[
  {
    "path": ".gitignore",
    "content": ".idea/*\n*__pycache__*\n*.pkl\n*.pt\n*.db\n*.pyc\nstatic/*\npersonal-data\nenv/\n"
  },
  {
    "path": ".gitmodules",
    "content": "[submodule \"BLIP\"]\n\tpath = BLIP\n\turl = https://github.com/salesforce/BLIP.git\n"
  },
  {
    "path": "CODE_OF_CONDUCT.md",
    "content": "# Code of Conduct\n\n## Our Pledge\n\nIn the interest of fostering an open and welcoming environment, we as\ncontributors and maintainers pledge to make participation in our project and\nour community a harassment-free experience for everyone, regardless of age, body\nsize, disability, ethnicity, sex characteristics, gender identity and expression,\nlevel of experience, education, socio-economic status, nationality, personal\nappearance, race, religion, or sexual identity and orientation.\n\n## Our Standards\n\nExamples of behavior that contributes to creating a positive environment\ninclude:\n\n* Using welcoming and inclusive language\n* Being respectful of differing viewpoints and experiences\n* Gracefully accepting constructive criticism\n* Focusing on what is best for the community\n* Showing empathy towards other community members\n\nExamples of unacceptable behavior by participants include:\n\n* The use of sexualized language or imagery and unwelcome sexual attention or\n  advances\n* Trolling, insulting/derogatory comments, and personal or political attacks\n* Public or private harassment\n* Publishing others' private information, such as a physical or electronic\n  address, without explicit permission\n* Other conduct which could reasonably be considered inappropriate in a\n  professional setting\n\n## Our Responsibilities\n\nProject maintainers are responsible for clarifying the standards of acceptable\nbehavior and are expected to take appropriate and fair corrective action in\nresponse to any instances of unacceptable behavior.\n\nProject maintainers have the right and responsibility to remove, edit, or\nreject comments, commits, code, wiki edits, issues, and other contributions\nthat are not aligned to this Code of Conduct, or to ban temporarily or\npermanently any contributor for other behaviors that they deem inappropriate,\nthreatening, offensive, or harmful.\n\n## Scope\n\nThis Code of Conduct applies within all project spaces, and it also applies when\nan individual is representing the project or its community in public spaces.\nExamples of representing a project or community include using an official\nproject e-mail address, posting via an official social media account, or acting\nas an appointed representative at an online or offline event. Representation of\na project may be further defined and clarified by project maintainers.\n\nThis Code of Conduct also applies outside the project spaces when there is a\nreasonable belief that an individual's behavior may have a negative impact on\nthe project or its community.\n\n## Enforcement\n\nInstances of abusive, harassing, or otherwise unacceptable behavior may be\nreported by contacting the project team at <opensource-conduct@fb.com>. All\ncomplaints will be reviewed and investigated and will result in a response that\nis deemed necessary and appropriate to the circumstances. The project team is\nobligated to maintain confidentiality with regard to the reporter of an incident.\nFurther details of specific enforcement policies may be posted separately.\n\nProject maintainers who do not follow or enforce the Code of Conduct in good\nfaith may face temporary or permanent repercussions as determined by other\nmembers of the project's leadership.\n\n## Attribution\n\nThis Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,\navailable at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html\n\n[homepage]: https://www.contributor-covenant.org\n\nFor answers to common questions about this code of conduct, see\nhttps://www.contributor-covenant.org/faq\n"
  },
  {
    "path": "CONTRIBUTING.md",
    "content": "# Contributing to personal-timeline\nWe want to make contributing to this project as easy and transparent as\npossible.\n\n## Pull Requests\nWe actively welcome your pull requests.\n\n1. Fork the repo and create your branch from `main`.\n2. If you've added code that should be tested, add tests.\n3. If you've changed APIs, update the documentation.\n4. Ensure the test suite passes.\n5. Make sure your code lints.\n6. If you haven't already, complete the Contributor License Agreement (\"CLA\").\n\n## Contributor License Agreement (\"CLA\")\nIn order to accept your pull request, we need you to submit a CLA. You only need\nto do this once to work on any of Meta's open source projects.\n\nComplete your CLA here: <https://code.facebook.com/cla>\n\n## Issues\nWe use GitHub issues to track public bugs. Please ensure your description is\nclear and has sufficient instructions to be able to reproduce the issue.\n\nMeta has a [bounty program](https://www.facebook.com/whitehat/) for the safe\ndisclosure of security bugs. In those cases, please go through the process\noutlined on that page and do not file a public issue.\n\n## License\nBy contributing to TimelineBuilder, you agree that your contributions will be licensed\nunder the LICENSE file in the root directory of this source tree.\n"
  },
  {
    "path": "DATASET.md",
    "content": "# Personal timeline dataset\n\nThis dataset is a sample of ~2 months of one of our own member’s personal digital services data self-collected and anonymized. The digital services include:\n\n* Books: Amazon Kindle and Libby, 93 records in total\n* Purchase: Amazon, 95 records in total\n* Streaming: Spotify, 111 records in total\n* Exercise: Apple Watch, 33 records in total\n* Photos: Google Photos, 325 records in total\n* Places: Geo locations (lat/long and addresses) from the Google photos metadata, 467 records in total\n\nAll raw data were downloaded from the service providers following our data importer instructions. \n\n## How we anonymize the data\n\n* *Books, purchase, streaming*: we reviewed each individual records\n* *Places (all location, address data)*: We anonymize near-home location data by a distance-preserving random project to a high-dimensional space then project back the points to 2D. We use reverse geo-coding to label the addresses of those points. For locations that are not near-home, we verified that all addresses are public space.\n* *Images*: We anonymize photos by replacing them with images generated using an AI-generation tool, DALL-E. We use object and place detection to generate captions of the raw images, and use the caption as the image generation prompt (e.g., “A realistic photo for egg tart in the kitchen”). We manually removed all images with people from the output.\n\n## How this dataset can be used\n\nWe intend to use this dataset to demostrate question-answer systems over digital service data. With the underlying data, the QA system, such as a personalized version of ChatGPT, should be able to answer questions such as:\n* “When was the last time I visited Japan”,\n* “Show me some photos of plants in my neighborhood”,\n* “How many times I exercise during the month X”, etc.\n\n## Example records\n\nBooks:\n\n| time               | book_name           | img_url                                                                                       | id       |\n|--------------------|---------------------|-----------------------------------------------------------------------------------------------|----------|\n| 2022-12-19 4:37:00 | I Am a Strange Loop | https://img1.od-cdn.com/ImageType-100/0887-1/{A6AA81F6-9242-4793-8AB0-A5C8B5DBDB66}Img100.jpg | books_26 |\n\nExercise: \n\n| start_time                | end_time                  | textDescription           | duration    | distance | calories | outdoor | temperature | id          |\n|---------------------------|---------------------------|---------------------------|-------------|----------|----------|---------|-------------|-------------|\n| 2019-03-02 08:00:34-08:00 | 2019-03-02 08:39:59 -0800 | 08:00: running 39 minutes | 39.40743217 | 0        | 0        | 1       |             | exercise_35 |\n\nPhotos:\n\n| start_time                | end_time                  | textDescription   | address                                                                   | lat     | long     | details                                                                                                                                                                                                                                    | img_url                                                                                              |\n|---------------------------|---------------------------|-------------------|---------------------------------------------------------------------------|---------|----------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------|\n| 2019-03-28 20:38:13+09:00 | 2019-03-28 20:38:13+09:00 | from Google Photo | Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan | 35.6644 | 139.7301 | {'objects': ['Tsukudani', 'Scroll', 'Document', 'Receipt', 'Homework', 'paper', 'menu', 'date', 'sheet, flat solid', 'shoji'], 'places': ['restaurant', 'hotel room', 'archive', 'sushi bar', 'restaurant kitchen'], 'tags': ['document']} | digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6955.HEIC.compressed.jpg |\n\nPurchase:\n\n| time                | purchase_id         | productName                                             | productPrice | productQuantity | id         |\n|---------------------|---------------------|---------------------------------------------------------|--------------|-----------------|------------|\n| 2022-07-26 16:29:16 | 114-9774413-4401831 | Dr. Earth 713 Organic 9 Fruit Tree Fertilizer, 12-Pound | 22.53        | 1               | purchase_0 |\n| 2022-07-26 16:28:27 | 114-9230659-7782623 | Miracle-Gro Citrus, Avocado, & Mango Food, 20 lb.       | 15.4         | 1               | purchase_1 |\n\nStreaming:\n\n| start_time          | end_time            | artist              | track                                                              | playtimeMs | spotify_link | id          |\n|---------------------|---------------------|---------------------|--------------------------------------------------------------------|------------|--------------|-------------|\n| 2022-05-31 11:35:00 | 2022-05-31 11:35:00 | Lex Fridman Podcast | #282 – David Buss: Sex, Dating, Relationships, and Sex Differences | 18000      |              | streaming_0 |\n\nPlaces:\n\n| start_time | end_time | TextDescription | start_address | start_lat | start_long | end_address | end_lat | end_long | id |\n|------------|----------|-----------------|---------------|-----------|------------|-------------|---------|----------|----|\n| 2019-04-20 13:02:58-07:00 | 2019-04-20 13:02:58-07:00 | Texas Home on Greg Street | 2966, Greg Street, Randall County, Texas, 79015, United States | 35.03744471122455 | -101.90857274320028 | 2966, Greg Street, Randall County, Texas, 79015, United States | 35.03744471122455 | -101.90857274320028 | places_27422 |\n"
  },
  {
    "path": "LICENSE",
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  },
  {
    "path": "NEW_DATASOURCE.md",
    "content": "# Adding a New Data Source\nThere are two ways to add a new data source depending on the complexity of input.\nIf you have a simple non-nested CSV or JSON file, it's quite straightforward and can be done by updating some configurations.\nFor more complex cases, writing a custom importer is required.\nInformation on both scenarios is detailed below.\n\n## Adding Data Source Configs\n[data_source.json](src/common/bootstrap/data_source.json) keeps track of all sources and should be updated \nirrespective of the path you choose to add the new source.\nThis file contains a list of all data sources that are processed by the importer. \nIn code, these configs are deserialized to class structure defined in [import_configs.py](src/common/objects/import_configs.py).\n- Refer to [Class Hierarchy](src/common/objects/import_configs.py) to properly add an entry to \n[data_source.json](src/common/bootstrap/data_source.json). Give a unique source ID to your data source.\n\n\n## Simple Non-nested CSV and JSONs\nIf you have a simple non-nested CSV or JSON file, you can simply use the generic CSV/JSON importer provided once the new data source is configured properly.\nSteps to follow:\n- Follow steps in \"Adding Data Source Configs\" section to update [data_source.json](src/common/bootstrap/data_source.json) file.\n- Rerun [init.py](src/init.py) to create source directory for new sources.\n- Add data files to source directory.\n- Make sure `ingest_new_data` is set to True in [ingest.conf](conf/ingest.conf)\n- Re-run the backend docker image to ingest data from new sources.\n\n## More complex Inputs\nWrite a custom importer following these guidelines \n- Follow steps in \"Adding Data Source Configs\" section to update [data_source.json](src/common/bootstrap/data_source.json) file.\n- Extend your custom importer from [GenericImporter](src/ingest/importers/generic_importer.py) class; \n    implement the function `import_data` and use the configurations as appropriate to create LLEntry objects(Refer to available custom importers)\n- Store class file under [importers](src/ingest/importers)\n- Update `generic_importer_workflow.py`; add call to your class in the `if...else` loop of the `start_import` function. Alternatively, contribute to fix this class using configs.\n\nWhen writing new importer for Photos, you may find it useful to extend `PhotoImporter` instead of `GenericImporter`. \nWe started with simple Photo imports so `PhotoImporter` was written to reduce code duplication.\nCreating `GenericImporter` was an afterthought and there is room for improving this model of extension to refactor, or even combine\nthese two importer classes in the future. \n"
  },
  {
    "path": "README.md",
    "content": "<!-- This file explains how to create LifeLog entries from several data sources. -->\n\n# TimelineBuilder\n\n## Table of Content\n\n- [Setup](#general-setup): how to set up for this repo\n- [Importers](#digital-data-importers): how to create LifeLog entries from several data sources.\n  - [Downloading Digital Data](#downloading-your-personal-data)\n  - [Running the importers](#running-the-code)\n- [Sample Dataset](DATASET.md): a sampled set of anonymized data for testing\n- [Data Visualization](#visualization-of-the-personal-timeline): a ReactJS-based visualization frontend of the personal timeline\n- [Question Answering](#question-answer-over-the-personal-timeline): a LLM-based QA engine over the personal timeline\n- [TimelineQA](#timelineqa-a-benchmark-for-question-answer-over-the-personal-timeline): a synthetic benchmark for evaluating personal timeline QA systems\n\n## General Setup\n\n## Step 0: Create environment\n\n1. Install Docker Desktop from [this link](https://docs.docker.com/desktop/).\n\n2. Follow install steps and use the Desktop app to start the docker engine.\n\n3. Install `git-lfs` and clone the repo. You may need a conda env to do that:\n```\nconda create -n personal-timeline python=3.10\nconda activate personal-timeline\n\nconda install -c conda-forge git-lfs\ngit lfs install\n\ngit clone https://github.com/facebookresearch/personal-timeline\ncd personal-timeline\n```\n\n4. Run init script (needs python)\n```\nsh src/init.sh\n```\nThis will create a bunch of files/folders/symlinks needed for running the app.\nThis will also create a new directory under your home folder `~/personal-data`, the directory where your personal data will reside.\n\n## Step 1: Setting up\n\n\n## For Data Ingestion\n\nIngestion configs are controlled via parameters in `conf/ingest.conf` file. The configurations\nare defaulted for optimized processing and don't need to be changed. \nYou can adjust values for these parameters to run importer with a different configuration.\n\n\n\n## For Data visualization\n\n1. To set up a Google Map API (free), follow these [instructions](https://developers.google.com/maps/documentation/embed/quickstart#create-project).\n\nCopy the following lines to `env/frontend.env.list`:\n```\nGOOGLE_MAP_API=<the API key goes here>\n```\n\n2. To embed Spotify, you need to set up a Spotify API (free) following [here](https://developer.spotify.com/dashboard/applications). You need to log in with a Spotify account, create a project, and show the `secret`.\n\nCopy the following lines to `env/frontend.env.list`:\n```\nSPOTIFY_TOKEN=<the token goes here>\nSPOTIFY_SECRET=<the secret goes here>\n```\n\n## For Question-Answering\n\nSet up an OpenAI API following these [instructions](https://openai.com/api/).\n\nCopy the following line to `env/frontend.env.list`:\n```\nOPENAI_API_KEY=<the API key goes here>\n```\n\n## Digital Data Importers\n\n\n## Downloading your personal data\n\nWe currently support 9 data sources. Here is a summary table:\n\n| Digital Services | Instructions                                                                        | Destinations                                                             | Use cases                                              |\n|------------------|-------------------------------------------------------------------------------------|--------------------------------------------------------------------------|--------------------------------------------------------|\n| Apple Health     | [Link](https://github.com/facebookresearch/personal-timeline#apple-health)  | personal-data/apple-health                                               | Exercise patterns, calorie counts                      |\n| Amazon           | [Link](https://github.com/facebookresearch/personal-timeline#amazon)        | personal-data/amazon                                                     | Product recommendation, purchase history summarization |\n| Amazon Kindle    | [Link](https://github.com/facebookresearch/personal-timeline#amazon)        | personal-data/amazon-kindle                                              | Book recommendation                                    |\n| Spotify          | [Link](https://github.com/facebookresearch/personal-timeline#spotify)       | personal-data/spotify                                                    | Music / streaming recommendation                       |\n| Venmo            | [Link](https://github.com/facebookresearch/personal-timeline#venmo)         | personal-data/venmo                                                      | Monthly spend summarization                            |\n| Libby            | [Link](https://github.com/facebookresearch/personal-timeline#libby)         | personal-data/libby                                                      | Book recommendation                                    |\n| Google Photos    | [Link](https://github.com/facebookresearch/personal-timeline#google-photos) | personal-data/google_photos                                              | Food recommendation, Object detections, and more               |\n| Google Location  | [Link](https://github.com/facebookresearch/personal-timeline#google-photos) | personal-data/google-timeline/Location History/Semantic Location History | Location tracking / visualization                      |\n| Facebook posts   | [Link](https://github.com/facebookresearch/personal-timeline#facebook-data) | personal-data/facebook                                                   | Question-Answering over FB posts / photos              |\n\nIf you have a different data source not listed above, follow the instructions [here](NEW_DATASOURCE.md)\nto add this data source to the importer.\n\n### GOOGLE PHOTOS and GOOGLE TIMELINE\n<!--1. You need to download your Google photos from [Google Takeout](https://takeout.google.com/).  \nThe download from Google Takeout would be in multiple zip files. Unzip all the files.\n\n2. It may be the case that some of your photo files are .HEIC. In that case follow the steps below to convert them to .jpeg  \nThe easiest way to do this on a Mac is:\n\n     -- Select the .HEIC files you want to convert.   \n     -- Right click and choose \"quick actions\" and then you'll have an option to convert the image.  \n     -- If you're converting many photos, this may take a few minutes. \n\n2. Move all the unzipped folders inside `~/personal-data/google_photos/`. There can be any number of sub-folders under `google_photos`.-->\n\n1. You can download your Google photos and location (also Gmail, map and google calendar) data from [Google Takeout](https://takeout.google.com/).\n2. The download from Google Takeout would be in multiple zip files. Unzip all the files.\n3. For Google photos, move all the unzipped folders inside `~/personal-data/google_photos/`. There can be any number of sub-folders under `google_photos`.\n4. For Google locations, move the unzipped files to `personal-data/google-timeline/Location History/Semantic Location History`.\n\n### FACEBOOK DATA\n1. Go to [Facebook Settings](https://www.facebook.com/settings?tab=your_facebook_information) \n2. Click on <b>Download your information</b> and download FB data in JSON format\n3. Unzip the downloaded file and copy the directory `posts` sub-folder to `~/personal-data/facebook`. The `posts` folder would sit directly under the Facebook folder.\n\n### APPLE HEALTH\n1. Go to the Apple Health app on your phone and ask to export your data. This will create a file called iwatch.xml and that's the input file to the importer.\n2. Move the downloaded file to this `~/personal-data/apple-health`\n\n### AMAZON\n1. Request your data from Amazon here: https://www.amazon.com/gp/help/customer/display.html?nodeId=GXPU3YPMBZQRWZK2\nThey say it can take up to 30 days, but it took about 2 days. They'll email you when it's ready.\n\nThey separate Amazon purchases from Kindle purchases into two different directories.\n\nThe file you need for Amazon purchases is Retail.OrderHistory.1.csv\nThe file you need for Kindle purchases is Digital Items.csv\n\n2. Move data for Amazon purchases to `~/personal-data/amazon` folder and of kindle downloads to `~/personal-data/amazon-kindle` folder\n\n### VENMO\n1. Download your data from Venmo here -- https://help.venmo.com/hc/en-us/articles/360016096974-Transaction-History\n\n2. Move the data into `~/personal-data/venmo` folder.\n\n### LIBBY\n1. Download your data from Libby here -- https://libbyapp.com/timeline/activities. Click on `Actions` then `Export Timeline`\n\n2. Move the data into `~/personal-data/libby` folder.\n\n\n### SPOTIFY\n\n1. Download your data from Spotify here -- https://support.spotify.com/us/article/data-rights-and-privacy-settings/\nThey say it can take up to 30 days, but it took about 2 days. They'll email you when it's ready.\n\n2. Move the data into `~/personal-data/spotify` folder.\n\n# Running the code\nNow that we have all the data and setting in place, we can either run individual steps or the end-to-end system.\nThis will import your photo data to SQLite (this is what will go into the episodic database), build summaries\nand make data available for visualization and search.\n\n\nRunning the Ingestion container will add two types of file to `~/personal-data/app_data` folder\n - Import your data to an SQLite DB named `raw_data.db`\n - Export your personal data into csv files such as `books.csv`, `exercise.csv`, etc.\n\n### Option 1:\nTo run the pipeline end-to-end (with frontend and QA backend), simply run \n```\ndocker-compose up -d --build\n```\n\n### Option 2:\nYou can also run ingestion, visualization, and the QA engine separately.\nTo start data ingestion, use  \n```\ndocker-compose up -d backend --build\n```\n\n## Check progress\nOnce the docker command is run, you can see running containers for backend and frontend in the docker for Mac UI.\nCopy the container Id for ingest and see logs by running the following command:  \n```\ndocker logs -f <container_id>\n```\n\n<!-- # Step 5: Visualization and Question Answering -->\n\n## Visualization of the personal timeline\n\nTo start the visualization frontend:\n```\ndocker-compose up -d frontend --build\n```\n\nRunning the Frontend will start a ReactJS UI at `http://localhost:3000`. See [here](src/frontend/) for more details.\n\nWe provide an anonymized digital data [dataset](sample_data/) for testing the UI and QA system, see [here](DATASET.md) for more details.\n\n![Timeline Visualization](ui.png)\n\n\n## Question Answer over the personal timeline\n\nThe QA engine is based on PostText, a QA system for answering queries that require computing aggregates over personal data.\n\nPostText Reference ---  [https://arxiv.org/abs/2306.01061](https://arxiv.org/abs/2306.01061):\n```\n@article{tan2023posttext,\n      title={Reimagining Retrieval Augmented Language Models for Answering Queries},\n      author={Wang-Chiew Tan and Yuliang Li and Pedro Rodriguez and Richard James and Xi Victoria Lin and Alon Halevy and Scott Yih},\n      journal={arXiv preprint:2306.01061},\n      year={2023},\n}\n```\n\nTo start the QA engine, run:\n```\ndocker-compose up -d qa --build\n```\nThe QA engine will be running on a flask server inside a docker container at `http://localhost:8085`. \n\nSee [here](src/qa) for more details.\n\n![QA Engine](qa.png)\n\nThere are 3 options for the QA engine.\n* *ChatGPT*: uses OpenAI's gpt-3.5-turbo [API](https://platform.openai.com/docs/models/overview) without the personal timeline as context. It answers world knowledge question such as `what is the GDP of US in 2021` but not personal questions.\n* *Retrieval-based*: answers question by retrieving the top-k most relevant episodes from the personal timeline as the LLM's context. It can answer questions over the personal timeline such as `show me some plants in my neighborhood`.\n* *View-based*: translates the input question to a (customized) SQL query over tabular views (e.g., books, exercise, etc.) of the personal timeline. This QA engine is good at answering aggregate queries (`how many books did I purchase?`) and min/max queries (`when was the last time I travel to Japan`).\n\n\nExample questions you may try:\n* `Show me some photos of plants in my neighborhood`\n* `Which cities did I visit when I traveled to Japan?`\n* `How many books did I purchase in April?`\n\n## TimelineQA: a benchmark for Question Answer over the personal timeline\n\nTimelineQA is a synthetic benchmark for accelerating progress on querying personal timelines. \nTimelineQA generates lifelogs of imaginary people. The episodes in the lifelog range from major life episodes such as high\nschool graduation to those that occur on a daily basis such as going for a run. We have evaluated SOTA models for atomic and multi-hop QA on the benchmark. \n\nPlease check out the TimelineQA github [repo](https://github.com/facebookresearch/TimelineQA) and the TimelineQA paper ---  [https://arxiv.org/abs/2306.01061](https://arxiv.org/abs/2306.01061):\n```\n@article{tan2023timelineqa,\n  title={TimelineQA: A Benchmark for Question Answering over Timelines},\n  author={Tan, Wang-Chiew and Dwivedi-Yu, Jane and Li, Yuliang and Mathias, Lambert and Saeidi, Marzieh and Yan, Jing Nathan and Halevy, Alon Y},\n  journal={arXiv preprint arXiv:2306.01069},\n  year={2023}\n}\n```\n\n## License\n\nThe codebase is licensed under the [Apache 2.0 license](LICENSE).\n\n## Contributing\n\nSee [contributing](CONTRIBUTING.md) and the [code of conduct](CODE_OF_CONDUCT.md).\n\n## Contributor Attribution\n\nWe'd like to thank the following contributors for their contributions to this project:\n- [Tripti Singh](https://github.com/tripti-singh)\n  - Design and implementation of the sqlite DB backend\n  - Designing a pluggable data import and enrichment layer and building the pipeline orchestrator.\n  - Importers for all six [data sources](​​https://github.com/facebookresearch/personal-timeline#digital-data-importers)\n  - Generic csv and json data sources importer with [instructions](https://github.com/facebookresearch/personal-timeline/blob/main/NEW_DATASOURCE.md)\n  - Dockerization\n  - Contributing in Documentation\n- [Wang-Chiew Tan](https://github.com/wangchiew)\n  - Implementation of the [PostText](https://arxiv.org/abs/2306.01061) query engine\n- [Pierre Moulon](https://github.com/SeaOtocinclus) for providing open-sourcing guidelines and suggestions\n"
  },
  {
    "path": "conf/ingest.conf",
    "content": "# incremental_* if True, will only process data that was not processed previously.\n# When false, it will re-process all data. Useful when there is new logic that requires re-compute of everything from beginning.\ningest_new_data=True\nincremental_geo_enrich=True\nincremental_image_enrich=True\nincremental_export=False\n# export_enriched_data_to_json=True\nenriched_data_to_json=True"
  },
  {
    "path": "docker-compose.yml",
    "content": "version: \"3.9\"\n\nservices:\n  frontend:\n    build:\n      context: .\n      dockerfile: src/frontend/Dockerfile\n    ports:\n      - \"3000:3000\"\n    volumes:\n      - ./personal-data/:/app/personal-data/\n    environment:\n      - APP_DATA_DIR=/app/personal-data/app_data\n    env_file:\n      - env/frontend.env.list\n\n  qa:\n    build:\n      context: .\n      dockerfile: src/qa/Dockerfile\n    ports:\n      - \"8085:8085\"\n    volumes:\n      - ./personal-data/:/app/personal-data/\n    environment:\n      - APP_DATA_DIR=/app/personal-data/app_data\n    env_file:\n      - env/frontend.env.list\n\n  backend:\n    build:\n      context: .\n      dockerfile: src/ingest/Dockerfile\n    volumes:\n      - ./personal-data/:/app/personal-data/\n    environment:\n      - APP_DATA_DIR=/app/personal-data/app_data\n    env_file:\n      - env/frontend.env.list\n      - conf/ingest.conf\n"
  },
  {
    "path": "notebooks/extract_narration_tutorial.ipynb",
    "content": "{\n  \"cells\": [\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"fb140897\",\n      \"metadata\": {\n        \"id\": \"fb140897\"\n      },\n      \"source\": [\n        \"# Extract Narrations and Audio Captions Tutorial\\n\",\n        \"\\n\",\n        \"In this tutorial, you will be extracting video narrations through an auto-narration model, LaViLa, as well as audio captions through speech-to-text model, WhisperX. Finally, you will be able to interact with the extracted narrations and captions using langchain.\\n\",\n        \"\\n\",\n        \"### Notebook stuck?\\n\",\n        \"Note that because of Jupyter issues, sometimes the code may stuck at visualization. We recommend **restart the kernels** and try again to see if the issue is resolved.\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"l5LlycOs75bf\",\n      \"metadata\": {\n        \"id\": \"l5LlycOs75bf\"\n      },\n      \"source\": [\n        \"## Step 1. Install Project Aria Tools\\n\",\n        \"Run the following cell to install Project Aria Tools for reading Aria recordings in .vrs format\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"Yt5CoQlp8Cxw\",\n      \"metadata\": {\n        \"id\": \"Yt5CoQlp8Cxw\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"# Specifics for Google Colab\\n\",\n        \"google_colab_env = 'google.colab' in str(get_ipython())\\n\",\n        \"print(\\\"Running from Google Colab, installing projectaria_tools\\\")\\n\",\n        \"!pip install projectaria-tools\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"Tv0I3ajm7TyH\",\n      \"metadata\": {\n        \"id\": \"Tv0I3ajm7TyH\"\n      },\n      \"source\": [\n        \"## Step 2. Prepare an Aria recording\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"### Prepare your collected Aria recording\\n\",\n        \"We will set the vrsfile path to your collected Aria recording.\\n\",\n        \"\\n\",\n        \"Upload your Aria recording in your Google Drive before running the cell.\\n\",\n        \"\\n\",\n        \"Here, we assume it is uploaded to **`My Drive/aria/recording.vrs`**\\n\",\n        \"\\n\",\n        \"*(You can check the content of the mounted drive by running `!ls \\\"/content/drive/My Drive/\\\"` in a cell.)*\\n\",\n        \"\\n\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"WKyjF8fF7tA_\",\n      \"metadata\": {\n        \"id\": \"WKyjF8fF7tA_\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"from google.colab import drive\\n\",\n        \"import os\\n\",\n        \"drive.flush_and_unmount()\\n\",\n        \"drive.mount('/content/drive/')\\n\",\n        \"my_vrs_file_path = 'aria/recording.vrs'\\n\",\n        \"vrsfile = \\\"/content/drive/My Drive/\\\" + my_vrs_file_path\\n\",\n        \"print(f\\\"INFO: vrsfile set to {vrsfile}\\\")\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"vZLboooc7QLQ\",\n      \"metadata\": {\n        \"id\": \"vZLboooc7QLQ\"\n      },\n      \"source\": [\n        \"## Tip: Avoid re-installation of packages\\n\",\n        \"Follow the below steps to avoid re-installation of package due to Colab shutting off or restarts later when running the scripts.\\n\",\n        \"\\n\",\n        \"(1) Create a folder called “ColabNotebooks” manually in your Drive (under \\\"My Drive\\\").\\n\",\n        \"\\n\",\n        \"(2) Then, run the below cell to add the symlink path to the system path.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"vnjjSGXlc4-i\",\n      \"metadata\": {\n        \"id\": \"vnjjSGXlc4-i\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"# This step is to save package\\n\",\n        \"nb_path = '/content/notebooks'\\n\",\n        \"os.symlink('/content/drive/My Drive/ColabNotebooks', nb_path)\\n\",\n        \"sys.path.insert(0,nb_path)\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"dHN4k57-nGBC\",\n      \"metadata\": {\n        \"id\": \"dHN4k57-nGBC\"\n      },\n      \"source\": [\n        \"\\n\",\n        \"#### (Optional) Download a sample data for debugging\\n\",\n        \"Use this small scale sample data for testing out the dependencies.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"2aJEwVNJnDsL\",\n      \"metadata\": {\n        \"id\": \"2aJEwVNJnDsL\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"# !curl -O -J -L \\\"https://github.com/facebookresearch/projectaria_tools/raw/main/data/mps_sample/sample.vrs\\\"\\n\",\n        \"# vrsfile = \\\"sample.vrs\\\"\\n\",\n        \"# print(f\\\"INFO: vrsfile set to {vrsfile}\\\")\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"8196ad05\",\n      \"metadata\": {\n        \"id\": \"8196ad05\"\n      },\n      \"source\": [\n        \"## Step 3. Create data provider\\n\",\n        \"\\n\",\n        \"Create projectaria data_provider so you can load the content of the vrs file.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"fb04b53b\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"fb04b53b\",\n        \"outputId\": \"72defac0-8eae-41be-afc4-44f132e39e88\"\n      },\n      \"outputs\": [\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"Creating data provider from /content/drive/My Drive/aria/recording_long.vrs\\n\"\n          ]\n        }\n      ],\n      \"source\": [\n        \"from projectaria_tools.core import data_provider, calibration\\n\",\n        \"from projectaria_tools.core.sensor_data import TimeDomain, TimeQueryOptions\\n\",\n        \"from projectaria_tools.core.stream_id import RecordableTypeId, StreamId\\n\",\n        \"import numpy as np\\n\",\n        \"from matplotlib import pyplot as plt\\n\",\n        \"\\n\",\n        \"print(f\\\"Creating data provider from {vrsfile}\\\")\\n\",\n        \"provider = data_provider.create_vrs_data_provider(vrsfile)\\n\",\n        \"if not provider:\\n\",\n        \"    print(\\\"Invalid vrs data provider\\\")\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"c5033225\",\n      \"metadata\": {\n        \"id\": \"c5033225\"\n      },\n      \"source\": [\n        \"## Step 4. Display VRS rgb content in thumbnail images\\n\",\n        \"\\n\",\n        \"Goals:\\n\",\n        \"- Summarize a VRS using 10 image side by side, to visually inspect the collected data.\\n\",\n        \"\\n\",\n        \"Key learnings:\\n\",\n        \"- Image streams are identified with a Unique Identifier: stream_id\\n\",\n        \"- Image frames are identified with timestamps\\n\",\n        \"- PIL images can be created from Numpy array\\n\",\n        \"\\n\",\n        \"Customization\\n\",\n        \"- To change the number of sampled images, change the variable `sample_count` to a desired number.\\n\",\n        \"- To change the thumbnail size, change the variable `resize_ratio` to a desired value.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"933725b6\",\n      \"metadata\": {\n        \"id\": \"933725b6\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"from PIL import Image\\n\",\n        \"from tqdm import tqdm\\n\",\n        \"\\n\",\n        \"sample_count = 10\\n\",\n        \"resize_ratio = 10\\n\",\n        \"\\n\",\n        \"rgb_stream_id = StreamId(\\\"214-1\\\")\\n\",\n        \"\\n\",\n        \"# Retrieve image size for the RGB stream\\n\",\n        \"time_domain = TimeDomain.DEVICE_TIME  # query data based on host time\\n\",\n        \"option = TimeQueryOptions.CLOSEST # get data whose time [in TimeDomain] is CLOSEST to query time\\n\",\n        \"\\n\",\n        \"# Retrieve Start and End time for the given Sensor Stream Id\\n\",\n        \"start_time = provider.get_first_time_ns(rgb_stream_id, time_domain)\\n\",\n        \"end_time = provider.get_last_time_ns(rgb_stream_id, time_domain)\\n\",\n        \"\\n\",\n        \"image_config = provider.get_image_configuration(rgb_stream_id)\\n\",\n        \"width = image_config.image_width\\n\",\n        \"height = image_config.image_height\\n\",\n        \"\\n\",\n        \"thumbnail = newImage = Image.new(\\n\",\n        \"    \\\"RGB\\\", (int(width * sample_count / resize_ratio), int(height / resize_ratio))\\n\",\n        \")\\n\",\n        \"current_width = 0\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"# Samples 10 timestamps\\n\",\n        \"sample_timestamps = np.linspace(start_time, end_time, sample_count)\\n\",\n        \"for sample in tqdm(sample_timestamps):\\n\",\n        \"    image_tuple = provider.get_image_data_by_time_ns(rgb_stream_id, int(sample), time_domain, option)\\n\",\n        \"    image_array = image_tuple[0].to_numpy_array()\\n\",\n        \"    image = Image.fromarray(image_array)\\n\",\n        \"    new_size = (\\n\",\n        \"        int(image.size[0] / resize_ratio),\\n\",\n        \"        int(image.size[1] / resize_ratio),\\n\",\n        \"    )\\n\",\n        \"    image = image.resize(new_size).rotate(-90)\\n\",\n        \"    thumbnail.paste(image, (current_width, 0))\\n\",\n        \"    current_width = int(current_width + width / resize_ratio)\\n\",\n        \"\\n\",\n        \"from IPython.display import Image\\n\",\n        \"display(thumbnail)\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"nFkss4vlaWxh\",\n      \"metadata\": {\n        \"id\": \"nFkss4vlaWxh\"\n      },\n      \"source\": [\n        \"## Step 5. Prepare Pytorch Data Loader for Auto-Narration\\n\",\n        \"\\n\",\n        \"Here, we will be creating a pytorch data loader that outputs batches of video snippets in order to run the LaViLa auto-narration model.\\n\",\n        \"\\n\",\n        \"A **snippet** consists of a series of frames captured over a brief time span, which we will refer to as **snippet duration**.\\n\",\n        \"\\n\",\n        \"#### Step 5-1. Define Dataset\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"Kee0HuCgKUy_\",\n      \"metadata\": {\n        \"id\": \"Kee0HuCgKUy_\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"import torch\\n\",\n        \"from torch.utils.data import Dataset, DataLoader\\n\",\n        \"from PIL import Image\\n\",\n        \"import torchvision.transforms as transforms\\n\",\n        \"import torchvision.transforms._transforms_video as transforms_video\\n\",\n        \"import torch.nn as nn\\n\",\n        \"\\n\",\n        \"class RGBSnippetDataset(Dataset):\\n\",\n        \"    def __init__(self,\\n\",\n        \"                 start_time: float, # start time in the video for sampling data\\n\",\n        \"                 end_time: float, # end time in the video for sampling data\\n\",\n        \"                 snippet_dur_sec: int, # snippet duration\\n\",\n        \"                 frames_per_snippet: int, # number of frames per snippet\\n\",\n        \"                 transform=None\\n\",\n        \"    ):\\n\",\n        \"        self.start_time = start_time\\n\",\n        \"        self.end_time = end_time\\n\",\n        \"        self.snippet_dur = snippet_dur_sec * 1000000000 # duration of a snippet in nano seconds\\n\",\n        \"        self.frames_per_snippet = frames_per_snippet # number of frames per snippet\\n\",\n        \"        self.stride_ns = int(self.snippet_dur//frames_per_snippet)\\n\",\n        \"        self.num_snippets = int((end_time - start_time) // self.snippet_dur)\\n\",\n        \"        self.snippet_starts = np.arange(start_time, start_time + self.snippet_dur * self.num_snippets, self.snippet_dur)\\n\",\n        \"\\n\",\n        \"        # Precompute timestamps for each snippet\\n\",\n        \"        self.all_frame_timestamps = [np.arange(snippet_start, snippet_start + self.snippet_dur, self.stride_ns) for snippet_start in self.snippet_starts]\\n\",\n        \"\\n\",\n        \"        self.rgb_stream_id = rgb_stream_id\\n\",\n        \"        self.time_domain = time_domain\\n\",\n        \"        self.option = option\\n\",\n        \"        self.transform = transform\\n\",\n        \"\\n\",\n        \"    def __len__(self):\\n\",\n        \"        return self.num_snippets\\n\",\n        \"\\n\",\n        \"    def __getitem__(self, idx):\\n\",\n        \"        # returns a snippet\\n\",\n        \"\\n\",\n        \"        # get timestamps of frames that belong to the current snippet idx\\n\",\n        \"        frame_timestamps = self.all_frame_timestamps[idx]\\n\",\n        \"\\n\",\n        \"        # read frames from the data provider and append to frame_list\\n\",\n        \"        frame_list = []\\n\",\n        \"        for timestamp in frame_timestamps:\\n\",\n        \"            image_tuple = provider.get_image_data_by_time_ns(self.rgb_stream_id, int(timestamp), self.time_domain, self.option)\\n\",\n        \"            image_array = image_tuple[0].to_numpy_array()\\n\",\n        \"            frame_list.append(image_array)\\n\",\n        \"\\n\",\n        \"        # append a set of images to a snippet\\n\",\n        \"        frames = [torch.tensor(frame, dtype=torch.float32) for frame in frame_list]\\n\",\n        \"        frames = torch.stack(frames, dim=0)\\n\",\n        \"\\n\",\n        \"        if self.transform:\\n\",\n        \"          frames = self.transform(frames)\\n\",\n        \"\\n\",\n        \"        # return snippet start time and end time\\n\",\n        \"        snippet_start = self.snippet_starts[idx]\\n\",\n        \"        snippet_end = snippet_start + self.snippet_dur\\n\",\n        \"\\n\",\n        \"        return frames, snippet_start, snippet_end\\n\",\n        \"\\n\",\n        \"class Permute(nn.Module):\\n\",\n        \"    \\\"\\\"\\\"\\n\",\n        \"    Permutation as an op\\n\",\n        \"    \\\"\\\"\\\"\\n\",\n        \"    def __init__(self, ordering):\\n\",\n        \"        super().__init__()\\n\",\n        \"        self.ordering = ordering\\n\",\n        \"\\n\",\n        \"    def forward(self, frames):\\n\",\n        \"        \\\"\\\"\\\"\\n\",\n        \"        Args:\\n\",\n        \"            frames in some ordering, by default (C, T, H, W)\\n\",\n        \"        Returns:\\n\",\n        \"            frames in the ordering that was specified\\n\",\n        \"        \\\"\\\"\\\"\\n\",\n        \"        return frames.permute(self.ordering)\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"N7p7uCJZKPNm\",\n      \"metadata\": {\n        \"id\": \"N7p7uCJZKPNm\"\n      },\n      \"source\": [\n        \"#### Step 5-2. Construct Data Loader\\n\",\n        \"Here you can set batch size (`batch_size`) as well as customize start time, end_time for running auto-narration.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"gWvmKM_nS0Ri\",\n      \"metadata\": {\n        \"id\": \"gWvmKM_nS0Ri\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"# Retrieve Start and End time for the given Sensor Stream Id\\n\",\n        \"start_time = provider.get_first_time_ns(rgb_stream_id, time_domain)\\n\",\n        \"end_time = provider.get_last_time_ns(rgb_stream_id, time_domain)\\n\",\n        \"\\n\",\n        \"batch_size = 2 # batch size in dataloader (Decrease/increase based on the GPU memory)\\n\",\n        \"image_size = 224  # image size after resizing (Do not change for LaViLa)\\n\",\n        \"snippet_dur_sec = 2  # duration of a snippet (We recommend values between 1-10.)\\n\",\n        \"frames_per_snippet = 4  # number of frames per snippet (Do not change for LaViLa)\\n\",\n        \"\\n\",\n        \"val_transform = transforms.Compose([\\n\",\n        \"    Permute([3, 0, 1, 2]),  # T H W C -> C T H W\\n\",\n        \"    transforms.Resize(image_size),\\n\",\n        \"    transforms_video.NormalizeVideo(mean=[108.3272985, 116.7460125, 104.09373615000001], std=[68.5005327, 66.6321579, 70.32316305]),\\n\",\n        \"])\\n\",\n        \"rgb_snippet_dataset = RGBSnippetDataset(start_time, end_time, snippet_dur_sec=snippet_dur_sec, frames_per_snippet=frames_per_snippet, transform=val_transform)\\n\",\n        \"snippet_dataloader = DataLoader(rgb_snippet_dataset, batch_size=batch_size, shuffle=False)\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"ixrGS0J0afaE\",\n      \"metadata\": {\n        \"id\": \"ixrGS0J0afaE\"\n      },\n      \"source\": [\n        \"## Step 6. Install LaViLa auto-narration library\\n\",\n        \"Now that the data is prepared, let's install LaViLa library.\\n\",\n        \"\\n\",\n        \"LaViLa (Language augmented Video Language Pretraining) is a video narration model that is trained on Ego4D.\\n\",\n        \"It is used for generating text descriptions for your captured recordings in this tutorial.\\n\",\n        \"- Paper: https://arxiv.org/abs/2212.04501\\n\",\n        \"- Code: https://github.com/facebookresearch/LaViLa\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"7vLd1utsaqAr\",\n      \"metadata\": {\n        \"id\": \"7vLd1utsaqAr\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"# install LaViLa as dependency\\n\",\n        \"!pip install git+https://github.com/zhaoyang-lv/LaViLa\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"9xPZVr6eMIsp\",\n      \"metadata\": {\n        \"id\": \"9xPZVr6eMIsp\"\n      },\n      \"source\": [\n        \"## Step 7. Define helper functions for LaViLa\\n\",\n        \"\\n\",\n        \"Run the following cell for defining helper functions for (1) loading pre-trained models and tokenizers, (2) decoding generated tokens, and (3) run model on a batch of snippets.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"qFnuvPo1b3Dk\",\n      \"metadata\": {\n        \"id\": \"qFnuvPo1b3Dk\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"import os\\n\",\n        \"import urllib.request\\n\",\n        \"from collections import OrderedDict\\n\",\n        \"import torch\\n\",\n        \"\\n\",\n        \"from lavila.models.models import VCLM_OPENAI_TIMESFORMER_LARGE_336PX_GPT2_XL, VCLM_OPENAI_TIMESFORMER_BASE_GPT2\\n\",\n        \"from lavila.models.tokenizer import MyGPT2Tokenizer\\n\",\n        \"\\n\",\n        \"DEFAULT_CHECKPOINT = 'vclm_openai_timesformer_base_gpt2_base.pt_ego4d.jobid_319630.ep_0002.md5sum_68a71f.pth'\\n\",\n        \"# DEFAULT_CHECKPOINT = 'vclm_openai_timesformer_large_336px_gpt2_xl.pt_ego4d.jobid_246897.ep_0003.md5sum_443263.pth'\\n\",\n        \"\\n\",\n        \"def load_models_and_transforms(num_frames=4, ckpt_name=DEFAULT_CHECKPOINT, device='cpu'):\\n\",\n        \"    '''\\n\",\n        \"    Helper function for loading oading pre-trained models and tokenizers\\n\",\n        \"    '''\\n\",\n        \"    ckpt_path = os.path.join('lavila/modelzoo/', ckpt_name)\\n\",\n        \"    print(f\\\"ckpt_path: {os.path.abspath(ckpt_path)}\\\")\\n\",\n        \"    os.makedirs('lavila/modelzoo/', exist_ok=True)\\n\",\n        \"    if not os.path.exists(ckpt_path):\\n\",\n        \"        print('downloading model to {}'.format(ckpt_path))\\n\",\n        \"        urllib.request.urlretrieve('https://dl.fbaipublicfiles.com/lavila/checkpoints/narrator/{}'.format(ckpt_name), ckpt_path)\\n\",\n        \"    ckpt = torch.load(ckpt_path, map_location='cpu')\\n\",\n        \"    state_dict = OrderedDict()\\n\",\n        \"    for k, v in ckpt['state_dict'].items():\\n\",\n        \"        state_dict[k.replace('module.', '')] = v\\n\",\n        \"\\n\",\n        \"    # instantiate the model, and load the pre-trained weights\\n\",\n        \"    # model = VCLM_OPENAI_TIMESFORMER_LARGE_336PX_GPT2_XL(\\n\",\n        \"    model = VCLM_OPENAI_TIMESFORMER_BASE_GPT2(\\n\",\n        \"        text_use_cls_token=False,\\n\",\n        \"        project_embed_dim=256,\\n\",\n        \"        gated_xattn=True,\\n\",\n        \"        timesformer_gated_xattn=False,\\n\",\n        \"        freeze_lm_vclm=False,      # we use model.eval() anyway\\n\",\n        \"        freeze_visual_vclm=False,  # we use model.eval() anyway\\n\",\n        \"        num_frames=num_frames,\\n\",\n        \"        drop_path_rate=0.\\n\",\n        \"    )\\n\",\n        \"    model.load_state_dict(state_dict, strict=True)\\n\",\n        \"\\n\",\n        \"    device_type_str = device.type if isinstance(device, torch.device) else device\\n\",\n        \"    if device_type_str != 'cpu':\\n\",\n        \"        model = model.to(device)\\n\",\n        \"    model.eval()\\n\",\n        \"\\n\",\n        \"    tokenizer = MyGPT2Tokenizer('gpt2', add_bos=True)\\n\",\n        \"    #tokenizer = MyGPT2Tokenizer('gpt2-xl', add_bos=True)\\n\",\n        \"\\n\",\n        \"    return model, tokenizer\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def decode_one(generated_ids, tokenizer):\\n\",\n        \"    '''\\n\",\n        \"    Helper function for decoding generated tokens.\\n\",\n        \"    '''\\n\",\n        \"    # get the index of <EOS>\\n\",\n        \"    if tokenizer.eos_token_id == tokenizer.bos_token_id:\\n\",\n        \"        if tokenizer.eos_token_id in generated_ids[1:].tolist():\\n\",\n        \"            eos_id = generated_ids[1:].tolist().index(tokenizer.eos_token_id) + 1\\n\",\n        \"        else:\\n\",\n        \"            eos_id = len(generated_ids.tolist()) - 1\\n\",\n        \"    elif tokenizer.eos_token_id in generated_ids.tolist():\\n\",\n        \"        eos_id = generated_ids.tolist().index(tokenizer.eos_token_id)\\n\",\n        \"    else:\\n\",\n        \"        eos_id = len(generated_ids.tolist()) - 1\\n\",\n        \"    generated_text_str = tokenizer.tokenizer.decode(generated_ids[1:eos_id].tolist())\\n\",\n        \"    return generated_text_str\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def run_model_on_snippets(\\n\",\n        \"    frames, model, tokenizer, device=\\\"cpu\\\", narration_max_sentences=5\\n\",\n        \"):\\n\",\n        \"    '''\\n\",\n        \"    Function for running the LaViLa model on batches of snippets.\\n\",\n        \"    '''\\n\",\n        \"    with torch.no_grad():\\n\",\n        \"        image_features = model.encode_image(frames)\\n\",\n        \"        generated_text_ids, ppls = model.generate(\\n\",\n        \"            image_features,\\n\",\n        \"            tokenizer,\\n\",\n        \"            target=None,  # free-form generation\\n\",\n        \"            max_text_length=77,\\n\",\n        \"            top_k=None,\\n\",\n        \"            top_p=0.95,   # nucleus sampling\\n\",\n        \"            num_return_sequences=narration_max_sentences,  # number of candidates: 10\\n\",\n        \"            temperature=0.7,\\n\",\n        \"            early_stopping=True,\\n\",\n        \"        )\\n\",\n        \"    output_narration = []\\n\",\n        \"    for j in range(generated_text_ids.shape[0] // narration_max_sentences):\\n\",\n        \"        cur_output_narration = []\\n\",\n        \"        for k in range(narration_max_sentences):\\n\",\n        \"            jj = j * narration_max_sentences + k\\n\",\n        \"            generated_text_str = decode_one(generated_text_ids[jj], tokenizer)\\n\",\n        \"            generated_text_str = generated_text_str.strip()\\n\",\n        \"            generated_text_str = generated_text_str.replace(\\\"#c c\\\", \\\"#C C\\\")\\n\",\n        \"            if generated_text_str in cur_output_narration:\\n\",\n        \"                continue\\n\",\n        \"            if generated_text_str.endswith('the'):\\n\",\n        \"                # skip incomplete sentences\\n\",\n        \"                continue\\n\",\n        \"            cur_output_narration.append(generated_text_str)\\n\",\n        \"        output_narration.append(cur_output_narration) # list of size B (batch size)\\n\",\n        \"    return output_narration\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"mJ7qlnBevC06\",\n      \"metadata\": {\n        \"id\": \"mJ7qlnBevC06\"\n      },\n      \"source\": [\n        \"## Step 8. Run LaViLa inference over vrs file\\n\",\n        \"Let's load the pre-traiend model and tokenizer\\n\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"d7C99NViqb_a\",\n      \"metadata\": {\n        \"id\": \"d7C99NViqb_a\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"# load the pre-traiend model and tokenizer.\\n\",\n        \"model, tokenizer = load_models_and_transforms(num_frames=4)\\n\",\n        \"\\n\",\n        \"# this is where the generated narration will be stored\\n\",\n        \"narrations_dict = {\\n\",\n        \"    'start_time_ns': [],\\n\",\n        \"    'end_time_ns': [],\\n\",\n        \"    'narration': [],\\n\",\n        \"}\\n\",\n        \"\\n\",\n        \"# use gpu if available\\n\",\n        \"if torch.cuda.is_available():\\n\",\n        \"  model = model.cuda()\\n\",\n        \"\\n\",\n        \"for idx, (frames, st_ns, ed_ns) in enumerate(snippet_dataloader):\\n\",\n        \"  if torch.cuda.is_available():\\n\",\n        \"    frames = frames.cuda()\\n\",\n        \"  # run inference over a batch of snippet\\n\",\n        \"  output_narration = run_model_on_snippets(frames, model, tokenizer)\\n\",\n        \"  # store results\\n\",\n        \"  narrations_dict['start_time_ns'].extend(st_ns.numpy().tolist())\\n\",\n        \"  narrations_dict['end_time_ns'].extend(ed_ns.numpy().tolist())\\n\",\n        \"  narrations_dict['narration'].extend(output_narration)\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"z3pRVNe5vPIL\",\n      \"metadata\": {\n        \"id\": \"z3pRVNe5vPIL\"\n      },\n      \"source\": [\n        \"## Step 9. Display the auto-narration results and save to csv file\\n\",\n        \"Make sure to change `narration_save_path` to your desired location!\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"E6nUZYKurDpO\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 238\n        },\n        \"id\": \"E6nUZYKurDpO\",\n        \"outputId\": \"8164a676-94d8-4c90-8d34-2b9674d60947\"\n      },\n      \"outputs\": [\n        {\n          \"data\": {\n            \"text/html\": [\n              \"\\n\",\n              \"  <div id=\\\"df-709b9be8-de5d-4fa3-b612-f5fb6a346ef4\\\" class=\\\"colab-df-container\\\">\\n\",\n              \"    <div>\\n\",\n              \"<style scoped>\\n\",\n              \"    .dataframe tbody tr th:only-of-type {\\n\",\n              \"        vertical-align: middle;\\n\",\n              \"    }\\n\",\n              \"\\n\",\n              \"  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32px;\\n\",\n              \"    padding: 0;\\n\",\n              \"    width: 32px;\\n\",\n              \"  }\\n\",\n              \"\\n\",\n              \"  .colab-df-quickchart:hover {\\n\",\n              \"    background-color: var(--hover-bg-color);\\n\",\n              \"    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\\n\",\n              \"    fill: var(--button-hover-fill-color);\\n\",\n              \"  }\\n\",\n              \"\\n\",\n              \"  .colab-df-quickchart-complete:disabled,\\n\",\n              \"  .colab-df-quickchart-complete:disabled:hover {\\n\",\n              \"    background-color: var(--disabled-bg-color);\\n\",\n              \"    fill: var(--disabled-fill-color);\\n\",\n              \"    box-shadow: none;\\n\",\n              \"  }\\n\",\n              \"\\n\",\n              \"  .colab-df-spinner {\\n\",\n              \"    border: 2px solid var(--fill-color);\\n\",\n              \"    border-color: 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'block' : 'none';\\n\",\n              \"    })();\\n\",\n              \"  </script>\\n\",\n              \"</div>\\n\",\n              \"    </div>\\n\",\n              \"  </div>\\n\"\n            ],\n            \"text/plain\": [\n              \"   start_time_ns   end_time_ns  \\\\\\n\",\n              \"0   148502526450  150502526450   \\n\",\n              \"1   150502526450  152502526450   \\n\",\n              \"2   152502526450  154502526450   \\n\",\n              \"3   154502526450  156502526450   \\n\",\n              \"4   156502526450  158502526450   \\n\",\n              \"5   158502526450  160502526450   \\n\",\n              \"\\n\",\n              \"                                           narration  \\n\",\n              \"0  [#C C stares at the ceiling, #C C looks around...  \\n\",\n              \"1  [#C C looks around the house, #C C looks aroun...  \\n\",\n              \"2       [#C C adjusts the camera, #C C looks around]  \\n\",\n              \"3                                [#C C looks around]  \\n\",\n              \"4   [#C C stands beside the door, #C C looks around]  \\n\",\n              \"5  [#C C looks at the wall, #C C looks around, #C...  \"\n            ]\n          },\n          \"metadata\": {},\n          \"output_type\": \"display_data\"\n        }\n      ],\n      \"source\": [\n        \"narration_save_path = os.path.join(os.path.dirname(vrsfile), 'auto_narration.csv')\\n\",\n        \"\\n\",\n        \"import pandas as pd\\n\",\n        \"df = pd.DataFrame(narrations_dict)\\n\",\n        \"df.to_csv(narration_save_path)\\n\",\n        \"display(df)\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"BjF3Ms0l3igG\",\n      \"metadata\": {\n        \"id\": \"BjF3Ms0l3igG\"\n      },\n      \"source\": [\n        \"# Optional Steps for Speech2Text\\n\",\n        \"Proceed Step 10-14, if you have speech in your recording and would like to use it.\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"upn5Is4AhRpm\",\n      \"metadata\": {\n        \"id\": \"upn5Is4AhRpm\"\n      },\n      \"source\": [\n        \"## Step 10. Build VRS Tool to extract .wav file for audio captioning\\n\",\n        \"Whisper X can be run on .wav file. We need to install VRSTool for extracting .wav file from .vrs file.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"N5gLce1Py09s\",\n      \"metadata\": {\n        \"id\": \"N5gLce1Py09s\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"!sudo apt-get update\\n\",\n        \"# Install VRS dependencies\\n\",\n        \"!sudo apt-get install cmake git ninja-build ccache libgtest-dev libfmt-dev libturbojpeg-dev libpng-dev\\n\",\n        \"!sudo apt-get install liblz4-dev libzstd-dev libxxhash-dev\\n\",\n        \"!sudo apt-get install libboost-system-dev libboost-filesystem-dev libboost-thread-dev libboost-chrono-dev libboost-date-time-dev\\n\",\n        \"# Install build dependencies\\n\",\n        \"!sudo apt-get install -y cmake ninja-build\\n\",\n        \"\\n\",\n        \"#clone and build\\n\",\n        \"!git clone https://github.com/facebookresearch/vrs.git\\n\",\n        \"!cmake -S vrs -B vrs/build -G Ninja\\n\",\n        \"!cd vrs/build; ninja vrs\\n\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"jXN0HNZ5iGOy\",\n      \"metadata\": {\n        \"id\": \"jXN0HNZ5iGOy\"\n      },\n      \"source\": [\n        \"## Step 11. Extract .wav file from VRS file\\n\",\n        \"Now that VRSTool is installed, let's extract .wav file from .vrs file.\\n\",\n        \"\\n\",\n        \"Here, the extracted .wav file is saved to the current working directory.\\n\",\n        \"\\n\",\n        \"If you anticipate this file to be re-used, change the output path using the argument `--to <google_drive_path>`\\n\",\n        \"\\n\",\n        \"*(Ignore error '[AudioExtractor][ERROR]: os::makeDirectories(folderPath_) failed: 22, Invalid argument')*\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"lSSdMm3Tz31_\",\n      \"metadata\": {\n        \"id\": \"lSSdMm3Tz31_\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"!./vrs/build/tools/vrs/vrs extract-audio \\\"{vrsfile}\\\" --to .\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"Wleqb4JLkNNE\",\n      \"metadata\": {\n        \"id\": \"Wleqb4JLkNNE\"\n      },\n      \"source\": [\n        \"## Step 12. Install Whisper X\\n\",\n        \"We have input data ready for Whisper X. Let's install the library.\\n\",\n        \"\\n\",\n        \"Whisper X is an automatic speech recognition method that provides word-level timestamps and speaker diarization.\\n\",\n        \"- Paper: https://arxiv.org/abs/2303.00747\\n\",\n        \"- Code: https://github.com/m-bain/whisperX\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"0Su4GYTFkPKU\",\n      \"metadata\": {\n        \"id\": \"0Su4GYTFkPKU\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"!pip install git+https://github.com/m-bain/whisperx.git\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"1a2IoR3CiMxl\",\n      \"metadata\": {\n        \"id\": \"1a2IoR3CiMxl\"\n      },\n      \"source\": [\n        \"## Step 13. Define helper functions for Whisper X\\n\",\n        \"Let's define some helper functions for Whisper X, this include a postprocessing function and a function to align the output to the timestamps.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"_wavV43tiSwM\",\n      \"metadata\": {\n        \"id\": \"_wavV43tiSwM\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"import logging\\n\",\n        \"import os.path as osp\\n\",\n        \"import numpy as np\\n\",\n        \"import glob\\n\",\n        \"import os\\n\",\n        \"import pandas as pd\\n\",\n        \"import whisperx\\n\",\n        \"import tqdm\\n\",\n        \"\\n\",\n        \"logger = logging.getLogger(__name__)\\n\",\n        \"logging.basicConfig(level=logging.INFO)\\n\",\n        \"\\n\",\n        \"device = \\\"cuda\\\"\\n\",\n        \"\\n\",\n        \"def asr_tokens_to_csv(\\n\",\n        \"    word_segments,\\n\",\n        \"    token_csv_folder: str,\\n\",\n        \"    starting_timestamp_s: float = 0.0,\\n\",\n        \"):\\n\",\n        \"    # post process the output asr file to extract only the minimal needed content\\n\",\n        \"\\n\",\n        \"    df = pd.DataFrame.from_dict(word_segments)\\n\",\n        \"    os.makedirs(token_csv_folder, exist_ok=True)\\n\",\n        \"\\n\",\n        \"    # write to wav domain:\\n\",\n        \"    s_to_ms = int(1e3)\\n\",\n        \"    df = df.fillna(-1)\\n\",\n        \"    df[\\\"start\\\"] = (df[\\\"start\\\"] * s_to_ms).astype(\\\"int64\\\")\\n\",\n        \"    df[\\\"end\\\"] = (df[\\\"end\\\"] * s_to_ms).astype(\\\"int64\\\")\\n\",\n        \"    df_speech_wav = df.rename(\\n\",\n        \"        columns={\\\"start\\\": \\\"startTime_ms\\\", \\\"end\\\": \\\"endTime_ms\\\", \\\"text\\\": \\\"written\\\"},\\n\",\n        \"    )\\n\",\n        \"    df_speech_wav.to_csv(\\n\",\n        \"        osp.join(token_csv_folder, \\\"speech.csv\\\"), index=False, header=True\\n\",\n        \"    )\\n\",\n        \"\\n\",\n        \"    # Update ASR ms time to Aria ns time\\n\",\n        \"    s_to_ns = int(1e9)\\n\",\n        \"    ms_to_ns = int(1e6)\\n\",\n        \"    df[\\\"start\\\"] = (df[\\\"start\\\"] * ms_to_ns + starting_timestamp_s * s_to_ns).astype(\\n\",\n        \"        \\\"int64\\\"\\n\",\n        \"    )\\n\",\n        \"    df[\\\"end\\\"] = (df[\\\"end\\\"] * ms_to_ns + starting_timestamp_s * s_to_ns).astype(\\\"int64\\\")\\n\",\n        \"\\n\",\n        \"    df_aria_domain = df.rename(\\n\",\n        \"        columns={\\\"start\\\": \\\"startTime_ms\\\", \\\"end\\\": \\\"endTime_ms\\\", \\\"text\\\": \\\"written\\\"},\\n\",\n        \"    )\\n\",\n        \"    df_aria_domain.to_csv(\\n\",\n        \"        osp.join(token_csv_folder, \\\"speech_aria_domain.csv\\\"), index=False, header=True\\n\",\n        \"    )\\n\",\n        \"\\n\",\n        \"    logging.info(f\\\"Generate speech.csv & speech_aria_domain.csv to {token_csv_folder}\\\")\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def run_whisperx_aria_wav(\\n\",\n        \"    model,\\n\",\n        \"    file_path: str,\\n\",\n        \"    output_folder: str = \\\"\\\",\\n\",\n        \"    batch_size = None,\\n\",\n        \"):\\n\",\n        \"    \\\"\\\"\\\"\\n\",\n        \"    Run whisperx model on .wav file extracted from VRS file\\n\",\n        \"    \\\"\\\"\\\"\\n\",\n        \"    starting_timestamp = file_path.split(\\\"-\\\")[-1].replace(\\\".wav\\\", \\\"\\\")\\n\",\n        \"    starting_timestamp = float(starting_timestamp)\\n\",\n        \"    logging.info(\\\"Aria Starting timestamp: {:0.3f}\\\".format(starting_timestamp))\\n\",\n        \"\\n\",\n        \"    logging.info(f\\\"Transcribe the speech from wav file {file_path}.\\\")\\n\",\n        \"    result = model.transcribe(file_path, batch_size=batch_size)\\n\",\n        \"    print(f\\\"Transcription done.\\\")\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"    model_a, metadata = whisperx.load_align_model(language_code=result[\\\"language\\\"], device=device)\\n\",\n        \"    logging.info(f\\\"Transcription done.\\\")\\n\",\n        \"    result_aligned = whisperx.align(\\n\",\n        \"        result[\\\"segments\\\"], model_a, metadata, file_path, device\\n\",\n        \"    )\\n\",\n        \"    print(f\\\"Alignment done.\\\")\\n\",\n        \"\\n\",\n        \"    try:\\n\",\n        \"        asr_tokens_to_csv(\\n\",\n        \"            word_segments=result_aligned[\\\"word_segments\\\"],\\n\",\n        \"            token_csv_folder=output_folder,\\n\",\n        \"            starting_timestamp_s=starting_timestamp,\\n\",\n        \"        )\\n\",\n        \"    except Exception as err:\\n\",\n        \"        logging.warning(f\\\"Cannot process {file_path} because {err}. Skip this recording.\\\")\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"C3q0o21rRIbm\",\n      \"metadata\": {\n        \"id\": \"C3q0o21rRIbm\"\n      },\n      \"source\": [\n        \"\\n\",\n        \"## Step 14. Run Whisper X\\n\",\n        \"Finally, let's run Whisper X on the .wav file that we extracted.\\n\",\n        \"\\n\",\n        \"Make sure to\\n\",\n        \"- Change the `audio_file` to the .wav file that we extracted in Step 12.\\n\",\n        \"- Set the `whisper_x_output_folder` to desired location. The resulting file name is `speech_aria_domain.csv`.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"ZODeWa-ilKMJ\",\n      \"metadata\": {\n        \"id\": \"ZODeWa-ilKMJ\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"audio_file = '231-1-0000-743.444.wav'\\n\",\n        \"whisper_x_output_folder = \\\".\\\"\\n\",\n        \"compute_type = \\\"float16\\\" # change to \\\"int8\\\" if low on GPU mem (may reduce accuracy)\\n\",\n        \"model = whisperx.load_model(\\\"large-v2\\\", device, compute_type=compute_type,) #  language='en'\\n\",\n        \"batch_size = 16 # reduce if low on GPU mem, or keep it None\\n\",\n        \"provider = run_whisperx_aria_wav(model, audio_file, output_folder=whisper_x_output_folder, batch_size=batch_size)\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"670FaxtH1OGS\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 424\n        },\n        \"id\": \"670FaxtH1OGS\",\n        \"outputId\": \"dbc76cb8-2b62-4c96-e3da-2c3d42c63731\"\n      },\n      \"outputs\": [\n        {\n          \"data\": {\n            \"text/html\": [\n              \"\\n\",\n              \"  <div id=\\\"df-36794bf5-9be7-4403-a6a7-b3f62cfc8ad2\\\" class=\\\"colab-df-container\\\">\\n\",\n              \"    <div>\\n\",\n              \"<style scoped>\\n\",\n              \"    .dataframe tbody tr th:only-of-type {\\n\",\n              \"        vertical-align: middle;\\n\",\n              \"    }\\n\",\n              \"\\n\",\n              \"    .dataframe tbody tr th {\\n\",\n              \"        vertical-align: top;\\n\",\n              \"    }\\n\",\n              \"\\n\",\n              \"    .dataframe thead th {\\n\",\n              \"        text-align: right;\\n\",\n              \"    }\\n\",\n              \"</style>\\n\",\n              \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n              \"  <thead>\\n\",\n              \"    <tr style=\\\"text-align: right;\\\">\\n\",\n              \"      <th></th>\\n\",\n              \"      <th>word</th>\\n\",\n              \"      <th>startTime_ms</th>\\n\",\n              \"      <th>endTime_ms</th>\\n\",\n              \"      <th>score</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>Awesome.</td>\\n\",\n              \"      <td>744915000000</td>\\n\",\n              \"      <td>745275000000</td>\\n\",\n              \"      <td>0.535</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1</th>\\n\",\n              \"      <td>Would</td>\\n\",\n              \"      <td>745836000000</td>\\n\",\n              \"      <td>745936000000</td>\\n\",\n              \"      <td>0.451</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>2</th>\\n\",\n              \"      <td>you</td>\\n\",\n              \"      <td>745956000000</td>\\n\",\n              \"      <td>746016000000</td>\\n\",\n              \"      <td>0.958</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>3</th>\\n\",\n              \"      <td>like</td>\\n\",\n              \"      <td>746056000000</td>\\n\",\n              \"      <td>746156000000</td>\\n\",\n              \"      <td>0.932</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>4</th>\\n\",\n              \"      <td>some</td>\\n\",\n              \"      <td>746176000000</td>\\n\",\n              \"      <td>746296000000</td>\\n\",\n              \"      <td>0.759</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>...</th>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>222</th>\\n\",\n              \"      <td>Thank</td>\\n\",\n              \"      <td>927758000000</td>\\n\",\n              \"      <td>927978000000</td>\\n\",\n              \"      <td>0.609</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>223</th>\\n\",\n              \"      <td>you.</td>\\n\",\n              \"      <td>927998000000</td>\\n\",\n              \"      <td>928159000000</td>\\n\",\n              \"      <td>0.912</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>224</th>\\n\",\n              \"      <td>Big</td>\\n\",\n              \"      <td>934170000000</td>\\n\",\n              \"      <td>934330000000</td>\\n\",\n              \"      <td>0.652</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>225</th>\\n\",\n              \"      <td>long</td>\\n\",\n              \"      <td>934370000000</td>\\n\",\n              \"      <td>934671000000</td>\\n\",\n              \"      <td>0.950</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>226</th>\\n\",\n              \"      <td>sip.</td>\\n\",\n              \"      <td>934691000000</td>\\n\",\n              \"      <td>934931000000</td>\\n\",\n              \"      <td>0.780</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"<p>227 rows × 4 columns</p>\\n\",\n              \"</div>\\n\",\n              \"    <div class=\\\"colab-df-buttons\\\">\\n\",\n              \"\\n\",\n              \"  <div 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             \"    }\\n\",\n              \"\\n\",\n              \"    .colab-df-convert {\\n\",\n              \"      background-color: #E8F0FE;\\n\",\n              \"      border: none;\\n\",\n              \"      border-radius: 50%;\\n\",\n              \"      cursor: pointer;\\n\",\n              \"      display: none;\\n\",\n              \"      fill: #1967D2;\\n\",\n              \"      height: 32px;\\n\",\n              \"      padding: 0 0 0 0;\\n\",\n              \"      width: 32px;\\n\",\n              \"    }\\n\",\n              \"\\n\",\n              \"    .colab-df-convert:hover {\\n\",\n              \"      background-color: #E2EBFA;\\n\",\n              \"      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\\n\",\n              \"      fill: #174EA6;\\n\",\n              \"    }\\n\",\n              \"\\n\",\n              \"    .colab-df-buttons div {\\n\",\n              \"      margin-bottom: 4px;\\n\",\n              \"    }\\n\",\n              \"\\n\",\n              \"    [theme=dark] .colab-df-convert {\\n\",\n              \"      background-color: #3B4455;\\n\",\n              \"      fill: #D2E3FC;\\n\",\n              \"    }\\n\",\n              \"\\n\",\n              \"    [theme=dark] .colab-df-convert:hover {\\n\",\n              \"      background-color: #434B5C;\\n\",\n              \"      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\\n\",\n              \"      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\\n\",\n              \"      fill: #FFFFFF;\\n\",\n              \"    }\\n\",\n              \"  </style>\\n\",\n              \"\\n\",\n              \"    <script>\\n\",\n              \"      const buttonEl =\\n\",\n              \"        document.querySelector('#df-36794bf5-9be7-4403-a6a7-b3f62cfc8ad2 button.colab-df-convert');\\n\",\n              \"      buttonEl.style.display =\\n\",\n              \"        google.colab.kernel.accessAllowed ? 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32px;\\n\",\n              \"    padding: 0;\\n\",\n              \"    width: 32px;\\n\",\n              \"  }\\n\",\n              \"\\n\",\n              \"  .colab-df-quickchart:hover {\\n\",\n              \"    background-color: var(--hover-bg-color);\\n\",\n              \"    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\\n\",\n              \"    fill: var(--button-hover-fill-color);\\n\",\n              \"  }\\n\",\n              \"\\n\",\n              \"  .colab-df-quickchart-complete:disabled,\\n\",\n              \"  .colab-df-quickchart-complete:disabled:hover {\\n\",\n              \"    background-color: var(--disabled-bg-color);\\n\",\n              \"    fill: var(--disabled-fill-color);\\n\",\n              \"    box-shadow: none;\\n\",\n              \"  }\\n\",\n              \"\\n\",\n              \"  .colab-df-spinner {\\n\",\n              \"    border: 2px solid var(--fill-color);\\n\",\n              \"    border-color: transparent;\\n\",\n              \"    border-bottom-color: var(--fill-color);\\n\",\n              \"    animation:\\n\",\n              \"      spin 1s steps(1) infinite;\\n\",\n              \"  }\\n\",\n              \"\\n\",\n              \"  @keyframes spin {\\n\",\n              \"    0% {\\n\",\n              \"      border-color: transparent;\\n\",\n              \"      border-bottom-color: var(--fill-color);\\n\",\n              \"      border-left-color: var(--fill-color);\\n\",\n              \"    }\\n\",\n              \"    20% {\\n\",\n              \"      border-color: transparent;\\n\",\n              \"      border-left-color: var(--fill-color);\\n\",\n              \"      border-top-color: var(--fill-color);\\n\",\n              \"    }\\n\",\n              \"    30% {\\n\",\n              \"      border-color: transparent;\\n\",\n              \"      border-left-color: var(--fill-color);\\n\",\n              \"      border-top-color: var(--fill-color);\\n\",\n              \"      border-right-color: var(--fill-color);\\n\",\n              \"    }\\n\",\n              \"    40% {\\n\",\n              \"      border-color: transparent;\\n\",\n              \"      border-right-color: var(--fill-color);\\n\",\n              \"      border-top-color: var(--fill-color);\\n\",\n              \"    }\\n\",\n              \"    60% {\\n\",\n              \"      border-color: transparent;\\n\",\n              \"      border-right-color: var(--fill-color);\\n\",\n              \"    }\\n\",\n              \"    80% {\\n\",\n              \"      border-color: transparent;\\n\",\n              \"      border-right-color: var(--fill-color);\\n\",\n              \"      border-bottom-color: var(--fill-color);\\n\",\n              \"    }\\n\",\n              \"    90% {\\n\",\n              \"      border-color: transparent;\\n\",\n              \"      border-bottom-color: var(--fill-color);\\n\",\n              \"    }\\n\",\n              \"  }\\n\",\n              \"</style>\\n\",\n              \"\\n\",\n              \"  <script>\\n\",\n              \"    async function quickchart(key) {\\n\",\n              \"      const quickchartButtonEl =\\n\",\n              \"        document.querySelector('#' + key + ' button');\\n\",\n              \"      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\\n\",\n              \"      quickchartButtonEl.classList.add('colab-df-spinner');\\n\",\n              \"      try {\\n\",\n              \"        const charts = await google.colab.kernel.invokeFunction(\\n\",\n              \"            'suggestCharts', [key], {});\\n\",\n              \"      } catch (error) {\\n\",\n              \"        console.error('Error during call to suggestCharts:', error);\\n\",\n              \"      }\\n\",\n              \"      quickchartButtonEl.classList.remove('colab-df-spinner');\\n\",\n              \"      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\\n\",\n              \"    }\\n\",\n              \"    (() => {\\n\",\n              \"      let quickchartButtonEl =\\n\",\n              \"        document.querySelector('#df-36a0f26e-0d64-4f0a-860c-987ea512536c button');\\n\",\n              \"      quickchartButtonEl.style.display =\\n\",\n              \"        google.colab.kernel.accessAllowed ? 'block' : 'none';\\n\",\n              \"    })();\\n\",\n              \"  </script>\\n\",\n              \"</div>\\n\",\n              \"    </div>\\n\",\n              \"  </div>\\n\"\n            ],\n            \"text/plain\": [\n              \"         word  startTime_ms    endTime_ms  score\\n\",\n              \"0    Awesome.  744915000000  745275000000  0.535\\n\",\n              \"1       Would  745836000000  745936000000  0.451\\n\",\n              \"2         you  745956000000  746016000000  0.958\\n\",\n              \"3        like  746056000000  746156000000  0.932\\n\",\n              \"4        some  746176000000  746296000000  0.759\\n\",\n              \"..        ...           ...           ...    ...\\n\",\n              \"222     Thank  927758000000  927978000000  0.609\\n\",\n              \"223      you.  927998000000  928159000000  0.912\\n\",\n              \"224       Big  934170000000  934330000000  0.652\\n\",\n              \"225      long  934370000000  934671000000  0.950\\n\",\n              \"226      sip.  934691000000  934931000000  0.780\\n\",\n              \"\\n\",\n              \"[227 rows x 4 columns]\"\n            ]\n          },\n          \"metadata\": {},\n          \"output_type\": \"display_data\"\n        }\n      ],\n      \"source\": [\n        \"asr_df = pd.read_csv(\\\"speech_aria_domain.csv\\\")\\n\",\n        \"display(asr_df)\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"ihTkYWNb4BAG\",\n      \"metadata\": {\n        \"id\": \"ihTkYWNb4BAG\"\n      },\n      \"source\": [\n        \"# Optional steps for summarization example\\n\",\n        \"Proceed Step 15-17, if you would like to try out summarization of the narration using llm (via langchain).\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"SBANXKSPR1eP\",\n      \"metadata\": {\n        \"id\": \"SBANXKSPR1eP\"\n      },\n      \"source\": [\n        \"## Step 15. Install Langchain\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"t25suH5HR5jb\",\n      \"metadata\": {\n        \"id\": \"t25suH5HR5jb\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"!pip install langchain\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"temVxjVVWBw3\",\n      \"metadata\": {\n        \"id\": \"temVxjVVWBw3\"\n      },\n      \"source\": [\n        \"## Step 16. Install OpenAI to use with Langchain\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"r6QEuPO0WFgC\",\n      \"metadata\": {\n        \"id\": \"r6QEuPO0WFgC\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"import locale\\n\",\n        \"locale.getpreferredencoding = lambda: \\\"UTF-8\\\"\\n\",\n        \"!pip install openai\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"Nb6m7nHzSBy9\",\n      \"metadata\": {\n        \"id\": \"Nb6m7nHzSBy9\"\n      },\n      \"source\": [\n        \"## Step 17. Summaraize the narration result\\n\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"igRz39kKSBES\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 87\n        },\n        \"id\": \"igRz39kKSBES\",\n        \"outputId\": \"c4f09b38-7d0e-42a1-c451-a50c88f250c7\"\n      },\n      \"outputs\": [\n        {\n          \"data\": {\n            \"application/vnd.google.colaboratory.intrinsic+json\": {\n              \"type\": \"string\"\n            },\n            \"text/plain\": [\n              \"'The summary describes a series of events with timestamps and corresponding narrations. The events involve a character named C C who is observed looking around, adjusting the camera, staring at the ceiling, standing beside the door, and looking at various objects in the room and house.'\"\n            ]\n          },\n          \"execution_count\": 56,\n          \"metadata\": {},\n          \"output_type\": \"execute_result\"\n        }\n      ],\n      \"source\": [\n        \"from langchain.chat_models import ChatOpenAI\\n\",\n        \"from langchain.chains.summarize import load_summarize_chain\\n\",\n        \"from langchain.docstore.document import Document\\n\",\n        \"from langchain.document_loaders.csv_loader import CSVLoader\\n\",\n        \"from langchain import PromptTemplate\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"prompt_template = \\\"\\\"\\\" Write a concise summary (between 5 to 10 sentences) of the following text.\\n\",\n        \"The text is about my exhaustive timeline, where I am referred to as '#C C' or 'C C' or 'C'.\\n\",\n        \"Please use first person pronoun (I) in the summary, instead of 'C' or 'C C'.\\n\",\n        \"Please keep in mind that some observations maybe incorrect as the timeline was machine-generated.\\n\",\n        \"\\n\",\n        \"Timeline:\\n\",\n        \"\\n\",\n        \"{text}\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"TL'DR: \\\"\\\"\\\"\\n\",\n        \"\\n\",\n        \"#os.environ[\\\"OPENAI_API_KEY\\\"] = \\\"sk-your-key\\\"\\n\",\n        \"PROMPT = PromptTemplate(template=prompt_template, input_variables=[\\\"text\\\"])\\n\",\n        \"llm = ChatOpenAI(temperature=0, model_name=\\\"gpt-3.5-turbo\\\")\\n\",\n        \"chain = load_summarize_chain(llm, chain_type=\\\"stuff\\\", prompt=PROMPT)\\n\",\n        \"\\n\",\n        \"loader = CSVLoader(file_path=narration_save_path)\\n\",\n        \"docs = loader.load()\\n\",\n        \"\\n\",\n        \"chain.run(docs)\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"oV6Tn_WACKMF\",\n      \"metadata\": {\n        \"id\": \"oV6Tn_WACKMF\"\n      },\n      \"source\": [\n        \"## (Optional) RGBDataset\\n\",\n        \"\\n\",\n        \"The RGBDataset is a simple image pytorch dataset designed for image-based models that operate on individual frames rather than snippet inputs. Use this dataset that process single frames.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"kvAqkUzdCLPt\",\n      \"metadata\": {\n        \"id\": \"kvAqkUzdCLPt\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"# import torch\\n\",\n        \"# from torch.utils.data import Dataset, DataLoader\\n\",\n        \"# from PIL import Image\\n\",\n        \"# import torchvision.transforms as transforms\\n\",\n        \"\\n\",\n        \"# class RGBDataset(Dataset):\\n\",\n        \"#     def __init__(self, start_time, end_time, sample_count, transform=None):\\n\",\n        \"#         self.timestamps = np.linspace(start_time, end_time, sample_count)\\n\",\n        \"#         self.rgb_stream_id = StreamId(\\\"214-1\\\")\\n\",\n        \"#         self.time_domain = TimeDomain.DEVICE_TIME\\n\",\n        \"#         self.option = TimeQueryOptions.CLOSEST\\n\",\n        \"#         self.transform = transform\\n\",\n        \"\\n\",\n        \"#     def __len__(self):\\n\",\n        \"#         return len(self.timestamps)\\n\",\n        \"\\n\",\n        \"#     def __getitem__(self, idx):\\n\",\n        \"#         timestamp = self.timestamps[idx]\\n\",\n        \"#         image_tuple = provider.get_image_data_by_time_ns(self.rgb_stream_id, int(timestamp), self.time_domain, self.option)\\n\",\n        \"#         image_array = image_tuple[0].to_numpy_array()\\n\",\n        \"#         image = Image.fromarray(image_array).rotate(-90)\\n\",\n        \"#         if self.transform:\\n\",\n        \"#           image = self.transform(image)\\n\",\n        \"#         return timestamp, image\\n\",\n        \"\\n\",\n        \"# val_transform = transforms.Compose([\\n\",\n        \"#     transforms.Resize(224),\\n\",\n        \"#     transforms.ToTensor(),\\n\",\n        \"#   ])\\n\",\n        \"\\n\",\n        \"# rgb_dataset = RGBDataset(start_time, end_time, sample_count, transform=val_transform)\\n\",\n        \"# image_dataloader = DataLoader(rgb_dataset, batch_size=2, shuffle=False)\\n\",\n        \"# # Get the next batch of data\\n\",\n        \"# timestamp, image = next(iter(image_dataloader))\"\n      ]\n    }\n  ],\n  \"metadata\": {\n    \"accelerator\": \"GPU\",\n    \"colab\": {\n      \"gpuType\": \"T4\",\n      \"provenance\": []\n    },\n    \"custom\": {\n      \"cells\": [],\n      \"metadata\": {\n        \"fileHeader\": \"\",\n        \"kernelspec\": {\n          \"display_name\": \"Python 3 (ipykernel)\",\n          \"language\": \"python\",\n          \"name\": \"python3\"\n        },\n        \"language_info\": {\n          \"codemirror_mode\": {\n            \"name\": \"ipython\",\n            \"version\": 3\n          },\n          \"file_extension\": \".py\",\n          \"mimetype\": \"text/x-python\",\n          \"name\": \"python\",\n          \"nbconvert_exporter\": \"python\",\n          \"pygments_lexer\": \"ipython3\",\n          \"version\": \"3.10.11\"\n        }\n      },\n      \"nbformat\": 4,\n      \"nbformat_minor\": 5\n    },\n    \"indentAmount\": 2,\n    \"kernelspec\": {\n      \"display_name\": \"Python 3\",\n      \"name\": \"python3\"\n    },\n    \"language_info\": {\n      \"codemirror_mode\": {\n        \"name\": \"ipython\",\n        \"version\": 3\n      },\n      \"file_extension\": \".py\",\n      \"mimetype\": \"text/x-python\",\n      \"name\": \"python\",\n      \"nbconvert_exporter\": \"python\",\n      \"pygments_lexer\": \"ipython3\",\n      \"version\": \"3.11.4\"\n    }\n  },\n  \"nbformat\": 4,\n  \"nbformat_minor\": 5\n}\n"
  },
  {
    "path": "notebooks/ocr_tutorial.ipynb",
    "content": "{\n  \"cells\": [\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"fb140897\",\n      \"metadata\": {\n        \"id\": \"fb140897\"\n      },\n      \"source\": [\n        \"# OCR Tutorial\\n\",\n        \"\\n\",\n        \"In this tutorial, you will learn how to use OCR (EasyOCR) to detect text from Aria frames.\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"### Notebook stuck?\\n\",\n        \"Note that because of Jupyter issues, sometimes the code may stuck at visualization. We recommend **restart the kernels** and try again to see if the issue is resolved.\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"source\": [\n        \"## Step 1. Install Project Aria Tools\\n\",\n        \"Run the following cell to install Project Aria Tools for reading Aria recordings in .vrs format\"\n      ],\n      \"metadata\": {\n        \"id\": \"l5LlycOs75bf\"\n      },\n      \"id\": \"l5LlycOs75bf\"\n    },\n    {\n      \"cell_type\": \"code\",\n      \"source\": [\n        \"# Specifics for Google Colab\\n\",\n        \"google_colab_env = 'google.colab' in str(get_ipython())\\n\",\n        \"print(\\\"Running from Google Colab, installing projectaria_tools\\\")\\n\",\n        \"!pip install projectaria-tools\"\n      ],\n      \"metadata\": {\n        \"id\": \"Yt5CoQlp8Cxw\"\n      },\n      \"id\": \"Yt5CoQlp8Cxw\",\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"source\": [\n        \"## Step 2. Prepare an Aria recording\\n\",\n        \"\\n\",\n        \"We will set the vrsfile path to your collected Aria recording.\\n\",\n        \"\\n\",\n        \"Upload your Aria recording in your Google Drive before running the cell.\\n\",\n        \"\\n\",\n        \"Here, we assume it is uploaded to **`My Drive/Fridge/sample.vrs`**\\n\",\n        \"\\n\",\n        \"*(You can check the content of the mounted drive by running `!ls \\\"/content/drive/My Drive/\\\"` in a cell.)*\\n\",\n        \"\\n\"\n      ],\n      \"metadata\": {\n        \"id\": \"Tv0I3ajm7TyH\"\n      },\n      \"id\": \"Tv0I3ajm7TyH\"\n    },\n    {\n      \"cell_type\": \"code\",\n      \"source\": [\n        \"from google.colab import drive\\n\",\n        \"import os\\n\",\n        \"drive.flush_and_unmount()\\n\",\n        \"drive.mount('/content/drive/')\\n\",\n        \"my_vrs_file_path = 'Fridge/sample.vrs'\\n\",\n        \"vrsfile = \\\"/content/drive/My Drive/\\\" + my_vrs_file_path\\n\",\n        \"print(f\\\"INFO: vrsfile set to {vrsfile}\\\")\"\n      ],\n      \"metadata\": {\n        \"id\": \"vnjjSGXlc4-i\"\n      },\n      \"id\": \"vnjjSGXlc4-i\",\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"8196ad05\",\n      \"metadata\": {\n        \"id\": \"8196ad05\"\n      },\n      \"source\": [\n        \"## Step 3. Create data provider\\n\",\n        \"\\n\",\n        \"Create projectaria data_provider so you can load the content of the vrs file.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"fb04b53b\",\n      \"metadata\": {\n        \"id\": \"fb04b53b\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"from projectaria_tools.core import data_provider, calibration\\n\",\n        \"from projectaria_tools.core.sensor_data import TimeDomain, TimeQueryOptions\\n\",\n        \"from projectaria_tools.core.stream_id import RecordableTypeId, StreamId\\n\",\n        \"import numpy as np\\n\",\n        \"from matplotlib import pyplot as plt\\n\",\n        \"\\n\",\n        \"print(f\\\"Creating data provider from {vrsfile}\\\")\\n\",\n        \"provider = data_provider.create_vrs_data_provider(vrsfile)\\n\",\n        \"if not provider:\\n\",\n        \"    print(\\\"Invalid vrs data provider\\\")\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"id\": \"c5033225\",\n      \"metadata\": {\n        \"id\": \"c5033225\"\n      },\n      \"source\": [\n        \"## Step 4. Display VRS rgb content in thumbnail images\\n\",\n        \"\\n\",\n        \"Goals:\\n\",\n        \"- Summarize a VRS using 20 image side by side, to visually inspect the collected data.\\n\",\n        \"\\n\",\n        \"Key learnings:\\n\",\n        \"- Image streams are identified with a Unique Identifier: stream_id\\n\",\n        \"- Image frames are identified with timestamps\\n\",\n        \"- PIL images can be created from Numpy array\\n\",\n        \"\\n\",\n        \"Customization\\n\",\n        \"- To change the number of sampled images, change the variable `sample_count` to a desired number.\\n\",\n        \"- To change the thumbnail size, change the variable `resize_ratio` to a desired value.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"id\": \"933725b6\",\n      \"metadata\": {\n        \"id\": \"933725b6\"\n      },\n      \"outputs\": [],\n      \"source\": [\n        \"from PIL import Image\\n\",\n        \"from tqdm import tqdm\\n\",\n        \"\\n\",\n        \"sample_count = 30\\n\",\n        \"resize_ratio = 10\\n\",\n        \"\\n\",\n        \"rgb_stream_id = StreamId(\\\"214-1\\\")\\n\",\n        \"\\n\",\n        \"# Retrieve image size for the RGB stream\\n\",\n        \"time_domain = TimeDomain.DEVICE_TIME  # query data based on host time\\n\",\n        \"option = TimeQueryOptions.CLOSEST # get data whose time [in TimeDomain] is CLOSEST to query time\\n\",\n        \"\\n\",\n        \"# Retrieve Start and End time for the given Sensor Stream Id\\n\",\n        \"start_time = provider.get_first_time_ns(rgb_stream_id, time_domain)\\n\",\n        \"end_time = provider.get_last_time_ns(rgb_stream_id, time_domain)\\n\",\n        \"\\n\",\n        \"image_config = provider.get_image_configuration(rgb_stream_id)\\n\",\n        \"width = image_config.image_width\\n\",\n        \"height = image_config.image_height\\n\",\n        \"\\n\",\n        \"thumbnail = newImage = Image.new(\\n\",\n        \"    \\\"RGB\\\", (int(width * sample_count / resize_ratio), int(height / resize_ratio))\\n\",\n        \")\\n\",\n        \"current_width = 0\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"# Samples 10 timestamps\\n\",\n        \"sample_timestamps = np.linspace(start_time, end_time, sample_count)\\n\",\n        \"for sample in tqdm(sample_timestamps):\\n\",\n        \"    image_tuple = provider.get_image_data_by_time_ns(rgb_stream_id, int(sample), time_domain, option)\\n\",\n        \"    image_array = image_tuple[0].to_numpy_array()\\n\",\n        \"    image = Image.fromarray(image_array)\\n\",\n        \"    new_size = (\\n\",\n        \"        int(image.size[0] / resize_ratio),\\n\",\n        \"        int(image.size[1] / resize_ratio),\\n\",\n        \"    )\\n\",\n        \"    image = image.resize(new_size).rotate(-90)\\n\",\n        \"    thumbnail.paste(image, (current_width, 0))\\n\",\n        \"    current_width = int(current_width + width / resize_ratio)\\n\",\n        \"\\n\",\n        \"from IPython.display import Image\\n\",\n        \"display(thumbnail)\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"source\": [\n        \"## Step 5. Install EasyOCR\\n\"\n      ],\n      \"metadata\": {\n        \"id\": \"eEPHeoB8kWvR\"\n      },\n      \"id\": \"eEPHeoB8kWvR\"\n    },\n    {\n      \"cell_type\": \"code\",\n      \"source\": [\n        \"# Install detectron2\\n\",\n        \"!pip install easyocr\"\n      ],\n      \"metadata\": {\n        \"id\": \"OAkVc2HvkWO9\"\n      },\n      \"id\": \"OAkVc2HvkWO9\",\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"source\": [\n        \"## Step 6. Run OCR\\n\",\n        \"\\n\",\n        \"Run OCR for each sampled timestamps in Step 4.\\n\",\n        \"\\n\",\n        \"- The detected text will be stored in `ocr_dict`.\\n\",\n        \"\\n\",\n        \"- You can set the image size using the `imsize` variable.\\n\",\n        \"\\n\",\n        \"- You can add list of languages to be parsed as follows:\\n\",\n        \"```\\n\",\n        \"reader = easyocr.Reader(['en', 'fr', 'ch_sim'])\\n\",\n        \"```\\n\",\n        \"For all supported languages in EasyOCR, see https://www.jaided.ai/easyocr/.\\n\",\n        \"\\n\",\n        \"- You can set the `confidence_thres` to only keep the texts that have confidences above the threshold.\\n\",\n        \"\\n\",\n        \"- The output will be in a list format, each item represents a bounding box, the text detected and confident level, respectively.\\n\",\n        \"```\\n\",\n        \"[ ([[226, 170], [414, 170], [414, 220], [226, 220]], 'Yuyuan Rd.', 0.8261902332305908),\\n\",\n        \" ([[79, 173], [125, 173], [125, 213], [79, 213]], 'W', 0.9848111271858215),\\n\",\n        \" ([[529, 173], [569, 173], [569, 213], [529, 213]], 'E', 0.8405593633651733)]\\n\",\n        \" ```\\n\"\n      ],\n      \"metadata\": {\n        \"id\": \"yB51eG_v72kg\"\n      },\n      \"id\": \"yB51eG_v72kg\"\n    },\n    {\n      \"cell_type\": \"code\",\n      \"source\": [\n        \"import easyocr\\n\",\n        \"from PIL import Image\\n\",\n        \"\\n\",\n        \"imsize = 3072\\n\",\n        \"confidence_thres = 0.2\\n\",\n        \"\\n\",\n        \"ocr_dict = {\\n\",\n        \"    'timestamps': [],\\n\",\n        \"    'texts': [],\\n\",\n        \"    'bboxes': [],\\n\",\n        \"}\\n\",\n        \"\\n\",\n        \"reader = easyocr.Reader(['en',])  # Load EasyOCR model. Only need to be called once.\\n\",\n        \"\\n\",\n        \"for sample in tqdm(sample_timestamps):\\n\",\n        \"\\n\",\n        \"    # Fetch image\\n\",\n        \"    image_tuple = provider.get_image_data_by_time_ns(rgb_stream_id, int(sample), time_domain, option)\\n\",\n        \"    image_array = image_tuple[0].to_numpy_array()\\n\",\n        \"    image = Image.fromarray(image_array)\\n\",\n        \"    new_size = (imsize, imsize)\\n\",\n        \"    image = np.asarray(image.resize(new_size).rotate(-90))\\n\",\n        \"    result = reader.readtext(image)\\n\",\n        \"    print(f\\\"result: {result}\\\")\\n\",\n        \"\\n\",\n        \"    if result is not None:\\n\",\n        \"      ocr_dict['timestamps'].append(sample)\\n\",\n        \"      ocr_dict['bboxes'].append([res[0] for res in result if res[2]> confidence_thres])\\n\",\n        \"      ocr_dict['texts'].append([res[1] for res in result if res[2]> confidence_thres])\\n\"\n      ],\n      \"metadata\": {\n        \"id\": \"Y8M3YzzW2HIz\"\n      },\n      \"id\": \"Y8M3YzzW2HIz\",\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"source\": [\n        \"## Step 8. Display and save detected text lists\\n\",\n        \"\\n\",\n        \"### We can get ocr results for each timestamps.\"\n      ],\n      \"metadata\": {\n        \"id\": \"Aplmxisd8Hla\"\n      },\n      \"id\": \"Aplmxisd8Hla\"\n    },\n    {\n      \"cell_type\": \"code\",\n      \"source\": [\n        \"ocr_save_path = '/content/ocr_results.json'\\n\",\n        \"\\n\",\n        \"import pandas as pd\\n\",\n        \"df = pd.DataFrame(ocr_dict)\\n\",\n        \"df.to_json(ocr_save_path)\\n\",\n        \"# Set the maximum width of each column\\n\",\n        \"pd.set_option('display.max_colwidth', None)  # Replace None with a number if needed\\n\",\n        \"display(df[['timestamps', 'texts']])\"\n      ],\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 990\n        },\n        \"id\": \"Eryl0PCE6Axr\",\n        \"outputId\": \"3336af77-4942-4c34-e965-753c4b549728\"\n      },\n      \"id\": \"Eryl0PCE6Axr\",\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"text/plain\": [\n              \"      timestamps  \\\\\\n\",\n              \"0   1.641293e+12   \\n\",\n              \"1   1.642534e+12   \\n\",\n              \"2   1.643776e+12   \\n\",\n              \"3   1.645017e+12   \\n\",\n              \"4   1.646258e+12   \\n\",\n              \"5   1.647500e+12   \\n\",\n              \"6   1.648741e+12   \\n\",\n              \"7   1.649982e+12   \\n\",\n              \"8   1.651224e+12   \\n\",\n              \"9   1.652465e+12   \\n\",\n              \"10  1.653707e+12   \\n\",\n              \"11  1.654948e+12   \\n\",\n              \"12  1.656189e+12   \\n\",\n              \"13  1.657431e+12   \\n\",\n              \"14  1.658672e+12   \\n\",\n              \"15  1.659913e+12   \\n\",\n              \"16  1.661155e+12   \\n\",\n              \"17  1.662396e+12   \\n\",\n              \"18  1.663638e+12   \\n\",\n              \"19  1.664879e+12   \\n\",\n              \"20  1.666120e+12   \\n\",\n              \"21  1.667362e+12   \\n\",\n              \"22  1.668603e+12   \\n\",\n              \"23  1.669845e+12   \\n\",\n              \"24  1.671086e+12   \\n\",\n              \"25  1.672327e+12   \\n\",\n              \"26  1.673569e+12   \\n\",\n              \"27  1.674810e+12   \\n\",\n              \"28  1.676051e+12   \\n\",\n              \"29  1.677293e+12   \\n\",\n              \"\\n\",\n              \"                                                                                                                                                                              texts  \\n\",\n              \"0                                                                                                                                                                                []  \\n\",\n              \"1                                                                                                                                                                                []  \\n\",\n              \"2                                                                                                                                                                                []  \\n\",\n              \"3                                                                                                                                                                                []  \\n\",\n              \"4                                                                                                                                                             [AcTiVESMART, %67, 0]  \\n\",\n              \"5                                                                                                                     [ActiveshaRT, TECHNOLOGY, %7, Stghattng;, CAMPARI', Tomatoes]  \\n\",\n              \"6                                                                                                                                                               [ActineskaRt, 9, 3]  \\n\",\n              \"7                                                                              [Harn, Guan, Baby Bella Mushrooms, bebe bella cham, ACTIvESMART, Technology, ladelphia, Reproductte]  \\n\",\n              \"8                                                                                                         [WA, Han, and, Cancer, %7, ActiveshaRT, TECHNOLOGT, RNING:, Reproducute ]  \\n\",\n              \"9                                                                                                                                                [MdELpha, ACTIvESMART, TECHNOLOGY]  \\n\",\n              \"10                                                                                                                                                                 [%7, &, 3, 1, 1]  \\n\",\n              \"11                                                                                                                                                     [hadelphia, %at, TECHNOLOGY]  \\n\",\n              \"12                                                                                                                                   [Qhdelpha, %2, ActiveshART, Technology, ming']  \\n\",\n              \"13                                                                                                                                                                              [4]  \\n\",\n              \"14                                                                                                                [WARNING:, Cancer and Reproductive Harm, AcTiveshaRT, Technology]  \\n\",\n              \"15                                              [Cancer and Reproductive, WWWP6Swarnings ca , 90v, 9, 3, NET WT 14 02 (3969), WARNING:, Harm, IRADER JOES\\\", ORCANIC, tuw, Tk\\\", TCs]  \\n\",\n              \"16                                                                                                              [WARNING:, Cancer and Reproductlve Harm, ACTIvEShART, phhladelphia]  \\n\",\n              \"17                                                                                                                     [Cancer , AcTIVESHART, WARNING:, Herm, Reproductive [, Yand]  \\n\",\n              \"18                                                                                              [WARNING:, Cencer, Reproductive Ham, 07, PHULAdeLphia, 81102, Jnoido, 2310), otics]  \\n\",\n              \"19                                                                   [Cancer ond, PhHLAdElphia, WARNING:, Reproductive /, Harm, WwW pGSwarnings ca gov, FR, 0, 8, 1, 8, probiotics]  \\n\",\n              \"20  [%, WaRNING, Cancer and[, Reprodrte, TRADER JoES\\\", rgani s, Choices, BIOLOGIQUR, Biologiquev_, thy, Cov, ELUA, Yanio, erics, TLB, des, Produit, 0z), (16 , of USA, US:, roduce]  \\n\",\n              \"21                                                                                       [WARNING:, Cancer and Reproductive }, %, Kyrm, WW p6Swarnngs cagov, TRADER JoES\\\", abn, FR]  \\n\",\n              \"22                                                                                                                                                    [WARNNG, Cancet and[, QH, FR]  \\n\",\n              \"23                                                                                                                                          [Du, %2, phuladelphia, 1, 2iotics, FIR]  \\n\",\n              \"24                                                                                             [On, WARNING;, Tand Reproductive Harm, Cancer, ca gov, Www p6Swarnings c, %7, otics]  \\n\",\n              \"25                                                                                 [PhlAdelphia, chion, gov, %7, WARNING:, Harm, Reproductive [, Tand, Cancer, p6Swarningsca , Www]  \\n\",\n              \"26                                                                                   [Ohion, WARNING:, Cancer and Reproductive Harm, wwwp6Swarnings cagov, %7, phLAdELphIa, hve, 1]  \\n\",\n              \"27                                                                                                                                                           [P7, Har, Reproductre]  \\n\",\n              \"28                                                                                                                                                                [MhLAdELphia, %2]  \\n\",\n              \"29                                                                                                                                                     [Activeshart, Technology, 8]  \"\n            ],\n            \"text/html\": [\n              \"\\n\",\n              \"  <div id=\\\"df-1205c51e-199c-48a4-9b4b-ee740ef8c192\\\" class=\\\"colab-df-container\\\">\\n\",\n              \"    <div>\\n\",\n              \"<style scoped>\\n\",\n              \"    .dataframe tbody tr th:only-of-type {\\n\",\n              \"        vertical-align: middle;\\n\",\n              \"    }\\n\",\n              \"\\n\",\n              \"    .dataframe tbody tr th {\\n\",\n              \"        vertical-align: top;\\n\",\n              \"    }\\n\",\n              \"\\n\",\n              \"    .dataframe thead th {\\n\",\n              \"        text-align: right;\\n\",\n              \"    }\\n\",\n              \"</style>\\n\",\n              \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n              \"  <thead>\\n\",\n              \"    <tr style=\\\"text-align: right;\\\">\\n\",\n              \"      <th></th>\\n\",\n              \"      <th>timestamps</th>\\n\",\n              \"      <th>texts</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>1.641293e+12</td>\\n\",\n              \"      <td>[]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1</th>\\n\",\n              \"      <td>1.642534e+12</td>\\n\",\n              \"      <td>[]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>2</th>\\n\",\n              \"      <td>1.643776e+12</td>\\n\",\n              \"      <td>[]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>3</th>\\n\",\n              \"      <td>1.645017e+12</td>\\n\",\n              \"      <td>[]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>4</th>\\n\",\n              \"      <td>1.646258e+12</td>\\n\",\n              \"      <td>[AcTiVESMART, %67, 0]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>5</th>\\n\",\n              \"      <td>1.647500e+12</td>\\n\",\n              \"      <td>[ActiveshaRT, TECHNOLOGY, %7, Stghattng;, CAMPARI', Tomatoes]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>6</th>\\n\",\n              \"      <td>1.648741e+12</td>\\n\",\n              \"      <td>[ActineskaRt, 9, 3]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>7</th>\\n\",\n              \"      <td>1.649982e+12</td>\\n\",\n              \"      <td>[Harn, Guan, Baby Bella Mushrooms, bebe bella cham, ACTIvESMART, Technology, ladelphia, Reproductte]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>8</th>\\n\",\n              \"      <td>1.651224e+12</td>\\n\",\n              \"      <td>[WA, Han, and, Cancer, %7, ActiveshaRT, TECHNOLOGT, RNING:, Reproducute ]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>9</th>\\n\",\n              \"      <td>1.652465e+12</td>\\n\",\n              \"      <td>[MdELpha, ACTIvESMART, TECHNOLOGY]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>10</th>\\n\",\n              \"      <td>1.653707e+12</td>\\n\",\n              \"      <td>[%7, &amp;, 3, 1, 1]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>11</th>\\n\",\n              \"      <td>1.654948e+12</td>\\n\",\n              \"      <td>[hadelphia, %at, TECHNOLOGY]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>12</th>\\n\",\n              \"      <td>1.656189e+12</td>\\n\",\n              \"      <td>[Qhdelpha, %2, ActiveshART, Technology, ming']</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>13</th>\\n\",\n              \"      <td>1.657431e+12</td>\\n\",\n              \"      <td>[4]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>14</th>\\n\",\n              \"      <td>1.658672e+12</td>\\n\",\n              \"      <td>[WARNING:, Cancer and Reproductive Harm, AcTiveshaRT, Technology]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>15</th>\\n\",\n              \"      <td>1.659913e+12</td>\\n\",\n              \"      <td>[Cancer and Reproductive, WWWP6Swarnings ca , 90v, 9, 3, NET WT 14 02 (3969), WARNING:, Harm, IRADER JOES\\\", ORCANIC, tuw, Tk\\\", TCs]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>16</th>\\n\",\n              \"      <td>1.661155e+12</td>\\n\",\n              \"      <td>[WARNING:, Cancer and Reproductlve Harm, ACTIvEShART, phhladelphia]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>17</th>\\n\",\n              \"      <td>1.662396e+12</td>\\n\",\n              \"      <td>[Cancer , AcTIVESHART, WARNING:, Herm, Reproductive [, Yand]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>18</th>\\n\",\n              \"      <td>1.663638e+12</td>\\n\",\n              \"      <td>[WARNING:, Cencer, Reproductive Ham, 07, PHULAdeLphia, 81102, Jnoido, 2310), otics]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>19</th>\\n\",\n              \"      <td>1.664879e+12</td>\\n\",\n              \"      <td>[Cancer ond, PhHLAdElphia, WARNING:, Reproductive /, Harm, WwW pGSwarnings ca gov, FR, 0, 8, 1, 8, probiotics]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>20</th>\\n\",\n              \"      <td>1.666120e+12</td>\\n\",\n              \"      <td>[%, WaRNING, Cancer and[, Reprodrte, TRADER JoES\\\", rgani s, Choices, BIOLOGIQUR, Biologiquev_, thy, Cov, ELUA, Yanio, erics, TLB, des, Produit, 0z), (16 , of USA, US:, roduce]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>21</th>\\n\",\n              \"      <td>1.667362e+12</td>\\n\",\n              \"      <td>[WARNING:, Cancer and Reproductive }, %, Kyrm, WW p6Swarnngs cagov, TRADER JoES\\\", abn, FR]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>22</th>\\n\",\n              \"      <td>1.668603e+12</td>\\n\",\n              \"      <td>[WARNNG, Cancet and[, QH, FR]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>23</th>\\n\",\n              \"      <td>1.669845e+12</td>\\n\",\n              \"      <td>[Du, %2, phuladelphia, 1, 2iotics, FIR]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>24</th>\\n\",\n              \"      <td>1.671086e+12</td>\\n\",\n              \"      <td>[On, WARNING;, Tand Reproductive Harm, Cancer, ca gov, Www p6Swarnings c, %7, otics]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>25</th>\\n\",\n              \"      <td>1.672327e+12</td>\\n\",\n              \"      <td>[PhlAdelphia, chion, gov, %7, WARNING:, Harm, Reproductive [, Tand, Cancer, p6Swarningsca , Www]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>26</th>\\n\",\n              \"      <td>1.673569e+12</td>\\n\",\n              \"      <td>[Ohion, WARNING:, Cancer and Reproductive Harm, wwwp6Swarnings cagov, %7, phLAdELphIa, hve, 1]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>27</th>\\n\",\n              \"      <td>1.674810e+12</td>\\n\",\n              \"      <td>[P7, Har, Reproductre]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>28</th>\\n\",\n              \"      <td>1.676051e+12</td>\\n\",\n              \"      <td>[MhLAdELphia, %2]</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>29</th>\\n\",\n              \"      <td>1.677293e+12</td>\\n\",\n              \"      <td>[Activeshart, Technology, 8]</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\\n\",\n              \"    <div class=\\\"colab-df-buttons\\\">\\n\",\n              \"\\n\",\n              \"  <div class=\\\"colab-df-container\\\">\\n\",\n              \"    <button class=\\\"colab-df-convert\\\" onclick=\\\"convertToInteractive('df-1205c51e-199c-48a4-9b4b-ee740ef8c192')\\\"\\n\",\n      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  },
  {
    "path": "sample_data/books.csv",
    "content": "book_name,img_url,id,date,time\nI Am a Strange Loop,https://img1.od-cdn.com/ImageType-100/0887-1/{A6AA81F6-9242-4793-8AB0-A5C8B5DBDB66}Img100.jpg,books_26,2019/04/19,04:37:00\nI Am a Strange Loop,https://img1.od-cdn.com/ImageType-100/0887-1/{A6AA81F6-9242-4793-8AB0-A5C8B5DBDB66}Img100.jpg,books_27,2019/04/17,04:50:00\nWar and Peace,https://img1.od-cdn.com/ImageType-100/0887-1/{97ABE6CD-7D83-475B-8278-210FB71B35DC}IMG100.JPG,books_28,2019/04/15,03:54:00\nWar and Peace,https://img1.od-cdn.com/ImageType-100/0887-1/{97ABE6CD-7D83-475B-8278-210FB71B35DC}IMG100.JPG,books_29,2019/04/05,19:23:00\nWar and Peace,https://img1.od-cdn.com/ImageType-100/0887-1/{97ABE6CD-7D83-475B-8278-210FB71B35DC}IMG100.JPG,books_30,2019/04/05,16:26:00\nThe Culture Map,https://img1.od-cdn.com/ImageType-100/1088-1/{19D66D38-7086-4689-A5CE-A63649FEEF96}Img100.jpg,books_31,2019/03/28,15:06:00\nThe Culture Map,https://img1.od-cdn.com/ImageType-100/1088-1/{19D66D38-7086-4689-A5CE-A63649FEEF96}Img100.jpg,books_32,2019/03/23,05:02:00\nWar and Peace,https://img1.od-cdn.com/ImageType-100/0887-1/{97ABE6CD-7D83-475B-8278-210FB71B35DC}IMG100.JPG,books_33,2019/03/14,16:26:00\nNeuromancer,https://img1.od-cdn.com/ImageType-100/1191-1/{7BA87BED-B3A1-4AD0-998A-CC84D7F542DA}Img100.jpg,books_34,2019/03/14,16:22:00\nHorse,https://img1.od-cdn.com/ImageType-100/1191-1/{C907B706-54A2-42AA-B199-16923A150BC4}Img100.jpg,books_35,2019/03/03,23:17:00\nExhalation,https://img1.od-cdn.com/ImageType-100/1191-1/{BBA7984E-7A18-4ADF-A1D5-FA1BE72BD5AA}Img100.jpg,books_36,2019/03/03,23:16:00\nNeuromancer,https://img1.od-cdn.com/ImageType-100/1191-1/{7BA87BED-B3A1-4AD0-998A-CC84D7F542DA}Img100.jpg,books_37,2019/04/30,16:51:00\nExhalation,https://img1.od-cdn.com/ImageType-100/1191-1/{BBA7984E-7A18-4ADF-A1D5-FA1BE72BD5AA}Img100.jpg,books_38,2019/04/28,04:25:00\nGive and Take,https://img1.od-cdn.com/ImageType-100/1191-1/{D4B1BE9F-E613-4495-9EC6-4380FBBCDC91}Img100.jpg,books_39,2019/04/27,13:27:00\nHallucinations,https://img1.od-cdn.com/ImageType-100/1191-1/{84AE575E-576F-4590-A6E6-8460DE966A95}Img100.jpg,books_40,2019/04/18,11:22:00\nHorse,https://img1.od-cdn.com/ImageType-100/1191-1/{C907B706-54A2-42AA-B199-16923A150BC4}Img100.jpg,books_41,2019/04/16,00:11:00\nThink Again,https://img1.od-cdn.com/ImageType-100/1191-1/{E53B8C11-8116-46D4-9930-66B3A1F970EB}Img100.jpg,books_42,2019/04/13,23:11:00\nGive and Take,https://img1.od-cdn.com/ImageType-100/1191-1/{D4B1BE9F-E613-4495-9EC6-4380FBBCDC91}Img100.jpg,books_43,2019/04/10,02:24:00\nInto the Magic Shop,https://img1.od-cdn.com/ImageType-100/0887-1/{3FD140F9-B7BE-42CF-AF9C-1D1E95503B30}Img100.jpg,books_44,2019/04/10,02:23:00\nGood Anxiety,https://img1.od-cdn.com/ImageType-100/5054-1/{B38EC863-9C53-4816-B0A3-70960F5EE87E}Img100.jpg,books_45,2019/04/06,14:35:00\nHallucinations,https://img1.od-cdn.com/ImageType-100/1191-1/{84AE575E-576F-4590-A6E6-8460DE966A95}Img100.jpg,books_46,2019/04/05,23:52:00\nThink Again,https://img1.od-cdn.com/ImageType-100/1191-1/{E53B8C11-8116-46D4-9930-66B3A1F970EB}Img100.jpg,books_47,2019/04/05,23:51:00\nNeuromancer,https://img1.od-cdn.com/ImageType-100/1191-1/{7BA87BED-B3A1-4AD0-998A-CC84D7F542DA}Img100.jpg,books_48,2019/04/04,03:49:00\nInto the Magic Shop,https://img1.od-cdn.com/ImageType-100/0887-1/{3FD140F9-B7BE-42CF-AF9C-1D1E95503B30}Img100.jpg,books_49,2019/04/03,20:17:00\n\"Healthy Brain, Happy Life\",https://img1.od-cdn.com/ImageType-100/0293-1/{C964EFD7-0622-43C1-BFEC-42DB9C82A827}Img100.jpg,books_50,2019/04/03,04:23:00\nGood Anxiety,https://img1.od-cdn.com/ImageType-100/5054-1/{B38EC863-9C53-4816-B0A3-70960F5EE87E}Img100.jpg,books_51,2019/04/03,04:23:00\nYear of Wonders,https://img1.od-cdn.com/ImageType-100/0887-1/{C231E269-04B3-46AA-9410-49493BE8415E}Img100.jpg,books_52,2019/03/29,20:50:00\n\"Healthy Brain, Happy Life\",https://img1.od-cdn.com/ImageType-100/0293-1/{C964EFD7-0622-43C1-BFEC-42DB9C82A827}Img100.jpg,books_53,2019/03/28,04:08:00\nYear of Wonders,https://img1.od-cdn.com/ImageType-100/0887-1/{C231E269-04B3-46AA-9410-49493BE8415E}Img100.jpg,books_54,2019/03/24,20:24:00\nHorse,https://img1.od-cdn.com/ImageType-100/1191-1/{C907B706-54A2-42AA-B199-16923A150BC4}Img100.jpg,books_55,2019/03/24,20:22:00\nHallucinations,https://img1.od-cdn.com/ImageType-100/1191-1/{84AE575E-576F-4590-A6E6-8460DE966A95}Img100.jpg,books_56,2019/03/24,20:19:00\nThe River of Consciousness,https://img1.od-cdn.com/ImageType-100/1191-1/{0FA8ED18-A311-4DDB-A67C-2EAAB5AD90EE}Img100.jpg,books_57,2019/03/24,20:15:00\nThe River of Consciousness,https://img1.od-cdn.com/ImageType-100/1191-1/{0FA8ED18-A311-4DDB-A67C-2EAAB5AD90EE}Img100.jpg,books_58,2019/03/23,14:26:00\nOriginals,https://img1.od-cdn.com/ImageType-100/1191-1/{659784EB-40E0-4061-904D-17606BAD9980}Img100.jpg,books_59,2019/03/23,14:25:00\nThe River of Consciousness,https://img1.od-cdn.com/ImageType-100/1191-1/{0FA8ED18-A311-4DDB-A67C-2EAAB5AD90EE}Img100.jpg,books_60,2019/03/23,14:24:00\nThe River of Consciousness,https://img1.od-cdn.com/ImageType-100/1191-1/{0FA8ED18-A311-4DDB-A67C-2EAAB5AD90EE}Img100.jpg,books_61,2019/03/23,14:23:00\nOriginals,https://img1.od-cdn.com/ImageType-100/1191-1/{659784EB-40E0-4061-904D-17606BAD9980}Img100.jpg,books_62,2019/03/20,23:47:00\nGive and Take,https://img1.od-cdn.com/ImageType-100/1191-1/{D4B1BE9F-E613-4495-9EC6-4380FBBCDC91}Img100.jpg,books_63,2019/03/20,23:46:00\nThink Again,https://img1.od-cdn.com/ImageType-100/1191-1/{E53B8C11-8116-46D4-9930-66B3A1F970EB}Img100.jpg,books_64,2019/03/20,23:46:00\nStories of Your Life and Others,https://img1.od-cdn.com/ImageType-100/1219-1/{E5634854-4A0C-4971-95FB-9C38A1A8C2DE}Img100.jpg,books_65,2019/03/20,00:21:00\n\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\",https://img1.od-cdn.com/ImageType-100/6852-1/{B1E07D01-EFD7-4767-88E7-5DE22657FE51}IMG100.JPG,books_66,2019/03/20,00:20:00\nStories of Your Life and Others,https://img1.od-cdn.com/ImageType-100/1219-1/{E5634854-4A0C-4971-95FB-9C38A1A8C2DE}Img100.jpg,books_67,2019/03/16,22:10:00\nEinstein,https://img1.od-cdn.com/ImageType-100/5054-1/{82F07E3E-0184-4FD8-AE8D-7C359F454586}Img100.jpg,books_68,2019/03/16,22:09:00\nHow to Win Friends & Influence People in the Digital Age,https://img1.od-cdn.com/ImageType-100/1294-1/{6FE70C4B-92E2-43A3-82CE-C44565A042A3}Img100.jpg,books_69,2019/03/11,15:40:00\nThe Culture Map,https://img1.od-cdn.com/ImageType-100/1088-1/{19D66D38-7086-4689-A5CE-A63649FEEF96}Img100.jpg,books_70,2019/03/11,00:07:00\nEinstein,https://img1.od-cdn.com/ImageType-100/5054-1/{82F07E3E-0184-4FD8-AE8D-7C359F454586}Img100.jpg,books_71,2019/03/05,17:07:00\n1491,https://img1.od-cdn.com/ImageType-100/1191-1/{A7EC6CC4-107C-4DDE-BC7E-516A916C462C}Img100.jpg,books_72,2019/03/05,17:04:00\n\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\",https://img1.od-cdn.com/ImageType-100/6852-1/{B1E07D01-EFD7-4767-88E7-5DE22657FE51}IMG100.JPG,books_73,2019/03/05,09:45:00\n\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\",https://img1.od-cdn.com/ImageType-100/6852-1/{B1E07D01-EFD7-4767-88E7-5DE22657FE51}IMG100.JPG,books_74,2019/04/29,18:04:00\nThe Psychology of Money,https://img1.od-cdn.com/ImageType-100/6645-1/{6662B07C-039F-4CEA-A4AD-08F037CC2AE3}Img100.jpg,books_75,2019/04/27,03:18:00\n1491,https://img1.od-cdn.com/ImageType-100/1191-1/{A7EC6CC4-107C-4DDE-BC7E-516A916C462C}Img100.jpg,books_76,2019/04/26,00:41:00\nThe Boys,https://img1.od-cdn.com/ImageType-100/7552-1/{C1FC45F2-9E2D-4FA8-9EBE-72DF14121401}IMG100.JPG,books_77,2019/04/25,14:39:00\nThe Boys,https://img1.od-cdn.com/ImageType-100/7552-1/{C1FC45F2-9E2D-4FA8-9EBE-72DF14121401}IMG100.JPG,books_78,2019/04/22,17:47:00\nHow to Win Friends & Influence People in the Digital Age,https://img1.od-cdn.com/ImageType-100/1294-1/{6FE70C4B-92E2-43A3-82CE-C44565A042A3}Img100.jpg,books_79,2019/04/21,15:40:00\nHow the World Really Works,https://img1.od-cdn.com/ImageType-100/1191-1/{2F5C2C49-A53D-4B42-8DCF-1AD588DF5476}Img100.jpg,books_80,2019/04/20,22:06:00\nFrom Strength to Strength,https://img1.od-cdn.com/ImageType-100/1191-1/{0D269BBE-2AEA-4557-8009-11ADDBEF9E10}Img100.jpg,books_81,2019/04/18,03:50:00\nHow the World Really Works,https://img1.od-cdn.com/ImageType-100/1191-1/{2F5C2C49-A53D-4B42-8DCF-1AD588DF5476}Img100.jpg,books_82,2019/04/14,17:30:00\n1491,https://img1.od-cdn.com/ImageType-100/1191-1/{A7EC6CC4-107C-4DDE-BC7E-516A916C462C}Img100.jpg,books_83,2019/04/07,23:17:00\nThe Boys,https://img1.od-cdn.com/ImageType-100/7552-1/{C1FC45F2-9E2D-4FA8-9EBE-72DF14121401}IMG100.JPG,books_84,2019/04/03,20:41:00\nThe Devil's Star,https://img1.od-cdn.com/ImageType-100/1191-1/{082BCD72-EA9B-450E-9784-F978EC90DE73}Img100.jpg,books_85,2019/03/28,17:36:00\nThe Bitcoin Standard,https://img1.od-cdn.com/ImageType-100/0128-1/{0A84F8C2-77CC-4E4D-B2AA-002F7FC1C3F7}Img100.jpg,books_86,2019/03/24,22:41:00\nThe Devil's Star,https://img1.od-cdn.com/ImageType-100/1191-1/{082BCD72-EA9B-450E-9784-F978EC90DE73}Img100.jpg,books_87,2019/03/07,17:36:00\nMating in Captivity,https://img1.od-cdn.com/ImageType-100/0293-1/{09F22BD0-4235-4A59-A677-82A0AF31CB3F}Img100.jpg,books_88,2019/03/06,03:51:00\nHow the World Really Works,https://img1.od-cdn.com/ImageType-100/1191-1/{2F5C2C49-A53D-4B42-8DCF-1AD588DF5476}Img100.jpg,books_89,2019/03/06,03:05:00\nThe Lincoln Highway,https://img1.od-cdn.com/ImageType-100/1191-1/{C1399BF6-5678-4BCA-8520-1DEE2527E29A}Img100.jpg,books_90,2019/03/06,03:04:00\nThe Three-Body Problem,https://img1.od-cdn.com/ImageType-100/1493-1/{E865FBC4-6E05-4F87-B780-728E64158A2C}Img100.jpg,books_91,2019/03/04,03:07:00\nMating in Captivity,https://img1.od-cdn.com/ImageType-100/0293-1/{09F22BD0-4235-4A59-A677-82A0AF31CB3F}Img100.jpg,books_92,2019/03/04,03:07:00\nThe Culture Map,https://img1.od-cdn.com/ImageType-100/1088-1/{19D66D38-7086-4689-A5CE-A63649FEEF96}Img100.jpg,books_93,2019/03/04,03:06:00\nThe Bitcoin Standard,https://img1.od-cdn.com/ImageType-100/0128-1/{0A84F8C2-77CC-4E4D-B2AA-002F7FC1C3F7}Img100.jpg,books_94,2019/03/03,22:41:00\nThe Three-Body Problem,https://img1.od-cdn.com/ImageType-100/1493-1/{E865FBC4-6E05-4F87-B780-728E64158A2C}Img100.jpg,books_95,2019/04/21,19:17:00\nThe Ministry for the Future,https://img1.od-cdn.com/ImageType-100/0887-1/{81F5A348-EEB3-4546-BCEA-1FCFCB709C52}Img100.jpg,books_96,2019/04/05,18:59:00\nBenjamin Franklin,https://img1.od-cdn.com/ImageType-100/5054-1/{0B379166-D254-4592-B4D5-FFC2254119FB}Img100.jpg,books_97,2019/03/28,21:42:00\nThe Curious Case of Benjamin Button and Other Jazz Age Tales,https://img1.od-cdn.com/ImageType-100/1219-1/{146935CF-D64E-46E9-B63D-CFD6182F1BE4}Img100.jpg,books_98,2019/03/18,23:42:00\nThe House of the Spirits,https://img1.od-cdn.com/ImageType-100/5054-1/{BC0222FF-419B-4FB4-B844-CBC6128B6E7D}Img100.jpg,books_99,2019/03/18,23:41:00\nThe Ministry for the Future,https://img1.od-cdn.com/ImageType-100/0887-1/{81F5A348-EEB3-4546-BCEA-1FCFCB709C52}Img100.jpg,books_100,2019/03/15,18:59:00\nThe Body,https://img1.od-cdn.com/ImageType-100/1191-1/{38DDDC42-8411-4192-96F7-56BE613A6F27}Img100.jpg,books_101,2019/03/08,17:18:00\nBenjamin Franklin,https://img1.od-cdn.com/ImageType-100/5054-1/{0B379166-D254-4592-B4D5-FFC2254119FB}Img100.jpg,books_102,2019/03/07,21:42:00\nThe Curious Case of Benjamin Button and Other Jazz Age Tales,https://img1.od-cdn.com/ImageType-100/1219-1/{146935CF-D64E-46E9-B63D-CFD6182F1BE4}Img100.jpg,books_103,2019/04/27,23:42:00\nThe House of the Spirits,https://img1.od-cdn.com/ImageType-100/5054-1/{BC0222FF-419B-4FB4-B844-CBC6128B6E7D}Img100.jpg,books_104,2019/04/27,23:41:00\nThe Ministry for the Future,https://img1.od-cdn.com/ImageType-100/0887-1/{81F5A348-EEB3-4546-BCEA-1FCFCB709C52}Img100.jpg,books_105,2019/04/24,22:57:00\nLeonardo da Vinci,https://img1.od-cdn.com/ImageType-100/5054-1/{8BD6950E-7348-44E2-8EB8-C40021DED5CE}Img100.jpg,books_106,2019/04/24,18:43:00\nThe Body,https://img1.od-cdn.com/ImageType-100/1191-1/{38DDDC42-8411-4192-96F7-56BE613A6F27}Img100.jpg,books_107,2019/04/17,17:18:00\nBenjamin Franklin,https://img1.od-cdn.com/ImageType-100/5054-1/{0B379166-D254-4592-B4D5-FFC2254119FB}Img100.jpg,books_108,2019/04/17,17:16:00\nLeonardo da Vinci,https://img1.od-cdn.com/ImageType-100/5054-1/{8BD6950E-7348-44E2-8EB8-C40021DED5CE}Img100.jpg,books_109,2019/04/03,18:43:00\nA Thousand Brains: A New Theory of Intelligence,https://ws-na.amazon-adsystem.com/widgets/q?_encoding=UTF8&MarketPlace=US&ASIN=B08VWV2WDK&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250,books_111,2019/04/28,16:51:51\n50 Greatest Positive Psychology Quotes: A Beautiful Photo Book of The Most Inspiring Positive Psychological Quotes,https://ws-na.amazon-adsystem.com/widgets/q?_encoding=UTF8&MarketPlace=US&ASIN=B08JFTX8D1&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250,books_112,2019/04/20,16:51:51\nBefore the Coffee Gets Cold: A Novel (Before the Coffee Gets Cold Series Book 1),https://ws-na.amazon-adsystem.com/widgets/q?_encoding=UTF8&MarketPlace=US&ASIN=B084B6VFHG&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250,books_113,2019/03/27,16:51:51\nThe Enigma of Reason,https://ws-na.amazon-adsystem.com/widgets/q?_encoding=UTF8&MarketPlace=US&ASIN=B06XWFM3PP&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250,books_114,2019/03/24,16:51:51\nSnow Crash: A Novel,https://ws-na.amazon-adsystem.com/widgets/q?_encoding=UTF8&MarketPlace=US&ASIN=B000FBJCJE&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250,books_115,2019/03/12,16:51:51\nThe Innovators,https://ws-na.amazon-adsystem.com/widgets/q?_encoding=UTF8&MarketPlace=US&ASIN=B00M9KA2ZM&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250,books_267,2019/03/08,16:51:51\nLife 3.0,https://ws-na.amazon-adsystem.com/widgets/q?_encoding=UTF8&MarketPlace=US&ASIN=B0742K1G4Q&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250,books_268,2019/03/08,16:51:51\nTotal Recall,https://ws-na.amazon-adsystem.com/widgets/q?_encoding=UTF8&MarketPlace=US&ASIN=B003DKVAB2&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250,books_269,2019/03/17,16:51:51\nDiscovery Trial,https://ws-na.amazon-adsystem.com/widgets/q?_encoding=UTF8&MarketPlace=US&ASIN=B0821SC3ZP&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250,books_270,2019/04/28,16:51:51\n"
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    "content": ",Unnamed: 0,time,book_name,img_url,id\n0,0,2019-04-19T04:37:00,I Am a Strange Loop,https://img1.od-cdn.com/ImageType-100/0887-1/{A6AA81F6-9242-4793-8AB0-A5C8B5DBDB66}Img100.jpg,books_26\n1,1,2019-04-17T04:50:00,I Am a Strange Loop,https://img1.od-cdn.com/ImageType-100/0887-1/{A6AA81F6-9242-4793-8AB0-A5C8B5DBDB66}Img100.jpg,books_27\n2,2,2019-04-15T03:54:00,War and Peace,https://img1.od-cdn.com/ImageType-100/0887-1/{97ABE6CD-7D83-475B-8278-210FB71B35DC}IMG100.JPG,books_28\n3,3,2019-04-05T19:23:00,War and Peace,https://img1.od-cdn.com/ImageType-100/0887-1/{97ABE6CD-7D83-475B-8278-210FB71B35DC}IMG100.JPG,books_29\n4,4,2019-04-05T16:26:00,War and Peace,https://img1.od-cdn.com/ImageType-100/0887-1/{97ABE6CD-7D83-475B-8278-210FB71B35DC}IMG100.JPG,books_30\n5,5,2019-03-28T15:06:00,The Culture Map,https://img1.od-cdn.com/ImageType-100/1088-1/{19D66D38-7086-4689-A5CE-A63649FEEF96}Img100.jpg,books_31\n6,6,2019-03-23T05:02:00,The Culture 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\"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/1191-1\\/{A7EC6CC4-107C-4DDE-BC7E-516A916C462C}Img100.jpg\",\n    \"id\":\"books_83\"\n  },\n  {\n    \"Unnamed: 0\":58,\n    \"time\":\"2019-04-03T20:41:00\",\n    \"book_name\":\"The Boys\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/7552-1\\/{C1FC45F2-9E2D-4FA8-9EBE-72DF14121401}IMG100.JPG\",\n    \"id\":\"books_84\"\n  },\n  {\n    \"Unnamed: 0\":59,\n    \"time\":\"2019-03-28T17:36:00\",\n    \"book_name\":\"The Devil's Star\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/1191-1\\/{082BCD72-EA9B-450E-9784-F978EC90DE73}Img100.jpg\",\n    \"id\":\"books_85\"\n  },\n  {\n    \"Unnamed: 0\":60,\n    \"time\":\"2019-03-24T22:41:00\",\n    \"book_name\":\"The Bitcoin Standard\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/0128-1\\/{0A84F8C2-77CC-4E4D-B2AA-002F7FC1C3F7}Img100.jpg\",\n    \"id\":\"books_86\"\n  },\n  {\n    \"Unnamed: 0\":61,\n    \"time\":\"2019-03-07T17:36:00\",\n    \"book_name\":\"The Devil's Star\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/1191-1\\/{082BCD72-EA9B-450E-9784-F978EC90DE73}Img100.jpg\",\n    \"id\":\"books_87\"\n  },\n  {\n    \"Unnamed: 0\":62,\n    \"time\":\"2019-03-06T03:51:00\",\n    \"book_name\":\"Mating in Captivity\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/0293-1\\/{09F22BD0-4235-4A59-A677-82A0AF31CB3F}Img100.jpg\",\n    \"id\":\"books_88\"\n  },\n  {\n    \"Unnamed: 0\":63,\n    \"time\":\"2019-03-06T03:05:00\",\n    \"book_name\":\"How the World Really Works\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/1191-1\\/{2F5C2C49-A53D-4B42-8DCF-1AD588DF5476}Img100.jpg\",\n    \"id\":\"books_89\"\n  },\n  {\n    \"Unnamed: 0\":64,\n    \"time\":\"2019-03-06T03:04:00\",\n    \"book_name\":\"The Lincoln Highway\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/1191-1\\/{C1399BF6-5678-4BCA-8520-1DEE2527E29A}Img100.jpg\",\n    \"id\":\"books_90\"\n  },\n  {\n    \"Unnamed: 0\":65,\n    \"time\":\"2019-03-04T03:07:00\",\n    \"book_name\":\"The Three-Body Problem\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/1493-1\\/{E865FBC4-6E05-4F87-B780-728E64158A2C}Img100.jpg\",\n    \"id\":\"books_91\"\n  },\n  {\n    \"Unnamed: 0\":66,\n    \"time\":\"2019-03-04T03:07:00\",\n    \"book_name\":\"Mating in Captivity\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/0293-1\\/{09F22BD0-4235-4A59-A677-82A0AF31CB3F}Img100.jpg\",\n    \"id\":\"books_92\"\n  },\n  {\n    \"Unnamed: 0\":67,\n    \"time\":\"2019-03-04T03:06:00\",\n    \"book_name\":\"The Culture Map\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/1088-1\\/{19D66D38-7086-4689-A5CE-A63649FEEF96}Img100.jpg\",\n    \"id\":\"books_93\"\n  },\n  {\n    \"Unnamed: 0\":68,\n    \"time\":\"2019-03-03T22:41:00\",\n    \"book_name\":\"The Bitcoin Standard\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/0128-1\\/{0A84F8C2-77CC-4E4D-B2AA-002F7FC1C3F7}Img100.jpg\",\n    \"id\":\"books_94\"\n  },\n  {\n    \"Unnamed: 0\":69,\n    \"time\":\"2019-04-21T19:17:00\",\n    \"book_name\":\"The Three-Body Problem\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/1493-1\\/{E865FBC4-6E05-4F87-B780-728E64158A2C}Img100.jpg\",\n    \"id\":\"books_95\"\n  },\n  {\n    \"Unnamed: 0\":70,\n    \"time\":\"2019-04-05T18:59:00\",\n    \"book_name\":\"The Ministry for the Future\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/0887-1\\/{81F5A348-EEB3-4546-BCEA-1FCFCB709C52}Img100.jpg\",\n    \"id\":\"books_96\"\n  },\n  {\n    \"Unnamed: 0\":71,\n    \"time\":\"2019-03-28T21:42:00\",\n    \"book_name\":\"Benjamin Franklin\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/5054-1\\/{0B379166-D254-4592-B4D5-FFC2254119FB}Img100.jpg\",\n    \"id\":\"books_97\"\n  },\n  {\n    \"Unnamed: 0\":72,\n    \"time\":\"2019-03-18T23:42:00\",\n    \"book_name\":\"The Curious Case of Benjamin Button and Other Jazz Age Tales\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/1219-1\\/{146935CF-D64E-46E9-B63D-CFD6182F1BE4}Img100.jpg\",\n    \"id\":\"books_98\"\n  },\n  {\n    \"Unnamed: 0\":73,\n    \"time\":\"2019-03-18T23:41:00\",\n    \"book_name\":\"The House of the Spirits\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/5054-1\\/{BC0222FF-419B-4FB4-B844-CBC6128B6E7D}Img100.jpg\",\n    \"id\":\"books_99\"\n  },\n  {\n    \"Unnamed: 0\":74,\n    \"time\":\"2019-03-15T18:59:00\",\n    \"book_name\":\"The Ministry for the Future\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/0887-1\\/{81F5A348-EEB3-4546-BCEA-1FCFCB709C52}Img100.jpg\",\n    \"id\":\"books_100\"\n  },\n  {\n    \"Unnamed: 0\":75,\n    \"time\":\"2019-03-08T17:18:00\",\n    \"book_name\":\"The Body\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/1191-1\\/{38DDDC42-8411-4192-96F7-56BE613A6F27}Img100.jpg\",\n    \"id\":\"books_101\"\n  },\n  {\n    \"Unnamed: 0\":76,\n    \"time\":\"2019-03-07T21:42:00\",\n    \"book_name\":\"Benjamin Franklin\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/5054-1\\/{0B379166-D254-4592-B4D5-FFC2254119FB}Img100.jpg\",\n    \"id\":\"books_102\"\n  },\n  {\n    \"Unnamed: 0\":77,\n    \"time\":\"2019-04-27T23:42:00\",\n    \"book_name\":\"The Curious Case of Benjamin Button and Other Jazz Age Tales\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/1219-1\\/{146935CF-D64E-46E9-B63D-CFD6182F1BE4}Img100.jpg\",\n    \"id\":\"books_103\"\n  },\n  {\n    \"Unnamed: 0\":78,\n    \"time\":\"2019-04-27T23:41:00\",\n    \"book_name\":\"The House of the Spirits\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/5054-1\\/{BC0222FF-419B-4FB4-B844-CBC6128B6E7D}Img100.jpg\",\n    \"id\":\"books_104\"\n  },\n  {\n    \"Unnamed: 0\":79,\n    \"time\":\"2019-04-24T22:57:00\",\n    \"book_name\":\"The Ministry for the Future\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/0887-1\\/{81F5A348-EEB3-4546-BCEA-1FCFCB709C52}Img100.jpg\",\n    \"id\":\"books_105\"\n  },\n  {\n    \"Unnamed: 0\":80,\n    \"time\":\"2019-04-24T18:43:00\",\n    \"book_name\":\"Leonardo da Vinci\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/5054-1\\/{8BD6950E-7348-44E2-8EB8-C40021DED5CE}Img100.jpg\",\n    \"id\":\"books_106\"\n  },\n  {\n    \"Unnamed: 0\":81,\n    \"time\":\"2019-04-17T17:18:00\",\n    \"book_name\":\"The Body\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/1191-1\\/{38DDDC42-8411-4192-96F7-56BE613A6F27}Img100.jpg\",\n    \"id\":\"books_107\"\n  },\n  {\n    \"Unnamed: 0\":82,\n    \"time\":\"2019-04-17T17:16:00\",\n    \"book_name\":\"Benjamin Franklin\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/5054-1\\/{0B379166-D254-4592-B4D5-FFC2254119FB}Img100.jpg\",\n    \"id\":\"books_108\"\n  },\n  {\n    \"Unnamed: 0\":83,\n    \"time\":\"2019-04-03T18:43:00\",\n    \"book_name\":\"Leonardo da Vinci\",\n    \"img_url\":\"https:\\/\\/img1.od-cdn.com\\/ImageType-100\\/5054-1\\/{8BD6950E-7348-44E2-8EB8-C40021DED5CE}Img100.jpg\",\n    \"id\":\"books_109\"\n  },\n  {\n    \"Unnamed: 0\":84,\n    \"time\":\"2019-04-28T16:51:51\",\n    \"book_name\":\"A Thousand Brains: A New Theory of Intelligence\",\n    \"img_url\":\"https:\\/\\/ws-na.amazon-adsystem.com\\/widgets\\/q?_encoding=UTF8&MarketPlace=US&ASIN=B08VWV2WDK&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250\",\n    \"id\":\"books_111\"\n  },\n  {\n    \"Unnamed: 0\":85,\n    \"time\":\"2019-04-20T16:51:51\",\n    \"book_name\":\"50 Greatest Positive Psychology Quotes: A Beautiful Photo Book of The Most Inspiring Positive Psychological Quotes\",\n    \"img_url\":\"https:\\/\\/ws-na.amazon-adsystem.com\\/widgets\\/q?_encoding=UTF8&MarketPlace=US&ASIN=B08JFTX8D1&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250\",\n    \"id\":\"books_112\"\n  },\n  {\n    \"Unnamed: 0\":86,\n    \"time\":\"2019-03-27T16:51:51\",\n    \"book_name\":\"Before the Coffee Gets Cold: A Novel (Before the Coffee Gets Cold Series Book 1)\",\n    \"img_url\":\"https:\\/\\/ws-na.amazon-adsystem.com\\/widgets\\/q?_encoding=UTF8&MarketPlace=US&ASIN=B084B6VFHG&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250\",\n    \"id\":\"books_113\"\n  },\n  {\n    \"Unnamed: 0\":87,\n    \"time\":\"2019-03-24T16:51:51\",\n    \"book_name\":\"The Enigma of Reason\",\n    \"img_url\":\"https:\\/\\/ws-na.amazon-adsystem.com\\/widgets\\/q?_encoding=UTF8&MarketPlace=US&ASIN=B06XWFM3PP&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250\",\n    \"id\":\"books_114\"\n  },\n  {\n    \"Unnamed: 0\":88,\n    \"time\":\"2019-03-12T16:51:51\",\n    \"book_name\":\"Snow Crash: A Novel\",\n    \"img_url\":\"https:\\/\\/ws-na.amazon-adsystem.com\\/widgets\\/q?_encoding=UTF8&MarketPlace=US&ASIN=B000FBJCJE&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250\",\n    \"id\":\"books_115\"\n  },\n  {\n    \"Unnamed: 0\":89,\n    \"time\":\"2019-03-08T16:51:51\",\n    \"book_name\":\"The Innovators\",\n    \"img_url\":\"https:\\/\\/ws-na.amazon-adsystem.com\\/widgets\\/q?_encoding=UTF8&MarketPlace=US&ASIN=B00M9KA2ZM&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250\",\n    \"id\":\"books_267\"\n  },\n  {\n    \"Unnamed: 0\":90,\n    \"time\":\"2019-03-08T16:51:51\",\n    \"book_name\":\"Life 3.0\",\n    \"img_url\":\"https:\\/\\/ws-na.amazon-adsystem.com\\/widgets\\/q?_encoding=UTF8&MarketPlace=US&ASIN=B0742K1G4Q&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250\",\n    \"id\":\"books_268\"\n  },\n  {\n    \"Unnamed: 0\":91,\n    \"time\":\"2019-03-17T16:51:51\",\n    \"book_name\":\"Total Recall\",\n    \"img_url\":\"https:\\/\\/ws-na.amazon-adsystem.com\\/widgets\\/q?_encoding=UTF8&MarketPlace=US&ASIN=B003DKVAB2&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250\",\n    \"id\":\"books_269\"\n  },\n  {\n    \"Unnamed: 0\":92,\n    \"time\":\"2019-04-28T16:51:51\",\n    \"book_name\":\"Discovery Trial\",\n    \"img_url\":\"https:\\/\\/ws-na.amazon-adsystem.com\\/widgets\\/q?_encoding=UTF8&MarketPlace=US&ASIN=B0821SC3ZP&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250\",\n    \"id\":\"books_270\"\n  }\n]"
  },
  {
    "path": "sample_data/config.ini",
    "content": "[embedding_model]\nmodel = text-embedding-ada-002\nencoding = cl100k_base\nmax_tokens = 8000\n\n[Views]\nmodel_name = gpt-3.5-turbo\n\n[RAG]\nqa_model = text-davinci-003\ntemperature = 0.5\n#max_tokens = 256\n#top_p = 1\n#frequency_penalty = 0\n#presence_penalty = 0\ntopk = 10\n\n[rag_prompt] \nprompt = \"Use the following pieces of context and general knowledge to answer the question at the end. If the question cannot be answered with the context, ignore the context and answer with general knowledge. If you don't know the answer, just say that you don't know, don't try to make up an answer. \\n\\n{context}\\n\\nQuestion: {question} \\nAnswer:\"\n\n[sql_prompt]\nprompt_basic = # Table name: {tablename}\\n# Table schema: {schema}\n\t# Table description: {table_desc}\n\t#\n\t# Given the above table, schema, and description, write an SQLite query to answer the following query. The format of dates is in YYYY-MM-DD. For a range between two dates d1 and d2, use 'BETWEEN d1 and d2'.\n\t#\n\t# {question}\n\tSELECT\nprompt = # Table name: {tablename}\n\t# Table schema: {schema}\n\t# Table description: {table_desc}\n\t#\n\t# Example rows:\n\t#\n\t#\n\t{example}\n\t#\n\t# Given the above table, schema, and description, write an SQLite query to answer the question below. The format of dates is in YYYY-MM-DD. For a range between two dates d1 and d2, use 'BETWEEN d1 and d2'. {additional_context} Avoid using the attribute eid.\n\t#\n\t# {question}\n\tSELECT\n\n[input]\nsource_idx = episodes.pkl\nviews_db = views_db.sqlite\nviews_metadata = views_metadata.txt\nviews_metadata_idx = views_idx.csv\nqueryfile = \n"
  },
  {
    "path": "sample_data/create_db.sql",
    "content": "create table books(book_name TEXT, img_url TEXT, id TEXT PRIMARY KEY, date TEXT, time TEXT);\ncreate table purchase(purchase_id TEXT,productName TEXT,productPrice REAL,productQuantity REAL,id TEXT PRIMARY KEY,date TEXT,time TEXT);\ncreate table exercise(textDescription TEXT,duration REAL,distance REAL,calories REAL,outdoor INTEGER,temperature TEXT, id TEXT PRIMARY KEY,start_date TEXT,start_time TEXT,end_date TEXT,end_time TEXT);\ncreate table photos(textDescription TEXT,adddress TEXT,lat REAL,long REAL,details TEXT,img_url TEXT,id TEXT PRIMARY KEY,start_date TEXT,start_time TEXT,end_date TEXT,end_time TEXT);\ncreate table streaming(artist TEXT,track TEXT,playtimeMs INTEGER,spotify_link TEXT,id TEXT PRIMARY KEY,start_date TEXT,start_time TEXT,end_date TEXT,end_time TEXT);\ncreate table places(textDescription TEXT,start_address TEXT,start_lat REAL,start_long REAL,end_address TEXT,end_lat REAL,end_long REAL,id TEXT PRIMARY KEY,start_date TEXT,start_time TEXT,end_date TEXT,end_time TEXT);\ncreate table trips(textDescription TEXT,country TEXT,states_provinces TEXT,cities_towns TEXT,places TEXT,id TEXT PRIMARY KEY,start_date TEXT,start_time TEXT,end_date TEXT,end_time TEXT);\n\n.mode csv\n.import books.csv books --skip 1\n.import purchase.csv purchase --skip 1\n.import exercise.csv exercise --skip 1\n.import photos.csv photos --skip 1\n.import streaming.csv streaming --skip 1\n.import places.csv places --skip 1\n.import trips.csv trips --skip 1\n"
  },
  {
    "path": "sample_data/episodes.csv",
    "content": "id,desc,details,date\nbooks_26,\"I purchased the book \"\"I Am a Strange Loop\"\" from Amazon Kindle\",\"I purchased the book \"\"I Am a Strange Loop\"\" from Amazon Kindle\",2019-04-19T04:37:00\nbooks_27,\"I purchased the book \"\"I Am a Strange Loop\"\" from Amazon Kindle\",\"I purchased the book \"\"I Am a Strange Loop\"\" from Amazon Kindle\",2019-04-17T04:50:00\nbooks_28,\"I purchased the book \"\"War and Peace\"\" from Amazon Kindle\",\"I purchased the book \"\"War and Peace\"\" from Amazon Kindle\",2019-04-15T03:54:00\nbooks_29,\"I purchased the book \"\"War and Peace\"\" from Amazon Kindle\",\"I purchased the book \"\"War and Peace\"\" from Amazon Kindle\",2019-04-05T19:23:00\nbooks_30,\"I purchased the book \"\"War and Peace\"\" from Amazon Kindle\",\"I purchased the book \"\"War and Peace\"\" from Amazon Kindle\",2019-04-05T16:26:00\nbooks_31,\"I purchased the book \"\"The Culture Map\"\" from Amazon Kindle\",\"I purchased the book \"\"The Culture Map\"\" from Amazon Kindle\",2019-03-28T15:06:00\nbooks_32,\"I purchased the book \"\"The Culture Map\"\" from Amazon Kindle\",\"I purchased the book \"\"The Culture Map\"\" from Amazon Kindle\",2019-03-23T05:02:00\nbooks_33,\"I purchased the book \"\"War and Peace\"\" from Amazon Kindle\",\"I purchased the book \"\"War and Peace\"\" from Amazon Kindle\",2019-03-14T16:26:00\nbooks_34,\"I purchased the book \"\"Neuromancer\"\" from Amazon Kindle\",\"I purchased the book \"\"Neuromancer\"\" from Amazon Kindle\",2019-03-14T16:22:00\nbooks_35,\"I purchased the book \"\"Horse\"\" from Amazon Kindle\",\"I purchased the book \"\"Horse\"\" from Amazon Kindle\",2019-03-03T23:17:00\nbooks_36,\"I purchased the book \"\"Exhalation\"\" from Amazon Kindle\",\"I purchased the book \"\"Exhalation\"\" from Amazon Kindle\",2019-03-03T23:16:00\nbooks_37,\"I purchased the book \"\"Neuromancer\"\" from Amazon Kindle\",\"I purchased the book \"\"Neuromancer\"\" from Amazon Kindle\",2019-04-30T16:51:00\nbooks_38,\"I purchased the book \"\"Exhalation\"\" from Amazon Kindle\",\"I purchased the book \"\"Exhalation\"\" from Amazon Kindle\",2019-04-28T04:25:00\nbooks_39,\"I purchased the book \"\"Give and Take\"\" from Amazon Kindle\",\"I purchased the book \"\"Give and Take\"\" from Amazon Kindle\",2019-04-27T13:27:00\nbooks_40,\"I purchased the book \"\"Hallucinations\"\" from Amazon Kindle\",\"I purchased the book \"\"Hallucinations\"\" from Amazon Kindle\",2019-04-18T11:22:00\nbooks_41,\"I purchased the book \"\"Horse\"\" from Amazon Kindle\",\"I purchased the book \"\"Horse\"\" from Amazon Kindle\",2019-04-16T00:11:00\nbooks_42,\"I purchased the book \"\"Think Again\"\" from Amazon Kindle\",\"I purchased the book \"\"Think Again\"\" from Amazon Kindle\",2019-04-13T23:11:00\nbooks_43,\"I purchased the book \"\"Give and Take\"\" from Amazon Kindle\",\"I purchased the book \"\"Give and Take\"\" from Amazon Kindle\",2019-04-10T02:24:00\nbooks_44,\"I purchased the book \"\"Into the Magic Shop\"\" from Amazon Kindle\",\"I purchased the book \"\"Into the Magic Shop\"\" from Amazon Kindle\",2019-04-10T02:23:00\nbooks_45,\"I purchased the book \"\"Good Anxiety\"\" from Amazon Kindle\",\"I purchased the book \"\"Good Anxiety\"\" from Amazon Kindle\",2019-04-06T14:35:00\nbooks_46,\"I purchased the book \"\"Hallucinations\"\" from Amazon Kindle\",\"I purchased the book \"\"Hallucinations\"\" from Amazon Kindle\",2019-04-05T23:52:00\nbooks_47,\"I purchased the book \"\"Think Again\"\" from Amazon Kindle\",\"I purchased the book \"\"Think Again\"\" from Amazon Kindle\",2019-04-05T23:51:00\nbooks_48,\"I purchased the book \"\"Neuromancer\"\" from Amazon Kindle\",\"I purchased the book \"\"Neuromancer\"\" from Amazon Kindle\",2019-04-04T03:49:00\nbooks_49,\"I purchased the book \"\"Into the Magic Shop\"\" from Amazon Kindle\",\"I purchased the book \"\"Into the Magic Shop\"\" from Amazon Kindle\",2019-04-03T20:17:00\nbooks_50,\"I purchased the book \"\"Healthy Brain, Happy Life\"\" from Amazon Kindle\",\"I purchased the book \"\"Healthy Brain, Happy Life\"\" from Amazon Kindle\",2019-04-03T04:23:00\nbooks_51,\"I purchased the book \"\"Good Anxiety\"\" from Amazon Kindle\",\"I purchased the book \"\"Good Anxiety\"\" from Amazon Kindle\",2019-04-03T04:23:00\nbooks_52,\"I purchased the book \"\"Year of Wonders\"\" from Amazon Kindle\",\"I purchased the book \"\"Year of Wonders\"\" from Amazon Kindle\",2019-03-29T20:50:00\nbooks_53,\"I purchased the book \"\"Healthy Brain, Happy Life\"\" from Amazon Kindle\",\"I purchased the book \"\"Healthy Brain, Happy Life\"\" from Amazon Kindle\",2019-03-28T04:08:00\nbooks_54,\"I purchased the book \"\"Year of Wonders\"\" from Amazon Kindle\",\"I purchased the book \"\"Year of Wonders\"\" from Amazon Kindle\",2019-03-24T20:24:00\nbooks_55,\"I purchased the book \"\"Horse\"\" from Amazon Kindle\",\"I purchased the book \"\"Horse\"\" from Amazon Kindle\",2019-03-24T20:22:00\nbooks_56,\"I purchased the book \"\"Hallucinations\"\" from Amazon Kindle\",\"I purchased the book \"\"Hallucinations\"\" from Amazon Kindle\",2019-03-24T20:19:00\nbooks_57,\"I purchased the book \"\"The River of Consciousness\"\" from Amazon Kindle\",\"I purchased the book \"\"The River of Consciousness\"\" from Amazon Kindle\",2019-03-24T20:15:00\nbooks_58,\"I purchased the book \"\"The River of Consciousness\"\" from Amazon Kindle\",\"I purchased the book \"\"The River of Consciousness\"\" from Amazon Kindle\",2019-03-23T14:26:00\nbooks_59,\"I purchased the book \"\"Originals\"\" from Amazon Kindle\",\"I purchased the book \"\"Originals\"\" from Amazon Kindle\",2019-03-23T14:25:00\nbooks_60,\"I purchased the book \"\"The River of Consciousness\"\" from Amazon Kindle\",\"I purchased the book \"\"The River of Consciousness\"\" from Amazon Kindle\",2019-03-23T14:24:00\nbooks_61,\"I purchased the book \"\"The River of Consciousness\"\" from Amazon Kindle\",\"I purchased the book \"\"The River of Consciousness\"\" from Amazon Kindle\",2019-03-23T14:23:00\nbooks_62,\"I purchased the book \"\"Originals\"\" from Amazon Kindle\",\"I purchased the book \"\"Originals\"\" from Amazon Kindle\",2019-03-20T23:47:00\nbooks_63,\"I purchased the book \"\"Give and Take\"\" from Amazon Kindle\",\"I purchased the book \"\"Give and Take\"\" from Amazon Kindle\",2019-03-20T23:46:00\nbooks_64,\"I purchased the book \"\"Think Again\"\" from Amazon Kindle\",\"I purchased the book \"\"Think Again\"\" from Amazon Kindle\",2019-03-20T23:46:00\nbooks_65,\"I purchased the book \"\"Stories of Your Life and Others\"\" from Amazon Kindle\",\"I purchased the book \"\"Stories of Your Life and Others\"\" from Amazon Kindle\",2019-03-20T00:21:00\nbooks_66,\"I purchased the book \"\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\"\" from Amazon Kindle\",\"I purchased the book \"\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\"\" from Amazon Kindle\",2019-03-20T00:20:00\nbooks_67,\"I purchased the book \"\"Stories of Your Life and Others\"\" from Amazon Kindle\",\"I purchased the book \"\"Stories of Your Life and Others\"\" from Amazon Kindle\",2019-03-16T22:10:00\nbooks_68,\"I purchased the book \"\"Einstein\"\" from Amazon Kindle\",\"I purchased the book \"\"Einstein\"\" from Amazon Kindle\",2019-03-16T22:09:00\nbooks_69,\"I purchased the book \"\"How to Win Friends & Influence People in the Digital Age\"\" from Amazon Kindle\",\"I purchased the book \"\"How to Win Friends & Influence People in the Digital Age\"\" from Amazon Kindle\",2019-03-11T15:40:00\nbooks_70,\"I purchased the book \"\"The Culture Map\"\" from Amazon Kindle\",\"I purchased the book \"\"The Culture Map\"\" from Amazon Kindle\",2019-03-11T00:07:00\nbooks_71,\"I purchased the book \"\"Einstein\"\" from Amazon Kindle\",\"I purchased the book \"\"Einstein\"\" from Amazon Kindle\",2019-03-05T17:07:00\nbooks_72,\"I purchased the book \"\"1491\"\" from Amazon Kindle\",\"I purchased the book \"\"1491\"\" from Amazon Kindle\",2019-03-05T17:04:00\nbooks_73,\"I purchased the book \"\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\"\" from Amazon Kindle\",\"I purchased the book \"\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\"\" from Amazon Kindle\",2019-03-05T09:45:00\nbooks_74,\"I purchased the book \"\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\"\" from Amazon Kindle\",\"I purchased the book \"\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\"\" from Amazon Kindle\",2019-04-29T18:04:00\nbooks_75,\"I purchased the book \"\"The Psychology of Money\"\" from Amazon Kindle\",\"I purchased the book \"\"The Psychology of Money\"\" from Amazon Kindle\",2019-04-27T03:18:00\nbooks_76,\"I purchased the book \"\"1491\"\" from Amazon Kindle\",\"I purchased the book \"\"1491\"\" from Amazon Kindle\",2019-04-26T00:41:00\nbooks_77,\"I purchased the book \"\"The Boys\"\" from Amazon Kindle\",\"I purchased the book \"\"The Boys\"\" from Amazon Kindle\",2019-04-25T14:39:00\nbooks_78,\"I purchased the book \"\"The Boys\"\" from Amazon Kindle\",\"I purchased the book \"\"The Boys\"\" from Amazon Kindle\",2019-04-22T17:47:00\nbooks_79,\"I purchased the book \"\"How to Win Friends & Influence People in the Digital Age\"\" from Amazon Kindle\",\"I purchased the book \"\"How to Win Friends & Influence People in the Digital Age\"\" from Amazon Kindle\",2019-04-21T15:40:00\nbooks_80,\"I purchased the book \"\"How the World Really Works\"\" from Amazon Kindle\",\"I purchased the book \"\"How the World Really Works\"\" from Amazon Kindle\",2019-04-20T22:06:00\nbooks_81,\"I purchased the book \"\"From Strength to Strength\"\" from Amazon Kindle\",\"I purchased the book \"\"From Strength to Strength\"\" from Amazon Kindle\",2019-04-18T03:50:00\nbooks_82,\"I purchased the book \"\"How the World Really Works\"\" from Amazon Kindle\",\"I purchased the book \"\"How the World Really Works\"\" from Amazon Kindle\",2019-04-14T17:30:00\nbooks_83,\"I purchased the book \"\"1491\"\" from Amazon Kindle\",\"I purchased the book \"\"1491\"\" from Amazon Kindle\",2019-04-07T23:17:00\nbooks_84,\"I purchased the book \"\"The Boys\"\" from Amazon Kindle\",\"I purchased the book \"\"The Boys\"\" from Amazon Kindle\",2019-04-03T20:41:00\nbooks_85,\"I purchased the book \"\"The Devil's Star\"\" from Amazon Kindle\",\"I purchased the book \"\"The Devil's Star\"\" from Amazon Kindle\",2019-03-28T17:36:00\nbooks_86,\"I purchased the book \"\"The Bitcoin Standard\"\" from Amazon Kindle\",\"I purchased the book \"\"The Bitcoin Standard\"\" from Amazon Kindle\",2019-03-24T22:41:00\nbooks_87,\"I purchased the book \"\"The Devil's Star\"\" from Amazon Kindle\",\"I purchased the book \"\"The Devil's Star\"\" from Amazon Kindle\",2019-03-07T17:36:00\nbooks_88,\"I purchased the book \"\"Mating in Captivity\"\" from Amazon Kindle\",\"I purchased the book \"\"Mating in Captivity\"\" from Amazon Kindle\",2019-03-06T03:51:00\nbooks_89,\"I purchased the book \"\"How the World Really Works\"\" from Amazon Kindle\",\"I purchased the book \"\"How the World Really Works\"\" from Amazon Kindle\",2019-03-06T03:05:00\nbooks_90,\"I purchased the book \"\"The Lincoln Highway\"\" from Amazon Kindle\",\"I purchased the book \"\"The Lincoln Highway\"\" from Amazon Kindle\",2019-03-06T03:04:00\nbooks_91,\"I purchased the book \"\"The Three-Body Problem\"\" from Amazon Kindle\",\"I purchased the book \"\"The Three-Body Problem\"\" from Amazon Kindle\",2019-03-04T03:07:00\nbooks_92,\"I purchased the book \"\"Mating in Captivity\"\" from Amazon Kindle\",\"I purchased the book \"\"Mating in Captivity\"\" from Amazon Kindle\",2019-03-04T03:07:00\nbooks_93,\"I purchased the book \"\"The Culture Map\"\" from Amazon Kindle\",\"I purchased the book \"\"The Culture Map\"\" from Amazon Kindle\",2019-03-04T03:06:00\nbooks_94,\"I purchased the book \"\"The Bitcoin Standard\"\" from Amazon Kindle\",\"I purchased the book \"\"The Bitcoin Standard\"\" from Amazon Kindle\",2019-03-03T22:41:00\nbooks_95,\"I purchased the book \"\"The Three-Body Problem\"\" from Amazon Kindle\",\"I purchased the book \"\"The Three-Body Problem\"\" from Amazon Kindle\",2019-04-21T19:17:00\nbooks_96,\"I purchased the book \"\"The Ministry for the Future\"\" from Amazon Kindle\",\"I purchased the book \"\"The Ministry for the Future\"\" from Amazon Kindle\",2019-04-05T18:59:00\nbooks_97,\"I purchased the book \"\"Benjamin Franklin\"\" from Amazon Kindle\",\"I purchased the book \"\"Benjamin Franklin\"\" from Amazon Kindle\",2019-03-28T21:42:00\nbooks_98,\"I purchased the book \"\"The Curious Case of Benjamin Button and Other Jazz Age Tales\"\" from Amazon Kindle\",\"I purchased the book \"\"The Curious Case of Benjamin Button and Other Jazz Age Tales\"\" from Amazon Kindle\",2019-03-18T23:42:00\nbooks_99,\"I purchased the book \"\"The House of the Spirits\"\" from Amazon Kindle\",\"I purchased the book \"\"The House of the Spirits\"\" from Amazon Kindle\",2019-03-18T23:41:00\nbooks_100,\"I purchased the book \"\"The Ministry for the Future\"\" from Amazon Kindle\",\"I purchased the book \"\"The Ministry for the Future\"\" from Amazon Kindle\",2019-03-15T18:59:00\nbooks_101,\"I purchased the book \"\"The Body\"\" from Amazon Kindle\",\"I purchased the book \"\"The Body\"\" from Amazon Kindle\",2019-03-08T17:18:00\nbooks_102,\"I purchased the book \"\"Benjamin Franklin\"\" from Amazon Kindle\",\"I purchased the book \"\"Benjamin Franklin\"\" from Amazon Kindle\",2019-03-07T21:42:00\nbooks_103,\"I purchased the book \"\"The Curious Case of Benjamin Button and Other Jazz Age Tales\"\" from Amazon Kindle\",\"I purchased the book \"\"The Curious Case of Benjamin Button and Other Jazz Age Tales\"\" from Amazon Kindle\",2019-04-27T23:42:00\nbooks_104,\"I purchased the book \"\"The House of the Spirits\"\" from Amazon Kindle\",\"I purchased the book \"\"The House of the Spirits\"\" from Amazon Kindle\",2019-04-27T23:41:00\nbooks_105,\"I purchased the book \"\"The Ministry for the Future\"\" from Amazon Kindle\",\"I purchased the book \"\"The Ministry for the Future\"\" from Amazon Kindle\",2019-04-24T22:57:00\nbooks_106,\"I purchased the book \"\"Leonardo da Vinci\"\" from Amazon Kindle\",\"I purchased the book \"\"Leonardo da Vinci\"\" from Amazon Kindle\",2019-04-24T18:43:00\nbooks_107,\"I purchased the book \"\"The Body\"\" from Amazon Kindle\",\"I purchased the book \"\"The Body\"\" from Amazon Kindle\",2019-04-17T17:18:00\nbooks_108,\"I purchased the book \"\"Benjamin Franklin\"\" from Amazon Kindle\",\"I purchased the book \"\"Benjamin Franklin\"\" from Amazon Kindle\",2019-04-17T17:16:00\nbooks_109,\"I purchased the book \"\"Leonardo da Vinci\"\" from Amazon Kindle\",\"I purchased the book \"\"Leonardo da Vinci\"\" from Amazon Kindle\",2019-04-03T18:43:00\nbooks_111,\"I purchased the book \"\"A Thousand Brains: A New Theory of Intelligence\"\" from Amazon Kindle\",\"I purchased the book \"\"A Thousand Brains: A New Theory of Intelligence\"\" from Amazon Kindle\",2019-04-28T16:51:51\nbooks_112,\"I purchased the book \"\"50 Greatest Positive Psychology Quotes: A Beautiful Photo Book of The Most Inspiring Positive Psychological Quotes\"\" from Amazon Kindle\",\"I purchased the book \"\"50 Greatest Positive Psychology Quotes: A Beautiful Photo Book of The Most Inspiring Positive Psychological Quotes\"\" from Amazon Kindle\",2019-04-20T16:51:51\nbooks_113,\"I purchased the book \"\"Before the Coffee Gets Cold: A Novel (Before the Coffee Gets Cold Series Book 1)\"\" from Amazon Kindle\",\"I purchased the book \"\"Before the Coffee Gets Cold: A Novel (Before the Coffee Gets Cold Series Book 1)\"\" from Amazon Kindle\",2019-03-27T16:51:51\nbooks_114,\"I purchased the book \"\"The Enigma of Reason\"\" from Amazon Kindle\",\"I purchased the book \"\"The Enigma of Reason\"\" from Amazon Kindle\",2019-03-24T16:51:51\nbooks_115,\"I purchased the book \"\"Snow Crash: A Novel\"\" from Amazon Kindle\",\"I purchased the book \"\"Snow Crash: A Novel\"\" from Amazon Kindle\",2019-03-12T16:51:51\nbooks_267,\"I purchased the book \"\"The Innovators\"\" from Amazon Kindle\",\"I purchased the book \"\"The Innovators\"\" from Amazon Kindle\",2019-03-08T16:51:51\nbooks_268,\"I purchased the book \"\"Life 3.0\"\" from Amazon Kindle\",\"I purchased the book \"\"Life 3.0\"\" from Amazon Kindle\",2019-03-08T16:51:51\nbooks_269,\"I purchased the book \"\"Total Recall\"\" from Amazon Kindle\",\"I purchased the book \"\"Total Recall\"\" from Amazon Kindle\",2019-03-17T16:51:51\nbooks_270,\"I purchased the book \"\"Discovery Trial\"\" from Amazon Kindle\",\"I purchased the book \"\"Discovery Trial\"\" from Amazon Kindle\",2019-04-28T16:51:51\nexercise_35,I exercised by 08:00: running 39 minutes ,I exercised by 08:00: running 39 minutes ,2019-03-02 08:00:34-08:00\nexercise_36,I exercised by 06:55: running 25 minutes ,I exercised by 06:55: running 25 minutes ,2019-03-05 06:55:11-08:00\nexercise_37,I exercised by 08:32: running 40 minutes ,I exercised by 08:32: running 40 minutes ,2019-03-07 08:32:33-08:00\nexercise_38,I exercised by 07:27: running 51 minutes ,I exercised by 07:27: running 51 minutes ,2019-03-09 07:27:37-08:00\nexercise_39,I exercised by 06:49: running 52 minutes ,I exercised by 06:49: running 52 minutes ,2019-03-11 06:49:09-07:00\nexercise_40,I exercised by 07:22: running 40 minutes ,I exercised by 07:22: running 40 minutes ,2019-03-13 07:22:20-07:00\nexercise_41,I exercised by 06:31: running 59 minutes ,I exercised by 06:31: running 59 minutes ,2019-03-15 06:31:18-07:00\nexercise_42,I exercised by 07:11: running 27 minutes ,I exercised by 07:11: running 27 minutes ,2019-03-17 07:11:09-07:00\nexercise_43,I exercised by 05:29: running 27 minutes ,I exercised by 05:29: running 27 minutes ,2019-03-18 05:29:42-07:00\nexercise_44,I exercised by 06:34: running 54 minutes ,I exercised by 06:34: running 54 minutes ,2019-03-19 06:34:16-07:00\nexercise_45,I exercised by 07:19: running 43 minutes ,I exercised by 07:19: running 43 minutes ,2019-03-21 07:19:26-07:00\nexercise_46,I exercised by 09:49: running 51 minutes ,I exercised by 09:49: running 51 minutes ,2019-03-23 09:49:54-07:00\nexercise_47,I exercised by 06:57: running 25 minutes ,I exercised by 06:57: running 25 minutes ,2019-03-25 06:57:57-07:00\nexercise_48,I exercised by 13:16: running 25 minutes ,I exercised by 13:16: running 25 minutes ,2019-03-26 13:16:14-07:00\nexercise_49,I exercised by 14:32: running 25 minutes ,I exercised by 14:32: running 25 minutes ,2019-03-28 14:32:20-07:00\nexercise_50,I exercised by 14:03: running 26 minutes ,I exercised by 14:03: running 26 minutes ,2019-03-29 14:03:32-07:00\nexercise_51,I exercised by 15:42: running 24 minutes ,I exercised by 15:42: running 24 minutes ,2019-03-30 15:42:25-07:00\nexercise_52,I exercised by 06:48: running 24 minutes ,I exercised by 06:48: running 24 minutes ,2019-04-01 06:48:07+08:00\nexercise_53,I exercised by 00:32: running 41 minutes ,I exercised by 00:32: running 41 minutes ,2019-04-04 00:32:10+08:00\nexercise_54,I exercised by 06:15: running 40 minutes ,I exercised by 06:15: running 40 minutes ,2019-04-05 06:15:21-07:00\nexercise_55,I exercised by 06:38: running 51 minutes ,I exercised by 06:38: running 51 minutes ,2019-04-07 06:38:31-07:00\nexercise_56,I exercised by 06:27: running 39 minutes ,I exercised by 06:27: running 39 minutes ,2019-04-08 06:27:28-07:00\nexercise_57,I exercised by 15:25: running 24 minutes ,I exercised by 15:25: running 24 minutes ,2019-04-10 15:25:29-07:00\nexercise_58,I exercised by 07:25: running 112 minutes ,I exercised by 07:25: running 112 minutes ,2019-04-12 07:25:13-07:00\nexercise_59,I exercised by 05:57: running 26 minutes ,I exercised by 05:57: running 26 minutes ,2019-04-15 05:57:30-07:00\nexercise_60,I exercised by 05:18: running 27 minutes ,I exercised by 05:18: running 27 minutes ,2019-04-16 05:18:50-07:00\nexercise_61,I exercised by 05:12: running 25 minutes ,I exercised by 05:12: running 25 minutes ,2019-04-18 05:12:15-07:00\nexercise_62,I exercised by 05:58: running 25 minutes ,I exercised by 05:58: running 25 minutes ,2019-04-19 05:58:01-07:00\nexercise_63,I exercised by 11:14: running 41 minutes ,I exercised by 11:14: running 41 minutes ,2019-04-21 11:14:15-07:00\nexercise_64,I exercised by 07:56: running 41 minutes ,I exercised by 07:56: running 41 minutes ,2019-04-23 07:56:33-07:00\nexercise_65,I exercised by 07:27: walking 28 minutes ,I exercised by 07:27: walking 28 minutes ,2019-04-24 07:27:16-07:00\nexercise_66,I exercised by 08:43: running 52 minutes ,I exercised by 08:43: running 52 minutes ,2019-04-29 08:43:36-07:00\nphotos_0,\"I took a photo of Performance at the performance arena  (\"\"Taking the stage.\"\") \",\"I took a photo of Performance at the performance arena  (\"\"Taking the stage.\"\") \",2019-04-18 00:01:26+00:00\nphotos_1,I took a photo of Egg tart at the shop bakery  (Freshly-baked egg tarts!) ,I took a photo of Egg tart at the shop bakery  (Freshly-baked egg tarts!) ,2019-03-31 06:58:44+00:00\nphotos_2,\"I took a photo of Very large floating structure at the conference center  (\"\"A sea of possibilities.\"\") \",\"I took a photo of Very large floating structure at the conference center  (\"\"A sea of possibilities.\"\") \",2019-04-15 14:58:30+00:00\nphotos_3,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 15:57:11+00:00\nphotos_4,\"I took a photo of Receipt at the clothing store of \"\"Texas Home on Greg Street\"\" (\"\"New outfit, here I come!\"\") \",\"I took a photo of Receipt at the clothing store of \"\"Texas Home on Greg Street\"\" (\"\"New outfit, here I come!\"\") \",2019-03-03 07:41:47-08:00\nphotos_5,\"I took a photo of Receipt at the bookstore of \"\"Texas Home on Greg Street\"\" (\"\"Booked and paid!\"\") \",\"I took a photo of Receipt at the bookstore of \"\"Texas Home on Greg Street\"\" (\"\"Booked and paid!\"\") \",2019-03-03 07:42:11-08:00\nphotos_6,\"I took a photo of Prescription drug at the pharmacy of \"\"Texas Home on Greg Street\"\" (\"\"Filling a prescription.\"\") \",\"I took a photo of Prescription drug at the pharmacy of \"\"Texas Home on Greg Street\"\" (\"\"Filling a prescription.\"\") \",2019-03-03 07:42:35-08:00\nphotos_7,\"I took a photo of Boy scouts of america at the recreation room of Biking in Randall County, Texas (\"\"Exploring new possibilities.\"\") \",\"I took a photo of Boy scouts of america at the recreation room of Biking in Randall County, Texas (\"\"Exploring new possibilities.\"\") \",2019-03-05 19:36:00-08:00\nphotos_8,\"I took a photo of Real estate at the residential neighborhood of \"\"Texas Home on Greg Street\"\" (\"\"A Home for Every Family\"\") \",\"I took a photo of Real estate at the residential neighborhood of \"\"Texas Home on Greg Street\"\" (\"\"A Home for Every Family\"\") \",2019-03-06 19:46:40-08:00\nphotos_9,\"I took a photo of Hangikjöt at the sauna  (\"\"A traditional Icelandic treat in a cozy setting.\"\") \",\"I took a photo of Hangikjöt at the sauna  (\"\"A traditional Icelandic treat in a cozy setting.\"\") \",2019-03-11 16:27:43+00:00\nphotos_10,\"I took a photo of Auditorium at the auditorium of Helium Road, Texas (\"\"A full house.\"\") \",\"I took a photo of Auditorium at the auditorium of Helium Road, Texas (\"\"A full house.\"\") \",2019-03-18 09:20:41-07:00\nphotos_11,\"I took a photo of Academic conference at the conference center of Helium Road, Texas (\"\"Exploring new ideas at the conference.\"\") \",\"I took a photo of Academic conference at the conference center of Helium Road, Texas (\"\"Exploring new ideas at the conference.\"\") \",2019-03-18 09:31:03-07:00\nphotos_12,\"I took a photo of Presentation at the lecture room of Helium Road, Texas (\"\"Sharing knowledge.\"\") \",\"I took a photo of Presentation at the lecture room of Helium Road, Texas (\"\"Sharing knowledge.\"\") \",2019-03-18 10:43:51-07:00\nphotos_13,\"I took a photo of Presentation at the lecture room of Helium Road, Texas (\"\"Sharing knowledge.\"\") \",\"I took a photo of Presentation at the lecture room of Helium Road, Texas (\"\"Sharing knowledge.\"\") \",2019-03-18 10:44:49-07:00\nphotos_14,\"I took a photo of Academic conference at the reception of Helium Road, Texas (\"\"Gathering to learn and share knowledge.\"\") \",\"I took a photo of Academic conference at the reception of Helium Road, Texas (\"\"Gathering to learn and share knowledge.\"\") \",2019-03-18 13:00:08-07:00\nphotos_15,\"I took a photo of Hospital at the hospital of Helium Road, Texas (\"\"Healing begins here.\"\") \",\"I took a photo of Hospital at the hospital of Helium Road, Texas (\"\"Healing begins here.\"\") \",2019-03-18 15:52:33-07:00\nphotos_16,\"I took a photo of Academic conference at the conference room of Helium Road, Texas (Academic minds come together.) \",\"I took a photo of Academic conference at the conference room of Helium Road, Texas (Academic minds come together.) \",2019-03-18 16:05:51-07:00\nphotos_17,\"I took a photo of Invoice at the jail cell of \"\"Texas Home on Greg Street\"\" (\"\"Incarcerated.\"\") \",\"I took a photo of Invoice at the jail cell of \"\"Texas Home on Greg Street\"\" (\"\"Incarcerated.\"\") \",2019-03-19 12:32:09-07:00\nphotos_18,\"I took a photo of Shopping list at the supermarket of Exploring Randall County, Texas (Grocery shopping time!) \",\"I took a photo of Shopping list at the supermarket of Exploring Randall County, Texas (Grocery shopping time!) \",2019-03-22 19:06:44-07:00\nphotos_19,\"I took a photo of Camp at the campsite of Exploring Castro County, Texas (Exploring nature.) \",\"I took a photo of Camp at the campsite of Exploring Castro County, Texas (Exploring nature.) \",2019-03-23 09:36:05-07:00\nphotos_20,\"I took a photo of Academic certificate at the archive of Exploring Seoul National University (\"\"Achievement Recognized\"\") \",\"I took a photo of Academic certificate at the archive of Exploring Seoul National University (\"\"Achievement Recognized\"\") \",2019-03-27 11:42:43+09:00\nphotos_21,\"I took a photo of Academic certificate at the office of Exploring Seoul National University (\"\"Achievement Recognized\"\") \",\"I took a photo of Academic certificate at the office of Exploring Seoul National University (\"\"Achievement Recognized\"\") \",2019-03-27 11:42:50+09:00\nphotos_22,\"I took a photo of Academic conference at the conference center of Exploring Seoul National University (\"\"Exploring new ideas at the conference.\"\") \",\"I took a photo of Academic conference at the conference center of Exploring Seoul National University (\"\"Exploring new ideas at the conference.\"\") \",2019-03-27 13:45:36+09:00\nphotos_23,\"I took a photo of University at the conference center of Exploring Seoul National University (\"\"Uniting for success.\"\") \",\"I took a photo of University at the conference center of Exploring Seoul National University (\"\"Uniting for success.\"\") \",2019-03-27 13:45:47+09:00\nphotos_24,\"I took a photo of University at the campus of Exploring Seoul National University (\"\"Exploring the University Campus\"\") \",\"I took a photo of University at the campus of Exploring Seoul National University (\"\"Exploring the University Campus\"\") \",2019-03-27 13:45:47+09:00\nphotos_25,I took a photo of Fish products at the fishpond of Exploring Seoul's Seocho-gu (Fresh Fish Catch!) ,I took a photo of Fish products at the fishpond of Exploring Seoul's Seocho-gu (Fresh Fish Catch!) ,2019-03-27 18:36:03+09:00\nphotos_26,I took a photo of Airport at the airport terminal of Incheon Int'l Airport Terminal 1 (Traveling the world.) ,I took a photo of Airport at the airport terminal of Incheon Int'l Airport Terminal 1 (Traveling the world.) ,2019-03-28 06:38:09+09:00\nphotos_27,\"I took a photo of Toyota voltz at the industrial area  (\"\"Powering the industrial future.\"\") \",\"I took a photo of Toyota voltz at the industrial area  (\"\"Powering the industrial future.\"\") \",2019-03-28 04:34:33+00:00\nphotos_28,I took a photo of Tsukudani at the restaurant of Roppongi's Asahi Shokudo (Tasty Tsukudani!) ,I took a photo of Tsukudani at the restaurant of Roppongi's Asahi Shokudo (Tasty Tsukudani!) ,2019-03-28 20:38:13+09:00\nphotos_29,I took a photo of Nabemono at the sushi bar of Roppongi's Asahi Shokudo (Enjoying a hot pot of Nabemono.) ,I took a photo of Nabemono at the sushi bar of Roppongi's Asahi Shokudo (Enjoying a hot pot of Nabemono.) ,2019-03-28 20:47:46+09:00\nphotos_30,\"I took a photo of Ainu cuisine at the restaurant of Roppongi's Asahi Shokudo (\"\"Delicious Ainu cuisine!\"\") \",\"I took a photo of Ainu cuisine at the restaurant of Roppongi's Asahi Shokudo (\"\"Delicious Ainu cuisine!\"\") \",2019-03-28 21:36:34+09:00\nphotos_31,I took a photo of Sashimi at the sushi bar of Roppongi's Asahi Shokudo (Freshly-sliced sashimi.) ,I took a photo of Sashimi at the sushi bar of Roppongi's Asahi Shokudo (Freshly-sliced sashimi.) ,2019-03-28 23:25:42+09:00\nphotos_32,\"I took a photo of Quince dessert at the sushi bar of Roppongi's Asahi Shokudo (\"\"A sweet treat!\"\") \",\"I took a photo of Quince dessert at the sushi bar of Roppongi's Asahi Shokudo (\"\"A sweet treat!\"\") \",2019-03-28 23:25:52+09:00\nphotos_33,\"I took a photo of Muesli at the cafeteria of Grand Hyatt Tokyo (\"\"A healthy start to the day!\"\") \",\"I took a photo of Muesli at the cafeteria of Grand Hyatt Tokyo (\"\"A healthy start to the day!\"\") \",2019-03-29 09:12:12+09:00\nphotos_34,\"I took a photo of Taishōgoto at the asia temple of Moto-Azabu, Tokyo (\"\"A traditional Japanese instrument.\"\") \",\"I took a photo of Taishōgoto at the asia temple of Moto-Azabu, Tokyo (\"\"A traditional Japanese instrument.\"\") \",2019-03-29 10:08:09+09:00\nphotos_35,\"I took a photo of Cherry blossom at the street of Aiiku Hospital in Tokyo (\"\"Spring beauty.\"\") \",\"I took a photo of Cherry blossom at the street of Aiiku Hospital in Tokyo (\"\"Spring beauty.\"\") \",2019-03-29 10:13:09+09:00\nphotos_36,\"I took a photo of Koinobori at the urban canal of Exploring Naka-Meguro, Tokyo (Celebrating Children's Day in the city.) \",\"I took a photo of Koinobori at the urban canal of Exploring Naka-Meguro, Tokyo (Celebrating Children's Day in the city.) \",2019-03-29 10:53:41+09:00\nphotos_37,\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\"\"Urban beauty.\"\") \",\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\"\"Urban beauty.\"\") \",2019-03-29 10:54:16+09:00\nphotos_38,\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\"\"Urban beauty.\"\") \",\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\"\"Urban beauty.\"\") \",2019-03-29 10:54:15+09:00\nphotos_39,\"I took a photo of Koinobori at the urban canal of Exploring Naka-Meguro, Tokyo (Celebrating Children's Day in the city.) \",\"I took a photo of Koinobori at the urban canal of Exploring Naka-Meguro, Tokyo (Celebrating Children's Day in the city.) \",2019-03-29 10:54:51+09:00\nphotos_40,\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\"\"Urban beauty.\"\") \",\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\"\"Urban beauty.\"\") \",2019-03-29 10:54:59+09:00\nphotos_41,\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\"\"Urban beauty.\"\") \",\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\"\"Urban beauty.\"\") \",2019-03-29 10:56:04+09:00\nphotos_42,\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\"\"Urban beauty.\"\") \",\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\"\"Urban beauty.\"\") \",2019-03-29 10:56:37+09:00\nphotos_43,\"I took a photo of Gate at the asia temple of University of Tokyo, Tokyo (\"\"Ancient Temple Gate\"\") \",\"I took a photo of Gate at the asia temple of University of Tokyo, Tokyo (\"\"Ancient Temple Gate\"\") \",2019-03-29 12:28:58+09:00\nphotos_44,\"I took a photo of Cherry blossom at the plaza of Tokyo's Shibadaimon (\"\"Spring in the city.\"\") \",\"I took a photo of Cherry blossom at the plaza of Tokyo's Shibadaimon (\"\"Spring in the city.\"\") \",2019-03-29 16:15:45+09:00\nphotos_45,\"I took a photo of Yoga at the tower of Tokyo's Shibakoen (\"\"Finding balance.\"\") \",\"I took a photo of Yoga at the tower of Tokyo's Shibakoen (\"\"Finding balance.\"\") \",2019-03-29 16:23:59+09:00\nphotos_46,I took a photo of Picnic at the picnic area of Tokyo's Shibakoen (Enjoying a picnic in the park.) ,I took a photo of Picnic at the picnic area of Tokyo's Shibakoen (Enjoying a picnic in the park.) ,2019-03-29 16:24:07+09:00\nphotos_47,\"I took a photo of Cherry blossom at the tower of Tokyo's Shiba Junior & Senior High School (\"\"A touch of spring.\"\") \",\"I took a photo of Cherry blossom at the tower of Tokyo's Shiba Junior & Senior High School (\"\"A touch of spring.\"\") \",2019-03-29 16:24:56+09:00\nphotos_48,\"I took a photo of Cherry blossom at the tower of Tokyo's Shibakoen (\"\"A touch of spring.\"\") \",\"I took a photo of Cherry blossom at the tower of Tokyo's Shibakoen (\"\"A touch of spring.\"\") \",2019-03-29 16:25:06+09:00\nphotos_49,\"I took a photo of Cherry blossom at the tower of Tokyo Prince Hotel (\"\"A touch of spring.\"\") \",\"I took a photo of Cherry blossom at the tower of Tokyo Prince Hotel (\"\"A touch of spring.\"\") \",2019-03-29 16:26:16+09:00\nphotos_50,I took a photo of Katsuobushi at the restaurant of Exploring Roppongi Hills (Freshly shaved Katsuobushi.) ,I took a photo of Katsuobushi at the restaurant of Exploring Roppongi Hills (Freshly shaved Katsuobushi.) ,2019-03-29 18:25:08+09:00\nphotos_51,\"I took a photo of Dining room at the conference room of Exploring Roppongi Hills (\"\"A place to gather and share ideas.\"\") \",\"I took a photo of Dining room at the conference room of Exploring Roppongi Hills (\"\"A place to gather and share ideas.\"\") \",2019-03-29 18:25:24+09:00\nphotos_52,\"I took a photo of Anago at the sushi bar of Exploring Roppongi Hills (\"\"Freshly made Anago sushi!\"\") \",\"I took a photo of Anago at the sushi bar of Exploring Roppongi Hills (\"\"Freshly made Anago sushi!\"\") \",2019-03-29 18:26:53+09:00\nphotos_53,I took a photo of Katsuobushi at the restaurant of Exploring Roppongi Hills (Freshly shaved Katsuobushi.) ,I took a photo of Katsuobushi at the restaurant of Exploring Roppongi Hills (Freshly shaved Katsuobushi.) ,2019-03-29 18:27:16+09:00\nphotos_54,\"I took a photo of Osechi at the sushi bar of Exploring Roppongi Hills, Tokyo (Freshly prepared osechi sushi.) \",\"I took a photo of Osechi at the sushi bar of Exploring Roppongi Hills, Tokyo (Freshly prepared osechi sushi.) \",2019-03-29 19:20:53+09:00\nphotos_55,\"I took a photo of Taro cake at the restaurant of Exploring Roppongi Hills, Tokyo (Delicious Taro Cake!) \",\"I took a photo of Taro cake at the restaurant of Exploring Roppongi Hills, Tokyo (Delicious Taro Cake!) \",2019-03-29 21:28:05+09:00\nphotos_56,\"I took a photo of Aircraft cabin at the airplane cabin of Narita, Japan (Ready for takeoff.) \",\"I took a photo of Aircraft cabin at the airplane cabin of Narita, Japan (Ready for takeoff.) \",2019-03-30 14:15:37+09:00\nphotos_57,\"I took a photo of Espressino at the coffee shop of Cama Cafe in Huashan, Taipei (Caffeine fix.) \",\"I took a photo of Espressino at the coffee shop of Cama Cafe in Huashan, Taipei (Caffeine fix.) \",2019-03-31 10:51:04+08:00\nphotos_58,\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cozy spot for coffee and conversation.\"\") \",\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cozy spot for coffee and conversation.\"\") \",2019-03-31 10:51:41+08:00\nphotos_59,\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cozy spot for coffee and conversation.\"\") \",\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cozy spot for coffee and conversation.\"\") \",2019-03-31 11:17:52+08:00\nphotos_60,\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cozy spot for coffee and conversation.\"\") \",\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cozy spot for coffee and conversation.\"\") \",2019-03-31 11:17:57+08:00\nphotos_61,\"I took a photo of Award at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"Celebrating success!\"\") \",\"I took a photo of Award at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"Celebrating success!\"\") \",2019-03-31 11:23:27+08:00\nphotos_62,\"I took a photo of Café at the sushi bar of Cama Cafe in Huashan, Taipei (Fresh sushi and drinks.) \",\"I took a photo of Café at the sushi bar of Cama Cafe in Huashan, Taipei (Fresh sushi and drinks.) \",2019-03-31 11:29:26+08:00\nphotos_63,\"I took a photo of Café at the bar of Cama Cafe in Huashan, Taipei (\"\"A cozy spot for a cup of coffee.\"\") \",\"I took a photo of Café at the bar of Cama Cafe in Huashan, Taipei (\"\"A cozy spot for a cup of coffee.\"\") \",2019-03-31 11:29:35+08:00\nphotos_64,\"I took a photo of Skyscraper at the skyscraper of Exploring Eslite XinYi Store (\"\"Reaching new heights.\"\") \",\"I took a photo of Skyscraper at the skyscraper of Exploring Eslite XinYi Store (\"\"Reaching new heights.\"\") \",2019-03-31 13:38:53+08:00\nphotos_65,\"I took a photo of Tower running at the skyscraper of Exploring Eslite XinYi Store (\"\"Reaching new heights.\"\") \",\"I took a photo of Tower running at the skyscraper of Exploring Eslite XinYi Store (\"\"Reaching new heights.\"\") \",2019-03-31 13:38:56+08:00\nphotos_66,\"I took a photo of Landmark at the tower of Exploring Taipei City Hall (\"\"A view from the top.\"\") \",\"I took a photo of Landmark at the tower of Exploring Taipei City Hall (\"\"A view from the top.\"\") \",2019-03-31 14:02:19+08:00\nphotos_67,\"I took a photo of Presidential palace at the conference center of Exploring Xinglong Village, Taiwan (\"\"The seat of power.\"\") \",\"I took a photo of Presidential palace at the conference center of Exploring Xinglong Village, Taiwan (\"\"The seat of power.\"\") \",2019-03-31 14:07:01+08:00\nphotos_68,\"I took a photo of Impatiens at the botanical garden of Exploring Xinglong Village, Taiwan (\"\"A burst of color.\"\") \",\"I took a photo of Impatiens at the botanical garden of Exploring Xinglong Village, Taiwan (\"\"A burst of color.\"\") \",2019-03-31 14:08:35+08:00\nphotos_69,\"I took a photo of Presidential palace at the legislative chamber of \"\"Exploring Sun Yat-sen Memorial Hall\"\" (\"\"The seat of power.\"\") \",\"I took a photo of Presidential palace at the legislative chamber of \"\"Exploring Sun Yat-sen Memorial Hall\"\" (\"\"The seat of power.\"\") \",2019-03-31 14:11:10+08:00\nphotos_70,\"I took a photo of White mulberry at the coffee shop of Bigtom美國冰淇淋咖啡館 in Chezeng, Taipei (\"\"A sweet treat!\"\") \",\"I took a photo of White mulberry at the coffee shop of Bigtom美國冰淇淋咖啡館 in Chezeng, Taipei (\"\"A sweet treat!\"\") \",2019-03-31 14:25:17+08:00\nphotos_71,\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cozy spot for coffee and conversation.\"\") \",\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cozy spot for coffee and conversation.\"\") \",2019-04-01 11:46:03+08:00\nphotos_72,\"I took a photo of Café at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cup of coffee and a moment of peace.\"\") \",\"I took a photo of Café at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cup of coffee and a moment of peace.\"\") \",2019-04-01 11:46:13+08:00\nphotos_73,\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cozy spot for coffee and conversation.\"\") \",\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cozy spot for coffee and conversation.\"\") \",2019-04-01 11:46:18+08:00\nphotos_74,\"I took a photo of Kaya toast at the delicatessen of Cama Cafe in Huashan, Taipei (\"\"A classic Singaporean breakfast.\"\") \",\"I took a photo of Kaya toast at the delicatessen of Cama Cafe in Huashan, Taipei (\"\"A classic Singaporean breakfast.\"\") \",2019-04-01 11:50:40+08:00\nphotos_75,\"I took a photo of Café at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cup of coffee and a moment of peace.\"\") \",\"I took a photo of Café at the coffee shop of Cama Cafe in Huashan, Taipei (\"\"A cup of coffee and a moment of peace.\"\") \",2019-04-01 13:05:56+08:00\nphotos_76,\"I took a photo of Motherboard at the junkyard of Taipei's KuanHua Market (\"\"Outdated technology discarded.\"\") \",\"I took a photo of Motherboard at the junkyard of Taipei's KuanHua Market (\"\"Outdated technology discarded.\"\") \",2019-04-01 13:10:47+08:00\nphotos_77,\"I took a photo of Taiwanese opera at the legislative chamber of Exploring Chiang Kai-shek Memorial Hall (\"\"Traditional Taiwanese Opera in the Legislative Chamber\"\") \",\"I took a photo of Taiwanese opera at the legislative chamber of Exploring Chiang Kai-shek Memorial Hall (\"\"Traditional Taiwanese Opera in the Legislative Chamber\"\") \",2019-04-01 14:08:24+08:00\nphotos_78,\"I took a photo of Statue at the legislative chamber of Exploring Chiang Kai-shek Memorial Hall (\"\"A symbol of democracy.\"\") \",\"I took a photo of Statue at the legislative chamber of Exploring Chiang Kai-shek Memorial Hall (\"\"A symbol of democracy.\"\") \",2019-04-01 14:09:49+08:00\nphotos_79,\"I took a photo of Statue at the legislative chamber of Taipei's Democracy Boulevard (\"\"A symbol of democracy.\"\") \",\"I took a photo of Statue at the legislative chamber of Taipei's Democracy Boulevard (\"\"A symbol of democracy.\"\") \",2019-04-01 14:09:52+08:00\nphotos_80,\"I took a photo of Presidential palace at the asia temple of Exploring Chiang Kai-shek Memorial Hall (\"\"The Presidential Palace of Asia.\"\") \",\"I took a photo of Presidential palace at the asia temple of Exploring Chiang Kai-shek Memorial Hall (\"\"The Presidential Palace of Asia.\"\") \",2019-04-01 14:12:25+08:00\nphotos_81,\"I took a photo of Presidential palace at the asia temple of Exploring Longtsakoo, Taiwan (\"\"The Presidential Palace of Asia.\"\") \",\"I took a photo of Presidential palace at the asia temple of Exploring Longtsakoo, Taiwan (\"\"The Presidential Palace of Asia.\"\") \",2019-04-01 14:13:29+08:00\nphotos_82,\"I took a photo of Chinese architecture at the asia temple of Exploring Chiang Kai-shek Memorial Hall (\"\"Ancient beauty.\"\") \",\"I took a photo of Chinese architecture at the asia temple of Exploring Chiang Kai-shek Memorial Hall (\"\"Ancient beauty.\"\") \",2019-04-01 14:19:18+08:00\nphotos_83,\"I took a photo of Chinese architecture at the asia temple of Exploring Longtsakoo, Taipei (\"\"Ancient beauty.\"\") \",\"I took a photo of Chinese architecture at the asia temple of Exploring Longtsakoo, Taipei (\"\"Ancient beauty.\"\") \",2019-04-01 14:32:33+08:00\nphotos_84,\"I took a photo of Chinese architecture at the asia temple of Exploring Longtsakoo, Taiwan (\"\"Ancient beauty.\"\") \",\"I took a photo of Chinese architecture at the asia temple of Exploring Longtsakoo, Taiwan (\"\"Ancient beauty.\"\") \",2019-04-01 14:32:43+08:00\nphotos_85,\"I took a photo of Presidential palace at the asia temple of Taipei's Liberty Square (\"\"The Presidential Palace of Asia.\"\") \",\"I took a photo of Presidential palace at the asia temple of Taipei's Liberty Square (\"\"The Presidential Palace of Asia.\"\") \",2019-04-01 14:34:37+08:00\nphotos_86,\"I took a photo of Observation tower at the tower of Photographing Platform in Taipei (\"\"A view from the top.\"\") \",\"I took a photo of Observation tower at the tower of Photographing Platform in Taipei (\"\"A view from the top.\"\") \",2019-04-01 18:04:00+08:00\nphotos_87,\"I took a photo of Mount scenery at the downtown of Exploring Sanli Village, Taipei (\"\"A majestic view.\"\") \",\"I took a photo of Mount scenery at the downtown of Exploring Sanli Village, Taipei (\"\"A majestic view.\"\") \",2019-04-01 18:10:42+08:00\nphotos_88,\"I took a photo of Landmark at the tower of Exploring Liuhe Village Trail (\"\"A view from the top.\"\") \",\"I took a photo of Landmark at the tower of Exploring Liuhe Village Trail (\"\"A view from the top.\"\") \",2019-04-01 18:16:02+08:00\nphotos_89,I took a photo of Taiwan passport at the downtown of Exploring Taipei: 梅花球場 (Exploring Taiwan.) ,I took a photo of Taiwan passport at the downtown of Exploring Taipei: 梅花球場 (Exploring Taiwan.) ,2019-04-01 18:16:44+08:00\nphotos_90,\"I took a photo of Landmark at the tower of Exploring Xiangshan Tunnel (\"\"A view from the top.\"\") \",\"I took a photo of Landmark at the tower of Exploring Xiangshan Tunnel (\"\"A view from the top.\"\") \",2019-04-01 18:18:23+08:00\nphotos_91,\"I took a photo of Landmark at the tower of Exploring Xiangshan Tunnel (\"\"A view from the top.\"\") \",\"I took a photo of Landmark at the tower of Exploring Xiangshan Tunnel (\"\"A view from the top.\"\") \",2019-04-01 18:18:34+08:00\nphotos_92,\"I took a photo of Landmark at the tower of Exploring Taipei from the Xinyi District (\"\"A view from the top.\"\") \",\"I took a photo of Landmark at the tower of Exploring Taipei from the Xinyi District (\"\"A view from the top.\"\") \",2019-04-01 18:18:54+08:00\nphotos_93,\"I took a photo of Taiwan passport at the downtown of Exploring Sanli Village, Taipei (Exploring Taiwan.) \",\"I took a photo of Taiwan passport at the downtown of Exploring Sanli Village, Taipei (Exploring Taiwan.) \",2019-04-01 18:19:16+08:00\nphotos_94,\"I took a photo of Mount scenery at the mountain of Exploring Sanli Village, Taipei (\"\"Majestic beauty.\"\") \",\"I took a photo of Mount scenery at the mountain of Exploring Sanli Village, Taipei (\"\"Majestic beauty.\"\") \",2019-04-01 18:27:54+08:00\nphotos_95,\"I took a photo of Mount scenery at the downtown of Exploring Sanli Village, Taipei (\"\"A majestic view.\"\") \",\"I took a photo of Mount scenery at the downtown of Exploring Sanli Village, Taipei (\"\"A majestic view.\"\") \",2019-04-01 18:28:24+08:00\nphotos_96,\"I took a photo of Taiwan passport at the tower of Exploring Sanli Village, Taipei (Exploring Taiwan.) \",\"I took a photo of Taiwan passport at the tower of Exploring Sanli Village, Taipei (Exploring Taiwan.) \",2019-04-01 18:30:30+08:00\nphotos_97,\"I took a photo of Mount scenery at the downtown of Exploring Sanli Village, Taipei (\"\"A majestic view.\"\") \",\"I took a photo of Mount scenery at the downtown of Exploring Sanli Village, Taipei (\"\"A majestic view.\"\") \",2019-04-01 18:30:38+08:00\nphotos_98,\"I took a photo of Mount scenery at the mountain of Exploring Sanli Village, Taipei (\"\"Majestic beauty.\"\") \",\"I took a photo of Mount scenery at the mountain of Exploring Sanli Village, Taipei (\"\"Majestic beauty.\"\") \",2019-04-01 18:30:50+08:00\nphotos_99,\"I took a photo of Mount scenery at the residential neighborhood of Exploring Sanli Village, Taipei (\"\"A peaceful view.\"\") \",\"I took a photo of Mount scenery at the residential neighborhood of Exploring Sanli Village, Taipei (\"\"A peaceful view.\"\") \",2019-04-01 18:33:02+08:00\nphotos_100,\"I took a photo of Control tower at the tower of Photographing Platform in Taipei (\"\"A view from the top.\"\") \",\"I took a photo of Control tower at the tower of Photographing Platform in Taipei (\"\"A view from the top.\"\") \",2019-04-01 18:33:52+08:00\nphotos_101,\"I took a photo of Landmark at the tower of \"\"Photography Platform at 101 Tower\"\" (\"\"A view from the top.\"\") \",\"I took a photo of Landmark at the tower of \"\"Photography Platform at 101 Tower\"\" (\"\"A view from the top.\"\") \",2019-04-01 18:34:03+08:00\nphotos_102,I took a photo of Taiwan passport at the skyscraper of Exploring Taipei: 梅花球場 (Exploring the world from Taiwan.) ,I took a photo of Taiwan passport at the skyscraper of Exploring Taipei: 梅花球場 (Exploring the world from Taiwan.) ,2019-04-01 18:34:13+08:00\nphotos_103,I took a photo of Taiwan passport at the tower of Exploring Taipei: 梅花球場 (Exploring Taiwan.) ,I took a photo of Taiwan passport at the tower of Exploring Taipei: 梅花球場 (Exploring Taiwan.) ,2019-04-01 18:34:18+08:00\nphotos_104,\"I took a photo of Youtiao at the tower of Exploring Taipei: 梅花球場 (\"\"Youtiao in the Tower\"\") \",\"I took a photo of Youtiao at the tower of Exploring Taipei: 梅花球場 (\"\"Youtiao in the Tower\"\") \",2019-04-01 18:44:00+08:00\nphotos_105,I took a photo of Panorama at the park of Exploring Nature at 象山自然步道 (Enjoying the view.) ,I took a photo of Panorama at the park of Exploring Nature at 象山自然步道 (Enjoying the view.) ,2019-04-01 18:47:11+08:00\nphotos_106,\"I took a photo of Tower at the tower of Exploring Taipei's Elephant Mountain Trail (\"\"A view from the top.\"\") \",\"I took a photo of Tower at the tower of Exploring Taipei's Elephant Mountain Trail (\"\"A view from the top.\"\") \",2019-04-01 18:54:00+08:00\nphotos_107,\"I took a photo of Self-help book at the bookstore of Randall County, Texas (\"\"Find your path to success.\"\") \",\"I took a photo of Self-help book at the bookstore of Randall County, Texas (\"\"Find your path to success.\"\") \",2019-04-02 19:09:25-07:00\nphotos_108,\"I took a photo of Self-help book at the pantry of Randall County, Texas (\"\"Finding Solutions at Home\"\") \",\"I took a photo of Self-help book at the pantry of Randall County, Texas (\"\"Finding Solutions at Home\"\") \",2019-04-02 19:10:05-07:00\nphotos_109,\"I took a photo of Self-help book at the bookstore of Randall County, Texas (\"\"Find your path to success.\"\") \",\"I took a photo of Self-help book at the bookstore of Randall County, Texas (\"\"Find your path to success.\"\") \",2019-04-02 19:16:56-07:00\nphotos_110,\"I took a photo of Invoice at the hotel room of \"\"Texas Home on Greg Street\"\" (\"\"Hotel Room Invoice\"\") \",\"I took a photo of Invoice at the hotel room of \"\"Texas Home on Greg Street\"\" (\"\"Hotel Room Invoice\"\") \",2019-04-03 08:53:44-07:00\nphotos_111,\"I took a photo of Lupinus mutabilis at the botanical garden of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color.\"\") \",\"I took a photo of Lupinus mutabilis at the botanical garden of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color.\"\") \",2019-04-06 12:16:12-07:00\nphotos_112,\"I took a photo of Lavandula lanata at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",\"I took a photo of Lavandula lanata at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",2019-04-06 12:16:37-07:00\nphotos_113,\"I took a photo of Lavandula lanata at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",\"I took a photo of Lavandula lanata at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",2019-04-06 12:16:36-07:00\nphotos_114,\"I took a photo of Fernleaf lavender at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",\"I took a photo of Fernleaf lavender at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",2019-04-06 12:17:05-07:00\nphotos_115,\"I took a photo of Lavandula lanata at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",\"I took a photo of Lavandula lanata at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",2019-04-06 12:17:19-07:00\nphotos_116,\"I took a photo of Lavandula lanata at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",\"I took a photo of Lavandula lanata at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",2019-04-06 12:17:32-07:00\nphotos_117,\"I took a photo of Smoketree at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"A tranquil oasis in the garden.\"\") \",\"I took a photo of Smoketree at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"A tranquil oasis in the garden.\"\") \",2019-04-06 12:17:40-07:00\nphotos_118,\"I took a photo of Fernleaf lavender at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",\"I took a photo of Fernleaf lavender at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",2019-04-10 15:59:42-07:00\nphotos_119,\"I took a photo of Fernleaf lavender at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",\"I took a photo of Fernleaf lavender at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",2019-04-10 15:59:41-07:00\nphotos_120,\"I took a photo of Lavandula lanata at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",\"I took a photo of Lavandula lanata at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",2019-04-11 16:03:08-07:00\nphotos_121,\"I took a photo of Aesculus californica at the orchard of \"\"Texas Home on Greg Street\"\" (California Buckeye in bloom.) \",\"I took a photo of Aesculus californica at the orchard of \"\"Texas Home on Greg Street\"\" (California Buckeye in bloom.) \",2019-04-11 17:50:51-07:00\nphotos_122,\"I took a photo of Calamondin at the orchard of \"\"Texas Home on Greg Street\"\" (A burst of citrus in the orchard.) \",\"I took a photo of Calamondin at the orchard of \"\"Texas Home on Greg Street\"\" (A burst of citrus in the orchard.) \",2019-04-11 17:50:53-07:00\nphotos_123,\"I took a photo of Fruit tree at the orchard of \"\"Texas Home on Greg Street\"\" (\"\"A bounty of fruit.\"\") \",\"I took a photo of Fruit tree at the orchard of \"\"Texas Home on Greg Street\"\" (\"\"A bounty of fruit.\"\") \",2019-04-11 17:51:04-07:00\nphotos_124,\"I took a photo of Crabapple at the orchard of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color.\"\") \",\"I took a photo of Crabapple at the orchard of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color.\"\") \",2019-04-11 17:51:03-07:00\nphotos_125,\"I took a photo of Fernleaf lavender at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",\"I took a photo of Fernleaf lavender at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",2019-04-13 13:08:12-07:00\nphotos_126,\"I took a photo of Fernleaf lavender at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",\"I took a photo of Fernleaf lavender at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",2019-04-13 13:23:32-07:00\nphotos_127,\"I took a photo of Eschscholzia californica at the yard of \"\"Texas Home on Greg Street\"\" (California Poppies in bloom.) \",\"I took a photo of Eschscholzia californica at the yard of \"\"Texas Home on Greg Street\"\" (California Poppies in bloom.) \",2019-04-13 13:23:49-07:00\nphotos_128,\"I took a photo of Fernleaf lavender at the yard of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty.\"\") \",\"I took a photo of Fernleaf lavender at the yard of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty.\"\") \",2019-04-13 13:24:21-07:00\nphotos_129,\"I took a photo of Rock rose at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",\"I took a photo of Rock rose at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",2019-04-14 08:23:09-07:00\nphotos_130,\"I took a photo of Rock rose at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",\"I took a photo of Rock rose at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",2019-04-14 08:23:14-07:00\nphotos_131,\"I took a photo of Rock rose at the botanical garden of \"\"Texas Home on Greg Street\"\" (\"\"Beauty in the Garden\"\") \",\"I took a photo of Rock rose at the botanical garden of \"\"Texas Home on Greg Street\"\" (\"\"Beauty in the Garden\"\") \",2019-04-14 11:09:42-07:00\nphotos_132,\"I took a photo of Rock rose at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",\"I took a photo of Rock rose at the vegetation desert of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the desert.\"\") \",2019-04-14 11:09:56-07:00\nphotos_133,\"I took a photo of Eco hotel at the outdoor hotel of Vancouver's Canada Place (\"\"A peaceful retreat in nature.\"\") \",\"I took a photo of Eco hotel at the outdoor hotel of Vancouver's Canada Place (\"\"A peaceful retreat in nature.\"\") \",2019-04-14 19:19:06-07:00\nphotos_134,\"I took a photo of Convention center at the roof garden of Vancouver's Canada Place (\"\"A view from above.\"\") \",\"I took a photo of Convention center at the roof garden of Vancouver's Canada Place (\"\"A view from above.\"\") \",2019-04-14 19:28:23-07:00\nphotos_135,\"I took a photo of Cable-stayed bridge at the bridge of Exploring Gastown, Vancouver (\"\"A modern marvel.\"\") \",\"I took a photo of Cable-stayed bridge at the bridge of Exploring Gastown, Vancouver (\"\"A modern marvel.\"\") \",2019-04-14 20:40:40-07:00\nphotos_136,\"I took a photo of Convention center at the outdoor hotel of Vancouver's Canada Place (\"\"A gathering place for all.\"\") \",\"I took a photo of Convention center at the outdoor hotel of Vancouver's Canada Place (\"\"A gathering place for all.\"\") \",2019-04-15 08:03:01-07:00\nphotos_137,\"I took a photo of Panorama at the conference center of Vancouver's Canada Place (\"\"A view of the conference center.\"\") \",\"I took a photo of Panorama at the conference center of Vancouver's Canada Place (\"\"A view of the conference center.\"\") \",2019-04-15 08:03:20-07:00\nphotos_138,\"I took a photo of Shoe at the shoe shop of Vancouver's Canada Place (\"\"Step into style.\"\") \",\"I took a photo of Shoe at the shoe shop of Vancouver's Canada Place (\"\"Step into style.\"\") \",2019-04-15 12:16:09-07:00\nphotos_139,\"I took a photo of Veggie burger at the fastfood restaurant of Luxury in Gastown, Vancouver (\"\"Tasty and healthy!\"\") \",\"I took a photo of Veggie burger at the fastfood restaurant of Luxury in Gastown, Vancouver (\"\"Tasty and healthy!\"\") \",2019-04-15 12:34:01-07:00\nphotos_140,\"I took a photo of Electric griddle at the kitchen of Gastown Nail Salon (\"\"Cooking made easy!\"\") \",\"I took a photo of Electric griddle at the kitchen of Gastown Nail Salon (\"\"Cooking made easy!\"\") \",2019-04-15 13:45:18-07:00\nphotos_141,\"I took a photo of Food warmer at the indoor booth of Vancouver Convention Centre West (\"\"Keeping it warm.\"\") \",\"I took a photo of Food warmer at the indoor booth of Vancouver Convention Centre West (\"\"Keeping it warm.\"\") \",2019-04-15 13:47:29-07:00\nphotos_142,\"I took a photo of Food dehydrator at the kitchen of Gastown Nail Salon (\"\"Preserving the harvest.\"\") \",\"I took a photo of Food dehydrator at the kitchen of Gastown Nail Salon (\"\"Preserving the harvest.\"\") \",2019-04-15 13:47:35-07:00\nphotos_143,I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) ,I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) ,2019-04-15 14:19:43-07:00\nphotos_144,\"I took a photo of Single-origin coffee at the coffee shop of Vancouver Convention Centre West (\"\"Freshly brewed.\"\") \",\"I took a photo of Single-origin coffee at the coffee shop of Vancouver Convention Centre West (\"\"Freshly brewed.\"\") \",2019-04-15 14:19:45-07:00\nphotos_145,\"I took a photo of Single-origin coffee at the coffee shop of Vancouver Convention Centre West (\"\"Freshly brewed.\"\") \",\"I took a photo of Single-origin coffee at the coffee shop of Vancouver Convention Centre West (\"\"Freshly brewed.\"\") \",2019-04-15 14:19:50-07:00\nphotos_146,I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) ,I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) ,2019-04-15 14:19:55-07:00\nphotos_147,I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) ,I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) ,2019-04-15 14:19:56-07:00\nphotos_148,I took a photo of Portafilter at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) ,I took a photo of Portafilter at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) ,2019-04-15 14:20:02-07:00\nphotos_149,I took a photo of Portafilter at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) ,I took a photo of Portafilter at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) ,2019-04-15 14:20:03-07:00\nphotos_150,I took a photo of Espresso machine at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) ,I took a photo of Espresso machine at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) ,2019-04-15 14:20:07-07:00\nphotos_151,I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) ,I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) ,2019-04-15 14:20:07-07:00\nphotos_152,I took a photo of Espresso machine at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) ,I took a photo of Espresso machine at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) ,2019-04-15 14:20:08-07:00\nphotos_153,I took a photo of Espresso machine at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) ,I took a photo of Espresso machine at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) ,2019-04-15 14:20:19-07:00\nphotos_154,I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) ,I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) ,2019-04-15 14:20:20-07:00\nphotos_155,\"I took a photo of Harbor at the harbor of Gastown's Bellaggio Café & Gelateria (\"\"A peaceful view.\"\") \",\"I took a photo of Harbor at the harbor of Gastown's Bellaggio Café & Gelateria (\"\"A peaceful view.\"\") \",2019-04-15 15:21:26-07:00\nphotos_156,I took a photo of Victoria day at the harbor of Vancouver's Canada Place (Celebrating Victoria Day in the harbor.) ,I took a photo of Victoria day at the harbor of Vancouver's Canada Place (Celebrating Victoria Day in the harbor.) ,2019-04-15 15:25:50-07:00\nphotos_157,I took a photo of Panorama at the heliport of Vancouver's Canada Place (Aerial view of the heliport.) ,I took a photo of Panorama at the heliport of Vancouver's Canada Place (Aerial view of the heliport.) ,2019-04-15 15:25:58-07:00\nphotos_158,\"I took a photo of Stage at the indoor stage of Gastown Nail Salon (\"\"Ready for the show!\"\") \",\"I took a photo of Stage at the indoor stage of Gastown Nail Salon (\"\"Ready for the show!\"\") \",2019-04-15 18:30:43-07:00\nphotos_159,\"I took a photo of Stage at the indoor stage of Vancouver Convention Centre West (\"\"Ready for the show!\"\") \",\"I took a photo of Stage at the indoor stage of Vancouver Convention Centre West (\"\"Ready for the show!\"\") \",2019-04-15 18:30:48-07:00\nphotos_160,\"I took a photo of Performance at the indoor stage of Vancouver Convention Centre West (\"\"A captivating performance.\"\") \",\"I took a photo of Performance at the indoor stage of Vancouver Convention Centre West (\"\"A captivating performance.\"\") \",2019-04-15 18:31:20-07:00\nphotos_161,\"I took a photo of Performance at the indoor stage of Vancouver Convention Centre West (\"\"A captivating performance.\"\") \",\"I took a photo of Performance at the indoor stage of Vancouver Convention Centre West (\"\"A captivating performance.\"\") \",2019-04-15 18:31:22-07:00\nphotos_162,\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\"\"Explore the possibilities with an interactive kiosk.\"\") \",\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\"\"Explore the possibilities with an interactive kiosk.\"\") \",2019-04-16 07:52:35-07:00\nphotos_163,\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\"\"Explore the possibilities with an interactive kiosk.\"\") \",\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\"\"Explore the possibilities with an interactive kiosk.\"\") \",2019-04-16 07:52:38-07:00\nphotos_164,\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\"\"Explore the possibilities with an interactive kiosk.\"\") \",\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\"\"Explore the possibilities with an interactive kiosk.\"\") \",2019-04-16 07:52:47-07:00\nphotos_165,\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\"\"Explore the possibilities with an interactive kiosk.\"\") \",\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\"\"Explore the possibilities with an interactive kiosk.\"\") \",2019-04-16 07:52:51-07:00\nphotos_166,\"I took a photo of Presentation at the indoor stage of Vancouver Convention Centre West (\"\"Ready to present!\"\") \",\"I took a photo of Presentation at the indoor stage of Vancouver Convention Centre West (\"\"Ready to present!\"\") \",2019-04-16 10:02:50-07:00\nphotos_167,\"I took a photo of Superfood at the coffee shop of Vancouver Convention Centre West (\"\"Healthy and delicious!\"\") \",\"I took a photo of Superfood at the coffee shop of Vancouver Convention Centre West (\"\"Healthy and delicious!\"\") \",2019-04-16 10:35:31-07:00\nphotos_168,\"I took a photo of Microphone stand at the indoor stage of Vancouver Convention Centre West (\"\"Ready to rock!\"\") \",\"I took a photo of Microphone stand at the indoor stage of Vancouver Convention Centre West (\"\"Ready to rock!\"\") \",2019-04-16 11:33:45-07:00\nphotos_169,\"I took a photo of Presentation at the conference room of Vancouver's Olympic Cauldron (\"\"Sharing ideas.\"\") \",\"I took a photo of Presentation at the conference room of Vancouver's Olympic Cauldron (\"\"Sharing ideas.\"\") \",2019-04-16 15:58:10-07:00\nphotos_170,\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\"\"Speaking to a crowd.\"\") \",\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\"\"Speaking to a crowd.\"\") \",2019-04-17 08:56:50-07:00\nphotos_171,\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\"\"Speaking to a crowd.\"\") \",\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\"\"Speaking to a crowd.\"\") \",2019-04-17 09:16:52-07:00\nphotos_172,\"I took a photo of Ipad at the runway of Vancouver Convention Centre West (\"\"Tech on the go.\"\") \",\"I took a photo of Ipad at the runway of Vancouver Convention Centre West (\"\"Tech on the go.\"\") \",2019-04-17 09:51:56-07:00\nphotos_173,\"I took a photo of Mixed-use at the skyscraper of Vancouver Convention Centre West (\"\"Urban living at its finest.\"\") \",\"I took a photo of Mixed-use at the skyscraper of Vancouver Convention Centre West (\"\"Urban living at its finest.\"\") \",2019-04-17 12:32:29-07:00\nphotos_174,\"I took a photo of Pitch and putt at the performance arena of Vancouver Convention Centre West (\"\"Putting for glory!\"\") \",\"I took a photo of Pitch and putt at the performance arena of Vancouver Convention Centre West (\"\"Putting for glory!\"\") \",2019-04-17 12:35:20-07:00\nphotos_175,\"I took a photo of Eco hotel at the conference center of Vancouver Convention Centre West (\"\"Sustainable hospitality at its finest.\"\") \",\"I took a photo of Eco hotel at the conference center of Vancouver Convention Centre West (\"\"Sustainable hospitality at its finest.\"\") \",2019-04-17 12:43:24-07:00\nphotos_176,\"I took a photo of Eco hotel at the public atrium of Vancouver Convention Centre West (\"\"A tranquil oasis in the city.\"\") \",\"I took a photo of Eco hotel at the public atrium of Vancouver Convention Centre West (\"\"A tranquil oasis in the city.\"\") \",2019-04-17 12:43:27-07:00\nphotos_177,I took a photo of Academic conference at the conference room of Vancouver Convention Centre West (Academic minds come together.) ,I took a photo of Academic conference at the conference room of Vancouver Convention Centre West (Academic minds come together.) ,2019-04-17 13:44:56-07:00\nphotos_178,\"I took a photo of Public speaking at the ocean deep underwater of Vancouver Convention Centre West (\"\"Speaking Under the Sea\"\") \",\"I took a photo of Public speaking at the ocean deep underwater of Vancouver Convention Centre West (\"\"Speaking Under the Sea\"\") \",2019-04-17 18:34:48-07:00\nphotos_179,\"I took a photo of Presentation at the landfill of Vancouver Convention Centre West (\"\"A stark reminder of our waste.\"\") \",\"I took a photo of Presentation at the landfill of Vancouver Convention Centre West (\"\"A stark reminder of our waste.\"\") \",2019-04-18 09:25:03-07:00\nphotos_180,\"I took a photo of Public speaking at the indoor stage of Vancouver Convention Centre West (\"\"Speaking to the crowd.\"\") \",\"I took a photo of Public speaking at the indoor stage of Vancouver Convention Centre West (\"\"Speaking to the crowd.\"\") \",2019-04-18 11:48:54-07:00\nphotos_181,\"I took a photo of Hardware accessory at the home theater of Vancouver Convention Centre West (\"\"Complete the setup.\"\") \",\"I took a photo of Hardware accessory at the home theater of Vancouver Convention Centre West (\"\"Complete the setup.\"\") \",2019-04-18 12:29:21-07:00\nphotos_182,\"I took a photo of Public speaking at the classroom of Vancouver's Canada Place (\"\"Learning to communicate effectively.\"\") \",\"I took a photo of Public speaking at the classroom of Vancouver's Canada Place (\"\"Learning to communicate effectively.\"\") \",2019-04-18 16:25:56-07:00\nphotos_183,\"I took a photo of Aerialist at the performance arena of Vancouver Convention Centre West (\"\"Aerialist in flight.\"\") \",\"I took a photo of Aerialist at the performance arena of Vancouver Convention Centre West (\"\"Aerialist in flight.\"\") \",2019-04-18 17:10:13-07:00\nphotos_184,\"I took a photo of Public speaking at the indoor stage of Vancouver Convention Centre West (\"\"Speaking to the crowd.\"\") \",\"I took a photo of Public speaking at the indoor stage of Vancouver Convention Centre West (\"\"Speaking to the crowd.\"\") \",2019-04-19 11:21:20-07:00\nphotos_185,\"I took a photo of Public speaking at the indoor stage of Vancouver Convention Centre West (\"\"Speaking to the crowd.\"\") \",\"I took a photo of Public speaking at the indoor stage of Vancouver Convention Centre West (\"\"Speaking to the crowd.\"\") \",2019-04-19 11:22:29-07:00\nphotos_186,\"I took a photo of Presentation at the auditorium of Vancouver Convention Centre West (\"\"Ready to present!\"\") \",\"I took a photo of Presentation at the auditorium of Vancouver Convention Centre West (\"\"Ready to present!\"\") \",2019-04-19 11:34:21-07:00\nphotos_187,\"I took a photo of Presentation at the indoor stage of Vancouver Convention Centre West (\"\"Ready to present!\"\") \",\"I took a photo of Presentation at the indoor stage of Vancouver Convention Centre West (\"\"Ready to present!\"\") \",2019-04-19 11:37:25-07:00\nphotos_188,\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\"\"Speaking to a crowd.\"\") \",\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\"\"Speaking to a crowd.\"\") \",2019-04-19 11:38:46-07:00\nphotos_189,\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\"\"Speaking to a crowd.\"\") \",\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\"\"Speaking to a crowd.\"\") \",2019-04-19 11:39:45-07:00\nphotos_190,\"I took a photo of Tesla bluestar at the car interior of Old School Iron in Amarillo, TX (\"\"Luxury at its finest.\"\") \",\"I took a photo of Tesla bluestar at the car interior of Old School Iron in Amarillo, TX (\"\"Luxury at its finest.\"\") \",2019-04-20 11:12:11-07:00\nphotos_191,\"I took a photo of Fernleaf lavender at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",\"I took a photo of Fernleaf lavender at the formal garden of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty in the formal garden.\"\") \",2019-04-20 13:02:58-07:00\nphotos_192,\"I took a photo of Energy bar at the pantry of \"\"Texas Home on Greg Street\"\" (\"\"Grab and go!\"\") \",\"I took a photo of Energy bar at the pantry of \"\"Texas Home on Greg Street\"\" (\"\"Grab and go!\"\") \",2019-04-20 14:04:32-07:00\nphotos_193,\"I took a photo of Invoice at the hospital of \"\"Texas Home on Greg Street\"\" (\"\"Medical care in progress.\"\") \",\"I took a photo of Invoice at the hospital of \"\"Texas Home on Greg Street\"\" (\"\"Medical care in progress.\"\") \",2019-04-20 17:58:49-07:00\nphotos_194,\"I took a photo of Invoice at the hospital room of \"\"Texas Home on Greg Street\"\" (\"\"Medical care in progress.\"\") \",\"I took a photo of Invoice at the hospital room of \"\"Texas Home on Greg Street\"\" (\"\"Medical care in progress.\"\") \",2019-04-20 17:58:54-07:00\nphotos_195,\"I took a photo of Sweet pepperbush at the broadleaf forest of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the woods.\"\") \",\"I took a photo of Sweet pepperbush at the broadleaf forest of \"\"Texas Home on Greg Street\"\" (\"\"A splash of color in the woods.\"\") \",2019-04-21 10:33:26-07:00\nphotos_196,\"I took a photo of Aesculus californica at the japanese garden of \"\"Texas Home on Greg Street\"\" (\"\"California Buckeye in bloom\"\") \",\"I took a photo of Aesculus californica at the japanese garden of \"\"Texas Home on Greg Street\"\" (\"\"California Buckeye in bloom\"\") \",2019-04-21 11:39:34-07:00\nphotos_197,\"I took a photo of Aesculus californica at the japanese garden of \"\"Texas Home on Greg Street\"\" (\"\"California Buckeye in bloom\"\") \",\"I took a photo of Aesculus californica at the japanese garden of \"\"Texas Home on Greg Street\"\" (\"\"California Buckeye in bloom\"\") \",2019-04-21 11:39:50-07:00\nphotos_198,\"I took a photo of Smoketree at the yard of \"\"Texas Home on Greg Street\"\" (\"\"Beautiful smoketree in the yard.\"\") \",\"I took a photo of Smoketree at the yard of \"\"Texas Home on Greg Street\"\" (\"\"Beautiful smoketree in the yard.\"\") \",2019-04-21 11:41:20-07:00\nphotos_199,\"I took a photo of Smoketree at the driveway of \"\"Texas Home on Greg Street\"\" (\"\"Beautiful smoketree in the driveway.\"\") \",\"I took a photo of Smoketree at the driveway of \"\"Texas Home on Greg Street\"\" (\"\"Beautiful smoketree in the driveway.\"\") \",2019-04-21 11:41:39-07:00\nphotos_200,\"I took a photo of Fernleaf lavender at the driveway of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty.\"\") \",\"I took a photo of Fernleaf lavender at the driveway of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty.\"\") \",2019-04-23 08:14:56-07:00\nphotos_201,\"I took a photo of Fernleaf lavender at the driveway of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty.\"\") \",\"I took a photo of Fernleaf lavender at the driveway of \"\"Texas Home on Greg Street\"\" (\"\"Fragrant beauty.\"\") \",2019-04-23 08:14:55-07:00\nphotos_202,\"I took a photo of Receipt at the supermarket of \"\"Texas Home on Greg Street\"\" (Grocery shopping done!) \",\"I took a photo of Receipt at the supermarket of \"\"Texas Home on Greg Street\"\" (Grocery shopping done!) \",2019-04-23 12:25:08-07:00\nphotos_203,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:32:53-07:00\nphotos_204,\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:35:19-07:00\nphotos_205,\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:35:28-07:00\nphotos_206,\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:35:38-07:00\nphotos_207,\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:43:55-07:00\nphotos_208,\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:45:25-07:00\nphotos_209,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:50:35-07:00\nphotos_210,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:52:17-07:00\nphotos_211,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:52:16-07:00\nphotos_212,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:55:48-07:00\nphotos_213,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:55:59-07:00\nphotos_214,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:59:17-07:00\nphotos_215,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:59:23-07:00\nphotos_216,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 18:59:30-07:00\nphotos_217,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 19:06:22-07:00\nphotos_218,\"I took a photo of Sunrise at the canyon of Exploring the Grand Canyon (\"\"A new day dawns.\"\") \",\"I took a photo of Sunrise at the canyon of Exploring the Grand Canyon (\"\"A new day dawns.\"\") \",2019-04-24 19:07:27-07:00\nphotos_219,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 19:10:19-07:00\nphotos_220,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 19:10:24-07:00\nphotos_221,\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 19:13:51-07:00\nphotos_222,\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 19:13:55-07:00\nphotos_223,\"I took a photo of Canyon at the canyon of Exploring Yavapai Lodge Road (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Yavapai Lodge Road (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 19:15:23-07:00\nphotos_224,\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 19:21:41-07:00\nphotos_225,\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-24 19:21:48-07:00\nphotos_226,\"I took a photo of Canyon at the canyon of Exploring Mather Point (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Mather Point (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 05:37:52-07:00\nphotos_227,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 05:39:19-07:00\nphotos_228,\"I took a photo of Canyon at the canyon of Exploring Yavapai Lodge Road (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Yavapai Lodge Road (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 05:41:32-07:00\nphotos_229,\"I took a photo of Canyon at the canyon of Exploring Mather Point (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Mather Point (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 05:43:36-07:00\nphotos_230,\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",2019-04-25 05:43:42-07:00\nphotos_231,\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",2019-04-25 05:44:01-07:00\nphotos_232,\"I took a photo of Lens flare at the canyon of Exploring Mather Point (\"\"A burst of light in the canyon.\"\") \",\"I took a photo of Lens flare at the canyon of Exploring Mather Point (\"\"A burst of light in the canyon.\"\") \",2019-04-25 05:44:16-07:00\nphotos_233,\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",2019-04-25 05:44:18-07:00\nphotos_234,\"I took a photo of Lens flare at the canyon of Exploring Mather Point (\"\"A burst of light in the canyon.\"\") \",\"I took a photo of Lens flare at the canyon of Exploring Mather Point (\"\"A burst of light in the canyon.\"\") \",2019-04-25 05:44:23-07:00\nphotos_235,\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",2019-04-25 05:45:05-07:00\nphotos_236,\"I took a photo of Sunrise at the canyon of Exploring Yavapai Lodge Road (\"\"A new day dawns.\"\") \",\"I took a photo of Sunrise at the canyon of Exploring Yavapai Lodge Road (\"\"A new day dawns.\"\") \",2019-04-25 05:46:17-07:00\nphotos_237,\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",2019-04-25 05:46:26-07:00\nphotos_238,\"I took a photo of Canyon at the canyon of Exploring Mather Point (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Mather Point (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 05:47:17-07:00\nphotos_239,\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",2019-04-25 05:47:39-07:00\nphotos_240,\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\"\"A new day dawns.\"\") \",2019-04-25 05:47:50-07:00\nphotos_241,\"I took a photo of Canyon at the canyon of Exploring Mather Point (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Mather Point (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 05:47:49-07:00\nphotos_242,\"I took a photo of Elk at the pasture of Exploring the Grand Canyon (\"\"Majestic Elk\"\") \",\"I took a photo of Elk at the pasture of Exploring the Grand Canyon (\"\"Majestic Elk\"\") \",2019-04-25 05:54:16-07:00\nphotos_243,\"I took a photo of Grazing at the driveway of Exploring the Grand Canyon (\"\"Enjoying the view.\"\") \",\"I took a photo of Grazing at the driveway of Exploring the Grand Canyon (\"\"Enjoying the view.\"\") \",2019-04-25 05:54:36-07:00\nphotos_244,\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 05:59:41-07:00\nphotos_245,\"I took a photo of Canyon at the canyon of Exploring Yavapai Lodge Road (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Yavapai Lodge Road (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 06:10:13-07:00\nphotos_246,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 06:40:46-07:00\nphotos_247,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 06:43:27-07:00\nphotos_248,\"I took a photo of Geological phenomenon at the cliff of Exploring the Grand Canyon (\"\"Nature's Artwork\"\") \",\"I took a photo of Geological phenomenon at the cliff of Exploring the Grand Canyon (\"\"Nature's Artwork\"\") \",2019-04-25 07:03:31-07:00\nphotos_249,\"I took a photo of Canyon at the canyon of \"\"Exploring the Grand Canyon\"\" (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of \"\"Exploring the Grand Canyon\"\" (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 07:21:47-07:00\nphotos_250,\"I took a photo of Two needle pinyon pine at the canyon of Exploring the Grand Canyon (\"\"A peaceful view.\"\") \",\"I took a photo of Two needle pinyon pine at the canyon of Exploring the Grand Canyon (\"\"A peaceful view.\"\") \",2019-04-25 07:27:41-07:00\nphotos_251,\"I took a photo of Two needle pinyon pine at the canyon of Exploring the Grand Canyon (\"\"A peaceful view.\"\") \",\"I took a photo of Two needle pinyon pine at the canyon of Exploring the Grand Canyon (\"\"A peaceful view.\"\") \",2019-04-25 07:27:43-07:00\nphotos_252,\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 08:54:45-07:00\nphotos_253,\"I took a photo of Landscaping at the butte of Exploring Uptown Sedona (\"\"Nature's beauty.\"\") \",\"I took a photo of Landscaping at the butte of Exploring Uptown Sedona (\"\"Nature's beauty.\"\") \",2019-04-25 14:38:48-07:00\nphotos_254,\"I took a photo of Landscaping at the canyon of Exploring Sedona, AZ (\"\"Exploring nature's beauty.\"\") \",\"I took a photo of Landscaping at the canyon of Exploring Sedona, AZ (\"\"Exploring nature's beauty.\"\") \",2019-04-25 14:39:05-07:00\nphotos_255,\"I took a photo of Butte at the butte of Sedona Airport View (\"\"A view of Butte from the Butte.\"\") \",\"I took a photo of Butte at the butte of Sedona Airport View (\"\"A view of Butte from the Butte.\"\") \",2019-04-25 17:54:13-07:00\nphotos_256,\"I took a photo of Canyon at the canyon of Exploring Sedona, AZ (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Sedona, AZ (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 18:01:35-07:00\nphotos_257,\"I took a photo of Canyon at the canyon of Exploring Oak Creek Dev No. 1, Sedona (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Oak Creek Dev No. 1, Sedona (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 18:03:14-07:00\nphotos_258,\"I took a photo of Canyon at the canyon of Exploring Sedona, AZ (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Sedona, AZ (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 18:15:41-07:00\nphotos_259,\"I took a photo of Panorama at the valley of Exploring Sedona, Arizona (A breathtaking view.) \",\"I took a photo of Panorama at the valley of Exploring Sedona, Arizona (A breathtaking view.) \",2019-04-25 18:22:55-07:00\nphotos_260,\"I took a photo of Canyon at the canyon of \"\"Exploring Sedona's Airport Mesa Viewpoint\"\" (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of \"\"Exploring Sedona's Airport Mesa Viewpoint\"\" (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 18:24:57-07:00\nphotos_261,\"I took a photo of Canyon at the canyon of \"\"Exploring Sedona's Airport Mesa Viewpoint\"\" (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of \"\"Exploring Sedona's Airport Mesa Viewpoint\"\" (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 18:25:06-07:00\nphotos_262,\"I took a photo of Rainbow at the canyon of \"\"Exploring Sedona, Arizona\"\" (\"\"A burst of color.\"\") \",\"I took a photo of Rainbow at the canyon of \"\"Exploring Sedona, Arizona\"\" (\"\"A burst of color.\"\") \",2019-04-25 18:42:55-07:00\nphotos_263,\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",2019-04-25 18:43:03-07:00\nphotos_264,\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",2019-04-25 18:43:05-07:00\nphotos_265,\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",2019-04-25 18:43:14-07:00\nphotos_266,\"I took a photo of Rainbow at the butte of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",\"I took a photo of Rainbow at the butte of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",2019-04-25 18:43:22-07:00\nphotos_267,\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",2019-04-25 18:43:39-07:00\nphotos_268,\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",2019-04-25 18:43:43-07:00\nphotos_269,\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",2019-04-25 18:43:58-07:00\nphotos_270,\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\"\"A burst of color.\"\") \",2019-04-25 18:44:04-07:00\nphotos_271,\"I took a photo of Rainbow at the canyon  (\"\"A burst of color.\"\") \",\"I took a photo of Rainbow at the canyon  (\"\"A burst of color.\"\") \",2019-04-26 00:48:52+00:00\nphotos_272,\"I took a photo of Canyon at the canyon of Exploring Sedona's Airport Loop Trail (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Sedona's Airport Loop Trail (\"\"Awe-inspiring beauty.\"\") \",2019-04-25 18:53:16-07:00\nphotos_273,\"I took a photo of Rainbow at the butte of Sedona Airport, Arizona (\"\"A burst of color.\"\") \",\"I took a photo of Rainbow at the butte of Sedona Airport, Arizona (\"\"A burst of color.\"\") \",2019-04-25 18:56:35-07:00\nphotos_274,\"I took a photo of Rainbow at the butte of Sedona Airport, Arizona (\"\"A burst of color.\"\") \",\"I took a photo of Rainbow at the butte of Sedona Airport, Arizona (\"\"A burst of color.\"\") \",2019-04-25 18:56:37-07:00\nphotos_275,\"I took a photo of Panorama at the valley of Exploring Sedona, AZ (A breathtaking view.) \",\"I took a photo of Panorama at the valley of Exploring Sedona, AZ (A breathtaking view.) \",2019-04-25 19:01:34-07:00\nphotos_276,\"I took a photo of Arizona Cypress at the canyon of Sedona Airport View (\"\"A majestic view.\"\") \",\"I took a photo of Arizona Cypress at the canyon of Sedona Airport View (\"\"A majestic view.\"\") \",2019-04-25 19:08:31-07:00\nphotos_277,I took a photo of Panorama at the canyon of Sedona Airport View (Exploring the beauty of nature.) ,I took a photo of Panorama at the canyon of Sedona Airport View (Exploring the beauty of nature.) ,2019-04-25 19:08:41-07:00\nphotos_278,\"I took a photo of Arizona Cypress at the butte of Sedona Airport View (\"\"A majestic view of Arizona Cypress in the Butte.\"\") \",\"I took a photo of Arizona Cypress at the butte of Sedona Airport View (\"\"A majestic view of Arizona Cypress in the Butte.\"\") \",2019-04-25 19:08:56-07:00\nphotos_279,\"I took a photo of Smoketree at the patio of \"\"Exploring Sedona, Arizona\"\" (\"\"A peaceful moment in the garden.\"\") \",\"I took a photo of Smoketree at the patio of \"\"Exploring Sedona, Arizona\"\" (\"\"A peaceful moment in the garden.\"\") \",2019-04-26 10:42:14-07:00\nphotos_280,\"I took a photo of Dirt road at the desert road of Exploring Arizona's Western Navajo Agency (\"\"A journey through the desert.\"\") \",\"I took a photo of Dirt road at the desert road of Exploring Arizona's Western Navajo Agency (\"\"A journey through the desert.\"\") \",2019-04-26 15:57:32-06:00\nphotos_281,I took a photo of Canyon at the desert road of Exploring Arizona's Western Navajo Agency (Exploring the desert.) ,I took a photo of Canyon at the desert road of Exploring Arizona's Western Navajo Agency (Exploring the desert.) ,2019-04-26 15:57:35-06:00\nphotos_282,\"I took a photo of Highway at the desert road of Exploring Arizona's Western Navajo Agency (\"\"A journey through the desert.\"\") \",\"I took a photo of Highway at the desert road of Exploring Arizona's Western Navajo Agency (\"\"A journey through the desert.\"\") \",2019-04-26 15:58:00-06:00\nphotos_283,\"I took a photo of Butte at the butte of Exploring Bitter Springs, Arizona (\"\"A view of Butte from the Butte.\"\") \",\"I took a photo of Butte at the butte of Exploring Bitter Springs, Arizona (\"\"A view of Butte from the Butte.\"\") \",2019-04-26 16:12:26-06:00\nphotos_284,\"I took a photo of Algific talus slope at the butte of Exploring Bitter Springs, Arizona (\"\"A unique landscape.\"\") \",\"I took a photo of Algific talus slope at the butte of Exploring Bitter Springs, Arizona (\"\"A unique landscape.\"\") \",2019-04-26 16:12:25-06:00\nphotos_285,\"I took a photo of Butte at the butte of Exploring Bitter Springs, Arizona (\"\"A view of Butte from the Butte.\"\") \",\"I took a photo of Butte at the butte of Exploring Bitter Springs, Arizona (\"\"A view of Butte from the Butte.\"\") \",2019-04-26 16:12:48-06:00\nphotos_286,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-26 23:24:16+00:00\nphotos_287,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-26 23:24:21+00:00\nphotos_288,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-26 23:25:46+00:00\nphotos_289,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-26 22:25:50+00:00\nphotos_290,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-26 22:25:49+00:00\nphotos_291,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-26 22:25:52+00:00\nphotos_292,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-26 22:25:51+00:00\nphotos_293,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-26 22:35:51+00:00\nphotos_294,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-26 22:46:16+00:00\nphotos_295,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-26 22:46:21+00:00\nphotos_296,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-26 22:46:24+00:00\nphotos_297,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-26 22:47:48+00:00\nphotos_298,I took a photo of Estonian hound at the castle  (Exploring the castle.) ,I took a photo of Estonian hound at the castle  (Exploring the castle.) ,2019-04-26 22:48:26+00:00\nphotos_299,I took a photo of Open-air museum at the outdoor museum  (Exploring history in the open air.) ,I took a photo of Open-air museum at the outdoor museum  (Exploring history in the open air.) ,2019-04-26 23:09:12+00:00\nphotos_300,I took a photo of Cortado at the coffee shop  (Caffeinated and ready to go.) ,I took a photo of Cortado at the coffee shop  (Caffeinated and ready to go.) ,2019-04-26 23:09:13+00:00\nphotos_301,I took a photo of Panorama at the harbor of Exploring Lake Powell Resort (Harbor views for days.) ,I took a photo of Panorama at the harbor of Exploring Lake Powell Resort (Harbor views for days.) ,2019-04-26 18:04:06-07:00\nphotos_302,\"I took a photo of Dry lake at the butte of Exploring Lake Powell Resort (\"\"A tranquil desert oasis.\"\") \",\"I took a photo of Dry lake at the butte of Exploring Lake Powell Resort (\"\"A tranquil desert oasis.\"\") \",2019-04-27 08:00:20-07:00\nphotos_303,I took a photo of Web page at the canyon  (Exploring the Grand Canyon.) ,I took a photo of Web page at the canyon  (Exploring the Grand Canyon.) ,2019-04-27 15:32:17+00:00\nphotos_304,\"I took a photo of Dry lake at the campsite of Exploring Lake Powell Resort (\"\"A peaceful oasis in the desert.\"\") \",\"I took a photo of Dry lake at the campsite of Exploring Lake Powell Resort (\"\"A peaceful oasis in the desert.\"\") \",2019-04-27 09:03:39-07:00\nphotos_305,\"I took a photo of Dry lake at the swimming hole of Exploring Lake Powell Resort (\"\"A peaceful oasis.\"\") \",\"I took a photo of Dry lake at the swimming hole of Exploring Lake Powell Resort (\"\"A peaceful oasis.\"\") \",2019-04-27 09:38:35-07:00\nphotos_306,\"I took a photo of Dry lake at the swimming hole of Exploring Wahweap's Navajo Viewpoint (\"\"A peaceful oasis.\"\") \",\"I took a photo of Dry lake at the swimming hole of Exploring Wahweap's Navajo Viewpoint (\"\"A peaceful oasis.\"\") \",2019-04-27 10:38:44-07:00\nphotos_307,\"I took a photo of Cinder cone at the vegetation desert of Exploring Garfield County, Utah (\"\"A lonely cinder cone in the desert.\"\") \",\"I took a photo of Cinder cone at the vegetation desert of Exploring Garfield County, Utah (\"\"A lonely cinder cone in the desert.\"\") \",2019-04-27 15:47:52-06:00\nphotos_308,\"I took a photo of Cinder cone at the canyon of Exploring Garfield County, Utah (\"\"Awe-inspiring view.\"\") \",\"I took a photo of Cinder cone at the canyon of Exploring Garfield County, Utah (\"\"Awe-inspiring view.\"\") \",2019-04-27 15:48:04-06:00\nphotos_309,\"I took a photo of Window at the indoor bow window of Tropic, Utah (\"\"A view of the outdoors.\"\") \",\"I took a photo of Window at the indoor bow window of Tropic, Utah (\"\"A view of the outdoors.\"\") \",2019-04-27 16:17:22-06:00\nphotos_310,\"I took a photo of Canyon at the canyon of Exploring Utah's Rim Trail (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Utah's Rim Trail (\"\"Awe-inspiring beauty.\"\") \",2019-04-27 17:45:04-06:00\nphotos_311,\"I took a photo of Canyon at the canyon of Exploring Utah's Rim Trail (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Utah's Rim Trail (\"\"Awe-inspiring beauty.\"\") \",2019-04-27 18:00:27-06:00\nphotos_312,\"I took a photo of Cinder cone at the canyon of Exploring Utah's Rim Trail (\"\"Awe-inspiring view.\"\") \",\"I took a photo of Cinder cone at the canyon of Exploring Utah's Rim Trail (\"\"Awe-inspiring view.\"\") \",2019-04-27 18:05:34-06:00\nphotos_313,\"I took a photo of Shortstraw pine at the canyon of Exploring Utah's Queen's Garden Trail (\"\"A peaceful escape.\"\") \",\"I took a photo of Shortstraw pine at the canyon of Exploring Utah's Queen's Garden Trail (\"\"A peaceful escape.\"\") \",2019-04-27 18:14:23-06:00\nphotos_314,\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\"\"Awe-inspiring beauty.\"\") \",2019-04-27 18:20:03-06:00\nphotos_315,\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\"\"Awe-inspiring beauty.\"\") \",2019-04-27 18:20:12-06:00\nphotos_316,\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\"\"Awe-inspiring beauty.\"\") \",2019-04-27 18:27:33-06:00\nphotos_317,\"I took a photo of American larch at the canyon of Exploring Utah's Queen's Garden Trail (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of American larch at the canyon of Exploring Utah's Queen's Garden Trail (\"\"Awe-inspiring beauty.\"\") \",2019-04-27 18:34:01-06:00\nphotos_318,\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon  (\"\"Awe-inspiring beauty.\"\") \",2019-04-28 01:43:08+00:00\nphotos_319,\"I took a photo of Kaibab Squirrel at the watering hole of Tropic, Utah (\"\"Taking a break.\"\") \",\"I took a photo of Kaibab Squirrel at the watering hole of Tropic, Utah (\"\"Taking a break.\"\") \",2019-04-27 18:43:44-06:00\nphotos_320,\"I took a photo of Organ Mountains Chipmunk at the watering hole of Tropic, Utah (\"\"Taking a break.\"\") \",\"I took a photo of Organ Mountains Chipmunk at the watering hole of Tropic, Utah (\"\"Taking a break.\"\") \",2019-04-27 18:43:48-06:00\nphotos_321,\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\"\"Awe-inspiring beauty.\"\") \",\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\"\"Awe-inspiring beauty.\"\") \",2019-04-27 18:50:14-06:00\nphotos_322,\"I took a photo of Outcrop at the cliff of Exploring Utah's Queen's Garden Trail (\"\"A rocky outcrop in the cliff face.\"\") \",\"I took a photo of Outcrop at the cliff of Exploring Utah's Queen's Garden Trail (\"\"A rocky outcrop in the cliff face.\"\") \",2019-04-27 19:13:37-06:00\nphotos_323,\"I took a photo of Cinder cone at the canyon of Exploring Utah's Rim Trail (\"\"Awe-inspiring view.\"\") \",\"I took a photo of Cinder cone at the canyon of Exploring Utah's Rim Trail (\"\"Awe-inspiring view.\"\") \",2019-04-27 19:34:15-06:00\nphotos_324,\"I took a photo of Single-origin coffee at the coffee shop of \"\"Texas Home on Greg Street\"\" (\"\"Freshly brewed.\"\") \",\"I took a photo of Single-origin coffee at the coffee shop of \"\"Texas Home on Greg Street\"\" (\"\"Freshly brewed.\"\") \",2019-04-29 11:49:07-07:00\nplaces_27028,\"I have been to Exploring Lamb County, TX\",\"I have been to Exploring Lamb County, TX\",2019-04-27 17:28:58-07:00\nplaces_27172,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-03-03 07:41:47-08:00\nplaces_27173,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-03-03 07:42:11-08:00\nplaces_27174,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-03-03 07:42:35-08:00\nplaces_27175,\"I have been to \"\"Throwbacks Sports Bar: Amarillo's Best!\"\"\",\"I have been to \"\"Throwbacks Sports Bar: Amarillo's Best!\"\"\",2019-03-05 18:13:01-08:00\nplaces_27176,\"I have been to \"\"Throwbacks Sports Bar: Amarillo's Best!\"\"\",\"I have been to \"\"Throwbacks Sports Bar: Amarillo's Best!\"\"\",2019-03-05 18:13:04-08:00\nplaces_27177,\"I have been to Biking in Randall County, Texas\",\"I have been to Biking in Randall County, Texas\",2019-03-05 19:31:46-08:00\nplaces_27178,\"I have been to Biking in Randall County, Texas\",\"I have been to Biking in Randall County, Texas\",2019-03-05 19:31:47-08:00\nplaces_27179,\"I have been to Biking in Randall County, Texas\",\"I have been to Biking in Randall County, Texas\",2019-03-05 19:36:00-08:00\nplaces_27180,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-03-06 19:46:40-08:00\nplaces_27181,\"I have been to Amarillo, Texas\",\"I have been to Amarillo, Texas\",2019-03-07 19:17:33-08:00\nplaces_27182,\"I have been to Randall County, Texas\",\"I have been to Randall County, Texas\",2019-03-10 17:42:28-07:00\nplaces_27183,\"I have been to Randall County, Texas\",\"I have been to Randall County, Texas\",2019-03-10 17:42:30-07:00\nplaces_27184,\"I have been to Randall County, Texas\",\"I have been to Randall County, Texas\",2019-03-10 17:42:31-07:00\nplaces_27185,\"I have been to Randall County, Texas\",\"I have been to Randall County, Texas\",2019-03-10 17:42:32-07:00\nplaces_27186,\"I have been to Randall County, Texas\",\"I have been to Randall County, Texas\",2019-03-10 17:46:32-07:00\nplaces_27187,\"I have been to Randall County, Texas\",\"I have been to Randall County, Texas\",2019-03-10 17:46:34-07:00\nplaces_27188,\"I have been to Randall County, Texas\",\"I have been to Randall County, Texas\",2019-03-10 17:47:15-07:00\nplaces_27189,\"I have been to Randall County, Texas\",\"I have been to Randall County, Texas\",2019-03-10 17:47:16-07:00\nplaces_27190,\"I have been to Randall County, Texas\",\"I have been to Randall County, Texas\",2019-03-10 17:47:17-07:00\nplaces_27193,\"I have been to \"\"Exploring Randall County, Texas\"\"\",\"I have been to \"\"Exploring Randall County, Texas\"\"\",2019-03-17 12:59:42-07:00\nplaces_27194,\"I have been to Helium Road, Texas\",\"I have been to Helium Road, Texas\",2019-03-18 09:20:41-07:00\nplaces_27195,\"I have been to Helium Road, Texas\",\"I have been to Helium Road, Texas\",2019-03-18 09:31:03-07:00\nplaces_27196,\"I have been to Helium Road, Texas\",\"I have been to Helium Road, Texas\",2019-03-18 10:43:51-07:00\nplaces_27197,\"I have been to Helium Road, Texas\",\"I have been to Helium Road, Texas\",2019-03-18 10:44:49-07:00\nplaces_27198,\"I have been to Helium Road, Texas\",\"I have been to Helium Road, Texas\",2019-03-18 10:46:41-07:00\nplaces_27199,\"I have been to Helium Road, Texas\",\"I have been to Helium Road, Texas\",2019-03-18 13:00:08-07:00\nplaces_27200,\"I have been to Helium Road, Texas\",\"I have been to Helium Road, Texas\",2019-03-18 13:12:49-07:00\nplaces_27201,\"I have been to Helium Road, Texas\",\"I have been to Helium Road, Texas\",2019-03-18 15:52:33-07:00\nplaces_27202,\"I have been to Helium Road, Texas\",\"I have been to Helium Road, Texas\",2019-03-18 16:05:51-07:00\nplaces_27203,\"I have been to Helium Road, Texas\",\"I have been to Helium Road, Texas\",2019-03-18 17:02:12-07:00\nplaces_27204,\"I have been to Helium Road, Texas\",\"I have been to Helium Road, Texas\",2019-03-18 17:02:21-07:00\nplaces_27205,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-03-19 12:32:09-07:00\nplaces_27206,\"I have been to Exploring Randall County, Texas\",\"I have been to Exploring Randall County, Texas\",2019-03-22 19:06:44-07:00\nplaces_27207,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-03-23 07:50:06-07:00\nplaces_27208,\"I have been to Exploring Castro County, Texas\",\"I have been to Exploring Castro County, Texas\",2019-03-23 09:36:05-07:00\nplaces_27209,\"I have been to Exploring Castro County, Texas\",\"I have been to Exploring Castro County, Texas\",2019-03-23 09:36:12-07:00\nplaces_27210,I have been to Charlie's Furniture Amarillo,I have been to Charlie's Furniture Amarillo,2019-03-23 20:50:05-07:00\nplaces_27211,I have been to Exploring Seoul National University,I have been to Exploring Seoul National University,2019-03-27 11:42:43+09:00\nplaces_27212,I have been to Exploring Seoul National University,I have been to Exploring Seoul National University,2019-03-27 11:42:50+09:00\nplaces_27213,I have been to Exploring Seoul National University,I have been to Exploring Seoul National University,2019-03-27 13:45:36+09:00\nplaces_27214,I have been to Exploring Seoul National University,I have been to Exploring Seoul National University,2019-03-27 13:45:47+09:00\nplaces_27215,I have been to Exploring Seoul National University,I have been to Exploring Seoul National University,2019-03-27 13:45:47+09:00\nplaces_27216,\"I have been to Yangpyeong-ro 28da-gil, Seoul\",\"I have been to Yangpyeong-ro 28da-gil, Seoul\",2019-03-27 15:47:16+09:00\nplaces_27217,\"I have been to Yangpyeong-ro 28da-gil, Seoul\",\"I have been to Yangpyeong-ro 28da-gil, Seoul\",2019-03-27 15:47:22+09:00\nplaces_27218,\"I have been to Yangpyeong-ro 28da-gil, Seoul\",\"I have been to Yangpyeong-ro 28da-gil, Seoul\",2019-03-27 15:47:29+09:00\nplaces_27220,I have been to Exploring Seoul's Seocho-gu,I have been to Exploring Seoul's Seocho-gu,2019-03-27 18:36:03+09:00\nplaces_27221,I have been to Incheon Int'l Airport Terminal 1,I have been to Incheon Int'l Airport Terminal 1,2019-03-28 06:38:09+09:00\nplaces_27223,I have been to Roppongi's Asahi Shokudo,I have been to Roppongi's Asahi Shokudo,2019-03-28 20:38:13+09:00\nplaces_27224,I have been to Roppongi's Asahi Shokudo,I have been to Roppongi's Asahi Shokudo,2019-03-28 20:47:46+09:00\nplaces_27225,I have been to Roppongi's Asahi Shokudo,I have been to Roppongi's Asahi Shokudo,2019-03-28 21:36:34+09:00\nplaces_27226,I have been to Roppongi's Asahi Shokudo,I have been to Roppongi's Asahi Shokudo,2019-03-28 23:25:42+09:00\nplaces_27227,I have been to Roppongi's Asahi Shokudo,I have been to Roppongi's Asahi Shokudo,2019-03-28 23:25:52+09:00\nplaces_27228,I have been to Grand Hyatt Tokyo,I have been to Grand Hyatt Tokyo,2019-03-29 09:12:12+09:00\nplaces_27229,\"I have been to Moto-Azabu, Tokyo\",\"I have been to Moto-Azabu, Tokyo\",2019-03-29 10:08:09+09:00\nplaces_27230,I have been to Aiiku Hospital in Tokyo,I have been to Aiiku Hospital in Tokyo,2019-03-29 10:13:09+09:00\nplaces_27231,\"I have been to Exploring Naka-Meguro, Tokyo\",\"I have been to Exploring Naka-Meguro, Tokyo\",2019-03-29 10:53:41+09:00\nplaces_27232,\"I have been to Exploring Naka-Meguro, Tokyo\",\"I have been to Exploring Naka-Meguro, Tokyo\",2019-03-29 10:54:16+09:00\nplaces_27233,\"I have been to Exploring Naka-Meguro, Tokyo\",\"I have been to Exploring Naka-Meguro, Tokyo\",2019-03-29 10:54:15+09:00\nplaces_27234,\"I have been to Exploring Naka-Meguro, Tokyo\",\"I have been to Exploring Naka-Meguro, Tokyo\",2019-03-29 10:54:51+09:00\nplaces_27235,\"I have been to Exploring Naka-Meguro, Tokyo\",\"I have been to Exploring Naka-Meguro, Tokyo\",2019-03-29 10:54:59+09:00\nplaces_27236,\"I have been to Exploring Naka-Meguro, Tokyo\",\"I have been to Exploring Naka-Meguro, Tokyo\",2019-03-29 10:56:04+09:00\nplaces_27237,\"I have been to Exploring Naka-Meguro, Tokyo\",\"I have been to Exploring Naka-Meguro, Tokyo\",2019-03-29 10:56:37+09:00\nplaces_27238,\"I have been to University of Tokyo, Tokyo\",\"I have been to University of Tokyo, Tokyo\",2019-03-29 12:28:58+09:00\nplaces_27239,\"I have been to University of Tokyo, Tokyo\",\"I have been to University of Tokyo, Tokyo\",2019-03-29 13:04:14+09:00\nplaces_27240,\"I have been to University of Tokyo, Tokyo\",\"I have been to University of Tokyo, Tokyo\",2019-03-29 13:04:17+09:00\nplaces_27241,I have been to Tokyo's Shibadaimon,I have been to Tokyo's Shibadaimon,2019-03-29 16:15:45+09:00\nplaces_27242,I have been to Tokyo's Shibakoen,I have been to Tokyo's Shibakoen,2019-03-29 16:23:59+09:00\nplaces_27243,I have been to Tokyo's Shibakoen,I have been to Tokyo's Shibakoen,2019-03-29 16:24:02+09:00\nplaces_27244,I have been to Tokyo's Shibakoen,I have been to Tokyo's Shibakoen,2019-03-29 16:24:07+09:00\nplaces_27245,I have been to Tokyo's Shiba Junior & Senior High School,I have been to Tokyo's Shiba Junior & Senior High School,2019-03-29 16:24:56+09:00\nplaces_27246,I have been to Tokyo's Shibakoen,I have been to Tokyo's Shibakoen,2019-03-29 16:25:06+09:00\nplaces_27247,I have been to Tokyo Prince Hotel,I have been to Tokyo Prince Hotel,2019-03-29 16:26:16+09:00\nplaces_27248,I have been to Exploring Roppongi Hills,I have been to Exploring Roppongi Hills,2019-03-29 18:25:08+09:00\nplaces_27249,I have been to Exploring Roppongi Hills,I have been to Exploring Roppongi Hills,2019-03-29 18:25:24+09:00\nplaces_27250,I have been to Exploring Roppongi Hills,I have been to Exploring Roppongi Hills,2019-03-29 18:26:53+09:00\nplaces_27251,I have been to Exploring Roppongi Hills,I have been to Exploring Roppongi Hills,2019-03-29 18:27:16+09:00\nplaces_27252,\"I have been to Exploring Roppongi Hills, Tokyo\",\"I have been to Exploring Roppongi Hills, Tokyo\",2019-03-29 19:20:53+09:00\nplaces_27253,\"I have been to Exploring Roppongi Hills, Tokyo\",\"I have been to Exploring Roppongi Hills, Tokyo\",2019-03-29 21:28:05+09:00\nplaces_27254,\"I have been to Narita, Japan\",\"I have been to Narita, Japan\",2019-03-30 14:15:37+09:00\nplaces_27255,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-03-31 10:51:04+08:00\nplaces_27256,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-03-31 10:51:41+08:00\nplaces_27257,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-03-31 11:17:52+08:00\nplaces_27258,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-03-31 11:17:57+08:00\nplaces_27259,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-03-31 11:23:27+08:00\nplaces_27260,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-03-31 11:29:26+08:00\nplaces_27261,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-03-31 11:29:35+08:00\nplaces_27262,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-03-31 11:46:18+08:00\nplaces_27263,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-03-31 11:46:22+08:00\nplaces_27264,I have been to Exploring Eslite XinYi Store,I have been to Exploring Eslite XinYi Store,2019-03-31 13:38:53+08:00\nplaces_27265,I have been to Exploring Eslite XinYi Store,I have been to Exploring Eslite XinYi Store,2019-03-31 13:38:56+08:00\nplaces_27266,I have been to Exploring Taipei City Hall,I have been to Exploring Taipei City Hall,2019-03-31 14:02:19+08:00\nplaces_27267,\"I have been to Exploring Xinglong Village, Taiwan\",\"I have been to Exploring Xinglong Village, Taiwan\",2019-03-31 14:07:01+08:00\nplaces_27268,\"I have been to Exploring Xinglong Village, Taiwan\",\"I have been to Exploring Xinglong Village, Taiwan\",2019-03-31 14:08:35+08:00\nplaces_27269,\"I have been to \"\"Exploring Sun Yat-sen Memorial Hall\"\"\",\"I have been to \"\"Exploring Sun Yat-sen Memorial Hall\"\"\",2019-03-31 14:11:10+08:00\nplaces_27270,\"I have been to Bigtom美國冰淇淋咖啡館 in Chezeng, Taipei\",\"I have been to Bigtom美國冰淇淋咖啡館 in Chezeng, Taipei\",2019-03-31 14:25:17+08:00\nplaces_27271,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-04-01 11:46:03+08:00\nplaces_27272,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-04-01 11:46:13+08:00\nplaces_27273,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-04-01 11:46:18+08:00\nplaces_27274,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-04-01 11:50:40+08:00\nplaces_27275,\"I have been to Cama Cafe in Huashan, Taipei\",\"I have been to Cama Cafe in Huashan, Taipei\",2019-04-01 13:05:56+08:00\nplaces_27276,I have been to Taipei's KuanHua Market,I have been to Taipei's KuanHua Market,2019-04-01 13:10:47+08:00\nplaces_27277,I have been to Exploring Chiang Kai-shek Memorial Hall,I have been to Exploring Chiang Kai-shek Memorial Hall,2019-04-01 14:08:24+08:00\nplaces_27278,I have been to Exploring Chiang Kai-shek Memorial Hall,I have been to Exploring Chiang Kai-shek Memorial Hall,2019-04-01 14:09:49+08:00\nplaces_27279,I have been to Taipei's Democracy Boulevard,I have been to Taipei's Democracy Boulevard,2019-04-01 14:09:52+08:00\nplaces_27280,I have been to Exploring Chiang Kai-shek Memorial Hall,I have been to Exploring Chiang Kai-shek Memorial Hall,2019-04-01 14:12:25+08:00\nplaces_27281,\"I have been to Exploring Longtsakoo, Taiwan\",\"I have been to Exploring Longtsakoo, Taiwan\",2019-04-01 14:13:29+08:00\nplaces_27282,I have been to Exploring Chiang Kai-shek Memorial Hall,I have been to Exploring Chiang Kai-shek Memorial Hall,2019-04-01 14:19:18+08:00\nplaces_27283,\"I have been to Exploring Longtsakoo, Taipei\",\"I have been to Exploring Longtsakoo, Taipei\",2019-04-01 14:32:33+08:00\nplaces_27284,\"I have been to Exploring Longtsakoo, Taiwan\",\"I have been to Exploring Longtsakoo, Taiwan\",2019-04-01 14:32:43+08:00\nplaces_27285,I have been to Taipei's Liberty Square,I have been to Taipei's Liberty Square,2019-04-01 14:34:37+08:00\nplaces_27286,I have been to Photographing Platform in Taipei,I have been to Photographing Platform in Taipei,2019-04-01 18:04:00+08:00\nplaces_27287,\"I have been to Exploring Sanli Village, Taipei\",\"I have been to Exploring Sanli Village, Taipei\",2019-04-01 18:10:42+08:00\nplaces_27288,I have been to Exploring Liuhe Village Trail,I have been to Exploring Liuhe Village Trail,2019-04-01 18:16:02+08:00\nplaces_27289,I have been to Exploring Taipei: 梅花球場,I have been to Exploring Taipei: 梅花球場,2019-04-01 18:16:44+08:00\nplaces_27290,I have been to Exploring Xiangshan Tunnel,I have been to Exploring Xiangshan Tunnel,2019-04-01 18:18:23+08:00\nplaces_27291,I have been to Exploring Xiangshan Tunnel,I have been to Exploring Xiangshan Tunnel,2019-04-01 18:18:34+08:00\nplaces_27292,I have been to Exploring Taipei from the Xinyi District,I have been to Exploring Taipei from the Xinyi District,2019-04-01 18:18:54+08:00\nplaces_27293,\"I have been to Exploring Sanli Village, Taipei\",\"I have been to Exploring Sanli Village, Taipei\",2019-04-01 18:19:16+08:00\nplaces_27294,\"I have been to Exploring Sanli Village, Taipei\",\"I have been to Exploring Sanli Village, Taipei\",2019-04-01 18:27:54+08:00\nplaces_27295,\"I have been to Exploring Sanli Village, Taipei\",\"I have been to Exploring Sanli Village, Taipei\",2019-04-01 18:28:24+08:00\nplaces_27296,\"I have been to Exploring Sanli Village, Taipei\",\"I have been to Exploring Sanli Village, Taipei\",2019-04-01 18:30:30+08:00\nplaces_27297,\"I have been to Exploring Sanli Village, Taipei\",\"I have been to Exploring Sanli Village, Taipei\",2019-04-01 18:30:38+08:00\nplaces_27298,\"I have been to Exploring Sanli Village, Taipei\",\"I have been to Exploring Sanli Village, Taipei\",2019-04-01 18:30:50+08:00\nplaces_27299,\"I have been to Exploring Sanli Village, Taipei\",\"I have been to Exploring Sanli Village, Taipei\",2019-04-01 18:33:02+08:00\nplaces_27300,I have been to Photographing Platform in Taipei,I have been to Photographing Platform in Taipei,2019-04-01 18:33:52+08:00\nplaces_27301,\"I have been to \"\"Photography Platform at 101 Tower\"\"\",\"I have been to \"\"Photography Platform at 101 Tower\"\"\",2019-04-01 18:34:03+08:00\nplaces_27302,I have been to Exploring Taipei: 梅花球場,I have been to Exploring Taipei: 梅花球場,2019-04-01 18:34:13+08:00\nplaces_27303,I have been to Exploring Taipei: 梅花球場,I have been to Exploring Taipei: 梅花球場,2019-04-01 18:34:18+08:00\nplaces_27304,I have been to Exploring Taipei: 梅花球場,I have been to Exploring Taipei: 梅花球場,2019-04-01 18:44:00+08:00\nplaces_27305,I have been to Exploring Nature at 象山自然步道,I have been to Exploring Nature at 象山自然步道,2019-04-01 18:47:11+08:00\nplaces_27306,I have been to Exploring Taipei's Elephant Mountain Trail,I have been to Exploring Taipei's Elephant Mountain Trail,2019-04-01 18:54:00+08:00\nplaces_27307,\"I have been to Randall County, Texas\",\"I have been to Randall County, Texas\",2019-04-02 19:09:25-07:00\nplaces_27308,\"I have been to Randall County, Texas\",\"I have been to Randall County, Texas\",2019-04-02 19:10:05-07:00\nplaces_27309,\"I have been to Randall County, Texas\",\"I have been to Randall County, Texas\",2019-04-02 19:16:56-07:00\nplaces_27310,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-03 08:53:44-07:00\nplaces_27311,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-06 12:16:12-07:00\nplaces_27312,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-06 12:16:37-07:00\nplaces_27313,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-06 12:16:36-07:00\nplaces_27314,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-06 12:17:05-07:00\nplaces_27315,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-06 12:17:19-07:00\nplaces_27316,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-06 12:17:32-07:00\nplaces_27317,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-06 12:17:40-07:00\nplaces_27318,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-10 15:59:42-07:00\nplaces_27319,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-10 15:59:41-07:00\nplaces_27320,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-11 16:03:08-07:00\nplaces_27321,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-11 17:50:51-07:00\nplaces_27322,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-11 17:50:53-07:00\nplaces_27323,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-11 17:51:04-07:00\nplaces_27324,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-11 17:51:03-07:00\nplaces_27325,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-13 13:08:12-07:00\nplaces_27326,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-13 13:23:32-07:00\nplaces_27327,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-13 13:23:49-07:00\nplaces_27328,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-13 13:24:21-07:00\nplaces_27329,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-14 08:23:09-07:00\nplaces_27330,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-14 08:23:14-07:00\nplaces_27331,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-14 11:09:42-07:00\nplaces_27332,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-14 11:09:56-07:00\nplaces_27333,I have been to Vancouver's Canada Place,I have been to Vancouver's Canada Place,2019-04-14 19:19:06-07:00\nplaces_27334,I have been to Vancouver's Canada Place,I have been to Vancouver's Canada Place,2019-04-14 19:28:23-07:00\nplaces_27335,\"I have been to Exploring Gastown, Vancouver\",\"I have been to Exploring Gastown, Vancouver\",2019-04-14 20:40:40-07:00\nplaces_27336,I have been to Vancouver's Canada Place,I have been to Vancouver's Canada Place,2019-04-15 08:03:01-07:00\nplaces_27337,I have been to Vancouver's Canada Place,I have been to Vancouver's Canada Place,2019-04-15 08:03:20-07:00\nplaces_27338,I have been to Vancouver's Canada Place,I have been to Vancouver's Canada Place,2019-04-15 12:16:09-07:00\nplaces_27339,\"I have been to Luxury in Gastown, Vancouver\",\"I have been to Luxury in Gastown, Vancouver\",2019-04-15 12:34:01-07:00\nplaces_27340,I have been to Gastown Nail Salon,I have been to Gastown Nail Salon,2019-04-15 13:45:18-07:00\nplaces_27341,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 13:47:29-07:00\nplaces_27342,I have been to Gastown Nail Salon,I have been to Gastown Nail Salon,2019-04-15 13:47:35-07:00\nplaces_27343,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 14:19:43-07:00\nplaces_27344,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 14:19:45-07:00\nplaces_27345,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 14:19:50-07:00\nplaces_27346,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 14:19:55-07:00\nplaces_27347,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 14:19:56-07:00\nplaces_27348,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 14:20:02-07:00\nplaces_27349,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 14:20:03-07:00\nplaces_27350,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 14:20:07-07:00\nplaces_27351,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 14:20:07-07:00\nplaces_27352,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 14:20:08-07:00\nplaces_27353,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 14:20:19-07:00\nplaces_27354,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 14:20:20-07:00\nplaces_27355,I have been to Gastown's Bellaggio Café & Gelateria,I have been to Gastown's Bellaggio Café & Gelateria,2019-04-15 15:21:26-07:00\nplaces_27356,I have been to Vancouver's Canada Place,I have been to Vancouver's Canada Place,2019-04-15 15:25:50-07:00\nplaces_27357,I have been to Vancouver's Canada Place,I have been to Vancouver's Canada Place,2019-04-15 15:25:58-07:00\nplaces_27358,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 17:05:24-07:00\nplaces_27359,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 17:16:37-07:00\nplaces_27360,I have been to Gastown Nail Salon,I have been to Gastown Nail Salon,2019-04-15 18:13:08-07:00\nplaces_27361,I have been to Gastown Nail Salon,I have been to Gastown Nail Salon,2019-04-15 18:30:43-07:00\nplaces_27362,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 18:30:48-07:00\nplaces_27363,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 18:31:20-07:00\nplaces_27364,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 18:31:22-07:00\nplaces_27365,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 18:34:27-07:00\nplaces_27366,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-15 18:53:48-07:00\nplaces_27367,I have been to Vancouver's Olympic Cauldron,I have been to Vancouver's Olympic Cauldron,2019-04-15 20:31:18-07:00\nplaces_27368,I have been to Vancouver's Shaw Tower,I have been to Vancouver's Shaw Tower,2019-04-16 07:52:35-07:00\nplaces_27369,I have been to Vancouver's Shaw Tower,I have been to Vancouver's Shaw Tower,2019-04-16 07:52:38-07:00\nplaces_27370,I have been to Vancouver's Shaw Tower,I have been to Vancouver's Shaw Tower,2019-04-16 07:52:47-07:00\nplaces_27371,I have been to Vancouver's Shaw Tower,I have been to Vancouver's Shaw Tower,2019-04-16 07:52:51-07:00\nplaces_27372,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-16 10:02:50-07:00\nplaces_27373,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-16 10:35:31-07:00\nplaces_27374,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-16 11:19:47-07:00\nplaces_27375,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-16 11:33:45-07:00\nplaces_27376,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-16 12:43:45-07:00\nplaces_27377,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-16 12:43:50-07:00\nplaces_27378,I have been to Vancouver's Olympic Cauldron,I have been to Vancouver's Olympic Cauldron,2019-04-16 15:58:10-07:00\nplaces_27379,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-16 18:44:28-07:00\nplaces_27380,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 08:56:50-07:00\nplaces_27381,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 09:16:52-07:00\nplaces_27382,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 09:30:42-07:00\nplaces_27383,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 09:34:50-07:00\nplaces_27384,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 09:51:56-07:00\nplaces_27385,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 11:32:25-07:00\nplaces_27386,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 12:32:29-07:00\nplaces_27387,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 12:35:17-07:00\nplaces_27388,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 12:35:20-07:00\nplaces_27389,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 12:43:24-07:00\nplaces_27390,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 12:43:27-07:00\nplaces_27391,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 13:44:56-07:00\nplaces_27392,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 18:34:48-07:00\nplaces_27393,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-17 18:37:48-07:00\nplaces_27394,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 09:00:47-07:00\nplaces_27395,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 09:25:03-07:00\nplaces_27396,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 10:00:34-07:00\nplaces_27397,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 11:45:23-07:00\nplaces_27398,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 11:48:54-07:00\nplaces_27399,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 12:01:17-07:00\nplaces_27400,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 12:03:14-07:00\nplaces_27401,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 12:18:17-07:00\nplaces_27402,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 12:29:21-07:00\nplaces_27403,I have been to Vancouver's Canada Place,I have been to Vancouver's Canada Place,2019-04-18 16:25:56-07:00\nplaces_27404,I have been to Vancouver's Canada Place,I have been to Vancouver's Canada Place,2019-04-18 16:26:01-07:00\nplaces_27405,I have been to Vancouver's Canada Place,I have been to Vancouver's Canada Place,2019-04-18 16:26:04-07:00\nplaces_27406,I have been to Vancouver's Canada Place,I have been to Vancouver's Canada Place,2019-04-18 16:26:07-07:00\nplaces_27407,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 17:10:13-07:00\nplaces_27408,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 17:10:17-07:00\nplaces_27409,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 17:27:02-07:00\nplaces_27410,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 17:54:04-07:00\nplaces_27411,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 19:46:42-07:00\nplaces_27412,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-18 19:46:47-07:00\nplaces_27413,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-19 11:21:20-07:00\nplaces_27414,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-19 11:22:29-07:00\nplaces_27415,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-19 11:34:21-07:00\nplaces_27416,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-19 11:37:25-07:00\nplaces_27417,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-19 11:38:46-07:00\nplaces_27418,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-19 11:39:45-07:00\nplaces_27419,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-19 11:41:51-07:00\nplaces_27420,I have been to Vancouver Convention Centre West,I have been to Vancouver Convention Centre West,2019-04-19 11:42:16-07:00\nplaces_27421,\"I have been to Old School Iron in Amarillo, TX\",\"I have been to Old School Iron in Amarillo, TX\",2019-04-20 11:12:11-07:00\nplaces_27422,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-20 13:02:58-07:00\nplaces_27423,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-20 14:04:32-07:00\nplaces_27424,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-20 17:58:49-07:00\nplaces_27425,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-20 17:58:54-07:00\nplaces_27426,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-21 10:33:26-07:00\nplaces_27427,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-21 11:39:34-07:00\nplaces_27428,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-21 11:39:50-07:00\nplaces_27429,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-21 11:41:20-07:00\nplaces_27430,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-21 11:41:39-07:00\nplaces_27431,\"I have been to Exploring Randall County, Texas\",\"I have been to Exploring Randall County, Texas\",2019-04-22 19:13:15-07:00\nplaces_27432,\"I have been to Exploring Randall County, Texas\",\"I have been to Exploring Randall County, Texas\",2019-04-22 19:24:01-07:00\nplaces_27433,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-23 08:14:56-07:00\nplaces_27434,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-23 08:14:55-07:00\nplaces_27435,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-23 09:58:20-07:00\nplaces_27436,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-23 12:25:08-07:00\nplaces_27437,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-24 18:32:53-07:00\nplaces_27438,\"I have been to Exploring Mather Point, Grand Canyon\",\"I have been to Exploring Mather Point, Grand Canyon\",2019-04-24 18:35:19-07:00\nplaces_27439,\"I have been to Exploring Mather Point, Grand Canyon\",\"I have been to Exploring Mather Point, Grand Canyon\",2019-04-24 18:35:28-07:00\nplaces_27440,\"I have been to Exploring Mather Point, Grand Canyon\",\"I have been to Exploring Mather Point, Grand Canyon\",2019-04-24 18:35:38-07:00\nplaces_27441,\"I have been to Exploring Mather Point, Grand Canyon\",\"I have been to Exploring Mather Point, Grand Canyon\",2019-04-24 18:40:38-07:00\nplaces_27442,\"I have been to Exploring Mather Point, Grand Canyon\",\"I have been to Exploring Mather Point, Grand Canyon\",2019-04-24 18:40:41-07:00\nplaces_27443,\"I have been to Exploring Mather Point, Grand Canyon\",\"I have been to Exploring Mather Point, Grand Canyon\",2019-04-24 18:41:36-07:00\nplaces_27444,\"I have been to Exploring Mather Point, Grand Canyon\",\"I have been to Exploring Mather Point, Grand Canyon\",2019-04-24 18:41:41-07:00\nplaces_27445,\"I have been to Exploring Mather Point, Grand Canyon\",\"I have been to Exploring Mather Point, Grand Canyon\",2019-04-24 18:41:43-07:00\nplaces_27446,\"I have been to Exploring Mather Point, Grand Canyon\",\"I have been to Exploring Mather Point, Grand Canyon\",2019-04-24 18:41:46-07:00\nplaces_27447,\"I have been to Exploring Mather Point, Grand Canyon\",\"I have been to Exploring Mather Point, Grand Canyon\",2019-04-24 18:43:55-07:00\nplaces_27448,\"I have been to Exploring Mather Point, Grand Canyon\",\"I have been to Exploring Mather Point, Grand Canyon\",2019-04-24 18:45:25-07:00\nplaces_27449,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-24 18:50:35-07:00\nplaces_27450,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-24 18:52:17-07:00\nplaces_27451,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-24 18:52:16-07:00\nplaces_27452,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-24 18:55:48-07:00\nplaces_27453,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-24 18:55:59-07:00\nplaces_27454,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-24 18:59:17-07:00\nplaces_27455,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-24 18:59:23-07:00\nplaces_27456,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-24 18:59:30-07:00\nplaces_27457,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-24 19:06:22-07:00\nplaces_27458,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-24 19:07:27-07:00\nplaces_27459,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-24 19:10:19-07:00\nplaces_27460,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-24 19:10:24-07:00\nplaces_27461,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:13:51-07:00\nplaces_27462,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:13:55-07:00\nplaces_27463,I have been to Exploring Yavapai Lodge Road,I have been to Exploring Yavapai Lodge Road,2019-04-24 19:15:23-07:00\nplaces_27464,I have been to Exploring Arizona's Geology at Yavapai Museum,I have been to Exploring Arizona's Geology at Yavapai Museum,2019-04-24 19:16:48-07:00\nplaces_27465,I have been to Exploring Arizona's Geology at Yavapai Museum,I have been to Exploring Arizona's Geology at Yavapai Museum,2019-04-24 19:16:52-07:00\nplaces_27466,I have been to Exploring Arizona's Geology at Yavapai Museum,I have been to Exploring Arizona's Geology at Yavapai Museum,2019-04-24 19:16:56-07:00\nplaces_27467,I have been to Exploring Arizona's Geology at Yavapai Museum,I have been to Exploring Arizona's Geology at Yavapai Museum,2019-04-24 19:16:59-07:00\nplaces_27468,I have been to Exploring Arizona's Geology at Yavapai Museum,I have been to Exploring Arizona's Geology at Yavapai Museum,2019-04-24 19:17:03-07:00\nplaces_27469,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:19:38-07:00\nplaces_27470,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:19:40-07:00\nplaces_27471,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:19:44-07:00\nplaces_27472,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:19:51-07:00\nplaces_27473,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:20:08-07:00\nplaces_27474,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:20:16-07:00\nplaces_27475,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:20:19-07:00\nplaces_27476,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:20:25-07:00\nplaces_27477,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:20:32-07:00\nplaces_27478,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:20:35-07:00\nplaces_27479,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:20:37-07:00\nplaces_27480,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:20:39-07:00\nplaces_27481,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:20:40-07:00\nplaces_27482,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:21:41-07:00\nplaces_27483,\"I have been to Exploring Yavapai Point, Grand Canyon\",\"I have been to Exploring Yavapai Point, Grand Canyon\",2019-04-24 19:21:48-07:00\nplaces_27484,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:37:52-07:00\nplaces_27485,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-25 05:39:19-07:00\nplaces_27486,I have been to Exploring Yavapai Lodge Road,I have been to Exploring Yavapai Lodge Road,2019-04-25 05:41:32-07:00\nplaces_27487,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:42:07-07:00\nplaces_27488,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:42:46-07:00\nplaces_27489,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:42:53-07:00\nplaces_27490,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:43:32-07:00\nplaces_27491,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:43:36-07:00\nplaces_27492,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:43:42-07:00\nplaces_27493,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:43:47-07:00\nplaces_27494,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:43:52-07:00\nplaces_27495,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:44:01-07:00\nplaces_27496,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:44:16-07:00\nplaces_27497,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:44:18-07:00\nplaces_27498,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:44:23-07:00\nplaces_27499,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:45:05-07:00\nplaces_27500,I have been to Exploring Yavapai Lodge Road,I have been to Exploring Yavapai Lodge Road,2019-04-25 05:46:17-07:00\nplaces_27501,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:46:26-07:00\nplaces_27502,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:47:17-07:00\nplaces_27503,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:47:39-07:00\nplaces_27504,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:47:50-07:00\nplaces_27505,I have been to Exploring Mather Point,I have been to Exploring Mather Point,2019-04-25 05:47:49-07:00\nplaces_27506,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-25 05:54:16-07:00\nplaces_27507,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-25 05:54:36-07:00\nplaces_27508,\"I have been to Exploring Mather Point, Grand Canyon\",\"I have been to Exploring Mather Point, Grand Canyon\",2019-04-25 05:59:41-07:00\nplaces_27509,I have been to Exploring Yavapai Lodge Road,I have been to Exploring Yavapai Lodge Road,2019-04-25 06:10:13-07:00\nplaces_27510,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-25 06:40:46-07:00\nplaces_27511,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-25 06:43:27-07:00\nplaces_27512,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-25 07:03:31-07:00\nplaces_27513,\"I have been to \"\"Exploring the Grand Canyon\"\"\",\"I have been to \"\"Exploring the Grand Canyon\"\"\",2019-04-25 07:21:47-07:00\nplaces_27514,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-25 07:27:41-07:00\nplaces_27515,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-25 07:27:43-07:00\nplaces_27516,I have been to Exploring the Grand Canyon,I have been to Exploring the Grand Canyon,2019-04-25 08:54:45-07:00\nplaces_27517,I have been to Exploring Uptown Sedona,I have been to Exploring Uptown Sedona,2019-04-25 14:37:44-07:00\nplaces_27518,I have been to Exploring Uptown Sedona,I have been to Exploring Uptown Sedona,2019-04-25 14:37:52-07:00\nplaces_27519,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 14:37:59-07:00\nplaces_27520,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 14:38:09-07:00\nplaces_27521,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 14:38:15-07:00\nplaces_27522,I have been to Exploring Uptown Sedona,I have been to Exploring Uptown Sedona,2019-04-25 14:38:48-07:00\nplaces_27523,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 14:39:05-07:00\nplaces_27524,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 14:49:04-07:00\nplaces_27525,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 14:49:31-07:00\nplaces_27526,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 14:49:33-07:00\nplaces_27527,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 14:49:34-07:00\nplaces_27528,I have been to Sedona Airport View,I have been to Sedona Airport View,2019-04-25 17:54:13-07:00\nplaces_27529,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 18:01:35-07:00\nplaces_27530,\"I have been to Exploring Oak Creek Dev No. 1, Sedona\",\"I have been to Exploring Oak Creek Dev No. 1, Sedona\",2019-04-25 18:03:14-07:00\nplaces_27531,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 18:15:41-07:00\nplaces_27532,\"I have been to Exploring Sedona, Arizona\",\"I have been to Exploring Sedona, Arizona\",2019-04-25 18:22:55-07:00\nplaces_27533,\"I have been to \"\"Exploring Sedona's Airport Mesa Viewpoint\"\"\",\"I have been to \"\"Exploring Sedona's Airport Mesa Viewpoint\"\"\",2019-04-25 18:24:57-07:00\nplaces_27534,\"I have been to \"\"Exploring Sedona's Airport Mesa Viewpoint\"\"\",\"I have been to \"\"Exploring Sedona's Airport Mesa Viewpoint\"\"\",2019-04-25 18:25:06-07:00\nplaces_27535,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-25 18:42:55-07:00\nplaces_27536,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 18:43:03-07:00\nplaces_27537,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 18:43:05-07:00\nplaces_27538,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 18:43:14-07:00\nplaces_27539,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 18:43:22-07:00\nplaces_27540,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 18:43:39-07:00\nplaces_27541,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 18:43:43-07:00\nplaces_27542,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 18:43:58-07:00\nplaces_27543,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 18:44:04-07:00\nplaces_27545,I have been to Exploring Sedona's Airport Loop Trail,I have been to Exploring Sedona's Airport Loop Trail,2019-04-25 18:53:16-07:00\nplaces_27546,\"I have been to Sedona Airport, Arizona\",\"I have been to Sedona Airport, Arizona\",2019-04-25 18:56:35-07:00\nplaces_27547,\"I have been to Sedona Airport, Arizona\",\"I have been to Sedona Airport, Arizona\",2019-04-25 18:56:37-07:00\nplaces_27548,\"I have been to Exploring Sedona, AZ\",\"I have been to Exploring Sedona, AZ\",2019-04-25 19:01:34-07:00\nplaces_27549,I have been to Sedona Airport View,I have been to Sedona Airport View,2019-04-25 19:08:31-07:00\nplaces_27550,I have been to Sedona Airport View,I have been to Sedona Airport View,2019-04-25 19:08:41-07:00\nplaces_27551,I have been to Sedona Airport View,I have been to Sedona Airport View,2019-04-25 19:08:56-07:00\nplaces_27552,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:38:22-07:00\nplaces_27553,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:38:48-07:00\nplaces_27554,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:38:51-07:00\nplaces_27555,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:39:19-07:00\nplaces_27556,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:39:24-07:00\nplaces_27557,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:39:28-07:00\nplaces_27558,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:39:38-07:00\nplaces_27559,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:39:46-07:00\nplaces_27560,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:39:48-07:00\nplaces_27561,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:42:14-07:00\nplaces_27562,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:43:59-07:00\nplaces_27563,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:44:02-07:00\nplaces_27564,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:44:25-07:00\nplaces_27565,\"I have been to \"\"Exploring Sedona, Arizona\"\"\",\"I have been to \"\"Exploring Sedona, Arizona\"\"\",2019-04-26 10:44:29-07:00\nplaces_27566,I have been to Exploring Arizona's Western Navajo Agency,I have been to Exploring Arizona's Western Navajo Agency,2019-04-26 15:57:32-06:00\nplaces_27567,I have been to Exploring Arizona's Western Navajo Agency,I have been to Exploring Arizona's Western Navajo Agency,2019-04-26 15:57:35-06:00\nplaces_27568,I have been to Exploring Arizona's Western Navajo Agency,I have been to Exploring Arizona's Western Navajo Agency,2019-04-26 15:58:00-06:00\nplaces_27569,\"I have been to Exploring Bitter Springs, Arizona\",\"I have been to Exploring Bitter Springs, Arizona\",2019-04-26 16:12:26-06:00\nplaces_27570,\"I have been to Exploring Bitter Springs, Arizona\",\"I have been to Exploring Bitter Springs, Arizona\",2019-04-26 16:12:25-06:00\nplaces_27571,\"I have been to Exploring Bitter Springs, Arizona\",\"I have been to Exploring Bitter Springs, Arizona\",2019-04-26 16:12:48-06:00\nplaces_27598,I have been to Exploring Lake Powell Resort,I have been to Exploring Lake Powell Resort,2019-04-26 18:03:53-07:00\nplaces_27599,I have been to Exploring Lake Powell Resort,I have been to Exploring Lake Powell Resort,2019-04-26 18:04:06-07:00\nplaces_27600,I have been to Exploring Lake Powell Resort,I have been to Exploring Lake Powell Resort,2019-04-27 08:00:20-07:00\nplaces_27605,I have been to Exploring Lake Powell Resort,I have been to Exploring Lake Powell Resort,2019-04-27 09:03:39-07:00\nplaces_27607,I have been to Exploring Lake Powell Resort,I have been to Exploring Lake Powell Resort,2019-04-27 09:38:35-07:00\nplaces_27609,I have been to Exploring Wahweap's Navajo Viewpoint,I have been to Exploring Wahweap's Navajo Viewpoint,2019-04-27 10:38:44-07:00\nplaces_27610,\"I have been to Exploring Garfield County, Utah\",\"I have been to Exploring Garfield County, Utah\",2019-04-27 15:47:52-06:00\nplaces_27611,\"I have been to Exploring Garfield County, Utah\",\"I have been to Exploring Garfield County, Utah\",2019-04-27 15:48:04-06:00\nplaces_27612,\"I have been to Tropic, Utah\",\"I have been to Tropic, Utah\",2019-04-27 16:17:22-06:00\nplaces_27613,\"I have been to \"\"Sunset Point in Utah\"\"\",\"I have been to \"\"Sunset Point in Utah\"\"\",2019-04-27 17:37:11-06:00\nplaces_27614,I have been to Exploring Utah's Navajo Loop Trail,I have been to Exploring Utah's Navajo Loop Trail,2019-04-27 17:39:13-06:00\nplaces_27615,I have been to Exploring Utah's Navajo Loop Trail,I have been to Exploring Utah's Navajo Loop Trail,2019-04-27 17:39:16-06:00\nplaces_27616,I have been to Exploring Utah's Navajo Loop Trail,I have been to Exploring Utah's Navajo Loop Trail,2019-04-27 17:39:19-06:00\nplaces_27617,I have been to Exploring Utah's Navajo Loop Trail,I have been to Exploring Utah's Navajo Loop Trail,2019-04-27 17:39:22-06:00\nplaces_27618,I have been to Exploring Utah's Navajo Loop Trail,I have been to Exploring Utah's Navajo Loop Trail,2019-04-27 17:39:31-06:00\nplaces_27619,I have been to Exploring Utah's Navajo Loop Trail,I have been to Exploring Utah's Navajo Loop Trail,2019-04-27 17:39:33-06:00\nplaces_27620,I have been to Exploring Utah's Rim Trail,I have been to Exploring Utah's Rim Trail,2019-04-27 17:39:41-06:00\nplaces_27621,I have been to Exploring Utah's Rim Trail,I have been to Exploring Utah's Rim Trail,2019-04-27 17:39:43-06:00\nplaces_27622,I have been to Exploring Utah's Rim Trail,I have been to Exploring Utah's Rim Trail,2019-04-27 17:45:04-06:00\nplaces_27623,I have been to Exploring Utah's Rim Trail,I have been to Exploring Utah's Rim Trail,2019-04-27 18:00:27-06:00\nplaces_27624,I have been to Exploring Utah's Rim Trail,I have been to Exploring Utah's Rim Trail,2019-04-27 18:05:34-06:00\nplaces_27625,I have been to Exploring Utah's Queen's Garden Trail,I have been to Exploring Utah's Queen's Garden Trail,2019-04-27 18:14:23-06:00\nplaces_27626,I have been to Exploring Utah's Queen's Garden Trail,I have been to Exploring Utah's Queen's Garden Trail,2019-04-27 18:18:42-06:00\nplaces_27627,I have been to Exploring Utah's Queen's Garden Trail,I have been to Exploring Utah's Queen's Garden Trail,2019-04-27 18:18:47-06:00\nplaces_27628,I have been to Exploring Utah's Queen's Garden Trail,I have been to Exploring Utah's Queen's Garden Trail,2019-04-27 18:18:51-06:00\nplaces_27629,I have been to Exploring Utah's Queen's Garden Trail,I have been to Exploring Utah's Queen's Garden Trail,2019-04-27 18:20:03-06:00\nplaces_27630,I have been to Exploring Utah's Queen's Garden Trail,I have been to Exploring Utah's Queen's Garden Trail,2019-04-27 18:20:12-06:00\nplaces_27631,I have been to Exploring Utah's Queen's Garden Trail,I have been to Exploring Utah's Queen's Garden Trail,2019-04-27 18:27:33-06:00\nplaces_27632,I have been to Exploring Utah's Queen's Garden Trail,I have been to Exploring Utah's Queen's Garden Trail,2019-04-27 18:28:52-06:00\nplaces_27633,I have been to Exploring Utah's Queen's Garden Trail,I have been to Exploring Utah's Queen's Garden Trail,2019-04-27 18:28:57-06:00\nplaces_27634,I have been to Exploring Utah's Queen's Garden Trail,I have been to Exploring Utah's Queen's Garden Trail,2019-04-27 18:28:59-06:00\nplaces_27635,I have been to Exploring Utah's Queen's Garden Trail,I have been to Exploring Utah's Queen's Garden Trail,2019-04-27 18:34:01-06:00\nplaces_27637,\"I have been to Tropic, Utah\",\"I have been to Tropic, Utah\",2019-04-27 18:43:44-06:00\nplaces_27638,\"I have been to Tropic, Utah\",\"I have been to Tropic, Utah\",2019-04-27 18:43:48-06:00\nplaces_27639,I have been to Exploring Utah's Queen's Garden Trail,I have been to Exploring Utah's Queen's Garden Trail,2019-04-27 18:50:14-06:00\nplaces_27640,I have been to Exploring Utah's Queen's Garden Trail,I have been to Exploring Utah's Queen's Garden Trail,2019-04-27 19:13:37-06:00\nplaces_27641,I have been to Exploring Utah's Rim Trail,I have been to Exploring Utah's Rim Trail,2019-04-27 19:34:15-06:00\nplaces_27642,\"I have been to \"\"Texas Home on Greg Street\"\"\",\"I have been to \"\"Texas Home on Greg Street\"\"\",2019-04-29 11:49:07-07:00\npurchase_0,\"I purchased Dr. Earth 713 Organic 9 Fruit Tree Fertilizer, 12-Pound from Amazon\",\"I purchased Dr. Earth 713 Organic 9 Fruit Tree Fertilizer, 12-Pound from Amazon\",2019-03-26T16:29:16\npurchase_1,\"I purchased Miracle-Gro Citrus, Avocado, & Mango Food, 20 lb. from Amazon\",\"I purchased Miracle-Gro Citrus, Avocado, & Mango Food, 20 lb. from Amazon\",2019-03-26T16:28:27\npurchase_2,\"I purchased 63\"\" Garden Leaf Rake 38\"\"-63\"\"Adjustable Garden Rake,25 tines, Metal Rake for Quick Clean Up of Lawn and Yard from Amazon\",\"I purchased 63\"\" Garden Leaf Rake 38\"\"-63\"\"Adjustable Garden Rake,25 tines, Metal Rake for Quick Clean Up of Lawn and Yard from Amazon\",2019-03-25T17:19:27\npurchase_3,\"I purchased Secret Antiperspirant Clinical Strength Deodorant for Women, Clear Gel, Completely Clean, 2.6 oz from Amazon\",\"I purchased Secret Antiperspirant Clinical Strength Deodorant for Women, Clear Gel, Completely Clean, 2.6 oz from Amazon\",2019-03-23T03:42:11\npurchase_4,I purchased Amazon Basics Ultra Facial Tissue with Lotion18 Cube Boxes - 75 Tissues per Box -1350 Tissues Total (Previously Solimo) from Amazon,I purchased Amazon Basics Ultra Facial Tissue with Lotion18 Cube Boxes - 75 Tissues per Box -1350 Tissues Total (Previously Solimo) from Amazon,2019-03-13T20:42:12\npurchase_5,I purchased ejet Compatible Toner Cartridge Replacement for Brother TN450 TN420 TN-450 TN-420 for HL-2270DW HL-2280DW HL-2230 HL-2240 7360N 7860DW 7065DN Intellif from Amazon,I purchased ejet Compatible Toner Cartridge Replacement for Brother TN450 TN420 TN-450 TN-420 for HL-2270DW HL-2280DW HL-2230 HL-2240 7360N 7860DW 7065DN Intellif from Amazon,2019-03-13T00:23:01\npurchase_6,\"I purchased Hanes Men's Pocket T-Shirt Pack, Cotton Crewneck Pocket Tees 6-Pack, Moisture-Wicking Cotton T-Shirt Assorted 6-Pack from Amazon\",\"I purchased Hanes Men's Pocket T-Shirt Pack, Cotton Crewneck Pocket Tees 6-Pack, Moisture-Wicking Cotton T-Shirt Assorted 6-Pack from Amazon\",2019-03-12T16:59:59\npurchase_7,\"I purchased Neutrogena Ultra Sheer Dry-Touch Water Resistant and Non-Greasy Sunscreen Lotion with Broad Spectrum SPF 70, 3 Fl Oz (Pack of 1) from Amazon\",\"I purchased Neutrogena Ultra Sheer Dry-Touch Water Resistant and Non-Greasy Sunscreen Lotion with Broad Spectrum SPF 70, 3 Fl Oz (Pack of 1) from Amazon\",2019-03-12T16:59:59\npurchase_8,I purchased 100% Natural Boar Bristle Body Brush with Contoured Wooden Handle by TOUCH ME from Amazon,I purchased 100% Natural Boar Bristle Body Brush with Contoured Wooden Handle by TOUCH ME from Amazon,2019-03-10T04:27:17\npurchase_9,\"I purchased Amazon Brand - Solimo 70% Ethyl Rubbing Alcohol First Aid Antiseptic, 16 Fluid Ounces from Amazon\",\"I purchased Amazon Brand - Solimo 70% Ethyl Rubbing Alcohol First Aid Antiseptic, 16 Fluid Ounces from Amazon\",2019-03-10T04:27:17\npurchase_10,\"I purchased Deseret Deals Boy Scout Neckerchief Slide - Metal Kerchief Woggle, for Cub Scouts and Varsity Scouts (2 Pack) from Amazon\",\"I purchased Deseret Deals Boy Scout Neckerchief Slide - Metal Kerchief Woggle, for Cub Scouts and Varsity Scouts (2 Pack) from Amazon\",2019-03-10T04:27:17\npurchase_11,I purchased Hiking Pants for Men Convertible Zip Off Boy Scout Quick Dry Lightweight Cargo Travel Safari Pants (ZB02 Army Green 34) from Amazon,I purchased Hiking Pants for Men Convertible Zip Off Boy Scout Quick Dry Lightweight Cargo Travel Safari Pants (ZB02 Army Green 34) from Amazon,2019-03-10T04:27:17\npurchase_12,\"I purchased Microfiber Spray Mop for Floor Cleaning, Dry Wet Wood Floor Mop with 3 pcs Washable Pads, Handle Flat Mop with Sprayer for Kitchen Wood Floor Hardwood from Amazon\",\"I purchased Microfiber Spray Mop for Floor Cleaning, Dry Wet Wood Floor Mop with 3 pcs Washable Pads, Handle Flat Mop with Sprayer for Kitchen Wood Floor Hardwood from Amazon\",2019-03-10T04:27:17\npurchase_13,\"I purchased Airbee Plastic Spray Bottles 2 Pack 16 Oz for Cleaning Solutions, Planting, Pet, Bleach Spray, Vinegar, Professional Empty Spraying Bottle, Mist Water from Amazon\",\"I purchased Airbee Plastic Spray Bottles 2 Pack 16 Oz for Cleaning Solutions, Planting, Pet, Bleach Spray, Vinegar, Professional Empty Spraying Bottle, Mist Water from Amazon\",2019-03-10T04:27:17\npurchase_14,I purchased 21 Lessons for the 21st Century from Amazon,I purchased 21 Lessons for the 21st Century from Amazon,2019-04-11T03:41:12\npurchase_15,\"I purchased Nudge: Improving Decisions About Health, Wealth, and Happiness from Amazon\",\"I purchased Nudge: Improving Decisions About Health, Wealth, and Happiness from Amazon\",2019-04-11T03:41:12\npurchase_16,I purchased How to Be an Antiracist from Amazon,I purchased How to Be an Antiracist from Amazon,2019-04-11T03:41:12\npurchase_17,\"I purchased Predictably Irrational, Revised and Expanded Edition: The Hidden Forces That Shape Our Decisions from Amazon\",\"I purchased Predictably Irrational, Revised and Expanded Edition: The Hidden Forces That Shape Our Decisions from Amazon\",2019-04-11T03:41:12\npurchase_18,\"I purchased Thinking, Fast and Slow from Amazon\",\"I purchased Thinking, Fast and Slow from Amazon\",2019-04-11T03:41:12\npurchase_19,I purchased The Ministry for the Future: A Novel from Amazon,I purchased The Ministry for the Future: A Novel from Amazon,2019-04-11T03:41:12\npurchase_20,\"I purchased Oral-B Complete Glide Dental Floss Picks Plus Scope Outlast, Long Lasting Mint, 75 Dental Floss Picks, Pack of 6 from Amazon\",\"I purchased Oral-B Complete Glide Dental Floss Picks Plus Scope Outlast, Long Lasting Mint, 75 Dental Floss Picks, Pack of 6 from Amazon\",2019-04-10T02:22:56\npurchase_21,I purchased The Bitcoin Standard: The Decentralized Alternative to Central Banking from Amazon,I purchased The Bitcoin Standard: The Decentralized Alternative to Central Banking from Amazon,2019-04-05T20:59:13\npurchase_22,I purchased UpNUpCo Artistic Beautiful Anti Fatigue Kitchen Floor Mat - Unique Floor Mats - Pain Relief Padded Kitchen Mats - Floor Mats For In Front Of Sink - Me from Amazon,I purchased UpNUpCo Artistic Beautiful Anti Fatigue Kitchen Floor Mat - Unique Floor Mats - Pain Relief Padded Kitchen Mats - Floor Mats For In Front Of Sink - Me from Amazon,2019-03-10T20:32:00\npurchase_23,I purchased Fiskars 46 Inch Steel D-handle Digging Shovel from Amazon,I purchased Fiskars 46 Inch Steel D-handle Digging Shovel from Amazon,2019-03-03T17:40:07\npurchase_24,\"I purchased AP World History: Modern Premium, 2022-2023: 5 Practice Tests + Comprehensive Review + Online Practice (Barron's Test Prep) from Amazon\",\"I purchased AP World History: Modern Premium, 2022-2023: 5 Practice Tests + Comprehensive Review + Online Practice (Barron's Test Prep) from Amazon\",2019-04-28T22:57:54\npurchase_25,\"I purchased [3-Pack] European Travel Plug Adapter, VINTAR International Power Adaptor with 2 USB Ports,2 American Outlets- 4 in 1 European Plug Adapter for France from Amazon\",\"I purchased [3-Pack] European Travel Plug Adapter, VINTAR International Power Adaptor with 2 USB Ports,2 American Outlets- 4 in 1 European Plug Adapter for France from Amazon\",2019-04-20T04:53:01\npurchase_26,I purchased Meta Quest 2 - Advanced All-In-One Virtual Reality Headset - 128 GB from Amazon,I purchased Meta Quest 2 - Advanced All-In-One Virtual Reality Headset - 128 GB from Amazon,2019-04-18T22:28:47\npurchase_27,I purchased Artizen 30ml Oils - Lavender Essential Oil - 1 Fluid Ounce from Amazon,I purchased Artizen 30ml Oils - Lavender Essential Oil - 1 Fluid Ounce from Amazon,2019-04-18T02:11:57\npurchase_28,\"I purchased Shea Butter Yellow Smooth | All Natural, 100% Pure- Unrefined | Daily Skin Moisturizer For Face & Body | Softens Tough Skin | Moisturizes Dry Skin | A from Amazon\",\"I purchased Shea Butter Yellow Smooth | All Natural, 100% Pure- Unrefined | Daily Skin Moisturizer For Face & Body | Softens Tough Skin | Moisturizes Dry Skin | A from Amazon\",2019-04-18T02:08:21\npurchase_29,\"I purchased Alternative Imagination 100% Pure Beeswax Bar (1 Ounce), Made in USA from Amazon\",\"I purchased Alternative Imagination 100% Pure Beeswax Bar (1 Ounce), Made in USA from Amazon\",2019-04-18T02:03:55\npurchase_30,I purchased Go Gently: Actionable Steps to Nurture Yourself and the Planet from Amazon,I purchased Go Gently: Actionable Steps to Nurture Yourself and the Planet from Amazon,2019-04-16T18:53:52\npurchase_31,I purchased Joico HydraSplash Hydrating Gelée Masque | Replenish Hydration | Add Shine | For Fine / Medium / Dry Hair from Amazon,I purchased Joico HydraSplash Hydrating Gelée Masque | Replenish Hydration | Add Shine | For Fine / Medium / Dry Hair from Amazon,2019-03-30T18:03:45\npurchase_32,\"I purchased Secret Antiperspirant Clinical Strength Deodorant for Women, Clear Gel, Completely Clean, 2.6 oz from Amazon\",\"I purchased Secret Antiperspirant Clinical Strength Deodorant for Women, Clear Gel, Completely Clean, 2.6 oz from Amazon\",2019-03-30T18:03:45\npurchase_33,I purchased Joico HydraSplash Hydrating Conditioner for fine hair 8.5 fl oz from Amazon,I purchased Joico HydraSplash Hydrating Conditioner for fine hair 8.5 fl oz from Amazon,2019-03-30T18:03:45\npurchase_34,I purchased Joico HydraSplash Hydrating Shampoo for fine hair 33.8 fl oz from Amazon,I purchased Joico HydraSplash Hydrating Shampoo for fine hair 33.8 fl oz from Amazon,2019-03-30T18:03:45\npurchase_35,\"I purchased Joico Power Spray Fast-Dry Finishing Spray, 9.0 Ounce, New Look from Amazon\",\"I purchased Joico Power Spray Fast-Dry Finishing Spray, 9.0 Ounce, New Look from Amazon\",2019-03-30T18:03:45\npurchase_36,\"I purchased Joico HydraSplash Replenishing Leave-In | Boost Shine | Reduce Frizz | For Fine/ Medium / Dry Hair, 3.38 Fl Oz (Pack of 1) from Amazon\",\"I purchased Joico HydraSplash Replenishing Leave-In | Boost Shine | Reduce Frizz | For Fine/ Medium / Dry Hair, 3.38 Fl Oz (Pack of 1) from Amazon\",2019-03-30T18:03:45\npurchase_38,I purchased Claritin 24 Hour Reditabs - 60 ct from Amazon,I purchased Claritin 24 Hour Reditabs - 60 ct from Amazon,2019-03-27T23:21:18\npurchase_40,I purchased SOTO WindMaster w/ Micro Regulator and 4Flex (One Size) from Amazon,I purchased SOTO WindMaster w/ Micro Regulator and 4Flex (One Size) from Amazon,2019-03-08T03:42:32\npurchase_41,\"I purchased Portable Electric Space Heater 1500W/750W, Ceramic Room Heater with Tip-Over and Overheat Protection, Heat up 200 Square Feet in Seconds, Safe and Qui from Amazon\",\"I purchased Portable Electric Space Heater 1500W/750W, Ceramic Room Heater with Tip-Over and Overheat Protection, Heat up 200 Square Feet in Seconds, Safe and Qui from Amazon\",2019-03-05T04:45:16\npurchase_42,I purchased Value Sensitive Design: Shaping Technology with Moral Imagination (The MIT Press) from Amazon,I purchased Value Sensitive Design: Shaping Technology with Moral Imagination (The MIT Press) from Amazon,2019-04-09T17:45:52\npurchase_43,\"I purchased Anti Fog Spray for Glasses | 600 Pumps, 6 month Supply | Prevents Fog on Windshield, Lenses, Goggles, PPE & VR Headsets | Safe on Anti-Reflective Lens from Amazon\",\"I purchased Anti Fog Spray for Glasses | 600 Pumps, 6 month Supply | Prevents Fog on Windshield, Lenses, Goggles, PPE & VR Headsets | Safe on Anti-Reflective Lens from Amazon\",2019-03-30T17:59:04\npurchase_44,I purchased WD-40 Multi-Use Product Handy Can 3 oz (Pack of 2) from Amazon,I purchased WD-40 Multi-Use Product Handy Can 3 oz (Pack of 2) from Amazon,2019-03-30T05:26:19\npurchase_45,I purchased Organic Cowboy Boneless Chicken Thighs from Amazon,I purchased Organic Cowboy Boneless Chicken Thighs from Amazon,2019-03-24T22:53:23\npurchase_46,I purchased Organic Yellow Onion from Amazon,I purchased Organic Yellow Onion from Amazon,2019-03-24T22:53:23\npurchase_47,I purchased Bag Refund from Amazon,I purchased Bag Refund from Amazon,2019-03-24T22:53:23\npurchase_48,I purchased Espresso from Amazon,I purchased Espresso from Amazon,2019-03-24T22:53:23\npurchase_49,I purchased Donation Bag from Amazon,I purchased Donation Bag from Amazon,2019-03-24T22:53:23\npurchase_50,I purchased Blueberry Greek Yogurt from Amazon,I purchased Blueberry Greek Yogurt from Amazon,2019-03-24T22:53:23\npurchase_51,I purchased Organic Ginger Root from Amazon,I purchased Organic Ginger Root from Amazon,2019-03-24T22:53:23\npurchase_52,I purchased Organic Milk from Amazon,I purchased Organic Milk from Amazon,2019-03-24T22:53:23\npurchase_53,I purchased Green Onion from Amazon,I purchased Green Onion from Amazon,2019-03-24T22:53:23\npurchase_54,I purchased Blueberry Yoghurt from Amazon,I purchased Blueberry Yoghurt from Amazon,2019-03-24T22:53:23\npurchase_55,I purchased Boneless Skinless Chicken Thighs from Amazon,I purchased Boneless Skinless Chicken Thighs from Amazon,2019-03-24T22:53:23\npurchase_56,I purchased Organic Plain Low Fat Yogurt from Amazon,I purchased Organic Plain Low Fat Yogurt from Amazon,2019-03-23T00:10:31\npurchase_57,I purchased Jewel Sweet Potato from Amazon,I purchased Jewel Sweet Potato from Amazon,2019-03-23T00:10:31\npurchase_58,I purchased Blueberry Yoghurt from Amazon,I purchased Blueberry Yoghurt from Amazon,2019-03-23T00:10:31\npurchase_59,I purchased Vidalia Onion from Amazon,I purchased Vidalia Onion from Amazon,2019-03-23T00:10:31\npurchase_60,I purchased Organic Spinach Ricotta Ravioli from Amazon,I purchased Organic Spinach Ricotta Ravioli from Amazon,2019-03-23T00:10:31\npurchase_61,I purchased Butternut Squash from Amazon,I purchased Butternut Squash from Amazon,2019-03-23T00:10:31\npurchase_62,I purchased Whole Trade Banana from Amazon,I purchased Whole Trade Banana from Amazon,2019-03-23T00:10:31\npurchase_63,I purchased Organic Milk from Amazon,I purchased Organic Milk from Amazon,2019-03-23T00:10:31\npurchase_64,I purchased Organic Strawberries from Amazon,I purchased Organic Strawberries from Amazon,2019-03-23T00:10:31\npurchase_65,I purchased Wild Blueberry Overnight Oats from Amazon,I purchased Wild Blueberry Overnight Oats from Amazon,2019-03-23T00:10:31\npurchase_66,I purchased Organic Brown Large Grade A Eggs from Amazon,I purchased Organic Brown Large Grade A Eggs from Amazon,2019-03-23T00:10:31\npurchase_67,I purchased Organic Bourbon Whiskey Boneless Chicken Thighs from Amazon,I purchased Organic Bourbon Whiskey Boneless Chicken Thighs from Amazon,2019-03-23T00:10:31\npurchase_68,I purchased Supreme Pizza from Amazon,I purchased Supreme Pizza from Amazon,2019-03-23T00:10:31\npurchase_69,I purchased Smoked Thick Cut Atlantic Salmon from Amazon,I purchased Smoked Thick Cut Atlantic Salmon from Amazon,2019-03-23T00:10:31\npurchase_70,I purchased Bacon Cheddar Beef Burger from Amazon,I purchased Bacon Cheddar Beef Burger from Amazon,2019-03-23T00:10:31\npurchase_71,I purchased Cherries from Amazon,I purchased Cherries from Amazon,2019-03-23T00:10:31\npurchase_72,I purchased Honey Almond Crunch from Amazon,I purchased Honey Almond Crunch from Amazon,2019-03-23T00:10:31\npurchase_73,I purchased Paleo Pancake & Waffle Mix from Amazon,I purchased Paleo Pancake & Waffle Mix from Amazon,2019-03-23T00:10:31\npurchase_74,I purchased Orange Cauliflower from Amazon,I purchased Orange Cauliflower from Amazon,2019-03-23T00:10:31\npurchase_75,I purchased Organic Berry Blend from Amazon,I purchased Organic Berry Blend from Amazon,2019-03-23T00:10:31\npurchase_76,I purchased Whipped Unsalted Butter from Amazon,I purchased Whipped Unsalted Butter from Amazon,2019-03-23T00:10:31\npurchase_77,I purchased Pinot Grigio Friuli from Amazon,I purchased Pinot Grigio Friuli from Amazon,2019-03-23T00:10:31\npurchase_78,I purchased Organic Boston Butter Lettuce from Amazon,I purchased Organic Boston Butter Lettuce from Amazon,2019-03-23T00:10:31\npurchase_79,I purchased Zucchini Squash from Amazon,I purchased Zucchini Squash from Amazon,2019-03-23T00:10:31\npurchase_80,I purchased Medium Hass Avocado from Amazon,I purchased Medium Hass Avocado from Amazon,2019-03-23T00:10:31\npurchase_81,I purchased Organic Low-Fat Cottage Cheese from Amazon,I purchased Organic Low-Fat Cottage Cheese from Amazon,2019-03-23T00:10:31\npurchase_82,I purchased Herring in Cream Sauce from Amazon,I purchased Herring in Cream Sauce from Amazon,2019-03-23T00:10:31\npurchase_83,I purchased Organic Baby Gold Beets Bunch from Amazon,I purchased Organic Baby Gold Beets Bunch from Amazon,2019-03-23T00:10:31\npurchase_84,I purchased Russet Potato from Amazon,I purchased Russet Potato from Amazon,2019-03-23T00:10:31\npurchase_85,I purchased Peach Yoghurt from Amazon,I purchased Peach Yoghurt from Amazon,2019-03-23T00:10:31\npurchase_86,I purchased Organic Mango Chunks from Amazon,I purchased Organic Mango Chunks from Amazon,2019-03-23T00:10:31\npurchase_87,I purchased Sauvignon Blanc from Amazon,I purchased Sauvignon Blanc from Amazon,2019-03-23T00:10:31\npurchase_88,I purchased Organic Brussels Sprouts from Amazon,I purchased Organic Brussels Sprouts from Amazon,2019-03-23T00:10:31\npurchase_89,I purchased Sliced Genoa Salami from Amazon,I purchased Sliced Genoa Salami from Amazon,2019-03-23T00:10:31\npurchase_90,I purchased Organic Cowboy Boneless Chicken Thighs from Amazon,I purchased Organic Cowboy Boneless Chicken Thighs from Amazon,2019-03-23T00:10:31\npurchase_91,\"I purchased Amazon Basics 30% Recycled Multipurpose Copy Printer Paper - 8.5 x 11 Inches, 3 Ream Case (1500 Sheets) from Amazon\",\"I purchased Amazon Basics 30% Recycled Multipurpose Copy Printer Paper - 8.5 x 11 Inches, 3 Ream Case (1500 Sheets) from Amazon\",2019-03-21T19:50:31\npurchase_92,I purchased Pudolla Men's Cotton Yoga Sweatpants Athletic Lounge Pants Open Bottom Casual Jersey Pants for Men with Pockets (Olive Medium) from Amazon,I purchased Pudolla Men's Cotton Yoga Sweatpants Athletic Lounge Pants Open Bottom Casual Jersey Pants for Men with Pockets (Olive Medium) from Amazon,2019-03-18T05:34:06\npurchase_93,\"I purchased TERRO T300B Liquid Ant Killer, 12 Bait Stations from Amazon\",\"I purchased TERRO T300B Liquid Ant Killer, 12 Bait Stations from Amazon\",2019-03-13T19:10:03\npurchase_94,\"I purchased BYD CARE KN95 Respirator, 50 Pieces, Breathable & Comfortable Foldable Safety Mask with Ear Loop for Tight Fit, GB2626 from Amazon\",\"I purchased BYD CARE KN95 Respirator, 50 Pieces, Breathable & Comfortable Foldable Safety Mask with Ear Loop for Tight Fit, GB2626 from Amazon\",2019-03-12T01:19:50\npurchase_95,\"I purchased Kate Aspen 9 oz. Stemless Wine Glass (Set of 12)| Kitchen Drinking Glass or DIY Party Favor, Clear, One Size, (30009NA-x12) from Amazon\",\"I purchased Kate Aspen 9 oz. Stemless Wine Glass (Set of 12)| Kitchen Drinking Glass or DIY Party Favor, Clear, One Size, (30009NA-x12) from Amazon\",2019-03-06T01:22:33\npurchase_96,\"I purchased iHealth COVID-19 Antigen Rapid Test, 2 Tests per Pack,FDA EUA Authorized OTC at-Home Self Test, Results in 15 Minutes with Non-invasive Nasal Swab, Ea from Amazon\",\"I purchased iHealth COVID-19 Antigen Rapid Test, 2 Tests per Pack,FDA EUA Authorized OTC at-Home Self Test, Results in 15 Minutes with Non-invasive Nasal Swab, Ea from Amazon\",2019-03-04T20:28:21\nstreaming_0,\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",2019-03-30T11:34:59.982000\nstreaming_1,\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",2019-03-30T12:24:57.597980\nstreaming_2,\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",2019-04-01T18:55:58.781460\nstreaming_3,\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",2019-04-05T14:03:56.228030\nstreaming_4,\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",2019-04-05T18:14:59.195242\nstreaming_5,\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",2019-04-05T19:38:59.996703\nstreaming_6,\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",2019-04-05T20:28:57.034859\nstreaming_7,\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\"I listen to #282 – David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",2019-04-05T23:20:58.466136\nstreaming_8,\"I listen to #283 – Chris Mason: Space Travel, Colonization, and Long-Term Survival in Space from Lex Fridman Podcast on Spotify\",\"I listen to #283 – Chris Mason: Space Travel, Colonization, and Long-Term Survival in Space from Lex Fridman Podcast on Spotify\",2019-04-05T23:45:58.517419\nstreaming_9,\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",2019-04-07T02:18:59.548571\nstreaming_10,\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",2019-04-09T02:09:59.132590\nstreaming_11,\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",2019-04-10T21:31:59.990678\nstreaming_12,\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",2019-04-17T15:32:54.334971\nstreaming_13,\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",2019-04-19T04:16:53.888978\nstreaming_14,\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",2019-04-19T16:50:59.718676\nstreaming_15,\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\"I listen to #284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",2019-04-19T19:18:58.126081\nstreaming_16,\"I listen to #285 – Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture from Lex Fridman Podcast on Spotify\",\"I listen to #285 – Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture from Lex Fridman Podcast on Spotify\",2019-04-20T01:34:52.331822\nstreaming_17,\"I listen to #285 – Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture from Lex Fridman Podcast on Spotify\",\"I listen to #285 – Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture from Lex Fridman Podcast on Spotify\",2019-04-22T15:16:54.972476\nstreaming_18,I listen to #286 – Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify,I listen to #286 – Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify,2019-04-22T16:12:59.995290\nstreaming_19,I listen to Estelle from Doris Casella on Spotify,I listen to Estelle from Doris Casella on Spotify,2019-03-02T22:21:59.881629\nstreaming_20,I listen to Shizukana from Isshi Matsuriza on Spotify,I listen to Shizukana from Isshi Matsuriza on Spotify,2019-03-02T22:23:59.868349\nstreaming_21,I listen to Un sourire et une larme (valse) from Tom Kristiaan on Spotify,I listen to Un sourire et une larme (valse) from Tom Kristiaan on Spotify,2019-03-02T22:26:59.854020\nstreaming_22,I listen to Hommage d'amitié from Gunnel Boek on Spotify,I listen to Hommage d'amitié from Gunnel Boek on Spotify,2019-03-02T22:28:59.863576\nstreaming_23,I listen to Alba from Helmut Schenker on Spotify,I listen to Alba from Helmut Schenker on Spotify,2019-03-02T22:31:59.847108\nstreaming_24,I listen to Hour of Rest from William Cas on Spotify,I listen to Hour of Rest from William Cas on Spotify,2019-03-02T22:32:59.887473\nstreaming_25,I listen to As I Dream from Johannes Bornlöf on Spotify,I listen to As I Dream from Johannes Bornlöf on Spotify,2019-03-02T22:37:59.815451\nstreaming_26,I listen to Spheroidal from Kalen Elmsley on Spotify,I listen to Spheroidal from Kalen Elmsley on Spotify,2019-03-02T22:40:59.815890\nstreaming_27,I listen to Un Cadeau from Nel Swerts on Spotify,I listen to Un Cadeau from Nel Swerts on Spotify,2019-03-02T22:43:59.843090\nstreaming_28,I listen to A Beautiful Break from Astrid Sky on Spotify,I listen to A Beautiful Break from Astrid Sky on Spotify,2019-03-02T22:45:59.871498\nstreaming_29,I listen to Saying Things from Emanuel Fremont on Spotify,I listen to Saying Things from Emanuel Fremont on Spotify,2019-03-02T22:47:59.876560\nstreaming_30,I listen to Silk from Piano Melancolía on Spotify,I listen to Silk from Piano Melancolía on Spotify,2019-03-02T22:51:59.848256\nstreaming_31,I listen to Reframe from Norman Dück on Spotify,I listen to Reframe from Norman Dück on Spotify,2019-03-02T22:53:59.873100\nstreaming_32,I listen to Solace from Armando Bauer on Spotify,I listen to Solace from Armando Bauer on Spotify,2019-03-02T22:55:59.882765\nstreaming_33,I listen to Nowesind from Jacob David on Spotify,I listen to Nowesind from Jacob David on Spotify,2019-03-02T22:57:59.881052\nstreaming_34,I listen to Träumerei from Jørg Sorensen on Spotify,I listen to Träumerei from Jørg Sorensen on Spotify,2019-03-02T22:59:59.872852\nstreaming_35,I listen to Compass from Niwa Nova on Spotify,I listen to Compass from Niwa Nova on Spotify,2019-03-02T23:02:59.860015\nstreaming_36,I listen to When it drizzles from Alva Brunel on Spotify,I listen to When it drizzles from Alva Brunel on Spotify,2019-03-02T23:06:59.851351\nstreaming_37,I listen to Dear Buddy from Cinthya Garcia on Spotify,I listen to Dear Buddy from Cinthya Garcia on Spotify,2019-03-02T23:08:59.867234\nstreaming_38,I listen to Although from Jane Avril on Spotify,I listen to Although from Jane Avril on Spotify,2019-03-02T23:11:59.820243\nstreaming_39,I listen to La Paix Intérieure from Alain Pironi on Spotify,I listen to La Paix Intérieure from Alain Pironi on Spotify,2019-03-02T23:13:59.873081\nstreaming_40,I listen to Mind Like Water from Andreas Monta on Spotify,I listen to Mind Like Water from Andreas Monta on Spotify,2019-03-02T23:15:59.880230\nstreaming_41,I listen to To the Rain from Anna Landström on Spotify,I listen to To the Rain from Anna Landström on Spotify,2019-03-02T23:17:59.854515\nstreaming_42,I listen to Adesso from Carluccio on Spotify,I listen to Adesso from Carluccio on Spotify,2019-03-02T23:21:59.853158\nstreaming_43,I listen to Prélude from Olivia Belli on Spotify,I listen to Prélude from Olivia Belli on Spotify,2019-03-02T23:24:59.828395\nstreaming_44,I listen to Aufgang der Sonne from Ploxxio on Spotify,I listen to Aufgang der Sonne from Ploxxio on Spotify,2019-03-02T23:27:59.827341\nstreaming_45,I listen to The New Life from Lemos on Spotify,I listen to The New Life from Lemos on Spotify,2019-03-02T23:29:59.861406\nstreaming_46,I listen to Coulant from Les Rêveries on Spotify,I listen to Coulant from Les Rêveries on Spotify,2019-03-02T23:32:59.851563\nstreaming_47,I listen to our paths crossing from praam on Spotify,I listen to our paths crossing from praam on Spotify,2019-03-02T23:35:59.894345\nstreaming_48,I listen to Horizon from Tamara Eden on Spotify,I listen to Horizon from Tamara Eden on Spotify,2019-03-02T23:38:59.857403\nstreaming_49,I listen to Ruhevoll from Naia Lambert on Spotify,I listen to Ruhevoll from Naia Lambert on Spotify,2019-03-02T23:40:59.860806\nstreaming_50,I listen to Meditabundus from Kellen Chase on Spotify,I listen to Meditabundus from Kellen Chase on Spotify,2019-03-02T23:42:59.850029\nstreaming_51,I listen to vierde moment from antinode on Spotify,I listen to vierde moment from antinode on Spotify,2019-03-02T23:46:59.799320\nstreaming_52,I listen to #286 – Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify,I listen to #286 – Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify,2019-03-03T19:21:58.176027\nstreaming_53,I listen to #286 – Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify,I listen to #286 – Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify,2019-03-03T22:19:55.579920\nstreaming_54,\"I listen to #285 – Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture from Lex Fridman Podcast on Spotify\",\"I listen to #285 – Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture from Lex Fridman Podcast on Spotify\",2019-03-03T22:20:59.997132\nstreaming_55,I listen to #286 – Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify,I listen to #286 – Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify,2019-03-03T22:29:59.510656\nstreaming_56,I listen to #299 – Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify,I listen to #299 – Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify,2019-03-07T02:30:54.715913\nstreaming_57,I listen to #299 – Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify,I listen to #299 – Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify,2019-03-07T14:55:57.454255\nstreaming_58,\"I listen to #300 – Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom from Lex Fridman Podcast on Spotify\",\"I listen to #300 – Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom from Lex Fridman Podcast on Spotify\",2019-03-07T15:52:56.634213\nstreaming_59,\"I listen to #300 – Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom from Lex Fridman Podcast on Spotify\",\"I listen to #300 – Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom from Lex Fridman Podcast on Spotify\",2019-03-07T20:25:58.992032\nstreaming_60,\"I listen to #300 – Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom from Lex Fridman Podcast on Spotify\",\"I listen to #300 – Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom from Lex Fridman Podcast on Spotify\",2019-03-10T16:36:58.526016\nstreaming_61,I listen to Part V: The Old Friend from Exit Scam on Spotify,I listen to Part V: The Old Friend from Exit Scam on Spotify,2019-03-17T15:39:59.999882\nstreaming_62,I listen to נפילת השמאל הציוני from הכותרת on Spotify,I listen to נפילת השמאל הציוני from הכותרת on Spotify,2019-03-17T15:39:58.337319\nstreaming_63,I listen to Part V: The Old Friend from Exit Scam on Spotify,I listen to Part V: The Old Friend from Exit Scam on Spotify,2019-03-23T22:30:59.998840\nstreaming_64,I listen to #295 – Richard Wolff: Marxism and Communism from Lex Fridman Podcast on Spotify,I listen to #295 – Richard Wolff: Marxism and Communism from Lex Fridman Podcast on Spotify,2019-03-23T22:57:59.020807\nstreaming_65,I listen to #295 – Richard Wolff: Marxism and Communism from Lex Fridman Podcast on Spotify,I listen to #295 – Richard Wolff: Marxism and Communism from Lex Fridman Podcast on Spotify,2019-03-24T02:53:59.999370\nstreaming_66,I listen to #301 – Jack Barsky: KGB Spy from Lex Fridman Podcast on Spotify,I listen to #301 – Jack Barsky: KGB Spy from Lex Fridman Podcast on Spotify,2019-03-24T03:47:57.137380\nstreaming_67,I listen to #301 – Jack Barsky: KGB Spy from Lex Fridman Podcast on Spotify,I listen to #301 – Jack Barsky: KGB Spy from Lex Fridman Podcast on Spotify,2019-03-24T21:03:57.085293\nstreaming_68,I listen to #306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify,I listen to #306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify,2019-03-28T15:13:55.193621\nstreaming_69,I listen to #306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify,I listen to #306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify,2019-03-29T01:18:58.907601\nstreaming_70,I listen to #306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify,I listen to #306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify,2019-03-29T17:12:58.377812\nstreaming_71,I listen to #306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify,I listen to #306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify,2019-03-29T20:00:59.729921\nstreaming_72,I listen to #207 – Chris Duffin: The Mad Scientist of Strength from Lex Fridman Podcast on Spotify,I listen to #207 – Chris Duffin: The Mad Scientist of Strength from Lex Fridman Podcast on Spotify,2019-03-30T00:26:59.587893\nstreaming_73,I listen to #207 – Chris Duffin: The Mad Scientist of Strength from Lex Fridman Podcast on Spotify,I listen to #207 – Chris Duffin: The Mad Scientist of Strength from Lex Fridman Podcast on Spotify,2019-03-30T23:57:59.994590\nstreaming_74,I listen to #298 – Susan Cain: The Power of Introverts and Loneliness from Lex Fridman Podcast on Spotify,I listen to #298 – Susan Cain: The Power of Introverts and Loneliness from Lex Fridman Podcast on Spotify,2019-03-30T00:51:56.797826\nstreaming_75,I listen to #298 – Susan Cain: The Power of Introverts and Loneliness from Lex Fridman Podcast on Spotify,I listen to #298 – Susan Cain: The Power of Introverts and Loneliness from Lex Fridman Podcast on Spotify,2019-04-01T20:15:56.262083\nstreaming_76,I listen to #298 – Susan Cain: The Power of Introverts and Loneliness from Lex Fridman Podcast on Spotify,I listen to #298 – Susan Cain: The Power of Introverts and Loneliness from Lex Fridman Podcast on Spotify,2019-04-02T03:02:59.791198\nstreaming_77,I listen to #299 – Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify,I listen to #299 – Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify,2019-04-02T14:24:59.994295\nstreaming_78,\"I listen to #277 – Andrew Huberman: Focus, Stress, Relationships, and Friendship from Lex Fridman Podcast on Spotify\",\"I listen to #277 – Andrew Huberman: Focus, Stress, Relationships, and Friendship from Lex Fridman Podcast on Spotify\",2019-04-05T18:00:59.997247\nstreaming_79,I listen to #299 – Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify,I listen to #299 – Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify,2019-04-05T18:00:59.999478\nstreaming_80,\"I listen to #277 – Andrew Huberman: Focus, Stress, Relationships, and Friendship from Lex Fridman Podcast on Spotify\",\"I listen to #277 – Andrew Huberman: Focus, Stress, Relationships, and Friendship from Lex Fridman Podcast on Spotify\",2019-04-05T19:50:56.902858\nstreaming_81,\"I listen to #277 – Andrew Huberman: Focus, Stress, Relationships, and Friendship from Lex Fridman Podcast on Spotify\",\"I listen to #277 – Andrew Huberman: Focus, Stress, Relationships, and Friendship from Lex Fridman Podcast on Spotify\",2019-04-05T23:46:55.538729\nstreaming_82,\"I listen to  #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\"I listen to  #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",2019-04-08T06:01:57.093682\nstreaming_83,\"I listen to  #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\"I listen to  #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",2019-04-08T19:39:57.271936\nstreaming_84,\"I listen to  #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\"I listen to  #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",2019-04-08T21:50:58.395412\nstreaming_85,I listen to Xanadu from Olivia Newton-John on Spotify,I listen to Xanadu from Olivia Newton-John on Spotify,2019-04-09T17:42:59.791494\nstreaming_86,I listen to Carried Away - Alternate Mix / Remastered 2021 from Olivia Newton-John on Spotify,I listen to Carried Away - Alternate Mix / Remastered 2021 from Olivia Newton-John on Spotify,2019-04-09T17:46:59.773902\nstreaming_87,I listen to Physical - Remastered 2021 from Olivia Newton-John on Spotify,I listen to Physical - Remastered 2021 from Olivia Newton-John on Spotify,2019-04-09T17:50:59.774008\nstreaming_88,I listen to Shaking You - Remastered 2021 from Olivia Newton-John on Spotify,I listen to Shaking You - Remastered 2021 from Olivia Newton-John on Spotify,2019-04-09T17:54:59.743864\nstreaming_89,\"I listen to I Love You, I Honestly Love You from Olivia Newton-John on Spotify\",\"I listen to I Love You, I Honestly Love You from Olivia Newton-John on Spotify\",2019-04-09T17:58:59.779667\nstreaming_90,I listen to Carried Away - Remastered 2021 from Olivia Newton-John on Spotify,I listen to Carried Away - Remastered 2021 from Olivia Newton-John on Spotify,2019-04-09T18:02:59.774126\nstreaming_91,I listen to Have You Never Been Mellow from Olivia Newton-John on Spotify,I listen to Have You Never Been Mellow from Olivia Newton-John on Spotify,2019-04-09T18:05:59.786467\nstreaming_92,I listen to Livin' In Desperate Times - Extended Version / Remastered 2021 from Olivia Newton-John on Spotify,I listen to Livin' In Desperate Times - Extended Version / Remastered 2021 from Olivia Newton-John on Spotify,2019-04-09T18:12:59.598201\nstreaming_93,I listen to You're The One That I Want - From “Grease” from John Travolta on Spotify,I listen to You're The One That I Want - From “Grease” from John Travolta on Spotify,2019-04-10T03:44:59.830160\nstreaming_94,I listen to Goodbye Girl from David Gates on Spotify,I listen to Goodbye Girl from David Gates on Spotify,2019-04-10T03:47:59.831134\nstreaming_95,I listen to Two In Love from Michael Johnson on Spotify,I listen to Two In Love from Michael Johnson on Spotify,2019-04-10T03:50:59.821534\nstreaming_96,I listen to When You Wish Upon a Star from Stephen Bishop on Spotify,I listen to When You Wish Upon a Star from Stephen Bishop on Spotify,2019-04-10T03:53:59.799840\nstreaming_97,I listen to Try To Make It True from Quarterflash on Spotify,I listen to Try To Make It True from Quarterflash on Spotify,2019-04-10T03:57:59.781467\nstreaming_98,I listen to Willpower from Taylor Dayne on Spotify,I listen to Willpower from Taylor Dayne on Spotify,2019-04-10T03:58:59.960589\nstreaming_99,I listen to Willpower from Taylor Dayne on Spotify,I listen to Willpower from Taylor Dayne on Spotify,2019-04-10T18:59:59.809853\nstreaming_100,I listen to If You Ever Change Your Mind from Crystal Gayle on Spotify,I listen to If You Ever Change Your Mind from Crystal Gayle on Spotify,2019-04-10T19:02:59.805534\nstreaming_101,I listen to #290 – Dan Reynolds: Imagine Dragons from Lex Fridman Podcast on Spotify,I listen to #290 – Dan Reynolds: Imagine Dragons from Lex Fridman Podcast on Spotify,2019-04-11T00:02:53.600471\nstreaming_102,I listen to #290 – Dan Reynolds: Imagine Dragons from Lex Fridman Podcast on Spotify,I listen to #290 – Dan Reynolds: Imagine Dragons from Lex Fridman Podcast on Spotify,2019-04-11T00:39:58.542013\nstreaming_103,I listen to #291 – Jonathan Haidt: The Case Against Social Media from Lex Fridman Podcast on Spotify,I listen to #291 – Jonathan Haidt: The Case Against Social Media from Lex Fridman Podcast on Spotify,2019-04-11T15:29:56.176277\nstreaming_104,I listen to #291 – Jonathan Haidt: The Case Against Social Media from Lex Fridman Podcast on Spotify,I listen to #291 – Jonathan Haidt: The Case Against Social Media from Lex Fridman Podcast on Spotify,2019-04-12T19:54:57.706751\nstreaming_105,\"I listen to #292 – Robin Hanson: Alien Civilizations, UFOs, and the Future of Humanity from Lex Fridman Podcast on Spotify\",\"I listen to #292 – Robin Hanson: Alien Civilizations, UFOs, and the Future of Humanity from Lex Fridman Podcast on Spotify\",2019-04-12T20:10:59.420645\nstreaming_106,\"I listen to  #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\"I listen to  #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",2019-04-13T18:46:55.390590\nstreaming_107,\"I listen to  #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\"I listen to  #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",2019-04-13T22:38:56.433995\nstreaming_108,I listen to #310 – Andrew Bustamante: CIA Spy from Lex Fridman Podcast on Spotify,I listen to #310 – Andrew Bustamante: CIA Spy from Lex Fridman Podcast on Spotify,2019-04-14T17:20:59.995757\nstreaming_109,\"I listen to  #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\"I listen to  #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",2019-04-14T17:20:56.584921\ntrips_0,\"Here's a summary of the trip: You have been to South Korea, Seoul, Seocho-gu, Jung-gu, Gwanak-gu, Yeongdeungpo-gu, and Unseo-dong. You have visited the Incheon International Airport Terminal 1, Seoul National University Gwanak Campus, Bangbae-ro, and Yangpyeong-ro 28da-gil.\",\"Here's a summary of the trip: You have been to South Korea, Seoul, Seocho-gu, Jung-gu, Gwanak-gu, Yeongdeungpo-gu, and Unseo-dong. You have visited the Incheon International Airport Terminal 1, Seoul National University Gwanak Campus, Bangbae-ro, and Yangpyeong-ro 28da-gil.\",2019-03-27 11:42:43+09:00\ntrips_1,\"Here's a summary of the trip: Japan: Tokyo (Minato, Bunkyo, Meguro, Sanmu, Chiba Prefecture), Roppongi Hills, Tokyo Prince Hotel, Asahi Shokudo, University of Tokyo (Hongo Campus), 中里橋, Roppongi Hills Mori Tower, 191L, Grand Hyatt Tokyo.\",\"Here's a summary of the trip: Japan: Tokyo (Minato, Bunkyo, Meguro, Sanmu, Chiba Prefecture), Roppongi Hills, Tokyo Prince Hotel, Asahi Shokudo, University of Tokyo (Hongo Campus), 中里橋, Roppongi Hills Mori Tower, 191L, Grand Hyatt Tokyo.\",2019-03-28 20:38:13+09:00\ntrips_2,\"Here's a summary of the trip: Taiwan: Taipei (City Hall Rd., Dongmen Village, Huashan, Longtsakoo, Xingya, Xinyi Commercial Zone, Zhongzheng District, Zhongxiao East Road Section 2), Xinyi District (Chezeng, Liuhe Village, Sanli Village, Xinglong Village), Jinshan North Road.\n\nPlaces: Liberty Square, Democracy Boulevard, Dongmen Village, Chiang Kai-shek Memorial Hall, Cama Cafe, Xiangshan Tunnel, Six Boulders Photographing Platform, Sun Yat-sen Memorial Hall, Bigtom美國冰淇淋咖啡館, 101塔樓1號攝影平台, 楠楠相望, 象山自然步道, 象山親山步道永春亭線, 象山親山步道主線(稜線), 梅花\",\"Here's a summary of the trip: Taiwan: Taipei (City Hall Rd., Dongmen Village, Huashan, Longtsakoo, Xingya, Xinyi Commercial Zone, Zhongzheng District, Zhongxiao East Road Section 2), Xinyi District (Chezeng, Liuhe Village, Sanli Village, Xinglong Village), Jinshan North Road.\n\nPlaces: Liberty Square, Democracy Boulevard, Dongmen Village, Chiang Kai-shek Memorial Hall, Cama Cafe, Xiangshan Tunnel, Six Boulders Photographing Platform, Sun Yat-sen Memorial Hall, Bigtom美國冰淇淋咖啡館, 101塔樓1號攝影平台, 楠楠相望, 象山自然步道, 象山親山步道永春亭線, 象山親山步道主線(稜線), 梅花\",2019-03-31 10:51:04+08:00\ntrips_3,\"Here's a summary of the trip: You have been to Canada, British Columbia, Vancouver, Gastown, Downtown, Canada Place, Seawall, Jack Poole Plaza, West Waterfront Road, West Cordova Street, Fairmont Pacific Rim, and Shaw Tower.\",\"Here's a summary of the trip: You have been to Canada, British Columbia, Vancouver, Gastown, Downtown, Canada Place, Seawall, Jack Poole Plaza, West Waterfront Road, West Cordova Street, Fairmont Pacific Rim, and Shaw Tower.\",2019-04-14 19:19:06-07:00\ntrips_4,\"Here's a summary of the trip: You have been to the United States (Arizona and Utah), Coconino County and Yavapai County in Arizona, Sedona City Limit in Arizona, Grand Canyon Village, Bitter Springs, Western Navajo Agency, Wahweap, Oak Creek Dev No. 1, Southwest Center, Garfield County in Utah, and Tropic in Garfield County in Utah. You have visited places such as Mather Point Amphitheatre, Airport Mesa Viewpoint, Lake Powell Resort, Sedona View Trail, Sedona Airport Overlook, AZ 89A, Brewer Trail, Navajo Viewpoint, Mather Point, Airport Loop Trail, Rim Trail, US 89, Casa Sedona Inn, UT-12, Yavapai East 7451-7483, Yavapai Geology Museum, Yavapai Point, 1.5 Mile Resthouse, Grand Canyon, Sedona Airport, 2 Emblem Place, and Crusty.\",\"Here's a summary of the trip: You have been to the United States (Arizona and Utah), Coconino County and Yavapai County in Arizona, Sedona City Limit in Arizona, Grand Canyon Village, Bitter Springs, Western Navajo Agency, Wahweap, Oak Creek Dev No. 1, Southwest Center, Garfield County in Utah, and Tropic in Garfield County in Utah. You have visited places such as Mather Point Amphitheatre, Airport Mesa Viewpoint, Lake Powell Resort, Sedona View Trail, Sedona Airport Overlook, AZ 89A, Brewer Trail, Navajo Viewpoint, Mather Point, Airport Loop Trail, Rim Trail, US 89, Casa Sedona Inn, UT-12, Yavapai East 7451-7483, Yavapai Geology Museum, Yavapai Point, 1.5 Mile Resthouse, Grand Canyon, Sedona Airport, 2 Emblem Place, and Crusty.\",2019-04-24 18:32:53-07:00\ntrips_5,\"Here's a summary of the trip: You have been to the United States in the states of Utah and Arizona. You have visited the cities/towns of Tropic, Utah and the places Navajo Loop Trailhead, Sunset Point, Sunrise Point, Rim Trail, and Queen's Garden Trail.\",\"Here's a summary of the trip: You have been to the United States in the states of Utah and Arizona. You have visited the cities/towns of Tropic, Utah and the places Navajo Loop Trailhead, Sunset Point, Sunrise Point, Rim Trail, and Queen's Garden Trail.\",2019-04-27 17:37:11-06:00\n"
  },
  {
    "path": "sample_data/episodes.json",
    "content": "[\n  {\n    \"id\":\"books_26\",\n    \"desc\":\"I purchased the book \\\"I Am a Strange Loop\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"I Am a Strange Loop\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-19T04:37:00\"\n  },\n  {\n    \"id\":\"books_27\",\n    \"desc\":\"I purchased the book \\\"I Am a Strange Loop\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"I Am a Strange Loop\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-17T04:50:00\"\n  },\n  {\n    \"id\":\"books_28\",\n    \"desc\":\"I purchased the book \\\"War and Peace\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"War and Peace\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-15T03:54:00\"\n  },\n  {\n    \"id\":\"books_29\",\n    \"desc\":\"I purchased the book \\\"War and Peace\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"War and Peace\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-05T19:23:00\"\n  },\n  {\n    \"id\":\"books_30\",\n    \"desc\":\"I purchased the book \\\"War and Peace\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"War and Peace\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-05T16:26:00\"\n  },\n  {\n    \"id\":\"books_31\",\n    \"desc\":\"I purchased the book \\\"The Culture Map\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Culture Map\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-28T15:06:00\"\n  },\n  {\n    \"id\":\"books_32\",\n    \"desc\":\"I purchased the book \\\"The Culture Map\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Culture Map\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-23T05:02:00\"\n  },\n  {\n    \"id\":\"books_33\",\n    \"desc\":\"I purchased the book \\\"War and Peace\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"War and Peace\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-14T16:26:00\"\n  },\n  {\n    \"id\":\"books_34\",\n    \"desc\":\"I purchased the book \\\"Neuromancer\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Neuromancer\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-14T16:22:00\"\n  },\n  {\n    \"id\":\"books_35\",\n    \"desc\":\"I purchased the book \\\"Horse\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Horse\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-03T23:17:00\"\n  },\n  {\n    \"id\":\"books_36\",\n    \"desc\":\"I purchased the book \\\"Exhalation\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Exhalation\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-03T23:16:00\"\n  },\n  {\n    \"id\":\"books_37\",\n    \"desc\":\"I purchased the book \\\"Neuromancer\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Neuromancer\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-30T16:51:00\"\n  },\n  {\n    \"id\":\"books_38\",\n    \"desc\":\"I purchased the book \\\"Exhalation\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Exhalation\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-28T04:25:00\"\n  },\n  {\n    \"id\":\"books_39\",\n    \"desc\":\"I purchased the book \\\"Give and Take\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Give and Take\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-27T13:27:00\"\n  },\n  {\n    \"id\":\"books_40\",\n    \"desc\":\"I purchased the book \\\"Hallucinations\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Hallucinations\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-18T11:22:00\"\n  },\n  {\n    \"id\":\"books_41\",\n    \"desc\":\"I purchased the book \\\"Horse\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Horse\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-16T00:11:00\"\n  },\n  {\n    \"id\":\"books_42\",\n    \"desc\":\"I purchased the book \\\"Think Again\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Think Again\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-13T23:11:00\"\n  },\n  {\n    \"id\":\"books_43\",\n    \"desc\":\"I purchased the book \\\"Give and Take\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Give and Take\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-10T02:24:00\"\n  },\n  {\n    \"id\":\"books_44\",\n    \"desc\":\"I purchased the book \\\"Into the Magic Shop\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Into the Magic Shop\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-10T02:23:00\"\n  },\n  {\n    \"id\":\"books_45\",\n    \"desc\":\"I purchased the book \\\"Good Anxiety\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Good Anxiety\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-06T14:35:00\"\n  },\n  {\n    \"id\":\"books_46\",\n    \"desc\":\"I purchased the book \\\"Hallucinations\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Hallucinations\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-05T23:52:00\"\n  },\n  {\n    \"id\":\"books_47\",\n    \"desc\":\"I purchased the book \\\"Think Again\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Think Again\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-05T23:51:00\"\n  },\n  {\n    \"id\":\"books_48\",\n    \"desc\":\"I purchased the book \\\"Neuromancer\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Neuromancer\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-04T03:49:00\"\n  },\n  {\n    \"id\":\"books_49\",\n    \"desc\":\"I purchased the book \\\"Into the Magic Shop\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Into the Magic Shop\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-03T20:17:00\"\n  },\n  {\n    \"id\":\"books_50\",\n    \"desc\":\"I purchased the book \\\"Healthy Brain, Happy Life\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Healthy Brain, Happy Life\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-03T04:23:00\"\n  },\n  {\n    \"id\":\"books_51\",\n    \"desc\":\"I purchased the book \\\"Good Anxiety\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Good Anxiety\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-03T04:23:00\"\n  },\n  {\n    \"id\":\"books_52\",\n    \"desc\":\"I purchased the book \\\"Year of Wonders\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Year of Wonders\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-29T20:50:00\"\n  },\n  {\n    \"id\":\"books_53\",\n    \"desc\":\"I purchased the book \\\"Healthy Brain, Happy Life\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Healthy Brain, Happy Life\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-28T04:08:00\"\n  },\n  {\n    \"id\":\"books_54\",\n    \"desc\":\"I purchased the book \\\"Year of Wonders\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Year of Wonders\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-24T20:24:00\"\n  },\n  {\n    \"id\":\"books_55\",\n    \"desc\":\"I purchased the book \\\"Horse\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Horse\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-24T20:22:00\"\n  },\n  {\n    \"id\":\"books_56\",\n    \"desc\":\"I purchased the book \\\"Hallucinations\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Hallucinations\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-24T20:19:00\"\n  },\n  {\n    \"id\":\"books_57\",\n    \"desc\":\"I purchased the book \\\"The River of Consciousness\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The River of Consciousness\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-24T20:15:00\"\n  },\n  {\n    \"id\":\"books_58\",\n    \"desc\":\"I purchased the book \\\"The River of Consciousness\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The River of Consciousness\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-23T14:26:00\"\n  },\n  {\n    \"id\":\"books_59\",\n    \"desc\":\"I purchased the book \\\"Originals\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Originals\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-23T14:25:00\"\n  },\n  {\n    \"id\":\"books_60\",\n    \"desc\":\"I purchased the book \\\"The River of Consciousness\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The River of Consciousness\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-23T14:24:00\"\n  },\n  {\n    \"id\":\"books_61\",\n    \"desc\":\"I purchased the book \\\"The River of Consciousness\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The River of Consciousness\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-23T14:23:00\"\n  },\n  {\n    \"id\":\"books_62\",\n    \"desc\":\"I purchased the book \\\"Originals\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Originals\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-20T23:47:00\"\n  },\n  {\n    \"id\":\"books_63\",\n    \"desc\":\"I purchased the book \\\"Give and Take\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Give and Take\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-20T23:46:00\"\n  },\n  {\n    \"id\":\"books_64\",\n    \"desc\":\"I purchased the book \\\"Think Again\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Think Again\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-20T23:46:00\"\n  },\n  {\n    \"id\":\"books_65\",\n    \"desc\":\"I purchased the book \\\"Stories of Your Life and Others\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Stories of Your Life and Others\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-20T00:21:00\"\n  },\n  {\n    \"id\":\"books_66\",\n    \"desc\":\"I purchased the book \\\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-20T00:20:00\"\n  },\n  {\n    \"id\":\"books_67\",\n    \"desc\":\"I purchased the book \\\"Stories of Your Life and Others\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Stories of Your Life and Others\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-16T22:10:00\"\n  },\n  {\n    \"id\":\"books_68\",\n    \"desc\":\"I purchased the book \\\"Einstein\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Einstein\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-16T22:09:00\"\n  },\n  {\n    \"id\":\"books_69\",\n    \"desc\":\"I purchased the book \\\"How to Win Friends & Influence People in the Digital Age\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"How to Win Friends & Influence People in the Digital Age\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-11T15:40:00\"\n  },\n  {\n    \"id\":\"books_70\",\n    \"desc\":\"I purchased the book \\\"The Culture Map\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Culture Map\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-11T00:07:00\"\n  },\n  {\n    \"id\":\"books_71\",\n    \"desc\":\"I purchased the book \\\"Einstein\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Einstein\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-05T17:07:00\"\n  },\n  {\n    \"id\":\"books_72\",\n    \"desc\":\"I purchased the book \\\"1491\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"1491\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-05T17:04:00\"\n  },\n  {\n    \"id\":\"books_73\",\n    \"desc\":\"I purchased the book \\\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-05T09:45:00\"\n  },\n  {\n    \"id\":\"books_74\",\n    \"desc\":\"I purchased the book \\\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Psychology of Money: Timeless lessons on wealth, greed, and happiness\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-29T18:04:00\"\n  },\n  {\n    \"id\":\"books_75\",\n    \"desc\":\"I purchased the book \\\"The Psychology of Money\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Psychology of Money\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-27T03:18:00\"\n  },\n  {\n    \"id\":\"books_76\",\n    \"desc\":\"I purchased the book \\\"1491\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"1491\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-26T00:41:00\"\n  },\n  {\n    \"id\":\"books_77\",\n    \"desc\":\"I purchased the book \\\"The Boys\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Boys\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-25T14:39:00\"\n  },\n  {\n    \"id\":\"books_78\",\n    \"desc\":\"I purchased the book \\\"The Boys\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Boys\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-22T17:47:00\"\n  },\n  {\n    \"id\":\"books_79\",\n    \"desc\":\"I purchased the book \\\"How to Win Friends & Influence People in the Digital Age\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"How to Win Friends & Influence People in the Digital Age\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-21T15:40:00\"\n  },\n  {\n    \"id\":\"books_80\",\n    \"desc\":\"I purchased the book \\\"How the World Really Works\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"How the World Really Works\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-20T22:06:00\"\n  },\n  {\n    \"id\":\"books_81\",\n    \"desc\":\"I purchased the book \\\"From Strength to Strength\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"From Strength to Strength\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-18T03:50:00\"\n  },\n  {\n    \"id\":\"books_82\",\n    \"desc\":\"I purchased the book \\\"How the World Really Works\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"How the World Really Works\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-14T17:30:00\"\n  },\n  {\n    \"id\":\"books_83\",\n    \"desc\":\"I purchased the book \\\"1491\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"1491\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-07T23:17:00\"\n  },\n  {\n    \"id\":\"books_84\",\n    \"desc\":\"I purchased the book \\\"The Boys\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Boys\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-03T20:41:00\"\n  },\n  {\n    \"id\":\"books_85\",\n    \"desc\":\"I purchased the book \\\"The Devil's Star\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Devil's Star\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-28T17:36:00\"\n  },\n  {\n    \"id\":\"books_86\",\n    \"desc\":\"I purchased the book \\\"The Bitcoin Standard\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Bitcoin Standard\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-24T22:41:00\"\n  },\n  {\n    \"id\":\"books_87\",\n    \"desc\":\"I purchased the book \\\"The Devil's Star\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Devil's Star\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-07T17:36:00\"\n  },\n  {\n    \"id\":\"books_88\",\n    \"desc\":\"I purchased the book \\\"Mating in Captivity\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Mating in Captivity\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-06T03:51:00\"\n  },\n  {\n    \"id\":\"books_89\",\n    \"desc\":\"I purchased the book \\\"How the World Really Works\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"How the World Really Works\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-06T03:05:00\"\n  },\n  {\n    \"id\":\"books_90\",\n    \"desc\":\"I purchased the book \\\"The Lincoln Highway\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Lincoln Highway\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-06T03:04:00\"\n  },\n  {\n    \"id\":\"books_91\",\n    \"desc\":\"I purchased the book \\\"The Three-Body Problem\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Three-Body Problem\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-04T03:07:00\"\n  },\n  {\n    \"id\":\"books_92\",\n    \"desc\":\"I purchased the book \\\"Mating in Captivity\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Mating in Captivity\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-04T03:07:00\"\n  },\n  {\n    \"id\":\"books_93\",\n    \"desc\":\"I purchased the book \\\"The Culture Map\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Culture Map\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-04T03:06:00\"\n  },\n  {\n    \"id\":\"books_94\",\n    \"desc\":\"I purchased the book \\\"The Bitcoin Standard\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Bitcoin Standard\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-03T22:41:00\"\n  },\n  {\n    \"id\":\"books_95\",\n    \"desc\":\"I purchased the book \\\"The Three-Body Problem\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Three-Body Problem\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-21T19:17:00\"\n  },\n  {\n    \"id\":\"books_96\",\n    \"desc\":\"I purchased the book \\\"The Ministry for the Future\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Ministry for the Future\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-05T18:59:00\"\n  },\n  {\n    \"id\":\"books_97\",\n    \"desc\":\"I purchased the book \\\"Benjamin Franklin\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Benjamin Franklin\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-28T21:42:00\"\n  },\n  {\n    \"id\":\"books_98\",\n    \"desc\":\"I purchased the book \\\"The Curious Case of Benjamin Button and Other Jazz Age Tales\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Curious Case of Benjamin Button and Other Jazz Age Tales\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-18T23:42:00\"\n  },\n  {\n    \"id\":\"books_99\",\n    \"desc\":\"I purchased the book \\\"The House of the Spirits\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The House of the Spirits\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-18T23:41:00\"\n  },\n  {\n    \"id\":\"books_100\",\n    \"desc\":\"I purchased the book \\\"The Ministry for the Future\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Ministry for the Future\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-15T18:59:00\"\n  },\n  {\n    \"id\":\"books_101\",\n    \"desc\":\"I purchased the book \\\"The Body\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Body\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-08T17:18:00\"\n  },\n  {\n    \"id\":\"books_102\",\n    \"desc\":\"I purchased the book \\\"Benjamin Franklin\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Benjamin Franklin\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-07T21:42:00\"\n  },\n  {\n    \"id\":\"books_103\",\n    \"desc\":\"I purchased the book \\\"The Curious Case of Benjamin Button and Other Jazz Age Tales\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Curious Case of Benjamin Button and Other Jazz Age Tales\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-27T23:42:00\"\n  },\n  {\n    \"id\":\"books_104\",\n    \"desc\":\"I purchased the book \\\"The House of the Spirits\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The House of the Spirits\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-27T23:41:00\"\n  },\n  {\n    \"id\":\"books_105\",\n    \"desc\":\"I purchased the book \\\"The Ministry for the Future\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Ministry for the Future\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-24T22:57:00\"\n  },\n  {\n    \"id\":\"books_106\",\n    \"desc\":\"I purchased the book \\\"Leonardo da Vinci\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Leonardo da Vinci\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-24T18:43:00\"\n  },\n  {\n    \"id\":\"books_107\",\n    \"desc\":\"I purchased the book \\\"The Body\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Body\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-17T17:18:00\"\n  },\n  {\n    \"id\":\"books_108\",\n    \"desc\":\"I purchased the book \\\"Benjamin Franklin\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Benjamin Franklin\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-17T17:16:00\"\n  },\n  {\n    \"id\":\"books_109\",\n    \"desc\":\"I purchased the book \\\"Leonardo da Vinci\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Leonardo da Vinci\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-03T18:43:00\"\n  },\n  {\n    \"id\":\"books_111\",\n    \"desc\":\"I purchased the book \\\"A Thousand Brains: A New Theory of Intelligence\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"A Thousand Brains: A New Theory of Intelligence\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-28T16:51:51\"\n  },\n  {\n    \"id\":\"books_112\",\n    \"desc\":\"I purchased the book \\\"50 Greatest Positive Psychology Quotes: A Beautiful Photo Book of The Most Inspiring Positive Psychological Quotes\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"50 Greatest Positive Psychology Quotes: A Beautiful Photo Book of The Most Inspiring Positive Psychological Quotes\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-20T16:51:51\"\n  },\n  {\n    \"id\":\"books_113\",\n    \"desc\":\"I purchased the book \\\"Before the Coffee Gets Cold: A Novel (Before the Coffee Gets Cold Series Book 1)\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Before the Coffee Gets Cold: A Novel (Before the Coffee Gets Cold Series Book 1)\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-27T16:51:51\"\n  },\n  {\n    \"id\":\"books_114\",\n    \"desc\":\"I purchased the book \\\"The Enigma of Reason\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Enigma of Reason\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-24T16:51:51\"\n  },\n  {\n    \"id\":\"books_115\",\n    \"desc\":\"I purchased the book \\\"Snow Crash: A Novel\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Snow Crash: A Novel\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-12T16:51:51\"\n  },\n  {\n    \"id\":\"books_267\",\n    \"desc\":\"I purchased the book \\\"The Innovators\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"The Innovators\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-08T16:51:51\"\n  },\n  {\n    \"id\":\"books_268\",\n    \"desc\":\"I purchased the book \\\"Life 3.0\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Life 3.0\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-08T16:51:51\"\n  },\n  {\n    \"id\":\"books_269\",\n    \"desc\":\"I purchased the book \\\"Total Recall\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Total Recall\\\" from Amazon Kindle\",\n    \"date\":\"2019-03-17T16:51:51\"\n  },\n  {\n    \"id\":\"books_270\",\n    \"desc\":\"I purchased the book \\\"Discovery Trial\\\" from Amazon Kindle\",\n    \"details\":\"I purchased the book \\\"Discovery Trial\\\" from Amazon Kindle\",\n    \"date\":\"2019-04-28T16:51:51\"\n  },\n  {\n    \"id\":\"exercise_35\",\n    \"desc\":\"I exercised by 08:00: running 39 minutes \",\n    \"details\":\"I exercised by 08:00: running 39 minutes \",\n    \"date\":\"2019-03-02 08:00:34-08:00\"\n  },\n  {\n    \"id\":\"exercise_36\",\n    \"desc\":\"I exercised by 06:55: running 25 minutes \",\n    \"details\":\"I exercised by 06:55: running 25 minutes \",\n    \"date\":\"2019-03-05 06:55:11-08:00\"\n  },\n  {\n    \"id\":\"exercise_37\",\n    \"desc\":\"I exercised by 08:32: running 40 minutes \",\n    \"details\":\"I exercised by 08:32: running 40 minutes \",\n    \"date\":\"2019-03-07 08:32:33-08:00\"\n  },\n  {\n    \"id\":\"exercise_38\",\n    \"desc\":\"I exercised by 07:27: running 51 minutes \",\n    \"details\":\"I exercised by 07:27: running 51 minutes \",\n    \"date\":\"2019-03-09 07:27:37-08:00\"\n  },\n  {\n    \"id\":\"exercise_39\",\n    \"desc\":\"I exercised by 06:49: running 52 minutes \",\n    \"details\":\"I exercised by 06:49: running 52 minutes \",\n    \"date\":\"2019-03-11 06:49:09-07:00\"\n  },\n  {\n    \"id\":\"exercise_40\",\n    \"desc\":\"I exercised by 07:22: running 40 minutes \",\n    \"details\":\"I exercised by 07:22: running 40 minutes \",\n    \"date\":\"2019-03-13 07:22:20-07:00\"\n  },\n  {\n    \"id\":\"exercise_41\",\n    \"desc\":\"I exercised by 06:31: running 59 minutes \",\n    \"details\":\"I exercised by 06:31: running 59 minutes \",\n    \"date\":\"2019-03-15 06:31:18-07:00\"\n  },\n  {\n    \"id\":\"exercise_42\",\n    \"desc\":\"I exercised by 07:11: running 27 minutes \",\n    \"details\":\"I exercised by 07:11: running 27 minutes \",\n    \"date\":\"2019-03-17 07:11:09-07:00\"\n  },\n  {\n    \"id\":\"exercise_43\",\n    \"desc\":\"I exercised by 05:29: running 27 minutes \",\n    \"details\":\"I exercised by 05:29: running 27 minutes \",\n    \"date\":\"2019-03-18 05:29:42-07:00\"\n  },\n  {\n    \"id\":\"exercise_44\",\n    \"desc\":\"I exercised by 06:34: running 54 minutes \",\n    \"details\":\"I exercised by 06:34: running 54 minutes \",\n    \"date\":\"2019-03-19 06:34:16-07:00\"\n  },\n  {\n    \"id\":\"exercise_45\",\n    \"desc\":\"I exercised by 07:19: running 43 minutes \",\n    \"details\":\"I exercised by 07:19: running 43 minutes \",\n    \"date\":\"2019-03-21 07:19:26-07:00\"\n  },\n  {\n    \"id\":\"exercise_46\",\n    \"desc\":\"I exercised by 09:49: running 51 minutes \",\n    \"details\":\"I exercised by 09:49: running 51 minutes \",\n    \"date\":\"2019-03-23 09:49:54-07:00\"\n  },\n  {\n    \"id\":\"exercise_47\",\n    \"desc\":\"I exercised by 06:57: running 25 minutes \",\n    \"details\":\"I exercised by 06:57: running 25 minutes \",\n    \"date\":\"2019-03-25 06:57:57-07:00\"\n  },\n  {\n    \"id\":\"exercise_48\",\n    \"desc\":\"I exercised by 13:16: running 25 minutes \",\n    \"details\":\"I exercised by 13:16: running 25 minutes \",\n    \"date\":\"2019-03-26 13:16:14-07:00\"\n  },\n  {\n    \"id\":\"exercise_49\",\n    \"desc\":\"I exercised by 14:32: running 25 minutes \",\n    \"details\":\"I exercised by 14:32: running 25 minutes \",\n    \"date\":\"2019-03-28 14:32:20-07:00\"\n  },\n  {\n    \"id\":\"exercise_50\",\n    \"desc\":\"I exercised by 14:03: running 26 minutes \",\n    \"details\":\"I exercised by 14:03: running 26 minutes \",\n    \"date\":\"2019-03-29 14:03:32-07:00\"\n  },\n  {\n    \"id\":\"exercise_51\",\n    \"desc\":\"I exercised by 15:42: running 24 minutes \",\n    \"details\":\"I exercised by 15:42: running 24 minutes \",\n    \"date\":\"2019-03-30 15:42:25-07:00\"\n  },\n  {\n    \"id\":\"exercise_52\",\n    \"desc\":\"I exercised by 06:48: running 24 minutes \",\n    \"details\":\"I exercised by 06:48: running 24 minutes \",\n    \"date\":\"2019-04-01 06:48:07+08:00\"\n  },\n  {\n    \"id\":\"exercise_53\",\n    \"desc\":\"I exercised by 00:32: running 41 minutes \",\n    \"details\":\"I exercised by 00:32: running 41 minutes \",\n    \"date\":\"2019-04-04 00:32:10+08:00\"\n  },\n  {\n    \"id\":\"exercise_54\",\n    \"desc\":\"I exercised by 06:15: running 40 minutes \",\n    \"details\":\"I exercised by 06:15: running 40 minutes \",\n    \"date\":\"2019-04-05 06:15:21-07:00\"\n  },\n  {\n    \"id\":\"exercise_55\",\n    \"desc\":\"I exercised by 06:38: running 51 minutes \",\n    \"details\":\"I exercised by 06:38: running 51 minutes \",\n    \"date\":\"2019-04-07 06:38:31-07:00\"\n  },\n  {\n    \"id\":\"exercise_56\",\n    \"desc\":\"I exercised by 06:27: running 39 minutes \",\n    \"details\":\"I exercised by 06:27: running 39 minutes \",\n    \"date\":\"2019-04-08 06:27:28-07:00\"\n  },\n  {\n    \"id\":\"exercise_57\",\n    \"desc\":\"I exercised by 15:25: running 24 minutes \",\n    \"details\":\"I exercised by 15:25: running 24 minutes \",\n    \"date\":\"2019-04-10 15:25:29-07:00\"\n  },\n  {\n    \"id\":\"exercise_58\",\n    \"desc\":\"I exercised by 07:25: running 112 minutes \",\n    \"details\":\"I exercised by 07:25: running 112 minutes \",\n    \"date\":\"2019-04-12 07:25:13-07:00\"\n  },\n  {\n    \"id\":\"exercise_59\",\n    \"desc\":\"I exercised by 05:57: running 26 minutes \",\n    \"details\":\"I exercised by 05:57: running 26 minutes \",\n    \"date\":\"2019-04-15 05:57:30-07:00\"\n  },\n  {\n    \"id\":\"exercise_60\",\n    \"desc\":\"I exercised by 05:18: running 27 minutes \",\n    \"details\":\"I exercised by 05:18: running 27 minutes \",\n    \"date\":\"2019-04-16 05:18:50-07:00\"\n  },\n  {\n    \"id\":\"exercise_61\",\n    \"desc\":\"I exercised by 05:12: running 25 minutes \",\n    \"details\":\"I exercised by 05:12: running 25 minutes \",\n    \"date\":\"2019-04-18 05:12:15-07:00\"\n  },\n  {\n    \"id\":\"exercise_62\",\n    \"desc\":\"I exercised by 05:58: running 25 minutes \",\n    \"details\":\"I exercised by 05:58: running 25 minutes \",\n    \"date\":\"2019-04-19 05:58:01-07:00\"\n  },\n  {\n    \"id\":\"exercise_63\",\n    \"desc\":\"I exercised by 11:14: running 41 minutes \",\n    \"details\":\"I exercised by 11:14: running 41 minutes \",\n    \"date\":\"2019-04-21 11:14:15-07:00\"\n  },\n  {\n    \"id\":\"exercise_64\",\n    \"desc\":\"I exercised by 07:56: running 41 minutes \",\n    \"details\":\"I exercised by 07:56: running 41 minutes \",\n    \"date\":\"2019-04-23 07:56:33-07:00\"\n  },\n  {\n    \"id\":\"exercise_65\",\n    \"desc\":\"I exercised by 07:27: walking 28 minutes \",\n    \"details\":\"I exercised by 07:27: walking 28 minutes \",\n    \"date\":\"2019-04-24 07:27:16-07:00\"\n  },\n  {\n    \"id\":\"exercise_66\",\n    \"desc\":\"I exercised by 08:43: running 52 minutes \",\n    \"details\":\"I exercised by 08:43: running 52 minutes \",\n    \"date\":\"2019-04-29 08:43:36-07:00\"\n  },\n  {\n    \"id\":\"photos_0\",\n    \"desc\":\"I took a photo of Performance at the performance arena  (\\\"Taking the stage.\\\") \",\n    \"details\":\"I took a photo of Performance at the performance arena  (\\\"Taking the stage.\\\") \",\n    \"date\":\"2019-04-18 00:01:26+00:00\"\n  },\n  {\n    \"id\":\"photos_1\",\n    \"desc\":\"I took a photo of Egg tart at the shop bakery  (Freshly-baked egg tarts!) \",\n    \"details\":\"I took a photo of Egg tart at the shop bakery  (Freshly-baked egg tarts!) \",\n    \"date\":\"2019-03-31 06:58:44+00:00\"\n  },\n  {\n    \"id\":\"photos_2\",\n    \"desc\":\"I took a photo of Very large floating structure at the conference center  (\\\"A sea of possibilities.\\\") \",\n    \"details\":\"I took a photo of Very large floating structure at the conference center  (\\\"A sea of possibilities.\\\") \",\n    \"date\":\"2019-04-15 14:58:30+00:00\"\n  },\n  {\n    \"id\":\"photos_3\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 15:57:11+00:00\"\n  },\n  {\n    \"id\":\"photos_4\",\n    \"desc\":\"I took a photo of Receipt at the clothing store of \\\"Texas Home on Greg Street\\\" (\\\"New outfit, here I come!\\\") \",\n    \"details\":\"I took a photo of Receipt at the clothing store of \\\"Texas Home on Greg Street\\\" (\\\"New outfit, here I come!\\\") \",\n    \"date\":\"2019-03-03 07:41:47-08:00\"\n  },\n  {\n    \"id\":\"photos_5\",\n    \"desc\":\"I took a photo of Receipt at the bookstore of \\\"Texas Home on Greg Street\\\" (\\\"Booked and paid!\\\") \",\n    \"details\":\"I took a photo of Receipt at the bookstore of \\\"Texas Home on Greg Street\\\" (\\\"Booked and paid!\\\") \",\n    \"date\":\"2019-03-03 07:42:11-08:00\"\n  },\n  {\n    \"id\":\"photos_6\",\n    \"desc\":\"I took a photo of Prescription drug at the pharmacy of \\\"Texas Home on Greg Street\\\" (\\\"Filling a prescription.\\\") \",\n    \"details\":\"I took a photo of Prescription drug at the pharmacy of \\\"Texas Home on Greg Street\\\" (\\\"Filling a prescription.\\\") \",\n    \"date\":\"2019-03-03 07:42:35-08:00\"\n  },\n  {\n    \"id\":\"photos_7\",\n    \"desc\":\"I took a photo of Boy scouts of america at the recreation room of Biking in Randall County, Texas (\\\"Exploring new possibilities.\\\") \",\n    \"details\":\"I took a photo of Boy scouts of america at the recreation room of Biking in Randall County, Texas (\\\"Exploring new possibilities.\\\") \",\n    \"date\":\"2019-03-05 19:36:00-08:00\"\n  },\n  {\n    \"id\":\"photos_8\",\n    \"desc\":\"I took a photo of Real estate at the residential neighborhood of \\\"Texas Home on Greg Street\\\" (\\\"A Home for Every Family\\\") \",\n    \"details\":\"I took a photo of Real estate at the residential neighborhood of \\\"Texas Home on Greg Street\\\" (\\\"A Home for Every Family\\\") \",\n    \"date\":\"2019-03-06 19:46:40-08:00\"\n  },\n  {\n    \"id\":\"photos_9\",\n    \"desc\":\"I took a photo of Hangikj\\u00f6t at the sauna  (\\\"A traditional Icelandic treat in a cozy setting.\\\") \",\n    \"details\":\"I took a photo of Hangikj\\u00f6t at the sauna  (\\\"A traditional Icelandic treat in a cozy setting.\\\") \",\n    \"date\":\"2019-03-11 16:27:43+00:00\"\n  },\n  {\n    \"id\":\"photos_10\",\n    \"desc\":\"I took a photo of Auditorium at the auditorium of Helium Road, Texas (\\\"A full house.\\\") \",\n    \"details\":\"I took a photo of Auditorium at the auditorium of Helium Road, Texas (\\\"A full house.\\\") \",\n    \"date\":\"2019-03-18 09:20:41-07:00\"\n  },\n  {\n    \"id\":\"photos_11\",\n    \"desc\":\"I took a photo of Academic conference at the conference center of Helium Road, Texas (\\\"Exploring new ideas at the conference.\\\") \",\n    \"details\":\"I took a photo of Academic conference at the conference center of Helium Road, Texas (\\\"Exploring new ideas at the conference.\\\") \",\n    \"date\":\"2019-03-18 09:31:03-07:00\"\n  },\n  {\n    \"id\":\"photos_12\",\n    \"desc\":\"I took a photo of Presentation at the lecture room of Helium Road, Texas (\\\"Sharing knowledge.\\\") \",\n    \"details\":\"I took a photo of Presentation at the lecture room of Helium Road, Texas (\\\"Sharing knowledge.\\\") \",\n    \"date\":\"2019-03-18 10:43:51-07:00\"\n  },\n  {\n    \"id\":\"photos_13\",\n    \"desc\":\"I took a photo of Presentation at the lecture room of Helium Road, Texas (\\\"Sharing knowledge.\\\") \",\n    \"details\":\"I took a photo of Presentation at the lecture room of Helium Road, Texas (\\\"Sharing knowledge.\\\") \",\n    \"date\":\"2019-03-18 10:44:49-07:00\"\n  },\n  {\n    \"id\":\"photos_14\",\n    \"desc\":\"I took a photo of Academic conference at the reception of Helium Road, Texas (\\\"Gathering to learn and share knowledge.\\\") \",\n    \"details\":\"I took a photo of Academic conference at the reception of Helium Road, Texas (\\\"Gathering to learn and share knowledge.\\\") \",\n    \"date\":\"2019-03-18 13:00:08-07:00\"\n  },\n  {\n    \"id\":\"photos_15\",\n    \"desc\":\"I took a photo of Hospital at the hospital of Helium Road, Texas (\\\"Healing begins here.\\\") \",\n    \"details\":\"I took a photo of Hospital at the hospital of Helium Road, Texas (\\\"Healing begins here.\\\") \",\n    \"date\":\"2019-03-18 15:52:33-07:00\"\n  },\n  {\n    \"id\":\"photos_16\",\n    \"desc\":\"I took a photo of Academic conference at the conference room of Helium Road, Texas (Academic minds come together.) \",\n    \"details\":\"I took a photo of Academic conference at the conference room of Helium Road, Texas (Academic minds come together.) \",\n    \"date\":\"2019-03-18 16:05:51-07:00\"\n  },\n  {\n    \"id\":\"photos_17\",\n    \"desc\":\"I took a photo of Invoice at the jail cell of \\\"Texas Home on Greg Street\\\" (\\\"Incarcerated.\\\") \",\n    \"details\":\"I took a photo of Invoice at the jail cell of \\\"Texas Home on Greg Street\\\" (\\\"Incarcerated.\\\") \",\n    \"date\":\"2019-03-19 12:32:09-07:00\"\n  },\n  {\n    \"id\":\"photos_18\",\n    \"desc\":\"I took a photo of Shopping list at the supermarket of Exploring Randall County, Texas (Grocery shopping time!) \",\n    \"details\":\"I took a photo of Shopping list at the supermarket of Exploring Randall County, Texas (Grocery shopping time!) \",\n    \"date\":\"2019-03-22 19:06:44-07:00\"\n  },\n  {\n    \"id\":\"photos_19\",\n    \"desc\":\"I took a photo of Camp at the campsite of Exploring Castro County, Texas (Exploring nature.) \",\n    \"details\":\"I took a photo of Camp at the campsite of Exploring Castro County, Texas (Exploring nature.) \",\n    \"date\":\"2019-03-23 09:36:05-07:00\"\n  },\n  {\n    \"id\":\"photos_20\",\n    \"desc\":\"I took a photo of Academic certificate at the archive of Exploring Seoul National University (\\\"Achievement Recognized\\\") \",\n    \"details\":\"I took a photo of Academic certificate at the archive of Exploring Seoul National University (\\\"Achievement Recognized\\\") \",\n    \"date\":\"2019-03-27 11:42:43+09:00\"\n  },\n  {\n    \"id\":\"photos_21\",\n    \"desc\":\"I took a photo of Academic certificate at the office of Exploring Seoul National University (\\\"Achievement Recognized\\\") \",\n    \"details\":\"I took a photo of Academic certificate at the office of Exploring Seoul National University (\\\"Achievement Recognized\\\") \",\n    \"date\":\"2019-03-27 11:42:50+09:00\"\n  },\n  {\n    \"id\":\"photos_22\",\n    \"desc\":\"I took a photo of Academic conference at the conference center of Exploring Seoul National University (\\\"Exploring new ideas at the conference.\\\") \",\n    \"details\":\"I took a photo of Academic conference at the conference center of Exploring Seoul National University (\\\"Exploring new ideas at the conference.\\\") \",\n    \"date\":\"2019-03-27 13:45:36+09:00\"\n  },\n  {\n    \"id\":\"photos_23\",\n    \"desc\":\"I took a photo of University at the conference center of Exploring Seoul National University (\\\"Uniting for success.\\\") \",\n    \"details\":\"I took a photo of University at the conference center of Exploring Seoul National University (\\\"Uniting for success.\\\") \",\n    \"date\":\"2019-03-27 13:45:47+09:00\"\n  },\n  {\n    \"id\":\"photos_24\",\n    \"desc\":\"I took a photo of University at the campus of Exploring Seoul National University (\\\"Exploring the University Campus\\\") \",\n    \"details\":\"I took a photo of University at the campus of Exploring Seoul National University (\\\"Exploring the University Campus\\\") \",\n    \"date\":\"2019-03-27 13:45:47+09:00\"\n  },\n  {\n    \"id\":\"photos_25\",\n    \"desc\":\"I took a photo of Fish products at the fishpond of Exploring Seoul's Seocho-gu (Fresh Fish Catch!) \",\n    \"details\":\"I took a photo of Fish products at the fishpond of Exploring Seoul's Seocho-gu (Fresh Fish Catch!) \",\n    \"date\":\"2019-03-27 18:36:03+09:00\"\n  },\n  {\n    \"id\":\"photos_26\",\n    \"desc\":\"I took a photo of Airport at the airport terminal of Incheon Int'l Airport Terminal 1 (Traveling the world.) \",\n    \"details\":\"I took a photo of Airport at the airport terminal of Incheon Int'l Airport Terminal 1 (Traveling the world.) \",\n    \"date\":\"2019-03-28 06:38:09+09:00\"\n  },\n  {\n    \"id\":\"photos_27\",\n    \"desc\":\"I took a photo of Toyota voltz at the industrial area  (\\\"Powering the industrial future.\\\") \",\n    \"details\":\"I took a photo of Toyota voltz at the industrial area  (\\\"Powering the industrial future.\\\") \",\n    \"date\":\"2019-03-28 04:34:33+00:00\"\n  },\n  {\n    \"id\":\"photos_28\",\n    \"desc\":\"I took a photo of Tsukudani at the restaurant of Roppongi's Asahi Shokudo (Tasty Tsukudani!) \",\n    \"details\":\"I took a photo of Tsukudani at the restaurant of Roppongi's Asahi Shokudo (Tasty Tsukudani!) \",\n    \"date\":\"2019-03-28 20:38:13+09:00\"\n  },\n  {\n    \"id\":\"photos_29\",\n    \"desc\":\"I took a photo of Nabemono at the sushi bar of Roppongi's Asahi Shokudo (Enjoying a hot pot of Nabemono.) \",\n    \"details\":\"I took a photo of Nabemono at the sushi bar of Roppongi's Asahi Shokudo (Enjoying a hot pot of Nabemono.) \",\n    \"date\":\"2019-03-28 20:47:46+09:00\"\n  },\n  {\n    \"id\":\"photos_30\",\n    \"desc\":\"I took a photo of Ainu cuisine at the restaurant of Roppongi's Asahi Shokudo (\\\"Delicious Ainu cuisine!\\\") \",\n    \"details\":\"I took a photo of Ainu cuisine at the restaurant of Roppongi's Asahi Shokudo (\\\"Delicious Ainu cuisine!\\\") \",\n    \"date\":\"2019-03-28 21:36:34+09:00\"\n  },\n  {\n    \"id\":\"photos_31\",\n    \"desc\":\"I took a photo of Sashimi at the sushi bar of Roppongi's Asahi Shokudo (Freshly-sliced sashimi.) \",\n    \"details\":\"I took a photo of Sashimi at the sushi bar of Roppongi's Asahi Shokudo (Freshly-sliced sashimi.) \",\n    \"date\":\"2019-03-28 23:25:42+09:00\"\n  },\n  {\n    \"id\":\"photos_32\",\n    \"desc\":\"I took a photo of Quince dessert at the sushi bar of Roppongi's Asahi Shokudo (\\\"A sweet treat!\\\") \",\n    \"details\":\"I took a photo of Quince dessert at the sushi bar of Roppongi's Asahi Shokudo (\\\"A sweet treat!\\\") \",\n    \"date\":\"2019-03-28 23:25:52+09:00\"\n  },\n  {\n    \"id\":\"photos_33\",\n    \"desc\":\"I took a photo of Muesli at the cafeteria of Grand Hyatt Tokyo (\\\"A healthy start to the day!\\\") \",\n    \"details\":\"I took a photo of Muesli at the cafeteria of Grand Hyatt Tokyo (\\\"A healthy start to the day!\\\") \",\n    \"date\":\"2019-03-29 09:12:12+09:00\"\n  },\n  {\n    \"id\":\"photos_34\",\n    \"desc\":\"I took a photo of Taish\\u014dgoto at the asia temple of Moto-Azabu, Tokyo (\\\"A traditional Japanese instrument.\\\") \",\n    \"details\":\"I took a photo of Taish\\u014dgoto at the asia temple of Moto-Azabu, Tokyo (\\\"A traditional Japanese instrument.\\\") \",\n    \"date\":\"2019-03-29 10:08:09+09:00\"\n  },\n  {\n    \"id\":\"photos_35\",\n    \"desc\":\"I took a photo of Cherry blossom at the street of Aiiku Hospital in Tokyo (\\\"Spring beauty.\\\") \",\n    \"details\":\"I took a photo of Cherry blossom at the street of Aiiku Hospital in Tokyo (\\\"Spring beauty.\\\") \",\n    \"date\":\"2019-03-29 10:13:09+09:00\"\n  },\n  {\n    \"id\":\"photos_36\",\n    \"desc\":\"I took a photo of Koinobori at the urban canal of Exploring Naka-Meguro, Tokyo (Celebrating Children's Day in the city.) \",\n    \"details\":\"I took a photo of Koinobori at the urban canal of Exploring Naka-Meguro, Tokyo (Celebrating Children's Day in the city.) \",\n    \"date\":\"2019-03-29 10:53:41+09:00\"\n  },\n  {\n    \"id\":\"photos_37\",\n    \"desc\":\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\\\"Urban beauty.\\\") \",\n    \"details\":\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\\\"Urban beauty.\\\") \",\n    \"date\":\"2019-03-29 10:54:16+09:00\"\n  },\n  {\n    \"id\":\"photos_38\",\n    \"desc\":\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\\\"Urban beauty.\\\") \",\n    \"details\":\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\\\"Urban beauty.\\\") \",\n    \"date\":\"2019-03-29 10:54:15+09:00\"\n  },\n  {\n    \"id\":\"photos_39\",\n    \"desc\":\"I took a photo of Koinobori at the urban canal of Exploring Naka-Meguro, Tokyo (Celebrating Children's Day in the city.) \",\n    \"details\":\"I took a photo of Koinobori at the urban canal of Exploring Naka-Meguro, Tokyo (Celebrating Children's Day in the city.) \",\n    \"date\":\"2019-03-29 10:54:51+09:00\"\n  },\n  {\n    \"id\":\"photos_40\",\n    \"desc\":\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\\\"Urban beauty.\\\") \",\n    \"details\":\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\\\"Urban beauty.\\\") \",\n    \"date\":\"2019-03-29 10:54:59+09:00\"\n  },\n  {\n    \"id\":\"photos_41\",\n    \"desc\":\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\\\"Urban beauty.\\\") \",\n    \"details\":\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\\\"Urban beauty.\\\") \",\n    \"date\":\"2019-03-29 10:56:04+09:00\"\n  },\n  {\n    \"id\":\"photos_42\",\n    \"desc\":\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\\\"Urban beauty.\\\") \",\n    \"details\":\"I took a photo of Cherry blossom at the urban canal of Exploring Naka-Meguro, Tokyo (\\\"Urban beauty.\\\") \",\n    \"date\":\"2019-03-29 10:56:37+09:00\"\n  },\n  {\n    \"id\":\"photos_43\",\n    \"desc\":\"I took a photo of Gate at the asia temple of University of Tokyo, Tokyo (\\\"Ancient Temple Gate\\\") \",\n    \"details\":\"I took a photo of Gate at the asia temple of University of Tokyo, Tokyo (\\\"Ancient Temple Gate\\\") \",\n    \"date\":\"2019-03-29 12:28:58+09:00\"\n  },\n  {\n    \"id\":\"photos_44\",\n    \"desc\":\"I took a photo of Cherry blossom at the plaza of Tokyo's Shibadaimon (\\\"Spring in the city.\\\") \",\n    \"details\":\"I took a photo of Cherry blossom at the plaza of Tokyo's Shibadaimon (\\\"Spring in the city.\\\") \",\n    \"date\":\"2019-03-29 16:15:45+09:00\"\n  },\n  {\n    \"id\":\"photos_45\",\n    \"desc\":\"I took a photo of Yoga at the tower of Tokyo's Shibakoen (\\\"Finding balance.\\\") \",\n    \"details\":\"I took a photo of Yoga at the tower of Tokyo's Shibakoen (\\\"Finding balance.\\\") \",\n    \"date\":\"2019-03-29 16:23:59+09:00\"\n  },\n  {\n    \"id\":\"photos_46\",\n    \"desc\":\"I took a photo of Picnic at the picnic area of Tokyo's Shibakoen (Enjoying a picnic in the park.) \",\n    \"details\":\"I took a photo of Picnic at the picnic area of Tokyo's Shibakoen (Enjoying a picnic in the park.) \",\n    \"date\":\"2019-03-29 16:24:07+09:00\"\n  },\n  {\n    \"id\":\"photos_47\",\n    \"desc\":\"I took a photo of Cherry blossom at the tower of Tokyo's Shiba Junior & Senior High School (\\\"A touch of spring.\\\") \",\n    \"details\":\"I took a photo of Cherry blossom at the tower of Tokyo's Shiba Junior & Senior High School (\\\"A touch of spring.\\\") \",\n    \"date\":\"2019-03-29 16:24:56+09:00\"\n  },\n  {\n    \"id\":\"photos_48\",\n    \"desc\":\"I took a photo of Cherry blossom at the tower of Tokyo's Shibakoen (\\\"A touch of spring.\\\") \",\n    \"details\":\"I took a photo of Cherry blossom at the tower of Tokyo's Shibakoen (\\\"A touch of spring.\\\") \",\n    \"date\":\"2019-03-29 16:25:06+09:00\"\n  },\n  {\n    \"id\":\"photos_49\",\n    \"desc\":\"I took a photo of Cherry blossom at the tower of Tokyo Prince Hotel (\\\"A touch of spring.\\\") \",\n    \"details\":\"I took a photo of Cherry blossom at the tower of Tokyo Prince Hotel (\\\"A touch of spring.\\\") \",\n    \"date\":\"2019-03-29 16:26:16+09:00\"\n  },\n  {\n    \"id\":\"photos_50\",\n    \"desc\":\"I took a photo of Katsuobushi at the restaurant of Exploring Roppongi Hills (Freshly shaved Katsuobushi.) \",\n    \"details\":\"I took a photo of Katsuobushi at the restaurant of Exploring Roppongi Hills (Freshly shaved Katsuobushi.) \",\n    \"date\":\"2019-03-29 18:25:08+09:00\"\n  },\n  {\n    \"id\":\"photos_51\",\n    \"desc\":\"I took a photo of Dining room at the conference room of Exploring Roppongi Hills (\\\"A place to gather and share ideas.\\\") \",\n    \"details\":\"I took a photo of Dining room at the conference room of Exploring Roppongi Hills (\\\"A place to gather and share ideas.\\\") \",\n    \"date\":\"2019-03-29 18:25:24+09:00\"\n  },\n  {\n    \"id\":\"photos_52\",\n    \"desc\":\"I took a photo of Anago at the sushi bar of Exploring Roppongi Hills (\\\"Freshly made Anago sushi!\\\") \",\n    \"details\":\"I took a photo of Anago at the sushi bar of Exploring Roppongi Hills (\\\"Freshly made Anago sushi!\\\") \",\n    \"date\":\"2019-03-29 18:26:53+09:00\"\n  },\n  {\n    \"id\":\"photos_53\",\n    \"desc\":\"I took a photo of Katsuobushi at the restaurant of Exploring Roppongi Hills (Freshly shaved Katsuobushi.) \",\n    \"details\":\"I took a photo of Katsuobushi at the restaurant of Exploring Roppongi Hills (Freshly shaved Katsuobushi.) \",\n    \"date\":\"2019-03-29 18:27:16+09:00\"\n  },\n  {\n    \"id\":\"photos_54\",\n    \"desc\":\"I took a photo of Osechi at the sushi bar of Exploring Roppongi Hills, Tokyo (Freshly prepared osechi sushi.) \",\n    \"details\":\"I took a photo of Osechi at the sushi bar of Exploring Roppongi Hills, Tokyo (Freshly prepared osechi sushi.) \",\n    \"date\":\"2019-03-29 19:20:53+09:00\"\n  },\n  {\n    \"id\":\"photos_55\",\n    \"desc\":\"I took a photo of Taro cake at the restaurant of Exploring Roppongi Hills, Tokyo (Delicious Taro Cake!) \",\n    \"details\":\"I took a photo of Taro cake at the restaurant of Exploring Roppongi Hills, Tokyo (Delicious Taro Cake!) \",\n    \"date\":\"2019-03-29 21:28:05+09:00\"\n  },\n  {\n    \"id\":\"photos_56\",\n    \"desc\":\"I took a photo of Aircraft cabin at the airplane cabin of Narita, Japan (Ready for takeoff.) \",\n    \"details\":\"I took a photo of Aircraft cabin at the airplane cabin of Narita, Japan (Ready for takeoff.) \",\n    \"date\":\"2019-03-30 14:15:37+09:00\"\n  },\n  {\n    \"id\":\"photos_57\",\n    \"desc\":\"I took a photo of Espressino at the coffee shop of Cama Cafe in Huashan, Taipei (Caffeine fix.) \",\n    \"details\":\"I took a photo of Espressino at the coffee shop of Cama Cafe in Huashan, Taipei (Caffeine fix.) \",\n    \"date\":\"2019-03-31 10:51:04+08:00\"\n  },\n  {\n    \"id\":\"photos_58\",\n    \"desc\":\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cozy spot for coffee and conversation.\\\") \",\n    \"details\":\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cozy spot for coffee and conversation.\\\") \",\n    \"date\":\"2019-03-31 10:51:41+08:00\"\n  },\n  {\n    \"id\":\"photos_59\",\n    \"desc\":\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cozy spot for coffee and conversation.\\\") \",\n    \"details\":\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cozy spot for coffee and conversation.\\\") \",\n    \"date\":\"2019-03-31 11:17:52+08:00\"\n  },\n  {\n    \"id\":\"photos_60\",\n    \"desc\":\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cozy spot for coffee and conversation.\\\") \",\n    \"details\":\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cozy spot for coffee and conversation.\\\") \",\n    \"date\":\"2019-03-31 11:17:57+08:00\"\n  },\n  {\n    \"id\":\"photos_61\",\n    \"desc\":\"I took a photo of Award at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"Celebrating success!\\\") \",\n    \"details\":\"I took a photo of Award at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"Celebrating success!\\\") \",\n    \"date\":\"2019-03-31 11:23:27+08:00\"\n  },\n  {\n    \"id\":\"photos_62\",\n    \"desc\":\"I took a photo of Caf\\u00e9 at the sushi bar of Cama Cafe in Huashan, Taipei (Fresh sushi and drinks.) \",\n    \"details\":\"I took a photo of Caf\\u00e9 at the sushi bar of Cama Cafe in Huashan, Taipei (Fresh sushi and drinks.) \",\n    \"date\":\"2019-03-31 11:29:26+08:00\"\n  },\n  {\n    \"id\":\"photos_63\",\n    \"desc\":\"I took a photo of Caf\\u00e9 at the bar of Cama Cafe in Huashan, Taipei (\\\"A cozy spot for a cup of coffee.\\\") \",\n    \"details\":\"I took a photo of Caf\\u00e9 at the bar of Cama Cafe in Huashan, Taipei (\\\"A cozy spot for a cup of coffee.\\\") \",\n    \"date\":\"2019-03-31 11:29:35+08:00\"\n  },\n  {\n    \"id\":\"photos_64\",\n    \"desc\":\"I took a photo of Skyscraper at the skyscraper of Exploring Eslite XinYi Store (\\\"Reaching new heights.\\\") \",\n    \"details\":\"I took a photo of Skyscraper at the skyscraper of Exploring Eslite XinYi Store (\\\"Reaching new heights.\\\") \",\n    \"date\":\"2019-03-31 13:38:53+08:00\"\n  },\n  {\n    \"id\":\"photos_65\",\n    \"desc\":\"I took a photo of Tower running at the skyscraper of Exploring Eslite XinYi Store (\\\"Reaching new heights.\\\") \",\n    \"details\":\"I took a photo of Tower running at the skyscraper of Exploring Eslite XinYi Store (\\\"Reaching new heights.\\\") \",\n    \"date\":\"2019-03-31 13:38:56+08:00\"\n  },\n  {\n    \"id\":\"photos_66\",\n    \"desc\":\"I took a photo of Landmark at the tower of Exploring Taipei City Hall (\\\"A view from the top.\\\") \",\n    \"details\":\"I took a photo of Landmark at the tower of Exploring Taipei City Hall (\\\"A view from the top.\\\") \",\n    \"date\":\"2019-03-31 14:02:19+08:00\"\n  },\n  {\n    \"id\":\"photos_67\",\n    \"desc\":\"I took a photo of Presidential palace at the conference center of Exploring Xinglong Village, Taiwan (\\\"The seat of power.\\\") \",\n    \"details\":\"I took a photo of Presidential palace at the conference center of Exploring Xinglong Village, Taiwan (\\\"The seat of power.\\\") \",\n    \"date\":\"2019-03-31 14:07:01+08:00\"\n  },\n  {\n    \"id\":\"photos_68\",\n    \"desc\":\"I took a photo of Impatiens at the botanical garden of Exploring Xinglong Village, Taiwan (\\\"A burst of color.\\\") \",\n    \"details\":\"I took a photo of Impatiens at the botanical garden of Exploring Xinglong Village, Taiwan (\\\"A burst of color.\\\") \",\n    \"date\":\"2019-03-31 14:08:35+08:00\"\n  },\n  {\n    \"id\":\"photos_69\",\n    \"desc\":\"I took a photo of Presidential palace at the legislative chamber of \\\"Exploring Sun Yat-sen Memorial Hall\\\" (\\\"The seat of power.\\\") \",\n    \"details\":\"I took a photo of Presidential palace at the legislative chamber of \\\"Exploring Sun Yat-sen Memorial Hall\\\" (\\\"The seat of power.\\\") \",\n    \"date\":\"2019-03-31 14:11:10+08:00\"\n  },\n  {\n    \"id\":\"photos_70\",\n    \"desc\":\"I took a photo of White mulberry at the coffee shop of Bigtom\\u7f8e\\u570b\\u51b0\\u6dc7\\u6dcb\\u5496\\u5561\\u9928 in Chezeng, Taipei (\\\"A sweet treat!\\\") \",\n    \"details\":\"I took a photo of White mulberry at the coffee shop of Bigtom\\u7f8e\\u570b\\u51b0\\u6dc7\\u6dcb\\u5496\\u5561\\u9928 in Chezeng, Taipei (\\\"A sweet treat!\\\") \",\n    \"date\":\"2019-03-31 14:25:17+08:00\"\n  },\n  {\n    \"id\":\"photos_71\",\n    \"desc\":\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cozy spot for coffee and conversation.\\\") \",\n    \"details\":\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cozy spot for coffee and conversation.\\\") \",\n    \"date\":\"2019-04-01 11:46:03+08:00\"\n  },\n  {\n    \"id\":\"photos_72\",\n    \"desc\":\"I took a photo of Caf\\u00e9 at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cup of coffee and a moment of peace.\\\") \",\n    \"details\":\"I took a photo of Caf\\u00e9 at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cup of coffee and a moment of peace.\\\") \",\n    \"date\":\"2019-04-01 11:46:13+08:00\"\n  },\n  {\n    \"id\":\"photos_73\",\n    \"desc\":\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cozy spot for coffee and conversation.\\\") \",\n    \"details\":\"I took a photo of Coffeehouse at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cozy spot for coffee and conversation.\\\") \",\n    \"date\":\"2019-04-01 11:46:18+08:00\"\n  },\n  {\n    \"id\":\"photos_74\",\n    \"desc\":\"I took a photo of Kaya toast at the delicatessen of Cama Cafe in Huashan, Taipei (\\\"A classic Singaporean breakfast.\\\") \",\n    \"details\":\"I took a photo of Kaya toast at the delicatessen of Cama Cafe in Huashan, Taipei (\\\"A classic Singaporean breakfast.\\\") \",\n    \"date\":\"2019-04-01 11:50:40+08:00\"\n  },\n  {\n    \"id\":\"photos_75\",\n    \"desc\":\"I took a photo of Caf\\u00e9 at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cup of coffee and a moment of peace.\\\") \",\n    \"details\":\"I took a photo of Caf\\u00e9 at the coffee shop of Cama Cafe in Huashan, Taipei (\\\"A cup of coffee and a moment of peace.\\\") \",\n    \"date\":\"2019-04-01 13:05:56+08:00\"\n  },\n  {\n    \"id\":\"photos_76\",\n    \"desc\":\"I took a photo of Motherboard at the junkyard of Taipei's KuanHua Market (\\\"Outdated technology discarded.\\\") \",\n    \"details\":\"I took a photo of Motherboard at the junkyard of Taipei's KuanHua Market (\\\"Outdated technology discarded.\\\") \",\n    \"date\":\"2019-04-01 13:10:47+08:00\"\n  },\n  {\n    \"id\":\"photos_77\",\n    \"desc\":\"I took a photo of Taiwanese opera at the legislative chamber of Exploring Chiang Kai-shek Memorial Hall (\\\"Traditional Taiwanese Opera in the Legislative Chamber\\\") \",\n    \"details\":\"I took a photo of Taiwanese opera at the legislative chamber of Exploring Chiang Kai-shek Memorial Hall (\\\"Traditional Taiwanese Opera in the Legislative Chamber\\\") \",\n    \"date\":\"2019-04-01 14:08:24+08:00\"\n  },\n  {\n    \"id\":\"photos_78\",\n    \"desc\":\"I took a photo of Statue at the legislative chamber of Exploring Chiang Kai-shek Memorial Hall (\\\"A symbol of democracy.\\\") \",\n    \"details\":\"I took a photo of Statue at the legislative chamber of Exploring Chiang Kai-shek Memorial Hall (\\\"A symbol of democracy.\\\") \",\n    \"date\":\"2019-04-01 14:09:49+08:00\"\n  },\n  {\n    \"id\":\"photos_79\",\n    \"desc\":\"I took a photo of Statue at the legislative chamber of Taipei's Democracy Boulevard (\\\"A symbol of democracy.\\\") \",\n    \"details\":\"I took a photo of Statue at the legislative chamber of Taipei's Democracy Boulevard (\\\"A symbol of democracy.\\\") \",\n    \"date\":\"2019-04-01 14:09:52+08:00\"\n  },\n  {\n    \"id\":\"photos_80\",\n    \"desc\":\"I took a photo of Presidential palace at the asia temple of Exploring Chiang Kai-shek Memorial Hall (\\\"The Presidential Palace of Asia.\\\") \",\n    \"details\":\"I took a photo of Presidential palace at the asia temple of Exploring Chiang Kai-shek Memorial Hall (\\\"The Presidential Palace of Asia.\\\") \",\n    \"date\":\"2019-04-01 14:12:25+08:00\"\n  },\n  {\n    \"id\":\"photos_81\",\n    \"desc\":\"I took a photo of Presidential palace at the asia temple of Exploring Longtsakoo, Taiwan (\\\"The Presidential Palace of Asia.\\\") \",\n    \"details\":\"I took a photo of Presidential palace at the asia temple of Exploring Longtsakoo, Taiwan (\\\"The Presidential Palace of Asia.\\\") \",\n    \"date\":\"2019-04-01 14:13:29+08:00\"\n  },\n  {\n    \"id\":\"photos_82\",\n    \"desc\":\"I took a photo of Chinese architecture at the asia temple of Exploring Chiang Kai-shek Memorial Hall (\\\"Ancient beauty.\\\") \",\n    \"details\":\"I took a photo of Chinese architecture at the asia temple of Exploring Chiang Kai-shek Memorial Hall (\\\"Ancient beauty.\\\") \",\n    \"date\":\"2019-04-01 14:19:18+08:00\"\n  },\n  {\n    \"id\":\"photos_83\",\n    \"desc\":\"I took a photo of Chinese architecture at the asia temple of Exploring Longtsakoo, Taipei (\\\"Ancient beauty.\\\") \",\n    \"details\":\"I took a photo of Chinese architecture at the asia temple of Exploring Longtsakoo, Taipei (\\\"Ancient beauty.\\\") \",\n    \"date\":\"2019-04-01 14:32:33+08:00\"\n  },\n  {\n    \"id\":\"photos_84\",\n    \"desc\":\"I took a photo of Chinese architecture at the asia temple of Exploring Longtsakoo, Taiwan (\\\"Ancient beauty.\\\") \",\n    \"details\":\"I took a photo of Chinese architecture at the asia temple of Exploring Longtsakoo, Taiwan (\\\"Ancient beauty.\\\") \",\n    \"date\":\"2019-04-01 14:32:43+08:00\"\n  },\n  {\n    \"id\":\"photos_85\",\n    \"desc\":\"I took a photo of Presidential palace at the asia temple of Taipei's Liberty Square (\\\"The Presidential Palace of Asia.\\\") \",\n    \"details\":\"I took a photo of Presidential palace at the asia temple of Taipei's Liberty Square (\\\"The Presidential Palace of Asia.\\\") \",\n    \"date\":\"2019-04-01 14:34:37+08:00\"\n  },\n  {\n    \"id\":\"photos_86\",\n    \"desc\":\"I took a photo of Observation tower at the tower of Photographing Platform in Taipei (\\\"A view from the top.\\\") \",\n    \"details\":\"I took a photo of Observation tower at the tower of Photographing Platform in Taipei (\\\"A view from the top.\\\") \",\n    \"date\":\"2019-04-01 18:04:00+08:00\"\n  },\n  {\n    \"id\":\"photos_87\",\n    \"desc\":\"I took a photo of Mount scenery at the downtown of Exploring Sanli Village, Taipei (\\\"A majestic view.\\\") \",\n    \"details\":\"I took a photo of Mount scenery at the downtown of Exploring Sanli Village, Taipei (\\\"A majestic view.\\\") \",\n    \"date\":\"2019-04-01 18:10:42+08:00\"\n  },\n  {\n    \"id\":\"photos_88\",\n    \"desc\":\"I took a photo of Landmark at the tower of Exploring Liuhe Village Trail (\\\"A view from the top.\\\") \",\n    \"details\":\"I took a photo of Landmark at the tower of Exploring Liuhe Village Trail (\\\"A view from the top.\\\") \",\n    \"date\":\"2019-04-01 18:16:02+08:00\"\n  },\n  {\n    \"id\":\"photos_89\",\n    \"desc\":\"I took a photo of Taiwan passport at the downtown of Exploring Taipei: \\u6885\\u82b1\\u7403\\u5834 (Exploring Taiwan.) \",\n    \"details\":\"I took a photo of Taiwan passport at the downtown of Exploring Taipei: \\u6885\\u82b1\\u7403\\u5834 (Exploring Taiwan.) \",\n    \"date\":\"2019-04-01 18:16:44+08:00\"\n  },\n  {\n    \"id\":\"photos_90\",\n    \"desc\":\"I took a photo of Landmark at the tower of Exploring Xiangshan Tunnel (\\\"A view from the top.\\\") \",\n    \"details\":\"I took a photo of Landmark at the tower of Exploring Xiangshan Tunnel (\\\"A view from the top.\\\") \",\n    \"date\":\"2019-04-01 18:18:23+08:00\"\n  },\n  {\n    \"id\":\"photos_91\",\n    \"desc\":\"I took a photo of Landmark at the tower of Exploring Xiangshan Tunnel (\\\"A view from the top.\\\") \",\n    \"details\":\"I took a photo of Landmark at the tower of Exploring Xiangshan Tunnel (\\\"A view from the top.\\\") \",\n    \"date\":\"2019-04-01 18:18:34+08:00\"\n  },\n  {\n    \"id\":\"photos_92\",\n    \"desc\":\"I took a photo of Landmark at the tower of Exploring Taipei from the Xinyi District (\\\"A view from the top.\\\") \",\n    \"details\":\"I took a photo of Landmark at the tower of Exploring Taipei from the Xinyi District (\\\"A view from the top.\\\") \",\n    \"date\":\"2019-04-01 18:18:54+08:00\"\n  },\n  {\n    \"id\":\"photos_93\",\n    \"desc\":\"I took a photo of Taiwan passport at the downtown of Exploring Sanli Village, Taipei (Exploring Taiwan.) \",\n    \"details\":\"I took a photo of Taiwan passport at the downtown of Exploring Sanli Village, Taipei (Exploring Taiwan.) \",\n    \"date\":\"2019-04-01 18:19:16+08:00\"\n  },\n  {\n    \"id\":\"photos_94\",\n    \"desc\":\"I took a photo of Mount scenery at the mountain of Exploring Sanli Village, Taipei (\\\"Majestic beauty.\\\") \",\n    \"details\":\"I took a photo of Mount scenery at the mountain of Exploring Sanli Village, Taipei (\\\"Majestic beauty.\\\") \",\n    \"date\":\"2019-04-01 18:27:54+08:00\"\n  },\n  {\n    \"id\":\"photos_95\",\n    \"desc\":\"I took a photo of Mount scenery at the downtown of Exploring Sanli Village, Taipei (\\\"A majestic view.\\\") \",\n    \"details\":\"I took a photo of Mount scenery at the downtown of Exploring Sanli Village, Taipei (\\\"A majestic view.\\\") \",\n    \"date\":\"2019-04-01 18:28:24+08:00\"\n  },\n  {\n    \"id\":\"photos_96\",\n    \"desc\":\"I took a photo of Taiwan passport at the tower of Exploring Sanli Village, Taipei (Exploring Taiwan.) \",\n    \"details\":\"I took a photo of Taiwan passport at the tower of Exploring Sanli Village, Taipei (Exploring Taiwan.) \",\n    \"date\":\"2019-04-01 18:30:30+08:00\"\n  },\n  {\n    \"id\":\"photos_97\",\n    \"desc\":\"I took a photo of Mount scenery at the downtown of Exploring Sanli Village, Taipei (\\\"A majestic view.\\\") \",\n    \"details\":\"I took a photo of Mount scenery at the downtown of Exploring Sanli Village, Taipei (\\\"A majestic view.\\\") \",\n    \"date\":\"2019-04-01 18:30:38+08:00\"\n  },\n  {\n    \"id\":\"photos_98\",\n    \"desc\":\"I took a photo of Mount scenery at the mountain of Exploring Sanli Village, Taipei (\\\"Majestic beauty.\\\") \",\n    \"details\":\"I took a photo of Mount scenery at the mountain of Exploring Sanli Village, Taipei (\\\"Majestic beauty.\\\") \",\n    \"date\":\"2019-04-01 18:30:50+08:00\"\n  },\n  {\n    \"id\":\"photos_99\",\n    \"desc\":\"I took a photo of Mount scenery at the residential neighborhood of Exploring Sanli Village, Taipei (\\\"A peaceful view.\\\") \",\n    \"details\":\"I took a photo of Mount scenery at the residential neighborhood of Exploring Sanli Village, Taipei (\\\"A peaceful view.\\\") \",\n    \"date\":\"2019-04-01 18:33:02+08:00\"\n  },\n  {\n    \"id\":\"photos_100\",\n    \"desc\":\"I took a photo of Control tower at the tower of Photographing Platform in Taipei (\\\"A view from the top.\\\") \",\n    \"details\":\"I took a photo of Control tower at the tower of Photographing Platform in Taipei (\\\"A view from the top.\\\") \",\n    \"date\":\"2019-04-01 18:33:52+08:00\"\n  },\n  {\n    \"id\":\"photos_101\",\n    \"desc\":\"I took a photo of Landmark at the tower of \\\"Photography Platform at 101 Tower\\\" (\\\"A view from the top.\\\") \",\n    \"details\":\"I took a photo of Landmark at the tower of \\\"Photography Platform at 101 Tower\\\" (\\\"A view from the top.\\\") \",\n    \"date\":\"2019-04-01 18:34:03+08:00\"\n  },\n  {\n    \"id\":\"photos_102\",\n    \"desc\":\"I took a photo of Taiwan passport at the skyscraper of Exploring Taipei: \\u6885\\u82b1\\u7403\\u5834 (Exploring the world from Taiwan.) \",\n    \"details\":\"I took a photo of Taiwan passport at the skyscraper of Exploring Taipei: \\u6885\\u82b1\\u7403\\u5834 (Exploring the world from Taiwan.) \",\n    \"date\":\"2019-04-01 18:34:13+08:00\"\n  },\n  {\n    \"id\":\"photos_103\",\n    \"desc\":\"I took a photo of Taiwan passport at the tower of Exploring Taipei: \\u6885\\u82b1\\u7403\\u5834 (Exploring Taiwan.) \",\n    \"details\":\"I took a photo of Taiwan passport at the tower of Exploring Taipei: \\u6885\\u82b1\\u7403\\u5834 (Exploring Taiwan.) \",\n    \"date\":\"2019-04-01 18:34:18+08:00\"\n  },\n  {\n    \"id\":\"photos_104\",\n    \"desc\":\"I took a photo of Youtiao at the tower of Exploring Taipei: \\u6885\\u82b1\\u7403\\u5834 (\\\"Youtiao in the Tower\\\") \",\n    \"details\":\"I took a photo of Youtiao at the tower of Exploring Taipei: \\u6885\\u82b1\\u7403\\u5834 (\\\"Youtiao in the Tower\\\") \",\n    \"date\":\"2019-04-01 18:44:00+08:00\"\n  },\n  {\n    \"id\":\"photos_105\",\n    \"desc\":\"I took a photo of Panorama at the park of Exploring Nature at \\u8c61\\u5c71\\u81ea\\u7136\\u6b65\\u9053 (Enjoying the view.) \",\n    \"details\":\"I took a photo of Panorama at the park of Exploring Nature at \\u8c61\\u5c71\\u81ea\\u7136\\u6b65\\u9053 (Enjoying the view.) \",\n    \"date\":\"2019-04-01 18:47:11+08:00\"\n  },\n  {\n    \"id\":\"photos_106\",\n    \"desc\":\"I took a photo of Tower at the tower of Exploring Taipei's Elephant Mountain Trail (\\\"A view from the top.\\\") \",\n    \"details\":\"I took a photo of Tower at the tower of Exploring Taipei's Elephant Mountain Trail (\\\"A view from the top.\\\") \",\n    \"date\":\"2019-04-01 18:54:00+08:00\"\n  },\n  {\n    \"id\":\"photos_107\",\n    \"desc\":\"I took a photo of Self-help book at the bookstore of Randall County, Texas (\\\"Find your path to success.\\\") \",\n    \"details\":\"I took a photo of Self-help book at the bookstore of Randall County, Texas (\\\"Find your path to success.\\\") \",\n    \"date\":\"2019-04-02 19:09:25-07:00\"\n  },\n  {\n    \"id\":\"photos_108\",\n    \"desc\":\"I took a photo of Self-help book at the pantry of Randall County, Texas (\\\"Finding Solutions at Home\\\") \",\n    \"details\":\"I took a photo of Self-help book at the pantry of Randall County, Texas (\\\"Finding Solutions at Home\\\") \",\n    \"date\":\"2019-04-02 19:10:05-07:00\"\n  },\n  {\n    \"id\":\"photos_109\",\n    \"desc\":\"I took a photo of Self-help book at the bookstore of Randall County, Texas (\\\"Find your path to success.\\\") \",\n    \"details\":\"I took a photo of Self-help book at the bookstore of Randall County, Texas (\\\"Find your path to success.\\\") \",\n    \"date\":\"2019-04-02 19:16:56-07:00\"\n  },\n  {\n    \"id\":\"photos_110\",\n    \"desc\":\"I took a photo of Invoice at the hotel room of \\\"Texas Home on Greg Street\\\" (\\\"Hotel Room Invoice\\\") \",\n    \"details\":\"I took a photo of Invoice at the hotel room of \\\"Texas Home on Greg Street\\\" (\\\"Hotel Room Invoice\\\") \",\n    \"date\":\"2019-04-03 08:53:44-07:00\"\n  },\n  {\n    \"id\":\"photos_111\",\n    \"desc\":\"I took a photo of Lupinus mutabilis at the botanical garden of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color.\\\") \",\n    \"details\":\"I took a photo of Lupinus mutabilis at the botanical garden of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color.\\\") \",\n    \"date\":\"2019-04-06 12:16:12-07:00\"\n  },\n  {\n    \"id\":\"photos_112\",\n    \"desc\":\"I took a photo of Lavandula lanata at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"details\":\"I took a photo of Lavandula lanata at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"date\":\"2019-04-06 12:16:37-07:00\"\n  },\n  {\n    \"id\":\"photos_113\",\n    \"desc\":\"I took a photo of Lavandula lanata at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"details\":\"I took a photo of Lavandula lanata at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"date\":\"2019-04-06 12:16:36-07:00\"\n  },\n  {\n    \"id\":\"photos_114\",\n    \"desc\":\"I took a photo of Fernleaf lavender at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"details\":\"I took a photo of Fernleaf lavender at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"date\":\"2019-04-06 12:17:05-07:00\"\n  },\n  {\n    \"id\":\"photos_115\",\n    \"desc\":\"I took a photo of Lavandula lanata at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"details\":\"I took a photo of Lavandula lanata at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"date\":\"2019-04-06 12:17:19-07:00\"\n  },\n  {\n    \"id\":\"photos_116\",\n    \"desc\":\"I took a photo of Lavandula lanata at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"details\":\"I took a photo of Lavandula lanata at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"date\":\"2019-04-06 12:17:32-07:00\"\n  },\n  {\n    \"id\":\"photos_117\",\n    \"desc\":\"I took a photo of Smoketree at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"A tranquil oasis in the garden.\\\") \",\n    \"details\":\"I took a photo of Smoketree at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"A tranquil oasis in the garden.\\\") \",\n    \"date\":\"2019-04-06 12:17:40-07:00\"\n  },\n  {\n    \"id\":\"photos_118\",\n    \"desc\":\"I took a photo of Fernleaf lavender at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"details\":\"I took a photo of Fernleaf lavender at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"date\":\"2019-04-10 15:59:42-07:00\"\n  },\n  {\n    \"id\":\"photos_119\",\n    \"desc\":\"I took a photo of Fernleaf lavender at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"details\":\"I took a photo of Fernleaf lavender at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"date\":\"2019-04-10 15:59:41-07:00\"\n  },\n  {\n    \"id\":\"photos_120\",\n    \"desc\":\"I took a photo of Lavandula lanata at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"details\":\"I took a photo of Lavandula lanata at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"date\":\"2019-04-11 16:03:08-07:00\"\n  },\n  {\n    \"id\":\"photos_121\",\n    \"desc\":\"I took a photo of Aesculus californica at the orchard of \\\"Texas Home on Greg Street\\\" (California Buckeye in bloom.) \",\n    \"details\":\"I took a photo of Aesculus californica at the orchard of \\\"Texas Home on Greg Street\\\" (California Buckeye in bloom.) \",\n    \"date\":\"2019-04-11 17:50:51-07:00\"\n  },\n  {\n    \"id\":\"photos_122\",\n    \"desc\":\"I took a photo of Calamondin at the orchard of \\\"Texas Home on Greg Street\\\" (A burst of citrus in the orchard.) \",\n    \"details\":\"I took a photo of Calamondin at the orchard of \\\"Texas Home on Greg Street\\\" (A burst of citrus in the orchard.) \",\n    \"date\":\"2019-04-11 17:50:53-07:00\"\n  },\n  {\n    \"id\":\"photos_123\",\n    \"desc\":\"I took a photo of Fruit tree at the orchard of \\\"Texas Home on Greg Street\\\" (\\\"A bounty of fruit.\\\") \",\n    \"details\":\"I took a photo of Fruit tree at the orchard of \\\"Texas Home on Greg Street\\\" (\\\"A bounty of fruit.\\\") \",\n    \"date\":\"2019-04-11 17:51:04-07:00\"\n  },\n  {\n    \"id\":\"photos_124\",\n    \"desc\":\"I took a photo of Crabapple at the orchard of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color.\\\") \",\n    \"details\":\"I took a photo of Crabapple at the orchard of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color.\\\") \",\n    \"date\":\"2019-04-11 17:51:03-07:00\"\n  },\n  {\n    \"id\":\"photos_125\",\n    \"desc\":\"I took a photo of Fernleaf lavender at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"details\":\"I took a photo of Fernleaf lavender at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"date\":\"2019-04-13 13:08:12-07:00\"\n  },\n  {\n    \"id\":\"photos_126\",\n    \"desc\":\"I took a photo of Fernleaf lavender at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"details\":\"I took a photo of Fernleaf lavender at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"date\":\"2019-04-13 13:23:32-07:00\"\n  },\n  {\n    \"id\":\"photos_127\",\n    \"desc\":\"I took a photo of Eschscholzia californica at the yard of \\\"Texas Home on Greg Street\\\" (California Poppies in bloom.) \",\n    \"details\":\"I took a photo of Eschscholzia californica at the yard of \\\"Texas Home on Greg Street\\\" (California Poppies in bloom.) \",\n    \"date\":\"2019-04-13 13:23:49-07:00\"\n  },\n  {\n    \"id\":\"photos_128\",\n    \"desc\":\"I took a photo of Fernleaf lavender at the yard of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty.\\\") \",\n    \"details\":\"I took a photo of Fernleaf lavender at the yard of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty.\\\") \",\n    \"date\":\"2019-04-13 13:24:21-07:00\"\n  },\n  {\n    \"id\":\"photos_129\",\n    \"desc\":\"I took a photo of Rock rose at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"details\":\"I took a photo of Rock rose at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"date\":\"2019-04-14 08:23:09-07:00\"\n  },\n  {\n    \"id\":\"photos_130\",\n    \"desc\":\"I took a photo of Rock rose at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"details\":\"I took a photo of Rock rose at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"date\":\"2019-04-14 08:23:14-07:00\"\n  },\n  {\n    \"id\":\"photos_131\",\n    \"desc\":\"I took a photo of Rock rose at the botanical garden of \\\"Texas Home on Greg Street\\\" (\\\"Beauty in the Garden\\\") \",\n    \"details\":\"I took a photo of Rock rose at the botanical garden of \\\"Texas Home on Greg Street\\\" (\\\"Beauty in the Garden\\\") \",\n    \"date\":\"2019-04-14 11:09:42-07:00\"\n  },\n  {\n    \"id\":\"photos_132\",\n    \"desc\":\"I took a photo of Rock rose at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"details\":\"I took a photo of Rock rose at the vegetation desert of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the desert.\\\") \",\n    \"date\":\"2019-04-14 11:09:56-07:00\"\n  },\n  {\n    \"id\":\"photos_133\",\n    \"desc\":\"I took a photo of Eco hotel at the outdoor hotel of Vancouver's Canada Place (\\\"A peaceful retreat in nature.\\\") \",\n    \"details\":\"I took a photo of Eco hotel at the outdoor hotel of Vancouver's Canada Place (\\\"A peaceful retreat in nature.\\\") \",\n    \"date\":\"2019-04-14 19:19:06-07:00\"\n  },\n  {\n    \"id\":\"photos_134\",\n    \"desc\":\"I took a photo of Convention center at the roof garden of Vancouver's Canada Place (\\\"A view from above.\\\") \",\n    \"details\":\"I took a photo of Convention center at the roof garden of Vancouver's Canada Place (\\\"A view from above.\\\") \",\n    \"date\":\"2019-04-14 19:28:23-07:00\"\n  },\n  {\n    \"id\":\"photos_135\",\n    \"desc\":\"I took a photo of Cable-stayed bridge at the bridge of Exploring Gastown, Vancouver (\\\"A modern marvel.\\\") \",\n    \"details\":\"I took a photo of Cable-stayed bridge at the bridge of Exploring Gastown, Vancouver (\\\"A modern marvel.\\\") \",\n    \"date\":\"2019-04-14 20:40:40-07:00\"\n  },\n  {\n    \"id\":\"photos_136\",\n    \"desc\":\"I took a photo of Convention center at the outdoor hotel of Vancouver's Canada Place (\\\"A gathering place for all.\\\") \",\n    \"details\":\"I took a photo of Convention center at the outdoor hotel of Vancouver's Canada Place (\\\"A gathering place for all.\\\") \",\n    \"date\":\"2019-04-15 08:03:01-07:00\"\n  },\n  {\n    \"id\":\"photos_137\",\n    \"desc\":\"I took a photo of Panorama at the conference center of Vancouver's Canada Place (\\\"A view of the conference center.\\\") \",\n    \"details\":\"I took a photo of Panorama at the conference center of Vancouver's Canada Place (\\\"A view of the conference center.\\\") \",\n    \"date\":\"2019-04-15 08:03:20-07:00\"\n  },\n  {\n    \"id\":\"photos_138\",\n    \"desc\":\"I took a photo of Shoe at the shoe shop of Vancouver's Canada Place (\\\"Step into style.\\\") \",\n    \"details\":\"I took a photo of Shoe at the shoe shop of Vancouver's Canada Place (\\\"Step into style.\\\") \",\n    \"date\":\"2019-04-15 12:16:09-07:00\"\n  },\n  {\n    \"id\":\"photos_139\",\n    \"desc\":\"I took a photo of Veggie burger at the fastfood restaurant of Luxury in Gastown, Vancouver (\\\"Tasty and healthy!\\\") \",\n    \"details\":\"I took a photo of Veggie burger at the fastfood restaurant of Luxury in Gastown, Vancouver (\\\"Tasty and healthy!\\\") \",\n    \"date\":\"2019-04-15 12:34:01-07:00\"\n  },\n  {\n    \"id\":\"photos_140\",\n    \"desc\":\"I took a photo of Electric griddle at the kitchen of Gastown Nail Salon (\\\"Cooking made easy!\\\") \",\n    \"details\":\"I took a photo of Electric griddle at the kitchen of Gastown Nail Salon (\\\"Cooking made easy!\\\") \",\n    \"date\":\"2019-04-15 13:45:18-07:00\"\n  },\n  {\n    \"id\":\"photos_141\",\n    \"desc\":\"I took a photo of Food warmer at the indoor booth of Vancouver Convention Centre West (\\\"Keeping it warm.\\\") \",\n    \"details\":\"I took a photo of Food warmer at the indoor booth of Vancouver Convention Centre West (\\\"Keeping it warm.\\\") \",\n    \"date\":\"2019-04-15 13:47:29-07:00\"\n  },\n  {\n    \"id\":\"photos_142\",\n    \"desc\":\"I took a photo of Food dehydrator at the kitchen of Gastown Nail Salon (\\\"Preserving the harvest.\\\") \",\n    \"details\":\"I took a photo of Food dehydrator at the kitchen of Gastown Nail Salon (\\\"Preserving the harvest.\\\") \",\n    \"date\":\"2019-04-15 13:47:35-07:00\"\n  },\n  {\n    \"id\":\"photos_143\",\n    \"desc\":\"I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) \",\n    \"details\":\"I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) \",\n    \"date\":\"2019-04-15 14:19:43-07:00\"\n  },\n  {\n    \"id\":\"photos_144\",\n    \"desc\":\"I took a photo of Single-origin coffee at the coffee shop of Vancouver Convention Centre West (\\\"Freshly brewed.\\\") \",\n    \"details\":\"I took a photo of Single-origin coffee at the coffee shop of Vancouver Convention Centre West (\\\"Freshly brewed.\\\") \",\n    \"date\":\"2019-04-15 14:19:45-07:00\"\n  },\n  {\n    \"id\":\"photos_145\",\n    \"desc\":\"I took a photo of Single-origin coffee at the coffee shop of Vancouver Convention Centre West (\\\"Freshly brewed.\\\") \",\n    \"details\":\"I took a photo of Single-origin coffee at the coffee shop of Vancouver Convention Centre West (\\\"Freshly brewed.\\\") \",\n    \"date\":\"2019-04-15 14:19:50-07:00\"\n  },\n  {\n    \"id\":\"photos_146\",\n    \"desc\":\"I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) \",\n    \"details\":\"I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) \",\n    \"date\":\"2019-04-15 14:19:55-07:00\"\n  },\n  {\n    \"id\":\"photos_147\",\n    \"desc\":\"I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) \",\n    \"details\":\"I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) \",\n    \"date\":\"2019-04-15 14:19:56-07:00\"\n  },\n  {\n    \"id\":\"photos_148\",\n    \"desc\":\"I took a photo of Portafilter at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) \",\n    \"details\":\"I took a photo of Portafilter at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) \",\n    \"date\":\"2019-04-15 14:20:02-07:00\"\n  },\n  {\n    \"id\":\"photos_149\",\n    \"desc\":\"I took a photo of Portafilter at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) \",\n    \"details\":\"I took a photo of Portafilter at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) \",\n    \"date\":\"2019-04-15 14:20:03-07:00\"\n  },\n  {\n    \"id\":\"photos_150\",\n    \"desc\":\"I took a photo of Espresso machine at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) \",\n    \"details\":\"I took a photo of Espresso machine at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) \",\n    \"date\":\"2019-04-15 14:20:07-07:00\"\n  },\n  {\n    \"id\":\"photos_151\",\n    \"desc\":\"I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) \",\n    \"details\":\"I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) \",\n    \"date\":\"2019-04-15 14:20:07-07:00\"\n  },\n  {\n    \"id\":\"photos_152\",\n    \"desc\":\"I took a photo of Espresso machine at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) \",\n    \"details\":\"I took a photo of Espresso machine at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) \",\n    \"date\":\"2019-04-15 14:20:08-07:00\"\n  },\n  {\n    \"id\":\"photos_153\",\n    \"desc\":\"I took a photo of Espresso machine at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) \",\n    \"details\":\"I took a photo of Espresso machine at the coffee shop of Vancouver Convention Centre West (Brewing a perfect cup.) \",\n    \"date\":\"2019-04-15 14:20:19-07:00\"\n  },\n  {\n    \"id\":\"photos_154\",\n    \"desc\":\"I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) \",\n    \"details\":\"I took a photo of Barista at the coffee shop of Vancouver Convention Centre West (Brewing up a fresh cup of coffee.) \",\n    \"date\":\"2019-04-15 14:20:20-07:00\"\n  },\n  {\n    \"id\":\"photos_155\",\n    \"desc\":\"I took a photo of Harbor at the harbor of Gastown's Bellaggio Caf\\u00e9 & Gelateria (\\\"A peaceful view.\\\") \",\n    \"details\":\"I took a photo of Harbor at the harbor of Gastown's Bellaggio Caf\\u00e9 & Gelateria (\\\"A peaceful view.\\\") \",\n    \"date\":\"2019-04-15 15:21:26-07:00\"\n  },\n  {\n    \"id\":\"photos_156\",\n    \"desc\":\"I took a photo of Victoria day at the harbor of Vancouver's Canada Place (Celebrating Victoria Day in the harbor.) \",\n    \"details\":\"I took a photo of Victoria day at the harbor of Vancouver's Canada Place (Celebrating Victoria Day in the harbor.) \",\n    \"date\":\"2019-04-15 15:25:50-07:00\"\n  },\n  {\n    \"id\":\"photos_157\",\n    \"desc\":\"I took a photo of Panorama at the heliport of Vancouver's Canada Place (Aerial view of the heliport.) \",\n    \"details\":\"I took a photo of Panorama at the heliport of Vancouver's Canada Place (Aerial view of the heliport.) \",\n    \"date\":\"2019-04-15 15:25:58-07:00\"\n  },\n  {\n    \"id\":\"photos_158\",\n    \"desc\":\"I took a photo of Stage at the indoor stage of Gastown Nail Salon (\\\"Ready for the show!\\\") \",\n    \"details\":\"I took a photo of Stage at the indoor stage of Gastown Nail Salon (\\\"Ready for the show!\\\") \",\n    \"date\":\"2019-04-15 18:30:43-07:00\"\n  },\n  {\n    \"id\":\"photos_159\",\n    \"desc\":\"I took a photo of Stage at the indoor stage of Vancouver Convention Centre West (\\\"Ready for the show!\\\") \",\n    \"details\":\"I took a photo of Stage at the indoor stage of Vancouver Convention Centre West (\\\"Ready for the show!\\\") \",\n    \"date\":\"2019-04-15 18:30:48-07:00\"\n  },\n  {\n    \"id\":\"photos_160\",\n    \"desc\":\"I took a photo of Performance at the indoor stage of Vancouver Convention Centre West (\\\"A captivating performance.\\\") \",\n    \"details\":\"I took a photo of Performance at the indoor stage of Vancouver Convention Centre West (\\\"A captivating performance.\\\") \",\n    \"date\":\"2019-04-15 18:31:20-07:00\"\n  },\n  {\n    \"id\":\"photos_161\",\n    \"desc\":\"I took a photo of Performance at the indoor stage of Vancouver Convention Centre West (\\\"A captivating performance.\\\") \",\n    \"details\":\"I took a photo of Performance at the indoor stage of Vancouver Convention Centre West (\\\"A captivating performance.\\\") \",\n    \"date\":\"2019-04-15 18:31:22-07:00\"\n  },\n  {\n    \"id\":\"photos_162\",\n    \"desc\":\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\\\"Explore the possibilities with an interactive kiosk.\\\") \",\n    \"details\":\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\\\"Explore the possibilities with an interactive kiosk.\\\") \",\n    \"date\":\"2019-04-16 07:52:35-07:00\"\n  },\n  {\n    \"id\":\"photos_163\",\n    \"desc\":\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\\\"Explore the possibilities with an interactive kiosk.\\\") \",\n    \"details\":\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\\\"Explore the possibilities with an interactive kiosk.\\\") \",\n    \"date\":\"2019-04-16 07:52:38-07:00\"\n  },\n  {\n    \"id\":\"photos_164\",\n    \"desc\":\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\\\"Explore the possibilities with an interactive kiosk.\\\") \",\n    \"details\":\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\\\"Explore the possibilities with an interactive kiosk.\\\") \",\n    \"date\":\"2019-04-16 07:52:47-07:00\"\n  },\n  {\n    \"id\":\"photos_165\",\n    \"desc\":\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\\\"Explore the possibilities with an interactive kiosk.\\\") \",\n    \"details\":\"I took a photo of Interactive kiosk at the indoor booth of Vancouver's Shaw Tower (\\\"Explore the possibilities with an interactive kiosk.\\\") \",\n    \"date\":\"2019-04-16 07:52:51-07:00\"\n  },\n  {\n    \"id\":\"photos_166\",\n    \"desc\":\"I took a photo of Presentation at the indoor stage of Vancouver Convention Centre West (\\\"Ready to present!\\\") \",\n    \"details\":\"I took a photo of Presentation at the indoor stage of Vancouver Convention Centre West (\\\"Ready to present!\\\") \",\n    \"date\":\"2019-04-16 10:02:50-07:00\"\n  },\n  {\n    \"id\":\"photos_167\",\n    \"desc\":\"I took a photo of Superfood at the coffee shop of Vancouver Convention Centre West (\\\"Healthy and delicious!\\\") \",\n    \"details\":\"I took a photo of Superfood at the coffee shop of Vancouver Convention Centre West (\\\"Healthy and delicious!\\\") \",\n    \"date\":\"2019-04-16 10:35:31-07:00\"\n  },\n  {\n    \"id\":\"photos_168\",\n    \"desc\":\"I took a photo of Microphone stand at the indoor stage of Vancouver Convention Centre West (\\\"Ready to rock!\\\") \",\n    \"details\":\"I took a photo of Microphone stand at the indoor stage of Vancouver Convention Centre West (\\\"Ready to rock!\\\") \",\n    \"date\":\"2019-04-16 11:33:45-07:00\"\n  },\n  {\n    \"id\":\"photos_169\",\n    \"desc\":\"I took a photo of Presentation at the conference room of Vancouver's Olympic Cauldron (\\\"Sharing ideas.\\\") \",\n    \"details\":\"I took a photo of Presentation at the conference room of Vancouver's Olympic Cauldron (\\\"Sharing ideas.\\\") \",\n    \"date\":\"2019-04-16 15:58:10-07:00\"\n  },\n  {\n    \"id\":\"photos_170\",\n    \"desc\":\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\\\"Speaking to a crowd.\\\") \",\n    \"details\":\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\\\"Speaking to a crowd.\\\") \",\n    \"date\":\"2019-04-17 08:56:50-07:00\"\n  },\n  {\n    \"id\":\"photos_171\",\n    \"desc\":\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\\\"Speaking to a crowd.\\\") \",\n    \"details\":\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\\\"Speaking to a crowd.\\\") \",\n    \"date\":\"2019-04-17 09:16:52-07:00\"\n  },\n  {\n    \"id\":\"photos_172\",\n    \"desc\":\"I took a photo of Ipad at the runway of Vancouver Convention Centre West (\\\"Tech on the go.\\\") \",\n    \"details\":\"I took a photo of Ipad at the runway of Vancouver Convention Centre West (\\\"Tech on the go.\\\") \",\n    \"date\":\"2019-04-17 09:51:56-07:00\"\n  },\n  {\n    \"id\":\"photos_173\",\n    \"desc\":\"I took a photo of Mixed-use at the skyscraper of Vancouver Convention Centre West (\\\"Urban living at its finest.\\\") \",\n    \"details\":\"I took a photo of Mixed-use at the skyscraper of Vancouver Convention Centre West (\\\"Urban living at its finest.\\\") \",\n    \"date\":\"2019-04-17 12:32:29-07:00\"\n  },\n  {\n    \"id\":\"photos_174\",\n    \"desc\":\"I took a photo of Pitch and putt at the performance arena of Vancouver Convention Centre West (\\\"Putting for glory!\\\") \",\n    \"details\":\"I took a photo of Pitch and putt at the performance arena of Vancouver Convention Centre West (\\\"Putting for glory!\\\") \",\n    \"date\":\"2019-04-17 12:35:20-07:00\"\n  },\n  {\n    \"id\":\"photos_175\",\n    \"desc\":\"I took a photo of Eco hotel at the conference center of Vancouver Convention Centre West (\\\"Sustainable hospitality at its finest.\\\") \",\n    \"details\":\"I took a photo of Eco hotel at the conference center of Vancouver Convention Centre West (\\\"Sustainable hospitality at its finest.\\\") \",\n    \"date\":\"2019-04-17 12:43:24-07:00\"\n  },\n  {\n    \"id\":\"photos_176\",\n    \"desc\":\"I took a photo of Eco hotel at the public atrium of Vancouver Convention Centre West (\\\"A tranquil oasis in the city.\\\") \",\n    \"details\":\"I took a photo of Eco hotel at the public atrium of Vancouver Convention Centre West (\\\"A tranquil oasis in the city.\\\") \",\n    \"date\":\"2019-04-17 12:43:27-07:00\"\n  },\n  {\n    \"id\":\"photos_177\",\n    \"desc\":\"I took a photo of Academic conference at the conference room of Vancouver Convention Centre West (Academic minds come together.) \",\n    \"details\":\"I took a photo of Academic conference at the conference room of Vancouver Convention Centre West (Academic minds come together.) \",\n    \"date\":\"2019-04-17 13:44:56-07:00\"\n  },\n  {\n    \"id\":\"photos_178\",\n    \"desc\":\"I took a photo of Public speaking at the ocean deep underwater of Vancouver Convention Centre West (\\\"Speaking Under the Sea\\\") \",\n    \"details\":\"I took a photo of Public speaking at the ocean deep underwater of Vancouver Convention Centre West (\\\"Speaking Under the Sea\\\") \",\n    \"date\":\"2019-04-17 18:34:48-07:00\"\n  },\n  {\n    \"id\":\"photos_179\",\n    \"desc\":\"I took a photo of Presentation at the landfill of Vancouver Convention Centre West (\\\"A stark reminder of our waste.\\\") \",\n    \"details\":\"I took a photo of Presentation at the landfill of Vancouver Convention Centre West (\\\"A stark reminder of our waste.\\\") \",\n    \"date\":\"2019-04-18 09:25:03-07:00\"\n  },\n  {\n    \"id\":\"photos_180\",\n    \"desc\":\"I took a photo of Public speaking at the indoor stage of Vancouver Convention Centre West (\\\"Speaking to the crowd.\\\") \",\n    \"details\":\"I took a photo of Public speaking at the indoor stage of Vancouver Convention Centre West (\\\"Speaking to the crowd.\\\") \",\n    \"date\":\"2019-04-18 11:48:54-07:00\"\n  },\n  {\n    \"id\":\"photos_181\",\n    \"desc\":\"I took a photo of Hardware accessory at the home theater of Vancouver Convention Centre West (\\\"Complete the setup.\\\") \",\n    \"details\":\"I took a photo of Hardware accessory at the home theater of Vancouver Convention Centre West (\\\"Complete the setup.\\\") \",\n    \"date\":\"2019-04-18 12:29:21-07:00\"\n  },\n  {\n    \"id\":\"photos_182\",\n    \"desc\":\"I took a photo of Public speaking at the classroom of Vancouver's Canada Place (\\\"Learning to communicate effectively.\\\") \",\n    \"details\":\"I took a photo of Public speaking at the classroom of Vancouver's Canada Place (\\\"Learning to communicate effectively.\\\") \",\n    \"date\":\"2019-04-18 16:25:56-07:00\"\n  },\n  {\n    \"id\":\"photos_183\",\n    \"desc\":\"I took a photo of Aerialist at the performance arena of Vancouver Convention Centre West (\\\"Aerialist in flight.\\\") \",\n    \"details\":\"I took a photo of Aerialist at the performance arena of Vancouver Convention Centre West (\\\"Aerialist in flight.\\\") \",\n    \"date\":\"2019-04-18 17:10:13-07:00\"\n  },\n  {\n    \"id\":\"photos_184\",\n    \"desc\":\"I took a photo of Public speaking at the indoor stage of Vancouver Convention Centre West (\\\"Speaking to the crowd.\\\") \",\n    \"details\":\"I took a photo of Public speaking at the indoor stage of Vancouver Convention Centre West (\\\"Speaking to the crowd.\\\") \",\n    \"date\":\"2019-04-19 11:21:20-07:00\"\n  },\n  {\n    \"id\":\"photos_185\",\n    \"desc\":\"I took a photo of Public speaking at the indoor stage of Vancouver Convention Centre West (\\\"Speaking to the crowd.\\\") \",\n    \"details\":\"I took a photo of Public speaking at the indoor stage of Vancouver Convention Centre West (\\\"Speaking to the crowd.\\\") \",\n    \"date\":\"2019-04-19 11:22:29-07:00\"\n  },\n  {\n    \"id\":\"photos_186\",\n    \"desc\":\"I took a photo of Presentation at the auditorium of Vancouver Convention Centre West (\\\"Ready to present!\\\") \",\n    \"details\":\"I took a photo of Presentation at the auditorium of Vancouver Convention Centre West (\\\"Ready to present!\\\") \",\n    \"date\":\"2019-04-19 11:34:21-07:00\"\n  },\n  {\n    \"id\":\"photos_187\",\n    \"desc\":\"I took a photo of Presentation at the indoor stage of Vancouver Convention Centre West (\\\"Ready to present!\\\") \",\n    \"details\":\"I took a photo of Presentation at the indoor stage of Vancouver Convention Centre West (\\\"Ready to present!\\\") \",\n    \"date\":\"2019-04-19 11:37:25-07:00\"\n  },\n  {\n    \"id\":\"photos_188\",\n    \"desc\":\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\\\"Speaking to a crowd.\\\") \",\n    \"details\":\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\\\"Speaking to a crowd.\\\") \",\n    \"date\":\"2019-04-19 11:38:46-07:00\"\n  },\n  {\n    \"id\":\"photos_189\",\n    \"desc\":\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\\\"Speaking to a crowd.\\\") \",\n    \"details\":\"I took a photo of Public speaking at the auditorium of Vancouver Convention Centre West (\\\"Speaking to a crowd.\\\") \",\n    \"date\":\"2019-04-19 11:39:45-07:00\"\n  },\n  {\n    \"id\":\"photos_190\",\n    \"desc\":\"I took a photo of Tesla bluestar at the car interior of Old School Iron in Amarillo, TX (\\\"Luxury at its finest.\\\") \",\n    \"details\":\"I took a photo of Tesla bluestar at the car interior of Old School Iron in Amarillo, TX (\\\"Luxury at its finest.\\\") \",\n    \"date\":\"2019-04-20 11:12:11-07:00\"\n  },\n  {\n    \"id\":\"photos_191\",\n    \"desc\":\"I took a photo of Fernleaf lavender at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"details\":\"I took a photo of Fernleaf lavender at the formal garden of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty in the formal garden.\\\") \",\n    \"date\":\"2019-04-20 13:02:58-07:00\"\n  },\n  {\n    \"id\":\"photos_192\",\n    \"desc\":\"I took a photo of Energy bar at the pantry of \\\"Texas Home on Greg Street\\\" (\\\"Grab and go!\\\") \",\n    \"details\":\"I took a photo of Energy bar at the pantry of \\\"Texas Home on Greg Street\\\" (\\\"Grab and go!\\\") \",\n    \"date\":\"2019-04-20 14:04:32-07:00\"\n  },\n  {\n    \"id\":\"photos_193\",\n    \"desc\":\"I took a photo of Invoice at the hospital of \\\"Texas Home on Greg Street\\\" (\\\"Medical care in progress.\\\") \",\n    \"details\":\"I took a photo of Invoice at the hospital of \\\"Texas Home on Greg Street\\\" (\\\"Medical care in progress.\\\") \",\n    \"date\":\"2019-04-20 17:58:49-07:00\"\n  },\n  {\n    \"id\":\"photos_194\",\n    \"desc\":\"I took a photo of Invoice at the hospital room of \\\"Texas Home on Greg Street\\\" (\\\"Medical care in progress.\\\") \",\n    \"details\":\"I took a photo of Invoice at the hospital room of \\\"Texas Home on Greg Street\\\" (\\\"Medical care in progress.\\\") \",\n    \"date\":\"2019-04-20 17:58:54-07:00\"\n  },\n  {\n    \"id\":\"photos_195\",\n    \"desc\":\"I took a photo of Sweet pepperbush at the broadleaf forest of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the woods.\\\") \",\n    \"details\":\"I took a photo of Sweet pepperbush at the broadleaf forest of \\\"Texas Home on Greg Street\\\" (\\\"A splash of color in the woods.\\\") \",\n    \"date\":\"2019-04-21 10:33:26-07:00\"\n  },\n  {\n    \"id\":\"photos_196\",\n    \"desc\":\"I took a photo of Aesculus californica at the japanese garden of \\\"Texas Home on Greg Street\\\" (\\\"California Buckeye in bloom\\\") \",\n    \"details\":\"I took a photo of Aesculus californica at the japanese garden of \\\"Texas Home on Greg Street\\\" (\\\"California Buckeye in bloom\\\") \",\n    \"date\":\"2019-04-21 11:39:34-07:00\"\n  },\n  {\n    \"id\":\"photos_197\",\n    \"desc\":\"I took a photo of Aesculus californica at the japanese garden of \\\"Texas Home on Greg Street\\\" (\\\"California Buckeye in bloom\\\") \",\n    \"details\":\"I took a photo of Aesculus californica at the japanese garden of \\\"Texas Home on Greg Street\\\" (\\\"California Buckeye in bloom\\\") \",\n    \"date\":\"2019-04-21 11:39:50-07:00\"\n  },\n  {\n    \"id\":\"photos_198\",\n    \"desc\":\"I took a photo of Smoketree at the yard of \\\"Texas Home on Greg Street\\\" (\\\"Beautiful smoketree in the yard.\\\") \",\n    \"details\":\"I took a photo of Smoketree at the yard of \\\"Texas Home on Greg Street\\\" (\\\"Beautiful smoketree in the yard.\\\") \",\n    \"date\":\"2019-04-21 11:41:20-07:00\"\n  },\n  {\n    \"id\":\"photos_199\",\n    \"desc\":\"I took a photo of Smoketree at the driveway of \\\"Texas Home on Greg Street\\\" (\\\"Beautiful smoketree in the driveway.\\\") \",\n    \"details\":\"I took a photo of Smoketree at the driveway of \\\"Texas Home on Greg Street\\\" (\\\"Beautiful smoketree in the driveway.\\\") \",\n    \"date\":\"2019-04-21 11:41:39-07:00\"\n  },\n  {\n    \"id\":\"photos_200\",\n    \"desc\":\"I took a photo of Fernleaf lavender at the driveway of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty.\\\") \",\n    \"details\":\"I took a photo of Fernleaf lavender at the driveway of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty.\\\") \",\n    \"date\":\"2019-04-23 08:14:56-07:00\"\n  },\n  {\n    \"id\":\"photos_201\",\n    \"desc\":\"I took a photo of Fernleaf lavender at the driveway of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty.\\\") \",\n    \"details\":\"I took a photo of Fernleaf lavender at the driveway of \\\"Texas Home on Greg Street\\\" (\\\"Fragrant beauty.\\\") \",\n    \"date\":\"2019-04-23 08:14:55-07:00\"\n  },\n  {\n    \"id\":\"photos_202\",\n    \"desc\":\"I took a photo of Receipt at the supermarket of \\\"Texas Home on Greg Street\\\" (Grocery shopping done!) \",\n    \"details\":\"I took a photo of Receipt at the supermarket of \\\"Texas Home on Greg Street\\\" (Grocery shopping done!) \",\n    \"date\":\"2019-04-23 12:25:08-07:00\"\n  },\n  {\n    \"id\":\"photos_203\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:32:53-07:00\"\n  },\n  {\n    \"id\":\"photos_204\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:35:19-07:00\"\n  },\n  {\n    \"id\":\"photos_205\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:35:28-07:00\"\n  },\n  {\n    \"id\":\"photos_206\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:35:38-07:00\"\n  },\n  {\n    \"id\":\"photos_207\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:43:55-07:00\"\n  },\n  {\n    \"id\":\"photos_208\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:45:25-07:00\"\n  },\n  {\n    \"id\":\"photos_209\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:50:35-07:00\"\n  },\n  {\n    \"id\":\"photos_210\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:52:17-07:00\"\n  },\n  {\n    \"id\":\"photos_211\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:52:16-07:00\"\n  },\n  {\n    \"id\":\"photos_212\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:55:48-07:00\"\n  },\n  {\n    \"id\":\"photos_213\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:55:59-07:00\"\n  },\n  {\n    \"id\":\"photos_214\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:59:17-07:00\"\n  },\n  {\n    \"id\":\"photos_215\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:59:23-07:00\"\n  },\n  {\n    \"id\":\"photos_216\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 18:59:30-07:00\"\n  },\n  {\n    \"id\":\"photos_217\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 19:06:22-07:00\"\n  },\n  {\n    \"id\":\"photos_218\",\n    \"desc\":\"I took a photo of Sunrise at the canyon of Exploring the Grand Canyon (\\\"A new day dawns.\\\") \",\n    \"details\":\"I took a photo of Sunrise at the canyon of Exploring the Grand Canyon (\\\"A new day dawns.\\\") \",\n    \"date\":\"2019-04-24 19:07:27-07:00\"\n  },\n  {\n    \"id\":\"photos_219\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 19:10:19-07:00\"\n  },\n  {\n    \"id\":\"photos_220\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 19:10:24-07:00\"\n  },\n  {\n    \"id\":\"photos_221\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 19:13:51-07:00\"\n  },\n  {\n    \"id\":\"photos_222\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 19:13:55-07:00\"\n  },\n  {\n    \"id\":\"photos_223\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Lodge Road (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Lodge Road (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 19:15:23-07:00\"\n  },\n  {\n    \"id\":\"photos_224\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 19:21:41-07:00\"\n  },\n  {\n    \"id\":\"photos_225\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-24 19:21:48-07:00\"\n  },\n  {\n    \"id\":\"photos_226\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Mather Point (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Mather Point (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 05:37:52-07:00\"\n  },\n  {\n    \"id\":\"photos_227\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 05:39:19-07:00\"\n  },\n  {\n    \"id\":\"photos_228\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Lodge Road (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Lodge Road (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 05:41:32-07:00\"\n  },\n  {\n    \"id\":\"photos_229\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Mather Point (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Mather Point (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 05:43:36-07:00\"\n  },\n  {\n    \"id\":\"photos_230\",\n    \"desc\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"details\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"date\":\"2019-04-25 05:43:42-07:00\"\n  },\n  {\n    \"id\":\"photos_231\",\n    \"desc\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"details\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"date\":\"2019-04-25 05:44:01-07:00\"\n  },\n  {\n    \"id\":\"photos_232\",\n    \"desc\":\"I took a photo of Lens flare at the canyon of Exploring Mather Point (\\\"A burst of light in the canyon.\\\") \",\n    \"details\":\"I took a photo of Lens flare at the canyon of Exploring Mather Point (\\\"A burst of light in the canyon.\\\") \",\n    \"date\":\"2019-04-25 05:44:16-07:00\"\n  },\n  {\n    \"id\":\"photos_233\",\n    \"desc\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"details\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"date\":\"2019-04-25 05:44:18-07:00\"\n  },\n  {\n    \"id\":\"photos_234\",\n    \"desc\":\"I took a photo of Lens flare at the canyon of Exploring Mather Point (\\\"A burst of light in the canyon.\\\") \",\n    \"details\":\"I took a photo of Lens flare at the canyon of Exploring Mather Point (\\\"A burst of light in the canyon.\\\") \",\n    \"date\":\"2019-04-25 05:44:23-07:00\"\n  },\n  {\n    \"id\":\"photos_235\",\n    \"desc\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"details\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"date\":\"2019-04-25 05:45:05-07:00\"\n  },\n  {\n    \"id\":\"photos_236\",\n    \"desc\":\"I took a photo of Sunrise at the canyon of Exploring Yavapai Lodge Road (\\\"A new day dawns.\\\") \",\n    \"details\":\"I took a photo of Sunrise at the canyon of Exploring Yavapai Lodge Road (\\\"A new day dawns.\\\") \",\n    \"date\":\"2019-04-25 05:46:17-07:00\"\n  },\n  {\n    \"id\":\"photos_237\",\n    \"desc\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"details\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"date\":\"2019-04-25 05:46:26-07:00\"\n  },\n  {\n    \"id\":\"photos_238\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Mather Point (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Mather Point (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 05:47:17-07:00\"\n  },\n  {\n    \"id\":\"photos_239\",\n    \"desc\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"details\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"date\":\"2019-04-25 05:47:39-07:00\"\n  },\n  {\n    \"id\":\"photos_240\",\n    \"desc\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"details\":\"I took a photo of Sunrise at the canyon of Exploring Mather Point (\\\"A new day dawns.\\\") \",\n    \"date\":\"2019-04-25 05:47:50-07:00\"\n  },\n  {\n    \"id\":\"photos_241\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Mather Point (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Mather Point (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 05:47:49-07:00\"\n  },\n  {\n    \"id\":\"photos_242\",\n    \"desc\":\"I took a photo of Elk at the pasture of Exploring the Grand Canyon (\\\"Majestic Elk\\\") \",\n    \"details\":\"I took a photo of Elk at the pasture of Exploring the Grand Canyon (\\\"Majestic Elk\\\") \",\n    \"date\":\"2019-04-25 05:54:16-07:00\"\n  },\n  {\n    \"id\":\"photos_243\",\n    \"desc\":\"I took a photo of Grazing at the driveway of Exploring the Grand Canyon (\\\"Enjoying the view.\\\") \",\n    \"details\":\"I took a photo of Grazing at the driveway of Exploring the Grand Canyon (\\\"Enjoying the view.\\\") \",\n    \"date\":\"2019-04-25 05:54:36-07:00\"\n  },\n  {\n    \"id\":\"photos_244\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Mather Point, Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 05:59:41-07:00\"\n  },\n  {\n    \"id\":\"photos_245\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Lodge Road (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Yavapai Lodge Road (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 06:10:13-07:00\"\n  },\n  {\n    \"id\":\"photos_246\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 06:40:46-07:00\"\n  },\n  {\n    \"id\":\"photos_247\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 06:43:27-07:00\"\n  },\n  {\n    \"id\":\"photos_248\",\n    \"desc\":\"I took a photo of Geological phenomenon at the cliff of Exploring the Grand Canyon (\\\"Nature's Artwork\\\") \",\n    \"details\":\"I took a photo of Geological phenomenon at the cliff of Exploring the Grand Canyon (\\\"Nature's Artwork\\\") \",\n    \"date\":\"2019-04-25 07:03:31-07:00\"\n  },\n  {\n    \"id\":\"photos_249\",\n    \"desc\":\"I took a photo of Canyon at the canyon of \\\"Exploring the Grand Canyon\\\" (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of \\\"Exploring the Grand Canyon\\\" (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 07:21:47-07:00\"\n  },\n  {\n    \"id\":\"photos_250\",\n    \"desc\":\"I took a photo of Two needle pinyon pine at the canyon of Exploring the Grand Canyon (\\\"A peaceful view.\\\") \",\n    \"details\":\"I took a photo of Two needle pinyon pine at the canyon of Exploring the Grand Canyon (\\\"A peaceful view.\\\") \",\n    \"date\":\"2019-04-25 07:27:41-07:00\"\n  },\n  {\n    \"id\":\"photos_251\",\n    \"desc\":\"I took a photo of Two needle pinyon pine at the canyon of Exploring the Grand Canyon (\\\"A peaceful view.\\\") \",\n    \"details\":\"I took a photo of Two needle pinyon pine at the canyon of Exploring the Grand Canyon (\\\"A peaceful view.\\\") \",\n    \"date\":\"2019-04-25 07:27:43-07:00\"\n  },\n  {\n    \"id\":\"photos_252\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring the Grand Canyon (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 08:54:45-07:00\"\n  },\n  {\n    \"id\":\"photos_253\",\n    \"desc\":\"I took a photo of Landscaping at the butte of Exploring Uptown Sedona (\\\"Nature's beauty.\\\") \",\n    \"details\":\"I took a photo of Landscaping at the butte of Exploring Uptown Sedona (\\\"Nature's beauty.\\\") \",\n    \"date\":\"2019-04-25 14:38:48-07:00\"\n  },\n  {\n    \"id\":\"photos_254\",\n    \"desc\":\"I took a photo of Landscaping at the canyon of Exploring Sedona, AZ (\\\"Exploring nature's beauty.\\\") \",\n    \"details\":\"I took a photo of Landscaping at the canyon of Exploring Sedona, AZ (\\\"Exploring nature's beauty.\\\") \",\n    \"date\":\"2019-04-25 14:39:05-07:00\"\n  },\n  {\n    \"id\":\"photos_255\",\n    \"desc\":\"I took a photo of Butte at the butte of Sedona Airport View (\\\"A view of Butte from the Butte.\\\") \",\n    \"details\":\"I took a photo of Butte at the butte of Sedona Airport View (\\\"A view of Butte from the Butte.\\\") \",\n    \"date\":\"2019-04-25 17:54:13-07:00\"\n  },\n  {\n    \"id\":\"photos_256\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Sedona, AZ (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Sedona, AZ (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 18:01:35-07:00\"\n  },\n  {\n    \"id\":\"photos_257\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Oak Creek Dev No. 1, Sedona (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Oak Creek Dev No. 1, Sedona (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 18:03:14-07:00\"\n  },\n  {\n    \"id\":\"photos_258\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Sedona, AZ (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Sedona, AZ (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 18:15:41-07:00\"\n  },\n  {\n    \"id\":\"photos_259\",\n    \"desc\":\"I took a photo of Panorama at the valley of Exploring Sedona, Arizona (A breathtaking view.) \",\n    \"details\":\"I took a photo of Panorama at the valley of Exploring Sedona, Arizona (A breathtaking view.) \",\n    \"date\":\"2019-04-25 18:22:55-07:00\"\n  },\n  {\n    \"id\":\"photos_260\",\n    \"desc\":\"I took a photo of Canyon at the canyon of \\\"Exploring Sedona's Airport Mesa Viewpoint\\\" (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of \\\"Exploring Sedona's Airport Mesa Viewpoint\\\" (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 18:24:57-07:00\"\n  },\n  {\n    \"id\":\"photos_261\",\n    \"desc\":\"I took a photo of Canyon at the canyon of \\\"Exploring Sedona's Airport Mesa Viewpoint\\\" (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of \\\"Exploring Sedona's Airport Mesa Viewpoint\\\" (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 18:25:06-07:00\"\n  },\n  {\n    \"id\":\"photos_262\",\n    \"desc\":\"I took a photo of Rainbow at the canyon of \\\"Exploring Sedona, Arizona\\\" (\\\"A burst of color.\\\") \",\n    \"details\":\"I took a photo of Rainbow at the canyon of \\\"Exploring Sedona, Arizona\\\" (\\\"A burst of color.\\\") \",\n    \"date\":\"2019-04-25 18:42:55-07:00\"\n  },\n  {\n    \"id\":\"photos_263\",\n    \"desc\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"details\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"date\":\"2019-04-25 18:43:03-07:00\"\n  },\n  {\n    \"id\":\"photos_264\",\n    \"desc\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"details\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"date\":\"2019-04-25 18:43:05-07:00\"\n  },\n  {\n    \"id\":\"photos_265\",\n    \"desc\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"details\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"date\":\"2019-04-25 18:43:14-07:00\"\n  },\n  {\n    \"id\":\"photos_266\",\n    \"desc\":\"I took a photo of Rainbow at the butte of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"details\":\"I took a photo of Rainbow at the butte of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"date\":\"2019-04-25 18:43:22-07:00\"\n  },\n  {\n    \"id\":\"photos_267\",\n    \"desc\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"details\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"date\":\"2019-04-25 18:43:39-07:00\"\n  },\n  {\n    \"id\":\"photos_268\",\n    \"desc\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"details\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"date\":\"2019-04-25 18:43:43-07:00\"\n  },\n  {\n    \"id\":\"photos_269\",\n    \"desc\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"details\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"date\":\"2019-04-25 18:43:58-07:00\"\n  },\n  {\n    \"id\":\"photos_270\",\n    \"desc\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"details\":\"I took a photo of Rainbow at the canyon of Exploring Sedona, AZ (\\\"A burst of color.\\\") \",\n    \"date\":\"2019-04-25 18:44:04-07:00\"\n  },\n  {\n    \"id\":\"photos_271\",\n    \"desc\":\"I took a photo of Rainbow at the canyon  (\\\"A burst of color.\\\") \",\n    \"details\":\"I took a photo of Rainbow at the canyon  (\\\"A burst of color.\\\") \",\n    \"date\":\"2019-04-26 00:48:52+00:00\"\n  },\n  {\n    \"id\":\"photos_272\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Sedona's Airport Loop Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Sedona's Airport Loop Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-25 18:53:16-07:00\"\n  },\n  {\n    \"id\":\"photos_273\",\n    \"desc\":\"I took a photo of Rainbow at the butte of Sedona Airport, Arizona (\\\"A burst of color.\\\") \",\n    \"details\":\"I took a photo of Rainbow at the butte of Sedona Airport, Arizona (\\\"A burst of color.\\\") \",\n    \"date\":\"2019-04-25 18:56:35-07:00\"\n  },\n  {\n    \"id\":\"photos_274\",\n    \"desc\":\"I took a photo of Rainbow at the butte of Sedona Airport, Arizona (\\\"A burst of color.\\\") \",\n    \"details\":\"I took a photo of Rainbow at the butte of Sedona Airport, Arizona (\\\"A burst of color.\\\") \",\n    \"date\":\"2019-04-25 18:56:37-07:00\"\n  },\n  {\n    \"id\":\"photos_275\",\n    \"desc\":\"I took a photo of Panorama at the valley of Exploring Sedona, AZ (A breathtaking view.) \",\n    \"details\":\"I took a photo of Panorama at the valley of Exploring Sedona, AZ (A breathtaking view.) \",\n    \"date\":\"2019-04-25 19:01:34-07:00\"\n  },\n  {\n    \"id\":\"photos_276\",\n    \"desc\":\"I took a photo of Arizona Cypress at the canyon of Sedona Airport View (\\\"A majestic view.\\\") \",\n    \"details\":\"I took a photo of Arizona Cypress at the canyon of Sedona Airport View (\\\"A majestic view.\\\") \",\n    \"date\":\"2019-04-25 19:08:31-07:00\"\n  },\n  {\n    \"id\":\"photos_277\",\n    \"desc\":\"I took a photo of Panorama at the canyon of Sedona Airport View (Exploring the beauty of nature.) \",\n    \"details\":\"I took a photo of Panorama at the canyon of Sedona Airport View (Exploring the beauty of nature.) \",\n    \"date\":\"2019-04-25 19:08:41-07:00\"\n  },\n  {\n    \"id\":\"photos_278\",\n    \"desc\":\"I took a photo of Arizona Cypress at the butte of Sedona Airport View (\\\"A majestic view of Arizona Cypress in the Butte.\\\") \",\n    \"details\":\"I took a photo of Arizona Cypress at the butte of Sedona Airport View (\\\"A majestic view of Arizona Cypress in the Butte.\\\") \",\n    \"date\":\"2019-04-25 19:08:56-07:00\"\n  },\n  {\n    \"id\":\"photos_279\",\n    \"desc\":\"I took a photo of Smoketree at the patio of \\\"Exploring Sedona, Arizona\\\" (\\\"A peaceful moment in the garden.\\\") \",\n    \"details\":\"I took a photo of Smoketree at the patio of \\\"Exploring Sedona, Arizona\\\" (\\\"A peaceful moment in the garden.\\\") \",\n    \"date\":\"2019-04-26 10:42:14-07:00\"\n  },\n  {\n    \"id\":\"photos_280\",\n    \"desc\":\"I took a photo of Dirt road at the desert road of Exploring Arizona's Western Navajo Agency (\\\"A journey through the desert.\\\") \",\n    \"details\":\"I took a photo of Dirt road at the desert road of Exploring Arizona's Western Navajo Agency (\\\"A journey through the desert.\\\") \",\n    \"date\":\"2019-04-26 15:57:32-06:00\"\n  },\n  {\n    \"id\":\"photos_281\",\n    \"desc\":\"I took a photo of Canyon at the desert road of Exploring Arizona's Western Navajo Agency (Exploring the desert.) \",\n    \"details\":\"I took a photo of Canyon at the desert road of Exploring Arizona's Western Navajo Agency (Exploring the desert.) \",\n    \"date\":\"2019-04-26 15:57:35-06:00\"\n  },\n  {\n    \"id\":\"photos_282\",\n    \"desc\":\"I took a photo of Highway at the desert road of Exploring Arizona's Western Navajo Agency (\\\"A journey through the desert.\\\") \",\n    \"details\":\"I took a photo of Highway at the desert road of Exploring Arizona's Western Navajo Agency (\\\"A journey through the desert.\\\") \",\n    \"date\":\"2019-04-26 15:58:00-06:00\"\n  },\n  {\n    \"id\":\"photos_283\",\n    \"desc\":\"I took a photo of Butte at the butte of Exploring Bitter Springs, Arizona (\\\"A view of Butte from the Butte.\\\") \",\n    \"details\":\"I took a photo of Butte at the butte of Exploring Bitter Springs, Arizona (\\\"A view of Butte from the Butte.\\\") \",\n    \"date\":\"2019-04-26 16:12:26-06:00\"\n  },\n  {\n    \"id\":\"photos_284\",\n    \"desc\":\"I took a photo of Algific talus slope at the butte of Exploring Bitter Springs, Arizona (\\\"A unique landscape.\\\") \",\n    \"details\":\"I took a photo of Algific talus slope at the butte of Exploring Bitter Springs, Arizona (\\\"A unique landscape.\\\") \",\n    \"date\":\"2019-04-26 16:12:25-06:00\"\n  },\n  {\n    \"id\":\"photos_285\",\n    \"desc\":\"I took a photo of Butte at the butte of Exploring Bitter Springs, Arizona (\\\"A view of Butte from the Butte.\\\") \",\n    \"details\":\"I took a photo of Butte at the butte of Exploring Bitter Springs, Arizona (\\\"A view of Butte from the Butte.\\\") \",\n    \"date\":\"2019-04-26 16:12:48-06:00\"\n  },\n  {\n    \"id\":\"photos_286\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-26 23:24:16+00:00\"\n  },\n  {\n    \"id\":\"photos_287\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-26 23:24:21+00:00\"\n  },\n  {\n    \"id\":\"photos_288\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-26 23:25:46+00:00\"\n  },\n  {\n    \"id\":\"photos_289\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-26 22:25:50+00:00\"\n  },\n  {\n    \"id\":\"photos_290\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-26 22:25:49+00:00\"\n  },\n  {\n    \"id\":\"photos_291\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-26 22:25:52+00:00\"\n  },\n  {\n    \"id\":\"photos_292\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-26 22:25:51+00:00\"\n  },\n  {\n    \"id\":\"photos_293\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-26 22:35:51+00:00\"\n  },\n  {\n    \"id\":\"photos_294\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-26 22:46:16+00:00\"\n  },\n  {\n    \"id\":\"photos_295\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-26 22:46:21+00:00\"\n  },\n  {\n    \"id\":\"photos_296\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-26 22:46:24+00:00\"\n  },\n  {\n    \"id\":\"photos_297\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-26 22:47:48+00:00\"\n  },\n  {\n    \"id\":\"photos_298\",\n    \"desc\":\"I took a photo of Estonian hound at the castle  (Exploring the castle.) \",\n    \"details\":\"I took a photo of Estonian hound at the castle  (Exploring the castle.) \",\n    \"date\":\"2019-04-26 22:48:26+00:00\"\n  },\n  {\n    \"id\":\"photos_299\",\n    \"desc\":\"I took a photo of Open-air museum at the outdoor museum  (Exploring history in the open air.) \",\n    \"details\":\"I took a photo of Open-air museum at the outdoor museum  (Exploring history in the open air.) \",\n    \"date\":\"2019-04-26 23:09:12+00:00\"\n  },\n  {\n    \"id\":\"photos_300\",\n    \"desc\":\"I took a photo of Cortado at the coffee shop  (Caffeinated and ready to go.) \",\n    \"details\":\"I took a photo of Cortado at the coffee shop  (Caffeinated and ready to go.) \",\n    \"date\":\"2019-04-26 23:09:13+00:00\"\n  },\n  {\n    \"id\":\"photos_301\",\n    \"desc\":\"I took a photo of Panorama at the harbor of Exploring Lake Powell Resort (Harbor views for days.) \",\n    \"details\":\"I took a photo of Panorama at the harbor of Exploring Lake Powell Resort (Harbor views for days.) \",\n    \"date\":\"2019-04-26 18:04:06-07:00\"\n  },\n  {\n    \"id\":\"photos_302\",\n    \"desc\":\"I took a photo of Dry lake at the butte of Exploring Lake Powell Resort (\\\"A tranquil desert oasis.\\\") \",\n    \"details\":\"I took a photo of Dry lake at the butte of Exploring Lake Powell Resort (\\\"A tranquil desert oasis.\\\") \",\n    \"date\":\"2019-04-27 08:00:20-07:00\"\n  },\n  {\n    \"id\":\"photos_303\",\n    \"desc\":\"I took a photo of Web page at the canyon  (Exploring the Grand Canyon.) \",\n    \"details\":\"I took a photo of Web page at the canyon  (Exploring the Grand Canyon.) \",\n    \"date\":\"2019-04-27 15:32:17+00:00\"\n  },\n  {\n    \"id\":\"photos_304\",\n    \"desc\":\"I took a photo of Dry lake at the campsite of Exploring Lake Powell Resort (\\\"A peaceful oasis in the desert.\\\") \",\n    \"details\":\"I took a photo of Dry lake at the campsite of Exploring Lake Powell Resort (\\\"A peaceful oasis in the desert.\\\") \",\n    \"date\":\"2019-04-27 09:03:39-07:00\"\n  },\n  {\n    \"id\":\"photos_305\",\n    \"desc\":\"I took a photo of Dry lake at the swimming hole of Exploring Lake Powell Resort (\\\"A peaceful oasis.\\\") \",\n    \"details\":\"I took a photo of Dry lake at the swimming hole of Exploring Lake Powell Resort (\\\"A peaceful oasis.\\\") \",\n    \"date\":\"2019-04-27 09:38:35-07:00\"\n  },\n  {\n    \"id\":\"photos_306\",\n    \"desc\":\"I took a photo of Dry lake at the swimming hole of Exploring Wahweap's Navajo Viewpoint (\\\"A peaceful oasis.\\\") \",\n    \"details\":\"I took a photo of Dry lake at the swimming hole of Exploring Wahweap's Navajo Viewpoint (\\\"A peaceful oasis.\\\") \",\n    \"date\":\"2019-04-27 10:38:44-07:00\"\n  },\n  {\n    \"id\":\"photos_307\",\n    \"desc\":\"I took a photo of Cinder cone at the vegetation desert of Exploring Garfield County, Utah (\\\"A lonely cinder cone in the desert.\\\") \",\n    \"details\":\"I took a photo of Cinder cone at the vegetation desert of Exploring Garfield County, Utah (\\\"A lonely cinder cone in the desert.\\\") \",\n    \"date\":\"2019-04-27 15:47:52-06:00\"\n  },\n  {\n    \"id\":\"photos_308\",\n    \"desc\":\"I took a photo of Cinder cone at the canyon of Exploring Garfield County, Utah (\\\"Awe-inspiring view.\\\") \",\n    \"details\":\"I took a photo of Cinder cone at the canyon of Exploring Garfield County, Utah (\\\"Awe-inspiring view.\\\") \",\n    \"date\":\"2019-04-27 15:48:04-06:00\"\n  },\n  {\n    \"id\":\"photos_309\",\n    \"desc\":\"I took a photo of Window at the indoor bow window of Tropic, Utah (\\\"A view of the outdoors.\\\") \",\n    \"details\":\"I took a photo of Window at the indoor bow window of Tropic, Utah (\\\"A view of the outdoors.\\\") \",\n    \"date\":\"2019-04-27 16:17:22-06:00\"\n  },\n  {\n    \"id\":\"photos_310\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Utah's Rim Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Utah's Rim Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-27 17:45:04-06:00\"\n  },\n  {\n    \"id\":\"photos_311\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Utah's Rim Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Utah's Rim Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-27 18:00:27-06:00\"\n  },\n  {\n    \"id\":\"photos_312\",\n    \"desc\":\"I took a photo of Cinder cone at the canyon of Exploring Utah's Rim Trail (\\\"Awe-inspiring view.\\\") \",\n    \"details\":\"I took a photo of Cinder cone at the canyon of Exploring Utah's Rim Trail (\\\"Awe-inspiring view.\\\") \",\n    \"date\":\"2019-04-27 18:05:34-06:00\"\n  },\n  {\n    \"id\":\"photos_313\",\n    \"desc\":\"I took a photo of Shortstraw pine at the canyon of Exploring Utah's Queen's Garden Trail (\\\"A peaceful escape.\\\") \",\n    \"details\":\"I took a photo of Shortstraw pine at the canyon of Exploring Utah's Queen's Garden Trail (\\\"A peaceful escape.\\\") \",\n    \"date\":\"2019-04-27 18:14:23-06:00\"\n  },\n  {\n    \"id\":\"photos_314\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-27 18:20:03-06:00\"\n  },\n  {\n    \"id\":\"photos_315\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-27 18:20:12-06:00\"\n  },\n  {\n    \"id\":\"photos_316\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-27 18:27:33-06:00\"\n  },\n  {\n    \"id\":\"photos_317\",\n    \"desc\":\"I took a photo of American larch at the canyon of Exploring Utah's Queen's Garden Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of American larch at the canyon of Exploring Utah's Queen's Garden Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-27 18:34:01-06:00\"\n  },\n  {\n    \"id\":\"photos_318\",\n    \"desc\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon  (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-28 01:43:08+00:00\"\n  },\n  {\n    \"id\":\"photos_319\",\n    \"desc\":\"I took a photo of Kaibab Squirrel at the watering hole of Tropic, Utah (\\\"Taking a break.\\\") \",\n    \"details\":\"I took a photo of Kaibab Squirrel at the watering hole of Tropic, Utah (\\\"Taking a break.\\\") \",\n    \"date\":\"2019-04-27 18:43:44-06:00\"\n  },\n  {\n    \"id\":\"photos_320\",\n    \"desc\":\"I took a photo of Organ Mountains Chipmunk at the watering hole of Tropic, Utah (\\\"Taking a break.\\\") \",\n    \"details\":\"I took a photo of Organ Mountains Chipmunk at the watering hole of Tropic, Utah (\\\"Taking a break.\\\") \",\n    \"date\":\"2019-04-27 18:43:48-06:00\"\n  },\n  {\n    \"id\":\"photos_321\",\n    \"desc\":\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"details\":\"I took a photo of Canyon at the canyon of Exploring Utah's Queen's Garden Trail (\\\"Awe-inspiring beauty.\\\") \",\n    \"date\":\"2019-04-27 18:50:14-06:00\"\n  },\n  {\n    \"id\":\"photos_322\",\n    \"desc\":\"I took a photo of Outcrop at the cliff of Exploring Utah's Queen's Garden Trail (\\\"A rocky outcrop in the cliff face.\\\") \",\n    \"details\":\"I took a photo of Outcrop at the cliff of Exploring Utah's Queen's Garden Trail (\\\"A rocky outcrop in the cliff face.\\\") \",\n    \"date\":\"2019-04-27 19:13:37-06:00\"\n  },\n  {\n    \"id\":\"photos_323\",\n    \"desc\":\"I took a photo of Cinder cone at the canyon of Exploring Utah's Rim Trail (\\\"Awe-inspiring view.\\\") \",\n    \"details\":\"I took a photo of Cinder cone at the canyon of Exploring Utah's Rim Trail (\\\"Awe-inspiring view.\\\") \",\n    \"date\":\"2019-04-27 19:34:15-06:00\"\n  },\n  {\n    \"id\":\"photos_324\",\n    \"desc\":\"I took a photo of Single-origin coffee at the coffee shop of \\\"Texas Home on Greg Street\\\" (\\\"Freshly brewed.\\\") \",\n    \"details\":\"I took a photo of Single-origin coffee at the coffee shop of \\\"Texas Home on Greg Street\\\" (\\\"Freshly brewed.\\\") \",\n    \"date\":\"2019-04-29 11:49:07-07:00\"\n  },\n  {\n    \"id\":\"places_27028\",\n    \"desc\":\"I have been to Exploring Lamb County, TX\",\n    \"details\":\"I have been to Exploring Lamb County, TX\",\n    \"date\":\"2019-04-27 17:28:58-07:00\"\n  },\n  {\n    \"id\":\"places_27172\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-03-03 07:41:47-08:00\"\n  },\n  {\n    \"id\":\"places_27173\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-03-03 07:42:11-08:00\"\n  },\n  {\n    \"id\":\"places_27174\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-03-03 07:42:35-08:00\"\n  },\n  {\n    \"id\":\"places_27175\",\n    \"desc\":\"I have been to \\\"Throwbacks Sports Bar: Amarillo's Best!\\\"\",\n    \"details\":\"I have been to \\\"Throwbacks Sports Bar: Amarillo's Best!\\\"\",\n    \"date\":\"2019-03-05 18:13:01-08:00\"\n  },\n  {\n    \"id\":\"places_27176\",\n    \"desc\":\"I have been to \\\"Throwbacks Sports Bar: Amarillo's Best!\\\"\",\n    \"details\":\"I have been to \\\"Throwbacks Sports Bar: Amarillo's Best!\\\"\",\n    \"date\":\"2019-03-05 18:13:04-08:00\"\n  },\n  {\n    \"id\":\"places_27177\",\n    \"desc\":\"I have been to Biking in Randall County, Texas\",\n    \"details\":\"I have been to Biking in Randall County, Texas\",\n    \"date\":\"2019-03-05 19:31:46-08:00\"\n  },\n  {\n    \"id\":\"places_27178\",\n    \"desc\":\"I have been to Biking in Randall County, Texas\",\n    \"details\":\"I have been to Biking in Randall County, Texas\",\n    \"date\":\"2019-03-05 19:31:47-08:00\"\n  },\n  {\n    \"id\":\"places_27179\",\n    \"desc\":\"I have been to Biking in Randall County, Texas\",\n    \"details\":\"I have been to Biking in Randall County, Texas\",\n    \"date\":\"2019-03-05 19:36:00-08:00\"\n  },\n  {\n    \"id\":\"places_27180\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-03-06 19:46:40-08:00\"\n  },\n  {\n    \"id\":\"places_27181\",\n    \"desc\":\"I have been to Amarillo, Texas\",\n    \"details\":\"I have been to Amarillo, Texas\",\n    \"date\":\"2019-03-07 19:17:33-08:00\"\n  },\n  {\n    \"id\":\"places_27182\",\n    \"desc\":\"I have been to Randall County, Texas\",\n    \"details\":\"I have been to Randall County, Texas\",\n    \"date\":\"2019-03-10 17:42:28-07:00\"\n  },\n  {\n    \"id\":\"places_27183\",\n    \"desc\":\"I have been to Randall County, Texas\",\n    \"details\":\"I have been to Randall County, Texas\",\n    \"date\":\"2019-03-10 17:42:30-07:00\"\n  },\n  {\n    \"id\":\"places_27184\",\n    \"desc\":\"I have been to Randall County, Texas\",\n    \"details\":\"I have been to Randall County, Texas\",\n    \"date\":\"2019-03-10 17:42:31-07:00\"\n  },\n  {\n    \"id\":\"places_27185\",\n    \"desc\":\"I have been to Randall County, Texas\",\n    \"details\":\"I have been to Randall County, Texas\",\n    \"date\":\"2019-03-10 17:42:32-07:00\"\n  },\n  {\n    \"id\":\"places_27186\",\n    \"desc\":\"I have been to Randall County, Texas\",\n    \"details\":\"I have been to Randall County, Texas\",\n    \"date\":\"2019-03-10 17:46:32-07:00\"\n  },\n  {\n    \"id\":\"places_27187\",\n    \"desc\":\"I have been to Randall County, Texas\",\n    \"details\":\"I have been to Randall County, Texas\",\n    \"date\":\"2019-03-10 17:46:34-07:00\"\n  },\n  {\n    \"id\":\"places_27188\",\n    \"desc\":\"I have been to Randall County, Texas\",\n    \"details\":\"I have been to Randall County, Texas\",\n    \"date\":\"2019-03-10 17:47:15-07:00\"\n  },\n  {\n    \"id\":\"places_27189\",\n    \"desc\":\"I have been to Randall County, Texas\",\n    \"details\":\"I have been to Randall County, Texas\",\n    \"date\":\"2019-03-10 17:47:16-07:00\"\n  },\n  {\n    \"id\":\"places_27190\",\n    \"desc\":\"I have been to Randall County, Texas\",\n    \"details\":\"I have been to Randall County, Texas\",\n    \"date\":\"2019-03-10 17:47:17-07:00\"\n  },\n  {\n    \"id\":\"places_27193\",\n    \"desc\":\"I have been to \\\"Exploring Randall County, Texas\\\"\",\n    \"details\":\"I have been to \\\"Exploring Randall County, Texas\\\"\",\n    \"date\":\"2019-03-17 12:59:42-07:00\"\n  },\n  {\n    \"id\":\"places_27194\",\n    \"desc\":\"I have been to Helium Road, Texas\",\n    \"details\":\"I have been to Helium Road, Texas\",\n    \"date\":\"2019-03-18 09:20:41-07:00\"\n  },\n  {\n    \"id\":\"places_27195\",\n    \"desc\":\"I have been to Helium Road, Texas\",\n    \"details\":\"I have been to Helium Road, Texas\",\n    \"date\":\"2019-03-18 09:31:03-07:00\"\n  },\n  {\n    \"id\":\"places_27196\",\n    \"desc\":\"I have been to Helium Road, Texas\",\n    \"details\":\"I have been to Helium Road, Texas\",\n    \"date\":\"2019-03-18 10:43:51-07:00\"\n  },\n  {\n    \"id\":\"places_27197\",\n    \"desc\":\"I have been to Helium Road, Texas\",\n    \"details\":\"I have been to Helium Road, Texas\",\n    \"date\":\"2019-03-18 10:44:49-07:00\"\n  },\n  {\n    \"id\":\"places_27198\",\n    \"desc\":\"I have been to Helium Road, Texas\",\n    \"details\":\"I have been to Helium Road, Texas\",\n    \"date\":\"2019-03-18 10:46:41-07:00\"\n  },\n  {\n    \"id\":\"places_27199\",\n    \"desc\":\"I have been to Helium Road, Texas\",\n    \"details\":\"I have been to Helium Road, Texas\",\n    \"date\":\"2019-03-18 13:00:08-07:00\"\n  },\n  {\n    \"id\":\"places_27200\",\n    \"desc\":\"I have been to Helium Road, Texas\",\n    \"details\":\"I have been to Helium Road, Texas\",\n    \"date\":\"2019-03-18 13:12:49-07:00\"\n  },\n  {\n    \"id\":\"places_27201\",\n    \"desc\":\"I have been to Helium Road, Texas\",\n    \"details\":\"I have been to Helium Road, Texas\",\n    \"date\":\"2019-03-18 15:52:33-07:00\"\n  },\n  {\n    \"id\":\"places_27202\",\n    \"desc\":\"I have been to Helium Road, Texas\",\n    \"details\":\"I have been to Helium Road, Texas\",\n    \"date\":\"2019-03-18 16:05:51-07:00\"\n  },\n  {\n    \"id\":\"places_27203\",\n    \"desc\":\"I have been to Helium Road, Texas\",\n    \"details\":\"I have been to Helium Road, Texas\",\n    \"date\":\"2019-03-18 17:02:12-07:00\"\n  },\n  {\n    \"id\":\"places_27204\",\n    \"desc\":\"I have been to Helium Road, Texas\",\n    \"details\":\"I have been to Helium Road, Texas\",\n    \"date\":\"2019-03-18 17:02:21-07:00\"\n  },\n  {\n    \"id\":\"places_27205\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg 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09:36:12-07:00\"\n  },\n  {\n    \"id\":\"places_27210\",\n    \"desc\":\"I have been to Charlie's Furniture Amarillo\",\n    \"details\":\"I have been to Charlie's Furniture Amarillo\",\n    \"date\":\"2019-03-23 20:50:05-07:00\"\n  },\n  {\n    \"id\":\"places_27211\",\n    \"desc\":\"I have been to Exploring Seoul National University\",\n    \"details\":\"I have been to Exploring Seoul National University\",\n    \"date\":\"2019-03-27 11:42:43+09:00\"\n  },\n  {\n    \"id\":\"places_27212\",\n    \"desc\":\"I have been to Exploring Seoul National University\",\n    \"details\":\"I have been to Exploring Seoul National University\",\n    \"date\":\"2019-03-27 11:42:50+09:00\"\n  },\n  {\n    \"id\":\"places_27213\",\n    \"desc\":\"I have been to Exploring Seoul National University\",\n    \"details\":\"I have been to Exploring Seoul National University\",\n    \"date\":\"2019-03-27 13:45:36+09:00\"\n  },\n  {\n    \"id\":\"places_27214\",\n    \"desc\":\"I have been to Exploring Seoul National University\",\n    \"details\":\"I have been to Exploring Seoul National University\",\n    \"date\":\"2019-03-27 13:45:47+09:00\"\n  },\n  {\n    \"id\":\"places_27215\",\n    \"desc\":\"I have been to Exploring Seoul National University\",\n    \"details\":\"I have been to Exploring Seoul National University\",\n    \"date\":\"2019-03-27 13:45:47+09:00\"\n  },\n  {\n    \"id\":\"places_27216\",\n    \"desc\":\"I have been to Yangpyeong-ro 28da-gil, Seoul\",\n    \"details\":\"I have been to Yangpyeong-ro 28da-gil, Seoul\",\n    \"date\":\"2019-03-27 15:47:16+09:00\"\n  },\n  {\n    \"id\":\"places_27217\",\n    \"desc\":\"I have been to Yangpyeong-ro 28da-gil, Seoul\",\n    \"details\":\"I have been to Yangpyeong-ro 28da-gil, Seoul\",\n    \"date\":\"2019-03-27 15:47:22+09:00\"\n  },\n  {\n    \"id\":\"places_27218\",\n    \"desc\":\"I have been to Yangpyeong-ro 28da-gil, Seoul\",\n    \"details\":\"I have been to Yangpyeong-ro 28da-gil, Seoul\",\n    \"date\":\"2019-03-27 15:47:29+09:00\"\n  },\n  {\n    \"id\":\"places_27220\",\n    \"desc\":\"I have been to Exploring Seoul's Seocho-gu\",\n    \"details\":\"I have been to Exploring Seoul's Seocho-gu\",\n    \"date\":\"2019-03-27 18:36:03+09:00\"\n  },\n  {\n    \"id\":\"places_27221\",\n    \"desc\":\"I have been to Incheon Int'l Airport Terminal 1\",\n    \"details\":\"I have been to Incheon Int'l Airport Terminal 1\",\n    \"date\":\"2019-03-28 06:38:09+09:00\"\n  },\n  {\n    \"id\":\"places_27223\",\n    \"desc\":\"I have been to Roppongi's Asahi Shokudo\",\n    \"details\":\"I have been to Roppongi's Asahi Shokudo\",\n    \"date\":\"2019-03-28 20:38:13+09:00\"\n  },\n  {\n    \"id\":\"places_27224\",\n    \"desc\":\"I have been to Roppongi's Asahi Shokudo\",\n    \"details\":\"I have been to Roppongi's Asahi Shokudo\",\n    \"date\":\"2019-03-28 20:47:46+09:00\"\n  },\n  {\n    \"id\":\"places_27225\",\n    \"desc\":\"I have been to Roppongi's Asahi Shokudo\",\n    \"details\":\"I have been to Roppongi's Asahi Shokudo\",\n    \"date\":\"2019-03-28 21:36:34+09:00\"\n  },\n  {\n    \"id\":\"places_27226\",\n    \"desc\":\"I have been to Roppongi's Asahi Shokudo\",\n    \"details\":\"I have been to Roppongi's Asahi Shokudo\",\n    \"date\":\"2019-03-28 23:25:42+09:00\"\n  },\n  {\n    \"id\":\"places_27227\",\n    \"desc\":\"I have been to Roppongi's Asahi Shokudo\",\n    \"details\":\"I have been to Roppongi's Asahi Shokudo\",\n    \"date\":\"2019-03-28 23:25:52+09:00\"\n  },\n  {\n    \"id\":\"places_27228\",\n    \"desc\":\"I have been to Grand Hyatt Tokyo\",\n    \"details\":\"I have been to Grand Hyatt Tokyo\",\n    \"date\":\"2019-03-29 09:12:12+09:00\"\n  },\n  {\n    \"id\":\"places_27229\",\n    \"desc\":\"I have been to Moto-Azabu, Tokyo\",\n    \"details\":\"I have been to Moto-Azabu, Tokyo\",\n    \"date\":\"2019-03-29 10:08:09+09:00\"\n  },\n  {\n    \"id\":\"places_27230\",\n    \"desc\":\"I have been to Aiiku Hospital in Tokyo\",\n    \"details\":\"I have been to Aiiku Hospital in Tokyo\",\n    \"date\":\"2019-03-29 10:13:09+09:00\"\n  },\n  {\n    \"id\":\"places_27231\",\n    \"desc\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"details\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"date\":\"2019-03-29 10:53:41+09:00\"\n  },\n  {\n    \"id\":\"places_27232\",\n    \"desc\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"details\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"date\":\"2019-03-29 10:54:16+09:00\"\n  },\n  {\n    \"id\":\"places_27233\",\n    \"desc\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"details\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"date\":\"2019-03-29 10:54:15+09:00\"\n  },\n  {\n    \"id\":\"places_27234\",\n    \"desc\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"details\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"date\":\"2019-03-29 10:54:51+09:00\"\n  },\n  {\n    \"id\":\"places_27235\",\n    \"desc\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"details\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"date\":\"2019-03-29 10:54:59+09:00\"\n  },\n  {\n    \"id\":\"places_27236\",\n    \"desc\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"details\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"date\":\"2019-03-29 10:56:04+09:00\"\n  },\n  {\n    \"id\":\"places_27237\",\n    \"desc\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"details\":\"I have been to Exploring Naka-Meguro, Tokyo\",\n    \"date\":\"2019-03-29 10:56:37+09:00\"\n  },\n  {\n    \"id\":\"places_27238\",\n    \"desc\":\"I have been to University of Tokyo, Tokyo\",\n    \"details\":\"I have been to University of Tokyo, Tokyo\",\n    \"date\":\"2019-03-29 12:28:58+09:00\"\n  },\n  {\n    \"id\":\"places_27239\",\n    \"desc\":\"I have been to University of Tokyo, Tokyo\",\n    \"details\":\"I have been to University of Tokyo, Tokyo\",\n    \"date\":\"2019-03-29 13:04:14+09:00\"\n  },\n  {\n    \"id\":\"places_27240\",\n    \"desc\":\"I have been to University of Tokyo, Tokyo\",\n    \"details\":\"I have been to University of Tokyo, Tokyo\",\n    \"date\":\"2019-03-29 13:04:17+09:00\"\n  },\n  {\n    \"id\":\"places_27241\",\n    \"desc\":\"I have been to Tokyo's Shibadaimon\",\n    \"details\":\"I have been to Tokyo's Shibadaimon\",\n    \"date\":\"2019-03-29 16:15:45+09:00\"\n  },\n  {\n    \"id\":\"places_27242\",\n    \"desc\":\"I have been to Tokyo's Shibakoen\",\n    \"details\":\"I have been to Tokyo's Shibakoen\",\n    \"date\":\"2019-03-29 16:23:59+09:00\"\n  },\n  {\n    \"id\":\"places_27243\",\n    \"desc\":\"I have been to Tokyo's Shibakoen\",\n    \"details\":\"I have been to Tokyo's Shibakoen\",\n    \"date\":\"2019-03-29 16:24:02+09:00\"\n  },\n  {\n    \"id\":\"places_27244\",\n    \"desc\":\"I have been to Tokyo's Shibakoen\",\n    \"details\":\"I have been to Tokyo's Shibakoen\",\n    \"date\":\"2019-03-29 16:24:07+09:00\"\n 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\"date\":\"2019-03-29 18:25:24+09:00\"\n  },\n  {\n    \"id\":\"places_27250\",\n    \"desc\":\"I have been to Exploring Roppongi Hills\",\n    \"details\":\"I have been to Exploring Roppongi Hills\",\n    \"date\":\"2019-03-29 18:26:53+09:00\"\n  },\n  {\n    \"id\":\"places_27251\",\n    \"desc\":\"I have been to Exploring Roppongi Hills\",\n    \"details\":\"I have been to Exploring Roppongi Hills\",\n    \"date\":\"2019-03-29 18:27:16+09:00\"\n  },\n  {\n    \"id\":\"places_27252\",\n    \"desc\":\"I have been to Exploring Roppongi Hills, Tokyo\",\n    \"details\":\"I have been to Exploring Roppongi Hills, Tokyo\",\n    \"date\":\"2019-03-29 19:20:53+09:00\"\n  },\n  {\n    \"id\":\"places_27253\",\n    \"desc\":\"I have been to Exploring Roppongi Hills, Tokyo\",\n    \"details\":\"I have been to Exploring Roppongi Hills, Tokyo\",\n    \"date\":\"2019-03-29 21:28:05+09:00\"\n  },\n  {\n    \"id\":\"places_27254\",\n    \"desc\":\"I have been to Narita, Japan\",\n    \"details\":\"I have been to Narita, Japan\",\n    \"date\":\"2019-03-30 14:15:37+09:00\"\n  },\n  {\n    \"id\":\"places_27255\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-03-31 10:51:04+08:00\"\n  },\n  {\n    \"id\":\"places_27256\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-03-31 10:51:41+08:00\"\n  },\n  {\n    \"id\":\"places_27257\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-03-31 11:17:52+08:00\"\n  },\n  {\n    \"id\":\"places_27258\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-03-31 11:17:57+08:00\"\n  },\n  {\n    \"id\":\"places_27259\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-03-31 11:23:27+08:00\"\n  },\n  {\n    \"id\":\"places_27260\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-03-31 11:29:26+08:00\"\n  },\n  {\n    \"id\":\"places_27261\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-03-31 11:29:35+08:00\"\n  },\n  {\n    \"id\":\"places_27262\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-03-31 11:46:18+08:00\"\n  },\n  {\n    \"id\":\"places_27263\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-03-31 11:46:22+08:00\"\n  },\n  {\n    \"id\":\"places_27264\",\n    \"desc\":\"I have been to Exploring Eslite XinYi Store\",\n    \"details\":\"I have been to Exploring Eslite XinYi Store\",\n    \"date\":\"2019-03-31 13:38:53+08:00\"\n  },\n  {\n    \"id\":\"places_27265\",\n    \"desc\":\"I have been to Exploring Eslite XinYi Store\",\n    \"details\":\"I have been to Exploring Eslite XinYi Store\",\n    \"date\":\"2019-03-31 13:38:56+08:00\"\n  },\n  {\n    \"id\":\"places_27266\",\n    \"desc\":\"I have been to Exploring Taipei City Hall\",\n    \"details\":\"I have been to Exploring Taipei City Hall\",\n    \"date\":\"2019-03-31 14:02:19+08:00\"\n  },\n  {\n    \"id\":\"places_27267\",\n    \"desc\":\"I have been to Exploring Xinglong Village, Taiwan\",\n    \"details\":\"I have been to Exploring Xinglong Village, Taiwan\",\n    \"date\":\"2019-03-31 14:07:01+08:00\"\n  },\n  {\n    \"id\":\"places_27268\",\n    \"desc\":\"I have been to Exploring Xinglong Village, Taiwan\",\n    \"details\":\"I have been to Exploring Xinglong Village, Taiwan\",\n    \"date\":\"2019-03-31 14:08:35+08:00\"\n  },\n  {\n    \"id\":\"places_27269\",\n    \"desc\":\"I have been to \\\"Exploring Sun Yat-sen Memorial Hall\\\"\",\n    \"details\":\"I have been to \\\"Exploring Sun Yat-sen Memorial Hall\\\"\",\n    \"date\":\"2019-03-31 14:11:10+08:00\"\n  },\n  {\n    \"id\":\"places_27270\",\n    \"desc\":\"I have been to Bigtom\\u7f8e\\u570b\\u51b0\\u6dc7\\u6dcb\\u5496\\u5561\\u9928 in Chezeng, Taipei\",\n    \"details\":\"I have been to Bigtom\\u7f8e\\u570b\\u51b0\\u6dc7\\u6dcb\\u5496\\u5561\\u9928 in Chezeng, Taipei\",\n    \"date\":\"2019-03-31 14:25:17+08:00\"\n  },\n  {\n    \"id\":\"places_27271\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-04-01 11:46:03+08:00\"\n  },\n  {\n    \"id\":\"places_27272\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-04-01 11:46:13+08:00\"\n  },\n  {\n    \"id\":\"places_27273\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-04-01 11:46:18+08:00\"\n  },\n  {\n    \"id\":\"places_27274\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-04-01 11:50:40+08:00\"\n  },\n  {\n    \"id\":\"places_27275\",\n    \"desc\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"details\":\"I have been to Cama Cafe in Huashan, Taipei\",\n    \"date\":\"2019-04-01 13:05:56+08:00\"\n  },\n  {\n    \"id\":\"places_27276\",\n    \"desc\":\"I have been to Taipei's KuanHua Market\",\n    \"details\":\"I have been to Taipei's KuanHua Market\",\n    \"date\":\"2019-04-01 13:10:47+08:00\"\n  },\n  {\n    \"id\":\"places_27277\",\n    \"desc\":\"I have been to Exploring Chiang Kai-shek Memorial Hall\",\n    \"details\":\"I have been to Exploring Chiang Kai-shek Memorial Hall\",\n    \"date\":\"2019-04-01 14:08:24+08:00\"\n  },\n  {\n    \"id\":\"places_27278\",\n    \"desc\":\"I have been to Exploring Chiang Kai-shek Memorial Hall\",\n    \"details\":\"I have been to Exploring Chiang Kai-shek Memorial Hall\",\n    \"date\":\"2019-04-01 14:09:49+08:00\"\n  },\n  {\n    \"id\":\"places_27279\",\n    \"desc\":\"I have been to Taipei's Democracy Boulevard\",\n    \"details\":\"I have been to Taipei's Democracy Boulevard\",\n    \"date\":\"2019-04-01 14:09:52+08:00\"\n  },\n  {\n    \"id\":\"places_27280\",\n    \"desc\":\"I have been to Exploring Chiang Kai-shek Memorial Hall\",\n    \"details\":\"I have been to Exploring Chiang Kai-shek Memorial Hall\",\n    \"date\":\"2019-04-01 14:12:25+08:00\"\n  },\n  {\n    \"id\":\"places_27281\",\n    \"desc\":\"I have been to Exploring Longtsakoo, Taiwan\",\n    \"details\":\"I have been to Exploring Longtsakoo, Taiwan\",\n    \"date\":\"2019-04-01 14:13:29+08:00\"\n  },\n  {\n    \"id\":\"places_27282\",\n    \"desc\":\"I have been to Exploring Chiang Kai-shek Memorial Hall\",\n    \"details\":\"I have been to Exploring Chiang Kai-shek Memorial Hall\",\n    \"date\":\"2019-04-01 14:19:18+08:00\"\n  },\n  {\n    \"id\":\"places_27283\",\n    \"desc\":\"I have been to Exploring Longtsakoo, Taipei\",\n    \"details\":\"I have been to Exploring Longtsakoo, Taipei\",\n    \"date\":\"2019-04-01 14:32:33+08:00\"\n  },\n  {\n    \"id\":\"places_27284\",\n    \"desc\":\"I have been to Exploring Longtsakoo, Taiwan\",\n    \"details\":\"I have been to Exploring Longtsakoo, Taiwan\",\n    \"date\":\"2019-04-01 14:32:43+08:00\"\n  },\n  {\n    \"id\":\"places_27285\",\n    \"desc\":\"I have been to Taipei's Liberty Square\",\n    \"details\":\"I have been to Taipei's Liberty Square\",\n    \"date\":\"2019-04-01 14:34:37+08:00\"\n  },\n  {\n    \"id\":\"places_27286\",\n    \"desc\":\"I have been to Photographing Platform in Taipei\",\n    \"details\":\"I have been to Photographing Platform in Taipei\",\n    \"date\":\"2019-04-01 18:04:00+08:00\"\n  },\n  {\n    \"id\":\"places_27287\",\n    \"desc\":\"I have been to Exploring Sanli Village, Taipei\",\n    \"details\":\"I have been to Exploring Sanli Village, Taipei\",\n    \"date\":\"2019-04-01 18:10:42+08:00\"\n  },\n  {\n    \"id\":\"places_27288\",\n    \"desc\":\"I have been to Exploring Liuhe Village Trail\",\n    \"details\":\"I have been to Exploring Liuhe Village Trail\",\n    \"date\":\"2019-04-01 18:16:02+08:00\"\n  },\n  {\n    \"id\":\"places_27289\",\n    \"desc\":\"I have been to Exploring Taipei: \\u6885\\u82b1\\u7403\\u5834\",\n    \"details\":\"I have been to Exploring Taipei: \\u6885\\u82b1\\u7403\\u5834\",\n    \"date\":\"2019-04-01 18:16:44+08:00\"\n  },\n  {\n    \"id\":\"places_27290\",\n    \"desc\":\"I have been to Exploring Xiangshan Tunnel\",\n    \"details\":\"I have been to 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\"id\":\"places_27295\",\n    \"desc\":\"I have been to Exploring Sanli Village, Taipei\",\n    \"details\":\"I have been to Exploring Sanli Village, Taipei\",\n    \"date\":\"2019-04-01 18:28:24+08:00\"\n  },\n  {\n    \"id\":\"places_27296\",\n    \"desc\":\"I have been to Exploring Sanli Village, Taipei\",\n    \"details\":\"I have been to Exploring Sanli Village, Taipei\",\n    \"date\":\"2019-04-01 18:30:30+08:00\"\n  },\n  {\n    \"id\":\"places_27297\",\n    \"desc\":\"I have been to Exploring Sanli Village, Taipei\",\n    \"details\":\"I have been to Exploring Sanli Village, Taipei\",\n    \"date\":\"2019-04-01 18:30:38+08:00\"\n  },\n  {\n    \"id\":\"places_27298\",\n    \"desc\":\"I have been to Exploring Sanli Village, Taipei\",\n    \"details\":\"I have been to Exploring Sanli Village, Taipei\",\n    \"date\":\"2019-04-01 18:30:50+08:00\"\n  },\n  {\n    \"id\":\"places_27299\",\n    \"desc\":\"I have been to Exploring Sanli Village, Taipei\",\n    \"details\":\"I have 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\"date\":\"2019-04-06 12:17:32-07:00\"\n  },\n  {\n    \"id\":\"places_27317\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-04-06 12:17:40-07:00\"\n  },\n  {\n    \"id\":\"places_27318\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-04-10 15:59:42-07:00\"\n  },\n  {\n    \"id\":\"places_27319\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-04-10 15:59:41-07:00\"\n  },\n  {\n    \"id\":\"places_27320\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-04-11 16:03:08-07:00\"\n  },\n  {\n    \"id\":\"places_27321\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-04-11 17:50:51-07:00\"\n  },\n  {\n    \"id\":\"places_27322\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-04-11 17:50:53-07:00\"\n  },\n  {\n    \"id\":\"places_27323\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-04-11 17:51:04-07:00\"\n  },\n  {\n    \"id\":\"places_27324\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-04-11 17:51:03-07:00\"\n  },\n  {\n    \"id\":\"places_27325\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg 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\"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-04-14 08:23:14-07:00\"\n  },\n  {\n    \"id\":\"places_27331\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-04-14 11:09:42-07:00\"\n  },\n  {\n    \"id\":\"places_27332\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-04-14 11:09:56-07:00\"\n  },\n  {\n    \"id\":\"places_27333\",\n    \"desc\":\"I have been to Vancouver's Canada Place\",\n    \"details\":\"I have been to Vancouver's Canada Place\",\n    \"date\":\"2019-04-14 19:19:06-07:00\"\n  },\n  {\n    \"id\":\"places_27334\",\n    \"desc\":\"I have been to Vancouver's Canada Place\",\n    \"details\":\"I have been to Vancouver's Canada Place\",\n    \"date\":\"2019-04-14 19:28:23-07:00\"\n  },\n  {\n    \"id\":\"places_27335\",\n    \"desc\":\"I have been to Exploring Gastown, Vancouver\",\n    \"details\":\"I have been to Exploring Gastown, Vancouver\",\n    \"date\":\"2019-04-14 20:40:40-07:00\"\n  },\n  {\n    \"id\":\"places_27336\",\n    \"desc\":\"I have been to Vancouver's Canada Place\",\n    \"details\":\"I have been to Vancouver's Canada Place\",\n    \"date\":\"2019-04-15 08:03:01-07:00\"\n  },\n  {\n    \"id\":\"places_27337\",\n    \"desc\":\"I have been to Vancouver's Canada Place\",\n    \"details\":\"I have been to Vancouver's Canada Place\",\n    \"date\":\"2019-04-15 08:03:20-07:00\"\n  },\n  {\n    \"id\":\"places_27338\",\n    \"desc\":\"I have been to Vancouver's Canada Place\",\n    \"details\":\"I have been to Vancouver's Canada Place\",\n    \"date\":\"2019-04-15 12:16:09-07:00\"\n  },\n  {\n    \"id\":\"places_27339\",\n    \"desc\":\"I have been to Luxury in Gastown, Vancouver\",\n    \"details\":\"I have 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\"date\":\"2019-04-15 14:20:02-07:00\"\n  },\n  {\n    \"id\":\"places_27349\",\n    \"desc\":\"I have been to Vancouver Convention Centre West\",\n    \"details\":\"I have been to Vancouver Convention Centre West\",\n    \"date\":\"2019-04-15 14:20:03-07:00\"\n  },\n  {\n    \"id\":\"places_27350\",\n    \"desc\":\"I have been to Vancouver Convention Centre West\",\n    \"details\":\"I have been to Vancouver Convention Centre West\",\n    \"date\":\"2019-04-15 14:20:07-07:00\"\n  },\n  {\n    \"id\":\"places_27351\",\n    \"desc\":\"I have been to Vancouver Convention Centre West\",\n    \"details\":\"I have been to Vancouver Convention Centre West\",\n    \"date\":\"2019-04-15 14:20:07-07:00\"\n  },\n  {\n    \"id\":\"places_27352\",\n    \"desc\":\"I have been to Vancouver Convention Centre West\",\n    \"details\":\"I have been to Vancouver Convention Centre West\",\n    \"date\":\"2019-04-15 14:20:08-07:00\"\n  },\n  {\n    \"id\":\"places_27353\",\n    \"desc\":\"I have been to 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\"date\":\"2019-04-15 15:25:58-07:00\"\n  },\n  {\n    \"id\":\"places_27358\",\n    \"desc\":\"I have been to Vancouver Convention Centre West\",\n    \"details\":\"I have been to Vancouver Convention Centre West\",\n    \"date\":\"2019-04-15 17:05:24-07:00\"\n  },\n  {\n    \"id\":\"places_27359\",\n    \"desc\":\"I have been to Vancouver Convention Centre West\",\n    \"details\":\"I have been to Vancouver Convention Centre West\",\n    \"date\":\"2019-04-15 17:16:37-07:00\"\n  },\n  {\n    \"id\":\"places_27360\",\n    \"desc\":\"I have been to Gastown Nail Salon\",\n    \"details\":\"I have been to Gastown Nail Salon\",\n    \"date\":\"2019-04-15 18:13:08-07:00\"\n  },\n  {\n    \"id\":\"places_27361\",\n    \"desc\":\"I have been to Gastown Nail Salon\",\n    \"details\":\"I have been to Gastown Nail Salon\",\n    \"date\":\"2019-04-15 18:30:43-07:00\"\n  },\n  {\n    \"id\":\"places_27362\",\n    \"desc\":\"I have been to Vancouver Convention Centre West\",\n    \"details\":\"I 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\"id\":\"places_27367\",\n    \"desc\":\"I have been to Vancouver's Olympic Cauldron\",\n    \"details\":\"I have been to Vancouver's Olympic Cauldron\",\n    \"date\":\"2019-04-15 20:31:18-07:00\"\n  },\n  {\n    \"id\":\"places_27368\",\n    \"desc\":\"I have been to Vancouver's Shaw Tower\",\n    \"details\":\"I have been to Vancouver's Shaw Tower\",\n    \"date\":\"2019-04-16 07:52:35-07:00\"\n  },\n  {\n    \"id\":\"places_27369\",\n    \"desc\":\"I have been to Vancouver's Shaw Tower\",\n    \"details\":\"I have been to Vancouver's Shaw Tower\",\n    \"date\":\"2019-04-16 07:52:38-07:00\"\n  },\n  {\n    \"id\":\"places_27370\",\n    \"desc\":\"I have been to Vancouver's Shaw Tower\",\n    \"details\":\"I have been to Vancouver's Shaw Tower\",\n    \"date\":\"2019-04-16 07:52:47-07:00\"\n  },\n  {\n    \"id\":\"places_27371\",\n    \"desc\":\"I have been to Vancouver's Shaw Tower\",\n    \"details\":\"I have been to Vancouver's Shaw Tower\",\n    \"date\":\"2019-04-16 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\"date\":\"2019-04-25 05:47:17-07:00\"\n  },\n  {\n    \"id\":\"places_27503\",\n    \"desc\":\"I have been to Exploring Mather Point\",\n    \"details\":\"I have been to Exploring Mather Point\",\n    \"date\":\"2019-04-25 05:47:39-07:00\"\n  },\n  {\n    \"id\":\"places_27504\",\n    \"desc\":\"I have been to Exploring Mather Point\",\n    \"details\":\"I have been to Exploring Mather Point\",\n    \"date\":\"2019-04-25 05:47:50-07:00\"\n  },\n  {\n    \"id\":\"places_27505\",\n    \"desc\":\"I have been to Exploring Mather Point\",\n    \"details\":\"I have been to Exploring Mather Point\",\n    \"date\":\"2019-04-25 05:47:49-07:00\"\n  },\n  {\n    \"id\":\"places_27506\",\n    \"desc\":\"I have been to Exploring the Grand Canyon\",\n    \"details\":\"I have been to Exploring the Grand Canyon\",\n    \"date\":\"2019-04-25 05:54:16-07:00\"\n  },\n  {\n    \"id\":\"places_27507\",\n    \"desc\":\"I have been to Exploring the Grand Canyon\",\n    \"details\":\"I have been to Exploring 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\"date\":\"2019-04-25 18:15:41-07:00\"\n  },\n  {\n    \"id\":\"places_27532\",\n    \"desc\":\"I have been to Exploring Sedona, Arizona\",\n    \"details\":\"I have been to Exploring Sedona, Arizona\",\n    \"date\":\"2019-04-25 18:22:55-07:00\"\n  },\n  {\n    \"id\":\"places_27533\",\n    \"desc\":\"I have been to \\\"Exploring Sedona's Airport Mesa Viewpoint\\\"\",\n    \"details\":\"I have been to \\\"Exploring Sedona's Airport Mesa Viewpoint\\\"\",\n    \"date\":\"2019-04-25 18:24:57-07:00\"\n  },\n  {\n    \"id\":\"places_27534\",\n    \"desc\":\"I have been to \\\"Exploring Sedona's Airport Mesa Viewpoint\\\"\",\n    \"details\":\"I have been to \\\"Exploring Sedona's Airport Mesa Viewpoint\\\"\",\n    \"date\":\"2019-04-25 18:25:06-07:00\"\n  },\n  {\n    \"id\":\"places_27535\",\n    \"desc\":\"I have been to \\\"Exploring Sedona, Arizona\\\"\",\n    \"details\":\"I have been to \\\"Exploring Sedona, Arizona\\\"\",\n    \"date\":\"2019-04-25 18:42:55-07:00\"\n  },\n  {\n    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\"date\":\"2019-04-26 10:39:48-07:00\"\n  },\n  {\n    \"id\":\"places_27561\",\n    \"desc\":\"I have been to \\\"Exploring Sedona, Arizona\\\"\",\n    \"details\":\"I have been to \\\"Exploring Sedona, Arizona\\\"\",\n    \"date\":\"2019-04-26 10:42:14-07:00\"\n  },\n  {\n    \"id\":\"places_27562\",\n    \"desc\":\"I have been to \\\"Exploring Sedona, Arizona\\\"\",\n    \"details\":\"I have been to \\\"Exploring Sedona, Arizona\\\"\",\n    \"date\":\"2019-04-26 10:43:59-07:00\"\n  },\n  {\n    \"id\":\"places_27563\",\n    \"desc\":\"I have been to \\\"Exploring Sedona, Arizona\\\"\",\n    \"details\":\"I have been to \\\"Exploring Sedona, Arizona\\\"\",\n    \"date\":\"2019-04-26 10:44:02-07:00\"\n  },\n  {\n    \"id\":\"places_27564\",\n    \"desc\":\"I have been to \\\"Exploring Sedona, Arizona\\\"\",\n    \"details\":\"I have been to \\\"Exploring Sedona, Arizona\\\"\",\n    \"date\":\"2019-04-26 10:44:25-07:00\"\n  },\n  {\n    \"id\":\"places_27565\",\n    \"desc\":\"I have been to \\\"Exploring Sedona, Arizona\\\"\",\n    \"details\":\"I have been to \\\"Exploring Sedona, Arizona\\\"\",\n    \"date\":\"2019-04-26 10:44:29-07:00\"\n  },\n  {\n    \"id\":\"places_27566\",\n    \"desc\":\"I have been to Exploring Arizona's Western Navajo Agency\",\n    \"details\":\"I have been to Exploring Arizona's Western Navajo Agency\",\n    \"date\":\"2019-04-26 15:57:32-06:00\"\n  },\n  {\n    \"id\":\"places_27567\",\n    \"desc\":\"I have been to Exploring Arizona's Western Navajo Agency\",\n    \"details\":\"I have been to Exploring Arizona's Western Navajo Agency\",\n    \"date\":\"2019-04-26 15:57:35-06:00\"\n  },\n  {\n    \"id\":\"places_27568\",\n    \"desc\":\"I have been to Exploring Arizona's Western Navajo Agency\",\n    \"details\":\"I have been to Exploring Arizona's Western Navajo Agency\",\n    \"date\":\"2019-04-26 15:58:00-06:00\"\n  },\n  {\n    \"id\":\"places_27569\",\n    \"desc\":\"I have been to Exploring Bitter Springs, Arizona\",\n    \"details\":\"I have been to Exploring Bitter Springs, Arizona\",\n    \"date\":\"2019-04-26 16:12:26-06:00\"\n  },\n  {\n    \"id\":\"places_27570\",\n    \"desc\":\"I have been to Exploring Bitter Springs, Arizona\",\n    \"details\":\"I have been to Exploring Bitter Springs, Arizona\",\n    \"date\":\"2019-04-26 16:12:25-06:00\"\n  },\n  {\n    \"id\":\"places_27571\",\n    \"desc\":\"I have been to Exploring Bitter Springs, Arizona\",\n    \"details\":\"I have been to Exploring Bitter Springs, Arizona\",\n    \"date\":\"2019-04-26 16:12:48-06:00\"\n  },\n  {\n    \"id\":\"places_27598\",\n    \"desc\":\"I have been to Exploring Lake Powell Resort\",\n    \"details\":\"I have been to Exploring Lake Powell Resort\",\n    \"date\":\"2019-04-26 18:03:53-07:00\"\n  },\n  {\n    \"id\":\"places_27599\",\n    \"desc\":\"I have been to Exploring Lake Powell Resort\",\n    \"details\":\"I have been to Exploring Lake Powell Resort\",\n    \"date\":\"2019-04-26 18:04:06-07:00\"\n  },\n  {\n    \"id\":\"places_27600\",\n    \"desc\":\"I have been to Exploring Lake Powell Resort\",\n    \"details\":\"I have been to Exploring Lake Powell Resort\",\n    \"date\":\"2019-04-27 08:00:20-07:00\"\n  },\n  {\n    \"id\":\"places_27605\",\n    \"desc\":\"I have been to Exploring Lake Powell Resort\",\n    \"details\":\"I have been to Exploring Lake Powell Resort\",\n    \"date\":\"2019-04-27 09:03:39-07:00\"\n  },\n  {\n    \"id\":\"places_27607\",\n    \"desc\":\"I have been to Exploring Lake Powell Resort\",\n    \"details\":\"I have been to Exploring Lake Powell Resort\",\n    \"date\":\"2019-04-27 09:38:35-07:00\"\n  },\n  {\n    \"id\":\"places_27609\",\n    \"desc\":\"I have been to Exploring Wahweap's Navajo Viewpoint\",\n    \"details\":\"I have been to Exploring Wahweap's Navajo Viewpoint\",\n    \"date\":\"2019-04-27 10:38:44-07:00\"\n  },\n  {\n    \"id\":\"places_27610\",\n    \"desc\":\"I have been to Exploring Garfield County, Utah\",\n    \"details\":\"I have been to Exploring Garfield County, Utah\",\n    \"date\":\"2019-04-27 15:47:52-06:00\"\n  },\n  {\n    \"id\":\"places_27611\",\n    \"desc\":\"I have been to Exploring Garfield County, Utah\",\n    \"details\":\"I have been to Exploring Garfield County, Utah\",\n    \"date\":\"2019-04-27 15:48:04-06:00\"\n  },\n  {\n    \"id\":\"places_27612\",\n    \"desc\":\"I have been to Tropic, Utah\",\n    \"details\":\"I have been to Tropic, Utah\",\n    \"date\":\"2019-04-27 16:17:22-06:00\"\n  },\n  {\n    \"id\":\"places_27613\",\n    \"desc\":\"I have been to \\\"Sunset Point in Utah\\\"\",\n    \"details\":\"I have been to \\\"Sunset Point in Utah\\\"\",\n    \"date\":\"2019-04-27 17:37:11-06:00\"\n  },\n  {\n    \"id\":\"places_27614\",\n    \"desc\":\"I have been to Exploring Utah's Navajo Loop Trail\",\n    \"details\":\"I have been to Exploring Utah's Navajo Loop Trail\",\n    \"date\":\"2019-04-27 17:39:13-06:00\"\n  },\n  {\n    \"id\":\"places_27615\",\n    \"desc\":\"I have been to Exploring Utah's Navajo Loop Trail\",\n    \"details\":\"I have been to Exploring Utah's Navajo Loop Trail\",\n    \"date\":\"2019-04-27 17:39:16-06:00\"\n  },\n  {\n    \"id\":\"places_27616\",\n    \"desc\":\"I have been to Exploring Utah's Navajo Loop Trail\",\n    \"details\":\"I have been to Exploring Utah's Navajo Loop Trail\",\n    \"date\":\"2019-04-27 17:39:19-06:00\"\n  },\n  {\n    \"id\":\"places_27617\",\n    \"desc\":\"I have been to Exploring Utah's Navajo Loop Trail\",\n    \"details\":\"I have been to Exploring Utah's Navajo Loop Trail\",\n    \"date\":\"2019-04-27 17:39:22-06:00\"\n  },\n  {\n    \"id\":\"places_27618\",\n    \"desc\":\"I have been to Exploring Utah's Navajo Loop Trail\",\n    \"details\":\"I have been to Exploring Utah's Navajo Loop Trail\",\n    \"date\":\"2019-04-27 17:39:31-06:00\"\n  },\n  {\n    \"id\":\"places_27619\",\n    \"desc\":\"I have been to Exploring Utah's Navajo Loop Trail\",\n    \"details\":\"I have been to Exploring Utah's Navajo Loop Trail\",\n    \"date\":\"2019-04-27 17:39:33-06:00\"\n  },\n  {\n    \"id\":\"places_27620\",\n    \"desc\":\"I have been to Exploring Utah's Rim Trail\",\n    \"details\":\"I have been to Exploring Utah's Rim Trail\",\n    \"date\":\"2019-04-27 17:39:41-06:00\"\n  },\n  {\n    \"id\":\"places_27621\",\n    \"desc\":\"I have been to Exploring Utah's Rim Trail\",\n    \"details\":\"I have been to Exploring Utah's Rim Trail\",\n    \"date\":\"2019-04-27 17:39:43-06:00\"\n  },\n  {\n    \"id\":\"places_27622\",\n    \"desc\":\"I have been to Exploring Utah's Rim Trail\",\n    \"details\":\"I have been to Exploring Utah's Rim Trail\",\n    \"date\":\"2019-04-27 17:45:04-06:00\"\n  },\n  {\n    \"id\":\"places_27623\",\n    \"desc\":\"I have been to Exploring Utah's Rim Trail\",\n    \"details\":\"I have been to Exploring Utah's Rim Trail\",\n    \"date\":\"2019-04-27 18:00:27-06:00\"\n  },\n  {\n    \"id\":\"places_27624\",\n    \"desc\":\"I have been to Exploring Utah's Rim Trail\",\n    \"details\":\"I have been to Exploring Utah's Rim Trail\",\n    \"date\":\"2019-04-27 18:05:34-06:00\"\n  },\n  {\n    \"id\":\"places_27625\",\n    \"desc\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"details\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"date\":\"2019-04-27 18:14:23-06:00\"\n  },\n  {\n    \"id\":\"places_27626\",\n    \"desc\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"details\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"date\":\"2019-04-27 18:18:42-06:00\"\n  },\n  {\n    \"id\":\"places_27627\",\n    \"desc\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"details\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"date\":\"2019-04-27 18:18:47-06:00\"\n  },\n  {\n    \"id\":\"places_27628\",\n    \"desc\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"details\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"date\":\"2019-04-27 18:18:51-06:00\"\n  },\n  {\n    \"id\":\"places_27629\",\n    \"desc\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"details\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"date\":\"2019-04-27 18:20:03-06:00\"\n  },\n  {\n    \"id\":\"places_27630\",\n    \"desc\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"details\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"date\":\"2019-04-27 18:20:12-06:00\"\n  },\n  {\n    \"id\":\"places_27631\",\n    \"desc\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"details\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"date\":\"2019-04-27 18:27:33-06:00\"\n  },\n  {\n    \"id\":\"places_27632\",\n    \"desc\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"details\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"date\":\"2019-04-27 18:28:52-06:00\"\n  },\n  {\n    \"id\":\"places_27633\",\n    \"desc\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"details\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"date\":\"2019-04-27 18:28:57-06:00\"\n  },\n  {\n    \"id\":\"places_27634\",\n    \"desc\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"details\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"date\":\"2019-04-27 18:28:59-06:00\"\n  },\n  {\n    \"id\":\"places_27635\",\n    \"desc\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"details\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"date\":\"2019-04-27 18:34:01-06:00\"\n  },\n  {\n    \"id\":\"places_27637\",\n    \"desc\":\"I have been to Tropic, Utah\",\n    \"details\":\"I have been to Tropic, Utah\",\n    \"date\":\"2019-04-27 18:43:44-06:00\"\n  },\n  {\n    \"id\":\"places_27638\",\n    \"desc\":\"I have been to Tropic, Utah\",\n    \"details\":\"I have been to Tropic, Utah\",\n    \"date\":\"2019-04-27 18:43:48-06:00\"\n  },\n  {\n    \"id\":\"places_27639\",\n    \"desc\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"details\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"date\":\"2019-04-27 18:50:14-06:00\"\n  },\n  {\n    \"id\":\"places_27640\",\n    \"desc\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"details\":\"I have been to Exploring Utah's Queen's Garden Trail\",\n    \"date\":\"2019-04-27 19:13:37-06:00\"\n  },\n  {\n    \"id\":\"places_27641\",\n    \"desc\":\"I have been to Exploring Utah's Rim Trail\",\n    \"details\":\"I have been to Exploring Utah's Rim Trail\",\n    \"date\":\"2019-04-27 19:34:15-06:00\"\n  },\n  {\n    \"id\":\"places_27642\",\n    \"desc\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"details\":\"I have been to \\\"Texas Home on Greg Street\\\"\",\n    \"date\":\"2019-04-29 11:49:07-07:00\"\n  },\n  {\n    \"id\":\"purchase_0\",\n    \"desc\":\"I purchased Dr. Earth 713 Organic 9 Fruit Tree Fertilizer, 12-Pound from Amazon\",\n    \"details\":\"I purchased Dr. Earth 713 Organic 9 Fruit Tree Fertilizer, 12-Pound from Amazon\",\n    \"date\":\"2019-03-26T16:29:16\"\n  },\n  {\n    \"id\":\"purchase_1\",\n    \"desc\":\"I purchased Miracle-Gro Citrus, Avocado, & Mango Food, 20 lb. from Amazon\",\n    \"details\":\"I purchased Miracle-Gro Citrus, Avocado, & Mango Food, 20 lb. from Amazon\",\n    \"date\":\"2019-03-26T16:28:27\"\n  },\n  {\n    \"id\":\"purchase_2\",\n    \"desc\":\"I purchased 63\\\" Garden Leaf Rake 38\\\"-63\\\"Adjustable Garden Rake,25 tines, Metal Rake for Quick Clean Up of Lawn and Yard from Amazon\",\n    \"details\":\"I purchased 63\\\" Garden Leaf Rake 38\\\"-63\\\"Adjustable Garden Rake,25 tines, Metal Rake for Quick Clean Up of Lawn and Yard from Amazon\",\n    \"date\":\"2019-03-25T17:19:27\"\n  },\n  {\n    \"id\":\"purchase_3\",\n    \"desc\":\"I purchased Secret Antiperspirant Clinical Strength Deodorant for Women, Clear Gel, Completely Clean, 2.6 oz from Amazon\",\n    \"details\":\"I purchased Secret Antiperspirant Clinical Strength Deodorant for Women, Clear Gel, Completely Clean, 2.6 oz from Amazon\",\n    \"date\":\"2019-03-23T03:42:11\"\n  },\n  {\n    \"id\":\"purchase_4\",\n    \"desc\":\"I purchased Amazon Basics Ultra Facial Tissue with Lotion18 Cube Boxes - 75 Tissues per Box -1350 Tissues Total (Previously Solimo) from Amazon\",\n    \"details\":\"I purchased Amazon Basics Ultra Facial Tissue with Lotion18 Cube Boxes - 75 Tissues per Box -1350 Tissues Total (Previously Solimo) from Amazon\",\n    \"date\":\"2019-03-13T20:42:12\"\n  },\n  {\n    \"id\":\"purchase_5\",\n    \"desc\":\"I purchased ejet Compatible Toner Cartridge Replacement for Brother TN450 TN420 TN-450 TN-420 for HL-2270DW HL-2280DW HL-2230 HL-2240 7360N 7860DW 7065DN Intellif from Amazon\",\n    \"details\":\"I purchased ejet Compatible Toner Cartridge Replacement for Brother TN450 TN420 TN-450 TN-420 for HL-2270DW HL-2280DW HL-2230 HL-2240 7360N 7860DW 7065DN Intellif from Amazon\",\n    \"date\":\"2019-03-13T00:23:01\"\n  },\n  {\n    \"id\":\"purchase_6\",\n    \"desc\":\"I purchased Hanes Men's Pocket T-Shirt Pack, Cotton Crewneck Pocket Tees 6-Pack, Moisture-Wicking Cotton T-Shirt Assorted 6-Pack from Amazon\",\n    \"details\":\"I purchased Hanes Men's Pocket T-Shirt Pack, Cotton Crewneck Pocket Tees 6-Pack, Moisture-Wicking Cotton T-Shirt Assorted 6-Pack from Amazon\",\n    \"date\":\"2019-03-12T16:59:59\"\n  },\n  {\n    \"id\":\"purchase_7\",\n    \"desc\":\"I purchased Neutrogena Ultra Sheer Dry-Touch Water Resistant and Non-Greasy Sunscreen Lotion with Broad Spectrum SPF 70, 3 Fl Oz (Pack of 1) from Amazon\",\n    \"details\":\"I purchased Neutrogena Ultra Sheer Dry-Touch Water Resistant and Non-Greasy Sunscreen Lotion with Broad Spectrum SPF 70, 3 Fl Oz (Pack of 1) from Amazon\",\n    \"date\":\"2019-03-12T16:59:59\"\n  },\n  {\n    \"id\":\"purchase_8\",\n    \"desc\":\"I purchased 100% Natural Boar Bristle Body Brush with Contoured Wooden Handle by TOUCH ME from Amazon\",\n    \"details\":\"I purchased 100% Natural Boar Bristle Body Brush with Contoured Wooden Handle by TOUCH ME from Amazon\",\n    \"date\":\"2019-03-10T04:27:17\"\n  },\n  {\n    \"id\":\"purchase_9\",\n    \"desc\":\"I purchased Amazon Brand - Solimo 70% Ethyl Rubbing Alcohol First Aid Antiseptic, 16 Fluid Ounces from Amazon\",\n    \"details\":\"I purchased Amazon Brand - Solimo 70% Ethyl Rubbing Alcohol First Aid Antiseptic, 16 Fluid Ounces from Amazon\",\n    \"date\":\"2019-03-10T04:27:17\"\n  },\n  {\n    \"id\":\"purchase_10\",\n    \"desc\":\"I purchased Deseret Deals Boy Scout Neckerchief Slide - Metal Kerchief Woggle, for Cub Scouts and Varsity Scouts (2 Pack) from Amazon\",\n    \"details\":\"I purchased Deseret Deals Boy Scout Neckerchief Slide - Metal Kerchief Woggle, for Cub Scouts and Varsity Scouts (2 Pack) from Amazon\",\n    \"date\":\"2019-03-10T04:27:17\"\n  },\n  {\n    \"id\":\"purchase_11\",\n    \"desc\":\"I purchased Hiking Pants for Men Convertible Zip Off Boy Scout Quick Dry Lightweight Cargo Travel Safari Pants (ZB02 Army Green 34) from Amazon\",\n    \"details\":\"I purchased Hiking Pants for Men Convertible Zip Off Boy Scout Quick Dry Lightweight Cargo Travel Safari Pants (ZB02 Army Green 34) from Amazon\",\n    \"date\":\"2019-03-10T04:27:17\"\n  },\n  {\n    \"id\":\"purchase_12\",\n    \"desc\":\"I purchased Microfiber Spray Mop for Floor Cleaning, Dry Wet Wood Floor Mop with 3 pcs Washable Pads, Handle Flat Mop with Sprayer for Kitchen Wood Floor Hardwood from Amazon\",\n    \"details\":\"I purchased Microfiber Spray Mop for Floor Cleaning, Dry Wet Wood Floor Mop with 3 pcs Washable Pads, Handle Flat Mop with Sprayer for Kitchen Wood Floor Hardwood from Amazon\",\n    \"date\":\"2019-03-10T04:27:17\"\n  },\n  {\n    \"id\":\"purchase_13\",\n    \"desc\":\"I purchased Airbee Plastic Spray Bottles 2 Pack 16 Oz for Cleaning Solutions, Planting, Pet, Bleach Spray, Vinegar, Professional Empty Spraying Bottle, Mist Water from Amazon\",\n    \"details\":\"I purchased Airbee Plastic Spray Bottles 2 Pack 16 Oz for Cleaning Solutions, Planting, Pet, Bleach Spray, Vinegar, Professional Empty Spraying Bottle, Mist Water from Amazon\",\n    \"date\":\"2019-03-10T04:27:17\"\n  },\n  {\n    \"id\":\"purchase_14\",\n    \"desc\":\"I purchased 21 Lessons for the 21st Century from Amazon\",\n    \"details\":\"I purchased 21 Lessons for the 21st Century from Amazon\",\n    \"date\":\"2019-04-11T03:41:12\"\n  },\n  {\n    \"id\":\"purchase_15\",\n    \"desc\":\"I purchased Nudge: Improving Decisions About Health, Wealth, and Happiness from Amazon\",\n    \"details\":\"I purchased Nudge: Improving Decisions About Health, Wealth, and Happiness from Amazon\",\n    \"date\":\"2019-04-11T03:41:12\"\n  },\n  {\n    \"id\":\"purchase_16\",\n    \"desc\":\"I purchased How to Be an Antiracist from Amazon\",\n    \"details\":\"I purchased How to Be an Antiracist from Amazon\",\n    \"date\":\"2019-04-11T03:41:12\"\n  },\n  {\n    \"id\":\"purchase_17\",\n    \"desc\":\"I purchased Predictably Irrational, Revised and Expanded Edition: The Hidden Forces That Shape Our Decisions from Amazon\",\n    \"details\":\"I purchased Predictably Irrational, Revised and Expanded Edition: The Hidden Forces That Shape Our Decisions from Amazon\",\n    \"date\":\"2019-04-11T03:41:12\"\n  },\n  {\n    \"id\":\"purchase_18\",\n    \"desc\":\"I purchased Thinking, Fast and Slow from Amazon\",\n    \"details\":\"I purchased Thinking, Fast and Slow from Amazon\",\n    \"date\":\"2019-04-11T03:41:12\"\n  },\n  {\n    \"id\":\"purchase_19\",\n    \"desc\":\"I purchased The Ministry for the Future: A Novel from Amazon\",\n    \"details\":\"I purchased The Ministry for the Future: A Novel from Amazon\",\n    \"date\":\"2019-04-11T03:41:12\"\n  },\n  {\n    \"id\":\"purchase_20\",\n    \"desc\":\"I purchased Oral-B Complete Glide Dental Floss Picks Plus Scope Outlast, Long Lasting Mint, 75 Dental Floss Picks, Pack of 6 from Amazon\",\n    \"details\":\"I purchased Oral-B Complete Glide Dental Floss Picks Plus Scope Outlast, Long Lasting Mint, 75 Dental Floss Picks, Pack of 6 from Amazon\",\n    \"date\":\"2019-04-10T02:22:56\"\n  },\n  {\n    \"id\":\"purchase_21\",\n    \"desc\":\"I purchased The Bitcoin Standard: The Decentralized Alternative to Central Banking from Amazon\",\n    \"details\":\"I purchased The Bitcoin Standard: The Decentralized Alternative to Central Banking from Amazon\",\n    \"date\":\"2019-04-05T20:59:13\"\n  },\n  {\n    \"id\":\"purchase_22\",\n    \"desc\":\"I purchased UpNUpCo Artistic Beautiful Anti Fatigue Kitchen Floor Mat - Unique Floor Mats - Pain Relief Padded Kitchen Mats - Floor Mats For In Front Of Sink - Me from Amazon\",\n    \"details\":\"I purchased UpNUpCo Artistic Beautiful Anti Fatigue Kitchen Floor Mat - Unique Floor Mats - Pain Relief Padded Kitchen Mats - Floor Mats For In Front Of Sink - Me from Amazon\",\n    \"date\":\"2019-03-10T20:32:00\"\n  },\n  {\n    \"id\":\"purchase_23\",\n    \"desc\":\"I purchased Fiskars 46 Inch Steel D-handle Digging Shovel from Amazon\",\n    \"details\":\"I purchased Fiskars 46 Inch Steel D-handle Digging Shovel from Amazon\",\n    \"date\":\"2019-03-03T17:40:07\"\n  },\n  {\n    \"id\":\"purchase_24\",\n    \"desc\":\"I purchased AP World History: Modern Premium, 2022-2023: 5 Practice Tests + Comprehensive Review + Online Practice (Barron's Test Prep) from Amazon\",\n    \"details\":\"I purchased AP World History: Modern Premium, 2022-2023: 5 Practice Tests + Comprehensive Review + Online Practice (Barron's Test Prep) from Amazon\",\n    \"date\":\"2019-04-28T22:57:54\"\n  },\n  {\n    \"id\":\"purchase_25\",\n    \"desc\":\"I purchased [3-Pack] European Travel Plug Adapter, VINTAR International Power Adaptor with 2 USB Ports,2 American Outlets- 4 in 1 European Plug Adapter for France from Amazon\",\n    \"details\":\"I purchased [3-Pack] European Travel Plug Adapter, VINTAR International Power Adaptor with 2 USB Ports,2 American Outlets- 4 in 1 European Plug Adapter for France from Amazon\",\n    \"date\":\"2019-04-20T04:53:01\"\n  },\n  {\n    \"id\":\"purchase_26\",\n    \"desc\":\"I purchased Meta Quest 2 - Advanced All-In-One Virtual Reality Headset - 128 GB from Amazon\",\n    \"details\":\"I purchased Meta Quest 2 - Advanced All-In-One Virtual Reality Headset - 128 GB from Amazon\",\n    \"date\":\"2019-04-18T22:28:47\"\n  },\n  {\n    \"id\":\"purchase_27\",\n    \"desc\":\"I purchased Artizen 30ml Oils - Lavender Essential Oil - 1 Fluid Ounce from Amazon\",\n    \"details\":\"I purchased Artizen 30ml Oils - Lavender Essential Oil - 1 Fluid Ounce from Amazon\",\n    \"date\":\"2019-04-18T02:11:57\"\n  },\n  {\n    \"id\":\"purchase_28\",\n    \"desc\":\"I purchased Shea Butter Yellow Smooth | All Natural, 100% Pure- Unrefined | Daily Skin Moisturizer For Face & Body | Softens Tough Skin | Moisturizes Dry Skin | A from Amazon\",\n    \"details\":\"I purchased Shea Butter Yellow Smooth | All Natural, 100% Pure- Unrefined | Daily Skin Moisturizer For Face & Body | Softens Tough Skin | Moisturizes Dry Skin | A from Amazon\",\n    \"date\":\"2019-04-18T02:08:21\"\n  },\n  {\n    \"id\":\"purchase_29\",\n    \"desc\":\"I purchased Alternative Imagination 100% Pure Beeswax Bar (1 Ounce), Made in USA from Amazon\",\n    \"details\":\"I purchased Alternative Imagination 100% Pure Beeswax Bar (1 Ounce), Made in USA from Amazon\",\n    \"date\":\"2019-04-18T02:03:55\"\n  },\n  {\n    \"id\":\"purchase_30\",\n    \"desc\":\"I purchased Go Gently: Actionable Steps to Nurture Yourself and the Planet from Amazon\",\n    \"details\":\"I purchased Go Gently: Actionable Steps to Nurture Yourself and the Planet from Amazon\",\n    \"date\":\"2019-04-16T18:53:52\"\n  },\n  {\n    \"id\":\"purchase_31\",\n    \"desc\":\"I purchased Joico HydraSplash Hydrating Gel\\u00e9e Masque | Replenish Hydration | Add Shine | For Fine \\/ Medium \\/ Dry Hair from Amazon\",\n    \"details\":\"I purchased Joico HydraSplash Hydrating Gel\\u00e9e Masque | Replenish Hydration | Add Shine | For Fine \\/ Medium \\/ Dry Hair from Amazon\",\n    \"date\":\"2019-03-30T18:03:45\"\n  },\n  {\n    \"id\":\"purchase_32\",\n    \"desc\":\"I purchased Secret Antiperspirant Clinical Strength Deodorant for Women, Clear Gel, Completely Clean, 2.6 oz from Amazon\",\n    \"details\":\"I purchased Secret Antiperspirant Clinical Strength Deodorant for Women, Clear Gel, Completely Clean, 2.6 oz from Amazon\",\n    \"date\":\"2019-03-30T18:03:45\"\n  },\n  {\n    \"id\":\"purchase_33\",\n    \"desc\":\"I purchased Joico HydraSplash Hydrating Conditioner for fine hair 8.5 fl oz from Amazon\",\n    \"details\":\"I purchased Joico HydraSplash Hydrating Conditioner for fine hair 8.5 fl oz from Amazon\",\n    \"date\":\"2019-03-30T18:03:45\"\n  },\n  {\n    \"id\":\"purchase_34\",\n    \"desc\":\"I purchased Joico HydraSplash Hydrating Shampoo for fine hair 33.8 fl oz from Amazon\",\n    \"details\":\"I purchased Joico HydraSplash Hydrating Shampoo for fine hair 33.8 fl oz from Amazon\",\n    \"date\":\"2019-03-30T18:03:45\"\n  },\n  {\n    \"id\":\"purchase_35\",\n    \"desc\":\"I purchased Joico Power Spray Fast-Dry Finishing Spray, 9.0 Ounce, New Look from Amazon\",\n    \"details\":\"I purchased Joico Power Spray Fast-Dry Finishing Spray, 9.0 Ounce, New Look from Amazon\",\n    \"date\":\"2019-03-30T18:03:45\"\n  },\n  {\n    \"id\":\"purchase_36\",\n    \"desc\":\"I purchased Joico HydraSplash Replenishing Leave-In | Boost Shine | Reduce Frizz | For Fine\\/ Medium \\/ Dry Hair, 3.38 Fl Oz (Pack of 1) from Amazon\",\n    \"details\":\"I purchased Joico HydraSplash Replenishing Leave-In | Boost Shine | Reduce Frizz | For Fine\\/ Medium \\/ Dry Hair, 3.38 Fl Oz (Pack of 1) from Amazon\",\n    \"date\":\"2019-03-30T18:03:45\"\n  },\n  {\n    \"id\":\"purchase_38\",\n    \"desc\":\"I purchased Claritin 24 Hour Reditabs - 60 ct from Amazon\",\n    \"details\":\"I purchased Claritin 24 Hour Reditabs - 60 ct from Amazon\",\n    \"date\":\"2019-03-27T23:21:18\"\n  },\n  {\n    \"id\":\"purchase_40\",\n    \"desc\":\"I purchased SOTO WindMaster w\\/ Micro Regulator and 4Flex (One Size) from Amazon\",\n    \"details\":\"I purchased SOTO WindMaster w\\/ Micro Regulator and 4Flex (One Size) from Amazon\",\n    \"date\":\"2019-03-08T03:42:32\"\n  },\n  {\n    \"id\":\"purchase_41\",\n    \"desc\":\"I purchased Portable Electric Space Heater 1500W\\/750W, Ceramic Room Heater with Tip-Over and Overheat Protection, Heat up 200 Square Feet in Seconds, Safe and Qui from Amazon\",\n    \"details\":\"I purchased Portable Electric Space Heater 1500W\\/750W, Ceramic Room Heater with Tip-Over and Overheat Protection, Heat up 200 Square Feet in Seconds, Safe and Qui from Amazon\",\n    \"date\":\"2019-03-05T04:45:16\"\n  },\n  {\n    \"id\":\"purchase_42\",\n    \"desc\":\"I purchased Value Sensitive Design: Shaping Technology with Moral Imagination (The MIT Press) from Amazon\",\n    \"details\":\"I purchased Value Sensitive Design: Shaping Technology with Moral Imagination (The MIT Press) from Amazon\",\n    \"date\":\"2019-04-09T17:45:52\"\n  },\n  {\n    \"id\":\"purchase_43\",\n    \"desc\":\"I purchased Anti Fog Spray for Glasses | 600 Pumps, 6 month Supply | Prevents Fog on Windshield, Lenses, Goggles, PPE & VR Headsets | Safe on Anti-Reflective Lens from Amazon\",\n    \"details\":\"I purchased Anti Fog Spray for Glasses | 600 Pumps, 6 month Supply | Prevents Fog on Windshield, Lenses, Goggles, PPE & VR Headsets | Safe on Anti-Reflective Lens from Amazon\",\n    \"date\":\"2019-03-30T17:59:04\"\n  },\n  {\n    \"id\":\"purchase_44\",\n    \"desc\":\"I purchased WD-40 Multi-Use Product Handy Can 3 oz (Pack of 2) from Amazon\",\n    \"details\":\"I purchased WD-40 Multi-Use Product Handy Can 3 oz (Pack of 2) from Amazon\",\n    \"date\":\"2019-03-30T05:26:19\"\n  },\n  {\n    \"id\":\"purchase_45\",\n    \"desc\":\"I purchased Organic Cowboy Boneless Chicken Thighs from Amazon\",\n    \"details\":\"I purchased Organic Cowboy Boneless Chicken Thighs from Amazon\",\n    \"date\":\"2019-03-24T22:53:23\"\n  },\n  {\n    \"id\":\"purchase_46\",\n    \"desc\":\"I purchased Organic Yellow Onion from Amazon\",\n    \"details\":\"I purchased Organic Yellow Onion from Amazon\",\n    \"date\":\"2019-03-24T22:53:23\"\n  },\n  {\n    \"id\":\"purchase_47\",\n    \"desc\":\"I purchased Bag Refund from Amazon\",\n    \"details\":\"I purchased Bag Refund from Amazon\",\n    \"date\":\"2019-03-24T22:53:23\"\n  },\n  {\n    \"id\":\"purchase_48\",\n    \"desc\":\"I purchased Espresso from Amazon\",\n    \"details\":\"I purchased Espresso from Amazon\",\n    \"date\":\"2019-03-24T22:53:23\"\n  },\n  {\n    \"id\":\"purchase_49\",\n    \"desc\":\"I purchased Donation Bag from Amazon\",\n    \"details\":\"I purchased Donation Bag from Amazon\",\n    \"date\":\"2019-03-24T22:53:23\"\n  },\n  {\n    \"id\":\"purchase_50\",\n    \"desc\":\"I purchased Blueberry Greek Yogurt from Amazon\",\n    \"details\":\"I purchased Blueberry Greek Yogurt from Amazon\",\n    \"date\":\"2019-03-24T22:53:23\"\n  },\n  {\n    \"id\":\"purchase_51\",\n    \"desc\":\"I purchased Organic Ginger Root from Amazon\",\n    \"details\":\"I purchased Organic Ginger Root from Amazon\",\n    \"date\":\"2019-03-24T22:53:23\"\n  },\n  {\n    \"id\":\"purchase_52\",\n    \"desc\":\"I purchased Organic Milk from Amazon\",\n    \"details\":\"I purchased Organic Milk from Amazon\",\n    \"date\":\"2019-03-24T22:53:23\"\n  },\n  {\n    \"id\":\"purchase_53\",\n    \"desc\":\"I purchased Green Onion from Amazon\",\n    \"details\":\"I purchased Green Onion from Amazon\",\n    \"date\":\"2019-03-24T22:53:23\"\n  },\n  {\n    \"id\":\"purchase_54\",\n    \"desc\":\"I purchased Blueberry Yoghurt from Amazon\",\n    \"details\":\"I purchased Blueberry Yoghurt from Amazon\",\n    \"date\":\"2019-03-24T22:53:23\"\n  },\n  {\n    \"id\":\"purchase_55\",\n    \"desc\":\"I purchased Boneless Skinless Chicken Thighs from Amazon\",\n    \"details\":\"I purchased Boneless Skinless Chicken Thighs from Amazon\",\n    \"date\":\"2019-03-24T22:53:23\"\n  },\n  {\n    \"id\":\"purchase_56\",\n    \"desc\":\"I purchased Organic Plain Low Fat Yogurt from Amazon\",\n    \"details\":\"I purchased Organic Plain Low Fat Yogurt from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_57\",\n    \"desc\":\"I purchased Jewel Sweet Potato from Amazon\",\n    \"details\":\"I purchased Jewel Sweet Potato from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_58\",\n    \"desc\":\"I purchased Blueberry Yoghurt from Amazon\",\n    \"details\":\"I purchased Blueberry Yoghurt from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_59\",\n    \"desc\":\"I purchased Vidalia Onion from Amazon\",\n    \"details\":\"I purchased Vidalia Onion from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_60\",\n    \"desc\":\"I purchased Organic Spinach Ricotta Ravioli from Amazon\",\n    \"details\":\"I purchased Organic Spinach Ricotta Ravioli from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_61\",\n    \"desc\":\"I purchased Butternut Squash from Amazon\",\n    \"details\":\"I purchased Butternut Squash from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_62\",\n    \"desc\":\"I purchased Whole Trade Banana from Amazon\",\n    \"details\":\"I purchased Whole Trade Banana from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_63\",\n    \"desc\":\"I purchased Organic Milk from Amazon\",\n    \"details\":\"I purchased Organic Milk from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_64\",\n    \"desc\":\"I purchased Organic Strawberries from Amazon\",\n    \"details\":\"I purchased Organic Strawberries from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_65\",\n    \"desc\":\"I purchased Wild Blueberry Overnight Oats from Amazon\",\n    \"details\":\"I purchased Wild Blueberry Overnight Oats from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_66\",\n    \"desc\":\"I purchased Organic Brown Large Grade A Eggs from Amazon\",\n    \"details\":\"I purchased Organic Brown Large Grade A Eggs from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_67\",\n    \"desc\":\"I purchased Organic Bourbon Whiskey Boneless Chicken Thighs from Amazon\",\n    \"details\":\"I purchased Organic Bourbon Whiskey Boneless Chicken Thighs from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_68\",\n    \"desc\":\"I purchased Supreme Pizza from Amazon\",\n    \"details\":\"I purchased Supreme Pizza from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_69\",\n    \"desc\":\"I purchased Smoked Thick Cut Atlantic Salmon from Amazon\",\n    \"details\":\"I purchased Smoked Thick Cut Atlantic Salmon from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_70\",\n    \"desc\":\"I purchased Bacon Cheddar Beef Burger from Amazon\",\n    \"details\":\"I purchased Bacon Cheddar Beef Burger from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_71\",\n    \"desc\":\"I purchased Cherries from Amazon\",\n    \"details\":\"I purchased Cherries from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_72\",\n    \"desc\":\"I purchased Honey Almond Crunch from Amazon\",\n    \"details\":\"I purchased Honey Almond Crunch from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_73\",\n    \"desc\":\"I purchased Paleo Pancake & Waffle Mix from Amazon\",\n    \"details\":\"I purchased Paleo Pancake & Waffle Mix from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_74\",\n    \"desc\":\"I purchased Orange Cauliflower from Amazon\",\n    \"details\":\"I purchased Orange Cauliflower from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_75\",\n    \"desc\":\"I purchased Organic Berry Blend from Amazon\",\n    \"details\":\"I purchased Organic Berry Blend from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_76\",\n    \"desc\":\"I purchased Whipped Unsalted Butter from Amazon\",\n    \"details\":\"I purchased Whipped Unsalted Butter from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_77\",\n    \"desc\":\"I purchased Pinot Grigio Friuli from Amazon\",\n    \"details\":\"I purchased Pinot Grigio Friuli from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_78\",\n    \"desc\":\"I purchased Organic Boston Butter Lettuce from Amazon\",\n    \"details\":\"I purchased Organic Boston Butter Lettuce from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_79\",\n    \"desc\":\"I purchased Zucchini Squash from Amazon\",\n    \"details\":\"I purchased Zucchini Squash from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_80\",\n    \"desc\":\"I purchased Medium Hass Avocado from Amazon\",\n    \"details\":\"I purchased Medium Hass Avocado from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_81\",\n    \"desc\":\"I purchased Organic Low-Fat Cottage Cheese from Amazon\",\n    \"details\":\"I purchased Organic Low-Fat Cottage Cheese from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_82\",\n    \"desc\":\"I purchased Herring in Cream Sauce from Amazon\",\n    \"details\":\"I purchased Herring in Cream Sauce from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_83\",\n    \"desc\":\"I purchased Organic Baby Gold Beets Bunch from Amazon\",\n    \"details\":\"I purchased Organic Baby Gold Beets Bunch from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_84\",\n    \"desc\":\"I purchased Russet Potato from Amazon\",\n    \"details\":\"I purchased Russet Potato from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_85\",\n    \"desc\":\"I purchased Peach Yoghurt from Amazon\",\n    \"details\":\"I purchased Peach Yoghurt from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_86\",\n    \"desc\":\"I purchased Organic Mango Chunks from Amazon\",\n    \"details\":\"I purchased Organic Mango Chunks from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_87\",\n    \"desc\":\"I purchased Sauvignon Blanc from Amazon\",\n    \"details\":\"I purchased Sauvignon Blanc from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_88\",\n    \"desc\":\"I purchased Organic Brussels Sprouts from Amazon\",\n    \"details\":\"I purchased Organic Brussels Sprouts from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_89\",\n    \"desc\":\"I purchased Sliced Genoa Salami from Amazon\",\n    \"details\":\"I purchased Sliced Genoa Salami from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_90\",\n    \"desc\":\"I purchased Organic Cowboy Boneless Chicken Thighs from Amazon\",\n    \"details\":\"I purchased Organic Cowboy Boneless Chicken Thighs from Amazon\",\n    \"date\":\"2019-03-23T00:10:31\"\n  },\n  {\n    \"id\":\"purchase_91\",\n    \"desc\":\"I purchased Amazon Basics 30% Recycled Multipurpose Copy Printer Paper - 8.5 x 11 Inches, 3 Ream Case (1500 Sheets) from Amazon\",\n    \"details\":\"I purchased Amazon Basics 30% Recycled Multipurpose Copy Printer Paper - 8.5 x 11 Inches, 3 Ream Case (1500 Sheets) from Amazon\",\n    \"date\":\"2019-03-21T19:50:31\"\n  },\n  {\n    \"id\":\"purchase_92\",\n    \"desc\":\"I purchased Pudolla Men's Cotton Yoga Sweatpants Athletic Lounge Pants Open Bottom Casual Jersey Pants for Men with Pockets (Olive Medium) from Amazon\",\n    \"details\":\"I purchased Pudolla Men's Cotton Yoga Sweatpants Athletic Lounge Pants Open Bottom Casual Jersey Pants for Men with Pockets (Olive Medium) from Amazon\",\n    \"date\":\"2019-03-18T05:34:06\"\n  },\n  {\n    \"id\":\"purchase_93\",\n    \"desc\":\"I purchased TERRO T300B Liquid Ant Killer, 12 Bait Stations from Amazon\",\n    \"details\":\"I purchased TERRO T300B Liquid Ant Killer, 12 Bait Stations from Amazon\",\n    \"date\":\"2019-03-13T19:10:03\"\n  },\n  {\n    \"id\":\"purchase_94\",\n    \"desc\":\"I purchased BYD CARE KN95 Respirator, 50 Pieces, Breathable & Comfortable Foldable Safety Mask with Ear Loop for Tight Fit, GB2626 from Amazon\",\n    \"details\":\"I purchased BYD CARE KN95 Respirator, 50 Pieces, Breathable & Comfortable Foldable Safety Mask with Ear Loop for Tight Fit, GB2626 from Amazon\",\n    \"date\":\"2019-03-12T01:19:50\"\n  },\n  {\n    \"id\":\"purchase_95\",\n    \"desc\":\"I purchased Kate Aspen 9 oz. Stemless Wine Glass (Set of 12)| Kitchen Drinking Glass or DIY Party Favor, Clear, One Size, (30009NA-x12) from Amazon\",\n    \"details\":\"I purchased Kate Aspen 9 oz. Stemless Wine Glass (Set of 12)| Kitchen Drinking Glass or DIY Party Favor, Clear, One Size, (30009NA-x12) from Amazon\",\n    \"date\":\"2019-03-06T01:22:33\"\n  },\n  {\n    \"id\":\"purchase_96\",\n    \"desc\":\"I purchased iHealth COVID-19 Antigen Rapid Test, 2 Tests per Pack,FDA EUA Authorized OTC at-Home Self Test, Results in 15 Minutes with Non-invasive Nasal Swab, Ea from Amazon\",\n    \"details\":\"I purchased iHealth COVID-19 Antigen Rapid Test, 2 Tests per Pack,FDA EUA Authorized OTC at-Home Self Test, Results in 15 Minutes with Non-invasive Nasal Swab, Ea from Amazon\",\n    \"date\":\"2019-03-04T20:28:21\"\n  },\n  {\n    \"id\":\"streaming_0\",\n    \"desc\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-30T11:34:59.982000\"\n  },\n  {\n    \"id\":\"streaming_1\",\n    \"desc\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-30T12:24:57.597980\"\n  },\n  {\n    \"id\":\"streaming_2\",\n    \"desc\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-01T18:55:58.781460\"\n  },\n  {\n    \"id\":\"streaming_3\",\n    \"desc\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-05T14:03:56.228030\"\n  },\n  {\n    \"id\":\"streaming_4\",\n    \"desc\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-05T18:14:59.195242\"\n  },\n  {\n    \"id\":\"streaming_5\",\n    \"desc\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-05T19:38:59.996703\"\n  },\n  {\n    \"id\":\"streaming_6\",\n    \"desc\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-05T20:28:57.034859\"\n  },\n  {\n    \"id\":\"streaming_7\",\n    \"desc\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #282 \\u2013 David Buss: Sex, Dating, Relationships, and Sex Differences from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-05T23:20:58.466136\"\n  },\n  {\n    \"id\":\"streaming_8\",\n    \"desc\":\"I listen to #283 \\u2013 Chris Mason: Space Travel, Colonization, and Long-Term Survival in Space from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #283 \\u2013 Chris Mason: Space Travel, Colonization, and Long-Term Survival in Space from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-05T23:45:58.517419\"\n  },\n  {\n    \"id\":\"streaming_9\",\n    \"desc\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-07T02:18:59.548571\"\n  },\n  {\n    \"id\":\"streaming_10\",\n    \"desc\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-09T02:09:59.132590\"\n  },\n  {\n    \"id\":\"streaming_11\",\n    \"desc\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-10T21:31:59.990678\"\n  },\n  {\n    \"id\":\"streaming_12\",\n    \"desc\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-17T15:32:54.334971\"\n  },\n  {\n    \"id\":\"streaming_13\",\n    \"desc\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-19T04:16:53.888978\"\n  },\n  {\n    \"id\":\"streaming_14\",\n    \"desc\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-19T16:50:59.718676\"\n  },\n  {\n    \"id\":\"streaming_15\",\n    \"desc\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #284 \\u2013 Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-19T19:18:58.126081\"\n  },\n  {\n    \"id\":\"streaming_16\",\n    \"desc\":\"I listen to #285 \\u2013 Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #285 \\u2013 Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-20T01:34:52.331822\"\n  },\n  {\n    \"id\":\"streaming_17\",\n    \"desc\":\"I listen to #285 \\u2013 Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #285 \\u2013 Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-22T15:16:54.972476\"\n  },\n  {\n    \"id\":\"streaming_18\",\n    \"desc\":\"I listen to #286 \\u2013 Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #286 \\u2013 Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-22T16:12:59.995290\"\n  },\n  {\n    \"id\":\"streaming_19\",\n    \"desc\":\"I listen to Estelle from Doris Casella on Spotify\",\n    \"details\":\"I listen to Estelle from Doris Casella on Spotify\",\n    \"date\":\"2019-03-02T22:21:59.881629\"\n  },\n  {\n    \"id\":\"streaming_20\",\n    \"desc\":\"I listen to Shizukana from Isshi Matsuriza on Spotify\",\n    \"details\":\"I listen to Shizukana from Isshi Matsuriza on Spotify\",\n    \"date\":\"2019-03-02T22:23:59.868349\"\n  },\n  {\n    \"id\":\"streaming_21\",\n    \"desc\":\"I listen to Un sourire et une larme (valse) from Tom Kristiaan on Spotify\",\n    \"details\":\"I listen to Un sourire et une larme (valse) from Tom Kristiaan on Spotify\",\n    \"date\":\"2019-03-02T22:26:59.854020\"\n  },\n  {\n    \"id\":\"streaming_22\",\n    \"desc\":\"I listen to Hommage d'amiti\\u00e9 from Gunnel Boek on Spotify\",\n    \"details\":\"I listen to Hommage d'amiti\\u00e9 from Gunnel Boek on Spotify\",\n    \"date\":\"2019-03-02T22:28:59.863576\"\n  },\n  {\n    \"id\":\"streaming_23\",\n    \"desc\":\"I listen to Alba from Helmut Schenker on Spotify\",\n    \"details\":\"I listen to Alba from Helmut Schenker on Spotify\",\n    \"date\":\"2019-03-02T22:31:59.847108\"\n  },\n  {\n    \"id\":\"streaming_24\",\n    \"desc\":\"I listen to Hour of Rest from William Cas on Spotify\",\n    \"details\":\"I listen to Hour of Rest from William Cas on Spotify\",\n    \"date\":\"2019-03-02T22:32:59.887473\"\n  },\n  {\n    \"id\":\"streaming_25\",\n    \"desc\":\"I listen to As I Dream from Johannes Bornl\\u00f6f on Spotify\",\n    \"details\":\"I listen to As I Dream from Johannes Bornl\\u00f6f on Spotify\",\n    \"date\":\"2019-03-02T22:37:59.815451\"\n  },\n  {\n    \"id\":\"streaming_26\",\n    \"desc\":\"I listen to Spheroidal from Kalen Elmsley on Spotify\",\n    \"details\":\"I listen to Spheroidal from Kalen Elmsley on Spotify\",\n    \"date\":\"2019-03-02T22:40:59.815890\"\n  },\n  {\n    \"id\":\"streaming_27\",\n    \"desc\":\"I listen to Un Cadeau from Nel Swerts on Spotify\",\n    \"details\":\"I listen to Un Cadeau from Nel Swerts on Spotify\",\n    \"date\":\"2019-03-02T22:43:59.843090\"\n  },\n  {\n    \"id\":\"streaming_28\",\n    \"desc\":\"I listen to A Beautiful Break from Astrid Sky on Spotify\",\n    \"details\":\"I listen to A Beautiful Break from Astrid Sky on Spotify\",\n    \"date\":\"2019-03-02T22:45:59.871498\"\n  },\n  {\n    \"id\":\"streaming_29\",\n    \"desc\":\"I listen to Saying Things from Emanuel Fremont on Spotify\",\n    \"details\":\"I listen to Saying Things from Emanuel Fremont on Spotify\",\n    \"date\":\"2019-03-02T22:47:59.876560\"\n  },\n  {\n    \"id\":\"streaming_30\",\n    \"desc\":\"I listen to Silk from Piano Melancol\\u00eda on Spotify\",\n    \"details\":\"I listen to Silk from Piano Melancol\\u00eda on Spotify\",\n    \"date\":\"2019-03-02T22:51:59.848256\"\n  },\n  {\n    \"id\":\"streaming_31\",\n    \"desc\":\"I listen to Reframe from Norman D\\u00fcck on Spotify\",\n    \"details\":\"I listen to Reframe from Norman D\\u00fcck on Spotify\",\n    \"date\":\"2019-03-02T22:53:59.873100\"\n  },\n  {\n    \"id\":\"streaming_32\",\n    \"desc\":\"I listen to Solace from Armando Bauer on Spotify\",\n    \"details\":\"I listen to Solace from Armando Bauer on Spotify\",\n    \"date\":\"2019-03-02T22:55:59.882765\"\n  },\n  {\n    \"id\":\"streaming_33\",\n    \"desc\":\"I listen to Nowesind from Jacob David on Spotify\",\n    \"details\":\"I listen to Nowesind from Jacob David on Spotify\",\n    \"date\":\"2019-03-02T22:57:59.881052\"\n  },\n  {\n    \"id\":\"streaming_34\",\n    \"desc\":\"I listen to Tr\\u00e4umerei from J\\u00f8rg Sorensen on Spotify\",\n    \"details\":\"I listen to Tr\\u00e4umerei from J\\u00f8rg Sorensen on Spotify\",\n    \"date\":\"2019-03-02T22:59:59.872852\"\n  },\n  {\n    \"id\":\"streaming_35\",\n    \"desc\":\"I listen to Compass from Niwa Nova on Spotify\",\n    \"details\":\"I listen to Compass from Niwa Nova on Spotify\",\n    \"date\":\"2019-03-02T23:02:59.860015\"\n  },\n  {\n    \"id\":\"streaming_36\",\n    \"desc\":\"I listen to When it drizzles from Alva Brunel on Spotify\",\n    \"details\":\"I listen to When it drizzles from Alva Brunel on Spotify\",\n    \"date\":\"2019-03-02T23:06:59.851351\"\n  },\n  {\n    \"id\":\"streaming_37\",\n    \"desc\":\"I listen to Dear Buddy from Cinthya Garcia on Spotify\",\n    \"details\":\"I listen to Dear Buddy from Cinthya Garcia on Spotify\",\n    \"date\":\"2019-03-02T23:08:59.867234\"\n  },\n  {\n    \"id\":\"streaming_38\",\n    \"desc\":\"I listen to Although from Jane Avril on Spotify\",\n    \"details\":\"I listen to Although from Jane Avril on Spotify\",\n    \"date\":\"2019-03-02T23:11:59.820243\"\n  },\n  {\n    \"id\":\"streaming_39\",\n    \"desc\":\"I listen to La Paix Int\\u00e9rieure from Alain Pironi on Spotify\",\n    \"details\":\"I listen to La Paix Int\\u00e9rieure from Alain Pironi on Spotify\",\n    \"date\":\"2019-03-02T23:13:59.873081\"\n  },\n  {\n    \"id\":\"streaming_40\",\n    \"desc\":\"I listen to Mind Like Water from Andreas Monta on Spotify\",\n    \"details\":\"I listen to Mind Like Water from Andreas Monta on Spotify\",\n    \"date\":\"2019-03-02T23:15:59.880230\"\n  },\n  {\n    \"id\":\"streaming_41\",\n    \"desc\":\"I listen to To the Rain from Anna Landstr\\u00f6m on Spotify\",\n    \"details\":\"I listen to To the Rain from Anna Landstr\\u00f6m on Spotify\",\n    \"date\":\"2019-03-02T23:17:59.854515\"\n  },\n  {\n    \"id\":\"streaming_42\",\n    \"desc\":\"I listen to Adesso from Carluccio on Spotify\",\n    \"details\":\"I listen to Adesso from Carluccio on Spotify\",\n    \"date\":\"2019-03-02T23:21:59.853158\"\n  },\n  {\n    \"id\":\"streaming_43\",\n    \"desc\":\"I listen to Pr\\u00e9lude from Olivia Belli on Spotify\",\n    \"details\":\"I listen to Pr\\u00e9lude from Olivia Belli on Spotify\",\n    \"date\":\"2019-03-02T23:24:59.828395\"\n  },\n  {\n    \"id\":\"streaming_44\",\n    \"desc\":\"I listen to Aufgang der Sonne from Ploxxio on Spotify\",\n    \"details\":\"I listen to Aufgang der Sonne from Ploxxio on Spotify\",\n    \"date\":\"2019-03-02T23:27:59.827341\"\n  },\n  {\n    \"id\":\"streaming_45\",\n    \"desc\":\"I listen to The New Life from Lemos on Spotify\",\n    \"details\":\"I listen to The New Life from Lemos on Spotify\",\n    \"date\":\"2019-03-02T23:29:59.861406\"\n  },\n  {\n    \"id\":\"streaming_46\",\n    \"desc\":\"I listen to Coulant from Les R\\u00eaveries on Spotify\",\n    \"details\":\"I listen to Coulant from Les R\\u00eaveries on Spotify\",\n    \"date\":\"2019-03-02T23:32:59.851563\"\n  },\n  {\n    \"id\":\"streaming_47\",\n    \"desc\":\"I listen to our paths crossing from praam on Spotify\",\n    \"details\":\"I listen to our paths crossing from praam on Spotify\",\n    \"date\":\"2019-03-02T23:35:59.894345\"\n  },\n  {\n    \"id\":\"streaming_48\",\n    \"desc\":\"I listen to Horizon from Tamara Eden on Spotify\",\n    \"details\":\"I listen to Horizon from Tamara Eden on Spotify\",\n    \"date\":\"2019-03-02T23:38:59.857403\"\n  },\n  {\n    \"id\":\"streaming_49\",\n    \"desc\":\"I listen to Ruhevoll from Naia Lambert on Spotify\",\n    \"details\":\"I listen to Ruhevoll from Naia Lambert on Spotify\",\n    \"date\":\"2019-03-02T23:40:59.860806\"\n  },\n  {\n    \"id\":\"streaming_50\",\n    \"desc\":\"I listen to Meditabundus from Kellen Chase on Spotify\",\n    \"details\":\"I listen to Meditabundus from Kellen Chase on Spotify\",\n    \"date\":\"2019-03-02T23:42:59.850029\"\n  },\n  {\n    \"id\":\"streaming_51\",\n    \"desc\":\"I listen to vierde moment from antinode on Spotify\",\n    \"details\":\"I listen to vierde moment from antinode on Spotify\",\n    \"date\":\"2019-03-02T23:46:59.799320\"\n  },\n  {\n    \"id\":\"streaming_52\",\n    \"desc\":\"I listen to #286 \\u2013 Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #286 \\u2013 Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-03T19:21:58.176027\"\n  },\n  {\n    \"id\":\"streaming_53\",\n    \"desc\":\"I listen to #286 \\u2013 Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #286 \\u2013 Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-03T22:19:55.579920\"\n  },\n  {\n    \"id\":\"streaming_54\",\n    \"desc\":\"I listen to #285 \\u2013 Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #285 \\u2013 Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-03T22:20:59.997132\"\n  },\n  {\n    \"id\":\"streaming_55\",\n    \"desc\":\"I listen to #286 \\u2013 Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #286 \\u2013 Oliver Stone: Vladimir Putin and War in Ukraine from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-03T22:29:59.510656\"\n  },\n  {\n    \"id\":\"streaming_56\",\n    \"desc\":\"I listen to #299 \\u2013 Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #299 \\u2013 Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-07T02:30:54.715913\"\n  },\n  {\n    \"id\":\"streaming_57\",\n    \"desc\":\"I listen to #299 \\u2013 Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #299 \\u2013 Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-07T14:55:57.454255\"\n  },\n  {\n    \"id\":\"streaming_58\",\n    \"desc\":\"I listen to #300 \\u2013 Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #300 \\u2013 Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-07T15:52:56.634213\"\n  },\n  {\n    \"id\":\"streaming_59\",\n    \"desc\":\"I listen to #300 \\u2013 Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #300 \\u2013 Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-07T20:25:58.992032\"\n  },\n  {\n    \"id\":\"streaming_60\",\n    \"desc\":\"I listen to #300 \\u2013 Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #300 \\u2013 Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-10T16:36:58.526016\"\n  },\n  {\n    \"id\":\"streaming_61\",\n    \"desc\":\"I listen to Part V: The Old Friend from Exit Scam on Spotify\",\n    \"details\":\"I listen to Part V: The Old Friend from Exit Scam on Spotify\",\n    \"date\":\"2019-03-17T15:39:59.999882\"\n  },\n  {\n    \"id\":\"streaming_62\",\n    \"desc\":\"I listen to \\u05e0\\u05e4\\u05d9\\u05dc\\u05ea \\u05d4\\u05e9\\u05de\\u05d0\\u05dc \\u05d4\\u05e6\\u05d9\\u05d5\\u05e0\\u05d9 from \\u05d4\\u05db\\u05d5\\u05ea\\u05e8\\u05ea on Spotify\",\n    \"details\":\"I listen to \\u05e0\\u05e4\\u05d9\\u05dc\\u05ea \\u05d4\\u05e9\\u05de\\u05d0\\u05dc \\u05d4\\u05e6\\u05d9\\u05d5\\u05e0\\u05d9 from \\u05d4\\u05db\\u05d5\\u05ea\\u05e8\\u05ea on Spotify\",\n    \"date\":\"2019-03-17T15:39:58.337319\"\n  },\n  {\n    \"id\":\"streaming_63\",\n    \"desc\":\"I listen to Part V: The Old Friend from Exit Scam on Spotify\",\n    \"details\":\"I listen to Part V: The Old Friend from Exit Scam on Spotify\",\n    \"date\":\"2019-03-23T22:30:59.998840\"\n  },\n  {\n    \"id\":\"streaming_64\",\n    \"desc\":\"I listen to #295 \\u2013 Richard Wolff: Marxism and Communism from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #295 \\u2013 Richard Wolff: Marxism and Communism from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-23T22:57:59.020807\"\n  },\n  {\n    \"id\":\"streaming_65\",\n    \"desc\":\"I listen to #295 \\u2013 Richard Wolff: Marxism and Communism from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #295 \\u2013 Richard Wolff: Marxism and Communism from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-24T02:53:59.999370\"\n  },\n  {\n    \"id\":\"streaming_66\",\n    \"desc\":\"I listen to #301 \\u2013 Jack Barsky: KGB Spy from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #301 \\u2013 Jack Barsky: KGB Spy from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-24T03:47:57.137380\"\n  },\n  {\n    \"id\":\"streaming_67\",\n    \"desc\":\"I listen to #301 \\u2013 Jack Barsky: KGB Spy from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #301 \\u2013 Jack Barsky: KGB Spy from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-24T21:03:57.085293\"\n  },\n  {\n    \"id\":\"streaming_68\",\n    \"desc\":\"I listen to #306 \\u2013 Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #306 \\u2013 Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-28T15:13:55.193621\"\n  },\n  {\n    \"id\":\"streaming_69\",\n    \"desc\":\"I listen to #306 \\u2013 Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #306 \\u2013 Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-29T01:18:58.907601\"\n  },\n  {\n    \"id\":\"streaming_70\",\n    \"desc\":\"I listen to #306 \\u2013 Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #306 \\u2013 Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-29T17:12:58.377812\"\n  },\n  {\n    \"id\":\"streaming_71\",\n    \"desc\":\"I listen to #306 \\u2013 Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #306 \\u2013 Oriol Vinyals: Deep Learning and Artificial General Intelligence from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-29T20:00:59.729921\"\n  },\n  {\n    \"id\":\"streaming_72\",\n    \"desc\":\"I listen to #207 \\u2013 Chris Duffin: The Mad Scientist of Strength from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #207 \\u2013 Chris Duffin: The Mad Scientist of Strength from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-30T00:26:59.587893\"\n  },\n  {\n    \"id\":\"streaming_73\",\n    \"desc\":\"I listen to #207 \\u2013 Chris Duffin: The Mad Scientist of Strength from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #207 \\u2013 Chris Duffin: The Mad Scientist of Strength from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-30T23:57:59.994590\"\n  },\n  {\n    \"id\":\"streaming_74\",\n    \"desc\":\"I listen to #298 \\u2013 Susan Cain: The Power of Introverts and Loneliness from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #298 \\u2013 Susan Cain: The Power of Introverts and Loneliness from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-03-30T00:51:56.797826\"\n  },\n  {\n    \"id\":\"streaming_75\",\n    \"desc\":\"I listen to #298 \\u2013 Susan Cain: The Power of Introverts and Loneliness from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #298 \\u2013 Susan Cain: The Power of Introverts and Loneliness from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-01T20:15:56.262083\"\n  },\n  {\n    \"id\":\"streaming_76\",\n    \"desc\":\"I listen to #298 \\u2013 Susan Cain: The Power of Introverts and Loneliness from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #298 \\u2013 Susan Cain: The Power of Introverts and Loneliness from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-02T03:02:59.791198\"\n  },\n  {\n    \"id\":\"streaming_77\",\n    \"desc\":\"I listen to #299 \\u2013 Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #299 \\u2013 Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-02T14:24:59.994295\"\n  },\n  {\n    \"id\":\"streaming_78\",\n    \"desc\":\"I listen to #277 \\u2013 Andrew Huberman: Focus, Stress, Relationships, and Friendship from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #277 \\u2013 Andrew Huberman: Focus, Stress, Relationships, and Friendship from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-05T18:00:59.997247\"\n  },\n  {\n    \"id\":\"streaming_79\",\n    \"desc\":\"I listen to #299 \\u2013 Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #299 \\u2013 Demis Hassabis: DeepMind from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-05T18:00:59.999478\"\n  },\n  {\n    \"id\":\"streaming_80\",\n    \"desc\":\"I listen to #277 \\u2013 Andrew Huberman: Focus, Stress, Relationships, and Friendship from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #277 \\u2013 Andrew Huberman: Focus, Stress, Relationships, and Friendship from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-05T19:50:56.902858\"\n  },\n  {\n    \"id\":\"streaming_81\",\n    \"desc\":\"I listen to #277 \\u2013 Andrew Huberman: Focus, Stress, Relationships, and Friendship from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #277 \\u2013 Andrew Huberman: Focus, Stress, Relationships, and Friendship from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-05T23:46:55.538729\"\n  },\n  {\n    \"id\":\"streaming_82\",\n    \"desc\":\"I listen to  #309 \\u2013 John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to  #309 \\u2013 John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-08T06:01:57.093682\"\n  },\n  {\n    \"id\":\"streaming_83\",\n    \"desc\":\"I listen to  #309 \\u2013 John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to  #309 \\u2013 John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-08T19:39:57.271936\"\n  },\n  {\n    \"id\":\"streaming_84\",\n    \"desc\":\"I listen to  #309 \\u2013 John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to  #309 \\u2013 John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-08T21:50:58.395412\"\n  },\n  {\n    \"id\":\"streaming_85\",\n    \"desc\":\"I listen to Xanadu from Olivia Newton-John on Spotify\",\n    \"details\":\"I listen to Xanadu from Olivia Newton-John on Spotify\",\n    \"date\":\"2019-04-09T17:42:59.791494\"\n  },\n  {\n    \"id\":\"streaming_86\",\n    \"desc\":\"I listen to Carried Away - Alternate Mix \\/ Remastered 2021 from Olivia Newton-John on Spotify\",\n    \"details\":\"I listen to Carried Away - Alternate Mix \\/ Remastered 2021 from Olivia Newton-John on Spotify\",\n    \"date\":\"2019-04-09T17:46:59.773902\"\n  },\n  {\n    \"id\":\"streaming_87\",\n    \"desc\":\"I listen to Physical - Remastered 2021 from Olivia Newton-John on Spotify\",\n    \"details\":\"I listen to Physical - Remastered 2021 from Olivia Newton-John on Spotify\",\n    \"date\":\"2019-04-09T17:50:59.774008\"\n  },\n  {\n    \"id\":\"streaming_88\",\n    \"desc\":\"I listen to Shaking You - Remastered 2021 from Olivia Newton-John on Spotify\",\n    \"details\":\"I listen to Shaking You - Remastered 2021 from Olivia Newton-John on Spotify\",\n    \"date\":\"2019-04-09T17:54:59.743864\"\n  },\n  {\n    \"id\":\"streaming_89\",\n    \"desc\":\"I listen to I Love You, I Honestly Love You from Olivia Newton-John on Spotify\",\n    \"details\":\"I listen to I Love You, I Honestly Love You from Olivia Newton-John on Spotify\",\n    \"date\":\"2019-04-09T17:58:59.779667\"\n  },\n  {\n    \"id\":\"streaming_90\",\n    \"desc\":\"I listen to Carried Away - Remastered 2021 from Olivia Newton-John on Spotify\",\n    \"details\":\"I listen to Carried Away - Remastered 2021 from Olivia Newton-John on Spotify\",\n    \"date\":\"2019-04-09T18:02:59.774126\"\n  },\n  {\n    \"id\":\"streaming_91\",\n    \"desc\":\"I listen to Have You Never Been Mellow from Olivia Newton-John on Spotify\",\n    \"details\":\"I listen to Have You Never Been Mellow from Olivia Newton-John on Spotify\",\n    \"date\":\"2019-04-09T18:05:59.786467\"\n  },\n  {\n    \"id\":\"streaming_92\",\n    \"desc\":\"I listen to Livin' In Desperate Times - Extended Version \\/ Remastered 2021 from Olivia Newton-John on Spotify\",\n    \"details\":\"I listen to Livin' In Desperate Times - Extended Version \\/ Remastered 2021 from Olivia Newton-John on Spotify\",\n    \"date\":\"2019-04-09T18:12:59.598201\"\n  },\n  {\n    \"id\":\"streaming_93\",\n    \"desc\":\"I listen to You're The One That I Want - From \\u201cGrease\\u201d from John Travolta on Spotify\",\n    \"details\":\"I listen to You're The One That I Want - From \\u201cGrease\\u201d from John Travolta on Spotify\",\n    \"date\":\"2019-04-10T03:44:59.830160\"\n  },\n  {\n    \"id\":\"streaming_94\",\n    \"desc\":\"I listen to Goodbye Girl from David Gates on Spotify\",\n    \"details\":\"I listen to Goodbye Girl from David Gates on Spotify\",\n    \"date\":\"2019-04-10T03:47:59.831134\"\n  },\n  {\n    \"id\":\"streaming_95\",\n    \"desc\":\"I listen to Two In Love from Michael Johnson on Spotify\",\n    \"details\":\"I listen to Two In Love from Michael Johnson on Spotify\",\n    \"date\":\"2019-04-10T03:50:59.821534\"\n  },\n  {\n    \"id\":\"streaming_96\",\n    \"desc\":\"I listen to When You Wish Upon a Star from Stephen Bishop on Spotify\",\n    \"details\":\"I listen to When You Wish Upon a Star from Stephen Bishop on Spotify\",\n    \"date\":\"2019-04-10T03:53:59.799840\"\n  },\n  {\n    \"id\":\"streaming_97\",\n    \"desc\":\"I listen to Try To Make It True from Quarterflash on Spotify\",\n    \"details\":\"I listen to Try To Make It True from Quarterflash on Spotify\",\n    \"date\":\"2019-04-10T03:57:59.781467\"\n  },\n  {\n    \"id\":\"streaming_98\",\n    \"desc\":\"I listen to Willpower from Taylor Dayne on Spotify\",\n    \"details\":\"I listen to Willpower from Taylor Dayne on Spotify\",\n    \"date\":\"2019-04-10T03:58:59.960589\"\n  },\n  {\n    \"id\":\"streaming_99\",\n    \"desc\":\"I listen to Willpower from Taylor Dayne on Spotify\",\n    \"details\":\"I listen to Willpower from Taylor Dayne on Spotify\",\n    \"date\":\"2019-04-10T18:59:59.809853\"\n  },\n  {\n    \"id\":\"streaming_100\",\n    \"desc\":\"I listen to If You Ever Change Your Mind from Crystal Gayle on Spotify\",\n    \"details\":\"I listen to If You Ever Change Your Mind from Crystal Gayle on Spotify\",\n    \"date\":\"2019-04-10T19:02:59.805534\"\n  },\n  {\n    \"id\":\"streaming_101\",\n    \"desc\":\"I listen to #290 \\u2013 Dan Reynolds: Imagine Dragons from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #290 \\u2013 Dan Reynolds: Imagine Dragons from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-11T00:02:53.600471\"\n  },\n  {\n    \"id\":\"streaming_102\",\n    \"desc\":\"I listen to #290 \\u2013 Dan Reynolds: Imagine Dragons from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #290 \\u2013 Dan Reynolds: Imagine Dragons from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-11T00:39:58.542013\"\n  },\n  {\n    \"id\":\"streaming_103\",\n    \"desc\":\"I listen to #291 \\u2013 Jonathan Haidt: The Case Against Social Media from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #291 \\u2013 Jonathan Haidt: The Case Against Social Media from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-11T15:29:56.176277\"\n  },\n  {\n    \"id\":\"streaming_104\",\n    \"desc\":\"I listen to #291 \\u2013 Jonathan Haidt: The Case Against Social Media from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #291 \\u2013 Jonathan Haidt: The Case Against Social Media from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-12T19:54:57.706751\"\n  },\n  {\n    \"id\":\"streaming_105\",\n    \"desc\":\"I listen to #292 \\u2013 Robin Hanson: Alien Civilizations, UFOs, and the Future of Humanity from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #292 \\u2013 Robin Hanson: Alien Civilizations, UFOs, and the Future of Humanity from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-12T20:10:59.420645\"\n  },\n  {\n    \"id\":\"streaming_106\",\n    \"desc\":\"I listen to  #309 \\u2013 John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to  #309 \\u2013 John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-13T18:46:55.390590\"\n  },\n  {\n    \"id\":\"streaming_107\",\n    \"desc\":\"I listen to  #309 \\u2013 John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to  #309 \\u2013 John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-13T22:38:56.433995\"\n  },\n  {\n    \"id\":\"streaming_108\",\n    \"desc\":\"I listen to #310 \\u2013 Andrew Bustamante: CIA Spy from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to #310 \\u2013 Andrew Bustamante: CIA Spy from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-14T17:20:59.995757\"\n  },\n  {\n    \"id\":\"streaming_109\",\n    \"desc\":\"I listen to  #309 \\u2013 John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\n    \"details\":\"I listen to  #309 \\u2013 John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets from Lex Fridman Podcast on Spotify\",\n    \"date\":\"2019-04-14T17:20:56.584921\"\n  },\n  {\n    \"id\":\"trips_0\",\n    \"desc\":\"Here's a summary of the trip: You have been to South Korea, Seoul, Seocho-gu, Jung-gu, Gwanak-gu, Yeongdeungpo-gu, and Unseo-dong. You have visited the Incheon International Airport Terminal 1, Seoul National University Gwanak Campus, Bangbae-ro, and Yangpyeong-ro 28da-gil.\",\n    \"details\":\"Here's a summary of the trip: You have been to South Korea, Seoul, Seocho-gu, Jung-gu, Gwanak-gu, Yeongdeungpo-gu, and Unseo-dong. You have visited the Incheon International Airport Terminal 1, Seoul National University Gwanak Campus, Bangbae-ro, and Yangpyeong-ro 28da-gil.\",\n    \"date\":\"2019-03-27 11:42:43+09:00\"\n  },\n  {\n    \"id\":\"trips_1\",\n    \"desc\":\"Here's a summary of the trip: Japan: Tokyo (Minato, Bunkyo, Meguro, Sanmu, Chiba Prefecture), Roppongi Hills, Tokyo Prince Hotel, Asahi Shokudo, University of Tokyo (Hongo Campus), \\u4e2d\\u91cc\\u6a4b, Roppongi Hills Mori Tower, 191L, Grand Hyatt Tokyo.\",\n    \"details\":\"Here's a summary of the trip: Japan: Tokyo (Minato, Bunkyo, Meguro, Sanmu, Chiba Prefecture), Roppongi Hills, Tokyo Prince Hotel, Asahi Shokudo, University of Tokyo (Hongo Campus), \\u4e2d\\u91cc\\u6a4b, Roppongi Hills Mori Tower, 191L, Grand Hyatt Tokyo.\",\n    \"date\":\"2019-03-28 20:38:13+09:00\"\n  },\n  {\n    \"id\":\"trips_2\",\n    \"desc\":\"Here's a summary of the trip: Taiwan: Taipei (City Hall Rd., Dongmen Village, Huashan, Longtsakoo, Xingya, Xinyi Commercial Zone, Zhongzheng District, Zhongxiao East Road Section 2), Xinyi District (Chezeng, Liuhe Village, Sanli Village, Xinglong Village), Jinshan North Road.\\n\\nPlaces: Liberty Square, Democracy Boulevard, Dongmen Village, Chiang Kai-shek Memorial Hall, Cama Cafe, Xiangshan Tunnel, Six Boulders Photographing Platform, Sun Yat-sen Memorial Hall, Bigtom\\u7f8e\\u570b\\u51b0\\u6dc7\\u6dcb\\u5496\\u5561\\u9928, 101\\u5854\\u6a131\\u865f\\u651d\\u5f71\\u5e73\\u53f0, \\u6960\\u6960\\u76f8\\u671b, \\u8c61\\u5c71\\u81ea\\u7136\\u6b65\\u9053, \\u8c61\\u5c71\\u89aa\\u5c71\\u6b65\\u9053\\u6c38\\u6625\\u4ead\\u7dda, \\u8c61\\u5c71\\u89aa\\u5c71\\u6b65\\u9053\\u4e3b\\u7dda(\\u7a1c\\u7dda), \\u6885\\u82b1\",\n    \"details\":\"Here's a summary of the trip: Taiwan: Taipei (City Hall Rd., Dongmen Village, Huashan, Longtsakoo, Xingya, Xinyi Commercial Zone, Zhongzheng District, Zhongxiao East Road Section 2), Xinyi District (Chezeng, Liuhe Village, Sanli Village, Xinglong Village), Jinshan North Road.\\n\\nPlaces: Liberty Square, Democracy Boulevard, Dongmen Village, Chiang Kai-shek Memorial Hall, Cama Cafe, Xiangshan Tunnel, Six Boulders Photographing Platform, Sun Yat-sen Memorial Hall, Bigtom\\u7f8e\\u570b\\u51b0\\u6dc7\\u6dcb\\u5496\\u5561\\u9928, 101\\u5854\\u6a131\\u865f\\u651d\\u5f71\\u5e73\\u53f0, \\u6960\\u6960\\u76f8\\u671b, \\u8c61\\u5c71\\u81ea\\u7136\\u6b65\\u9053, \\u8c61\\u5c71\\u89aa\\u5c71\\u6b65\\u9053\\u6c38\\u6625\\u4ead\\u7dda, \\u8c61\\u5c71\\u89aa\\u5c71\\u6b65\\u9053\\u4e3b\\u7dda(\\u7a1c\\u7dda), \\u6885\\u82b1\",\n    \"date\":\"2019-03-31 10:51:04+08:00\"\n  },\n  {\n    \"id\":\"trips_3\",\n    \"desc\":\"Here's a summary of the trip: You have been to Canada, British Columbia, Vancouver, Gastown, Downtown, Canada Place, Seawall, Jack Poole Plaza, West Waterfront Road, West Cordova Street, Fairmont Pacific Rim, and Shaw Tower.\",\n    \"details\":\"Here's a summary of the trip: You have been to Canada, British Columbia, Vancouver, Gastown, Downtown, Canada Place, Seawall, Jack Poole Plaza, West Waterfront Road, West Cordova Street, Fairmont Pacific Rim, and Shaw Tower.\",\n    \"date\":\"2019-04-14 19:19:06-07:00\"\n  },\n  {\n    \"id\":\"trips_4\",\n    \"desc\":\"Here's a summary of the trip: You have been to the United States (Arizona and Utah), Coconino County and Yavapai County in Arizona, Sedona City Limit in Arizona, Grand Canyon Village, Bitter Springs, Western Navajo Agency, Wahweap, Oak Creek Dev No. 1, Southwest Center, Garfield County in Utah, and Tropic in Garfield County in Utah. You have visited places such as Mather Point Amphitheatre, Airport Mesa Viewpoint, Lake Powell Resort, Sedona View Trail, Sedona Airport Overlook, AZ 89A, Brewer Trail, Navajo Viewpoint, Mather Point, Airport Loop Trail, Rim Trail, US 89, Casa Sedona Inn, UT-12, Yavapai East 7451-7483, Yavapai Geology Museum, Yavapai Point, 1.5 Mile Resthouse, Grand Canyon, Sedona Airport, 2 Emblem Place, and Crusty.\",\n    \"details\":\"Here's a summary of the trip: You have been to the United States (Arizona and Utah), Coconino County and Yavapai County in Arizona, Sedona City Limit in Arizona, Grand Canyon Village, Bitter Springs, Western Navajo Agency, Wahweap, Oak Creek Dev No. 1, Southwest Center, Garfield County in Utah, and Tropic in Garfield County in Utah. You have visited places such as Mather Point Amphitheatre, Airport Mesa Viewpoint, Lake Powell Resort, Sedona View Trail, Sedona Airport Overlook, AZ 89A, Brewer Trail, Navajo Viewpoint, Mather Point, Airport Loop Trail, Rim Trail, US 89, Casa Sedona Inn, UT-12, Yavapai East 7451-7483, Yavapai Geology Museum, Yavapai Point, 1.5 Mile Resthouse, Grand Canyon, Sedona Airport, 2 Emblem Place, and Crusty.\",\n    \"date\":\"2019-04-24 18:32:53-07:00\"\n  },\n  {\n    \"id\":\"trips_5\",\n    \"desc\":\"Here's a summary of the trip: You have been to the United States in the states of Utah and Arizona. You have visited the cities\\/towns of Tropic, Utah and the places Navajo Loop Trailhead, Sunset Point, Sunrise Point, Rim Trail, and Queen's Garden Trail.\",\n    \"details\":\"Here's a summary of the trip: You have been to the United States in the states of Utah and Arizona. You have visited the cities\\/towns of Tropic, Utah and the places Navajo Loop Trailhead, Sunset Point, Sunrise Point, Rim Trail, and Queen's Garden Trail.\",\n    \"date\":\"2019-04-27 17:37:11-06:00\"\n  }\n]"
  },
  {
    "path": "sample_data/exercise.sampled.csv",
    "content": "start_time,end_time,textDescription,duration,distance,calories,outdoor,temperature,id\n2019-03-02 08:00:34-08:00,2019-03-02 08:39:59 -0800,08:00: running 39 minutes ,39.40743217468262,0,0,1,,exercise_35\n2019-03-05 06:55:11-08:00,2019-03-05 07:20:49 -0800,06:55: running 25 minutes ,25.63550810019175,0,0,1,50 degF,exercise_36\n2019-03-07 08:32:33-08:00,2019-03-07 09:12:59 -0800,08:32: running 40 minutes ,40.43619398673376,0,0,1,51 degF,exercise_37\n2019-03-09 07:27:37-08:00,2019-03-09 08:19:08 -0800,07:27: running 51 minutes ,51.52546683152516,0,0,1,45 degF,exercise_38\n2019-03-11 06:49:09-07:00,2019-03-11 07:41:49 -0800,06:49: running 52 minutes ,52.65584560831388,0,0,1,40 degF,exercise_39\n2019-03-13 07:22:20-07:00,2019-03-13 08:03:07 -0800,07:22: running 40 minutes ,40.79556675155958,0,0,1,43 degF,exercise_40\n2019-03-15 06:31:18-07:00,2019-03-15 07:30:34 -0800,06:31: running 59 minutes ,59.27064216732979,0,0,1,41 degF,exercise_41\n2019-03-17 07:11:09-07:00,2019-03-17 07:38:33 -0800,07:11: running 27 minutes ,27.39419144789378,0,0,1,46 degF,exercise_42\n2019-03-18 05:29:42-07:00,2019-03-18 05:57:39 -0800,05:29: running 27 minutes ,27.95481205582619,0,0,1,48 degF,exercise_43\n2019-03-19 06:34:16-07:00,2019-03-19 07:28:26 -0800,06:34: running 54 minutes ,54.16489023367564,0,0,1,50 degF,exercise_44\n2019-03-21 07:19:26-07:00,2019-03-21 08:02:28 -0800,07:19: running 43 minutes ,43.04586925506592,0,0,1,45 degF,exercise_45\n2019-03-23 09:49:54-07:00,2019-03-23 10:41:13 -0800,09:49: running 51 minutes ,51.31122816205025,0,0,1,57 degF,exercise_46\n2019-03-25 06:57:57-07:00,2019-03-25 07:23:14 -0800,06:57: running 25 minutes ,25.27344850301743,0,0,1,52 degF,exercise_47\n2019-03-26 13:16:14-07:00,2019-03-26 13:41:46 -0800,13:16: running 25 minutes ,25.54592136542002,0,0,1,,exercise_48\n2019-03-28 14:32:20-07:00,2019-03-28 14:57:21 -0800,14:32: running 25 minutes ,25.01336705287298,0,0,0,,exercise_49\n2019-03-29 14:03:32-07:00,2019-03-29 14:29:34 -0800,14:03: running 26 minutes ,26.03740899364153,0,0,1,,exercise_50\n2019-03-30 15:42:25-07:00,2019-03-30 16:07:08 -0800,15:42: running 24 minutes ,24.72331875363986,0,0,1,68 degF,exercise_51\n2019-04-01 06:48:07+08:00,2019-03-31 16:12:30 -0800,06:48: running 24 minutes ,24.38389844497045,0,0,1,62 degF,exercise_52\n2019-04-04 00:32:10+08:00,2019-04-03 10:13:36 -0800,00:32: running 41 minutes ,41.42328868508339,0,0,1,59 degF,exercise_53\n2019-04-05 06:15:21-07:00,2019-04-05 06:56:13 -0800,06:15: running 40 minutes ,40.86001750230789,0,0,1,55 degF,exercise_54\n2019-04-07 06:38:31-07:00,2019-04-07 07:30:10 -0800,06:38: running 51 minutes ,51.63496332168579,0,0,1,55 degF,exercise_55\n2019-04-08 06:27:28-07:00,2019-04-08 07:06:51 -0800,06:27: running 39 minutes ,39.39064629475276,0,0,1,55 degF,exercise_56\n2019-04-10 15:25:29-07:00,2019-04-10 15:50:08 -0800,15:25: running 24 minutes ,24.64575079480807,0,0,1,70 degF,exercise_57\n2019-04-12 07:25:13-07:00,2019-04-12 09:17:34 -0800,07:25: running 112 minutes ,112.3511503656705,0,0,1,53 degF,exercise_58\n2019-04-15 05:57:30-07:00,2019-04-15 06:24:29 -0800,05:57: running 26 minutes ,26.98381932179133,0,0,1,,exercise_59\n2019-04-16 05:18:50-07:00,2019-04-16 05:46:39 -0800,05:18: running 27 minutes ,27.81041564941406,0,0,1,,exercise_60\n2019-04-18 05:12:15-07:00,2019-04-18 05:37:18 -0800,05:12: running 25 minutes ,25.04186778465907,0,0,1,,exercise_61\n2019-04-19 05:58:01-07:00,2019-04-19 06:23:26 -0800,05:58: running 25 minutes ,25.41067400972048,0,0,1,,exercise_62\n2019-04-21 11:14:15-07:00,2019-04-21 11:56:01 -0800,11:14: running 41 minutes ,41.76977163354556,0,0,1,67 degF,exercise_63\n2019-04-23 07:56:33-07:00,2019-04-23 08:38:30 -0800,07:56: running 41 minutes ,41.96485076149305,0,0,1,61 degF,exercise_64\n2019-04-24 07:27:16-07:00,2019-04-24 07:56:08 -0800,07:27: walking 28 minutes ,28.85817079742749,0,0,1,68 degF,exercise_65\n2019-04-29 08:43:36-07:00,2019-04-29 09:35:44 -0800,08:43: running 52 minutes ,52.13167618115743,0,0,1,59 degF,exercise_66\n"
  },
  {
    "path": "sample_data/exercise.sampled.json",
    "content": "[\n  {\n    \"start_time\":\"2019-03-02 08:00:34-08:00\",\n    \"end_time\":\"2019-03-02 08:39:59 -0800\",\n    \"textDescription\":\"08:00: running 39 minutes \",\n    \"duration\":39.4074321747,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":null,\n    \"id\":\"exercise_35\"\n  },\n  {\n    \"start_time\":\"2019-03-05 06:55:11-08:00\",\n    \"end_time\":\"2019-03-05 07:20:49 -0800\",\n    \"textDescription\":\"06:55: running 25 minutes \",\n    \"duration\":25.6355081002,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"50 degF\",\n    \"id\":\"exercise_36\"\n  },\n  {\n    \"start_time\":\"2019-03-07 08:32:33-08:00\",\n    \"end_time\":\"2019-03-07 09:12:59 -0800\",\n    \"textDescription\":\"08:32: running 40 minutes \",\n    \"duration\":40.4361939867,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"51 degF\",\n    \"id\":\"exercise_37\"\n  },\n  {\n    \"start_time\":\"2019-03-09 07:27:37-08:00\",\n    \"end_time\":\"2019-03-09 08:19:08 -0800\",\n    \"textDescription\":\"07:27: running 51 minutes \",\n    \"duration\":51.5254668315,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"45 degF\",\n    \"id\":\"exercise_38\"\n  },\n  {\n    \"start_time\":\"2019-03-11 06:49:09-07:00\",\n    \"end_time\":\"2019-03-11 07:41:49 -0800\",\n    \"textDescription\":\"06:49: running 52 minutes \",\n    \"duration\":52.6558456083,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"40 degF\",\n    \"id\":\"exercise_39\"\n  },\n  {\n    \"start_time\":\"2019-03-13 07:22:20-07:00\",\n    \"end_time\":\"2019-03-13 08:03:07 -0800\",\n    \"textDescription\":\"07:22: running 40 minutes \",\n    \"duration\":40.7955667516,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"43 degF\",\n    \"id\":\"exercise_40\"\n  },\n  {\n    \"start_time\":\"2019-03-15 06:31:18-07:00\",\n    \"end_time\":\"2019-03-15 07:30:34 -0800\",\n    \"textDescription\":\"06:31: running 59 minutes \",\n    \"duration\":59.2706421673,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"41 degF\",\n    \"id\":\"exercise_41\"\n  },\n  {\n    \"start_time\":\"2019-03-17 07:11:09-07:00\",\n    \"end_time\":\"2019-03-17 07:38:33 -0800\",\n    \"textDescription\":\"07:11: running 27 minutes \",\n    \"duration\":27.3941914479,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"46 degF\",\n    \"id\":\"exercise_42\"\n  },\n  {\n    \"start_time\":\"2019-03-18 05:29:42-07:00\",\n    \"end_time\":\"2019-03-18 05:57:39 -0800\",\n    \"textDescription\":\"05:29: running 27 minutes \",\n    \"duration\":27.9548120558,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"48 degF\",\n    \"id\":\"exercise_43\"\n  },\n  {\n    \"start_time\":\"2019-03-19 06:34:16-07:00\",\n    \"end_time\":\"2019-03-19 07:28:26 -0800\",\n    \"textDescription\":\"06:34: running 54 minutes \",\n    \"duration\":54.1648902337,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"50 degF\",\n    \"id\":\"exercise_44\"\n  },\n  {\n    \"start_time\":\"2019-03-21 07:19:26-07:00\",\n    \"end_time\":\"2019-03-21 08:02:28 -0800\",\n    \"textDescription\":\"07:19: running 43 minutes \",\n    \"duration\":43.0458692551,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"45 degF\",\n    \"id\":\"exercise_45\"\n  },\n  {\n    \"start_time\":\"2019-03-23 09:49:54-07:00\",\n    \"end_time\":\"2019-03-23 10:41:13 -0800\",\n    \"textDescription\":\"09:49: running 51 minutes \",\n    \"duration\":51.3112281621,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"57 degF\",\n    \"id\":\"exercise_46\"\n  },\n  {\n    \"start_time\":\"2019-03-25 06:57:57-07:00\",\n    \"end_time\":\"2019-03-25 07:23:14 -0800\",\n    \"textDescription\":\"06:57: running 25 minutes \",\n    \"duration\":25.273448503,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"52 degF\",\n    \"id\":\"exercise_47\"\n  },\n  {\n    \"start_time\":\"2019-03-26 13:16:14-07:00\",\n    \"end_time\":\"2019-03-26 13:41:46 -0800\",\n    \"textDescription\":\"13:16: running 25 minutes \",\n    \"duration\":25.5459213654,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":null,\n    \"id\":\"exercise_48\"\n  },\n  {\n    \"start_time\":\"2019-03-28 14:32:20-07:00\",\n    \"end_time\":\"2019-03-28 14:57:21 -0800\",\n    \"textDescription\":\"14:32: running 25 minutes \",\n    \"duration\":25.0133670529,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":0,\n    \"temperature\":null,\n    \"id\":\"exercise_49\"\n  },\n  {\n    \"start_time\":\"2019-03-29 14:03:32-07:00\",\n    \"end_time\":\"2019-03-29 14:29:34 -0800\",\n    \"textDescription\":\"14:03: running 26 minutes \",\n    \"duration\":26.0374089936,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":null,\n    \"id\":\"exercise_50\"\n  },\n  {\n    \"start_time\":\"2019-03-30 15:42:25-07:00\",\n    \"end_time\":\"2019-03-30 16:07:08 -0800\",\n    \"textDescription\":\"15:42: running 24 minutes \",\n    \"duration\":24.7233187536,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"68 degF\",\n    \"id\":\"exercise_51\"\n  },\n  {\n    \"start_time\":\"2019-04-01 06:48:07+08:00\",\n    \"end_time\":\"2019-03-31 16:12:30 -0800\",\n    \"textDescription\":\"06:48: running 24 minutes \",\n    \"duration\":24.383898445,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"62 degF\",\n    \"id\":\"exercise_52\"\n  },\n  {\n    \"start_time\":\"2019-04-04 00:32:10+08:00\",\n    \"end_time\":\"2019-04-03 10:13:36 -0800\",\n    \"textDescription\":\"00:32: running 41 minutes \",\n    \"duration\":41.4232886851,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"59 degF\",\n    \"id\":\"exercise_53\"\n  },\n  {\n    \"start_time\":\"2019-04-05 06:15:21-07:00\",\n    \"end_time\":\"2019-04-05 06:56:13 -0800\",\n    \"textDescription\":\"06:15: running 40 minutes \",\n    \"duration\":40.8600175023,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"55 degF\",\n    \"id\":\"exercise_54\"\n  },\n  {\n    \"start_time\":\"2019-04-07 06:38:31-07:00\",\n    \"end_time\":\"2019-04-07 07:30:10 -0800\",\n    \"textDescription\":\"06:38: running 51 minutes \",\n    \"duration\":51.6349633217,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"55 degF\",\n    \"id\":\"exercise_55\"\n  },\n  {\n    \"start_time\":\"2019-04-08 06:27:28-07:00\",\n    \"end_time\":\"2019-04-08 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\"textDescription\":\"05:57: running 26 minutes \",\n    \"duration\":26.9838193218,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":null,\n    \"id\":\"exercise_59\"\n  },\n  {\n    \"start_time\":\"2019-04-16 05:18:50-07:00\",\n    \"end_time\":\"2019-04-16 05:46:39 -0800\",\n    \"textDescription\":\"05:18: running 27 minutes \",\n    \"duration\":27.8104156494,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":null,\n    \"id\":\"exercise_60\"\n  },\n  {\n    \"start_time\":\"2019-04-18 05:12:15-07:00\",\n    \"end_time\":\"2019-04-18 05:37:18 -0800\",\n    \"textDescription\":\"05:12: running 25 minutes \",\n    \"duration\":25.0418677847,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":null,\n    \"id\":\"exercise_61\"\n  },\n  {\n    \"start_time\":\"2019-04-19 05:58:01-07:00\",\n    \"end_time\":\"2019-04-19 06:23:26 -0800\",\n    \"textDescription\":\"05:58: running 25 minutes \",\n    \"duration\":25.4106740097,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":null,\n    \"id\":\"exercise_62\"\n  },\n  {\n    \"start_time\":\"2019-04-21 11:14:15-07:00\",\n    \"end_time\":\"2019-04-21 11:56:01 -0800\",\n    \"textDescription\":\"11:14: running 41 minutes \",\n    \"duration\":41.7697716335,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"67 degF\",\n    \"id\":\"exercise_63\"\n  },\n  {\n    \"start_time\":\"2019-04-23 07:56:33-07:00\",\n    \"end_time\":\"2019-04-23 08:38:30 -0800\",\n    \"textDescription\":\"07:56: running 41 minutes \",\n    \"duration\":41.9648507615,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"61 degF\",\n    \"id\":\"exercise_64\"\n  },\n  {\n    \"start_time\":\"2019-04-24 07:27:16-07:00\",\n    \"end_time\":\"2019-04-24 07:56:08 -0800\",\n    \"textDescription\":\"07:27: walking 28 minutes \",\n    \"duration\":28.8581707974,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"68 degF\",\n    \"id\":\"exercise_65\"\n  },\n  {\n    \"start_time\":\"2019-04-29 08:43:36-07:00\",\n    \"end_time\":\"2019-04-29 09:35:44 -0800\",\n    \"textDescription\":\"08:43: running 52 minutes \",\n    \"duration\":52.1316761812,\n    \"distance\":0,\n    \"calories\":0,\n    \"outdoor\":1,\n    \"temperature\":\"59 degF\",\n    \"id\":\"exercise_66\"\n  }\n]"
  },
  {
    "path": "sample_data/photos.sampled.csv",
    "content": ",Unnamed: 0,start_time,end_time,textDescription,address,lat,long,details,img_url,id\n0,0,2019-04-18 00:01:26+00:00,2019-04-18 00:01:26+00:00,\"\"\"Taking the stage.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Performance', 'Performing arts', 'Musical Performance Sports', 'Modern dance', 'Public speaking', 'performer, performing artist', 'stage', 'auditorium', 'broadcasting', 'kanzu'], 'places': ['performance arena', 'indoor stage', 'auditorium', 'outdoor stage', 'television studio'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/0566797F-A10A-46EB-BDAD-59C01F19EBD9.jpg.compressed.jpg,photos_0\n1,1,2019-03-31 06:58:44+00:00,2019-03-31 06:58:44+00:00,Freshly-baked egg tarts!,Soul Buoy,0.0,0.0,\"{'objects': ['Egg tart', 'Custard tart', 'Portuguese food', 'Pâtisserie', 'Natillas', 'baked goods', 'Madeira', 'patisserie', 'pastry, pastry dough', 'bite, collation, snack'], 'places': ['shop bakery', 'delicatessen', 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'overlook', 'canyon, canon', 'moraine', 'precipice', 'butte'], 'places': ['canyon', 'butte', 'crevasse', 'valley', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/F35BC31C-7BB0-447B-8E21-7A2ACEF826D0.jpg.compressed.jpg,photos_3\n4,4,2019-03-03 07:41:47-08:00,2019-03-03 07:41:47-08:00,\"\"\"New outfit, here I come!\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,\"{'objects': ['Receipt', 'Wristband', 'Active shirt', 'Coupon', 'Cargo pants', 'bill, peak, eyeshade, visor, vizor', 'grab bag', 'polo shirt, sport shirt', 'checkout, checkout counter', 'safety belt, life belt, safety harness'], 'places': ['clothing store', 'hardware store', 'exterior gazebo', 'fabric store', 'pet shop'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6900.HEIC.compressed.jpg,photos_4\n5,5,2019-03-03 07:42:11-08:00,2019-03-03 07:42:11-08:00,\"\"\"Booked and paid!\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03755147425116,-101.90860432341586,\"{'objects': ['Receipt', 'Coupon', 'Voucher', 'Ticket', 'Invoice', 'cowboy hat, ten-gallon hat', 'book', 'paper', 'cowboy boot', 'windfall'], 'places': ['bookstore', 'outdoor inn', 'restaurant', 'outdoor diner', 'stable'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6901.HEIC.compressed.jpg,photos_5\n6,6,2019-03-03 07:42:35-08:00,2019-03-03 07:42:35-08:00,\"\"\"Filling a prescription.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,\"{'objects': ['Prescription drug', 'Antifungal medication', 'Medicine', 'Pharmaceutical drug', 'Medicine chest', 'pill bottle', 'packet', 'vitamin B12, cobalamin, cyanocobalamin, antipernicious anemia factor', 'vitamin B6, pyridoxine, pyridoxal, pyridoxamine, adermin', 'multivitamin, multivitamin pill'], 'places': ['pharmacy', 'drugstore', 'hospital room', 'hospital', 'waiting room'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6902.HEIC.compressed.jpg,photos_6\n7,7,2019-03-05 19:36:00-08:00,2019-03-05 19:36:00-08:00,\"\"\"Exploring new possibilities.\"\"\",\"Bikepark, Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",35.01791849861497,-101.9167301640701,\"{'objects': ['Boy scouts of america', 'Eagle scout', 'Girl scouts of the usa', 'Jamboree', 'Scout', 'Cub Scout', 'Boy Scout', 'boy scout', 'service club', 'assembly'], 'places': ['recreation room', 'classroom', 'indoor museum', 'waiting room', 'lecture room'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6907.HEIC.compressed.jpg,photos_7\n8,8,2019-03-06 19:46:40-08:00,2019-03-06 19:46:40-08:00,\"\"\"A Home for Every Family\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,\"{'objects': ['Real estate', 'Non-fiction', 'Photo caption', 'Plan', 'Text', 'planner', 'article', 'book', 'spread, paste', 'feature, lineament'], 'places': ['residential neighborhood', 'slum', 'outdoor apartment building', 'street', 'home office'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6908.HEIC.compressed.jpg,photos_8\n9,9,2019-03-11 16:27:43+00:00,2019-03-11 16:27:43+00:00,\"\"\"A traditional Icelandic treat in a cozy setting.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Hangikjöt', 'Fårikål', 'Mämmi', 'Smörgåsbord', 'Brännboll', 'automobile horn, car horn, motor horn, horn, hooter', 'appliance, contraption, contrivance, convenience, gadget, gizmo, gismo, widget', 'dialog box, panel', 'Swedish meatball', 'triviality, trivia, trifle, small beer'], 'places': ['sauna', 'shower', 'raft', 'bar', 'waterfall'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6919.PNG.compressed.jpg,photos_9\n10,10,2019-03-18 09:20:41-07:00,2019-03-18 09:20:41-07:00,\"\"\"A full house.\"\"\",\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,\"{'objects': ['Auditorium', 'Academic conference', 'Academic institution', 'Business school', 'Projection screen', 'auditorium', 'peristyle', 'quad, quadrangle', 'assembly hall', 'praetorium, pretorium'], 'places': ['auditorium', 'campus', 'amphitheater', 'lecture room', 'conference center'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6923.HEIC.compressed.jpg,photos_10\n11,11,2019-03-18 09:31:03-07:00,2019-03-18 09:31:03-07:00,\"\"\"Exploring new ideas at the conference.\"\"\",\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,\"{'objects': ['Academic conference', 'Conference 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'sandbox', 'broadleaf forest', 'tree house'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6925.HEIC.compressed.jpg,photos_12\n13,13,2019-03-18 10:44:49-07:00,2019-03-18 10:44:49-07:00,\"\"\"Sharing knowledge.\"\"\",\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,\"{'objects': ['Presentation', 'Learning', 'Educational software', 'Lecture', 'Public speaking', 'psycholinguist', 'communication system', 'social scientist', 'feature, lineament', 'Latin'], 'places': ['lecture room', 'classroom', 'conference room', 'auditorium', 'conference center'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6926.HEIC.compressed.jpg,photos_13\n14,14,2019-03-18 13:00:08-07:00,2019-03-18 13:00:08-07:00,\"\"\"Gathering to learn and share knowledge.\"\"\",\"Helium Road, Randall County, Texas, 79119, United States\",35.097148128560605,-101.95385999606872,\"{'objects': ['Academic conference', 'Confirmation', 'Zha cai', 'Place card', 'Falafel', 'microeconomist, microeconomic expert', 'falafel, felafel', 'social scientist', 'economist, economic expert', 'publication'], 'places': ['reception', 'assembly line', 'conference center', 'corral', 'auditorium'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6928.HEIC.compressed.jpg,photos_14\n15,15,2019-03-18 15:52:33-07:00,2019-03-18 15:52:33-07:00,\"\"\"Healing begins here.\"\"\",\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,\"{'objects': ['Hospital', 'Radiology', 'Medical imaging', 'Presentation', 'Nurse', 'hospital room', 'emergency room, ER', 'facility, installation', 'medical building, health facility, healthcare facility', 'ward, hospital ward'], 'places': ['hospital', 'hospital room', 'operating room', 'nursing home', 'lecture room'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6930.HEIC.compressed.jpg,photos_15\n16,16,2019-03-18 16:05:51-07:00,2019-03-18 16:05:51-07:00,Academic minds come together.,\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,\"{'objects': ['Academic conference', 'Presentation', 'Podium', 'Event', 'Conversation', 'panel', 'dialog box, panel', 'panelist, panellist', 'microeconomist, microeconomic expert', 'quad, quadrangle'], 'places': ['conference room', 'auditorium', 'crosswalk', 'lecture room', 'conference center'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6931.HEIC.compressed.jpg,photos_16\n17,17,2019-03-19 12:32:09-07:00,2019-03-19 12:32:09-07:00,\"\"\"Incarcerated.\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.03718650914911,-101.90853991780963,\"{'objects': ['Invoice', 'Envelope', 'Voucher', 'Letter', 'Mail', 'envelope', 'envelope', 'envelope', 'envelope, gasbag', 'mailer'], 'places': ['jail cell', 'house', 'driveway', 'lawn', 'courthouse'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6935.HEIC.compressed.jpg,photos_17\n18,18,2019-03-22 19:06:44-07:00,2019-03-22 19:06:44-07:00,Grocery shopping time!,\"Randall County, Texas, United States\",35.06895994156193,-101.9117172610509,\"{'objects': ['Shopping list', 'Invoice', 'Recipe', 'Receipt', 'Clipboard', 'checkout, checkout counter', 'shopping cart', 'shopping', 'cart', 'shopping basket'], 'places': ['supermarket', 'shop bakery', 'outdoor general store', 'candy store', 'loading dock'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6936.HEIC.compressed.jpg,photos_18\n19,19,2019-03-23 09:36:05-07:00,2019-03-23 09:36:05-07:00,Exploring nature.,\"Castro County, Texas, United States\",34.72240410864033,-102.0198864767347,\"{'objects': ['Camp', 'Troop', 'Boy scouts of america', 'Jamboree', 'Camp furniture', 'Cub Scout', 'boy scout', 'Boy Scout', 'service club', 'wall tent'], 'places': ['campsite', 'dining hall', 'outdoor general store', 'outdoor cabin', 'picnic area'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6938.HEIC.compressed.jpg,photos_19\n20,20,2019-03-27 11:42:43+09:00,2019-03-27 11:42:43+09:00,\"\"\"Achievement Recognized\"\"\",\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4551,126.9504,\"{'objects': ['Academic certificate', 'Commemorative plaque', 'Award', 'Shuanghuan sceo', 'Diploma', 'commemorative', 'case, display case, showcase, vitrine', 'shantung', 'keepsake, souvenir, token, relic', 'licentiate'], 'places': ['archive', 'campus', 'office', 'embassy', 'heliport'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6943.HEIC.compressed.jpg,photos_20\n21,21,2019-03-27 11:42:50+09:00,2019-03-27 11:42:50+09:00,\"\"\"Achievement Recognized\"\"\",\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4551,126.9504,\"{'objects': ['Academic certificate', 'Award', 'Commemorative plaque', 'Display case', 'Souvenir', 'commemorative', 'case, display case, showcase, vitrine', 'plenipotentiary', 'office, business office', 'headquarters, central office, main office, home office, home base'], 'places': ['office', 'embassy', 'reception', 'archive', 'indoor museum'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6944.HEIC.compressed.jpg,photos_21\n22,22,2019-03-27 13:45:36+09:00,2019-03-27 13:45:36+09:00,\"\"\"Exploring new ideas at the conference.\"\"\",\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4551,126.951,\"{'objects': ['Academic conference', 'University', 'Banner', 'Academic institution', 'Science fair', 'university', 'signboard, sign', 'exhibition hall, exhibition area', 'student center', 'banner, streamer'], 'places': ['conference center', 'science museum', 'campus', 'outdoor museum', 'lobby'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6945.HEIC.compressed.jpg,photos_22\n23,23,2019-03-27 13:45:47+09:00,2019-03-27 13:45:47+09:00,\"\"\"Uniting for success.\"\"\",\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4552,126.951,\"{'objects': ['University', 'Academic institution', 'Banner', 'Science fair', 'National university', 'university', 'student center', 'exhibition hall, exhibition area', 'banner, streamer', 'signboard, sign'], 'places': ['conference center', 'science museum', 'campus', 'outdoor museum', 'lobby'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6946.HEIC.compressed.jpg,photos_23\n24,24,2019-03-27 13:45:47+09:00,2019-03-27 13:45:47+09:00,\"\"\"Exploring the University Campus\"\"\",\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4552,126.951,\"{'objects': ['University', 'Academic institution', 'National university', 'Banner', 'Science fair', 'university', 'student center', 'signboard, sign', 'exhibition hall, exhibition area', 'banner, streamer'], 'places': ['campus', 'science museum', 'conference center', 'outdoor museum', 'lobby'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6947.HEIC.compressed.jpg,photos_24\n25,25,2019-03-27 18:36:03+09:00,2019-03-27 18:36:03+09:00,Fresh Fish Catch!,\"Bangbae-ro, Bangbae 4(sa)-dong, Seocho-gu, Seoul, 06557, South Korea\",37.494,126.9903,\"{'objects': ['Fish products', 'Fish meal', 'Fish head curry', 'Fried fish', 'Butterfish', 'butterfish, stromateid fish, stromateid', 'food fish', 'rockfish', 'horse mackerel, jack mackerel, Spanish mackerel, saurel, Trachurus symmetricus', 'sashimi'], 'places': ['fishpond', 'restaurant', 'boat deck', 'ocean', 'sushi bar'], 'tags': ['food']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6952.HEIC.compressed.jpg,photos_25\n26,26,2019-03-28 06:38:09+09:00,2019-03-28 06:38:09+09:00,Traveling the world.,\"Incheon International Airport Terminal 1, 271, Gonghang-ro, Unseo-dong, Jung-gu, Incheon, 22382, South Korea\",37.4496,126.4536,\"{'objects': ['Airport', 'Airport terminal', 'Check-in', 'Airpot', 'Jet bridge', 'baggage claim', 'air terminal, airport terminal', 'airport, airdrome, aerodrome, drome', 'air traveler, air traveller', 'baggage, luggage'], 'places': ['airport terminal', 'runway', 'food court', 'platform train station', 'ticket booth'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6953.HEIC.compressed.jpg,photos_26\n27,27,2019-03-28 04:34:33+00:00,2019-03-28 04:34:33+00:00,\"\"\"Powering the industrial future.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Toyota voltz', 'Vortex', 'Automobile repair shop', 'Toyota vista', 'Toyota yaris verso', 'Venturi tube', 'location', 'varnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua', 'vermouth', 'topographic point, place, spot'], 'places': ['industrial area', 'viaduct', 'fastfood restaurant', 'server room', 'gas station'], 'tags': ['vehicle']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6954.PNG.compressed.jpg,photos_27\n28,28,2019-03-28 20:38:13+09:00,2019-03-28 20:38:13+09:00,Tasty Tsukudani!,\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,\"{'objects': ['Tsukudani', 'Scroll', 'Document', 'Receipt', 'Homework', 'paper', 'menu', 'date', 'sheet, flat solid', 'shoji'], 'places': ['restaurant', 'hotel room', 'archive', 'sushi bar', 'restaurant kitchen'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6955.HEIC.compressed.jpg,photos_28\n29,29,2019-03-28 20:47:46+09:00,2019-03-28 20:47:46+09:00,Enjoying a hot pot of Nabemono.,\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,\"{'objects': ['Nabemono', 'Kaiseki', 'Sukiyaki', 'Pot-au-feu', 'Ainu cuisine', 'sukiyaki', 'oxtail soup', 'sashimi', 'dish', 'dish'], 'places': ['sushi bar', 'restaurant', 'restaurant kitchen', 'delicatessen', 'fishpond'], 'tags': ['food']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6956.HEIC.compressed.jpg,photos_29\n30,30,2019-03-28 21:36:34+09:00,2019-03-28 21:36:34+09:00,\"\"\"Delicious Ainu cuisine!\"\"\",\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,\"{'objects': ['Ainu cuisine', 'Kaiseki', 'Okinawan cuisine', 'Japanese cuisine', 'Nabemono', 'plate, scale, shell', 'taro, taro root, cocoyam, dasheen, edda', 'bite, collation, snack', 'dish', 'dish'], 'places': ['restaurant', 'sushi bar', 'restaurant kitchen', 'fastfood restaurant', 'dining room'], 'tags': ['food']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6957.HEIC.compressed.jpg,photos_30\n31,31,2019-03-28 23:25:42+09:00,2019-03-28 23:25:42+09:00,Freshly-sliced sashimi.,\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,\"{'objects': ['Sashimi', 'Tataki', 'Narutomaki', 'Kaiseki', 'Yomari', 'sashimi', 'plum sauce', 'sushi', 'peach sauce', 'dish'], 'places': ['sushi bar', 'restaurant', 'restaurant kitchen', 'delicatessen', 'dining room'], 'tags': ['food']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6958.HEIC.compressed.jpg,photos_31\n32,32,2019-03-28 23:25:52+09:00,2019-03-28 23:25:52+09:00,\"\"\"A sweet treat!\"\"\",\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,\"{'objects': ['Quince dessert', 'Gelatin dessert', 'Red bean ice', 'Tataki', 'Siu mei', 'sashimi', 'fondant', 'peach sauce', 'edible fruit', 'sushi'], 'places': ['sushi bar', 'restaurant', 'restaurant kitchen', 'delicatessen', 'ice floe'], 'tags': ['food']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6959.HEIC.compressed.jpg,photos_32\n33,33,2019-03-29 09:12:12+09:00,2019-03-29 09:12:12+09:00,\"\"\"A healthy start to the day!\"\"\",\"Grand Hyatt Tokyo, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-6122, Japan\",35.6595,139.7283,\"{'objects': ['Muesli', 'Granola', 'Breakfast', 'Superfood', 'Wheatberry', 'breakfast', 'bite, collation, snack', 'wheat, wheat berry', 'porridge', 'oatmeal, rolled oats'], 'places': ['cafeteria', 'dining hall', 'delicatessen', 'restaurant', 'coffee shop'], 'tags': ['food']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6960.HEIC.compressed.jpg,photos_33\n34,34,2019-03-29 10:08:09+09:00,2019-03-29 10:08:09+09:00,\"\"\"A traditional Japanese instrument.\"\"\",\"Moto-Azabu 3-chome, Minato, Tokyo, 106-0046, Japan\",35.6574,139.7273,\"{'objects': ['Taishōgoto', 'Shrine', 'Shinto shrine', 'Temple', 'Temple', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata', 'fuji, fuji cherry, Prunus incisa', 'shrine', 'temple', 'temple'], 'places': ['asia temple', 'japanese garden', 'courtyard', 'formal garden', 'yard'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6961.HEIC.compressed.jpg,photos_34\n35,35,2019-03-29 10:13:09+09:00,2019-03-29 10:13:09+09:00,\"\"\"Spring beauty.\"\"\",\"Aiiku Hospital, 木下坂, Minami-Azabu 5-chome, Minato, Tokyo, 106-0047, Japan\",35.6536,139.726,\"{'objects': ['Cherry blossom', 'Blossom', 'Prunus', 'White day', 'Spring pancake', 'fuji, fuji cherry, Prunus incisa', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata', 'cherry, cherry tree', 'flowering cherry', 'angiospermous tree, flowering tree'], 'places': ['street', 'residential neighborhood', 'campus', 'phone booth', 'park'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6962.HEIC.compressed.jpg,photos_35\n36,36,2019-03-29 10:53:41+09:00,2019-03-29 10:53:41+09:00,Celebrating Children's Day in the city.,\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.638,139.7063,\"{'objects': ['Koinobori', 'Cherry blossom', 'Yukigassen', 'Higashi', 'Gomashio', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata', 'flowering cherry', 'signboard, sign', 'canal', 'umbrellawort'], 'places': ['urban canal', 'natural canal', 'river', 'water moat', 'street'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6963.HEIC.compressed.jpg,photos_36\n37,37,2019-03-29 10:54:16+09:00,2019-03-29 10:54:16+09:00,\"\"\"Urban beauty.\"\"\",\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6380917,139.7062083,\"{'objects': ['Cherry blossom', 'Higashi', 'Canal', 'Blossom', 'Yukigassen', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata', 'fuji, fuji cherry, Prunus incisa', 'Japanese flowering cherry, Prunus sieboldii', 'flowering cherry', 'canal'], 'places': ['urban canal', 'natural canal', 'river', 'creek', 'water moat'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6964-EFFECTS.jpg.compressed.jpg,photos_37\n38,38,2019-03-29 10:54:15+09:00,2019-03-29 10:54:15+09:00,\"\"\"Urban beauty.\"\"\",\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,\"{'objects': ['Cherry blossom', 'Higashi', 'Canal', 'Blossom', 'Yukigassen', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata', 'fuji, fuji cherry, Prunus incisa', 'flowering cherry', 'Japanese flowering cherry, Prunus sieboldii', 'canal'], 'places': ['urban canal', 'natural canal', 'river', 'creek', 'water moat'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6964.HEIC.compressed.jpg,photos_38\n39,39,2019-03-29 10:54:51+09:00,2019-03-29 10:54:51+09:00,Celebrating Children's Day in the city.,\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,\"{'objects': ['Koinobori', 'Cherry blossom', 'Yukigassen', 'Higashi', 'Tsukudani', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata', 'fuji, fuji cherry, Prunus incisa', 'banner, streamer', 'Japanese flowering cherry, Prunus sieboldii', 'flowering cherry'], 'places': ['urban canal', 'river', 'natural canal', 'bridge', 'water moat'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6965.HEIC.compressed.jpg,photos_39\n40,40,2019-03-29 10:54:59+09:00,2019-03-29 10:54:59+09:00,\"\"\"Urban beauty.\"\"\",\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,\"{'objects': ['Cherry blossom', 'Higashi', 'Canal', 'Yukigassen', 'Blossom', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata', 'fuji, fuji cherry, Prunus incisa', 'flowering cherry', 'canal', 'flowering almond, oriental bush cherry, Prunus japonica'], 'places': ['urban canal', 'natural canal', 'river', 'water moat', 'creek'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6966.HEIC.compressed.jpg,photos_40\n41,41,2019-03-29 10:56:04+09:00,2019-03-29 10:56:04+09:00,\"\"\"Urban beauty.\"\"\",\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,\"{'objects': ['Cherry blossom', 'Koinobori', 'Higashi', 'Yukigassen', 'Pink', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata', 'canal', 'banner, streamer', 'signboard, sign', 'flowering cherry'], 'places': ['urban canal', 'natural canal', 'river', 'creek', 'street'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6967.HEIC.compressed.jpg,photos_41\n42,42,2019-03-29 10:56:37+09:00,2019-03-29 10:56:37+09:00,\"\"\"Urban beauty.\"\"\",\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,\"{'objects': ['Cherry blossom', 'Prunus', 'Blossom', 'Prunus spinosa', 'Higashi', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata', 'fuji, fuji cherry, Prunus incisa', 'flowering cherry', 'Japanese flowering cherry, Prunus sieboldii', 'flowering almond, oriental bush cherry, Prunus japonica'], 'places': ['urban canal', 'natural canal', 'water moat', 'river', 'berth'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6968.HEIC.compressed.jpg,photos_42\n43,43,2019-03-29 12:28:58+09:00,2019-03-29 12:28:58+09:00,\"\"\"Ancient Temple Gate\"\"\",\"University of Tokyo (Hongo Campus), 1, Kikuzaka, Hongo 4-chome, Bunkyo, Tokyo, 113-8654, Japan\",35.7105,139.7602,\"{'objects': ['Gate', 'Makunouchi', 'Japanese architecture', 'Taishōgoto', 'Taidō', 'gate', 'head gate', 'shrine', 'temple', 'temple'], 'places': ['asia temple', 'pavilion', 'campus', 'pagoda', 'outdoor doorway'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6970.HEIC.compressed.jpg,photos_43\n44,44,2019-03-29 16:15:45+09:00,2019-03-29 16:15:45+09:00,\"\"\"Spring in the city.\"\"\",\"Shibadaimon 1-chome, Minato, Tokyo, 105-8511, Japan\",35.6594,139.7516,\"{'objects': ['Cherry blossom', 'Makunouchi', 'Yukigassen', 'Japanese architecture', 'Fujara', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata', 'angiospermous tree, flowering tree', 'fuji, fuji cherry, Prunus incisa', 'Japanese oak, Lithocarpus glabra, Lithocarpus glaber', 'varnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua'], 'places': ['plaza', 'courtyard', 'outdoor hotel', 'office building', 'residential neighborhood'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6973.HEIC.compressed.jpg,photos_44\n45,45,2019-03-29 16:23:59+09:00,2019-03-29 16:23:59+09:00,\"\"\"Finding balance.\"\"\",\"Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6603,139.74769999999998,\"{'objects': ['Yoga', 'Aikido', 'Shorinji kempo', 'Yoga mat', 'Tensoba', 'picnic', 'sumo ring', 'pyramidal tent', 'temple', 'temple'], 'places': ['tower', 'pagoda', 'park', 'picnic area', 'outdoor church'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6974.HEIC.compressed.jpg,photos_45\n46,46,2019-03-29 16:24:07+09:00,2019-03-29 16:24:07+09:00,Enjoying a picnic in the park.,\"Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6603,139.74769999999998,\"{'objects': ['Picnic', 'Queue area', 'Cherry blossom', 'Public space', 'Kotatsu', 'picnic', 'sumo ring', 'pyramidal tent', 'position, place', 'campsite, campground, camping site, camping ground, bivouac, encampment, camping area'], 'places': ['picnic area', 'park', 'campsite', 'outdoor church', 'outdoor stage'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6976.HEIC.compressed.jpg,photos_46\n47,47,2019-03-29 16:24:56+09:00,2019-03-29 16:24:56+09:00,\"\"\"A touch of spring.\"\"\",\"Shiba Junior High School & Senior High School, 切通坂, Shibakoen 3-chome, Minato, Tokyo, 105-6216, Japan\",35.6603,139.7471,\"{'objects': ['Cherry blossom', 'Blossom', 'White day', 'Tower', 'Tower running', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata', 'varnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua', 'fuji, fuji cherry, Prunus incisa', 'flowering cherry', 'tower'], 'places': ['tower', 'park', 'pagoda', 'skyscraper', 'campus'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6977.HEIC.compressed.jpg,photos_47\n48,48,2019-03-29 16:25:06+09:00,2019-03-29 16:25:06+09:00,\"\"\"A touch of spring.\"\"\",\"Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6604,139.7474,\"{'objects': ['Cherry blossom', 'White day', 'Transmission tower', 'Tower', 'Blossom', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata', 'fuji, fuji cherry, Prunus incisa', 'varnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua', 'tower', 'flowering cherry'], 'places': ['tower', 'skyscraper', 'park', 'pagoda', 'campus'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6978.HEIC.compressed.jpg,photos_48\n49,49,2019-03-29 16:26:16+09:00,2019-03-29 16:26:16+09:00,\"\"\"A touch of spring.\"\"\",\"Tokyo Prince Hotel, Iwaida-dori, Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6601,139.7473,\"{'objects': ['Cherry blossom', 'White day', 'Blossom', 'Prunus', 'Transmission tower', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata', 'fuji, fuji cherry, Prunus incisa', 'flowering cherry', 'cherry, cherry tree', 'varnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua'], 'places': ['tower', 'park', 'pagoda', 'campus', 'botanical garden'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6979.HEIC.compressed.jpg,photos_49\n50,50,2019-03-29 18:25:08+09:00,2019-03-29 18:25:08+09:00,Freshly shaved Katsuobushi.,\"Roppongi Hills, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-8001, Japan\",35.6604,139.7287,\"{'objects': ['Katsuobushi', 'Ikebana', 'Restaurant', 'Anago', 'Kaiseki', 'dining area', 'restaurant, eating house, eating place, eatery', 'scape, flower stalk', 'flower arrangement, floral arrangement', 'varnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua'], 'places': ['restaurant', 'dining room', 'sushi bar', 'restaurant kitchen', 'alcove'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6980.HEIC.compressed.jpg,photos_50\n51,51,2019-03-29 18:25:24+09:00,2019-03-29 18:25:24+09:00,\"\"\"A place to gather and share ideas.\"\"\",\"Roppongi Hills, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-8001, Japan\",35.6604,139.7286,\"{'objects': ['Dining room', 'Recreation room', 'Conference room table', 'Eagle medallion', 'Wall sticker', 'conference room', 'dining area', 'boardroom, council chamber', 'smoking room', 'recreation room, rec room'], 'places': ['conference room', 'dining room', 'recreation room', 'restaurant', 'indoor booth'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6981.HEIC.compressed.jpg,photos_51\n52,52,2019-03-29 18:26:53+09:00,2019-03-29 18:26:53+09:00,\"\"\"Freshly made Anago sushi!\"\"\",\"Roppongi Hills, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-8001, Japan\",35.6604,139.7287,\"{'objects': ['Anago', 'Katsuobushi', 'Kaiseki', 'Hiyashi chūka', 'Japanese cuisine', 'dining area', 'restaurant, eating house, eating place, eatery', 'leather strip', 'dining room, dining-room', 'lacquerware'], 'places': ['sushi bar', 'restaurant', 'restaurant kitchen', 'dining room', 'zen garden'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6982.HEIC.compressed.jpg,photos_52\n53,53,2019-03-29 18:27:16+09:00,2019-03-29 18:27:16+09:00,Freshly shaved Katsuobushi.,\"Roppongi Hills, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-8001, Japan\",35.6604,139.7286,\"{'objects': ['Katsuobushi', 'Anago', 'Ikebana', 'Kombu', 'Kaiseki', 'varnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua', 'dining area', 'lacquerware', 'scape, flower stalk', 'restaurant, eating house, eating place, eatery'], 'places': ['restaurant', 'sushi bar', 'dining room', 'restaurant kitchen', 'zen garden'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6983.HEIC.compressed.jpg,photos_53\n54,54,2019-03-29 19:20:53+09:00,2019-03-29 19:20:53+09:00,Freshly prepared osechi sushi.,\"Roppongi Hills Mori Tower, Mafu Tunnel, Roppongi, Minato, Tokyo, 106-6188, Japan\",35.6602,139.72889999999998,\"{'objects': ['Osechi', 'Kaiseki', 'Japanese cuisine', 'Ekiben', 'Katsuobushi', 'sukiyaki', 'bite, collation, snack', 'miso', 'tray', 'wasabi'], 'places': ['sushi bar', 'zen garden', 'restaurant', 'restaurant kitchen', 'japanese garden'], 'tags': ['food']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6984.HEIC.compressed.jpg,photos_54\n55,55,2019-03-29 21:28:05+09:00,2019-03-29 21:28:05+09:00,Delicious Taro Cake!,\"Roppongi Hills Mori Tower, Mafu Tunnel, Roppongi, Minato, Tokyo, 106-6188, Japan\",35.6604,139.7288,\"{'objects': ['Taro cake', 'Dessert', 'Agedashi tofu', 'Kaiseki', 'Osechi', 'parfait', 'dessert, sweet, afters', 'frozen dessert', 'oil cake', 'peach ice cream'], 'places': ['restaurant', 'ice cream parlor', 'dining hall', 'cafeteria', 'zen garden'], 'tags': ['food']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6985.HEIC.compressed.jpg,photos_55\n56,56,2019-03-30 14:15:37+09:00,2019-03-30 14:15:37+09:00,Ready for takeoff.,\"191L, Kuko Higashi-dori, Narita, Sanmu, Chiba Prefecture, 282-0004, Japan\",35.76,140.38979999999998,\"{'objects': ['Aircraft cabin', 'Movie', 'Flight', 'Dvd', 'Airline', 'plane seat', 'culture medium, medium', 'widebody aircraft, wide-body aircraft, wide-body, twin-aisle airplane', 'boarding', 'air traveler, air traveller'], 'places': ['airplane cabin', 'cockpit', 'galley', 'waiting room', 'landing deck'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6986.HEIC.compressed.jpg,photos_56\n57,57,2019-03-31 10:51:04+08:00,2019-03-31 10:51:04+08:00,Caffeine fix.,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"{'objects': ['Espressino', 'Espresso', 'Ristretto', 'Cortado', 'Caffè americano', 'espresso', 'demitasse', 'coffee cup', 'coffee, java', 'tamp, tamper, tamping bar'], 'places': ['coffee shop', 'ski slope', 'mountain', 'volcano', 'cafeteria'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6988.HEIC.compressed.jpg,photos_57\n58,58,2019-03-31 10:51:41+08:00,2019-03-31 10:51:41+08:00,\"\"\"A cozy spot for coffee and conversation.\"\"\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"{'objects': ['Coffeehouse', 'Café', 'Barista', 'Dandelion coffee', 'Ipoh white coffee', 'cafe, coffeehouse, coffee shop, coffee bar', 'tamp, tamper, tamping bar', 'caffe latte, latte', 'coffee, java', 'coffee, coffee tree'], 'places': ['coffee shop', 'indoor general store', 'bar', 'beer hall', 'cafeteria'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6989.HEIC.compressed.jpg,photos_58\n59,59,2019-03-31 11:17:52+08:00,2019-03-31 11:17:52+08:00,\"\"\"A cozy spot for coffee and conversation.\"\"\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"{'objects': ['Coffeehouse', 'Café', 'Hoppang', 'Dandelion coffee', 'Kopi tubruk', 'cafe, coffeehouse, coffee shop, coffee bar', 'tamp, tamper, tamping bar', 'coffee, java', 'coffee, coffee tree', 'mezzanine, mezzanine floor, entresol'], 'places': ['coffee shop', 'bar', 'indoor general store', 'shop bakery', 'indoor pub'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6990.HEIC.compressed.jpg,photos_59\n60,60,2019-03-31 11:17:57+08:00,2019-03-31 11:17:57+08:00,\"\"\"A cozy spot for coffee and conversation.\"\"\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"{'objects': ['Coffeehouse', 'Café', 'Ipoh white coffee', 'Hoppang', 'Barista', 'cafe, coffeehouse, coffee shop, coffee bar', 'tamp, tamper, tamping bar', 'brasserie', 'coffee, java', 'bakery, bakeshop, bakehouse'], 'places': ['coffee shop', 'bar', 'indoor general store', 'beer hall', 'shop bakery'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6991.HEIC.compressed.jpg,photos_60\n61,61,2019-03-31 11:23:27+08:00,2019-03-31 11:23:27+08:00,\"\"\"Celebrating success!\"\"\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"{'objects': ['Award', 'Trophy', 'Shortstraw pine', 'Shortstraw pine', 'Karatalas', 'kauri pine, dammar pine', 'pine, pine tree, true pine', 'deodar, deodar cedar, Himalayan cedar, Cedrus deodara', 'timber tree', 'spruce'], 'places': ['coffee shop', 'tree house', 'delicatessen', 'restaurant', 'home office'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6992.HEIC.compressed.jpg,photos_61\n62,62,2019-03-31 11:29:26+08:00,2019-03-31 11:29:26+08:00,Fresh sushi and drinks.,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.5276,\"{'objects': ['Café', 'Cascara sagrada', 'Bar', 'Restaurant', 'Coffeehouse', 'brasserie', 'cafe, coffeehouse, coffee shop, coffee bar', 'mezzanine, mezzanine floor, entresol', 'automat', 'automat'], 'places': ['sushi bar', 'bar', 'restaurant', 'coffee shop', 'delicatessen'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6993.HEIC.compressed.jpg,photos_62\n63,63,2019-03-31 11:29:35+08:00,2019-03-31 11:29:35+08:00,\"\"\"A cozy spot for a cup of coffee.\"\"\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.5276,\"{'objects': ['Café', 'Bar', 'Restaurant', 'Retail', 'Delicatessen', 'brasserie', 'bar', 'bar', 'bar', 'cafe, coffeehouse, coffee shop, coffee bar'], 'places': ['bar', 'restaurant', 'beer hall', 'indoor general store', 'delicatessen'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6994.HEIC.compressed.jpg,photos_63\n64,64,2019-03-31 13:38:53+08:00,2019-03-31 13:38:53+08:00,\"\"\"Reaching new heights.\"\"\",\"Eslite XinYi Store, 11, Songgao Road, Xicun Village, Xinyi District, Xingya, Taipei, 11073, Taiwan\",25.0393,121.5656,\"{'objects': ['Skyscraper', 'Tower running', 'Landmark', 'Tower', 'Monolith', 'skyscraper', 'landmark', 'tower', 'control tower', 'government building'], 'places': ['skyscraper', 'tower', 'office building', 'downtown', 'plaza'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6997.HEIC.compressed.jpg,photos_64\n65,65,2019-03-31 13:38:56+08:00,2019-03-31 13:38:56+08:00,\"\"\"Reaching new heights.\"\"\",\"Eslite XinYi Store, 11, Songgao Road, Xicun Village, Xinyi District, Xingya, Taipei, 11073, Taiwan\",25.0392,121.5656,\"{'objects': ['Tower running', 'Skyscraper', 'Landmark', 'Tower', 'Monolith', 'skyscraper', 'landmark', 'tower', 'control tower', 'intersection, crossroad, crossway, crossing, carrefour'], 'places': ['skyscraper', 'tower', 'crosswalk', 'downtown', 'plaza'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6998.HEIC.compressed.jpg,photos_65\n66,66,2019-03-31 14:02:19+08:00,2019-03-31 14:02:19+08:00,\"\"\"A view from the top.\"\"\",\"Taipei City Hall (City Hall Rd.), City Hall Road, Xinglong Village, Xinyi District, Xingya, Taipei, 11008, Taiwan\",25.0378,121.5634,\"{'objects': ['Landmark', 'Tower', 'Skyscraper', 'Control tower', 'Tower running', 'landmark', 'tower', 'skyscraper', 'control tower', 'national monument'], 'places': ['tower', 'skyscraper', 'office building', 'outdoor hotel', 'conference center'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_6999.HEIC.compressed.jpg,photos_66\n67,67,2019-03-31 14:07:01+08:00,2019-03-31 14:07:01+08:00,\"\"\"The seat of power.\"\"\",\"Sanzhangli Branch Line Trail, Xinglong Village, Xinyi District, Chezeng, Taipei, 11008, Taiwan\",25.0379,121.5607,\"{'objects': ['Presidential palace', 'Concert hall', 'Taiwanese opera', 'Conference hall', 'Convention center', 'assembly hall', 'concert hall', 'government building', 'exhibition hall, exhibition area', 'conference center, conference house'], 'places': ['conference center', 'legislative chamber', 'asia temple', 'performance arena', 'pavilion'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7001.HEIC.compressed.jpg,photos_67\n68,68,2019-03-31 14:08:35+08:00,2019-03-31 14:08:35+08:00,\"\"\"A burst of color.\"\"\",\"Sanzhangli Branch Line Trail, Xinglong Village, Xinyi District, Chezeng, Taipei, 11008, Taiwan\",25.0387,121.5604,\"{'objects': ['Impatiens', 'Groundcover', 'Botanical garden', 'Park', 'Landscaping', 'flowerbed, flower bed, bed of flowers', 'pink, garden pink', 'periwinkle, rose periwinkle, Madagascar periwinkle, old maid, Cape periwinkle, red periwinkle, cayenne jasmine, Catharanthus roseus, Vinca rosea', 'zoysia', 'portulaca'], 'places': ['botanical garden', 'formal garden', 'park', 'lawn', 'topiary garden'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7002.HEIC.compressed.jpg,photos_68\n69,69,2019-03-31 14:11:10+08:00,2019-03-31 14:11:10+08:00,\"\"\"The seat of power.\"\"\",\"Sun Yat-sen Memorial Hall, 505, Section 4, Ren'ai Road, Xinglong Village, Xinyi District, Chezeng, Taipei, 11073, Taiwan\",25.0397,121.5603,\"{'objects': ['Presidential palace', 'Shuanghuan sceo', 'Statue', 'Taiwan passport', 'Lei cha', 'honor guard, guard of honor', 'government building', 'chancellery', 'Unknown Soldier', 'military policeman, MP'], 'places': ['legislative chamber', 'conference center', 'entrance hall', 'embassy', 'mausoleum'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7003.HEIC.compressed.jpg,photos_69\n70,70,2019-03-31 14:25:17+08:00,2019-03-31 14:25:17+08:00,\"\"\"A sweet treat!\"\"\",\"Bigtom美國冰淇淋咖啡館, Guangfu South Road, Xinglong Village, Xinyi District, Chezeng, Taipei, 10694, Taiwan\",25.0386,121.5578,\"{'objects': ['White mulberry', 'Coffeehouse', 'White coffee', 'Single-origin coffee', 'Azuki bean', 'coffee, coffee tree', 'rain tree, saman, monkeypod, monkey pod, zaman, zamang, Albizia saman', 'coffee bean, coffee berry, coffee', 'cafe, coffeehouse, coffee shop, coffee bar', 'bean tree'], 'places': ['coffee shop', 'shop bakery', 'indoor general store', 'tree house', 'gift shop'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7004.HEIC.compressed.jpg,photos_70\n71,71,2019-04-01 11:46:03+08:00,2019-04-01 11:46:03+08:00,\"\"\"A cozy spot for coffee and conversation.\"\"\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"{'objects': ['Coffeehouse', 'Café', 'Roasted barley tea', 'Hojicha', 'Barista', 'cafe, coffeehouse, coffee shop, coffee bar', 'tamp, tamper, tamping bar', 'perfumery', 'tobacco shop, tobacconist shop, tobacconist', 'shop, store'], 'places': ['coffee shop', 'indoor general store', 'beer hall', 'delicatessen', 'bar'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7006.HEIC.compressed.jpg,photos_71\n72,72,2019-04-01 11:46:13+08:00,2019-04-01 11:46:13+08:00,\"\"\"A cup of coffee and a moment of peace.\"\"\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"{'objects': ['Café', 'Coffeehouse', 'Barista', 'Cafeteria', 'Restaurant', 'cafe, coffeehouse, coffee shop, coffee bar', 'restaurant, eating house, eating place, eatery', 'brasserie', 'tamp, tamper, tamping bar', 'cafeteria'], 'places': ['coffee shop', 'restaurant kitchen', 'cafeteria', 'restaurant', 'beer hall'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7007.HEIC.compressed.jpg,photos_72\n73,73,2019-04-01 11:46:18+08:00,2019-04-01 11:46:18+08:00,\"\"\"A cozy spot for coffee and conversation.\"\"\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"{'objects': ['Coffeehouse', 'Café', 'Barista', 'Hojicha', 'Roasted barley tea', 'cafe, coffeehouse, coffee shop, coffee bar', 'tamp, tamper, tamping bar', 'restaurant, eating house, eating place, eatery', 'cafeteria', 'coffee, java'], 'places': ['coffee shop', 'restaurant kitchen', 'indoor general store', 'cafeteria', 'shop bakery'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7008.HEIC.compressed.jpg,photos_73\n74,74,2019-04-01 11:50:40+08:00,2019-04-01 11:50:40+08:00,\"\"\"A classic Singaporean breakfast.\"\"\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.5276,\"{'objects': ['Kaya toast', 'Melt sandwich', 'Creamed eggs on toast', 'Welsh rarebit', 'Roti john', 'open-face sandwich, open sandwich', 'toast', 'sandwich', 'French toast', 'bite, collation, snack'], 'places': ['delicatessen', 'restaurant', 'shop bakery', 'trench', 'kitchen'], 'tags': ['food']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7009.HEIC.compressed.jpg,photos_74\n75,75,2019-04-01 13:05:56+08:00,2019-04-01 13:05:56+08:00,\"\"\"A cup of coffee and a moment of peace.\"\"\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.5276,\"{'objects': ['Café', 'Coffeehouse', 'Barista', 'Bar', 'Hojicha', 'cafe, coffeehouse, coffee shop, coffee bar', 'tamp, tamper, tamping bar', 'bar', 'bar', 'bar'], 'places': ['coffee shop', 'restaurant kitchen', 'bar', 'restaurant', 'cafeteria'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7011.HEIC.compressed.jpg,photos_75\n76,76,2019-04-01 13:10:47+08:00,2019-04-01 13:10:47+08:00,\"\"\"Outdated technology discarded.\"\"\",\"1914 Connection, Jinshan North Road, KuanHua Market, Meihua Village, Zhongzheng District, Huashan, Taipei, 10053, Taiwan\",25.0437,121.5299,\"{'objects': ['Motherboard', 'Cpu cache', 'CPU', 'Electronic component', 'Circuit component', 'CPU board, mother board', 'circuit board, circuit card, board, card, plug-in, add-in', 'printed circuit', 'chip, microchip, micro chip, silicon chip, microprocessor chip', 'integrated circuit, microcircuit'], 'places': ['junkyard', 'assembly line', 'landfill', 'hardware store', 'archive'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7012.HEIC.compressed.jpg,photos_76\n77,77,2019-04-01 14:08:24+08:00,2019-04-01 14:08:24+08:00,\"\"\"Traditional Taiwanese Opera in the Legislative Chamber\"\"\",\"Chiang Kai-shek Memorial Hall, 21, Zhongshan South Road, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10048, Taiwan\",25.034800000000004,121.5216,\"{'objects': ['Taiwanese opera', 'Taiwan passport', 'Shuanghuan sceo', 'Statue', 'Function hall', 'chancellery', 'hall', 'hall', 'hall', 'national monument'], 'places': ['legislative chamber', 'throne room', 'lecture room', 'mausoleum', 'palace'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7013.HEIC.compressed.jpg,photos_77\n78,78,2019-04-01 14:09:49+08:00,2019-04-01 14:09:49+08:00,\"\"\"A symbol of democracy.\"\"\",\"Chiang Kai-shek Memorial Hall, 21, Zhongshan South Road, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10048, Taiwan\",25.0347,121.52179999999998,\"{'objects': ['Statue', 'Shuanghuan sceo', 'Taiwanese opera', 'Taiwan passport', 'Presidential palace', 'chair of state', 'national monument', 'legislator', 'government building', 'shantung'], 'places': ['legislative chamber', 'lecture room', 'courthouse', 'mausoleum', 'throne room'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7014.HEIC.compressed.jpg,photos_78\n79,79,2019-04-01 14:09:52+08:00,2019-04-01 14:09:52+08:00,\"\"\"A symbol of democracy.\"\"\",\"中正紀念堂銅像大廳, Democracy Boulevard, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10092, Taiwan\",25.0346,121.52189999999996,\"{'objects': ['Statue', 'Shuanghuan sceo', 'Taiwanese opera', 'Legislator', 'Lei cha', 'chair of state', 'legislator', 'national monument', 'lawgiver, lawmaker', 'shantung'], 'places': ['legislative chamber', 'lecture room', 'courthouse', 'throne room', 'mausoleum'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7015.HEIC.compressed.jpg,photos_79\n80,80,2019-04-01 14:12:25+08:00,2019-04-01 14:12:25+08:00,\"\"\"The Presidential Palace of Asia.\"\"\",\"Chiang Kai-shek Memorial Hall, 21, Zhongshan South Road, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10048, Taiwan\",25.034800000000004,121.5216,\"{'objects': ['Presidential palace', 'Chinese architecture', 'Taiwanese opera', 'Palace', 'Ssangyong istana', 'palace', 'palace', 'temple', 'temple', 'place of worship, house of prayer, house of God, house of worship'], 'places': ['asia temple', 'palace', 'formal garden', 'throne room', 'mausoleum'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7016.HEIC.compressed.jpg,photos_80\n81,81,2019-04-01 14:13:29+08:00,2019-04-01 14:13:29+08:00,\"\"\"The Presidential Palace of Asia.\"\"\",\"Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, Taiwan\",25.0352,121.52119999999998,\"{'objects': ['Presidential palace', 'Chinese architecture', 'Taiwanese opera', 'Palace', 'Temple', 'palace', 'palace', 'temple', 'temple', 'national monument'], 'places': ['asia temple', 'palace', 'legislative chamber', 'formal garden', 'mausoleum'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7017.HEIC.compressed.jpg,photos_81\n82,82,2019-04-01 14:19:18+08:00,2019-04-01 14:19:18+08:00,\"\"\"Ancient beauty.\"\"\",\"Chiang Kai-shek Memorial Hall, 21, Zhongshan South Road, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10048, Taiwan\",25.0352,121.52189999999996,\"{'objects': ['Chinese architecture', 'Presidential palace', 'Palace', 'Unesco world heritage site', 'Taiwan passport', 'palace', 'palace', 'china', 'temple', 'temple'], 'places': ['asia temple', 'palace', 'formal garden', 'plaza', 'legislative chamber'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7018.HEIC.compressed.jpg,photos_82\n83,83,2019-04-01 14:32:33+08:00,2019-04-01 14:32:33+08:00,\"\"\"Ancient beauty.\"\"\",\"南側樓梯出口, Democracy Boulevard, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10013, Taiwan\",25.0352,121.519,\"{'objects': ['Chinese architecture', 'Taiwanese opera', 'Temple', 'Temple', 'Presidential palace', 'temple', 'temple', 'palace', 'palace', 'assembly hall'], 'places': ['asia temple', 'legislative chamber', 'palace', 'mausoleum', 'pavilion'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7019.HEIC.compressed.jpg,photos_83\n84,84,2019-04-01 14:32:43+08:00,2019-04-01 14:32:43+08:00,\"\"\"Ancient beauty.\"\"\",\"Democracy Boulevard, Linsen South Road Motor Tunnel, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10092, Taiwan\",25.0357,121.5201,\"{'objects': ['Chinese architecture', 'Taiwanese opera', 'Temple', 'Temple', 'Presidential palace', 'temple', 'temple', 'assembly hall', 'palace', 'palace'], 'places': ['asia temple', 'legislative chamber', 'palace', 'mausoleum', 'pavilion'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7020.HEIC.compressed.jpg,photos_84\n85,85,2019-04-01 14:34:37+08:00,2019-04-01 14:34:37+08:00,\"\"\"The Presidential Palace of Asia.\"\"\",\"Liberty Square, Democracy Boulevard, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10001, Taiwan\",25.0359,121.51919999999998,\"{'objects': ['Presidential palace', 'Temple', 'Temple', 'Taiwanese opera', 'Mortuary temple', 'temple', 'temple', 'place of worship, house of prayer, house of God, house of worship', 'mausoleum', 'palace'], 'places': ['asia temple', 'legislative chamber', 'mausoleum', 'palace', 'formal garden'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7021.HEIC.compressed.jpg,photos_85\n86,86,2019-04-01 18:04:00+08:00,2019-04-01 18:04:00+08:00,\"\"\"A view from the top.\"\"\",\"Six Boulders Photographing Platform, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, Taiwan\",25.027,121.5741,\"{'objects': ['Observation tower', 'Taro', 'Bamboo shoot', 'Taiwan passport', 'Mount scenery', 'landmark', 'tower', 'macrozamia', 'control tower', 'lookout, observation tower, lookout station, observatory'], 'places': ['tower', 'pagoda', 'skyscraper', 'mountain', 'asia temple'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7022.HEIC.compressed.jpg,photos_86\n87,87,2019-04-01 18:10:42+08:00,2019-04-01 18:10:42+08:00,\"\"\"A majestic view.\"\"\",\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.57439999999998,\"{'objects': ['Mount scenery', 'Taiwan passport', 'Yuanyang', 'Stinky tofu', 'Calung', 'city, metropolis, urban center', 'urban area, populated area', 'china', 'range, mountain range, range of mountains, chain, mountain chain, chain of mountains', 'mountain, mount'], 'places': ['downtown', 'mountain', 'residential neighborhood', 'valley', 'skyscraper'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7023.HEIC.compressed.jpg,photos_87\n88,88,2019-04-01 18:16:02+08:00,2019-04-01 18:16:02+08:00,\"\"\"A view from the top.\"\"\",\"象山親山步道主線(稜線), Liuhe Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0268,121.5745,\"{'objects': ['Landmark', 'Tower', 'Tower running', 'Taro', 'Geography cone', 'landmark', 'tower', 'control tower', 'national monument', 'skyscraper'], 'places': ['tower', 'skyscraper', 'pagoda', 'asia temple', 'volcano'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7024.HEIC.compressed.jpg,photos_88\n89,89,2019-04-01 18:16:44+08:00,2019-04-01 18:16:44+08:00,Exploring Taiwan.,\"梅花球場, 象山親山步道永春亭線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0272,121.5729,\"{'objects': ['Taiwan passport', 'Mount scenery', 'Stinky tofu', 'Calung', 'Metropolitan area', 'city, metropolis, urban center', 'urban area, populated area', 'landmark', 'city district', 'china'], 'places': ['downtown', 'residential neighborhood', 'mountain', 'tower', 'skyscraper'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7025.HEIC.compressed.jpg,photos_89\n90,90,2019-04-01 18:18:23+08:00,2019-04-01 18:18:23+08:00,\"\"\"A view from the top.\"\"\",\"Xiangshan Tunnel, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0268139,121.5743944,\"{'objects': ['Landmark', 'Tower running', 'Tower', 'Control tower', 'Transmission tower', 'landmark', 'tower', 'control tower', 'skyscraper', 'national monument'], 'places': ['tower', 'skyscraper', 'office building', 'downtown', 'volcano'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7026.HEIC.compressed.jpg,photos_90\n91,91,2019-04-01 18:18:34+08:00,2019-04-01 18:18:34+08:00,\"\"\"A view from the top.\"\"\",\"Xiangshan Tunnel, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0268083,121.5743861,\"{'objects': ['Landmark', 'Tower running', 'Tower', 'Transmission tower', 'Skyscraper', 'landmark', 'tower', 'skyscraper', 'control tower', 'supporting tower'], 'places': ['tower', 'skyscraper', 'asia temple', 'pagoda', 'mountain'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7027.HEIC.compressed.jpg,photos_91\n92,92,2019-04-01 18:18:54+08:00,2019-04-01 18:18:54+08:00,\"\"\"A view from the top.\"\"\",\"象山看台北, 101塔樓2號攝影平台, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.026872200000003,121.5744083,\"{'objects': ['Landmark', 'Tower running', 'Tower', 'Taiwan passport', 'Taro', 'landmark', 'tower', 'control tower', 'skyscraper', 'national monument'], 'places': ['tower', 'skyscraper', 'volcano', 'downtown', 'asia temple'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7028.HEIC.compressed.jpg,photos_92\n93,93,2019-04-01 18:19:16+08:00,2019-04-01 18:19:16+08:00,Exploring Taiwan.,\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,\"{'objects': ['Taiwan passport', 'Youtiao', 'Panorama', 'City', 'Calung', 'city, metropolis, urban center', 'urban area, populated area', 'landmark', 'city district', 'golden shower tree, drumstick tree, purging cassia, pudding pipe tree, canafistola, canafistula, Cassia fistula'], 'places': ['downtown', 'asia temple', 'skyscraper', 'residential neighborhood', 'mountain'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7029.HEIC.compressed.jpg,photos_93\n94,94,2019-04-01 18:27:54+08:00,2019-04-01 18:27:54+08:00,\"\"\"Majestic beauty.\"\"\",\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.57439999999998,\"{'objects': ['Mount scenery', 'City', 'Taiwan passport', 'Metropolitan area', 'Cityscape', 'city, metropolis, urban center', 'mountain, mount', 'landmark', 'urban area, populated area', 'range, mountain range, range of mountains, chain, mountain chain, chain of mountains'], 'places': ['mountain', 'skyscraper', 'tower', 'downtown', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7030.HEIC.compressed.jpg,photos_94\n95,95,2019-04-01 18:28:24+08:00,2019-04-01 18:28:24+08:00,\"\"\"A majestic view.\"\"\",\"楠楠相望, 象山親山步道主線(稜線), Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0271,121.5732,\"{'objects': ['Mount scenery', 'Gaohu', 'Cityscape', 'City', 'Skyline', 'city, metropolis, urban center', 'urban area, populated area', 'china', 'mountain, mount', 'city district'], 'places': ['downtown', 'mountain', 'skyscraper', 'residential neighborhood', 'tower'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7031.HEIC.compressed.jpg,photos_95\n96,96,2019-04-01 18:30:30+08:00,2019-04-01 18:30:30+08:00,Exploring Taiwan.,\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,\"{'objects': ['Taiwan passport', 'Youtiao', 'Mount scenery', 'Metropolitan area', 'City', 'city, metropolis, urban center', 'urban area, populated area', 'landmark', 'china', 'mountain, mount'], 'places': ['tower', 'downtown', 'skyscraper', 'mountain', 'residential neighborhood'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7032.HEIC.compressed.jpg,photos_96\n97,97,2019-04-01 18:30:38+08:00,2019-04-01 18:30:38+08:00,\"\"\"A majestic view.\"\"\",\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,\"{'objects': ['Mount scenery', 'City', 'Metropolitan area', 'Cityscape', 'Taiwan passport', 'city, metropolis, urban center', 'urban area, populated area', 'mountain, mount', 'descent, declivity, fall, decline, declination, declension, downslope', 'landmark'], 'places': ['downtown', 'mountain', 'skyscraper', 'residential neighborhood', 'tower'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7033.HEIC.compressed.jpg,photos_97\n98,98,2019-04-01 18:30:50+08:00,2019-04-01 18:30:50+08:00,\"\"\"Majestic beauty.\"\"\",\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,\"{'objects': ['Mount scenery', 'Taiwan passport', 'Youtiao', 'Metropolitan area', 'City', 'city, metropolis, urban center', 'landmark', 'urban area, populated area', 'mountain, mount', 'descent, declivity, fall, decline, declination, declension, downslope'], 'places': ['mountain', 'tower', 'downtown', 'skyscraper', 'residential neighborhood'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7034.HEIC.compressed.jpg,photos_98\n99,99,2019-04-01 18:33:02+08:00,2019-04-01 18:33:02+08:00,\"\"\"A peaceful view.\"\"\",\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,\"{'objects': ['Mount scenery', 'Gaohu', 'Skyline', 'Cityscape', 'Hafei ruiyi', 'city, metropolis, urban center', 'urban area, populated area', 'china', 'hairpin', 'range, mountain range, range of mountains, chain, mountain chain, chain of mountains'], 'places': ['residential neighborhood', 'mountain', 'downtown', 'heliport', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7035.HEIC.compressed.jpg,photos_99\n100,100,2019-04-01 18:33:52+08:00,2019-04-01 18:33:52+08:00,\"\"\"A view from the top.\"\"\",\"Six Boulders Photographing Platform, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, Taiwan\",25.0267528,121.5742333,\"{'objects': ['Control tower', 'Landmark', 'Tower', 'Observation tower', 'Tower running', 'control tower', 'landmark', 'tower', 'skyscraper', 'night-light'], 'places': ['tower', 'skyscraper', 'volcano', 'office building', 'mountain'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7036.HEIC.compressed.jpg,photos_100\n101,101,2019-04-01 18:34:03+08:00,2019-04-01 18:34:03+08:00,\"\"\"A view from the top.\"\"\",\"101塔樓1號攝影平台, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, Taiwan\",25.0272722,121.5731361,\"{'objects': ['Landmark', 'Control tower', 'Tower', 'Chinese new year', 'Tower running', 'landmark', 'control tower', 'tower', 'candy cane', 'skyscraper'], 'places': ['tower', 'skyscraper', 'office building', 'volcano', 'pagoda'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7037.HEIC.compressed.jpg,photos_101\n102,102,2019-04-01 18:34:13+08:00,2019-04-01 18:34:13+08:00,Exploring the world from Taiwan.,\"梅花球場, 象山親山步道永春亭線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0272694,121.5730139,\"{'objects': ['Taiwan passport', 'City', 'Mount scenery', 'Transmission tower', 'Cityscape', 'city, metropolis, urban center', 'landmark', 'skyscraper', 'tower', 'mountain, mount'], 'places': ['skyscraper', 'tower', 'mountain', 'downtown', 'residential neighborhood'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7038.HEIC.compressed.jpg,photos_102\n103,103,2019-04-01 18:34:18+08:00,2019-04-01 18:34:18+08:00,Exploring Taiwan.,\"梅花球場, 象山親山步道永春亭線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0273167,121.5730667,\"{'objects': ['Taiwan passport', 'City', 'Cityscape', 'Mount scenery', 'Youtiao', 'city, metropolis, urban center', 'landmark', 'urban area, populated area', 'tower', 'control tower'], 'places': ['tower', 'skyscraper', 'downtown', 'mountain', 'residential neighborhood'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7039.HEIC.compressed.jpg,photos_103\n104,104,2019-04-01 18:44:00+08:00,2019-04-01 18:44:00+08:00,\"\"\"Youtiao in the Tower\"\"\",\"梅花球場, 象山親山步道永春亭線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0274,121.5723,\"{'objects': ['Youtiao', 'Mount scenery', 'Bamboo shoot', 'Taiwan passport', 'Transmission tower', 'landmark', 'varnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua', 'city, metropolis, urban center', 'lookout, observation tower, lookout station, observatory', 'tower'], 'places': ['tower', 'skyscraper', 'mountain', 'downtown', 'residential neighborhood'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7040.HEIC.compressed.jpg,photos_104\n105,105,2019-04-01 18:47:11+08:00,2019-04-01 18:47:11+08:00,Enjoying the view.,\"象山自然步道, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0272,121.5732,\"{'objects': ['Panorama', 'Mount scenery', 'Youtiao', 'Canopy walkway', 'Hiking', 'rose chestnut, ironwood, ironwood tree, Mesua ferrea', 'golden shower tree, drumstick tree, purging cassia, pudding pipe tree, canafistola, canafistula, Cassia fistula', 'varnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua', 'urban area, populated area', 'mountain ebony, orchid tree, Bauhinia variegata'], 'places': ['park', 'bamboo forest', 'pagoda', 'valley', 'mountain'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7041.HEIC.compressed.jpg,photos_105\n106,106,2019-04-01 18:54:00+08:00,2019-04-01 18:54:00+08:00,\"\"\"A view from the top.\"\"\",\"四獸山步道意象拍照座椅, 象山親山步道主線(稜線), Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0274,121.5716,\"{'objects': ['Tower', 'Skyscraper', 'Landmark', 'Tower running', 'Red stripe', 'tower', 'skyscraper', 'landmark', 'control tower', 'candy cane'], 'places': ['tower', 'skyscraper', 'office building', 'volcano', 'elevator shaft'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7042.HEIC.compressed.jpg,photos_106\n107,107,2019-04-02 19:09:25-07:00,2019-04-02 19:09:25-07:00,\"\"\"Find your path to success.\"\"\",\"State Highway 217, Randall County, Texas, United States\",34.98393380705451,-101.787210489917,\"{'objects': ['Self-help book', 'Biography', 'Non-fiction', 'Book cover', 'Bisquick', 'book', 'olive', 'olive', 'denim, dungaree, jean', 'top, cover'], 'places': ['bookstore', 'indoor general store', 'gift shop', 'candy store', 'nursing home'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7043.HEIC.compressed.jpg,photos_107\n108,108,2019-04-02 19:10:05-07:00,2019-04-02 19:10:05-07:00,\"\"\"Finding Solutions at Home\"\"\",\"State Highway 217, Randall County, Texas, United States\",34.98379426157431,-101.78735003539722,\"{'objects': ['Self-help book', 'Book cover', 'Non-fiction', 'Science book', 'Prune', 'book', 'top, cover', 'organdy, organdie', 'elderberry', 'hagberry'], 'places': ['pantry', 'pharmacy', 'nursing home', 'galley', 'bookstore'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7044.HEIC.compressed.jpg,photos_108\n109,109,2019-04-02 19:16:56-07:00,2019-04-02 19:16:56-07:00,\"\"\"Find your path to success.\"\"\",\"State Highway 217, Randall County, Texas, United States\",34.98393380705451,-101.787210489917,\"{'objects': ['Self-help book', 'Book cover', 'Book', 'Novel', 'Non-fiction', 'book', 'packet', 'top, cover', 'publication', 'packaging'], 'places': ['bookstore', 'office', 'gift shop', 'coffee shop', 'marsh'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7045.HEIC.compressed.jpg,photos_109\n110,110,2019-04-03 08:53:44-07:00,2019-04-03 08:53:44-07:00,\"\"\"Hotel Room Invoice\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03755147425116,-101.90860432341586,\"{'objects': ['Invoice', 'Document', 'Receipt', 'Mail', 'Mail', 'mailer', 'envelope', 'envelope', 'envelope', 'envelope, gasbag'], 'places': ['hotel room', 'motel', 'jail cell', 'nursing home', 'lobby'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7046.HEIC.compressed.jpg,photos_110\n111,111,2019-04-06 12:16:12-07:00,2019-04-06 12:16:12-07:00,\"\"\"A splash of color.\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.037572942786554,-101.90841110659711,\"{'objects': ['Lupinus mutabilis', 'Fernleaf lavender', 'Saffron crocus', 'Camas', 'Tommie crocus', \"\"wild lupine, sundial lupine, Indian beet, old-maid's bonnet, Lupinus perennis\"\", 'blazing star, button snakeroot, gayfeather, snakeroot', 'false lupine, golden pea, yellow pea, Thermopsis macrophylla', 'dwarf iris, Iris cristata', \"\"purple clematis, purple virgin's bower, mountain clematis, Clematis verticillaris\"\"], 'places': ['botanical garden', 'formal garden', 'yard', 'zen garden', 'japanese garden'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7047.HEIC.compressed.jpg,photos_111\n112,112,2019-04-06 12:16:37-07:00,2019-04-06 12:16:37-07:00,\"\"\"Fragrant beauty in the formal garden.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037453953429015,-101.9084895633598,\"{'objects': ['Lavandula lanata', 'Fernleaf lavender', 'French lavender', 'Lavandula dentata', 'Egyptian lavender', 'spike lavender, French lavender, Lavandula latifolia', 'French lavender, Lavandula stoechas', 'English lavender, Lavandula angustifolia, Lavandula officinalis', 'blazing star, button snakeroot, gayfeather, snakeroot', \"\"bog rose, wild pink, dragon's mouth, Arethusa bulbosa\"\"], 'places': ['formal garden', 'botanical garden', 'japanese garden', 'topiary garden', 'yard'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7048-EFFECTS.jpg.compressed.jpg,photos_112\n113,113,2019-04-06 12:16:36-07:00,2019-04-06 12:16:36-07:00,\"\"\"Fragrant beauty in the formal garden.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037453953429015,-101.9084895633598,\"{'objects': ['Lavandula lanata', 'Fernleaf lavender', 'French lavender', 'Lavandula dentata', 'Egyptian lavender', 'spike lavender, French lavender, Lavandula latifolia', 'French lavender, Lavandula stoechas', 'English lavender, Lavandula angustifolia, Lavandula officinalis', 'blazing star, button snakeroot, gayfeather, snakeroot', \"\"bog rose, wild pink, dragon's mouth, Arethusa bulbosa\"\"], 'places': ['formal garden', 'botanical garden', 'japanese garden', 'topiary garden', 'yard'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7048.HEIC.compressed.jpg,photos_113\n114,114,2019-04-06 12:17:05-07:00,2019-04-06 12:17:05-07:00,\"\"\"Fragrant beauty in the formal garden.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,\"{'objects': ['Fernleaf lavender', 'Camas', 'Lupinus mutabilis', 'Lavandula lanata', 'Saffron crocus', \"\"wild lupine, sundial lupine, Indian beet, old-maid's bonnet, Lupinus perennis\"\", 'spike lavender, French lavender, Lavandula latifolia', 'blazing star, button snakeroot, gayfeather, snakeroot', 'French lavender, Lavandula stoechas', 'wild sage, wild clary, vervain sage, Salvia verbenaca'], 'places': ['formal garden', 'botanical garden', 'yard', 'zen garden', 'japanese garden'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7049.HEIC.compressed.jpg,photos_114\n115,115,2019-04-06 12:17:19-07:00,2019-04-06 12:17:19-07:00,\"\"\"Fragrant beauty in the formal garden.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03752050588879,-101.90851128951766,\"{'objects': ['Lavandula lanata', 'Fernleaf lavender', 'Egyptian lavender', 'French lavender', 'Lavandula dentata', 'spike lavender, French lavender, Lavandula latifolia', 'French lavender, Lavandula stoechas', 'English lavender, Lavandula angustifolia, Lavandula officinalis', 'wild sage, wild clary, vervain sage, Salvia verbenaca', 'iris, flag, fleur-de-lis, sword lily'], 'places': ['formal garden', 'roof garden', 'yard', 'zen garden', 'topiary garden'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7050.HEIC.compressed.jpg,photos_115\n116,116,2019-04-06 12:17:32-07:00,2019-04-06 12:17:32-07:00,\"\"\"Fragrant beauty in the formal garden.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03752050588879,-101.90851128951766,\"{'objects': ['Lavandula lanata', 'Fernleaf lavender', 'Camas', 'Egyptian lavender', 'Iris japonica', 'purple willow, red willow, red osier, basket willow, purple osier, Salix purpurea', 'spike lavender, French lavender, Lavandula latifolia', 'snow plant, Sarcodes sanguinea', 'French lavender, Lavandula stoechas', 'wild sage, wild clary, vervain sage, Salvia verbenaca'], 'places': ['formal garden', 'japanese garden', 'botanical garden', 'yard', 'zen garden'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7051.HEIC.compressed.jpg,photos_116\n117,117,2019-04-06 12:17:40-07:00,2019-04-06 12:17:40-07:00,\"\"\"A tranquil oasis in the garden.\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.037562208518864,-101.9085077150065,\"{'objects': ['Smoketree', 'Redbud', 'Aesculus californica', 'Polygalaceae', 'Camas', 'smoke tree, smoke bush', 'purple willow, red willow, red osier, basket willow, purple osier, Salix purpurea', 'umbrella tree, umbrella magnolia, elkwood, elk-wood, Magnolia tripetala', 'flowering almond, oriental bush cherry, Prunus japonica', 'Japanese maple, full moon maple, Acer japonicum'], 'places': ['formal garden', 'botanical garden', 'japanese garden', 'yard', 'zen garden'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7052.HEIC.compressed.jpg,photos_117\n118,118,2019-04-10 15:59:42-07:00,2019-04-10 15:59:42-07:00,\"\"\"A splash of color in the desert.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03733794819794,-101.90882025394504,\"{'objects': ['Fernleaf lavender', 'French lavender', 'Lavandula lanata', 'Egyptian lavender', 'California lilac', 'spike lavender, French lavender, Lavandula latifolia', 'purple sage, chaparral sage, Salvia leucophylla', 'French lavender, Lavandula stoechas', 'English lavender, Lavandula angustifolia, Lavandula officinalis', \"\"purple heather, Brewer's mountain heather, Phyllodoce breweri\"\"], 'places': ['vegetation desert', 'yard', 'zen garden', 'botanical garden', 'lawn'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7053-EFFECTS.jpg.compressed.jpg,photos_118\n119,119,2019-04-10 15:59:41-07:00,2019-04-10 15:59:41-07:00,\"\"\"A splash of color in the desert.\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.0372723832908,-101.90888341437628,\"{'objects': ['Fernleaf lavender', 'French lavender', 'Lavandula lanata', 'California lilac', 'Egyptian lavender', 'purple sage, chaparral sage, Salvia leucophylla', 'spike lavender, French lavender, Lavandula latifolia', 'French lavender, Lavandula stoechas', 'English lavender, Lavandula angustifolia, Lavandula officinalis', 'wild sage, wild clary, vervain sage, Salvia verbenaca'], 'places': ['vegetation desert', 'yard', 'botanical garden', 'lawn', 'zen garden'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7053.HEIC.compressed.jpg,photos_119\n120,120,2019-04-11 16:03:08-07:00,2019-04-11 16:03:08-07:00,\"\"\"Fragrant beauty in the formal garden.\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,\"{'objects': ['Lavandula lanata', 'Fernleaf lavender', 'Lavandula dentata', 'French lavender', 'English lavender', 'English lavender, Lavandula angustifolia, Lavandula officinalis', 'spike lavender, French lavender, Lavandula latifolia', 'French lavender, Lavandula stoechas', 'verbena, vervain', 'wild sage, wild clary, vervain sage, Salvia verbenaca'], 'places': ['formal garden', 'zen garden', 'roof garden', 'lawn', 'driveway'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7055.HEIC.compressed.jpg,photos_120\n121,121,2019-04-11 17:50:51-07:00,2019-04-11 17:50:51-07:00,California Buckeye in bloom.,\"2962, Greg Street, Randall County, Texas, 79015, United States\",35.03706843220435,-101.90848624647114,\"{'objects': ['Aesculus californica', 'Chinese hawthorn', 'California laurel', 'Fruit tree', 'Crabapple', 'angiospermous tree, flowering tree', 'tangerine, tangerine tree', 'almond tree', 'mandarin, mandarin orange, mandarin orange tree, Citrus reticulata', 'clementine, clementine tree'], 'places': ['orchard', 'yard', 'lawn', 'zen garden', 'corral'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7056.HEIC.compressed.jpg,photos_121\n122,122,2019-04-11 17:50:53-07:00,2019-04-11 17:50:53-07:00,A burst of citrus in the orchard.,\"2962, Greg Street, Randall County, Texas, 79015, United States\",35.03706843220435,-101.90848624647114,\"{'objects': ['Calamondin', 'California laurel', 'Chinese hawthorn', 'Prunus spinosa', 'Fruit tree', 'angiospermous tree, flowering tree', 'almond tree', 'mandarin, mandarin orange, mandarin orange tree, Citrus reticulata', 'loquat, loquat tree, Japanese medlar, Japanese plum, Eriobotrya japonica', 'kumquat, cumquat, kumquat tree'], 'places': ['orchard', 'yard', 'corral', 'zen garden', 'japanese garden'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7057.HEIC.compressed.jpg,photos_122\n123,123,2019-04-11 17:51:04-07:00,2019-04-11 17:51:04-07:00,\"\"\"A bounty of fruit.\"\"\",\"2962, Greg Street, Randall County, Texas, 79015, United States\",35.037052330802794,-101.90863115908512,\"{'objects': ['Fruit tree', 'Crabapple', 'Prunus', 'Prunus spinosa', 'Wild crabapple', 'apple tree', 'peach, peach tree, Prunus persica', 'angiospermous tree, flowering tree', 'Southern crab apple, flowering crab, Malus angustifolia', 'almond tree'], 'places': ['orchard', 'yard', 'lawn', 'cultivated field', 'tree farm'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7058-EFFECTS.jpg.compressed.jpg,photos_123\n124,124,2019-04-11 17:51:03-07:00,2019-04-11 17:51:03-07:00,\"\"\"A splash of color.\"\"\",\"2962, Greg Street, Randall County, Texas, 79015, United States\",35.03704696366893,-101.9086794632898,\"{'objects': ['Crabapple', 'Fruit tree', 'Wild crabapple', 'Vinegar tree', 'Cedar bay cherry', 'apple tree', 'almond tree', 'peach, peach tree, Prunus persica', 'fruit tree', 'angiospermous tree, flowering tree'], 'places': ['orchard', 'yard', 'lawn', 'tree farm', 'corral'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7058.HEIC.compressed.jpg,photos_124\n125,125,2019-04-13 13:08:12-07:00,2019-04-13 13:08:12-07:00,\"\"\"A splash of color in the desert.\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,\"{'objects': ['Fernleaf lavender', 'Egyptian lavender', 'Lavandula lanata', 'French lavender', 'Lavandula dentata', 'blazing star, Mentzelia livicaulis, Mentzelia laevicaulis', \"\"common unicorn plant, devil's claw, common devil's claw, elephant-tusk, proboscis flower, ram's horn, Proboscidea louisianica\"\", 'wild sage, wild clary, vervain sage, Salvia verbenaca', 'spike lavender, French lavender, Lavandula latifolia', 'purple sage, chaparral sage, Salvia leucophylla'], 'places': ['vegetation desert', 'yard', 'wild field', 'zen garden', 'cultivated field'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7059.HEIC.compressed.jpg,photos_125\n126,126,2019-04-13 13:23:32-07:00,2019-04-13 13:23:32-07:00,\"\"\"A splash of color in the desert.\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,\"{'objects': ['Fernleaf lavender', 'French lavender', 'Egyptian lavender', 'Lavandula lanata', 'Lavandula dentata', 'purple sage, chaparral sage, Salvia leucophylla', \"\"California fuchsia, humming bird's trumpet, Epilobium canum canum, Zauschneria californica\"\", 'spike lavender, French lavender, Lavandula latifolia', 'French lavender, Lavandula stoechas', \"\"common unicorn plant, devil's claw, common devil's claw, elephant-tusk, proboscis flower, ram's horn, Proboscidea louisianica\"\"], 'places': ['vegetation desert', 'lawn', 'yard', 'zen garden', 'house'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7060.HEIC.compressed.jpg,photos_126\n127,127,2019-04-13 13:23:49-07:00,2019-04-13 13:23:49-07:00,California Poppies in bloom.,\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.03716504061369,-101.90873313462832,\"{'objects': ['Eschscholzia californica', 'Narrow-leaved sundrops', 'Corn poppy', 'Tree poppy', 'Poppy family', 'California poppy, Eschscholtzia californica', 'wind poppy, flaming poppy, Stylomecon heterophyllum, Papaver heterophyllum', 'matilija poppy, California tree poppy, Romneya coulteri', 'corn poppy, field poppy, Flanders poppy, Papaver rhoeas', 'Iceland poppy, Papaver alpinum'], 'places': ['yard', 'wild field', 'lawn', 'cultivated field', 'hayfield'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7061.HEIC.compressed.jpg,photos_127\n128,128,2019-04-13 13:24:21-07:00,2019-04-13 13:24:21-07:00,\"\"\"Fragrant beauty.\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,\"{'objects': ['Fernleaf lavender', 'French lavender', 'Lavandula lanata', 'Egyptian lavender', 'Lavandula dentata', 'purple sage, chaparral sage, Salvia leucophylla', 'spike lavender, French lavender, Lavandula latifolia', 'English lavender, Lavandula angustifolia, Lavandula officinalis', 'French lavender, Lavandula stoechas', 'blazing star, button snakeroot, gayfeather, snakeroot'], 'places': ['yard', 'driveway', 'vegetation desert', 'zen garden', 'lawn'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7062.HEIC.compressed.jpg,photos_128\n129,129,2019-04-14 08:23:09-07:00,2019-04-14 08:23:09-07:00,\"\"\"A splash of color in the desert.\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.037562208518864,-101.9085077150065,\"{'objects': ['Rock rose', 'Polygalaceae', 'California wild rose', 'Pink evening primrose', 'Subshrub', 'rockrose, rock rose', 'flowering shrub', 'pink, garden pink', 'portulaca', 'Wynnea sparassoides'], 'places': ['vegetation desert', 'botanical garden', 'yard', 'wild field', 'driveway'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7063.HEIC.compressed.jpg,photos_129\n130,130,2019-04-14 08:23:14-07:00,2019-04-14 08:23:14-07:00,\"\"\"A splash of color in the desert.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,\"{'objects': ['Rock rose', 'Subshrub', 'Polygalaceae', 'Garden cosmos', 'Spurflowers', 'rockrose, rock rose', 'maiden pink, Dianthus deltoides', 'china pink, rainbow pink, Dianthus chinensis', 'Swan River daisy, Brachycome Iberidifolia', 'pink, garden pink'], 'places': ['vegetation desert', 'botanical garden', 'yard', 'wild field', 'park'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7064.HEIC.compressed.jpg,photos_130\n131,131,2019-04-14 11:09:42-07:00,2019-04-14 11:09:42-07:00,\"\"\"Beauty in the Garden\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,\"{'objects': ['Rock rose', 'Eschscholzia californica', 'Large-flowered evening primrose ', 'Mentzelia lindleyi', 'Spurflowers', 'rockrose, rock rose', 'portulaca', 'Swan River daisy, Brachycome Iberidifolia', 'rose moss, sun plant, Portulaca grandiflora', 'wandflower, Sparaxis tricolor'], 'places': ['botanical garden', 'vegetation desert', 'lawn', 'yard', 'wild field'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7065.HEIC.compressed.jpg,photos_131\n132,132,2019-04-14 11:09:56-07:00,2019-04-14 11:09:56-07:00,\"\"\"A splash of color in the desert.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,\"{'objects': ['Rock rose', 'Spurflowers', 'Zinnia angustifolia', 'Blanket flowers', 'Candytuft', 'rockrose, rock rose', 'Swan River daisy, Brachycome Iberidifolia', 'rose moss, sun plant, Portulaca grandiflora', 'portulaca', 'maiden pink, Dianthus deltoides'], 'places': ['vegetation desert', 'botanical garden', 'yard', 'wild field', 'lawn'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7066.HEIC.compressed.jpg,photos_132\n133,133,2019-04-14 19:19:06-07:00,2019-04-14 19:19:06-07:00,\"\"\"A peaceful retreat in nature.\"\"\",\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.288,-123.1128,\"{'objects': ['Eco hotel', 'Convention center', 'Very large floating structure', 'Floating restaurant', 'Hotel', 'waterfront', 'hotel', 'conference center, conference house', 'houseboat', 'sun deck'], 'places': ['outdoor hotel', 'heliport', 'conference center', 'roof garden', 'hotel room'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7067.HEIC.compressed.jpg,photos_133\n134,134,2019-04-14 19:28:23-07:00,2019-04-14 19:28:23-07:00,\"\"\"A view from above.\"\"\",\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.28790000000001,-123.1127,\"{'objects': ['Convention center', 'Roof', 'Hotel', 'Eco hotel', 'Resort', 'roof', 'roof', 'hotel', 'waterfront', 'conference center, conference house'], 'places': ['roof garden', 'outdoor hotel', 'conference center', 'heliport', 'outdoor swimming pool'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7070.HEIC.compressed.jpg,photos_134\n135,135,2019-04-14 20:40:40-07:00,2019-04-14 20:40:40-07:00,\"\"\"A modern marvel.\"\"\",\"999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3L6, Canada\",49.2882,-123.1128,\"{'objects': ['Cable-stayed bridge', 'Segmental bridge', 'Fixed link', 'Skyway', 'Self-anchored suspension bridge', 'spinnaker', 'sail', 'marina', 'port', 'strip lighting'], 'places': ['bridge', 'harbor', 'restaurant', 'berth', 'outdoor hotel'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7071.HEIC.compressed.jpg,photos_135\n136,136,2019-04-15 08:03:01-07:00,2019-04-15 08:03:01-07:00,\"\"\"A gathering place for all.\"\"\",\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.288,-123.1127,\"{'objects': ['Convention center', 'Hotel', 'Mixed-use', 'Very large floating structure', 'Artificial island', 'waterfront', 'hotel', 'conference center, conference house', 'sun deck', 'roof'], 'places': ['outdoor hotel', 'heliport', 'roof garden', 'conference center', 'hotel room'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7073.HEIC.compressed.jpg,photos_136\n137,137,2019-04-15 08:03:20-07:00,2019-04-15 08:03:20-07:00,\"\"\"A view of the conference center.\"\"\",\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.288,-123.1128,\"{'objects': ['Panorama', 'Convention center', 'Resort', 'Peninsula', 'Beach ridge', 'waterfront', 'conference center, conference house', 'bay', 'hotel', 'oceanfront'], 'places': ['conference center', 'heliport', 'outdoor hotel', 'harbor', 'coast'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7074.HEIC.compressed.jpg,photos_137\n138,138,2019-04-15 12:16:09-07:00,2019-04-15 12:16:09-07:00,\"\"\"Step into style.\"\"\",\"Canada Place, West Waterfront Road, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0B9, Canada\",49.2883,-123.1144,\"{'objects': ['Shoe', 'Slip-on shoe', 'Walking shoe', 'Golf shoe', 'Running shoe', 'shoe', 'shoe', 'running shoe', 'heel', 'shoebox'], 'places': ['shoe shop', 'wave', 'indoor booth', 'dressing room', 'iceberg'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7075.HEIC.compressed.jpg,photos_138\n139,139,2019-04-15 12:34:01-07:00,2019-04-15 12:34:01-07:00,\"\"\"Tasty and healthy!\"\"\",\"Fairmont Pacific Rim, 1038, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0B9, Canada\",49.2883,-123.1167,\"{'objects': ['Veggie burger', 'Kiwiburger', 'Hamburger', 'Fast food', 'American food', 'hamburger, beefburger, burger', 'fast food', 'cheeseburger', 'convenience food', 'food, nutrient'], 'places': ['fastfood restaurant', 'restaurant', 'outdoor diner', 'food court', 'cafeteria'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7076.HEIC.compressed.jpg,photos_139\n140,140,2019-04-15 13:45:18-07:00,2019-04-15 13:45:18-07:00,\"\"\"Cooking made easy!\"\"\",\"Waterfront Nails & Waxing, 42, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.116,\"{'objects': ['Electric griddle', 'Waffle iron', 'Sandwich toaster', 'Food warmer', 'Toaster oven', 'waffle iron', 'griddle', 'toaster oven', 'appliance', 'toaster'], 'places': ['kitchen', 'galley', 'restaurant kitchen', 'car interior', 'television room'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7078.HEIC.compressed.jpg,photos_140\n141,141,2019-04-15 13:47:29-07:00,2019-04-15 13:47:29-07:00,\"\"\"Keeping it warm.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.1163,\"{'objects': ['Food warmer', 'Food dehydrator', 'Toaster oven', 'Food steamer', 'Oven', 'toaster oven', 'oven', 'microwave, microwave oven', 'gas oven', 'gas oven'], 'places': ['indoor booth', 'pizzeria', 'kitchen', 'restaurant kitchen', 'conference room'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7079.HEIC.compressed.jpg,photos_141\n142,142,2019-04-15 13:47:35-07:00,2019-04-15 13:47:35-07:00,\"\"\"Preserving the harvest.\"\"\",\"Waterfront Nails & Waxing, 42, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.1159,\"{'objects': ['Food dehydrator', 'Bread machine', 'Food steamer', 'Breadbox', 'Sandwich toaster', 'toaster oven', 'bread-bin, breadbox', 'kitchen appliance', 'toaster', 'appliance'], 'places': ['kitchen', 'galley', 'restaurant kitchen', 'shop bakery', 'sauna'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7080.HEIC.compressed.jpg,photos_142\n143,143,2019-04-15 14:19:43-07:00,2019-04-15 14:19:43-07:00,Brewing up a fresh cup of coffee.,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.11649999999996,\"{'objects': ['Barista', 'Single-origin coffee', 'Espresso machine', 'Coffeemaker', 'Drip coffee maker', 'espresso maker', 'coffee maker', 'tamp, tamper, tamping bar', 'espresso', 'cafe, coffeehouse, coffee shop, coffee bar'], 'places': ['coffee shop', 'galley', 'indoor booth', 'cafeteria', 'conference center'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7081.HEIC.compressed.jpg,photos_143\n144,144,2019-04-15 14:19:45-07:00,2019-04-15 14:19:45-07:00,\"\"\"Freshly brewed.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.11649999999996,\"{'objects': ['Single-origin coffee', 'Barista', 'Espresso machine', 'Espresso', 'Drip coffee maker', 'espresso maker', 'coffee maker', 'espresso', 'tamp, tamper, tamping bar', 'cafe, coffeehouse, coffee shop, coffee bar'], 'places': ['coffee shop', 'indoor booth', 'galley', 'conference center', 'indoor general store'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7082.HEIC.compressed.jpg,photos_144\n145,145,2019-04-15 14:19:50-07:00,2019-04-15 14:19:50-07:00,\"\"\"Freshly brewed.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.1166,\"{'objects': ['Single-origin coffee', 'Barista', 'Espresso machine', 'Portafilter', 'Drip coffee maker', 'espresso maker', 'cafe, coffeehouse, coffee shop, coffee bar', 'coffee maker', 'espresso', 'tamp, tamper, tamping bar'], 'places': ['coffee shop', 'indoor booth', 'galley', 'indoor general store', 'bar'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7083.HEIC.compressed.jpg,photos_145\n146,146,2019-04-15 14:19:55-07:00,2019-04-15 14:19:55-07:00,Brewing up a fresh cup of coffee.,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.1166,\"{'objects': ['Barista', 'Espresso machine', 'Portafilter', 'Ristretto', 'Cortado', 'espresso maker', 'tamp, tamper, tamping bar', 'roaster', 'cafe, coffeehouse, coffee shop, coffee bar', 'coffee maker'], 'places': ['coffee shop', 'indoor general store', 'galley', 'assembly line', 'cockpit'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7084.HEIC.compressed.jpg,photos_146\n147,147,2019-04-15 14:19:56-07:00,2019-04-15 14:19:56-07:00,Brewing up a fresh cup of coffee.,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1167,\"{'objects': ['Barista', 'Espresso machine', 'Portafilter', 'Cortado', 'Coffee grinder', 'espresso maker', 'tamp, tamper, tamping bar', 'espresso', 'roaster', 'cafe, coffeehouse, coffee shop, coffee bar'], 'places': ['coffee shop', 'indoor general store', 'galley', 'assembly line', 'cockpit'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7085.HEIC.compressed.jpg,photos_147\n148,148,2019-04-15 14:20:02-07:00,2019-04-15 14:20:02-07:00,Brewing a perfect cup.,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1167,\"{'objects': ['Portafilter', 'Lever', 'Coffee grinder', 'Beer tap', 'Tap wrench', 'tamp, tamper, tamping bar', 'lever', 'lever', 'espresso maker', 'lever, lever tumbler'], 'places': ['coffee shop', 'bar', 'galley', 'lock chamber', 'restaurant kitchen'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7086.HEIC.compressed.jpg,photos_148\n149,149,2019-04-15 14:20:03-07:00,2019-04-15 14:20:03-07:00,Brewing a perfect cup.,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1168,\"{'objects': ['Portafilter', 'Corzetti', 'Coffee grinder', 'Lever', 'Moka pot', 'tamp, tamper, tamping bar', 'espresso maker', 'lever', 'lever', 'espresso'], 'places': ['coffee shop', 'galley', 'bar', 'lock chamber', 'delicatessen'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7087.HEIC.compressed.jpg,photos_149\n150,150,2019-04-15 14:20:07-07:00,2019-04-15 14:20:07-07:00,Brewing a perfect cup.,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1168,\"{'objects': ['Espresso machine', 'Barista', 'Single-origin coffee', 'Coffeemaker', 'Drip coffee maker', 'espresso maker', 'coffee maker', 'cafe, coffeehouse, coffee shop, coffee bar', 'espresso', 'tamp, tamper, tamping bar'], 'places': ['coffee shop', 'indoor booth', 'indoor general store', 'galley', 'conference center'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7088.HEIC.compressed.jpg,photos_150\n151,151,2019-04-15 14:20:07-07:00,2019-04-15 14:20:07-07:00,Brewing up a fresh cup of coffee.,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1168,\"{'objects': ['Barista', 'Espresso machine', 'Single-origin coffee', 'Coffeemaker', 'Ristretto', 'espresso maker', 'coffee maker', 'espresso', 'cafe, coffeehouse, coffee shop, coffee bar', 'roaster'], 'places': ['coffee shop', 'indoor booth', 'indoor general store', 'galley', 'conference center'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7089.HEIC.compressed.jpg,photos_151\n152,152,2019-04-15 14:20:08-07:00,2019-04-15 14:20:08-07:00,Brewing a perfect cup.,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1168,\"{'objects': ['Espresso machine', 'Barista', 'Espressino', 'Ristretto', 'Single-origin coffee', 'espresso maker', 'espresso', 'roaster', 'coffee maker', 'tamp, tamper, tamping bar'], 'places': ['coffee shop', 'galley', 'indoor booth', 'indoor general store', 'delicatessen'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7090.HEIC.compressed.jpg,photos_152\n153,153,2019-04-15 14:20:19-07:00,2019-04-15 14:20:19-07:00,Brewing a perfect cup.,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.11649999999996,\"{'objects': ['Espresso machine', 'Barista', 'Single-origin coffee', 'Coffee grinder', 'Espressino', 'espresso maker', 'roaster', 'espresso', 'coffee maker', 'cafe, coffeehouse, coffee shop, coffee bar'], 'places': ['coffee shop', 'indoor booth', 'galley', 'indoor general store', 'conference center'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7091.HEIC.compressed.jpg,photos_153\n154,154,2019-04-15 14:20:20-07:00,2019-04-15 14:20:20-07:00,Brewing up a fresh cup of coffee.,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.11649999999996,\"{'objects': ['Barista', 'Espresso machine', 'Coffee grinder', 'Single-origin coffee', 'Roasted grain beverage', 'roaster', 'espresso maker', 'cafe, coffeehouse, coffee shop, coffee bar', 'espresso', 'coffee maker'], 'places': ['coffee shop', 'galley', 'indoor booth', 'delicatessen', 'indoor general store'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7092.HEIC.compressed.jpg,photos_154\n155,155,2019-04-15 15:21:26-07:00,2019-04-15 15:21:26-07:00,\"\"\"A peaceful view.\"\"\",\"Bellaggio Café & Gelateria, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1149,\"{'objects': ['Harbor', 'Seaplane tender', 'Strait', 'Bulk carrier', 'Cruiseferry', 'waterfront', 'harbor, harbour', 'tugboat, tug, towboat, tower', 'dock, dockage, docking facility', 'container ship, containership, container vessel'], 'places': ['harbor', 'berth', 'pier', 'mountain snowy', 'coast'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7093.HEIC.compressed.jpg,photos_155\n156,156,2019-04-15 15:25:50-07:00,2019-04-15 15:25:50-07:00,Celebrating Victoria Day in the harbor.,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.28790000000001,-123.1128,\"{'objects': ['Victoria day', 'Lacustrine plain', 'Strait', 'Body of water', 'Panorama', 'waterfront', 'body of water, water', 'geographical area, geographic area, geographical region, geographic region', 'tract, piece of land, piece of ground, parcel of land, parcel', 'land, dry land, earth, ground, solid ground, terra firma'], 'places': ['harbor', 'coast', 'mountain', 'berth', 'downtown'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7094.HEIC.compressed.jpg,photos_156\n157,157,2019-04-15 15:25:58-07:00,2019-04-15 15:25:58-07:00,Aerial view of the heliport.,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.288,-123.11249999999998,\"{'objects': ['Panorama', 'Artificial island', 'Convention center', 'Victoria day', 'Very large floating structure', 'waterfront', 'conference center, conference house', 'body of water, water', 'sun deck', 'hotel'], 'places': ['heliport', 'conference center', 'outdoor hotel', 'hotel room', 'harbor'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7095.HEIC.compressed.jpg,photos_157\n158,158,2019-04-15 18:30:43-07:00,2019-04-15 18:30:43-07:00,\"\"\"Ready for the show!\"\"\",\"Waterfront Nails & Waxing, 42, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.116,\"{'objects': ['Stage', 'Performance', 'Auditorium', 'Public speaking', 'Projection screen', 'stage', 'auditorium', 'projection', 'cardioid microphone', 'bandstand, outdoor stage, stand'], 'places': ['indoor stage', 'performance arena', 'auditorium', 'outdoor stage', 'amphitheater'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7099.HEIC.compressed.jpg,photos_158\n159,159,2019-04-15 18:30:48-07:00,2019-04-15 18:30:48-07:00,\"\"\"Ready for the show!\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,\"{'objects': ['Stage', 'Performance', 'Auditorium', 'Concert', 'Projection screen', 'stage', 'auditorium', 'projection', 'gig', 'cardioid microphone'], 'places': ['indoor stage', 'performance arena', 'outdoor stage', 'auditorium', 'amphitheater'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7100.HEIC.compressed.jpg,photos_159\n160,160,2019-04-15 18:31:20-07:00,2019-04-15 18:31:20-07:00,\"\"\"A captivating performance.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.116,\"{'objects': ['Performance', 'Stage', 'Concert', 'Auditorium', 'Rock concert', 'stage', 'auditorium', 'gig', 'performer, performing artist', 'video recording, video'], 'places': ['indoor stage', 'performance arena', 'auditorium', 'outdoor stage', 'public atrium'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7101.HEIC.compressed.jpg,photos_160\n161,161,2019-04-15 18:31:22-07:00,2019-04-15 18:31:22-07:00,\"\"\"A captivating performance.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.116,\"{'objects': ['Performance', 'Stage', 'Concert', 'Auditorium', 'Musical Performance Sports', 'stage', 'auditorium', 'gig', 'performer, performing artist', 'video recording, video'], 'places': ['indoor stage', 'performance arena', 'auditorium', 'outdoor stage', 'ballroom'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7102.HEIC.compressed.jpg,photos_161\n162,162,2019-04-16 07:52:35-07:00,2019-04-16 07:52:35-07:00,\"\"\"Explore the possibilities with an interactive kiosk.\"\"\",\"Shaw Tower, 1067;1077, West Cordova Street, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6E 0C3, Canada\",49.2885,-123.1177,\"{'objects': ['Interactive kiosk', 'Copy stand', 'Kiosk', 'Enterprise software', 'Display advertising', 'booth, cubicle, stall, kiosk', 'stall, stand, sales booth', 'stand', 'display, video display', 'voting booth'], 'places': ['indoor booth', 'ticket booth', 'public atrium', 'elevator lobby', 'phone booth'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7106.HEIC.compressed.jpg,photos_162\n163,163,2019-04-16 07:52:38-07:00,2019-04-16 07:52:38-07:00,\"\"\"Explore the possibilities with an interactive kiosk.\"\"\",\"Shaw Tower, 1067;1077, West Cordova Street, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6E 0C3, Canada\",49.2885,-123.1176,\"{'objects': ['Interactive kiosk', 'Kiosk', 'Copy stand', 'Room divider', 'Photo booth', 'booth, cubicle, stall, kiosk', 'stall, stand, sales booth', 'stand', 'display, video display', 'voting booth'], 'places': ['indoor booth', 'ticket booth', 'phone booth', 'elevator lobby', 'conference center'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7107.HEIC.compressed.jpg,photos_163\n164,164,2019-04-16 07:52:47-07:00,2019-04-16 07:52:47-07:00,\"\"\"Explore the possibilities with an interactive kiosk.\"\"\",\"Shaw Tower, 1067;1077, West Cordova Street, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6E 0C3, Canada\",49.2885,-123.1177,\"{'objects': ['Interactive kiosk', 'Copy stand', 'Enterprise software', 'Room divider', 'Kiosk', 'booth, cubicle, stall, kiosk', 'stand', 'stall, stand, sales booth', 'facility, installation', 'partition, divider'], 'places': ['indoor booth', 'ticket booth', 'entrance hall', 'phone booth', 'elevator lobby'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7108.HEIC.compressed.jpg,photos_164\n165,165,2019-04-16 07:52:51-07:00,2019-04-16 07:52:51-07:00,\"\"\"Explore the possibilities with an interactive kiosk.\"\"\",\"Shaw Tower, 1067;1077, West Cordova Street, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6E 0C3, Canada\",49.2885,-123.1176,\"{'objects': ['Interactive kiosk', 'Room divider', 'Queue area', 'Copy stand', 'Kiosk', 'booth, cubicle, stall, kiosk', 'passageway', 'stand', 'partition, divider', 'anteroom, antechamber, entrance hall, hall, foyer, lobby, vestibule'], 'places': ['indoor booth', 'elevator lobby', 'entrance hall', 'lobby', 'corridor'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7109.HEIC.compressed.jpg,photos_165\n166,166,2019-04-16 10:02:50-07:00,2019-04-16 10:02:50-07:00,\"\"\"Ready to present!\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.1159,\"{'objects': ['Presentation', 'Public speaking', 'Map', 'Africanis', 'Ndolé', 'samite', 'map', 'African', 'projection', 'Black African'], 'places': ['indoor stage', 'performance arena', 'auditorium', 'outdoor stage', 'conference center'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7110.HEIC.compressed.jpg,photos_166\n167,167,2019-04-16 10:35:31-07:00,2019-04-16 10:35:31-07:00,\"\"\"Healthy and delicious!\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.11649999999996,\"{'objects': ['Superfood', 'Beef brain', 'Coffee substitute', 'Brain', 'Brain', 'green mayonnaise, sauce verte', 'dietary supplement', 'food, nutrient', 'micronutrient', 'smoothie'], 'places': ['coffee shop', 'cafeteria', 'broadleaf forest', 'restaurant', 'bar'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7111.HEIC.compressed.jpg,photos_167\n168,168,2019-04-16 11:33:45-07:00,2019-04-16 11:33:45-07:00,\"\"\"Ready to rock!\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.116,\"{'objects': ['Microphone stand', 'Otamatone', 'Public speaking', 'Speaker', 'Lectern', 'cardioid microphone', 'Speaker', 'Segway, Segway Human Transporter, Segway HT', 'speaker, talker, utterer, verbalizer, verbaliser', 'front projector'], 'places': ['indoor stage', 'performance arena', 'outdoor stage', 'auditorium', 'conference room'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7113.HEIC.compressed.jpg,photos_168\n169,169,2019-04-16 15:58:10-07:00,2019-04-16 15:58:10-07:00,\"\"\"Sharing ideas.\"\"\",\"2010 Olympic Cauldron, Jack Poole Plaza, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0B9, Canada\",49.2891,-123.1175,\"{'objects': ['Presentation', 'Tzouras', 'Website', 'Foundation', 'Organization', 'framework', 'web site, website, internet site, site', 'housing, lodging, living accommodations', 'executive, executive director', 'dowel, dowel pin, joggle'], 'places': ['conference room', 'conference center', 'archive', 'building facade', 'stable'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7116.HEIC.compressed.jpg,photos_169\n170,170,2019-04-17 08:56:50-07:00,2019-04-17 08:56:50-07:00,\"\"\"Speaking to a crowd.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2894,-123.1161,\"{'objects': ['Public speaking', 'Presentation', 'Lecture', 'Learning', 'Audience', 'social scientist', 'projection', 'speaker, talker, utterer, verbalizer, verbaliser', 'culture medium, medium', 'sociologist'], 'places': ['auditorium', 'lecture room', 'performance arena', 'indoor stage', 'public atrium'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7118.HEIC.compressed.jpg,photos_170\n171,171,2019-04-17 09:16:52-07:00,2019-04-17 09:16:52-07:00,\"\"\"Speaking to a crowd.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2895,-123.1161,\"{'objects': ['Public speaking', 'Presentation', 'Projection screen', 'Conference hall', 'Multimedia projector', 'projection', 'auditorium', 'stage', 'Speaker', 'cardioid microphone'], 'places': ['auditorium', 'indoor stage', 'performance arena', 'lecture room', 'outdoor stage'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7119.HEIC.compressed.jpg,photos_171\n172,172,2019-04-17 09:51:56-07:00,2019-04-17 09:51:56-07:00,\"\"\"Tech on the go.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,\"{'objects': ['Ipad', 'Digital photo frame', 'Screenshot', 'Snapshot', 'Screen', 'screen', 'display, video display', 'flat panel display, FPD', 'picture frame', 'stunt'], 'places': ['runway', 'street', 'staircase', 'crosswalk', 'sandbox'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7122.HEIC.compressed.jpg,photos_172\n173,173,2019-04-17 12:32:29-07:00,2019-04-17 12:32:29-07:00,\"\"\"Urban living at its finest.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1159,\"{'objects': ['Mixed-use', 'Presentation', 'Skyscraper', 'Building', 'Tower', 'skyscraper', 'projection', 'tower', 'high-rise, tower block', 'building complex, complex'], 'places': ['skyscraper', 'tower', 'building facade', 'conference center', 'office building'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7124.HEIC.compressed.jpg,photos_173\n174,174,2019-04-17 12:35:20-07:00,2019-04-17 12:35:20-07:00,\"\"\"Putting for glory!\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1161,\"{'objects': ['Pitch and putt', 'Indoor games and sports', 'Ladder golf', 'Public speaking', 'Speed golf', 'practice range', 'course', 'course', 'golf course, links course', 'projection'], 'places': ['performance arena', 'golf course', 'outdoor ice skating rink', 'ski slope', 'indoor ice skating rink'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7126.HEIC.compressed.jpg,photos_174\n175,175,2019-04-17 12:43:24-07:00,2019-04-17 12:43:24-07:00,\"\"\"Sustainable hospitality at its finest.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1161,\"{'objects': ['Eco hotel', 'Resort', 'Presentation', 'Resort town', 'Conference hall', 'resort, resort hotel, holiday resort', 'housing, lodging, living accommodations', 'resort area, playground, vacation spot', 'housing', 'resort hotel, spa'], 'places': ['conference center', 'outdoor hotel', 'public atrium', 'auditorium', 'campus'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7127.HEIC.compressed.jpg,photos_175\n176,176,2019-04-17 12:43:27-07:00,2019-04-17 12:43:27-07:00,\"\"\"A tranquil oasis in the city.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1159,\"{'objects': ['Eco hotel', 'Presentation', 'Outdoor structure', 'Artificial island', 'Canopy walkway', 'solar house', 'housing, lodging, living accommodations', 'slide, playground slide, sliding board', 'projection', 'resort area, playground, vacation spot'], 'places': ['public atrium', 'performance arena', 'indoor stage', 'roof garden', 'exterior balcony'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7128.HEIC.compressed.jpg,photos_176\n177,177,2019-04-17 13:44:56-07:00,2019-04-17 13:44:56-07:00,Academic minds come together.,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2895,-123.115,\"{'objects': ['Academic conference', 'Conference hall', 'Seminar', 'Yarrow', 'Public speaking', 'conference table, council table, council board', 'panel', 'social scientist', 'microeconomist, microeconomic expert', 'rafter, balk, baulk'], 'places': ['conference room', 'conference center', 'lecture room', 'recreation room', 'waiting room'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7129.HEIC.compressed.jpg,photos_177\n178,178,2019-04-17 18:34:48-07:00,2019-04-17 18:34:48-07:00,\"\"\"Speaking Under the Sea\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver 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'Academic conference', 'Seminar', 'Social group', 'Class', 'crucible, melting pot', 'speaker, talker, utterer, verbalizer, verbaliser', 'orator, speechmaker, rhetorician, public speaker, speechifier', 'choir', 'hijab'], 'places': ['classroom', 'conference room', 'auditorium', 'conference center', 'lobby'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7143.HEIC.compressed.jpg,photos_182\n183,183,2019-04-18 17:10:13-07:00,2019-04-18 17:10:13-07:00,\"\"\"Aerialist in flight.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2893528,-123.11579999999998,\"{'objects': ['Aerialist', 'Trapeze', 'Static trapeze', 'Flying trapeze', 'Stunt', 'aerialist', 'trapeze', 'acrobat', 'circus acrobat', 'stunt'], 'places': ['performance arena', 'indoor stage', 'indoor hangar', 'auditorium', 'arch'], 'tags': ['animal']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7147.HEIC.compressed.jpg,photos_183\n184,184,2019-04-19 11:21:20-07:00,2019-04-19 11:21:20-07:00,\"\"\"Speaking to the crowd.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896694,-123.1161028,\"{'objects': ['Public speaking', 'Singing', 'Stage', 'Concert', 'Performance', 'stage', 'auditorium', 'cardioid microphone', 'gig', 'speaker, talker, utterer, verbalizer, verbaliser'], 'places': ['indoor stage', 'performance arena', 'auditorium', 'outdoor stage', 'amphitheater'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7153.HEIC.compressed.jpg,photos_184\n185,185,2019-04-19 11:22:29-07:00,2019-04-19 11:22:29-07:00,\"\"\"Speaking to the crowd.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897194,-123.1159972,\"{'objects': ['Public speaking', 'Singing', 'Stage', 'Performance', 'Conformation show', 'stage', 'Mountie', 'choir', 'cowboy hat, ten-gallon hat', 'gig'], 'places': ['indoor stage', 'performance arena', 'outdoor stage', 'auditorium', 'corral'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7154.HEIC.compressed.jpg,photos_185\n186,186,2019-04-19 11:34:21-07:00,2019-04-19 11:34:21-07:00,\"\"\"Ready to present!\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896806,-123.1160278,\"{'objects': ['Presentation', 'Event', 'Public speaking', 'Conference hall', 'Broadcasting', 'broadcasting', 'speaker, talker, utterer, verbalizer, verbaliser', 'stage', 'television, telecasting, TV, video', 'auditorium'], 'places': ['auditorium', 'indoor stage', 'outdoor stage', 'performance arena', 'conference center'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7155.HEIC.compressed.jpg,photos_186\n187,187,2019-04-19 11:37:25-07:00,2019-04-19 11:37:25-07:00,\"\"\"Ready to present!\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897222,-123.1160056,\"{'objects': ['Presentation', 'Public speaking', 'Award ceremony', 'Event', 'Conference hall', 'display, video display', 'stage', 'projection', 'broadcasting', 'video recording, video'], 'places': ['indoor stage', 'auditorium', 'performance arena', 'conference center', 'outdoor stage'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7156.HEIC.compressed.jpg,photos_187\n188,188,2019-04-19 11:38:46-07:00,2019-04-19 11:38:46-07:00,\"\"\"Speaking to a crowd.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.28954720000001,-123.1160139,\"{'objects': ['Public speaking', 'Presentation', 'Event', 'Audience', 'Stage', 'projection', 'stage', 'auditorium', 'display, video display', 'speaker, talker, utterer, verbalizer, verbaliser'], 'places': ['auditorium', 'indoor stage', 'performance arena', 'public atrium', 'outdoor stage'], 'tags': ['animal']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7157.HEIC.compressed.jpg,photos_188\n189,189,2019-04-19 11:39:45-07:00,2019-04-19 11:39:45-07:00,\"\"\"Speaking to a crowd.\"\"\",\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.28975,-123.1159056,\"{'objects': ['Public speaking', 'Presentation', 'Auditorium', 'Conference hall', 'Award ceremony', 'auditorium', 'speaker, talker, utterer, verbalizer, verbaliser', 'stage', 'projection', 'broadcasting'], 'places': ['auditorium', 'indoor stage', 'performance arena', 'conference center', 'public atrium'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7158.HEIC.compressed.jpg,photos_189\n190,190,2019-04-20 11:12:11-07:00,2019-04-20 11:12:11-07:00,\"\"\"Luxury at its finest.\"\"\",\"Old School Iron, 3928, Business Park Drive, Western Business Park, Amarillo, Randall County, Texas, 79110, United States\",35.14413922100794,-101.87999029728296,\"{'objects': ['Tesla bluestar', 'Tesla', 'Musk', 'Tesla roadster', 'Electric car', 'copilot, co-pilot', 'electric, electric automobile, electric car', 'tourist, tourer, holidaymaker', 'fjord, fiord', 'dashboard, fascia'], 'places': ['car interior', 'wind farm', 'crevasse', 'desert road', 'cockpit'], 'tags': ['vehicle']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7161.HEIC.compressed.jpg,photos_190\n191,191,2019-04-20 13:02:58-07:00,2019-04-20 13:02:58-07:00,\"\"\"Fragrant beauty in the formal garden.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03744471122455,-101.90857274320028,\"{'objects': ['Fernleaf lavender', 'English lavender', 'French lavender', 'Aubretia', 'Garden phlox', 'purple sage, chaparral sage, Salvia leucophylla', 'blazing star, Mentzelia livicaulis, Mentzelia laevicaulis', 'wild sage, wild clary, vervain sage, Salvia verbenaca', 'English lavender, Lavandula angustifolia, Lavandula officinalis', 'common sage, ramona, Salvia officinalis'], 'places': ['formal garden', 'zen garden', 'driveway', 'yard', 'patio'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7162.HEIC.compressed.jpg,photos_191\n192,192,2019-04-20 14:04:32-07:00,2019-04-20 14:04:32-07:00,\"\"\"Grab and go!\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.0374716220337,-101.90854823686712,\"{'objects': ['Energy bar', 'Trail mix', 'Animal source foods', 'Spread', 'Whole food', 'bite, collation, snack', 'packet', 'grab bag', 'spread, paste', 'candy bar'], 'places': ['pantry', 'candy store', 'bar', 'assembly line', 'archive'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7163.HEIC.compressed.jpg,photos_192\n193,193,2019-04-20 17:58:49-07:00,2019-04-20 17:58:49-07:00,\"\"\"Medical care in progress.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037502558193225,-101.90861030240296,\"{'objects': ['Invoice', 'Document', 'Letter', 'Receipt', 'Health care', 'envelope', 'envelope', 'envelope', 'envelope, gasbag', 'mailer'], 'places': ['hospital', 'hospital room', 'manufactured home', 'jail cell', 'hotel room'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7164.HEIC.compressed.jpg,photos_193\n194,194,2019-04-20 17:58:54-07:00,2019-04-20 17:58:54-07:00,\"\"\"Medical care in progress.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037479361440695,-101.90860249859033,\"{'objects': ['Invoice', 'Voucher', 'Receipt', 'Document', 'Letter', 'envelope', 'envelope', 'envelope', 'Spam', 'policyholder'], 'places': ['hospital room', 'hospital', 'hotel room', 'manufactured home', 'motel'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7165.HEIC.compressed.jpg,photos_194\n195,195,2019-04-21 10:33:26-07:00,2019-04-21 10:33:26-07:00,\"\"\"A splash of color in the woods.\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03766621283866,-101.90862552359462,\"{'objects': ['Sweet pepperbush', 'Spirea', 'Viburnum prunifolium', 'Groundcover', 'Subshrub', 'blueberry, blueberry bush', 'flowering shrub', 'blue pimpernel, blue skullcap, mad-dog skullcap, mad-dog weed, Scutellaria lateriflora', 'Oregon grape, Oregon holly grape, hollygrape, mountain grape, holly-leaves barberry, Mahonia aquifolium', 'spirea, spiraea'], 'places': ['broadleaf forest', 'lawn', 'yard', 'botanical garden', 'vegetation desert'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7166.HEIC.compressed.jpg,photos_195\n196,196,2019-04-21 11:39:34-07:00,2019-04-21 11:39:34-07:00,\"\"\"California Buckeye in bloom\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.03732577553836,-101.9088371496824,\"{'objects': ['Aesculus californica', 'Smoketree', 'Parlour maple', 'Garden', 'Prunus spinosa', 'Japanese maple, full moon maple, Acer japonicum', 'red maple, scarlet maple, swamp maple, Acer rubrum', 'varnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua', 'copper beech, purple beech, Fagus sylvatica atropunicea, Fagus purpurea, Fagus sylvatica purpurea', 'oriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata'], 'places': ['japanese garden', 'zen garden', 'formal garden', 'roof garden', 'yard'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7167.HEIC.compressed.jpg,photos_196\n197,197,2019-04-21 11:39:50-07:00,2019-04-21 11:39:50-07:00,\"\"\"California Buckeye in bloom\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03747303895704,-101.90859688456833,\"{'objects': ['Aesculus californica', 'Smoketree', 'Redbud', 'Wisteria', 'California lilac', 'Japanese maple, full moon maple, Acer japonicum', 'smoke tree, smoke bush', 'scarlet wisteria tree, vegetable hummingbird, Sesbania grandiflora', 'redbud, Cercis canadensis', 'Japanese wistaria, Wisteria floribunda'], 'places': ['japanese garden', 'zen garden', 'yard', 'botanical garden', 'formal garden'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7168.HEIC.compressed.jpg,photos_197\n198,198,2019-04-21 11:41:20-07:00,2019-04-21 11:41:20-07:00,\"\"\"Beautiful smoketree in the yard.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03744678293821,-101.90867801416366,\"{'objects': ['Smoketree', 'Aesculus californica', 'Parlour maple', 'Crape myrtle', 'Silver Maple', 'Japanese maple, full moon maple, Acer japonicum', 'smoke tree, smoke bush', 'red maple, scarlet maple, swamp maple, Acer rubrum', 'Oregon maple, big-leaf maple, Acer macrophyllum', 'varnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua'], 'places': ['yard', 'driveway', 'japanese garden', 'porch', 'house'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7169.HEIC.compressed.jpg,photos_198\n199,199,2019-04-21 11:41:39-07:00,2019-04-21 11:41:39-07:00,\"\"\"Beautiful smoketree in the driveway.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03745391049196,-101.90858260799229,\"{'objects': ['Smoketree', 'Aesculus californica', 'Maple', 'Parlour maple', 'Black maple', 'Japanese maple, full moon maple, Acer japonicum', 'red maple, scarlet maple, swamp maple, Acer rubrum', 'Oregon maple, big-leaf maple, Acer macrophyllum', 'smoke tree, smoke bush', 'California box elder, Acer negundo Californicum'], 'places': ['driveway', 'yard', 'house', 'japanese garden', 'lawn'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7170.HEIC.compressed.jpg,photos_199\n200,200,2019-04-23 08:14:56-07:00,2019-04-23 08:14:56-07:00,\"\"\"Fragrant beauty.\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03756368984783,-101.90861829943243,\"{'objects': ['Fernleaf lavender', 'French lavender', 'Lavandula lanata', 'Lavandula dentata', 'English lavender', 'spike lavender, French lavender, Lavandula latifolia', 'French lavender, Lavandula stoechas', 'English lavender, Lavandula angustifolia, Lavandula officinalis', 'purple sage, chaparral sage, Salvia leucophylla', 'wild sage, wild clary, vervain sage, Salvia verbenaca'], 'places': ['driveway', 'patio', 'zen garden', 'yard', 'mountain path'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7173-EFFECTS.jpg.compressed.jpg,photos_200\n201,201,2019-04-23 08:14:55-07:00,2019-04-23 08:14:55-07:00,\"\"\"Fragrant beauty.\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03756368984783,-101.90861829943243,\"{'objects': ['Fernleaf lavender', 'French lavender', 'Lavandula lanata', 'Lavandula dentata', 'Egyptian lavender', 'spike lavender, French lavender, Lavandula latifolia', 'French lavender, Lavandula stoechas', 'English lavender, Lavandula angustifolia, Lavandula officinalis', 'purple sage, chaparral sage, Salvia leucophylla', 'wild sage, wild clary, vervain sage, Salvia verbenaca'], 'places': ['driveway', 'patio', 'yard', 'zen garden', 'lawn'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7173.HEIC.compressed.jpg,photos_201\n202,202,2019-04-23 12:25:08-07:00,2019-04-23 12:25:08-07:00,Grocery shopping done!,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03745841888442,-101.90857329064792,\"{'objects': ['Receipt', 'Coupon', 'Shopping list', 'Nutrition facts label', 'Voucher', 'checkout, checkout counter', 'bite, collation, snack', 'grocery bag', 'cash register, register', 'smoothie'], 'places': ['supermarket', 'drugstore', 'delicatessen', 'pantry', 'cafeteria'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7175.HEIC.compressed.jpg,photos_202\n203,203,2019-04-24 18:32:53-07:00,2019-04-24 18:32:53-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0619556,-112.1084528,\"{'objects': ['Canyon', 'National park', 'Geographical feature', 'State park', 'Landform', 'overlook', 'canyon, canon', 'precipice', 'Seven Wonders of the Ancient World, Seven Wonders of the World', 'descent, declivity, fall, decline, declination, declension, downslope'], 'places': ['canyon', 'butte', 'valley', 'crevasse', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7176.HEIC.compressed.jpg,photos_203\n204,204,2019-04-24 18:35:19-07:00,2019-04-24 18:35:19-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.062175,-112.1088944,\"{'objects': ['Canyon', 'National park', 'Geological phenomenon', 'Geographical feature', 'Panorama', 'precipice', 'overlook', 'Seven Wonders of the Ancient World, Seven Wonders of the World', 'canyon, canon', 'chasm'], 'places': ['canyon', 'butte', 'crevasse', 'cliff', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7177.HEIC.compressed.jpg,photos_204\n205,205,2019-04-24 18:35:28-07:00,2019-04-24 18:35:28-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0621722,-112.1088861,\"{'objects': ['Canyon', 'National park', 'Panorama', 'Geographical feature', 'Geological phenomenon', 'overlook', 'Seven Wonders of the Ancient World, Seven Wonders of the World', 'canyon, canon', 'precipice', 'chasm'], 'places': ['canyon', 'crevasse', 'butte', 'cliff', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7178.HEIC.compressed.jpg,photos_205\n206,206,2019-04-24 18:35:38-07:00,2019-04-24 18:35:38-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0621722,-112.1088778,\"{'objects': ['Canyon', 'National park', 'Landform', 'Geological phenomenon', 'Panorama', 'geological formation, formation', 'ridge', 'butte', 'moraine', 'peak, crown, crest, top, tip, summit'], 'places': ['canyon', 'butte', 'mountain', 'crevasse', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7179.HEIC.compressed.jpg,photos_206\n207,207,2019-04-24 18:43:55-07:00,2019-04-24 18:43:55-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.062125,-112.1087889,\"{'objects': ['Canyon', 'National park', 'Geographical feature', 'Landform', 'Geological phenomenon', 'canyon, canon', 'Seven Wonders of the Ancient World, Seven Wonders of the World', 'overlook', 'precipice', 'butte'], 'places': ['canyon', 'butte', 'cliff', 'valley', 'crevasse'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7186.HEIC.compressed.jpg,photos_207\n208,208,2019-04-24 18:45:25-07:00,2019-04-24 18:45:25-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0620833,-112.1088639,\"{'objects': ['Canyon', 'National park', 'Geographical feature', 'Geological phenomenon', 'Eagle summit', 'overlook', 'canyon, canon', 'precipice', 'chasm', 'gorge'], 'places': ['canyon', 'butte', 'crevasse', 'cliff', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7187.HEIC.compressed.jpg,photos_208\n209,209,2019-04-24 18:50:35-07:00,2019-04-24 18:50:35-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Grand Canyon, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0629583,-112.1095972,\"{'objects': ['Canyon', 'National park', 'Landform', 'Geographical feature', 'Geology', 'canyon, canon', 'Seven Wonders of the Ancient World, Seven Wonders of the World', 'precipice', 'overlook', 'geological formation, formation'], 'places': ['canyon', 'butte', 'cliff', 'valley', 'crevasse'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7189.HEIC.compressed.jpg,photos_209\n210,210,2019-04-24 18:52:17-07:00,2019-04-24 18:52:17-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0626,-112.1107639,\"{'objects': ['Canyon', 'National park', 'State park', 'Arizona Cypress', 'Outcrop', 'canyon, canon', 'overlook', 'ridge', 'gorge', 'precipice'], 'places': ['canyon', 'butte', 'vegetation desert', 'valley', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7190-EFFECTS.jpg.compressed.jpg,photos_210\n211,211,2019-04-24 18:52:16-07:00,2019-04-24 18:52:16-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0626,-112.1107639,\"{'objects': ['Canyon', 'National park', 'Ridge', 'State park', 'Arizona Cypress', 'overlook', 'canyon, canon', 'ridge', 'ridge, ridgeline', 'butte'], 'places': ['canyon', 'butte', 'vegetation desert', 'valley', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7190.HEIC.compressed.jpg,photos_211\n212,212,2019-04-24 18:55:48-07:00,2019-04-24 18:55:48-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0632028,-112.1114972,\"{'objects': ['Canyon', 'National park', 'State park', 'Panorama', 'Geological phenomenon', 'overlook', 'canyon, canon', 'precipice', 'gorge', 'chasm'], 'places': ['canyon', 'butte', 'crevasse', 'valley', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7191.HEIC.compressed.jpg,photos_212\n213,213,2019-04-24 18:55:59-07:00,2019-04-24 18:55:59-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0633083,-112.1118083,\"{'objects': ['Canyon', 'National park', 'Panorama', 'Geographical feature', 'Geological phenomenon', 'overlook', 'canyon, canon', 'precipice', 'geological formation, formation', 'gorge'], 'places': ['canyon', 'butte', 'cliff', 'valley', 'crevasse'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7192.HEIC.compressed.jpg,photos_213\n214,214,2019-04-24 18:59:17-07:00,2019-04-24 18:59:17-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0632556,-112.1116944,\"{'objects': ['Canyon', 'Kaibab Squirrel', 'California condor', 'Dog hiking', 'National park', 'overlook', 'California condor, Gymnogyps californianus', 'precipice', 'kachina', 'chasm'], 'places': ['canyon', 'cliff', 'butte', 'valley', 'crevasse'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7193.HEIC.compressed.jpg,photos_214\n215,215,2019-04-24 18:59:23-07:00,2019-04-24 18:59:23-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0632556,-112.1116944,\"{'objects': ['Canyon', 'National park', 'Geological phenomenon', 'State park', 'Geographical feature', 'overlook', 'canyon, canon', 'gorge', 'precipice', 'chasm'], 'places': ['canyon', 'butte', 'crevasse', 'cliff', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7194.HEIC.compressed.jpg,photos_215\n216,216,2019-04-24 18:59:30-07:00,2019-04-24 18:59:30-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0632556,-112.1116944,\"{'objects': ['Canyon', 'National park', 'State park', 'Geological phenomenon', 'Geology', 'overlook', 'canyon, canon', 'gorge', 'precipice', 'chasm'], 'places': ['canyon', 'butte', 'cliff', 'valley', 'rock arch'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7195.HEIC.compressed.jpg,photos_216\n217,217,2019-04-24 19:06:22-07:00,2019-04-24 19:06:22-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0645306,-112.1132667,\"{'objects': ['Canyon', 'National park', 'Geological phenomenon', 'State park', 'Geographical feature', 'overlook', 'canyon, canon', 'precipice', 'Seven Wonders of the Ancient World, Seven Wonders of the World', 'outcrop, outcropping, rock outcrop'], 'places': ['canyon', 'butte', 'crevasse', 'cliff', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7196.HEIC.compressed.jpg,photos_217\n218,218,2019-04-24 19:07:27-07:00,2019-04-24 19:07:27-07:00,\"\"\"A new day dawns.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0644083,-112.1134722,\"{'objects': ['Sunrise', 'Canyon', 'Two needle pinyon pine', 'Western juniper', 'National park', 'overlook', 'descent, declivity, fall, decline, declination, declension, downslope', 'gorge', 'ponderosa, ponderosa pine, western yellow pine, bull pine, Pinus ponderosa', 'table-mountain pine, prickly pine, hickory pine, Pinus pungens'], 'places': ['canyon', 'valley', 'cliff', 'butte', 'campsite'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7197.HEIC.compressed.jpg,photos_218\n219,219,2019-04-24 19:10:19-07:00,2019-04-24 19:10:19-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0649139,-112.1152111,\"{'objects': ['Canyon', 'National park', 'Panorama', 'State park', 'Geological phenomenon', 'canyon, canon', 'overlook', 'gorge', 'Seven Wonders of the Ancient World, Seven Wonders of the World', 'outcrop, outcropping, rock outcrop'], 'places': ['canyon', 'butte', 'cliff', 'crevasse', 'vegetation desert'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7198.HEIC.compressed.jpg,photos_219\n220,220,2019-04-24 19:10:24-07:00,2019-04-24 19:10:24-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0649139,-112.1152111,\"{'objects': ['Canyon', 'National park', 'Panorama', 'State park', 'Granite dome', 'canyon, canon', 'overlook', 'wraparound', 'Seven Wonders of the Ancient World, Seven Wonders of the World', 'moraine'], 'places': ['canyon', 'butte', 'cliff', 'crevasse', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7199.HEIC.compressed.jpg,photos_220\n221,221,2019-04-24 19:13:51-07:00,2019-04-24 19:13:51-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.065675,-112.1167972,\"{'objects': ['Canyon', 'National park', 'Western juniper', 'Arizona Cypress', 'Two needle pinyon pine', 'overlook', 'precipice', 'chasm', 'canyon, canon', 'descent, declivity, fall, decline, declination, declension, downslope'], 'places': ['canyon', 'crevasse', 'butte', 'cliff', 'vegetation desert'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7200.HEIC.compressed.jpg,photos_221\n222,222,2019-04-24 19:13:55-07:00,2019-04-24 19:13:55-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.065675,-112.1167972,\"{'objects': ['Canyon', 'National park', 'Western juniper', 'State park', 'Red juniper', 'overlook', 'precipice', 'chasm', 'wilderness, wild', 'canyon, canon'], 'places': ['canyon', 'butte', 'crevasse', 'cliff', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7201.HEIC.compressed.jpg,photos_222\n223,223,2019-04-24 19:15:23-07:00,2019-04-24 19:15:23-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Yavapai East 7451-7483, Yavapai Lodge Road, Grand Canyon Village, Coconino County, Arizona, United States\",36.0595167,-112.11605,\"{'objects': ['Canyon', 'Sunrise', 'Panorama', 'National park', 'Sunset', 'overlook', 'descent, declivity, fall, decline, declination, declension, downslope', 'canyon, canon', 'cliff dwelling', 'geographic point, geographical point'], 'places': ['canyon', 'butte', 'valley', 'crevasse', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7202.HEIC.compressed.jpg,photos_223\n224,224,2019-04-24 19:21:41-07:00,2019-04-24 19:21:41-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0658417,-112.1168139,\"{'objects': ['Canyon', 'National park', 'Geological phenomenon', 'Panorama', 'Geology', 'overlook', 'precipice', 'canyon, canon', 'gorge', 'chasm'], 'places': ['canyon', 'butte', 'crevasse', 'cliff', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7221.HEIC.compressed.jpg,photos_224\n225,225,2019-04-24 19:21:48-07:00,2019-04-24 19:21:48-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,\"{'objects': ['Canyon', 'National park', 'Geological phenomenon', 'Geographical feature', 'Geology', 'overlook', 'precipice', 'canyon, canon', 'chasm', 'gorge'], 'places': ['canyon', 'butte', 'crevasse', 'cliff', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7222.HEIC.compressed.jpg,photos_225\n226,226,2019-04-25 05:37:52-07:00,2019-04-25 05:37:52-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602028,-112.1063833,\"{'objects': ['Canyon', 'Sunrise', 'Sunset', 'Dawn', 'Horizon', 'descent, declivity, fall, decline, declination, declension, downslope', 'canyon, canon', 'overlook', 'precipice', 'gorge'], 'places': ['canyon', 'butte', 'crevasse', 'valley', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7223.HEIC.compressed.jpg,photos_226\n227,227,2019-04-25 05:39:19-07:00,2019-04-25 05:39:19-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0610167,-112.1069806,\"{'objects': ['Canyon', 'Sunrise', 'Panorama', 'National park', 'Sunset', 'overlook', 'descent, declivity, fall, decline, declination, declension, downslope', 'canyon, canon', 'gorge', 'chasm'], 'places': ['canyon', 'crevasse', 'valley', 'butte', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7224.HEIC.compressed.jpg,photos_227\n228,228,2019-04-25 05:41:32-07:00,2019-04-25 05:41:32-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Yavapai East 7451-7483, Yavapai Lodge Road, Grand Canyon Village, Coconino County, Arizona, United States\",36.0591917,-112.1162806,\"{'objects': ['Canyon', 'Sunrise', 'Dawn', 'Sunset', 'Panorama', 'overlook', 'canyon, canon', 'descent, declivity, fall, decline, declination, declension, downslope', 'peak, crown, crest, top, tip, summit', 'gorge'], 'places': ['canyon', 'butte', 'valley', 'mountain', 'crevasse'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7225.HEIC.compressed.jpg,photos_228\n229,229,2019-04-25 05:43:36-07:00,2019-04-25 05:43:36-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601278,-112.1067583,\"{'objects': ['Canyon', 'Sunrise', 'Lens flare', 'National park', 'Dawn', 'overlook', 'canyon, canon', 'Seven Wonders of the Ancient World, Seven Wonders of the World', 'descent, declivity, fall, decline, declination, declension, downslope', 'mount, setting'], 'places': ['canyon', 'valley', 'butte', 'cliff', 'mountain'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7230.HEIC.compressed.jpg,photos_229\n230,230,2019-04-25 05:43:42-07:00,2019-04-25 05:43:42-07:00,\"\"\"A new day dawns.\"\"\",\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601722,-112.1067111,\"{'objects': ['Sunrise', 'Canyon', 'Lens flare', 'Panorama', 'Sundowner', 'overlook', 'Seven Wonders of the Ancient World, Seven Wonders of the World', 'canyon, canon', 'descent, declivity, fall, decline, declination, declension, downslope', 'peak, crown, crest, top, tip, summit'], 'places': ['canyon', 'valley', 'butte', 'crevasse', 'mountain'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7231.HEIC.compressed.jpg,photos_230\n231,231,2019-04-25 05:44:01-07:00,2019-04-25 05:44:01-07:00,\"\"\"A new day dawns.\"\"\",\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601667,-112.1066806,\"{'objects': ['Sunrise', 'Lens flare', 'Sundowner', 'Eagle summit', 'Canyon', 'peak, crown, crest, top, tip, summit', 'overlook', 'canyon, canon', 'ridge', 'calash, caleche, calash top'], 'places': ['canyon', 'butte', 'valley', 'mountain', 'crevasse'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7234.HEIC.compressed.jpg,photos_231\n232,232,2019-04-25 05:44:16-07:00,2019-04-25 05:44:16-07:00,\"\"\"A burst of light in the canyon.\"\"\",\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601722,-112.106675,\"{'objects': ['Lens flare', 'Sundowner', 'Sunrise', 'Eagle summit', 'Panorama', 'rundle, spoke, rung', 'peak, crown, crest, top, tip, summit', 'canyon, canon', 'South African', 'mount, setting'], 'places': ['canyon', 'valley', 'mountain', 'butte', 'crevasse'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7235.HEIC.compressed.jpg,photos_232\n233,233,2019-04-25 05:44:18-07:00,2019-04-25 05:44:18-07:00,\"\"\"A new day dawns.\"\"\",\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601722,-112.106675,\"{'objects': ['Sunrise', 'Lens flare', 'Canyon', 'Sunset', 'Sundowner', 'sun, Sun', 'overlook', 'parhelion, mock sun, sundog', 'canyon, canon', 'aperture'], 'places': ['canyon', 'crevasse', 'valley', 'butte', 'mountain'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7236.HEIC.compressed.jpg,photos_233\n234,234,2019-04-25 05:44:23-07:00,2019-04-25 05:44:23-07:00,\"\"\"A burst of light in the canyon.\"\"\",\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601722,-112.106675,\"{'objects': ['Lens flare', 'Sunrise', 'Canyon', 'Sundowner', 'Sunset', 'overlook', 'canyon, canon', 'cliff, drop, drop-off', 'gorge', 'precipice'], 'places': ['canyon', 'butte', 'valley', 'cliff', 'mountain'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7237.HEIC.compressed.jpg,photos_234\n235,235,2019-04-25 05:45:05-07:00,2019-04-25 05:45:05-07:00,\"\"\"A new day dawns.\"\"\",\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601472,-112.106575,\"{'objects': ['Sunrise', 'Canyon', 'Sunset', 'Lens flare', 'Eagle summit', 'overlook', 'gorge', 'descent, declivity, fall, decline, declination, declension, downslope', 'canyon, canon', 'precipice'], 'places': ['canyon', 'crevasse', 'valley', 'cliff', 'butte'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7238.HEIC.compressed.jpg,photos_235\n236,236,2019-04-25 05:46:17-07:00,2019-04-25 05:46:17-07:00,\"\"\"A new day dawns.\"\"\",\"Yavapai East 7451-7483, Yavapai Lodge Road, Grand Canyon Village, Coconino County, Arizona, United States\",36.0592583,-112.1160139,\"{'objects': ['Sunrise', 'Sundowner', 'Lens flare', 'Wadi', 'Alpine aster', 'canyon, canon', 'South African', 'overlook', 'gorge', 'sun, Sun'], 'places': ['canyon', 'valley', 'butte', 'badlands', 'mountain'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7239.HEIC.compressed.jpg,photos_236\n237,237,2019-04-25 05:46:26-07:00,2019-04-25 05:46:26-07:00,\"\"\"A new day dawns.\"\"\",\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0603056,-112.1064694,\"{'objects': ['Sunrise', 'Eagle summit', 'Lens flare', 'Sunset', 'Summit', 'whitebark pine, whitebarked pine, Pinus albicaulis', 'bill, peak, eyeshade, visor, vizor', 'bristlecone pine, Rocky Mountain bristlecone pine, Pinus aristata', 'peak, crown, crest, top, tip, summit', 'alpinist'], 'places': ['canyon', 'valley', 'mountain', 'butte', 'badlands'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7240.HEIC.compressed.jpg,photos_237\n238,238,2019-04-25 05:47:17-07:00,2019-04-25 05:47:17-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602528,-112.1067361,\"{'objects': ['Canyon', 'National park', 'Cliff dwelling', 'Cliff', 'Panorama', 'overlook', 'precipice', 'cliff dwelling', 'chasm', 'canyon, canon'], 'places': ['canyon', 'cliff', 'crevasse', 'butte', 'mountain path'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7241.HEIC.compressed.jpg,photos_238\n239,239,2019-04-25 05:47:39-07:00,2019-04-25 05:47:39-07:00,\"\"\"A new day dawns.\"\"\",\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602917,-112.106575,\"{'objects': ['Sunrise', 'Lens flare', 'Canyon', 'Sunset', 'Corona', 'overlook', 'gorge', 'canyon, canon', 'precipice', 'descent, declivity, fall, decline, declination, declension, downslope'], 'places': ['canyon', 'valley', 'cliff', 'crevasse', 'butte'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7242.HEIC.compressed.jpg,photos_239\n240,240,2019-04-25 05:47:50-07:00,2019-04-25 05:47:50-07:00,\"\"\"A new day dawns.\"\"\",\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602917,-112.106575,\"{'objects': ['Sunrise', 'Canyon', 'Lens flare', 'Sunset', 'Panorama', 'overlook', 'canyon, canon', 'gorge', 'sun, Sun', 'descent, declivity, fall, decline, declination, declension, downslope'], 'places': ['canyon', 'valley', 'crevasse', 'rock arch', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7243-EFFECTS.jpg.compressed.jpg,photos_240\n241,241,2019-04-25 05:47:49-07:00,2019-04-25 05:47:49-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602917,-112.106575,\"{'objects': ['Canyon', 'Sunrise', 'Lens flare', 'Sunset', 'National park', 'overlook', 'gorge', 'canyon, canon', 'descent, declivity, fall, decline, declination, declension, downslope', 'precipice'], 'places': ['canyon', 'valley', 'crevasse', 'cliff', 'butte'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7243.HEIC.compressed.jpg,photos_241\n242,242,2019-04-25 05:54:16-07:00,2019-04-25 05:54:16-07:00,\"\"\"Majestic Elk\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0616194,-112.1087111,\"{'objects': ['Elk', 'Bighorn', 'Barbary sheep', 'Feral goat', 'Grazing', 'wapiti, elk, American elk, Cervus elaphus canadensis', 'aoudad, arui, audad, Barbary sheep, maned sheep, Ammotragus lervia', 'mule deer, burro deer, Odocoileus hemionus', 'red deer, elk, American elk, wapiti, Cervus elaphus', 'elk, European elk, moose, Alces alces'], 'places': ['pasture', 'campsite', 'park', 'outdoor museum', 'butte'], 'tags': ['animal']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7244.HEIC.compressed.jpg,photos_242\n243,243,2019-04-25 05:54:36-07:00,2019-04-25 05:54:36-07:00,\"\"\"Enjoying the view.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0616417,-112.1086056,\"{'objects': ['Grazing', 'Elk', 'Arabian camel', 'Camel', 'Bighorn', 'camel', 'Arabian camel, dromedary, Camelus dromedarius', 'wapiti, elk, American elk, Cervus elaphus canadensis', 'red deer, elk, American elk, wapiti, Cervus elaphus', 'bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis'], 'places': ['driveway', 'corral', 'watering hole', 'park', 'outdoor diner'], 'tags': ['animal']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7245.HEIC.compressed.jpg,photos_243\n244,244,2019-04-25 05:59:41-07:00,2019-04-25 05:59:41-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0623139,-112.1087639,\"{'objects': ['Canyon', 'Sunrise', 'National park', 'Eagle summit', 'Lens flare', 'overlook', 'canyon, canon', 'gorge', 'descent, declivity, fall, decline, declination, declension, downslope', 'ridge'], 'places': ['canyon', 'valley', 'cliff', 'mountain', 'crevasse'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7246.HEIC.compressed.jpg,photos_244\n245,245,2019-04-25 06:10:13-07:00,2019-04-25 06:10:13-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Yavapai East 7451-7483, Yavapai Lodge Road, Grand Canyon Village, Coconino County, Arizona, United States\",36.0593028,-112.1160444,\"{'objects': ['Canyon', 'National park', 'Geographical feature', 'Cinder cone', 'Geological phenomenon', 'overlook', 'precipice', 'chasm', 'canyon, canon', 'geographic point, geographical point'], 'places': ['canyon', 'crevasse', 'butte', 'cliff', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7247.HEIC.compressed.jpg,photos_245\n246,246,2019-04-25 06:40:46-07:00,2019-04-25 06:40:46-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0647917,-112.1226056,\"{'objects': ['Canyon', 'National park', 'Geographical feature', 'Landform', 'Panorama', 'overlook', 'butte', 'precipice', 'moraine', 'geographic point, geographical point'], 'places': ['canyon', 'butte', 'crevasse', 'cliff', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7248.HEIC.compressed.jpg,photos_246\n247,247,2019-04-25 06:43:27-07:00,2019-04-25 06:43:27-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0648639,-112.12243610000002,\"{'objects': ['Canyon', 'National park', 'Geographical feature', 'Landform', 'Geological phenomenon', 'overlook', 'canyon, canon', 'moraine', 'butte', 'gorge'], 'places': ['canyon', 'butte', 'crevasse', 'cliff', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7249.HEIC.compressed.jpg,photos_247\n248,248,2019-04-25 07:03:31-07:00,2019-04-25 07:03:31-07:00,\"\"\"Nature's Artwork\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0581694,-112.1264333,\"{'objects': ['Geological phenomenon', 'Geology', 'Rockfall', 'Poster board', 'Outcrop', 'geological formation, formation', 'sign', 'outcrop, outcropping, rock outcrop', 'poster, posting, placard, notice, bill, card', 'repository, monument'], 'places': ['cliff', 'canyon', 'outdoor museum', 'rock arch', 'badlands'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7250.HEIC.compressed.jpg,photos_248\n249,249,2019-04-25 07:21:47-07:00,2019-04-25 07:21:47-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"1.5 Mile Resthouse, Bright Angel Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0590972,-112.1394972,\"{'objects': ['Canyon', 'National park', 'Geographical feature', 'Alluvial fan', 'Geological phenomenon', 'overlook', 'chasm', 'precipice', 'canyon, canon', 'moraine'], 'places': ['canyon', 'crevasse', 'butte', 'cliff', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7251.HEIC.compressed.jpg,photos_249\n250,250,2019-04-25 07:27:41-07:00,2019-04-25 07:27:41-07:00,\"\"\"A peaceful view.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0573194,-112.1321556,\"{'objects': ['Two needle pinyon pine', 'Arizona Cypress', 'Red juniper', 'Western juniper', 'Mexican pinyon', 'gymnospermous tree', 'shade tree', 'Arizona cypress, Cupressus arizonica', 'ponderosa, ponderosa pine, western yellow pine, bull pine, Pinus ponderosa', 'treelet'], 'places': ['canyon', 'butte', 'vegetation desert', 'cliff', 'crevasse'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7252.HEIC.compressed.jpg,photos_250\n251,251,2019-04-25 07:27:43-07:00,2019-04-25 07:27:43-07:00,\"\"\"A peaceful view.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0573194,-112.1321556,\"{'objects': ['Two needle pinyon pine', 'Arizona Cypress', 'Red juniper', 'Western juniper', 'Gambel oak', 'shade tree', 'gymnospermous tree', 'Arizona cypress, Cupressus arizonica', 'treelet', 'ponderosa, ponderosa pine, western yellow pine, bull pine, Pinus ponderosa'], 'places': ['canyon', 'butte', 'crevasse', 'vegetation desert', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7253.HEIC.compressed.jpg,photos_251\n252,252,2019-04-25 08:54:45-07:00,2019-04-25 08:54:45-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0630694,-112.1239611,\"{'objects': ['Canyon', 'National park', 'Geographical feature', 'Cinder cone', 'Landform', 'overlook', 'canyon, canon', 'moraine', 'precipice', 'chasm'], 'places': ['canyon', 'crevasse', 'butte', 'valley', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7254.HEIC.compressed.jpg,photos_252\n253,253,2019-04-25 14:38:48-07:00,2019-04-25 14:38:48-07:00,\"\"\"Nature's beauty.\"\"\",\"AZ 89A, Uptown Sedona, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8663472,-111.7747417,\"{'objects': ['Landscaping', 'Arizona Cypress', 'Panorama', 'Butte', 'Canyon', 'butte', 'dude ranch', 'outcrop, outcropping, rock outcrop', 'overlook', 'backyard'], 'places': ['butte', 'canyon', 'vegetation desert', 'outdoor church', 'mountain'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7261.HEIC.compressed.jpg,photos_253\n254,254,2019-04-25 14:39:05-07:00,2019-04-25 14:39:05-07:00,\"\"\"Exploring nature's beauty.\"\"\",\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8665167,-111.7749417,\"{'objects': ['Landscaping', 'Canyon', 'Arizona Cypress', 'Panorama', 'State park', 'butte', 'dude ranch', 'overlook', 'mountainside, versant', 'outcrop, outcropping, rock outcrop'], 'places': ['canyon', 'butte', 'vegetation desert', 'mountain', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7262.HEIC.compressed.jpg,photos_254\n255,255,2019-04-25 17:54:13-07:00,2019-04-25 17:54:13-07:00,\"\"\"A view of Butte from the Butte.\"\"\",\"Sedona Airport Overlook, Airport Road, Copper Vista Estates, Sedona, Yavapai County, Arizona, 86336, United States\",34.8535194,-111.7898167,\"{'objects': ['Butte', 'Cinder cone', 'Granite dome', 'Volcanic plug', 'Organ pipe', 'butte', 'broken arch', 'overlook', 'tract, piece of land, piece of ground, parcel of land, parcel', 'geological formation, formation'], 'places': ['butte', 'valley', 'canyon', 'mountain', 'vegetation desert'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7267.HEIC.compressed.jpg,photos_255\n256,256,2019-04-25 18:01:35-07:00,2019-04-25 18:01:35-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8540111,-111.7882222,\"{'objects': ['Canyon', 'Cliff dwelling', 'Butte', 'Valley', 'Promontory', 'cliff dwelling', 'broken arch', 'butte', 'tract, piece of land, piece of ground, parcel of land, parcel', 'overlook'], 'places': ['canyon', 'butte', 'valley', 'vegetation desert', 'mountain'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7268.HEIC.compressed.jpg,photos_256\n257,257,2019-04-25 18:03:14-07:00,2019-04-25 18:03:14-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"322, Oak Creek Boulevard, Oak Creek Dev No. 1, Sedona, Yavapai County, Arizona, 86336, United States\",34.8590389,-111.7877972,\"{'objects': ['Canyon', 'Arizona Cypress', 'Cliff dwelling', 'Butte', \"\"Devil's bridge\"\", 'cliff dwelling', 'broken arch', 'butte', 'kachina', 'outcrop, outcropping, rock outcrop'], 'places': ['canyon', 'butte', 'vegetation desert', 'valley', 'mountain'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7269.HEIC.compressed.jpg,photos_257\n258,258,2019-04-25 18:15:41-07:00,2019-04-25 18:15:41-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.855111099999995,-111.7809833,\"{'objects': ['Canyon', 'Cinder cone', 'State park', 'Alluvial fan', 'Organ pipe', 'wilderness, wild', 'ponderosa, ponderosa pine, western yellow pine, bull pine, Pinus ponderosa', 'broken arch', 'tract, piece of land, piece of ground, parcel of land, parcel', 'kachina'], 'places': ['canyon', 'valley', 'vegetation desert', 'campsite', 'butte'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7270.HEIC.compressed.jpg,photos_258\n259,259,2019-04-25 18:22:55-07:00,2019-04-25 18:22:55-07:00,A breathtaking view.,\"Brewer Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8564722,-111.7794333,\"{'objects': ['Panorama', \"\"Colorado four o'clock\"\", 'Hiking', 'Cliff dwelling', 'Valley', 'overlook', 'cliff dwelling', 'butte', 'descent, declivity, fall, decline, declination, declension, downslope', 'cliff, drop, drop-off'], 'places': ['valley', 'butte', 'cliff', 'canyon', 'rock arch'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7271.HEIC.compressed.jpg,photos_259\n260,260,2019-04-25 18:24:57-07:00,2019-04-25 18:24:57-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Airport Mesa Viewpoint, Summit Trail, Sedona, Yavapai County, Arizona, 86336, United States\",34.8558583,-111.779075,\"{'objects': ['Canyon', 'Cliff dwelling', \"\"Devil's bridge\"\", 'Cinder cone', 'Hiking', 'cliff dwelling', 'overlook', 'broken arch', 'outcrop, outcropping, rock outcrop', 'butte'], 'places': ['canyon', 'butte', 'valley', 'rock arch', 'vegetation desert'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7273.HEIC.compressed.jpg,photos_260\n261,261,2019-04-25 18:25:06-07:00,2019-04-25 18:25:06-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Airport Mesa Viewpoint, Summit Trail, Sedona, Yavapai County, Arizona, 86336, United States\",34.8558528,-111.7791056,\"{'objects': ['Canyon', 'Hiking', 'Cliff dwelling', 'Hiking boot', 'Valley', 'cliff dwelling', 'overlook', 'descent, declivity, fall, decline, declination, declension, downslope', 'broken arch', 'outcrop, outcropping, rock outcrop'], 'places': ['canyon', 'valley', 'rock arch', 'butte', 'vegetation desert'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7274.HEIC.compressed.jpg,photos_261\n262,262,2019-04-25 18:42:55-07:00,2019-04-25 18:42:55-07:00,\"\"\"A burst of color.\"\"\",\"2, Emblem Place, Sedona, Yavapai County, Arizona, 86336, United States\",34.8613389,-111.7809306,\"{'objects': ['Rainbow', 'Rainbow', 'Atmospheric phenomenon', \"\"Colorado four o'clock\"\", 'Rainbow smelt', 'broken arch', 'atmospheric phenomenon', 'madras', 'serape, sarape', 'butte'], 'places': ['canyon', 'butte', 'mountain', 'valley', 'arch'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7276.HEIC.compressed.jpg,photos_262\n263,263,2019-04-25 18:43:03-07:00,2019-04-25 18:43:03-07:00,\"\"\"A burst of color.\"\"\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.854675,-111.7834917,\"{'objects': ['Rainbow', 'Rainbow', 'Three sisters', 'Atmospheric phenomenon', 'Natural arch', 'broken arch', 'atmospheric phenomenon', 'half-and-half', 'madras', 'beam'], 'places': ['canyon', 'rock arch', 'arch', 'valley', 'butte'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7277.HEIC.compressed.jpg,photos_263\n264,264,2019-04-25 18:43:05-07:00,2019-04-25 18:43:05-07:00,\"\"\"A burst of color.\"\"\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546306,-111.7835833,\"{'objects': ['Rainbow', 'Rainbow', 'Natural arch', 'Three sisters', 'Atmospheric phenomenon', 'broken arch', 'atmospheric phenomenon', 'madras', 'Moorish arch, horseshoe arch', 'windfall'], 'places': ['canyon', 'rock arch', 'valley', 'arch', 'butte'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7278.HEIC.compressed.jpg,photos_264\n265,265,2019-04-25 18:43:14-07:00,2019-04-25 18:43:14-07:00,\"\"\"A burst of color.\"\"\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546972,-111.7836083,\"{'objects': ['Rainbow', 'Rainbow', 'Geological phenomenon', \"\"Colorado four o'clock\"\", 'Canyon', 'broken arch', 'atmospheric phenomenon', 'cliff, drop, drop-off', 'soil horizon', 'canyon, canon'], 'places': ['canyon', 'valley', 'butte', 'rock arch', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7279.HEIC.compressed.jpg,photos_265\n266,266,2019-04-25 18:43:22-07:00,2019-04-25 18:43:22-07:00,\"\"\"A burst of color.\"\"\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546778,-111.7836,\"{'objects': ['Rainbow', 'Rainbow', \"\"Colorado four o'clock\"\", 'Atmospheric phenomenon', 'Rainbow smelt', 'atmospheric phenomenon', 'broken arch', 'beam', 'madras', 'serape, sarape'], 'places': ['butte', 'rock arch', 'mountain', 'valley', 'arch'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7280.HEIC.compressed.jpg,photos_266\n267,267,2019-04-25 18:43:39-07:00,2019-04-25 18:43:39-07:00,\"\"\"A burst of color.\"\"\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546833,-111.7836389,\"{'objects': ['Rainbow', 'Rainbow', 'Atmospheric phenomenon', 'Natural arch', 'Rainbow smelt', 'broken arch', 'atmospheric phenomenon', 'madras', 'kachina', 'soil horizon'], 'places': ['canyon', 'rock arch', 'valley', 'arch', 'butte'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7281.HEIC.compressed.jpg,photos_267\n268,268,2019-04-25 18:43:43-07:00,2019-04-25 18:43:43-07:00,\"\"\"A burst of color.\"\"\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546667,-111.7836528,\"{'objects': ['Rainbow', 'Rainbow', 'Atmospheric phenomenon', 'Natural arch', 'Rainbow smelt', 'broken arch', 'atmospheric phenomenon', 'madras', 'Moorish arch, horseshoe arch', 'beam'], 'places': ['canyon', 'rock arch', 'valley', 'arch', 'butte'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7282.HEIC.compressed.jpg,photos_268\n269,269,2019-04-25 18:43:58-07:00,2019-04-25 18:43:58-07:00,\"\"\"A burst of color.\"\"\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546528,-111.7836528,\"{'objects': ['Rainbow', 'Rainbow', 'Natural arch', 'Atmospheric phenomenon', 'State park', 'broken arch', 'atmospheric phenomenon', 'madras', 'soil horizon', 'kachina'], 'places': ['canyon', 'rock arch', 'valley', 'butte', 'mountain'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7283.HEIC.compressed.jpg,photos_269\n270,270,2019-04-25 18:44:04-07:00,2019-04-25 18:44:04-07:00,\"\"\"A burst of color.\"\"\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546722,-111.7836444,\"{'objects': ['Rainbow', 'Rainbow', 'Atmospheric phenomenon', 'Natural arch', 'State park', 'broken arch', 'atmospheric phenomenon', 'madras', 'soil horizon', 'kachina'], 'places': ['canyon', 'rock arch', 'valley', 'butte', 'arch'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7284.HEIC.compressed.jpg,photos_270\n271,271,2019-04-26 00:48:52+00:00,2019-04-26 00:48:52+00:00,\"\"\"A burst of color.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Rainbow', 'Rainbow', 'Panorama', 'Canyon', 'Atmospheric phenomenon', 'broken arch', 'kachina', 'atmospheric phenomenon', 'butte', 'cliff dwelling'], 'places': ['canyon', 'valley', 'butte', 'rock arch', 'mountain'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7286.HEIC.compressed.jpg,photos_271\n272,272,2019-04-25 18:53:16-07:00,2019-04-25 18:53:16-07:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Airport Loop Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8557583,-111.7853917,\"{'objects': ['Canyon', 'Panorama', 'Valley', 'Cliff dwelling', 'Butte', 'cliff dwelling', 'butte', 'mountainside, versant', 'tract, piece of land, piece of ground, parcel of land, parcel', 'kachina'], 'places': ['canyon', 'valley', 'butte', 'mountain', 'vegetation desert'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7287.HEIC.compressed.jpg,photos_272\n273,273,2019-04-25 18:56:35-07:00,2019-04-25 18:56:35-07:00,\"\"\"A burst of color.\"\"\",\"Sedona Airport, 235, Air Terminal Drive, Sedona, Yavapai County, Arizona, 86336, United States\",34.8538778,-111.7857056,\"{'objects': ['Rainbow', 'Rainbow', \"\"Colorado four o'clock\"\", 'Atmospheric phenomenon', 'Butte', 'broken arch', 'atmospheric phenomenon', 'butte', 'madras', 'serape, sarape'], 'places': ['butte', 'rock arch', 'mountain', 'arch', 'canyon'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7288.HEIC.compressed.jpg,photos_273\n274,274,2019-04-25 18:56:37-07:00,2019-04-25 18:56:37-07:00,\"\"\"A burst of color.\"\"\",\"Sedona Airport, 235, Air Terminal Drive, Sedona, Yavapai County, Arizona, 86336, United States\",34.8538778,-111.7857056,\"{'objects': ['Rainbow', 'Rainbow', \"\"Colorado four o'clock\"\", 'Atmospheric phenomenon', 'Butte', 'broken arch', 'atmospheric phenomenon', 'butte', 'flagpole, flagstaff', 'madras'], 'places': ['butte', 'rock arch', 'canyon', 'arch', 'mountain'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7289.HEIC.compressed.jpg,photos_274\n275,275,2019-04-25 19:01:34-07:00,2019-04-25 19:01:34-07:00,A breathtaking view.,\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8537222,-111.7884833,\"{'objects': ['Panorama', \"\"Devil's bridge\"\", 'Valley', 'Canyon', 'Narrows', 'wraparound', 'broken arch', 'butte', 'afterglow', 'valley, vale'], 'places': ['valley', 'canyon', 'butte', 'driveway', 'desert road'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7290.HEIC.compressed.jpg,photos_275\n276,276,2019-04-25 19:08:31-07:00,2019-04-25 19:08:31-07:00,\"\"\"A majestic view.\"\"\",\"Sedona Airport Overlook, Airport Road, Copper Vista Estates, Sedona, Yavapai County, Arizona, 86336, United States\",34.8535111,-111.7897722,\"{'objects': ['Arizona Cypress', 'Sunset', 'State park', 'Panorama', 'Canyon', 'atmospheric phenomenon', 'afterglow', 'broken arch', 'butte', 'wilderness, wild'], 'places': ['canyon', 'valley', 'butte', 'mountain', 'vegetation desert'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7291.HEIC.compressed.jpg,photos_276\n277,277,2019-04-25 19:08:41-07:00,2019-04-25 19:08:41-07:00,Exploring the beauty of nature.,\"Sedona Airport Overlook, Airport Road, Copper Vista Estates, Sedona, Yavapai County, Arizona, 86336, United States\",34.85352780000001,-111.7897861,\"{'objects': ['Panorama', 'Arizona Cypress', 'Canyon', 'Escarpment', 'Butte', 'wraparound', 'butte', 'broken arch', 'atmospheric phenomenon', 'kachina'], 'places': ['canyon', 'butte', 'valley', 'mountain', 'vegetation desert'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7292.HEIC.compressed.jpg,photos_277\n278,278,2019-04-25 19:08:56-07:00,2019-04-25 19:08:56-07:00,\"\"\"A majestic view of Arizona Cypress in the Butte.\"\"\",\"Sedona Airport Overlook, Airport Road, Copper Vista Estates, Sedona, Yavapai County, Arizona, 86336, United States\",34.8535167,-111.7897806,\"{'objects': ['Arizona Cypress', 'Butte', 'Panorama', 'Canyon', 'Valley', 'butte', 'broken arch', 'tract, piece of land, piece of ground, parcel of land, parcel', 'overlook', 'outcrop, outcropping, rock outcrop'], 'places': ['butte', 'canyon', 'valley', 'mountain', 'vegetation desert'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7293.HEIC.compressed.jpg,photos_278\n279,279,2019-04-26 10:42:14-07:00,2019-04-26 10:42:14-07:00,\"\"\"A peaceful moment in the garden.\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8646694,-111.8129722,\"{'objects': ['Smoketree', 'Landscaping', 'Red juniper', 'Backyard', 'Patio', 'backyard', 'resort area, playground, vacation spot', 'overlook', 'yard', 'yard'], 'places': ['patio', 'yard', 'courtyard', 'vegetation desert', 'park'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7303.HEIC.compressed.jpg,photos_279\n280,280,2019-04-26 15:57:32-06:00,2019-04-26 15:57:32-06:00,\"\"\"A journey through the desert.\"\"\",\"US 89, Western Navajo Agency, Coconino County, Arizona, United States\",36.5476611,-111.6233278,\"{'objects': ['Dirt road', 'Road', 'Road trip', 'Highway', 'Desert paintbrush', 'road, route', 'sagebrush, sage brush', 'driveway, drive, private road', 'trail', 'trail'], 'places': ['desert road', 'highway', 'canyon', 'field road', 'driveway'], 'tags': ['vehicle']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7308.HEIC.compressed.jpg,photos_280\n281,281,2019-04-26 15:57:35-06:00,2019-04-26 15:57:35-06:00,Exploring the desert.,\"US 89, Western Navajo Agency, Coconino County, Arizona, United States\",36.5475528,-111.6231472,\"{'objects': ['Canyon', 'Road trip', 'Dirt road', 'Desert paintbrush', 'American frontier', 'sagebrush, sage brush', 'dude ranch', 'horse-trail', 'road, route', 'butte'], 'places': ['desert road', 'canyon', 'butte', 'highway', 'badlands'], 'tags': ['vehicle']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7309.HEIC.compressed.jpg,photos_281\n282,282,2019-04-26 15:58:00-06:00,2019-04-26 15:58:00-06:00,\"\"\"A journey through the desert.\"\"\",\"US 89, Western Navajo Agency, Coconino County, Arizona, United States\",36.5475306,-111.6231222,\"{'objects': ['Highway', 'Road trip', 'Road', 'Road surface', 'Panorama', 'road, route', 'divided highway, dual carriageway', 'asphalt', 'blacktop, blacktopping', 'sagebrush, sage brush'], 'places': ['desert road', 'highway', 'canyon', 'field road', 'butte'], 'tags': ['vehicle']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7310.HEIC.compressed.jpg,photos_282\n283,283,2019-04-26 16:12:26-06:00,2019-04-26 16:12:26-06:00,\"\"\"A view of Butte from the Butte.\"\"\",\"US 89, Bitter Springs, Western Navajo Agency, Coconino County, Arizona, United States\",36.6607028,-111.6331472,\"{'objects': ['Butte', 'Desert paintbrush', 'Canyon', 'Plateau', 'Algific talus slope', 'butte', 'ridge, ridgeline', 'geological formation, formation', 'outcrop, outcropping, rock outcrop', 'cliff dwelling'], 'places': ['butte', 'canyon', 'vegetation desert', 'cliff', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7311-EFFECTS.jpg.compressed.jpg,photos_283\n284,284,2019-04-26 16:12:25-06:00,2019-04-26 16:12:25-06:00,\"\"\"A unique landscape.\"\"\",\"US 89, Bitter Springs, Western Navajo Agency, Coconino County, Arizona, United States\",36.6607028,-111.6331472,\"{'objects': ['Algific talus slope', 'Butte', 'Desert paintbrush', 'Alluvial fan', 'Outcrop', 'butte', 'outcrop, outcropping, rock outcrop', 'ridge, ridgeline', 'geological formation, formation', 'cliff dwelling'], 'places': ['butte', 'canyon', 'vegetation desert', 'cliff', 'valley'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7311.HEIC.compressed.jpg,photos_284\n285,285,2019-04-26 16:12:48-06:00,2019-04-26 16:12:48-06:00,\"\"\"A view of Butte from the Butte.\"\"\",\"US 89, Bitter Springs, Western Navajo Agency, Coconino County, Arizona, United States\",36.6607472,-111.6335361,\"{'objects': ['Butte', 'Outcrop', 'Promontory', 'Cliff dwelling', 'Algific talus slope', 'butte', 'outcrop, outcropping, rock outcrop', 'cliff dwelling', 'geological formation, formation', 'ridge, ridgeline'], 'places': ['butte', 'cliff', 'canyon', 'rock arch', 'mountain'], 'tags': ['building']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7312.HEIC.compressed.jpg,photos_285\n286,286,2019-04-26 23:24:16+00:00,2019-04-26 23:24:16+00:00,\"\"\"Awe-inspiring beauty.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Canyon', 'Canyoning', 'Submarine canyon', 'Narrows', 'Natural arch', 'canyon, canon', 'gorge', 'geological formation, formation', 'broken arch', 'pothole, chuckhole'], 'places': ['canyon', 'crevasse', 'rock arch', 'cliff', 'butte'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7313.HEIC.compressed.jpg,photos_286\n287,287,2019-04-26 23:24:21+00:00,2019-04-26 23:24:21+00:00,\"\"\"Awe-inspiring beauty.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Canyon', 'Natural arch', 'Canyoning', 'Submarine canyon', 'Narrows', 'canyon, canon', 'broken arch', 'gorge', 'geological formation, formation', 'overhang'], 'places': ['canyon', 'rock arch', 'crevasse', 'arch', 'alcove'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7314.HEIC.compressed.jpg,photos_287\n288,288,2019-04-26 23:25:46+00:00,2019-04-26 23:25:46+00:00,\"\"\"Awe-inspiring beauty.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Canyon', 'Canyoning', 'Strata', 'Geological phenomenon', 'Submarine canyon', 'canyon, canon', 'geological formation, formation', 'broken arch', 'gorge', 'overhang'], 'places': ['canyon', 'rock arch', 'crevasse', 'cliff', 'alcove'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7315.HEIC.compressed.jpg,photos_288\n289,289,2019-04-26 22:25:50+00:00,2019-04-26 22:25:50+00:00,\"\"\"Awe-inspiring beauty.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Canyon', 'Canyoning', 'Narrows', 'Natural arch', 'Submarine canyon', 'canyon, canon', 'gorge', 'broken arch', 'geological formation, formation', 'pothole, chuckhole'], 'places': ['canyon', 'rock arch', 'crevasse', 'cliff', 'alcove'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7316-EFFECTS.jpg.compressed.jpg,photos_289\n290,290,2019-04-26 22:25:49+00:00,2019-04-26 22:25:49+00:00,\"\"\"Awe-inspiring beauty.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Canyon', 'Canyoning', 'Narrows', 'Submarine canyon', 'Natural arch', 'canyon, canon', 'broken arch', 'gorge', 'geological formation, formation', 'overhang'], 'places': ['canyon', 'rock arch', 'crevasse', 'alcove', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7316.HEIC.compressed.jpg,photos_290\n291,291,2019-04-26 22:25:52+00:00,2019-04-26 22:25:52+00:00,\"\"\"Awe-inspiring beauty.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Canyon', 'Canyoning', 'Submarine canyon', 'Geological phenomenon', 'Narrows', 'canyon, canon', 'geological formation, formation', 'gorge', 'broken arch', 'overhang'], 'places': ['canyon', 'rock arch', 'crevasse', 'sand desert', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7317-EFFECTS.jpg.compressed.jpg,photos_291\n292,292,2019-04-26 22:25:51+00:00,2019-04-26 22:25:51+00:00,\"\"\"Awe-inspiring beauty.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Canyon', 'Canyoning', 'Natural arch', 'Narrows', 'Submarine canyon', 'canyon, canon', 'broken arch', 'geological formation, formation', 'gorge', 'overhang'], 'places': ['canyon', 'rock arch', 'crevasse', 'cliff', 'alcove'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7317.HEIC.compressed.jpg,photos_292\n293,293,2019-04-26 22:35:51+00:00,2019-04-26 22:35:51+00:00,\"\"\"Awe-inspiring beauty.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Canyon', 'Canyoning', 'Narrows', 'Submarine canyon', 'Geological phenomenon', 'canyon, canon', 'gorge', 'geological formation, formation', 'broken arch', 'chasm'], 'places': ['canyon', 'rock arch', 'crevasse', 'cliff', 'alcove'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7322.HEIC.compressed.jpg,photos_293\n294,294,2019-04-26 22:46:16+00:00,2019-04-26 22:46:16+00:00,\"\"\"Awe-inspiring beauty.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Canyon', 'Canyoning', 'Submarine canyon', 'Natural arch', 'Alluvial fan', 'canyon, canon', 'geological formation, formation', 'gorge', 'broken arch', 'arroyo'], 'places': ['canyon', 'rock arch', 'crevasse', 'cliff', 'sand desert'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7323.HEIC.compressed.jpg,photos_294\n295,295,2019-04-26 22:46:21+00:00,2019-04-26 22:46:21+00:00,\"\"\"Awe-inspiring beauty.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Canyon', 'Canyoning', 'Alluvial fan', 'Geological phenomenon', 'Dune', 'canyon, canon', 'geological formation, formation', 'dune, sand dune', 'background, desktop, screen background', 'gorge'], 'places': ['canyon', 'sand desert', 'crevasse', 'rock arch', 'desert road'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7324.HEIC.compressed.jpg,photos_295\n296,296,2019-04-26 22:46:24+00:00,2019-04-26 22:46:24+00:00,\"\"\"Awe-inspiring beauty.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Canyon', 'Canyoning', 'Alluvial fan', 'Submarine canyon', 'Dune', 'canyon, canon', 'geological formation, formation', 'dune, sand dune', 'gorge', 'arroyo'], 'places': ['canyon', 'crevasse', 'sand desert', 'rock arch', 'cliff'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7325.HEIC.compressed.jpg,photos_296\n297,297,2019-04-26 22:47:48+00:00,2019-04-26 22:47:48+00:00,\"\"\"Awe-inspiring beauty.\"\"\",Soul Buoy,0.0,0.0,\"{'objects': ['Canyon', 'Canyoning', 'Geological phenomenon', 'Submarine canyon', 'Erosion', 'canyon, canon', 'geological formation, formation', 'gorge', 'cavern', 'semidesert'], 'places': ['canyon', 'crevasse', 'sand desert', 'rock arch', 'alcove'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7326.HEIC.compressed.jpg,photos_297\n298,298,2019-04-26 22:48:26+00:00,2019-04-26 22:48:26+00:00,Exploring the castle.,Soul Buoy,0.0,0.0,\"{'objects': ['Estonian hound', 'Panorama', 'Baltic clam', 'Frikadeller', 'Houttuynia', 'battlement, crenelation, crenellation', 'Lithuanian', 'castle', 'vesture', 'bastion, citadel'], 'places': ['castle', 'downtown', 'tower', 'residential neighborhood', 'roof garden'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7327.HEIC.compressed.jpg,photos_298\n299,299,2019-04-26 23:09:12+00:00,2019-04-26 23:09:12+00:00,Exploring history in the open air.,Soul Buoy,0.0,0.0,\"{'objects': ['Open-air museum', 'Picture frame', 'Square', 'Enclosure', 'Digital photo frame', 'outside mirror', 'frame, framing', 'picture frame', 'square', 'square'], 'places': ['outdoor museum', 'park', 'botanical garden', 'outdoor library', 'yard'], 'tags': []}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7330.HEIC.compressed.jpg,photos_299\n300,300,2019-04-26 23:09:13+00:00,2019-04-26 23:09:13+00:00,Caffeinated and ready to go.,Soul Buoy,0.0,0.0,\"{'objects': ['Cortado', 'Espresso con panna', 'Flat white', 'Ristretto', 'Affogato', 'espresso', 'bite, collation, snack', 'sweet roll, coffee roll', 'cafe, coffeehouse, coffee shop, coffee bar', 'caffe latte, latte'], 'places': ['coffee shop', 'delicatessen', 'restaurant', 'shop bakery', 'restaurant kitchen'], 'tags': ['food']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7331.HEIC.compressed.jpg,photos_300\n301,301,2019-04-26 18:04:06-07:00,2019-04-26 18:04:06-07:00,Harbor views for days.,\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9951667,-111.4875333,\"{'objects': ['Panorama', 'Narrows', 'Submarine canyon', 'State park', 'Cove', 'overlook', 'cove', 'cove', 'marina', 'bay'], 'places': ['harbor', 'campsite', 'canyon', 'lagoon', 'butte'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7334.HEIC.compressed.jpg,photos_301\n302,302,2019-04-27 08:00:20-07:00,2019-04-27 08:00:20-07:00,\"\"\"A tranquil desert oasis.\"\"\",\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9951528,-111.4876111,\"{'objects': ['Dry lake', 'State park', 'Submarine canyon', 'Landform', 'Lacustrine plain', 'reservoir, artificial lake, man-made lake', 'butte', 'body of water, water', 'reservoir', 'lake'], 'places': ['butte', 'natural lake', 'watering hole', 'vegetation desert', 'golf course'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7335.HEIC.compressed.jpg,photos_302\n303,303,2019-04-27 15:32:17+00:00,2019-04-27 15:32:17+00:00,Exploring the Grand Canyon.,Soul Buoy,0.0,0.0,\"{'objects': ['Web page', 'Canyon', 'Tour guide', 'Website', 'Geocaching', 'driveway, drive, private road', 'guide', 'geographical area, geographic area, geographical region, geographic region', 'pass, mountain pass, notch', 'hoodoo'], 'places': ['canyon', 'badlands', 'desert road', 'butte', 'driveway'], 'tags': ['document']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7337.PNG.compressed.jpg,photos_303\n304,304,2019-04-27 09:03:39-07:00,2019-04-27 09:03:39-07:00,\"\"\"A peaceful oasis in the desert.\"\"\",\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9949833,-111.48645,\"{'objects': ['Dry lake', 'Camp', 'Human settlement', 'Drought', 'Kia mohave/borrego', 'housing, lodging, living accommodations', 'campsite, campground, camping site, camping ground, bivouac, encampment, camping area', 'reservoir, artificial lake, man-made lake', 'site, land site', 'dude ranch'], 'places': ['campsite', 'manufactured home', 'harbor', 'army base', 'landfill'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7338.HEIC.compressed.jpg,photos_304\n305,305,2019-04-27 09:38:35-07:00,2019-04-27 09:38:35-07:00,\"\"\"A peaceful oasis.\"\"\",\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9966167,-111.4895861,\"{'objects': ['Dry lake', 'Submarine canyon', 'Cliff jumping', 'Water ski', 'Drought', 'water ski', 'reservoir', 'reservoir, artificial lake, man-made lake', 'body of water, water', 'inlet, recess'], 'places': ['swimming hole', 'natural lake', 'watering hole', 'dam', 'canyon'], 'tags': ['vehicle']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7339.HEIC.compressed.jpg,photos_305\n306,306,2019-04-27 10:38:44-07:00,2019-04-27 10:38:44-07:00,\"\"\"A peaceful oasis.\"\"\",\"Navajo Viewpoint, Lake Shore Drive, Wahweap, Coconino County, Arizona, United States\",36.9640528,-111.4913028,\"{'objects': ['Dry lake', 'Submarine canyon', 'Reservoir', 'Cliff jumping', 'Logrolling', 'reservoir, artificial lake, man-made lake', 'reservoir', 'body of water, water', 'lake', 'pit, quarry, stone pit'], 'places': ['swimming hole', 'natural lake', 'dam', 'watering hole', 'canyon'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7340.HEIC.compressed.jpg,photos_306\n307,307,2019-04-27 15:47:52-06:00,2019-04-27 15:47:52-06:00,\"\"\"A lonely cinder cone in the desert.\"\"\",\"UT-12, Garfield County, Utah, 84764, United States\",37.6828944,-112.1249611,\"{'objects': ['Cinder cone', 'Two needle pinyon pine', 'Western juniper', 'Western yellow pine', 'Alluvial fan', 'ponderosa, ponderosa pine, western yellow pine, bull pine, Pinus ponderosa', 'western white pine, silver pine, mountain pine, Pinus monticola', \"\"Jeffrey pine, Jeffrey's pine, black pine, Pinus jeffreyi\"\", 'sagebrush, sage brush', 'butte'], 'places': ['vegetation desert', 'butte', 'canyon', 'desert road', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7342.HEIC.compressed.jpg,photos_307\n308,308,2019-04-27 15:48:04-06:00,2019-04-27 15:48:04-06:00,\"\"\"Awe-inspiring view.\"\"\",\"UT-12, Garfield County, Utah, 84764, United States\",37.6828833,-112.1249861,\"{'objects': ['Cinder cone', 'Two needle pinyon pine', 'Western juniper', 'Panorama', 'Caldera', 'ponderosa, ponderosa pine, western yellow pine, bull pine, Pinus ponderosa', 'sagebrush, sage brush', 'overlook', 'butte', 'hoodoo'], 'places': ['canyon', 'butte', 'desert road', 'vegetation desert', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7343.HEIC.compressed.jpg,photos_308\n309,309,2019-04-27 16:17:22-06:00,2019-04-27 16:17:22-06:00,\"\"\"A view of the outdoors.\"\"\",\"Tropic, Garfield County, Utah, 84776, United States\",37.6216861,-112.1092444,\"{'objects': ['Window', 'Window valance', 'Window film', 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['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7357.HEIC.compressed.jpg,photos_312\n313,313,2019-04-27 18:14:23-06:00,2019-04-27 18:14:23-06:00,\"\"\"A peaceful escape.\"\"\",\"Sunrise Point, Queen's Garden Trail, Garfield County, Utah, United States\",37.6279556,-112.1632083,\"{'objects': ['Shortstraw pine', 'Shortstraw pine', 'Two needle pinyon pine', 'Western juniper', 'Prostrate Juniper', 'ancient pine, Pinus longaeva', 'bristlecone pine, Rocky Mountain bristlecone pine, Pinus aristata', 'hoodoo', 'western white pine, silver pine, mountain pine, Pinus monticola', 'whitebark pine, whitebarked pine, Pinus albicaulis'], 'places': ['canyon', 'butte', 'badlands', 'cliff', 'vegetation desert'], 'tags': ['plant']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7358.HEIC.compressed.jpg,photos_313\n314,314,2019-04-27 18:20:03-06:00,2019-04-27 18:20:03-06:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Sunrise Point, Queen's 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from 2019/IMG_7363.HEIC.compressed.jpg,photos_315\n316,316,2019-04-27 18:27:33-06:00,2019-04-27 18:27:33-06:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6272861,-112.1615222,\"{'objects': ['Canyon', 'National park', 'Cinder cone', 'Erosion', 'Western juniper', 'hoodoo', 'geological formation, formation', 'canyon, canon', 'ridge, ridgeline', 'chasm'], 'places': ['canyon', 'rock arch', 'cliff', 'badlands', 'mountain path'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7364.HEIC.compressed.jpg,photos_316\n317,317,2019-04-27 18:34:01-06:00,2019-04-27 18:34:01-06:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Queen's Garden Trail, Garfield County, Utah, United States\",37.627075,-112.1595611,\"{'objects': ['American larch', 'Larix lyalliiSubalpine Larch', 'Larch', 'Oregon pine', 'Arizona Cypress', 'larch, larch tree', 'American larch, tamarack, black larch, Larix laricina', 'gymnospermous 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lateralis', 'ground squirrel, gopher, spermophile', 'rock squirrel, Citellus variegatus'], 'places': ['watering hole', 'badlands', 'sand desert', 'canyon', 'park'], 'tags': ['animal']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7371.HEIC.compressed.jpg,photos_320\n321,321,2019-04-27 18:50:14-06:00,2019-04-27 18:50:14-06:00,\"\"\"Awe-inspiring beauty.\"\"\",\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6254361,-112.160675,\"{'objects': ['Canyon', 'Cinder cone', 'National park', 'Panorama', 'Erosion', 'hoodoo', 'geological formation, formation', 'broken arch', 'canyon, canon', 'kachina'], 'places': ['canyon', 'rock arch', 'cliff', 'butte', 'valley'], 'tags': ['scenery']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7372.HEIC.compressed.jpg,photos_321\n322,322,2019-04-27 19:13:37-06:00,2019-04-27 19:13:37-06:00,\"\"\"A rocky outcrop in the cliff face.\"\"\",\"Queen's Garden Trail, Garfield County, 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2019/IMG_7374.HEIC.compressed.jpg,photos_323\n324,324,2019-04-29 11:49:07-07:00,2019-04-29 11:49:07-07:00,\"\"\"Freshly brewed.\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037453019547755,-101.90859062649028,\"{'objects': ['Single-origin coffee', 'Roasted grain beverage', 'Coffee', 'Caffeinated drink', 'Caffeine', 'packet', 'Yemeni', 'sandbag', 'bag', 'packaging'], 'places': ['coffee shop', 'supermarket', 'pantry', 'street', 'delicatessen'], 'tags': ['commodity products']}\",digital_data/images/google_photos/part 2/Google Photos/Photos from 2019/IMG_7375.HEIC.compressed.jpg,photos_324\n"
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\"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_6982.HEIC.compressed.jpg\",\n    \"id\":\"photos_52\"\n  },\n  {\n    \"Unnamed: 0\":53,\n    \"start_time\":\"2019-03-29 18:27:16+09:00\",\n    \"end_time\":\"2019-03-29 18:27:16+09:00\",\n    \"textDescription\":\"Freshly shaved Katsuobushi.\",\n    \"address\":\"Roppongi Hills, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-8001, Japan\",\n    \"lat\":35.6604,\n    \"long\":139.7286,\n    \"details\":\"{'objects': ['Katsuobushi', 'Anago', 'Ikebana', 'Kombu', 'Kaiseki', 'varnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua', 'dining area', 'lacquerware', 'scape, flower stalk', 'restaurant, eating house, eating place, eatery'], 'places': ['restaurant', 'sushi bar', 'dining room', 'restaurant kitchen', 'zen garden'], 'tags': ['plant']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_6983.HEIC.compressed.jpg\",\n    \"id\":\"photos_53\"\n  },\n  {\n    \"Unnamed: 0\":54,\n    \"start_time\":\"2019-03-29 19:20:53+09:00\",\n    \"end_time\":\"2019-03-29 19:20:53+09:00\",\n    \"textDescription\":\"Freshly prepared osechi sushi.\",\n    \"address\":\"Roppongi Hills Mori Tower, Mafu Tunnel, Roppongi, Minato, Tokyo, 106-6188, Japan\",\n    \"lat\":35.6602,\n    \"long\":139.7289,\n    \"details\":\"{'objects': ['Osechi', 'Kaiseki', 'Japanese cuisine', 'Ekiben', 'Katsuobushi', 'sukiyaki', 'bite, collation, snack', 'miso', 'tray', 'wasabi'], 'places': ['sushi bar', 'zen garden', 'restaurant', 'restaurant kitchen', 'japanese garden'], 'tags': ['food']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_6984.HEIC.compressed.jpg\",\n    \"id\":\"photos_54\"\n  },\n  {\n    \"Unnamed: 0\":55,\n    \"start_time\":\"2019-03-29 21:28:05+09:00\",\n    \"end_time\":\"2019-03-29 21:28:05+09:00\",\n    \"textDescription\":\"Delicious Taro Cake!\",\n    \"address\":\"Roppongi Hills Mori Tower, Mafu Tunnel, Roppongi, Minato, Tokyo, 106-6188, Japan\",\n    \"lat\":35.6604,\n    \"long\":139.7288,\n    \"details\":\"{'objects': ['Taro cake', 'Dessert', 'Agedashi tofu', 'Kaiseki', 'Osechi', 'parfait', 'dessert, sweet, afters', 'frozen dessert', 'oil cake', 'peach ice cream'], 'places': ['restaurant', 'ice cream parlor', 'dining hall', 'cafeteria', 'zen garden'], 'tags': ['food']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_6985.HEIC.compressed.jpg\",\n    \"id\":\"photos_55\"\n  },\n  {\n    \"Unnamed: 0\":56,\n    \"start_time\":\"2019-03-30 14:15:37+09:00\",\n    \"end_time\":\"2019-03-30 14:15:37+09:00\",\n    \"textDescription\":\"Ready for takeoff.\",\n    \"address\":\"191L, Kuko Higashi-dori, Narita, Sanmu, Chiba 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\"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7058-EFFECTS.jpg.compressed.jpg\",\n    \"id\":\"photos_123\"\n  },\n  {\n    \"Unnamed: 0\":124,\n    \"start_time\":\"2019-04-11 17:51:03-07:00\",\n    \"end_time\":\"2019-04-11 17:51:03-07:00\",\n    \"textDescription\":\"\\\"A splash of color.\\\"\",\n    \"address\":\"2962, Greg Street, Randall County, Texas, 79015, United States\",\n    \"lat\":35.0370469637,\n    \"long\":-101.9086794633,\n    \"details\":\"{'objects': ['Crabapple', 'Fruit tree', 'Wild crabapple', 'Vinegar tree', 'Cedar bay cherry', 'apple tree', 'almond tree', 'peach, peach tree, Prunus persica', 'fruit tree', 'angiospermous tree, flowering tree'], 'places': ['orchard', 'yard', 'lawn', 'tree farm', 'corral'], 'tags': ['plant']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7058.HEIC.compressed.jpg\",\n    \"id\":\"photos_124\"\n  },\n  {\n    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\"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7059.HEIC.compressed.jpg\",\n    \"id\":\"photos_125\"\n  },\n  {\n    \"Unnamed: 0\":126,\n    \"start_time\":\"2019-04-13 13:23:32-07:00\",\n    \"end_time\":\"2019-04-13 13:23:32-07:00\",\n    \"textDescription\":\"\\\"A splash of color in the desert.\\\"\",\n    \"address\":\"2964, Greg Street, Randall County, Texas, 79015, United States\",\n    \"lat\":35.0372938518,\n    \"long\":-101.9086901976,\n    \"details\":\"{'objects': ['Fernleaf lavender', 'French lavender', 'Egyptian lavender', 'Lavandula lanata', 'Lavandula dentata', 'purple sage, chaparral sage, Salvia leucophylla', \\\"California fuchsia, humming bird's trumpet, Epilobium canum canum, Zauschneria californica\\\", 'spike lavender, French lavender, Lavandula latifolia', 'French lavender, Lavandula stoechas', \\\"common unicorn plant, devil's claw, common devil's claw, elephant-tusk, proboscis flower, ram's horn, 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\"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7063.HEIC.compressed.jpg\",\n    \"id\":\"photos_129\"\n  },\n  {\n    \"Unnamed: 0\":130,\n    \"start_time\":\"2019-04-14 08:23:14-07:00\",\n    \"end_time\":\"2019-04-14 08:23:14-07:00\",\n    \"textDescription\":\"\\\"A splash of color in the desert.\\\"\",\n    \"address\":\"2966, Greg Street, Randall County, Texas, 79015, United States\",\n    \"lat\":35.0374333973,\n    \"long\":-101.9085506521,\n    \"details\":\"{'objects': ['Rock rose', 'Subshrub', 'Polygalaceae', 'Garden cosmos', 'Spurflowers', 'rockrose, rock rose', 'maiden pink, Dianthus deltoides', 'china pink, rainbow pink, Dianthus chinensis', 'Swan River daisy, Brachycome Iberidifolia', 'pink, garden pink'], 'places': ['vegetation desert', 'botanical garden', 'yard', 'wild field', 'park'], 'tags': ['plant']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 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'tags': ['scenery']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7363.HEIC.compressed.jpg\",\n    \"id\":\"photos_315\"\n  },\n  {\n    \"Unnamed: 0\":316,\n    \"start_time\":\"2019-04-27 18:27:33-06:00\",\n    \"end_time\":\"2019-04-27 18:27:33-06:00\",\n    \"textDescription\":\"\\\"Awe-inspiring beauty.\\\"\",\n    \"address\":\"Queen's Garden Trail, Garfield County, Utah, United States\",\n    \"lat\":37.6272861,\n    \"long\":-112.1615222,\n    \"details\":\"{'objects': ['Canyon', 'National park', 'Cinder cone', 'Erosion', 'Western juniper', 'hoodoo', 'geological formation, formation', 'canyon, canon', 'ridge, ridgeline', 'chasm'], 'places': ['canyon', 'rock arch', 'cliff', 'badlands', 'mountain path'], 'tags': ['scenery']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7364.HEIC.compressed.jpg\",\n    \"id\":\"photos_316\"\n  },\n  {\n    \"Unnamed: 0\":317,\n    \"start_time\":\"2019-04-27 18:34:01-06:00\",\n    \"end_time\":\"2019-04-27 18:34:01-06:00\",\n    \"textDescription\":\"\\\"Awe-inspiring beauty.\\\"\",\n    \"address\":\"Queen's Garden Trail, Garfield County, Utah, United States\",\n    \"lat\":37.627075,\n    \"long\":-112.1595611,\n    \"details\":\"{'objects': ['American larch', 'Larix lyalliiSubalpine Larch', 'Larch', 'Oregon pine', 'Arizona Cypress', 'larch, larch tree', 'American larch, tamarack, black larch, Larix laricina', 'gymnospermous tree', 'western larch, western tamarack, Oregon larch, Larix occidentalis', 'Arizona cypress, Cupressus arizonica'], 'places': ['canyon', 'cliff', 'vegetation desert', 'badlands', 'tree farm'], 'tags': ['plant']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7368.HEIC.compressed.jpg\",\n    \"id\":\"photos_317\"\n  },\n  {\n    \"Unnamed: 0\":318,\n    \"start_time\":\"2019-04-28 01:43:08+00:00\",\n    \"end_time\":\"2019-04-28 01:43:08+00:00\",\n    \"textDescription\":\"\\\"Awe-inspiring beauty.\\\"\",\n    \"address\":\"Soul Buoy\",\n    \"lat\":0.0,\n    \"long\":0.0,\n    \"details\":\"{'objects': ['Canyon', 'Cinder cone', 'National park', 'Panorama', 'Smoketree', 'hoodoo', 'canyon, canon', 'geological formation, formation', 'broken arch', 'wilderness, wild'], 'places': ['canyon', 'rock arch', 'badlands', 'cliff', 'mountain path'], 'tags': ['scenery']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7369.HEIC.compressed.jpg\",\n    \"id\":\"photos_318\"\n  },\n  {\n    \"Unnamed: 0\":319,\n    \"start_time\":\"2019-04-27 18:43:44-06:00\",\n    \"end_time\":\"2019-04-27 18:43:44-06:00\",\n    \"textDescription\":\"\\\"Taking a break.\\\"\",\n    \"address\":\"Tropic Trail, Tropic, Garfield County, Utah, 84776, United States\",\n    \"lat\":37.6205056,\n    \"long\":-112.1375417,\n    \"details\":\"{'objects': ['Kaibab Squirrel', 'Organ Mountains Chipmunk', \\\"Abert's squirrel\\\", \\\"Douglas' squirrel\\\", 'Chipmunk', 'mantled ground squirrel, Citellus lateralis', 'eastern chipmunk, hackee, striped squirrel, ground squirrel, Tamias striatus', 'tree squirrel', 'rock squirrel, Citellus variegatus', 'chipmunk'], 'places': ['watering hole', 'vegetation desert', 'badlands', 'sand desert', 'yard'], 'tags': []}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7370.HEIC.compressed.jpg\",\n    \"id\":\"photos_319\"\n  },\n  {\n    \"Unnamed: 0\":320,\n    \"start_time\":\"2019-04-27 18:43:48-06:00\",\n    \"end_time\":\"2019-04-27 18:43:48-06:00\",\n    \"textDescription\":\"\\\"Taking a break.\\\"\",\n    \"address\":\"Tropic Trail, Tropic, Garfield County, Utah, 84776, United States\",\n    \"lat\":37.6205056,\n    \"long\":-112.1375417,\n    \"details\":\"{'objects': ['Organ Mountains Chipmunk', 'Ground squirrels', 'Chipmunk', 'Antelope squirrels', 'Eastern chipmunk', 'eastern chipmunk, hackee, striped squirrel, ground squirrel, Tamias striatus', 'chipmunk', 'mantled ground squirrel, Citellus lateralis', 'ground squirrel, gopher, spermophile', 'rock squirrel, Citellus variegatus'], 'places': ['watering hole', 'badlands', 'sand desert', 'canyon', 'park'], 'tags': ['animal']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7371.HEIC.compressed.jpg\",\n    \"id\":\"photos_320\"\n  },\n  {\n    \"Unnamed: 0\":321,\n    \"start_time\":\"2019-04-27 18:50:14-06:00\",\n    \"end_time\":\"2019-04-27 18:50:14-06:00\",\n    \"textDescription\":\"\\\"Awe-inspiring beauty.\\\"\",\n    \"address\":\"Queen's Garden Trail, Garfield County, Utah, United States\",\n    \"lat\":37.6254361,\n    \"long\":-112.160675,\n    \"details\":\"{'objects': ['Canyon', 'Cinder cone', 'National park', 'Panorama', 'Erosion', 'hoodoo', 'geological formation, formation', 'broken arch', 'canyon, canon', 'kachina'], 'places': ['canyon', 'rock arch', 'cliff', 'butte', 'valley'], 'tags': ['scenery']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7372.HEIC.compressed.jpg\",\n    \"id\":\"photos_321\"\n  },\n  {\n    \"Unnamed: 0\":322,\n    \"start_time\":\"2019-04-27 19:13:37-06:00\",\n    \"end_time\":\"2019-04-27 19:13:37-06:00\",\n    \"textDescription\":\"\\\"A rocky outcrop in the cliff face.\\\"\",\n    \"address\":\"Queen's Garden Trail, Garfield County, Utah, United States\",\n    \"lat\":37.6269417,\n    \"long\":-112.1591556,\n    \"details\":\"{'objects': ['Outcrop', 'Algific talus slope', 'Rockfall', 'Quarry', 'Cliff', 'geological formation, formation', 'escarpment, scarp', 'butte', 'outcrop, outcropping, rock outcrop', 'sediment, deposit'], 'places': ['cliff', 'butte', 'badlands', 'canyon', 'volcano'], 'tags': ['plant']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7373.HEIC.compressed.jpg\",\n    \"id\":\"photos_322\"\n  },\n  {\n    \"Unnamed: 0\":323,\n    \"start_time\":\"2019-04-27 19:34:15-06:00\",\n    \"end_time\":\"2019-04-27 19:34:15-06:00\",\n    \"textDescription\":\"\\\"Awe-inspiring view.\\\"\",\n    \"address\":\"Rim Trail, Garfield County, Utah, 84764, United States\",\n    \"lat\":37.6267389,\n    \"long\":-112.1653222,\n    \"details\":\"{'objects': ['Cinder cone', 'National park', 'Canyon', 'Panorama', 'Geological phenomenon', 'hoodoo', 'overlook', 'geological formation, formation', 'canyon, canon', 'wilderness, wild'], 'places': ['canyon', 'butte', 'cliff', 'mountain path', 'badlands'], 'tags': ['scenery']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7374.HEIC.compressed.jpg\",\n    \"id\":\"photos_323\"\n  },\n  {\n    \"Unnamed: 0\":324,\n    \"start_time\":\"2019-04-29 11:49:07-07:00\",\n    \"end_time\":\"2019-04-29 11:49:07-07:00\",\n    \"textDescription\":\"\\\"Freshly brewed.\\\"\",\n    \"address\":\"2966, Greg Street, Randall County, Texas, 79015, United States\",\n    \"lat\":35.0374530195,\n    \"long\":-101.9085906265,\n    \"details\":\"{'objects': ['Single-origin coffee', 'Roasted grain beverage', 'Coffee', 'Caffeinated drink', 'Caffeine', 'packet', 'Yemeni', 'sandbag', 'bag', 'packaging'], 'places': ['coffee shop', 'supermarket', 'pantry', 'street', 'delicatessen'], 'tags': ['commodity products']}\",\n    \"img_url\":\"digital_data\\/images\\/google_photos\\/part 2\\/Google Photos\\/Photos from 2019\\/IMG_7375.HEIC.compressed.jpg\",\n    \"id\":\"photos_324\"\n  }\n]"
  },
  {
    "path": "sample_data/places.sampled.csv",
    "content": "start_time,end_time,textDescription,start_address,start_lat,start_long,end_address,end_lat,end_long,id\n2019-04-18 00:01:26+00:00,2019-04-18 00:01:26+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_26991\n2019-03-31 06:58:44+00:00,2019-03-31 06:58:44+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_26992\n2019-03-19 00:05:14+00:00,2019-03-19 00:05:14+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_26995\n2019-04-15 14:58:30+00:00,2019-04-15 14:58:30+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_26997\n2019-04-25 15:57:11+00:00,2019-04-25 15:57:11+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_26998\n2019-04-27 17:28:58-07:00,2019-04-27 17:28:58-07:00,\"Exploring Lamb County, TX\",\"County Road 307, Lamb County, Texas, 79369, United States\",33.88986233451486,-102.14000426342562,\"County Road 307, Lamb County, Texas, 79369, United States\",33.88986233451486,-102.14000426342562,places_27028\n2019-03-03 07:41:47-08:00,2019-03-03 07:41:47-08:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,places_27172\n2019-03-03 07:42:11-08:00,2019-03-03 07:42:11-08:00,\"\"\"Texas Home on Greg Street\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03755147425116,-101.90860432341586,\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03755147425116,-101.90860432341586,places_27173\n2019-03-03 07:42:35-08:00,2019-03-03 07:42:35-08:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,places_27174\n2019-03-05 18:13:01-08:00,2019-03-05 18:13:01-08:00,\"\"\"Throwbacks Sports Bar: Amarillo's Best!\"\"\",\"Throwbacks Sports Bar, 7150, Bell Street, Amarillo, Randall County, Texas, 79109, United States\",35.13263561760009,-101.9023999166812,\"Throwbacks Sports Bar, 7150, Bell Street, Amarillo, Randall County, Texas, 79109, United States\",35.13263561760009,-101.9023999166812,places_27175\n2019-03-05 18:13:04-08:00,2019-03-05 18:13:04-08:00,\"\"\"Throwbacks Sports Bar: Amarillo's Best!\"\"\",\"Throwbacks Sports Bar, 7150, Bell Street, Amarillo, Randall County, Texas, 79109, United States\",35.13263561760009,-101.9023999166812,\"Throwbacks Sports Bar, 7150, Bell Street, Amarillo, Randall County, Texas, 79109, United States\",35.13263561760009,-101.9023999166812,places_27176\n2019-03-05 19:31:46-08:00,2019-03-05 19:31:46-08:00,\"Biking in Randall County, Texas\",\"Bikepark, Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",35.017886295811834,-101.91701998929815,\"Bikepark, Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",35.017886295811834,-101.91701998929815,places_27177\n2019-03-05 19:31:47-08:00,2019-03-05 19:31:47-08:00,\"Biking in Randall County, Texas\",\"Bikepark, Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",35.01803657555976,-101.91678383540862,\"Bikepark, Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",35.01803657555976,-101.91678383540862,places_27178\n2019-03-05 19:36:00-08:00,2019-03-05 19:36:00-08:00,\"Biking in Randall County, Texas\",\"Bikepark, Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",35.01791849861497,-101.9167301640701,\"Bikepark, Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",35.01791849861497,-101.9167301640701,places_27179\n2019-03-06 19:46:40-08:00,2019-03-06 19:46:40-08:00,\"\"\"Texas Home on Greg Street\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,places_27180\n2019-03-07 19:17:33-08:00,2019-03-07 19:17:33-08:00,\"Amarillo, Texas\",\"W Loop 335 S, Amarillo, Randall County, Texas, 79119, United States\",35.12855659587139,-101.95697293370378,\"W Loop 335 S, Amarillo, Randall County, Texas, 79119, United States\",35.12855659587139,-101.95697293370378,places_27181\n2019-03-10 17:42:28-07:00,2019-03-10 17:42:28-07:00,\"Randall County, Texas\",\"Claude Highway, Randall County, Texas, 79118, United States\",35.08824942063148,-101.7760683200371,\"Claude Highway, Randall County, Texas, 79118, United States\",35.08824942063148,-101.7760683200371,places_27182\n2019-03-10 17:42:30-07:00,2019-03-10 17:42:30-07:00,\"Randall County, Texas\",\"Claude Highway, Randall County, Texas, 79118, United States\",35.08838896611168,-101.77592877455692,\"Claude Highway, Randall County, Texas, 79118, United States\",35.08838896611168,-101.77592877455692,places_27183\n2019-03-10 17:42:31-07:00,2019-03-10 17:42:31-07:00,\"Randall County, Texas\",\"Claude Highway, Randall County, Texas, 79118, United States\",35.08837823184396,-101.77602538296628,\"Claude Highway, Randall County, Texas, 79118, United States\",35.08837823184396,-101.77602538296628,places_27184\n2019-03-10 17:42:32-07:00,2019-03-10 17:42:32-07:00,\"Randall County, Texas\",\"Claude Highway, Randall County, Texas, 79118, United States\",35.08837823184396,-101.77602538296628,\"Claude Highway, Randall County, Texas, 79118, United States\",35.08837823184396,-101.77602538296628,places_27185\n2019-03-10 17:46:32-07:00,2019-03-10 17:46:32-07:00,\"Randall County, Texas\",\"Claude Highway, Randall County, Texas, 79118, United States\",35.08794886113572,-101.77654062781622,\"Claude Highway, Randall County, Texas, 79118, United States\",35.08794886113572,-101.77654062781622,places_27186\n2019-03-10 17:46:34-07:00,2019-03-10 17:46:34-07:00,\"Randall County, Texas\",\"Claude Highway, Randall County, Texas, 79118, United States\",35.08806693808049,-101.77659429915477,\"Claude Highway, Randall County, Texas, 79118, United States\",35.08806693808049,-101.77659429915477,places_27187\n2019-03-10 17:47:15-07:00,2019-03-10 17:47:15-07:00,\"Randall County, Texas\",\"Claude Highway, Randall County, Texas, 79118, United States\",35.08771270724614,-101.77643328513912,\"Claude Highway, Randall County, Texas, 79118, United States\",35.08771270724614,-101.77643328513912,places_27188\n2019-03-10 17:47:16-07:00,2019-03-10 17:47:16-07:00,\"Randall County, Texas\",\"Claude Highway, Randall County, Texas, 79118, United States\",35.08771270724614,-101.77643328513912,\"Claude Highway, Randall County, Texas, 79118, United States\",35.08771270724614,-101.77643328513912,places_27189\n2019-03-10 17:47:17-07:00,2019-03-10 17:47:17-07:00,\"Randall County, Texas\",\"Claude Highway, Randall County, Texas, 79118, United States\",35.08771270724614,-101.77643328513912,\"Claude Highway, Randall County, Texas, 79118, United States\",35.08771270724614,-101.77643328513912,places_27190\n2019-03-11 16:27:43+00:00,2019-03-11 16:27:43+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27191\n2019-03-13 16:23:07+00:00,2019-03-13 16:23:07+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27192\n2019-03-17 12:59:42-07:00,2019-03-17 12:59:42-07:00,\"\"\"Exploring Randall County, Texas\"\"\",\"Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",35.01831566652016,-101.91650474444822,\"Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",35.01831566652016,-101.91650474444822,places_27193\n2019-03-18 09:20:41-07:00,2019-03-18 09:20:41-07:00,\"Helium Road, Texas\",\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,places_27194\n2019-03-18 09:31:03-07:00,2019-03-18 09:31:03-07:00,\"Helium Road, Texas\",\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,places_27195\n2019-03-18 10:43:51-07:00,2019-03-18 10:43:51-07:00,\"Helium Road, Texas\",\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,places_27196\n2019-03-18 10:44:49-07:00,2019-03-18 10:44:49-07:00,\"Helium Road, Texas\",\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,places_27197\n2019-03-18 10:46:41-07:00,2019-03-18 10:46:41-07:00,\"Helium Road, Texas\",\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,places_27198\n2019-03-18 13:00:08-07:00,2019-03-18 13:00:08-07:00,\"Helium Road, Texas\",\"Helium Road, Randall County, Texas, 79119, United States\",35.097148128560605,-101.95385999606872,\"Helium Road, Randall County, Texas, 79119, United States\",35.097148128560605,-101.95385999606872,places_27199\n2019-03-18 13:12:49-07:00,2019-03-18 13:12:49-07:00,\"Helium Road, Texas\",\"Helium Road, Randall County, Texas, 79119, United States\",35.09701931734814,-101.95390293313956,\"Helium Road, Randall County, Texas, 79119, United States\",35.09701931734814,-101.95390293313956,places_27200\n2019-03-18 15:52:33-07:00,2019-03-18 15:52:33-07:00,\"Helium Road, Texas\",\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,places_27201\n2019-03-18 16:05:51-07:00,2019-03-18 16:05:51-07:00,\"Helium Road, Texas\",\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,places_27202\n2019-03-18 17:02:12-07:00,2019-03-18 17:02:12-07:00,\"Helium Road, Texas\",\"Helium Road, Randall County, Texas, 79119, United States\",35.097126660025225,-101.95405321288746,\"Helium Road, Randall County, Texas, 79119, United States\",35.097126660025225,-101.95405321288746,places_27203\n2019-03-18 17:02:21-07:00,2019-03-18 17:02:21-07:00,\"Helium Road, Texas\",\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,\"Helium Road, Randall County, Texas, 79119, United States\",35.09711592575748,-101.95414982129678,places_27204\n2019-03-19 12:32:09-07:00,2019-03-19 12:32:09-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.03718650914911,-101.90853991780963,\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.03718650914911,-101.90853991780963,places_27205\n2019-03-22 19:06:44-07:00,2019-03-22 19:06:44-07:00,\"Exploring Randall County, Texas\",\"Randall County, Texas, United States\",35.06895994156193,-101.9117172610509,\"Randall County, Texas, United States\",35.06895994156193,-101.9117172610509,places_27206\n2019-03-23 07:50:06-07:00,2019-03-23 07:50:06-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03755147425116,-101.90860432341586,\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03755147425116,-101.90860432341586,places_27207\n2019-03-23 09:36:05-07:00,2019-03-23 09:36:05-07:00,\"Exploring Castro County, Texas\",\"Castro County, Texas, United States\",34.72240410864033,-102.0198864767347,\"Castro County, Texas, United States\",34.72240410864033,-102.0198864767347,places_27208\n2019-03-23 09:36:12-07:00,2019-03-23 09:36:12-07:00,\"Exploring Castro County, Texas\",\"Castro County, Texas, United States\",34.72240410864033,-102.0198864767347,\"Castro County, Texas, United States\",34.72240410864033,-102.0198864767347,places_27209\n2019-03-23 20:50:05-07:00,2019-03-23 20:50:05-07:00,Charlie's Furniture Amarillo,\"Charlie's Furniture, 3700, South Soncy Road, Amarillo, Randall County, Texas, 79119, United States\",35.16672765183763,-101.93941167173506,\"Charlie's Furniture, 3700, South Soncy Road, Amarillo, Randall County, Texas, 79119, United States\",35.16672765183763,-101.93941167173506,places_27210\n2019-03-27 11:42:43+09:00,2019-03-27 11:42:43+09:00,Exploring Seoul National University,\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4551,126.9504,\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4551,126.9504,places_27211\n2019-03-27 11:42:50+09:00,2019-03-27 11:42:50+09:00,Exploring Seoul National University,\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4551,126.9504,\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4551,126.9504,places_27212\n2019-03-27 13:45:36+09:00,2019-03-27 13:45:36+09:00,Exploring Seoul National University,\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4551,126.951,\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4551,126.951,places_27213\n2019-03-27 13:45:47+09:00,2019-03-27 13:45:47+09:00,Exploring Seoul National University,\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4552,126.951,\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4552,126.951,places_27214\n2019-03-27 13:45:47+09:00,2019-03-27 13:45:47+09:00,Exploring Seoul National University,\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4552,126.951,\"Seoul National University Gwanak Campus, 1, Gwanak-ro, Daehak-dong, Gwanak-gu, 08826, South Korea\",37.4552,126.951,places_27215\n2019-03-27 15:47:16+09:00,2019-03-27 15:47:16+09:00,\"Yangpyeong-ro 28da-gil, Seoul\",\"Yangpyeong-ro 28da-gil, Yangpyeong-dong 6-ga, Yangpyeong 2(i)-dong, Yeongdeungpo-gu, Seoul, 07207, South Korea\",37.5413,126.8909,\"Yangpyeong-ro 28da-gil, Yangpyeong-dong 6-ga, Yangpyeong 2(i)-dong, Yeongdeungpo-gu, Seoul, 07207, South Korea\",37.5413,126.8909,places_27216\n2019-03-27 15:47:22+09:00,2019-03-27 15:47:22+09:00,\"Yangpyeong-ro 28da-gil, Seoul\",\"Yangpyeong-ro 28da-gil, Yangpyeong-dong 6-ga, Yangpyeong 2(i)-dong, Yeongdeungpo-gu, Seoul, 07207, South Korea\",37.5413,126.8909,\"Yangpyeong-ro 28da-gil, Yangpyeong-dong 6-ga, Yangpyeong 2(i)-dong, Yeongdeungpo-gu, Seoul, 07207, South Korea\",37.5413,126.8909,places_27217\n2019-03-27 15:47:29+09:00,2019-03-27 15:47:29+09:00,\"Yangpyeong-ro 28da-gil, Seoul\",\"Yangpyeong-ro 28da-gil, Yangpyeong-dong 6-ga, Yangpyeong 2(i)-dong, Yeongdeungpo-gu, Seoul, 07207, South Korea\",37.5413,126.8909,\"Yangpyeong-ro 28da-gil, Yangpyeong-dong 6-ga, Yangpyeong 2(i)-dong, Yeongdeungpo-gu, Seoul, 07207, South Korea\",37.5413,126.8909,places_27218\n2019-03-27 08:30:38+00:00,2019-03-27 08:30:38+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27219\n2019-03-27 18:36:03+09:00,2019-03-27 18:36:03+09:00,Exploring Seoul's Seocho-gu,\"Bangbae-ro, Bangbae 4(sa)-dong, Seocho-gu, Seoul, 06557, South Korea\",37.494,126.9903,\"Bangbae-ro, Bangbae 4(sa)-dong, Seocho-gu, Seoul, 06557, South Korea\",37.494,126.9903,places_27220\n2019-03-28 06:38:09+09:00,2019-03-28 06:38:09+09:00,Incheon Int'l Airport Terminal 1,\"Incheon International Airport Terminal 1, 271, Gonghang-ro, Unseo-dong, Jung-gu, Incheon, 22382, South Korea\",37.4496,126.4536,\"Incheon International Airport Terminal 1, 271, Gonghang-ro, Unseo-dong, Jung-gu, Incheon, 22382, South Korea\",37.4496,126.4536,places_27221\n2019-03-28 04:34:33+00:00,2019-03-28 04:34:33+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27222\n2019-03-28 20:38:13+09:00,2019-03-28 20:38:13+09:00,Roppongi's Asahi Shokudo,\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,places_27223\n2019-03-28 20:47:46+09:00,2019-03-28 20:47:46+09:00,Roppongi's Asahi Shokudo,\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,places_27224\n2019-03-28 21:36:34+09:00,2019-03-28 21:36:34+09:00,Roppongi's Asahi Shokudo,\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,places_27225\n2019-03-28 23:25:42+09:00,2019-03-28 23:25:42+09:00,Roppongi's Asahi Shokudo,\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,places_27226\n2019-03-28 23:25:52+09:00,2019-03-28 23:25:52+09:00,Roppongi's Asahi Shokudo,\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,\"Asahi Shokudo, 龍土町美術館通り, Roppongi, Minato, Tokyo, 106-0033, Japan\",35.6644,139.7301,places_27227\n2019-03-29 09:12:12+09:00,2019-03-29 09:12:12+09:00,Grand Hyatt Tokyo,\"Grand Hyatt Tokyo, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-6122, Japan\",35.6595,139.7283,\"Grand Hyatt Tokyo, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-6122, Japan\",35.6595,139.7283,places_27228\n2019-03-29 10:08:09+09:00,2019-03-29 10:08:09+09:00,\"Moto-Azabu, Tokyo\",\"Moto-Azabu 3-chome, Minato, Tokyo, 106-0046, Japan\",35.6574,139.7273,\"Moto-Azabu 3-chome, Minato, Tokyo, 106-0046, Japan\",35.6574,139.7273,places_27229\n2019-03-29 10:13:09+09:00,2019-03-29 10:13:09+09:00,Aiiku Hospital in Tokyo,\"Aiiku Hospital, 木下坂, Minami-Azabu 5-chome, Minato, Tokyo, 106-0047, Japan\",35.6536,139.726,\"Aiiku Hospital, 木下坂, Minami-Azabu 5-chome, Minato, Tokyo, 106-0047, Japan\",35.6536,139.726,places_27230\n2019-03-29 10:53:41+09:00,2019-03-29 10:53:41+09:00,\"Exploring Naka-Meguro, Tokyo\",\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.638,139.7063,\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.638,139.7063,places_27231\n2019-03-29 10:54:16+09:00,2019-03-29 10:54:16+09:00,\"Exploring Naka-Meguro, Tokyo\",\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6380917,139.7062083,\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6380917,139.7062083,places_27232\n2019-03-29 10:54:15+09:00,2019-03-29 10:54:15+09:00,\"Exploring Naka-Meguro, Tokyo\",\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,places_27233\n2019-03-29 10:54:51+09:00,2019-03-29 10:54:51+09:00,\"Exploring Naka-Meguro, Tokyo\",\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,places_27234\n2019-03-29 10:54:59+09:00,2019-03-29 10:54:59+09:00,\"Exploring Naka-Meguro, Tokyo\",\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,places_27235\n2019-03-29 10:56:04+09:00,2019-03-29 10:56:04+09:00,\"Exploring Naka-Meguro, Tokyo\",\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,places_27236\n2019-03-29 10:56:37+09:00,2019-03-29 10:56:37+09:00,\"Exploring Naka-Meguro, Tokyo\",\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,\"中里橋, 新茶屋坂通り, Naka-Meguro 4-chome, Meguro, Tokyo, 153-0063, Japan\",35.6381,139.7062,places_27237\n2019-03-29 12:28:58+09:00,2019-03-29 12:28:58+09:00,\"University of Tokyo, Tokyo\",\"University of Tokyo (Hongo Campus), 1, Kikuzaka, Hongo 4-chome, Bunkyo, Tokyo, 113-8654, Japan\",35.7105,139.7602,\"University of Tokyo (Hongo Campus), 1, Kikuzaka, Hongo 4-chome, Bunkyo, Tokyo, 113-8654, Japan\",35.7105,139.7602,places_27238\n2019-03-29 13:04:14+09:00,2019-03-29 13:04:14+09:00,\"University of Tokyo, Tokyo\",\"University of Tokyo (Hongo Campus), 1, Kikuzaka, Hongo 4-chome, Bunkyo, Tokyo, 113-8654, Japan\",35.7105,139.7603,\"University of Tokyo (Hongo Campus), 1, Kikuzaka, Hongo 4-chome, Bunkyo, Tokyo, 113-8654, Japan\",35.7105,139.7603,places_27239\n2019-03-29 13:04:17+09:00,2019-03-29 13:04:17+09:00,\"University of Tokyo, Tokyo\",\"University of Tokyo (Hongo Campus), 1, Kikuzaka, Hongo 4-chome, Bunkyo, Tokyo, 113-8654, Japan\",35.7105,139.7603,\"University of Tokyo (Hongo Campus), 1, Kikuzaka, Hongo 4-chome, Bunkyo, Tokyo, 113-8654, Japan\",35.7105,139.7603,places_27240\n2019-03-29 16:15:45+09:00,2019-03-29 16:15:45+09:00,Tokyo's Shibadaimon,\"Shibadaimon 1-chome, Minato, Tokyo, 105-8511, Japan\",35.6594,139.7516,\"Shibadaimon 1-chome, Minato, Tokyo, 105-8511, Japan\",35.6594,139.7516,places_27241\n2019-03-29 16:23:59+09:00,2019-03-29 16:23:59+09:00,Tokyo's Shibakoen,\"Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6603,139.74769999999998,\"Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6603,139.74769999999998,places_27242\n2019-03-29 16:24:02+09:00,2019-03-29 16:24:02+09:00,Tokyo's Shibakoen,\"Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6603,139.74779999999998,\"Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6603,139.74779999999998,places_27243\n2019-03-29 16:24:07+09:00,2019-03-29 16:24:07+09:00,Tokyo's Shibakoen,\"Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6603,139.74769999999998,\"Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6603,139.74769999999998,places_27244\n2019-03-29 16:24:56+09:00,2019-03-29 16:24:56+09:00,Tokyo's Shiba Junior & Senior High School,\"Shiba Junior High School & Senior High School, 切通坂, Shibakoen 3-chome, Minato, Tokyo, 105-6216, Japan\",35.6603,139.7471,\"Shiba Junior High School & Senior High School, 切通坂, Shibakoen 3-chome, Minato, Tokyo, 105-6216, Japan\",35.6603,139.7471,places_27245\n2019-03-29 16:25:06+09:00,2019-03-29 16:25:06+09:00,Tokyo's Shibakoen,\"Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6604,139.7474,\"Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6604,139.7474,places_27246\n2019-03-29 16:26:16+09:00,2019-03-29 16:26:16+09:00,Tokyo Prince Hotel,\"Tokyo Prince Hotel, Iwaida-dori, Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6601,139.7473,\"Tokyo Prince Hotel, Iwaida-dori, Shibakoen 3-chome, Minato, Tokyo, 105-0011, Japan\",35.6601,139.7473,places_27247\n2019-03-29 18:25:08+09:00,2019-03-29 18:25:08+09:00,Exploring Roppongi Hills,\"Roppongi Hills, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-8001, Japan\",35.6604,139.7287,\"Roppongi Hills, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-8001, Japan\",35.6604,139.7287,places_27248\n2019-03-29 18:25:24+09:00,2019-03-29 18:25:24+09:00,Exploring Roppongi Hills,\"Roppongi Hills, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-8001, Japan\",35.6604,139.7286,\"Roppongi Hills, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-8001, Japan\",35.6604,139.7286,places_27249\n2019-03-29 18:26:53+09:00,2019-03-29 18:26:53+09:00,Exploring Roppongi Hills,\"Roppongi Hills, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-8001, Japan\",35.6604,139.7287,\"Roppongi Hills, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-8001, Japan\",35.6604,139.7287,places_27250\n2019-03-29 18:27:16+09:00,2019-03-29 18:27:16+09:00,Exploring Roppongi Hills,\"Roppongi Hills, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-8001, Japan\",35.6604,139.7286,\"Roppongi Hills, Keyaki-zaka, Roppongi, Minato, Tokyo, 106-8001, Japan\",35.6604,139.7286,places_27251\n2019-03-29 19:20:53+09:00,2019-03-29 19:20:53+09:00,\"Exploring Roppongi Hills, Tokyo\",\"Roppongi Hills Mori Tower, Mafu Tunnel, Roppongi, Minato, Tokyo, 106-6188, Japan\",35.6602,139.72889999999998,\"Roppongi Hills Mori Tower, Mafu Tunnel, Roppongi, Minato, Tokyo, 106-6188, Japan\",35.6602,139.72889999999998,places_27252\n2019-03-29 21:28:05+09:00,2019-03-29 21:28:05+09:00,\"Exploring Roppongi Hills, Tokyo\",\"Roppongi Hills Mori Tower, Mafu Tunnel, Roppongi, Minato, Tokyo, 106-6188, Japan\",35.6604,139.7288,\"Roppongi Hills Mori Tower, Mafu Tunnel, Roppongi, Minato, Tokyo, 106-6188, Japan\",35.6604,139.7288,places_27253\n2019-03-30 14:15:37+09:00,2019-03-30 14:15:37+09:00,\"Narita, Japan\",\"191L, Kuko Higashi-dori, Narita, Sanmu, Chiba Prefecture, 282-0004, Japan\",35.76,140.38979999999998,\"191L, Kuko Higashi-dori, Narita, Sanmu, Chiba Prefecture, 282-0004, Japan\",35.76,140.38979999999998,places_27254\n2019-03-31 10:51:04+08:00,2019-03-31 10:51:04+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,places_27255\n2019-03-31 10:51:41+08:00,2019-03-31 10:51:41+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,places_27256\n2019-03-31 11:17:52+08:00,2019-03-31 11:17:52+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,places_27257\n2019-03-31 11:17:57+08:00,2019-03-31 11:17:57+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,places_27258\n2019-03-31 11:23:27+08:00,2019-03-31 11:23:27+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,places_27259\n2019-03-31 11:29:26+08:00,2019-03-31 11:29:26+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.5276,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.5276,places_27260\n2019-03-31 11:29:35+08:00,2019-03-31 11:29:35+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.5276,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.5276,places_27261\n2019-03-31 11:46:18+08:00,2019-03-31 11:46:18+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,places_27262\n2019-03-31 11:46:22+08:00,2019-03-31 11:46:22+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,places_27263\n2019-03-31 13:38:53+08:00,2019-03-31 13:38:53+08:00,Exploring Eslite XinYi Store,\"Eslite XinYi Store, 11, Songgao Road, Xicun Village, Xinyi District, Xingya, Taipei, 11073, Taiwan\",25.0393,121.5656,\"Eslite XinYi Store, 11, Songgao Road, Xicun Village, Xinyi District, Xingya, Taipei, 11073, Taiwan\",25.0393,121.5656,places_27264\n2019-03-31 13:38:56+08:00,2019-03-31 13:38:56+08:00,Exploring Eslite XinYi Store,\"Eslite XinYi Store, 11, Songgao Road, Xicun Village, Xinyi District, Xingya, Taipei, 11073, Taiwan\",25.0392,121.5656,\"Eslite XinYi Store, 11, Songgao Road, Xicun Village, Xinyi District, Xingya, Taipei, 11073, Taiwan\",25.0392,121.5656,places_27265\n2019-03-31 14:02:19+08:00,2019-03-31 14:02:19+08:00,Exploring Taipei City Hall,\"Taipei City Hall (City Hall Rd.), City Hall Road, Xinglong Village, Xinyi District, Xingya, Taipei, 11008, Taiwan\",25.0378,121.5634,\"Taipei City Hall (City Hall Rd.), City Hall Road, Xinglong Village, Xinyi District, Xingya, Taipei, 11008, Taiwan\",25.0378,121.5634,places_27266\n2019-03-31 14:07:01+08:00,2019-03-31 14:07:01+08:00,\"Exploring Xinglong Village, Taiwan\",\"Sanzhangli Branch Line Trail, Xinglong Village, Xinyi District, Chezeng, Taipei, 11008, Taiwan\",25.0379,121.5607,\"Sanzhangli Branch Line Trail, Xinglong Village, Xinyi District, Chezeng, Taipei, 11008, Taiwan\",25.0379,121.5607,places_27267\n2019-03-31 14:08:35+08:00,2019-03-31 14:08:35+08:00,\"Exploring Xinglong Village, Taiwan\",\"Sanzhangli Branch Line Trail, Xinglong Village, Xinyi District, Chezeng, Taipei, 11008, Taiwan\",25.0387,121.5604,\"Sanzhangli Branch Line Trail, Xinglong Village, Xinyi District, Chezeng, Taipei, 11008, Taiwan\",25.0387,121.5604,places_27268\n2019-03-31 14:11:10+08:00,2019-03-31 14:11:10+08:00,\"\"\"Exploring Sun Yat-sen Memorial Hall\"\"\",\"Sun Yat-sen Memorial Hall, 505, Section 4, Ren'ai Road, Xinglong Village, Xinyi District, Chezeng, Taipei, 11073, Taiwan\",25.0397,121.5603,\"Sun Yat-sen Memorial Hall, 505, Section 4, Ren'ai Road, Xinglong Village, Xinyi District, Chezeng, Taipei, 11073, Taiwan\",25.0397,121.5603,places_27269\n2019-03-31 14:25:17+08:00,2019-03-31 14:25:17+08:00,\"Bigtom美國冰淇淋咖啡館 in Chezeng, Taipei\",\"Bigtom美國冰淇淋咖啡館, Guangfu South Road, Xinglong Village, Xinyi District, Chezeng, Taipei, 10694, Taiwan\",25.0386,121.5578,\"Bigtom美國冰淇淋咖啡館, Guangfu South Road, Xinglong Village, Xinyi District, Chezeng, Taipei, 10694, Taiwan\",25.0386,121.5578,places_27270\n2019-04-01 11:46:03+08:00,2019-04-01 11:46:03+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,places_27271\n2019-04-01 11:46:13+08:00,2019-04-01 11:46:13+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,places_27272\n2019-04-01 11:46:18+08:00,2019-04-01 11:46:18+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.52769999999998,places_27273\n2019-04-01 11:50:40+08:00,2019-04-01 11:50:40+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.5276,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.5276,places_27274\n2019-04-01 13:05:56+08:00,2019-04-01 13:05:56+08:00,\"Cama Cafe in Huashan, Taipei\",\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.5276,\"cama cafe, 30, Zhongxiao East Road Section 2, Xingfu Village, Zhongzheng District, Huashan, Taipei, 100, Taiwan\",25.0437,121.5276,places_27275\n2019-04-01 13:10:47+08:00,2019-04-01 13:10:47+08:00,Taipei's KuanHua Market,\"1914 Connection, Jinshan North Road, KuanHua Market, Meihua Village, Zhongzheng District, Huashan, Taipei, 10053, Taiwan\",25.0437,121.5299,\"1914 Connection, Jinshan North Road, KuanHua Market, Meihua Village, Zhongzheng District, Huashan, Taipei, 10053, Taiwan\",25.0437,121.5299,places_27276\n2019-04-01 14:08:24+08:00,2019-04-01 14:08:24+08:00,Exploring Chiang Kai-shek Memorial Hall,\"Chiang Kai-shek Memorial Hall, 21, Zhongshan South Road, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10048, Taiwan\",25.034800000000004,121.5216,\"Chiang Kai-shek Memorial Hall, 21, Zhongshan South Road, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10048, Taiwan\",25.034800000000004,121.5216,places_27277\n2019-04-01 14:09:49+08:00,2019-04-01 14:09:49+08:00,Exploring Chiang Kai-shek Memorial Hall,\"Chiang Kai-shek Memorial Hall, 21, Zhongshan South Road, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10048, Taiwan\",25.0347,121.52179999999998,\"Chiang Kai-shek Memorial Hall, 21, Zhongshan South Road, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10048, Taiwan\",25.0347,121.52179999999998,places_27278\n2019-04-01 14:09:52+08:00,2019-04-01 14:09:52+08:00,Taipei's Democracy Boulevard,\"中正紀念堂銅像大廳, Democracy Boulevard, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10092, Taiwan\",25.0346,121.52189999999996,\"中正紀念堂銅像大廳, Democracy Boulevard, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10092, Taiwan\",25.0346,121.52189999999996,places_27279\n2019-04-01 14:12:25+08:00,2019-04-01 14:12:25+08:00,Exploring Chiang Kai-shek Memorial Hall,\"Chiang Kai-shek Memorial Hall, 21, Zhongshan South Road, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10048, Taiwan\",25.034800000000004,121.5216,\"Chiang Kai-shek Memorial Hall, 21, Zhongshan South Road, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10048, Taiwan\",25.034800000000004,121.5216,places_27280\n2019-04-01 14:13:29+08:00,2019-04-01 14:13:29+08:00,\"Exploring Longtsakoo, Taiwan\",\"Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, Taiwan\",25.0352,121.52119999999998,\"Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, Taiwan\",25.0352,121.52119999999998,places_27281\n2019-04-01 14:19:18+08:00,2019-04-01 14:19:18+08:00,Exploring Chiang Kai-shek Memorial Hall,\"Chiang Kai-shek Memorial Hall, 21, Zhongshan South Road, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10048, Taiwan\",25.0352,121.52189999999996,\"Chiang Kai-shek Memorial Hall, 21, Zhongshan South Road, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10048, Taiwan\",25.0352,121.52189999999996,places_27282\n2019-04-01 14:32:33+08:00,2019-04-01 14:32:33+08:00,\"Exploring Longtsakoo, Taipei\",\"南側樓梯出口, Democracy Boulevard, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10013, Taiwan\",25.0352,121.519,\"南側樓梯出口, Democracy Boulevard, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10013, Taiwan\",25.0352,121.519,places_27283\n2019-04-01 14:32:43+08:00,2019-04-01 14:32:43+08:00,\"Exploring Longtsakoo, Taiwan\",\"Democracy Boulevard, Linsen South Road Motor Tunnel, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10092, Taiwan\",25.0357,121.5201,\"Democracy Boulevard, Linsen South Road Motor Tunnel, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10092, Taiwan\",25.0357,121.5201,places_27284\n2019-04-01 14:34:37+08:00,2019-04-01 14:34:37+08:00,Taipei's Liberty Square,\"Liberty Square, Democracy Boulevard, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10001, Taiwan\",25.0359,121.51919999999998,\"Liberty Square, Democracy Boulevard, Dongmen Village, Zhongzheng District, Longtsakoo, Taipei, 10001, Taiwan\",25.0359,121.51919999999998,places_27285\n2019-04-01 18:04:00+08:00,2019-04-01 18:04:00+08:00,Photographing Platform in Taipei,\"Six Boulders Photographing Platform, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, Taiwan\",25.027,121.5741,\"Six Boulders Photographing Platform, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, Taiwan\",25.027,121.5741,places_27286\n2019-04-01 18:10:42+08:00,2019-04-01 18:10:42+08:00,\"Exploring Sanli Village, Taipei\",\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.57439999999998,\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.57439999999998,places_27287\n2019-04-01 18:16:02+08:00,2019-04-01 18:16:02+08:00,Exploring Liuhe Village Trail,\"象山親山步道主線(稜線), Liuhe Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0268,121.5745,\"象山親山步道主線(稜線), Liuhe Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0268,121.5745,places_27288\n2019-04-01 18:16:44+08:00,2019-04-01 18:16:44+08:00,Exploring Taipei: 梅花球場,\"梅花球場, 象山親山步道永春亭線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0272,121.5729,\"梅花球場, 象山親山步道永春亭線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0272,121.5729,places_27289\n2019-04-01 18:18:23+08:00,2019-04-01 18:18:23+08:00,Exploring Xiangshan Tunnel,\"Xiangshan Tunnel, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0268139,121.5743944,\"Xiangshan Tunnel, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0268139,121.5743944,places_27290\n2019-04-01 18:18:34+08:00,2019-04-01 18:18:34+08:00,Exploring Xiangshan Tunnel,\"Xiangshan Tunnel, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0268083,121.5743861,\"Xiangshan Tunnel, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0268083,121.5743861,places_27291\n2019-04-01 18:18:54+08:00,2019-04-01 18:18:54+08:00,Exploring Taipei from the Xinyi District,\"象山看台北, 101塔樓2號攝影平台, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.026872200000003,121.5744083,\"象山看台北, 101塔樓2號攝影平台, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.026872200000003,121.5744083,places_27292\n2019-04-01 18:19:16+08:00,2019-04-01 18:19:16+08:00,\"Exploring Sanli Village, Taipei\",\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,places_27293\n2019-04-01 18:27:54+08:00,2019-04-01 18:27:54+08:00,\"Exploring Sanli Village, Taipei\",\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.57439999999998,\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.57439999999998,places_27294\n2019-04-01 18:28:24+08:00,2019-04-01 18:28:24+08:00,\"Exploring Sanli Village, Taipei\",\"楠楠相望, 象山親山步道主線(稜線), Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0271,121.5732,\"楠楠相望, 象山親山步道主線(稜線), Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0271,121.5732,places_27295\n2019-04-01 18:30:30+08:00,2019-04-01 18:30:30+08:00,\"Exploring Sanli Village, Taipei\",\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,places_27296\n2019-04-01 18:30:38+08:00,2019-04-01 18:30:38+08:00,\"Exploring Sanli Village, Taipei\",\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,places_27297\n2019-04-01 18:30:50+08:00,2019-04-01 18:30:50+08:00,\"Exploring Sanli Village, Taipei\",\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,places_27298\n2019-04-01 18:33:02+08:00,2019-04-01 18:33:02+08:00,\"Exploring Sanli Village, Taipei\",\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,\"象山親山步道松德院區線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0269,121.5745,places_27299\n2019-04-01 18:33:52+08:00,2019-04-01 18:33:52+08:00,Photographing Platform in Taipei,\"Six Boulders Photographing Platform, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, Taiwan\",25.0267528,121.5742333,\"Six Boulders Photographing Platform, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, Taiwan\",25.0267528,121.5742333,places_27300\n2019-04-01 18:34:03+08:00,2019-04-01 18:34:03+08:00,\"\"\"Photography Platform at 101 Tower\"\"\",\"101塔樓1號攝影平台, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, Taiwan\",25.0272722,121.5731361,\"101塔樓1號攝影平台, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, Taiwan\",25.0272722,121.5731361,places_27301\n2019-04-01 18:34:13+08:00,2019-04-01 18:34:13+08:00,Exploring Taipei: 梅花球場,\"梅花球場, 象山親山步道永春亭線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0272694,121.5730139,\"梅花球場, 象山親山步道永春亭線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0272694,121.5730139,places_27302\n2019-04-01 18:34:18+08:00,2019-04-01 18:34:18+08:00,Exploring Taipei: 梅花球場,\"梅花球場, 象山親山步道永春亭線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0273167,121.5730667,\"梅花球場, 象山親山步道永春亭線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0273167,121.5730667,places_27303\n2019-04-01 18:44:00+08:00,2019-04-01 18:44:00+08:00,Exploring Taipei: 梅花球場,\"梅花球場, 象山親山步道永春亭線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0274,121.5723,\"梅花球場, 象山親山步道永春亭線, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0274,121.5723,places_27304\n2019-04-01 18:47:11+08:00,2019-04-01 18:47:11+08:00,Exploring Nature at 象山自然步道,\"象山自然步道, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0272,121.5732,\"象山自然步道, Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0272,121.5732,places_27305\n2019-04-01 18:54:00+08:00,2019-04-01 18:54:00+08:00,Exploring Taipei's Elephant Mountain Trail,\"四獸山步道意象拍照座椅, 象山親山步道主線(稜線), Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0274,121.5716,\"四獸山步道意象拍照座椅, 象山親山步道主線(稜線), Sanli Village, Xinyi District, Xinyi Commercial Zone, Taipei, 11529, Taiwan\",25.0274,121.5716,places_27306\n2019-04-02 19:09:25-07:00,2019-04-02 19:09:25-07:00,\"Randall County, Texas\",\"State Highway 217, Randall County, Texas, United States\",34.98393380705451,-101.787210489917,\"State Highway 217, Randall County, Texas, United States\",34.98393380705451,-101.787210489917,places_27307\n2019-04-02 19:10:05-07:00,2019-04-02 19:10:05-07:00,\"Randall County, Texas\",\"State Highway 217, Randall County, Texas, United States\",34.98379426157431,-101.78735003539722,\"State Highway 217, Randall County, Texas, United States\",34.98379426157431,-101.78735003539722,places_27308\n2019-04-02 19:16:56-07:00,2019-04-02 19:16:56-07:00,\"Randall County, Texas\",\"State Highway 217, Randall County, Texas, United States\",34.98393380705451,-101.787210489917,\"State Highway 217, Randall County, Texas, United States\",34.98393380705451,-101.787210489917,places_27309\n2019-04-03 08:53:44-07:00,2019-04-03 08:53:44-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03755147425116,-101.90860432341586,\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03755147425116,-101.90860432341586,places_27310\n2019-04-06 12:16:12-07:00,2019-04-06 12:16:12-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.037572942786554,-101.90841110659711,\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.037572942786554,-101.90841110659711,places_27311\n2019-04-06 12:16:37-07:00,2019-04-06 12:16:37-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037453953429015,-101.9084895633598,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037453953429015,-101.9084895633598,places_27312\n2019-04-06 12:16:36-07:00,2019-04-06 12:16:36-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037453953429015,-101.9084895633598,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037453953429015,-101.9084895633598,places_27313\n2019-04-06 12:17:05-07:00,2019-04-06 12:17:05-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,places_27314\n2019-04-06 12:17:19-07:00,2019-04-06 12:17:19-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03752050588879,-101.90851128951766,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03752050588879,-101.90851128951766,places_27315\n2019-04-06 12:17:32-07:00,2019-04-06 12:17:32-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03752050588879,-101.90851128951766,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03752050588879,-101.90851128951766,places_27316\n2019-04-06 12:17:40-07:00,2019-04-06 12:17:40-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.037562208518864,-101.9085077150065,\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.037562208518864,-101.9085077150065,places_27317\n2019-04-10 15:59:42-07:00,2019-04-10 15:59:42-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03733794819794,-101.90882025394504,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03733794819794,-101.90882025394504,places_27318\n2019-04-10 15:59:41-07:00,2019-04-10 15:59:41-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.0372723832908,-101.90888341437628,\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.0372723832908,-101.90888341437628,places_27319\n2019-04-11 16:03:08-07:00,2019-04-11 16:03:08-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,places_27320\n2019-04-11 17:50:51-07:00,2019-04-11 17:50:51-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2962, Greg Street, Randall County, Texas, 79015, United States\",35.03706843220435,-101.90848624647114,\"2962, Greg Street, Randall County, Texas, 79015, United States\",35.03706843220435,-101.90848624647114,places_27321\n2019-04-11 17:50:53-07:00,2019-04-11 17:50:53-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2962, Greg Street, Randall County, Texas, 79015, United States\",35.03706843220435,-101.90848624647114,\"2962, Greg Street, Randall County, Texas, 79015, United States\",35.03706843220435,-101.90848624647114,places_27322\n2019-04-11 17:51:04-07:00,2019-04-11 17:51:04-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2962, Greg Street, Randall County, Texas, 79015, United States\",35.037052330802794,-101.90863115908512,\"2962, Greg Street, Randall County, Texas, 79015, United States\",35.037052330802794,-101.90863115908512,places_27323\n2019-04-11 17:51:03-07:00,2019-04-11 17:51:03-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2962, Greg Street, Randall County, Texas, 79015, United States\",35.03704696366893,-101.9086794632898,\"2962, Greg Street, Randall County, Texas, 79015, United States\",35.03704696366893,-101.9086794632898,places_27324\n2019-04-13 13:08:12-07:00,2019-04-13 13:08:12-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,places_27325\n2019-04-13 13:23:32-07:00,2019-04-13 13:23:32-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,places_27326\n2019-04-13 13:23:49-07:00,2019-04-13 13:23:49-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.03716504061369,-101.90873313462832,\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.03716504061369,-101.90873313462832,places_27327\n2019-04-13 13:24:21-07:00,2019-04-13 13:24:21-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.037293851826185,-101.9086901975575,places_27328\n2019-04-14 08:23:09-07:00,2019-04-14 08:23:09-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.037562208518864,-101.9085077150065,\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.037562208518864,-101.9085077150065,places_27329\n2019-04-14 08:23:14-07:00,2019-04-14 08:23:14-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,places_27330\n2019-04-14 11:09:42-07:00,2019-04-14 11:09:42-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,places_27331\n2019-04-14 11:09:56-07:00,2019-04-14 11:09:56-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03743339730636,-101.90855065207734,places_27332\n2019-04-14 19:19:06-07:00,2019-04-14 19:19:06-07:00,Vancouver's Canada Place,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.288,-123.1128,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.288,-123.1128,places_27333\n2019-04-14 19:28:23-07:00,2019-04-14 19:28:23-07:00,Vancouver's Canada Place,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.28790000000001,-123.1127,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.28790000000001,-123.1127,places_27334\n2019-04-14 20:40:40-07:00,2019-04-14 20:40:40-07:00,\"Exploring Gastown, Vancouver\",\"999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3L6, Canada\",49.2882,-123.1128,\"999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3L6, Canada\",49.2882,-123.1128,places_27335\n2019-04-15 08:03:01-07:00,2019-04-15 08:03:01-07:00,Vancouver's Canada Place,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.288,-123.1127,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.288,-123.1127,places_27336\n2019-04-15 08:03:20-07:00,2019-04-15 08:03:20-07:00,Vancouver's Canada Place,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.288,-123.1128,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.288,-123.1128,places_27337\n2019-04-15 12:16:09-07:00,2019-04-15 12:16:09-07:00,Vancouver's Canada Place,\"Canada Place, West Waterfront Road, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0B9, Canada\",49.2883,-123.1144,\"Canada Place, West Waterfront Road, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0B9, Canada\",49.2883,-123.1144,places_27338\n2019-04-15 12:34:01-07:00,2019-04-15 12:34:01-07:00,\"Luxury in Gastown, Vancouver\",\"Fairmont Pacific Rim, 1038, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0B9, Canada\",49.2883,-123.1167,\"Fairmont Pacific Rim, 1038, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0B9, Canada\",49.2883,-123.1167,places_27339\n2019-04-15 13:45:18-07:00,2019-04-15 13:45:18-07:00,Gastown Nail Salon,\"Waterfront Nails & Waxing, 42, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.116,\"Waterfront Nails & Waxing, 42, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.116,places_27340\n2019-04-15 13:47:29-07:00,2019-04-15 13:47:29-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.1163,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.1163,places_27341\n2019-04-15 13:47:35-07:00,2019-04-15 13:47:35-07:00,Gastown Nail Salon,\"Waterfront Nails & Waxing, 42, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.1159,\"Waterfront Nails & Waxing, 42, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.1159,places_27342\n2019-04-15 14:19:43-07:00,2019-04-15 14:19:43-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.11649999999996,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.11649999999996,places_27343\n2019-04-15 14:19:45-07:00,2019-04-15 14:19:45-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.11649999999996,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.11649999999996,places_27344\n2019-04-15 14:19:50-07:00,2019-04-15 14:19:50-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.1166,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.1166,places_27345\n2019-04-15 14:19:55-07:00,2019-04-15 14:19:55-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.1166,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.1166,places_27346\n2019-04-15 14:19:56-07:00,2019-04-15 14:19:56-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1167,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1167,places_27347\n2019-04-15 14:20:02-07:00,2019-04-15 14:20:02-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1167,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1167,places_27348\n2019-04-15 14:20:03-07:00,2019-04-15 14:20:03-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1168,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1168,places_27349\n2019-04-15 14:20:07-07:00,2019-04-15 14:20:07-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1168,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1168,places_27350\n2019-04-15 14:20:07-07:00,2019-04-15 14:20:07-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1168,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1168,places_27351\n2019-04-15 14:20:08-07:00,2019-04-15 14:20:08-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1168,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1168,places_27352\n2019-04-15 14:20:19-07:00,2019-04-15 14:20:19-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.11649999999996,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.11649999999996,places_27353\n2019-04-15 14:20:20-07:00,2019-04-15 14:20:20-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.11649999999996,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2883,-123.11649999999996,places_27354\n2019-04-15 15:21:26-07:00,2019-04-15 15:21:26-07:00,Gastown's Bellaggio Café & Gelateria,\"Bellaggio Café & Gelateria, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1149,\"Bellaggio Café & Gelateria, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2884,-123.1149,places_27355\n2019-04-15 15:25:50-07:00,2019-04-15 15:25:50-07:00,Vancouver's Canada Place,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.28790000000001,-123.1128,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.28790000000001,-123.1128,places_27356\n2019-04-15 15:25:58-07:00,2019-04-15 15:25:58-07:00,Vancouver's Canada Place,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.288,-123.11249999999998,\"Canada Place, 999, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3C1, Canada\",49.288,-123.11249999999998,places_27357\n2019-04-15 17:05:24-07:00,2019-04-15 17:05:24-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,places_27358\n2019-04-15 17:16:37-07:00,2019-04-15 17:16:37-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,places_27359\n2019-04-15 18:13:08-07:00,2019-04-15 18:13:08-07:00,Gastown Nail Salon,\"Waterfront Nails & Waxing, 42, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.1156,\"Waterfront Nails & Waxing, 42, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.1156,places_27360\n2019-04-15 18:30:43-07:00,2019-04-15 18:30:43-07:00,Gastown Nail Salon,\"Waterfront Nails & Waxing, 42, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.116,\"Waterfront Nails & Waxing, 42, Seawall, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.116,places_27361\n2019-04-15 18:30:48-07:00,2019-04-15 18:30:48-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,places_27362\n2019-04-15 18:31:20-07:00,2019-04-15 18:31:20-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.116,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.116,places_27363\n2019-04-15 18:31:22-07:00,2019-04-15 18:31:22-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.116,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.116,places_27364\n2019-04-15 18:34:27-07:00,2019-04-15 18:34:27-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.1157,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.1157,places_27365\n2019-04-15 18:53:48-07:00,2019-04-15 18:53:48-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.1159,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.1159,places_27366\n2019-04-15 20:31:18-07:00,2019-04-15 20:31:18-07:00,Vancouver's Olympic Cauldron,\"2010 Olympic Cauldron, Jack Poole Plaza, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0B9, Canada\",49.2891,-123.11779999999996,\"2010 Olympic Cauldron, Jack Poole Plaza, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0B9, Canada\",49.2891,-123.11779999999996,places_27367\n2019-04-16 07:52:35-07:00,2019-04-16 07:52:35-07:00,Vancouver's Shaw Tower,\"Shaw Tower, 1067;1077, West Cordova Street, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6E 0C3, Canada\",49.2885,-123.1177,\"Shaw Tower, 1067;1077, West Cordova Street, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6E 0C3, Canada\",49.2885,-123.1177,places_27368\n2019-04-16 07:52:38-07:00,2019-04-16 07:52:38-07:00,Vancouver's Shaw Tower,\"Shaw Tower, 1067;1077, West Cordova Street, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6E 0C3, Canada\",49.2885,-123.1176,\"Shaw Tower, 1067;1077, West Cordova Street, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6E 0C3, Canada\",49.2885,-123.1176,places_27369\n2019-04-16 07:52:47-07:00,2019-04-16 07:52:47-07:00,Vancouver's Shaw Tower,\"Shaw Tower, 1067;1077, West Cordova Street, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6E 0C3, Canada\",49.2885,-123.1177,\"Shaw Tower, 1067;1077, West Cordova Street, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6E 0C3, Canada\",49.2885,-123.1177,places_27370\n2019-04-16 07:52:51-07:00,2019-04-16 07:52:51-07:00,Vancouver's Shaw Tower,\"Shaw Tower, 1067;1077, West Cordova Street, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6E 0C3, Canada\",49.2885,-123.1176,\"Shaw Tower, 1067;1077, West Cordova Street, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6E 0C3, Canada\",49.2885,-123.1176,places_27371\n2019-04-16 10:02:50-07:00,2019-04-16 10:02:50-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.1159,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.1159,places_27372\n2019-04-16 10:35:31-07:00,2019-04-16 10:35:31-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.11649999999996,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.11649999999996,places_27373\n2019-04-16 11:19:47-07:00,2019-04-16 11:19:47-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1161,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1161,places_27374\n2019-04-16 11:33:45-07:00,2019-04-16 11:33:45-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.116,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.116,places_27375\n2019-04-16 12:43:45-07:00,2019-04-16 12:43:45-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2895,-123.116,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2895,-123.116,places_27376\n2019-04-16 12:43:50-07:00,2019-04-16 12:43:50-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2895,-123.116,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2895,-123.116,places_27377\n2019-04-16 15:58:10-07:00,2019-04-16 15:58:10-07:00,Vancouver's Olympic Cauldron,\"2010 Olympic Cauldron, Jack Poole Plaza, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0B9, Canada\",49.2891,-123.1175,\"2010 Olympic Cauldron, Jack Poole Plaza, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0B9, Canada\",49.2891,-123.1175,places_27378\n2019-04-16 18:44:28-07:00,2019-04-16 18:44:28-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,places_27379\n2019-04-17 08:56:50-07:00,2019-04-17 08:56:50-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2894,-123.1161,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2894,-123.1161,places_27380\n2019-04-17 09:16:52-07:00,2019-04-17 09:16:52-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2895,-123.1161,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2895,-123.1161,places_27381\n2019-04-17 09:30:42-07:00,2019-04-17 09:30:42-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.1159,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.1159,places_27382\n2019-04-17 09:34:50-07:00,2019-04-17 09:34:50-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,places_27383\n2019-04-17 09:51:56-07:00,2019-04-17 09:51:56-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897,-123.116,places_27384\n2019-04-17 11:32:25-07:00,2019-04-17 11:32:25-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1159,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1159,places_27385\n2019-04-17 12:32:29-07:00,2019-04-17 12:32:29-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1159,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1159,places_27386\n2019-04-17 12:35:17-07:00,2019-04-17 12:35:17-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1163,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1163,places_27387\n2019-04-17 12:35:20-07:00,2019-04-17 12:35:20-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1161,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1161,places_27388\n2019-04-17 12:43:24-07:00,2019-04-17 12:43:24-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1161,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1161,places_27389\n2019-04-17 12:43:27-07:00,2019-04-17 12:43:27-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1159,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1159,places_27390\n2019-04-17 13:44:56-07:00,2019-04-17 13:44:56-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2895,-123.115,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2895,-123.115,places_27391\n2019-04-17 18:34:48-07:00,2019-04-17 18:34:48-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.1161,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.1161,places_27392\n2019-04-17 18:37:48-07:00,2019-04-17 18:37:48-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.116,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.116,places_27393\n2019-04-18 09:00:47-07:00,2019-04-18 09:00:47-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1159,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1159,places_27394\n2019-04-18 09:25:03-07:00,2019-04-18 09:25:03-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1157,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896,-123.1157,places_27395\n2019-04-18 10:00:34-07:00,2019-04-18 10:00:34-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.1161,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2898,-123.1161,places_27396\n2019-04-18 11:45:23-07:00,2019-04-18 11:45:23-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896278,-123.1160139,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896278,-123.1160139,places_27397\n2019-04-18 11:48:54-07:00,2019-04-18 11:48:54-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896083,-123.1156611,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896083,-123.1156611,places_27398\n2019-04-18 12:01:17-07:00,2019-04-18 12:01:17-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897306,-123.115775,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897306,-123.115775,places_27399\n2019-04-18 12:03:14-07:00,2019-04-18 12:03:14-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2894833,-123.11611109999998,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2894833,-123.11611109999998,places_27400\n2019-04-18 12:18:17-07:00,2019-04-18 12:18:17-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2888139,-123.1159972,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2888139,-123.1159972,places_27401\n2019-04-18 12:29:21-07:00,2019-04-18 12:29:21-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2887917,-123.11611109999998,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2887917,-123.11611109999998,places_27402\n2019-04-18 16:25:56-07:00,2019-04-18 16:25:56-07:00,Vancouver's Canada Place,\"Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3L6, Canada\",49.2881972,-123.1155778,\"Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3L6, Canada\",49.2881972,-123.1155778,places_27403\n2019-04-18 16:26:01-07:00,2019-04-18 16:26:01-07:00,Vancouver's Canada Place,\"Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3L6, Canada\",49.2881972,-123.1155778,\"Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3L6, Canada\",49.2881972,-123.1155778,places_27404\n2019-04-18 16:26:04-07:00,2019-04-18 16:26:04-07:00,Vancouver's Canada Place,\"Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3L6, Canada\",49.2881611,-123.1155778,\"Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3L6, Canada\",49.2881611,-123.1155778,places_27405\n2019-04-18 16:26:07-07:00,2019-04-18 16:26:07-07:00,Vancouver's Canada Place,\"Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3L6, Canada\",49.2881611,-123.1155778,\"Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 3L6, Canada\",49.2881611,-123.1155778,places_27406\n2019-04-18 17:10:13-07:00,2019-04-18 17:10:13-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2893528,-123.11579999999998,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2893528,-123.11579999999998,places_27407\n2019-04-18 17:10:17-07:00,2019-04-18 17:10:17-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2893528,-123.11579999999998,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2893528,-123.11579999999998,places_27408\n2019-04-18 17:27:02-07:00,2019-04-18 17:27:02-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896917,-123.11579999999998,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896917,-123.11579999999998,places_27409\n2019-04-18 17:54:04-07:00,2019-04-18 17:54:04-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896806,-123.1157694,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896806,-123.1157694,places_27410\n2019-04-18 19:46:42-07:00,2019-04-18 19:46:42-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2882722,-123.1162639,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2882722,-123.1162639,places_27411\n2019-04-18 19:46:47-07:00,2019-04-18 19:46:47-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2882611,-123.11625,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2882611,-123.11625,places_27412\n2019-04-19 11:21:20-07:00,2019-04-19 11:21:20-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896694,-123.1161028,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896694,-123.1161028,places_27413\n2019-04-19 11:22:29-07:00,2019-04-19 11:22:29-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897194,-123.1159972,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897194,-123.1159972,places_27414\n2019-04-19 11:34:21-07:00,2019-04-19 11:34:21-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896806,-123.1160278,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2896806,-123.1160278,places_27415\n2019-04-19 11:37:25-07:00,2019-04-19 11:37:25-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897222,-123.1160056,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897222,-123.1160056,places_27416\n2019-04-19 11:38:46-07:00,2019-04-19 11:38:46-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.28954720000001,-123.1160139,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.28954720000001,-123.1160139,places_27417\n2019-04-19 11:39:45-07:00,2019-04-19 11:39:45-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.28975,-123.1159056,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.28975,-123.1159056,places_27418\n2019-04-19 11:41:51-07:00,2019-04-19 11:41:51-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897111,-123.11592779999998,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897111,-123.11592779999998,places_27419\n2019-04-19 11:42:16-07:00,2019-04-19 11:42:16-07:00,Vancouver Convention Centre West,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897222,-123.11598329999998,\"Vancouver Convention Centre West, 1055, Canada Place, Gastown, Downtown, Vancouver, Metro Vancouver Regional District, British Columbia, V6C 0C3, Canada\",49.2897222,-123.11598329999998,places_27420\n2019-04-20 11:12:11-07:00,2019-04-20 11:12:11-07:00,\"Old School Iron in Amarillo, TX\",\"Old School Iron, 3928, Business Park Drive, Western Business Park, Amarillo, Randall County, Texas, 79110, United States\",35.14413922100794,-101.87999029728296,\"Old School Iron, 3928, Business Park Drive, Western Business Park, Amarillo, Randall County, Texas, 79110, United States\",35.14413922100794,-101.87999029728296,places_27421\n2019-04-20 13:02:58-07:00,2019-04-20 13:02:58-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03744471122455,-101.90857274320028,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03744471122455,-101.90857274320028,places_27422\n2019-04-20 14:04:32-07:00,2019-04-20 14:04:32-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.0374716220337,-101.90854823686712,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.0374716220337,-101.90854823686712,places_27423\n2019-04-20 17:58:49-07:00,2019-04-20 17:58:49-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037502558193225,-101.90861030240296,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037502558193225,-101.90861030240296,places_27424\n2019-04-20 17:58:54-07:00,2019-04-20 17:58:54-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037479361440695,-101.90860249859033,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037479361440695,-101.90860249859033,places_27425\n2019-04-21 10:33:26-07:00,2019-04-21 10:33:26-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03766621283866,-101.90862552359462,\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03766621283866,-101.90862552359462,places_27426\n2019-04-21 11:39:34-07:00,2019-04-21 11:39:34-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.03732577553836,-101.9088371496824,\"2964, Greg Street, Randall County, Texas, 79015, United States\",35.03732577553836,-101.9088371496824,places_27427\n2019-04-21 11:39:50-07:00,2019-04-21 11:39:50-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03747303895704,-101.90859688456833,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03747303895704,-101.90859688456833,places_27428\n2019-04-21 11:41:20-07:00,2019-04-21 11:41:20-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03744678293821,-101.90867801416366,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03744678293821,-101.90867801416366,places_27429\n2019-04-21 11:41:39-07:00,2019-04-21 11:41:39-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03745391049196,-101.90858260799229,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03745391049196,-101.90858260799229,places_27430\n2019-04-22 19:13:15-07:00,2019-04-22 19:13:15-07:00,\"Exploring Randall County, Texas\",\"Myatt Drive, Randall County, Texas, 79119, United States\",35.0991566710626,-101.95215682201444,\"Myatt Drive, Randall County, Texas, 79119, United States\",35.0991566710626,-101.95215682201444,places_27431\n2019-04-22 19:24:01-07:00,2019-04-22 19:24:01-07:00,\"Exploring Randall County, Texas\",\"Myatt Drive, Randall County, Texas, 79119, United States\",35.0991566710626,-101.95215682201444,\"Myatt Drive, Randall County, Texas, 79119, United States\",35.0991566710626,-101.95215682201444,places_27432\n2019-04-23 08:14:56-07:00,2019-04-23 08:14:56-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03756368984783,-101.90861829943243,\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03756368984783,-101.90861829943243,places_27433\n2019-04-23 08:14:55-07:00,2019-04-23 08:14:55-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03756368984783,-101.90861829943243,\"2968, Greg Street, Randall County, Texas, 79015, United States\",35.03756368984783,-101.90861829943243,places_27434\n2019-04-23 09:58:20-07:00,2019-04-23 09:58:20-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03744321916134,-101.9085861717692,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03744321916134,-101.9085861717692,places_27435\n2019-04-23 12:25:08-07:00,2019-04-23 12:25:08-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03745841888442,-101.90857329064792,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.03745841888442,-101.90857329064792,places_27436\n2019-04-24 18:32:53-07:00,2019-04-24 18:32:53-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0619556,-112.1084528,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0619556,-112.1084528,places_27437\n2019-04-24 18:35:19-07:00,2019-04-24 18:35:19-07:00,\"Exploring Mather Point, Grand Canyon\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.062175,-112.1088944,\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.062175,-112.1088944,places_27438\n2019-04-24 18:35:28-07:00,2019-04-24 18:35:28-07:00,\"Exploring Mather Point, Grand Canyon\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0621722,-112.1088861,\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0621722,-112.1088861,places_27439\n2019-04-24 18:35:38-07:00,2019-04-24 18:35:38-07:00,\"Exploring Mather Point, Grand Canyon\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0621722,-112.1088778,\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0621722,-112.1088778,places_27440\n2019-04-24 18:40:38-07:00,2019-04-24 18:40:38-07:00,\"Exploring Mather Point, Grand Canyon\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0621389,-112.1088639,\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0621389,-112.1088639,places_27441\n2019-04-24 18:40:41-07:00,2019-04-24 18:40:41-07:00,\"Exploring Mather Point, Grand Canyon\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0621417,-112.1088722,\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0621417,-112.1088722,places_27442\n2019-04-24 18:41:36-07:00,2019-04-24 18:41:36-07:00,\"Exploring Mather Point, Grand Canyon\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0621722,-112.1088861,\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0621722,-112.1088861,places_27443\n2019-04-24 18:41:41-07:00,2019-04-24 18:41:41-07:00,\"Exploring Mather Point, Grand Canyon\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.062175,-112.1088778,\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.062175,-112.1088778,places_27444\n2019-04-24 18:41:43-07:00,2019-04-24 18:41:43-07:00,\"Exploring Mather Point, Grand Canyon\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.062175,-112.1088778,\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.062175,-112.1088778,places_27445\n2019-04-24 18:41:46-07:00,2019-04-24 18:41:46-07:00,\"Exploring Mather Point, Grand Canyon\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.062175,-112.1088778,\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.062175,-112.1088778,places_27446\n2019-04-24 18:43:55-07:00,2019-04-24 18:43:55-07:00,\"Exploring Mather Point, Grand Canyon\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.062125,-112.1087889,\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.062125,-112.1087889,places_27447\n2019-04-24 18:45:25-07:00,2019-04-24 18:45:25-07:00,\"Exploring Mather Point, Grand Canyon\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0620833,-112.1088639,\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0620833,-112.1088639,places_27448\n2019-04-24 18:50:35-07:00,2019-04-24 18:50:35-07:00,Exploring the Grand Canyon,\"Grand Canyon, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0629583,-112.1095972,\"Grand Canyon, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0629583,-112.1095972,places_27449\n2019-04-24 18:52:17-07:00,2019-04-24 18:52:17-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0626,-112.1107639,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0626,-112.1107639,places_27450\n2019-04-24 18:52:16-07:00,2019-04-24 18:52:16-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0626,-112.1107639,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0626,-112.1107639,places_27451\n2019-04-24 18:55:48-07:00,2019-04-24 18:55:48-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0632028,-112.1114972,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0632028,-112.1114972,places_27452\n2019-04-24 18:55:59-07:00,2019-04-24 18:55:59-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0633083,-112.1118083,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0633083,-112.1118083,places_27453\n2019-04-24 18:59:17-07:00,2019-04-24 18:59:17-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0632556,-112.1116944,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0632556,-112.1116944,places_27454\n2019-04-24 18:59:23-07:00,2019-04-24 18:59:23-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0632556,-112.1116944,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0632556,-112.1116944,places_27455\n2019-04-24 18:59:30-07:00,2019-04-24 18:59:30-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0632556,-112.1116944,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0632556,-112.1116944,places_27456\n2019-04-24 19:06:22-07:00,2019-04-24 19:06:22-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0645306,-112.1132667,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0645306,-112.1132667,places_27457\n2019-04-24 19:07:27-07:00,2019-04-24 19:07:27-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0644083,-112.1134722,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0644083,-112.1134722,places_27458\n2019-04-24 19:10:19-07:00,2019-04-24 19:10:19-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0649139,-112.1152111,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0649139,-112.1152111,places_27459\n2019-04-24 19:10:24-07:00,2019-04-24 19:10:24-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0649139,-112.1152111,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0649139,-112.1152111,places_27460\n2019-04-24 19:13:51-07:00,2019-04-24 19:13:51-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.065675,-112.1167972,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.065675,-112.1167972,places_27461\n2019-04-24 19:13:55-07:00,2019-04-24 19:13:55-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.065675,-112.1167972,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.065675,-112.1167972,places_27462\n2019-04-24 19:15:23-07:00,2019-04-24 19:15:23-07:00,Exploring Yavapai Lodge Road,\"Yavapai East 7451-7483, Yavapai Lodge Road, Grand Canyon Village, Coconino County, Arizona, United States\",36.0595167,-112.11605,\"Yavapai East 7451-7483, Yavapai Lodge Road, Grand Canyon Village, Coconino County, Arizona, United States\",36.0595167,-112.11605,places_27463\n2019-04-24 19:16:48-07:00,2019-04-24 19:16:48-07:00,Exploring Arizona's Geology at Yavapai Museum,\"Yavapai Geology Museum, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0662472,-112.1172556,\"Yavapai Geology Museum, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0662472,-112.1172556,places_27464\n2019-04-24 19:16:52-07:00,2019-04-24 19:16:52-07:00,Exploring Arizona's Geology at Yavapai Museum,\"Yavapai Geology Museum, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0662167,-112.1172472,\"Yavapai Geology Museum, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0662167,-112.1172472,places_27465\n2019-04-24 19:16:56-07:00,2019-04-24 19:16:56-07:00,Exploring Arizona's Geology at Yavapai Museum,\"Yavapai Geology Museum, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0662167,-112.1172472,\"Yavapai Geology Museum, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0662167,-112.1172472,places_27466\n2019-04-24 19:16:59-07:00,2019-04-24 19:16:59-07:00,Exploring Arizona's Geology at Yavapai Museum,\"Yavapai Geology Museum, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0662167,-112.1172472,\"Yavapai Geology Museum, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0662167,-112.1172472,places_27467\n2019-04-24 19:17:03-07:00,2019-04-24 19:17:03-07:00,Exploring Arizona's Geology at Yavapai Museum,\"Yavapai Geology Museum, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0662167,-112.1172472,\"Yavapai Geology Museum, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0662167,-112.1172472,places_27468\n2019-04-24 19:19:38-07:00,2019-04-24 19:19:38-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659667,-112.1167917,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659667,-112.1167917,places_27469\n2019-04-24 19:19:40-07:00,2019-04-24 19:19:40-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659611,-112.1167972,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659611,-112.1167972,places_27470\n2019-04-24 19:19:44-07:00,2019-04-24 19:19:44-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659611,-112.1167972,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659611,-112.1167972,places_27471\n2019-04-24 19:19:51-07:00,2019-04-24 19:19:51-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659611,-112.1167972,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659611,-112.1167972,places_27472\n2019-04-24 19:20:08-07:00,2019-04-24 19:20:08-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,places_27473\n2019-04-24 19:20:16-07:00,2019-04-24 19:20:16-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,places_27474\n2019-04-24 19:20:19-07:00,2019-04-24 19:20:19-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,places_27475\n2019-04-24 19:20:25-07:00,2019-04-24 19:20:25-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,places_27476\n2019-04-24 19:20:32-07:00,2019-04-24 19:20:32-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,places_27477\n2019-04-24 19:20:35-07:00,2019-04-24 19:20:35-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,places_27478\n2019-04-24 19:20:37-07:00,2019-04-24 19:20:37-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,places_27479\n2019-04-24 19:20:39-07:00,2019-04-24 19:20:39-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,places_27480\n2019-04-24 19:20:40-07:00,2019-04-24 19:20:40-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,places_27481\n2019-04-24 19:21:41-07:00,2019-04-24 19:21:41-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0658417,-112.1168139,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0658417,-112.1168139,places_27482\n2019-04-24 19:21:48-07:00,2019-04-24 19:21:48-07:00,\"Exploring Yavapai Point, Grand Canyon\",\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,\"Yavapai Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0659556,-112.1167833,places_27483\n2019-04-25 05:37:52-07:00,2019-04-25 05:37:52-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602028,-112.1063833,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602028,-112.1063833,places_27484\n2019-04-25 05:39:19-07:00,2019-04-25 05:39:19-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0610167,-112.1069806,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0610167,-112.1069806,places_27485\n2019-04-25 05:41:32-07:00,2019-04-25 05:41:32-07:00,Exploring Yavapai Lodge Road,\"Yavapai East 7451-7483, Yavapai Lodge Road, Grand Canyon Village, Coconino County, Arizona, United States\",36.0591917,-112.1162806,\"Yavapai East 7451-7483, Yavapai Lodge Road, Grand Canyon Village, Coconino County, Arizona, United States\",36.0591917,-112.1162806,places_27486\n2019-04-25 05:42:07-07:00,2019-04-25 05:42:07-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602083,-112.1066889,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602083,-112.1066889,places_27487\n2019-04-25 05:42:46-07:00,2019-04-25 05:42:46-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601472,-112.1066972,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601472,-112.1066972,places_27488\n2019-04-25 05:42:53-07:00,2019-04-25 05:42:53-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601778,-112.1067194,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601778,-112.1067194,places_27489\n2019-04-25 05:43:32-07:00,2019-04-25 05:43:32-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601167,-112.1067361,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601167,-112.1067361,places_27490\n2019-04-25 05:43:36-07:00,2019-04-25 05:43:36-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601278,-112.1067583,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601278,-112.1067583,places_27491\n2019-04-25 05:43:42-07:00,2019-04-25 05:43:42-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601722,-112.1067111,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601722,-112.1067111,places_27492\n2019-04-25 05:43:47-07:00,2019-04-25 05:43:47-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601667,-112.1067056,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601667,-112.1067056,places_27493\n2019-04-25 05:43:52-07:00,2019-04-25 05:43:52-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601667,-112.1067056,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601667,-112.1067056,places_27494\n2019-04-25 05:44:01-07:00,2019-04-25 05:44:01-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601667,-112.1066806,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601667,-112.1066806,places_27495\n2019-04-25 05:44:16-07:00,2019-04-25 05:44:16-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601722,-112.106675,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601722,-112.106675,places_27496\n2019-04-25 05:44:18-07:00,2019-04-25 05:44:18-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601722,-112.106675,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601722,-112.106675,places_27497\n2019-04-25 05:44:23-07:00,2019-04-25 05:44:23-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601722,-112.106675,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601722,-112.106675,places_27498\n2019-04-25 05:45:05-07:00,2019-04-25 05:45:05-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601472,-112.106575,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0601472,-112.106575,places_27499\n2019-04-25 05:46:17-07:00,2019-04-25 05:46:17-07:00,Exploring Yavapai Lodge Road,\"Yavapai East 7451-7483, Yavapai Lodge Road, Grand Canyon Village, Coconino County, Arizona, United States\",36.0592583,-112.1160139,\"Yavapai East 7451-7483, Yavapai Lodge Road, Grand Canyon Village, Coconino County, Arizona, United States\",36.0592583,-112.1160139,places_27500\n2019-04-25 05:46:26-07:00,2019-04-25 05:46:26-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0603056,-112.1064694,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0603056,-112.1064694,places_27501\n2019-04-25 05:47:17-07:00,2019-04-25 05:47:17-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602528,-112.1067361,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602528,-112.1067361,places_27502\n2019-04-25 05:47:39-07:00,2019-04-25 05:47:39-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602917,-112.106575,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602917,-112.106575,places_27503\n2019-04-25 05:47:50-07:00,2019-04-25 05:47:50-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602917,-112.106575,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602917,-112.106575,places_27504\n2019-04-25 05:47:49-07:00,2019-04-25 05:47:49-07:00,Exploring Mather Point,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602917,-112.106575,\"Mather Point Amphitheatre, Grand Canyon Village, Coconino County, Arizona, United States\",36.0602917,-112.106575,places_27505\n2019-04-25 05:54:16-07:00,2019-04-25 05:54:16-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0616194,-112.1087111,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0616194,-112.1087111,places_27506\n2019-04-25 05:54:36-07:00,2019-04-25 05:54:36-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0616417,-112.1086056,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0616417,-112.1086056,places_27507\n2019-04-25 05:59:41-07:00,2019-04-25 05:59:41-07:00,\"Exploring Mather Point, Grand Canyon\",\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0623139,-112.1087639,\"Mather Point, Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0623139,-112.1087639,places_27508\n2019-04-25 06:10:13-07:00,2019-04-25 06:10:13-07:00,Exploring Yavapai Lodge Road,\"Yavapai East 7451-7483, Yavapai Lodge Road, Grand Canyon Village, Coconino County, Arizona, United States\",36.0593028,-112.1160444,\"Yavapai East 7451-7483, Yavapai Lodge Road, Grand Canyon Village, Coconino County, Arizona, United States\",36.0593028,-112.1160444,places_27509\n2019-04-25 06:40:46-07:00,2019-04-25 06:40:46-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0647917,-112.1226056,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0647917,-112.1226056,places_27510\n2019-04-25 06:43:27-07:00,2019-04-25 06:43:27-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0648639,-112.12243610000002,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0648639,-112.12243610000002,places_27511\n2019-04-25 07:03:31-07:00,2019-04-25 07:03:31-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0581694,-112.1264333,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0581694,-112.1264333,places_27512\n2019-04-25 07:21:47-07:00,2019-04-25 07:21:47-07:00,\"\"\"Exploring the Grand Canyon\"\"\",\"1.5 Mile Resthouse, Bright Angel Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0590972,-112.1394972,\"1.5 Mile Resthouse, Bright Angel Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0590972,-112.1394972,places_27513\n2019-04-25 07:27:41-07:00,2019-04-25 07:27:41-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0573194,-112.1321556,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0573194,-112.1321556,places_27514\n2019-04-25 07:27:43-07:00,2019-04-25 07:27:43-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0573194,-112.1321556,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0573194,-112.1321556,places_27515\n2019-04-25 08:54:45-07:00,2019-04-25 08:54:45-07:00,Exploring the Grand Canyon,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0630694,-112.1239611,\"Rim Trail, Grand Canyon Village, Coconino County, Arizona, United States\",36.0630694,-112.1239611,places_27516\n2019-04-25 14:37:44-07:00,2019-04-25 14:37:44-07:00,Exploring Uptown Sedona,\"AZ 89A, Uptown Sedona, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8663222,-111.7747278,\"AZ 89A, Uptown Sedona, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8663222,-111.7747278,places_27517\n2019-04-25 14:37:52-07:00,2019-04-25 14:37:52-07:00,Exploring Uptown Sedona,\"AZ 89A, Uptown Sedona, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8663361,-111.7747333,\"AZ 89A, Uptown Sedona, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8663361,-111.7747333,places_27518\n2019-04-25 14:37:59-07:00,2019-04-25 14:37:59-07:00,\"Exploring Sedona, AZ\",\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8665778,-111.7748806,\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8665778,-111.7748806,places_27519\n2019-04-25 14:38:09-07:00,2019-04-25 14:38:09-07:00,\"Exploring Sedona, AZ\",\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.866641699999995,-111.7748333,\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.866641699999995,-111.7748333,places_27520\n2019-04-25 14:38:15-07:00,2019-04-25 14:38:15-07:00,\"Exploring Sedona, AZ\",\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8666528,-111.774825,\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8666528,-111.774825,places_27521\n2019-04-25 14:38:48-07:00,2019-04-25 14:38:48-07:00,Exploring Uptown Sedona,\"AZ 89A, Uptown Sedona, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8663472,-111.7747417,\"AZ 89A, Uptown Sedona, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8663472,-111.7747417,places_27522\n2019-04-25 14:39:05-07:00,2019-04-25 14:39:05-07:00,\"Exploring Sedona, AZ\",\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8665167,-111.7749417,\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8665167,-111.7749417,places_27523\n2019-04-25 14:49:04-07:00,2019-04-25 14:49:04-07:00,\"Exploring Sedona, AZ\",\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8666611,-111.7749722,\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8666611,-111.7749722,places_27524\n2019-04-25 14:49:31-07:00,2019-04-25 14:49:31-07:00,\"Exploring Sedona, AZ\",\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8664667,-111.77485,\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8664667,-111.77485,places_27525\n2019-04-25 14:49:33-07:00,2019-04-25 14:49:33-07:00,\"Exploring Sedona, AZ\",\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8664583,-111.7748556,\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8664583,-111.7748556,places_27526\n2019-04-25 14:49:34-07:00,2019-04-25 14:49:34-07:00,\"Exploring Sedona, AZ\",\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8664583,-111.7748556,\"Crusty, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8664583,-111.7748556,places_27527\n2019-04-25 17:54:13-07:00,2019-04-25 17:54:13-07:00,Sedona Airport View,\"Sedona Airport Overlook, Airport Road, Copper Vista Estates, Sedona, Yavapai County, Arizona, 86336, United States\",34.8535194,-111.7898167,\"Sedona Airport Overlook, Airport Road, Copper Vista Estates, Sedona, Yavapai County, Arizona, 86336, United States\",34.8535194,-111.7898167,places_27528\n2019-04-25 18:01:35-07:00,2019-04-25 18:01:35-07:00,\"Exploring Sedona, AZ\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8540111,-111.7882222,\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8540111,-111.7882222,places_27529\n2019-04-25 18:03:14-07:00,2019-04-25 18:03:14-07:00,\"Exploring Oak Creek Dev No. 1, Sedona\",\"322, Oak Creek Boulevard, Oak Creek Dev No. 1, Sedona, Yavapai County, Arizona, 86336, United States\",34.8590389,-111.7877972,\"322, Oak Creek Boulevard, Oak Creek Dev No. 1, Sedona, Yavapai County, Arizona, 86336, United States\",34.8590389,-111.7877972,places_27530\n2019-04-25 18:15:41-07:00,2019-04-25 18:15:41-07:00,\"Exploring Sedona, AZ\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.855111099999995,-111.7809833,\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.855111099999995,-111.7809833,places_27531\n2019-04-25 18:22:55-07:00,2019-04-25 18:22:55-07:00,\"Exploring Sedona, Arizona\",\"Brewer Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8564722,-111.7794333,\"Brewer Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8564722,-111.7794333,places_27532\n2019-04-25 18:24:57-07:00,2019-04-25 18:24:57-07:00,\"\"\"Exploring Sedona's Airport Mesa Viewpoint\"\"\",\"Airport Mesa Viewpoint, Summit Trail, Sedona, Yavapai County, Arizona, 86336, United States\",34.8558583,-111.779075,\"Airport Mesa Viewpoint, Summit Trail, Sedona, Yavapai County, Arizona, 86336, United States\",34.8558583,-111.779075,places_27533\n2019-04-25 18:25:06-07:00,2019-04-25 18:25:06-07:00,\"\"\"Exploring Sedona's Airport Mesa Viewpoint\"\"\",\"Airport Mesa Viewpoint, Summit Trail, Sedona, Yavapai County, Arizona, 86336, United States\",34.8558528,-111.7791056,\"Airport Mesa Viewpoint, Summit Trail, Sedona, Yavapai County, Arizona, 86336, United States\",34.8558528,-111.7791056,places_27534\n2019-04-25 18:42:55-07:00,2019-04-25 18:42:55-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"2, Emblem Place, Sedona, Yavapai County, Arizona, 86336, United States\",34.8613389,-111.7809306,\"2, Emblem Place, Sedona, Yavapai County, Arizona, 86336, United States\",34.8613389,-111.7809306,places_27535\n2019-04-25 18:43:03-07:00,2019-04-25 18:43:03-07:00,\"Exploring Sedona, AZ\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.854675,-111.7834917,\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.854675,-111.7834917,places_27536\n2019-04-25 18:43:05-07:00,2019-04-25 18:43:05-07:00,\"Exploring Sedona, AZ\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546306,-111.7835833,\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546306,-111.7835833,places_27537\n2019-04-25 18:43:14-07:00,2019-04-25 18:43:14-07:00,\"Exploring Sedona, AZ\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546972,-111.7836083,\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546972,-111.7836083,places_27538\n2019-04-25 18:43:22-07:00,2019-04-25 18:43:22-07:00,\"Exploring Sedona, AZ\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546778,-111.7836,\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546778,-111.7836,places_27539\n2019-04-25 18:43:39-07:00,2019-04-25 18:43:39-07:00,\"Exploring Sedona, AZ\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546833,-111.7836389,\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546833,-111.7836389,places_27540\n2019-04-25 18:43:43-07:00,2019-04-25 18:43:43-07:00,\"Exploring Sedona, AZ\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546667,-111.7836528,\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546667,-111.7836528,places_27541\n2019-04-25 18:43:58-07:00,2019-04-25 18:43:58-07:00,\"Exploring Sedona, AZ\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546528,-111.7836528,\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546528,-111.7836528,places_27542\n2019-04-25 18:44:04-07:00,2019-04-25 18:44:04-07:00,\"Exploring Sedona, AZ\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546722,-111.7836444,\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8546722,-111.7836444,places_27543\n2019-04-26 00:48:52+00:00,2019-04-26 00:48:52+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27544\n2019-04-25 18:53:16-07:00,2019-04-25 18:53:16-07:00,Exploring Sedona's Airport Loop Trail,\"Airport Loop Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8557583,-111.7853917,\"Airport Loop Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8557583,-111.7853917,places_27545\n2019-04-25 18:56:35-07:00,2019-04-25 18:56:35-07:00,\"Sedona Airport, Arizona\",\"Sedona Airport, 235, Air Terminal Drive, Sedona, Yavapai County, Arizona, 86336, United States\",34.8538778,-111.7857056,\"Sedona Airport, 235, Air Terminal Drive, Sedona, Yavapai County, Arizona, 86336, United States\",34.8538778,-111.7857056,places_27546\n2019-04-25 18:56:37-07:00,2019-04-25 18:56:37-07:00,\"Sedona Airport, Arizona\",\"Sedona Airport, 235, Air Terminal Drive, Sedona, Yavapai County, Arizona, 86336, United States\",34.8538778,-111.7857056,\"Sedona Airport, 235, Air Terminal Drive, Sedona, Yavapai County, Arizona, 86336, United States\",34.8538778,-111.7857056,places_27547\n2019-04-25 19:01:34-07:00,2019-04-25 19:01:34-07:00,\"Exploring Sedona, AZ\",\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8537222,-111.7884833,\"Sedona View Trail, Sedona, Sedona City Limit, Arizona, 86336, United States\",34.8537222,-111.7884833,places_27548\n2019-04-25 19:08:31-07:00,2019-04-25 19:08:31-07:00,Sedona Airport View,\"Sedona Airport Overlook, Airport Road, Copper Vista Estates, Sedona, Yavapai County, Arizona, 86336, United States\",34.8535111,-111.7897722,\"Sedona Airport Overlook, Airport Road, Copper Vista Estates, Sedona, Yavapai County, Arizona, 86336, United States\",34.8535111,-111.7897722,places_27549\n2019-04-25 19:08:41-07:00,2019-04-25 19:08:41-07:00,Sedona Airport View,\"Sedona Airport Overlook, Airport Road, Copper Vista Estates, Sedona, Yavapai County, Arizona, 86336, United States\",34.85352780000001,-111.7897861,\"Sedona Airport Overlook, Airport Road, Copper Vista Estates, Sedona, Yavapai County, Arizona, 86336, United States\",34.85352780000001,-111.7897861,places_27550\n2019-04-25 19:08:56-07:00,2019-04-25 19:08:56-07:00,Sedona Airport View,\"Sedona Airport Overlook, Airport Road, Copper Vista Estates, Sedona, Yavapai County, Arizona, 86336, United States\",34.8535167,-111.7897806,\"Sedona Airport Overlook, Airport Road, Copper Vista Estates, Sedona, Yavapai County, Arizona, 86336, United States\",34.8535167,-111.7897806,places_27551\n2019-04-26 10:38:22-07:00,2019-04-26 10:38:22-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8645056,-111.8129417,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8645056,-111.8129417,places_27552\n2019-04-26 10:38:48-07:00,2019-04-26 10:38:48-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8646778,-111.8129417,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8646778,-111.8129417,places_27553\n2019-04-26 10:38:51-07:00,2019-04-26 10:38:51-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8647,-111.8129194,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8647,-111.8129194,places_27554\n2019-04-26 10:39:19-07:00,2019-04-26 10:39:19-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.864625,-111.8128972,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.864625,-111.8128972,places_27555\n2019-04-26 10:39:24-07:00,2019-04-26 10:39:24-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8645028,-111.8129361,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8645028,-111.8129361,places_27556\n2019-04-26 10:39:28-07:00,2019-04-26 10:39:28-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8645028,-111.8129361,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8645028,-111.8129361,places_27557\n2019-04-26 10:39:38-07:00,2019-04-26 10:39:38-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8645056,-111.8129417,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8645056,-111.8129417,places_27558\n2019-04-26 10:39:46-07:00,2019-04-26 10:39:46-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8647083,-111.8129583,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8647083,-111.8129583,places_27559\n2019-04-26 10:39:48-07:00,2019-04-26 10:39:48-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8647083,-111.8129583,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8647083,-111.8129583,places_27560\n2019-04-26 10:42:14-07:00,2019-04-26 10:42:14-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8646694,-111.8129722,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8646694,-111.8129722,places_27561\n2019-04-26 10:43:59-07:00,2019-04-26 10:43:59-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8645028,-111.8129417,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8645028,-111.8129417,places_27562\n2019-04-26 10:44:02-07:00,2019-04-26 10:44:02-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8645056,-111.8129417,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8645056,-111.8129417,places_27563\n2019-04-26 10:44:25-07:00,2019-04-26 10:44:25-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.864675,-111.8129806,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.864675,-111.8129806,places_27564\n2019-04-26 10:44:29-07:00,2019-04-26 10:44:29-07:00,\"\"\"Exploring Sedona, Arizona\"\"\",\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8646806,-111.8129583,\"Casa Sedona Inn, Hozoni Drive, Southwest Center, Sedona, Yavapai County, Arizona, 86336, United States\",34.8646806,-111.8129583,places_27565\n2019-04-26 15:57:32-06:00,2019-04-26 15:57:32-06:00,Exploring Arizona's Western Navajo Agency,\"US 89, Western Navajo Agency, Coconino County, Arizona, United States\",36.5476611,-111.6233278,\"US 89, Western Navajo Agency, Coconino County, Arizona, United States\",36.5476611,-111.6233278,places_27566\n2019-04-26 15:57:35-06:00,2019-04-26 15:57:35-06:00,Exploring Arizona's Western Navajo Agency,\"US 89, Western Navajo Agency, Coconino County, Arizona, United States\",36.5475528,-111.6231472,\"US 89, Western Navajo Agency, Coconino County, Arizona, United States\",36.5475528,-111.6231472,places_27567\n2019-04-26 15:58:00-06:00,2019-04-26 15:58:00-06:00,Exploring Arizona's Western Navajo Agency,\"US 89, Western Navajo Agency, Coconino County, Arizona, United States\",36.5475306,-111.6231222,\"US 89, Western Navajo Agency, Coconino County, Arizona, United States\",36.5475306,-111.6231222,places_27568\n2019-04-26 16:12:26-06:00,2019-04-26 16:12:26-06:00,\"Exploring Bitter Springs, Arizona\",\"US 89, Bitter Springs, Western Navajo Agency, Coconino County, Arizona, United States\",36.6607028,-111.6331472,\"US 89, Bitter Springs, Western Navajo Agency, Coconino County, Arizona, United States\",36.6607028,-111.6331472,places_27569\n2019-04-26 16:12:25-06:00,2019-04-26 16:12:25-06:00,\"Exploring Bitter Springs, Arizona\",\"US 89, Bitter Springs, Western Navajo Agency, Coconino County, Arizona, United States\",36.6607028,-111.6331472,\"US 89, Bitter Springs, Western Navajo Agency, Coconino County, Arizona, United States\",36.6607028,-111.6331472,places_27570\n2019-04-26 16:12:48-06:00,2019-04-26 16:12:48-06:00,\"Exploring Bitter Springs, Arizona\",\"US 89, Bitter Springs, Western Navajo Agency, Coconino County, Arizona, United States\",36.6607472,-111.6335361,\"US 89, Bitter Springs, Western Navajo Agency, Coconino County, Arizona, United States\",36.6607472,-111.6335361,places_27571\n2019-04-26 23:24:16+00:00,2019-04-26 23:24:16+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27572\n2019-04-26 23:24:21+00:00,2019-04-26 23:24:21+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27573\n2019-04-26 23:25:46+00:00,2019-04-26 23:25:46+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27574\n2019-04-26 22:25:50+00:00,2019-04-26 22:25:50+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27575\n2019-04-26 22:25:49+00:00,2019-04-26 22:25:49+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27576\n2019-04-26 22:25:52+00:00,2019-04-26 22:25:52+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27577\n2019-04-26 22:25:51+00:00,2019-04-26 22:25:51+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27578\n2019-04-26 22:30:00+00:00,2019-04-26 22:30:00+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27579\n2019-04-26 22:30:05+00:00,2019-04-26 22:30:05+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27580\n2019-04-26 22:30:08+00:00,2019-04-26 22:30:08+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27581\n2019-04-26 22:32:01+00:00,2019-04-26 22:32:01+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27582\n2019-04-26 22:35:51+00:00,2019-04-26 22:35:51+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27583\n2019-04-26 22:46:16+00:00,2019-04-26 22:46:16+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27584\n2019-04-26 22:46:21+00:00,2019-04-26 22:46:21+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27586\n2019-04-26 22:46:24+00:00,2019-04-26 22:46:24+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27588\n2019-04-26 22:47:48+00:00,2019-04-26 22:47:48+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27590\n2019-04-26 22:48:26+00:00,2019-04-26 22:48:26+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27592\n2019-04-26 23:00:52+00:00,2019-04-26 23:00:52+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27593\n2019-04-26 23:08:14+00:00,2019-04-26 23:08:14+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27594\n2019-04-26 23:09:12+00:00,2019-04-26 23:09:12+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27595\n2019-04-26 23:09:13+00:00,2019-04-26 23:09:13+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27596\n2019-04-26 18:03:53-07:00,2019-04-26 18:03:53-07:00,Exploring Lake Powell Resort,\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9952778,-111.4872667,\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9952778,-111.4872667,places_27598\n2019-04-26 18:04:06-07:00,2019-04-26 18:04:06-07:00,Exploring Lake Powell Resort,\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9951667,-111.4875333,\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9951667,-111.4875333,places_27599\n2019-04-27 08:00:20-07:00,2019-04-27 08:00:20-07:00,Exploring Lake Powell Resort,\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9951528,-111.4876111,\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9951528,-111.4876111,places_27600\n2019-04-27 15:32:17+00:00,2019-04-27 15:32:17+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27604\n2019-04-27 09:03:39-07:00,2019-04-27 09:03:39-07:00,Exploring Lake Powell Resort,\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9949833,-111.48645,\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9949833,-111.48645,places_27605\n2019-04-27 09:38:35-07:00,2019-04-27 09:38:35-07:00,Exploring Lake Powell Resort,\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9966167,-111.4895861,\"Lake Powell Resort, Wahweap Boulevard, Wahweap, Coconino County, Arizona, United States\",36.9966167,-111.4895861,places_27607\n2019-04-27 10:38:44-07:00,2019-04-27 10:38:44-07:00,Exploring Wahweap's Navajo Viewpoint,\"Navajo Viewpoint, Lake Shore Drive, Wahweap, Coconino County, Arizona, United States\",36.9640528,-111.4913028,\"Navajo Viewpoint, Lake Shore Drive, Wahweap, Coconino County, Arizona, United States\",36.9640528,-111.4913028,places_27609\n2019-04-27 15:47:52-06:00,2019-04-27 15:47:52-06:00,\"Exploring Garfield County, Utah\",\"UT-12, Garfield County, Utah, 84764, United States\",37.6828944,-112.1249611,\"UT-12, Garfield County, Utah, 84764, United States\",37.6828944,-112.1249611,places_27610\n2019-04-27 15:48:04-06:00,2019-04-27 15:48:04-06:00,\"Exploring Garfield County, Utah\",\"UT-12, Garfield County, Utah, 84764, United States\",37.6828833,-112.1249861,\"UT-12, Garfield County, Utah, 84764, United States\",37.6828833,-112.1249861,places_27611\n2019-04-27 16:17:22-06:00,2019-04-27 16:17:22-06:00,\"Tropic, Utah\",\"Tropic, Garfield County, Utah, 84776, United States\",37.6216861,-112.1092444,\"Tropic, Garfield County, Utah, 84776, United States\",37.6216861,-112.1092444,places_27612\n2019-04-27 17:37:11-06:00,2019-04-27 17:37:11-06:00,\"\"\"Sunset Point in Utah\"\"\",\"Sunset Point, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6229361,-112.1657472,\"Sunset Point, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6229361,-112.1657472,places_27613\n2019-04-27 17:39:13-06:00,2019-04-27 17:39:13-06:00,Exploring Utah's Navajo Loop Trail,\"Navajo Loop Trailhead, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6231083,-112.1658944,\"Navajo Loop Trailhead, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6231083,-112.1658944,places_27614\n2019-04-27 17:39:16-06:00,2019-04-27 17:39:16-06:00,Exploring Utah's Navajo Loop Trail,\"Navajo Loop Trailhead, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6231083,-112.1658944,\"Navajo Loop Trailhead, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6231083,-112.1658944,places_27615\n2019-04-27 17:39:19-06:00,2019-04-27 17:39:19-06:00,Exploring Utah's Navajo Loop Trail,\"Navajo Loop Trailhead, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6231083,-112.1658944,\"Navajo Loop Trailhead, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6231083,-112.1658944,places_27616\n2019-04-27 17:39:22-06:00,2019-04-27 17:39:22-06:00,Exploring Utah's Navajo Loop Trail,\"Navajo Loop Trailhead, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6231083,-112.1658944,\"Navajo Loop Trailhead, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6231083,-112.1658944,places_27617\n2019-04-27 17:39:31-06:00,2019-04-27 17:39:31-06:00,Exploring Utah's Navajo Loop Trail,\"Navajo Loop Trailhead, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6231083,-112.1658944,\"Navajo Loop Trailhead, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6231083,-112.1658944,places_27618\n2019-04-27 17:39:33-06:00,2019-04-27 17:39:33-06:00,Exploring Utah's Navajo Loop Trail,\"Navajo Loop Trailhead, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6231083,-112.1658944,\"Navajo Loop Trailhead, Navajo Loop - Two Bridges Section, Garfield County, Utah, United States\",37.6231083,-112.1658944,places_27619\n2019-04-27 17:39:41-06:00,2019-04-27 17:39:41-06:00,Exploring Utah's Rim Trail,\"Rim Trail, Garfield County, Utah, United States\",37.623375,-112.1661389,\"Rim Trail, Garfield County, Utah, United States\",37.623375,-112.1661389,places_27620\n2019-04-27 17:39:43-06:00,2019-04-27 17:39:43-06:00,Exploring Utah's Rim Trail,\"Rim Trail, Garfield County, Utah, United States\",37.623375,-112.1661389,\"Rim Trail, Garfield County, Utah, United States\",37.623375,-112.1661389,places_27621\n2019-04-27 17:45:04-06:00,2019-04-27 17:45:04-06:00,Exploring Utah's Rim Trail,\"Rim Trail, Garfield County, Utah, United States\",37.6239861,-112.1665583,\"Rim Trail, Garfield County, Utah, United States\",37.6239861,-112.1665583,places_27622\n2019-04-27 18:00:27-06:00,2019-04-27 18:00:27-06:00,Exploring Utah's Rim Trail,\"Rim Trail, Garfield County, Utah, 84764, United States\",37.6278444,-112.1636722,\"Rim Trail, Garfield County, Utah, 84764, United States\",37.6278444,-112.1636722,places_27623\n2019-04-27 18:05:34-06:00,2019-04-27 18:05:34-06:00,Exploring Utah's Rim Trail,\"Rim Trail, Garfield County, Utah, 84764, United States\",37.6279528,-112.1637944,\"Rim Trail, Garfield County, Utah, 84764, United States\",37.6279528,-112.1637944,places_27624\n2019-04-27 18:14:23-06:00,2019-04-27 18:14:23-06:00,Exploring Utah's Queen's Garden Trail,\"Sunrise Point, Queen's Garden Trail, Garfield County, Utah, United States\",37.6279556,-112.1632083,\"Sunrise Point, Queen's Garden Trail, Garfield County, Utah, United States\",37.6279556,-112.1632083,places_27625\n2019-04-27 18:18:42-06:00,2019-04-27 18:18:42-06:00,Exploring Utah's Queen's Garden Trail,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6278583,-112.1619861,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6278583,-112.1619861,places_27626\n2019-04-27 18:18:47-06:00,2019-04-27 18:18:47-06:00,Exploring Utah's Queen's Garden Trail,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6278583,-112.1619861,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6278583,-112.1619861,places_27627\n2019-04-27 18:18:51-06:00,2019-04-27 18:18:51-06:00,Exploring Utah's Queen's Garden Trail,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6278583,-112.1619861,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6278583,-112.1619861,places_27628\n2019-04-27 18:20:03-06:00,2019-04-27 18:20:03-06:00,Exploring Utah's Queen's Garden Trail,\"Sunrise Point, Queen's Garden Trail, Garfield County, Utah, United States\",37.6283389,-112.1629639,\"Sunrise Point, Queen's Garden Trail, Garfield County, Utah, United States\",37.6283389,-112.1629639,places_27629\n2019-04-27 18:20:12-06:00,2019-04-27 18:20:12-06:00,Exploring Utah's Queen's Garden Trail,\"Sunrise Point, Queen's Garden Trail, Garfield County, Utah, United States\",37.6281611,-112.1627278,\"Sunrise Point, Queen's Garden Trail, Garfield County, Utah, United States\",37.6281611,-112.1627278,places_27630\n2019-04-27 18:27:33-06:00,2019-04-27 18:27:33-06:00,Exploring Utah's Queen's Garden Trail,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6272861,-112.1615222,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6272861,-112.1615222,places_27631\n2019-04-27 18:28:52-06:00,2019-04-27 18:28:52-06:00,Exploring Utah's Queen's Garden Trail,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.627425,-112.1611028,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.627425,-112.1611028,places_27632\n2019-04-27 18:28:57-06:00,2019-04-27 18:28:57-06:00,Exploring Utah's Queen's Garden Trail,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6272417,-112.1609889,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6272417,-112.1609889,places_27633\n2019-04-27 18:28:59-06:00,2019-04-27 18:28:59-06:00,Exploring Utah's Queen's Garden Trail,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6272972,-112.16105,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6272972,-112.16105,places_27634\n2019-04-27 18:34:01-06:00,2019-04-27 18:34:01-06:00,Exploring Utah's Queen's Garden Trail,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.627075,-112.1595611,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.627075,-112.1595611,places_27635\n2019-04-28 01:43:08+00:00,2019-04-28 01:43:08+00:00,from Google Photo,Soul Buoy,0.0,0.0,Soul Buoy,0.0,0.0,places_27636\n2019-04-27 18:43:44-06:00,2019-04-27 18:43:44-06:00,\"Tropic, Utah\",\"Tropic Trail, Tropic, Garfield County, Utah, 84776, United States\",37.6205056,-112.1375417,\"Tropic Trail, Tropic, Garfield County, Utah, 84776, United States\",37.6205056,-112.1375417,places_27637\n2019-04-27 18:43:48-06:00,2019-04-27 18:43:48-06:00,\"Tropic, Utah\",\"Tropic Trail, Tropic, Garfield County, Utah, 84776, United States\",37.6205056,-112.1375417,\"Tropic Trail, Tropic, Garfield County, Utah, 84776, United States\",37.6205056,-112.1375417,places_27638\n2019-04-27 18:50:14-06:00,2019-04-27 18:50:14-06:00,Exploring Utah's Queen's Garden Trail,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6254361,-112.160675,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6254361,-112.160675,places_27639\n2019-04-27 19:13:37-06:00,2019-04-27 19:13:37-06:00,Exploring Utah's Queen's Garden Trail,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6269417,-112.1591556,\"Queen's Garden Trail, Garfield County, Utah, United States\",37.6269417,-112.1591556,places_27640\n2019-04-27 19:34:15-06:00,2019-04-27 19:34:15-06:00,Exploring Utah's Rim Trail,\"Rim Trail, Garfield County, Utah, 84764, United States\",37.6267389,-112.1653222,\"Rim Trail, Garfield County, Utah, 84764, United States\",37.6267389,-112.1653222,places_27641\n2019-04-29 11:49:07-07:00,2019-04-29 11:49:07-07:00,\"\"\"Texas Home on Greg Street\"\"\",\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037453019547755,-101.90859062649028,\"2966, Greg Street, Randall County, Texas, 79015, United States\",35.037453019547755,-101.90859062649028,places_27642\n"
  },
  {
    "path": "sample_data/places.sampled.json",
    "content": "[\n  {\n    \"start_time\":\"2019-04-18 00:01:26+00:00\",\n    \"end_time\":\"2019-04-18 00:01:26+00:00\",\n    \"textDescription\":\"from Google Photo\",\n    \"start_address\":\"Soul Buoy\",\n    \"start_lat\":0.0,\n    \"start_long\":0.0,\n    \"end_address\":\"Soul Buoy\",\n    \"end_lat\":0.0,\n    \"end_long\":0.0,\n    \"id\":\"places_26991\"\n  },\n  {\n    \"start_time\":\"2019-03-31 06:58:44+00:00\",\n    \"end_time\":\"2019-03-31 06:58:44+00:00\",\n    \"textDescription\":\"from Google Photo\",\n    \"start_address\":\"Soul Buoy\",\n    \"start_lat\":0.0,\n    \"start_long\":0.0,\n    \"end_address\":\"Soul Buoy\",\n    \"end_lat\":0.0,\n    \"end_long\":0.0,\n    \"id\":\"places_26992\"\n  },\n  {\n    \"start_time\":\"2019-03-19 00:05:14+00:00\",\n    \"end_time\":\"2019-03-19 00:05:14+00:00\",\n    \"textDescription\":\"from Google Photo\",\n    \"start_address\":\"Soul Buoy\",\n    \"start_lat\":0.0,\n    \"start_long\":0.0,\n    \"end_address\":\"Soul Buoy\",\n    \"end_lat\":0.0,\n    \"end_long\":0.0,\n    \"id\":\"places_26995\"\n  },\n  {\n    \"start_time\":\"2019-04-15 14:58:30+00:00\",\n    \"end_time\":\"2019-04-15 14:58:30+00:00\",\n    \"textDescription\":\"from Google Photo\",\n    \"start_address\":\"Soul Buoy\",\n    \"start_lat\":0.0,\n    \"start_long\":0.0,\n    \"end_address\":\"Soul Buoy\",\n    \"end_lat\":0.0,\n    \"end_long\":0.0,\n    \"id\":\"places_26997\"\n  },\n  {\n    \"start_time\":\"2019-04-25 15:57:11+00:00\",\n    \"end_time\":\"2019-04-25 15:57:11+00:00\",\n    \"textDescription\":\"from Google Photo\",\n    \"start_address\":\"Soul Buoy\",\n    \"start_lat\":0.0,\n    \"start_long\":0.0,\n    \"end_address\":\"Soul Buoy\",\n    \"end_lat\":0.0,\n    \"end_long\":0.0,\n    \"id\":\"places_26998\"\n  },\n  {\n    \"start_time\":\"2019-04-27 17:28:58-07:00\",\n    \"end_time\":\"2019-04-27 17:28:58-07:00\",\n    \"textDescription\":\"Exploring Lamb County, TX\",\n    \"start_address\":\"County Road 307, Lamb County, Texas, 79369, United States\",\n    \"start_lat\":33.8898623345,\n    \"start_long\":-102.1400042634,\n    \"end_address\":\"County Road 307, Lamb County, Texas, 79369, United States\",\n    \"end_lat\":33.8898623345,\n    \"end_long\":-102.1400042634,\n    \"id\":\"places_27028\"\n  },\n  {\n    \"start_time\":\"2019-03-03 07:41:47-08:00\",\n    \"end_time\":\"2019-03-03 07:41:47-08:00\",\n    \"textDescription\":\"\\\"Texas Home on Greg Street\\\"\",\n    \"start_address\":\"2966, Greg Street, Randall County, Texas, 79015, United States\",\n    \"start_lat\":35.0374333973,\n    \"start_long\":-101.9085506521,\n    \"end_address\":\"2966, Greg Street, Randall County, Texas, 79015, United States\",\n    \"end_lat\":35.0374333973,\n    \"end_long\":-101.9085506521,\n    \"id\":\"places_27172\"\n  },\n  {\n    \"start_time\":\"2019-03-03 07:42:11-08:00\",\n    \"end_time\":\"2019-03-03 07:42:11-08:00\",\n    \"textDescription\":\"\\\"Texas Home on Greg Street\\\"\",\n    \"start_address\":\"2968, Greg Street, Randall County, Texas, 79015, United States\",\n    \"start_lat\":35.0375514743,\n    \"start_long\":-101.9086043234,\n    \"end_address\":\"2968, Greg Street, Randall County, Texas, 79015, United States\",\n    \"end_lat\":35.0375514743,\n    \"end_long\":-101.9086043234,\n    \"id\":\"places_27173\"\n  },\n  {\n    \"start_time\":\"2019-03-03 07:42:35-08:00\",\n    \"end_time\":\"2019-03-03 07:42:35-08:00\",\n    \"textDescription\":\"\\\"Texas Home on Greg Street\\\"\",\n    \"start_address\":\"2966, Greg Street, Randall County, Texas, 79015, United States\",\n    \"start_lat\":35.0374333973,\n    \"start_long\":-101.9085506521,\n    \"end_address\":\"2966, Greg Street, Randall County, Texas, 79015, United States\",\n    \"end_lat\":35.0374333973,\n    \"end_long\":-101.9085506521,\n    \"id\":\"places_27174\"\n  },\n  {\n    \"start_time\":\"2019-03-05 18:13:01-08:00\",\n    \"end_time\":\"2019-03-05 18:13:01-08:00\",\n    \"textDescription\":\"\\\"Throwbacks Sports Bar: Amarillo's Best!\\\"\",\n    \"start_address\":\"Throwbacks Sports Bar, 7150, Bell Street, Amarillo, Randall County, Texas, 79109, United States\",\n    \"start_lat\":35.1326356176,\n    \"start_long\":-101.9023999167,\n    \"end_address\":\"Throwbacks Sports Bar, 7150, Bell Street, Amarillo, Randall County, Texas, 79109, United States\",\n    \"end_lat\":35.1326356176,\n    \"end_long\":-101.9023999167,\n    \"id\":\"places_27175\"\n  },\n  {\n    \"start_time\":\"2019-03-05 18:13:04-08:00\",\n    \"end_time\":\"2019-03-05 18:13:04-08:00\",\n    \"textDescription\":\"\\\"Throwbacks Sports Bar: Amarillo's Best!\\\"\",\n    \"start_address\":\"Throwbacks Sports Bar, 7150, Bell Street, Amarillo, Randall County, Texas, 79109, United States\",\n    \"start_lat\":35.1326356176,\n    \"start_long\":-101.9023999167,\n    \"end_address\":\"Throwbacks Sports Bar, 7150, Bell Street, Amarillo, Randall County, Texas, 79109, United States\",\n    \"end_lat\":35.1326356176,\n    \"end_long\":-101.9023999167,\n    \"id\":\"places_27176\"\n  },\n  {\n    \"start_time\":\"2019-03-05 19:31:46-08:00\",\n    \"end_time\":\"2019-03-05 19:31:46-08:00\",\n    \"textDescription\":\"Biking in Randall County, Texas\",\n    \"start_address\":\"Bikepark, Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",\n    \"start_lat\":35.0178862958,\n    \"start_long\":-101.9170199893,\n    \"end_address\":\"Bikepark, Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",\n    \"end_lat\":35.0178862958,\n    \"end_long\":-101.9170199893,\n    \"id\":\"places_27177\"\n  },\n  {\n    \"start_time\":\"2019-03-05 19:31:47-08:00\",\n    \"end_time\":\"2019-03-05 19:31:47-08:00\",\n    \"textDescription\":\"Biking in Randall County, Texas\",\n    \"start_address\":\"Bikepark, Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",\n    \"start_lat\":35.0180365756,\n    \"start_long\":-101.9167838354,\n    \"end_address\":\"Bikepark, Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",\n    \"end_lat\":35.0180365756,\n    \"end_long\":-101.9167838354,\n    \"id\":\"places_27178\"\n  },\n  {\n    \"start_time\":\"2019-03-05 19:36:00-08:00\",\n    \"end_time\":\"2019-03-05 19:36:00-08:00\",\n    \"textDescription\":\"Biking in Randall County, Texas\",\n    \"start_address\":\"Bikepark, Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",\n    \"start_lat\":35.0179184986,\n    \"start_long\":-101.9167301641,\n    \"end_address\":\"Bikepark, Marshall Formby Memorial Highway, Canyon, Randall County, Texas, 79015, United States\",\n    \"end_lat\":35.0179184986,\n    \"end_long\":-101.9167301641,\n    \"id\":\"places_27179\"\n  },\n  {\n    \"start_time\":\"2019-03-06 19:46:40-08:00\",\n    \"end_time\":\"2019-03-06 19:46:40-08:00\",\n    \"textDescription\":\"\\\"Texas Home on Greg Street\\\"\",\n    \"start_address\":\"2964, Greg Street, Randall County, Texas, 79015, United States\",\n    \"start_lat\":35.0372938518,\n    \"start_long\":-101.9086901976,\n    \"end_address\":\"2964, Greg Street, Randall County, Texas, 79015, United States\",\n    \"end_lat\":35.0372938518,\n    \"end_long\":-101.9086901976,\n    \"id\":\"places_27180\"\n  },\n  {\n    \"start_time\":\"2019-03-07 19:17:33-08:00\",\n    \"end_time\":\"2019-03-07 19:17:33-08:00\",\n    \"textDescription\":\"Amarillo, Texas\",\n    \"start_address\":\"W Loop 335 S, Amarillo, Randall County, Texas, 79119, United States\",\n    \"start_lat\":35.1285565959,\n    \"start_long\":-101.9569729337,\n    \"end_address\":\"W Loop 335 S, Amarillo, Randall County, Texas, 79119, United States\",\n    \"end_lat\":35.1285565959,\n    \"end_long\":-101.9569729337,\n    \"id\":\"places_27181\"\n  },\n  {\n    \"start_time\":\"2019-03-10 17:42:28-07:00\",\n    \"end_time\":\"2019-03-10 17:42:28-07:00\",\n    \"textDescription\":\"Randall County, Texas\",\n    \"start_address\":\"Claude Highway, Randall County, Texas, 79118, United States\",\n    \"start_lat\":35.0882494206,\n    \"start_long\":-101.77606832,\n    \"end_address\":\"Claude Highway, Randall County, Texas, 79118, United States\",\n    \"end_lat\":35.0882494206,\n    \"end_long\":-101.77606832,\n    \"id\":\"places_27182\"\n  },\n  {\n    \"start_time\":\"2019-03-10 17:42:30-07:00\",\n    \"end_time\":\"2019-03-10 17:42:30-07:00\",\n    \"textDescription\":\"Randall County, Texas\",\n    \"start_address\":\"Claude Highway, Randall County, Texas, 79118, United States\",\n    \"start_lat\":35.0883889661,\n    \"start_long\":-101.7759287746,\n    \"end_address\":\"Claude Highway, Randall County, Texas, 79118, United States\",\n    \"end_lat\":35.0883889661,\n    \"end_long\":-101.7759287746,\n    \"id\":\"places_27183\"\n  },\n  {\n    \"start_time\":\"2019-03-10 17:42:31-07:00\",\n    \"end_time\":\"2019-03-10 17:42:31-07:00\",\n    \"textDescription\":\"Randall County, Texas\",\n    \"start_address\":\"Claude Highway, Randall County, Texas, 79118, United States\",\n    \"start_lat\":35.0883782318,\n    \"start_long\":-101.776025383,\n    \"end_address\":\"Claude Highway, Randall County, Texas, 79118, United States\",\n    \"end_lat\":35.0883782318,\n    \"end_long\":-101.776025383,\n    \"id\":\"places_27184\"\n  },\n  {\n    \"start_time\":\"2019-03-10 17:42:32-07:00\",\n    \"end_time\":\"2019-03-10 17:42:32-07:00\",\n    \"textDescription\":\"Randall County, Texas\",\n    \"start_address\":\"Claude Highway, Randall County, Texas, 79118, United States\",\n    \"start_lat\":35.0883782318,\n    \"start_long\":-101.776025383,\n    \"end_address\":\"Claude Highway, Randall County, Texas, 79118, United States\",\n    \"end_lat\":35.0883782318,\n    \"end_long\":-101.776025383,\n    \"id\":\"places_27185\"\n  },\n  {\n    \"start_time\":\"2019-03-10 17:46:32-07:00\",\n    \"end_time\":\"2019-03-10 17:46:32-07:00\",\n    \"textDescription\":\"Randall County, Texas\",\n    \"start_address\":\"Claude Highway, Randall County, Texas, 79118, United States\",\n    \"start_lat\":35.0879488611,\n    \"start_long\":-101.7765406278,\n    \"end_address\":\"Claude Highway, Randall County, Texas, 79118, United States\",\n    \"end_lat\":35.0879488611,\n    \"end_long\":-101.7765406278,\n    \"id\":\"places_27186\"\n  },\n  {\n    \"start_time\":\"2019-03-10 17:46:34-07:00\",\n    \"end_time\":\"2019-03-10 17:46:34-07:00\",\n    \"textDescription\":\"Randall County, Texas\",\n    \"start_address\":\"Claude Highway, Randall County, Texas, 79118, United States\",\n    \"start_lat\":35.0880669381,\n    \"start_long\":-101.7765942992,\n    \"end_address\":\"Claude Highway, Randall County, Texas, 79118, United States\",\n    \"end_lat\":35.0880669381,\n    \"end_long\":-101.7765942992,\n    \"id\":\"places_27187\"\n  },\n  {\n    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    "content": ",Unnamed: 0,start_time,end_time,artist,track,playtimeMs,spotify_link,id\n0,0,2019-03-30T11:34:59.982000,2019-03-30T11:35:00,Lex Fridman Podcast,\"#282 – David Buss: Sex, Dating, Relationships, and Sex Differences\",18000,,streaming_0\n1,1,2019-03-30T12:24:57.597980,2019-03-30T12:25:00,Lex Fridman Podcast,\"#282 – David Buss: Sex, Dating, Relationships, and Sex Differences\",2402020,,streaming_1\n2,2,2019-04-01T18:55:58.781460,2019-04-01T18:56:00,Lex Fridman Podcast,\"#282 – David Buss: Sex, Dating, Relationships, and Sex Differences\",1218540,,streaming_2\n3,3,2019-04-05T14:03:56.228030,2019-04-05T14:04:00,Lex Fridman Podcast,\"#282 – David Buss: Sex, Dating, Relationships, and Sex Differences\",3771970,,streaming_3\n4,4,2019-04-05T18:14:59.195242,2019-04-05T18:15:00,Lex Fridman Podcast,\"#282 – David Buss: Sex, Dating, Relationships, and Sex Differences\",804758,,streaming_4\n5,5,2019-04-05T19:38:59.996703,2019-04-05T19:39:00,Lex Fridman Podcast,\"#282 – David Buss: 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Bitcoin, Anarchy, and Austrian Economics\",9322,,streaming_11\n12,12,2019-04-17T15:32:54.334971,2019-04-17T15:33:00,Lex Fridman Podcast,\"#284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics\",5665029,,streaming_12\n13,13,2019-04-19T04:16:53.888978,2019-04-19T04:17:00,Lex Fridman Podcast,\"#284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics\",6111022,,streaming_13\n14,14,2019-04-19T16:50:59.718676,2019-04-19T16:51:00,Lex Fridman Podcast,\"#284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics\",281324,,streaming_14\n15,15,2019-04-19T19:18:58.126081,2019-04-19T19:19:00,Lex Fridman Podcast,\"#284 – Saifedean Ammous: Bitcoin, Anarchy, and Austrian Economics\",1873919,,streaming_15\n16,16,2019-04-20T01:34:52.331822,2019-04-20T01:35:00,Lex Fridman Podcast,\"#285 – Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture\",7668178,,streaming_16\n17,17,2019-04-22T15:16:54.972476,2019-04-22T15:17:00,Lex Fridman Podcast,\"#285 – Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture\",5027524,,streaming_17\n18,18,2019-04-22T16:12:59.995290,2019-04-22T16:13:00,Lex Fridman Podcast,#286 – Oliver Stone: Vladimir Putin and War in Ukraine,4710,,streaming_18\n19,19,2019-03-02T22:21:59.881629,2019-03-02T22:22:00,Doris Casella,Estelle,118371,https://open.spotify.com/track/2XPxkVgxyj4QVaW78kS5vb,streaming_19\n20,20,2019-03-02T22:23:59.868349,2019-03-02T22:24:00,Isshi Matsuriza,Shizukana,131651,https://open.spotify.com/track/63oFS9JTsvadCXUqwqA7p0,streaming_20\n21,21,2019-03-02T22:26:59.854020,2019-03-02T22:27:00,Tom Kristiaan,Un sourire et une larme (valse),145980,https://open.spotify.com/track/7Ll3Avq4RewMYNeCyi7KsD,streaming_21\n22,22,2019-03-02T22:28:59.863576,2019-03-02T22:29:00,Gunnel Boek,Hommage d'amitié,136424,https://open.spotify.com/track/5DezuV0RFcMcgA11UGdGBR,streaming_22\n23,23,2019-03-02T22:31:59.847108,2019-03-02T22:32:00,Helmut Schenker,Alba,152892,https://open.spotify.com/track/5eEYSPaVwg4Fe1KCMYunQf,streaming_23\n24,24,2019-03-02T22:32:59.887473,2019-03-02T22:33:00,William Cas,Hour of Rest,112527,https://open.spotify.com/track/0sCPbmOcdRcTWVDjHh22id,streaming_24\n25,25,2019-03-02T22:37:59.815451,2019-03-02T22:38:00,Johannes Bornlöf,As I Dream,184549,https://open.spotify.com/track/3y3GMygxjeZ8VQDfEoyKh7,streaming_25\n26,26,2019-03-02T22:40:59.815890,2019-03-02T22:41:00,Kalen Elmsley,Spheroidal,184110,https://open.spotify.com/track/00PnFrg2QQzPqkeuxGxcz9,streaming_26\n27,27,2019-03-02T22:43:59.843090,2019-03-02T22:44:00,Nel Swerts,Un Cadeau,156910,https://open.spotify.com/track/4MOdTvGopWOYi146z6EnGW,streaming_27\n28,28,2019-03-02T22:45:59.871498,2019-03-02T22:46:00,Astrid Sky,A Beautiful Break,128502,https://open.spotify.com/track/4xwUUKpKf52tIHZRyyUFKw,streaming_28\n29,29,2019-03-02T22:47:59.876560,2019-03-02T22:48:00,Emanuel Fremont,Saying 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Nova,Compass,139985,https://open.spotify.com/track/7uN2L2nq8gfUBOUfHtSkQX,streaming_35\n36,36,2019-03-02T23:06:59.851351,2019-03-02T23:07:00,Alva Brunel,When it drizzles,148649,https://open.spotify.com/track/5YB0FJ63K0g5ZXw0BN4HXF,streaming_36\n37,37,2019-03-02T23:08:59.867234,2019-03-02T23:09:00,Cinthya Garcia,Dear Buddy,132766,https://open.spotify.com/track/4XhZgQHy6yNEB5M3NhZXAG,streaming_37\n38,38,2019-03-02T23:11:59.820243,2019-03-02T23:12:00,Jane Avril,Although,179757,https://open.spotify.com/track/695BxK7VbbK6M4CRvtR5Sn,streaming_38\n39,39,2019-03-02T23:13:59.873081,2019-03-02T23:14:00,Alain Pironi,La Paix Intérieure,126919,https://open.spotify.com/track/7e9rtvEfKg3QkMkZrZtTnW,streaming_39\n40,40,2019-03-02T23:15:59.880230,2019-03-02T23:16:00,Andreas Monta,Mind Like Water,119770,https://open.spotify.com/track/4fcdZ4bM6DgVGOs9y13KIk,streaming_40\n41,41,2019-03-02T23:17:59.854515,2019-03-02T23:18:00,Anna Landström,To the Rain,145485,https://open.spotify.com/track/025aQi6Ffw676y8m4zLPk7,streaming_41\n42,42,2019-03-02T23:21:59.853158,2019-03-02T23:22:00,Carluccio,Adesso,146842,https://open.spotify.com/track/0t0X7v3Qcq7wMviNjWaWDO,streaming_42\n43,43,2019-03-02T23:24:59.828395,2019-03-02T23:25:00,Olivia Belli,Prélude,171605,https://open.spotify.com/track/7dOjUz9bTwzuZkoaiqDoxm,streaming_43\n44,44,2019-03-02T23:27:59.827341,2019-03-02T23:28:00,Ploxxio,Aufgang der Sonne,172659,https://open.spotify.com/track/4iCLo3ZjF6V1RW4Wz18KMz,streaming_44\n45,45,2019-03-02T23:29:59.861406,2019-03-02T23:30:00,Lemos,The New Life,138594,https://open.spotify.com/track/4zCJ4p6S8n6P0vgijJBWHk,streaming_45\n46,46,2019-03-02T23:32:59.851563,2019-03-02T23:33:00,Les Rêveries,Coulant,148437,https://open.spotify.com/track/445KHitEvap0tspDZ3C78V,streaming_46\n47,47,2019-03-02T23:35:59.894345,2019-03-02T23:36:00,praam,our paths crossing,105655,https://open.spotify.com/track/570NQJSaUxTdYZT8lGwxgZ,streaming_47\n48,48,2019-03-02T23:38:59.857403,2019-03-02T23:39:00,Tamara Eden,Horizon,142597,https://open.spotify.com/track/1nQ2WCJTn89CnirpfDHV60,streaming_48\n49,49,2019-03-02T23:40:59.860806,2019-03-02T23:41:00,Naia Lambert,Ruhevoll,139194,https://open.spotify.com/track/3a29LVdJdkqOBNDFnbbqJN,streaming_49\n50,50,2019-03-02T23:42:59.850029,2019-03-02T23:43:00,Kellen Chase,Meditabundus,149971,https://open.spotify.com/track/5e5tJl04Fp74oHxpsrC7Tk,streaming_50\n51,51,2019-03-02T23:46:59.799320,2019-03-02T23:47:00,antinode,vierde moment,200680,https://open.spotify.com/track/1IqWZERE8ZOVtgE3fmekFv,streaming_51\n52,52,2019-03-03T19:21:58.176027,2019-03-03T19:22:00,Lex Fridman Podcast,#286 – Oliver Stone: Vladimir Putin and War in Ukraine,1823973,,streaming_52\n53,53,2019-03-03T22:19:55.579920,2019-03-03T22:20:00,Lex Fridman Podcast,#286 – Oliver Stone: Vladimir Putin and War in Ukraine,4420080,,streaming_53\n54,54,2019-03-03T22:20:59.997132,2019-03-03T22:21:00,Lex Fridman Podcast,\"#285 – Glenn Loury: Race, Racism, Identity Politics, and Cancel Culture\",2868,,streaming_54\n55,55,2019-03-03T22:29:59.510656,2019-03-03T22:30:00,Lex Fridman Podcast,#286 – Oliver Stone: Vladimir Putin and War in Ukraine,489344,,streaming_55\n56,56,2019-03-07T02:30:54.715913,2019-03-07T02:31:00,Lex Fridman Podcast,#299 – Demis Hassabis: DeepMind,5284087,,streaming_56\n57,57,2019-03-07T14:55:57.454255,2019-03-07T14:56:00,Lex Fridman Podcast,#299 – Demis Hassabis: DeepMind,2545745,,streaming_57\n58,58,2019-03-07T15:52:56.634213,2019-03-07T15:53:00,Lex Fridman Podcast,\"#300 – Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom\",3365787,,streaming_58\n59,59,2019-03-07T20:25:58.992032,2019-03-07T20:26:00,Lex Fridman Podcast,\"#300 – Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom\",1007968,,streaming_59\n60,60,2019-03-10T16:36:58.526016,2019-03-10T16:37:00,Lex Fridman Podcast,\"#300 – Joe Rogan: Comedy, Controversy, Aliens, UFOs, Putin, CIA, and Freedom\",1473984,,streaming_60\n61,61,2019-03-17T15:39:59.999882,2019-03-17T15:40:00,Exit Scam,Part V: The Old Friend,118,,streaming_61\n62,62,2019-03-17T15:39:58.337319,2019-03-17T15:40:00,הכותרת,נפילת השמאל הציוני,1662681,,streaming_62\n63,63,2019-03-23T22:30:59.998840,2019-03-23T22:31:00,Exit Scam,Part V: The Old Friend,1160,,streaming_63\n64,64,2019-03-23T22:57:59.020807,2019-03-23T22:58:00,Lex Fridman Podcast,#295 – Richard Wolff: Marxism and Communism,979193,,streaming_64\n65,65,2019-03-24T02:53:59.999370,2019-03-24T02:54:00,Lex Fridman Podcast,#295 – Richard Wolff: Marxism and Communism,630,,streaming_65\n66,66,2019-03-24T03:47:57.137380,2019-03-24T03:48:00,Lex Fridman Podcast,#301 – Jack Barsky: KGB Spy,2862620,,streaming_66\n67,67,2019-03-24T21:03:57.085293,2019-03-24T21:04:00,Lex Fridman Podcast,#301 – Jack Barsky: KGB Spy,2914707,,streaming_67\n68,68,2019-03-28T15:13:55.193621,2019-03-28T15:14:00,Lex Fridman Podcast,#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence,4806379,,streaming_68\n69,69,2019-03-29T01:18:58.907601,2019-03-29T01:19:00,Lex Fridman Podcast,#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence,1092399,,streaming_69\n70,70,2019-03-29T17:12:58.377812,2019-03-29T17:13:00,Lex Fridman Podcast,#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence,1622188,,streaming_70\n71,71,2019-03-29T20:00:59.729921,2019-03-29T20:01:00,Lex Fridman Podcast,#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence,270079,,streaming_71\n72,72,2019-03-30T00:26:59.587893,2019-03-30T00:27:00,Lex Fridman Podcast,#207 – Chris Duffin: The Mad Scientist of Strength,412107,,streaming_72\n73,73,2019-03-30T23:57:59.994590,2019-03-30T23:58:00,Lex Fridman Podcast,#207 – Chris Duffin: The Mad Scientist of Strength,5410,,streaming_73\n74,74,2019-03-30T00:51:56.797826,2019-03-30T00:52:00,Lex Fridman Podcast,#298 – Susan Cain: The Power of Introverts and Loneliness,3202174,,streaming_74\n75,75,2019-04-01T20:15:56.262083,2019-04-01T20:16:00,Lex Fridman Podcast,#298 – Susan Cain: The Power of Introverts and Loneliness,3737917,,streaming_75\n76,76,2019-04-02T03:02:59.791198,2019-04-02T03:03:00,Lex Fridman Podcast,#298 – Susan Cain: The Power of Introverts and Loneliness,208802,,streaming_76\n77,77,2019-04-02T14:24:59.994295,2019-04-02T14:25:00,Lex Fridman Podcast,#299 – Demis Hassabis: DeepMind,5705,,streaming_77\n78,78,2019-04-05T18:00:59.997247,2019-04-05T18:01:00,Lex Fridman Podcast,\"#277 – Andrew Huberman: Focus, Stress, Relationships, and Friendship\",2753,,streaming_78\n79,79,2019-04-05T18:00:59.999478,2019-04-05T18:01:00,Lex Fridman Podcast,#299 – Demis Hassabis: DeepMind,522,,streaming_79\n80,80,2019-04-05T19:50:56.902858,2019-04-05T19:51:00,Lex Fridman Podcast,\"#277 – Andrew Huberman: Focus, Stress, Relationships, and Friendship\",3097142,,streaming_80\n81,81,2019-04-05T23:46:55.538729,2019-04-05T23:47:00,Lex Fridman Podcast,\"#277 – Andrew Huberman: Focus, Stress, Relationships, and Friendship\",4461271,,streaming_81\n82,82,2019-04-08T06:01:57.093682,2019-04-08T06:02:00,Lex Fridman Podcast,\" #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets\",2906318,https://open.spotify.com/track/4uUA3g2Evr8jziBnCZlUl0,streaming_82\n83,83,2019-04-08T19:39:57.271936,2019-04-08T19:40:00,Lex Fridman Podcast,\" #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets\",2728064,https://open.spotify.com/track/4uUA3g2Evr8jziBnCZlUl0,streaming_83\n84,84,2019-04-08T21:50:58.395412,2019-04-08T21:51:00,Lex Fridman Podcast,\" #309 – John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets\",1604588,https://open.spotify.com/track/4uUA3g2Evr8jziBnCZlUl0,streaming_84\n85,85,2019-04-09T17:42:59.791494,2019-04-09T17:43:00,Olivia Newton-John,Xanadu,208506,https://open.spotify.com/track/67tNgYlYbsIs2klWOJwhr5,streaming_85\n86,86,2019-04-09T17:46:59.773902,2019-04-09T17:47:00,Olivia Newton-John,Carried Away - Alternate Mix / Remastered 2021,226098,https://open.spotify.com/track/45o0VxsPoYt2IAJ25irnGS,streaming_86\n87,87,2019-04-09T17:50:59.774008,2019-04-09T17:51:00,Olivia Newton-John,Physical - Remastered 2021,225992,https://open.spotify.com/track/737CBNAqpmgN5qWQJncfcD,streaming_87\n88,88,2019-04-09T17:54:59.743864,2019-04-09T17:55:00,Olivia Newton-John,Shaking You - Remastered 2021,256136,https://open.spotify.com/track/1eoLWTfOJz4UXC7wDvqjOd,streaming_88\n89,89,2019-04-09T17:58:59.779667,2019-04-09T17:59:00,Olivia Newton-John,\"I Love You, I Honestly Love You\",220333,https://open.spotify.com/track/0cM3OFAPxAshOOy7MT90Yc,streaming_89\n90,90,2019-04-09T18:02:59.774126,2019-04-09T18:03:00,Olivia Newton-John,Carried Away - Remastered 2021,225874,https://open.spotify.com/track/7sUJAP8vQAFyZZ8AJkcE5Z,streaming_90\n91,91,2019-04-09T18:05:59.786467,2019-04-09T18:06:00,Olivia Newton-John,Have You Never Been Mellow,213533,https://open.spotify.com/track/668lXk61ZcAUdXIcya9Ehe,streaming_91\n92,92,2019-04-09T18:12:59.598201,2019-04-09T18:13:00,Olivia Newton-John,Livin' In Desperate Times - Extended Version / Remastered 2021,401799,https://open.spotify.com/track/4WXNWhGUorBmNbnRIIA7eO,streaming_92\n93,93,2019-04-10T03:44:59.830160,2019-04-10T03:45:00,John Travolta,You're The One That I Want - From “Grease”,169840,,streaming_93\n94,94,2019-04-10T03:47:59.831134,2019-04-10T03:48:00,David Gates,Goodbye Girl,168866,https://open.spotify.com/track/16rFIDV8h9TRbweNH0GSBX,streaming_94\n95,95,2019-04-10T03:50:59.821534,2019-04-10T03:51:00,Michael Johnson,Two 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    "content": ",Unnamed: 0,start_time,end_time,textDescription,country,states_provinces,cities_towns,places,id\n0,0,2019-03-27 11:42:43+09:00,2019-03-28 06:38:09+09:00,\"You have been to South Korea, Seoul, Seocho-gu, Jung-gu, Gwanak-gu, Yeongdeungpo-gu, and Unseo-dong. You have visited the Incheon International Airport Terminal 1, Seoul National University Gwanak Campus, Bangbae-ro, and Yangpyeong-ro 28da-gil.\",I visited South Korea.,\"I visited Incheon, Seoul, and Yangpyeong.\",\"I visited Incheon International Airport Terminal 1, Seoul National University Gwanak Campus, and Yangpyeong-ro 28da-gil.\",\"I visited Bangbae-ro, Bangbae 4(sa)-dong, Gonghang-ro, Unseo-dong, Gwanak-ro, Daehak-dong, Yangpyeong-dong 6-ga, and Yangpyeong 2(i)-dong.\",trips_0\n1,1,2019-03-28 20:38:13+09:00,2019-03-30 14:15:37+09:00,\"Japan: Tokyo (Minato, Bunkyo, Meguro, Sanmu, Chiba Prefecture), Roppongi Hills, Tokyo Prince Hotel, Asahi Shokudo, University of Tokyo (Hongo Campus), 中里橋, Roppongi Hills Mori Tower, 191L, Grand Hyatt Tokyo.\",I visited Japan.,\"I visited Tokyo, Sanmu, and Chiba Prefecture.\",\"I visited Shibakoen, Moto-Azabu, Roppongi Hills, Shibadaimon, Minami-Azabu, Hongo, Naka-Meguro, Narita, and Keyaki-zaka.\",\"I visited Tokyo Prince Hotel, Asahi Shokudo, University of Tokyo, 中里橋, Roppongi Hills Mori Tower, 191L, Grand Hyatt Tokyo, and Shiba Junior High School & Senior High School.\",trips_1\n2,2,2019-03-31 10:51:04+08:00,2019-04-01 18:54:00+08:00,\"Taiwan: Taipei (City Hall Rd., Dongmen Village, Huashan, Longtsakoo, Xingya, Xinyi Commercial Zone, Zhongzheng District, Zhongxiao East Road Section 2), Xinyi District (Chezeng, Liuhe Village, Sanli Village, Xinglong Village), Jinshan North Road.\n\nPlaces: Liberty Square, Democracy Boulevard, Dongmen Village, Chiang Kai-shek Memorial Hall, Cama Cafe, Xiangshan Tunnel, Six Boulders Photographing Platform, Sun Yat-sen Memorial Hall, Bigtom美國冰淇淋咖啡館, 101塔樓1號攝影平台, 楠楠相望, 象山自然步道, 象山親山步道永春亭線, 象山親山步道主線(稜線), 梅花\",I visited Taiwan.,I visited Taipei.,\"I visited Longtsakoo, Huashan, Xinyi District, Xingya, and Chezeng.\",\"I visited Liberty Square, Democracy Boulevard, Dongmen Village, Jinshan North Road, KuanHua Market, Meihua Village, Sanzhangli Branch Line Trail, Xinglong Village, 梅花球場, 象山親山步道永春亭線, 四獸山步道意象拍照座椅, 南側樓梯出口, Chiang Kai-shek Memorial Hall, cama cafe, Taipei City Hall, Xiangshan Tunnel, Six Boulders Photographing Platform, 中正紀念堂銅像大廳, Eslite XinYi Store, 象山看台北, 101塔樓2號攝影平\",trips_2\n3,3,2019-04-14 19:19:06-07:00,2019-04-19 11:42:16-07:00,\"You have been to Canada, British Columbia, Vancouver, Gastown, Downtown, Canada Place, Seawall, Jack Poole Plaza, West Waterfront Road, West Cordova Street, Fairmont Pacific Rim, and Shaw Tower.\",I visited Canada.,I visited British Columbia.,I visited Vancouver.,\"I visited Canada Place, Waterfront Nails & Waxing, 2010 Olympic Cauldron, Vancouver Convention Centre West, Fairmont Pacific Rim, Bellaggio Café & Gelateria, and Shaw Tower.\",trips_3\n4,4,2019-04-24 18:32:53-07:00,2019-04-27 16:17:22-06:00,\"You have been to the United States (Arizona and Utah), Coconino County and Yavapai County in Arizona, Sedona City Limit in Arizona, Grand Canyon Village, Bitter Springs, Western Navajo Agency, Wahweap, Oak Creek Dev No. 1, Southwest Center, Garfield County in Utah, and Tropic in Garfield County in Utah. You have visited places such as Mather Point Amphitheatre, Airport Mesa Viewpoint, Lake Powell Resort, Sedona View Trail, Sedona Airport Overlook, AZ 89A, Brewer Trail, Navajo Viewpoint, Mather Point, Airport Loop Trail, Rim Trail, US 89, Casa Sedona Inn, UT-12, Yavapai East 7451-7483, Yavapai Geology Museum, Yavapai Point, 1.5 Mile Resthouse, Grand Canyon, Sedona Airport, 2 Emblem Place, and Crusty.\",I visited the United States.,I visited Arizona and Utah.,\"I visited Bitter Springs, Grand Canyon Village, Sedona, Wahweap, Oak Creek Dev No. 1, Southwest Center, Copper Vista Estates, and Tropic.\",\"I visited Mather Point Amphitheatre, Airport Mesa Viewpoint, Lake Powell Resort, Sedona View Trail, Sedona Airport Overlook, AZ 89A, Brewer Trail, Navajo Viewpoint, Mather Point, Airport Loop Trail, Rim Trail, US 89, Casa Sedona Inn, UT-12, Yavapai East 7451-7483, Yavapai Geology Museum, Yavapai Point, 1.5 Mile Resthouse, Grand Canyon, Sedona Airport, 2 Emblem Place, and Crusty.\",trips_4\n5,5,2019-04-27 17:37:11-06:00,2019-04-27 19:34:15-06:00,\"You have been to the United States in the states of Utah and Arizona. You have visited the cities/towns of Tropic, Utah and the places Navajo Loop Trailhead, Sunset Point, Sunrise Point, Rim Trail, and Queen's Garden Trail.\",I visited the United States.,I visited Utah.,I visited Tropic and Garfield County.,\"I visited Navajo Loop Trailhead, Sunset Point, Sunrise Point, Rim Trail, and Queen's Garden Trail.\",trips_5\n"
  },
  {
    "path": "sample_data/trips.sampled.json",
    "content": "[\n  {\n    \"Unnamed: 0\":0,\n    \"start_time\":\"2019-03-27 11:42:43+09:00\",\n    \"end_time\":\"2019-03-28 06:38:09+09:00\",\n    \"textDescription\":\"You have been to South Korea, Seoul, Seocho-gu, Jung-gu, Gwanak-gu, Yeongdeungpo-gu, and Unseo-dong. You have visited the Incheon International Airport Terminal 1, Seoul National University Gwanak Campus, Bangbae-ro, and Yangpyeong-ro 28da-gil.\",\n    \"country\":\"I visited South Korea.\",\n    \"states_provinces\":\"I visited Incheon, Seoul, and Yangpyeong.\",\n    \"cities_towns\":\"I visited Incheon International Airport Terminal 1, Seoul National University Gwanak Campus, and Yangpyeong-ro 28da-gil.\",\n    \"places\":\"I visited Bangbae-ro, Bangbae 4(sa)-dong, Gonghang-ro, Unseo-dong, Gwanak-ro, Daehak-dong, Yangpyeong-dong 6-ga, and Yangpyeong 2(i)-dong.\",\n    \"id\":\"trips_0\"\n  },\n  {\n    \"Unnamed: 0\":1,\n    \"start_time\":\"2019-03-28 20:38:13+09:00\",\n    \"end_time\":\"2019-03-30 14:15:37+09:00\",\n    \"textDescription\":\"Japan: Tokyo (Minato, Bunkyo, Meguro, Sanmu, Chiba Prefecture), Roppongi Hills, Tokyo Prince Hotel, Asahi Shokudo, University of Tokyo (Hongo Campus), \\u4e2d\\u91cc\\u6a4b, Roppongi Hills Mori Tower, 191L, Grand Hyatt Tokyo.\",\n    \"country\":\"I visited Japan.\",\n    \"states_provinces\":\"I visited Tokyo, Sanmu, and Chiba Prefecture.\",\n    \"cities_towns\":\"I visited Shibakoen, Moto-Azabu, Roppongi Hills, Shibadaimon, Minami-Azabu, Hongo, Naka-Meguro, Narita, and Keyaki-zaka.\",\n    \"places\":\"I visited Tokyo Prince Hotel, Asahi Shokudo, University of Tokyo, \\u4e2d\\u91cc\\u6a4b, Roppongi Hills Mori Tower, 191L, Grand Hyatt Tokyo, and Shiba Junior High School & Senior High School.\",\n    \"id\":\"trips_1\"\n  },\n  {\n    \"Unnamed: 0\":2,\n    \"start_time\":\"2019-03-31 10:51:04+08:00\",\n    \"end_time\":\"2019-04-01 18:54:00+08:00\",\n    \"textDescription\":\"Taiwan: Taipei (City Hall Rd., Dongmen Village, Huashan, Longtsakoo, Xingya, Xinyi Commercial Zone, Zhongzheng District, Zhongxiao East Road Section 2), Xinyi District (Chezeng, Liuhe Village, Sanli Village, Xinglong Village), Jinshan North Road.\\n\\nPlaces: Liberty Square, Democracy Boulevard, Dongmen Village, Chiang Kai-shek Memorial Hall, Cama Cafe, Xiangshan Tunnel, Six Boulders Photographing Platform, Sun Yat-sen Memorial Hall, Bigtom\\u7f8e\\u570b\\u51b0\\u6dc7\\u6dcb\\u5496\\u5561\\u9928, 101\\u5854\\u6a131\\u865f\\u651d\\u5f71\\u5e73\\u53f0, \\u6960\\u6960\\u76f8\\u671b, \\u8c61\\u5c71\\u81ea\\u7136\\u6b65\\u9053, \\u8c61\\u5c71\\u89aa\\u5c71\\u6b65\\u9053\\u6c38\\u6625\\u4ead\\u7dda, \\u8c61\\u5c71\\u89aa\\u5c71\\u6b65\\u9053\\u4e3b\\u7dda(\\u7a1c\\u7dda), \\u6885\\u82b1\",\n    \"country\":\"I visited Taiwan.\",\n    \"states_provinces\":\"I visited Taipei.\",\n    \"cities_towns\":\"I visited Longtsakoo, Huashan, Xinyi District, Xingya, and Chezeng.\",\n    \"places\":\"I visited Liberty Square, Democracy Boulevard, Dongmen Village, Jinshan North Road, KuanHua Market, Meihua Village, Sanzhangli Branch Line Trail, Xinglong Village, \\u6885\\u82b1\\u7403\\u5834, \\u8c61\\u5c71\\u89aa\\u5c71\\u6b65\\u9053\\u6c38\\u6625\\u4ead\\u7dda, \\u56db\\u7378\\u5c71\\u6b65\\u9053\\u610f\\u8c61\\u62cd\\u7167\\u5ea7\\u6905, \\u5357\\u5074\\u6a13\\u68af\\u51fa\\u53e3, Chiang Kai-shek Memorial Hall, cama cafe, Taipei City Hall, Xiangshan Tunnel, Six Boulders Photographing Platform, \\u4e2d\\u6b63\\u7d00\\u5ff5\\u5802\\u9285\\u50cf\\u5927\\u5ef3, Eslite XinYi Store, \\u8c61\\u5c71\\u770b\\u53f0\\u5317, 101\\u5854\\u6a132\\u865f\\u651d\\u5f71\\u5e73\",\n    \"id\":\"trips_2\"\n  },\n  {\n    \"Unnamed: 0\":3,\n    \"start_time\":\"2019-04-14 19:19:06-07:00\",\n    \"end_time\":\"2019-04-19 11:42:16-07:00\",\n    \"textDescription\":\"You have been to Canada, British Columbia, Vancouver, Gastown, Downtown, Canada Place, Seawall, Jack Poole Plaza, West Waterfront Road, West Cordova Street, Fairmont Pacific Rim, and Shaw Tower.\",\n    \"country\":\"I visited Canada.\",\n    \"states_provinces\":\"I visited British Columbia.\",\n    \"cities_towns\":\"I visited Vancouver.\",\n    \"places\":\"I visited Canada Place, Waterfront Nails & Waxing, 2010 Olympic Cauldron, Vancouver Convention Centre West, Fairmont Pacific Rim, Bellaggio Caf\\u00e9 & Gelateria, and Shaw Tower.\",\n    \"id\":\"trips_3\"\n  },\n  {\n    \"Unnamed: 0\":4,\n    \"start_time\":\"2019-04-24 18:32:53-07:00\",\n    \"end_time\":\"2019-04-27 16:17:22-06:00\",\n    \"textDescription\":\"You have been to the United States (Arizona and Utah), Coconino County and Yavapai County in Arizona, Sedona City Limit in Arizona, Grand Canyon Village, Bitter Springs, Western Navajo Agency, Wahweap, Oak Creek Dev No. 1, Southwest Center, Garfield County in Utah, and Tropic in Garfield County in Utah. You have visited places such as Mather Point Amphitheatre, Airport Mesa Viewpoint, Lake Powell Resort, Sedona View Trail, Sedona Airport Overlook, AZ 89A, Brewer Trail, Navajo Viewpoint, Mather Point, Airport Loop Trail, Rim Trail, US 89, Casa Sedona Inn, UT-12, Yavapai East 7451-7483, Yavapai Geology Museum, Yavapai Point, 1.5 Mile Resthouse, Grand Canyon, Sedona Airport, 2 Emblem Place, and Crusty.\",\n    \"country\":\"I visited the United States.\",\n    \"states_provinces\":\"I visited Arizona and Utah.\",\n    \"cities_towns\":\"I visited Bitter Springs, Grand Canyon Village, Sedona, Wahweap, Oak Creek Dev No. 1, Southwest Center, Copper Vista Estates, and Tropic.\",\n    \"places\":\"I visited Mather Point Amphitheatre, Airport Mesa Viewpoint, Lake Powell Resort, Sedona View Trail, Sedona Airport Overlook, AZ 89A, Brewer Trail, Navajo Viewpoint, Mather Point, Airport Loop Trail, Rim Trail, US 89, Casa Sedona Inn, UT-12, Yavapai East 7451-7483, Yavapai Geology Museum, Yavapai Point, 1.5 Mile Resthouse, Grand Canyon, Sedona Airport, 2 Emblem Place, and Crusty.\",\n    \"id\":\"trips_4\"\n  },\n  {\n    \"Unnamed: 0\":5,\n    \"start_time\":\"2019-04-27 17:37:11-06:00\",\n    \"end_time\":\"2019-04-27 19:34:15-06:00\",\n    \"textDescription\":\"You have been to the United States in the states of Utah and Arizona. You have visited the cities\\/towns of Tropic, Utah and the places Navajo Loop Trailhead, Sunset Point, Sunrise Point, Rim Trail, and Queen's Garden Trail.\",\n    \"country\":\"I visited the United States.\",\n    \"states_provinces\":\"I visited Utah.\",\n    \"cities_towns\":\"I visited Tropic and Garfield County.\",\n    \"places\":\"I visited Navajo Loop Trailhead, Sunset Point, Sunrise Point, Rim Trail, and Queen's Garden Trail.\",\n    \"id\":\"trips_5\"\n  }\n]"
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  {
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-0.008339028805494308, -0.015268644317984581, -0.036617111414670944, 0.02632286585867405, 0.006988340988755226, -0.018115106970071793, -0.019939051941037178, -0.013140706345438957, 0.010757139883935452, -0.0016304977471008897, -0.03194670006632805, 0.03432336077094078, -0.02445746585726738, 0.005247300956398249, 0.01691295951604843, -0.015489728190004826, -0.0021676637697964907, -0.02612941712141037, -0.008739744313061237, -0.0036997098941355944, -0.013741780072450638, -0.04830694943666458]\"\n"
  },
  {
    "path": "sample_data/views_metadata.txt",
    "content": "#This file contains meta data about views. \n#name: The name of the view, \n#description: a text description of what the view contains, \n#schema: the schema, \n#example queries: examples of questions that may be posed against this view\n#additional_context: additional special instructions to pass to codex\n#foreign key: optionally foreign keys if available, \n#<attribute_name>: and a description of each attribute. \n\nname: books\ndescription: records the books I read and when. It also records the url to the image of each book.\nschema: (book_name,img_url,id,data,time)\nexample queries: Did I read Leonardo Da Vinci before? How many books did I read in April 2020? What books did I read in May 2021? When did I read A Thousand Brains?\nadditional_context: \nforeign key: -\nid: TEXT // key\ndate: DATETYPE // date the book was read\ntime: DATETYPE // time the book was read\nbook_name: TEXT // the title of the book\nimg_url: TEXT // url to the image of the book read\n\nname: exercise \ndescription: records start and end time, the duration of each exercise activity, the distance covered, calories burnt, whether the activity took place outdoor and the temperature\nschema: (textDescription,duration,distance,calories,outdoor,temperature,id,start_date,start_time,end_date,end_time)\nexample queries: How many miles did I run in June 2020? How long did I exercise last month?  How many calories did I burn last year?  What was the average temperature during my exercises last week? How many times did I exercise more than 1 hour in the past week? \nadditional_context: The temperature column describes the temperature in \"X degF\". E.g., 50 degF. The textDescription column describes \"run\" or \"jog\" as \"running\".\nforeign key: -\nid: TEXT // key\nstart_date: DATETYPE // the start date of the exercise event\nstart_time: DATETYPE // the start time of the exercise event\nend_date: DATETYPE // the end date of the exercise event\nend_time: DATETYPE // the end time of the exercise event\ntextDescription: TEXT // the type of exercise e.g., running, weight lifting\nduration: REAL // length of exercise in minutes (should be end_time-start_time) e.g., 51 minutes\ndistance: REAL// distance covered during runs. e.g., 5.95 miles\ncalories: REAL // the calories burnt during exercise\noutdoor: INTEGER // 0 or 1 value. 0 means false, 1 means true\ntemperature: TEXT // the temperature recorded during exercise. E.g., 50 degF\n\n\nname: photos\ndescription: records the photos taken at a location and time. It also contains a description of the photo and the address, image url if available. \nschema: (textDescription,address,lat,long,details,img_url,id,start_date,start_time,end_date,end_time)\nexample queries: Show me all my photos taken in Paris, France. Find all my pictures with Wendy. When was my last photo with Peter?\nadditional_context: the details contains a description of all the objects in the photo and tags. \nforeign key: - \nid: TEXT // key\ntextDescription: TEXT // a description of the photo\naddress: TEXT // address where the photo was taken\nlat: FLOAT // latitude of the location where the photo was taken\nlong: FLOAT // longtitude of the location where the photo was taken\ndetails: TEXT // lists the objects, tags, places in the photo\nimg_url: TEXT // link to the image\nstart_date: DATETYPE // date the photo was taken\nstart_time: DATETYPE // time the photo was taken\nend_date: DATETYPE // date the photo was taken\nend_time: DATETYPE // time the photo was taken\n\nname: places\ndescription: records all the places I have been to. It records the begin and end time of the trip, the name of the place/destination and the addresses of the starting and destination location, including the latitude, longtitude coordinates \nschema: (textDescription,start_address,start_lat,start_long,end_address,end_lat,end_long,id,start_date,start_time,end_date,end_time)\nexample queries: When did I last visit Sonoma County? How long was the drive from my hotel in Bali to Badung? How many places did I visit while I was in Singapore? \nadditional_context: The start_address and end_address columns contain information about the street name, county, region, country, and zip code.\nforeign key: -\nstart_date: DATETYPE // begin date of travel\nend_date: DATETYPE // end date of travel\nstart_time: DATETYPE // begin time of the travel to another place\nend_time: DATETYPE // end time of the travel to another place\ntextDescription: TEXT // source where information is extracted from\nstart_address: TEXT // the name of the place where the travel begins \nstart_lat: REAL // latitude of the place where the travel beings\nstart_long: REAL // longitude of the place where the travel begins\nend_address: TEXT // the name of the destination where the travel ends\nend_lat: REAL // latitude of the destination where the travel ends\nend_long: REAL // longitude of the destination where the travel ends\n\nname: purchase\ndescription: records the purchases I made \nschema: (purchase_id,productName,productPrice,productQuantity,id,date,time)\nexample queries: When did I last purchase my printer toner? How much did I spend in May 2022? When was the last two times I purchase toothpaste?\nadditional_context:  \nforeign key: -\nid: TEXT // key\npurchase_id: TEXT // id of the purchase \ndate: DATETYPE // the date of the purchase\ntime: DATETYPE // the time of the purchase\npurchase_id: TEXT // the purchase identifier number. Primary key\nproductName: TEXT // the name of the product that was purchased\nproductPrice: REAL // the price of the products\nproductQuantity: REAL // the amount charged\n\nname: streaming\ndescription: records the music and podcasts I streamed\nschema: (artist,track,playtimeMs,spotify_link,id,start_date,start_time,end_date,end_time)\nexample queries: Which artist did I listen most to in July 2022? How often did I listen to podcasts in 2022? Who is the top artist that I listened to?\nadditional_context: the artist column contains the word \"Podcast\" if it is a podcast. Otherwise, it is likely music.\nforeign key: -\nid: TEXT // key \nstart_date: DATETYPE // date the streaming began\nstart_time: DATETYPE // time the streaming began\nend_date: DATETYPE // date the streaming ended\nend_time: DATETYPE // time the streaming ended\nartist: TEXT // name of the artist/musician/speaker of the music or podcast that was streamed\ntrack: TEXT // the title of the track streamed\nplaytimeMs: INTEGER // the amount of time streamed in milliseconds\nspotify_link: TEXT // link to spotify track if available\n\nname: trips\ndescription: records the trips I made\nschema: (textDescription,country,states_provinces,cities_towns,places,id,start_date,start_time,end_date,end_time)\nexample queries: When did I visit Portland State University? How many times did I visit Israel in 2021? How long was I in Seattle in my January 2014 trip?\nadditional_context:  \nforeign key: -\nid: TEXT // key\nstart_date: DATETYPE // date the trip started\nstart_time: DATETYPE // time the trip started\nend_date: DATETYPE // date the trip ended\nend_time: DATETYPE // time the trip ended\ntextDescription: TEXT // description of the destination I visited\ncountry: TEXT // the country of the place I visited\nstates_provinces: TEXT // the state/province of the place I visited\ncities_towns: TEXT // the city/town of the place I visited\nplaces: TEXT // the places I visited\n"
  },
  {
    "path": "src/__init__.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\n"
  },
  {
    "path": "src/common/__init__.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\n"
  },
  {
    "path": "src/common/bootstrap/data_source.json",
    "content": "[\n  {\n    \"id\": 1,\n    \"source_name\": \"AppleHealth\",\n    \"entry_type\": \"health\",\n    \"configs\": {\n      \"input_directory\": \"personal-data/apple-health\",\n      \"filetype\": \"xml\",\n      \"filetype_configs\": {},\n      \"dedup_key\": [\"source\", \"startTime\"]\n    },\n    \"field_mappings\": [\n      {\n        \"src\": \"outdoor\",\n        \"target\": \"outdoor\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\",\n        \"default_value\": \"False\"\n      },\n      {\n        \"src\": \"workoutActivityType\",\n        \"target\": \"activity\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      },\n      {\n        \"target\": \"type_count\",\n        \"src_type\": \"str\",\n        \"target_type\": \"dict\",\n        \"functions\": [\"type_count['$activity']+1\"]\n      },\n      {\n        \"src\": \"startDate\",\n        \"target\": \"startTime\",\n        \"src_type\": \"str\",\n        \"target_type\": \"datetime\"\n      },\n      {\n        \"src\": \"endDate\",\n        \"target\": \"endTime\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      },\n      {\n        \"src\": \"duration\",\n        \"target\": \"duration\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      },\n      {\n        \"src\": \"totalDistance\",\n        \"target\": \"totalDistance\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      },\n      {\n        \"src\": \"totalEnergyBurned\",\n        \"target\": \"totalEnergyBurned\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      }\n    ]\n  },\n  {\n    \"id\": 2,\n    \"source_name\": \"Amazon\",\n    \"entry_type\": \"purchase\",\n    \"configs\": {\n      \"input_directory\": \"personal-data/amazon\",\n      \"filetype\": \"csv\",\n      \"filetype_configs\": {\n        \"skiprows\": 0\n      },\n      \"dedup_key\": [\"source\",\"purchase_id\",\"productName\"]\n    },\n    \"field_mappings\": [\n      {\n        \"src\": \"Order Date\",\n        \"target\": \"startTime\",\n        \"src_type\": \"datetime\",\n        \"target_type\": \"datetime\"\n      },\n      {\n        \"src\": \"Order ID\",\n        \"target\": \"purchase_id\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      },\n      {\n        \"src\": \"Title\",\n        \"target\": \"productName\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      },\n      {\n        \"src\": \"Purchase Price Per Unit\",\n        \"target\": \"productPrice\",\n        \"src_type\": \"str\",\n        \"target_type\": \"number\"\n      },\n      {\n        \"src\": \"Quantity\",\n        \"target\": \"productQuantity\",\n        \"src_type\": \"str\",\n        \"target_type\": \"number\"\n      },\n      {\n        \"src\": \"ASIN/ISBN\",\n        \"target\": \"productId\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      }\n    ]\n  },\n  {\n    \"id\": 3,\n    \"source_name\": \"AmazonKindle\",\n    \"entry_type\": \"purchase\",\n    \"configs\": {\n      \"input_directory\": \"personal-data/amazon-kindle\",\n      \"filetype\": \"csv\",\n      \"filetype_configs\": {\n        \"skiprows\": 0\n      },\n      \"dedup_key\": [\"source\", \"startTime\",\"productName\"]\n    },\n    \"field_mappings\": [\n      {\n        \"src\": \"OrderDate\",\n        \"target\": \"startTime\",\n        \"src_type\": \"datetime\",\n        \"target_type\": \"datetime\"\n      },\n      {\n        \"src\": \"Title\",\n        \"target\": \"productName\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      },\n      {\n        \"src\": \"OurPrice\",\n        \"target\": \"productPrice\",\n        \"src_type\": \"str\",\n        \"target_type\": \"number\"\n      },\n      {\n        \"src\": \"OurPriceCurrencyCode\",\n        \"target\": \"currency\",\n        \"src_type\": \"str\",\n        \"target_type\": \"number\"\n      },\n      {\n        \"src\": \"ASIN\",\n        \"target\": \"productId\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      }\n    ]\n  },\n  {\n    \"id\": 4,\n    \"source_name\": \"Spotify\",\n    \"entry_type\": \"streaming\",\n    \"configs\": {\n      \"input_directory\": \"personal-data/spotify\",\n      \"filename_regex\": \"StreamingHistory\",\n      \"filetype\": \"json\",\n      \"dedup_key\": [\"source\", \"track\", \"endTime\"]\n    },\n    \"field_mappings\": [\n      {\n        \"src\": \"artistName\",\n        \"target\": \"artist\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      },\n      {\n        \"src\": \"trackName\",\n        \"target\": \"track\",\n        \"src_type\": \"str\",\n        \"target_type\": \"number\"\n      },\n      {\n        \"src\": \"endTime\",\n        \"target\": \"endTime\",\n        \"src_type\": \"str\",\n        \"target_type\": \"datetime\"\n      },\n      {\n        \"src\": \"msPlayed\",\n        \"target\": \"playtimeMs\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      },\n      {\n        \"target\": \"startTime\",\n        \"target_type\": \"datetime\",\n        \"functions\": [\n          \"eval: (datetime.fromisoformat(\\\"$endTime\\\") - timedelta(milliseconds=$playtimeMs/1000)).isoformat()\"\n        ]\n      }\n    ]\n  },\n  {\n    \"id\": 5,\n    \"source_name\": \"Venmo\",\n    \"entry_type\": \"purchase\",\n    \"configs\": {\n      \"input_directory\": \"personal-data/venmo\",\n      \"filetype\": \"csv\",\n      \"filetype_configs\": {\n        \"skiprows\": 2\n      },\n      \"dedup_key\": [\"source\",\"purchase_id\"]\n    },\n    \"field_mappings\": [\n      {\n        \"src\": \"Datetime\",\n        \"target\": \"startTime\",\n        \"src_type\": \"datetime\",\n        \"target_type\": \"datetime\"\n      },\n      {\n        \"src\": \"ID\",\n        \"target\": \"purchase_id\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      },\n      {\n        \"src\": \"Note\",\n        \"target\": \"productName\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      },\n      {\n        \"src\": \"Amount (total)\",\n        \"target\": \"productPrice\",\n        \"src_type\": \"str\",\n        \"target_type\": \"number\"\n      }\n    ]\n  },\n  {\n    \"id\": 6,\n    \"source_name\": \"Libby\",\n    \"entry_type\": \"purchase\",\n    \"configs\": {\n      \"input_directory\": \"personal-data/libby\",\n      \"filetype\": \"csv\",\n      \"filetype_configs\": {\n        \"skiprows\": 0\n      },\n      \"dedup_key\": [\"source\",\"startTime\",\"productName\"]\n    },\n    \"field_mappings\": [\n      {\n        \"src\": \"timestamp\",\n        \"target\": \"startTime\",\n        \"src_type\": \"datetime\",\n        \"target_type\": \"datetime\"\n      },\n      {\n        \"src\": \"title\",\n        \"target\": \"productName\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      },\n      {\n        \"src\": \"author\",\n        \"target\": \"author\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      },\n      {\n        \"src\": \"cover\",\n        \"target\": \"imageURL\",\n        \"src_type\": \"str\",\n        \"target_type\": \"str\"\n      }\n    ]\n  },\n  {\n    \"id\": 7,\n    \"source_name\": \"GoogleTimeline\",\n    \"entry_type\": \"base:visit\",\n    \"configs\": {\n      \"input_directory\": \"personal-data/google-timeline/Location History/Semantic Location History\",\n      \"filetype\": \"json\",\n      \"filetype_configs\": {},\n      \"dedup_key\": [\n        \"source\",\n        \"startTime\",\n        \"type\"\n      ]\n    }\n  },\n  {\n    \"id\": 8,\n    \"source_name\": \"GooglePhotos\",\n    \"entry_type\": \"photo\",\n    \"configs\": {\n      \"input_directory\": \"personal-data/google_photos\",\n      \"filetype\": \"jpg,JPEG,PNG,HEIC\",\n      \"filetype_configs\": {},\n      \"dedup_key\": [\n        \"source\",\n        \"startTime\",\n        \"imageFileName\"\n      ]\n    }\n  },\n  {\n    \"id\": 9,\n    \"source_name\": \"FacebookPosts\",\n    \"entry_type\": \"photo\",\n    \"configs\": {\n      \"input_directory\": \"personal-data/facebook\",\n      \"filetype\": \"json\",\n      \"filetype_configs\": {},\n      \"dedup_key\": [\n        \"source\",\n        \"startTime\",\n        \"imageFileName\"\n      ]\n    }\n  }\n]\n"
  },
  {
    "path": "src/common/generate_persona.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport numpy as np\n\n#Need real databases in place of the ones below\n\nHOBBIES_DB = [\"fishing\", \"boating\", \"cooking\"]\nEXERCISE_DB = [\"running\", \"swimming\", \"weight lifting\", \"golf\", \"soccer\"]\nMALE_NAMES_DB = [\"Lambert\", \"Nathan\", \"Alon\"]\nFEMALE_NAMES_DB = [\"Marieh\", \"Jane\", \"Wang-Chiew\"]\n\n# generate a name for the college the person went to TODO\ndef generate_college(p):\n    return (\"University of Washington\")\n\n# generate a name for the graduate school  the person went to TODO\ndef generate_graduate_school(p):\n    return (\"University of Wisconsin\")\n\n# generate a major for the college the person went to TODO\ndef generate_college_major(p):\n    return (\"Philosophy\")\n\n# generate a major for the graduate school the person went to TODO\ndef generate_graduate_school_major(p):\n    return (\"Astrophysics\")\n\n#draw a value from a probability distribution\ndef flip(values, probs):\n    return (np.random.choice(values, 1, p=probs))[0]\n\ndef generate_persona():\n\n    persona = {}\n#Determine date of birth and age\n    persona[\"age_years\"] = np.random.randint(low=18, high=75, size=None)\n    persona[\"birth_year\"] = 2022 - persona[\"age_years\"]\n    persona[\"birth_month\"] = np.random.randint(low=1, high=12, size=None)\n    persona[\"birth_day\"] = np.random.randint(low=0, high=28, size=None)\n\n#Determine gender\n    gender = np.random.randint(low=0, high=51, size=None)\n    if gender == 0:\n        persona[\"gender\"] = \"female\"\n    else:\n        persona[\"gender\"] = \"male\"\n\n\n#Graduating from K, elementary school, middle school, high school, college,\n# You graduate from K at either age 5 or 6, take either 5 or 6 years in elementary school, 3 years in middle school and 3-5 years in high school.\n\n    values = [5,6]\n    probs = [0.5,  0.5]\n\n    persona[\"k_graduation\"] =  flip([5,6], [0.5,  0.5]) + persona[\"birth_year\"]\n\n    persona[\"e_graduation\"] = persona[\"k_graduation\"] + flip([5,6,7], [0.1, 0.8, 0.1])\n    persona[\"m_graduation\"] = persona[\"e_graduation\"] + 3\n    persona[\"h_graduation\"] = persona[\"m_graduation\"] + flip([3,4,5], [0.1, 0.8, 0.1])\n\n#College, yes or no\n    persona[\"college\"] = flip([1,0], [0.5,  0.5])\n    if persona[\"college\"] == 1:\n        persona[\"college_graduation\"] = persona[\"h_graduation\"] + flip([3,4,5], [0.1, 0.8, 0.1])\n        persona[\"college_location\"] = generate_college(persona)\n        persona[\"college_major\"] = generate_college_major(persona)\n        persona[\"graduate_school\"] = flip([1,0], [0.2,  0.8])\n        if persona[\"graduate_school\"] == 1:\n            persona[\"graduate_school_graduation\"] = persona[\"college_graduation\"] + flip([3,4,5,6,7], [0.2, 0.2, 0.4, 0.1, 0.1])\n            persona[\"graduate_school_location\"] = generate_graduate_school(persona)\n            persona[\"graduate_school_major\"] = generate_graduate_school_major(persona)\n\n# Marriages.\n# First generate the number of marriages, and then insert the appropriate years. The probability of number of marriages depends a bit on age.\n\n\n\n    marriage_probs = [0.3, 0.4, 0.2, 0.07, 0.03]\n    if  persona[\"age_years\"] < 40:\n        marriage_probs = [0.3, 0.4, 0.2, 0.1, 0.0]\n    if  persona[\"age_years\"] < 25:\n         marriage_probs = [0.8, 0.2, 0.0, 0.0, 0.0]\n\n    num_marriages = flip([0,1,2,3,4], marriage_probs)\n    persona[\"num_marriages\"] = num_marriages\n    first_marriage_age = np.random.randint(low=20, high=35, size=None)\n    current_age = first_marriage_age\n    persona[\"married\"] = []\n    persona[\"divorced\"] = []\n    for marriage in range(0, num_marriages):\n        if marriage in range(1,  num_marriages):\n            persona[\"divorced\"].append(current_age + length)\n            current_age = current_age + length + time_till_next\n            \n        persona[\"married\"].append(current_age)\n        length = np.random.randint(low=2, high=15, size=None)\n        time_till_next = np.random.randint(low=2, high=7, size=None)\n# Can't plan for the future. If your age is less than what it takes you to complete your marriages and divorces, we don't let you do it.\n\n        if current_age + length + time_till_next > persona[\"age_years\"]:\n            break\n#children\n    kids_probs = [0.2, 0.2, 0.2, 0.2, 0.2]\n    if  persona[\"age_years\"] < 30:\n        kids_probs = [0.3, 0.3, 0.3, 0.1, 0.0]\n    if  persona[\"age_years\"] < 25:\n        kids_probs = [0.7, 0.3, 0.0, 0.0, 0.0]\n    num_kids = flip([0,1,2,3,4], kids_probs)\n    persona[\"num_kids\"] = num_kids\n    time_between_kids_probs = [0.25, 0.20, 0.15, 0.20, 0.1, 0.1]\n    age_at_first_kid = np.random.randint(low=20, high=30, size=None)\n    persona[\"kids\"] = []\n    if age_at_first_kid > persona[\"age_years\"]:\n        age_at_first_kid = persona[\"age_years\"]\n    curr_age = age_at_first_kid\n    for kid in range(num_kids):\n        persona[\"kids\"].append(curr_age)\n        curr_age = curr_age + flip([1,2,3,4,5,6], time_between_kids_probs)\n        if curr_age > persona[\"age_years\"]:\n            break\n        \n\n#jobs\n    jobs_probs = [0.2, 0.4, 0.2, 0.1, 0.1]\n    if  persona[\"age_years\"] < 40:\n        jobs_probs = [0.05, 0.3, 0.3, 0.2, 0.15]\n    if  persona[\"age_years\"] < 25:\n        jobs_probs = [0.4, 0.3, 0.2, 0.1, 0.0]\n\n    num_jobs = flip([0,1,2,3,4], jobs_probs)\n    persona[\"num_jobs\"] = num_jobs\n    first_job_age = np.random.randint(low=20, high=25, size=None)\n    current_age = first_job_age\n    persona[\"started_job\"] = []\n    persona[\"quit_job\"] = []\n    for job in range(0, num_jobs):\n\n        if job in range(1,  num_jobs):\n            persona[\"quit_job\"].append(current_age + length)\n            current_age = current_age + length + time_till_next\n            \n        persona[\"started_job\"].append(current_age)\n        length = np.random.randint(low=2, high=15, size=None)\n        time_till_next = np.random.randint(low=0, high=2, size=None)\n# Can't plan for the future. If your age is less than what it takes you to complete your job transitions, we don't let you do it.\n        if current_age + length + time_till_next > persona[\"age_years\"]:\n            break\n# exercise, hobbies, verboseness, travel\n\n    # This is the number of trips the person takes per year. It includes local, regional and international trips\n    persona[\"trips_per_year\"] = np.random.randint(low=0, high=6, size=None)\n\n    # This is the expected number of daily or weekly events that the person is likely to record in their DB. \n    persona[\"verboseness\"] = np.random.randint(low=0, high=20, size=None)\n\n#name people \n\n        \n    return (persona)\n\n\nprint (generate_persona())\n"
  },
  {
    "path": "src/common/geo_helper.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport pickle\n\nimport pytz\n\nfrom geopy.geocoders import Nominatim\nfrom geopy.extra.rate_limiter import RateLimiter\n\nfrom geopy.location import Location\n\nfrom src.common.persistence.key_value_db import CacheDBConnector\n\nORIGIN_TIMEZONE = str(pytz.utc)\n\nglobal reverse_geolocator\nglobal geolocator\n\nreverse_geolocator = Nominatim(user_agent=\"pim_photo_import\")\ngeolocator = Nominatim(user_agent=\"pim_photo_ui\")\n\nreverse = RateLimiter(reverse_geolocator.reverse, min_delay_seconds=1)\ngeocode = RateLimiter(geolocator.geocode, min_delay_seconds=1)\n\nclass GeoHelper:\n    geo_reverse_cache = {}\n    geo_cache = {}\n\n    def __init__(self):\n        self.cache_db = CacheDBConnector()\n        self.reverse_cache_hits=0\n        self.reverse_cache_miss=0\n        self.cache_hits = 0\n        self.cache_miss = 0\n\n    def cache_key(self, address:str):\n        return address\n\n    def reverse_cache_key(self, latitude:float, longitude:float):\n        return str(latitude)+\",\"+str(longitude)\n\n    def calculateLocation(self, latitude: float, longitude: float, language:str='en') -> Location:\n        if latitude is None or longitude is None:\n            return None\n        reverse_cache_key = self.reverse_cache_key(latitude, longitude)\n        if reverse_cache_key in GeoHelper.geo_reverse_cache.keys():\n            cached_loc = GeoHelper.geo_reverse_cache[reverse_cache_key]\n            #print(reverse_cache_key, \" found in location cache. Returning \", str(cached_loc))\n            self.reverse_cache_hits+=1\n            return cached_loc\n        location = reverse(str(latitude) + \",\" + str(longitude), addressdetails=True, language=language)\n        # location = reverse((50.6539239, -120.3385242), language='en', exactly_one=True)\n        #print(\"Location:: \", str(location))\n        GeoHelper.geo_reverse_cache[reverse_cache_key] = location\n        self.reverse_cache_miss += 1\n        return location\n\n    def geocode(self, address:str, language:str=\"en\") -> str:\n        if address is None or address==\"\":\n            return None\n        cache_key = self.cache_key(address)\n        cached_loc = self.cache_db.get(cache_key, \"geo_cache\")\n        if cached_loc is not None:\n            cached_loc_unpickled = pickle.loads(cached_loc[0])\n            # print(cache_key, \" found in location cache. Returning \", cached_loc_unpickled)\n            self.cache_hits += 1\n            return cached_loc_unpickled\n        else:\n            # print(cache_key, \" not found in location cache\")\n            # Fetch value\n            location:Location = geocode(address, language=language)\n            # Make entry into cache\n            pickled_object = pickle.dumps(location)\n            self.cache_db.put(cache_key, pickled_object, \"geo_cache\")\n            self.cache_miss += 1\n            return location\n\n# gh = GeoHelper()\n# print(gh.geocode(\"Bangalore, India\"))\n# print(gh.geocode(\"Bangalore, India\"))"
  },
  {
    "path": "src/common/objects/EntryTypes.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport json\nfrom enum import Enum\n\nclass EntryType(str, Enum):\n    PHOTO: str=\"photo\"\n    PURCHASE: str=\"purchase\"\n    HEALTH: str=\"health\"\n    VISIT: str=\"visit\"\n    STREAMING: str=\"streaming\"\n    DAY: str=\"day\"\n    TRIP: str=\"trip\"\n    ACTIVITY: str=\"activity\"\n\n    def toJson(self):\n        return json.dumps(self.__dict__.values())"
  },
  {
    "path": "src/common/objects/LLEntry_obj.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport json\n\nfrom typing import List, Dict, Tuple\nfrom geopy import Location\n\nclass LLEntry:\n    def __init__(self, type: str, startTime, source: str):\n        self.type = type\n        self.source = source\n\n        # TIME: as experienced by the user (i.e., what timezone they're in)\n        self.startTime = startTime\n        self.endTime = self.startTime\n        self.timezone = \"\"\n\n        # LOCATION start and end. If there's only one, it's the start\n\n        # NEW: use geopy to standardize geolocations\n        # NEW: contains the ordered list of start/end locations, or the list of locations in a trip\n        self.locations: List[Location] = []\n        self.lat_lon: List[Tuple] = []\n\n        # Purchase\n        self.purchase_id = \"\"\n        self.productId = None\n        self.productName = \"\"\n        self.productPrice = \"\"\n        self.currency = \"\"\n        self.productQuantity = \"\"\n        self.author = \"\"\n\n        # Music\n        self.artist = \"\"\n        self.track = \"\"\n        self.playtimeMs = 0\n        self.track_count = {}\n\n        # TEXT of entry (often generated programmatically from source data)\n        self.textDescription = \"\"\n\n        # Searchable tags\n        self.tags: List[str] = []\n\n        # IMAGE data\n        # NEW: store a list of image paths\n        self.image_paths: List[str] = []\n\n        self.imageURL = \"\"\n        self.imageTimestamp = 0\n        self.imageFileName = \"\"\n        self.imageFilePath = \"\"\n        self.imageCaptions = \"\"\n        self.captionEmbedding = \"\"\n        self.imageEmbedding = \"\"\n        self.imageViews = \"\"\n        self.peopleInImage = []\n        self.imageWidth = \"\"\n        self.imageHeight = \"\"\n\n        # Data for quantified entries\n        self.duration = 0\n        self.distance = 0\n        self.calories = 0\n        self.outdoor = 1\n        self.temperature = \"\"\n\n        # BOOKKEEPING extra info for convenience\n        self.startTimeOfDay = \"00:00:00\"\n        self.endTimeOfDay = \"00:00:00\"\n        self.recordedStartTime = startTime\n\n    def printObj(self):\n        print(self.type, self.startTime, self.source, self.peopleInImage)\n\n    def __str__(self):\n        return self.type + \" \" + self.startTime + \" \" + \\\n               self.source + \" \" + self.peopleInImage.__str__()\n\n    def toJson(self):\n        return json.dumps(self.__dict__)\n        # return json.dumps(self, default=lambda o: o.__dict__,\n        #                 sort_keys=True, indent=4)\n\n    def toDict(self):\n        j = self.__dict__\n        j['locations'] = [o.address if o is not None else \"\" for o in j['locations']]\n        return j\n\nclass LLEntrySummary(LLEntry):\n    def __init__(self,\n                 type: str,\n                 startTime: str,\n                 endTime: str,\n                 locations: List[str],\n                 text_summary: str,\n                 photo_summary: List[str],\n                 stats: Dict[str, float],\n                 objects: Dict[str, List[str]],\n                 source: str):\n        super().__init__(type, startTime, source)\n\n        # start and end time in isoformat\n        self.startTime = startTime\n        self.endTime = endTime\n\n        # text summary\n        self.textDescription = text_summary\n\n        # lists of path strings of the summary\n        self.image_paths = photo_summary\n        if len(photo_summary) > 0:\n            self.imageFilePath = photo_summary[0]\n\n        # start/end locations, or a list of locations in the trip\n        self.locations = locations\n        if len(locations) > 0:\n            self.startGeoLocation = locations[0]\n            self.endGeoLocation = locations[-1]\n        else:\n            self.startGeoLocation = self.endGeoLocation = None\n\n        # a dictionary of statistics: num_photos, num_activities, etc.\n        self.stats = stats\n\n        # a dictionary of objects\n        self.objects = objects\n\n        # a list of searchable tags\n        self.tags = self.create_tags_from_objects(objects)\n\n    def create_tags_from_objects(self, objects):\n        \"\"\"Make all object names and types searchable\n        \"\"\"\n        res = list(objects.keys())\n        for val in objects.values():\n            res += val\n        return res\n\n\n\nclass LLEntrySummary(LLEntry):\n    def __init__(self,\n                 type: str,\n                 startTime: str,\n                 endTime: str,\n                 locations: List[str],\n                 text_summary: str,\n                 photo_summary: List[str],\n                 stats: Dict[str, float],\n                 objects: Dict[str, List[str]],\n                 source: str):\n        super().__init__(type, startTime, source)\n\n        # start and end time in isoformat\n        self.startTime = startTime\n        self.endTime = endTime\n\n        # text summary\n        self.textDescription = text_summary\n\n        # lists of path strings of the summary\n        self.image_paths = photo_summary\n        if len(photo_summary) > 0:\n            self.imageFilePath = photo_summary[0]\n\n        # start/end locations, or a list of locations in the trip\n        self.locations = locations\n        if len(locations) > 0:\n            self.startGeoLocation = locations[0]\n            self.endGeoLocation = locations[-1]\n\n        # a dictionary of statistics: num_photos, num_activities, etc.\n        self.stats = stats\n\n        # a dictionary of objects\n        self.objects = objects\n\n        # a list of searchable tags\n        self.tags = self.create_tags_from_objects(objects)\n\n    def create_tags_from_objects(self, objects):\n        \"\"\"Make all object names and types searchable\n        \"\"\"\n        res = list(objects.keys())\n        for object_list in objects.values():\n            for item in object_list:\n                res.append(item[\"name\"])\n        return res\n\n\n\nclass LLEntryInvertedIndex:\n    def __init__(self):\n        self.index = {}\n\n    def addEntry(self, key: str, entry: LLEntry):\n        if key not in self.index.keys():\n            self.index[key] = []\n        self.index[key].append(entry)\n\n    def getEntries(self, key):\n        if key in self.index.keys():\n            return self.index[key]\n        else:\n            return None\n\n    def __str__(self):\n        return self.index.__str__()\n\n"
  },
  {
    "path": "src/common/objects/__init__.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\n"
  },
  {
    "path": "src/common/objects/derive_attributes.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nfrom src.common.objects.LLEntry_obj import LLEntry\n\n\n# DeriveConfigNode Example:\n# {\n#     \"attribute\": \"rawImageFilename\",\n#     \"depends_on\": [\"imageURL\"],\n#     \"function\": \"fetchImageFromURL\"\n# }\nclass DependencyNode:\n    def __init__(self, attribute: str, depends_on: list, functionName: str):\n        self.attribute = attribute\n        self.depends_on = depends_on\n        self.function = functionName\n\n    def __str__(self):\n        return \"\\\"\" + self.attribute + \"\\\" depends_on \" + self.depends_on.__str__() + \" using \\\"\" + self.function + \"\\\"\"\n\n# Represents a list of fields and how they can be derived\nclass AttributeFiller:\n    def __init__(self):\n        self.dependencies = {\n            \"rawImageFilename\": DependencyNode(\"rawImageFilename\", [\"imageURL\"], \"fetchImageFromURL\"),\n            \"imageFileName\": DependencyNode(\"imageFileName\", [\"rawImageFilename\"], \"convertImage\"),\n            \"startTime\": DependencyNode(\"startTime\", [\"endTime\", \"playDuration\", \"durationUnit\"], \"calculateStartTime\"),\n            \"endTime\": DependencyNode(\"endTime\", [\"startTime\", \"playDuration\", \"durationUnit\"], \"calculateEndTime\"),\n            \"playDuration\":  DependencyNode(\"playDuration\", [\"startTime\", \"endTime\"], \"calculatePlayDurationMs\")\n    }\n\n    def fillMissingAttributes(self, lifeLog:LLEntry):\n        lifeLog.longitude = 100\n        for key in self.dependencies:\n            current:DependencyNode = self.dependencies[key]\n            self.fillRecursive(lifeLog, current, [])\n\n\n    def fillRecursive(self, lifelog:LLEntry, dependency:DependencyNode, seen_so_far:list=None):\n        print(\"Filling:\", dependency.__str__(), \"Seen so far:\", seen_so_far.__str__())\n        to_be_derived = dependency.attribute\n        if to_be_derived in seen_so_far:\n            print(\"Missing data chain. Can't derive\", to_be_derived, \"Chain:\", seen_so_far.__str__())\n            return\n        seen_so_far.append(to_be_derived)\n        tbd_value = lifelog.__getattribute__(to_be_derived)\n        print(to_be_derived, \"tbd_val:\", tbd_value)\n        if self.isAbsent(tbd_value):\n            parent_attributes = dependency.depends_on\n            found_parents:int = 0\n            func = dependency.function\n            params = []\n            for sp in parent_attributes:\n                parent_val = lifelog.__getattribute__(sp)\n                print(sp, \"depends_val:\", parent_val)\n                if not self.isAbsent(parent_val):\n                    print(\"parent val found:\", sp)\n                    found_parents+=1\n                    params.append(str(parent_val))\n                    #Make call to function using parent vals and assign to derive field\n                    # lifelog.__setattribute__(to_be_derived, eval(function)\n                else:\n                    print(\"Not found:\", sp)\n            if found_parents == len(parent_attributes):\n                func = func + \"(\\\"\" +\"\\\",\\\"\".join(params) + \"\\\")\"\n                print(\"evaluating:\", func)\n            else:\n                    #See if we can fill parent first\n                    print(\"Looking for parent\")\n        else:\n            print(\"Value is present\")\n\n\n    def isAbsent(self, val):\n        x = (val is None or (isinstance(val, str) and val == \"\"))\n        print(val, \"is absent:\",x)\n        return x\n\nfil = AttributeFiller()\nentry = LLEntry(\"photo\",\"2022-01-05T01:04:42\",\"Google Photos\")\nfil.fillMissingAttributes(entry)\nprint(entry.toJson())\n\n"
  },
  {
    "path": "src/common/objects/import_configs.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport json\nfrom enum import Enum\n\nfrom src.common.objects.EntryTypes import EntryType\n# Each element of this list is a dictionary with following attributes:\n# Class Hierarchy:\n# DataSourceList: list[\n#   DataSource(\n#       id: str                         ([Required] Unique source id.)\n#       source_name: str                ([Required]: Name of the import source)\n#       entry_type: src.common.objects.EntryTypes.EntryType ->\n#                                       ([Required]: One of the allowed values from Enum EntryType)\n#       configs: SourceConfigs(\n#           input_directory = str       ([Required]: Directory containing data for this source)\n#           filetype = str              ([Required]: xml/csv/json)\n#           filename_regex = str        ([Optional]: regex for files)\n#           filetype_configs = dict {\n#               skiprows: int           ([Optional]: Used for CSV filetype for skipping\n#                                                   first n rows of the csv. Defaults to 0)\n#           }\n#           dedup_key = str             ([Required]: List of attributes to use as composite key for\n#                                                   deduplication when processing/re-processing data)\n#       ),\n#       field_mappings: list[           ([Required for config driven sources/\n#                                         Optional for custom sources]:\n#                                                   List containing mapping of field from input file to\n#                                                   an attribute in LLEntry class.)\n#           FieldMapping(\n#               src: str                ([Required when mapping present]: Field name in input file)\n#               target: str             ([Required when mapping present]: Attribute name in LLEntry class)\n#               src_type: str           ([Required when mapping present]: Data type of field in Source\n#                                                    Possible values: str, dict, datetime, number, not tested fully)\n#               target_type: str        ([Required when mapping present]: Data type of attribute in LLEntry class\n#                                                    Possible values: str, dict, datetime, number, not tested fully))\n#               default_value: str      ([Optional]: Value to store when data is absent.\n#                                                    Values default to None if default_value is not provided)\n#               functions: list         ([Optional]: Function to evaluate to convert source value to target value.\n#                                                    Since this list is parsed in sequence, this function has access\n#                                                    to mappings already done. As such, it can work on the src,\n#                                                    as well as already mapped target attributes. FOr usage refer to\n#                                                    data_source.json and evaluate_functions in\n#                                                    [generic_importer.py](src/ingest/importers/generic_importer.py)\n#           )\n#       ]\n#   )\n# ]\ndef get_val_or_none(kv:dict, key:str):\n    if key in kv.keys():\n        return kv[key]\n    else:\n        return None\n\nclass FileType(str, Enum):\n    CSV: str=\"csv\"\n    JSON: str=\"json\"\n    XML: str=\"xml\"\n\n    def toJson(self):\n        return json.dumps(self.__dict__.values())\n\nclass SourceConfigs:\n    def __init__(self, input_directory:str, filetype:FileType,\n                 filename_regex:str, filetype_configs:dict,\n                 dedup_key: list):\n        self.input_directory = input_directory\n        self.filetype = filetype\n        self.filename_regex = filename_regex\n        self.filetype_configs = filetype_configs\n        self.dedup_key = dedup_key\n\n    def __str__(self):\n        return self.input_directory + \" \" + self.filetype\n\n    def toJson(self):\n        return json.dumps(self.__dict__)\n\n\nclass FieldMapping:\n    def __init__(self,src, target, src_type, target_type, functions, default_value=\"\"):\n        self.src: str = src\n        self.target: str = target\n        self.src_type: str = src_type\n        self.target_type: str = target_type\n        self.default_value: str = default_value\n        self.functions: list = functions\n\n    def __str__(self):\n        return self.src + \" \" + self.target + \" \" + self.src_type + \" \" + self.target_type\n\n    def toJson(self):\n        return json.dumps(self.__dict__)\n\n\nclass DataSource:\n    def __init__(self, id, source_name, entry_type:EntryType, configs, field_mappings):\n        self.id: int = id\n        self.source_name: str = source_name\n        self.entry_type = entry_type\n\n\n        self.configs = SourceConfigs(get_val_or_none(configs, \"input_directory\"),\n                                     get_val_or_none(configs, \"filetype\"),\n                                     get_val_or_none(configs, \"filename_regex\"),\n                                     get_val_or_none(configs, \"filetype_configs\"),\n                                     get_val_or_none(configs, \"dedup_key\"))\n        self.field_mappings = []\n        if field_mappings is not None:\n            for f in field_mappings:\n                self.field_mappings.append(FieldMapping(get_val_or_none(f, \"src\"),\n                                                        get_val_or_none(f, \"target\"),\n                                                        get_val_or_none(f, \"src_type\"),\n                                                        get_val_or_none(f, \"target_type\"),\n                                                        get_val_or_none(f, \"functions\"),\n                                                        get_val_or_none(f, \"default_value\")))\n\n    def __str__(self):\n        return str(self.id) + \" \" + self.source_name + \" \" + self.configs.__str__() + \\\n               \" \" + self.field_mappings.__str__()\n\n    def toJson(self):\n        return json.dumps(self.__dict__)\n\nclass DataSourceList:\n    def __init__(self, ds):\n        self.data_sources = []\n        for entry in ds:\n            entry_type:EntryType = get_val_or_none(entry, \"entry_type\")\n            if entry_type is None:\n                raise Exception(\"Entry Type cannot be null for data source \" + get_val_or_none(entry, \"source_name\"))\n            self.data_sources.append(DataSource(get_val_or_none(entry, \"id\"),\n                                                get_val_or_none(entry, \"source_name\"),\n                                                get_val_or_none(entry, \"entry_type\"),\n                                                get_val_or_none(entry, \"configs\"),\n                                                get_val_or_none(entry, \"field_mappings\")))\n\n    def __str__(self):\n        return self.data_sources.__str__()\n\n    def toJson(self):\n        return json.dumps(self.__dict__)"
  },
  {
    "path": "src/common/persistence/__init__.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\n"
  },
  {
    "path": "src/common/persistence/key_value_db.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport sqlite3\nimport os\n\ntry:\n    os_path_to_data = os.environ['APP_DATA_DIR']\nexcept:\n    os_path_to_data = \"personal-data/app_data\"\n\nclass CacheDBConnector:\n    def __new__(cls):\n        if not hasattr(cls, 'instance'):\n            cls.instance = super(CacheDBConnector, cls).__new__(cls)\n            if not os.path.exists(os_path_to_data):\n                print(\"Path does not exist. Creating\", os_path_to_data)\n                os.mkdir(os_path_to_data)\n            cls.instance.con = sqlite3.connect(os.path.join(os_path_to_data, \"sqlite_cache.db\"), check_same_thread=False)\n            cls.instance.cursor = cls.instance.con.cursor()\n            cls.instance.setup_tables()\n        return cls.instance\n\n    tables = [\"geo_cache\", \"reverse_geo_cache\"]\n\n    ddl = {\n        \"geo_cache\": \"CREATE TABLE geo_cache(id INTEGER PRIMARY KEY AUTOINCREMENT, \"\n                    \"key, value)\",\n        \"reverse_geo_cache\": \"CREATE TABLE reverse_geo_cache(id INTEGER PRIMARY KEY AUTOINCREMENT, \"\n                     \"key, value)\"\n        }\n\n    indexes = {\n        \"geo_cache\": [\n            'CREATE UNIQUE INDEX \"uniq_key_gc\" ON \"geo_cache\" ( \"key\" )'\n        ],\n        \"reverse_geo_cache\": [\n            'CREATE UNIQUE INDEX \"uniq_key_rgc\" ON \"reverse_geo_cache\" ( \"key\" )'\n        ]\n    }\n\n    def setup_tables(self):\n        for table in CacheDBConnector.tables:\n            lookup_sql = \"SELECT name FROM sqlite_master WHERE name='\" + table + \"'\"\n            # print(\"Looking for \", table, \"using SQL:: \", lookup_sql)\n            res = self.cursor.execute(lookup_sql)\n            if res.fetchone() is None:\n                create_sql = CacheDBConnector.ddl[table]\n                print(\"Creating table: \", table, \" using SQL:: \", create_sql)\n                self.execute_write(create_sql)\n                if table in CacheDBConnector.indexes.keys():\n                    for idx_sql in CacheDBConnector.indexes[table]:\n                        print(\"Creating index using SQL:: \", idx_sql)\n                        self.execute_write(idx_sql)\n            # else:\n            #     print(\"Table \", table, \" found.\")\n\n    def get(self, key:str, table:str) -> str:\n        read_sql = \"SELECT value from \" + table +\" where key=\\\"\"+key+\"\\\"\"\n        result = self.cursor.execute(read_sql)\n        return result.fetchone()\n\n    def put(self,key:str, value:str, table:str):\n        insert_sql = \"INSERT INTO \"+table+\" (key, value) values(?, ?)\"\n        self.execute_write(insert_sql, (key,value))\n\n    def execute_write(self,sql,params=None):\n        if params:\n            self.con.commit()\n            self.con.execute(sql,params)\n        else:\n            self.con.commit()\n            self.con.execute(sql)\n        self.con.commit()\n"
  },
  {
    "path": "src/common/persistence/personal_data_db.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\n# -- Category (Transaction)\n#  |-- Data_Source (Bank of America)\n#    |-- Personal_Data (\n# DB Schema:\n# CATEGORY\n# -> Has info on higher level category that a data source may belong to.\n#    New Category can be created but should be rare)\n# ID    Name            Fields\n# 1     Travel          <Dict of Field Names to data types>\n# 2     Transaction\n# 3     Workout\n# 4     Music\n\n# DATA_SOURCE :\n# ID     Source_Name      Category_Id(FK)    config              Field_Mappings\n#  1    Bank of America     2                {json conf}         {Field Mappings to LLEntry}\n#  2    Apple Health        3\n#  3    Strava              3\n\n# config example\n# {\"input_directory\": \"personal-data/bofa\",\n#  \"filetype\": \"csv\"|\"json\"\n# Personal_Data (All data from same source will have to be deleted\n# and re-imported as there is no known unique key\n#  ID    Source_Id(FK)  timestamp    Data\n#   1        1          16342223     (Object based on field mapping)\n\nimport sqlite3\nimport json\nimport pickle\nfrom pathlib import Path\nfrom sqlite3 import Cursor\nimport os\n\nfrom src.common.objects.LLEntry_obj import LLEntry\nfrom src.common.objects.import_configs import DataSourceList\n\nos_path_to_data = os.environ['APP_DATA_DIR'] if 'APP_DATA_DIR' in os.environ else \"personal-data/app_data\"\nclass PersonalDataDBConnector:\n    def __new__(cls):\n        if not hasattr(cls, 'instance'):\n            cls.instance = super(PersonalDataDBConnector, cls).__new__(cls)\n            if not os.path.exists(os_path_to_data):\n                print(\"Path does not exist. Creating\", os_path_to_data)\n                os.mkdir(os_path_to_data)\n            cls.instance.con = sqlite3.connect(os.path.join(os_path_to_data, \"raw_data.db\"))\n            cls.instance.cursor = cls.instance.con.cursor()\n            cls.instance.setup_tables()\n        return cls.instance\n\n    tables = [\"data_source\", \"personal_data\"]\n\n    ddl = {\n        \"category\": \"CREATE TABLE category(id INTEGER PRIMARY KEY AUTOINCREMENT, \"\n                  \"name, fields)\",\n        \"data_source\": \"CREATE TABLE data_source(id INTEGER PRIMARY KEY AUTOINCREMENT, \"\n                  \"source_name UNIQUE, entry_type, configs, field_mappings)\",\n        \"personal_data\": \"CREATE TABLE personal_data(id INTEGER PRIMARY KEY AUTOINCREMENT, \"\n                     \"source_id, data_timestamp, dedup_key UNIQUE, data, \"\n                     \"imageFileName, imageFilePath UNIQUE,\"\n                     \"location, location_done DEFAULT 0, captions, captions_done DEFAULT 0,\"\n                     \"embeddings, embedding_done DEFAULT 0, status DEFAULT active, dedup_done DEFAULT 0,\"\n                     \"enriched_data, export_done DEFAULT 0,\"\n                     \"FOREIGN KEY(source_id) REFERENCES data_source(id))\"\n    }\n\n    indexes = {\n        \"personal_data\": [\n            'CREATE UNIQUE INDEX \"uniq_img_filepath\" ON \"personal_data\" ( \"imageFilePath\" )',\n            'CREATE UNIQUE INDEX \"uniq_src_filename\" ON \"personal_data\" ( \"source_id\", \"imageFileName\" )'\n        ]\n    }\n\n    bootstrap_locations = {\n        \"data_source\": \"src/common/bootstrap/data_source.json\"\n    }\n\n    def execute_write(self,sql,params=None):\n        if params:\n            self.con.commit()\n            self.con.execute(sql,params)\n        else:\n            self.con.commit()\n            self.con.execute(sql)\n        self.con.commit()\n\n    def get_data_source_location(self):\n        return PersonalDataDBConnector.bootstrap_locations[\"data_source\"]\n\n    def setup_tables(self):\n        for table in PersonalDataDBConnector.tables:\n            lookup_sql = \"SELECT name FROM sqlite_master WHERE name='\" + table + \"'\"\n            # print(\"Looking for \", table, \"using SQL:: \", lookup_sql)\n            res = self.cursor.execute(lookup_sql)\n            if res.fetchone() is None:\n                create_sql = PersonalDataDBConnector.ddl[table]\n                print(\"Creating table: \", table, \" using SQL:: \", create_sql)\n                self.execute_write(create_sql)\n                if table in PersonalDataDBConnector.indexes.keys():\n                    for idx_sql in PersonalDataDBConnector.indexes[table]:\n                        print(\"Creating index using SQL:: \", idx_sql)\n                        self.execute_write(idx_sql)\n            else:\n                print(\"Table \", table, \" found.\")\n            if table in PersonalDataDBConnector.bootstrap_locations.keys():\n                print(\"Bootstrapping...\")\n                bootstrap_file = PersonalDataDBConnector.bootstrap_locations[table]\n                cwd = str(Path().absolute())\n                bootstrap_file = cwd + \"/\" + bootstrap_file\n                #print(\"Reading \", bootstrap_file)\n                with open(bootstrap_file, 'r') as f1:\n                    r = f1.read()\n                    json_data = json.loads(r)\n                    #Create Python Class Object from Json\n                    ds_list = DataSourceList(json_data)\n                    for entry in ds_list.data_sources:\n                        self.add_or_replace(table, entry.__dict__, \"id\")\n            else:\n                print(\"No bootstrap data available for \", table)\n\n    def add_or_replace_personal_data(self, key_value: dict, unique_key=None):\n        self.add_or_replace(\"personal_data\", key_value, unique_key)\n    def add_or_replace(self, table, key_value:dict, unique_key:str=None):\n        insert_key_arr = []\n        insert_placeholder_arr=[]\n        insert_value_arr = []\n        update_arr_key = [] # For Upsert using ON CONFLICT command\n        update_arr_val = []\n        for key in key_value:\n            #print(\"Key:: \", key, \" > \", type(key_value.__dict__[key]))\n            insert_key_arr.append(key)\n            insert_placeholder_arr.append(\"?\")\n            if key != unique_key:\n                update_arr_key.append(key + \"=?\")\n            if not (isinstance(key_value[key], int) or isinstance(key_value[key], str)):\n                update_arr_val.append(pickle.dumps(key_value[key]))\n                insert_value_arr.append(pickle.dumps(key_value[key]))\n            else:\n                if key != unique_key:\n                    update_arr_val.append(key_value[key])\n                insert_value_arr.append(key_value[key])\n        insert_values = tuple(insert_value_arr) + tuple(update_arr_val)\n\n        insert_sql = \"INSERT INTO \" + table + \"(\" + \", \".join(insert_key_arr) + \")\" \\\n                     + \" values (\" + \", \".join(insert_placeholder_arr) + \")\"\n        if unique_key is not None:\n            insert_sql += \" ON CONFLICT(\" + unique_key + \") DO UPDATE SET \" + \\\n                          \", \".join(update_arr_key)\n        # print(\"Insert SQL:: \", insert_sql,  \"data: \", insert_values)\n        self.execute_write(insert_sql, insert_values)\n\n    def read_data_source_conf(self, select_cols:str, source_name=None):\n        if source_name is not None:\n            read_sql = \"SELECT \" + select_cols + \" from data_source where source_name=\\\"\"+source_name+\"\\\"\"\n        else:\n            read_sql = \"SELECT \" + select_cols + \" from data_source\"\n        result = self.cursor.execute(read_sql)\n        return result.fetchall()\n\n    def search_personal_data(self, select_cols: str, where_conditions: dict=None) -> Cursor:\n        where_arr = []\n        if where_conditions is not None:\n            for key in where_conditions:\n                where_arr.append(key + \" \" + where_conditions[key])\n        where_clause = \"\"\n        if len(where_arr) > 0:\n            where_clause = \" WHERE \" + \" AND \".join(where_arr)\n        lookup_sql = \"SELECT \" + select_cols + \" FROM personal_data \" + where_clause\n        # print(\"Searching for personal data using SQL:: \", lookup_sql)\n        res = self.cursor.execute(lookup_sql)\n        return res\n\n    def add_photo(self, source_id: str, obj: LLEntry):\n        pickled_object = pickle.dumps(obj)\n        insert_sql = \"\"\"INSERT INTO personal_data (source_id, data_timestamp, imageFileName, imageFilePath, data)\n         values(?,?,?,?,?)\"\"\"\n        data_tuple = (source_id, int(obj.imageTimestamp), obj.imageFileName, obj.imageFilePath, pickled_object)\n        #print(\"Insert SQL:: \", insert_sql, \" data:: \", data_tuple)\n        self.execute_write(insert_sql, data_tuple)\n\n    def add_only_photo(self, source_id: str, imageFileName: str, imageFilePath: str):\n        insert_sql = \"\"\"INSERT INTO personal_data (source_id, imageFileName, imageFilePath)\n                 values(?,?,?)\"\"\"\n        data_tuple = (source_id, imageFileName, imageFilePath)\n        #print(\"Insert img only SQL:: \", insert_sql, \" data:: \", data_tuple)\n        self.execute_write(insert_sql, data_tuple)\n\n    def is_same_photo_present(self, source, filename, timestamp):\n        lookup_sql = \"\"\"SELECT imageFileName FROM personal_data WHERE source_id=? AND imageFileName=? AND data_timestamp=?\"\"\"\n        data_tuple = (source, filename, timestamp)\n        # print(\"Searching for \", filename, \" using SQL:: \", lookup_sql, data_tuple)\n        res = self.cursor.execute(lookup_sql, data_tuple)\n        if res.fetchone() is None:\n            #print(filename, \" not found.\")\n            return False\n        else:\n            #print(filename, \" found.\")\n            return True\n\n    def print_data_stats_by_source(self):\n        stats_sql = \"\"\"SELECT ds.source_name, COUNT(*) as count\n                    from data_source ds LEFT JOIN personal_data pd \n                    on pd.source_id=ds.id \n                    where pd.data is not null\n                    group by ds.source_name\n                    order by ds.id\"\"\"\n        res = self.cursor.execute(stats_sql)\n\n        print(\"Data Stats by source:::\")\n        print(\"Source\", \": \", \"Count\")\n        for row in res.fetchall():\n           print(row[0],\": \", row[1])\n"
  },
  {
    "path": "src/common/user_info.json",
    "content": "{\n    \"name\": \"Hilbert\", \n    \"address\": \"Menlo Park, California, United States\",\n    \"addresses\": [\n        {\n            \"name\": \"Work\",\n            \"address\": \"Menlo Park, California, United States\",\n            \"radius\": 0.1\n        },\n        {\n            \"name\": \"Home\",\n            \"address\": \"Menlo Park, California, United States\",\n            \"radius\": 0.1\n        },\n        {\n            \"name\": \"My neighborhood\",\n            \"address\": \"Menlo Park, California, United States\",\n            \"radius\": 1\n        }\n\n    ]\n}\n"
  },
  {
    "path": "src/common/util.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport datetime\nfrom pathlib import Path\n\nimport pytz\nimport json\n\nfrom datetime import datetime, timedelta\nfrom timezonefinder import TimezoneFinder\nfrom sklearn.metrics.pairwise import haversine_distances\nfrom math import radians\nfrom typing import Union, List\nfrom geopy import Location\n\nfrom src.common.geo_helper import GeoHelper\n\nEPOCH = datetime(1970,1,1)\n\n# output a string such as \"Showing photo 17 of 24\"\ndef xOfy(i, total):\n    result = \"Showing photo \" + str(i+1) + \" of \" + str(total)\n    return result\n\n#extract a tuple of year/month/day from ISO format\ndef extractYMD(date):\n    year = int(date[0:4])\n    month = int(date[5:7])\n    dom = int(date[8:10])\n    return ((year, month, dom))\n\n#extracting a month or day-of-month from ISO format\ndef extract_month(date):\n    return(date[5:7])\n\ndef extract_DOM(date):\n    return(date[8:10])\n\ndef sameMonth(date1, date2):\n    d1 = date1[0:7]\n    d2 = date2[0:7]\n    return (d1 == d2)\n\n# truncates a string number to a string with digits after the decimal\ndef truncateStringNum(num,digits):\n    f = float(num) * (10 ** digits)\n    i = int(f) / (10 ** digits)\n    if digits == 0:\n        j = int(i)\n        return (str(j))\n    else:\n        return (str(i))\n\ndef dayToDate(num):\n    result = datetime(1970,1,1) + timedelta(days=num)\n    print (result)\n    return (str(result))\n\ndef daysSinceEpoch(date):\n    #print(date)\n    year, month, dom = extractYMD(date)\n#    diff = (datetime.datetime(year, month, dom) - datetime.datetime(1970,1,1)).days\n    diff = (datetime(year, month, dom) - datetime(1970,1,1)).days\n    return (int(diff))\n\n#return the day that happens n days after the epoc (1970/1/1)\ndef nDaysAfterEpoch(n):\n    epoch_day = datetime(1970,1,1)\n    new_day = epoch_day + timedelta(days=n)\n    return (str(new_day)[0:10])\n\n# extract the time of day from ISO format\ndef extractTOD(s):\n    return s[11:19]\n\n# given a time (ISO text), origin and target timezones (text), convert the time\n# from the origin to target timezone.\ndef convertToTimezone (t, tz_origin, tz_target):\n    given_time = t[0:19]\n    time_object = datetime.fromisoformat(given_time)\n    tz1 = pytz.timezone(tz_origin)\n    tz2 = pytz.timezone(tz_target)\n    origin_date = tz1.localize(time_object)\n    target_date = tz2.normalize(origin_date)\n    #print(\"converting time t from tz origin to tz-target: result\")\n    #print (t, tz_origin, tz_target)\n    #print (target_date)\n    return(str(target_date))\n\n#given a lat/long, return the string for its timezon\ndef convertlatlongToTimezone(lat_string, long_string):\n    tf = TimezoneFinder()\n    longitude = float(long_string)/1E7\n    latitude = float(lat_string)/1E7\n    timezone_str = str(tf.timezone_at(lng=longitude, lat=latitude))\n    return (timezone_str)\n\ndef convertOutOfE7(s):\n    return str(float(s)/1E7)\n\ndef extractYMDHM(date):\n    year = int(date[0:4])\n    month = int(date[5:7])\n    dom = int(date[8:10])\n    hour = int(date[11:13])\n    minute = int(date[14:16])\n    #print (dom, hour, minute)\n    return ((year, month, dom, hour, minute))\n\n\ndef dict_to_json(dict):\n    new_dict = {}\n    for key in dict:\n        json_str = \"[ \"\n        cnt = 0\n        for obj in dict[key]:\n            cnt = cnt +1\n            if cnt > 1:\n                json_str = json_str + \" , \"\n            json_str = json_str + obj.toJson()\n        json_str = json_str + \" ]\"\n        new_dict[key]= json_str\n    return(new_dict)\n\n\ndef distance(latlon_a, latlon_b):\n    \"\"\"Compute distance in km of two latlon pairs.\n    \"\"\"\n    radians_a = [radians(_) for _ in latlon_a]\n    radians_b = [radians(_) for _ in latlon_b]\n    result = haversine_distances([radians_a, radians_b])\n    return result[1, 0] * 6371000 / 1000  # multiply by Earth radius to get kilometers\n\n\ngeolocator = GeoHelper()\ngeo_cache = {}\ntry:\n    translate_geo_cache = {} #dbm.open('personal-data/app_data/geo_cache', 'c')\nexcept:\n    print(\"translate_geo_cache\", translate_geo_cache.keys())\ncwd = str(Path().absolute())\nuser_info = json.load(open(cwd+\"/src/common/user_info.json\"))\ndefault_location = user_info[\"address\"]\n\n\n\ndef translate_place_name(place_name: str) -> str:\n    \"\"\"Translate a place name to English.\n    \"\"\"\n    # print(place_name)\n    result = place_name\n\n    if place_name in translate_geo_cache:\n        result = translate_geo_cache[place_name]#.decode('utf8')\n        # translate_geo_cache.close()\n        return result\n\n    translated_addr = geolocator.geocode(place_name, language=\"en\")\n    if translated_addr is not None:\n        result = translated_addr.address\n        translate_geo_cache[place_name] = result\n    # translate_geo_cache.close()\n    return result\n\ndef is_home(loc: Location):\n    \"\"\"Check if a location is home (within 100km).\"\"\"\n    try:\n        home = get_coordinate(default_location)\n        loc = get_coordinate(loc)\n        return distance(home, loc) <= 100.0\n    except:\n        return True\n\ndef get_location_attr(loc: Location, attr: Union[str, List]):\n    \"\"\"Return an attribute (city, country, etc.) of a location\"\"\"\n    if loc is None:\n        return \"\"\n\n    addr = loc\n    if 'address' not in addr.raw:\n        cood = (loc.latitude, loc.longitude)\n        if cood not in geo_cache:\n            addr = geolocator.calculateLocation(loc.latitude, loc.longitude)\n            geo_cache[cood] = addr\n        else:\n            addr = geo_cache[cood]\n\n    if 'address' in addr.raw:\n        if isinstance(attr, str):\n            attr = [attr]\n\n        for attr_item in attr:\n            if attr_item in addr.raw['address']:\n                return addr.raw['address'][attr_item]\n\n    return \"\"\n\n# create trip segments: consecutive days with start / end = home\n# geolocator = geopy.geocoders.Nominatim(user_agent=\"my_request\")\n# geo_cache = {}\n#default_location = json.load(open('user_info.json'))[\"address\"] # \"United States\"\n\ndef str_to_location(loc: str):\n    \"\"\"Convert a string to geolocation.\"\"\"\n    if loc in geo_cache:\n        return geo_cache[loc]\n    else:\n        geoloc = geolocator.geocode(loc.replace(';', ', '), language='en')\n        if geoloc is None:\n            geoloc = geolocator.geocode(default_location, language='en') # maybe use home as default?\n\n        geo_cache[loc] = geoloc\n        return geoloc\n\n\ndef get_coordinate(loc: Union[str, Location]):\n    \"\"\"Get coordinate of a location.\"\"\"\n    if isinstance(loc, Location):\n        return loc.latitude, loc.longitude\n\n    geoloc = str_to_location(loc)\n    return geoloc.latitude, geoloc.longitude\n\n"
  },
  {
    "path": "src/frontend/Dockerfile",
    "content": "FROM node:18.16.0\n\nWORKDIR /app \n\n\nCOPY src/frontend .\nCOPY sample_data public/digital_data\n\n# RUN ln -s /app/personal-data/app_data /app/public/digital_data/app_data\n\n# To load the images the soft link should be to the entire personal-data folder\nRUN ln -s /app/personal-data /app/public/digital_data\nRUN yarn install\nRUN yarn add react react-scripts primereact primeicons video-react react-timelines @react-google-maps/api @uiw/react-heat-map react-syntax-highlighter @babel/runtime\n\nCMD [\"yarn\", \"start\"]"
  },
  {
    "path": "src/frontend/README.md",
    "content": "# Personal Timeline UI\n\nCreate and activate a new conda env:\n```\nconda create -n digital_data python=3.10\nconda activate digital_data\n```\n\nInstall nodejs and yarn:\n```\nconda install -c conda-forge nodejs==18.10.0 yarn\n```\n\nInstall some react libraries:\n```\nyarn add primereact primeicons video-react react-timelines @react-google-maps/api @uiw/react-heat-map react-syntax-highlighter @babel/runtime\n```\n\n\n## Data preparation\n\nData should be stored under `public/digital_data/`. For testing, you can copy the anonymized sample [data](../../sample_data/) from the main directory by running:\n```\ncp -r ../../sample_data public/digital_data/\n```\n\nFiles under this directory are:\n* `episodes.csv`: the csv table containing all episodes for rag-based QA\n* `books.json`, `exercise.json`, `photos.json`, `places.json`, `purchase.json`, `streaming.json`, `trips.json`: these are episodes in JSON format for visualization.\n\nImages (for serving) should be stored under `public/digital_data/images/`.\n\n\n## To build and start the React frontend\n\n```\nyarn\nyarn start\n```\n\nThe homepage should be available at `http://localhost:3000/`. The frontend code is at `frontend/src/App.js`.\n\n### To build and serve the frontend:\n```\nyarn build\nnpx serve -s build\n```\n\n"
  },
  {
    "path": "src/frontend/__init__.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\n"
  },
  {
    "path": "src/frontend/package.json",
    "content": "{\n  \"name\": \"research_ui\",\n  \"version\": \"0.1.0\",\n  \"private\": true,\n  \"dependencies\": {\n    \"@babel/runtime\": \"^7.21.0\",\n    \"@react-google-maps/api\": \"^2.18.1\",\n    \"@testing-library/jest-dom\": \"^5.16.5\",\n    \"@testing-library/react\": \"^13.4.0\",\n    \"@testing-library/user-event\": \"^13.5.0\",\n    \"@uiw/react-heat-map\": \"^2.0.5\",\n    \"@uiw/react-tooltip\": \"^4.21.23\",\n    \"primeflex\": \"^3.3.0\",\n    \"primeicons\": \"^6.0.1\",\n    \"primereact\": \"^9.2.1\",\n    \"react\": \"^18.2.0\",\n    \"react-activity-calendar\": \"^1.7.0\",\n    \"react-calendar-heatmap\": \"^1.9.0\",\n    \"react-dom\": \"^18.2.0\",\n    \"react-github-calendar\": \"^3.4.0\",\n    \"react-life-timeline\": \"^1.0.11\",\n    \"react-router-dom\": \"^6.8.1\",\n    \"react-scripts\": \"5.0.1\",\n    \"react-syntax-highlighter\": \"^15.5.0\",\n    \"react-timelines\": \"^2.6.1\",\n    \"react-tooltip\": \"^5.8.2\",\n    \"redux\": \"^4.2.1\",\n    \"serve\": \"^14.2.0\",\n    \"video-react\": \"^0.16.0\",\n    \"web-vitals\": \"^2.1.4\"\n  },\n  \"scripts\": {\n    \"start\": \"react-scripts start\",\n    \"build\": \"react-scripts build\",\n    \"test\": \"react-scripts test\",\n    \"eject\": \"react-scripts eject\"\n  },\n  \"eslintConfig\": {\n    \"extends\": []\n  },\n  \"browserslist\": {\n    \"production\": [\n      \">0.2%\",\n      \"not dead\",\n      \"not op_mini all\"\n    ],\n    \"development\": [\n      \"last 1 chrome version\",\n      \"last 1 firefox version\",\n      \"last 1 safari version\"\n    ]\n  }\n}\n"
  },
  {
    "path": "src/frontend/public/index.html",
    "content": "<!DOCTYPE html>\n<html lang=\"en\">\n  <head>\n    <meta charset=\"utf-8\" />\n    <!-- <link rel=\"icon\" href=\"%PUBLIC_URL%/favicon.ico\" />\n    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\" />\n    <meta name=\"theme-color\" content=\"#000000\" />\n    <meta\n      name=\"description\"\n      content=\"Web site created using create-react-app\"\n    />\n    <link rel=\"apple-touch-icon\" href=\"%PUBLIC_URL%/logo192.png\" /> -->\n    <!--\n      manifest.json provides metadata used when your web app is installed on a\n      user's mobile device or desktop. See https://developers.google.com/web/fundamentals/web-app-manifest/\n    -->\n    <link rel=\"manifest\" href=\"%PUBLIC_URL%/manifest.json\" />\n    <!--\n      Notice the use of %PUBLIC_URL% in the tags above.\n      It will be replaced with the URL of the `public` folder during the build.\n      Only files inside the `public` folder can be referenced from the HTML.\n\n      Unlike \"/favicon.ico\" or \"favicon.ico\", \"%PUBLIC_URL%/favicon.ico\" will\n      work correctly both with client-side routing and a non-root public URL.\n      Learn how to configure a non-root public URL by running `npm run build`.\n    -->\n    <title>Personal Timeline</title>\n  </head>\n  <body>\n    <noscript>You need to enable JavaScript to run this app.</noscript>\n    <div id=\"root\"></div>\n    <!--\n      This HTML file is a template.\n      If you open it directly in the browser, you will see an empty page.\n\n      You can add webfonts, meta tags, or analytics to this file.\n      The build step will place the bundled scripts into the <body> tag.\n\n      To begin the development, run `npm start` or `yarn start`.\n      To create a production bundle, use `npm run build` or `yarn build`.\n    -->\n  </body>\n</html>\n"
  },
  {
    "path": "src/frontend/public/manifest.json",
    "content": "{\n  \"short_name\": \"React App\",\n  \"name\": \"Create React App Sample\",\n  \"icons\": [\n    {\n      \"src\": \"favicon.ico\",\n      \"sizes\": \"64x64 32x32 24x24 16x16\",\n      \"type\": \"image/x-icon\"\n    },\n    {\n      \"src\": \"logo192.png\",\n      \"type\": \"image/png\",\n      \"sizes\": \"192x192\"\n    },\n    {\n      \"src\": \"logo512.png\",\n      \"type\": \"image/png\",\n      \"sizes\": \"512x512\"\n    }\n  ],\n  \"start_url\": \".\",\n  \"display\": \"standalone\",\n  \"theme_color\": \"#000000\",\n  \"background_color\": \"#ffffff\"\n}\n"
  },
  {
    "path": "src/frontend/public/robots.txt",
    "content": "# https://www.robotstxt.org/robotstxt.html\nUser-agent: *\nDisallow:\n"
  },
  {
    "path": "src/frontend/requirements.txt",
    "content": "plotly\nmatplotlib\nscikit-learn\nopenai\nflask\nhydra-core\ntransformers\nspotipy\nfaiss-cpu\npandas\nhydra-core==1.3.2\nlangchain==0.1.11\nsqlparse\nflask-cors\n"
  },
  {
    "path": "src/frontend/src/App.css",
    "content": ".App {\n  /* text-align: center; */\n  font-family: sans-serif;\n  margin: 20px;\n}\n\n.App-logo {\n  height: 40vmin;\n  pointer-events: none;\n}\n\n@media (prefers-reduced-motion: no-preference) {\n  .App-logo {\n    animation: App-logo-spin infinite 20s linear;\n  }\n}\n\n.App-header {\n  background-color: #282c34;\n  min-height: 100vh;\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  justify-content: center;\n  font-size: calc(10px + 2vmin);\n  color: white;\n}\n\n.App-link {\n  color: #61dafb;\n}\n\n@keyframes App-logo-spin {\n  from {\n    transform: rotate(0deg);\n  }\n  to {\n    transform: rotate(360deg);\n  }\n}\n\n.terminal-demo p {\n  margin-top: 0;\n}\n.terminal-demo .p-terminal {\n  background-color: #212121;\n  color: #fff;\n}\n.terminal-demo .p-terminal .p-terminal-command {\n  color: #80cbc4;\n}\n.terminal-demo .p-terminal .p-terminal-prompt {\n  color: #ffd54f;\n}\n.terminal-demo .p-terminal .p-terminal-response {\n  color: #9fa8da;\n}\n"
  },
  {
    "path": "src/frontend/src/App.js",
    "content": "/*\n * Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n\nimport './App.css';\n\nimport React, { useEffect, useState, useRef } from 'react';\nimport { Terminal } from 'primereact/terminal';\nimport { TerminalService } from 'primereact/terminalservice';\nimport { ProgressBar } from 'primereact/progressbar';\nimport { TabView, TabPanel } from 'primereact/tabview';\nimport { Card } from 'primereact/card';\nimport { Button } from 'primereact/button';\nimport { addDays } from './timeline/builders'\nimport { Tooltip } from 'primereact/tooltip';\nimport { Toast } from 'primereact/toast';\nimport { RadioButton } from 'primereact/radiobutton';\nimport { Image } from 'primereact/image';\nimport { Calendar } from 'primereact/calendar';\nimport { Divider } from 'primereact/divider';\nimport { Dropdown } from 'primereact/dropdown';\nimport { Toolbar } from 'primereact/toolbar';\nimport { Paginator } from 'primereact/paginator';\n\n\nimport HeatMap from '@uiw/react-heat-map';\nimport GoogleMapComponent from './map/GoogleMapComponent';\n\nimport { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';\nimport { coy } from 'react-syntax-highlighter/dist/esm/styles/prism';\n\nimport \"video-react/dist/video-react.css\"; // import css\nimport importDigitalData from './service/DigitalDataImportor';\n\nimport { config } from './Constants';\n\nfunction App() {\n\n  // today's date\n  const today = new Date();\n\n  // answer for QA\n  const [answer, setAnswer] = useState(\"Empty\")\n\n  // whether the query is running\n  const [running, setRunning] = useState(false);\n\n  // digital data tracks\n  const [tracks, setTracks] = useState([]);\n\n  // the list of geo locations\n  const [geo, setGeo] = useState([]);\n\n  // for heatmap calendar\n  const [dayCount, setDayCount] = useState([]);\n\n  // endDay is always today\n  const [startDay, setStartDay] = useState(today);\n\n  // number of days to be shown in the heatmap\n  const [dayLength, setDayLength] = useState(700);\n\n  // selected start/end date\n  const [selectedDateRange, setSelectedDateRange] = useState(null);\n\n  // selected track\n  const [selectedTrack, setSelectedTrack] = useState(null);\n\n  // world-state\n  const [worldState, setWorldState] = useState({\n    'id': 'none',\n    'some_attribute': 'val'\n  });\n\n  // Paginator related\n  const [paginatorFirst, setPaginatorFirst] = useState(0);\n  const [paginatorRows, setPaginatorRows] = useState(50);\n\n  // events to be shown in the timeline\n  const [events, setEvents] = useState([]);\n\n  // selected event ID's\n  const [selectedIDs, setSelectedIDs] = useState(null);\n\n  // selected view's index (timeline, map, etc.)\n  const [activeIndex, setActiveIndex] = useState(0);\n\n  // qa engine\n  const [qa, setQA] = useState(null);\n\n  // sample questions\n  const [sampleQuestions, setSampleQuestions] = useState([\n    \"Show me some photos of plants in my neighborhood\", \n    \"Which cities did I visit when I traveled to Japan?\",\n    \"How many books did I purchase in April?\"]);\n\n  // different qa methods\n  const qa_methods = [\"ChatGPT\", \"Retrieval-based\", \"View-based\"]\n\n  // mapping names of the different maps to indices\n  // const view_name_mp = {\n  //   \"timeline\": 0, \"query_result\": 1, \"video\": 2,\n  //   \"retrieval_result\": 3, \"heatmap\": 4,\n  //   \"map\": 5, \"details\": 6\n  // }\n  const view_name_mp = {\n    \"query_result\": 0,\n    \"retrieval_result\": 1, \n    \"map\": 2, \"details\": 3\n  }\n\n  // Toast\n  const toast = useRef(null);\n\n  /**\n   * useEffect hooks for updating heatmap, geo based on tracks\n   */\n  useEffect(() => {\n    let dates = [];\n    let new_geo = [];\n    let counter = {};\n\n    for (let track_id = 0; track_id < tracks.length; track_id++) {\n      let track = tracks[track_id];\n      for (let i = 0; i < track.elements.length; i++) {\n        let elem = track.elements[i]; // id, title, start, end\n        let date_str = elem.start.toDateString();\n        dates.push(date_str);\n        if (!(date_str in counter)) {\n          counter[date_str] = { date: date_str, count: 0 };\n        }\n\n        if (!(track.title in counter[date_str])) {\n          counter[date_str][track.title] = 0;\n        }\n        counter[date_str].count += 1;\n        counter[date_str][track.title] += 1;\n\n        if (elem.lat && elem.long) {\n          new_geo.push(elem);\n        }\n      }\n    }\n\n    // counter\n    setDayCount(Object.values(counter));\n\n    // set start day and length\n    dates = dates.map((d) => { return new Date(d); });\n    let maxDate = new Date(Math.max.apply(null, dates));\n    let minDate = new Date(Math.min.apply(null, dates));\n    setStartDay(minDate);\n    setDayLength(Math.max((maxDate - minDate) / 60 / 60 / 24 / 1000 * 3.6, 700));\n\n    // set geo locations\n    setGeo(new_geo);\n  }, [tracks]);\n\n  /**\n   * Icons for displaying episodes in the vertical timeline\n   */\n  const icon_map = {\n    purchase: 'pi pi-amazon',\n    books: 'pi pi-book',\n    streaming: 'pi pi-youtube',\n    places: 'pi pi-map',\n    exercise: 'pi pi-heart-fill',\n    trips: 'pi pi-car',\n    photos: 'pi pi-instagram'\n  }\n\n  /**\n   * Icon colors from https://coolors.co/palette/ffbe0b-fb5607-ff006e-8338ec-3a86ff\n   */\n  const icon_color_map = {\n    purchase: '#ffbe0b',\n    books: '#3a86ff',\n    streaming: '#ff006e',\n    places: '#8338ec',\n    trips: '#ff006e',\n    exercise: '#fb5607',\n    photos: '#3a86ff'\n  }\n\n  /**\n   * Map an element (episode) to an event in the vertical timeline.\n   * @param {String} track_name - name of the track\n   * @param {Object} element - the episode\n   * @returns A timeline event\n   */\n  const element_to_event = (track_name, element) => {\n    let data = element.data;\n    let event = {\n      title: element.title, date: element.start.toString(),\n      icon: icon_map[track_name],\n      color: icon_color_map[track_name]\n    };\n\n    // summarization\n    if (data.instructions) {\n      event.summary = data.instructions;\n    }\n\n    if (data.summary) {\n      event.summary = data.summary;\n    }\n\n    if (data.video_url) {\n      event.video = data.video_url;\n    }\n\n    // Digital data: images, kindle and spotify\n    if (data.img_url) { \n      // Modify the image url to point to the right place\n      const urlArray = data.img_url.split(\"/\");\n      urlArray[1] = \"digital_data\"\n      event.image = urlArray.slice(1).join(\"/\");\n    } else if (data.start_lat && data.start_long) {\n      event.lat = data.start_lat;\n      event.long = data.start_long;\n    }\n\n    if (data.spotify_link && data.spotify_link !== \"\") { event.spotify = data.spotify_link; }\n\n    event.data = data;\n    return event;\n  }\n\n  /**\n   * useEffect hooks for updating the events to be shown on the timeline\n   * when selected data range changes.\n   */\n  useEffect(() => {\n    let new_events = [];\n    let new_geo = [];\n    let [start, end] = [startDay, addDays(startDay, 180)];\n    if (selectedDateRange && selectedDateRange.length == 2) {\n      [start, end] = selectedDateRange;\n      if (end === null) {\n        end = addDays(start, 1);\n      }\n    }\n\n    for (let tid = 0; tid < tracks.length; tid++) {\n      for (let eid = 0; eid < tracks[tid].elements.length; eid++) {\n        let element = tracks[tid].elements[eid];\n        if (element.start.getTime() >= start.getTime() && element.start.getTime() <= end.getTime()) {\n          let event = element_to_event(tracks[tid].title, element);\n          new_events.push(event);\n\n          // update geo\n          if (element.lat && element.long) {\n            new_geo.push(element);\n          }\n        }\n      }\n    }\n\n    // update vertical timeline view\n    // no more than 500 events\n    new_events.sort((a, b) => {\n      let a_time = new Date(a.date).getTime();\n      let b_time = new Date(b.date).getTime();\n      return a_time - b_time;\n    });\n    // setEvents(new_events.slice(0, 500));\n    setEvents(new_events);\n\n    // update geo view\n    setGeo(new_geo);\n  }, [selectedDateRange]);\n\n  /**\n   * Handler for user entering command.\n   *\n   * @param {String} text - the input question or command (e.g., clear)\n   */\n  const commandHandler = (text) => {\n    let argsIndex = text.indexOf(' ');\n    let command = argsIndex !== -1 ? text.substring(0, argsIndex) : text;\n\n    switch (command) {\n      case 'clear':\n        TerminalService.emit('clear');\n        break;\n\n      default:\n        TerminalService.emit('response', 'Running...');\n        setRunning(true);\n        let data_source = 'digital';\n\n        // send queries to the backend\n        fetch(config.API_URL + \"/query?\" + new URLSearchParams({\n          query: text,\n          source: data_source,\n          qa: qa\n        })).then((response) => response.json())\n          .then((data) => {\n            console.log(data);\n            setAnswer(data);\n\n            if (data.sources) {\n              let new_selected_ids = []\n              for (let i = 0; i < data.sources.length; i++) {\n                let source = data.sources[i];\n                if (source.id) {\n                  new_selected_ids.push(source.id);\n                }\n              }\n              setSelectedIDs(new_selected_ids);\n            }\n\n            TerminalService.emit('response', (data.answer ? data.method + \": \" + data.answer : 'Done!'));\n            setActiveIndex(view_name_mp[\"retrieval_result\"]);\n            setRunning(false);\n          });\n        break;\n    }\n  }\n\n  /**\n   * useEffect hooks for the QA dialog box.\n   */\n  useEffect(() => {\n    TerminalService.on('command', commandHandler);\n    return () => {\n      TerminalService.off('command', commandHandler);\n    };\n  }, [qa]);\n\n  /**\n   * For displaying counts (for different episode types) on the heatmap view.\n   * @param {Object} data\n   * @returns {String} the count string\n   */\n  const showCount = (data) => {\n    let res = `${data.date}`;\n    for (let key in data) {\n      if (!(['row', 'column', 'index', 'count'].includes(key)) &&\n        Number.isInteger(data[key]) &&\n        data[key] > 0) {\n        res += ` ${key}: ${data[key]}`;\n      }\n    }\n    return res\n  }\n\n  /**\n   * For showing markers on the vertical timeline.\n   * @param {Object} item\n   * @returns\n   */\n  const customizedMarker = (item) => {\n    return (\n      <span className=\"flex w-2rem h-2rem align-items-center justify-content-center text-white border-circle z-1 shadow-1\" style={{ backgroundColor: item.color }}>\n        <i className={item.icon}></i>\n      </span>\n    );\n  };\n\n  /**\n   * The show more button for summaries\n   * @param {Text} prop.summary - the summary\n   * @returns\n   */\n  const ShowMore = (prop) => {\n    let summary = prop.summary;\n    const [more, setMore] = useState(false);\n\n    return <div className='p-chip p-chip-text overflow-x-auto' style={{ width: '100%', maxHeight: '160px' }}>\n      {summary.length >= 200 && !more ? <p> {summary.slice(0, 200) + ' '} <Button size=\"sm\" className=\"m-0 p-0 text-black-alpha-80\" label=\"... See More\" link onClick={() => {\n        setMore(true);\n      }} /> </p> : summary}\n    </div>;\n  }\n\n  /**\n   * The lazy loading video class.\n   */\n  const Video_ = (props) => {\n    const videoRef = useRef(props.video_path);\n\n    const useIntersectionObserver = (ref, options) => {\n      const [isIntersecting, setIsIntersecting] = React.useState(false);\n\n      React.useEffect(() => {\n        const observer = new IntersectionObserver(([entry]) => {\n          setIsIntersecting(entry.isIntersecting);\n        }, options);\n\n        if (ref.current) {\n          observer.observe(ref.current);\n        }\n\n        return () => {\n          try {\n            observer.unobserve(ref.current);\n          } catch (e) {\n            console.log(e);\n          }\n        };\n      }, []);\n\n      return isIntersecting;\n    };\n\n    const shouldLoadVideo = useIntersectionObserver(videoRef, { threshold: 0.5 });\n      return (\n            <div ref={videoRef}>\n              {shouldLoadVideo && (\n                          <video className=\"my-2\" width=\"100%\" autoPlay>\n                          <source src={props.video_path} type=\"video/mp4\" />\n                        </video>\n              )}\n            </div>\n          );\n  };\n\n  /**\n   * Displaying one episode in the timeline.\n   * @param {Object} item - the event to be displayed\n   * @returns\n   */\n  const customizedContent_v2 = (item) => {\n    return (\n      <Card title={item.title} subTitle={item.date} className='mb-3 shadow-3'>\n        {item.summary && <ShowMore summary={item.summary} />}\n        {item.image && <Image src={`${item.image}`} alt={item.name} height={200} width={200} className=\"shadow-1\" preview />}\n        {item.spotify &&\n          <iframe style={{ \"borderRadius\": \"12px\" }} src={item.spotify.replace('/track/', '/embed/track/')}\n            width=\"200\" height=\"200\" frameBorder=\"0\" allow=\"autoplay;\n                clipboard-write; encrypted-media; fullscreen; picture-in-picture\" loading=\"lazy\"\n          />\n        }\n        {item.video && events.length <= 100 &&\n          <Video_ video_path={item.video}/>}\n\n        {item.data.speech && item.data.speech.length >= 100 &&\n          <Button className=\"my-2\" label=\"Conversation\" link onClick={() => {\n            setShowSpeech(true);\n            setCurrentSpeech(item.data.speech);}}/>\n        }\n\n        {item.lat && item.long && <GoogleMapComponent geo={[item]} height=\"13vh\" width=\"13vh\" \n          setSelectedDateRange={setSelectedDateRange} setSelectedIDs={setSelectedIDs} />\n        }\n\n        {item.data.exercise_text &&\n          <Button className=\"my-2\" label=\"Exercise\" link onClick={() => {\n            setShowSpeech(true);\n            setCurrentSpeech(item.data.exercise_text);}}/>\n        }\n\n        <div>\n        <Button className=\"my-2\" label=\"More details\" link onClick={() => {\n          setWorldState(item.data);\n          setActiveIndex(view_name_mp[\"details\"]);\n        }} />\n        </div>\n      </Card>\n    );\n  };\n  /**\n   * For QA, given the array of episode ID's, select and display episodes from different tracks.\n   * @param {Array} sources - ID's of the supporting episodes\n   * @returns The events ready to be displayed.\n   */\n  const source_to_events = (sources) => {\n    let res = []\n    let source_ids = []\n    for (let i = 0; i < sources.length; i++) {\n      source_ids.push(sources[i].id);\n    }\n\n    for (let i = 0; i < tracks.length; i++) {\n      for (let j = 0; j < tracks[i].elements.length; j++) {\n        if (source_ids.includes(tracks[i].elements[j].id)) {\n          res.push(element_to_event(tracks[i].title, tracks[i].elements[j]));\n        }\n      }\n    }\n    return res;\n  }\n\n  const events_to_timeline = (tracks, selectedDateRange, selectedTrack, sources) => {\n\n    let [start, end] = [startDay, today];\n    if (selectedDateRange && selectedDateRange.length == 2) {\n      [start, end] = selectedDateRange;\n      if (end === null) {\n        end = addDays(start, 1);\n      }\n    }\n\n    // collect events\n    // start/end dates\n    let events = [];\n    if (sources) {\n      events = source_to_events(sources);\n    } else {\n      for (let i = 0; i < tracks.length; i++) {\n        // console.log(selectedTrack);\n        if (selectedTrack && tracks[i].title !== selectedTrack.name) {\n          continue;\n        }\n        for (let j = 0; j < tracks[i].elements.length; j++) {\n          let element = tracks[i].elements[j];\n          if (element.start.getTime() >= start.getTime() && element.start.getTime() <= end.getTime()) {\n            events.push(element_to_event(tracks[i].title, tracks[i].elements[j]));\n          }\n        }\n      }\n\n      events.sort((a, b) => {\n        let a_time = new Date(a.date).getTime();\n        let b_time = new Date(b.date).getTime();\n        return a_time - b_time;\n      });\n    }\n\n    // year, month, day\n    let new_events = []\n    for (let i = 0; i < events.length; i++) {\n      // if not same year\n      if (i === 0 || new Date(events[i].date).getFullYear() !== new Date(events[i-1].date).getFullYear()) {\n        new_events.push({\"year\": new Date(events[i].date).getFullYear()});\n      }\n\n      if (i === 0 || new Date(events[i].date).getMonth() !== new Date(events[i-1].date).getMonth()) {\n        new_events.push({\"month\": new Date(events[i].date).getMonth()});\n      }\n\n      if (i === 0 || new Date(events[i].date).getDate() !== new Date(events[i-1].date).getDate()) {\n        new_events.push({\"day\": new Date(events[i].date).toDateString()});\n      }\n\n      new_events.push(events[i]);\n    }\n\n    let to_content = (_input) => {\n      return <div>\n      {\"year\" in _input &&  <> <h3> <i className='pi pi-calendar-plus' /> Year {_input.year}</h3></>}\n      {\"month\" in _input && <><Divider className='my-3'/> <h3>{[\"January\", \"February\", \"March\",\n    \"April\", \"May\", \"June\",\n    \"July\", \"August\", \"September\",\n    \"October\", \"November\", \"December\"][_input.month]}</h3></>}\n      {\"day\" in _input && <><Divider className='my-3'/><h3>{_input.day}</h3></>}\n      {\"title\" in _input && customizedContent_v2(_input)}\n      </div>;\n    }\n\n    const onPageChange = (event) => {\n      setPaginatorFirst(event.first);\n      setPaginatorRows(event.rows);\n  };\n    \n    return <div>{new_events.slice(paginatorFirst, paginatorFirst + paginatorRows).map(to_content)}\n      <Paginator first={paginatorFirst} rows={paginatorRows} \n        totalRecords={new_events.length} \n        rowsPerPageOptions={[50, 100, 200]} \n        onPageChange={onPageChange} />\n    </div>\n  }\n\n  const generate_summaries = (tracks) => {\n    let [start, end] = [startDay, today];\n    if (selectedDateRange && selectedDateRange.length == 2) {\n      [start, end] = selectedDateRange;\n      if (end === null) {\n        end = addDays(start, 1);\n      }\n    }\n\n    let purchase = [];\n    let places = [];\n    let books = [];\n    let streaming = []\n\n    for (let i = 0; i < tracks.length; i++) {\n      for (let j = 0; j < tracks[i].elements.length; j++) {\n        let element = tracks[i].elements[j];\n        if (element.start.getTime() >= start.getTime() && element.start.getTime() <= end.getTime()) {\n          let event = element_to_event(tracks[i].title, element);\n          if (tracks[i].title === 'purchase') {\n            purchase.push(event);\n          } else if (tracks[i].title === 'streaming' && event.spotify) {\n            streaming.push(event);\n          } else if (tracks[i].title === 'places') {\n            places.push(event);\n          } else if (tracks[i].title === 'books') {\n            books.push(event);\n          }\n        }\n      }\n    }\n\n    // purchase\n    return <>\n    {places.length > 0 && <Card title=\"Places you visited\" className='mb-3 shadow-3'>\n      <div style={{width: \"500px\"}}><GoogleMapComponent geo={places} height=\"20vh\" width=\"47vh\" \n                setSelectedDateRange={setSelectedDateRange} setSelectedIDs={setSelectedIDs}/>\n      </div>      \n      {/* <div className=\"grid\">\n      {places.slice(0, 8).map((event) => {\n        return <div className=\"col-fixed mx-3 my-3\" style={{width: \"150px\"}}><GoogleMapComponent geo={[event]} height=\"10vh\" width=\"10vh\" \n                setSelectedDateRange={setSelectedDateRange} setSelectedIDs={setSelectedIDs}/>\n               </div>;\n      }\n      )}      \n      </div> */}\n    </Card>}\n\n    {books.length > 0 && <Card title=\"Books you read\" className='mb-3 shadow-3'>\n      <div className=\"grid\">\n      {books.slice(0, 12).map((item) => {\n        return <div className=\"col-fixed mx-2 my-2\" style={{width: \"100px\"}}>\n        {item.image && <Image src={`${item.image}`} alt={item.name} height={100} width={100} className=\"shadow-1\" preview />}\n               </div>;\n      }\n      )}      \n      </div>\n    </Card>}\n\n    {purchase.length > 0 && <Card title=\"Purchases you made\" className='mb-3 shadow-3'>\n      {purchase.slice(0, 7).map((event) => {return <><Divider/>\n        {event.title}\n      </>})}\n    </Card>}\n\n    {streaming.length > 0 && <Card title=\"Content you stream\" className='mb-3 shadow-3'>\n    <div className=\"grid\">\n      {streaming.slice(0, 9).map((item) => {\n                return <div className=\"col-fixed mx-2 my-2\" style={{width: \"200px\"}}>\n                <iframe style={{ \"borderRadius\": \"12px\" }} src={item.spotify.replace('/track/', '/embed/track/')}\n            width=\"200\" height=\"200\" frameBorder=\"0\" allow=\"autoplay;\n                clipboard-write; encrypted-media; fullscreen; picture-in-picture\" loading=\"lazy\"/>\n                       </div>;\n        })}\n      </div>\n    </Card>}\n\n    </>;\n  }\n\n  const copyToClipboard = async (textToCopy) => {\n    // Navigator clipboard api needs a secure context (https)\n    if (navigator.clipboard && window.isSecureContext) {\n        await navigator.clipboard.writeText(textToCopy);\n    } else {\n        // Use the 'out of viewport hidden text area' trick\n        const textArea = document.createElement(\"textarea\");\n        textArea.value = textToCopy;\n\n        // Move textarea out of the viewport so it's not visible\n        textArea.style.position = \"absolute\";\n        textArea.style.left = \"-999999px\";\n\n        document.body.prepend(textArea);\n        textArea.select();\n\n        try {\n            document.execCommand('copy');\n        } catch (error) {\n            console.error(error);\n        } finally {\n            textArea.remove();\n        }\n    };\n  }\n\n  useEffect(() => { importDigitalData(tracks, setTracks, setSelectedDateRange, toast); }, []);\n  \n  return (\n    <div className=\"App\">\n      {/* For message (success, fail) display */}\n      <Toast ref={toast}></Toast>\n\n      <h1 className=\"my-0 title\">Personal Timeline</h1>\n      <h3 className=\"font-light\">Research by Meta AI</h3>\n      <Divider className='my-3'/>\n\n      <h2 className=\"\">Query your personal timeline</h2>\n      {/* QA dialog box */}\n      <div class=\"grid\">\n      <div class=\"col-fixed mr-6\" style={{width: '800px'}}>\n      <p>Enter a question or \"<strong>clear</strong>\" to clear all commands.</p>\n      <div className=\"flex flex-wrap gap-3 my-3\">\n        {qa_methods.map((method) => {\n          return <div className=\"flex align-items-center\">\n            <RadioButton value={method} onChange={(e) => { setQA(e.value) }} checked={qa === method} />\n            <label className=\"ml-2\">{method}</label>\n          </div>;\n        })}\n        {/* <div className=\"flex align-items-center\">\n                    <RadioButton value=\"View-based\" onChange={(e) => setQA(e.value)} checked={qa === 'View-based'} />\n                    <label className=\"ml-2\">View-based</label>\n                </div> */}\n      </div>\n      <span className='my-2'> {sampleQuestions.map((q) => {return <Button className='mx-2 my-1 p-chip p-chip-text overflow-x-auto' label={q} onClick={() =>\n        {\n          if (qa === null) {\n            setQA('Retrieval-based');\n          }\n          // navigator.clipboard.writeText(q);\n          copyToClipboard(q);\n          toast.current.show({ severity: 'success', summary: 'Success', detail: 'Copied to clipboard!' });\n        }}/> }) } </span>\n      <div class=\"terminal-demo\">\n      <Terminal className=\"text-lg line-height-3\" style={{ maxWidth: '800px', height: '500px' }} welcomeMessage=\"Welcome to TL-QA\" prompt=\"TL-QA $\" />\n      </div>\n      <ProgressBar mode=\"indeterminate\" style={{ maxWidth: '800px', height: '6px', display: running ? '' : 'none' }}></ProgressBar>\n      </div>\n\n      {/* Container for all the detailed views */}\n      <div class=\"col-fixed\" style={{width: '800px'}}>\n      <TabView className=\"my-3\" style={{ maxWidth: '800px' }}\n        activeIndex={activeIndex} onTabChange={(e) => setActiveIndex(e.index)}>\n\n        {/* QA result */}\n        <TabPanel header=\"Query result\" style={{ maxWidth: '800px' }}>\n          <p className=\"m-0\">\n            <SyntaxHighlighter language=\"javascript\" style={coy}>\n              {JSON.stringify(answer, null, 2)}\n            </SyntaxHighlighter>\n          </p>\n        </TabPanel>\n\n        {/* Retrieval results (for supporting evidence) */}\n        <TabPanel header=\"Retrieval Results\" style={{ maxWidth: '800px' }}>\n          {answer.sources && <div className='card overflow-auto' style={{ maxHeight: '700px' }}>\n            {events_to_timeline(tracks, null, null, answer.sources)}\n          </div>}\n        </TabPanel>\n\n        {/* Displaying geo locations on GoogleMap */}\n        <TabPanel header=\"Map\" style={{ maxWidth: '800px' }}>\n          <GoogleMapComponent geo={geo} height=\"36vh\" setSelectedDateRange={setSelectedDateRange} setSelectedIDs={setSelectedIDs} />\n        </TabPanel>\n\n        {/* Displaying the raw JSON object for an episode */}\n        <TabPanel header=\"Details\" style={{ maxWidth: '800px' }}>\n          <SyntaxHighlighter language=\"javascript\" style={coy}>\n            {JSON.stringify(worldState, null, 2)}\n          </SyntaxHighlighter>\n        </TabPanel>\n\n      </TabView>\n      </div>\n      </div>\n\n      <Divider className='my-5'/>\n      <h2 className=\"my-5\">Your personal timeline</h2>\n\n      <div class=\"grid\">\n      <div class=\"col-fixed mr-6\" style={{width: '800px'}}>\n\n      <Toolbar start={<span className=\"p-float-label\">\n      <Calendar className=\"mr-4\" inputId=\"date_range\" value={selectedDateRange} onChange={(e) => {\n          setSelectedDateRange(e.value);\n        }} selectionMode=\"range\" readOnlyInput />\n      <label htmlFor=\"date_range\">Date Range</label>\n      </span>} \n      \n      end={      <Dropdown value={selectedTrack} onChange={(e) => setSelectedTrack(e.value)} options={ Object.keys(icon_map).map((option) => {return {name: option}}) } optionLabel=\"name\" \n      placeholder=\"All Events\" showClear className=\"w-full md:w-14rem\" />} />\n\n      {/* For selecting date range */}\n      \n              {/* The vertical timeline */}\n        <Card className='card overflow-auto' >\n          <div style={{ maxWidth: '800px', maxHeight: '2500px' }}>\n            {/* {<Timeline value={events} align=\"alternate\" className=\"customized-timeline\" marker={customizedMarker} content={customizedContent} />} */}\n            {events_to_timeline(tracks, selectedDateRange, selectedTrack, null)}\n          </div>\n        </Card>\n      </div>\n\n      <div class=\"col-fixed\" style={{width: '800px'}}>\n        {/* Summaries */}\n        {generate_summaries(tracks)}\n        \n        <Card title=\"Heatmap\" className='shadow-3'>\n          <div className='card overflow-x-auto'>\n            <HeatMap\n              className='text-sm'\n              value={dayCount}\n              width={dayLength}\n              startDate={selectedDateRange ? addDays(selectedDateRange[0], -120) : startDay}\n              endDate={selectedDateRange ? addDays(selectedDateRange[1] ? selectedDateRange[1] : selectedDateRange[0], 120) : today}\n              // startDate={startDay}\n              // endDate={today}\n              rectSize={20}\n              space={4}\n              legendCellSize={0}\n              rectRender={(props, data) => {\n                return (\n                  <rect className={'rect' + data.date.replaceAll('/', '_')} {...props} onClick={() => {\n                    let start = new Date(data.date);\n                    let end = addDays(start, 1);\n                    setSelectedDateRange([start, end]);\n                  }}>\n                    {data.count > 0 && <Tooltip target={'.rect' + data.date.replaceAll('/', '_')} placement=\"top\" content={showCount(data)} />}\n                  </rect>\n                );\n              }}\n              style={{ height: 200 }}\n            />\n          </div>\n        </Card>\n      </div>\n\n      </div>\n    </div>\n  );\n}\n\nexport default App;\n"
  },
  {
    "path": "src/frontend/src/App.test.js",
    "content": "/*\n * Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n\nimport { render, screen } from '@testing-library/react';\nimport App from './App';\n\ntest('renders learn react link', () => {\n  render(<App />);\n  const linkElement = screen.getByText(/learn react/i);\n  expect(linkElement).toBeInTheDocument();\n});\n"
  },
  {
    "path": "src/frontend/src/Constants.js",
    "content": "/*\n * Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n\nconst prod = {\n    API_URL: 'http://localhost:8085'\n};\n\nconst dev = {\n    API_URL: 'http://localhost:8085'\n};\n\nexport const config = process.env.NODE_ENV === 'development' ? dev : prod;\n"
  },
  {
    "path": "src/frontend/src/index.css",
    "content": "body {\n  margin: 0;\n  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen',\n    'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue',\n    sans-serif;\n  -webkit-font-smoothing: antialiased;\n  -moz-osx-font-smoothing: grayscale;\n}\n\ncode {\n  font-family: source-code-pro, Menlo, Monaco, Consolas, 'Courier New',\n    monospace;\n}\n"
  },
  {
    "path": "src/frontend/src/index.js",
    "content": "/*\n * Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n\nimport React from 'react';\nimport ReactDOM from 'react-dom/client';\nimport './index.css';\nimport 'primereact/resources/themes/lara-light-indigo/theme.css';   // theme\nimport 'primereact/resources/primereact.css';                       // core css\nimport 'primeicons/primeicons.css';                                 // icons\nimport 'primeflex/primeflex.css';                                   // css utility\nimport App from './App';\nimport reportWebVitals from './reportWebVitals';\n\nconst root = ReactDOM.createRoot(document.getElementById('root'));\nroot.render(\n  <React.StrictMode>\n    <App />\n  </React.StrictMode>\n);\n\n// If you want to start measuring performance in your app, pass a function\n// to log results (for example: reportWebVitals(console.log))\n// or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals\nreportWebVitals();\n"
  },
  {
    "path": "src/frontend/src/map/GoogleMapComponent.js",
    "content": "/*\n * Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\nimport React, { useCallback, useEffect, useRef, useState } from \"react\";\nimport { GoogleMap, useLoadScript } from \"@react-google-maps/api\";\nimport PlaceInfo from \"./PlaceInfo\";\n\nconst libraries = [\"places\"];\n\nconst options = {\n  disableDefaultUI: true,\n  zoomControl: true\n};\n\nexport default function GoogleMapComponent(props) {\n  console.log(process.env);\n\n  const { isLoaded, loadError } = useLoadScript({\n    googleMapsApiKey: process.env[\"REACT_APP_GOOGLE_MAP_API\"],\n    libraries\n  });\n\n  const [selectedCenter, setSelectedCenter] = useState(null);\n\n  const mapRef = useRef();\n\n  const onMapLoad = useCallback((map) => {\n    mapRef.current = map;\n  }, []);\n\n  useEffect(() => { setSelectedCenter(null) }, [props.geo]);\n\n  if (loadError) return \"Error\";\n  if (!isLoaded) return \"Loading...\";\n\n  return (\n    <GoogleMap\n      id=\"map\"\n      mapContainerStyle={{height: props.height, width: props.width || \"100%\"}}\n      zoom={14}\n      center={\n        selectedCenter ? {\n          lat: selectedCenter.lat,\n          lng: selectedCenter.long\n        } : (props.geo && props.geo.length > 0) ? {\n          lat: props.geo[0].lat,\n          lng: props.geo[0].long,\n        } : {\n          lat: 47.6062,\n          lng: -122.3321\n        }\n    } // TODO: auto-select center based on props.geo\n      options={options}\n      onLoad={onMapLoad}\n    >\n      <PlaceInfo geo={props.geo} \n        setSelectedDateRange={props.setSelectedDateRange} \n        setSelectedCenter={setSelectedCenter}\n        setSelectedIDs={props.setSelectedIDs}/>\n    </GoogleMap>\n  );\n}\n"
  },
  {
    "path": "src/frontend/src/map/PlaceInfo.js",
    "content": "/*\n * Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n\nimport React, { useState, useEffect } from \"react\";\nimport { MarkerF, InfoWindowF } from \"@react-google-maps/api\";\nimport { Button } from 'primereact/button';\nimport { addDays } from \"../timeline/builders\";\n\nexport default function PlaceInfo(props) {\n  const [places, setPlaces] = useState([\n    {\n      start: new Date(),\n      lat: 35.64860429083234, \n      long: 138.57693376912908\n    },\n    {\n      start: new Date(),\n      lat: 35.658687875856664, \n      long: 138.56954332425778\n    },\n    {\n      start: new Date(),\n      lat: 35.66014231235642, \n      long: 138.57494260883726\n    }\n  ]);\n\n  useEffect(() => { setPlaces(props.geo.slice(0, 100)); }, [props.geo])\n\n  const [selected, setSelected] = useState(null);\n\n  return (\n    <>\n      {places.map((marker, index) => (\n        <MarkerF\n          key={`marker_${index}`}\n          position={{\n            lat: marker.lat,\n            lng: marker.long\n          }}\n          onMouseOver={() => {\n            setSelected(marker);\n          }}\n        />\n      ))}\n\n      {selected ? (\n        <InfoWindowF\n          position={{\n            lat: selected.lat,\n            lng: selected.long\n          }}\n          onCloseClick={() => {\n            setSelected(null);\n          }}\n        >\n          <div>\n            <Button className=\"justify-content-center p-1 border-noround\" label={selected.title} link \n              onClick={() => {\n                return null;\n              }} />\n          </div>\n        </InfoWindowF>\n      ) : null}\n    </>\n  );\n}\n"
  },
  {
    "path": "src/frontend/src/reportWebVitals.js",
    "content": "/*\n * Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n\nconst reportWebVitals = onPerfEntry => {\n  if (onPerfEntry && onPerfEntry instanceof Function) {\n    import('web-vitals').then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => {\n      getCLS(onPerfEntry);\n      getFID(onPerfEntry);\n      getFCP(onPerfEntry);\n      getLCP(onPerfEntry);\n      getTTFB(onPerfEntry);\n    });\n  }\n};\n\nexport default reportWebVitals;\n"
  },
  {
    "path": "src/frontend/src/service/DigitalDataImportor.js",
    "content": "/*\n * Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n\nimport { buildElement, addDays } from '../timeline/builders';\nimport { config } from '../Constants';\n\n/**\n * Import digital data from local JSONs.\n */\nconst importDigitalData = (tracks, setTracks, setSelectedDateRange, toast) => {\n    return Promise.resolve(_importDigitalData(tracks, setTracks, setSelectedDateRange, toast));\n};\n\nconst _importDigitalData = async (tracks, setTracks, setSelectedDateRange, toast) => {\n    let data_sources = ['books.json', 'exercise.json', 'purchase.json', 'streaming.json', 'places.json', 'trips.json', 'photos.json'];\n    let new_tracks = [...tracks]\n    let dates = [];\n\n    for (let data_id = 0; data_id < data_sources.length; data_id++) {\n      let data = null;\n\n      try {\n        data = await (\n          // await fetch('digital_data/app_data/' + data_sources[data_id])\n          // Fetching the data from the personal-data folder\n          await fetch('digital_data/personal-data/app_data/' + data_sources[data_id])\n        ).json();\n      } catch (error) {\n        data = await (\n          await fetch('digital_data/' + data_sources[data_id].replace('.json', '.sampled.json'))\n        ).json();\n      }\n      \n      let track_name = data_sources[data_id].split('.')[0];\n      let trackId = data_id + 5;\n      let elements = [];\n\n      for (let i = 0; i < data.length; i++) {\n        // remove duplicate records\n        if (data[i].textDescription === 'from Google Photo') {\n          continue;\n        }\n\n        let start = null;\n        let end = null;\n        if (data[i].start_time) {\n          start = new Date(data[i].start_time);\n          end = new Date(data[i].end_time);\n        } else {\n          start = new Date(data[i].time);\n          end = addDays(start, 0.25);\n        }\n        dates.push(start);\n\n        let elem = buildElement({trackId, start, end, i});\n\n        // copy key-values\n        if (data[i].id) {\n          elem.id = data[i].id;\n        }\n        elem.data = data[i];\n\n        if ('book_name' in data[i]) {\n          elem.title = data[i].book_name;\n        } else if ('country' in data[i]) {\n          elem.title = data[i].country + ' ' + data[i].states_provinces;\n        } else if ('textDescription' in data[i]) {\n          elem.title = data[i].textDescription;\n        } else if ('productName' in data[i]) {\n          elem.title = data[i].productName;\n        } else if ('artist' in data[i]) {\n          elem.title = data[i].artist;\n        }\n  \n        if (data[i].start_lat && data[i].start_long) {\n          elem.lat = parseFloat(data[i].start_lat);\n          elem.long = parseFloat(data[i].start_long);\n        } else if (data[i].lat && data[i].long) {\n          elem.lat = parseFloat(data[i].lat);\n          elem.long = parseFloat(data[i].long);\n        }\n        elements.push(elem);\n      }\n\n      // sort elements\n      elements.sort((a, b) => { \n        let a_time = new Date(a.start).getTime();\n        let b_time = new Date(b.start).getTime();\n        return a_time - b_time;\n      });\n\n      let track = {\n        id: trackId,\n        title: track_name,\n        elements: elements,\n        tracks: null,\n        isOpen: false\n      };\n      \n      // const subtrack = { ...track };\n      // subtrack.id = 'subtrack';\n      // subtrack.name = 'subtrack';\n      // track.tracks = [subtrack];\n  \n      if (new_tracks.filter(item => item.id === trackId).length === 0) {\n        new_tracks.push(track);\n      }  \n    }\n\n    let maxDate = new Date(Math.max.apply(null, dates));\n    let minDate = new Date(Math.min.apply(null, dates));\n    // maxDate = new Date(Math.min.apply(null, [addDays(minDate, 180), maxDate]))\n    setSelectedDateRange([minDate, maxDate]);\n\n    setTracks(new_tracks)\n    toast.current.show({ severity: 'success', summary: 'Success', detail: 'Digital Data Uploaded' });\n    // launch QA engine\n    fetch(config.API_URL + \"/launch?\" + new URLSearchParams({dataset: \"Digital\"})).then((response) => response.json())\n    .then((data) => {\n      toast.current.show({ severity: 'success', summary: 'Success', detail: 'QA engine for Digital Data is ready!' });\n    }).catch(error => {\n      toast.current.show({ severity: 'error', summary: 'Error', detail: 'QA Engine not loaded.' });\n    })\n};\n\nexport default importDigitalData;\n"
  },
  {
    "path": "src/frontend/src/setupTests.js",
    "content": "/*\n * Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n\n// jest-dom adds custom jest matchers for asserting on DOM nodes.\n// allows you to do things like:\n// expect(element).toHaveTextContent(/react/i)\n// learn more: https://github.com/testing-library/jest-dom\nimport '@testing-library/jest-dom';\n"
  },
  {
    "path": "src/frontend/src/timeline/EpiTimeline.js",
    "content": "/*\n * Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n\nimport React, { useEffect, useState } from \"react\";\nimport Timeline from \"react-timelines\";\n\nimport \"react-timelines/lib/css/style.css\";\n\nimport { buildTimebar, addDays } from \"./builders\";\n\n\nconst MIN_ZOOM = 2;\nconst MAX_ZOOM = 512;\n\nfunction EpiTimeline(props) {\n\n  /**\n   * Control whether a track is open or not (not in use for now)\n   */\n  const [open, setOpen] = useState(false);\n\n  /**\n   * Handling track toggling (not in use for now)\n   */\n  const handleToggleOpen = () => {\n    setOpen(!open);\n  };\n\n  useEffect(() => {\n    let [start, end] = [props.startDay, new Date()];\n    if (props.selectedDateRange && props.selectedDateRange.length == 2) {\n      [start, end] = props.selectedDateRange;\n      if (end === null) {\n        end = addDays(start, 1);\n      }\n    }\n    \n    let day_diff = (end.getTime() - start.getTime()) / 1000 / 60 / 60 / 24;\n    if (day_diff <= 1) {\n      props.setZoom(256);\n    } else if (day_diff <= 7) {\n      props.setZoom(64);\n    } else if (day_diff <= 31) {\n      props.setZoom(8);\n    } else if (day_diff <= 125) {\n      props.setZoom(2);\n    } else {\n      props.setZoom(2);\n    }    \n  }, [props.selectedDateRange]);\n\n  /**\n   * Control what happens when a cell (element) is clicked:\n   * (1) zoom in the the next level\n   * (2) set the start and end day to become the start/end of the clicked element\n   * @param {Object} element\n   */\n  const clickElement = element => {\n    props.setSelectedDateRange([element.start, element.end]);\n  }\n\n  /**\n   * Adjust the top timebar for different zoom levels.\n   * @param {Date} startDay\n   * @param {int} zoom\n   * @returns The two timebars (e.g., days+hours) that we want to display\n   */\n  const adjustTimebar = (startDay, zoom) => {\n    const start_year = startDay.getFullYear() - 1;\n    const all = Object.fromEntries(buildTimebar(start_year).map(x => [x.id, x]));\n    if (zoom < 7) {\n      return [all.quarters, all.months];\n    } else if (zoom < 20) {\n      return [all.months, all.weeks];\n    } else if (zoom < 100) {\n      return [all.weeks, all.days];\n    } else {\n      return [all.days, all.hours];\n    }\n  }\n\n  /**\n   * Zoom-in\n   */\n  const handleZoomIn = () => {\n    props.setZoom(Math.min(props.zoom * 2, MAX_ZOOM));\n  };\n\n  /**\n   * Zoom-out\n   */\n   const handleZoomOut = () => {\n    props.setZoom(Math.max(props.zoom / 2, MIN_ZOOM));\n  };\n\n  /**\n   * Opening a track (not in use now).\n   * @param {Object} track\n   */\n  const handleToggleTrackOpen = track => {\n    let new_tracks = [...props.tracks]\n    for (let i = 0; i < new_tracks.length; i++) {\n      if (new_tracks[i].id === track.id) {\n        new_tracks[i].isOpen = !new_tracks[i].isOpen;\n      }\n    }\n    props.set_tracks(new_tracks);\n  };\n\n  /**\n   * Merge elements of a track into month/week/day/hour-level cells.\n   * @param {Array} tracks - the tracks to be merged\n   * @param {Function} getKey - a function that maps an element to month/week/day/hour\n   * @returns the merged tracks\n   */\n  const mergeTracksByKey = (tracks, getKey) => {\n    let new_tracks = [];\n    // merge to month\n    for (let i = 0; i < tracks.length; i++) {\n      let track = tracks[i];\n      let new_track = {...track};\n      new_track.elements = [];\n\n      for (let j = 0; j < track.elements.length; j++) {\n        if (props.selectedDateRange) {\n          let current_time = track.elements[j].start.getTime();\n          const [start, end] = props.selectedDateRange || [props.startDay, new Date()];\n          // const day_diff = Math.min(30, Math.max(1, (end.getTime() - start.getTime()) / 1000 / 60 / 60 / 24));\n          // const start_time = addDays(start, -day_diff).getTime();\n          // const end_time = addDays(end, +day_diff).getTime();\n          if (current_time < start || (end !== null && current_time > end)) {\n            continue;\n          }\n        }\n\n        let start = track.elements[j].start;\n        let key = getKey(start);\n        if (new_track.elements.length === 0 ||\n          getKey(new_track.elements[new_track.elements.length - 1].start) !== key) {\n          let new_elem = {...track.elements[j]};\n          let [start, end] = key.split('_');\n          new_elem.start = new Date(start);\n          new_elem.end = new Date(end); // addDays(new_elem.start, delta);\n          new_elem.title = \"1\";\n          new_track.elements.push(new_elem);\n        } else {\n          let val = parseInt(new_track.elements[new_track.elements.length - 1].title) + 1;\n          new_track.elements[new_track.elements.length - 1].title = String(val);\n        }\n      }\n\n      new_tracks.push(new_track);\n    }\n    return new_tracks;\n  }\n\n  /**\n   * Merge tracks into month/week/day/hour-level cells depending on the zoom levels.\n   * @param {Array} tracks\n   * @param {int} zoom\n   * @returns\n   */\n  const mergeTracksByZoom = (tracks, zoom) => {\n    if (zoom < 7) {\n      // merge to months\n      let getKey = (date) => {\n        let start = new Date(date);\n        start.setDate(1);\n        let end = new Date(start);\n        end.setMonth(end.getMonth() + 1);\n        // end.setDate(0);\n        return `${start.toDateString()}_${end.toDateString()}`;\n        // return date.getFullYear() * 100 + date.getMonth();\n      }\n      return mergeTracksByKey(tracks, getKey);\n    } else if (zoom < 20) {\n      // merge to week\n      let getKey = (date) => {\n        let start = addDays(date, -date.getDay());\n        let end = addDays(date, 7 - date.getDay());\n        return `${start.toDateString()}_${end.toDateString()}`;\n      }\n      return mergeTracksByKey(tracks, getKey);\n    } else if (zoom < 100) {\n      // merge to day\n      let getKey = (date) => {\n        let start = new Date(date);\n        let end = addDays(start, 1);\n        return `${start.toDateString()}_${end.toDateString()}`;\n      }\n      return mergeTracksByKey(tracks, getKey);\n    } else {\n      let getKey = (date) => {\n        let start = new Date(date);\n        let hour = (start.getHours() >> 1) << 1; // round to 2 hours\n        return `${start.toDateString()} ${hour}:00_${start.toDateString()} ${hour+2}:00`;\n      }\n\n      return mergeTracksByKey(tracks, getKey);\n    }\n  };\n\n  /**\n   * start and end days (also when they are not specified)\n   */\n  // const [start, end] = props.selectedDateRange || [props.startDay, new Date()];\n  const start = props.selectedDateRange ? props.selectedDateRange[0] : props.startDay;\n  const end = props.selectedDateRange ? (props.selectedDateRange[1] || addDays(start, 1)) : new Date();\n  /**\n   * Difference between start and end\n   */\n  const day_diff = Math.min(30, Math.max(1, (end.getTime() - start.getTime()) / 1000 / 60 / 60 / 24));\n\n  return (\n    <div className=\"app\" >\n      <Timeline\n        scale={{\n          start: addDays(start, -day_diff),\n          end: addDays(end, +day_diff),\n          zoom: props.zoom,\n          zoomMin: MIN_ZOOM,\n          zoomMax: MAX_ZOOM\n        }}\n        isOpen={open}\n        toggleOpen={handleToggleOpen}\n        zoomIn={handleZoomIn}\n        zoomOut={handleZoomOut}\n        clickElement={clickElement}\n        clickTrackButton={track => {\n          // eslint-disable-next-line no-alert\n          alert(JSON.stringify(track));\n        }}\n        timebar={adjustTimebar(props.startDay, props.zoom)}\n        tracks={mergeTracksByZoom(props.tracks, props.zoom)}\n        now={end}\n        toggleTrackOpen={handleToggleTrackOpen}\n        enableSticky\n        // scrollToNow\n      />\n    </div>\n  );\n}\n\nexport default EpiTimeline;\n"
  },
  {
    "path": "src/frontend/src/timeline/builders.js",
    "content": "/*\n * Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n\nimport {\n  MONTH_NAMES,\n  MONTHS_PER_YEAR,\n  QUARTERS_PER_YEAR,\n  MONTHS_PER_QUARTER,\n} from \"./constants\";\n  \nimport {\n  hexToRgb,\n  colourIsLight,\n  addMonthsToYear,\n  addMonthsToYearAsDate,\n  nextColor,\n  randomTitle\n} from \"./utils\";\n  \nexport const buildQuarterCells = (START_YEAR, NUM_OF_YEARS) => {\n  const v = [];\n  for (let i = 0; i < QUARTERS_PER_YEAR * NUM_OF_YEARS; i += 1) {\n    const quarter = (i % 4) + 1;\n    const startMonth = i * MONTHS_PER_QUARTER;\n    const s = addMonthsToYear(START_YEAR, startMonth);\n    const e = addMonthsToYear(START_YEAR, startMonth + MONTHS_PER_QUARTER);\n    v.push({\n      id: `${s.year}-q${quarter}`,\n      title: `Q${quarter} ${s.year}`,\n      start: new Date(`${s.year}-${s.month}-01`),\n      end: new Date(`${e.year}-${e.month}-01`)\n    });\n  }\n  return v;\n};\n\nexport const buildMonthCells = (START_YEAR, NUM_OF_YEARS) => {\n  const v = [];\n  for (let i = 0; i < MONTHS_PER_YEAR * NUM_OF_YEARS; i += 1) {\n    const startMonth = i;\n    const start = addMonthsToYearAsDate(START_YEAR, startMonth);\n    const end = addMonthsToYearAsDate(START_YEAR, startMonth + 1);\n    v.push({\n      id: `m${startMonth}`,\n      title: MONTH_NAMES[i % 12],\n      start,\n      end\n    });\n  }\n  return v;\n};\n\nexport const addDays = (date, days) => {\n  var ms = new Date(date).getTime() + 86400000 * days;\n  var result = new Date(ms);\n  return result;\n}\n\nexport const buildHourCells = (START_YEAR, NUM_OF_YEARS) => {\n  const v = [];\n  let start = addMonthsToYearAsDate(START_YEAR, 0);\n  let end = addDays(start, 0.25);\n\n  let last_year = START_YEAR + NUM_OF_YEARS - 1;\n\n  while (start.getFullYear() <= last_year) {\n    v.push({\n      id: `h${start}`,\n      title: `${start.getHours()}`,\n      start,\n      end\n    });\n    start = addDays(start, 0.25);\n    end = addDays(end, 0.25);\n  }\n  return v;\n};\n\nexport const buildDayCells = (START_YEAR, NUM_OF_YEARS) => {\n  const v = [];\n  let start = addMonthsToYearAsDate(START_YEAR, 0);\n  let end = addDays(start, 1);\n\n  let last_year = START_YEAR + NUM_OF_YEARS - 1;\n  const weekday_names = 'UMTWRFS'\n\n  while (start.getFullYear() <= last_year) {\n    v.push({\n      id: `d${start}`,\n      title: `${weekday_names[start.getDay()]}`,\n      start,\n      end\n    });\n    start = addDays(start, 1);\n    end = addDays(end, 1);\n  }\n  return v;\n};\n\nexport const buildWeekCells = (START_YEAR, NUM_OF_YEARS) => {\n  const v = [];\n  let start = addMonthsToYearAsDate(START_YEAR, 0);\n  let end = addDays(start, 7);\n\n  let last_year = START_YEAR + NUM_OF_YEARS - 1;\n\n  while (start.getFullYear() <= last_year) {\n    v.push({\n      id: `w${start}`,\n      title: `${start.getMonth()+1}/${start.getDate()}`,\n      start,\n      end\n    });\n    start = addDays(start, 7);\n    end = addDays(end, 7);\n  }\n  return v;\n};\n\n\nexport const buildTimebar = (START_YEAR) => {\n  let NUM_OF_YEARS = new Date().getFullYear() - START_YEAR + 1;\n  return [\n    {\n      id: \"quarters\",\n      title: \"Quarters\",\n      cells: buildQuarterCells(START_YEAR, NUM_OF_YEARS),\n      style: {}\n    },\n    {\n      id: \"months\",\n      title: \"Months\",\n      cells: buildMonthCells(START_YEAR, NUM_OF_YEARS),\n      useAsGrid: true,\n      style: {}\n    },\n    {\n      id: \"weeks\",\n      title: \"Weeks\",\n      cells: buildWeekCells(START_YEAR, NUM_OF_YEARS),\n      // useAsGrid: true,\n      style: {}\n    },\n    {\n        id: \"days\",\n        title: \"Days\",\n        cells: buildDayCells(START_YEAR, NUM_OF_YEARS),\n        // useAsGrid: true,\n        style: {}\n    },\n    {\n      id: \"hours\",\n      title: \"Hours\",\n      cells: buildHourCells(START_YEAR, NUM_OF_YEARS),\n      // useAsGrid: true,\n      style: {}\n    }  \n  ];\n};\n\nexport const buildElement = ({ trackId, start, end, i }) => {\n  const bgColor = nextColor(trackId);\n  const color = colourIsLight(...hexToRgb(bgColor)) ? \"#000000\" : \"#ffffff\";\n  return {\n    id: `t-${trackId}-el-${i}`,\n    title: randomTitle(),\n    start,\n    end,\n    style: {\n      backgroundColor: `#${bgColor}`,\n      color,\n      borderRadius: \"4px\",\n      boxShadow: \"1px 1px 0px rgba(0, 0, 0, 0.25)\",\n      textTransform: \"capitalize\"\n    }\n  };\n};\n\n// export const buildTrackStartGap = () =>\n//   Math.floor(Math.random() * MAX_TRACK_START_GAP);\n// export const buildElementGap = () =>\n//   Math.floor(Math.random() * MAX_ELEMENT_GAP);\n\n// export const buildElements = trackId => {\n//   const v = [];\n//   let i = 1;\n//   let month = buildTrackStartGap();\n\n//   while (month < NUM_OF_MONTHS) {\n//     let monthSpan =\n//       Math.floor(Math.random() * (MAX_MONTH_SPAN - (MIN_MONTH_SPAN - 1))) +\n//       MIN_MONTH_SPAN;\n\n//     if (month + monthSpan > NUM_OF_MONTHS) {\n//       monthSpan = NUM_OF_MONTHS - month;\n//     }\n\n//     const start = addMonthsToYearAsDate(START_YEAR, month);\n//     const end = addMonthsToYearAsDate(START_YEAR, month + monthSpan);\n//     v.push(\n//       buildElement({\n//         trackId,\n//         start,\n//         end,\n//         i\n//       })\n//     );\n//     const gap = buildElementGap();\n//     month += monthSpan + gap;\n//     i += 1;\n//   }\n\n//   return v;\n// };\n\n// export const buildSubtrack = (trackId, subtrackId) => ({\n//   id: `track-${trackId}-${subtrackId}`,\n//   title: `Subtrack ${subtrackId}`,\n//   elements: buildElements(subtrackId)\n// });\n\n// export const buildTrack = trackId => {\n//   const tracks = fill(Math.floor(Math.random() * MAX_NUM_OF_SUBTRACKS) + 1).map(\n//     i => buildSubtrack(trackId, i + 1)\n//   );\n//   return {\n//     id: `track-${trackId}`,\n//     title: `Track ${trackId}`,\n//     elements: buildElements(trackId),\n//     tracks,\n//     // hasButton: true,\n//     // link: 'www.google.com',\n//     isOpen: false\n//   };\n// };\n"
  },
  {
    "path": "src/frontend/src/timeline/constants.js",
    "content": "/*\n * Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n\nexport const START_YEAR = 2021;\nexport const NUM_OF_YEARS = 3;\nexport const MONTH_NAMES = [\n  \"Jan\",\n  \"Feb\",\n  \"Mar\",\n  \"Apr\",\n  \"May\",\n  \"Jun\",\n  \"Jul\",\n  \"Aug\",\n  \"Sep\",\n  \"Oct\",\n  \"Nov\",\n  \"Dec\"\n];\nexport const MONTHS_PER_YEAR = 12;\nexport const QUARTERS_PER_YEAR = 4;\nexport const MONTHS_PER_QUARTER = 3;\nexport const NUM_OF_MONTHS = NUM_OF_YEARS * MONTHS_PER_YEAR;\nexport const MAX_TRACK_START_GAP = 4;\nexport const MAX_ELEMENT_GAP = 8;\nexport const MAX_MONTH_SPAN = 8;\nexport const MIN_MONTH_SPAN = 2;\nexport const NUM_OF_TRACKS = 3;\nexport const MAX_NUM_OF_SUBTRACKS = 2;\n"
  },
  {
    "path": "src/frontend/src/timeline/utils.js",
    "content": "/*\n * Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n\n/* eslint-disable no-bitwise */\n\nimport { MONTHS_PER_YEAR } from \"./constants\";\n\nexport const fill = n => {\n  const arr = [];\n  for (let i = 0; i < n; i += 1) {\n    arr.push(i);\n  }\n  return arr;\n};\n\n// https://coolors.co/palette/03045e-023e8a-0077b6-0096c7-00b4d8-48cae4-90e0ef-ade8f4-caf0f8\n// https://coolors.co/palette/dad7cd-a3b18a-588157-3a5a40-344e41\n// https://coolors.co/palette/f08080-f4978e-f8ad9d-fbc4ab-ffdab9\n// https://coolors.co/palette/d9ed92-b5e48c-99d98c-76c893-52b69a-34a0a4-168aad-1a759f-1e6091-184e77\n// https://coolors.co/palette/f7b267-f79d65-f4845f-f27059-f25c54\n// https://coolors.co/palette/fec5bb-fcd5ce-fae1dd-f8edeb-e8e8e4-d8e2dc-ece4db-ffe5d9-ffd7ba-fec89a\nconst COLORS_pallettes = [\n  '03045e-023e8a-0077b6-0096c7-00b4d8-48cae4-90e0ef-ade8f4-caf0f8'.split('-'),\n  'dad7cd-a3b18a-588157-3a5a40-344e41'.split('-'),\n  'f08080-f4978e-f8ad9d-fbc4ab-ffdab9'.split('-'),\n  'd9ed92-b5e48c-99d98c-76c893-52b69a-34a0a4-168aad-1a759f-1e6091-184e77'.split('-'),\n  'f7b267-f79d65-f4845f-f27059-f25c54'.split('-'),\n  'fec5bb-fcd5ce-fae1dd-f8edeb-e8e8e4-d8e2dc-ece4db-ffe5d9-ffd7ba-fec89a'.split('-')\n];\n\nconst COLORS = COLORS_pallettes[0];\n\nexport const randomColor = () =>\n  COLORS[Math.floor(Math.random() * COLORS.length)];\n\nlet color = -1;\nexport const nextColor = (key) => {\n  color = (color + 1) % COLORS_pallettes[key % COLORS_pallettes.length].length;\n  return COLORS_pallettes[key % COLORS_pallettes.length][color];\n};\n\nexport const hexToRgb = hex => {\n  const v = parseInt(hex, 16);\n  const r = (v >> 16) & 255;\n  const g = (v >> 8) & 255;\n  const b = v & 255;\n  return [r, g, b];\n};\n\nexport const colourIsLight = (r, g, b) => {\n  const a = 1 - (0.299 * r + 0.587 * g + 0.114 * b) / 255;\n  return a < 0.5;\n};\n\nexport const addMonthsToYear = (year, monthsToAdd) => {\n  let y = year;\n  let m = monthsToAdd;\n  while (m >= MONTHS_PER_YEAR) {\n    m -= MONTHS_PER_YEAR;\n    y += 1;\n  }\n  return { year: y, month: m + 1 };\n};\n\nexport const addMonthsToYearAsDate = (year, monthsToAdd) => {\n  const r = addMonthsToYear(year, monthsToAdd);\n  return new Date(`${r.year}-${r.month}`);\n};\n\n// Credit: https://jsfiddle.net/katowulf/3gtDf/\nconst ADJECTIVES = [\n  \"adamant\",\n  \"adroit\",\n  \"amatory\",\n  \"animistic\",\n  \"antic\",\n  \"arcadian\",\n  \"baleful\",\n  \"bellicose\",\n  \"bilious\",\n  \"boorish\",\n  \"calamitous\",\n  \"caustic\",\n  \"cerulean\",\n  \"comely\",\n  \"concomitant\",\n  \"contumacious\",\n  \"corpulent\",\n  \"crapulous\",\n  \"defamatory\",\n  \"didactic\",\n  \"dilatory\",\n  \"dowdy\",\n  \"efficacious\",\n  \"effulgent\",\n  \"egregious\",\n  \"endemic\",\n  \"equanimous\",\n  \"execrable\",\n  \"fastidious\",\n  \"feckless\",\n  \"fecund\",\n  \"friable\",\n  \"fulsome\",\n  \"garrulous\",\n  \"guileless\",\n  \"gustatory\",\n  \"heuristic\",\n  \"histrionic\",\n  \"hubristic\",\n  \"incendiary\",\n  \"insidious\",\n  \"insolent\",\n  \"intransigent\",\n  \"inveterate\",\n  \"invidious\",\n  \"irksome\",\n  \"jejune\",\n  \"jocular\",\n  \"judicious\",\n  \"lachrymose\",\n  \"limpid\",\n  \"loquacious\",\n  \"luminous\",\n  \"mannered\",\n  \"mendacious\",\n  \"meretricious\",\n  \"minatory\",\n  \"mordant\",\n  \"munificent\",\n  \"nefarious\",\n  \"noxious\",\n  \"obtuse\",\n  \"parsimonious\",\n  \"pendulous\",\n  \"pernicious\",\n  \"pervasive\",\n  \"petulant\",\n  \"platitudinous\",\n  \"precipitate\",\n  \"propitious\",\n  \"puckish\",\n  \"querulous\",\n  \"quiescent\",\n  \"rebarbative\",\n  \"recalcitant\",\n  \"redolent\",\n  \"rhadamanthine\",\n  \"risible\",\n  \"ruminative\",\n  \"sagacious\",\n  \"salubrious\",\n  \"sartorial\",\n  \"sclerotic\",\n  \"serpentine\",\n  \"spasmodic\",\n  \"strident\",\n  \"taciturn\",\n  \"tenacious\",\n  \"tremulous\",\n  \"trenchant\",\n  \"turbulent\",\n  \"turgid\",\n  \"ubiquitous\",\n  \"uxorious\",\n  \"verdant\",\n  \"voluble\",\n  \"voracious\",\n  \"wheedling\",\n  \"withering\",\n  \"zealous\"\n];\nconst NOUNS = [\n  \"ninja\",\n  \"chair\",\n  \"pancake\",\n  \"statue\",\n  \"unicorn\",\n  \"rainbows\",\n  \"laser\",\n  \"senor\",\n  \"bunny\",\n  \"captain\",\n  \"nibblets\",\n  \"cupcake\",\n  \"carrot\",\n  \"gnomes\",\n  \"glitter\",\n  \"potato\",\n  \"salad\",\n  \"toejam\",\n  \"curtains\",\n  \"beets\",\n  \"toilet\",\n  \"exorcism\",\n  \"stick figures\",\n  \"mermaid eggs\",\n  \"sea barnacles\",\n  \"dragons\",\n  \"jellybeans\",\n  \"snakes\",\n  \"dolls\",\n  \"bushes\",\n  \"cookies\",\n  \"apples\",\n  \"ice cream\",\n  \"ukulele\",\n  \"kazoo\",\n  \"banjo\",\n  \"opera singer\",\n  \"circus\",\n  \"trampoline\",\n  \"carousel\",\n  \"carnival\",\n  \"locomotive\",\n  \"hot air balloon\",\n  \"praying mantis\",\n  \"animator\",\n  \"artisan\",\n  \"artist\",\n  \"colorist\",\n  \"inker\",\n  \"coppersmith\",\n  \"director\",\n  \"designer\",\n  \"flatter\",\n  \"stylist\",\n  \"leadman\",\n  \"limner\",\n  \"make-up artist\",\n  \"model\",\n  \"musician\",\n  \"penciller\",\n  \"producer\",\n  \"scenographer\",\n  \"set decorator\",\n  \"silversmith\",\n  \"teacher\",\n  \"auto mechanic\",\n  \"beader\",\n  \"bobbin boy\",\n  \"clerk of the chapel\",\n  \"filling station attendant\",\n  \"foreman\",\n  \"maintenance engineering\",\n  \"mechanic\",\n  \"miller\",\n  \"moldmaker\",\n  \"panel beater\",\n  \"patternmaker\",\n  \"plant operator\",\n  \"plumber\",\n  \"sawfiler\",\n  \"shop foreman\",\n  \"soaper\",\n  \"stationary engineer\",\n  \"wheelwright\",\n  \"woodworkers\"\n];\n\nexport const randomTitle = () =>\n  `${ADJECTIVES[Math.floor(Math.random() * ADJECTIVES.length)]} ${\n    NOUNS[Math.floor(Math.random() * NOUNS.length)]\n  }`;\n"
  },
  {
    "path": "src/ingest/Dockerfile",
    "content": "FROM python:3.10.4\n\nWORKDIR ./app\n\nCOPY src/requirements.txt .\nRUN python -m pip install wheel setuptools pip --upgrade\nRUN --mount=type=cache,target=/root/.cache \\\n    pip install -r requirements.txt\n\nCOPY src/ingest src/ingest\nCOPY src/common src/common\nCOPY src/__init__.py src/.\n\nRUN chmod 775 src/ingest/ingestion_startup.sh\nCMD [\"/bin/bash\", \"-c\", \"src/ingest/ingestion_startup.sh\"]"
  },
  {
    "path": "src/ingest/__init__.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\n"
  },
  {
    "path": "src/ingest/create_episodes.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport json\nimport pandas as pd\nimport os\nimport spotipy\n\nfrom typing import List\nfrom glob import glob\nfrom spotipy.oauth2 import SpotifyClientCredentials\n\n\nclass EpisodeCreator:\n\n    def __init__(self, app_path='personal-data/app_data/'):\n        self.app_path = app_path\n        self.table = json.load(open(os.path.join(app_path, 'enriched_data.json')))\n\n        # index for amazon images\n        self.product_image_index = {}\n\n    def create_all_episodes(self):\n        \"\"\"Create episodes for all episode types.\n        \"\"\"\n        table_names = 'books,exercise,places,purchase,streaming,photos'.split(',')\n        all_episodes = []\n        for table_name in table_names:\n            print(\"Processing %s\" % table_name)\n            func_name = 'create_%s_table' % table_name\n            # func = globals()[func_name]\n            func = getattr(self, func_name)\n            episodes = func(self.table)\n\n            # no episodes from the data source\n            if len(episodes) == 0:\n                continue\n\n            # csv\n            csv_path = os.path.join(self.app_path, '%s.csv' % table_name)\n            table_csv = pd.read_csv(csv_path)\n            table_csv['id'] = list(['%s_%d' % (table_name, i) for i in range(len(episodes))])\n            table_csv.to_csv(csv_path, index=False)\n\n            # json\n            json_path = os.path.join(self.app_path, '%s.json' % table_name)\n            table_json = json.load(open(json_path))\n            for i, row in enumerate(table_json):\n                row['id'] = '%s_%d' % (table_name, i)\n                episodes[i]['id'] = '%s_%d' % (table_name, i)\n            json.dump(table_json, open(json_path, 'w'))\n\n            all_episodes += episodes\n\n        # csv, json, episodes\n        output_path = os.path.join(self.app_path, 'episodes.csv')\n        pd.DataFrame(all_episodes).to_csv(output_path, index=False)\n\n    \n    def create_books_index(self):\n        \"\"\"Processing for amazon products.\n        \"\"\"\n        # TODO: check path\n        # '../../../personal-timeline-demo/personal-data/amazon-bak/'\n        dir_paths = [self.app_path]\n        for dir_path in dir_paths:\n            all_csv_files = [file for path, subdir, files in os.walk(dir_path) \\\n                    for file in glob(os.path.join(path, \"*.csv\"))]\n            for fn in all_csv_files:\n                table = pd.read_csv(fn)\n                if 'ASIN' in table and 'Title' in table:\n                    for asin, product_name in zip(table['ASIN'], table['Title']):\n                        self.product_image_index[product_name] = asin\n                if 'ASIN' in table and 'Product Name' in table:\n                    for asin, product_name in zip(table['ASIN'], table['Product Name']):\n                        self.product_image_index[product_name] = asin\n\n\n    def create_books_table(self, table: List):\n        \"\"\"Create a list of books/reading episodes.\n        \"\"\"\n        output = []\n        episodes = []\n        for rec in table:\n            if rec['source'] == 'Libby':\n                output.append({'time': rec['startTime'],\n                            'book_name': rec['productName'],\n                            'img_url': rec['imageURL'],\n                            })\n                episodes.append({'date': rec['startTime'], \n                                'desc': 'I purchased the book \"%s\" from Libby' % rec['productName'],\n                                'details': 'I purchased the book \"%s\" with an image url %s from Libby' % (rec['productName'], rec['imageURL'])})\n            elif rec['source'] == 'AmazonKindle':\n                if rec['productName'] in ['Kindle Unlimited', 'Prime Membership Fee', 'Audible Premium Plus']:\n                    continue\n                if 'productId' in rec:\n                    asin = rec['productId']\n                else:\n                    asin = self.product_image_index[rec['productName']]\n                \n                url = f'https://ws-na.amazon-adsystem.com/widgets/q?_encoding=UTF8&MarketPlace=US&ASIN={asin}&ServiceVersion=20070822&ID=AsinImage&WS=1&Format=SL250'\n                output.append({'time': rec['startTime'],\n                            'book_name': rec['productName'],\n                            'img_url': url,\n                            })\n                episodes.append({'date': rec['startTime'], \n                                'desc': 'I purchased the book \"%s\" from Amazon Kindle' % rec['productName'],\n                                'details': 'I purchased the book \"%s\" with an image url %s from Libby' % (rec['productName'], url)})\n\n        # output to JSON\n        json.dump(output, open(os.path.join(self.app_path, 'books.json'), 'w'), indent=2)\n\n        # output to CSV\n        output_path = os.path.join(self.app_path, 'books.csv')\n        pd.DataFrame.from_records(output).to_csv(output_path, index=False)\n        \n        return episodes\n\n\n    def create_places_table(self, table: List):\n        \"\"\"Create a list of places episodes.\n        \"\"\"\n        output = []\n        episodes = []\n        for rec in table:\n            if rec['source'] == 'GoogleTimeline':\n                if len(rec['locations']) == 1:\n                    end_index = 0\n                else:\n                    end_index = 1\n\n                output.append({'start_time': rec['startTime'],\n                            'end_time': rec['endTime'],\n                            'textDescription': rec['textDescription'],\n                            'start_address': rec['locations'][0],\n                            'start_lat': rec['lat_lon'][0][0],\n                            'start_long': rec['lat_lon'][0][1],\n                            'end_address': rec['locations'][end_index],\n                            'end_lat': rec['lat_lon'][end_index][0],\n                            'end_long': rec['lat_lon'][end_index][1],\n                            })\n                episodes.append({'date': rec['startTime'], \n                                'desc': rec['textDescription'],\n                                'details': 'The event starts at %s and ends at %s. The description of this event is %s. The event starts at the location %s (%s, %s) and ends at the location %s (%s, %s).' % \\\n                                    (rec['startTime'], rec['endTime'], rec['textDescription'], \n                                    rec['locations'][0], rec['lat_lon'][0][0], \n                                    rec['lat_lon'][0][1], \n                                    rec['locations'][end_index], \n                                    rec['lat_lon'][end_index][0], \n                                    rec['lat_lon'][end_index][1])\n                                })\n                # print(rec)\n                # break\n            elif rec['source'] == 'GooglePhotos':\n                if len(rec['locations']) == 1:\n                    end_index = 0\n                else:\n                    end_index = 1\n\n                output.append({'start_time': rec['startTime'],\n                            'end_time': rec['endTime'],\n                            'textDescription': \"from Google Photo\", # to be replaced by image caption\n                            'start_address': rec['locations'][0],\n                            'start_lat': rec['lat_lon'][0][0],\n                            'start_long': rec['lat_lon'][0][1],\n                            'end_address': rec['locations'][end_index],\n                            'end_lat': rec['lat_lon'][end_index][0],\n                            'end_long': rec['lat_lon'][end_index][1],\n                            })\n                episodes.append({'date': rec['startTime'], \n                                'desc': rec['locations'][0],\n                                'details': 'The event starts at %s and ends at %s. The event starts at the location %s (%s, %s) and ends at the location %s (%s, %s).' % \\\n                                    (rec['startTime'], rec['endTime'], \n                                    rec['locations'][0], rec['lat_lon'][0][0], \n                                    rec['lat_lon'][0][1], \n                                    rec['locations'][end_index], \n                                    rec['lat_lon'][end_index][0], \n                                    rec['lat_lon'][end_index][1])})\n                # break\n        # output to JSON\n        json.dump(output, open(os.path.join(self.app_path, 'places.json'), 'w'), indent=2)\n\n        # output to CSV\n        output_path = os.path.join(self.app_path, 'places.csv')\n        pd.DataFrame.from_records(output).to_csv(output_path, index=False)\n\n        return episodes\n    \n\n    def create_photos_table(self, table: List):\n        \"\"\"Create a list of photos episodes.\n        \"\"\"\n        output = []\n        episodes = []\n        for rec in table:\n            if rec['source'] == 'GooglePhotos':\n                output.append({'start_time': rec['startTime'],\n                            'end_time': rec['endTime'],\n                            'textDescription': rec['textDescription'],\n                            'address': rec['locations'][0],\n                            'lat': rec['lat_lon'][0][0],\n                            'long': rec['lat_lon'][0][1],\n                            'details': rec['imageCaptions'],\n                            'img_url': rec['imageFilePath'],\n                            })\n                episodes.append({'date': rec['startTime'], \n                                # 'desc': rec['textDescription'],\n                                'desc': rec['imageCaptions'],\n                                'details': 'I took a photo of %s' % \\\n                                    rec['imageCaptions']\n                                })\n\n        # output to JSON\n        json.dump(output, open(os.path.join(self.app_path, 'photos.json'), 'w'), indent=2)\n\n        # output to CSV\n        output_path = os.path.join(self.app_path, 'photos.csv')\n        pd.DataFrame.from_records(output).to_csv(output_path, index=False)\n\n        return episodes\n\n\n    def create_streaming_table(self, table: List):\n        \"\"\"Create a list of streaming episodes.\n        \"\"\"\n        output = []\n        episodes = []\n\n        if os.getenv(\"SPOTIFY_TOKEN\") is None:\n            print(\"SPOTIFY_TOKEN is not set. Skipping Spotify data.\")\n\n            # output to JSON\n            json.dump(output, open(os.path.join(self.app_path, 'streaming.json'), 'w'), indent=2)\n\n            # output to CSV\n            output_path = os.path.join(self.app_path, 'streaming.csv')\n            pd.DataFrame.from_records(output).to_csv(output_path, index=False)\n            return episodes\n\n        cid = os.environ['SPOTIFY_TOKEN']\n        secret = os.environ['SPOTIFY_SECRET']\n        client_credentials_manager = SpotifyClientCredentials(client_id=cid, client_secret=secret)\n        spotify = spotipy.Spotify(client_credentials_manager=client_credentials_manager)\n\n        for rec in table:\n            if rec['source'] == 'Spotify':\n                link = \"\"\n                try:\n                    res = spotify.search(q=f\"artist: {rec['artist']} track:{rec['track']}\" , type=\"track\", limit=5)\n                    if 'tracks' in res and 'items' in res['tracks']:\n                        for item in res['tracks']['items']:\n                            if 'external_urls' in item:\n                                link = item['external_urls']['spotify']\n                            else:\n                                print(item)\n                except:\n                    print(\"Spotify Exception: \" + str(rec['artist']) + \" \" + str(rec['track']))\n\n                output.append({'start_time': rec['startTime'],\n                            'end_time': rec['endTime'],\n                            'artist': rec['artist'],\n                            'track': rec['track'],\n                            'playtimeMs': rec['playtimeMs'],\n                            'spotify_link': link\n                            })\n                episodes.append({'date': rec['startTime'], \n                                'desc': \"I listen to %s from %s on Spotify\" % (rec['track'], rec['artist']),\n                                'details': \"From %s to %s, I listen to %s from %s on Spotify. The length of the track is %d ms. Here's the link: %s\" % \\\n                                    (rec['startTime'], rec['endTime'], rec['track'], rec['artist'], rec['playtimeMs'], link)})\n\n        # output to JSON\n        json.dump(output, open(os.path.join(self.app_path, 'streaming.json'), 'w'), indent=2)\n\n        # output to CSV\n        output_path = os.path.join(self.app_path, 'streaming.csv')\n        pd.DataFrame.from_records(output).to_csv(output_path, index=False)\n        return episodes\n\n    \n    def create_exercise_table(self, table: List):\n        \"\"\"Create a list of exercise episodes.\n        \"\"\"\n        output = []\n        episodes = []\n        for rec in table:\n            if rec['source'] == 'AppleHealth':\n                output.append({'start_time': rec['startTime'],\n                            'end_time': rec['endTime'],\n                            'textDescription': rec['textDescription'],\n                            'duration': rec['duration'],\n                            'distance': rec['distance'],\n                            'calories': rec['calories'],\n                            'outdoor': rec['outdoor'],\n                            'temperature': rec['temperature']})\n                if rec['outdoor'] == 1:\n                    outdoor = 'outdoor'\n                else:\n                    outdoor = 'indoor'\n                \n                if len(rec['temperature']) > 0:\n                    outdoor += ' and the temperature was about %s' % rec['temperature']\n\n                episodes.append({'date': rec['startTime'], \n                                'desc': 'I exercised by' + rec['textDescription'][6:],\n                                'details': 'From %s to %s, I exercised by %s. Duration of this exercise was %s, distance was %s, and calories are %s. I did the exercise %s.' % \n                                    (rec['startTime'], rec['endTime'], rec['textDescription'][6:], \n                                    rec['duration'], rec['distance'], rec['calories'], outdoor)\n                                })\n\n        # output to JSON\n        json.dump(output, open(os.path.join(self.app_path, 'exercise.json'), 'w'), indent=2)\n\n        # output to CSV\n        output_path = os.path.join(self.app_path, 'exercise.csv')\n        pd.DataFrame.from_records(output).to_csv(output_path, index=False)\n        return episodes\n    \n\n    def create_purchase_table(self, table: List):\n        \"\"\"Create the purchase episodes.\n        \"\"\"\n        output = []\n        episodes = []\n        for rec in table:\n            if rec['source'] == 'Amazon':\n                output.append({'time': rec['startTime'],\n                            'purchase_id': rec['purchase_id'],\n                            'productName': rec['productName'],\n                            'productPrice': rec['productPrice'],\n                            'productQuantity': rec['productQuantity']})\n                episodes.append({'date': rec['startTime'], \n                                'desc': 'I purchased %s from Amazon' % rec['productName'], \n                                'details': 'On %s, I purchased %s from Amazon. The product prise is %s and product quantity is %s.' % \n                                (rec['startTime'], rec['productName'], rec['productPrice'], rec['productQuantity'])})\n        # output to JSON\n        json.dump(output, open(os.path.join(self.app_path, 'purchase.json'), 'w'), indent=2)\n\n        # output to CSV\n        output_path = os.path.join(self.app_path, \"purchase.csv\")\n        pd.DataFrame.from_records(output).to_csv(output_path, index=False)\n        return episodes\n\n    \nif __name__ == '__main__':\n    creator = EpisodeCreator()\n    creator.create_all_episodes()"
  },
  {
    "path": "src/ingest/derive_episodes.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nimport langchain\nimport json\nimport pandas as pd\nimport numpy as np\n\nfrom math import sin, cos, sqrt, atan2, radians\nfrom typing import List\nfrom langchain.llms import OpenAI\nfrom langchain.cache import SQLiteCache\nfrom tqdm import tqdm\n\nlangchain.llm_cache = SQLiteCache(database_path=\".langchain.db\")\n\n\nclass EpisodeDeriver:\n    def __init__(self, app_path='personal-data/app_data/'):\n        self.app_path = app_path\n        self.llm = OpenAI(temperature=0)\n        self.places = pd.read_csv(os.path.join(app_path, \"places.csv\"))\n        self.places = self.places.sort_values(by=\"start_time\")\n        # places.to_csv(\"places.csv\", index=False)\n\n    def run(self):\n        \"\"\"Run the whole pipeline.\n        \"\"\"\n        json_path = os.path.join(self.app_path, \"trips.json\")\n        if os.path.exists(json_path):\n            print(\"Derived trips found.\")\n        else:\n            print(\"Start segmenting trips.\")\n            trips = self.derive_trips(self.places)\n\n            print(\"Start summarizing trips.\")\n            output = self.make_trip_table(trips, self.places)\n\n            json.dump(output, open(json_path, 'w'))\n            pd.DataFrame(output).to_csv(os.path.join(self.app_path, \"trips.csv\"), index=False)\n\n    def distance(self, latlon_a, latlon_b):\n        \"\"\"Compute the distance (in km) between two lat/lon pairs.\n        \"\"\"\n        # Approximate radius of earth in km\n        R = 6373.0\n\n        lat1 = radians(latlon_a[0])\n        lon1 = radians(latlon_a[1])\n        lat2 = radians(latlon_b[0])\n        lon2 = radians(latlon_b[1])\n\n        dlon = lon2 - lon1\n        dlat = lat2 - lat1\n\n        a = sin(dlat / 2)**2 + cos(lat1) * cos(lat2) * sin(dlon / 2)**2\n        c = 2 * atan2(sqrt(a), sqrt(1 - a))\n\n        return  R * c\n\n    def get_center(self, lat_lons):\n        \"\"\"Compute the center (mean) of a list of lat/lons.\n        \"\"\"\n        return (np.mean([ll[0] for ll in lat_lons]),\n                np.mean([ll[1] for ll in lat_lons]))\n\n    def add_tag(self, segments: List[dict], d=200):\n        \"\"\"Tag a list of segments as home/trip/transit\n        \"\"\"\n        # find short segment\n        for seg in segments:\n            if len(seg[\"ids\"]) <= 5:\n                seg[\"tag\"] = 'transit'\n\n        # find home cluster\n        known_centers = []\n        for idx, seg in enumerate(segments):\n            center = self.get_center(seg[\"lat_lons\"])\n            found = False\n            for i in range(len(known_centers)):\n                if self.distance(known_centers[i][0], center) <= d:\n                    known_centers[i][1].append(idx)\n                    found = True\n                    break\n            \n            if not found:\n                known_centers.append([center, [idx]])\n        \n        max_cnt = -1\n        if known_centers:\n            max_cnt = max([len(indices) for _, indices in known_centers])\n        \n        for _, indices in known_centers:\n            if len(indices) == max_cnt:\n                for idx in indices:\n                    segments[idx][\"tag\"] = \"home\"\n        \n        for seg in segments:\n            if \"tag\" not in seg:\n                seg[\"tag\"] = \"trip\"\n\n\n    def cluster(self, places: pd.DataFrame, d=200):\n        \"\"\"Cluster a list of lat/lon based on distances.\n\n        Args:\n            places (pd.DataFrame): the places table\n            d (float): the distance upper bound for each cluster\n        \n        Returns:\n            List: A list of segments. Each segment is one trip.\n        \"\"\"\n        start = 0\n        segments = []\n        lats = list(places['start_lat'])\n        longs = list(places['start_long'])\n        addresses = list(places['start_address'])\n        ids = list(places['id'])\n\n        while start < len(places):\n            end = start\n            start_lat_lon = lats[start], longs[start]\n            lat_lons = [(lats[start], longs[start])]\n            while end + 1 < len(places) and self.distance(start_lat_lon, (lats[end+1], longs[end+1])) <= d:\n                end += 1\n                lat_lons.append((lats[end], longs[end]))\n            \n            segments.append({\"start_idx\": start, \n                            \"end_idx\": end,\n                            \"addresses\": addresses[start:end+1],\n                            \"ids\": ids[start:end+1],\n                            \"lat_lons\": lat_lons})\n            start = end + 1\n\n        self.add_tag(segments, d=d)\n        return segments\n\n\n    def derive_trips(self, places: pd.DataFrame):\n        \"\"\"Derive a set of trips from a sequence of location tracking.\n        \"\"\"\n        places = places.sort_values(by=\"start_time\")\n        print('number of places =', len(places))\n\n        # remove locations at (0, 0)\n        places = places[places['start_address'] != \"Soul Buoy\"]\n        print('number of non-(0,0) places =', len(places))\n\n        return self.cluster(places)\n\n\n    def summarize(self, input):\n        \"\"\"Use llm to detech what places are visited for each trip.\n        \"\"\"\n        return self.llm(input + \"\\n\\nWhich country did I visit?\\nWhich states/provinces did I visit?\\nWhich cities/towns did I visit?\\nWhat places did I visit?\\nAnswer in 4 lines with line breaks.\\n\\n\")\n\n    def summarize_oneline(self, input):\n        \"\"\"Summarize the trip into a trip title using llm.\n        \"\"\"\n        return self.llm(input + \" Can you summarize the country, states/provinces, cities/towns, and places I have been to?\")\n\n    def describe_place(self, address):\n        \"\"\"Ask llm to describe what is in an address.\n        \"\"\"\n        return self.llm(\"Can you describe what is in this address in one sentence: \" + address)\n\n    def summarize_day(self, places, details=\"low\"):\n        \"\"\"Summarize places visited in a day.\n        \"\"\"\n        prompt = \"Here's the list of places that I have been to during a trip:\\n\"\n        idx = 0\n        places = places.to_dict('records')\n        while idx < len(places):\n            address = places[idx]['start_address']\n            start_time = places[idx]['start_time']\n            end_time = places[idx]['end_time']\n            while idx + 1 < len(places) and places[idx]['start_address'] == places[idx+1]['start_address']:\n                idx += 1\n                end_time = places[idx]['end_time']\n            \n            # process address\n            addr_desc = self.describe_place(address)\n            # print(addr_desc)\n            if start_time == end_time:\n                prompt += '%s: %s\\n\\n' % (start_time, addr_desc.strip())\n            else:\n                prompt += 'from %s to %s: %s\\n\\n' % (start_time, end_time, addr_desc.strip())\n            idx += 1\n        \n        prompt += \"\\nHelp me summarize my trip to another person. Highlight significant places (e.g., restaurants, attractions, cities, countries) that I have visited. Try to break down the trip summary by days.\\n\"\n        if details == 'high':\n            prompt += \"Make sure to include as many details as possible.\"\n        else:\n            prompt += \"Write a summary in at most 100 words.\"\n\n        print(prompt)\n        res = self.llm(prompt)\n        # print(res)\n        return res\n\n\n    def make_trip_table(self, trips, places):\n        \"\"\"Create the trip episodes.\n        \"\"\"\n        output = []\n        for trip in tqdm(trips):\n            if trip[\"tag\"] == 'trip':\n                start_id = trip[\"ids\"][0]\n                end_id = trip[\"ids\"][-1]\n\n                trip_places = places[places['id'].isin(trip['ids'])]\n                text_summary_oneline = self.summarize_day(trip_places, details=\"low\")\n                text_summary = self.summarize_day(trip_places, details=\"high\")\n\n                descriptions = [str(places[places[\"id\"] == idx][\"textDescription\"].values[0]) for idx in trip[\"ids\"] if \\\n                                \"Google Photo\" not in str(places[places[\"id\"] == idx][\"textDescription\"].values[0])]\n                \n                if len(descriptions) == 0:\n                    descriptions = [str(places[places[\"id\"] == idx][\"start_address\"].values[0]) for idx in trip[\"ids\"]]\n                    descriptions = list(set(descriptions))[:60]\n\n                try:\n                    summary = self.summarize(\"\\n\".join(descriptions)).strip()\n                    # summary_oneline = self.summarize_oneline(\"\\n\".join(descriptions)).strip()\n                except:\n                    print(descriptions)\n                    continue\n\n                lines = summary.split('\\n')\n                country = states_provinces = cities_towns = places_visited = \"\"\n                if len(lines) > 0:\n                    country = lines[0]\n                if len(lines) > 1:\n                    states_provinces = lines[1]\n                if len(lines) > 2:\n                    cities_towns = lines[2]\n                if len(lines) > 3:\n                    places_visited = lines[3]\n\n                rec = {\"start_time\": str(places[places[\"id\"] == start_id][\"start_time\"].values[0]),\n                    \"end_time\": str(places[places[\"id\"] == end_id][\"end_time\"].values[0]),\n                    \"textDescription\": text_summary_oneline,\n                    \"details\": text_summary,\n                    \"country\": country,\n                    \"states_provinces\": states_provinces,\n                    \"cities_towns\": cities_towns,\n                    \"places\": places_visited}\n                output.append(rec)\n        print(\"Found trips:\", len(output))\n        return output\n\nif __name__ == '__main__':\n    deriver = EpisodeDeriver()\n    deriver.run()"
  },
  {
    "path": "src/ingest/enrichment/__init__.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\n"
  },
  {
    "path": "src/ingest/enrichment/find_jpegs.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nimport json\nimport pdb\n\ndef json_file (file_name):\n    return file_name.endswith(\".json\") or file_name.endswith(\".JSON\")\n\ndef jpeg_file (file_name):\n    return file_name.endswith(\".jpeg\") or file_name.endswith(\".JPEG\")\n\ndef heic_file (file_name):\n    return file_name.endswith(\".HEIC\")\n\ndef jpg_file (file_name):\n    return file_name.endswith(\".jpg\") or file_name.endswith(\".JPG\")\n\n\n\njson_files = []\nname_files = []\noutput_json = \"[ \"\noutput_dir = {}\n\n# This is the directory where the photos and jsons are expected to be. Make sure it matches what you have. \nphotos_dir = os.listdir(\"../../../photos\")\nOUTPUT_FILE_NAME = '../data/photo_filenames.json'\n\ncount = 0\njpeg_count = 0\nheic_count = 0\n\nfor f in photos_dir:\n    if json_file(f):\n        count = count +1\n    if jpeg_file(f):\n        jpeg_count = jpeg_count +1 \n    if heic_file(f):\n        heic_count = heic_count +1 \n\nprint(\"number of json files is \" + str(count))\nprint(\"number of jpeg files is \" + str(jpeg_count))\nprint(\"number of heic files is \" + str(heic_count))\n\nfor f in photos_dir:\n    if json_file(f):\n        name = f[:-5]\n        if name.endswith(\".HEIC\"):\n            name = name[:-5]\n        if name.endswith(\".JPG\") or name.endswith(\".jpg\"):\n            name = name[:-4]\n           \n        if name.endswith(\".JPEG\") or name.endswith(\".jpeg\"):\n            name = name[:-5]\n\n        \n        if name + \".jpeg\" in photos_dir:\n            output_dir[name] = name + \".jpeg\"\n\n\n        if name + \".JPEG\" in photos_dir:\n            output_dir[name] = name + \".JPEG\"\n        if name + \".JPG\" in photos_dir:\n            output_dir[name] = name + \".JPG\"\n        if name + \".jpg\" in photos_dir:\n            output_dir[name] = name + \".jpg\"\n            \n\nout_string = json.dumps(output_dir)\n\nwith open(OUTPUT_FILE_NAME, 'w') as outfile:\n    outfile.write(out_string)"
  },
  {
    "path": "src/ingest/enrichment/geo_enrichment.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nfrom typing import List\n\nimport pickle\n\nfrom tqdm import tqdm\n\nfrom src.common.geo_helper import GeoHelper\nfrom src.common.objects.LLEntry_obj import LLEntry\nfrom geopy.location import Location\n\nfrom src.common.persistence.personal_data_db import PersonalDataDBConnector\n\nclass LocationEnricher:\n    def __init__(self):\n        self.geo_helper = GeoHelper()\n        self.db = PersonalDataDBConnector()\n\n    def enrich(self, incremental:bool=True):\n        select_cols = \"id, data\"\n        select_count = \"count(*)\"\n        where_clause={\"data\": \"is not NULL\"}\n        if incremental:\n            where_clause[\"location_done\"] = \"=0\"\n        count_res = self.db.search_personal_data(select_count, where_clause)\n        pending = count_res.fetchone()\n        if pending is None:\n            print(\"No pending location enrichments\")\n            return\n        # print(\"Total enrichments to be done: \", pending[0])\n        res = self.db.search_personal_data(select_cols, where_clause)\n        count = 0\n        for row in tqdm(res.fetchall()):\n            row_id = int(row[0])\n            data:LLEntry = pickle.loads(row[1])\n            #print(\"data.lat_lon\", data.__dict__)\n            entry_location: List[Location] = []\n            for lat_lon_entry in data.lat_lon:\n                entry_location.append(self.geo_helper.calculateLocation(lat_lon_entry[0], lat_lon_entry[1]))\n            #print(\"Updating location to::: \", photo_location.raw)\n            if len(entry_location) > 0:\n                count += 1\n                self.db.add_or_replace_personal_data({\"location\": entry_location, \"location_done\": 1, \"id\": row_id}, \"id\")\n        print(\"Cache Hits: \", self.geo_helper.reverse_cache_hits, \" Cache misses: \", self.geo_helper.reverse_cache_miss)\n        print(\"Geo Processing completed for \", count, \" entries\")"
  },
  {
    "path": "src/ingest/enrichment/image_deduplication.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\n"
  },
  {
    "path": "src/ingest/enrichment/image_enrichment.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport pickle\nimport os\nimport torch\nimport json\nimport numpy as np\n\nfrom tqdm import tqdm\nfrom src.common.objects.LLEntry_obj import LLEntry\nfrom PIL import Image, ImageOps\nfrom src.ingest.enrichment import socratic\nfrom src.common.persistence.personal_data_db import PersonalDataDBConnector\nfrom typing import List\n\n\nclass ImageEnricher:\n    def __init__(self) -> None:\n        self.db = PersonalDataDBConnector()\n\n    def enhance(img_path: str, k=5):\n        \"\"\"Run enhencements.\n\n        Args:\n            img_path (str): the path to the images\n\n        Return:\n            Dictionary: a dictionary of objects, places, and tags (food, plant, etc.)\n            Numpy.ndarray: the CLIP embeddings\n        \"\"\"\n        if not os.path.exists(img_path + \".compressed.jpg\"):\n            # RGBA -> RGB\n            img = Image.open(img_path)\n            img = ImageOps.exif_transpose(img)\n            img = img.convert(\"RGB\")\n            img.save(img_path + \".compressed.jpg\")\n\n        # CLIP embeddings and zero-shot image classification\n        model_dict = socratic.model_dict\n        drop_gpu = socratic.drop_gpu\n\n        with torch.no_grad():\n            if os.path.exists(img_path + \".pt\"):\n                image_features = torch.load(img_path + \".pt\")\n            else:\n                if img == None:\n                    img = Image.open(img_path)\n                image_input = model_dict['clip_preprocess'](img).unsqueeze(0).to(model_dict['device'])\n                image_features = model_dict['clip_model'].encode_image(image_input)\n                image_features /= image_features.norm(dim=-1, keepdim=True)\n                torch.save(image_features, img_path + \".pt\")\n\n            sim = (100.0 * image_features @ model_dict['openimage_classifier_weights'].T).softmax(dim=-1)\n            _, indices = [drop_gpu(tensor) for tensor in sim[0].topk(k)]\n            openimage_classes = [model_dict['openimage_classnames'][idx] for idx in indices]\n\n            sim = (100.0 * image_features @ model_dict['tencentml_classifier_weights'].T).softmax(dim=-1)\n            _, indices = [drop_gpu(tensor) for tensor in sim[0].topk(k)]\n            tencentml_classes = [model_dict['tencentml_classnames'][idx] for idx in indices]\n\n            sim = (100.0 * image_features @ model_dict['place365_classifier_weights'].T).softmax(dim=-1)\n            _, indices = [drop_gpu(tensor) for tensor in sim[0].topk(k)]\n            places = [model_dict['place365_classnames'][idx] for idx in indices]\n\n            objects = openimage_classes + tencentml_classes\n\n            # simple tagging for food, animal, person, vehicle, building, scenery, document, commodity, other objects\n            sim = (100.0 * image_features @ model_dict['simple_tag_weights'].T).softmax(dim=-1)\n            _, indices = [drop_gpu(tensor) for tensor in sim[0].topk(k)]\n            tag = [model_dict['simple_tag_classnames'][idx] for idx in indices][0]\n            if tag == 'other objects':\n                tags = []\n            else:\n                tags = [tag]\n\n        embedding = image_features.squeeze(0).cpu().numpy()\n        return {\"objects\": objects, \"places\": places, \"tags\": tags}, embedding\n\n    def deduplicate(self, img_paths: List[str]):\n        \"\"\"Deduplicate a list of images.\n\n        Args:\n            img_paths (List of str): the image paths\n\n        Returns:\n            List of str: the image paths that are duplicate.\n        \"\"\"\n        img_paths.sort()\n        res = []\n\n        for i in tqdm(range(len(img_paths))):\n            img_path = img_paths[i]\n            if os.path.exists(img_path + \".emb\"):\n                image_features = pickle.load(open(img_path + \".emb\", \"rb\"))\n                embedding = image_features.squeeze(0).cpu().numpy()\n\n            if i > 0:\n                sim = np.dot(embedding, prev_embedding)\n                if sim > 0.9:\n                    res.append(img_path)\n            prev_embedding = embedding\n        return res\n\n    def enrich(self, incremental:bool=True):\n        # enhencement\n        select_cols = \"id, data\"\n        select_count = \"count(*)\"\n        where_clause={\"data\": \"is not NULL\"}\n        if incremental:\n            where_clause[\"captions_done\"] = \"=0\"\n        count_res = self.db.search_personal_data(select_count, where_clause)\n        pending = count_res.fetchone()\n        if pending is None:\n            print(\"No pending image enrichments\")\n            return\n        # print(\"Total enrichments to be done: \", pending[0])\n\n        res = self.db.search_personal_data(select_cols, where_clause)\n        count = 0\n        img_paths = []\n        row_ids = []\n        for row in tqdm(res.fetchall()):\n            row_id = int(row[0])\n            row_ids.append(row_id)\n\n            data:LLEntry = pickle.loads(row[1])\n            if data.imageFilePath is not None and \\\n                len(data.imageFilePath) > 0 and \\\n                os.path.exists(data.imageFilePath):\n                image_tags, _ = ImageEnricher.enhance(data.imageFilePath)\n                img_paths.append(data.imageFilePath)\n                data.imageCaptions = json.dumps(image_tags)\n                self.db.add_or_replace_personal_data({\"captions\": data.imageCaptions,\n                                                      \"captions_done\": 1,\n                                                      \"id\": row_id}, \"id\")\n                count += 1\n\n        # deduplicate\n        duplicates = set(self.deduplicate(img_paths))\n        print(\"Found %d duplicates\" % len(duplicates))\n        for row_id, img_path in zip(row_ids, img_paths):\n            self.db.add_or_replace_personal_data({\"status\": 'duplicate' if img_path in duplicates else 'active',\n                                                  \"dedup_done\": 1,\n                                                  \"id\": row_id}, \"id\")\n\n\n        print(\"Image Processing completed for \", count, \" entries\")\n"
  },
  {
    "path": "src/ingest/enrichment/socratic/README.md",
    "content": "## Example code for running the socratic model\n\nThe original repo: [Link](https://huggingface.co/spaces/Geonmo/socratic-models-image-captioning-with-BLOOM)\n\n<!-- ### Step 1:\n\nInstall requirements:\n```\npip install -r requirements.txt\n```\n\n### Step 2:\n\nRegister a Hugging Face account and request a Huggingface access token: [Link](https://huggingface.co/docs/hub/security-tokens)\n\n```\nexport HF_TOKEN=<the token goes here>\n```\n\n### Step 3:\n\nYou can run the model by (it will load the model or caption the image in `example.jpg`)\n\n```\npython socratic.py\n```\n\nOr\n```\n>>> from socratic import image_captioning\n100% [........................................................................] 17133291 / 17133291\tLoading CLIP ViT-L/14\n\tLoading precomputed zeroshot classifier\n\tBuilding simple zeroshot classifier\n>>> from PIL import Image\n>>> img = Image.open('example.jpg')\n>>> print(image_captioning(img))\n```\n\nThe result should be like (running time is about 6-8 seconds per image on CPUs)\n```\n{'inference_time': {'CLIP inference': 4.495590925216675, 'BLOOM request': 1.8190219402313232}, 'generated_captions': [{'score': 1.0, 'output': '\\n    There are two people standing on a street.'}], 'reasoning': {'openimage_results': [{'score': 0.2079, 'output': 'Street sign'}, {'score': 0.0553, 'output': 'Traffic sign'}, {'score': 0.0348, 'output': 'Parking meter'}, {'score': 0.0285, 'output': 'Cable car'}, {'score': 0.0285, 'output': 'Cable car'}, {'score': 0.0229, 'output': 'Taxi'}, {'score': 0.0196, 'output': 'Downtown'}, {'score': 0.0143, 'output': 'Bus stop'}, {'score': 0.014, 'output': 'Mission'}, {'score': 0.0127, 'output': 'Sign'}], 'tencentml_results': [{'score': 0.3026, 'output': 'street sign'}, {'score': 0.0842, 'output': 'cab, hack, taxi, taxicab'}, {'score': 0.0507, 'output': 'parking meter'}, {'score': 0.0307, 'output': 'signboard, sign'}, {'score': 0.0297, 'output': 'cable car, car'}, {'score': 0.0208, 'output': 'bus stop'}, {'score': 0.0185, 'output': 'sign'}, {'score': 0.0176, 'output': 'pole'}, {'score': 0.0157, 'output': 'street'}, {'score': 0.0157, 'output': 'street'}], 'place365_results': [{'score': 0.3173, 'output': 'downtown'}, {'score': 0.1742, 'output': 'street'}, {'score': 0.1349, 'output': 'crosswalk'}, {'score': 0.0962, 'output': 'skyscraper'}, {'score': 0.037, 'output': 'tower'}, {'score': 0.0269, 'output': 'alley'}, {'score': 0.0188, 'output': 'phone booth'}, {'score': 0.0177, 'output': 'parking lot'}, {'score': 0.0148, 'output': 'pagoda'}, {'score': 0.0142, 'output': 'outdoor parking garage'}], 'imgtype_results': [{'score': 0.9236, 'output': 'photo'}, {'score': 0.0515, 'output': 'sketch'}, {'score': 0.021, 'output': 'cartoon'}, {'score': 0.0039, 'output': 'painting'}], 'ppl_results': [{'score': 0.5149, 'output': 'people'}, {'score': 0.4851, 'output': 'no people'}], 'ifppl_results': [{'score': 0.2379, 'output': 'are two people'}, {'score': 0.215, 'output': 'are three people'}, {'score': 0.1875, 'output': 'is one person'}, {'score': 0.1816, 'output': 'are several people'}, {'score': 0.178, 'output': 'are many people'}]}}\n``` -->\n"
  },
  {
    "path": "src/ingest/enrichment/socratic/__init__.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nfrom .socratic import model_dict, drop_gpu"
  },
  {
    "path": "src/ingest/enrichment/socratic/process.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\tLoading CLIP ViT-L/14\\n\",\n      \"\\tLoading precomputed zeroshot classifier\\n\",\n      \"\\tBuilding simple zeroshot classifier\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"import socratic\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Loading embeddings\\n\",\n      \"number of images before deduplicate:  50\\n\",\n      \"number of images after deduplicate:  27\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 27/27 [00:00<00:00, 209.90it/s]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{'objects': ['Sand tiger shark', 'Broadnose shark', 'Nurse shark', 'Requiem shark', 'Bull shark', 'whitetip shark, reef whitetip shark, Triaenodon obseus', 'sandbar shark, Carcharhinus plumbeus', 'requiem shark', 'sand tiger, sand shark, Carcharias taurus, Odontaspis taurus', 'blacktip shark, sandbar shark, Carcharhinus limbatus'], 'places': ['aquarium', 'ocean deep underwater', 'indoor museum', 'ocean', 'indoor swimming pool']}\\n\",\n      \"{'objects': ['Walt disney world', 'Queue area', 'Parade', 'Theatrical scenery', 'Castle', 'castle', 'palace', 'palace', 'cloak', 'cloak'], 'places': ['outdoor stage', 'throne room', 'castle', 'palace', 'performance arena']}\\n\",\n      \"{'objects': ['Jollyboat', 'Walt disney world', 'Theatrical scenery', 'Land sailing', 'Animated cartoon', 'gangplank, gangboard, gangway', 'jolly boat, jolly', 'pirate, pirate ship', 'Peter Pan', 'shooting gallery'], 'places': ['galley', 'amusement park', 'toyshop', 'carrousel', 'boat deck']}\\n\",\n      \"{'objects': ['Mariachi', 'Jollyboat', 'Pandero jarocho', 'Floats', 'Float', 'jolly boat, jolly', 'float', 'river boat', 'ride', 'accordion, piano accordion, squeeze box'], 'places': ['carrousel', 'orchestra pit', 'amusement park', 'indoor stage', 'grotto']}\\n\",\n      \"{'objects': ['Theatrical scenery', 'Mountain garland', 'Carnival', 'Oktoberfest celebrations', 'Floats', 'ride', 'carousel, carrousel, merry-go-round, roundabout, whirligig', 'shooting gallery', 'Appenzeller', 'float'], 'places': ['carrousel', 'amusement park', 'toyshop', 'chalet', 'childs room']}\\n\",\n      \"{'objects': ['Theatrical scenery', 'Carousel', 'Orchestra pit', 'Walt disney world', 'Amusement ride', 'carousel, carrousel, merry-go-round, roundabout, whirligig', 'shooting gallery', 'ride', 'puppeteer', 'showplace'], 'places': ['carrousel', 'orchestra pit', 'toyshop', 'amusement park', 'indoor stage']}\\n\",\n      \"{'objects': ['Floats', 'Float', 'Parade', 'Swan boat', 'Jollyboat', 'float', 'puppeteer', 'jolly boat, jolly', \\\"float, plasterer's float\\\", 'gangplank, gangboard, gangway'], 'places': ['galley', 'raft', 'amusement park', 'boat deck', 'assembly line']}\\n\",\n      \"{'objects': ['Theatrical scenery', 'Theater curtain', 'Stage', 'Theatrical property', 'Playhouse', 'stage', 'theater curtain, theatre curtain', 'cabinetwork', 'corbel, truss', 'opera, opera house'], 'places': ['indoor stage', 'auditorium', 'amphitheater', 'building facade', 'orchestra pit']}\\n\",\n      \"{'objects': ['Swan boat', 'Walt disney world', 'Jollyboat', 'Floats', 'Floating restaurant', 'ride', 'float', 'jolly boat, jolly', 'river boat', 'raft'], 'places': ['amusement park', 'carrousel', 'raft', 'playroom', 'asia temple']}\\n\",\n      \"{'objects': ['Floats', 'Theatrical scenery', 'Float', 'Hippopotamus', 'Parade', 'float', 'aquatic', 'hippodrome', \\\"float, plasterer's float\\\", 'stage'], 'places': ['indoor stage', 'orchestra pit', 'lagoon', 'carrousel', 'auditorium']}\\n\",\n      \"{'objects': ['Theatrical scenery', 'Miniature golf', 'Flatweed', 'Corybas', 'Grass family', 'tadpole, polliwog, pollywog', 'drop-leaf table', 'topiary', 'ameba, amoeba', 'pea soup'], 'places': ['topiary garden', 'indoor stage', 'orchestra pit', 'lawn', 'childs room']}\\n\",\n      \"{'objects': ['Swan boat', 'Jollyboat', 'Long-tail boat', 'Walt disney world', 'Water transportation', 'ride', 'jolly boat, jolly', 'river boat', 'float', 'speedboat'], 'places': ['raft', 'amusement park', 'orchestra pit', 'boat deck', 'engine room']}\\n\",\n      \"{'objects': ['Theatrical scenery', 'Musical theatre', 'Taiwanese opera', 'Seat tribu', 'Cocadas', 'stage', 'puppeteer', 'passe-partout', 'Filipino', 'jack-in-the-box'], 'places': ['indoor stage', 'outdoor stage', 'auditorium', 'sandbox', 'television studio']}\\n\",\n      \"{'objects': ['Swan boat', 'Jollyboat', 'Floats', 'Walt disney world', 'Tom-tom drum', 'jolly boat, jolly', 'float', 'migrator', 'ride', 'carousel, carrousel, merry-go-round, roundabout, whirligig'], 'places': ['orchestra pit', 'carrousel', 'amusement park', 'raft', 'indoor stage']}\\n\",\n      \"{'objects': ['Floats', 'Clay animation', 'Theatrical scenery', 'Walt disney world', 'Animated cartoon', 'carousel, carrousel, merry-go-round, roundabout, whirligig', 'ride', 'float', 'shooting gallery', 'dickeybird, dickey-bird, dickybird, dicky-bird'], 'places': ['carrousel', 'amusement park', 'toyshop', 'ice cream parlor', 'orchestra pit']}\\n\",\n      \"{'objects': ['Floats', 'Tlayuda', 'Hoedeopbap', 'Float', 'Maslenitsa', 'float', 'kachina', 'ride', \\\"float, plasterer's float\\\", 'chincapin, chinkapin, chinquapin'], 'places': ['carrousel', 'raft', 'amusement park', 'orchestra pit', 'indoor stage']}\\n\",\n      \"{'objects': ['Swan boat', 'Floats', 'Walt disney world', 'Float', 'Theatrical scenery', 'ride', 'Peter Pan', 'float', 'uplift', 'backseat'], 'places': ['amusement park', 'orchestra pit', 'playroom', 'park', 'raft']}\\n\",\n      \"{'objects': ['Theatrical scenery', 'Musical', 'Musical theatre', 'Orchestra pit', 'Recital', 'grand piano, grand', 'stage', 'organ loft', 'plant organ', 'organist'], 'places': ['orchestra pit', 'indoor stage', 'auditorium', 'outdoor stage', 'playroom']}\\n\",\n      \"{'objects': ['Luau', 'Hula', 'Lei', 'Conga', 'Tiki', 'grass skirt', 'Polynesian', 'Tahitian', 'ride', 'float'], 'places': ['lobby', 'islet', 'indoor stage', 'raft', 'elevator lobby']}\\n\",\n      \"{'objects': ['Playset', 'Carousel', 'Walt disney world', 'Swing', 'Swing', 'swing', 'ride', 'Peter Pan', 'carousel, carrousel, merry-go-round, roundabout, whirligig', 'puppeteer'], 'places': ['playroom', 'childs room', 'indoor museum', 'carrousel', 'indoor stage']}\\n\",\n      \"{'objects': ['Carousel', 'Chocolate Daisy', 'Tap dance', 'Theatrical scenery', 'Float', 'carousel, carrousel, merry-go-round, roundabout, whirligig', 'float', 'ride', 'embellishment', 'daisy'], 'places': ['carrousel', 'ice cream parlor', 'orchestra pit', 'indoor stage', 'amusement park']}\\n\",\n      \"{'objects': ['Carousel', 'Walt disney world', 'Float', 'Playset', 'Floats', 'ride', 'carousel, carrousel, merry-go-round, roundabout, whirligig', 'float', 'splashboard, splasher, dashboard', 'jolly boat, jolly'], 'places': ['carrousel', 'ice cream parlor', 'orchestra pit', 'amusement park', 'water park']}\\n\",\n      \"{'objects': ['Ice cream bar', 'Kiosk', 'Frozen dessert', 'Soft Serve Ice Creams', 'Ice cream', 'frozen dessert', 'ice cream, icecream', 'candy bar', 'chocolate ice cream', 'deep-freeze, Deepfreeze, deep freezer, freezer'], 'places': ['ice cream parlor', 'ticket booth', 'candy store', 'delicatessen', 'food court']}\\n\",\n      \"{'objects': ['Queue area', 'Walt disney world', 'Monorail', 'Amusement park', 'Amusement ride', 'ride', 'carousel, carrousel, merry-go-round, roundabout, whirligig', 'space station, space platform, space laboratory', 'box office, ticket office, ticket booth', 'amusement park, funfair, pleasure ground'], 'places': ['carrousel', 'amusement park', 'promenade', 'ticket booth', 'park']}\\n\",\n      \"{'objects': ['Walt disney world', 'Queue area', 'Motorcycle speedway', 'Race track', 'Auto racing', 'box office, ticket office, ticket booth', 'Floridian', 'paved surface', 'forecourt', 'ride'], 'places': ['raceway', 'amusement park', 'ticket booth', 'plaza', 'fastfood restaurant']}\\n\",\n      \"{'objects': ['Plush', 'Stuffed toy', 'Muisjes', 'Walt disney world', 'Toy mi-ki', 'plush', 'toyshop', 'gift shop, novelty shop', 'mouse button', 'display window, shop window, shopwindow, show window'], 'places': ['toyshop', 'gift shop', 'assembly line', 'clothing store', 'childs room']}\\n\",\n      \"{'objects': ['Queue area', 'Movie theater', 'Bouncer', 'Lobby', 'Red carpet', 'movable barrier', 'box office, ticket office, ticket booth', 'red carpet', 'laminate', 'showplace'], 'places': ['elevator lobby', 'lobby', 'ticket booth', 'indoor movie theater', 'dressing room']}\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[['swimming', 'diving', 'snorkeling'], ['swimming', 'diving', 'snorkeling'], ['swimming', 'diving']]\\n\",\n      \"[['Watching a parade', 'Watching a show'], ['Watching a parade', 'Watching a show'], ['Watching a parade', 'Watching a show']]\\n\",\n      \"[['float', 'merry', 'round', 'roundabout', 'whirligig'], ['float', 'merry', 'round', 'roundabout', 'whirligig'], ['float', 'merry', 'round', 'roundabout', 'whirligig']]\\n\",\n      \"[['queue', 'ice cream bar', 'frozen dessert'], ['queue', 'ice cream bar', 'frozen dessert'], ['queue', 'ice cream bar', 'frozen dessert']]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 1440x720 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 1440x720 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 1440x720 with 20 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 1440x720 with 5 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"import os\\n\",\n    \"import torch\\n\",\n    \"\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"import numpy as np\\n\",\n    \"import pickle\\n\",\n    \"import datetime\\n\",\n    \"\\n\",\n    \"from io import BytesIO\\n\",\n    \"from PIL import Image\\n\",\n    \"from tqdm import tqdm\\n\",\n    \"from collections import Counter\\n\",\n    \"\\n\",\n    \"# loading inputs (image, location, date/time)\\n\",\n    \"def load_examples():\\n\",\n    \"    \\\"\\\"\\\"Load example images\\\"\\\"\\\"\\n\",\n    \"    images = []\\n\",\n    \"    path = './examples'\\n\",\n    \"    fns = os.listdir(path)\\n\",\n    \"    for fn in fns:\\n\",\n    \"        fn = os.path.join(path, fn)\\n\",\n    \"        if '.jpg' in fn.lower():\\n\",\n    \"            img = Image.open(fn)\\n\",\n    \"            images.append(img)\\n\",\n    \"    \\n\",\n    \"    # datetimes = []\\n\",\n    \"    # for img in images:\\n\",\n    \"    #     datetimes.append(img.getexif()[306])\\n\",\n    \"\\n\",\n    \"    # sort images by time\\n\",\n    \"    images.sort(key=lambda im: im.getexif()[306])\\n\",\n    \"\\n\",\n    \"    return images\\n\",\n    \"\\n\",\n    \"def encode_image(img):\\n\",\n    \"    \\\"\\\"\\\"Encode an image using CLIP\\\"\\\"\\\"\\n\",\n    \"    image_input = socratic.model_dict['clip_preprocess'](img)\\\\\\n\",\n    \"        .unsqueeze(0).to(socratic.model_dict['device'])\\n\",\n    \"    with torch.no_grad():\\n\",\n    \"        image_features = socratic.model_dict['clip_model'].encode_image(image_input)\\n\",\n    \"        image_features /= image_features.norm(dim=-1, keepdim=True)\\n\",\n    \"    \\n\",\n    \"    return image_features\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"def visualize(images):\\n\",\n    \"    \\\"\\\"\\\"Show the first 36 images\\\"\\\"\\\"\\n\",\n    \"    plt.figure(figsize=(20,10))\\n\",\n    \"    columns = 9\\n\",\n    \"    for i, image in enumerate(images[:36]):\\n\",\n    \"        plt.subplot(len(images) // columns + 1, columns, i + 1)\\n\",\n    \"        plt.imshow(image)\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"def object_detection(images, embeddings=None, k=5):\\n\",\n    \"    \\\"\\\"\\\"Perform zero-shot image classification\\\"\\\"\\\"\\n\",\n    \"    model_dict = socratic.model_dict\\n\",\n    \"    drop_gpu = socratic.drop_gpu\\n\",\n    \"    result = []\\n\",\n    \"\\n\",\n    \"    for i, image in tqdm(enumerate(images), total=len(images)):\\n\",\n    \"        with torch.no_grad():\\n\",\n    \"            if embeddings is None:\\n\",\n    \"                image_input = model_dict['clip_preprocess'](image).unsqueeze(0).to(model_dict['device'])\\n\",\n    \"                image_features = model_dict['clip_model'].encode_image(image_input)\\n\",\n    \"                image_features /= image_features.norm(dim=-1, keepdim=True)\\n\",\n    \"            else:\\n\",\n    \"                image_features = embeddings[i]\\n\",\n    \"\\n\",\n    \"            sim = (100.0 * image_features @ model_dict['openimage_classifier_weights'].T).softmax(dim=-1)\\n\",\n    \"            openimage_scores, indices = [drop_gpu(tensor) for tensor in sim[0].topk(k)]\\n\",\n    \"            openimage_classes = [model_dict['openimage_classnames'][idx] for idx in indices]\\n\",\n    \"\\n\",\n    \"            sim = (100.0 * image_features @ model_dict['tencentml_classifier_weights'].T).softmax(dim=-1)\\n\",\n    \"            tencentml_scores, indices = [drop_gpu(tensor) for tensor in sim[0].topk(k)]\\n\",\n    \"            tencentml_classes = [model_dict['tencentml_classnames'][idx] for idx in indices]\\n\",\n    \"\\n\",\n    \"            sim = (100.0 * image_features @ model_dict['place365_classifier_weights'].T).softmax(dim=-1)\\n\",\n    \"            place365_scores, indices = [drop_gpu(tensor) for tensor in sim[0].topk(k)]\\n\",\n    \"            place365_classes = [model_dict['place365_classnames'][idx] for idx in indices]\\n\",\n    \"\\n\",\n    \"            objects = {'objects': openimage_classes + tencentml_classes,\\n\",\n    \"                       'places': place365_classes}\\n\",\n    \"            result.append(objects)\\n\",\n    \"\\n\",\n    \"    return result\\n\",\n    \"\\n\",\n    \"def create_segments(images, embeddings, objects):\\n\",\n    \"    \\\"\\\"\\\"Create segments of the timeline\\\"\\\"\\\"\\n\",\n    \"    # TODO: this part needs to be replaced by the values from LLEntries\\n\",\n    \"    def get_ts(obj):\\n\",\n    \"        img = obj[0]\\n\",\n    \"        return datetime.datetime.strptime(img.getexif()[306], '%Y:%m:%d %H:%M:%S').timestamp()\\n\",\n    \"\\n\",\n    \"    lst = [images]\\n\",\n    \"    if embeddings is not None:\\n\",\n    \"        lst.append(embeddings)\\n\",\n    \"    if objects is not None:\\n\",\n    \"        lst.append(objects)\\n\",\n    \"\\n\",\n    \"    items = list(zip(*lst))\\n\",\n    \"    eps = 1800\\n\",\n    \"    clusters = []\\n\",\n    \"    \\n\",\n    \"    curr_point = items[0]\\n\",\n    \"    curr_cluster = [curr_point]\\n\",\n    \"    for point in items[1:]:\\n\",\n    \"        if get_ts(point) <= get_ts(curr_point) + eps:\\n\",\n    \"            curr_cluster.append(point)\\n\",\n    \"        else:\\n\",\n    \"            clusters.append(curr_cluster)\\n\",\n    \"            curr_cluster = [point]\\n\",\n    \"        curr_point = point\\n\",\n    \"    clusters.append(curr_cluster)\\n\",\n    \"    return clusters\\n\",\n    \"\\n\",\n    \"def activity_detection(segment):\\n\",\n    \"    \\\"\\\"\\\"Classify activity of a segment by sending a query to Bloom\\\"\\\"\\\"\\n\",\n    \"    objects_cnt = Counter()\\n\",\n    \"    places_cnt = Counter()\\n\",\n    \"\\n\",\n    \"    for item in segment:\\n\",\n    \"        for o in item[2]['objects']:\\n\",\n    \"            objects_cnt[o] += 1\\n\",\n    \"        for p in item[2]['places']:\\n\",\n    \"            places_cnt[p] += 1\\n\",\n    \"    \\n\",\n    \"    sorted_places = list(zip(*places_cnt.most_common(3)))[0]\\n\",\n    \"    object_list = ', '.join(list(zip(*objects_cnt.most_common(10)))[0])\\n\",\n    \"\\n\",\n    \"    prompt = f'''I am an intelligent image captioning bot. \\n\",\n    \"       I am going to describe the activities in photos.\\n\",\n    \"       I think these photos were taken at a {sorted_places[0]}, {sorted_places[1]}, or {sorted_places[2]}.\\n\",\n    \"       I think there might be a {object_list} in thses photos.\\n\",\n    \"       I think the activities in these photos are:'''\\n\",\n    \"\\n\",\n    \"    response = socratic.generate_captions(prompt)\\n\",\n    \"    def postprocess(answer):\\n\",\n    \"        answer = answer.replace('\\\\n', ',').replace('-', ',').replace('.', ',')\\n\",\n    \"        items = [item.strip() for item in answer.split(',')]\\n\",\n    \"        items = list(Counter([item for item in items if len(item) >= 5]).keys())\\n\",\n    \"        return items\\n\",\n    \"    \\n\",\n    \"    return [postprocess(r) for r in response]\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"def process(images, locations=None, datetimes=None):\\n\",\n    \"    # obtain image embeddings\\n\",\n    \"    embeddings = []\\n\",\n    \"    if os.path.exists(\\\"embeddings.pkl\\\"):\\n\",\n    \"        print(\\\"Loading embeddings\\\")\\n\",\n    \"        embeddings = pickle.load(open(\\\"embeddings.pkl\\\", \\\"rb\\\"))\\n\",\n    \"    else:\\n\",\n    \"        print(\\\"Computing embeddings\\\")\\n\",\n    \"        for img in tqdm(images):\\n\",\n    \"            embeddings.append(encode_image(img))\\n\",\n    \"        pickle.dump(embeddings, open(\\\"embeddings.pkl\\\", \\\"wb\\\"))\\n\",\n    \"\\n\",\n    \"    # image deduplication: find images with cosine similarity over a threshold\\n\",\n    \"    # visualize(images)\\n\",\n    \"    dedup_images = []\\n\",\n    \"    dedup_embeddings = []\\n\",\n    \"    for i in range(len(images)):\\n\",\n    \"        emb_i = embeddings[i]\\n\",\n    \"        duplicate = False\\n\",\n    \"        for j in range(i):\\n\",\n    \"            emb_j = embeddings[j]\\n\",\n    \"            sim = torch.dot(emb_i.squeeze(0), emb_j.squeeze(0)).numpy()\\n\",\n    \"            if sim > 0.9:\\n\",\n    \"                duplicate = True\\n\",\n    \"                break\\n\",\n    \"        if not duplicate:\\n\",\n    \"            dedup_images.append(images[i])\\n\",\n    \"            dedup_embeddings.append(embeddings[i])\\n\",\n    \"    \\n\",\n    \"    print(\\\"number of images before deduplicate: \\\", len(images))\\n\",\n    \"    print(\\\"number of images after deduplicate: \\\", len(dedup_images))\\n\",\n    \"    # visualize(dedup_images)\\n\",\n    \"\\n\",\n    \"    # object detection\\n\",\n    \"    objects = object_detection(dedup_images, dedup_embeddings)\\n\",\n    \"    for line in objects:\\n\",\n    \"        print(line)\\n\",\n    \"\\n\",\n    \"    # segment images\\n\",\n    \"    # visualize(dedup_images)\\n\",\n    \"    segments = create_segments(dedup_images, dedup_embeddings, objects)\\n\",\n    \"    for seg in segments:\\n\",\n    \"        imgs = [s[0] for s in seg]\\n\",\n    \"        visualize(imgs)\\n\",\n    \"\\n\",\n    \"    # run activity detection\\n\",\n    \"    for seg in segments:\\n\",\n    \"        activity = activity_detection(seg)\\n\",\n    \"        print(activity)\\n\",\n    \"    \\n\",\n    \"\\n\",\n    \"images = load_examples()[:50]\\n\",\n    \"process(images)\\n\",\n    \"# print(len(images))\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3.10.4 ('pim-photos')\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.4\"\n  },\n  \"orig_nbformat\": 4,\n  \"vscode\": {\n   \"interpreter\": {\n    \"hash\": \"4e360285e0aa23439735734f1cfec742ebe38dcab0a20e72d18eb4f99981b9c0\"\n   }\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}\n"
  },
  {
    "path": "src/ingest/enrichment/socratic/prompts/__init__.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\n"
  },
  {
    "path": "src/ingest/enrichment/socratic/prompts/categories_places365.txt",
    "content": "/a/airfield 0\n/a/airplane_cabin 1\n/a/airport_terminal 2\n/a/alcove 3\n/a/alley 4\n/a/amphitheater 5\n/a/amusement_arcade 6\n/a/amusement_park 7\n/a/apartment_building/outdoor 8\n/a/aquarium 9\n/a/aqueduct 10\n/a/arcade 11\n/a/arch 12\n/a/archaelogical_excavation 13\n/a/archive 14\n/a/arena/hockey 15\n/a/arena/performance 16\n/a/arena/rodeo 17\n/a/army_base 18\n/a/art_gallery 19\n/a/art_school 20\n/a/art_studio 21\n/a/artists_loft 22\n/a/assembly_line 23\n/a/athletic_field/outdoor 24\n/a/atrium/public 25\n/a/attic 26\n/a/auditorium 27\n/a/auto_factory 28\n/a/auto_showroom 29\n/b/badlands 30\n/b/bakery/shop 31\n/b/balcony/exterior 32\n/b/balcony/interior 33\n/b/ball_pit 34\n/b/ballroom 35\n/b/bamboo_forest 36\n/b/bank_vault 37\n/b/banquet_hall 38\n/b/bar 39\n/b/barn 40\n/b/barndoor 41\n/b/baseball_field 42\n/b/basement 43\n/b/basketball_court/indoor 44\n/b/bathroom 45\n/b/bazaar/indoor 46\n/b/bazaar/outdoor 47\n/b/beach 48\n/b/beach_house 49\n/b/beauty_salon 50\n/b/bedchamber 51\n/b/bedroom 52\n/b/beer_garden 53\n/b/beer_hall 54\n/b/berth 55\n/b/biology_laboratory 56\n/b/boardwalk 57\n/b/boat_deck 58\n/b/boathouse 59\n/b/bookstore 60\n/b/booth/indoor 61\n/b/botanical_garden 62\n/b/bow_window/indoor 63\n/b/bowling_alley 64\n/b/boxing_ring 65\n/b/bridge 66\n/b/building_facade 67\n/b/bullring 68\n/b/burial_chamber 69\n/b/bus_interior 70\n/b/bus_station/indoor 71\n/b/butchers_shop 72\n/b/butte 73\n/c/cabin/outdoor 74\n/c/cafeteria 75\n/c/campsite 76\n/c/campus 77\n/c/canal/natural 78\n/c/canal/urban 79\n/c/candy_store 80\n/c/canyon 81\n/c/car_interior 82\n/c/carrousel 83\n/c/castle 84\n/c/catacomb 85\n/c/cemetery 86\n/c/chalet 87\n/c/chemistry_lab 88\n/c/childs_room 89\n/c/church/indoor 90\n/c/church/outdoor 91\n/c/classroom 92\n/c/clean_room 93\n/c/cliff 94\n/c/closet 95\n/c/clothing_store 96\n/c/coast 97\n/c/cockpit 98\n/c/coffee_shop 99\n/c/computer_room 100\n/c/conference_center 101\n/c/conference_room 102\n/c/construction_site 103\n/c/corn_field 104\n/c/corral 105\n/c/corridor 106\n/c/cottage 107\n/c/courthouse 108\n/c/courtyard 109\n/c/creek 110\n/c/crevasse 111\n/c/crosswalk 112\n/d/dam 113\n/d/delicatessen 114\n/d/department_store 115\n/d/desert/sand 116\n/d/desert/vegetation 117\n/d/desert_road 118\n/d/diner/outdoor 119\n/d/dining_hall 120\n/d/dining_room 121\n/d/discotheque 122\n/d/doorway/outdoor 123\n/d/dorm_room 124\n/d/downtown 125\n/d/dressing_room 126\n/d/driveway 127\n/d/drugstore 128\n/e/elevator/door 129\n/e/elevator_lobby 130\n/e/elevator_shaft 131\n/e/embassy 132\n/e/engine_room 133\n/e/entrance_hall 134\n/e/escalator/indoor 135\n/e/excavation 136\n/f/fabric_store 137\n/f/farm 138\n/f/fastfood_restaurant 139\n/f/field/cultivated 140\n/f/field/wild 141\n/f/field_road 142\n/f/fire_escape 143\n/f/fire_station 144\n/f/fishpond 145\n/f/flea_market/indoor 146\n/f/florist_shop/indoor 147\n/f/food_court 148\n/f/football_field 149\n/f/forest/broadleaf 150\n/f/forest_path 151\n/f/forest_road 152\n/f/formal_garden 153\n/f/fountain 154\n/g/galley 155\n/g/garage/indoor 156\n/g/garage/outdoor 157\n/g/gas_station 158\n/g/gazebo/exterior 159\n/g/general_store/indoor 160\n/g/general_store/outdoor 161\n/g/gift_shop 162\n/g/glacier 163\n/g/golf_course 164\n/g/greenhouse/indoor 165\n/g/greenhouse/outdoor 166\n/g/grotto 167\n/g/gymnasium/indoor 168\n/h/hangar/indoor 169\n/h/hangar/outdoor 170\n/h/harbor 171\n/h/hardware_store 172\n/h/hayfield 173\n/h/heliport 174\n/h/highway 175\n/h/home_office 176\n/h/home_theater 177\n/h/hospital 178\n/h/hospital_room 179\n/h/hot_spring 180\n/h/hotel/outdoor 181\n/h/hotel_room 182\n/h/house 183\n/h/hunting_lodge/outdoor 184\n/i/ice_cream_parlor 185\n/i/ice_floe 186\n/i/ice_shelf 187\n/i/ice_skating_rink/indoor 188\n/i/ice_skating_rink/outdoor 189\n/i/iceberg 190\n/i/igloo 191\n/i/industrial_area 192\n/i/inn/outdoor 193\n/i/islet 194\n/j/jacuzzi/indoor 195\n/j/jail_cell 196\n/j/japanese_garden 197\n/j/jewelry_shop 198\n/j/junkyard 199\n/k/kasbah 200\n/k/kennel/outdoor 201\n/k/kindergarden_classroom 202\n/k/kitchen 203\n/l/lagoon 204\n/l/lake/natural 205\n/l/landfill 206\n/l/landing_deck 207\n/l/laundromat 208\n/l/lawn 209\n/l/lecture_room 210\n/l/legislative_chamber 211\n/l/library/indoor 212\n/l/library/outdoor 213\n/l/lighthouse 214\n/l/living_room 215\n/l/loading_dock 216\n/l/lobby 217\n/l/lock_chamber 218\n/l/locker_room 219\n/m/mansion 220\n/m/manufactured_home 221\n/m/market/indoor 222\n/m/market/outdoor 223\n/m/marsh 224\n/m/martial_arts_gym 225\n/m/mausoleum 226\n/m/medina 227\n/m/mezzanine 228\n/m/moat/water 229\n/m/mosque/outdoor 230\n/m/motel 231\n/m/mountain 232\n/m/mountain_path 233\n/m/mountain_snowy 234\n/m/movie_theater/indoor 235\n/m/museum/indoor 236\n/m/museum/outdoor 237\n/m/music_studio 238\n/n/natural_history_museum 239\n/n/nursery 240\n/n/nursing_home 241\n/o/oast_house 242\n/o/ocean 243\n/o/office 244\n/o/office_building 245\n/o/office_cubicles 246\n/o/oilrig 247\n/o/operating_room 248\n/o/orchard 249\n/o/orchestra_pit 250\n/p/pagoda 251\n/p/palace 252\n/p/pantry 253\n/p/park 254\n/p/parking_garage/indoor 255\n/p/parking_garage/outdoor 256\n/p/parking_lot 257\n/p/pasture 258\n/p/patio 259\n/p/pavilion 260\n/p/pet_shop 261\n/p/pharmacy 262\n/p/phone_booth 263\n/p/physics_laboratory 264\n/p/picnic_area 265\n/p/pier 266\n/p/pizzeria 267\n/p/playground 268\n/p/playroom 269\n/p/plaza 270\n/p/pond 271\n/p/porch 272\n/p/promenade 273\n/p/pub/indoor 274\n/r/racecourse 275\n/r/raceway 276\n/r/raft 277\n/r/railroad_track 278\n/r/rainforest 279\n/r/reception 280\n/r/recreation_room 281\n/r/repair_shop 282\n/r/residential_neighborhood 283\n/r/restaurant 284\n/r/restaurant_kitchen 285\n/r/restaurant_patio 286\n/r/rice_paddy 287\n/r/river 288\n/r/rock_arch 289\n/r/roof_garden 290\n/r/rope_bridge 291\n/r/ruin 292\n/r/runway 293\n/s/sandbox 294\n/s/sauna 295\n/s/schoolhouse 296\n/s/science_museum 297\n/s/server_room 298\n/s/shed 299\n/s/shoe_shop 300\n/s/shopfront 301\n/s/shopping_mall/indoor 302\n/s/shower 303\n/s/ski_resort 304\n/s/ski_slope 305\n/s/sky 306\n/s/skyscraper 307\n/s/slum 308\n/s/snowfield 309\n/s/soccer_field 310\n/s/stable 311\n/s/stadium/baseball 312\n/s/stadium/football 313\n/s/stadium/soccer 314\n/s/stage/indoor 315\n/s/stage/outdoor 316\n/s/staircase 317\n/s/storage_room 318\n/s/street 319\n/s/subway_station/platform 320\n/s/supermarket 321\n/s/sushi_bar 322\n/s/swamp 323\n/s/swimming_hole 324\n/s/swimming_pool/indoor 325\n/s/swimming_pool/outdoor 326\n/s/synagogue/outdoor 327\n/t/television_room 328\n/t/television_studio 329\n/t/temple/asia 330\n/t/throne_room 331\n/t/ticket_booth 332\n/t/topiary_garden 333\n/t/tower 334\n/t/toyshop 335\n/t/train_interior 336\n/t/train_station/platform 337\n/t/tree_farm 338\n/t/tree_house 339\n/t/trench 340\n/t/tundra 341\n/u/underwater/ocean_deep 342\n/u/utility_room 343\n/v/valley 344\n/v/vegetable_garden 345\n/v/veterinarians_office 346\n/v/viaduct 347\n/v/village 348\n/v/vineyard 349\n/v/volcano 350\n/v/volleyball_court/outdoor 351\n/w/waiting_room 352\n/w/water_park 353\n/w/water_tower 354\n/w/waterfall 355\n/w/watering_hole 356\n/w/wave 357\n/w/wet_bar 358\n/w/wheat_field 359\n/w/wind_farm 360\n/w/windmill 361\n/y/yard 362\n/y/youth_hostel 363\n/z/zen_garden 364"
  },
  {
    "path": "src/ingest/enrichment/socratic/prompts/extract_text_features.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nimport numpy as np\nimport torch\nimport clip\nimport csv\nimport tqdm\nfrom profanity_filter import ProfanityFilter\n\n\ntemplates = [\n    lambda c: f'a bad photo of a {c}.',\n    lambda c: f'a photo of many {c}.',\n    lambda c: f'a sculpture of a {c}.',\n    lambda c: f'a photo of the hard to see {c}.',\n    lambda c: f'a low resolution photo of the {c}.',\n    lambda c: f'a rendering of a {c}.',\n    lambda c: f'graffiti of a {c}.',\n    lambda c: f'a bad photo of the {c}.',\n    lambda c: f'a cropped photo of the {c}.',\n    lambda c: f'a tattoo of a {c}.',\n    lambda c: f'the embroidered {c}.',\n    lambda c: f'a photo of a hard to see {c}.',\n    lambda c: f'a bright photo of a {c}.',\n    lambda c: f'a photo of a clean {c}.',\n    lambda c: f'a photo of a dirty {c}.',\n    lambda c: f'a dark photo of the {c}.',\n    lambda c: f'a drawing of a {c}.',\n    lambda c: f'a photo of my {c}.',\n    lambda c: f'the plastic {c}.',\n    lambda c: f'a photo of the cool {c}.',\n    lambda c: f'a close-up photo of a {c}.',\n    lambda c: f'a black and white photo of the {c}.',\n    lambda c: f'a painting of the {c}.',\n    lambda c: f'a painting of a {c}.',\n    lambda c: f'a pixelated photo of the {c}.',\n    lambda c: f'a sculpture of the {c}.',\n    lambda c: f'a bright photo of the {c}.',\n    lambda c: f'a cropped photo of a {c}.',\n    lambda c: f'a plastic {c}.',\n    lambda c: f'a photo of the dirty {c}.',\n    lambda c: f'a jpeg corrupted photo of a {c}.',\n    lambda c: f'a blurry photo of the {c}.',\n    lambda c: f'a photo of the {c}.',\n    lambda c: f'a good photo of the {c}.',\n    lambda c: f'a rendering of the {c}.',\n    lambda c: f'a {c} in a video game.',\n    lambda c: f'a photo of one {c}.',\n    lambda c: f'a doodle of a {c}.',\n    lambda c: f'a close-up photo of the {c}.',\n    lambda c: f'a photo of a {c}.',\n    lambda c: f'the origami {c}.',\n    lambda c: f'the {c} in a video game.',\n    lambda c: f'a sketch of a {c}.',\n    lambda c: f'a doodle of the {c}.',\n    lambda c: f'a origami {c}.',\n    lambda c: f'a low resolution photo of a {c}.',\n    lambda c: f'the toy {c}.',\n    lambda c: f'a rendition of the {c}.',\n    lambda c: f'a photo of the clean {c}.',\n    lambda c: f'a photo of a large {c}.',\n    lambda c: f'a rendition of a {c}.',\n    lambda c: f'a photo of a nice {c}.',\n    lambda c: f'a photo of a weird {c}.',\n    lambda c: f'a blurry photo of a {c}.',\n    lambda c: f'a cartoon {c}.',\n    lambda c: f'art of a {c}.',\n    lambda c: f'a sketch of the {c}.',\n    lambda c: f'a embroidered {c}.',\n    lambda c: f'a pixelated photo of a {c}.',\n    lambda c: f'itap of the {c}.',\n    lambda c: f'a jpeg corrupted photo of the {c}.',\n    lambda c: f'a good photo of a {c}.',\n    lambda c: f'a plushie {c}.',\n    lambda c: f'a photo of the nice {c}.',\n    lambda c: f'a photo of the small {c}.',\n    lambda c: f'a photo of the weird {c}.',\n    lambda c: f'the cartoon {c}.',\n    lambda c: f'art of the {c}.',\n    lambda c: f'a drawing of the {c}.',\n    lambda c: f'a photo of the large {c}.',\n    lambda c: f'a black and white photo of a {c}.',\n    lambda c: f'the plushie {c}.',\n    lambda c: f'a dark photo of a {c}.',\n    lambda c: f'itap of a {c}.',\n    lambda c: f'graffiti of the {c}.',\n    lambda c: f'a toy {c}.',\n    lambda c: f'itap of my {c}.',\n    lambda c: f'a photo of a cool {c}.',\n    lambda c: f'a photo of a small {c}.',\n    lambda c: f'a tattoo of the {c}.',\n]\n\nos.environ['CUDA_VISIBLE_DEVICES'] = '0'\ndevice = \"cuda\" if torch.cuda.is_available() else \"cpu\"\nclip_model, clip_preprocess = clip.load(\"ViT-L/14\", device=device)\n\n'''\ncsv_data = open('openimage-classnames.csv')\ncsv_reader = csv.reader(csv_data)\nclass_names = []\nfor row in csv_reader:\n    class_names.append(row[-1])\n'''\n'''\ntxt_data = open('tencent-ml-images.txt')\npf = ProfanityFilter()\nlines = txt_data.readlines()\nclass_names = []\nfor line in lines[4:]:\n    class_name_precook = line.strip().split('\\t')[-1]\n    safe_list = ''\n    for class_name in class_name_precook.split(', '):\n        if pf.is_clean(class_name):\n            safe_list += '%s, ' % class_name\n    safe_list = safe_list[:-2]\n    if len(safe_list) > 0:\n        class_names.append(safe_list)\nf_w = open('tencent-ml-classnames.txt', 'w')\nfor cln in class_names:\n    f_w.write('%s\\n' % cln)\nf_w.close()\n'''\nplace_categories = np.loadtxt('categories_places365.txt', dtype=str)\nplace_texts = []\nfor place in place_categories[:, 0]:\n    place = place.split('/')[2:]\n    if len(place) > 1:\n        place = place[1] + ' ' + place[0]\n    else:\n        place = place[0]\n    place = place.replace('_', ' ')\n    place_texts.append(place)\nclass_names = place_texts\nf_w = open('place365-classnames.txt', 'w')\nfor cln in class_names:\n    f_w.write('%s\\n' % cln)\nf_w.close()\nprint(class_names)\n\nclass_weights = []\nwith torch.no_grad():\n    for classname in tqdm.tqdm(class_names, desc='encoding text'):\n        texts = [template(classname) for template in templates]\n        text_inputs = clip.tokenize(texts).to(device)\n        text_features = clip_model.encode_text(text_inputs)\n        text_features /= text_features.norm(dim=-1, keepdim=True)\n        text_features = text_features.mean(dim=0)\n        text_features /= text_features.norm()\n        class_weights.append(text_features)\n\nclass_weights = torch.stack(class_weights)\nprint(class_weights.shape)\n#torch.save(class_weights, 'clip_ViTL14_openimage_classifier_weights.pt')\ntorch.save(class_weights, 'clip_ViTL14_place365_classifier_weights.pt')\n"
  },
  {
    "path": "src/ingest/enrichment/socratic/prompts/openimage-classnames.csv",
    "content": "/m/0100nhbf,Sprenger's tulip\r\n/m/0104x9kv,Vinegret\r\n/m/0105jzwx,Dabu-dabu\r\n/m/0105ld7g,Pistachio ice cream\r\n/m/0105lxy5,Woku\r\n/m/0105n86x,Pastila\r\n/m/0105ts35,Burasa\r\n/m/0108_09c,Summer snowflake\r\n/m/01_097,Airmail\r\n/m/010dmf,Isle of man tt\r\n/m/010jjr,Amusement park\r\n/m/010l12,Roller coaster\r\n/m/010lq47b,Witch hat\r\n/m/010ls_cv,Sandwich Cookies\r\n/m/01_0wf,Common Nighthawk\r\n/m/010xc,Aspartame\r\n/m/01127,Air conditioning\r\n/m/01_12b,Granny smith\r\n/m/0114n,Atari jaguar\r\n/m/01154,Atari lynx\r\n/m/011_6p,Kazoo\r\n/m/0117_25k,Saffron crocus\r\n/m/01172_8x,Pencil skirt\r\n/m/0117wzjg,Zenvo ST\r\n/m/0117z,Air show\r\n/m/0118b5n4,May day\r\n/m/0118ms9c,Reflex camera\r\n/m/0118n_9r,Water bottle\r\n/m/0118n_nl,Unleavened bread\r\n/m/0118q29r,Ides of march\r\n/m/01195jk4,Jean short\r\n/m/0119x1zy,Bun\r\n/m/0119x27p,Cocker spaniel\r\n/m/011b3pkg,Giant freshwater stingray\r\n/m/011b986k,Rockhopper penguin\r\n/m/011bc8hg,Camomile\r\n/m/011bfkzx,Beaglier\r\n/m/011_dp,Membranophone\r\n/m/011_f4,String instrument\r\n/m/011_g9,Wind instrument\r\n/m/011j2w,Shuriken\r\n/m/011jbn,Gourd\r\n/m/011jng,Fiber\r\n/m/011jxn,Lasagne\r\n/m/011k07,Tortoise\r\n/m/011k_j,Timpani\r\n/m/011l1,Afghan hound\r\n/m/011l78,Team\r\n/m/011l9w,Lard\r\n/m/011_lb,Vespa\r\n/m/011lf0ff,Mardi Gras\r\n/m/011lh,Azawakh\r\n/m/011ljn,Velvet\r\n/m/011lqk,Porter\r\n/m/011lx,Acrylic paint\r\n/m/011_my,Idiophone\r\n/m/011q345l,Madrean Alligator Lizard\r\n/m/011q46kg,Container\r\n/m/011s0,Advertising\r\n/m/011v5tq3,Media player\r\n/m/011vvm,Isthmus\r\n/m/011x96,Groundhog day\r\n/m/011xdj,Meringue\r\n/m/011xn7,Laser diode\r\n/m/011_xr,Azalea\r\n/m/011xyw,Peanut butter and jelly sandwich\r\n/m/011xz6,Acura\r\n/m/011y23,Stained glass\r\n/m/011yvr,Plantation\r\n/m/011zhg,Citroën sm\r\n/m/012015,Stone tool\r\n/m/012047,Narcissus\r\n/m/01205h,Ferret\r\n/m/012074,Magpie\r\n/m/0120dh,Sea turtle\r\n/m/0121d8,Historic house\r\n/m/0121tl,Electronic instrument\r\n/m/0121ww,Leprechaun\r\n/m/01224j,Hearth\r\n/m/01224x,Sparkling wine\r\n/m/01226z,General football\r\n/m/0122b5,Newsprint\r\n/m/01_2_2,Northrop t-38 talon\r\n/m/0123gb,Egret\r\n/m/01240d,Tuber\r\n/m/01244y,Salting\r\n/m/01245r,Raclette\r\n/m/0124h9,Poinsettia\r\n/m/0125ct,Vacuum flask\r\n/m/0125ny,Lake district\r\n/m/0125vz,Tears\r\n/m/0125zxmr,National sovereignty and children's day\r\n/m/01261z_4,Cliff jumping\r\n/m/0126gc,Reindeer\r\n/m/012757,Fluorescent lamp\r\n/m/0127jv,Beardtongue\r\n/m/0127_k,Spark plug\r\n/m/0127n5,Mussel\r\n/m/01280g,Wildlife\r\n/m/01295w,Galliformes\r\n/m/0129f4,Chemical compound\r\n/m/0129nn,Rook\r\n/m/012b4l,Projectile\r\n/m/012blf,Icelandic sheepdog\r\n/m/012c3y,Succotash\r\n/m/012c4n,Cucurbita\r\n/m/012c9l,Domestic short-haired cat\r\n/m/012cc2,Russian blue\r\n/m/012ckm,Bonfire\r\n/m/012clv,Lepidopterist\r\n/m/012crnhf,Sheep milk cheese\r\n/m/012d_c,Blacksmith\r\n/m/012f08,Motor vehicle\r\n/m/012fqz,Ocarina\r\n/m/012fyw,Air gun\r\n/m/012gxj,Gazelle\r\n/m/012h24,Comics\r\n/m/012hvb,Corset\r\n/m/01_2jf,Nettle family\r\n/m/012jg5,Manx\r\n/m/012jgm,Cymric\r\n/m/012jh9,Scottish fold\r\n/m/012jj1,Oceanic trench\r\n/m/012k5z,Munchkin\r\n/m/012k6q,Ocicat\r\n/m/012kcmdn,Pyronia\r\n/m/012lk9,Player piano\r\n/m/012lnv,Himalayan\r\n/m/012lr2,Devon rex\r\n/m/012ltm,Birman\r\n/m/012m_1nb,Poker primrose\r\n/m/012m2gkh,Chequered skipper\r\n/m/012m47,Chinese new year\r\n/m/012mc7bq,Dr. Manhattan\r\n/m/012mj,Alcoholic beverage\r\n/m/012mpq,Gouda cheese\r\n/m/012mq4,Sports car\r\n/m/012mqx,Iceberg\r\n/m/012ms7,Osprey\r\n/m/012n4x,Firefighter\r\n/m/012n7d,Ambulance\r\n/m/012n91,Emergency service\r\n/m/012nd2,Hospital ship\r\n/m/012ndj,Fire apparatus\r\n/m/012pld,Sex toy\r\n/m/012q9c,Bodyguard\r\n/m/012qcd,Swat\r\n/m/012qdp,Military officer\r\n/m/012q_x,Coast guard\r\n/m/012qyb,Barber\r\n/m/012r819z,Aphantopus\r\n/m/012rq8,Treasure\r\n/m/012rvq,Reconnaissance\r\n/m/012s89,Ford pinto\r\n/m/012sbd,Tournament\r\n/m/012shk,Seabird\r\n/m/012svh,Red envelope\r\n/m/012tq3,Republic p-47 thunderbolt\r\n/m/012t_z,Businessperson\r\n/m/012v4j,Hiking\r\n/m/012v6r,Sikorsky sh-3 sea king\r\n/m/012v8q,Bog\r\n/m/012vt9,Flautist\r\n/m/012vtp,Oboist\r\n/m/012vv0,Violist\r\n/m/012vzz,Plant pathology\r\n/m/012w5l,Ladder\r\n/m/012wds,Schutzhund\r\n/m/012wfx,Camshaft\r\n/m/012ww9,Archaeological site\r\n/m/012wxt,Vj\r\n/m/012x5p,Bento\r\n/m/012x6_,Japanese festivals\r\n/m/012x6l,Laundry\r\n/m/012x_7,Osechi\r\n/m/012xb8,Nabemono\r\n/m/012xc3,Miso soup\r\n/m/012xff,Toothbrush\r\n/m/012xfx,Hinamatsuri\r\n/m/012xhn,Slam dunk\r\n/m/012xjl,Toothpaste\r\n/m/012x_n,Okonomiyaki\r\n/m/012xv6,Dango\r\n/m/012xxb,Shichi-go-san\r\n/m/012xxq,Rice ball\r\n/m/012xyy,Hiyayakko\r\n/m/012xzr,Tempura\r\n/m/012y0l,Mochi\r\n/m/012y1_,Soba\r\n/m/012y2h,Brazilian food\r\n/m/012yh1,Style\r\n/m/012ysf,Syringe\r\n/m/012z2g,Volute\r\n/m/012zzh,Somali\r\n/m/01305f,Condor\r\n/m/0130ck,Pisco\r\n/m/0130jx,Sink\r\n/m/0130qm,Citroën zx\r\n/m/013_1c,Statue\r\n/m/0132_3,Uirō\r\n/m/0132v0,Red bean soup\r\n/m/0132vv,American bobtail\r\n/m/0132wl,Japanese bobtail\r\n/m/0132x9,Kakigōri\r\n/m/0133d8,Porsche cayenne\r\n/m/0133pl,Victorian\r\n/m/0133tk,Ballistic vest\r\n/m/01_33t,Northrop f-20 tigershark\r\n/m/013_44,Leotard\r\n/m/0134kz,Zabaione\r\n/m/0134l,Autumn\r\n/m/0134zdgk,Multigrain bread\r\n/m/01350r,Performance art\r\n/m/013__5,Leek\r\n/m/0137k8,Boeing 737\r\n/m/01384_,Jam\r\n/m/0138tl,Toy\r\n/m/013992,Lathe\r\n/m/01399x,Pipe organ\r\n/m/0139zp,Black pepper\r\n/m/013bml,Military rank\r\n/m/013btk,Lark\r\n/m/013bx,Absinthe\r\n/m/013c1m,Mcdonnell douglas dc-10\r\n/m/01_3j6,Pumpkin pie\r\n/m/01_3kg,Great horned owl\r\n/m/013m1,Air force\r\n/m/013m9w,Mister fantastic\r\n/m/013p8k,Musical bow\r\n/m/013phj,Pontiac vibe\r\n/m/013q4y,Cheeseburger\r\n/m/013q65,Jelly bean\r\n/m/013q6y,Candy corn\r\n/m/013rc8,Rebec\r\n/m/013r_l,Green iguana\r\n/m/013s93,T-shirt\r\n/m/013sbk,Aquatic plant\r\n/m/013sd_,Lingonberry\r\n/m/013sr7,Boeing 757\r\n/m/013swf,Corvette\r\n/m/013v0m,Rooibos\r\n/m/013v4j,Persimmon\r\n/m/013vs,Afterglow\r\n/m/013vxd,Bulbul\r\n/m/013w5c,Boeing 717\r\n/m/013wxq,Rutabaga\r\n/m/013x4m,Radiology\r\n/m/013x8v,Fan\r\n/m/013xbf,Electrical connector\r\n/m/013xk6,Banana family\r\n/m/013xl3,Hovercraft\r\n/m/013xlm,Tractor\r\n/m/013y0j,Organ\r\n/m/013y1f,Organ\r\n/m/013yjr,Ensete\r\n/m/013ysd,Portuguese man o' war\r\n/m/01_403,Eid al-adha\r\n/m/0140x2,Christmas carol\r\n/m/0140x,Mcdonnell douglas av-8b harrier ii\r\n/m/01423,Fairchild republic a-10 thunderbolt ii\r\n/m/0142m,Lockheed ac-130\r\n/m/0142pl,Duel\r\n/m/0142sg,One-piece garment\r\n/m/0142t_,Moat\r\n/m/0142vg,Sled\r\n/m/0142wf,Pajamas\r\n/m/0142y7,Spandex\r\n/m/01432t,Cassette deck\r\n/m/0143h2,Port wine\r\n/m/01443y,Headgear\r\n/m/01444p,Cloak\r\n/m/01445t,Athlete\r\n/m/0144np,Ph meter\r\n/m/0145sj,Procyonidae\r\n/m/014621,Parka\r\n/m/01474s,Vortex\r\n/m/0147vs,McDonnell Douglas\r\n/m/01482f,Brie\r\n/m/0148h8,Mink\r\n/m/0148n3,Eid al-fitr\r\n/m/01492b,Opera house\r\n/m/0149_7,Shrew\r\n/m/0149qc,Hair removal\r\n/m/0149r,Aquarium\r\n/m/0149w3,Shaving\r\n/m/014_cd,Crumhorn\r\n/m/014cnc,Student\r\n/m/014_d3,Ford taurus\r\n/m/014dn0,Sodium bicarbonate\r\n/m/014dsx,Travel\r\n/m/014f__,Supercar\r\n/m/01_4g6,Dungeon\r\n/m/014ht3,Cosplay\r\n/m/014hvd,Long island iced tea\r\n/m/014j1m,Apple\r\n/m/014jg3,Training\r\n/m/014jq0,Analog synthesizer\r\n/m/014jrm,Amphibious vehicle\r\n/m/014jz8,Udon\r\n/m/014kdf,Megatron\r\n/m/014kk_,Crescent\r\n/m/014l8n,Yogurt\r\n/m/014m0q,Ford model t\r\n/m/014mnd,Circus\r\n/m/014mpm,Intersection\r\n/m/014q3b,Cape\r\n/m/014q5m,Kyūdō\r\n/m/014qzr,Composite material\r\n/m/014r1s,Christmas eve\r\n/m/014rrf,Hybrid vehicle\r\n/m/014sg5,Viola\r\n/m/014sv8,Eye\r\n/m/014tl,Ammunition\r\n/m/014trl,Cosmetics\r\n/m/014v7p,Zebra crossing\r\n/m/014vnq,Donburi\r\n/m/014vsb,Burdock\r\n/m/014vtw,Tensoba\r\n/m/014wv,Agar\r\n/m/014xcs,Pedestrian crossing\r\n/m/014xqm,Earth day\r\n/m/014y4n,Paddle\r\n/m/014y53,Olfaction\r\n/m/014yck,Aircraft engine\r\n/m/014_z9,Apple pie\r\n/m/014zc9,Eskrima\r\n/m/014zdl,Explosion\r\n/m/014zv0,Stockbroker\r\n/m/014zz1,Hurdy gurdy\r\n/m/01504,Brass\r\n/m/0150fh,Ultralight aviation\r\n/m/01514,Ballroom dance\r\n/m/01515d,Flight\r\n/m/0151b0,Triangle\r\n/m/0151nd,Balaclava\r\n/m/0151tr,Ginger nut\r\n/m/0152cj,Melba toast\r\n/m/0152hh,Snowman\r\n/m/0152k3,Pectin\r\n/m/0152n0,Skeleton\r\n/m/0152pb,Yawl\r\n/m/0153bq,Mascot\r\n/m/01540,Biology\r\n/m/01_545,Jambalaya\r\n/m/01553z,Ratite\r\n/m/0155br,Sherry\r\n/m/0155hn,Carbon\r\n/m/0155_t,Shamrock\r\n/m/01564y,Lockheed c-5 galaxy\r\n/m/0156dy,Project\r\n/m/01_56q,Twist\r\n/m/0156sn,Ball\r\n/m/015_77,Walnut\r\n/m/0157l1,Cable-stayed bridge\r\n/m/0158_5,Cockpit\r\n/m/0158vt,Tunnel\r\n/m/01599,Beer\r\n/m/0159gt,Brewery\r\n/m/015b1y,Mai tai\r\n/m/015bv3,Document\r\n/m/015c4z,Sitting\r\n/m/015_d,Bomber\r\n/m/015dmz,Marlin\r\n/m/015fyw,Poppy\r\n/m/015g8h,Saturn\r\n/m/01_5g,Chopsticks\r\n/m/015h31,Animator\r\n/m/015h7g,New Years Day\r\n/m/01_5hj,Travel trailer\r\n/m/015h_t,Beard\r\n/m/015jwr,Swing\r\n/m/015k1g,Caller id\r\n/m/015k4l,Aphids\r\n/m/015k7,Gautama buddha\r\n/m/015k7l,Pepeke nguturoa\r\n/m/015kp7,Stratovolcano\r\n/m/015kr,Bridge\r\n/m/015l3b,Green dragon\r\n/m/015l7n,Bird-of-paradise\r\n/m/015l9_,Japanese beetle\r\n/m/015lbc,Crow-like bird\r\n/m/015lkb,Braided river\r\n/m/015ll,Board game\r\n/m/015l_t,Dust\r\n/m/015lz1,Singing\r\n/m/015m2,Bead\r\n/m/015mm6,Tights\r\n/m/015mr2,Lockheed p-3 orion\r\n/m/015mwc,Kimjongilia\r\n/m/015n_w,Future\r\n/m/015p6,Bird\r\n/m/01_5q8,Great grey owl\r\n/m/015qbp,Parking meter\r\n/m/015qcd,Payphone\r\n/m/015qff,Traffic light\r\n/m/015r61,Modern art\r\n/m/015rkd,Chicory\r\n/m/015rt,Bay leaf\r\n/m/015rvg,Wedding ring\r\n/m/015s2f,Water resources\r\n/m/015st5,Oil rig\r\n/m/015vmt,Rangefinder\r\n/m/015vt,Brassicales\r\n/m/015_vx,Beech\r\n/m/015w3y,Falafel\r\n/m/015w6q,Barbie\r\n/m/015w76,Avro lancaster\r\n/m/015w7p,Cauliflower\r\n/m/01_5wc,Clog\r\n/m/015wgc,Croissant\r\n/m/015x4r,Cucumber\r\n/m/015x5n,Radish\r\n/m/015x8t,Radio clock\r\n/m/015_x,Billiards\r\n/m/015_xj,Plane\r\n/m/015y82,African grey\r\n/m/015y8h,Jet aircraft\r\n/m/015z8s,Airbus a320 family\r\n/m/015zbk,Airbus a330\r\n/m/015z_b,Takeoff\r\n/m/015zfk,Food coloring\r\n/m/015zfz,Airbus\r\n/m/015zny,Metal detector\r\n/m/015zzv,Runway\r\n/m/0160dh,Fingerroot\r\n/m/016133,Handshake\r\n/m/01613k,Holding hands\r\n/m/0161df,Ulama\r\n/m/0162_1,Towel\r\n/m/0162j4,Rafting\r\n/m/0162v0,Kelp\r\n/m/0163gn,Paintball\r\n/m/0163q8,Flamingo\r\n/m/01645p,Avocado\r\n/m/016622,Tubular bell\r\n/m/01662y,Mulled wine\r\n/m/016676,Aerobics\r\n/m/0166ls,Park\r\n/m/0166z_,Pizzelle\r\n/m/01670y,Butterfly milkweed\r\n/m/0167gd,Doll\r\n/m/0167m6,Squad\r\n/m/0167s5,Non-commissioned officer\r\n/m/0167sn,Halibut\r\n/m/0168g6,Factory\r\n/m/016983,River delta\r\n/m/0169z3,Agedashi tofu\r\n/m/0169z_,Dashi\r\n/m/0169zh,Smartphone\r\n/m/016b0y,Okay\r\n/m/016b2k,Bramble\r\n/m/016b3m,Gravel\r\n/m/016_bh,Shadbush\r\n/m/016bn0,Omelette\r\n/m/016bpr,Recumbent bicycle\r\n/m/016bql,Igloo\r\n/m/016br2,Dome\r\n/m/016btq,Vineyard\r\n/m/016c3c,Graduation\r\n/m/016c4t,Ceremony\r\n/m/016c68,Adult\r\n/m/016cjb,Gospel music\r\n/m/016cps,Groundhog\r\n/m/016d87,Quandong\r\n/m/016dld,Jerky\r\n/m/016ds5,Seamount\r\n/m/016f4d,Porcelain\r\n/m/016f9d,Cowboy\r\n/m/016fly,Professor\r\n/m/016fqn,Douglas dc-3\r\n/m/016g2_,Lily family\r\n/m/016g4s,Chocolate milk\r\n/m/016g5h,Editing\r\n/m/016g8_,Tarmac\r\n/m/016gcr,Guru\r\n/m/016gq4,Mulberry\r\n/m/016gv1,Sassafras\r\n/m/016gvg,Station wagon\r\n/m/016h1k,Handcuffs\r\n/m/01_6hg,Delicatessen\r\n/m/016jhc,Veterans day\r\n/m/016jzl,Light meter\r\n/m/016kcw,King cobra\r\n/m/016m2d,Skull\r\n/m/01_6mc,Brambling\r\n/m/016ms7,Ford anglia\r\n/m/016nmn,Typesetting\r\n/m/016nqd,Shape\r\n/m/016nqt,Twig\r\n/m/016nsr,Marsh\r\n/m/016p7h,Herbes de provence\r\n/m/016pp7,Happy\r\n/m/016pxy,Buzkashi\r\n/m/016pzj,Kamaboko\r\n/m/016q19,Petal\r\n/m/016qdn,Suede\r\n/m/016rbg,Melon\r\n/m/016rh7,Spinach\r\n/m/016rvq,Dewberry\r\n/m/016sb3,Margarita\r\n/m/016sl1,Grain\r\n/m/016s_l,Saint patrick's day\r\n/m/016t5h,Juniper\r\n/m/016v5t,Ash Wednesday\r\n/m/016v69,Maundy thursday\r\n/m/016vt9,Christmas card\r\n/m/016vv0,Notebook\r\n/m/016wfy,Pomeranian\r\n/m/016wkx,Pug\r\n/m/016wmr,Arrest\r\n/m/016wtf,Sailor\r\n/m/016x44,Spruce\r\n/m/016x4z,Fir\r\n/m/016x87,Hawthorn\r\n/m/016xr_,Shock absorber\r\n/m/016xt7,Spoke\r\n/m/016yfz,Shiitake\r\n/m/016yx7,Gym\r\n/m/016yzl,Gypsy moth\r\n/m/016z4k,Singer-songwriter\r\n/m/016znt,Public utility\r\n/m/016zpp,Guava\r\n/m/016zss,Advocacy\r\n/m/0170gz,Nativity scene\r\n/m/0172jz,Bobcat\r\n/m/0172pk,Thuya\r\n/m/0173cb,Martin Luther King Jr. Day\r\n/m/0173tc,Chapel\r\n/m/01748f,Balcony\r\n/m/01748x,Gooseberry\r\n/m/0174g1,Cushion\r\n/m/0174k2,Washing machine\r\n/m/0174m3,Dry cleaning\r\n/m/0174n1,Glove\r\n/m/0174nj,Vinyl record\r\n/m/01752z,Guts\r\n/m/0175cv,Tick\r\n/m/01767_,Stocking\r\n/m/0176mf,Belt\r\n/m/017752,Toyota celica\r\n/m/0177_d,Pouchong\r\n/m/0177t1,Plaid\r\n/m/017832,Shetland pony\r\n/m/01784p,Christmas cracker\r\n/m/01786t,Tricycle\r\n/m/0178g,Boeing\r\n/m/0178j3,Dvd player\r\n/m/01_78k,Lockheed t-33\r\n/m/0179ms,Akvavit\r\n/m/0179pn,Gaffer tape\r\n/m/0179ss,Airsoft\r\n/m/017blf,Wheat beer\r\n/m/017bm6,Lens flare\r\n/m/017bml,Crème brûlée\r\n/m/017bqr,Duet\r\n/m/017bsd,Mg cars\r\n/m/017bst,Drosophila melanogaster\r\n/m/017c3w,Bonsai\r\n/m/017c7s,Proton\r\n/m/017cc,Brain\r\n/m/017clw,Laboratory\r\n/m/017ctv,Single malt scotch whisky\r\n/m/017cv5,Flight attendant\r\n/m/01_7cz,Dosa\r\n/m/017_cz,Major appliance\r\n/m/017d6t,Cessna 172\r\n/m/017dmf,Nissan skyline gt-r\r\n/m/017dpx,Caraway\r\n/m/017dqv,Fennel\r\n/m/017fp,Biography\r\n/m/017fr0,Balinese\r\n/m/017fsk,Norwegian forest cat\r\n/m/017ftj,Sunglasses\r\n/m/017fv0,Nebelung\r\n/m/017g5,B-boying\r\n/m/017h0w,Tattoo machine\r\n/m/017h86,Action figure\r\n/m/017hf,Beacon\r\n/m/017k_0,Posset\r\n/m/017k3t,Unicycle trials\r\n/m/017k44,Pachyrhizus\r\n/m/017kh0,Lentil\r\n/m/017knx,Nordic skiing\r\n/m/017kvv,Infrastructure\r\n/m/01_7l,Caffeine\r\n/m/017lg8,Samoyed\r\n/m/017ltm,Maypole\r\n/m/017lw7,American eskimo dog\r\n/m/017m8l,Waterway\r\n/m/017mgr,Zombie\r\n/m/017mln,Cracker\r\n/m/017mpc,Silver Maple\r\n/m/017mqg,Black maple\r\n/m/017n8q,Viking ships\r\n/m/017ndv,Telemark skiing\r\n/m/017_nw,Polikarpov i-16\r\n/m/017pqv,Incense\r\n/m/017pyl,Mesoamerican ballgame\r\n/m/017ql,Bank\r\n/m/017qzd,Patriarch\r\n/m/017r3f,Chameleon\r\n/m/017r3y,Videocassette recorder\r\n/m/01_7r6,Prescription drug\r\n/m/017r8p,Pedestrian\r\n/m/017rb5,Dombra\r\n/m/017rgb,Ferris wheel\r\n/m/017rnr,Amusement ride\r\n/m/017rtb,Panorama\r\n/m/017ssg,Boiler\r\n/m/017t3p,Airedale terrier\r\n/m/017v43,Sea anemone\r\n/m/017xql,Salsa\r\n/m/017xrt,Pomacanthidae\r\n/m/017xv3,Pomacentridae\r\n/m/017y_7,Maple sugar\r\n/m/017y8_,Terrier\r\n/m/017ycn,Songkran\r\n/m/017z01,French toast\r\n/m/017z0v,Toast\r\n/m/017z18,Small appliance\r\n/m/017z4t,Dal\r\n/m/017z5n,Boysenberry\r\n/m/017zl6,Scent hound\r\n/m/017zv8,Dornier do 17\r\n/m/0180xr,Neighbourhood\r\n/m/01811m,Wetsuit\r\n/m/01814z,Bodyboarding\r\n/m/0181h0,Suet\r\n/m/01820,Mustard and cabbage family\r\n/m/018220,Bull riding\r\n/m/01823g,Rodeo clown\r\n/m/0182_7,Martin b-10\r\n/m/0182yx,Shetland sheepdog\r\n/m/01833w,Outer space\r\n/m/01_83h,North american f-86 sabre\r\n/m/0183xd,Vizsla\r\n/m/0184rb,Pond\r\n/m/0184yy,Moss\r\n/m/0185n,Hitting a ball\r\n/m/018bp6,Baked beans\r\n/m/018c5j,Eagle scout\r\n/m/018cgx,Steamboat\r\n/m/018dlt,Eton wall game\r\n/m/018dxs,Tripe\r\n/m/018dy5,Pepperoni\r\n/m/018dz0,Salami\r\n/m/018dzj,Sauerkraut\r\n/m/018dz_,Kimchi\r\n/m/018f0l,Knödel\r\n/m/01_8f5,Churro\r\n/m/018g8j,Snails and slugs\r\n/m/018g_l,Rhodesian ridgeback\r\n/m/018gpn,Hurdling\r\n/m/018gxk,Teriyaki\r\n/m/018gx_,Mirin\r\n/m/018gz8,Comedian\r\n/m/018gzr,Sōmen\r\n/m/018_h5,Brigantine\r\n/m/018hjb,Sport kite\r\n/m/018hkd,Devilock\r\n/m/018hm8,Five-pin bowling\r\n/m/018_hn,Brig\r\n/m/018hzk,Cooking show\r\n/m/018j2,Banjo\r\n/m/018jqx,Ski resort\r\n/m/018jrr,Plan\r\n/m/018jz,Baseball\r\n/m/018kg,Baseball positions\r\n/m/018ktp,Watercolor paint\r\n/m/018kww,Teppanyaki\r\n/m/018kx9,Takoyaki\r\n/m/018l35,Pharmaceutical drug\r\n/m/018lrm,Arena\r\n/m/018m62,Clipboard\r\n/m/018nds,Daikon\r\n/m/018npg,Boeing 2707\r\n/m/018p4k,Cart\r\n/m/018rc1,Ground attack aircraft\r\n/m/018rk9,Sand dollar\r\n/m/018rl2,Airbus a380\r\n/m/018rmf,Swamp maple\r\n/m/018rn4,Choreography\r\n/m/018rp_,Black oak\r\n/m/018rqw,Wide-body aircraft\r\n/m/018rtl,Optometry\r\n/m/018sbr,Danish pastry\r\n/m/018skx,Wild ginger\r\n/m/018ssc,Groundcover\r\n/m/018tkd,Service\r\n/m/018tl7,Competition\r\n/m/018tvc,Holly\r\n/m/018vlf,Consolidated b-24 liberator\r\n/m/018vnz,Corn flakes\r\n/m/018vpr,Cliff\r\n/m/018_vr,Jelly babies\r\n/m/018vs6,Escarpment\r\n/m/018vs,Bass guitar\r\n/m/018w1s,Public library\r\n/m/018w8,Basketball\r\n/m/018wb3,Gamer\r\n/m/018wtr,Flowering dogwood\r\n/m/018wwb,Volkswagen golf\r\n/m/018x5d,Trench\r\n/m/018xm,Ball\r\n/m/018y5m,Valentine's day\r\n/m/018y_6,Inventory\r\n/m/018yrv,Barrel racing\r\n/m/018ywq,Scottish terrier\r\n/m/018z4d,Bloodhound\r\n/m/018z5l,Mikoyan–gurevich mig-15\r\n/m/018_z5,Meat pie\r\n/m/018zf1,Greater flamingo\r\n/m/018zg,Bastille day\r\n/m/018_zj,Sausage roll\r\n/m/018zp5,Fault\r\n/m/018zrn,Relay race\r\n/m/018zsg,Halva\r\n/m/0190bf,Boeing e-6 mercury\r\n/m/01_90z,Butterfly stroke\r\n/m/01911n,Chassis\r\n/m/0191_7,Retail\r\n/m/01919d,Home cinema\r\n/m/0191f8,Learning\r\n/m/0191hp,Oil tanker\r\n/m/019212,Loon\r\n/m/01925l,Perforate st john's wort\r\n/m/0192g7,Barque\r\n/m/0192gz,Viburnum\r\n/m/0192j6,Nannyberry\r\n/m/0192kg,Black gum\r\n/m/0192l,Bagpipes\r\n/m/01940j,Backpack\r\n/m/01943w,Ibis\r\n/m/0194d,Badminton\r\n/m/0194pv,Ivy family\r\n/m/0194v4,Singing sand\r\n/m/0195fx,Metro\r\n/m/0195rf,Vauxhall motors\r\n/m/0195tx,Thrush\r\n/m/019600,Spoonbill\r\n/m/01960s,Deadpool\r\n/m/0196s4,Landscape architect\r\n/m/019780,Traffic circle\r\n/m/0197mw,Blackbird\r\n/m/0197qd,Triggerfish\r\n/m/01987_,Home automation\r\n/m/0198cs,Extreme ironing\r\n/m/0199b0,Safari\r\n/m/0199g,Bike\r\n/m/019b80,Sweater\r\n/m/019bfk,Drooling\r\n/m/019brn,Dreadlocks\r\n/m/019c0x,Balafon\r\n/m/019c3t,Wool classing\r\n/m/019cfy,Stadium\r\n/m/019cpb,Mikoyan mig-29\r\n/m/019ctc,Galleon\r\n/m/019ctw,Sunday roast\r\n/m/019dx1,Home appliance\r\n/m/019dxh,Rabbits and Hares\r\n/m/019f1p,Zante currant\r\n/m/019f38,Pigs in blankets\r\n/m/019fpj,Diwali\r\n/m/019frm,T-72\r\n/m/019fs3,Sinkhole\r\n/m/019fwx,Douglas dc-8\r\n/m/019fyk,Raft\r\n/m/019gvf,Fluvial landforms of streams\r\n/m/019h78,Centipede\r\n/m/019jd,Boat\r\n/m/019jmv,Messerschmitt bf 109\r\n/m/019jw,Blood\r\n/m/019jx0,First-rate\r\n/m/019ktg,Dodge Viper\r\n/m/019ldr,Spanakopita\r\n/m/019lzv,Ballistic missile submarine\r\n/m/019mbd,Antenna\r\n/m/019mk7,Campfire\r\n/m/019mn6,Egyptian vulture\r\n/m/019nj4,Smile\r\n/m/019_nn,Friendship\r\n/m/019p5q,Gentleman\r\n/m/019pbk,Hoverfly\r\n/m/019pht,Mustard seed\r\n/m/019plg,Shopping cart\r\n/m/019qnn,Lotus elise\r\n/m/019qw9,Convertible\r\n/m/019rjn,Futsal\r\n/m/019rwt,Irish whiskey\r\n/m/019sc6,Lighting\r\n/m/019sc,Black\r\n/m/019swr,Knee\r\n/m/019t3g,Hydrogen vehicle\r\n/m/019t5_,Light cruiser\r\n/m/019t6d,Animal fat\r\n/m/019tql,Flagship\r\n/m/019tzd,Mountain biking\r\n/m/019tzr,Coffin\r\n/m/019v72,Shakuhachi\r\n/m/019v_8,Lotus elite\r\n/m/01_9v,Caesar salad\r\n/m/019vj1,Pasty\r\n/m/019v__,Tvr\r\n/m/019w40,Surfboard\r\n/m/019w5g,Calisthenics\r\n/m/019w6h,Exercise\r\n/m/019w9j,Rhythmic gymnastics\r\n/m/019ww6,Harness racing\r\n/m/019x4f,Carpenter\r\n/m/019x8g,Sheepdog trial\r\n/m/019xd,Battleship\r\n/m/019xdq,Sourdough\r\n/m/019y2n,Crwth\r\n/m/019yc,Battlecruiser\r\n/m/019yv2,Fire sprinkler system\r\n/m/019zgx,Volkswagen scirocco\r\n/m/01b02_,Burbot\r\n/m/01b2q6,Sunrise\r\n/m/01b2w5,Sunset\r\n/m/01b30l,Organist\r\n/m/01b3kg,Dawn\r\n/m/01b3l7,Dusk\r\n/m/01b41j,Arsenal\r\n/m/01b480,Drainage basin\r\n/m/01b4k8,Mandarin orange\r\n/m/01b4q9,Social group\r\n/m/01b503,Jeu de paume\n/m/01b57x,Trampolining\r\n/m/01b5dy,Jade\r\n/m/01b5gr,Para table tennis\r\n/m/01b5r_,Women's football\r\n/m/01b5w1,Machine tool\r\n/m/01b638,Boot\r\n/m/01b6qt,Pantyhose\r\n/m/01b7b1,Kitesurfing\r\n/m/01b7b,Bishop\r\n/m/01b7fy,Headphones\r\n/m/01b7rp,Oil lamp\r\n/m/01b7zv,Pudding\r\n/m/01b82r,Saw\r\n/m/01b87f,Cd player\r\n/m/01b92,Bone\r\n/m/01b93z,Harvestmen\r\n/m/01b958,Scaffolding\r\n/m/01b9_9,Wireless access point\r\n/m/01b9n4,Torii\r\n/m/01b9sh,Vegetable oil\r\n/m/01b9xk,Hot dog\r\n/m/01bb6j,Shovel\r\n/m/01bb9b,Motorcycle helmet\r\n/m/01bbvg,Star anise\r\n/m/01b_cr,Paisley\r\n/m/01bdg,Bouldering\r\n/m/01bdy,Bowling\r\n/m/01bf_1,Oatmeal\r\n/m/01bfm9,Shorts\r\n/m/01bfqc,Margarine\r\n/m/01bfqw,Cornmeal\r\n/m/01bfr_,Baking powder\r\n/m/01bfwv,Mixing console\r\n/m/01bg4m,Asafoetida\r\n/m/01bg5t,Coneflower\r\n/m/01bg6m,Ginger ale\r\n/m/01bg7s,Water well\r\n/m/01bgd_,Chutney\r\n/m/01bgl6,Purim\r\n/m/01bgsw,Toddler\r\n/m/01bhhn,Nail clipper\r\n/m/01bhms,Holy week\r\n/m/01_bhs,Fast food\r\n/m/01bjjm,Boeing b-47 stratojet\r\n/m/01bjv,Bus\r\n/m/01bjxj,Edible mushroom\r\n/m/01bjxx,Camera lens\r\n/m/01b_l2,Cardigan\r\n/m/01bl2r,Oyakodon\r\n/m/01bl7v,Boy\r\n/m/01blkn,Bullfighting\r\n/m/01blmn,Turkey Vulture\r\n/m/01bmhj,Thumb\r\n/m/01bms0,Screwdriver\r\n/m/01bnqx,Absolut vodka\r\n/m/01bns_,Zither\r\n/m/01bp2v,Allspice\r\n/m/01bp38,Garam masala\r\n/m/01bp4g,Fines herbes\r\n/m/01bp4w,Lemongrass\r\n/m/01bq4,Boeing 767\r\n/m/01bq8v,Troop\r\n/m/01bqd2,Sheng\r\n/m/01bqgn,Bicycle frame\r\n/m/01bqk0,Bicycle wheel\r\n/m/01bqq_,Belted Kingfisher\r\n/m/01bq_,Utility knife\r\n/m/01bqvp,Sky\r\n/m/01bqwh,Mist\r\n/m/01brf,Bronze\r\n/m/01bs7h,Trident\r\n/m/01bsxb,Collage\r\n/m/01bsyy,Derailleur gears\r\n/m/01btbt,Pecan\r\n/m/01btfg,Flash\r\n/m/01btn1,Yellow billed Magpie\r\n/m/01btn,Barge\r\n/m/01btp4,Black billed Magpie\r\n/m/01btr0,Eurasian magpie\r\n/m/01bvgh,Catamaran\r\n/m/01bvtk,Crocodilia\r\n/m/01bvx,Battle\r\n/m/01bw2t,Lamborghini murciélago\r\n/m/01bw9x,Electrician\r\n/m/01bwb9,House sparrow\r\n/m/01bwr,Botany\r\n/m/01bx0g,Lamborghini diablo\r\n/m/01bx84,Ring-necked pheasant\r\n/m/01b_xd,Bumblebee\r\n/m/01bz53,Kaffir lime\r\n/m/01bz6q,Urtica\r\n/m/01bzmc,Meatball\r\n/m/01c004,Sand Martin\r\n/m/01c08f,Rock dove\r\n/m/01c09k,Stock dove\r\n/m/01c0fs,Disposable camera\r\n/m/01c0lb,Cynara\r\n/m/01c_0l,\"Ducks, geese and swans\"\r\n/m/01c0z,Battery\r\n/m/01c1g2,Red winged Blackbird\r\n/m/01c1t2,Canyoning\r\n/m/01c2f2,Ski binding\r\n/m/01c2vn,Elderberry\r\n/m/01c34b,Flooring\r\n/m/01c35v,General practitioner\r\n/m/01c3q,Bassoon\r\n/m/01c3xv,Heavy cruiser\r\n/m/01c42l,Museum ship\r\n/m/01c43w,Crane\r\n/m/01c45y,Leavening agent\r\n/m/01c46,Boeing b-52 stratofortress\r\n/m/01c4ct,Northern Grey Shrike\r\n/m/01c4dl,Ball bearing\r\n/m/01c4kr,Crane-like bird\r\n/m/01c4r0,Canning\r\n/m/01c4rd,Beak\r\n/m/01c4xg,Victory ship\r\n/m/01c53d,Gerbil\r\n/m/01c53w,Chinchilla\r\n/m/01c5nc,Waldorf salad\r\n/m/01c5nlx,Toppings\r\n/m/01c5w8,Great blue heron\r\n/m/01c648,Laptop\r\n/m/01c6nk,Warlord\r\n/m/01c6xf,Drinking water\r\n/m/01c6yl,Spire\r\n/m/01c72,North american b-25 mitchell\r\n/m/01c72t,Composer\r\n/m/01c778,Slum\r\n/m/01c791,Freezing\r\n/m/01c7cq,Grassland\r\n/m/01c7d3,Savanna\r\n/m/01c7xk,Train conductor\r\n/m/01c80k,Snow goose\r\n/m/01c8br,Street\r\n/m/01c8w0,Conductor\r\n/m/01c979,Designer\r\n/m/01c_9j,Quarry\r\n/m/01cbb3,Beet\r\n/m/01cbzq,Rock\r\n/m/01cch6,Potato salad\r\n/m/01cct5,Snipe\r\n/m/01cd9,Brand\r\n/m/01_cf6,Harvester\r\n/m/01cfkh,Remora\r\n/m/01cgz,Boxing\r\n/m/01chb8,Nowruz\r\n/m/01chy,Bowls\r\n/m/01cj38,Northern Harrier\r\n/m/01cjsf,Kite\r\n/m/01ck7x,Budgie\r\n/m/01ckgp,Interaction\r\n/m/01cmb2,Miniskirt\r\n/m/01cmcs,Hatchback\r\n/m/01cmft,Spotting scope\r\n/m/01cmm2,Monocular\r\n/m/01cndb,Stationery\r\n/m/01cnz,Birth control\r\n/m/01cp1t,Douglas Aircraft Company\r\n/m/01cppc,Bird migration\r\n/m/01cq1t,Listed building\r\n/m/01cqy9,Bivalve\r\n/m/01crm0,Atlantic puffin\r\n/m/01crnh,\"Meal, ready-to-eat\"\r\n/m/01crps,Satay\r\n/m/01crzf,Waxwing\r\n/m/01cs49,Cottage pie\r\n/m/01cs50,Costa Rican cuisine\r\n/m/01csdn,Smörgåsbord\r\n/m/01cs_p,Marina\r\n/m/01ctqy,F-111 aardvark\r\n/m/01ctry,Atmosphere of earth\r\n/m/01ctsf,Atmosphere\r\n/m/01cv4r,Temperate coniferous forest\r\n/m/01cv98,Temperate broadleaf and mixed forest\r\n/m/01cv9m,Tropical and subtropical coniferous forests\r\n/m/01cvx,Baptism\r\n/m/01cw97,Pemmican\r\n/m/01cwd,Bocce\r\n/m/01cwty,Hub gear\r\n/m/01cx7t,High-visibility clothing\r\n/m/01cxh7,Transporter bridge\r\n/m/01cx_v,Chesapeake bay retriever\r\n/m/01cxvn,Bioluminescence\r\n/m/01cypm,Khene\r\n/m/01cytr,Kia motors\r\n/m/01cz1z,Cloudberry\r\n/m/01cz4w,Bilberry\r\n/m/01czv3,Fortification\r\n/m/01d07t,Photographic paper\r\n/m/01d0z1,Shorebird\r\n/m/01d146,Lockheed ep-3\r\n/m/01d1dj,Coupé\r\n/m/01d1vk,Grumman c-2 greyhound\r\n/m/01d1wc,Northrop grumman ea-6b prowler\r\n/m/01d2nt,Wisteria\r\n/m/01d2_z,Wind turbine\r\n/m/01d30f,Teacher\r\n/m/01d380,Drill\r\n/m/01d3bp,Sandpiper\r\n/m/01d3ry,Tortilla de patatas\r\n/m/01d40f,Dress\r\n/m/01d4b2,Jack-o'-lantern\r\n/m/01d5g,Batman\r\n/m/01d64p,Accipitriformes\r\n/m/01d743,Package delivery\r\n/m/01d74z,Night\r\n/m/01d7fl,Jack russell terrier\r\n/m/01d7mc,Black and tan coonhound\r\n/m/01d7ng,Pelecaniformes\r\n/m/01d7qq,Coonhound\r\n/m/01d7rt,Differential\r\n/m/01d8ql,Rallidae\r\n/m/01d991,Bustard\r\n/m/01d9ll,Astronomical object\r\n/m/01d9xk,Honeysuckle family\r\n/m/01dc9n,Chapman stick\r\n/m/01dcsz,Lancashire hotpot\n/m/01dctq,Poi\r\n/m/01dd0y,Copepod\r\n/m/01dd1s,Acrobatics\r\n/m/01dd25,First aid kit\r\n/m/01dd3,Boomerang\r\n/m/01ddb4,Brazilian jiu-jitsu\r\n/m/01ddcs,Building sand castles\r\n/m/01ddm,Bodybuilding\r\n/m/01df5p,Cuckoo\r\n/m/01d_ff,Toe\r\n/m/01dfh8,Nuclear power plant\r\n/m/01dfry,Loggerhead Shrike\r\n/m/01dgb6,Palm wine\r\n/m/01dggx,Hatmaking\r\n/m/01dgnd,American legless lizard\r\n/m/01dgwv,Bug\r\n/m/01dgzv,Spiral galaxy\r\n/m/01d_h8,Film producer\r\n/m/01dhjg,Ten-pin bowling\r\n/m/01dh_p,Black seabass\r\n/m/01dj7,Beagle\r\n/m/01dj8g,Klondyked Herring\r\n/m/01djxm,Meerkat\r\n/m/01dk8s,Powdered sugar\r\n/m/01dk9h,Habanero chili\r\n/m/01dl1f,Capo\r\n/m/01dl3j,Banknote\r\n/m/01dl9r,Cormorant\r\n/m/01dnv_,Bağlama\r\n/m/01dnws,Bouzouki\r\n/m/01dp1q,Armored cruiser\r\n/m/01dp3n,Protected cruiser\r\n/m/01dp9q,Touch football\r\n/m/01dq4q,Coraciiformes\r\n/m/01dqkc,Pest\r\n/m/01dqy5,Cedar Waxwing\r\n/m/01drpv,Ananas\r\n/m/01d_rv,Mämmi\r\n/m/01drwh,Bandoneon\r\n/m/01d_tk,Emberizidae\r\n/m/01dts_,Laotian cuisine\r\n/m/01dttb,Glutinous rice\r\n/m/01dv4h,Portrait\r\n/m/01dv7j,Schipperke\r\n/m/01dvt1,Joint\r\n/m/01dvt,Northrop grumman b-2 spirit\r\n/m/01dw5z,Swallow\r\n/m/01_dw7,President's day\r\n/m/01dw9,Beaver\r\n/m/01dws,Bear\r\n/m/01dwsz,Waffle\r\n/m/01dwwc,Pancake\r\n/m/01dwxx,Gull\r\n/m/01dwzq,Fatback\r\n/m/01dx8,Bald eagle\r\n/m/01dx9s,Whey\r\n/m/01dxlg,Monitor\r\n/m/01dxs,Brown bear\r\n/m/01d_xw,National monument\r\n/m/01dy09,Tern\r\n/m/01dy1v,Skua\r\n/m/01dy62,Phasianidae\r\n/m/01dy8n,Woodpecker\r\n/m/01dys,Biathlon\r\n/m/01dzm,Bubble and squeak\r\n/m/01dzzz,Mahi Mahi\r\n/m/01f0r6,Megaphone\r\n/m/01f0yy,Mechanical puzzle\r\n/m/01f0zq,Mongoose\r\n/m/01f10d,North american xb-70 valkyrie\r\n/m/01f116,Crypt\r\n/m/01f1n4,Barista\r\n/m/01f235,Baguazhang\r\n/m/01f2hr,Stunt\r\n/m/01f2sl,Power station\r\n/m/01f3p,Base jumping\r\n/m/01f3v2,Ghee\r\n/m/01f415,Flame\r\n/m/01f43,Beauty\r\n/m/01f4cc,Manicure\r\n/m/01f4g6,Cod liver oil\r\n/m/01f4qx,Lesser celandine\r\n/m/01f4td,Rural area\r\n/m/01f57_,Chinese crested dog\r\n/m/01f_5,Ball pen\r\n/m/01f5gx,Eating\r\n/m/01f5pq,Memory card\r\n/m/01f6l,Bandy\r\n/m/01f6pd,American crow\r\n/m/01f709,Pied billed Grebe\r\n/m/01f74z,Western Grebe\r\n/m/01f79n,Quiche\r\n/m/01f_7f,Spritzer\r\n/m/01f7m2,Bufo\r\n/m/01f83d,Primula\r\n/m/01f849,Jay\r\n/m/01f8m5,Blue jay\r\n/m/01f91_,Pretzel\r\n/m/01f95w,Steller s Jay\r\n/m/01f995,Boeing p-26 peashooter\r\n/m/01fb_0,Bagel\r\n/m/01fcnx,Secretary\r\n/m/01fd1t,Cottage cheese\r\n/m/01fd31,Curd\r\n/m/01fd4b,Brown Pelican\r\n/m/01fd71,Footbag\r\n/m/01fd94,Carpaccio\r\n/m/01fdl3,Bushtit\r\n/m/01fdzj,Tower\r\n/m/01ffcg,Varnish\r\n/m/01ffws,New caledonian crow\r\n/m/01fg3n,Graham cracker\r\n/m/01fgs3,Boerboel\r\n/m/01fh07,Macropodidae\r\n/m/01fh4r,Teapot\r\n/m/01fh5j,Kangaroo\r\n/m/01fj0k,Double crested Cormorant\r\n/m/01fk07,Giant squid\r\n/m/01fk1g,Instant coffee\r\n/m/01fk2s,Finnish cuisine\r\n/m/01fkbb,Red kangaroo\r\n/m/01fklc,Pink\r\n/m/01fl6z,Black pudding\r\n/m/01fm7c,Supersonic transport\r\n/m/01fmbp,Seaduck\r\n/m/01fmnr,Periscope\r\n/m/01fmz_,Climbing harness\r\n/m/01fnck,Waste\r\n/m/01fnj5,Motor oil\r\n/m/01fnns,Vegetation\r\n/m/01fp9,Bean\r\n/m/01fpbm,Daisy\r\n/m/01fpfn,Unitary state\r\n/m/01fpgg,Harvey wallbanger\r\n/m/01fpmd,Tugboat\r\n/m/01fqc_,Baby bottle\r\n/m/01fr5h,Grumman Aircraft Corporation\r\n/m/01f_rk,Fly fishing\r\n/m/01frpd,Northrop Grumman\r\n/m/01frs7,Green jay\r\n/m/01fs6v,Borscht\r\n/m/01fsn2,Minesweeper\r\n/m/01ft5b,Kindergarten\r\n/m/01ft7q,Dodgeball\r\n/m/01ft8k,Shadow\r\n/m/01ftw3,Chalcid wasp\r\n/m/01fvqz,Quorn\r\n/m/01fw9,Bongo\r\n/m/01fwrm,Confirmation\r\n/m/01fy1x,Ophrys\r\n/m/01fyrh,Downhill\r\n/m/01fzdb,Pintail\r\n/m/01fzz2,Pony\r\n/m/01fzzx,Procyon\r\n/m/01g0g,Brick\r\n/m/01g0h3,Walpurgis night\r\n/m/01g0mh,Canada goose\r\n/m/01g0wd,Power supply\r\n/m/01g1fg,Fish Crow\r\n/m/01g1rg,Electronic engineering\r\n/m/01g1x,Bobwhite\r\n/m/01g2v7,Junk\r\n/m/01g2vp,Rapeseed\r\n/m/01g317,Person\r\n/m/01g3ny,Chickadee\r\n/m/01g3x7,Bow and arrow\r\n/m/01g47h,American Bittern\r\n/m/01g47w,Oil field\r\n/m/01g4lv,Bittern\r\n/m/01g4rl,Buzzard\r\n/m/01g50p,Railroad car\r\n/m/01g5ch,Oystercatcher\r\n/m/01g5v,Blue\r\n/m/01_g5x,Honey badger\r\n/m/01g686,Cycad\r\n/m/01g68q,Wax paper\r\n/m/01g6gs,Black-and-white\r\n/m/01g7bc,Stilt\r\n/m/01g7qz,Sturgeon\r\n/m/01g81,Blizzard\r\n/m/01g8bx,Akashiyaki\r\n/m/01g8dv,Chevrolet corvette\r\n/m/01g8j,Bikini\r\n/m/01g8p4,Bengal tiger\r\n/m/01g8xg,Clamp\r\n/m/01g91n,Midsummer\r\n/m/01_g9d,Turducken\r\n/m/01g9hy,North american x-15\r\n/m/01gb24,Bearing\r\n/m/01gcvq,Stalagmite\r\n/m/01gd1c,Test\r\n/m/01gd7k,Starling\r\n/m/01gd7_,Myna\r\n/m/01gd91,Pasture\r\n/m/01gdnc,Forsythia\r\n/m/01gd_v,Liebfraumilch\r\n/m/01gfp,Balalaika\r\n/m/01gg0y,Windsurfing\r\n/m/01gh3q,Geranium maderense\r\n/m/01gh41,Free reed aerophone\r\n/m/01gh_r,Mcdonnell f-101 voodoo\r\n/m/01_ghv,Eastern Screech owl\r\n/m/01gj4c,Pint\r\n/m/01gjh7,Douglas b-18 bolo\r\n/m/01gjrs,Gannet\r\n/m/01gjs6,Booby\r\n/m/01gk99,Freestyle walking\r\n/m/01gkbw,Emperor penguin\r\n/m/01gkx_,Swimwear\r\n/m/01gkzr,Power inverter\r\n/m/01gl3t,Roller\r\n/m/01gl50,Angling\r\n/m/01gl72,Skatepark\r\n/m/01gllr,Beehive\r\n/m/01gl_m,Mannequin\r\n/m/01glyd,Trapeze\r\n/m/01gm6,Bison\r\n/m/01g_m6,Northern shoveler\r\n/m/01_gm8,Western Screech owl\r\n/m/01gmdq,Snowflake\r\n/m/01gmp9,Trail mix\r\n/m/01gmv2,Brassiere\r\n/m/01gpzg,Flag football\r\n/m/01gq53,Performance\r\n/m/01gqfm,Beach volleyball\r\n/m/01_gqv,Torque wrench\r\n/m/01grkb,Bird of paradise\r\n/m/01gs6f,City council\r\n/m/01gt7,Boeing 747\r\n/m/01gtwf,Electric eel\r\n/m/01gwc2,Swordfish\r\n/m/01gx4y,Photocopier\r\n/m/01gxnj,Bratwurst\r\n/m/01gxrk,Boombox\r\n/m/01gxtf,Old World flycatcher\r\n/m/01_gx_,Yorkshire terrier\r\n/m/01gyh6,Sand wedge\r\n/m/0_1h028,Bean bag chair\r\n/m/01h0j6,Crème de cassis\r\n/m/01h0j_,Mcdonnell f3h demon\r\n/m/01h0s2,Cuirass\r\n/m/01h1dd,Publication\r\n/m/01h1l3,Boilermaker\r\n/m/01h_1n,Playground\r\n/m/01h2fk,Ford cortina\r\n/m/01h2qf,Slide projector\r\n/m/01h2w7,Retro style\r\n/m/01h358,Stage combat\r\n/m/01h_36,Chanter\r\n/m/01h3n,Bee\r\n/m/01h44,Bat\r\n/m/01h4bv,Western Mosquitofish\r\n/m/01h4v9,Hornet\r\n/m/01h4ws,Wasp\r\n/m/01h5hb,Kei car\r\n/m/01h5q0,Indian cuisine\r\n/m/01h5wg,Rose hip\r\n/m/01h5yp,Hibiscus\r\n/m/01h5z4,Andhra food\r\n/m/01h5zh,Tamarind\r\n/m/01h6cb,Meeting\r\n/m/01h6d4,Camping\r\n/m/01h6rj,Military\r\n/m/01h74_,Galliano\r\n/m/01h7_d,Pontiac gto\r\n/m/01h7lh,Mixed martial arts\r\n/m/01h7tx,Roller skating\r\n/m/01h80k,Muscle car\r\n/m/01h8n0,Conversation\r\n/m/01h8tj,Starfish\r\n/m/01hb2h,Victoria day\r\n/m/01hbcl,Pager\r\n/m/01hbsc,Veterinarian\r\n/m/01hc2f,Stoneflies\r\n/m/01hcpd,Crumble\r\n/m/01hcps,Lamb and mutton\r\n/m/01_hct,Triumphal arch\r\n/m/01hf_2,Ape\r\n/m/01hffk,Carriage\r\n/m/01hfkv,Alto horn\r\n/m/01hg0x,North american f-100 super sabre\r\n/m/01hgjl,Scratching\r\n/m/01hh4n,Foie gras\r\n/m/01hh79,Landing\r\n/m/01hhc2,Motorcycle speedway\r\n/m/01hhp3,Yak\r\n/m/01hj4t,Pommel horse\r\n/m/01hj56,Rings\r\n/m/01hj6r,Parallel bars\r\n/m/01hjj1,Mallard\r\n/m/01hk87,Braid\r\n/m/01hklv,Smoked salmon\r\n/m/01hkml,Chauffeur\r\n/m/01hl50,Uneven bars\r\n/m/01hl9m,Vauxhall firenza\r\n/m/01hlb9,Vauxhall viva\r\n/m/01hlgf,Beluga whale\r\n/m/01hllt,Green winged Teal (American)\r\n/m/01hm70,Sea salt\r\n/m/01hmj9,Krill\r\n/m/01hmml,Mausoleum\r\n/m/01hn_d,Sour cream\r\n/m/01hnnm,Navel\r\n/m/01hnq6,Mitzvah\r\n/m/01hp05,Thomas the tank engine\r\n/m/01hp22,Artistic gymnastics\r\n/m/01hpq4,Lulav\r\n/m/01hpsm,Etrog\r\n/m/01h_q0,Military robot\r\n/m/01hq29,Humpback whale\r\n/m/01hqh3,Seismometer\r\n/m/01hqmh,Reliant scimitar\r\n/m/01hr0p,Saumagen\r\n/m/01hr1w,Guided missile destroyer\r\n/m/01hr6f,Rubber stamp\r\n/m/01hrk6,Arena football\r\n/m/01hrkn,Compote\r\n/m/01hrm7,Candy cane\r\n/m/01h_rs,Hostel\r\n/m/01hrv5,Popcorn\r\n/m/01hrwt,Dhow\r\n/m/01hryy,Naruto\r\n/m/01hrzy,Vauxhall chevette\r\n/m/01hs42,Aeolian harp\r\n/m/01hs5p,Milkfish\r\n/m/01hs7l,Tundra swan\r\n/m/01hs8w,Vauxhall magnum\r\n/m/01hsqw,Decepticon\r\n/m/01hsr7,Ditch\r\n/m/01hsr_,Sneeze\r\n/m/01hsy_,Ford sierra\r\n/m/01ht1r,Medieval architecture\r\n/m/01htfz,Storm\r\n/m/01htk9,Gambit\r\n/m/01hww_,Autoharp\r\n/m/01h_wz,Black-footed ferret\r\n/m/01hxbg,Tiger shark\r\n/m/01hxnh,Bullmastiff\r\n/m/01hxrs,Amphibious transport dock\r\n/m/01hxyd,Local food\r\n/m/01hyhj,Tachometer\r\n/m/01hykb,Kathakali\r\n/m/01hz5_,Chiton\r\n/m/01hzb8,Great pyrenees\r\n/m/01hzl4,Wig\r\n/m/01j03x,Herbaceous plant\r\n/m/01j04m,Thigh\r\n/m/01j0g,Borzoi\r\n/m/01j0mk,Customer\r\n/m/01j0r5,Praline\r\n/m/01j0ry,Traffic congestion\r\n/m/01j0w0,Black grouse\r\n/m/01j0x,Basenji\r\n/m/01j0xm,World rally championship\r\n/m/01j25p,Chevrolet camaro\r\n/m/01j2bj,Bathroom\r\n/m/01j2pr,Eel\r\n/m/01j2rk,Real tennis\r\n/m/01j31q,Gangster\r\n/m/01j33z,Viverridae\r\n/m/01j34x,Box lacrosse\r\n/m/01j37x,Jai alai\r\n/m/01j3br,Medical imaging\r\n/m/01j3ck,Chapati\r\n/m/01j3dc,Vauxhall astra\r\n/m/01j3hf,Anchovy\r\n/m/01j3j8,Recording studio\r\n/m/01j3sz,Laugh\r\n/m/01j3y1,Tickling\r\n/m/01j3zr,Burrito\r\n/m/01j423,Yawn\r\n/m/01j45r,Lorikeet\r\n/m/01j48b,Wrist\r\n/m/01j4yx,Dragon boat\r\n/m/01j4z9,Chainsaw\r\n/m/01j51,Balloon\r\n/m/01j5ks,Wrench\r\n/m/01j61q,Tent\r\n/m/01j66t,Human Torch\r\n/m/01j692,Sardine\r\n/m/01j69x,Kala namak\r\n/m/01j6f0,Skyway\r\n/m/01j6mj,Bored\r\n/m/01j6xr,Axolotl\r\n/m/01j75r,Goulash\r\n/m/01j7cq,Sensor\r\n/m/01j7_f,Buttermilk\r\n/m/01j7n4,Swedish vallhund\r\n/m/01j7v8,Circuit breaker\r\n/m/01j889,Lobe-finned fish\r\n/m/01j8gz,Mellophone\r\n/m/01j8n4,Invisiable Woman\r\n/m/01j9jk,Piggy bank\r\n/m/01j9zp,Street performance\r\n/m/01jb4,Biome\r\n/m/01jbnd,Dog food\r\n/m/01jby8,Ac cobra\r\n/m/01jc75,Root vegetable\r\n/m/01jddz,Concert\r\n/m/01jdhl,Rufous Hummingbird\r\n/m/01jdpf,Interview\r\n/m/01jf3m,Mystique\r\n/m/01jf71,Arcade\r\n/m/01jfkf,Forklift truck\r\n/m/01jfm_,Licence plate\r\n/m/01jfp7,Portable stove\r\n/m/01jfq1,Feijoa\r\n/m/01jfsr,Lantern\r\n/m/01jgnh,Heron\r\n/m/01j_h3,Subaru\r\n/m/01jhc2,Spelling bee\r\n/m/01jhl9,White stork\r\n/m/01jhmx,Black stork\r\n/m/01jj24,Paddlefishes\r\n/m/01jjd7,Snowshoe hare\r\n/m/01jjr1,Spotted dick\r\n/m/01j_jw,Martin marietta x-24a\r\n/m/01jk_4,Chimney\r\n/m/01jk5b,Prom\r\n/m/01jkf3,Gnetae\r\n/m/01jkjp,Piciformes\r\n/m/01jl_1,Crane flies\r\n/m/01jl55,Great egret\r\n/m/01jl6c,Lily of the valley\r\n/m/01jm2n,Walkway\r\n/m/01jn5,Barrister\r\n/m/01jnfv,Viaduct\r\n/m/01jnpd,Three thorned acacia\r\n/m/01jnvt,Badlands\r\n/m/01jnzj,Construction\r\n/m/01jp3p,Tradesman\r\n/m/01jp58,Plumber\r\n/m/01jp5n,Welder\r\n/m/01jp76,Parking\r\n/m/01jp9b,Sleeping bag\r\n/m/01jpn4,Grocery store\r\n/m/01jqht,Arctic Tern\r\n/m/01j_qp,Requiem shark\r\n/m/01jr50,Convair f-102 delta dagger\r\n/m/01jr9x,Shaolin kung fu\r\n/m/01js0w,Sound box\r\n/m/01j_sh,Focke-wulf fw 190\r\n/m/01jsmq,Common tern\r\n/m/01jsqj,Macaque\r\n/m/01_jsv,Tongs\r\n/m/01jszz,Coconut oil\r\n/m/01jt1b,Volvo 66\r\n/m/01jt2h,Volvo amazon\r\n/m/01jthg,Kangaroo rat\r\n/m/01jtn,Body piercing\r\n/m/01jvw5,Goat-antelope\r\n/m/01jw00,Warthog\r\n/m/01jw_1,Bus stop\r\n/m/01jwgf,Product\r\n/m/01jwsn,Snow Bunting\r\n/m/01jxcj,Carbonated water\r\n/m/01jxmp,Black model\r\n/m/01jxq2,Sea cucumber\r\n/m/01jy1_,Tangerine\r\n/m/01jy_6,Sleeping pad\r\n/m/01jybh,Orange hawkweed\r\n/m/01jyj0,Northern Copperhead\r\n/m/01jypq,Reef\r\n/m/01jyr1,Islet\r\n/m/01j_zg,Bellows\r\n/m/01jzlw,Carcharhiniformes\r\n/m/01k050,Cow-goat family\r\n/m/01k0f1,Corn Snake\r\n/m/01k0mc,Colubridae\r\n/m/01k0mv,Road surface\r\n/m/01k14h,Milksnake\r\n/m/01k17j,Milkshake\r\n/m/01k18d,Oreo\r\n/m/01k1ky,Bandicoot\r\n/m/01k1y7,Kingsnake\r\n/m/01k2n4,Lama\r\n/m/01k3q1,Junkers\r\n/m/01k3tq,Bulldog\r\n/m/01k4n6,Junkers ju 52\r\n/m/01k4y,Black russian\r\n/m/01k5lq,Single malt whisky\r\n/m/01k5m3,Blended whiskey\r\n/m/01k5yg,Robe\r\n/m/01k60,Bundaberg rum\r\n/m/01k66b,Brown Thrasher\r\n/m/01k695,Fisherman\r\n/m/01k6_b,Ondes martenot\r\n/m/01k6s3,Toaster\r\n/m/01k6w2,Mole salamander\r\n/m/01k6wv,Tiger salamander\r\n/m/01k74n,Facial expression\r\n/m/01k7_,Bunsen burner\r\n/m/01k8h,Blue whale\r\n/m/01k9j2,Mexican hairless dog\r\n/m/01k9lj,Jaw\r\n/m/01k9lz,Hydraulic rescue tools\r\n/m/01k9qz,Network interface controller\r\n/m/01kb5b,Flashlight\r\n/m/01kbqk,Calidrid\r\n/m/01kbw8,Dinghy sailing\r\n/m/01kc36,Dassault rafale\r\n/m/01kcd,Brass instrument\r\n/m/01kcl4,Dowitcher\r\n/m/01kcnl,Birthday\r\n/m/01kd_t,Bizarro\r\n/m/01kf0_,Barn owl\r\n/m/01kf5_,Coq au vin\r\n/m/01kf7f,Ratatouille\r\n/m/01kfp5,Skewer\r\n/m/01kfqp,Tiger beetle\r\n/m/01kg8r,Cornbread\r\n/m/01kgp6,Winter storm\r\n/m/01kh2,Rockwell b-1 lancer\r\n/m/01k_hc,Liquorice\r\n/m/01khhq,Bonnetmouth\r\n/m/01kk40,Clan\r\n/m/01kkd6,Ritz cracker\r\n/m/01kl4_,Ephedra\r\n/m/01klb9,Plaza\r\n/m/01klqw,Alluvial fan\r\n/m/01_kmm,Magneto\r\n/m/01kmrn,Earwigs\r\n/m/01kn2w,Scottish smallpipes\r\n/m/01kn36,Mayflies\r\n/m/01kn43,Biniou\r\n/m/01kn5n,Galician gaita\r\n/m/01_knc,Quicksilver\r\n/m/01knjb,Billboard\r\n/m/01knvc,Monarch butterfly\r\n/m/01kpg0,Bluebird\r\n/m/01kpw3,Giant salamander\r\n/m/01kq3f,Blue-collar worker\r\n/m/01kq3x,White-collar worker\r\n/m/01kqhh,Ranunculales\r\n/m/01kqls,Mallow family\r\n/m/01kqnp,Skysurfing\n/m/01kqwh,Proteales\r\n/m/01kqwy,Business jet\r\n/m/01kr41,Mask\r\n/m/01kr58,Matador\r\n/m/01kr8f,Illustration\r\n/m/01krhy,Tiara\r\n/m/01krjr,Pendant\r\n/m/01krpv,Pink family\r\n/m/01krq9,Shawm\r\n/m/01krqs,Amaranth family\r\n/m/01ks9_,Goldfinch\r\n/m/01ksq5,Welsh Corgi\r\n/m/01kt48,Border\r\n/m/01kt56,Picnic\r\n/m/01kv4h,Schnapps\r\n/m/01kv4w,Gar\r\n/m/01kv7h,Midnight\r\n/m/01kv93,Staffordshire bull terrier\r\n/m/01kw8y,Oar\r\n/m/01kwdf,Goldenrod\r\n/m/01kwx,Boeing b-17 flying fortress\r\n/m/01kwyz,Branched asphodel\r\n/m/01kxh7,Ebony trees and persimmons\r\n/m/01kykh,Laughing kookaburra\r\n/m/01kynd,Trumpet creeper\r\n/m/01kyr8,Darkness\r\n/m/01kz1l,Tapir\r\n/m/01kzpc,Theodolite\r\n/m/01l00t,Wreath\r\n/m/01l0h6,Computer terminal\r\n/m/01l0mw,Home\r\n/m/01l0y0,Material\r\n/m/01l0zd,Skeet shooting\r\n/m/01l1q3,Mummichog\r\n/m/01l256,Slug\r\n/m/01_l28,Sandhill crane\r\n/m/01l28z,Redhead\r\n/m/01l2bl,Canvasback duck\r\n/m/01l37q,European Starling\r\n/m/01l3zn,Mazda rx-7\r\n/m/01l43p,Queue area\r\n/m/01_l47,Whooping crane\r\n/m/01l51v,Tree planting\r\n/m/01l56l,Landform\r\n/m/01l5h4,Souvlaki\r\n/m/01_l5p,Caber toss\r\n/m/01l5t6,Librarian\r\n/m/01l66y,White throated sparrow\r\n/m/01l6fs,American Black Duck\r\n/m/01l6kn,Geraniales\r\n/m/01l6ls,Geraniaceae\r\n/m/01l_75,Hooded merganser\r\n/m/01l7pm,Squaliformes\r\n/m/01l7qd,Whiskers\r\n/m/01l7t2,Downtown\r\n/m/01l7w1,Cauldron\r\n/m/01l7wg,Chalice\r\n/m/01l849,Gold\r\n/m/01l8m9,Blue winged Teal\r\n/m/01l8p,Bentley\r\n/m/01l97f,Pulpit\r\n/m/01l99n,Sliced bread\r\n/m/01l9v7,Autoclave\r\n/m/01lb5,Chess\r\n/m/01lb8j,Ironclad warship\r\n/m/01lbst,Baker\r\n/m/01lbxg,Nut\r\n/m/01lcvq,Northern gannet\r\n/m/01lcw4,Limousine\r\n/m/01lcwm,Luxury vehicle\r\n/m/01ld1v,Blowgun\r\n/m/01ld2p,Dehumidifier\r\n/m/01ldb_,Saab 600\r\n/m/01ldpj,Snowy owl\r\n/m/01ldpz,Wood duck\r\n/m/01lf17,Meat and bone meal\r\n/m/01lfrk,Ptelea trifoliataHoptree\r\n/m/01lgb6,American frontier\r\n/m/01lgkm,RV\r\n/m/01lh5x,Saab 900\r\n/m/01lh8n,Wheelbarrow\r\n/m/01lhsp,New World porcupine\r\n/m/01l_j4,Mazda rx-8\r\n/m/01lj9,Chemistry\r\n/m/01ll1r,Briefs\r\n/m/01llgk,Boxer\r\n/m/01llwg,Necklace\r\n/m/01llx7,Bracelet\r\n/m/01l_mq,Throne\r\n/m/01l__m,Scow\r\n/m/01ln6f,Washing\r\n/m/01lnt7,Wallpaper\r\n/m/01lp7f,Motocross\r\n/m/01lpzw,Chimney sweep\r\n/m/01lq3,Casino\r\n/m/01lqfm,Public space\r\n/m/01l_qh,China aster\r\n/m/01lql6,Cinquefoil\r\n/m/01lr2,CPU\r\n/m/01lrl,Carnivore\r\n/m/01lrnl,Windshield\r\n/m/01ls_1,Hydrangeaceae\r\n/m/01lsc5,Answering machine\r\n/m/01lsjf,Disappointed\r\n/m/01lsmm,Scissors\r\n/m/01lsn3,Hinge\r\n/m/01lt48,Meadowsweet\r\n/m/01ltc2,Plymouth\r\n/m/01lt_j,Tree anemone\r\n/m/01lv2s,Mock orange\r\n/m/01lvms,Hatter\r\n/m/01lvx,Cartilaginous fish\r\n/m/01lwf0,Alley\r\n/m/01lxd,Coast\r\n/m/01lydy,Bar billiards\r\n/m/01lynh,Stairs\r\n/m/01lzty,String cheese\r\n/m/01lzzr,Sambal\r\n/m/01m0lg,Human positions\r\n/m/01m0p1,Cardinal\r\n/m/01m1bp,Ford\r\n/m/01m1l4,Goosander\r\n/m/01m2v,Computer keyboard\r\n/m/01m3b,Constellation\r\n/m/01m3g2,Pastis\r\n/m/01m3gx,Anisette\r\n/m/01m3tw,Animal shelter\r\n/m/01m3v,Computer\r\n/m/01m42v,Triple sec\r\n/m/01m462,Red-breasted merganser\r\n/m/01m48_,Capsule hotel\r\n/m/01m4ht,Disfigurement\r\n/m/01m4t,Printer\r\n/m/01m_5v,Tango\r\n/m/01m_6b,Tango\r\n/m/01_m7,Column\r\n/m/01_m9b,Rock candy\r\n/m/01m9s,Computer data storage\r\n/m/01mf0,Software\r\n/m/01mfj,Computer hardware\r\n/m/01m_hf,Line dance\r\n/m/01_mk2,Quickdraw\r\n/m/01mppm,Mergus\r\n/m/01mpx6,Snapdragon\r\n/m/01mq8b,Riverboarding\r\n/m/01mqdt,Traffic sign\r\n/m/01mr6j,Cookware and bakeware\r\n/m/01mrgs,Craft\r\n/m/01mrms,Petunia\r\n/m/01ms7j,Crankset\r\n/m/01msx9,Vielle\r\n/m/01mt0b,Lime\r\n/m/01mt1_,Linden\r\n/m/01mtb,Cooking\r\n/m/01mtt,Card game\r\n/m/01mtwq,Inline speed skating\r\n/m/01mv9,Cross-stitch\r\n/m/01mvkt,Burmese\r\n/m/01mw2x,Health care\r\n/m/01mwkf,Monochrome\r\n/m/01mwy7,Container ship\r\n/m/01mxf,Concrete\r\n/m/01mxk0,Limpkin\r\n/m/01my5m,Nepenthes\r\n/m/01my9p,French 75\r\n/m/01myc4,Moscow mule\r\n/m/01myd,Condom\r\n/m/01mytk,International student\r\n/m/01mzf_,Jacamar\r\n/m/01mzpv,Chair\r\n/m/01mzt3,Tampon\r\n/m/01mzvs,Green tea\r\n/m/01mzw,Calendar\r\n/m/01n12g,Fiat 128\r\n/m/01n_1n,Green heron\r\n/m/01n2x4,Tuna salad\r\n/m/01n2yz,Goldeneye\r\n/m/01n32,City\r\n/m/01n370,Kingpin\r\n/m/01n39d,Scalpel\r\n/m/01n3dg,Bumper sticker\r\n/m/01n3l,Chervil\r\n/m/01n3nh,Sangria\r\n/m/01n3s_,Ruddy Duck\r\n/m/01n3yx,Warship\r\n/m/01n40,Chives\r\n/m/01n4_1,Mandola\r\n/m/01n4fp,Kombucha\r\n/m/01n4qj,Shirt\r\n/m/01n5_8,Hard hat\r\n/m/01n5cy,Carpet\r\n/m/01n5jq,Poster\r\n/m/01n_5n,Night heron\r\n/m/01n5x7,Megalopidae\r\n/m/01n6dx,Broad bean\r\n/m/01n6fd,Shed\r\n/m/01n6p7,Bufflehead\r\n/m/01n7yl,Pentathlon\r\n/m/01n7zy,Stonecrop family\r\n/m/01n8m6,Salt marsh\r\n/m/01n8wt,Lari\r\n/m/01n9rl,Patas\r\n/m/01n9z_,Orangina\r\n/m/01nblt,Apartment\r\n/m/01nc12,Laughing Gull\r\n/m/01ncmt,Thermostat\r\n/m/01ndff,Chariot racing\r\n/m/01nd_n,Protest\r\n/m/01nfrr,Vending machine\r\n/m/01ng1x,Milling\r\n/m/01ng33,Shaper\r\n/m/01ng72,Metalworking\r\n/m/01ngnz,Citroën ds\r\n/m/01ngsj,Daylily\r\n/m/01ngv6,Buddleia\r\n/m/01nh1r,Handkerchief\r\n/m/01nhb2,Castilleja\r\n/m/01nh_c,Flying boat\r\n/m/01njgz,Gharial\r\n/m/01njq7,Alligator\r\n/m/01n_j_,Tusk\r\n/m/01njv7,Redshank\r\n/m/01nkt,Cheese\r\n/m/01nl15,Morning glory\r\n/m/01nl4x,Fire extinguisher\r\n/m/01nlnm,Oregon grape\r\n/m/01nmp6,Ocelot\r\n/m/01nmyj,Fuchsia\r\n/m/01nn4f,Tray\r\n/m/01n_n6,Citroën c3\r\n/m/01nnqh,Foam\r\n/m/01np0n,Antivirus software\r\n/m/01np14,Greater scaup\r\n/m/01np2h,Lesser Scaup\r\n/m/01npvx,Chow mein\r\n/m/01n_q1,Peugeot 106\r\n/m/01nq26,Sock\r\n/m/01nq30,Diner\r\n/m/01n_qj,Peugeot 406\r\n/m/01nqtd,Surströmming\r\n/m/01nq_x,Wild cat\r\n/m/01nr56,Latte\r\n/m/01nrdl,Stencil\r\n/m/01nsgz,Chinese paddlefish\r\n/m/01ntt3,Red hair\r\n/m/01ntw3,Human hair color\r\n/m/01nv66,Touch football (American)\r\n/m/01nv7n,Touchdown\r\n/m/01nvr_,Bulletin board\r\n/m/01nw62,Rottweiler\r\n/m/01nxfc,Mangaka\r\n/m/01nz0l,Tavern\r\n/m/01nz0z,Bar\r\n/m/01nzyt,Shipwreck\r\n/m/01p01n,Sled dog\r\n/m/01p08w,Seppala siberian sleddog\r\n/m/01p17h,Snowy Egret\r\n/m/01p1hb,Wobble board\r\n/m/01p1m6,Little egret\r\n/m/01p1pl,Henna\r\n/m/01p1qs,French press\r\n/m/01p_28,Mutillidae\r\n/m/01p29g,Alapaha blue blood bulldog\r\n/m/01p2dp,Affenpinscher\r\n/m/01p2fz,Embraer erj 145 family\r\n/m/01p2gv,Aidi\r\n/m/01p2lr,American cocker spaniel\r\n/m/01p2q5,Bandage\r\n/m/01p2t7,Stack\r\n/m/01p2_y,Serbian tricolour hound\r\n/m/01p314,Montenegrin mountain hound\r\n/m/01p33b,Mudi\r\n/m/01p37y,Videoconferencing\r\n/m/01p39m,American water spaniel\r\n/m/01p3d7,Alaskan malamute\r\n/m/01p3xl,Metro station\r\n/m/01p468,Cove\r\n/m/01p4kv,Gunboat\r\n/m/01p5_1,Instant camera\r\n/m/01p58g,English billiards\r\n/m/01p5_g,Pin-up girl\r\n/m/01p5qz,Cypripedium\r\n/m/01p5rd,Bernese mountain dog\r\n/m/01p5tm,Roe deer\r\n/m/01p642,Sled dog racing\r\n/m/01p67j,Serbian hound\r\n/m/01p71t,Aquifoliales\r\n/m/01p7j8,Freediving\r\n/m/01p7py,Sweet peas\r\n/m/01p7ws,Hermit crab\r\n/m/01p7_y,Ikebana\r\n/m/01p85j,Barbet\r\n/m/01p89l,Sarplaninac\r\n/m/01p8gf,Beer pong\r\n/m/01_p8q,Rescue\r\n/m/01p8tm,Flat-coated retriever\r\n/m/01p900,Beauceron\r\n/m/01p970,Tabla\r\n/m/01pb__,Dendrobium\r\n/m/01pbfj,Turban\r\n/m/01pbgp,Massif\r\n/m/01pbjy,Military police\r\n/m/01p_bk,Marabou stork\r\n/m/01pbsh,Hawk moths\r\n/m/01pbww,Wolf spider\r\n/m/01pby5,Killdeer\r\n/m/01pd0d,Bridesmaid\r\n/m/01pd2g,Raspberry\r\n/m/01pdqb,Rusty-spotted cat\r\n/m/01pdqq,Bicycle chain\r\n/m/01pf17,Wheat gluten\r\n/m/01pf5y,Lapsang souchong\r\n/m/01pf9n,Semipalmated Plover\r\n/m/01pfn_,Airbrush\r\n/m/01pg4q,Pueblo\r\n/m/01ph12,Hippeastrum\r\n/m/01phq4,Pier\r\n/m/01phsx,Tarantula\r\n/m/01p_jb,Psaltery\r\n/m/01pjkn,Volkswagen karmann ghia\r\n/m/01pjsw,Bull shark\r\n/m/01pk_6,Feta\r\n/m/01pkw7,Papillon\r\n/m/01pl1k,Caerphilly cheese\r\n/m/01pl3y,New year's eve\r\n/m/01pldp,Roast beef\r\n/m/01pm38,Clumber spaniel\r\n/m/01pmdg,Electric vehicle\r\n/m/01pmhx,Cream tea\r\n/m/01pmj8,Scone\r\n/m/01pmk3,Clotted cream\r\n/m/01pmyz,Digital piano\r\n/m/01pn0r,Chef\r\n/m/01pns0,Fire hydrant\r\n/m/01pp4_,International women's day\r\n/m/01ppx5,Wholphin\r\n/m/01ppyt,Bhang\r\n/m/01pq45,Chinook\r\n/m/01pqb3,Hygrometer\r\n/m/01pqct,Anvil\r\n/m/01pqfw,European herring gull\r\n/m/01pqpb,Polyporales\r\n/m/01pr2g,Peking duck\r\n/m/01prbn,Parcheesi\r\n/m/01prc1,Prism\r\n/m/01prls,Land vehicle\r\n/m/01prn0,Juicer\r\n/m/01prsy,Canoe polo\r\n/m/01przn,Mackenzie river husky\r\n/m/01ps3d,Potato pancake\r\n/m/01__ps,Breaststroke\r\n/m/01psvn,Canoeing\r\n/m/01psxn,Peace symbols\r\n/m/01p_tx,Degu\r\n/m/01pvc5,Jockey\r\n/m/01pvk,Canal\r\n/m/01pwdc,Carousel\r\n/m/01pwh1,Whale shark\r\n/m/01pwl3,Maritime museum\r\n/m/01pww0,Chevrolet impala\r\n/m/01px4b,Fried chicken\r\n/m/01_pxf,Honda civic\r\n/m/01pxg,Chemist\r\n/m/01pxgq,Romance\r\n/m/01py7h,Qanun\r\n/m/01pyhj,Shiloh shepherd dog\r\n/m/01pyhw,Squash\r\n/m/01pyld,Lamborghini countach\r\n/m/01pyrr,Gentoo penguin\r\n/m/01q0g0,Skittles (sport)\r\n/m/01q0j8,Mixture\r\n/m/01q18m,Precipitation\r\n/m/01q1vz,Ford crown victoria\r\n/m/01q1z9,Ford f-550\r\n/m/01q20j,Automated external defibrillator\r\n/m/01q2h,Computer networking\r\n/m/01q3m6,Touchpad\r\n/m/01q3rd,Catalytic converter\r\n/m/01q4m6,Sanderling\r\n/m/01q4vl,Pagoda\r\n/m/01q4wd,Stupa\r\n/m/01q5f,Chemical substance\r\n/m/01q6dt,Pesto\r\n/m/01q6_m,Widow spider\r\n/m/01q6zv,Red-backed sandpiper\r\n/m/01q7fj,Mattock\r\n/m/01q7l,Currency\r\n/m/01q7x7,Sprouting\r\n/m/01q8_b,Hammock\r\n/m/01q971,Brisket\r\n/m/01qbcr,Puerto rican cuisine\r\n/m/01qbk5,Hall of fame\r\n/m/01qbl,Cymbal\r\n/m/01qbpv,Gum arabic\r\n/m/01qbt6,Master sergeant\r\n/m/01qbv9,Sergeant major\r\n/m/01qcsb,Chewing gum\r\n/m/01qcw6,Onam\r\n/m/01qcwx,Dragon boat festival\r\n/m/01qcyb,Kalaripayattu\r\n/m/01q_cy,Globe\r\n/m/01qd72,Malus\r\n/m/01qdbn,Bicycle pedal\r\n/m/01qdq2,Smoking cessation\r\n/m/01qdtc,Bluebonnet\r\n/m/01qf18,Tahini\r\n/m/01qf88,Gumbo\r\n/m/01qfcj,Peanut butter\r\n/m/01qfdq,Roux\r\n/m/01qfl8,Fenugreek\r\n/m/01_qfw,Ford maverick\r\n/m/01qh13,Toyota land cruiser\r\n/m/01qhp_,Racquet sport\r\n/m/01qj63,Badger\r\n/m/01qk4t,Conch\r\n/m/01qk7d,Educational software\r\n/m/01qkbx,Professional\r\n/m/01qkg,Calf\r\n/m/01qkxh,Cynthia (subgenus)\r\n/m/01qkzk,Vanessa atalanta\r\n/m/01qlmc,Brush-footed butterfly\r\n/m/01qls8,Arctic hare\r\n/m/01qls,Community\r\n/m/01qmr4,Saab 9-3\r\n/m/01qn1p,English shepherd\r\n/m/01_qng,Webbing\r\n/m/01qnhf,Aglais io\r\n/m/01qnpw,Truffle\r\n/m/01qnxs,Seaplane\r\n/m/01qp5w,Volkswagen jetta\r\n/m/01qp69,Dry suit\r\n/m/01qpb2,Sazerac\r\n/m/01qpbt,Bitters\r\n/m/01qpj4,Small tortoiseshell\r\n/m/01qpsq,Polecat\r\n/m/01qq3s,Fajita\r\n/m/01qqbj,Food storage\r\n/m/01qr0m,Chicken fried steak\r\n/m/01qr50,Mud\r\n/m/01qrmb,Green-veined white\r\n/m/01qrm,Nepeta\r\n/m/01qrmr,Pieridae\r\n/m/01qrt3,Pupa\r\n/m/01qrvs,Brazil nut\r\n/m/01_qs1,Mariachi\r\n/m/01qs2,Cumin\r\n/m/01qs76,N-gage\r\n/m/01qt6f,Sidecar\r\n/m/01qt74,Sidecar\r\n/m/01qt7l,Consolidated pby catalina\r\n/m/01qt9r,Maraschino\r\n/m/01qtdl,\"Datsun 1500, 1600, 2000 roadster\"\r\n/m/01qvff,Tempeh\r\n/m/01qw6w,Cutworms\r\n/m/01qwn0,Kacapi\r\n/m/01qwsw,Flat panel display\r\n/m/01qx81,Gyokuro\r\n/m/01qxvh,Romance novel\r\n/m/01qy44,Sepak takraw\r\n/m/01qyp,Caryophyllales\r\n/m/01qzby,Seaside resort\r\n/m/01qzzt,Grains of paradise\r\n/m/01r0_7,Roe\r\n/m/01r07z,Blessed sacrament\r\n/m/01r0j5,Sunscreen\r\n/m/01r1wt,Quince\r\n/m/01r1z5,Asian food\r\n/m/01r22b,Fried egg\r\n/m/01r24t,Barbecue grill\r\n/m/01r_2c,Elvis impersonator\r\n/m/01r2fb,Inflatable\r\n/m/01r2v1,Sukiyaki\r\n/m/01r3kd,Girl scouts of the usa\r\n/m/01r3xn,Shoal\r\n/m/01r546,Earrings\r\n/m/01r5gt,Podiatrist\r\n/m/01r6kf,Linseed oil\r\n/m/01r8g,Caving\r\n/m/01r8w,Cave\r\n/m/01r9p8,Balun\r\n/m/01r9v,Computer program\r\n/m/01r9wv,Impala\r\n/m/01rb05,Mercury comet\r\n/m/01rb6t,Chrysanths\r\n/m/01_r_,Cheddar cheese\r\n/m/01rcl8,Domesticated turkey\r\n/m/01rcy5,Bottlenose dolphin\r\n/m/01rd5z,Aisle\r\n/m/01rd7k,Wild turkey\r\n/m/01r_dp,Scrapple\r\n/m/01rdr1,Spit\r\n/m/01rfps,Pharmacy\r\n/m/01rg3p,Easel\r\n/m/01rh7y,Scale model\r\n/m/01rhcg,Rite\r\n/m/01rjb2,Mantis shrimp\r\n/m/01rk86,Chili con carne\r\n/m/01rk8n,Garlic press\r\n/m/01rk9j,Gefilte fish\r\n/m/01rkbr,Tie\r\n/m/01rlnn,Hacienda\r\n/m/01rn09,Bling-bling\r\n/m/01rn4d,Korat\r\n/m/01rn8t,Jujube\r\n/m/01rnrn,Liger\r\n/m/01rpf,Cupid\r\n/m/01r_pn,Race track\r\n/m/01rq37,Big mac\r\n/m/01rqnz,Patchouli\r\n/m/01rqtz,Optical disc drive\r\n/m/01rr0k,Great black-backed gull\r\n/m/01rrrx,Baguette\r\n/m/01rs21,Sedge family\r\n/m/01rs41,Private school\r\n/m/01rs4w,Tutor\r\n/m/01rsdb,Stream bed\r\n/m/01rsmq,Black bellied Plover\r\n/m/01rv4_,Citroën saxo\r\n/m/01rvb6,Hidden camera\r\n/m/01rvsq,Syrup\r\n/m/01rvvg,Acorn squash\r\n/m/01_rvy,Sharp shinned Hawk\r\n/m/01rw_4,Sea kayak\r\n/m/01rw56,Coffee filter\r\n/m/01rw97,Coffee percolator\r\n/m/01rwk,Climbing\r\n/m/01rwnk,Scallop\r\n/m/01rwp0,Grilled mushroom\r\n/m/01rx0d,Ford thunderbird\r\n/m/01rx53,Wild carrot\r\n/m/01rxf,Cinco de mayo\r\n/m/01_ryh,Cooper's Hawk\r\n/m/01ry_j,Protea\r\n/m/01rynr,Maple leaf\r\n/m/01rzcn,Watercraft\r\n/m/01rzm4,Bathyscaphe\r\n/m/01rzs4,Right whale\r\n/m/01s012,Top\r\n/m/01s02b,Dive computer\r\n/m/01s08d,Croque-monsieur\r\n/m/01s0g,Canada day\r\n/m/01s0ps,Electric piano\r\n/m/01s0vc,Zipper\r\n/m/01s0yk,Willet\r\n/m/01s105,Cabinetry\r\n/m/01s16s,Citroën c2\r\n/m/01s1_c,Coral fungus\r\n/m/01s1m0,Greater yellowlegs\r\n/m/01s1pz,Lesser Yellowlegs\r\n/m/01s1y1,Jelly fungus\r\n/m/01s283,Wolverine\r\n/m/01s3jq,Nanny\r\n/m/01s_43,Barcode reader\r\n/m/01s4b5,Neon sign\r\n/m/01s4cc,Corn smut\r\n/m/01s4l4,Festivus\r\n/m/01s4v,Carabiner\r\n/m/01s55n,Suitcase\r\n/m/01s560,Collaboration\r\n/m/01s56h,Slip-on shoe\r\n/m/01s5v5,Honda cr-x\r\n/m/01s6_4,Grampus\r\n/m/01s6cj,Lip gloss\r\n/m/01s6l_,Bulgur\r\n/m/01s6w2,Heptathlon\r\n/m/01s77c,Ribbon\r\n/m/01s7fj,Shih tzu\r\n/m/01s_83,Woven fabric\r\n/m/01s85q,Onyx\r\n/m/01s8fx,News conference\r\n/m/01s8j4,Annatto\r\n/m/01s94z,Least Sandpiper\r\n/m/01s9m1,Tall ship\r\n/m/01s9wq,Refried beans\r\n/m/01sbch,Stinkhorn mushroom\r\n/m/01s_bn,Button\r\n/m/01sbsm,Aquaman\r\n/m/01sbt1,Parmigiano-reggiano\r\n/m/01sbwk,Champignon mushroom\r\n/m/01s_c3,Amc pacer\r\n/m/01sc6y,Patterdale terrier\r\n/m/01sdgj,Business card\r\n/m/01sdr3,Hubcap\r\n/m/01sdr,Color\r\n/m/01sdsl,Corn poppy\r\n/m/01sdv7,Vest\r\n/m/01sf9c,Bowhead\r\n/m/01sfb5,Underwater\r\n/m/01sfdb,Legume\r\n/m/01sfl,Clown\r\n/m/01sfmq,Toyota matrix\r\n/m/01sg7n,Holden commodore\r\n/m/01sg9l,Nightclub\r\n/m/01sgl,Cycling\r\n/m/01sh8v,Lupin\r\n/m/01sh9b,Rosa dumalis\r\n/m/01sh9p,Rosa rugosa\r\n/m/01shdw,Scaled reptile\r\n/m/01shkg,Ch'arki\r\n/m/01sjng,Racing video game\r\n/m/01sjty,Honda integra\r\n/m/01sjyq,Cessna 152\r\n/m/01sk79,Spearfishing\r\n/m/01__sk,Brickwork\r\n/m/01sknl,Plymouth road runner\r\n/m/01sl60,Shamisen\r\n/m/01slj8,Lassi\r\n/m/01sm1g,Wood block\r\n/m/01smb7,Plymouth superbird\r\n/m/01sm_p,Magistrate\r\n/m/01sn4c,Kielbasa\r\n/m/01snz9,Music workstation\r\n/m/01sp1f,Boeing 787 dreamliner\r\n/m/01sp53,California condor\r\n/m/01sp5k,Andean condor\r\n/m/01spzs,Still life\r\n/m/01sq26,Dodge intrepid\r\n/m/01sqnx,Byzantine architecture\r\n/m/01srbg,White Pelican\r\n/m/01srj,Comet\r\n/m/01srtk,Guitar pick\r\n/m/01ss0,Compost\r\n/m/01ss2s,Ocean sunfish\r\n/m/01ssh5,Shoulder\r\n/m/01ssn0,Kit violin\r\n/m/01_sst,Douglas c-47 skytrain\r\n/m/01st4f,Overhead projector\r\n/m/01sv6,Capoeira\r\n/m/01svq,Computer cluster\r\n/m/01swbd,Lancia delta\r\n/m/01swzs,American coot\r\n/m/01sxnm,Infiniti\r\n/m/01sy7,Coal\r\n/m/01sy7q,Mascarpone\r\n/m/01sywp,Aerobic exercise\r\n/m/01syx2,Xo sauce\r\n/m/01syxg,Jogging\r\n/m/01szdf,Caper\r\n/m/01szdy,Gherkin\r\n/m/01szky,Climbing shoe\r\n/m/01szt7,Macadamia\r\n/m/01t032,Golden retriever\r\n/m/01t10n,Morris marina\r\n/m/01t15m,Waiting staff\r\n/m/01t1v5,Tee ball\r\n/m/01t2ln,Police officer\r\n/m/01t2tr,White-beaked dolphin\r\n/m/01t3_,Screen\r\n/m/01t3vf,Sabretooth\r\n/m/01t4h,Crystal\r\n/m/01t4m0,Freestyle swimming\r\n/m/01t5y0,Genipa americana\r\n/m/01t751,Pregnancy test\r\n/m/01t_7l,Flag Day (USA)\r\n/m/01t8by,Machinist\r\n/m/01t93k,Harley quinn\r\n/m/01t949,Penguin\r\n/m/01t95g,Mr. freeze\r\n/m/01t98f,Mid-autumn festival\r\n/m/01t9mr,Saab 9000\r\n/m/01tbcv,Non-vascular land plant\r\n/m/01t_bx,Table saw\r\n/m/01tc53,Venison\r\n/m/01__t,Canadian football\r\n/m/01tcjp,Muffin\r\n/m/01tcs0,Scarecrow\r\n/m/01td26,Riddler\r\n/m/01tdlv,Friar\r\n/m/01tdyn,Mămăligă\r\n/m/01tf9x,Perilla\r\n/m/01tfm0,Pine family\r\n/m/01tg1x,Wasserfall\r\n/m/01tgcy,Northern Cardinal\r\n/m/01th28,Beechcraft c-12 huron\r\n/m/01th42,Gulfstream iii\r\n/m/01th5y,Boeing c-40 clipper\r\n/m/01thl6,Kenpō\r\n/m/01tj8f,Sperm whale\r\n/m/01tkh8,American Woodcock\r\n/m/01tknj,Haddock\r\n/m/01tkqg,Bulldozer\r\n/m/01tkqy,Stunt performer\r\n/m/01tksn,Spider web\r\n/m/01tl0v,Cosmos\r\n/m/01tl62,Mitsubishi f-2\r\n/m/01tl7y,Red bud\r\n/m/01tlrb,Ford windstar\r\n/m/01tlzs,Little Tern\r\n/m/01tm2f,Malaysian food\r\n/m/01tm7f,Kajukenbo\r\n/m/01tnfp,Ford galaxie\r\n/m/01tn_k,Play-doh\r\n/m/01tp0c,Pebble\r\n/m/01tprb,Hula hoop\r\n/m/01tq2l,Cruise ship\r\n/m/01tq84,Oryx\r\n/m/01tq9h,Pronghorn\r\n/m/01tqrk,Employment\r\n/m/01tqs1,Biscuit\r\n/m/01tr90,Ford parklane\r\n/m/01trfx,Spotted Sandpiper\r\n/m/01tr_g,Blade\r\n/m/01try6,Sandpiper\r\n/m/01ts5x,Dhol\r\n/m/01ts99,Black Tern\r\n/m/01tt2n,Caravel\r\n/m/01ttbz,Cockatiel\r\n/m/01ttd6,Plant stem\r\n/m/01ttst,Ford contour\r\n/m/01ttxw,Doctor Octopus\r\n/m/01_tv0,Honda accord\r\n/m/01tv9,Cream\r\n/m/01tw48,Chamois\r\n/m/01twlh,Avengers\r\n/m/01tx7r,Volcanic rock\r\n/m/01txr2,Spring\r\n/m/01txv3,Shorinji kempo\r\n/m/01ty0n,Spring\r\n/m/01ty3d,Katsuobushi\r\n/m/01t_yc,Dormitory\r\n/m/01tygv,Archive\r\n/m/01tywg,Nozzle\r\n/m/01tz6k,Ford torino\r\n/m/01v000,Arborist\r\n/m/01v06b,Ford ranchero\r\n/m/01v0db,Mortar and pestle\r\n/m/01v147,Corpus christi\r\n/m/01v1d8,Sampler\r\n/m/01v1ft,Brandy alexander\r\n/m/01v1gw,Half and half\r\n/m/01v1hk,Image scanner\r\n/m/01_v1r,Executioner\r\n/m/01v229,Raincoat\r\n/m/01v2s5,Lure coursing\r\n/m/01v2xz,Clothes dryer\r\n/m/01v327,Lawn\r\n/m/01v3j7,Lamniformes\r\n/m/01v3_t,Subaru outback\r\n/m/01v3zp,Subaru legacy\r\n/m/01v40j,Nissan maxima\r\n/m/01v46r,Giraffidae\r\n/m/01v4f7,Sloop-of-war\r\n/m/01v4jb,Monolith\r\n/m/01v4ld,Musk deer\r\n/m/01v4lt,Arch bridge\r\n/m/01v4sn,Mortarboard\r\n/m/01v4x4,Camelid\r\n/m/01v50j,Crane\r\n/m/01v6b,Cantonese food\r\n/m/01v_70,Hemp oil\r\n/m/01v71j,Science fair\r\n/m/01v728,Land plant\r\n/m/01v7dp,Striated Heron\r\n/m/01_v7j,Identity document\r\n/m/01v7jx,Deodorant\r\n/m/01v7z,Cajun food\r\n/m/01v8rm,Shield volcano\r\n/m/01v9np,Dodge caravan\r\n/m/01v9xr,Sud aviation caravelle\r\n/m/01vb62,Cattle egret\r\n/m/01vbb5,Ocean liner\r\n/m/01vbnl,Bidet\r\n/m/01vc3y,Paisley\r\n/m/01vdcr,Chartreuse\r\n/m/01vdm0,Electronic keyboard\r\n/m/01vdv8,European gallinule\r\n/m/01vfk5,Hypodermic needle\r\n/m/01vfnn,Candlepin bowling\r\n/m/01vfsf,Guitar amplifier\r\n/m/01vg5z,Pine nut\r\n/m/01vgb7,Dodge aries\r\n/m/01vgft,Gummy bear\r\n/m/01vht_,Rock ptarmigan\r\n/m/01vjfs,Fiat x1/9\r\n/m/01vjl6,S'more\r\n/m/01vk9q,Track\r\n/m/01vkfc,Chevrolet avalanche\r\n/m/01vkl,Circle\r\n/m/01vk_m,Espresso machine\r\n/m/01vlfl,Saab 90\r\n/m/01vlg9,Cittern\r\n/m/01vm1p,Elbow\r\n/m/01vml3,Saab 99\r\n/m/01vmzn,Drumhead\r\n/m/01vn4d,Purple mangosteen\r\n/m/01vnb,Comic book\r\n/m/01vnbx,Man-of-war\r\n/m/01vnj3,Speed skiing\r\n/m/01vnr1,Brown hare\r\n/m/01vnt4,Timbales\r\n/m/01vp_t,Kinosternidae\r\n/m/01vpwv,Tulip poplar\r\n/m/01vpx5,Geoemydidae\r\n/m/01vpyd,Pond turtle\r\n/m/01vpz9,Softshell\r\n/m/01vq2n,Leatherback sea turtle\r\n/m/01vq3,Christmas\r\n/m/01vq6t,Dragon lizard\r\n/m/01vq7_,Iguana\r\n/m/01vqj0, Anole\r\n/m/01vqky,Iguanidae\r\n/m/01vqnr,Glima\r\n/m/01vqp5,Systema\r\n/m/01vqyv,Wall lizard\r\n/m/01vr69,Hollow Joe Pye weed\r\n/m/01vrc0,Whiptail\r\n/m/01vrjw,Anguidae\r\n/m/01vs2h,Saccharin\r\n/m/01vsvd,Curry powder\r\n/m/01vs_x,Silversmith\r\n/m/01vt07,Goldsmith\r\n/m/01vt2,Professional certification\r\n/m/01vvvh,Banded geckos\r\n/m/01vw0_,Grave\r\n/m/01vw5p,House gecko\r\n/m/01vws3,Skink\r\n/m/01vxzc,Cash crop\r\n/m/01vykr,Dumog\r\n/m/01vz91,Theatrical scenery\r\n/m/01vzvy,Mortar\r\n/m/01vzwd,Mortar\r\n/m/01w0td,Andouille\r\n/m/01w1vt,Sahara\r\n/m/01w1x1,Hand drum\r\n/m/01w250,Whistling\r\n/m/01w2pl,Kurash\r\n/m/01w2xd,Naginatajutsu\r\n/m/01w3sb,Ruby-throated hummingbird\r\n/m/01w4c9,Djembe\r\n/m/01w4dy,Goblet drum\r\n/m/01w4g4,Dholak\r\n/m/01w53b,Take-out food\r\n/m/01w5c_,Aerial photography\r\n/m/01w5q5,Arabian camel\r\n/m/01w6nv,Homework\r\n/m/01w71f,Personal luxury car\r\n/m/01w7t6,Flying lizard\r\n/m/01w89d,Silambam\r\n/m/01w8pq,Martini\r\n/m/01w9ms,Geum\r\n/m/01wb7,Church\r\n/m/01wbf1,Prairie chicken\r\n/m/01wbgj,Shore Lark\r\n/m/01wbt9,Ruffed grouse\r\n/m/01wc_w,Ugli fruit\r\n/m/01wcxw,Veteran\r\n/m/01wd5b,Spanish lime\r\n/m/01wdp,\"Cucumber, gourd, and melon family\"\r\n/m/01w_gm,Plaster\r\n/m/01wh_8,Cherry blossom\r\n/m/01wh9k,Flathead Catfish\r\n/m/01wk9c,Emblem\r\n/m/01wkk9,Town square\r\n/m/01wlms,Myers motors nmg\r\n/m/01wr8,Impact crater\r\n/m/01wst8,Lifeguard\r\n/m/01wsvf,Acacia greggii\r\n/m/01wt35,Scarlet witch\r\n/m/01wt5r,Water park\r\n/m/01wt7y,Cave crickets\r\n/m/01wtbt,Artificial island\r\n/m/01w_v4,Wrasses\r\n/m/01wvgd,Scorpionfish\r\n/m/01ww8y,Snack\r\n/m/01wwvy,Brioche\r\n/m/01www,CD\r\n/m/01wxh8,Subaru brat\r\n/m/01wy35,Saab 9-5\r\n/m/01wy3_,Saab 95\r\n/m/01wy6,Clarinet\r\n/m/01wyb3,Trench coat\r\n/m/01wydv,Beignet\r\n/m/01wymn,Hearing\r\n/m/01wzjh,Bowie knife\r\n/m/01wzk8,Albacore Fish\r\n/m/01wz_x,Common Scoter\r\n/m/01x019,Spiced bun\r\n/m/01x0cm,Hot cross bun\r\n/m/01x101,Steel-toe boot\r\n/m/01x14j,Bushmeat\r\n/m/01x1pk,Safety pin\r\n/m/01x1s6,Yamaha motor company\r\n/m/01x2d0,Saab 96\r\n/m/01x2j,Camouflage\r\n/m/01x2kt,Saab 93\r\n/m/01x2wn,Saab 92\r\n/m/01x314,Facade\r\n/m/01x3jk,Snowmobile\r\n/m/01x3mx,Galia\r\n/m/01x_3p,Giant anteater\r\n/m/01x3z,Clock\r\n/m/01x4t3,Halfbeak\r\n/m/01x5j8,Crêpe\r\n/m/01x5q1,Jämthund\r\n/m/01x5q,Ceramic\r\n/m/01x6fm,Jujutsu\r\n/m/01x6tg,Saab gt750\r\n/m/01x7t4,Forester\r\n/m/01x7x4,Paddle steamer\r\n/m/01x86j,Paper bag\r\n/m/01x8p6,Leopard lizard\r\n/m/01x8pk,Collared lizard\r\n/m/01x8vf,Zebra-tailed lizard\r\n/m/01x8vt,Greater earless lizard\r\n/m/01x8w4,Earless lizard\r\n/m/01x8wh,California rock lizard\r\n/m/01x8wv,Horned lizard\r\n/m/01x8xk,Spiny lizard\r\n/m/01x8xx,Fringe-toed lizard\r\n/m/01x8yl,Side-blotched lizards\r\n/m/01x8yz,Anole\r\n/m/01x91f,Monitor lizard\r\n/m/01_x9,Campus\r\n/m/01x9mn,Dough\r\n/m/01x9x4,Telephone booth\r\n/m/01xb8z,Bearded Seal\r\n/m/01xb9d,Volvo pv444/544\r\n/m/01xblv,Sistrum\r\n/m/01xbnf,Box jellyfish\r\n/m/01xbt3,Passion fruit\r\n/m/01xbty,Passion flower\r\n/m/01xbz3,Kinkajou\r\n/m/01xc8d,Rope\r\n/m/01x_cf,Janitor\r\n/m/01x_c,Gulai\r\n/m/01xcwm,Jackfruit\r\n/m/01xdh9,Ski boot\r\n/m/01xdjk,Brooch\r\n/m/01xf2l,Sports drink\r\n/m/01xf5,Clutch\r\n/m/01xfpd,Parsnip\r\n/m/01xfy_,Ring billed Gull\r\n/m/01xg0j,Breakfast sausage\r\n/m/01xg7s,Chorizo\r\n/m/01xgbj,Turret\r\n/m/01xgg_,Medical equipment\r\n/m/01xgsv,Dude\r\n/m/01xh7r,Volvo p1900\r\n/m/01xhy2,Metropolitan bishop\r\n/m/01xj_,Celery\r\n/m/01xlvy,Ankle\r\n/m/01_xmf,Triumph stag\r\n/m/01xmqj,Figurine\r\n/m/01xnc_,Dutch oven\r\n/m/01_xnk,Triumph tr6\r\n/m/01xnny,Pulse oximeter\r\n/m/01xns6,Blessing\r\n/m/01xp7s,Eastern Towhee\r\n/m/01_xp9,Welsh rarebit\r\n/m/01xppg,Executive toy\r\n/m/01x_ps,Totem\r\n/m/01xq0k1,Cattle\r\n/m/01xq1w,Victory day\r\n/m/01xq3w,Debate\r\n/m/01xq49,Vintage car\r\n/m/01xqg0,White winged Scoter\r\n/m/01xqk0,Surf Scoter\r\n/m/01xqnt,Lap dance\n/m/01xqrf,Butte\r\n/m/01xqvb,Academic dress\r\n/m/01xqw,Cello\r\n/m/01xr4p,Dark eyed Junco\r\n/m/01xr66,Spokesperson\r\n/m/01xrmc,Earl grey tea\r\n/m/01xs30,Personal water craft\r\n/m/01xs3r,Jet ski\r\n/m/01xs7r,All-terrain vehicle\r\n/m/01xsb3,Classic car\r\n/m/01_xs,Crossbow\r\n/m/01_xsj,Red-tailed hawk\r\n/m/01xt1_,Dianthus\r\n/m/01xtp1,White crowned Sparrow\r\n/m/01xtxb,Cavalier king charles spaniel\r\n/m/01x_v,Camel\r\n/m/01x_vd,Jogo do pau\r\n/m/01xw9,Chinese food\r\n/m/01xwx2,Weevil\r\n/m/01xxn0,Hedge\r\n/m/01xxtm,Frozen food\r\n/m/01xxv0,Tomahawk\r\n/m/01xygc,Coat\r\n/m/01xyhv,Suit\r\n/m/01xyy3,Tangle-web spider\r\n/m/01y029,Herder\r\n/m/01y03f,Tagetes\r\n/m/01y0fy,Mcdonnell douglas md-80\r\n/m/01y0qz,Zinnia\r\n/m/01y0zb,Redbud\r\n/m/01y1_z,Geranium\r\n/m/01y24v,Green algae\r\n/m/01y28g,Gyro\r\n/m/01y2w,Ciconiiformes\r\n/m/01y3fy,Jungle\r\n/m/01y3hg,Smoke detector\r\n/m/01y3z4,Ford prefect\r\n/m/01y4xf,Coriander\r\n/m/01y5dx,Song Sparrow\r\n/m/01y5hf,American Tree Sparrow\r\n/m/01y6dg,Walking stick insect\r\n/m/01y6tq,Austin allegro\r\n/m/01y77,Cnidaria\r\n/m/01y_7,Coyote\r\n/m/01y7xt,Scincella\r\n/m/01y8r2,Red flag\r\n/m/01y8tr,Offal\r\n/m/01y8xw,Villa\r\n/m/01y8z0,Chipping Sparrow\r\n/m/01y9k5,Desk\r\n/m/01yby,Cuttlefish\r\n/m/01y_c6,G-string\r\n/m/01yc83,Hand tool\r\n/m/01yct6,Princess\r\n/m/01ycvc,Sea ice\r\n/m/01ydl,Cane toad\r\n/m/01ydy2,Ford aspire\r\n/m/01ydzk,Grocer\r\n/m/01yf2,Croquet\r\n/m/01yfj,Curling\r\n/m/01y_g4,Austin-healey sprite\r\n/m/01yg7d,Sarangi\r\n/m/01yg9g,Lawn mower\r\n/m/01ygjb,Lacerta\r\n/m/01ygpt,Heloderma\r\n/m/01yh65,Woolen\r\n/m/01yh6x,Lamborghini miura\r\n/m/01yjfd,Japanese architecture\r\n/m/01yjkq,Cross country running\r\n/m/01yjq3,Nachos\r\n/m/01ykdy,Nougat\r\n/m/01ykh,Cuisine\r\n/m/01ylb6,Oregon white oak\r\n/m/01ymmt,Violet family\r\n/m/01ymzt,Freesia\r\n/m/01yn01,Iris family\r\n/m/01yn49,Skate\r\n/m/01yn51,Luna Moth\r\n/m/01ynbc,Fox Sparrow\r\n/m/01ynw,Cement\r\n/m/01ypbj,Chevrolet chevelle\r\n/m/01ypq8,Lighter\r\n/m/01ypv,Caribbean food\r\n/m/01yr36,Corn whiskey\r\n/m/01yr4s,Tennessee whiskey\r\n/m/01yrmf,Tachinidae\r\n/m/01yrsm,Cuckoo clock\r\n/m/01yrx,Cat\r\n/m/01yryk,Megachilidae\r\n/m/01yrz8,Bombyliidae\r\n/m/01ys2s,Antique\r\n/m/01ysmz,Toyota prius\r\n/m/01ysq9,Eastern Whip poor will\r\n/m/01ysq_,Black billed Cuckoo\r\n/m/01ysxk,Gulf Fritillary\r\n/m/01ysy9,Diploma\r\n/m/01yt7z,Trachyspermum ammi\r\n/m/01yt8c,Basil\r\n/m/01ytj6,Carob tree\r\n/m/01yttv,Audio equipment\r\n/m/01yv4s,Elaeis\r\n/m/01yvs,Coca-cola\r\n/m/01yw7r,Figure skate\r\n/m/01yw8f,Larb\r\n/m/01ywd5,Crème anglaise\r\n/m/01ywq9,Carpenter bee\r\n/m/01yx2,Mail\r\n/m/01yx86,Bronze sculpture\r\n/m/01yxbj,Yellow billed Cuckoo\r\n/m/01yxjp,Glass lizard\r\n/m/01yxmx,Western alligator lizard\r\n/m/01yy9f,Piñata\r\n/m/01yyk,Cereal\r\n/m/01yz9d,Digital video recorder\r\n/m/01z0gx,Psyllium\r\n/m/01z0mh,Norwegian lundehund\r\n/m/01z1jf2,American food\r\n/m/01z1kdw,Juice\r\n/m/01z1m1x,Soup\r\n/m/01z1sv,Tartan\r\n/m/01z23_,Chimney Swift\r\n/m/01z23l,Skipper (butterfly)\r\n/m/01z24r,Anesthesiologist\r\n/m/01z27,Cross-country skiing\r\n/m/01z2r3,Pandoro\r\n/m/01z2x2,Gorgonzola\r\n/m/01z2z3,Wand\r\n/m/01z3j2,Vermicelli\r\n/m/01z3z,Boeing c-17 globemaster iii\r\n/m/01z404,Newfoundland\r\n/m/01z45gc,Southeast asian food\r\n/m/01_z4_,Asclepiadoideae\r\n/m/01z562,Basket\r\n/m/01z578,Ocean whitefish\r\n/m/01z5f,Canidae\r\n/m/01z_64,Bare-knuckle boxing\r\n/m/01z6s,Couscous\r\n/m/01z6t8,Purple Martin\r\n/m/01z789,Secretary desk\r\n/m/01z7b_,Crape myrtle\r\n/m/01z7bj,Loosestrife and pomegranate family\r\n/m/01z7vz,Chevrolet corvair\r\n/m/01z85,Cheerleading\r\n/m/01z8mz,Meze\r\n/m/01z8r0,Staple\r\n/m/01z8txb,Kosher food\r\n/m/01z8xg,Transparent material\r\n/m/01z8xy,Transparency\r\n/m/01z9l8,Apiary\r\n/m/01z9lm,Eastern Bluebird\r\n/m/01z9r_,Mountain Bluebird\r\n/m/01z9v6,Pitcher\r\n/m/01zbnw,Screenshot\r\n/m/01zbqj,Pileated woodpecker\r\n/m/01zbv5,Northern flicker\r\n/m/01zd3q,Red headed Woodpecker\r\n/m/01zd_f,Sibling\r\n/m/01zd_s,Tincture\r\n/m/01zf7q,V sign\r\n/m/01zfbs,Helicoverpa zea\r\n/m/01zfgj,Sawmill\r\n/m/01zflg,Spirit level\r\n/m/01zfyk,Bucket\r\n/m/01zgk0,Metallophone\r\n/m/01zgpz,Morin khuur\r\n/m/01zgr,Chlorophyta\r\n/m/01zh5,Capybara\r\n/m/01zh8g,Glass harmonica\r\n/m/01zj4q,Country-western dance\r\n/m/01zjbd,Leuconotopicus\r\n/m/01zjfg,Downy Woodpecker\r\n/m/01zkt1,Whitewater kayaking\r\n/m/01zl9v,Zeppole\r\n/m/01zlzf,Chicha\r\n/m/01zp3k,Vestment\r\n/m/01zpwj,Acorn Woodpecker\r\n/m/01zpxn,Red bellied Woodpecker\r\n/m/01zpz,Crew\r\n/m/01zrkr,Computer icon\r\n/m/01zs85,Spinet\r\n/m/01zssy,Cheesesteak\r\n/m/01ztbk,Alligator lizard\r\n/m/01_zvr,Latin dance\r\n/m/01zvtl,Egg white\r\n/m/01zwfs,Porsche 959\r\n/m/01zwml,Sea slug\r\n/m/01zx13,\"Ford model b, model 18, & model 40\"\r\n/m/01zxqd,New World monkey\r\n/m/01zxt7,Old world monkey\r\n/m/01zyd,Columbine\r\n/m/01zzbp,Pipa\r\n/m/02000n,Ackee\r\n/m/0200ds,Belly dance\r\n/m/0200ss,Water dropwort\r\n/m/020_1,Crannog\r\n/m/02021,Chipmunk\r\n/m/0202j5,Common Crossbill\r\n/m/0203r8,Backstroke\r\n/m/0203vw,Energy drink\r\n/m/0203zq,Water gun\r\n/m/0204fg,Skyline\r\n/m/0204xg,Red shouldered Hawk\r\n/m/02054x,Citron\r\n/m/02057l,Liverwort\r\n/m/02068x,Gondola\r\n/m/0206cd,Sidewinder\r\n/m/0206ky,Hardtack\r\n/m/0206tv,American rosefinches\r\n/m/0206yg,House finch\r\n/m/02079p,Speaker\r\n/m/0207l9,Allium\r\n/m/0207lr,Agapanthus\r\n/m/0207my,Cluster-lilies\r\n/m/0207rf,Triplet lily\r\n/m/0207sy,Caipirinha\r\n/m/0208ny,Nissan lucino\r\n/m/020904,Surimi\r\n/m/020953,Meat analogue\r\n/m/0209pm,Turnstile\r\n/m/0209ts,Sorbet\r\n/m/020b3f,Frozen yogurt\r\n/m/020bgb,Nyckelharpa\r\n/m/020bgr,Suidae\r\n/m/020csw,Bitter orange\r\n/m/020cvm,Sweet lemon\r\n/m/020djv,Leaf blower\r\n/m/020dns,Common dolphins\r\n/m/020dp,Cranberry\r\n/m/020dr1,Bluetick coonhound\r\n/m/020d_t,Street dance\r\n/m/020dwk,Passenger ship\r\n/m/020fb2,Coffeehouse\r\n/m/020fsy,Portable communications device\r\n/m/020fx,Cruiser\r\n/m/020g49,Hardwood\r\n/m/020g7f,Injera\r\n/m/020gf1,Thrips\r\n/m/020gp1,Bolo tie\r\n/m/020gv7,Zampogna\r\n/m/020h4z,Street furniture\r\n/m/020h7v,Tangelo\r\n/m/020hl7,True salamanders and newts\r\n/m/020hm0,Lungless salamander\r\n/m/020hpy,Lebkuchen\r\n/m/020hqc,Muesli\r\n/m/020j3z,Meatloaf\r\n/m/020j6j,Hetaira\r\n/m/020j9k,Evening Grosbeak\r\n/m/020jl4,Durum\r\n/m/020jm,Beetle\r\n/m/020k3,Concorde\r\n/m/020kz,Cannon\r\n/m/020l7k,Pine Siskin\r\n/m/020_l8,Ice climbing\r\n/m/020ldp,Tucuxi\r\n/m/020lf,Mouse\r\n/m/020lmy,Pilot whales\r\n/m/020lpj,Ford laser\r\n/m/020lqs,Ford telstar\r\n/m/020lr3,Ford meteor\r\n/m/020lsx,Fuet\r\n/m/020lv8,Ford mondeo\r\n/m/020m7t,Ball game\r\n/m/020mpp,Seaplane tender\r\n/m/020ncg,Baltic gray seal\r\n/m/020p1v,Wine bottle\r\n/m/020q5q,Rose breasted Grosbeak\r\n/m/020qp1,Gusli\r\n/m/020rfd,Supermoto\r\n/m/020s4p,Cleanliness\r\n/m/020s9t,Ford falcon (australian version)\r\n/m/020sdj,Comb\r\n/m/020sg1,Volkswagen polo\r\n/m/020sqh,Opel astra\r\n/m/020ssp,Holden astra\r\n/m/020sv5,Garibaldi (fish)\r\n/m/020t1g,Apocalypse\r\n/m/020t4k,Stuffing\r\n/m/020tcq,Black rhinoceros\r\n/m/020vbd,Indigo bunting\r\n/m/020vl,Chocolate\r\n/m/020w2,Cornet\r\n/m/020wcz,Mountain pass\r\n/m/020wgk,Dime\r\n/m/020x94,Opel vectra\r\n/m/020xr6,Vauxhall cavalier\r\n/m/020xrx,Ford scorpio\r\n/m/020xxc,Retriever\r\n/m/020yd1,Medal\r\n/m/020ys5,Condominium\r\n/m/020ytc,Rice cooker\r\n/m/020yw8,Nattō\r\n/m/020z5t,English springer spaniel\r\n/m/020z66,Miniature schnauzer\r\n/m/02127,Chambered cairn\r\n/m/0212n,Canadian whisky\r\n/m/0213_2,Buick skylark\r\n/m/02133g,Grog\r\n/m/0213tg,Combination lock\r\n/m/02141m,Pontiac sunbird\r\n/m/021431,Pontiac sunfire\r\n/m/021468,Chevrolet astro\r\n/m/0214k8,Amc javelin\r\n/m/0214n8,Grumman llv\r\n/m/0214yr,Gizzard\r\n/m/02155t,American lobster\r\n/m/0215f3,Sei whale\r\n/m/0215hd,Boom operator\r\n/m/0215j4,Camera operator\r\n/m/0215n,Cartoon\r\n/m/0215nh,Gadulka\r\n/m/0215pz,Harbour porpoise\r\n/m/0215qd,Shenyang j-6\r\n/m/0215ry,Chengdu j-7\r\n/m/0215_s,Hot hatch\r\n/m/0215tf,Shenyang j-5\r\n/m/0215ts,Nanchang q-5\r\n/m/0215w8,Hongdu jl-8\r\n/m/0215zm,Peugeot 205\r\n/m/0216t6,Ford country squire\r\n/m/0216vm,Slipper\r\n/m/0216z,Collectible card game\r\n/m/0217nd,Chrysler 300 letter series\r\n/m/0218by,Rest area\r\n/m/0218q9,Vought f-8 crusader\r\n/m/0218rg,Flyer\r\n/m/0218yj,Sand eel\r\n/m/0219x_,Indie film\r\n/m/021bmf,Jew's harp\r\n/m/021c5h,Asian elephant\r\n/m/021cdw,Gopher\r\n/m/021cns,Bullfrog\r\n/m/021crq,Jaguarundi\r\n/m/021csx,True frog\r\n/m/021dfr,Youth\r\n/m/021dzj,Grumman a-6 intruder\r\n/m/021fl7,Pomelo\r\n/m/021fpy,Rock-climbing equipment\r\n/m/021g5j,Wood Thrush\r\n/m/021gh9,True's Porpoise\r\n/m/021grn,Cuvier’s Beaked Whale\r\n/m/021gxj,Pontoon bridge\r\n/m/021kf,Curtiss p-40 warhawk\r\n/m/021_kl,Bullock's Oriole\r\n/m/021klp,Raven\r\n/m/021krv,State park\r\n/m/021kzk,Brown headed Cowbird\r\n/m/021l45,Daiquiri\r\n/m/021mh_,Stuffed toy\r\n/m/021mn,Cookie\r\n/m/021mp2,Sedan\r\n/m/021n2_,Shenyang j-8\r\n/m/021n63,One day international\r\n/m/021_n9,Easter monday\r\n/m/021nj3,Dassault mirage 2000\r\n/m/021_nr,Orchard Oriole\r\n/m/021p0c,Thick-billed murre\r\n/m/021p8m,Spotted salamander\r\n/m/021phg,Saab sonett\r\n/m/021pkm,Bobolink\r\n/m/021pmx,Yellow headed Blackbird\r\n/m/021q4q,Kippah\r\n/m/021qtv,Woodland salamander\r\n/m/021qv6,Red back salamander\r\n/m/021ry5,Cottonmouth\r\n/m/021sdg,Graphics\r\n/m/021sj1,Office\r\n/m/021s_r,Convenience food\r\n/m/021swn,Buzz cut\r\n/m/021t1z,Prepackaged meal\r\n/m/021t9y,Eastern Meadowlark\r\n/m/021tc3,Western Meadowlark\r\n/m/021tjx,Rowan\r\n/m/021v_4,Beverage can\r\n/m/021v9b,Soursop\r\n/m/021w44,Datsun 510\r\n/m/021w6f,Tile\r\n/m/021wms,Medley swimming\r\n/m/021wr,Call centre\r\n/m/021yby,Seat of local government\r\n/m/021_yc,Knit cap\r\n/m/021z13,Fokker f27 friendship\r\n/m/021z3,Crankshaft\r\n/m/02_1zz,Ford corsair\r\n/m/0220bx,Mil mi-24\r\n/m/0220r2,Fountain\r\n/m/0220z_,Fokker f28 fellowship\r\n/m/0221lk,Operating theater\r\n/m/0222cx,Convair b-36\r\n/m/0223d3,Sound\r\n/m/0223r_,Momordica charantia\r\n/m/0224xp,Ford freestar\r\n/m/0225hd,Magneto-optical drive\r\n/m/0225yb,Oriole\r\n/m/022601,Franklin s Gull\r\n/m/02267k,Scotch egg\r\n/m/02267z,Mineral water\r\n/m/0226ny,Pontiac firebird\r\n/m/0229mb,Egyptian mau\r\n/m/0229pt,Rorschach\r\n/m/0229v7,Gaucho\r\n/m/022b_z,Purple Gallinule\r\n/m/022c98,Rusty Blackbird\r\n/m/022cbs,Brewer's Blackbird\r\n/m/022ch,Cross\r\n/m/022cq8,Porsche 550\r\n/m/022crg,Porsche 718\r\n/m/022ctg,Porsche 904\r\n/m/022ctv,Porsche 906\r\n/m/022dc6,Sports game\r\n/m/022drf,Pączki\r\n/m/022dwd,Wine cooler\r\n/m/02_2f1,Formula one car\r\n/m/022fb,Christian cross\r\n/m/022fks,Singapore sling\r\n/m/022_gc,Ford festiva\r\n/m/022gkd,Chevrolet biscayne\r\n/m/022gtd,Lantana\r\n/m/022h3v,Joiner\r\n/m/022hnr,Volvo cars\r\n/m/022hy,Crucifix\r\n/m/022j1l,Volvo 140 series\r\n/m/022jjz,Pink gin\r\n/m/022js,Cyprinidae\r\n/m/022jsk,Trimaran\r\n/m/022lfb,Fuel pump\r\n/m/022ljp,Forster s Tern\r\n/m/022lvh,Lemon meringue pie\r\n/m/022n8y,Kebab\r\n/m/022p79,Endive\r\n/m/022p83,Wedding cake\r\n/m/022pgh,Electric locomotive\r\n/m/022ph9,Concept car\r\n/m/022q6f,Northern mockingbird\r\n/m/022qdd,Gray Catbird\r\n/m/022r_6,Boeing 747-400\r\n/m/022rbf,Mint\r\n/m/022sn0,Scarlet Tanager\r\n/m/022snt,Summer Tanager\r\n/m/022sxz,Western Tanager\r\n/m/022tld,Staple food\r\n/m/022v32,Yakult\r\n/m/022w4,Hanukkah\r\n/m/022wwt,Airman\r\n/m/022x_3,Volvo s60\r\n/m/022xdb,Hinterland\r\n/m/022y5h,Rojak\r\n/m/022y9b,Speleothem\r\n/m/022ycb,Volvo p1800\r\n/m/022zkk,American Mourning Dove\r\n/m/02309j,Wadi\r\n/m/0230w,Crochet\r\n/m/02318,Coil\r\n/m/02_31,Northrop f-5\r\n/m/0233qc,Crouton\r\n/m/0235lp9,Skateboarder\r\n/m/0236lc,Dry lake\r\n/m/023704,Ice plant\r\n/m/023718,Ice plant family\r\n/m/023779,Nasi lemak\r\n/m/02377q,Roti canai\r\n/m/0238fz,Flan\r\n/m/0238gv,Trestle desk\r\n/m/0238jq,Pad thai\r\n/m/023907r,Real estate\r\n/m/02393,Chaparral\r\n/m/0239cb,Ac ace\r\n/m/0239kh,Cowbell\r\n/m/023b8,Clipper\r\n/m/023bbt,Wilderness\r\n/m/023cbk,Cargo\r\n/m/023fvs,Cricketer\r\n/m/023g6j,Saab ev-1\r\n/m/023gc2,Gayageum\r\n/m/023hb6,Darts\r\n/m/023j4r,Nail\r\n/m/023kbx,Tandoor\r\n/m/023kc8,Yakitori\r\n/m/023kjl,Erotic literature\r\n/m/023kp2,Paw\r\n/m/023ls,Cola\r\n/m/023mq,Cider\r\n/m/023nrw,Navigator\r\n/m/023pfw,Aluminium foil\r\n/m/023pjk,Silverware\r\n/m/023q15,Sloth bear\r\n/m/023qc5,Somersault\r\n/m/023qyz,Advent wreath\r\n/m/023_rh,Dodge rampage\r\n/m/023s_v,Usb flash drive\r\n/m/023t5p,Goal\r\n/m/023tkl,Abseiling\r\n/m/02_3v6,Mufti\r\n/m/023vk2,Referee\r\n/m/023vxw,Marmot\r\n/m/023vz1,Lockheed f-94 starfire\r\n/m/023w12,Republic f-84 thunderjet\r\n/m/023w27,Republic f-105 thunderchief\r\n/m/023ws,Clavichord\r\n/m/023zh4,Erhu\r\n/m/02417f,Windscreen wiper\r\n/m/02_41,Fire\r\n/m/0241s6,Opel kadett\r\n/m/02422r,Futon\r\n/m/024247,Bottled water\r\n/m/0242gd,Wagon\r\n/m/0242l,Coin\r\n/m/0243gp,Northern Praying Mantis (martial art)\r\n/m/0243pg,Canis\r\n/m/02_444,Trampoline\r\n/m/0244jz,Daf\r\n/m/0244lt,Shazam\r\n/m/02_45f,Tweezers\r\n/m/0245kq,Stealth aircraft\r\n/m/0245rx,Christmas pudding\r\n/m/0245zn,National historic landmark\r\n/m/0246g2,Golden crowned Kinglet\r\n/m/0246jg,Ruby crowned Kinglet\r\n/m/0247j_,Patagonian toothfish\r\n/m/0247sv,Elephant seals\r\n/m/02492f,Azuki bean\r\n/m/024959,Amanattō\r\n/m/0249gb,Tom kha kai\r\n/m/024bm,Cable television\r\n/m/024br0,Lotus europa\r\n/m/024c9v,Tárogató\r\n/m/024cl,Caldera\r\n/m/024cpw,Blue gray Gnatcatcher\r\n/m/024d1z,Peeler\r\n/m/024d2,Calculator\r\n/m/024dyf,Hula\r\n/m/024g6,Cocktail\r\n/m/024g8w,White breasted Nuthatch\r\n/m/024gbn,Red breasted Nuthatch\r\n/m/024gh2,Antonov an-225 mriya\r\n/m/024gjb,Menu\r\n/m/024gsm,Chevrolet caprice\r\n/m/024h08,Indonesian food\r\n/m/024j5d,Telephone operator\r\n/m/024j9l,American Tree Creeper\r\n/m/024jdh,Black capped Chickadee\r\n/m/024jj,Cuba libre\r\n/m/024k91,Coil spring\r\n/m/024kk2,Negative\r\n/m/024kz7,Dancesport\r\n/m/024lvg,Loukoumades\r\n/m/02_4my,Opening\r\n/m/024ncv,Chevrolet bel air\r\n/m/024nd6,Standing desk\r\n/m/024nvz,Hyacinth\r\n/m/024pk,Cetacea\r\n/m/024qb2,Grey squirrel\r\n/m/024qgv,King vulture\r\n/m/024rf7,Irish coffee\r\n/m/024rrx,Baileys irish cream\r\n/m/024tpf,Red eyed Vireo\r\n/m/024tz_,Thai pongal\r\n/m/024v9t,Cosmopolitan\r\n/m/024vw_,Erotic dance\r\n/m/024wtl,Acura tsx\r\n/m/024xsj,Delphinium\r\n/m/024y62,Mercedes-benz c-class\r\n/m/024y9s,Mercedes-benz s-class\r\n/m/024zs0,Cliff Swallow\r\n/m/02500f,Overpass\r\n/m/025069,Blue headed Vireo\r\n/m/025085,Yellow throated Vireo\r\n/m/0250bv,Manhole cover\r\n/m/0250ff,Manhole\r\n/m/0250fv,Sanitary sewer\r\n/m/0250t7,Cane\r\n/m/0250w0,Whip\r\n/m/0250x,Costume\r\n/m/0250zy,Brussels sprout\r\n/m/02519,Cable car\r\n/m/02519_,Crater lake\r\n/m/0251r3,Hyoshigi\r\n/m/0251xr,Niggerfish\r\n/m/02522,Computer monitor\r\n/m/0252db,Elapidae\r\n/m/0252tf,Eastern Kingbird\r\n/m/02531f,Thermal lance\r\n/m/02539r,Sorbus\r\n/m/0253n6,Cream liqueur\r\n/m/0253nx,Schisandra\r\n/m/0253r3,Sandman\r\n/m/02_542,Flying p-liner\r\n/m/02547q,Amarula\r\n/m/02549m,Plunger\r\n/m/0254d9,Drain cleaner\r\n/m/0254qt,Volvo 164\r\n/m/02551,Lockheed c-130 hercules\r\n/m/02553v,Toilet seat\r\n/m/0255d2,Monocle\r\n/m/0256dw,Western Kingbird\r\n/m/02_56m,Curcuma\r\n/m/02_58j,Bedroom\r\n/m/0259z1,Varied Thrush\r\n/m/025b0l,Brown trout\r\n/m/025bbs,Eastern Wood pewee\r\n/m/025bct,Western Wood pewee\r\n/m/025_bql,Isuzu d-max\r\n/m/025_c54,Alfa romeo scighera\r\n/m/025cll,Storm drain\r\n/m/025ctx,Grape seed oil\r\n/m/025dhq,Mooncake\r\n/m/025dp,Captain america\r\n/m/025dq0,Sari\r\n/m/025dqg,Idli\r\n/m/025dyy,Box\r\n/m/025f_6,Dussehra\r\n/m/025fh,Professor x\r\n/m/025fnn,Savannah Sparrow\r\n/m/025fsf,Stapler\r\n/m/025gg7,Jaguar x-type\r\n/m/025_h00,Solid-state drive\r\n/m/025_h88,White tailed prairie dog\r\n/m/025_hbp,Mercury monterey\r\n/m/02_5h,Figure skating\r\n/m/025h_m,Yellow rumped Warbler\r\n/m/025khl,Spätzle\r\n/m/025kqp,Jaguar xk\r\n/m/025kyy,Forehead\r\n/m/025_l09,Pull buoy\r\n/m/025l19,Recording\r\n/m/025l6q,Darkroom\r\n/m/025lt1,Riley motor\r\n/m/025m070,Newscaster\r\n/m/025mf5,Bmw 1 series (e87)\r\n/m/025mt3,Coregonus lavaretus\r\n/m/025nd,Christmas tree\r\n/m/025nsg,Arctostaphylos\r\n/m/025_nsv,Groot\r\n/m/025pb,Boeing vertol ch-46 sea knight\r\n/m/025q6_,Blackburnian Warbler\r\n/m/025qfg,Antique car\r\n/m/025r_0t,Lead\r\n/m/025_r8s,Sky lantern\r\n/m/025r_9s,Dividers\r\n/m/025rgl,Plush\r\n/m/025rhd,Pocket\r\n/m/025r_hy,Quad skates\r\n/m/025rm5,Prickly pear\r\n/m/025rp__,Cowboy hat\r\n/m/025rqtz,Toyota yaris\r\n/m/025rqv6,Toyota platz\r\n/m/025rrgz,Toyota tacoma\r\n/m/025rs2z,Gold\r\n/m/025rsfk,Copper\r\n/m/025rthl,Sour\r\n/m/025rtr1,Orange soft drink\r\n/m/025rtt2,Jammie dodgers\r\n/m/025rv6n,Fowl\r\n/m/025rv8x,Snifter\r\n/m/025rvy6,Emergency\r\n/m/025rw19,Iron\r\n/m/025rxrz,Internet meme\r\n/m/025rxsc,Ferns and horsetails\r\n/m/025ryqs,Comb\r\n/m/025r_z9,Projectionist\r\n/m/025s07l,Boeing c-137 stratoliner\r\n/m/025s0m5,Elektroboot\r\n/m/025s187,Humulus lupulus\r\n/m/025s18p,Okra\r\n/m/025s1d,Rice paper\r\n/m/025s1kl,Livestock guardian dog\r\n/m/025_s2m,Black mouth cur\r\n/m/025s2mp,Giant white arum lily\r\n/m/025s35_,Ravine\r\n/m/025s3q0,Landscape\r\n/m/025s3v8,Bandurist\r\n/m/025s4nn,Café\r\n/m/025s4r0,Neon\r\n/m/025s4r7,Nickel\r\n/m/025s53m,Rolling stock\r\n/m/025s_5,Least Flycatcher\r\n/m/025s5lg,Nuncio\r\n/m/025_s6d,Croatian sheepdog\r\n/m/025s71b,Nopalito\r\n/m/025s7vs,Briquet griffon vendéen\r\n/m/025s7y2,Platinum\r\n/m/025s89,Muskmelon\r\n/m/025s8bs,Shopping mall\r\n/m/025s95r,Perilla frutescens\r\n/m/025s9qt,Hug\r\n/m/025sb2w,Supersonic aircraft\r\n/m/025sbr0,Waiting room\r\n/m/025_sbw,French spaniel\r\n/m/025sd7y,Manger\r\n/m/025sd_y,Harpsichordist\r\n/m/025sf20,Sash\r\n/m/025sf8x,Silver\r\n/m/025sft7,Horse's neck\r\n/m/025sfw,Shortleaf black spruce\r\n/m/025sfz5,Icicle\r\n/m/025shvl,Mercedes-benz w111\r\n/m/025sjfn,Dragonfruit\r\n/m/025sk17,Jugger\r\n/m/025sk56,Titanium\r\n/m/025sk5n,Tin\r\n/m/025sk_9,Greater rhea\r\n/m/025smp,Chestnut sided Warbler\r\n/m/025smyp,Golfer\r\n/m/025sn53,Motorcycling\r\n/m/025sn8d,Chelydridae\r\n/m/025spgm,Gmc sprint / caballero\r\n/m/025sq3k,Dreadnought\r\n/m/025sqjr,Lancia musa\r\n/m/025srdc,Panties\r\n/m/025ss97,Environmental art\r\n/m/025st4v,Extract\r\n/m/025st_8,Meadow\r\n/m/025strv,Lardo\r\n/m/025sv9y,Landscaping\r\n/m/025swcn,Xian h-6\r\n/m/025swlx,Bolognese\r\n/m/025sx7z,Boxing glove\r\n/m/025sxc2,Toyota ist\r\n/m/025syg0,Fried clams\r\n/m/025sylx,Kayaking\r\n/m/025syph,Fighter pilot\r\n/m/025sz6n,Mitsubishi triton\r\n/m/025szts,Computer network\r\n/m/025t002,Humpback bridge\r\n/m/025t04g,Wind machine\r\n/m/025t05d,Mazdaspeed3\r\n/m/025t0lj,White Cedar\r\n/m/025t0v3,Amateur boxing\r\n/m/025t3bg,Air travel\r\n/m/025t3jt,Numeric keypad\r\n/m/025t50y,Mini mpv\r\n/m/025t6n0,Video camera\r\n/m/025t6pd,Impact wrench\r\n/m/025t7sq,Tiki\r\n/m/025t8y,Rough-toothed dolphin\r\n/m/025t9py,Workhouse\r\n/m/025tbk,Continental shelf\r\n/m/025tcm3,Swimmer delivery vehicle\r\n/m/025tcp1,Russell terrier\r\n/m/025tdjl,Nissan cherry\r\n/m/025tfvh,Epilator\r\n/m/025tg14,Opel zafira\r\n/m/025tg_m,Bush tomato\r\n/m/025t_hl,Totopo\r\n/m/025tjcb,Secondary school\r\n/m/025tjmx,Japanese martial arts\r\n/m/025tj_p,French passport\r\n/m/025t_kv,Pasteles\r\n/m/025tmgw,Complex volcano\r\n/m/025tm_k,Instant noodles\r\n/m/025tn0,Arpeggione\r\n/m/025tn5c,Terrain\r\n/m/025tng2,Opel corsa\r\n/m/025tnyc,Lumber\r\n/m/025tqsx,Cherry pie\r\n/m/025tr5z,Acoustic-electric guitar\r\n/m/025trk,Umeboshi\r\n/m/025ttd,Dreidel\r\n/m/025ttl_,Açaí na tigela\r\n/m/025tv9v,Tamalito\r\n/m/025tvs,Bentley arnage\r\n/m/025txf1,Caterham 7\r\n/m/025ty4s,Cryptid\r\n/m/025tz_,Bandura\r\n/m/025v1yg,Saturn astra\r\n/m/025v1_y,Rubab\r\n/m/02_5v2,Quinceañera\r\n/m/025v3q_,Sata andagi\r\n/m/025v5gs,Barbajuan\r\n/m/025v_89,Lebanese wine\r\n/m/025v9kj,Mixed grill\r\n/m/025v9_n,Ford landau\r\n/m/025_v,Cactus\r\n/m/025vd_8,Patty\r\n/m/025vksl,Dornier do 27\r\n/m/025vq0g,Peugeot 202\r\n/m/025vqq3,Mitsubishi toppo\r\n/m/025vx99,Bacon bits\r\n/m/025vz55,Simca esplanada\r\n/m/025w8w,Ground beetle\r\n/m/025w8wt,Kia cee'd\r\n/m/025wmcw,Cavapoo\r\n/m/025wmkq,Velvet belly lanternshark\r\n/m/025wph,Honda fit\r\n/m/025wq_z,Oncom\r\n/m/025wqzy,Pašticada\r\n/m/025wwx9,Atlantic Stingray\r\n/m/025wzm4,Purple coneflower\r\n/m/025x65,Magnolia Warbler\r\n/m/025x6pj,Shirataki noodles\r\n/m/025x_7h,Amaro\r\n/m/025xb6,Yellow Warbler\r\n/m/025xc3,Green Goblin\r\n/m/025xdlg,Cristal baschet\r\n/m/025xf_8,Microphone stand\r\n/m/025xl8k,Ottoman cuisine\r\n/m/025xpnk,Khinkali\r\n/m/025xryy,Sportswear\r\n/m/025xy7w,Vodka red bull\r\n/m/025y51l,Uaz-469\r\n/m/025y_6r,Jollyboat\r\n/m/025yb_j,Eastern Tailed blue\r\n/m/025yj0m,M35 2½-ton cargo truck\r\n/m/025ypnk,Oktoberfest celebrations\r\n/m/025ys1,Watchmaker\r\n/m/025y_sm,Maserati tipo 151\r\n/m/025yvyg,Bierwurst\r\n/m/025yy51,Foxtail lily\r\n/m/025z1hb,River lily\r\n/m/025z29,Salmonberry\r\n/m/02_5z2,Subaru pleo\r\n/m/025z_8,Cadillac eldorado\r\n/m/025z9h8,Tekkadon\r\n/m/025zfp6,Maserati mistral\r\n/m/025zgb8,Renault koleos\r\n/m/025zgs,Flight engineer\r\n/m/025zj_m,Maserati 5000 gt\r\n/m/02_5_z,Marksman\r\n/m/025zmnb,Volkswagen polo playa\r\n/m/025znc,Flip-flops\r\n/m/025zp2s,Eye shadow\r\n/m/025zqz,Cog\r\n/m/025zvj,Cimbalom\r\n/m/025zvxw,Maserati mexico\r\n/m/025zy1,Troodon\r\n/m/025zzv,Cadillac escalade\r\n/m/02601tm,Geologist's hammer\r\n/m/0260_6g,Audi rs 2 avant\r\n/m/026071,Pu-erh tea\r\n/m/02607v9,Transport hub\r\n/m/0260994,Lancia sibilo\r\n/m/0260c82,Drifter\r\n/m/0260d_1,Playground slide\r\n/m/0260fr,Gudi padwa\r\n/m/0260gg,Jaggery\r\n/m/0260gxd,Bugeye\r\n/m/0260jj,Air hockey\r\n/m/0260n84,Scratch stock\r\n/m/0260sgr,Aletris\r\n/m/0260v09,Northern Hog Sucker\r\n/m/0260vnz,Chevrolet sequel\r\n/m/0260w0b,Fiat 8v\r\n/m/0260xfq,Apple beer\r\n/m/0260ypm,Mercury commuter\r\n/m/02610g0,Honda quint\r\n/m/02610_,Nopal\r\n/m/02614f_,Amilcar c4\r\n/m/02614fn,Amilcar cc\r\n/m/02614k2,Amilcar cgss\r\n/m/02614tq,Maserati indy\r\n/m/026163b,Maserati barchetta\r\n/m/02616pk,Tokwa’t baboy\r\n/m/0261cdp,Smith flyer\n/m/0261d0,Black and white Warbler\r\n/m/0261m,Caribbean\r\n/m/02621z7,Jeep fj\r\n/m/02622zx,Bigroot\r\n/m/02624c9,Panoz dp01\r\n/m/02625df,Holden vh commodore\r\n/m/0262799,Renascence bulldogge\r\n/m/0262bf,Mullet\r\n/m/0262cl,Mullet\r\n/m/0262d4w,Kompyang\r\n/m/0262lz0,Holden vn commodore\r\n/m/0262mx0,Banana leaf\r\n/m/0262q83,Sitting volleyball\r\n/m/0262qsm,Burnet rose\r\n/m/0262r_h,Rink bandy\r\n/m/0262rsm,Damson gin\r\n/m/0262v58,Austin apache\r\n/m/0262vk,Edelweiss\r\n/m/0262yjg,Baton\r\n/m/02632rf,Maserati tipo 61\r\n/m/02635ct,Gig bag\r\n/m/02639fs,Skordalia\r\n/m/026_39w,Kaba gaida\r\n/m/0263_br,Bigoli\r\n/m/0263f0,Polish food\r\n/m/0263glj,Breaker bar\r\n/m/0263gn7,Hollyleaf cherry\r\n/m/0263jvw,Bamboo fly rod\r\n/m/0263lr1,Crop\r\n/m/0263mjj,Toyota auris\r\n/m/0263qm,Headlamp\r\n/m/0263wct,Jeep dj\r\n/m/0263x7_,Clarinet family\r\n/m/0263xl_,Budae jjigae\r\n/m/0263y68,Anju\r\n/m/0263yhl,Dubu kimchi\r\n/m/02644dd,Barking Tree Frog\r\n/m/0264_72,Dodol\r\n/m/02647_6,John goss special\r\n/m/0264hs9,Lockheed xh-51\r\n/m/0264p6,Northern Waterthrush\r\n/m/0264qm,Louisiana Waterthrush\r\n/m/0264sw6,Hsv senator\r\n/m/0264tc1,Fiat linea\r\n/m/0264_tc,Lemang\r\n/m/0264vx0,Sukhoi su-30mkk\r\n/m/0264xtl,Toyota coaster\r\n/m/0264zg,Hooded Warbler\r\n/m/02651wv,Citroën type c\r\n/m/02653m_,Tonkori\r\n/m/026543h,Street organ\r\n/m/026545k,Elk\r\n/m/02657dj,Baleada\r\n/m/02659jq,Traditional japanese musical instruments\r\n/m/0265b60,Traditional vietnamese musical instruments\r\n/m/0265fdb,Water fight\r\n/m/0265r2,Zwieback\r\n/m/0265r6q,Reyka\r\n/m/0265rtm,Sporting Group\r\n/m/0265t9v,Neo-burlesque\r\n/m/0265zpn,Lancia appia\r\n/m/0266180,Self-portrait\r\n/m/026633x,Collops\r\n/m/02666n,Light aircraft carrier\r\n/m/02668rj,Ciauscolo\r\n/m/02669r5,Anabranch\r\n/m/0266d59,Blackberry lily\r\n/m/0266h,Corona\r\n/m/0266hh5,Target archery\r\n/m/0266qrc,Acridotheres\r\n/m/0266rh,Monk\r\n/m/0266skk,Tilapia\r\n/m/0266ts8,Basset bleu de gascogne\r\n/m/0266vgv,Nissan rogue\r\n/m/0266vs5,Musk\r\n/m/02671nl,Pan de muerto\r\n/m/02673sz,Animal feed\r\n/m/02674g8,Hsv avalanche\r\n/m/02677n,Bowler hat\r\n/m/0267c6g,Caponata\r\n/m/0267lq,Leaf beetle\r\n/m/0267x8k,Meat tenderizer\r\n/m/0267y,Common chimpanzee\r\n/m/0267z56,Vietnamese coriander\r\n/m/0267z67,Soy nut\r\n/m/02682bk,Ferrari p4/5 by pininfarina\r\n/m/02684py,Chrysler executive\r\n/m/0268gv,Surfboard wax\r\n/m/0268j4y,Miyeok guk\r\n/m/0268lbt,Hiking equipment\r\n/m/0268p8v,Kunming wolfdog\r\n/m/0268qcp,Zastava 750\r\n/m/0268r0_,Polyommatus\r\n/m/0268svg,Subaru stella\r\n/m/0268t21,Car seat\r\n/m/0268z7y,Magician\r\n/m/02690hm,Mg sa\r\n/m/02691gy,Imoni\r\n/m/02693f6,Ascari a10\r\n/m/026940v,Suikerboon\r\n/m/02694dk,Cordial\r\n/m/0269_5,Antelope squirrels\r\n/m/02696d5,Gong bass drum\r\n/m/02697n,Swimfin\r\n/m/0269c8d,Dkw f102\r\n/m/0269hq0,Holden special\r\n/m/0269hw5,Kobyz\r\n/m/0269j33,Mg wa\r\n/m/026_9m,Kedgeree\r\n/m/0269r2s,Chain\r\n/m/0269sk9,Aporia\r\n/m/0269xm9,Laika\r\n/m/0269zc,American Redstart\r\n/m/026b05m,Pungsan dog\r\n/m/026b1dp,Elephant foot yam\r\n/m/026b576,Bazlama\r\n/m/026b60n,Colias\r\n/m/026b67x,Hang\r\n/m/026b_bw,Mg va\r\n/m/026bbzw,Ford falcon cobra\r\n/m/026bk,Dance\r\n/m/026blk,Mclaren f1\r\n/m/026bm66,Pull-up\r\n/m/026bs24,Tinapa\r\n/m/026byhc,Holden vl commodore\r\n/m/026c0q6,Bumblebee orchid\r\n/m/026c0s8,Fashion illustration\r\n/m/026c52y,Yaki udon\r\n/m/026c707,Tocino\r\n/m/026cv2b,Lampides\r\n/m/026cv2p,Marsdenia australis\r\n/m/026cw51,Thecla\r\n/m/026cx1m,Pontia\r\n/m/026c_yw,Polygonia\r\n/m/026d0f0,Nymphalis\r\n/m/026d34t,Melitaea\r\n/m/026dd,Dune\r\n/m/026ddqz,California special mustang\r\n/m/026df1m,Koozh\r\n/m/026dhv0,Bmw hydrogen 7\r\n/m/026dk4_,Suzuki cervo\r\n/m/026dkg8,Handysize\r\n/m/026dksl,Singapore passport\r\n/m/026dldj,Maserati sebring\r\n/m/026dmfk,Rain gutter\r\n/m/026dn91,Keşkek\r\n/m/026dp1h,Olivier salad\r\n/m/026dr46,Cancridae\r\n/m/026dtm,False killer whale\r\n/m/026dvhh,Deer hunting\r\n/m/026dx87,Yuvarlak\r\n/m/026dxsr,Sheet pan\r\n/m/026f4xq,Maserati 6cm\r\n/m/026f5kp,Chamfer plane\r\n/m/026f5rj,Maserati 420\r\n/m/026f6fx,Venom\r\n/m/026_f7,Bean bag\r\n/m/026fgl,Wind chime\r\n/m/026fm63,Calm\r\n/m/026fqp6,Gaisburger marsch\r\n/m/026g73,Bongo drum\r\n/m/026g7qf,Dacia 1300\r\n/m/026gg32,Water castle\r\n/m/026ggg2,Buuz\r\n/m/026gq16,Güveç\r\n/m/026g_r0,Vegetable tarkari\r\n/m/026gr8,Cob\r\n/m/026gs6n,Honda mobilio\r\n/m/026gtz,Great Crested Flycatcher\r\n/m/026h44b,Fiat 60 hp\r\n/m/026h46r,Fiat 520\r\n/m/026h494,Fiat 6 hp\r\n/m/026hbsg,Modest Sphinx\r\n/m/026hm2n,Nissan lafesta\r\n/m/026hrpv,Billbergia nutans\r\n/m/026j032,Fire cherry\r\n/m/026j2h3,Lotus 19\r\n/m/026j2wh,Holden vq caprice\r\n/m/026j3dq,Istrian stew\r\n/m/026j3tg,Karaage\r\n/m/026j3z9,Kakuni\r\n/m/026j4kk,Sauce boat\r\n/m/026j6v4,Maserati karif\r\n/m/026jjms,Enormous omelet sandwich\r\n/m/026jmjl,Mayflower\r\n/m/026jrwz,Tamburello\r\n/m/026k7hw,Aframax\r\n/m/026k96y,California slender salamander\r\n/m/026kccc,Bk chicken nuggets\r\n/m/026kcj5,Original chicken sandwich\r\n/m/026kcv4,Burger King grilled chicken sandwiches\r\n/m/026kds,Wii\r\n/m/026kh1d,Audi rosemeyer\r\n/m/026khh,Turrón\r\n/m/026_klt,Daihatsu materia\r\n/m/026km1b,Desert racing\r\n/m/026km7w,Fukujinzuke\r\n/m/026kn08,Tsukudani\r\n/m/026ksp4,Škoda 110 r\r\n/m/026kt6t,Smooth Solomon's seal\r\n/m/026kz50,Toyota ecom\r\n/m/026kzs_,Elephant beetle\r\n/m/026l05b,Bell 214\r\n/m/026l27p,Bristol 401\r\n/m/026l2dv,Bristol 403\r\n/m/026lc7w,Workwear\r\n/m/026lhl_,Crowfoot violet\r\n/m/026lrn_,Motor launch\r\n/m/026lrs,Napkin\r\n/m/026lry7,Chevrolet kadett\r\n/m/026lwgf,Satyrium (butterfly)\r\n/m/026lzvd,Lionfish\r\n/m/026m4_7,Skate guard\r\n/m/026m5xt,Honda that's\r\n/m/026m99h,Maserati 8c\r\n/m/026mbh_,Spotted knapweed\r\n/m/026mhtg,Step cutting\r\n/m/026mlq9,Cookie jar\r\n/m/026mn9l,Chery tiggo\r\n/m/026mnp8,İmam bayıldı\r\n/m/026mw1v,Chevrolet beauville\r\n/m/026my0h,Vesper\r\n/m/026n2xl,Kabayaki\r\n/m/026n4vy,Paperwhite\r\n/m/026n5dt,Antara\r\n/m/026nb64,Depot ship\r\n/m/026nbpz,Mountain view cur\r\n/m/026njpj,Bristol 404 and 405\r\n/m/026njxr,Bristol 406\r\n/m/026nr99,Crenate orchid cactus\r\n/m/026nsm7,Sonoma gt\r\n/m/026nvk,Cooking oil\r\n/m/026nx54,Škoda garde\r\n/m/026p07k,Dark 'n' stormy\r\n/m/026p1b8,Tongba\r\n/m/026p3yg,Gyromitra\r\n/m/026p7j9,Beach handball\r\n/m/026p7mf,Fm transmitter\r\n/m/026pbn9,Dutchman's pipe\r\n/m/026pc21,Provolone\r\n/m/026pc7x,Torte\r\n/m/026pft3,Atalopedes campestris\r\n/m/026pg_9,Grind rail\r\n/m/026_pgm,Leg extension\r\n/m/026q2np,Chrysler nassau\r\n/m/026q388,Powerchair football\r\n/m/026q566,Holden vp commodore\r\n/m/026q93,Foil\r\n/m/026qbn5,Studio couch\r\n/m/026qcqv,Bombycidae\r\n/m/026q_g9,Basque rural sports\r\n/m/026qgc,Cruise missile submarine\r\n/m/026qgvm,Flavored syrup\r\n/m/026qhh,Plastic arts\r\n/m/026q_jc,Selenicereus hamatus\r\n/m/026qs53,College ice hockey\r\n/m/026qz0j,Polish hunting dog\r\n/m/026r5c,Say s Phoebe\r\n/m/026r6ly,Pajeon\r\n/m/026r6qc,Gopchang\r\n/m/026r76w,Pebre\r\n/m/026r9rb,Austrian black and tan hound\r\n/m/026r9tr,Austrian pinscher\r\n/m/026rbnx,Styrian coarse-haired hound\r\n/m/026rclh,Tyrolean hound\r\n/m/026rjfl,Spekkoek\r\n/m/026rm0n,Crescentia cujete\r\n/m/026rnpz,Dodge 500\r\n/m/026rs28,China rose\r\n/m/026rw6,Whirligig Beetle\r\n/m/026s0q_,Bosnian coarse-haired hound\r\n/m/026s1n,Yurt\r\n/m/026s3_5,Pontiac g8\r\n/m/026s4x,Grommet\r\n/m/026s9_b,Selenicereus anthonyanus\r\n/m/026smn,Airport terminal\r\n/m/026spzd,Tteokbokki\r\n/m/026sq0g,Chevrolet bison\r\n/m/026sq4y,Chevrolet bruin\r\n/m/026sq91,Chevrolet titan\r\n/m/026sszc,Fishbone cactus\r\n/m/026swd,Rhesus macaque\r\n/m/026sxn9,Costa Rican pitahaya\r\n/m/026t37j,Pacific rhododendron\r\n/m/026t6,Drum\r\n/m/026t_c7,Hybrid electric vehicle\r\n/m/026tgjm,Sugar bowl\r\n/m/026tnj5,Prickly rose\r\n/m/026tr8y,Cafreal\r\n/m/026trmz,Matra 530\r\n/m/026tz2n,Jaguar xf\r\n/m/026v2d7,Native american indian dog\r\n/m/026v4r5,Pitahaya\r\n/m/026v87l,Citroën c-airdream\r\n/m/026vcmy,Portuguese passport\r\n/m/026vhy3,Kaya toast\r\n/m/026vr7,White tea\r\n/m/026vw03,Ford transcontinental\r\n/m/026vz7,Ski mountaineering\r\n/m/026w19n,Cruiser\r\n/m/026w47k,Bmw x6\r\n/m/026w55t,Nissan r89c\r\n/m/026w6jj,Bass worms\r\n/m/026w8b_,Fiambre\r\n/m/026w9v9,Medical procedure\r\n/m/026wh99,Attalea speciosa\r\n/m/026wq29,Shin guard\r\n/m/026wsl2,Freshwater whipray\r\n/m/026wt50,Nissan terrano ii\r\n/m/026x4qc,Morgan plus 8\r\n/m/026x5ss,Khoresh\r\n/m/026x72q,Audi a1\r\n/m/026_x9,Ponytail\r\n/m/026xd2y,Bridge mix\r\n/m/026xlvv,Rotelle\r\n/m/026xlyl,Rotini\r\n/m/026xm0p,Gemelli\r\n/m/026xm21,Lanterne\r\n/m/026xpfb,Green congo\r\n/m/026xyy,Hen-of-the-wood\r\n/m/026y54h,Alfa romeo giulietta\r\n/m/026y56,Brutalist architecture\r\n/m/026yf66,Suzuki carry\r\n/m/026yhg,Egg salad\r\n/m/026yhx6,Shacha sauce\r\n/m/026yj4,Ranch dressing\r\n/m/026yjw,Froghopper\r\n/m/026ym7,Salsa sauce\r\n/m/026ypd_,Nissan crew\r\n/m/026ypmw,Nissan livina geniss\r\n/m/026yps0,East-european shepherd\r\n/m/026yq0z,Demonstration\r\n/m/026yrss,Piper auritum\r\n/m/026yvh2,Automobile pedal\r\n/m/026yx9j,Hype energy\r\n/m/026z257,Pezizales\r\n/m/026z81p,Salumi\r\n/m/026z8g2,Hockey pants\r\n/m/026z8p9,Hockey sock\r\n/m/026z9,Disco\r\n/m/026zc1n,Caterham 7 csr\r\n/m/026zlbg,Heat torch\r\n/m/026znxp,Datsun 200b\r\n/m/026zqvy,Ford ba falcon\r\n/m/026zqx_,Canadian Thanksgiving\r\n/m/026zqzc,Thanksgiving\r\n/m/026zs7z,Sopilka\r\n/m/026zs_,Workshop\r\n/m/026ztd,Lcd projector\r\n/m/026_zv,Tautog\r\n/m/026zxj0,Mazda mxr-01\r\n/m/026zyvs,Nash statesman\r\n/m/02700gv,Ariegeois\r\n/m/02705r0,Aspin\r\n/m/0270cvd,Choripán\r\n/m/0270h,Dessert\r\n/m/0270pns,Quijada\r\n/m/02_70q,Briard\r\n/m/0270xt5,Cachupa\r\n/m/02716wf,Dacia supernova\r\n/m/0271g01,Dongfang meiren\r\n/m/0271kpq,Spanish water dog\r\n/m/0271qf7,Wine rack\r\n/m/0271tbw,Masonry trowel\r\n/m/0271t,Drink\r\n/m/0271vf7,Americano\r\n/m/0271vjb,Caffè americano\r\n/m/0271wjn,Axe throwing\r\n/m/0271xg8,Volkswagen type 147 kleinlieferwagen\r\n/m/02726mj,Dacia nova\r\n/m/02727mv,Mince and tatties\r\n/m/02729,Dill\r\n/m/0272hln,Rinderbraten\r\n/m/0272lnp,Ferragosto\r\n/m/0272px,Carolina Anole\r\n/m/0272q53,Loasaceae\r\n/m/0272ryv,Pulasan\r\n/m/0272thc,Motor glider\r\n/m/0272tvq,Harbin z-9\r\n/m/0272v9j,Salamandra\r\n/m/0272v_j,Meat chop\r\n/m/0272vv0,Wartburg 353\r\n/m/0272wmg,Roast goose\r\n/m/027337,Artisan\r\n/m/027360c,Pole climbing (gymnastic)\r\n/m/027385w,Fathead minnow\r\n/m/0273bpb,Rosa filipes\r\n/m/0273cpd,Shank\r\n/m/02_73c,Rat terrier\r\n/m/0273gv,Carbonara\r\n/m/0273j8y,Hutch\r\n/m/0273qgx,Matsusaka beef\r\n/m/0273sxl,Station master\r\n/m/0273vv4,Bristol 407\r\n/m/0273w0p,Bristol 408\r\n/m/0273wbn,Bristol 409\r\n/m/0273wml,Bristol 410\r\n/m/0273_wt,Tvr griffith 200\r\n/m/0273xdb,Ore-bulk-oil carrier\r\n/m/0273y64,Potato cake\r\n/m/02747h5,Basque shepherd dog\r\n/m/02747y8,Ghapama\n/m/0274dp,Volkswagen phaeton\r\n/m/0274hz,Citroën ax\r\n/m/0274kmf,Rock beauty\r\n/m/0274_n,Suspension\r\n/m/0274yxk,Pride of madeira\r\n/m/027504,Citroën visa\r\n/m/02751q_,Ringette\r\n/m/027542b,Gata\r\n/m/02758s,Lexus rx hybrid\r\n/m/02759h,Citroën gs\r\n/m/0275dd,Nissan navara\r\n/m/0275_,Dioscoreales\r\n/m/0275lwb,Military helicopter\r\n/m/0275mp,Ford five hundred\r\n/m/0275p1,Pontiac g6\r\n/m/0275rnb,Field archery\r\n/m/0275x85,Plug\r\n/m/0275zwr,Paint roller\r\n/m/0276krm,Fawn\r\n/m/0276mmh,Ford bf falcon\r\n/m/0276r3l,Sajji\r\n/m/0276r_s,Ginger wine\r\n/m/0276rzd,Eastern coral snake\r\n/m/0276s14,Cougnou\r\n/m/02773yr,Moscow water dog\r\n/m/0277g,Dentistry\r\n/m/0277gn,Swamp Sparrow\r\n/m/0277hb,Field desk\r\n/m/0277lbh,Pâtisserie\r\n/m/0277rq,Penny bun\r\n/m/0277t7f,Rambler six and v8\r\n/m/0277w75,Die grinder\r\n/m/0277x1n,Scion xd\r\n/m/0277xfc,Kuih kochi\n/m/0277xpm,Lotus elise gt1\r\n/m/0277z84,Eugenia stipitata\r\n/m/02782qh,Mitsubishi savrin\r\n/m/02783k9,Aachener printen\r\n/m/02_784,Display advertising\r\n/m/02785p,Tepary bean\r\n/m/0278gd,Pontiac solstice\r\n/m/0278m84,Roof rack\r\n/m/0278rf,Condensed milk\r\n/m/02790d9,Chinese passport\r\n/m/02793t_,Celery cabbage\n/m/0279780,B-52\r\n/m/0279ct,Orb-weaver spider\r\n/m/0279dj8,Creeking\r\n/m/0279jhw,Chevrolet 210\r\n/m/0279mmb,English white terrier\r\n/m/0279mnq,Mendiant\r\n/m/0279snc,Oecanthidae\r\n/m/0279wz,Audubon's Cottontail\r\n/m/0279ys5,Motsunabe\r\n/m/027b301,Candle holder\r\n/m/027b_7p,Grevillea 'robyn gordon'\r\n/m/027b95w,Massage table\r\n/m/027bb6x,Ac frua\r\n/m/02_7bd,Sai\r\n/m/027bfrb,Lincoln mkr\r\n/m/027bgq8,Fsm beskid\r\n/m/027b_j,Bicycle pump\r\n/m/027bmhm,Sports bra\r\n/m/027bt2w,Grevillea 'superb'\r\n/m/027btzg,Eagle summit\r\n/m/027b_z0,Nissan r391\r\n/m/027c1x7,Toyota ft-hs\r\n/m/027c4fw,Guarana\r\n/m/027c5z0,Batchoy\r\n/m/027c64x,Beer cocktail\r\n/m/027cb0,Graham bread\r\n/m/027cbk8,Hefekranz\r\n/m/027cfwk,Stand up paddle surfing\r\n/m/027ck2r,Kelp Bass\r\n/m/027cl0_,Bentley hunaudières\r\n/m/027cm5w,Pastry brush\r\n/m/027cnw2,Minister\r\n/m/027cqyf,Priesthood\r\n/m/027cs49,Day of arafat\r\n/m/027ct3y,Cocktail garnish\r\n/m/027cv2z,Grevillea 'honey gem'\r\n/m/027cyqw,Ginataan\r\n/m/027czm1,Chevrolet chevelle laguna\r\n/m/027_d8m,Types of trombone\r\n/m/027d99p,Hyundai trago\r\n/m/027dd3t,Black norwegian elkhound\r\n/m/027dkpz,Elo\r\n/m/027dtrb,Swedish lapphund\r\n/m/027dwg0,Lobby\r\n/m/027f65b,Valencian pilota\r\n/m/027f_6_,Maltepoo\r\n/m/027f8z,Bay laurel\r\n/m/027f9f,Bagatelle\r\n/m/027fcr2,Cavatappi\r\n/m/027ff_m,Javelin\r\n/m/027fjfr,Iba official cocktail\r\n/m/027fp07,Tejate\r\n/m/027fqck,Mostarda\r\n/m/027fqn,Nutria\r\n/m/027_fq,Orgeat syrup\r\n/m/027fwl,California laurel\r\n/m/027fytz,Petimezi\r\n/m/027fyxq,Volkswagen type 14a\r\n/m/027g41b,Mg n-type magnette\r\n/m/027g6wt,Santa claus\r\n/m/027gdv,Chicken tikka masala\r\n/m/027ggc,Naan\r\n/m/027ggs,Roti\r\n/m/027ggvx,Streusel\r\n/m/027gjj,Pakistani cuisine\r\n/m/027h1cw,Studebaker m series truck\r\n/m/027h1m2,Studebaker e series truck\r\n/m/027h61,Waterbed\r\n/m/027h6qh,Holden vt commodore\r\n/m/027h8n,Field Sparrow\r\n/m/027hgtt,Horsehair crab\r\n/m/027hk4g,Sate kambing\r\n/m/027hkkw,Affogato\r\n/m/027hq5s,Chole bhature\r\n/m/027j2m,Ford köln\r\n/m/027j4y6,Ackee and saltfish\r\n/m/027j55,Catwoman\r\n/m/027j7r_,Dobos torte\r\n/m/027j84c,Telecommunications engineering\r\n/m/027j8n,Shield bugs\r\n/m/027jf5,Oldsmobile cutlass\r\n/m/027jffb,Ford au falcon\r\n/m/027jfpy,Holden vr commodore\r\n/m/027jfr9,Holden vs commodore\r\n/m/027jfrn,Holden vx commodore\r\n/m/027jgjd,Flip\r\n/m/027jl3_,Chevrolet volt\r\n/m/027jy5t,Field handball\r\n/m/027j_zw,Bristol 411\r\n/m/027k0_l,Bristol 412\r\n/m/027k0sb,Baccalà alla vicentina\r\n/m/027k0zk,Oldsmobile starfire\r\n/m/027k49j,Bishop\r\n/m/027k4k,Athletic shoe\r\n/m/027k94,Angora rabbit\r\n/m/027khl8,Flock\r\n/m/027kkg3,Ruffle\r\n/m/027kl1,Ice cream cone\r\n/m/027klv3,Ford airstream\r\n/m/027_l3,Common sage\r\n/m/027l7y8,Mazda ryuga\r\n/m/027lcq2,Bounce house\r\n/m/027_l_,Ichneumonoidea\r\n/m/027_ll,Clary\r\n/m/027lnr6,Sakana\r\n/m/027lnzs,Iphone\r\n/m/027lt5,Peony\r\n/m/027lvcg,Bmw 550i\r\n/m/027lvj8,Ferrari 212 export\r\n/m/027lvrh,Eastern orthodox church architecture\r\n/m/027lygv,American gizzard shad\r\n/m/027lzd1,Roulade\r\n/m/027m2tg,Nissan bevel\r\n/m/027m5s1,Chilean fox terrier\r\n/m/027m9yt,Eastern Spadefoot\r\n/m/027mkjp,Bit\r\n/m/027mlyq,Khao soi\r\n/m/027mm47,Aviation ordnanceman\r\n/m/027mm8,Ford eifel\r\n/m/027mmf5,Steelworker\r\n/m/027mmrh,Bond equipe\r\n/m/027mqds,Kissel\r\n/m/027n3_,Eyebrow\r\n/m/027n3py,Tvr griffith 400\r\n/m/027n7v,Nursing home\r\n/m/027n9h,Bmx racing\r\n/m/027_nb6,Sutherlandia frutescens\r\n/m/027nc60,Russian passport\r\n/m/027nj4z,Spoon rest\r\n/m/027nlqg,Radiatori\r\n/m/027nm0f,Zil-4102\r\n/m/027nmtj,Holden efijy\r\n/m/027nptg,Poster session\r\n/m/027nq_n,Military high school\r\n/m/027nqs2,Ford cargo\r\n/m/027nwv,Lobelia\r\n/m/027_ny3,Still life photography\r\n/m/027p1nh,Throwing axe\r\n/m/027p4n4,Pescado frito\r\n/m/027pcv,Zucchini\r\n/m/027q1m,Ghillie suit\r\n/m/027q4m,Sawfly\r\n/m/027q9lw,Siomay\r\n/m/027q9n7,Cavallucci\r\n/m/027qc63,Tx4\r\n/m/027qf2,Chemical engineer\r\n/m/027qh7f,Cold weapon\r\n/m/027qhq6,Kiritanpo\r\n/m/027qjp,Scilla\r\n/m/027qpg5,Ford focus\r\n/m/027qq5k,Mazda nagare\r\n/m/027qswh,Bombardino\r\n/m/027qt9m,Madras thorn\r\n/m/027qtzz,Thanksgiving\r\n/m/027qw1p,Feathered hair\r\n/m/027r06p,Rice flour\r\n/m/027r24k,Yomari\r\n/m/027r8l9,Kia soul\r\n/m/027r9r9,Rollatini\r\n/m/027rb7,Ford ka\r\n/m/027rch,Laksa\r\n/m/027rfdx,Planishing\r\n/m/027rgy,Cockle\r\n/m/027r_hj,European Corn Borer\r\n/m/027rk7_,Capellini\r\n/m/027rl48,Ladle\r\n/m/027rm8q,Kori rotti\r\n/m/027rqv0,Steinstossen\r\n/m/027rsz,Amphipoda\r\n/m/027rt1k,Sea cave\r\n/m/027rw3,Funnel\r\n/m/027rwl,Graham flour\r\n/m/027rx_,Cream soda\r\n/m/027rz9q,Saketini\r\n/m/027s0j,Ford popular\r\n/m/027s0kx,Oldsmobile o4\r\n/m/027s1sh,Kids' meal\r\n/m/027s213,Pinesnake\r\n/m/027s69l,Bedtime\r\n/m/027s9xg,Dolichorhynchops\r\n/m/027sjjx,Alfa romeo p2\r\n/m/027sjkl,Spiced rice\r\n/m/027slhs,Track lighting\r\n/m/027ssr7,Jeep trailhawk\r\n/m/027sy32,Shishamo\r\n/m/027sy7,Hoe\r\n/m/027t307,Jaguar mark v\r\n/m/027t4wc,Rosa moyesii\r\n/m/027t55b,Gloss\r\n/m/027t5d6,Ferrari 312pb\r\n/m/027t5gm,Ferrari 312p\r\n/m/027t7q,Mulch\r\n/m/027tc3r,Lotus 62\r\n/m/027tcv3,Rally obedience\r\n/m/027td8k,Pond hockey\r\n/m/027tktx,Porsche 914-6 gt\r\n/m/027tly9,Churchkhela\r\n/m/027tn4,Kit fox\r\n/m/027tvc6,Yahni\r\n/m/027txv9,Sulfur Cosmos\r\n/m/027v2qr,Tvr tamora\r\n/m/027v63,Steam frigate\r\n/m/027v7wj,Mountain guide\r\n/m/027v9wk,Elder\r\n/m/027vj2v,Aluminium\r\n/m/027vr03,Window cleaner\r\n/m/027vyzd,Gringas\r\n/m/027vz0t,Pochas\r\n/m/027w7rt,Almond jelly\r\n/m/027w8_b,Washer pitching\r\n/m/027w92,Black salsify\r\n/m/027wbq,Marsh Wren\r\n/m/027wm3z,Array mbira\r\n/m/027wmf,Jiaozi\r\n/m/027wqlq,Rou jia mo\r\n/m/027wqvm,Burger king premium burgers\r\n/m/027wrc,Skate shoe\r\n/m/027wz5,Honda prelude\r\n/m/027wzl,Wheelchair tennis\r\n/m/027x0j,Mascara\r\n/m/027x1r,Thermae\r\n/m/027x24c,Barrel drum\r\n/m/027x3,Disease\r\n/m/027x730,Audi f103\r\n/m/027x7n,Physical fitness\r\n/m/027x8l3,Breakfast sandwich\r\n/m/027x9cl,Tanghulu\r\n/m/027xg7c,Gascon saintongeois\r\n/m/027xgj9,Grand anglo-français tricolore\r\n/m/027xhm0,Wood flooring\r\n/m/027xmcf,Salad dressing spread\r\n/m/027xmpd,Ginetta f400\r\n/m/027xnb0,Freestyle slalom skating\r\n/m/027xns3,Gougère\r\n/m/027xrjh,Ssangyong actyon\r\n/m/027xsgr,Chevrolet lumina z34\r\n/m/027xvt0,Suzuki mr wagon\r\n/m/027xxzv,Namul\r\n/m/027xyl,Baseball cap\r\n/m/027y004,Sponge\r\n/m/027y18v,Women's erotica\r\n/m/027y95,Range stormer\r\n/m/027yb05,Dogo cubano\r\n/m/027ybdx,Dogo sardesco\r\n/m/027yd3m,Nikolaschka\r\n/m/027ygbl,Jensen gt\r\n/m/027y_l4,Gull dong\r\n/m/027ylld,Puma\r\n/m/027yv56,Kerry beagle\r\n/m/027z23_,Ashure\r\n/m/027z5xc,Gull terr\r\n/m/027z7nd,Ford mustang fr500\r\n/m/027z8f4,Flattened rice\r\n/m/027zfd2,Indonesian passport\r\n/m/027zg,Dynamite\r\n/m/027zgtw,Bat-and-ball games\r\n/m/027zm8,Lemonade\r\n/m/027zmvf,Trick shot\r\n/m/027zph,House Wren\r\n/m/027zyj0,Kosambari\r\n/m/027zynh,Glory of the snow\r\n/m/02805fj,Sego lily\r\n/m/02805p,Pogo stick\r\n/m/02805sk,Holden vk commodore\r\n/m/02807f0,Triumph dolomite\r\n/m/02809c9,Jewel orchid\r\n/m/0280_d0,Isuzu tf\r\n/m/0280dvc,Centella\r\n/m/0280dy3,Overhead press\r\n/m/0280f3_,Marine architecture\r\n/m/0280fsz,Ma'amoul\r\n/m/0280j_t,Canard\r\n/m/0280mwz,Escopetarra\r\n/m/0280n4x,Caldo de pollo\r\n/m/0280nh,Fell\r\n/m/0280yrc,Tuxedo\r\n/m/028100n,Stuffed clam\r\n/m/028190g,Sno balls\r\n/m/0281mc3,Loukaniko\r\n/m/0281mfj,Surfboard shaper\r\n/m/0281_nk,Alfa romeo 8c competizione\r\n/m/0281wpp,Panoz esperante gtr-1\r\n/m/0281y20,Hotel manager\r\n/m/02822,Drama\r\n/m/02823g9,Alfa romeo giulietta\r\n/m/0282d_y,Drever\r\n/m/0282jy3,Tatra 87\r\n/m/0282k2z,Tamagoyaki\r\n/m/0282vfm,Bargirl\r\n/m/0283247,Track racing\r\n/m/0283dt1,Mouth\r\n/m/0283jr8,Orange bitters\r\n/m/0283qft,Mafaldine\r\n/m/0283_qx,Zingers\r\n/m/0283szz,Flxible new look bus\r\n/m/0283wlh,Zil-4104\r\n/m/028407s,Isotria medeoloides\r\n/m/0284d_b,Nasi campur\r\n/m/0284d,Dairy\r\n/m/0284q9j,Aojiru\r\n/m/0284w,Desert\r\n/m/02850ws,Bib\r\n/m/0285cqx,Milk punch\r\n/m/0285q1n,Sugar house\r\n/m/0285t83,German spaniel\r\n/m/0285v,Dollar\r\n/m/0285xf6,Wine cocktail\r\n/m/0285xz,Loblolly pine\r\n/m/02866k,Antonov an-124 ruslan\r\n/m/02866vf,Laboratory oven\r\n/m/02866xh,Tarpan honker\r\n/m/0286819,Formosan mountain dog\r\n/m/02868b7,Tellinidae\r\n/m/0286h_,Bow tie\r\n/m/0286knq,Fizz\r\n/m/0286mg3,Varzesh-e Bastani\r\n/m/0286p7w,Huangshan maofeng\r\n/m/0286pf0,Maojian tea\r\n/m/0286z0,Soldier beetle\r\n/m/02879bl,Classic cocktail\r\n/m/0287vkj,Changua\r\n/m/02880hp,Toyota celica gt-four\r\n/m/02886sv,Daihatsu mira gino\r\n/m/0288cd,Hatchet\r\n/m/0288d4,Splitting maul\r\n/m/0288pgr,Lotus 22\r\n/m/0288v73,Snack cake\r\n/m/0288wq,Halictidae\r\n/m/0289fq9,Pastitsada\r\n/m/0289j0,Straight pool\r\n/m/0289vbh,Yatai\r\n/m/028b8g7,Mumbo sauce\r\n/m/028b8w,Bactrian camel\r\n/m/028bd4w,Honda remix\r\n/m/028bkth,Toothache plant\r\n/m/028bn4g,Hex key\r\n/m/028c1jf,Belay device\r\n/m/028c4_,Hot rod\r\n/m/028c_8,Catcher\r\n/m/028c9c,Taiyaki\r\n/m/028cdk,Toyota supra\r\n/m/028cj8,Decapoda\r\n/m/028dpp,One-pocket\n/m/028f4,Digitalis\r\n/m/028fk3,Black throated Green Warbler\r\n/m/028ght,Applause\r\n/m/028gzq,Black-eyed pea\r\n/m/028h9_,Genmaicha\r\n/m/028hfb,Patient\r\n/m/028hh,Disaster\r\n/m/028j_4,Currant\r\n/m/028jd8,Electric ray\r\n/m/028jgv,Buckeye\r\n/m/028jh,Dipsacales\r\n/m/028jhw,Pickert\r\n/m/028jm0,Nintendo ds\r\n/m/028k2f,Elm family\r\n/m/028l9j,Ale-8-one\r\n/m/028lgz,Brown rice\r\n/m/028lhq,Dormouse\r\n/m/028ltj,Raised beach\r\n/m/028l_x,Fire marshal\r\n/m/02_8m1,Haute couture\r\n/m/028mq,Drinking game\r\n/m/028mt0,Manitoba maple\r\n/m/028mzr,Hair coloring\r\n/m/028n72,Spring peeper\r\n/m/028nw8,Right whale dolphins\r\n/m/028_p3,Crush\r\n/m/028ph1,Pierogi\r\n/m/028pv8,Spider wasps\r\n/m/028qp,Dye\r\n/m/028qtn,Douglas a-4 skyhawk\r\n/m/028r0c,Herbalism\r\n/m/028sn_,Glycera\r\n/m/028v_v,Boeing e-4\r\n/m/028vyk,Common snapping turtle\r\n/m/028wlm,Rove Beetle\r\n/m/028x2l,Butomus\r\n/m/028x7h,Rugby shirt\r\n/m/028y5g,Saarloos wolfdog\r\n/m/028ygt,Punch\r\n/m/028ylt,Mint julep\r\n/m/028z41,Canada Warbler\r\n/m/0290t8,Dog agility\r\n/m/02916,Disc golf\r\n/m/0291z5,Osmeriformes\r\n/m/02920x,Seesaw\r\n/m/0292vy,Skimboarding\r\n/m/029470,Vihuela\r\n/m/0294h7,Semolina\r\n/m/0294jb,Blond\r\n/m/0295_c,Pointe shoe\r\n/m/0295w7,Heliconia\r\n/m/0295xg,Peruvian lily\r\n/m/0296c5,Obedience training\r\n/m/0296cl,Noodling\r\n/m/0296jp,Caffè macchiato\r\n/m/029756,Goat cheese\r\n/m/0297jm,Sweet gum\r\n/m/0297sy,Ivy\r\n/m/0297yz,Flyball\r\n/m/02_98f,Shredder\r\n/m/0298qf,Air-raid shelter\r\n/m/02999y,Boeing 377\r\n/m/0299pv,Conformation show\r\n/m/029b3,Dice\r\n/m/029bcs,Australian cattle dog\r\n/m/029b_,Digital synthesizer\r\n/m/029bkp,Bandleader\r\n/m/029bm2,Computer desk\r\n/m/029bxz,Oven\r\n/m/029d4,Diode\r\n/m/029djm,Prunus spinosa\r\n/m/029f84,Gusle\r\n/m/029fcx,Prostrate Juniper\r\n/m/029fdp,Red juniper\r\n/m/029g5,Dominoes\r\n/m/029g_9y,Ice hockey position\r\n/m/029gy3,Snickers\r\n/m/029hkq,Herding\r\n/m/029hpc,Macaroni and cheese\r\n/m/029hvt,Huevos motuleños\r\n/m/029j_,Dvd\r\n/m/029jjb,Masked lapwing\r\n/m/029l41,Black tailed jackrabbit\r\n/m/029lqp,Yellow breasted Chat\r\n/m/029m8,Demon\r\n/m/029nsd,Subaru baja\r\n/m/029nsr,Wacholder\r\n/m/029r0v,Queen's lady's-slipper\r\n/m/029r6z,Casuariiformes\r\n/m/029_sk,New Zealand yam\r\n/m/029t3_,Butterflyfish\r\n/m/029t6m,Liverwurst\r\n/m/029t7g,Jägermeister\r\n/m/029tx,Dinosaur\r\n/m/029vvt,M113 armored personnel carrier\r\n/m/029wg5,Hypericum\r\n/m/029wnx,Daughter\r\n/m/029x39,Ginseng\r\n/m/029zz6,Display device\r\n/m/02b0h8,Candlenut\r\n/m/02b_2h,North american b-45 tornado\r\n/m/02b389,Bottle cap\r\n/m/02b3zh,Crabeater\r\n/m/02b_58,Douglas b-66 destroyer\r\n/m/02b5vj,Rocky mountain oysters\r\n/m/02b78d,Caciocavallo\r\n/m/02b7cp,Parrotfish\r\n/m/02b7l1,Drill bit\r\n/m/02b7w4,Dog sled\r\n/m/02_b95,Mallet\r\n/m/02b9x,Drag racing\r\n/m/02bb1s,Sniper rifle\r\n/m/02bb6f,Block plane\r\n/m/02bb73,Smoothing plane\r\n/m/02bb84,Scrub plane\r\n/m/02bb9c,Shoulder plane\r\n/m/02bbbj,Plane\r\n/m/02bbq,Day (Unit of time)\r\n/m/02bbz9,Shawarma\r\n/m/02b_c4,Ltv a-7 corsair ii\r\n/m/02bccw,Inca rope bridge\r\n/m/02bctl,Scallion\r\n/m/02bfr7,Snapper\r\n/m/02b_g9,Douglas ac-47 spooky\r\n/m/02bh5z,Love hotel\r\n/m/02bh6d,Marzipan\r\n/m/02bjjj,Punsch\r\n/m/02bjnm,Apple juice\r\n/m/02bjzr,Battōjutsu\r\n/m/02bk79,Stenella\r\n/m/02bkg,Diving\r\n/m/02bl11,Spaceplane\r\n/m/02blr4,Frankenstein's monster\r\n/m/02bm9n,Ratchet\r\n/m/02bmt1,Messerschmitt bf 108\r\n/m/0_2bn,Optoelectronics\r\n/m/02bp0t,Pekingese\r\n/m/02bp2r,Penalty kick\r\n/m/02b_p8,Northrop f-89 scorpion\r\n/m/02bp_r,Peugeot 405\r\n/m/02bpwp,Tagliatelle\r\n/m/02bpy5,Fire salamander\r\n/m/02bq55,Peugeot 504\r\n/m/02bqry,Spinner dolphin\r\n/m/02bqth,Vault\r\n/m/02brq,Dodo\r\n/m/02bs52,Subaru vivio\r\n/m/02bvmx,Douglas a-3 skywarrior\r\n/m/02bwcm,Camu camu\r\n/m/02bwwq,Power strip\r\n/m/02bx9b,Rattlesnake\r\n/m/02bxd,Didgeridoo\r\n/m/02bzrh,Martin b-26 marauder\r\n/m/02bztl,Consolidated b-32 dominator\r\n/m/02bzw7,Convair b-58 hustler\r\n/m/02c36r,Sugar pine\r\n/m/02c3nd,Indoor soccer\r\n/m/02c4kg,Net-winged insects\r\n/m/02c5nq,Paan\r\n/m/02c5_w,Langeleik\r\n/m/02c5yj,Littoral-combat ship\r\n/m/02c66f,Japanese ginger\r\n/m/02c66t,Wedding dress\r\n/m/02c6fb,Sea kale\r\n/m/02c7_p,Consolidated c-87 liberator express\r\n/m/02c7x1,Douglas c-54 skymaster\r\n/m/02c7zg,Curtiss c-46 commando\r\n/m/02c860,Chinese cinnamon\r\n/m/02c8br,Hornwort\r\n/m/02c8wd,Buoyancy compensator\r\n/m/02c9_23,Coastal and oceanic landforms\r\n/m/02c96f,Diving regulator\r\n/m/02c9p,Discus throw\r\n/m/02cbmv,Georgia pine\r\n/m/02cby3,Howler monkey\r\n/m/02cc0w,Bricklayer\r\n/m/02ccz7,Tansy\r\n/m/02cffd,Fettuccine alfredo\r\n/m/02cgkx,Weet-bix\r\n/m/02cgn0,Countdown\r\n/m/02cgt,Slalom skiing\r\n/m/02cgtz,Jerusalem artichoke\r\n/m/02cgw4,Angelica\r\n/m/02chd9,Brush\r\n/m/02cj3,Dachshund\r\n/m/02clnh,Shortbread\r\n/m/02clw3,Lantern festival\r\n/m/02cm1w,Wicket\r\n/m/02cm5m,Fiddler crab\r\n/m/02cm6w,Slapping\r\n/m/02cmvn,American holly\r\n/m/02cn26,Striped dolphin\r\n/m/02cp5,Dragon\r\n/m/02cpnw,White pine\r\n/m/02cpyp,Verbena family\r\n/m/02cqfm,Close-up\r\n/m/02cr01,Building material\r\n/m/02crq1,Couch\r\n/m/02cs3d,Nose flute\r\n/m/02cs5j,Zongzi\r\n/m/02csf,Drawing\r\n/m/02cthb,Cricket bat\r\n/m/02ctlc,Cricket ball\r\n/m/02ctm1,Mercedes-benz e-class\r\n/m/02cv4w,Garbage truck\r\n/m/02cv5l,Dumpling\r\n/m/02cvgx,Winter melon\r\n/m/02cvjv,Aquifoliaceae\r\n/m/02cvk8,Pigmy sperm whale\r\n/m/02cvpn,Mung bean\r\n/m/02cw8f,River Birch\r\n/m/02cwf_,Shrine\r\n/m/02cwm,Design\r\n/m/02cxd4,Sledding\r\n/m/02cxqb,Syrniki\r\n/m/02cxsh,Varenyky\r\n/m/02cyl6,Maltese\r\n/m/02cyt,Daredevil\r\n/m/02cyvh,Rose's lime juice\r\n/m/02cyz6,Slender Glass Lizard\r\n/m/02cz4r,Dornier do 11\r\n/m/02cz8q,Abelia\r\n/m/02czv8,Birthday cake\r\n/m/02d036,Fiat croma\r\n/m/02d1br,Spatula\r\n/m/02d28x,Snake's head\r\n/m/02d409,Teasel\r\n/m/02d46y,Cap\r\n/m/02d58x,Jade flower\r\n/m/02d64l,White day\r\n/m/02d6m5,Fox terrier\r\n/m/02d81w,Mandrill\r\n/m/02d8_9,Large-flowered cactus\r\n/m/02d9p2,Watercress\r\n/m/02d9qx,Whiteboard\r\n/m/02dc2w,Whirlpool\r\n/m/02dcv,Dhole\r\n/m/02dd2m,Peniocereus greggii\r\n/m/02dd4c,Slamball\r\n/m/02ddwp,Pencil sharpener\r\n/m/02ddy8,Honda insight\r\n/m/02df64,Hood\r\n/m/02dg27,Camembert Cheese\r\n/m/02dgv,Door\r\n/m/02dgws,Quiff\r\n/m/02dj8m,Impatiens\r\n/m/02dk44,Harmonium\r\n/m/02dk5q,State school\r\n/m/02dkrm,Resort\r\n/m/02dl1y,Hat\r\n/m/02dlfy,King cake\r\n/m/02dlh2,Conga\r\n/m/02dmjh,Garden cress\r\n/m/02dmw4,Scrambled eggs\r\n/m/02dmwz,Soufflé\r\n/m/02dmz4,Egg yolk\r\n/m/02dpc4,Almshouse\r\n/m/02dpjq,Flying fish\r\n/m/02dpzq,Southern live oak\r\n/m/02dqwm,Pincushion flower\r\n/m/02dr2w,Primrose family\r\n/m/02dr4c,Purple loosestrife\r\n/m/02dsrm,Mossy cup oak\r\n/m/02dsz,Disc jockey\r\n/m/02dszx,Corn starch\r\n/m/02_dt5,Hooded seal\r\n/m/02dv6f,Monkey wrench\r\n/m/02dwgb,Input device\r\n/m/02dx0,Durian\r\n/m/02dy7v,Spring break\r\n/m/02dyc5,Saint john's eve\r\n/m/02dypt,Carolina wren\r\n/m/02dyxy,Mamba\r\n/m/02dz6q,Soy milk\r\n/m/02f0cj,Disk array\r\n/m/02f0v5,Amazake\r\n/m/02f19w,Blowflies\r\n/m/02f1fz,West highland white terrier\r\n/m/02f1qx,Jalapeño\r\n/m/02f217,Chipotle\r\n/m/02f2gm,Beloniformes\r\n/m/02f3m_,Dickcissel\r\n/m/02f435,Seat ibiza\r\n/m/02f46l,Vindaloo\r\n/m/02f4n7,Submarine tender\r\n/m/02f4w0,Berimbau\r\n/m/02f5t8,Fife\r\n/m/02f5wl,Fugu\r\n/m/02f63f,Ramsons\r\n/m/02f6b9,Anniversary\r\n/m/02f6d7,Ford fiesta\r\n/m/02f6k6,Grumman f-11 tiger\r\n/m/02f728,Grumman e-1 tracer\r\n/m/02f7dw,Egg cream\r\n/m/02f82r,Gyūdon\r\n/m/02f8fp,Salak\r\n/m/02f8xw,Two-face\r\n/m/02f901,Proboscis monkey\r\n/m/02f98p,Purple yam\r\n/m/02f9f_,Shower\r\n/m/02f9pk,Lemur\r\n/m/02fbcn,Bartender\r\n/m/02fbl,Dharma\r\n/m/02_f_b,Pre-engagement ring\r\n/m/02fbqn,Headpiece\r\n/m/02fbz6,Marker pen\r\n/m/02fc3b,Fiat 127\r\n/m/02fc5l,Buckfast tonic wine\r\n/m/02fc6c,Fiat 124\r\n/m/02fc7g,Vaz-2107\r\n/m/02fc8k,Carolina Chickadee\r\n/m/02fcct,Clay animation\r\n/m/02fd30,Fiat uno\r\n/m/02fh1d,Japanese macaque\r\n/m/02fh7f,Eraser\r\n/m/02fhdf,Water sport\r\n/m/02fj27,Bob cut\r\n/m/02fj9,Destroyer\r\n/m/02fjhf,Chicken nugget\r\n/m/02fk2v,Milkweed\r\n/m/02_fkk,Mustang horse\r\n/m/02fkwj,Common myna\r\n/m/02fl7z,Lovage\r\n/m/02flbl,Bulgogi\r\n/m/02fll7,Siamang\r\n/m/02flvj,Empetrum\r\n/m/02fm9k,Shore\r\n/m/02fn75,Clockmaker\r\n/m/02fnrj,Tufted Titmouse\r\n/m/02fnxc,Eggs benedict\r\n/m/02fp7r,Fiddlehead fern\r\n/m/02fpjj,Malagueta pepper\r\n/m/02fpy0,Teenage puppy love\r\n/m/02fq2p,Swamp Chestnut Oak\r\n/m/02fq_6,Fedora\r\n/m/02fqjt,Thousand island dressing\r\n/m/02fqs9,Sikorsky ch-37 mojave\r\n/m/02fqtv,Ra's al ghul\r\n/m/02fslx,Hot dry noodles\r\n/m/02fsn,Double bass\r\n/m/02ftcz,Muskox\r\n/m/02_ftz,Banjo uke\r\n/m/02fv71,Pie and mash\r\n/m/02fv84,Grand marnier\r\n/m/02fvh3,Jellied eels\r\n/m/02fvjy,Mashed potato\r\n/m/02fvnn,Toad in the hole\r\n/m/02fvq7,Pork pie\r\n/m/02fvym,Goldendoodle\r\n/m/02fw59,Turkish coffee\r\n/m/02fw7w,Gurdwara\r\n/m/02fwqx,Baseball umpire\r\n/m/02fwzf,Raisin bran\r\n/m/02fx18,Frosted flakes\r\n/m/02fx5l,Icebreaker\r\n/m/02fxg8,Labradoodle\r\n/m/02fxgn,Cockapoo\r\n/m/02fxk4,Nuclear-powered icebreaker\r\n/m/02fz11,Gelato\r\n/m/02fzjg,Artemisia\r\n/m/02_g0,Funeral\r\n/m/02g0fy,Fiat 500\r\n/m/02g0g,Datura\r\n/m/02g0gt,Fiat 126\r\n/m/02g0kl,Volkswagen lupo\r\n/m/02g0m2,Naked mole-rat\r\n/m/02g1j4,Junco\r\n/m/02g1px,Cavalier\r\n/m/02g1xf,Anpan\r\n/m/02g_23,Compass\r\n/m/02g2w1,American alligator\r\n/m/02g30s,Guacamole\r\n/m/02g387,Egg\r\n/m/02g394,Bleeding-heart baboon\r\n/m/02g3bz,Quesadilla\r\n/m/02g3g4,Youtiao\r\n/m/02g3h6,Agent provocateur\r\n/m/02g3h_,Congee\r\n/m/02g3yx,Fiat tipo\r\n/m/02g40d,Salmiakki koskenkorva\r\n/m/02g49,Digital compositing\r\n/m/02g4vw,Shot glass\r\n/m/02g597,Kung fu\r\n/m/02g69s,Teaching hospital\r\n/m/02g6bk,Chastetree\r\n/m/02_g6w,Austin montego\r\n/m/02g768,White trillium\r\n/m/02g793,Dornier do j\r\n/m/02g7g2,Asparagus\r\n/m/02g800,Makar sankranti\r\n/m/02g8cb,Sekihan\r\n/m/02g901,Razor\r\n/m/02g9p4,Appalachian dulcimer\r\n/m/02gbqr,Cowpea\r\n/m/02gc6n,Bouldering mat\r\n/m/02gcq4,Western Skink\r\n/m/02gf0p,Australian terrier\r\n/m/02gfkn,Plymouth reliant\r\n/m/02gfs7,Dental floss\r\n/m/02ggtr,Boeing 247\r\n/m/02gh6t,Underwater hockey\r\n/m/02gjd7,Churchill tank\r\n/m/02gjdn,Sound design\r\n/m/02gjh8,Japanese honeysuckle\r\n/m/02gjm1,Multiflora rose\r\n/m/02gk03,Ashura\r\n/m/02gk4z,Commissar\r\n/m/02gkc2,Lockheed model 10 electra\r\n/m/02gkdy,Golden lion tamarin\r\n/m/02gkl_,Mousepad\r\n/m/02gks8,Porsche carrera gt\r\n/m/02gm3t,Douglas f4d skyray\r\n/m/02gmkb,Chitterlings\r\n/m/02gmxc,Iai kfir\r\n/m/02gmz0,Bran\r\n/m/02gmzj,Acura tl\r\n/m/02gnpl,Holi\r\n/m/02gnvc,Grumman f9f panther\r\n/m/02gnz9,Threespined Stickleback\r\n/m/02gp31,Government agency\r\n/m/02gq0p,Coal Skink\r\n/m/02gq5h,Diving mask\r\n/m/02gq7v,Diving equipment\r\n/m/02gqls,Poon choi\r\n/m/02gr4y,Swing bridge\r\n/m/02grp6,Tawhana\r\n/m/02gs3z,King penguin\r\n/m/02gs4w,Bird's nest soup\n/m/02gs9l,Castella\r\n/m/02gss8,Black belt\r\n/m/02gsv,Diary\r\n/m/02gtnt,Gomashio\r\n/m/02gv5f,Runner bean\r\n/m/02gv7_,Lima bean\r\n/m/02gw_5,Beanie\r\n/m/02gw96,Rigid-hulled inflatable boat\r\n/m/02gx17,Construction equipment\r\n/m/02gxp7,Working dog\r\n/m/02gxqz,Hunting dog\r\n/m/02gxt6,Radio receiver\r\n/m/02gy18,Skipping rope\r\n/m/02gy5l,Pilates\r\n/m/02gy8y,Energy bar\r\n/m/02gydl,Common bean\r\n/m/02gzfv,Koinobori\r\n/m/02gzhd,Monochord\r\n/m/02gzp,Dagger\r\n/m/02gzvn,Vigna subterranea\r\n/m/02h00q,Jersey\r\n/m/02h19r,Scarf\r\n/m/02h1qq,Hanabiramochi\r\n/m/02h201,Beret\r\n/m/02h275,Kemari\r\n/m/02h34q,Aero l-39 albatros\r\n/m/02h354,Cessna o-1 bird dog\r\n/m/02h36m,Falukorv\r\n/m/02h3__,Bumper pool\r\n/m/02h3jc,Hāngi\r\n/m/02h3n8,De havilland canada dhc-4 caribou\r\n/m/02h3rf,Bell 212\r\n/m/02h3sl,Fairchild c-123 provider\r\n/m/02h411,White-headed capuchin\r\n/m/02h4bp,Rose of Sharon\r\n/m/02h4sy,Douglas dc-6\r\n/m/02h5d,Debit card\r\n/m/02h661t,Dentist\r\n/m/02h664g,Baseball player\r\n/m/02h664x,Basketball player\r\n/m/02h6653,Skier\r\n/m/02h665b,Surfer\r\n/m/02h669_,Educator\r\n/m/02h66dr,Saxophonist\r\n/m/02h66dz,Cellist\r\n/m/02h66g5,Military person\r\n/m/02h66l4,Percussionist\r\n/m/02h6dmm,Bodybuilder\r\n/m/02h6fbs,Philosopher\r\n/m/02h6nb,Douglas dc-7\r\n/m/02h6nbj,Chiropractor\r\n/m/02h6ngl,Pediatrician\r\n/m/02h6nh6,Factory worker\r\n/m/02h6n_q,Choreographer\r\n/m/02h6ny1,Manicurist\r\n/m/02h6nzg,Harpist\r\n/m/02h6p1l,Swimmer\r\n/m/02h6p92,Dancer\r\n/m/02h7926,Professional boxer\r\n/m/02h7lkt,Fictional character\r\n/m/02h7vj,Japanese dolls\r\n/m/02h88bg,Hacker-pschorr weisse\r\n/m/02h8gbz,Anchor steam\r\n/m/02h90v,Matsutake\r\n/m/02h99d,Bonnet\r\n/m/02h9bf,Hood\r\n/m/02h9rm,Muroidea\r\n/m/02h9z3,Mealybug\r\n/m/02hbc,Drosophila\r\n/m/02hbhv,Northrop yf-17\r\n/m/02hc33,Mcdonnell douglas f-15e strike eagle\r\n/m/02hccx,Butcher\r\n/m/02hcw1,Floristry\r\n/m/02hd8z,Chevrolet chevette\r\n/m/02hd99,Southern magnolia\r\n/m/02hdxc,Inlet\r\n/m/02hg9x,Ketupat\r\n/m/02hgbm,Rendang\r\n/m/02hgxf,Jaguar e-type\r\n/m/02hh08,Canapé\r\n/m/02hh7d,Casa c-101\r\n/m/02_hhf,Film industry\r\n/m/02hhhb,Drill\r\n/m/02h_hw,Phragmites\r\n/m/02hj2v,Lifebuoy\r\n/m/02hj4,Dolphin\r\n/m/02hlch,Cope\r\n/m/02hlj8,Oxbow lake\r\n/m/02hlnc,Chocolate brownie\r\n/m/02hlyz,Sandlot ball\n/m/02h_mt,Broth\r\n/m/02hnl,Drums\r\n/m/02hnx9,Woody plant\r\n/m/02hqgl,Great Plains Skink\r\n/m/02hqkw,Large blue\r\n/m/02hqr87,Fashion model\r\n/m/02hqyhw,Fashion designer\r\n/m/02hr31,Austin metro\r\n/m/02hr6d,Mapo doufu\r\n/m/02hr7g,Seat león\r\n/m/02hr9q,Seat alhambra\r\n/m/02hrh1q,Actor\r\n/m/02hrx1,Inflatable boat\r\n/m/02hsk_b,Jazz drummer\r\n/m/02hsqq,Adhesive bandage\r\n/m/02hsrtn,Helicopter pilot\r\n/m/02ht342,Automobile Make\r\n/m/02ht3d,Park ranger\r\n/m/02hv37j,Anchor porter\r\n/m/02hv3b_,Paulaner hefeweizen\r\n/m/02hv3cg,Smithwick's\r\n/m/02hv3dt,Yeti imperial stout\r\n/m/02hvcj,Outrigger\r\n/m/02hx24,Eastern Tiger Swallowtail\r\n/m/02hx2j,Papilio\r\n/m/02hx38,Swallowtail butterfly\r\n/m/02hxc1,Referee\r\n/m/02hxzv,Stable\r\n/m/02hyp4,Sweetheart cake\r\n/m/02hypr9,Alaskan amber\r\n/m/02hyt6,Manager\r\n/m/02hyyr,Monokini\r\n/m/02hz3p,Chinese noodles\r\n/m/02hz9m,Mercedes-benz 600\r\n/m/02j091,Horse and buggy\r\n/m/02j_15,Chevrolet corsica\r\n/m/02j1tm,Koenigsegg ccr\r\n/m/02j20r,Koenigsegg cc8s\r\n/m/02j28w,Mugwort\r\n/m/02j2r3,Snow\r\n/m/02j_4,Easter\r\n/m/02j4fs,Madagascar cat\r\n/m/02j4ms,Groupset\r\n/m/02j4w2,Umbrella tree\r\n/m/02j6h3,Black swallowtail\r\n/m/02j71,Earth\r\n/m/02j7d_,Guenon\r\n/m/02j7p3,Spicebush Swallowtail\r\n/m/02j9j1,Ford orion\r\n/m/02jb9f,Terrace\r\n/m/02jc2g,Leapfrog enterprises\r\n/m/02jcyv,Jaguar s-type\r\n/m/02jd5z,Wat\r\n/m/02_jdw,Portuguese water dog\r\n/m/02jf28,Fair\r\n/m/02jf2p,Public address system\r\n/m/02jfb3,Panamax\r\n/m/02jfc,Education\r\n/m/02jfdl,Coupon\r\n/m/02jfl0,Sombrero\r\n/m/02jj3m,Wolfdog\r\n/m/02jjt,Entertainment\r\n/m/02jknp,Film director\r\n/m/02jl78,Ford transit\r\n/m/02jlyb,Hellboy\r\n/m/02jmwl,Chinese hibiscus\r\n/m/02jnhm,Tin can\r\n/m/02jp1h,Marketplace\r\n/m/02jpyz,Lodgepole pine\r\n/m/02jq2q,Russian olive\r\n/m/02jq33,Cotton candy\r\n/m/02jq5x,Video projector\r\n/m/02jq7g,Red pine\r\n/m/02jq87,Wolf's milk\r\n/m/02jq9f,Pond pine\r\n/m/02jqbj,Shortstraw pine\r\n/m/02jqh0,Mercedes-benz cls-class\r\n/m/02jrm7,Marine vhf radio\r\n/m/02jrz7,Wok racing\n/m/02jsng,Gas compressor\r\n/m/02jspn,Moth Orchid\r\n/m/02jt0t,Little black dress\r\n/m/02jvh9,Mug\r\n/m/02jvjf,Soda bread\r\n/m/02jvk3,Valdivian temperate rain forest\r\n/m/02jvms,Empanada\r\n/m/02jwq3,Punch\r\n/m/02jwqh,Vacation\r\n/m/02jwtj,Fried rice\r\n/m/02jxn5,Parking lot\r\n/m/02jy0y,Macrotyloma uniflorum\r\n/m/02jy19,American pitch pine\r\n/m/02jy98,Antarctic flora\r\n/m/02jyf,Ericales\r\n/m/02jz0l,Tap\r\n/m/02jz38,Boeing 314\r\n/m/02jzq0,Sumatran rhinoceros\r\n/m/02jzr,Easter egg\r\n/m/02k1gj,Beer tap\r\n/m/02k275,Wink\r\n/m/02k3b6,Kinnie\r\n/m/02k4sc,Heracleum (plant)\r\n/m/02k5b8,Rugby sevens\r\n/m/02k5jz,Shortstraw pine\r\n/m/02k5x1,Rubber band\r\n/m/02k78_,Vaz-1111\r\n/m/02k88w,Rebellion\r\n/m/02k8bg,Tape measure\r\n/m/02k8rz,Wafer\r\n/m/02k8yk,Mazda mx-3\r\n/m/02kc35,Filter\r\n/m/02kc3x,Herding dog\r\n/m/02kcj6,Collie\r\n/m/02kdmz,Pitch\r\n/m/02kdv5l,Action film\r\n/m/02kdvj,Blackboard\r\n/m/02kdvy,Pyrenean shepherd\r\n/m/02kdwr,Nazi concentration camps\r\n/m/02kdzb,Herbal\r\n/m/02kf24,Australian shepherd\r\n/m/02kfwr,Poodle\r\n/m/02kg6j,Compactor\r\n/m/02kg_6,Processed cheese\r\n/m/02kgf7,Quark cheese\r\n/m/02kgrx,Cardigan welsh corgi\r\n/m/02kh2h,Pembroke welsh corgi\r\n/m/02kh4w,Injury\r\n/m/02kh72,Parson russell terrier\r\n/m/02kj24,Flea market\r\n/m/02kjb_,Drug\r\n/m/02kk03,California lilac\r\n/m/02k_k3t,Ford\r\n/m/02kkzl,Setsubun\r\n/m/02klfh,Disc dog\r\n/m/02km6c,Cuban food\r\n/m/02kmbn,Dugout\r\n/m/02kmkn,Jack pine\r\n/m/02kmmg,Jaguar xk150\r\n/m/02kn5w,Entlebucher mountain dog\r\n/m/02kps5,Hash\r\n/m/02kpym,À la carte food\r\n/m/02kq13,Barramundi\r\n/m/02kr76,Brown sugar\r\n/m/02kshx,Clubmoss\r\n/m/02ksmb,Brown hair\r\n/m/02ktbm,Smooth collie\r\n/m/02kt__,Douglas sbd dauntless\r\n/m/02_kt,Ferrari s.p.a.\r\n/m/02_ktj,Morning\r\n/m/02_kt_,Long nose gar\r\n/m/02kv4s,Douglas dc-4\r\n/m/02kvl4g,Alpine skier\r\n/m/02kvln,Longhorn beetle\r\n/m/02kvr1,Puli\r\n/m/02kvv1,Black gram\r\n/m/02kvytt,Thread\r\n/m/02k_vz,Percussion mallet\r\n/m/02kw9d,German shorthaired pointer\r\n/m/02kwdc,German wirehaired pointer\r\n/m/02kwjt,Weimaraner\r\n/m/02kwrx,Magellanic subpolar forests\r\n/m/02ky1nr,Infiniti g20\n/m/02ky1pd,Infiniti i35\n/m/02ky1sp,Infiniti qx4\n/m/02ky346,Engineering\r\n/m/02kyqy,Roadster\r\n/m/02kyrr,Fiber crop\r\n/m/02kysw,Spaniel\r\n/m/02kyz1,Baul\r\n/m/02kznk,Thimble\r\n/m/02l00m,Camel spiders\r\n/m/02l029,Vibraslap\r\n/m/02l059,Austin maestro\r\n/m/02l215,Reflection\r\n/m/02l341,Ancient rome\r\n/m/02l3r4,Deejay\r\n/m/02l45d,Lotus 340r\r\n/m/02l4ht,Zingiber\r\n/m/02l4j4,Post oak\r\n/m/02l4p4,Capture the flag\r\n/m/02l5l9,Ford rs200\r\n/m/02l5zk,Duathlon\r\n/m/02l61f,Rough collie\r\n/m/02l6bg,Propeller\r\n/m/02l7rx,Convention center\r\n/m/02l8gn,Zookeeper\r\n/m/02l8mj,California live oak\r\n/m/02l8p9,Harbor seal\r\n/m/02l9bx,Tomatillo\r\n/m/02l9fr,Uakari\r\n/m/02l9ml,Tarte tatin\r\n/m/02lbcq,Stretcher\r\n/m/02lbzb,Lawn darts\r\n/m/02ldsk,Street artist\r\n/m/02lg5y,Latin american food\r\n/m/02lggn,European food\r\n/m/02lgjk,Pimiento\r\n/m/02lj4d,Lecithin\r\n/m/02ljcb,Batting helmet\r\n/m/02ljcp,Bighorn\r\n/m/02ljgl,Monument\r\n/m/02ljkr,Dice game\r\n/m/02ljyp,Big-game fishing\r\n/m/02ll1_,Lock\r\n/m/02llw2,Tickseed\r\n/m/02lml3,Special agent\r\n/m/02ln79,Yakisoba\r\n/m/02lpp7,Gold medal\r\n/m/02lpxq,Tvr tuscan speed 6\r\n/m/02lq5w,Silver medal\r\n/m/02lq67,Bronze medal\r\n/m/02lrhm,Citroën cx\r\n/m/02lts,Electricity\r\n/m/02lvs2,Subaru impreza\r\n/m/02lw_2,Cold cut\r\n/m/02lwdz,Wingsuit flying\r\n/m/02lx2r,Album\r\n/m/02lxj,Electrical network\r\n/m/02lymg,Blavod\r\n/m/02m16_,Ostrich fern\r\n/m/02m1g3,Western Fence Lizard\r\n/m/02m1j0,Honda inspire\r\n/m/02m1vq,Personal grooming\r\n/m/02m1w1,Timer\r\n/m/02m26k,Garlic chives\r\n/m/02m2tv,African daisy\r\n/m/02m3jr,Lavochkin la-5\r\n/m/02m4rk,Dutch clover\r\n/m/02m57w,Groom\r\n/m/02m6ts,Negroni\r\n/m/02m6x0,Mitsubishi lancer evolution\r\n/m/02m76d,Food poisoning\r\n/m/02m7f0,Wedding soup\r\n/m/02m7hm,Sagebrush\r\n/m/02mbkm,Grumman f6f hellcat\r\n/m/02mcl9,Wheelchair rugby\r\n/m/02md50,Western yellow pine\r\n/m/02mdrb,Guanaco\r\n/m/02mdxj,Newspaper delivery\r\n/m/02mf_0,Leaf nosed bat\r\n/m/02mf1n,Gadget\r\n/m/02mfpb,Croydon facelift\r\n/m/02mfyn,Car alarm\r\n/m/02mg4z,Cheesecake\r\n/m/02mgm6,Shoulder\r\n/m/02mhj,Ecosystem\r\n/m/02mjl8,Long tailed Weasel\r\n/m/02mjln,Ford escape hybrid\r\n/m/02mjn7,Honda civic hybrid\r\n/m/02mjpr,Bmw 5 series\r\n/m/02mjtr,Weasel\r\n/m/02mk9,Engine\r\n/m/02mkm0,Citroën bx\r\n/m/02mm_,Energy\r\n/m/02mn0l,Samosa\r\n/m/02mnkq,Bumper\r\n/m/02mnl4,Cadillac seville\r\n/m/02mp9v,Mat\r\n/m/02mprz,Veena\r\n/m/02_mq7,Spear thistle\r\n/m/02mqfb,Can opener\r\n/m/02_mqn,Semi-submersible\r\n/m/02_mr1,European marsh thistle\r\n/m/02mrjt,North american fraternity and sorority housing\r\n/m/02mrp4,Bomb vessel\r\n/m/02mrp,Electronics\r\n/m/02ms64,Patrol boat\r\n/m/02msn_,Marmoset\r\n/m/02m_t0,Aston martin db9\r\n/m/02mtjy,Citroën traction avant\r\n/m/02mtq_,Gun dog\r\n/m/02mtw0,Mehndi\r\n/m/02mtys,Bmw 3 series\r\n/m/02mv4d,Aston martin vanquish\r\n/m/02mvfg,Hdmi\r\n/m/02mwm5,Police dog\r\n/m/02mwvg,Swift fox\r\n/m/02mwzg,Plateau\r\n/m/02mxl6,Amaretto\r\n/m/02mybp,Buick riviera\r\n/m/02myp8,Stargazy pie\r\n/m/02mysf,Cadillac coupe de ville\r\n/m/02mzbr,Buick electra\r\n/m/02mzl,Ethiopian food\r\n/m/02mzpl,Aulos\r\n/m/02n106,Landing craft\r\n/m/02n1k,Erosion\r\n/m/02n1nf,Pontiac grand prix\r\n/m/02n2b3,Audi a6\r\n/m/02n3c4,Ford explorer\r\n/m/02n3dt,Hot chocolate\r\n/m/02n44t,Apple cider\r\n/m/02n47_,Tambura\r\n/m/02_n4n,Potty training\r\n/m/02n4pm,Oldsmobile 98\r\n/m/02n4tj,Oldsmobile 88\r\n/m/02n4yy,Pontiac catalina\r\n/m/02n55c,Pontiac bonneville\r\n/m/02n5q4,Lincoln town car\r\n/m/02_n5s,Coltsfoot\r\n/m/02n62_,Cutter\r\n/m/02n6kc,Bansuri\r\n/m/02n6m5,Sun tanning\r\n/m/02n6pg,Tanning bed\r\n/m/02_n6y,Goggles\r\n/m/02n7rn,Paddy field\r\n/m/02n9jn0,Gmc sonoma\r\n/m/02nb1,Eight-ball\r\n/m/02nbfq4,Nissan\r\n/m/02nbwp,Tyrrell p34\r\n/m/02ncgt,Oldsmobile toronado\r\n/m/02ndh1,Marten\r\n/m/02ndjp,Mousetrap\r\n/m/02ndl5,Optician\r\n/m/02ndsh,Renault clio\r\n/m/02nf1k,Siberian tiger\r\n/m/02nfvx,Holy saturday\r\n/m/02nfxt,Residential area\r\n/m/02ng2f,Frog legs\r\n/m/02ngb1,Ultramarathon\r\n/m/02ngh,Emoticon\r\n/m/02ngzz,Cendol\r\n/m/02nj61,Fisher\r\n/m/02nld0,Hillman imp\r\n/m/02nm6c,Chard\r\n/m/02nm75,Collard greens\r\n/m/02_nmk,Mayweed\r\n/m/02nmnh,Celeriac\r\n/m/02_nmy,Chamomile\r\n/m/02nnps,Relief\r\n/m/02nnq5,Longboard\r\n/m/02nnr7,Monkfish\r\n/m/02nnr_,Monkfish\r\n/m/02nnw0,Masala chai\r\n/m/02np4,Eucharist\r\n/m/02np_k,Triumph dolomite\r\n/m/02npn,Eclipse\r\n/m/02npsp,Ratchet\r\n/m/02npt1,Dried fruit\r\n/m/02nqvt,Ford probe\r\n/m/02nqx9,Citroën c5\r\n/m/02nr16,Ford capri\r\n/m/02n_r1,Common tormentil\r\n/m/02nrcc,Cyclamen\r\n/m/02nrd0j,Maybach 57\r\n/m/02_nrl,Arracacia xanthorrhiza\r\n/m/02n_s4,Korean jindo dog\r\n/m/02nscg,Bearded collie\r\n/m/02ntc1,Gridiron football\r\n/m/02ntfj,Action-adventure game\r\n/m/02ntq6,Tarn\r\n/m/02nv2q,Northrop yf-23\r\n/m/02nvbj,Lockheed yf-12\r\n/m/02nvjx,Place of worship\r\n/m/02nvpkg,Grolsch\r\n/m/02nwsj,Petlyakov pe-2\r\n/m/02nw_s,Luthier\r\n/m/02nwyy,Malted milk\r\n/m/02nx2gc,Wrestler\r\n/m/02nxgp,Postal worker\r\n/m/02nxqmh,Painter\r\n/m/02nxvt,Aston martin lagonda\r\n/m/02ny06,Lotus esprit\r\n/m/02nyrg,Masala\r\n/m/02nz4y,Alfa romeo sz\r\n/m/02nzj2,Windflower\r\n/m/02nzw0,Warehouse\r\n/m/02p009,Aston martin bulldog\r\n/m/02p01q,File\r\n/m/02p_02,Lockheed martin x-33\r\n/m/02p04r,Eagle talon\r\n/m/02p0_8y,Hand fan\r\n/m/02p0qmm,College\r\n/m/02p0sll,Wave\r\n/m/02p0tb6,Zooplankton\r\n/m/02p0tk3,Human body\r\n/m/02p0w7s,Parakeet\r\n/m/02p0xd4,Bopis\r\n/m/02p0_xl,Waterfowl\r\n/m/02p0y0y,Hazard\r\n/m/02p0zyj,Riot\r\n/m/02p16m6,Flesh\r\n/m/02p16pn,Academic certificate\r\n/m/02p1_84,Ford mainline\r\n/m/02p1_8d,Narrows\r\n/m/02p18m,Experimental aircraft\r\n/m/02p1cnt,Skort\r\n/m/02p1d4,St. bernard\r\n/m/02p1fkx,Text messaging\r\n/m/02p1_fp,Southern right whale dolphin\r\n/m/02p1p9m,Shashlik\r\n/m/02p1ph2,Short-finned pilot whale\r\n/m/02p1q8p,Broccoflower\r\n/m/02p1qsd,Bottlenose whales\r\n/m/02p1xh,Marching\r\n/m/02p2c3,Chrysler cirrus\r\n/m/02p2dps,Ferrari 328\r\n/m/02p2h0,Puroresu\r\n/m/02p2_l5,Pares\r\n/m/02p2nn,Cream cheese\r\n/m/02p2tbq,Kudu\r\n/m/02p30vv,3d modeling\r\n/m/02p32yc,Vanilla extract\r\n/m/02p3603,Gruel\r\n/m/02p3763,West Coast Lady\r\n/m/02p378,Royal aircraft factory b.e.2\r\n/m/02p39bz,Shoemaking\r\n/m/02p3dr,Grumman f8f bearcat\r\n/m/02p3lk,Punjabi cuisine\r\n/m/02p3w7d,Roller skates\r\n/m/02p413,Pantry\r\n/m/02p43dr,Current transformer\r\n/m/02p43p3,Barberton daisy\r\n/m/02p45tb,Laser level\r\n/m/02p47fb,Buick apollo\r\n/m/02p4bv,Mudflat\r\n/m/02p4dfn,Lectern\r\n/m/02p4kj0,Beef wellington\r\n/m/02p4mnq,Shopping bag\r\n/m/02p4pnv,Blow torch\r\n/m/02p4s13,Nectarine\r\n/m/02p52fy,Bamboo shoot\r\n/m/02p52t,Volkswagen corrado\r\n/m/02p5772,Tortelloni\r\n/m/02p5crg,Potage\r\n/m/02p5cxb,Ford super duty\r\n/m/02p5f1q,Coffee cup\r\n/m/02p5lkw,Grape seed extract\r\n/m/02p5p9,Gunfighter\r\n/m/02p66h,Spider monkey\r\n/m/02p68t,Volkswagen type 2\r\n/m/02p6k8p,Bouquet\r\n/m/02p6yqp,Porsche 962\r\n/m/02p707n,Western red lily\r\n/m/02p71s1,Crown of thorns\r\n/m/02p7217,Fuzzy navel\r\n/m/02p73vr,Mercedes-benz 500e\r\n/m/02p74bx,Leftovers\r\n/m/02p74fl,City chicken\r\n/m/02p7c47,Republic f-84f thunderstreak\r\n/m/02p7lcl,Strawberry guava\r\n/m/02p7s4c,Pet food\r\n/m/02p7syk,Pickled egg\r\n/m/02p81ht,Hot air ballooning\r\n/m/02p83j,Manila galleon\r\n/m/02p_8bb,Hook\r\n/m/02p8hn_,Transcriber\r\n/m/02p8n9v,Toyota land cruiser prado\r\n/m/02p8qh,Patio\r\n/m/02p8sg4,Rice noodle roll\r\n/m/02p90rx,Nissan almera tino\r\n/m/02p9658,Coquelicot\r\n/m/02_p97,Black tailed Deer\r\n/m/02p9d7,Grumman f-9 cougar\r\n/m/02p9kh,Receptionist\r\n/m/02p9y7b,Dolly mixture\r\n/m/02pb6j,Mercedes-benz r-class\r\n/m/02pb9jl,Brown bread\r\n/m/02pb9x,Volvo v50\r\n/m/02pc0z0,Snatch land rover\r\n/m/02pchp,Key lime pie\r\n/m/02pcnz,Weisswurst\r\n/m/02pcvp5,Zapiekanka\r\n/m/02pd37,Overall\r\n/m/02p_d7x,Pink quill\r\n/m/02pd88,Mahout\r\n/m/02pd8_,Bluegill\r\n/m/02pdc4,Volkswagen passat\r\n/m/02pdgfz,Potato skins\r\n/m/02pdnt1,Sun visor\r\n/m/02pdnx,Cafeteria\r\n/m/02pdsw,Cutting board\r\n/m/02p_dt,Infiniti qx56\n/m/02pdvpt,Fashion show\r\n/m/02pd__z,Long hair\r\n/m/02pf01c,Atlantic croaker\r\n/m/02pfd6,Cur\r\n/m/02pfwpv,Fermented bean paste\r\n/m/02p_g5,Mercedes-benz slr mclaren\r\n/m/02pggg,Sea snake\r\n/m/02pgmhj,Ford taurus x\r\n/m/02pg_sb,Haejangguk\r\n/m/02pgspm,Curculio\r\n/m/02pgx1z,Klemm kl 35\r\n/m/02p_gy,Toyota avalon\r\n/m/02ph9m2,Set tool\r\n/m/02ph_gz,Carpenter pencil\r\n/m/02phwj2,Display window\r\n/m/02phwlv,Triumph mayflower\r\n/m/02phwyk,Shumai\r\n/m/02pj5qr,Highball\r\n/m/02pjdbr,Sour cherry soup\r\n/m/02pjqs,Ristretto\r\n/m/02pjr4,Blender\r\n/m/02pjsxj,Ford el falcon\r\n/m/02pjs_z,Cork hat\r\n/m/02pjth2,Buick y-job\r\n/m/02pjw5r,Suzuki lapin\r\n/m/02pk4pj,Sea arrowgrass\r\n/m/02_pk7,Military parade\r\n/m/02pkb3s,Alfa romeo giulia tz\r\n/m/02pkb8,Lady\r\n/m/02pkbkw,Stinger\r\n/m/02pkh7_,Renault alpine a442\r\n/m/02pkjyd,Volkswagen polo gti\r\n/m/02pkm_z,Rock crab\r\n/m/02pkqyx,Iris albicans\r\n/m/02pkr5,Plumbing fixture\r\n/m/02pk_yw,False shagbark hickory\r\n/m/02pl0tr,Dorgi\r\n/m/02pl1fs,Kabsa\r\n/m/02pl1rd,Nissan gt-r\r\n/m/02pl3tr,Violet woodsorrel\r\n/m/02plb23,Ski\r\n/m/02pld,Elf\r\n/m/02pldym,Superfruit\r\n/m/02plmlv,Airco dh.5\r\n/m/02plp2,Xbox 360\r\n/m/02pltrv,Cross-country cycling\r\n/m/02pm5qq,Maserati granturismo\r\n/m/02pm79r,Green spot\r\n/m/02pmg66,Htt pléthore\r\n/m/02pmm8c,Rover 10\r\n/m/02pmq73,Winter squash\r\n/m/02pmvg7,Alfa romeo mito\r\n/m/02pn517,Pale jewelweed\r\n/m/02pn7_d,Resaw\r\n/m/02pnc4v,Great barra cuda\r\n/m/02pnd__,Honda crossroad\r\n/m/02pnh2,Subaru loyale\r\n/m/02pnl07,X-rated fusion\r\n/m/02pnqzx,Dampfnudel\r\n/m/02pnv61,Cleaner\r\n/m/02pnv6,Audi tt\r\n/m/02pp4mc,Bohemian shepherd\r\n/m/02pp4q3,Street stunts\r\n/m/02pp6x0,Kenkey\r\n/m/02pp8n1,Pincho\r\n/m/02ppbk1,English coonhound\r\n/m/02ppgqr,International mxt-mv\r\n/m/02ppnm,Stove\r\n/m/02pqcnh,Cheerleading uniform\r\n/m/02pqcrl,Charity\r\n/m/02pqgph,Purple milkweed\r\n/m/02pqjcv,Self-help book\r\n/m/02pqjrj,Gundruk\r\n/m/02pqtqn,Toyota ractis\r\n/m/02pqz_g,Keystone module\r\n/m/02pr0jg,Bacardi cocktail\r\n/m/02pr1vf,Clodian Apollo\r\n/m/02pr2yj,Paradise\r\n/m/02pr33q,Rose\r\n/m/02pr_3j,Coastal cutthroat trout\r\n/m/02pr3lv,Golden dream\r\n/m/02pr78,Kneeboarding\r\n/m/02pr9tc,Indomie\r\n/m/02prdvx,Uaz patriot\r\n/m/02prvcr,Changhe z-11\r\n/m/02prwx,Bazaar\r\n/m/02ps296,Western mastiff bat\r\n/m/02ps2mj,Vauxhall vxr8\r\n/m/02ps3tp,Sevai\r\n/m/02ps_43,Tooth brushing\r\n/m/02ps9tv,Lotus 2-eleven\r\n/m/02pscdd,Alfa romeo rl\r\n/m/02pshl5,Rotor\r\n/m/02psk3p,Microphone preamplifier\r\n/m/02ps_t2,Sharp toothed goldenrod\r\n/m/02pstc1,Japanese slipper\r\n/m/02pstds,Kamikaze\r\n/m/02psthj,Orgasm\r\n/m/02pswnc,Sea breeze\r\n/m/02psy6x,Haft-seen\r\n/m/02psyd2,Zombie\r\n/m/02psyj6,Byd flyer\r\n/m/02pt3p5,Common guava\r\n/m/02p_tbc,Punch\r\n/m/02ptk12,Pegu club\r\n/m/02ptv3_,Hummingbird Clearwing\r\n/m/02pv0pf,Nursery\r\n/m/02pv18t,Beagle-harrier\r\n/m/02pv19,Stop sign\r\n/m/02pv3hz,100plus\r\n/m/02pv4v7,Chief cook\r\n/m/02pvbb,Mansion\r\n/m/02pvdp6,Red seabream\r\n/m/02pvg3,Tim tam\r\n/m/02pvh5_,Tatra 97\r\n/m/02pvk_d,Chery a5\r\n/m/02pvp89,Chilorio\r\n/m/02pvpx7,Heath aster\r\n/m/02pvrmy,Stampe sv.4\r\n/m/02pvth1,Kawasaki c-2\r\n/m/02pw6ts,Koulourakia\r\n/m/02pw94c,Spyker c12 zagato\r\n/m/02pwrwr,Holden fj\r\n/m/02pwtz3,Alfa romeo matta\r\n/m/02pwwkd,Alfa romeo 6c\r\n/m/02px0j1,Perfoliate thoroughwort\r\n/m/02px0wr,Dating\r\n/m/02px13,Nasa x-43\r\n/m/02px1zt,Match rifle shooting\r\n/m/02px2zy,Surface lure\r\n/m/02px6,Espagnole sauce\r\n/m/02pxbny,Chicken marsala\r\n/m/02pxbsq,A.l.f.a 24 hp\r\n/m/02pxh01,Earthquake\r\n/m/02pxllv,Blue picardy spaniel\r\n/m/02pxq75,Viburnum prunifolium\r\n/m/02pxsfv,Fist bump\r\n/m/02py09,Natural environment\r\n/m/02py1,Escort carrier\r\n/m/02py307,Beach tennis\r\n/m/02py351,Ticket\r\n/m/02py57t,Alexander\r\n/m/02py5ks,Hyundai i30\r\n/m/02pyf50,Offshore drilling\r\n/m/02pyg,Extreme sport\r\n/m/02pyjsl,A.l.f.a. 40/60 gp\r\n/m/02pyqpc,Audi e-tron\r\n/m/02pyqxy,Iso fidia\r\n/m/02pz3np,Thunnus\r\n/m/02pz5g2,Light commercial vehicle\r\n/m/02pzcwt,Alfa romeo p1\r\n/m/02pzdjg,Pheasant's-eye\r\n/m/02pzhb,Transall c-160\r\n/m/02pzlrk,Bus garage\r\n/m/02pzpfh,Ngoni\r\n/m/02pzphx,Galiot\r\n/m/02p_zwj,Perodua rusa\r\n/m/02pzxqn,Shining willow\r\n/m/02pzzc7,Mg 7\r\n/m/02q04b4,Lymnaeidae\r\n/m/02q08p0,Dish\r\n/m/02q0900,Wetterhoun\r\n/m/02q0j3,Martin xb-51\r\n/m/02q0mbw,Toyota aa\r\n/m/02q0tk,Boza\r\n/m/02q0vj7,Civet\r\n/m/02q0w12,Bells of ireland\r\n/m/02q11hy,Canopy bed\r\n/m/02q13x7,Fishing vessel\r\n/m/02q14b,Douglas xb-42 mixmaster\r\n/m/02q1b85,Boarding\r\n/m/02q1bdn,Pride of India\r\n/m/02q1pvs,Avruga caviar\n/m/02q1q3q,Spur\r\n/m/02q1tp,Polenta\r\n/m/02q1v5_,White cinquefoil\r\n/m/02q24dq,Bryndzové halušky\r\n/m/02q266,Goatherd\r\n/m/02q2b29,Imagawayaki\r\n/m/02q2dt8,Georgian cuisine\r\n/m/02q2h69,Lisianthus\r\n/m/02q2kc3,Vehicle door\r\n/m/02q2m0r,Dog toy\r\n/m/02q_2q,Basement\r\n/m/02q2qc,Greeting\r\n/m/02q2rdb,Octopus\r\n/m/02q2rk,Pontefract cake\r\n/m/02q2rx,Austin ambassador\r\n/m/02q2skw,Vasilopita\r\n/m/02q2tv2,American witch hazel\r\n/m/02q2yq5,Rolls-royce phantom drophead coupé\r\n/m/02q302j,Isaw\r\n/m/02q3d5,Memorial\r\n/m/02q_3jq,Street gutter\r\n/m/02q3m7h,Music stand\r\n/m/02q3ns4,Aeronca l-16\r\n/m/02q3p5x,Floating restaurant\r\n/m/02q415b,Gallery rifle shooting\r\n/m/02q41n3,Cerelac\r\n/m/02q48kj,Sideroxylon lanuginosum\r\n/m/02q48l6,Irish potato candy\r\n/m/02q48w4,Iso lele\r\n/m/02q4f5,Po' boy\r\n/m/02q4qb,Hydroplane racing\r\n/m/02q4sty,Siu yeh\r\n/m/02q4tw8,Woman warrior\r\n/m/02q_58,Coccoloba uvifera\r\n/m/02q5fw,Porsche 930\r\n/m/02q5nq,Joss paper\r\n/m/02q5pkp,Capirotada\r\n/m/02q5ptz,Palm branch\r\n/m/02q5pxq,Aircraft cabin\r\n/m/02q5rd5,Blackball (pool)\r\n/m/02q5wg8,Arroz a la valenciana\r\n/m/02q5yd,Mercedes-benz 450sel 6.9\r\n/m/02q60ls,Conference hall\r\n/m/02q64g_,German spitz mittel\r\n/m/02q64zt,Tajima cattle\r\n/m/02q68d8,Champagne stemware\r\n/m/02q69yl,Piercing saw\r\n/m/02q6gxg,Ford flex\r\n/m/02q_6k_,Spritz\r\n/m/02q6t4t,Sausage bun\r\n/m/02q6t87,Paper wrapped cake\r\n/m/02q6t8,Loquat\r\n/m/02q6v0_,Sugarcane juice\r\n/m/02q6wxt,Karakachan dog\r\n/m/02q6x85,Red bean ice\r\n/m/02q6ywr,Cream bun\r\n/m/02q6z0x,Jin deui\r\n/m/02q6z_4,Betony\r\n/m/02q6zmg,Almond biscuit\r\n/m/02q738s,Rompope\r\n/m/02q7__7,Steel casing pipe\r\n/m/02q7bch,Hyundai genesis\r\n/m/02q7cb7,Hardcourt bike polo\r\n/m/02q7plb,Cloche hat\r\n/m/02q7w6,Caravanserai\r\n/m/02q7ylj,Daytime\r\n/m/02q8hl7,Plain loaf\n/m/02q8hw1,Stuffed peppers\r\n/m/02q8km4,Blue lagoon\r\n/m/02q8sbd,Cylindrical grinder\r\n/m/02q8tbd,Alloy wheel\r\n/m/02q8v3w,Boss 429\r\n/m/02q8v57,Infiniti ex\r\n/m/02q8x0s,Garlic salt\r\n/m/02q9045,Alfa romeo gran sport quattroruote\r\n/m/02q915j,Flannel flower\r\n/m/02q9ddz,Eyelash extensions\r\n/m/02q9f7f,Butterfly orchid\r\n/m/02q9l56,Swikee\r\n/m/02q9mth,Alpine aster\r\n/m/02q_9vk,Mongolian barbecue\r\n/m/02qb149,Garter\r\n/m/02qb4pr,Alfa romeo tipo 308\r\n/m/02qb5m,Antifreeze\r\n/m/02q_bfg,Tints and shades\r\n/m/02qbh9r,Long-tail boat\r\n/m/02qbh_s,Yamaha sy77\r\n/m/02qbj9r,American Senna\r\n/m/02qbjtx,Potato wedges\r\n/m/02qbl1m,Photo shoot\r\n/m/02qbp7r,Filter\r\n/m/02qbt67,Case\r\n/m/02qbx9l,Temporary tattoo\r\n/m/02qcb7,Sun bear\r\n/m/02qcdx1,Satay celup\r\n/m/02qc_h,Adansonia\r\n/m/02qc_j_,Alfa romeo disco volante\r\n/m/02qct5d,Calisson\r\n/m/02qctq,Pitaya\r\n/m/02qcwt_,Acura arx-01\r\n/m/02qcyn,Sugar-apple\r\n/m/02qczf,Custard-apple\r\n/m/02qczvn,Chaas\r\n/m/02qd07p,Prawn ball\r\n/m/02qd3yz,Bicycle basket\r\n/m/02qd5f,Maserati bora\r\n/m/02qd6h,Ferrari testarossa\r\n/m/02qd_7,Clock tower\r\n/m/02qd843,Subaru tribeca\r\n/m/02qdg3n,Meadow jumping mouse\r\n/m/02qdp00,Alfa romeo 33.2\r\n/m/02qdph4,Lotus mark viii\r\n/m/02qds11,Agua de valencia\r\n/m/02qdtd2,Chaga mushroom\r\n/m/02qdw77,Native Sowthistle\r\n/m/02qdwbp,Net\r\n/m/02qdwfs,Perennial sowthistle\r\n/m/02qdx10,Dauer 962 le mans\r\n/m/02qf0bv,Kushikatsu\r\n/m/02qf1h5,Electric fan\r\n/m/02qf255,Nuomici\r\n/m/02qf2cq,White sugar sponge cake\r\n/m/02q_f2f,Cotechino modena\r\n/m/02qf378,Old overholt\r\n/m/02qf5z,Boeing x-45\r\n/m/02qf606,Crepe ginger\r\n/m/02qfb2x,Malt loaf\r\n/m/02qfg0m,Wolseley hornet\r\n/m/02q_fl,Fabada asturiana\r\n/m/02qfmmq,Ilex decidua\r\n/m/02qfr4z,Shear\r\n/m/02qfx,Embroidery\r\n/m/02qg4dj,Chal\r\n/m/02qg7dt,Leek soup\r\n/m/02qg8zn,Morteau sausage\r\n/m/02qg91d,Field house\r\n/m/02q_ghr,Royal aircraft factory f.e.8\r\n/m/02qgnph,Mg 3\r\n/m/02qgnsl,Mg 5\r\n/m/02qgr6h,Mazda 323f\r\n/m/02qh0vq,Orange flower water\r\n/m/02qhdxw,Honda mobilio spike\r\n/m/02qhdzl,Climbing salamander\r\n/m/02qhf3,Volkswagen touareg\r\n/m/02qhfw3,Samanu\r\n/m/02qhj9k,Applejack\r\n/m/02qhwc4,Full breakfast\r\n/m/02qhy8p,Maserati 26m\r\n/m/02qhyqs,Oldsmobile aerotech\r\n/m/02qj1_d,Tailstock\r\n/m/02qj2wz,Centerless grinding\r\n/m/02qj4fl,Virginia Rose\r\n/m/02qj9qr,Alfa romeo 12c\r\n/m/02qjksn,Bracket\r\n/m/02qjv,Electronic musical instrument\r\n/m/02q_jyf,Window valance\r\n/m/02qk359,Whaleback\r\n/m/02qkpld,Horse grooming\r\n/m/02ql4yj,Racketlon\r\n/m/02ql596,Ruf ctr3\r\n/m/02ql9s6,Ruf rk coupe\r\n/m/02qlb71,Brem\r\n/m/02qlh2l,Swamp football\r\n/m/02qllrh,Porcelaine\r\n/m/02qly5,Syzygium samarangense\r\n/m/02qlzz,Havana brown\r\n/m/02qm2x,Icing\r\n/m/02qmbw4,Enchytraeus buchholzi\r\n/m/02qmkz,Whopper\r\n/m/02qmrb,Rice milk\r\n/m/02qn_1j,Wild horsemint\r\n/m/02qn83t,Farmworker\r\n/m/02qng62,Bisi bele bath\r\n/m/02qngv0,Chitranna\r\n/m/02qnpc,Northrop yb-35\r\n/m/02qnqx,Northrop yb-49\r\n/m/02qnsr0,Tutti frutti\r\n/m/02qnyt9,Ragi mudde\r\n/m/02qp0vy,Gem squash\r\n/m/02qp43g,Fiat 238\r\n/m/02qp_b,Makeover\r\n/m/02qpfwl,Figure skating lifts\r\n/m/02qpvtx,Dandelion\r\n/m/02qpwnc,Lacrosse glove\r\n/m/02qq0gy,Toyota liteace\r\n/m/02qq0s,Saltwater crocodile\r\n/m/02qq55k,New york aster\r\n/m/02qq7bf,Diana Fritillary\r\n/m/02qqd4n,Fashion design\r\n/m/02qqpxj,Chiboust cream\r\n/m/02qqv63,Oil-filter wrench\r\n/m/02qr2jm,Beriev a-40\r\n/m/02qr3y_,Northern inuit dog\r\n/m/02q_rh6,Cleat\r\n/m/02qrrb,Bait\r\n/m/02qrv1b,Prickly pear\r\n/m/02qrym0,Laver\r\n/m/02qs1jj,Daf 600\r\n/m/02qs1mm,Biluochun\r\n/m/02qs2nm,Daf 55\r\n/m/02q_s6y,Cold saw\r\n/m/02qsb,Earthworm\r\n/m/02qsd5s,Consolidated pt-1 trusty\r\n/m/02qsd8w,Gaura\r\n/m/02qsm9v,Daf 44\r\n/m/02qsn9g,Poker table\r\n/m/02qsnl1,Hsv gts\r\n/m/02qsq_1,Corn on the cob\r\n/m/02qt53h,Bird's-eye\r\n/m/02qt6b5,Kiiking\r\n/m/02qt9g7,Lady tulip\r\n/m/02qtdst,Riveting machines\r\n/m/02qtm7y,Rugby league sevens\r\n/m/02qtnq,Sea otter\r\n/m/02qtr5,Pliers\r\n/m/02qtwyf,El dorado rum\r\n/m/02qv1,Emerald\r\n/m/02q_v22,Xr-400\r\n/m/02_q__,Verbascum\r\n/m/02qvg2t,Natillas\r\n/m/02qvl7,Defenseman\r\n/m/02qvnf,Oxeye daisy\r\n/m/02qvq8v,Hoedeopbap\r\n/m/02qvql,Mower\r\n/m/02qvqsn,Chocolate sandwich\r\n/m/02qvzf,Goaltender\r\n/m/02qwbhf,Oxtail soup\r\n/m/02qwbsq,Tasmanian flax-lily\r\n/m/02qwff,String trimmer\r\n/m/02qwhnb,Cinder cone\r\n/m/02qwkrn,Vehicle brake\r\n/m/02qwpr1,Surf fishing\r\n/m/02qwvtx,Dishcloth\r\n/m/02qwz1t,Philippine passport\r\n/m/02qx4jn,Irishjacks\r\n/m/02qx9rs,Competitive trail riding\r\n/m/02qx_df,Picardy spaniel\r\n/m/02qxf7h,Arkhangelsky ar-2\r\n/m/02qxff,Goaltender mask\r\n/m/02qxj_h,Pignolo\r\n/m/02qxmlr,Sikorsky s-61r\r\n/m/02qxpgc,Kinomichi\r\n/m/02qxqfn,Gaz\n/m/02qxy7b,Strata\r\n/m/02qy33n,Betutu\r\n/m/02qy88h,Festival foods\r\n/m/02qyq41,Paddle ball\r\n/m/02qyt46,Miyagegashi\r\n/m/02qyzmw,A-line\r\n/m/02qz0qk,Salmis\r\n/m/02qz0t,Daydream\r\n/m/02qz0xd,Flowering tea\r\n/m/02qz80,Packaging and labeling\r\n/m/02qzm7n,Blue woodland phlox\r\n/m/02qztwn,Lemon pepper\r\n/m/02qzvx7,Tobaccofish\r\n/m/02qzxk5,Pile bridge\r\n/m/02r03r,Volkswagen transporter t4\r\n/m/02r07f,Snares penguin\r\n/m/02r0hll,Pig's ear\r\n/m/02r0pb8,Matra djet\r\n/m/02r0zt,White-tailed deer\r\n/m/02r1b17,Jazz club\r\n/m/02r1p,Escalator\r\n/m/02r_28h,Factory ship\r\n/m/02r28hn,Murtaya\r\n/m/02r2b4q,Perodua viva\r\n/m/02r2f3m,Kendal mint cake\r\n/m/02r2g4m,Lincolnshire sausage\r\n/m/02r2r4l,Pastel\r\n/m/02r363,Mini marcos\r\n/m/02r3_7_,Promontory\r\n/m/02r3r5q,Boston butt\r\n/m/02r3trx,Pot roast\r\n/m/02r41z_,Eristoff\r\n/m/02r456g,Ballet flat\r\n/m/02r4717,Gift basket\r\n/m/02r4blp,Braque d'auvergne\r\n/m/02r4c8b,Luaz-967\r\n/m/02r_4d6,Tofu skin roll\r\n/m/02r4f56,Basketball official\r\n/m/02r_4gm,Crispy fried chicken\r\n/m/02r4kn7,Boost\r\n/m/02r_4ld,Water chestnut cake\r\n/m/02r4lqp,Pedicel\r\n/m/02r4m1p,Mg q-type\r\n/m/02r4ny,Mitsubishi eclipse\r\n/m/02r4t8,Mitsubishi gto\r\n/m/02r537t,Pill\r\n/m/02r5681,Truffle oil\r\n/m/02r_57f,Scaloppine\r\n/m/02r_57s,Cake decorating\r\n/m/02r5_b,Kale\r\n/m/02r5frg,Romanian passport\r\n/m/02r5gpq,Chrysler\r\n/m/02r5hl8,Bandeau\r\n/m/02r5mg0,Turnip cake\r\n/m/02r5p17,Wild yellow plum\r\n/m/02r5q6,Red fox\r\n/m/02r5zl,Penthouse apartment\r\n/m/02r60,Elevator\r\n/m/02r62_b,Origami paper\r\n/m/02r667l,Makowiec\n/m/02r67k6,Tambur\r\n/m/02r6b4w,Wild crabapple\r\n/m/02r6fj,Saw palmetto\r\n/m/02r6g67,Sweater vest\r\n/m/02r6gjk,Ayam pansuh\r\n/m/02r6h_b,Daihatsu sonica\r\n/m/02r6hhh,Daihatsu esse\r\n/m/02r6j5j,Daihatsu tanto\r\n/m/02r6jrt,Arrosticini\r\n/m/02r6kbc,Daihatsu taft\r\n/m/02r6t4d,Soko j-1 jastreb\r\n/m/02r6tfb,Panelle\r\n/m/02r709k,Bakpia pathok\r\n/m/02r7cgz,Corvette stingray\r\n/m/02r7h1t,Hsv grange\r\n/m/02r7hq3,Carimañola\r\n/m/02r7w3,Grumman x-29\r\n/m/02r7yb9,Freshwater aquarium\r\n/m/02r7_z,Cadillac cimarron\r\n/m/02r80_,Muskrat\r\n/m/02r81rs,Corvair monza gt\r\n/m/02r89k1,Dornier do 26\r\n/m/02r89t,Sabal palmetto\r\n/m/02r8hy1,Glayva\r\n/m/02r8l4l,Giant dog breed\r\n/m/02r8z2j,Thai passport\r\n/m/02r936,Wood rabbit\r\n/m/02r97,Earthquake\r\n/m/02r97r,Pointing breed\r\n/m/02_r9g,Cloudless Sulphur\r\n/m/02r9k37,Chocolate-covered coffee bean\r\n/m/02r9nk7,Single scull\r\n/m/02r9rk,Stampede\r\n/m/02r9z36,Nissan sylphy\r\n/m/02rb1pb,Zuccotto\r\n/m/02rb7lf,Tacamahac\r\n/m/02rbb1j,Mojette beans\r\n/m/02rbkmv,Warehouseman\r\n/m/02rbvf,Vicuña\r\n/m/02rc_77,Chhena\r\n/m/02rcwbb,Cadillac xlr-v\r\n/m/02rcwpb,Malayan cat\r\n/m/02rczg1,Israeli cuisine\r\n/m/02rdcmy,Mercedes-benz 770\r\n/m/02rdhlh,Harbin z-5\r\n/m/02rdmj2,Suman\r\n/m/02rdn9j,Horse trailer\r\n/m/02rdnk2,Baidarka\r\n/m/02rdny4,Slovakian rough-haired pointer\r\n/m/02rdsp,Office supplies\r\n/m/02r_dx,Tortellini\r\n/m/02rfdq,Interior design\r\n/m/02rfj67,Nasi paprik\r\n/m/02rfvqt,Volkswagen delivery\r\n/m/02rfvv7,Western wild ginger\r\n/m/02rfwwy,Rehearsal dinner\r\n/m/02rfz5,Irish soft-coated wheaten terrier\r\n/m/02rg3kh,Seco herrerano\r\n/m/02rgczb,Viennoiserie\r\n/m/02rgd01,Laceflower\r\n/m/02rghvh,Hand model\r\n/m/02rgjnz,Sfiha\r\n/m/02rgjs1,Kousa mahshi\r\n/m/02rgn06,Volleyball\r\n/m/02rgpdk,Amaro averna\r\n/m/02rh9ly,Argentine passport\r\n/m/02r_hb,Synchronized skating\r\n/m/02rhjnx,New zealand passport\r\n/m/02rhk6,Crisp bread\r\n/m/02rhkz,Celestial event\r\n/m/02rhtd6,Bánh bò\r\n/m/02rhx8g,Toyota verossa\r\n/m/02rhy8s,Sex on the beach\r\n/m/02rj02l,Cervelle de canut\r\n/m/02rj0b,Strike\r\n/m/02rj599,Muhammara\r\n/m/02rj632,Mexican passport\r\n/m/02rjc05,Dalmatian\r\n/m/02rjgzp,Crossfit\r\n/m/02rjk4g,Lyonnaise potatoes\r\n/m/02rjv_1,Smooth aster\r\n/m/02rk4tz,Pink lady\r\n/m/02rk570,Soto\r\n/m/02rk6ps,Lupis\r\n/m/02rkbnz,Elderflower cordial\r\n/m/02rkhg,Beef mince\r\n/m/02rkjm,Daphne\r\n/m/02rkzm,Sikorsky h-19\r\n/m/02rl43,Woodsman\r\n/m/02rl7k,Chesapeake blue crab\r\n/m/02rl89,Gatka\r\n/m/02rlkqm,Raft guide\r\n/m/02rlncx,Plastic bottle\r\n/m/02rlq8d,Dodge journey\r\n/m/02rlqlq,Fatányéros\r\n/m/02rlqz1,Abrasive saw\r\n/m/02rlsh6,Soft flag\r\n/m/02rlty,Soft-shell crab\r\n/m/02rlv9,Speedboat\r\n/m/02rlwt,Dizi\r\n/m/02rlx7,Personal lubricant\r\n/m/02rm6_,Bamboo flute\r\n/m/02rm_h,Squash tennis\r\n/m/02rmhs,Raw milk\r\n/m/02rmj4,Submersible\r\n/m/02rmlm,Antifungal medication\r\n/m/02rmnn,Garage sale\r\n/m/02rmzl7,Ching bo leung\r\n/m/02r_mzw,Steamed meatball\r\n/m/02rn0hq,Bánh da lợn\r\n/m/02rn0px,Bánh khoai mì\r\n/m/02rn3g6,Venezuelan passport\r\n/m/02rn77,Baby blue eyes\r\n/m/02rn_83,Dried shredded squid\r\n/m/02rn9n,Hide\r\n/m/02rnfxk,Bánh chuối\r\n/m/02rng1,Patty melt\r\n/m/02rnkw1,Bánh tét\r\n/m/02rnlk1,Ford fairmont\r\n/m/02rp02l,Kia mohave/borrego\r\n/m/02rp02y,Aston martin le mans\r\n/m/02rp16r,Taro dumpling\r\n/m/02rpfyh,Pot rack\r\n/m/02rppjz,Japanese passport\r\n/m/02rppnd,Kasuzuke\r\n/m/02rpr24,Sang som\r\n/m/02rprm,Penciller\r\n/m/02rprz,Inker\r\n/m/02rpxvs,Carolina rose\r\n/m/02rpyq8,White wood aster\r\n/m/02rpy_x,Lola b08/60\r\n/m/02rq4tz,Bede bd-4\r\n/m/02rqk6g,Fein multimaster rs\r\n/m/02rqpfq,Snow Peas\r\n/m/02rqq7v,Guignolet\r\n/m/02rqs9h,Fruit cup\r\n/m/02rqv26,Bicycle handlebar\r\n/m/02rqw_,Obstetric ultrasonography\r\n/m/02rr1pz,Bede bd-10\r\n/m/02rr3c,Renault mégane\r\n/m/02rr3z5,Khuushuur\r\n/m/02rr7b7,Carpenter jeans\r\n/m/02rr9nw,Sikorsky s-61\r\n/m/02rrdhn,Alenia c-27j spartan\r\n/m/02rrf0v,Bánh cuốn\r\n/m/02rrh_f,Brachionus\r\n/m/02rrhyc,Tooheys extra dry\r\n/m/02rrk3x,Tatra 80\r\n/m/02rrpvy,Sporade\r\n/m/02rs1rx,Mercedes-benz vito\r\n/m/02rs44,Speedometer\r\n/m/02rs6h_,Blue wood aster\r\n/m/02rs6qj,Calung\r\n/m/02rs7mr,Norwegian passport\r\n/m/02rs7t9,German passport\r\n/m/02rs8sy,Jig\r\n/m/02rskxl,Corunda\r\n/m/02rsqs1,Pitchersage\r\n/m/02rsrvg,Ford xk falcon\r\n/m/02rsr_z,Ford xl falcon\n/m/02rss9l,Ford xm falcon\r\n/m/02rssf0,Ford xp falcon\r\n/m/02rsslw,Ford xr falcon\r\n/m/02rstpy,Ford xw falcon\r\n/m/02rstw2,Ford xy falcon\n/m/02rsv07,Ford xa falcon\r\n/m/02rsvw1,Polish passport\r\n/m/02rszt,Mother ship\r\n/m/02rt_3v,Atchara\r\n/m/02rt6tf,Ford xb falcon\r\n/m/02rt6yx,Ford xc falcon\r\n/m/02rt86j,Bánh rán\r\n/m/02rt8fd,Bánh\r\n/m/02rtb9x,Old-man's beard\r\n/m/02rtgs_,Loupe\r\n/m/02rty5c,Škoda felicia kit car\r\n/m/02rvbv,Sarod\r\n/m/02rvh67,Peruvian passport\r\n/m/02rw0sn,Dactylorhiza praetermissa\r\n/m/02rwh7t,Spanish passport\r\n/m/02rwj17,Put chai ko\r\n/m/02rwrd3,Schweizer laufhund\r\n/m/02rwt8f,Rampur greyhound\r\n/m/02rwwfw,Kyi-leo\r\n/m/02rwww,Cassoulet\r\n/m/02rwxs4,Debrecener\r\n/m/02rx0db,Tummy time\r\n/m/02rx0zk,Ukrainian passport\r\n/m/02rx2x3,Taro cake\r\n/m/02rx3fn,Ford durango\n/m/02rx74,Lion dance\r\n/m/02rx7j,Dragon dance\r\n/m/02rx8yq,Banded Hairstreak\r\n/m/02rxbck,Jazz guitarist\r\n/m/02rxczs,Kia enterprise\r\n/m/02rxv5z,Seaside plantain\r\n/m/02rxz2k,Bucovina shepherd dog\r\n/m/02ry8yj,Beriev be-4\r\n/m/02ryncw,Ariege pointer\r\n/m/02ryw,Explosive material\r\n/m/02rywgk,Consolidated pt-3\r\n/m/02rz26,Artichoke thistle\r\n/m/02rz3g,Bread roll\r\n/m/02rzd5,Renault trafic\r\n/m/02rzh3,Archivist\r\n/m/02rzq3b,Callophrys\r\n/m/02rzsd7,Morris ten\r\n/m/02rzwg6,De tomaso longchamp\r\n/m/02rzxv6,Hyundai veloster\r\n/m/02s0t7,Mcdonnell douglas x-36\r\n/m/02s0x5,Butterbur\r\n/m/02s195,Vase\r\n/m/02s1tg,Rockwell-mbb x-31\r\n/m/02s231,Wood stork\r\n/m/02s39d,Fish stick\r\n/m/02s3cz,Scampi\r\n/m/02s3y,Equidae\r\n/m/02s4db,Trowel\r\n/m/02s4f2,Cheek kissing\r\n/m/02s4ff,Tonkinese\r\n/m/02s4nd,Ford gt\r\n/m/02s4tj,Drill instructor\r\n/m/02s4v7,Dodge daytona\r\n/m/02s53d,Bmw z8\r\n/m/02s5g7,Cadillac allanté\r\n/m/02s6fs,Pit viper\r\n/m/02s6pr,Mountain gorilla\r\n/m/02s6zr,Diet soda\r\n/m/02s_7p,Stunt double\r\n/m/02s819,Pilaf\r\n/m/02sb4j,Blouse\r\n/m/02sdk9v,Forward\r\n/m/02sf4s,Century egg\r\n/m/02sfgsj,320i\r\n/m/02sgy,Electric guitar\r\n/m/02sgz_,Brush Rabbit\r\n/m/02sjbv,Kaval\r\n/m/02sjdf,Żubrówka\r\n/m/02sjr23,Molson canadian\r\n/m/02_skm,Outhouse\r\n/m/02skpt,Artifact\r\n/m/02slfb,Rice and curry\r\n/m/02slmm,800 metres\r\n/m/02smb6,Sommelier\r\n/m/02smmm,Cherimoya\r\n/m/02_sms,Bougainvillea\r\n/m/02smsd,Free climbing\r\n/m/02sn56,Cordwainer\r\n/m/02s_nm,Sambar\r\n/m/02sp0s,Citroën xm\r\n/m/02sp_1,Eastern prickly pear\r\n/m/02sp32,Escargot\r\n/m/02sp3v,Floor plan\r\n/m/02sp4_,Jamaican food\r\n/m/02sppw,Audi rsq\r\n/m/02sq69,Combination square\r\n/m/02sqjc,Tailed frog\r\n/m/02sqzl,Tailor\r\n/m/02src0,Fire-bellied toad\r\n/m/02ssjz,Hummel\r\n/m/02ssyp,Circuit diagram\r\n/m/02st1b,Pipestem clematis\r\n/m/02stcl,Suikinkutsu\r\n/m/02svcc,Mk indy\r\n/m/02sw6q,Dornier do 18\r\n/m/02sw85,Lamborghini jalpa\r\n/m/02swgd,Dino\r\n/m/02swnt,Dornier do 24\r\n/m/02swrd,Shredder\r\n/m/02swz_,Compact car\r\n/m/02_sx,Floorball\r\n/m/02sy6w,Espadrille\r\n/m/02syjv,Ford versailles\r\n/m/02syk_,Volkswagen apollo\r\n/m/02syvt,Volkswagen pointer\r\n/m/02syy5,Volkswagen gol\r\n/m/02sz2w,Lumpsucker\r\n/m/02sz38,Kick the can\r\n/m/02t0jc,Little blue heron\r\n/m/02t0zs,Evening primrose\r\n/m/02t_1l,Four o'clocks\r\n/m/02t1pr,Arak\r\n/m/02t24_,Long underwear\r\n/m/02t24m,Aubretia\r\n/m/02t2zd,Cobblestone\r\n/m/02t32j,Mercury cougar\r\n/m/02t3hb,Rover 800 series\r\n/m/02t3zr,Honda element\r\n/m/02t568,Keemun\r\n/m/02t57p,Hyson\r\n/m/02t59k,Moisture\r\n/m/02t5wz,Wild pansy\r\n/m/02t69s,World Rally Car\r\n/m/02t6bh,Group A\r\n/m/02t6s3,Acar\r\n/m/02t6t4,Enokitake\r\n/m/02t73g,Taekkyeon\r\n/m/02t89,Euphonium\r\n/m/02tcfg,Beef noodle soup\r\n/m/02tcwp,Trunk\r\n/m/02tdq,Boeing e-3 sentry\r\n/m/02tf4,Northrop grumman e-8 joint stars\r\n/m/02tgr5,Persian buttercup\r\n/m/02th9r,Cumberland sausage\r\n/m/02thgt,Paykan\r\n/m/02thqf,Magiritsa\r\n/m/02tjhq,Boeing c-97 stratofreighter\r\n/m/02tjx,Emotion\r\n/m/02tk7z,Silybum\r\n/m/02tlcn,Soda straw\r\n/m/02tlv4,Hillman minx\r\n/m/02tmmv,Boeing c-32\r\n/m/02tn68,Macaroon\r\n/m/02tnzk,Flat cap\r\n/m/02tp4d,Cross-country equestrianism\r\n/m/02tp5k,Innocence\r\n/m/02tpcg,Blue eyed grass\r\n/m/02tq1j,Asian pear\r\n/m/02tqz3,Spotted hyena\r\n/m/02tsc9,Slow cooker\r\n/m/02tt7k,Bentley continental gt\r\n/m/02tt7y,Ferrari 360\r\n/m/02tvdz,Xanthan gum\r\n/m/02tvmk,Masa\r\n/m/02twvh,Lycaon pictus\r\n/m/02tx1k,Cg artwork\r\n/m/02tx6q,Audio engineer\r\n/m/02txq6,Northern leopard frog\r\n/m/02txyl,Nadaswaram\r\n/m/02ty1n,Shruti box\r\n/m/02ty36,Ghatam\r\n/m/02_ty7,Corn dog\r\n/m/02tytb,Shehnai\r\n/m/02tzkh,Acura mdx\r\n/m/02tzm8,Irish cream\r\n/m/02tznn,Acura el\r\n/m/02tzth,Post-it note\r\n/m/02v0gt,Aston martin db7\r\n/m/02v0hj,Dock\r\n/m/02v0m2,Diagram\r\n/m/02v1pr,Choker\r\n/m/02v1yy,Brass knuckles\r\n/m/02v31w,Boatswain\r\n/m/02v32z,Halligan bar\r\n/m/02v3fx,Ushanka\r\n/m/02v3z_,Rubber ducky\r\n/m/02v_48w,Guatemalan cuisine\r\n/m/02v55x,Gugelhupf\r\n/m/02v5dn,Seat marbella\r\n/m/02v5h7,Toyota avensis\r\n/m/02v_6ql,Early meadow rue\r\n/m/02v7zy,Canadian fir\r\n/m/02v8tn,Korma\r\n/m/02v98n,Douglas dc-2\r\n/m/02v9d_,Douglas dc-5\r\n/m/02v9hz,Belgian shepherd\r\n/m/02v9s1,Khokhol\r\n/m/02v_b3,Oldsmobile 442\r\n/m/02vcqj,Alstroemeriaceae\r\n/m/02vdjb,White rice\r\n/m/02vdp0,Cruller\r\n/m/02vfhv,Citroën xantia\r\n/m/02v_fp,Rangoli\r\n/m/02vgjx,Citroën lna\r\n/m/02vhd1,Maultasche\r\n/m/02vhqz,Japanese saw\r\n/m/02vjn0,Food processing\r\n/m/02vjrc,Groenendael\r\n/m/02vjst,Laekenois\r\n/m/02vjtz,Belgian shepherd malinois\r\n/m/02vjwg,Tervuren\r\n/m/02vjy9,Peugeot 309\r\n/m/02_vjy,Wallet\r\n/m/02vk545,Geastrales\r\n/m/02vk5_q,Cessna a-37 dragonfly\r\n/m/02vk5tw,Golf course\r\n/m/02vk6tn,Gulfstream v\r\n/m/02vk6x,Headstone\r\n/m/02vk771,Laborer\r\n/m/02vk7j7,Holden gemini\r\n/m/02vk7kj,Foil\r\n/m/02vk9pc,Couroupita\r\n/m/02vk9z4,Convair c-131 samaritan\r\n/m/02vkg49,Black laurel\r\n/m/02vkk45,Thong\r\n/m/02vkkk2,Volkswagen crafter\r\n/m/02vkl6v,Boiled beef\r\n/m/02vkl_w,Agaricomycetes\r\n/m/02vklym,Strained yogurt\r\n/m/02vkp0,Six-man football\r\n/m/02vkqh8,Wardrobe\r\n/m/02vkqnx,Longstem marsh violet\r\n/m/02vkskg,Fish slice\r\n/m/02vkxl4,Ground meat\r\n/m/02vkycy,Pempek\r\n/m/02vkzck,Sea cucumber\r\n/m/02vl55p,Bruno jura hound\r\n/m/02vlckk,Electronic cigarette\r\n/m/02vlfdb,Mitsubishi regional jet\r\n/m/02vlx8_,Painkiller\r\n/m/02vm4p,Kamancheh\r\n/m/02vmcgw,Spotted burclover\r\n/m/02vmckm,Hybrid clover\r\n/m/02vmcl9,Zigzag clover\r\n/m/02vmfw8,Beef ball\r\n/m/02vmgqt,Buko pie\r\n/m/02vmgsj,Siu yuk\r\n/m/02vmj2h,Microvan\r\n/m/02vmjrg,Cephalanthera austiniae\r\n/m/02vmk5k,Turkish passport\r\n/m/02vn1ms,Wheatberry\r\n/m/02vn28d,Chicken tatsuta\r\n/m/02vn2s,Bowing\r\n/m/02vncll,Vikingfjord\r\n/m/02vnf5g,Heal-all\r\n/m/02vnfym,Jensen 541\r\n/m/02vng,Earless seal\r\n/m/02vnp3b,Tremellomycetes\r\n/m/02vnr2j,Blue hawaii\r\n/m/02vntz,Greater Siren\r\n/m/02vp3tn,Snow queen vodka\r\n/m/02vp5lq,Kin-ball\r\n/m/02vpjs_,Pumpkin pie spice\r\n/m/02vpwc,Xing yi quan\r\n/m/02vq297,Lancia lc1\r\n/m/02vqc_n,Sport aerobics\r\n/m/02vqfm,Coffee\r\n/m/02vqfsc,Dodge meadowbrook\r\n/m/02vqfwg,Dean razorback\r\n/m/02vqg_k,Seafood birdsnest\r\n/m/02vqjz4,White cut chicken\r\n/m/02vqqym,Sakko\r\n/m/02vqscp,Bicol express\r\n/m/02vqsy7,Espasol\r\n/m/02vqx2p,Salteñas\r\n/m/02vqx7,Tumbleweed\r\n/m/02vr0jq,Pinwheel\r\n/m/02vr5s8,Madia elegans\r\n/m/02vr79f,Fruit preserve\r\n/m/02vr7cv,Kassler\r\n/m/02vrfqg,Thai\r\n/m/02vrg3x,Wallace's flying frog\r\n/m/02vrhp1,Lechona\r\n/m/02vrnxk,Ail storm\r\n/m/02vrzwk,Hypsugo\r\n/m/02vs2hh,Northern yellow bat\r\n/m/02vs4yx,Silver haired Bat\r\n/m/02v_s60,Nissan r90c\r\n/m/02_vs6,Arête\r\n/m/02vskzc,Pine vole\r\n/m/02vslzt,Bushy tailed woodrat\r\n/m/02vsnlc,Marsh Rice Rat\r\n/m/02vsvv6,Warty newt\r\n/m/02vsvvk,Chinese warty newt\r\n/m/02vt3g0,Murabba\r\n/m/02vt43b,Ormosia\r\n/m/02vtpnx,Citroën berlingo électrique\r\n/m/02vvftv,Crudo\r\n/m/02vw0q_,Climbing hold\r\n/m/02vwb2,Harissa\r\n/m/02vwbbb,Tomate frito\r\n/m/02vwbzz,Electric blue\r\n/m/02vwcm,Whisk\r\n/m/02vwfgq,Billardiera scandens\r\n/m/02v_whk,Ford kuga\r\n/m/02vwjm,Chuckwalla\r\n/m/02vwksk,Vitis\r\n/m/02vwvn6,Satsivi\r\n/m/02vx4,Soccer\r\n/m/02vxb3b,Ms island escape\r\n/m/02vxcmg,Canh chua\r\n/m/02vxhzz,Colombian passport\r\n/m/02vxl2d,Verrine\r\n/m/02vxm97,Finnish passport\r\n/m/02vxmgd,Swedish passport\r\n/m/02vxn2b,Baconator\r\n/m/02vxn,Movie\r\n/m/02vxqxj,Cocoa solids\r\n/m/02vxs3q,Smoking\r\n/m/02vxw11,Panoz lmp-1 roadster-s\r\n/m/02vxydb,Panoz lmp07\r\n/m/02vxz3q,Ford thames 400e\r\n/m/02vy_6k,Giri choco\r\n/m/02vyjp8,Soup number five\r\n/m/02vyk1n,Baltimore Checkerspot\r\n/m/02vyr27,Christmas Orchid\r\n/m/02vyz9n,Kannushi\r\n/m/02vz1qd,Cat-ketch\r\n/m/02vz4w,Potato masher\r\n/m/02vzbg8,Italian passport\r\n/m/02vzfvx,Torta ahogada\r\n/m/02vzkxj,Fokker f.25\r\n/m/02vzw5,Granita\r\n/m/02vzwz,Nightwear\r\n/m/02vzx9,Player\r\n/m/02w078f,Aircraft cruiser\r\n/m/02w0815,Drain\r\n/m/02w08,Flavor\r\n/m/02w0kwr,Golden angelfish\r\n/m/02w0rtj,Ki-o-rahi\n/m/02w0s78,Nissan p35\r\n/m/02w0xws,Oak Toad\r\n/m/02w_0z,Theaceae\r\n/m/02w11w8,Tour bus service\r\n/m/02w1488,Pommes dauphine\r\n/m/02w1gjp,Butter dish\r\n/m/02w1kw,Women's lacrosse\r\n/m/02w1mmn,Pine Woods Treefrog\r\n/m/02w1q03,Green-eyed tree frog\r\n/m/02w1sgb,Prince r380\r\n/m/02w1x5q,Nissan r381\r\n/m/02w1xkr,Nissan r382\r\n/m/02w1xp5,Nissan r383\r\n/m/02w1_y,Miniature golf\r\n/m/02w20c,Limbo\r\n/m/02w26x,Bmw z4\r\n/m/02w2hqc,Crab louie\r\n/m/02w3196,Sweet Joe Pye weed\r\n/m/02w31v,Dust jacket\r\n/m/02w3_2,Formal wear\r\n/m/02w37j,Renault 5\r\n/m/02w392,Renault 9 & 11\r\n/m/02w3c7,Butter chicken\r\n/m/02w3fc,Tarpaulin\r\n/m/02w3hl,Award\r\n/m/02w3jzt,Green salamander\r\n/m/02w3ncs,Northern Dusky Salamander\r\n/m/02w3njy,Northern two-lined salamander\r\n/m/02w3nvy,Spring Salamander\r\n/m/02w3qh8,Appalachian Salamander\r\n/m/02w3r3,Paper towel\r\n/m/02w3rx9,Mud Salamander\r\n/m/02w3rx_,Red salamander\r\n/m/02w3ryy,Red salamander\r\n/m/02w3t1,Cotton swab\r\n/m/02w3w,Fiddle\r\n/m/02w3_ws,Personal care\r\n/m/02_w49,Moringa\r\n/m/02w4b3_,Hydraulophone\r\n/m/02w4b,Flugelhorn\r\n/m/02w4k7f,Saab 900 talladega\r\n/m/02w4k8,Destroyer escort\r\n/m/02w4pgw,Aquarium lighting\r\n/m/02w4tl,English muffin\r\n/m/02w4xmv,Land rover series\r\n/m/02w4z0t,Algific talus slope\r\n/m/02w5fsn,Hard dough bread\r\n/m/02w5gwc,Educational toy\r\n/m/02w5lq8,Lesser burdock\r\n/m/02w5ss,Lincoln continental\r\n/m/02w5z2,Lincoln continental mark v\r\n/m/02w622,Greater short-horned lizard\r\n/m/02w653y,Pakistani passport\r\n/m/02w6jk,Sponge cake\r\n/m/02w6vrl,Egyptian passport\r\n/m/02w7_1,Kwik cricket\r\n/m/02w7b0t,Golf equipment\r\n/m/02w7c7,Ragdoll\r\n/m/02w7p0z,Western pussy willow\r\n/m/02w7zn9,Morris major\r\n/m/02w81v,Douglas a-20 havoc\r\n/m/02w__8,Borage\r\n/m/02w8fpy,Amok trey\r\n/m/02w8p8p,Dog walking\r\n/m/02w8qjx,Disperis\r\n/m/02w8vl,Lesothosaurus\r\n/m/02w8zcw,Promethea Silkmoth\r\n/m/02w8zkc,Buick super\r\n/m/02w92r,Cookie cutter\r\n/m/02_w93,Western Tiger Swallowtail\r\n/m/02w98,Falconiformes\r\n/m/02w9jr1,Pontiac can am\r\n/m/02w9mlj,Menemen\r\n/m/02w9n7j,Kueh tutu\r\n/m/02w9q6,Focaccia\r\n/m/02wb3_h,Maroon leaf monkey\r\n/m/02wb5z,Mercedes-benz 300sl\r\n/m/02wbf7,Bedlington terrier\r\n/m/02wbgd8,Kurzweil k250\r\n/m/02wbgd,English cocker spaniel\r\n/m/02wbh5,Bellflower\r\n/m/02wbk0,Caffeinated drink\r\n/m/02wblg6,Ice-cream-bean\n/m/02wbm,Food\r\n/m/02wbn_p,Ground squirrels\r\n/m/02wbrxw,Toyota yaris verso\r\n/m/02wbs43,Organ Mountains Chipmunk\r\n/m/02wbtzl,Sun hat\r\n/m/02w_bwr,Piadina\r\n/m/02wbx0l,Toyota townace\r\n/m/02wc6z,Bell tower\r\n/m/02wcfdg,Mountain Cottontail\r\n/m/02wcn0z,Russian spaniel\r\n/m/02wcnj2,Plebejus\r\n/m/02wcnvd,Boloria\r\n/m/02wcqhb,Brimstones\r\n/m/02wctmd,Salpicon\r\n/m/02wdbm,Coral snake\r\n/m/02wf2z,Ravioli\r\n/m/02wfc4,Fortepiano\r\n/m/02w_fpt,Grattachecca\r\n/m/02wg8,Tackle\r\n/m/02wggl,Highland games\r\n/m/02wg_p,Tree house\r\n/m/02wjh,Fabales\r\n/m/02wlpr,Nightgown\r\n/m/02wlt7,Cottonseed oil\r\n/m/02wlym,Pork rind\r\n/m/02wm5j,Garter snake\r\n/m/02wmf,Flying disc\r\n/m/02wrdv,Nissan altima\r\n/m/02wryl,Fudge\r\n/m/02ws0w,Suzuki\r\n/m/02ws6z,Chandelier\r\n/m/02wsb20,Red wine\r\n/m/02wsb25,White wine\r\n/m/02_wsd,Conifer cone\r\n/m/02wszf,Infielder\r\n/m/02wszfz,Martial artist\r\n/m/02wtjj,Stone carving\r\n/m/02wt_k,California spangled\r\n/m/02wv6b8,Edamame\r\n/m/02wv6fq,Old World oriole\r\n/m/02wv6h6,Skirt\r\n/m/02wv6jp,Ruddy turnstone\r\n/m/02wv6th,Bakery\r\n/m/02wv746,Kitchen stove\r\n/m/02wv84t,Gas stove\r\n/m/02wv869,Short c-23 sherpa\r\n/m/02wv8fd,Rope bridge\r\n/m/02wv8sl,Japanese Camellia\r\n/m/02wvbjh,Proton persona\r\n/m/02wvcj0,Penalty card\r\n/m/02wv_k,Ball valve\r\n/m/02wvljt,Subaru r-2\r\n/m/02wvn_6,Ricciarelli\r\n/m/02wvphq,Belgian passport\r\n/m/02wvpkf,Danish passport\r\n/m/02wvpn5,Swiss passport\r\n/m/02wvqj,Volvo s80\r\n/m/02wvt16,Common Map Turtle\r\n/m/02wvth,\"Fiat 500 \"\"topolino\"\"\"\r\n/m/02wvxp2,Austrian passport\r\n/m/02w_wbz,Lower Keys Marsh Rabbit\r\n/m/02wwg0_,Lantana camara\r\n/m/02wwhtl,Common chameleon\r\n/m/02wwn3,Hillman avenger\r\n/m/02wwt_1,Chilean passport\r\n/m/02wwv13,Cuban passport/\r\n/m/02wwzm8,Okazu\r\n/m/02wx20z,Caisa\r\n/m/02wx54_,Temple fade\r\n/m/02w_xjs,Dead blow hammer\r\n/m/02wxmqm,Nissan gtp zx-turbo\r\n/m/02w_y51,Accelerade\r\n/m/02wy5kb,Snapper\r\n/m/02wydh,Ferrari berlinetta boxer\r\n/m/02wylfb,Banjo guitar\r\n/m/02wylsp,Baglamas\r\n/m/02wyr0,Enzo ferrari\r\n/m/02wyt89,Terrapin\r\n/m/02wytds,Audi le mans quattro\r\n/m/02wz0x0,Vinaigrette\r\n/m/02wz17q,Confit byaldi\r\n/m/02wz3t5,Corzetti\r\n/m/02wz9v2,Mitsuoka viewt\r\n/m/02wzbmj,Standing\r\n/m/02wztxp,Lobini h1\r\n/m/02wzwjl,Nissan npt-90\r\n/m/02x009g,Mazda rx-792p\r\n/m/02x03m,Renault espace\r\n/m/02x0dlv,Prinzregententorte\r\n/m/02x0j7d,Brug\r\n/m/02x0nwz,Pecorino siciliano\r\n/m/02x0sy7,Kalamay\r\n/m/02x0wc8,Puto\r\n/m/02x0x5,Watering can\r\n/m/02x124p,Coenagrion\r\n/m/02x158,Winery\r\n/m/02x15s6,Gammarus\r\n/m/02x1fjt,Formula one tyres\r\n/m/02x1jh,Lockheed hudson\r\n/m/02x1w1h,Pachon navarro\r\n/m/02x224,Burin\r\n/m/02x22_8,Chrysler viper gts-r\r\n/m/02x22rm,Nissan pulsar gti-r\r\n/m/02x2_48,Workbench\r\n/m/02x253r,Fizzy apple cocktail\r\n/m/02x2bfz,Gas detector\r\n/m/02x2bhb,Junkers w 33\r\n/m/02x2kwx,Transylvanian hound\r\n/m/02x2x7h,Marula oil\r\n/m/02x2y2_,Phalangiidae\r\n/m/02x2zq4,Pompadour\r\n/m/02x33l,Mitsubishi galant\r\n/m/02x33x8,Dal makhani\r\n/m/02x3h51,Shower cap\r\n/m/02x3mf5,Subaru sumo\r\n/m/02x451p,Dutch passport\r\n/m/02x48sq,Conference Bike\r\n/m/02x4bdz,Sugoli\r\n/m/02x4gxs,Sheath dress\r\n/m/02x4ss1,Qanbūs\r\n/m/02x544j,Lancia aprilia\r\n/m/02x57cp,Souvla\r\n/m/02x57s,Satellite phone\r\n/m/02x58_l,Mixiote\r\n/m/02x6_0v,European union passports\r\n/m/02_x63,Wrinkle\r\n/m/02x6jdt,Fire troupe\r\n/m/02x_6w,Mobile home\r\n/m/02x6x24,Hanukkah gelt\r\n/m/02x6zkc,Ford fordor\r\n/m/02x70k_,Hickory golf\r\n/m/02x72gv,Cão da serra de aires\r\n/m/02x761n,Baton\r\n/m/02x7hj,Peking opera\r\n/m/02x7j5l,Torball\r\n/m/02x7pff,Pici\r\n/m/02x7rh,Muffler\r\n/m/02x7yw,Glechoma hederacea\r\n/m/02x8cch,Salt and pepper shakers\r\n/m/02x8fbd,Angel’s Tear\r\n/m/02x8n4r,Fertility monitor\r\n/m/02x8n6,Billiard ball\r\n/m/02x8pgp,Florist gayfeather\r\n/m/02x8rd,Playstation portable\r\n/m/02x8tf,Mountain goat\r\n/m/02x8x7z,Red spike\r\n/m/02x91tr,Euphorbia geroldii\r\n/m/02x94h,Trophy\r\n/m/02x984l,Mechanical fan\r\n/m/02x9b8,Nebulizer\r\n/m/02x9dk,Boston terrier\r\n/m/02x9hs,Shooter game\r\n/m/02x9r22,Lightning gt\r\n/m/02x9stt,Seven-ball\r\n/m/02xb7qb,Face powder\r\n/m/02xbg1,Audi 100\r\n/m/02xbjwm,Plymouth concord\r\n/m/02xbk24,Plymouth cambridge\r\n/m/02xbk8p,Plymouth cranbrook\r\n/m/02xbmth,Rescue and salvage ship\r\n/m/02xbsw,Ferrari 575m maranello\r\n/m/02xcbmq,Polystachya\r\n/m/02xcdrf,Bún riêu\r\n/m/02xckt,Northern Alligator Lizard\r\n/m/02xcm6,Indoor american football\r\n/m/02xcpb,Lollipop\r\n/m/02xd35,Audi 80\r\n/m/02xd4b,Audi a3\r\n/m/02xd5t,Audi a2\r\n/m/02xf10,Ramp\r\n/m/02xfyv,Toffee\r\n/m/02xg15,Barquentine\r\n/m/02xgbk,Pandebono\r\n/m/02xgwh,Manjira\r\n/m/02xh1,Film noir\r\n/m/02xh25,Opel omega\r\n/m/02xh2_,Mail carrier\r\n/m/02_xh7,Pipistrelles\r\n/m/02xhgv,Water cooler\r\n/m/02xhgx0,Electrical engineer\r\n/m/02xhmrh,Satin\r\n/m/02xhms,Fan convention\r\n/m/02xhr73,Tennis player\r\n/m/02xhrr,Fiat multipla\r\n/m/02xhs6,Carom billiards\r\n/m/02xht4g,Medical\r\n/m/02xhvf,Three sisters\r\n/m/02xj0b,Hollandaise sauce\r\n/m/02_xkq,Oyster toadfish\r\n/m/02xkrm,Nautilida\r\n/m/02xkvt,Ferrari 456 gt\r\n/m/02xl47d,Dog Breed Group\r\n/m/02xlf,Fiction\r\n/m/02xlqx,Basset fauve de bretagne\r\n/m/02xlz3,Bergamasco shepherd\r\n/m/02xmbk,Connecting rod\r\n/m/02xnnn,Oldsmobile intrigue\r\n/m/02xnpp,Oldsmobile aurora\r\n/m/02xnrt,Dodge spirit\r\n/m/02xnt5,Infiniti j30\r\n/m/02xntj,Pontiac 6000\r\n/m/02xnv_,Chevrolet lumina\r\n/m/02xnxv,Chevrolet celebrity\r\n/m/02xnyj,Nibbler\r\n/m/02xnz8,Collegiate wrestling\r\n/m/02xp9c,Miniature australian shepherd\r\n/m/02xpps,Forget-me-not\r\n/m/02xqgw,Lamborghini gallardo\r\n/m/02xqq,Fax\r\n/m/02xqvt,Morning glory\r\n/m/02xr4v,Radial arm saw\r\n/m/02xr56,Dodge shadow\r\n/m/02xr6,Film crew\r\n/m/02xrl,Fearful\r\n/m/02xsfl,Seed plant\r\n/m/02xsh_,Forb\r\n/m/02xsv6,Feijoada\r\n/m/02xtq,Preserved food\r\n/m/02xw5b,Honda vigor\r\n/m/02xw85,Mercedes-benz w201\r\n/m/02xwb,Fruit\r\n/m/02xx5y,Block party\r\n/m/02xylb,Luau\r\n/m/02xz16,Lockheed model 18 lodestar\r\n/m/02xz2,Formula one\r\n/m/02y06w,Chrysler new yorker\r\n/m/02y11r,Teachers' day\r\n/m/02y17j,Pho\r\n/m/02y1jf,Lingzhi mushroom\r\n/m/02y1kl,Horchata\r\n/m/02y2l_,Sparkler\r\n/m/02y2s_,Oldsmobile alero\r\n/m/02y_3dj,Sad\r\n/m/02y_3gd,Wonders of the world\r\n/m/02y_3h4,Beekeeper\r\n/m/02y3m_,Lockheed ventura\r\n/m/02y3rj,Presentation\r\n/m/02y_4hb,Holden adventra\r\n/m/02y4nt,Chamber pot\r\n/m/02y4zn,Martin b-57 canberra\r\n/m/02y505,Geomungo\r\n/m/02y50w,Tv tuner card\r\n/m/02y_51m,Tidal marsh\r\n/m/02y57x,Xalam\r\n/m/02y5kn,Coach\r\n/m/02y6n,French fries\r\n/m/02y74,Field hockey\r\n/m/02y_763,Sliding door\r\n/m/02y_7f4,Trembita\r\n/m/02y7l1,Orange drink\r\n/m/02y8g,Floppy disk\r\n/m/02y8hf,Arrowroot family\r\n/m/02y8mg,Gazebo\r\n/m/02y_8t6,Indycar series\r\n/m/02y8z,Fencing\r\n/m/02y929,Swing\r\n/m/02y_93f,Surgeon\r\n/m/02y95p,Labrador tea\r\n/m/02y9p5,Chrysler crossfire\r\n/m/02y_b9,Fodder\r\n/m/02ycyl,Surbahar\r\n/m/02yfx,Fluid\r\n/m/02_yg4,Troopship\r\n/m/02y_gnz,Honda civic type r\r\n/m/02yhp1,San Pedro cactus\r\n/m/02yhs7,Dung beetle\r\n/m/02yhx6,Lavash\r\n/m/02yj3w,Beam\r\n/m/02yj53,Natal lily\r\n/m/02yjc,Fighter aircraft\r\n/m/02yjg9,Amc amx\r\n/m/02yj_s,Capelin\r\n/m/02ym4x,Impressionist\r\n/m/02ymt0,Cabbage butterfly\r\n/m/02yn1y,Minstrel\r\n/m/02ynmx,Kame\r\n/m/02yq2x,Reflecting pool\r\n/m/02y_qf,Renault 19\r\n/m/02yrp,Fossil\r\n/m/02ys03,Kapenta\r\n/m/02ys63,Douglas a-26 invader\r\n/m/02ysf_,Litopenaeus setiferus\r\n/m/02yvcd,Audi a8\r\n/m/02yvgb,Zurna\r\n/m/02yvhj,School bus\r\n/m/02yw9h,Dodge dynasty\r\n/m/02ywb6,Dodge lancer\r\n/m/02ywd,Fuel\r\n/m/02ywfg,Bmw 7 series\r\n/m/02ywpp,Bird feeder\r\n/m/02yxhq,Bookend\r\n/m/02yybg,Bayou\r\n/m/02yygy,Ghost ship\r\n/m/02yz14,Fruit cake\r\n/m/02y_z16,Pinikpikan\r\n/m/02z04ty,Sugar paste\r\n/m/02z_05,American bulldog\r\n/m/02z0h9z,Mitsubishi galant fto\r\n/m/02z0kzy,Chasseur\r\n/m/02z0ps,Butterscotch\r\n/m/02z0vcq,Boliche\r\n/m/02z1_1,Milk toast\r\n/m/02z163,Blue sow thistle\r\n/m/02z19zv,Parrot flower\r\n/m/02z1m8,Common Garter Snake\r\n/m/02z1npg,Screw gun\r\n/m/02z1sh,Autocross\r\n/m/02z1vvv,Lilac hibiscus\r\n/m/02z1w6j,Surfer hair\r\n/m/02z1y2z,Duranta\r\n/m/02z1z51,Ori-pei\r\n/m/02z1zzy,Seat 1500\r\n/m/02z2_5h,Darwin's slipper\r\n/m/02z29qp,Great wall haval h3\r\n/m/02z2jdn,Beagador\r\n/m/02z2p5,Boeing b-50 superfortress\r\n/m/02z2qy0,Kishu\r\n/m/02z3j65,Humber hawk\r\n/m/02z3kbb,Argument\r\n/m/02z3njy,Brazilian passport\r\n/m/02z3r,French food\r\n/m/02z3wfm,Harvestman\r\n/m/02z3z0v,Thirteen desserts\r\n/m/02z3zls,Black terrier\r\n/m/02z46,Five-spice powder\r\n/m/02z47m,Nunatak\r\n/m/02z47vr,Folding door\r\n/m/02z4cp8,Potcake dog\r\n/m/02z4g7p,Toyota origin\r\n/m/02z4n82,Wheelchair racing\r\n/m/02z4nyd,Mirto\r\n/m/02z4qt6,Chinese imperial dog\r\n/m/02z51p,Nightstand\r\n/m/02z57c,Cairn terrier\r\n/m/02z58cl,Surveyor's wheel\r\n/m/02z59jq,European buckthorn\r\n/m/02z5h33,Chevrolet aerovette\r\n/m/02z5n14,Toyota vanguard\n/m/02z5_rf,Liver and onions\r\n/m/02z6033,Horse harness\r\n/m/02z61_7,Sheer khurma\r\n/m/02z63rz,Alfa romeo tipo a\r\n/m/02z665,Bricklin sv-1\r\n/m/02z66r9,Yi mein\r\n/m/02z6828,Lai fun\r\n/m/02z699g,Water polo cap\r\n/m/02z6pnk,Pearl Crescent\r\n/m/02z_6v,Russian food\r\n/m/02z6vvt,Seat tribu\r\n/m/02z6xl4,Adufe\r\n/m/02z6z4v,Ipod touch\r\n/m/02z71n6,Hydraulic torque wrench\r\n/m/02z74jj,Galeas\r\n/m/02z7b6x,Bandrek\r\n/m/02z7pw1,Silver buffaloberry\r\n/m/02z7twx,Ankistrodesmus\r\n/m/02z7y5,Heather\r\n/m/02z80b4,Kalguksu\r\n/m/02z81d7,Suzuki splash\r\n/m/02z8359,Sports training\r\n/m/02z87wl,Jackal\r\n/m/02z8jqx,Tabor pipe\r\n/m/02z_8q,Evaporated milk\r\n/m/02z9dy,Granola\r\n/m/02zb48,Dentures\r\n/m/02zb77,Outrigger canoeing\r\n/m/02zblyd,Estonian hound\r\n/m/02zcbn,Freezer\r\n/m/02zck1,Buccellato\r\n/m/02zdhf,Purple salsify\r\n/m/02zf07,Renault kangoo\r\n/m/02zf0n,Eurasian Red Squirrel\r\n/m/02zfvv,American shorthair\r\n/m/02zfwk,Pasqueflower\r\n/m/02zfy2,Bombay\r\n/m/02zg0m,Chartreux\r\n/m/02zg_,Fin\r\n/m/02zh30,Path\r\n/m/02zh3c,Javanese\r\n/m/02zhg3,Theatrical property\r\n/m/02zhn7,Hollyhocks\r\n/m/02zj_j,Panel saw\r\n/m/02zjm7,Adventure racing\r\n/m/02zjq9,Bmw 6 series\r\n/m/02zjrw,Blue-footed booby\r\n/m/02zjx,First-class cricket\r\n/m/02zjz9,Oriental shorthair\r\n/m/02zkbf,Siberian\r\n/m/02zkd7,Singapura\r\n/m/02zkf9,Turkish angora\r\n/m/02zkn_,Log cabin\r\n/m/02zl7n,Avgolemono\r\n/m/02zmnk,Pall-mall\r\n/m/02zn3,Forge\r\n/m/02zn54,Gun barrel\r\n/m/02zn6n,Barrel\r\n/m/02zp04,White mulberry\r\n/m/02zpw0,Siam tulip\r\n/m/02zqjy,Dock landing ship\r\n/m/02zql0,Boeing x-32\r\n/m/02zqt3,Caesar\r\n/m/02zqv4,Bench press\r\n/m/02zr8,Forest\r\n/m/02zrvn,Demolition\r\n/m/02zs4,Ford motor company\r\n/m/02zsn,Female person\r\n/m/02zsp3,Cay\r\n/m/02zt3,Kite\r\n/m/02ztj6,Adapter\r\n/m/02zvp0,Sourwood\r\n/m/02zvsm,Tart\r\n/m/02zw5g,Punxsutawney phil\r\n/m/02zwkp,Shuffleboard\r\n/m/02zw_z,Leberkäse\r\n/m/02zyjc,Audi sportback concept\r\n/m/02zykd,Audi a5\r\n/m/02zywp,Lexus sc\r\n/m/02zz2d,Holden monaro\r\n/m/02zzrc,Cessna 182\r\n/m/02z_zx,Lye roll\r\n/m/0300d,Fare\r\n/m/03011x,Leash\r\n/m/0301kz,Common Tansy\r\n/m/0301w4,Wormwood\r\n/m/03_03q,Bowl cut\r\n/m/03_04d,Pesäpallo\r\n/m/03_055,Cornrows\r\n/m/0305b,First aid\r\n/m/0305vf,B-boy\r\n/m/030610,Treadmill\r\n/m/0306r,Fox\r\n/m/0307l,Felidae\r\n/m/03084w,Breadstick\r\n/m/03086h,Powdered milk\r\n/m/0308gy,Stock\r\n/m/0308t8,Bedrock\r\n/m/03097t,Kalakukko\r\n/m/030b_2,Dodge challenger\r\n/m/030b6n,Mercury mystique\r\n/m/030bmc,Jaguar xj\r\n/m/030brp,Viper\r\n/m/030c3d,Magnifying glass\r\n/m/030cj,Foster's lager\r\n/m/030csg,Hellenistic-era warships\r\n/m/030czg,Jet bridge\r\n/m/030d0z,Buick special\r\n/m/030dhx,Toyota mr2\r\n/m/030g3c,Conflict\r\n/m/030gty,Ferrari 612 scaglietti\r\n/m/030jx3,Square\r\n/m/030l0j,Bleach\r\n/m/030l1g,Redwood sorrel\r\n/m/030l7r,Sound stage\r\n/m/030mv8,Chia\r\n/m/030nbg,Swamp Rabbit\r\n/m/030pm0,Legislator\r\n/m/030qmx,Audi a4\r\n/m/030qtd,Ford bantam\r\n/m/030qwx,Ford ikon\r\n/m/030qz2,Ford corcel\r\n/m/030r19,Renault 7\r\n/m/030r24,Renault 12\r\n/m/030r3p,Renault laguna\r\n/m/030rrs,Gudeg\r\n/m/030ry_,Disciple\r\n/m/030sld,Homarus\r\n/m/030ssw,Homarus gammarus\r\n/m/030swj,Mobile device\r\n/m/030t7r,Chipped beef\r\n/m/030vk5,Lava tube\r\n/m/030vv4,Tuberose\r\n/m/030wp2,Studebaker gran turismo hawk\r\n/m/030wxc,Nordic walking\r\n/m/03_0x5,Grasshopper\r\n/m/030x5s,Quadrathlon\r\n/m/030z7g,Studebaker golden hawk\r\n/m/030zb_,Ferrari f50\r\n/m/030zdz,Slipcover\r\n/m/030zfn,Parallel\r\n/m/030zjl,Throw pillow\r\n/m/030zlf,Colorfulness\r\n/m/030zsj,Pastrami\r\n/m/03100n,Studebaker silver hawk\r\n/m/031073,Self heal\r\n/m/03120,Flag\r\n/m/03131m,Injection\r\n/m/03138g,Knife throwing\r\n/m/0313cw,Spur\r\n/m/0314n,Full moon\r\n/m/0314qb,Cucumber sandwich\r\n/m/0314xn,Packard hawk\r\n/m/0314yr,Recruiter\r\n/m/03154,Fungus\r\n/m/0315zf,Skee ball\r\n/m/03162t,Indian filter coffee\r\n/m/03_163,Barbell\r\n/m/0316bq,Shortening\r\n/m/0316dw,Typing\r\n/m/0316w4,Studebaker avanti\r\n/m/0317qd,Short track motor racing\r\n/m/0317s,Flag of the united states\r\n/m/03182j,Honda s2000\r\n/m/03191j,Women's basketball\r\n/m/031974,Waist\r\n/m/0319l,Horn\r\n/m/031b6r,Window blind\r\n/m/031bff,Window covering\r\n/m/031bw5,Town crier\r\n/m/031cl3,Fourth generation honda integra\r\n/m/031dt,Frigate\r\n/m/031gnc,Acura rl\r\n/m/031hrg,Lecture\r\n/m/031j7l,Red stripe\r\n/m/031jkp,Pony car\r\n/m/031_kr,Cadillac v-16\r\n/m/031ldr,North american f-82 twin mustang\r\n/m/031m7x,Yaldā\r\n/m/031m_l,Drawbridge\r\n/m/031n1,Foot\r\n/m/031n9j,Marble\r\n/m/031nk,Fallout shelter\r\n/m/031phy,Ribwort\r\n/m/031pqh,Peruvian hairless dog\r\n/m/031pr7,Analog watch\r\n/m/031qnt,Indoor cycling\r\n/m/031r7_,Dollhouse\r\n/m/031rmd,Pernod fils\r\n/m/031s6d,Scale insect\r\n/m/031_tp,Litter box\r\n/m/031vtq,Trunk\r\n/m/03_1y2,Rugby league nines\r\n/m/03218s,Dock\r\n/m/0321b4,Bane\r\n/m/0321td,Grand tourer\r\n/m/0321z4,Makki di roti\r\n/m/0322v8,Lugger\r\n/m/03233l,Seminar\r\n/m/0323sq,Golf cart\r\n/m/03259h,Honda nsx\r\n/m/0326g,Flamenco\r\n/m/0326md,Cat litter\r\n/m/03_27x,Chausie\r\n/m/032828,Lucozade\r\n/m/0329xf,Toboggan\r\n/m/0329yh,Basketball court\r\n/m/032b2l,Peugeot 104\r\n/m/032b3c,Jacket\r\n/m/032b7p,Renault 4\r\n/m/032b9y,Rillettes\r\n/m/032c8w,Atlantic bluefin tuna\r\n/m/032dp7,Lexus gs\r\n/m/032dz0,Pedometer\r\n/m/032fdw,Passion flower family\r\n/m/03_2f,Igneous rock\r\n/m/032ghl,House fly\r\n/m/032hkx,Mustamakkara\r\n/m/032j43,Blanquette de veau\r\n/m/032km,Folk dance\r\n/m/032kwm,Angklung\r\n/m/032kxd,Austin-healey 3000\r\n/m/032l42,Saab automobile\r\n/m/032lgr,Chinese cabbage\r\n/m/032lrz,Baba ghanoush\r\n/m/032ltr,Riding boot\r\n/m/032myv,Horse flies\r\n/m/032n4d,Canada dry\r\n/m/032n4w,Pontiac fiero\r\n/m/032nb1,Sprint car racing\r\n/m/032ng3,Morinda citrifolia\r\n/m/032p4t,Fuse\r\n/m/03_2p8,Olallieberry\r\n/m/032r36,Ford del rey\r\n/m/032r3x,Ford verona\r\n/m/032r47,Chevrolet cavalier\r\n/m/032rk,Gun\r\n/m/032rtm,High and tight\r\n/m/032rvc,Diet rite\r\n/m/032s66,Gunshot\r\n/m/032swc,Chrysler royal\r\n/m/032t45,Épée\r\n/m/032th_,One-piece swimsuit\r\n/m/032tl,Fashion\r\n/m/032wfk,Road racing\r\n/m/032wr,Fantastic four\r\n/m/032x3v,Volkswagen sharan\r\n/m/032xlb,Irish terrier\r\n/m/032xnp,Welsh terrier\r\n/m/032xpl,Chambered nautilus\r\n/m/032xq9,Sealyham terrier\r\n/m/032xv1,Lakeland terrier\r\n/m/032zf7,Husk\r\n/m/0330cx,Annona\r\n/m/0332ym,Cempedak\r\n/m/033354,Suling\r\n/m/0335gd,Ginger beer\r\n/m/0335j,Freeway\r\n/m/0335ws,Concert dance\r\n/m/03361r,Oily fish\r\n/m/0336h,Finch\r\n/m/0336tf,Broomball\r\n/m/03376x,Almond milk\r\n/m/0337b,Mcdonnell douglas f-15 eagle\r\n/m/0337v,Grumman f-14 tomcat\r\n/m/0338b,Lockheed f-117 nighthawk\r\n/m/0338t,Vought f4u corsair\r\n/m/0339_l,Foundation\r\n/m/033bk,Fuel cell\r\n/m/033cnk,Egg\r\n/m/033cv_,Rover 200 / 25\r\n/m/033cyg,Volvo xc60\r\n/m/033drk,Meat grinder\r\n/m/033_fk,Thanos\r\n/m/033h9,Fast combat support ship\r\n/m/033hdv,Toothpick\r\n/m/033hkb,Nissan violet\r\n/m/033hlf,Nissan 240sx\r\n/m/033hm4,Mitsubishi diamante\r\n/m/033hvs,Chrysler 300\r\n/m/033j1,Mcdonnell douglas f-4 phantom ii\r\n/m/033j3c,Lane\r\n/m/033jk,Mcdonnell fh phantom\r\n/m/033jq2,Lei\r\n/m/033jqt,Trumpeter swan\r\n/m/033k26,Carolina jasmine\r\n/m/03_3kb,Drive shaft\r\n/m/033kf,Frost\r\n/m/033_ln,Suspenders\r\n/m/033lpr,Audience\r\n/m/033n1h,Safe\r\n/m/033_n5,Gamora\r\n/m/033n8l,Globe thistle\r\n/m/033nb2,Profiterole\r\n/m/033nld,De havilland venom\r\n/m/033q04,Chokeberry\r\n/m/033q32,Pontiac tempest\r\n/m/033qq4,Peugeot 306\r\n/m/033qwb,Urinal\r\n/m/033qx,Fur seal\r\n/m/033rdq,Custard pie\r\n/m/033rlw,Lotus elan\r\n/m/033rq4,Street light\r\n/m/033rv2,Carton\r\n/m/033s60,Endurance racing (motorsport)\r\n/m/033t__,Saimin food\r\n/m/033w_3,Limeade\r\n/m/033wqk,Acura cl\r\n/m/033x8g,Mercedes-benz glk-class\r\n/m/033xk7,Saag\r\n/m/033xwr,Moussaka\r\n/m/033yz,Lockheed martin f-35 lightning ii\r\n/m/033zf,General dynamics f-16 fighting falcon\r\n/m/033zy,Food additive\r\n/m/03417,Ford gt40\r\n/m/0341q3,Infiniti g\r\n/m/0341wr,Alpine dachsbracke\r\n/m/0341xh,Antonov an-2\r\n/m/03425f,Boat tailed Grackle\r\n/m/0342h,Guitar\r\n/m/0342jq,Chevrolet el camino\r\n/m/03438g,Snout moths\r\n/m/0345qz,Jallikattu\r\n/m/03469q,Aerostat\r\n/m/0346tk,Squeegee\r\n/m/0347py,Dulce de leche\r\n/m/0348dx,Artocarpus\r\n/m/0348jf,Citroën axel\r\n/m/0348k6,Citroën dyane\r\n/m/0348ts,Leyland p76\r\n/m/034c05,Holden torana\r\n/m/034c16,Pillow\r\n/m/034cf8,Volvo c30\r\n/m/034dj,Gambling\r\n/m/034_gn,Press up\r\n/m/034hjy,Fondue\r\n/m/034hkd,Volkswagen fox\r\n/m/034hl4,Volkswagen citi golf\r\n/m/034n3h,Ricotta\r\n/m/034nl1,Buttercup\r\n/m/034n_v,Rapini\r\n/m/034nyx,Stitchwort\r\n/m/034p_k,Loganberry\r\n/m/034q68,Ultron\r\n/m/034q8f,Opel ascona\r\n/m/034qfl,Holden camira\r\n/m/034qgf,Black widow\r\n/m/034qg,Firearm\r\n/m/034qz5,Dame’s rocket\r\n/m/034rtp,Speckled wood (butterfly\r\n/m/034shk,Volkswagen k70\r\n/m/034srq,Wind wave\r\n/m/034v6m,Gardenia\r\n/m/034v_,Gardening\r\n/m/034vhx,Panoz esperante\r\n/m/034vln,Oldsmobile cutlass supreme\r\n/m/034wh,Graffiti\r\n/m/034wxv,Peugeot 505\r\n/m/034xfs,Sarong\r\n/m/034xzm,Risotto\r\n/m/034yds,Funnel cake\r\n/m/034z7h,Cityscape\r\n/m/0351c9,Lemon & paeroa\r\n/m/0352wl,Green sauce\r\n/m/0353h4,Border terrier\r\n/m/0353pz,Clayface\r\n/m/0353qr,Dandie dinmont terrier\r\n/m/0353wm,English toy terrier\r\n/m/035405,Finnish spitz\r\n/m/0354by,Grand basset griffon vendéen\r\n/m/0354_j,Spezi\r\n/m/0355cw,Ridge\r\n/m/0355ff,Greenland dog\r\n/m/0355zp,Phallales\r\n/m/035762,Sitka spruce\r\n/m/0357y_,Fried dough\r\n/m/0358l1,Snakebite\r\n/m/0358nz,Burgundy wine\r\n/m/0359px,Monstera deliciosa\r\n/m/035bfz,Wild rice\r\n/m/035bn5,Jensen motors\r\n/m/035d1m,Canoe slalom\r\n/m/035f3k,Eggnog\r\n/m/035f_j,Off-road vehicle\r\n/m/035h15,Buick century\r\n/m/035hb6,Starscream\r\n/m/035j03,Pastry chef\r\n/m/035j27,Chute\r\n/m/035lp0,Nite owl\r\n/m/035lpq,Buick regal\r\n/m/035lqv,Ozymandias\r\n/m/035m2c,Dead bolt\r\n/m/035nm,General motors\r\n/m/035_pk,Jockstrap\r\n/m/035pzp,Jensen ff\r\n/m/035qhg,Fauna\r\n/m/035r7c,Leg\r\n/m/035snv,Xanthosoma\r\n/m/03_5sv,Laboratory equipment\r\n/m/03_5t7,Pilot boat\r\n/m/035vxb,Isopod\r\n/m/035w0_,Perro de presa canario\r\n/m/035ws0,Rack of lamb\r\n/m/035x1l,Nata de coco\r\n/m/035xn5,Toy fox terrier\r\n/m/035xq8,Tenterfield terrier\r\n/m/035y33,Official\r\n/m/035y9b,Consommé\r\n/m/035z8l,Plymouth barracuda\r\n/m/035zfn,Plymouth duster\r\n/m/035zq3,Studio\r\n/m/03603h,Clam chowder\r\n/m/03606n,Sapsali\r\n/m/0361zx,Miniature fox terrier\r\n/m/0362v5,Chopper\r\n/m/0363rs,Toy manchester terrier\r\n/m/0364jn,Café au lait\r\n/m/0367kw,Chrysler fifth avenue\r\n/m/0369bv,Snow blower\r\n/m/0369ss,City car\r\n/m/03_69w,Tankini\r\n/m/036bks,Gingerbread\r\n/m/036d30,Bathing\r\n/m/036h9r,Mazda millenia\r\n/m/036hds,Mazda rx-2\r\n/m/036hjf,Mazda 929\r\n/m/036hkj,Mazda carol\r\n/m/036hlm,Boeing p-8 poseidon\r\n/m/036hp1,Ursaab\r\n/m/036hv,Geology\r\n/m/036hyn,Toy dog\r\n/m/036j6j,Mazda mpv\r\n/m/036j7p,Mazda r360\r\n/m/036j9s,Mazda r100\r\n/m/036jb3,Mazda capella\r\n/m/036jbj,Mazda rx-3\r\n/m/036jby,Mazda rx-4\r\n/m/036jvk,Stock photography\r\n/m/036k5h,Grey\r\n/m/036knn,Sprinkles\r\n/m/036ljr,Windflower\r\n/m/036m28,Mazda mx-6\r\n/m/036n1,Geologist\r\n/m/036n5h,Confetti\r\n/m/036nz,Government\r\n/m/036p57,Perennial plant\r\n/m/036q70,Tartiflette\r\n/m/036qfh,Mercury tracer\r\n/m/036qh8,Produce\r\n/m/036tkz,Liuqin\r\n/m/036tl_,Yangqin\r\n/m/036tyz,Zill\r\n/m/036vfg,Mazda familia\r\n/m/036vg6,Wrestling\r\n/m/036w4y,Flake\r\n/m/036xn3,Cellular network\r\n/m/036zbt,Effects cymbal\r\n/m/03706p,Mercedes-benz g-class\r\n/m/03715w,Wood sorrel\r\n/m/03717j,Proton tiara\r\n/m/0371pr,Toyota corolla\r\n/m/0371q5,Toyota camry\r\n/m/0372tf,Mazda 121\r\n/m/0372vm,Fiat palio\r\n/m/0372w1,Fiat siena\r\n/m/0372wh,Fiat duna\r\n/m/0373hf,Chokecherry\r\n/m/03744s,Creeping wood sorrel\r\n/m/0376ws,Everlasting sweet pea\r\n/m/0377zj,Enlarger\r\n/m/037821,Fiat tempra\r\n/m/037blm,Spitz\r\n/m/037cyw,Siding\r\n/m/037dv0,Nsu ro 80\r\n/m/037hz,Golf\r\n/m/037jtq,Greater swiss mountain dog\r\n/m/037l4x,Ford torino talladega\r\n/m/037l9,Gladiator\r\n/m/037lls,Red curry\r\n/m/037ls6,Coconut milk\r\n/m/037n0d,Northrop grumman e-10 mc2a\r\n/m/037n8g,Cavaquinho\r\n/m/037n8x,Touring car\r\n/m/037n9q,Komuz\r\n/m/037nx6,Street sweeper\r\n/m/037p5b,Cheek\r\n/m/037p63,Tandoori chicken\r\n/m/037ptr,Visor\r\n/m/037q6r,Dodge charger daytona\r\n/m/037rpk,Hole punch\r\n/m/037rw,Gazpacho\r\n/m/037rzs,Headquarters\r\n/m/037s3z,Fête de la musique\r\n/m/037slq,Wireworms\r\n/m/037tgn,Béchamel sauce\r\n/m/037tzr,Agave azul\r\n/m/037_v,Grizzly bear\r\n/m/037vk,Graphite\r\n/m/037vn2,Lemon beebrush\r\n/m/037vqc,Bouquet garni\r\n/m/037_vr,Microcassette\r\n/m/037vsg,Prosciutto\r\n/m/037w1w,Mustard oil\r\n/m/037wcy,Safflower\r\n/m/03_7wn,Pointer\r\n/m/037xc2,Beagling\r\n/m/037xy,Gas\r\n/m/037ynh,Bmw 8 series\r\n/m/037zsb,Tan\r\n/m/0381b9,Dodge dart\r\n/m/038264,Metaxa\r\n/m/03829r,Furikake\r\n/m/0382r_,Porsche 804\r\n/m/0385_b,Mercedes-benz sl-class\r\n/m/0385k,Gymnast\r\n/m/0385kn,Nissan primera\r\n/m/0385np,Opel calibra\r\n/m/0385ph,Fiat punto\r\n/m/0385vl,Alfa romeo 147\r\n/m/03861l,Fiat cinquecento\r\n/m/038666,Peugeot 307\r\n/m/0386c_,Dance pad\r\n/m/0386ld,Cooling tower\r\n/m/0386pw,Fiat bravo/brava\r\n/m/0386r1,Peugeot 206\r\n/m/03877,Game boy advance\r\n/m/03878x,Autobianchi y10\r\n/m/0387vs,Peugeot 407\r\n/m/038_80,Citroën xsara\r\n/m/0388_c,Japanese terrier\r\n/m/0388q,Grape\r\n/m/0388sn,Summit\r\n/m/038cyj,Colby cheese\r\n/m/038d28,Boerewors\r\n/m/038fws,Fiat dino\r\n/m/038g82,Giblets\r\n/m/038h7b,Rice wine\r\n/m/038hg,Green\r\n/m/038jz,Glacier\r\n/m/038_l,Ghost\r\n/m/038lvy,Apéritif\r\n/m/038pb7,Tube top\r\n/m/038qkl,Kopi luwak\r\n/m/038rd0,Exchange of vows\r\n/m/03_8r,Judo\r\n/m/038rz,German food\r\n/m/038s0_,Water filter\r\n/m/038sf,Greek food\r\n/m/038t8_,Estate\r\n/m/038tjy,Plymouth gin\r\n/m/038wt3,French bulldog\r\n/m/038wvd,Toy bulldog\r\n/m/0391hg,Supercarrier\r\n/m/03928,Geocaching\r\n/m/03931h,Stele\r\n/m/0393qn,Phalène\r\n/m/0393sl,Đàn bầu\r\n/m/0394s2,Kai-lan\r\n/m/0395lw,Bell\r\n/m/0395mr,Chevrolet omega\r\n/m/0396p,Gorilla\r\n/m/0397w,Gymnastics\r\n/m/03987v,Lexus is\r\n/m/039b5,Galaxy\r\n/m/039blp,Baked potato\r\n/m/039c4j,Chaps\r\n/m/039cny,North american t-6 texan\r\n/m/039cp,Grappling\r\n/m/039dsh,Lancia stratos\r\n/m/039g95,Polling place\r\n/m/039_hs,Royal yacht\r\n/m/039hvj,Nut\r\n/m/039j0x,Jigging\r\n/m/039_j3,Manor house\r\n/m/039j4m,Fishing lure\r\n/m/039jbq,Urban area\r\n/m/039jl6,Spoon lure\r\n/m/039jpz,Casserole\r\n/m/039jq,Glass\r\n/m/039jxp,Colander\r\n/m/039l3v,Auditorium\r\n/m/039m_z,Portable toilet\r\n/m/039ndd,Setter\r\n/m/03_9ng,Lighter\r\n/m/039nn_,Water dog\r\n/m/039nvr,Gunsmith\r\n/m/039ny7,Gemcutter\r\n/m/03_9pk,Dragon's mouth orchid\r\n/m/039_px,Bolete\r\n/m/039r5c,Cheesemaking\r\n/m/039r61,Coppersmith\r\n/m/039r6,General aviation\r\n/m/039r_,Gliding\r\n/m/039rn7,Meat carving\r\n/m/039rzl,Irish setter\r\n/m/039s48,Irish red and white setter\r\n/m/039t96,Tea plant\r\n/m/039v1,Guitarist\r\n/m/039v41,Bouillabaisse\r\n/m/039w4l,Simca-talbot horizon\r\n/m/039w5w,Pocket watch\r\n/m/039x97,Buckle\r\n/m/039xj_,Ear\r\n/m/039xkh,Sporting clays\r\n/m/039_xx,Whole-wheat flour\r\n/m/039zd9,Shōji\r\n/m/03b0sm,Fishing trawler\r\n/m/03b_2mq,Alvis te 21\r\n/m/03b2w5,Toyota starlet\r\n/m/03b34z,Twenty20\r\n/m/03b3mn,Trainer\r\n/m/03b3nf,Horse trainer\r\n/m/03b4_0,Crimson columbine\r\n/m/03b44g,Tee\r\n/m/03b4jt,Skirret\r\n/m/03b5lj,Kennel club\r\n/m/03b61y,Game\r\n/m/03b62b,Bichon\r\n/m/03b6_4,Steering wheel\r\n/m/03b6hk,Catalan sheepdog\r\n/m/03b6lj,Crumpet\r\n/m/03b6pr,Mailbox\r\n/m/03b848,Harvest\r\n/m/03b8_5,Brittany\r\n/m/03b9jw,Solar dish\r\n/m/03bbps,Power plugs and sockets\r\n/m/03bd22,Corn salad\r\n/m/03bdrd,Fisheye lens\r\n/m/03bgj7,Sport climbing\r\n/m/03bj1,Panda\r\n/m/03bk1,Giraffe\r\n/m/03bkq8,Bakewell tart\r\n/m/03blhc,Lockheed d-21\r\n/m/03bm6,Gardener\r\n/m/03bmk6,Sanshin\r\n/m/03bmqb,Flora\r\n/m/03bmz,Grits\r\n/m/03bn42,Mexican mint\r\n/m/03bqt1,Skerry\r\n/m/03bs3p,Sanshou\r\n/m/03b_sk,Bird bath\r\n/m/03bt1gh,Games\r\n/m/03bt1vf,Woman\r\n/m/03bt6h,Hamiltonstövare\r\n/m/03b_vg,Ayran\r\n/m/03_bvw,Antonov an-3\r\n/m/03bw_6d,Tom cat\r\n/m/03bwq,Gas mask\r\n/m/03bwyww,Iaijutsu\r\n/m/03bwyyr,Fast food restaurant\r\n/m/03bwz1j,Shell\r\n/m/03bx017,Researcher\r\n/m/03bx07d,Longboarding\r\n/m/03bx1ft,Bird nest\r\n/m/03bx2rr,Donskoy\r\n/m/03bx2w_,Toyota sprinter\r\n/m/03bx2yv,Ac adapter\r\n/m/03bx3wh,Corn on the cob\r\n/m/03bx4xn,Audi s8\r\n/m/03bx51v,Wolseley 4/44\r\n/m/03bx7lx,High endurance cutter\r\n/m/03bx7vb,Ox\r\n/m/03bx8sb,Hitman\r\n/m/03bx9vm,Pencak silat\r\n/m/03bxg5w,Hierochloe\r\n/m/03bxg9d,Mercedes-benz 190sl\r\n/m/03bxgn4,Sports prototype\r\n/m/03bxgrp,Company\r\n/m/03bxkjx,Landing ship medium\r\n/m/03bxmmb,Vaz-2101\r\n/m/03bxmx5,Chrysler centura\r\n/m/03bxns,Independence day\r\n/m/03bxpd_,Jaguar xkss\r\n/m/03bxpdm,Longaniza\r\n/m/03bxq1r,Patio heater\r\n/m/03bxt6z,Runway\r\n/m/03bxtps,Pepper steak\r\n/m/03bx_vh,Doctorfish\r\n/m/03bxydg,Optical fiber cable\r\n/m/03by0vs,Hair tie\r\n/m/03by_65,Joe pye weed\r\n/m/03bycmd,Jokbal\r\n/m/03bygbf,Ceramic tile cutter\r\n/m/03byjq2,Polivoks\r\n/m/03byk3j,Suzuki kizashi\r\n/m/03byxzx,Lamborghini reventón\r\n/m/03byy2b,Monkey bread\r\n/m/03byz3c,Harlequin cabbage bug\r\n/m/03bz8t5,Kia pro cee'd\n/m/03bzh0q,Soy yogurt\r\n/m/03bzh11,Brock coupe\r\n/m/03bzndd,Tesla bluestar\r\n/m/03bznhh,Toyota iq\r\n/m/03bzp0,Cone\r\n/m/03bzyjq,Grillades\r\n/m/03c01z,Cadillac cts\r\n/m/03c073t,Hotteok\r\n/m/03c0bxg,Limb\r\n/m/03c0dzw,Batting glove\r\n/m/03c0tgr,Bayonne ham\r\n/m/03c1_30,Fiery Skipper\r\n/m/03c14tl,Ezogelin soup\r\n/m/03c1dkx,Therapy\r\n/m/03c1h0n,Kesong puti\r\n/m/03c1zh2,Eyelash curler\r\n/m/03c208w,Sulimov dog\r\n/m/03c248h,Water chiller\r\n/m/03c2qfl,Mabey logistic support bridge\r\n/m/03c2tct,Chinese hawthorn\r\n/m/03c2yx_,Snow bridge\r\n/m/03c31,Graphic design\r\n/m/03c3jn1,Sope\r\n/m/03c3m8k,Ford xy falcon gt\r\n/m/03c3nw,Piton\r\n/m/03c3t7,Dutar\r\n/m/03c405p,California wild rose\r\n/m/03c481g,De tomaso deauville\r\n/m/03c4g26,Slender willow\r\n/m/03c4j,Gemstone\r\n/m/03c4qtp,Coral honeysuckle\r\n/m/03c4vh,Cordless telephone\r\n/m/03c4ykj,Ornate box turtle\r\n/m/03c51t7,Welsh sheepdog\r\n/m/03c52m,Aguas frescas\r\n/m/03c57jp,Fourball\r\n/m/03c59l,Christmas stocking\r\n/m/03c5g7m,Pink evening primrose\r\n/m/03c5_gn,5-hour energy\r\n/m/03c5wm,Cargo ship\r\n/m/03c5zc5,Nymphalis xanthomelas\r\n/m/03c672z,Dum pukht\r\n/m/03c6dyk,Diamond\r\n/m/03c6fxw,Pseudemys concinna concinna\r\n/m/03c6gkh,Oenothera elata\r\n/m/03c_6l,Mint\r\n/m/03c798,International rules football\r\n/m/03c79,Gate\r\n/m/03c79qr,Vincotto\r\n/m/03c7gz,Door handle\r\n/m/03c7nnv,Baltic clam\r\n/m/03c7p2y,Aam papad\r\n/m/03c7qqd,Sel roti\r\n/m/03c7y7,Ford classic\r\n/m/03c866,Grandparent\r\n/m/03c895b,Scotch collie\r\n/m/03c8fmk,Jeotgal\r\n/m/03c8hcz,Besan barfi\r\n/m/03c8hf8,Mirchi bada\r\n/m/03c8llj,Gulkand\r\n/m/03c8phm,Corporate headquarters\r\n/m/03c8xgv,Shankarpali\r\n/m/03c8xt9,Lontong\r\n/m/03c9gv3,Chocolate Daisy\r\n/m/03cb2tr,Hyderabadi haleem\r\n/m/03cb47t,Toyota sports 800\r\n/m/03cbl9_,Thai curry\r\n/m/03cc558,Juicebox\r\n/m/03cc8dv,Ris de veau\r\n/m/03ccc_s,Tataki\r\n/m/03ccnqh,Mett\r\n/m/03ccp03,Carciofi alla giudia\r\n/m/03ccsf,Renault alliance\r\n/m/03ccylj,False morel\r\n/m/03cd1cx,Bánh đúc\r\n/m/03cd3l,Saab 9-2x\r\n/m/03cdd2,Talbot tagora\r\n/m/03cdg67,Hymenocallis speciosa\r\n/m/03cdp0j,Kyūjutsu\n/m/03cdsl,Ford pampa\r\n/m/03cf6xn,Saffron rice\r\n/m/03cf8bq,Collier\r\n/m/03cfcjn,Babi panggang\r\n/m/03cfcnf,Cable management\r\n/m/03cfl0q,Honda cr-z\r\n/m/03cg49,Christmas lights\r\n/m/03cghd9,Dwarf day lily\r\n/m/03cg_q,Calzone\r\n/m/03chb_g,Daihatsu opti\r\n/m/03chcgl,Daihatsu leeza\r\n/m/03chpwm,Cezerye\r\n/m/03chq8y,Ikayaki\r\n/m/03chwjy,Slingback\r\n/m/03cj9_9,Croxetti\r\n/m/03_cjc,Rue\r\n/m/03cjnw5,Pastina\r\n/m/03cjpfk,Chili oil\r\n/m/03cjrt,Highland\r\n/m/03ck38,Zwiebelkuchen\r\n/m/03ck3yt,Jensen s-v8\r\n/m/03ckbpg,Subaru exiga\r\n/m/03ckk9k,Ford fiesta rs turbo\r\n/m/03c_kl,Snowshoe\r\n/m/03ckqfb,Maserati racing\r\n/m/03ckv4m,Gianchetti\n/m/03ckzxm,Coconut bar\r\n/m/03cl000,Sundae\n/m/03cl03,Spirea\r\n/m/03cl2zk,Tuna fish sandwich\r\n/m/03cl34r,Covin\r\n/m/03cl6hp,Bánh tẻ\r\n/m/03clckp,Wood\r\n/m/03cld36,Iron\r\n/m/03clhq8,Hybrid\r\n/m/03cljxs,Helicon\r\n/m/03clnd_,Putter\r\n/m/03clqbw,Satay bee hoon\r\n/m/03clxp0,Toyota premio\r\n/m/03cm4_4,Pelota mixteca\r\n/m/03cm5cw,China cabinet\r\n/m/03cm9g6,Jaguar mark 1\r\n/m/03cmfx4,Perico\r\n/m/03c_mg_,Bass violin\r\n/m/03cn12g,Dominostein\r\n/m/03cn20w,Hairy willowherb\r\n/m/03c_ndy,Aegean cat\r\n/m/03cnf6,Mazda bongo\r\n/m/03cnxry,Sweet and sour chicken\r\n/m/03cny9,Badge\r\n/m/03cp_0d,Enterra vipre\r\n/m/03cp1wp,Rain chain\r\n/m/03cpcy4,Acmon Blue\r\n/m/03cpd8h,Ham and egg bun\r\n/m/03cph5p,Wild sweet potato\r\n/m/03cpkpj,Flourless chocolate cake\r\n/m/03cpwwf,Frijoles charros\r\n/m/03cpzmn,Rosca de reyes\r\n/m/03cq64y,Lancia ardea\r\n/m/03cqcy1,Crisp\r\n/m/03cqg90,Daf 33\r\n/m/03cqjpv,Blue cardinal flower\r\n/m/03c_qk,Mackerel\r\n/m/03cq_p,Kerry blue terrier\r\n/m/03cqpm,Pall-bearer\r\n/m/03cqr20,Pastel de choclo\r\n/m/03cr0nn,Oatmeal cookie\r\n/m/03cr0tg,Nude photography\r\n/m/03cr2cg,Sujebi\r\n/m/03cr3jl,Hyundai i10\r\n/m/03cr4gb,Treadmill desk\r\n/m/03cr7fw,Morkie\r\n/m/03crf92,Sundubu jjigae\r\n/m/03crglc,Sinseollo\r\n/m/03crh22,Moisture meter\r\n/m/03crjwq,Napkin ring\r\n/m/03crppn,Hyundai i20\r\n/m/03crxk8,Chrysler royal\r\n/m/03cs23q,Foursome (golf)\r\n/m/03cs8dk,Freestyle scootering\r\n/m/03cs99w,Pong lang\r\n/m/03cs9b,Pelmeni\r\n/m/03csmsk,Dhansak\r\n/m/03csmy0,Baghara baingan\r\n/m/03csnlt,Mirchi ka salan\r\n/m/03cspb9,Kkakdugi\r\n/m/03csw8,Lockheed a-12\r\n/m/03cszk6,Pineapple lumps\r\n/m/03ct2_8,Frutti di bosco\r\n/m/03ct3,Goth subculture\r\n/m/03ct52,Devil's tongue\r\n/m/03ctkrp,Fu ling\r\n/m/03ctrlg,Vendor\r\n/m/03ctwww,Motorcycle fairing\r\n/m/03ctz01,Bindeez\r\n/m/03cv2kg,Featherboard\r\n/m/03cv3p8,Food dehydrator\r\n/m/03cv61z,Moth orchid\r\n/m/03cv750,White moth mullein\r\n/m/03cvbgp,Baek kimchi\r\n/m/03cvd0k,Friterie\r\n/m/03cvk1,Fromage blanc\r\n/m/03cvmmd,Suit trousers\r\n/m/03cvmz,Large White\r\n/m/03cvpsv,Chicken riggies\r\n/m/03cvrz,Mountainboarding\r\n/m/03cw5s,Common blue\r\n/m/03cwlqd,Marie biscuit\r\n/m/03cwvgk,Dodge warlock\r\n/m/03cx8b,Mealworm\r\n/m/03cxb7,Darkling beetles\r\n/m/03cxfyn,Epiphyllum pumilum\r\n/m/03cxnw7,Locker\r\n/m/03cxqt,Adonis\r\n/m/03cxvxl,Mundu\r\n/m/03cxz3q,Mont blanc\r\n/m/03cy09v,Lancia artena\r\n/m/03cy68,Computer cooling\r\n/m/03cycht,Bánh cáy\r\n/m/03cyhx,Txalaparta\r\n/m/03cyls,Pumpernickel\r\n/m/03cyx6f,Citroën rosalie\r\n/m/03cz0t7,Phalaenopsis equestris\r\n/m/03cz1pf,Lancia augusta\r\n/m/03czwv,Pitchfork\r\n/m/03d0_4,Goose tansy\r\n/m/03d06tc,Agrodolce\r\n/m/03d0clv,Rosa palustris\r\n/m/03d0cmj,Virginia sweetspire\r\n/m/03d0crb,Amphibious assault ship\r\n/m/03d0hv,Tree poppy\r\n/m/03_d0,Jazz\r\n/m/03d0ts,Panini\r\n/m/03d0wj7,Narrow leaved cottonwood\r\n/m/03d11pb,1800 tequila\r\n/m/03d12,Greyhound\r\n/m/03d1mf,Hendl\r\n/m/03d1rd,Ruins\r\n/m/03d1sfl,Candied fruit\r\n/m/03d1ynd,Hyundai genesis coupe\r\n/m/03d1ytk,Ariselu or arisa\r\n/m/03d1yz0,Urfa biber\r\n/m/03d20jy,Peugeot 402\r\n/m/03d24_1,Tartane\r\n/m/03d28y3,Natural landscape\r\n/m/03d2c4m,Document camera\r\n/m/03d2lvr,Sukhoi su-35bm\r\n/m/03d2n3p,Volkswagen up\r\n/m/03d2nx6,Volkswagen cc\r\n/m/03d2p54,Volkswagen amarok\r\n/m/03d2qz6,Wiener melange\r\n/m/03d2wd,Dining room\r\n/m/03d2z8c,Rivet gun\r\n/m/03d2zy,Laundry room\r\n/m/03d3d4r,Small white aster\r\n/m/03d3zny,Pecan log roll\r\n/m/03d3zqn,Northern hardwood forest\r\n/m/03d443,Rhinoceros\r\n/m/03d44m,Indian rhinoceros\r\n/m/03d49p1,Monochrome photography\r\n/m/03d4ll_,Moulding plane\r\n/m/03d4nq,Baja bug\r\n/m/03d4p1,Peperoncini\r\n/m/03d4rpl,Toyota sportivo coupe\n/m/03d4xpm,Opel insignia\r\n/m/03d4zg,Ford escape\r\n/m/03d57vw,Quince dessert\r\n/m/03d5m7,Mazda tribute\r\n/m/03d5znm,French tian\r\n/m/03d64jp,Regal Fritillary\r\n/m/03d6gvk,Lithuanian hound\r\n/m/03d6jvs,Clams oreganata\n/m/03d6rz6,Xiaochi\r\n/m/03d741,Spice mix\r\n/m/03d74pk,Kakinada khaja\r\n/m/03d74ql,Spruce-fir forest\r\n/m/03d75j,Chili powder\r\n/m/03d7751,Coconut custard\r\n/m/03d7qqr,Lomi\r\n/m/03d831v,Saladitos\r\n/m/03d8m_,Monster truck\r\n/m/03d8p0m,Tatra 11\r\n/m/03d8p2p,Rolls-royce 25/30\r\n/m/03d8t1,Two-way radio\r\n/m/03d94cb,Garden phlox\r\n/m/03d9616,Whitley neill gin\r\n/m/03ddt,Geiger counter\r\n/m/03df0y,Opel sintra\r\n/m/03dg3,Gin\r\n/m/03dg8j,Mattress\r\n/m/03dhbp,Transformers\r\n/m/03dj64,Black cat\r\n/m/03dk9t,Roller derby\r\n/m/03dkj_,Hawaiian hibiscus\r\n/m/03dlsk,Bonito\r\n/m/03dm3w,Air racing\r\n/m/03dm8w,Volkswagen lt\r\n/m/03dmcd,Volkswagen type 3\r\n/m/03dmdw,Volkswagen type 4\r\n/m/03dmqv,Renault 25\r\n/m/03dn1m,Renault scénic\r\n/m/03dncm,Crinum\r\n/m/03dndc,Fiat stilo\r\n/m/03dnpn,Honeysuckle\r\n/m/03dnxh,White bread\r\n/m/03dnzn,Bathtub\r\n/m/03dqm0,Poison dart frog\r\n/m/03dqpc,Card scraper\r\n/m/03dqt,Grey whale\r\n/m/03drls,Ylang-ylang\r\n/m/03drm6,Maid\r\n/m/03dryc,Go-go dancing\r\n/m/03drzh,Vernors\r\n/m/03dszr,Akbash dog\r\n/m/03dtr,Geyser\r\n/m/03dvmm,Mclaren automotive\r\n/m/03dvq6,Faggot\r\n/m/03dvs9,Rattlesnake\r\n/m/03dvsn,Ground rattlesnake\r\n/m/03dy6r,Blintz\r\n/m/03dyz,Gin and tonic\r\n/m/03dz79,Lotus cortina\r\n/m/03dzf4,Kobe beef\r\n/m/03dzf,Gimlet\r\n/m/03dzlg,Burmese python\r\n/m/03f03m,Tetherball\r\n/m/03f0h4,Roman temple\r\n/m/03f249,Maglev\r\n/m/03f2m2,Duvet\r\n/m/03f34_,Ancient greek temple\r\n/m/03f35r,Wildflower\r\n/m/03f476,Veggie burger\r\n/m/03f52z,Eyelash\r\n/m/03f5jh,Dog crossbreeds\r\n/m/03f5mt,Keytar\r\n/m/03f5_w,Steak tartare\r\n/m/03f6kb,Caviar\r\n/m/03f6tc,Recreation room\r\n/m/03f6tq,Living room\r\n/m/03f6y0,Half track\r\n/m/03f7_0,Bologna sausage\r\n/m/03f84m,American hairless terrier\r\n/m/03f956,Melastome family\r\n/m/03f982,Bunk bed\r\n/m/03f9m6,Bandsaw\r\n/m/03f9q7,Rock samphire\r\n/m/03fb_2,Tilefish\r\n/m/03fb57,Bmw z3\r\n/m/03fcm,Granite\r\n/m/03fcmz,Transmission tower\r\n/m/03ff9,Galactus\r\n/m/03_ffr,Pusher configuration\r\n/m/03fg7b,Mushing\r\n/m/03fgc9,Mercedes-benz m-class\r\n/m/03fgdt,Mercedes-benz cl-class\r\n/m/03fgf5,Mercedes-benz slk-class\r\n/m/03fgfz,Mercedes-benz clk-class\r\n/m/03fgtt,Sulphur-crested cockatoo\r\n/m/03fj2,Goldfish\r\n/m/03fk5c,Clinic\r\n/m/03fk5t,Ballet tutu\r\n/m/03fkmk,Red snapper\r\n/m/03fl3v,Yuzu\r\n/m/03fly7,Mazda porter\r\n/m/03flyl,Mazda laputa\r\n/m/03fm2k,Long-bearded axe\r\n/m/03fnz,Gecko\r\n/m/03fp41,Houseplant\r\n/m/03fp9_,Mazda premacy\r\n/m/03fpbr,Mazda demio\r\n/m/03fpmv,Fireboat\r\n/m/03fqgz,Australian bulldog\r\n/m/03fqrw,Meko\r\n/m/03f_s3,Mechanic\r\n/m/03fs3n,Alfa romeo 156\r\n/m/03fsbf,Protractor\r\n/m/03fsht,Coffee milk\r\n/m/03fsw,Gila monster\r\n/m/03ft6m,Banquet\r\n/m/03fw2,Gluten\r\n/m/03fwkx,Espresso con panna\r\n/m/03fwl,Goat\r\n/m/03fxv1,Black-eyed susan\r\n/m/03fy76,Stroke play\r\n/m/03fybj,Cointreau\r\n/m/03fydf,Spotted skunk\r\n/m/03fyrh,Greco-roman wrestling\r\n/m/03fyyd,Shar pei\r\n/m/03fz3,Gelatin\r\n/m/03fzx0,War machine\r\n/m/03fzy,Gelatin dessert\r\n/m/03g09t,Clip art\r\n/m/03_g1h,Mantidae\r\n/m/03g_24d,Hillman super minx\r\n/m/03g3w,History\r\n/m/03g3ws,Koeksister\r\n/m/03g4ww,Anthriscus\r\n/m/03g4zg,Ford zephyr\r\n/m/03g5n9,Invoice\r\n/m/03g5sy,Pâté\r\n/m/03g_78s,Gaddi kutta\r\n/m/03g_8bh,Shahi paneer\r\n/m/03g8mr,Baseball bat\r\n/m/03g917,Bibimbap\r\n/m/03g955,Tea strainer\r\n/m/03gbdv,Cambodian food\r\n/m/03gc9z,Lada kalina\r\n/m/03gdwl,Fufu\r\n/m/03gfsp,Ceiling\r\n/m/03ggbr,Small heath (butterfly)\r\n/m/03ggkw,Boeing f/a-18e/f super hornet\r\n/m/03g_gn8,Fang\r\n/m/03gj44,Crew cut\r\n/m/03gjwx,Ford fairmont\r\n/m/03gk4c,Mercury zephyr\r\n/m/03gkb0,Socialite\r\n/m/03gkc1,Tomato juice\r\n/m/03gkl,Holiday\r\n/m/03gktj,Comb over\r\n/m/03gnv0,Citroën ami\r\n/m/03gnvjj,John smiths\r\n/m/03gq1,Herb\r\n/m/03gq1m,Dinkel wheat\r\n/m/03gq2pg,Hawkweed\r\n/m/03gq2td,Desmans\r\n/m/03gq4g_,Casket\r\n/m/03gq4z6,Yujacha\r\n/m/03gq5d8,Loaf\r\n/m/03gq5hm,Font\r\n/m/03gq5vv,Third generation fiat punto\r\n/m/03gq6cj,Akkawi\r\n/m/03gq92j,Motorcycle racing\r\n/m/03gq_98,Cyaniris\r\n/m/03gqc7c,Seat 132\r\n/m/03gqdpx,Carajillo\r\n/m/03gqdwn,Gaz-24\r\n/m/03gqg_,Balsamic vinegar\r\n/m/03gqh9h,Bolero jacket\r\n/m/03gqjc_,Ford escort rs cosworth\r\n/m/03gqjsf,Shaanxi y-9\r\n/m/03gqk3z,Gmc terrain\r\n/m/03gqk9t,Berger blanc suisse\r\n/m/03gql1p,Silverbush\r\n/m/03gqtlp,Wash bottle\r\n/m/03gqvdt,Vauxhall wyvern\r\n/m/03gqzwv,Celastrina\r\n/m/03gr4fz,Chinese magnolia\r\n/m/03grg_,Piper j-3 cub\r\n/m/03grqp,Drentse patrijshond\r\n/m/03grtvv,Mouse lemur\r\n/m/03grzl,Baseball glove\r\n/m/03gs240,Fiat 1800/2100\r\n/m/03gs8b2,Balance\r\n/m/03gsdz,Oldsmobile silhouette\r\n/m/03gssjk,Flower girl\r\n/m/03gt33k,Tamaskan dog\r\n/m/03gt5g4,Cricket cap\r\n/m/03gt6y,Cessna 150\r\n/m/03gt_7r,Suzuki equator\r\n/m/03gt8gd,Eurocopter ec175\r\n/m/03gtp5,Lamb's quarters\r\n/m/03gt__t,Gift wrapping\r\n/m/03gtx71,Lifeboat\r\n/m/03gtxz,Wheelchair basketball\r\n/m/03gv2v,Salon\r\n/m/03gv6_,Feminine hygiene\r\n/m/03gv7p,Arapaima\r\n/m/03gw0t,Subaru 360\r\n/m/03gw33,Subaru rex\r\n/m/03gw60r,Mantis\r\n/m/03gw66l,Zabumba\r\n/m/03gwcbb,Sweet scabious\r\n/m/03gwcz8,Pipe insulation\r\n/m/03gx1p,Cpu cache\r\n/m/03gxmqw,Dornier do 28\r\n/m/03gxn6,Bird's eye chili\r\n/m/03gxnny,Lancia trevi\r\n/m/03gxr51,Camgirl\r\n/m/03gy109,Diot\r\n/m/03gy1lj,Toyota venza\r\n/m/03gycd2,Saeujeot\r\n/m/03gygzm,Stumbras\r\n/m/03g_yrx,Shlishkes\r\n/m/03gysv,Rotisserie\r\n/m/03gywp,Churrasco food\r\n/m/03gz8mv,Isotta fraschini tipo 8a\r\n/m/03gzlp,Rice pudding\r\n/m/03gzqq,Golf club\r\n/m/03h01bs,Oral hygiene\r\n/m/03h0892,Chicken 65\r\n/m/03h0zb8,Water shoe\r\n/m/03h10bz,Hsv maloo\r\n/m/03h11cj,Lancia 2000\r\n/m/03h1fj9,Mountain garland\r\n/m/03h1q8v,Nagara\r\n/m/03h1s48,Shuanghuan sceo\r\n/m/03h2_5j,Kaldereta\r\n/m/03h3ccm,Flirtini\r\n/m/03h3k2y,Hornyhead Chub\r\n/m/03h3knk,Himalayan sheepdog\r\n/m/03h3kwv,Mizuwari\r\n/m/03h45kd,Fragrant white water lily\r\n/m/03h464_,Rossion q1\r\n/m/03h4c5k,Ischoklad\r\n/m/03h_4m,Cylinder\r\n/m/03h4ryq,Acianthera\r\n/m/03h4z_h,Nervilia\r\n/m/03h53s,Swiss food\r\n/m/03h54r,Sunflower\r\n/m/03h5b43,Mercedes-benz ssk\r\n/m/03h5ms,Relish\r\n/m/03h5n4,Piccalilli\r\n/m/03h5r5x,Cadetia\r\n/m/03h5rf3,Tata nano\r\n/m/03h5rl_,Diplocaulobium\r\n/m/03h5sfg,Menma\r\n/m/03h5sw6,Appendicula\r\n/m/03h5szn,Ceratostylis\r\n/m/03h5v6c,Erebia tyndarus\r\n/m/03h5wg,Curry tree\r\n/m/03h5wy,Channel\r\n/m/03h60qy,Naval trawler\r\n/m/03h619x,Baharat\r\n/m/03h68d,Dodge omni\r\n/m/03h692,Pumping station\r\n/m/03h6l4,Bellflower family\r\n/m/03h71r,Bouvier des flandres\r\n/m/03h7fp,Embraer r-99\r\n/m/03h7st,General motors ev1\r\n/m/03h8n7,Longcase clock\r\n/m/03hcy1d,Mitsubishi\r\n/m/03hd2_,Uscg seagoing buoy tender\r\n/m/03hdcz,Trailer\r\n/m/03hdm9,Streetluge\r\n/m/03hdt8,Tsukemono\r\n/m/03hfn0,Backpacking\r\n/m/03hf_rm,Strategy video game\r\n/m/03hfsvf,Baker's yeast\r\n/m/03hftb1,Cheese fries\r\n/m/03hfths,Lohri\r\n/m/03hftql,Mason jar\r\n/m/03hfwtf,Military transport aircraft\r\n/m/03hfxc4,Custard tart\r\n/m/03hfzm1,Silat\r\n/m/03hg06,Agaricaceae\r\n/m/03hg4l,Taiwanese opera\r\n/m/03hgfw4,Fiat 1500\r\n/m/03hgmr9,Spreewald gherkins\r\n/m/03hgsf0,\"Lemon, lime and bitters\"\r\n/m/03hgwg3,Slatko\r\n/m/03hh08l,Chạo tôm\r\n/m/03hh2k,Grazing\r\n/m/03hhcb,Hawker dragonflies\r\n/m/03hhmd1,Chevrolet parkwood\r\n/m/03h_hm,Ford futura\r\n/m/03hhqs7,Chevrolet corvette c6 zr1\r\n/m/03hhrcv,Lincoln mkt\r\n/m/03hhrv9,Chevrolet yeoman\r\n/m/03hh_st,Rock salmon\r\n/m/03hj515,Scraper\r\n/m/03hj559,Mixing bowl\r\n/m/03hj8f5,Ford ranch wagon\r\n/m/03hjmq8,Hafei zhongyi\r\n/m/03hjn6,Conger eel\r\n/m/03hjr1,Trivet\r\n/m/03hjrvl,Screech owl\r\n/m/03hk20h,Gim\r\n/m/03hk59,Greengrocer\r\n/m/03hkdxz,Fiat 501\r\n/m/03hkhcl,Fiat 503\r\n/m/03hkhj4,Fiat 505\r\n/m/03_hl0,Biryani\r\n/m/03hl4gw,Ford granada\r\n/m/03hl4l9,Marine invertebrates\r\n/m/03hl4nq,Ford granada\r\n/m/03hl_5v,Dhak\r\n/m/03hlg6,Apollo\r\n/m/03hlqvr,Sugar cake\r\n/m/03hl_rq,Mistletoe\r\n/m/03hlv1,Buick lacrosse\r\n/m/03hlz0c,Kitchen utensil\r\n/m/03hlzdd,Poriyal\r\n/m/03hm0hs,Passatelli\r\n/m/03hm4yd,Fisker karma\r\n/m/03hmcy8,Automatic center punch\r\n/m/03hmqv7,Prairie pasqueflower\r\n/m/03hm_vd,Wind-up toy\r\n/m/03hn9cx,Byd f6dm\r\n/m/03hnhqv,Jensen 541s\r\n/m/03hnkx1,Cable converter box\r\n/m/03hnqq_,Orange jelly candy\r\n/m/03hp4mz,Japanese mugwort\r\n/m/03hpb58,Tatra 603\r\n/m/03h_pc,Hot toddy\r\n/m/03hqhp,Rosa canina\r\n/m/03hqlh,Trunk\r\n/m/03hr1p,Road cycling\r\n/m/03hrb5,Racing bicycle\r\n/m/03hrn8,Cyclo-cross\r\n/m/03hs6w,Cyclo-cross bicycle\r\n/m/03hs7k,Cycle sport\r\n/m/03ht9m,Field spaniel\r\n/m/03ht_b,Bánh mì\r\n/m/03htg,Harbor\r\n/m/03htgw,Koolie\r\n/m/03htm6,Batgirl\r\n/m/03ht_p,Saturn l-series\r\n/m/03hts7,Snow cone\r\n/m/03htz_,Saturn s-series\r\n/m/03hv00,Saturn vue\r\n/m/03hv0c,Saturn ion\r\n/m/03hvmn,Salt lake\r\n/m/03hvr6,Fettuccine\r\n/m/03hw_2,Nasturtium\r\n/m/03hw3,Horseshoe\r\n/m/03h_x7f,Ferraris\r\n/m/03hxjw,Butler\r\n/m/03hym,White horehound\r\n/m/03hzb9,Locro\r\n/m/03hzcs,Beige\r\n/m/03j1ly,Emergency vehicle\r\n/m/03j2zx,Subshrub\r\n/m/03j50,Hacker\r\n/m/03_j5r,Jamaican jerk spice\r\n/m/03j5zb,Wind farm\r\n/m/03j7p3,Bob-tail\r\n/m/03j7xx,Truggy\r\n/m/03j8b1,Meadow brown\r\n/m/03j9fd,Green papaya salad\r\n/m/03j9j,Huckleberry\r\n/m/03j9wj,Aurora\r\n/m/03jbfg,Chrysler tc by maserati\r\n/m/03jbwv,Plymouth caravelle\r\n/m/03jbx5,Dodge 600\r\n/m/03jbxj,Light switch\r\n/m/03jc24,Dodge 400\n/m/03jc2v,Chrysler lebaron\r\n/m/03jcqy,Baby shower\r\n/m/03jd48,Hello Panda\r\n/m/03jd78,Sorrel\r\n/m/03jdcl,Common purslane\r\n/m/03jdgw,Purslane family\r\n/m/03jds5,Reefer ship\r\n/m/03jgg9,Cesky terrier\r\n/m/03jgjh,Chrysler valiant\r\n/m/03jgng,Dodge colt\r\n/m/03jgy4,Plymouth laser\r\n/m/03jgz,Historian\r\n/m/03jh42,Eagle vision\r\n/m/03jh4f,Plymouth voyager\r\n/m/03jh4t,Chrysler concorde\r\n/m/03jh54,Chrysler voyager\r\n/m/03jh5w,Eagle premier\r\n/m/03jh6k,Chrysler 300m\r\n/m/03jh9t,Plymouth sundance\r\n/m/03jhcx,Shelby charger\r\n/m/03jhjs,Dodge stratus\r\n/m/03jhk4,Plymouth breeze\r\n/m/03jhmk,Hawksbill sea turtle\r\n/m/03jj52,Tabletop game\r\n/m/03jjm4,Norwich terrier\r\n/m/03jjp9,Simca 1307\r\n/m/03jjs1,Fiat ritmo\r\n/m/03jjy5,Lancia thema\r\n/m/03jm5,House\r\n/m/03jmrd,Beef tenderloin\r\n/m/03jn2m,Azure\r\n/m/03jn61,Morning glory\r\n/m/03jnkr,Finial\r\n/m/03jpc8,Duduk\r\n/m/03jpk2,Steak and kidney pie\r\n/m/03jpvm,Water polo ball\r\n/m/03jq6z,Chevrolet s-10\r\n/m/03jq7b,Gmc savana\r\n/m/03jq8r,Gmc envoy\r\n/m/03jqf3,Chevrolet silverado\r\n/m/03jqjv,Chevrolet c/k\r\n/m/03j_r_,Khol\r\n/m/03jvk,Household hardware\r\n/m/03jvl6,White herring\r\n/m/03jvv0,Teal\r\n/m/03jwdh,Lockheed martin fb-22\r\n/m/03jws_,Crest\r\n/m/03jx4v,Toyota vitz\r\n/m/03jxc7,Mercury mountaineer\r\n/m/03jxpp,Tornjak\r\n/m/03jxqr,Ford e-series\r\n/m/03jxvb,Tata indica\r\n/m/03jydz,Cattleya\r\n/m/03jyg4,Laelia\r\n/m/03jz06,Stilts\r\n/m/03jz2q,Vada pav\r\n/m/03jz5b,Bhelpuri\r\n/m/03j_zy,\"Patrol boat, river\"\r\n/m/03k08s,Hal tejas\r\n/m/03_k0c,Busy Lizzie\r\n/m/03k26d,Stretching\r\n/m/03k2v,Heat\r\n/m/03k3kp,Sōjutsu\r\n/m/03k3mz,India hyacinth\r\n/m/03k3r,Horse\r\n/m/03k3y1,Camas\r\n/m/03k459,Assam tea\r\n/m/03k5cs,Formation\r\n/m/03k77d,Baked alaska\r\n/m/03k9v3,Paint stripper\r\n/m/03kdyt,Austin 16\r\n/m/03kf99,Boisea trivittata\r\n/m/03kj4q,Watercourse\r\n/m/03kj7c,Dodge avenger\r\n/m/03kll,Hero\r\n/m/03km83,Manduca sexta\r\n/m/03_km_,Chest hair\r\n/m/03kn0w,Coachman\r\n/m/03kn7z,Bugatti eb110\r\n/m/03knc5,Bugatti veyron\r\n/m/03knds,Bugatti eb118\r\n/m/03knrz,Bugatti 18/3 chiron\r\n/m/03kpf0,Hellebore\r\n/m/03kpnc,Glitter\r\n/m/03kpt_,Wild buckwheat\r\n/m/03k_qs,Doner kebab\r\n/m/03kr0,Honda\r\n/m/03kr5_,Dolma\r\n/m/03krj,Handball\r\n/m/03krxg,Wheelwright\r\n/m/03ksqp,Cowboy action shooting\r\n/m/03kt2w,Stationary bicycle\r\n/m/03ktm1,Body of water\r\n/m/03kvn1,Bonda\r\n/m/03ky03,College town\r\n/m/03kyfs,Fastener\r\n/m/03kzmq,Baby food\r\n/m/03l04k,Nova scotia duck tolling retriever\r\n/m/03l1ny,Colomban cri-cri\r\n/m/03l1yj,Carrack\r\n/m/03l2k9,Douglas xb-19\r\n/m/03l34,Hard disk drive\r\n/m/03l40d,Hucho taimen\r\n/m/03l441,Kai yang\r\n/m/03l4_g,Buick skyhawk\r\n/m/03l4l4,Shark fin soup\r\n/m/03l5b4,Chevrolet vega\r\n/m/03l5cy,Spinone italiano\r\n/m/03l5_,High jump\r\n/m/03l76q,Chevrolet monza\r\n/m/03l77d,Oldsmobile firenza\r\n/m/03l7vw,Audi allroad\r\n/m/03l7xt,Volkswagen 1-litre car\r\n/m/03l8b8,Chrysler imperial parade phaeton\r\n/m/03l8v3,Buick rainier\r\n/m/03l8vg,Oldsmobile bravada\r\n/m/03l9g,Hammer\r\n/m/03_lbl,Sit-up\r\n/m/03lbny,Black throated Gray Warbler\r\n/m/03lbvs,Eastern european food\r\n/m/03lc_4,Mercury montego\r\n/m/03lc6z,Hindustan ambassador\r\n/m/03lc9n,Amc ambassador\r\n/m/03lcgp,Balut\r\n/m/03lcss,Lycaenid\r\n/m/03lc_v,Ford freestyle\r\n/m/03ld1p,Mercury grand marquis\r\n/m/03ld20,Mercury marauder\r\n/m/03ldnb,Ceiling fan\r\n/m/03ldyd,Pozole\r\n/m/03lfn5,Kettle\r\n/m/03lfny,Bmw 3 series (e21)\r\n/m/03lfpq,Bmw 6 series (e24)\r\n/m/03lfqt,Bmw 3 series (e30)\r\n/m/03lfs8,Bmw 3 series (e36)\r\n/m/03lfsn,Bmw 3 series (e46)\r\n/m/03lftc,Bmw 3 series (e90)\r\n/m/03lfyh,Bmw x5 (e53)\r\n/m/03lgft,Zedoary\r\n/m/03lh85,Kickball\r\n/m/03lhdv,Crab soccer\r\n/m/03ljvf,Grove\r\n/m/03ljw4,Townsend's Warbler\r\n/m/03lkx5,Stickball\r\n/m/03lkyr,Wine raspberry\r\n/m/03lkz3,Opel tigra\r\n/m/03ll3h,Dodge disc\r\n/m/03llnc,Penne alla vodka\r\n/m/03llnq,Land rover discovery\r\n/m/03llr3,Land rover freelander\r\n/m/03llrw,Land rover defender\r\n/m/03lnq3,Keychain\r\n/m/03lnt,Hang gliding\r\n/m/03lnzv,Calabaza\r\n/m/03lp1_,Calabash\r\n/m/03lq2,Halloween\r\n/m/03lr77,Jaguar xjs\r\n/m/03ltt3,Turkish delight\r\n/m/03lvx3,Pipe wrench\r\n/m/03ly4k,Middle eastern food\r\n/m/03lz8t,Juggling club\r\n/m/03lzkv,Cantilever bridge\r\n/m/03m0_6,Schnauzer\r\n/m/03m1c2,Bouncer\r\n/m/03m283,Pakora\r\n/m/03m2nk,Jewel beetles\r\n/m/03m2vb,Chevrolet citation\r\n/m/03m3lz,Grappa\r\n/m/03m3mgq,Computer scientist\r\n/m/03m3pdh,Sofa bed\r\n/m/03m3q7q,Rocky road\r\n/m/03m3q8g,International workers' day\r\n/m/03m3ts6,Pottage\r\n/m/03m3vtv,Adhesive tape\r\n/m/03m3xs,Housekeeping\r\n/m/03m3yj1,Morella cerifera\r\n/m/03m406z,Vauxhall velox\r\n/m/03m44g2,Algerian passport\r\n/m/03m456z,Iraqi passport/\r\n/m/03m459c,Saudi arabian passport\r\n/m/03m49q8,Viennese cuisine\r\n/m/03m49r,Eurasian Water Vole\r\n/m/03m4d_,Brunton stalker\r\n/m/03m4f5w,Syrian passport\r\n/m/03m4wn,Boating\r\n/m/03m4yz0,Heavy lift ship\r\n/m/03m52d,Mercury villager\r\n/m/03m5f4k,Rejuvelac\r\n/m/03m5k,Harp\r\n/m/03m5m55,Range rover evoque\r\n/m/03m5q6,Torch lily\r\n/m/03m5vwn,Succade\r\n/m/03m5y1f,Black bun\r\n/m/03m6511,Toll house\r\n/m/03m6bc1,Spanish daisy\r\n/m/03m6slk,Fiat 525\r\n/m/03m6xqd,Harem pant\r\n/m/03m6zhv,Australian collie\r\n/m/03m6zrd,Fiat 521\r\n/m/03m6zst,Fiat 522\r\n/m/03m747v,Daimler sovereign\r\n/m/03m7c57,Murray river curly coated retriever\r\n/m/03m7fj,Disk enclosure\r\n/m/03m7v4,Hardtop\r\n/m/03m7wd,Sachertorte\r\n/m/03m84qy,Palitaw\r\n/m/03m84yg,Isostar\r\n/m/03m8938,Honda stepwgn\r\n/m/03m89fy,Kapampangan cuisine\r\n/m/03m8d2,Jensen interceptor\r\n/m/03m8_,Hyena\r\n/m/03m_8_,Mantou\r\n/m/03m8np8,Common Wood nymph\r\n/m/03m9d0z,Wind\r\n/m/03m9_g6,Livestock carrier\r\n/m/03m9jks,Helping hand\r\n/m/03m9rzg,Tawny Emperor\r\n/m/03m9tm,Royal mail ship\r\n/m/03m9ttv,Jaguar mark viii\r\n/m/03m9vzq,Hummer h3t\r\n/m/03mb156,Headset\r\n/m/03mb290,Jaguar mark vii\r\n/m/03mb71,Sikorsky s-76\r\n/m/03mbypz,Blowing horn\r\n/m/03mc3_3,Rolls-royce ghost\r\n/m/03mc3nt,Avalanche lily\r\n/m/03mc6t6,Fra diavolo sauce\r\n/m/03mcpy,Blanket\r\n/m/03mcr3,Bedding\r\n/m/03mcwy,Tag rugby\r\n/m/03md8v9,Coppia ferrarese\r\n/m/03mdjsk,Tatarian aster\r\n/m/03mf2v_,Spotted Joe pye Weed\r\n/m/03mg42l,Chevrolet advance design\r\n/m/03mg4r6,Talo\r\n/m/03mg68q,Chevrolet task force\r\n/m/03mgd6,Pit stop\r\n/m/03mg_f1,Borgward isabella\r\n/m/03mgk,Hominy\r\n/m/03mgvkn,Slovak cuvac\r\n/m/03mgwsj,Ac 2-litre\r\n/m/03mh10,Four square\r\n/m/03mhnbb,Piaggio ciao\r\n/m/03mhnzz,Borgward hansa 1500\r\n/m/03mjm8,Ferrari 250 gto\r\n/m/03mjm_,Cocoa butter\r\n/m/03mjpw,Mercury sable\r\n/m/03mkll,Honda city\r\n/m/03mltw,Tata indigo\r\n/m/03mmj9,Triplane\r\n/m/03mm_r,Hummer h2\r\n/m/03mn0k,Jeep wrangler\r\n/m/03mn31,Chrysler imperial\r\n/m/03_mn6,Lotus\r\n/m/03mnnd,Mercury mariner\r\n/m/03mnq_,Cadillac xlr\r\n/m/03mnql,Ford f-series\r\n/m/03mntt,Cadillac sts\r\n/m/03mp1,Membrane-winged insect\r\n/m/03mpbz,Buick rendezvous\r\n/m/03mr6,Hockey\r\n/m/03mr8x,Grey fox\r\n/m/03ms9p,Truss bridge\r\n/m/03mssp,Jeep cj\r\n/m/03mt14,Nash metropolitan\r\n/m/03mt9c,Guqin\r\n/m/03mt9v,Guzheng\r\n/m/03_mtn,Sacred lotus\r\n/m/03mv3w,Fairy bread\r\n/m/03mv4,Honeymoon\r\n/m/03mv8v,Morris minor\r\n/m/03mw1c,Exhaust hood\r\n/m/03mwq7,Bawls\r\n/m/03myyt,Oyster vermicelli\r\n/m/03myzy,Upma\r\n/m/03mz0c,Basque pelota\r\n/m/03mzt2,Shark\r\n/m/03n0sf,Afro\r\n/m/03n0zq,Clerk\r\n/m/03n16b,Mercury topaz\r\n/m/03n1dn,Fila brasileiro\r\n/m/03n1tj,Marshmallow creme\r\n/m/03n22w,Camberwell Beauty\r\n/m/03n251,Silver-washed fritillary\r\n/m/03n3f3,Premiere\r\n/m/03n3wh,Radicchio\r\n/m/03n5j1,Drilling\r\n/m/03n7z7,\"Landing ship, tank\"\r\n/m/03n83m,Mercury capri\r\n/m/03n96h,Covini c6w\r\n/m/03n9vx,Double-decker bus\r\n/m/03nclr,Dental braces\r\n/m/03ndd,Hammered dulcimer\r\n/m/03nfch,Sandal\r\n/m/03nfmq,Architecture\r\n/m/03ngrc,Garden white\r\n/m/03ngxt,Toyota corona\r\n/m/03nh03,Mitsubishi magna\r\n/m/03nh1x,Nissan bluebird\r\n/m/03nhvb,Utility software\r\n/m/03njrd,Stony coral\r\n/m/03nk74,Emperor moths\r\n/m/03nk_s,Plant sap\r\n/m/03nlf2w,Electric car\r\n/m/03nllb4,Back bacon\r\n/m/03nlz9x,Mostaccioli\r\n/m/03nm8c,European garden spider\r\n/m/03nm_l,General tso's chicken\r\n/m/03nmxfj,Pastry blender\r\n/m/03nn09t,Zen master\r\n/m/03nn2g,Sesame oil\r\n/m/03nn344,Catahoula bulldog\r\n/m/03nn6b,Reining\r\n/m/03nn6w8,California fawn lily\r\n/m/03nn72h,Yellow avalanche lily\r\n/m/03nn83,Cowboy boot\r\n/m/03nn8h,Scion tc\r\n/m/03nnj_,Mercury monarch\r\n/m/03nnn2,Ford ltd\r\n/m/03nnwb8,Bmw 503\r\n/m/03np0wd,Blue-backed fish\r\n/m/03np5r,Douglas b-23 dragon\r\n/m/03np643,Bmw 326\r\n/m/03npf3,Renault 21\r\n/m/03n_pf,Haidong gumdo\r\n/m/03npn,Horror\r\n/m/03npntq,Locking pliers\r\n/m/03npplq,Slip joint pliers\r\n/m/03npqws,Panjiri\r\n/m/03nqmdz,Eggs sardou\r\n/m/03nqwyx,Bmw 335\r\n/m/03nqzw7,Award ceremony\r\n/m/03nr3j5,Bmw 327\r\n/m/03nr3nn,Lancia dilambda\r\n/m/03nr7x4,Lancia kappa\r\n/m/03nrcjg,Soul cake\r\n/m/03ns133,Bass banjo\r\n/m/03ns2k,Litter\r\n/m/03ns47m,Honmei choco\r\n/m/03ns4cg,Archidendron pauciflorum\r\n/m/03nsb6g,Lancia alfa-12hp\r\n/m/03nscmh,Food steamer\r\n/m/03nsfg,Flagstone\r\n/m/03nsfq7,Seagram's seven crown\r\n/m/03nsht8,Mobile phone accessories\r\n/m/03nsjgy,Kourabiedes\r\n/m/03nt_07,Borgward p100\r\n/m/03nt327,Saleen s281\r\n/m/03ntdn,Gunny sack\r\n/m/03nthmp,Bmw 340\r\n/m/03ntq8,Ancient age\r\n/m/03ntth5,First generation ford mustang\r\n/m/03nttvw,Second generation ford mustang\r\n/m/03ntxh,Ezra brooks\r\n/m/03ntz9,Old crow\r\n/m/03nvr3d,Anaxyrus\r\n/m/03nw_15,Triumph gloria\r\n/m/03nwjn,Mohawk hairstyle\r\n/m/03nwr3,Hair gel\r\n/m/03nwsj,Hair iron\r\n/m/03nwv4y,Borgward hansa 2400\r\n/m/03nx2lq,Jeon\r\n/m/03nx6qb,Plymouth deluxe\r\n/m/03nxdh1,Mitsuoka galue\r\n/m/03nxqmx,Quray\r\n/m/03nxqpm,Rondador\r\n/m/03nxqzk,Pin pia\r\n/m/03nxtz,Cottage\r\n/m/03nybl,Police station\r\n/m/03p055,Shuttle tanker\r\n/m/03p0hl,Cümbüş\r\n/m/03p19w,Jackhammer\r\n/m/03p1n_,Sledgehammer\r\n/m/03p1r4,Cupcake\r\n/m/03p1vr,Guavaberry\r\n/m/03p2h9,Hybrid bicycle\r\n/m/03p3bw,Bicycle helmet\r\n/m/03p3yx,Phaeton\r\n/m/03p4r6,Snickerdoodle\r\n/m/03p503,Anthocharis cardamines\r\n/m/03p616,Triumph acclaim\r\n/m/03p638,Triumph tr8\r\n/m/03p66g,Crossover suv\r\n/m/03p67l,Equitation\r\n/m/03p6b0,Mahonia\r\n/m/03p6y5,Nissan skyline\r\n/m/03p71h,Toyota soarer\r\n/m/03p9k2,Launeddas\r\n/m/03pbkv,Dall's sheep\r\n/m/03pby,Handheld game console\r\n/m/03_pfn,Liver\r\n/m/03pfrr,Pilatus pc-12\r\n/m/03pghs,Cadillac catera\r\n/m/03pgl6,Opel senator\r\n/m/03pgm,Horse tack\r\n/m/03pgvj,Nissan almera\r\n/m/03phql,Peugeot 1007\r\n/m/03pj6l,Ski pole\r\n/m/03pjsn,Knotweed\r\n/m/03pmqg,Chrysler cordoba\r\n/m/03pmx4,E-boat\r\n/m/03pn8h,Coleslaw\r\n/m/03pn_q,Begging\r\n/m/03pnr7,Calas\r\n/m/03pnth,Corkscrew\r\n/m/03pnwk,Tide pool\r\n/m/03ppgp,Pole dance\r\n/m/03pqt3,Concierge\r\n/m/03prm5,Audi 50\r\n/m/03ps33,Heart's ease\r\n/m/03psdn,Mast\r\n/m/03pt44,Toyota 2000gt\r\n/m/03pty,Hotel\r\n/m/03pv6w,Cercocarpus\r\n/m/03pv8m,Washer\r\n/m/03pvc6,Irish food\r\n/m/03pvdc,Portuguese food\r\n/m/03pvfv,Dutch cuisine\r\n/m/03pvgl,Canadian cuisine\r\n/m/03pvjd,Irish stew\r\n/m/03pyqb,Bicycle fork\r\n/m/03pzx,Great ape\r\n/m/03q0c2,Flying disc freestyle\r\n/m/03q13l,Deck\r\n/m/03q1p7,Deck\r\n/m/03q2b,Ham\r\n/m/03q3l,Hammerhead\r\n/m/03q44n,Pinscher\r\n/m/03q5c7,Saucer\r\n/m/03q5fj,Teacup\r\n/m/03q5ry,Pontiac lemans\r\n/m/03q5sm,Fiat coupé\r\n/m/03q5t,Harpsichord\r\n/m/03q5tr,Subaru alcyone svx\r\n/m/03q642,Ramune\r\n/m/03q69,Hair\r\n/m/03q6mh,Beef stroganoff\r\n/m/03q7p08,Earthenware\r\n/m/03q7pgh,Cardboard\r\n/m/03q7vc,Acorn\r\n/m/03q8g,Haggis\r\n/m/03qbc4,Toyota rav4 ev\r\n/m/03qc82_,Recreational fishing\r\n/m/03qc9w2,\"Landing ship, infantry\"\r\n/m/03qc9zr,Shout\r\n/m/03qcb98,Almond butter\r\n/m/03qcc_v,Artificial fly\r\n/m/03_qcd,Infiniti q45\r\n/m/03qcdx1,Tumbling (gymnastics)\r\n/m/03qcdy5,Second generation lexus is\r\n/m/03qcfgl,Dacia sandero\r\n/m/03qc_fx,Singer sm1500\r\n/m/03qcm6c,Shimotsukare\r\n/m/03q_cn,Sandboarding\r\n/m/03qcpw1,Bmw 3200 cs\r\n/m/03qcqhp,Babycino\r\n/m/03qczsl,Nsu spider\r\n/m/03qd1v7,Steyr 50\r\n/m/03qd25l,Puch 500\r\n/m/03qd4jk,Fiat 1200\r\n/m/03qfdj9,Bmw 321\r\n/m/03qfpl7,Tree stand\r\n/m/03qgm_2,Squab\r\n/m/03qgm5z,Auto union 1000\r\n/m/03qg_np,Geissorhiza\r\n/m/03qg_qd,Aristea\r\n/m/03qgtcd,Dresser\r\n/m/03qh03g,Media\r\n/m/03_qhc,Grille\r\n/m/03qhk3m,Statistical graphics\r\n/m/03qhnv4,Italian sweet pepper\r\n/m/03qhrvt,Hishi mochi\r\n/m/03qhv5,Heater\r\n/m/03qj_08,Lacrosse helmet\r\n/m/03qj3_x,Dkw 3=6\r\n/m/03qj7cp,Basbousa\r\n/m/03qj953,Cream of mushroom soup\r\n/m/03qjg,Harmonica\r\n/m/03qjn51,Txistu\r\n/m/03qjp5c,Foglie d'ulivo\r\n/m/03qjrjb,Đàn môi\r\n/m/03qjy4s,Himalayan salt\r\n/m/03qjz,Hops\r\n/m/03qk21y,Peugeot ludix\r\n/m/03qk2gn,Dkw f89\r\n/m/03qk36c,Airport bus\r\n/m/03qkdt4,Naporitan\r\n/m/03qkq0v,Lip liner\r\n/m/03qksbw,Hsv w427\r\n/m/03qkxbh,Ifa f9\r\n/m/03qkxs7,Work boots\r\n/m/03qkynf,Fontange\r\n/m/03q_l4,Floating production storage and offloading\r\n/m/03qlf3b,Holden coupe 60\r\n/m/03ql_sf,Renault viva grand sport\r\n/m/03qm7wy,Indian omelette\r\n/m/03qmg1,Baritone saxophone\r\n/m/03qmh,Honey\r\n/m/03_qm,Jeep\r\n/m/03qmzb1,Dkw f8\r\n/m/03qn_2z,Seat bocanegra\r\n/m/03qn518,Shanghai-volkswagen lavida\r\n/m/03qn772,Dkw f9\r\n/m/03qnc_w,Saab 9-x biohybrid\r\n/m/03qnfyd,Animal source foods\r\n/m/03qnm0,Boeing x-48\r\n/m/03qp04,Blue cheese\r\n/m/03qp1j5,Panhard dyna x\r\n/m/03qp37,Pontiac aztek\r\n/m/03qp86,Pontiac trans sport\r\n/m/03qp9vc,Ford cougar\r\n/m/03qpft,Podium\r\n/m/03qqnt,Flightless bird\r\n/m/03qqqyh,Bmw 535\r\n/m/03qqqzg,Bmw 528\r\n/m/03qqsr,Buick centurion\r\n/m/03qrc,Hamster\r\n/m/03qr_q,Ferrari f430\r\n/m/03qsddz,Agronomist\r\n/m/03qsdgp,Jazz pianist\r\n/m/03qsdpk,Theatre\r\n/m/03qt09,Minelayer\r\n/m/03qt4l,Shabu-shabu\r\n/m/03qtd73,Cookies and crackers\r\n/m/03qtfg,Lavochkin la-15\r\n/m/03qtgjk,Office equipment\r\n/m/03qtgkw,Hardware\r\n/m/03qtgn,Poncho\r\n/m/03qtmn,Winemaker\r\n/m/03qtnt,Miniature\r\n/m/03qtqc,Coddle\r\n/m/03qtq,Hi-hat\r\n/m/03qtwd,Crowd\r\n/m/03qv1l,Grass snake\r\n/m/03qvks,Notchback\r\n/m/03qwvw,Moonlight\r\n/m/03qz9,Humvee\r\n/m/03qzcx,Platform supply vessel\r\n/m/03qzdm,Iced tea\r\n/m/03qzgq,Rock climbing\r\n/m/03qzpt,River monitor\r\n/m/03r0jn,Street game\r\n/m/03r18y,Peach\r\n/m/03r1mx,Handstand\r\n/m/03r1s9,Paneer\r\n/m/03r2wc,Siai-marchetti sf.260\r\n/m/03r5_l,Anchor handling tug supply vessel\r\n/m/03r8dh,Greeting card\r\n/m/03r8gp,Filmmaking\r\n/m/03r8pl,Trautonium\r\n/m/03r9_f,Mercury milan\r\n/m/03r9h4,Horse meat\r\n/m/03r9x3,Ullucus\r\n/m/03rb1r,Chuseok\r\n/m/03rb85,Space bar\r\n/m/03rb9m,Crab stick\r\n/m/03rbf6,Macro photography\r\n/m/03rbhq,Sundae\r\n/m/03rby,Hail\r\n/m/03rbzn,Racewalking\r\n/m/03rcbt,Dungeness crab\r\n/m/03rcc4,Common eland\r\n/m/03rcx0,Bush clovers\r\n/m/03rdt,Hellbender\r\n/m/03rdtj,Honda accord hybrid\r\n/m/03rgb6,Fusarium\r\n/m/03rkz,Indian musical instruments\r\n/m/03rl3m,Laser tag\r\n/m/03rly0,Endmill\r\n/m/03rm0l,Concrete ship\r\n/m/03rmky,Bombardier challenger 600\r\n/m/03rmrp,Sikaran\r\n/m/03rmvt,Giddha\r\n/m/03rnh,Industry\r\n/m/03rnrl,Jaguar mark x\r\n/m/03rnxq,Souvenir\r\n/m/03rp9t,Santoor\r\n/m/03rr_r,North american t-28 trojan\r\n/m/03rrz8,Douglas' squirrel\r\n/m/03rszm,Curtain\r\n/m/03rt_6,Lincoln versailles\r\n/m/03rtzs,Centaurium\r\n/m/03rv52,Tortilla chip\r\n/m/03rvb7,Nasa x-38\r\n/m/03rvyf,Hartebeest\r\n/m/03rw5b,Hal dhruv\r\n/m/03rww8,\"Women's athletics, pentathlon\"\r\n/m/03ryg4,Audi quattro\r\n/m/03rz8v,Cosmetic dentistry\r\n/m/03rzq8,Atabaque\r\n/m/03s0c,Island\r\n/m/03s0cs,Gasparilla pirate festival\r\n/m/03s0pg,Amateur wrestling\r\n/m/03s2xy,Polocrosse\r\n/m/03s2yq,Airco dh.2\r\n/m/03s3k9,Tom and jerry\r\n/m/03s3rn,Soppressata\r\n/m/03s5gv,Lotus eclat\r\n/m/03s7w_,Cirque\r\n/m/03s88m,Earplug\r\n/m/03sbs5,Strength athletics\r\n/m/03scnj,Line\r\n/m/03sd4c,Falcate Orangetip\r\n/m/03sds0,Chevrolet suburban\r\n/m/03sdtk,Chevrolet tahoe\r\n/m/03sdvb,First generation chevrolet aveo\r\n/m/03sdwv,Chevrolet colorado\r\n/m/03sdx6,Chevrolet equinox\r\n/m/03sf3_,Quena\r\n/m/03sfsh,Dredging\r\n/m/03sfx5,Acura legend\r\n/m/03sjs0,Rainbow\r\n/m/03sp5j,House numbering\r\n/m/03sqb_,Farrier\r\n/m/03sr43,Japanese idol\r\n/m/03srkc,Street hockey\r\n/m/03ssg9,Aero ae-45\r\n/m/03ssj5,Bed\r\n/m/03s_tn,Kettle\r\n/m/03stqz,Rollmops\r\n/m/03svjl,Peugeot 907\r\n/m/03svl1,Miniature pinscher\r\n/m/03sw1s,Lox\r\n/m/03swrd,Bed bug\r\n/m/03swsk,Raksha bandhan\r\n/m/03swyc,Dodge magnum\r\n/m/03sx2d,Food court\r\n/m/03sxf_,Anthurium\r\n/m/03sxk8,Fluyt\r\n/m/03sytb,Dayflower\r\n/m/03t16d,Hoary Marmot\r\n/m/03t21c,Volvo v40\r\n/m/03t26k,Ford expedition\r\n/m/03t26z,Ford excursion\r\n/m/03t2gj,Lincoln navigator\r\n/m/03t2jq,Lincoln aviator\r\n/m/03t2mz,Lincoln ls\r\n/m/03t2sw,Lincoln blackwood\r\n/m/03t2y0,Lincoln continental mark vii\r\n/m/03t2zs,Lincoln mark viii\r\n/m/03_t_4,Black history month\r\n/m/03t52l,Gonepteryx rhamni\r\n/m/03t65,Irn-bru\r\n/m/03t6f6,Calpis\r\n/m/03t6fz,Bmw x5\r\n/m/03t6qd,Pocari sweat\r\n/m/03t6zp,Mizuame\r\n/m/03t7cx,Volcanic field\r\n/m/03t7h0,Maar\r\n/m/03t7l5,Stopwatch\r\n/m/03t7yy,Sinestro\r\n/m/03t8nw,Command ship\r\n/m/03t8s1,Higashi\r\n/m/03t8vw,Mil mi-8\r\n/m/03tbl3,Liftback\r\n/m/03tcvy,Lamellophone\r\n/m/03tfl5,Predaceous diving beetles\r\n/m/03tfps,Mil mi-2\r\n/m/03tgnd,Ford aerostar\r\n/m/03tgpw,Gaz-66\r\n/m/03th_3,Vauxhall vx220\r\n/m/03th6k,Morris ital\r\n/m/03th7_,Legcuffs\r\n/m/03t_hd,Sake bomb\r\n/m/03thgk,Silhouette\r\n/m/03thqd,American larch\r\n/m/03thq,Inn\r\n/m/03tht9,Casa c-212 aviocar\r\n/m/03tjqs,Volkswagen type 2 (t3)\r\n/m/03tkrp,Sara Orangetip\r\n/m/03tm3c,Sikorsky s-42\r\n/m/03tmn3,Triumph tr4\r\n/m/03tmr,Ice hockey\r\n/m/03tmx5,Tieguanyin\r\n/m/03tn42,Video game arcade cabinet\r\n/m/03tnzc,Sikorsky s-38\r\n/m/03tpc9,Newsreader\r\n/m/03tphl,Sheaf toss\n/m/03tqj,Icon\r\n/m/03tqs5,Paddle tennis\r\n/m/03ts75,Isuzu aska\r\n/m/03tsyb,Alfa romeo 33\r\n/m/03t_sz,Alfa romeo 155\r\n/m/03tt83,Alfa romeo 164\r\n/m/03ttd9,Pixie-bob\r\n/m/03tts1,Hemp\r\n/m/03tv1g,Ford courier\r\n/m/03tv3q,Ford ecosport\r\n/m/03tvvb,Overcoat\r\n/m/03tw93,Fireplace\r\n/m/03tx8_,Drunken chicken\r\n/m/03txqz,Scale\r\n/m/03txtp,Scion xa\r\n/m/03txvd,Scion xb\r\n/m/03txxp,Subcompact car\r\n/m/03ty65,Chinese architecture\r\n/m/03tz3g,Blowhole\r\n/m/03v0xl,Bmw m3\r\n/m/03v18s,Mitsubishi starion\r\n/m/03v1y2,Poppy family\r\n/m/03v28z,Audi r8\r\n/m/03v2c3,Volvo xc90\r\n/m/03v_2q,Panna cotta\r\n/m/03v3yw,Key\r\n/m/03v5b7,Miner's lettuce\r\n/m/03v5gt,Peugeot 204\r\n/m/03v5tg,Drinking straw\r\n/m/03v636,Sun bass\r\n/m/03v7tf,Baseball field\r\n/m/03v7wk,Tvr s series\r\n/m/03v8q6,Lexus ls\r\n/m/03v908,Rover 75\r\n/m/03vb72,Nissan fuga\r\n/m/03vb9y,Infiniti m\r\n/m/03vbhh,Ladyfinger\r\n/m/03vc65,Buffet\r\n/m/03vcgb,Ski touring\r\n/m/03vcjy,Ford ranger\r\n/m/03vcw7,Dairy cow\r\n/m/03vd0m,Mridangam\r\n/m/03vd46,Herd\r\n/m/03__vd,Vauxhall belmont\r\n/m/03vdvc,Boeing-stearman model 75\r\n/m/03vf67,Sideboard\r\n/m/03vfk9,Aloo gobi\r\n/m/03vfr,Inductor\r\n/m/03vgc4,Norwegian elkhound\r\n/m/03vhz0,Aspic\r\n/m/03vj6r,Obatzda\r\n/m/03vk79,Ice cube\r\n/m/03vl34,Chopin vodka\r\n/m/03_vlr,Smooth fox terrier\r\n/m/03vm19,Renault fuego\r\n/m/03_vn4,Wire hair fox terrier\r\n/m/03vnt4,Mid-size car\r\n/m/03vntj,Full-size car\r\n/m/03_vpw,Backing vocalist\r\n/m/03vql3,Škoda superb\r\n/m/03vrbk,Erinaceidae\r\n/m/03vrbz,Lhasa apso\r\n/m/03vslh,Ssireum\r\n/m/03vt0,Insect\r\n/m/03vtbc,Silver\r\n/m/03vtj,Ice\r\n/m/03vtrh,Great Purple Hairstreak\r\n/m/03vv2l,Mercedes-benz b-class\r\n/m/03vwxl,Renault twingo\r\n/m/03vwz,Ice beer\r\n/m/03vxtt,Dike\r\n/m/03vy48,Footvolley\r\n/m/03vynb,Nissan cefiro\r\n/m/03w0d8,Fire-bellied toad\r\n/m/03w0j9,Tibetan mastiff\r\n/m/03w1r4,Military uniform\r\n/m/03w1t0,Wrestling shoe\r\n/m/03w204,Gulab jamun\r\n/m/03w2bb,Rocket-powered aircraft\r\n/m/03w41f,Church bell\r\n/m/03w43x,Computer wallpaper\r\n/m/03w4m,Ivory-billed woodpecker\r\n/m/03w4zg,Wallball\r\n/m/03w6ms,Guy fawkes night\r\n/m/03w7hp,Ice rink\r\n/m/03w7vn,Triumph spitfire\r\n/m/03w7y7,Luggage\r\n/m/03w8_5b,Naval officer\r\n/m/03w96sg,Tuna casserole\r\n/m/03w98r,Mercedes-benz a-class\r\n/m/03w996y,Volkswagen golf mk5\r\n/m/03w9978,Volkswagen golf mk4\r\n/m/03w997m,Volkswagen golf mk3\r\n/m/03w997z,Volkswagen golf mk2\r\n/m/03w9989,Volkswagen golf mk1\r\n/m/03w9djh,Ekmek kadayıfı\r\n/m/03w9fb9,Crab meat\r\n/m/03w9fgy,Peugeot 201\r\n/m/03w9fh9,Peugeot 301\r\n/m/03w9fhp,Peugeot 302\r\n/m/03w9fjq,Peugeot 601\r\n/m/03w9g1k,Rally raid\r\n/m/03w9h1x,Lancia astura\r\n/m/03w9h27,Vietnamese lotus tea\r\n/m/03w9njg,Goliath gp700\r\n/m/03w9s2,Diospyros\r\n/m/03wb2z,Suite\r\n/m/03wb6gs,Panhard 24\r\n/m/03wb7h,Grevillea\r\n/m/03wbbn,Goalball\r\n/m/03wbh_f,Football gear\r\n/m/03wbpnl,Simsimiyya\r\n/m/03wbt3d,Artega gt\r\n/m/03wc5wd,Police van\r\n/m/03wc5_w,Peugeot type 190\r\n/m/03wc6th,Ribollita\r\n/m/03wcf2,White rhinoceros\r\n/m/03wctf7,Dkw f7\r\n/m/03wcvc2,Jeongol\r\n/m/03wcykg,Diaper bag\r\n/m/03wd175,Isotta fraschini tipo 8\r\n/m/03wdb7h,Daf daffodil\r\n/m/03wdn06,Toyota limo\r\n/m/03wdpdm,Gaz-21\r\n/m/03wdykw,Dkw junior\r\n/m/03wfhdl,Armored car\r\n/m/03wfhhq,Banana roll\n/m/03wfld,Music library\r\n/m/03wflz5,Peugeot roa\r\n/m/03wfv3w,Goliath 1100\r\n/m/03wg67t,Moskovskaya vodka\r\n/m/03wgbk0,Eggplant salads and appetizers\r\n/m/03wgnby,Egg hunt\r\n/m/03wgs0,Bond bug\r\n/m/03wgv58,Grevillea 'moonlight'\r\n/m/03wh__0,Kürtőskalács\r\n/m/03wh0v8,Mentzelia lindleyi\r\n/m/03whbkt,Sake kasu\r\n/m/03wj52p,Dkw f5\r\n/m/03wj7j3,Chin chin\r\n/m/03w_k6,Hide beetles\r\n/m/03wkxl,Honda cr-x del sol\r\n/m/03wkzr,Ankylosaurus\r\n/m/03wlvp_,Volkswagen gti\r\n/m/03wlvxl,Volkswagen gli\r\n/m/03wlw06,Volkswagen r32\r\n/m/03wlz4p,Audi 90\r\n/m/03wm22,Gravure idol\r\n/m/03wm94,Volvo 850\r\n/m/03wmyx,Video server\r\n/m/03wnb0c,Audi cabriolet\r\n/m/03wp90,Lobster roll\r\n/m/03wr01,Safelight\r\n/m/03wtdq,Nissan silvia\r\n/m/03wtgv,Makunouchi\r\n/m/03wvsk,Hair dryer\r\n/m/03wvy,Infantry\r\n/m/03wwcy,Doorbell\r\n/m/03wwy2,Drug test\r\n/m/03_wxk,Kitchenware\r\n/m/03wym,Indoor rower\r\n/m/03wzgp,Bearskin\r\n/m/03wzh1n,Bmw 135\r\n/m/03w_zl,Honda ascot\r\n/m/03x045,Team sport\r\n/m/03x11f,Human torpedo\r\n/m/03x24f,Diving support vessel\r\n/m/03x3bw,Sewing needle\r\n/m/03x3tp,Long track speed skating\r\n/m/03x3y6,Sloppy joe\r\n/m/03x4c1,Tchoukball\r\n/m/03x59_,Abaya\r\n/m/03x5jl,Yağlı Güreş\r\n/m/03x851,Hardware programmer\r\n/m/03x8qf,Boeing x-37\r\n/m/03x9rh,Sadza\r\n/m/03xb2j,Black and tan\r\n/m/03xb9f,Havarti Cheese\r\n/m/03xbgv,Schnitzel\r\n/m/03xbmk,Hose\r\n/m/03xbw,Ice skating\r\n/m/03xcwx,Powered paragliding\r\n/m/03xdw_l,Bmw 550\r\n/m/03xf5ll,Old rasputin russian imperial stout\r\n/m/03xf5m4,Brother thelonious belgian style abbey ale\r\n/m/03x_g0_,Cadillac type 53\r\n/m/03x_g9z,Buick hearse\r\n/m/03xgl,Ivory\r\n/m/03xk6tw,Mazda mazda5\r\n/m/03xkll,Jaguar c-type\r\n/m/03xknb,Ottoman\r\n/m/03xl_3,Sunnyd\r\n/m/03x_lg1,Jackup rig\r\n/m/03x_m45,Black birch\r\n/m/03xmn0,Cowslip\r\n/m/03xmrk,Kingcup\r\n/m/03x_njm,Bmw 501\r\n/m/03xnm0,Bangle\r\n/m/03xp2r,Course\r\n/m/03xptd,Maritime pilot\r\n/m/03x_qw,Black russian terrier\r\n/m/03xr42,Shelby mustang\r\n/m/03xr7y,Lavender\r\n/m/03xrzb,Mincemeat\r\n/m/03xtqh,Sunroof\r\n/m/03xv_1,Dodge durango\r\n/m/03xv_f,Dodge aspen\r\n/m/03xvyz,Ram\r\n/m/03xvzc,Dodge dakota\r\n/m/03xw0h,Dodge diplomat\r\n/m/03xw26,Dodge monaco\r\n/m/03xw2l,Chrysler neon\r\n/m/03xw3c,Dodge neon srt-4\r\n/m/03xw7b,Dodge coronet\r\n/m/03xw92,Dodge mirada\r\n/m/03xwlw,Endurance\r\n/m/03xx54,Paper lantern\r\n/m/03xxlz,Ekiben\r\n/m/03xxp,Invertebrate\r\n/m/03xxq7,Haze\r\n/m/03y0ct0,Toyota curren\r\n/m/03y0gb,Fish oil\r\n/m/03y0yh,Bacalhau\r\n/m/03y1_,Imam\r\n/m/03y1rll,Raf-2203\r\n/m/03y1ssr,Kia forte koup\r\n/m/03y1t3r,Fiat 8 hp\r\n/m/03y1wj3,Opel laubfrosch\r\n/m/03y3pl,Reamer\r\n/m/03y3sg,Boardwalk\r\n/m/03y5cg,New england clam bake\r\n/m/03y6bq,Royal aircraft factory r.e.8\r\n/m/03y6bvt,Finnish hound\r\n/m/03y6m7_,Butane torch\r\n/m/03y6mg,Food processor\r\n/m/03y6w9,Ice boat\r\n/m/03y6yk2,Minttu\r\n/m/03y7kf,Ringo (sport)\r\n/m/03y7kp9,Jwipo\r\n/m/03y7nm,Tasmannia\r\n/m/03y7x9,Onion johnny\r\n/m/03y7y0,Musical box\r\n/m/03y8r7,Aston martin db5\r\n/m/03y949c,Alopekis\r\n/m/03y970,Freeze-drying\r\n/m/03y999,Flap\r\n/m/03yb37s,Orloff vodka\r\n/m/03ybby4,Everyday carry\r\n/m/03ybsm,Creek\r\n/m/03yc7l,Menudo\r\n/m/03ydd_,Havanese\r\n/m/03yddhn,Borador\r\n/m/03ydqs,Flyswatter\r\n/m/03ydrdt,Glyptemys\r\n/m/03ydw6l,Ford thames 300e\n/m/03yf6k,Family reunion\r\n/m/03yfd7,Indoor field hockey\r\n/m/03yff_n,East siberian laika\r\n/m/03yfyt,Changing room\r\n/m/03yg13c,Rain lily\r\n/m/03yhk,Ink\r\n/m/03yj8f,Hippophae\r\n/m/03yjbhb,Coastal motor boat\r\n/m/03yjrzp,Ham salad\r\n/m/03yk08,Water caltrop\r\n/m/03yk8l,Tibetan spaniel\r\n/m/03yk9cp,Picture editor\r\n/m/03ykhq5,Bay breeze\r\n/m/03ykmsj,Tonis puri\r\n/m/03yl64,Companion dog\r\n/m/03yld6,Revolving door\r\n/m/03yljx8,Discinaceae\r\n/m/03ylns,Baby carriage\r\n/m/03ylp97,Fish products\r\n/m/03ylxny,Choi kwang-do\r\n/m/03ymgb,Remoulade\r\n/m/03yn1j,Elephant polo\r\n/m/03yp6w,Aero l-29 delfín\r\n/m/03yp9t,Nightlight\r\n/m/03ypcx,Exotic dancer\r\n/m/03ypym,Maruti 800\r\n/m/03yq53,Mcdonald's chicken mcnuggets\r\n/m/03y_qy,Auto show\r\n/m/03yrc9,Kalimotxo\r\n/m/03yr_k,Nissan sunny\r\n/m/03ys4,Ibizan hound\r\n/m/03ysk,Irish wolfhound\r\n/m/03ysy1,Porsche 911 gt1\r\n/m/03ysz,Italian greyhound\r\n/m/03yt0l,Cheerwine\r\n/m/03yw1p,Girdle\r\n/m/03yw2x,Lurcher\r\n/m/03yw4c,Boccia\r\n/m/03yx9r,Medical glove\r\n/m/03yz3h,Crate\r\n/m/03__z0,Bookcase\r\n/m/03z120,Filmjölk\r\n/m/03z1l4,Nehi\r\n/m/03z1mx,Combretaceae\r\n/m/03z1rt,Hangar\r\n/m/03_z1w,King crab\r\n/m/03z3dw,Frikadeller\r\n/m/03z3j5,Frikandel\r\n/m/03z_3s,Kodiak bear\r\n/m/03z6rw,Mission\r\n/m/03z8vbh,Bmw 330\r\n/m/03z8w7g,Bmw 645\r\n/m/03z97b,Extra ea-300\r\n/m/03z9h23,Bmw 545\r\n/m/03zbtw,Audi q7\r\n/m/03zd0z,Nissan elgrand\r\n/m/03zd5x,Lucha libre\r\n/m/03zdh1,Frangipani\r\n/m/03zdxk,Santur\r\n/m/03zlf3,Rolls-royce phantom\r\n/m/03zltr,Sweet and sour\r\n/m/03zp9z,Crop\r\n/m/03zpvp,Epiphany\r\n/m/03zrlf,Breakwater\r\n/m/03zsp5,Half marathon\r\n/m/03ztrj,Kir\r\n/m/03zyjs,Polo shirt\r\n/m/0400bw,Cinnamon roll\r\n/m/04029j,Barracks\r\n/m/0402hp,Nissan patrol\r\n/m/04030j,Nail polish\r\n/m/0403dg,Scotch pie\r\n/m/04_03g5,Silvery Checkerspot\r\n/m/0403lcy,Netbook\r\n/m/0403m49,Ford taurus sho\r\n/m/0403mwp,\"Thorns, spines, and prickles\"\r\n/m/0403wp9,Muggin\r\n/m/0403yxh,Braque francais\r\n/m/040430c,Peugeot expert\r\n/m/04049n,Sokoke\r\n/m/0404d,Jewellery\r\n/m/0404j5,Gladiolus\r\n/m/0404rx9,Singer roadster\r\n/m/0404y4,Soccer-specific stadium\r\n/m/04050q,Mitsubishi galant lambda\r\n/m/04059x,Greek salad\r\n/m/0405cd,Raita\r\n/m/0405h6p,Toolroom\r\n/m/0405wrv,Coffee cup sleeve\r\n/m/0405zy,Rosa glauca\r\n/m/04060pt,Kong\r\n/m/04061_s,Needlegun scaler\r\n/m/04062_6,Rainbow Snake\r\n/m/04069l,Rosa rubiginosa\r\n/m/0406zkr,Wall chaser\r\n/m/0407cyq,Byd f3dm\r\n/m/0407k9b,Ranat\r\n/m/0407pq2,Kongguksu\r\n/m/0407q12,Brabus rocket\r\n/m/0407_s,Opel agila\r\n/m/0407y2r,Saw u\r\n/m/0407yyq,Desert paintbrush\r\n/m/0408nc8,Bass boat\r\n/m/0408r,Julmust\r\n/m/0408sqp,Sunbeam-talbot 90\r\n/m/0408t8_,Street fashion\r\n/m/0408td,Scanner\r\n/m/0408vf3,Coca\r\n/m/0408vj,Toaster pastry\r\n/m/04097q_,Triumph renown\r\n/m/0409r1,Saber-toothed cat\r\n/m/040bk2,Biewer terrier\r\n/m/040br4,Toy mi-ki\r\n/m/040b_t,Refrigerator\r\n/m/040cm2,Kaiseki\r\n/m/040dl5,Béarnaise sauce\r\n/m/040dsb,Cucumis\r\n/m/040fp9d,Scion\r\n/m/04_0g9,Print server\r\n/m/040h04,Hill station\r\n/m/040jcp,Hijiki\r\n/m/04_0jfp,Maybach zeppelin\r\n/m/040kqv,Rallycross\r\n/m/040l84,Chikuwa\r\n/m/040ls3,Kombu\r\n/m/040m_0,Baize\r\n/m/040m7b,Hyundai tucson\r\n/m/040m82,Kia sportage\r\n/m/040n1z,Off-roading\r\n/m/04_0_nb,Toyota opa\r\n/m/040p0_,Holden barina\r\n/m/040p0m,Chevrolet malibu\r\n/m/040p4s,Tabbouleh\r\n/m/040p7b,Dane axe\r\n/m/040pn9,Chevrolet venture\r\n/m/040ptd,Pontiac montana\r\n/m/040pv3,Chevrolet lumina apv\r\n/m/040r8y,Convair xf-92\r\n/m/040rqz,Pre-dreadnought battleship\r\n/m/040ry3,Tourtière\r\n/m/040_td,Champon\r\n/m/040tm1,Wakame\r\n/m/040t_w,Locking hubs\r\n/m/040v7z,Scrapbooking\r\n/m/040v9f,Squirt\r\n/m/040xlr,First generation nissan z-car (s30)\r\n/m/040y6r,Campari\r\n/m/0410k_5,Treeing tennessee brindle\r\n/m/0410k9,Korokke\r\n/m/0410kz_,Schapendoes\r\n/m/0410_q7,Golden monkey tea\r\n/m/04_10ss,Bronze\r\n/m/0410tth,Motorsport\r\n/m/0410vsl,Wolseley 24/80\r\n/m/0410wml,Toyota camry xv10\r\n/m/0410w_v,Hurdle\r\n/m/0410ztm,Chile relleno\r\n/m/04115dg,Brandade\r\n/m/04115t2,Job\r\n/m/0411b9v,Jing\r\n/m/04_11rc,Roewe 550\r\n/m/0411t3,\"R. torre & company, inc.\"\r\n/m/04121p,Copha\r\n/m/0412fw4,Fennel pondweed\r\n/m/0412gh3,Pontiac 1000\r\n/m/0412k9,Chinmi\r\n/m/0412srs,Hoppang\r\n/m/04131q,Lorne sausage\r\n/m/04_132p,Poulet au fromage\r\n/m/0413drl,Alvis ta 14\r\n/m/0413gvh,Spotted dolphin\r\n/m/0413hrl,Florentine biscuit\r\n/m/0413ml2,Marinara sauce\r\n/m/0413pc,Chevrolet uplander\r\n/m/0413qt,Buick terraza\r\n/m/0413r8v,Treeing cur\r\n/m/0413v13,Tartufo\r\n/m/0413y3,Mesh\r\n/m/04142yb,Alvis tc 21\r\n/m/04143p5,Aquathlon (underwater wrestling)\n/m/04147s7,Gozinaki\r\n/m/04_14p8,Audi r15 tdi\r\n/m/0414yw0,Macoma\r\n/m/04153j4,Sauce gribiche\r\n/m/04153t_,Grinding\r\n/m/0415sqg,Tvr t350\r\n/m/0415w9g,Rare breed (dog)\r\n/m/0415zw5,Seat 1400\r\n/m/04169hn,Wood-burning stove\r\n/m/0416b0,Bolognese sauce\r\n/m/0416k38,Gonepteryx cleopatra\r\n/m/0416r3y,Carnaroli\r\n/m/04_16xk,Buick blackhawk\r\n/m/04178h3,Labrador husky\r\n/m/0417g1,Kurri\r\n/m/04182ff,Ravanahatha\r\n/m/04184t8,Banjo dulcimer\r\n/m/04191v,Speculoos\r\n/m/0419t8,Aston martin db4 gt zagato\r\n/m/041bc6,Gyōji\r\n/m/041bg5,Mercedes-benz sprinter\r\n/m/041bn2,Renault vel satis\r\n/m/041cw6,Angel's trumpets\r\n/m/041d65,Vovinam\r\n/m/041fdh,Chonmage\r\n/m/04_1j33,Cranberry juice\r\n/m/04_1jmn,Surf kayaking\r\n/m/041j_x,Grain whisky\r\n/m/041kzs,Biceps curl\r\n/m/041lfl,Bmw m6\r\n/m/041m0n,Pommes anna\r\n/m/041mtg,Efini ms-8\r\n/m/041mw7,Mazda cronos\r\n/m/041n31,Autozam revue\r\n/m/041n5x,Autozam az-1\r\n/m/041n9h,Mazda az-offroad\r\n/m/041pbb,Memo\r\n/m/04_1pjj,Pininfarina b0\r\n/m/041q5g,Windsports\r\n/m/041r19,Jacuzzi\r\n/m/041rqm,Santa matilde\r\n/m/041st8,Karasumi\r\n/m/041_sy,Trachemys\r\n/m/041tkb,Berberis\r\n/m/041tpy,Mazda6\r\n/m/041tzx,Mazda persona\r\n/m/041v3r,May wine\r\n/m/041vj3,Bicycle lighting\r\n/m/041wmv,Lamnidae\r\n/m/041x0c,Mazda sentia\r\n/m/041x_j,Restroom\r\n/m/041yv8,Lathyrus sativus\r\n/m/0420v5,Punching bag\r\n/m/04214mr,Dulcitar\r\n/m/04218gt,Cocido madrileño\r\n/m/0421h8,Suzuki swift\r\n/m/0421r3r,Green pufferfish\r\n/m/0421rd6,Burn\r\n/m/042297,Chevrolet sprint\n/m/04229,Jet engine\r\n/m/04229l,Geo metro\r\n/m/0422m1,Bread and butter pudding\r\n/m/0423gr,Deep fryer\r\n/m/0423lt,Seat altea\r\n/m/0424tt,Farofa\r\n/m/0424v6,Seat 600\r\n/m/0425h3,Mazda titan\r\n/m/0425l8,Red velvet cake\r\n/m/0425lm,Mazda3\r\n/m/042664,Common persimmon\r\n/m/042bzc,Talbot samba\r\n/m/042c75,Rover 400 / 45\r\n/m/042c8x,Rover 600 series\r\n/m/042cgf,Rover cityrover\r\n/m/042ck,Japanese cuisine\r\n/m/042fmw,Shinto shrine\r\n/m/042g2h,Old-growth forest\r\n/m/042g2v,Honda legend\r\n/m/042k1q,Rover sd1\r\n/m/042l_r,Pilotfish\r\n/m/042lv8,Welsh onion\r\n/m/042n_j,Mercury lynx\r\n/m/042p46,Ilex vomitoria\r\n/m/042pcv,Triumph toledo\r\n/m/042pdj,Triumph 1300\r\n/m/04_2qtd,Mountaineer\r\n/m/042rdg,Penuche\r\n/m/042rdt,Maruti esteem\n/m/042rg5,Tata safari\r\n/m/042rtz,Mazda savanna\r\n/m/042rz,Jetsprint\r\n/m/042spm,Whitebait\r\n/m/042t48,Land rover 101 forward control\r\n/m/042v_gx,Acoustic guitar\r\n/m/042w40,Zhaleika\r\n/m/042wcm,Quenelle\r\n/m/042x3v,Potter's wheel\r\n/m/042xnr,Saveloy\r\n/m/042yb1,Holacanthus\r\n/m/0430rm,Volvo ycc\r\n/m/0431y2,Aero boero ab-95\r\n/m/0432dw,Navratri\r\n/m/0432rz,Anklet\r\n/m/043384,Hacksaw\r\n/m/043520,Scrap\r\n/m/0435p8,Flaming doctor pepper\r\n/m/0436xv,Cranachan\r\n/m/04371y,Kangal dog\r\n/m/04373q,Sphecidae\r\n/m/04377b,Bresaola\r\n/m/0437y,Javelin throw\r\n/m/0438n2,Jheri curl\r\n/m/04392_,Pontederia\r\n/m/0439qp,Rusk\r\n/m/043b0s,Persian lime\r\n/m/043fg0,Ford tempo\r\n/m/043fnn,Eriobotrya\r\n/m/043g5f,Fuel tank\r\n/m/043jgq,Mille-feuille\r\n/m/043js4_,Kiribath\r\n/m/043k535,Toyota starlet glanza\r\n/m/043k931,Suit actor\r\n/m/043kcbz,Jereed\n/m/043khyh,Phoebus Parnassian\r\n/m/043kkf8,Baseball uniform\r\n/m/043kmjx,Ear pull\r\n/m/043kqcj,Cytinus\r\n/m/043kslj,Nissan cedric y31\r\n/m/043lfs6,Ukrainian levkoy\r\n/m/043lk88,European michaelmas daisy\r\n/m/043lkbp,Aster tongolensis\r\n/m/043mfh5,Gachas\r\n/m/043mqr2,Ford 999\r\n/m/043mx9l,Peugeot type 3\r\n/m/043n0wp,Jingisukan\r\n/m/043n3y_,Raspberry vinegar\r\n/m/043ndq,Tomato paste\r\n/m/043nklx,Oil pump\r\n/m/043nmvd,Biscuit roll\r\n/m/043nr9z,Mate cocido\r\n/m/043nrcb,Wild peony\r\n/m/043nrpn,Earthstar\r\n/m/043nyj,Common fig\r\n/m/043p1mn,Underground lake\r\n/m/043p44,Tsuchinoko\r\n/m/043p8g9,Dock jumping\r\n/m/043q7_3,Ramazzotti\r\n/m/043qx8p,Ghugni\r\n/m/043qy_b,Pionono\r\n/m/043r0_s,Venturi atlantique\r\n/m/043r3zv,White stonecrop\r\n/m/043r4p5,Pacific Gopher Snake\r\n/m/043rf9,New england aster\r\n/m/043rrh1,Jaguar 420\r\n/m/043rs51,Garden loosestrife\r\n/m/043rvww,Geographical feature\r\n/m/043rxy0,Relocation\r\n/m/043s21r,Mishloach manot\r\n/m/043s44s,Sharptail Snake\r\n/m/043s9fk,Geography cone\r\n/m/043sfr1,Hairfinned silverfish\r\n/m/043tvhw,Perfumer\r\n/m/043tvj,Suzuki alto\r\n/m/043tx8h,Paddlewheel\r\n/m/043ty0w,Tostones\r\n/m/043tzlr,Caravan\r\n/m/043vnw,Slender blind snake\r\n/m/043whf,Gmc typhoon\r\n/m/043wj3,Gmc syclone\r\n/m/043y0g,Deep-fried mars bar\r\n/m/043zsw,Curious\r\n/m/0440zs,Cocktail shaker\r\n/m/0441k,Jackal\r\n/m/04442z,Isuzu axiom\r\n/m/0445xnb,Mini clubman\n/m/0445yr,Sun drop\r\n/m/0446b_4,Kidney beans\r\n/m/0446b_g,Navy beans\r\n/m/0446bxx,Alfalfa sprouts\r\n/m/0446by4,Bean sprouts\r\n/m/0446byb,Beet greens\r\n/m/0446c0l,Iceburg lettuce\r\n/m/0446c0s,Red leaf lettuce\r\n/m/0447sh,Bialy\r\n/m/044_87,Output device\r\n/m/044987,Maha shivaratri\r\n/m/0449p,Jaguar\r\n/m/0449s4,Krishna janmashtami\r\n/m/044b1l,Elephant garlic\r\n/m/044_b2,Taramasalata\r\n/m/044b96,Nissan sentra\r\n/m/044bs7,Lava dome\r\n/m/044d99,Italian beef\r\n/m/044dll,Knish\r\n/m/044dt_,Challah\r\n/m/044dzb,Tetragonia\r\n/m/044fq,Joystick\r\n/m/044g2w,Cycle ball\r\n/m/044gvx,Beer bottle\r\n/m/044hqj,Hot plate\r\n/m/044j00,Air freshener\r\n/m/044jlv,Opel rekord\r\n/m/044jp1,Mustard\r\n/m/044k5d,Unicum\r\n/m/044l90,Marching percussion\r\n/m/044lwh,Irish water spaniel\r\n/m/044p4l,Baptistery\r\n/m/044r5d,Golf ball\r\n/m/044rym,Waxworm\r\n/m/044s57,Xanthorrhoeaceae\r\n/m/044wnf,Ham hock\r\n/m/044y5x,Chevrolet beretta\r\n/m/044ztw,Thavil\r\n/m/0450_0,Ilex verticillataAmerican Winterberry\r\n/m/045018,Devilled kidneys\r\n/m/0452kk,Chewing tobacco\r\n/m/0452t7,Citroën c6\r\n/m/04535f,Hamburger helper\r\n/m/04574_,Fritter\r\n/m/0457gc6,Material property\r\n/m/0457kk,Holden nova\r\n/m/0458f9,Pickled pigs feet\r\n/m/0458g0,Rolls-royce silver cloud\r\n/m/0459cm,Chevrolet trailblazer\r\n/m/0459p2,Chevrolet tracker\r\n/m/0459pf,Geo prizm\r\n/m/0459ps,Geo storm\r\n/m/0459r6,Chevrolet chevy ii / nova\r\n/m/0459vc,Cretoxyrhina\r\n/m/045ckd,Garba\r\n/m/045ct5,Milanesa\r\n/m/045d4r,Nilgiri tea\r\n/m/045dkn,Bread machine\r\n/m/045dxv,Onion ring\r\n/m/045fbf,Schmaltz\r\n/m/045g3j,Tzimmes\r\n/m/045g9j,Sileighty\r\n/m/04_5hy,Stage\r\n/m/045j61,Parlour maple\r\n/m/045jsc,Minibus\r\n/m/045kc6,Toaster oven\r\n/m/045l6d,Oldsmobile hurst/olds\r\n/m/045lcs,Chien français blanc et noir\r\n/m/045m16,Mill\r\n/m/045_n7,Bell x-22\r\n/m/045nmg,Nissan prairie\r\n/m/045p8f9,Suzuki reno\r\n/m/045pmb,Yenko camaro\r\n/m/045q_4,Ferrari f355\r\n/m/045qt3,Dahi vada\r\n/m/045rjd,Frill-necked lizard\r\n/m/045rjzg,Maserati 228\n/m/045s2g,High five\r\n/m/04_5sg,Hill\r\n/m/045sm4,Deep-submergence vehicle\r\n/m/045sr1,Mazda navajo\r\n/m/045t93,Blue-tongued skink\r\n/m/045tty,Japanese chin\r\n/m/045v5x,Calochortus\r\n/m/045_wd,Ford territory\r\n/m/045wmml,Maserati spyder\r\n/m/045yy4,Vauxhall carlton\r\n/m/046_0n,Ford model n\r\n/m/0461ch,Orangery\r\n/m/0462dy3,Sikorsky s-52\r\n/m/0462k2c,Packard panther\r\n/m/0462w2b,Maniçoba\r\n/m/0462w3c,Guk\r\n/m/0462z4,Holden kingswood\r\n/m/0462zh,Street football\r\n/m/04630sc,Kite skating\r\n/m/04638wp,Jatjuk\r\n/m/0463cq4,Crying\r\n/m/0463lgf,Peugeot quadrilette\r\n/m/0463nlw,West Indian raspberry \r\n/m/0463p_g,Lekach\r\n/m/0463_qk,Beyaz peynir\r\n/m/0463sg,Fashion accessory\r\n/m/0463tkw,Prairie senna\r\n/m/0463z5r,Hiyashi chūka\r\n/m/0463zks,Gavvalu\r\n/m/04648r9,Copper tape\r\n/m/0464bv,Volcanic arc\r\n/m/0464dzv,Browallia speciosa\r\n/m/0464j78,Ferrari california\r\n/m/0464r0r,Hwachae\r\n/m/0464z4,Pack animal\r\n/m/04651v3,Baesuk\r\n/m/04652g,Oldsmobile cutlass ciera\r\n/m/04652t,Oldsmobile cutlass calais\r\n/m/04653xg,Tvr typhon\r\n/m/0465f95,Fleischschnacka\r\n/m/0465fs_,Chenpi\r\n/m/0465khx,Peychaud's bitters\r\n/m/0465mr4,Frozen dessert\r\n/m/04663p5,Peugeot type 105\n/m/0466k7_,Fender g-dec\r\n/m/0466kx,Off-road racing\r\n/m/0466lfh,Corgi-chihuahua\r\n/m/0466px8,Hunting knife\r\n/m/0466qg8,Toyota corolla e90\r\n/m/0466qgn,Toyota corolla e100\r\n/m/0466qh0,Toyota corolla e140\r\n/m/0466qhd,Toyota corolla e120\r\n/m/0466qhs,Toyota corolla e110\r\n/m/0466rf8,Gosht\r\n/m/0466s58,Wireless router\r\n/m/0466sfx,Ford focus rs\n/m/0467y7,Passenger car\r\n/m/0468bb1,Dogfish head 90 minute ipa\r\n/m/046b30,Salisbury steak\r\n/m/046cyh,Mazda roadpacer ap\r\n/m/046d6kv,Bunnahabhain 12 year old\r\n/m/046d80l,Mini\r\n/m/046d8_l,Radio-controlled toy\r\n/m/046dlr,Alarm clock\r\n/m/046dt1,Sill\r\n/m/046dzc,Dulcian\r\n/m/046fv7,Jeep grand cherokee\r\n/m/046g7s,Arba'een\r\n/m/046glt,Electrical wiring\r\n/m/046gsrg,Booker's\r\n/m/046hkv,Convoy rescue ship\r\n/m/046hzh,Chivas regal\r\n/m/046j38,Streetball\r\n/m/046j6d,Intrusion\r\n/m/046jml,Cortado\r\n/m/046l_2,River gunboat\r\n/m/046_ng,Ford model tt\r\n/m/046njy,Subaru leone\r\n/m/046pg5,Antlions\r\n/m/046qw0,Ford pilot\r\n/m/046qxzf,Speyburn 10 year old\r\n/m/046r8t,Ford squire\r\n/m/046_rf,Estfield\r\n/m/046rsf,Poffertjes\r\n/m/046ry,Java coffee\r\n/m/046tgk,Shower curtain\r\n/m/046yyx,Peugeot 607\r\n/m/046zc_,Ford 7y\r\n/m/046zxb,Ford model f\r\n/m/0470gy,Greengage\r\n/m/047_15,Triumph gt6\r\n/m/04747g,Miller lite\r\n/m/0475mb,Agricultural machinery\r\n/m/0476dz,Solomon's seal\r\n/m/047735,Weather ship\r\n/m/0477n,Jell-o\r\n/m/0477z0,Cadillac calais\r\n/m/0478zf2,Packard mayfair\n/m/047951,National university\r\n/m/047953l,Schweizer sgs 2-32\r\n/m/0479b6j,New zealand spinach\r\n/m/0479sy,Buffaloberries\r\n/m/047b1hs,Kauffman vodka\r\n/m/047b87_,Small greek domestic dog\r\n/m/047b9vj,Gps navigation device\r\n/m/047bl,Koto\r\n/m/047bp8z,Techart 997 carrera\r\n/m/047bq7,Grey alder\r\n/m/047bst,American walnut\r\n/m/047c067,Techart 997 turbo\r\n/m/047c0hj,Galbijjim\r\n/m/047c4vd,Agujjim\r\n/m/047cmpg,Oldsmobile jetstar 1\r\n/m/047_c_,Rocking chair\r\n/m/047ctp,Alligator snapping turtle\r\n/m/047d0sh,Instant-boiled mutton\r\n/m/047dblp,Cincalok\r\n/m/047dzxq,Common Kingsnake\r\n/m/047f1r3,Crosswort\r\n/m/047f4s1,Dal baati\r\n/m/047f7lt,Coconut candy\r\n/m/047f97d,Citroën c-sportlounge\r\n/m/047fg94,Feral goat\r\n/m/047f_k9,Mercedes-benz 500k\r\n/m/047fr,Knitting\r\n/m/047fw5r,Singapore-style noodles\r\n/m/047fyt8,Bianzhong\r\n/m/047g7xd,Power trowel\r\n/m/047g84,Guard dog\r\n/m/047gchx,Crabapple\r\n/m/047gn89,Throwing knife\r\n/m/047gncp,Toyota corolla\r\n/m/047gnd1,Toyota corolla e70\r\n/m/047gndf,Toyota corolla e10\r\n/m/047gnf5,Toyota corolla e80\r\n/m/047gnst,Roewe 750\r\n/m/047gp_j,Toyota crown comfort\r\n/m/047gq2x,Brilliance bs6\r\n/m/047ht1,Pickaxe\r\n/m/047j0r,Filing cabinet\r\n/m/047j51,Verbena\r\n/m/047jt7,Triumph 2000\r\n/m/047kbm,Salt-cured meat\r\n/m/047kmy,Dental technician\r\n/m/047lf6,Oleaster\r\n/m/047lggt,Boeing 737 next generation\r\n/m/047ln1,Buick reatta\r\n/m/047lngt,Scacciata\r\n/m/047lq67,Lagonda rapier\r\n/m/047m15j,Daihatsu naked\r\n/m/047mchz,Tatra 75\r\n/m/047md3,Oldsmobile omega\r\n/m/047mdg,Pontiac phoenix\r\n/m/047mgty,Ford fg falcon\r\n/m/047mhnd,Humber pullman\r\n/m/047mn93,Tatra 57\r\n/m/047mntv,Pagliata\n/m/047mr6,Prosecco\r\n/m/047n2t,Buick estate\r\n/m/047n4k,Oldsmobile custom cruiser\r\n/m/047n4x,Buick roadmaster\r\n/m/047n541,Cani cross\r\n/m/047n6p,Cadillac brougham\r\n/m/047nbwv,Toyota carina ed\r\n/m/047nk43,Lada priora\r\n/m/047np3m,Puya alpestris\r\n/m/047nr3w,Sliding door\r\n/m/047ntt_,Bánh lá\n/m/047ny8f,Volkswagen golf cabriolet\r\n/m/047p240,Wirehaired vizsla\r\n/m/047p2z4,Bandini 750 sport siluro\r\n/m/047p39q,Freekeh\r\n/m/047p51s,Hillman 14\r\n/m/047p8qy,Steak frites\r\n/m/047ptj,Mitsubishi lancer\r\n/m/047px2,Mitsubishi colt\r\n/m/047q1lg,Tvr tasmin\r\n/m/047q30j,Eco hotel\r\n/m/047qbxr,Khichra\r\n/m/047qgj7,Field thistle\r\n/m/047qk83,Volkswagen golf variant\r\n/m/047qlks,Rice cereal\r\n/m/047qy3x,Yellow lady's slipper\r\n/m/047r3mv,Casaurina glauca\r\n/m/047r8ng,Honda freed\r\n/m/047r8z3,Austin 12/4\r\n/m/047rdc3,Boat trailer\r\n/m/047rk4d,Hygenhund\r\n/m/047rrj7,Tvr 390se\r\n/m/047rtk,Scroll\r\n/m/047rwq3,Centrepiece\r\n/m/047rybc,Tatra 54\r\n/m/047s3qk,Tvr 420 seac\r\n/m/047s5lq,Alvis tf 21\r\n/m/047s86y,Taralli\r\n/m/047ss52,Old tom gin\r\n/m/047ssgc,Kuwaiti passport\r\n/m/047syx_,Xôi\r\n/m/047t1t5,Boule lyonnaise\r\n/m/047t2p7,Vodka cruiser\r\n/m/047t75n,Austin 12/6\r\n/m/047t99,Sauerbraten\r\n/m/047tfbr,Napoleon iii style\r\n/m/047tt_4,Mal-shi\r\n/m/047ty6m,Toyota corona exiv\r\n/m/047tz_,Land cress\r\n/m/047v00,Blitum bonus-henricus\r\n/m/047v0f,Stachys affinis\r\n/m/047v0x2,Ford gt70\r\n/m/047v4b,Artichoke\r\n/m/047vl80,Whipped cream\r\n/m/047vlmn,Outerwear\r\n/m/047vlsj,Peugeot 401\r\n/m/047vlsx,Peugeot 4002\r\n/m/047vmbx,Mittens\r\n/m/047vmg8,Rim\r\n/m/047vnzn,Pastizz\r\n/m/047vph4,Divemaster\r\n/m/047x57,Construction worker\r\n/m/047y65,Lotus exige\r\n/m/04_80t,Sockeye salmon\r\n/m/0486tv,Freestyle wrestling\r\n/m/0488wh,Literary fiction\r\n/m/048b5w,Spumoni\r\n/m/048bjj,Spiedie\r\n/m/048blr,Mazda xedos 6\r\n/m/048dyx,Motorcycle boot\r\n/m/048dz,Karate\r\n/m/048fg,Kickboxing\r\n/m/048gs7,Vegetable juice\r\n/m/048h8p,Cornhole\r\n/m/048knlz,Love\r\n/m/048lks,Candy apple\r\n/m/048lz1,Cufflink\r\n/m/048mgd,Honda ridgeline\r\n/m/048nfp,Polar ice cap\r\n/m/048pn4,Turtle ship\r\n/m/048v8j,Plate lunch\r\n/m/048vr,Korean food\r\n/m/048wpb,Galbi\r\n/m/048wsd,Gimbap\r\n/m/048yh,Krav maga\r\n/m/048ypz,Tree frog\r\n/m/048ytx,Russian pyramid\r\n/m/0490jd,Art exhibition\r\n/m/0490lp,Czernina\r\n/m/04929g,Wrangler\r\n/m/0492f,Kora\r\n/m/0492nq,Cat food\r\n/m/049_3v,Yard\r\n/m/04943c,Pradal serey\r\n/m/04945,Korfball\r\n/m/04969,Kick\r\n/m/0496y8,Heteromeles\r\n/m/0497z6,Stoolball\n/m/04983s,Toilet roll holder\r\n/m/049bbv,Datsun sports\r\n/m/049btd,Technician\r\n/m/049d8b,Computer case\r\n/m/049dgp,Pipe cleaner\r\n/m/049dpf,Ojos azules\r\n/m/049f4m,Lefse\r\n/m/049_fc,Love in the mist\r\n/m/04_9g,Labour day\r\n/m/049h0m,Fishing net\r\n/m/049hrv,Clyde puffer\r\n/m/049jr6,American pit bull terrier\r\n/m/049kc,Kimono\r\n/m/049lwx,Barefoot\r\n/m/049lyh,Isuzu piazza\r\n/m/049m33,Isuzu gemini\r\n/m/049m95,Lecythidaceae\r\n/m/049mfx,Full-rigged ship\r\n/m/049n8w,Triumph 1500\r\n/m/049nzn,Pzl p.24\r\n/m/049p4v,Dacia logan\r\n/m/049pcz,Masking tape\r\n/m/049pk5,Dukw\r\n/m/049pn0,Buick gran sport\r\n/m/049psw,Buick park avenue\r\n/m/049qbg,Spring roll\r\n/m/049rd,Knight\r\n/m/049rlt,Buick lesabre\r\n/m/04_9s6,Bentley continental flying spur\r\n/m/049sv,Kung fu\r\n/m/049txw,Buddha's delight\r\n/m/049vf_,Point-and-shoot camera\r\n/m/049wwj,Highball glass\r\n/m/049_wy,Peaked cap\r\n/m/049zwb,Pisco sour\r\n/m/04b0s,Kabaddi\r\n/m/04b34m,Devil's claw\r\n/m/04b75v,Neck brace\r\n/m/04b7gf,Extension cord\r\n/m/04b7wk,Tooth bleaching\r\n/m/04b8m_,Cunoniaceae\r\n/m/04b966,Ice cap\r\n/m/04b96_,Door knocker\r\n/m/04_bbx,Pain au chocolat\r\n/m/04bcff,Goji\r\n/m/04bcr3,Table\r\n/m/04bct1,Chest\r\n/m/04bd85,Volvo v70\r\n/m/04bd8l,Volvo s70\r\n/m/04bds9,Davul\r\n/m/04bf81,Rissole\r\n/m/04bg3r,Waterbuck\r\n/m/04bh7b,Stollen\r\n/m/04bhvm,German chocolate cake\r\n/m/04bk6,Kohlrabi\r\n/m/04bkg6,E-book readers\r\n/m/04bksl,Portafilter\r\n/m/04blfc,Echeveria\r\n/m/04blr,Knot\r\n/m/04bmfj,Reel\r\n/m/04bmk,Killer whale\r\n/m/04bmvy,Polygalaceae\r\n/m/04bnrq,Peugeot 404\r\n/m/04brg2,Tableware\r\n/m/04brsc,Melt sandwich\r\n/m/04_bsf,Wheelie\r\n/m/04bsrn,Tsampa\r\n/m/04bstj,Popiah\r\n/m/04bt6,Giant protea\r\n/m/04bv19,Kvm switch\r\n/m/04bv1,Kumquat\r\n/m/04bv5_,Haleem\r\n/m/04bvwh,Doorstop\r\n/m/04bvzm,Ballroom\r\n/m/04bwd,Kaleidoscope\r\n/m/04bx2_,Rambak petis\r\n/m/04bxc,Mountain laurel\r\n/m/04_by9h,Garlic scape\r\n/m/04bzth,Artificial turf\r\n/m/04c04r,Ball-peen hammer\r\n/m/04c0lt,Rolling\r\n/m/04c_0y,Football tennis\r\n/m/04c0y,Kangaroo\r\n/m/04c2cp,Dispatcher\r\n/m/04c2h8,Rake\r\n/m/04c2tr,Suzuki x-90\r\n/m/04c2xr,Daihatsu charade\r\n/m/04c322,Daihatsu rocky\r\n/m/04c38s,Daisy\r\n/m/04c3xq,Lazuli Bunting\r\n/m/04c41_,European shorthair\r\n/m/04c5p,Karaoke\r\n/m/04c68z,Proa\r\n/m/04c92t,Hardhack\r\n/m/04c9r,Kendo\r\n/m/04c9vm,Capicola\r\n/m/04cckt,Gerbera\r\n/m/04cdd0q,Pontiac g3\r\n/m/04c_gg,Nissan laurel\r\n/m/04ch_1,Jeep liberty\r\n/m/04c_h6,Nissan teana\r\n/m/04cj8v,Jeep comanche\r\n/m/04cjrw,Jeep wagoneer\r\n/m/04cjy5,Jeep gladiator\r\n/m/04cjz6,Jeep honcho\r\n/m/04ckn,Kahlúa\r\n/m/04c_l3,Nissan pulsar\r\n/m/04c_mj,Mitsubishi pajero mini\r\n/m/04cmwn,Goats\r\n/m/04cn_l,Automotive battery\r\n/m/04cnqy,Sea lettuce\r\n/m/04cnwn,Tow truck\r\n/m/04cp_,Koala\r\n/m/04cqlf9,Janchi guksu\r\n/m/04cqn6,Clapstick\r\n/m/04cr4qc,Ssam\r\n/m/04crvdv,Threebanded sheephead\r\n/m/04crw6w,Porsche 911 classic\r\n/m/04cs9zc,Planter's punch\r\n/m/04csgnm,Dacia 1325\r\n/m/04ct4,Kipper\r\n/m/04ct4y,Triumph herald\r\n/m/04cttjf,Mp lafer\r\n/m/04ctx,Knife\r\n/m/04cv13l,Pinangat\r\n/m/04cv2hz,Wall plate\r\n/m/04cvf40,Gulaman\r\n/m/04cvgx,Mop\r\n/m/04cvjcd,Rain and snow mixed\r\n/m/04cvmfc,Roar\r\n/m/04cvvd7,Kei truck\r\n/m/04cw72z,Bossam\r\n/m/04cw7xd,Acronicta americana\r\n/m/04cw9j_,Gocciole\r\n/m/04cwbyx,Euryops pectinatus\r\n/m/04cwhv_,Bouvier des ardennes\r\n/m/04cwm2,Arbroath smokie\r\n/m/04cx27,White footed mice\r\n/m/04cx6sm,Swellfish\r\n/m/04cx7kx,Wheelstand competition\r\n/m/04cx7w5,Toyota cresta\r\n/m/04cxfh6,Alvis td 21\r\n/m/04cxk82,Montasio\r\n/m/04cxnvd,King shepherd\r\n/m/04cxt1z,Sandpaper fig\r\n/m/04cxygx,Coral aloe\r\n/m/04cy0,Kiosk\r\n/m/04cy0z_,Evergreen rose\r\n/m/04cy4vd,Dacia 1320\r\n/m/04cy9j2,Hafei ruiyi\r\n/m/04cydjb,Mucuchies\r\n/m/04cykm_,Potentiometer\r\n/m/04cylkl,Tesla model s\r\n/m/04cylv5,Oyaki\r\n/m/04cym9,Banana bread\r\n/m/04cyw33,Agricultural drainage system\r\n/m/04cywf2,Nissan largo\r\n/m/04cyyh3,Galão\r\n/m/04cz4b,Suzuki aerio\r\n/m/04czc4w,Mizuna\r\n/m/04czcym,Antipasto\r\n/m/04czfcc,Bologna sandwich\r\n/m/04czfz3,Survey vessel\r\n/m/04czj7,Daihatsu mira\r\n/m/04czkc,Suzuki cappuccino\r\n/m/04czl3,Daihatsu copen\r\n/m/04cznb,Daihatsu fellow max\r\n/m/04czpg,Daihatsu move\r\n/m/04czpv,Daihatsu boon\r\n/m/04czq7,Daihatsu terios\r\n/m/04czqz,Daihatsu yrv\r\n/m/04d01f,Amber\r\n/m/04d0gf,Pimm's\r\n/m/04d1p3,Shawl\r\n/m/04d__1z,Fishing bait\r\n/m/04d24t,Spectacled bear\r\n/m/04d3dd,Sunbeam alpine\r\n/m/04d3f2,Sunbeam tiger\r\n/m/04d3vm,Cobbler\r\n/m/04d3z4,Upset\r\n/m/04d4tf,Kugel\r\n/m/04d_5yf,Native gooseberry\r\n/m/04d6k,Kilt\r\n/m/04d6rc,Steam car\r\n/m/04d7c5,Daihatsu compagno\r\n/m/04d7l0,Barbary sheep\r\n/m/04d89p,Powerbocking\r\n/m/04d8s2,Char kway teow\r\n/m/04d914,Race of champions\r\n/m/04d9n9,Chrysler sunbeam\r\n/m/04d9qs,Hillman husky\r\n/m/04d9rh,Sunbeam rapier\r\n/m/04db3_,Bugles\r\n/m/04dbx5,Pontiac torrent\r\n/m/04db_z,Psychedelic art\r\n/m/04dc47,Chevrolet monte carlo\r\n/m/04dcp6,Hainanese chicken rice\r\n/m/04dct7,Hokkien mee\r\n/m/04d_gpy,Rum swizzle\r\n/m/04d_gxg,Creamer potato\n/m/04dhkw,Willys jeep truck\r\n/m/04dj14,Pickerel\r\n/m/04dkyl,Hyundai elantra\r\n/m/04dkzb,Bak kut teh\r\n/m/04dl0k,Cabbage roll\r\n/m/04d_lqn,Native raspberry\r\n/m/04dly4,Sambo (martial art)\r\n/m/04dm6,Komondor\r\n/m/04dm_l,Seat toledo\r\n/m/04dmm,Keeshond\r\n/m/04dmqd,Runza food\r\n/m/04dn5x,Isuzu ascender\r\n/m/04dpf8,Wiffle ball\r\n/m/04dqbsl,Coopers brewery sparkling ale\r\n/m/04dqc8k,Anchor brewery liberty ale\r\n/m/04dqfwx,Lagunitas ipa\r\n/m/04dqhxh,Black sheep ale\r\n/m/04dqkys,Murphy's irish stout\r\n/m/04dqn2f,Fuller's london pride\r\n/m/04dqnz,Dubreq stylophone\r\n/m/04dqp1q,Doom bar\r\n/m/04dqq92,Rogue dead guy ale\r\n/m/04dqqng,Coopers brewery original pale ale\r\n/m/04dr76w,Bottle\r\n/m/04ds08,Clamato\r\n/m/04dsyb,Ferrari 308 gtb/gts\r\n/m/04dtsk,Ferrari 275\r\n/m/04dty4,Ferrari daytona\r\n/m/04dvgq,Bmw m5\r\n/m/04dw6l,Grinding machine\r\n/m/04dw8c,Angle grinder\r\n/m/04dw9s,Bench grinder\r\n/m/04dxkl,Ford puma\r\n/m/04dy6qj,Concert hall\r\n/m/04dyf_,Ferrari 348\r\n/m/04dyxyl,Guardians of the galaxy\r\n/m/04dyzmx,Kozhukkattai\r\n/m/04dz2sf,Chocalho\r\n/m/04dz31,Poodle crossbreed\r\n/m/04dzdpc,Underwater sports\r\n/m/04dzlp6,Lotus evora\r\n/m/04dzzn,Neapolitan mastiff\r\n/m/04f006,Damson\r\n/m/04f05j1,Volkswagen transporter t5\r\n/m/04f0wck,Chalk line\r\n/m/04f103,Triumph vitesse\r\n/m/04f1c57,Manilkara kauki\r\n/m/04f_1fd,Ats 2500 gt\r\n/m/04f1h46,Cosmos caudatus\r\n/m/04f1n_,Bmw 3 series compact\r\n/m/04f1wbm,Silver spotted Skipper\r\n/m/04f1y02,Subaru 1500\r\n/m/04f20t,Digital SLR\r\n/m/04f2y36,Longhaired whippet\r\n/m/04f2yc,Anatolian shepherd dog\r\n/m/04f32c6,Falling\r\n/m/04f393c,Yellow plum\r\n/m/04f3wr1,Billardiera longiflora\r\n/m/04f44c,Foal\r\n/m/04f44q4,Concrete grinder\r\n/m/04f4987,Cedar bay cherry\r\n/m/04f4mp,Ferrari mondial\r\n/m/04f4_n,Ferrari gt4\r\n/m/04f4p2b,Keglevich\r\n/m/04f4xh,Ferrari 400\r\n/m/04f5n6c,Medlar\r\n/m/04f5tg6,Mitsubishi racing lancer\r\n/m/04f5ws,Bottle opener\r\n/m/04f5xvy,Brilliance bs4\r\n/m/04f62z,Cobalt blue\r\n/m/04f693k,Karkalla\r\n/m/04f6b4c,Geranium macrorrhizum\r\n/m/04f6c0g,Carpobrotus glaucescens\r\n/m/04f6_dv,Humber sceptre\r\n/m/04f6k_,Mapp gas\r\n/m/04f6rz,Turquoise\r\n/m/04f6yjq,Vanessa cardui\r\n/m/04f6ylz,Minke Whale\r\n/m/04f73kr,Krating daeng\r\n/m/04f73yc,Pouf\r\n/m/04f74b3,Tree frog\r\n/m/04f759m,Selling\r\n/m/04f76q7,Chevrolet cruze\r\n/m/04f78yw,Mitsubishi colt 800\r\n/m/04f78z7,Mitsubishi colt 1000\r\n/m/04f79,Komodo dragon\r\n/m/04f7bs,Khaki\r\n/m/04f85,Kiwi\r\n/m/04f8p,Kiwifruit\r\n/m/04f8vf,Ferrari 550\r\n/m/04f9kr,Dodge power wagon\r\n/m/04fb3h,Vanilla\r\n/m/04fc7t,Ferrari f40\r\n/m/04fdw,Kayak\r\n/m/04ffcj,Lilac\r\n/m/04ffss,Oleander\r\n/m/04ffvn,Presidential palace\r\n/m/04fh8w,Dondurma\r\n/m/04fjm,Kutia\r\n/m/04flxj,Linguine\r\n/m/04f_mx,Orange lily\r\n/m/04fn06,Mini moke\r\n/m/04fntbg,Canon ef 75-300mm f/4-5.6 iii\r\n/m/04fp11,Deviled egg\r\n/m/04fq8y,Squeezebox\r\n/m/04fr1,Kwanzaa\r\n/m/04frb4,Interactive kiosk\r\n/m/04f_s8x,Bánh ướt\r\n/m/04_fs,Muscle\r\n/m/04fvsn,Plymouth fury\r\n/m/04fxl7,Oatcake\r\n/m/04fyb1,Sirloin steak\r\n/m/04fyrw,Smooth Greensnake\r\n/m/04fznhq,Pig roast\r\n/m/04fzqk3,Toyota stout\r\n/m/04fzqn3,Nem rán\r\n/m/04fzvx,Cane corso\r\n/m/04g06r,Ferrari america\r\n/m/04g07,Koi\r\n/m/04g0dl5,Ammunition box\r\n/m/04g0lp,Apple strudel\r\n/m/04g0psr,Artic\r\n/m/04g0xc5,Marsh pea\r\n/m/04g132,Wonton\r\n/m/04g1_nd,Sopressa\r\n/m/04g1vt,Oldsmobile achieva\r\n/m/04g2277,Bánh hỏi\r\n/m/04g24hs,Alvis 12/70\r\n/m/04g2q0v,Toyota crown majesta\r\n/m/04g2r,Lynx\r\n/m/04g3r,Leisure\r\n/m/04g5h9,General motors autonomy\r\n/m/04g85h,Roadrunner\r\n/m/04g9jvx,Bmw 1600\r\n/m/04gbpqk,Vulnerable Native Breeds\r\n/m/04gc2,Lawyer\r\n/m/04gcl9,Receipt\r\n/m/04gcph,Honda ballade\r\n/m/04gdv9,Peanut oil\r\n/m/04gf49c,Restaurateur\r\n/m/04gg3x,Chess pie\r\n/m/04ggbny,Honda s360\r\n/m/04ggdwp,Merkur scorpio\r\n/m/04ggf3y,Lemon juice\r\n/m/04ggfp5,Celery salt\r\n/m/04ggh49,Bay\r\n/m/04ggxs6,Navarin\r\n/m/04ggyjg,Volkswagen golf mk6\r\n/m/04gh1,Laser\r\n/m/04gh6cp,Ecojet concept car\r\n/m/04ghpht,Renault ax\r\n/m/04ghpn8,Mephistofeles\r\n/m/04ghw9_,Western terrestrial garter snake\r\n/m/04ghz04,Tjotter\r\n/m/04gjckd,Douzhi\r\n/m/04gjp9,Air purifier\r\n/m/04gk0t2,Floats\r\n/m/04_gk1,Studebaker wagonaire\r\n/m/04gk8q2,Dowelmax\r\n/m/04gkb7l,Mami soup\r\n/m/04gkq7k,Great wall wingle\r\n/m/04glcg,Group b\r\n/m/04glcy7,Chả\r\n/m/04glm2w,Room divider\r\n/m/04glntw,Polvorón\r\n/m/04_glw,Wicker\r\n/m/04gmlfh,Matador\r\n/m/04gn0sr,Cassolette\r\n/m/04gndkr,Beamz\r\n/m/04gnk7m,Majorelle blue\r\n/m/04gp0m,Honda s600\r\n/m/04gp8k,English mastiff\r\n/m/04gpbn,Bmw m1\r\n/m/04gq_1b,Poularde albufera\r\n/m/04gq5q,Ferrari 166 s\r\n/m/04gq6b2,Trioceros\r\n/m/04gq6f,Spathoglottis\r\n/m/04gq9y,Ferrari 250\r\n/m/04gqk6r,Hangikjöt\r\n/m/04gqyd,Monkey-flower\r\n/m/04gr7sp,Lechazo\r\n/m/04grkh6,Majestic tree hound\r\n/m/04grkv,Honda pilot\r\n/m/04gs17,Mimosa\r\n/m/04gs4v2,Honda elysion\r\n/m/04gsr1y,Meller's chameleon\r\n/m/04gt040,Shower head\r\n/m/04gt7zd,Aston martin one-77\r\n/m/04gth,Lavender\r\n/m/04gt_,Lemon balm\r\n/m/04gty3_,Russian fist fighting\r\n/m/04gv79h,Headland\r\n/m/04gv7xd,Ford sierra rs cosworth\r\n/m/04gvd_,Compact fluorescent lamp\r\n/m/04gvhhy,Aeolian landform\r\n/m/04gvj1v,Scentless Plant Bugs\r\n/m/04gvjcg,Alvis firebird\n/m/04gvl56,Piquillo pepper\r\n/m/04gvlf,Subaru justy\r\n/m/04gvls_,Led display\r\n/m/04gvnx,Hedgehog cactus\r\n/m/04gvs3,Hojicha\r\n/m/04gvstg,Tobacco products\r\n/m/04gvz,Laurales\r\n/m/04gw61j,Halwa poori\r\n/m/04gw6fd,Turquoise ixia\r\n/m/04gwf,Lamiales\r\n/m/04_gwh,Ice Cream Sodas\r\n/m/04gxxd,Tonbak\r\n/m/04gxy,Letterboxing (hobby)\r\n/m/04gy9n,Coconut jam\r\n/m/04gyn6,Sea lamprey\r\n/m/04gyrq,Fiddler\r\n/m/04h0nh,Motor torpedo boat\r\n/m/04h123,Vision\r\n/m/04h1hs,Dvd recorder\r\n/m/04h1td,Scenographer\r\n/m/04h2xy,Daihatsu charmant\r\n/m/04h374,Auger\r\n/m/04h4qw,Garmon\r\n/m/04h4w,Lake\r\n/m/04h5c,Locomotive\r\n/m/04h7h,Lighthouse\r\n/m/04h812,Ika-renault torino\r\n/m/04h83m,Prayer rug\r\n/m/04h8h,Library\r\n/m/04h8sr,Dumbbell\r\n/m/04h9t2,Ice cream maker\r\n/m/04hcmb,Asam pedas\r\n/m/04hd6b,Rolls-royce silver seraph\r\n/m/04hdl_t,Botan shrimp\r\n/m/04hdlzd,Scampi shrimp\r\n/m/04hdlzk,Sea bass\r\n/m/04hfkm,Sultana\r\n/m/04hfxj,Langur\r\n/m/04hggr,Breadbox\r\n/m/04hgtk,Head\r\n/m/04hgv,Limestone\r\n/m/04hhtl,Leg press\r\n/m/04hjj1,Western Gull\r\n/m/04hjzq,Aleko\r\n/m/04hkqs,Bloody mary\r\n/m/04hmk8,Burrata\r\n/m/04hmvh,Riodinidae\r\n/m/04hnq0,Otak-otak\r\n/m/04hpv1,Honda cr-v\r\n/m/04hq57,Water police\r\n/m/04hqyd,Ford c-max\r\n/m/04hs_g,Maserati mc12\r\n/m/04hslr,Chub salmon\r\n/m/04hsvq,Shelby glhs\r\n/m/04hvjs,Kia picanto\r\n/m/04hw5g,Shelby lancer\r\n/m/04hwcg,Shelby csx\r\n/m/04hwhc,Shelby dakota\r\n/m/04hwn2,Shelby series 1\r\n/m/04hwsp,Shelby daytona\r\n/m/04hx4n,Austin 1800\r\n/m/04hx6d,Arctostaphylos uva-ursi\r\n/m/04hx8l,Bmc ado16\r\n/m/04hxml,Skyy vodka\r\n/m/04hy9z,Siberian ginseng\r\n/m/04hygk,Ranged weapon\r\n/m/04hyxm,Classroom\r\n/m/04j0q9,Taidō\r\n/m/04j192,Hummer h1\r\n/m/04j4_93,Bmw 2002ti\r\n/m/04j51t,Perch\r\n/m/04j5br,Chocolate liquor\r\n/m/04j5jl,Master of ceremonies\r\n/m/04j604,Tamarillo\r\n/m/04j69j,Gochujang\r\n/m/04j_72,Kobza\r\n/m/04_j7j,Chery a15\r\n/m/04j8v4,Pianet\r\n/m/04j9llv,Ford e83w\r\n/m/04jb5kd,Poppy seed roll\r\n/m/04jbw9,Corned beef pie\r\n/m/04jc26j,Shab-e baraat\r\n/m/04jcck7,Hound trailing\r\n/m/04jd50m,Rolls-royce phantom coupé\r\n/m/04jdf8q,Caquelon\r\n/m/04jdhxy,Superfood\r\n/m/04jdlgr,Sylva striker\r\n/m/04jdnw1,Rigó jancsi\r\n/m/04jdp4p,Podenco canario\r\n/m/04jdvkl,Pixie cut\r\n/m/04jf07z,Checkered White\r\n/m/04jf66j,Ford landau\r\n/m/04jfbzh,Honda torneo\r\n/m/04jfm_8,Seat cupra gt\r\n/m/04jfnc9,Klepon\r\n/m/04jg8f2,Toyota carina ii\r\n/m/04jg8m_,Fernleaf lavender\r\n/m/04jgrq,Concrete mixer\r\n/m/04jhvf6,Carpathian shepherd dog\r\n/m/04jhxc2,Meteor rideau\r\n/m/04jjh,Letter\r\n/m/04jkpd,Bridle\r\n/m/04jl4z5,Ventricina\r\n/m/04jldzm,Bia hơi\r\n/m/04jllxc,Southern Dogface\r\n/m/04jlmpt,Northern Breed Group\r\n/m/04jlw73,Korean mastiff\r\n/m/04jlwdm,Shining sumac\r\n/m/04jlz9f,Awadhi cuisine\r\n/m/04jm3h,Skins game\n/m/04jm_3,Ononis\r\n/m/04jm3v,Egg roll\r\n/m/04jmkzy,Suzuki landy\r\n/m/04jmqh,Chrysopogon zizanioides\r\n/m/04jmyrb,Garbure\r\n/m/04jnfqv,Paz-3205\r\n/m/04jng2,Nutraceutical\r\n/m/04jnpy3,Flower beetles\r\n/m/04jnq4b,Russo-european laika\r\n/m/04jph85,Street sign\r\n/m/04jph99,Mofongo\r\n/m/04jphh9,Clothes iron\r\n/m/04jpj9y,Fainting\r\n/m/04jpl1t,Honda fcx\r\n/m/04jpq51,Woodland sunflower\r\n/m/04jq0p,Ssangyong rodius\r\n/m/04jq15f,Tote bag\r\n/m/04_j_q,Scarlet beebalm\r\n/m/04js3k,Clyde steamer\r\n/m/04jtff,Saturn sky\r\n/m/04jtr6,Range rover sport\n/m/04jv11,Velouté sauce\r\n/m/04jw1r,Hot sauce\r\n/m/04jw9m,Stutz bearcat\r\n/m/04jz15,Olive ridley sea turtle\r\n/m/04k06f,Ssangyong rexton\r\n/m/04k1m8,Galium\r\n/m/04k1xv,Sweetscented bedstraw\r\n/m/04k291,Pastirma\r\n/m/04_k2c,Fiat seicento\r\n/m/04k42x,Wire stripper\r\n/m/04k53k,Night-flowering jasmine\r\n/m/04k58p,Volkswagen new beetle\r\n/m/04k_6h,Muridae\r\n/m/04k84,Light\r\n/m/04k91v,Madeleine\r\n/m/04k94,Liquid\r\n/m/04k9l1,Frock coat\r\n/m/04kc1b,Mcnab\r\n/m/04kc9z,Damiana\r\n/m/04kcy6,Fma ia 58 pucará\r\n/m/04kd4c,Rize tea\r\n/m/04kf42,Franklin tree\r\n/m/04kjl7,Slate\r\n/m/04kkgm,Bowl\r\n/m/04klfb,Meyer lemon\r\n/m/04kllm9,Pruritus\r\n/m/04knj_,Saganaki\r\n/m/04knps,Mineral lick\r\n/m/04kpwn7,Suet pudding\r\n/m/04kq01,Bombay mix\r\n/m/04kq44,Renault 8\r\n/m/04kq7y,Warble flies\r\n/m/04kr6b,Hyundai atos\r\n/m/04ks3y,Hyundai pony\r\n/m/04ks6s,Guernsey lily\r\n/m/04ksn72,C300 luxury 4matic\r\n/m/04ksn7g,C300 sport 4matic\r\n/m/04ksn7n,C300 luxury\r\n/m/04ksn7v,C300 sport\r\n/m/04kt83w,Minskin\r\n/m/04kwhq,Christmas ornament\r\n/m/04kyvc,Rum ball\r\n/m/04kzg8,Horned melon\r\n/m/04l0n,Longship\r\n/m/04l2h3,Toyota century\r\n/m/04l3lm,Shooting range\r\n/m/04l3v7,Yellow fir\r\n/m/04l4h_7,Vaudeville performer\r\n/m/04l5_5,Damper\r\n/m/04l5sb,Capuchin monkey\r\n/m/04l606,Balsam fir\r\n/m/04l75m,English pleasure\r\n/m/04l7r4,Tablet\r\n/m/04l83j,Squirrel monkey\r\n/m/04l8km,Green sunfish\r\n/m/04l9_b,Daifuku\r\n/m/04lbbc,Strength training\r\n/m/04lbpj,Toyota sienna\r\n/m/04lbp,Leather\r\n/m/04lbpx,Cadillac srx\r\n/m/04lbs0,Chrysler pt cruiser\r\n/m/04lbtv,Toyota previa\r\n/m/04lbvl,Mitsubishi mirage\r\n/m/04lbw_,Merkur xr4ti\r\n/m/04lc4,Lager\r\n/m/04lc_,Lubricant\r\n/m/04lcnby,Bolonka\r\n/m/04lcpq,Cessna 206\r\n/m/04ldfh1,Ferrari f430 challenge\r\n/m/04ldfj2,Tall cinquefoil\r\n/m/04ldlqt,Lava cave\r\n/m/04ldz,Llama\r\n/m/04lf2p0,Russkiy toy\r\n/m/04lf8j,Northern longear\r\n/m/04lfj3q,Toyota corolla levin and toyota sprinter trueno\r\n/m/04lfjcz,Dodge phoenix\r\n/m/04lfkd,Urn\r\n/m/04lflm5,Sporting lucas terrier\r\n/m/04lfm2_,Canteen\r\n/m/04lfsxz,Dak galbi\r\n/m/04lg3ld,Andong jjimdak\r\n/m/04lg800,Iveco massif\r\n/m/04lg9fw,Sayama tea\r\n/m/04lggtd,Majorette (dancer)\r\n/m/04lgn9d,Prince homer\r\n/m/04lgpy_,Lotus esprit gt1\r\n/m/04lgq,Lacrosse\r\n/m/04lh07b,Hippomobile\r\n/m/04lhg7s,Harvester\r\n/m/04lhh93,Amaro montenegro\r\n/m/04lhjs,Drilling rig\r\n/m/04lhk4,Crosscut saw\r\n/m/04lhn3,Rip saw\r\n/m/04lhq,Long jump\r\n/m/04lj4sd,Southern Comma\r\n/m/04ljfcr,Dutch smoushond\r\n/m/04ljt3,Common collared lizard\r\n/m/04ljzt6,Pyrenean mastiff\r\n/m/04ll60h,Posh bob\r\n/m/04__ll,Buttery\r\n/m/04llt9,Titi\r\n/m/04lmgjh,Gmc canyon\r\n/m/04lmyz,Horn\r\n/m/04lp85,Toyota cressida\r\n/m/04lp9p,Tea party\r\n/m/04lpch,Toyota t100\r\n/m/04lq2z,Amc hornet\r\n/m/04lqtzh,Volkswagen routan\n/m/04lrdk,Maserati quattroporte\r\n/m/04lrdz,Maserati coupé\r\n/m/04ls5j,Mexican pinyon\r\n/m/04lst9,Romanian cuisine\r\n/m/04lvq_,Humidifier\r\n/m/04lwkj,Two needle pinyon pine\r\n/m/04ly_9,Audi v8\r\n/m/04lzj7,Bottlebush\r\n/m/04lzmz,Strap\r\n/m/04lzsr,Dodge ram van\r\n/m/04m0bg,Sheep shearer\r\n/m/04m0tg,Footman\r\n/m/04m1gp,Opel movano\r\n/m/04m2w2,Bread pan\r\n/m/04m4bq,American staffordshire terrier\r\n/m/04m6gz,Porch\r\n/m/04m746,Eastern skunk cabbage\r\n/m/04m9y,Lizard\r\n/m/04mbd2,Peugeot 107\r\n/m/04mc2_,Bryndza\r\n/m/04mcf2,Chaise longue\r\n/m/04mffl,Tomato purée\r\n/m/04mg54,Crocosmia\r\n/m/04mgcx,Teddy roosevelt terrier\r\n/m/04mhks,Jagdterrier\r\n/m/04m_j9k,Northern redbelly snake\r\n/m/04mk4p,Stockfish\r\n/m/04mk6k,Iai lavi\r\n/m/04mkbj,Maroon\r\n/m/04mknf,Nissan tiida\r\n/m/04mkqn,Alfa romeo arna\r\n/m/04mkvz,Alfa romeo alfasud\r\n/m/04mm56,Citroën c1\r\n/m/04mm7n,Filo\r\n/m/04mmdd,Ford focus rs wrc\r\n/m/04mmjk4,Bentley continental gtc\r\n/m/04mmm2,Citroën c4\r\n/m/04mmpr,Seat arosa\r\n/m/04mnk4,Cessna at-17 bobcat\r\n/m/04mn_,Latex\r\n/m/04m_p58,Agwa de bolivia\r\n/m/04mqbf,User guide\r\n/m/04_mqc9,Trumpeter\r\n/m/04_mq_,Scrub Jay\r\n/m/04m_qv6,Common Checkered skipper\r\n/m/04ms6k,Jaguar d-type\r\n/m/04ms8g,Launch\r\n/m/04msr,Labyrinth\r\n/m/04msv3,Broadnose shark\r\n/m/04mt88d,Maybach 62\r\n/m/04mthkq,Nissan 350z\r\n/m/04mtl,Lamborghini\r\n/m/04m_t,Lunar eclipse\r\n/m/04m_v8k,Cimarrón uruguayo\r\n/m/04mw72,Volcanic crater\r\n/m/04mwqs,Keg\r\n/m/04mwtd2,Palm syrup\r\n/m/04mx2gy,Prawn roll\r\n/m/04mx32,Evening\r\n/m/04mxbw7,Almogrote\r\n/m/04mx_yy,Psarosoupa\r\n/m/04mxzl,Body man\r\n/m/04my5cn,Planter\r\n/m/04my6mb,Dodge ev\r\n/m/04mybq0,White english bulldog\r\n/m/04mygm,Bed sheet\r\n/m/04myn,Light-emitting diode\r\n/m/04myxc,Burmilla\r\n/m/04mz0y0,Third generation pontiac firebird\r\n/m/04m_z99,Quince cheese\r\n/m/04mz9zy,Anaene\r\n/m/04mzj8m,Kalinin k-7\r\n/m/04n0b__,Brain\r\n/m/04n0c4g,Nissan gloria y31\r\n/m/04n0jdr,Republic day of turkey\r\n/m/04n0sjm,Bmw x1\r\n/m/04n0wpb,Hackberry Emperor\r\n/m/04n0xh3,Tabun oven\r\n/m/04n12jn,Samba\r\n/m/04n1d4v,Kazy\r\n/m/04n1ly1,Mg m-type midget\r\n/m/04n1t0n,Sorbetes\r\n/m/04n23b9,Renault kz\r\n/m/04n2gl,Cutthroat trout\r\n/m/04n2k4,Atlantic shad\r\n/m/04n2lk6,Crodino\r\n/m/04n2pby,Sleepy Orange\r\n/m/04n2qg,Baccaurea ramiflora\r\n/m/04n2rh,Rocker\r\n/m/04n2vzc,Woo woo\r\n/m/04n31s,Jujube\r\n/m/04n3f9,Lob wedge\r\n/m/04n3jcl,Saab 9-x air\r\n/m/04n3vmz,Gmc cckw\r\n/m/04n41zj,Renault colorale\r\n/m/04n42hq,Lamborghini estoque\r\n/m/04n468c,Long-haired German Shepherd\r\n/m/04n4dpy,Scientific instrument\r\n/m/04n4hp,Trikiti\r\n/m/04n4l9,Tamburica\r\n/m/04n4_l,Bmw new class\r\n/m/04n4q89,Renault monaquatre\r\n/m/04n4s3s,Basset artésien normand\r\n/m/04n4vj,Practical shooting\r\n/m/04n4x,Lens\r\n/m/04n4yt,Mazda verisa\r\n/m/04n53zg,Northern Cloudywing\r\n/m/04n57px,Renault kj\r\n/m/04n599g,Renault vivasix\r\n/m/04n59y1,Westphalian dachsbracke\r\n/m/04n5d46,Renault primastella\r\n/m/04n60n,Mettwurst\r\n/m/04n622,Teewurst\r\n/m/04n648z,Meat slicer\r\n/m/04n69j1,Audi steppenwolf\r\n/m/04n6bl3,Macon\r\n/m/04n6gy,Santos-dumont 14-bis\r\n/m/04n6hlh,Renault celtaquatre\r\n/m/04n6jtr,Table knife\r\n/m/04n6knk,Screw press\r\n/m/04n6l5d,Kebapche\r\n/m/04n6nf7,Gt by citroën\r\n/m/04n6t0c,Buchla 200 series electric music box\r\n/m/04n7f9k,Seat exeo\r\n/m/04n7g0b,Chevrolet orlando\r\n/m/04n7g5z,Peugeot 3008\r\n/m/04n7g,Lexus\r\n/m/04n7gmg,Senior citizen\r\n/m/04n7h6z,Short-beaked common dolphin\r\n/m/04n7j9g,Miner\r\n/m/04n7jqz,Grip\r\n/m/04n7k6q,Power hammer\r\n/m/04n7kjv,Money changer\r\n/m/04_n7p,Yacón\r\n/m/04_n9y,Lepidium meyenii\r\n/m/04nb5j,Submarine chaser\r\n/m/04nb9v,Slow loris\r\n/m/04nc4r,Science book\r\n/m/04ndr,Lego\r\n/m/04nf8d,Ice hotel\r\n/m/04nfs2,Broomrape\r\n/m/04nj5z,Ziti\n/m/04njq1,Scuba diving\r\n/m/04njwd,Atole\r\n/m/04nk84,Leggings\r\n/m/04nljl,Mazda 787b\r\n/m/04nltm,Mazda 757\r\n/m/04nmst,King charles spaniel\r\n/m/04nmy9,Cheque\r\n/m/04nn26,Chimichurri\r\n/m/04nnxg,Helmet camera\r\n/m/04npt2,Speed golf\r\n/m/04nqvt,Arroz a la cubana\r\n/m/04nrfn,Star apple\r\n/m/04n_tw,Orris root\r\n/m/04nw77,Champurrado\r\n/m/04nwdh,Pontiac grand am\r\n/m/04nwmh,Bmw 2002tii\r\n/m/04nyjg,Jalebi\r\n/m/04nz4j,Falernum\r\n/m/04nz60,White walnut\r\n/m/04p0qw,Billiard table\r\n/m/04p0xr,Pool\r\n/m/04p168,Cue stick\r\n/m/04p25,Loch\r\n/m/04p26g,Dandiya raas\r\n/m/04p2pm,Fiat strada\r\n/m/04p33s,Peugeot 403\r\n/m/04p3f7,Standard schnauzer\r\n/m/04p3fz,Toyota camry solara\r\n/m/04p3vr,Chevrolet ssr\r\n/m/04p5b8,Pharmacy technician\r\n/m/04p5b_,Kokyu\r\n/m/04p_5w,Subaru ff-1 star\r\n/m/04p746,Squat\r\n/m/04p80l,Pontiac parisienne\r\n/m/04p8nt,Crunch\r\n/m/04p8w,Liver\r\n/m/04_pb7,Toyota sera\r\n/m/04_pd3,Chayote\r\n/m/04pf9h,Renault modus\r\n/m/04pfg5,Ford galaxy\r\n/m/04pfxj,Cervelat\r\n/m/04pg70,Jagdwurst\r\n/m/04pgq7,Bread crumbs\r\n/m/04pj2g,Mitsubishi outlander\r\n/m/04pkkj,Nissan titan\r\n/m/04pkll,Nissan murano\r\n/m/04pkp5,Toyota sequoia\r\n/m/04pkq8,Nissan xterra\r\n/m/04pkrb,Toyota tundra\r\n/m/04pn59,Boomwhacker\r\n/m/04pnxb,Bmw new six\r\n/m/04_pq5,Fiat 125\r\n/m/04_pr9,Fiat 130\r\n/m/04prkf,Small münsterländer\r\n/m/04psz1,Tiple\r\n/m/04_ptv,Fiat 600\r\n/m/04_pwp,Fiat 1100\r\n/m/04px3f,Baumkuchen\r\n/m/04py5v,Jack plane\r\n/m/04py7r,Sopaipilla\r\n/m/04_pyh,Fiat albea\r\n/m/04pyp5,Hairdresser\r\n/m/04pzb_,Halter\r\n/m/04pzcv,Mercedes-benz v-class\r\n/m/04q01p4,Snowdrop\r\n/m/04q01zj,Roof lantern\r\n/m/04q0rpn,Duck orchid\r\n/m/04q0wkm,Phengaris\r\n/m/04q0ygg,Cupido (butterfly)\r\n/m/04_q1v,Autobianchi bianchina\r\n/m/04q20jv,Shaving horse\r\n/m/04_q213,Lime juice\r\n/m/04q23v,Nile crocodile\r\n/m/04q2h1,Honda domani\r\n/m/04q2k3,Mg zr\r\n/m/04q2scx,Beetroot\r\n/m/04_q2x,Fiat doblò\r\n/m/04q32gw,Tremellaceae\r\n/m/04q347y,Plot\r\n/m/04q3_d,Mawlid\r\n/m/04q3y8,Red ginger\r\n/m/04q65n,Giant schnauzer\r\n/m/04q6h3,Fairchild c-82 packet\r\n/m/04q6ng,Comfort food\r\n/m/04q6pb5,Baby laughing\r\n/m/04_q6x,Fiat ducato\r\n/m/04q6_zj,Gynura crepidioides\r\n/m/04q78,Lex luthor\r\n/m/04_q7p,Fiat idea\r\n/m/04q7r,Lute\r\n/m/04q81gn,Mazda biante\r\n/m/04_q84,Fiat marea\r\n/m/04_q8l,Fiat regata\r\n/m/04q8t7,Sand tiger shark\r\n/m/04q98zr,Christmas elf\r\n/m/04q_9t,Volvo 300 series\r\n/m/04qc9s,Dulzaina\r\n/m/04qd4b,Peruvian groundcherry\r\n/m/04qd7t,Lethwei\r\n/m/04qf0,Loyalty program\r\n/m/04qgb6,Jewish cuisine\r\n/m/04qgh_,Renault 16\r\n/m/04qgp,Liqueur\r\n/m/04qk0d,Bee pollen\r\n/m/04qkfs,Singleleaf pine\r\n/m/04qlf,Lactose\r\n/m/04qlp4,Nipper\r\n/m/04qnnw,Boeing xb-38 flying fortress\r\n/m/04qptz,Security alarm\r\n/m/04qqf1,Bass oboe\r\n/m/04q_sh,Meyers manx\r\n/m/04qsz7,Pasta pomodoro\r\n/m/04qtn3,Heart rate monitor\r\n/m/04qtnv,Shepherd\r\n/m/04qvm8,Studebaker land cruiser\r\n/m/04qvn9,Studebaker commander\r\n/m/04qvpb,Studebaker champion\r\n/m/04qvtq,Police car\r\n/m/04qwst,Oxygen mask\r\n/m/04qzc7,Peach melba\r\n/m/04qzr0,Volvo 440\r\n/m/04r0gh,Garage door opener\r\n/m/04r0r7,Nissan primastar\r\n/m/04r2hh,Chengdu j-10\r\n/m/04r2l1,Scouse\r\n/m/04r387,Teh talua\r\n/m/04r40,Land rover\r\n/m/04r4bq,Trap shooting\r\n/m/04_r5c,African elephant\r\n/m/04r5nv,Surgical Assistants\r\n/m/04r5pk,Toyota 4runner\r\n/m/04r5q8,Pike\r\n/m/04r6np,Opel commodore\r\n/m/04r731,Karedok\r\n/m/04rcf0,Vauxhall srv\r\n/m/04rd7l,Ayu\r\n/m/04rd7,Mural\r\n/m/04rdm3,Shekere\r\n/m/04rhz9,Holden brougham\r\n/m/04rj42,Holden suburban\r\n/m/04rjfr,Chrysler sigma\r\n/m/04rjz,Middle ages\r\n/m/04rkjp,Kia opirus\r\n/m/04rky,Mammal\r\n/m/04rlf,Music\r\n/m/04rmr1,American mink\r\n/m/04rmv,Mouse\r\n/m/04rnmn,Ford bronco ii\r\n/m/04rnsz,Ford bronco\r\n/m/04r_pf,Salty liquorice\r\n/m/04rpjf,American crocodile\r\n/m/04rqx,Mustelidae\r\n/m/04rtk7,Beer stein\r\n/m/04rttl,Nissan armada\r\n/m/04rtyk,Honda passport\r\n/m/04rv6n,Lexus es\r\n/m/04rv8h,Subaru g\r\n/m/04rv8v,Acura slx\r\n/m/04rw1d,Isuzu wizard\r\n/m/04rx3_,Subaru xt\r\n/m/04rx8j,Fruit salad\r\n/m/04rxgd,Texas horned lizard\r\n/m/04ryb5,Footstool\r\n/m/04rz05,Orchestra pit\r\n/m/04rzd,Mandolin\r\n/m/04s0_f,Deadlift\r\n/m/04s5jq,Costume design\r\n/m/04s_6n,Food truck\r\n/m/04s8yn,Crow\r\n/m/04s94w,Bell 206\r\n/m/04sb1n,Agrostophyllum\r\n/m/04scj,Meat\r\n/m/04sf1h,Oxford shoe\r\n/m/04sf7h,Pagani zonda\r\n/m/04sfs7,Socket wrench\r\n/m/04sg4s,Lancia aurelia\r\n/m/04sg5,Mint\r\n/m/04sgp,Marjoram\r\n/m/04sh3,Medicine\r\n/m/04shl0,Distilled beverage\r\n/m/04shrv,Hash browns\r\n/m/04sjm,Flowering plant\r\n/m/04sk3,Malvales\r\n/m/04sk75,Figure drawing\r\n/m/04s_kv,Self-anchored suspension bridge\r\n/m/04sl1,Malpighiales\r\n/m/04_sl2,Topshur\r\n/m/04slrm,Amc eagle\r\n/m/04snl_,Vaisakhi\r\n/m/04spln,North american river otter\r\n/m/04spm,Manga\r\n/m/04spsf,Golden root\r\n/m/04spzz,Surfboat\r\n/m/04srcv,Spotted Turtle\r\n/m/04sszg,Nissan avenir\r\n/m/04st9p,Vauxhall victor\r\n/m/04stdlw,Competition event\r\n/m/04stk2,Toyota chaser\r\n/m/04svjwz,Bench-legged feist\r\n/m/04svljl,Braque saint-germain\r\n/m/04_sv,Motorcycle\r\n/m/04sw5p,Shaving cream\r\n/m/04swlxt,Hellenikos ichnilatis\r\n/m/04swq2,Cable layer\r\n/m/04swrh,Bulk carrier\r\n/m/04sx3h,Gmc motorhome\r\n/m/04sxch4,Pocket beagle\r\n/m/04sxcxt,Posavac hound\r\n/m/04sxdd8,Stichelhaar\r\n/m/04sy1s,Over-the-line\n/m/04syk4v,Treeing feist\r\n/m/04syw,Monarch\r\n/m/04szc,Monarchy\r\n/m/04szvb,Renault 5 turbo\r\n/m/04szw,Musical instrument\r\n/m/04t11q,Limoncello\r\n/m/04t1m7,Pageboy\r\n/m/04t1tg,Aérospatiale super frelon\r\n/m/04t36,Musical\r\n/m/04t37l,Domra\r\n/m/04t495,Pornographic magazine\r\n/m/04t5pr,Knickerbocker glory\r\n/m/04t6r,Municipality\r\n/m/04t7l,Metal\r\n/m/04t8n5,Allemande sauce\r\n/m/04t8p9,Brochette\r\n/m/04t8sg,Al dente\r\n/m/04t8xj,Pancetta\r\n/m/04t9b9,Rouille\r\n/m/04_tb,Map\r\n/m/04tc_,Mineral\r\n/m/04tcyk,Crème fraîche\r\n/m/04tdfk,Ciabatta\r\n/m/04tdh,Marble\r\n/m/04tfw,Monotreme\r\n/m/04th59,Laser line level\r\n/m/04tkfx,Tread\r\n/m/04tk_v,Zhajiangmian\r\n/m/04tkwl,Swim brief\r\n/m/04tlvt,Board short\r\n/m/04tmrv,Trunks\r\n/m/04tmsl,Mg zs\r\n/m/04tmwq,Competitive swimwear\r\n/m/04tn4x,Swim cap\r\n/m/04tn5p,Bmw z1\r\n/m/04tnkz,Toyota rav4\r\n/m/04tq30,Rash guard\r\n/m/04tqvs,Oină\r\n/m/04tr8s,Pc game\r\n/m/04trb_,Hamantash\r\n/m/04ttsh,Dirt track racing\r\n/m/04_tv,Management\r\n/m/04tx5c,Brake fluid\r\n/m/04tx8z,Archimandrite\r\n/m/04txjl,Coadjutor bishop\r\n/m/04tyk6,Romano cheese\r\n/m/04v0d3,Misua\r\n/m/04v0t6,Emergency light\r\n/m/04v2k7,Audi r8\r\n/m/04v2qy,Cousin\r\n/m/04v38h,Banger racing\r\n/m/04v3hr,Egyptian stick fencing\r\n/m/04v4vj,Jaguar xj220\r\n/m/04v4w_,Pärk\r\n/m/04v5by,Mediterranean food\r\n/m/04v6hz,Eye drop\r\n/m/04v6l4,Frying pan\r\n/m/04v6vp,Suona\r\n/m/04v70g,Hoisin sauce\r\n/m/04v791,Wedding invitation\r\n/m/04v925,Farfel\r\n/m/04vbvb,Chevrolet cobalt\r\n/m/04_vc4,Lancia fulvia\r\n/m/04vdvm,Panipuri\r\n/m/04vg_r,Eurohound\r\n/m/04vhd0,Bhakri\r\n/m/04vk5_,Egg foo young\r\n/m/04vmpm,Loft\r\n/m/04vmsn,Advocaat\r\n/m/04vmwc,Southern comfort\r\n/m/04vmy8,Nissan ad\r\n/m/04vprg,Austin sheerline\r\n/m/04vq8l,Steak pie\r\n/m/04vqc3,Costume party\r\n/m/04vrmv,Ganesh chaturthi\r\n/m/04vs16,Dunun\r\n/m/04vs72,Eastern Cottontail\r\n/m/04vsb4,Svedka\r\n/m/04vt_1,Western concert flute\r\n/m/04vtz0,Polka dot\r\n/m/04vv5k,Snowplow\r\n/m/04_vv,Maple syrup\r\n/m/04vwqs,Camisoles\r\n/m/04vxs5l,Pool player\r\n/m/04vyg3,Polikarpov po-2\r\n/m/04vyx3,Momo\r\n/m/04w2lx,Isuzu vehicross\r\n/m/04w3zd,Viceroy (butterfly)\r\n/m/04w40l,Hieromonk\r\n/m/04w_5t,Desert horned lizard\r\n/m/04w67_,Post box\r\n/m/04w7nv,Overhead power line\r\n/m/04w8lr,Airboat\r\n/m/04w8xt,Driveway\r\n/m/04w9dx,Common rudd\r\n/m/04wc3m,Nail biting\r\n/m/04wdff,Malaga\r\n/m/04wds1,Fiat 131\r\n/m/04wff6,Salt evaporation pond\r\n/m/04wg4d,Orange chicken\r\n/m/04whjh,Toast hawaii\r\n/m/04whkm,Eastern chipmunk\r\n/m/04wjqw,Pavilion\r\n/m/04wk59,Training ship\r\n/m/04wnmd,Fixture\r\n/m/04wqwz,Chevrolet hhr\r\n/m/04wsll,Froe\r\n/m/04wv_,Moon\r\n/m/04wxr,Mountain range\r\n/m/04wyr,Modem\r\n/m/04wzh2,Basmati\r\n/m/04wzs6,Jamón serrano\r\n/m/04x0p8,Toyota hilux\r\n/m/04x0wb,Handle\r\n/m/04x0x3,Mitsubishi minica\r\n/m/04_x4,Money\r\n/m/04x668,Squitten\r\n/m/04x7tg,Kotatsu\r\n/m/04x974,Eccles cake\r\n/m/04x9h,Mazda\r\n/m/04x9ny,Bara brith\r\n/m/04x9wp,Becherovka\r\n/m/04xbg2,Stereophonic sound\r\n/m/04xc_d,College baseball\r\n/m/04xcs8,Eucharistic adoration\r\n/m/04xd6k,Melee weapon\r\n/m/04_xh6,Nissan figaro\r\n/m/04xj70,Aro 24 series\r\n/m/04xj9l,Aro 10\r\n/m/04xmxz,Liquid smoke\r\n/m/04xnb2,Saturn aura\r\n/m/04_xn,Mosque\r\n/m/04_xpq,Secondary modern school\r\n/m/04xpvv,Shoot boxing\r\n/m/04xqx,Mahjong\r\n/m/04xsv,Martial arts\r\n/m/04xt2k,Pontiac ventura\r\n/m/04xvs0,Laminate flooring\r\n/m/04xw0j,Snow removal\r\n/m/04xwwr,Hyundai sonata\r\n/m/04xx17,Griffon bruxellois\r\n/m/04xxsd,Masked Shrew\r\n/m/04xy8f,Saab sport\r\n/m/04xz3,Muay thai\r\n/m/04xz_5,Blazer\r\n/m/04xztc,Dromon\r\n/m/04y03v,Honeycomb toffee\r\n/m/04y09b,Landseer\r\n/m/04y0_x,Hot pot\r\n/m/04y0z1,Khorasan wheat\r\n/m/04y1sg,Ford synus\r\n/m/04y2cm,Strip club\r\n/m/04y2ff,Coasteering\r\n/m/04y495,Farinata\r\n/m/04y4h8h,Bathroom cabinet\r\n/m/04y4s0,Groat\r\n/m/04y4yq,Magur\r\n/m/04y571,Kasha\r\n/m/04y5c8,Kung pao chicken\r\n/m/04y5gfg,Mulukhiyah\r\n/m/04y5grq,Citroën hypnos\r\n/m/04y5l8b,Nissan 370z\r\n/m/04y5my2,Punch bowl\r\n/m/04y5q5x,Hypericaceae\r\n/m/04y6m6g,Renault altica\r\n/m/04y6vg,Combat pistol shooting\r\n/m/04y6w7b,Auburn 8-88\r\n/m/04y6y0l,Borjomi\r\n/m/04y6yfp,Ron botran\r\n/m/04y7j7w,Seep\r\n/m/04y7js1,Endurocross\r\n/m/04y7lg1,Dragon li\r\n/m/04y7xr,Cook\r\n/m/04y8503,Chevrolet superior\r\n/m/04_y8b,Drambuie\r\n/m/04y8ty,Jaguar advanced lightweight coupe concept\r\n/m/04y9_,Microscope\r\n/m/04y9ndr,Adirondack blue potato\r\n/m/04y9nly,Dodge 440\r\n/m/04y9npb,Sherbet\r\n/m/04ybq2j,Eastern Bath White\r\n/m/04ybx08,Candy pumpkin\r\n/m/04ycb9n,Barber chair\r\n/m/04yclrg,Reading\r\n/m/04ycsfd,Dainty Sulphur\r\n/m/04yd_3h,Hofmannophila pseudospretella\r\n/m/04ydqdm,Moustalevria\r\n/m/04yf46,Star nosed mole\r\n/m/04yf4r2,Trunkfish\r\n/m/04yf9_q,Lagori\n/m/04yfcq0,Chevrolet agile\r\n/m/04yfd1,Kuchen\r\n/m/04yf_fl,Bmw concept x6 activehybrid\r\n/m/04yg3yn,Electrical contractor\r\n/m/04yg5c,Saab 9-7x\r\n/m/04ygw50,Cicchetti\r\n/m/04yhpc,Molding\r\n/m/04ykml,Dustpan\r\n/m/04yktqj,Paris-brest\r\n/m/04yktq,Suzuki sj\r\n/m/04ylr2,Wild cabbage\r\n/m/04ylrx,Bacardi 151\r\n/m/04ylt,Missile\r\n/m/04yp7k,Housekeeper\r\n/m/04yq8v,Cholent\r\n/m/04yqq2,Bust\r\n/m/04yr41,Drifting\r\n/m/04yrks,Shanghai y-10\r\n/m/04yrw9,Sageretia theezans\r\n/m/04yswr,Winter aconite\r\n/m/04ywz4,Ferrari f50 gt\r\n/m/04yx4,Man\r\n/m/04yxmx,Suzuki concept x\r\n/m/04z10y,Property manager\r\n/m/04z1tn,Elliptical trainer\r\n/m/04z37g,Baby monitor\r\n/m/04z3vm,Eight-man football\r\n/m/04z4wx,Waffle iron\r\n/m/04z_51m,Ptitim\r\n/m/04z7qr,Control tower\r\n/m/04z_9sw,Cuban pastry\r\n/m/04z_dl7,Gm hydrogen4\r\n/m/04zf3g,Kolam\r\n/m/04zg90l,Audi s2\n/m/04zhd,Mythology\r\n/m/04zjc,Machine gun\r\n/m/04zjpx,Sri Lankan cuisine\r\n/m/04zjxcz,Ash\r\n/m/04zlcx,French braid\r\n/m/04zm1s,Video memory\r\n/m/04zm7_,Staff\r\n/m/04zmpt,Police commissioner\r\n/m/04_zn1,Studebaker lark\r\n/m/04zn60,Liquorice allsorts\r\n/m/04zndj,Honda today\r\n/m/04zpv,Milk\r\n/m/04zt7s,Southwestern united states food\r\n/m/04ztj,Marriage\r\n/m/04zvdk_,Marine electronics\r\n/m/04zvfc2,Street sports\r\n/m/04zvfqs,Dandelion coffee\r\n/m/04zwb8w,Mazda rx-8 hydrogen re\r\n/m/04zwd0,Morsing\r\n/m/04zwm7g,Gurgel supermini\r\n/m/04zw_w9,Auriculariaceae\r\n/m/04zwwv,Ring binder\r\n/m/04zwz5j,Little Wood Satyr\r\n/m/04zx3q1,Phd\r\n/m/04zxd_,Thames sailing barge\r\n/m/04zxpxr,Gurgel br-800\r\n/m/04zxyjd,Halden hound\r\n/m/04zy2g1,Father daughter dance\r\n/m/04z_y4,Pergola\r\n/m/04zy6k1,Alpine mastiff\r\n/m/04zygmh,Forage fish\r\n/m/04zymj3,Gurgel carajás\r\n/m/04zyrx0,Little Yellow\r\n/m/04zyv57,Toyota mark ii blit\r\n/m/04zywdn,Milbert s Tortoiseshell\r\n/m/04zz3mj,Veneer hammer\r\n/m/04zz87w,Auriculariales\r\n/m/04zz9g2,Queen Triggerfish\r\n/m/04zzj52,Rover 12\r\n/m/04zzljk,Splint boots\r\n/m/04zztk4,Cephalopod ink\r\n/m/0500_w,Stinky tofu\r\n/m/0502lv,Toyota kijang\r\n/m/0502nl,Common horse chestnut\r\n/m/0502pq,Muffuletta\r\n/m/050_3g,Soused herring\r\n/m/050434,Kaibab Squirrel\r\n/m/0504jd,Studebaker scotsman\r\n/m/0505p2,Mg xpower sv\r\n/m/0506h5,Heart of palm\r\n/m/0508p,Motherboard\r\n/m/050d87,Pulaski\r\n/m/050dyg,Periwinkle\r\n/m/050gv4,Plate\r\n/m/050h0q,Stemware\r\n/m/050h26,Drinkware\r\n/m/050hpw,Coconut cream\r\n/m/050hyr,Winged bean\r\n/m/050jh_,Spurdog\r\n/m/050jlk,Toyota bb\r\n/m/050k8,Mobile phone\r\n/m/050_kvm,Chrysler 300c\r\n/m/050_lh_,Plymouth volare\n/m/050lqd,Chicken fingers\r\n/m/050m63,Mg mgb\r\n/m/050_mqg,Nissan 300zx\n/m/050nsn,Buick lucerne\r\n/m/050p3h,Cadillac dts\r\n/m/050qtp,Subaru impreza wrx sti\r\n/m/050rj,Musical saw\r\n/m/050s04,Sanding block\r\n/m/050s45,Rasp\r\n/m/050s9p,Bow saw\r\n/m/050ss7,Eastern hemlock\r\n/m/050tn6,Plymouth belvedere\r\n/m/050vn,Marine biology\r\n/m/050x0,Multihull\r\n/m/050_xm,Penne\r\n/m/050ywl,Cithara\r\n/m/0510l8,Triumph tr7\r\n/m/05_10m,Volkswagen 181\r\n/m/0511_p,Audi s4\r\n/m/0512ks,Rubber cement\r\n/m/0512rs,Charophyta\r\n/m/0513fz5,Gmc sierra\r\n/m/0513qg_,Sound engineer\r\n/m/0513yzt,Ballet dancer\r\n/m/051_460,Frame saw\r\n/m/05148p4,Keyboard\r\n/m/0514zg,Potpourri\r\n/m/051518,Bachelorette party\r\n/m/0515qg,Bell peppers and chili peppers\r\n/m/0516bh,Miter saw\r\n/m/0517l,Meditation\r\n/m/0517pp,Cadillac fleetwood\r\n/m/0518p5,Wallyball\r\n/m/0518z0,Pecan pie\r\n/m/051_bml,Wireball\r\n/m/051_c9l,Ssangyong musso sports\r\n/m/051clg,Audi rs 6\r\n/m/051dzz,Delorean dmc-12\r\n/m/051g40,Kia sephia\r\n/m/051g4s,Kia credos\r\n/m/051gs3,Fixed link\r\n/m/051_hk,Keyboard bass\r\n/m/051hnk,Cereal germ\r\n/m/051hrr,Electronic drum\r\n/m/051htk,Manilkara\r\n/m/051j09,Sapodilla\r\n/m/051lhp,Apple mint\r\n/m/051lk3,Wooden spoon\r\n/m/051mgy,Blue devil\r\n/m/051nsr,Jeepster commando\r\n/m/051ppn,Glen of imaal terrier\r\n/m/051rmm,Steeple\r\n/m/051tbb,Harebell\r\n/m/051vk,Mousse\r\n/m/051vlw,Audi s3\r\n/m/051vx7,Plymouth valiant\r\n/m/051vxl,Surgical technologist\r\n/m/051w41d,Auricularia\r\n/m/051wbqj,Gummi candy\r\n/m/051wx20,Saipa tiba\r\n/m/051x53t,Inonotus\r\n/m/051x7ny,Parfait\r\n/m/051xr7,Open-air museum\r\n/m/051xx4,Laser pointer\r\n/m/051y6,Maze\r\n/m/051ym28,Ndolé\r\n/m/051ym,Mammoth\r\n/m/051yxhw,Pandero jarocho\r\n/m/051z61m,Second generation subaru legacy\r\n/m/051zb1,Velvet plant\r\n/m/051zd5s,Enhanced water\r\n/m/051zk,Mexican food\r\n/m/051zkyc,Desert rose\r\n/m/051zpz8,Third-generation subaru legacy\r\n/m/051zw1f,Fourth generation subaru legacy\r\n/m/051zwhj,Tremellales\r\n/m/0520f0,Fiat oggi\r\n/m/0520g1,Fiat 147\r\n/m/0520lbm,Stick candy\r\n/m/0521dbh,Texture\r\n/m/0521mzx,Broccoli sprouts\r\n/m/0521tzq,Toyota quickdelivery\r\n/m/05229,Musical ensemble\r\n/m/0522cz4,Electronic signage\r\n/m/0522n8,Hyundai getz\r\n/m/0523107,Bacon and cabbage\r\n/m/05236r,Giant granadilla\r\n/m/0523xvv,Chevrolet lakewood\r\n/m/0524jwl,First generation subaru legacy\r\n/m/0524tc,Cincinnati chili\r\n/m/052520f,Toyota mark x zio\r\n/m/05252fc,Northern Seahorse\r\n/m/05252gh,Chevrolet greenbrier\r\n/m/05252qc,Freight car\r\n/m/05253_m,Apple cider vinegar\r\n/m/05254wc,Field lacrosse\r\n/m/052552,Mitsubishi sigma\r\n/m/05256cr,Toyota corolla verso\r\n/m/05257m3,Citroën nemo\r\n/m/0525zw,Automotive navigation system\r\n/m/05267r,Dodge matador\r\n/m/0526nx,Dodge la femme\r\n/m/0527yq,Studebaker dictator\r\n/m/05283f,Wine gum\r\n/m/0528g3,Biscotti\r\n/m/052919,Wristband\r\n/m/0529w,Manatee\r\n/m/052b2y,Key lime\r\n/m/052bc,Marsupial\r\n/m/052b_m,Gatekeeper (butterfly)\r\n/m/052_bp3,Frico\r\n/m/052dn6,Studebaker president\r\n/m/052dwc,Kia avella\r\n/m/052fxs,Roller in-line hockey\r\n/m/052h3c,Karelian bear dog\r\n/m/052j6q6,Volleyball net\r\n/m/052j_h,Mercury park lane\r\n/m/052jvm,Mercury turnpike cruiser\r\n/m/052jz3,Mercury montclair\r\n/m/052l6z,Box-spring\r\n/m/052lbg,Hyacinth bean\r\n/m/052lwg6,Baked goods\r\n/m/052ly,Macaroni\r\n/m/052mx,Mercedes-benz\r\n/m/052nvs,Studebaker speedster\r\n/m/052nz5x,Accordionist\r\n/m/052pwn,Ricebean\r\n/m/052q5,Minestrone\r\n/m/052q93,Vigna aconitifolia\r\n/m/052rb9,Queen of puddings\r\n/m/052rh,Mcintosh\r\n/m/052rln,Handgun holster\r\n/m/052rvr,Carting\r\n/m/052rz,Machete\r\n/m/052sf,Mushroom\r\n/m/052t3t,Charreada\r\n/m/052v50,Chrysler saratoga\r\n/m/052v6r,Chrysler windsor\r\n/m/052v7s,Chevrolet delray\r\n/m/052vjl,Buick limited\r\n/m/052vlp,Vickers f.b.5\r\n/m/052w_x,Vegan nutrition\r\n/m/052xdy,Wkd original vodka\r\n/m/052y8j,Apfelschorle\r\n/m/052zjh,Surgical instrument\r\n/m/053017,Gaelic handball\n/m/053136w,Cedar Hairstreak\r\n/m/0531_h,Roll-on/roll-off\r\n/m/0534gm,Tartare\r\n/m/0537v,Mazda mx-5\r\n/m/053822,Chevrolet k5 blazer\r\n/m/0539n0,Compact sport utility vehicle\r\n/m/053d3h,Demolition derby\r\n/m/053f5,Mountaineering\r\n/m/053f97,Mortiser\r\n/m/053g_f,Stout scarab\r\n/m/053h9k,Nissan stagea\r\n/m/053hn2,Studebaker starlight\r\n/m/053hz1,Cheering\r\n/m/053j8t,Bubbler\r\n/m/053kqy,Dobok\r\n/m/053ly1,Plymouth plaza\r\n/m/053mcp,Plymouth savoy\r\n/m/053n10,Hawaiian food\r\n/m/053ps0,Škoda fabia\r\n/m/053q6l,Flatweed\r\n/m/053qt5,Jumping Cholla\r\n/m/053rd,Mining\r\n/m/053rg4,Curaçao\r\n/m/053s6d,Mozartkugel\r\n/m/053scx,Radio-controlled aircraft\r\n/m/053sqf,Vigna unguiculata subsp. sesquipedalis\r\n/m/053_t0,Stabyhoun\r\n/m/053tgh,Peanut butter fruit\r\n/m/053thd5,Volga siber\r\n/m/053vgx,Wood ear\r\n/m/053wn,Corn\r\n/m/053wng,Longjing tea\r\n/m/053wzw,Kennel\r\n/m/053xbf,Lady's maid\r\n/m/053xrq,Cabin\r\n/m/053ydw,Crop top\r\n/m/0540xn,Snap pea\r\n/m/0541p,Multimedia\r\n/m/0543bk,Hanbok\r\n/m/0543qk,White chocolate\r\n/m/05441v,Crutch\r\n/m/0544_4,Dodge regent\r\n/m/0544zg,Dodge kingsway\r\n/m/0544zt,Dodge mayfair\r\n/m/05453d,Proton wira\r\n/m/05454g,Proton waja\r\n/m/0545dt,Infiniti qx80\r\n/m/0545nx,Blood orange\r\n/m/0546g0,Gottuvadhyam\r\n/m/0546n5,Kanjira\r\n/m/05474b,Saint george's day\r\n/m/0549d_,Endurance riding\r\n/m/054bkc,Oyster mushroom\r\n/m/054fyh,Pitcher\r\n/m/054hcy,Green bean\r\n/m/054j0_,Peanut butter cup\r\n/m/054k0,Film studio\r\n/m/054kbj,Utonagan\r\n/m/054_l,Mirror\r\n/m/054n3w,Marine protector-class coastal patrol boat\r\n/m/054nsx,Island-class patrol boat\r\n/m/054nt7,Staple remover\r\n/m/05_4_,Party\r\n/m/054pq,Moose\r\n/m/054sx8,Isuzu hombre\r\n/m/054v4d,Log bridge\r\n/m/054v5h,Beam bridge\r\n/m/054v5w,Plate girder bridge\r\n/m/054v66,Trestle\r\n/m/054v6y,Box girder bridge\r\n/m/054v91,Moveable bridge\r\n/m/054vlz,French lavender\r\n/m/054vtt,Proton saga\r\n/m/054w4s,Naengmyeon\r\n/m/054wvq,Syllabub\r\n/m/054xkw,Lifejacket\r\n/m/054y0p,Soubrette\r\n/m/054y2k,Desert tortoise\r\n/m/054yc0,Cannabis\r\n/m/054zhc,Desert iguana\r\n/m/0553tg,Samgyeopsal\r\n/m/05542,Mecha\r\n/m/055522,Peugeot partner\r\n/m/0555_q,Toyota fj cruiser\r\n/m/0556wyg,Moulder\r\n/m/0557jlj,Bowling shirt\r\n/m/0557q,Musical theatre\r\n/m/0557tw,Golden syrup\r\n/m/0558bb,Opel gt\r\n/m/0558t8,Torban\r\n/m/055bdr,Proton perdana\r\n/m/055bf2,Proton gen-2\r\n/m/055br8,Thai bangkaew dog\r\n/m/055dk5,Ilyushin db-3\r\n/m/055hnm,Medium endurance cutter\r\n/m/055hx5,Cawl\r\n/m/055_j_,Hawker\r\n/m/055k66,Giant clam\r\n/m/055_l,Melting\r\n/m/055ny2,Tamborim\r\n/m/05_5p_0,Table tennis racket\r\n/m/055p_k,Mil mi-4\r\n/m/05_5ppm,Škoda yeti\r\n/m/055q10,Mil mi-1\r\n/m/05_5q1n,Mangifera\r\n/m/055qbm,Petlyakov pe-8\r\n/m/055qm5,Lavochkin la-9\r\n/m/055qnq,Lavochkin la-11\r\n/m/055qwk,Topos\r\n/m/055r6g,Galantine\r\n/m/055rn5,Kuk sool won\r\n/m/055s40,Glacial landform\r\n/m/05_5sdq,Silvery Blue\r\n/m/055sg,Militia\r\n/m/055t0d,Doshu\r\n/m/05_5t0l,Landmark\r\n/m/055vs5,Chocolate pudding\r\n/m/055w7,Mozzarella\r\n/m/05_5x82,Škoda rapid\r\n/m/05_5xcc,Solar charger\r\n/m/05_5y3h,Eastern Tent Caterpillar\r\n/m/055y91,Golden samphire\r\n/m/05_5y9y,Memory card reader\r\n/m/05_5yzm,Pipe-laying ship\r\n/m/055zfk,Tricking\r\n/m/05_5zks,Whiskey sour\r\n/m/05_601t,Dr5\r\n/m/05607t,Pedestal\r\n/m/05620g,Jaguar xjr-15\r\n/m/0562kw,Sweethearts\r\n/m/0563fd,Pzl sw-4\r\n/m/05648t,Crash cart\r\n/m/05660t6,Field marigold\r\n/m/0566zm,Melinjo\r\n/m/05676x,Pencil case\r\n/m/05677z,Tablecloth\r\n/m/0567vq,Liptauer\r\n/m/05698d,Mudhol hound\r\n/m/0569zg,Beauty salon\r\n/m/056b2gz,Lexus hs\r\n/m/056c17,Hotdish\r\n/m/056chn,Bede bd-5\r\n/m/056cn0,Choux pastry\r\n/m/056cvdf,Piccata\r\n/m/056czg,Volvo c70\r\n/m/056f2w,Sweatpant\r\n/m/056fz_,Arepa\r\n/m/056gc1,Citroën acadiane\r\n/m/056gfd,Citroën m35\r\n/m/056gks,Citroën c35\r\n/m/056gn4p,Sasando\r\n/m/056hv8,Tupolev sb\r\n/m/056hv,Measuring instrument\r\n/m/056j6_z,Djevrek\r\n/m/056jdf,Cadillac bls\r\n/m/056jz9,Beriev be-12\r\n/m/056kp7s,Ciccioli\r\n/m/056ks2,Watercraft rowing\r\n/m/056l_g,Douhua\r\n/m/056mk,Metropolis\r\n/m/056_nb,Referee\r\n/m/056pp,Menorah\r\n/m/056qz,Monorail\r\n/m/056vbf,Brown sauce\r\n/m/056vwr,Cutty sark\r\n/m/056w34,Douchi\r\n/m/056wv,Megalith\r\n/m/05_6xq,Glazier\r\n/m/056y0l,Berliner\r\n/m/056ykb,Stereo camera\r\n/m/056ypf,Citroën h van\r\n/m/056ywg,Fried fish\r\n/m/056yz7,Apple crisp\r\n/m/056z5l,Boudin\r\n/m/056z7t,Citroën elysée\r\n/m/056zd5,Sunlounger\r\n/m/056zpy,Columbian spruce\r\n/m/0570fs,Citroën tub\r\n/m/057_14,Sabal minor\r\n/m/05717m,Otterhound\r\n/m/05737b,Stracciatella\r\n/m/0573b7,Kreplach\r\n/m/057_4d,Canadian eskimo dog\r\n/m/0574rl2,Rugby player\r\n/m/0576lvk,Down-the-hole drill\r\n/m/0576_q,Lake freighter\r\n/m/0578bx,Pariah dog\r\n/m/057cc,Musical keyboard\r\n/m/057fnh,Yusheng\r\n/m/057fyr,Chevrolet s-10 blazer\r\n/m/057gn,Minivan\r\n/m/057h4,Moxie\r\n/m/057k4h,Hare coursing\r\n/m/057k4v,Arroyo\r\n/m/057l1r,Vigil\r\n/m/057m6,Massively multiplayer online role-playing game\r\n/m/057mkg,Matzah ball\r\n/m/057m_x,Weedy seadragon\r\n/m/057n6,Malt\r\n/m/057p5t,Scoreboard\r\n/m/05_7__,Padlock\r\n/m/057pl6,Eau de vie\r\n/m/057pr8,Ice racing\r\n/m/057pwg,Traditional chinese musical instruments\r\n/m/057r8t,Babka\r\n/m/057s33,Hognose snake\r\n/m/057w2,Mimosa\r\n/m/057w7m,Buick invicta\r\n/m/057w9g,Dart\r\n/m/057wpk,Toyota mark ii\r\n/m/057wy,Manhattan\r\n/m/057xn73,Starfruit plant\r\n/m/057xnyr,Mini e\r\n/m/057xpf,Breckland thyme\r\n/m/057xtgl,Schnecken\r\n/m/057yl,Mojito\r\n/m/057z_,Miso\r\n/m/057zq0,Bite\r\n/m/0582k9,Buick wildcat\r\n/m/0582wn,Buick somerset\r\n/m/0583b1,Barricade\r\n/m/0583c6,Colorado spruce\r\n/m/05848m,Pizzoccheri\r\n/m/0584_h,Bmw x3\r\n/m/0584n8,Briefcase\r\n/m/05850k,Kia cerato\r\n/m/05853c,Rib eye steak\r\n/m/05859q,Trip hammer\r\n/m/0585lj,Chevrolet marajó\r\n/m/0585y,Matzo\r\n/m/05862r,Swarmandal\r\n/m/0587fz,Rosa arkansana\r\n/m/0587q4,Fokker 50\r\n/m/0588s7q,Picnic boat\r\n/m/0589lz,Canoe birch\r\n/m/0589ql,Swamp birch\r\n/m/0589tx,Sweet birch\r\n/m/058bdz,Welsh cake\r\n/m/058bzf,Caddisflies\r\n/m/058dnr,Citroën jumpy\r\n/m/058dw,Modern dance\r\n/m/058f7r,Citroën karin\r\n/m/058fpl,Citroën c25\r\n/m/058ftw,Citroën jumper\r\n/m/058gzc,Brännboll\r\n/m/058hry,Smoothie\r\n/m/058j81,Citroën faf\r\n/m/058jvk,Bmw e9\r\n/m/058jw8,Track spikes\r\n/m/058ksc,Pork belly\r\n/m/058kvx,Intercom\r\n/m/058l0s,Ice hockey equipment\r\n/m/05_8m,Pearl\r\n/m/058myx,Clipper\r\n/m/058nbh,Packard clipper\r\n/m/058p2d,Opel meriva\r\n/m/058pq1,Seat córdoba\r\n/m/058qzx,Kitchen knife\r\n/m/058r9z,Rolling pin\r\n/m/058sp2,Elaeocarpaceae\r\n/m/058sq5,Tanacetum parthenium\r\n/m/058sv,Magazine\r\n/m/058tz6,Ruan\r\n/m/058v0n,Lineman\r\n/m/058v35,Alfa romeo brera\r\n/m/058v3z,Alfa romeo 159\r\n/m/058v4s,Alfa romeo kamal\r\n/m/058v5,Microcontroller\r\n/m/058v7l,Porsche cayman\r\n/m/058wp,Mecca\r\n/m/058x3r,Citroën méhari\r\n/m/058x8r,Amc spirit\r\n/m/058xcc,Fire sprinkler\r\n/m/058zpf,Research vessel\r\n/m/058zvc,Duckpin bowling\r\n/m/05912f,White shepherd\r\n/m/0591sb,Windjammer\r\n/m/0592j2,Tripe soup\r\n/m/0594sx,Koottu\r\n/m/0594v,Motel\r\n/m/059_52,Laminate trimmer\r\n/m/059__59,Common peony\r\n/m/0595j5,Cinnamon\r\n/m/0598f14,Adler trumpf-junior\r\n/m/0598jy8,Duesenberg model a\r\n/m/059bk7,Framing hammer\r\n/m/059bky,Claw hammer\r\n/m/059bns,Atlantic blue marlin\r\n/m/059bph,Sailfish\r\n/m/059h_2,Medicine ball\r\n/m/059hvq,Ocimum\r\n/m/059j0j,Bee balm\r\n/m/059jcr,Chimichanga\r\n/m/059jhc,Monoski\r\n/m/059l_1,Arm wrestling\r\n/m/059m9w,Buddhist prayer beads\r\n/m/059n8m,Gumdrop\r\n/m/059ngcr,Auburn 12-160\r\n/m/059ngl4,Auburn 851\r\n/m/059nglj,Auburn 852\r\n/m/059ngpy,Auburn speedster\r\n/m/059q406,Volvo xc70\r\n/m/059qfq,Copy stand\r\n/m/059qt9,Jucy lucy\r\n/m/059r7w6,Carbonated soft drinks\r\n/m/059s10,Horseshoes\r\n/m/059vmz,Kia rio\r\n/m/059w41,Pachamanca\r\n/m/059_xgm,Cuccidati\r\n/m/059yn2,Menorah\r\n/m/059zr0,Epazote\r\n/m/05b086,Television studio\r\n/m/05b0gp,Ganache\r\n/m/05b0n7k,Outdoor recreation\r\n/m/05b0ss,Lancia delta s4\r\n/m/05b0tv9,Mazda rx-01\r\n/m/05b0xy,Lancia ecv\r\n/m/05b1b40,Tombet\r\n/m/05b1rx,Online advertising\r\n/m/05b1swx,Polar bear\r\n/m/05b1v8y,Banter bulldogge\r\n/m/05b1xkt,Rainbow rose\r\n/m/05b1y6m,Saccharina japonica\r\n/m/05b23r,Bolt cutter\r\n/m/05b28j,Meadow Vole\r\n/m/05b2ln6,Huarache\r\n/m/05b2qyy,Stinson airliner\r\n/m/05b3lfx,Uno\r\n/m/05b3t1,Slit drum\r\n/m/05b3_x4,Salto del pastor\r\n/m/05b4b76,Texas heeler\r\n/m/05b4gqd,Bugatti type 57s atalante number 57502\r\n/m/05b517,Harees\r\n/m/05b56gf,Radical sr8\r\n/m/05b5b_f,Display case\r\n/m/05b5cdh,Sunflower butter\r\n/m/05b5jtt,Utetheisa ornatrix\r\n/m/05b_5tn,Tomato omelette\r\n/m/05b65c,Hwa rang do\r\n/m/05b6bfm,Flxible metro\r\n/m/05b6sy6,European pollock\r\n/m/05b6syl,Inner tube water polo\r\n/m/05b72n,French onion soup\r\n/m/05b8dw,Dodge ramcharger\r\n/m/05b8l11,Aston martin ulster\r\n/m/05b8yj0,Marmon sixteen\r\n/m/05b97g,Sticker\r\n/m/05b9mj,Movie palace\r\n/m/05bbht,Cotton pad\r\n/m/05bdd4,Tres leches cake\r\n/m/05bdxm,Dental hygienist\r\n/m/05bfd4,Portable media player\r\n/m/05bftd,Silverfish\r\n/m/05bgc7n,Mercer series 5\r\n/m/05bhnr,Hoodie\r\n/m/05bjcj,Hiking boot\r\n/m/05bkt9,German spitz\r\n/m/05bl_4g,Oldsmobile cutlass w-31\r\n/m/05blt0j,Renault nervastella\r\n/m/05blt0t,Renault vivaquatre\r\n/m/05bm6,Nail\r\n/m/05bm7n4,Ruxton model c\r\n/m/05bmp9,Piper pa-18\r\n/m/05bmqdl,Duesenberg model ssj\r\n/m/05bmqdz,Duesenberg model j\r\n/m/05bn938,Ford sierra xr8\r\n/m/05b_nc,Backsaw\r\n/m/05bnmf2,Steyr 640\r\n/m/05bnmfg,Steyr 1500a\r\n/m/05bp2h,Troller t4\r\n/m/05bp66m,Alvis 12/50\r\n/m/05bp691,Alvis speed 25\r\n/m/05bp69t,Alvis speed 20\r\n/m/05bpj2x,Holden monaro gts\r\n/m/05bpt_v,Amc hurst sc/rambler\r\n/m/05b_q5,Shopping list\r\n/m/05bq6s,Retirement home\r\n/m/05bqh9,Macedonia\r\n/m/05bqtc,Torta caprese\r\n/m/05bqy7b,Mercury cyclone spoiler ii\r\n/m/05br1bl,Oldsmobile rallye 350\r\n/m/05b_rpv,Wrap roti\r\n/m/05bs88,Pear\r\n/m/05bsd8n,Sunbeam-talbot 2 litre\r\n/m/05bsd8y,Sunbeam-talbot ten\n/m/05bslm,Christmas island red crab\r\n/m/05bst9f,Talbot-lago t26\r\n/m/05bst9_,Talbot-lago t150c\r\n/m/05bsvl3,Tatra 12\r\n/m/05btspw,Vauxhall 14/6\r\n/m/05bvcl,Swiss ball\r\n/m/05bvly0,Voisin c20\r\n/m/05bvlyp,Voisin c27\r\n/m/05bvlys,Voisin c28\r\n/m/05bx6n,Black forest cake\r\n/m/05bxlr,Thimbleberry\r\n/m/05by2s,Tar\r\n/m/05by9c,Tar\r\n/m/05bzkw4,Volkswagen concept bluesport\r\n/m/05bzq85,Vanilla aphylla\r\n/m/05bzrrm,Armstrong siddeley hurricane\r\n/m/05bzyr,Rackets\r\n/m/05c0k0,Appletini\r\n/m/05c0kwy,Fiat bravo\r\n/m/05c0n6k,Label\r\n/m/05c1628,Aerialist\r\n/m/05c1gv5,Bmw 315\r\n/m/05c1y0q,Kasha varnishkes\n/m/05c1ypb,Nap\r\n/m/05c21l,South russian ovcharka\r\n/m/05c2l61,Ron zacapa centenario\r\n/m/05c2lbh,Ada\r\n/m/05c353,Roti prata\r\n/m/05c356_,Gondi dumpling\r\n/m/05c35z3,Tiostrea chilensis\r\n/m/05c3bqf,Khartal\r\n/m/05c3kv_,Bmw 320\r\n/m/05c41m,Moschatel family\r\n/m/05c4vpb,Mercedes-benz viano\r\n/m/05c53lg,Bmw 3/20\r\n/m/05c5_4k,Poppy seed\r\n/m/05c5y0b,Spaghetti aglio e olio\r\n/m/05c5yzy,Bell h-13 sioux\r\n/m/05c5z_4,Batata vada\r\n/m/05c60tl,Common bottlenose dolphin\r\n/m/05c62s6,Tortilla\r\n/m/05c_72,Audi q5\r\n/m/05c85v5,Buick series 40 special\r\n/m/05cchl,Arizona Cypress\r\n/m/05cd3z,Citroën gs camargue\r\n/m/05cdkt,Volcanic plug\r\n/m/05cdl4,Hammer drill\r\n/m/05_cf1,Ford everest\r\n/m/05cfj6x,Mythical creature\r\n/m/05cfqh,Ding dong\r\n/m/05chgz,Beehive\r\n/m/05chph3,Lagonda m45\r\n/m/05chph9,Lagonda lg45\r\n/m/05chphd,Lagonda lg6\r\n/m/05chphh,Lagonda v12\r\n/m/05cjffn,Kissel gold bug\r\n/m/05cjxb,Frucade\r\n/m/05ckpw,Gilliflower\r\n/m/05cmcg,Chamaemelum nobile\r\n/m/05cpp4,Ais kacang\r\n/m/05cq63,Kue\r\n/m/05cq7h,Malva\r\n/m/05crph9,Humber snipe\r\n/m/05crz,Nerve\r\n/m/05ctqp,Chicken coop\r\n/m/05ctyq,Tennis ball\r\n/m/05cwb25,Hudson super six\r\n/m/05cwppr,Hotchkiss am2\r\n/m/05cwppv,Hotchkiss am80\n/m/05cwpq3,Hotchkiss 686\r\n/m/05cwx78,Horch 780\r\n/m/05cwx7y,Horch 830 bl\r\n/m/05cwx83,Horch 930 v\r\n/m/05cwx8h,Horch 951 a\r\n/m/05cwx8p,Horch 853\r\n/m/05cwx8s,Horch 853 a\r\n/m/05cwx8w,Horch 855\r\n/m/05cyjh_,Frazer nash le mans replica\r\n/m/05cyjhq,Frazer nash tt replica\r\n/m/05czrj,Ss 1\r\n/m/05czsy,Official residence\r\n/m/05czvs,Ss jaguar 100\r\n/m/05czxw,Coping saw\r\n/m/05d1_4,Norfolk terrier\r\n/m/05d1kv,Keyhole saw\r\n/m/05d1v1t,Figure skater\r\n/m/05d283,Replenishment oiler\r\n/m/05d2m7,Truck driver\r\n/m/05d3s7,Sow thistles\r\n/m/05d3wv,Kaiser roll\r\n/m/05d_64,Burton\r\n/m/05d6hc,Flat iron steak\r\n/m/05d_8m,Spoiler\r\n/m/05d8xp,Solo\r\n/m/05d8z1,Wing tsun\r\n/m/05dbp5v,Mercedes-benz w31\r\n/m/05dbpkb,Mercedes-benz 230\r\n/m/05dc8f,Salep\r\n/m/05dchz,Za'atar\r\n/m/05dcxv,Ras el hanout\r\n/m/05dd3x,Shichimi\r\n/m/05dhld,Grumman ov-1 mohawk\r\n/m/05dlb,Navy\r\n/m/05dpn0q,Cord l-29\r\n/m/05dpxd,Caulerpa\r\n/m/05dsq7,Casting (fishing)\r\n/m/05dxfj,Water organ\r\n/m/05d_xk,Autograss\r\n/m/05dyhs,Breathalyzer\r\n/m/05dyln,Banana cream pie\r\n/m/05dz56,Sandwich toaster\r\n/m/05f2b,Netball\r\n/m/05f37s5,Snickers salad\r\n/m/05f3dht,Citroën ds3\r\n/m/05f3rp5,Pincers\r\n/m/05f3zzm,Kia potentia\r\n/m/05f4_04,Fa gao\r\n/m/05f4302,Puya venusta\r\n/m/05f49n7,Crocosmia × crocosmiiflora\r\n/m/05f4fbd,Datsun bluebird 910\r\n/m/05f52h,Gaz-m20 pobeda\r\n/m/05f563,Amc concord\r\n/m/05f59g9,Variegated Fritillary\r\n/m/05f5g1r,Artificial nails\r\n/m/05f5n64,Southeastern Crown Snake\r\n/m/05f5sz8,Hispano-suiza j12\r\n/m/05f61nq,Nissan bluebird (u14)\r\n/m/05f62b0,Stringozzi\r\n/m/05f65_q,Acqua pazza\r\n/m/05f6g5p,Mexican holdback\r\n/m/05f6p,Nine-ball\r\n/m/05f6ybn,Common Mud Turtle\r\n/m/05f725,Leaf vegetable\r\n/m/05f787t,Tumpeng\r\n/m/05f7cqr,Ssangyong istana\r\n/m/05f7f47,Mado\r\n/m/05f7yh,Network administrator\r\n/m/05f81zd,Nissan juke\r\n/m/05_f8x,Mazda b-series\r\n/m/05f8yp5,Hydraulic splitter\r\n/m/05f97k_,Rabri\r\n/m/05f9npt,Acanthocereus tetragonus\r\n/m/05f9xw6,Mississippi Map Turtle\r\n/m/05fb1fg,Fingerling potato\r\n/m/05fb3q6,Networking cables\r\n/m/05fb6lx,Citroën ds inside\r\n/m/05fb7f,Piasecki h-21\r\n/m/05fbb9n,Black awareness day\r\n/m/05fbjrk,Nissan bluebird (u13)\r\n/m/05fblh,Habitat\r\n/m/05fbly,Lancia lambda\r\n/m/05fc5wj,Mitsubishi minicab\r\n/m/05fc6v7,Farro\r\n/m/05fc7_3,Isuzu amigo\r\n/m/05fc7x6,Peanut paste\r\n/m/05fc9mj,Christmas decoration\r\n/m/05fc9y1,Grape leaves\r\n/m/05fcxd,Gaz-12 zim\r\n/m/05fdr,New year\r\n/m/05f_dx,Sealed crustless sandwich\r\n/m/05ffc7,Dacia lăstun\r\n/m/05_ffd,Foam core\r\n/m/05fh2,Nursing\r\n/m/05fhj1,Lcvp\r\n/m/05fhrt,Suzuki cultus\r\n/m/05fj1t,Suzuki escudo\r\n/m/05fmhp,Computer speaker\r\n/m/05fmlt,Buck's fizz\r\n/m/05fny,Nebula\r\n/m/05_fqh,Plastic wrap\r\n/m/05fw1y,Pigtail\r\n/m/05fw3b,Egg slicer\r\n/m/05fwb,Number\r\n/m/05fx5b,Peddler\r\n/m/05fy2h,Mountain alder\r\n/m/05fy51,Nissan hardbody truck\r\n/m/05fzyb,Payot\r\n/m/05g0_z,Table salt\r\n/m/05g3yw,Jianzi\r\n/m/05g7dn,Hyundai excel\r\n/m/05g8_2n,Balvenie doublewood\r\n/m/05g8zr,Mansaf\r\n/m/05gbwj,Carne asada\r\n/m/05gctc,Four species\r\n/m/05gcwt,Arctic char\r\n/m/05ggzxg,Mercedes-benz 200\r\n/m/05ghpf1,Daimler de36\r\n/m/05gjcf,Hyla\r\n/m/05gk5c,Bowling ball\r\n/m/05gkmz,Coyotas\r\n/m/05gkw3,Shootfighting\r\n/m/05gldx,Beaked hazelnut\r\n/m/05gmc2,Snowkiting\r\n/m/05gnb4,Saab 9-x\r\n/m/05gny,Nova\r\n/m/05gqfk,Plastic bag\r\n/m/05gv5n,Time attack\r\n/m/05gvsc,Reciprocating saw\r\n/m/05gw1s,Skijoring\r\n/m/05gw9r,Water spinach\r\n/m/05g_xw,Malabar spinach\r\n/m/05gz5,National park\r\n/m/05h08,Neapolitan ice cream\r\n/m/05h0h0,Bull terrier\r\n/m/05h0n,Nature\r\n/m/05h0pv,Australian silky terrier\r\n/m/05h19n,Bull terrier (miniature)\r\n/m/05h1bh3,Bucciali tav 12\n/m/05h1xvt,Nuvo\r\n/m/05h2_4,Diamondback Terrapin\r\n/m/05h24v4,Proton exora\r\n/m/05h2v35,Jumping\r\n/m/05h35z,Formula racing\r\n/m/05h39p0,Chrysler 200c ev\r\n/m/05h49q,Jeep commander (xk)\r\n/m/05h4d4h,Fourth generation lexus ls\r\n/m/05h53fj,Sugar nips\r\n/m/05h54,Neurosurgery\r\n/m/05h5czd,Double cross vodka\r\n/m/05h5mms,Casting\r\n/m/05h5m,Nintendo 64\r\n/m/05h5p2n,Kia forte\r\n/m/05h5pf4,Orbitron\r\n/m/05h5q_s,Glider\r\n/m/05_h7,Physical therapy\r\n/m/05h7rm,Coloring book\r\n/m/05h83,Non-fiction\r\n/m/05h90cy,Bucciali tav 8\r\n/m/05h9d4,North american a-36 apache\r\n/m/05hbp4,Lardon\r\n/m/05h_bw,Honda concerto\r\n/m/05hc9_,Pork chop\r\n/m/05hdp_8,Delage d6-70\r\n/m/05hdp_j,Delage d8-120\r\n/m/05hg54,Commercial building\r\n/m/05hgj,Novel\r\n/m/05hglr,Twinflower\r\n/m/05hhk_,Lawn ornament\r\n/m/05hjx2,Easter vigil\r\n/m/05hk08f,Speed skater\r\n/m/05hp41,Car wash\r\n/m/05hqv_,Pease pudding\r\n/m/05hsx3,Glucose meter\r\n/m/05htnj,Wood shaper\r\n/m/05hvt,Nutcracker\r\n/m/05hw3k,Laboratory flask\r\n/m/05hwg9,Slippery elm\r\n/m/05hxf1,Bonbon\r\n/m/05hy5v,Red backed voles\r\n/m/05hylf,Lorina\r\n/m/05j0m8,Smoketree\r\n/m/05j0rg,Boutique hotel\r\n/m/05j0w,Nintendo entertainment system\r\n/m/05j11x,Rear-view mirror\r\n/m/05j1d1,Zanthoxylum clava-herculis\r\n/m/05j2y,Neo geo pocket\r\n/m/05j36_,Index card\r\n/m/05j3rm,Alfa romeo 145\r\n/m/05j46k,Alfa romeo 8c\r\n/m/05j5g_,Pot pie\r\n/m/05j5z9,Dennis dart\r\n/m/05j62p,Fire station\r\n/m/05j63f,Mg mga\r\n/m/05j655,Mg t-type\r\n/m/05j7sp,Agaricus\r\n/m/05j7xy,Lanchester motor company\r\n/m/05j98,Neo geo\r\n/m/05j9hq,Bajo sexto\r\n/m/05jb16,Hummer h3\r\n/m/05jbfr,Insect repellent\r\n/m/05jbs9,Schuppan 962cr\r\n/m/05jfww,Alfa romeo 75\r\n/m/05jh2z,Calipers\r\n/m/05jh_c,Spa\r\n/m/05jhg,News\r\n/m/05jhwx,Bugatti type 49\r\n/m/05jj4l,Bugatti type 57\r\n/m/05jjjm,Austin-healey 100\r\n/m/05jk2g,Mg midget\r\n/m/05jk2t,Flotel\r\n/m/05j_l5,Bruschetta\r\n/m/05jlh5,Saltbush\r\n/m/05jn70,Hiller x-18\r\n/m/05jnl,Newspaper\r\n/m/05jqpx,Primrose\r\n/m/05jrm8,Competitive eating\r\n/m/05jrv,Nori\r\n/m/05jsym,Ford explorer sport trac\r\n/m/05jsyz,Wheatgrass\r\n/m/05jv74,Daewoo magnus\r\n/m/05jw9y,Austin atlantic\r\n/m/05jy48,Tsuzumi\r\n/m/05k272,Mititei\r\n/m/05k3gf,Hyundai accent\r\n/m/05k3py,Douglas' meadowfoam\r\n/m/05k4hp,Isuzu i-series\r\n/m/05k5j6,Alchermes\r\n/m/05k69p,Lotus excel\r\n/m/05k6g21,Lagunitas maximus\r\n/m/05k768,Gamekeeper\r\n/m/05kb8w,Chuck\r\n/m/05kbtq,Ford mustang mach 1\r\n/m/05kbv1,Iced coffee\r\n/m/05kc0j,Gauge\r\n/m/05kc29,Combat sport\r\n/m/05kctv,Videographer\r\n/m/05kf3q,Chevrolet luv\r\n/m/05kfjd,Goosefoot\r\n/m/05kgv3,Flageolet\r\n/m/05khgx,Ashtray\r\n/m/05khh,Operating system\r\n/m/05km16,Combat medic\r\n/m/05km25g,Scholar\r\n/m/05km2c,Lancia montecarlo\r\n/m/05km8,Oasis\r\n/m/05k_m_,Lancia flavia\r\n/m/05kms,Oboe\r\n/m/05kp_b,Tap wrench\r\n/m/05kq4,Ocean\r\n/m/05ktd9,Cheese slicer\r\n/m/05kvpd,Stottie cake\r\n/m/05kwkd,Finswimming\r\n/m/05kw_,Oregano\r\n/m/05kyg_,Chest of drawers\r\n/m/05ky_m,Passport canada\r\n/m/05kyz6,Sikorsky s-67 blackhawk\r\n/m/05kz7n,Rajapalayam\r\n/m/05l0cw,Mortuary temple\r\n/m/05l0d6,Cucumber tree\r\n/m/05l4dt,Morinda\r\n/m/05l5fb,Robot combat\r\n/m/05_l6t,Ford ltd ii\r\n/m/05l71t,Maple taffy\r\n/m/05l8jv,Ironworker\r\n/m/05lfcp,Datsun roadster\r\n/m/05lfsg,Waste collector\r\n/m/05lg58,Pupusa\r\n/m/05lhbt,Nissan gloria\r\n/m/05lhh1,Nissan cedric\r\n/m/05lh_h,Nissan president\r\n/m/05ljjg,Tureen\r\n/m/05ljv7,Omnichord\r\n/m/05ll37,Sports commentator\r\n/m/05lls,Opera\r\n/m/05lms,Bony-fish\r\n/m/05lnbt,Honda orthia\r\n/m/05lp25,Sewellel\r\n/m/05lpsq,Panela\r\n/m/05lqr8,Chhath\r\n/m/05lqrm,Volvo vesc\r\n/m/05lqvr,Volvo pv801-10\r\n/m/05lvkd,Peach palm\r\n/m/05lw7z,Bin bag\r\n/m/05lx02,Mongolian wrestling\r\n/m/05lxrn,Cholado\r\n/m/05lyvh,Glassworm\r\n/m/05m1gh,Fasolada\r\n/m/05m_32d,Pekapoo\r\n/m/05m423,Pachycephalosaurus\r\n/m/05m44p,Jeep compass\r\n/m/05m4m,Orangutan\r\n/m/05m5qs,Skyr\r\n/m/05m68n,Gaohu\r\n/m/05m8_w,Strudel\r\n/m/05m__92,Splenda\r\n/m/05m9t,Open-wheel car\r\n/m/05mb6,F1 Powerboat Racing\r\n/m/05mdbv,Hasenpfeffer\r\n/m/05mf2t,Concrete bridge\r\n/m/05mfbz,Optical instrument\r\n/m/05mk1s,Riparian forest\r\n/m/05mkx3,Esraj\r\n/m/05ml4,Olive oil\r\n/m/05mln,Olive\r\n/m/05mlp2,Vernissage\r\n/m/05mpf4,Underwater rugby\r\n/m/05mpgz,Wood chopping\r\n/m/05mqg6j,Wazwan\r\n/m/05mqhn8,Spring pancake\r\n/m/05mqq3,Snout\r\n/m/05mqw39,Bmw 3 series gran turismo\r\n/m/05mr95,Tamago kake gohan\r\n/m/05mscjt,Crushed red pepper\r\n/m/05mst,Orbit\r\n/m/05msttc,Mercedes-benz sls amg\r\n/m/05msvwd,Binignit\r\n/m/05msxkq,Patatas bravas\r\n/m/05mt7m,Chrysler lhs\r\n/m/05mt90y,Cretan lyra\r\n/m/05mv_63,Philippine adobo\r\n/m/05mv93s,Tremella\r\n/m/05mv9l,Cadillac sixty special\r\n/m/05mvlg,Cadillac series 60\r\n/m/05mvw3t,Radiator\r\n/m/05mw0y5,Maxximus g-force\r\n/m/05mwb6k,Glider\r\n/m/05mws43,Least Skipper\r\n/m/05mwvd,Showgirl\r\n/m/05mx3n,Auxiliary bishop\r\n/m/05mxj0q,Box-sealing tape\r\n/m/05mxny3,Egyptian lavender\r\n/m/05my6m6,Hairstyling product\r\n/m/05my9xh,Cuisine of madrid\r\n/m/05mygjg,Techart gtsport\r\n/m/05myhm,Woolflowers\r\n/m/05myktq,Koenigsegg quant\r\n/m/05myltb,Acura arx-02a\r\n/m/05my_w1,Saw chain\r\n/m/05myx3,Migas\r\n/m/05mz2n,Orchestrion\r\n/m/05mz8,Orienteering\r\n/m/05mz90g,Jam sandwich\r\n/m/05n016l,Chistorra\r\n/m/05n024z,Polkagris\r\n/m/05n02ml,Dacia duster\r\n/m/05n1hk8,Lemon peel\r\n/m/05n1hyk,Apricot brandy\r\n/m/05n1hyx,Papaya juice\r\n/m/05n1hzw,Batida\r\n/m/05n1jmw,Dry vermouth\r\n/m/05n1rl,Willys-overland jeepster\r\n/m/05n4t8z,Orange liqueur\r\n/m/05n4tjz,Guava juice\r\n/m/05n4t_w,Vanilla ice cream\r\n/m/05n4vs4,Caipisake\r\n/m/05n4y,Ostrich\r\n/m/05n5tgz,Red food coloring\r\n/m/05n6kbj,Cherry liqueur\r\n/m/05n6llv,Cape cod\r\n/m/05n6mpy,Greyhound\r\n/m/05n775,Spectacle\r\n/m/05n7f3,Nutritional yeast\r\n/m/05n7n62,Passion fruit juice\r\n/m/05n7nmg,Mudslide\r\n/m/05n80l3,Rusty nail\r\n/m/05n8yc6,Champagne cocktail\r\n/m/05n8zkb,Kir royale\r\n/m/05n9bcq,Peppermint schnapps\r\n/m/05n9wh,Procession\r\n/m/05nf1y,Sobrassada\r\n/m/05nfwy,Sikorsky s-92\r\n/m/05nhl8,Bristol fighter\r\n/m/05njfc,Gallo pinto\r\n/m/05nj_s,Exhaust system\r\n/m/05nm7r,Hallaca\r\n/m/05nmk4,Laddu\r\n/m/05nn3t,Smoked salt\r\n/m/05nnm,Organism\r\n/m/05np0b,Varnish tree\r\n/m/05npqn,Theatre\r\n/m/05nqf_,Oyster sauce\r\n/m/05nt0d,Moronidae\r\n/m/05nt1k,Currywurst\r\n/m/05ntql,Cadillac fleetwood brougham\r\n/m/05nv3f,Cadillac series 70\r\n/m/05nw86,Cadillac series 62\r\n/m/05nw8k,Cadillac series 61\r\n/m/05nzzwq,Thermal bag\r\n/m/05p0hkc,The last word\r\n/m/05p0tsj,Food storage containers\r\n/m/05p1fb,Gagea\r\n/m/05p26fj,Acura zdx\r\n/m/05p2t6r,Fatayer\r\n/m/05p341,Panther solo\r\n/m/05p368,Pin\r\n/m/05p37dx,Led-backlit lcd display\r\n/m/05p37v,Panther de ville\r\n/m/05p3dj,Panther kallista\r\n/m/05p3g7,Panther j72\r\n/m/05p3ygh,Mantle\r\n/m/05p4b63,Hemp milk\r\n/m/05p4hd0,Volkswagen polo mk5\r\n/m/05p4rx6,Serbian bellflower\r\n/m/05p4z41,Mirrorless interchangeable-lens camera\r\n/m/05p50t_,Marguerite daisy\r\n/m/05p53hq,Ford xf falcon\r\n/m/05p553,Comedy\r\n/m/05p5f1l,Tres generaciones\r\n/m/05p5f4b,Toyota regius\r\n/m/05p5f9,Breastplate\r\n/m/05p5lw,Daube\r\n/m/05p6bkx,Meju\r\n/m/05p73jp,Mantecadas de astorga\r\n/m/05p77z,Dendrobium crumenatum\r\n/m/05p7g00,Pinfish\r\n/m/05p7__,Water chestnut\r\n/m/05p7xwv,Usal\r\n/m/05p7zy,Hpnotiq\r\n/m/05p8lcf,Austin k5\r\n/m/05p8pcr,Ford xt falcon\r\n/m/05p918s,Axe of perun\r\n/m/05p9jft,Clam sauce\r\n/m/05p9vj,Artistic roller skating\r\n/m/05pb37p,Emergency tow vessel\r\n/m/05pb5vj,Ford falcon gt\r\n/m/05pbkhk,Chiburekki\r\n/m/05pd6,Orchestra\r\n/m/05pd9bg,European plum\r\n/m/05pdb4q,Purple rain\r\n/m/05pdb5g,Malt house\r\n/m/05pdbjq,Belgian waffle\r\n/m/05pdb_q,Kokle\r\n/m/05pdc02,Ford xe falcon\r\n/m/05pdc0v,Ford ea falcon\r\n/m/05pdc16,Ford eb falcon\r\n/m/05pdd6b,Explosion crater\r\n/m/05pdd_v,Fire department\r\n/m/05pdg2q,British longhair\r\n/m/05pdq,Oolong\r\n/m/05pdxb,Chelidonium\r\n/m/05pf4,Okapi\r\n/m/05pfqg,Grain milk\r\n/m/05phd9,Ohio Buckeye\r\n/m/05pjb,Orchid\r\n/m/05pjly,Hong Kong cuisine\r\n/m/05pkpc,Postage meter\r\n/m/05plq_,Brown rice syrup\r\n/m/05pnb1,Loki\r\n/m/05pszw,Smalahove\r\n/m/05pvs9,Fireman\r\n/m/05pwhk,Barley malt syrup\r\n/m/05pws,Old fashioned\r\n/m/05py0,Octopus\r\n/m/05py4h,Old danish pointer\r\n/m/05pyhd,Tibetan terrier\r\n/m/05pz17,Sea beet\r\n/m/05q0q,Limited overs cricket\r\n/m/05q2dj,Nasi kandar\r\n/m/05q3k,Operational amplifier\r\n/m/05q3vw,Hesperornis\r\n/m/05q487w,Kokis\r\n/m/05q4nhj,Suzuki\r\n/m/05q5v1v,Kurilian bobtail\r\n/m/05q6nq,Gunpowder tea\r\n/m/05q7015,Lissotriton\r\n/m/05q70mq,Turkey ham\r\n/m/05q73rj,Trabaccolo\r\n/m/05q778,Dog collar\r\n/m/05q7s0k,Puchero\r\n/m/05q7wc4,Fricot\r\n/m/05q86xj,Mercedes-benz f-cell roadster\r\n/m/05q8jtc,Bordered Patch\r\n/m/05q9kj0,Bluejacket\r\n/m/05q9ll7,Panduri\r\n/m/05q9zh_,Pickup truck racing\r\n/m/05qb9l1,Fish pond\r\n/m/05_qc2,Scarlet gourd\r\n/m/05qc_,Planet\r\n/m/05qd8c,Dodge super bee\r\n/m/05qdh,Painting\r\n/m/05qf5p,Dodge a100\r\n/m/05qfbp,Pakhala\n/m/05qgc4,Polish lowland sheepdog\r\n/m/05qgc,Poetry\r\n/m/05qhz9,Mound-building termites\r\n/m/05qjc,Performing arts\r\n/m/05qjf1,Dodge d series\r\n/m/05qjg3,Dodge c series\r\n/m/05qjgg,Dodge b series\r\n/m/05qjvt,Sikorsky h-34\r\n/m/05qk80,Oriental poppy\r\n/m/05_qnc,Tinda\r\n/m/05qsj,Primate\r\n/m/05qtv1,Western lowland gorilla\r\n/m/05qwxx,Ford model y\r\n/m/05qy47,Galápagos tortoise\r\n/m/05qyln,Mat\r\n/m/05qzrf,Cream pie\r\n/m/05r1j,Poker\r\n/m/05r336,Moonwalk\r\n/m/05r_39,Austin a40 devon\r\n/m/05_r3f,Unity candle\r\n/m/05r_4b,Austin a40 sports\r\n/m/05_r58,Caigua\r\n/m/05r5c,Piano\r\n/m/05r_5v,Austin a40 somerset\r\n/m/05r5wn,Rattle\r\n/m/05r655,Girl\r\n/m/05r733,Kosher salt\r\n/m/05r8py,Butajiru\r\n/m/05r8xf,Mitsubishi fto\r\n/m/05r_94,Austin cambridge\r\n/m/05rbmc,Common shepherd's purse\r\n/m/05rcnr,Snowball fight\r\n/m/05rd2s,Street racing\r\n/m/05rd8,Pope\r\n/m/05rds,First Day of Passover\r\n/m/05_rh2,Yellow nutsedge\r\n/m/05rhq2,Knee-high boot\r\n/m/05r_j4,Austin a70\r\n/m/05r_j,Petroleum\r\n/m/05rlf9,Riley pathfinder\r\n/m/05rlgq,Riley two-point-six\r\n/m/05rlk4,Riley one-point-five\r\n/m/05rm14,Ultima gtr\r\n/m/05rnwm,Hispano-suiza h6\r\n/m/05rqnk,Power seat\r\n/m/05rqsf,Black mustard\r\n/m/05rr0j,Chocolate chip\r\n/m/05rrpw,Charoset\r\n/m/05rrz2,Train ferry\r\n/m/05rs6p,Lamborghini lm002\r\n/m/05rs73,Lemonsoda\r\n/m/05rtdp,Pabellón criollo\r\n/m/05rth4,Cachapa\r\n/m/05rtnj,Button accordion\r\n/m/05rwf9,Bronze hammerhead shark\r\n/m/05ryq,Shuffling\r\n/m/05rzkv,Austin a30\r\n/m/05rzqt,Austin a35\r\n/m/05rzw1,Austin a40 farina\r\n/m/05s07p,Grapefruit juice\r\n/m/05s0c,Poultry\r\n/m/05s_0cx,Checker aerobus\r\n/m/05s27f,Mg magnette za\r\n/m/05s28,Parsley\r\n/m/05s2s,Plant\r\n/m/05s38,Peppermint\r\n/m/05s391,Gungdo\r\n/m/05s3ms,Olde english 800\r\n/m/05s45,Poales\r\n/m/05s4yh,Innocenti mini\r\n/m/05s6n2,Brain coral\r\n/m/05s771,Synthetic rubber\r\n/m/05s87b,Isuzu trooper\r\n/m/05s8_t,Wolseley 6/90\r\n/m/05s92k,Pacific gopher snake\r\n/m/05s988,Wolseley 15/60\r\n/m/05s9pk,Austin westminster\r\n/m/05s_bc1,Penteconter\r\n/m/05_sd3,Blenheim ginger ale\r\n/m/05sdqy,Fiat 242\r\n/m/05sf52,Acura rdx\r\n/m/05sfny,Ford custom\r\n/m/05sfw_,Cocktail dress\r\n/m/05sfy0,Löwchen\r\n/m/05sj9x,Alligator gar\r\n/m/05sl2,Peninsula\r\n/m/05sm1,Plain\r\n/m/05snw,Physicist\r\n/m/05sp3y,Mg f / mg tf\r\n/m/05sqq61,Pasta with pancetta\r\n/m/05sqq8b,Extra virgin olive oil\r\n/m/05ss8d,Vodka and tonic\r\n/m/05stx4,Fermented fish\r\n/m/05sv1,Passport\r\n/m/05s_vms,Satyr Comma\r\n/m/05svn5,Pastitsio\r\n/m/05svnw,Two-man saw\r\n/m/05svw4,Plymouth prowler\r\n/m/05sxlfz,Mofletta\r\n/m/05sxlsm,Panucho\r\n/m/05sxvp,Sports sedan\r\n/m/05sy38p,Energy shot\r\n/m/05syg1s,Snow crocus\r\n/m/05sygl,Pontiac safari\r\n/m/05syqj9,Aggressive inline skating\r\n/m/05sywrp,Pholidota\r\n/m/05sz81t,Yorkipoo\r\n/m/05szbjw,Cretan crocus\r\n/m/05szbqc,Mini rugby\r\n/m/05szw3h,Tommie crocus\r\n/m/05t02,Pda\r\n/m/05t06b,Wood stain\r\n/m/05t0y8q,Goat meat\r\n/m/05t0ydv,Solar power\r\n/m/05t0z3q,Bank\r\n/m/05t0zvl,Lomo\r\n/m/05t252,Volpino italiano\r\n/m/05t4bb,Salsa dance\r\n/m/05t4bp,Trucker hat\r\n/m/05t4n9,Rover p6\r\n/m/05t4pp,Kifli\r\n/m/05t4q,Physician\r\n/m/05t5lr,Dayflower family\r\n/m/05t5nl,Grumman american aa-1\r\n/m/05t6bw,Pasties\r\n/m/05t6xt,Daewoo lemans\r\n/m/05t714,Chevrolet spark\r\n/m/05t85w,Teleconverter\r\n/m/05t8cz,Subaru r2\r\n/m/05t8f2,Subaru r1\r\n/m/05t959,Rover p5\r\n/m/05t9f9,Honda avancier\r\n/m/05tbqb,Coton de tulear\r\n/m/05tbvc,Daewoo leganza\r\n/m/05tcy5,Animal training\r\n/m/05tfch,Road bicycle racing\r\n/m/05thbm,Porsche panamera\r\n/m/05t_hm,Bentley t-series\r\n/m/05thtj,Organ pipe\r\n/m/05tj_r,Kia optima\r\n/m/05tk3d,Chrysler pacifica\r\n/m/05tmh,Smartweed-buckwheat family\r\n/m/05tnft,Toyota vista\r\n/m/05tnk8,Toyota carina\r\n/m/05tnl1,Toyota allion\r\n/m/05tpff,Lancia 037\r\n/m/05t_pq,Gun turret\r\n/m/05tr1r,Athletic trainer\r\n/m/05trfx,Cooter\r\n/m/05trn7,Florida Redbelly Turtle\r\n/m/05trrf,Hazmat suit\r\n/m/05ts1c,Peel p50\r\n/m/05tsfr,Grape hyacinth\r\n/m/05tsgk,Mimosa tenuiflora\r\n/m/05twdh,Submarine canyon\r\n/m/05t_yt,Carmine\r\n/m/05tz5y,Doghouse\r\n/m/05v17t,Bight\r\n/m/05v1q7,Red meat\r\n/m/05v2t3,Sufganiyah\r\n/m/05v3t6,American mastiff\r\n/m/05v3y4,Isuzu oasis\r\n/m/05v_4b,College softball\r\n/m/05v4tn,Lekvar\r\n/m/05v67qc,Quiche lorraine\n/m/05v6844,Green pea risotto\n/m/05v684b,Minted peas\n/m/05v6869,Creamed spinach\r\n/m/05v687l,Baked sweet potato\r\n/m/05v6cdn,Rye flour\r\n/m/05v6wv,Airheads\r\n/m/05v9p8,Cooler\r\n/m/05vgdn,Tofu skin\r\n/m/05vjqp,African food\r\n/m/05vk9d,Opel diplomat\r\n/m/05vkq5,Campdrafting\r\n/m/05vl39,Gristmill\r\n/m/05vlpz,Honda z\r\n/m/05vtc,Potato\r\n/m/05vtr_,Mercedes-benz w120\r\n/m/05vtv3,Mercedes-benz w114\r\n/m/05vtvh,Mercedes-benz w123\r\n/m/05vtvw,Mercedes-benz w124\r\n/m/05v_tz,Dog scootering\r\n/m/05vv1c,Feather boa\r\n/m/05vvpw,Folkrace\r\n/m/05vxpt,Shoe tree\r\n/m/05vyk,Pianist\r\n/m/05vz5j,Mercedes-benz r107 and c107\r\n/m/05vz79,Mercedes-benz r129\r\n/m/05w01x,Mercedes-benz w219\r\n/m/05w0bm,Folder\r\n/m/05w0sv,Daewoo nubira\r\n/m/05w1cy,Peugeot 203\r\n/m/05w271,Naranjilla\r\n/m/05w3m6,Sadya\r\n/m/05w4f,Perciformes\r\n/m/05w4y,Pawpaw\n/m/05w55l,Nissan gazelle\r\n/m/05w5gm,Side cap\r\n/m/05w5k3,Liberty spikes\r\n/m/05w5xh,Nissan cima\r\n/m/05w8kb,Pneumatic tool\r\n/m/05w9t9,Hair spray\r\n/m/05w9z,Blowfish\r\n/m/05wb76,Tang soo do\r\n/m/05wd2g,Daewoo lacetti\r\n/m/05wg_1,Cessna 402\r\n/m/05wgwh,Sweetness\r\n/m/05wgx5,Dip\r\n/m/05wgy,Pediatrics\r\n/m/05wkw,Photography\r\n/m/05wlmq,Mercury colony park\r\n/m/05wn0,Pump\r\n/m/05w_n7,Cashew chicken\r\n/m/05wqv,Parish\r\n/m/05wrt,Property\r\n/m/05ws7,Police\r\n/m/05ww27,Temper tantrum\r\n/m/05wy2,Gasoline\r\n/m/05wz1,Propane\r\n/m/05_x07,Crème de menthe\r\n/m/05x_0h,Sea eagle\r\n/m/05x156,Nacatamal\r\n/m/05x3jb,Downhill mountain biking\r\n/m/05x3lk,Opel olympia\r\n/m/05x515,Terminalia catappa\r\n/m/05x611,Tofurkey\r\n/m/05x6d2,Fishfinder\r\n/m/05x_6l,Western conifer seed bug\r\n/m/05x6th,Recital\r\n/m/05x6xs,Maserati 3200 gt\r\n/m/05x83x,Ford elite\r\n/m/05xh2,Pyramid\r\n/m/05xhgh,Haw flakes\r\n/m/05xjb,Priest\r\n/m/05xjkg,Infiniti qx70\r\n/m/05xkk1,Graphics software\r\n/m/05xknm,Pallone\r\n/m/05xl0b,Canada columbine\r\n/m/05xlb1,Korean royal court cuisine\r\n/m/05xlqv,Cullen skink\r\n/m/05xmk0,Red bugs\r\n/m/05xnqg,Street food\r\n/m/05xsvq,Channel Catfish\r\n/m/05xt4,Propeller\r\n/m/05xwg,Pokémon\r\n/m/05xxf0,Mud wrestling\r\n/m/05xyb,Platypus\r\n/m/05xzfh,Eritrean cuisine\r\n/m/05y05k,Shoe polish\r\n/m/05y0x,Pilgrimage\r\n/m/05y18l,Cicely\r\n/m/05y1k_,Shack\r\n/m/05y1s1,Common rue\r\n/m/05y236,New guinea singing dog\r\n/m/05y37l,Chokladboll\r\n/m/05y3z,Pluot\r\n/m/05y4t,Paint\r\n/m/05y5kt,Texas toast\r\n/m/05y5lj,Sports equipment\r\n/m/05y5lx,Maremma sheepdog\r\n/m/05y5rb,Harira\r\n/m/05y6jx,Eastern tent caterpillar\r\n/m/05y929,Kia sorento\r\n/m/05ybr2,Black cherry\r\n/m/05ybt9,Ford exp\r\n/m/05yc5f,Bugatti type 13\r\n/m/05ycq0,Bugatti type 35\r\n/m/05yd1s,Bugatti type 51\r\n/m/05yf34,Bugatti type 18\r\n/m/05yfr9,Bugatti royale\r\n/m/05yfzw,Bugatti type 46\r\n/m/05yg07,Bugatti type 55\r\n/m/05yg8t,Bugatti type 101\r\n/m/05ygf_,Bugatti type 32\r\n/m/05_ykb,Dodger dog\r\n/m/05ykl4,Ornament\r\n/m/05yl0x,Atlantic spanish mackerel\r\n/m/05__yl,Chevrolet celta\r\n/m/05ymq6,Cessna 210\r\n/m/05ymtc,Moonflower\r\n/m/05y_mz,Brochure\r\n/m/05ynpt,Sangharaja\r\n/m/05yqgq,Twine\r\n/m/05y_qt,Missile boat\r\n/m/05yr0_d,Oatmeal-raisin cookies\r\n/m/05yr18_,Unsalted butter\r\n/m/05yr1lg,All-purpose flour\r\n/m/05yrmc,Casuarina\r\n/m/05yry0,Figwort\r\n/m/05_yt5,Lange's Metalmark\r\n/m/05ytjt,Hyundai equus\r\n/m/05yw0t,Ivy gourd\r\n/m/05ywz5,Colorado River Toad\r\n/m/05yz00,Powerboating\r\n/m/05z0dz,Ammunition belt\r\n/m/05z23t,Crown vetch\r\n/m/05z2dr,Kiswah\r\n/m/05z2r1,Mitsubishi challenger\r\n/m/05z3sd,Butterfat\r\n/m/05z4v0,Rockfall\r\n/m/05z55,Pasta\r\n/m/05z6w,Penguin\r\n/m/05z86m,Lancashire heeler\r\n/m/05z87,Plastic\r\n/m/05z8jf,Shikoku\r\n/m/05z8_k,West indian gherkin\r\n/m/05zbxg,Winter savory\r\n/m/05zc1,Pulley\r\n/m/05zdp,Public transport\r\n/m/05zdsq,Desert Palm\r\n/m/05zffl,Ford comète\r\n/m/05zg44,Nissan cube\r\n/m/05zgr4,Sustain pedal\r\n/m/05zhpx,Marine corps martial arts program\r\n/m/05zhrn,Liquorice\r\n/m/05zhy0t,Dorset olde tyme bulldogge\r\n/m/05zjy6_,Lloyd lt 500\r\n/m/05zk_h_,Nasi kuning\r\n/m/05zkhv_,Serabi\r\n/m/05zl1rr,Palamedes Swallowtail\r\n/m/05zl713,Chevrolet fleetline\r\n/m/05zlhc,Cellophane noodles\r\n/m/05z_lpk,Nissan homy\r\n/m/05zmb,Parachuting\r\n/m/05zmkk,Humber super snipe\r\n/m/05zmzn1,Street dog\r\n/m/05z_n2,Chevrolet captiva\r\n/m/05zn5wp,Nissan bassara\r\n/m/05zn74q,Pneumatic torque wrench\r\n/m/05znmj9,Nsu typ 110\r\n/m/05znxfy,Quadratini\r\n/m/05zp8,Palace\r\n/m/05zppg7,Fiat abarth 850tc berlina\r\n/m/05zppz,Male person\r\n/m/05zq1hh,Abarth simca 2000\r\n/m/05zq644,Silpancho\r\n/m/05z_qbh,Tololoche\r\n/m/05zqdkz,Woodland stonecrop\r\n/m/05zq_vc,Shuanghuan noble\r\n/m/05zqz2,First communion\r\n/m/05zr1kk,Single-origin coffee\r\n/m/05zr5s2,Great wall safe\r\n/m/05zr91,Daewoo espero\r\n/m/05zr9s,Daewoo lanos\r\n/m/05zrd_,Kia carens\r\n/m/05zrnq,Daihatsu consorte\r\n/m/05zsr2v,Tvr tuscan\r\n/m/05zsrjm,Mathri\r\n/m/05zsy,Pumpkin\r\n/m/05zt_03,Isuzu faster\r\n/m/05zt3lt,Basin wrench\r\n/m/05ztbl,Chicago-style hot dog\r\n/m/05ztjv4,Boorelu\r\n/m/05ztt9v,Phin\r\n/m/05ztxs,Cheese puffs\r\n/m/05ztzd4,Tvr m series\r\n/m/05zv2hw,Ford thames 307e\r\n/m/05zvnyb,Crepis paludosa\r\n/m/05zvscb,Alinazik kebab\r\n/m/05zwks,Water boatmen\r\n/m/05zwqr,Mercedes-benz w126\r\n/m/05zwyyh,Tournedos rossini\r\n/m/05_zwz,Pastiera\r\n/m/05zx0_6,Chevrolet styleline\r\n/m/05zxk,Playstation\r\n/m/05zxmj1,Mg 6\r\n/m/05zy0jz,Medicinal mushroom\r\n/m/05zy7tv,Tvr vixen\r\n/m/05zybkf,Byd f0\r\n/m/05zyd45,Binzasara\r\n/m/05zydb,Mercedes-benz w108\r\n/m/05zygbk,Toyota gaia\r\n/m/05zyyxx,Crab cracker\r\n/m/05zzh,Porsche 928\r\n/m/05zzmyb,Volvo pv 60\r\n/m/05zzw8w,Gmc chevette\r\n/m/06005x,Tool and cutter grinder\r\n/m/0601q,Pole vault\r\n/m/0601yg,Social grooming\r\n/m/0605m,Plough\r\n/m/0605tl,Mekong giant catfish\r\n/m/0606mz,Zui quan\r\n/m/060ck9,Chaat\r\n/m/060dhf,Hong kong-style milk tea\r\n/m/060dm6,Egg tart\r\n/m/060gdf,Seal hunting\r\n/m/060jkb,I can't believe it's not butter!\r\n/m/060jx,Pan flute\r\n/m/060kj6,Sunburst Turtle\r\n/m/060kz2,Dulse\r\n/m/06_0l,Stevia\r\n/m/060m6q,Kheer\r\n/m/060n_4,Milk & cheese\r\n/m/060n65,Pacífico\r\n/m/060_r,Palm sunday\r\n/m/060s96,Lancia beta\r\n/m/060snx,Freestyle bmx\r\n/m/060sss,Flatland bmx\r\n/m/060st,Flatworm\r\n/m/060tky,Nissan x-trail\r\n/m/060tl9,Tlacoyo\r\n/m/060vmw,Aonori\r\n/m/060vvk,Cladosiphon okamuranus\r\n/m/060xfc,Honda stream\r\n/m/060z_2,Hercules beetle\r\n/m/061_09,De tomaso guarà\r\n/m/0611r,Infant baptism\r\n/m/0612cm,Douglas c-74 globemaster\r\n/m/0613qp,World book day\r\n/m/0617s2,Boilermaker\r\n/m/061bh9,Renault 14\r\n/m/061bh,Parasailing\r\n/m/061c8v,Menta\r\n/m/061d8s,Bulgarian cuisine\r\n/m/061dy3,Tarator\r\n/m/061_f,Pear\r\n/m/061h92,Hyundai tiburon\r\n/m/061hd_,Infant bed\r\n/m/061nz,Pickelhaube\r\n/m/06_1pn,Hyundai lavita\r\n/m/061ptq,Kuy teav\r\n/m/061px,Pankration\r\n/m/061q77,Lilac\r\n/m/061qnq,Tall bellflower\r\n/m/061qqf,Tvr chimaera\r\n/m/061qqs,Studebaker us6\r\n/m/061rtf,Sujuk\r\n/m/061wr5,Blue and white porcelain\r\n/m/06_1z9,Macrocystis\r\n/m/061zhw,Globe flower\r\n/m/061zz4,Fumaria\r\n/m/06203h,Folk instrument\r\n/m/06206l,Prussian asparagus\r\n/m/0621bq,Cepelinai\r\n/m/0622bf,Beach soccer\r\n/m/0622q7,English Bulldog\r\n/m/0623qg,Marine iguana\r\n/m/06244p,Window film\r\n/m/062581,Sleeve\r\n/m/06258s,Shellbark hickory\r\n/m/0626mq,Tubifex tubifex\r\n/m/062719,BloodrootSanguinaria canadensis\r\n/m/062_8m,Kho kho\n/m/0629g7,Puffed\r\n/m/062bcj,Canopy walkway\r\n/m/062c65,Lime\r\n/m/062cst,Doily\r\n/m/062d7w,Alaunt\r\n/m/062dgz,Lagotto romagnolo\r\n/m/062dl2,Celtuce\r\n/m/062f47,Ryūteki\r\n/m/062fz,Prairie dog\r\n/m/062gg,Porcupine fishes\r\n/m/062hnh,Art book\r\n/m/062l6p,Corchorus\r\n/m/062md4,Mitsubishi carisma\r\n/m/062mkt,Perodua kelisa\r\n/m/062p8x,Teja\r\n/m/062phs,Culantro\r\n/m/062qd6,Cochinita pibil\r\n/m/062s4,Porsche\r\n/m/062sn,Porsche 924\r\n/m/062t2,Pain\r\n/m/062ty,Porsche 944\r\n/m/062vc,Porsche 968\r\n/m/062vs,Porsche 912\r\n/m/062vvx,Common mudpuppy\r\n/m/062w51,Oriental cockroach\r\n/m/062y27,Podophyllum peltatum\r\n/m/062z4z,Red-footed booby\r\n/m/062zr,Public relations\r\n/m/062zrt,Freeride\r\n/m/062zyx,Rundown\r\n/m/0632_,Parliament\r\n/m/0632tn,Norwegian buhund\r\n/m/0633h,Polar bear\r\n/m/0634fk,Ferrari 330\r\n/m/06354q,Buddha's birthday\r\n/m/0638c0,Coho\r\n/m/0638rw,Oncorhynchus\r\n/m/0639gj,Pig pickin'\r\n/m/0639p9,Brush hook\r\n/m/063bnq,Wild mock-orange\r\n/m/063c7,Polo\r\n/m/063f_l,Boeing 307 stratoliner\r\n/m/063h8c,Ham and cheese sandwich\r\n/m/063km,Profession\r\n/m/063kvv,Gall Wasps\r\n/m/063_pf_,Mercedes-benz w10\r\n/m/063q89,Rebab\r\n/m/063r3,Parade\r\n/m/063rgb,Mixer\r\n/m/063sgd,Black drink\r\n/m/063syt,Electronic component\r\n/m/063t4q,Frisian handball\n/m/063trc,Leaf Footed Bugs\r\n/m/063vjv,Hyundai santa fe\r\n/m/063w2,Pencil\r\n/m/063wkj,Pickleball\r\n/m/063ycj,Soy milk maker\r\n/m/063ymk,Eastern newt\r\n/m/063_zv3,Seat salsa\r\n/m/063zzw,Italian ice\r\n/m/06402sn,Clostera\r\n/m/06408z6,Sun-dried tomato\r\n/m/064093q,\"Toyota concept vehicles, 2000–09\"\r\n/m/0640cly,Seat bolero\r\n/m/0640djj,Morris 250 ju\r\n/m/0640dyt,Nissan bluebird (u12)\r\n/m/0640l91,Ludisia\r\n/m/06416ln,Eleventh generation ford thunderbird\r\n/m/0641k5v,Seat tango\r\n/m/0641k,Paper\r\n/m/0641pz3,Steyr 100\r\n/m/0641zsq,Toyota grand hiace\r\n/m/06422_x,Tenth generation ford thunderbird\r\n/m/0642b4,Cupboard\r\n/m/0642h1j,Aviation\r\n/m/0642w0l,Disaronno\r\n/m/0642wjb,Varanidae\r\n/m/0642wr3,Goatfishes\r\n/m/0642wrw,Surform\r\n/m/0642x,Pastel\r\n/m/06432s,Lay's wow chips\n/m/0643rz3,Cross-country skier\r\n/m/0643t,Personal computer\r\n/m/06458w,Pakola\r\n/m/0645zg,Red carpet\r\n/m/0646bg,Pericallis\r\n/m/0646xy,Pint glass\r\n/m/064748,Ensatina\r\n/m/0647qj,Float\r\n/m/064955,Scholastic wrestling\r\n/m/06_49y,Jamaican patty\r\n/m/0649yj,Submarine aircraft carrier\r\n/m/064b8z,Crab rangoon\r\n/m/064bf8,Slacklining\r\n/m/064dzq,Vauxhall cresta\r\n/m/064f7,Pub\r\n/m/064f7_,Weight pulling\r\n/m/064gxc,Ferrari 125 s\r\n/m/064hb7,Ferrari 195 inter\r\n/m/064hg6,Ferrari 212 inter\r\n/m/064ht4,Ferrari 365\r\n/m/064j2b,Ferrari tr\r\n/m/064jy_j,Bronze frog\r\n/m/06_4kc6,White wood sorrel\r\n/m/06_4_k,Cage\r\n/m/064kdv_,Bacon vodka\r\n/m/064kmzt,Pararge\r\n/m/064kq2,Gopher snake\r\n/m/064l4sm,Torque tester\r\n/m/064_lq,Loggerhead sea turtle\r\n/m/064lrcv,Euphydryas\r\n/m/064m4nc,Alypia octomaculata\r\n/m/064m6_l,Turkey bacon\r\n/m/064m730,Allard p1\r\n/m/064_mj,Windbreaker\r\n/m/064mv5_,× amarcrinum\r\n/m/064nkzc,Dipteryx alata\r\n/m/064npr8,Edible seaweed\r\n/m/064nxr,Scraper\r\n/m/064nzjm,Salt Marsh Moth\r\n/m/064pn2g,Brachionus plicatilis\r\n/m/064qxq,Touch rugby\r\n/m/064rdf8,Shipping container\r\n/m/064rk,Pottery\r\n/m/064t9,Pop music\r\n/m/064tx6,Red clover\r\n/m/064v3,Porsche 356\r\n/m/064v63,Morris oxford\r\n/m/064vjs,Canoe sprint\r\n/m/064wz0,Morris isis\r\n/m/064xns,Salvadoran cuisine\r\n/m/064y0m,Oaxaca cheese\r\n/m/06503r,Auto avio costruzioni 815\r\n/m/065_0_7,Acianthera luteola\r\n/m/0651gy,Management of hair loss\r\n/m/0652d4,Brassica rapa\r\n/m/0654bn,Rover p4\r\n/m/0657ly,Touch-me-not\r\n/m/0657nh,Drum\r\n/m/065_7y9,Sundowner\r\n/m/0658q_,Tapenade\r\n/m/065948,Distaff thistles\r\n/m/0659_7,Baozi\r\n/m/065bn1,Ironworker\r\n/m/065_dcj,White egret flower\r\n/m/065fbk,Trumpetfish\r\n/m/065_fxb,Acianthera teres\r\n/m/065h6l,Jacuzzi\r\n/m/065jp,Peace\r\n/m/065kj_,Madagascar hissing cockroach\r\n/m/065ls,North american p-51 mustang\r\n/m/065_m8m,Epidendrum nocturnum\r\n/m/065p8z,Peruvian food\r\n/m/065_p97,White mexican rose\r\n/m/065pmj,Trophy hunting\r\n/m/065pt4,Kibbeh\r\n/m/065qfx,Skiff\r\n/m/065qh,Porsche 911\r\n/m/065r8t,Kushari\r\n/m/065rlq,Coenonympha\r\n/m/065rw,Porsche boxster\r\n/m/065rzw,Perodua kenari\r\n/m/065sf2,Innocenti de tomaso\n/m/065w9q,Frito pie\r\n/m/065x_6g,Hobomok Skipper\r\n/m/065x_w,Primer\r\n/m/065y5h5,Acianthera aphthosa\r\n/m/065ydjp,Blue stemmed goldenrod\r\n/m/065yg7b,Catasetum saccatum\r\n/m/065yjnd,Virginia Ctenucha\r\n/m/065yrr8,Acianthera recurva\r\n/m/065z1k6,Acianthera saundersiana\r\n/m/065z4hc,Hairy aster\r\n/m/065zcg1,Rice cake\r\n/m/065zhv9,Egg and chips\r\n/m/065zkd4,Acianthera pubescens\r\n/m/065zrn9,Explosive weapon\r\n/m/065zs54,Holy places\r\n/m/065_zv,Galley\r\n/m/065zvwv,Acianthera pectinata\r\n/m/065zvy,Liquor store\r\n/m/065zwn,Natal lily\r\n/m/06600f2,Plant community\r\n/m/0660_l9,Anguloa uniflora orchid\r\n/m/06611h,Bullsnake\r\n/m/06_61f,Money clip\r\n/m/0661qgr,Narrow-leaved sundrops\r\n/m/0662zj,Angostura bitters\r\n/m/0663c5,Mitsubishi chariot\r\n/m/0663v,Pizza\r\n/m/0669z5,Nanche\r\n/m/066bng,Myrica rubra\r\n/m/066bv7,Motorcycle drag racing\r\n/m/066cqc,Fiat 124 coupé\r\n/m/066dv,Prophet\r\n/m/066dxc,Dayereh\r\n/m/066gdc,Tench\r\n/m/066gx0,Papadum\r\n/m/066j5c,Dimple\r\n/m/066kp,Playstation 2\r\n/m/066q9f,Chocolate balls\r\n/m/066_q,Peppered moth\r\n/m/06_6r,Data storage device\r\n/m/066rmj,Egg cup\r\n/m/066s95,Estrela mountain dog\r\n/m/066sg,Potato chip\r\n/m/066tt1,Cac/pac jf-17 thunder\r\n/m/066vdx,Fanny pack\r\n/m/066wd,Professional wrestling\r\n/m/066xq,Pollution\r\n/m/066xvw,Pisca andina\r\n/m/066zr,Telephone card\r\n/m/0670sh,Stole\r\n/m/067273,Saung\r\n/m/06_72j,Digital clock\r\n/m/0673ch,Oakleaf hydrangea\r\n/m/067_3f,Potato bread\r\n/m/0673fz,Making out\r\n/m/0673x5,Epidendrum\r\n/m/067408,Album cover\r\n/m/0674gf,Epiphyllum\r\n/m/067_4k,4 × 100 metres relay\r\n/m/0675r0,Shark liver oil\r\n/m/0678n6,Blended malt whisky\r\n/m/067b2y,Kona coffee\r\n/m/067b4q,Swiss roll\r\n/m/067bgp,Renault 5 alpine\r\n/m/067c6n,Maybach exelero\r\n/m/067_fm,Chalupa\r\n/m/067g3,Post office\r\n/m/067gh,Playstation 3\r\n/m/067h54,Ethernet hub\r\n/m/067khl,Lymantriidae\r\n/m/067msv,Mazda cx-7\r\n/m/067nv,Preacher\r\n/m/067tky,Purple passionflower\r\n/m/067wdb,Chicharrón\r\n/m/067xpd,Tortas de aceite\r\n/m/0680g0,Syzygium\r\n/m/0680l5,Tamil food\r\n/m/0680p_,Lexus gx\r\n/m/0680sk,Lexus lx\r\n/m/06810_,Medium tactical vehicle replacement\r\n/m/06814,Plankton\r\n/m/06815z,Bigos\r\n/m/0681n,Pi day\r\n/m/0682xs,Popover\r\n/m/06830k,Muzzle\r\n/m/0684hw,Falooda\r\n/m/0684y,Piña colada\r\n/m/06872v,Birdhouse\r\n/m/068774,Axel jump\r\n/m/0687g,Lockheed p-38 lightning\r\n/m/0687nq,Mexican Cheese\r\n/m/0687y,Pray\r\n/m/06882p,4 × 400 metres relay\r\n/m/06_88p,Bucksaw\r\n/m/068b8k,Sprint football\r\n/m/068ck9,Wood Frog\r\n/m/068dbp,Sawhorse\r\n/m/068dd8,Crowbar\r\n/m/068dr1,Barbacoa\r\n/m/068f5j,Blister beetles\r\n/m/068fmf,Springboard\r\n/m/068fpk,Beverage coaster\r\n/m/068fwx,Indigo 3000\r\n/m/068gc4,Hushpuppy\r\n/m/068hbh,Porchetta\r\n/m/068hjv,Wedge\r\n/m/068hl_,Wedge\r\n/m/068hy,Pet\r\n/m/068jd,Photograph\r\n/m/068jfs,Rebana\r\n/m/068k4,Public speaking\r\n/m/068kf5,Jamun\r\n/m/068kk,Pecorino romano\r\n/m/068kkx,Recycling bin\r\n/m/068m4y,Savannah\r\n/m/068mqj,Automotive design\r\n/m/068nvr,Luther burger\r\n/m/068q_0,Babaco\r\n/m/068qz9,Toyota voltz\r\n/m/068vv,Postage stamp\r\n/m/068_x,Pizza cheese\r\n/m/068ywy,Peugeot 305\r\n/m/068zj,Pig\r\n/m/0690zp,Stealth ship\r\n/m/069273,Strawberry tree\r\n/m/0692cj,Dressmaker\r\n/m/0692dn,Silvertip fir\r\n/m/0692y9,Dim sim\r\n/m/0696zs,Bacon sandwich\r\n/m/0697q4,Mercedes-benz w125\r\n/m/06982q,Piasecki hup retriever\r\n/m/0698b5,Weight throw\r\n/m/069cxm,Lotus family\r\n/m/069d4f,Colorado blue columbine\r\n/m/069dmg,Bánh bao\r\n/m/069fd,Quilting\r\n/m/069fz6,Cable tester\r\n/m/069g2q,Grasshopper mouse\r\n/m/069j2y,Fossa\r\n/m/069kg_,Ferrari 250 gt drogo\r\n/m/069k_p,Waterphone\r\n/m/069mr,Quagga\r\n/m/069p0,Quartz\r\n/m/069qlf,Anellini\r\n/m/069qvc,Old bay seasoning\r\n/m/069rbw,Poi\r\n/m/069t5,Quill\r\n/m/069ty7,Audi rs 4\r\n/m/069x21,Panch phoron\r\n/m/069yks,Dried cranberry\r\n/m/06b2t3,Tomato pie\r\n/m/06b2xn,Frappé coffee\r\n/m/06b3h,Koningsdag\r\n/m/06b5nx,Lake Erie Water Snake\r\n/m/06b62,Quiver\r\n/m/06b7l_,Free solo climbing\r\n/m/06b81,Quail\r\n/m/06b8z1,Summer savory\r\n/m/06b95k,Bizcochito\r\n/m/06bd4f,Ssangyong chairman\r\n/m/06bdpk,Academic institution\r\n/m/06bgd4,Indian blanket\r\n/m/06bhks,Carpenter ant\r\n/m/06bht,Quartz clock\r\n/m/06bl3y,Taxus baccata\r\n/m/06bm2,Recreation\r\n/m/06bm31,Vodka martini\r\n/m/06bnqv,Eagle rare\r\n/m/06bp78,Drizzle\r\n/m/06_bp,Sound card\r\n/m/06bqd,Rugby\r\n/m/06bqsw,Indian jujube\r\n/m/06br1f,Colcannon\r\n/m/06br8,Rugby union\r\n/m/06bs13,Domestic rabbit\r\n/m/06bs5s,Surface effect ship\r\n/m/06bt6,Reptile\r\n/m/06bvp,Religion\r\n/m/06bw0b,Mitsubishi pajero\r\n/m/06bxc,Rapping\r\n/m/06b_y2,Fideo\r\n/m/06by7v,Glacial lake\r\n/m/06by85,Volvo 480\r\n/m/06bz3,Radio\r\n/m/06c0nf,Grunion\r\n/m/06c267,Maserati ghibli\r\n/m/06c33q,Pouteria campechiana\r\n/m/06c4kh,Rebate plane\r\n/m/06c4_m,Baseball park\r\n/m/06c54,Rifle\r\n/m/06c5rq,Grand bleu de gascogne\r\n/m/06c60c,Matcha\r\n/m/06c7cv,Kneeling\r\n/m/06c7f7,Lipstick\r\n/m/06c9v1,French dressing\r\n/m/06cd7,Rosemary\r\n/m/06c_dx,Bear claw\r\n/m/06cf7,Rose order\r\n/m/06cgj7,Brook salamander\r\n/m/06cgss,Sanxian\r\n/m/06chgg,Jaguar mark ix\r\n/m/06chkr,Francesinha\r\n/m/06ckl7,Sarinda\r\n/m/06cmpk,Cycle polo\r\n/m/06cnp,River\r\n/m/06cpxj,Berbere\r\n/m/06cpxw,Painted Bunting\r\n/m/06cq12,Wat\r\n/m/06crdx,Lipovitan\r\n/m/06cs1,Research\r\n/m/06__c,Samba\r\n/m/06csn6,Maserati shamal\r\n/m/06_cvj,Seat fura\r\n/m/06d1dh,Rosa gallica\r\n/m/06d_3,Railway\r\n/m/06d4gr,Hoe\r\n/m/06d4_,Race\r\n/m/06d5js,Figure skating spirals\r\n/m/06_d6j,Seat 850\r\n/m/06d9tl,Gordita\r\n/m/06_d9w,Seat ronda\r\n/m/06dbhw,Fondant\r\n/m/06dc32,Hospital gown\r\n/m/06dd8r,Commuter cars tango\r\n/m/06dg4d,Chocolate spread\r\n/m/06dgsv,Rockcress\r\n/m/06_dhx,Seat 128\r\n/m/06dkl6,Austin 7\r\n/m/06dkqr,Perodua myvi\r\n/m/06dksw,Callaloo\r\n/m/06dmh,Rose family\r\n/m/06dn_g,Honda ev plus\r\n/m/06_dn,Snow\r\n/m/06dq9,Radar\r\n/m/06dsww,Bullring\r\n/m/06dtzf,Maclura tricuspidata\r\n/m/06dwlp,Surinam cherry\r\n/m/06dxh6,Benchrest shooting\r\n/m/06dyvh,Jewel bugs\r\n/m/06f1lr,Amc matador\r\n/m/06f1wh,Aegle marmelos\r\n/m/06f_2f,Northern red ash\r\n/m/06f2gp,Honda fcx clarity\r\n/m/06f3l,Rugby league\r\n/m/06f41,Rowing\r\n/m/06f5ql,Dough scraper\r\n/m/06f723,Walker\r\n/m/06f76,Router\r\n/m/06f80g,Ignition coil\r\n/m/06f8q,Resistor\r\n/m/06_fc2,Seat 133\r\n/m/06ff5p,Rolls-royce corniche\r\n/m/06fgw,Robot\r\n/m/06fj6q,Pepperoni roll\r\n/m/06fk8,Revolver\r\n/m/06fnbt,Cypress spurge\r\n/m/06fpdb,Firebrat\r\n/m/06fqc7,Electrical tape\r\n/m/06ft48n,Stick and Ball Sports\r\n/m/06fvc,Red\r\n/m/06fvqm,Sweet william\r\n/m/06f_v,Random-access memory\r\n/m/06_fw,Skateboard\r\n/m/06fx3z,Seasoned salt\r\n/m/06fxvg,Hip-hop dance\r\n/m/06fy_3,Herb bennett\r\n/m/06fycs,Singaporean cuisine\r\n/m/06_fz9,Seat 1200 sport\r\n/m/06g1sm,Potato bean\r\n/m/06g1w2,Pattern (Fashion Design)\r\n/m/06g210,Canaan dog\r\n/m/06g2nh,Blue rose\r\n/m/06_g2y,Seat 1430\r\n/m/06g3fd,Tissue paper\r\n/m/06g441,Garbage disposal unit\r\n/m/06g58b,Oval\r\n/m/06g7kb,Mustard plant\r\n/m/06_g7,Surfing\r\n/m/06g9gv,Makhtesh\r\n/m/06gb8_,Rasgulla\r\n/m/06gd3r,Angel wings\r\n/m/06gf2f,Carrot cake\r\n/m/06gfj,Road\r\n/m/06gg86,Band winged grasshoppers\r\n/m/06gh9k,Mock turtle soup\r\n/m/06gjp9,Floral design\r\n/m/06gl1,Rapid\r\n/m/06glc8,Sauries\r\n/m/06glhz,Mustard greens\r\n/m/06gpzn,Garnish\r\n/m/06grhb,Huevos rancheros\r\n/m/06grsl,Sikorsky s-43\r\n/m/06g_rz,Bake sale\r\n/m/06gs1f,Caprese salad\r\n/m/06gv7b,Maguey worm\r\n/m/06g_vy2,Tree nuts\r\n/m/06gwqn,Lister storm\r\n/m/06gwss,Bonito\r\n/m/06gwz4,Sikorsky s-70\r\n/m/06gxk,Tug of war\r\n/m/06gxzt,Muscovado\r\n/m/06gzh2,Observation tower\r\n/m/06h01,Read-only memory\r\n/m/06h02q,Pacific saury\r\n/m/06h12k,Sharing\r\n/m/06h1x4,Duster\r\n/m/06h2ct,Ball pit\r\n/m/06h2z7,Creme de violette\r\n/m/06h3pn,Fennel flower\r\n/m/06h5_j,Child art\r\n/m/06h5z4,Kombdi vade\r\n/m/06h693,Switchel\r\n/m/06h_7j,Prairie vole\r\n/m/06h7j,Running\r\n/m/06h7s6,Beechcraft model 18\r\n/m/06h8jr,Stinson reliant\r\n/m/06h8yy,Dogo argentino\r\n/m/06h972,Sander\r\n/m/06h9cq,De tomaso pantera\r\n/m/06hd76,Infant bodysuit\r\n/m/06hf0n,Filipino food\r\n/m/06hgmp,Vector w8\r\n/m/06hgz,Roller hockey\r\n/m/06hk0j,Yong tau foo\r\n/m/06hksx,T2 tanker\r\n/m/06h_lp,Rock rose\r\n/m/06hmgg,Xellent swiss vodka\r\n/m/06hmsq,Elymus repens\r\n/m/06hn2m,Mitsubishi f-1\r\n/m/06hps,Rodent\r\n/m/06hpy3,Common Soapwort\r\n/m/06hq8,Red wolf\r\n/m/06hr0k,Chocolate syrup\r\n/m/06hs2r,Whole grain\r\n/m/06ht1,Room\r\n/m/06ht1t,Arab cuisine\r\n/m/06httj,Linens\r\n/m/06hvq2,Ferrari fxx\r\n/m/06hwcd,Dress shirt\r\n/m/06hxsx,Chai tow kway\r\n/m/06hyd,Roof\r\n/m/06j0h3,Rover streetwise\r\n/m/06j11d,Performance car\r\n/m/06j1y6,Caesar cut\r\n/m/06j1z7,Chippiparai\r\n/m/06j22f,Flattop\r\n/m/06j2d,Raven\r\n/m/06j2tt,Meat and potato pie\r\n/m/06j2ym,Citroën activa\r\n/m/06j_5z,Galway hooker\r\n/m/06j6j9,Harp lute\r\n/m/06j70w,Machaca\r\n/m/06j7tx,Ugali\r\n/m/06j8bj,Ixia\r\n/m/06j8d,Rum\r\n/m/06j8kg,Traou mad\r\n/m/06j8mw,Cajeta\r\n/m/06j8x,First Day of Ramadan\r\n/m/06jbjn,Gypsywort\r\n/m/06jbtx,Putu mayam\r\n/m/06jc1y,Bmw m coupe\r\n/m/06jc28,Bmw m roadster\r\n/m/06jdrl,Mocaccino\r\n/m/06jdsz,Rex cat\r\n/m/06jfn_,Sea pea\r\n/m/06jl67,Cannonball tree\r\n/m/06jl9j,Chafing dish\r\n/m/06jlgc,Cliff dwelling\r\n/m/06jlym,Nonpareils\r\n/m/06jm03,Droëwors\r\n/m/06jm_r,Bartitsu\r\n/m/06j_np,Solanum lycocarpum\r\n/m/06jsyl,Arròs negre\r\n/m/06jtg8,Tagetes patula\r\n/m/06jvx,Recorder\r\n/m/06jxwy,Chow-chow\r\n/m/06jzk_,Alcove\r\n/m/06k1gd,Ribbon Seal\r\n/m/06k2mb,High heels\r\n/m/06k2sz,Spindle\r\n/m/06k404,Hi-top fade\r\n/m/06k44z,Modern arnis\r\n/m/06k66v,Xiphactinus\r\n/m/06k7_f,Decanter\r\n/m/06k88g,Hovawart\r\n/m/06_kbr,Hip\r\n/m/06khyd,Xun\r\n/m/06kk62,Custom car\r\n/m/06_knc,Equestrian vaulting\r\n/m/06kp4x,Mercedes-benz w221\r\n/m/06kryj,Western pleasure\r\n/m/06krzy,Irrigation sprinkler\r\n/m/06_k_,Shot put\r\n/m/06ks_l,Fso polonez\r\n/m/06ktm3,Cleavers\r\n/m/06kvfp,Mabolo\r\n/m/06l0r7,Frybread\r\n/m/06l3qn,Apricot kernel\r\n/m/06l5sj,Proton arena\r\n/m/06l5xf,Idakka\r\n/m/06l7h0,Boxfishes and trunkfish\r\n/m/06l8d,Restaurant\r\n/m/06l9l9,Vienna sausage\r\n/m/06l9r,Red panda\r\n/m/06lbsf,Lupinus mutabilis\r\n/m/06lc49,Arnold palmer\r\n/m/06lcdr,Sagra\r\n/m/06lf04,Ferrari 333 sp\r\n/m/06lgcb,Halo-halo\r\n/m/06lh5j,Shiokara\r\n/m/06ljr2,Riga black balsam\r\n/m/06lk1,Rat\r\n/m/06lldd,Strega\r\n/m/06llrr,Carolina dog\r\n/m/06lml,Rust\r\n/m/06lmp8,Lirone\r\n/m/06lqdj,Wife carrying\r\n/m/06lqt,Red-eye effect\r\n/m/06lrt7,Austin gipsy\r\n/m/06lsbg,Rice bran oil\r\n/m/06lv6x,Mosler mt900\r\n/m/06lvq0,Volvo scc\r\n/m/06lwzx,Massasauga\r\n/m/06lxch,Stovies\r\n/m/06ly37,Cynar\r\n/m/06lyj,Rob roy\r\n/m/06m11,Rose\r\n/m/06m145,Gap wedge\r\n/m/06m28d,Transport corridor\r\n/m/06m3_9,Big brown bat\r\n/m/06m5_y,Thomson's gazelle\r\n/m/06m724,Mime artist\r\n/m/06m7kw,Austin champ\r\n/m/06m828,Petit basset griffon vendéen\r\n/m/06m87s,Aston martin v8 zagato\r\n/m/06m8_q,Common evening primrose\r\n/m/06m8v4,Pinkladies\r\n/m/06m90h,Aston martin db6\r\n/m/06m93z,Aston martin 2-litre sports\r\n/m/06m97d,Aston martin db2\r\n/m/06m9bz,Aston martin db2/4\r\n/m/06m9gr,Aston martin db mark iii\r\n/m/06m9mm,Spanking paddle\r\n/m/06mb1,Rain\r\n/m/06mbyg,European water shrew\r\n/m/06mcxn,Aston martin db4\r\n/m/06mdch,Lagonda rapide\r\n/m/06mdwt,Aston martin vantage\r\n/m/06mf0h,Aston martin dbs\r\n/m/06mf2z,Aston martin v8\r\n/m/06mf4d,Aston martin virage\r\n/m/06mf6,Rabbit\r\n/m/06mfp,Rooster\r\n/m/06mgfm,Shorland armoured car\r\n/m/06mg_j,Rock concert\r\n/m/06mjs6,Aston martin db3\r\n/m/06mk7p,Pahu\r\n/m/06mk8r,Aston martin v8 vantage (1977)\r\n/m/06mk92,Aston martin v8 vantage (2005)\r\n/m/06mkws,Hog maw\r\n/m/06mlfl,Suzuki wagon r\r\n/m/06mnj7,Torta\r\n/m/06m_p,Sun\r\n/m/06mr4h,Lotus 27\r\n/m/06mr9c,Trunk\r\n/m/06mrbv,Lotus 30\r\n/m/06mrff,Lotus 32\r\n/m/06mrj_,Bath chair\r\n/m/06msgz,Desert red bat\r\n/m/06msq,Sculpture\r\n/m/06mw2q,Dodge caliber\r\n/m/06mxsw,Direct free kick\r\n/m/06mxww,Ćevapi\r\n/m/06mzmh,English draughts\r\n/m/06n05,Smiley\r\n/m/06n0gv,Art model\r\n/m/06n0n,Signature\r\n/m/06n1b9,Small skipper\r\n/m/06n1w0,Seat málaga\r\n/m/06n224,Sconce\r\n/m/06n2_3,Salt water taffy\r\n/m/06n3f,Sea cows\r\n/m/06n4nl,Bait fish\r\n/m/06n7yw,Murtabak\r\n/m/06n85x,Tahu goreng\r\n/m/06n9k0,Soto ayam\r\n/m/06nb_j,Basketball moves\r\n/m/06ncpn,Four-poster\r\n/m/06ncr,Saxophone\r\n/m/06nd7,Sackbut\r\n/m/06ndp,Saxhorn\r\n/m/06nfl2,Phoenix boat\r\n/m/06ngk,Star\r\n/m/06ngtk,Zebra Swallowtail\r\n/m/06nk8b,Hae mee\r\n/m/06nkpw,Iranian cuisine\r\n/m/06nks0,Essex skipper\r\n/m/06nl9s,Lulworth skipper\r\n/m/06nlc6,Common Buckeye\r\n/m/06nlmy,Zebra Longwing\r\n/m/06nm4x,Batá drums\r\n/m/06nmjv,Dirt road\r\n/m/06nmqm,Mee siam\r\n/m/06nnf1,Toyota tercel\r\n/m/06npkq,Kemp's ridley sea turtle\r\n/m/06npx,Sea\r\n/m/06nqtr,Ocimum tenuiflorum\r\n/m/06nrc,Shotgun\r\n/m/06ntj,Sports\r\n/m/06nwz,Seafood\r\n/m/06nymy,Hesperia comma\r\n/m/06nzyl,Steinlager\r\n/m/06p15y,Croft\r\n/m/06p35,Spice\r\n/m/06p43,Spearmint\r\n/m/06p4j,Sage\r\n/m/06p50,Savory\r\n/m/06p5jv,Autobianchi primula\r\n/m/06p5ly,Rolls-royce silver shadow\r\n/m/06p5q2,Shot tower\r\n/m/06p5rk,Simca 1100\r\n/m/06p60t,Large skipper\r\n/m/06p64q,Dingy skipper\r\n/m/06p7d9,Chelow kabab\r\n/m/06_p_8,Bugfish\r\n/m/06p9g,Sapindales\r\n/m/06p9y,Solanales\r\n/m/06pcq,Submarine sandwich\r\n/m/06p_c,Saxifragales\r\n/m/06pd59,Ti plant\r\n/m/06pflx,Grizzled skipper\r\n/m/06pg22,Snapshot\r\n/m/06pg33,Fairey delta 2\r\n/m/06ph11,Halušky\r\n/m/06ph50,Cannelloni\r\n/m/06pj2k,Lip\r\n/m/06pm1,Spinning\r\n/m/06pp3t,Kite buggy\r\n/m/06ppnx,Creeping thistle\r\n/m/06ppr2,Snow chains\r\n/m/06pq2r,Dobermann\r\n/m/06ps41,Parkia speciosa\r\n/m/06_psm,Pappardelle\r\n/m/06pswb,Huggies pull-ups\r\n/m/06pyfy,Bunny chow\r\n/m/06pzv3,Rhinoceros beetle\r\n/m/06q1l_,Entertainment center\r\n/m/06q2q,Scientist\r\n/m/06q3p9,Hyundai scoupe\r\n/m/06q3sh,Hyundai stellar\r\n/m/06q40,Smoke\r\n/m/06q4j,Tobacco pipe\r\n/m/06q4l2,Hyundai dynasty\r\n/m/06q4q4,Shutter\r\n/m/06q4_,Swiss cheese\r\n/m/06q545,Kimchi jjigae\r\n/m/06q6vy,Vector w2\r\n/m/06q74,Ship\r\n/m/06q83,Software engineering\r\n/m/06q8h1,Lens hood\r\n/m/06_q8q,Hayashi rice\r\n/m/06qc5,Sound\r\n/m/06qf0l,Weigela\r\n/m/06qf1q,Škoda octavia\r\n/m/06qg4p,Schwenker\r\n/m/06qglb,Fish ball\r\n/m/06qhl2,Green sea turtle\r\n/m/06ql55,Zinnia angustifolia\r\n/m/06qp1w,Veneroida\r\n/m/06qp7v,Hoopskirt\r\n/m/06qpl1,Archaeognatha\r\n/m/06qqb,Steel\r\n/m/06qrr,Soft drink\r\n/m/06qskm,Psocids\r\n/m/06qt8f,Armenian cucumber\r\n/m/06q_t_,Bun\r\n/m/06qxqc,Palt\r\n/m/06qyn0,American cheese\r\n/m/06r3x_,Sho\r\n/m/06r5rg,Voucher\r\n/m/06r6q5,Thuringian sausage\r\n/m/06r77g,Mandu\r\n/m/06r797,Miller\r\n/m/06rd_g,Sand coreopsis\r\n/m/06rggz,Boßeln\r\n/m/06rk9l,Linzer torte\r\n/m/06rkg3,Newsagent's shop\r\n/m/06rlx8,Clay pigeon shooting\r\n/m/06rpn7,Datsun truck\r\n/m/06rq64,Leonberger\r\n/m/06rqrc,White coffee\r\n/m/06rrc,Shoe\r\n/m/06rrnp,Ipoh white coffee\r\n/m/06rsv,Sorrel\r\n/m/06rtf4,Candytuft\r\n/m/06rtnf,Papilio machaon\r\n/m/06rvn,Snare drum\r\n/m/06rvrg,Lechon\r\n/m/06rwpg,Alpine sea holly\r\n/m/06rwyj,Chrysanthemum tea\r\n/m/06ryb5,Toyota highlander\r\n/m/06rzyn,Hose\r\n/m/06s03b,Langsat\r\n/m/06s115,Upsherin\r\n/m/06s3yl,Tanbur\r\n/m/06s6j4,Rectified spirit\r\n/m/06s7q8,Sabre\r\n/m/06s8s3,Leptidea sinapis\r\n/m/06s8tq,Colias croceus\r\n/m/06s908,Fox squirrel\r\n/m/06sh2d,Chevrolet montana\r\n/m/06sjy1,Green hairstreak\r\n/m/06sk_3,Tubing\r\n/m/06skd7,Rolls-royce silver dawn\r\n/m/06smkm,Tosa\r\n/m/06sm__,Malibu rum\r\n/m/06sms_,Hákarl\r\n/m/06sn75,Domesticated hedgehog\r\n/m/06sp6k,Jallab\r\n/m/06sr5g,Yakiniku\r\n/m/06srnc,Huevos divorciados\r\n/m/06srwg,Tree mallow\r\n/m/06swbl,Krupuk\r\n/m/06swk7,Balloon flower\r\n/m/06sxw5,Panhard dyna z\r\n/m/06t143,Nihari\r\n/m/06t241,Party hat\r\n/m/06t5yp,Suzuki cultus crescent\r\n/m/06t6hf,Squirt boating\r\n/m/06t6kv,Aston martin db ar1\r\n/m/06t7h5,Narrow-mouthed frog\r\n/m/06t8sh,Welsh cuisine\r\n/m/06t9gf,East indiaman\r\n/m/06tb3m,Sautéed reindeer\r\n/m/06tb9f,Eastern brown snake\r\n/m/06tby9,Brown hairstreak\r\n/m/06tbyq,Purple hairstreak\r\n/m/06tbzs,White-letter hairstreak\r\n/m/06td69,Medieval football\n/m/06tg_n,Pitching wedge\r\n/m/06tlg8,Duffel bag\r\n/m/06tn4,Snooker\r\n/m/06t_nn,Sharpie\r\n/m/06trb4,Toyota caldina\r\n/m/06ts_6,Shopkeeper\r\n/m/06tt18,Kupala night\r\n/m/06ttb_,Dai pai dong\r\n/m/06twz9,Dianhong tea\r\n/m/06tx3j,Black hairstreak\r\n/m/06txfd,Headphone amplifier\r\n/m/06txj4,Swimming machine\r\n/m/06tzj3,Thistle\r\n/m/06v2kk,Lycaena phlaeas\r\n/m/06v2mr,Large copper\r\n/m/06v2rn,Small blue\r\n/m/06v3cv,Rajasthani cuisine\r\n/m/06v5_j,Nissan quest\r\n/m/06v6ysb,Processed food\r\n/m/06v98m,Prayer beads\r\n/m/06v9jt,Latch\r\n/m/06vbm3,Common yabby\r\n/m/06vgvn,Mission burrito\r\n/m/06_vh13,Hymenocallis littoralis\r\n/m/06vh5n,Billfish\r\n/m/06vk46,Krupnik\r\n/m/06vltj,Argali\r\n/m/06vm34,Plimsoll shoe\r\n/m/06vm6n,Red cabbage\r\n/m/06vplw,Toolbox\r\n/m/06vpw4,Sweet and sour pork\r\n/m/06vrxs,Octobass\r\n/m/06vrz,Salt\r\n/m/06vs7f,Lexus rx\r\n/m/06v_sc,American foxhound\r\n/m/06__v,Snowboard\r\n/m/06vwc2,Proton savvy\r\n/m/06vwpps,Carrot and red lentil soup\r\n/m/06vx2x,Silver-studded blue\r\n/m/06_vxkw,Timballo\r\n/m/06v_yq,Brown argus\r\n/m/06vzzn,Continuum fingerboard\r\n/m/06w043,Northern brown argus\r\n/m/06w066,English foxhound\r\n/m/06w1ck7,Zerde\r\n/m/06w1j5,Shrubland\r\n/m/06w1jw,Audi s6\r\n/m/06w1p0,Ten lined June beetle\r\n/m/06w2nzm,Morris commercial j2\r\n/m/06w38sp,International kissing day\r\n/m/06w3jq,Bai mudan\r\n/m/06w3q74,Hericium\r\n/m/06w3rt,Baihao yinzhen\r\n/m/06w4c0d,Peck s Skipper\r\n/m/06w4c4j,Hydrangea serrata\r\n/m/06w4fb,Chun mee tea\r\n/m/06w4qt,Junshan yinzhen\r\n/m/06w4t5m,Ataulfo\r\n/m/06w4tq,Flying snake\r\n/m/06w4z7x,Pogonia ophioglossoides\r\n/m/06w4zh8,Taishōgoto\r\n/m/06w5tb5,Rhamnus caroliniana\r\n/m/06w5v2m,Pogonia japonica\r\n/m/06w675,Bistek\r\n/m/06w6c0,Sinigang\r\n/m/06w6d7x,Common prickly ash\r\n/m/06w6h,Skeleton\r\n/m/06w6jx,Lumpia\r\n/m/06w6y06,10 cane\r\n/m/06w78tj,Cone wrench\r\n/m/06w7f26,Vitello tonnato\r\n/m/06w7n5d,Bmx bike\r\n/m/06w7tsz,Strap wrench\r\n/m/06w7v,Slide guitar\r\n/m/06w8mbx,Cadillac xts\r\n/m/06w8zl,Chalkhill blue\r\n/m/06w93j,Adonis blue\r\n/m/06w94_,Holly blue\r\n/m/06w9b53,Naked man orchid\r\n/m/06w9jt,Bisque\r\n/m/06wb45f,Mormolyca ringens\r\n/m/06wbh1,Fishing sinker\r\n/m/06wbnr,Blue gum\r\n/m/06wc8kw,Floor hockey\r\n/m/06wcblr,Hazelnut\r\n/m/06wh7_,Tinola\r\n/m/06whl2,Mechado\r\n/m/06whny,Hamearis lucina\r\n/m/06_whwk,Phymatidae\r\n/m/06whxv,Limenitis camilla\r\n/m/06whyy,Apatura iris\r\n/m/06wk4s,Norwegian cuisine\r\n/m/06wkj0,Comics artist\r\n/m/06wlpd,Changing table\r\n/m/06wn35,Land sailing\r\n/m/06wpgt,Tellum\r\n/m/06wq3h,Training wheels\r\n/m/06wqb,Space\r\n/m/06wqv,Spanish cuisine\r\n/m/06wrmx,Nepali tea\r\n/m/06wrt,Sailing\r\n/m/06ws67,Ringlet\r\n/m/06wt5,Shuttlecock\r\n/m/06wtgq,Play\r\n/m/06wtht,Melanargia galathea\r\n/m/06wtj6,Small pearl-bordered butterfly\r\n/m/06wtjy,Pearl-bordered fritillar\r\n/m/06wtlq,High brown fritillary\r\n/m/06wtl,Soldering iron\r\n/m/06wtmd,Dark green fritillary\r\n/m/06wtp8,Marsh fritillary\r\n/m/06wtq1,Coenonympha tullia\r\n/m/06wtyq,Wombat\r\n/m/06wtz1,Tung-ting tea\r\n/m/06w_vn,Large tortoiseshell\r\n/m/06wvzt,Large chequered skipper\r\n/m/06ww6_,Modak\r\n/m/06wwc,Satellite\r\n/m/06wwlh,Aporia crataegi\r\n/m/06wx6g,Peugeot 4007\r\n/m/06wyb6,Pumpkin seed\r\n/m/06wybl,Writing implement\r\n/m/06wypr,California-style pizza\r\n/m/06_wysj,Mana energy potions\r\n/m/06wyv,Steam engine\r\n/m/06wyzp,Studebaker sky hawk\r\n/m/06wzb,Steam\r\n/m/06x0jz,Dodge omni 024\r\n/m/06x0_n,Glanville fritillary\r\n/m/06x0q,Sign language\r\n/m/06x12f,Heath fritillary\r\n/m/06x145,Small mountain ringlet\r\n/m/06x168,Queen of spain fritillary\r\n/m/06x16p,Scotch argus\r\n/m/06x1h8,Grayling (butterfly)\r\n/m/06x1lt,Fiat panorama\r\n/m/06x1vn,Bath White\r\n/m/06x4c,Sugar\r\n/m/06x5sp,Sandwich wrap\r\n/m/06x5s,Super bowl\r\n/m/06x_62,Tassa\r\n/m/06x661,Puri\r\n/m/06x6d7,Paratha\r\n/m/06x7l3,Kalua\r\n/m/06x92w,Ceylon tea\r\n/m/06x9hk,Yuanyang\r\n/m/06x9vw,Jamón\r\n/m/06xbd,Solar energy\r\n/m/06xb_k,Houkui tea\r\n/m/06xblk,Chaharshanbe suri\r\n/m/06xbpd,Colias hyale\r\n/m/06xbq4,Colias sareptensis\r\n/m/06xbw_,Short-tailed blue\r\n/m/06xby2,Mazarine Blue\r\n/m/06xfps,Loyd carrier\r\n/m/06xgzn,Casual dress\r\n/m/06xjy_,Ford escort\r\n/m/06_xp3t,Nissan leaf\r\n/m/06xpsq,Mitsubishi 380\r\n/m/06xtns,Shrub frog\r\n/m/06xvpd,Germanders\r\n/m/06xxlz,Proton satria\r\n/m/06xxq1,Suzuki jimny\r\n/m/06xzh,Sleep\r\n/m/06_y0yh,Walking stick\r\n/m/06y15,Sandpit\r\n/m/06y1hm,Turnover\r\n/m/06y1kb,Fish fry\r\n/m/06y28c,Diagonal pliers\r\n/m/06y36m,Carterocephalus\r\n/m/06y47,Sphere\r\n/m/06y516,Bubble up\r\n/m/06y5g3,Corn chip\r\n/m/06y5r,Sword\r\n/m/06_y9l,International harvester scout\r\n/m/06y9xs,Khash\r\n/m/06y_bg,Hindu temple\r\n/m/06ybv_,Euphrasia\r\n/m/06ycgh,Projection screen\r\n/m/06ydzk,Street unicycling\r\n/m/06ydz,Savate\r\n/m/06yh2,Shanghai food\r\n/m/06yjnj,Kettle corn\r\n/m/06ykxz,Agnolotti\r\n/m/06yl6f,Verjuice\r\n/m/06ylgj,Morris c8\r\n/m/06ypl1,Reliant regal\r\n/m/06y_pt,Beef bourguignon\r\n/m/06yrfc,Medical assistant\r\n/m/06yrp2,Ful medames\r\n/m/06ys27,Bewick s Wren\r\n/m/06ys2,Spider-man\r\n/m/06yvp3,Aligot\r\n/m/06yvrm,Mandevilla\r\n/m/06y_vv,Truffade\r\n/m/06yxgt,Alpine a310\r\n/m/06yxqx,Carnyx\r\n/m/06yx_v,Wolf hunting\r\n/m/06y_zq,Tripoux\r\n/m/06yzz,Subaru impreza wrx\r\n/m/06z04,Skin\r\n/m/06z0hz,Renault avantime\r\n/m/06z0n,Sunlight\r\n/m/06z1bh,Choucroute garnie\r\n/m/06z37_,Picture frame\r\n/m/06z3rh,Red mulberry\r\n/m/06z3v,Stout\r\n/m/06z4cq,Rumple minze\r\n/m/06z4ng,Piste\r\n/m/06z57z,Burmese food\r\n/m/06z68,Synchronized swimming\r\n/m/06z6r,Swimming\r\n/m/06z7rr,Domaine de canton\r\n/m/06z94s,Renault estafette\r\n/m/06zdd5,Batata harra\r\n/m/06zdj,School\r\n/m/06zfw,Skateboarding\r\n/m/06zgc,Speed skating\r\n/m/06zk0jm,Ferrari 458\r\n/m/06zk52n,Pastisset\r\n/m/06zkd9,Kolach\r\n/m/06zkk_,Bierock\r\n/m/06zmp9_,Torque screwdriver\r\n/m/06znqns,Cowboy mounted shooting\r\n/m/06z_nw,Tail\r\n/m/06zpdb,Silk tree\r\n/m/06zpgt,Opel blitz\r\n/m/06zpwc,Songpyeon\r\n/m/06zq0pr,Salmon burger\r\n/m/06zq8mq,Barbecue chicken\r\n/m/06zqlvs,Lezim\r\n/m/06zrpw8,Graham cracker crust\r\n/m/06zs7,Sniper\r\n/m/06zsjx3,Multihead weigher\r\n/m/06zsq,Sign\r\n/m/06zstm,Violone\r\n/m/06zs_t,Thymelicus\r\n/m/06zt8xh,Hand-held computer\r\n/m/06zts5l,Wheat flour\r\n/m/06zts7g,Soybean oil\r\n/m/06ztvkx,Macrocystis pyrifera\r\n/m/06ztwvs,Mattress pad\r\n/m/06z_tz,Photograph album\r\n/m/06zx72,Arrabbiata sauce\r\n/m/06zytg,Pickling\r\n/m/06zz9q,Dodge st. regis\r\n/m/07030,Sushi\r\n/m/0703r8,Loveseat\r\n/m/0704ff,Triumph tr5\r\n/m/07059,Switch\r\n/m/0705rn,Arancini\r\n/m/07068,Samurai\r\n/m/07079l,Malacosoma disstria\r\n/m/0708gq,Apfelwein\r\n/m/0708qt,Artois hound\r\n/m/0708sy,Duck confit\r\n/m/0709jg,Cranberry sauce\r\n/m/070b4s,Friendship day\r\n/m/070c4,Super nintendo entertainment system\r\n/m/070dn6,Crt projector\r\n/m/07_0d,Vermouth\r\n/m/070fdj,Rolling tobacco\r\n/m/070g37,Creamed corn\r\n/m/070jdl,Ford fairlane\r\n/m/070jf8,Ford fairlane (australia)\r\n/m/070jy9,Bobotie\r\n/m/070k08,Mozzarella sticks\r\n/m/070kp2,Diatonic button accordion\r\n/m/070lt0,Court-bouillon\r\n/m/070lv,Sling\r\n/m/070m9,Stock car racing\r\n/m/070qm,Freight transport\r\n/m/070rx,Spam\r\n/m/070rzx,Gardetto's\n/m/070s0m,Arame\r\n/m/070vn,Superman\r\n/m/070w8v,Ti'punch\r\n/m/070wyb,Sancocho\r\n/m/07_0xk,Mustard\r\n/m/070zwp,Mouse eared bat\r\n/m/0711_5,Stall\r\n/m/0713b9,Kiwiburger\r\n/m/071__3,Torpedo ram\r\n/m/0714y3,Maserati gran sport\r\n/m/0715p,Slingshot\r\n/m/0715t2,Calf\r\n/m/0717z9,Gofio\r\n/m/07_19,Vietnamese food\r\n/m/071bgc,Agaric\r\n/m/07_1h6,Banmian\r\n/m/071j9r,Cool\r\n/m/071jj,Siberian husky\r\n/m/071k0,Skiing\r\n/m/071m1q,Miracle whip\r\n/m/071p9,Ski\r\n/m/071pt,Swedish cuisine\r\n/m/071qp,Squirrel\r\n/m/071r5,Scarecrow\r\n/m/071rm,Shooting\r\n/m/071t0,Shooting sport\r\n/m/071tf,Sake\r\n/m/071v_g,Eisbein\r\n/m/071wwj,Menispermaceae\r\n/m/071xbs,Pav bhaji\r\n/m/071yj0,Triumph tr4a\r\n/m/0724c2,Triumph tr250\r\n/m/0724h,Southern united states food\r\n/m/0727hy,Tennis polo\r\n/m/0727xx,Enterprise software\r\n/m/0728h,Self-propelled artillery\r\n/m/072cx,Springbok\r\n/m/072jc1,Long-sleeved t-shirt\r\n/m/072m3d,Rigatoni con la pajata\r\n/m/072n80,Fiat 124 sport spider\r\n/m/0_72nwj,Cadillac\r\n/m/072p5w,Autobianchi a112\r\n/m/072qz,Sukkot\r\n/m/072t5t,Kai t-50 golden eagle\r\n/m/072td3,Black bean paste\r\n/m/072x36,Ball badminton\r\n/m/072xlw,Checker marathon\r\n/m/0730mw,Braciola\r\n/m/0731xb,Batter\r\n/m/07325,Sweetbread\r\n/m/073693,Studebaker power hawk\r\n/m/07369v,Moqueca\r\n/m/0738_2,Perodua kancil\r\n/m/07391y,Cyclocomputer\r\n/m/0739l8,Alcapurria\r\n/m/073bxn,Tripod\r\n/m/073cw9,Teh tarik\r\n/m/073dw1,Cessna 185\r\n/m/073dz9,Mertensia\r\n/m/073g6,Stethoscope\r\n/m/073j6l,Lotus carlton\r\n/m/073l3,Solution\r\n/m/073lwm,Romaine lettuce\r\n/m/073m99,Bandurria\r\n/m/073nnm,Toyota paseo\r\n/m/073p_r,Fujian white crane\r\n/m/073r0,Slide rule\r\n/m/073sz4,Cessna 310\r\n/m/073vd8,Panforte\r\n/m/073_yy,Alfa romeo gtv and spider\r\n/m/0740k8,Metalsmith\r\n/m/0740x7,Four o'clock flower\r\n/m/0743cg,Pipecutter\r\n/m/07451s,American wirehair\r\n/m/0745ww,Roasted barley tea\r\n/m/0747nrk,Commentator\r\n/m/0749_1,Miridae\r\n/m/074b1l,Bandola\r\n/m/074b41,Saluang\r\n/m/074b86,Caramel corn\r\n/m/074c75,Frijoles negros\r\n/m/074cq5,Lid\r\n/m/074cvd,Hyderabadi biriyani\r\n/m/074d1,Submarine\r\n/m/074fbz,Chicken tikka\r\n/m/074ft,Song\r\n/m/074g8y,Manchester terrier\r\n/m/074gbc,Honda fr-v\r\n/m/074gj8,Japanese chisel\r\n/m/074gql,Bulrush\r\n/m/074hj8,Dunker\r\n/m/074hmn,Baeckeoffe\r\n/m/074jzb,Alfa romeo gt\r\n/m/074l3b,Radio-controlled helicopter\r\n/m/074n4p,Halterneck\r\n/m/074pqh,Spanish mastiff\r\n/m/07_4p,Vulture\r\n/m/074_t6,Boa constrictor\r\n/m/074xb4,Common pipistrelle\r\n/m/074y7,Scotch whisky\r\n/m/074y7z,Humpback whitefish\r\n/m/0750y,Suburb\r\n/m/07_53,Volleyball\r\n/m/0754v,Season\r\n/m/0755b,Scorpion\r\n/m/07581j,Depression\r\n/m/07_58b,Muisjes\r\n/m/0758cp,Clotheshorse\r\n/m/075bn6,Prince of wales feathers\r\n/m/075bnk,Cockscomb\r\n/m/075brp,Khachapuri\r\n/m/075kr5,Podophyllum\r\n/m/075l0w,Mosquito net\r\n/m/075nh,Salute\r\n/m/075nsx,Bowyer\r\n/m/075qs7,Banoffee pie\r\n/m/075r0n,Ants climbing a tree\r\n/m/075rsc,Logrolling\n/m/075stm,Television crew\r\n/m/075t5x,Road roller\r\n/m/075vm9,Black mamba\r\n/m/075wr6,Codling moth\r\n/m/075x8c,Nasi uduk\r\n/m/075y10,Doubles\r\n/m/075y1,Sega game gear\r\n/m/075_ys,Class\r\n/m/075zjz,Motherwort\r\n/m/07605,Dreamcast\r\n/m/0760k0,Ginseng chicken soup\r\n/m/07610g,Doenjang\r\n/m/07619_,Strongman\r\n/m/0761c0,Lotus 17\r\n/m/07620n,Red-eyed tree frog\r\n/m/07656,Sonic the hedgehog\r\n/m/0766dx,Fmr tg500\r\n/m/0766x_,Spam musubi\r\n/m/07676r,Jamboree\r\n/m/0767zj,Bluehead\r\n/m/0768fx,Automotive lighting\r\n/m/076_8,Scottish deerhound\r\n/m/076956,Tuberous pea\r\n/m/076bq,Segway\r\n/m/076g2g,Cabanossi\r\n/m/076gkp,Extinct volcano\r\n/m/076hjv,Pasilla\r\n/m/076j5f,Artocarpus odoratissimus\r\n/m/076jvf,Bentley eight\r\n/m/076l_7,Bentley mulsanne\r\n/m/076lb9,Bench\r\n/m/076lpm,Bridie\r\n/m/076n2t,Bentley continental r\r\n/m/076n3j,Bentley s1\r\n/m/076_n,Sloughi\r\n/m/076pbw,Kaju katli\r\n/m/076qf43,Handball player\r\n/m/076t48l,Coral reef fish\r\n/m/076vj_,Vector m12\r\n/m/076vx2m,Mineral spring\r\n/m/076w2j,Concrete saw\r\n/m/076w3k,Instant mashed potatoes\r\n/m/07_6wm,Paintball marker\r\n/m/076x90q,Palestinian authority passport\r\n/m/076xb22,Body hygiene kit\r\n/m/076xbc,Morgan aero 8\r\n/m/076xc1,High-fructose corn syrup\r\n/m/076xvkt,Soap dish\r\n/m/076y5q,Aries\r\n/m/076zg,Saluki\r\n/m/076zmx4,Marine Blue\r\n/m/076ztg,Saleen s7\r\n/m/076zw,Sighthound\r\n/m/07701,Galgo español\r\n/m/07706q7,Stuffed mushrooms\r\n/m/0771fv,Alpine a110\r\n/m/0772h,Spaghetti\r\n/m/0772qs,Chuño\r\n/m/0773fb,Treeing walker coonhound\r\n/m/0776d,Spawn\r\n/m/0776zf,Chicken marengo\r\n/m/0778ct,Common milkweed\r\n/m/0778fx,Saturn outlook\r\n/m/0778jb,Redbone coonhound\r\n/m/077cwy,Old field clover\r\n/m/077_cx,Grass jelly\r\n/m/077fzh,Pignut\r\n/m/077hhl,Cargo aircraft\r\n/m/077hh,Shiba inu\r\n/m/077hmg,Malai\r\n/m/077hz,Slot machine\r\n/m/077j14,Cookie dough\r\n/m/077j8w,Pointed gourd\r\n/m/077jw,Spear\r\n/m/077md3,Ceylon gooseberry\r\n/m/077p0h,Sleeveless shirt\r\n/m/077swl,Submersible bridge\r\n/m/077vzj,Catwalk\r\n/m/077wq6,Tvr sagaris\r\n/m/077ygm,Mercury marquis\r\n/m/077z_8,Plymouth satellite\r\n/m/078_03,Bénédictine\r\n/m/0780p,Subaru forester\r\n/m/0784d1,Bodybuilding supplement\r\n/m/0785_l,Figleaf gourd\r\n/m/0788wf,Admiral\r\n/m/07895,Sambuca\r\n/m/078bm7,Messenger bag\r\n/m/078d1z,Alfa romeo giulia\r\n/m/078dnm,Bucatini\r\n/m/078hm,Slope\r\n/m/078hvb,Novuss\r\n/m/078hy2,Ararat\r\n/m/078hz4,Slip and fall\r\n/m/078jl,Snake\r\n/m/078k8j,Pork ribs\r\n/m/078k_n,Plymouth acclaim\r\n/m/078_m9,Friendship day\r\n/m/078my,Trailer truck\r\n/m/078n1s,Rasam\r\n/m/078n6m,Coffee table\r\n/m/078ns6,Kemençe of the black sea\r\n/m/078prd,Six-wheel drive\r\n/m/078q0,Stalactite\r\n/m/078qb0,Domestic pig\r\n/m/078qz,Summer\r\n/m/078rg,Shrike\r\n/m/078rx,Screwdriver\r\n/m/078s_,Structural biology\r\n/m/078tfv,Egusi\r\n/m/078tz,Sour mix\r\n/m/0792xj,Snow angel\r\n/m/079_32,Pasanda\r\n/m/0794y5,Ironweed\r\n/m/079610,Bellhop\r\n/m/07964,Scabbard\r\n/m/0797dp,Katsudon\r\n/m/0797j,Sapphire\r\n/m/07981w,Octomeria\r\n/m/079b1s,Porthole\r\n/m/079bkr,Mode of transport\r\n/m/079cl,Skyscraper\r\n/m/079d79,Casio ctk-691\r\n/m/079dl7,Chocolate cake\r\n/m/079f77,Undershirt\r\n/m/079fdw,Biga\r\n/m/079ftr,Tarte flambée\r\n/m/079j2d,Subak\n/m/079jgf,Deep-submergence rescue vehicle\r\n/m/079l46,Twice cooked pork\r\n/m/079mhg,Ford ranger ev\r\n/m/079p_1,Mountain cur\r\n/m/079pwk,Kare-kare\r\n/m/079qfs,Zophobas morio\r\n/m/079_rd,Banitsa\r\n/m/07_9_,Volcano\r\n/m/079xgg,Vampire bat\r\n/m/079yjd,Knackwurst\r\n/m/079zcf,100 metres hurdles\r\n/m/079zm,Supermarine spitfire\r\n/m/07b1cv,Sordariomycetes\r\n/m/07b279,Jensen-healey\r\n/m/07b2m8,Music venue\r\n/m/07b4dx,Prairie turnip\r\n/m/07b4p5,Da hong pao\r\n/m/07b8yn,Airsoft gun\r\n/m/07b99y,Renault 20/30\r\n/m/07b9hp,Renault safrane\r\n/m/07b9m5,Renault 6\r\n/m/07b9p1,Commemorative plaque\r\n/m/07b9t3,Renault 15/17\r\n/m/07b9wm,Renault 18\r\n/m/07bb2_,Fête\r\n/m/07bby4,Fiat palio weekend\r\n/m/07bbyk,Fiat fiorino\r\n/m/07bfb3,Labskaus\r\n/m/07bfg9,Noble m400\r\n/m/07bg4p,Heart\r\n/m/07bgp,Sheep\r\n/m/07bj2_,Tapa\r\n/m/07bjf,Single-lens reflex camera\r\n/m/07bkkj,Ballet master\r\n/m/07bl9,Salamander\r\n/m/07blj0,Large münsterländer\r\n/m/07bln6,Curly coated retriever\r\n/m/07bn8z,Mound\r\n/m/07bp0z,Michigan hot dog\n/m/07br0,Trade\r\n/m/07brj,Tambourine\r\n/m/07bs0,Tennis\r\n/m/07bsk8,Lighter aboard ship\r\n/m/07bsy,Transport\r\n/m/07bt9f,Devrim\n/m/07bv5_,Gubinge\r\n/m/07bw73,Ice pack\r\n/m/07bww3,Contesting\n/m/07bx10,Academic conference\r\n/m/07bxq,Tourism\r\n/m/07byjf,Broadleaf arrowhead\r\n/m/07b_yw,Black fly\r\n/m/07bzdm,Box turtle\r\n/m/07c15j,Fiat elba\r\n/m/07c1d3,Lancia thesis\r\n/m/07c1kt,Lancia ypsilon\r\n/m/07c1v,Technology\r\n/m/07c204,Hesperia (butterfly)\r\n/m/07c2d5,Guizotia abyssinica\r\n/m/07c_2,Transistor\r\n/m/07c3gq,Sweet granadilla\r\n/m/07c52,Television\r\n/m/07c52z,Chrysler aspen\r\n/m/07c64g,Lamplighter\r\n/m/07_c6h,Blue paul terrier\r\n/m/07c6l,Trombone\r\n/m/07c97b,Fur clothing\r\n/m/07c9x2,Feeder ship\r\n/m/07ckm7,Wine tasting\r\n/m/07ckz,Tarragon\r\n/m/07clcz,Sikorsky hh-52 seaguard\r\n/m/07clf,Thyme\r\n/m/07clst,Houttuynia\r\n/m/07clx,Tea\r\n/m/07cmd,Tank\r\n/m/07cmh2,Tong sui\r\n/m/07cn9w,Cocktail onion\r\n/m/07cnc0,Western yew\r\n/m/07cnc,Turmeric\r\n/m/07cngz,Pearl onion\r\n/m/07cprz,Bouillon cube\r\n/m/07cqcn,Ektara\r\n/m/07cqtx,Leisure centre\r\n/m/07cr3g,Circus peanuts\r\n/m/07cr7j1,Stock pot\r\n/m/07crc,Taco\r\n/m/07csrf,Huqin\r\n/m/07cwnp,Picnic table\r\n/m/07cwvn,Outcrop\r\n/m/07cwy2,Potjiekos\r\n/m/07cx4,Telephone\r\n/m/07cx9q,Renault sport spider\r\n/m/07cydr,Optare solo\r\n/m/07cylb,Thermokarst\r\n/m/07cymt,Matkot\r\n/m/07d0f,Trademark\r\n/m/07d2x6,Grease\r\n/m/07_d2x,Brace\r\n/m/07d2xm,Pap\r\n/m/07d3pv,Gonimbrasia belina\r\n/m/07d7c9,Triumph tr3a\n/m/07d7hg,Vichyssoise\r\n/m/07d8fz,Zōni\r\n/m/07dd4,Torch\r\n/m/07ddvp,Renault 4cv\r\n/m/07dhdl,Pato\r\n/m/07djv,Tradition\r\n/m/07dm6,Tiger\r\n/m/07dp0r,Bandog\r\n/m/07dr5x,Volvo l3314\r\n/m/07d_st,Renault juvaquatre\r\n/m/07dv1j,Rachel haircut\r\n/m/07dvrh,Dogue de bordeaux\r\n/m/07dx0m,Japanese spitz\r\n/m/07dx6k,Strongwoman\r\n/m/07dydd,Flabiol\r\n/m/07dzv4,Pale smartweed\r\n/m/07f0yf,Yueqin\r\n/m/07f60n,Sabzi polo\r\n/m/07fbm7,Strawberry\r\n/m/07fdc5,Virginia strawberry\r\n/m/07fdrb,Pipe\r\n/m/07fdw7,Alpine strawberry\r\n/m/07fg_t,Cac ca-15\r\n/m/07fhr3,White coat\r\n/m/07fjx2,Vetkoek\r\n/m/07fk7c,Weepicheesis\r\n/m/07flps,Chakalaka\r\n/m/07fmg_,Opel manta\r\n/m/07fnvh,Artificial hair integrations\r\n/m/07fs28,Vietnamese iced coffee\r\n/m/07fx4j,Lobster thermidor\r\n/m/07g31k,Snake gourd\r\n/m/07g70c,International xt\r\n/m/07g7q3,Ford royale\r\n/m/07g7x7,Tylosaurus\r\n/m/07g817,Bristol type 603\r\n/m/07g8kf,Chemical tanker\r\n/m/07gch0,Porron\r\n/m/07gcm5,Piccolo clarinet\r\n/m/07gcy,Tennis court\r\n/m/07_ghf,Shaanxi y-8\r\n/m/07ghrw,Austin fx4\r\n/m/07glzq,Sketch\r\n/m/07_gml,Working animal\r\n/m/07gn5h,Ochlodes\r\n/m/07_gpb,Scaphosepalum\r\n/m/07gqk7,Fiat barchetta\r\n/m/07gql,Trumpet\r\n/m/07gr_,Temperature\r\n/m/07gsmm,Samp\r\n/m/07gsv6,Toyota crown\r\n/m/07gt6l,Renault fiftie\r\n/m/07gwfj,Godetia\r\n/m/07gy44,Timbale\r\n/m/07gyv,Taekwondo\r\n/m/07h0r,Tasmanian wolf\r\n/m/07h17,Toucan\r\n/m/07h1v2,Dodge m37\r\n/m/07h2cz,British passport\r\n/m/07h51,Trail riding\r\n/m/07h5py,Crassocephalum\r\n/m/07h7jy,Intramural softball\r\n/m/07h7x0,Austrian briar\r\n/m/07h876,Potato scone\r\n/m/07h903,British rail class 81\r\n/m/07h93n,White footed Mouse\r\n/m/07h999,Chinlone\r\n/m/07_hbw,Setar\r\n/m/07hcnb,Tteokguk\r\n/m/07hg03,Republic day\r\n/m/07hgcp,Rein\r\n/m/07hh5h,Bog snorkelling\n/m/07hjh,Tyrannosaurus\r\n/m/07hr2l,Nut butter\r\n/m/07hr9x,Flatbread\r\n/m/07hs2l,Bitter lemon\r\n/m/07hs4p,Course\r\n/m/07hsg5,Hair care\r\n/m/07hskn,Strawberry juice\r\n/m/07hwg_,Mary jane\r\n/m/07hx1h,Gas flare\r\n/m/07hxn,Thai food\r\n/m/07j2f,Tattoo\r\n/m/07j3sv,Honda hr-v\r\n/m/07j412,Labor Day (USA)\r\n/m/07j41f,Cockroach\r\n/m/07j57g,Indian independence day\r\n/m/07j5dt,Barbary fig\r\n/m/07j6km,Motor gun boat\r\n/m/07j7r,Tree\r\n/m/07j87,Tomato\r\n/m/07j9bq,Alano español\r\n/m/07jb1c,Security lighting\r\n/m/07jbh,Ping pong\r\n/m/07jdr,Train\r\n/m/07jdtj,Scroll saw\r\n/m/07jg68,Mixed spice\r\n/m/07jjt,Track cycling\r\n/m/07jl02,Coney island hot dog\r\n/m/07jm90,Tank ship\r\n/m/07jmf,Keirin\r\n/m/07jtk1,Longbow\r\n/m/07jvk9,American Toad\r\n/m/07jx7,Triangle\r\n/m/07jz7_,Wingko\r\n/m/07jzyd,Renault caravelle\r\n/m/07k1l9,Chiffonier\r\n/m/07k1x,Tool\r\n/m/07k1yw,Chrysler turbine car\r\n/m/07k3c,Tundra\r\n/m/07k4r,T'ai chi ch'uan\r\n/m/07k4wh8,Baby gate\r\n/m/07k55_3,Hand luggage\r\n/m/07k5c3c,Aristotelia chilensis\r\n/m/07k5pv8,Rock cod\r\n/m/07k5tk,Cart noodle\r\n/m/07k60,Triple jump\r\n/m/07k6b7,Ssangyong korando\r\n/m/07k6c9,Cutlet\r\n/m/07k6kpw,M-150\r\n/m/07k6w8,Small to medium-sized cats\r\n/m/07k6zj,Pineapple festival\r\n/m/07k73g3,Power wrench\r\n/m/07k88_3,Fritanga\r\n/m/07k8qnq,Pyronia cecilia\r\n/m/07k8w_,Clownfish\r\n/m/07k9fsc,Wallpaper paste\r\n/m/07k9y2b,Freshwater marsh\r\n/m/07kb0f,Mercury m-series\r\n/m/07kbbhf,Elephants and Mammoths\r\n/m/07kbbqf,Lexus lfa\r\n/m/07kbg45,Buffalo curd\r\n/m/07kc0,Tide\r\n/m/07kc_,Theremin\r\n/m/07kcws,Boston cream pie\r\n/m/07kcz9,Italian soda\r\n/m/07kd2yy,Pig's trotters\r\n/m/07kdh0w,Beach basketball\r\n/m/07kdjg0,Khao manee\r\n/m/07kff6l,Rum cake\r\n/m/07kfhk,Thickening agent\r\n/m/07kfm,Tram\r\n/m/07kgkmx,Goldenrod\r\n/m/07kgtm,Drainage divide\r\n/m/07kh_jl,Woodball\r\n/m/07kjcmz,Electric torque wrench\r\n/m/07kjhv2,Euanthe sanderiana\r\n/m/07kjp14,Bk burger shots\r\n/m/07kk2p,Škoda felicia\r\n/m/07kkl0,Taffy\r\n/m/07kkq_,Renault frégate\r\n/m/07km6d,Plant milk\r\n/m/07kn7c,Alfa romeo 166\r\n/m/07kng9,Picnic basket\r\n/m/07kp54,Spy ship\r\n/m/07kprs,Horntail\r\n/m/07kzj3,Jamaican blue mountain coffee\r\n/m/07_l0f,Powder\r\n/m/07l1zh,Skibobbing\r\n/m/07l2j1,Grizzled skippers\r\n/m/07l2x3,Gremolata\r\n/m/07l44b,Performing arts center\r\n/m/07l4g,Tiramisu\r\n/m/07l4_w,Russet burbank potato\r\n/m/07l5g,Turbine\r\n/m/07l6s1,Bedford dormobile\r\n/m/07_l6,Viola\r\n/m/07l8p5,Side dish\r\n/m/07l949,Kaiserschmarrn\r\n/m/07l9d,Tex-mex food\r\n/m/07l9_f,Pekmez\r\n/m/07l9s,Trick-or-treat\r\n/m/07lb3,Test cricket\r\n/m/07lg66,Rotary tool\r\n/m/07lgx3,Serial cable\r\n/m/07ll3p,Pisto\r\n/m/07ll5f,Butternut squash\r\n/m/07lm25,British bulldogs\r\n/m/07lm3z,Leafhopper\r\n/m/07ln6l,Vise\r\n/m/07lp1p,Gambel oak\r\n/m/07lpk,Transformer\r\n/m/07lq49,Ssangyong musso\r\n/m/07lq6q,Kia concord\r\n/m/07lqbw,Kugelis\r\n/m/07lqg0,Biologist\r\n/m/07lqh2,Lockheed c-141 starlifter\r\n/m/07_lq,Vegetarian food\r\n/m/07lrp,Tomato sauce\r\n/m/07lt3t,Fall webworm\r\n/m/07lwtn,Old english bulldog\r\n/m/07lym_,Grape juice\r\n/m/07ly_,Tobacco\r\n/m/07m150,Đàn tỳ bà\r\n/m/07m1bd,Fishmonger\r\n/m/07m1s_,Đàn nguyệt\r\n/m/07m2g_,Ship replica\r\n/m/07m2y,Tuba\r\n/m/07m5rf,Heat-shrink tubing\r\n/m/07m6h5,Rogaining\r\n/m/07m6lq,Bundz\r\n/m/07mb95,Bouncy ball\r\n/m/07mbq,Tabloid\r\n/m/07mcwg,Cooking spray\r\n/m/07md0f,Acini di pepe\r\n/m/07md3,Thermocouple\r\n/m/07mf1,Thermometer\r\n/m/07mfhs,Cordoba fighting dog\r\n/m/07mhn,Trousers\r\n/m/07mk3n,Metal lathe\r\n/m/07mkdt,Beach plum\r\n/m/07mly,Tatra t600 tatraplan\r\n/m/07mql,Turboprop\r\n/m/07mrm5,St. paul sandwich\r\n/m/07mtbq,Peugeot pars\r\n/m/07mvq2,Melonpan\r\n/m/07mvz2,Glossy snake\r\n/m/07mxd9,Bully kutta\r\n/m/07mxhs,Western slender blind snake\r\n/m/07mxz8,Pyrrharctia isabella\r\n/m/07_my,Viking\r\n/m/07mzpp,Haupia\r\n/m/07n6j3,Étouffée\r\n/m/07n7lk,Car dealership\r\n/m/07n83,Tape drive\r\n/m/07n924,Škoda favorit\r\n/m/07n97g,Romanian mioritic shepherd dog\r\n/m/07n9pt,Galaktoboureko\r\n/m/07ncmg,Mombins\r\n/m/07ncqz,Jocote\r\n/m/07nfsf,Toyota avanza\r\n/m/07nfst,Capesize\r\n/m/07nfzf,Doogh\r\n/m/07ngqz,Kneeboard\r\n/m/07_nj6,Hyundai trajet\r\n/m/07nlyz,Spaghetti alla puttanesca\r\n/m/07nnhk,Oriental longhair\r\n/m/07npwc,Professional golfer\r\n/m/07npxf,Volkswagen eos\r\n/m/07nq30,Fleur de sel\r\n/m/07nq4,Tsunami\r\n/m/07nr9d,Colorpoint shorthair\r\n/m/07ns47,Börek\r\n/m/07nsv3,First generation mitsubishi lancer\n/m/07nxf2,Jointer\r\n/m/07n_y,Trireme\r\n/m/07p6_2,Lamborghini espada\r\n/m/07p7st,Portuguese podengo\r\n/m/07p82rh,Human action\r\n/m/07p9gt,Spread\r\n/m/07p9hh,Suya\r\n/m/07pb77,Duck meat\r\n/m/07pbfj,Fish\r\n/m/07pdzb4,Baseball equipment\r\n/m/07ph5g,Vauxhall prince henry\r\n/m/07phf8,Sweet chilli sauce\r\n/m/07pj0p,Mohinga\r\n/m/07pj3,Turbografx-16\r\n/m/07pj7bq,Bowling equipment\r\n/m/07pltdk,Pole\r\n/m/07pm33,Tamaryokucha\r\n/m/07p__m,Guard rail\r\n/m/07pmh3k,Chocolatier\r\n/m/07pmnl,Salad burnet\r\n/m/07pmr26,Snowboardboot\r\n/m/07pnmj,Confit\r\n/m/07pnzh3,Bow\r\n/m/07psy4,Serrated blade\r\n/m/07pt1g,Rauschpfeife\r\n/m/07pt9wt,Appetizer\r\n/m/07ptj3n,Cup\r\n/m/07pw27b,Atmospheric phenomenon\r\n/m/07pwpg,Pot-au-feu\r\n/m/07_py,Victoria bitter\r\n/m/07pzs_,Canarium ovatum\r\n/m/07p_zw,Handrail\r\n/m/07q11g7,Reed instrument\r\n/m/07q38c,Milky way\r\n/m/07q3b,Tapas\r\n/m/07q3ylx,Signaling device\r\n/m/07_q5t,Cestrum\r\n/m/07qcxs,Tinsmith\r\n/m/07qfq,Tasmanian devil\r\n/m/07qgb_,Mitre box\r\n/m/07_qj5,Honda s800\r\n/m/07ql1_,Sticky bun\r\n/m/07ql8f,Darjeeling tea\r\n/m/07qmlj,Rye bread\r\n/m/07qn8g,Culinary art\r\n/m/07qnx6,Riq\r\n/m/07qq8,Tom collins\r\n/m/07qqq,Torpedo\r\n/m/07qqrs,Pontiac star chief\r\n/m/07qr6,Turkish food\r\n/m/07qsrs,Fermented bean curd\r\n/m/07qv33,Thames trader\r\n/m/07qv7p,Soup beans\r\n/m/07qxg_,Football helmet\r\n/m/07qxmj,Baltimore clipper\r\n/m/07qy1,Torpedo boat\r\n/m/07qykf,Stonemason's hammer\r\n/m/07qym5,Lump hammer\r\n/m/07r04,Truck\r\n/m/07r2m5,Black and tan terrier\r\n/m/07r2x,Tropical cyclone\r\n/m/07r_3p,Sharpening jig\r\n/m/07r416,Scarlet oak\r\n/m/07r_4c,Drillship\r\n/m/07r7_w,Open water swimming\r\n/m/07r8xq,Sheep's sorrel\r\n/m/07rb8j,Midori\r\n/m/07rbbp,Giant otter\r\n/m/07rcyd,York boat\r\n/m/07_rcy,Tequila sunrise\r\n/m/07rflp,Plymouth gtx\r\n/m/07rgn,Hulk\r\n/m/07rgnq,Panel beater\r\n/m/07rh8f,Hawkeye\r\n/m/07rjp,Flash\r\n/m/07rk94,Black Skimmer\r\n/m/07rld4,Split-rail fence\r\n/m/07rlg,Triathlon\r\n/m/07_rn,Vanilla\r\n/m/07rq49j,Obstacle race\r\n/m/07rt1z,Lacrosse ball\r\n/m/07rx6b,Speaker wire\r\n/m/07ryq,Trillium\r\n/m/07rzxh,Windsor chair\r\n/m/07s053t,Equestrian sport\r\n/m/07s0p4,Cestrum nocturnum\r\n/m/07s11x,Charcuterie\r\n/m/07s1_d,Great Spangled Fritillary\r\n/m/07s28,Tofu\r\n/m/07s3kc_,American whiskey\r\n/m/07s3m,Tours (City)\r\n/m/07s40fv,Pollaxe\r\n/m/07s41z,Latte macchiato\r\n/m/07s464v,English cuisine\r\n/m/07s4mc2,Casunziei\r\n/m/07_s4,Video editing software\r\n/m/07s556k,Mclaren mp4-12c\r\n/m/07s5sp1,Tattoo artist\r\n/m/07s61gl,Chrysler sebring\r\n/m/07s6bqg,Cable car\r\n/m/07s6nbt,Text\r\n/m/07s6ny,Fokker 70\r\n/m/07s6ztg,Aglais\r\n/m/07s7dz,Char siu\r\n/m/07s8b87,Mesemb\r\n/m/07s8gg6,Black widow\r\n/m/07s8_rt,Game camera\r\n/m/07sb5rw,Pitru paksha\r\n/m/07sb9v6,Canal tunnel\r\n/m/07sbs1,Mock strawberry\r\n/m/07sc0px,Driven grouse shooting\r\n/m/07sccr0,Pabst blue ribbon\r\n/m/07s_fy,Nike free\r\n/m/07sg02,Artificial flower\r\n/m/07sh0l,Locket\r\n/m/07shcm,Pickerel Frog\r\n/m/07sk94,Headband\r\n/m/07sn5gn,Geological phenomenon\r\n/m/07sp05,Pineapple bun\r\n/m/07spvn,Chapulines\r\n/m/07srnl,Cheater bar\r\n/m/07sv3s,Skullcap\r\n/m/07sw7c,Vest frottoir\r\n/m/07sx2n,Natural material\r\n/m/07sz2vf,Boxing equipment\r\n/m/07t3nf,Tata sumo\r\n/m/07t6ss,Jorkyball\r\n/m/07t8gj,Mcdonnell douglas dc-9\r\n/m/07t8j,Ultimate\r\n/m/07_tb,Video game console\r\n/m/07tc3y,Jack-in-the-pulpit\r\n/m/07td2t,Tie bar\r\n/m/07tdy9,Cartwheel\r\n/m/07tf8,University\r\n/m/07t_h2,Africanis\r\n/m/07thfmn,Ginkgo\r\n/m/07thg6,Trekking pole\r\n/m/07tk22,Oldsmobile vista cruiser\r\n/m/07tkq53,Dipsosaurus\r\n/m/07tl9y,Sega mega drive\r\n/m/07tn4z,Medlar\r\n/m/07tn5,Unidentified flying object\r\n/m/07tqwb,Lancia dedra\r\n/m/07trp9,Sharpening stone\r\n/m/07twkb,Tromba marina\r\n/m/07txbq,Light aircraft\r\n/m/07ty4k,Saw set\r\n/m/07tyc5,Frittata\r\n/m/07tyfn,Thickness planer\r\n/m/07tz5y,Cradle\r\n/m/07v1rh,Citole\r\n/m/07v2z7,Cocktail bun\r\n/m/07v6gh,Hyundai grandeur\r\n/m/07v7c,Universe\r\n/m/07v9kf,Cow parsley\r\n/m/07v9_z,Measuring cup\r\n/m/07vc4v,Metalworking hand tool\r\n/m/07vgwn,Pumi\r\n/m/07vh6y,Hot dog bun\r\n/m/07vkp9,Chaise\r\n/m/07vnj6,Curd rice\r\n/m/07vnrz,Kaman hh-43 huskie\r\n/m/07vpt8,Spurflowers\r\n/m/07vtfy,Toyota granvia\r\n/m/07vtgz,Toyota alphard\r\n/m/07vvqb,Awning\r\n/m/07vw23,Hunt seat\r\n/m/07vwy6,Street art\r\n/m/07vxnt,Cycling shorts\r\n/m/07vxw5,Cycling shoe\r\n/m/07w1bn,Yellow lady's slipper\r\n/m/07w4fs,Karahi\r\n/m/07w863,Rugelach\r\n/m/07w_9,Quarter\r\n/m/07w9z5,Crudités\r\n/m/07w_d1,Oregon ash\r\n/m/07w_f3,Garden hose\r\n/m/07wmbj,Mountain bike racing\r\n/m/07wmhs,Bromelia\r\n/m/07wpp2,Air sports\r\n/m/07wpy8,Chocolate-covered raisin\r\n/m/07w_q5,Papel picado\r\n/m/07wr4v,Saltine cracker\r\n/m/07w_s_,Spoil tip\r\n/m/07wtym,Breaker\r\n/m/07wy17,Pehlwani\r\n/m/07x0k2,Opel antara\r\n/m/07x3gp,Lake sturgeon\r\n/m/07x47j,Boeing p-12\r\n/m/07x5x0,Pygmy Rabbit\r\n/m/07x6ml,Laundry detergent\r\n/m/07x770,Aburaage\r\n/m/07x7yj,Pancit\r\n/m/07x9l3,Belt sander\r\n/m/07xd92,Bmw 507\r\n/m/07xgrh,Ingredient\r\n/m/07xhbx,Marking knife\r\n/m/07xhj2,Scratch awl\r\n/m/07xjdg,Crab cake\r\n/m/07xsc9,Random orbital sander\r\n/m/07xt87,Ledum\r\n/m/07xx4r,Yellowtail amberjack\r\n/m/07xyvk,Coffeemaker\r\n/m/07xzm,Ukulele\r\n/m/07y04d,Night-blooming cactus\r\n/m/07y090,Moonlight cactus\r\n/m/07y0fm,Weberocereus\r\n/m/07y3p,Lockheed u-2\r\n/m/07y3tk,Toyota noah\r\n/m/07y3v_,Peniocereus\r\n/m/07y4q7,Community centre\r\n/m/07_y4,Viol\r\n/m/07y59n,Akapōhue\r\n/m/07y_7,Violin\r\n/m/07y82_,Everlasting\r\n/m/07y9pn,Passover seder plate\r\n/m/07ycqz,African violets\r\n/m/07yd7s,European green lizard\r\n/m/07yhdv,Stamp seal\r\n/m/07yj3ns,Cartellate\n/m/07yjb,Vampire\r\n/m/07ylmh,Coda alla vaccinara\r\n/m/07ynnv,Sikorsky r-4\r\n/m/07yr6s,Sikorsky h-5\r\n/m/07yr8h,Historic site\r\n/m/07yrgc,Yellow iris\r\n/m/07y_v2,Egg bhurji\r\n/m/07yv70,Chinese sausage\r\n/m/07yv9,Vehicle\r\n/m/07ywl,Volkswagen\r\n/m/07yxk,Valley\r\n/m/07yypm,Lamborghini islero\r\n/m/07yyxm,Russian standard\r\n/m/07yz8x,Pirouette\r\n/m/07z226,Broadcasting\r\n/m/07z2l,Veal\r\n/m/07z2_,Vellum\r\n/m/07z4p,Video\r\n/m/07z9_5,Renault 3\n/m/07z99y,Ford lightning\r\n/m/07zbk_,Sev mamra\r\n/m/07zfk6,Duxelles\r\n/m/07zl5y,Swage block\r\n/m/07zm1k,Gear shift\r\n/m/07zm_g,Tractor pulling\r\n/m/07zmqm,Bouillon\r\n/m/07zqwn,Repinique\r\n/m/07zs3l,Keelboat\r\n/m/07zs7d,Slender salamander\r\n/m/07ztg0,Botargo\r\n/m/07ztr3,Hyundai grace\r\n/m/07zv1r,Hyundai porter\r\n/m/07zvsz,Hyundai galloper\r\n/m/07zw4b,Financier\r\n/m/07zwnx,Combination machine\r\n/m/07zy_1,Gyūtan\r\n/m/07zy1,Velociraptor\r\n/m/07zygk,Mojave Rattlesnake\r\n/m/080_3_,Eggfruits\r\n/m/080530r,Sailor cap\r\n/m/08060lf,Oliang\r\n/m/08060mj,Andrajos\r\n/m/080694m,Colorado four o'clock\r\n/m/0806lrr,Watch phone\r\n/m/080833,Larix lyalliiSubalpine Larch\r\n/m/0808l76,Kopi tubruk\r\n/m/08099x4,Transmitter station\r\n/m/0809ssk,Amok\r\n/m/080b05k,Bocadillo\r\n/m/080byt0,Cape\r\n/m/080cpdy,Plank\r\n/m/080cthd,Television transmitter\r\n/m/080db5j,Panada\r\n/m/080dbn7,Eigenharp\r\n/m/080dk2h,Red sky at morning\r\n/m/080fpx0,Puzzle book\r\n/m/080hkc,Hiller oh-23 raven\r\n/m/080hkjn,Handbag\r\n/m/080hr7n,Lampredotto\r\n/m/080hz12,Motorized wheelchair\r\n/m/080j2jb,Rugby tens\r\n/m/080jdnj,Morcón\r\n/m/080jf8,Mangalore bajji\r\n/m/080jpd1,Coin purse\r\n/m/080jwwr,Vodka sauce\r\n/m/080kl9b,Chicken bog\r\n/m/080kqsb,Multicar\r\n/m/080kstp,Flip (acrobatic)\r\n/m/080lr7d,Nabalus\r\n/m/080mms9,Red horse beer\r\n/m/080mq6,Pressure washer\r\n/m/080mxl,Manic gt\r\n/m/080n530,Screw extractor\r\n/m/080n7g,Paper cutter\r\n/m/080n_n,Lamborghini 350gt\r\n/m/080pdf,Kettlebell\r\n/m/080pjbh,Pill organizer\r\n/m/080q8nl,Colorimeter\r\n/m/080sjd,Farmhouse\r\n/m/080t1x,Peugeot 207\r\n/m/080t7,Valve\r\n/m/080tl2,Rocket raccoon\r\n/m/080vl,Vinegar\r\n/m/080wc0,Tan-tan\r\n/m/080zb1,Goliath heron\r\n/m/0810l4,Diya\r\n/m/08127,Vodka\r\n/m/0812yk,Studebaker flight hawk\r\n/m/0814z1,Lingonberry jam\r\n/m/0815j2,Candy cigarette\r\n/m/0817np,Ford fusion\r\n/m/0817p2,Ford fusion\r\n/m/08186,Bell boeing v-22 osprey\r\n/m/08186b,Rolled oats\r\n/m/0819_9,Bentley state limousine\r\n/m/081bj,V-1 flying bomb\r\n/m/081blf,Bisquick\r\n/m/081c3r,Table shuffleboard\r\n/m/081ct1,Volvo 700 series\r\n/m/081dv8,Alfa romeo 2000\r\n/m/081h_g,Balsam fir\r\n/m/081hv,Wedding\r\n/m/081lg8,Peterbald\r\n/m/081lvg,Lampshade\r\n/m/081m0g,Rolls-royce silver ghost\r\n/m/081pkj,Event\r\n/m/081pl8,Auto mechanic\r\n/m/081qc,Wine\r\n/m/081rb,Writing\r\n/m/081t56,Nissan micra\r\n/m/081tx_,1957 chevrolet\r\n/m/081w1d,Ball (rhythmic gymnastics)\r\n/m/081w35,Hoop (rhythmic gymnastics)\r\n/m/081w3j,Ribbon (rhythmic gymnastics)\r\n/m/081w4k,Rope (rhythmic gymnastics)\r\n/m/081zj5,Welsh springer spaniel\r\n/m/0820mg,Bannock\r\n/m/08214,Woodworking\r\n/m/0824hp,Sausage gravy\r\n/m/0824m4,Pignolata\r\n/m/0824x7,Hot and sour soup\r\n/m/0826z7,Mujaddara\r\n/m/082bv,Whisky\r\n/m/082cb,War\r\n/m/082dz6,Imperial moth\r\n/m/082j63,Steller's sea eagle\r\n/m/082mlc,Stock trader\r\n/m/082nb_,Toyota hiace\r\n/m/082q23,Rolls-royce camargue\r\n/m/082t9x,Lumbriculus variegatus\r\n/m/082wwt,Tooheys new\r\n/m/082x3k,Eurasier\r\n/m/082yr0,Arrowgrass\r\n/m/083612,Pattypan squash\r\n/m/0836fh,Piston ring\r\n/m/0836l1,Enclosure\r\n/m/0838f,Water\r\n/m/0839np,Solomon's plume\r\n/m/083ch4,Japanese amberjack\r\n/m/083jv,White\r\n/m/083kb,Weapon\r\n/m/083kv,Wire\r\n/m/083l19,Mattar paneer\r\n/m/083mg,Walking\r\n/m/083p6f,Supermini\r\n/m/083pnc,Blowout\r\n/m/083qqcx,Tortiglioni\n/m/083r5c,Venturi fétish\r\n/m/083s2,Wing\r\n/m/083tpm,Toma cheese\r\n/m/083ts1,Polyphemus moth\r\n/m/083tx9,Bagna càuda\r\n/m/083vt,Wood\r\n/m/083wq,Wheel\r\n/m/083ydh,Eagle medallion\r\n/m/08439z,Window screen\r\n/m/0843s5,Mitsubishi i\r\n/m/0846kq,Scrubs\r\n/m/0846mg,Stack cake\r\n/m/0847zd,Sencha\r\n/m/08486,Weed\r\n/m/0848dn,Jinghu\r\n/m/0848fb,Chilopsis\r\n/m/0848hd,Sofrito\r\n/m/0849l,Weightlifting\r\n/m/084b1v,Ainu cuisine\r\n/m/084bl,Wakeboarding\r\n/m/084cz,Wasabi\r\n/m/084fnj,Heat gun\r\n/m/084gkq,Malpighia\r\n/m/084gn8,Acerola family\r\n/m/084hf,Worm\r\n/m/084ml3,Whiptail lizard\r\n/m/084n_5,Bourbon ball\r\n/m/084nq3,Caesalpinia\r\n/m/084rd,Wok\r\n/m/084rsc,Aqua\r\n/m/084rw,Wing chun\r\n/m/084s69,Ready brek\r\n/m/08_4sd,Collection\r\n/m/084sq,Wolf\r\n/m/084tp,Walrus\r\n/m/084t_r,Lobster newberg\r\n/m/084x1x,Cluster ballooning\r\n/m/084xg4,Banhu\r\n/m/084_y8,Mirepoix\r\n/m/084_y,Worcestershire sauce\r\n/m/084z41,Guelder rose\r\n/m/084zz,Whale\r\n/m/0851_g,Nikujaga\r\n/m/0852z,Werewolf\r\n/m/0854hd,Hyundai aero\r\n/m/0854wm,Greater burdock\r\n/m/0854xd,Hyundai 8 to 25-ton truck\r\n/m/0856tt,Chrysops\r\n/m/085714,Manti\r\n/m/0857g,Whistleblower\r\n/m/0859j,White russian\r\n/m/085bh5,Konghou\r\n/m/085dk8,Sweet sixteen\r\n/m/085f6,Wombat\r\n/m/085fdt,Parmigiana\r\n/m/085_jn,Kia bongo\r\n/m/085jw,Woodwind instrument\r\n/m/085k30,Bakauke\r\n/m/085kgv,Gimlet\r\n/m/085n4,Website\r\n/m/085r4f,Okinawan kobudō\r\n/m/085s8y,Gemsbok\r\n/m/085sfj,Paintball equipment\r\n/m/085sr8,Earthdog trial\r\n/m/085y2y,Rainbow Darter\r\n/m/085znw,Palatschinke\r\n/m/0860zf,Citroën c-crosser\r\n/m/08612s,Rump cover\r\n/m/0861ty,Gujeolpan\r\n/m/08626,Whippet\r\n/m/0862z_,Škoda 120\r\n/m/0866gn,Dodge nitro\r\n/m/0866r,Weather\r\n/m/0867fw,Complete wheat bran flakes\r\n/m/08698t,Rajas con crema\r\n/m/086bhh,Chess boxing\r\n/m/086cy,Wildebeest\r\n/m/086fl8,Coconut water\r\n/m/086gvs,Fruit butter\r\n/m/086hsc,Makguksu\r\n/m/086jfn,Cancer\r\n/m/086l9v,Club\r\n/m/086mh,Winter\r\n/m/086mlw,Škoda 130\r\n/m/086mnl,Cacique\r\n/m/086nh,Web page\r\n/m/086tj,Wolverine\r\n/m/086vh1,Turkestan tulip\r\n/m/086z5w,Foundry\r\n/m/087234,Murukku\r\n/m/0872b5,Smooth amaranth\r\n/m/0872bw,Love lies bleeding\r\n/m/0874qq,Picket fence\r\n/m/0875nm,Parmo\r\n/m/0876kj,Western Whiptail\r\n/m/0876xz,Lamborghini jarama\r\n/m/08770w,Lamborghini silhouette\r\n/m/0878sv,Suezmax\r\n/m/08790l,Boutique\r\n/m/0879r3,Squid\r\n/m/087b5r,Palak paneer\r\n/m/087bpd,Flat white\r\n/m/087c_r,Dachshund racing\r\n/m/087gjw,Shanklish\r\n/m/087gx,X-ray\r\n/m/087krf,Research institute\r\n/m/087n88,Coast horned lizard\r\n/m/087nk,X-men\r\n/m/08_7p7,Sugar plum\r\n/m/087t72,Lamborghini urraco\r\n/m/087zy,Yoga\r\n/m/0882v3,Desert spiny lizard\r\n/m/0882z,Yeast extract\r\n/m/08851d,Cubeb\r\n/m/08854,Yacht\r\n/m/08863x,Bird's-eye view\r\n/m/088_7,Ginger family\r\n/m/08894s,Nian gao\r\n/m/088_cp,Fernet\r\n/m/088fh,Yellow\r\n/m/08_8gs,Opel vivaro\r\n/m/088kg2,Oysters rockefeller\r\n/m/088km,Yom kippur\r\n/m/088l6h,Family car\r\n/m/088lm,Yeast\r\n/m/088s6y,Masenqo\r\n/m/088v8m,Bawu\r\n/m/088vrn,Rice water\r\n/m/088vv,Zingiberales\r\n/m/088yk,Datsun/nissan z-car\r\n/m/088zhn,Gymea lily\r\n/m/0891tx,Toyger\r\n/m/08924j,Bouffant\r\n/m/08925z,Chiles en nogada\r\n/m/0892cv,Battery charger\r\n/m/0892p,Zeppelin\r\n/m/08951m,Peugeot 304\r\n/m/08978z,Plumb bob\r\n/m/0898b,Zebra\r\n/m/0898zw,Mitsubishi endeavor\r\n/m/0899b,Zen\r\n/m/0899pd,Railroad engineer\r\n/m/089c9j,Bakkwa\r\n/m/089cmw,Big red\r\n/m/089d6h,Belt buckle\r\n/m/089gzl,Cornelian cherry\r\n/m/089jlx,Barebone computer\r\n/m/089jx9,Pontiac pathfinder\r\n/m/089lt2,Horseball\r\n/m/089mxq,Glass bottle\r\n/m/089qxh,Diple\r\n/m/089r9f,Weetos\r\n/m/089sv1,Facial tissue\r\n/m/089v3,Zoo\r\n/m/089vcl,Thai ridgeback\r\n/m/089vq_,Friendship sloop\r\n/m/089z__,Chrysler town and country\r\n/m/08b02s,British semi-longhair\r\n/m/08b1tb,Cuban espresso\r\n/m/08b2yn,Shrimp paste\r\n/m/08b4g7,Cherry Tomatoes\r\n/m/08b4k2,Honeydew\r\n/m/08b4vj,Orzo\r\n/m/08b6d9,Animal cracker\r\n/m/08b9f0,Garden cosmos\r\n/m/08bgdn,Grana padano\r\n/m/08bk3g,Simit\r\n/m/08bqct,Bridal shower\r\n/m/08br2b,Ringmaster\r\n/m/08brx7,Ghaychak\r\n/m/08bybv,Taepyeongso\r\n/m/08c1x8,Ladies' gaelic football\r\n/m/08c5h8,Brazilian terrier\r\n/m/08c5mh,Qantu\r\n/m/08cbln,Chopped liver\r\n/m/08cbmp,Mamey sapote\r\n/m/08chc_,Taquito\r\n/m/08__cl,Chinese chicken salad\r\n/m/08cqjq,Cordia sebestena\r\n/m/08cs45,Crevice spiny lizard\r\n/m/08ct4m,Sunflower oil\r\n/m/08cxqy,Bicycle trainer\r\n/m/08d3_m,Lepanthopsis\r\n/m/08d49t,Kolak\r\n/m/08d4mp,Myoxanthus\r\n/m/08d531,Egg drop soup\r\n/m/08d581,Platystele\r\n/m/08d5kd,Alfa romeo sprint\r\n/m/08d5py,Jaguar mark 2\r\n/m/08d_8c,Noodle soup\r\n/m/08dckq,Carbon monoxide detector\r\n/m/08df7k,Karelian hot pot\r\n/m/08dh9n,Peavey\r\n/m/08dj22,Cock-a-leekie soup\r\n/m/08dj_n,Clan crusader\r\n/m/08dk2r,Frog cake\r\n/m/08dl6d,Shaobing\r\n/m/08dmm7,Marines\r\n/m/08dnt9,F-clamp\r\n/m/08dp34,St. martin's day\r\n/m/08drcy,Audi ur-s4 / ur-s6\r\n/m/08drwz,Bicerin\r\n/m/08dtjx,Blood amaranth\r\n/m/08dyjp,Beriev be-6\r\n/m/08dz3q,Auto part\r\n/m/08f1tl,Lemon myrtle\r\n/m/08f9nq,Renault alpine gta/a610\r\n/m/08fc4t,Blue cheese dressing\r\n/m/08fchb,Steak sauce\r\n/m/08fgwk,Contact sport\r\n/m/08fjdx,Anticuchos\r\n/m/08fl88,Woodpecker finch\r\n/m/08fnw_,Ikan bakar\r\n/m/08fs21,Cuff\r\n/m/08fw1g,Food group\r\n/m/08fwzc,Cricket frog\r\n/m/08fyx1,Chawanmushi\r\n/m/08f_zh,Pont-audemer spaniel\r\n/m/08g5m3,Nshima\r\n/m/08g6gy,Mentaiko\r\n/m/08g852,American linden\r\n/m/08_g97,Sarapatel\r\n/m/08_gcm,Bebinca\r\n/m/08gfcw,Balsam family\r\n/m/08gftv,Water basketball\r\n/m/08_gg1,Gujarati cuisine\r\n/m/08gjgc,Photo booth\r\n/m/08gl12,Cyrilla\r\n/m/08gl3j,Pressed duck\r\n/m/08gl4z,Dutch shepherd dog\r\n/m/08gn1d,Jícama\r\n/m/08_gnp,Garcinia indica\r\n/m/08gp3q,De tomaso vallelunga\r\n/m/08gpyv,Karva chauth\r\n/m/08gqpm,Cup\r\n/m/08gsst,Sisig\r\n/m/08gtgn,Chorus frog\r\n/m/08g_yr,Temple\r\n/m/08gyzm,Japchae\r\n/m/08gzhm,Gelbwurst\r\n/m/08_h24,Great heron\r\n/m/08h3w0,Joss stick\r\n/m/08h6mq,Chocolate-coated peanut\r\n/m/08h71_,Baluster\r\n/m/08_h7n,Nipple\r\n/m/08h816,Curry mee\r\n/m/08hczw,Bentley speed 8\r\n/m/08hdmx,Fruit snack\r\n/m/08hhz2,Sheep\r\n/m/08hj6p,Amphibious command ship\r\n/m/08hnjb,Bookselling\r\n/m/08hr0v,Phall\r\n/m/08hv3x,Kabusecha\r\n/m/08hvt4,Jug\r\n/m/08hvz4,Colt\r\n/m/08hwm5,Landing craft mechanized\r\n/m/08hwxy,Toyota comfort\r\n/m/08hx1t,Red eye\r\n/m/08j_0l,Bancha\r\n/m/08j25g,Colonel\r\n/m/08j2y5,Hackmatack\r\n/m/08j3h1,Spotted weakfish\r\n/m/08j4zq,Chrysler airflow\r\n/m/08jcd3,Southernwood\r\n/m/08_jd7,Willow Oak\r\n/m/08jdng,Gumpert apollo\r\n/m/08jfys,Tulumba\r\n/m/08jhp4,Xiaolongbao\r\n/m/08jj0f,Delmonico steak\r\n/m/08jj14,Belostomatidae\r\n/m/08jlxg,Toyota masterace\r\n/m/08jn5s,Feather cloak\r\n/m/08jpwt,Light fixture\r\n/m/08jr5t,Audi avus quattro\r\n/m/08jtcq,Eggfruit\r\n/m/08_jw6,Iguania\r\n/m/08jwbx,Fast attack craft\r\n/m/08k3d3,Ferrari 512\r\n/m/08k4nr,Mcgriddles\r\n/m/08k64l,Cargo pants\r\n/m/08k870,Sticky toffee pudding\r\n/m/08k9wc,Sensei\r\n/m/08kb4k,Cuckoo flower\r\n/m/08kfx8,Bossaball\r\n/m/08kgy_,Daewoo tacuma\r\n/m/08kkns,Plott hound\r\n/m/08km_y,Stromboli\r\n/m/08kn6l,Motion detector\r\n/m/08knth,Ford edge\r\n/m/08ks85,Pizza cutter\r\n/m/08ks_f,Opera glasses\r\n/m/08l2jr,Icemaker\r\n/m/08l423,Shincha\r\n/m/08l44y,Garage\r\n/m/08l55l,Kanafeh\r\n/m/08l60s,Attic\r\n/m/08l6lr,Group C\r\n/m/08l941,Garage door\r\n/m/08_lb1,Alfa romeo 90\r\n/m/08lbyb,Buddha's hand\r\n/m/08llkw,Campanelle\r\n/m/08llm7,Cavatelli\r\n/m/08llml,Conchiglie\r\n/m/08lqhv,Hyundai entourage\r\n/m/08lqrv,Conk\r\n/m/08lqvm,Maruti alto\n/m/08lt56,Signal processor\r\n/m/08ly7p,Shenyang j-11\r\n/m/08_lyk,Gmc acadia\r\n/m/08m24m,Cacciatore\r\n/m/08m37j,Prawn cocktail\r\n/m/08m_7f,Kelaguen\r\n/m/08mb2z,Flying trapeze\r\n/m/08mb92,Appenzeller sennenhund\r\n/m/08_mdb,Alfa romeo montreal\r\n/m/08mdgg,Panhard pl 17\r\n/m/08_mdr,Alfa romeo gta\r\n/m/08mgkp,American staghound\r\n/m/08ml_c,Kick scooter\r\n/m/08mm4m,Billiard room\r\n/m/08mnzh,Desert rose\r\n/m/08mp17,Mobility scooter\r\n/m/08mr_c,Garri\r\n/m/08myc3,Kofta\r\n/m/08n0c4,Pontiac banshee\r\n/m/08n2_m,Dirt jumping\r\n/m/08n3ym,Thanksgiving dinner\r\n/m/08n9ql,Delirium tremens\r\n/m/08nc0g,South asian sweets\r\n/m/08ncv6,Capsule\r\n/m/08nf16,Chinese sturgeon\r\n/m/08nfym,Western juniper\r\n/m/08nhd_,River juniper\r\n/m/08nhst,Ragamuffin\r\n/m/08nj45,Chana masala\r\n/m/08nk6x,Garlic bread\r\n/m/08nkrj,Northrop a-17\r\n/m/08nl_l,Chocolate letter\r\n/m/08nmvx,S-curl\r\n/m/08nqvp,Salo\r\n/m/08nsh1,Mahlab\r\n/m/08nsjh,Ford ltd crown victoria\r\n/m/08nswt,Fence Lizard\r\n/m/08nvms,Jeep forward control\r\n/m/08nw18,Fly orchid\r\n/m/08nxyq,Ski cross\r\n/m/08p0pp,Molossus\r\n/m/08p0zr,Segmental bridge\r\n/m/08p10w,Jarana jarocha\r\n/m/08p17l,Kukicha\r\n/m/08p3dt,Court shoe\r\n/m/08p43d,Gas pump\r\n/m/08p4gp,Financial adviser\r\n/m/08p4pm,Bmw h2r\r\n/m/08p5c6,White cockle\r\n/m/08p92x,Cream\r\n/m/08p97j,Evening glove\r\n/m/08pb1g,Australian stumpy tail cattle dog\r\n/m/08pbxl,Monkey\r\n/m/08pc5d,Trenette\r\n/m/08pcpy,Astilbe\r\n/m/08pj09,King fish\r\n/m/08pj6x,Mock poppy\r\n/m/08pjlp,Long toed Salamander\r\n/m/08pjw1,Long pepper\r\n/m/08pk5m,Patch panel\r\n/m/08pkfn,Ipu\r\n/m/08pmh5,Mercedes-benz gl-class\r\n/m/08pmrl,Antelope jackrabbit\r\n/m/08pmt0,Alaskan klee kai\r\n/m/08pnv3,Leak\r\n/m/08q1pn,Matoke\r\n/m/08q1tg,Crash\r\n/m/08q1xp,Office chair\r\n/m/08qktj,Kanni\r\n/m/08qlq7,Casado\r\n/m/08q_mn,Polish greyhound\r\n/m/08qnhw,Liqueur coffee\r\n/m/08qnwg,Lotus 25\r\n/m/08qp0b,Lotus 33\r\n/m/08qpc5,Andouillette\r\n/m/08qpj0,Cassata\r\n/m/08qpk3,Adana kebabı\r\n/m/08qrwn,Rubble\r\n/m/08q_w3,Canna family\r\n/m/08qy9j,Pongal\r\n/m/08qytw,Finnish lapphund\r\n/m/08qyx9,Speed badminton\r\n/m/08r06m,Ice yachting\r\n/m/08r0cl,Abert's squirrel\r\n/m/08r0rx,Norrbottenspets\r\n/m/08r319,Bavarian mountain hound\r\n/m/08r3b1,Tea lady\r\n/m/08r4r3,Corvette mako shark\r\n/m/08r7z8,Cessna 421\r\n/m/08rh6b,Bell 412\r\n/m/08rjxz,Sheepshead\r\n/m/08rkn5,Frontenis\r\n/m/08rpsy,Lancia prisma\r\n/m/08rqd4,United states passport\r\n/m/08rrcl,Water transportation\r\n/m/08rt0s,Piscola\r\n/m/08rwqz,Oxtail\r\n/m/08rx0_,Doppio\r\n/m/08ry3v,Hobo bag\r\n/m/08s0ws,Boykin spaniel\r\n/m/08s5tn,Black headed Grosbeak\r\n/m/08s69n,The event of ghadir khumm\r\n/m/08s90h,Mukimono\r\n/m/08s95c,Ossobuco\r\n/m/08sbzc,Mercedes-benz vaneo\n/m/08scd8,Cudweed\r\n/m/08scmm,Great masterwort\r\n/m/08sj9d,Keo\r\n/m/08skj6,Longdog\r\n/m/08sp7z,Tumbi\r\n/m/08sqzs,Amc rebel\r\n/m/08svdv,Function hall\r\n/m/08sxj7,Thescelosaurus\r\n/m/08sznw,Unipower\r\n/m/08t0vy,Individual sports\r\n/m/08t5qs,Water biscuit\r\n/m/08t80d,Landjäger\r\n/m/08t9c_,Grass\r\n/m/08_tbz,Tufted capuchin\r\n/m/08tf58,Japanese rhinoceros beetle\r\n/m/08tlbj,Natural foods\r\n/m/08tnvc,Romeritos\r\n/m/08trvs,Pacific newt\r\n/m/08tsqv,California newt\r\n/m/08tw6_,Aquarium fish feed\r\n/m/08twxg,Poblano\r\n/m/08v2hh,Farfalle\r\n/m/08v3mg,Rudbeckia\r\n/m/08v4gh,Vintage clothing\r\n/m/08v616,Yellow Canada lily\r\n/m/08vhj0,Throwball\r\n/m/08vqq1,Dacia solenza\r\n/m/08vswk,Idiyappam\r\n/m/08vtlt,Yam\r\n/m/08vzfb,Rigatoni\r\n/m/08w0d9,Hot-melt adhesive\r\n/m/08w_11,Mishima beef\n/m/08_w5l,White-fronted capuchin\r\n/m/08w5qr,Citroën type a\r\n/m/08w7gq,Sopa de mondongo\r\n/m/08w7kh,Saab 9-4x\r\n/m/08w800,Ajiaco\r\n/m/08w8zl,Ranch\r\n/m/08wb8x,Acura csx\r\n/m/08wcf_,Arroz con pollo\r\n/m/08wcjr,Tour guide\r\n/m/08w_cs,Cat fish\r\n/m/08wgvg,Lockheed yo-3\r\n/m/08whb2,Lemon beebalm\r\n/m/08wksg,Renault rodeo\r\n/m/08wmgk,Alfa romeo alfa 6\r\n/m/08wmwx,Boeing 747-8\r\n/m/08wnps,Toyota innova\r\n/m/08wphn,Maillot\r\n/m/08wqhg,Gözleme\r\n/m/08wrzy,Hanover hound\r\n/m/08wty8,Horse-heal\r\n/m/08wxdg,Pitching machine\r\n/m/08wxjl,Woolly sunflower\r\n/m/08wxk8,Violin family\r\n/m/08wzr5,Luo han guo\r\n/m/08x6d0,Comfit\r\n/m/08x9c0,Polydactyl cat\r\n/m/08xd3x,Bungee cord\r\n/m/08xdbd,Rocker cover\r\n/m/08xf1x,Non-Sporting Group\r\n/m/08xgn7,Comfort\r\n/m/08xhj_,Jajangmyeon\r\n/m/08xmsn,Lahmacun\r\n/m/08xnyx,Coral bells\r\n/m/08xv3y,Hurricane\r\n/m/08y66y,Tea egg\r\n/m/08y67z,Škoda 100\r\n/m/08y7gz,Rousong\r\n/m/08y7p8,Abdomen\r\n/m/08y84z,Rubber Boa\r\n/m/08yb7f,Fairchild c-26 metroliner\r\n/m/08yl24,Bregenwurst\r\n/m/08yl9j,Enfield 8000\r\n/m/08ymyp,Chrysobalanus icaco\r\n/m/08ynpg,Vinegar tree\r\n/m/08yp1s,Hut\r\n/m/08ypyj,Slave ship\r\n/m/08ys39,Alfa romeo spider\r\n/m/08yt4t,Mg y-type\r\n/m/08yxfp,Audi avantissimo\r\n/m/08yzrn,Maharashtrian cuisine\r\n/m/08z1vt,Glue stick\r\n/m/08z2gl,Japanese curry\r\n/m/08z3n8,Bushfood\r\n/m/08z49w,Tower running\r\n/m/08z4p6,Peugeot 604\r\n/m/08z89y,Subaru 1000\r\n/m/08z8jn,Check-in\r\n/m/08z8sy,Suzuki fronte\r\n/m/08z8t9,Miniature siberian husky\r\n/m/08zd8s,Morgan +4\r\n/m/08zgdk,Maserati merak\r\n/m/08zggp,Maserati khamsin\r\n/m/08zgk4,Maserati kyalami\r\n/m/08zgq1,Maserati biturbo\r\n/m/08zgs3,Qeema\r\n/m/08_zh1,Butorides\r\n/m/08zj35,Baati\r\n/m/08zj4y,C-clamp\r\n/m/08zj5m,Unagi\r\n/m/08z_n4,Ruf ctr2\r\n/m/08znk6,Chicken fries\r\n/m/08zsw9,Panokseon\r\n/m/08zvcl,Enduro\r\n/m/08zw6l,Almond meal\r\n/m/08zwst,Ugni\r\n/m/0904xp,Agalychnis\r\n/m/09053f,Hoppin' john\r\n/m/0906bg,Pantsuit\r\n/m/0908vv,Golden crowned Sparrow\r\n/m/090b55,Gyūhi\r\n/m/090b9q,Hog nosed skunk\r\n/m/090f96,Kick\r\n/m/090fzw,Garden designer\r\n/m/09_0g6,Rock fishing\r\n/m/090j23,Water feature\r\n/m/090lf7,Friction drum\r\n/m/090ljv,Exercise equipment\r\n/m/090mrr,Diet food\r\n/m/090ng0,Treehopper\r\n/m/090p5y,Garden buildings\r\n/m/090pbr,Landscape lighting\r\n/m/090t7g,Velvet bean\r\n/m/0911jt,Silo\r\n/m/091410,Collar\r\n/m/09141t,Collar\r\n/m/0916rv,Auxiliary ship\r\n/m/09_186,Citroën u23\r\n/m/0919rx,Line art\r\n/m/091_9x,Handyman\r\n/m/091_dt,Pu pu platter\r\n/m/091fxn,Premier padmini\r\n/m/091jk8,Rice vermicelli\r\n/m/091lk8,Grand plantain\r\n/m/091lvp,American pokeweed\r\n/m/091qfn,Rocker arm\r\n/m/09_1qp,Bentley brooklands\r\n/m/091qsl,Green curry\r\n/m/091rs3,Buñuelo\r\n/m/091sdm,Cretons\r\n/m/092468,Jaguar xk140\r\n/m/09248h,Jaguar xk120\r\n/m/0924z6,Carpet sweeper\r\n/m/0928y8,Cessna 404 titan\r\n/m/09_2bb,Curtained hair\r\n/m/092f7p,Chinese herb tea\r\n/m/092h05,Toyota belta\r\n/m/092_h2,Gỏi cuốn\r\n/m/092hlb,Nasi goreng\r\n/m/092jzx,Volkswagen brasilia\r\n/m/092ldk,Chilli crab\r\n/m/092mkr,Ascari kz1\r\n/m/092x18,Trial\r\n/m/092zn_,Ac aceca\r\n/m/092_zv,Dog meat\r\n/m/0931f7,Knarr\r\n/m/09_32m,Medical technologist\r\n/m/0934pl,Ascari ecosse\r\n/m/09370d,Bockwurst\r\n/m/0937qk,Cadillac type 51\r\n/m/093998,Citroën belphégor\r\n/m/093b8w,Fusilli\r\n/m/093c5c,Vanessa (butterfly)\r\n/m/093m5h,Valiha\r\n/m/093n8t,Massage chair\r\n/m/093q_5,Royal icing\r\n/m/093q7v,Aquanaut\r\n/m/093q8j,Motor ship\r\n/m/093shy,Reservoir\r\n/m/093stt,Spring greens\r\n/m/093wbb,Mercedes-benz w112\r\n/m/09_3x4,Sikorsky s-64 skycrane\r\n/m/093z0d,Suzuki sx4\r\n/m/093z2k,Carlin pinscher\r\n/m/09448n,Lo mein\r\n/m/09459r,Puttu\r\n/m/094_69,Spanish rice\r\n/m/0946kz,Appam\r\n/m/0947n4,Robber flies\r\n/m/094_80,Tandem skydiving\r\n/m/09486b,Mg zt\r\n/m/0949wr,Daewoo tosca\r\n/m/094dt6,Ikizukuri\r\n/m/094gjs,Wedding favors\r\n/m/094jc,Fishing\r\n/m/094jdr,Sausage bread\r\n/m/094lf7,Arum\r\n/m/094qm7,Thai basil\r\n/m/094qqc,Lemon basil\r\n/m/094qrr,Jasmine rice\r\n/m/094qt4,Massaman curry\r\n/m/094r11,Palm sugar\r\n/m/094rgd,Fiat sedici\r\n/m/09_4vq,Claytonia\r\n/m/094wynp,Duck legs\r\n/m/094wyp8,Duck fat\r\n/m/094xh9,Matra murena\r\n/m/09_4__,Zil-41047\r\n/m/0950kt,Easter bread\r\n/m/09515x,Soft tennis\r\n/m/0951k9,Lotus 43\r\n/m/09531z,Fujara\r\n/m/0954qx,Mercedes 35 hp\r\n/m/095951,Wattleseed\r\n/m/095b8g,Diddley bow\r\n/m/095bb,Animated cartoon\r\n/m/095kf8,Chevrolet opala\r\n/m/095_n6,Jeep hurricane\r\n/m/095_n,Heart\r\n/m/095qft,Hooverball\r\n/m/095r3k,Roystonea\r\n/m/095rbj,Nissan versa\r\n/m/095t7c,Cheese bun\r\n/m/09_5w7,Zis-101\r\n/m/095yjj,Classical sculpture\r\n/m/095zt,Cotton\r\n/m/09618k,Noilly prat\r\n/m/09636_,Strozzapreti\r\n/m/0963wm,Chivito\r\n/m/0964p7,Corn kernels\r\n/m/096779,Citroën c-airplay\r\n/m/09686,Vertebrate\r\n/m/09693d,Pumpkin bread\r\n/m/09696,Wheat\r\n/m/096bv8,Guilinggao\r\n/m/096c6y,Ga-ga\r\n/m/096cfw,Cizeta-moroder v16t\r\n/m/096f8,Show jumping\r\n/m/096mb,Lion\r\n/m/096ph2,Nurse midwife\r\n/m/096txy,Saltimbocca\r\n/m/096x1p,Porsche 911 gt3\r\n/m/096xhc,Saigon cinnamon\r\n/m/096xk,Alkanna tinctoria\r\n/m/096xlh,Riparian zone\r\n/m/096yqg,Studebaker champ\r\n/m/09702,Cappuccino\r\n/m/0970fj,Kaszanka\r\n/m/09_717,Zil-111\r\n/m/0971v,Beef\r\n/m/09728,Bread\r\n/m/09738,Arctic\r\n/m/09747c,Abyssinian\r\n/m/09759,Rice\r\n/m/0975t,Clay\r\n/m/09777,Salmon\r\n/m/0979cg,Khlui\r\n/m/0979w7,Coastal defence ship\r\n/m/0979xb,Khim\r\n/m/097bhm,Khanom bueang\r\n/m/09_7cw,Dodge charger\r\n/m/097m3l,Lotus europa s\r\n/m/097nm2,Zapate\r\n/m/09_7pp,Facel vega excellence\r\n/m/097vm,Thinking\r\n/m/097vqt,Okara\r\n/m/097w2y,Ariel atom\r\n/m/097wdq,Infrared thermometer\r\n/m/097wsh,Exercise machine\r\n/m/097xx1,Sfogliatelle\r\n/m/097ybm,Muenster cheese\r\n/m/097ykl,Beef chow fun\r\n/m/09_818,Zil-114\r\n/m/098192,Star-lord\r\n/m/0981pb,Chow mein sandwich\r\n/m/09836s,Coccoloba diversifolia\r\n/m/0983j_,Anthocharis\r\n/m/0983v,Barbecue\r\n/m/0985p5,Carnitas\r\n/m/0985z0,Optical fiber\r\n/m/09872,Oniscidea\r\n/m/0987_m2,Tax software\r\n/m/0987n4,Swamp hickory\r\n/m/0987_ns,Video game software\r\n/m/0988q4,Ruf ctr\r\n/m/0988ty,Vanillekipferl\r\n/m/098c8p,Drover\r\n/m/098dtj,Pisang goreng\r\n/m/098f9,Loris\r\n/m/098k3m,Gittern\r\n/m/098lc9,Aesculus californica\r\n/m/098m4z,Tallow shrub\r\n/m/098m_8,White Admiral or Red spotted Purple\r\n/m/098pd,Landslide\r\n/m/098qj7,Ruf rt 12\r\n/m/098qsm,Paixiao\r\n/m/098rfq,Ruf 3400s\r\n/m/098slz,Zha cai\r\n/m/098tnl,Bianzhong\r\n/m/0992p0,Xiao\r\n/m/0992v5,Danso\r\n/m/099316,After shock\r\n/m/09_94,Nordic combined\r\n/m/0999ts,Ocean rowing\r\n/m/099cwp,Oyster omelette\r\n/m/099fg9,Storekeeper\r\n/m/099fz,Sand\r\n/m/09_9gc,Northrop grumman mq-8 fire scout\r\n/m/099kpq,Dornier 328\r\n/m/099lp,Drought\r\n/m/099md,Soldier\r\n/m/099nfc,Lady Banks' rose \r\n/m/09_9n,Ski jumping\r\n/m/099p0c,Garden salad\r\n/m/099pj1,Hennessey viper venom 1000 twin turbo\r\n/m/099pqr,Salad niçoise\r\n/m/099r5_,Dodge polara\r\n/m/099rg3,Arizona Black tailed Prairie Dog\r\n/m/099ssp,Platter\r\n/m/099t47,Wushu\r\n/m/099tr_,Buick enclave\r\n/m/099twy,Ans synthesizer\r\n/m/099wqn,Audi r10 tdi\r\n/m/099xr,General atomics mq-1 predator\r\n/m/099zf,Northrop grumman rq-4 global hawk\r\n/m/09b173,Blissus leucopterus\r\n/m/09b1k,Walt disney world\r\n/m/09_b4,Freestyle skiing\r\n/m/09b5b,Fertilizer\r\n/m/09b5_s,Asian semi-longhair\r\n/m/09b5t,Chicken\r\n/m/09b732,Parkin\r\n/m/09b7ls,Shuai jiao\r\n/m/09b8tx,Plymouth gran fury\r\n/m/09bd_,Porsche 914\r\n/m/09bgd2,Leucaena\r\n/m/09bgkl,Outlet store\r\n/m/09bjpm,Smack\r\n/m/09bjv3,Porsche 356/1\r\n/m/09bkb,Solvent\r\n/m/09_bl,Short track speed skating\r\n/m/09bm6,Aai rq-7 shadow\r\n/m/09bt6l,Sicklepod\r\n/m/09btpv,Nutrition facts label\r\n/m/09bvdf,Bridal veil\r\n/m/09by2v,Toyota mark x\r\n/m/09c02k,Binalot\r\n/m/09c2rm,Nissan nx\r\n/m/09c4c1,Cutting tool\r\n/m/09c4j9,Beechcraft model 99\r\n/m/09c5_,Tornado\r\n/m/09cc0q,Biscuits and gravy\r\n/m/09cjl,Airport\r\n/m/09clx2,Fried noodles\r\n/m/09cl_z,Jeep patriot\r\n/m/09cmq,Museum\r\n/m/09cqt,Weasel\r\n/m/09crqz,Humita\r\n/m/09crtg,Sagebrush lizard\r\n/m/09csg_,Banded rock lizard\r\n/m/09csl,Eagle\r\n/m/09csvn,Core drill\r\n/m/09csy1,Alfa romeo alfetta\r\n/m/09ct_,Helicopter\r\n/m/09cvst,Scene\r\n/m/09cx8,Finger\r\n/m/09cynt,Convention\r\n/m/09d0fn,Pogonia\r\n/m/09d2n,Lava\r\n/m/09d3kz,Boreal Toad\r\n/m/09d3pz,Red spotted Toad\r\n/m/09d54j,Western Spadefoot\r\n/m/09d5l6,Pacific Treefrog\r\n/m/09d5_,Owl\r\n/m/09d5xy,California red legged frog\r\n/m/09d775,Ryan navion\r\n/m/09dd22,Cricket helmet\r\n/m/09ddf,Symbol\r\n/m/09ddx,Duck\r\n/m/09dfr,Disabled sports\r\n/m/09dg5,Gaelic football\r\n/m/09dh0,Seed\r\n/m/09dhj,Family\r\n/m/09dj50,English lavender\r\n/m/09dkj,Flare\r\n/m/09dkqy,Rudra veena\r\n/m/09dm2y,Catch wrestling\r\n/m/09dpds,Shave brush\r\n/m/09d_r,Mountain\r\n/m/09drxk,Arborio rice\r\n/m/09dsd,Blancmange\r\n/m/09dt82,Negimaki\r\n/m/09dv7,Soil\r\n/m/09dvst,Curanto\r\n/m/09dw4,Mead\r\n/m/09dx1f8,Lcd tv\r\n/m/09dxr0,Embutido\r\n/m/09dzg,Turtle\r\n/m/09f_0z,Jalapeño popper\r\n/m/09f20,Hippopotamus\r\n/m/09f_2,Crocodile\r\n/m/09f4n0,Chinese peony\r\n/m/09f4zy,Fried cauliflower\r\n/m/09f6b,Luge\r\n/m/09f_75,Letter opener\r\n/m/09f96,Mosquito\r\n/m/09ffyz,Ssc aero\r\n/m/09fkjm,Klippe\r\n/m/09fmx9,Omurice\r\n/m/09fppk,Papri chaat\r\n/m/09fpwv,Daihatsu hijet\r\n/m/09fsk_,Araneus\r\n/m/09ftcw,Oral irrigator\r\n/m/09fwz6,Lap\r\n/m/09fy6b,Chrysler pronto cruizer\r\n/m/09g1lf,Moringa\r\n/m/09g1w,Toilet\r\n/m/09g1yy,Rigid airship\r\n/m/09g33,Valerian\r\n/m/09_g5d,Daimler 250\r\n/m/09g5h,Spacecraft\r\n/m/09g5pq,People\r\n/m/09g5yp,Chenda\r\n/m/09g64h,Yellow sweet clover\r\n/m/09g6ctn,Nasi liwet\r\n/m/09g6pvd,Den\r\n/m/09g712t,Television antenna\r\n/m/09g7533,Poinsettia\r\n/m/09g7js,Moo shu pork\r\n/m/09g7kg,Moo goo gai pan\r\n/m/09g7kt,Lemon chicken\r\n/m/09g7lh,Corn crab soup\r\n/m/09g7mxg,Mandazi\r\n/m/09g7t_w,Fabes con almejas\r\n/m/09g7vwh,Thunder snake\r\n/m/09g8706,Anelli\r\n/m/09g8l2,Austin 16 hp\r\n/m/09g8vd8,Advent candle\r\n/m/09g937k,Cider doughnut\r\n/m/09g93x8,Ribbon candy\r\n/m/09g94z3,Korean taco\r\n/m/09g962v,Bombolone\r\n/m/09g9c4x,Ketoprak jakarta\r\n/m/09g9qz9,Lasagnette\r\n/m/09gb8by,Taglierini\r\n/m/09gbsyp,Large-flowered evening primrose \r\n/m/09gcj8x,Pinky vodka\r\n/m/09gcqj6,Ciambotta\r\n/m/09gd8,Black hawk\r\n/m/09gdlyk,Bavette\r\n/m/09gf5n6,Chevrolet 400\r\n/m/09gfx2r,Tekwan\r\n/m/09gfzr0,Palmier\r\n/m/09gg3,Violet\r\n/m/09ggk,Purple\r\n/m/09gh3tk,Lophocampa maculata\r\n/m/09ghlb,Gulfstream g100\r\n/m/09ghxs3,Mafalde\r\n/m/09ghy3c,Rawon\r\n/m/09gj2n,Renault wind\r\n/m/09gj2sy,Kue keranjang\r\n/m/09gj5qk,Taus\r\n/m/09gjd,Newcastle brown ale\r\n/m/09gjh6,Audi nuvolari quattro\r\n/m/09gk3_0,Stylus\r\n/m/09gk6z1,Clover club cocktail\r\n/m/09gkmwd,Garden gnome\r\n/m/09gkw_4,Amaretti di saronno\r\n/m/09gkyh0,Fagottini\r\n/m/09gl6_0,Ring toss\r\n/m/09gl_ff,Kleina\r\n/m/09gmfg6,Hennessey venom gt\r\n/m/09gms,Ramen\r\n/m/09gnkf1,Cattleya rex\r\n/m/09gnlnb,Crotal bell\r\n/m/09gn_mr,Cutleaf evening primrose\r\n/m/09gnn8n,Aromatic aster\r\n/m/09gnq8,Home fries\r\n/m/09gnvj9,Wheelchair football\n/m/09gnxt,Pastille\r\n/m/09gnyqn,Knockout punch\r\n/m/09gp70t,Tramezzino\r\n/m/09gpkl7,Ciambella\r\n/m/09gpl,Millet\r\n/m/09gpqg7,Scialatelli\r\n/m/09gpqv1,Flamiche\r\n/m/09gq44,Frown\r\n/m/09gq6gr,Tortita negra\r\n/m/09gq85f,Mezzelune\r\n/m/09gqg6c,Casoncelli\r\n/m/09gr15,Cabbage soup diet\r\n/m/09gs1x,Clam cake\r\n/m/09gtd,Toilet paper\r\n/m/09gtx,Barley\r\n/m/09gwx,Boeing ch-47 chinook\r\n/m/09gxx,Bell uh-1 iroquois\r\n/m/09gys,Squid\r\n/m/09h20b,Rafeiro do alentejo\r\n/m/09h3s2,Porsche 908\r\n/m/09h901,Shidokan\r\n/m/09h9k9,Aftershave\r\n/m/09hcdm,Purée\r\n/m/09hfzz,Leptoceratops\r\n/m/09hgmq,Hutspot\r\n/m/09hkc,Bicycle motocross\r\n/m/09hl7m,Dolly\r\n/m/09hlfz,Helicopter rotor\r\n/m/09hljw,Tribal chief\r\n/m/09hp9v,Volkswagen w12\r\n/m/09hqy,Seal\r\n/m/09hr5z,Jiaogulan\r\n/m/09hrxl,Sarma\r\n/m/09hs60,Chankonabe\r\n/m/09_hsh,Cuju\r\n/m/09hyjm,Underwater football\n/m/09hyx,Lingerie\r\n/m/09j06,Hot air balloon\r\n/m/09j1x,Undergarment\r\n/m/09j2d,Clothing\r\n/m/09_j3b,Cruiseferry\r\n/m/09j5n,Footwear\r\n/m/09j655,Janggu\r\n/m/09j9h,Engineer\r\n/m/09jb25,Rinspeed zazen\r\n/m/09jc2n,Back\r\n/m/09jdg9,Latex clothing\r\n/m/09jfs,Uniform\r\n/m/09jjnb,Paper drilling\r\n/m/09jn3j,Coucal\r\n/m/09jn47,Curry puff\r\n/m/09jpb7,Shahe fen\r\n/m/09jqw6,Tambora\r\n/m/09jwl,Musician\r\n/m/09jxndq,Cab driver\r\n/m/09jy30,Rice noodles\r\n/m/09k1z2,Mercury meteor\r\n/m/09k4y6_,Siberian fawn lily\r\n/m/09k5ghf,Three-cushion billiards\r\n/m/09k5z,Cigar\r\n/m/09k6_2q,Paloma\r\n/m/09k6420,Hot buttered rum\r\n/m/09k65nd,Bay pipefish\r\n/m/09k6x46,Okra peji\r\n/m/09k76,Cigarette\r\n/m/09k7dhb,Alaea salt\r\n/m/09k7m2p,Mukkuri\r\n/m/09k_b,Lemon\r\n/m/09kc5m,Rambler american\r\n/m/09kchq,Jelly shoes\r\n/m/09kd37,Dap\r\n/m/09khbc,Feuerzangenbowle\r\n/m/09kjlm,Sneakers\r\n/m/09kjpq,Underwater diving\r\n/m/09kk7w2,Smirnoff ice double black\r\n/m/09kkkg,Istrian coarse-haired hound\r\n/m/09kmb,Spider\r\n/m/09kmnt,Fish head curry\r\n/m/09kmv,Natural rubber\r\n/m/09kn0y,Fiat 4 hp\r\n/m/09kpdy,Masonry oven\r\n/m/09kqc,Humour\r\n/m/09kqv9,Oyster pail\r\n/m/09kv6y,Cheese spread\r\n/m/09kvv1,Braconidae\r\n/m/09kx5,Deer\r\n/m/09kxp,Wool\r\n/m/09l0j_,Ring\r\n/m/09l1w6,Lng carrier\r\n/m/09l35,Space shuttle\r\n/m/09l63h,Military camouflage\r\n/m/09l65,Singer\r\n/m/09l6ys,Loroco\r\n/m/09l7rx,Mauby\r\n/m/09l9f,Carnival\r\n/m/09l9g9,Lincoln mark series\r\n/m/09lbv,Drummer\r\n/m/09ld4,Frog\r\n/m/09ldn,Toad\r\n/m/09l_gj,Roasted grain beverage\r\n/m/09lkg2,Fiat zero\r\n/m/09llx,Yorkshire pudding\r\n/m/09llzg,Seolleongtang\r\n/m/09lmc5,Leipziger allerlei\r\n/m/09lnn,Nutmeg\r\n/m/09lnsq,Cuisine of odisha\r\n/m/09lrbv,Gołąbki\r\n/m/09ltdb,Szaloncukor\r\n/m/09m6nf,Motif\r\n/m/09m9hf,Jensen cv8\r\n/m/09mbmq,Suzuki twin\r\n/m/09md3t,Eastern box turtle\r\n/m/09mhht,Prosopis pubescens\r\n/m/09mhk5,Parsi cuisine\r\n/m/09mmtx,Crop\r\n/m/09mp53,Pork steak\r\n/m/09_mxk,Pomegranate juice\r\n/m/09mxpm,Mg p-type midget\r\n/m/09mz62,Jūkendō\r\n/m/09n1hz,Khanqah\r\n/m/09n2nl,Cadillac de ville series\r\n/m/09n2wj,Black velvet\r\n/m/09n5xs,Trijet\r\n/m/09n60k,Twinjet\r\n/m/09ndqj,Chevrolet tavera\r\n/m/09ndr6,Isuzu panther\r\n/m/09ngsw,Ice scraper\r\n/m/09nm_,World\r\n/m/09nn_9,Pulihora\r\n/m/09npm4,River island\r\n/m/09np_,Psychiatric hospital\r\n/m/09nxzp,Ballet shoe\r\n/m/09ny8f,Times square ball\r\n/m/09nyy,Juggling\r\n/m/09nzgt,Indian cobra\r\n/m/09p1_h,Lincoln mkx\r\n/m/09p3jz,Curb\r\n/m/09p5m,Hunting\r\n/m/09p6gr,Folk wrestling\r\n/m/09p7m,Galanthus\r\n/m/09ph7l,Korean chinese cuisine\r\n/m/09pj6n,Toyota revo\r\n/m/09pnz,Lever\r\n/m/09psh,Flax\r\n/m/09_pt2,Dal bhat\r\n/m/09ptbf,Purshia\r\n/m/09ptb,Greyhound racing\r\n/m/09pwh,Panettone\r\n/m/09q0x0,Taho\r\n/m/09q2t,Brown\r\n/m/09q2v4,Eumenidae\r\n/m/09q5jn,Anhui cuisine\r\n/m/09q6n_,Bredele\r\n/m/09q84z,Italian dressing\r\n/m/09qck,Banana\r\n/m/09qd1,Wedding reception\r\n/m/09qdd,Cooking plantain\r\n/m/09qf5,Winter sport\r\n/m/09qfcy,Birch sap\r\n/m/09qfq2,Sledge hockey\r\n/m/09qgm,Snowboarding\r\n/m/09qhbh,Sintir\r\n/m/09qhk,Aqueduct\r\n/m/09qj4b,Chrysler newport\r\n/m/09qkx,Boardsport\r\n/m/09ql8,Waterskiing\r\n/m/09qqq,Wall\r\n/m/09qv0l,Fiat 508\r\n/m/09qw8,Bamboo\r\n/m/09r5p,Sifaka\r\n/m/09rbjm,Chrysler valiant charger\r\n/m/09rc71,Dollu kunitha\r\n/m/09rf8m,Iris versicolor\r\n/m/09rgp,Road bicycle\r\n/m/09rgqc,Intercrosse\r\n/m/09rgrw,Ancient dog breeds\r\n/m/09_rjv,Moskvitch 400-420\r\n/m/09rll6,Lungo\r\n/m/09rm9k,Yellow toadflax\r\n/m/09rnvg,Myachi\r\n/m/09rp2r,Eleutherodactylus\r\n/m/09rsn1,Siberian elm\r\n/m/09rspx9,Bossche bol\r\n/m/09_rtk,Water tank\r\n/m/09rv67s,Ford escort\r\n/m/09rv68q,Lace wig\r\n/m/09rvcxw,Rocket\r\n/m/09rvk8h,Ambuyat\r\n/m/09rvlp4,Ipad\r\n/m/09rvrql,Water volleyball\r\n/m/09rwv9,Soft Serve Ice Creams\r\n/m/09rx5,Racquetball\r\n/m/09rxmr,Construction paper\r\n/m/09s1f,Business\r\n/m/09s3w,Bangers and mash\r\n/m/09_s6_,Moskvitch 410\r\n/m/09s8m7,Porsche 907\r\n/m/09sc7k,Hokey pokey\r\n/m/09sd35,Bicycle mechanic\r\n/m/09sdbh,Luxury yacht\r\n/m/09_sdx,Moskvitch 408\r\n/m/09sglw,Mee pok\r\n/m/09sjbt,Porsche 910\r\n/m/09skmb,Swan boat\r\n/m/09sng,Hide-and-seek\r\n/m/09_snv,Moskvitch 412\r\n/m/09spj9,Layered hair\r\n/m/09spl0,Jjigae\r\n/m/09srw,Compass\r\n/m/09ssq9,Kangling\r\n/m/09swcp,Household silver\r\n/m/09swwf,Tea set\r\n/m/09sy4,Tequila\r\n/m/09t19,Engagement ring\r\n/m/09t3w,Engagement\r\n/m/09t49,Leaf\r\n/m/09t4p3,Lincoln mks\r\n/m/09t4t,Manufacturing\r\n/m/09t57,Pine\r\n/m/09t6bd,Armstrong siddeley sapphire\r\n/m/09t6yz,Mukhwas\r\n/m/09t7ln,Turkish Gecko\r\n/m/09t9nt,Pakhavaj\r\n/m/09tj9h,Tteok\r\n/m/09tl3w,Tomato soup\r\n/m/09tls_,Nissan r'nessa\r\n/m/09tnn6,Suzuki xl7\r\n/m/09tr7k,Nissan caravan\r\n/m/09tth4,Biskotso\r\n/m/09tvcd,Wine glass\r\n/m/09twl_,Aston martin rapide\r\n/m/09tx1g,Ajaeng\r\n/m/09tyrb,Bowling pin\r\n/m/09v1cn,Ratonero bodeguero andaluz\r\n/m/09v1gqs,Chinese celery\r\n/m/09v1hv,Eastern diamondback rattlesnake\r\n/m/09v2fwy,Biscuit rose de reims\r\n/m/09v2x7p,Neurologist\r\n/m/09v2ztm,Wrap\r\n/m/09v3jy1,Japanese anemone\r\n/m/09v3l_s,Folding table\r\n/m/09v3pl5,Biscotti regina\r\n/m/09v3zmt,Lemon liqueur\r\n/m/09v46d,Lolly cake\r\n/m/09v4jv5,Nut driver\r\n/m/09v4y3x,Chicken paprikash\r\n/m/09v60jx,Himmel und erde\r\n/m/09v6kpg,Minecraft\r\n/m/09v7bnz,Kick energy\r\n/m/09v7rsq,Liver\r\n/m/09v871d,Biscuit\n/m/09v8gp7,Bagoong\r\n/m/09v8h83,Marine radar\r\n/m/09v8rjr,Chile de árbol\r\n/m/09v8wsm,Mitsubishi i miev\r\n/m/09v9ln,Tandoori masala\r\n/m/09vbsy,Tangyuan\r\n/m/09vg7s,Sweet pea\r\n/m/09vh0m,Payment card\r\n/m/09vkn3,Crêpe suzette\r\n/m/09vl64,Bicycle trailer\r\n/m/09w1n,Alpine skiing\r\n/m/09w24,Ice dancing\r\n/m/09w4_2,Khoa\r\n/m/09w5r,Human leg\r\n/m/09w7g5,True toad\r\n/m/09w883,Whaler\r\n/m/09w9qp,Pipe\r\n/m/09wdrl,Extradosed bridge\r\n/m/09wqz7,Christmas dinner\r\n/m/09wr_,Synclavier\r\n/m/09wsz,Eleusine coracana\r\n/m/09wws,Banksia\r\n/m/09wwy1,Bull and terrier\r\n/m/09wx7,Figure skating jumps\r\n/m/09wxp,Figure skating spins\r\n/m/09wygs,Mustelinae\r\n/m/09wz9,Bobsleigh\r\n/m/09wzfj,California roll\r\n/m/09wzt,Oak\r\n/m/09x0r,Speech\r\n/m/09_x1g,Shimada\r\n/m/09x374,Boiled egg\r\n/m/09x3lm,Junction\r\n/m/09x8z,Stomach\r\n/m/09x984,Puddle\r\n/m/09x9g,Marching band\r\n/m/09xbm8,Book cover\r\n/m/09xc3,Sousaphone\r\n/m/09xf66,Cao lầu\r\n/m/09xfgp,Nash 600\r\n/m/09xgsq,Oxcart\r\n/m/09xp_,Cricket\r\n/m/09xqv,Cricket\r\n/m/09xsd1,Laundry ball\r\n/m/09xss5,Zarangollo\r\n/m/09xy63,Monkey brains\n/m/09xy9,Roman villa\r\n/m/09xysh,Uttapam\r\n/m/09y0s0,Orujo\r\n/m/09y2k2,Italian food\r\n/m/09y4pm,Market\r\n/m/09y4sj,Plum tomato\r\n/m/09y71y,Nameplate\r\n/m/09y8b1,Tata tl\r\n/m/09y8cg,Austin 3-litre\r\n/m/09ydzr,Breda ba.88\r\n/m/09yh5p,Tidy tips\r\n/m/09yhzf,African leopard\r\n/m/09yjj4,Tursu\r\n/m/09yjm8,Sicilian pizza\r\n/m/09ymtd,Freestyle football\r\n/m/09ynbl,Cecina\r\n/m/09yrhm,Chelsea boot\r\n/m/09ysm1,Siu mei\r\n/m/09ytk_,Kia elan\r\n/m/09yv9b,Skipjack\r\n/m/09yvng,Lockheed l-100 hercules\r\n/m/09yw48,Ankimo\r\n/m/09z03k,Jaguar xjr-9\r\n/m/09z1ww,Circuit training\r\n/m/09z27p,Italian sausage\r\n/m/09z29w,Molosser\r\n/m/09z6g1,Aston martin db7 zagato\r\n/m/09z7n0,Confluence\r\n/m/09z9b5,Rouladen\r\n/m/09zf31,Jeep cherokee\r\n/m/09zf3d,Jeep cherokee (xj)\r\n/m/09zg4c,Haegeum\r\n/m/09zhhp,Buk\r\n/m/09zzb8,Makeup artist\r\n/m/09zzf2,Cha siu bao\r\n/m/0b03ql,Canopy\r\n/m/0b0d0p,Wedge\r\n/m/0b0fq,Photomontage\r\n/m/0b0gnw,Escabeche\r\n/m/0b0h4v,Sycamore fig\r\n/m/0b0lbv,Backlighting\r\n/m/0b0mt7,Fiat 132/argenta\r\n/m/0b0myd,Radio-controlled boat\r\n/m/0b0pqq,Ascalapha odorata\r\n/m/0b0t3w,Gudgeon pin\r\n/m/0b0_vj,Fso syrena sport\r\n/m/0b0y41,Poached egg\r\n/m/0b0yt1,Caucasian shepherd dog\r\n/m/0b1_0f,Freeze (b-boying)\r\n/m/0b1_4m,Bmw 600\r\n/m/0b152y,Mononykus\r\n/m/0b1_61,Rolls-royce silver spirit\r\n/m/0b1dr2,Pacific sturgeon\r\n/m/0b1k6b,Mg j-type\r\n/m/0b1l1,Magnolia family\r\n/m/0b1lk,Cannoli\r\n/m/0b1lz,Magnolia\r\n/m/0b1my,Rhododendron\r\n/m/0b_1n1,Giant seabass\r\n/m/0b1_s8,Bmw 700\r\n/m/0b1whn,Hole saw\r\n/m/0b1y1g,Bentley mark vi\r\n/m/0b1y2v,Bentley r type\r\n/m/0b1y47,Bentley s2\r\n/m/0b1y4l,Bentley s3\r\n/m/0b1y5z,Bentley turbo r\r\n/m/0b1y6n,Bentley turbo rt\r\n/m/0b1z6p,Power move\r\n/m/0b2008,Rolls-royce silver wraith\r\n/m/0b200z,Rolls-royce phantom iv\r\n/m/0b201n,Rolls-royce phantom v\r\n/m/0b202b,Rolls-royce phantom vi\r\n/m/0b209p,Rolls-royce corniche\r\n/m/0b217k,Chicken feet\r\n/m/0b23px,Hand sanitizer\r\n/m/0b24bb,Tacacá\r\n/m/0b25v,License\r\n/m/0b261_,Rolls-royce phantom i\r\n/m/0b2653,Rolls-royce phantom ii\r\n/m/0b268x,Rolls-royce phantom iii\r\n/m/0b26w3,Schnoodle\r\n/m/0b27_9,Bentley 4½ litre\r\n/m/0b27yy,Bentley 3 litre\r\n/m/0b280q,Bentley speed six\r\n/m/0b2823,Bentley 4 litre\r\n/m/0b284b,Bentley 3.5 litre\r\n/m/0b284p,Bentley mark v\r\n/m/0b2861,Bentley 8 litre\r\n/m/0b29js,Jabuticaba\r\n/m/0b2br_,Chaat masala\r\n/m/0b2c_,Pilgrims\r\n/m/0b2d8l,Ho hos\r\n/m/0b2h7k,Bentley azure\r\n/m/0b2hk8,Bánh xèo\r\n/m/0b2mw2,Confiture de lait\r\n/m/0b2r0,Pigeon pea\r\n/m/0b2rk2,Studebaker electric\r\n/m/0b2yvq,Mitsubishi grandis\r\n/m/0b37gd,Rock pocket mouse\r\n/m/0b383t,Maqluba\r\n/m/0b38c3,Melkus rs 1000\r\n/m/0b39sn,Cecropia Moth\r\n/m/0b3brj,Flying frog\r\n/m/0b3dqw,Agati\r\n/m/0b3dyl,Finger food\r\n/m/0b3fp9,Countertop\r\n/m/0b3lj,Pistachio\r\n/m/0b3nbq,Vacuum bag\r\n/m/0b3nwr,Wood glue\r\n/m/0b3q36,Cavachon\r\n/m/0b3qxj,Achaar\r\n/m/0b3s8y,Czechoslovakian wolfdog\r\n/m/0b3sh,Oscilloscope\r\n/m/0b3tn9,Rum baba\r\n/m/0b3vq,Network switch\r\n/m/0b3yr,Beach\r\n/m/0b400y,Datura inoxia\r\n/m/0b42l9,Indoor games and sports\r\n/m/0b44zl,Army men\r\n/m/0b45bh,Honzen-ryōri\r\n/m/0b45fc,Komatsuna\r\n/m/0b46c,American Goldfinch\r\n/m/0b48hv,Rainbow\r\n/m/0b49p4,Buzuq\r\n/m/0b4cdw,Gaz-61\r\n/m/0b4_ct,Butterbrot\r\n/m/0b4d14,Gaz-53\r\n/m/0b4g6m,Jalfrezi\r\n/m/0b4jwy,Artillery tractor\r\n/m/0b4kx6,Honda airwave\r\n/m/0b4r85,Lamborghini 400gt\r\n/m/0b4rl8,Fried prawn\r\n/m/0b4_rz,Championship\r\n/m/0b4zhm,Nectar\r\n/m/0b57fy,Takuan\r\n/m/0b5bxt,Nước chấm\r\n/m/0b5gs,Branch\r\n/m/0b5lyy,Low water crossing\r\n/m/0b5p11,Nash ambassador\r\n/m/0b5ppz,Yard globe\r\n/m/0b5q59,Pastilla\r\n/m/0b5xzn,Pontiac chieftain\r\n/m/0b5y8f,Pontiac executive\r\n/m/0b60dw,Chevrolet nomad\r\n/m/0b68kkj,Hardcore ipa\r\n/m/0b68kkq,Punk ipa\r\n/m/0b693,Collision\r\n/m/0b69hk,Crowdie\r\n/m/0b6c67,German pinscher\r\n/m/0b6czk1,Elleanthus\r\n/m/0b6d2ff,Amerorchis\r\n/m/0b6d_9s,Calochilus\r\n/m/0b6dj9,Lagonda 3-litre\r\n/m/0b6dq5d,Dimerandra\r\n/m/0b6fq40,Hornado\r\n/m/0b6fvg4,Colada morada\r\n/m/0b_6gk,Vintage base ball\r\n/m/0b6gqzh,Capanemia\r\n/m/0b6h08_,Cuitlauzina\r\n/m/0b6h2fq,Fritada\r\n/m/0b6h63d,Bipinnula\r\n/m/0b6h830,Bollea\r\n/m/0b6hrw0,Cheirostylis\r\n/m/0b6j_h,Fiat scudo\r\n/m/0b6jhq5,Plains Gartersnake\r\n/m/0b6jkp3,Cyanicula\r\n/m/0b6jshs,Cyclopogon\r\n/m/0b6jz29,Cynorkis\r\n/m/0b6kd4t,Lamb's fry\r\n/m/0b6kmgp,Dossinia\r\n/m/0b6kqwj,Chloraea\r\n/m/0b6lsjd,Brachystele\r\n/m/0b6lssj,Silver fox\r\n/m/0b6m1sh,Opor ayam\r\n/m/0b6m8y9,Chondrorhyncha\r\n/m/0b6mck,Sandbagger sloop\r\n/m/0b6mdjj,Arpophyllum\r\n/m/0b6mtjl,Chamorchis\r\n/m/0b6mv_m,Cape flower\r\n/m/0b6nt0y,Corysanthes\r\n/m/0b6nt1m,Erycina (orchid)\r\n/m/0b6nzpz,Bebb's willow\r\n/m/0b6p0qb,New amsterdam gin\r\n/m/0b6p1_4,Cranichis\r\n/m/0b6p41s,Barlia\r\n/m/0b6pc91,Surfboard fin\r\n/m/0b6pxd,Pontiac grand ville\r\n/m/0b6w2z,Buttercream\r\n/m/0b6w8t,Volkswagen iltis\r\n/m/0b71bx,Calanus\r\n/m/0b73d9,Chrysobalanaceae\r\n/m/0b7479l,Shrubby camphorweed\r\n/m/0b74j_j,Octavina\r\n/m/0b74tkh,Russula integra\r\n/m/0b752wp,Erynnis funeralis\r\n/m/0b75kx3,Titanium aluminium nitride\r\n/m/0b75wg4,Photo caption\r\n/m/0b75y0,Dodge custom 880\r\n/m/0b760rr,Snowboard halfpipe\r\n/m/0b76c3j,Aricia icaroides\r\n/m/0b76y0,Food craving\r\n/m/0b77kz3,Padang food\r\n/m/0b77zl3,Great Southern White\r\n/m/0b7b55p,Sculptor\r\n/m/0b7htk,Erythroxylaceae\r\n/m/0b7mpl,Muktuk\r\n/m/0b7nf8,Dodge 50 series\r\n/m/0b7nhc,Vine snake\r\n/m/0b7pvt,Color guard (flag spinning)\r\n/m/0b7v48,Lyre snake\r\n/m/0b7z1,Drop\r\n/m/0b825k,Ford model aa\r\n/m/0b8639,Đàn tranh\r\n/m/0b86gc,Lillet\r\n/m/0b870m,Electric knife\r\n/m/0b897t,Alfa romeo 2600\r\n/m/0b89dn,Alfa romeo 1750 berlina\r\n/m/0b8gt4,Beaked Toad\r\n/m/0b8kw6,Amala\r\n/m/0b8r64,Gratin\r\n/m/0b8s_4,Moccasin\r\n/m/0b8xjk,Coupe utility\r\n/m/0b90nr,Kibbeh nayyeh\r\n/m/0b93n8,Chocolote cosmos\r\n/m/0b9_40,Audi shooting brake\r\n/m/0b960h,Okinawa soba\r\n/m/0b9_75,Soki\r\n/m/0b97cn,Lamian\r\n/m/0b986x,Sound level meter\r\n/m/0b9c0,Gel\r\n/m/0b9c2px,Casimiroa\r\n/m/0b9cmm,Plasterer\r\n/m/0b9d84,Horned viper\r\n/m/0b9ff2,Egg barley\r\n/m/0b9fzh,Saturn relay\r\n/m/0b9gnr,Zumba\r\n/m/0b9jyp,Racer\r\n/m/0b9k6q,Ribs\r\n/m/0b9qm2,Soccer kick\r\n/m/0b9rdx,Maslenitsa\r\n/m/0b9s90,Kishka\r\n/m/0b9tgsh,Fritillaria\r\n/m/0b9tq5r,Macrochelys\r\n/m/0b9zx9,Mazda cx-9\r\n/m/0bb154,110 metres hurdles\r\n/m/0bbbgt,Sash window\r\n/m/0bbd4m,Drag boat racing\r\n/m/0bbd9t,Egg sandwich\r\n/m/0bbdwx,Audi roadjet\r\n/m/0bbfjb,Lincoln mkz\r\n/m/0bbj78,Pequi\r\n/m/0bbmf_,Puppy chow\r\n/m/0bbmgb,Airport apron\r\n/m/0bbpf3,San Joaquin Coachwhip\r\n/m/0bbsy8,Yeung chow fried rice\r\n/m/0bbtn7c,Bench\r\n/m/0bbtpgn,Titanium ring\r\n/m/0bbv6fb,Mole sauce\r\n/m/0bbw94t,Giant goldenrod\r\n/m/0bbx1p,Fried aubergine\r\n/m/0bbx1tk,Cocadas\r\n/m/0bbxq8q,Ball hockey\r\n/m/0bby24z,Moustache\r\n/m/0bbzj3n,Porsche 918\r\n/m/0bbzjby,Common alexanders\r\n/m/0bbzk4v,Bmw 3 series (f30)\r\n/m/0bbzvvf,Laelia crispa\r\n/m/0bbzy27,Equalizer\r\n/m/0bc16m,Chicken balls\r\n/m/0bc4p4,North American spadefoot\r\n/m/0bc74n,Californian white oak\r\n/m/0bc8j0,Lorquin's Admiral\r\n/m/0bc95d,Gopher tortoise\r\n/m/0b_c9_,Packard four hundred\r\n/m/0bcc3z,Amatriciana sauce\r\n/m/0bccc4,Guanciale\r\n/m/0bcgbd,Little red flying fox\r\n/m/0bcgj0,Ten-ball\r\n/m/0bcl4q,Dress shoe\r\n/m/0bcl7z,Volkswagen sp2\r\n/m/0bcn9w,Baton twirling\r\n/m/0bcq_3,Giardiniera\r\n/m/0bcrxp,Tlayuda\r\n/m/0bcz5l,Unni appam\r\n/m/0bczwb,Rack\r\n/m/0b_d05,Packard cavalier\n/m/0bd3t5,Ferrari 288 gto\r\n/m/0bd73f,Chevrolet kodiak\r\n/m/0bd7td,Bouleuterion\r\n/m/0bdbpn,Obedience trial\r\n/m/0bdcn,Cod\r\n/m/0bdd3,Anglerfish\r\n/m/0bddyn,Jollof rice\r\n/m/0bdf27,Moin moin\r\n/m/0bdvzq,Lusheng\r\n/m/0bf38f,Wildmint\r\n/m/0bf5hy,Cleaver\r\n/m/0bfd7m,Toyota aurion\r\n/m/0b_fd,Sense\r\n/m/0bf_g3,Bacon and egg pie\r\n/m/0bfjrs,Bristol 400\r\n/m/0bfk1x,Red yeast rice\r\n/m/0bfmhf,Eid prayers\r\n/m/0bftj4,Ice cream bar\r\n/m/0b_fwt,Electronic tuner\r\n/m/0bfy5q,Lint remover\r\n/m/0bfyk8,Limnophila aromatica\r\n/m/0bg0t,Schematic\r\n/m/0bg1f1,Pontiac g5\r\n/m/0bg2p,Security\r\n/m/0bg3kk,Chevrolet ss\r\n/m/0bg4ww,Mitsubishi zinger\r\n/m/0bg7b,Shield\r\n/m/0bgbgf,Saw sam sai\r\n/m/0bgft7p,Goat milk\n/m/0bglk7,Zuppa inglese\r\n/m/0bgmt1,Child model\r\n/m/0bg_nc,Jam roly-poly\r\n/m/0bgt3r,Lincoln cosmopolitan\r\n/m/0bgvcb,Weeder\r\n/m/0bg_x1,Worried\r\n/m/0bgyd8,Hulusi\r\n/m/0bgz_6,Gratin dauphinois\n/m/0bh01j,Morris cowley\r\n/m/0bh_1q,Eastern woodrat\r\n/m/0bh2pb,Henry j\r\n/m/0bh41s,Feist\r\n/m/0bh574,Đàn nhị\r\n/m/0bh59y,Lincoln custom\r\n/m/0bh6t6c,Rescuer\r\n/m/0bh7np8,West African cuisine\r\n/m/0bh82pz,Water smartweed\r\n/m/0bh8hyx,Bed skirt\r\n/m/0bh8k2g,Tambouras\r\n/m/0bh8mlz,Alsophila pometaria\r\n/m/0bh_8m,Maserati boomerang\r\n/m/0bh8wvq,Iris japonica\r\n/m/0bh99y_,Electric bicycle\r\n/m/0bh9flk,Tablet computer\r\n/m/0bh9nt6,Pholisora catullus\r\n/m/0bh9q8s,Delicacy\r\n/m/0bh9xgb,Iso rivolta ir 300\r\n/m/0bhb04,Pecel\r\n/m/0bhb1h8,Money bag\r\n/m/0bhbtb5,Medicine chest\r\n/m/0bhc9zt,Maniola\r\n/m/0bhcrf,Ngo hiang\r\n/m/0bhcs3,Jello salad\r\n/m/0bhfcw,Chwee kueh\r\n/m/0bhgp_,Lincoln capri\r\n/m/0bhj7w,Claypot chicken rice\r\n/m/0b_hjw,Yamaha p-120\r\n/m/0bhl4z,Pannekoek\r\n/m/0bhmh,Telephony\r\n/m/0bhn86,Siopao\r\n/m/0bhnm,Uninterruptible power supply\r\n/m/0bht5d,White sweet clover\r\n/m/0bhtpc,Maeuntang\r\n/m/0bhv65,Morris eight\r\n/m/0b_hy9,Subway\r\n/m/0bj6r,System\r\n/m/0bj_6t,Handymax\r\n/m/0bjdsn,Rhubarb pie\r\n/m/0bjfsl,Honda life\r\n/m/0b_jlh,Dotara\r\n/m/0bjmpj,Tvr griffith\r\n/m/0bjpvy,Petit gâteau\r\n/m/0bjpyp,Lotus mark vi\r\n/m/0bjqx4,Fitness and figure competition\r\n/m/0bjr67,Buick velite\r\n/m/0bjrtp,Cirneco dell'etna\r\n/m/0bjryw,Felty germander\r\n/m/0bjyj5,Waste container\r\n/m/0bk3m1,Dental assistant\r\n/m/0bk5m9,Bus driver\r\n/m/0bk6_k,Citroën fukang\n/m/0bk6qg,Citroën c-triomphe\r\n/m/0bk976,Smart roadster\r\n/m/0bkbh8,Queen\r\n/m/0bkfkz,Sweet cicely\r\n/m/0bkhy0,Indian chinese cuisine\r\n/m/0bkj9_,Triumph tr3\r\n/m/0bkjfh,Triumph tr2\r\n/m/0bkll,Spanish fish\r\n/m/0bkmqg,Dacia pick-up\r\n/m/0bknm3,Canarian wrinkly potatoes\r\n/m/0bkqqh,Signage\r\n/m/0bkwyp,Wind controller\r\n/m/0bkxj,Server\r\n/m/0bk_y7,Bermuda shorts\r\n/m/0bkz2v,Marsh labrador tea\r\n/m/0bkzfr,Rosy maple moth\r\n/m/0bkzv8,Nissan leopard\r\n/m/0bl0l,Garden\r\n/m/0bl0pb,Canadian passport\r\n/m/0b_l7,Parasite\r\n/m/0blbtf,Springerle\r\n/m/0bldl1,Garlic knot\r\n/m/0bll2b,Shrimp toast\r\n/m/0bllpv,Puggle\r\n/m/0blmsy,Olla podrida\r\n/m/0blrmf,Saab aero-x\r\n/m/0blry,Calliope\r\n/m/0bls7l,Chiloglottis\r\n/m/0blvz,Buick\r\n/m/0blw4s,Huntaway\r\n/m/0blws,Hyundai\r\n/m/0blx4c,Chicken salad\r\n/m/0bly05,Housewarming party\r\n/m/0blz9,Fence\r\n/m/0blzr,Barbed wire\r\n/m/0bm02,Bass drum\r\n/m/0bm1pg,Hot dog stand\r\n/m/0bm8qyq,Thoroughfare\r\n/m/0bm9_0,Cadillac cts-v\r\n/m/0bm9sv0,Masai lion\r\n/m/0bmbqxs,Hojuela\r\n/m/0bmbtg,Budu\r\n/m/0bmc4wk,Palette\r\n/m/0bmc8vs,Tongue-and-groove pliers\r\n/m/0bmcrh5,Cover meter\r\n/m/0bmcwl,Custard cream\r\n/m/0bmcxm,Renault magnum\r\n/m/0bmd22,Sight glass\r\n/m/0bmd84,Fuel gauge\r\n/m/0bmds7,Mg c-type midget\r\n/m/0bmf3nz,Salty dog\r\n/m/0bmf50,Toyota fortuner\r\n/m/0bmg4jc,Sotalia\r\n/m/0bmgjqz,Sport venue\r\n/m/0bmhfn,Nord electro\r\n/m/0bmj3zs,Wheelchair fencing\r\n/m/0bmjtsc,Arroz con gandules\r\n/m/0bmjwcm,Cleaving axe\r\n/m/0bmjxs9,Nintendo 3ds\r\n/m/0bmkbb8,Hainan cuisine\r\n/m/0bmnm,Tin whistle\r\n/m/0bmr5v,Hourglass\r\n/m/0b_mvtv,Citroen cx break\r\n/m/0b_my,Petri dish\r\n/m/0bmz2,Cable\r\n/m/0bn3fm,Mg f-type magna\r\n/m/0bn3y5,San storm\r\n/m/0bn__6,Ruxton\r\n/m/0bn7bg,Cruciferous vegetables\r\n/m/0b_nd,Massage\r\n/m/0bnh_t,Volkswagen taro\r\n/m/0bnmvc,Ford tourneo\r\n/m/0b_nmw,Packard patrician\r\n/m/0b__n__,Rugby short\r\n/m/0bnvcx,Karatalas\r\n/m/0bnvd7,Combai\r\n/m/0bnwtj,Equestrian helmet\r\n/m/0bp17jw,Trampolining--Equipment and supplies\r\n/m/0bp_2p,Gown\r\n/m/0bp_2vx,Still photographer\r\n/m/0bp37nz,Propeller-driven aircraft\r\n/m/0bp3f6m,Fried food\r\n/m/0bp3fv,Neottia nidus-avis\r\n/m/0bp3j53,Boats and boating--Equipment and supplies\r\n/m/0bp510f,Sailboat racing\r\n/m/0bp6j,Screen-printing\r\n/m/0bp7w,Printmaking\r\n/m/0bpb7w,Manjar blanco\r\n/m/0bpc7w,Bulbul tarang\r\n/m/0bpd70,Tvr 350se\r\n/m/0bpff7,Antique tool\r\n/m/0bpg71,Spyker c8\r\n/m/0bpgx,High school\r\n/m/0bphtc,Fruit gushers\r\n/m/0bpj1z1,Wheelchair sports\r\n/m/0bpk1t,Matra ms80\r\n/m/0bpklr5,Pickled foods\r\n/m/0bpl0y,Ford reflex\r\n/m/0bpm4bq,Bicycle racing\r\n/m/0bpn3c2,Skateboarding Equipment\r\n/m/0bpnjv,Nissan presage\r\n/m/0bpnmk0,Bicycles--Equipment and supplies\r\n/m/0bps4xh,Tennis Equipment\r\n/m/0bpwf6g,Football equipment\r\n/m/0bp_wy,Oil\r\n/m/0bpxlzj,Endurance sports\r\n/m/0bq064,Bakharwal dog\r\n/m/0bq1xh,Colt 45\r\n/m/0bq2r1,Indian spitz\r\n/m/0bq2ww,Dahi puri\r\n/m/0bq66hh,Surfing Equipment\r\n/m/0bq6r7,Rainbow smelt\r\n/m/0bqb_n,Hokkaido\r\n/m/0bqhkk,Hardy kiwi\r\n/m/0bqrp,Pendulum\r\n/m/0bqsk,Pulse\r\n/m/0bqsqf,Thermal bath\r\n/m/0bqtrv,Gear shaper\r\n/m/0bqvs,Guar\r\n/m/0bqw85,Mitsubishi space star\r\n/m/0bqwj,Cephalopod\r\n/m/0bqwqs,Japanese whisky\r\n/m/0bqzm_,Hybrid tea rose\r\n/m/0br3xq,Ford s-max\r\n/m/0br6k5,Desoto fireflite\r\n/m/0br6lk,Desoto firesweep\r\n/m/0br6pp,Desoto firedome\r\n/m/0br7j6,Pleurotus eryngii\r\n/m/0brbbg,Lava plain\r\n/m/0brbp5,Desoto diplomat\r\n/m/0brcr_,Alfa romeo 105 series coupes\r\n/m/0brh6k,Yule log\r\n/m/0brl6,Cyclone\r\n/m/0brn2d,Field\r\n/m/0b_rs,Swimming pool\r\n/m/0brtzx,Napkin holder\r\n/m/0brwp0,Nissan 180sx\r\n/m/0bryct,Hyundai terracan\r\n/m/0brytpf,Agent orange\r\n/m/0brz4lv,Quercus turbinella\r\n/m/0brz6v2,Sauna suit\r\n/m/0bs0dk,Koenigsegg ccx\r\n/m/0bs1yfr,Tinutuan\r\n/m/0bs2mg,Stone put\r\n/m/0bs2zr,Desoto adventurer\r\n/m/0bs3qw0,Renault fluence z.e.\r\n/m/0bs4r_,Antenna rotator\r\n/m/0bs5r2v,Eastern Indigo Snake\r\n/m/0bs6np0,California Legless Lizard\r\n/m/0bs6s2c,Olmeca tequila\r\n/m/0bs7_0t,Electronic device\r\n/m/0bs7bcg,Méchoui\r\n/m/0bs7sg,Beer glass\r\n/m/0bs9vz,Croquette\r\n/m/0bsbkf,Desoto powermaster\r\n/m/0bsfj,Adjustable spanner\r\n/m/0bsgy2,Desoto airflow\r\n/m/0bsh86,Honda t360\r\n/m/0bshcc,Honda vamos\r\n/m/0bshnr,Honda s500\r\n/m/0bsjg8,Honda 1300\r\n/m/0bsk0t,Menchi-katsu\r\n/m/0bsm0p,Desoto airstream\r\n/m/0bsnny,Desoto custom\r\n/m/0bsn_s,Desoto deluxe\r\n/m/0bspk0,Desoto suburban\r\n/m/0bsqfg,Pig's organ soup\r\n/m/0bsr2mf,Tulipa humilis\r\n/m/0bsrf3,Swamp Rose mallow\r\n/m/0bss51,Thumbs signal\r\n/m/0bs_x,Dodge\r\n/m/0bt2cb,Alfa romeo 1900\r\n/m/0bt2m,Orc\r\n/m/0bt6cg,Shami kebab\r\n/m/0b_t8t,Rumpler tropfenwagen\r\n/m/0bt9lr,Dog\r\n/m/0btbr0,Tinto de verano\r\n/m/0bt_c3,Book\r\n/m/0btc46,Dog banana\r\n/m/0btc6_,Embellishment\r\n/m/0btc80,Renault racoon\r\n/m/0btcr,Levee\r\n/m/0btjl7,Studebaker big six\r\n/m/0btl2k,Studebaker transtar\r\n/m/0btlpm,Studebaker light six\r\n/m/0btmb,Superhero\r\n/m/0btmnp,Pasta e fagioli\r\n/m/0btn7_,Studebaker coupe express\r\n/m/0btp2,Traffic\r\n/m/0btwlv,Sakhalin husky\r\n/m/0btxbj,Long nosed Snake\r\n/m/0btxm1,Hog-nosed snakes\r\n/m/0bv0f7,Valencia orange\r\n/m/0bv0yw,Dodge ram srt-10\r\n/m/0bv199,Professional boxing\r\n/m/0bv1sc,Dodge ram rumble bee\r\n/m/0bv2v,Echinoderm\r\n/m/0bv6wg,Ford shelby cobra concept\r\n/m/0bvh8d,Gaida\r\n/m/0bvjl,Ringed-worm\r\n/m/0bvn8w,Folding chair\r\n/m/0bvpg,Unicorn\r\n/m/0bvtqn,Australian passport\r\n/m/0bvv45,Seedless fruit\r\n/m/0bvv_,Antarctic krill\r\n/m/0bvx0x,Mercedes-benz f-cell\r\n/m/0bw2kx,Bull's eye level\r\n/m/0bw3kk,Sauce ravigote\r\n/m/0bw623,Lunge\r\n/m/0bw78q,Ragda pattice\r\n/m/0bwd_0j,Elephant\r\n/m/0bwd5,Business school\r\n/m/0bwf50,Trout bum\r\n/m/0bwf_bh,Lasiommata\r\n/m/0bwgbm,Water snake\r\n/m/0bwgjh,Medical thermometer\r\n/m/0bwhgmp,Air hammer\r\n/m/0bwj2z,American Snout orCommon Snout Butterfly\r\n/m/0bwjv9,Atta flour\r\n/m/0bwkr7g,Egg shaker\r\n/m/0bwm4h,Pipevine Swallowtail\r\n/m/0bwm8q,Dog crate\r\n/m/0bwnld,Rambler classic\r\n/m/0bwq7p,Eagle bone whistle\r\n/m/0bwqb,Polka\r\n/m/0bwr_0,Cadillac sts-v\r\n/m/0bwrdd,Junior showmanship\r\n/m/0bwt59,Hatstand\r\n/m/0bwwgd,Nash rambler\r\n/m/0bwyx9,Nocino\r\n/m/0bx24_,Bacardi superior\r\n/m/0bx2zb,Alyssum\r\n/m/0bx8s1,Petit four\r\n/m/0bxbd7,Smudge stick\r\n/m/0bxdf,Rave\r\n/m/0b_xdx,Little Brown Myotis\r\n/m/0bxdx,Windmill\r\n/m/0bxmfd,Turtle soup\r\n/m/0bxr4,Ruby\r\n/m/0bxtq0,Tramontana\r\n/m/0bxw7k,Hachis parmentier\r\n/m/0bxxr2,Pouteria caimito\r\n/m/0bxy01,Matzah brei\r\n/m/0bx_y3w,Television set\r\n/m/0bxyyx_,Feature phone\r\n/m/0bxyzy9,Guagua de pan\r\n/m/0bxzbs3,Fitness professional\r\n/m/0bxzd_p,Stripper\r\n/m/0by0ngf,Multi-tool\r\n/m/0by0pcx,Chevrolet constantia\r\n/m/0by0z,Fjord\r\n/m/0by12lj,Scion iq\r\n/m/0by1g,Crayfish\r\n/m/0by1tn,Peteca\r\n/m/0b__y2j,Mysis\r\n/m/0by2mv,Glamorgan sausage\r\n/m/0by2r,Bud\r\n/m/0by3l3,High priest\r\n/m/0by3w,Jumping\r\n/m/0by4j8,Mazda bt-50\r\n/m/0by6g,Shark\r\n/m/0by6z,Black panther\r\n/m/0by70h,Mango pudding\r\n/m/0by7c,Great white shark\r\n/m/0by8vb,American red cross\r\n/m/0by99r,Chrysler airstream\r\n/m/0by9lp,Toy block\r\n/m/0bybm1,California flounder\r\n/m/0byb_x,Talent show\r\n/m/0bydkk,Bánh canh\r\n/m/0byj4,Combat\r\n/m/0bykh8,Smart forfour\r\n/m/0bykn,Duct tape\r\n/m/0b_ykq,Peanut sauce\r\n/m/0byllc,Lotus 41\r\n/m/0bylty,Pink moccasin flower\r\n/m/0bynfk,Taphon\r\n/m/0bynt,Track and field athletics\r\n/m/0byp9,Hammer throw\r\n/m/0bypsd,Kandyan dance\r\n/m/0bypt,Decathlon\r\n/m/0bypyd,Spyker d8\r\n/m/0byrsb,Caparrones\r\n/m/0bysjw,Stone wall\r\n/m/0bytl4,Mì quảng\r\n/m/0bywxj,Zastava florida\r\n/m/0byyql,Ribbon of saint george\r\n/m/0byz3d,Pitch and putt\r\n/m/0bz5vf,Gopher Tortoise\r\n/m/0bz8xg,Renault reinastella\r\n/m/0bz9yt,Senna\r\n/m/0bzcf6,Rosenwald school\r\n/m/0b_zf,Plumbing\r\n/m/0bzfym,Alfa romeo giulietta\r\n/m/0bzg13,Alfa romeo 169\r\n/m/0bzh1z,Alfa romeo tipo 33\r\n/m/0bzhwv,Static trapeze\r\n/m/0bzjf9,Wheelchair curling\r\n/m/0bzjxt,Para-alpine skiing\r\n/m/0bzlzs,Ferrari mythos\r\n/m/0bzmc7,Wheelchair rugby league\n/m/0bzng_,Fiat 850\r\n/m/0bztk9,Saffron bun\r\n/m/0bzwl,Teenage mutant ninja turtles\r\n/m/0c025z,Ford forty-nine\r\n/m/0c027c,Pontiac grand safari\r\n/m/0c029g,Pontiac custom s\n/m/0c02gc9,Lalab\r\n/m/0c02nwq,Woods' rose\r\n/m/0c02pp7,Athletics\r\n/m/0c02tq,Ringneck snake\r\n/m/0c02w2,Polar fleece\r\n/m/0c04r9,Freestyle skydiving\r\n/m/0c055,Minidisc\r\n/m/0c06p,Candle\r\n/m/0c0bqg,Toyota ts010\r\n/m/0c0glj,Bowler\r\n/m/0c0hvg,Hyundai marcia\r\n/m/0c0lxk,Packard 300\r\n/m/0c0myr,First generation range rover\r\n/m/0c0qdr,Suckling pig\r\n/m/0c0ryf,One eyed Sphinx\r\n/m/0c0szp,Mazda kabura\r\n/m/0c0t2j,Chef's uniform\r\n/m/0c0wyj,Barracouta\r\n/m/0c0xs5,Rambler rebel\r\n/m/0c0ygc,Stallion\r\n/m/0c0ypt,Morgan lifecar\r\n/m/0c1331,Zotye 2008\r\n/m/0c134f,Aquarius\r\n/m/0c_16,Blood vessel\r\n/m/0c16s6,Centella asiatica\r\n/m/0c17fh,Rangpur\r\n/m/0c185_,Virginia lungwort\r\n/m/0c19l_,Eastern Hognose Snake\r\n/m/0c1bfc,Mandelbrodt\r\n/m/0c1c2xl,Cinclidae\r\n/m/0c1hjp,Packard 200\r\n/m/0c1j77,Packard caribbean\r\n/m/0c1k47,Anago\r\n/m/0c1kfk,Unadon\r\n/m/0c1ml,Slate\r\n/m/0c1vpk,Packard station sedan\r\n/m/0c1vsn,Panko\r\n/m/0c1vxg,Mixed-use\r\n/m/0c1xzr,Zest\r\n/m/0c1zmz,Central asian shepherd dog\r\n/m/0c2_13,Windshield washer fluid\r\n/m/0c23pz,Mare\r\n/m/0c24wr,Common opossum\r\n/m/0c25k9,Garlic fingers\r\n/m/0c28bv,Brittle\r\n/m/0c28q,Moraine\r\n/m/0c29q,Leopard\r\n/m/0c2hn_,Kaymak\r\n/m/0c2jj,Axe\r\n/m/0c2kb9,Teiglach\r\n/m/0c2l96,Bush hammer\r\n/m/0c2lmm,Nurungji\r\n/m/0c2lp,Club\r\n/m/0c2m_,Begonia\r\n/m/0c2nxw,Musette de cour\r\n/m/0c2pc,Clover\r\n/m/0c2qc,Shallot\r\n/m/0c2r40,Packard 120\r\n/m/0c2r6g,Packard 110\r\n/m/0c2sy,Crustacean\r\n/m/0c2wf,Typewriter\r\n/m/0c2y_n,Texas Banded Gecko\r\n/m/0c2ywr,Hudson hornet\r\n/m/0c33fk,Škoda 1000 mb\r\n/m/0c3_4r,Volvo ec\r\n/m/0c3_52,Volvo city taxi\r\n/m/0c3_76,Volvo tundra\n/m/0c37z,Screw\r\n/m/0c3_bf,Volvo ecc\r\n/m/0c3cnc,Bar stool\r\n/m/0c3f7m,Fire alarm system\r\n/m/0c3f90,Honda s-mx\r\n/m/0c3flmk,Peppers\r\n/m/0c3fm4,Hudson jet\r\n/m/0c3fq_,Smooth sumac\r\n/m/0c3hlh,Western green mamba\r\n/m/0c3ht1,Pelinkovac\r\n/m/0c3k58,Pražský krysařík\r\n/m/0c3m8g,Hand dryer\r\n/m/0c3mkw,Soap dispenser\r\n/m/0c3sd4,Hudson greater eight\r\n/m/0c3tndx,Rhum agricole\r\n/m/0c3vfpc,Bicycle tire\r\n/m/0c3vk4w,Shave ice\r\n/m/0c3w3_m,Ashitaba\r\n/m/0c3wgrg,Craviola\r\n/m/0c3wkyx,Juk\r\n/m/0c3xbvz,Hidden ginger\r\n/m/0c3xsj5,Creamed eggs on toast\r\n/m/0c3y3jd,Slider\r\n/m/0c3yk,Charcoal\r\n/m/0c3ynbd,Stitch\r\n/m/0c3z6s0,Under-cabinet lighting\r\n/m/0c3zmf4,Kerak telor\r\n/m/0c4029,Tripletails\r\n/m/0c40jr,Hudson wasp\r\n/m/0c40t,Chow chow\r\n/m/0c41ngr,Ogokbap\r\n/m/0c423h0,Panoz abruzzi\r\n/m/0c45h9,Orecchiette\r\n/m/0c45rk,Hudson commodore\r\n/m/0c4936,'Nduja\r\n/m/0c4f_,Weight training\r\n/m/0c4kv3,Mitsubishi galant vr-4\r\n/m/0c4lp,Rib\r\n/m/0c4pt2,Atala\r\n/m/0c4vjz,Northern catalpa\r\n/m/0c4yb3,Plymouth pronto\r\n/m/0c4zrz,Snips\r\n/m/0c_537,Placemat\r\n/m/0c558_,Nissan rasheen\r\n/m/0c568,Porcupine\r\n/m/0c59y,Bourbon whiskey\r\n/m/0c5jxs,Ade\r\n/m/0c5lg,Judge\r\n/m/0c5ly,Jury\r\n/m/0c5mq,Printing\r\n/m/0c5q0q,Mi rebus\r\n/m/0c5q8,Chalk\r\n/m/0c5qpp,Piffero\r\n/m/0c5rj2,Edsel citation\r\n/m/0c5s4_,Edsel corsair\r\n/m/0c5shr,Edsel bermuda\r\n/m/0c5v90,Edsel pacer\r\n/m/0c5w9,Driftwood\r\n/m/0c5ww1,Edsel ranger\r\n/m/0c5y08,Lapta\n/m/0c5yy,Confectionery\r\n/m/0c5zz_,Edsel villager\r\n/m/0c60gf,Ford country sedan\r\n/m/0c61rs,Psyllium seed husks\r\n/m/0c6b70,Saraswati veena\r\n/m/0c6fl,Sicilian cuisine\r\n/m/0c6gg,Frutta martorana\r\n/m/0c6h7k,Ferrari gg50\r\n/m/0c6j13,Dragon's beard candy\r\n/m/0c6jz3,Volvo Öv 4\r\n/m/0c6kj8,Electric blanket\r\n/m/0c6lc,Mortadella\r\n/m/0c6m25,Gun drill\r\n/m/0c6s_2,Taiwan passport\r\n/m/0c6tcl,Sujeonggwa\r\n/m/0c_6z,Synagogue\r\n/m/0c71s,Welding\r\n/m/0c725h,Huddle\r\n/m/0c72l6,White sapote\r\n/m/0c73hj,Ghanaian cuisine\r\n/m/0c7753,Steeplechase\r\n/m/0c777z,Steeplechase\r\n/m/0c779w,Berger picard\r\n/m/0c7c9w,Juggernaut\r\n/m/0c7d8,Azadirachta indica\r\n/m/0c7g7,Unesco world heritage site\r\n/m/0c7ggq,Doloire\r\n/m/0c7mv,Fiat\r\n/m/0c7p7l,Boss 302 mustang\r\n/m/0c7pm0,Audi coupe gt\r\n/m/0c7py,Water tower\r\n/m/0c7r77,Nut roll\r\n/m/0c7y09,Audi pikes peak quattro\r\n/m/0c82_3,Mercedes-benz w212\r\n/m/0c8476,Black sapote\r\n/m/0c85fd,Dome\r\n/m/0c85zj,Structural basin\r\n/m/0c8995,Tsoureki\r\n/m/0c8gtm,Regal Moth\r\n/m/0c8gtz,Valley bulldog\r\n/m/0c8jf,Marsala wine\r\n/m/0c8jzx,Tied-arch bridge\r\n/m/0c8mb,Madeira wine\r\n/m/0c8r5r,Propane torch\r\n/m/0c8rp0,Tiropita\r\n/m/0c8sdt,Io moth\r\n/m/0c8x1g,Saron\r\n/m/0c8x6z,Kokoretsi\r\n/m/0c8xtx,Puma gtb\r\n/m/0c93f,Brandy\r\n/m/0c9dqt,Kendang\r\n/m/0c9k4d,Edger\r\n/m/0c9lrt,Corn chowder\r\n/m/0c9ph5,Flower\r\n/m/0c9vm2,Tarhana\r\n/m/0c9zf0,Chametz\r\n/m/0cb0xm,Passenger\r\n/m/0cb1hv,Tanacetum balsamita\r\n/m/0cb1x,Flange\r\n/m/0cb37,British shorthair\r\n/m/0cb8kk,Dutchman's breeches\r\n/m/0cb9vs,Toyota vios\r\n/m/0cbc6,Neanderthal\r\n/m/0cbd2,Writer\r\n/m/0cbgcg,Charity\r\n/m/0cbgst,Kintamani\r\n/m/0cbkkk,Mini SUV\r\n/m/0cblv,Ecoregion\r\n/m/0cb_ms,Cluster fig tree\r\n/m/0cbnxm,Nissan qashqai\r\n/m/0cbpyw,Mechanician\r\n/m/0cbq6k,Jaguar mark iv\r\n/m/0cbsnl,Resort town\r\n/m/0cbtjb,Opel signum\r\n/m/0cbtm,Tribe\r\n/m/0cbtp9,Drakaea\r\n/m/0cbv6m,Pan de coco\r\n/m/0cbv7n,Bakpia\r\n/m/0cbv8b,Inipit\r\n/m/0cbvv6,Water aerobics\r\n/m/0cbx8,Pane carasau\r\n/m/0cbxh6,Golden shiner minnow\r\n/m/0cc6_9k,Sailing\r\n/m/0cc7bks,Buffalo burger\r\n/m/0cc7qq,Erythronium dens-canis\r\n/m/0cc8xw1,Medical bag\r\n/m/0cc8zh,Bombard\r\n/m/0ccc8,Coelacanth\r\n/m/0c__cf,Hongdu l-15\r\n/m/0ccg2q,California sheephead\r\n/m/0ccgy7,Tvr cerbera\r\n/m/0ccjqk,Indoor netball\r\n/m/0cckst,Beschuit met muisjes\r\n/m/0ccpff,Winter jasmine\r\n/m/0ccs93,Canary\r\n/m/0ccz6h,Talempong\r\n/m/0cd25,Surgery\r\n/m/0cd2sg,Damaru\r\n/m/0cd3bj,Chain-link fencing\r\n/m/0cd3sd,Suzuki mighty boy\r\n/m/0cd4d,Cheetah\r\n/m/0cddm4,Chestnut-backed chickadee\r\n/m/0cdjgl,Chrysanthemum coronarium\r\n/m/0cdk2,Eggplant\r\n/m/0cdkl,Horseradish\r\n/m/0cdkwh,Treacle tart\r\n/m/0cdl1,Palm tree\r\n/m/0cdn1,Hamburger\r\n/m/0cdn2d,Trigger\r\n/m/0cdn7z,Wire saw\r\n/m/0cdnk,Big cats\r\n/m/0cdtd,Chariot\r\n/m/0cdv6g,Freight liner\r\n/m/0c_dxm,Dotorimuk\r\n/m/0cdzd1,Kenong\r\n/m/0cf09h,Satchel\r\n/m/0cf0b5,Sole\r\n/m/0c_f28,Birria\r\n/m/0cf417,Lotion\r\n/m/0cf45,Clouded leopard\r\n/m/0cf47w,Rickey\r\n/m/0cf5lc,Stamppot\r\n/m/0cf6y7,Ford f-650\r\n/m/0cf89,Subwoofer\r\n/m/0cfdd,Drum machine\r\n/m/0cffdh,Maple\r\n/m/0cfk35,Chocolate truffle\r\n/m/0cfkj,Monastery\r\n/m/0cfm_9,Sole\r\n/m/0cfp66,Beach ridge\r\n/m/0cfpc,Loudspeaker\r\n/m/0cfrhj,Surprised\r\n/m/0cfs8,Cathedral\r\n/m/0cfzkp,Compact mpv\r\n/m/0cgbqg,Dastar\r\n/m/0cgc2m,Salish Sucker\r\n/m/0cgc8,Pentecost\r\n/m/0cgcg0,Pittosporaceae\r\n/m/0cgdf5,Rally cap\r\n/m/0cgdld,Kopytka\r\n/m/0cgdrk,Feeder fish\r\n/m/0cgh4,Building\r\n/m/0cghn,Mcdonnell douglas f/a-18 hornet\r\n/m/0cghxp,Isuzu florian\r\n/m/0cgkc5,Syngnathiformes\r\n/m/0cgq1z,Hipparchia\r\n/m/0cgtq2,Jōdō\r\n/m/0cgvy,Porpoise\r\n/m/0cgx91,Isuzu bellel\r\n/m/0c_gy4,Renault clio v6 renault sport\r\n/m/0ch1v_m,3x3 (basketball)\r\n/m/0ch2f6,Pierce silver arrow\r\n/m/0ch2wk,Fire-star orchid\r\n/m/0ch36lm,Net sports\r\n/m/0ch399z,Drinking establishment\r\n/m/0ch3hmm,Hag fish\r\n/m/0ch47tv,Food grain\r\n/m/0ch4kjg,Bolboschoenus robustus\r\n/m/0ch5342,Trifolieae\r\n/m/0ch5ncy,Chili dog\r\n/m/0ch5nsq,Spaghetti alle vongole\r\n/m/0_ch6,Convent\r\n/m/0ch6mp2,Sound mixer\r\n/m/0ch75fj,Man-made Object\r\n/m/0ch8v,Livestock\r\n/m/0ch_b9,Freestyle motocross\r\n/m/0chbx,Violence\r\n/m/0ch_cf,Fish\r\n/m/0chhdv,Lincoln k-series\r\n/m/0chhwf,Mercedes-benz clk gtr\r\n/m/0ch_k,Thresher\r\n/m/0chlrk,Two-toed sloth\r\n/m/0chlx7,Three-toed sloth\r\n/m/0chm41,Riding instructor\r\n/m/0chmf1,Isuzu bellett\r\n/m/0chml9,Portrait photography\r\n/m/0chtjf,Sake set\r\n/m/0chv4,Fish and chips\r\n/m/0chyh,Butter\r\n/m/0cj0mn,Balsa wood bridge\r\n/m/0cj12m,Ford starliner\r\n/m/0cj45,Tuna\r\n/m/0cj4d6,Charwoman\r\n/m/0cj6f,Seaweed\r\n/m/0cj6x,Sowing\r\n/m/0cj730,Sikhye\r\n/m/0cj9q3,Chignon\r\n/m/0cjc4v,Throttle\r\n/m/0cjdwc,Smoked fish\r\n/m/0cjgz3,Rolls-royce twenty\r\n/m/0cjh0k,Rolls-royce wraith\r\n/m/0cjhhh,Bavarian cream\r\n/m/0cjj3z,Bedug\r\n/m/0cjj95,Kiteboating\r\n/m/0cjjb7,Bhajji\r\n/m/0cjjmn,Kachori\r\n/m/0cjjt,Mother's day\r\n/m/0cjjw1,Dhalang\r\n/m/0cjkt,Father's day\r\n/m/0cjlrm,Silene nutans\r\n/m/0cjl_t,Alpine forget-me-not\r\n/m/0cjmb8,Genoa salami\r\n/m/0cjnf,Australia day\r\n/m/0cjq5,Lobster\r\n/m/0cjqm,Flounder\r\n/m/0cjr3r,Volkswagen country buggy\r\n/m/0cjrj,Chowder\r\n/m/0cjs7,Asparagus\r\n/m/0cjt2,Flatfish\r\n/m/0cjtln,Pulled pork\r\n/m/0cjvf,Perching bird\r\n/m/0cjvy,Cuculiformes\r\n/m/0c_jw,Furniture\r\n/m/0cjx9v,Mazda familia astina\r\n/m/0cjyd,Sashimi\r\n/m/0cjz6h,Canada goose\r\n/m/0cjzq,Possum\r\n/m/0ck2c,Coaxial cable\r\n/m/0ck2xc,Lemon-lime\r\n/m/0ck43n,Storage tank\r\n/m/0ck7l,Ninja\r\n/m/0ck7y9,Toyota celica xx\r\n/m/0ck82,Rosary\r\n/m/0ck8d8,Isuzu 117 coupé\r\n/m/0ck9gr,Pigface\r\n/m/0ck9j,Passover seder\r\n/m/0c__kb,Chainsaw carving\r\n/m/0ckc5,Magenta\r\n/m/0ckctv,Toyota gt-one\r\n/m/0ckdlq,Animal product\r\n/m/0ckdv,Crayon\r\n/m/0ckl6,Scotch broth\r\n/m/0ckljz,Sweet grass\r\n/m/0cklk,Pea soup\r\n/m/0ckm6m,Kitfo\r\n/m/0ckmp,Chicken soup\r\n/m/0ckmyl,Marbled Salamander\r\n/m/0ckpn,Fish sauce\r\n/m/0ckq2,Apple sauce\r\n/m/0ckwm9,Peel\r\n/m/0cl1s,Bread pudding\r\n/m/0cl2v,Oat\r\n/m/0cl3b,Rye\r\n/m/0cl46,Turnip\r\n/m/0cl4p,Hedgehog\r\n/m/0cl4wg,Tabasco pepper\r\n/m/0cl63,Hay\r\n/m/0cl6l,Straw\r\n/m/0cl71,Loom\r\n/m/0cl7h,Drainage\r\n/m/0cl9t3p,Ski Equipment\r\n/m/0clc6q,Chinsuko\r\n/m/0clcc9,Bánh chưng\r\n/m/0clcjj,Bún bò huế\r\n/m/0clckl,Bò 7 món\r\n/m/0clct8,Cơm tấm\r\n/m/0cldt,Automated teller machine\r\n/m/0clf43,Breda ba.65\r\n/m/0clh9v,Steak au poivre\r\n/m/0clmbr,Ford f-250 super chief\r\n/m/0clmf,Radio telescope\r\n/m/0clq3_,Syzygium jambos\r\n/m/0cltwb,Ambrosia\r\n/m/0clyfn,Russian candy\r\n/m/0clzk9,Impact driver\r\n/m/0cm1l3,Sindhi cuisine\r\n/m/0cm3fq4,Baby toys\r\n/m/0c_m3h,Amaranth grain\r\n/m/0cm70,Virginia opossum\r\n/m/0cm8b5v,Haul video\r\n/m/0cm9w0j,Samba band\r\n/m/0cm9wzw,Blackstrap molasses\r\n/m/0cmb3c,Chèvre chaud\r\n/m/0cmbf0p,Whole wheat bread\r\n/m/0cmdlfy,Putinka\r\n/m/0cmdx7,Kofte kebab\r\n/m/0cmf2,Airplane\r\n/m/0cmgr6,Mudpuppy\r\n/m/0cmgw5,Nissan be-1\r\n/m/0cmhs8,Nissan pao\r\n/m/0cmjc8,Kati roll\r\n/m/0cmnf5,Paska\r\n/m/0cmpmf,Blackberry pie\r\n/m/0cmqr_4,Party supply\r\n/m/0cmsl0l,Electrical supply\r\n/m/0cmvft,Blue cod\r\n/m/0cmx8,Spoon\r\n/m/0cn1d,Puff pastry\r\n/m/0cn1w,Mince pie\r\n/m/0cn6p4,Glasspar g2\r\n/m/0cn6p,Otter\r\n/m/0cnb9tf,Irrigation system\r\n/m/0cncc6,Yellow belly bullhead\r\n/m/0cncxk,Trader\r\n/m/0cnfpz,Road trip\r\n/m/0cngpg,Pride of burma\r\n/m/0c_nh7,Güira\r\n/m/0cnlv,April fool's day\r\n/m/0cnmr,Fur\r\n/m/0cnmv_,Western gorilla\r\n/m/0cnp1y,Crostata\r\n/m/0cnq0,Pollen\r\n/m/0cnv4m,Sabich\r\n/m/0cnxd3_,Bolboschoenus\r\n/m/0cnxs6x,Tooth\r\n/m/0cnxwhd,Boring bar\r\n/m/0cny593,Lavandula dentata\r\n/m/0cny98x,Silene noctiflora\r\n/m/0cnybvx,Alabama slammer\r\n/m/0cnyhnx,Bull\r\n/m/0cnymy3,Rosy garlic\r\n/m/0cnz7rs,Audi a7\r\n/m/0cnzr3,Bianqing\r\n/m/0cp0f9s,Health shake\r\n/m/0cp0_mg,Chase vodka\r\n/m/0cp1qf9,Choy sum\r\n/m/0cp1vlr,Aquadvantage salmon\r\n/m/0cp1w6l,Underpants\r\n/m/0cp2d4k,Outdoor furniture\r\n/m/0cp2dk,Pisco punch\r\n/m/0cp2jx,Picadillo\r\n/m/0_cp5,Oyster\r\n/m/0cpb06,Non-dairy creamer\r\n/m/0cpfn,Easter bunny\r\n/m/0cpfyn,Manzana verde\r\n/m/0cpg4b,Polish tatra sheepdog\r\n/m/0cphhk,Headgear\r\n/m/0cpk7,Incandescent light bulb\r\n/m/0cpp28,Undhiyu\r\n/m/0cp_p,Taste\r\n/m/0cprgb,Ugly stick\r\n/m/0cpws4,German spitz klein\r\n/m/0cq1lp,Fish meal\r\n/m/0cq88m,Pacific halibut\r\n/m/0cqdf,Sponge\r\n/m/0cqg0t,Akita\r\n/m/0cqk6p,Western Diamond backed Rattlesnake\r\n/m/0cqkwn,Stable fly\r\n/m/0cqmp,Vault (gymnastics)\r\n/m/0cqn2,Horizontal bar\r\n/m/0cqnw,Perch\r\n/m/0cqnyl5,Packing materials\r\n/m/0cqp1r,Lotus 38\r\n/m/0cqpb,Trout\r\n/m/0cqpp5,Eurovans\r\n/m/0cqpth,Hortaya borzaya\r\n/m/0cqq5,Mackerel\r\n/m/0cqqn,Elf\r\n/m/0cqr1,Eel\r\n/m/0cqrbh,Grated cheese\r\n/m/0cqrj,Catfish\r\n/m/0cqrz,Fishing rod\r\n/m/0cqs9q,Lineman's pliers\r\n/m/0cqsc,Fishing reel\r\n/m/0cqt2,Fish hook\r\n/m/0cqt3q,Needle-nose pliers\r\n/m/0cqvj,Bass\r\n/m/0cqw8,Spotted Bass\r\n/m/0cqy4,White bass\r\n/m/0cqyj,White Perch\r\n/m/0cr5wp,Striped Burrfish\r\n/m/0cr6gr,Cabezon (fish)\r\n/m/0crbq7y,Pinch\r\n/m/0crc9tz,Blood and sand\r\n/m/0crdgbv,Sewing machine needle\r\n/m/0crfngr,Macaroni casserole\r\n/m/0crh1hs,Partridge pea\r\n/m/0crjs,Convenience store\r\n/m/0crlg9,Wild cranesbill\r\n/m/0crlh,Bungee jumping\r\n/m/0crlz,Water polo\r\n/m/0crm8q,Shaker\r\n/m/0crnf,Atlas\r\n/m/0crrxn,Yukigassen\r\n/m/0crsp,Chessboard\r\n/m/0crtnw,Executive car\r\n/m/0crxpr,Nocello\r\n/m/0crzb,Altimeter\r\n/m/0cs14,Atoll\r\n/m/0cs1nl,Convictfish\r\n/m/0cs24,Barometer\r\n/m/0cs4m,Doctor doom\r\n/m/0cs63q,Shankha\r\n/m/0cs7cc,Pandesal\r\n/m/0cs9s5,Avial\r\n/m/0csbd8,Clàrsach\r\n/m/0csby,Cloud\r\n/m/0csfkf,Prairie Rattlesnake\r\n/m/0csfp6,Alfa romeo 33 stradale\r\n/m/0csh5,Cumulus\r\n/m/0cshcm,West siberian laika\r\n/m/0cshn,Photographic film\r\n/m/0csj5c,Scion fuse\r\n/m/0csj6s,Stain\r\n/m/0cslr3,Savoia-marchetti s.73\r\n/m/0csp7p,Kite landboarding\r\n/m/0csqd,Redfin Pickerel\r\n/m/0csrf1,Overcup oak\r\n/m/0csrf,Common weakfish\r\n/m/0csrs,Striper bass\r\n/m/0css3,Lunge\r\n/m/0cst8,Sheepshead seabream\r\n/m/0csy8,Suspension bridge\r\n/m/0ct1vm,Death\r\n/m/0ct4f,Bomb\r\n/m/0ct4k8,Fistball\r\n/m/0ct59,Paella\r\n/m/0ct6hx,Starting pistol\r\n/m/0ct6nr,Pathiri\r\n/m/0ct715,Horumonyaki\r\n/m/0c_t7h,Fattoush\r\n/m/0ctby,Hippie\r\n/m/0ctcs9,Oil filter\r\n/m/0ctfk,Espresso\r\n/m/0ctgwz,Kerala porotta\r\n/m/0cthkd,Caligae\r\n/m/0ctphv,Optare tempo\r\n/m/0ctrp,Sport utility vehicle\r\n/m/0ctsx,Coral\r\n/m/0ctvs2,Agave nectar\r\n/m/0cv55g,Leblebi\r\n/m/0cv5cr,Volvo t6\r\n/m/0cv6_m,Python\r\n/m/0cv95t,Pacific bleeding heart\r\n/m/0cvg6q,Tall field buttercup\r\n/m/0cvnqh,Bench\r\n/m/0cvq3,Pickup truck\r\n/m/0cvqk4,Saab 9-2\r\n/m/0cvt8m,Capacitor\r\n/m/0cw1wr,Adapter\r\n/m/0cw2s8,Grindstone\r\n/m/0cw2t,Driver's license\r\n/m/0cw2yv,Malaysian passport\r\n/m/0cw6k,Musical composition\r\n/m/0cwgk2,Peugeot 308\r\n/m/0cwgpy,Daihatsu applause\r\n/m/0cwl0,Anzac day\r\n/m/0cwm6x,Farancia\r\n/m/0cwmw9,Frula\r\n/m/0cw_nc,Ciorbă\r\n/m/0cwpsz,Brown snake\r\n/m/0cwr3d,Slender blind snake\r\n/m/0cws7,Polder\r\n/m/0cwxfj,Porsche 911 gt2\r\n/m/0cwz15,Clemmys\r\n/m/0cwzbl,Ceratitis capitata\r\n/m/0cwzcn,Yellow onion\r\n/m/0cwzg2,Red onion\r\n/m/0cx37,Hare\r\n/m/0cx45,Temple\r\n/m/0cx50s,North American newt\r\n/m/0cxblz,Ford falcon (north america)\r\n/m/0cxbp0,Ford falcon\r\n/m/0cxg0c,Polish hound\r\n/m/0cxh61,Sungnyung\r\n/m/0cxjpk,Kimchijeon\r\n/m/0cxn2,Ice cream\r\n/m/0cxnl,Hemp family\r\n/m/0cxp1,Commodity\r\n/m/0cx_rc,Oriental fire-bellied toad\r\n/m/0cxs6x,Northern Cricket Frog\r\n/m/0cxt_6,Pashmak\r\n/m/0cxwt,Fractal art\r\n/m/0cxyk5,Dusky salamander\r\n/m/0cxz2b,Pepino\r\n/m/0cxz4t,Texas Toad\r\n/m/0cxzj3,Woodhouse's Toad\r\n/m/0cy07_,Sesame chicken\r\n/m/0cy1k9,Display board\r\n/m/0cy27,Range rover\r\n/m/0cy5d0,Vaux s Swift\r\n/m/0cy8mp,Thukpa\r\n/m/0cybg8,Waders\r\n/m/0cydv,Caterpillar\r\n/m/0cydvr,Rover 200 coupé\r\n/m/0cyf8,Butterfly\r\n/m/0cyfs,Parachute\r\n/m/0cygn9,Night snake\r\n/m/0cyhj_,Orange\r\n/m/0cykbp,Chevrolet 150\r\n/m/0cyvrml,Chevrolet corvair 500\r\n/m/0cyz6w,Whole food\r\n/m/0cz_0,Highway\r\n/m/0cz160,Shoulder pads\r\n/m/0cz1r9,Mink Frog\r\n/m/0cz2kt,Gray Treefrog\r\n/m/0cz6vl,Chwinamul\r\n/m/0cz7hct,Humberette\r\n/m/0cz9tfk,Wedang jahe\r\n/m/0czbcrw,Rosa persica\r\n/m/0czbdd9,Canis lupus tundrarum\r\n/m/0czbht0,Aricia\r\n/m/0czbsnh,Gorki list\r\n/m/0czf7s1,Narutomaki\r\n/m/0c_zfj,Ford crown victoria police interceptor\r\n/m/0cz_h,Sloop\r\n/m/0czhx9,Black willow\r\n/m/0cz_js,Suzuki gsx-r/4\r\n/m/0czksw,Tvr grantura\r\n/m/0cz_l4,Yellow bullhead\r\n/m/0czsqd,Albatross\r\n/m/0czz2,Antelope\r\n/m/0d0h0h,Girder bridge\r\n/m/0d0kjx,Pine Barrens Treefrog\r\n/m/0d0lh,Lance\r\n/m/0d0q11,Salted duck egg\r\n/m/0d0q5k,Hindustan contessa\r\n/m/0d0vjn,Geplak\r\n/m/0d0wbx,Mitsubishi 500\r\n/m/0d0_z,Green bass\r\n/m/0d101p,Jolada rotti\r\n/m/0d10d,Northern largemouth bass\r\n/m/0d11_f,Spoonbread\r\n/m/0d11nh,Texas bluebonnet\r\n/m/0d125p,Kulich\r\n/m/0d13h,Wall eyed pike\r\n/m/0d18t1,Israeli salad\r\n/m/0d1b3,Scombridae\r\n/m/0d1cx,Salmon-like fish\r\n/m/0d1n2,Horizon\r\n/m/0d1pc,Model\r\n/m/0d1pzw,Lancia lybra\r\n/m/0d1r43,Phat khing\r\n/m/0d1t3,Dressage\r\n/m/0d1tdv,Bindaetteok\r\n/m/0d1tkq,Bosintang\r\n/m/0d1tm,Eventing\r\n/m/0d1w9,Prison\r\n/m/0d20w4,Beaker\r\n/m/0d22wz,Rope climbing\r\n/m/0d230f,Naked hiking\r\n/m/0d234b,Maserati 3500\r\n/m/0d27dn,Benz patent-motorwagen\r\n/m/0d29gm,Field trial\r\n/m/0d2gl1,Knee pad\r\n/m/0d2hs8,Ribbon snake\r\n/m/0d2j5q,Aston martin dbs v12\r\n/m/0d2ml0,Lancia gamma\r\n/m/0d_2m,Moths and butterflies\r\n/m/0d2mv3,Namasu\r\n/m/0d2n4y,Ferrari 599 gtb fiorano\r\n/m/0d2nk4,Caramel color\r\n/m/0d2t1_,Underwing moths\r\n/m/0d2vn3,Lotus 88\r\n/m/0d2ww,Supermodel\r\n/m/0d2xmz,Wonton noodles\r\n/m/0d2xq,Palette knife\r\n/m/0d31p,Vacuum cleaner\r\n/m/0d33gm,Mongolian beef\r\n/m/0d38m,Marathon\r\n/m/0d38y_,Maserati 250f\r\n/m/0d3b2p,Maserati 300s\r\n/m/0d3b5t,Diamondback water snake\r\n/m/0d3qh,Biplane\r\n/m/0d3s4,Carburetor\r\n/m/0d3vs3,Lancia flaminia\r\n/m/0d3z5r,Aviator sunglass\r\n/m/0d48gp,Embraer emb 314 super tucano\r\n/m/0d4by,Patchwork\r\n/m/0d4cc3,Waving\r\n/m/0d4cc,Needlework\r\n/m/0d4djn,Dog hiking\r\n/m/0d4ggl,Johnnycake\r\n/m/0d4mn0,John's cabbage\r\n/m/0d_4s,Grapevine family\r\n/m/0d4sy2,Manjū\r\n/m/0d4tnd,Mandi\r\n/m/0d4v4,Window\r\n/m/0d4vn,Hall\r\n/m/0d4w1,Closet\r\n/m/0d4wcl,Kayamb\r\n/m/0d4wf,Kitchen\r\n/m/0d4y5,Extinction\r\n/m/0d4z94,Great Plains Toad\r\n/m/0d5476,Maserati 450s\r\n/m/0d59gh,Tibetan food\r\n/m/0d5b7v,Çifteli\r\n/m/0d5c7n,Bradawl\r\n/m/0d5gh,Batholith\r\n/m/0d5gx,Castle\r\n/m/0d5nn,Fortune cookie\r\n/m/0d5pkv,Eastern Narrowmouth Toad\r\n/m/0d5r4p,Proton putra\r\n/m/0d5w3r,Maserati a6\r\n/m/0d5y6m,Proton satria r3\r\n/m/0d5yby,Sussex spaniel\r\n/m/0d5zvd,Sloth\r\n/m/0d61m,Aurora\r\n/m/0d6crd,Mitsubishi model a\r\n/m/0d6dpw,Spinnerbait\r\n/m/0d6fsk,Mixed nuts\r\n/m/0d6fv7,Lardy cake\r\n/m/0d6h1f,Beach moonflower\r\n/m/0d6j4r,Drayman\r\n/m/0d_6k,Acerola\r\n/m/0d6_lc,Holden ute\r\n/m/0d6_mr,Pygmy Rattlesnake\r\n/m/0d6mw7,Squirrel tree frog\r\n/m/0d6n1,Ballet\r\n/m/0d6n_d,Plain bellied Watersnake\r\n/m/0_d6n,Jigsaw puzzle\r\n/m/0d6_ns,Noppe\r\n/m/0d6ry8,Tent pegging\r\n/m/0d6yy5,Ondioline\r\n/m/0d73b5,Cercidium microphyllum\r\n/m/0d74dx,Fender\r\n/m/0d74nl,Gluten-free beer\r\n/m/0d76r,Arcade game\r\n/m/0d77sr,Serrano pepper\r\n/m/0d79jq,Erg\r\n/m/0d7fvd,Theater curtain\r\n/m/0d7gy,Eucalyptus\r\n/m/0d7hf,Areca nut\r\n/m/0d7j9,Herring\r\n/m/0d7mt0,Water forget me not\r\n/m/0d7pp,Credit card\r\n/m/0d7pvj,Rock python\r\n/m/0d7s3w,Puppy\r\n/m/0d7sv1,Upright yellow sorrel\r\n/m/0d7syz,Will\r\n/m/0d7thq,Tatsoi\r\n/m/0d7tlt,Ammunition ship\r\n/m/0d7v_,Maya civilization\r\n/m/0d7z9,Redwood\r\n/m/0d8154,Common yellow violet\r\n/m/0d82sj,Vacuum coffee maker\r\n/m/0d83qh,Cascara sagrada\r\n/m/0d84n,Present\r\n/m/0d883y,Ac greyhound\r\n/m/0d88bv,Chicken lollipop\r\n/m/0d88hh,Manchow soup\r\n/m/0d89gb,Mitsubishi l300\r\n/m/0d8c4,Lockheed Corporation\r\n/m/0d8cn,Rainforest\r\n/m/0d8dtw,Stargazer lily\r\n/m/0d8hn5,Alfa romeo p3\r\n/m/0d8jd0,Baby carrot\r\n/m/0d8lm,String instrument\r\n/m/0d8qb,Journalist\r\n/m/0d8qv,Zebu\r\n/m/0d8rd2,Oregon cherry\r\n/m/0d8rlg,Space heater\r\n/m/0d8s0z,Artemisia californica\r\n/m/0d8ypn,Rosa nutkana\r\n/m/0d8zb,Jellyfish\r\n/m/0d8zg5,Bodypump\r\n/m/0d_90l,Chả lụa\r\n/m/0d_91z,Long-tailed Blue\r\n/m/0d9_3,Larva\r\n/m/0d_94,Saffron\r\n/m/0d96wb,Škoda roomster\r\n/m/0d97cx,Old fashioned glass\r\n/m/0d99pf,Control panel\r\n/m/0d9c33,Hi-chew\r\n/m/0d9f4r,Zastava 10\r\n/m/0d9fx0,Þorramatur\r\n/m/0d9j3t,Kulcha\r\n/m/0d9kvq,Level vodka\r\n/m/0d_9pq,Mitsubishi fuso aero bus\r\n/m/0d9qlz,Ulmus alata\r\n/m/0d9trw,Asymmetric cut\r\n/m/0d9vww,Canada white violet\r\n/m/0d9wj,Urban design\r\n/m/0d9wty,Black forest ham\r\n/m/0d9wys,Tree stump\r\n/m/0db0h_,Pinakbet\r\n/m/0db0qw,Hamper\r\n/m/0db10c,Mud bogging\r\n/m/0db1j8,Volkswagen ea489 basistransporter\r\n/m/0db2f,High-speed rail\r\n/m/0db6d,Kiss\r\n/m/0db79,Clergy\r\n/m/0dbjz7,Striped Chorus Frog\r\n/m/0dbk_j,Kai ken\r\n/m/0dbl1z,Yukon gold potato\r\n/m/0dbrl,Garlic\r\n/m/0dbs2,Gargoyle\r\n/m/0dbsnr,Volkswagen constellation\r\n/m/0dbtv,Flood\r\n/m/0dbvj3,Writing desk\r\n/m/0dbvp,Goose\r\n/m/0dbxbw,Sardenara\r\n/m/0dbxd8,Ford escort rs 1700t\r\n/m/0dbxhq,Joint compound\r\n/m/0dbzx,Mule\r\n/m/0dc0xz,Airsoft pellets\r\n/m/0dc1ms,Rhus ovata\r\n/m/0dc2mm,Goldmoss stonecrop\r\n/m/0dc3k,Enchilada\r\n/m/0dc47l,Electronic tanpura\r\n/m/0dc4t,Mole\r\n/m/0dc6bc,Bank teller\r\n/m/0dc7td,Purplehead\r\n/m/0dcfv,Table sugar\r\n/m/0dcg9r,Westfield xtr2\r\n/m/0dchj,Personal rapid transit\r\n/m/0dcjfr,Garden tool\r\n/m/0dck7t,Chikki\r\n/m/0dcms,United states postal service\r\n/m/0dcnjs,Champorado\r\n/m/0dcp0,Flash memory\r\n/m/0dcq80,Escolar\r\n/m/0dc_tt,Charina\r\n/m/0dc_v,Astronomy\r\n/m/0dcx_r,Ice cave\r\n/m/0dcy8,Bigtree\r\n/m/0dcyp,Texas longhorn\r\n/m/0dczxq,Diffuser\r\n/m/0dd32g,Destroyer tender\r\n/m/0dd37,Laser printing\r\n/m/0dd45,Dot matrix printing\r\n/m/0dd4k,Funicular\r\n/m/0dd5q,Jinrikisha\r\n/m/0dd6m,Inkjet printing\r\n/m/0dd7d,Oregon pine\r\n/m/0dd99j,Striped Skunk\r\n/m/0ddb920,Chrysler 200\r\n/m/0ddcdmg,Grape soda\r\n/m/0dddc3,Spotted jewelweed\r\n/m/0ddf5,Buccaneer\r\n/m/0ddfgx,Mg k-type magnette\r\n/m/0ddgj_3,Wild orange\r\n/m/0ddh25,Breadnut\r\n/m/0ddhqh,Stud finder\r\n/m/0ddhz,Iaidō\r\n/m/0ddlm7,Voltage converter\r\n/m/0ddm59,Asian soups\r\n/m/0ddmw_,Dinengdeng\r\n/m/0ddn04,Foam\r\n/m/0ddnl,Ferry\r\n/m/0ddnlv,Siren\r\n/m/0ddq_1,Lacrosse stick\r\n/m/0ddqw,Princess Leia\r\n/m/0ddrt,Boba fett\r\n/m/0ddrvl,Powder-actuated tool\r\n/m/0ddyv9,Hackberry\r\n/m/0df2hk,Boathouse\r\n/m/0df6p,Manta ray\r\n/m/0df80,Castanet\r\n/m/0df8xq,Nonbuilding structure\r\n/m/0dfbw,Racing\r\n/m/0dfdv,Snow leopard\r\n/m/0dffp,Router\r\n/m/0dffxw,Austin 10\r\n/m/0dfgf,Feather\r\n/m/0dfgh9,Huaiyang cuisine\r\n/m/0d_fj,Hockey puck\r\n/m/0dflpy,Indian elephant\r\n/m/0dflqz,Blue lacy\r\n/m/0dfm1j,Cetoniidae\r\n/m/0dfmm,Space station\r\n/m/0df_n8,Frisbee games\r\n/m/0dfq0y,Aston martin short chassis volante\r\n/m/0dftk,Swan\r\n/m/0dfv36,Irish car bomb\r\n/m/0dfw0n,Lampranthus\r\n/m/0dfw4h,Hymenocallis\r\n/m/0dfxcnz,Dijon mustard\r\n/m/0dfxcvl,Red bell pepper\r\n/m/0dfxd1b,Grated parmesan\r\n/m/0dfxdbn,Yellow cake mix\r\n/m/0dfxddd,Teriyaki sauce\r\n/m/0dfxdfp,Yellow pepper\r\n/m/0dfxdkp,Ground white pepper\r\n/m/0dfxdpq,Chili paste\r\n/m/0dfxdrn,Tamari\n/m/0dfxdtf,White cake mix\r\n/m/0dfxdv2,Oat bran\r\n/m/0dfxf1_,Wholegrain mustard\r\n/m/0dfzhv,Southern Leopard Frog\r\n/m/0dfzmm,Myrciaria\r\n/m/0dg0w,Computed tomography\r\n/m/0dg30cd,Plain fat-free yogurt\r\n/m/0dg7_b,Gray Hairstreak\r\n/m/0dg7fl,Orange Sulphur\r\n/m/0dgc3t,Automobile repair shop\r\n/m/0dgd_,Cinematographer\r\n/m/0dgg83,Headbanging\r\n/m/0dglm,American black bear\r\n/m/0dgn43p,Catfoot cudweed\r\n/m/0dgn463,Calochilus robertsonii\r\n/m/0dgp7p,Caparo t1\r\n/m/0dgpf9b,Flying duck orchid\r\n/m/0dgq548,Petit salé\r\n/m/0dgq8nv,Round-nose pliers\r\n/m/0dgqt58,Esquites\r\n/m/0dgr9,Magnet\r\n/m/0dgs3tb,Lamborghini sesto elemento\r\n/m/0dgsb1k,Whipsaw\r\n/m/0dgsmhc,Yoga mat\r\n/m/0dgsmq8,Artwork\r\n/m/0dgv00,Gamjatang\r\n/m/0dgvd_,Kogel mogel\r\n/m/0dgw9r,Human\r\n/m/0dh21,Pipeline transport\r\n/m/0dh__6,Cacciucco\r\n/m/0dh8s,Mail\r\n/m/0dh90q,Board track racing\r\n/m/0dh991,Beach rugby\r\n/m/0dhh94,Nurse shark\r\n/m/0dhlp4,Sevan trout\r\n/m/0dhr42,Footbag net\r\n/m/0dht30,Volvo pv 36 carioca\r\n/m/0dht98,Squash Vine Borer\r\n/m/0dhvj7,Kromfohrländer\r\n/m/0dhy7x,Canterbury bells\r\n/m/0dhz0,Airliner\r\n/m/0dhzt0,Red banded Hairstreak\r\n/m/0dj0kg,Cloth merchant\r\n/m/0dj1r,Californian black oak\r\n/m/0dj24b,Kabab koobideh\r\n/m/0dj2h6,Kadhi\r\n/m/0dj2hx,Lotus eleven\r\n/m/0dj2nv,Chery v5\r\n/m/0dj2wpn,Green bell pepper\r\n/m/0dj2x3,Muthia\r\n/m/0dj6p,Peach\r\n/m/0dj75,Onion\r\n/m/0dj81,Bulb\r\n/m/0dj8k,Kenjutsu\r\n/m/0dj9n9,Bolas criollas\r\n/m/0djbc,Guillotine\r\n/m/0djbw,Rabbi\r\n/m/0d_jdb,Jaguar xj13\r\n/m/0djh8b,Silken windhound\r\n/m/0djhcg,Green bean casserole\r\n/m/0djkp8,Laperm\r\n/m/0djmp,Ancient history\r\n/m/0djnbz,Morris six ms\r\n/m/0djs56,Regularity rally\r\n/m/0_djs,Jigsaw\r\n/m/0djtd,Coconut\r\n/m/0djwly,Mud turtle\r\n/m/0djxw4,Phytolaccaceae\r\n/m/0djyym,Neotinea ustulata\r\n/m/0djz8d,Lawn aerator\r\n/m/0djzjj,Pruning shears\r\n/m/0dk0r5,Apple dumpling\r\n/m/0dk388,Radiologic technologist\r\n/m/0dk462,Tvr cerbera speed 12\r\n/m/0dk6sl,Hedge trimmer\r\n/m/0dkb9w,Cozonac\r\n/m/0dkbk80,Sprouted wheat\r\n/m/0dkbqt,Little Grass Frog\r\n/m/0dkd6ry,Itaipava\r\n/m/0dkg2h,Pissaladière\r\n/m/0dk_k9,Lycaena\r\n/m/0dkssk,Kluski\r\n/m/0dkw5,Machine\r\n/m/0dkxm,Mold\r\n/m/0dkzw,Seat belt\r\n/m/0dl16c,Wildlife biologist\r\n/m/0dl1v4,Phat si io\r\n/m/0dl21s,Drunken noodles\r\n/m/0dl6q,Silk\r\n/m/0dl76,Prince\r\n/m/0dl83,Arrow\r\n/m/0dl8m,Dam\r\n/m/0dlgzb,Bakmi\r\n/m/0dlk0vw,Floribunda\r\n/m/0dlkw87,Buick verano\r\n/m/0dll20w,Three olives vodka\r\n/m/0dlly9m,Home accessories\r\n/m/0dlm8j,Buttonbush\r\n/m/0dln2t7,Dabeli\r\n/m/0dlnfl3,Calochilus paludosus\r\n/m/0dlr_m,Futebol de salão\r\n/m/0dlsr0,Pizza stone\r\n/m/0dlsw6,Khmeli suneli\r\n/m/0dly90,Leather jacket\r\n/m/0dm32,Sweet potato\r\n/m/0dm6dl,Barechested\r\n/m/0d_m7d,Durango boot\r\n/m/0dmk_2,Golden poison frog\r\n/m/0dmnj2,Rolls-royce\r\n/m/0dmpm,Moped\r\n/m/0dmq2,Scooter\r\n/m/0dms2,Blimp\r\n/m/0d_msv,Pan-bagnat\r\n/m/0dmvl0,Pontiac 2+2\r\n/m/0dmw0,Plantago\r\n/m/0dn37p,Weineck cobra limited edition\r\n/m/0dn_6t,Iso grifo\r\n/m/0dn7v,Sumo\r\n/m/0dncb7,Mégane RS\r\n/m/0dncwk,Renault fluence\r\n/m/0dnhvf,Toyota dyna\r\n/m/0dnhy,Sidewalk\r\n/m/0dnkv9,Calçot\r\n/m/0dnkv,Supermarket\r\n/m/0dnkwr,Ocypodidae\r\n/m/0dnl4z,Cheese roll\r\n/m/0dnlbj,Traditional korean musical instruments\r\n/m/0dnm_q,Papa rellena\r\n/m/0dnn6f,Mitsubishi cordia\r\n/m/0dnn7g,Mitsubishi tredia\r\n/m/0dnqvy,Recliner\r\n/m/0dnr7,Textile\r\n/m/0dntg1,Human body louse\r\n/m/0dnwy3,Hubei cuisine\r\n/m/0dp0_x,Nagak\r\n/m/0dp2wy,Mitsubishi delica\r\n/m/0dp4pz,Sealant\r\n/m/0dp5vr,Sheftalia\r\n/m/0dp7g,Weaving\r\n/m/0dp7vs,Narrow-body aircraft\r\n/m/0dpbb,Eschscholzia californica\r\n/m/0dpbg_,Kongnamul\r\n/m/0dpc0v,German rex\r\n/m/0dpj6t,Non-alcoholic beverage\r\n/m/0dpkjq,Renault clio renault sport\r\n/m/0dpm1v,Soccer ball\r\n/m/0dpnytb,Afuche / cabasa\r\n/m/0dprt0,Party favor\r\n/m/0dpryk,Pamonha\r\n/m/0dpsh1v,Double reed\r\n/m/0dpvm,Arch\r\n/m/0dpx6y,German longhaired pointer\r\n/m/0dq254,Mercury eight\r\n/m/0dq26j,Coxswain\r\n/m/0dq43l,Matnakash\r\n/m/0dq6zp,Rosa × centifolia\r\n/m/0dq75,Raccoon\r\n/m/0dqb5,Citrus\r\n/m/0dqb6p,Elbow pad\r\n/m/0_dqb,Chisel\r\n/m/0dqc4,Caridean shrimp\r\n/m/0dqfr0,Evergreen candytuft\r\n/m/0d_qg3,Beer bread\r\n/m/0dqhqh,Tatra 77\r\n/m/0dqmm,Dendrobranchiata\r\n/m/0dqr2j,Nissan 300c\r\n/m/0dqs43,Ringlet\r\n/m/0dr_02,Makchang gui\r\n/m/0dr0bd,Fpv f6\r\n/m/0dr0h,Touring car racing\r\n/m/0dr0x,Sports car racing\r\n/m/0dr19,Rallying\r\n/m/0dr1f6,Cuatro\r\n/m/0dr1q0,Daegeum\r\n/m/0dr_2l9,Lieutenant\r\n/m/0dr47,Boar\r\n/m/0dr_47_,Sattu\r\n/m/0dr8qk,Cuckoo Wasps\r\n/m/0dr_96m,Munch\r\n/m/0dr9vm,Daf 66\r\n/m/0drh4d,Renault talisman\r\n/m/0drhdd,Leninade\r\n/m/0drh_,Origami\r\n/m/0drl0f,Seatrout\r\n/m/0drl9k,Amancae\r\n/m/0drlh,Dia de los muertos (day of the dead)\r\n/m/0drnw4,Bikejoring\r\n/m/0drv1h,Mount scenery\r\n/m/0drvx2,Old monk\r\n/m/0drw6n_,Daun ubi tumbuk\r\n/m/0drxhld,Nurol ejder\r\n/m/0ds12q7,Sapindus saponaria\r\n/m/0ds1tfp,Ghanta\r\n/m/0ds291,Eastern Musk Turtle\r\n/m/0ds2vd6,Inline skating\r\n/m/0ds3xvb,Banana cue\r\n/m/0ds4250,Groom\r\n/m/0ds4tv4,Pastis henri bardouin\r\n/m/0ds4x,Hairstyle\r\n/m/0ds5b,Facial hair\r\n/m/0ds5x1,Magyar agár\r\n/m/0ds61d1,Cut flowers\r\n/m/0ds61fb,Batagor\r\n/m/0ds7cq,Apalone\r\n/m/0ds99lh,Fun\r\n/m/0ds9skb,Capuns\r\n/m/0dsc008,Place card\r\n/m/0dsc799,Shikanjvi\r\n/m/0dscjg,Mg l-type magna\r\n/m/0dsdg3_,Czech handball\r\n/m/0dsdk_d,English whisky\r\n/m/0dsdqgv,Vispipuuro\r\n/m/0dsf0c9,Turn\r\n/m/0dsf4fq,Bakso\r\n/m/0dshhx,Frostie root beer\r\n/m/0dshv_,Padel\r\n/m/0dshxs,Canjica\r\n/m/0dsjfd,Dornier do 31\r\n/m/0dsmxd,Moskovskaya\r\n/m/0dsnmx,Power hockey\r\n/m/0d_snrp,Practice chanter\r\n/m/0dszd7,Biribol\r\n/m/0dt0yv,Jachnun\r\n/m/0dt23n,Borassus flabellifer\r\n/m/0dt3t,Fork\r\n/m/0dt455,Mongolian food\r\n/m/0dt9xj,Windflower\r\n/m/0dtc__,Peugeot 908 hdi fap\r\n/m/0dtf_v,Lesser earless lizard\r\n/m/0dthp,Rosh Hashana\r\n/m/0dtln,Lamp\r\n/m/0dtn7s,Map turtle\r\n/m/0d_t_q,Holden vz commodore\r\n/m/0dtrfw,Avena\r\n/m/0dtv1f,Peugeot 905\r\n/m/0d_tyn,Cheonggukjang\r\n/m/0dv0b7,Summer squash\r\n/m/0dv27g,Blueberry pie\r\n/m/0dv2dr,Ladder golf\r\n/m/0dv34,Baking\r\n/m/0dv3j,Boiling\r\n/m/0dv3zf,Game boy\r\n/m/0dv5r,Camera\r\n/m/0dv6r,Squash\r\n/m/0dv77,Squash\r\n/m/0dv8l3,Slush\r\n/m/0dv9c,Racket\r\n/m/0dvg9,Ancient roman architecture\r\n/m/0dvh9,Classical architecture\r\n/m/0dvh_,Morris dance\r\n/m/0dvplh,Platecarpus\r\n/m/0dvr_q,Microseris lanceolata\r\n/m/0dvsdw,Brook sucker\r\n/m/0dvvc,Desktop computer\r\n/m/0dvy1m,Ford th!nk\r\n/m/0dvz2w,Chrysler 180\r\n/m/0dw26w,Barren ground Caribou\r\n/m/0dw7n,Digital camera\r\n/m/0dw7zw,Syrena bosto\r\n/m/0dw9f6,Creative arts\r\n/m/0dwgb,Orange juice\r\n/m/0dwhgf,Toilet brush\r\n/m/0dwhh4,Colorado Hairstreak Butterfly\r\n/m/0dw_m,Brunch\r\n/m/0dwn8,Pickled cucumber\r\n/m/0dwpk,Seasoning\r\n/m/0dwpy,Marination\r\n/m/0dwq1v,Wedding ring cushion\r\n/m/0dwr4,Xylophone\r\n/m/0dwrb_,Taco soup\r\n/m/0dwrdq,Fuel line\r\n/m/0dwrz,Braising\r\n/m/0dwsp,Marimba\r\n/m/0dwt5,Vibraphone\r\n/m/0dwtp,Glockenspiel\r\n/m/0dwvl,Celesta\r\n/m/0dwx7,Logo\r\n/m/0dwxr,Modern pentathlon\r\n/m/0dwysm,Wine cellar\r\n/m/0d_x0p,Dopiaza\r\n/m/0dx0vp,Formula libre\r\n/m/0dx1j,Town\r\n/m/0dx417,Kutiyapi\r\n/m/0dx4k5,English marigold\r\n/m/0dx88y,Canis panther\r\n/m/0dx8hy,Florida Softshell Turtle\r\n/m/0dxb5,Berry\r\n/m/0dxjn,Deep frying\r\n/m/0dxkr,Pan frying\r\n/m/0dxlf,Grilling\r\n/m/0dxn2,Roasting\r\n/m/0dxnmb,Surface water sports\r\n/m/0dxnxn,Semifreddo\r\n/m/0dxpsn,Hoary bat\r\n/m/0dxqz7,Strawberry pie\r\n/m/0dxr0,Stir frying\r\n/m/0dxrf,Frying\r\n/m/0dxsnk,Crock\r\n/m/0dxtw,Special effects\r\n/m/0d_xzc,Apatura\r\n/m/0dy48d,Meat cutter\r\n/m/0dy4cv,Beefeater gin\r\n/m/0d_y8t,Hyundai aero town\r\n/m/0dy9cb,Daimler sp250\r\n/m/0dy_9x,Streuselkuchen\r\n/m/0dyc53,Fishcake\r\n/m/0dyh0d,Kalathappam\r\n/m/0d_yh2,Hyundai super truck\r\n/m/0dyqf_,Paskha\r\n/m/0dyqz9,Ferrari 340\r\n/m/0dy_rs,Daimler majestic major\r\n/m/0dytr,Naval ship\r\n/m/0dyv5,Q-ship\r\n/m/0dywgn,Western pond turtle\r\n/m/0dyx3,Boeing b-29 superfortress\r\n/m/0dyxqq,Shish taouk\r\n/m/0dz0lt,Tyrolean speck\r\n/m/0dz0r1,Yukhoe\r\n/m/0dz3r8,Fruit syrup\r\n/m/0dz3r,Record producer\r\n/m/0dz8tg,Plains Spadefoot\r\n/m/0dz96,Magician\r\n/m/0dz9l,Magic\r\n/m/0dzb2,Vein\r\n/m/0dzcqd,Acarajé\r\n/m/0dzct,Face\r\n/m/0dzd2h,Vatapá\r\n/m/0dzd8,Neck\r\n/m/0dzdms,Yellow garden spider\r\n/m/0dzdr,Chest\r\n/m/0dzf4,Arm\r\n/m/0dzgw5,Segway polo\n/m/0dzh1q,Crawfish Frog\r\n/m/0dzjls,Giant pacific octopus\r\n/m/0dzlbx,Iron Man\r\n/m/0dzp9m,Limenitis\r\n/m/0dzr2d,Sannakji\r\n/m/0dzrsv,Tx1\r\n/m/0dzwg,Santalales\r\n/m/0dz_x9,Glacier cave\r\n/m/0dzxvn,Bubur kacang hijau\r\n/m/0dzxxc,Dried and salted cod\r\n/m/0dzylc,Paurotis Palm\r\n/m/0f010_,Monjayaki\r\n/m/0f03z5,Rambler marlin\r\n/m/0f04q0,Bungeoppang\r\n/m/0f07x,Quinoa\r\n/m/0f0ch,Cinnamon\r\n/m/0f0gdw,Six lined Racerunner\r\n/m/0f0hb,Narwhal\r\n/m/0f0jjz,Pornography\r\n/m/0f0q9,Village\r\n/m/0f0qy6,Protea family\r\n/m/0f0w2,Gamecube\r\n/m/0f0wvs,Nocilla\r\n/m/0f0x2,Gruyère cheese\r\n/m/0f0xk,Limburger cheese\r\n/m/0f_10p,Scoop\r\n/m/0f115,Charadriiformes\r\n/m/0f1bg,Luke skywalker\r\n/m/0f1gc,Puffin\r\n/m/0f1h8,Auk\r\n/m/0f1mq,Dragonflies and damseflies\r\n/m/0f1pg,Peccary\r\n/m/0f1qdl,Eastern catalpa\r\n/m/0f1qpk,Maserati 200s\r\n/m/0f1q_z,Queue\r\n/m/0f1tz,Calligraphy\r\n/m/0f1vbh,Groundsnake\r\n/m/0f1ykd,Slimy Salamander\r\n/m/0f25t7,Bird food\r\n/m/0f25_t,Camellia sasanqua\r\n/m/0f25w9,Chicken meat\r\n/m/0f26z1,Jaguar xjr-14\r\n/m/0f28m,Symmetry\r\n/m/0f2b9,Champagne\r\n/m/0f2f14,Popcorn maker\r\n/m/0f2f9,Television program\r\n/m/0f2j8,Touladi\r\n/m/0f2lgf,Sole meunière\r\n/m/0f2mbx,Blue violet\r\n/m/0f2nzn,Guinness\r\n/m/0f2rmf,Sugar puffs\r\n/m/0f2vj2,Eumeces\r\n/m/0f2wgs,Mekhong\r\n/m/0f2y0,Darth vader\r\n/m/0f2_z_,Speed-ball\n/m/0f30yl,Mitsubishi dignity\r\n/m/0f32jg,Mitsubishi proudia\r\n/m/0f339h,Portuguese pointer\r\n/m/0f345s,Davidson's Plum\r\n/m/0f35r8,Tesla roadster\r\n/m/0f35w,Multi-sport event\r\n/m/0f375,Baboon\r\n/m/0f382,Fouquieria\r\n/m/0f399,Herbicide\r\n/m/0f3fd6,Steel-cut oats\r\n/m/0f3ftg,Finger lime\r\n/m/0f3k6,Colobus\r\n/m/0f3mkb,Handheld television\r\n/m/0f3_n,Madder family\r\n/m/0f3qzk,Maserati 150s\r\n/m/0f3s6,Cornales\r\n/m/0f3wg7,Banchan\r\n/m/0f3wh8,Smirk\r\n/m/0f3zmw,Banana ketchup\r\n/m/0f419z,Roti tissue\r\n/m/0f41_h,Pasembur\r\n/m/0f41s6,Mie goreng\r\n/m/0f42y,Titan arum\r\n/m/0f4345,Western hognose Snake\r\n/m/0f447,Gothic architecture\r\n/m/0f454,Rubus\r\n/m/0f45jf,Renault Étoile filante\r\n/m/0f45l,Steppe\r\n/m/0f48p,Amphitheatre\r\n/m/0f4d0q,Gazania\r\n/m/0f_4g0,Roller cone bit\r\n/m/0f4ns0,Jensen 541r\r\n/m/0f4p9,Kart racing\r\n/m/0f4s2w,Vegetable\r\n/m/0f4s6,Breadfruit\r\n/m/0f4slk,Fretsaw\r\n/m/0f4t2,Dicotyledon\r\n/m/0f531,Pudelpointer\r\n/m/0f54r,Stingray\r\n/m/0f_567,Pla ra\r\n/m/0f571,Diaper\r\n/m/0f57j,Evergreen Bagworm\r\n/m/0f5cl,Grand prix motorcycle racing\r\n/m/0f5f8,Cocoa bean\r\n/m/0f5gc_,Banana leaf rice\r\n/m/0f5gs,Reinforced concrete\r\n/m/0f5jp,Vesak\r\n/m/0f5jxq,Nasi dagang\r\n/m/0f5lx,Military aircraft\r\n/m/0f5mx3,Fiat 500\r\n/m/0f5zw,Fairy\r\n/m/0f6gb2,Gateball\r\n/m/0f6kt3,Tallow shrub\r\n/m/0f6mr,Triceratops\r\n/m/0f6nr,Unicycle\r\n/m/0f6p6,Mountain unicycling\r\n/m/0f6pl,Trolleybus\r\n/m/0f6rkr,Devil's bridge\r\n/m/0f6rw2,Fissure vent\r\n/m/0f6ry4,Packard 180\r\n/m/0f6wt,Falcon\r\n/m/0f6x8,Bird of prey\r\n/m/0f70b4,Seafood boil\r\n/m/0f72b3,Crab boil\r\n/m/0f748,Apron\r\n/m/0f_78,Paratrooper\r\n/m/0f7987,Brouwerij bosteels\r\n/m/0f7bzd,Rain barrel\r\n/m/0f7cb,Opal\r\n/m/0f7chl,Viru valge\r\n/m/0f7gf,Citric acid\r\n/m/0f7h3j,Austin 12\r\n/m/0f7kfd,Auto race\r\n/m/0f7lhk,Chevrolet townsman\r\n/m/0f7llb,Chevrolet kingswood\r\n/m/0f7mgp,Bookmark\r\n/m/0f7ps,Rc cola\r\n/m/0f7qcx,Packard super eight\r\n/m/0f7rp,Root beer\r\n/m/0f7sw,Cicada\r\n/m/0f7swz,Fårikål\r\n/m/0f7tld,Ghungroo\r\n/m/0f7vt7,Hartmann neuron\r\n/m/0f7wh3,Yellow curry\r\n/m/0f_7y7,Reactable\r\n/m/0f828h,Birkin bag\r\n/m/0f_82h,Isuzu giga\r\n/m/0f85g,Basilica\r\n/m/0f869q,Zil-112 sports\r\n/m/0f872t,Mercedes-benz 260 d\r\n/m/0f875y,Nanchang j-12\r\n/m/0f8b3l,Patra\r\n/m/0f8cd2,Rotorcraft\r\n/m/0f_8ck,Paya\r\n/m/0f8f80,Cattleya labiata\r\n/m/0f8gwm,Two-liter bottle\r\n/m/0f8_k,Termite\r\n/m/0f8s22,Chime\r\n/m/0f8sw,Cherry\r\n/m/0f8vz4,Truck racing\r\n/m/0f8w90,Chasmanthe\r\n/m/0f8ym,Amish\r\n/m/0f9400,Tofaş Şahin\r\n/m/0f969h,Oberheim ob-xa\r\n/m/0f96h,Trombonist\r\n/m/0f96x8,Cuisine classique\r\n/m/0f99t,Tonkatsu\r\n/m/0f9bbq,Georges Bank flounder\r\n/m/0f9kh,Dew\r\n/m/0f9l14,Smaland hound\r\n/m/0f9lf,Newt\r\n/m/0f9lr8,Thai fried rice\r\n/m/0f9_l,Snail\r\n/m/0f9n3,Ginger\r\n/m/0f9p0f,Greater galangal\r\n/m/0f9qdc,Cdj\r\n/m/0f9qq,Goldwasser\r\n/m/0f9rmd,Avocado oil\r\n/m/0f9s4s,Ski helmet\r\n/m/0f9svp,Dutch baby pancake\r\n/m/0f9swq,Chin\r\n/m/0f9tj,Technical drawing\r\n/m/0fb1h8,Wrestling singlet\r\n/m/0fbdb,Strawberries\r\n/m/0fbdv,Shellfish\r\n/m/0fbf1m,Terrestrial animal\r\n/m/0fbf8,Molluscs\r\n/m/0fbflw,Terrestrial plant\r\n/m/0fbg0_,Fiberfab avenger gt\r\n/m/0fbhfs,Kuding\r\n/m/0fbm_g,Slopestyle\r\n/m/0fbmp,Slaughterhouse\r\n/m/0fbrr4,Freebord\r\n/m/0fbw6,Cabbage\r\n/m/0fc1fy,Black hair\r\n/m/0fcfl0,Smooth Earth Snake\r\n/m/0fcgqx,Checkered Garter Snake\r\n/m/0fclq7,Quaker instant oatmeal\r\n/m/0fcny,Lockheed sr-71 blackbird\r\n/m/0fcp14,Shih-poo\r\n/m/0fc_rc,Manakish\r\n/m/0fczf,Nurse\r\n/m/0fd02,Registered nurse\r\n/m/0fd08g,Banded water snake\r\n/m/0fd2m,Deacon\r\n/m/0fd2tg,Toaster strudel\r\n/m/0fd4f,Postcard\r\n/m/0fd6q,Cash\r\n/m/0fdb3,Jeet kune do\r\n/m/0fdc63,Laelia albida\r\n/m/0fdd7w,Panoz roadster\r\n/m/0fdfvv,Hopper barge\r\n/m/0fdl3h,Carpe diem\r\n/m/0fdmgq,Ford fairlane 500 skyliner\r\n/m/0fdn3q,Lawn game\r\n/m/0fdy0g,Barley water\r\n/m/0ff01m,Roti john\r\n/m/0ff7dl,Fire screen\r\n/m/0ffgfm,Caucasian cuisine\r\n/m/0ffhf,Donkey\r\n/m/0ffhy,Clam\r\n/m/0ffjr,Personal protective equipment\r\n/m/0ffqsq,Pegaso z-102\r\n/m/0fg019,Eye liner\r\n/m/0fg0m,Peanut\r\n/m/0fg1yw,Oliebol\r\n/m/0fg34,Nurse uniform\r\n/m/0fg3h,School uniform\r\n/m/0fg_4r,Moka pot\r\n/m/0fg66_,Vada\r\n/m/0f_g6b,Artistic cycling\r\n/m/0fg9n8,Mud Snake\r\n/m/0fgh8v,Cesky fousek\r\n/m/0fgh9k,Facel vega facel ii\r\n/m/0fgkh,Turquoise\r\n/m/0fglr0,Coconut macaroon\r\n/m/0fg_n,Shampoo\r\n/m/0fgq8s,Cowfish\r\n/m/0fgryj,Gray snapper\r\n/m/0fgsq2,Art dealer\r\n/m/0fgvxb,Bucium\r\n/m/0fh1cm,Boeuf à la mode\r\n/m/0fh8qn,Learjet 35\r\n/m/0fh90p,Curry chicken noodles\r\n/m/0fhckn,Shotgun start\n/m/0fhrwd,Strings\r\n/m/0fhs85,Ural-375d\r\n/m/0fh_tf,Ural-4320\r\n/m/0fh_v3,Wheat germ oil\r\n/m/0fhzqd,Galvanina\r\n/m/0fj05m,Zil-157\r\n/m/0fj52s,Carrot\r\n/m/0fj8ng,Hyundai mega truck\r\n/m/0fj9bq,Western saloon\r\n/m/0fj9f,Politician\r\n/m/0fjb1g,Roller sport\r\n/m/0fjbnh,Hyundai new power truck\r\n/m/0fjfh,Capsicum\r\n/m/0fjgg,Black rat\r\n/m/0fjhjd,Zil 131\r\n/m/0fjjtq,Vienna horn\r\n/m/0fjk1q,Chery a11\r\n/m/0fjkt,Tongue\r\n/m/0fjmjf,Polish boy\r\n/m/0fjn8,Han solo\r\n/m/0fjqh,Northrop grumman e-2 hawkeye\r\n/m/0fjs0v,Studio monitor\r\n/m/0fjt2,Bandana\r\n/m/0fjy1,Wildfire\r\n/m/0fk2v,Sorghum\r\n/m/0fkbys,Punchball\r\n/m/0fkdq,Ophthalmology\r\n/m/0fkfk,Chewbacca\r\n/m/0fkjv,Sugarcane\r\n/m/0fkl00,Hyundai mighty\r\n/m/0fkl45,Digital photo frame\r\n/m/0fklh,Memorial day\r\n/m/0fkm7,Obi-wan kenobi\r\n/m/0fknp4,Sorrel soup\r\n/m/0fkpqk,Ting\r\n/m/0fkqd,Linen\r\n/m/0fkqzb,Morris commercial j4\r\n/m/0fkrk,Grass family\r\n/m/0fkrws,Morris commercial j-type\r\n/m/0fktr,Dairy\r\n/m/0fkvtb,Dodge 330\r\n/m/0fkw0y,Motorized scooter\r\n/m/0fkw3,Flour\r\n/m/0fkwjg,Commercial vehicle\r\n/m/0fkxq5,Vuvuzela\r\n/m/0fky4v,Casa noble\r\n/m/0fl3p,Rhubarb\r\n/m/0fl887,Braque du bourbonnais\r\n/m/0fl9gg,Thor\r\n/m/0flc32,Renault sherpa 2\r\n/m/0fldg,Mango\r\n/m/0flfpd,Evening stock\r\n/m/0flg6,Root\r\n/m/0flgl2,Volkswagen tiguan\r\n/m/0flk99,See-through clothing\r\n/m/0fll5p,Coca-cola light sango\r\n/m/0flqc7,Bocconcini\r\n/m/0flsmt,Bolillo\r\n/m/0f_lsn,Toyota rsc\r\n/m/0flt3t,Mollete\r\n/m/0fly7,Jeans\r\n/m/0fm0p,Yuca\r\n/m/0fm3zh,Flowerpot\r\n/m/0fm5y3,Renault samsung sm3\r\n/m/0f_m6,Coatimundi\r\n/m/0fmcx_,Crane vessel (floating)\r\n/m/0fmgyw,Hooded skunk\r\n/m/0fmh8s,Hard-leaved pocket orchid\r\n/m/0fmnf5,Compact van\r\n/m/0fmrlk,Dolichopodidae\r\n/m/0fmt3x,Breakfast roll\r\n/m/0fmtd,Puppet\r\n/m/0fmwsq,Caldeirada\r\n/m/0fmxvb,Opel kapitän\r\n/m/0fmxwd,Ferrari 159 s\r\n/m/0fmzb3,Trip computer\r\n/m/0fn3z,Calamondin\r\n/m/0fn4p7,Nasa ad-1\r\n/m/0fn6pt,Phyllobates\r\n/m/0fncmx,Tenori-on\r\n/m/0fnfql,Ajika\r\n/m/0fnfy,Apricot\r\n/m/0fnm6j,Honduran cuisine\r\n/m/0fnnk8,Moskvitch\n/m/0fnpgr,Hericium erinaceus\r\n/m/0fnpj,Keyboard player\r\n/m/0fnqb,Clarinetist\r\n/m/0fnrbc,Solar panel\r\n/m/0fnxj,Quarterstaff\r\n/m/0fny9n,Yaksik\r\n/m/0fp5h,Plum\r\n/m/0fp5sh,Okinawan cuisine\r\n/m/0fp6w,Pineapple\r\n/m/0fp7c,Hawk\r\n/m/0fpdgl,Human settlement\r\n/m/0fpgyk1,Punched pocket\r\n/m/0fphgp,Planer\r\n/m/0fpj8mm,Mysida\r\n/m/0fpjlj9,Garden roses\r\n/m/0fpjpt,Lacustrine plain\r\n/m/0fpp0g,Monoskiing\r\n/m/0fppz4,Sweet potato pie\r\n/m/0fp_sx,Ferrari 195 s\r\n/m/0fptkh,Dewoitine d.371\r\n/m/0fpzxm,Ferrari 166 inter\r\n/m/0fq04wx,Tadpole\r\n/m/0fq05ym,Tesla model x\r\n/m/0fq0crf,Club chair\r\n/m/0fq0fnf,Plank\r\n/m/0fq0t_c,Music artist\r\n/m/0fq14m2,Banana powder\r\n/m/0fq15,European robin\r\n/m/0fq1l67,Crawling\r\n/m/0fq1zm,Pie and peas\r\n/m/0fq22vb,Exhibition\r\n/m/0fq2bn9,Northern Checkerspot\r\n/m/0fq9h1,Fiberfab valkyrie\r\n/m/0fqd9j,Lei cha\r\n/m/0fqfqc,Drawer\r\n/m/0fq_j,Nunchaku\r\n/m/0fqkc_,Bokator\r\n/m/0fql0,Taro\r\n/m/0fqlj,Lettuce\r\n/m/0fqm_,Dessert wine\r\n/m/0fq_pr,Jon boat\r\n/m/0fqq_84,Playstation vita\r\n/m/0fqrt41,Yaka mein\r\n/m/0fqt361,Stool\r\n/m/0fqtq,Chickpea\r\n/m/0fr19,Dandelion\r\n/m/0fr81,Tgv\r\n/m/0fr_mv,Vierendeel bridge\r\n/m/0frq6,Pork\r\n/m/0frqg3,Basketball\r\n/m/0frqm,Envelope\r\n/m/0frrt7,Ferrari monza\r\n/m/0f_rsr,Holden vy commodore\r\n/m/0frtt,Geranium\r\n/m/0frv7,Geranium cinereum\r\n/m/0frzhw,Soy egg\r\n/m/0fs0gh,Juniper berry\r\n/m/0fs4v1,Puliyogare\r\n/m/0fs5bd,Movax\r\n/m/0fs5q7,Rolls-royce 20/25\r\n/m/0fs6v,Rambutan\r\n/m/0fs7v0,Mexican petunia\r\n/m/0fs81,Przewalski's horse\r\n/m/0fs8kq,Cottage hospital\r\n/m/0fs90,Drupe\r\n/m/0fsbk0,Health care provider\r\n/m/0fsbr,Tapioca\r\n/m/0fscp,Sago\r\n/m/0fsdks,Laulau\r\n/m/0fsg8,Harrier\r\n/m/0fshs,Fawn lily\r\n/m/0fsj4,Erythronium 'pagoda'\r\n/m/0fsjh,Antler\r\n/m/0fsl8,Einkorn wheat\r\n/m/0fsnf,Nematode\r\n/m/0fs_r1,Daimler ds420\r\n/m/0fss11,Mercury cyclone\r\n/m/0fss2f,Curtido\r\n/m/0fswb,Predation\r\n/m/0fsx5,Palm oil\r\n/m/0fszt,Cake\r\n/m/0fszvh,Tapai\r\n/m/0ft3cs,Jasione\r\n/m/0ft3n6,Burr truss\r\n/m/0ft9s,Dragonfly\r\n/m/0ftb8,Sunflower\r\n/m/0ftbs,Blueberry\r\n/m/0ftdwy,Footprint\r\n/m/0ftf13,Playset\r\n/m/0ftjdm,Mitsubishi freeca\r\n/m/0ftjv8,Bolwell nagari\r\n/m/0ftqq9,Holden ve commodore\r\n/m/0ftx68,Scottish cuisine\r\n/m/0fv5b6,Fiat turbina\r\n/m/0fv_c6,Dubonnet\r\n/m/0fvfk_,Tracking trial\r\n/m/0fvj76,American aspen\r\n/m/0fvjds,New Mexico maple\r\n/m/0fvjp2,Fiat 1400\r\n/m/0fvjvr,Fiat 2800\r\n/m/0fvld_,Cuchifritos\r\n/m/0fvmpz,Fiat 509\r\n/m/0fvndp,Fiat 2300\r\n/m/0fvxl2,Noble m15\r\n/m/0fw68,Soap\r\n/m/0fw86,Tap dance\r\n/m/0fw8bz,Fiat 514\r\n/m/0fw8g3,Fiat 518\r\n/m/0fw96y,Sargassumfish\r\n/m/0fw9d,Fig\r\n/m/0fwd9h,Caramel shortbread\r\n/m/0fx65,Gentiana\r\n/m/0fx6n,Stemless gentian\r\n/m/0fx72,Airship\r\n/m/0fx7_,Good friday\r\n/m/0fx80y,Plucked string instruments\r\n/m/0fx9k9,Mitsubishi galant gto\r\n/m/0fx9l,Microwave oven\r\n/m/0fxd6v,Pygmy slow loris\r\n/m/0fxhn,Bromeliaceae\r\n/m/0fxkgr,Toyota ae85\r\n/m/0fxnhn,Perro de presa mallorquin\r\n/m/0fxnkq,Moscow watchdog\r\n/m/0fxztn,Team penning\r\n/m/0fy1y1,Elaeagnus multiflora\r\n/m/0fy4lk,Bellini\r\n/m/0fy5b,Cossacks\r\n/m/0fy6g_,Party bike\r\n/m/0fy6hp,Armrest\r\n/m/0fy6nv,Head restraint\r\n/m/0f__y6,Red cooking\r\n/m/0fy8cb,Short ribs\r\n/m/0fy8r0,Center console\r\n/m/0fy9k,Pride parade\r\n/m/0fy9p2,Mane\r\n/m/0fyd3,Freckle\r\n/m/0fydkd,Araneus cavaticus\r\n/m/0fykzy,Autobianchi a111\r\n/m/0fypwt,Lynchburg lemonade\r\n/m/0fyrdj,Vaccinium arboreum\r\n/m/0fyw9s,Fried onion\r\n/m/0fy__,Wax\r\n/m/0fywjk,Jig grinder\r\n/m/0fz0h,Honeycomb\r\n/m/0fz0z,Honeybee\r\n/m/0fz45h,Plum pine\r\n/m/0fz4cp,Riberry\r\n/m/0fz4q,Louse\r\n/m/0fz4zl,Dogo guatemalteco\r\n/m/0fz53g,Broholmer\r\n/m/0fz5cq,Autobianchi stellina\r\n/m/0fzb8x,Bracco italiano\r\n/m/0fzqss,Cichla\r\n/m/0fzyg,Aviation\r\n/m/0fzz6j,Isuzu forward\r\n/m/0f_zzx,Volvo pv51-57\r\n/m/0g02dr,Toyota isis\r\n/m/0g02q,Courthouse\r\n/m/0g03wb,Toyota porte\r\n/m/0g03wp,Toyota succeed\r\n/m/0g03x0,Toyota probox\r\n/m/0g03yf,Toyota sienta\r\n/m/0g03z3,Toyota brevis\r\n/m/0g0566,Diamond da42\r\n/m/0g07j,Baklava\r\n/m/0g0c5q,Chrysler atlantic\r\n/m/0g0dy,Strait\r\n/m/0g0rch,Danish swedish farmdog\r\n/m/0g0vg,Aggression\r\n/m/0g0vx,Farmer\r\n/m/0g0y_,Sunflower seed\r\n/m/0g0zc,Water buffalo\r\n/m/0g12jb,Nissan civilian\r\n/m/0g13ls,Hyundai county\r\n/m/0g154l,Pocosin\r\n/m/0g1b_t,Limnephilidae\r\n/m/0g1bxp,Leptidea\r\n/m/0g1f46,Coffee substitute\r\n/m/0g1fdw,Pork loin\r\n/m/0g1kn,Molasses\r\n/m/0g1pf,Teff\r\n/m/0g22xs,Ivory\r\n/m/0g23wx,Indian passport\r\n/m/0g244,Osage orange\r\n/m/0g24k,Sugar substitute\r\n/m/0g25k,Cedar\r\n/m/0g27n,Resin\r\n/m/0g2bbv,Cowboy beans\r\n/m/0g2bc,Drone\r\n/m/0g2d3,Serpent\r\n/m/0g2dz,Melodica\r\n/m/0g2ff,Concertina\r\n/m/0g2f_s,Vorschmack\r\n/m/0g2k1,Natural disaster\r\n/m/0g2kpf,Mcmuffin\r\n/m/0g2lsc,Nissan diesel quon\r\n/m/0g2mh3,Nissan diesel condor\r\n/m/0g2n9c,Lor mee\r\n/m/0g2rqf,Triumph roadster\r\n/m/0g2vc,Observatory\r\n/m/0g2x4,Reed\r\n/m/0g2xhp,Toyota motor triathlon race car\r\n/m/0g2z8,Fog\r\n/m/0g2zmg,Saddle\r\n/m/0g35rh,Lotus 23\r\n/m/0g37rz,Spectre r42\r\n/m/0g38pq,Pancit malabon\r\n/m/0g3bk3,Hyundai veracruz\r\n/m/0g3dv,Akita inu\r\n/m/0g3n24,Nissan hypermini\r\n/m/0g3nfj,Sea captain\r\n/m/0g3nz3,Sea aster\r\n/m/0g_3r,Siamese\r\n/m/0g3t4n,Pallet jack\r\n/m/0g3wm,Cassowary\r\n/m/0g42sd,Chilean rodeo\r\n/m/0g44q5,Malasada\r\n/m/0g46r,Customs\r\n/m/0g4cd0,Tabby cat\r\n/m/0g4fr,Papaya\r\n/m/0g4k1g,Simca vedette\r\n/m/0g4pl,Mbira\r\n/m/0g4q3r,Spare ribs\r\n/m/0g50gv,Audi coupé\r\n/m/0g52fl,Desert lime\n/m/0g53cct,Lamborghini aventador\r\n/m/0g53dy3,Inka\r\n/m/0g54stn,Pine White\r\n/m/0g54v5d,Military vehicle\r\n/m/0g55dfz,Savoy cabbage\r\n/m/0g57fyh,Small northern bog orchid\r\n/m/0g57nsf,Chelonoidis\r\n/m/0g59stb,Treibball\r\n/m/0g59y7,Neer dosa\r\n/m/0g5brx,Backhousia myrtifolia\r\n/m/0g5m_y,Colomba di pasqua\r\n/m/0g5pw87,Bibingka\r\n/m/0g5pzh_,Saba banana\r\n/m/0g5q9qw,Bomb shot\r\n/m/0g5qb5_,Otamatone\r\n/m/0g5r2l8,Lasiommata megera\r\n/m/0g5rn36,Kkultarae\n/m/0g5s7,Pea\r\n/m/0g5sb8j,Pin-back button\r\n/m/0g5t67z,Githeri\r\n/m/0g5z7f,Ford c-series\r\n/m/0g60ff,Manta mirage\r\n/m/0g61v,Spanish missions in california\r\n/m/0g65_,Adventure game\r\n/m/0g678v,Tafelspitz\r\n/m/0g69j1,Ploye\r\n/m/0g6b5,Fireworks\r\n/m/0g6cxh,Qvale mangusta\r\n/m/0g6dw1,Ford vedette\r\n/m/0g6hmn,Simca ariane\r\n/m/0g6yn,Pledge of allegiance\r\n/m/0g71w,Disc brake\r\n/m/0g74j1,Austin kimberley\r\n/m/0g7961,Canjica\r\n/m/0g7dk,Crocus\r\n/m/0g7fqt,Split pea\r\n/m/0g7kcd,Curing\r\n/m/0g7kq4,Israeli passport\r\n/m/0g7my,Superbike racing\r\n/m/0g7pjm,Mazda cx-5\r\n/m/0g7v8f,Bicycle saddle\r\n/m/0g7vq,Fetish model\r\n/m/0g7xf,Broom\r\n/m/0g7zz1,Malawach\r\n/m/0g83r6,Fringed polygala\r\n/m/0g84nh,Lighthouse keeper\r\n/m/0g88bf,South african passport\r\n/m/0g8cpb,Honda civic gx\r\n/m/0g8dtg,Very large floating structure\r\n/m/0g8g8q,Eupomatia laurina\r\n/m/0g8n6t1,Stevia rebaudiana\r\n/m/0g8ncfr,Julia child rose\r\n/m/0g8p9,Farm\r\n/m/0g8wqj,Sayur asem\r\n/m/0g8zzm,Land windsurfing\r\n/m/0g91zf,Liquid bubble\r\n/m/0g97tv,Bush bread\r\n/m/0g9chh,Daimler majestic\r\n/m/0g9ctt,Leopard's bane\r\n/m/0g9fr1,Nikuman\r\n/m/0g9ky,Wallflower\r\n/m/0g9lh8,Fishing float\r\n/m/0g9lp,Pheasant\r\n/m/0g9n5w,Wings\r\n/m/0g9q4k,Simca 1300/1500\r\n/m/0g9q69,Cozido\r\n/m/0g9t3r,Syzygium malaccense\r\n/m/0g9vs81,Steamed rice\r\n/m/0g9wjzr,Egyptian temple\r\n/m/0g9x5c5,Chevrolet cosworth vega\r\n/m/0g9x9pj,Big hole bead\r\n/m/0g9xsry,Pagani huayra\r\n/m/0g9yjp0,Solar vehicle\r\n/m/0g9zf05,Bun cha\r\n/m/0g9zwhj,Types of volcanic eruptions\r\n/m/0gb8c,Monkshood\r\n/m/0gbbt,Bassist\r\n/m/0gbnk8,Toad lily\r\n/m/0gbprb,Matra bagheera\r\n/m/0gbxf2,Harbin y-11\r\n/m/0gc2g1,American painted lady\r\n/m/0gc319,Caipiroska\r\n/m/0gccln,Ford model a\r\n/m/0gccmf,Ford model a\r\n/m/0gcddm,Ford model b\r\n/m/0gcfml,Water Oak\r\n/m/0gcg14,Ford model 48\r\n/m/0gcjz1,Armenian food\r\n/m/0gcr65,National grandparents day\r\n/m/0gcrw,Sichuan pepper\r\n/m/0gcwv3,Veratrum\r\n/m/0gcy3w,1937 ford\r\n/m/0gd00,Dugong\r\n/m/0gd0jz,Opel admiral\r\n/m/0gd1z,California sea lion\r\n/m/0gd2v,Marine mammal\r\n/m/0gd36,Sea lion\r\n/m/0gd3n,Seal\r\n/m/0gd6f,Fountain pen\r\n/m/0g_d7,Bodhrán\r\n/m/0gdb1,Steller sea lion\r\n/m/0gdb_d,Simca aronde\r\n/m/0gdhl_,Daihatsu rugger\r\n/m/0gdk70,Opel super 6\r\n/m/0gdr8g,Plus-size model\r\n/m/0gdsj,Aioli\r\n/m/0gdt_0,Kapeng barako\r\n/m/0gdt0z,Hawkweed\r\n/m/0gdtzb,Rhododendron catawbiense\r\n/m/0gdwky,Hime cut\r\n/m/0gd_ym,Powered hang glider\r\n/m/0gf3j2,Big leaved aster\r\n/m/0gf607,Matra rancho\r\n/m/0gf63c,Toyota progrès\r\n/m/0gf756,Pambazo\r\n/m/0gf778,Segugio italiano\r\n/m/0gfddys,Imarti\r\n/m/0gffmbc,Pink peppercorn\r\n/m/0gffqb,Dinuguan\r\n/m/0gfg3cq,Energy gel\r\n/m/0gfgrpc,Makeup brushes\r\n/m/0gfgss9,Snow boot\r\n/m/0gfhhzc,Bacon jam\r\n/m/0gfj96l,Mixing engineer\r\n/m/0gfk5,Pinball\r\n/m/0gfxd,Planetarium\r\n/m/0g_fz2,Paleta frontón\r\n/m/0gg4m8r,Acne treatment\r\n/m/0gg4z0q,Maya city\r\n/m/0gg5gn,Black pepper crab\r\n/m/0gg6q3s,Queso flameado\r\n/m/0gg6x_,Rover p3\r\n/m/0gg7_2r,Handpan\r\n/m/0gg8brk,Water bird\r\n/m/0gg8wgx,Maiko\r\n/m/0gg998y,Caribbean Electric Ray\r\n/m/0ggcgp,Corybas\r\n/m/0ggg4g,Yatsuhashi\r\n/m/0gggmj,Mush\r\n/m/0ggjh31,Drill presses\r\n/m/0ggjh44,Heat guns\r\n/m/0ggjh_8,Cameras & optics\r\n/m/0ggjl1t,Marking tools\r\n/m/0ggjm8j,Paint tools\r\n/m/0ggjp66,Tool belts\r\n/m/0ggjrhd,Flower Arranging\r\n/m/0ggjxk4,Reciprocating saws\r\n/m/0ggjxqm,Mitre saws\r\n/m/0ggjy58,Bandsaws\r\n/m/0ggjyd1,Chainsaws\r\n/m/0ggjz2l,Table saws\r\n/m/0ggk014,Tool storage & organization\r\n/m/0ggk1v7,Nuts & seeds\r\n/m/0ggk3_t,Health & beauty\r\n/m/0ggk6ps,Shaving and grooming\r\n/m/0ggm4tq,Ground black pepper\r\n/m/0ggm5f8,Stewed tomatoes\r\n/m/0ggm5g2,Dried thyme\r\n/m/0ggm5j8,Cinnamon stick\r\n/m/0ggnq,Peripheral\r\n/m/0ggq0m,Classical music\r\n/m/0ggr_,Collectable\r\n/m/0ggw1_,Black and white cookie\r\n/m/0ggwx,Packrats\r\n/m/0ggxrf,Ford quadricycle\r\n/m/0gh29v,Rosa sericea\r\n/m/0g_h2,Clap skate\r\n/m/0gh346,Rosa omeiensis\r\n/m/0gh38,Fennec fox\r\n/m/0gh46s,Tahltan bear dog\r\n/m/0gh6nsc,Common zinnia\r\n/m/0gh7hc0,Sea snail\r\n/m/0gh7tdf,Aston martin amr-one\r\n/m/0gh8lsh,Snowball\r\n/m/0ghbll_,Pinto Beans\r\n/m/0ghbxf,Fregula\r\n/m/0ghl5h,Punjena paprika\r\n/m/0ghngc,Gilia\r\n/m/0ghpy,Boulder\r\n/m/0ghr_m4,Concertmaster\r\n/m/0ghttwn,Goose island bourbon county stout\r\n/m/0ghvp,Remembrance day\r\n/m/0gj37,Ladybug\r\n/m/0gj68,Pistacia lentiscus\r\n/m/0gj9dyh,Food spoilage\r\n/m/0gj9rzv,Cordon bleu\r\n/m/0gj9vcf,Rebujito\r\n/m/0gjbg72,Shelf\r\n/m/0gjbjfw,Oenothera macrocarpa\r\n/m/0gjbrsn,Hard candy\r\n/m/0gjbv4m,Aluminum can\r\n/m/0gjc5rh,Mylitta Crescent\r\n/m/0gjcc7f,Remembrance poppy\r\n/m/0gjd3gs,Mango pickle\r\n/m/0gjd_63,Greenling\r\n/m/0gjdcrn,Rosa nitida\r\n/m/0gjf4yy,Kaempferia rotunda\r\n/m/0gjfy8,Granite dome\r\n/m/0gjkl,Watch\r\n/m/0gjm7,Surveyor\r\n/m/0gjnf,Carp\r\n/m/0gjng8,Dadiah\r\n/m/0gjp9x,Belarusian passport\r\n/m/0gjrl,Common carp\r\n/m/0gjwxv,Military organization\r\n/m/0gjxqj,Bangs\r\n/m/0gjy9m,Nissan serena\r\n/m/0gjyk,Phenomenon\r\n/m/0g_k0,Mass production\r\n/m/0gk0z,Cardamom\r\n/m/0gk3_,Ortolan bunting\r\n/m/0gk49c,Glaze\r\n/m/0gk9v,Firefly\r\n/m/0gkc82,Wakesurfing\r\n/m/0gkf18,Chhena poda\n/m/0gkglg,Çiğ köfte\r\n/m/0gk__l0,Semur\r\n/m/0gkl3q,Chionanthus\r\n/m/0gkwsk,Baked ziti\r\n/m/0gkx92,Pom-pom\r\n/m/0gkx9gl,Mexican martini\r\n/m/0gkxv1m,Skim Milk\r\n/m/0gkxy13,Handwriting\r\n/m/0gkyxst,Lu'an melon seed tea\r\n/m/0gkzvnl,Ascension day\r\n/m/0gl2ny2,Football player\r\n/m/0gl3jh5,Turkey meat\r\n/m/0gl3_vx,Ostrich meat\r\n/m/0gl400z,Quail meat\r\n/m/0gl_7f,Spring crocus\r\n/m/0gl8r,Red bull\r\n/m/0gl998,Zenn\r\n/m/0gl_d9,1952 ford\r\n/m/0glmwd6,Communication Device\r\n/m/0glpyfq,Battle gaming\r\n/m/0glqmvz,Volcanologist\r\n/m/0glqr2d,Saksang\r\n/m/0glqxl8,Argynnis\r\n/m/0glqzvv,Koenigsegg agera r\r\n/m/0glrjkc,Kronum\r\n/m/0gls6tt,Wii u\r\n/m/0glsg7x,Tulipa tarda\r\n/m/0glt2mn,Cocchi americano\r\n/m/0glt670,Hip hop music\r\n/m/0glx6m,Austin k2/y\r\n/m/0glxvb,1941 ford\r\n/m/0glyd8,1949 ford\r\n/m/0gm02k,1955 ford\r\n/m/0gm1g3,1957 ford\r\n/m/0gm1vc,Ford fairlane crown victoria skyliner\r\n/m/0gm27f,Ford crestline skyliner\r\n/m/0gm28,Candy\r\n/m/0gm3m,Filling station\r\n/m/0gm3sd,1960 ford\r\n/m/0gm43,Lotus seven\r\n/m/0gm56,Kit car\r\n/m/0gm8670,Planking\r\n/m/0gm8sw,Striped squill\r\n/m/0gm9rrs,Weightlifter\r\n/m/0gmbxbs,Papeda\r\n/m/0gmc028,Spray\r\n/m/0gmc617,Honda odyssey\r\n/m/0gmd28n,Paniki\r\n/m/0gmd5dp,Sel gris\r\n/m/0gmdljw,Lobster sauce\r\n/m/0gmf8q,Cemita\r\n/m/0gmfsmt,Chickasaw plum\r\n/m/0gmfzqx,Hazel alder\r\n/m/0gmg0c,Sugar pie\r\n/m/0gmgj2r,Bajigur\r\n/m/0gmhfn,Jack and coke\r\n/m/0gmhs_,Mogul skii\r\n/m/0gmj91,Maserati birdcage 75th\r\n/m/0gmk33,Fiori\n/m/0gmk4,Mosaic\r\n/m/0gmmvw,Bathukamma\r\n/m/0gms8,Lightning\r\n/m/0gn256,Chinese chongqing dog\r\n/m/0gn3qc,Ramos gin fizz\r\n/m/0gnd31,Beef tongue\r\n/m/0gndbz,Beef brain\n/m/0gn_f,Spiral\r\n/m/0g_npb,Pachadi\r\n/m/0gnx_,Black swan\r\n/m/0gp163,Renault nn\r\n/m/0gp1g5,Renault vivastella\r\n/m/0gp1z0,Renault voiturette\r\n/m/0gp2bs,Maadal\r\n/m/0gpbd,Spiderwort\r\n/m/0gpcvn,Nissan r390 gt1\r\n/m/0gpg2w,Tiffin\r\n/m/0gphrj,Fuki\r\n/m/0gpm9z,Grasshopper\r\n/m/0gpn1q,Match poplar\r\n/m/0gprh3,Ulam raja\r\n/m/0gpxq,Zaminkand\r\n/m/0gpxs1,Ssangyong kyron\r\n/m/0gq1_q,Hoppy\r\n/m/0gq4wd,Webbing clothes moth\r\n/m/0gq7n,Aye-aye\r\n/m/0gq9q0,Butter pie\r\n/m/0gqbt,Shrub\r\n/m/0gqfbh,Escamol\r\n/m/0gqnq8,Mancha manteles\r\n/m/0gr4b6,Closed blue gentian\r\n/m/0grfz,Spurge\r\n/m/0g_rg,R2-d2\r\n/m/0grl_,Château\r\n/m/0grq0,Mayonnaise\r\n/m/0grqz,Sauces\r\n/m/0grry,Barbecue sauce\r\n/m/0grspb,Puli kali\r\n/m/0grtl,Steak\r\n/m/0grvb,Salad bar\r\n/m/0grvfm,Timple\r\n/m/0grw1,Salad\r\n/m/0gry7,Mikoyan-gurevich mig-21\r\n/m/0gs1r9,Cotoletta\r\n/m/0gs32y,Land lot\r\n/m/0gs3g,Trilobite\r\n/m/0gs5nc,Volkswagen derby\r\n/m/0gs9fc,Renault taxi de la marne\r\n/m/0gs9wk,Renault monasix\r\n/m/0gsjwf,Beyti kebab\r\n/m/0gsmdt,Belt grinding\r\n/m/0gsrg6,Maida flour\r\n/m/0gsrgx,Showy Tick trefoil\r\n/m/0gsv4q,Medical radiography\r\n/m/0gsv8r,Jasione montana\r\n/m/0g_sv,C-3po\r\n/m/0gswqk,Kilkenny\r\n/m/0gt3j8,Renault primaquatre\r\n/m/0gt4l,Private investigator\r\n/m/0gt4z,Security guard\r\n/m/0gt5n2,Cretan hound\r\n/m/0gt6_k,Swedish cowhorn\r\n/m/0gt7nx,Kuchi\r\n/m/0g_tb,Yoda\r\n/m/0gtcd,Custard\r\n/m/0gtct,Soy sauce\r\n/m/0gtdm,Condiment\r\n/m/0gtf0,Morning glory family\r\n/m/0gtglt,Citroën c-métisse\r\n/m/0gtgr,Rotifer\r\n/m/0gth6,Trifle\r\n/m/0gtjj2,Austin 8\r\n/m/0gtl50,Biscuter pegasin\r\n/m/0gtljt,Rat na\r\n/m/0gtsqc,Double dutch\r\n/m/0gtt2fm,Sapeh\r\n/m/0gtt2kt,Unicycle hockey\r\n/m/0gttn5b,Redbay\r\n/m/0gtv61j,Bandolin\r\n/m/0gtw465,Tokoroten\r\n/m/0gtwnsj,Citadelle\r\n/m/0gtxw3l,Laser guns\r\n/m/0gty6zf,Law enforcement\r\n/m/0gv0rp,Hop hornbeam\r\n/m/0gv1x,Parrot\r\n/m/0gv35,Macaw\r\n/m/0gv3n,Australian food\r\n/m/0gv6jc,Fulgura\r\n/m/0gv88,Monosodium glutamate\r\n/m/0gvc3z,Panzerotti\r\n/m/0gvcr9,Coffee ceremony\r\n/m/0gvddjf,Dado bier lager\r\n/m/0gvg1g,Ice pop\r\n/m/0gvjd5,Experimental musical instrument\r\n/m/0gvkb,Deep sea fish\r\n/m/0gvmv,Prune\r\n/m/0gvphr,Cooktown orchid\r\n/m/0gvr822,Lifejacket\r\n/m/0gvrl5w,Go-kart\r\n/m/0gvsc78,Ford focus electric\r\n/m/0gvsfcd,Lacinato kale\r\n/m/0gvss07,Combat vehicle\r\n/m/0gvvftm,Combine demolition derby\r\n/m/0gvvmf6,Napoleon cat\r\n/m/0gvx7,Pharaoh hound\r\n/m/0gw00,Lovebird\r\n/m/0gw0_,Schooner\r\n/m/0gw_1j,Welding helmet\r\n/m/0gw4_g,Renault nepta\r\n/m/0gw5n6,Building insulation\r\n/m/0gw6vd,Citroën bijou\r\n/m/0gw9c2,Pistou\r\n/m/0gwc56,Honda zest\r\n/m/0gw_clr,Ring saw\r\n/m/0gwdrw,Botamochi\r\n/m/0gwfh2,Satsuma age\r\n/m/0gwfl6,Ganmodoki\r\n/m/0gwfvz,Ebi chili\r\n/m/0gwlg1,Pit cave\r\n/m/0gwnsm,Daytona sportscar\r\n/m/0g_wpz,Zosui\r\n/m/0gw_tdr,Laal maans\r\n/m/0gwyp27,South side\r\n/m/0gwyq_,Mućkalica\r\n/m/0gwzxb1,Tzouras\r\n/m/0gx1kbl,Burro\r\n/m/0gx1rv4,Chinese restaurant\r\n/m/0gx_33p,Wrap dress\r\n/m/0gx455,Chaunk\r\n/m/0gx6bv,Pinole\r\n/m/0gxj3h,Lens cap\r\n/m/0gxk2g,Triumph italia\r\n/m/0gxl3,Handgun\r\n/m/0gxnqc,Kahwah\r\n/m/0gxnzr,Nepalese cuisine\r\n/m/0gxp6_,Mandobass\r\n/m/0gxv4l,Tropical milkweed\r\n/m/0gxvkh,South Indian cuisine\r\n/m/0gxwm0,Peanut butter cookie\r\n/m/0gxzm7l,Rosolio\r\n/m/0gy0_rk,Callophrys augustinus\r\n/m/0gy1cvb,Flake salt\r\n/m/0gy1nsj,Tokneneng\r\n/m/0gy1s78,Smallmouth Buffalo\r\n/m/0gy_2,Springtail\r\n/m/0_gy664,Bat\r\n/m/0gy7v,Guinea pig\r\n/m/0gy8s,Lincoln motor company\r\n/m/0gyc31,Mitsubishi maven\r\n/m/0gyf6q,Bk chicken fries\r\n/m/0gym69,Great rhododendron\r\n/m/0gy_q1,Sweet pepperbush\r\n/m/0gys0vh,Pink slime\r\n/m/0gys5_9,Horsetail family\r\n/m/0gyt89y,Cap cai\r\n/m/0gytcy_,Lawar\r\n/m/0gythfc,Stylist (Magazine)\r\n/m/0gytz0_,Comma\r\n/m/0gyv9,Soybean\r\n/m/0gyvmqt,Melanargia\r\n/m/0gywt9l,Powerhead\r\n/m/0gywyzk,Empal gentong\r\n/m/0gyxd6t,Suliformes\r\n/m/0gz01,Faboideae\r\n/m/0gz0j,Gordon setter\r\n/m/0gz16s,Mitsubishi pajero junior\r\n/m/0gz1d,English setter\r\n/m/0gz1v,Dingo\r\n/m/0gz2b,Australian kelpie\r\n/m/0gz5c6,Persillade\r\n/m/0gz6g,Auction\r\n/m/0gz9tt,Lemon drop\r\n/m/0gzcjz,Alphabet pasta\r\n/m/0gzhw,Burclover\r\n/m/0gzj8,Nun\r\n/m/0gzn_w,Tayberry\r\n/m/0gzrv9,Noxious weed\r\n/m/0gzs81,Takikomi gohan\r\n/m/0gzsgr,Kamameshi\r\n/m/0gzt5,Hound\r\n/m/0gzxy,Bengal\r\n/m/0gzxy_,Pasta salad\r\n/m/0gzznm,Powder\r\n/m/0gzzrh,Bacchus-f\r\n/m/0h01s5,Skye terrier\r\n/m/0h02z,Bee eater\r\n/m/0h03q3,Diamond blade\r\n/m/0h05_,Cornish rex\r\n/m/0h06hd,Rotary saw\r\n/m/0h0b5,Rubik's cube\r\n/m/0h0d33,Ford p68\r\n/m/0h0d6bp,Chevrolet sonic\r\n/m/0h0rv,Pigeons and doves\r\n/m/0h0tq3,Naqareh\r\n/m/0h0wdn,Giant Swallowtail\r\n/m/0h0wns8,Infiniti ipl g\r\n/m/0h0wqm,Zelnik\r\n/m/0h0xm,Bacon\r\n/m/0h0yr0t,Bentley continental supersports\r\n/m/0h0yw1,Panzanella\r\n/m/0h13p6,Lapponian herder\r\n/m/0h1422,Paste\r\n/m/0_h18zn,Bicoloured goldenrod\r\n/m/0h1bv8c,Chocolate ice cream\r\n/m/0h1cmff,Ssc tuatara\r\n/m/0h1d5ls,Tauco\r\n/m/0h1fd30,Gopro\r\n/m/0h1fpcr,Heinz sandwich spread\r\n/m/0h1g999,Viola da terra\r\n/m/0h1gf1q,Common Gallinule\r\n/m/0h1gh8x,Soto mie\r\n/m/0h1j7,Paragliding\r\n/m/0h1nn3,Prairie fire\r\n/m/0h1p8,Tiltrotor\r\n/m/0h1rl,Lutefisk\r\n/m/0h1y6d,Boyoz\r\n/m/0h228g,Sit-down hydrofoil\r\n/m/0h228t,Bronx\r\n/m/0h235,Grouse\r\n/m/0h23m,Sparrow\r\n/m/0h23r9,Skater hockey\r\n/m/0h259,Cashew\r\n/m/0h29c,Peafowl\r\n/m/0h2_b_,Glass harp\r\n/m/0h2jc,Partridge\r\n/m/0h2mp,Fly\r\n/m/0h2r6,Van\r\n/m/0h2t9w,Telescope\r\n/m/0h36z,Cemetery\r\n/m/0h398j,Roofer\r\n/m/0h3c45,Khichdi\r\n/m/0h3fn5,Tatra 613\r\n/m/0h3fyt,Tatra 700\r\n/m/0h3j0,Meteoroid\r\n/m/0h3_j,Australian mist\r\n/m/0h3nk1,United states coast guard cutter\r\n/m/0h3nyz9,Fireball cinnamon whisky\r\n/m/0h3pkc7,Cura\r\n/m/0h3qbx6,Quail\r\n/m/0h3rf2j,Corpse reviver\r\n/m/0h3ry0,Ferrari 250 tr 61 spyder fantuzzi\r\n/m/0h3s6b,Tofurky\r\n/m/0h3tll,Renault midlum\r\n/m/0h3wfg4,Alphasphere\r\n/m/0h3zkc,Leptosiphon\r\n/m/0h42m,Match\r\n/m/0h4c9,Maserati\r\n/m/0h4fg5,Wide Sawfish\r\n/m/0h4hj7,Giant carp\r\n/m/0h4sv,Selkirk rex\r\n/m/0h4wls,Western riding\r\n/m/0h4z9s,Western Pygmy Blue\r\n/m/0h4zp18,Ferrari 550 maranello\r\n/m/0h50lv,Jack rose\r\n/m/0h51wtr,Marocchino\r\n/m/0h52485,Grammia virgo\r\n/m/0h530tf,Bread soup\r\n/m/0h539z7,First day of school\r\n/m/0h53n_r,Crepidium\r\n/m/0h53pz_,Rain pants\r\n/m/0h548rj,Floodlight\r\n/m/0h54qs,Holden caprice\r\n/m/0h5_4x9,Citroën\r\n/m/0h55b,Junk food\r\n/m/0h55s,Caramel\r\n/m/0h55sgb,Slender sharksucker\r\n/m/0h56055,Eurasian golden oriole\r\n/m/0h5617w,Pinalia\r\n/m/0h56l,Corn syrup\r\n/m/0h56lrs,Steckerlfisch\r\n/m/0h59_,Ice skate\r\n/m/0h5fb,Sphynx\r\n/m/0h5k,Anthropology\r\n/m/0h5q5h,Screen door\r\n/m/0h5rn1,Holden vc commodore\r\n/m/0h5s_y,Honey mesquite\r\n/m/0h5t4,Powerlifting\r\n/m/0h5wslk,Jaguar\r\n/m/0h5wwjv,Subaru\r\n/m/0h5wxrs,Isuzu\r\n/m/0h5wzft,Lancia\r\n/m/0h5x4j3,Lamborghini\r\n/m/0h5x8qk,Fiat\r\n/m/0h5xg,Pit bull\r\n/m/0h5y1j0,Toyota\r\n/m/0h5z20c,Audi\r\n/m/0h5z4p_,Alfa romeo\r\n/m/0h5z5kg,Opel\r\n/m/0h5zkkt,Peugeot\r\n/m/0h60t4,Working terrier\r\n/m/0h61,Archaeology\r\n/m/0h6_1,Tamale\r\n/m/0h61x,Cadillac\r\n/m/0h62vyn,Shoe store\r\n/m/0h62w4k,Oven bag\r\n/m/0h63018,Karinding\r\n/m/0h64tv6,Religious institute\r\n/m/0h6630n,Broadleaf pond lily\r\n/m/0h668xv,Freshwater crab\r\n/m/0h66s4c,Lieutenant colonel\r\n/m/0h66szq,Cypripedium ulla silkens\r\n/m/0h67tjn,Chinggis\r\n/m/0h699qs,Exhaust manifold\r\n/m/0h6dlrc,Bmw\r\n/m/0h6hb8,English riding\r\n/m/0h6kr1,Toyota publica\r\n/m/0h6x2rh,Full rigged pinnace\r\n/m/0h6z50,Lotus 20\r\n/m/0h70h_,Bed frame\r\n/m/0h7_1g,Plummer terrier\r\n/m/0h74gv_,Ford f-350\r\n/m/0h7gfbz,San miguel pale pilsen\r\n/m/0h7hsn,Schoolmaster Snapper\r\n/m/0h7lz8,Aguapanela\r\n/m/0h7m0qc,Dactylorhiza insularis\r\n/m/0h7mt4y,Škoda citigo\n/m/0h7myn4,Epipactis tremolsii\r\n/m/0h7py67,Dockrillia striolata\r\n/m/0h7smk,Cauliflower cheese\r\n/m/0h7xqgr,Smoked paprika\r\n/m/0h81j3,Frozen carbonated beverage\r\n/m/0h8gf8m,Bicycle locks\r\n/m/0h8hsc1,Bicycle front and rear rack\r\n/m/0h8j_21,Flask\r\n/m/0h8j_fc,Storage cable\r\n/m/0h8jg3b,Golf bag\r\n/m/0h8jh3r,Basketball hoop\r\n/m/0h8jj5_,Garment bag\r\n/m/0h8jjxw,Hockey protective equipment\r\n/m/0h8jkcv,Camp furniture\r\n/m/0h8j__k,Home game console accessory\r\n/m/0h8jmtr,Soccer shin guard\r\n/m/0h8jmzl,Outdoor play equipment\r\n/m/0h8jnc8,Ski bag\r\n/m/0h8jp0q,Downhill ski boot\r\n/m/0h8jp36,Die set\r\n/m/0h8jp8w,Level\r\n/m/0h8jpfy,Welding tool\r\n/m/0h8jqbq,Tackle box\r\n/m/0h8jqst,Masonry tool\r\n/m/0h8jqwr,Drill press\r\n/m/0h8j_qz,Film camera\r\n/m/0h8jr33,Playhouse\r\n/m/0h8j_rw,Splitter\r\n/m/0h8jr_y,Paint brush\r\n/m/0h8js0j,Playstation accessory\r\n/m/0h8jst_,Drip coffee maker\r\n/m/0h8jsx2,Downhill ski binding\r\n/m/0h8jsyt,Sports toy\r\n/m/0h8jt07,Playmat\r\n/m/0h8jtfv,Xbox accessory\r\n/m/0h8jtn4,Game boy console\r\n/m/0h8jv05,Home fencing\r\n/m/0h8jw7y,Floppy drive\r\n/m/0h8jwmd,Baby mobile\r\n/m/0h8jwmn,Hoisting\r\n/m/0h8jwrz,Snowboard binding\r\n/m/0h8jxfl,Vision care\r\n/m/0h8jy2y,Khaki pants\r\n/m/0h8jy_b,Cinch\r\n/m/0h8jyc9,Modulator\r\n/m/0h8jyh6,Grinder\r\n/m/0h8jz2l,Invitation\r\n/m/0h8jz91,Dress suit\r\n/m/0h8jz98,Camera accessory\r\n/m/0h8jzd5,Shower arm diverter\r\n/m/0h8jzfy,Laptop power adapter\r\n/m/0h8jzy0,Laptop battery\r\n/m/0h8k0x8,Nap mat\r\n/m/0h8k0z3,Sofa tables\r\n/m/0h8k1pn,End table\r\n/m/0h8k3ng,Sweatshirt\r\n/m/0h8k493,Storage adapter\r\n/m/0h8k4j9,Hair accessory\r\n/m/0h8k4wq,Camera battery\r\n/m/0h8k552,Mobile phone battery\r\n/m/0h8k5mc,Mobile phone charger\r\n/m/0h8k6fc,Lingerie top\r\n/m/0h8k6gj,Paperweight\r\n/m/0h8kj,Snowball\r\n/m/0h8kkzb,Shower door\r\n/m/0h8kmlm,Cordless phone battery\r\n/m/0h8knf8,Hair fork\r\n/m/0h8knnb,Plumbing fitting\r\n/m/0h8kqhn,Pneumatic drill\r\n/m/0h8kqqh,Shower bar\r\n/m/0h8kqwv,Shower rod\r\n/m/0h8krbg,Robe hook\r\n/m/0h8krck,Water filter cartridge\r\n/m/0h8krhr,Compressor\r\n/m/0h8krv8,Top\r\n/m/0h8kry1,Shower panel\r\n/m/0h8ks17,Pet supply\r\n/m/0h8ksfs,Electronics accessory\r\n/m/0h8ksky,Playstation 3 accessory\r\n/m/0h8kt_5,Car seat organizer\r\n/m/0h8ktfx,Wall socket\r\n/m/0h8kth8,Art table\r\n/m/0h8ktv7,Duster\r\n/m/0h8kv5p,Gun accessory\r\n/m/0h8kv9c,Video camera battery\r\n/m/0h8kvcp,Saw blade\r\n/m/0h8kvt3,Mp3 player\r\n/m/0h8kvwq,Car seat cover\r\n/m/0h8kwjk,Jewel case\r\n/m/0h8kwy6,Chip\r\n/m/0h8kx63,Spice rack\r\n/m/0h8kx6b,Cassette player\r\n/m/0h8kx8s,Mobile phone case\r\n/m/0h8kxbv,Body jewelry\r\n/m/0h8l45x,Baby float\r\n/m/0h8l4fh,Light bulb\r\n/m/0h8l4j8,Paint sprayer\r\n/m/0h8l_5x,Mp3 player case\r\n/m/0h8l777,Art paper\r\n/m/0h8l_7g,Rain suit\r\n/m/0h8ldlb,Audio receiver\r\n/m/0h8ldmb,Facial cleanser\r\n/m/0h8ldst,Bar soap\r\n/m/0h8l___,Equestrian glove\r\n/m/0h8lgf6,Playstation portable accessory\r\n/m/0h8lgfw,Automotive decor\r\n/m/0h8lgj0,Home theater system\r\n/m/0h8lgpb,Ceiling fixture\r\n/m/0h8lh7c,Duvet cover\r\n/m/0h8lh9n,Tire cover\r\n/m/0h8lhg9,Truck bed part\r\n/m/0h8lhhb,Toy vehicle\r\n/m/0h8lhhk,Video camera light\r\n/m/0h8lhlb,Bathtub spout\r\n/m/0h8lhls,Plumbing valve\r\n/m/0h8lhng,Household paper product\r\n/m/0h8lhpz,Shipping supply\r\n/m/0h8lhq_,Automotive window part\r\n/m/0h8lhsd,Outdoor structure\r\n/m/0h8lj0f,Automotive piston\r\n/m/0h8lj0p,Automotive fog light\r\n/m/0h8lj3x,Automotive alternator\r\n/m/0h8lj6c,Automotive air manifold\r\n/m/0h8lj9q,Effects processor\r\n/m/0h8ljbj,Handheld power drill\r\n/m/0h8ljlz,Martini glass\r\n/m/0h8lk2n,Door mat\r\n/m/0h8lk4b,Automotive mirror\r\n/m/0h8lkfv,Automotive air pump\r\n/m/0h8lkj8,Corded phone\r\n/m/0h8lk_j,Automotive fuel system\r\n/m/0h8lkjh,Eyebrow pencil\r\n/m/0h8lkk4,Clutch part\r\n/m/0h8lkyq,Poster board\r\n/m/0h8ll06,Automotive starter motor\r\n/m/0h8ll0s,Outdoor table\r\n/m/0h8llcg,Tanning product\r\n/m/0h8llcs,Riding toy\r\n/m/0h8llrd,Sketch pad\r\n/m/0h8ll_y,Automotive engine timing belt\r\n/m/0h8lm56,Futon pad\r\n/m/0h8ln1c,Wrapping paper\r\n/m/0h8ln73,Automotive interior lighting\r\n/m/0h8lnc2,Automotive bicycle rack\r\n/m/0h8lp0t,Automotive engine gasket\r\n/m/0h8lp27,Car subwoofer\r\n/m/0h8lp7h,Automotive decal\r\n/m/0h8lprf,Computer component\r\n/m/0h8lpvm,Kitchen sink\r\n/m/0h8lq0x,Record player\r\n/m/0h8lq3g,Pizza pan\r\n/m/0h8lqr1,Nitrous system\r\n/m/0h8lr5r,Bathroom sink\r\n/m/0h8lr6f,Tile flooring\r\n/m/0h8lrtl,Laptop bag\r\n/m/0h8lrwk,Body wash\r\n/m/0h8ls4g,Automotive cleaning\r\n/m/0h8ls5n,Bath brush\r\n/m/0h8ls87,Automotive exterior\r\n/m/0h8lsgn,Automotive engine part\r\n/m/0h8lskq,Steering part\r\n/m/0h8lsm5,Hardware accessory\r\n/m/0h8lsmh,Tire care\r\n/m/0h8lt6k,Electric massaging chair\r\n/m/0h8lt9b,Car wash brush\r\n/m/0h8lv3m,Suspension part\r\n/m/0h8lv8v,I/o card\r\n/m/0h8lw51,Tumbler\r\n/m/0h8lwkc,Laptop docking station\r\n/m/0h8lxmt,Contact lens care\r\n/m/0h8ly30,Automotive wheel system\r\n/m/0h8lyfz,Lighting accessory\r\n/m/0h8lymf,Bird supply\r\n/m/0h8lynm,Outdoor grill\r\n/m/0h8lz_m,Paper towel holder\r\n/m/0h8l_zs,Golf shoe\r\n/m/0h8lzz7,Hair shear\r\n/m/0h8m01z,Office instrument\r\n/m/0h8m03g,Rain boot\r\n/m/0h8m0jf,Jewelry making\r\n/m/0h8m_0l,Blood glucose test strip\r\n/m/0h8m0rk,Guitar string\r\n/m/0h8m0rs,Sata cable\r\n/m/0h8m0th,Soccer goalie glove\r\n/m/0h8m1sw,Running shoe\r\n/m/0h8m27n,Cooking thermometer\r\n/m/0h8m2b9,Holiday ornament\r\n/m/0h8m2l6,Coffee decanter\r\n/m/0h8m2m3,Fitness toy\r\n/m/0h8m2xj,Power line network adapter\r\n/m/0h8m306,Handheld circular saw\r\n/m/0h8m32t,Tennis skirt\r\n/m/0h8m331,Automotive tail & brake light\r\n/m/0h8m399,Skateboard truck\r\n/m/0h8m3bs,Toy instrument\r\n/m/0h8m3d8,Towed water sport\r\n/m/0h8m3zx,Liquid hand soap\r\n/m/0h8m46v,Wall sticker\r\n/m/0h8m4bf,Free weight bar\r\n/m/0h8m4cs,Vehicle gps mount\r\n/m/0h8m4dd,Bicycle shoe cover\r\n/m/0h8m4gj,Rug pad\r\n/m/0h8m4l3,Fryer basket\r\n/m/0h8m4y2,Riding mower\r\n/m/0h8m5j5,Ice cream scoop\r\n/m/0h8m5kn,Mandoline slicer\r\n/m/0h8m5n6,Horse supplies\r\n/m/0h8m5p1,Dish rack\r\n/m/0h8m5r9,Bicycle glove\r\n/m/0h8m60r,Tool cabinet\r\n/m/0h8m62y,Interlocking block\r\n/m/0h8m790,Household thermometer\r\n/m/0h8m7cs,Animal figure\r\n/m/0h8m7v2,Vacuum filter\r\n/m/0h8m_8q,Semiconductor\r\n/m/0h8m8s2,Outdoor grill rack & topper\r\n/m/0h8m92d,Water ski\r\n/m/0h8m958,Lacrosse cleat\r\n/m/0h8mbnj,Data transfer cable\r\n/m/0h8mbqj,Automotive carrying rack\r\n/m/0h8mc1m,Football glove\r\n/m/0h8mc80,Kvm cable\r\n/m/0h8mc9f,Vehicle cover\r\n/m/0h8mdxx,Bicycle jersey\r\n/m/0h8mdzr,Usb cable\r\n/m/0h8mf5n,Vacuum belt\r\n/m/0h8mfkx,Bicycle shoe\r\n/m/0h8m_g2,Projector replacement lamp\r\n/m/0h8mg_9,Musical keyboard stand\r\n/m/0h8mgmm,Toy motorcycle\r\n/m/0h8mgps,Surfboard case\r\n/m/0h8mgtx,Science set\r\n/m/0h8mhbc,Hunting decoy\r\n/m/0h8mhbm,Frother\r\n/m/0h8mhdk,Air conditioner filter\r\n/m/0h8mhf0,Baseball protective gear\r\n/m/0h8mhff,Home security\r\n/m/0h8mhmy,Toy airplane\r\n/m/0h8mhph,Bicycle part\r\n/m/0h8mhqv,Wooden block\r\n/m/0h8mhv3,Surveillance camera\r\n/m/0h8mhvr,Weightlifting machine\r\n/m/0h8mhw7,Boat hook\r\n/m/0h8mhzd,Sports uniform\r\n/m/0h8mj3b,Tennis racket accessory\r\n/m/0h8mj7v,Soldering iron tip\r\n/m/0h8mj9p,Firewire cable\r\n/m/0h8mjdy,Router bit\r\n/m/0h8mjf4,Push & pull toy\r\n/m/0h8mjgm,Fencing weapon\r\n/m/0h8mjgy,Skateboard wheel\r\n/m/0h8mjr7,Dartboard\r\n/m/0h8mjr_,Softball bat\r\n/m/0h8mjtj,Passive circuit component\r\n/m/0h8mjwh,Charging valet\r\n/m/0h8mk0d,Cooking timer\r\n/m/0h8mk0q,Lacrosse protective gear\r\n/m/0h8mk5_,Blank media\r\n/m/0h8mk8m,Dvi cable\r\n/m/0h8mkl8,Bowling shoe\r\n/m/0h8mkm8,Kitchen scale\r\n/m/0h8mkn3,Bingo set\r\n/m/0h8mknb,Stage equipment\r\n/m/0h8m_qw,Multimedia projector\r\n/m/0h8mv8d,Paintball gun barrel\r\n/m/0h8mv94,Circuit component\r\n/m/0h8mvh8,Gps case\r\n/m/0h8mvhl,Walk-behind mower\r\n/m/0h8mv_q,Soccer cleat\r\n/m/0h8mw0p,Bowling ball bag\r\n/m/0h8mwcc,Dart flight\r\n/m/0h8mwcp,Construction set toy\r\n/m/0h8mwjs,Swim brief\r\n/m/0h8mwqx,Baking peel\r\n/m/0h8mwv4,Hunting call\r\n/m/0h8mwyv,Spreader\r\n/m/0h8mx42,Paper napkin\r\n/m/0h8mx54,Outdoor power equipment\r\n/m/0h8my_4,Tennis racket\r\n/m/0h8my4v,Bubble blowing toy\r\n/m/0h8my51,Chess set\n/m/0h8my9s,Vintage advertisement\r\n/m/0h8mz2n,Outdoor grill cover\r\n/m/0h8mz41,Dancing shoe\r\n/m/0h8mzfp,Automotive side marker light\r\n/m/0h8mzh2,Skateboard deck\r\n/m/0h8mzjw,Weightlifting glove\r\n/m/0h8mzk2,Sports collectible\r\n/m/0h8mzmc,Circuit prototyping\r\n/m/0h8mzrc,Wall clock\r\n/m/0h8mzzj,Rainwear\r\n/m/0h8n00v,Cat supply\r\n/m/0h8n04m,Cd/dvd duplicator\r\n/m/0h8n075,Ethernet cable\r\n/m/0h8n199,Bicycle clothing\r\n/m/0h8n1g1,Automotive parking light\r\n/m/0h8n1hm,Bath toy\r\n/m/0h8n1jq,Martial arts uniform\r\n/m/0h8n22v,Serveware\r\n/m/0h8n27j,Serving tray\r\n/m/0h8n2hv,Sports jersey\r\n/m/0h8n2jw,Boxing protective gear\r\n/m/0h8n2kr,Laptop replacement screen\r\n/m/0h8n2mw,Decorative rubber stamp\r\n/m/0h8n2s1,Money handling\r\n/m/0h8n2vs,Visual effect lighting\r\n/m/0h8n317,Garden hose spray nozzle\r\n/m/0h8n3qf,Hockey autographed paraphernalia\r\n/m/0h8n3wf,Laboratory hot plate\r\n/m/0h8n44d,Decorative nutcracker\r\n/m/0h8n472,Football autographed paraphernalia\r\n/m/0h8n4jk,Soccer autographed paraphernalia\r\n/m/0h8n4m2,Steam table\r\n/m/0h8n4n3,Toy chest\r\n/m/0h8n4p9,Bicycle cage\r\n/m/0h8n4tq,Kitchen towel\r\n/m/0h8n4vk,Auto racing autographed paraphernalia\r\n/m/0h8n4yt,Automotive luggage rack\r\n/m/0h8n56q,Garden hose storage\r\n/m/0h8n5_7,Laptop replacement keyboard\r\n/m/0h8n5bt,Travel pillow\r\n/m/0h8n5f5,Storage chest\r\n/m/0h8n5gz,Conference room table\r\n/m/0h8n5ml,Projector\r\n/m/0h8n5ng,Beach towel\r\n/m/0h8n5np,Sleep mask\r\n/m/0h8n5w0,Toothpick holder & dispenser\r\n/m/0h8n5y1,Basketball autographed paraphernalia\r\n/m/0h8n5yf,Bath pillow\r\n/m/0h8n5zk,Kitchen & dining room table\r\n/m/0h8n5zs,Sauté pan\r\n/m/0h8n616,Automotive side-view mirror\r\n/m/0h8n61h,Office rubber stamp\r\n/m/0h8n6b3,Cat bed\r\n/m/0h8n6cq,Baking mold\r\n/m/0h8n6dj,Autographed sports paraphernalia\r\n/m/0h8n6f9,Dog bed\r\n/m/0h8n6ft,Cake stand\r\n/m/0h8n6jb,Wireless presenter\r\n/m/0h8n6k4,Golf towel\r\n/m/0h8n6lk,Pet door\r\n/m/0h8n6my,Golf glove\r\n/m/0h8n6rz,Baking cup\r\n/m/0h8n731,Depilatory\r\n/m/0h8n73h,Eye wash supply\r\n/m/0h8n76p,Kitchen cart\r\n/m/0h8n7c7,Bicycle tube\r\n/m/0h8n7pj,Waxing kit\r\n/m/0h8n7qc,Baking mat & liner\r\n/m/0h8n7qq,Outdoor sofa\r\n/m/0h8n8m2,Ventilation fan\r\n/m/0h8n8m_,Bicycle hub\r\n/m/0h8n8mk,Refrigerator water filter\r\n/m/0h8n8pj,Portable electronic game\r\n/m/0h8n8r0,Candy & chocolate mold\r\n/m/0h8n8sw,Waste containment\r\n/m/0h8n8x5,Lawn mower blade\r\n/m/0h8n90g,Bicycle wheel rim\r\n/m/0h8n973,Bicycle stem\r\n/m/0h8n982,Shelving\r\n/m/0h8n9b2,Home door\r\n/m/0h8n9by,Bottle stopper & saver\r\n/m/0h8n9w9,Cake decorating supply\r\n/m/0h8nb4_,Bicycle drivetrain part\r\n/m/0h8nb6m,Airpot\r\n/m/0h8nb6v,Bicycle seatpost clamp\r\n/m/0h8nbq_,Fondue set\r\n/m/0h8nc2t,Incense holder\r\n/m/0h8ncj3,E-book reader case\r\n/m/0h8nck1,Wakeboard binding\r\n/m/0h8ncmd,Condiment dispenser\r\n/m/0h8ncrs,Spice grinder\r\n/m/0h8ncxp,Toothbrush replacement head\r\n/m/0h8nd68,3d glass\r\n/m/0h8ndgc,Bakeware set\r\n/m/0h8ndjh,Birthday candle\r\n/m/0h8ndng,Power tool combo set\r\n/m/0h8nds8,Flameless candle\r\n/m/0h8nfyd,Makeup mirror\r\n/m/0h8nfzw,Cabinet hardware\r\n/m/0h8nh56,Conference phone\r\n/m/0h8nhxy,Shower base\r\n/m/0h8nhzk,Saxophone mouthpiece\r\n/m/0h8njkj,Postal scale\r\n/m/0h8njmk,Biometric monitor\r\n/m/0h8nk31,Multipurpose battery\r\n/m/0h8nk85,Harmonica case\r\n/m/0h8nkgk,Viola case\r\n/m/0h8nklh,Lip care\r\n/m/0h8nlq0,Bird toy\r\n/m/0h8nlvj,Dog clothes\r\n/m/0h8nm3l,Cat toy\r\n/m/0h8nm6p,Nail care\r\n/m/0h8nm83,Small animal supply\r\n/m/0h8nm96,Dog supply\r\n/m/0h8nm9j,Cat furniture\r\n/m/0h8nn5p,Small animal bedding\r\n/m/0h8nnbc,Toy craft kit\r\n/m/0h8nnk_,Aquarium decor\r\n/m/0h8nnm5,Aquarium air pump\r\n/m/0h8nnn5,Vehicle service manual\r\n/m/0h8npcp,Small animal food\r\n/m/0h8npdz,Baby carrier\r\n/m/0h8nplp,Dog treat\r\n/m/0h8nqmc,Outdoor bench\r\n/m/0h8nr09,Electric razor\r\n/m/0h8nr_l,Bathroom accessory\r\n/m/0h8nrxj,Skin care\r\n/m/0h8nrzj,Toothbrush holder\r\n/m/0h8ns_d,Fish supply\r\n/m/0h8nspc,Home fragrance\r\n/m/0h8nspp,Bath caddy\r\n/m/0h8nsq3,Shoe care\r\n/m/0h8nsr4,Baby safety\r\n/m/0h8nsrd,Shower curtain ring\r\n/m/0h8nsvg,Facial tissue holder\r\n/m/0h8nszq,Sleeper chair\r\n/m/0h8nt0r,Potty seat\r\n/m/0h8nt1x,Household supply\r\n/m/0h8nt51,Laundry supply\r\n/m/0h8nt91,Step stool\r\n/m/0h8ntc0,Grooming trimmer\r\n/m/0h8ntf7,Household cleaning supply\r\n/m/0h8ntgt,Roasting pan\r\n/m/0h8ntjv,Pressure cooker\r\n/m/0h8ntkf,Stovetop kettle\r\n/m/0h8ntkw,Incontinence aid\r\n/m/0h8ntm9,Cooktop\r\n/m/0h8ntmx,Laundry basket\r\n/m/0h8ntnm,Cake pan\r\n/m/0h8ntt3,Ironing board\r\n/m/0h8nttn,Saucepan\r\n/m/0h8nt_x,Storage basket\r\n/m/0h8nv1f,Birdhouse\r\n/m/0h8nv1y,Blood pressure monitor\r\n/m/0h8nv9l,Knife sharpener\r\n/m/0h8nvcj,Barware\r\n/m/0h8nvfb,Vacuum sealer\r\n/m/0h8nvh6,Coffee grinder\r\n/m/0h8nvhx,Electric kettle\r\n/m/0h8nvjt,Play yard\r\n/m/0h8nvk9,Dishware\r\n/m/0h8nyp3,Cd/dvd organizer\r\n/m/0h8nyrv,Automotive ignition part\r\n/m/0h8nz9n,Automotive care\r\n/m/0h8nzzj,Interior design\r\n/m/0h8p48f,Xbox accessory\r\n/m/0h8p55j,Shipping box\r\n/m/0h8p55r,Address sign\r\n/m/0h8p58t,General supply\r\n/m/0h8p59j,Paper product\r\n/m/0h8p5l_,Religious item\r\n/m/0h8p5xc,Bicycle seatpost\r\n/m/0h8p66t,Desk organizer\r\n/m/0h8p6kg,Office tape\r\n/m/0h8p7_l,Automotive exhaust\r\n/m/0h8p7lt,Writing chalk\r\n/m/0h8p7y4,Label maker\r\n/m/0h8p7_y,Office ruler\r\n/m/0h8p808,Tire valve cap\r\n/m/0h8p9x8,Magnifier\r\n/m/0h8pb3l,Automotive tire\r\n/m/0h8q07j,Baby & toddler clothing\r\n/m/0h8xdq1,Wire fencing\r\n/m/0h90w5d,Art paint\r\n/m/0h91fqv,Audio\r\n/m/0h9637l,Anemone fish\r\n/m/0h980f3,Red russian\r\n/m/0h989,Go\r\n/m/0h99c7s,Bathroom scale\r\n/m/0h99cwc,Kitchen appliance\r\n/m/0h9c,Astronomer\r\n/m/0h9h0,Damselfly\r\n/m/0h9mv,Tire\r\n/m/0h9q_,Triticale\r\n/m/0h9rv,Pika\r\n/m/0h9x38r,Honda crosstour\n/m/0hb95,Hobo\r\n/m/0hbfd,Kickflip\r\n/m/0hbj9,Hapkido\r\n/m/0hbm6,Saving\r\n/m/0hc3c,Canna lily\r\n/m/0hc4p,Infant formula\r\n/m/0hcjm,Brake\r\n/m/0hcr,Animation\r\n/m/0hcrq,Galangal\r\n/m/0hdl4,Sukhoi su-27\r\n/m/0hdln,Ruler\r\n/m/0hf2p,Mini cooper\r\n/m/0hf35,Volkswagen beetle\r\n/m/0hf58v5,Luggage and bags\r\n/m/0hf73,Aerobatics\r\n/m/0hfcz,Solanum\r\n/m/0hg6h,Compact cassette\r\n/m/0hg7b,Microphone\r\n/m/0hglxwd,Place card holder\r\n/m/0hgm2zp,Peugeot 208\r\n/m/0hgm4fy,Network software\r\n/m/0hgmckj,Riding gear\r\n/m/0hgmx2r,Motorcycle suit\r\n/m/0hgmzlq,Motorcycle protective clothing\r\n/m/0hgn_pr,Active pants\r\n/m/0hgntgw,Active tank\r\n/m/0hgnvwy,Dance skirt\r\n/m/0hgnxbq,Active shirt\r\n/m/0hgnxby,Watch accessory\r\n/m/0hgp2z0,Martial arts shorts\r\n/m/0hgp2z7,Undergarment\r\n/m/0hgp5bc,Formal gloves\r\n/m/0hgpbgq,Active shorts\r\n/m/0hgpr70,Office application software\r\n/m/0hgpv0d,Tablet computer charger\r\n/m/0hgq00b,Garment steamer\r\n/m/0hgq063,Wedding ceremony supply\r\n/m/0hgq843,Printer consumable\r\n/m/0hgqydr,Cover-up\r\n/m/0hgr37j,Hard drive mount\r\n/m/0hgr6,Denim\r\n/m/0hgr9by,Safety glove\r\n/m/0hgr9cc,Headphone ear pad\r\n/m/0hgrc_y,Printer tray\r\n/m/0hgrh95,Dance dress\r\n/m/0hgrj75,Outdoor shoe\r\n/m/0hgrk48,Wristlet\r\n/m/0hgrk4l,Printer maintenance kit\r\n/m/0hgrl9z,Food warmer\r\n/m/0hgrxrs,Camera cleaner\r\n/m/0hgry22,Exercise mat\r\n/m/0hgry_b,Poker set\r\n/m/0hgryjx,Business bag\r\n/m/0hgrzh6,Bridal veil\r\n/m/0hgrzkp,Shoulder bag\r\n/m/0hgrznh,Watch strap\r\n/m/0hgrz_r,Stereo amplifier\r\n/m/0hgrzs5,Drink lid\r\n/m/0hgs0dy,Foam roller\r\n/m/0hgs0h1,Projector mount\r\n/m/0hgs0nk,Knife holder\r\n/m/0hgs0qf,Camera remote control\r\n/m/0hgs0wq,Decorative fan\r\n/m/0hgs11z,Cake board\r\n/m/0hgs1d_,Sewing machine feet\r\n/m/0hgs1fl,Tool socket\r\n/m/0hgs1kk,Christmas tree skirt\r\n/m/0hgs1tp,Slide sandal\r\n/m/0hgs2b7,Straw dispenser\r\n/m/0hgs2h_,Bridal accessory\r\n/m/0hgs3h_,Dinnerware set\r\n/m/0hgs3x_,Scsi cable\r\n/m/0hgs4hj,Sunless tanner\r\n/m/0hgs4jj,Puffer\r\n/m/0hgs4k7,Contact grill\r\n/m/0hgs526,Costume accessory\r\n/m/0hgs54_,Costume hat\r\n/m/0hgs5gr,Fisherman sandal\r\n/m/0hgs60w,Tablet computer stand\r\n/m/0hgs62l,Pet id tag\r\n/m/0hgs64c,Baby & toddler shoe\r\n/m/0hgs73x,Camera strap\r\n/m/0hgs7hx,Xbox 360 hard drive\r\n/m/0hgs7v4,Bridal clothing\r\n/m/0hgs839,Tennis shoe\r\n/m/0hgs8_6,American football cleat\r\n/m/0hgs8lb,Pet vitamins & supplements\r\n/m/0hgs8q7,Bicycle cleat\r\n/m/0hgs8s2,Swimsuit bottom\r\n/m/0hgs8xl,Mobile phone car mount\r\n/m/0hgs9bq,Walking shoe\r\n/m/0hgs9r2,Automotive light bulb\r\n/m/0hgsb5g,Day dress\r\n/m/0hgsb7j,Electric griddle\r\n/m/0hgsb8b,Shoe organizer\r\n/m/0hgsb93,Basketball shoe\r\n/m/0hgsbb1,Printer ribbon\r\n/m/0hgsbb8,Cutting mat\r\n/m/0hgsbhn,Hiking shoe\r\n/m/0hgsbl7,Outdoor umbrella base\r\n/m/0hgsbrl,Baby bloomers\r\n/m/0hgsbt8,Decoy surveillance camera\r\n/m/0hgsbw3,Cross training shoe\r\n/m/0hgscdg,Basic pump\r\n/m/0hgscf0,Slush machine\r\n/m/0hgsf5m,Bridal shoe\r\n/m/0hgsf_l,Gardening shoes\r\n/m/0hgsgmv,Flower girl basket\r\n/m/0hgsgn9,Yoga mat carrier\r\n/m/0hgsh7k,Bridal party dress\r\n/m/0hgslft,Swimsuit top\r\n/m/0hgsm4f,Snow shovel\r\n/m/0hgts,Pétanque\r\n/m/0hgv8,Boules\r\n/m/0hhbr,Art gallery\r\n/m/0hhdb,Shopping\r\n/m/0hhnm,Sea urchin\r\n/m/0hhpg,Alfalfa\r\n/m/0hhpxkz,Lanttulaatikko\r\n/m/0hhrcvd,Frankfurter würstchen\r\n/m/0hhsw66,Yoga pant\r\n/m/0hhtq,European Swallow\r\n/m/0hjbz,Drinking\r\n/m/0hjf,Amphibian\r\n/m/0hjmr,Lockheed martin f-22 raptor\r\n/m/0hjzp,Kitten\r\n/m/0hk26,Stimulant\r\n/m/0hkf,Agriculture\r\n/m/0hkfc,Kooikerhondje\r\n/m/0hkmy,Fern\r\n/m/0hkqn,Lockheed Martin\r\n/m/0hkvx,Prairie\r\n/m/0hkxq,Broccoli\r\n/m/0hl08,Tropics\r\n/m/0hl6y,Vine\r\n/m/0hlhl,Moth\r\n/m/0hlsd,Northern red oak\r\n/m/0hltv,Pilot\r\n/m/0hlv8,Swamp Chestnut Oak\r\n/m/0hlw,Algae\r\n/m/0hlzc,Evergreen\r\n/m/0hlzt,Deciduous\r\n/m/0hm03,Trail\r\n/m/0hm1h,Snorkeling\r\n/m/0h_m,Adventure\r\n/m/0hmvxxv,Soy ice cream\r\n/m/0hn_2,Satellite radio\r\n/m/0hn6w,Vascular plant\r\n/m/0hn8p41,Toyota 86\r\n/m/0hn99mp,Ground turkey\r\n/m/0hnbb18,Bakwan\r\n/m/0hnbsn3,Samsung galaxy\r\n/m/0hnc1,Woodland\r\n/m/0hndl,Shade\r\n/m/0hnf4z3,Chicken and chips\r\n/m/0hnnb,Umbrella\r\n/m/0hnqgsf,Bread flour\r\n/m/0hnqhjg,Unbleached all-purpose flour\r\n/m/0hnqhyx,Cake flour\r\n/m/0hnqkgk,Buckwheat flour\r\n/m/0hnqkmf,Dried apricots\r\n/m/0hnws,Iron man\r\n/m/0hnyf,Hot spring\r\n/m/0hnyx,Pastry\r\n/m/0hnzb,Rose water\r\n/m/0hp2h,Horsetail\r\n/m/0hp39,Anzac biscuit\r\n/m/0hp3n,Pavlova\r\n/m/0hpcdn2,Rapper\r\n/m/0hpcnh9,Violinist\r\n/m/0hpf8,Tzatziki\r\n/m/0hpjg1v,Equestrian\r\n/m/0hpjt,Orator\r\n/m/0hpm0,Adder's tongue\r\n/m/0hpnr,Hospital\r\n/m/0hpx4,Birch\r\n/m/0hq8,Abacus\r\n/m/0hqkz,Grapefruit\r\n/m/0hqnc,Boeing 707\r\n/m/0hqs,Acid\r\n/m/0hqvc,Water lily\r\n/m/0hqvyqt,Flax seed\n/m/0hr020l,Lesser skullcap\r\n/m/0hr1s_w,Curry\r\n/m/0hr5k25,Opel mokka\r\n/m/0hr5k,Festival\r\n/m/0hr7kv1,Espressino\r\n/m/0hr8,Asphalt\r\n/m/0hr95w1,Pointer\r\n/m/0hr9x_q,Parasa\r\n/m/0hrcj2p,Backyard\r\n/m/0hrv9,Elm\r\n/m/0hs32,Prunus\r\n/m/0h_s3,Tomb\r\n/m/0hs8k,Bullet\r\n/m/0hscv,Robin\r\n/m/0hsgr,Chestnut\r\n/m/0hsrd,Sailing ship\r\n/m/0hsrw,Sailboat\r\n/m/0ht80,Ketchup\r\n/m/0htd3,Maidenhair tree\r\n/m/0htp,Astronaut\r\n/m/0htpj,Loon\r\n/m/0hv3g,Conifer\r\n/m/0hv6w,Logging\r\n/m/0hw1x,Chop suey\r\n/m/0hwky,Pattern\r\n/m/0hw_s,Basset hound\r\n/m/0hx15,Lada niva\r\n/m/0hx74,Fox hunting\r\n/m/0hy7s,Alarm device\r\n/m/0hyb2,Altar\r\n/m/0hyh8,Ammonoidea\r\n/m/0hymb,Angry\r\n/m/0hyn4,Anise\r\n/m/0hyyb,Supper\r\n/m/0hz4q,Breakfast\r\n/m/0hz5,Aardvark\r\n/m/0hzlg,Dahlia\r\n/m/0hznd04,Cultrun\r\n/m/0hznnb8,Trutruca\r\n/m/0hzp2y2,Public school\r\n/m/0hzqk8z,Face mask\r\n/m/0hzqq,Dahlia 'bishop of llandaff'\r\n/m/0hzr82v,Blue Copper\r\n/m/0hzsv,Weights\r\n/m/0hzy2,Veil\r\n/m/0j01,Agave\r\n/m/0j0hx,Moskvitch\r\n/m/0j0kc,Chaika\r\n/m/0j0rj,Guarana\r\n/m/0j0w6,Boxing ring\r\n/m/0j15l,Poison ivy\r\n/m/0j160,Sumac\r\n/m/0j_1bnd,Limonana\r\n/m/0j1vh,Scribe\r\n/m/0j1_ylk,Motorcycle racer\r\n/m/0j24d_1,Personal computer hardware\r\n/m/0j25fgx,Allen\r\n/m/0j25zyj,Drum stick\r\n/m/0j272k5,Eyewear\r\n/m/0j274f2,Bhangra\r\n/m/0j28bnr,Single pot still whiskey\r\n/m/0j28m92,Maksalaatikko\r\n/m/0j2b8_h,Kaeng som\r\n/m/0j2hg,Botanical garden\r\n/m/0j2kx,Waterfall\r\n/m/0j2y1zs,Absinthe mansinthe\r\n/m/0j3cs_m,Rockbreaker\r\n/m/0j3cw1l,Khaman\r\n/m/0j3d76m,Winter melon punch\r\n/m/0j3g5tq,Brewmaster\r\n/m/0j3gg,Rounders\r\n/m/0j3gthp,Shrub\r\n/m/0j3gw_j,River cooter\r\n/m/0j_3l7t,Issoria\r\n/m/0j_3vzd,Clique\r\n/m/0j4275g,Speckled bass\r\n/m/0j42k12,Dendrobium victoriae-reginae\r\n/m/0j43h1d,Phalaenopsis sanderiana\r\n/m/0j45k,Turkish van\r\n/m/0j45sd1,Dendrobium sanderae\r\n/m/0j46v,Persian\r\n/m/0j496,Band-aid\r\n/m/0j_4l0f,Orchids of the philippines\r\n/m/0j4mv,Crossword\r\n/m/0j4rl,Pelican\r\n/m/0j_54rd,Cakalang fufu\r\n/m/0j_55bm,Jokgu\r\n/m/0j_5b,Monoplane\r\n/m/0j5m8lt,Darts player\r\n/m/0j_5w50,Dendrobium uniflorum\r\n/m/0j5wx,Hornbill\r\n/m/0j60_,American curl\r\n/m/0j60j,Maine coon\r\n/m/0j62f,Rectangle\r\n/m/0j63_6t,Lavandula lanata\r\n/m/0j64pd2,Overskirt\r\n/m/0j65rr6,Godfather\r\n/m/0j67plv,Lotus\r\n/m/0j685wq,Bugatti\r\n/m/0j_68rq,Bubur ayam\r\n/m/0j6jq,Floodplain\r\n/m/0j6m2,Stream\r\n/m/0j6n39d,Tvr\r\n/m/0j6n6s8,Tesla\r\n/m/0j6p4fm,Caricaturist\r\n/m/0j6ppyt,Daewoo\r\n/m/0j6ql,Plane-tree family\r\n/m/0j6r0,Cypriniformes\r\n/m/0j6v7,Recycling\r\n/m/0j72pxm,Gmc\r\n/m/0j7jq86,Pachyphytum\r\n/m/0j7llbx,Snapper\r\n/m/0j7qj,Worship\r\n/m/0j7ty,Blossom\r\n/m/0j7vm,Kuvasz\r\n/m/0j85,Arctic ocean\r\n/m/0j8k6,Ceviche\r\n/m/0j8mx,Cricket-like insect\r\n/m/0j91q,Hummingbird\r\n/m/0j969,Brine\r\n/m/0j98l,Opossum\r\n/m/0j9k7k5,Anchovy (food)\r\n/m/0j9kg3c,Sardines\r\n/m/0j9l1jz,Red Turtlehead\r\n/m/0j9mvtg,Eagleray\r\n/m/0j9nfgq,Gulf flounder\r\n/m/0j9pm1q,The botanist\r\n/m/0j9qfzr,Salmon\r\n/m/0jb2l,Thunderstorm\r\n/m/0jb3,Assault rifle\r\n/m/0jb9b,Bombyx mori\r\n/m/0jbk,Animal\r\n/m/0jbr7,Clove\r\n/m/0jc3n,Exotic shorthair\r\n/m/0jcd,Ray-finned fish\r\n/m/0jc_p,Orange\r\n/m/0jcq8,Smooth newt\r\n/m/0jcr2,Red eared slider\r\n/m/0jd1w,Jacobaea vulgaris\r\n/m/0jd98,Grenadier\r\n/m/0jfd5,Lunch\r\n/m/0jffp,Dinner\r\n/m/0jfrt,Corned beef\r\n/m/0jg24,Image\r\n/m/0jg57,Bell pepper\r\n/m/0jgcl,Conquistador\r\n/m/0jgxn,Psychologist\r\n/m/0jh8w,Plywood\r\n/m/0jhgb,Scarabs\r\n/m/0jhmw,Accessory fruit\r\n/m/0jhv_,Blackberry\r\n/m/0jj7c,Stag beetles\r\n/m/0jj9d,Grenadine\r\n/m/0jjc,Aikido\r\n/m/0jj_h,Tributary\r\n/m/0jjw,Art\r\n/m/0jk_092,Sarsaparilla\r\n/m/0jk_h2_,Well drink\r\n/m/0jkw095,Chiavari chair\r\n/m/0jkz88j,Green coffee\r\n/m/0jl10zr,Prairie rose\r\n/m/0jlk7,Claw\r\n/m/0jlr1,Lada samara\r\n/m/0jlwg,Red trillium\r\n/m/0jly1,Turkey\r\n/m/0jm_,American football\r\n/m/0jmbc,Odometer\r\n/m/0jmpt,Canvas\r\n/m/0jmq7,Sundial\r\n/m/0jnbx,Hurling\r\n/m/0jncr,Shinty\r\n/m/0jnd6,Camogie\r\n/m/0jnvp,Baby\r\n/m/0jnxw,Stew\r\n/m/0jp31,Sail\r\n/m/0jpqm,Avalanche\r\n/m/0jpy5,Calendula\r\n/m/0jq47,Mercenary\r\n/m/0jqb,Annual plant\r\n/m/0jqg4,Tiger lily\r\n/m/0jqgx,Lily\r\n/m/0jqjp,Iris\r\n/m/0jqxl,Yucca\r\n/m/0jr2,Mouthwash\r\n/m/0jrtf,White oak\r\n/m/0js2k,Green lantern\r\n/m/0j_s4,Metropolitan area\r\n/m/0jsdb,Bmw 328\r\n/m/0jt1zhd,Opel adam\r\n/m/0jt211b,Cattleya elongata\r\n/m/0jt2t3g,Arabian mau\r\n/m/0jt470j,Salted fish\r\n/m/0jt59tb,Cockatoo\r\n/m/0jt7c,Totem pole\r\n/m/0jt7tfc,Peregrine falcon\r\n/m/0jt7t,Poison ivy\r\n/m/0jt8z1w,Coca\r\n/m/0jt9,Alismatales\r\n/m/0jtbr,Poutine\r\n/m/0jtc5,Yarrow\r\n/m/0jtdp,Documentary\r\n/m/0jtg0,Sitar\r\n/m/0jtjg,Stork\r\n/m/0jtkg,Locust\r\n/m/0jtn8,Volkswagen kübelwagen\r\n/m/0jts3,Presbyter\r\n/m/0jts,Apiales\r\n/m/0jtsh,American elm\r\n/m/0jtt9,Chili pepper\r\n/m/0jv4d,Saint-jean-baptiste day\r\n/m/0jv7,Asterales\r\n/m/0jwn_,Pomegranate\r\n/m/0jwr9,Cardinal\r\n/m/0jwt1v6,Sweet Rolls\r\n/m/0jwy1nx,Bavaria non-alcoholic beer\r\n/m/0jwykhp,Eel\r\n/m/0jwzhtg,Carving\r\n/m/0jxw5,Equestrianism\r\n/m/0jxxt,Horse racing\r\n/m/0jxy,Anime\r\n/m/0jy4k,Doughnut\r\n/m/0j_yc,Wasp\r\n/m/0jyfg,Glasses\r\n/m/0jyfz,Contact lens\r\n/m/0jygg,Geographer\r\n/m/0jyt6,Masque\r\n/m/0jytl,Masquerade ball\r\n/m/0jzbb,Paramedic\r\n/m/0jzgx,Flat racing\r\n/m/0jzps,Hummus\r\n/m/0jzz1,Bovine\r\n/m/0k05r,Court\r\n/m/0k0c,All saints' day\r\n/m/0k0dk86,Boar grunt\r\n/m/0k0mp,Porridge\r\n/m/0k0pj,Nose\r\n/m/0k0qpqb,Spinach salad\r\n/m/0k0vjhk,Dendrobium bullenianum\r\n/m/0k0_z,Sauna\r\n/m/0k1ps,Cork\r\n/m/0k1r0,Thing\r\n/m/0k1tl,Pen\r\n/m/0k28f6f,Rosa wichuraiana\r\n/m/0_k2,Ant\r\n/m/0k2dm,Dragon ball\r\n/m/0k2jq,Sabre\r\n/m/0k2kjjb,Greenhouse Frog\r\n/m/0k2n5,Daylighting\r\n/m/0k335,Electric motor\r\n/m/0k34p,Honeysuckle\r\n/m/0k354,Lilac\r\n/m/0k35l,Camellia\r\n/m/0k362,Tulip\r\n/m/0k36l,Catchfly\r\n/m/0k370,Aster\r\n/m/0k3b9,Hydrangea\r\n/m/0k3bt,Pansy\r\n/m/0k3lrrs,Battery energy drink\r\n/m/0k3p6k9,Biting\r\n/m/0k4j,Car\r\n/m/0k_4m,Jumping jack\r\n/m/0k53z,Boy scouts of america\r\n/m/0k5c3,Mermaid\r\n/m/0k5j,Aircraft\r\n/m/0k5qm,Naval architecture\r\n/m/0k5sl,Chocolate chip cookie\r\n/m/0k5stqc,Boneless skinless chicken thighs\r\n/m/0k5stv1,Chicken thighs\r\n/m/0k5sv46,Chicken breast\r\n/m/0k5zk,Water ouzel\r\n/m/0k64b,Emu\r\n/m/0k65p,Hand\r\n/m/0k6r1,Tartaric acid\r\n/m/0k7r2,British cuisine\r\n/m/0k88r,Nightingale\r\n/m/0k8by,Flea\r\n/m/0k8hs,Domestic long-haired cat\r\n/m/0k_9,Anxious\r\n/m/0k9hrb3,Monkey orchid\r\n/m/0k9mr,Songbird\r\n/m/0k9qw,Sweating\r\n/m/0k9xk,Anemone\r\n/m/0k9y1,Carnation\r\n/m/0k9yk,Crown imperial\r\n/m/0k9zc,Blanket flowers\r\n/m/0kb9g,Hagfish\r\n/m/0kbct,Scar\r\n/m/0kbfd,Accident\r\n/m/0kbgyjp,Iris reticulata\r\n/m/0kcc7,Movie theater\r\n/m/0kcvn,Jukebox\r\n/m/0kcyz,Indri\r\n/m/0kdx6,Lockheed p-80 shooting star\r\n/m/0kdzn,Sausage\r\n/m/0kf29,Graphics tablet\r\n/m/0kf6n,Jester\r\n/m/0kfbd,Rodeo\r\n/m/0kff3,Cougar\r\n/m/0kfqj,Horehound\r\n/m/0kg13c3,Algerian iris\r\n/m/0kg4l,Comfrey\r\n/m/0kg60,Hyssopus\r\n/m/0kgy7,Vehicle audio\r\n/m/0kh6vg5,Volleyball player\r\n/m/0kh77,Estuary\r\n/m/0kh8g,Longan\r\n/m/0kh8w,Canyon\r\n/m/0khdk,Natural arch\r\n/m/0khhs,Chihuahua\r\n/m/0khv8,Starfruit\r\n/m/0kjkw,Speed limit\r\n/m/0kj_w,White ash\r\n/m/0kjxx,Chimpanzee\r\n/m/0kjyq,Borage family\r\n/m/0kk07,Olive family\r\n/m/0km3f,Labrador retriever\r\n/m/0km5c,German shepherd\r\n/m/0km7z,Skunk\r\n/m/0kmbh,Lumberjack\r\n/m/0kmc0hd,Driving instructor\r\n/m/0kmd3,Atlantic canary\r\n/m/0kmg4,Teddy bear\r\n/m/0knj1,Bard\r\n/m/0knpd,Flight instruments\r\n/m/0kpbc,Aerospace manufacturer\r\n/m/0kpjk,Lychee\r\n/m/0kpmf,Dog breed\r\n/m/0kpqd,Watermelon\r\n/m/0kpt_,Cantaloupe\r\n/m/0kr8g,Flax-leaved tulip\r\n/m/0krfg,Meal\r\n/m/0ks8n,Buckwheat\r\n/m/0ksgj,Sodium chloride\r\n/m/0_ksk,Power tool\r\n/m/0ksls,Clothes hanger\r\n/m/0kt8p,Echidna\r\n/m/0kw6d,Driving\r\n/m/0kw8t,Rf modulator\r\n/m/0kw94,Softball\r\n/m/0kwb4,Scart\r\n/m/0kwmr,Calvados\r\n/m/0kwn5,Breadboard\r\n/m/0kxk,Archipelago\r\n/m/0kxyj,Matra\r\n/m/0ky1b,Citrullus\r\n/m/0ky1q,Luffa\r\n/m/0ky7b,Dishwasher\r\n/m/0kyk,Author\r\n/m/0kzx2,Mario\r\n/m/0l0xy,Diesel fuel\r\n/m/0l108,Lyre\r\n/m/0l14_3,Bowed string instrument\r\n/m/0l14jd,Choir\r\n/m/0l14j_,Flute\r\n/m/0l14l2,Shofar\r\n/m/0l14m5,Washtub bass\r\n/m/0l14md,Percussion\r\n/m/0l14qv,Synthesizer\r\n/m/0l14t7,Singing bowl\r\n/m/0l14tg,Bullroarer\r\n/m/0l14v3,Conch\r\n/m/0l154,Lagoon\r\n/m/0l156b,Steelpan\r\n/m/0l156s,Handbell\r\n/m/0l15bq,Clap\r\n/m/0l15fs,Flute\r\n/m/0l15k0,Rainstick\r\n/m/0l15lx,Gankogui\r\n/m/0l20k,Chazuke\r\n/m/0l__2,Avena\r\n/m/0l2mx,Clematis\r\n/m/0l3mc,Floor exercise\r\n/m/0l3ms,Balance beam\r\n/m/0l4dz,Electric generator\r\n/m/0l4_r,Sesame\r\n/m/0l4wmdq,Sumo wrestler\r\n/m/0l515,Sandwich\r\n/m/0l53f,Lockheed f-104 starfighter\r\n/m/0l5r,Daisy family\r\n/m/0l67,Parsley family\r\n/m/0l6sg,Breakfast cereal\r\n/m/0l6w2,Pita\r\n/m/0l7_8,Floor\r\n/m/0l78p,Piccolo\r\n/m/0l7hb,Clementine\r\n/m/0l7strg,Pocket billiards\r\n/m/0l7xg,Gear\r\n/m/0l8fl,Model aircraft\r\n/m/0l8m5c2,Mail bag\r\n/m/0lb3x22,Shrimp and mango salad\r\n/m/0lbf4,Yacht racing\r\n/m/0l_br,Coral reef\r\n/m/0lbw4,Great dane\r\n/m/0lbxg,Father\r\n/m/0lbxz,Mother\r\n/m/0lbzq,Birth\r\n/m/0lc0w,Childbirth\r\n/m/0lc4_,Advent\r\n/m/0l_c6pp,Supercross\n/m/0lcd,Alps\r\n/m/0lcvh,Screenplay\r\n/m/0l_db,Ninjutsu\r\n/m/0ldpy,Adolescent\r\n/m/0lf0n,Courtyard\r\n/m/0lf45,Camp\r\n/m/0lgg_,Compound bow\r\n/m/0lgjz,Peeps\r\n/m/0lgk9,Marshmallow\r\n/m/0lgw7,Photographer\r\n/m/0lhmp,Cognac\r\n/m/0lhr,Arecales\r\n/m/0lhtr,Daimyo\r\n/m/0l_j5,Carillon\r\n/m/0lk3p,Citizens band radio\r\n/m/0ll1f78,Shrimp\r\n/m/0llzx,Sewing machine\r\n/m/0lnyz,Gravy\r\n/m/0lqk,Alcohol\r\n/m/0l_sx,Head cheese\r\n/m/0lt4_,Binoculars\r\n/m/0ltfs,Bride\r\n/m/0ltv,Auto racing\r\n/m/0ltws,Canola\r\n/m/0lv9s,Autograph\r\n/m/0lvcs,Goalkeeper\r\n/m/0lvlk,Swamp\r\n/m/0lvmz,Puzzle\r\n/m/0lwt5,Chinkapin Oak\r\n/m/0lx4m,Tandem bicycle\r\n/m/0lx75,Cricket umpire\r\n/m/0lxjc,Northern pike\r\n/m/0lxkm,Iris\r\n/m/0lxzj,Bitterroot\r\n/m/0ly7l,AdÃ©lie penguin\r\n/m/0lyf_,Greenhouse\r\n/m/0lym8,Tapestry\r\n/m/0l_yv,Snowshoe\r\n/m/0lyw6,Model car\r\n/m/0lywmq2,Founder's backwoods bastard\r\n/m/0lywmqv,Founder's dirty bastard\r\n/m/0lywmrd,Founder's porter\r\n/m/0lyyx,Radio-controlled car\r\n/m/0lz1c,Arachnid\r\n/m/0lz27,Argiope\r\n/m/0l_z7,Hordeum\r\n/m/0lz7j,Kefir\r\n/m/0lzgr,Kola nut\r\n/m/0m058,Bujinkan\r\n/m/0m06w,Blt\r\n/m/0m09,Ale\r\n/m/0m0b1,Saab jas 39 gripen\r\n/m/0m0gc,Date palm\r\n/m/0m0h9kv,Pram\r\n/m/0m0jgwq,Goldilocks aster\r\n/m/0m150,Harrier\r\n/m/0m15h,Accipitridae\r\n/m/0m1ct,Wirehaired pointing griffon\r\n/m/0m1gt,Pico de gallo\r\n/m/0m1h5,Corn tortilla\r\n/m/0m1qt,Stoat\r\n/m/0m29p,Cor anglais\r\n/m/0m2r,All souls day\r\n/m/0m2yl,Oden\r\n/m/0m41v,Golden eagle\r\n/m/0m4tt,Edam\r\n/m/0m4v,Almond\r\n/m/0m4wc,Tostada\r\n/m/0m4z8,Chilaquiles\r\n/m/0m53l,Rays and skates\r\n/m/0m5nh,Boa\r\n/m/0m5w_,Saguaro\r\n/m/0m6sb,Braunschweiger\r\n/m/0m739,Nest\r\n/m/0m775,Tilapia\r\n/m/0m7lz,Charango\r\n/m/0m7wf,Star thistle\r\n/m/0m8_b,Boeing 777\r\n/m/0m8q5,Quilt\r\n/m/0m8z7,Sweet corn\r\n/m/0m8zy,Agama\r\n/m/0m91c,Sprint\r\n/m/0m926,Middle-distance running\r\n/m/0m931,Long-distance running\r\n/m/0m95s,Lace\r\n/m/0m9cj,Banner\r\n/m/0m9l_,Emmer\r\n/m/0mb5g,Wallaby\r\n/m/0mbct,Gong\r\n/m/0m_bl,Bullet train\r\n/m/0mbx4,Child actor\r\n/m/0mc3y,Quetzal\r\n/m/0mcn4,Succulent plant\r\n/m/0mcpm,Scout\r\n/m/0mcqy,Tom-tom drum\r\n/m/0mcs4,Pez\r\n/m/0mcx2,Ipod\r\n/m/0md09,Circular saw\r\n/m/0mf2,Abbot\r\n/m/0mfnf,Noodle\r\n/m/0mfx0,Doodle\r\n/m/0mfz,Assembly line\r\n/m/0mhy4,Throat\r\n/m/0_mjp,Mountain bike\r\n/m/0mjqn,Pie\r\n/m/0mjyx,Cayenne pepper\r\n/m/0mkg,Accordion\r\n/m/0mlk2,Boeing 727\r\n/m/0mn6,Architect\r\n/m/0mw_6,Willow\r\n/m/0myk8,Oud\r\n/m/0mynm,Webcam\r\n/m/0mys3,Bunker\r\n/m/0mz8t,Sewing\r\n/m/0mz_c,Arugula\r\n/m/0n073,Common cold\r\n/m/0n0gq,Match play\r\n/m/0n0j,Area\r\n/m/0n0vc,Audio power amplifier\r\n/m/0n18n,Daitō-ryū aiki-jūjutsu\r\n/m/0n1h,Artist\r\n/m/0n1n5,Uilleann pipes\r\n/m/0n28_,Crab\r\n/m/0n2d2,Ship of the line\r\n/m/0n42jw2,Window treatment\r\n/m/0n433d0,Mclaren p1\r\n/m/0n46_40,Drink mix\r\n/m/0n4731z,Lymantria dispar dispar\r\n/m/0n47bkz,Sonoran coral snake\r\n/m/0n47s4r,Paste\r\n/m/0n4819n,Snow skin mooncake\r\n/m/0n48n1b,Strainer\r\n/m/0n49352,Sports gear\r\n/m/0n536nq,Sport diving (sport)\n/m/0n5szg6,Business executive\r\n/m/0n5v01m,Bag\r\n/m/0n5vv,Tourin\r\n/m/0n68_,Structure\r\n/m/0nb0p53,Cattlianthe jewel box\r\n/m/0nb5671,Dorotheanthus bellidiformis\r\n/m/0nb7ylv,Angry birds\r\n/m/0nb89bq,Photobombing\r\n/m/0nblrl7,Chevrolet vectra\n/m/0nbvh3_,Rug\r\n/m/0ncqpsr,Race car\r\n/m/0ndxc_6,Round leaved liverleaf\r\n/m/0n_fbc8,Saint nicholas day\r\n/m/0ngt1,Thunder\r\n/m/0nhgsgb,Old man of the mountain\r\n/m/0nhj1_f,Metal hose\r\n/m/0nk23,Spiny lobster\r\n/m/0nkr2,Sheet music\r\n/m/0nl46,Crown\r\n/m/0nlk0,Gnocchi\r\n/m/0n_m1,Pitch pipe\r\n/m/0nmx,Abalone\r\n/m/0nnc,Abbess\r\n/m/0nqgd,Rain gauge\r\n/m/0nqm4,Radiography\r\n/m/0nr94,Bichon frisé\r\n/m/0nsv,Abbey\r\n/m/0nybt,Seahorse\r\n/m/0nyql,Audio crossover\r\n/m/0p1c1,Port\r\n/m/0p23_,Nautilus\r\n/m/0p285,Geisha\r\n/m/0p29m,Bailey bridge\r\n/m/0p3x,Anchor\r\n/m/0p57p,Recipe\r\n/m/0p_66,Ritual\r\n/m/0p6vc,Joker\r\n/m/0p719,Fruit tree\r\n/m/0p75p5b,Chevy spark ev\n/m/0p7h,Amethyst\r\n/m/0p7zs,Red skull\r\n/m/0p833,Perfume\r\n/m/0p83l,Jasmine\r\n/m/0p_9h,Inline skates\r\n/m/0p9xx,Visual arts\r\n/m/0pb0b,National trust for places of historic interest or natural beauty\r\n/m/0pb32f3,Physiotherapist\r\n/m/0pb8tf8,Nộm\r\n/m/0pbc,Amber\r\n/m/0pbql,Supervillain\r\n/m/0pc9,Alphorn\r\n/m/0pckp,Robin\r\n/m/0pcm_,Larch\r\n/m/0pcq81q,Soccer player\r\n/m/0pcr,Alpaca\r\n/m/0pcvyk2,Nem\r\n/m/0pd7,Army\r\n/m/0pdnd2t,Bengal clockvine\r\n/m/0pdnpc9,Bushwacker\r\n/m/0pdnsdx,Enduro\r\n/m/0pdnymj,Gekkonidae\r\n/m/0pg52,Taxi\r\n/m/0pg75,Quina\r\n/m/0pgc7,Perry\r\n/m/0pg_d,Justice league\r\n/m/0pgkc,Voting\r\n/m/0pgl9,Tourist attraction\r\n/m/0ph39,Canoe\r\n/m/0phgr,Military engineer\r\n/m/0pkh4,Millipedes\r\n/m/0pmbh,Dim sum\r\n/m/0pmlq,Chocolate bar\r\n/m/0pqdc,Hors d'oeuvre\r\n/m/0pr_h,Obelisk\r\n/m/0prp3,Egg decorating\r\n/m/0ptsp,Halloween costume\r\n/m/0ptv6,Pick\r\n/m/0ptwc,Gamelan\r\n/m/0pvlz,Wetland\r\n/m/0pvsg,Hojōjutsu\r\n/m/0pwdp,Border collie\r\n/m/0py2703,Freeride\r\n/m/0py27,Train station\r\n/m/0pyd5,Pennyroyal\r\n/m/0pyrb,Personal trainer\r\n/m/0q035,Comedy club\r\n/m/0q0d2,Thatching\r\n/m/0q0qv,Wren\r\n/m/0q3_1x2,Śmigus-dyngus\r\n/m/0q40d,Jerboa\r\n/m/0q410p1,Anthropologist\r\n/m/0q55f,Master system\r\n/m/0q56v,Game controller\r\n/m/0q593,Dietary supplement\r\n/m/0q5dv,Defensive tackle\r\n/m/0q5fc84,Butterfish\r\n/m/0q5js,Yo-yo\r\n/m/0q9n3,Micromeria douglasii\r\n/m/0qb7t,Organization\r\n/m/0_qd2q8,Mouna\r\n/m/0qf0c,Buffalo wing\r\n/m/0qfp1bz,Jalea\r\n/m/0qjjc,Remote control\r\n/m/0qjt6,Gibbon\r\n/m/0qjzt,Arrowroot\r\n/m/0qk4n,Ford mustang\r\n/m/0qkfj,Crab louse\r\n/m/0_qksy6,New york aster\r\n/m/0ql23,Pollinator\r\n/m/0ql48kn,Aechmea blue tango\r\n/m/0qlw3,Pipette\r\n/m/0qlx1,Distilled water\r\n/m/0qlzq,Test tube\r\n/m/0qm17,Centrifuge\r\n/m/0qm5d,Graduated cylinder\r\n/m/0qmh4,Brassica\r\n/m/0qmmr,Wheelchair\r\n/m/0qnq,Acupuncture\r\n/m/0qqk,Amaranth\r\n/m/0qxx,American Chinese cuisine\r\n/m/0r3vbqy,Harlem shake (meme)\r\n/m/0r4_kmc,Playstation 4\r\n/m/0r4kr10,Dashcam\r\n/m/0r4qm0g,Cuberdon\r\n/m/0r8lnvw,Jeep cherokee\r\n/m/0r8nvtq,Toña\r\n/m/0rcp1,Mountain village\r\n/m/0rh1hgy,Wagyu beef\r\n/m/0rws,Aloe\r\n/m/0rytcc5,Strapless dress\r\n/m/0s43,Amaryllis belladonna\r\n/m/0sc7q,Wonder Woman\r\n/m/0sgh53y,Selfie\r\n/m/0svg9,Paprika\r\n/m/0svwd,Twinkie\r\n/m/0swl40h,Cranberry bean\r\n/m/0swm8th,Black Beans\r\n/m/0swpk6b,Rickshaw\r\n/m/0swq_,Nature reserve\r\n/m/0swtt,Hand saw\r\n/m/0swv4,Adze\r\n/m/0swvm,Broadaxe\r\n/m/0sxvh,Animal migration\r\n/m/0sx_x,Fen\r\n/m/0sy84,Stately home\r\n/m/0syjz,Video card\r\n/m/0sysm,Pitcher plant\r\n/m/0sysz,Carnivorous plant\r\n/m/0syzv,Raisin\r\n/m/0t52nhp,Feu\r\n/m/0t539pk,Run down\r\n/m/0_tbv,Dinghy\r\n/m/0tkklhw,Liberation day\r\n/m/0vg8,Airline\r\n/m/0vj4g,Heel\r\n/m/0vjs6,Detective\r\n/m/0v_k3hv,Rabbit meat\r\n/m/0vllx,Barn\r\n/m/0vlys,Tower block\r\n/m/0vphbfj,Xbox one\r\n/m/0_vpmtw,Dark chocolate\n/m/0vpsd3h,Television presenter\r\n/m/0vpw3qb,Underwater orienteering\r\n/m/0vpwh8y,Fire lily\r\n/m/0vxfrdn,Pan dulce\r\n/m/0vzscg9,Dia dos namorados\r\n/m/0w0d,Archery\r\n/m/0w10g1_,Buick encore\r\n/m/0w1fg0y,Cingulata\r\n/m/0w2h,Arbor day\r\n/m/0w7c,Acting\r\n/m/0w7mg89,Goat racing\r\n/m/0w7q2wc,Dame blanche\r\n/m/0w7qcy1,Mountain river\r\n/m/0w7s,Aerospace engineering\r\n/m/0w88xth,Multimedia software\r\n/m/0wbj9rm,Kelly bag\r\n/m/0wd_1qy,Zefir\r\n/m/0wdnwpm,Rugby boot\r\n/m/0wdt60w,Rugby ball\r\n/m/0wf0kbf,Wave\r\n/m/0wfd3,Columbus day\r\n/m/0wfrc8w,Animal sports\r\n/m/0wgq355,Kite sports\r\n/m/0wgq69z,Precision sports\r\n/m/0wgq6rw,Weapon combat sports\r\n/m/0wgq6y7,Striking combat sports\r\n/m/0wgq7cl,Skirmish\r\n/m/0wgq7jc,Musical Performance Sports\r\n/m/0wgq7nz,Water & Ball Sports\r\n/m/0wgq858,Wall & ball sports\r\n/m/0wgq8gt,Dog sports\r\n/m/0wgq98_,Skating\r\n/m/0wgys6n,Stick and Ball Games\r\n/m/0wxz_wc,Cautleya spicata\r\n/m/0wypgv4,Umai\r\n/m/0x18y40,Wide leaved spring beauty\r\n/m/0x1s_1s,Kampot\r\n/m/0x1x_ds,Saucisson de lyon\r\n/m/0x1y1w8,Salchichón\r\n/m/0x25wy1,Bahamian cuisine\r\n/m/0x2lxhw,Lemon rice\r\n/m/0x2y7sy,Kake udon\n/m/0x44,Armour\r\n/m/0x6r,Angel\r\n/m/0xc3w,Spa town\r\n/m/0xfy,Armadillo\r\n/m/0xm0m9r,Chevrolet\r\n/m/0xn56pv,Standard Poodle\r\n/m/0xn59p7,Miniature Poodle\r\n/m/0xn5dj9,Toy Poodle\r\n/m/0xp0,Arctic fox\r\n/m/0xsc,Aircraft carrier\r\n/m/0xzly,Maracas\r\n/m/0y09,Analgesic\r\n/m/0y0r,Amphibious warfare ship\r\n/m/0y3sz,Güiro\r\n/m/0y3v9,Gothic\r\n/m/0y4yn3b,Amchoor\r\n/m/0y5fs,Sarrusophone\r\n/m/0y63,Anteater\r\n/m/0y64j,Bugle\r\n/m/0y6gqls,Gammon\r\n/m/0y75l,Punk\r\n/m/0y8r,Armored car\r\n/m/0_yfl_r,Broyé poitevin\r\n/m/0_yjnp6,Pappa al pomodoro\r\n/m/0ysvz,Louisiana catahoula leopard dog\r\n/m/0yt0jkh,Maria luisa cake\r\n/m/0ytgt,Child\r\n/m/0yx_tdd,Oblea\r\n/m/0z2y,Analog television\r\n/m/0z49,Adhesive\r\n/m/0z71l,Storm\r\n/m/0z74,Australian rules football\r\n/m/0zbxyxj,Pastelón\r\n/m/0zc1832,Sno-ball\r\n/m/0zdntfj,Candy cane sorrel\r\n/m/0zg7256,Gingerbread house\r\n/m/0zghq,Moonshine\r\n/m/0zkm,Arthropod\r\n/m/0zlm,Conservation-restoration\r\n/m/0zrpfhj,Throwing\r\n/m/0zrrls2,Red dahlia\r\n/m/0zrthkd,Brine\r\n/m/0zrv5th,Lamborghini huracán\r\n/m/0zvk5,Helmet\r\n"
  },
  {
    "path": "src/ingest/enrichment/socratic/prompts/place365-classnames.txt",
    "content": "airfield\nairplane cabin\nairport terminal\nalcove\nalley\namphitheater\namusement arcade\namusement park\noutdoor apartment building\naquarium\naqueduct\narcade\narch\narchaelogical excavation\narchive\nhockey arena\nperformance arena\nrodeo arena\narmy base\nart gallery\nart school\nart studio\nartists loft\nassembly line\noutdoor athletic field\npublic atrium\nattic\nauditorium\nauto factory\nauto showroom\nbadlands\nshop bakery\nexterior balcony\ninterior balcony\nball pit\nballroom\nbamboo forest\nbank vault\nbanquet hall\nbar\nbarn\nbarndoor\nbaseball field\nbasement\nindoor basketball court\nbathroom\nindoor bazaar\noutdoor bazaar\nbeach\nbeach house\nbeauty salon\nbedchamber\nbedroom\nbeer garden\nbeer hall\nberth\nbiology laboratory\nboardwalk\nboat deck\nboathouse\nbookstore\nindoor booth\nbotanical garden\nindoor bow window\nbowling alley\nboxing ring\nbridge\nbuilding facade\nbullring\nburial chamber\nbus interior\nindoor bus station\nbutchers shop\nbutte\noutdoor cabin\ncafeteria\ncampsite\ncampus\nnatural canal\nurban canal\ncandy store\ncanyon\ncar interior\ncarrousel\ncastle\ncatacomb\ncemetery\nchalet\nchemistry lab\nchilds room\nindoor church\noutdoor church\nclassroom\nclean room\ncliff\ncloset\nclothing store\ncoast\ncockpit\ncoffee shop\ncomputer room\nconference center\nconference room\nconstruction site\ncorn field\ncorral\ncorridor\ncottage\ncourthouse\ncourtyard\ncreek\ncrevasse\ncrosswalk\ndam\ndelicatessen\ndepartment store\nsand desert\nvegetation desert\ndesert road\noutdoor diner\ndining hall\ndining room\ndiscotheque\noutdoor doorway\ndorm room\ndowntown\ndressing room\ndriveway\ndrugstore\ndoor elevator\nelevator lobby\nelevator shaft\nembassy\nengine room\nentrance hall\nindoor escalator\nexcavation\nfabric store\nfarm\nfastfood restaurant\ncultivated field\nwild field\nfield road\nfire escape\nfire station\nfishpond\nindoor flea market\nindoor florist shop\nfood court\nfootball field\nbroadleaf forest\nforest path\nforest road\nformal garden\nfountain\ngalley\nindoor garage\noutdoor garage\ngas station\nexterior gazebo\nindoor general store\noutdoor general store\ngift shop\nglacier\ngolf course\nindoor greenhouse\noutdoor greenhouse\ngrotto\nindoor gymnasium\nindoor hangar\noutdoor hangar\nharbor\nhardware store\nhayfield\nheliport\nhighway\nhome office\nhome theater\nhospital\nhospital room\nhot spring\noutdoor hotel\nhotel room\nhouse\noutdoor hunting lodge\nice cream parlor\nice floe\nice shelf\nindoor ice skating rink\noutdoor ice skating rink\niceberg\nigloo\nindustrial area\noutdoor inn\nislet\nindoor jacuzzi\njail cell\njapanese garden\njewelry shop\njunkyard\nkasbah\noutdoor kennel\nkindergarden classroom\nkitchen\nlagoon\nnatural lake\nlandfill\nlanding deck\nlaundromat\nlawn\nlecture room\nlegislative chamber\nindoor library\noutdoor library\nlighthouse\nliving room\nloading dock\nlobby\nlock chamber\nlocker room\nmansion\nmanufactured home\nindoor market\noutdoor market\nmarsh\nmartial arts gym\nmausoleum\nmedina\nmezzanine\nwater moat\noutdoor mosque\nmotel\nmountain\nmountain path\nmountain snowy\nindoor movie theater\nindoor museum\noutdoor museum\nmusic studio\nnatural history museum\nnursery\nnursing home\noast house\nocean\noffice\noffice building\noffice cubicles\noilrig\noperating room\norchard\norchestra pit\npagoda\npalace\npantry\npark\nindoor parking garage\noutdoor parking garage\nparking lot\npasture\npatio\npavilion\npet shop\npharmacy\nphone booth\nphysics laboratory\npicnic area\npier\npizzeria\nplayground\nplayroom\nplaza\npond\nporch\npromenade\nindoor pub\nracecourse\nraceway\nraft\nrailroad track\nrainforest\nreception\nrecreation room\nrepair shop\nresidential neighborhood\nrestaurant\nrestaurant kitchen\nrestaurant patio\nrice paddy\nriver\nrock arch\nroof garden\nrope bridge\nruin\nrunway\nsandbox\nsauna\nschoolhouse\nscience museum\nserver room\nshed\nshoe shop\nshopfront\nindoor shopping mall\nshower\nski resort\nski slope\nsky\nskyscraper\nslum\nsnowfield\nsoccer field\nstable\nbaseball stadium\nfootball stadium\nsoccer stadium\nindoor stage\noutdoor stage\nstaircase\nstorage room\nstreet\nplatform subway station\nsupermarket\nsushi bar\nswamp\nswimming hole\nindoor swimming pool\noutdoor swimming pool\noutdoor synagogue\ntelevision room\ntelevision studio\nasia temple\nthrone room\nticket booth\ntopiary garden\ntower\ntoyshop\ntrain interior\nplatform train station\ntree farm\ntree house\ntrench\ntundra\nocean deep underwater\nutility room\nvalley\nvegetable garden\nveterinarians office\nviaduct\nvillage\nvineyard\nvolcano\noutdoor volleyball court\nwaiting room\nwater park\nwater tower\nwaterfall\nwatering hole\nwave\nwet bar\nwheat field\nwind farm\nwindmill\nyard\nyouth hostel\nzen garden\n"
  },
  {
    "path": "src/ingest/enrichment/socratic/prompts/tencent-ml-classnames.txt",
    "content": "atmospheric phenomenon\nbody part\nbody of water, water\nhead, caput\nhair\nstructure, anatomical structure, complex body part, bodily structure, body structure\nvein, vena, venous blood vessel\nmouth, oral cavity, oral fissure, rima oris\nheel\nwatercourse\nocean\ngas\nsolid\nsubstance\nfood, nutrient\ntear gas, teargas, lacrimator, lachrymator\nsky\nice, water ice\nfood, solid food\ncheese\nyogurt, yoghurt, yoghourt\nproduce, green goods, green groceries, garden truck\nbaked goods\ncake mix\nEmmenthal, Emmental, Emmenthaler, Emmentaler\nCamembert\nBrie\nmozzarella\nStilton\ndouble cream\nedible fruit\nvegetable, veggie, veg\ncurrant\ncustard apple\ncitrus, citrus fruit, citrous fruit\njackfruit, jak, jack\npomegranate\navocado, alligator pear, avocado pear, aguacate\nprickly pear\napple\ncarambola, star fruit\nfig\nmangosteen\ntangelo, ugli, ugli fruit\nplum\npapaya\napricot\nberry\nelderberry\nloquat, Japanese plum\npear\nlitchi, litchi nut, litchee, lichi, leechee, lichee, lychee\npeach\nmuscat, muscatel, muscat grape\ngrape\nbanana\npitahaya\nrambutan, rambotan\nkiwi, kiwi fruit, Chinese gooseberry\nmelon\nbreadfruit\npineapple, ananas\nmango\ndate\npapaw, pawpaw\ndurian\npassion fruit\njujube, Chinese date, Chinese jujube\nguava\ndried fruit\ncherry\nquince\nnectarine\ncherimoya, cherimolla\nsoursop, guanabana\nlime\nmandarin, mandarin orange\nkumquat\norange\nlemon\ncitron\ngrapefruit\npomelo, shaddock\nclementine\ntangerine\nsatsuma\nsweet orange\nbitter orange, Seville orange, sour orange\nnavel orange\nValencia orange\ncrab apple, crabapple\neating apple, dessert apple\nGranny Smith\nDelicious\nMcIntosh\nRed Delicious\nGolden Delicious, Yellow Delicious\nstrawberry\nmulberry\ncurrant\nlingonberry, mountain cranberry, cowberry, lowbush cranberry\nblackberry\nred currant\nraspberry\ncranberry\nacerola, barbados cherry, surinam cherry, West Indian cherry\npersimmon\nblueberry\nbilberry, whortleberry, European blueberry\nmuskmelon, sweet melon\nwatermelon\ncantaloup, cantaloupe\nsour cherry\nsweet cherry, black cherry\nbing cherry\nmushroom\nasparagus\nplantain\npumpkin\ncucumber, cuke\nroot vegetable\ncruciferous vegetable\nraw vegetable, rabbit food\nsolanaceous vegetable\nartichoke, globe artichoke\nlegume\nleek\nsquash\ngreens, green, leafy vegetable\ncelery\ncardoon\ngumbo, okra\npieplant, rhubarb\nonion\nfennel, Florence fennel, finocchio\ntaro, taro root, cocoyam, dasheen, edda\nbeet, beetroot\nyam\ncarrot\npotato, white potato, Irish potato, murphy, spud, tater\nbaked potato\nmashed potato\nfrench fries, french-fried potatoes, fries, chips\nmustard, mustard greens, leaf mustard, Indian mustard\ncabbage, chou\nkohlrabi, turnip cabbage\ncauliflower\nbrussels sprouts\nbroccoli rabe, broccoli raab\nbroccoli\nradish\nturnip\ncollards, collard greens\nbok choy, bok choi\nsavoy cabbage, savoy\nhead cabbage\nkale, kail, cole\npepper\ntomato\neggplant, aubergine, mad apple\ntomatillo, husk tomato, Mexican husk tomato\nsweet pepper\nhot pepper\nbell pepper\npimento, pimiento\ngreen pepper\nchili, chili pepper, chilli, chilly, chile\ntabasco, red pepper\ncayenne, cayenne pepper\njalapeno, jalapeno pepper\ncherry tomato\nbeefsteak tomato\nbean, edible bean\npea\nchickpea, garbanzo\nlentil\nsoy, soybean, soya, soya bean\ncommon bean\nblack bean, turtle bean\nkidney bean\nfresh bean\ngreen bean\nshell bean\nsnap bean, snap\nharicot vert, haricots verts, French bean\nstring bean\nfava bean, broad bean\ngreen soybean\ngreen pea, garden pea\nsnow pea, sugar pea\nsugar snap pea\nsummer squash\nwinter squash\nspaghetti squash\nzucchini, courgette\nyellow squash\nbutternut squash\nacorn squash\nchard, Swiss chard, spinach beet, leaf beet\nturnip greens\nsalad green, salad greens\nbean sprout\nspinach\nlamb's-quarter, pigweed, wild spinach\ncress\nchicory, curly endive\nchicory escarole, endive, escarole\nradicchio\nlettuce\nleaf lettuce, loose-leaf lettuce\ncrisphead lettuce, iceberg lettuce, iceberg\ncos, cos lettuce, romaine, romaine lettuce\ngreen onion, spring onion, scallion\nshallot\npurple onion, red onion\ndoughnut, donut, sinker\nbread, breadstuff, staff of life\ncrouton\nbreadstick, bread-stick\nsoft pretzel\nrye bread\ndark bread, whole wheat bread, whole meal bread, brown bread\nraisin bread\nbrown bread, Boston brown bread\ncinnamon bread\nquick bread\nmatzo, matzoh, matzah, unleavened bread\nsour bread, sourdough bread\nbun, roll\nwhite bread, light bread\nchallah, hallah\nloaf of bread, loaf\npretzel\nEnglish muffin\ntoast\nnan, naan\nchapatti, chapati\ngarlic bread\nYorkshire pudding\nbanana bread\nscone\nIrish soda bread\nbiscuit\nmuffin, gem\ndrop scone, griddlecake, Scotch pancake\ncornbread\nnut bread\nbuttermilk biscuit, soda biscuit\nhardtack, pilot biscuit, pilot bread, sea biscuit, ship biscuit\nshortcake\ncorn muffin\npopover\nbran muffin\ncornpone, pone\nhush puppy, hushpuppy\njohnnycake, johnny cake, journey cake\nhamburger bun, hamburger roll\nbagel, beigel\nfrankfurter bun, hotdog bun\nsweet roll, coffee roll\nhard roll, Vienna roll\nbrioche\ncrescent roll, croissant\nhoney bun, sticky bun, caramel bun, schnecken\ncinnamon roll, cinnamon bun, cinnamon snail\ncross bun, hot cross bun\nItalian bread\nbaguet, baguette\nFrench bread\nmeat loaf, meatloaf\nFrench loaf\nmaterial, stuff\nstucco\ngravel, crushed rock\nrock, stone\nleopard\nsoil, dirt\nsand\nloofa, loofah, luffa, loufah sponge\npaper\nlitter\ntoilet tissue, toilet paper, bathroom tissue\nqueen\ncomestible, edible, eatable, pabulum, victual, victuals\nfoodstuff, food product\nfare\nbeverage, drink, drinkable, potable\nsoul food\nfeed, provender\nnutriment, nourishment, nutrition, sustenance, aliment, alimentation, victuals\nyolk, vitellus\ncomfort food\negg, eggs\ngrain, food grain, cereal\ncarrot juice\nsoya milk, soybean milk, soymilk\nwhole wheat flour, graham flour, graham, whole meal flour\noatmeal, rolled oats\ningredient, fixings\ndairy product\ncocoa\nconcoction, mixture, intermixture\nSpam\njuice\ncanned food, canned foods, canned goods, tinned goods\ncorn, edible corn\nrice\nwild rice, Indian rice\nbarley, barleycorn\nwheat, wheat berry\nsweet corn, green corn\npopcorn\nwhite rice, polished rice\npaddy\nflavorer, flavourer, flavoring, flavouring, seasoner, seasoning\negg yolk, yolk\nsaffron\njuniper berries\ncayenne, cayenne pepper, red pepper\nsesame seed, benniseed\nsassafras\nspice\ncondiment\nsweetening, sweetener\nherb\npaprika\ngarlic, ail\nnasturtium\nmocha\ncardamom, cardamon, cardamum\nnutmeg\nstick cinnamon\nChinese anise, star anise, star aniseed\nclove\ncinnamon\nguacamole\nchili sauce\nolive\nchutney, Indian relish\nvinegar, acetum\ndip\nsoy sauce, soy\nsalsa\ncranberry sauce\ncatsup, ketchup, cetchup, tomato ketchup\nspread, paste\ngreen olive\nsauce\nwine vinegar\ncider vinegar\nhummus, humus, hommos, hoummos, humous\nmiso\nspaghetti sauce, pasta sauce\nchocolate sauce, chocolate syrup\nTabasco, Tabasco sauce\nhot sauce\nveloute\npesto\ndressing, salad dressing\nbourguignon, bourguignon sauce, Burgundy sauce\nhollandaise\ncarbonara\ntomato sauce\ngreen mayonnaise, sauce verte\nmayonnaise, mayo\npowdered sugar\nhoney\nsyrup, sirup\nsorghum, sorghum molasses\ngrenadine\nmaple syrup\nbasil, sweet basil\nlemon balm\nsweet woodruff, waldmeister\nclary sage\nhyssop\ncomfrey, healing herb\ncoriander, Chinese parsley, cilantro\nmint\nchives\nmarjoram, oregano\nborage\nsage\ntea, tea leaf\nrosemary\nparsley\nbay leaf\nthyme\ntea bag\noolong\nsouchong, soochong\ncream\nmilk\nwhipping cream, light whipping cream\nclotted cream, Devonshire cream\nlight cream, coffee cream, single cream\nheavy cream\nstuffing, dressing\nbatter\ndough\nfilling\npastry, pastry dough\nbread dough\npuff paste, pate feuillete\nphyllo\nchow, chuck, eats, grub\nmenu\ndietary\ndiet\ndiet\ndietary supplement\nvegetarianism\nvitamin pill\nmultivitamin, multivitamin pill\nalcohol, alcoholic drink, alcoholic beverage, intoxicant, inebriant\nfruit juice, fruit crush\nfizz\nnear beer\ncocoa, chocolate, hot chocolate, drinking chocolate\ncoffee, java\ncider, cyder\ntea\nsoft drink\nfruit drink, ade\nginger beer\ndrinking water\npotion\nsmoothie\nmixed drink\nliquor, spirits, booze, hard drink, hard liquor, John Barleycorn, strong drink\nsake, saki, rice beer\nwine, vino\nhooch, hootch\nhome brew, homebrew\nliqueur, cordial\nhard cider\nbrew, brewage\nneutral spirits, ethyl alcohol\naperitif\nhighball\ncocktail\nspritzer\npunch\npina colada\nmimosa, buck's fizz\njulep, mint julep\ngin and tonic\nBloody Mary\nmartini\ngimlet\ngin and it\ndaiquiri, rum cocktail\nsidecar\nSazerac\nmargarita\ncup\nMay wine\neggnog\nfruit punch\nvodka\nfirewater\naquavit, akvavit\ngrog\nschnapps, schnaps\narrack, arak\ngin\nrum\naqua vitae, ardent spirits\ntequila\nbitters\ngeneva, Holland gin, Hollands\nbrandy\nouzo\nwhiskey, whisky\neau de vie\nCognac\ngrappa\nArmagnac\nCalvados\nIrish, Irish whiskey, Irish whisky\nbourbon\nsour mash, sour mash whiskey\nScotch, Scotch whiskey, Scotch whisky, malt whiskey, malt whisky, Scotch malt whiskey, Scotch malt whisky\nrye, rye whiskey, rye whisky\ncorn whiskey, corn whisky, corn\nblended whiskey, blended whisky\nblush wine, pink wine, rose, rose wine\nvintage\nchampagne, bubbly\nvin ordinaire\ndessert wine\nmacon, maconnais\nsparkling wine\nCotes de Provence\nvarietal, varietal wine\nBurgundy, Burgundy wine\nfortified wine\nBordeaux, Bordeaux wine\ntable wine\nCalifornia wine\nvermouth\nred wine\nRhone wine\nwhite wine\nMontrachet\nBeaujolais\nChablis, white Burgundy\nMadeira\nsherry\nmalmsey\nport, port wine\nmuscat, muscatel, muscadel, muscadelle\nSaint Emilion\nclaret, red Bordeaux\ndry vermouth, French vermouth\nsweet vermouth, Italian vermouth\nMedoc\nChianti\nPinot noir\nRioja\nMerlot\nCabernet, Cabernet Sauvignon\nzinfandel\nRiesling\nSauvignon blanc\nMuscadet\nYquem\nPinot blanc\nSauterne, Sauternes\nChenin blanc\nChardonnay, Pinot Chardonnay\nsack\nVerdicchio\nCanary wine\nPernod\nDrambuie\nsambuca\ntriple sec\nabsinth, absinthe\nmaraschino, maraschino liqueur\nanisette, anisette de Bordeaux\nbeer\nlager, lager beer\ndraft beer, draught beer\nale\nsuds\nMunich beer, Munchener\nPilsner, Pilsener\nlight beer\nmalt, malt liquor\nbock, bock beer\nWeissbier, white beer, wheat beer\nporter, porter's beer\nstout\nbitter\npale ale\nGuinness\nWeizenbock\norange juice\ncranberry juice\nnectar\niced coffee, ice coffee\ncaffe latte, latte\nespresso\ncappuccino, cappuccino coffee, coffee cappuccino\nIrish coffee\nchicory, chicory root\ncafe au lait\nmocha, mocha coffee\nTurkish coffee\nice tea, iced tea\ncuppa, cupper\ntonic, tonic water, quinine water\ncola, dope\norange soda\nginger ale, ginger pop\npop, soda, soda pop, soda water, tonic\nroot beer\nCoca Cola, Coke\nPepsi, Pepsi Cola\nmineral water\nbottled water\nsoda water, carbonated water, club soda, seltzer, sparkling water\noil cake\nbird feed, bird food, birdseed\nfodder\neatage, forage, pasture, pasturage, grass\nhay\nalfalfa\nbroad bean, horse bean\ndainty, delicacy, goody, kickshaw, treat\nfast food\npuree\nfinger food\ndish\ncourse\nmother's milk\nvitamin\nkosher\nmeal, repast\njello, Jell-O\ngelatin, jelly\nsweet, confection\ncandied apple, candy apple, taffy apple, caramel apple, toffee apple\nconfiture\ncandy, confect\nchewing gum, gum\nconfectionery\nmaraschino, maraschino cherry\nconserve, preserve, conserves, preserves\nstrawberry jam, strawberry preserves\napple butter\nlemon curd, lemon cheese\njam\njelly\npeppermint, peppermint candy\npeanut brittle\nchocolate kiss\nnougat bar\ncandy bar\njelly bean, jelly egg\nlollipop, sucker, all-day sucker\ncandy cane\ntruffle, chocolate truffle\nchocolate fudge\ncough drop, troche, pastille, pastil\nsugar candy\nEaster egg\nkiss, candy kiss\ngumdrop\ncandy corn\nfondant\ncotton candy, spun sugar, candyfloss\ncaramel\nfudge\ncandy egg\nchocolate egg\nbubble gum\ngum ball\npoached egg, dropped egg\npiece de resistance\nside dish, side order, entremets\nstew\nomelet, omelette\nsoup\nsashimi\ntaco\nFrench toast\ncheese souffle\npotpie\nlamb curry\nstuffed tomato, hot stuffed tomato\nchow mein\ncroquette\ngefilte fish, fish ball\ncoq au vin\nspecial\nspaghetti and meatballs\neggs Benedict\nschnitzel, Wiener schnitzel\nbuffalo wing\nchicken casserole\nrissole\npaella\nfrittata\nmeatball\nchili, chili con carne\nporridge\ntamale\nstuffed tomato, cold stuffed tomato\ncouscous\ndeviled egg, stuffed egg\nbeef Wellington, filet de boeuf en croute\npasta\negg roll, spring roll\nenchilada\nfalafel, felafel\nmushy peas\nturnover\nscrambled eggs\nSpanish rice\nteriyaki\nbarbecued spareribs, spareribs\npilaf, pilaff, pilau, pilaw\nkabob, kebab, shish kebab\ntempura\nsamosa\nfried egg\nsandwich plate\nchicken cacciatore, chicken cacciatora, hunter's chicken\nsaute\nfried rice, Chinese fried rice\ncustard\nsukiyaki\nfish and chips\nsouffle\nsteak au poivre, peppered steak, pepper steak\npizza, pizza pie\nfondue, fondu\nbiryani, biriani\nstuffed peppers\nmousse\nshirred egg, baked egg, egg en cocotte\nSwedish meatball\njambalaya\nScotch egg\nburrito\nrisotto, Italian rice\nsalad\nboiled egg, coddled egg\ncurry\nsnack food\nbouillabaisse\ngoulash, Hungarian goulash, gulyas\npottage\nbeef stew\nhot pot, hotpot\nfish stew\nhotchpotch\nIrish stew\nratatouille\ngazpacho\nwon ton, wonton, wonton soup\npetite marmite, minestrone, vegetable soup\nsplit-pea soup\nconsomme\nchowder\npotage, pottage\nmarmite\nlentil soup\nbisque\npea soup\npepper pot, Philadelphia pepper pot\nchicken broth, chicken stock\nchicken soup\nbroth, stock\nbroth\ngumbo\nborsch, borsh, borscht, borsht, borshch, bortsch\ncorn chowder\nclam chowder\nfish chowder\ngruel\ncongee, jook\nmacaroni and cheese\nlasagna, lasagne\ncannelloni\nspaghetti\ncreme caramel\ncreme brulee\npepperoni pizza\nanchovy pizza\ncheese pizza\nSicilian pizza\nsausage pizza\nchocolate fondue\ncheese fondue\ncoleslaw, slaw\nmacaroni salad\ntossed salad\nsalad nicoise\npasta salad\nfruit salad\ntabbouleh, tabooli\ngreen salad\nchef's salad\nhard-boiled egg, hard-cooked egg\nEaster egg\nsandwich\ncorn chip\nchip, crisp, potato chip, Saratoga chip\nbomber, grinder, hero, hero sandwich, hoagie, hoagy, Cuban sandwich, Italian sandwich, poor boy, sub, submarine, submarine sandwich, torpedo, wedge, zep\ncheeseburger\nchicken sandwich\nham sandwich\nReuben\nbacon-lettuce-tomato sandwich, BLT\nchili dog\nopen-face sandwich, open sandwich\ngyro\nwrap\nhamburger, beefburger, burger\nclub sandwich, three-decker, triple-decker\nhotdog, hot dog, red hot\ntortilla chip\nnacho\nentree, main course\nplate\ndessert, sweet, afters\nappetizer, appetiser, starter\nmousse\ntiramisu\nfrozen dessert\npudding\npudding, pud\ntrifle\nflan\nwhip\ndumpling\ncompote, fruit compote\nchocolate mousse\npavlova\nparfait\nice-cream cake, icebox cake\nice lolly, lolly, lollipop, popsicle\nice-cream sundae, sundae\nice-cream cone\nice cream, icecream\nice, frappe\nbanana split\nfrozen yogurt\nfrozen custard, soft ice cream\nvanilla ice cream\npeach ice cream\nchocolate ice cream\nstrawberry ice cream\nplum pudding, Christmas pudding\nchocolate pudding\nshrimp cocktail\nstuffed mushroom\ncocktail\nhors d'oeuvre\ncarrot stick\nantipasto\nwater-soluble vitamin\nfat-soluble vitamin\nvitamin P, bioflavinoid, citrin\nvitamin C, C, ascorbic acid\nB-complex vitamin, B complex, vitamin B complex, vitamin B, B vitamin, B\nvitamin B2, vitamin G, riboflavin, lactoflavin, ovoflavin, hepatoflavin\ninositol\nvitamin B6, pyridoxine, pyridoxal, pyridoxamine, adermin\ncholine\npantothenic acid, pantothen\nvitamin B12, cobalamin, cyanocobalamin, antipernicious anemia factor\nvitamin Bc, vitamin M, folate, folic acid, folacin, pteroylglutamic acid, pteroylmonoglutamic acid\nvitamin D, calciferol, viosterol, ergocalciferol, cholecalciferol, D\nvitamin A1, retinol\npicnic\nbite, collation, snack\nsupper\nbreakfast\nrefection\nsmorgasbord\nbuffet\nbrunch\ncontinental breakfast, petit dejeuner\ndinner\nlunch, luncheon, tiffin, dejeuner\nbanquet, feast, spread\ncookout\nfish fry\nbarbecue, barbeque\nrefreshment\nnosh\nland, ground, soil\nlocation\nland, dry land, earth, ground, solid ground, terra firma\nfomite, vehicle\npart, portion\ngeological formation, formation\ncobweb\nwhole, unit\nhail\nswamp, swampland\ncultivated land, farmland, plowland, ploughland, tilled land, tillage, tilth\nregion, part\nregion\npass, mountain pass, notch\nline\npoint\nopening, gap\nbedside\nsoil horizon\nextremity\nboundary, bound, bounds\nnib, pen nib\nselvage, selvedge\nshoreline\nbenthos, benthic division, benthonic zone\nresort area, playground, vacation spot\ngeographical area, geographic area, geographical region, geographic region\ndistrict, territory, territorial dominion, dominion\nscrubland\nbush\noilfield\nfield\ntract, piece of land, piece of ground, parcel of land, parcel\nheronry\ngrassland\nsite, land site\ncourt\nbasketball court\nfairground\nplot, plot of land, plot of ground, patch\nfield\namusement park, funfair, pleasure ground\nveld, veldt\npasture, pastureland, grazing land, lea, ley\ncampsite, campground, camping site, camping ground, bivouac, encampment, camping area\ngarbage heap, junk heap, rubbish heap, scrapheap, trash heap, junk pile, trash pile, refuse heap\ncemetery, graveyard, burial site, burial ground, burying ground, memorial park, necropolis\nflowerbed, flower bed, bed of flowers\ngarden\ntopiary\npeach orchard\nyard, grounds, curtilage\ngrainfield, grain field\nplayground\ngarden\ncity, metropolis, urban center\ncity district\neparchy, exarchate\nkasbah, casbah\nwaterfront\nbusiness district, downtown\ncol, gap\ndefile, gorge\nhemline\nspoor\ncrest\ntopographic point, place, spot\nworkplace, work\nhalf-mast, half-staff\nintersection, crossroad, crossway, crossing, carrefour\nbus stop\nmecca\nhole-in-the-wall\npatisserie\nbakery, bakeshop, bakehouse\nfarm\npiggery, pig farm\nranch, spread, cattle ranch, cattle farm\ndairy, dairy farm\nknothole\nchasm\noxbow\nfloor\npinetum\nplain, field, champaign\nsteppe\ncigarette butt\npipefitting, pipe fitting\nhandle, grip, handgrip, hold\npanhandle\nstock, gunstock\nhaft, helve\nax handle, axe handle\nbroomstick, broom handle\npistol grip\narete\nvolcanic crater, crater\nspring, fountain, outflow, outpouring, natural spring\nice mass\nnatural depression, depression\nnatural elevation, elevation\noceanfront\nmassif\ncliff, drop, drop-off\nshore\ntalus, scree\nridge, ridgeline\nrange, mountain range, range of mountains, chain, mountain chain, chain of mountains\nlakefront\nslope, incline, side\ncave\nforeshore\nbeach\nhot spring, thermal spring\ngeyser\nicecap, ice cap\niceberg, berg\nAlpine glacier, Alpine type of glacier\nglacier\nvalley, vale\nlunar crater\nlandfill\nsinkhole, sink, swallow hole\nbasin\ncrater\nbed, bottom\nhole, hollow\narroyo\nravine\ncanyon, canon\ngorge\ntidal basin\ncirque, corrie, cwm\nocean floor, sea floor, ocean bottom, seabed, sea bottom, Davy Jones's locker, Davy Jones\nriverbed, river bottom\nstreambed, creek bed\nburrow, tunnel\npothole, chuckhole\ntableland, plateau\nhill\nmountain, mount\nhighland, upland\nridge\npromontory, headland, head, foreland\nanthill, formicary\nbutte\nfoothill\nknoll, mound, hillock, hummock, hammock\nalp\nben\nvolcano\nsandbar, sand bar\ndune, sand dune\nreef\nbank\ncoral reef\natoll\nsandbank\nbluff\npoint\nmull\ncrag\nprecipice\nseashore, coast, seacoast, sea-coast\nstrand\nlakeside, lakeshore\nlittoral, litoral, littoral zone, sands\nseaside, seaboard\nmountainside, versant\ndescent, declivity, fall, decline, declination, declension, downslope\nhillside\nski slope\nescarpment, scarp\nbank\ndownhill\nascent, acclivity, rise, raise, climb, upgrade\nbrae\nuphill\nriverbank, riverside\nwaterside\ncove\ncavern\ngrotto, grot\nartifact, artefact\nliving thing, animate thing\nnatural object\nassembly\nblock\nmillstone\npaving, pavement, paving material\ncreation\nopening\nplaything, toy\nsurface\ntramline, tramway, streetcar track\nstructure, construction\ninstrumentality, instrumentation\npadding, cushioning\ncovering\nfabric, cloth, material, textile\nbookmark, bookmarker\nfloat\nbuilding material\ndecoration, ornament, ornamentation\nway\nstrip, slip\narticle\nfacility, installation\nexcavation\ncommodity, trade good, good\nsheet, flat solid\nfixture\nblacktop, blacktopping\nline\nbullion\ntessera\ntile\nanvil\nrepresentation\nart, fine art\nneedlework, needlecraft\nproduct, production\npieta\nmap\nsketch, study\nsonogram, echogram\nphotograph, photo, exposure, picture, pic\nwaxwork, wax figure\narthrogram\nradiogram, radiograph, shadowgraph, skiagraph, skiagram\nphotomicrograph\nphotostat\npainting, picture\ntriptych\nnude, nude painting\nfinger-painting\nsmocking\nstitch\nsewing stitch, embroidery stitch\nknitting stitch\nlockstitch\nhemstitch, hemstitching\ngarter stitch\npurl, purl stitch\nbook\nwork, piece of work\njotter\nnewspaper, paper\nwicker, wickerwork, caning\nmasterpiece, chef-d'oeuvre\nopenwork\nwoodwork\nlacquerware\ncabinetwork\njoinery\ndecolletage\ngargoyle\naperture\nhole\nmouthpiece, embouchure\noutfall\nplughole\nmanhole\nkeyhole\nperforation\nthumbhole\npogo stick\nball\npinata\nteddy, teddy bear\njungle gym\nbubble\nhula-hoop\npinwheel, pinwheel wind collector\nslide, playground slide, sliding board\nsport kite, stunt kite\ncockhorse\ndoll, dolly\nfoam, froth\nair bubble\nspume\nshaving foam\ngolliwog, golliwogg\nkachina\nhorizontal surface, level\nboard, gameboard\ntabletop\nside\nplatform\ntarmacadam, tarmac, macadam\nfloor, flooring\nturntable\nstage\ndais, podium, pulpit, rostrum, ambo, stump, soapbox\nsumo ring\nhurricane deck, hurricane roof, promenade deck, awning deck\nflatbed\nparquet, parquet floor\nbackgammon board\npegboard\nfacade, frontage, frontal\nceiling\nbody\nfloor, level, storey, story\nbridge, span\ncorner, quoin\nconformation\nsuperstructure\nairdock, hangar, repair shed\ncross\nhouse of cards, cardhouse, card-house, cardcastle\nhull\ngun enclosure, gun turret, turret\nlookout, observation tower, lookout station, observatory\nbuilding complex, complex\nshelter\nhoneycomb\ncolumn, pillar\naltar\narch\ntower\ntransept\nmound, hill\nfountain\nobelisk\nfan vaulting\narcade, colonnade\nloggia\ncoil, spiral, volute, whorl, helix\nbillboard, hoarding\npartition, divider\nmasonry\nskein\ncolonnade\nobstruction, obstructor, obstructer, impediment, impedimenta\nbuilding, edifice\nsail\nprojection\nperistyle\ndoor\nstadium, bowl, arena, sports stadium\ndrinking fountain, water fountain, bubbler\narea\nbalcony\nporch\ndock, dockage, docking facility\nhigh altar\nhousing, lodging, living accommodations\nsupporting structure\nbalance, equilibrium, equipoise, counterbalance\ndefensive structure, defense, defence\nentablature\nmemorial, monument\nestablishment\nsignboard, sign\nbodywork\nfuselage\nground floor, first floor, ground level\nmezzanine, mezzanine floor, entresol\nloft, attic, garret\nbasement, cellar\nfootbridge, overcrossing, pedestrian bridge\ndrawbridge, lift bridge\ncantilever bridge\nrope bridge\noverpass, flyover\ntruss bridge\nviaduct\nsteel arch bridge\ncovered bridge\ngangplank, gangboard, gangway\nsuspension bridge\ntrestle bridge\nplant, works, industrial plant\ncollege\nwinery, wine maker\nfactory, mill, manufacturing plant, manufactory\ndistillery, still\noil refinery, petroleum refinery\nrefinery\nrolling mill\nfoundry, metalworks\nsteel mill, steelworks, steel plant, steel factory\nlumbermill, sawmill\nstamp mill, stamping mill\nquartz battery, quartz mill\nbattery, stamp battery\nharbor, harbour\nNissen hut, Quonset hut\nhovel, hut, hutch, shack, shanty\ntent, collapsible shelter\nhut, army hut, field hut\nigloo, iglu\ndugout\nmountain tent\npup tent, shelter tent\npavilion, marquee\nbackpacking tent, pack tent\nfly tent\ncanvas tent, canvas, canvass\nfield tent\nwall tent\ncircus tent, big top, round top, top\nGothic arch\nround arch\npointed arch\ntriumphal arch\nbroken arch\nMoorish arch, horseshoe arch\nRoman arch, semicircular arch\ncampanile, belfry\nturret\nclock tower\nshot tower\nchurch tower\nminaret\npylon, power pylon\nsilo\nwatchtower\ntrestle\npylon\nsteeple, spire\nfire tower\nhigh-rise, tower block\nsupporting tower\ncontrol tower\nbell tower\nbeacon, lighthouse, beacon light, pharos\nburial mound, grave mound, barrow, tumulus\nsnowbank, snow bank\nrampart, bulwark, wall\nfraise\nbattlement, crenelation, crenellation\naltarpiece, reredos\nwall\ngable, gable end, gable wall\nwainscoting, wainscotting\nattic\npediment\nbell gable\nbrickwork\nstonework\nbarrier\nobstacle\nplug, stopper, stopple\nlever, lever tumbler\ngrate, grating\nsafety rail, guardrail\nmovable barrier\nbannister, banister, balustrade, balusters, handrail\nbreakwater, groin, groyne, mole, bulwark, seawall, jetty\ngrille, radiator grille\nweir\nrailing, rail\nhurdle\nstarting gate, starting stall\nfence, fencing\ndam\ngate\ndoor\nlychgate, lichgate\nportcullis\nturnstile\nFrench window\ncar door\nscreen door, screen\nFrench door\ndouble door\ninterior door\nsliding door\nrevolving door, revolver\nbarn door\nhatchback, hatchback door\nstorm door\nwall\nretaining wall\nrail fence\nchainlink fence\ndry wall, dry-stone wall\nhedge, hedgerow\nworm fence, snake fence, snake-rail fence, Virginia fence\npicket fence, paling\nstone wall\nwater jump\nbunker, sand trap, trap\nearplug\ncork, bottle cork\ntap, spigot\npresbytery\nhotel\ntenement, tenement house\nabattoir, butchery, shambles, slaughterhouse\napartment building, apartment house\naviary, bird sanctuary, volary\nhall\nhouse\nRoman building\nrest house\noutbuilding\nfuneral home, funeral parlor, funeral parlour, funeral chapel, funeral church, funeral-residence\nmedical building, health facility, healthcare facility\nhotel-casino, casino-hotel\nlibrary\ncasino, gambling casino\nfarm building\nplace of worship, house of prayer, house of God, house of worship\nrestaurant, eating house, eating place, eatery\nministry\nrotunda\nobservatory\noffice building, office block\ntemple\nsignal box, signal tower\ngovernment building\ngreenhouse, nursery, glasshouse\nrink, skating rink\nplanetarium\npublic house, pub, saloon, pothouse, gin mill, taphouse\nbowling alley\nhouse\nruin\narchitecture\nskyscraper\ngazebo, summerhouse\nschool, schoolhouse\nchapterhouse\ntheater, theatre, house\nhall of residence\nconservatory, hothouse, indoor garden\ncenter, centre\nresort hotel, spa\nresort, resort hotel, holiday resort\nmotel\ndude ranch\nRitz\nski lodge\nhostel, hostelry, inn, lodge, auberge\nmotor hotel, motor inn, motor lodge, tourist court, court\ncity hall\nguildhall\nlyceum\nfield house, sports arena\noast house\ncourthouse\nshed\ngarage\ncarport, car port\nouthouse, privy, earth-closet, jakes\ncoach house, carriage house, remise\nboathouse\nwoodshed\napiary, bee house\nmaternity hospital\ndispensary\nstable, stalls, horse barn\nchicken coop, coop, hencoop, henhouse\ncowbarn, cowshed, cow barn, cowhouse, byre\nbarn\npantheon\nchurch, church building\ntemple\nshrine\nstupa, tope\nmasjid, musjid\nsynagogue, temple, tabernacle\nmosque\nchapel\nkirk\nabbey\ncathedral\ncathedral, duomo\nminster\ncafe, coffeehouse, coffee shop, coffee bar\nrotisserie\nautomat\nbrasserie\ncafeteria\ndiner\ncapitol\nembassy\ntown hall\nchancellery\ncustomhouse, customshouse\nStatehouse\ncourthouse\nice rink, ice-skating rink, ice\nice hockey rink, ice-hockey rink\nalehouse\nfree house\nsolar house\nbungalow, cottage\nrow house, town house\ncabin\nduplex house, duplex, semidetached house\nmansion, mansion house, manse, hall, residence\nlodging house, rooming house\ngatehouse\nlog cabin\nsaltbox\ncountry house\ndollhouse, doll's house\nranch house\nboarding house, boardinghouse\ndetached house, single dwelling\nvilla\nchalet\nresidence\nfarmhouse\nterraced house\nbrownstone\npalace, castle\nstately home\nmanor, manor house\nsummer house\ndacha\nvilla\nchateau\nmanse\nreligious residence, cloister\nglebe house\nparsonage, vicarage, rectory\npalace\nmonastery\nabbey\nabbey\nday school\nconservatory, conservatoire\nmusic school\nopera, opera house\nmusic hall, vaudeville theater, vaudeville theatre\ncinema, movie theater, movie theatre, movie house, picture palace\nlittle theater, little theatre\nhome theater, home theatre\ncontrol center\nsettlement house\ncall center, call centre\ncornice\ncog, sprocket\nboss\nbill, peak, eyeshade, visor, vizor\nflange, rim\nbrim\ntine\neaves\ntooth\npinhead\nfootball stadium\nhippodrome\ndome, domed stadium, covered stadium\nballpark, park\nbullring\namphitheater, amphitheatre, coliseum\npatio, terrace\ncorner, nook\nbaggage claim\nhideaway, retreat\nchoir\nbreakfast area, breakfast nook\nquad, quadrangle\nchancel, sanctuary, bema\nauditorium\ncourt, courtyard\ndining area\nroom\nassembly hall\nenclosure\nnave\naisle\nstorage space\ngoalmouth\nfood court\natrium\ncloister\nforecourt\ntoilet, lavatory, lav, can, john, privy, bathroom\nsun parlor, sun parlour, sun porch, sunporch, sunroom, sun lounge, solarium\nengineering, engine room\nsurgery\nrotunda\nclassroom, schoolroom\ngallery, art gallery, picture gallery\nmanor hall, hall\ncell, jail cell, prison cell\nlounge, waiting room, waiting area\nsauna, sweat room\ndressing room\nbilliard room, billiard saloon, billiard parlor, billiard parlour, billiard hall\nbelfry\nkitchen\nlibrary\nstoreroom, storage room, stowage\nworkroom\nsewing room\nanechoic chamber\ndining room, dining-room\nrecreation room, rec room\nhospital room\nreading room\nbooth, cubicle, stall, kiosk\nconference room\nbedroom, sleeping room, sleeping accommodation, chamber, bedchamber\nclean room, white room\nliving room, living-room, sitting room, front room, parlor, parlour\ndoor\nhall\nreception room\nboardroom, council chamber\nstudy\nlocker room\ncocktail lounge\ntelevision room, tv room\ncompartment\ncourt, courtroom\npoolroom\nbathroom, bath\ncontrol room\nanteroom, antechamber, entrance hall, hall, foyer, lobby, vestibule\nwater closet, closet, W.C., loo\nmen's room, men's\nwashroom\npublic toilet, comfort station, public convenience, convenience, public lavatory, restroom, toilet facility, wash room\nhome room, homeroom\nlecture room\nstudy hall\npantry, larder, buttery\nstockroom, stock room\nvault, bank vault\nrefectory\ndining-hall\ncanteen\nfamily room\nrumpus room, playroom, game room\nemergency room, ER\nrecovery room\noperating room, OR, operating theater, operating theatre, surgery\ntelephone booth, phone booth, call box, telephone box, telephone kiosk\nvoting booth\nconfessional\nshower stall, shower bath\nmaster bedroom\nmotel room\nguestroom\nhotel room\ndormitory, dormitory room, dorm room\nnursery, baby's room\nday nursery, day care center\ngreat hall\nconcert hall\npalace\nexhibition hall, exhibition area\nparlor, parlour\ndrawing room, withdrawing room\npress box\ncommand module\ncabin\npilothouse, wheelhouse\ncab\nluggage compartment, automobile trunk, trunk\ncabinet, locker, storage locker\ncockpit\nstateroom\ncar, elevator car\ncable car, car\nstall\ndrawing room\nterrarium\ncage, coop\nplaypen, pen\npen\nvivarium\npound, dog pound\nlock, lock chamber\nchicken yard, hen yard, chicken run, fowl run\nchamber\nrecess, niche\nbirdcage\nrabbit hutch\nhutch\ncow pen, cattle pen, corral\nrodeo\nfold, sheepfold, sheep pen, sheepcote\nsounding board, soundboard\nburial chamber, sepulcher, sepulchre, sepulture\nfiring chamber, gun chamber\nresonator, cavity resonator, resonating chamber\nfurnace\nbomb shelter, air-raid shelter, bombproof\nhyperbaric chamber\nrepository, monument\nmausoleum\nkiln\nblast furnace\noast\ngas oven\nincinerator\nmihrab\ncolumbarium, cinerarium\nfire\nfireplace, hearth, open fireplace\napse, apsis\ncellar, wine cellar\ncupboard, closet\nstacks\ngallery\namphitheater, amphitheatre\norgan loft\nstoop, stoep\nsun deck\nfront porch\nveranda, verandah, gallery\ndeck\nback porch\nportico\nmarina\ndry dock, drydock, graving dock\nblock\ndwelling, home, domicile, abode, habitation, dwelling house\ntennis camp\nliving quarters, quarters\nmobile home, manufactured home\ncondominium\napartment, flat\nward, hospital ward\ncellblock, ward\ncondominium, condo\nyurt\nlodge, indian lodge\nvacation home\nhearth, fireside\nfixer-upper\ncliff dwelling\nhomestead\nsemi-detached house\nwigwam\ntepee, tipi, teepee\naccommodation\nfirst class\ncabin class, second class, economy class\nbedsitting room, bedsitter, bedsit\nflatlet\nchassis\nsupport\nframework\npedestal, plinth, footstall\nbuttress, buttressing\nflying buttress, arc-boutant\nabutment\nribbing\nbustle\nwindow frame\nframe, framing\ngantry, gauntry\nhoneycomb\ntruss\nlattice, latticework, fretwork\ncornice, valance, valance board, pelmet\npicture frame\nwindow\nclimbing frame\ntrellis, treillage\nairframe\ngrate, grating\ngrape arbor, grape arbour\nwalker, baby-walker, go-cart\ncasing, case\ntambour, embroidery frame, embroidery hoop\narbor, arbour, bower, pergola\nrack\nmounting\nsash, window sash\ncasement\noriel, oriel window\nbay window, bow window\nstained-glass window\nskylight, fanlight\ndisplay window, shop window, shopwindow, show window\nrose window, rosette\nporthole\ntransom, transom window, fanlight\nclerestory, clearstory\ndormer, dormer window\ndormer window\nlancet window\nfanlight\nplate rack\nbarbecue, barbeque\nbicycle rack\nluggage rack, roof rack\ndish rack\ntowel rack, towel horse\npasse-partout\npave\nmount, setting\nstronghold, fastness\nfortress, fort\nfortification, munition\nbastion, citadel\nkeep, donjon, dungeon\nkremlin\nacropolis\nalcazar\nmartello tower\nfieldwork\nbastion\nescarpment, escarp, scarp, protective embankment\npalisade\ncastle\ncenotaph, empty tomb\nmegalith, megalithic structure\nSeven Wonders of the Ancient World, Seven Wonders of the World\nbrass, memorial tablet, plaque\nnational monument\npantheon\ndolmen, cromlech, portal tomb\nmenhir, standing stone\nplace of business, business establishment\ninstitution\nuniversity\nmercantile establishment, retail store, sales outlet, outlet\noffice, business office\ncabaret, nightclub, night club, club, nightspot\nhealth spa, spa, health club\nplaza, mall, center, shopping mall, shopping center, shopping centre\ncountry store, general store, trading post\ndepartment store, emporium\nshop, store\nmarketplace, market place, mart, market\nboutique, dress shop\nsalon, beauty salon, beauty parlor, beauty parlour, beauty shop\nshoe shop, shoe-shop, shoe store\nbookshop, bookstore, bookstall\npackage store, liquor store, off-licence\nthriftshop, second-hand store\njunk shop\ntoyshop\ncleaners, dry cleaners\nbazaar, bazar\ngift shop, novelty shop\nflorist, florist shop, flower store\ndrugstore, apothecary's shop, chemist's, chemist's shop, pharmacy\ngarage, service department\ndelicatessen, deli, food shop\nsmall stores\nbarbershop\nstall, stand, sales booth\ntobacco shop, tobacconist shop, tobacconist\nnewsstand\nbutcher shop, meat market\npizzeria, pizza shop, pizza parlor\nconfectionery, confectionary, candy store\nconvenience store\nbazaar, bazar\nagora\ngrocery store, grocery, food market, market\nopen-air market, open-air marketplace, market square\nsupermarket\nhypermarket\ngreengrocery\nsouk\nfarmer's market, green market, greenmarket\nflea market\nnewsroom\nbox office, ticket office, ticket booth\nheadquarters, central office, main office, home office, home base\ncorrectional institution\norphanage, orphans' asylum\njail, jailhouse, gaol, clink, slammer, poky, pokey\npenitentiary, pen\nprison, prison house\ntoiletry, toilet articles\nweaponry, arms, implements of war, weapons system, munition\nequipment\nconnection, connexion, connector, connecter, connective\nimplement\nfurnishing\ndevice\nceramic\nsystem\ncontainer\nconveyance, transport\nmedium\ndeodorant, deodourant\nbath oil\ncream, ointment, emollient\nlotion\nshaving cream, shaving soap\nhair spray\nmousse, hair mousse, hair gel\nperfume, essence\nhairdressing, hair tonic, hair oil, hair grease\nantiperspirant\npowder\ncosmetic\nbath salts\nhand cream\ncold cream, coldcream, face cream, vanishing cream\nsunscreen, sunblock, sun blocker\nlanolin\nbody lotion\ntoner\nhand lotion\nafter-shave, after-shave lotion\npotpourri\npatchouli, patchouly, pachouli\nperfumery\ncologne, cologne water, eau de cologne\ntoilet water, eau de toilette\npomade, pomatum\nbrilliantine\ntoilet powder, bath powder, dusting powder\ntalcum, talcum powder\ndepilatory, depilator, epilator\nhighlighter\nmakeup, make-up, war paint\nface powder\nlip-gloss\neyeshadow\nmascara\nlipstick, lip rouge\nrouge, paint, blusher\neyeliner\neyebrow pencil\narmament\ndefense system, defence system\nbomb\nammunition, ammo\nnaval weaponry\nbazooka\nartillery, heavy weapon, gun, ordnance\nlauncher, rocket launcher\ncannon\nfield artillery, field gun\nmortar, howitzer, trench mortar\nbasilisk\nhydrogen bomb, H-bomb, fusion bomb, thermonuclear bomb\natom bomb, atomic bomb, A-bomb, fission bomb, plutonium bomb\nround, unit of ammunition, one shot\nshotgun shell\nrecorder, recording equipment, recording machine\nsports equipment\nphotographic equipment\nnaval equipment\nparasail\ngear, paraphernalia, appurtenance\nsatellite, artificial satellite, orbiter\ngame equipment\nparachute, chute\nelectronic equipment\napparatus, setup\nautomation\nmaterial\nbaggage\ntape recorder, tape machine\ncassette recorder\nDictaphone\nvideocassette recorder, VCR\nbaseball equipment\ncroquet mallet\nclay pigeon\nskate\nwrestling mat\ncricket equipment\nbasketball equipment\njavelin\nshuttlecock, bird, birdie, shuttle\ngolf equipment\nspike\nstick\nboxing equipment\nboxing glove, glove\ngymnastic apparatus, exerciser\nweight, free weight, exercising weight\nbaseball glove, glove, baseball mitt, mitt\nbatting cage, cage\nbatting glove\nbase, bag\nbatting helmet\nbaseball bat, lumber\nhome plate, home base, home, plate\nfirst base\nthird base, third\nsecond base\nin-line skate\nRollerblade\nroller skate\nice skate\nhockey skate\nspeed skate, racing skate\nfigure skate\ncricket bat, bat\nwicket\ngolfcart, golf cart\ngolf glove\ntee, golf tee\ngolf club, golf-club, club\nwood\niron\ndriver, number one wood\nspoon\nwedge\nmidiron, two iron\nputter, putting iron\nniblick, nine iron\npitching wedge\nsand wedge\nhockey stick\npolo mallet, polo stick\nhorizontal bar, high bar\nhorse, gymnastic horse\nuneven parallel bars, uneven bars\nparallel bars, bars\ntrampoline\nbalance beam, beam\nvaulting horse, long horse, buck\npommel horse, side horse\ndumbbell\nbarbell\nenlarger\ncamera, photographic camera\nclapperboard\nfilm, photographic film\nlight meter, exposure meter, photometer\nbox camera, box Kodak\nflash camera\nPolaroid camera, Polaroid Land camera\npoint-and-shoot camera\nwebcam\nmotion-picture camera, movie camera, cine-camera\ndigital camera\nportrait camera\nreflex camera\nX-ray film\nreel\nnegative\nregalia\nkit, outfit\nrig\nfishing gear, tackle, fishing tackle, fishing rig, rig\nstable gear, saddlery, tack\nrigging, tackle\ncrown, diadem\ncrown jewels\nsewing kit\nfirst-aid kit\ncarpenter's kit, tool kit\nlayette\ndrill rig, drilling rig, oilrig, oil rig\ndrilling platform, offshore rig\nharness\nsnaffle, snaffle bit\nheadgear\nsaddle blanket, saddlecloth, horse blanket\nhalter, hackamore\nbridle\nsputnik\nspace station, space platform, space laboratory\nbackboard, basketball backboard\nball\npuzzle\npool table, billiard table, snooker table\nbowling pin, pin\nman, piece\nchip, poker chip\nroulette wheel, wheel\ngoal\nvolleyball net\npinball machine, pin table\nsoccer ball\npool ball\nbowling ball, bowl\nsoftball, playground ball\nfield hockey ball\npunching bag, punch bag, punching ball, punchball\nbilliard ball\ncroquet ball\ncricket ball\ntennis ball\ngolf ball\nrugby ball\ncue ball\nmedicine ball\nbasketball\neight ball\nping-pong ball\nhandball\nbaseball\nracquetball\nbocce ball, bocci ball, boccie ball\nvolleyball\njigsaw puzzle\ncrossword puzzle, crossword\nchessman, chess piece\nwhite\npawn\nbasket, basketball hoop, hoop\nnet\nelectronic fetal monitor, electronic foetal monitor, fetal monitor, foetal monitor\nmonitor\nmonitor\ntelevision monitor, tv monitor\ntelephone, phone, telephone set\noscilloscope, scope, cathode-ray oscilloscope, CRO\nperipheral, computer peripheral, peripheral device\nbooster, booster amplifier, booster station, relay link, relay station, relay transmitter\ncassette player\nCD player\nreceiver, receiving system\naudio system, sound system\nlens, electron lens\nplayback\ntelevision equipment, video equipment\ncircuitry\ncassette deck\ncentral processing unit, CPU, C.P.U., central processor, processor, mainframe\nmixer\nscanner, electronic scanner\ntape player\ndetector\nmodem\nequalizer, equaliser\ntape deck\namplifier\ncellular telephone, cellular phone, cellphone, cell, mobile phone\nspeakerphone\ndesk phone\npay-phone, pay-station\nhandset, French telephone\ndial telephone, dial phone\nradiotelephone, radiophone, wireless telephone\ntelevision receiver, television, television set, tv, tv set, idiot box, boob tube, telly, goggle box\nradio receiver, receiving set, radio set, radio, tuner, wireless\nsatellite receiver\nheterodyne receiver, superheterodyne receiver, superhet\nclock radio\nreproducer\nhi-fi, high fidelity sound system\nstereo, stereophony, stereo system, stereophonic system\niPod\nWalkman\nvideo iPod\nghetto blaster, boom box\ncamcorder\ntelevision camera, tv camera, camera\npendulum\npurifier\nsequencer, sequenator\nreformer\nduplicator, copier\nheat pump\nsemaphore\ntomograph\nultracentrifuge\ngenerator\nincubator, brooder\nburner\nFoucault pendulum\nclock pendulum\nmetronome\nPhotostat, Photostat machine\nphotocopier\nXerox, xerographic copier, Xerox machine\nfacsimile, facsimile machine, fax\nmimeograph, mimeo, mimeograph machine, Roneo, Roneograph\npositron emission tomography scanner, PET scanner\ncomputerized axial tomography scanner, CAT scanner\ngas burner, gas jet\nblowtorch, torch, blowlamp\nbunsen burner, bunsen, etna\ngas ring\npackaging\nblister pack, bubble pack\nroofing\ntemporary hookup, patch\nslip ring\ntelephone line, phone line, telephone circuit, subscriber line, line\nligament\njunction, conjunction\nhot line\ndigital subscriber line, DSL\nland line, landline\nbinder, ligature\nwire\nchain\nconcertina\nbarbed wire, barbwire\npaper chain\nanchor chain, anchor rope\nfob, watch chain, watch guard\nbicycle chain\ntire chain, snow chain\nchatelaine\njoint\ncontact, tangency\ndovetail, dovetail joint\nwelt\nhinge, flexible joint\nscarf joint, scarf\nweld\nseam\nmortise joint, mortise-and-tenon joint\nbutt hinge\nstrap hinge, joint hinge\ndistributor point, breaker point, point\ntread\nwiper, wiper arm, contact arm\nbar\ntool\nutensil\nrubber eraser, rubber, pencil eraser\nneedle\neraser\nstick\nbrush\nhook\nsharpener\nsports implement\nleather strip\nswatter, flyswatter, flyswat\nfire iron\noar\nstick\ncleaning implement, cleaning device, cleaning equipment\nrod\nwriting implement\nshovel\nsplit rail, fence rail\nfret\nbolt, deadbolt\nrotor\ntowel rail, towel bar\nlever\ntrack, rail, rails, runway\nhandlebar\ncrowbar, wrecking bar, pry, pry bar\nstick, control stick, joystick\nkey\ntappet\npedal, treadle, foot pedal, foot lever\nrocker arm, valve rocker\ngun trigger, trigger\nspace bar\nbackspace key, backspace, backspacer\nshift key, shift\ntelegraph key\naccelerator, accelerator pedal, gas pedal, gas, throttle, gun\nsustaining pedal, loud pedal\nhand tool\njack\npestle, muller, pounder\ngarden tool, lawn tool\nplow, plough\ncomb\ndrill\ncutting implement\ntamp, tamper, tamping bar\ngarden rake\nrake\nstamp\nlocking pliers\npestle\nplunger, plumber's helper\npincer, pair of pincers, tweezer, pair of tweezers\npliers, pair of pliers, plyers\nsoldering iron\nspade\nhammer\npipe cutter\nwrench, spanner\nscrewdriver\ntrowel\nsaw\nopener\nscraper\nshovel\nbrick trowel, mason's trowel\nspatula\ncarpenter's hammer, claw hammer, clawhammer\ngavel\nmallet, beetle\nmaul, sledge, sledgehammer\ntorque wrench\npipe wrench, tube wrench\nadjustable wrench, adjustable spanner\nopen-end wrench, tappet wrench\nAllen wrench\nbox wrench, box end wrench\nhacksaw, hack saw, metal saw\nfolding saw\nhandsaw, hand saw, carpenter's saw\npruner, pruning hook, lopper\npruning saw\ncorkscrew\nbottle opener\ncan opener, tin opener\nhedge trimmer\nlawn mower, mower\npower mower, motor mower\nriding mower\npower drill\nelectric drill\ncutter, cutlery, cutting tool\ntwist bit, twist drill\nbit\nblade\nknife blade\nbolt cutter\ncigar cutter\nedge tool\nscissors, pair of scissors\nknife\nax, axe\nrazor\nwire cutter\nchisel\nplane, carpenter's plane, woodworking plane\nshears\nsnips, tinsnips\npruning shears\nsecateurs\ncarving knife\nBowie knife\npocketknife, pocket knife\ncleaver, meat cleaver, chopper\nhunting knife\ncase knife, sheath knife\nparer, paring knife\nletter opener, paper knife, paperknife\nswitchblade, switchblade knife, flick-knife, flick knife\npenknife\nbattle-ax, battle-axe\nhatchet\nshaver, electric shaver, electric razor\nstraight razor\nsafety razor\ncold chisel, set chisel\nwood chisel\njointer, jointer plane, jointing plane, long plane\nsmooth plane, smoothing plane\nspokeshave\nkitchen utensil\nceramic ware\nfunnel\nrolling pin\nreamer, juicer, juice reamer\nmasher\nkitchenware\nsqueezer\nmixer\ncookie cutter\ncooking utensil, cookware\ngrater\nmincer, mincing machine\neggbeater, eggwhisk\nwhisk\nblender, liquidizer, liquidiser\npan, cooking pan\nCrock Pot\nchafing dish\nspatula\ngriddle\nenamelware\nsteamer\ncookie sheet, baking tray\ncooker\nturner, food turner\nomelet pan, omelette pan\nstewing pan, stewpan\nfrying pan, frypan, skillet\nroaster\nwok\nsaucepan\ngraniteware\ncloisonne\nporcelain\nearthenware\nstoneware\npottery, clayware\nSpode\nchina\nbone china\nmajolica, maiolica\nfaience\nknitting needle\ncrochet needle, crochet hook\nwalking stick\nmatchstick\nclub\nfiddlestick, violin bow\nspindle\nstob\nstaff\ndrumstick\nmallet, hammer\ncane\nsword cane, sword stick\nbat\ntable-tennis racquet, table-tennis bat, pingpong paddle\ntruncheon, nightstick, baton, billy, billystick, billy club\nalpenstock\nflagpole, flagstaff\ncrutch\nelectric toothbrush\ntoothbrush\nsable, sable brush, sable's hair pencil\nscrub brush, scrubbing brush, scrubber\nhairbrush\nbristle brush\nshaving brush\npencil sharpener\nsteel\ncue, cue stick, pool cue, pool stick\nracket, racquet\nsquash racket, squash racquet, bat\ntennis racket, tennis racquet\nbadminton racket, badminton racquet, battledore\nthong\nstrap\ncheekpiece\nrein\nnoseband, nosepiece\nleading rein\nscull\npaddle, boat paddle\nbesom\nscouring pad\ndustmop, dust mop, dry mop\nsqueegee\nbroom\nswab, swob, mop\nrotating shaft, shaft\nwand\nshaft\npiston rod\nkickstand\naxle\npole\nfishing rod, fishing pole\nconnecting rod\ntie rod\ndriveshaft\ncrankshaft\ntransmission shaft\nspindle, mandrel, mandril, arbor\ncamshaft\nboom, microphone boom\nstilt\nski pole\nclothes tree, coat tree, coat stand\ncaber\nspar\nmast\nmast\nbowsprit\nyard\nmizzenmast, mizenmast, mizzen, mizen\nroyal mast\nmainmast\nforemast\nfly rod\nspinning rod\npencil\npen\nhighlighter\nchalk\ncrayon, wax crayon\nlead pencil\nballpoint, ballpoint pen, ballpen, Biro\nSharpie\nquill, quill pen\nfountain pen\nfelt-tip pen, felt-tipped pen, felt tip, Magic Marker\nfurniture, piece of furniture, article of furniture\noffice furniture\ndining-room furniture\nwardrobe, closet, press\nbedroom furniture\ntable\ntable\nwall unit\nlamp\ndining-room table\nwashstand, wash-hand stand\nbuffet, counter, sideboard\ncabinet\nbaby bed, baby's bed\nbedstead, bedframe\nlawn furniture\ncredenza, credence\nbookcase\nentertainment center\netagere\nseat\nsectional\nchest of drawers, chest, bureau, dresser\nfile, file cabinet, filing cabinet\nRolodex\ncard index, card catalog, card catalogue\nvertical file\nclothes closet, clothespress\narmoire\nbed\nberth, bunk, built in bed\nplatform bed\nhospital bed\nbunk\ntrundle bed, trundle, truckle bed, truckle\nfour-poster\ncouch\nbunk bed, bunk\ntwin bed\nsleigh bed\nsingle bed\nhammock, sack\nMurphy bed\ndouble bed\ngaming table\ngueridon\ntable-tennis table, ping-pong table, pingpong table\ncounter\naltar, communion table, Lord's table\nbreakfast table\nstand\nconference table, council table, council board\npedestal table\nkitchen table\noperating table\ntea table\nlectern, reading desk\nworktable, work table\ngateleg table\ndressing table, dresser, vanity, toilet table\ndesk\ndrop-leaf table\ncoffee table, cocktail table\ntrestle table\nconsole table, console\ncheckout, checkout counter\nbar\nmeat counter\nreception desk\nsalad bar\nsnack bar, snack counter, buffet\ndrafting table, drawing table\nlab bench, laboratory bench\nwriting desk\nsecretary, writing table, escritoire, secretaire\ndavenport\ndining table, board\ndinner table\nrefectory table\nfloor lamp\ntable lamp\nreading lamp\ndresser\nchina cabinet, china closet\nmedicine chest, medicine cabinet\nbassinet\ncrib, cot\ncarrycot\ncradle\nchair\ntoilet seat\nstool\nsofa, couch, lounge\nottoman, pouf, pouffe, puff, hassock\nbench\nlawn chair, garden chair\nchaise longue, chaise, daybed\nrocking chair, rocker\nswivel chair\nthrone\nstraight chair, side chair\nladder-back, ladder-back chair\nhighchair, feeding chair\narmchair\nWindsor chair\nfolding chair\nwheelchair\nmotorized wheelchair\nbarber chair\neasy chair, lounge chair, overstuffed chair\nrecliner, reclining chair, lounger\nMorris chair\nwing chair\ndeck chair, beach chair\ncamp chair\nmusic stool, piano stool\ntaboret, tabouret\nfootstool, footrest, ottoman, tuffet\nsettee\ndaybed, divan bed\nconvertible, sofa bed\nlove seat, loveseat, tete-a-tete, vis-a-vis\nchesterfield\nstudio couch, day bed\npark bench\nflat bench\npew, church bench\nsettle, settee\nwindow seat\nchiffonier, commode\nhighboy, tallboy\nbird feeder, birdfeeder, feeder\nheater, warmer\nlighter, light, igniter, ignitor\nsignal, signaling, sign\nconverter, convertor\ncrusher\ndrive\nknocker, doorknocker, rapper\npeeler\nmusical instrument, instrument\nshoehorn\nshock absorber, shock, cushion\nmachine\nconductor\nbait, decoy, lure\nstabilizer, stabiliser\nfilter\nmechanism\nacoustic device\ntrap\ncharger, battery charger\nairfoil, aerofoil, control surface, surface\nrouter\npick, plectrum, plectron\nenergizer, energiser\nfan\nhydrofoil, foil\ndental appliance\nadapter, adaptor\ntoy\nsupport\noptical device\nstraightener\ntongs, pair of tongs\nphonograph needle, needle\ninstrument\ncomb\nremote control, remote\nexercise device\ncomforter, pacifier, baby's dummy, teething ring\nwashboard\nshredder\nwater ski\nblower\nventilator\nbreathing device, breathing apparatus, breathing machine, ventilator\napplicator, applier\nskeleton key\nguitar pick\nrestraint, constraint\nkeyboard\nelectrical device\nappliance, contraption, contrivance, convenience, gadget, gizmo, gismo, widget\nfire extinguisher, extinguisher, asphyxiator\ncorrective, restorative\nreflector\nalarm, warning device, alarm system\nelectronic device\nsnowshoe\nholding device\nmemory device, storage device\nkey\nnoisemaker\nsource of illumination\nindicator\ndetector, sensor, sensing element\nbreathalyzer, breathalyser\nimprint\nafterburner\nhorn\nelastic device\nski\nlifting device\nsolar heater\nelectric heater, electric fire\nradiator\ngas heater\nconvector\nspace heater\nstove\ncigar lighter, cigarette lighter, pocket lighter\nmatch, lucifer, friction match\ncairn\nsign\nstreet sign\ntraffic light, traffic signal, stoplight\nelectrical converter\ncatalytic converter\ninverter\nsynchronous converter, rotary, rotary converter\nexternal drive\nCD-ROM drive\ninternal drive\nstringed instrument\nelectronic instrument, electronic musical instrument\nkeyboard instrument\nwind instrument, wind\nbass\npercussion instrument, percussive instrument\ndulcimer\nchordophone\nbanjo\nzither, cither, zithern\nsamisen, shamisen\nguitar\nbowed stringed instrument, string\nsitar\nlute\nmandola\nmandolin\nharp\nacoustic guitar\nHawaiian guitar, steel guitar\nuke, ukulele\nelectric guitar\nviol\nviolin, fiddle\ncello, violoncello\nviola\nviola da gamba, gamba, bass viol\nStradavarius, Strad\ntheremin\nelectric organ, electronic organ, Hammond organ, organ\nsynthesizer, synthesiser\npiano, pianoforte, forte-piano\nclavier, Klavier\norgan, pipe organ\naccordion, piano accordion, squeeze box\ngrand piano, grand\nupright, upright piano\nspinet\nmechanical piano, Pianola, player piano\nbaby grand, baby grand piano, parlor grand, parlor grand piano, parlour grand, parlour grand piano\nconcert grand, concert piano\nharpsichord, cembalo\nspinet\nocarina, sweet potato\nwoodwind, woodwind instrument, wood\nbrass, brass instrument\norgan pipe, pipe, pipework\nfree-reed instrument\nwhistle\npipe\nkazoo\nflute, transverse flute\nbeating-reed instrument, reed instrument, reed\ndouble-reed instrument, double reed\nsingle-reed instrument, single-reed woodwind\nbassoon\noboe, hautboy, hautbois\nclarinet\nsax, saxophone\nbaritone, baritone horn\nbugle\nflugelhorn, fluegelhorn\nFrench horn, horn\ntrombone\ncornet, horn, trumpet, trump\nharmonium, organ, reed organ\nharmonica, mouth organ, harp, mouth harp\nconcertina\nchanter, melody pipe\npanpipe, pandean pipe, syrinx\nbagpipe\nfipple flute, fipple pipe, recorder, vertical flute\npennywhistle, tin whistle, whistle\ndrone, drone pipe, bourdon\nbass fiddle, bass viol, bull fiddle, double bass, contrabass, string bass\nbass horn, sousaphone, tuba\nbass guitar\neuphonium\nhandbell\nbones, castanets, clappers, finger cymbals\ngong, tam-tam\nvibraphone, vibraharp, vibes\nsteel drum\nmarimba, xylophone\nglockenspiel, orchestral bells\nchime, bell, gong\nkettle, kettledrum, tympanum, tympani, timpani\nmaraca\ndrum, membranophone, tympan\ncymbal\nbongo, bongo drum\nbass drum, gran casa\ntambourine\nsnare drum, snare, side drum\ntenor drum, tom-tom\nslot machine, coin machine\npower shovel, excavator, digger, shovel\npress, mechanical press\nbackhoe\nprinter, printing machine\nmachine tool\nmotor\nsnow thrower, snow blower\ncash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM\nfarm machine\ncomputer, computing machine, computing device, data processor, electronic computer, information processing system\nZamboni\nmill, grinder, milling machinery\nstaple gun, staplegun, tacker\npower tool\nconcrete mixer, cement mixer\nstapler, stapling machine\nslicer\ntextile machine\nrecord player, phonograph\ncalculator, calculating machine\nvending machine\nslot, one-armed bandit\nautomat\ngarlic press\nbench press\nhydraulic press\npunch press\ncharacter printer, character-at-a-time printer, serial printer\nimpact printer\nprinter\ndrum printer\nline printer, line-at-a-time printer\nlaser printer\nLinotype, Linotype machine\nthermal printer\nportable\ntypewriter\nbar printer\nwire matrix printer, wire printer, stylus printer\ndot matrix printer, matrix printer, dot printer\nbubble jet printer, bubble-jet printer, bubblejet\nink-jet printer\nshaper, shaping machine\ndrill press\ngrinder\nlathe\nmiller, milling machine\nengine\nelectric motor\nheat engine\njet engine\nautomobile engine\naircraft engine\ngenerator\nsteam engine\ninternal-combustion engine, ICE\nwind turbine\ngasoline engine, petrol engine\ndiesel, diesel engine, diesel motor\noutboard motor, outboard\nradial engine, rotary engine\nrocket, rocket engine\nfanjet, fan-jet, fanjet engine, turbojet, turbojet engine, turbofan, turbofan engine\nbooster, booster rocket, booster unit, takeoff booster, takeoff rocket\nspace rocket\nalternator\nwindmill, aerogenerator, wind generator\nstarter, starter motor, starting motor\nkick starter, kick start\ncultivator, tiller\nhaymaker, hay conditioner\ncombine\nthresher, thrasher, threshing machine\nharvester, reaper\ndisk harrow, disc harrow\nharrow\nslide rule, slipstick\nweb site, website, internet site, site\nhome computer\nserver, host\ndigital computer\nsupercomputer\nworkstation\npersonal computer, PC, microcomputer\nportable computer\ndesktop computer\nnotebook, notebook computer\nplanner\nlaptop, laptop computer\nhand-held computer, hand-held microcomputer\npepper mill, pepper grinder\nwater mill\nmeat grinder\ncoffee mill, coffee grinder\ntreadmill, treadwheel, tread-wheel\nwindmill\nelectric hammer\npower saw, saw, sawing machine\nbuffer, polisher\ncircular saw, buzz saw\nchain saw, chainsaw\ntable saw\nsaber saw, jigsaw, reciprocating saw\nbandsaw, band saw\nspinning wheel\nloom\njukebox, nickelodeon\ngramophone, acoustic gramophone\nabacus\nadding machine, totalizer, totaliser\nhand calculator, pocket calculator\nsemiconductor device, semiconductor unit, semiconductor\nwire, conducting wire\ncord, electric cord\nheat sink\ncable, line, transmission line\nmicroprocessor\ntransistor, junction transistor, electronic transistor\nlight-emitting diode, LED\nchip, microchip, micro chip, silicon chip, microprocessor chip\nfilament\njumper cable, jumper lead, lead, booster cable\ntelephone wire, telephone line, telegraph wire, telegraph line\npatchcord\ntelephone cord, phone cord\npower cord\nextension cord\nethernet cable\nelectrical cable\nprinter cable\npower line, power cable\nfisherman's lure, fish lure\nfly\ndry fly\nwet fly\nstreamer fly\noutrigger\nvane\nstrainer\nair filter, air cleaner\noil filter\nsieve, screen\ntea-strainer\ncolander, cullender\nfusee drive, fusee\nandroid, humanoid, mechanical man\nradiator\nmechanical device\nrotating mechanism\nrotor head, rotor shaft\ncarriage\ncontrol, controller\npower steering, power-assisted steering\nautomaton, robot, golem\naction, action mechanism\ncooling system, cooling\ngear, gear mechanism\ntape drive, tape transport, transport\nfilm advance\nsprinkler\npropeller, propellor\nanchor, ground tackle\ngolf-club head, club head, club-head, clubhead\nweathervane, weather vane, vane, wind vane\nmachine, simple machine\nseeder\npump\ngearshift, gearstick, shifter, gear lever\nride\nbumper\nhook, claw\nski binding, binding\ncoupling, coupler\nrecord changer, auto-changer, changer\nswing\nwindshield wiper, windscreen wiper, wiper, wiper blade\nwinder, key\nwinder\ndiaphragm, stop\nshutter\nescapement\nbroadcaster, spreader\ncurler, hair curler, roller, crimper\nsplint\ncompressor\nair compressor\ncarburetor, carburettor\ncartridge holder, cartridge clip, clip, magazine\ntrapeze\ngearing, gear, geartrain, power train, train\nstator, stator coil\nairplane propeller, airscrew, prop\npulley, pulley-block, pulley block, block\nwheel\nidle pulley, idler pulley, idle wheel\nlever\ninclined plane\nmillwheel, mill wheel\nwaterwheel, water wheel\nroller\nbicycle wheel\ncaster, castor\ngrinding wheel, emery wheel\nrowel\nfifth wheel, spare\nwagon wheel\nwaterwheel, water wheel\ncar wheel\nsprocket, sprocket wheel\npinwheel\npotter's wheel\ngear, gear wheel, geared wheel, cogwheel\ndriving wheel\npaddlewheel, paddle wheel\nroulette, toothed wheel\nspur gear, spur wheel\nbevel gear, pinion and crown wheel, pinion and ring gear\npinion\nramp, incline\nax head, axe head\ngrease-gun, gun\ngas pump, gasoline pump, petrol pump, island dispenser\nbicycle pump\nsump pump\nhand pump\ncentrifugal pump\nFerris wheel\nroller coaster, big dipper, chute-the-chute\ncarousel, carrousel, merry-go-round, roundabout, whirligig\nuniversal joint, universal\nclutch\nfreewheel\ndisk clutch\nbobbin, spool, reel\nreel\nshuttle\nblade, vane\ngyroscope, gyro\ncircle, round\nrotor\npaddle\nimpeller\nfan blade\ndisk, disc\npuck, hockey puck\nbrake disk\ntoken\nFrisbee\nplanchet, coin blank\ntail rotor, anti-torque rotor\nmain rotor\nvalve\nsteering wheel, wheel\ngovernor, regulator\njoystick\nregulator\nswitch, electric switch, electrical switch\nball valve\nbutterfly valve\ntimer\nflywheel\nfaucet, spigot\nthermostat, thermoregulator\naperture\nmixing faucet\nstopcock, turncock\ntoggle switch, toggle, on-off switch, on/off switch\npush button, push, button\ndial, telephone dial\nhorn button\nmouse button\ndoorbell, bell, buzzer\nbell push\nflintlock\nmovement\ngunlock, firing mechanism\ncooling tower\nevaporative cooler\nair conditioner, air conditioning\ngearset\nfour-wheel drive, 4WD\nwhistle\nsilencer, muffler\nmegaphone\nhearing aid, ear trumpet\nbell\ncowbell\nchurch bell\ndinner bell\nspider web, spider's web\nmousetrap\nlobster pot\nweb, entanglement\nnet\nlanding net\nfishnet, fishing net\nvertical stabilizer, vertical stabiliser, vertical fin, tail fin, tailfin\nspoiler\nspoiler\nrotor blade, rotary wing\nflap, flaps\nrudder\nhorizontal stabilizer, horizontal stabiliser, tailplane\nwing\nexhaust fan\nelectric fan, blower\nbrace, braces, orthodontic braces\ndenture, dental plate, plate\nbackboard\nstirrup, stirrup iron\npier\npier\nback, backrest\nshelf\nlanding gear\nbaluster\nspoke, wheel spoke, radius\nbase, pedestal, stand\nstep, stair\nbrace\npillow block\nbearing\nrocker\ncoat hanger, clothes hanger, dress hanger\nharp\nrest\nbracket, wall bracket\ntailstock\nbookend\nstructural member\nheadstock\nseat\nthrust bearing\nhanger\nrack, stand\nharness\ncantle\nladder-back\nbookshelf\nmantel, mantelpiece, mantle, mantlepiece, chimneypiece\nneck brace\nknee brace\nankle brace\nback brace\narm\nheadrest\nchin rest\narmrest\nsconce\ncorbel, truss\nshelf bracket\nsill\nriser\nupright, vertical\nbrace, bracing\ntread\nbeam\nwindowsill\ndoorsill, doorstep, threshold\nstile\njamb\ncolumn, pillar\npost\nsupport column\ncaryatid\ngoalpost\nnewel post, newel\nbollard, bitt\nlamppost\ntelephone pole, telegraph pole, telegraph post\nmaypole\ntimber\nrundle, spoke, rung\ntie, railroad tie, crosstie, sleeper\nrafter, balk, baulk\ngirder\ntimber\nfloor joist\njoist\ncar seat\npillion\nplane seat\nsaddle\nchair\nbicycle seat, saddle\nbucket seat\nbackseat\nstock saddle, Western saddle\nEnglish saddle, English cavalry saddle\ntripod\nspice rack\nmagazine rack\nmusic stand, music rack\ncamera tripod\neasel\nautofocus\nprojector\nfinder, viewfinder, view finder\nlaser, optical maser\nlens, lense, lens system\nobjective, objective lens, object lens, object glass\ncondenser, optical condenser\ncamera lens, optical lens\nanastigmat\ncontact, contact lens\nsunglass\neyepiece, ocular\nfield lens\nFresnel lens\nportrait lens\ncloseup lens\ntelephoto lens, zoom lens\nwide-angle lens, fisheye lens\nplotter\nscientific instrument\nmeasuring instrument, measuring system, measuring device\nweapon, arm, weapon system\nguillotine\ndrafting instrument\nanalyzer, analyser\nnavigational instrument\noptical instrument\nmedical instrument\ninstrument of punishment\ncatapult, arbalest, arbalist, ballista, bricole, mangonel, onager, trebuchet, trebucket\nextractor\ntheodolite, transit\nriding crop, hunting crop\ntachymeter, tacheometer\ncollider\nmicrotome\naccelerator, particle accelerator, atom smasher\nstroboscope, strobe, strobe light\nmagnifier\nconsole\ntelescope, scope\nmicroscope\nastronomical telescope\nequatorial\noptical telescope\nradio telescope, radio reflector\nrefracting telescope\nfield glass, glass, spyglass\nreflecting telescope, reflector\nCassegrainian telescope, Gregorian telescope\nNewtonian telescope, Newtonian reflector\nSchmidt telescope, Schmidt camera\nMaksutov telescope\nelectron microscope\nfield-emission microscope\nlight microscope\nbinocular microscope\nhand glass, simple microscope, magnifying glass\noperating microscope\ncompound microscope\nloupe, jeweler's loupe\noximeter\ndropper, eye dropper\nrefractometer\nrangefinder, range finder\nbarometer\npedometer\nthermometer\nastrolabe\nmeasuring stick, measure, measuring rod\ngauge, gage\ntimepiece, timekeeper, horologe\naneroid barometer, aneroid\ncaliper, calliper\npotentiometer\ntachometer, tach\nscale, weighing machine\ntape, tapeline, tape measure\nmeter\nhygrometer\nsextant\nrule, ruler\naltazimuth\npyrometer\nmeat thermometer\nwater gauge, water gage, water glass\nvacuum gauge, vacuum gage\nanemometer, wind gauge, wind gage\ngasoline gauge, gasoline gage, gas gauge, gas gage, petrol gauge, petrol gage\npressure gauge, pressure gage\nmanometer\nsphygmomanometer\natomic clock\nclock\nwatch, ticker\nsundial\ntimer\nhourglass\ngrandfather clock, longcase clock\ndigital clock\nalarm clock, alarm\nwall clock\nanalog clock\npendulum clock\ncuckoo clock\ndigital watch\nanalog watch\npocket watch\nwristwatch, wrist watch\nstopwatch, stop watch\nparking meter\nchronograph\nvernier caliper, vernier micrometer\nmicrometer, micrometer gauge, micrometer caliper\nbalance\nanalytical balance, chemical balance\nelectronic balance\nelectric meter, power meter\nodometer, hodometer, mileometer, milometer\nammeter\nspeedometer, speed indicator\nohmmeter\nwater meter\nvoltmeter\nmagnetometer, gaussmeter\ntomahawk, hatchet\ngun\nbow\nbow and arrow\nbrass knucks, knucks, brass knuckles, knuckles, knuckle duster\nknife\nsword, blade, brand, steel\nstun gun, stun baton\nprojectile, missile\nantiaircraft, antiaircraft gun, flak, flack, pom-pom, ack-ack, ack-ack gun\nfirearm, piece, small-arm\nset gun, spring gun\nair gun, airgun, air rifle\ngas gun\npaintball gun\ncannon\nautoloader, self-loader\npistol, handgun, side arm, shooting iron\ntwenty-two, .22\nMauser\nmuzzle loader\nrifle\nrepeating firearm, repeater\nsemiautomatic firearm\nautomatic firearm, automatic gun, automatic weapon\nGarand rifle, Garand, M-1, M-1 rifle\nLuger\nsemiautomatic pistol, semiautomatic\nautomatic rifle, automatic, machine rifle\nassault rifle, assault gun\nautomatic pistol, automatic\nmachine gun\nsubmachine gun\nburp gun, machine pistol\nUzi\nKalashnikov\nTommy gun, Thompson submachine gun\nColt\nderringer\nrevolver, six-gun, six-shooter\ngat, rod\nflintlock, firelock\nmusket\nsniper rifle, precision rifle\nWinchester\ncarbine\ncrossbow\nlongbow\nkhukuri\nbayonet\nmachete, matchet, panga\ndagger, sticker\nrapier, tuck\nfencing sword\nbroadsword\ncavalry sword, saber, sabre\nsaber, sabre\nepee\nfoil\nbullet, slug\ncannonball, cannon ball, round shot\ncompass\nprotractor\nartificial horizon, gyro horizon, flight indicator\ndepth finder\nmagnetic compass\ncompass\nbinoculars, field glasses, opera glasses\nspectacles, specs, eyeglasses, glasses\nprojector\ntelescopic sight, telescope sight\ngoggles\nsunglasses, dark glasses, shades\nslide projector\nfront projector\nmovie projector, cine projector, film projector\noverhead projector\nhypodermic syringe, hypodermic, hypo\ncardiograph, electrocardiograph\nsyringe\nstethoscope\nlaryngoscope\notoscope, auriscope, auroscope\nsurgical instrument\nretractor\nhemostat, haemostat\npillory\nrattan, ratan\nexercise bike, exercycle\ntreadmill\nrespirator, inhalator\nsnorkel\noxygen mask\naqualung, Aqua-Lung, scuba\npaintbrush\nspray gun\nbrake\nhandcuff, cuff, handlock, manacle\nfastener, fastening, holdfast, fixing\nseat belt, seatbelt\nleash, tether, lead\nsafety belt, life belt, safety harness\nbrake system, brakes\nmuzzle\nchain\nbolt\nbuckle\nknot\ncleat\nclothespin, clothes pin, clothes peg\ncatch\npin\ndowel, dowel pin, joggle\nslide fastener, zip, zipper, zip fastener\nbutton\nseal\npaper fastener\nlock\nthumbtack, drawing pin, pushpin\nlocker\nclasp\nclip\ncarabiner, karabiner, snap ring\nnail\ntoggle\nnut and bolt\nbowline, bowline knot\nbow, bowknot\nlatch\nhasp\nrivet\nhairpin\nskewer\nhatpin\nbrochette\nbobby pin, hairgrip, grip\nbarrette\nsafety pin\nshirt button\ncoat button\nwasher\ngasket\nhead gasket\nO ring\npadlock\nsash fastener, sash lock, window lock\nlatch, door latch\ncombination lock\ndoorlock\npaper clip, paperclip, gem clip\nbulldog clip, alligator clip\nhair slide\nhydraulic brake, hydraulic brakes\ndisk brake, disc brake\ndrum brake\ntypewriter keyboard\nQWERTY keyboard\ncomputer keyboard, keypad\npiano keyboard, fingerboard, clavier\ncircuit, electrical circuit, electric circuit\nSegway, Segway Human Transporter, Segway HT\njack\ncontrol panel, instrument panel, control board, board, panel\ntelephone jack, phone jack\ncircuit breaker, breaker\nplug, male plug\nelectrolytic, electrolytic capacitor, electrolytic condenser\ndashboard, fascia\ntransducer\nsolar cell, photovoltaic cell\nantenna, aerial, transmitting aerial\ncapacitor, capacitance, condenser, electrical condenser\nspark plug, sparking plug, plug\nrelay, electrical relay\nsurge suppressor, surge protector, spike suppressor, spike arrester, lightning arrester\nsolar array, solar battery, solar panel\nbattery, electric battery\nTesla coil\nclosed circuit, loop\nwiring\ncomputer circuit\nintegrated circuit, microcircuit\nmodule\nprinted circuit\ninterface, port\nCPU board, mother board\ncircuit board, circuit card, board, card, plug-in, add-in\nmosaic\nelectro-acoustic transducer\nearphone, earpiece, headphone, phone\nmicrophone, mike\nloudspeaker, speaker, speaker unit, loudspeaker system, speaker system\ntelephone receiver, receiver\nheadset\ncondenser microphone, capacitor microphone\ncardioid microphone\ntweeter\nbullhorn, loud hailer, loud-hailer\ntannoy\nwoofer\nsubwoofer\nomnidirectional antenna, nondirectional antenna\ndirectional antenna\nradio antenna, radio aerial\ntelevision antenna, tv-antenna\ndish, dish aerial, dish antenna, saucer\nscanner\nyagi, Yagi aerial\nvoltaic battery, galvanic battery\nflashlight battery\nlead-acid battery, lead-acid accumulator\npack, face pack\nprosthesis, prosthetic device\nsolar dish, solar collector, solar furnace\nmirror\nhand glass, hand mirror\ncar mirror\nrearview mirror\noutside mirror\nburglar alarm\nautomobile horn, car horn, motor horn, horn, hooter\nshofar, shophar\nfire alarm, smoke alarm\nreadout, read-out\nscanner, digital scanner, image scanner\ntube, vacuum tube, thermionic vacuum tube, thermionic tube, electron tube, thermionic valve\ndisplay, video display\npersonal digital assistant, PDA, personal organizer, personal organiser, organizer, organiser\ndongle\ntrackball\nmouse, computer mouse\nanswering machine\nhearing aid, deaf-aid\nbeeper, pager\ntriode\npentode\ncomputer monitor\nmonitor, monitoring device\nscreen, CRT screen\ndigital display, alphanumeric display\nliquid crystal display, LCD\nflat panel display, FPD\nwindow\ndialog box, panel\ncaller ID\ncomputer screen, computer display\nbackground, desktop, screen background\nC-clamp\nchuck\ncollet, collet chuck\nholder\nvise, bench vise\ncandlestick, candle holder\ncigarette holder\ncandelabrum, candelabra\nmenorah\nMenorah\ncache, memory cache\noptical disk, optical disc\nmagnetic disk, magnetic disc, disk, disc\nmemory, computer memory, storage, computer storage, store, memory board\nmagnetic tape, mag tape, tape\nrecording\nauxiliary storage, external storage, secondary storage\ncompact disk, compact disc, CD\nvideodisk, videodisc, DVD\nCD-ROM, compact disc read-only memory\nCD-R, compact disc recordable, CD-WO, compact disc write-once\naudio CD, audio compact disc\nhard disc, hard disk, fixed disk\ndiskette, floppy, floppy disk\nflash memory\nrandom-access memory, random access memory, random memory, RAM, read/write memory\nvideotape\ncassette tape\ntape, tape recording, taping\nphonograph record, phonograph recording, record, disk, disc, platter\nLP, L-P\nseventy-eight, 78\nlamp\nlight, light source\nflash, photoflash, flash lamp, flashgun, flashbulb, flash bulb\nlantern\ncandle, taper, wax light\nneon lamp, neon induction lamp, neon tube\nvigil light, vigil candle\ntaillight, tail lamp, rear light, rear lamp\ngas lamp\noil lamp, kerosene lamp, kerosine lamp\nhurricane lamp, hurricane lantern, tornado lantern, storm lantern, storm lamp\nfluorescent lamp\nstreetlight, street lamp\nspotlight, spot\nelectric lamp\njack-o'-lantern\nChinese lantern\nflashlight, torch\nlight bulb, lightbulb, bulb, incandescent lamp, electric light, electric-light bulb\npenlight\nheadlight, headlamp\nroom light\nstrip lighting\nfairy light\nsconce\nsearchlight\nnight-light\nblinker, flasher\ntorch\nflood, floodlight, flood lamp, photoflood\nfuel gauge, fuel indicator\ngnomon\ndial\nvernier scale, vernier\npointer\nlight pen, electronic stylus\nhand\nsweep hand, sweep-second\nminute hand, big hand\nsecond hand\nhour hand, little hand\nspring\nrubber band, elastic band, elastic\ncoil spring, volute spring\nbox spring\nhoist\nwinch, windlass\nelevator, lift\ncrane\nwheel and axle\nderrick\nmaze, labyrinth\ncommunication system\nnetwork, electronic network\nGlobal Positioning System, GPS\nresonator\nexhaust, exhaust system\nmechanical system\ncomputer system, computing system, automatic data processing system, ADP system, ADPS\nscaffolding, staging\nreticle, reticule, graticule\nwalkie-talkie, walky-talky\nradio, wireless\ntelecommunication system, telecom system, telecommunication equipment, telecom equipment\ntelephone system, phone system\nintercommunication system, intercom\ninterphone\ntelevision, television system\nsatellite television, satellite TV\nsurveillance system\ncolor television, colour television, color television system, colour television system, color TV, colour TV\nlocal area network, LAN\nsuperhighway, information superhighway\nethernet\nwireless local area network, WLAN, wireless fidelity, WiFi\nproduction line, assembly line, line\nlinkage\nsuspension, suspension system\nfuel injection, fuel injection system\nplanter\ntrophy case\nwastepaper basket, waste-paper basket, wastebasket, waste basket, circular file\ndish\nbread-bin, breadbox\ndispenser\npot, flowerpot\nbunker\nreliquary\ncup\nbag, handbag, pocketbook, purse\ncassette\nDumpster\nbag\nmeasuring cup\nglass, drinking glass\npaintball\nmeasure\nenvelope\nshaker\npiggy bank, penny bank\nbasket, handbasket\nsewing basket\nsavings bank, coin bank, money box, bank\npowder horn, powder flask\ncan, tin, tin can\nwheeled vehicle\nworkbasket, workbox, workbag\nbin\ncanister, cannister, tin\nmold, mould, cast\ncargo container\nvideocassette\ncase, display case, showcase, vitrine\ncase\nvessel\ndrawer\nreceptacle\npackage, parcel\nwatering can, watering pot\nbox\ncocotte\nPetri dish\ngravy boat, gravy holder, sauceboat, boat\nserving dish\ntureen\nsugar bowl\nbowl\ncasserole\nramekin, ramequin\nbutter dish\nsalad bowl\nmixing bowl\nporringer\ncereal bowl\nsoup bowl\npunch bowl\nroll-on\naerosol, aerosol container, aerosol can, aerosol bomb, spray can\nsoap dispenser\natomizer, atomiser, spray, sprayer, nebulizer, nebuliser\ninhaler, inhalator\ndemitasse\nbeaker\nkylix, cylix\ncoffee cup\nchalice, goblet\nteacup\nDixie cup, paper cup\nevening bag\nshoulder bag\nclutch bag, clutch\nreticule\nbackpack, back pack, knapsack, packsack, rucksack, haversack\nsachet\nbeanbag\nsandbag\ncarryall, holdall, tote, tote bag\npannier\nduffel bag, duffle bag, duffel, duffle\nbook bag\ntool bag\nmailbag, postbag\npurse\ndrawstring bag\nenvelope, gasbag\nsaddlebag\nsack, poke, paper bag, carrier bag\npouch\nshopping bag\ntoilet bag, sponge bag\ngamebag\nkitbag, kit bag\nplastic bag\ngolf bag\nsleeping bag\ngunnysack, gunny sack, burlap bag\ngrocery bag\nsporran\npocket\nwaist pack, belt bag\nbutt pack\nhip pocket\npatch pocket\nflute, flute glass, champagne flute\ntumbler\nwater glass\nbumper\nliqueur glass\nsnifter, brandy snifter, brandy glass\nshot glass, jigger, pony\nbeer glass\nrummer\ngoblet\nwineglass\ncocktail shaker\nsaltshaker, salt shaker\npepper shaker, pepper box, pepper pot\npannier\nclothes hamper, laundry basket, clothes basket, voider\nhamper\nbreadbasket\nshopping basket\nwicker basket\nmilk can\nbeer can\nsoda can\npedicab, cycle rickshaw\ncamper trailer\nrolling stock\nmotor scooter, scooter\nself-propelled vehicle\nunicycle, monocycle\nwagon, waggon\nbassinet\nhandcart, pushcart, cart, go-cart\nbaby buggy, baby carriage, carriage, perambulator, pram, stroller, go-cart, pushchair, pusher\nbicycle, bike, wheel, cycle\nhorse-drawn vehicle\ntrailer, house trailer\ncar, railcar, railway car, railroad car\ntricycle, trike, velocipede\narmored vehicle, armoured vehicle\nrecreational vehicle, RV, R.V.\ntracked vehicle\nsnowmobile\nbulldozer, dozer\nlocomotive, engine, locomotive engine, railway locomotive\nstreetcar, tram, tramcar, trolley, trolley car\nmotor vehicle, automotive vehicle\ntractor\nforklift\narmored personnel carrier, armoured personnel carrier, APC\narmored car, armoured car\ndune buggy, beach buggy\ncamper, camping bus, motor home\nvan, caravan\nshunter\ndiesel locomotive\nelectric locomotive\ntank engine, tank locomotive\ntraction engine\nsteam locomotive\ndiesel-electric locomotive, diesel-electric\ndiesel-hydraulic locomotive, diesel-hydraulic\nhearse\ntruck, motortruck\namphibian, amphibious vehicle\nfour-wheel drive, 4WD\nmotorcycle, bike\ngo-kart\ncar, auto, automobile, machine, motorcar\nsnowplow, snowplough\nfire engine, fire truck\nvan\ntrailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi\ntransporter, car transporter\ngarbage truck, dustcart\nladder truck, aerial ladder truck\ntow truck, tow car, wrecker\ndump truck, dumper, tipper truck, tipper lorry, tip truck, tipper\ntractor\npickup, pickup truck\ndelivery truck, delivery van, panel truck\nmoving van\npassenger van\npolice van, police wagon, paddy wagon, patrol wagon, wagon, black Maria\nbookmobile\ntrail bike, dirt bike, scrambler\nmoped\nbeach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon\nloaner\nModel T\nelectric, electric automobile, electric car\nminivan\nconvertible\ncompact, compact car\ncab, hack, taxi, taxicab\nshooting brake\nracer, race car, racing car\nhatchback\nroadster, runabout, two-seater\nberlin\nsport utility, sport utility vehicle, S.U.V., SUV\nsedan, saloon\njeep, landrover\nlimousine, limo\ncruiser, police cruiser, patrol car, police car, prowl car, squad car\nambulance\nused-car, secondhand car\nstock car\nsubcompact, subcompact car\npace car\nhot rod, hot-rod\nsports car, sport car\ncoupe\ncovered wagon, Conestoga wagon, Conestoga, prairie wagon, prairie schooner\ncart\nhorse cart, horse-cart\ndumpcart\njinrikisha, ricksha, rickshaw\npony cart, ponycart, donkey cart, tub-cart\noxcart\ntea cart, teacart, tea trolley, tea wagon\nlaundry cart\nserving cart\nbarrow, garden cart, lawn cart, wheelbarrow\nshopping cart\nhand truck, truck\nbicycle-built-for-two, tandem bicycle, tandem\nsafety bicycle, safety bike\npush-bike\nmountain bike, all-terrain bike, off-roader\ncarriage, equipage, rig\ngharry\nbuggy, roadster\nstagecoach, stage\nfour-wheeler\nbaggage car, luggage van\nfreight car\npassenger car, coach, carriage\ncabin car, caboose\nboxcar\ntank car, tank\nnonsmoker, nonsmoking car\nPullman, Pullman car\ndining car, diner, dining compartment, buffet car\nsmoker, smoking car, smoking carriage, smoking compartment\nrecycling bin\nashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin\nlitterbin, litter basket, litter-basket\nsandbox\npig bed, pig\nbriefcase\ncompact, powder compact\ndispatch case, dispatch box\nkit\nwallet, billfold, notecase, pocketbook\ncardcase\nportfolio\nditty bag\ncigarette case\nshoe\ngun case\nattache case, attache\nlocket\nwriting desk\nwatch case\nbaggage, luggage\nglasses case\nhand luggage\nsatchel\nbag, traveling bag, travelling bag, grip, suitcase\ntrunk\nhatbox\ngarment bag\nweekender\ncarpetbag\nportmanteau, Gladstone, Gladstone bag\novernighter, overnight bag, overnight case\nvalise\nboiler, steam boiler\nflagon\nbowl\nladle\nbottle\nbottle, feeding bottle, nursing bottle\npot\npitcher, ewer\nbathtub, bathing tub, bath, tub\nmortar\nbucket, pail\ndrinking vessel\ncream pitcher, creamer\nwine bucket, wine cooler\npressure cooker\ntub, vat\ninkwell, inkstand\ntin\nbasin\nmonstrance, ostensorium\nautoclave, sterilizer, steriliser\nchurn, butter churn\nbarrel, cask\ntank, storage tank\njar\ncenser, thurible\ntoilet bowl\nfishbowl, fish bowl, goldfish bowl\nscoop\nsoup ladle\nsmelling bottle\npop bottle, soda bottle\nwater bottle\njug\ncatsup bottle, ketchup bottle\ngourd, calabash\npill bottle\ncarboy\nflask\nbeer bottle\nink bottle, inkpot\ndemijohn\nwhiskey bottle\ncruet, crewet\nwine bottle\ncarafe, decanter\nphial, vial, ampule, ampul, ampoule\nwhiskey jug\nwater jug\nhipflask, pocket flask\nErlenmeyer flask\nthermos, thermos bottle, thermos flask\ncanteen\nvacuum flask, vacuum bottle\nmagnum\njeroboam, double-magnum\nsaucepot\nteapot\nDutch oven\nurn\nstockpot\nkettle, boiler\ncaldron, cauldron\npercolator\nteakettle\ncoffeepot\ncoffee urn\nsamovar\ntea urn\nsitz bath, hip bath\nhot tub\nfootbath\nmug\nloving cup\ntankard\ncoffee mug\ntoby, toby jug, toby fillpot jug\nbeer mug, stein\nbidet\nbirdbath\nwashbasin, handbasin, washbowl, lavabo, wash-hand basin\nbaptismal font, baptistry, baptistery, font\nbeer barrel, beer keg\nwine cask, wine barrel\nkeg\ngas tank, gasoline tank, petrol tank\nwater heater, hot-water heater, hot-water tank\nseptic tank\naquarium, fish tank, marine museum\nreservoir\nwater tower\nrain barrel\ncanopic jar, canopic vase\namphora\ncookie jar, cooky jar\nbeaker\nurn\nMason jar\nvase\ncrock, earthenware jar\njampot, jamjar\nplate, collection plate\ntray\ncat box\ndustpan\nchamberpot, potty, thunder mug\nsalver\ngarbage\nin-basket, in-tray\nhot-water bottle, hot-water bag\nossuary\nsocket\nashtray\npacket\nbundle, sheaf\ndeck\nbale\nhay bale\npack\nballot box\ncarton\ncoffin, casket\nshoebox\nsnuffbox\npencil box, pencil case\ncrate\nbandbox\nwindow box\nchest\nstrongbox, deedbox\ncereal box\nmailbox, letter box\ncasket, jewel casket\nbier\npacking box, packing case\ntoolbox, tool chest, tool cabinet, tool case\ntoy box, toy chest\ncoffer\nhope chest, wedding chest\ntreasure chest\ncedar chest\ncash register, register\nsafe-deposit, safe-deposit box, safety-deposit, safety deposit box, deposit box, lockbox\ncashbox, money box, till\nsafe\ntramway, tram, aerial tramway, cable tramway, ropeway\nchairlift, chair lift\nsidecar\npublic transport\nsemitrailer, semi\nhorsebox\nvehicle\nski tow, ski lift, lift\nroll-on roll-off\ntrailer\nshipping, cargo ships, merchant marine, merchant vessels\nlitter\nexpress, limited\nshuttle bus\ntrain, railroad train\nbus, autobus, coach, charabanc, double-decker, jitney, motorbus, motorcoach, omnibus, passenger vehicle\nlocal\nfreight liner, liner train\npassenger train\nsubway train\nmail train\nfreight train, rattler\ncommuter, commuter train\nbullet train, bullet\ntrolleybus, trolley coach, trackless trolley\nminibus\nschool bus\nsteamroller, road roller\nbumper car, Dodgem\nrocket, projectile\nmilitary vehicle\nmissile\ncraft\nsled, sledge, sleigh\nhalf track\ntank, army tank, armored combat vehicle, armoured combat vehicle\npanzer\npersonnel carrier\nHumvee, Hum-Vee\naircraft\nvessel, watercraft\nspacecraft, ballistic capsule, space vehicle\nhovercraft, ground-effect machine\nheavier-than-air craft\nstealth aircraft\nlighter-than-air craft\nhang glider\nglider, sailplane\nhelicopter, chopper, whirlybird, eggbeater\nwarplane, military plane\nairplane, aeroplane, plane\nautogiro, autogyro, gyroplane\nbomber\namphibian, amphibious aircraft\npropeller plane\nairliner\nbiplane\nfloatplane, pontoon plane\njet, jet plane, jet-propelled plane\nfighter, fighter aircraft, attack aircraft\nstealth bomber\nseaplane, hydroplane\nairbus\nwidebody aircraft, wide-body aircraft, wide-body, twin-aisle airplane\njumbojet, jumbo jet\njetliner\nstealth fighter\ninterceptor\nairship, dirigible\nblimp, sausage balloon, sausage\nballoon\nhot-air balloon\nboat\ntrawler, dragger\nyacht, racing yacht\nship\nsailing vessel, sailing ship\nbareboat\nlifeboat\npolice boat\ngondola\nsea boat\nbarge, flatboat, hoy, lighter\nriver boat\ntugboat, tug, towboat, tower\npunt\npilot boat\nsmall boat\nferry, ferryboat\ntender, ship's boat, pinnace, cutter\ncanal boat, narrow boat, narrowboat\nfireboat\nmotorboat, powerboat\ndredger\npontoon\nhouseboat\nskiff\ncanoe\ndinghy, dory, rowboat\nracing boat\ncoracle\nyawl\ngig\njolly boat, jolly\nrowing boat\nkayak\noutrigger canoe\ndugout canoe, dugout, pirogue\nracing gig\nracing skiff, single shell\nspeedboat\noutboard motorboat, outboard\ncabin cruiser, cruiser, pleasure boat, pleasure craft\nhydrofoil, hydroplane\nshipwreck\nwreck\npassenger ship\npirate, pirate ship\nlightship\nhospital ship\nsteamer, steamship\ncargo ship, cargo vessel\nsister ship\nwarship, war vessel, combat ship\nliner, ocean liner\nluxury liner, express luxury liner\ncargo liner\ncruise ship, cruise liner\npaddle steamer, paddle-wheeler\nsternwheeler\nbottom, freighter, merchantman, merchant ship\ncontainer ship, containership, container vessel\nbanana boat\noil tanker, oiler, tanker, tank ship\nsubmarine, pigboat, sub, U-boat\nguided missile cruiser\nfrigate\nbattleship, battlewagon\nguided missile frigate\naircraft carrier, carrier, flattop, attack aircraft carrier\nman-of-war, ship of the line\ndestroyer, guided missile destroyer\nattack submarine\nnautilus, nuclear submarine, nuclear-powered submarine\nyawl, dandy\nclipper, clipper ship\nfelucca\nsloop\nketch\ndhow\nsailboat, sailing boat\nbark, barque\nschooner\nwindjammer\ntrimaran\ncatamaran\ncatboat\nspace shuttle\nspace capsule, capsule\ndogsled, dog sled, dog sleigh\nbobsled, bobsleigh, bob\nbobsled, bobsleigh\nstretcher\ncovered couch\ntelecommunication, telecom\nvehicle\nprint media\nbroadcasting\ntelephone, telephony\nradiotelephone, radiotelephony, wireless telephone\ntelevision, telecasting, TV, video\nreception\nradio, radiocommunication, wireless\ncable television, cable\nhigh-definition television, HDTV\nthree-way calling\ncall, phone call, telephone call\nvoice mail, voicemail\npress, public press\njournalism, news media\nmagazine, mag\nnewspaper, paper\npulp, pulp magazine\nslick, slick magazine, glossy\ncomic book\nnews magazine\ntabloid, rag, sheet\ndaily\ngazette\nFleet Street\nyellow journalism, tabloid, tab\npillow\npad\nsanitary napkin, sanitary towel, Kotex\nbeer mat\nfuton\ncarpet pad, rug pad, underlay, underlayment\nrange hood\nscreen, cover, covert, concealment\ntop, cover\nfootwear, footgear\nprotective covering, protective cover, protection\ncloak\nwrapping, wrap, wrapper\nupholstery\ncloth covering\nmask\nfinger\nfloor cover, floor covering\ncoating, coat\ncanopy\nflap\ndomino, half mask, eye mask\nfolder\nplanking\nearmuff\ncamouflage\nshoji\ncap\nmanhole cover\nlid\nradiator cap\nbottlecap\nnipple\nclog, geta, patten, sabot\nshoe\narctic, galosh, golosh, rubber, gumshoe\nboot\nflats\nslipper, carpet slipper\novershoe\nsabot, wooden shoe\nslingback, sling\nchukka, chukka boot\nsaddle oxford, saddle shoe\nspectator pump, spectator\nbrogan, brogue, clodhopper, work shoe\nwing tip\nwalker\nblucher\nanklet\ncleats\ngaiter\nLoafer\nrunning shoe\noxford\nbowling shoe\nplimsoll\npump\nsandal\nchopine, platform\npusher, zori\ntalaria\nflip-flop, thong\nespadrille\njodhpur, jodhpur boot, jodhpur shoe\nbuskin, combat boot, desert boot, half boot, top boot\nski boot\nhip boot, thigh boot\nriding boot\nrubber boot, gum boot\nHessian boot, hessian, jackboot, Wellington, Wellington boot\nwaders\ncowboy boot\nmule, scuff\nbootee, bootie\ncold frame\ncloche\nwashboard, splashboard\ntoecap\nmulch\nshield\nbracer, armguard\nscreen\nsheathing, overlay, overlayer\nbell jar, bell glass\nshade\nshelter\nsplashboard, splasher, dashboard\ntestudo\nroof\nfaceplate\nhood, bonnet, cowl, cowling\nsheath\ncap\nmask\nfacing, cladding\ncrystal, watch crystal, watch glass\ncalash, caleche, calash top\narmor, armour\nbinder, ring-binder\nbinding, book binding, cover, back\nhousing\nblind, screen\nlining, liner\nplate, scale, shell\nhorseshoe, shoe\narmor plate, armour plate, armor plating, plate armor, plate armour\nbreastplate, aegis, egis\nhelmet\ncannon\nknee piece\npickelhaube\nsallet, salade\nwindow screen\nfire screen, fireguard\nwindshield, windscreen\nmosquito net\nlampshade, lamp shade\nparasol, sunshade\nlean-to\nbell cote, bell cot\nsentry box\nbirdhouse\ncanopy\nkennel, doghouse, dog house\nawning, sunshade, sunblind\numbrella\ngamp, brolly\ngable roof, saddle roof, saddleback, saddleback roof\nsunroof, sunshine-roof\nmansard, mansard roof\ndome\nhip roof, hipped roof\ntile roof\nhousetop\nvault\nslate roof\ngambrel, gambrel roof\nthatch, thatched roof\ncupola\ngeodesic dome\nonion dome\nbarrel vault\nribbed vault\nholster\nscabbard\nshoulder holster\nhubcap\nthimble\ndistributor cap\nlens cap, lens cover\ngasmask, respirator, gas helmet\nface mask\nski mask\ncatcher's mask\nbody armor, body armour, suit of armor, suit of armour, coat of mail, cataphract\nshield, buckler\nchain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour\nbulletproof vest\ncorselet, corslet\ncuirass\ncabinet, console\nradome, radar dome\nboot\nwindow blind\njalousie\ncurtain, drape, drapery, mantle, pall\nshutter\nVenetian blind\nwindow shade\nroller blind\ntheater curtain, theatre curtain\nshower curtain\nbushing, cylindrical lining\nbrake lining\ngift wrapping\nenvelope\ncellophane\nbook jacket, dust cover, dust jacket, dust wrapper\njacket\nplastic wrap\nshoulder\npant leg, trouser leg\nleg\nback\ncosy, tea cosy, cozy, tea cozy\nbandage, patch\nbosom\nslipcover\nbedclothes, bed clothing, bedding\nsleeve, arm\nblindfold\neyepatch, patch\nskirt\nseat\nBand Aid\nswathe, wrapping\ncast, plaster cast, plaster bandage\nelastic bandage\nquilt, comforter, comfort, puff\nafghan\nblanket, cover\nbedspread, bedcover, bed cover, bed covering, counterpane, spread\nmattress cover\npatchwork, patchwork quilt\neiderdown, duvet, continental quilt\ncrazy quilt\ncoverlet\nquilted bedspread\nraglan sleeve\nlong sleeve\nrug, carpet, carpeting\ndoormat, welcome mat\nmat\nscatter rug, throw rug\nshag rug\nprayer rug, prayer mat\nbroadloom\nstair-carpet\nred carpet\nBrussels carpet\nfixative\ngold plate\nverdigris\npaint, pigment\nnail polish, nail enamel, nail varnish\ngilt, gilding\ncouch\nenamel\nveneer, veneering\nfinger paint, fingerpaint\nenamel\nencaustic\noil paint\nwater-base paint\nlatex paint, latex, rubber-base paint\nwhitewash\nearflap, earlap\npocket flap\nlapel\ntongue\nrevers, revere\ntent-fly, rainfly, fly sheet, fly, tent flap\nfile folder\nmatchbook\nplush\nmuslin\ntarpaulin, tarp\nvelvet\nbatik\nkhaki\nbelting\nsacking, bagging\ndiaper\nvoile\nduffel, duffle\nchenille\ncotton flannel, Canton flannel\ntoweling, towelling\ncrinoline\npanting, trousering\nchintz\nfelt\ncotton\nvelveteen\nsatin\nknit\nsateen\nprint\nflannel\nwebbing\ngabardine\ncamouflage, camo\nworsted\ncashmere\ntartan, plaid\nmohair\nbrocade\nvelour, velours\nshirttail\nboucle\nmadras\nnet, network, mesh, meshing, meshwork\npaisley\nyoke\npercale\npiece of cloth, piece of material\nmoquette\nterry, terry cloth, terrycloth\nrayon\nacetate rayon, acetate\ncord, corduroy\npermanent press, durable press\nchiffon\nburlap, gunny\nticking\nbasket weave\nlace\nsheeting\ngeorgette\npoplin\ndenim, dungaree, jean\nflannelette\nshantung\ncamel's hair, camelhair\nnylon\ndrapery\ngauze, gauze bandage\norganza\nfoulard\ngingham\nwool, woolen, woollen\nsuede cloth, suede\ntaffeta\nleatherette, imitation leather\ntweed\norgandy, organdie\ncanopy\netamine, etamin\ndamask\noilcloth\ntapestry, tapis\nbroadcloth\npique\nhomespun\ntricot\ndouble knit\njersey\ngauze, netting, veiling\ntulle\nchicken wire\nhandkerchief, hankie, hanky, hankey\ngroundsheet, ground cloth\ndustcloth, dustrag, duster\ndishrag, dishcloth\ntowel\nbandanna, bandana\ngusset, inset\nbib\nsail, canvas, canvass, sheet\npatch\nhand towel, face towel\npaper towel\ndishtowel, dish towel, tea towel\nfore-and-aft sail\nforesail\nspinnaker\nheadsail\ntopsail\nmainsail\nballoon sail\njib\nmizzen, mizen\ngaff topsail, fore-and-aft topsail\nlugsail, lug\nstaysail\nlateen, lateen sail\nflash\nshoulder patch\nnarrow wale\nBedford cord\nmacrame\npillow lace, bobbin lace\nraft\nlife preserver, preserver, flotation device\nlife buoy, lifesaver, life belt, life ring\nMae West, air jacket\nlife jacket, life vest, cork jacket\nstone\nbrick\nlumber, timber\nbricks and mortar\ntile, roofing tile\nconcrete\nquoin, coign, coigne\nmillstone\nstele, stela\nhone\ngrindstone\ncurbstone, kerbstone\ngravestone, headstone, tombstone\nfirebrick\nmud brick\nclinker, clinker brick\nadobe, adobe brick\nstrip\nchipboard, hardboard\nslat, spline\nfingerboard\ntoothpick\nhip tile, hipped tile\npantile\ncornice\nembellishment\ngraffito, graffiti\nepergne\nnecklet\nmarquetry, marqueterie\nbrass\ngarnish\narabesque\ndesign, pattern, figure\nadornment\nfrieze\nlambrequin\ntattoo\nmihrab\nemblem\nswastika, Hakenkreuz\nherringbone, herringbone pattern\nspot, speckle, dapple, patch, fleck, maculation\nflag\nbanner, streamer\ntotem pole\ncrucifix, rood, rood-tree\nfleur-de-lis, fleur-de-lys\nmacule, macula\nparhelion, mock sun, sundog\njewelry, jewellery\nfrill, flounce, ruffle, furbelow\nlavaliere, lavalier, lavalliere\npeplum\nbangle, bauble, gaud, gewgaw, novelty, fallal, trinket\ncigar band\naigrette, aigret\nbracelet, bangle\nbling, bling bling\npendant earring, drop earring, eardrop\nnecklace\nghat\npath\nroad, route\npassage\nsidewalk, pavement\ntowpath, towing path\npedestrian crossing, zebra crossing\nhighway, main road\ncarriageway\nthoroughfare\ntrail\ndivided highway, dual carriageway\nexpressway, freeway, motorway, pike, state highway, superhighway, throughway, thruway\narterial road\nautostrada\nautobahn\nstreet\nstreet\npiste\nhorse-trail\nadit\nconduit\npassageway\ntube, tubing\nsluice, sluiceway, penstock\nsnorkel, schnorkel, schnorchel, snorkel breather, breather\nwaterspout\ncatheter\nbarrel, gun barrel\npipe, pipage, piping\nhookah, narghile, nargileh, sheesha, shisha, chicha, calean, kalian, water pipe, hubble-bubble, hubbly-bubbly\ntailpipe\ndrain, drainpipe, waste pipe\nculvert\nsoil pipe\ntunnel\nstairwell\ngangway\ncatacomb\nrailroad tunnel\ntape\nband\ninkle\nadhesive tape\nplaster, adhesive plaster, sticking plaster\ncellulose tape, Scotch tape, Sellotape\nheadstall, headpiece\ngirdle, cincture, sash, waistband, waistcloth\ntire, tyre\narmlet, arm band\nradial, radial tire, radial-ply tire\ncar tire, automobile tire, auto tire, rubber tire\ntableware\nriband, ribband\ncutlery, eating utensil\nglass\nhollowware, holloware\nplatter\nspoon\ntable knife\nfork\nSpork\nsoupspoon, soup spoon\nteaspoon\nsugar spoon, sugar shell\nwooden spoon\niced-tea spoon\ntablespoon\ndessert spoon\ncase knife\nbutter knife\nsteak knife\ntablefork\ncarving fork\nairfield, landing field, flying field, field\ntelpherage, telferage\nair terminal, airport terminal\nairport, airdrome, aerodrome, drome\nmenagerie, zoo, zoological garden\nstorehouse, depot, entrepot, storage, store\nstation\nwarehouse, storage warehouse\ngranary, garner\ncrib\nmineshaft\nditch\nirrigation ditch\nfurrow\nconsumer goods\nlinen\nclothing, article of clothing, vesture, wear, wearable, habiliment\nappliance\nleisure wear\ngrey, gray\nblue\nnightwear, sleepwear, nightclothes\nprotective garment\nouterwear, overclothes\nneckpiece\nknitwear\nloungewear\napparel, wearing apparel, dress, clothes\ncollar\nmilitary uniform\nheaddress, headgear\npajama, pyjama, pj's, jammies\ngarment\narray, raiment, regalia\nwoman's clothing\noverall\nglove\naccessory, accoutrement, accouterment\nblack\nfootwear\nattire, garb, dress\nready-to-wear\nbeachwear\nman's clothing\nstreet clothes\nslip-on\nshin guard, shinpad\noverall, boilersuit, boilers suit\npressure suit\narm guard, arm pad\nfoul-weather gear\ndiving suit, diving dress\napron\nshoulder pad\ncoverall\nchest protector\nelbow pad\nspacesuit\nknee pad\ngown, robe\nvestment\nchasuble\nacademic gown, academic robe, judge's robe\nbattle dress\nfatigues\ndress uniform\nkhakis\nhelmet\nhood\nturban\nhat, chapeau, lid\ncap\ncowl\ntiara\nfootball helmet\nhard hat, tin hat, safety hat\ncrash helmet\nsunhat, sun hat\nfur hat\ncowboy hat, ten-gallon hat\nbearskin, busby, shako\nboater, leghorn, Panama, Panama hat, sailor, skimmer, straw hat\nsnap-brim hat\nfedora, felt hat, homburg, Stetson, trilby\ncavalier hat, slouch hat\nsombrero\ntricorn, tricorne\nbeaver, castor\nporkpie, porkpie hat\nbonnet, poke bonnet\npith hat, pith helmet, sun helmet, topee, topi\nbowler hat, bowler, derby hat, derby, plug hat\nmillinery, woman's hat\ncloche\npillbox, toque, turban\nbaseball cap, jockey cap, golf cap\ncoonskin cap, coonskin\nshower cap\nkepi, peaked cap, service cap, yachting cap\nbalaclava, balaclava helmet\nfez, tarboosh\ntam, tam-o'-shanter, tammy\nberet\nskullcap\ncloth cap, flat cap\nski cap, stocking cap, toboggan cap\nwatch cap\nbathing cap, swimming cap\nmortarboard\nyarmulke, yarmulka, yarmelke\nbeanie, beany\nhead covering, veil\nscarf\nromper, romper suit\ndiaper, nappy, napkin\nwraparound\nrobe\nwet suit\nlegging, leging, leg covering\nskirt\nundergarment, unmentionable\nseparate\nvest, waistcoat\nshirt\novergarment, outer garment\nhose\nburqa, burka\ntrouser\ntrouser, pant\nstraitjacket, straightjacket\nfur\nneckwear\nsweat suit, sweatsuit, sweats, workout suit\nleotard, unitard, body suit, cat suit\nswimsuit, swimwear, bathing suit, swimming costume, bathing costume\nhand-me-down\nraglan\nsuit, suit of clothes\nsweater, jumper\ngown, surgical gown, scrubs\nface veil\nniqab\nchador, chadar, chaddar, chuddar\nmantilla\nmuffler\nheadscarf\ntudung\nfeather boa, boa\nstole\nhijab\nkhimar\ndressing gown, robe-de-chambre, lounging robe\nkimono\nabaya\nbathrobe\ngaiter\nspat, gaiter\noverskirt\ngrass skirt\nminiskirt, mini\nkilt\nmaxi\nballet skirt, tutu\ndirndl\nsarong\nhoopskirt, crinoline\npetticoat, half-slip, underskirt\nbrassiere, bra, bandeau\nfoundation garment, foundation\nsinglet, vest, undershirt\ngarter belt, suspender belt\ncrinoline\nunderwear, underclothes, underclothing\nbody stocking\ncamisole, underbodice\nuplift\nchemise, shimmy, shift, slip, teddy\nunderpants\ncorset, girdle, stays\npanty girdle\nroll-on\nlingerie, intimate apparel\nlong johns\nBVD, BVD's\nundies\nnightgown, gown, nightie, night-robe, nightdress\nbloomers, pants, drawers, knickers\nthong\nbikini pants\nbriefs, Jockey shorts\npantie, panty, scanty, step-in\ndrawers, underdrawers, shorts, boxers, boxershorts\nwork-shirt\nkurta\njersey, T-shirt, tee shirt\ndashiki, daishiki\npolo shirt, sport shirt\ncoat\ncloak\nsnowsuit\nsurcoat\nduffel coat, duffle coat\nsheepskin coat, afghan\nfrock coat\nlab coat, laboratory coat\ngreatcoat, overcoat, topcoat\njacket\nraincoat, waterproof\ncapote, hooded coat\nsack coat\nfur coat\nmess jacket, monkey jacket, shell jacket\nsingle-breasted jacket\nbomber jacket\npea jacket, peacoat\nswallow-tailed coat, swallowtail, morning coat\ndoublet\nbolero\nparka, windbreaker, windcheater, anorak\noilskin, slicker\ntrench coat\nmink, mink coat\nsable coat\nponcho\ntoga virilis\ntoga\nkameez\nserape, sarape\ntunic\nshawl\ncaftan, kaftan\nshort pants, shorts, trunks\npajama, pyjama\nsweat pants, sweatpants\nsalwar, shalwar\nbreeches, knee breeches, knee pants, knickerbockers, knickers\nchino\nslacks\njodhpurs, jodhpur breeches, riding breeches\npedal pusher, toreador pants\nlong trousers, long pants\njean, blue jean, denim\ncords, corduroys\nLevi's, levis\nstretch pants\nbellbottom trousers, bell-bottoms, bellbottom pants\nbuckskins\nhot pants\nBermuda shorts, Jamaica shorts\nlederhosen\nnecktie, tie\ncravat\nbolo tie, bolo, bola tie, bola\nWindsor tie\nbow tie, bow-tie, bowtie\nblack tie\nmaillot, tank suit\nswimming trunks, bathing trunks\nbikini, two-piece\ndouble-breasted suit\npinstripe\nsingle-breasted suit\npants suit, pantsuit\nbusiness suit\nthree-piece suit\ntwo-piece, two-piece suit, lounge suit\nturtleneck, turtle, polo-neck\ncardigan\nsweatshirt\npullover, slipover\ntop\nG-string, thong\ncamisole\ndress, frock\nbodice\nblouse\nhalter\ncocktail dress, sheath\nsari, saree\ncaftan, kaftan\nsundress\nchemise, sack, shift\nstrapless\ngown\njumper, pinafore, pinny\ndirndl\nbridal gown, wedding gown, wedding dress\ntea gown\nball gown\ngauntlet, gantlet\nmitten\nkid glove, suede glove\nbelt\nfurnishing, trappings\nmoney belt\nholster\ncartridge belt\nhosiery, hose\ntights, leotards\nsock\nstocking\npantyhose\nmaillot\nathletic sock, sweat sock, varsity sock\ntabi, tabis\nknee-high, knee-hi\nargyle, argyll\nnylons, nylon stocking, rayons, rayon stocking, silk stocking\nChristmas stocking\nformalwear, eveningwear, evening dress, evening clothes\nensemble\noutfit, getup, rig, turnout\nao dai\ncostume\nfancy dress, masquerade, masquerade costume\ncostume\nfrock\nsportswear, athletic wear, activewear\nacademic costume\ndisguise\nhairpiece, false hair, postiche\ndinner jacket, tux, tuxedo, black tie\nballdress\ndinner dress, dinner gown, formal, evening gown\ndress suit, full dress, tailcoat, tail coat, tails, white tie, white tie and tails\nAfro-wig\ntoupee, toupe\nwig\ndress hat, high hat, opera hat, silk hat, stovepipe, top hat, topper, beaver\nbrace, suspender, gallus\nathletic supporter, supporter, suspensor, jockstrap, jock\nhome appliance, household appliance\ndryer, drier\nvacuum, vacuum cleaner\niron, smoothing iron\ntrouser press, pants presser\ncurling iron\nwhite goods\nsewing machine\nserger\nkitchen appliance\nHoover\ntravel iron\nsteam iron\ndishwasher, dish washer, dishwashing machine\nrefrigerator, icebox\nwasher, automatic washer, washing machine\ncooler, ice chest\nelectric refrigerator, fridge\nice machine\ndeep-freeze, Deepfreeze, deep freezer, freezer\ntoaster\nmicrowave, microwave oven\ntoaster oven\ncoffee maker\nhot plate, hotplate\nwaffle iron\ndisposal, electric pig, garbage disposal\nespresso maker\nstove, kitchen stove, range, kitchen range, cooking stove\noven\nfood processor\nice maker\ncookstove\nelectric range\ngas range, gas stove, gas cooker\nPrimus stove, Primus\nbroiler\nrotisserie\nDutch oven\ngas oven\nhand blower, blow dryer, blow drier, hair dryer, hair drier\nclothes dryer, clothes drier\nspin dryer, spin drier\ntumble-dryer, tumble drier\nwringer\nbath towel\ndoily, doyley, doyly\nTurkish towel, terry towel\nbed linen\npillow sham\nsheet, bed sheet\ntinfoil, tin foil\nplywood, plyboard\ndoorplate\nboard\ndrumhead, head\npanel\nlaminate\nblackboard, chalkboard\nsnowboard\nSheetrock\naquaplane\nskateboard\nsideboard\nscoreboard\nwainscot, wainscoting, wainscotting\nheadboard\nchandelier, pendant, pendent\nplumbing fixture\nsoap dish\ntoilet, can, commode, crapper, pot, potty, stool, throne\nshower\nwater faucet, water tap, tap, hydrant\nflush toilet, lavatory\npotty seat, potty chair\nrope\ncord\nlasso, lariat, riata, reata\nbungee, bungee cord\nspun yarn\ncordage\nthread, yarn\nbootlace\nwick, taper\nlanyard, laniard\nfloss\nwoof, weft, filling, pick\nworsted, worsted yarn\norganism, being\ncell\nmistletoe, Viscum album, Old World mistletoe\nplant, flora, plant life\nanimal, animate being, beast, brute, creature, fauna\nmicroorganism, micro-organism\nbryophyte, nonvascular plant\nperson, individual, someone, somebody, mortal, soul\nfungus\nbenthos\nflowering maple\nvascular plant, tracheophyte\nstrangler, strangler tree\naquatic\nannual\nhouseplant\npoisonous plant\nagave, century plant, American aloe\npteridophyte, nonflowering plant\nspermatophyte, phanerogam, seed plant\naquatic plant, water plant, hydrophyte, hydrophytic plant\nherb, herbaceous plant\nvine\nwoody plant, ligneous plant\nweed\ncultivar\nbulbous plant\nsucculent\nAmerican agave, Agave americana\nmaguey, cantala, Agave cantala\nmaguey, Agave atrovirens\nsansevieria, bowstring hemp\ndracaena\nmother-in-law's tongue, snake plant, Sansevieria trifasciata\nfern ally\nfern\nclub moss, club-moss, lycopod\nscouring rush, rough horsetail, Equisetum hyemale, Equisetum hyemale robustum, Equisetum robustum\nground pine, Christmas green\nground cedar, staghorn moss, Lycopodium complanatum\nground fir, princess pine, tree clubmoss, Lycopodium obscurum\nflowering fern, osmund\nlady fern, Athyrium filix-femina\nBoston fern, Nephrolepis exaltata, Nephrolepis exaltata bostoniensis\nflowering fern, Helminthostachys zeylanica\nroyal fern, royal osmund, king fern, ditch fern, French bracken, Osmunda regalis\ntree fern\noak fern, Gymnocarpium dryopteris, Thelypteris dryopteris\ncommon polypody, adder's fern, wall fern, golden maidenhair, golden polypody, sweet fern, Polypodium vulgare\nmountain fern, Oreopteris limbosperma, Dryopteris oreopteris\nshield fern, buckler fern\ndeer fern, Blechnum spicant\nwood fern, wood-fern, woodfern\nAmerican maidenhair fern, five-fingered maidenhair fern, Adiantum pedatum\nhart's-tongue, hart's-tongue fern, Asplenium scolopendrium, Phyllitis scolopendrium\nsoft shield fern, Polystichum setiferum\nholly fern, Cyrtomium aculeatum, Polystichum aculeatum\nmaidenhair, maidenhair fern\nholly fern\nwater clover, Marsilea quadrifolia\nsensitive fern, bead fern, Onoclea sensibilis\nChristmas fern, canker brake, dagger fern, evergreen wood fern, Polystichum acrostichoides\nangiopteris, giant fern, Angiopteris evecta\nsoft tree fern, Dicksonia antarctica\nmale fern, Dryopteris filix-mas\nmarginal wood fern, evergreen wood fern, leatherleaf wood fern, Dryopteris marginalis\nangiosperm, flowering plant\ngymnosperm\nbarbados cherry, acerola, Surinam cherry, West Indian cherry, Malpighia glabra\ndicot, dicotyledon, magnoliopsid, exogen\nflower\nwildflower, wild flower\ncommelina\nwoodland star, Lithophragma affine, Lithophragma affinis, Tellima affinis\nnigella\nblack-eyed Susan, Rudbeckia hirta, Rudbeckia serotina\nmistflower, mist-flower, ageratum, Conoclinium coelestinum, Eupatorium coelestinum\ncalceolaria, slipperwort\ntoadflax, butter-and-eggs, wild snapdragon, devil's flax, Linaria vulgaris\nzinnia, old maid, old maid flower\ncentaury\nEaster daisy, stemless daisy, Townsendia Exscapa\nAfrican violet, Saintpaulia ionantha\nbrompton stock, Matthiola incana\nverbena, vervain\nblue daisy, blue marguerite, Felicia amelloides\npink calla, Zantedeschia rehmanii\nMexican sunflower, tithonia\nbloomer\nachimenes, hot water plant\nlychnis, catchfly\npainted daisy, pyrethrum, Tanacetum coccineum, Chrysanthemum coccineum\ntreasure flower, Gazania rigens\nglobe amaranth, bachelor's button, Gomphrena globosa\ncommon valerian, garden heliotrope, Valeriana officinalis\nrose moss, sun plant, Portulaca grandiflora\ntidytips, tidy tips, Layia platyglossa\ncommon daisy, English daisy, Bellis perennis\ncomposite, composite plant\nice plant, icicle plant, Mesembryanthemum crystallinum\ngentian\nsoapwort, hedge pink, bouncing Bet, bouncing Bess, Saponaria officinalis\nanemone, windflower\nveronica, speedwell\nlarkspur\nspring beauty, Clatonia lanceolata\ngazania\ndamask violet, Dame's violet, sweet rocket, Hesperis matronalis\nBarberton daisy, Transvaal daisy, Gerbera jamesonii\nbush violet, browallia\nbaby's breath, babies'-breath, Gypsophila paniculata\ncorydalis\ncalendula\nsunflower, helianthus\nscabious, scabiosa\nvalerian\nrue anemone, Anemonella thalictroides\nsandwort, Moehringia mucosa\ncandytuft\nhorn poppy, horned poppy, yellow horned poppy, sea poppy, Glaucium flavum\nsandwort, Moehringia lateriflora\npoppy\nstokes' aster, cornflower aster, Stokesia laevis\ndahlia, Dahlia pinnata\nVirginia spring beauty, Claytonia virginica\npetunia\norchid, orchidaceous plant\nhybrid petunia, Petunia hybrida\nAfrican daisy, yellow ageratum, Lonas inodora, Lonas annua\npink, garden pink\nAfrican daisy\nAfrican daisy\ndaisy\ncommon ageratum, Ageratum houstonianum\noxeye daisy, ox-eyed daisy, marguerite, moon daisy, white daisy, Leucanthemum vulgare, Chrysanthemum leucanthemum\ncolumbine, aquilegia, aquilege\ncalla lily, calla, arum lily, Zantedeschia aethiopica\nsweet alyssum, sweet alison, Lobularia maritima\nspathiphyllum, peace lily, spathe flower\nfour o'clock\ncommon marigold, pot marigold, ruddles, Scotch marigold, Calendula officinalis\ncornflower, bachelor's button, bluebottle, Centaurea cyanus\nstrawflower, cornflower, Uvularia grandiflora\nsilene, campion, catchfly\ntuberose, Polianthes tuberosa\ncommon four-o'clock, marvel-of-Peru, Mirabilis jalapa, Mirabilis uniflora\nrocket larkspur, Consolida ambigua, Delphinium ajacis\nbellwort, merry bells, wild oats\nbegonia\nstreptocarpus\nSwan River daisy, Brachycome Iberidifolia\nwallflower, Cheiranthus cheiri, Erysimum cheiri\npeony, paeony\nlove-in-a-mist, Nigella damascena\nwallflower\ncineraria, Pericallis cruenta, Senecio cruentus\nchrysanthemum\nstock, gillyflower\nsandwort\nMalcolm stock, stock\nmountain sandwort, mountain starwort, mountain daisy, Arenaria groenlandica\nconeflower\nageratum\nconeflower\nsowbread, Cyclamen hederifolium, Cyclamen neopolitanum\nscorpionweed, scorpion weed, phacelia\ncyclamen, Cyclamen purpurascens\ndelphinium\nmarigold\naster\ncosmos, cosmea\nMediterranean snapdragon, Antirrhinum majus\nmullein pink, rose campion, gardener's delight, dusty miller, Lychnis coronaria\nragged robin, cuckoo flower, Lychnis flos-cuculi, Lychins floscuculi\nmayweed, dog fennel, stinking mayweed, stinking chamomile, Anthemis cotula\ntansy, golden buttons, scented fern, Tanacetum vulgare\ndusty miller, silver-lace, silver lace, Tanacetum ptarmiciflorum, Chrysanthemum ptarmiciflorum\ncorn chamomile, field chamomile, corn mayweed, Anthemis arvensis\nshasta daisy, Leucanthemum superbum, Chrysanthemum maximum maximum\neverlasting, everlasting flower\nwingstem, golden ironweed, yellow ironweed, golden honey plant, Verbesina alternifolia, Actinomeris alternifolia\nrosinweed, Silphium laciniatum\noxeye daisy, Leucanthemum maximum, Chrysanthemum maximum\nstrawflower\nstrawflower, golden everlasting, yellow paper daisy, Helichrysum bracteatum\ncudweed\npearly everlasting, cottonweed, Anaphalis margaritacea\ngentianella, Gentiana acaulis\nagueweed, ague weed, five-flowered gentian, stiff gentian, Gentianella quinquefolia, Gentiana quinquefolia\nclosed gentian, blind gentian, Gentiana clausa\nclosed gentian, blind gentian, bottle gentian, Gentiana andrewsii\ngreat yellow gentian, Gentiana lutea\nfringed gentian\nmarsh gentian, calathian violet, Gentiana pneumonanthe\nsnowdrop anemone, snowdrop windflower, Anemone sylvestris\nwood anemone, Anemone nemorosa\nwood anemone, snowdrop, Anemone quinquefolia\ngermander speedwell, bird's eye, Veronica chamaedrys\ncommon speedwell, gypsyweed, Veronica officinalis\ncommon sunflower, mirasol, Helianthus annuus\nprairie sunflower, Helianthus petiolaris\ngiant sunflower, tall sunflower, Indian potato, Helianthus giganteus\nJerusalem artichoke, girasol, Jerusalem artichoke sunflower, Helianthus tuberosus\nsweet scabious, pincushion flower, mournful widow, Scabiosa atropurpurea\nfield scabious, Scabiosa arvensis\nIceland poppy, arctic poppy, Papaver nudicaule\nwind poppy, flaming poppy, Stylomecon heterophyllum, Papaver heterophyllum\nIceland poppy, Papaver alpinum\ncelandine, greater celandine, swallowwort, swallow wort, Chelidonium majus\noriental poppy, Papaver orientale\nopium poppy, Papaver somniferum\ncelandine poppy, wood poppy, Stylophorum diphyllum\nprickly poppy, Papaver argemone\nCalifornia poppy, Eschscholtzia californica\ncorn poppy, field poppy, Flanders poppy, Papaver rhoeas\nblue poppy, Meconopsis betonicifolia\naerides\ncoelogyne\nlady's slipper, lady-slipper, ladies' slipper, slipper orchid\nVenus' slipper, Venus's slipper, Venus's shoe\ncymbid, cymbidium\nsobralia\nspider orchid, Brassia lawrenceana\nspider orchid, Brassia verrucosa\nPsychopsis papilio, Oncidium papilio\nliparis\nbutterfly orchid, Encyclia tampensis, Epidendrum tampense\nbutterfly orchid\nbutterfly orchid, butterfly orchis, Epidendrum venosum, Encyclia venosa\noncidium, dancing lady orchid, butterfly plant, butterfly orchid\ntwayblade\ntwayblade, Listera ovata\ngrass pink, Calopogon pulchellum, Calopogon tuberosum\nbrassavola\nfragrant orchid, Gymnadenia conopsea\nfly orchid, Ophrys insectifera, Ophrys muscifera\nfrog orchid, Coeloglossum viride\ncoral root\ncattleya\nlesser butterfly orchid, Platanthera bifolia, Habenaria bifolia\nvanilla\nshort-spurred fragrant orchid, Gymnadenia odoratissima\ncommon spotted orchid, Dactylorhiza fuchsii, Dactylorhiza maculata fuchsii\nbog rose, wild pink, dragon's mouth, Arethusa bulbosa\nladies' tresses, lady's tresses\nodontoglossum\norchis\nvanda\npansy orchid\nBletilla striata, Bletia striata\nrattlesnake plantain, helleborine\nmarsh orchid\nstanhopea\nlaelia\nphaius\nlizard orchid, Himantoglossum hircinum\ncaladenia\ncalypso, fairy-slipper, Calypso bulbosa\nmoth orchid, moth plant\nblue orchid, Vanda caerulea\nbee orchid, Ophrys apifera\nearly spider orchid, Ophrys sphegodes\nmasdevallia\nbog rein orchid, bog candles, Habenaria dilatata\nEuropean ladies' tresses, Spiranthes spiralis\nfen orchid, fen orchis, Liparis loeselii\npogonia\nfringed orchis, fringed orchid\ndendrobium\nfly orchid\nhelleborine\nhelleborine\nstelis\ngreater butterfly orchid, Platanthera chlorantha, Habenaria chlorantha\nyellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum\nlarge yellow lady's slipper, Cypripedium calceolus pubescens\ncommon lady's-slipper, showy lady's-slipper, showy lady slipper, Cypripedium reginae, Cypripedium album\nmoccasin flower, nerveroot, Cypripedium acaule\nbutterfly orchid, butterfly orchis, Orchis papilionaceae\nmale orchis, early purple orchid, Orchis mascula\nragged orchid, ragged orchis, ragged-fringed orchid, green fringed orchis, Habenaria lacera\npurple-fringed orchid, purple-fringed orchis, Habenaria fimbriata\nstream orchid, chatterbox, giant helleborine, Epipactis gigantea\nEpipactis helleborine\nsweet William, Dianthus barbatus\nchina pink, rainbow pink, Dianthus chinensis\nJapanese pink, Dianthus chinensis heddewigii\ncarnation, clove pink, gillyflower, Dianthus caryophyllus\ncottage pink, grass pink, Dianthus plumarius\nmaiden pink, Dianthus deltoides\nmeeting house, honeysuckle, Aquilegia canadensis\ngranny's bonnets, Aquilegia vulgaris\nblue columbine, Aquilegia caerulea, Aquilegia scopulorum calcarea\nfire pink, Silene virginica\nwhite campion, evening lychnis, white cockle, bladder campion, Silene latifolia, Lychnis alba\nbladder campion, Silene uniflora, Silene vulgaris\nred campion, red bird's eye, Silene dioica, Lychnis dioica\nwild pink, Silene caroliniana\nmoss campion, Silene acaulis\nwax begonia, Begonia semperflorens\nhybrid tuberous begonia, Begonia tuberhybrida\nrex begonia, king begonia, painted-leaf begonia, beefsteak geranium, Begonia rex\ncrown daisy, Chrysanthemum coronarium\ncorn marigold, field marigold, Chrysanthemum segetum\nflorist's chrysanthemum, florists' chrysanthemum, mum, Dendranthema grandifloruom, Chrysanthemum morifolium\nAfrican marigold, big marigold, Aztec marigold, Tagetes erecta\nFrench marigold, Tagetes patula\nNew England aster, Aster novae-angliae\nbushy aster, Aster dumosus\nMichaelmas daisy, New York aster, Aster novi-belgii\nIndian paintbrush, painted cup\ngoldenrod\nsand verbena\nbitterroot, Lewisia rediviva\nIndian pipe, waxflower, Monotropa uniflora\nheliopsis, oxeye\nmeadow goldenrod, Canadian goldenrod, Solidago canadensis\npasqueflower, pasque flower\nfleabane\nblazing star, button snakeroot, gayfeather, snakeroot\nedelweiss, Leontopodium alpinum\nconeflower\nballoon flower, scented penstemon, Penstemon palmeri\nwild carrot, Queen Anne's lace, Daucus carota\nprairie gentian, tulip gentian, bluebell, Eustoma grandiflorum\ndesert sunflower, Gerea canescens\nArnica montana\nbutterweed, ragwort, Senecio glabellus\ngaillardia\nbrittlebush, brittle bush, incienso, Encelia farinosa\norange daisy, orange fleabane, Erigeron aurantiacus\ndaisy fleabane, Erigeron annuus\nMexican hat, Ratibida columnaris\nlong-head coneflower, prairie coneflower, Ratibida columnifera\ncycad\nwelwitschia, Welwitschia mirabilis\nencephalartos\ndioon\nmacrozamia\nfalse sago, fern palm, Cycas circinalis\nwater shamrock, buckbean, bogbean, bog myrtle, marsh trefoil, Menyanthes trifoliata\nwater hyacinth, water orchid, Eichhornia crassipes, Eichhornia spesiosa\npistia, water lettuce, water cabbage, Pistia stratiotes, Pistia stratoites\nwater lily\nmarsh plant, bog plant, swamp plant\nwater nymph, fragrant water lily, pond lily, Nymphaea odorata\nEuropean white lily, Nymphaea alba\nbog star, Parnassia palustris\nmarsh marigold, kingcup, meadow bright, May blob, cowslip, water dragon, Caltha palustris\nwild calla, water arum, Calla palustris\nsedge\nparnassia, grass-of-Parnassus\nskunk cabbage, Lysichiton americanum\nskunk cabbage, polecat weed, foetid pothos, Symplocarpus foetidus\ncotton grass, cotton rush\nnutgrass, nut grass, nutsedge, nut sedge, Cyperus rotundus\ncommon cotton grass, Eriophorum angustifolium\nwinter aconite, Eranthis hyemalis\nbuttercup, butterflower, butter-flower, crowfoot, goldcup, kingcup\nphlox\nwillowherb\nstapelia, carrion flower, starfish flower\nskullcap, helmetflower\nbedstraw\ngumweed, gum plant, tarweed, rosinweed\nkangaroo paw, kangaroo's paw, kangaroo's-foot, kangaroo-foot plant, Australian sword lily, Anigozanthus manglesii\ncommon chickweed, Stellaria media\nhyssop, Hyssopus officinalis\narum, aroid\ncommon comfrey, boneset, Symphytum officinale\nborage, tailwort, Borago officinalis\nnasturtium\ncanna\nloosestrife\ntoad lily, Montia chamissoi\nglobe thistle\nwild thyme, creeping thyme, Thymus serpyllum\ncommon fennel, Foeniculum vulgare\nbear's breech, bear's breeches, sea holly, Acanthus mollis\nironweed, vernonia\nfeverfew, Tanacetum parthenium, Chrysanthemum parthenium\nmonarda, wild bergamot\nphysostegia\ncreeping bugle, Ajuga reptans\nvegetable\nhedge nettle, Stachys palustris\nplum tomato\nground cherry, husk tomato\nflax\nprimrose, primula\noxalis, sorrel, wood sorrel\nkniphofia, tritoma, flame flower, flame-flower, flameflower\nboneset, agueweed, thoroughwort, Eupatorium perfoliatum\nchickweed\nperiwinkle, rose periwinkle, Madagascar periwinkle, old maid, Cape periwinkle, red periwinkle, cayenne jasmine, Catharanthus roseus, Vinca rosea\ngarden angelica, archangel, Angelica Archangelica\nbugloss, alkanet, Anchusa officinalis\nDutchman's breeches, Dicentra cucullaria\npie plant, garden rhubarb, Rheum cultorum, Rheum rhabarbarum, Rheum rhaponticum\ncow parsnip, hogweed, Heracleum sphondylium\nbutterbur, bog rhubarb, Petasites hybridus, Petasites vulgaris\nmilk thistle, lady's thistle, Our Lady's mild thistle, holy thistle, blessed thistle, Silybum marianum\nmouse-ear chickweed, mouse eared chickweed, mouse ear, clammy chickweed, chickweed\nyellow bells, California yellow bells, whispering bells, Emmanthe penduliflora\nlobelia\nanise hyssop, Agastache foeniculum\nbanana, banana tree\nJoe-Pye weed, purple boneset, trumpet weed, marsh milkweed, Eupatorium purpureum\nJoe-Pye weed, spotted Joe-Pye weed, Eupatorium maculatum\ngarden forget-me-not, Myosotis sylvatica\nevening primrose\nspiderflower, cleome\nsweet false chamomile, wild chamomile, German chamomile, Matricaria recutita, Matricaria chamomilla\nagrimonia, agrimony\nhepatica, liverleaf\nmedic, medick, trefoil\npeperomia\ngeranium\nviola\nokra, gumbo, okra plant, lady's-finger, Abelmoschus esculentus, Hibiscus esculentus\nbergenia\nastrantia, masterwort\naspidistra, cast-iron plant, bar-room plant, Aspidistra elatio\nthyme\ncommon teasel, Dipsacus fullonum\ncarnivorous plant\nharvest-lice, Agrimonia eupatoria\nnemophila\nhawkweed\nhawkweed\nfleabane, feabane mullet, Pulicaria dysenterica\nplumbago\nspiderwort, dayflower\nprickly poppy, argemone, white thistle, devil's fig\ncommon foxglove, fairy bell, fingerflower, finger-flower, fingerroot, finger-root, Digitalis purpurea\nstonecrop\ngarden lettuce, common lettuce, Lactuca sativa\nteasel, teazel, teasle\nherb Paris, Paris quadrifolia\ncoltsfoot, Tussilago farfara\nbasil\nsainfoin, sanfoin, holy clover, esparcet, Onobrychis viciifolia, Onobrychis viciaefolia\nsneezeweed\ncockscomb, common cockscomb, Celosia cristata, Celosia argentea cristata\nbaby blue-eyes, Nemophila menziesii\ncoleus, flame nettle\nspurge nettle, tread-softly, devil nettle, pica-pica, Cnidoscolus urens, Jatropha urens, Jatropha stimulosus\narnica\nsour dock, garden sorrel, Rumex acetosa\nclover, trefoil\nmint\ncoreopsis, tickseed, tickweed, tick-weed\npimpernel\nkidney vetch, Anthyllis vulneraria\nfoxglove, digitalis\nlegume, leguminous plant\nreseda\nforget-me-not, mouse ear, Myosotis scorpiodes\nVirginia bluebell, Virginia cowslip, Mertensia virginica\npineapple, pineapple plant, Ananas comosus\nblueweed, blue devil, blue thistle, viper's bugloss, Echium vulgare\nanchusa\nmoss pink, mountain phlox, moss phlox, dwarf phlox, Phlox subulata\ncommon dandelion, Taraxacum ruderalia, Taraxacum officinale\nfalse lupine, golden pea, yellow pea, Thermopsis macrophylla\nsage, salvia\nchamomile, camomile, Chamaemelum nobilis, Anthemis nobilis\ncrucifer, cruciferous plant\nchicory, succory, chicory plant, Cichorium intybus\nbroad-leaved plantain, common plantain, white-man's foot, whiteman's foot, cart-track plant, Plantago major\nbugle, bugleweed\nmilkweed, silkweed\nfireweed, giant willowherb, rosebay willowherb, wickup, Epilobium angustifolium\nspirea, spiraea, Astilbe japonica\ninula\nhemp nettle, dead nettle, Galeopsis tetrahit\ngarden nasturtium, Indian cress, Tropaeolum majus\npokeweed\nmoneywort, creeping Jenny, creeping Charlie, Lysimachia nummularia\nasparagus, edible asparagus, Asparagus officinales\nItalian parsley, flat-leaf parsley, Petroselinum crispum neapolitanum\nrhubarb, rhubarb plant\njewelweed, lady's earrings, orange balsam, celandine, touch-me-not, Impatiens capensis\nasparagus fern, Asparagus setaceous, Asparagus plumosus\nsedum\nyarrow, milfoil, Achillea millefolium\nbird's foot trefoil, Trigonella ornithopodioides\nscarlet pimpernel, red pimpernel, poor man's weatherglass, Anagallis arvensis\ncampanula, bellflower\nmayapple, May apple, wild mandrake, Podophyllum peltatum\npainted nettle, Joseph's coat, Coleus blumei, Solenostemon blumei, Solenostemon scutellarioides\npigweed, Amaranthus hypochondriacus\nbleeding heart, lyreflower, lyre-flower, Dicentra spectabilis\nachillea\nsnow-in-summer, love-in-a-mist, Cerastium tomentosum\ngramineous plant, graminaceous plant\nbalsamroot\nAbyssinian banana, Ethiopian banana, Ensete ventricosum, Musa ensete\nherbage, pasturage\nastilbe\nginger\nsaxifrage, breakstone, rockfoil\ncow parsley, wild chervil, Anthriscus sylvestris\ndill, Anethum graveolens\ncommon mullein, great mullein, Aaron's rod, flannel mullein, woolly mullein, torch, Verbascum thapsus\ndead nettle\ncreeping buttercup, creeping crowfoot, Ranunculus repens\nmeadow buttercup, tall buttercup, tall crowfoot, tall field buttercup, Ranunculus acris\nyellow bedstraw, yellow cleavers, Our Lady's bedstraw, Galium verum\nsweet woodruff, waldmeister, woodruff, fragrant bedstraw, Galium odoratum, Asperula odorata\ncaladium\ncuckoopint, lords-and-ladies, jack-in-the-pulpit, Arum maculatum\njack-in-the-pulpit, Indian turnip, wake-robin, Arisaema triphyllum, Arisaema atrorubens\nalocasia, elephant's ear, elephant ear\ntaro, taro plant, dalo, dasheen, Colocasia esculenta\namorphophallus\nbee balm, beebalm, Monarda fistulosa\nbee balm, beebalm, bergamot mint, oswego tea, Monarda didyma\nartichoke, globe artichoke, artichoke plant, Cynara scolymus\ncardoon, Cynara cardunculus\ntomatillo, miltomate, purple ground cherry, jamberry, Physalis philadelphica\ntomatillo, jamberry, Mexican husk tomato, Physalis ixocarpa\nEnglish primrose, Primula vulgaris\noxlip, paigle, Primula elatior\ncowslip, paigle, Primula veris\npolyanthus, Primula polyantha\ncreeping oxalis, creeping wood sorrel, Oxalis corniculata\ncommon wood sorrel, cuckoo bread, shamrock, Oxalis acetosella\nBermuda buttercup, English-weed, Oxalis pes-caprae, Oxalis cernua\nred-hot poker, Kniphofia praecox\npoker plant, Kniphofia uvaria\ndwarf banana, Musa acuminata\nJapanese banana, Musa basjoo\nplantain, plantain tree, Musa paradisiaca\nsundrops, Oenothera fruticosa\ncommon evening primrose, German rampion, Oenothera biennis\nivy geranium, ivy-leaved geranium, hanging geranium, Pelargonium peltatum\ncranesbill, crane's bill\nfish geranium, bedding geranium, zonal pelargonium, Pelargonium hortorum\nrose geranium, sweet-scented geranium, Pelargonium graveolens\nmeadow cranesbill, Geranium pratense\nwild geranium, spotted cranesbill, Geranium maculatum\ndove's foot geranium, Geranium molle\nherb robert, herbs robert, herb roberts, Geranium robertianum\nhorned violet, tufted pansy, Viola cornuta\nfield pansy, heartsease, Viola arvensis\nviolet\ndog violet, heath violet, Viola canina\npale violet, striped violet, cream violet, Viola striata\nbird's-foot violet, pansy violet, Johnny-jump-up, wood violet, Viola pedata\nhedge violet, wood violet, Viola sylvatica, Viola reichenbachiana\nVenus's flytrap, Venus's flytraps, Dionaea muscipula\npitcher plant\ntropical pitcher plant\nsundew, sundew plant, daily dew\nwhite clover, dutch clover, shamrock, Trifolium repens\nred clover, purple clover, Trifolium pratense\ncrimson clover, Italian clover, Trifolium incarnatum\npennyroyal, Mentha pulegium\nwater-mint, water mint, Mentha aquatica\nbeach pea, sea pea, Lathyrus maritimus, Lathyrus japonicus\nchickpea, chickpea plant, Egyptian pea, Cicer arietinum\nvetch\ntufted vetch, bird vetch, Calnada pea, Vicia cracca\nbean, bean plant\nwild pea\nscarlet runner, scarlet runner bean, Dutch case-knife bean, runner bean, Phaseolus coccineus, Phaseolus multiflorus\nsieva bean, butter bean, butter-bean plant, lima bean, Phaseolus lunatus\nclary, Salvia sclarea\ncommon sage, ramona, Salvia officinalis\nclary sage, Salvia clarea\nwild sage, wild clary, vervain sage, Salvia verbenaca\npurple sage, chaparral sage, Salvia leucophylla\nmeadow clary, Salvia pratensis\nbok choy, bok choi, pakchoi, pak choi, Chinese white cabbage, Brassica rapa chinensis\nmustard\ncabbage, cultivated cabbage, Brassica oleracea\ncauliflower, Brassica oleracea botrytis\ncollard\nbroccoli, Brassica oleracea italica\nbrussels sprout, Brassica oleracea gemmifera\ngarlic mustard, hedge garlic, sauce-alone, jack-by-the-hedge, Alliaria officinalis\nhead cabbage, head cabbage plant, Brassica oleracea capitata\nradish plant, radish\nbittercress, bitter cress\nalyssum, madwort\nfield mustard, wild mustard, charlock, chadlock, Brassica kaber, Sinapis arvensis\nrape, colza, Brassica napus\nradish, daikon, Japanese radish, Raphanus sativus longipinnatus\nradish, Raphanus sativus\nlady's smock, cuckooflower, cuckoo flower, meadow cress, Cardamine pratensis\ncrinkleroot, crinkle-root, crinkle root, pepper root, toothwort, Cardamine diphylla, Dentaria diphylla\nbutterfly weed, orange milkweed, chigger flower, chiggerflower, pleurisy root, tuber root, Indian paintbrush, Asclepias tuberosa\nswamp milkweed, Asclepias incarnata\ntussock bellflower, spreading bellflower, Campanula carpatica\nCanterbury bell, cup and saucer, Campanula medium\nclustered bellflower, Campanula glomerata\npeach bells, peach bell, willow bell, Campanula persicifolia\ngiant bamboo, kyo-chiku, Dendrocalamus giganteus\ngrass\nfescue, fescue grass, meadow fescue, Festuca elatior\ncordgrass, cord grass\nfeather reed grass, feathertop, Calamagrostis acutiflora\nreed grass\norchard grass, cocksfoot, cockspur, Dactylis glomerata\ncereal, cereal grass\nbroom beard grass, prairie grass, wire grass, Andropogon scoparius, Schizachyrium scoparium\ntall oat grass, tall meadow grass, evergreen grass, false oat, French rye, Arrhenatherum elatius\ntallgrass, tall-grass\nSt. Augustine grass, Stenotaphrum secundatum, buffalo grass\npampas grass, Cortaderia selloana\ngrama, grama grass, gramma, gramma grass\ndallisgrass, dallis grass, paspalum, Paspalum dilatatum\nzoysia\nrye grass, ryegrass\nbrome, bromegrass\nfountain grass, Pennisetum ruppelii, Pennisetum setaceum\nrye, Secale cereale\npopcorn, Zea mays everta\nwheat\nmillet\nsorghum\npanic grass\ngoose grass, Texas millet, Panicum Texanum\nswitch grass, Panicum virgatum\ncommon ginger, Canton ginger, stem ginger, Zingiber officinale\nshellflower, shall-flower, shell ginger, Alpinia Zerumbet, Alpinia speciosa, Languas speciosa\nmeadow saxifrage, fair-maids-of-France, Saxifraga granulata\npurple saxifrage, Saxifraga oppositifolia\nwhite dead nettle, Lamium album\nhenbit, Lamium amplexicaule\nground ivy, alehoof, field balm, gill-over-the-ground, runaway robin, Glechoma hederaceae, Nepeta hederaceae\nblue pea, butterfly pea, Clitoria turnatea\npurple clematis, purple virgin's bower, mountain clematis, Clematis verticillaris\nblack-eyed Susan, black-eyed Susan vine, Thunbergia alata\nbougainvillea\nbutterfly pea, Clitoria mariana\nbutterfly pea, Centrosema virginianum\nbindweed\nkudzu, kudzu vine, Pueraria lobata\nBoston ivy, Japanese ivy, Parthenocissus tricuspidata\nsquash, squash vine\nyellow jasmine, yellow jessamine, Carolina jasmine, evening trumpet flower, Gelsemium sempervirens\nwax plant, Hoya carnosa\nmorning glory\nliana\nJapanese wistaria, Wisteria floribunda\nallamanda\nfield bindweed, wild morning-glory, Convolvulus arvensis\ncommon allamanda, golden trumpet, Allamanda cathartica\npassionflower, passionflower vine\nconvolvulus\ngourd, gourd vine\ngrape, grapevine, grape vine\nChinese gooseberry, kiwi, kiwi vine, Actinidia chinensis, Actinidia deliciosa\nsummer squash, summer squash vine, Cucurbita pepo melopepo\nwinter squash, winter squash plant\npumpkin, pumpkin vine, autumn pumpkin, Cucurbita pepo\nspaghetti squash\nyellow squash\nacorn squash\nwinter crookneck, winter crookneck squash, Cucurbita moschata\ncypress vine, star-glory, Indian pink, Ipomoea quamoclit, Quamoclit pennata\nJapanese morning glory, Ipomoea nil\nmoonflower, belle de nuit, Ipomoea alba\ngolden pothos, pothos, ivy arum, Epipremnum aureum, Scindapsus aureus\nceriman, Monstera deliciosa\njade vine, emerald creeper, Strongylodon macrobotrys\npothos\nlove-in-a-mist, running pop, wild water lemon, Passiflora foetida\nmaypop, Passiflora incarnata\ngranadilla, giant granadilla, Passiflora quadrangularis\nsweet melon, muskmelon, sweet melon vine, Cucumis melo\nbottle gourd, calabash, Lagenaria siceraria\nnet melon, netted melon, nutmeg melon, Cucumis melo reticulatus\nwinter melon, Persian melon, honeydew melon, winter melon vine, Cucumis melo inodorus\ncantaloupe, cantaloup, cantaloupe vine, cantaloup vine, Cucumis melo cantalupensis\nSauvignon grape\nfox grape, Vitis labrusca\nwild indigo, false indigo\nshrub, bush\ntree\nraspberry, raspberry bush\nlupine, lupin\nabelia\nbanksia\nbird pepper, Capsicum frutescens baccatum, Capsicum baccatum\nsea holly, sea holm, sea eryngium, Eryngium maritimum\nguelder rose, European cranberrybush, European cranberry bush, crampbark, cranberry tree, Viburnum opulus\ncrape myrtle, crepe myrtle, crepe flower, Lagerstroemia indica\ncastor-oil plant, castor bean plant, palma christi, palma christ, Ricinus communis\nspirea, spiraea\nhydrangea\nfuchsia\nredberry, red-berry, Rhamnus croceus\nsaltbush\nfalse indigo, Amorpha fruticosa\nbridal wreath, bridal-wreath, Saint Peter's wreath, St. Peter's wreath, Spiraea prunifolia\nprotea\nOregon grape, Oregon holly grape, hollygrape, mountain grape, holly-leaves barberry, Mahonia aquifolium\ngrevillea\ngorse, furze, whin, Irish gorse, Ulex europaeus\nrockrose, rock rose\ncowberry, mountain cranberry, lingonberry, lingenberry, lingberry, foxberry, Vaccinium vitis-idaea\nsubshrub, suffrutex\nhoneypot, king protea, Protea cynaroides\nCalifornia fuchsia, humming bird's trumpet, Epilobium canum canum, Zauschneria californica\nsumac, sumach, shumac\njasmine\nimpala lily, mock azalia, desert rose, kudu lily, Adenium obesum, Adenium multiflorum\ncurrant, currant bush\naxseed, crown vetch, Coronilla varia\nmimosa\nsouthern buckthorn, shittimwood, shittim, mock orange, Bumelia lycioides\nflowering quince\nyucca\npurple heather, Brewer's mountain heather, Phyllodoce breweri\nwaratah, Telopea speciosissima\nmallow\nstrawberry tree, Irish strawberry, Arbutus unedo\nmock orange, syringa, Philadelphus coronarius\nhoneysuckle\nspurge\nkalmia\nbush hibiscus, Radyera farragei, Hibiscus farragei\nweigela, Weigela florida\nChristmasberry, Christmas berry, Lycium carolinianum\nangel's trumpet, maikoa, Brugmansia arborea, Datura arborea\nangel's trumpet, Brugmansia suaveolens, Datura suaveolens\ngooseberry, gooseberry bush, Ribes uva-crispa, Ribes grossularia\ndusty miller, Senecio cineraria, Cineraria maritima\ncroton, Croton tiglium\nPyracantha, pyracanth, fire thorn, firethorn\nforsythia\nartemisia\nsilversword, Argyroxiphium sandwicense\nwaratah, Telopea Oreades\nphiladelphus\ncommon lilac, Syringa vulgaris\nsaltwort, barilla, glasswort, kali, kelpwort, Salsola kali, Salsola soda\ncalliandra\nwahoo, burning bush, Euonymus atropurpureus\nbird of paradise, poinciana, Caesalpinia gilliesii, Poinciana gilliesii\ncape jasmine, cape jessamine, Gardenia jasminoides, Gardenia augusta\ncamellia, camelia\nnight jasmine, night jessamine, Cestrum nocturnum\nrose, rosebush\nmountain laurel, wood laurel, American laurel, calico bush, Kalmia latifolia\ncotoneaster\nrhododendron\nfrangipani, frangipanni\nbroom\ndesert pea, Sturt pea, Sturt's desert pea, Clianthus formosus, Clianthus speciosus\nlavender\nbutterfly bush, buddleia\ndeutzia\nhortensia, Hydrangea macrophylla hortensis\nburdock, clotbur\nprairie smoke, purple avens, Geum triflorum\ncentaury\nsea lavender, marsh rosemary, statice\ncommon mugwort, Artemisia vulgaris\nbird's foot trefoil, bird's foot clover, babies' slippers, bacon and eggs, Lotus corniculatus\nlarge periwinkle, Vinca major\ngreat burdock, greater burdock, cocklebur, Arctium lappa\nSt John's wort\neriogonum\npurple loosestrife, spiked loosestrife, Lythrum salicaria\nloosestrife\nmountain avens, Dryas octopetala\nmatilija poppy, California tree poppy, Romneya coulteri\nbur marigold, burr marigold, beggar-ticks, beggar's-ticks, sticktight\nwild lupine, sundial lupine, Indian beet, old-maid's bonnet, Lupinus perennis\nmarguerite, marguerite daisy, Paris daisy, Chrysanthemum frutescens, Argyranthemum frutescens\ndusty miller, Centaurea cineraria, Centaurea gymnocarpa\ngreat knapweed, greater knapweed, Centaurea scabiosa\nknapweed\ncreeping St John's wort, Hypericum calycinum\nklammath weed, Hypericum perforatum\ncommon St John's wort, tutsan, Hypericum androsaemum\ncommon jasmine, true jasmine, jessamine, Jasminum officinale\nwinter jasmine, Jasminum nudiflorum\nAdam's needle, Adam's needle-and-thread, spoonleaf yucca, needle palm, Yucca filamentosa\nbear grass, Yucca glauca\nJoshua tree, Yucca brevifolia\nSpanish dagger, Yucca gloriosa\nhollyhock\nrose mallow, Alcea rosea, Althea rosea\ncommon mallow, Malva neglecta\nmarsh mallow, white mallow, Althea officinalis\nmusk mallow, mus rose, Malva moschata\nhibiscus\nalthea, althaea, hollyhock\nrose mallow, swamp mallow, common rose mallow, swamp rose mallow, Hibiscus moscheutos\ncotton rose, Confederate rose, Confederate rose mallow, Hibiscus mutabilis\nwoodbine, Lonicera periclymenum\ntrumpet honeysuckle, coral honeysuckle, trumpet flower, trumpet vine, Lonicera sempervirens\nJapanese honeysuckle, Lonicera japonica\npoinsettia, Christmas star, Christmas flower, lobster plant, Mexican flameleaf, painted leaf, Euphorbia pulcherrima\ncrown of thorns, Christ thorn, Christ plant, Euphorbia milii\ndamask rose, summer damask rose, Rosa damascena\nmusk rose, Rosa moschata\nazalea\nrosebay, Rhododendron maxima\nswamp azalea, swamp honeysuckle, white honeysuckle, Rhododendron viscosum\ncommon broom, Scotch broom, green broom, Cytisus scoparius\nwoodwaxen, dyer's greenweed, dyer's-broom, dyeweed, greenweed, whin, woadwaxen, Genista tinctoria\nEnglish lavender, Lavandula angustifolia, Lavandula officinalis\nspike lavender, French lavender, Lavandula latifolia\nFrench lavender, Lavandula stoechas\nlocust tree, locust\nkowhai, Sophora tetraptera\nbottle-tree, bottle tree\ntimber tree\nlinden, linden tree, basswood, lime, lime tree\nbonsai\nsnag\nhackberry, nettle tree\npepper tree, molle, Peruvian mastic tree, Schinus molle\nJapanese oak, Lithocarpus glabra, Lithocarpus glaber\nEuropean hackberry, Mediterranean hackberry, Celtis australis\ncork tree, Phellodendron amurense\nbirch, birch tree\nstar anise, Chinese anise, Illicium verum\nred silk-cotton tree, simal, Bombax ceiba, Bombax malabarica\nroble, Platymiscium trinitatis\ncommon alder, European black alder, Alnus glutinosa, Alnus vulgaris\nfig tree\nJapanese pagoda tree, Chinese scholartree, Chinese scholar tree, Sophora japonica, Sophora sinensis\nalbizzia, albizia\nEuropean hornbeam, Carpinus betulus\ncassia\ncoral tree, erythrina\nneem, neem tree, nim tree, margosa, arishth, Azadirachta indica, Melia Azadirachta\nwhite mangrove, Laguncularia racemosa\nChinese parasol tree, Chinese parasol, Japanese varnish tree, phoenix tree, Firmiana simplex\nbayberry, bay-rum tree, Jamaica bayberry, wild cinnamon, Pimenta acris\nyellowwood, yellowwood tree\nelm, elm tree\nalder, alder tree\nprickly ash\nangiospermous tree, flowering tree\nchestnut, chestnut tree\ncabbage bark, cabbage-bark tree, cabbage tree, Andira inermis\nash, ash tree\nbeech, beech tree\nfringe tree\ngolden shower tree, drumstick tree, purging cassia, pudding pipe tree, canafistola, canafistula, Cassia fistula\nlead tree, white popinac, Leucaena glauca, Leucaena leucocephala\npalm, palm tree\nbalata, balata tree, beefwood, bully tree, Manilkara bidentata\nsapling\nblack beech, Nothofagus solanderi\nacacia\ncoffee, coffee tree\ngymnospermous tree\nceibo, crybaby tree, cry-baby tree, common coral tree, Erythrina crista-galli\nincense tree\nlacebark, ribbonwood, houhere, Hoheria populnea\nshade tree\npollard\ngum tree, gum\nwild medlar, wild medlar tree, medlar, Vangueria infausta\nhornbeam\nwillow, willow tree\nlauhala, Pandanus tectorius\nmescal bean, coral bean, frijolito, frijolillo, Sophora secundiflora\nBrazilian rosewood, caviuna wood, jacaranda, Dalbergia nigra\npandanus\nwhite mangrove, Avicennia officinalis\noak, oak tree\nbean tree\nplane tree, sycamore, platan\nblackwood, blackwood tree\ncoralwood, coral-wood, red sandalwood, Barbados pride, peacock flower fence, Adenanthera pavonina\nKentucky coffee tree, bonduc, chicot, Gymnocladus dioica\nblack locust, yellow locust, Robinia pseudoacacia\nhoney locust, Gleditsia triacanthos\nflame tree, broad-leaved bottletree, Brachychiton australis\nflame tree, flame durrajong, Brachychiton acerifolius, Sterculia acerifolia\nkurrajong, currajong, Brachychiton populneus\nAmerican basswood, American lime, Tilia americana\nsilver lime, silver linden, Tilia tomentosa\nblack birch, river birch, red birch, Betula nigra\nsilver birch, common birch, European white birch, Betula pendula\nswamp birch, water birch, mountain birch, Western paper birch, Western birch, Betula fontinalis\ndowny birch, white birch, Betula pubescens\ngrey birch, gray birch, American grey birch, American gray birch, Betula populifolia\ngolden fig, Florida strangler fig, strangler fig, wild fig, Ficus aurea\nIndia-rubber tree, India-rubber plant, India-rubber fig, rubber plant, Assam rubber, Ficus elastica\nfig, common fig, common fig tree, Ficus carica\nbanyan, banyan tree, banian, banian tree, Indian banyan, East Indian fig tree, Ficus bengalensis\npipal, pipal tree, pipul, peepul, sacred fig, bo tree, Ficus religiosa\nrain tree, saman, monkeypod, monkey pod, zaman, zamang, Albizia saman\nsilk tree, Albizia julibrissin, Albizzia julibrissin\nsmooth-leaved elm, European field elm, Ulmus carpinifolia\nAmerican elm, white elm, water elm, rock elm, Ulmus americana\nEnglish elm, European elm, Ulmus procera\ncedar elm, Ulmus crassifolia\nmyrtle\nmangrove, Rhizophora mangle\nmagnolia\nQueen's crape myrtle, pride-of-India, Lagerstroemia speciosa\nlooking-glass plant, Heritiera littoralis\ntulip tree, tulip poplar, yellow poplar, canary whitewood, Liriodendron tulipifera\nmaple\nnut tree\nredbud, Cercis canadensis\nbaobab, monkey-bread tree, Adansonia digitata\npoplar, poplar tree\ntree of heaven, tree of the gods, Ailanthus altissima\nailanthus\ndogwood, dogwood tree, cornel\nholly\ncacao, cacao tree, chocolate tree, Theobroma cacao\nlaurel\nmountain ebony, orchid tree, Bauhinia variegata\nkapok, ceiba tree, silk-cotton tree, white silk-cotton tree, Bombay ceiba, God tree, Ceiba pentandra\nsorrel tree, sourwood, titi, Oxydendrum arboreum\ncacao bean, cocoa bean\nSpanish elm, Equador laurel, salmwood, cypre, princewood, Cordia alliodora\nrowan, rowan tree, European mountain ash, Sorbus aucuparia\nmountain ash\nroyal poinciana, flamboyant, flame tree, peacock flower, Delonix regia, Poinciana regia\niron tree, iron-tree, ironwood, ironwood tree\nfruit tree\nsweet bay, swamp bay, swamp laurel, Magnolia virginiana\nsouthern magnolia, evergreen magnolia, large-flowering magnolia, bull bay, Magnolia grandiflora\nstar magnolia, Magnolia stellata\numbrella tree, umbrella magnolia, elkwood, elk-wood, Magnolia tripetala\nbox elder, ash-leaved maple, Acer negundo\nred maple, scarlet maple, swamp maple, Acer rubrum\nhedge maple, field maple, Acer campestre\nNorway maple, Acer platanoides\nJapanese maple, full moon maple, Acer japonicum\nsycamore, great maple, scottish maple, Acer pseudoplatanus\nCalifornia box elder, Acer negundo Californicum\nsilver maple, Acer saccharinum\nsugar maple, rock maple, Acer saccharum\nOregon maple, big-leaf maple, Acer macrophyllum\ncashew, cashew tree, Anacardium occidentale\nwalnut, walnut tree\nhazelnut, hazel, hazelnut tree\nblack walnut, black walnut tree, black hickory, Juglans nigra\nEnglish walnut, English walnut tree, Circassian walnut, Persian walnut, Juglans regia\nblack poplar, Populus nigra\naspen\ncottonwood\nwhite poplar, white aspen, abele, aspen poplar, silver-leaved poplar, Populus alba\nquaking aspen, European quaking aspen, Populus tremula\nEastern cottonwood, necklace poplar, Populus deltoides\nblack cottonwood, Western balsam poplar, Populus trichocarpa\ncornelian cherry, Cornus mas\nbunchberry, dwarf cornel, crackerberry, pudding berry, Cornus canadensis\ncommon European dogwood, red dogwood, blood-twig, pedwood, Cornus sanguinea\ncommon white dogwood, eastern flowering dogwood, Cornus florida\nbearberry, possum haw, winterberry, Ilex decidua\ninkberry, gallberry, gall-berry, evergreen winterberry, Ilex glabra\ntrue laurel, bay, bay laurel, bay tree, Laurus nobilis\ncassia, cassia-bark tree, Cinnamomum cassia\ncitrus, citrus tree\nmulberry, mulberry tree\njackfruit, jackfruit tree, Artocarpus heterophyllus\npomegranate, pomegranate tree, Punica granatum\npawpaw, papaw, papaw tree, Asimina triloba\npersimmon, persimmon tree\ncarambola, carambola tree, Averrhoa carambola\nplum, plum tree\nalmond tree\ndurian, durion, durian tree, Durio zibethinus\npapaya, papaia, pawpaw, papaya tree, melon tree, Carica papaya\nolive tree\nlongan, lungen, longanberry, Dimocarpus longan, Euphorbia litchi, Nephelium longana\npear, pear tree, Pyrus communis\nloquat, loquat tree, Japanese medlar, Japanese plum, Eriobotrya japonica\nmedlar, medlar tree, Mespilus germanica\npeach, peach tree, Prunus persica\nwhite mulberry, Morus alba\nolive, European olive tree, Olea europaea\nlitchi, lichee, litchi tree, Litchi chinensis, Nephelium litchi\nJapanese apricot, mei, Prunus mume\nrambutan, rambotan, rambutan tree, Nephelium lappaceum\napple tree\nJapanese persimmon, kaki, Diospyros kaki\nmango, mango tree, Mangifera indica\nbreadfruit, breadfruit tree, Artocarpus communis, Artocarpus altilis\nguava, true guava, guava bush, Psidium guajava\nguava, strawberry guava, yellow cattley guava, Psidium littorale\njaboticaba, jaboticaba tree, Myrciaria cauliflora\ncherry, cherry tree\nSurinam cherry, pitanga, Eugenia uniflora\nlime, lime tree, Citrus aurantifolia\nmandarin, mandarin orange, mandarin orange tree, Citrus reticulata\norange, orange tree\nkumquat, cumquat, kumquat tree\nlemon, lemon tree, Citrus limon\npomelo, pomelo tree, pummelo, shaddock, Citrus maxima, Citrus grandis, Citrus decumana\ngrapefruit, Citrus paradisi\nclementine, clementine tree\ntangerine, tangerine tree\nsweet orange, sweet orange tree, Citrus sinensis\nsour orange, Seville orange, bitter orange, bitter orange tree, bigarade, marmalade orange, Citrus aurantium\nbergamot, bergamot orange, Citrus bergamia\ncherry plum, myrobalan, myrobalan plum, Prunus cerasifera\nAllegheny plum, Alleghany plum, sloe, Prunus alleghaniensis\nflowering almond, oriental bush cherry, Prunus japonica\nalmond, sweet almond, Prunus dulcis, Prunus amygdalus, Amygdalus communis\nflowering almond, Prunus triloba\ncrab apple, crabapple, cultivated crab apple\napple, orchard apple tree, Malus pumila\nwild apple, crab apple, crabapple\nSouthern crab apple, flowering crab, Malus angustifolia\nBechtel crab, flowering crab\nIowa crab, Iowa crab apple, prairie crab, western crab apple, Malus ioensis\nsour cherry, sour cherry tree, Prunus cerasus\nflowering cherry\nwild cherry, wild cherry tree\nsweet cherry, Prunus avium\nchokecherry, chokecherry tree, Prunus virginiana\nJapanese flowering cherry, Prunus sieboldii\noriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata\nfuji, fuji cherry, Prunus incisa\nhagberry tree, European bird cherry, common bird cherry, Prunus padus\nblack cherry, black cherry tree, rum cherry, Prunus serotina\nOzark chinkapin, Ozark chinquapin, chinquapin, Castanea ozarkensis\nAmerican chestnut, American sweet chestnut, Castanea dentata\npumpkin ash, Fraxinus tomentosa\nmountain ash, Fraxinus texensis\nmanna ash, flowering ash, Fraxinus ornus\nEuropean ash, common European ash, Fraxinus excelsior\nred ash, downy ash, Fraxinus pennsylvanica\nweeping beech, Fagus pendula, Fagus sylvatica pendula\nAmerican beech, white beech, red beech, Fagus grandifolia, Fagus americana\ncopper beech, purple beech, Fagus sylvatica atropunicea, Fagus purpurea, Fagus sylvatica purpurea\nbamboo palm, Raffia vinifera\nwine palm, jaggery palm, kitul, kittul, kitul tree, toddy palm, Caryota urens\nfan palm\nroyal palm, Roystonea regia\ncabbage palm, cabbage tree, Livistona australis\ncabbage palm, Roystonea oleracea\nsago palm\nminiature fan palm, bamboo palm, fern rhapis, Rhapis excelsa\nlady palm\nfeather palm\ncoconut, coconut palm, coco palm, coco, cocoa palm, coconut tree, Cocos nucifera\ncabbage palm, Euterpe oleracea\ncarnauba, carnauba palm, wax palm, Copernicia prunifera, Copernicia cerifera\ncaranday, caranda, caranda palm, wax palm, Copernicia australis, Copernicia alba\npalmyra, palmyra palm, toddy palm, wine palm, lontar, longar palm, Borassus flabellifer\ncabbage palmetto, cabbage palm, Sabal palmetto\nkey palm, silvertop palmetto, silver thatch, Thrinax microcarpa, Thrinax morrisii, Thrinax keyensis\nsaw palmetto, scrub palmetto, Serenoa repens\npalmetto\ndate palm, Phoenix dactylifera\noil palm\nsilver wattle, mimosa, Acacia dealbata\nwattle\nhuisache, cassie, mimosa bush, sweet wattle, sweet acacia, scented wattle, flame tree, Acacia farnesiana\nginkgo, gingko, maidenhair tree, Ginkgo biloba\nconifer, coniferous tree\nkauri, kaury, Agathis australis\ngreen douglas fir, douglas spruce, douglas pine, douglas hemlock, Oregon fir, Oregon pine, Pseudotsuga menziesii\nmiro, black pine, Prumnopitys ferruginea, Podocarpus ferruginea\ncedar, cedar tree, true cedar\ncedar, cedar tree\ndouglas fir\nmatai, black pine, Prumnopitys taxifolia, Podocarpus spicata\narborvitae\nspruce\nyew\naraucaria\ncypress, cypress tree\nmetasequoia, dawn redwood, Metasequoia glyptostrodoides\npine, pine tree, true pine\nfir, fir tree, true fir\nlarch, larch tree\nhemlock, hemlock tree\ncedar of Lebanon, Cedrus libani\nAtlas cedar, Cedrus atlantica\ndeodar, deodar cedar, Himalayan cedar, Cedrus deodara\nsouthern white cedar, coast white cedar, Atlantic white cedar, white cypress, white cedar, Chamaecyparis thyoides\nincense cedar, red cedar, Calocedrus decurrens, Libocedrus decurrens\nOregon cedar, Port Orford cedar, Lawson's cypress, Lawson's cedar, Chamaecyparis lawsoniana\nJapanese cedar, Japan cedar, sugi, Cryptomeria japonica\nOriental arborvitae, Thuja orientalis, Platycladus orientalis\nAmerican arborvitae, northern white cedar, white cedar, Thuja occidentalis\nwestern red cedar, red cedar, canoe cedar, Thuja plicata\nColorado spruce, Colorado blue spruce, silver spruce, Picea pungens\nwhite spruce, Picea glauca\nNorway spruce, Picea abies\nred spruce, eastern spruce, yellow spruce, Picea rubens\nblack spruce, Picea mariana, spruce pine\nSitka spruce, Picea sitchensis\noriental spruce, Picea orientalis\nbunya bunya, bunya bunya tree, Araucaria bidwillii\nmonkey puzzle, chile pine, Araucaria araucana\nMonterey cypress, Cupressus macrocarpa\nArizona cypress, Cupressus arizonica\nItalian cypress, Mediterranean cypress, Cupressus sempervirens\nScotch pine, Scots pine, Scotch fir, Pinus sylvestris\npond pine, Pinus serotina\npitch pine, northern pitch pine, Pinus rigida\ntable-mountain pine, prickly pine, hickory pine, Pinus pungens\nancient pine, Pinus longaeva\nstone pine, umbrella pine, European nut pine, Pinus pinea\nJeffrey pine, Jeffrey's pine, black pine, Pinus jeffreyi\nloblolly pine, frankincense pine, Pinus taeda\nSwiss pine, Swiss stone pine, arolla pine, cembra nut tree, Pinus cembra\nspruce pine, Pinus glabra\nwhite pine\nred pine, Canadian red pine, Pinus resinosa\nJapanese black pine, black pine, Pinus thunbergii\nSwiss mountain pine, mountain pine, dwarf mountain pine, mugho pine, mugo pine, Pinus mugo\nblack pine, Pinus nigra\nMonterey pine, Pinus radiata\nyellow pine\nTorrey pine, Torrey's pine, soledad pine, grey-leaf pine, sabine pine, Pinus torreyana\nshore pine, lodgepole, lodgepole pine, spruce pine, Pinus contorta\nbristlecone pine, Rocky Mountain bristlecone pine, Pinus aristata\nwhitebark pine, whitebarked pine, Pinus albicaulis\nwestern white pine, silver pine, mountain pine, Pinus monticola\nlongleaf pine, pitch pine, southern yellow pine, Georgia pine, Pinus palustris\nponderosa, ponderosa pine, western yellow pine, bull pine, Pinus ponderosa\nsilver fir\nFraser fir, Abies fraseri\nAlpine fir, subalpine fir, Abies lasiocarpa\namabilis fir, white fir, Pacific silver fir, red silver fir, Christmas tree, Abies amabilis\nlowland fir, lowland white fir, giant fir, grand fir, Abies grandis\nbalsam fir, balm of Gilead, Canada balsam, Abies balsamea\nEuropean silver fir, Christmas tree, Abies alba\nwhite fir, Colorado fir, California white fir, Abies concolor, Abies lowiana\nwestern larch, western tamarack, Oregon larch, Larix occidentalis\nAmerican larch, tamarack, black larch, Larix laricina\neastern hemlock, Canadian hemlock, spruce pine, Tsuga canadensis\nwestern hemlock, Pacific hemlock, west coast hemlock, Tsuga heterophylla\nmountain hemlock, black hemlock, Tsuga mertensiana\ngumbo-limbo, Bursera simaruba\nelephant tree, Bursera microphylla\nsweet gum, sweet gum tree, bilsted, red gum, American sweet gum, Liquidambar styraciflua\neucalyptus, eucalypt, eucalyptus tree\nsour gum, black gum, pepperidge, Nyssa sylvatica\nliquidambar\nsnow gum, ghost gum, white ash, Eucalyptus coriacea, Eucalyptus pauciflora\nmountain ash, Eucalyptus regnans\nblack mallee, black sally, black gum, Eucalytus stellulata\nalpine ash, mountain oak, Eucalyptus delegatensis\nred gum, peppermint, peppermint gum, Eucalyptus amygdalina\nred gum, marri, Eucalyptus calophylla\nblue gum, fever tree, Eucalyptus globulus\nosier\nSalix discolor\nbay willow, laurel willow, Salix pentandra\nweeping willow, Babylonian weeping willow, Salix babylonica\nswamp willow, black willow, Salix nigra\npurple willow, red willow, red osier, basket willow, purple osier, Salix purpurea\ncommon osier, hemp willow, velvet osier, Salix viminalis\nEuropean turkey oak, turkey oak, Quercus cerris\nred oak\ncork oak, Quercus suber\nblack oak, yellow oak, quercitron, quercitron oak, Quercus velutina\nlive oak\nchestnut oak\nbluejack oak, turkey oak, Quercus incana\npin oak, swamp oak, Quercus palustris\npost oak, box white oak, brash oak, iron oak, Quercus stellata\nshingle oak, laurel oak, Quercus imbricaria\nwhite oak\nlaurel oak, pin oak, Quercus laurifolia\nnorthern red oak, Quercus rubra, Quercus borealis\nsouthern red oak, swamp red oak, turkey oak, Quercus falcata\nsouthern live oak, Quercus virginiana\ncanyon oak, canyon live oak, maul oak, iron oak, Quercus chrysolepis\ncoast live oak, California live oak, Quercus agrifolia\nchinquapin oak, chinkapin oak, yellow chestnut oak, Quercus muehlenbergii\nbasket oak, cow oak, Quercus prinus, Quercus montana\nswamp chestnut oak, Quercus michauxii\nbur oak, burr oak, mossy-cup oak, mossycup oak, Quercus macrocarpa\nOregon white oak, Oregon oak, Garry oak, Quercus garryana\ncommon oak, English oak, pedunculate oak, Quercus robur\ntamarind, tamarind tree, tamarindo, Tamarindus indica\ncatalpa, Indian bean\ncarob, carob tree, carob bean tree, algarroba, Ceratonia siliqua\nCalifornia sycamore, Platanus racemosa\nAmerican sycamore, American plane, buttonwood, Platanus occidentalis\nLondon plane, Platanus acerifolia\nlightwood, Acacia melanoxylon\nblack mangrove, Avicennia marina\nwild raspberry, European raspberry, framboise, Rubus idaeus\nblack raspberry, blackcap, blackcap raspberry, thimbleberry, Rubus occidentalis\nbluebonnet, buffalo clover, Texas bluebonnet, Lupinus subcarnosus\nTexas bluebonnet, Lupinus texensis\nthistle\ncat's-ear, California dandelion, capeweed, gosmore, Hypochaeris radicata\ncorn cockle, corn campion, crown-of-the-field, Agrostemma githago\nyellow rocket, rockcress, rocket cress, Barbarea vulgaris, Sisymbrium barbarea\nfireweed, Erechtites hieracifolia\nstinging nettle, Urtica dioica\nhorseweed, Canadian fleabane, fleabane, Conyza canadensis, Erigeron canadensis\nstemless carline thistle, Carlina acaulis\nmusk thistle, nodding thistle, Carduus nutans\ncotton thistle, woolly thistle, Scotch thistle, Onopordum acanthium, Onopordon acanthium\nplume thistle, plumed thistle\nfield thistle, Cirsium discolor\nbull thistle, boar thistle, spear thistle, Cirsium vulgare, Cirsium lanceolatum\nCanada thistle, creeping thistle, Cirsium arvense\nhippeastrum, Hippeastrum puniceum\nnarcissus\niridaceous plant\nfritillary, checkered lily\nliliaceous plant\nstar-of-Bethlehem\ndaffodil, Narcissus pseudonarcissus\njonquil\njonquil, Narcissus jonquilla\niris, flag, fleur-de-lis, sword lily\nblue-eyed grass\nblackberry-lily, leopard lily, Belamcanda chinensis\ndwarf iris, Iris cristata\ndwarf iris, vernal iris, Iris verna\nbeardless iris\nbearded iris\nJapanese iris, Iris kaempferi\nGerman iris, Iris germanica\nsnake's head fritillary, guinea-hen flower, checkered daffodil, leper lily, Fritillaria meleagris\ncrown imperial, Fritillaria imperialis\ndogtooth violet, dogtooth, dog's-tooth violet\nlily\nAfrican lily, African tulip, blue African lily, Agapanthus africanus\ngrape hyacinth\ncommon camas, Camassia quamash\nfalse lily of the valley, Maianthemum bifolium\ncommon hyacinth, Hyacinthus orientalis\ncamas, camass, quamash, camosh, camash\nclintonia, Clinton's lily\nlemon lily, Hemerocallis lilio-asphodelus, Hemerocallis flava\nsquaw grass, bear grass, Xerophyllum tenax\nscilla, squill\ntulip\nalliaceous plant\nfawn lily, Erythronium californicum\nglacier lily, snow lily, Erythronium grandiflorum\nyellow adder's tongue, trout lily, amberbell, Erythronium americanum\nTurk's-cap, martagon, Lilium martagon\nTurk's-cap, Turk's cap-lily, Lilium superbum\ntiger lily, devil lily, kentan, Lilium lancifolium\ntiger lily, leopard lily, pine lily, Lilium catesbaei\nmountain lily, Lilium auratum\nEaster lily, Bermuda lily, white trumpet lily, Lilium longiflorum\ntassel hyacinth, Muscari comosum\ncommon grape hyacinth, Muscari neglectum\nTulipa gesneriana\nDarwin tulip\ngarlic chive, Chinese chive, Oriental garlic, Allium tuberosum\nwild garlic, wood garlic, Ramsons, Allium ursinum\nHottentot fig, Hottentot's fig, sour fig, Carpobrotus edulis, Mesembryanthemum edule\nlivingstone daisy, Dorotheanthus bellidiformis\ncactus\nnopal, Opuntia lindheimeri\nnopal\nbarrel cactus\nnight-blooming cereus\nnight-blooming cereus\nnight-blooming cereus\ncholla, Opuntia cholla\nechinocactus, barrel cactus\nmammillaria\nfeather ball, Mammillaria plumosa\nprickly pear, prickly pear cactus\ncrab cactus, Thanksgiving cactus, Zygocactus truncatus, Schlumbergera truncatus\nsaguaro, sahuaro, Carnegiea gigantea\nChristmas cactus, Schlumbergera buckleyi, Schlumbergera baridgesii\nhedgehog cactus\ngolden barrel cactus, Echinocactus grusonii\nflamingo flower, flamingo plant, Anthurium andraeanum, Anthurium scherzerianum\nanthurium, tailflower, tail-flower\ngloxinia\nbaneberry, cohosh, herb Christopher\nred baneberry, redberry, red-berry, snakeberry, Actaea rubra\npoison ivy, markweed, poison mercury, poison oak, Toxicodendron radicans, Rhus radicans\ngloriosa, glory lily, climbing lily, creeping lily, Gloriosa superba\nmonkshood, helmetflower, helmet flower, Aconitum napellus\nAmerican holly, Christmas holly\noleander, rose bay, Nerium oleander\npoison ash, poison dogwood, poison sumac, Toxicodendron vernix, Rhus vernix\nherbivore\nbig game\nthoroughbred, purebred, pureblood\ncreepy-crawly\nyoung, offspring\ndomestic animal, domesticated animal\npet\ncritter\nlarva\nfeeder\nmale\npest\nomnivore\npredator, predatory animal\nchordate\nwork animal\ninvertebrate\nfemale\nmarine animal, marine creature, sea animal, sea creature\nscavenger\nhexapod\nmate\nprey, quarry\ncarnivore\nyoung mammal\norphan\nspat\nyoung bird\nhatchling\nfoal\nkitten, kitty\ncalf\npup, whelp\ncalf\nlamb\nbaby\npuppy\nsuckling\ncub, young carnivore\npiglet, piggy, shoat, shote\nnestling, baby bird\nfledgling, fledgeling\nhead\nstray\nfeeder\ntadpole, polliwog, pollywog\ncaterpillar\nnymph\ndoodlebug, ant lion, antlion\ntobacco hornworm, tomato worm, Manduca sexta\ncabbageworm, Pieris rapae\ntomato hornworm, potato worm, Manduca quinquemaculata\nsilkworm, giant silkworm, wild wilkworm\ncutworm\nwoolly bear, woolly bear caterpillar\nmeasuring worm, inchworm, looper\narmyworm, army worm, Pseudaletia unipuncta\nsilkworm\ntussock caterpillar\ntent caterpillar\ncolt\nridgeling, ridgling, ridgel, ridgil\nsire\nsea squirt\nascidian\nvertebrate, craniate\naquatic vertebrate\namphibian\nmammal, mammalian\nbaby\nfetus, foetus\nquadruped\nreptile, reptilian\nbird\nfish\nlamprey, lamprey eel, lamper eel\nteleost fish, teleost, teleostan\nfood fish\nelasmobranch, selachian\nganoid, ganoid fish\ntrumpetfish, Aulostomus maculatus\npipefish, needlefish\nseahorse, sea horse\nspiny-finned fish, acanthopterygian\nsoft-finned fish, malacopterygian\nneedlefish, gar, billfish\nbeluga, hausen, white sturgeon, Acipenser huso\ngar, garfish, garpike, billfish, Lepisosteus osseus\nbowfin, grindle, dogfish, Amia calva\npaddlefish, duckbill, Polyodon spathula\nsturgeon\npercoid fish, percoid, percoidean\ndragonet\nfrogfish\nbarracuda\nsoldierfish, soldier-fish\ngoosefish, angler, anglerfish, angler fish, monkfish, lotte, allmouth, Lophius Americanus\nscorpaenoid, scorpaenoid fish\nflatfish\ngreat barracuda, Sphyraena barracuda\nplectognath, plectognath fish\nsnook\nperch\nperch\ndolphinfish, dolphin, mahimahi\nfreshwater bass\nscombroid, scombroid fish\nbass\nparrotfish, polly fish, pollyfish\nsea bream, bream\ngrunt\nflathead\nbluefish, Pomatomus saltatrix\ncarangid fish, carangid\ndamselfish, demoiselle\nbutterfly fish\nmudskipper, mudspringer\npike\ngoby, gudgeon\ntautog, blackfish, Tautoga onitis\nsunfish, centrarchid\nsnapper\nsnapper, Chrysophrys auratus\nsciaenid fish, sciaenid\nwolffish, wolf fish, catfish\ncichlid, cichlid fish\nwrasse\nyellow perch, Perca flavescens\nEuropean perch, Perca fluviatilis\nwalleye, walleyed pike, jack salmon, dory, Stizostedion vitreum\nmackerel\nskipjack, Atlantic bonito, Sarda sarda\nblack marlin, Makaira mazara, Makaira marlina\nsailfish\nmarlin\nbonito, oceanic bonito, Katsuwonus pelamis\ntuna, tunny\nwahoo, Acanthocybium solandri\nSpanish mackerel\nSpanish mackerel, Scomber colias\ncero, pintado, kingfish, Scomberomorus regalis\nking mackerel, cavalla, cero, Scomberomorus cavalla\nbluefin, bluefin tuna, horse mackerel, Thunnus thynnus\nyellowfin, yellowfin tuna, Thunnus albacares\njack\npermit, Trachinotus falcatus\nscad\ncrevalle jack, jack crevalle, Caranx hippos\nkingfish, Seriola grandis\namberjack, amberfish\nyellowtail, Seriola dorsalis\nhorse mackerel, jack mackerel, Spanish mackerel, saurel, Trachurus symmetricus\nhorse mackerel, saurel, Trachurus trachurus\nclown anemone fish, Amphiprion percula\nsergeant major, Abudefduf saxatilis\nanemone fish\nchaetodon\nrock beauty, Holocanthus tricolor\nangelfish\nnorthern pike, Esox lucius\npickerel\nmuskellunge, Esox masquinongy\nblack bass\npumpkinseed, Lepomis gibbosus\nfreshwater bream, bream\nbluegill, Lepomis macrochirus\ncrappie\nsmallmouth, smallmouth bass, smallmouthed bass, smallmouth black bass, smallmouthed black bass, Micropterus dolomieu\nlargemouth, largemouth bass, largemouthed bass, largemouth black bass, largemouthed black bass, Micropterus salmoides\nsea trout\ncroaker\nkingfish\nmulloway, jewfish, Sciaena antarctica\nred drum, channel bass, redfish, Sciaenops ocellatus\nwhite croaker, chenfish, kingfish, Genyonemus lineatus\nwhite croaker, queenfish, Seriphus politus\nscorpaenid, scorpaenid fish\nflathead\nscorpionfish, scorpion fish, sea scorpion\nlionfish\nstonefish, Synanceja verrucosa\nrockfish\nplaice, Pleuronectes platessa\nflounder\nhalibut, holibut\ncowfish, Lactophrys quadricornis\nboxfish, trunkfish\nocean sunfish, sunfish, mola, headfish\npuffer, pufferfish, blowfish, globefish\nspiny puffer\ntriggerfish\nballoonfish, Diodon holocanthus\nporcupinefish, porcupine fish, Diodon hystrix\ntarpon, Tarpon atlanticus\nbonefish, Albula vulpes\npollack, pollock, Pollachius pollachius\nanchovy\nlizardfish, snakefish, snake-fish\ncatfish, siluriform fish\ncypriniform fish\neel\nclupeid fish, clupeid\nEuropean catfish, sheatfish, Silurus glanis\nflathead catfish, mudcat, goujon, shovelnose catfish, spoonbill catfish, Pylodictus olivaris\nchannel catfish, channel cat, Ictalurus punctatus\nblue catfish, blue cat, blue channel catfish, blue channel cat\ncharacin, characin fish, characid\nelectric eel, Electrophorus electric\ncyprinodont\nloach\ncyprinid, cyprinid fish\ntopminnow, poeciliid fish, poeciliid, live-bearer\npiranha, pirana, caribe\ncardinal tetra, Paracheirodon axelrodi\ntetra\nkillifish\nstriped killifish, mayfish, may fish, Fundulus majalis\nguppy, rainbow fish, Lebistes reticulatus\nswordtail, helleri, topminnow, Xyphophorus helleri\ncarp\nminnow, Phoxinus phoxinus\ntench, Tinca tinca\ncrucian carp, Carassius carassius, Carassius vulgaris\ngoldfish, Carassius auratus\ngudgeon, Gobio gobio\nplaty, Platypoecilus maculatus\nmosquitofish, Gambusia affinis\nconger, conger eel\ntuna, Anguilla sucklandii\nmoray, moray eel\nsardine\npilchard, sardine, Sardina pilchardus\nsea bass\ntrout\nsalmon\nbarracouta, snoek\ngrouper\nstriped bass, striper, Roccus saxatilis, rockfish\njewfish, Mycteroperca bonaci\nhind\nsea trout\nbrook trout, speckled trout, Salvelinus fontinalis\nrainbow trout, Salmo gairdneri\nbrown trout, salmon trout, Salmo trutta\nlake trout, salmon trout, Salvelinus namaycush\nchinook, chinook salmon, king salmon, quinnat salmon, Oncorhynchus tshawytscha\nAtlantic salmon, Salmo salar\nredfish\ncoho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch\nlandlocked salmon, lake salmon\nshark\nray\nsand tiger, sand shark, Carcharias taurus, Odontaspis taurus\nangel shark, angelfish, Squatina squatina, monkfish\nnurse shark, Ginglymostoma cirratum\nrequiem shark\nsmooth dogfish\nhammerhead, hammerhead shark\nmackerel shark\nwhale shark, Rhincodon typus\nbull shark, cub shark, Carcharhinus leucas\nblue shark, great blue shark, Prionace glauca\nsandbar shark, Carcharhinus plumbeus\nblacktip shark, sandbar shark, Carcharhinus limbatus\nwhitetip shark, oceanic whitetip shark, white-tipped shark, Carcharinus longimanus\ntiger shark, Galeocerdo cuvieri\nlemon shark, Negaprion brevirostris\nwhitetip shark, reef whitetip shark, Triaenodon obseus\nsmoothhound, smoothhound shark, Mustelus mustelus\ngreat white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias\nmako, mako shark\nporbeagle, Lamna nasus\nstingray\nelectric ray, crampfish, numbfish, torpedo\nspotted eagle ray, spotted ray, Aetobatus narinari\nAtlantic manta, Manta birostris\nmanta, manta ray, devilfish\nskate\neagle ray\nsalamander\nfrog, toad, toad frog, anuran, batrachian, salientian\nspotted salamander, fire salamander, Salamandra maculosa\nnewt, triton\nEuropean fire salamander, Salamandra salamandra\nslender salamander, worm salamander\nambystomid, ambystomid salamander\neft\ncommon newt, Triturus vulgaris\nred eft, Notophthalmus viridescens\nspotted salamander, Ambystoma maculatum\naxolotl, mud puppy, Ambystoma mexicanum\ntiger salamander, Ambystoma tigrinum\ntrue toad\ntrue frog, ranid\ntailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui\ncrapaud, South American bullfrog, Leptodactylus pentadactylus\ntree toad, tree frog, tree-frog\ntree frog, tree-frog\nnatterjack, Bufo calamita\nEurasian green toad, Bufo viridis\nbufo\nAmerican toad, Bufo americanus\nagua, agua toad, Bufo marinus\nwestern toad, Bufo boreas\nEuropean toad, Bufo bufo\ngrass frog, Rana temporaria\nwood-frog, wood frog, Rana sylvatica\nbullfrog, Rana catesbeiana\nleopard frog, spring frog, Rana pipiens\npickerel frog, Rana palustris\ngreen frog, spring frog, Rana clamitans\nspring peeper, Hyla crucifer\nchorus frog\nplacental, placental mammal, eutherian, eutherian mammal\ntusker\nmonotreme, egg-laying mammal\nmarsupial, pouched mammal\nfemale mammal\naardvark, ant bear, anteater, Orycteropus afer\nlivestock, stock, farm animal\ninsectivore\nhyrax, coney, cony, dassie, das\ndoe\nedentate\nstag\nbull\nprimate\ncarnivore\nbat, chiropteran\naquatic mammal\nlagomorph, gnawing mammal\nrock hyrax, rock rabbit, Procavia capensis\nyearling\nrodent, gnawer\ncow\npachyderm\nbuck\npangolin, scaly anteater, anteater\nungulate, hoofed mammal\nshrew, shrewmouse\nhedgehog, Erinaceus europaeus, Erinaceus europeaeus\npeba, nine-banded armadillo, Texas armadillo, Dasypus novemcinctus\nsloth, tree sloth\narmadillo\nanteater, New World anteater\ntwo-toed sloth, unau, unai, Choloepus hoffmanni\ntwo-toed sloth, unau, unai, Choloepus didactylus\nthree-toed sloth, ai, Bradypus tridactylus\nant bear, giant anteater, great anteater, tamanoir, Myrmecophaga jubata\ntamandua, tamandu, lesser anteater, Tamandua tetradactyla\nsimian\ntarsier\nhomo, man, human being, human\nape\nlemur\nmonkey\nHomo sapiens sapiens, modern man\nHomo sapiens\nNeandertal man, Neanderthal man, Neandertal, Neanderthal, Homo sapiens neanderthalensis\nanthropoid ape\nlesser ape\ngreat ape, pongid\nsiamang, Hylobates syndactylus, Symphalangus syndactylus\ngibbon, Hylobates lar\nchimpanzee, chimp, Pan troglodytes\norangutan, orang, orangutang, Pongo pygmaeus\ngorilla, Gorilla gorilla\npygmy chimpanzee, bonobo, Pan paniscus\ncentral chimpanzee, Pan troglodytes troglodytes\nwestern lowland gorilla, Gorilla gorilla gorilla\nmountain gorilla, Gorilla gorilla beringei\nsilverback\nindri, indris, Indri indri, Indri brevicaudatus\nMadagascar cat, ring-tailed lemur, Lemur catta\npotto, kinkajou, Perodicticus potto\ngalago, bushbaby, bush baby\nslow loris, Nycticebus tardigradua, Nycticebus pygmaeus\nOld World monkey, catarrhine\nNew World monkey, platyrrhine, platyrrhinian\nbaboon\nvervet, vervet monkey, Cercopithecus aethiops pygerythrus\nproboscis monkey, Nasalis larvatus\ncolobus, colobus monkey\npatas, hussar monkey, Erythrocebus patas\nmacaque\nguenon, guenon monkey\nlangur\nchacma, chacma baboon, Papio ursinus\nmandrill, Mandrillus sphinx\nBarbary ape, Macaca sylvana\nrhesus, rhesus monkey, Macaca mulatta\nspider monkey, Ateles geoffroyi\nmarmoset\nsquirrel monkey, Saimiri sciureus\ntiti, titi monkey\ncapuchin, ringtail, Cebus capucinus\nhowler monkey, howler\ntamarin, lion monkey, lion marmoset, leoncita\npygmy marmoset, Cebuella pygmaea\nprocyonid\nfeline, felid\nviverrine, viverrine mammal\ncanine, canid\nmusteline mammal, mustelid, musteline\nbear\ncoati, coati-mondi, coati-mundi, coon cat, Nasua narica\ncommon raccoon, common racoon, coon, ringtail, Procyon lotor\nlesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens\nraccoon, racoon\nkinkajou, honey bear, potto, Potos flavus, Potos caudivolvulus\ngiant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca\nbig cat, cat\ncat, true cat\njaguar, panther, Panthera onca, Felis onca\ntiger, Panthera tigris\nleopard, Panthera pardus\ncheetah, chetah, Acinonyx jubatus\nlion, king of beasts, Panthera leo\nsnow leopard, ounce, Panthera uncia\ntigress\nBengal tiger\ntiger cub\nlioness\nlion cub\ndomestic cat, house cat, Felis domesticus, Felis catus\nwildcat\ntabby, queen\ntiger cat\ntabby, tabby cat\ntortoiseshell, tortoiseshell-cat, calico cat\nManx, Manx cat\nEgyptian cat\nAbyssinian, Abyssinian cat\nkitty, kitty-cat, puss, pussycat\nAngora, Angora cat\nPersian cat\nBurmese cat\nSiamese cat, Siamese\nalley cat\ntom, tomcat\nmouser\nmargay, margay cat, Felis wiedi\nocelot, panther cat, Felis pardalis\nlynx, catamount\ncougar, puma, catamount, mountain lion, painter, panther, Felis concolor\nEuropean wildcat, catamountain, Felis silvestris\nserval, Felis serval\nmanul, Pallas's cat, Felis manul\nsand cat\ncommon lynx, Lynx lynx\nbobcat, bay lynx, Lynx rufus\ncaracal, desert lynx, Lynx caracal\nCanada lynx, Lynx canadensis\nmeerkat, mierkat\ngenet, Genetta genetta\nmongoose\nslender-tailed meerkat, Suricata suricatta\nsuricate, Suricata tetradactyla\ndog, domestic dog, Canis familiaris\nwild dog\nwolf\njackal, Canis aureus\nfox\nhyena, hyaena\npug, pug-dog\ncorgi, Welsh corgi\nGreat Pyrenees\nBrabancon griffon\npoodle, poodle dog\ncur, mongrel, mutt\nLeonberg\ngriffon, Brussels griffon, Belgian griffon\ndalmatian, coach dog, carriage dog\npooch, doggie, doggy, barker, bow-wow\nspitz\ntoy dog, toy\nhunting dog\nworking dog\nbasenji\nMexican hairless\nNewfoundland, Newfoundland dog\nlapdog\nCardigan, Cardigan Welsh corgi\nPembroke, Pembroke Welsh corgi\nstandard poodle\ntoy poodle\nminiature poodle\nPomeranian\nkeeshond\nchow, chow chow\nSamoyed, Samoyede\ntoy spaniel\nShih-Tzu\ntoy terrier\nMaltese dog, Maltese terrier, Maltese\nJapanese spaniel\nChihuahua\nPekinese, Pekingese, Peke\nKing Charles spaniel\nBlenheim spaniel\npapillon\nterrier\nRhodesian ridgeback\nsausage dog, sausage hound\nsporting dog, gun dog\nhound, hound dog\ndachshund, dachsie, badger dog\nDandie Dinmont, Dandie Dinmont terrier\nschnauzer\nwirehair, wirehaired terrier, wire-haired terrier\nAiredale, Airedale terrier\nWest Highland white terrier\nKerry blue terrier\nNorfolk terrier\nBorder terrier\nYorkshire terrier\nwire-haired fox terrier\nBedlington terrier\nTibetan terrier, chrysanthemum dog\nsilky terrier, Sydney silky\nLhasa, Lhasa apso\nScotch terrier, Scottish terrier, Scottie\ncairn, cairn terrier\nBoston bull, Boston terrier\nfox terrier\nAustralian terrier\nbullterrier, bull terrier\nNorwich terrier\nIrish terrier\nrat terrier, ratter\nsoft-coated wheaten terrier\nstandard schnauzer\ngiant schnauzer\nminiature schnauzer\nLakeland terrier\nWelsh terrier\nSealyham terrier, Sealyham\nStaffordshire bullterrier, Staffordshire bull terrier\nAmerican Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier\nManchester terrier, black-and-tan terrier\ntoy Manchester, toy Manchester terrier\nwater dog\npointer, Spanish pointer\nbird dog\nsetter\nspaniel\nretriever\nvizsla, Hungarian pointer\nGerman short-haired pointer\nGordon setter\nEnglish setter\nIrish setter, red setter\ncocker spaniel, English cocker spaniel, cocker\nwater spaniel\nspringer spaniel, springer\nBrittany spaniel\nclumber, clumber spaniel\nSussex spaniel\nIrish water spaniel\nEnglish springer, English springer spaniel\nWelsh springer spaniel\nflat-coated retriever\ngolden retriever\ncurly-coated retriever\nChesapeake Bay retriever\nLabrador retriever\notterhound, otter hound\nbloodhound, sleuthhound\nwolfhound\nbasset, basset hound\nIbizan hound, Ibizan Podenco\nNorwegian elkhound, elkhound\ncoonhound\nSaluki, gazelle hound\nAfghan hound, Afghan\nblack-and-tan coonhound\nbluetick\nScottish deerhound, deerhound\nredbone\nfoxhound\nbeagle\nWeimaraner\ngreyhound\nborzoi, Russian wolfhound\nIrish wolfhound\nEnglish foxhound\nWalker hound, Walker foxhound\nwhippet\nItalian greyhound\nGreat Dane\nwatchdog, guard dog\nEskimo dog, husky\nTibetan mastiff\nsled dog, sledge dog\nSaint Bernard, St Bernard\nFrench bulldog\npolice dog\nbulldog, English bulldog\nSennenhunde\nbull mastiff\nshepherd dog, sheepdog, sheep dog\nboxer\nmastiff\nkuvasz\nhousedog\npinscher\nschipperke\nDoberman, Doberman pinscher\nminiature pinscher\naffenpinscher, monkey pinscher, monkey dog\nSiberian husky\nmalamute, malemute, Alaskan malamute\nGreater Swiss Mountain dog\nEntleBucher\nBernese mountain dog\nAppenzeller\nBelgian sheepdog, Belgian shepherd\nkelpie\nShetland sheepdog, Shetland sheep dog, Shetland\nkomondor\nBorder collie\ncollie\nRottweiler\nOld English sheepdog, bobtail\nGerman shepherd, German shepherd dog, German police dog, alsatian\nbriard\nBouvier des Flandres, Bouviers des Flandres\ngroenendael\nmalinois\nAfrican hunting dog, hyena dog, Cape hunting dog, Lycaon pictus\ndingo, warrigal, warragal, Canis dingo\ndhole, Cuon alpinus\ncoyote, prairie wolf, brush wolf, Canis latrans\nwolf pup, wolf cub\nred wolf, maned wolf, Canis rufus, Canis niger\nwhite wolf, Arctic wolf, Canis lupus tundrarum\ntimber wolf, grey wolf, gray wolf, Canis lupus\nred fox, Vulpes vulpes\nred fox, Vulpes fulva\nkit fox, Vulpes macrotis\nArctic fox, white fox, Alopex lagopus\ngrey fox, gray fox, Urocyon cinereoargenteus\nkit fox, prairie fox, Vulpes velox\nspotted hyena, laughing hyena, Crocuta crocuta\nstriped hyena, Hyaena hyaena\nmink\nblack-footed ferret, ferret, Mustela nigripes\nstriped skunk, Mephitis mephitis\npine marten, Martes martes\nsea otter, Enhydra lutris\notter\nweasel\npolecat, fitch, foulmart, foumart, Mustela putorius\nglutton, Gulo gulo, wolverine\nskunk, polecat\nbadger\nferret\nriver otter, Lutra canadensis\nEurasian otter, Lutra lutra\nice bear, polar bear, Ursus Maritimus, Thalarctos maritimus\nAmerican black bear, black bear, Ursus americanus, Euarctos americanus\nbear cub\nAsiatic black bear, black bear, Ursus thibetanus, Selenarctos thibetanus\nbrown bear, bruin, Ursus arctos\nsloth bear, Melursus ursinus, Ursus ursinus\ngrizzly, grizzly bear, silvertip, silver-tip, Ursus horribilis, Ursus arctos horribilis\nAlaskan brown bear, Kodiak bear, Kodiak, Ursus middendorffi, Ursus arctos middendorffi\ncarnivorous bat, microbat\nflying fox\nfruit bat, megabat\nbrown bat\nvespertilian bat, vespertilionid\npallid bat, cave bat, Antrozous pallidus\npipistrelle, pipistrel, Pipistrellus pipistrellus\ncetacean, cetacean mammal, blower\nsea cow, sirenian mammal, sirenian\npinniped mammal, pinniped, pinnatiped\nwhale\ntoothed whale\nbaleen whale, whalebone whale\ndolphin\nbottle-nosed whale, bottlenose whale, bottlenose, Hyperoodon ampullatus\nporpoise\ncommon dolphin, Delphinus delphis\nbottlenose dolphin, bottle-nosed dolphin, bottlenose\npilot whale, black whale, common blackfish, blackfish, Globicephala melaena\nkiller whale, killer, orca, grampus, sea wolf, Orcinus orca\nwhite whale, beluga, Delphinapterus leucas\nPacific bottlenose dolphin, Tursiops gilli\nAtlantic bottlenose dolphin, Tursiops truncatus\ngrey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus\nrorqual, razorback\nblue whale, sulfur bottom, Balaenoptera musculus\nlesser rorqual, piked whale, minke whale, Balaenoptera acutorostrata\nfinback, finback whale, fin whale, common rorqual, Balaenoptera physalus\nmanatee, Trichechus manatus\ndugong, Dugong dugon\nwalrus, seahorse, sea horse\nseal\nearless seal, true seal, hair seal\neared seal\nelephant seal, sea elephant\nharbor seal, common seal, Phoca vitulina\nharp seal, Pagophilus groenlandicus\nfur seal\nfur seal\nsea lion\nCalifornia sea lion, Zalophus californianus, Zalophus californicus\nAustralian sea lion, Zalophus lobatus\nSteller sea lion, Steller's sea lion, Eumetopias jubatus\npika, mouse hare, rock rabbit, coney, cony\nleporid, leporid mammal\nrabbit, coney, cony\nhare\neastern cottontail, Sylvilagus floridanus\nwood rabbit, cottontail, cottontail rabbit\nbunny, bunny rabbit\nEuropean rabbit, Old World rabbit, Oryctolagus cuniculus\nlapin\nAngora, Angora rabbit\nrabbit ears\nsnowshoe hare, snowshoe rabbit, varying hare, Lepus americanus\nEuropean hare, Lepus europaeus\njackrabbit\nchinchilla, Chinchilla laniger\nrat\ncapybara, capibara, Hydrochoerus hydrochaeris\ngolden hamster, Syrian hamster, Mesocricetus auratus\nwater vole, water rat, Arvicola amphibius\nporcupine, hedgehog\ncoypu, nutria, Myocastor coypus\nvole, field mouse\nbeaver\nhamster\nprairie dog, prairie marmot\nsquirrel\nmarmot\nblacktail prairie dog, Cynomys ludovicianus\ncavy\ngerbil, gerbille\nmouse\nmuskrat, musquash, Ondatra zibethica\ngopher, pocket gopher, pouched rat\nbrown rat, Norway rat, Rattus norvegicus\nblack rat, roof rat, Rattus rattus\nchipmunk\nground squirrel, gopher, spermophile\neastern chipmunk, hackee, striped squirrel, ground squirrel, Tamias striatus\ntree squirrel\nrock squirrel, Citellus variegatus\nmantled ground squirrel, Citellus lateralis\neastern grey squirrel, eastern gray squirrel, cat squirrel, Sciurus carolinensis\nred squirrel, cat squirrel, Sciurus vulgaris\nblack squirrel\nAmerican red squirrel, spruce squirrel, red squirrel, Sciurus hudsonicus, Tamiasciurus hudsonicus\nfox squirrel, eastern fox squirrel, Sciurus niger\nhoary marmot, whistler, whistling marmot, Marmota caligata\ngroundhog, woodchuck, Marmota monax\naperea, wild cavy, Cavia porcellus\nguinea pig, Cavia cobaya\nfield mouse, fieldmouse\nhouse mouse, Mus musculus\nelephant\nAfrican elephant, Loxodonta africana\nIndian elephant, Elephas maximus\neven-toed ungulate, artiodactyl, artiodactyl mammal\nodd-toed ungulate, perissodactyl, perissodactyl mammal\nruminant\ncamel\nswine\nllama\nvicuna, Vicugna vicugna\ncollared peccary, javelina, Tayassu angulatus, Tayassu tajacu, Peccari angulatus\nhippopotamus, hippo, river horse, Hippopotamus amphibius\npeccary, musk hog\npronghorn, prongbuck, pronghorn antelope, American antelope, Antilocapra americana\ndeer, cervid\nbovid\ngiraffe, camelopard, Giraffa camelopardalis\nokapi, Okapia johnstoni\nwoodland caribou, Rangifer caribou\ncaribou, reindeer, Greenland caribou, Rangifer tarandus\nfallow deer, Dama dama\nelk, European elk, moose, Alces alces\nhart, stag\nmule deer, burro deer, Odocoileus hemionus\nfawn\nred deer, elk, American elk, wapiti, Cervus elaphus\nmuntjac, barking deer\nVirginia deer, white tail, whitetail, white-tailed deer, whitetail deer, Odocoileus Virginianus\nwapiti, elk, American elk, Cervus elaphus canadensis\nJapanese deer, sika, Cervus nipon, Cervus sika\nroe deer, Capreolus capreolus\nblack-tailed deer, blacktail deer, blacktail, Odocoileus hemionus columbianus\nwild sheep\nbison\nmusk ox, musk sheep, Ovibos moschatus\nOld World buffalo, buffalo\nbovine\nantelope\nsheep\ngoat antelope\ngoat, caprine animal\naoudad, arui, audad, Barbary sheep, maned sheep, Ammotragus lervia\nmountain sheep\nDall sheep, Dall's sheep, white sheep, Ovis montana dalli\nbighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis\nmouflon, moufflon, Ovis musimon\nAmerican bison, American buffalo, buffalo, Bison bison\nwisent, aurochs, Bison bonasus\ncarabao\nwater buffalo, water ox, Asiatic buffalo, Bubalus bubalis\nCape buffalo, Synercus caffer\nBrahman, Brahma, Brahmin, Bos indicus\nox, wild ox\nzebu\ncattle, cows, kine, oxen, Bos taurus\nyak, Bos grunniens\ngaur, Bibos gaurus\nbeef, beef cattle\nox\nbull\nbullock, steer\nheifer\ncow, moo-cow\ndairy cattle, dairy cow, milch cow, milk cow, milcher, milker\nlonghorn, Texas longhorn\nCharolais\nHereford, whiteface\nDurham, shorthorn\nAberdeen Angus, Angus, black Angus\nGalloway\nFriesian, Holstein, Holstein-Friesian\nBrown Swiss\nkudu, koodoo, koudou\naddax, Addax nasomaculatus\nblackbuck, black buck, Antilope cervicapra\nwaterbuck\neland\nsteenbok, steinbok, Raphicerus campestris\ndik-dik\ngnu, wildebeest\nharnessed antelope\ngerenuk, Litocranius walleri\nsassaby, topi, Damaliscus lunatus\nimpala, Aepyceros melampus\ngreater kudu, Tragelaphus strepsiceros\nsable antelope, Hippotragus niger\nhartebeest\nbongo, Tragelaphus eurycerus, Boocercus eurycerus\ngemsbok, gemsbuck, Oryx gazella\noryx, pasang\ngazelle\nnyala, Tragelaphus angasi\nbushbuck, guib, Tragelaphus scriptus\nThomson's gazelle, Gazella thomsoni\nspringbok, springbuck, Antidorcas marsupialis, Antidorcas euchore\ndomestic sheep, Ovis aries\nblack sheep\newe\nwether\nram, tup\nmountain goat, Rocky Mountain goat, Oreamnos americanus\nchamois, Rupicapra rupicapra\ntakin, gnu goat, Budorcas taxicolor\nnanny, nanny-goat, she-goat\nkid\nibex, Capra ibex\nAngora, Angora goat\ndomestic goat, Capra hircus\nbilly, billy goat, he-goat\nwild goat\nBactrian camel, Camelus bactrianus\nArabian camel, dromedary, Camelus dromedarius\nwild boar, boar, Sus scrofa\nwarthog\nboar\nhog, pig, grunter, squealer, Sus scrofa\nguanaco, Lama guanicoe\nalpaca, Lama pacos\nrhinoceros, rhino\ntapir\nequine, equid\nMalayan tapir, Indian tapir, Tapirus indicus\nIndian rhinoceros, Rhinoceros unicornis\nblack rhinoceros, Diceros bicornis\nwhite rhinoceros, Ceratotherium simum, Diceros simus\nhorse, Equus caballus\nzebra\nbay\nbroodmare, stud mare\nracehorse, race horse, bangtail\npalomino\nwild horse\npinto\nhack, jade, nag, plug\nroan\nmale horse\npost horse, post-horse, poster\nliver chestnut\ntarpan, Equus caballus gomelini\nsaddle horse, riding horse, mount\nchestnut\nharness horse\npolo pony\nworkhorse\nmare, female horse\npony\npony\nsorrel\nyearling\nthoroughbred\ntrotting horse, trotter\nstud, studhorse\nstallion, entire\ngelding\nTennessee walker, Tennessee walking horse, Walking horse, Plantation walking horse\nhack\ncavalry horse\ngrey, gray\nMorgan\nbuckskin\ndun\nArabian, Arab\nquarter horse\ncob\nhackney\nplow horse, plough horse\nfarm horse, dobbin\ndraft horse, draught horse, dray horse\ncarthorse, cart horse, drayhorse\nPercheron\nClydesdale\nshire, shire horse\ncayuse, Indian pony\nbronco, bronc, broncho\nmustang\nWelsh pony\nShetland pony\nExmoor\ncommon zebra, Burchell's zebra, Equus Burchelli\nmountain zebra, Equus zebra zebra\ngrevy's zebra, Equus grevyi\njennet, jenny\nburro\ndonkey, Equus asinus\nechidna, spiny anteater, anteater\nplatypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus\nechidna, spiny anteater, anteater\nkangaroo\nkoala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus\nwombat\ncommon opossum, Didelphis virginiana, Didelphis marsupialis\nopossum, possum\ndasyurid marsupial, dasyurid\nphalanger, opossum, possum\ngiant kangaroo, great grey kangaroo, Macropus giganteus\nwallaby, brush kangaroo\nrock wallaby, rock kangaroo\ntree wallaby, tree kangaroo\nTasmanian devil, ursine dasyure, Sarcophilus hariisi\nnumbat, banded anteater, anteater, Myrmecobius fasciatus\nchelonian, chelonian reptile\ndiapsid, diapsid reptile\nturtle\nWestern box turtle, Terrapene ornata\nbox turtle, box tortoise\ncommon snapping turtle, snapper, Chelydra serpentina\nterrapin\nsoft-shelled turtle, pancake turtle\npainted turtle, painted terrapin, painted tortoise, Chrysemys picta\nsea turtle, marine turtle\nsnapping turtle\nslider, yellow-bellied terrapin, Pseudemys scripta\ntortoise\nmud turtle\ncooter, river cooter, Pseudemys concinna\nhawksbill turtle, hawksbill, hawkbill, tortoiseshell turtle, Eretmochelys imbricata\nloggerhead, loggerhead turtle, Caretta caretta\ngreen turtle, Chelonia mydas\nleatherback turtle, leatherback, leathery turtle, Dermochelys coriacea\nridley\nPacific ridley, olive ridley, Lepidochelys olivacea\nAtlantic ridley, Lepidochelys kempii\ngiant tortoise\ngopher tortoise, gopher turtle, gopher, Gopherus polypemus\nEuropean tortoise, Testudo graeca\ndesert tortoise, Gopherus agassizii\ncrocodilian reptile, crocodilian\nsnake, serpent, ophidian\ntuatara, Sphenodon punctatum\nlizard\ndinosaur\nalligator, gator\ncrocodile\nAmerican alligator, Alligator mississipiensis\ncaiman, cayman\nAsian crocodile, Crocodylus porosus\nAfrican crocodile, Nile crocodile, Crocodylus niloticus\nblind snake, worm snake\nviper\nsea snake\nelapid, elapid snake\nconstrictor\ncolubrid snake, colubrid\nhorned viper, cerastes, sand viper, horned asp, Cerastes cornutus\nasp, asp viper, Vipera aspis\nadder, common viper, Vipera berus\npuff adder, Bitis arietans\npit viper\nwater moccasin, cottonmouth, cottonmouth moccasin, Agkistrodon piscivorus\ncopperhead, Agkistrodon contortrix\nrattlesnake, rattler\nground rattler, massasauga, Sistrurus miliaris\nmassasauga, massasauga rattler, Sistrurus catenatus\ndiamondback, diamondback rattlesnake, Crotalus adamanteus\nMojave rattlesnake, Crotalus scutulatus\ntimber rattlesnake, banded rattlesnake, Crotalus horridus horridus\nprairie rattlesnake, prairie rattler, Western rattlesnake, Crotalus viridis\nWestern diamondback, Western diamondback rattlesnake, Crotalus atrox\nsidewinder, horned rattlesnake, Crotalus cerastes\nrock rattlesnake, Crotalus lepidus\nspeckled rattlesnake, Crotalus mitchellii\ncobra\ngreen mamba\ntaipan, Oxyuranus scutellatus\ncopperhead, Denisonia superba\nmamba\ncoral snake, Old World coral snake\ncoral snake, harlequin-snake, New World coral snake\nIndian cobra, Naja naja\nhamadryad, king cobra, Ophiophagus hannah, Naja hannah\nboa\npython\nrosy boa, Lichanura trivirgata\nboa constrictor, Constrictor constrictor\nanaconda, Eunectes murinus\nreticulated python, Python reticulatus\ncarpet snake, Python variegatus, Morelia spilotes variegatus\nrock python, rock snake, Python sebae\nblacksnake, black racer, Coluber constrictor\ngarter snake, grass snake\nbull snake, bull-snake\nhognose snake, puff adder, sand viper\nrat snake\nwhip-snake, whip snake, whipsnake\nwater snake\ngreen snake, grass snake\nracer\ngreen snake\nthunder snake, worm snake, Carphophis amoenus\nringneck snake, ring-necked snake, ring snake\nvine snake\nking snake, kingsnake\nnight snake, Hypsiglena torquata\nribbon snake, Thamnophis sauritus\ncommon garter snake, Thamnophis sirtalis\npine snake\ngopher snake, Pituophis melanoleucus\ncorn snake, red rat snake, Elaphe guttata\nblack rat snake, blacksnake, pilot blacksnake, mountain blacksnake, Elaphe obsoleta\ngrass snake, ring snake, ringed snake, Natrix natrix\ncommon water snake, banded water snake, Natrix sipedon, Nerodia sipedon\nwater moccasin\nsmooth green snake, Opheodrys vernalis\nrough green snake, Opheodrys aestivus\nmilk snake, house snake, milk adder, checkered adder, Lampropeltis triangulum\ncommon kingsnake, Lampropeltis getulus\nbanded gecko\nchameleon, chamaeleon\nmonitor, monitor lizard, varan\nskink, scincid, scincid lizard\nGila monster, Heloderma suspectum\nKomodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis\nwhiptail, whiptail lizard\niguanid, iguanid lizard\nagamid, agamid lizard\ngecko\nAfrican chameleon, Chamaeleo chamaeleon\nlacertid lizard, lacertid\nanguid lizard\nhorned lizard, horned toad, horny frog\ntree lizard, Urosaurus ornatus\nchuckwalla, Sauromalus obesus\nAmerican chameleon, anole, Anolis carolinensis\nbasilisk\nside-blotched lizard, sand lizard, Uta stansburiana\nspiny lizard\ncollared lizard\ncommon iguana, iguana, Iguana iguana\nmarine iguana, Amblyrhynchus cristatus\nleopard lizard\nwestern fence lizard, swift, blue-belly, Sceloporus occidentalis\nfence lizard\nagama\nmountain devil, spiny lizard, Moloch horridus\nfrilled lizard, Chlamydosaurus kingi\ngreen lizard, Lacerta viridis\nsand lizard, Lacerta agilis\nblindworm, slowworm, Anguis fragilis\nalligator lizard\nornithischian, ornithischian dinosaur\ntyrannosaur, tyrannosaurus, Tyrannosaurus rex\nstegosaur, stegosaurus, Stegosaur stenops\ntriceratops\nbird of passage\naquatic bird\npasserine, passeriform bird\nhummingbird\npiciform bird\ncoraciiform bird\nquetzal, quetzal bird\nbird of prey, raptor, raptorial bird\ncaprimulgiform bird\ncuculiform bird\ngamecock\nratite, ratite bird, flightless bird\ngallinaceous bird, gallinacean\ntrogon\nparrot\ncarinate, carinate bird, flying bird\ndickeybird, dickey-bird, dickybird, dicky-bird\nhen\nwading bird, wader\nswan\ngallinule, marsh hen, water hen, swamphen\nseabird, sea bird, seafowl\nwaterfowl, water bird, waterbird\nheron\ncrested cariama, seriema, Cariama cristata\ntrumpeter\nbustard\nibis\nstork\nwhooping crane, whooper, Grus americana\ncrane\nlimpkin, Aramus pictus\nchunga, seriema, Chunga burmeisteri\nflamingo\nrail\nspoonbill\nshoebill, shoebird, Balaeniceps rex\nshorebird, shore bird, limicoline bird\ngreat blue heron, Ardea herodius\nnight heron, night raven\nlittle blue heron, Egretta caerulea\nboatbill, boat-billed heron, broadbill, Cochlearius cochlearius\ngreat white heron, Ardea occidentalis\negret\nbittern\nblack-crowned night heron, Nycticorax nycticorax\nyellow-crowned night heron, Nyctanassa violacea\ngreat white heron, Casmerodius albus\nlittle egret, Egretta garzetta\nsnowy egret, snowy heron, Egretta thula\nAmerican egret, great white heron, Egretta albus\ncattle egret, Bubulcus ibis\nleast bittern, Ixobrychus exilis\nAmerican bittern, stake driver, Botaurus lentiginosus\nwood ibis, wood stork, Ibis ibis\nsacred ibis, Threskiornis aethiopica\nmarabou, marabout, marabou stork, Leptoptilus crumeniferus\nblack stork, Ciconia nigra\nwhite stork, Ciconia ciconia\nsaddlebill, jabiru, Ephippiorhynchus senegalensis\njabiru, Jabiru mycteria\npoliceman bird, black-necked stork, jabiru, Xenorhyncus asiaticus\nwood ibis, wood stork, flinthead, Mycteria americana\nnotornis, takahe, Notornis mantelli\nweka, maori hen, wood hen\nspotted crake, Porzana porzana\ncrake\ncoot\nOld World coot, Fulica atra\nAmerican coot, marsh hen, mud hen, water hen, Fulica americana\ncommon spoonbill, Platalea leucorodia\nroseate spoonbill, Ajaia ajaja\nplover\ngodwit\nHudsonian godwit, Limosa haemastica\nstilt, Australian stilt\nstone curlew, thick-knee, Burhinus oedicnemus\noystercatcher, oyster catcher\nstilt, stiltbird, longlegs, long-legs, stilt plover, Himantopus stilt\nAmerican woodcock, woodcock snipe, Philohela minor\nsnipe\nwoodcock\navocet\nsandpiper\nEuropean curlew, Numenius arquata\npratincole, glareole\ncurlew\nphalarope\ngolden plover\nruddy turnstone, Arenaria interpres\nkilldeer, kildeer, killdeer plover, Charadrius vociferus\nlapwing, green plover, peewit, pewit\nturnstone\npiping plover, Charadrius melodus\nblack-necked stilt, Himantopus mexicanus\nblack-winged stilt, Himantopus himantopus\nwhole snipe, Gallinago gallinago\nWilson's snipe, Gallinago gallinago delicata\ngreat snipe, woodcock snipe, Gallinago media\ndowitcher\ntattler\ngreenshank, Tringa nebularia\nwillet, Catoptrophorus semipalmatus\ncurlew sandpiper, Calidris Ferruginea\nsanderling, Crocethia alba\nredshank, Tringa totanus\nspotted sandpiper, Actitis macularia\nknot, greyback, grayback, Calidris canutus\nred-backed sandpiper, dunlin, Erolia alpina\nupland sandpiper, upland plover, Bartramian sandpiper, Bartramia longicauda\nleast sandpiper, stint, Erolia minutilla\npectoral sandpiper, jacksnipe, Calidris melanotos\nruff, Philomachus pugnax\nEuropean sandpiper, Actitis hypoleucos\nyellowlegs\ngreater yellowlegs, Tringa melanoleuca\nlesser yellowlegs, Tringa flavipes\nred phalarope, Phalaropus fulicarius\nWilson's phalarope, Steganopus tricolor\npen\ncygnet\ntrumpeter, trumpeter swan, Cygnus buccinator\ncoscoroba\nmute swan, Cygnus olor\ncob\nwhooper, whooper swan, Cygnus cygnus\nblack swan, Cygnus atratus\ntundra swan, Cygnus columbianus\nwhistling swan, Cygnus columbianus columbianus\nBewick's swan, Cygnus columbianus bewickii\npurple gallinule\nEuropean gallinule, Porphyrio porphyrio\nmoorhen, Gallinula chloropus\ncoastal diving bird\npelagic bird, oceanic bird\ngrebe\nauk\nloon, diver\npelecaniform seabird\nsphenisciform seabird\npuffin\nlarid\njaeger\nskimmer\nsea swallow, Sterna hirundo\ngull, seagull, sea gull\ntern\nivory gull, Pagophila eburnea\nmew, mew gull, sea mew, Larus canus\nlaughing gull, blackcap, pewit, pewit gull, Larus ridibundus\nblack-backed gull, great black-backed gull, cob, Larus marinus\nkittiwake\nherring gull, Larus argentatus\nskua, bonxie\nparasitic jaeger, arctic skua, Stercorarius parasiticus\npetrel\nalbatross, mollymawk\nwandering albatross, Diomedea exulans\nshearwater\nstorm petrel\nfulmar, fulmar petrel, Fulmarus glacialis\nred-necked grebe, Podiceps grisegena\ngreat crested grebe, Podiceps cristatus\npied-billed grebe, Podilymbus podiceps\nblack-necked grebe, eared grebe, Podiceps nigricollis\ndabchick, little grebe, Podiceps ruficollis\nrazorbill, razor-billed auk, Alca torda\nguillemot\nauklet\nmurre\nblack guillemot, Cepphus grylle\ncommon murre, Uria aalge\npigeon guillemot, Cepphus columba\nfrigate bird, man-of-war bird\ncormorant, Phalacrocorax carbo\nsnakebird, anhinga, darter\npelican\ngannet\nwater turkey, Anhinga anhinga\ntropic bird, tropicbird, boatswain bird\nwhite pelican, Pelecanus erythrorhynchos\nOld world white pelican, Pelecanus onocrotalus\nsolan, solan goose, solant goose, Sula bassana\nbooby\npenguin\nemperor penguin, Aptenodytes forsteri\njackass penguin, Spheniscus demersus\nking penguin, Aptenodytes patagonica\nrock hopper, crested penguin\nAdelie, Adelie penguin, Pygoscelis adeliae\nhorned puffin, Fratercula corniculata\ntufted puffin, Lunda cirrhata\nAtlantic puffin, Fratercula arctica\nanseriform bird\ngoose\nduck\nblue goose, Chen caerulescens\nbarnacle goose, barnacle, Branta leucopsis\nsnow goose\nChinese goose, Anser cygnoides\ncommon brant goose, Branta bernicla\nbrant, brant goose, brent, brent goose\ngosling\ngreylag, graylag, greylag goose, graylag goose, Anser anser\ngander\nhonker, Canada goose, Canadian goose, Branta canadensis\ndiving duck\nscaup, scaup duck, bluebill, broadbill\nshelduck\nwood drake\nbufflehead, butterball, dipper, Bucephela albeola\nblack duck, Anas rubripes\nmandarin duck, Aix galericulata\nAmerican widgeon, baldpate, Anas americana\npintail, pin-tailed duck, Anas acuta\nmallard, Anas platyrhynchos\nsheldrake\nteal\nBarrow's goldeneye, Bucephala islandica\nquack-quack\nwild duck\nruddy duck, Oxyura jamaicensis\nwood duck, summer duck, wood widgeon, Aix sponsa\ndrake\nmuscovy duck, musk duck, Cairina moschata\nshoveler, shoveller, broadbill, Anas clypeata\ndabbling duck, dabbler\nwidgeon, wigeon, Anas penelope\nsea duck\nredhead, Aythya americana\npochard, Aythya ferina\ngoldeneye, whistler, Bucephela clangula\ncanvasback, canvasback duck, Aythya valisineria\nduckling\ngreater scaup, Aythya marila\nlesser scaup, lesser scaup duck, lake duck, Aythya affinis\ngarganey, Anas querquedula\ngreenwing, green-winged teal, Anas crecca\nbluewing, blue-winged teal, Anas discors\neider, eider duck\nold squaw, oldwife, Clangula hyemalis\nmerganser, fish duck, sawbill, sheldrake\nscoter, scooter\ncommon scoter, Melanitta nigra\nAmerican merganser, Mergus merganser americanus\nred-breasted merganser, Mergus serrator\nhooded merganser, hooded sheldrake, Lophodytes cucullatus\nsmew, Mergus albellus\ngoosander, Mergus merganser\nwren, jenny wren\nbroadbill\ntyrannid\noscine, oscine bird\nscrubbird, scrub-bird, scrub bird\nsparrow, true sparrow\nmarsh wren\nrock wren, Salpinctes obsoletus\nwinter wren, Troglodytes troglodytes\ncactus wren\nhouse wren, Troglodytes aedon\nCarolina wren, Thryothorus ludovicianus\novenbird\nmanakin\npitta\nwoodhewer, woodcreeper, wood-creeper, tree creeper\nNew World flycatcher, flycatcher, tyrant flycatcher, tyrant bird\nkingbird, Tyrannus tyrannus\nphoebe, phoebe bird, Sayornis phoebe\npewee, peewee, peewit, pewit, wood pewee, Contopus virens\nvermillion flycatcher, firebird, Pyrocephalus rubinus mexicanus\nwestern wood pewee, Contopus sordidulus\nscissortail, scissortailed flycatcher, Muscivora-forficata\ngrey kingbird, gray kingbird, petchary, Tyrannus domenicensis domenicensis\neastern kingbird\nArkansas kingbird, western kingbird\nwarbler\nbrown creeper, American creeper, Certhia americana\ncorvine bird\nstarling\npipit, titlark, lark\ntitmouse\nfairy bluebird, bluebird\nthrush\nhedge sparrow, sparrow, dunnock, Prunella modularis\nwood swallow, swallow shrike\nshrike\nlark\ngolden oriole, Oriolus oriolus\nOld World flycatcher, true flycatcher, flycatcher\nthrasher, mocking thrush\nvireo\ntanager\nhoneycreeper\nfinch\nbowerbird, catbird\nwater ouzel, dipper\naccentor\nmockingbird, mocker, Mimus polyglotktos\nbrown thrasher, brown thrush, Toxostoma rufums\nskylark, Alauda arvensis\ncatbird, grey catbird, gray catbird, Dumetella carolinensis\nsatin bowerbird, satin bird, Ptilonorhynchus violaceus\nwaxwing\nred-eyed vireo, Vireo olivaceous\nNew World oriole, American oriole, oriole\nOld World oriole, oriole\nbabbler, cackler\nswallow\ncreeper, tree creeper\nsongbird, songster\nAustralian magpie\nwagtail\nmeadow pipit, Anthus pratensis\nspotted flycatcher, Muscicapa striata, Muscicapa grisola\nweaver, weaverbird, weaver finch\nnuthatch, nutcracker\ngreater whitethroat, whitethroat, Sylvia communis\nNew World warbler, wood warbler\nkinglet\nOld World warbler, true warbler\ngnatcatcher\nlesser whitethroat, whitethroat, Sylvia curruca\nyellowthroat\ncommon yellowthroat, Maryland yellowthroat, Geothlypis trichas\novenbird, Seiurus aurocapillus\nparula warbler, northern parula, Parula americana\nBlackburn, Blackburnian warbler, Dendroica fusca\nyellow warbler, golden warbler, yellowbird, Dendroica petechia\nAmerican redstart, redstart, Setophaga ruticilla\nyellow-breasted chat, Icteria virens\nAudubon's warbler, Audubon warbler, Dendroica auduboni\nWilson's warbler, Wilson's blackcap, Wilsonia pusilla\nCape May warbler, Dendroica tigrina\nmyrtle warbler, myrtle bird, Dendroica coronata\ngoldcrest, golden-crested kinglet, Regulus regulus\nruby-crowned kinglet, ruby-crowned wren, Regulus calendula\ntailorbird, Orthotomus sutorius\nsedge warbler, sedge bird, sedge wren, reedbird, Acrocephalus schoenobaenus\nwren warbler\nblackcap, Silvia atricapilla\nrook, Corvus frugilegus\nClark's nutcracker, Nucifraga columbiana\njackdaw, daw, Corvus monedula\nEuropean magpie, Pica pica\njay\nraven, Corvus corax\ncrow\nmagpie\nAmerican crow, Corvus brachyrhyncos\nblue jay, jaybird, Cyanocitta cristata\nCanada jay, grey jay, gray jay, camp robber, whisker jack, Perisoreus canadensis\ncommon starling, Sturnus vulgaris\nhill myna, Indian grackle, grackle, Gracula religiosa\nmyna, mynah, mina, minah, myna bird, mynah bird\nbushtit\nchickadee\ntomtit, Parus caeruleus\ntufted titmouse, Parus bicolor\nCarolina chickadee, Parus carolinensis\nblack-capped chickadee, blackcap, Parus atricapillus\nrobin, redbreast, robin redbreast, Old World robin, Erithacus rubecola\nrobin, American robin, Turdus migratorius\nhermit thrush, Hylocichla guttata\nredwing, Turdus iliacus\nfieldfare, snowbird, Turdus pilaris\nsong thrush, mavis, throstle, Turdus philomelos\nnightingale, Luscinia megarhynchos\nblackbird, merl, merle, ouzel, ousel, European blackbird, Turdus merula\nmissel thrush, mistle thrush, mistletoe thrush, Turdus viscivorus\nring ouzel, ring blackbird, ring thrush, Turdus torquatus\nwheatear\nbluebird\nthrush nightingale, Luscinia luscinia\nbluethroat, Erithacus svecicus\nredstart, redtail\nbulbul\nOld World chat, chat\nwood thrush, Hylocichla mustelina\nstonechat, Saxicola torquata\nwhinchat, Saxicola rubetra\nbutcherbird\nloggerhead shrike, Lanius lucovicianus\nbush shrike\nnorthern shrike, Lanius borealis\nEuropean shrike, Lanius excubitor\nwestern tanager, Piranga ludoviciana\nsummer tanager, summer redbird, Piranga rubra\nscarlet tanager, Piranga olivacea, redbird, firebird\nserin\nbullfinch, Pyrrhula pyrrhula\ngrosbeak, grossbeak\ngoldfinch, Carduelis carduelis\nNew World sparrow\ncrossbill, Loxia curvirostra\nbunting\nlinnet, lintwhite, Carduelis cannabina\ncardinal, cardinal grosbeak, Richmondena Cardinalis, Cardinalis cardinalis, redbird\nsiskin, Carduelis spinus\ncommon canary, Serinus canaria\ntowhee\npurple finch, Carpodacus purpureus\nhoneycreeper, Hawaiian honeycreeper\nbrambling, Fringilla montifringilla\nNew World goldfinch, goldfinch, yellowbird, Spinus tristis\npine siskin, pine finch, Spinus pinus\nredpoll, Carduelis flammea\ndark-eyed junco, slate-colored junco, Junco hyemalis\nhouse finch, linnet, Carpodacus mexicanus\nchaffinch, Fringilla coelebs\ncanary, canary bird\nredpoll, Carduelis hornemanni\njunco, snowbird\npine grosbeak, Pinicola enucleator\nevening grosbeak, Hesperiphona vespertina\nhawfinch, Coccothraustes coccothraustes\nsong sparrow, Melospiza melodia\nwhite-throated sparrow, whitethroat, Zonotrichia albicollis\ntree sparrow, Spizella arborea\nfield sparrow, Spizella pusilla\nwhite-crowned sparrow, Zonotrichia leucophrys\nswamp sparrow, Melospiza georgiana\nchipping sparrow, Spizella passerina\nindigo bunting, indigo finch, indigo bird, Passerina cyanea\nreed bunting, Emberiza schoeniclus\nsnow bunting, snowbird, snowflake, Plectrophenax nivalis\nortolan, ortolan bunting, Emberiza hortulana\nyellowhammer, yellow bunting, Emberiza citrinella\ncedar waxwing, cedarbird, Bombycilla cedrorun\nBohemian waxwing, Bombycilla garrulus\nbobolink, ricebird, reedbird, Dolichonyx oryzivorus\nmeadowlark, lark\nnorthern oriole, Icterus galbula\norchard oriole, Icterus spurius\nNew World blackbird, blackbird\neastern meadowlark, Sturnella magna\nwestern meadowlark, Sturnella neglecta\nBullock's oriole, Icterus galbula bullockii\nBaltimore oriole, Baltimore bird, hangbird, firebird, Icterus galbula galbula\npurple grackle, Quiscalus quiscula\ncowbird\ngrackle, crow blackbird\nred-winged blackbird, redwing, Agelaius phoeniceus\nwhite-bellied swallow, tree swallow, Iridoprocne bicolor\ntree swallow, tree martin, Hirundo nigricans\nmartin\nbarn swallow, chimney swallow, Hirundo rustica\ncliff swallow, Hirundo pyrrhonota\nhouse martin, Delichon urbica\nbank martin, bank swallow, sand martin, Riparia riparia\nbutcherbird\ncurrawong, bell magpie\nJava sparrow, Java finch, ricebird, Padda oryzivora\nzebra finch, Poephila castanotis\nred-breasted nuthatch, Sitta canadensis\nEuropean nuthatch, Sitta europaea\nwhite-breasted nuthatch, Sitta carolinensis\nEnglish sparrow, house sparrow, Passer domesticus\ntree sparrow, Passer montanus\nthornbill\nArchilochus colubris\njacamar\nwoodpecker, peckerwood\nbarbet\ntoucanet\ntoucan\nflicker\ndowny woodpecker\ngreen woodpecker, Picus viridis\nsapsucker\nwryneck\nredheaded woodpecker, redhead, Melanerpes erythrocephalus\nyellow-shafted flicker, Colaptes auratus, yellowhammer\nred-breasted sapsucker, Sphyrapicus varius ruber\nyellow-bellied sapsucker, Sphyrapicus varius\nkingfisher\nroller\nmotmot, momot\nEuopean hoopoe, Upupa epops\nhornbill\nEuropean roller, Coracias garrulus\nhoopoe, hoopoo\nbee eater\nkookaburra, laughing jackass, Dacelo gigas\nEurasian kingfisher, Alcedo atthis\nbelted kingfisher, Ceryle alcyon\nvulture\nhawk\nsecretary bird, Sagittarius serpentarius\neagle, bird of Jove\nowl, bird of Minerva, bird of night, hooter\nOld World vulture\nNew World vulture, cathartid\nEgyptian vulture, Pharaoh's chicken, Neophron percnopterus\nbearded vulture, lammergeier, lammergeyer, Gypaetus barbatus\nblack vulture, Aegypius monachus\ngriffon vulture, griffon, Gyps fulvus\nblack vulture, carrion crow, Coragyps atratus\nbuzzard, turkey buzzard, turkey vulture, Cathartes aura\nking vulture, Sarcorhamphus papa\ncondor\nAndean condor, Vultur gryphus\nCalifornia condor, Gymnogyps californianus\nharrier\ngoshawk, Accipiter gentilis\nred-shouldered hawk, Buteo lineatus\nhoney buzzard, Pernis apivorus\nfalcon\nharrier eagle, short-toed eagle\nCooper's hawk, blue darter, Accipiter cooperii\nosprey, fish hawk, fish eagle, sea eagle, Pandion haliaetus\nkite\nrough-legged hawk, roughleg, Buteo lagopus\nbuzzard, Buteo buteo\nsparrow hawk, Accipiter nisus\nmarsh harrier, Circus Aeruginosus\nmarsh hawk, northern harrier, hen harrier, Circus cyaneus\ncarancha, Polyborus plancus\ngyrfalcon, gerfalcon, Falco rusticolus\nperegrine, peregrine falcon, Falco peregrinus\ncaracara\nhobby, Falco subbuteo\npigeon hawk, merlin, Falco columbarius\nkestrel, Falco tinnunculus\nsparrow hawk, American kestrel, kestrel, Falco sparverius\nwhite-tailed kite, Elanus leucurus\nswallow-tailed kite, swallow-tailed hawk, Elanoides forficatus\nblack kite, Milvus migrans\neaglet\ngolden eagle, Aquila chrysaetos\nsea eagle\nbald eagle, American eagle, Haliaeetus leucocephalus\nharpy, harpy eagle, Harpia harpyja\ntawny eagle, Aquila rapax\nfishing eagle, Haliaeetus leucorhyphus\nern, erne, grey sea eagle, gray sea eagle, European sea eagle, white-tailed sea eagle, Haliatus albicilla\ntawny owl, Strix aluco\nowlet\nspotted owl, Strix occidentalis\nscreech owl, Otus asio\nhorned owl\nscreech owl\nlittle owl, Athene noctua\nbarn owl, Tyto alba\nscops owl\nOld World scops owl, Otus scops\nhawk owl, Surnia ulula\ngreat horned owl, Bubo virginianus\nbarred owl, Strix varia\nlong-eared owl, Asio otus\ngreat grey owl, great gray owl, Strix nebulosa\nfrogmouth\ngoatsucker, nightjar, caprimulgid\ntouraco, turaco, turacou, turakoo\ncuckoo\ncoucal\nroadrunner, Geococcyx californianus\nrhea, Rhea americana\nrhea, nandu, Pterocnemia pennata\nostrich, Struthio camelus\nemu, Dromaius novaehollandiae, Emu novaehollandiae\ncassowary\ndomestic fowl, fowl, poultry\ncolumbiform bird\nbrush turkey, Alectura lathami\nred jungle fowl, Gallus gallus\njungle fowl, gallina\ngame bird\ngobbler, tom, tom turkey\nbantam\nturkey, Meleagris gallopavo\nguinea fowl, guinea, Numida meleagris\nchicken, Gallus gallus\ncockerel\nrooster\nRhode Island red\nchick, biddy\nOrpington\nhen, biddy\npullet\nbrood hen, broody, broody hen, setting hen, sitter\nsandgrouse, sand grouse\npigeon\ndomestic pigeon\ndove\nwood pigeon, ringdove, cushat, Columba palumbus\nrock dove, rock pigeon, Columba livia\nhoming pigeon, homer\nroller, tumbler, tumbler pigeon\nStreptopelia turtur\nturtledove\nAustralian turtledove, turtledove, Stictopelia cuneata\nmourning dove, Zenaidura macroura\nphasianid\ntinamou, partridge\ngrouse\npheasant\nquail\npartridge\ntragopan\nring-necked pheasant, Phasianus colchicus\ngolden pheasant, Chrysolophus pictus\npeafowl, bird of Juno\npeahen\nblue peafowl, Pavo cristatus\npeacock\ngreen peafowl, Pavo muticus\nbobwhite, bobwhite quail, partridge\nCalifornia quail, Lofortyx californicus\nnorthern bobwhite, Colinus virginianus\nred-legged partridge, Alectoris ruffa\nHungarian partridge, grey partridge, gray partridge, Perdix perdix\nspruce grouse, Canachites canadensis\nprairie chicken, prairie grouse, prairie fowl\ncapercaillie, capercailzie, horse of the wood, Tetrao urogallus\nruffed grouse, partridge, Bonasa umbellus\nsage grouse, sage hen, Centrocercus urophasianus\nmoorhen\nblack grouse\nptarmigan\ncockateel, cockatiel, cockatoo parrot, Nymphicus hollandicus\nparakeet, parrakeet, parroket, paraquet, paroquet, parroquet\ncockatoo\npoll, poll parrot\nkea, Nestor notabilis\nAfrican grey, African gray, Psittacus erithacus\nmacaw\namazon\nlovebird\nlory\npopinjay\nbudgerigar, budgereegah, budgerygah, budgie, grass parakeet, lovebird, shell parakeet, Melopsittacus undulatus\nring-necked parakeet, Psittacula krameri\nsulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita\npink cockatoo, Kakatoe leadbeateri\nrainbow lorikeet, Trichoglossus moluccanus\nlorikeet\nbeast of burden, jument\ndraft animal\nctenophore, comb jelly\nworm\nmollusk, mollusc, shellfish\nechinoderm\ncoelenterate, cnidarian\narthropod\nsponge, poriferan, parazoan\nnematode, nematode worm, roundworm\nannelid, annelid worm, segmented worm\nflatworm, platyhelminth\nmedicinal leech, Hirudo medicinalis\nearthworm, angleworm, fishworm, fishing worm, wiggler, nightwalker, nightcrawler, crawler, dew worm, red worm\nchiton, coat-of-mail shell, sea cradle, polyplacophore\nbivalve, pelecypod, lamellibranch\ncephalopod, cephalopod mollusk\ngastropod, univalve\noyster\nark shell\nclam\nmussel\ncockle\nscallop, scollop, escallop\npearl oyster, Pinctada margaritifera\nsoft-shell clam, steamer, steamer clam, long-neck clam, Mya arenaria\nquahog, quahaug, hard-shell clam, hard clam, round clam, Venus mercenaria, Mercenaria mercenaria\ngiant clam, Tridacna gigas\nfreshwater mussel, freshwater clam\nedible mussel, Mytilus edulis\nzebra mussel, Dreissena polymorpha\noctopod\nchambered nautilus, pearly nautilus, nautilus\ncuttlefish, cuttle\noctopus, devilfish\npaper nautilus, nautilus, Argonaut, Argonauta argo\nsea hare, Aplysia punctata\ncowrie, cowry\nconch\nseasnail\normer, sea-ear, Haliotis tuberculata\ntiger cowrie, Cypraea tigris\nsea slug, nudibranch\nslug\nsnail\ncommon limpet, Patella vulgata\nwhelk\nnerita\nedible snail, Helix pomatia\nbrown snail, Helix aspersa\ngarden snail\nstarfish, sea star\nfeather star, comatulid\nsand dollar\nsea urchin\nsea cucumber, holothurian\nbrittle star, brittle-star, serpent star\npolyp\nanthozoan, actinozoan\nPortuguese man-of-war, man-of-war, jellyfish\njellyfish\nsea pen\nsea anemone, anemone\ncoral\nstony coral, madrepore, madriporian coral\ngorgonian, gorgonian coral\nsea fan\nmushroom coral\nbrain coral\ncentipede\ncrustacean\ntrilobite\nmillipede, millepede, milliped\narachnid, arachnoid\nhorseshoe crab, king crab, Limulus polyphemus, Xiphosurus polyphemus\ninstar\ninsect\nhouse centipede, Scutigera coleoptrata\ndaphnia, water flea\nbrachyuran\nmantis shrimp, mantis crab\nmalacostracan crustacean\ndecapod crustacean, decapod\nisopod\namphipod\npill bug\nwoodlouse, slater\nlobster\nshrimp\nhermit crab\nprawn\ncrab\ncrayfish, crawfish, crawdad, crawdaddy\nNorway lobster, Nephrops norvegicus\nspiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish\nAmerican lobster, Northern lobster, Maine lobster, Homarus americanus\nking crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica\nblue crab, Callinectes sapidus\nrock crab, Cancer irroratus\nDungeness crab, Cancer magister\nfiddler crab\nEuropean spider crab, king crab, Maja squinado\nscorpion\nharvestman, daddy longlegs, Phalangium opilio\nacarine\nspider\ntick\nmite\nwood tick, American dog tick, Dermacentor variabilis\norb-weaving spider\nEuropean wolf spider, tarantula, Lycosa tarentula\ntarantula\nwolf spider, hunting spider\ngarden spider, Aranea diademata\nblack widow, Latrodectus mactans\nblack and gold garden spider, Argiope aurantia\nbarn spider, Araneus cavaticus\northopterous insect, orthopteron, orthopteran\nhemipterous insect, bug, hemipteran, hemipteron\nneuropteron, neuropteran, neuropterous insect\ndictyopterous insect\ncollembolan, springtail\nmayfly, dayfly, shadfly\nhomopterous insect, homopteran\ndipterous insect, two-winged insects, dipteran, dipteron\nearwig\ncommon European earwig, Forficula auricularia\nphasmid, phasmid insect\npollinator\nbug\npupa\nwalking stick, walkingstick, stick insect\nscorpion fly\nbeetle\nheteropterous insect\nstonefly, stone fly, plecopteran\nhymenopterous insect, hymenopteran, hymenopteron, hymenopter\nlepidopterous insect, lepidopteron, lepidopteran\nchrysalis\nodonate\nsilverfish, Lepisma saccharina\nworker bee\ngrasshopper, hopper\ncricket\nkatydid\nlocust\ntrue bug\nbedbug, bed bug, chinch, Cimex lectularius\ndobson, dobsonfly, dobson fly, Corydalus cornutus\ngreen lacewing, chrysopid, stink fly\nlacewing, lacewing fly\nmantis, mantid\npraying mantis, praying mantid, Mantis religioso\ncockroach, roach\nAmerican cockroach, Periplaneta americana\nGerman cockroach, Croton bug, crotonbug, water bug, Blattella germanica\noriental cockroach, oriental roach, Asiatic cockroach, blackbeetle, Blatta orientalis\nplant louse, louse\ncicada, cicala\nmeadow spittlebug, Philaenus spumarius\nseventeen-year locust, periodical cicada, Magicicada septendecim\nmealybug, mealy bug\nleafhopper\naphid\nmosquito\ncrane fly, daddy longlegs\nmidge\nfruit fly, pomace fly\nfly\nhorse tick, horsefly, Hippobosca equina\nrobber fly, bee killer\nAsian tiger mosquito, Aedes albopictus\ncommon mosquito, Culex pipiens\nbee fly\nhorsefly, cleg, clegg, horse fly\nflesh fly, Sarcophaga carnaria\nblowfly, blow fly\nhousefly, house fly, Musca domestica\ngreenbottle, greenbottle fly\nbluebottle, Calliphora vicina\nColorado potato beetle, Colorado beetle, potato bug, potato beetle, Leptinotarsa decemlineata\nfirefly, lightning bug\nground beetle, carabid beetle\nsawyer, sawyer beetle\nladybug, ladybeetle, lady beetle, ladybird, ladybird beetle\nlamellicorn beetle\nrove beetle\nAsian longhorned beetle, Anoplophora glabripennis\nleaf beetle, chrysomelid\nelaterid beetle, elater, elaterid\nclick beetle, skipjack, snapping beetle\ntiger beetle\nweevil\nlong-horned beetle, longicorn, longicorn beetle\nHippodamia convergens\nvedalia, Rodolia cardinalis\nscarabaeid beetle, scarabaeid, scarabaean\nstag beetle\nrose chafer, rose beetle, Cetonia aurata\nJune beetle, June bug, May bug, May beetle\nJapanese beetle, Popillia japonica\nrhinoceros beetle\ndung beetle\nscarab, scarabaeus, Scarabaeus sacer\ncockchafer, May bug, May beetle, Melolontha melolontha\nwater strider, pond-skater, water skater\nwheel bug, Arilus cristatus\nwasp\nichneumon fly\nant, emmet, pismire\nbee\ncicada killer, Sphecius speciosis\ndigger wasp\nvespid, vespid wasp\nhornet\npaper wasp\ncommon wasp, Vespula vulgaris\ngiant hornet, Vespa crabro\nyellow jacket, yellow hornet, Vespula maculifrons\ncarpenter ant\nfire ant\nwood ant, Formica rufa\ncarpenter bee\nhoneybee, Apis mellifera\nmason bee\nandrena, andrenid, mining bee\nleaf-cutting bee, leaf-cutter, leaf-cutter bee\nbumblebee, humblebee\nAfricanized bee, Africanized honey bee, killer bee, Apis mellifera scutellata, Apis mellifera adansonii\nblack bee, German bee\nbutterfly\nmoth\nlycaenid, lycaenid butterfly\nnymphalid, nymphalid butterfly, brush-footed butterfly, four-footed butterfly\nsulphur butterfly, sulfur butterfly\nringlet, ringlet butterfly\nmonarch, monarch butterfly, milkweed butterfly, Danaus plexippus\ncabbage butterfly\nblue\nhairstreak, hairstreak butterfly\ncopper\ntortoiseshell, tortoiseshell butterfly\nfritillary\nadmiral\nbanded purple, white admiral, Limenitis arthemis\npeacock, peacock butterfly, Inachis io\nred-spotted purple, Limenitis astyanax\npainted beauty, Vanessa virginiensis\nmourning cloak, mourning cloak butterfly, Camberwell beauty, Nymphalis antiopa\nviceroy, Limenitis archippus\nred admiral, Vanessa atalanta\nwhite admiral, Limenitis camilla\ncomma, comma butterfly, Polygonia comma\nsmall white, Pieris rapae\nlarge white, Pieris brassicae\ncinnabar, cinnabar moth, Callimorpha jacobeae\nsaturniid, saturniid moth\nnoctuid moth, noctuid, owlet moth\nhawkmoth, hawk moth, sphingid, sphinx moth, hummingbird moth\ntea tortrix, tortrix, Homona coffearia\ngeometrid, geometrid moth\ntineid, tineid moth\natlas moth, Atticus atlas\nemperor, emperor moth, Saturnia pavonia\npolyphemus moth, Antheraea polyphemus\ncecropia, cecropia moth, Hyalophora cecropia\nluna moth, Actias luna\ncarpet moth, tapestry moth, Trichophaga tapetzella\nclothes moth\ndragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk\ndamselfly\nhen\nfilly\ndam\nherpes, herpes virus\nprotoctist\nherpes simplex 1, HS1, HSV-1, HSV-I\nherpes zoster, herpes zoster virus\ncytomegalovirus, CMV\nherpes varicella zoster, herpes varicella zoster virus\nalga, algae\nprotozoan, protozoon\nseagrass\npond scum\ngreen algae, chlorophyte\nplasmodium, Plasmodium vivax, malaria parasite\nameba, amoeba\nciliate, ciliated protozoan, ciliophoran\nparamecium, paramecia\nsphagnum, sphagnum moss, peat moss, bog moss\nhepatica, Marchantia polymorpha\nliverwort, hepatic\npeer, equal, match, compeer\nbirth\nadult, grownup\njuvenile, juvenile person\ncountrywoman\nbusinessperson, bourgeois\nnative\ncelebrant, celebrator, celebrater\nnative, indigen, indigene, aborigine, aboriginal\nFilipino\nmale, male person\nGemini, Twin\nonlooker, looker-on\nqueen\nreferee, ref\ncommoner, common man, common person\nexpert\nnewcomer, fledgling, fledgeling, starter, neophyte, freshman, newbie, entrant\nface\ndemonstrator, protester\norphan\nBlack woman\ncontestant\nbullfighter, toreador\nlowerclassman, underclassman\ncandidate, prospect\nfriend\nlife\nanomaly, unusual person\nactor, doer, worker\nthrower\ncreature, wight\nchild, baby\nsheep\nscuba diver\ndancer, social dancer\ngarbage man, garbageman, garbage collector, garbage carter, garbage hauler, refuse collector, dustman\nentertainer\nlover\nunfortunate, unfortunate person\nanti\ndefender, guardian, protector, shielder\nsphinx\nIndian, American Indian, Red Indian\npatient\nSlav\nWhite, White person, Caucasian\nbrick\nrecipient, receiver\nreligious person\nrescuer, recoverer, saver\nLatin\nmoney handler, money dealer\nrich person, wealthy person, have\ndomestic partner, significant other, spousal equivalent, spouse equivalent\ncreator\nconsumer\nworker\ngroom, bridegroom\nboy scout\ninhabitant, habitant, dweller, denizen, indweller\nAfrican\nfan, buff, devotee, lover\neager beaver, busy bee, live wire, sharpie, sharpy\nleader\nschoolmate, classmate, schoolfellow, class fellow\nman\nphilatelist, stamp collector\nadvocate, advocator, proponent, exponent\neccentric, eccentric person, flake, oddball, geek\nbad person\ntransvestite, cross-dresser\ncitizen\ncommunicator\nnonworker\nparrot\nintellectual, intellect\nnonsmoker\nstudent, pupil, educatee\nchameleon\ncombatant, battler, belligerent, fighter, scrapper\nplatinum blond, platinum blonde\nappointee, appointment\nunpleasant person, disagreeable person\npolitician\nruler, swayer\nancient\nspectator, witness, viewer, watcher, looker\nright-hander, right hander, righthander\ntraveler, traveller\nscientist\npicker, chooser, selector\nfemale, female person\nacquaintance, friend\nBlack, Black person, blackamoor, Negro, Negroid\nrelative, relation\nbeard\nredhead, redheader, red-header, carrottop\nsleeper, slumberer\ncomputer user\nassociate\nparticipant\nmember, fellow member\nraiser\ngroom, bridegroom\nbride\ncommissioner\ndirector\ntribesman\nboard member\nimportant person, influential person, personage\nprofessional, professional person\noldster, old person, senior citizen, golden ager\ncelebrity, famous person\nvery important person, VIP, high-up, dignitary, panjandrum, high muckamuck\nserjeant-at-law, serjeant, sergeant-at-law, sergeant\neducator, pedagogue, pedagog\nhealth professional, primary care provider, PCP, health care provider, caregiver\nteacher, instructor\nreading teacher\nschoolmaster\nnurse\nmedical practitioner, medical man\npharmacist, druggist, chemist, apothecary, pill pusher, pill roller\nhead nurse\nprobationer, student nurse\ndoctor, doc, physician, MD, Dr., medico\nsurgeon, operating surgeon, sawbones\nspecialist, medical specialist\nhouse physician, resident, resident physician\ncardiologist, heart specialist, heart surgeon\nradiologist, radiotherapist\nschoolchild, school-age child, pupil\nchild, kid, youngster, minor, shaver, nipper, small fry, tiddler, tike, tyke, fry, nestling\nbairn\norphan\nentrepreneur, enterpriser\nbaron, big businessman, business leader, king, magnate, mogul, power, top executive, tycoon\nagent, factor, broker\nmerchant, merchandiser\ncertified public accountant, CPA\nsyndic\ninsurance broker, insurance agent, general agent, underwriter\nfishmonger, fishwife\nvintner, wine merchant\npeddler, pedlar, packman, hawker, pitchman\nseller, marketer, vender, vendor, trafficker\nmale child, boy\nmother's boy, mamma's boy, mama's boy\nson, boy\nman, adult male\ncub, lad, laddie, sonny, sonny boy\nfarm boy\nbat boy\nHerr\nhunk\nPeter Pan\npatriarch\nadonis\nyoung buck, young man\nstud, he-man, macho-man\nguy, cat, hombre, bozo\npatriarch, paterfamilias\nsleuth, sleuthhound\narcher, bowman\nauthority\nmilitary attache\ntherapist, healer\ntechnician\nblack belt\nhigh priest\ncritic\ntaster, taste tester, taste-tester, sampler\npanelist, panellist\nphysical therapist, physiotherapist\nosteopath, osteopathist\nplayer, participant\nathlete, jock\nrival, challenger, competitor, competition, contender\nbilliard player\nmedalist, medallist, medal winner\nseeded player, seed\nchess master\npool player\nfootball player, footballer\ntennis player\nball hawk\nvaulter, pole vaulter, pole jumper\nrunner\nskater\nacrobat\nclimber\ndiver, plunger\nalpinist\nsoccer player\nwinger\ntennis pro, professional tennis player\nforward\nsport, sportsman, sportswoman\nbasketball player, basketeer, cager\nmiler\nballplayer, baseball player\ngymnast\nback\nlineman\nhalfback\nquarterback, signal caller, field general\ntailback\nskateboarder\nspeedskater, speed skater\ncircus acrobat\naerialist\nfielder\ndesignated hitter\nbase runner, runner\nminor leaguer, bush leaguer\nfirst baseman, first sacker\noutfielder\nright fielder\ninfielder\nsemifinalist\nfoe, enemy\nmatador\npicador\nbanderillero\nbuddy, brother, chum, crony, pal, sidekick\nmate\nflatmate\npitcher, hurler, twirler\ncloser, finisher\nright-handed pitcher, right-hander\nfolk dancer\nsquare dancer\nmorris dancer\ncompere\nmaster of ceremonies, emcee, host\ncaricaturist\nperformer, performing artist\nfire-eater, fire-swallower\nexecutant\ndancer, professional dancer, terpsichorean\njuggler\npuppeteer\nactor, histrion, player, thespian, role player\nclown, buffoon, goof, goofball, merry andrew\nmusician, instrumentalist, player\ndancing-master, dance master\nballet dancer\nunderstudy, standby\nstarlet\ntenor saxophonist, tenorist\npercussionist\nguitarist, guitar player\nkeyboardist\ntrumpeter, cornetist\nsitar player\nsinger, vocalist, vocalizer, vocaliser\noboist\ncellist, violoncellist\nviolist\nflutist, flautist, flute player\norganist\nrock star\ndrummer\nsongster\nbass, basso\nfiance, groom-to-be\ndarling, favorite, favourite, pet, dearie, deary, ducky\nfancier, enthusiast\nsoul mate\nsweetheart, sweetie, steady, truelove\nkisser, osculator\namputee\nhomeless, homeless person\ncasualty, injured party\nguard\nfireman, firefighter, fire fighter, fire-eater\nzoo keeper\nlawman, law officer, peace officer\nmilitary policeman, MP\nattorney general\npoliceman, police officer, officer\nbobby\nMountie\ndetective, investigator, tec, police detective\nmotorcycle cop, motorcycle policeman, speed cop\ntrooper, state trooper\ntraffic cop\nKiliwa, Kiliwi\nBiloxi\nChickasaw\nKickapoo\nArab, Arabian\nwhite man\nOmani\nBedouin, Beduin\nYemeni\nprotegee\nheiress, inheritress, inheritrix\nswami\nBuddhist\nMuslim, Moslem\nnovitiate, novice\nreligious\nMuslimah\nSufi\nmother\nmonk, monastic\nSister\ntreasurer, financial officer\nratepayer\nstate treasurer\nbursar\ncobbler, shoemaker\nartist, creative person\nchoreographer\nfarmer, husbandman, granger, sodbuster\nmusician\nstylist\nsculptor, sculpturer, carver, statue maker\npress photographer\nsongwriter, songster, ballad maker\narranger, adapter, transcriber\nbeekeeper, apiarist, apiculturist\nbreeder, stock breeder\nagriculturist, agriculturalist, cultivator, grower, raiser\ndrinker\npolicyholder\ndrinker, imbiber, toper, juicer\nconcert-goer, music lover\ndrunkard, drunk, rummy, sot, inebriate, wino\nbeer drinker, ale drinker\nmaid, maidservant, housemaid, amah\nemployee\nassistant, helper, help, supporter\ngondolier, gondoliere\nskilled worker, trained worker, skilled workman\nskidder\nboatman, boater, waterman\nwaiter, server\nbartender, barman, barkeep, barkeeper, mixologist\nstaff member, staffer\nsalesperson, sales representative, sales rep\nworkman, workingman, working man, working person\nsettler\nbreadwinner\nwaitress\nsalesman\ngardener\nlaborer, manual laborer, labourer, jack\nmill-hand, factory worker\nhired hand, hand, hired man\ncoal miner, collier, pitman\nhorse wrangler, wrangler\ngoat herder, goatherd\nfarmhand, fieldhand, field hand, farm worker\nattendant, attender, tender\ncog\nmodel, poser\nescort\ncaddie, golf caddie\ncompanion\nlifeguard, lifesaver\nsteward, flight attendant\ncolor guard\nhonor guard, guard of honor\ncover girl, pin-up, lovely\nartist's model, sitter\nelectrician, lineman, linesman\nofficial, functionary\nfalconer, hawker\nballoonist\ncraftsman, artisan, journeyman, artificer\npilot, airplane pilot\nblacksmith\ntrawler\nmender, repairer, fixer\nbaker, bread maker\nserviceman, military man, man, military personnel\npainter\ndiplomat, diplomatist\njudge, justice, jurist\nincumbent, officeholder\nappointee\npresbyter\nambassador, embassador\nhigh commissioner\nplenipotentiary\nglassblower\ncarpenter\ncoiffeur\nmachinist, mechanic, shop mechanic\nwright\nhairdresser, hairstylist, stylist, styler\nfighter pilot\ncopilot, co-pilot\nartilleryman, cannoneer, gunner, machine gunner\nNavy SEAL, SEAL\nmilitary officer, officer\nenlisted person\nnoncommissioned officer, noncom, enlisted officer\ncommanding officer, commandant, commander\nnaval commander\nadjutant general\ncommander in chief, generalissimo\ncommissioned officer\narmy officer\nadjutant, aide, aide-de-camp\ninspector general\nsergeant\nfirst sergeant, sergeant first class\nstaff sergeant\ncommissioned military officer\ncommissioned naval officer\nline officer\nmajor\nlieutenant\nfirst lieutenant, 1st lieutenant\nmarshal, marshall\ncaptain\ngeneral, full general\nlieutenant colonel, light colonel\nlieutenant commander\nrear admiral\nsoldier\nenlisted man\ntanker, tank driver\nreservist\nUnknown Soldier\nprivate, buck private, common soldier\nrecruit, military recruit\nyard bird, yardbird\nvillager\nTahitian\nAmerican\nAsian, Asiatic\nAmerican\nPolynesian\nEuropean\nNew Zealander, Kiwi\nNorth Carolinian, Tarheel\nMinnesotan, Gopher\nNebraskan, Cornhusker\nFloridian\nAfghan, Afghanistani\nTibetan\nMongol, Mongolian\nPapuan\nIndian\nJordanian\nJapanese, Nipponese\nMalay, Malayan\nKorean\nTimorese\nBornean\nLao, Laotian\nIraqi, Iraki\nGujarati, Gujerati\nPunjabi, Panjabi\nWest Indian\nLatin American, Latino\nNorth American\nSouth American\nBahamian\nBarbadian\nHaitian\nCentral American\nCanadian\nMexican\nNicaraguan\nMexican-American, Mexicano\nBolivian\nGuyanese\nAlbanian\nByelorussian, Belorussian, White Russian\nMonegasque, Monacan\nFrank\nScandinavian, Norse, Northman\nLaconian\nNetherlander, Dutchman, Hollander\nSlovene\nSabine\nBulgarian\nRomanian, Rumanian\nLithuanian\nEnglishwoman\nBritisher, Briton, Brit\nYugoslav, Jugoslav, Yugoslavian, Jugoslavian\nDubliner\nParisian\nEritrean\nTanzanian\nZulu\nBlack African\nCameroonian\nSudanese\nSenegalese\nKenyan\nTogolese\nUgandan\nLiberian\nHerero\nZimbabwean\nNigerian\nGambian\nTuareg\nGuinean\nEthiopian\nSouth African\nmayor, city manager\npolitician, politico, pol, political leader\ntrainer\nemployer\nSpeaker\nlawgiver, lawmaker\ncheerleader\nhead, chief, top dog\naristocrat, blue blood, patrician\nspiritual leader\ninstigator, initiator\nmistress\nboss\ndemagogue, demagog, rabble-rouser\nLabourite\nanimal trainer, handler\npitching coach\nlegislator\ndeputy\nsenator\nadministrator, decision maker\ndepartment head\nsecretary\nmanageress\nexecutive, executive director\nhotelier, hotelkeeper, hotel manager, hotelman, hosteller\nchief executive officer, CEO, chief operating officer\nTreasury, First Lord of the Treasury\nminister, government minister\nSecretary of State\nSecretary of the Interior, Interior Secretary\nduchess\nviscount\nclergyman, reverend, man of the cloth\nlama\nrabbi\nDalai Lama, Grand Lama\nofficiant\npriest\ncleric, churchman, divine, ecclesiastic\nvicar\nFather, Padre\nbishop\ndiocesan\ncardinal\nmetropolitan\nfederalist\nsupporter, protagonist, champion, admirer, booster, friend\nambassador\nprotectionist\nloyalist, stalwart\ncheerleader\nadulteress, fornicatress, hussy, jade, loose woman, strumpet, trollop\nwrongdoer, offender\nhypocrite, dissembler, dissimulator, phony, phoney, pretender\nabettor, abetter\nskinhead\nbiographer\ndisk jockey, disc jockey, dj\nspeaker, talker, utterer, verbalizer, verbaliser\nrepresentative\nreporter, newsman, newsperson\norator, speechmaker, rhetorician, public speaker, speechifier\ninterlocutor, conversational partner\norgan-grinder\nhead of state, chief of state\nalderman\nresident commissioner\nPresident of the United States, United States President, President, Chief Executive\npresident\ntelevision reporter, television newscaster, TV reporter, TV newsman\nanchor, anchorman, anchorperson\nretiree, retired person\nsunbather\ncamper\nscholar, scholarly person, bookman, student\nexponent\ncasuist, sophist\nfuturist\nlicentiate\nreader\nbrawler\nboxer, pugilist\nwrestler, grappler, matman\nflyweight\nmiddleweight\nsparring partner, sparring mate\nprizefighter, gladiator\nlight heavyweight, cruiserweight\nfeatherweight\nlightweight\nheavyweight\nflyweight\nsumo wrestler\nbantamweight\negotist, egoist, swellhead\nfire-eater, hothead\nupstart, parvenu, nouveau-riche, arriviste\nbragger, braggart, boaster, blowhard, line-shooter, vaunter\nexhibitionist, show-off\nsovereign, crowned head, monarch\nPharaoh, Pharaoh of Egypt\nCheops, Khufu\nsheik, tribal sheik, sheikh, tribal sheikh, Arab chief\nrider\nmotorcyclist\nmusher\nastronaut, spaceman, cosmonaut\npedestrian, walker, footer\nmover\ncommuter\npilgrim\nskin-diver, aquanaut\nsettler, colonist\ntourist, tourer, holidaymaker\nrunner\ngringo\nunicyclist\nhang glider\njockey\nhorseman, equestrian, horseback rider\nsaunterer, stroller, ambler\nmarcher, parader\nhitter, striker\nscrambler\npsycholinguist\nsocial scientist\nlumper\nsociologist\npolitical scientist\neconomist, economic expert\neconometrician, econometrist\nmicroeconomist, microeconomic expert\nfemale child, girl, little girl\nwoman, adult female\nmother's daughter\ngirl wonder\nBoy Scout\nCub Scout\nenchantress, temptress, siren, Delilah, femme fatale\nlady\nold woman\nnymph, houri\ndonna\nbridesmaid, maid of honor\nsmasher, stunner, knockout, beauty, ravisher, sweetheart, peach, lulu, looker, mantrap, dish\nprimigravida, gravida I\nsignorina\ngirl, miss, missy, young lady, young woman, fille\nbeldam, beldame\nheroine\nwidow, widow woman\ncall girl\nbaggage\nwife, married woman\ngal\nbaby, babe, sister\nlass, lassie, young girl, jeune fille\nmaid, maiden\nfirst lady\nold lady\ncrown princess\nfather-in-law\ncousin, first cousin, cousin-german, full cousin\nkinswoman\nancestor, ascendant, ascendent, antecedent, root\nkinsman\nsecond cousin\nin-law, relative-in-law\nkin, kinsperson, family\ntwin\noffspring, progeny, issue\nsibling, sib\nniece\naunt, auntie, aunty\ngreat-niece, grandniece\nsister, sis\ngreat-aunt, grandaunt\nlittle sister\nbig sister\nparent\nforefather, father, sire\nforebear, forbear\npatriarch\nmater\nfather, male parent, begetter\nmother, female parent\ndad, dada, daddy, pa, papa, pappa, pop\nold man\ngreat grandparent\ngrandparent\ngreat grandmother\nnan\ngrandma, grandmother, granny, grannie, gran, nan, nanna\ngrandfather, gramps, granddad, grandad, granddaddy, grandpa\ngreat-nephew, grandnephew\nlittle brother\ngrandchild\nfirstborn, eldest\nchild, kid\nsuccessor, heir\ngranddaughter\ngreat grandchild\ngreat grandson\ngreat granddaughter\nbaby, babe, infant\ngodson\npremature baby, preterm baby, premature infant, preterm infant, preemie, premie\nneonate, newborn, newborn infant, newborn baby\nshiitake, shiitake mushroom, Chinese black mushroom, golden oak mushroom, Oriental black mushroom, Lentinus edodes\ncommon stinkhorn, Phallus impudicus\nearthball, false truffle, puffball, hard-skinned puffball\ntruffle, earthnut, earth-ball\nhen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa\ngyromitra\nmildew\nlichen\nwhite fungus, Saprolegnia ferax\ntrue slime mold, acellular slime mold, plasmodial slime mold, myxomycete\nslime mold, slime mould\nclub fungus\nearthstar\ncoral fungus\nfalse morel\npuffball, true puffball\npythium\nhelvella\ngiant puffball, Calvatia gigantea\nScleroderma citrinum, Scleroderma aurantium\njelly fungus\nagaric, Fomes igniarius\nstinkhorn, carrion fungus\ndiscomycete, cup fungus\nbasidiomycete, basidiomycetous fungi\nPhytophthora infestans\nJew's-ear, Jew's-ears, ear fungus, Auricularia auricula\nbolete\npowdery mildew\ndowny mildew, false mildew\nreindeer moss, reindeer lichen, arctic moss, Cladonia rangiferina\nbeard lichen, beard moss, Usnea barbata\nIceland moss, Iceland lichen, Cetraria islandica\nlecanora\nSarcoscypha coccinea, scarlet cup\nAleuria aurantia, orange peel fungus\ngill fungus\npolypore, pore fungus, pore mushroom\nagaric\nmushroom\nPolyporus squamosus, scaly polypore\nbracket fungus, shelf fungus\nEntoloma lividum, Entoloma sinuatum\nmushroom\ninky cap, inky-cap mushroom, Coprinus atramentarius\nmushroom\noyster mushroom, oyster fungus, oyster agaric, Pleurotus ostreatus\ndeer mushroom, Pluteus cervinus\nparasol mushroom, Lepiota procera\nfairy-ring mushroom, Marasmius oreades\nroyal agaric, Caesar's agaric, Amanita caesarea\nblewits, Clitocybe nuda\nhoney mushroom, honey fungus, Armillariella mellea\nPholiota squarrosa, scaly pholiota\nlepiota\nblushing mushroom, blusher, Amanita rubescens\nhorse mushroom, Agaricus arvensis\nnameko, viscid mushroom, Pholiota nameko\nwinter mushroom, Flammulina velutipes\nfalse deathcap, Amanita mappa\nshaggymane, shaggy cap, shaggymane mushroom, Coprinus comatus\ndestroying angel, Amanita verna\ntoadstool\nchanterelle, chantarelle, Cantharellus cibarius\nmeadow mushroom, field mushroom, Agaricus campestris\ndeath cap, death cup, death angel, destroying angel, Amanita phalloides\nfly agaric, Amanita muscaria\nmorel\ncommon morel, Morchella esculenta, sponge mushroom, sponge morel\nblack morel, Morchella conica, conic morel, Morchella angusticeps, narrowhead morel\nBoletus edulis\nBoletus luridus\nBoletus chrysenteron\nsomatic cell, vegetative cell\nhistiocyte\nleukocyte, leucocyte, white blood cell, white cell, white blood corpuscle, white corpuscle, WBC\nlymphocyte, lymph cell\nneutrophil, neutrophile\nnest\ntangle\nradiator\nplant part, plant structure\nrock, stone\ncomet\ncadaver, corpse, stiff, clay, remains\nstar\nsnowdrift\ncovering, natural covering, cover\naerie, aery, eyrie, eyry\nwasp's nest, wasps' nest, hornet's nest, hornets' nest\nlip\ntendril\nplant organ\nmycelium\nreproductive structure\nleaf, leafage, foliage\nroot\nstalk, stem\nhypanthium, floral cup, calyx tube\nflower, bloom, blossom\nfruit\npistil\nrosebud\ninflorescence\nfloret, floweret\numbel\nflower cluster\npanicle\nolive\near, spike, capitulum\nbuckthorn berry, yellow berry\nberry\nwild cherry\nacorn\nrowanberry\nmealie\ngourd\nseed\nhip, rose hip, rosehip\njuniper berry\npod, seedpod\ncorn\ncoffee bean, coffee berry, coffee\nnut\nbuckeye, horse chestnut, conker\noilseed, oil-rich seed\nbean\nedible seed\nedible nut\npine nut, pignolia, pinon nut\nmacadamia nut\npistachio, pistachio nut\nhazelnut, filbert, cobnut, cob\nwalnut\ncashew, cashew nut\nchestnut\npecan\npeanut, earthnut, goober, goober pea, groundnut, monkey nut\ncoconut, cocoanut\nlinseed, flaxseed\nrapeseed\nbroad bean, fava bean, horsebean\nsoy, soybean, soya bean\ncumin, cumin seed\nsunflower seed\npumpkin seed\nlegume\nokra\nchickpea, garbanzo\npea\ncowpea, black-eyed pea\ngarden pea\nlentil\ndandelion green\nfrond\npetal, flower petal\ncassava, manioc\nchicory, chicory root\ntuber\nspadix\nbranchlet, twig, sprig\nbulb\npetiole, leafstalk\nscape, flower stalk\ncornstalk, corn stalk\nrattan, rattan cane\nJerusalem artichoke\nyam\nsquill\nonion\nbelay\noutcrop, outcropping, rock outcrop\ntor\nsupernova\nsun, Sun\nshell\nbracteole, bractlet\nshell\ncassia bark, Chinese cinnamon\nsnowcap\nperianth, chlamys, floral envelope, perigone, perigonium\nbody covering\nroof\nseashell\nscallop shell\noyster shell\nexoskeleton\ncuticle\nplastron\nskin, tegument, cutis\nhair\nscapular\nhairdo, hairstyle, hair style, coiffure, coif\nforelock\nencolure\nfacial hair\npigtail\nthatch\npompadour\nmustache, moustache\nbeard, face fungus, whiskers\nmustachio, moustachio, handle-bars\nsoup-strainer, toothbrush\nstubble\nsoul patch, Attilio\nweather, weather condition, conditions, atmospheric condition\ndust storm, duster, sandstorm, sirocco\ncloud\nsnow, snowfall\nwave\nsperm whale, cachalot, black whale, Physeter catodon\nbeaked whale\npygmy sperm whale, Kogia breviceps\nArmillaria ponderosa, white matsutake\nPholiota flavida\npig's ears, Cantharellus clavatus\nCortinarius corrugatus\nPholiota squarrosoides\nPholiota squarrosa-adiposa\nVolvariella bombycina\nTricholoma aurantium\nfloccose chanterelle, Cantharellus floccosus\nsandy mushroom, Tricholoma populinum\nCortinarius atkinsonianus\nPholiota astragalina\nClitocybe clavipes\nwaxycap\nkishke, stuffed derma\nSalisbury steak\nbeef Stroganoff\npudding\npork and beans\nlobster thermidor\nbarbecue, barbeque\nsushi\ntostada\nsauerkraut\nchicken cordon bleu\npepper steak\nchicken and rice\ndolmas, stuffed grape leaves\nmacedoine\ntamale pie\nhash\ngalantine\ncoquille\nbacon and eggs\nhaggis\nmorion, cabasset\ncasque\nair bag\ntrammel\nshackle, bond, hamper, trammel\nsea anchor, drogue\nlock, ignition lock\ngag, muzzle\nbrake pad\nband\nbrake\nawl\nbevel, bevel square\nfile\nfloat, plasterer's float\ngutter\nhand shovel\ngraver, graving tool, pointel, pointrel\nmiter box, mitre box\npitchfork\nplumber's snake, auger\nsquare\nstraightedge\nweeder, weed-whacker\ntire iron, tire tool\nwire stripper\nsettlement\nwilderness, wild\nriver basin, basin, watershed, drainage basin, catchment area, catchment basin, drainage area\ncountry, rural area\nurban area, populated area\nVenturi tube\nradar, microwave radar, radio detection and ranging, radiolocation\nquadrant\nseismograph\nlittle auk, dovekie, Plautus alle\ngreat auk, Pinguinus impennis\nCheviot\nbroadtail, caracul, karakul\nRambouillet\nHampshire, Hampshire down\nlongwool\nExmoor\nkauri pine, dammar pine\nplum-yew\ncelery pine\nyellow-leaf sickle pine, Falcatifolium taxoides\nbender\nabrader, abradant\nclincher\nfork\ngrapnel, grapple, grappler, grappling hook, grappling iron\nhack\nhoe\nJaws of Life\npunch, puncher\nstylus, style\ntap\nstrickle\nshaping tool\nhound's-tongue, Cynoglossum virginaticum\npilot engine\nshooting gallery\nwicket, wicket door, wicket gate\nshellflower, shell-flower, turtlehead, snakehead, snake-head, Chelone glabra\nachene\nsludge, slime, goo, goop, guck, gunk, muck, ooze\nxeranthemum\narchiannelid\nstill\nViyella\nlemongrass, lemon grass\nshaft\nfluke, flue\nmigrator\nembryo, conceptus, fertilized egg\ntooth\ndeer grass, meadow beauty\nbalcony\nplantain\nheliograph\nfanion\nnodding groundsel, Senecio bigelovii\ndisplay adapter, display adaptor\nfalse truffle\nmarasca\nwind tunnel\npool, puddle\nhammer, power hammer\nvagabond\ndinky, dinkey\nprairie star, Lithophragma parviflorum\ngipsywort, gypsywort, Lycopus europaeus\ntinsel\nkitten-tails\ndice cup, dice box\nWhipple's penstemon, Penstemon whippleanus\nturfing daisy, Tripleurospermum oreades tchihatchewii, Matricaria oreades\neyecup, eyebath, eye cup\nScopolia carniolica\nair traveler, air traveller\nwandflower, Sparaxis tricolor\nwaterweed\nbasil thyme, basil balm, mother of thyme, Acinos arvensis, Satureja acinos\ncrotalaria, rattlebox\nmeadow salsify, goatsbeard, shepherd's clock, Tragopogon pratensis\nroadhouse\nGastroboletus scabrosus\nChinese evergreen, Japanese leaf, Aglaonema modestum\narborescent plant\ndriver\nculture medium, medium\nfennel\noverlook\nwater chestnut, water chestnut plant, caltrop\nanimalcule, animalculum\npiston ring\nsphere, sphere of influence\nelectron multiplier\nkatharobe\ncobweb\ncanistel, eggfruit\npyx, pix, pyx chest, pix chest\ntennis court\ncatalufa, Priacanthus arenatus\ndark matter\nhood\nwatercress\nquandong, blue fig\ncul, cul de sac, dead end\npolyester\nsash window\nflowering shrub\nduckweed\nfalse alumroot, fringe cups, Tellima grandiflora\nfringed grass of Parnassus, Parnassia fimbriata\nschizopetalon, Schizopetalon walkeri\nblueberry, blueberry bush\ncotton, cotton plant\ncutlassfish, frost fish, hairtail\nshower room\nsorb, sorb apple\nbrass buttons, Cotula coronopifolia\nrock purslane\nbrotula\nChinese forget-me-not, Cynoglossum amabile\nmarker\nplatform, weapons platform\ncaraway, Carum carvi\nWynnea sparassoides\nChristmas tree\nswitch engine, donkey engine\ntampon\nhulk\nram\ntampion, tompion\nadobo\nanchovy pear, river pear\niron horse\nsweet coltsfoot, Petasites sagitattus\narcherfish, Toxotes jaculatrix\nhorseradish\nprotoavis\ncalamint\npommel\nPlatte River penstemon, Penstemon cyananthus\nsprig\ncotton rose, cudweed, filago\nblanquillo, tilefish\nstammel\nhood ornament\ncolumbo, American columbo, deer's-ear, deer's-ears, pyramid plant, American gentian\ngrain, caryopsis\nbarroom, bar, saloon, ginmill, taproom\nwater starwort\nschool ship, training ship\nsandblaster\nracer\nhornwort\nbeefsteak plant, Perilla frutescens crispa\nstorm window, storm sash\nwind chime, wind bell\npsaltery\nX-ray tube\nsnapdragon\nepiscia\ncaravansary, caravanserai, khan, caravan inn\nshowplace\nAmniota\nnorth island edelweiss, Leucogenes leontopodium\nbulwark\nflamethrower\nbit\ndress shirt, evening shirt\nmelter\nbloodroot, puccoon, redroot, tetterwort, Sanguinaria canadensis\nbignoniad\nnailhead\numbrella tent\nposthouse, post house\nlesser celandine, pilewort, Ranunculus ficaria\nplumcot\nBarbados gooseberry, blade apple\npip\nrouter\npussy's-paw, Spraguea umbellatum, Calyptridium umbellatum\ncabana\nignition switch\njacquard\nchicken Marengo\nfondue, fondu\nfloater\npop tent\nbowl, pipe bowl\npulasan, pulassan\ngeoduck\nleech, bloodsucker, hirudinean\nred valerian, French honeysuckle, Centranthus ruber\nCarolina spring beauty, Claytonia caroliniana\nbox, boxwood\narrow grass, Triglochin maritima\nkoto\narchaeornis\nyerba buena, Micromeria chamissonis, Micromeria douglasii, Satureja douglasii\nmojarra\nlace-flower vine, Alsobia dianthiflora, Episcia dianthiflora\nheartleaf, heart-leaf, Asarum shuttleworthii\nlock-gate\nbowl\nbung, spile\nmanger, trough\ncomber\nbuffalo nut, elk nut, oil nut\ntoe\nsaw set\nwhite rust\naggregate fruit, multiple fruit, syncarp\ncommon horehound, white horehound, Marrubium vulgare\nlavalava\nsalpiglossis\nfipple\ntrue fungus\ncommissariat, provisions, provender, viands, victuals\nspectroscope, prism spectroscope\ndesert plant, xerophyte, xerophytic plant, xerophile, xerophilous plant\nChina aster, Callistephus chinensis\nwhite-topped aster\nlobe\nscentless camomile, scentless false camomile, scentless mayweed, scentless hayweed, corn mayweed, Tripleurospermum inodorum, Matricaria inodorum\npenal institution, penal facility\nfustian\nblazing star, Mentzelia livicaulis, Mentzelia laevicaulis\nspine, backbone\nbeechnut\nsac fungus\nclubroot fungus, Plasmodiophora brassicae\nkrigia\nsteelyard, lever scale, beam scale\njetsam\nspear, lance, shaft\ndouble glazing\npurple chinese houses, innocense, Collinsia bicolor, Collinsia heterophylla\nstabilizer\nbeam balance\nleopard's-bane, leopardbane\ndiscus, saucer\ntraveler's tree, traveller's tree, ravenala, Ravenala madagascariensis\ncasement window\nsealskin\nbath\nsharkskin\nhanging, wall hanging\nsubstance\ncasing\nhopsacking, hopsack\nheliophila\nlouvered window, jalousie\npile driver\ncusk-eel\nMojave aster, Machaeranthera tortifoloia\nanise, anise plant, Pimpinella anisum\nselector, selector switch\ndiode, rectifying tube, rectifying valve\nmung, mung bean, green gram, golden gram, Vigna radiata, Phaseolus aureus\nclothesbrush\nwater\numbrella plant, Indian rhubarb, Darmera peltata, Peltiphyllum peltatum\nsea chub\nwild senna, Senna marilandica, Cassia marilandica\nwestern wall flower, Erysimum asperum, Cheiranthus asperus, Erysimum arkansanum\nsailcloth\nhoary puccoon, Indian paint, Lithospermum canescens\nshipworm, teredinid\nsilver grass\nAertex\nmelilotus, melilot, sweet clover\nspring balance, spring scale\ntilefish, Lopholatilus chamaeleonticeps\nhawkbit\nsavory\nlamb succory, dwarf nipplewort, Arnoseris minima\ngarambulla\nsheep plant, vegetable sheep, Raoulia lutescens, Raoulia australis\npruner, trimmer\nbush pea\ncattail\nwasabi\npotato wart fungus, Synchytrium endobioticum\nmaiden blue-eyed Mary, Collinsia parviflora\nbugbane\nice\nchafing gear\nchokecherry\nmunj, munja, Saccharum bengalense, Saccharum munja\nsights\nicebreaker, iceboat\nweather strip, weatherstrip, weather stripping, weatherstripping\nplantain lily, day lily\nair plant, epiphyte, aerophyte, epiphytic plant\nplume grass\ncramp, cramp iron\ncentrifuge, extractor, separator\npiste\nparsnip, Pastinaca sativa\nfalse miterwort, false mitrewort, Tiarella unifoliata\nchair of state\nsquash ball\npickerelweed, pickerel weed, wampee, Pontederia cordata\nsanicle, snakeroot\npallet\nsouari nut\nballistocardiograph, cardiograph\nmuller\nwhaler, whaling ship\ntriviality, trivia, trifle, small beer\nhalf-and-half\nrose apple\nthermograph\npraetorium, pretorium\ngromwell, Lithospermum officinale\nfender, wing\nmullein, flannel leaf, velvet plant\ncottage tent\nsnow plant, Sarcodes sanguinea\nprairie rocket\nchincapin, chinkapin, chinquapin\nsmall ship\nrocket, roquette, garden rocket, rocket salad, arugula, Eruca sativa, Eruca vesicaria sativa\nservice area\nsheep fescue, sheep's fescue, Festuca ovina\nsea kale, sea cole, Crambe maritima\nmicronutrient\npolychaete, polychete, polychaete worm, polychete worm\ntrestlework\nsparid, sparid fish\njumping bean, jumping seed, Mexican jumping bean\ngolden saxifrage, golden spleen\naerator\ngnathostome\nlean-to tent\nculotte\nylem\nketembilla, kitembilla, kitambilla\nricer\nshag\nblack flag, pirate flag, Jolly Roger, blackjack\ngang\nFrench honeysuckle, sulla, Hedysarum coronarium\nblack root rot fungus, Xylaria mali\nSinornis\nserranid fish, serranid\nlion's foot, gall of the earth, Nabalus serpentarius, Prenanthes serpentaria\nhorsehair\nbiennial\nmorgue, mortuary, dead room\nmombin\nbutternut\nstemless hymenoxys, Tetraneuris acaulis, Hymenoxys acaulis\nbroom grass\nlemon balm, garden balm, sweet balm, bee balm, beebalm, Melissa officinalis\nursinia\ninstillator\ntrichion, crinion\nwork-clothing, work-clothes\nsteam bath, steam room, vapor bath, vapour bath\nendive, witloof, Cichorium endivia\nlanseh, lansa, lansat, lanset\nbone-ash cup, cupel, refractory pot\ngenerator\ntumbler\nsqueaker\nboarding\nvoyager\ncat's foot, cat's feet, pussytoes, Antennaria dioica\noiler\nPersian violet, Exacum affine\njack\nasparagus bean, yard-long bean, Vigna unguiculata sesquipedalis, Vigna sesquipedalis\nalumroot, alumbloom\namaranth\ncoriander, coriander plant, Chinese parsley, cilantro, Coriandrum sativum\nvaulting\ndibble, dibber\nbigeye\nsoda fountain\ncarissa plum, natal plum\ncardinalfish\nrelish\nash-key\nsclerotinia\nsand stargazer\nham and eggs\nmailer\ngrab bag\nmustang mint, Monardella lanceolata\nquandong, quandang, quantong, native peach\npackinghouse\nsickroom\nhome, nursing home, rest home\nswimmer, natator, bather\nincrustation, encrustation\nsaltcellar\ncowpea, cowpea plant, black-eyed pea, Vigna unguiculata, Vigna sinensis\npunctum\nbreadroot, Indian breadroot, pomme blanche, pomme de prairie, Psoralea esculenta\nnaiad, water nymph\njawfish\nearthtongue, earth-tongue\nbrown root rot fungus, Thielavia basicola\ntablet-armed chair\nperiscope\nbadminton equipment\nlisle\nbloodleaf\nfalse nettle, bog hemp\nprairie gourd\npurslane\nmyrmecophile\nwild basil, cushion calamint, Clinopodium vulgare, Satureja vulgaris\nbunya bunya\npyxidium, pyxis\nstairway, staircase\nmoon\ncommon madia, common tarweed, Madia elegans\nlane\nceriman, monstera\nantimatter\nadzuki bean, adsuki bean, Vigna angularis, Phaseolus angularis\ntank top\nwoolly sunflower\nelectrograph\nribbon, typewriter ribbon\nbird's-nest fungus\nrendezvous\nwasher\nparsley, Petroselinum crispum\nraftsman, raftman, rafter\nhandwear, hand wear\npost and lintel\ngreen gentian, Frasera speciosa, Swertia speciosa\nbutterfish, stromateid fish, stromateid\nsweatbox\nfootball\nfighting chair\ndrum sander, electric sander, sander, smoother\nhead\ncurd\npipewort, Eriocaulon aquaticum\ngolden club, Orontium aquaticum\nnightshade\nGreek fire\nmarang\nwater jacket\ncowherb, cow cockle, Vaccaria hispanica, Vaccaria pyramidata, Saponaria vaccaria\nstemless golden weed, Stenotus acaulis, Haplopappus acaulis\nbloodberry, blood berry, rougeberry, rouge plant, Rivina humilis\nadult\nhawk's-beard, hawk's-beards\nmint sauce\ntrailing four o'clock, trailing windmills, Allionia incarnata\narrowleaf groundsel, Senecio triangularis\nmotherwort, Leonurus cardiaca\ngas-discharge tube\naccessory fruit, pseudocarp\nred maids, redmaids, Calandrinia ciliata\nceleriac, celery root, root celery, turnip-rooted celery, Apium graveolens rapaceum\nscuttle, coal scuttle\nkeepsake, souvenir, token, relic\nAmerican flag, Stars and Stripes, Star-Spangled Banner, Old Glory\nshot\ngoat grass, Aegilops triuncalis\nsquare\nsquash court\nspandex\narrow arum\ndecoder\nfilm\nstuff\ntooth fungus\nblack salsify, viper's grass, scorzonera, Scorzonera hispanica\nfrogbit, frog's-bit, Hydrocharis morsus-ranae\nwitch hazel, witch hazel plant, wych hazel, wych hazel plant\nhorse gram, horse grain, poor man's pulse, Macrotyloma uniflorum, Dolichos biflorus\nstander\npressing\nsling\nsteeper\nrock penstemon, cliff penstemon, Penstemon rupicola\nhickory nut\nblue-eyed African daisy, Arctotis stoechadifolia, Arctotis venusta\nhalogeton, Halogeton glomeratus\nmackinaw\nturnpike\nforest, woodland, timberland, timber\ncurio, curiosity, oddity, oddment, peculiarity, rarity\nmarlinespike, marlinspike, marlingspike\npennyroyal, American pennyroyal, Hedeoma pulegioides\nasclepiad\nsliding window\nbroadcloth\nleopard plant\nsword grass\ncylinder\nmilking machine\nmercy seat\nterrine\nbarberry\nWiffle, Wiffle Ball\ntupik, tupek, sealskin tent\ntiler\nbeading, beadwork\nseat\ncotton gin, gin\ncone\ntea ball\nlunula\nmold, mould\npeanut, peanut vine, Arachis hypogaea\nplane, planer, planing machine\nbuckwheat, Polygonum fagopyrum, Fagopyrum esculentum\ncinch, girth\ntelevision-camera tube, television pickup tube\nrijsttaffel, rijstaffel, rijstafel\nhot-rock penstemon, Penstemon deustus\nhandball court\ntavern, tap house\nsesame, benne, benni, benny, Sesamum indicum\nabandoned ship, derelict\nsea milkwort, sea trifoly, black saltwort, Glaux maritima\nbutter\nguardroom\nmetallic\nglop\nvelvet grass, Yorkshire fog, Holcus lanatus\nUnion Jack, Union flag\nbandicoot\neggplant, aubergine, brinjal, eggplant bush, garden egg, mad apple, Solanum melongena\nsgraffito\nblackfoot daisy, Melampodium leucanthum\nlove grass, bay grass\numbrellawort\nbutt, stub\nfish ladder\nacrylic\nmullion\nsamite\nlead, leading\nrosemaling\nflower arrangement, floral arrangement\nrazor clam, jackknife clam, knife-handle\nweeds, widow's weeds\ninstep\nbackwater\nvegetable sheep, sheep plant, Haastia pulvinaris\nhead gate\nplectranthus\nbloodwort\nwhite rocket, Diplotaxis erucoides\nbottlebrush\nproperty, prop\ndimity\nivory nut, vegetable ivory, apple nut\ninsectivore\napple of Peru, shoo fly, Nicandra physaloides\nbreechcloth, breechclout, loincloth\ncommemorative\ntarweed\nnorthern dune tansy, Tanacetum douglasii\nfeedlot\nshirting\ntimothy, herd's grass, Phleum pratense\nkilling field\ncascade penstemon, Penstemon serrulatus\ncoquilla nut\nlinsey-woolsey\ncockade\namniote\none-flowered wintergreen, one-flowered pyrola, Moneses uniflora, Pyrola uniflora\nfaille\ncutout\ngarnish\nscreed\nbubble\nbrazil nut, brazil\ngreenroom\nburr\numbellifer, umbelliferous plant\nways, shipway, slipway\nprong\nsunsuit\nlayer, bed\nEames chair\noptical bench\ncerecloth\nbabassu nut\nflagship\nsurfperch, surffish, surf fish\nbodkin\ncubeb\nlilac\nkanzu\nfalse bottom\nportulaca\nrattlesnake root, Prenanthes purpurea\nspadefish, angelfish, Chaetodipterus faber\ncaryophyllaceous plant\ngiant hyssop\npheasant under glass\nspreader\nsuksdorfia\nshear\ndrum, metal drum\npouched mole, marsupial mole, Notoryctus typhlops\nlanding, landing place\nbottom rot fungus, Corticium solani\ndrip, drip mold, drip mould\nmarinade\nthreadfin\nspike\nfoamflower, coolwart, false miterwort, false mitrewort, Tiarella cordifolia\nwatercourse, waterway\nsnake\ntetrapod\nrock plant\nreed canary grass, gardener's garters, lady's laces, ribbon grass, Phalaris arundinacea\nmiraculous food, manna, manna from heaven\nupholstery material\nflame flower, flame-flower, flameflower, Talinum aurantiacum\ntwill\npearlfish, pearl-fish\nshiner\nroulette ball\nsafflower, false saffron, Carthamus tinctorius\nspear, gig, fizgig, fishgig, lance\nweapon of mass destruction, WMD, W.M.D.\ncatananche\ndarkroom\napodiform bird\ntail fin, tailfin, fin\nplanter\nplumed tussock, toe toe, toetoe, Cortaderia richardii, Arundo richardii\nwell\nDar al-harb, House of War\nmaranta\npanhandle\nthrowster, thrower\nbartonia, Mentzelia lindleyi\ndwarf\nhog plum, yellow mombin\nwater speedwell, Veronica michauxii, Veronica anagallis-aquatica\nendemic\nlamination\npheasant's-eye, Adonis annua\ncommutator\ntoe\ndungeon\nfull skirt\npineapple weed, rayless chamomile, Matricaria matricarioides\nwreckage\nturmeric, Curcuma longa, Curcuma domestica\nStars and Bars, Confederate flag\npolo ball\nvegetable matter\ncondenser\nfreestone\ncooler, tank\nmarsh felwort, Swertia perennia\nhydrilla, Hydrilla verticillata\nprairie mimosa, prickle-weed, Desmanthus ilinoensis\ntarget, butt\nmullet, grey mullet, gray mullet\nhair shirt\nplankton\nyoke\nwater milfoil\npike\ngrave, tomb\nsapodilla, sapodilla plum, sapota\npaddle box, paddle-box\nmeadowgrass, meadow grass\nyellow salsify, Tragopogon dubius\nquandong nut\nninepin ball, skittle ball\nsmoking room\nchamois cress, Pritzelago alpina, Lepidium alpina\nburgrass, bur grass\ngrains of paradise, Guinea grains, Guinea pepper, melagueta pepper, Aframomum melegueta\ncorner\nAmerican frogbit, Limnodium spongia\nnight bird\nfiber, fibre, vulcanized fiber\nballroom, dance hall, dance palace\nemanation\nglasswort, samphire, Salicornia europaea\nmartingale\ndrupe, stone fruit\ntelegraph, telegraphy\nwhey\nvolleyball court\ngesneria\nresidue\ncutout\nenvirons, purlieu\nbatiste\nremains\nhedge nettle, dead nettle, Stachys sylvatica\nmonk's cloth\nseeder\ngalax, galaxy, wandflower, beetleweed, coltsfoot, Galax urceolata\nwater pimpernel\norach, orache\nbodkin, threader\nwoad\nfraxinella, dittany, burning bush, gas plant, Dictamnus alba\ntracery\nesophagoscope, oesophagoscope\nminelayer\ngerardia\nmamey, mammee, mammee apple\nJones' penstemon, Penstemon dolius\nspiral, volute\nsafflower seed\npress, printing press\nrange animal\nchervil, beaked parsley, Anthriscus cereifolium\nmoth bean, Vigna aconitifolia, Phaseolus aconitifolius\nrevetment\nsagebrush, sage brush\njeweler's glass\ncamlet\ncocoa plum, coco plum, icaco\nbus, jalopy, heap\nmilk vetch, milk-vetch\ntetrode\nalmond\nbell tent\nabutment\nbootleg\nsubmersible\nmullet\nnesting place\nbilly buttons\nParry's penstemon, Penstemon parryi\nscampi\nkohleria\ncomfrey, cumfrey\nfeijoa, pineapple guava\ntripletail\ntenon\nsolitude\nTexas star, Lindheimera texana\nsurgeonfish\nbonduc nut, nicker nut, nicker seed\nshoveler, shoveller\nserge\nslasher\nblue pimpernel, blue skullcap, mad-dog skullcap, mad-dog weed, Scutellaria lateriflora\nshoebox\nlettuce\nnavel, umbilicus, bellybutton, belly button, omphalos, omphalus\nsnailflower, snail-flower, snail flower, snail bean, corkscrew flower, Vigna caracalla, Phaseolus caracalla\nwall\naileron\ntitrator\nelectroencephalograph\nbuckram\nmeadow rue\nclingfish\nhobble skirt\nsemidesert\nneem seed\npeak, crown, crest, top, tip, summit\nmackintosh, macintosh\nfeatherfoil, feather-foil\nprairie rocket\npolling place, polling station\npot plant\ncommon unicorn plant, devil's claw, common devil's claw, elephant-tusk, proboscis flower, ram's horn, Proboscidea louisianica\nhenbane, black henbane, stinking nightshade, Hyoscyamus niger\ntransport ship\nglass cutter\nmolucca balm, bells of Ireland, Molucella laevis\nfire ship\ndrainplug\nIbero-mesornis\ncohune nut\nyerba mansa, Anemopsis californica\nbaby shoe\nmiterwort, mitrewort, bishop's cap\nsoy, soya, soybean, soya bean, soybean plant, soja, soja bean, Glycine max\nrobalo\npod, fuel pod\nwintergreen, pyrola\nleatherleaf saxifrage, Leptarrhena pyrolifolia\nempty\nlion's-ear, Leonotis nepetaefolia, Leonotis nepetifolia\nmagnetron\nsweet sultan, Centaurea imperialis\nsandbur, sandspur, field sandbur, Cenchrus tribuloides\nsweet sultan, Amberboa moschata, Centaurea moschata\nsandfish\ngargoyle\npeen\ntomato, love apple, tomato plant, Lycopersicon esculentum\nammobium\nsediment, deposit\nmagnetic bottle\nangelica, angelique\nnuclear reactor, reactor\ntrack\nklystron\ngarden cress\nthumb\nJob's tears\nfiesta flower, Pholistoma auritum, Nemophila aurita\nsapote, mammee, marmalade plum\nbeach grass\nfelt fungus, Septobasidium pseudopedicellatum\nmountain pride, Penstemon newberryi\nwindfall\ngolden-beard penstemon, Penstemon barbatus\nUstilaginoidea virens\ngallery\npatty, cake\nsweet unicorn plant, Proboscidea fragrans, Martynia fragrans\nX-ray machine\nswaddling clothes, swaddling bands\nold man of the mountain, alpine sunflower, Tetraneuris grandiflora, Hymenoxys grandiflora\nwhite-rayed mule's ears, Wyethia helianthoides\npivoting window\nroadblock, barricade\nknotgrass, Paspalum distichum\nimbrication, overlapping, lapping\nelectroplate\nelastic\narchitectural ornament\nsilk\nstevia\nkai apple\ndarter\nbreadbasket\ncrucible, melting pot\nwaterproof\nladies' tobacco, lady's tobacco, Antennaria plantaginifolia\ntile cutter\nparasite\nbur reed\nwild licorice, wild liquorice, American licorice, American liquorice, Glycyrrhiza lepidota\ncelestial point\nscrubber\nturfing daisy, Tripleurospermum tchihatchewii, Matricaria tchihatchewii\npepper-and-salt\nbarrenwort, bishop's hat, Epimedium grandiflorum\ncheese cutter\noligochaete, oligochaete worm\nclabber\nbascule\nmule's ears, Wyethia amplexicaulis\nfinger grass\nseafood Newburg\nlug\ncannabis, hemp\nhoodoo\nfeverroot, horse gentian, tinker's root, wild coffee, Triostium perfoliatum\nfruitlet\nawlwort, Subularia aquatica\nMay apple\nwellhead\nacrodont\npinwheel, Aeonium haworthii\nhagberry\ngempylid\nfluid\nlonganberry, dragon's eye\ngenipap, genipap fruit\nhemp agrimony, Eupatorium cannabinum\ncranberry\narchaeopteryx, archeopteryx, Archaeopteryx lithographica\npicture window\nchoo-choo\ncrossing\nstephanotis\ndaisybush, daisy-bush, daisy bush\nhardinggrass, Harding grass, toowomba canary grass, Phalaris aquatica, Phalaris tuberosa\nblack horehound, black archangel, fetid horehound, stinking horehound, Ballota nigra\nsweet flag, calamus, sweet calamus, myrtle flag, flagroot, Acorus calamus\nmolter, moulter\nclammyweed, Polanisia graveolens, Polanisia dodecandra\nmountain mint\nflorest's cineraria, Pericallis hybrida\nkingfisher daisy, Felicia bergeriana\nbubble and squeak\ncamise\nblue-eyed Mary, Collinsia verna\nescalope de veau Orloff\nholy place, sanctum, holy\nlighting\nbedpan\nurceole\nQueensland grass-cloth plant, Pipturus argenteus\nchyme\ngolden groundsel, golden ragwort, Packera aurea, Senecio aureus\npan\npyramidal tent\nbeach heather, poverty grass, Hudsonia tomentosa\ngiant\nmustard, table mustard\nbarbecued wing\nguar, cluster bean, Cyamopsis tetragonolobus, Cyamopsis psoraloides\nAlexander, Alexanders, black lovage, horse parsley, Smyrnium olusatrum\nmat, gym mat\nbarricade\nsurface ship\nbleacher\nlignosae\nreef\ntammy\nbrown cup\npinesap, false beachdrops, Monotropa hypopithys\nmoccasin, mocassin\nuniform\nwort\nstunt\nclimbing onion, Bowiea volubilis\nhame\nduck\nengine\nsolderer\nherringbone\nhorse balm, horseweed, stoneroot, stone-root, richweed, stone root, Collinsonia canadensis\nbird of paradise, Strelitzia reginae\npotato fungus, Pellicularia filamentosa, Rhizoctinia solani\nmandrake, devil's apples, Mandragora officinarum\nlorchel\nIndian lettuce\nbunting\nwhiting\nlyme grass\nrunway\nyellow-eyed grass\nacorn tube\nservant, retainer\nthree-way switch, three-point switch\ncommon amsinckia, Amsinckia intermedia\nfig leaf\npink disease fungus, Corticium salmonicolor\npacemaker, artificial pacemaker\noverhang\ntail gate\nRydberg's penstemon, Penstemon rydbergii\npolemonium\npyrethrum, Dalmatian pyrethrum, Dalmatia pyrethrum, Tanacetum cinerariifolium, Chrysanthemum cinerariifolium\ndandelion, blowball\nhorehound\ndecker\nsiskiyou lewisia, Lewisia cotyledon\nsaprobe\nstud, rivet\nfenugreek, Greek clover, Trigonella foenumgraecum\nnailbrush\ndeck\ncaparison, trapping, housing\ngrugru nut\nwormwood\ncombretum\nupset, swage\nmoo goo gai pan\nfish stick, fish finger\nwhite snakeroot, white sanicle, Ageratina altissima, Eupatorium rugosum\nlarge-flowered fiddleneck, Amsinckia grandiflora\ncleat\ndraba\nVirginian stock, Virginia stock, Malcolmia maritima\neolith\noeil de boeuf\ndropseed, drop-seed\nhorseradish, horse radish, red cole, Armoracia rusticana\nwood mint\ntamarind, tamarindo\ngathered skirt\nfalse foxglove, Aureolaria pedicularia, Gerardia pedicularia\ngambling house, gambling den, gaming house\nstamping machine, stamper\ngrogram\nyellow jack\ncharm, good luck charm\ndagga, Cape dagga, red dagga, wilde dagga, Leonotis leonurus\noriganum\nsalsify, oyster plant, vegetable oyster, Tragopogon porrifolius\ncottonweed\ncharcoal burner\nGyromitra fastigiata, Gyromitra brunnea\nvertical tail\nzooplankton\niron, branding iron\nsphere\nsubmersible, submersible warship\nstorage ring\neelgrass, grass wrack, sea wrack, Zostera marina\nscythe\nroulade\nshortia\ntollgate, tollbar\nChristmas bells\nwater horehound, Lycopus americanus\ncobia, Rachycentron canadum, sergeant fish\ncostmary, alecost, bible leaf, mint geranium, balsam herb, Tanacetum balsamita, Chrysanthemum balsamita\nbutton\nrattlesnake root\nsmoke tree, smoke bush\nninon\ndust bowl\ndiapensia\nribbon, thread\nmarble\nmoleskin\nhead\ncoffee fungus, Pellicularia koleroga\nramekin, ramequin\nnonpasserine bird\nbeater\ntwitterer\nelevator\ndouble-hung window\nantiquity\nsesbania\nbattle flag\nschizocarp\ncrash barrier\ndiathermy machine\nbadminton court\nfig marigold, pebble plant\ncloakroom, coatroom\nlacrosse ball\nmicrobalance\nbramble\nacanthus\nwinter cress\ncape marigold, sun marigold, star of the veldt\ncover plate\nravehook\nhold, keep\ntobacco, tobacco plant\ncupflower, nierembergia\ncoral drops, Bessera elegans\nbutterfly flower, poor man's orchid, schizanthus\npome, false fruit\nguide\nstainer\ncelery, cultivated celery, Apium graveolens dulce\nackee, akee\nscarlet bugler, Penstemon centranthifolius\ngasteromycete, gastromycete\ntorpedo boat\nrider\nvelvet plant, purple velvet plant, royal velvet plant, Gynura aurantiaca\ncenterpiece, centrepiece\nbandstand, outdoor stage, stand\nbreak seal\ntricolor, tricolour\nclavichord\nprokaryote, procaryote\nsolute\nwaterleaf\nhonesty, silver dollar, money plant, satin flower, satinpod, Lunaria annua\ntree cricket\nfield cricket, Acheta assimilis\nEuropean house cricket, Acheta domestica\nmole cricket\nmock turtle soup\neggdrop soup\ngreen pea soup, potage St. Germain\nScotch broth\noxtail soup\nvichyssoise\nturtle soup, green turtle soup\njulienne\nsoup du jour\nalphabet soup\ncocky-leeky\nmulligatawny\npsilophyton\npsilophyte\ncormous plant\ngeophyte\ncreeper\ndeciduous plant\nevergreen, evergreen plant\ncultivated plant\nhalophyte\nbearnaise\nbread sauce\npoulette\nhard sauce\nhorseradish sauce, sauce Albert\nsnail butter\ncaper sauce\nwine sauce\nChinese brown sauce, brown sauce\nSoubise, white onion sauce\nNantua, shrimp sauce\npeach sauce\ncurry sauce\ndemiglace, demi-glaze\npepper sauce, Poivrade\nanchovy sauce\ngravy\nravigote, ravigotte\nmustard sauce\nbrown sauce, sauce Espagnole\nplum sauce\ncocktail sauce, seafood sauce\nwhite sauce, bechamel sauce, bechamel\naioli, aioli sauce, garlic sauce\nmound, hill, pitcher's mound\nrosin bag\npine-tar rag\ncrossjack, mizzen course\nsugar, refined sugar\nfiberscope\npotato tuberworm, Phthorimaea operculella\nwebworm\nbeet armyworm, Spodoptera exigua\nbollworm\nfall armyworm, Spodoptera frugiperda\ncankerworm\nlappet caterpillar\ncorn borer, Pyrausta nubilalis\ncercaria\nbladder worm\nwiggler, wriggler\nwireworm\nleptocephalus\nmealworm\naphid lion, aphis lion\nhellgrammiate, dobson\nstrawworm, jointworm\ngrub\nlinear leaf, elongate leaf\ndirk\ngas meter, gasometer\nread-only memory, ROM, read-only storage, fixed storage\ngirandole, girandola\ntupelo, tupelo tree\nhall\njump suit, jumpsuit\ndressing case\nsnare, gin, noose\ncork tree, Erythrina vespertilio\ncittern, cithern, cither, citole, gittern\nshirtwaist, shirtwaister\noctant\nflea beetle\ntree of knowledge\nhazel, hazel tree, Pomaderris apetala\nnakedwood\nfever tree\narbor\ntreelet\nteak, Tectona grandis\nblack mangrove, Aegiceras majus\ncalabash, calabash tree, Crescentia cujete\nChristmas bush, Christmas tree, Ceratopetalum gummiferum\nmarmalade tree, mammee, sapote, Pouteria zapota, Calocarpum zapota\ngutta-percha tree\nBrazilian pepper tree, Schinus terebinthifolius\nsoapberry, soapberry tree\nquandong, quandang, quandong tree, Eucarya acuminata, Fusanus acuminatus\npepper tree, Kirkia wilmsii\ntrifoliate orange, trifoliata, wild orange, Poncirus trifoliata\nlanseh tree, langsat, langset, Lansium domesticum\nsilver ash\nsatinwood, satinwood tree, Chloroxylon swietenia\nchinaberry, chinaberry tree, China tree, Persian lilac, pride-of-India, azederach, azedarach, Melia azederach, Melia azedarach\nmahogany, mahogany tree\nSpanish tamarind, Vangueria madagascariensis\nlemonwood, lemon-wood, lemonwood tree, lemon-wood tree, Psychotria capensis\nopepe, Nauclea diderrichii, Sarcocephalus diderrichii\ntipu, tipu tree, yellow jacaranda, pride of Bolivia\nscarlet wisteria tree, vegetable hummingbird, Sesbania grandiflora\ncarib wood, Sabinea carinalis\nred sandalwood, red sanders, red sanderswood, red saunders, Pterocarpus santalinus\nbloodwood tree, kiaat, Pterocarpus angolensis\nJamaica dogwood, fish fuddle, Piscidia piscipula, Piscidia erythrina\nnecklace tree\nmillettia\ngliricidia\ncocobolo, Dalbergia retusa\nkingwood, kingwood tree, Dalbergia cearensis\ndhak, dak, palas, Butea frondosa, Butea monosperma\nangelim, andelmin\npalo verde, Parkinsonia florida, Cercidium floridum\nmsasa, Brachystegia speciformis\nshingle tree, Acrocarpus fraxinifolius\nbrazilwood, peachwood, peach-wood, pernambuco wood, Caesalpinia echinata\ncabbage tree, grass tree, Cordyline australis\nidesia, Idesia polycarpa\nHydnocarpus laurifolia, Hydnocarpus wightiana\nketembilla, kitembilla, kitambilla, ketembilla tree, Ceylon gooseberry, Dovyalis hebecarpa\ndipterocarp\nsouari, souari nut, souari tree, Caryocar nuciferum\nrose chestnut, ironwood, ironwood tree, Mesua ferrea\nwild fig, Clusia flava\nclusia\nlaurelwood, lancewood tree, Calophyllum candidissimum\ncalaba, Santa Maria tree, Calophyllum calaba\nbutton tree, button mangrove, Conocarpus erectus\ngiant chinkapin, golden chinkapin, Chrysolepis chrysophylla, Castanea chrysophylla, Castanopsis chrysophylla\nscrub beefwood, beefwood, Stenocarpus salignus\nwheel tree, firewheel tree, Stenocarpus sinuatus\nsilver tree, Leucadendron argenteum\nobeche, obechi, arere, samba, Triplochiton scleroxcylon\nmayeng, maple-leaved bayur, Pterospermum acerifolium\nbreakax, breakaxe, break-axe, Sloanea jamaicensis\nquandong, quandong tree, Brisbane quandong, silver quandong tree, blue fig, Elaeocarpus grandis\nshaving-brush tree, Pseudobombax ellipticum\npuka, Meryta sinclairii\ndita, dita bark, devil tree, Alstonia scholaris\nice-cream bean, Inga edulis\nconacaste, elephant's ear, Enterolobium cyclocarpa\ngranadilla tree, granadillo, Brya ebenus\nzebrawood, zebrawood tree\nwinter's bark, winter's bark tree, Drimys winteri\nGuinea pepper, negro pepper, Xylopia aethiopica\nblack olive, ripe olive\nbladderpod\nshoulder\nthorax\nhaunch\nloin, lumbus\nhindquarters, croup, croupe, rump\nshank\nhip\nback, dorsum\nbuttocks, nates, butt, backside, bum, buns, can, fundament, hindquarters, hind end, keister, posterior, prat, rear, rear end, rump, stern, seat, tail, tail end, tooshie, tush, bottom, behind, derriere\ntoe\nroot, tooth root\nhead\nvascular structure\nalveolar bed\nnucleolus organizer, nucleolus organiser, nucleolar organizer, nucleolar organiser\nrib\nneural structure\nglans\nconcha\ntooth\nlimiter, clipper\nred cabbage\nyellow chamomile, golden marguerite, dyers' chamomile, Anthemis tinctoria\nfiber optic cable, fibre optic cable\nbinnacle\nconference center, conference house\nstudent center\nservice club\nburn center\ncockpit\nsporophyte\nsickle, reaping hook, reap hook\nhindrance, hinderance, hitch, preventive, preventative, encumbrance, incumbrance, interference\nbar\nassembly plant\nblock plane\ngarlic chive\nforeland\nstevia\nVictrola\nsafety valve, relief valve, escape valve, escape\nlight machine gun\nsawfish\ndefibrillator\nmashie, five iron\nenvelope\nhood, cap\nsheath, case\ntheca, sac\nshell, eggshell\ncrust, incrustation, encrustation\nvesture\npericarp, seed vessel\nindumentum, indument\nperidium\nskim\nslough\nblanket, mantle\nbark\ngas holder, gasometer\nasphodel\nhelmet orchid, greenhood\nslipper spurge, slipper plant\nscrewtop\nsnuffer\nfinger plate, escutcheon, scutcheon\nasterism\nsaxhorn\ncrankcase\nriot gun\nwater dropwort, hemlock water dropwort, Oenanthe crocata\nfool's parsley, lesser hemlock, Aethusa cynapium\nlantana\nvarnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua\neastern poison oak, Toxicodendron quercifolium, Rhus quercifolia, Rhus toxicodenedron\nwestern poison oak, Toxicodendron diversilobum, Rhus diversiloba\nsnowberry, common snowberry, waxberry, Symphoricarpos alba\ndogbane\nhellebore\naconite\ndiggings, digs\nbore, bore-hole, drill hole\ndelf\nwell\npit, quarry, stone pit\npool\nmine\nroot cellar, cellar\nsaprophyte, saprophytic organism\nfire bell\nsambar, sambur, Cervus unicolor\nqueen\npunnet\nbullnose, bullnosed plane\nadhesive bandage\nsling, scarf bandage, triangular bandage\nwattmeter\nmetal detector\ndrain basket\npinnacle\ntroop carrier, troop transport\nwinter hazel, flowering hazel\npollen tube\naril\nyard\nveal parmesan, veal parmigiana\nroughage, fiber\nmilk\nbreadstuff\nfrozen food, frozen foods\nhorn\nsiren\nduckpin\nnoria\ntea, afternoon tea, teatime\ndrainboard, draining board\nsideboard\nchopping board, cutting board\nsurfboard\nbreadboard, bread board\nkneeler\nbulletin board, notice board\nmortarboard, hawk\nfloorboard, floor board\nironing board\ndrafting board, drawing board\ncow pasture\nsquawk box, squawker, intercom speaker\niron lung\nrattrap\nscalpel\nwater cooler\nvaporizer, vaporiser\ntilter\nsuction cup\nstemmer\nsounder\nshooting stick\npaper feed\nKinetoscope\ngroover\ngas fixture\nfumigator\ndepressor\ndeflector\ndamper, muffler\ncontraceptive, preventive, preventative, contraceptive device, prophylactic device, birth control device\nautopilot, automatic pilot, robot pilot\naspergill, aspersorium\nagglomerator\ntoolshed, toolhouse\ndrawknife, drawshave\nshowboat\naudiotape\ntie rack\nweathercock\ngroats\nhearthrug\nblack box\nrain gauge, rain gage, pluviometer, udometer\nwhispering gallery, whispering dome\nice ax, ice axe, piolet\ngrenade\nspittoon, cuspidor\nbumper guard\nsilage, ensilage\nchronoscope\nglove compartment\nfreckle, lentigo\nvanilla bean\nmedlar\nhorseshoe\nradio-phonograph, radio-gramophone\naudiometer, sonometer\npolling booth\nabalone, ear-shell\ncatapult, launcher\njack-in-the-box\nrail\nspeculum\nparsnip\npoppy seed\nbaby powder\nicetray\nknitting machine\ncartridge\nsleigh bell, cascabel\nsod house, soddy, adobe house\nturmeric\nbaked Alaska\nCD drive\npilot light, pilot lamp, indicator lamp\nboomerang, throwing stick, throw stick\nvideo recording, video\nmarshmallow\neiderdown\nfoglamp\nash-pan\ndigester\nhypodermic needle\ntrousseau\ncoffee filter\nmilk float\naltimeter\nfranking machine\nnest egg\ncar bomb\ncroquet equipment\nmillet\nsawhorse, horse, sawbuck, buck\nposthole digger, post-hole digger\nhigh tea\nlightning rod, lightning conductor\nmedlar\npier glass, pier mirror\ngranadilla, sweet granadilla, Passiflora ligularis\nsifter\nsea feather\ntorque converter\nfencing mask, fencer's mask\noscillograph\nmusic box, musical box\nGreen Beret\ncling film, clingfilm, Saran Wrap\ncatchment\narrow\nGatling gun\ncylinder lock\npepper, peppercorn\njunk\nandiron, firedog, dog, dog-iron\ndensitometer\nstabilizer bar, anti-sway bar\nheat lamp, infrared lamp\ngouge\nlowboy\ntollbooth, tolbooth, tollhouse\nring\nsymbol\nplaying field, athletic field, playing area, field\nbamboo\naisle, gangway\nasphalt\nflatware\nmoss\nseafood\nfreshwater fish\nsaltwater fish\ndriveway, drive, private road\norgan\nexternal body part\nsense organ, sensory receptor, receptor\nnose, olfactory organ\neye, oculus, optic\near\nextremity, appendage, member\nextremity\nlimb\nvertebrate foot, pedal extremity\nneck, cervix\nface, human face\nfeature, lineament\ncheek\nbrow, forehead\nfrost, hoarfrost, rime\ntundra\nwaterfall, falls\nchannel\nbay, embayment\nsea\nlake\nwaterway\nstream, watercourse\ninlet, recess\npond, pool\nloch\nlagoon, laguna, lagune\nbayou\ntarn\nreservoir, artificial lake, man-made lake\nrapid\nbrook, creek\nriver\nfjord, fiord\ncove\nslum, slum area\nbadlands\nwetland\nbog, peat bog\nmarsh, marshland, fen, fenland\ncrop\nbud\nbassist\npianist, piano player\nviolinist, fiddler\nsuite, rooms\nmud, clay\nring, band\nresidential district, residential area, community\npendant, pendent\ngolfer, golf player, linksman\nvolleyball player\nlotus, white lotus, Egyptian water lily, white lily, Nymphaea lotus\nlotus, Indian lotus, sacred lotus, Nelumbo nucifera\ncake\ncupcake\nbirthday cake\ntorte\nwedding cake, bridecake\ncookie, cooky, biscuit\nchocolate cake\nkeelboat\ncountertop\nlawn\nprairie\nescalator, moving staircase, moving stairway\nconvenience food\nmeat\njunk food\nchocolate\ncut, cut of meat\nmonoplane\nsavanna, savannah\nhayfield, meadow\nanimal material\nplant material, plant substance\nwaste, waste material, waste matter, waste product\nearth, ground\nmineral\nchemical, chemical substance\nbone, osseous tissue\nhorn\nrubbish, trash, scrap\nmoraine\ndebris, dust, junk, rubble, detritus\nexplosive\nlow explosive\nfirework, pyrotechnic\nwood\nhardwood\naqueduct\nnarrowbody aircraft, narrow-body aircraft, narrow-body\nday lily, daylily\nboulder, bowlder\nbedrock\npebble\nstalactite\ncanal\nminibike, motorbike\npaving stone\nsuburb, suburbia, suburban area\nswimmer\npagoda\nbranch\nstorm, violent storm\naurora\nafterglow\ncondensation, condensate\nthunderstorm, electrical storm, electric storm\nblizzard, snowstorm\ndew\nsewing, stitchery\ncrochet, crocheting\nprecipitation, downfall\ntransportation system, transportation, transit\ndepository, deposit, depositary, repository\ncourse\nrange\npublic transit\nmuseum\ngolf course, links course\npractice range\nfiring range, target range\nglass\ncrystal\ngem, gemstone, stone\ndisco, discotheque\nmodel, simulation\npicture, image, icon, ikon\ndrawing\nfigure\nplan, architectural plan\nfigurine, statuette\nsnowman\nart paper\nnewspaper, newsprint\nlife\nwildlife\neyelash, lash, cilium\nmane, head of hair\neyebrow, brow, supercilium\nbrigantine, hermaphrodite brig\ngalleon\nbrig\narcade\ncorridor\nhallway, hall\nterminal, terminus, depot\npower station, power plant, powerhouse\nrailway station, railroad station, railroad terminal, train station, train depot\nwind farm, wind park, wind energy facility\nlane\nwalk, walkway, paseo\nboardwalk\npatrol boat, patrol ship\nfishing boat, fishing smack, fishing vessel\nriparian forest\nisland\ncape, ness\narchipelago\nblack and white, monochrome\nshopping\nmerchandise, ware, product\nterrain\npark, parkland\nball field, baseball field, diamond\nlot\nparking lot, car park, park, parking area\ncumulus, cumulus cloud\nvisual signal\nlight\ntoken, item\ngeographic point, geographical point\nposition, place\nport\nlandmark\nquilting\npaddy, paddy field, rice paddy\nbasilica\nfloodplain, flood plain\nalley, alleyway, back street\nhacienda\nacrylic, acrylic paint\ntrench\nmarking\ncrisscross, cross, mark\npath, track, course\ntrail\npoi\nenvironment, environs, surroundings, surround\ncelestial body, heavenly body\nplanet\ncrypt\npaved surface\nvineyard, vinery\npack animal, sumpter\ngully\ntopping\nsink\npasta, alimentary paste\nnoodle\ncrocus\nbackyard\ntrunk, tree trunk, bole\ntable linen, napery\nhorny structure, unguis\nphotographer, lensman\nchemical element, element\nmetallic element, metal\npublication\ngrocer\nposter, posting, placard, notice, bill, card\n"
  },
  {
    "path": "src/ingest/enrichment/socratic/prompts/tencent-ml-images.txt",
    "content": "category_index\tcategory_id\tindex_of_parent_category\tcategory name\n0\tn00002452\t-1\tthing\n1\tn00020827\t-1\tmatter\n2\tn00002684\t-1\tobject, physical object\n3\tn11425580\t-1\tatmospheric phenomenon\n4\tn05220461\t0\tbody part\n5\tn09225146\t0\tbody of water, water\n6\tn05538625\t4\thead, caput\n7\tn01900150\t4\thair\n8\tn05225602\t4\tstructure, anatomical structure, complex body part, bodily structure, body structure\n9\tn05418717\t8\tvein, vena, venous blood vessel\n10\tn05302499\t8\tmouth, oral cavity, oral fissure, rima oris\n11\tn05578095\t8\theel\n12\tn09475179\t5\twatercourse\n13\tn09376198\t5\tocean\n14\tn14877585\t1\tgas\n15\tn15046900\t1\tsolid\n16\tn00019613\t1\tsubstance\n17\tn00021265\t1\tfood, nutrient\n18\tn15067877\t14\ttear gas, teargas, lacrimator, lachrymator\n19\tn09436708\t14\tsky\n20\tn14915184\t15\tice, water ice\n21\tn07555863\t15\tfood, solid food\n22\tn07850329\t21\tcheese\n23\tn07849336\t21\tyogurt, yoghurt, yoghourt\n24\tn07705711\t21\tproduce, green goods, green groceries, garden truck\n25\tn07622061\t21\tbaked goods\n26\tn07594066\t21\tcake mix\n27\tn07854982\t22\tEmmenthal, Emmental, Emmenthaler, Emmentaler\n28\tn07852833\t22\tCamembert\n29\tn07852614\t22\tBrie\n30\tn07854184\t22\tmozzarella\n31\tn07852229\t22\tStilton\n32\tn07851443\t22\tdouble cream\n33\tn07705931\t24\tedible fruit\n34\tn07707451\t24\tvegetable, veggie, veg\n35\tn07752966\t33\tcurrant\n36\tn07760859\t33\tcustard apple\n37\tn07747055\t33\tcitrus, citrus fruit, citrous fruit\n38\tn07754684\t33\tjackfruit, jak, jack\n39\tn07768694\t33\tpomegranate\n40\tn07764847\t33\tavocado, alligator pear, avocado pear, aguacate\n41\tn07768858\t33\tprickly pear\n42\tn07739125\t33\tapple\n43\tn07746551\t33\tcarambola, star fruit\n44\tn07753113\t33\tfig\n45\tn07763987\t33\tmangosteen\n46\tn07748574\t33\ttangelo, ugli, ugli fruit\n47\tn07751451\t33\tplum\n48\tn07762244\t33\tpapaya\n49\tn07750872\t33\tapricot\n50\tn07742704\t33\tberry\n51\tn07765208\t33\telderberry\n52\tn07763792\t33\tloquat, Japanese plum\n53\tn07767847\t33\tpear\n54\tn07766173\t33\tlitchi, litchi nut, litchee, lichi, leechee, lichee, lychee\n55\tn07751004\t33\tpeach\n56\tn07760153\t33\tmuscat, muscatel, muscat grape\n57\tn07758680\t33\tgrape\n58\tn07753592\t33\tbanana\n59\tn07751280\t33\tpitahaya\n60\tn07769731\t33\trambutan, rambotan\n61\tn07763629\t33\tkiwi, kiwi fruit, Chinese gooseberry\n62\tn07755411\t33\tmelon\n63\tn07754451\t33\tbreadfruit\n64\tn07753275\t33\tpineapple, ananas\n65\tn07764155\t33\tmango\n66\tn07765073\t33\tdate\n67\tn07762114\t33\tpapaw, pawpaw\n68\tn07762913\t33\tdurian\n69\tn07753743\t33\tpassion fruit\n70\tn07765999\t33\tjujube, Chinese date, Chinese jujube\n71\tn07765361\t33\tguava\n72\tn07752377\t33\tdried fruit\n73\tn07757132\t33\tcherry\n74\tn07769584\t33\tquince\n75\tn07751148\t33\tnectarine\n76\tn07761141\t36\tcherimoya, cherimolla\n77\tn07761309\t36\tsoursop, guanabana\n78\tn07749731\t37\tlime\n79\tn07747951\t37\tmandarin, mandarin orange\n80\tn07749446\t37\tkumquat\n81\tn07747607\t37\torange\n82\tn07749582\t37\tlemon\n83\tn07750449\t37\tcitron\n84\tn07749969\t37\tgrapefruit\n85\tn07750146\t37\tpomelo, shaddock\n86\tn07748157\t79\tclementine\n87\tn07748416\t79\ttangerine\n88\tn07748276\t79\tsatsuma\n89\tn07748912\t81\tsweet orange\n90\tn07748753\t81\tbitter orange, Seville orange, sour orange\n91\tn07749192\t89\tnavel orange\n92\tn07749312\t89\tValencia orange\n93\tn07739344\t42\tcrab apple, crabapple\n94\tn07739506\t42\teating apple, dessert apple\n95\tn07742313\t94\tGranny Smith\n96\tn07740220\t94\tDelicious\n97\tn07740954\t94\tMcIntosh\n98\tn07740461\t96\tRed Delicious\n99\tn07740342\t96\tGolden Delicious, Yellow Delicious\n100\tn07745940\t50\tstrawberry\n101\tn07767171\t50\tmulberry\n102\tn07744246\t50\tcurrant\n103\tn07744057\t50\tlingonberry, mountain cranberry, cowberry, lowbush cranberry\n104\tn07744811\t50\tblackberry\n105\tn07744682\t50\tred currant\n106\tn07745466\t50\traspberry\n107\tn07743902\t50\tcranberry\n108\tn07746334\t50\tacerola, barbados cherry, surinam cherry, West Indian cherry\n109\tn07746186\t50\tpersimmon\n110\tn07743544\t50\tblueberry\n111\tn07743224\t50\tbilberry, whortleberry, European blueberry\n112\tn07755707\t62\tmuskmelon, sweet melon\n113\tn07756951\t62\twatermelon\n114\tn07755929\t62\tcantaloup, cantaloupe\n115\tn07757990\t73\tsour cherry\n116\tn07757312\t73\tsweet cherry, black cherry\n117\tn07757511\t73\tbing cherry\n118\tn07734744\t34\tmushroom\n119\tn07719213\t34\tasparagus\n120\tn07768423\t34\tplantain\n121\tn07735510\t34\tpumpkin\n122\tn07718472\t34\tcucumber, cuke\n123\tn07710283\t34\troot vegetable\n124\tn07713395\t34\tcruciferous vegetable\n125\tn07708398\t34\traw vegetable, rabbit food\n126\tn07710007\t34\tsolanaceous vegetable\n127\tn07718747\t34\tartichoke, globe artichoke\n128\tn07708798\t34\tlegume\n129\tn07723039\t34\tleek\n130\tn07715561\t34\tsquash\n131\tn07709333\t34\tgreens, green, leafy vegetable\n132\tn07730406\t34\tcelery\n133\tn07730033\t34\tcardoon\n134\tn07733394\t34\tgumbo, okra\n135\tn07713267\t34\tpieplant, rhubarb\n136\tn07722217\t34\tonion\n137\tn07817871\t34\tfennel, Florence fennel, finocchio\n138\tn07736813\t123\ttaro, taro root, cocoyam, dasheen, edda\n139\tn07719839\t123\tbeet, beetroot\n140\tn07712267\t123\tyam\n141\tn07730207\t123\tcarrot\n142\tn07710616\t123\tpotato, white potato, Irish potato, murphy, spud, tater\n143\tn07710952\t142\tbaked potato\n144\tn07711569\t142\tmashed potato\n145\tn07711080\t142\tfrench fries, french-fried potatoes, fries, chips\n146\tn07713763\t124\tmustard, mustard greens, leaf mustard, Indian mustard\n147\tn07713895\t124\tcabbage, chou\n148\tn07733567\t124\tkohlrabi, turnip cabbage\n149\tn07715103\t124\tcauliflower\n150\tn07715221\t124\tbrussels sprouts\n151\tn07715407\t124\tbroccoli rabe, broccoli raab\n152\tn07714990\t124\tbroccoli\n153\tn07735687\t124\tradish\n154\tn07735803\t124\tturnip\n155\tn07714188\t147\tcollards, collard greens\n156\tn07714448\t147\tbok choy, bok choi\n157\tn07714895\t147\tsavoy cabbage, savoy\n158\tn07714571\t147\thead cabbage\n159\tn07714078\t147\tkale, kail, cole\n160\tn07720442\t126\tpepper\n161\tn07734017\t126\ttomato\n162\tn07713074\t126\teggplant, aubergine, mad apple\n163\tn07734555\t126\ttomatillo, husk tomato, Mexican husk tomato\n164\tn07720615\t160\tsweet pepper\n165\tn07721325\t160\thot pepper\n166\tn07720875\t164\tbell pepper\n167\tn07721195\t164\tpimento, pimiento\n168\tn07721018\t164\tgreen pepper\n169\tn07721456\t165\tchili, chili pepper, chilli, chilly, chile\n170\tn07722052\t165\ttabasco, red pepper\n171\tn07721942\t169\tcayenne, cayenne pepper\n172\tn07721678\t169\tjalapeno, jalapeno pepper\n173\tn07734292\t161\tcherry tomato\n174\tn07734183\t161\tbeefsteak tomato\n175\tn07724943\t128\tbean, edible bean\n176\tn07725376\t128\tpea\n177\tn07726095\t128\tchickpea, garbanzo\n178\tn07725255\t128\tlentil\n179\tn07729485\t175\tsoy, soybean, soya, soya bean\n180\tn07726796\t175\tcommon bean\n181\tn07727458\t180\tblack bean, turtle bean\n182\tn07727048\t180\tkidney bean\n183\tn07727578\t180\tfresh bean\n184\tn07727868\t183\tgreen bean\n185\tn07728804\t183\tshell bean\n186\tn07728053\t184\tsnap bean, snap\n187\tn07728585\t184\tharicot vert, haricots verts, French bean\n188\tn07728181\t184\tstring bean\n189\tn07729384\t185\tfava bean, broad bean\n190\tn07729828\t185\tgreen soybean\n191\tn07725531\t176\tgreen pea, garden pea\n192\tn07725789\t191\tsnow pea, sugar pea\n193\tn07725888\t191\tsugar snap pea\n194\tn07715721\t130\tsummer squash\n195\tn07717070\t130\twinter squash\n196\tn07716906\t194\tspaghetti squash\n197\tn07716358\t194\tzucchini, courgette\n198\tn07716034\t194\tyellow squash\n199\tn07717556\t195\tbutternut squash\n200\tn07717410\t195\tacorn squash\n201\tn07720277\t131\tchard, Swiss chard, spinach beet, leaf beet\n202\tn07736256\t131\tturnip greens\n203\tn07723330\t131\tsalad green, salad greens\n204\tn07719616\t131\tbean sprout\n205\tn07736692\t131\tspinach\n206\tn07733712\t131\tlamb's-quarter, pigweed, wild spinach\n207\tn07732747\t203\tcress\n208\tn07730855\t203\tchicory, curly endive\n209\tn07731587\t203\tchicory escarole, endive, escarole\n210\tn07731006\t203\tradicchio\n211\tn07723559\t203\tlettuce\n212\tn07724654\t211\tleaf lettuce, loose-leaf lettuce\n213\tn07724269\t211\tcrisphead lettuce, iceberg lettuce, iceberg\n214\tn07724492\t211\tcos, cos lettuce, romaine, romaine lettuce\n215\tn07722485\t136\tgreen onion, spring onion, scallion\n216\tn07723177\t136\tshallot\n217\tn07722888\t136\tpurple onion, red onion\n218\tn07639069\t25\tdoughnut, donut, sinker\n219\tn07679356\t25\tbread, breadstuff, staff of life\n220\tn07682197\t219\tcrouton\n221\tn07680517\t219\tbreadstick, bread-stick\n222\tn07695878\t219\tsoft pretzel\n223\tn07685730\t219\trye bread\n224\tn07682316\t219\tdark bread, whole wheat bread, whole meal bread, brown bread\n225\tn07684517\t219\traisin bread\n226\tn07680761\t219\tbrown bread, Boston brown bread\n227\tn07681691\t219\tcinnamon bread\n228\tn07684600\t219\tquick bread\n229\tn07684164\t219\tmatzo, matzoh, matzah, unleavened bread\n230\tn07686720\t219\tsour bread, sourdough bread\n231\tn07680932\t219\tbun, roll\n232\tn07687211\t219\twhite bread, light bread\n233\tn07681450\t219\tchallah, hallah\n234\tn07683786\t219\tloaf of bread, loaf\n235\tn07695742\t219\tpretzel\n236\tn07682477\t219\tEnglish muffin\n237\tn07686873\t219\ttoast\n238\tn07684289\t219\tnan, naan\n239\tn07683490\t219\tchapatti, chapati\n240\tn07682808\t219\tgarlic bread\n241\tn07690585\t228\tYorkshire pudding\n242\tn07684938\t228\tbanana bread\n243\tn07690892\t228\tscone\n244\tn07685399\t228\tIrish soda bread\n245\tn07693972\t228\tbiscuit\n246\tn07690273\t228\tmuffin, gem\n247\tn07691091\t228\tdrop scone, griddlecake, Scotch pancake\n248\tn07687789\t228\tcornbread\n249\tn07685218\t228\tnut bread\n250\tn07694516\t245\tbuttermilk biscuit, soda biscuit\n251\tn07694839\t245\thardtack, pilot biscuit, pilot bread, sea biscuit, ship biscuit\n252\tn07694659\t245\tshortcake\n253\tn07690511\t246\tcorn muffin\n254\tn07690739\t246\tpopover\n255\tn07690431\t246\tbran muffin\n256\tn07688624\t248\tcornpone, pone\n257\tn07688898\t248\thush puppy, hushpuppy\n258\tn07689003\t248\tjohnnycake, johnny cake, journey cake\n259\tn07690152\t231\thamburger bun, hamburger roll\n260\tn07693725\t231\tbagel, beigel\n261\tn07690019\t231\tfrankfurter bun, hotdog bun\n262\tn07692614\t231\tsweet roll, coffee roll\n263\tn07691758\t231\thard roll, Vienna roll\n264\tn07691539\t231\tbrioche\n265\tn07691650\t231\tcrescent roll, croissant\n266\tn07693223\t262\thoney bun, sticky bun, caramel bun, schnecken\n267\tn07693048\t262\tcinnamon roll, cinnamon bun, cinnamon snail\n268\tn07691237\t262\tcross bun, hot cross bun\n269\tn07687626\t232\tItalian bread\n270\tn07687381\t232\tbaguet, baguette\n271\tn07687469\t232\tFrench bread\n272\tn07871810\t234\tmeat loaf, meatloaf\n273\tn07684084\t234\tFrench loaf\n274\tn14580897\t16\tmaterial, stuff\n275\tn15062057\t16\tstucco\n276\tn14698884\t274\tgravel, crushed rock\n277\tn14696793\t274\trock, stone\n278\tn14765422\t274\tleopard\n279\tn14844693\t274\tsoil, dirt\n280\tn15019030\t274\tsand\n281\tn12167075\t274\tloofa, loofah, luffa, loufah sponge\n282\tn14974264\t274\tpaper\n283\tn14858292\t274\tlitter\n284\tn15075141\t282\ttoilet tissue, toilet paper, bathroom tissue\n285\tn04033425\t282\tqueen\n286\tn07556637\t17\tcomestible, edible, eatable, pabulum, victual, victuals\n287\tn07566340\t17\tfoodstuff, food product\n288\tn07560652\t17\tfare\n289\tn07881800\t17\tbeverage, drink, drinkable, potable\n290\tn07938313\t17\tsoul food\n291\tn07800091\t17\tfeed, provender\n292\tn07570720\t17\tnutriment, nourishment, nutrition, sustenance, aliment, alimentation, victuals\n293\tn01464844\t17\tyolk, vitellus\n294\tn07556406\t17\tcomfort food\n295\tn07840804\t287\tegg, eggs\n296\tn07802417\t287\tgrain, food grain, cereal\n297\tn07925608\t287\tcarrot juice\n298\tn07844867\t287\tsoya milk, soybean milk, soymilk\n299\tn07569644\t287\twhole wheat flour, graham flour, graham, whole meal flour\n300\tn07568502\t287\toatmeal, rolled oats\n301\tn07809096\t287\tingredient, fixings\n302\tn07843775\t287\tdairy product\n303\tn07755089\t287\tcocoa\n304\tn07882497\t287\tconcoction, mixture, intermixture\n305\tn07573347\t287\tSpam\n306\tn07923748\t287\tjuice\n307\tn07572957\t287\tcanned food, canned foods, canned goods, tinned goods\n308\tn07731952\t296\tcorn, edible corn\n309\tn07804323\t296\trice\n310\tn07804771\t296\twild rice, Indian rice\n311\tn07803093\t296\tbarley, barleycorn\n312\tn07803545\t296\twheat, wheat berry\n313\tn07732168\t308\tsweet corn, green corn\n314\tn07732636\t308\tpopcorn\n315\tn07804657\t309\twhite rice, polished rice\n316\tn07804900\t309\tpaddy\n317\tn07809368\t301\tflavorer, flavourer, flavoring, flavouring, seasoner, seasoning\n318\tn07841345\t301\tegg yolk, yolk\n319\tn07827284\t317\tsaffron\n320\tn07827130\t317\tjuniper berries\n321\tn07822518\t317\tcayenne, cayenne pepper, red pepper\n322\tn07827410\t317\tsesame seed, benniseed\n323\tn07816052\t317\tsassafras\n324\tn07812184\t317\tspice\n325\tn07810907\t317\tcondiment\n326\tn07858595\t317\tsweetening, sweetener\n327\tn07811416\t317\therb\n328\tn07824702\t317\tpaprika\n329\tn07818277\t317\tgarlic, ail\n330\tn07819769\t317\tnasturtium\n331\tn07920989\t317\tmocha\n332\tn07822323\t317\tcardamom, cardamon, cardamum\n333\tn07815424\t324\tnutmeg\n334\tn07814390\t324\tstick cinnamon\n335\tn07826930\t324\tChinese anise, star anise, star aniseed\n336\tn07814487\t324\tclove\n337\tn07814203\t324\tcinnamon\n338\tn07583066\t325\tguacamole\n339\tn07822845\t325\tchili sauce\n340\tn07767344\t325\tolive\n341\tn07823105\t325\tchutney, Indian relish\n342\tn07828987\t325\tvinegar, acetum\n343\tn07582609\t325\tdip\n344\tn07825972\t325\tsoy sauce, soy\n345\tn07823460\t325\tsalsa\n346\tn07823698\t325\tcranberry sauce\n347\tn07822197\t325\tcatsup, ketchup, cetchup, tomato ketchup\n348\tn07856270\t325\tspread, paste\n349\tn07767709\t325\tgreen olive\n350\tn07829412\t325\tsauce\n351\tn07829331\t342\twine vinegar\n352\tn07829248\t342\tcider vinegar\n353\tn07857731\t348\thummus, humus, hommos, hoummos, humous\n354\tn07857170\t348\tmiso\n355\tn07838233\t350\tspaghetti sauce, pasta sauce\n356\tn07836838\t350\tchocolate sauce, chocolate syrup\n357\tn07826091\t350\tTabasco, Tabasco sauce\n358\tn07830593\t350\thot sauce\n359\tn07840027\t350\tveloute\n360\tn07832416\t350\tpesto\n361\tn07832902\t350\tdressing, salad dressing\n362\tn07835921\t350\tbourguignon, bourguignon sauce, Burgundy sauce\n363\tn07835457\t350\thollandaise\n364\tn07831146\t355\tcarbonara\n365\tn07831267\t355\ttomato sauce\n366\tn07834618\t361\tgreen mayonnaise, sauce verte\n367\tn07834507\t361\tmayonnaise, mayo\n368\tn07595914\t326\tpowdered sugar\n369\tn07858978\t326\thoney\n370\tn07859583\t326\tsyrup, sirup\n371\tn07860103\t370\tsorghum, sorghum molasses\n372\tn07860331\t370\tgrenadine\n373\tn07860447\t370\tmaple syrup\n374\tn07816164\t327\tbasil, sweet basil\n375\tn07818689\t327\tlemon balm\n376\tn07821260\t327\tsweet woodruff, waldmeister\n377\tn07820683\t327\tclary sage\n378\tn07816575\t327\thyssop\n379\tn07817160\t327\tcomfrey, healing herb\n380\tn07817315\t327\tcoriander, Chinese parsley, cilantro\n381\tn07819166\t327\tmint\n382\tn07817024\t327\tchives\n383\tn07818995\t327\tmarjoram, oregano\n384\tn07816398\t327\tborage\n385\tn07820497\t327\tsage\n386\tn07932841\t327\ttea, tea leaf\n387\tn07820145\t327\trosemary\n388\tn07819896\t327\tparsley\n389\tn07816296\t327\tbay leaf\n390\tn07821758\t327\tthyme\n391\tn07933154\t386\ttea bag\n392\tn07935379\t386\toolong\n393\tn07935043\t386\tsouchong, soochong\n394\tn07847198\t302\tcream\n395\tn07844042\t302\tmilk\n396\tn07848196\t394\twhipping cream, light whipping cream\n397\tn07847453\t394\tclotted cream, Devonshire cream\n398\tn07847917\t394\tlight cream, coffee cream, single cream\n399\tn07847827\t394\theavy cream\n400\tn07678729\t304\tstuffing, dressing\n401\tn07860805\t304\tbatter\n402\tn07860988\t304\tdough\n403\tn07883031\t304\tfilling\n404\tn07623136\t402\tpastry, pastry dough\n405\tn07861158\t402\tbread dough\n406\tn07627931\t404\tpuff paste, pate feuillete\n407\tn07628068\t404\tphyllo\n408\tn07565161\t288\tchow, chuck, eats, grub\n409\tn07565083\t288\tmenu\n410\tn07561590\t288\tdietary\n411\tn07561112\t288\tdiet\n412\tn07560903\t288\tdiet\n413\tn07562495\t411\tdietary supplement\n414\tn07564971\t411\tvegetarianism\n415\tn07938149\t413\tvitamin pill\n416\tn07938007\t413\tmultivitamin, multivitamin pill\n417\tn07884567\t289\talcohol, alcoholic drink, alcoholic beverage, intoxicant, inebriant\n418\tn07924033\t289\tfruit juice, fruit crush\n419\tn07919310\t289\tfizz\n420\tn07891189\t289\tnear beer\n421\tn07922764\t289\tcocoa, chocolate, hot chocolate, drinking chocolate\n422\tn07929519\t289\tcoffee, java\n423\tn07921455\t289\tcider, cyder\n424\tn07933274\t289\ttea\n425\tn07927197\t289\tsoft drink\n426\tn07925966\t289\tfruit drink, ade\n427\tn07891309\t289\tginger beer\n428\tn07936263\t289\tdrinking water\n429\tn07883251\t289\tpotion\n430\tn07914271\t289\tsmoothie\n431\tn07911371\t417\tmixed drink\n432\tn07901587\t417\tliquor, spirits, booze, hard drink, hard liquor, John Barleycorn, strong drink\n433\tn07891433\t417\tsake, saki, rice beer\n434\tn07891726\t417\twine, vino\n435\tn07886176\t417\thooch, hootch\n436\tn07886057\t417\thome brew, homebrew\n437\tn07907943\t417\tliqueur, cordial\n438\tn07921615\t417\thard cider\n439\tn07886572\t417\tbrew, brewage\n440\tn07902121\t417\tneutral spirits, ethyl alcohol\n441\tn07886463\t417\taperitif\n442\tn07912211\t431\thighball\n443\tn07911677\t431\tcocktail\n444\tn07914777\t431\tspritzer\n445\tn07930554\t431\tpunch\n446\tn07930433\t431\tpina colada\n447\tn07930315\t431\tmimosa, buck's fizz\n448\tn07915491\t442\tjulep, mint julep\n449\tn07915094\t442\tgin and tonic\n450\tn07913393\t443\tBloody Mary\n451\tn07916041\t443\tmartini\n452\tn07914995\t443\tgimlet\n453\tn07916183\t443\tgin and it\n454\tn07914413\t443\tdaiquiri, rum cocktail\n455\tn07917392\t443\tsidecar\n456\tn07917133\t443\tSazerac\n457\tn07915918\t443\tmargarita\n458\tn07930864\t445\tcup\n459\tn07931870\t445\tMay wine\n460\tn07932039\t445\teggnog\n461\tn07930062\t445\tfruit punch\n462\tn07906111\t432\tvodka\n463\tn07907037\t432\tfirewater\n464\tn07902799\t432\taquavit, akvavit\n465\tn07904865\t432\tgrog\n466\tn07905474\t432\tschnapps, schnaps\n467\tn07902937\t432\tarrack, arak\n468\tn07904395\t432\tgin\n469\tn07905038\t432\trum\n470\tn07902336\t432\taqua vitae, ardent spirits\n471\tn07905979\t432\ttequila\n472\tn07903101\t432\tbitters\n473\tn07904760\t432\tgeneva, Holland gin, Hollands\n474\tn07903208\t432\tbrandy\n475\tn07904934\t432\touzo\n476\tn07906284\t432\twhiskey, whisky\n477\tn07902443\t474\teau de vie\n478\tn07903841\t474\tCognac\n479\tn07903962\t474\tgrappa\n480\tn07903731\t474\tArmagnac\n481\tn07903643\t474\tCalvados\n482\tn07907161\t476\tIrish, Irish whiskey, Irish whisky\n483\tn07906718\t476\tbourbon\n484\tn07907831\t476\tsour mash, sour mash whiskey\n485\tn07907548\t476\tScotch, Scotch whiskey, Scotch whisky, malt whiskey, malt whisky, Scotch malt whiskey, Scotch malt whisky\n486\tn07907429\t476\trye, rye whiskey, rye whisky\n487\tn07906877\t476\tcorn whiskey, corn whisky, corn\n488\tn07906572\t476\tblended whiskey, blended whisky\n489\tn07893253\t434\tblush wine, pink wine, rose, rose wine\n490\tn07892418\t434\tvintage\n491\tn07893642\t434\tchampagne, bubbly\n492\tn07899003\t434\tvin ordinaire\n493\tn07896287\t434\tdessert wine\n494\tn07896661\t434\tmacon, maconnais\n495\tn07893528\t434\tsparkling wine\n496\tn07896165\t434\tCotes de Provence\n497\tn07900225\t434\tvarietal, varietal wine\n498\tn07893891\t434\tBurgundy, Burgundy wine\n499\tn07900406\t434\tfortified wine\n500\tn07895237\t434\tBordeaux, Bordeaux wine\n501\tn07898745\t434\ttable wine\n502\tn07896060\t434\tCalifornia wine\n503\tn07899108\t434\tvermouth\n504\tn07892512\t434\tred wine\n505\tn07897750\t434\tRhone wine\n506\tn07892813\t434\twhite wine\n507\tn07894703\t498\tMontrachet\n508\tn07894102\t498\tBeaujolais\n509\tn07894551\t498\tChablis, white Burgundy\n510\tn07900616\t499\tMadeira\n511\tn07900958\t499\tsherry\n512\tn07900734\t499\tmalmsey\n513\tn07900825\t499\tport, port wine\n514\tn07901457\t499\tmuscat, muscatel, muscadel, muscadelle\n515\tn07898117\t500\tSaint Emilion\n516\tn07895435\t500\tclaret, red Bordeaux\n517\tn07899434\t503\tdry vermouth, French vermouth\n518\tn07899292\t503\tsweet vermouth, Italian vermouth\n519\tn07894298\t504\tMedoc\n520\tn07895595\t504\tChianti\n521\tn07894965\t504\tPinot noir\n522\tn07897865\t504\tRioja\n523\tn07895839\t504\tMerlot\n524\tn07895710\t504\tCabernet, Cabernet Sauvignon\n525\tn07898333\t504\tzinfandel\n526\tn07897438\t506\tRiesling\n527\tn07895962\t506\tSauvignon blanc\n528\tn07896893\t506\tMuscadet\n529\tn07899899\t506\tYquem\n530\tn07895100\t506\tPinot blanc\n531\tn07898443\t506\tSauterne, Sauternes\n532\tn07899533\t506\tChenin blanc\n533\tn07894799\t506\tChardonnay, Pinot Chardonnay\n534\tn07897975\t506\tsack\n535\tn07899660\t506\tVerdicchio\n536\tn07894451\t506\tCanary wine\n537\tn07910656\t437\tPernod\n538\tn07909593\t437\tDrambuie\n539\tn07911249\t437\tsambuca\n540\tn07910048\t437\ttriple sec\n541\tn07908411\t437\tabsinth, absinthe\n542\tn07910379\t437\tmaraschino, maraschino liqueur\n543\tn07908647\t437\tanisette, anisette de Bordeaux\n544\tn07886849\t439\tbeer\n545\tn07887634\t544\tlager, lager beer\n546\tn07887099\t544\tdraft beer, draught beer\n547\tn07889510\t544\tale\n548\tn07887192\t544\tsuds\n549\tn07887304\t545\tMunich beer, Munchener\n550\tn07888229\t545\tPilsner, Pilsener\n551\tn07887967\t545\tlight beer\n552\tn07889274\t545\tmalt, malt liquor\n553\tn07887461\t545\tbock, bock beer\n554\tn07888465\t547\tWeissbier, white beer, wheat beer\n555\tn07890226\t547\tporter, porter's beer\n556\tn07890352\t547\tstout\n557\tn07889814\t547\tbitter\n558\tn07890068\t547\tpale ale\n559\tn07890540\t547\tGuinness\n560\tn07888816\t547\tWeizenbock\n561\tn07924834\t418\torange juice\n562\tn07924443\t418\tcranberry juice\n563\tn07924276\t418\tnectar\n564\tn07920540\t422\ticed coffee, ice coffee\n565\tn07920222\t422\tcaffe latte, latte\n566\tn07920052\t422\tespresso\n567\tn07920349\t422\tcappuccino, cappuccino coffee, coffee cappuccino\n568\tn07919441\t422\tIrish coffee\n569\tn07731284\t422\tchicory, chicory root\n570\tn07919572\t422\tcafe au lait\n571\tn07920872\t422\tmocha, mocha coffee\n572\tn07921239\t422\tTurkish coffee\n573\tn07934282\t424\tice tea, iced tea\n574\tn07933799\t424\tcuppa, cupper\n575\tn07929172\t425\ttonic, tonic water, quinine water\n576\tn07927931\t425\tcola, dope\n577\tn07928488\t425\torange soda\n578\tn07928367\t425\tginger ale, ginger pop\n579\tn07927512\t425\tpop, soda, soda pop, soda water, tonic\n580\tn07928887\t425\troot beer\n581\tn07928696\t576\tCoca Cola, Coke\n582\tn07928790\t576\tPepsi, Pepsi Cola\n583\tn07936745\t428\tmineral water\n584\tn07935737\t428\tbottled water\n585\tn07936548\t428\tsoda water, carbonated water, club soda, seltzer, sparkling water\n586\tn07801508\t291\toil cake\n587\tn07805594\t291\tbird feed, bird food, birdseed\n588\tn07800740\t291\tfodder\n589\tn07801091\t588\teatage, forage, pasture, pasturage, grass\n590\tn07802026\t588\thay\n591\tn07801779\t588\talfalfa\n592\tn07801892\t588\tbroad bean, horse bean\n593\tn07557165\t292\tdainty, delicacy, goody, kickshaw, treat\n594\tn07560193\t292\tfast food\n595\tn07651025\t292\tpuree\n596\tn07560331\t292\tfinger food\n597\tn07557434\t292\tdish\n598\tn07556970\t292\tcourse\n599\tn05399243\t292\tmother's milk\n600\tn15089258\t292\tvitamin\n601\tn07560542\t292\tkosher\n602\tn07573696\t292\tmeal, repast\n603\tn07613815\t593\tjello, Jell-O\n604\tn07643981\t593\tgelatin, jelly\n605\tn07596684\t593\tsweet, confection\n606\tn07600696\t605\tcandied apple, candy apple, taffy apple, caramel apple, toffee apple\n607\tn07597145\t605\tconfiture\n608\tn07597365\t605\tcandy, confect\n609\tn07599998\t605\tchewing gum, gum\n610\tn07596967\t605\tconfectionery\n611\tn07620689\t605\tmaraschino, maraschino cherry\n612\tn07642471\t607\tconserve, preserve, conserves, preserves\n613\tn07643200\t612\tstrawberry jam, strawberry preserves\n614\tn07642742\t612\tapple butter\n615\tn07643026\t612\tlemon curd, lemon cheese\n616\tn07642933\t612\tjam\n617\tn07643306\t612\tjelly\n618\tn07606538\t608\tpeppermint, peppermint candy\n619\tn07599911\t608\tpeanut brittle\n620\tn07607138\t608\tchocolate kiss\n621\tn07608429\t608\tnougat bar\n622\tn07598256\t608\tcandy bar\n623\tn07606669\t608\tjelly bean, jelly egg\n624\tn07607605\t608\tlollipop, sucker, all-day sucker\n625\tn07601572\t608\tcandy cane\n626\tn07609632\t608\ttruffle, chocolate truffle\n627\tn07605597\t608\tchocolate fudge\n628\tn07607967\t608\tcough drop, troche, pastille, pastil\n629\tn07609215\t608\tsugar candy\n630\tn07841907\t608\tEaster egg\n631\tn07606764\t608\tkiss, candy kiss\n632\tn07605944\t608\tgumdrop\n633\tn07601686\t608\tcandy corn\n634\tn07605380\t608\tfondant\n635\tn07605040\t608\tcotton candy, spun sugar, candyfloss\n636\tn07601809\t608\tcaramel\n637\tn07605474\t608\tfudge\n638\tn07842130\t630\tcandy egg\n639\tn07842044\t630\tchocolate egg\n640\tn07600285\t609\tbubble gum\n641\tn07600177\t609\tgum ball\n642\tn07842202\t597\tpoached egg, dropped egg\n643\tn07579688\t597\tpiece de resistance\n644\tn07580053\t597\tside dish, side order, entremets\n645\tn07588947\t597\tstew\n646\tn07842753\t597\tomelet, omelette\n647\tn07583197\t597\tsoup\n648\tn07879350\t597\tsashimi\n649\tn07880751\t597\ttaco\n650\tn07868200\t597\tFrench toast\n651\tn07863802\t597\tcheese souffle\n652\tn07875152\t597\tpotpie\n653\tn07824191\t597\tlamb curry\n654\tn07878785\t597\tstuffed tomato, hot stuffed tomato\n655\tn07865484\t597\tchow mein\n656\tn07866015\t597\tcroquette\n657\tn07868955\t597\tgefilte fish, fish ball\n658\tn07861557\t597\tcoq au vin\n659\tn07580253\t597\tspecial\n660\tn07877187\t597\tspaghetti and meatballs\n661\tn07866868\t597\teggs Benedict\n662\tn07880458\t597\tschnitzel, Wiener schnitzel\n663\tn07648913\t597\tbuffalo wing\n664\tn07580470\t597\tchicken casserole\n665\tn07866277\t597\trissole\n666\tn07591961\t597\tpaella\n667\tn07868508\t597\tfrittata\n668\tn07871436\t597\tmeatball\n669\tn07864934\t597\tchili, chili con carne\n670\tn07874780\t597\tporridge\n671\tn07879659\t597\ttamale\n672\tn07878926\t597\tstuffed tomato, cold stuffed tomato\n673\tn07937461\t597\tcouscous\n674\tn07842433\t597\tdeviled egg, stuffed egg\n675\tn07862611\t597\tbeef Wellington, filet de boeuf en croute\n676\tn07863374\t597\tpasta\n677\tn07866723\t597\tegg roll, spring roll\n678\tn07867021\t597\tenchilada\n679\tn07867164\t597\tfalafel, felafel\n680\tn07726525\t597\tmushy peas\n681\tn07624466\t597\tturnover\n682\tn07842308\t597\tscrambled eggs\n683\tn07877299\t597\tSpanish rice\n684\tn07880080\t597\tteriyaki\n685\tn07862348\t597\tbarbecued spareribs, spareribs\n686\tn07873464\t597\tpilaf, pilaff, pilau, pilaw\n687\tn07869775\t597\tkabob, kebab, shish kebab\n688\tn07879953\t597\ttempura\n689\tn07625061\t597\tsamosa\n690\tn07843636\t597\tfried egg\n691\tn07696403\t597\tsandwich plate\n692\tn07580592\t597\tchicken cacciatore, chicken cacciatora, hunter's chicken\n693\tn07655263\t597\tsaute\n694\tn07868340\t597\tfried rice, Chinese fried rice\n695\tn07619004\t597\tcustard\n696\tn07879174\t597\tsukiyaki\n697\tn07867324\t597\tfish and chips\n698\tn07843464\t597\tsouffle\n699\tn07877961\t597\tsteak au poivre, peppered steak, pepper steak\n700\tn07873807\t597\tpizza, pizza pie\n701\tn07867421\t597\tfondue, fondu\n702\tn07654298\t597\tbiryani, biriani\n703\tn07878647\t597\tstuffed peppers\n704\tn07611839\t597\tmousse\n705\tn07842605\t597\tshirred egg, baked egg, egg en cocotte\n706\tn07871720\t597\tSwedish meatball\n707\tn07869611\t597\tjambalaya\n708\tn07876651\t597\tScotch egg\n709\tn07880968\t597\tburrito\n710\tn07875436\t597\trisotto, Italian rice\n711\tn07806221\t597\tsalad\n712\tn07841495\t597\tboiled egg, coddled egg\n713\tn07823951\t597\tcurry\n714\tn07712382\t597\tsnack food\n715\tn07591586\t645\tbouillabaisse\n716\tn07590320\t645\tgoulash, Hungarian goulash, gulyas\n717\tn07587111\t645\tpottage\n718\tn07592481\t645\tbeef stew\n719\tn07590611\t645\thot pot, hotpot\n720\tn07591473\t645\tfish stew\n721\tn07590502\t645\thotchpotch\n722\tn07591049\t645\tIrish stew\n723\tn07592768\t645\tratatouille\n724\tn07585758\t647\tgazpacho\n725\tn07588193\t647\twon ton, wonton, wonton soup\n726\tn07586894\t647\tpetite marmite, minestrone, vegetable soup\n727\tn07588299\t647\tsplit-pea soup\n728\tn07584110\t647\tconsomme\n729\tn07587441\t647\tchowder\n730\tn07587023\t647\tpotage, pottage\n731\tn07586099\t647\tmarmite\n732\tn07588574\t647\tlentil soup\n733\tn07584332\t647\tbisque\n734\tn07586604\t647\tpea soup\n735\tn07586718\t647\tpepper pot, Philadelphia pepper pot\n736\tn07585107\t647\tchicken broth, chicken stock\n737\tn07585557\t647\tchicken soup\n738\tn07585208\t647\tbroth, stock\n739\tn07584593\t647\tbroth\n740\tn07585906\t647\tgumbo\n741\tn07584423\t647\tborsch, borsh, borscht, borsht, borshch, bortsch\n742\tn07587618\t729\tcorn chowder\n743\tn07587700\t729\tclam chowder\n744\tn07588111\t729\tfish chowder\n745\tn07704054\t670\tgruel\n746\tn07704205\t670\tcongee, jook\n747\tn07871234\t676\tmacaroni and cheese\n748\tn07870167\t676\tlasagna, lasagne\n749\tn07863547\t676\tcannelloni\n750\tn07700003\t676\tspaghetti\n751\tn07619208\t695\tcreme caramel\n752\tn07619409\t695\tcreme brulee\n753\tn07874159\t700\tpepperoni pizza\n754\tn07874343\t700\tanchovy pizza\n755\tn07874259\t700\tcheese pizza\n756\tn07874441\t700\tSicilian pizza\n757\tn07874063\t700\tsausage pizza\n758\tn07867751\t701\tchocolate fondue\n759\tn07867616\t701\tcheese fondue\n760\tn07808587\t711\tcoleslaw, slaw\n761\tn07807834\t711\tmacaroni salad\n762\tn07806633\t711\ttossed salad\n763\tn07807171\t711\tsalad nicoise\n764\tn07807710\t711\tpasta salad\n765\tn07807922\t711\tfruit salad\n766\tn07808904\t711\ttabbouleh, tabooli\n767\tn07806774\t762\tgreen salad\n768\tn07807472\t762\tchef's salad\n769\tn07841639\t712\thard-boiled egg, hard-cooked egg\n770\tn07841800\t712\tEaster egg\n771\tn07695965\t714\tsandwich\n772\tn07712748\t714\tcorn chip\n773\tn07712559\t714\tchip, crisp, potato chip, Saratoga chip\n774\tn07697825\t771\tbomber, grinder, hero, hero sandwich, hoagie, hoagy, Cuban sandwich, Italian sandwich, poor boy, sub, submarine, submarine sandwich, torpedo, wedge, zep\n775\tn07697313\t771\tcheeseburger\n776\tn07696728\t771\tchicken sandwich\n777\tn07696625\t771\tham sandwich\n778\tn07698543\t771\tReuben\n779\tn07698401\t771\tbacon-lettuce-tomato sandwich, BLT\n780\tn07865105\t771\tchili dog\n781\tn07696977\t771\topen-face sandwich, open sandwich\n782\tn07698250\t771\tgyro\n783\tn07698782\t771\twrap\n784\tn07697100\t771\thamburger, beefburger, burger\n785\tn07696839\t771\tclub sandwich, three-decker, triple-decker\n786\tn07697537\t771\thotdog, hot dog, red hot\n787\tn07712856\t772\ttortilla chip\n788\tn07712959\t772\tnacho\n789\tn07579575\t598\tentree, main course\n790\tn07579787\t598\tplate\n791\tn07609840\t598\tdessert, sweet, afters\n792\tn07581346\t598\tappetizer, appetiser, starter\n793\tn07611991\t791\tmousse\n794\tn07613266\t791\ttiramisu\n795\tn07611358\t791\tfrozen dessert\n796\tn07612632\t791\tpudding\n797\tn07612996\t791\tpudding, pud\n798\tn07613480\t791\ttrifle\n799\tn07611267\t791\tflan\n800\tn07612367\t791\twhip\n801\tn07611148\t791\tdumpling\n802\tn07611046\t791\tcompote, fruit compote\n803\tn07617611\t791\tchocolate mousse\n804\tn07612137\t791\tpavlova\n805\tn07616386\t795\tparfait\n806\tn07631926\t795\tice-cream cake, icebox cake\n807\tn07615774\t795\tice lolly, lolly, lollipop, popsicle\n808\tn07616487\t795\tice-cream sundae, sundae\n809\tn07614730\t795\tice-cream cone\n810\tn07614500\t795\tice cream, icecream\n811\tn07614198\t795\tice, frappe\n812\tn07616748\t795\tbanana split\n813\tn07616046\t795\tfrozen yogurt\n814\tn07617051\t795\tfrozen custard, soft ice cream\n815\tn07615671\t810\tvanilla ice cream\n816\tn07615190\t810\tpeach ice cream\n817\tn07614825\t810\tchocolate ice cream\n818\tn07615460\t810\tstrawberry ice cream\n819\tn07617708\t796\tplum pudding, Christmas pudding\n820\tn07618432\t796\tchocolate pudding\n821\tn07582152\t792\tshrimp cocktail\n822\tn07734879\t792\tstuffed mushroom\n823\tn07581775\t792\tcocktail\n824\tn07582277\t792\thors d'oeuvre\n825\tn07730320\t792\tcarrot stick\n826\tn07581249\t792\tantipasto\n827\tn15089645\t600\twater-soluble vitamin\n828\tn15089472\t600\tfat-soluble vitamin\n829\tn15093137\t827\tvitamin P, bioflavinoid, citrin\n830\tn15093298\t827\tvitamin C, C, ascorbic acid\n831\tn15090742\t827\tB-complex vitamin, B complex, vitamin B complex, vitamin B, B vitamin, B\n832\tn15091473\t831\tvitamin B2, vitamin G, riboflavin, lactoflavin, ovoflavin, hepatoflavin\n833\tn14919819\t831\tinositol\n834\tn15091669\t831\tvitamin B6, pyridoxine, pyridoxal, pyridoxamine, adermin\n835\tn14810561\t831\tcholine\n836\tn14973585\t831\tpantothenic acid, pantothen\n837\tn15091304\t831\tvitamin B12, cobalamin, cyanocobalamin, antipernicious anemia factor\n838\tn15091846\t831\tvitamin Bc, vitamin M, folate, folic acid, folacin, pteroylglutamic acid, pteroylmonoglutamic acid\n839\tn15092227\t828\tvitamin D, calciferol, viosterol, ergocalciferol, cholecalciferol, D\n840\tn15090065\t828\tvitamin A1, retinol\n841\tn07576438\t602\tpicnic\n842\tn07577374\t602\tbite, collation, snack\n843\tn07575984\t602\tsupper\n844\tn07574602\t602\tbreakfast\n845\tn07574426\t602\trefection\n846\tn07593199\t602\tsmorgasbord\n847\tn07576182\t602\tbuffet\n848\tn07574923\t602\tbrunch\n849\tn07574780\t602\tcontinental breakfast, petit dejeuner\n850\tn07575726\t602\tdinner\n851\tn07575076\t602\tlunch, luncheon, tiffin, dejeuner\n852\tn07578093\t602\tbanquet, feast, spread\n853\tn07576577\t841\tcookout\n854\tn07577144\t853\tfish fry\n855\tn07576781\t853\tbarbecue, barbeque\n856\tn07574504\t842\trefreshment\n857\tn07577538\t842\tnosh\n858\tn09335240\t2\tland, ground, soil\n859\tn00027167\t2\tlocation\n860\tn09334396\t2\tland, dry land, earth, ground, solid ground, terra firma\n861\tn09283193\t2\tfomite, vehicle\n862\tn03892891\t2\tpart, portion\n863\tn09287968\t2\tgeological formation, formation\n864\tn03059685\t2\tcobweb\n865\tn00003553\t2\twhole, unit\n866\tn09300905\t2\thail\n867\tn09452395\t858\tswamp, swampland\n868\tn09260907\t858\tcultivated land, farmland, plowland, ploughland, tilled land, tillage, tilth\n869\tn08630039\t859\tregion, part\n870\tn08630985\t859\tregion\n871\tn09386842\t859\tpass, mountain pass, notch\n872\tn08593262\t859\tline\n873\tn08620061\t859\tpoint\n874\tn09379111\t859\topening, gap\n875\tn08649711\t869\tbedside\n876\tn08658309\t869\tsoil horizon\n877\tn08568978\t869\textremity\n878\tn08512259\t877\tboundary, bound, bounds\n879\tn03823111\t877\tnib, pen nib\n880\tn04170933\t878\tselvage, selvedge\n881\tn09433839\t878\tshoreline\n882\tn08578517\t870\tbenthos, benthic division, benthonic zone\n883\tn08640739\t870\tresort area, playground, vacation spot\n884\tn08574314\t870\tgeographical area, geographic area, geographical region, geographic region\n885\tn08552138\t870\tdistrict, territory, territorial dominion, dominion\n886\tn08645104\t884\tscrubland\n887\tn08505018\t884\tbush\n888\tn08659861\t884\toilfield\n889\tn08659446\t884\tfield\n890\tn08673395\t884\ttract, piece of land, piece of ground, parcel of land, parcel\n891\tn08583455\t890\theronry\n892\tn08598301\t890\tgrassland\n893\tn08651247\t890\tsite, land site\n894\tn03120491\t890\tcourt\n895\tn02802544\t890\tbasketball court\n896\tn08614632\t890\tfairground\n897\tn08674739\t890\tplot, plot of land, plot of ground, patch\n898\tn08569998\t890\tfield\n899\tn08494231\t890\tamusement park, funfair, pleasure ground\n900\tn08677424\t892\tveld, veldt\n901\tn08616050\t892\tpasture, pastureland, grazing land, lea, ley\n902\tn08518171\t893\tcampsite, campground, camping site, camping ground, bivouac, encampment, camping area\n903\tn08573842\t893\tgarbage heap, junk heap, rubbish heap, scrapheap, trash heap, junk pile, trash pile, refuse heap\n904\tn08521623\t893\tcemetery, graveyard, burial site, burial ground, burying ground, memorial park, necropolis\n905\tn03368352\t897\tflowerbed, flower bed, bed of flowers\n906\tn03417345\t897\tgarden\n907\tn04454908\t906\ttopiary\n908\tn03902482\t906\tpeach orchard\n909\tn04610879\t898\tyard, grounds, curtilage\n910\tn08579352\t898\tgrainfield, grain field\n911\tn03963645\t909\tplayground\n912\tn03417749\t909\tgarden\n913\tn08524735\t885\tcity, metropolis, urban center\n914\tn08537837\t885\tcity district\n915\tn08551296\t885\teparchy, exarchate\n916\tn08628141\t914\tkasbah, casbah\n917\tn08633683\t914\twaterfront\n918\tn08539072\t914\tbusiness district, downtown\n919\tn09249034\t871\tcol, gap\n920\tn09263912\t871\tdefile, gorge\n921\tn08583292\t872\themline\n922\tn09443281\t872\tspoor\n923\tn08547544\t872\tcrest\n924\tn08664443\t873\ttopographic point, place, spot\n925\tn04602044\t873\tworkplace, work\n926\tn08580944\t873\thalf-mast, half-staff\n927\tn03581125\t924\tintersection, crossroad, crossway, crossing, carrefour\n928\tn08517676\t924\tbus stop\n929\tn08598568\t924\tmecca\n930\tn08584914\t924\thole-in-the-wall\n931\tn03899933\t925\tpatisserie\n932\tn02776631\t925\tbakery, bakeshop, bakehouse\n933\tn03322099\t925\tfarm\n934\tn03935234\t933\tpiggery, pig farm\n935\tn04052442\t933\tranch, spread, cattle ranch, cattle farm\n936\tn03159535\t933\tdairy, dairy farm\n937\tn15102894\t874\tknothole\n938\tn09242389\t874\tchasm\n939\tn09382099\t860\toxbow\n940\tn09282208\t860\tfloor\n941\tn09392402\t860\tpinetum\n942\tn09393605\t860\tplain, field, champaign\n943\tn09445289\t860\tsteppe\n944\tn03030880\t862\tcigarette butt\n945\tn03946162\t862\tpipefitting, pipe fitting\n946\tn03485997\t862\thandle, grip, handgrip, hold\n947\tn03882960\t946\tpanhandle\n948\tn04322026\t946\tstock, gunstock\n949\tn03474896\t946\thaft, helve\n950\tn02764398\t946\tax handle, axe handle\n951\tn02907082\t946\tbroomstick, broom handle\n952\tn03948830\t946\tpistol grip\n953\tn09205509\t863\tarete\n954\tn09472413\t863\tvolcanic crater, crater\n955\tn09443453\t863\tspring, fountain, outflow, outpouring, natural spring\n956\tn09309292\t863\tice mass\n957\tn09366017\t863\tnatural depression, depression\n958\tn09366317\t863\tnatural elevation, elevation\n959\tn09376786\t863\toceanfront\n960\tn09348460\t863\tmassif\n961\tn09246464\t863\tcliff, drop, drop-off\n962\tn09433442\t863\tshore\n963\tn09454153\t863\ttalus, scree\n964\tn09409752\t863\tridge, ridgeline\n965\tn09403734\t863\trange, mountain range, range of mountains, chain, mountain chain, chain of mountains\n966\tn09331251\t863\tlakefront\n967\tn09437454\t863\tslope, incline, side\n968\tn09238926\t863\tcave\n969\tn09283866\t863\tforeshore\n970\tn09217230\t863\tbeach\n971\tn09305898\t955\thot spring, thermal spring\n972\tn09288635\t955\tgeyser\n973\tn09308743\t956\ticecap, ice cap\n974\tn09308572\t956\ticeberg, berg\n975\tn09194227\t956\tAlpine glacier, Alpine type of glacier\n976\tn09289331\t956\tglacier\n977\tn09468604\t957\tvalley, vale\n978\tn09344324\t957\tlunar crater\n979\tn09335809\t957\tlandfill\n980\tn09435739\t957\tsinkhole, sink, swallow hole\n981\tn09215437\t957\tbasin\n982\tn09259219\t957\tcrater\n983\tn09217638\t957\tbed, bottom\n984\tn09304750\t957\thole, hollow\n985\tn09206896\t977\tarroyo\n986\tn09405787\t977\travine\n987\tn09233446\t986\tcanyon, canon\n988\tn09290444\t986\tgorge\n989\tn09457979\t981\ttidal basin\n990\tn09245515\t981\tcirque, corrie, cwm\n991\tn09376526\t983\tocean floor, sea floor, ocean bottom, seabed, sea bottom, Davy Jones's locker, Davy Jones\n992\tn09415671\t983\triverbed, river bottom\n993\tn09448690\t983\tstreambed, creek bed\n994\tn09230041\t984\tburrow, tunnel\n995\tn09398076\t984\tpothole, chuckhole\n996\tn09453008\t958\ttableland, plateau\n997\tn09303008\t958\thill\n998\tn09359803\t958\tmountain, mount\n999\tn09302616\t958\thighland, upland\n1000\tn09409512\t958\tridge\n1001\tn09399592\t958\tpromontory, headland, head, foreland\n1002\tn09199101\t997\tanthill, formicary\n1003\tn09230202\t997\tbutte\n1004\tn09283405\t997\tfoothill\n1005\tn09326662\t997\tknoll, mound, hillock, hummock, hammock\n1006\tn09193705\t998\talp\n1007\tn09218641\t998\tben\n1008\tn09472597\t998\tvolcano\n1009\tn09421951\t1000\tsandbar, sand bar\n1010\tn09270735\t1000\tdune, sand dune\n1011\tn09406793\t1000\treef\n1012\tn09213434\t1000\tbank\n1013\tn09256479\t1011\tcoral reef\n1014\tn09210862\t1011\tatoll\n1015\tn09421799\t1012\tsandbank\n1016\tn09224725\t1012\tbluff\n1017\tn09396465\t1001\tpoint\n1018\tn09362945\t1001\tmull\n1019\tn09259025\t961\tcrag\n1020\tn09398677\t961\tprecipice\n1021\tn09428293\t962\tseashore, coast, seacoast, sea-coast\n1022\tn09447666\t962\tstrand\n1023\tn09332890\t962\tlakeside, lakeshore\n1024\tn08596076\t1021\tlittoral, litoral, littoral zone, sands\n1025\tn09428628\t1021\tseaside, seaboard\n1026\tn09361517\t967\tmountainside, versant\n1027\tn09265620\t967\tdescent, declivity, fall, decline, declination, declension, downslope\n1028\tn09303528\t967\thillside\n1029\tn09436444\t967\tski slope\n1030\tn09274152\t967\tescarpment, scarp\n1031\tn09213565\t967\tbank\n1032\tn09269472\t967\tdownhill\n1033\tn09206985\t967\tascent, acclivity, rise, raise, climb, upgrade\n1034\tn09228055\t967\tbrae\n1035\tn09466678\t967\tuphill\n1036\tn09415584\t1031\triverbank, riverside\n1037\tn09475925\t1031\twaterside\n1038\tn09257843\t968\tcove\n1039\tn09239302\t968\tcavern\n1040\tn09294877\t968\tgrotto, grot\n1041\tn00021939\t865\tartifact, artefact\n1042\tn00004258\t865\tliving thing, animate thing\n1043\tn00019128\t865\tnatural object\n1044\tn02749953\t865\tassembly\n1045\tn02852523\t1041\tblock\n1046\tn03767112\t1041\tmillstone\n1047\tn14977504\t1041\tpaving, pavement, paving material\n1048\tn03129123\t1041\tcreation\n1049\tn03848729\t1041\topening\n1050\tn03964744\t1041\tplaything, toy\n1051\tn04362025\t1041\tsurface\n1052\tn04469003\t1041\ttramline, tramway, streetcar track\n1053\tn04341686\t1041\tstructure, construction\n1054\tn03575240\t1041\tinstrumentality, instrumentation\n1055\tn03873064\t1041\tpadding, cushioning\n1056\tn03122748\t1041\tcovering\n1057\tn03309808\t1041\tfabric, cloth, material, textile\n1058\tn02871147\t1041\tbookmark, bookmarker\n1059\tn03364340\t1041\tfloat\n1060\tn14786479\t1041\tbuilding material\n1061\tn03169390\t1041\tdecoration, ornament, ornamentation\n1062\tn04564698\t1041\tway\n1063\tn04339291\t1041\tstrip, slip\n1064\tn00022903\t1041\tarticle\n1065\tn03315023\t1041\tfacility, installation\n1066\tn03302121\t1041\texcavation\n1067\tn03076708\t1041\tcommodity, trade good, good\n1068\tn04188643\t1041\tsheet, flat solid\n1069\tn03354613\t1041\tfixture\n1070\tn14976871\t1041\tblacktop, blacktopping\n1071\tn03670849\t1041\tline\n1072\tn02917521\t1045\tbullion\n1073\tn04414909\t1045\ttessera\n1074\tn04435180\t1045\ttile\n1075\tn02725872\t1045\tanvil\n1076\tn04076846\t1048\trepresentation\n1077\tn02743547\t1048\tart, fine art\n1078\tn03816849\t1048\tneedlework, needlecraft\n1079\tn04007894\t1048\tproduct, production\n1080\tn03934656\t1076\tpieta\n1081\tn03720163\t1076\tmap\n1082\tn04227144\t1076\tsketch, study\n1083\tn04260364\t1076\tsonogram, echogram\n1084\tn03925226\t1076\tphotograph, photo, exposure, picture, pic\n1085\tn04564581\t1076\twaxwork, wax figure\n1086\tn02744844\t1084\tarthrogram\n1087\tn04042358\t1084\tradiogram, radiograph, shadowgraph, skiagraph, skiagram\n1088\tn03927091\t1084\tphotomicrograph\n1089\tn03927539\t1084\tphotostat\n1090\tn03876519\t1077\tpainting, picture\n1091\tn04485423\t1077\ttriptych\n1092\tn03835197\t1090\tnude, nude painting\n1093\tn03342127\t1090\tfinger-painting\n1094\tn04246271\t1078\tsmocking\n1095\tn04321238\t1078\tstitch\n1096\tn04180314\t1095\tsewing stitch, embroidery stitch\n1097\tn03625783\t1095\tknitting stitch\n1098\tn03684611\t1096\tlockstitch\n1099\tn03514693\t1096\themstitch, hemstitching\n1100\tn03421485\t1097\tgarter stitch\n1101\tn04026180\t1097\tpurl, purl stitch\n1102\tn02870526\t1079\tbook\n1103\tn04599396\t1079\twork, piece of work\n1104\tn06415688\t1079\tjotter\n1105\tn03822171\t1079\tnewspaper, paper\n1106\tn04582205\t1103\twicker, wickerwork, caning\n1107\tn03727605\t1103\tmasterpiece, chef-d'oeuvre\n1108\tn03849679\t1103\topenwork\n1109\tn04598792\t1103\twoodwork\n1110\tn03631922\t1103\tlacquerware\n1111\tn02933649\t1109\tcabinetwork\n1112\tn03600722\t1109\tjoinery\n1113\tn03169176\t1049\tdecolletage\n1114\tn03418618\t1049\tgargoyle\n1115\tn02727016\t1049\taperture\n1116\tn03526198\t1049\thole\n1117\tn03794798\t1049\tmouthpiece, embouchure\n1118\tn03859608\t1049\toutfall\n1119\tn03968581\t1116\tplughole\n1120\tn03717447\t1116\tmanhole\n1121\tn03614782\t1116\tkeyhole\n1122\tn03915900\t1116\tperforation\n1123\tn04431025\t1116\tthumbhole\n1124\tn03974070\t1050\tpogo stick\n1125\tn02779435\t1050\tball\n1126\tn03941231\t1050\tpinata\n1127\tn04399382\t1050\tteddy, teddy bear\n1128\tn03603442\t1050\tjungle gym\n1129\tn09229709\t1050\tbubble\n1130\tn03548402\t1050\thula-hoop\n1131\tn03944138\t1050\tpinwheel, pinwheel wind collector\n1132\tn04238128\t1050\tslide, playground slide, sliding board\n1133\tn04284869\t1050\tsport kite, stunt kite\n1134\tn03061211\t1050\tcockhorse\n1135\tn03219135\t1050\tdoll, dolly\n1136\tn09282724\t1129\tfoam, froth\n1137\tn09191635\t1129\tair bubble\n1138\tn09443641\t1136\tspume\n1139\tn04186268\t1136\tshaving foam\n1140\tn03447358\t1135\tgolliwog, golliwogg\n1141\tn03607029\t1135\tkachina\n1142\tn03536348\t1051\thorizontal surface, level\n1143\tn02857023\t1051\tboard, gameboard\n1144\tn04381860\t1051\ttabletop\n1145\tn04213626\t1051\tside\n1146\tn03961939\t1142\tplatform\n1147\tn04394630\t1142\ttarmacadam, tarmac, macadam\n1148\tn03365592\t1142\tfloor, flooring\n1149\tn04501550\t1146\tturntable\n1150\tn04296562\t1146\tstage\n1151\tn03159640\t1146\tdais, podium, pulpit, rostrum, ambo, stump, soapbox\n1152\tn04354182\t1146\tsumo ring\n1153\tn03549732\t1146\thurricane deck, hurricane roof, promenade deck, awning deck\n1154\tn03360300\t1148\tflatbed\n1155\tn03892178\t1148\tparquet, parquet floor\n1156\tn02768973\t1143\tbackgammon board\n1157\tn03906224\t1143\tpegboard\n1158\tn03313333\t1145\tfacade, frontage, frontal\n1159\tn02990373\t1145\tceiling\n1160\tn02861886\t1053\tbody\n1161\tn03365991\t1053\tfloor, level, storey, story\n1162\tn02898711\t1053\tbridge, span\n1163\tn03109693\t1053\tcorner, quoin\n1164\tn13898207\t1053\tconformation\n1165\tn04358874\t1053\tsuperstructure\n1166\tn02687821\t1053\tairdock, hangar, repair shed\n1167\tn03135532\t1053\tcross\n1168\tn03545756\t1053\thouse of cards, cardhouse, card-house, cardcastle\n1169\tn03548626\t1053\thull\n1170\tn03469175\t1053\tgun enclosure, gun turret, turret\n1171\tn03688943\t1053\tlookout, observation tower, lookout station, observatory\n1172\tn02914991\t1053\tbuilding complex, complex\n1173\tn04191595\t1053\tshelter\n1174\tn09218315\t1053\thoneycomb\n1175\tn03074380\t1053\tcolumn, pillar\n1176\tn02699494\t1053\taltar\n1177\tn02733524\t1053\tarch\n1178\tn04460130\t1053\ttower\n1179\tn04471148\t1053\ttransept\n1180\tn03792048\t1053\tmound, hill\n1181\tn03388043\t1053\tfountain\n1182\tn03837869\t1053\tobelisk\n1183\tn03321954\t1053\tfan vaulting\n1184\tn02733213\t1053\tarcade, colonnade\n1185\tn03687137\t1053\tloggia\n1186\tn03065424\t1053\tcoil, spiral, volute, whorl, helix\n1187\tn02839110\t1053\tbillboard, hoarding\n1188\tn03894379\t1053\tpartition, divider\n1189\tn03725717\t1053\tmasonry\n1190\tn04226464\t1053\tskein\n1191\tn03071160\t1053\tcolonnade\n1192\tn03839993\t1053\tobstruction, obstructor, obstructer, impediment, impedimenta\n1193\tn02913152\t1053\tbuilding, edifice\n1194\tn04128413\t1053\tsail\n1195\tn04008947\t1053\tprojection\n1196\tn03917198\t1053\tperistyle\n1197\tn03222318\t1053\tdoor\n1198\tn04295881\t1053\tstadium, bowl, arena, sports stadium\n1199\tn03241335\t1053\tdrinking fountain, water fountain, bubbler\n1200\tn02735688\t1053\tarea\n1201\tn02777734\t1053\tbalcony\n1202\tn03984381\t1053\tporch\n1203\tn03216828\t1053\tdock, dockage, docking facility\n1204\tn03517899\t1053\thigh altar\n1205\tn03546340\t1053\thousing, lodging, living accommodations\n1206\tn04361095\t1053\tsupporting structure\n1207\tn13897996\t1053\tbalance, equilibrium, equipoise, counterbalance\n1208\tn03171356\t1053\tdefensive structure, defense, defence\n1209\tn03290195\t1053\tentablature\n1210\tn03743902\t1053\tmemorial, monument\n1211\tn03297735\t1053\testablishment\n1212\tn04217882\t1053\tsignboard, sign\n1213\tn02863426\t1160\tbodywork\n1214\tn03408054\t1160\tfuselage\n1215\tn03463381\t1161\tground floor, first floor, ground level\n1216\tn03758089\t1161\tmezzanine, mezzanine floor, entresol\n1217\tn03686130\t1161\tloft, attic, garret\n1218\tn02800497\t1161\tbasement, cellar\n1219\tn03379828\t1162\tfootbridge, overcrossing, pedestrian bridge\n1220\tn03233744\t1162\tdrawbridge, lift bridge\n1221\tn02953197\t1162\tcantilever bridge\n1222\tn04108822\t1162\trope bridge\n1223\tn03865557\t1162\toverpass, flyover\n1224\tn04492749\t1162\ttruss bridge\n1225\tn04532670\t1162\tviaduct\n1226\tn04311004\t1162\tsteel arch bridge\n1227\tn03122073\t1162\tcovered bridge\n1228\tn03415486\t1162\tgangplank, gangboard, gangway\n1229\tn04366367\t1162\tsuspension bridge\n1230\tn04479939\t1162\ttrestle bridge\n1231\tn03956922\t1172\tplant, works, industrial plant\n1232\tn03069752\t1172\tcollege\n1233\tn04592465\t1231\twinery, wine maker\n1234\tn03316406\t1231\tfactory, mill, manufacturing plant, manufactory\n1235\tn03212811\t1231\tdistillery, still\n1236\tn03844673\t1231\toil refinery, petroleum refinery\n1237\tn04068441\t1231\trefinery\n1238\tn04103094\t1234\trolling mill\n1239\tn03387653\t1234\tfoundry, metalworks\n1240\tn04311595\t1234\tsteel mill, steelworks, steel plant, steel factory\n1241\tn03697007\t1234\tlumbermill, sawmill\n1242\tn04300358\t1234\tstamp mill, stamping mill\n1243\tn04032603\t1242\tquartz battery, quartz mill\n1244\tn02810782\t1242\tbattery, stamp battery\n1245\tn03492250\t1173\tharbor, harbour\n1246\tn03826186\t1173\tNissen hut, Quonset hut\n1247\tn03547054\t1173\thovel, hut, hutch, shack, shanty\n1248\tn04411264\t1173\ttent, collapsible shelter\n1249\tn03550153\t1173\thut, army hut, field hut\n1250\tn03560430\t1173\tigloo, iglu\n1251\tn03254189\t1173\tdugout\n1252\tn03792972\t1248\tmountain tent\n1253\tn04025508\t1248\tpup tent, shelter tent\n1254\tn03900979\t1248\tpavilion, marquee\n1255\tn02769963\t1248\tbackpacking tent, pack tent\n1256\tn03374473\t1248\tfly tent\n1257\tn02954163\t1248\tcanvas tent, canvas, canvass\n1258\tn03334291\t1257\tfield tent\n1259\tn04549028\t1257\twall tent\n1260\tn03035252\t1257\tcircus tent, big top, round top, top\n1261\tn03448956\t1177\tGothic arch\n1262\tn04113765\t1177\tround arch\n1263\tn03975035\t1177\tpointed arch\n1264\tn04486054\t1177\ttriumphal arch\n1265\tn02905152\t1177\tbroken arch\n1266\tn03784896\t1262\tMoorish arch, horseshoe arch\n1267\tn04104384\t1262\tRoman arch, semicircular arch\n1268\tn02946127\t1178\tcampanile, belfry\n1269\tn04501947\t1178\tturret\n1270\tn03047052\t1178\tclock tower\n1271\tn04206790\t1178\tshot tower\n1272\tn03029197\t1178\tchurch tower\n1273\tn03767745\t1178\tminaret\n1274\tn04028581\t1178\tpylon, power pylon\n1275\tn04220250\t1178\tsilo\n1276\tn04556948\t1178\twatchtower\n1277\tn04479823\t1178\ttrestle\n1278\tn04028764\t1178\tpylon\n1279\tn04312432\t1178\tsteeple, spire\n1280\tn03347617\t1178\tfire tower\n1281\tn03519387\t1178\thigh-rise, tower block\n1282\tn04361260\t1178\tsupporting tower\n1283\tn03098959\t1178\tcontrol tower\n1284\tn02826886\t1178\tbell tower\n1285\tn02814860\t1178\tbeacon, lighthouse, beacon light, pharos\n1286\tn02922292\t1180\tburial mound, grave mound, barrow, tumulus\n1287\tn04251701\t1180\tsnowbank, snow bank\n1288\tn04051825\t1180\trampart, bulwark, wall\n1289\tn03390786\t1288\tfraise\n1290\tn02811936\t1288\tbattlement, crenelation, crenellation\n1291\tn02699770\t1188\taltarpiece, reredos\n1292\tn04546855\t1188\twall\n1293\tn03409393\t1292\tgable, gable end, gable wall\n1294\tn04544325\t1292\twainscoting, wainscotting\n1295\tn02755823\t1292\tattic\n1296\tn03904657\t1293\tpediment\n1297\tn02825961\t1293\tbell gable\n1298\tn02898369\t1189\tbrickwork\n1299\tn04326799\t1189\tstonework\n1300\tn02796623\t1192\tbarrier\n1301\tn03839795\t1192\tobstacle\n1302\tn03967942\t1192\tplug, stopper, stopple\n1303\tn03659686\t1192\tlever, lever tumbler\n1304\tn03454707\t1300\tgrate, grating\n1305\tn04127395\t1300\tsafety rail, guardrail\n1306\tn03795580\t1300\tmovable barrier\n1307\tn02788148\t1300\tbannister, banister, balustrade, balusters, handrail\n1308\tn02894605\t1300\tbreakwater, groin, groyne, mole, bulwark, seawall, jetty\n1309\tn03459775\t1300\tgrille, radiator grille\n1310\tn04571566\t1300\tweir\n1311\tn04047401\t1300\trailing, rail\n1312\tn03549589\t1300\thurdle\n1313\tn04304680\t1300\tstarting gate, starting stall\n1314\tn03327234\t1300\tfence, fencing\n1315\tn03160309\t1300\tdam, dike, dyke\n1316\tn03427296\t1306\tgate\n1317\tn03221720\t1306\tdoor\n1318\tn03698815\t1316\tlychgate, lichgate\n1319\tn03985881\t1316\tportcullis\n1320\tn04501370\t1316\tturnstile\n1321\tn03395514\t1317\tFrench window\n1322\tn02963821\t1317\tcar door\n1323\tn04153025\t1317\tscreen door, screen\n1324\tn03394649\t1317\tFrench door\n1325\tn03226880\t1317\tdouble door\n1326\tn03579538\t1317\tinterior door\n1327\tn04239074\t1317\tsliding door\n1328\tn04086446\t1317\trevolving door, revolver\n1329\tn02793842\t1317\tbarn door\n1330\tn03498662\t1317\thatchback, hatchback door\n1331\tn04329834\t1317\tstorm door\n1332\tn04547592\t1314\twall\n1333\tn04082710\t1314\tretaining wall\n1334\tn04046974\t1314\trail fence\n1335\tn03000134\t1314\tchainlink fence\n1336\tn03252637\t1314\tdry wall, dry-stone wall\n1337\tn03511175\t1314\thedge, hedgerow\n1338\tn04604644\t1314\tworm fence, snake fence, snake-rail fence, Virginia fence\n1339\tn03930313\t1314\tpicket fence, paling\n1340\tn04326547\t1314\tstone wall\n1341\tn04560882\t1301\twater jump\n1342\tn02920369\t1301\tbunker, sand trap, trap\n1343\tn03262072\t1302\tearplug\n1344\tn03108853\t1302\tcork, bottle cork\n1345\tn04390977\t1302\ttap, spigot\n1346\tn03999160\t1193\tpresbytery\n1347\tn03542333\t1193\thotel\n1348\tn04409384\t1193\ttenement, tenement house\n1349\tn02666943\t1193\tabattoir, butchery, shambles, slaughterhouse\n1350\tn02726681\t1193\tapartment building, apartment house\n1351\tn02763604\t1193\taviary, bird sanctuary, volary\n1352\tn03478756\t1193\thall\n1353\tn03545150\t1193\thouse\n1354\tn04104500\t1193\tRoman building\n1355\tn04081699\t1193\trest house\n1356\tn03859280\t1193\toutbuilding\n1357\tn03402941\t1193\tfuneral home, funeral parlor, funeral parlour, funeral chapel, funeral church, funeral-residence\n1358\tn03739518\t1193\tmedical building, health facility, healthcare facility\n1359\tn03542605\t1193\thotel-casino, casino-hotel\n1360\tn03661043\t1193\tlibrary\n1361\tn02977936\t1193\tcasino, gambling casino\n1362\tn03322570\t1193\tfarm building\n1363\tn03953416\t1193\tplace of worship, house of prayer, house of God, house of worship\n1364\tn04081281\t1193\trestaurant, eating house, eating place, eatery\n1365\tn03770316\t1193\tministry\n1366\tn04112654\t1193\trotunda\n1367\tn03839671\t1193\tobservatory\n1368\tn03842012\t1193\toffice building, office block\n1369\tn04407686\t1193\ttemple\n1370\tn04217546\t1193\tsignal box, signal tower\n1371\tn03449564\t1193\tgovernment building\n1372\tn03457902\t1193\tgreenhouse, nursery, glasshouse\n1373\tn04093625\t1193\trink, skating rink\n1374\tn03956157\t1193\tplanetarium\n1375\tn04018399\t1193\tpublic house, pub, saloon, pothouse, gin mill, taphouse\n1376\tn02882190\t1193\tbowling alley\n1377\tn03544360\t1193\thouse\n1378\tn04118635\t1193\truin\n1379\tn02734725\t1193\tarchitecture\n1380\tn04233124\t1193\tskyscraper\n1381\tn03430418\t1193\tgazebo, summerhouse\n1382\tn04146050\t1193\tschool, schoolhouse\n1383\tn03007444\t1193\tchapterhouse\n1384\tn04417809\t1193\ttheater, theatre, house\n1385\tn03479397\t1193\thall of residence\n1386\tn03092166\t1193\tconservatory, hothouse, indoor garden\n1387\tn02993546\t1193\tcenter, centre\n1388\tn04080705\t1347\tresort hotel, spa\n1389\tn08640531\t1347\tresort, resort hotel, holiday resort\n1390\tn03788498\t1347\tmotel\n1391\tn08560295\t1347\tdude ranch\n1392\tn04095109\t1347\tRitz\n1393\tn04229737\t1347\tski lodge\n1394\tn03541696\t1347\thostel, hostelry, inn, lodge, auberge\n1395\tn03790755\t1347\tmotor hotel, motor inn, motor lodge, tourist court, court\n1396\tn03036022\t1352\tcity hall\n1397\tn03466839\t1352\tguildhall\n1398\tn03698723\t1352\tlyceum\n1399\tn03333610\t1353\tfield house, sports arena\n1400\tn03837698\t1353\toast house\n1401\tn03121298\t1353\tcourthouse\n1402\tn04187547\t1356\tshed\n1403\tn03416489\t1356\tgarage\n1404\tn02968074\t1356\tcarport, car port\n1405\tn03860404\t1356\touthouse, privy, earth-closet, jakes\n1406\tn03055857\t1356\tcoach house, carriage house, remise\n1407\tn02859443\t1402\tboathouse\n1408\tn04598318\t1402\twoodshed\n1409\tn02727426\t1402\tapiary, bee house\n1410\tn03730334\t1358\tmaternity hospital\n1411\tn03210552\t1358\tdispensary\n1412\tn04294879\t1362\tstable, stalls, horse barn\n1413\tn03016389\t1362\tchicken coop, coop, hencoop, henhouse\n1414\tn03123809\t1362\tcowbarn, cowshed, cow barn, cowhouse, byre\n1415\tn02793495\t1362\tbarn\n1416\tn03884778\t1363\tpantheon\n1417\tn03028079\t1363\tchurch, church building\n1418\tn04407435\t1363\ttemple\n1419\tn04210390\t1363\tshrine\n1420\tn04346328\t1363\tstupa, tope\n1421\tn03724756\t1363\tmasjid, musjid\n1422\tn04374735\t1363\tsynagogue, temple, tabernacle\n1423\tn03788195\t1363\tmosque\n1424\tn03007130\t1363\tchapel\n1425\tn03618982\t1417\tkirk\n1426\tn02667576\t1417\tabbey\n1427\tn02984061\t1417\tcathedral\n1428\tn02984203\t1417\tcathedral, duomo\n1429\tn03772077\t1417\tminster\n1430\tn02935658\t1364\tcafe, coffeehouse, coffee shop, coffee bar\n1431\tn04111414\t1364\trotisserie\n1432\tn02760099\t1364\tautomat\n1433\tn02892499\t1364\tbrasserie\n1434\tn02935891\t1364\tcafeteria\n1435\tn03199647\t1364\tdiner\n1436\tn02956699\t1371\tcapitol\n1437\tn03282295\t1371\tembassy\n1438\tn04461437\t1371\ttown hall\n1439\tn03005033\t1371\tchancellery\n1440\tn03152303\t1371\tcustomhouse, customshouse\n1441\tn04305210\t1371\tStatehouse\n1442\tn03121431\t1371\tcourthouse\n1443\tn03558176\t1373\tice rink, ice-skating rink, ice\n1444\tn03557360\t1373\tice hockey rink, ice-hockey rink\n1445\tn02696165\t1375\talehouse\n1446\tn03393017\t1375\tfree house\n1447\tn04258438\t1377\tsolar house\n1448\tn02919792\t1377\tbungalow, cottage\n1449\tn04115256\t1377\trow house, town house\n1450\tn02932400\t1377\tcabin\n1451\tn03257210\t1377\tduplex house, duplex, semidetached house\n1452\tn03719053\t1377\tmansion, mansion house, manse, hall, residence\n1453\tn03685820\t1377\tlodging house, rooming house\n1454\tn03428090\t1377\tgatehouse\n1455\tn03686924\t1377\tlog cabin\n1456\tn04131368\t1377\tsaltbox\n1457\tn03118969\t1377\tcountry house\n1458\tn03219483\t1377\tdollhouse, doll's house\n1459\tn04052658\t1377\tranch house\n1460\tn02857477\t1377\tboarding house, boardinghouse\n1461\tn03180865\t1377\tdetached house, single dwelling\n1462\tn04535524\t1377\tvilla\n1463\tn03002816\t1377\tchalet\n1464\tn04079244\t1377\tresidence\n1465\tn03322836\t1377\tfarmhouse\n1466\tn04413969\t1449\tterraced house\n1467\tn02907873\t1449\tbrownstone\n1468\tn03878066\t1452\tpalace, castle\n1469\tn04305323\t1452\tstately home\n1470\tn03718458\t1452\tmanor, manor house\n1471\tn04354026\t1457\tsummer house\n1472\tn03158186\t1457\tdacha\n1473\tn04535370\t1457\tvilla\n1474\tn03010915\t1457\tchateau\n1475\tn03718935\t1464\tmanse\n1476\tn04073948\t1464\treligious residence, cloister\n1477\tn03439348\t1464\tglebe house\n1478\tn03892557\t1464\tparsonage, vicarage, rectory\n1479\tn03877845\t1464\tpalace\n1480\tn03781244\t1476\tmonastery\n1481\tn02667379\t1476\tabbey\n1482\tn02667478\t1476\tabbey\n1483\tn03165616\t1382\tday school\n1484\tn03092314\t1382\tconservatory, conservatoire\n1485\tn03801671\t1382\tmusic school\n1486\tn03849814\t1384\topera, opera house\n1487\tn03801533\t1384\tmusic hall, vaudeville theater, vaudeville theatre\n1488\tn03032252\t1384\tcinema, movie theater, movie theatre, movie house, picture palace\n1489\tn03678729\t1384\tlittle theater, little theatre\n1490\tn03529860\t1384\thome theater, home theatre\n1491\tn03097362\t1387\tcontrol center\n1492\tn04177931\t1387\tsettlement house\n1493\tn02940385\t1387\tcall center, call centre\n1494\tn03111041\t1195\tcornice\n1495\tn03064935\t1195\tcog, sprocket\n1496\tn03626115\t1195\tknob, boss\n1497\tn02838728\t1195\tbill, peak, eyeshade, visor, vizor\n1498\tn03356858\t1195\tflange, rim\n1499\tn02902079\t1195\tbrim\n1500\tn04439585\t1195\ttine\n1501\tn03263076\t1195\teaves\n1502\tn04453037\t1195\ttooth\n1503\tn03942920\t1195\tpinhead\n1504\tn03379204\t1198\tfootball stadium\n1505\tn03522003\t1198\thippodrome\n1506\tn03220692\t1198\tdome, domed stadium, covered stadium\n1507\tn02782778\t1198\tballpark, park\n1508\tn02918112\t1198\tbullring\n1509\tn02704949\t1198\tamphitheater, amphitheatre, coliseum\n1510\tn03899768\t1200\tpatio, terrace\n1511\tn03109881\t1200\tcorner, nook\n1512\tn02775178\t1200\tbaggage claim\n1513\tn03517647\t1200\thideaway, retreat\n1514\tn03024064\t1200\tchoir\n1515\tn02894158\t1200\tbreakfast area, breakfast nook\n1516\tn04030518\t1200\tquad, quadrangle\n1517\tn03004824\t1200\tchancel, sanctuary, bema\n1518\tn02758134\t1200\tauditorium\n1519\tn03120198\t1200\tcourt, courtyard\n1520\tn03200231\t1200\tdining area\n1521\tn04105893\t1200\troom\n1522\tn02750070\t1200\tassembly hall\n1523\tn03285912\t1200\tenclosure\n1524\tn03813078\t1200\tnave\n1525\tn02694045\t1200\taisle\n1526\tn04328946\t1200\tstorage space\n1527\tn03443005\t1200\tgoalmouth\n1528\tn03378005\t1519\tfood court\n1529\tn02754656\t1519\tatrium\n1530\tn03047941\t1519\tcloister\n1531\tn03382292\t1519\tforecourt\n1532\tn04446276\t1521\ttoilet, lavatory, lav, can, john, privy, bathroom\n1533\tn04356925\t1521\tsun parlor, sun parlour, sun porch, sunporch, sunroom, sun lounge, solarium\n1534\tn03288500\t1521\tengineering, engine room\n1535\tn04363991\t1521\tsurgery\n1536\tn04112579\t1521\trotunda\n1537\tn03038685\t1521\tclassroom, schoolroom\n1538\tn03412058\t1521\tgallery, art gallery, picture gallery\n1539\tn03718581\t1521\tmanor hall, hall\n1540\tn02991302\t1521\tcell, jail cell, prison cell\n1541\tn03691817\t1521\tlounge, waiting room, waiting area\n1542\tn04139395\t1521\tsauna, sweat room\n1543\tn03238131\t1521\tdressing room\n1544\tn02839592\t1521\tbilliard room, billiard saloon, billiard parlor, billiard parlour, billiard hall\n1545\tn02824319\t1521\tbelfry\n1546\tn03619890\t1521\tkitchen\n1547\tn03660909\t1521\tlibrary\n1548\tn04329477\t1521\tstoreroom, storage room, stowage\n1549\tn04602762\t1521\tworkroom\n1550\tn04180229\t1521\tsewing room\n1551\tn02710324\t1521\tanechoic chamber\n1552\tn03200701\t1521\tdining room, dining-room\n1553\tn04065464\t1521\trecreation room, rec room\n1554\tn03541091\t1521\thospital room\n1555\tn04058096\t1521\treading room\n1556\tn02873839\t1521\tbooth, cubicle, stall, kiosk\n1557\tn03089879\t1521\tconference room\n1558\tn02821627\t1521\tbedroom, sleeping room, sleeping accommodation, chamber, bedchamber\n1559\tn03040376\t1521\tclean room, white room\n1560\tn03679712\t1521\tliving room, living-room, sitting room, front room, parlor, parlour\n1561\tn03222176\t1521\tdoor\n1562\tn03478907\t1521\thall\n1563\tn04061793\t1521\treception room\n1564\tn02857644\t1521\tboardroom, council chamber\n1565\tn04345028\t1521\tstudy\n1566\tn03683708\t1521\tlocker room\n1567\tn03062122\t1521\tcocktail lounge\n1568\tn04406239\t1521\ttelevision room, tv room\n1569\tn03079741\t1521\tcompartment\n1570\tn03120778\t1521\tcourt, courtroom\n1571\tn03982331\t1521\tpoolroom\n1572\tn02807731\t1521\tbathroom, bath\n1573\tn03098688\t1521\tcontrol room\n1574\tn02715513\t1521\tanteroom, antechamber, entrance hall, hall, foyer, lobby, vestibule\n1575\tn04558478\t1532\twater closet, closet, W.C., loo\n1576\tn03746486\t1532\tmen's room, men's\n1577\tn04555291\t1532\twashroom\n1578\tn04018667\t1532\tpublic toilet, comfort station, public convenience, convenience, public lavatory, restroom, toilet facility, wash room\n1579\tn03529175\t1537\thome room, homeroom\n1580\tn03653740\t1537\tlecture room\n1581\tn04345201\t1537\tstudy hall\n1582\tn03885535\t1548\tpantry, larder, buttery\n1583\tn04324387\t1548\tstockroom, stock room\n1584\tn04523831\t1548\tvault, bank vault\n1585\tn04067818\t1552\trefectory\n1586\tn03200539\t1552\tdining-hall\n1587\tn02952585\t1553\tcanteen\n1588\tn03319745\t1553\tfamily room\n1589\tn04119478\t1553\trumpus room, playroom, game room\n1590\tn03283221\t1554\temergency room, ER\n1591\tn04064862\t1554\trecovery room\n1592\tn03850245\t1554\toperating room, OR, operating theater, operating theatre, surgery\n1593\tn04401680\t1556\ttelephone booth, phone booth, call box, telephone box, telephone kiosk\n1594\tn04541987\t1556\tvoting booth\n1595\tn03090172\t1556\tconfessional\n1596\tn04209613\t1556\tshower stall, shower bath\n1597\tn03727465\t1558\tmaster bedroom\n1598\tn03788601\t1558\tmotel room\n1599\tn03465718\t1558\tguestroom\n1600\tn03542860\t1558\thotel room\n1601\tn03225108\t1558\tdormitory, dormitory room, dorm room\n1602\tn03836062\t1558\tnursery, baby's room\n1603\tn03165466\t1558\tday nursery, day care center\n1604\tn03457008\t1562\tgreat hall\n1605\tn03086580\t1562\tconcert hall\n1606\tn03878211\t1562\tpalace\n1607\tn03303831\t1562\texhibition hall, exhibition area\n1608\tn03891538\t1563\tparlor, parlour\n1609\tn03235042\t1563\tdrawing room, withdrawing room\n1610\tn04000592\t1569\tpress box\n1611\tn03075946\t1569\tcommand module\n1612\tn02932019\t1569\tcabin\n1613\tn03939677\t1569\tpilothouse, wheelhouse\n1614\tn02931148\t1569\tcab\n1615\tn03696065\t1569\tluggage compartment, automobile trunk, trunk\n1616\tn02933462\t1569\tcabinet, locker, storage locker\n1617\tn03061505\t1569\tcockpit\n1618\tn04305572\t1569\tstateroom\n1619\tn02960352\t1569\tcar, elevator car\n1620\tn02934451\t1569\tcable car, car\n1621\tn04299370\t1569\tstall\n1622\tn03235180\t1569\tdrawing room\n1623\tn04414199\t1523\tterrarium\n1624\tn02936714\t1523\tcage, coop\n1625\tn03964495\t1523\tplaypen, pen\n1626\tn03907227\t1523\tpen\n1627\tn04539203\t1523\tvivarium\n1628\tn03993703\t1523\tpound, dog pound\n1629\tn03683079\t1523\tlock, lock chamber\n1630\tn03016737\t1523\tchicken yard, hen yard, chicken run, fowl run\n1631\tn03003730\t1523\tchamber\n1632\tn04061969\t1523\trecess, niche\n1633\tn02843276\t1624\tbirdcage\n1634\tn04037220\t1624\trabbit hutch\n1635\tn03550289\t1624\thutch\n1636\tn03124590\t1626\tcow pen, cattle pen, corral\n1637\tn04100519\t1626\trodeo\n1638\tn03376159\t1626\tfold, sheepfold, sheep pen, sheepcote\n1639\tn04262161\t1631\tsounding board, soundboard\n1640\tn02921884\t1631\tburial chamber, sepulcher, sepulchre, sepulture\n1641\tn03348868\t1631\tfiring chamber, gun chamber\n1642\tn04080454\t1631\tresonator, cavity resonator, resonating chamber\n1643\tn03404449\t1631\tfurnace\n1644\tn02868638\t1631\tbomb shelter, air-raid shelter, bombproof\n1645\tn03555006\t1631\thyperbaric chamber\n1646\tn04076713\t1640\trepository, monument\n1647\tn03732114\t1640\tmausoleum\n1648\tn03617095\t1643\tkiln\n1649\tn02849885\t1643\tblast furnace\n1650\tn03837606\t1643\toast\n1651\tn03425325\t1643\tgas oven\n1652\tn03566193\t1643\tincinerator\n1653\tn03762434\t1632\tmihrab\n1654\tn03073694\t1632\tcolumbarium, cinerarium\n1655\tn03343560\t1632\tfire\n1656\tn03346455\t1632\tfireplace, hearth, open fireplace\n1657\tn02731398\t1632\tapse, apsis\n1658\tn02991847\t1526\tcellar, wine cellar\n1659\tn03148324\t1526\tcupboard, closet\n1660\tn04295571\t1526\tstacks\n1661\tn03411544\t1201\tgallery\n1662\tn02705201\t1661\tamphitheater, amphitheatre\n1663\tn03854722\t1661\torgan loft\n1664\tn04327204\t1202\tstoop, stoep\n1665\tn04355267\t1202\tsun deck\n1666\tn03399677\t1202\tfront porch\n1667\tn04527648\t1202\tveranda, verandah, gallery\n1668\tn03168107\t1202\tdeck\n1669\tn02770211\t1202\tback porch\n1670\tn03986704\t1202\tportico\n1671\tn03721590\t1203\tmarina\n1672\tn03251533\t1203\tdry dock, drydock, graving dock\n1673\tn02853016\t1205\tblock\n1674\tn03259505\t1205\tdwelling, home, domicile, abode, habitation, dwelling house\n1675\tn04409625\t1205\ttennis camp\n1676\tn03679384\t1205\tliving quarters, quarters\n1677\tn03776460\t1205\tmobile home, manufactured home\n1678\tn03088389\t1205\tcondominium\n1679\tn02726305\t1205\tapartment, flat\n1680\tn04549919\t1673\tward, hospital ward\n1681\tn02992032\t1673\tcellblock, ward\n1682\tn03088580\t1674\tcondominium, condo\n1683\tn04613696\t1674\tyurt\n1684\tn03685307\t1674\tlodge, indian lodge\n1685\tn04517408\t1674\tvacation home\n1686\tn03507241\t1674\thearth, fireside\n1687\tn03354207\t1674\tfixer-upper\n1688\tn03042490\t1674\tcliff dwelling\n1689\tn03529629\t1674\thomestead\n1690\tn04172107\t1674\tsemi-detached house\n1691\tn04584373\t1684\twigwam\n1692\tn04412416\t1684\ttepee, tipi, teepee\n1693\tn02672371\t1676\taccommodation\n1694\tn03349892\t1693\tfirst class\n1695\tn02932693\t1693\tcabin class, second class, economy class\n1696\tn02822064\t1679\tbedsitting room, bedsitter, bedsit\n1697\tn03361297\t1679\tflatlet\n1698\tn03010473\t1206\tchassis\n1699\tn04360501\t1206\tsupport\n1700\tn03391770\t1206\tframework\n1701\tn03903868\t1699\tpedestal, plinth, footstall\n1702\tn02929289\t1699\tbuttress, buttressing\n1703\tn03373943\t1699\tflying buttress, arc-boutant\n1704\tn02669295\t1699\tabutment\n1705\tn04087826\t1700\tribbing\n1706\tn02926591\t1700\tbustle\n1707\tn04589593\t1700\twindow frame\n1708\tn03390983\t1700\tframe, framing\n1709\tn03416094\t1700\tgantry, gauntry\n1710\tn03530642\t1700\thoneycomb\n1711\tn04492375\t1700\ttruss\n1712\tn03646916\t1700\tlattice, latticework, fretwork\n1713\tn03111296\t1700\tcornice, valance, valance board, pelmet\n1714\tn03931765\t1700\tpicture frame\n1715\tn04587648\t1700\twindow\n1716\tn03042697\t1700\tclimbing frame\n1717\tn04478512\t1700\ttrellis, treillage\n1718\tn02689144\t1700\tairframe\n1719\tn03454536\t1700\tgrate, grating\n1720\tn03453443\t1700\tgrape arbor, grape arbour\n1721\tn04545305\t1700\twalker, baby-walker, go-cart\n1722\tn02977619\t1700\tcasing, case\n1723\tn04387261\t1700\ttambour, embroidery frame, embroidery hoop\n1724\tn02732827\t1700\tarbor, arbour, bower, pergola\n1725\tn04038727\t1700\track\n1726\tn03793186\t1700\tmounting\n1727\tn04136510\t1700\tsash, window sash\n1728\tn02976350\t1700\tcasement\n1729\tn03855333\t1715\toriel, oriel window\n1730\tn02813399\t1715\tbay window, bow window\n1731\tn04297750\t1715\tstained-glass window\n1732\tn04232800\t1715\tskylight, fanlight\n1733\tn03211789\t1715\tdisplay window, shop window, shopwindow, show window\n1734\tn04110178\t1715\trose window, rosette\n1735\tn03986562\t1715\tporthole\n1736\tn04473108\t1715\ttransom, transom window, fanlight\n1737\tn03041810\t1715\tclerestory, clearstory\n1738\tn03224603\t1715\tdormer, dormer window\n1739\tn03224753\t1715\tdormer window\n1740\tn03637898\t1715\tlancet window\n1741\tn03320959\t1715\tfanlight\n1742\tn03961711\t1725\tplate rack\n1743\tn02790669\t1725\tbarbecue, barbeque\n1744\tn02835829\t1725\tbicycle rack\n1745\tn03696301\t1725\tluggage rack, roof rack\n1746\tn03207630\t1725\tdish rack\n1747\tn04459773\t1725\ttowel rack, towel horse\n1748\tn03896526\t1726\tpasse-partout\n1749\tn03900393\t1726\tpave\n1750\tn03792526\t1726\tmount, setting\n1751\tn04340935\t1208\tstronghold, fastness\n1752\tn03386011\t1208\tfortress, fort\n1753\tn03385557\t1208\tfortification, munition\n1754\tn02806088\t1751\tbastion, citadel\n1755\tn03610098\t1751\tkeep, donjon, dungeon\n1756\tn03628511\t1754\tkremlin\n1757\tn02676938\t1754\tacropolis\n1758\tn02695627\t1752\talcazar\n1759\tn03723781\t1752\tmartello tower\n1760\tn03334382\t1753\tfieldwork\n1761\tn02805983\t1753\tbastion\n1762\tn03296328\t1753\tescarpment, escarp, scarp, protective embankment\n1763\tn03878963\t1753\tpalisade\n1764\tn02980441\t1753\tcastle\n1765\tn02993194\t1210\tcenotaph, empty tomb\n1766\tn03743016\t1210\tmegalith, megalithic structure\n1767\tn04178329\t1210\tSeven Wonders of the Ancient World, Seven Wonders of the World\n1768\tn02892201\t1210\tbrass, memorial tablet, plaque\n1769\tn03810952\t1210\tnational monument\n1770\tn03884926\t1210\tpantheon\n1771\tn03220237\t1766\tdolmen, cromlech, portal tomb\n1772\tn03745571\t1766\tmenhir, standing stone\n1773\tn03953020\t1211\tplace of business, business establishment\n1774\tn03574555\t1211\tinstitution\n1775\tn04511002\t1211\tuniversity\n1776\tn03748162\t1773\tmercantile establishment, retail store, sales outlet, outlet\n1777\tn03841666\t1773\toffice, business office\n1778\tn02931417\t1773\tcabaret, nightclub, night club, club, nightspot\n1779\tn03506370\t1773\thealth spa, spa, health club\n1780\tn03965456\t1776\tplaza, mall, center, shopping mall, shopping center, shopping centre\n1781\tn03119203\t1776\tcountry store, general store, trading post\n1782\tn03176763\t1776\tdepartment store, emporium\n1783\tn04202417\t1776\tshop, store\n1784\tn03722288\t1776\tmarketplace, market place, mart, market\n1785\tn02879309\t1783\tboutique, dress shop\n1786\tn04131208\t1783\tsalon, beauty salon, beauty parlor, beauty parlour, beauty shop\n1787\tn04200800\t1783\tshoe shop, shoe-shop, shoe store\n1788\tn02871525\t1783\tbookshop, bookstore, bookstall\n1789\tn03871371\t1783\tpackage store, liquor store, off-licence\n1790\tn04428634\t1783\tthriftshop, second-hand store\n1791\tn03606251\t1783\tjunk shop\n1792\tn04462240\t1783\ttoyshop\n1793\tn03039827\t1783\tcleaners, dry cleaners\n1794\tn02813544\t1783\tbazaar, bazar\n1795\tn03436417\t1783\tgift shop, novelty shop\n1796\tn03367410\t1783\tflorist, florist shop, flower store\n1797\tn03249342\t1783\tdrugstore, apothecary's shop, chemist's, chemist's shop, pharmacy\n1798\tn03416640\t1783\tgarage, service department\n1799\tn03173387\t1783\tdelicatessen, deli, food shop\n1800\tn04245508\t1783\tsmall stores\n1801\tn02791270\t1783\tbarbershop\n1802\tn04299215\t1783\tstall, stand, sales booth\n1803\tn04443257\t1783\ttobacco shop, tobacconist shop, tobacconist\n1804\tn03822656\t1783\tnewsstand\n1805\tn02927161\t1783\tbutcher shop, meat market\n1806\tn03952576\t1783\tpizzeria, pizza shop, pizza parlor\n1807\tn03089624\t1783\tconfectionery, confectionary, candy store\n1808\tn03099274\t1783\tconvenience store\n1809\tn02813645\t1784\tbazaar, bazar\n1810\tn08492461\t1784\tagora\n1811\tn03461385\t1784\tgrocery store, grocery, food market, market\n1812\tn03847823\t1784\topen-air market, open-air marketplace, market square\n1813\tn04358707\t1811\tsupermarket\n1814\tn03555426\t1811\thypermarket\n1815\tn03457686\t1811\tgreengrocery\n1816\tn04261281\t1812\tsouk\n1817\tn03322704\t1812\tfarmer's market, green market, greenmarket\n1818\tn08571898\t1812\tflea market\n1819\tn03822504\t1777\tnewsroom\n1820\tn02885882\t1777\tbox office, ticket office, ticket booth\n1821\tn03504723\t1777\theadquarters, central office, main office, home office, home base\n1822\tn03111690\t1774\tcorrectional institution\n1823\tn03856012\t1774\torphanage, orphans' asylum\n1824\tn03592245\t1822\tjail, jailhouse, gaol, clink, slammer, poky, pokey\n1825\tn03911513\t1822\tpenitentiary, pen\n1826\tn04005630\t1822\tprison, prison house\n1827\tn04447443\t1054\ttoiletry, toilet articles\n1828\tn04566257\t1054\tweaponry, arms, implements of war, weapons system, munition\n1829\tn03294048\t1054\tequipment\n1830\tn03091374\t1054\tconnection, connexion, connector, connecter, connective\n1831\tn03563967\t1054\timplement\n1832\tn03405265\t1054\tfurnishing\n1833\tn03183080\t1054\tdevice\n1834\tn02997391\t1054\tceramic\n1835\tn04377057\t1054\tsystem\n1836\tn03094503\t1054\tcontainer\n1837\tn03100490\t1054\tconveyance, transport\n1838\tn06254669\t1054\tmedium\n1839\tn03176594\t1827\tdeodorant, deodourant\n1840\tn02807523\t1827\tbath oil\n1841\tn03128519\t1827\tcream, ointment, emollient\n1842\tn03690938\t1827\tlotion\n1843\tn04186051\t1827\tshaving cream, shaving soap\n1844\tn03476991\t1827\thair spray\n1845\tn03794136\t1827\tmousse, hair mousse, hair gel\n1846\tn03916031\t1827\tperfume, essence\n1847\tn03475823\t1827\thairdressing, hair tonic, hair oil, hair grease\n1848\tn02723165\t1827\tantiperspirant\n1849\tn03994008\t1827\tpowder\n1850\tn03113152\t1827\tcosmetic\n1851\tn02808185\t1827\tbath salts\n1852\tn03484487\t1841\thand cream\n1853\tn03067339\t1841\tcold cream, coldcream, face cream, vanishing cream\n1854\tn04357314\t1841\tsunscreen, sunblock, sun blocker\n1855\tn03640850\t1841\tlanolin\n1856\tn02862916\t1842\tbody lotion\n1857\tn04450640\t1842\ttoner\n1858\tn03487444\t1842\thand lotion\n1859\tn02683791\t1842\tafter-shave, after-shave lotion\n1860\tn03992325\t1846\tpotpourri\n1861\tn03898271\t1846\tpatchouli, patchouly, pachouli\n1862\tn03916470\t1846\tperfumery\n1863\tn03071021\t1846\tcologne, cologne water, eau de cologne\n1864\tn04448070\t1846\ttoilet water, eau de toilette\n1865\tn03980026\t1847\tpomade, pomatum\n1866\tn02901793\t1847\tbrilliantine\n1867\tn04447276\t1849\ttoilet powder, bath powder, dusting powder\n1868\tn04386792\t1849\ttalcum, talcum powder\n1869\tn03177165\t1850\tdepilatory, depilator, epilator\n1870\tn03519081\t1850\thighlighter\n1871\tn03714235\t1850\tmakeup, make-up, war paint\n1872\tn03314780\t1871\tface powder\n1873\tn03676087\t1871\tlip-gloss\n1874\tn03309687\t1871\teyeshadow\n1875\tn03724066\t1871\tmascara\n1876\tn03676483\t1871\tlipstick, lip rouge\n1877\tn04112752\t1871\trouge, paint, blusher\n1878\tn03309110\t1871\teyeliner\n1879\tn03308481\t1871\teyebrow pencil\n1880\tn02738031\t1828\tarmament\n1881\tn03171228\t1828\tdefense system, defence system\n1882\tn02866578\t1828\tbomb\n1883\tn02703275\t1828\tammunition, ammo\n1884\tn03812924\t1828\tnaval weaponry\n1885\tn02813752\t1880\tbazooka\n1886\tn02746365\t1880\tartillery, heavy weapon, gun, ordnance\n1887\tn03647520\t1880\tlauncher, rocket launcher\n1888\tn02950256\t1886\tcannon\n1889\tn03332393\t1886\tfield artillery, field gun\n1890\tn03786715\t1888\tmortar, howitzer, trench mortar\n1891\tn02801450\t1888\tbasilisk\n1892\tn03553248\t1882\thydrogen bomb, H-bomb, fusion bomb, thermonuclear bomb\n1893\tn02753044\t1882\tatom bomb, atomic bomb, A-bomb, fission bomb, plutonium bomb\n1894\tn04113641\t1883\tround, unit of ammunition, one shot\n1895\tn04206570\t1883\tshotgun shell\n1896\tn04063373\t1829\trecorder, recording equipment, recording machine\n1897\tn04285146\t1829\tsports equipment\n1898\tn03926148\t1829\tphotographic equipment\n1899\tn03811847\t1829\tnaval equipment\n1900\tn03889726\t1829\tparasail\n1901\tn03430959\t1829\tgear, paraphernalia, appurtenance\n1902\tn04137444\t1829\tsatellite, artificial satellite, orbiter\n1903\tn03414162\t1829\tgame equipment\n1904\tn03888257\t1829\tparachute, chute\n1905\tn03278248\t1829\telectronic equipment\n1906\tn02727825\t1829\tapparatus, setup\n1907\tn02761206\t1829\tautomation\n1908\tn03729951\t1829\tmaterial\n1909\tn02774921\t1829\tbaggage\n1910\tn04393095\t1896\ttape recorder, tape machine\n1911\tn02979290\t1896\tcassette recorder\n1912\tn03192543\t1910\tDictaphone\n1913\tn04533802\t1910\tvideocassette recorder, VCR\n1914\tn02799897\t1897\tbaseball equipment\n1915\tn03135030\t1897\tcroquet mallet\n1916\tn03039259\t1897\tclay pigeon\n1917\tn04225729\t1897\tskate\n1918\tn04607035\t1897\twrestling mat\n1919\tn03132261\t1897\tcricket equipment\n1920\tn02802721\t1897\tbasketball equipment\n1921\tn03594148\t1897\tjavelin\n1922\tn04212282\t1897\tshuttlecock, bird, birdie, shuttle\n1923\tn03446832\t1897\tgolf equipment\n1924\tn04275661\t1897\tspike\n1925\tn04318131\t1897\tstick\n1926\tn02885338\t1897\tboxing equipment\n1927\tn02885462\t1897\tboxing glove, glove\n1928\tn03472232\t1897\tgymnastic apparatus, exerciser\n1929\tn04571292\t1897\tweight, free weight, exercising weight\n1930\tn02800213\t1914\tbaseball glove, glove, baseball mitt, mitt\n1931\tn02811059\t1914\tbatting cage, cage\n1932\tn02811204\t1914\tbatting glove\n1933\tn02797881\t1914\tbase, bag\n1934\tn02811350\t1914\tbatting helmet\n1935\tn02799175\t1914\tbaseball bat, lumber\n1936\tn03528901\t1933\thome plate, home base, home, plate\n1937\tn03349771\t1933\tfirst base\n1938\tn04425804\t1933\tthird base, third\n1939\tn04164406\t1933\tsecond base\n1940\tn04102037\t1917\tin-line skate\n1941\tn04102162\t1917\tRollerblade\n1942\tn04102618\t1917\troller skate\n1943\tn03558404\t1917\tice skate\n1944\tn03523987\t1943\thockey skate\n1945\tn04273972\t1943\tspeed skate, racing skate\n1946\tn03336282\t1943\tfigure skate\n1947\tn03132076\t1919\tcricket bat, bat\n1948\tn04582869\t1919\twicket\n1949\tn03445924\t1923\tgolfcart, golf cart\n1950\tn03447075\t1923\tgolf glove\n1951\tn04399537\t1923\ttee, golf tee\n1952\tn03446070\t1923\tgolf club, golf-club, club\n1953\tn04597066\t1952\twood\n1954\tn03585073\t1952\tiron\n1955\tn03244047\t1953\tdriver, number one wood\n1956\tn04284341\t1953\tspoon\n1957\tn04569822\t1954\twedge\n1958\tn03762332\t1954\tmidiron, two iron\n1959\tn04028074\t1954\tputter, putting iron\n1960\tn03823216\t1954\tniblick, nine iron\n1961\tn03950537\t1957\tpitching wedge\n1962\tn04135024\t1957\tsand wedge\n1963\tn03524150\t1925\thockey stick\n1964\tn03978686\t1925\tpolo mallet, polo stick\n1965\tn03535780\t1928\thorizontal bar, high bar\n1966\tn03538037\t1928\thorse, gymnastic horse\n1967\tn04509260\t1928\tuneven parallel bars, uneven bars\n1968\tn03888605\t1928\tparallel bars, bars\n1969\tn04469514\t1928\ttrampoline\n1970\tn02777292\t1928\tbalance beam, beam\n1971\tn04524142\t1966\tvaulting horse, long horse, buck\n1972\tn03980478\t1966\tpommel horse, side horse\n1973\tn03255030\t1929\tdumbbell\n1974\tn02790996\t1929\tbarbell\n1975\tn03289660\t1898\tenlarger\n1976\tn02942699\t1898\tcamera, photographic camera\n1977\tn03037404\t1898\tclapperboard\n1978\tn03338821\t1898\tfilm, photographic film\n1979\tn03667664\t1898\tlight meter, exposure meter, photometer\n1980\tn02884994\t1976\tbox camera, box Kodak\n1981\tn03358726\t1976\tflash camera\n1982\tn03976467\t1976\tPolaroid camera, Polaroid Land camera\n1983\tn03974915\t1976\tpoint-and-shoot camera\n1984\tn04569063\t1976\twebcam\n1985\tn03789171\t1976\tmotion-picture camera, movie camera, cine-camera\n1986\tn03196062\t1976\tdigital camera\n1987\tn03987266\t1976\tportrait camera\n1988\tn04069434\t1976\treflex camera\n1989\tn04609531\t1978\tX-ray film\n1990\tn04067658\t1978\treel\n1991\tn03817191\t1978\tnegative\n1992\tn04071263\t1901\tregalia\n1993\tn03619396\t1901\tkit, outfit\n1994\tn04091097\t1901\trig\n1995\tn03351434\t1901\tfishing gear, tackle, fishing tackle, fishing rig, rig\n1996\tn04295081\t1901\tstable gear, saddlery, tack\n1997\tn04091693\t1901\trigging, tackle\n1998\tn03138669\t1992\tcrown, diadem\n1999\tn03139464\t1992\tcrown jewels\n2000\tn04179824\t1993\tsewing kit\n2001\tn03349469\t1993\tfirst-aid kit\n2002\tn02966687\t1993\tcarpenter's kit, tool kit\n2003\tn03650551\t1993\tlayette\n2004\tn03241093\t1994\tdrill rig, drilling rig, oilrig, oil rig\n2005\tn03240683\t1994\tdrilling platform, offshore rig\n2006\tn03494706\t1996\tharness\n2007\tn04247876\t1996\tsnaffle, snaffle bit\n2008\tn03503718\t1996\theadgear\n2009\tn04124202\t1996\tsaddle blanket, saddlecloth, horse blanket\n2010\tn03480719\t2008\thalter, hackamore\n2011\tn02900160\t2008\tbridle\n2012\tn04290615\t1902\tsputnik\n2013\tn04266162\t1902\tspace station, space platform, space laboratory\n2014\tn02768226\t1903\tbackboard, basketball backboard\n2015\tn02778669\t1903\tball\n2016\tn04028315\t1903\tpuzzle\n2017\tn03982430\t1903\tpool table, billiard table, snooker table\n2018\tn02882647\t1903\tbowling pin, pin\n2019\tn03716327\t1903\tman, piece\n2020\tn03020416\t1903\tchip, poker chip\n2021\tn04113406\t1903\troulette wheel, wheel\n2022\tn03442756\t1903\tgoal\n2023\tn04540255\t1903\tvolleyball net\n2024\tn03941417\t1903\tpinball machine, pin table\n2025\tn04254680\t2015\tsoccer ball\n2026\tn03982232\t2015\tpool ball\n2027\tn02882301\t2015\tbowling ball, bowl\n2028\tn04256891\t2015\tsoftball, playground ball\n2029\tn03333252\t2015\tfield hockey ball\n2030\tn04023962\t2015\tpunching bag, punch bag, punching ball, punchball\n2031\tn02839351\t2015\tbilliard ball\n2032\tn03134739\t2015\tcroquet ball\n2033\tn03131967\t2015\tcricket ball\n2034\tn04409515\t2015\ttennis ball\n2035\tn03445777\t2015\tgolf ball\n2036\tn04118538\t2015\trugby ball\n2037\tn03145719\t2015\tcue ball\n2038\tn03742019\t2015\tmedicine ball\n2039\tn02802426\t2015\tbasketball\n2040\tn03267113\t2015\teight ball\n2041\tn03942813\t2015\tping-pong ball\n2042\tn03482877\t2015\thandball\n2043\tn02799071\t2015\tbaseball\n2044\tn04039742\t2015\tracquetball\n2045\tn02861147\t2015\tbocce ball, bocci ball, boccie ball\n2046\tn04540053\t2015\tvolleyball\n2047\tn03598930\t2016\tjigsaw puzzle\n2048\tn06785654\t2016\tcrossword puzzle, crossword\n2049\tn03014440\t2019\tchessman, chess piece\n2050\tn04579986\t2019\twhite\n2051\tn03901750\t2019\tpawn\n2052\tn02802215\t2022\tbasket, basketball hoop, hoop\n2053\tn03820318\t2022\tnet\n2054\tn03278914\t1905\telectronic fetal monitor, electronic foetal monitor, fetal monitor, foetal monitor\n2055\tn03782006\t1905\tmonitor\n2056\tn03781787\t1905\tmonitor\n2057\tn04405762\t1905\ttelevision monitor, tv monitor\n2058\tn04401088\t1905\ttelephone, phone, telephone set\n2059\tn03857828\t1905\toscilloscope, scope, cathode-ray oscilloscope, CRO\n2060\tn03916720\t1905\tperipheral, computer peripheral, peripheral device\n2061\tn02872529\t1905\tbooster, booster amplifier, booster station, relay link, relay station, relay transmitter\n2062\tn02979186\t1905\tcassette player\n2063\tn02988304\t1905\tCD player\n2064\tn04060647\t1905\treceiver, receiving system\n2065\tn02757462\t1905\taudio system, sound system\n2066\tn03656957\t1905\tlens, electron lens\n2067\tn03963294\t1905\tplayback\n2068\tn04405540\t1905\ttelevision equipment, video equipment\n2069\tn03034405\t1905\tcircuitry\n2070\tn02979074\t1905\tcassette deck\n2071\tn02995345\t1905\tcentral processing unit, CPU, C.P.U., central processor, processor, mainframe\n2072\tn03775388\t1905\tmixer\n2073\tn04142731\t1905\tscanner, electronic scanner\n2074\tn04392985\t1905\ttape player\n2075\tn03181293\t1905\tdetector\n2076\tn03777754\t1905\tmodem\n2077\tn03293741\t1905\tequalizer, equaliser\n2078\tn04392526\t1905\ttape deck\n2079\tn02705944\t1905\tamplifier\n2080\tn02992529\t2058\tcellular telephone, cellular phone, cellphone, cell, mobile phone\n2081\tn04270371\t2058\tspeakerphone\n2082\tn03179910\t2058\tdesk phone\n2083\tn03902125\t2058\tpay-phone, pay-station\n2084\tn03488438\t2058\thandset, French telephone\n2085\tn03187595\t2058\tdial telephone, dial phone\n2086\tn04044498\t2058\tradiotelephone, radiophone, wireless telephone\n2087\tn04405907\t2064\ttelevision receiver, television, television set, tv, tv set, idiot box, boob tube, telly, goggle box\n2088\tn04043733\t2064\tradio receiver, receiving set, radio set, radio, tuner, wireless\n2089\tn04137773\t2064\tsatellite receiver\n2090\tn03516996\t2088\theterodyne receiver, superheterodyne receiver, superhet\n2091\tn03046921\t2088\tclock radio\n2092\tn04077430\t2065\treproducer\n2093\tn03517760\t2092\thi-fi, high fidelity sound system\n2094\tn04315948\t2092\tstereo, stereophony, stereo system, stereophonic system\n2095\tn03584254\t2094\tiPod\n2096\tn04546340\t2094\tWalkman\n2097\tn03584400\t2094\tvideo iPod\n2098\tn03436182\t2094\tghetto blaster, boom box\n2099\tn02942349\t2068\tcamcorder\n2100\tn04404997\t2068\ttelevision camera, tv camera, camera\n2101\tn03909160\t1906\tpendulum\n2102\tn04026053\t1906\tpurifier\n2103\tn04173511\t1906\tsequencer, sequenator\n2104\tn04070003\t1906\treformer\n2105\tn03257586\t1906\tduplicator, copier\n2106\tn03509608\t1906\theat pump\n2107\tn04171208\t1906\tsemaphore\n2108\tn04450243\t1906\ttomograph\n2109\tn04506506\t1906\tultracentrifuge\n2110\tn03434188\t1906\tgenerator\n2111\tn03567066\t1906\tincubator, brooder\n2112\tn02923129\t1906\tburner\n2113\tn03386544\t2101\tFoucault pendulum\n2114\tn03046802\t2101\tclock pendulum\n2115\tn03757604\t2101\tmetronome\n2116\tn03927299\t2105\tPhotostat, Photostat machine\n2117\tn03924679\t2105\tphotocopier\n2118\tn04608923\t2105\tXerox, xerographic copier, Xerox machine\n2119\tn03316105\t2105\tfacsimile, facsimile machine, fax\n2120\tn03767459\t2105\tmimeograph, mimeo, mimeograph machine, Roneo, Roneograph\n2121\tn03987990\t2108\tpositron emission tomography scanner, PET scanner\n2122\tn03084834\t2108\tcomputerized axial tomography scanner, CAT scanner\n2123\tn03422072\t2112\tgas burner, gas jet\n2124\tn02855390\t2112\tblowtorch, torch, blowlamp\n2125\tn02921029\t2123\tbunsen burner, bunsen, etna\n2126\tn03425769\t2123\tgas ring\n2127\tn03871524\t1908\tpackaging\n2128\tn02852360\t1908\tblister pack, bubble pack\n2129\tn04105704\t1908\troofing\n2130\tn04408871\t1830\ttemporary hookup, patch\n2131\tn04241573\t1830\tslip ring\n2132\tn04402057\t1830\ttelephone line, phone line, telephone circuit, subscriber line, line\n2133\tn03664943\t1830\tligament\n2134\tn03605915\t1830\tjunction, conjunction\n2135\tn03543012\t2132\thot line\n2136\tn03196990\t2132\tdigital subscriber line, DSL\n2137\tn03639497\t2132\tland line, landline\n2138\tn02840134\t2133\tbinder, ligature\n2139\tn04594218\t2133\twire\n2140\tn02999410\t2133\tchain\n2141\tn03086868\t2139\tconcertina\n2142\tn02790823\t2139\tbarbed wire, barbwire\n2143\tn03886641\t2140\tpaper chain\n2144\tn02709637\t2140\tanchor chain, anchor rope\n2145\tn03374838\t2140\tfob, watch chain, watch guard\n2146\tn02835412\t2140\tbicycle chain\n2147\tn04440963\t2140\ttire chain, snow chain\n2148\tn03011018\t2140\tchatelaine\n2149\tn03600977\t2134\tjoint\n2150\tn03093792\t2134\tcontact, tangency\n2151\tn03228967\t2149\tdovetail, dovetail joint\n2152\tn04573281\t2149\twelt\n2153\tn03521076\t2149\thinge, flexible joint\n2154\tn04144241\t2149\tscarf joint, scarf\n2155\tn04571958\t2149\tweld\n2156\tn04160372\t2149\tseam\n2157\tn03787523\t2149\tmortise joint, mortise-and-tenon joint\n2158\tn02928299\t2153\tbutt hinge\n2159\tn04333869\t2153\tstrap hinge, joint hinge\n2160\tn03213826\t2150\tdistributor point, breaker point, point\n2161\tn04476972\t2150\ttread\n2162\tn04593866\t2150\twiper, wiper arm, contact arm\n2163\tn02788689\t1831\tbar\n2164\tn04451818\t1831\ttool\n2165\tn04516672\t1831\tutensil\n2166\tn04116512\t1831\trubber eraser, rubber, pencil eraser\n2167\tn03816136\t1831\tneedle\n2168\tn03294833\t1831\teraser\n2169\tn04317420\t1831\tstick\n2170\tn02908217\t1831\tbrush\n2171\tn03532342\t1831\thook\n2172\tn04185071\t1831\tsharpener\n2173\tn04285622\t1831\tsports implement\n2174\tn03653220\t1831\tleather strip\n2175\tn04369282\t1831\tswatter, flyswatter, flyswat\n2176\tn03346135\t1831\tfire iron\n2177\tn03837422\t1831\toar\n2178\tn04317833\t1831\tstick\n2179\tn03039947\t1831\tcleaning implement, cleaning device, cleaning equipment\n2180\tn04100174\t1831\trod\n2181\tn04608567\t1831\twriting implement\n2182\tn04208427\t1831\tshovel\n2183\tn04282872\t2163\tsplit rail, fence rail\n2184\tn03396074\t2163\tfret\n2185\tn02865931\t2163\tbolt, deadbolt\n2186\tn04112147\t2163\trotor\n2187\tn04459909\t2163\ttowel rail, towel bar\n2188\tn03659292\t2163\tlever\n2189\tn04463679\t2163\ttrack, rail, rails, runway\n2190\tn03487090\t2163\thandlebar\n2191\tn03138344\t2188\tcrowbar, wrecking bar, pry, pry bar\n2192\tn04317976\t2188\tstick, control stick, joystick\n2193\tn03613592\t2188\tkey\n2194\tn04393808\t2188\ttappet\n2195\tn03903424\t2188\tpedal, treadle, foot pedal, foot lever\n2196\tn04099003\t2188\trocker arm, valve rocker\n2197\tn03470629\t2188\tgun trigger, trigger\n2198\tn04264628\t2193\tspace bar\n2199\tn02771004\t2193\tbackspace key, backspace, backspacer\n2200\tn04193377\t2193\tshift key, shift\n2201\tn04400737\t2193\ttelegraph key\n2202\tn02670683\t2195\taccelerator, accelerator pedal, gas pedal, gas, throttle, gun\n2203\tn04367011\t2195\tsustaining pedal, loud pedal\n2204\tn03489162\t2164\thand tool\n2205\tn03588951\t2164\tjack\n2206\tn03919430\t2164\tpestle, muller, pounder\n2207\tn03418242\t2164\tgarden tool, lawn tool\n2208\tn03967562\t2164\tplow, plough\n2209\tn03075097\t2164\tcomb\n2210\tn03239726\t2164\tdrill\n2211\tn03154446\t2164\tcutting implement\n2212\tn04387706\t2164\ttamp, tamper, tamping bar\n2213\tn03417970\t2164\tgarden rake\n2214\tn04050066\t2164\trake\n2215\tn04299963\t2164\tstamp\n2216\tn03684224\t2204\tlocking pliers\n2217\tn03919289\t2204\tpestle\n2218\tn03970156\t2204\tplunger, plumber's helper\n2219\tn03941684\t2204\tpincer, pair of pincers, tweezer, pair of tweezers\n2220\tn03966976\t2204\tpliers, pair of pliers, plyers\n2221\tn04258859\t2204\tsoldering iron\n2222\tn04266486\t2204\tspade\n2223\tn03481172\t2204\thammer\n2224\tn03946076\t2204\tpipe cutter\n2225\tn04606574\t2204\twrench, spanner\n2226\tn04154565\t2204\tscrewdriver\n2227\tn04489817\t2204\ttrowel\n2228\tn04140064\t2204\tsaw\n2229\tn03848348\t2204\topener\n2230\tn04150980\t2204\tscraper\n2231\tn04208210\t2204\tshovel\n2232\tn02898269\t2204\tbrick trowel, mason's trowel\n2233\tn04269944\t2204\tspatula\n2234\tn02966545\t2223\tcarpenter's hammer, claw hammer, clawhammer\n2235\tn03430313\t2223\tgavel\n2236\tn03715386\t2223\tmallet, beetle\n2237\tn03731695\t2223\tmaul, sledge, sledgehammer\n2238\tn04457910\t2225\ttorque wrench\n2239\tn03947466\t2225\tpipe wrench, tube wrench\n2240\tn02680754\t2225\tadjustable wrench, adjustable spanner\n2241\tn03848168\t2225\topen-end wrench, tappet wrench\n2242\tn02697675\t2225\tAllen wrench\n2243\tn02886434\t2225\tbox wrench, box end wrench\n2244\tn03474779\t2228\thacksaw, hack saw, metal saw\n2245\tn03376938\t2228\tfolding saw\n2246\tn03488188\t2228\thandsaw, hand saw, carpenter's saw\n2247\tn04016240\t2246\tpruner, pruning hook, lopper\n2248\tn04016576\t2246\tpruning saw\n2249\tn03109150\t2229\tcorkscrew, bottle screw\n2250\tn02877962\t2229\tbottle opener\n2251\tn02951585\t2229\tcan opener, tin opener\n2252\tn03511333\t2207\thedge trimmer\n2253\tn03649909\t2207\tlawn mower, mower\n2254\tn03995856\t2253\tpower mower, motor mower\n2255\tn04089976\t2253\triding mower\n2256\tn03995372\t2210\tpower drill\n2257\tn03240140\t2210\telectric drill\n2258\tn03154073\t2211\tcutter, cutlery, cutting tool\n2259\tn04503593\t2211\ttwist bit, twist drill\n2260\tn02844307\t2211\tbit\n2261\tn02848216\t2211\tblade\n2262\tn03624400\t2211\tknife blade\n2263\tn02866386\t2258\tbolt cutter\n2264\tn03030557\t2258\tcigar cutter\n2265\tn03265032\t2258\tedge tool\n2266\tn04148054\t2265\tscissors, pair of scissors\n2267\tn03623556\t2265\tknife\n2268\tn02764044\t2265\tax, axe\n2269\tn04057047\t2265\trazor\n2270\tn04594828\t2265\twire cutter\n2271\tn03020692\t2265\tchisel\n2272\tn03954731\t2265\tplane, carpenter's plane, woodworking plane\n2273\tn04186848\t2266\tshears\n2274\tn04250473\t2273\tsnips, tinsnips\n2275\tn04016684\t2273\tpruning shears\n2276\tn04163530\t2273\tsecateurs\n2277\tn02973904\t2267\tcarving knife\n2278\tn02880842\t2267\tBowie knife\n2279\tn03973628\t2267\tpocketknife, pocket knife\n2280\tn03041632\t2267\tcleaver, meat cleaver, chopper\n2281\tn03549473\t2267\thunting knife\n2282\tn02976123\t2267\tcase knife, sheath knife\n2283\tn03890093\t2267\tparer, paring knife\n2284\tn03658185\t2267\tletter opener, paper knife, paperknife\n2285\tn04373089\t2279\tswitchblade, switchblade knife, flick-knife, flick knife\n2286\tn03911658\t2279\tpenknife\n2287\tn02811468\t2268\tbattle-ax, battle-axe\n2288\tn03498962\t2268\thatchet\n2289\tn04185804\t2269\tshaver, electric shaver, electric razor\n2290\tn04332074\t2269\tstraight razor\n2291\tn04127521\t2269\tsafety razor\n2292\tn03067212\t2271\tcold chisel, set chisel\n2293\tn04597400\t2271\twood chisel\n2294\tn03601638\t2272\tjointer, jointer plane, jointing plane, long plane\n2295\tn04247630\t2272\tsmooth plane, smoothing plane\n2296\tn04283585\t2272\tspokeshave\n2297\tn03621049\t2165\tkitchen utensil\n2298\tn02997607\t2165\tceramic ware\n2299\tn03403643\t2165\tfunnel\n2300\tn04103206\t2297\trolling pin\n2301\tn04059516\t2297\treamer, juicer, juice reamer\n2302\tn03724417\t2297\tmasher\n2303\tn03621377\t2297\tkitchenware\n2304\tn04293119\t2297\tsqueezer\n2305\tn03775199\t2297\tmixer\n2306\tn03101517\t2297\tcookie cutter\n2307\tn03101986\t2297\tcooking utensil, cookware\n2308\tn03454885\t2297\tgrater\n2309\tn03767966\t2297\tmincer, mincing machine\n2310\tn03266371\t2305\teggbeater, eggwhisk\n2311\tn04578934\t2305\twhisk\n2312\tn02850732\t2305\tblender, liquidizer, liquidiser\n2313\tn03880531\t2307\tpan, cooking pan\n2314\tn03133878\t2307\tCrock Pot\n2315\tn02999138\t2307\tchafing dish\n2316\tn04270147\t2307\tspatula\n2317\tn03459328\t2307\tgriddle\n2318\tn03284981\t2307\tenamelware\n2319\tn04309548\t2307\tsteamer\n2320\tn03101796\t2307\tcookie sheet, baking tray\n2321\tn03101156\t2307\tcooker\n2322\tn04500060\t2307\tturner, food turner\n2323\tn03846677\t2313\tomelet pan, omelette pan\n2324\tn04317325\t2313\tstewing pan, stewpan\n2325\tn03400231\t2313\tfrying pan, frypan, skillet\n2326\tn04097760\t2313\troaster\n2327\tn04596742\t2313\twok\n2328\tn04138977\t2313\tsaucepan\n2329\tn03453231\t2318\tgraniteware\n2330\tn03047799\t2318\tcloisonne\n2331\tn03984234\t2298\tporcelain\n2332\tn03262519\t2298\tearthenware\n2333\tn04326676\t2298\tstoneware\n2334\tn03992703\t2298\tpottery, clayware\n2335\tn04282992\t2331\tSpode\n2336\tn03018209\t2331\tchina\n2337\tn02869155\t2331\tbone china\n2338\tn03713436\t2332\tmajolica, maiolica\n2339\tn03317788\t2332\tfaience\n2340\tn03625646\t2167\tknitting needle\n2341\tn03133050\t2167\tcrochet needle, crochet hook\n2342\tn04546194\t2169\twalking stick\n2343\tn03729826\t2169\tmatchstick\n2344\tn03053474\t2169\tclub\n2345\tn03332271\t2169\tfiddlestick, violin bow\n2346\tn04277352\t2169\tspindle\n2347\tn04321453\t2169\tstob\n2348\tn04296261\t2169\tstaff\n2349\tn03250847\t2169\tdrumstick\n2350\tn03715669\t2169\tmallet, hammer\n2351\tn02949202\t2342\tcane\n2352\tn04374315\t2342\tsword cane, sword stick\n2353\tn02806379\t2344\tbat\n2354\tn04381724\t2344\ttable-tennis racquet, table-tennis bat, pingpong paddle\n2355\tn04491388\t2344\ttruncheon, nightstick, baton, billy, billystick, billy club\n2356\tn02698634\t2348\talpenstock\n2357\tn03355925\t2348\tflagpole, flagstaff\n2358\tn03141823\t2348\tcrutch\n2359\tn03274265\t2170\telectric toothbrush\n2360\tn04453156\t2170\ttoothbrush\n2361\tn04122349\t2170\tsable, sable brush, sable's hair pencil\n2362\tn04156140\t2170\tscrub brush, scrubbing brush, scrubber\n2363\tn03475581\t2170\thairbrush\n2364\tn02902687\t2170\tbristle brush\n2365\tn04185946\t2170\tshaving brush\n2366\tn03908714\t2172\tpencil sharpener\n2367\tn04310904\t2172\tsteel\n2368\tn03145522\t2173\tcue, cue stick, pool cue, pool stick\n2369\tn04039381\t2173\tracket, racquet\n2370\tn04292414\t2369\tsquash racket, squash racquet, bat\n2371\tn04409806\t2369\ttennis racket, tennis racquet\n2372\tn02772700\t2369\tbadminton racket, badminton racquet, battledore\n2373\tn04426316\t2174\tthong\n2374\tn04333129\t2174\tstrap\n2375\tn03012013\t2374\tcheekpiece\n2376\tn04072551\t2374\trein\n2377\tn03831382\t2374\tnoseband, nosepiece\n2378\tn03651843\t2374\tleading rein\n2379\tn04156946\t2177\tscull\n2380\tn03873416\t2177\tpaddle, boat paddle\n2381\tn02831894\t2179\tbesom\n2382\tn04150153\t2179\tscouring pad\n2383\tn03258905\t2179\tdustmop, dust mop, dry mop\n2384\tn04292921\t2179\tsqueegee\n2385\tn02906734\t2179\tbroom\n2386\tn04367480\t2179\tswab, swob, mop\n2387\tn04111190\t2180\trotating shaft, shaft\n2388\tn04549629\t2180\twand\n2389\tn04182322\t2180\tshaft\n2390\tn03949317\t2180\tpiston rod\n2391\tn03616428\t2180\tkickstand\n2392\tn02764779\t2180\taxle\n2393\tn03976657\t2180\tpole\n2394\tn03351979\t2180\tfishing rod, fishing pole\n2395\tn03091044\t2180\tconnecting rod\n2396\tn04434531\t2180\ttie rod\n2397\tn03244231\t2387\tdriveshaft\n2398\tn03127408\t2387\tcrankshaft\n2399\tn04472563\t2387\ttransmission shaft\n2400\tn04277493\t2387\tspindle, mandrel, mandril, arbor\n2401\tn02946824\t2387\tcamshaft\n2402\tn02871824\t2393\tboom, microphone boom\n2403\tn04319937\t2393\tstilt\n2404\tn04230603\t2393\tski pole\n2405\tn03051396\t2393\tclothes tree, coat tree, coat stand\n2406\tn02931836\t2393\tcaber\n2407\tn04267577\t2393\tspar\n2408\tn03726993\t2393\tmast\n2409\tn03726760\t2407\tmast\n2410\tn02883004\t2407\tbowsprit\n2411\tn04610676\t2407\tyard\n2412\tn03775847\t2409\tmizzenmast, mizenmast, mizzen, mizen\n2413\tn04115996\t2409\troyal mast\n2414\tn03711999\t2409\tmainmast\n2415\tn03382856\t2409\tforemast\n2416\tn03374372\t2394\tfly rod\n2417\tn04279353\t2394\tspinning rod\n2418\tn03908204\t2181\tpencil\n2419\tn03906997\t2181\tpen\n2420\tn03518943\t2181\thighlighter\n2421\tn03003091\t2181\tchalk\n2422\tn03128248\t2181\tcrayon, wax crayon\n2423\tn03652100\t2181\tlead pencil\n2424\tn02783161\t2419\tballpoint, ballpoint pen, ballpen, Biro\n2425\tn04185529\t2419\tSharpie\n2426\tn04033901\t2419\tquill, quill pen\n2427\tn03388183\t2419\tfountain pen\n2428\tn03326948\t2419\tfelt-tip pen, felt-tipped pen, felt tip, Magic Marker\n2429\tn03405725\t1832\tfurniture, piece of furniture, article of furniture\n2430\tn03842156\t2429\toffice furniture\n2431\tn03200906\t2429\tdining-room furniture\n2432\tn04550184\t2429\twardrobe, closet, press\n2433\tn02821943\t2429\tbedroom furniture\n2434\tn04379243\t2429\ttable\n2435\tn04379964\t2429\ttable\n2436\tn04549122\t2429\twall unit\n2437\tn03636649\t2429\tlamp\n2438\tn03201035\t2429\tdining-room table\n2439\tn04555400\t2429\twashstand, wash-hand stand\n2440\tn02912065\t2429\tbuffet, counter, sideboard\n2441\tn02933112\t2429\tcabinet\n2442\tn02766320\t2429\tbaby bed, baby's bed\n2443\tn02822579\t2429\tbedstead, bedframe\n2444\tn03649797\t2429\tlawn furniture\n2445\tn03129753\t2429\tcredenza, credence\n2446\tn02870880\t2429\tbookcase\n2447\tn03290653\t2429\tentertainment center\n2448\tn03298716\t2429\tetagere\n2449\tn04161981\t2429\tseat\n2450\tn04165409\t2429\tsectional\n2451\tn03015254\t2429\tchest of drawers, chest, bureau, dresser\n2452\tn03337140\t2430\tfile, file cabinet, filing cabinet\n2453\tn04104147\t2452\tRolodex\n2454\tn02963302\t2452\tcard index, card catalog, card catalogue\n2455\tn04529681\t2452\tvertical file\n2456\tn03050546\t2432\tclothes closet, clothespress\n2457\tn02739550\t2432\tarmoire\n2458\tn02818832\t2433\tbed\n2459\tn02831724\t2458\tberth, bunk, built in bed\n2460\tn03962852\t2458\tplatform bed\n2461\tn03540914\t2458\thospital bed\n2462\tn02920083\t2458\tbunk\n2463\tn04491638\t2458\ttrundle bed, trundle, truckle bed, truckle\n2464\tn03388549\t2458\tfour-poster\n2465\tn03115762\t2458\tcouch\n2466\tn02920259\t2458\tbunk bed, bunk\n2467\tn04503413\t2458\ttwin bed\n2468\tn04236809\t2458\tsleigh bed\n2469\tn04222210\t2458\tsingle bed\n2470\tn03482252\t2458\thammock, sack\n2471\tn03799876\t2458\tMurphy bed\n2472\tn03225988\t2458\tdouble bed\n2473\tn03414676\t2434\tgaming table\n2474\tn03465426\t2434\tgueridon\n2475\tn04381587\t2434\ttable-tennis table, ping-pong table, pingpong table\n2476\tn03116530\t2434\tcounter\n2477\tn02699629\t2434\taltar, communion table, Lord's table\n2478\tn02894337\t2434\tbreakfast table\n2479\tn04301000\t2434\tstand\n2480\tn03090000\t2434\tconference table, council table, council board\n2481\tn03904060\t2434\tpedestal table\n2482\tn03620967\t2434\tkitchen table\n2483\tn03850492\t2434\toperating table\n2484\tn04398951\t2434\ttea table\n2485\tn03653583\t2434\tlectern, reading desk\n2486\tn04603729\t2434\tworktable, work table\n2487\tn03428226\t2434\tgateleg table\n2488\tn03238586\t2434\tdressing table, dresser, vanity, toilet table\n2489\tn03179701\t2434\tdesk\n2490\tn03246933\t2434\tdrop-leaf table\n2491\tn03063968\t2434\tcoffee table, cocktail table\n2492\tn04480033\t2434\ttrestle table\n2493\tn03092883\t2434\tconsole table, console\n2494\tn03011741\t2476\tcheckout, checkout counter\n2495\tn02789487\t2476\tbar\n2496\tn03735963\t2476\tmeat counter\n2497\tn04061681\t2476\treception desk\n2498\tn04130143\t2495\tsalad bar\n2499\tn04247736\t2495\tsnack bar, snack counter, buffet\n2500\tn03231368\t2486\tdrafting table, drawing table\n2501\tn03630262\t2486\tlab bench, laboratory bench\n2502\tn04608329\t2489\twriting desk\n2503\tn04164868\t2489\tsecretary, writing table, escritoire, secretaire\n2504\tn03164722\t2489\tdavenport\n2505\tn03201208\t2435\tdining table, board\n2506\tn03202354\t2505\tdinner table\n2507\tn04067921\t2505\trefectory table\n2508\tn03367059\t2437\tfloor lamp\n2509\tn04380533\t2437\ttable lamp\n2510\tn04057981\t2437\treading lamp\n2511\tn03237340\t2441\tdresser\n2512\tn03018349\t2441\tchina cabinet, china closet\n2513\tn03742115\t2441\tmedicine chest, medicine cabinet\n2514\tn02804414\t2442\tbassinet\n2515\tn03131574\t2442\tcrib, cot\n2516\tn02970534\t2442\tcarrycot\n2517\tn03125729\t2442\tcradle\n2518\tn03001627\t2449\tchair\n2519\tn04447861\t2449\ttoilet seat\n2520\tn04326896\t2449\tstool\n2521\tn04256520\t2449\tsofa, couch, lounge\n2522\tn03858418\t2449\tottoman, pouf, pouffe, puff, hassock\n2523\tn02828884\t2449\tbench\n2524\tn03649674\t2518\tlawn chair, garden chair\n2525\tn03002711\t2518\tchaise longue, chaise, daybed\n2526\tn04099969\t2518\trocking chair, rocker\n2527\tn04373704\t2518\tswivel chair\n2528\tn04429376\t2518\tthrone\n2529\tn04331277\t2518\tstraight chair, side chair\n2530\tn03632729\t2518\tladder-back, ladder-back chair\n2531\tn03518445\t2518\thighchair, feeding chair\n2532\tn02738535\t2518\tarmchair\n2533\tn04590933\t2518\tWindsor chair\n2534\tn03376595\t2518\tfolding chair\n2535\tn04576002\t2518\twheelchair\n2536\tn03790953\t2518\tmotorized wheelchair\n2537\tn02791124\t2518\tbarber chair\n2538\tn03262932\t2532\teasy chair, lounge chair, overstuffed chair\n2539\tn04062428\t2532\trecliner, reclining chair, lounger\n2540\tn03786621\t2532\tMorris chair\n2541\tn04593077\t2532\twing chair\n2542\tn03168217\t2534\tdeck chair, beach chair\n2543\tn02946270\t2534\tcamp chair\n2544\tn03801880\t2520\tmusic stool, piano stool\n2545\tn04382438\t2520\ttaboret, tabouret\n2546\tn03380724\t2520\tfootstool, footrest, ottoman, tuffet\n2547\tn04177755\t2521\tsettee\n2548\tn03165096\t2521\tdaybed, divan bed\n2549\tn03100346\t2521\tconvertible, sofa bed\n2550\tn03693474\t2521\tlove seat, loveseat, tete-a-tete, vis-a-vis\n2551\tn03015149\t2549\tchesterfield\n2552\tn04344873\t2549\tstudio couch, day bed\n2553\tn03891251\t2523\tpark bench\n2554\tn03360622\t2523\tflat bench\n2555\tn03920867\t2523\tpew, church bench\n2556\tn04177820\t2523\tsettle, settee\n2557\tn04590021\t2523\twindow seat\n2558\tn03016953\t2451\tchiffonier, commode\n2559\tn03518305\t2451\thighboy, tallboy\n2560\tn02843553\t1833\tbird feeder, birdfeeder, feeder\n2561\tn03508101\t1833\theater, warmer\n2562\tn03666591\t1833\tlighter, light, igniter, ignitor\n2563\tn06791372\t1833\tsignal, signaling, sign\n2564\tn03099945\t1833\tconverter, convertor\n2565\tn03141702\t1833\tcrusher\n2566\tn03243218\t1833\tdrive\n2567\tn03626760\t1833\tknocker, doorknocker, rapper\n2568\tn03904909\t1833\tpeeler\n2569\tn03800933\t1833\tmusical instrument, instrument\n2570\tn04200537\t1833\tshoehorn\n2571\tn04198797\t1833\tshock absorber, shock, cushion\n2572\tn03699975\t1833\tmachine\n2573\tn03088707\t1833\tconductor\n2574\tn02776205\t1833\tbait, decoy, lure\n2575\tn04294212\t1833\tstabilizer, stabiliser\n2576\tn03339643\t1833\tfilter\n2577\tn03738472\t1833\tmechanism\n2578\tn02676261\t1833\tacoustic device\n2579\tn04474466\t1833\ttrap\n2580\tn03008976\t1833\tcharger, battery charger\n2581\tn02688443\t1833\tairfoil, aerofoil, control surface, surface\n2582\tn04114844\t1833\trouter\n2583\tn03929660\t1833\tpick, plectrum, plectron\n2584\tn03287351\t1833\tenergizer, energiser\n2585\tn03320046\t1833\tfan\n2586\tn03553019\t1833\thydrofoil, foil\n2587\tn03175604\t1833\tdental appliance\n2588\tn02678897\t1833\tadapter, adaptor\n2589\tn04461879\t1833\ttoy\n2590\tn04359589\t1833\tsupport\n2591\tn03851341\t1833\toptical device\n2592\tn04331639\t1833\tstraightener\n2593\tn04450749\t1833\ttongs, pair of tongs\n2594\tn03923918\t1833\tphonograph needle, needle\n2595\tn03574816\t1833\tinstrument\n2596\tn03074855\t1833\tcomb\n2597\tn04074963\t1833\tremote control, remote\n2598\tn03302790\t1833\texercise device\n2599\tn03075768\t1833\tcomforter, pacifier, baby's dummy, teething ring\n2600\tn04554406\t1833\twashboard\n2601\tn04210120\t1833\tshredder\n2602\tn04562262\t1833\twater ski\n2603\tn02855089\t1833\tblower\n2604\tn04526964\t1833\tventilator\n2605\tn02895606\t1833\tbreathing device, breathing apparatus, breathing machine, ventilator\n2606\tn02730265\t1833\tapplicator, applier\n2607\tn04226826\t1833\tskeleton key\n2608\tn03467796\t1833\tguitar pick\n2609\tn04081844\t1833\trestraint, constraint\n2610\tn03614007\t1833\tkeyboard\n2611\tn03269401\t1833\telectrical device\n2612\tn02729965\t1833\tappliance, contraption, contrivance, convenience, gadget, gizmo, gismo, widget\n2613\tn03345837\t1833\tfire extinguisher, extinguisher, asphyxiator\n2614\tn03111899\t1833\tcorrective, restorative\n2615\tn04069276\t1833\treflector\n2616\tn02694426\t1833\talarm, warning device, alarm system\n2617\tn03277771\t1833\telectronic device\n2618\tn04252331\t1833\tsnowshoe\n2619\tn03525827\t1833\tholding device\n2620\tn03744840\t1833\tmemory device, storage device\n2621\tn03613294\t1833\tkey\n2622\tn03827536\t1833\tnoisemaker\n2623\tn04263760\t1833\tsource of illumination\n2624\tn03568117\t1833\tindicator\n2625\tn03180969\t1833\tdetector, sensor, sensing element\n2626\tn02895438\t1833\tbreathalyzer, breathalyser\n2627\tn03565288\t1833\timprint\n2628\tn02683558\t1833\tafterburner\n2629\tn03537241\t1833\thorn\n2630\tn03267972\t1833\telastic device\n2631\tn04228054\t1833\tski\n2632\tn03664675\t1833\tlifting device\n2633\tn04258333\t2561\tsolar heater\n2634\tn03272239\t2561\telectric heater, electric fire\n2635\tn04041069\t2561\tradiator\n2636\tn03423479\t2561\tgas heater\n2637\tn03099147\t2561\tconvector\n2638\tn04265275\t2561\tspace heater\n2639\tn04330267\t2561\tstove\n2640\tn03031422\t2562\tcigar lighter, cigarette lighter, pocket lighter\n2641\tn03728437\t2562\tmatch, lucifer, friction match\n2642\tn07273802\t2563\tcairn\n2643\tn06793231\t2563\tsign\n2644\tn06794110\t2563\tstreet sign\n2645\tn06874185\t2563\ttraffic light, traffic signal, stoplight\n2646\tn03269203\t2564\telectrical converter\n2647\tn02981321\t2564\tcatalytic converter\n2648\tn03582959\t2646\tinverter\n2649\tn04375405\t2646\tsynchronous converter, rotary, rotary converter\n2650\tn03307792\t2566\texternal drive\n2651\tn02988963\t2566\tCD-ROM drive\n2652\tn03580518\t2566\tinternal drive\n2653\tn04338517\t2569\tstringed instrument\n2654\tn03279153\t2569\telectronic instrument, electronic musical instrument\n2655\tn03614532\t2569\tkeyboard instrument\n2656\tn04586932\t2569\twind instrument, wind\n2657\tn02803349\t2569\tbass\n2658\tn03915437\t2569\tpercussion instrument, percussive instrument\n2659\tn03254862\t2653\tdulcimer\n2660\tn03025886\t2653\tchordophone\n2661\tn02787622\t2653\tbanjo\n2662\tn04615226\t2653\tzither, cither, zithern\n2663\tn04132603\t2653\tsamisen, shamisen\n2664\tn03467517\t2653\tguitar\n2665\tn02880546\t2653\tbowed stringed instrument, string\n2666\tn04224842\t2653\tsitar\n2667\tn03698360\t2660\tlute\n2668\tn03716887\t2660\tmandola\n2669\tn03716966\t2660\tmandolin\n2670\tn03495258\t2660\tharp\n2671\tn02676566\t2664\tacoustic guitar\n2672\tn03499907\t2664\tHawaiian guitar, steel guitar\n2673\tn04506289\t2664\tuke, ukulele\n2674\tn03272010\t2664\telectric guitar\n2675\tn04536153\t2665\tviol\n2676\tn04536866\t2665\tviolin, fiddle\n2677\tn02992211\t2665\tcello, violoncello\n2678\tn04536335\t2665\tviola\n2679\tn04536595\t2665\tviola da gamba, gamba, bass viol\n2680\tn04330998\t2665\tStradavarius, Strad\n2681\tn04419642\t2654\ttheremin\n2682\tn03273551\t2654\telectric organ, electronic organ, Hammond organ, organ\n2683\tn04376400\t2654\tsynthesizer, synthesiser\n2684\tn03928116\t2655\tpiano, pianoforte, forte-piano\n2685\tn03039015\t2655\tclavier, Klavier\n2686\tn03854065\t2655\torgan, pipe organ\n2687\tn02672831\t2655\taccordion, piano accordion, squeeze box\n2688\tn03452741\t2684\tgrand piano, grand\n2689\tn04515003\t2684\tupright, upright piano\n2690\tn04278353\t2684\tspinet\n2691\tn03738066\t2684\tmechanical piano, Pianola, player piano\n2692\tn02766792\t2688\tbaby grand, baby grand piano, parlor grand, parlor grand piano, parlour grand, parlour grand piano\n2693\tn03086457\t2688\tconcert grand, concert piano\n2694\tn03496296\t2685\tharpsichord, cembalo\n2695\tn04278247\t2685\tspinet\n2696\tn03840681\t2656\tocarina, sweet potato\n2697\tn04598582\t2656\twoodwind, woodwind instrument, wood\n2698\tn02891788\t2656\tbrass, brass instrument\n2699\tn03854815\t2656\torgan pipe, pipe, pipework\n2700\tn03393324\t2656\tfree-reed instrument\n2701\tn04579667\t2656\twhistle\n2702\tn03945615\t2656\tpipe\n2703\tn03609397\t2656\tkazoo\n2704\tn03372029\t2697\tflute, transverse flute\n2705\tn02817799\t2697\tbeating-reed instrument, reed instrument, reed\n2706\tn03228016\t2705\tdouble-reed instrument, double reed\n2707\tn04222847\t2705\tsingle-reed instrument, single-reed woodwind\n2708\tn02804610\t2706\tbassoon\n2709\tn03838899\t2706\toboe, hautboy, hautbois\n2710\tn03037709\t2707\tclarinet\n2711\tn04141076\t2707\tsax, saxophone\n2712\tn02793089\t2698\tbaritone, baritone horn\n2713\tn02912894\t2698\tbugle\n2714\tn03369276\t2698\tflugelhorn, fluegelhorn\n2715\tn03394916\t2698\tFrench horn, horn\n2716\tn04487394\t2698\ttrombone\n2717\tn03110669\t2698\tcornet, horn, trumpet, trump\n2718\tn03494537\t2700\tharmonium, organ, reed organ\n2719\tn03494278\t2700\tharmonica, mouth organ, harp, mouth harp\n2720\tn03086670\t2700\tconcertina\n2721\tn03006626\t2702\tchanter, melody pipe\n2722\tn03884397\t2702\tpanpipe, pandean pipe, syrinx\n2723\tn02775483\t2702\tbagpipe\n2724\tn03343354\t2702\tfipple flute, fipple pipe, recorder, vertical flute\n2725\tn03912218\t2702\tpennywhistle, tin whistle, whistle\n2726\tn03245724\t2702\tdrone, drone pipe, bourdon\n2727\tn02803934\t2657\tbass fiddle, bass viol, bull fiddle, double bass, contrabass, string bass\n2728\tn02804252\t2657\tbass horn, sousaphone, tuba\n2729\tn02804123\t2657\tbass guitar\n2730\tn03301568\t2657\teuphonium\n2731\tn03483230\t2658\thandbell\n2732\tn02869249\t2658\tbones, castanets, clappers, finger cymbals\n2733\tn03447721\t2658\tgong, tam-tam\n2734\tn04532831\t2658\tvibraphone, vibraharp, vibes\n2735\tn04311174\t2658\tsteel drum\n2736\tn03721384\t2658\tmarimba, xylophone\n2737\tn03440682\t2658\tglockenspiel, orchestral bells\n2738\tn03017168\t2658\tchime, bell, gong\n2739\tn03612965\t2658\tkettle, kettledrum, tympanum, tympani, timpani\n2740\tn03720891\t2658\tmaraca\n2741\tn03249569\t2658\tdrum, membranophone, tympan\n2742\tn03157348\t2658\tcymbal\n2743\tn02869737\t2741\tbongo, bongo drum\n2744\tn02803666\t2741\tbass drum, gran casa\n2745\tn04387400\t2741\ttambourine\n2746\tn04249415\t2741\tsnare drum, snare, side drum\n2747\tn04410086\t2741\ttenor drum, tom-tom\n2748\tn04243941\t2572\tslot machine, coin machine\n2749\tn03996416\t2572\tpower shovel, excavator, digger, shovel\n2750\tn03999992\t2572\tpress, mechanical press\n2751\tn02769290\t2572\tbackhoe\n2752\tn04004475\t2572\tprinter, printing machine\n2753\tn03702248\t2572\tmachine tool\n2754\tn03789946\t2572\tmotor\n2755\tn04252653\t2572\tsnow thrower, snow blower\n2756\tn02977058\t2572\tcash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM\n2757\tn03322940\t2572\tfarm machine\n2758\tn03082979\t2572\tcomputer, computing machine, computing device, data processor, electronic computer, information processing system\n2759\tn04613939\t2572\tZamboni\n2760\tn03765561\t2572\tmill, grinder, milling machinery\n2761\tn04303357\t2572\tstaple gun, staplegun, tacker\n2762\tn03997484\t2572\tpower tool\n2763\tn03087069\t2572\tconcrete mixer, cement mixer\n2764\tn04303497\t2572\tstapler, stapling machine\n2765\tn04237423\t2572\tslicer\n2766\tn04417180\t2572\ttextile machine\n2767\tn04064401\t2572\trecord player, phonograph\n2768\tn02938886\t2572\tcalculator, calculating machine\n2769\tn04525305\t2748\tvending machine\n2770\tn04243546\t2748\tslot, one-armed bandit\n2771\tn02760199\t2748\tautomat\n2772\tn03418915\t2750\tgarlic press\n2773\tn02829596\t2750\tbench press\n2774\tn03551395\t2750\thydraulic press\n2775\tn04024274\t2750\tpunch press\n2776\tn03007591\t2752\tcharacter printer, character-at-a-time printer, serial printer\n2777\tn03563200\t2752\timpact printer\n2778\tn04004767\t2752\tprinter\n2779\tn03250405\t2752\tdrum printer\n2780\tn03672827\t2752\tline printer, line-at-a-time printer\n2781\tn03643737\t2752\tlaser printer\n2782\tn03675235\t2752\tLinotype, Linotype machine\n2783\tn04419868\t2752\tthermal printer\n2784\tn03985069\t2776\tportable\n2785\tn04505036\t2776\ttypewriter\n2786\tn02794664\t2777\tbar printer\n2787\tn04595285\t2777\twire matrix printer, wire printer, stylus printer\n2788\tn03225777\t2778\tdot matrix printer, matrix printer, dot printer\n2789\tn02909285\t2788\tbubble jet printer, bubble-jet printer, bubblejet\n2790\tn03571942\t2788\tink-jet printer\n2791\tn04184435\t2753\tshaper, shaping machine\n2792\tn03240892\t2753\tdrill press\n2793\tn03460040\t2753\tgrinder\n2794\tn03646296\t2791\tlathe\n2795\tn03766044\t2791\tmiller, milling machine\n2796\tn03287733\t2754\tengine\n2797\tn03273061\t2754\telectric motor\n2798\tn03507963\t2796\theat engine\n2799\tn03596285\t2796\tjet engine\n2800\tn02761557\t2796\tautomobile engine\n2801\tn02687423\t2796\taircraft engine\n2802\tn03433877\t2796\tgenerator\n2803\tn04309049\t2798\tsteam engine\n2804\tn03579982\t2798\tinternal-combustion engine, ICE\n2805\tn04591517\t2804\twind turbine\n2806\tn03424630\t2804\tgasoline engine, petrol engine\n2807\tn03193107\t2804\tdiesel, diesel engine, diesel motor\n2808\tn03859000\t2804\toutboard motor, outboard\n2809\tn04040373\t2804\tradial engine, rotary engine\n2810\tn04099175\t2799\trocket, rocket engine\n2811\tn03321103\t2799\tfanjet, fan-jet, fanjet engine, turbojet, turbojet engine, turbofan, turbofan engine\n2812\tn02872333\t2810\tbooster, booster rocket, booster unit, takeoff booster, takeoff rocket\n2813\tn04265904\t2810\tspace rocket\n2814\tn02700064\t2802\talternator\n2815\tn04587404\t2802\twindmill, aerogenerator, wind generator\n2816\tn04304375\t2797\tstarter, starter motor, starting motor\n2817\tn03616763\t2797\tkick starter, kick start\n2818\tn03146846\t2757\tcultivator, tiller\n2819\tn03500699\t2757\thaymaker, hay conditioner\n2820\tn03075634\t2757\tcombine\n2821\tn04428191\t2757\tthresher, thrasher, threshing machine\n2822\tn03496892\t2757\tharvester, reaper\n2823\tn03210245\t2818\tdisk harrow, disc harrow\n2824\tn03496612\t2818\tharrow\n2825\tn04238763\t2758\tslide rule, slipstick\n2826\tn06359193\t2758\tweb site, website, internet site, site\n2827\tn03528523\t2758\thome computer\n2828\tn04175147\t2758\tserver, host\n2829\tn03196324\t2758\tdigital computer\n2830\tn04358117\t2829\tsupercomputer\n2831\tn04603399\t2829\tworkstation\n2832\tn03918480\t2829\tpersonal computer, PC, microcomputer\n2833\tn03985232\t2832\tportable computer\n2834\tn03180011\t2832\tdesktop computer\n2835\tn03832673\t2833\tnotebook, notebook computer\n2836\tn03956785\t2833\tplanner\n2837\tn03642806\t2833\tlaptop, laptop computer\n2838\tn03485407\t2833\thand-held computer, hand-held microcomputer\n2839\tn03914337\t2760\tpepper mill, pepper grinder\n2840\tn04561422\t2760\twater mill\n2841\tn03736064\t2760\tmeat grinder\n2842\tn03063485\t2760\tcoffee mill, coffee grinder\n2843\tn04477219\t2760\ttreadmill, treadwheel, tread-wheel\n2844\tn04587559\t2760\twindmill\n2845\tn03272125\t2762\telectric hammer\n2846\tn03996145\t2762\tpower saw, saw, sawing machine\n2847\tn02911332\t2762\tbuffer, polisher\n2848\tn03034663\t2846\tcircular saw, buzz saw\n2849\tn03000684\t2846\tchain saw, chainsaw\n2850\tn04380916\t2846\ttable saw\n2851\tn04121728\t2846\tsaber saw, jigsaw, reciprocating saw\n2852\tn02786837\t2846\tbandsaw, band saw\n2853\tn04279462\t2766\tspinning wheel\n2854\tn03689157\t2766\tloom\n2855\tn03604156\t2767\tjukebox, nickelodeon\n2856\tn03452267\t2767\tgramophone, acoustic gramophone\n2857\tn02666196\t2768\tabacus\n2858\tn02679257\t2768\tadding machine, totalizer, totaliser\n2859\tn03483823\t2768\thand calculator, pocket calculator\n2860\tn04171831\t2573\tsemiconductor device, semiconductor unit, semiconductor\n2861\tn04594489\t2573\twire, conducting wire\n2862\tn03106898\t2573\tcord, electric cord\n2863\tn03510244\t2573\theat sink\n2864\tn02934168\t2573\tcable, line, transmission line\n2865\tn03760310\t2860\tmicroprocessor\n2866\tn04471632\t2860\ttransistor, junction transistor, electronic transistor\n2867\tn03666362\t2860\tlight-emitting diode, LED\n2868\tn03020034\t2860\tchip, microchip, micro chip, silicon chip, microprocessor chip\n2869\tn03336575\t2861\tfilament\n2870\tn03604843\t2861\tjumper cable, jumper lead, lead, booster cable\n2871\tn04402984\t2861\ttelephone wire, telephone line, telegraph wire, telegraph line\n2872\tn03898129\t2861\tpatchcord\n2873\tn04401828\t2861\ttelephone cord, phone cord\n2874\tn03995265\t2862\tpower cord\n2875\tn03307037\t2862\textension cord\n2876\tn03300443\t2864\tethernet cable\n2877\tn03268918\t2864\telectrical cable\n2878\tn04004990\t2864\tprinter cable\n2879\tn03995535\t2864\tpower line, power cable\n2880\tn03350602\t2574\tfisherman's lure, fish lure\n2881\tn03373237\t2880\tfly\n2882\tn03251932\t2881\tdry fly\n2883\tn04573937\t2881\twet fly\n2884\tn04334365\t2881\tstreamer fly\n2885\tn03861271\t2575\toutrigger\n2886\tn04520784\t2575\tvane\n2887\tn04332243\t2576\tstrainer\n2888\tn02688273\t2576\tair filter, air cleaner\n2889\tn03843555\t2576\toil filter\n2890\tn04216634\t2887\tsieve, screen\n2891\tn04398834\t2887\ttea-strainer\n2892\tn03066849\t2887\tcolander, cullender\n2893\tn03407865\t2577\tfusee drive, fusee\n2894\tn02710201\t2577\tandroid, humanoid, mechanical man\n2895\tn04040759\t2577\tradiator\n2896\tn03736970\t2577\tmechanical device\n2897\tn04110955\t2577\trotating mechanism\n2898\tn04112430\t2577\trotor head, rotor shaft\n2899\tn02969010\t2577\tcarriage\n2900\tn03096960\t2577\tcontrol, controller\n2901\tn03996849\t2577\tpower steering, power-assisted steering\n2902\tn02761392\t2577\tautomaton, robot, golem\n2903\tn02677718\t2577\taction, action mechanism\n2904\tn03102859\t2577\tcooling system, cooling\n2905\tn03431243\t2577\tgear, gear mechanism\n2906\tn04392764\t2577\ttape drive, tape transport, transport\n2907\tn03339529\t2577\tfilm advance\n2908\tn04289027\t2896\tsprinkler\n2909\tn04011827\t2896\tpropeller, propellor\n2910\tn02709367\t2896\tanchor, ground tackle\n2911\tn03446268\t2896\tgolf-club head, club head, club-head, clubhead\n2912\tn04568069\t2896\tweathervane, weather vane, vane, wind vane\n2913\tn03700963\t2896\tmachine, simple machine\n2914\tn04167346\t2896\tseeder\n2915\tn04021798\t2896\tpump\n2916\tn03432129\t2896\tgearshift, gearstick, shifter, gear lever\n2917\tn04088797\t2896\tride\n2918\tn02918595\t2896\tbumper\n2919\tn03532672\t2896\thook, claw\n2920\tn04228215\t2896\tski binding, binding\n2921\tn03119510\t2896\tcoupling, coupler\n2922\tn04063154\t2896\trecord changer, auto-changer, changer\n2923\tn04371774\t2896\tswing\n2924\tn04590746\t2896\twindshield wiper, windscreen wiper, wiper, wiper blade\n2925\tn04586581\t2896\twinder, key\n2926\tn04586421\t2896\twinder\n2927\tn03189083\t2896\tdiaphragm, stop\n2928\tn04211528\t2896\tshutter\n2929\tn03296081\t2896\tescapement\n2930\tn02903204\t2896\tbroadcaster, spreader\n2931\tn03150232\t2896\tcurler, hair curler, roller, crimper\n2932\tn04282494\t2896\tsplint\n2933\tn03082807\t2896\tcompressor\n2934\tn02686227\t2896\tair compressor\n2935\tn02962200\t2896\tcarburetor, carburettor\n2936\tn03198500\t2896\tdildo\n2937\tn02973017\t2896\tcartridge holder, cartridge clip, clip, magazine\n2938\tn04475411\t2896\ttrapeze\n2939\tn03431745\t2896\tgearing, gear, geartrain, power train, train\n2940\tn04306592\t2896\tstator, stator coil\n2941\tn02692086\t2909\tairplane propeller, airscrew, prop\n2942\tn04154152\t2909\tscrew, screw propeller\n2943\tn04020298\t2913\tpulley, pulley-block, pulley block, block\n2944\tn04574999\t2913\twheel\n2945\tn03559999\t2913\tidle pulley, idler pulley, idle wheel\n2946\tn03659809\t2913\tlever\n2947\tn03566329\t2913\tinclined plane\n2948\tn03767203\t2944\tmillwheel, mill wheel\n2949\tn04563204\t2944\twaterwheel, water wheel\n2950\tn04101701\t2944\troller\n2951\tn02836035\t2944\tbicycle wheel\n2952\tn02980036\t2944\tcaster, castor\n2953\tn03460147\t2944\tgrinding wheel, emery wheel\n2954\tn04115144\t2944\trowel\n2955\tn03334912\t2944\tfifth wheel, spare\n2956\tn04543772\t2944\twagon wheel\n2957\tn04563413\t2944\twaterwheel, water wheel\n2958\tn02974003\t2944\tcar wheel\n2959\tn04289690\t2944\tsprocket, sprocket wheel\n2960\tn03944341\t2944\tpinwheel\n2961\tn03992509\t2944\tpotter's wheel\n2962\tn03430551\t2944\tgear, gear wheel, geared wheel, cogwheel\n2963\tn03244919\t2944\tdriving wheel\n2964\tn03874293\t2944\tpaddlewheel, paddle wheel\n2965\tn04113194\t2944\troulette, toothed wheel\n2966\tn04290507\t2962\tspur gear, spur wheel\n2967\tn02833793\t2962\tbevel gear, pinion and crown wheel, pinion and ring gear\n2968\tn03943115\t2962\tpinion\n2969\tn04051549\t2947\tramp, incline\n2970\tn02764505\t2947\tax head, axe head\n2971\tn04154340\t2947\tscrew\n2972\tn03456299\t2915\tgrease-gun, gun\n2973\tn03425413\t2915\tgas pump, gasoline pump, petrol pump, island dispenser\n2974\tn02835724\t2915\tbicycle pump\n2975\tn04354487\t2915\tsump pump\n2976\tn03487886\t2915\thand pump\n2977\tn02995871\t2915\tcentrifugal pump\n2978\tn03329302\t2917\tFerris wheel\n2979\tn04102406\t2917\troller coaster, big dipper, chute-the-chute\n2980\tn02966193\t2917\tcarousel, carrousel, merry-go-round, roundabout, whirligig\n2981\tn04510706\t2921\tuniversal joint, universal\n2982\tn03054901\t2921\tclutch\n2983\tn03393761\t2982\tfreewheel\n2984\tn03209359\t2982\tdisk clutch\n2985\tn02860415\t2926\tbobbin, spool, reel\n2986\tn04067472\t2926\treel\n2987\tn04211857\t2926\tshuttle\n2988\tn02848523\t2897\tblade, vane\n2989\tn03473227\t2897\tgyroscope, gyro\n2990\tn03032811\t2897\tcircle, round\n2991\tn04111668\t2897\trotor\n2992\tn03873699\t2988\tpaddle\n2993\tn03563460\t2988\timpeller\n2994\tn03320421\t2988\tfan blade\n2995\tn03208556\t2990\tdisk, disc\n2996\tn04019541\t2995\tpuck, hockey puck\n2997\tn02890188\t2995\tbrake disk\n2998\tn04448361\t2995\ttoken\n2999\tn03397947\t2995\tFrisbee\n3000\tn03954393\t2995\tplanchet, coin blank\n3001\tn04385799\t2991\ttail rotor, anti-torque rotor\n3002\tn03712111\t2991\tmain rotor\n3003\tn04519153\t2900\tvalve\n3004\tn04313503\t2900\tsteering wheel, wheel\n3005\tn03450018\t2900\tgovernor, regulator\n3006\tn03602883\t2900\tjoystick\n3007\tn04072193\t2900\tregulator\n3008\tn04372370\t2900\tswitch, electric switch, electrical switch\n3009\tn02783459\t3003\tball valve\n3010\tn02927887\t3003\tbutterfly valve\n3011\tn04438507\t3005\ttimer\n3012\tn03374649\t3005\tflywheel\n3013\tn03325088\t3007\tfaucet, spigot\n3014\tn04422875\t3007\tthermostat, thermoregulator\n3015\tn02727141\t3007\taperture\n3016\tn03775636\t3013\tmixing faucet\n3017\tn04327682\t3013\tstopcock, cock, turncock\n3018\tn04445952\t3008\ttoggle switch, toggle, on-off switch, on/off switch\n3019\tn04027023\t3008\tpush button, push, button\n3020\tn03186818\t3008\tdial, telephone dial\n3021\tn03537412\t3019\thorn button\n3022\tn03793850\t3019\tmouse button\n3023\tn03222516\t3019\tdoorbell, bell, buzzer\n3024\tn02826589\t3019\tbell push\n3025\tn03363549\t2903\tflintlock\n3026\tn03795758\t2903\tmovement\n3027\tn03469493\t2903\tgunlock, firing mechanism\n3028\tn03103396\t2904\tcooling tower\n3029\tn03301833\t2904\tevaporative cooler\n3030\tn02686379\t2904\tair conditioner, air conditioning\n3031\tn03432061\t2905\tgearset\n3032\tn03389611\t2905\tfour-wheel drive, 4WD\n3033\tn04579432\t2578\twhistle\n3034\tn04218564\t2578\tsilencer, muffler\n3035\tn03743279\t2578\tmegaphone\n3036\tn03506560\t2578\thearing aid, ear trumpet\n3037\tn02824448\t2578\tbell\n3038\tn03123917\t3037\tcowbell\n3039\tn03028596\t3037\tchurch bell\n3040\tn03201529\t3037\tdinner bell\n3041\tn04275548\t2579\tspider web, spider's web\n3042\tn03794056\t2579\tmousetrap\n3043\tn03680858\t2579\tlobster pot\n3044\tn04568557\t2579\tweb, entanglement\n3045\tn03819994\t2579\tnet\n3046\tn03639077\t3045\tlanding net\n3047\tn03352628\t3045\tfishnet, fishing net\n3048\tn04529962\t2581\tvertical stabilizer, vertical stabiliser, vertical fin, tail fin, tailfin\n3049\tn04283255\t2581\tspoiler\n3050\tn04283096\t2581\tspoiler\n3051\tn04112252\t2581\trotor blade, rotary wing\n3052\tn03357716\t2581\tflap, flaps\n3053\tn04117464\t2581\trudder\n3054\tn03536122\t2581\thorizontal stabilizer, horizontal stabiliser, tailplane\n3055\tn04592741\t2581\twing\n3056\tn03303217\t2585\texhaust fan\n3057\tn03271574\t2585\telectric fan, blower\n3058\tn02887079\t2587\tbrace, braces, orthodontic braces\n3059\tn03176386\t2587\tdenture, dental plate, plate\n3060\tn02768114\t2590\tbackboard\n3061\tn04320973\t2590\tstirrup, stirrup iron\n3062\tn03933933\t2590\tpier\n3063\tn03934042\t2590\tpier\n3064\tn02767433\t2590\tback, backrest\n3065\tn04190052\t2590\tshelf\n3066\tn03638883\t2590\tlanding gear\n3067\tn02783994\t2590\tbaluster\n3068\tn04283378\t2590\tspoke, wheel spoke, radius\n3069\tn02797692\t2590\tbase, pedestal, stand\n3070\tn04314914\t2590\tstep, stair\n3071\tn02887209\t2590\tbrace\n3072\tn03938401\t2590\tpillow block\n3073\tn02817031\t2590\tbearing\n3074\tn04098513\t2590\trocker\n3075\tn03057920\t2590\tcoat hanger, clothes hanger, dress hanger\n3076\tn03495570\t2590\tharp\n3077\tn04081044\t2590\trest\n3078\tn02888569\t2590\tbracket, wall bracket\n3079\tn04386051\t2590\ttailstock\n3080\tn02871005\t2590\tbookend\n3081\tn04341414\t2590\tstructural member\n3082\tn03506184\t2590\theadstock\n3083\tn04161358\t2590\tseat\n3084\tn04430475\t2590\tthrust bearing\n3085\tn03490884\t2590\thanger\n3086\tn04038440\t2590\track, stand\n3087\tn03495039\t2590\tharness\n3088\tn02953455\t3064\tcantle\n3089\tn03632577\t3064\tladder-back\n3090\tn02871439\t3065\tbookshelf\n3091\tn03719343\t3065\tmantel, mantelpiece, mantle, mantlepiece, chimneypiece\n3092\tn03814639\t3071\tneck brace\n3093\tn03622839\t3071\tknee brace\n3094\tn02713003\t3071\tankle brace\n3095\tn02768655\t3071\tback brace\n3096\tn02737660\t3077\tarm\n3097\tn03505133\t3077\theadrest\n3098\tn03019685\t3077\tchin rest\n3099\tn02741475\t3077\tarmrest\n3100\tn04148579\t3078\tsconce\n3101\tn03105467\t3078\tcorbel, truss\n3102\tn04190376\t3078\tshelf bracket\n3103\tn04220036\t3081\tsill\n3104\tn04094720\t3081\triser\n3105\tn04515129\t3081\tupright, vertical\n3106\tn02886599\t3081\tbrace, bracing\n3107\tn04476831\t3081\ttread\n3108\tn02815950\t3081\tbeam\n3109\tn04590263\t3103\twindowsill\n3110\tn03223686\t3103\tdoorsill, doorstep, threshold\n3111\tn04318787\t3105\tstile\n3112\tn03592773\t3105\tjamb\n3113\tn03073977\t3105\tcolumn, pillar\n3114\tn03988170\t3105\tpost\n3115\tn04360798\t3113\tsupport column\n3116\tn02974348\t3113\tcaryatid\n3117\tn03443149\t3114\tgoalpost\n3118\tn03821518\t3114\tnewel post, newel\n3119\tn02864593\t3114\tbollard, bitt\n3120\tn03637181\t3114\tlamppost\n3121\tn04402449\t3114\ttelephone pole, telegraph pole, telegraph post\n3122\tn03733131\t3114\tmaypole\n3123\tn04436329\t3114\ttimber\n3124\tn04119751\t3106\trundle, spoke, rung\n3125\tn04433585\t3106\ttie, railroad tie, crosstie, sleeper\n3126\tn04045644\t3108\trafter, balk, baulk\n3127\tn03437941\t3108\tgirder\n3128\tn04436185\t3108\ttimber\n3129\tn03366974\t3108\tfloor joist\n3130\tn03601840\t3108\tjoist\n3131\tn02970685\t3083\tcar seat\n3132\tn03937931\t3083\tpillion\n3133\tn03955489\t3083\tplane seat\n3134\tn04123740\t3083\tsaddle\n3135\tn03002096\t3083\tchair\n3136\tn02835915\t3083\tbicycle seat, saddle\n3137\tn02910145\t3083\tbucket seat\n3138\tn02770830\t3083\tbackseat\n3139\tn04325041\t3134\tstock saddle, Western saddle\n3140\tn03288886\t3134\tEnglish saddle, English cavalry saddle\n3141\tn04485082\t3086\ttripod\n3142\tn04275175\t3086\tspice rack\n3143\tn03704549\t3086\tmagazine rack\n3144\tn03801760\t3086\tmusic stand, music rack\n3145\tn02943871\t3141\tcamera tripod\n3146\tn03262809\t3141\teasel\n3147\tn02759257\t2591\tautofocus\n3148\tn04009801\t2591\tprojector\n3149\tn03340723\t2591\tfinder, viewfinder, view finder\n3150\tn03643253\t2591\tlaser, optical maser\n3151\tn03656484\t2591\tlens, lense, lens system\n3152\tn03838298\t3151\tobjective, objective lens, object lens, object glass\n3153\tn03087366\t3151\tcondenser, optical condenser\n3154\tn02943241\t3151\tcamera lens, optical lens\n3155\tn02709101\t3151\tanastigmat\n3156\tn03094159\t3151\tcontact, contact lens\n3157\tn04355933\t3151\tsunglass\n3158\tn03309465\t3151\teyepiece, ocular\n3159\tn03333711\t3151\tfield lens\n3160\tn03395859\t3151\tFresnel lens\n3161\tn03987376\t3154\tportrait lens\n3162\tn03049782\t3154\tcloseup lens\n3163\tn04403413\t3154\ttelephoto lens, zoom lens\n3164\tn04583212\t3154\twide-angle lens, fisheye lens\n3165\tn03967396\t2595\tplotter\n3166\tn04147495\t2595\tscientific instrument\n3167\tn03733925\t2595\tmeasuring instrument, measuring system, measuring device\n3168\tn04565375\t2595\tweapon, arm, weapon system\n3169\tn03467068\t2595\tguillotine\n3170\tn03231160\t2595\tdrafting instrument\n3171\tn02708711\t2595\tanalyzer, analyser\n3172\tn03813176\t2595\tnavigational instrument\n3173\tn03852280\t2595\toptical instrument\n3174\tn03739693\t2595\tmedical instrument\n3175\tn03575958\t2595\tinstrument of punishment\n3176\tn02981911\t2595\tcatapult, arbalest, arbalist, ballista, bricole, mangonel, onager, trebuchet, trebucket\n3177\tn03308152\t2595\textractor\n3178\tn04419073\t2595\ttheodolite, transit\n3179\tn04089836\t2595\triding crop, hunting crop\n3180\tn04383015\t2595\ttachymeter, tacheometer\n3181\tn03070193\t3166\tcollider\n3182\tn03760944\t3166\tmicrotome\n3183\tn02670382\t3166\taccelerator, particle accelerator, atom smasher\n3184\tn04340521\t3166\tstroboscope, strobe, strobe light\n3185\tn03709206\t3166\tmagnifier\n3186\tn03092656\t3166\tconsole\n3187\tn04403638\t3185\ttelescope, scope\n3188\tn03760671\t3185\tmicroscope\n3189\tn02751295\t3187\tastronomical telescope\n3190\tn03293863\t3187\tequatorial\n3191\tn03852688\t3189\toptical telescope\n3192\tn04044716\t3189\tradio telescope, radio reflector\n3193\tn04070207\t3191\trefracting telescope\n3194\tn03333129\t3191\tfield glass, glass, spyglass\n3195\tn04068601\t3191\treflecting telescope, reflector\n3196\tn02978478\t3195\tCassegrainian telescope, Gregorian telescope\n3197\tn03822767\t3195\tNewtonian telescope, Newtonian reflector\n3198\tn04145863\t3195\tSchmidt telescope, Schmidt camera\n3199\tn03715114\t3195\tMaksutov telescope\n3200\tn03279508\t3188\telectron microscope\n3201\tn03332989\t3188\tfield-emission microscope\n3202\tn03667829\t3188\tlight microscope\n3203\tn02841506\t3202\tbinocular microscope\n3204\tn03484931\t3202\thand glass, simple microscope, magnifying glass\n3205\tn03850053\t3202\toperating microscope\n3206\tn03082280\t3202\tcompound microscope\n3207\tn03692522\t3202\tloupe, jeweler's loupe\n3208\tn03868643\t3167\toximeter\n3209\tn03247083\t3167\tdropper, eye dropper\n3210\tn04070415\t3167\trefractometer\n3211\tn04053508\t3167\trangefinder, range finder\n3212\tn02794156\t3167\tbarometer\n3213\tn03904782\t3167\tpedometer\n3214\tn04421872\t3167\tthermometer\n3215\tn02751215\t3167\tastrolabe\n3216\tn03735637\t3167\tmeasuring stick, measure, measuring rod\n3217\tn03429288\t3167\tgauge, gage\n3218\tn04437953\t3167\ttimepiece, timekeeper, horologe\n3219\tn02710600\t3167\taneroid barometer, aneroid\n3220\tn02939866\t3167\tcaliper, calliper\n3221\tn03991837\t3167\tpotentiometer\n3222\tn04382880\t3167\ttachometer, tach\n3223\tn04141975\t3167\tscale, weighing machine\n3224\tn04392113\t3167\ttape, tapeline, tape measure\n3225\tn03753077\t3167\tmeter\n3226\tn03554460\t3167\thygrometer\n3227\tn04180888\t3167\tsextant\n3228\tn04118776\t3167\trule, ruler\n3229\tn02699915\t3167\taltazimuth\n3230\tn04029734\t3214\tpyrometer\n3231\tn03736470\t3214\tmeat thermometer\n3232\tn04559730\t3217\twater gauge, water gage, water glass\n3233\tn04518343\t3217\tvacuum gauge, vacuum gage\n3234\tn02710429\t3217\tanemometer, wind gauge, wind gage\n3235\tn03424862\t3217\tgasoline gauge, gasoline gage, gas gauge, gas gage, petrol gauge, petrol gage\n3236\tn04001499\t3217\tpressure gauge, pressure gage\n3237\tn03718335\t3236\tmanometer\n3238\tn04274985\t3236\tsphygmomanometer\n3239\tn02753394\t3218\tatomic clock\n3240\tn03046257\t3218\tclock\n3241\tn04555897\t3218\twatch, ticker\n3242\tn04355338\t3218\tsundial\n3243\tn04438304\t3218\ttimer\n3244\tn03544143\t3218\thourglass\n3245\tn03452594\t3240\tgrandfather clock, longcase clock\n3246\tn03196217\t3240\tdigital clock\n3247\tn02694662\t3240\talarm clock, alarm\n3248\tn04548280\t3240\twall clock\n3249\tn02708093\t3240\tanalog clock\n3250\tn03909406\t3240\tpendulum clock\n3251\tn03145147\t3240\tcuckoo clock\n3252\tn03197337\t3241\tdigital watch\n3253\tn02708433\t3241\tanalog watch\n3254\tn03973839\t3241\tpocket watch\n3255\tn04607869\t3241\twristwatch, wrist watch\n3256\tn04328186\t3243\tstopwatch, stop watch\n3257\tn03891332\t3243\tparking meter\n3258\tn03026907\t3243\tchronograph\n3259\tn04528968\t3220\tvernier caliper, vernier micrometer\n3260\tn03759661\t3220\tmicrometer, micrometer gauge, micrometer caliper\n3261\tn02777100\t3223\tbalance\n3262\tn02708555\t3261\tanalytical balance, chemical balance\n3263\tn03277459\t3261\telectronic balance\n3264\tn03272810\t3225\telectric meter, power meter\n3265\tn03841143\t3225\todometer, hodometer, mileometer, milometer\n3266\tn02702989\t3225\tammeter\n3267\tn04273796\t3225\tspeedometer, speed indicator\n3268\tn03842986\t3225\tohmmeter\n3269\tn04561287\t3225\twater meter\n3270\tn04541320\t3225\tvoltmeter\n3271\tn03708843\t3225\tmagnetometer, gaussmeter\n3272\tn04449966\t3168\ttomahawk, hatchet\n3273\tn03467984\t3168\tgun\n3274\tn02879718\t3168\tbow\n3275\tn02880393\t3168\tbow and arrow\n3276\tn02892948\t3168\tbrass knucks, knucks, brass knuckles, knuckles, knuckle duster\n3277\tn03624134\t3168\tknife\n3278\tn04373894\t3168\tsword, blade, brand, steel\n3279\tn04346157\t3168\tstun gun, stun baton\n3280\tn04008634\t3168\tprojectile, missile\n3281\tn02715712\t3273\tantiaircraft, antiaircraft gun, flak, flack, pom-pom, ack-ack, ack-ack gun\n3282\tn03343853\t3273\tfirearm, piece, small-arm\n3283\tn04177041\t3273\tset gun, spring gun\n3284\tn02689274\t3273\tair gun, airgun, air rifle\n3285\tn03423306\t3273\tgas gun\n3286\tn03875955\t3273\tpaintball gun\n3287\tn02950826\t3273\tcannon\n3288\tn02759963\t3282\tautoloader, self-loader\n3289\tn03948459\t3282\tpistol, handgun, side arm, shooting iron\n3290\tn04502851\t3282\ttwenty-two, .22\n3291\tn03732020\t3282\tMauser\n3292\tn03803116\t3282\tmuzzle loader\n3293\tn04090263\t3282\trifle\n3294\tn04076284\t3282\trepeating firearm, repeater\n3295\tn04171459\t3288\tsemiautomatic firearm\n3296\tn02760429\t3288\tautomatic firearm, automatic gun, automatic weapon\n3297\tn03416775\t3295\tGarand rifle, Garand, M-1, M-1 rifle\n3298\tn03695857\t3295\tLuger\n3299\tn04171629\t3295\tsemiautomatic pistol, semiautomatic\n3300\tn02760855\t3296\tautomatic rifle, automatic, machine rifle\n3301\tn02749479\t3296\tassault rifle, assault gun\n3302\tn02760658\t3296\tautomatic pistol, automatic\n3303\tn03701391\t3296\tmachine gun\n3304\tn04347519\t3303\tsubmachine gun\n3305\tn02923682\t3304\tburp gun, machine pistol\n3306\tn04517211\t3304\tUzi\n3307\tn03607659\t3304\tKalashnikov\n3308\tn04450133\t3304\tTommy gun, Thompson submachine gun\n3309\tn03073296\t3289\tColt\n3310\tn03178674\t3289\tderringer\n3311\tn04086273\t3289\trevolver, six-gun, six-shooter\n3312\tn03427202\t3289\tgat, rod\n3313\tn03363749\t3292\tflintlock, firelock\n3314\tn03802007\t3292\tmusket\n3315\tn04250224\t3293\tsniper rifle, precision rifle\n3316\tn04585980\t3293\tWinchester\n3317\tn02961451\t3293\tcarbine\n3318\tn03136369\t3274\tcrossbow\n3319\tn03687928\t3274\tlongbow\n3320\tn03615790\t3277\tkhukuri\n3321\tn02812949\t3277\tbayonet\n3322\tn03699591\t3277\tmachete, matchet, panga\n3323\tn03158885\t3277\tdagger, sticker\n3324\tn04054361\t3278\trapier, tuck\n3325\tn03327691\t3278\tfencing sword\n3326\tn02904640\t3278\tbroadsword\n3327\tn02987492\t3278\tcavalry sword, saber, sabre\n3328\tn04121511\t3325\tsaber, sabre\n3329\tn03292475\t3325\tepee\n3330\tn03375575\t3325\tfoil\n3331\tn02916350\t3280\tbullet, slug\n3332\tn02950943\t3280\tcannonball, cannon ball, round shot\n3333\tn03080633\t3170\tcompass\n3334\tn04015908\t3170\tprotractor\n3335\tn02745611\t3172\tartificial horizon, gyro horizon, flight indicator\n3336\tn03178000\t3172\tdepth finder\n3337\tn03706229\t3172\tmagnetic compass\n3338\tn03080497\t3172\tcompass\n3339\tn02841315\t3173\tbinoculars, field glasses, opera glasses\n3340\tn04272054\t3173\tspectacles, specs, eyeglasses, glasses\n3341\tn04009552\t3173\tprojector\n3342\tn04403925\t3173\ttelescopic sight, telescope sight\n3343\tn03443912\t3340\tgoggles\n3344\tn04356056\t3340\tsunglasses, dark glasses, shades\n3345\tn04238617\t3341\tslide projector\n3346\tn03399761\t3341\tfront projector\n3347\tn03795976\t3341\tmovie projector, cine projector, film projector\n3348\tn03864692\t3341\toverhead projector\n3349\tn03555662\t3174\thypodermic syringe, hypodermic, hypo\n3350\tn02963503\t3174\tcardiograph, electrocardiograph\n3351\tn04376876\t3174\tsyringe\n3352\tn04317175\t3174\tstethoscope\n3353\tn03643149\t3174\tlaryngoscope\n3354\tn03858183\t3174\totoscope, auriscope, auroscope\n3355\tn04364545\t3174\tsurgical instrument\n3356\tn04083800\t3355\tretractor\n3357\tn03514451\t3355\themostat, haemostat\n3358\tn03938037\t3175\tpillory\n3359\tn04056180\t3175\trattan, ratan\n3360\tn03302671\t2598\texercise bike, exercycle\n3361\tn04477387\t2598\ttreadmill\n3362\tn04080833\t2605\trespirator, inhalator\n3363\tn04251144\t2605\tsnorkel\n3364\tn03868863\t2605\toxygen mask\n3365\tn02731629\t2605\taqualung, Aqua-Lung, scuba\n3366\tn03876231\t2606\tpaintbrush\n3367\tn04287747\t2606\tspray gun\n3368\tn02889646\t2609\tbrake\n3369\tn03484576\t2609\thandcuff, cuff, handlock, manacle\n3370\tn03323703\t2609\tfastener, fastening, holdfast, fixing\n3371\tn04162706\t2609\tseat belt, seatbelt\n3372\tn03652932\t2609\tleash, tether, lead\n3373\tn04125853\t2609\tsafety belt, life belt, safety harness\n3374\tn02891188\t2609\tbrake system, brakes\n3375\tn03803284\t2609\tmuzzle\n3376\tn02999936\t2609\tchain\n3377\tn02865665\t3370\tbolt\n3378\tn02910353\t3370\tbuckle\n3379\tn03627232\t3370\tknot\n3380\tn03041114\t3370\tcleat\n3381\tn03051249\t3370\tclothespin, clothes pin, clothes peg\n3382\tn02982599\t3370\tcatch\n3383\tn03940256\t3370\tpin\n3384\tn03229244\t3370\tdowel, dowel pin, joggle\n3385\tn04153751\t3370\tscrew\n3386\tn04238321\t3370\tslide fastener, zip, zipper, zip fastener\n3387\tn02928608\t3370\tbutton\n3388\tn04159354\t3370\tseal\n3389\tn03887185\t3370\tpaper fastener\n3390\tn03682487\t3370\tlock\n3391\tn04431745\t3370\tthumbtack, drawing pin, pushpin\n3392\tn03683606\t3370\tlocker\n3393\tn03038281\t3370\tclasp\n3394\tn03043958\t3370\tclip\n3395\tn02960690\t3370\tcarabiner, karabiner, snap ring\n3396\tn03804744\t3370\tnail\n3397\tn04445327\t3370\ttoggle\n3398\tn03836451\t3370\tnut and bolt\n3399\tn02881906\t3379\tbowline, bowline knot\n3400\tn02880189\t3379\tbow, bowknot\n3401\tn03644858\t3382\tlatch\n3402\tn03497352\t3382\thasp\n3403\tn04095342\t3383\trivet\n3404\tn03476313\t3383\thairpin\n3405\tn04227900\t3383\tskewer\n3406\tn03499354\t3383\thatpin\n3407\tn02903126\t3383\tbrochette\n3408\tn02860640\t3383\tbobby pin, hairgrip, grip\n3409\tn02796318\t3383\tbarrette\n3410\tn04127249\t3383\tsafety pin\n3411\tn04197781\t3387\tshirt button\n3412\tn03057541\t3387\tcoat button\n3413\tn04554871\t3388\twasher\n3414\tn03423719\t3388\tgasket\n3415\tn03503477\t3414\thead gasket\n3416\tn03855604\t3414\tO ring\n3417\tn03874599\t3390\tpadlock\n3418\tn04136800\t3390\tsash fastener, sash lock, window lock\n3419\tn03645011\t3390\tlatch, door latch\n3420\tn03075370\t3390\tcombination lock\n3421\tn03223162\t3390\tdoorlock\n3422\tn03886762\t3394\tpaper clip, paperclip, gem clip\n3423\tn02915904\t3394\tbulldog clip, alligator clip\n3424\tn03476684\t3394\thair slide\n3425\tn03551084\t3374\thydraulic brake, hydraulic brakes\n3426\tn03208938\t3425\tdisk brake, disc brake\n3427\tn03250089\t3425\tdrum brake\n3428\tn04505470\t2610\ttypewriter keyboard\n3429\tn04036303\t2610\tQWERTY keyboard\n3430\tn03085013\t2610\tcomputer keyboard, keypad\n3431\tn03928814\t2610\tpiano keyboard, fingerboard, clavier\n3432\tn03033362\t2611\tcircuit, electrical circuit, electric circuit\n3433\tn04168199\t2611\tSegway, Segway Human Transporter, Segway HT\n3434\tn03589513\t2611\tjack\n3435\tn03098140\t2611\tcontrol panel, instrument panel, control board, board, panel\n3436\tn04401949\t2611\ttelephone jack, phone jack\n3437\tn03034244\t2611\tcircuit breaker, breaker\n3438\tn03968293\t2611\tplug, male plug\n3439\tn03275681\t2611\telectrolytic, electrolytic capacitor, electrolytic condenser\n3440\tn03163222\t2611\tdashboard, fascia\n3441\tn04470953\t2611\ttransducer\n3442\tn04257986\t2611\tsolar cell, photovoltaic cell\n3443\tn02715229\t2611\tantenna, aerial, transmitting aerial\n3444\tn02955247\t2611\tcapacitor, capacitance, condenser, electrical condenser\n3445\tn04269270\t2611\tspark plug, sparking plug, plug\n3446\tn04072960\t2611\trelay, electrical relay\n3447\tn04364160\t2611\tsurge suppressor, surge protector, spike suppressor, spike arrester, lightning arrester\n3448\tn04257790\t2611\tsolar array, solar battery, solar panel\n3449\tn02810471\t2611\tbattery, electric battery\n3450\tn04414675\t2611\tTesla coil\n3451\tn03048883\t3432\tclosed circuit, loop\n3452\tn04595855\t3432\twiring\n3453\tn03084420\t3432\tcomputer circuit\n3454\tn03577090\t3453\tintegrated circuit, microcircuit\n3455\tn03778817\t3453\tmodule\n3456\tn04004210\t3453\tprinted circuit\n3457\tn03578656\t3453\tinterface, port\n3458\tn03125057\t3456\tCPU board, mother board\n3459\tn03033986\t3456\tcircuit board, circuit card, board, card, plug-in, add-in\n3460\tn03788047\t3441\tmosaic\n3461\tn03274561\t3441\telectro-acoustic transducer\n3462\tn03261776\t3461\tearphone, earpiece, headphone, phone\n3463\tn03759954\t3461\tmicrophone, mike\n3464\tn03691459\t3461\tloudspeaker, speaker, speaker unit, loudspeaker system, speaker system\n3465\tn04402580\t3462\ttelephone receiver, receiver\n3466\tn03505667\t3462\theadset\n3467\tn03087816\t3463\tcondenser microphone, capacitor microphone\n3468\tn02963692\t3463\tcardioid microphone\n3469\tn04502670\t3464\ttweeter\n3470\tn02917377\t3464\tbullhorn, loud hailer, loud-hailer\n3471\tn04390873\t3464\ttannoy\n3472\tn04599124\t3464\twoofer\n3473\tn04349401\t3464\tsubwoofer\n3474\tn03846772\t3443\tomnidirectional antenna, nondirectional antenna\n3475\tn03204955\t3443\tdirectional antenna\n3476\tn04041747\t3474\tradio antenna, radio aerial\n3477\tn04404817\t3474\ttelevision antenna, tv-antenna\n3478\tn03207305\t3475\tdish, dish aerial, dish antenna, saucer\n3479\tn04142999\t3475\tscanner\n3480\tn04610274\t3475\tyagi, Yagi aerial\n3481\tn04540547\t3449\tvoltaic battery, galvanic battery\n3482\tn03359285\t3481\tflashlight battery\n3483\tn03651388\t3481\tlead-acid battery, lead-acid accumulator\n3484\tn03870980\t2614\tpack, face pack\n3485\tn04013729\t2614\tprosthesis, prosthetic device\n3486\tn04258138\t2615\tsolar dish, solar collector, solar furnace\n3487\tn03773035\t2615\tmirror\n3488\tn03485198\t3487\thand glass, hand mirror\n3489\tn02965783\t3487\tcar mirror\n3490\tn04059947\t3489\trearview mirror\n3491\tn03861842\t3489\toutside mirror\n3492\tn02921756\t2616\tburglar alarm\n3493\tn02761834\t2616\tautomobile horn, car horn, motor horn, horn, hooter\n3494\tn04201064\t2616\tshofar, shophar\n3495\tn03343737\t2616\tfire alarm, smoke alarm\n3496\tn04058594\t2617\treadout, read-out\n3497\tn04143140\t2617\tscanner, digital scanner, image scanner\n3498\tn04494204\t2617\ttube, vacuum tube, thermionic vacuum tube, thermionic tube, electron tube, thermionic valve\n3499\tn03211117\t2617\tdisplay, video display\n3500\tn03918737\t2617\tpersonal digital assistant, PDA, personal organizer, personal organiser, organizer, organiser\n3501\tn03221351\t2617\tdongle\n3502\tn04464615\t2617\ttrackball\n3503\tn03793489\t2617\tmouse, computer mouse\n3504\tn02714751\t2617\tanswering machine\n3505\tn03506727\t2617\thearing aid, deaf-aid\n3506\tn02823124\t2617\tbeeper, pager\n3507\tn04484432\t3498\ttriode\n3508\tn03913343\t3498\tpentode\n3509\tn03085219\t3499\tcomputer monitor\n3510\tn03782190\t3499\tmonitor, monitoring device\n3511\tn04152593\t3499\tscreen, CRT screen\n3512\tn03196598\t3499\tdigital display, alphanumeric display\n3513\tn03676759\t3499\tliquid crystal display, LCD\n3514\tn03361380\t3499\tflat panel display, FPD\n3515\tn04588739\t3499\twindow\n3516\tn03187268\t3499\tdialog box, panel\n3517\tn02940570\t3499\tcaller ID\n3518\tn03085602\t3511\tcomputer screen, computer display\n3519\tn02769075\t3511\tbackground, desktop, screen background\n3520\tn02988066\t2619\tC-clamp\n3521\tn03027250\t2619\tchuck\n3522\tn03070059\t2619\tcollet, collet chuck\n3523\tn03525454\t2619\tholder\n3524\tn04538552\t2619\tvise, bench vise\n3525\tn02948557\t3523\tcandlestick, candle holder\n3526\tn03031152\t3523\tcigarette holder\n3527\tn02947818\t3525\tcandelabrum, candelabra\n3528\tn03746005\t3527\tmenorah\n3529\tn03746155\t3527\tMenorah\n3530\tn02935017\t2620\tcache, memory cache\n3531\tn03851787\t2620\toptical disk, optical disc\n3532\tn03706653\t2620\tmagnetic disk, magnetic disc, disk, disc\n3533\tn03744276\t2620\tmemory, computer memory, storage, computer storage, store, memory board\n3534\tn03708036\t2620\tmagnetic tape, mag tape, tape\n3535\tn04063868\t2620\trecording\n3536\tn02763306\t2620\tauxiliary storage, external storage, secondary storage\n3537\tn03079230\t3531\tcompact disk, compact disc, CD\n3538\tn04533946\t3531\tvideodisk, videodisc, DVD\n3539\tn02988679\t3537\tCD-ROM, compact disc read-only memory\n3540\tn02988486\t3537\tCD-R, compact disc recordable, CD-WO, compact disc write-once\n3541\tn02757061\t3537\taudio CD, audio compact disc\n3542\tn03492542\t3532\thard disc, hard disk, fixed disk\n3543\tn03209910\t3532\tdiskette, floppy, floppy disk\n3544\tn03359436\t3533\tflash memory\n3545\tn04052757\t3533\trandom-access memory, random access memory, random memory, RAM, read/write memory\n3546\tn04534359\t3534\tvideotape\n3547\tn02979399\t3534\tcassette tape\n3548\tn04391838\t3535\ttape, tape recording, taping\n3549\tn03924069\t3535\tphonograph record, phonograph recording, record, disk, disc, platter\n3550\tn03694639\t3549\tLP, L-P\n3551\tn04178190\t3549\tseventy-eight, 78\n3552\tn03636248\t2623\tlamp\n3553\tn03665366\t2623\tlight, light source\n3554\tn03358172\t3552\tflash, photoflash, flash lamp, flashgun, flashbulb, flash bulb\n3555\tn03640988\t3552\tlantern\n3556\tn02948072\t3552\tcandle, taper, wax light\n3557\tn03818343\t3552\tneon lamp, neon induction lamp, neon tube\n3558\tn04534895\t3552\tvigil light, vigil candle\n3559\tn04384910\t3552\ttaillight, tail lamp, rear light, rear lamp\n3560\tn03423877\t3552\tgas lamp\n3561\tn03844045\t3552\toil lamp, kerosene lamp, kerosine lamp\n3562\tn03549897\t3552\thurricane lamp, hurricane lantern, tornado lantern, storm lantern, storm lamp\n3563\tn03370387\t3552\tfluorescent lamp\n3564\tn04335886\t3552\tstreetlight, street lamp\n3565\tn04286575\t3552\tspotlight, spot\n3566\tn03272383\t3552\telectric lamp\n3567\tn03590841\t3555\tjack-o'-lantern\n3568\tn03018712\t3555\tChinese lantern\n3569\tn03359137\t3566\tflashlight, torch\n3570\tn03665924\t3566\tlight bulb, lightbulb, bulb, incandescent lamp, electric light, electric-light bulb\n3571\tn03911767\t3566\tpenlight\n3572\tn03503997\t3553\theadlight, headlamp\n3573\tn04107743\t3553\troom light\n3574\tn04339879\t3553\tstrip lighting\n3575\tn03318294\t3553\tfairy light\n3576\tn04148703\t3553\tsconce\n3577\tn04160847\t3553\tsearchlight\n3578\tn03824713\t3553\tnight-light\n3579\tn02852173\t3553\tblinker, flasher\n3580\tn04456115\t3553\ttorch\n3581\tn03365374\t3553\tflood, floodlight, flood lamp, photoflood\n3582\tn03401129\t2624\tfuel gauge, fuel indicator\n3583\tn03442597\t2624\tgnomon\n3584\tn03187037\t2624\tdial\n3585\tn04529108\t2624\tvernier scale, vernier\n3586\tn03975232\t2624\tpointer\n3587\tn03668279\t3586\tlight pen, electronic stylus\n3588\tn03482523\t3586\thand\n3589\tn04371050\t3588\tsweep hand, sweep-second\n3590\tn03772584\t3588\tminute hand, big hand\n3591\tn04164757\t3588\tsecond hand\n3592\tn03544238\t3588\thour hand, little hand\n3593\tn04288272\t2630\tspring\n3594\tn04116098\t2630\trubber band, elastic band, elastic\n3595\tn03066359\t3593\tcoil spring, volute spring\n3596\tn02886321\t3593\tbox spring\n3597\tn03525074\t2632\thoist\n3598\tn04585745\t2632\twinch, windlass\n3599\tn03281145\t2632\televator, lift\n3600\tn03126707\t2632\tcrane\n3601\tn04575824\t2632\twheel and axle\n3602\tn03178430\t2632\tderrick\n3603\tn03733281\t1835\tmaze, labyrinth\n3604\tn03078287\t1835\tcommunication system\n3605\tn03820728\t1835\tnetwork, electronic network\n3606\tn03440216\t1835\tGlobal Positioning System, GPS\n3607\tn04080138\t1835\tresonator\n3608\tn03302938\t1835\texhaust, exhaust system\n3609\tn03738241\t1835\tmechanical system\n3610\tn03085915\t1835\tcomputer system, computing system, automatic data processing system, ADP system, ADPS\n3611\tn04141712\t1835\tscaffolding, staging\n3612\tn04082886\t1835\treticle, reticule, graticule\n3613\tn04545858\t3604\twalkie-talkie, walky-talky\n3614\tn04041544\t3604\tradio, wireless\n3615\tn04400289\t3604\ttelecommunication system, telecom system, telecommunication equipment, telecom equipment\n3616\tn04402746\t3604\ttelephone system, phone system\n3617\tn03578055\t3604\tintercommunication system, intercom\n3618\tn03580845\t3604\tinterphone\n3619\tn04404412\t3615\ttelevision, television system\n3620\tn04137897\t3619\tsatellite television, satellite TV\n3621\tn04365328\t3619\tsurveillance system\n3622\tn03072201\t3619\tcolor television, colour television, color television system, colour television system, color TV, colour TV\n3623\tn03681477\t3605\tlocal area network, LAN\n3624\tn04358491\t3605\tsuperhighway, information superhighway\n3625\tn03300216\t3623\tethernet\n3626\tn04595028\t3623\twireless local area network, WLAN, wireless fidelity, WiFi\n3627\tn04008385\t3609\tproduction line, assembly line, line\n3628\tn03674440\t3609\tlinkage\n3629\tn04366116\t3609\tsuspension, suspension system\n3630\tn03401279\t3609\tfuel injection, fuel injection system\n3631\tn03957315\t1836\tplanter\n3632\tn04488202\t1836\ttrophy case\n3633\tn04555700\t1836\twastepaper basket, waste-paper basket, wastebasket, waste basket, circular file\n3634\tn03206908\t1836\tdish\n3635\tn02893692\t1836\tbread-bin, breadbox\n3636\tn03210683\t1836\tdispenser\n3637\tn03991062\t1836\tpot, flowerpot\n3638\tn02920658\t1836\tbunker\n3639\tn04074185\t1836\treliquary\n3640\tn03147509\t1836\tcup\n3641\tn02774152\t1836\tbag, handbag, pocketbook, purse\n3642\tn02978881\t1836\tcassette\n3643\tn03256032\t1836\tDumpster\n3644\tn02773037\t1836\tbag\n3645\tn03733805\t1836\tmeasuring cup\n3646\tn03438257\t1836\tglass, drinking glass\n3647\tn03875806\t1836\tpaintball\n3648\tn03733644\t1836\tmeasure\n3649\tn03291819\t1836\tenvelope\n3650\tn04183329\t1836\tshaker\n3651\tn03935335\t1836\tpiggy bank, penny bank\n3652\tn02801938\t1836\tbasket, handbasket\n3653\tn04179712\t1836\tsewing basket\n3654\tn04139859\t1836\tsavings bank, coin bank, money box, bank\n3655\tn03994614\t1836\tpowder horn, powder flask\n3656\tn02946921\t1836\tcan, tin, tin can\n3657\tn04576211\t1836\twheeled vehicle\n3658\tn04600312\t1836\tworkbasket, workbox, workbag\n3659\tn02839910\t1836\tbin\n3660\tn02949542\t1836\tcanister, cannister, tin\n3661\tn03779370\t1836\tmold, mould, cast\n3662\tn02964843\t1836\tcargo container\n3663\tn04533700\t1836\tvideocassette\n3664\tn02975212\t1836\tcase, display case, showcase, vitrine\n3665\tn02974697\t1836\tcase\n3666\tn04531098\t1836\tvessel\n3667\tn03233905\t1836\tdrawer\n3668\tn04060904\t1836\treceptacle\n3669\tn03871083\t1836\tpackage, parcel\n3670\tn04560292\t1836\twatering can, watering pot\n3671\tn02883344\t1836\tbox\n3672\tn03062336\t3634\tcocotte\n3673\tn03920288\t3634\tPetri dish\n3674\tn03456024\t3634\tgravy boat, gravy holder, sauceboat, boat\n3675\tn04176190\t3634\tserving dish\n3676\tn04499062\t3634\ttureen\n3677\tn04350581\t3634\tsugar bowl\n3678\tn02880940\t3634\tbowl\n3679\tn02978753\t3634\tcasserole\n3680\tn04050933\t3634\tramekin, ramequin\n3681\tn02927764\t3634\tbutter dish\n3682\tn04130257\t3678\tsalad bowl\n3683\tn03775546\t3678\tmixing bowl\n3684\tn03984759\t3678\tporringer\n3685\tn02997910\t3678\tcereal bowl\n3686\tn04263257\t3678\tsoup bowl\n3687\tn04023695\t3678\tpunch bowl\n3688\tn04103769\t3636\troll-on\n3689\tn02682922\t3636\taerosol, aerosol container, aerosol can, aerosol bomb, spray can\n3690\tn04254120\t3636\tsoap dispenser\n3691\tn02754103\t3636\tatomizer, atomiser, spray, sprayer, nebulizer, nebuliser\n3692\tn03571280\t3636\tinhaler, inhalator\n3693\tn03174731\t3640\tdemitasse\n3694\tn02815749\t3640\tbeaker\n3695\tn03629520\t3640\tkylix, cylix\n3696\tn03063073\t3640\tcoffee cup\n3697\tn03002948\t3640\tchalice, goblet\n3698\tn04397452\t3640\tteacup\n3699\tn03216710\t3640\tDixie cup, paper cup\n3700\tn03301940\t3641\tevening bag\n3701\tn04207343\t3641\tshoulder bag\n3702\tn03055418\t3641\tclutch bag, clutch\n3703\tn04083309\t3641\treticule\n3704\tn02769748\t3644\tbackpack, back pack, knapsack, packsack, rucksack, haversack\n3705\tn04122685\t3644\tsachet\n3706\tn02816656\t3644\tbeanbag\n3707\tn04134008\t3644\tsandbag\n3708\tn02970408\t3644\tcarryall, holdall, tote, tote bag\n3709\tn03883524\t3644\tpannier\n3710\tn03253886\t3644\tduffel bag, duffle bag, duffel, duffle\n3711\tn02870676\t3644\tbook bag\n3712\tn04452528\t3644\ttool bag\n3713\tn03709823\t3644\tmailbag, postbag\n3714\tn04026417\t3644\tpurse\n3715\tn03235796\t3644\tdrawstring bag\n3716\tn03291963\t3644\tenvelope, gasbag\n3717\tn04124098\t3644\tsaddlebag\n3718\tn04122825\t3644\tsack, poke, paper bag, carrier bag\n3719\tn03993180\t3644\tpouch\n3720\tn04204081\t3644\tshopping bag\n3721\tn04446844\t3644\ttoilet bag, sponge bag\n3722\tn03414029\t3644\tgamebag\n3723\tn03619793\t3644\tkitbag, kit bag\n3724\tn03958227\t3644\tplastic bag\n3725\tn03445617\t3644\tgolf bag\n3726\tn04235860\t3644\tsleeping bag\n3727\tn03469903\t3644\tgunnysack, gunny sack, burlap bag\n3728\tn03461288\t3644\tgrocery bag\n3729\tn04284572\t3719\tsporran\n3730\tn03972524\t3719\tpocket\n3731\tn04544450\t3719\twaist pack, belt bag\n3732\tn03321563\t3719\tfanny pack, butt pack\n3733\tn03521899\t3730\thip pocket\n3734\tn03898395\t3730\tpatch pocket\n3735\tn03372549\t3646\tflute, flute glass, champagne flute\n3736\tn04496872\t3646\ttumbler\n3737\tn04559910\t3646\twater glass\n3738\tn02918831\t3646\tbumper\n3739\tn03676623\t3646\tliqueur glass\n3740\tn04249882\t3646\tsnifter, brandy snifter, brandy glass\n3741\tn04206225\t3646\tshot glass, jigger, pony\n3742\tn02823750\t3646\tbeer glass\n3743\tn04119360\t3646\trummer\n3744\tn03443371\t3646\tgoblet\n3745\tn04592099\t3646\twineglass\n3746\tn03062245\t3650\tcocktail shaker\n3747\tn04131690\t3650\tsaltshaker, salt shaker\n3748\tn03914438\t3650\tpepper shaker, pepper box, pepper pot\n3749\tn03883385\t3652\tpannier\n3750\tn03050864\t3652\tclothes hamper, laundry basket, clothes basket, voider\n3751\tn03482405\t3652\thamper\n3752\tn02893608\t3652\tbreadbasket\n3753\tn04204238\t3652\tshopping basket\n3754\tn04582349\t3652\twicker basket\n3755\tn03764736\t3656\tmilk can\n3756\tn02823510\t3656\tbeer can\n3757\tn04255586\t3656\tsoda can\n3758\tn03904433\t3657\tpedicab, cycle rickshaw\n3759\tn02946509\t3657\tcamper trailer\n3760\tn04103364\t3657\trolling stock\n3761\tn03791053\t3657\tmotor scooter, scooter\n3762\tn04170037\t3657\tself-propelled vehicle\n3763\tn04509417\t3657\tunicycle, monocycle\n3764\tn04543158\t3657\twagon, waggon\n3765\tn02804515\t3657\tbassinet\n3766\tn03484083\t3657\thandcart, pushcart, cart, go-cart\n3767\tn02766534\t3657\tbaby buggy, baby carriage, carriage, perambulator, pram, stroller, go-cart, pushchair, pusher\n3768\tn02834778\t3657\tbicycle, bike, wheel, cycle\n3769\tn03538634\t3657\thorse-drawn vehicle\n3770\tn04467099\t3657\ttrailer, house trailer\n3771\tn02959942\t3657\tcar, railcar, railway car, railroad car\n3772\tn04482393\t3657\ttricycle, trike, velocipede\n3773\tn02740533\t3762\tarmored vehicle, armoured vehicle\n3774\tn04065272\t3762\trecreational vehicle, RV, R.V.\n3775\tn04464852\t3762\ttracked vehicle\n3776\tn04252077\t3762\tsnowmobile\n3777\tn02916179\t3762\tbulldozer, dozer\n3778\tn03684823\t3762\tlocomotive, engine, locomotive engine, railway locomotive\n3779\tn04335435\t3762\tstreetcar, tram, tramcar, trolley, trolley car\n3780\tn03791235\t3762\tmotor vehicle, automotive vehicle\n3781\tn04465501\t3762\ttractor\n3782\tn03384352\t3762\tforklift\n3783\tn02740300\t3773\tarmored personnel carrier, armoured personnel carrier, APC\n3784\tn02739889\t3773\tarmored car, armoured car\n3785\tn03256788\t3774\tdune buggy, beach buggy\n3786\tn02946348\t3774\tcamper, camping bus, motor home\n3787\tn04520382\t3774\tvan, caravan\n3788\tn04211219\t3778\tshunter\n3789\tn03193597\t3778\tdiesel locomotive\n3790\tn03272562\t3778\telectric locomotive\n3791\tn04389854\t3778\ttank engine, tank locomotive\n3792\tn04465358\t3778\ttraction engine\n3793\tn04310018\t3778\tsteam locomotive\n3794\tn03193260\t3789\tdiesel-electric locomotive, diesel-electric\n3795\tn03193423\t3789\tdiesel-hydraulic locomotive, diesel-hydraulic\n3796\tn03506880\t3780\thearse\n3797\tn04490091\t3780\ttruck, motortruck\n3798\tn02704792\t3780\tamphibian, amphibious vehicle\n3799\tn03389761\t3780\tfour-wheel drive, 4WD\n3800\tn03790512\t3780\tmotorcycle, bike\n3801\tn03444034\t3780\tgo-kart\n3802\tn02958343\t3780\tcar, auto, automobile, machine, motorcar\n3803\tn04252225\t3780\tsnowplow, snowplough\n3804\tn03345487\t3797\tfire engine, fire truck\n3805\tn04520170\t3797\tvan\n3806\tn04467665\t3797\ttrailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi\n3807\tn04474035\t3797\ttransporter, car transporter\n3808\tn03417042\t3797\tgarbage truck, dustcart\n3809\tn03632852\t3797\tladder truck, aerial ladder truck\n3810\tn04461696\t3797\ttow truck, tow car, wrecker\n3811\tn03256166\t3797\tdump truck, dumper, tipper truck, tipper lorry, tip truck, tipper\n3812\tn04465666\t3797\ttractor\n3813\tn03930630\t3797\tpickup, pickup truck\n3814\tn03173929\t3805\tdelivery truck, delivery van, panel truck\n3815\tn03796401\t3805\tmoving van\n3816\tn03896419\t3805\tpassenger van\n3817\tn03977966\t3805\tpolice van, police wagon, paddy wagon, patrol wagon, wagon, black Maria\n3818\tn02871314\t3805\tbookmobile\n3819\tn04466871\t3800\ttrail bike, dirt bike, scrambler\n3820\tn03785016\t3800\tmoped\n3821\tn02814533\t3802\tbeach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon\n3822\tn03680512\t3802\tloaner\n3823\tn03777568\t3802\tModel T\n3824\tn03268790\t3802\telectric, electric automobile, electric car\n3825\tn03770679\t3802\tminivan\n3826\tn03100240\t3802\tconvertible\n3827\tn03079136\t3802\tcompact, compact car\n3828\tn02930766\t3802\tcab, hack, taxi, taxicab\n3829\tn04201733\t3802\tshooting brake\n3830\tn04037443\t3802\tracer, race car, racing car\n3831\tn03498781\t3802\thatchback\n3832\tn04097373\t3802\troadster, runabout, two-seater\n3833\tn02831335\t3802\tberlin\n3834\tn04285965\t3802\tsport utility, sport utility vehicle, S.U.V., SUV\n3835\tn04166281\t3802\tsedan, saloon\n3836\tn03594945\t3802\tjeep, landrover\n3837\tn03670208\t3802\tlimousine, limo\n3838\tn03141065\t3802\tcruiser, police cruiser, patrol car, police car, prowl car, squad car\n3839\tn02701002\t3802\tambulance\n3840\tn04516354\t3802\tused-car, secondhand car\n3841\tn04322801\t3802\tstock car\n3842\tn04347119\t3802\tsubcompact, subcompact car\n3843\tn03870105\t3802\tpace car\n3844\tn03543394\t3802\thot rod, hot-rod\n3845\tn04285008\t3802\tsports car, sport car\n3846\tn03119396\t3802\tcoupe\n3847\tn03122295\t3764\tcovered wagon, Conestoga wagon, Conestoga, prairie wagon, prairie schooner\n3848\tn02970849\t3764\tcart\n3849\tn03538406\t3848\thorse cart, horse-cart\n3850\tn03255899\t3848\tdumpcart\n3851\tn03599486\t3848\tjinrikisha, ricksha, rickshaw\n3852\tn03981924\t3848\tpony cart, ponycart, donkey cart, tub-cart\n3853\tn03868242\t3848\toxcart\n3854\tn04397027\t3766\ttea cart, teacart, tea trolley, tea wagon\n3855\tn03648431\t3766\tlaundry cart\n3856\tn04176068\t3766\tserving cart\n3857\tn02797295\t3766\tbarrow, garden cart, lawn cart, wheelbarrow\n3858\tn04204347\t3766\tshopping cart\n3859\tn03490119\t3766\thand truck, truck\n3860\tn02835271\t3768\tbicycle-built-for-two, tandem bicycle, tandem\n3861\tn04126066\t3768\tsafety bicycle, safety bike\n3862\tn04026813\t3768\tpush-bike\n3863\tn03792782\t3768\tmountain bike, all-terrain bike, off-roader\n3864\tn02968473\t3769\tcarriage, equipage, rig\n3865\tn03435991\t3864\tgharry\n3866\tn02912557\t3864\tbuggy, roadster\n3867\tn04297098\t3864\tstagecoach, stage\n3868\tn03389889\t3864\tfour-wheeler\n3869\tn02775039\t3771\tbaggage car, luggage van\n3870\tn03393912\t3771\tfreight car\n3871\tn03895866\t3771\tpassenger car, coach, carriage\n3872\tn02932523\t3771\tcabin car, caboose\n3873\tn02885108\t3870\tboxcar\n3874\tn04389521\t3870\ttank car, tank\n3875\tn03828020\t3871\tnonsmoker, nonsmoking car\n3876\tn04020912\t3871\tPullman, Pullman car\n3877\tn03200357\t3871\tdining car, diner, dining compartment, buffet car\n3878\tn04246855\t3871\tsmoker, smoking car, smoking carriage, smoking compartment\n3879\tn04065789\t3659\trecycling bin\n3880\tn02747177\t3659\tashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin\n3881\tn03678558\t3659\tlitterbin, litter basket, litter-basket\n3882\tn04134523\t3661\tsandbox\n3883\tn03935116\t3661\tpig bed, pig\n3884\tn02900705\t3665\tbriefcase\n3885\tn03078995\t3665\tcompact, powder compact\n3886\tn03210372\t3665\tdispatch case, dispatch box\n3887\tn03619650\t3665\tkit\n3888\tn04548362\t3665\twallet, billfold, notecase, pocketbook\n3889\tn02962843\t3665\tcardcase\n3890\tn03986355\t3665\tportfolio\n3891\tn03214582\t3665\tditty bag\n3892\tn03031012\t3665\tcigarette case\n3893\tn04200000\t3665\tshoe\n3894\tn03468821\t3665\tgun case\n3895\tn02755140\t3665\tattache case, attache\n3896\tn03683995\t3665\tlocket\n3897\tn04608435\t3665\twriting desk\n3898\tn04556533\t3665\twatch case\n3899\tn02774630\t3665\tbaggage, luggage\n3900\tn03438863\t3665\tglasses case\n3901\tn03487533\t3899\thand luggage\n3902\tn04137217\t3899\tsatchel\n3903\tn02773838\t3899\tbag, traveling bag, travelling bag, grip, suitcase\n3904\tn04491769\t3899\ttrunk\n3905\tn03498441\t3899\thatbox\n3906\tn03420345\t3903\tgarment bag\n3907\tn04570815\t3903\tweekender\n3908\tn02967294\t3903\tcarpetbag\n3909\tn03986949\t3903\tportmanteau, Gladstone, Gladstone bag\n3910\tn03865371\t3903\tovernighter, overnight bag, overnight case\n3911\tn04518764\t3903\tvalise\n3912\tn02863750\t3666\tboiler, steam boiler\n3913\tn03355768\t3666\tflagon\n3914\tn02881193\t3666\tbowl\n3915\tn03633091\t3666\tladle\n3916\tn02876657\t3666\tbottle\n3917\tn02877266\t3666\tbottle, feeding bottle, nursing bottle\n3918\tn03990474\t3666\tpot\n3919\tn03950228\t3666\tpitcher, ewer\n3920\tn02808440\t3666\tbathtub, bathing tub, bath, tub\n3921\tn03786901\t3666\tmortar\n3922\tn02909870\t3666\tbucket, pail\n3923\tn03241496\t3666\tdrinking vessel\n3924\tn03129001\t3666\tcream pitcher, creamer\n3925\tn04591887\t3666\twine bucket, wine cooler\n3926\tn04001265\t3666\tpressure cooker\n3927\tn04493381\t3666\ttub, vat\n3928\tn03572321\t3666\tinkwell, inkstand\n3929\tn04438897\t3666\ttin\n3930\tn02801525\t3666\tbasin\n3931\tn03784270\t3666\tmonstrance, ostensorium\n3932\tn02758960\t3666\tautoclave, sterilizer, steriliser\n3933\tn03029445\t3666\tchurn, butter churn\n3934\tn02795169\t3666\tbarrel, cask\n3935\tn04388743\t3666\ttank, storage tank\n3936\tn03593526\t3666\tjar\n3937\tn02993368\t3666\tcenser, thurible\n3938\tn04447028\t3914\ttoilet bowl\n3939\tn03350204\t3914\tfishbowl, fish bowl, goldfish bowl\n3940\tn04149083\t3915\tscoop\n3941\tn04263336\t3915\tsoup ladle\n3942\tn04246060\t3916\tsmelling bottle\n3943\tn03983396\t3916\tpop bottle, soda bottle\n3944\tn04557648\t3916\twater bottle\n3945\tn03603722\t3916\tjug\n3946\tn02985963\t3916\tcatsup bottle, ketchup bottle\n3947\tn03449451\t3916\tgourd, calabash\n3948\tn03937543\t3916\tpill bottle\n3949\tn02962061\t3916\tcarboy\n3950\tn03359566\t3916\tflask\n3951\tn02823428\t3916\tbeer bottle\n3952\tn03571625\t3916\tink bottle, inkpot\n3953\tn03174450\t3916\tdemijohn\n3954\tn04579056\t3916\twhiskey bottle\n3955\tn03140431\t3916\tcruet, crewet\n3956\tn04591713\t3916\twine bottle\n3957\tn02960903\t3916\tcarafe, decanter\n3958\tn03923379\t3916\tphial, vial, ampule, ampul, ampoule\n3959\tn04579145\t3945\twhiskey jug\n3960\tn04560804\t3945\twater jug\n3961\tn03521675\t3950\thipflask, pocket flask\n3962\tn03295246\t3950\tErlenmeyer flask\n3963\tn04422727\t3950\tthermos, thermos bottle, thermos flask\n3964\tn02952374\t3950\tcanteen\n3965\tn04518132\t3950\tvacuum flask, vacuum bottle\n3966\tn03709363\t3956\tmagnum\n3967\tn03595409\t3956\tjeroboam, double-magnum\n3968\tn04139140\t3918\tsaucepot\n3969\tn04398044\t3918\tteapot\n3970\tn03259401\t3918\tDutch oven\n3971\tn04516214\t3918\turn\n3972\tn04324297\t3918\tstockpot\n3973\tn03612814\t3918\tkettle, boiler\n3974\tn02939185\t3918\tcaldron, cauldron\n3975\tn03915118\t3918\tpercolator\n3976\tn04397768\t3918\tteakettle\n3977\tn03063689\t3918\tcoffeepot\n3978\tn03064250\t3971\tcoffee urn\n3979\tn04132985\t3971\tsamovar\n3980\tn04399158\t3971\ttea urn\n3981\tn04225031\t3920\tsitz bath, hip bath\n3982\tn03543603\t3920\thot tub\n3983\tn03379343\t3920\tfootbath\n3984\tn03797390\t3923\tmug\n3985\tn03693707\t3923\tloving cup\n3986\tn04389430\t3923\ttankard\n3987\tn03063599\t3984\tcoffee mug\n3988\tn04443766\t3984\ttoby, toby jug, toby fillpot jug\n3989\tn02824058\t3984\tbeer mug, stein\n3990\tn02836174\t3930\tbidet\n3991\tn02843158\t3930\tbirdbath\n3992\tn04553703\t3930\twashbasin, handbasin, washbowl, lavabo, wash-hand basin\n3993\tn02788572\t3930\tbaptismal font, baptistry, baptistery, font\n3994\tn02823335\t3934\tbeer barrel, beer keg\n3995\tn04592005\t3934\twine cask, wine barrel\n3996\tn03610418\t3934\tkeg\n3997\tn03426134\t3935\tgas tank, gasoline tank, petrol tank\n3998\tn04560113\t3935\twater heater, hot-water heater, hot-water tank\n3999\tn04173046\t3935\tseptic tank\n4000\tn02732072\t3935\taquarium, fish tank, marine museum\n4001\tn04078574\t3935\treservoir\n4002\tn04562935\t4001\twater tower\n4003\tn04049303\t4001\train barrel\n4004\tn02951703\t3936\tcanopic jar, canopic vase\n4005\tn02705429\t3936\tamphora\n4006\tn03101664\t3936\tcookie jar, cooky jar\n4007\tn02815834\t3936\tbeaker\n4008\tn04516116\t3936\turn\n4009\tn03725600\t3936\tMason jar\n4010\tn04522168\t3936\tvase\n4011\tn03133415\t3936\tcrock, earthenware jar\n4012\tn03593122\t3936\tjampot, jamjar\n4013\tn03960374\t3668\tplate, collection plate\n4014\tn04476259\t3668\ttray\n4015\tn02982515\t3668\tcat box\n4016\tn03259009\t3668\tdustpan\n4017\tn03004275\t3668\tchamberpot, potty, thunder mug\n4018\tn04131929\t3668\tsalver\n4019\tn03416900\t3668\tgarbage\n4020\tn03565830\t3668\tin-basket, in-tray\n4021\tn03543735\t3668\thot-water bottle, hot-water bag\n4022\tn03858085\t3668\tossuary\n4023\tn04255163\t3668\tsocket\n4024\tn02747802\t3668\tashtray\n4025\tn03871628\t3669\tpacket\n4026\tn02919414\t3669\tbundle, sheaf\n4027\tn03167978\t3669\tdeck\n4028\tn02778456\t4026\tbale\n4029\tn03500389\t4026\thay bale\n4030\tn03870672\t4026\tpack\n4031\tn02782681\t3671\tballot box\n4032\tn02971356\t3671\tcarton\n4033\tn03064758\t3671\tcoffin, casket\n4034\tn04200258\t3671\tshoebox\n4035\tn04253057\t3671\tsnuffbox\n4036\tn03908618\t3671\tpencil box, pencil case\n4037\tn03127925\t3671\tcrate\n4038\tn02786331\t3671\tbandbox\n4039\tn04589325\t3671\twindow box\n4040\tn03014705\t3671\tchest\n4041\tn04340750\t3671\tstrongbox, deedbox\n4042\tn02998003\t3671\tcereal box\n4043\tn03710193\t3671\tmailbox, letter box\n4044\tn02978055\t3671\tcasket, jewel casket\n4045\tn02836392\t3671\tbier\n4046\tn03871724\t3671\tpacking box, packing case\n4047\tn04452615\t4040\ttoolbox, tool chest, tool cabinet, tool case\n4048\tn04462011\t4040\ttoy box, toy chest\n4049\tn03064350\t4040\tcoffer\n4050\tn03535024\t4040\thope chest, wedding chest\n4051\tn04477548\t4040\ttreasure chest\n4052\tn02989099\t4040\tcedar chest\n4053\tn02977438\t4041\tcash register, register\n4054\tn04125257\t4041\tsafe-deposit, safe-deposit box, safety-deposit, safety deposit box, deposit box, lockbox\n4055\tn02976939\t4041\tcashbox, money box, till\n4056\tn04125021\t4041\tsafe\n4057\tn04469813\t1837\ttramway, tram, aerial tramway, cable tramway, ropeway\n4058\tn03002341\t1837\tchairlift, chair lift\n4059\tn04214282\t1837\tsidecar\n4060\tn04019101\t1837\tpublic transport\n4061\tn04172342\t1837\tsemitrailer, semi\n4062\tn03538179\t1837\thorsebox\n4063\tn04524313\t1837\tvehicle\n4064\tn04231693\t1837\tski tow, ski lift, lift\n4065\tn04103918\t1837\troll-on roll-off\n4066\tn04467307\t1837\ttrailer\n4067\tn04196502\t1837\tshipping, cargo ships, merchant marine, merchant vessels\n4068\tn03678362\t1837\tlitter\n4069\tn03306385\t4060\texpress, limited\n4070\tn04212165\t4060\tshuttle bus\n4071\tn04468005\t4060\ttrain, railroad train\n4072\tn02924116\t4060\tbus, autobus, coach, charabanc, double-decker, jitney, motorbus, motorcoach, omnibus, passenger vehicle\n4073\tn03680942\t4060\tlocal\n4074\tn03394272\t4071\tfreight liner, liner train\n4075\tn03896233\t4071\tpassenger train\n4076\tn04349306\t4071\tsubway train\n4077\tn03711044\t4071\tmail train\n4078\tn03394480\t4071\tfreight train, rattler\n4079\tn03078802\t4075\tcommuter, commuter train\n4080\tn02917067\t4075\tbullet train, bullet\n4081\tn04487081\t4072\ttrolleybus, trolley coach, trackless trolley\n4082\tn03769881\t4072\tminibus\n4083\tn04146614\t4072\tschool bus\n4084\tn04310157\t4063\tsteamroller, road roller\n4085\tn02918964\t4063\tbumper car, Dodgem\n4086\tn04099429\t4063\trocket, projectile\n4087\tn03764276\t4063\tmilitary vehicle\n4088\tn03773504\t4063\tmissile\n4089\tn03125870\t4063\tcraft\n4090\tn04235291\t4063\tsled, sledge, sleigh\n4091\tn03478589\t4087\thalf track\n4092\tn04389033\t4087\ttank, army tank, armored combat vehicle, armoured combat vehicle\n4093\tn03886053\t4087\tpanzer\n4094\tn03919096\t4087\tpersonnel carrier\n4095\tn03549199\t4087\tHumvee, Hum-Vee\n4096\tn02686568\t4089\taircraft\n4097\tn04530566\t4089\tvessel, watercraft\n4098\tn04264914\t4089\tspacecraft, ballistic capsule, space vehicle\n4099\tn03547229\t4089\thovercraft, ground-effect machine\n4100\tn03510583\t4096\theavier-than-air craft\n4101\tn04308084\t4096\tstealth aircraft\n4102\tn03666917\t4096\tlighter-than-air craft\n4103\tn03491032\t4100\thang glider\n4104\tn03439814\t4100\tglider, sailplane\n4105\tn03512147\t4100\thelicopter, chopper, whirlybird, eggbeater\n4106\tn04552348\t4100\twarplane, military plane\n4107\tn02691156\t4100\tairplane, aeroplane, plane\n4108\tn02759387\t4100\tautogiro, autogyro, gyroplane\n4109\tn02867715\t4107\tbomber\n4110\tn02704645\t4107\tamphibian, amphibious aircraft\n4111\tn04012084\t4107\tpropeller plane\n4112\tn02690373\t4107\tairliner\n4113\tn02842573\t4107\tbiplane\n4114\tn03365231\t4107\tfloatplane, pontoon plane\n4115\tn03595860\t4107\tjet, jet plane, jet-propelled plane\n4116\tn03335030\t4107\tfighter, fighter aircraft, attack aircraft\n4117\tn04308273\t4107\tstealth bomber\n4118\tn04160586\t4107\tseaplane, hydroplane\n4119\tn02686121\t4112\tairbus\n4120\tn04583620\t4112\twidebody aircraft, wide-body aircraft, wide-body, twin-aisle airplane\n4121\tn03604311\t4115\tjumbojet, jumbo jet\n4122\tn03596543\t4115\tjetliner\n4123\tn04308397\t4116\tstealth fighter\n4124\tn03577672\t4116\tinterceptor\n4125\tn02692877\t4102\tairship, dirigible\n4126\tn02850950\t4102\tblimp, sausage balloon, sausage\n4127\tn02782093\t4102\tballoon\n4128\tn03541923\t4102\thot-air balloon\n4129\tn02858304\t4097\tboat\n4130\tn04476116\t4097\ttrawler, dragger\n4131\tn04610013\t4097\tyacht, racing yacht\n4132\tn04194289\t4097\tship\n4133\tn04128837\t4097\tsailing vessel, sailing ship\n4134\tn02792409\t4097\tbareboat\n4135\tn03662601\t4129\tlifeboat\n4136\tn03977592\t4129\tpolice boat\n4137\tn03447447\t4129\tgondola\n4138\tn04158807\t4129\tsea boat\n4139\tn02792552\t4129\tbarge, flatboat, hoy, lighter\n4140\tn04095210\t4129\triver boat\n4141\tn04495843\t4129\ttugboat, tug, towboat, tower\n4142\tn04024983\t4129\tpunt\n4143\tn03939178\t4129\tpilot boat\n4144\tn04244997\t4129\tsmall boat\n4145\tn03329663\t4129\tferry, ferryboat\n4146\tn04409128\t4129\ttender, ship's boat, pinnace, cutter\n4147\tn02947660\t4129\tcanal boat, narrow boat, narrowboat\n4148\tn03344393\t4129\tfireboat\n4149\tn03790230\t4129\tmotorboat, powerboat\n4150\tn03236423\t4139\tdredger\n4151\tn03981566\t4139\tpontoon\n4152\tn03545470\t4139\thouseboat\n4153\tn04229480\t4144\tskiff\n4154\tn02951358\t4144\tcanoe\n4155\tn03199901\t4144\tdinghy, dory, rowboat\n4156\tn04037964\t4144\tracing boat\n4157\tn03105306\t4144\tcoracle\n4158\tn04612504\t4144\tyawl\n4159\tn03436891\t4144\tgig\n4160\tn03602081\t4144\tjolly boat, jolly\n4161\tn04115456\t4144\trowing boat\n4162\tn03609235\t4154\tkayak\n4163\tn03861430\t4154\toutrigger canoe\n4164\tn03254374\t4154\tdugout canoe, dugout, pirogue\n4165\tn04038231\t4156\tracing gig\n4166\tn04038338\t4156\tracing skiff, single shell\n4167\tn04273569\t4149\tspeedboat\n4168\tn03859170\t4149\toutboard motorboat, outboard\n4169\tn02932891\t4149\tcabin cruiser, cruiser, pleasure boat, pleasure craft\n4170\tn03552749\t4149\thydrofoil, hydroplane\n4171\tn04197110\t4132\tshipwreck\n4172\tn04606251\t4132\twreck\n4173\tn03896103\t4132\tpassenger ship\n4174\tn03947888\t4132\tpirate, pirate ship\n4175\tn03668488\t4132\tlightship\n4176\tn03541269\t4132\thospital ship\n4177\tn04309348\t4132\tsteamer, steamship\n4178\tn02965300\t4132\tcargo ship, cargo vessel\n4179\tn04224543\t4132\tsister ship\n4180\tn04552696\t4132\twarship, war vessel, combat ship\n4181\tn03673027\t4173\tliner, ocean liner\n4182\tn03698604\t4181\tluxury liner, express luxury liner\n4183\tn02965216\t4181\tcargo liner\n4184\tn03141327\t4181\tcruise ship, cruise liner\n4185\tn03874138\t4177\tpaddle steamer, paddle-wheeler\n4186\tn04317063\t4177\tsternwheeler\n4187\tn02878222\t4178\tbottom, freighter, merchantman, merchant ship\n4188\tn03095699\t4178\tcontainer ship, containership, container vessel\n4189\tn02784124\t4178\tbanana boat\n4190\tn03845190\t4178\toil tanker, oiler, tanker, tank ship\n4191\tn04347754\t4180\tsubmarine, pigboat, sub, U-boat\n4192\tn03466493\t4180\tguided missile cruiser\n4193\tn03397266\t4180\tfrigate\n4194\tn02812201\t4180\tbattleship, battlewagon\n4195\tn03466600\t4180\tguided missile frigate\n4196\tn02687172\t4180\taircraft carrier, carrier, flattop, attack aircraft carrier\n4197\tn03718212\t4180\tman-of-war, ship of the line\n4198\tn03180504\t4180\tdestroyer, guided missile destroyer\n4199\tn02755529\t4191\tattack submarine\n4200\tn03811295\t4191\tnautilus, nuclear submarine, nuclear-powered submarine\n4201\tn04612373\t4133\tyawl, dandy\n4202\tn03045228\t4133\tclipper, clipper ship\n4203\tn03327133\t4133\tfelucca\n4204\tn04242408\t4133\tsloop\n4205\tn03612010\t4133\tketch\n4206\tn03186285\t4133\tdhow\n4207\tn04128499\t4133\tsailboat, sailing boat\n4208\tn02793199\t4133\tbark, barque\n4209\tn04147183\t4133\tschooner\n4210\tn04587327\t4133\twindjammer\n4211\tn04483307\t4207\ttrimaran\n4212\tn02981792\t4207\tcatamaran\n4213\tn02982416\t4207\tcatboat\n4214\tn04266014\t4098\tspace shuttle\n4215\tn04264765\t4098\tspace capsule, capsule\n4216\tn03218198\t4090\tdogsled, dog sled, dog sleigh\n4217\tn02860847\t4090\tbobsled, bobsleigh, bob\n4218\tn02861022\t4090\tbobsled, bobsleigh\n4219\tn04336792\t4068\tstretcher\n4220\tn03122202\t4068\tcovered couch\n4221\tn06271778\t1838\ttelecommunication, telecom\n4222\tn06255081\t1838\tvehicle\n4223\tn06263609\t1838\tprint media\n4224\tn06276697\t4221\tbroadcasting\n4225\tn06272290\t4221\ttelephone, telephony\n4226\tn06276501\t4221\tradiotelephone, radiotelephony, wireless telephone\n4227\tn06277280\t4224\ttelevision, telecasting, TV, video\n4228\tn06281040\t4224\treception\n4229\tn06277135\t4224\tradio, radiocommunication, wireless\n4230\tn06278338\t4227\tcable television, cable\n4231\tn06278475\t4227\thigh-definition television, HDTV\n4232\tn06274760\t4225\tthree-way calling\n4233\tn06272803\t4225\tcall, phone call, telephone call\n4234\tn06272612\t4225\tvoice mail, voicemail\n4235\tn06263369\t4223\tpress, public press\n4236\tn06266417\t4223\tjournalism, news media\n4237\tn06595351\t4235\tmagazine, mag\n4238\tn06267145\t4235\tnewspaper, paper\n4239\tn06596607\t4237\tpulp, pulp magazine\n4240\tn06596727\t4237\tslick, slick magazine, glossy\n4241\tn06596364\t4237\tcomic book\n4242\tn06596474\t4237\tnews magazine\n4243\tn06267893\t4238\ttabloid, rag, sheet\n4244\tn06267564\t4238\tdaily\n4245\tn06267655\t4238\tgazette\n4246\tn06266633\t4236\tFleet Street\n4247\tn06267991\t4236\tyellow journalism, tabloid, tab\n4248\tn03938244\t1055\tpillow\n4249\tn03872495\t1055\tpad\n4250\tn04135315\t4249\tsanitary napkin, sanitary towel, Kotex\n4251\tn02823964\t4249\tbeer mat\n4252\tn03408444\t4249\tfuton\n4253\tn02967626\t4249\tcarpet pad, rug pad, underlay, underlayment\n4254\tn04053677\t1056\trange hood\n4255\tn04151940\t1056\tscreen, cover, covert, concealment\n4256\tn04453910\t1056\ttop, cover\n4257\tn03380867\t1056\tfootwear, footgear\n4258\tn04014297\t1056\tprotective covering, protective cover, protection\n4259\tn03045698\t1056\tcloak\n4260\tn04605726\t1056\twrapping, wrap, wrapper\n4261\tn04513827\t1056\tupholstery\n4262\tn03050026\t1056\tcloth covering\n4263\tn03724870\t1056\tmask\n4264\tn03341153\t1056\tfinger\n4265\tn03366823\t1056\tfloor cover, floor covering\n4266\tn03058107\t1056\tcoating, coat\n4267\tn02952237\t1056\tcanopy\n4268\tn03357376\t1056\tflap\n4269\tn03221059\t1056\tdomino, half mask, eye mask\n4270\tn03376279\t1056\tfolder\n4271\tn03956623\t1056\tplanking\n4272\tn03261603\t1056\tearmuff\n4273\tn02944459\t4255\tcamouflage\n4274\tn04201297\t4255\tshoji\n4275\tn02954938\t4256\tcap\n4276\tn03717622\t4256\tmanhole cover\n4277\tn03661340\t4256\tlid\n4278\tn04041243\t4275\tradiator cap\n4279\tn02877765\t4275\tbottlecap\n4280\tn03825788\t4275\tnipple\n4281\tn03047690\t4257\tclog, geta, patten, sabot\n4282\tn04199027\t4257\tshoe\n4283\tn02735538\t4257\tarctic, galosh, golosh, rubber, gumshoe\n4284\tn02872752\t4257\tboot\n4285\tn03361550\t4257\tflats\n4286\tn04241394\t4257\tslipper, carpet slipper\n4287\tn03865949\t4257\tovershoe\n4288\tn04122578\t4282\tsabot, wooden shoe\n4289\tn04239786\t4282\tslingback, sling\n4290\tn03027625\t4282\tchukka, chukka boot\n4291\tn04124370\t4282\tsaddle oxford, saddle shoe\n4292\tn04272389\t4282\tspectator pump, spectator\n4293\tn02904927\t4282\tbrogan, brogue, clodhopper, work shoe\n4294\tn04593524\t4282\twing tip\n4295\tn04545748\t4282\twalker\n4296\tn02855701\t4282\tblucher\n4297\tn02713364\t4282\tanklet\n4298\tn03041449\t4282\tcleats\n4299\tn03411079\t4282\tgaiter\n4300\tn03680355\t4282\tLoafer\n4301\tn04120489\t4282\trunning shoe\n4302\tn03868406\t4282\toxford\n4303\tn02882894\t4282\tbowling shoe\n4304\tn03967270\t4282\tplimsoll\n4305\tn04022332\t4282\tpump\n4306\tn04133789\t4282\tsandal\n4307\tn03025250\t4282\tchopine, platform\n4308\tn04027706\t4306\tpusher, zori\n4309\tn04386664\t4306\ttalaria\n4310\tn03364008\t4306\tflip-flop, thong\n4311\tn03297103\t4306\tespadrille\n4312\tn03600475\t4284\tjodhpur, jodhpur boot, jodhpur shoe\n4313\tn02925666\t4284\tbuskin, combat boot, desert boot, half boot, top boot\n4314\tn04228581\t4284\tski boot\n4315\tn03521544\t4284\thip boot, thigh boot\n4316\tn04089666\t4284\triding boot\n4317\tn04116294\t4284\trubber boot, gum boot\n4318\tn03516844\t4284\tHessian boot, hessian, jackboot, Wellington, Wellington boot\n4319\tn04542715\t4284\twaders\n4320\tn03124043\t4284\tcowboy boot\n4321\tn03798061\t4286\tmule, scuff\n4322\tn02873733\t4286\tbootee, bootie\n4323\tn03067518\t4258\tcold frame\n4324\tn03046133\t4258\tcloche\n4325\tn04554211\t4258\twashboard, splashboard\n4326\tn04444749\t4258\ttoecap\n4327\tn03797896\t4258\tmulch\n4328\tn04192858\t4258\tshield\n4329\tn02888270\t4258\tbracer, armguard\n4330\tn04151581\t4258\tscreen\n4331\tn04187233\t4258\tsheathing, overlay, overlayer\n4332\tn02826068\t4258\tbell jar, bell glass\n4333\tn04181718\t4258\tshade\n4334\tn04191943\t4258\tshelter\n4335\tn04281375\t4258\tsplashboard, splasher, dashboard\n4336\tn04416005\t4258\ttestudo\n4337\tn04105068\t4258\troof\n4338\tn03314608\t4258\tfaceplate\n4339\tn03530910\t4258\thood, bonnet, cowl, cowling\n4340\tn04187061\t4258\tsheath\n4341\tn02955065\t4258\tcap\n4342\tn03725035\t4258\tmask\n4343\tn03315644\t4258\tfacing, cladding\n4344\tn03142679\t4258\tcrystal, watch crystal, watch glass\n4345\tn02937958\t4258\tcalash, caleche, calash top\n4346\tn02739668\t4258\tarmor, armour\n4347\tn02840245\t4258\tbinder, ring-binder\n4348\tn02840619\t4258\tbinding, book binding, cover, back\n4349\tn03546766\t4258\thousing\n4350\tn02851099\t4258\tblind, screen\n4351\tn03673767\t4258\tlining, liner\n4352\tn03959701\t4328\tplate, scale, shell\n4353\tn03539433\t4352\thorseshoe, shoe\n4354\tn02740764\t4352\tarmor plate, armour plate, armor plating, plate armor, plate armour\n4355\tn02895154\t4354\tbreastplate, aegis, egis\n4356\tn03513376\t4354\thelmet\n4357\tn02950632\t4354\tcannon\n4358\tn03623338\t4354\tknee piece\n4359\tn03929855\t4356\tpickelhaube\n4360\tn04130907\t4356\tsallet, salade\n4361\tn04589890\t4330\twindow screen\n4362\tn03347037\t4330\tfire screen, fireguard\n4363\tn04590553\t4330\twindshield, windscreen\n4364\tn03788365\t4330\tmosquito net\n4365\tn03637318\t4333\tlampshade, lamp shade\n4366\tn03889871\t4333\tparasol, sunshade\n4367\tn03652729\t4334\tlean-to\n4368\tn02825657\t4334\tbell cote, bell cot\n4369\tn04172776\t4334\tsentry box\n4370\tn02843684\t4334\tbirdhouse\n4371\tn02951843\t4334\tcanopy\n4372\tn03610524\t4334\tkennel, doghouse, dog house\n4373\tn02763901\t4371\tawning, sunshade, sunblind\n4374\tn04507155\t4371\tumbrella\n4375\tn03415252\t4371\tgamp, brolly\n4376\tn03409591\t4337\tgable roof, saddle roof, saddleback, saddleback roof\n4377\tn04357121\t4337\tsunroof, sunshine-roof\n4378\tn03718789\t4337\tmansard, mansard roof\n4379\tn03220513\t4337\tdome\n4380\tn03522100\t4337\thip roof, hipped roof\n4381\tn04435653\t4337\ttile roof\n4382\tn03546235\t4337\thousetop\n4383\tn04523525\t4337\tvault\n4384\tn04234887\t4337\tslate roof\n4385\tn03413684\t4337\tgambrel, gambrel roof\n4386\tn04417672\t4337\tthatch, thatched roof\n4387\tn03148727\t4379\tcupola\n4388\tn03435593\t4379\tgeodesic dome\n4389\tn03847471\t4379\tonion dome\n4390\tn02796207\t4383\tbarrel vault\n4391\tn04087709\t4383\tribbed vault\n4392\tn03527444\t4340\tholster\n4393\tn04141327\t4340\tscabbard\n4394\tn04207763\t4340\tshoulder holster\n4395\tn03548086\t4341\thubcap\n4396\tn04423845\t4341\tthimble\n4397\tn03213538\t4341\tdistributor cap\n4398\tn03657121\t4341\tlens cap, lens cover\n4399\tn03424325\t4342\tgasmask, respirator, gas helmet\n4400\tn03314378\t4342\tface mask\n4401\tn04229816\t4400\tski mask\n4402\tn02983189\t4400\tcatcher's mask\n4403\tn02862048\t4346\tbody armor, body armour, suit of armor, suit of armour, coat of mail, cataphract\n4404\tn04192698\t4346\tshield, buckler\n4405\tn03000247\t4403\tchain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour\n4406\tn02916936\t4403\tbulletproof vest\n4407\tn03112719\t4403\tcorselet, corslet\n4408\tn03146219\t4403\tcuirass\n4409\tn02933340\t4349\tcabinet, console\n4410\tn04045255\t4349\tradome, radar dome\n4411\tn02873520\t4349\tboot\n4412\tn04589190\t4350\twindow blind\n4413\tn03592669\t4350\tjalousie\n4414\tn03151077\t4350\tcurtain, drape, drapery, mantle, pall\n4415\tn04211356\t4350\tshutter\n4416\tn04525584\t4412\tVenetian blind\n4417\tn04590129\t4412\twindow shade\n4418\tn04102285\t4412\troller blind\n4419\tn04418357\t4414\ttheater curtain, theatre curtain\n4420\tn04209239\t4414\tshower curtain\n4421\tn02925107\t4351\tbushing, cylindrical lining\n4422\tn02890513\t4351\tbrake lining\n4423\tn03436549\t4260\tgift wrapping\n4424\tn03291741\t4260\tenvelope\n4425\tn02992368\t4260\tcellophane\n4426\tn07248320\t4260\tbook jacket, dust cover, dust jacket, dust wrapper\n4427\tn03590306\t4260\tjacket\n4428\tn03958752\t4260\tplastic wrap\n4429\tn04207151\t4262\tshoulder\n4430\tn03885293\t4262\tpant leg, trouser leg\n4431\tn03654576\t4262\tleg\n4432\tn02767665\t4262\tback\n4433\tn03114379\t4262\tcosy, tea cosy, cozy, tea cozy\n4434\tn02785648\t4262\tbandage, patch\n4435\tn02876084\t4262\tbosom\n4436\tn04240752\t4262\tslipcover\n4437\tn02820210\t4262\tbedclothes, bed clothing, bedding\n4438\tn04236377\t4262\tsleeve, arm\n4439\tn02851939\t4262\tblindfold\n4440\tn03309356\t4262\teyepatch, patch\n4441\tn04231272\t4262\tskirt\n4442\tn04162433\t4262\tseat\n4443\tn02786058\t4434\tBand Aid\n4444\tn04369025\t4434\tswathe, wrapping\n4445\tn02979836\t4434\tcast, plaster cast, plaster bandage\n4446\tn03267821\t4434\telastic bandage\n4447\tn04033995\t4437\tquilt, comforter, comfort, puff\n4448\tn02683323\t4437\tafghan\n4449\tn02849154\t4437\tblanket, cover\n4450\tn02822220\t4437\tbedspread, bedcover, bed cover, bed covering, counterpane, spread\n4451\tn03731483\t4437\tmattress cover\n4452\tn03898633\t4447\tpatchwork, patchwork quilt\n4453\tn03266749\t4447\teiderdown, duvet, continental quilt\n4454\tn03128427\t4447\tcrazy quilt\n4455\tn03123553\t4450\tcoverlet\n4456\tn04034262\t4450\tquilted bedspread\n4457\tn04046400\t4438\traglan sleeve\n4458\tn03688405\t4438\tlong sleeve\n4459\tn04118021\t4265\trug, carpet, carpeting\n4460\tn03223299\t4265\tdoormat, welcome mat\n4461\tn03727837\t4265\tmat\n4462\tn04144539\t4459\tscatter rug, throw rug\n4463\tn04183217\t4459\tshag rug\n4464\tn03998194\t4459\tprayer rug, prayer mat\n4465\tn02904233\t4459\tbroadloom\n4466\tn04297847\t4459\tstair-carpet\n4467\tn04066270\t4459\tred carpet\n4468\tn02908773\t4459\tBrussels carpet\n4469\tn03353951\t4266\tfixative\n4470\tn03445326\t4266\tgold plate\n4471\tn04528079\t4266\tverdigris\n4472\tn03875218\t4266\tpaint, pigment\n4473\tn03805725\t4266\tnail polish, nail enamel, nail varnish\n4474\tn03437430\t4266\tgilt, gilding\n4475\tn03115897\t4266\tcouch\n4476\tn03284743\t4266\tenamel\n4477\tn04525417\t4266\tveneer, veneering\n4478\tn03342015\t4472\tfinger paint, fingerpaint\n4479\tn03284886\t4472\tenamel\n4480\tn03285578\t4472\tencaustic\n4481\tn03844233\t4472\toil paint\n4482\tn04557308\t4472\twater-base paint\n4483\tn03646020\t4482\tlatex paint, latex, rubber-base paint\n4484\tn04581102\t4482\twhitewash\n4485\tn03261019\t4268\tearflap, earlap\n4486\tn03973402\t4268\tpocket flap\n4487\tn03642444\t4268\tlapel\n4488\tn04450994\t4268\ttongue\n4489\tn04084889\t4268\trevers, revere\n4490\tn04412097\t4268\ttent-fly, rainfly, fly sheet, fly, tent flap\n4491\tn03337383\t4270\tfile folder\n4492\tn03729308\t4270\tmatchbook\n4493\tn03970546\t1057\tplush\n4494\tn03802393\t1057\tmuslin\n4495\tn04395024\t1057\ttarpaulin, tarp\n4496\tn04525038\t1057\tvelvet\n4497\tn02809105\t1057\tbatik\n4498\tn03615406\t1057\tkhaki\n4499\tn02828427\t1057\tbelting\n4500\tn04123567\t1057\tsacking, bagging\n4501\tn03188725\t1057\tdiaper\n4502\tn04539794\t1057\tvoile\n4503\tn03253796\t1057\tduffel, duffle\n4504\tn03013850\t1057\tchenille\n4505\tn03115400\t1057\tcotton flannel, Canton flannel\n4506\tn04459610\t1057\ttoweling, towelling\n4507\tn03132666\t1057\tcrinoline\n4508\tn03885194\t1057\tpanting, trousering\n4509\tn03019938\t1057\tchintz\n4510\tn03326795\t1057\tfelt\n4511\tn03115180\t1057\tcotton\n4512\tn04525191\t1057\tvelveteen\n4513\tn04138261\t1057\tsatin\n4514\tn03625355\t1057\tknit\n4515\tn04137355\t1057\tsateen\n4516\tn04003856\t1057\tprint\n4517\tn03356982\t1057\tflannel\n4518\tn04568841\t1057\twebbing\n4519\tn03409297\t1057\tgabardine\n4520\tn02944579\t1057\tcamouflage, camo\n4521\tn04605163\t1057\tworsted\n4522\tn02977330\t1057\tcashmere\n4523\tn04395106\t1057\ttartan, plaid\n4524\tn03779128\t1057\tmohair\n4525\tn02904803\t1057\tbrocade\n4526\tn04524941\t1057\tvelour, velours\n4527\tn04198453\t1057\tshirttail\n4528\tn02878425\t1057\tboucle\n4529\tn03703862\t1057\tmadras\n4530\tn03819595\t1057\tnet, network, mesh, meshing, meshwork\n4531\tn03877351\t1057\tpaisley\n4532\tn04613015\t1057\tyoke\n4533\tn03914831\t1057\tpercale\n4534\tn03932670\t1057\tpiece of cloth, piece of material\n4535\tn03785237\t1057\tmoquette\n4536\tn04414476\t1057\tterry, terry cloth, terrycloth\n4537\tn04056932\t1057\trayon\n4538\tn02675219\t1057\tacetate rayon, acetate\n4539\tn03106722\t1057\tcord, corduroy\n4540\tn03917814\t1057\tpermanent press, durable press\n4541\tn03016868\t1057\tchiffon\n4542\tn02922798\t1057\tburlap, gunny\n4543\tn04432662\t1057\tticking\n4544\tn02802990\t1057\tbasket weave\n4545\tn03631177\t1057\tlace\n4546\tn04189282\t1057\tsheeting\n4547\tn03435743\t1057\tgeorgette\n4548\tn03983612\t1057\tpoplin\n4549\tn03175189\t1057\tdenim, dungaree, jean\n4550\tn03357267\t1057\tflannelette\n4551\tn04184316\t1057\tshantung\n4552\tn02942460\t1057\tcamel's hair, camelhair\n4553\tn03836906\t1057\tnylon\n4554\tn03233123\t1057\tdrapery\n4555\tn03430091\t1057\tgauze, gauze bandage\n4556\tn03855214\t1057\torganza\n4557\tn03386726\t1057\tfoulard\n4558\tn03437741\t1057\tgingham\n4559\tn04599235\t1057\twool, woolen, woollen\n4560\tn04350458\t1057\tsuede cloth, suede\n4561\tn04383839\t1057\ttaffeta\n4562\tn03653110\t1057\tleatherette, imitation leather\n4563\tn04502502\t1057\ttweed\n4564\tn03854421\t1057\torgandy, organdie\n4565\tn02952109\t1057\tcanopy\n4566\tn03298858\t1057\tetamine, etamin\n4567\tn03160740\t1057\tdamask\n4568\tn03843438\t1057\toilcloth\n4569\tn04393549\t1057\ttapestry, tapis\n4570\tn02903852\t1057\tbroadcloth\n4571\tn03947798\t1057\tpique\n4572\tn03529444\t1057\thomespun\n4573\tn04482297\t4514\ttricot\n4574\tn03227317\t4514\tdouble knit\n4575\tn03595523\t4514\tjersey\n4576\tn03429914\t4530\tgauze, netting, veiling\n4577\tn04496614\t4530\ttulle\n4578\tn03016609\t4530\tchicken wire\n4579\tn03485794\t4534\thandkerchief, hankie, hanky, hankey\n4580\tn03463666\t4534\tgroundsheet, ground cloth\n4581\tn03258330\t4534\tdustcloth, dustrag, duster\n4582\tn03207743\t4534\tdishrag, dishcloth\n4583\tn04459362\t4534\ttowel\n4584\tn02786198\t4534\tbandanna, bandana\n4585\tn03471190\t4534\tgusset, inset\n4586\tn02834397\t4534\tbib\n4587\tn04127904\t4534\tsail, canvas, canvass, sheet\n4588\tn03897943\t4534\tpatch\n4589\tn03490006\t4583\thand towel, face towel\n4590\tn03887697\t4583\tpaper towel\n4591\tn03207835\t4583\tdishtowel, dish towel, tea towel\n4592\tn03381776\t4587\tfore-and-aft sail\n4593\tn03383099\t4587\tforesail\n4594\tn04278447\t4587\tspinnaker\n4595\tn03505383\t4587\theadsail\n4596\tn04455652\t4587\ttopsail\n4597\tn03712337\t4587\tmainsail\n4598\tn02782602\t4587\tballoon sail\n4599\tn03598151\t4592\tjib\n4600\tn03775747\t4592\tmizzen, mizen\n4601\tn03410571\t4592\tgaff topsail, fore-and-aft topsail\n4602\tn03696568\t4592\tlugsail, lug\n4603\tn04307767\t4592\tstaysail\n4604\tn03645577\t4592\tlateen, lateen sail\n4605\tn03358380\t4588\tflash\n4606\tn04208065\t4588\tshoulder patch\n4607\tn03809603\t4539\tnarrow wale\n4608\tn02820556\t4539\tBedford cord\n4609\tn03703730\t4545\tmacrame\n4610\tn03938522\t4545\tpillow lace, bobbin lace\n4611\tn04045397\t1059\traft\n4612\tn03663531\t1059\tlife preserver, preserver, flotation device\n4613\tn03662719\t4612\tlife buoy, lifesaver, life belt, life ring\n4614\tn03703945\t4612\tMae West, air jacket\n4615\tn03662887\t4612\tlife jacket, life vest, cork jacket\n4616\tn04326084\t1060\tstone\n4617\tn02897820\t1060\tbrick\n4618\tn14943580\t1060\tlumber, timber\n4619\tn14785065\t1060\tbricks and mortar\n4620\tn15074568\t1060\ttile, roofing tile\n4621\tn14820180\t1060\tconcrete\n4622\tn04035912\t1060\tquoin, coign, coigne\n4623\tn03766935\t4616\tmillstone\n4624\tn04313628\t4616\tstele, stela\n4625\tn03530511\t4616\thone\n4626\tn03460297\t4616\tgrindstone\n4627\tn03149686\t4616\tcurbstone, kerbstone\n4628\tn03455488\t4616\tgravestone, headstone, tombstone\n4629\tn03344642\t4617\tfirebrick\n4630\tn03796522\t4617\tmud brick\n4631\tn03043693\t4617\tclinker, clinker brick\n4632\tn02681392\t4617\tadobe, adobe brick\n4633\tn04339638\t4618\tstrip\n4634\tn15102455\t4618\tchipboard, hardboard\n4635\tn04234455\t4633\tslat, spline\n4636\tn03341297\t4633\tfingerboard\n4637\tn04453390\t4633\ttoothpick\n4638\tn14908027\t4620\thip tile, hipped tile\n4639\tn14976759\t4620\tpantile\n4640\tn03111177\t1061\tcornice\n4641\tn03282401\t1061\tembellishment\n4642\tn03451798\t1061\tgraffito, graffiti\n4643\tn03292603\t1061\tepergne\n4644\tn03815149\t1061\tnecklet\n4645\tn03723267\t1061\tmarquetry, marqueterie\n4646\tn02892304\t1061\tbrass\n4647\tn07621618\t1061\tgarnish\n4648\tn02732572\t1061\tarabesque\n4649\tn03178782\t1061\tdesign, pattern, figure\n4650\tn02681518\t1061\tadornment\n4651\tn03397087\t1061\tfrieze\n4652\tn03635108\t1061\tlambrequin\n4653\tn04395651\t4649\ttattoo\n4654\tn03762602\t4649\tmihrab\n4655\tn03282591\t4649\temblem\n4656\tn06883725\t4649\tswastika, Hakenkreuz\n4657\tn03516367\t4649\therringbone, herringbone pattern\n4658\tn04682462\t4649\tspot, speckle, dapple, patch, fleck, maculation\n4659\tn03354903\t4655\tflag\n4660\tn02788021\t4655\tbanner, streamer\n4661\tn04458633\t4655\ttotem pole\n4662\tn03140292\t4655\tcrucifix, rood, rood-tree\n4663\tn03362890\t4655\tfleur-de-lis, fleur-de-lys\n4664\tn05244934\t4658\tmacule, macula\n4665\tn11487732\t4658\tparhelion, mock sun, sundog\n4666\tn03597469\t4650\tjewelry, jewellery\n4667\tn03397532\t4650\tfrill, flounce, ruffle, furbelow\n4668\tn03649161\t4650\tlavaliere, lavalier, lavalliere\n4669\tn03914106\t4650\tpeplum\n4670\tn02787435\t4650\tbangle, bauble, gaud, gewgaw, novelty, fallal, trinket\n4671\tn03030262\t4650\tcigar band\n4672\tn02685082\t4650\taigrette, aigret\n4673\tn02887970\t4666\tbracelet, bangle\n4674\tn02852043\t4666\tbling, bling bling\n4675\tn03909020\t4666\tpendant earring, drop earring, eardrop\n4676\tn03814906\t4666\tnecklace\n4677\tn03436075\t1062\tghat\n4678\tn03899328\t1062\tpath\n4679\tn04096066\t1062\troad, route\n4680\tn03895293\t1062\tpassage\n4681\tn04215402\t4678\tsidewalk, pavement\n4682\tn04461570\t4678\ttowpath, towing path\n4683\tn03904183\t4678\tpedestrian crossing, zebra crossing\n4684\tn03519981\t4679\thighway, main road\n4685\tn02969323\t4679\tcarriageway\n4686\tn04426618\t4679\tthoroughfare\n4687\tn04466613\t4679\ttrail\n4688\tn03215508\t4684\tdivided highway, dual carriageway\n4689\tn03306610\t4684\texpressway, freeway, motorway, pike, state highway, superhighway, throughway, thruway\n4690\tn02744323\t4684\tarterial road\n4691\tn02762508\t4689\tautostrada\n4692\tn02758863\t4689\tautobahn\n4693\tn04335209\t4686\tstreet\n4694\tn04334599\t4686\tstreet\n4695\tn03948242\t4687\tpiste\n4696\tn03539678\t4687\thorse-trail\n4697\tn02680512\t4680\tadit\n4698\tn03089014\t4680\tconduit\n4699\tn03895585\t4680\tpassageway\n4700\tn04493505\t4698\ttube, tubing\n4701\tn04244379\t4698\tsluice, sluiceway, penstock\n4702\tn04250850\t4698\tsnorkel, schnorkel, schnorchel, snorkel breather, breather\n4703\tn04562496\t4698\twaterspout\n4704\tn02984469\t4700\tcatheter\n4705\tn02795528\t4700\tbarrel, gun barrel\n4706\tn03944672\t4700\tpipe, pipage, piping\n4707\tn03533014\t4700\thookah, narghile, nargileh, sheesha, shisha, chicha, calean, kalian, water pipe, hubble-bubble, hubbly-bubbly\n4708\tn04385536\t4706\ttailpipe\n4709\tn03231912\t4706\tdrain, drainpipe, waste pipe\n4710\tn03147280\t4709\tculvert\n4711\tn04257684\t4709\tsoil pipe\n4712\tn04497962\t4699\ttunnel\n4713\tn04298661\t4699\tstairwell\n4714\tn03415749\t4699\tgangway\n4715\tn02981024\t4712\tcatacomb\n4716\tn04048441\t4712\trailroad tunnel\n4717\tn04391569\t1063\ttape\n4718\tn02784218\t1063\tband\n4719\tn03572107\t4717\tinkle\n4720\tn02680337\t4717\tadhesive tape\n4721\tn03957420\t4720\tplaster, adhesive plaster, sticking plaster\n4722\tn02992795\t4720\tcellulose tape, Scotch tape, Sellotape\n4723\tn03506028\t4718\theadstall, headpiece\n4724\tn03438071\t4718\tgirdle, cincture, sash, waistband, waistcloth\n4725\tn04440749\t4718\ttire, tyre\n4726\tn02739427\t4718\tarmlet, arm band\n4727\tn04040247\t4725\tradial, radial tire, radial-ply tire\n4728\tn02971167\t4725\tcar tire, automobile tire, auto tire, rubber tire\n4729\tn04381994\t1064\ttableware\n4730\tn04087432\t1064\triband, ribband\n4731\tn03153375\t4729\tcutlery, eating utensil\n4732\tn03438661\t4729\tglass\n4733\tn03527149\t4729\thollowware, holloware\n4734\tn03963198\t4729\tplatter\n4735\tn04284002\t4731\tspoon\n4736\tn04380346\t4731\ttable knife\n4737\tn03383948\t4731\tfork\n4738\tn04284438\t4731\tSpork\n4739\tn04263502\t4735\tsoupspoon, soup spoon\n4740\tn04398688\t4735\tteaspoon\n4741\tn04350769\t4735\tsugar spoon, sugar shell\n4742\tn04597913\t4735\twooden spoon\n4743\tn03557270\t4735\ticed-tea spoon\n4744\tn04381073\t4735\ttablespoon\n4745\tn03180384\t4735\tdessert spoon\n4746\tn02976249\t4736\tcase knife\n4747\tn02928049\t4736\tbutter knife\n4748\tn04307986\t4736\tsteak knife\n4749\tn04380255\t4737\ttablefork\n4750\tn02973805\t4737\tcarving fork\n4751\tn02687992\t1065\tairfield, landing field, flying field, field\n4752\tn04406817\t1065\ttelpherage, telferage\n4753\tn02693246\t1065\tair terminal, airport terminal\n4754\tn02692232\t1065\tairport, airdrome, aerodrome, drome\n4755\tn03745146\t1065\tmenagerie, zoo, zoological garden\n4756\tn04329190\t1065\tstorehouse, depot, entrepot, storage, store\n4757\tn04306080\t1065\tstation\n4758\tn04551055\t4756\twarehouse, storage warehouse\n4759\tn03452449\t4756\tgranary, garner\n4760\tn03131669\t4756\tcrib\n4761\tn03768916\t1066\tmineshaft\n4762\tn03214253\t1066\tditch\n4763\tn03587205\t4762\tirrigation ditch\n4764\tn03406966\t4762\tfurrow\n4765\tn03093574\t1067\tconsumer goods\n4766\tn03672352\t1067\tlinen\n4767\tn03051540\t4765\tclothing, article of clothing, vesture, wear, wearable, habiliment\n4768\tn02729837\t4765\tappliance\n4769\tn03655720\t4767\tleisure wear\n4770\tn03456186\t4767\tgrey, gray\n4771\tn02855925\t4767\tblue\n4772\tn03825080\t4767\tnightwear, sleepwear, nightclothes\n4773\tn04015204\t4767\tprotective garment\n4774\tn03859495\t4767\touterwear, overclothes\n4775\tn03815482\t4767\tneckpiece\n4776\tn03625943\t4767\tknitwear\n4777\tn03692379\t4767\tloungewear\n4778\tn02728440\t4767\tapparel, wearing apparel, dress, clothes\n4779\tn03068998\t4767\tcollar\n4780\tn03763968\t4767\tmilitary uniform\n4781\tn03502509\t4767\theaddress, headgear\n4782\tn03877472\t4767\tpajama, pyjama, pj's, jammies\n4783\tn03419014\t4767\tgarment\n4784\tn02742322\t4767\tarray, raiment, regalia\n4785\tn04596852\t4767\twoman's clothing\n4786\tn03863108\t4767\toverall\n4787\tn03441112\t4767\tglove\n4788\tn02671780\t4767\taccessory, accoutrement, accouterment\n4789\tn02846141\t4767\tblack\n4790\tn03381126\t4767\tfootwear\n4791\tn02756098\t4767\tattire, garb, dress\n4792\tn04059157\t4767\tready-to-wear\n4793\tn02814774\t4767\tbeachwear\n4794\tn03746330\t4767\tman's clothing\n4795\tn04335693\t4767\tstreet clothes\n4796\tn04241249\t4767\tslip-on\n4797\tn04194127\t4773\tshin guard, shinpad\n4798\tn03863262\t4773\toverall, boilersuit, boilers suit\n4799\tn04001845\t4773\tpressure suit\n4800\tn02738859\t4773\tarm guard, arm pad\n4801\tn03386870\t4773\tfoul-weather gear\n4802\tn03216402\t4773\tdiving suit, diving dress\n4803\tn02730930\t4773\tapron\n4804\tn04207903\t4773\tshoulder pad\n4805\tn03121897\t4773\tcoverall\n4806\tn03015478\t4773\tchest protector\n4807\tn03268645\t4773\telbow pad\n4808\tn04266375\t4773\tspacesuit\n4809\tn03623198\t4773\tknee pad\n4810\tn03450516\t4774\tgown, robe\n4811\tn04532106\t4810\tvestment\n4812\tn03010795\t4810\tchasuble\n4813\tn02669723\t4810\tacademic gown, academic robe, judge's robe\n4814\tn02811719\t4780\tbattle dress\n4815\tn03324928\t4780\tfatigues\n4816\tn03239259\t4780\tdress uniform\n4817\tn03615563\t4780\tkhakis\n4818\tn03513137\t4781\thelmet\n4819\tn03531281\t4781\thood\n4820\tn04498389\t4781\tturban\n4821\tn03497657\t4781\that, chapeau, lid\n4822\tn02954340\t4781\tcap\n4823\tn03124474\t4781\tcowl\n4824\tn04432203\t4781\ttiara\n4825\tn03379051\t4818\tfootball helmet\n4826\tn03492922\t4818\thard hat, tin hat, safety hat\n4827\tn03127747\t4818\tcrash helmet\n4828\tn04356595\t4821\tsunhat, sun hat\n4829\tn03404360\t4821\tfur hat\n4830\tn03124170\t4821\tcowboy hat, ten-gallon hat\n4831\tn02817516\t4821\tbearskin, busby, shako\n4832\tn02859184\t4821\tboater, leghorn, Panama, Panama hat, sailor, skimmer, straw hat\n4833\tn04248507\t4821\tsnap-brim hat\n4834\tn03325941\t4821\tfedora, felt hat, homburg, Stetson, trilby\n4835\tn02987379\t4821\tcavalier hat, slouch hat\n4836\tn04259630\t4821\tsombrero\n4837\tn04482177\t4821\ttricorn, tricorne\n4838\tn02818135\t4821\tbeaver, castor\n4839\tn03984643\t4821\tporkpie, porkpie hat\n4840\tn02869837\t4821\tbonnet, poke bonnet\n4841\tn03950899\t4821\tpith hat, pith helmet, sun helmet, topee, topi\n4842\tn02881757\t4821\tbowler hat, bowler, derby hat, derby, plug hat\n4843\tn03766322\t4821\tmillinery, woman's hat\n4844\tn03046029\t4843\tcloche\n4845\tn03937835\t4843\tpillbox, toque, turban\n4846\tn02799323\t4822\tbaseball cap, jockey cap, golf cap\n4847\tn03103563\t4822\tcoonskin cap, coonskin\n4848\tn04209133\t4822\tshower cap\n4849\tn03610682\t4822\tkepi, peaked cap, service cap, yachting cap\n4850\tn02776825\t4822\tbalaclava, balaclava helmet\n4851\tn03331077\t4822\tfez, tarboosh\n4852\tn04387095\t4822\ttam, tam-o'-shanter, tammy\n4853\tn02831237\t4822\tberet\n4854\tn04232153\t4822\tskullcap\n4855\tn03049924\t4822\tcloth cap, flat cap\n4856\tn04228693\t4822\tski cap, stocking cap, toboggan cap\n4857\tn04556408\t4822\twatch cap\n4858\tn02807133\t4822\tbathing cap, swimming cap\n4859\tn03787032\t4822\tmortarboard\n4860\tn04612026\t4854\tyarmulke, yarmulka, yarmelke\n4861\tn02816768\t4854\tbeanie, beany\n4862\tn03502331\t4783\thead covering, veil\n4863\tn04143897\t4783\tscarf\n4864\tn04104770\t4783\tromper, romper suit\n4865\tn03188531\t4783\tdiaper, nappy, napkin\n4866\tn04605572\t4783\twraparound\n4867\tn04097866\t4783\trobe\n4868\tn04574067\t4783\twet suit\n4869\tn03655072\t4783\tlegging, leging, leg covering\n4870\tn04230808\t4783\tskirt\n4871\tn04508163\t4783\tundergarment, unmentionable\n4872\tn04172904\t4783\tseparate\n4873\tn04531873\t4783\tvest, waistcoat\n4874\tn04197391\t4783\tshirt\n4875\tn03863923\t4783\tovergarment, outer garment\n4876\tn03540090\t4783\those\n4877\tn02922578\t4783\tburqa, burka\n4878\tn04488530\t4783\ttrouser\n4879\tn04489008\t4783\ttrouser, pant\n4880\tn04332580\t4783\tstraitjacket, straightjacket\n4881\tn03404149\t4783\tfur\n4882\tn03816005\t4783\tneckwear\n4883\tn04370774\t4783\tsweat suit, sweatsuit, sweats, workout suit\n4884\tn03657511\t4783\tleotard, unitard, body suit, cat suit\n4885\tn04371563\t4783\tswimsuit, swimwear, bathing suit, swimming costume, bathing costume\n4886\tn03487642\t4783\thand-me-down\n4887\tn04046277\t4783\traglan\n4888\tn04350905\t4783\tsuit, suit of clothes\n4889\tn04370048\t4783\tsweater, jumper\n4890\tn03450734\t4783\tgown, surgical gown, scrubs\n4891\tn03314884\t4862\tface veil\n4892\tn03826039\t4862\tniqab\n4893\tn02998841\t4862\tchador, chadar, chaddar, chuddar\n4894\tn03719743\t4863\tmantilla\n4895\tn03797182\t4863\tmuffler\n4896\tn03505504\t4863\theadscarf\n4897\tn04495698\t4863\ttudung\n4898\tn03325584\t4863\tfeather boa, boa\n4899\tn04325704\t4863\tstole\n4900\tn03520493\t4896\thijab\n4901\tn03615655\t4896\tkhimar\n4902\tn03237992\t4867\tdressing gown, robe-de-chambre, lounging robe\n4903\tn03617480\t4867\tkimono\n4904\tn02667093\t4867\tabaya\n4905\tn02807616\t4867\tbathrobe\n4906\tn03410938\t4869\tgaiter\n4907\tn04269822\t4869\tspat, gaiter\n4908\tn03866082\t4870\toverskirt\n4909\tn03454442\t4870\tgrass skirt\n4910\tn03770439\t4870\tminiskirt, mini\n4911\tn03617312\t4870\tkilt\n4912\tn03732458\t4870\tmaxi\n4913\tn02780815\t4870\tballet skirt, tutu\n4914\tn03205669\t4870\tdirndl\n4915\tn04136333\t4870\tsarong\n4916\tn03534580\t4870\thoopskirt, crinoline\n4917\tn03920737\t4871\tpetticoat, half-slip, underskirt\n4918\tn02892767\t4871\tbrassiere, bra, bandeau\n4919\tn03387323\t4871\tfoundation garment, foundation\n4920\tn04223299\t4871\tsinglet, vest, undershirt\n4921\tn03421324\t4871\tgarter belt, suspender belt\n4922\tn03132776\t4871\tcrinoline\n4923\tn04508949\t4871\tunderwear, underclothes, underclothing\n4924\tn02863014\t4871\tbody stocking\n4925\tn02944146\t4871\tcamisole, underbodice\n4926\tn04514241\t4871\tuplift\n4927\tn03013580\t4871\tchemise, shimmy, shift, slip, teddy\n4928\tn04508489\t4871\tunderpants\n4929\tn03112869\t4919\tcorset, girdle, stays\n4930\tn03885788\t4919\tpanty girdle\n4931\tn04103665\t4919\troll-on\n4932\tn03673450\t4923\tlingerie, intimate apparel\n4933\tn03688192\t4923\tlong johns\n4934\tn02930214\t4923\tBVD, BVD's\n4935\tn04509171\t4932\tundies\n4936\tn03824381\t4932\tnightgown, gown, nightie, night-robe, nightdress\n4937\tn02854739\t4928\tbloomers, pants, drawers, knickers\n4938\tn04426427\t4928\tthong\n4939\tn02837887\t4928\tbikini pants\n4940\tn02901114\t4928\tbriefs, Jockey shorts\n4941\tn03885028\t4928\tpantie, panty, scanty, step-in\n4942\tn03234164\t4928\tdrawers, underdrawers, shorts, boxers, boxershorts\n4943\tn04602956\t4874\twork-shirt\n4944\tn03629231\t4874\tkurta\n4945\tn03595614\t4874\tjersey, T-shirt, tee shirt\n4946\tn03163381\t4874\tdashiki, daishiki\n4947\tn03978966\t4874\tpolo shirt, sport shirt\n4948\tn03057021\t4875\tcoat\n4949\tn03045337\t4875\tcloak\n4950\tn04252560\t4875\tsnowsuit\n4951\tn04363777\t4948\tsurcoat\n4952\tn03254046\t4948\tduffel coat, duffle coat\n4953\tn04187970\t4948\tsheepskin coat, afghan\n4954\tn03398228\t4948\tfrock coat\n4955\tn03630383\t4948\tlab coat, laboratory coat\n4956\tn03456665\t4948\tgreatcoat, overcoat, topcoat\n4957\tn03589791\t4948\tjacket\n4958\tn04049405\t4948\traincoat, waterproof\n4959\tn02957008\t4948\tcapote, hooded coat\n4960\tn04123448\t4948\tsack coat\n4961\tn03404251\t4948\tfur coat\n4962\tn03751269\t4957\tmess jacket, monkey jacket, shell jacket\n4963\tn04222307\t4957\tsingle-breasted jacket\n4964\tn02867966\t4957\tbomber jacket\n4965\tn03902756\t4957\tpea jacket, peacoat\n4966\tn04368496\t4957\tswallow-tailed coat, swallowtail, morning coat\n4967\tn03228254\t4957\tdoublet\n4968\tn02864504\t4957\tbolero\n4969\tn03891051\t4957\tparka, windbreaker, windcheater, anorak\n4970\tn03844815\t4958\toilskin, slicker\n4971\tn04479046\t4958\ttrench coat\n4972\tn03770954\t4961\tmink, mink coat\n4973\tn04122492\t4961\tsable coat\n4974\tn03980874\t4949\tponcho\n4975\tn04445154\t4949\ttoga virilis\n4976\tn04445040\t4949\ttoga\n4977\tn03607923\t4949\tkameez\n4978\tn04173907\t4949\tserape, sarape\n4979\tn04497570\t4949\ttunic\n4980\tn04186455\t4949\tshawl\n4981\tn02936402\t4949\tcaftan, kaftan\n4982\tn04205318\t4879\tshort pants, shorts, trunks\n4983\tn03877674\t4879\tpajama, pyjama\n4984\tn04370288\t4879\tsweat pants, sweatpants\n4985\tn04132158\t4879\tsalwar, shalwar\n4986\tn02896442\t4879\tbreeches, knee breeches, knee pants, knickerbockers, knickers\n4987\tn03019434\t4879\tchino\n4988\tn04233715\t4879\tslacks\n4989\tn03600285\t4879\tjodhpurs, jodhpur breeches, riding breeches\n4990\tn03903733\t4879\tpedal pusher, toreador pants\n4991\tn03688605\t4879\tlong trousers, long pants\n4992\tn03594734\t4879\tjean, blue jean, denim\n4993\tn03107488\t4879\tcords, corduroys\n4994\tn03660124\t4879\tLevi's, levis\n4995\tn04337287\t4879\tstretch pants\n4996\tn02825442\t4879\tbellbottom trousers, bell-bottoms, bellbottom pants\n4997\tn02910864\t4879\tbuckskins\n4998\tn03543112\t4982\thot pants\n4999\tn02831595\t4982\tBermuda shorts, Jamaica shorts\n5000\tn03653833\t4982\tlederhosen\n5001\tn03815615\t4882\tnecktie, tie\n5002\tn03128085\t4882\tcravat\n5003\tn02865351\t5001\tbolo tie, bolo, bola tie, bola\n5004\tn04591157\t5001\tWindsor tie\n5005\tn02883205\t5001\tbow tie, bow-tie, bowtie\n5006\tn02847631\t5001\tblack tie\n5007\tn03710721\t4885\tmaillot, tank suit\n5008\tn04371430\t4885\tswimming trunks, bathing trunks\n5009\tn02837789\t4885\tbikini, two-piece\n5010\tn03226538\t4888\tdouble-breasted suit\n5011\tn03943920\t4888\tpinstripe\n5012\tn04222470\t4888\tsingle-breasted suit\n5013\tn03885669\t4888\tpants suit, pantsuit\n5014\tn02925519\t4888\tbusiness suit\n5015\tn04427715\t5014\tthree-piece suit\n5016\tn04504141\t5014\ttwo-piece, two-piece suit, lounge suit\n5017\tn04502197\t4889\tturtleneck, turtle, polo-neck\n5018\tn02963159\t4889\tcardigan\n5019\tn04370456\t4889\tsweatshirt\n5020\tn04021028\t4889\tpullover, slipover\n5021\tn04453666\t4785\ttop\n5022\tn03464053\t4785\tG-string, thong\n5023\tn02944075\t4785\tcamisole\n5024\tn03236735\t4785\tdress, frock\n5025\tn02861387\t5021\tbodice\n5026\tn02854926\t5021\tblouse\n5027\tn03480579\t5021\thalter\n5028\tn03062015\t5024\tcocktail dress, sheath\n5029\tn04136161\t5024\tsari, saree\n5030\tn02936570\t5024\tcaftan, kaftan\n5031\tn04355511\t5024\tsundress\n5032\tn03013438\t5024\tchemise, sack, shift\n5033\tn04334105\t5024\tstrapless\n5034\tn03450230\t5024\tgown\n5035\tn03604400\t5024\tjumper, pinafore, pinny\n5036\tn03205574\t5024\tdirndl\n5037\tn02898585\t5034\tbridal gown, wedding gown, wedding dress\n5038\tn04397645\t5034\ttea gown\n5039\tn02781121\t5034\tball gown\n5040\tn03429682\t4787\tgauntlet, gantlet\n5041\tn03775071\t4787\tmitten\n5042\tn03616979\t4787\tkid glove, suede glove\n5043\tn02827606\t4788\tbelt\n5044\tn03405595\t4788\tfurnishing, trappings\n5045\tn03781683\t5043\tmoney belt\n5046\tn03527565\t5043\tholster\n5047\tn02972397\t5043\tcartridge belt\n5048\tn03540267\t4790\thosiery, hose\n5049\tn04434932\t5048\ttights, leotards\n5050\tn04254777\t5048\tsock\n5051\tn04323819\t5048\tstocking\n5052\tn03885904\t5049\tpantyhose\n5053\tn03710637\t5049\tmaillot\n5054\tn02752496\t5050\tathletic sock, sweat sock, varsity sock\n5055\tn04378956\t5050\ttabi, tabis\n5056\tn03622931\t5050\tknee-high, knee-hi\n5057\tn02736798\t5050\targyle, argyll\n5058\tn03836976\t5051\tnylons, nylon stocking, rayons, rayon stocking, silk stocking\n5059\tn03026506\t5051\tChristmas stocking\n5060\tn03384891\t4791\tformalwear, eveningwear, evening dress, evening clothes\n5061\tn03289985\t4791\tensemble\n5062\tn03859958\t4791\toutfit, getup, rig, turnout\n5063\tn02726017\t4791\tao dai\n5064\tn03113657\t4791\tcostume\n5065\tn03320519\t4791\tfancy dress, masquerade, masquerade costume\n5066\tn03113835\t4791\tcostume\n5067\tn03398153\t4791\tfrock\n5068\tn04285803\t4791\tsportswear, athletic wear, activewear\n5069\tn02669534\t4791\tacademic costume\n5070\tn03206718\t4791\tdisguise\n5071\tn03476083\t4791\thairpiece, false hair, postiche\n5072\tn03201776\t5060\tdinner jacket, tux, tuxedo, black tie\n5073\tn02780704\t5060\tballdress\n5074\tn03201638\t5060\tdinner dress, dinner gown, formal, evening gown\n5075\tn03239054\t5060\tdress suit, full dress, tailcoat, tail coat, tails, white tie, white tie and tails\n5076\tn02683454\t5071\tAfro-wig\n5077\tn04459018\t5071\ttoupee, toupe\n5078\tn04584207\t5071\twig\n5079\tn03237416\t4794\tdress hat, high hat, opera hat, silk hat, stovepipe, top hat, topper, beaver\n5080\tn02887489\t4794\tbrace, suspender, gallus\n5081\tn02752615\t4794\tathletic supporter, supporter, suspensor, jockstrap, jock\n5082\tn03528263\t4768\thome appliance, household appliance\n5083\tn03251766\t4768\tdryer, drier\n5084\tn04517823\t5082\tvacuum, vacuum cleaner\n5085\tn03584829\t5082\tiron, smoothing iron\n5086\tn04488857\t5082\ttrouser press, pants presser\n5087\tn03150511\t5082\tcurling iron\n5088\tn04580493\t5082\twhite goods\n5089\tn04179913\t5082\tsewing machine\n5090\tn04174101\t5082\tserger\n5091\tn03620052\t5082\tkitchen appliance\n5092\tn03534776\t5082\tHoover\n5093\tn04475631\t5085\ttravel iron\n5094\tn04309833\t5085\tsteam iron\n5095\tn03207941\t5088\tdishwasher, dish washer, dishwashing machine\n5096\tn04070727\t5088\trefrigerator, icebox\n5097\tn04554684\t5088\twasher, automatic washer, washing machine\n5098\tn03102654\t5096\tcooler, ice chest\n5099\tn03273913\t5096\telectric refrigerator, fridge\n5100\tn03557590\t5099\tice machine\n5101\tn03170635\t5099\tdeep-freeze, Deepfreeze, deep freezer, freezer\n5102\tn04442312\t5091\ttoaster\n5103\tn03761084\t5091\tmicrowave, microwave oven\n5104\tn04442441\t5091\ttoaster oven\n5105\tn03063338\t5091\tcoffee maker\n5106\tn03543254\t5091\thot plate, hotplate\n5107\tn04542943\t5091\twaffle iron\n5108\tn03212114\t5091\tdisposal, electric pig, garbage disposal\n5109\tn03297495\t5091\tespresso maker\n5110\tn04330340\t5091\tstove, kitchen stove, range, kitchen range, cooking stove\n5111\tn03862676\t5091\toven\n5112\tn03378174\t5091\tfood processor\n5113\tn03557692\t5091\tice maker\n5114\tn03102371\t5110\tcookstove\n5115\tn03273740\t5110\telectric range\n5116\tn03425595\t5110\tgas range, gas stove, gas cooker\n5117\tn04003241\t5110\tPrimus stove, Primus\n5118\tn02905036\t5111\tbroiler\n5119\tn04111531\t5111\trotisserie\n5120\tn03259280\t5111\tDutch oven\n5121\tn03425241\t5111\tgas oven\n5122\tn03483316\t5083\thand blower, blow dryer, blow drier, hair dryer, hair drier\n5123\tn03050655\t5083\tclothes dryer, clothes drier\n5124\tn04277826\t5123\tspin dryer, spin drier\n5125\tn04496726\t5123\ttumble-dryer, tumble drier\n5126\tn04607242\t5123\twringer\n5127\tn02808304\t4766\tbath towel\n5128\tn03219010\t4766\tdoily, doyley, doyly\n5129\tn04499446\t4766\tTurkish towel, terry towel\n5130\tn02821030\t4766\tbed linen\n5131\tn03938725\t5130\tpillow sham\n5132\tn04188179\t5130\tsheet, bed sheet\n5133\tn04439712\t1068\ttinfoil, tin foil\n5134\tn03971218\t1068\tplywood, plyboard\n5135\tn03223553\t1068\tdoorplate\n5136\tn02856463\t1068\tboard\n5137\tn03250279\t1068\tdrumhead, head\n5138\tn03882058\t1068\tpanel\n5139\tn03635668\t1068\tlaminate\n5140\tn02846511\t1068\tblackboard, chalkboard\n5141\tn04251791\t5136\tsnowboard\n5142\tn04189816\t5136\tSheetrock\n5143\tn02731900\t5136\taquaplane\n5144\tn04225987\t5136\tskateboard\n5145\tn04214046\t5136\tsideboard\n5146\tn04149813\t5136\tscoreboard\n5147\tn04543996\t5138\twainscot, wainscoting, wainscotting\n5148\tn03502200\t5138\theadboard\n5149\tn03005285\t1069\tchandelier, pendant, pendent\n5150\tn03969259\t1069\tplumbing fixture\n5151\tn04254009\t1069\tsoap dish\n5152\tn04446521\t5150\ttoilet, can, commode, crapper, pot, potty, stool, throne\n5153\tn04208936\t5150\tshower\n5154\tn04559451\t5150\twater faucet, water tap, tap, hydrant\n5155\tn03371875\t5152\tflush toilet, lavatory\n5156\tn03993053\t5152\tpotty seat, potty chair\n5157\tn04108268\t1071\trope\n5158\tn03106110\t1071\tcord\n5159\tn03644378\t5157\tlasso, lariat, riata, reata\n5160\tn02919890\t5157\tbungee, bungee cord\n5161\tn04290079\t5157\tspun yarn\n5162\tn03107046\t5157\tcordage\n5163\tn04426788\t5158\tthread, yarn\n5164\tn02874537\t5158\tbootlace\n5165\tn04581829\t5158\twick, taper\n5166\tn03641569\t5158\tlanyard, laniard\n5167\tn03367545\t5163\tfloss\n5168\tn04598965\t5163\twoof, weft, filling, pick\n5169\tn04605321\t5163\tworsted, worsted yarn\n5170\tn00004475\t1042\torganism, being\n5171\tn00006484\t1042\tcell\n5172\tn12739332\t5170\tmistletoe, Viscum album, Old World mistletoe\n5173\tn00017222\t5170\tplant, flora, plant life\n5174\tn00015388\t5170\tanimal, animate being, beast, brute, creature, fauna\n5175\tn01326291\t5170\tmicroorganism, micro-organism\n5176\tn11537327\t5170\tbryophyte, nonvascular plant\n5177\tn00007846\t5170\tperson, individual, someone, somebody, mortal, soul\n5178\tn12992868\t5170\tfungus\n5179\tn00005787\t5170\tbenthos\n5180\tn12172906\t5173\tflowering maple\n5181\tn13083586\t5173\tvascular plant, tracheophyte\n5182\tn13123431\t5173\tstrangler, strangler tree\n5183\tn11536673\t5173\taquatic\n5184\tn11552806\t5173\tannual\n5185\tn13083023\t5173\thouseplant\n5186\tn13100156\t5173\tpoisonous plant\n5187\tn12476510\t5181\tagave, century plant, American aloe\n5188\tn11545524\t5181\tpteridophyte, nonflowering plant\n5189\tn11552386\t5181\tspermatophyte, phanerogam, seed plant\n5190\tn13121544\t5181\taquatic plant, water plant, hydrophyte, hydrophytic plant\n5191\tn12205694\t5181\therb, herbaceous plant\n5192\tn13100677\t5181\tvine\n5193\tn13103136\t5181\twoody plant, ligneous plant\n5194\tn13085113\t5181\tweed\n5195\tn13084834\t5181\tcultivar\n5196\tn13134302\t5181\tbulbous plant\n5197\tn13084184\t5181\tsucculent\n5198\tn12477163\t5187\tAmerican agave, Agave americana\n5199\tn12477583\t5187\tmaguey, cantala, Agave cantala\n5200\tn12477747\t5187\tmaguey, Agave atrovirens\n5201\tn12480895\t5187\tsansevieria, bowstring hemp\n5202\tn12479537\t5187\tdracaena\n5203\tn12481458\t5187\tmother-in-law's tongue, snake plant, Sansevieria trifasciata\n5204\tn11547562\t5188\tfern ally\n5205\tn11545714\t5188\tfern\n5206\tn13221529\t5204\tclub moss, club-moss, lycopod\n5207\tn13220122\t5204\tscouring rush, rough horsetail, Equisetum hyemale, Equisetum hyemale robustum, Equisetum robustum\n5208\tn13223265\t5206\tground pine, Christmas green\n5209\tn13223588\t5208\tground cedar, staghorn moss, Lycopodium complanatum\n5210\tn13223710\t5208\tground fir, princess pine, tree clubmoss, Lycopodium obscurum\n5211\tn12953206\t5205\tflowering fern, osmund\n5212\tn13194572\t5205\tlady fern, Athyrium filix-femina\n5213\tn13205058\t5205\tBoston fern, Nephrolepis exaltata, Nephrolepis exaltata bostoniensis\n5214\tn12961879\t5205\tflowering fern, Helminthostachys zeylanica\n5215\tn12953484\t5205\troyal fern, royal osmund, king fern, ditch fern, French bracken, Osmunda regalis\n5216\tn13186654\t5205\ttree fern\n5217\tn13197274\t5205\toak fern, Gymnocarpium dryopteris, Thelypteris dryopteris\n5218\tn13173882\t5205\tcommon polypody, adder's fern, wall fern, golden maidenhair, golden polypody, sweet fern, Polypodium vulgare\n5219\tn13229543\t5205\tmountain fern, Oreopteris limbosperma, Dryopteris oreopteris\n5220\tn13192625\t5205\tshield fern, buckler fern\n5221\tn13185269\t5205\tdeer fern, Blechnum spicant\n5222\tn13193642\t5205\twood fern, wood-fern, woodfern\n5223\tn13207335\t5205\tAmerican maidenhair fern, five-fingered maidenhair fern, Adiantum pedatum\n5224\tn13183056\t5205\thart's-tongue, hart's-tongue fern, Asplenium scolopendrium, Phyllitis scolopendrium\n5225\tn13200651\t5205\tsoft shield fern, Polystichum setiferum\n5226\tn13195341\t5205\tholly fern, Cyrtomium aculeatum, Polystichum aculeatum\n5227\tn13206817\t5205\tmaidenhair, maidenhair fern\n5228\tn13199970\t5205\tholly fern\n5229\tn12957924\t5205\twater clover, Marsilea quadrifolia\n5230\tn13198914\t5205\tsensitive fern, bead fern, Onoclea sensibilis\n5231\tn13199717\t5205\tChristmas fern, canker brake, dagger fern, evergreen wood fern, Polystichum acrostichoides\n5232\tn13215586\t5216\tangiopteris, giant fern, Angiopteris evecta\n5233\tn13190747\t5216\tsoft tree fern, Dicksonia antarctica\n5234\tn13193856\t5222\tmale fern, Dryopteris filix-mas\n5235\tn13194036\t5222\tmarginal wood fern, evergreen wood fern, leatherleaf wood fern, Dryopteris marginalis\n5236\tn11665372\t5189\tangiosperm, flowering plant\n5237\tn11596108\t5189\tgymnosperm\n5238\tn12694486\t5236\tbarbados cherry, acerola, Surinam cherry, West Indian cherry, Malpighia glabra\n5239\tn11666854\t5236\tdicot, dicotyledon, magnoliopsid, exogen\n5240\tn11669921\t5236\tflower\n5241\tn11672400\t5236\twildflower, wild flower\n5242\tn12606438\t5240\tcommelina\n5243\tn12799776\t5240\twoodland star, Lithophragma affine, Lithophragma affinis, Tellima affinis\n5244\tn11736694\t5240\tnigella\n5245\tn12008487\t5240\tblack-eyed Susan, Rudbeckia hirta, Rudbeckia serotina\n5246\tn11955896\t5240\tmistflower, mist-flower, ageratum, Conoclinium coelestinum, Eupatorium coelestinum\n5247\tn12879527\t5240\tcalceolaria, slipperwort\n5248\tn12884260\t5240\ttoadflax, butter-and-eggs, wild snapdragon, devil's flax, Linaria vulgaris\n5249\tn12034141\t5240\tzinnia, old maid, old maid flower\n5250\tn12290748\t5240\tcentaury\n5251\tn12026476\t5240\tEaster daisy, stemless daisy, Townsendia Exscapa\n5252\tn12833149\t5240\tAfrican violet, Saintpaulia ionantha\n5253\tn11892817\t5240\tbrompton stock, Matthiola incana\n5254\tn12914923\t5240\tverbena, vervain\n5255\tn11969607\t5240\tblue daisy, blue marguerite, Felicia amelloides\n5256\tn11794024\t5240\tpink calla, Zantedeschia rehmanii\n5257\tn12026018\t5240\tMexican sunflower, tithonia\n5258\tn11672269\t5240\tbloomer\n5259\tn12830222\t5240\tachimenes, hot water plant\n5260\tn11811473\t5240\tlychnis, catchfly\n5261\tn12022054\t5240\tpainted daisy, pyrethrum, Tanacetum coccineum, Chrysanthemum coccineum\n5262\tn11971406\t5240\ttreasure flower, Gazania rigens\n5263\tn11826198\t5240\tglobe amaranth, bachelor's button, Gomphrena globosa\n5264\tn12950314\t5240\tcommon valerian, garden heliotrope, Valeriana officinalis\n5265\tn11857875\t5240\trose moss, sun plant, Portulaca grandiflora\n5266\tn11988596\t5240\ttidytips, tidy tips, Layia platyglossa\n5267\tn11939699\t5240\tcommon daisy, English daisy, Bellis perennis\n5268\tn11915214\t5240\tcomposite, composite plant\n5269\tn11821184\t5240\tice plant, icicle plant, Mesembryanthemum crystallinum\n5270\tn12293723\t5240\tgentian\n5271\tn11814584\t5240\tsoapwort, hedge pink, bouncing Bet, bouncing Bess, Saponaria officinalis\n5272\tn11725015\t5240\tanemone, windflower\n5273\tn12890265\t5240\tveronica, speedwell\n5274\tn11733312\t5240\tlarkspur\n5275\tn11859472\t5240\tspring beauty, Clatonia lanceolata\n5276\tn11971248\t5240\tgazania\n5277\tn11888800\t5240\tdamask violet, Dame's violet, sweet rocket, Hesperis matronalis\n5278\tn11971927\t5240\tBarberton daisy, Transvaal daisy, Gerbera jamesonii\n5279\tn12898774\t5240\tbush violet, browallia\n5280\tn11810358\t5240\tbaby's breath, babies'-breath, Gypsophila paniculata\n5281\tn11904109\t5240\tcorydalis\n5282\tn11943407\t5240\tcalendula\n5283\tn11978233\t5240\tsunflower, helianthus\n5284\tn12683407\t5240\tscabious, scabiosa\n5285\tn12950126\t5240\tvalerian\n5286\tn11726707\t5240\true anemone, Anemonella thalictroides\n5287\tn11813077\t5240\tsandwort, Moehringia mucosa\n5288\tn11889619\t5240\tcandytuft\n5289\tn11905749\t5240\thorn poppy, horned poppy, yellow horned poppy, sea poppy, Glaucium flavum\n5290\tn11812910\t5240\tsandwort, Moehringia lateriflora\n5291\tn11900569\t5240\tpoppy\n5292\tn12020184\t5240\tstokes' aster, cornflower aster, Stokesia laevis\n5293\tn11960245\t5240\tdahlia, Dahlia pinnata\n5294\tn11859737\t5240\tVirginia spring beauty, Claytonia virginica\n5295\tn12909421\t5240\tpetunia\n5296\tn12041446\t5240\torchid, orchidaceous plant\n5297\tn12909917\t5240\thybrid petunia, Petunia hybrida\n5298\tn11992806\t5240\tAfrican daisy, yellow ageratum, Lonas inodora, Lonas annua\n5299\tn11807979\t5240\tpink, garden pink\n5300\tn11925303\t5240\tAfrican daisy\n5301\tn11971783\t5240\tAfrican daisy\n5302\tn11939491\t5240\tdaisy\n5303\tn11918473\t5240\tcommon ageratum, Ageratum houstonianum\n5304\tn11989869\t5240\toxeye daisy, ox-eyed daisy, marguerite, moon daisy, white daisy, Leucanthemum vulgare, Chrysanthemum leucanthemum\n5305\tn11727091\t5240\tcolumbine, aquilegia, aquilege\n5306\tn11793779\t5240\tcalla lily, calla, arum lily, Zantedeschia aethiopica\n5307\tn11891175\t5240\tsweet alyssum, sweet alison, Lobularia maritima\n5308\tn11792341\t5240\tspathiphyllum, peace lily, spathe flower\n5309\tn11839568\t5240\tfour o'clock\n5310\tn11943660\t5240\tcommon marigold, pot marigold, ruddles, Scotch marigold, Calendula officinalis\n5311\tn11947802\t5240\tcornflower, bachelor's button, bluebottle, Centaurea cyanus\n5312\tn12475242\t5240\tstrawflower, cornflower, Uvularia grandiflora\n5313\tn11815491\t5240\tsilene, campion, catchfly\n5314\tn12480456\t5240\ttuberose, Polianthes tuberosa\n5315\tn11839823\t5240\tcommon four-o'clock, marvel-of-Peru, Mirabilis jalapa, Mirabilis uniflora\n5316\tn11732567\t5240\trocket larkspur, Consolida ambigua, Delphinium ajacis\n5317\tn12475035\t5240\tbellwort, merry bells, wild oats\n5318\tn12360108\t5240\tbegonia\n5319\tn12833985\t5240\tstreptocarpus\n5320\tn11941924\t5240\tSwan River daisy, Brachycome Iberidifolia\n5321\tn11883328\t5240\twallflower, Cheiranthus cheiri, Erysimum cheiri\n5322\tn11719286\t5240\tpeony, paeony\n5323\tn11736851\t5240\tlove-in-a-mist, Nigella damascena\n5324\tn11887119\t5240\twallflower\n5325\tn12001707\t5240\tcineraria, Pericallis cruenta, Senecio cruentus\n5326\tn11950345\t5240\tchrysanthemum\n5327\tn11892637\t5240\tstock, gillyflower\n5328\tn11805956\t5240\tsandwort\n5329\tn11892029\t5240\tMalcolm stock, stock\n5330\tn11806219\t5240\tmountain sandwort, mountain starwort, mountain daisy, Arenaria groenlandica\n5331\tn12008252\t5240\tconeflower\n5332\tn11918286\t5240\tageratum\n5333\tn11962272\t5240\tconeflower\n5334\tn12093600\t5240\tsowbread, Cyclamen hederifolium, Cyclamen neopolitanum\n5335\tn12836862\t5240\tscorpionweed, scorpion weed, phacelia\n5336\tn12093329\t5240\tcyclamen, Cyclamen purpurascens\n5337\tn11733054\t5240\tdelphinium\n5338\tn12020507\t5240\tmarigold\n5339\tn11931918\t5240\taster\n5340\tn11958080\t5240\tcosmos, cosmea\n5341\tn12877838\t5240\tMediterranean snapdragon, Antirrhinum majus\n5342\tn11812094\t5260\tmullein pink, rose campion, gardener's delight, dusty miller, Lychnis coronaria\n5343\tn11811706\t5260\tragged robin, cuckoo flower, Lychnis flos-cuculi, Lychins floscuculi\n5344\tn11923174\t5268\tmayweed, dog fennel, stinking mayweed, stinking chamomile, Anthemis cotula\n5345\tn12023726\t5268\ttansy, golden buttons, scented fern, Tanacetum vulgare\n5346\tn12023407\t5268\tdusty miller, silver-lace, silver lace, Tanacetum ptarmiciflorum, Chrysanthemum ptarmiciflorum\n5347\tn11923637\t5268\tcorn chamomile, field chamomile, corn mayweed, Anthemis arvensis\n5348\tn11990313\t5268\tshasta daisy, Leucanthemum superbum, Chrysanthemum maximum maximum\n5349\tn11915899\t5268\teverlasting, everlasting flower\n5350\tn12030908\t5268\twingstem, golden ironweed, yellow ironweed, golden honey plant, Verbesina alternifolia, Actinomeris alternifolia\n5351\tn12015221\t5268\trosinweed, Silphium laciniatum\n5352\tn11990167\t5268\toxeye daisy, Leucanthemum maximum, Chrysanthemum maximum\n5353\tn11981192\t5349\tstrawflower\n5354\tn11980318\t5349\tstrawflower, golden everlasting, yellow paper daisy, Helichrysum bracteatum\n5355\tn11972759\t5349\tcudweed\n5356\tn11921395\t5349\tpearly everlasting, cottonweed, Anaphalis margaritacea\n5357\tn12294124\t5270\tgentianella, Gentiana acaulis\n5358\tn12295796\t5270\tagueweed, ague weed, five-flowered gentian, stiff gentian, Gentianella quinquefolia, Gentiana quinquefolia\n5359\tn12294723\t5270\tclosed gentian, blind gentian, Gentiana clausa\n5360\tn12294331\t5270\tclosed gentian, blind gentian, bottle gentian, Gentiana andrewsii\n5361\tn12294871\t5270\tgreat yellow gentian, Gentiana lutea\n5362\tn12296432\t5270\tfringed gentian\n5363\tn12295033\t5270\tmarsh gentian, calathian violet, Gentiana pneumonanthe\n5364\tn11726269\t5272\tsnowdrop anemone, snowdrop windflower, Anemone sylvestris\n5365\tn11725821\t5272\twood anemone, Anemone nemorosa\n5366\tn11725973\t5272\twood anemone, snowdrop, Anemone quinquefolia\n5367\tn12891305\t5273\tgermander speedwell, bird's eye, Veronica chamaedrys\n5368\tn12891643\t5273\tcommon speedwell, gypsyweed, Veronica officinalis\n5369\tn11978713\t5283\tcommon sunflower, mirasol, Helianthus annuus\n5370\tn11979527\t5283\tprairie sunflower, Helianthus petiolaris\n5371\tn11978961\t5283\tgiant sunflower, tall sunflower, Indian potato, Helianthus giganteus\n5372\tn11979715\t5283\tJerusalem artichoke, girasol, Jerusalem artichoke sunflower, Helianthus tuberosus\n5373\tn12683571\t5284\tsweet scabious, pincushion flower, mournful widow, Scabiosa atropurpurea\n5374\tn12683791\t5284\tfield scabious, Scabiosa arvensis\n5375\tn11901759\t5291\tIceland poppy, arctic poppy, Papaver nudicaule\n5376\tn11908549\t5291\twind poppy, flaming poppy, Stylomecon heterophyllum, Papaver heterophyllum\n5377\tn11901294\t5291\tIceland poppy, Papaver alpinum\n5378\tn11903671\t5291\tcelandine, greater celandine, swallowwort, swallow wort, Chelidonium majus\n5379\tn11901977\t5291\toriental poppy, Papaver orientale\n5380\tn11902389\t5291\topium poppy, Papaver somniferum\n5381\tn11908846\t5291\tcelandine poppy, wood poppy, Stylophorum diphyllum\n5382\tn11901597\t5291\tprickly poppy, Papaver argemone\n5383\tn11905392\t5291\tCalifornia poppy, Eschscholtzia californica\n5384\tn11902200\t5291\tcorn poppy, field poppy, Flanders poppy, Papaver rhoeas\n5385\tn11906917\t5291\tblue poppy, Meconopsis betonicifolia\n5386\tn12044467\t5296\taerides\n5387\tn12052787\t5296\tcoelogyne\n5388\tn12056217\t5296\tlady's slipper, lady-slipper, ladies' slipper, slipper orchid\n5389\tn12075830\t5296\tVenus' slipper, Venus's slipper, Venus's shoe\n5390\tn12055516\t5296\tcymbid, cymbidium\n5391\tn12083113\t5296\tsobralia\n5392\tn12047884\t5296\tspider orchid, Brassia lawrenceana\n5393\tn12048056\t5296\tspider orchid, Brassia verrucosa\n5394\tn12080820\t5296\tPsychopsis papilio, Oncidium papilio\n5395\tn12070381\t5296\tliparis\n5396\tn12061380\t5296\tbutterfly orchid, Encyclia tampensis, Epidendrum tampense\n5397\tn12080395\t5296\tbutterfly orchid\n5398\tn12061614\t5296\tbutterfly orchid, butterfly orchis, Epidendrum venosum, Encyclia venosa\n5399\tn12074408\t5296\toncidium, dancing lady orchid, butterfly plant, butterfly orchid\n5400\tn12070583\t5296\ttwayblade\n5401\tn12071744\t5296\ttwayblade, Listera ovata\n5402\tn12049282\t5296\tgrass pink, Calopogon pulchellum, Calopogon tuberosum\n5403\tn12047345\t5296\tbrassavola\n5404\tn12064389\t5296\tfragrant orchid, Gymnadenia conopsea\n5405\tn12075010\t5296\tfly orchid, Ophrys insectifera, Ophrys muscifera\n5406\tn12052447\t5296\tfrog orchid, Coeloglossum viride\n5407\tn12053405\t5296\tcoral root\n5408\tn12050533\t5296\tcattleya\n5409\tn12077944\t5296\tlesser butterfly orchid, Platanthera bifolia, Habenaria bifolia\n5410\tn12086539\t5296\tvanilla\n5411\tn12064591\t5296\tshort-spurred fragrant orchid, Gymnadenia odoratissima\n5412\tn12058822\t5296\tcommon spotted orchid, Dactylorhiza fuchsii, Dactylorhiza maculata fuchsii\n5413\tn12046028\t5296\tbog rose, wild pink, dragon's mouth, Arethusa bulbosa\n5414\tn12083591\t5296\tladies' tresses, lady's tresses\n5415\tn12073991\t5296\todontoglossum\n5416\tn12043444\t5296\torchis\n5417\tn12086012\t5296\tvanda\n5418\tn12073554\t5296\tpansy orchid\n5419\tn12046815\t5296\tBletilla striata, Bletia striata\n5420\tn12063639\t5296\trattlesnake plantain, helleborine\n5421\tn12058630\t5296\tmarsh orchid\n5422\tn12084890\t5296\tstanhopea\n5423\tn12070016\t5296\tlaelia\n5424\tn12076223\t5296\tphaius\n5425\tn12069679\t5296\tlizard orchid, Himantoglossum hircinum\n5426\tn12048399\t5296\tcaladenia\n5427\tn12049562\t5296\tcalypso, fairy-slipper, Calypso bulbosa\n5428\tn12076577\t5296\tmoth orchid, moth plant\n5429\tn12086192\t5296\tblue orchid, Vanda caerulea\n5430\tn12074867\t5296\tbee orchid, Ophrys apifera\n5431\tn12075299\t5296\tearly spider orchid, Ophrys sphegodes\n5432\tn12072722\t5296\tmasdevallia\n5433\tn12066018\t5296\tbog rein orchid, bog candles, Habenaria dilatata\n5434\tn12084555\t5296\tEuropean ladies' tresses, Spiranthes spiralis\n5435\tn12070712\t5296\tfen orchid, fen orchis, Liparis loeselii\n5436\tn12079963\t5296\tpogonia\n5437\tn12065316\t5296\tfringed orchis, fringed orchid\n5438\tn12059314\t5296\tdendrobium\n5439\tn12085664\t5296\tfly orchid\n5440\tn12050959\t5296\thelleborine\n5441\tn12062468\t5296\thelleborine\n5442\tn12085267\t5296\tstelis\n5443\tn12078172\t5296\tgreater butterfly orchid, Platanthera chlorantha, Habenaria chlorantha\n5444\tn12057211\t5388\tyellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum\n5445\tn12057447\t5388\tlarge yellow lady's slipper, Cypripedium calceolus pubescens\n5446\tn12056758\t5388\tcommon lady's-slipper, showy lady's-slipper, showy lady slipper, Cypripedium reginae, Cypripedium album\n5447\tn12056601\t5388\tmoccasin flower, nerveroot, Cypripedium acaule\n5448\tn12043836\t5416\tbutterfly orchid, butterfly orchis, Orchis papilionaceae\n5449\tn12043673\t5416\tmale orchis, early purple orchid, Orchis mascula\n5450\tn12067193\t5437\tragged orchid, ragged orchis, ragged-fringed orchid, green fringed orchis, Habenaria lacera\n5451\tn12066630\t5437\tpurple-fringed orchid, purple-fringed orchis, Habenaria fimbriata\n5452\tn12062781\t5441\tstream orchid, chatterbox, giant helleborine, Epipactis gigantea\n5453\tn12062626\t5441\tEpipactis helleborine\n5454\tn11808299\t5299\tsweet William, Dianthus barbatus\n5455\tn11808721\t5299\tchina pink, rainbow pink, Dianthus chinensis\n5456\tn11808932\t5299\tJapanese pink, Dianthus chinensis heddewigii\n5457\tn11808468\t5299\tcarnation, clove pink, gillyflower, Dianthus caryophyllus\n5458\tn11809594\t5299\tcottage pink, grass pink, Dianthus plumarius\n5459\tn11809094\t5299\tmaiden pink, Dianthus deltoides\n5460\tn11727358\t5305\tmeeting house, honeysuckle, Aquilegia canadensis\n5461\tn11727738\t5305\tgranny's bonnets, Aquilegia vulgaris\n5462\tn11727540\t5305\tblue columbine, Aquilegia caerulea, Aquilegia scopulorum calcarea\n5463\tn11816649\t5313\tfire pink, Silene virginica\n5464\tn11816336\t5313\twhite campion, evening lychnis, white cockle, bladder campion, Silene latifolia, Lychnis alba\n5465\tn11816829\t5313\tbladder campion, Silene uniflora, Silene vulgaris\n5466\tn11816121\t5313\tred campion, red bird's eye, Silene dioica, Lychnis dioica\n5467\tn11815918\t5313\twild pink, Silene caroliniana\n5468\tn11815721\t5313\tmoss campion, Silene acaulis\n5469\tn12362274\t5318\twax begonia, Begonia semperflorens\n5470\tn12362668\t5318\thybrid tuberous begonia, Begonia tuberhybrida\n5471\tn12361946\t5318\trex begonia, king begonia, painted-leaf begonia, beefsteak geranium, Begonia rex\n5472\tn11950877\t5326\tcrown daisy, Chrysanthemum coronarium\n5473\tn11950686\t5326\tcorn marigold, field marigold, Chrysanthemum segetum\n5474\tn11961100\t5326\tflorist's chrysanthemum, florists' chrysanthemum, mum, Dendranthema grandifloruom, Chrysanthemum morifolium\n5475\tn12020736\t5338\tAfrican marigold, big marigold, Aztec marigold, Tagetes erecta\n5476\tn12020941\t5338\tFrench marigold, Tagetes patula\n5477\tn11934616\t5339\tNew England aster, Aster novae-angliae\n5478\tn11933546\t5339\tbushy aster, Aster dumosus\n5479\tn11934807\t5339\tMichaelmas daisy, New York aster, Aster novi-belgii\n5480\tn12879963\t5241\tIndian paintbrush, painted cup\n5481\tn12015959\t5241\tgoldenrod\n5482\tn11836722\t5241\tsand verbena\n5483\tn11860555\t5241\tbitterroot, Lewisia rediviva\n5484\tn12258885\t5241\tIndian pipe, waxflower, Monotropa uniflora\n5485\tn11980682\t5241\theliopsis, oxeye\n5486\tn12016567\t5241\tmeadow goldenrod, Canadian goldenrod, Solidago canadensis\n5487\tn11737534\t5241\tpasqueflower, pasque flower\n5488\tn11965627\t5241\tfleabane\n5489\tn11991263\t5241\tblazing star, button snakeroot, gayfeather, gay-feather, snakeroot\n5490\tn11989393\t5241\tedelweiss, Leontopodium alpinum\n5491\tn12006766\t5241\tconeflower\n5492\tn12887293\t5241\tballoon flower, scented penstemon, Penstemon palmeri\n5493\tn12937130\t5241\twild carrot, Queen Anne's lace, Daucus carota\n5494\tn12291959\t5241\tprairie gentian, tulip gentian, bluebell, Eustoma grandiflorum\n5495\tn11972291\t5241\tdesert sunflower, Gerea canescens\n5496\tn11927215\t5241\tArnica montana\n5497\tn12012111\t5241\tbutterweed, ragwort, Senecio glabellus\n5498\tn11970586\t5241\tgaillardia\n5499\tn11963932\t5241\tbrittlebush, brittle bush, incienso, Encelia farinosa\n5500\tn11966215\t5488\torange daisy, orange fleabane, Erigeron aurantiacus\n5501\tn11966083\t5488\tdaisy fleabane, Erigeron annuus\n5502\tn12006930\t5491\tMexican hat, Ratibida columnaris\n5503\tn12007196\t5491\tlong-head coneflower, prairie coneflower, Ratibida columnifera\n5504\tn11600372\t5237\tcycad\n5505\tn11599324\t5237\twelwitschia, Welwitschia mirabilis\n5506\tn11603246\t5504\tencephalartos\n5507\tn11602873\t5504\tdioon\n5508\tn11603835\t5504\tmacrozamia\n5509\tn11601333\t5504\tfalse sago, fern palm, Cycas circinalis\n5510\tn12484784\t5190\twater shamrock, buckbean, bogbean, bog myrtle, marsh trefoil, Menyanthes trifoliata\n5511\tn12610328\t5190\twater hyacinth, water orchid, Eichhornia crassipes, Eichhornia spesiosa\n5512\tn11791569\t5190\tpistia, water lettuce, water cabbage, Pistia stratiotes, Pistia stratoites\n5513\tn11714853\t5190\twater lily\n5514\tn13122364\t5190\tmarsh plant, bog plant, swamp plant\n5515\tn11715430\t5513\twater nymph, fragrant water lily, pond lily, Nymphaea odorata\n5516\tn11715678\t5513\tEuropean white lily, Nymphaea alba\n5517\tn12801781\t5514\tbog star, Parnassia palustris\n5518\tn11728099\t5514\tmarsh marigold, kingcup, meadow bright, May blob, cowslip, water dragon, Caltha palustris\n5519\tn11786131\t5514\twild calla, water arum, Calla palustris\n5520\tn12150028\t5514\tsedge\n5521\tn12801520\t5514\tparnassia, grass-of-Parnassus\n5522\tn11789066\t5514\tskunk cabbage, Lysichiton americanum\n5523\tn11792742\t5514\tskunk cabbage, polecat weed, foetid pothos, Symplocarpus foetidus\n5524\tn12152532\t5520\tcotton grass, cotton rush\n5525\tn12151615\t5520\tnutgrass, nut grass, nutsedge, nut sedge, Cyperus rotundus\n5526\tn12152722\t5520\tcommon cotton grass, Eriophorum angustifolium\n5527\tn11733548\t5191\twinter aconite, Eranthis hyemalis\n5528\tn11720353\t5191\tbuttercup, butterflower, butter-flower, crowfoot, goldcup, kingcup\n5529\tn12810595\t5191\tphlox\n5530\tn12342299\t5191\twillowherb\n5531\tn13238375\t5191\tstapelia, carrion flower, starfish flower\n5532\tn12867826\t5191\tskullcap, helmetflower\n5533\tn12665048\t5191\tbedstraw\n5534\tn11973341\t5191\tgumweed, gum plant, tarweed, rosinweed\n5535\tn12312728\t5191\tkangaroo paw, kangaroo's paw, kangaroo's-foot, kangaroo-foot plant, Australian sword lily, Anigozanthus manglesii\n5536\tn11818069\t5191\tcommon chickweed, Stellaria media\n5537\tn12848499\t5191\thyssop, Hyssopus officinalis\n5538\tn11779300\t5191\tarum, aroid\n5539\tn12822955\t5191\tcommon comfrey, boneset, Symphytum officinale\n5540\tn12816508\t5191\tborage, tailwort, Borago officinalis\n5541\tn12719684\t5191\tnasturtium\n5542\tn12350758\t5191\tcanna\n5543\tn12095020\t5191\tloosestrife\n5544\tn11861641\t5191\ttoad lily, Montia chamissoi\n5545\tn11962667\t5191\tglobe thistle\n5546\tn12870891\t5191\twild thyme, creeping thyme, Thymus serpyllum\n5547\tn12939282\t5191\tcommon fennel, Foeniculum vulgare\n5548\tn12812478\t5191\tbear's breech, bear's breeches, sea holly, Acanthus mollis\n5549\tn12031927\t5191\tironweed, vernonia\n5550\tn12023108\t5191\tfeverfew, Tanacetum parthenium, Chrysanthemum parthenium\n5551\tn12858150\t5191\tmonarda, wild bergamot\n5552\tn12861892\t5191\tphysostegia\n5553\tn12841007\t5191\tcreeping bugle, Ajuga reptans\n5554\tn12212361\t5191\tvegetable\n5555\tn12869061\t5191\thedge nettle, Stachys palustris\n5556\tn12906214\t5191\tplum tomato\n5557\tn12910285\t5191\tground cherry, husk tomato\n5558\tn12486574\t5191\tflax\n5559\tn12090890\t5191\tprimrose, primula\n5560\tn12702948\t5191\toxalis, sorrel, wood sorrel\n5561\tn12437513\t5191\tkniphofia, tritoma, flame flower, flame-flower, flameflower\n5562\tn11968931\t5191\tboneset, agueweed, thoroughwort, Eupatorium perfoliatum\n5563\tn11817914\t5191\tchickweed\n5564\tn11772408\t5191\tperiwinkle, rose periwinkle, Madagascar periwinkle, old maid, Cape periwinkle, red periwinkle, cayenne jasmine, Catharanthus roseus, Vinca rosea\n5565\tn12932173\t5191\tgarden angelica, archangel, Angelica Archangelica\n5566\tn12817694\t5191\tbugloss, alkanet, Anchusa officinalis\n5567\tn11910460\t5191\tDutchman's breeches, Dicentra cucullaria\n5568\tn12603449\t5191\tpie plant, garden rhubarb, Rheum cultorum, Rheum rhabarbarum, Rheum rhaponticum\n5569\tn12939874\t5191\tcow parsnip, hogweed, Heracleum sphondylium\n5570\tn12002428\t5191\tbutterbur, bog rhubarb, Petasites hybridus, Petasites vulgaris\n5571\tn12015525\t5191\tmilk thistle, lady's thistle, Our Lady's mild thistle, holy thistle, blessed thistle, Silybum marianum\n5572\tn11807108\t5191\tmouse-ear chickweed, mouse eared chickweed, mouse ear, clammy chickweed, chickweed\n5573\tn12835331\t5191\tyellow bells, California yellow bells, whispering bells, Emmanthe penduliflora\n5574\tn12168565\t5191\tlobelia\n5575\tn12840362\t5191\tanise hyssop, Agastache foeniculum\n5576\tn12352287\t5191\tbanana, banana tree\n5577\tn11969166\t5191\tJoe-Pye weed, purple boneset, trumpet weed, marsh milkweed, Eupatorium purpureum\n5578\tn11968704\t5191\tJoe-Pye weed, spotted Joe-Pye weed, Eupatorium maculatum\n5579\tn12821895\t5191\tgarden forget-me-not, Myosotis sylvatica\n5580\tn12344283\t5191\tevening primrose\n5581\tn11866248\t5191\tspiderflower, cleome\n5582\tn11995092\t5191\tsweet false chamomile, wild chamomile, German chamomile, Matricaria recutita, Matricaria chamomilla\n5583\tn12622875\t5191\tagrimonia, agrimony\n5584\tn11735053\t5191\thepatica, liverleaf\n5585\tn12548280\t5191\tmedic, medick, trefoil\n5586\tn13150894\t5191\tpeperomia\n5587\tn12685431\t5191\tgeranium\n5588\tn12387633\t5191\tviola\n5589\tn12171966\t5191\tokra, gumbo, okra plant, lady's-finger, Abelmoschus esculentus, Hibiscus esculentus\n5590\tn12796022\t5191\tbergenia\n5591\tn12934036\t5191\tastrantia, masterwort\n5592\tn12443323\t5191\taspidistra, cast-iron plant, bar-room plant, Aspidistra elatio\n5593\tn12870535\t5191\tthyme\n5594\tn12682668\t5191\tcommon teasel, Dipsacus fullonum\n5595\tn12778605\t5191\tcarnivorous plant\n5596\tn12623077\t5191\tharvest-lice, Agrimonia eupatoria\n5597\tn12836212\t5191\tnemophila\n5598\tn11982115\t5191\thawkweed\n5599\tn12003696\t5191\thawkweed\n5600\tn12005656\t5191\tfleabane, feabane mullet, Pulicaria dysenterica\n5601\tn12098403\t5191\tplumbago\n5602\tn12606545\t5191\tspiderwort, dayflower\n5603\tn11902709\t5191\tprickly poppy, argemone, white thistle, devil's fig\n5604\tn12882945\t5191\tcommon foxglove, fairy bell, fingerflower, finger-flower, fingerroot, finger-root, Digitalis purpurea\n5605\tn12785889\t5191\tstonecrop\n5606\tn11986511\t5191\tgarden lettuce, common lettuce, Lactuca sativa\n5607\tn12682411\t5191\tteasel, teazel, teasle\n5608\tn12469517\t5191\therb Paris, Paris quadrifolia\n5609\tn12029635\t5191\tcoltsfoot, Tussilago farfara\n5610\tn12860365\t5191\tbasil\n5611\tn12552309\t5191\tsainfoin, sanfoin, holy clover, esparcet, Onobrychis viciifolia, Onobrychis viciaefolia\n5612\tn11977303\t5191\tsneezeweed\n5613\tn11825351\t5191\tcockscomb, common cockscomb, Celosia cristata, Celosia argentea cristata\n5614\tn12836337\t5191\tbaby blue-eyes, Nemophila menziesii\n5615\tn12844939\t5191\tcoleus, flame nettle\n5616\tn12925179\t5191\tspurge nettle, tread-softly, devil nettle, pica-pica, Cnidoscolus urens, Jatropha urens, Jatropha stimulosus\n5617\tn11926833\t5191\tarnica\n5618\tn12604228\t5191\tsour dock, garden sorrel, Rumex acetosa\n5619\tn11752578\t5191\tclover, trefoil\n5620\tn12855042\t5191\tmint\n5621\tn11956850\t5191\tcoreopsis, tickseed, tickweed, tick-weed\n5622\tn12092262\t5191\tpimpernel\n5623\tn12506991\t5191\tkidney vetch, Anthyllis vulneraria\n5624\tn12882779\t5191\tfoxglove, digitalis\n5625\tn11747468\t5191\tlegume, leguminous plant\n5626\tn12385429\t5191\treseda\n5627\tn12822115\t5191\tforget-me-not, mouse ear, Myosotis scorpiodes\n5628\tn12821505\t5191\tVirginia bluebell, Virginia cowslip, Mertensia virginica\n5629\tn12607456\t5191\tpineapple, pineapple plant, Ananas comosus\n5630\tn12819728\t5191\tblueweed, blue devil, blue thistle, viper's bugloss, Echium vulgare\n5631\tn12817464\t5191\tanchusa\n5632\tn12811027\t5191\tmoss pink, mountain phlox, moss phlox, dwarf phlox, Phlox subulata\n5633\tn12024445\t5191\tcommon dandelion, Taraxacum ruderalia, Taraxacum officinale\n5634\tn12573474\t5191\tfalse lupine, golden pea, yellow pea, Thermopsis macrophylla\n5635\tn12864545\t5191\tsage, salvia\n5636\tn11949402\t5191\tchamomile, camomile, Chamaemelum nobilis, Anthemis nobilis\n5637\tn11868814\t5191\tcrucifer, cruciferous plant\n5638\tn11953038\t5191\tchicory, succory, chicory plant, Cichorium intybus\n5639\tn12599435\t5191\tbroad-leaved plantain, common plantain, white-man's foot, whiteman's foot, cart-track plant, Plantago major\n5640\tn12840749\t5191\tbugle, bugleweed\n5641\tn13233727\t5191\tmilkweed, silkweed\n5642\tn12342498\t5191\tfireweed, giant willowherb, rosebay willowherb, wickup, Epilobium angustifolium\n5643\tn12795555\t5191\tspirea, spiraea, Astilbe japonica\n5644\tn11984542\t5191\tinula\n5645\tn12847008\t5191\themp nettle, dead nettle, Galeopsis tetrahit\n5646\tn12719944\t5191\tgarden nasturtium, Indian cress, Tropaeolum majus\n5647\tn11855274\t5191\tpokeweed\n5648\tn12095647\t5191\tmoneywort, creeping Jenny, creeping Charlie, Lysimachia nummularia\n5649\tn12441183\t5191\tasparagus, edible asparagus, Asparagus officinales\n5650\tn12942572\t5191\tItalian parsley, flat-leaf parsley, Petroselinum crispum neapolitanum\n5651\tn12602980\t5191\trhubarb, rhubarb plant\n5652\tn12684379\t5191\tjewelweed, lady's earrings, orange balsam, celandine, touch-me-not, Impatiens capensis\n5653\tn12441390\t5191\tasparagus fern, Asparagus setaceous, Asparagus plumosus\n5654\tn12785724\t5191\tsedum\n5655\tn11916696\t5191\tyarrow, milfoil, Achillea millefolium\n5656\tn12574320\t5191\tbird's foot trefoil, Trigonella ornithopodioides\n5657\tn12092417\t5191\tscarlet pimpernel, red pimpernel, poor man's weatherglass, Anagallis arvensis\n5658\tn12036939\t5191\tcampanula, bellflower\n5659\tn11700058\t5191\tmayapple, May apple, wild mandrake, Podophyllum peltatum\n5660\tn12845413\t5191\tpainted nettle, Joseph's coat, Coleus blumei, Solenostemon blumei, Solenostemon scutellarioides\n5661\tn11824146\t5191\tpigweed, Amaranthus hypochondriacus\n5662\tn11910271\t5191\tbleeding heart, lyreflower, lyre-flower, Dicentra spectabilis\n5663\tn11916467\t5191\tachillea\n5664\tn11807525\t5191\tsnow-in-summer, love-in-a-mist, Cerastium tomentosum\n5665\tn12101870\t5191\tgramineous plant, graminaceous plant\n5666\tn11939180\t5191\tbalsamroot\n5667\tn12353754\t5191\tAbyssinian banana, Ethiopian banana, Ensete ventricosum, Musa ensete\n5668\tn12104501\t5191\therbage, pasturage\n5669\tn12794985\t5191\tastilbe\n5670\tn12355760\t5191\tginger\n5671\tn12793015\t5191\tsaxifrage, breakstone, rockfoil\n5672\tn12932966\t5191\tcow parsley, wild chervil, Anthriscus sylvestris\n5673\tn12931542\t5191\tdill, Anethum graveolens\n5674\tn12889713\t5191\tcommon mullein, great mullein, Aaron's rod, flannel mullein, woolly mullein, torch, Verbascum thapsus\n5675\tn12849061\t5191\tdead nettle\n5676\tn11722466\t5528\tcreeping buttercup, creeping crowfoot, Ranunculus repens\n5677\tn11720643\t5528\tmeadow buttercup, tall buttercup, tall crowfoot, tall field buttercup, Ranunculus acris\n5678\tn12665857\t5533\tyellow bedstraw, yellow cleavers, Our Lady's bedstraw, Galium verum\n5679\tn12665271\t5533\tsweet woodruff, waldmeister, woodruff, fragrant bedstraw, Galium odoratum, Asperula odorata\n5680\tn11785668\t5538\tcaladium\n5681\tn11780148\t5538\tcuckoopint, lords-and-ladies, jack-in-the-pulpit, Arum maculatum\n5682\tn11784497\t5538\tjack-in-the-pulpit, Indian turnip, wake-robin, Arisaema triphyllum, Arisaema atrorubens\n5683\tn11782036\t5538\talocasia, elephant's ear, elephant ear\n5684\tn11786539\t5538\ttaro, taro plant, dalo, dasheen, Colocasia esculenta\n5685\tn11782761\t5538\tamorphophallus\n5686\tn12858871\t5551\tbee balm, beebalm, Monarda fistulosa\n5687\tn12858397\t5551\tbee balm, beebalm, bergamot mint, oswego tea, Monarda didyma\n5688\tn11959632\t5554\tartichoke, globe artichoke, artichoke plant, Cynara scolymus\n5689\tn11959862\t5554\tcardoon, Cynara cardunculus\n5690\tn12911673\t5557\ttomatillo, miltomate, purple ground cherry, jamberry, Physalis philadelphica\n5691\tn12911440\t5557\ttomatillo, jamberry, Mexican husk tomato, Physalis ixocarpa\n5692\tn12091213\t5559\tEnglish primrose, Primula vulgaris\n5693\tn12091550\t5559\toxlip, paigle, Primula elatior\n5694\tn12091377\t5559\tcowslip, paigle, Primula veris\n5695\tn12091953\t5559\tpolyanthus, Primula polyantha\n5696\tn12703557\t5560\tcreeping oxalis, creeping wood sorrel, Oxalis corniculata\n5697\tn12703190\t5560\tcommon wood sorrel, cuckoo bread, shamrock, Oxalis acetosella\n5698\tn12703383\t5560\tBermuda buttercup, English-weed, Oxalis pes-caprae, Oxalis cernua\n5699\tn12437930\t5561\tred-hot poker, Kniphofia praecox\n5700\tn12437769\t5561\tpoker plant, Kniphofia uvaria\n5701\tn12352639\t5576\tdwarf banana, Musa acuminata\n5702\tn12352844\t5576\tJapanese banana, Musa basjoo\n5703\tn12352990\t5576\tplantain, plantain tree, Musa paradisiaca\n5704\tn12344700\t5580\tsundrops, Oenothera fruticosa\n5705\tn12344483\t5580\tcommon evening primrose, German rampion, Oenothera biennis\n5706\tn12687957\t5587\tivy geranium, ivy-leaved geranium, hanging geranium, Pelargonium peltatum\n5707\tn12685831\t5587\tcranesbill, crane's bill\n5708\tn12687698\t5587\tfish geranium, bedding geranium, zonal pelargonium, Pelargonium hortorum\n5709\tn12687462\t5587\trose geranium, sweet-scented geranium, Pelargonium graveolens\n5710\tn12686274\t5707\tmeadow cranesbill, Geranium pratense\n5711\tn12686077\t5707\twild geranium, spotted cranesbill, Geranium maculatum\n5712\tn12687044\t5707\tdove's foot geranium, Geranium molle\n5713\tn12686676\t5707\therb robert, herbs robert, herb roberts, Geranium robertianum\n5714\tn12388989\t5588\thorned violet, tufted pansy, Viola cornuta\n5715\tn12388143\t5588\tfield pansy, heartsease, Viola arvensis\n5716\tn12387839\t5588\tviolet\n5717\tn12388858\t5716\tdog violet, heath violet, Viola canina\n5718\tn12390099\t5716\tpale violet, striped violet, cream violet, Viola striata\n5719\tn12389501\t5716\tbird's-foot violet, pansy violet, Johnny-jump-up, wood violet, Viola pedata\n5720\tn12390314\t5716\thedge violet, wood violet, Viola sylvatica, Viola reichenbachiana\n5721\tn12782915\t5595\tVenus's flytrap, Venus's flytraps, Dionaea muscipula\n5722\tn12779603\t5595\tpitcher plant\n5723\tn12781940\t5595\ttropical pitcher plant\n5724\tn12782530\t5595\tsundew, sundew plant, daily dew\n5725\tn11753700\t5619\twhite clover, dutch clover, shamrock, Trifolium repens\n5726\tn11753355\t5619\tred clover, purple clover, Trifolium pratense\n5727\tn11753143\t5619\tcrimson clover, Italian clover, Trifolium incarnatum\n5728\tn12856680\t5620\tpennyroyal, Mentha pulegium\n5729\tn12855494\t5620\twater-mint, water mint, Mentha aquatica\n5730\tn12540250\t5625\tbeach pea, sea pea, Lathyrus maritimus, Lathyrus japonicus\n5731\tn12515711\t5625\tchickpea, chickpea plant, Egyptian pea, Cicer arietinum\n5732\tn12575322\t5625\tvetch\n5733\tn12575812\t5625\ttufted vetch, bird vetch, Calnada pea, Vicia cracca\n5734\tn12556307\t5625\tbean, bean plant\n5735\tn12539306\t5625\twild pea\n5736\tn12557681\t5734\tscarlet runner, scarlet runner bean, Dutch case-knife bean, runner bean, Phaseolus coccineus, Phaseolus multiflorus\n5737\tn12558425\t5734\tsieva bean, butter bean, butter-bean plant, lima bean, Phaseolus lunatus\n5738\tn12866162\t5635\tclary, Salvia sclarea\n5739\tn12865824\t5635\tcommon sage, ramona, Salvia officinalis\n5740\tn12865037\t5635\tclary sage, Salvia clarea\n5741\tn12866635\t5635\twild sage, wild clary, vervain sage, Salvia verbenaca\n5742\tn12865562\t5635\tpurple sage, chaparral sage, Salvia leucophylla\n5743\tn12866002\t5635\tmeadow clary, Salvia pratensis\n5744\tn11879054\t5637\tbok choy, bok choi, pakchoi, pak choi, Chinese white cabbage, Brassica rapa chinensis\n5745\tn11878283\t5637\tmustard\n5746\tn11875691\t5637\tcabbage, cultivated cabbage, Brassica oleracea\n5747\tn11876634\t5637\tcauliflower, Brassica oleracea botrytis\n5748\tn11877193\t5637\tcollard\n5749\tn11876803\t5637\tbroccoli, Brassica oleracea italica\n5750\tn11876432\t5637\tbrussels sprout, Brassica oleracea gemmifera\n5751\tn11870418\t5637\tgarlic mustard, hedge garlic, sauce-alone, jack-by-the-hedge, Alliaria officinalis\n5752\tn11875938\t5637\thead cabbage, head cabbage plant, Brassica oleracea capitata\n5753\tn11894327\t5637\tradish plant, radish\n5754\tn11881742\t5637\tbittercress, bitter cress\n5755\tn11870747\t5637\talyssum, madwort\n5756\tn11896722\t5745\tfield mustard, wild mustard, charlock, chadlock, Brassica kaber, Sinapis arvensis\n5757\tn11879722\t5745\trape, colza, Brassica napus\n5758\tn11895092\t5753\tradish, daikon, Japanese radish, Raphanus sativus longipinnatus\n5759\tn11894770\t5753\tradish, Raphanus sativus\n5760\tn11882074\t5754\tlady's smock, cuckooflower, cuckoo flower, meadow cress, Cardamine pratensis\n5761\tn11882426\t5754\tcrinkleroot, crinkle-root, crinkle root, pepper root, toothwort, Cardamine diphylla, Dentaria diphylla\n5762\tn13235503\t5641\tbutterfly weed, orange milkweed, chigger flower, chiggerflower, pleurisy root, tuber root, Indian paintbrush, Asclepias tuberosa\n5763\tn13234678\t5641\tswamp milkweed, Asclepias incarnata\n5764\tn12039317\t5658\ttussock bellflower, spreading bellflower, Campanula carpatica\n5765\tn12037691\t5658\tCanterbury bell, cup and saucer, Campanula medium\n5766\tn12038406\t5658\tclustered bellflower, Campanula glomerata\n5767\tn12038585\t5658\tpeach bells, peach bell, willow bell, Campanula persicifolia\n5768\tn12148757\t5665\tgiant bamboo, kyo-chiku, Dendrocalamus giganteus\n5769\tn12102133\t5665\tgrass\n5770\tn12121610\t5769\tfescue, fescue grass, meadow fescue, Festuca elatior\n5771\tn12139575\t5769\tcordgrass, cord grass\n5772\tn12113195\t5769\tfeather reed grass, feathertop, Calamagrostis acutiflora\n5773\tn12112918\t5769\treed grass\n5774\tn12116429\t5769\torchard grass, cocksfoot, cockspur, Dactylis glomerata\n5775\tn12141495\t5769\tcereal, cereal grass\n5776\tn12133462\t5769\tbroom beard grass, prairie grass, wire grass, Andropogon scoparius, Schizachyrium scoparium\n5777\tn12108871\t5769\ttall oat grass, tall meadow grass, evergreen grass, false oat, French rye, Arrhenatherum elatius\n5778\tn12104238\t5769\ttallgrass, tall-grass\n5779\tn12141167\t5769\tSt. Augustine grass, Stenotaphrum secundatum, buffalo grass\n5780\tn12115180\t5769\tpampas grass, Cortaderia selloana\n5781\tn12112008\t5769\tgrama, grama grass, gramma, gramma grass\n5782\tn12128071\t5769\tdallisgrass, dallis grass, paspalum, Paspalum dilatatum\n5783\tn12146311\t5769\tzoysia\n5784\tn12124627\t5769\trye grass, ryegrass\n5785\tn12110778\t5769\tbrome, bromegrass\n5786\tn12129134\t5769\tfountain grass, Pennisetum ruppelii, Pennisetum setaceum\n5787\tn12134025\t5775\trye, Secale cereale\n5788\tn12145477\t5775\tpopcorn, Zea mays everta\n5789\tn12142085\t5775\twheat\n5790\tn12135898\t5775\tmillet\n5791\tn12137120\t5790\tsorghum\n5792\tn12127030\t5790\tpanic grass\n5793\tn12127768\t5792\tgoose grass, Texas millet, Panicum Texanum\n5794\tn12127460\t5792\tswitch grass, Panicum virgatum\n5795\tn12356023\t5670\tcommon ginger, Canton ginger, stem ginger, Zingiber officinale\n5796\tn12357485\t5670\tshellflower, shall-flower, shell ginger, Alpinia Zerumbet, Alpinia speciosa, Languas speciosa\n5797\tn12793494\t5671\tmeadow saxifrage, fair-maids-of-France, Saxifraga granulata\n5798\tn12794135\t5671\tpurple saxifrage, Saxifraga oppositifolia\n5799\tn12849279\t5675\twhite dead nettle, Lamium album\n5800\tn12849416\t5675\thenbit, Lamium amplexicaule\n5801\tn12847374\t5192\tground ivy, alehoof, field balm, gill-over-the-ground, runaway robin, Glechoma hederaceae, Nepeta hederaceae\n5802\tn12517642\t5192\tblue pea, butterfly pea, Clitoria turnatea\n5803\tn11731659\t5192\tpurple clematis, purple virgin's bower, mountain clematis, Clematis verticillaris\n5804\tn12813189\t5192\tblack-eyed Susan, black-eyed Susan vine, Thunbergia alata\n5805\tn11838916\t5192\tbougainvillea\n5806\tn12517445\t5192\tbutterfly pea, Clitoria mariana\n5807\tn12513172\t5192\tbutterfly pea, Centrosema virginianum\n5808\tn12823859\t5192\tbindweed\n5809\tn12566954\t5192\tkudzu, kudzu vine, Pueraria lobata\n5810\tn13148208\t5192\tBoston ivy, Japanese ivy, Parthenocissus tricuspidata\n5811\tn12158798\t5192\tsquash, squash vine\n5812\tn12485981\t5192\tyellow jasmine, yellow jessamine, Carolina jasmine, evening trumpet flower, Gelsemium sempervirens\n5813\tn13237188\t5192\twax plant, Hoya carnosa\n5814\tn12826516\t5192\tmorning glory\n5815\tn13120211\t5192\tliana\n5816\tn12580654\t5192\tJapanese wistaria, Wisteria floribunda\n5817\tn11769621\t5192\tallamanda\n5818\tn12824053\t5192\tfield bindweed, wild morning-glory, Convolvulus arvensis\n5819\tn11769803\t5192\tcommon allamanda, golden trumpet, Allamanda cathartica\n5820\tn12383402\t5192\tpassionflower, passionflower vine\n5821\tn12823717\t5192\tconvolvulus\n5822\tn12157769\t5192\tgourd, gourd vine\n5823\tn13144794\t5192\tgrape, grapevine, grape vine\n5824\tn12371439\t5192\tChinese gooseberry, kiwi, kiwi vine, Actinidia chinensis, Actinidia deliciosa\n5825\tn12159055\t5811\tsummer squash, summer squash vine, Cucurbita pepo melopepo\n5826\tn12160490\t5811\twinter squash, winter squash plant\n5827\tn12158443\t5811\tpumpkin, pumpkin vine, autumn pumpkin, Cucurbita pepo\n5828\tn12160303\t5825\tspaghetti squash\n5829\tn12159388\t5825\tyellow squash\n5830\tn12160857\t5826\tacorn squash\n5831\tn12161969\t5826\twinter crookneck, winter crookneck squash, Cucurbita moschata\n5832\tn12827270\t5814\tcypress vine, star-glory, Indian pink, Ipomoea quamoclit, Quamoclit pennata\n5833\tn12828791\t5814\tJapanese morning glory, Ipomoea nil\n5834\tn12827537\t5814\tmoonflower, belle de nuit, Ipomoea alba\n5835\tn11788727\t5815\tgolden pothos, pothos, ivy arum, Epipremnum aureum, Scindapsus aureus\n5836\tn11789589\t5815\tceriman, Monstera deliciosa\n5837\tn12571781\t5815\tjade vine, emerald creeper, Strongylodon macrobotrys\n5838\tn11792029\t5815\tpothos\n5839\tn12384839\t5820\tlove-in-a-mist, running pop, wild water lemon, Passiflora foetida\n5840\tn12384227\t5820\tmaypop, Passiflora incarnata\n5841\tn12384037\t5820\tgranadilla, giant granadilla, Passiflora quadrangularis\n5842\tn12164363\t5822\tsweet melon, muskmelon, sweet melon vine, Cucumis melo\n5843\tn12166128\t5822\tbottle gourd, calabash, Lagenaria siceraria\n5844\tn12165170\t5842\tnet melon, netted melon, nutmeg melon, Cucumis melo reticulatus\n5845\tn12164881\t5842\twinter melon, Persian melon, honeydew melon, winter melon vine, Cucumis melo inodorus\n5846\tn12164656\t5842\tcantaloupe, cantaloup, cantaloupe vine, cantaloup vine, Cucumis melo cantalupensis\n5847\tn13146583\t5823\tSauvignon grape\n5848\tn13145040\t5823\tfox grape, Vitis labrusca\n5849\tn12509476\t5193\twild indigo, false indigo\n5850\tn13112664\t5193\tshrub, bush\n5851\tn13104059\t5193\ttree\n5852\tn12655869\t5193\traspberry, raspberry bush\n5853\tn12546183\t5193\tlupine, lupin\n5854\tn12671651\t5850\tabelia\n5855\tn12215579\t5850\tbanksia\n5856\tn12901724\t5850\tbird pepper, Capsicum frutescens baccatum, Capsicum baccatum\n5857\tn12938193\t5850\tsea holly, sea holm, sea eryngium, Eryngium maritimum\n5858\tn12680864\t5850\tguelder rose, European cranberrybush, European cranberry bush, crampbark, cranberry tree, Viburnum opulus\n5859\tn12329260\t5850\tcrape myrtle, crepe myrtle, crepe flower, Lagerstroemia indica\n5860\tn12924623\t5850\tcastor-oil plant, castor bean plant, palma christi, palma christ, Ricinus communis\n5861\tn12659356\t5850\tspirea, spiraea\n5862\tn12788201\t5850\thydrangea\n5863\tn12343480\t5850\tfuchsia\n5864\tn13142504\t5850\tredberry, red-berry, Rhamnus croceus\n5865\tn11830906\t5850\tsaltbush\n5866\tn12504783\t5850\tfalse indigo, bastard indigo, Amorpha fruticosa\n5867\tn12659539\t5850\tbridal wreath, bridal-wreath, Saint Peter's wreath, St. Peter's wreath, Spiraea prunifolia\n5868\tn12214789\t5850\tprotea\n5869\tn11699442\t5850\tOregon grape, Oregon holly grape, hollygrape, mountain grape, holly-leaves barberry, Mahonia aquifolium\n5870\tn12217453\t5850\tgrevillea\n5871\tn12574866\t5850\tgorse, furze, whin, Irish gorse, Ulex europaeus\n5872\tn12374418\t5850\trockrose, rock rose\n5873\tn12249542\t5850\tcowberry, mountain cranberry, lingonberry, lingenberry, lingberry, foxberry, Vaccinium vitis-idaea\n5874\tn13118707\t5850\tsubshrub, suffrutex\n5875\tn12215022\t5850\thoneypot, king protea, Protea cynaroides\n5876\tn12342852\t5850\tCalifornia fuchsia, humming bird's trumpet, Epilobium canum canum, Zauschneria californica\n5877\tn12762896\t5850\tsumac, sumach, shumac\n5878\tn12306717\t5850\tjasmine\n5879\tn11769176\t5850\timpala lily, mock azalia, desert rose, kudu lily, Adenium obesum, Adenium multiflorum\n5880\tn12805146\t5850\tcurrant, currant bush\n5881\tn12519089\t5850\taxseed, crown vetch, Coronilla varia\n5882\tn11754893\t5850\tmimosa\n5883\tn12772908\t5850\tsouthern buckthorn, shittimwood, shittim, mock orange, Bumelia lycioides\n5884\tn12624381\t5850\tflowering quince\n5885\tn12482031\t5850\tyucca\n5886\tn12243109\t5850\tpurple heather, Brewer's mountain heather, Phyllodoce breweri\n5887\tn12223764\t5850\twaratah, Telopea speciosissima\n5888\tn12170585\t5850\tmallow\n5889\tn12230794\t5850\tstrawberry tree, Irish strawberry, Arbutus unedo\n5890\tn12791329\t5850\tmock orange, syringa, Philadelphus coronarius\n5891\tn12674120\t5850\thoneysuckle\n5892\tn12917901\t5850\tspurge\n5893\tn12237486\t5850\tkalmia\n5894\tn12185859\t5850\tbush hibiscus, Radyera farragei, Hibiscus farragei\n5895\tn12681893\t5850\tweigela, Weigela florida\n5896\tn12905412\t5850\tChristmasberry, Christmas berry, Lycium carolinianum\n5897\tn12899537\t5850\tangel's trumpet, maikoa, Brugmansia arborea, Datura arborea\n5898\tn12899752\t5850\tangel's trumpet, Brugmansia suaveolens, Datura suaveolens\n5899\tn12806015\t5850\tgooseberry, gooseberry bush, Ribes uva-crispa, Ribes grossularia\n5900\tn12011620\t5850\tdusty miller, Senecio cineraria, Cineraria maritima\n5901\tn12922763\t5850\tcroton, Croton tiglium\n5902\tn12651229\t5850\tPyracantha, pyracanth, fire thorn, firethorn\n5903\tn12303083\t5850\tforsythia\n5904\tn11928352\t5850\tartemisia\n5905\tn11926365\t5850\tsilversword, Argyroxiphium sandwicense\n5906\tn12223569\t5850\twaratah, Telopea Oreades\n5907\tn12791064\t5850\tphiladelphus\n5908\tn12311579\t5850\tcommon lilac, Syringa vulgaris\n5909\tn11834654\t5850\tsaltwort, barilla, glasswort, kali, kelpwort, Salsola kali, Salsola soda\n5910\tn11760785\t5850\tcalliandra\n5911\tn12749679\t5850\twahoo, burning bush, Euonymus atropurpureus\n5912\tn12489815\t5850\tbird of paradise, poinciana, Caesalpinia gilliesii, Poinciana gilliesii\n5913\tn12666965\t5850\tcape jasmine, cape jessamine, Gardenia jasminoides, Gardenia augusta\n5914\tn12929403\t5850\tcamellia, camelia\n5915\tn12902662\t5850\tnight jasmine, night jessamine, Cestrum nocturnum\n5916\tn12620196\t5850\trose, rosebush\n5917\tn12237641\t5850\tmountain laurel, wood laurel, American laurel, calico bush, Kalmia latifolia\n5918\tn12625383\t5850\tcotoneaster\n5919\tn12244153\t5850\trhododendron\n5920\tn11774513\t5850\tfrangipani, frangipanni\n5921\tn12520864\t5850\tbroom\n5922\tn12516828\t5850\tdesert pea, Sturt pea, Sturt's desert pea, Clianthus formosus, Clianthus speciosus\n5923\tn12849717\t5850\tlavender\n5924\tn12485653\t5850\tbutterfly bush, buddleia\n5925\tn12790430\t5862\tdeutzia\n5926\tn12788854\t5862\thortensia, Hydrangea macrophylla hortensis\n5927\tn11924445\t5874\tburdock, clotbur\n5928\tn12632335\t5874\tprairie smoke, purple avens, Geum triflorum\n5929\tn11947251\t5874\tcentaury\n5930\tn12099342\t5874\tsea lavender, marsh rosemary, statice\n5931\tn11931540\t5874\tcommon mugwort, Artemisia vulgaris\n5932\tn12545635\t5874\tbird's foot trefoil, bird's foot clover, babies' slippers, bacon and eggs, Lotus corniculatus\n5933\tn11778257\t5874\tlarge periwinkle, Vinca major\n5934\tn11924849\t5874\tgreat burdock, greater burdock, cocklebur, Arctium lappa\n5935\tn12367611\t5874\tSt John's wort\n5936\tn12602262\t5874\teriogonum\n5937\tn12328567\t5874\tpurple loosestrife, spiked loosestrife, Lythrum salicaria\n5938\tn12328398\t5874\tloosestrife\n5939\tn12629305\t5874\tmountain avens, Dryas octopetala\n5940\tn11907689\t5874\tmatilija poppy, California tree poppy, Romneya coulteri\n5941\tn11940006\t5874\tbur marigold, burr marigold, beggar-ticks, beggar's-ticks, sticktight\n5942\tn12546962\t5874\twild lupine, sundial lupine, Indian beet, old-maid's bonnet, Lupinus perennis\n5943\tn11925898\t5874\tmarguerite, marguerite daisy, Paris daisy, Chrysanthemum frutescens, Argyranthemum frutescens\n5944\tn11947629\t5929\tdusty miller, Centaurea cineraria, Centaurea gymnocarpa\n5945\tn11948864\t5929\tgreat knapweed, greater knapweed, Centaurea scabiosa\n5946\tn11948264\t5929\tknapweed\n5947\tn12368451\t5935\tcreeping St John's wort, Hypericum calycinum\n5948\tn12369309\t5935\tklammath weed, Hypericum perforatum\n5949\tn12368028\t5935\tcommon St John's wort, tutsan, Hypericum androsaemum\n5950\tn12307240\t5878\tcommon jasmine, true jasmine, jessamine, Jasminum officinale\n5951\tn12307076\t5878\twinter jasmine, Jasminum nudiflorum\n5952\tn12483427\t5885\tAdam's needle, Adam's needle-and-thread, spoonleaf yucca, needle palm, Yucca filamentosa\n5953\tn12483625\t5885\tbear grass, Yucca glauca\n5954\tn12482893\t5885\tJoshua tree, Yucca brevifolia\n5955\tn12483841\t5885\tSpanish dagger, Yucca gloriosa\n5956\tn12173664\t5888\thollyhock\n5957\tn12173912\t5888\trose mallow, Alcea rosea, Althea rosea\n5958\tn12171316\t5888\tcommon mallow, Malva neglecta\n5959\tn12174521\t5888\tmarsh mallow, white mallow, Althea officinalis\n5960\tn12171098\t5888\tmusk mallow, mus rose, Malva moschata\n5961\tn12177844\t5888\thibiscus\n5962\tn12174311\t5888\talthea, althaea, hollyhock\n5963\tn12178896\t5961\trose mallow, swamp mallow, common rose mallow, swamp rose mallow, Hibiscus moscheutos\n5964\tn12179122\t5961\tcotton rose, Confederate rose, Confederate rose mallow, Hibiscus mutabilis\n5965\tn12676534\t5891\twoodbine, Lonicera periclymenum\n5966\tn12676703\t5891\ttrumpet honeysuckle, coral honeysuckle, trumpet flower, trumpet vine, Lonicera sempervirens\n5967\tn12675876\t5891\tJapanese honeysuckle, Lonicera japonica\n5968\tn12920204\t5892\tpoinsettia, Christmas star, Christmas flower, lobster plant, Mexican flameleaf, painted leaf, Euphorbia pulcherrima\n5969\tn12921868\t5892\tcrown of thorns, Christ thorn, Christ plant, Euphorbia milii\n5970\tn12621410\t5916\tdamask rose, summer damask rose, Rosa damascena\n5971\tn12622297\t5916\tmusk rose, Rosa moschata\n5972\tn12245319\t5919\tazalea\n5973\tn12244650\t5919\trosebay, Rhododendron maxima\n5974\tn12244819\t5919\tswamp azalea, swamp honeysuckle, white honeysuckle, Rhododendron viscosum\n5975\tn12521394\t5921\tcommon broom, Scotch broom, green broom, Cytisus scoparius\n5976\tn12530818\t5921\twoodwaxen, dyer's greenweed, dyer's-broom, dyeweed, greenweed, whin, woadwaxen, Genista tinctoria\n5977\tn12849952\t5923\tEnglish lavender, Lavandula angustifolia, Lavandula officinalis\n5978\tn12850336\t5923\tspike lavender, French lavender, Lavandula latifolia\n5979\tn12850168\t5923\tFrench lavender, Lavandula stoechas\n5980\tn12495146\t5851\tlocust tree, locust\n5981\tn12570972\t5851\tkowhai, Sophora tetraptera\n5982\tn12196129\t5851\tbottle-tree, bottle tree\n5983\tn13107694\t5851\ttimber tree\n5984\tn12202936\t5851\tlinden, linden tree, basswood, lime, lime tree\n5985\tn13111881\t5851\tbonsai\n5986\tn13103877\t5851\tsnag\n5987\tn12409231\t5851\thackberry, nettle tree\n5988\tn12765115\t5851\tpepper tree, molle, Peruvian mastic tree, Schinus molle\n5989\tn12265600\t5851\tJapanese oak, Lithocarpus glabra, Lithocarpus glaber\n5990\tn12409470\t5851\tEuropean hackberry, Mediterranean hackberry, Celtis australis\n5991\tn12713866\t5851\tcork tree, Phellodendron amurense\n5992\tn12281241\t5851\tbirch, birch tree\n5993\tn11709205\t5851\tstar anise, Chinese anise, Illicium verum\n5994\tn12189429\t5851\tred silk-cotton tree, simal, Bombax ceiba, Bombax malabarica\n5995\tn12562785\t5851\troble, Platymiscium trinitatis\n5996\tn12284821\t5851\tcommon alder, European black alder, Alnus glutinosa, Alnus vulgaris\n5997\tn12401335\t5851\tfig tree\n5998\tn12570394\t5851\tJapanese pagoda tree, Chinese scholartree, Chinese scholar tree, Sophora japonica, Sophora sinensis\n5999\tn11759224\t5851\talbizzia, albizia\n6000\tn12286988\t5851\tEuropean hornbeam, Carpinus betulus\n6001\tn12491826\t5851\tcassia\n6002\tn12527738\t5851\tcoral tree, erythrina\n6003\tn12696492\t5851\tneem, neem tree, nim tree, margosa, arishth, Azadirachta indica, Melia Azadirachta\n6004\tn12325234\t5851\twhite mangrove, Laguncularia racemosa\n6005\tn12198286\t5851\tChinese parasol tree, Chinese parasol, Japanese varnish tree, phoenix tree, Firmiana simplex\n6006\tn12330891\t5851\tbayberry, bay-rum tree, Jamaica bayberry, wild cinnamon, Pimenta acris\n6007\tn11650558\t5851\tyellowwood, yellowwood tree\n6008\tn12405714\t5851\telm, elm tree\n6009\tn12284262\t5851\talder, alder tree\n6010\tn12714755\t5851\tprickly ash\n6011\tn13109733\t5851\tangiospermous tree, flowering tree\n6012\tn12262553\t5851\tchestnut, chestnut tree\n6013\tn12506341\t5851\tcabbage bark, cabbage-bark tree, cabbage tree, Andira inermis\n6014\tn12303462\t5851\tash, ash tree\n6015\tn12260799\t5851\tbeech, beech tree\n6016\tn12302071\t5851\tfringe tree\n6017\tn12492106\t5851\tgolden shower tree, drumstick tree, purging cassia, pudding pipe tree, canafistola, canafistula, Cassia fistula\n6018\tn11762433\t5851\tlead tree, white popinac, Leucaena glauca, Leucaena leucocephala\n6019\tn12582231\t5851\tpalm, palm tree\n6020\tn12774299\t5851\tbalata, balata tree, beefwood, bully tree, Manilkara bidentata\n6021\tn13108481\t5851\tsapling\n6022\tn12267411\t5851\tblack beech, Nothofagus solanderi\n6023\tn11756092\t5851\tacacia\n6024\tn12662772\t5851\tcoffee, coffee tree\n6025\tn13108662\t5851\tgymnospermous tree\n6026\tn12528549\t5851\tceibo, crybaby tree, cry-baby tree, common coral tree, Erythrina crista-galli\n6027\tn12690653\t5851\tincense tree\n6028\tn12180885\t5851\tlacebark, ribbonwood, houhere, Hoheria populnea\n6029\tn13108545\t5851\tshade tree\n6030\tn13108323\t5851\tpollard\n6031\tn12334293\t5851\tgum tree, gum\n6032\tn12670758\t5851\twild medlar, wild medlar tree, medlar, Vangueria infausta\n6033\tn12286826\t5851\thornbeam\n6034\tn12724942\t5851\twillow, willow tree\n6035\tn12155009\t5851\ttextile screw pine, lauhala, Pandanus tectorius\n6036\tn12570703\t5851\tmescal bean, coral bean, frijolito, frijolillo, Sophora secundiflora\n6037\tn12523475\t5851\tBrazilian rosewood, caviuna wood, jacaranda, Dalbergia nigra\n6038\tn12154773\t5851\tpandanus, screw pine\n6039\tn12915811\t5851\twhite mangrove, Avicennia officinalis\n6040\tn12268246\t5851\toak, oak tree\n6041\tn13108131\t5851\tbean tree\n6042\tn12806732\t5851\tplane tree, sycamore, platan\n6043\tn12524188\t5851\tblackwood, blackwood tree\n6044\tn11758799\t5851\tcoralwood, coral-wood, red sandalwood, Barbados pride, peacock flower fence, Adenanthera pavonina\n6045\tn12496427\t5851\tKentucky coffee tree, bonduc, chicot, Gymnocladus dioica\n6046\tn12568186\t5980\tblack locust, yellow locust, Robinia pseudoacacia\n6047\tn12495895\t5980\thoney locust, Gleditsia triacanthos\n6048\tn12196527\t5982\tflame tree, broad-leaved bottletree, Brachychiton australis\n6049\tn12196336\t5982\tflame tree, flame durrajong, Brachychiton acerifolius, Sterculia acerifolia\n6050\tn12196694\t5982\tkurrajong, currajong, Brachychiton populneus\n6051\tn12203529\t5984\tAmerican basswood, American lime, Tilia americana\n6052\tn12204175\t5984\tsilver lime, silver linden, Tilia tomentosa\n6053\tn12282933\t5992\tblack birch, river birch, red birch, Betula nigra\n6054\tn12282527\t5992\tsilver birch, common birch, European white birch, Betula pendula\n6055\tn12283542\t5992\tswamp birch, water birch, mountain birch, Western paper birch, Western birch, Betula fontinalis\n6056\tn12282737\t5992\tdowny birch, white birch, Betula pubescens\n6057\tn12282235\t5992\tgrey birch, gray birch, American grey birch, American gray birch, Betula populifolia\n6058\tn12402051\t5997\tgolden fig, Florida strangler fig, strangler fig, wild fig, Ficus aurea\n6059\tn12402840\t5997\tIndia-rubber tree, India-rubber plant, India-rubber fig, rubber plant, Assam rubber, Ficus elastica\n6060\tn12401684\t5997\tfig, common fig, common fig tree, Ficus carica\n6061\tn12402348\t5997\tbanyan, banyan tree, banian, banian tree, Indian banyan, East Indian fig tree, Ficus bengalensis\n6062\tn12402596\t5997\tpipal, pipal tree, pipul, peepul, sacred fig, bo tree, Ficus religiosa\n6063\tn11759853\t5999\train tree, saman, monkeypod, monkey pod, zaman, zamang, Albizia saman\n6064\tn11759404\t5999\tsilk tree, Albizia julibrissin, Albizzia julibrissin\n6065\tn12406715\t6008\tsmooth-leaved elm, European field elm, Ulmus carpinifolia\n6066\tn12406488\t6008\tAmerican elm, white elm, water elm, rock elm, Ulmus americana\n6067\tn12407890\t6008\tEnglish elm, European elm, Ulmus procera\n6068\tn12406902\t6008\tcedar elm, Ulmus crassifolia\n6069\tn12330469\t6011\tmyrtle\n6070\tn12345899\t6011\tmangrove, Rhizophora mangle\n6071\tn11709674\t6011\tmagnolia\n6072\tn12329473\t6011\tQueen's crape myrtle, pride-of-India, Lagerstroemia speciosa\n6073\tn12200143\t6011\tlooking-glass plant, Heritiera littoralis\n6074\tn11712282\t6011\ttulip tree, tulip poplar, yellow poplar, canary whitewood, Liriodendron tulipifera\n6075\tn12752205\t6011\tmaple\n6076\tn13110915\t6011\tnut tree\n6077\tn12513933\t6011\tredbud, Cercis canadensis\n6078\tn12189987\t6011\tbaobab, monkey-bread tree, Adansonia digitata\n6079\tn12731401\t6011\tpoplar, poplar tree\n6080\tn12717224\t6011\ttree of heaven, tree of the gods, Ailanthus altissima\n6081\tn12717072\t6011\tailanthus\n6082\tn12946849\t6011\tdogwood, dogwood tree, cornel\n6083\tn12756457\t6011\tholly\n6084\tn12201580\t6011\tcacao, cacao tree, chocolate tree, Theobroma cacao\n6085\tn11703669\t6011\tlaurel\n6086\tn12491017\t6011\tmountain ebony, orchid tree, Bauhinia variegata\n6087\tn12190410\t6011\tkapok, ceiba tree, silk-cotton tree, white silk-cotton tree, Bombay ceiba, God tree, Ceiba pentandra\n6088\tn12242409\t6011\tsorrel tree, sourwood, titi, Oxydendrum arboreum\n6089\tn07754894\t6011\tcacao bean, cocoa bean\n6090\tn12818346\t6011\tSpanish elm, Equador laurel, salmwood, cypre, princewood, Cordia alliodora\n6091\tn12658308\t6011\trowan, rowan tree, European mountain ash, Sorbus aucuparia\n6092\tn12658118\t6011\tmountain ash\n6093\tn12494794\t6011\troyal poinciana, flamboyant, flame tree, peacock flower, Delonix regia, Poinciana regia\n6094\tn12317296\t6011\tiron tree, iron-tree, ironwood, ironwood tree\n6095\tn12651821\t6011\tfruit tree\n6096\tn11711764\t6071\tsweet bay, swamp bay, swamp laurel, Magnolia virginiana\n6097\tn11710136\t6071\tsouthern magnolia, evergreen magnolia, large-flowering magnolia, bull bay, Magnolia grandiflora\n6098\tn11711537\t6071\tstar magnolia, Magnolia stellata\n6099\tn11710393\t6071\tumbrella tree, umbrella magnolia, elkwood, elk-wood, Magnolia tripetala\n6100\tn12755225\t6075\tbox elder, ash-leaved maple, Acer negundo\n6101\tn12753573\t6075\tred maple, scarlet maple, swamp maple, Acer rubrum\n6102\tn12754648\t6075\thedge maple, field maple, Acer campestre\n6103\tn12754781\t6075\tNorway maple, Acer platanoides\n6104\tn12755727\t6075\tJapanese maple, full moon maple, Acer japonicum\n6105\tn12754981\t6075\tsycamore, great maple, scottish maple, Acer pseudoplatanus\n6106\tn12755387\t6075\tCalifornia box elder, Acer negundo Californicum\n6107\tn12753007\t6075\tsilver maple, Acer saccharinum\n6108\tn12753245\t6075\tsugar maple, rock maple, Acer saccharum\n6109\tn12754003\t6075\tOregon maple, big-leaf maple, Acer macrophyllum\n6110\tn12759273\t6076\tcashew, cashew tree, Anacardium occidentale\n6111\tn12318378\t6076\twalnut, walnut tree\n6112\tn12288823\t6076\thazelnut, hazel, hazelnut tree\n6113\tn12319204\t6111\tblack walnut, black walnut tree, black hickory, Juglans nigra\n6114\tn12319414\t6111\tEnglish walnut, English walnut tree, Circassian walnut, Persian walnut, Juglans regia\n6115\tn12732491\t6079\tblack poplar, Populus nigra\n6116\tn12733647\t6079\taspen\n6117\tn12732756\t6079\tcottonwood\n6118\tn12732009\t6079\twhite poplar, white aspen, abele, aspen poplar, silver-leaved poplar, Populus alba\n6119\tn12733870\t6079\tquaking aspen, European quaking aspen, Populus tremula\n6120\tn12732966\t6117\tEastern cottonwood, necklace poplar, Populus deltoides\n6121\tn12733218\t6117\tblack cottonwood, Western balsam poplar, Populus trichocarpa\n6122\tn12948495\t6082\tcornelian cherry, Cornus mas\n6123\tn12948251\t6082\tbunchberry, dwarf cornel, crackerberry, pudding berry, Cornus canadensis\n6124\tn12948053\t6082\tcommon European dogwood, red dogwood, blood-twig, pedwood, Cornus sanguinea\n6125\tn12947313\t6082\tcommon white dogwood, eastern flowering dogwood, Cornus florida\n6126\tn12757303\t6083\tbearberry, possum haw, winterberry, Ilex decidua\n6127\tn12757458\t6083\tinkberry, gallberry, gall-berry, evergreen winterberry, Ilex glabra\n6128\tn11704093\t6085\ttrue laurel, bay, bay laurel, bay tree, Laurus nobilis\n6129\tn11705171\t6085\tcassia, cassia-bark tree, Cinnamomum cassia\n6130\tn12707781\t6095\tcitrus, citrus tree\n6131\tn12399132\t6095\tmulberry, mulberry tree\n6132\tn12400720\t6095\tjackfruit, jackfruit tree, Artocarpus heterophyllus\n6133\tn12345280\t6095\tpomegranate, pomegranate tree, Punica granatum\n6134\tn11695599\t6095\tpawpaw, papaw, papaw tree, Asimina triloba\n6135\tn12771192\t6095\tpersimmon, persimmon tree\n6136\tn12704343\t6095\tcarambola, carambola tree, Averrhoa carambola\n6137\tn12638218\t6095\tplum, plum tree\n6138\tn12644902\t6095\talmond tree\n6139\tn12190869\t6095\tdurian, durion, durian tree, Durio zibethinus\n6140\tn12373100\t6095\tpapaya, papaia, pawpaw, papaya tree, melon tree, Carica papaya\n6141\tn12300840\t6095\tolive tree\n6142\tn12743352\t6095\tlongan, lungen, longanberry, Dimocarpus longan, Euphorbia litchi, Nephelium longana\n6143\tn12651611\t6095\tpear, pear tree, Pyrus communis\n6144\tn12629666\t6095\tloquat, loquat tree, Japanese medlar, Japanese plum, Eriobotrya japonica\n6145\tn12636224\t6095\tmedlar, medlar tree, Mespilus germanica\n6146\tn12648045\t6095\tpeach, peach tree, Prunus persica\n6147\tn12399384\t6095\twhite mulberry, Morus alba\n6148\tn12301180\t6095\tolive, European olive tree, Olea europaea\n6149\tn12744387\t6095\tlitchi, lichee, litchi tree, Litchi chinensis, Nephelium litchi\n6150\tn12640839\t6095\tJapanese apricot, mei, Prunus mume\n6151\tn12745386\t6095\trambutan, rambotan, rambutan tree, Nephelium lappaceum\n6152\tn12633638\t6095\tapple tree\n6153\tn12771390\t6095\tJapanese persimmon, kaki, Diospyros kaki\n6154\tn12761284\t6095\tmango, mango tree, Mangifera indica\n6155\tn12400489\t6095\tbreadfruit, breadfruit tree, Artocarpus communis, Artocarpus altilis\n6156\tn12333530\t6095\tguava, true guava, guava bush, Psidium guajava\n6157\tn12333771\t6095\tguava, strawberry guava, yellow cattley guava, Psidium littorale\n6158\tn12333053\t6095\tjaboticaba, jaboticaba tree, Myrciaria cauliflora\n6159\tn12641413\t6095\tcherry, cherry tree\n6160\tn12332030\t6095\tSurinam cherry, pitanga, Eugenia uniflora\n6161\tn12711984\t6130\tlime, lime tree, Citrus aurantifolia\n6162\tn12709901\t6130\tmandarin, mandarin orange, mandarin orange tree, Citrus reticulata\n6163\tn12708293\t6130\torange, orange tree\n6164\tn12713063\t6130\tkumquat, cumquat, kumquat tree\n6165\tn12711596\t6130\tlemon, lemon tree, Citrus limon\n6166\tn12709103\t6130\tpomelo, pomelo tree, pummelo, shaddock, Citrus maxima, Citrus grandis, Citrus decumana\n6167\tn12709688\t6130\tgrapefruit, Citrus paradisi\n6168\tn12710415\t6162\tclementine, clementine tree\n6169\tn12710295\t6162\ttangerine, tangerine tree\n6170\tn12710693\t6163\tsweet orange, sweet orange tree, Citrus sinensis\n6171\tn12708654\t6163\tsour orange, Seville orange, bitter orange, bitter orange tree, bigarade, marmalade orange, Citrus aurantium\n6172\tn12708941\t6163\tbergamot, bergamot orange, Citrus bergamia\n6173\tn12643313\t6137\tcherry plum, myrobalan, myrobalan plum, Prunus cerasifera\n6174\tn12638753\t6137\tAllegheny plum, Alleghany plum, sloe, Prunus alleghaniensis\n6175\tn12646740\t6138\tflowering almond, oriental bush cherry, Prunus japonica\n6176\tn12645174\t6138\talmond, sweet almond, Prunus dulcis, Prunus amygdalus, Amygdalus communis\n6177\tn12650379\t6138\tflowering almond, Prunus triloba\n6178\tn12634429\t6152\tcrab apple, crabapple, cultivated crab apple\n6179\tn12633994\t6152\tapple, orchard apple tree, Malus pumila\n6180\tn12634211\t6152\twild apple, crab apple, crabapple\n6181\tn12635532\t6152\tSouthern crab apple, flowering crab, Malus angustifolia\n6182\tn12635955\t6180\tBechtel crab, flowering crab\n6183\tn12635744\t6180\tIowa crab, Iowa crab apple, prairie crab, western crab apple, Malus ioensis\n6184\tn12643473\t6159\tsour cherry, sour cherry tree, Prunus cerasus\n6185\tn12649065\t6159\tflowering cherry\n6186\tn12641931\t6159\twild cherry, wild cherry tree\n6187\tn12642200\t6159\tsweet cherry, Prunus avium\n6188\tn12650556\t6159\tchokecherry, chokecherry tree, Prunus virginiana\n6189\tn12649539\t6185\tJapanese flowering cherry, Prunus sieboldii\n6190\tn12649317\t6185\toriental cherry, Japanese cherry, Japanese flowering cherry, Prunus serrulata\n6191\tn12646605\t6185\tfuji, fuji cherry, Prunus incisa\n6192\tn12647560\t6186\thagberry tree, European bird cherry, common bird cherry, Prunus padus\n6193\tn12648888\t6186\tblack cherry, black cherry tree, rum cherry, Prunus serotina\n6194\tn12263987\t6012\tOzark chinkapin, Ozark chinquapin, chinquapin, Castanea ozarkensis\n6195\tn12263038\t6012\tAmerican chestnut, American sweet chestnut, Castanea dentata\n6196\tn12306089\t6014\tpumpkin ash, Fraxinus tomentosa\n6197\tn12305986\t6014\tmountain ash, Fraxinus texensis\n6198\tn12305293\t6014\tmanna ash, flowering ash, Fraxinus ornus\n6199\tn12304703\t6014\tEuropean ash, common European ash, Fraxinus excelsior\n6200\tn12305475\t6014\tred ash, downy ash, Fraxinus pennsylvanica\n6201\tn12262018\t6015\tweeping beech, Fagus pendula, Fagus sylvatica pendula\n6202\tn12261808\t6015\tAmerican beech, white beech, red beech, Fagus grandifolia, Fagus americana\n6203\tn12261571\t6015\tcopper beech, purple beech, Fagus sylvatica atropunicea, Fagus purpurea, Fagus sylvatica purpurea\n6204\tn12595699\t6019\tbamboo palm, Raffia vinifera\n6205\tn12587132\t6019\twine palm, jaggery palm, kitul, kittul, kitul tree, toddy palm, Caryota urens\n6206\tn12583126\t6019\tfan palm\n6207\tn12596709\t6019\troyal palm, Roystonea regia\n6208\tn12591351\t6019\tcabbage palm, cabbage tree, Livistona australis\n6209\tn12596849\t6019\tcabbage palm, Roystonea oleracea\n6210\tn12582665\t6019\tsago palm\n6211\tn12596148\t6019\tminiature fan palm, bamboo palm, fern rhapis, Rhapis excelsa\n6212\tn12595964\t6019\tlady palm\n6213\tn12582846\t6019\tfeather palm\n6214\tn12587803\t6019\tcoconut, coconut palm, coco palm, coco, cocoa palm, coconut tree, Cocos nucifera\n6215\tn12591017\t6019\tcabbage palm, Euterpe oleracea\n6216\tn12588320\t6206\tcarnauba, carnauba palm, wax palm, Copernicia prunifera, Copernicia cerifera\n6217\tn12588780\t6206\tcaranday, caranda, caranda palm, wax palm, Copernicia australis, Copernicia alba\n6218\tn12585629\t6206\tpalmyra, palmyra palm, toddy palm, wine palm, lontar, longar palm, Borassus flabellifer\n6219\tn12597134\t6206\tcabbage palmetto, cabbage palm, Sabal palmetto\n6220\tn12598027\t6206\tkey palm, silvertop palmetto, silver thatch, Thrinax microcarpa, Thrinax morrisii, Thrinax keyensis\n6221\tn12597466\t6206\tsaw palmetto, scrub palmetto, Serenoa repens\n6222\tn12583401\t6206\tpalmetto\n6223\tn12593994\t6213\tdate palm, Phoenix dactylifera\n6224\tn12590232\t6213\toil palm\n6225\tn11757653\t6023\tsilver wattle, mimosa, Acacia dealbata\n6226\tn11756669\t6023\twattle\n6227\tn11757851\t6023\thuisache, cassie, mimosa bush, sweet wattle, sweet acacia, scented wattle, flame tree, Acacia farnesiana\n6228\tn11664418\t6025\tginkgo, gingko, maidenhair tree, Ginkgo biloba\n6229\tn13108841\t6025\tconifer, coniferous tree\n6230\tn11647703\t6229\tkauri, kaury, Agathis australis\n6231\tn11628793\t6229\tgreen douglas fir, douglas spruce, douglas pine, douglas hemlock, Oregon fir, Oregon pine, Pseudotsuga menziesii\n6232\tn11658331\t6229\tmiro, black pine, Prumnopitys ferruginea, Podocarpus ferruginea\n6233\tn11623105\t6229\tcedar, cedar tree, true cedar\n6234\tn11630017\t6229\tcedar, cedar tree\n6235\tn11628456\t6229\tdouglas fir\n6236\tn11658544\t6229\tmatai, black pine, Prumnopitys taxifolia, Podocarpus spicata\n6237\tn11643835\t6229\tarborvitae\n6238\tn11624531\t6229\tspruce\n6239\tn11661372\t6229\tyew\n6240\tn11645914\t6229\taraucaria\n6241\tn11630489\t6229\tcypress, cypress tree\n6242\tn11640132\t6229\tmetasequoia, dawn redwood, Metasequoia glyptostrodoides\n6243\tn11608250\t6229\tpine, pine tree, true pine\n6244\tn11620673\t6229\tfir, fir tree, true fir\n6245\tn11618861\t6229\tlarch, larch tree\n6246\tn11627168\t6229\themlock, hemlock tree\n6247\tn11623815\t6233\tcedar of Lebanon, Cedrus libani\n6248\tn11624192\t6233\tAtlas cedar, Cedrus atlantica\n6249\tn11623967\t6233\tdeodar, deodar cedar, Himalayan cedar, Cedrus deodara\n6250\tn11635152\t6234\tsouthern white cedar, coast white cedar, Atlantic white cedar, white cypress, white cedar, Chamaecyparis thyoides\n6251\tn11634736\t6234\tincense cedar, red cedar, Calocedrus decurrens, Libocedrus decurrens\n6252\tn11635433\t6234\tOregon cedar, Port Orford cedar, Lawson's cypress, Lawson's cedar, Chamaecyparis lawsoniana\n6253\tn11636204\t6234\tJapanese cedar, Japan cedar, sugi, Cryptomeria japonica\n6254\tn11644462\t6237\tOriental arborvitae, Thuja orientalis, Platycladus orientalis\n6255\tn11644226\t6237\tAmerican arborvitae, northern white cedar, white cedar, Thuja occidentalis\n6256\tn11644046\t6237\twestern red cedar, red cedar, canoe cedar, Thuja plicata\n6257\tn11626585\t6238\tColorado spruce, Colorado blue spruce, silver spruce, Picea pungens\n6258\tn11625632\t6238\twhite spruce, Picea glauca\n6259\tn11625003\t6238\tNorway spruce, Picea abies\n6260\tn11626826\t6238\tred spruce, eastern spruce, yellow spruce, Picea rubens\n6261\tn11625804\t6238\tblack spruce, Picea mariana, spruce pine\n6262\tn11626152\t6238\tSitka spruce, Picea sitchensis\n6263\tn11626409\t6238\toriental spruce, Picea orientalis\n6264\tn11646694\t6240\tbunya bunya, bunya bunya tree, Araucaria bidwillii\n6265\tn11646167\t6240\tmonkey puzzle, chile pine, Araucaria araucana\n6266\tn11632167\t6241\tMonterey cypress, Cupressus macrocarpa\n6267\tn11631854\t6241\tArizona cypress, Cupressus arizonica\n6268\tn11632619\t6241\tItalian cypress, Mediterranean cypress, Cupressus sempervirens\n6269\tn11616662\t6243\tScotch pine, Scots pine, Scotch fir, Pinus sylvestris\n6270\tn11611561\t6243\tpond pine, Pinus serotina\n6271\tn11611356\t6243\tpitch pine, northern pitch pine, Pinus rigida\n6272\tn11617631\t6243\ttable-mountain pine, prickly pine, hickory pine, Pinus pungens\n6273\tn11612575\t6243\tancient pine, Pinus longaeva\n6274\tn11611758\t6243\tstone pine, umbrella pine, European nut pine, Pinus pinea\n6275\tn11614713\t6243\tJeffrey pine, Jeffrey's pine, black pine, Pinus jeffreyi\n6276\tn11615387\t6243\tloblolly pine, frankincense pine, Pinus taeda\n6277\tn11612018\t6243\tSwiss pine, Swiss stone pine, arolla pine, cembra nut tree, Pinus cembra\n6278\tn11611087\t6243\tspruce pine, Pinus glabra\n6279\tn11612923\t6243\twhite pine\n6280\tn11616486\t6243\tred pine, Canadian red pine, Pinus resinosa\n6281\tn11618290\t6243\tJapanese black pine, black pine, Pinus thunbergii\n6282\tn11612349\t6243\tSwiss mountain pine, mountain pine, dwarf mountain pine, mugho pine, mugo pine, Pinus mugo\n6283\tn11611233\t6243\tblack pine, Pinus nigra\n6284\tn11617090\t6243\tMonterey pine, Pinus radiata\n6285\tn11614250\t6243\tyellow pine\n6286\tn11618525\t6243\tTorrey pine, Torrey's pine, soledad pine, grey-leaf pine, sabine pine, Pinus torreyana\n6287\tn11615026\t6243\tshore pine, lodgepole, lodgepole pine, spruce pine, Pinus contorta\n6288\tn11617272\t6243\tbristlecone pine, Rocky Mountain bristlecone pine, Pinus aristata\n6289\tn11614039\t6279\twhitebark pine, whitebarked pine, Pinus albicaulis\n6290\tn11613459\t6279\twestern white pine, silver pine, mountain pine, Pinus monticola\n6291\tn11615967\t6285\tlongleaf pine, pitch pine, southern yellow pine, Georgia pine, Pinus palustris\n6292\tn11614420\t6285\tponderosa, ponderosa pine, western yellow pine, bull pine, Pinus ponderosa\n6293\tn11621029\t6244\tsilver fir\n6294\tn11622184\t6293\tFraser fir, Abies fraseri\n6295\tn11622591\t6293\tAlpine fir, subalpine fir, Abies lasiocarpa\n6296\tn11621281\t6293\tamabilis fir, white fir, Pacific silver fir, red silver fir, Christmas tree, Abies amabilis\n6297\tn11622368\t6293\tlowland fir, lowland white fir, giant fir, grand fir, Abies grandis\n6298\tn11621950\t6293\tbalsam fir, balm of Gilead, Canada balsam, Abies balsamea\n6299\tn11621547\t6293\tEuropean silver fir, Christmas tree, Abies alba\n6300\tn11621727\t6293\twhite fir, Colorado fir, California white fir, Abies concolor, Abies lowiana\n6301\tn11619455\t6245\twestern larch, western tamarack, Oregon larch, Larix occidentalis\n6302\tn11619227\t6245\tAmerican larch, tamarack, black larch, Larix laricina\n6303\tn11627512\t6246\teastern hemlock, Canadian hemlock, spruce pine, Tsuga canadensis\n6304\tn11628087\t6246\twestern hemlock, Pacific hemlock, west coast hemlock, Tsuga heterophylla\n6305\tn11627908\t6246\tmountain hemlock, black hemlock, Tsuga mertensiana\n6306\tn12691661\t6027\tgumbo-limbo, Bursera simaruba\n6307\tn12691428\t6027\telephant tree, Bursera microphylla\n6308\tn12316572\t6031\tsweet gum, sweet gum tree, bilsted, red gum, American sweet gum, Liquidambar styraciflua\n6309\tn12334891\t6031\teucalyptus, eucalypt, eucalyptus tree\n6310\tn12340755\t6031\tsour gum, black gum, pepperidge, Nyssa sylvatica\n6311\tn12316444\t6031\tliquidambar\n6312\tn12336727\t6309\tsnow gum, ghost gum, white ash, Eucalyptus coriacea, Eucalyptus pauciflora\n6313\tn12338796\t6309\tmountain ash, Eucalyptus regnans\n6314\tn12338454\t6309\tblack mallee, black sally, black gum, Eucalytus stellulata\n6315\tn12336973\t6309\talpine ash, mountain oak, Eucalyptus delegatensis\n6316\tn12336092\t6309\tred gum, peppermint, peppermint gum, Eucalyptus amygdalina\n6317\tn12336224\t6309\tred gum, marri, Eucalyptus calophylla\n6318\tn12337617\t6309\tblue gum, fever tree, Eucalyptus globulus\n6319\tn12725521\t6034\tosier\n6320\tn12727101\t6034\tpussy willow, Salix discolor\n6321\tn12729521\t6034\tbay willow, laurel willow, Salix pentandra\n6322\tn12726670\t6034\tweeping willow, Babylonian weeping willow, Salix babylonica\n6323\tn12729315\t6034\tswamp willow, black willow, Salix nigra\n6324\tn12729729\t6319\tpurple willow, red willow, red osier, basket willow, purple osier, Salix purpurea\n6325\tn12731029\t6319\tcommon osier, hemp willow, velvet osier, Salix viminalis\n6326\tn12270741\t6040\tEuropean turkey oak, turkey oak, Quercus cerris\n6327\tn12271643\t6040\tred oak\n6328\tn12278650\t6040\tcork oak, Quercus suber\n6329\tn12279458\t6040\tblack oak, yellow oak, quercitron, quercitron oak, Quercus velutina\n6330\tn12269241\t6040\tlive oak\n6331\tn12275489\t6040\tchestnut oak\n6332\tn12273114\t6040\tbluejack oak, turkey oak, Quercus incana\n6333\tn12276872\t6040\tpin oak, swamp oak, Quercus palustris\n6334\tn12278371\t6040\tpost oak, box white oak, brash oak, iron oak, Quercus stellata\n6335\tn12272883\t6040\tshingle oak, laurel oak, Quercus imbricaria\n6336\tn12269652\t6040\twhite oak\n6337\tn12273768\t6040\tlaurel oak, pin oak, Quercus laurifolia\n6338\tn12277800\t6327\tnorthern red oak, Quercus rubra, Quercus borealis\n6339\tn12271933\t6327\tsouthern red oak, swamp red oak, turkey oak, Quercus falcata\n6340\tn12279772\t6330\tsouthern live oak, Quercus virginiana\n6341\tn12270946\t6330\tcanyon oak, canyon live oak, maul oak, iron oak, Quercus chrysolepis\n6342\tn12269406\t6330\tcoast live oak, California live oak, Quercus agrifolia\n6343\tn12275675\t6331\tchinquapin oak, chinkapin oak, yellow chestnut oak, Quercus muehlenbergii\n6344\tn12276628\t6331\tbasket oak, cow oak, Quercus prinus, Quercus montana\n6345\tn12275131\t6331\tswamp chestnut oak, Quercus michauxii\n6346\tn12274358\t6336\tbur oak, burr oak, mossy-cup oak, mossycup oak, Quercus macrocarpa\n6347\tn12272239\t6336\tOregon white oak, Oregon oak, Garry oak, Quercus garryana\n6348\tn12277578\t6336\tcommon oak, English oak, pedunculate oak, Quercus robur\n6349\tn12501202\t6041\ttamarind, tamarind tree, tamarindo, Tamarindus indica\n6350\tn12814643\t6041\tcatalpa, Indian bean\n6351\tn12493208\t6041\tcarob, carob tree, carob bean tree, algarroba, Ceratonia siliqua\n6352\tn12807773\t6042\tCalifornia sycamore, Platanus racemosa\n6353\tn12807409\t6042\tAmerican sycamore, American plane, buttonwood, Platanus occidentalis\n6354\tn12807251\t6042\tLondon plane, Platanus acerifolia\n6355\tn11758122\t6043\tlightwood, Acacia melanoxylon\n6356\tn12915568\t6043\tblack mangrove, Avicennia marina\n6357\tn12656369\t5852\twild raspberry, European raspberry, framboise, Rubus idaeus\n6358\tn12656685\t5852\tblack raspberry, blackcap, blackcap raspberry, thimbleberry, Rubus occidentalis\n6359\tn12547215\t5853\tbluebonnet, buffalo clover, Texas bluebonnet, Lupinus subcarnosus\n6360\tn12547503\t5853\tTexas bluebonnet, Lupinus texensis\n6361\tn11944196\t5194\tthistle\n6362\tn11984144\t5194\tcat's-ear, California dandelion, capeweed, gosmore, Hypochaeris radicata\n6363\tn11805544\t5194\tcorn cockle, corn campion, crown-of-the-field, Agrostemma githago\n6364\tn11874081\t5194\tyellow rocket, rockcress, rocket cress, Barbarea vulgaris, Sisymbrium barbarea\n6365\tn11965218\t5194\tfireweed, Erechtites hieracifolia\n6366\tn12392549\t5194\tstinging nettle, Urtica dioica\n6367\tn11956348\t5194\thorseweed, Canadian fleabane, fleabane, Conyza canadensis, Erigeron canadensis\n6368\tn11945514\t6361\tstemless carline thistle, Carlina acaulis\n6369\tn11944954\t6361\tmusk thistle, nodding thistle, Carduus nutans\n6370\tn11998888\t6361\tcotton thistle, woolly thistle, Scotch thistle, Onopordum acanthium, Onopordon acanthium\n6371\tn11953884\t6361\tplume thistle, plumed thistle\n6372\tn11954345\t6361\tfield thistle, Cirsium discolor\n6373\tn11955153\t6371\tbull thistle, boar thistle, spear thistle, Cirsium vulgare, Cirsium lanceolatum\n6374\tn11954161\t6371\tCanada thistle, creeping thistle, Cirsium arvense\n6375\tn12421137\t5196\thippeastrum, Hippeastrum puniceum\n6376\tn12421467\t5196\tnarcissus\n6377\tn12411461\t5196\tiridaceous plant\n6378\tn12451915\t5196\tfritillary, checkered lily\n6379\tn12425281\t5196\tliliaceous plant\n6380\tn12459629\t5196\tstar-of-Bethlehem\n6381\tn12421683\t6376\tdaffodil, Narcissus pseudonarcissus\n6382\tn12422129\t6376\tjonquil\n6383\tn12421917\t6376\tjonquil, Narcissus jonquilla\n6384\tn12411922\t6377\tiris, flag, fleur-de-lis, sword lily\n6385\tn12418221\t6377\tblue-eyed grass\n6386\tn12416073\t6377\tblackberry-lily, leopard lily, Belamcanda chinensis\n6387\tn12413165\t6384\tdwarf iris, Iris cristata\n6388\tn12414932\t6384\tdwarf iris, vernal iris, Iris verna\n6389\tn12412606\t6384\tbeardless iris\n6390\tn12412355\t6384\tbearded iris\n6391\tn12414035\t6384\tJapanese iris, Iris kaempferi\n6392\tn12413880\t6384\tGerman iris, Iris germanica\n6393\tn12453186\t6378\tsnake's head fritillary, guinea-hen flower, checkered daffodil, leper lily, Fritillaria meleagris\n6394\tn12452836\t6378\tcrown imperial, Fritillaria imperialis\n6395\tn12450344\t6379\tdogtooth violet, dogtooth, dog's-tooth violet\n6396\tn12426248\t6379\tlily\n6397\tn12429352\t6379\tAfrican lily, African tulip, blue African lily, Agapanthus africanus\n6398\tn12460697\t6379\tgrape hyacinth\n6399\tn12449526\t6379\tcommon camas, Camassia quamash\n6400\tn12473840\t6379\tfalse lily of the valley, Maianthemum bifolium\n6401\tn12458550\t6379\tcommon hyacinth, Hyacinthus orientalis\n6402\tn12449296\t6379\tcamas, camass, quamash, camosh, camash\n6403\tn12472024\t6379\tclintonia, Clinton's lily\n6404\tn12457091\t6379\tlemon lily, Hemerocallis lilio-asphodelus, Hemerocallis flava\n6405\tn12465557\t6379\tsquaw grass, bear grass, Xerophyllum tenax\n6406\tn12461466\t6379\tscilla, squill\n6407\tn12454159\t6379\ttulip\n6408\tn12431434\t6379\talliaceous plant\n6409\tn12451240\t6395\tfawn lily, Erythronium californicum\n6410\tn12451399\t6395\tglacier lily, snow lily, Erythronium grandiflorum\n6411\tn12450840\t6395\tyellow adder's tongue, trout lily, amberbell, Erythronium americanum\n6412\tn12428076\t6396\tTurk's-cap, martagon, Lilium martagon\n6413\tn12428747\t6396\tTurk's-cap, Turk's cap-lily, Lilium superbum\n6414\tn12427566\t6396\ttiger lily, devil lily, kentan, Lilium lancifolium\n6415\tn12427184\t6396\ttiger lily, leopard lily, pine lily, Lilium catesbaei\n6416\tn12426623\t6396\tmountain lily, Lilium auratum\n6417\tn12427757\t6396\tEaster lily, Bermuda lily, white trumpet lily, Lilium longiflorum\n6418\tn12461109\t6398\ttassel hyacinth, Muscari comosum\n6419\tn12460957\t6398\tcommon grape hyacinth, Muscari neglectum\n6420\tn12454705\t6407\tTulipa gesneriana\n6421\tn12454949\t6407\tDarwin tulip\n6422\tn12435777\t6408\tgarlic chive, Chinese chive, Oriental garlic, Allium tuberosum\n6423\tn12435649\t6408\twild garlic, wood garlic, Ramsons, Allium ursinum\n6424\tn11819509\t5197\tHottentot fig, Hottentot's fig, sour fig, Carpobrotus edulis, Mesembryanthemum edule\n6425\tn11819912\t5197\tlivingstone daisy, Dorotheanthus bellidiformis\n6426\tn11842204\t5197\tcactus\n6427\tn11852028\t6426\tnopal, Opuntia lindheimeri\n6428\tn11851258\t6426\tnopal\n6429\tn11847169\t6426\tbarrel cactus\n6430\tn11853813\t6426\tnight-blooming cereus\n6431\tn11848479\t6426\tnight-blooming cereus\n6432\tn11844892\t6426\tnight-blooming cereus\n6433\tn11851839\t6426\tcholla, Opuntia cholla\n6434\tn11845557\t6426\techinocactus, barrel cactus\n6435\tn11849871\t6426\tmammillaria\n6436\tn11849983\t6426\tfeather ball, Mammillaria plumosa\n6437\tn11851578\t6426\tprickly pear, prickly pear cactus\n6438\tn11854479\t6426\tcrab cactus, Thanksgiving cactus, Zygocactus truncatus, Schlumbergera truncatus\n6439\tn11844371\t6426\tsaguaro, sahuaro, Carnegiea gigantea\n6440\tn11853356\t6426\tChristmas cactus, Schlumbergera buckleyi, Schlumbergera baridgesii\n6441\tn11845793\t6434\thedgehog cactus\n6442\tn11845913\t6434\tgolden barrel cactus, Echinocactus grusonii\n6443\tn11784126\t5185\tflamingo flower, flamingo plant, Anthurium andraeanum, Anthurium scherzerianum\n6444\tn11783920\t5185\tanthurium, tailflower, tail-flower\n6445\tn12832315\t5185\tgloxinia\n6446\tn11723770\t5186\tbaneberry, cohosh, herb Christopher\n6447\tn11724109\t5186\tred baneberry, redberry, red-berry, snakeberry, Actaea rubra\n6448\tn12766869\t5186\tpoison ivy, markweed, poison mercury, poison oak, Toxicodendron radicans, Rhus radicans\n6449\tn12455950\t5186\tgloriosa, glory lily, climbing lily, creeping lily, Gloriosa superba\n6450\tn11723227\t5186\tmonkshood, helmetflower, helmet flower, Aconitum napellus\n6451\tn12757816\t5186\tAmerican holly, Christmas holly\n6452\tn11773987\t5186\toleander, rose bay, Nerium oleander\n6453\tn12766595\t5186\tpoison ash, poison dogwood, poison sumac, Toxicodendron vernix, Rhus vernix\n6454\tn01324610\t5174\therbivore\n6455\tn02153109\t5174\tbig game\n6456\tn01323599\t5174\tthoroughbred, purebred, pureblood\n6457\tn01314781\t5174\tcreepy-crawly\n6458\tn01321579\t5174\tyoung, offspring\n6459\tn01317541\t5174\tdomestic animal, domesticated animal\n6460\tn01318894\t5174\tpet\n6461\tn01314663\t5174\tcritter\n6462\tn02311060\t5174\tlarva\n6463\tn01317916\t5174\tfeeder\n6464\tn01321230\t5174\tmale\n6465\tn01314388\t5174\tpest\n6466\tn02075612\t5174\tomnivore\n6467\tn02152740\t5174\tpredator, predatory animal\n6468\tn01466257\t5174\tchordate\n6469\tn01316949\t5174\twork animal\n6470\tn01905661\t5174\tinvertebrate\n6471\tn01320872\t5174\tfemale\n6472\tn01319467\t5174\tmarine animal, marine creature, sea animal, sea creature\n6473\tn01316422\t5174\tscavenger\n6474\tn02157206\t5174\thexapod\n6475\tn10300303\t5174\tmate\n6476\tn02152881\t5174\tprey, quarry\n6477\tn01324431\t5174\tcarnivore\n6478\tn01321854\t6458\tyoung mammal\n6479\tn01321770\t6458\torphan\n6480\tn01956344\t6458\tspat\n6481\tn01613615\t6458\tyoung bird\n6482\tn01318279\t6458\thatchling\n6483\tn02376542\t6478\tfoal\n6484\tn02122948\t6478\tkitten, kitty\n6485\tn01888045\t6478\tcalf\n6486\tn01322343\t6478\tpup, whelp\n6487\tn01887896\t6478\tcalf\n6488\tn02412440\t6478\tlamb\n6489\tn01322221\t6478\tbaby\n6490\tn01322604\t6478\tpuppy\n6491\tn01323261\t6478\tsuckling\n6492\tn01322685\t6478\tcub, young carnivore\n6493\tn02395694\t6478\tpiglet, piggy, shoat, shote\n6494\tn01504344\t6481\tnestling, baby bird\n6495\tn01504179\t6481\tfledgling, fledgeling\n6496\tn01318381\t6459\thead\n6497\tn02122580\t6459\tstray\n6498\tn01317813\t6459\tfeeder\n6499\tn02469472\t6462\ttadpole, polliwog, pollywog\n6500\tn02309337\t6462\tcaterpillar\n6501\tn02311617\t6462\tnymph\n6502\tn02264232\t6462\tdoodlebug, ant lion, antlion\n6503\tn02299157\t6500\ttobacco hornworm, tomato worm, Manduca sexta\n6504\tn02310585\t6500\tcabbageworm, Pieris rapae\n6505\tn02299505\t6500\ttomato hornworm, potato worm, Manduca quinquemaculata\n6506\tn02302620\t6500\tsilkworm, giant silkworm, wild wilkworm\n6507\tn02295390\t6500\tcutworm\n6508\tn02310717\t6500\twoolly bear, woolly bear caterpillar\n6509\tn02288268\t6500\tmeasuring worm, inchworm, looper\n6510\tn02297442\t6500\tarmyworm, army worm, Pseudaletia unipuncta\n6511\tn02300797\t6500\tsilkworm\n6512\tn02285801\t6500\ttussock caterpillar\n6513\tn02307325\t6500\ttent caterpillar\n6514\tn02376791\t6464\tcolt\n6515\tn02377063\t6464\tridgeling, ridgling, ridgel, ridgil\n6516\tn01323355\t6464\tsire\n6517\tn01469103\t6468\tsea squirt\n6518\tn01468712\t6468\tascidian\n6519\tn01471682\t6468\tvertebrate, craniate\n6520\tn01473806\t6519\taquatic vertebrate\n6521\tn01627424\t6519\tamphibian\n6522\tn01861778\t6519\tmammal, mammalian\n6523\tn09828216\t6519\tbaby\n6524\tn01459791\t6519\tfetus, foetus\n6525\tn02156871\t6519\tquadruped\n6526\tn01661091\t6519\treptile, reptilian\n6527\tn01503061\t6519\tbird\n6528\tn02512053\t6520\tfish\n6529\tn01477525\t6520\tlamprey, lamprey eel, lamper eel\n6530\tn02528163\t6528\tteleost fish, teleost, teleostan\n6531\tn02512938\t6528\tfood fish\n6532\tn01482071\t6528\telasmobranch, selachian\n6533\tn02638596\t6530\tganoid, ganoid fish\n6534\tn01457852\t6530\ttrumpetfish, Aulostomus maculatus\n6535\tn01455778\t6530\tpipefish, needlefish\n6536\tn01456756\t6530\tseahorse, sea horse\n6537\tn02552171\t6530\tspiny-finned fish, acanthopterygian\n6538\tn01428580\t6530\tsoft-finned fish, malacopterygian\n6539\tn02549989\t6530\tneedlefish, gar, billfish\n6540\tn02640857\t6533\tbeluga, hausen, white sturgeon, Acipenser huso\n6541\tn02641379\t6533\tgar, garfish, garpike, billfish, Lepisosteus osseus\n6542\tn02639087\t6533\tbowfin, grindle, dogfish, Amia calva\n6543\tn02639605\t6533\tpaddlefish, duckbill, Polyodon spathula\n6544\tn02640242\t6533\tsturgeon\n6545\tn02554730\t6537\tpercoid fish, percoid, percoidean\n6546\tn02618827\t6537\tdragonet\n6547\tn02549248\t6537\tfrogfish\n6548\tn02603317\t6537\tbarracuda\n6549\tn01451426\t6537\tsoldierfish, soldier-fish\n6550\tn02548247\t6537\tgoosefish, angler, anglerfish, angler fish, monkfish, lotte, allmouth, Lophius Americanus\n6551\tn02642107\t6537\tscorpaenoid, scorpaenoid fish\n6552\tn02657368\t6537\tflatfish\n6553\tn02603540\t6537\tgreat barracuda, Sphyraena barracuda\n6554\tn02652668\t6537\tplectognath, plectognath fish\n6555\tn02560110\t6545\tsnook\n6556\tn02556846\t6545\tperch\n6557\tn02555863\t6545\tperch\n6558\tn02581957\t6545\tdolphinfish, dolphin, mahimahi\n6559\tn02564270\t6545\tfreshwater bass\n6560\tn02623445\t6545\tscombroid, scombroid fish\n6561\tn02565573\t6545\tbass\n6562\tn02610664\t6545\tparrotfish, polly fish, pollyfish\n6563\tn02590702\t6545\tsea bream, bream\n6564\tn02588286\t6545\tgrunt\n6565\tn02620167\t6545\tflathead\n6566\tn02573704\t6545\tbluefish, Pomatomus saltatrix\n6567\tn02576223\t6545\tcarangid fish, carangid\n6568\tn02606384\t6545\tdamselfish, demoiselle\n6569\tn02605316\t6545\tbutterfly fish\n6570\tn02619550\t6545\tmudskipper, mudspringer\n6571\tn02561108\t6545\tpike\n6572\tn02619165\t6545\tgoby, gudgeon\n6573\tn02610066\t6545\ttautog, blackfish, Tautoga onitis\n6574\tn02562315\t6545\tsunfish, centrarchid\n6575\tn02586543\t6545\tsnapper\n6576\tn02593019\t6545\tsnapper, Chrysophrys auratus\n6577\tn02594250\t6545\tsciaenid fish, sciaenid\n6578\tn02616851\t6545\twolffish, wolf fish, catfish\n6579\tn02585872\t6545\tcichlid, cichlid fish\n6580\tn02607862\t6545\twrasse\n6581\tn02557182\t6556\tyellow perch, Perca flavescens\n6582\tn02557318\t6556\tEuropean perch, Perca fluviatilis\n6583\tn02557749\t6556\twalleye, walleyed pike, jack salmon, dory, Stizostedion vitreum\n6584\tn02624167\t6560\tmackerel\n6585\tn02628062\t6560\tskipjack, Atlantic bonito, Sarda sarda\n6586\tn02631475\t6560\tblack marlin, Makaira mazara, Makaira marlina\n6587\tn02630281\t6560\tsailfish\n6588\tn02631041\t6560\tmarlin\n6589\tn02629230\t6560\tbonito, oceanic bonito, Katsuwonus pelamis\n6590\tn02626762\t6560\ttuna, tunny\n6591\tn02625258\t6584\twahoo, Acanthocybium solandri\n6592\tn02625612\t6584\tSpanish mackerel\n6593\tn02624807\t6584\tSpanish mackerel, Scomber colias\n6594\tn02626265\t6592\tcero, pintado, kingfish, Scomberomorus regalis\n6595\tn02625851\t6592\tking mackerel, cavalla, cero, Scomberomorus cavalla\n6596\tn02627292\t6590\tbluefin, bluefin tuna, horse mackerel, Thunnus thynnus\n6597\tn02627532\t6590\tyellowfin, yellowfin tuna, Thunnus albacares\n6598\tn02576575\t6567\tjack\n6599\tn02579928\t6567\tpermit, Trachinotus falcatus\n6600\tn02580336\t6567\tscad\n6601\tn02576906\t6598\tcrevalle jack, jack crevalle, Caranx hippos\n6602\tn02579303\t6598\tkingfish, Seriola grandis\n6603\tn02578771\t6598\tamberjack, amberfish\n6604\tn02578928\t6598\tyellowtail, Seriola dorsalis\n6605\tn02580679\t6600\thorse mackerel, jack mackerel, Spanish mackerel, saurel, Trachurus symmetricus\n6606\tn02580830\t6600\thorse mackerel, saurel, Trachurus trachurus\n6607\tn02607201\t6568\tclown anemone fish, Amphiprion percula\n6608\tn02607470\t6568\tsergeant major, Abudefduf saxatilis\n6609\tn02607072\t6568\tanemone fish\n6610\tn02605703\t6569\tchaetodon\n6611\tn02606052\t6569\trock beauty, Holocanthus tricolor\n6612\tn02605936\t6569\tangelfish\n6613\tn02561381\t6571\tnorthern pike, Esox lucius\n6614\tn02561661\t6571\tpickerel\n6615\tn02561514\t6571\tmuskellunge, Esox masquinongy\n6616\tn02564720\t6574\tblack bass\n6617\tn02563648\t6574\tpumpkinseed, Lepomis gibbosus\n6618\tn02563182\t6574\tfreshwater bream, bream\n6619\tn02563792\t6574\tbluegill, Lepomis macrochirus\n6620\tn02562796\t6574\tcrappie\n6621\tn02565072\t6616\tsmallmouth, smallmouth bass, smallmouthed bass, smallmouth black bass, smallmouthed black bass, Micropterus dolomieu\n6622\tn02565324\t6616\tlargemouth, largemouth bass, largemouthed bass, largemouth black bass, largemouthed black bass, Micropterus salmoides\n6623\tn02599052\t6577\tsea trout\n6624\tn02596381\t6577\tcroaker\n6625\tn02597608\t6577\tkingfish\n6626\tn02596067\t6577\tmulloway, jewfish, Sciaena antarctica\n6627\tn02595702\t6577\tred drum, channel bass, redfish, Sciaenops ocellatus\n6628\tn02598573\t6624\twhite croaker, chenfish, kingfish, Genyonemus lineatus\n6629\tn02598878\t6624\twhite croaker, queenfish, Seriphus politus\n6630\tn02642644\t6551\tscorpaenid, scorpaenid fish\n6631\tn02649546\t6551\tflathead\n6632\tn02643112\t6630\tscorpionfish, scorpion fish, sea scorpion\n6633\tn02643566\t6630\tlionfish\n6634\tn02643836\t6630\tstonefish, Synanceja verrucosa\n6635\tn02644113\t6630\trockfish\n6636\tn02658531\t6552\tplaice, Pleuronectes platessa\n6637\tn02657694\t6552\tflounder\n6638\tn02660208\t6552\thalibut, holibut\n6639\tn02654745\t6554\tcowfish, Lactophrys quadricornis\n6640\tn02654425\t6554\tboxfish, trunkfish\n6641\tn02656670\t6554\tocean sunfish, sunfish, mola, headfish\n6642\tn02655020\t6554\tpuffer, pufferfish, blowfish, globefish\n6643\tn02655523\t6554\tspiny puffer\n6644\tn02653145\t6554\ttriggerfish\n6645\tn02656032\t6643\tballoonfish, Diodon holocanthus\n6646\tn02655848\t6643\tporcupinefish, porcupine fish, Diodon hystrix\n6647\tn02541687\t6538\ttarpon, Tarpon atlanticus\n6648\tn02542432\t6538\tbonefish, Albula vulpes\n6649\tn02524202\t6538\tpollack, pollock, Pollachius pollachius\n6650\tn02533834\t6538\tanchovy\n6651\tn02543565\t6538\tlizardfish, snakefish, snake-fish\n6652\tn02517442\t6538\tcatfish, siluriform fish\n6653\tn01438208\t6538\tcypriniform fish\n6654\tn02526121\t6538\teel\n6655\tn02529772\t6538\tclupeid fish, clupeid\n6656\tn02518324\t6652\tEuropean catfish, sheatfish, Silurus glanis\n6657\tn02520147\t6652\tflathead catfish, mudcat, goujon, shovelnose catfish, spoonbill catfish, Pylodictus olivaris\n6658\tn02519686\t6652\tchannel catfish, channel cat, Ictalurus punctatus\n6659\tn02519862\t6652\tblue catfish, blue cat, blue channel catfish, blue channel cat\n6660\tn02583567\t6653\tcharacin, characin fish, characid\n6661\tn01444339\t6653\telectric eel, Electrophorus electric\n6662\tn01446589\t6653\tcyprinodont\n6663\tn01438581\t6653\tloach\n6664\tn01439121\t6653\tcyprinid, cyprinid fish\n6665\tn01448951\t6653\ttopminnow, poeciliid fish, poeciliid, live-bearer\n6666\tn02584449\t6660\tpiranha, pirana, caribe\n6667\tn02584145\t6660\tcardinal tetra, Paracheirodon axelrodi\n6668\tn02583890\t6660\ttetra\n6669\tn01446760\t6662\tkillifish\n6670\tn01447331\t6662\tstriped killifish, mayfish, may fish, Fundulus majalis\n6671\tn01448594\t6662\tguppy, rainbow fish, Lebistes reticulatus\n6672\tn01448291\t6662\tswordtail, helleri, topminnow, Xyphophorus helleri\n6673\tn01439514\t6664\tcarp\n6674\tn01442972\t6664\tminnow, Phoxinus phoxinus\n6675\tn01440764\t6664\ttench, Tinca tinca\n6676\tn01443831\t6664\tcrucian carp, Carassius carassius, Carassius vulgaris\n6677\tn01443537\t6664\tgoldfish, Carassius auratus\n6678\tn01443243\t6664\tgudgeon, Gobio gobio\n6679\tn01449712\t6665\tplaty, Platypoecilus maculatus\n6680\tn01449374\t6665\tmosquitofish, Gambusia affinis\n6681\tn02527622\t6654\tconger, conger eel\n6682\tn02527057\t6654\ttuna, Anguilla sucklandii\n6683\tn02527271\t6654\tmoray, moray eel\n6684\tn02532602\t6655\tsardine\n6685\tn02533209\t6655\tpilchard, sardine, Sardina pilchardus\n6686\tn02566834\t6531\tsea bass\n6687\tn02537085\t6531\ttrout\n6688\tn02534734\t6531\tsalmon\n6689\tn02514041\t6531\tbarracouta, snoek\n6690\tn02568959\t6686\tgrouper\n6691\tn02568087\t6686\tstriped bass, striper, Roccus saxatilis, rockfish\n6692\tn02570164\t6690\tjewfish, Mycteroperca bonaci\n6693\tn02569484\t6690\thind\n6694\tn02537716\t6687\tsea trout\n6695\tn02538216\t6687\tbrook trout, speckled trout, Salvelinus fontinalis\n6696\tn02537525\t6687\trainbow trout, Salmo gairdneri\n6697\tn02537319\t6687\tbrown trout, salmon trout, Salmo trutta\n6698\tn02538010\t6687\tlake trout, salmon trout, Salvelinus namaycush\n6699\tn02536456\t6688\tchinook, chinook salmon, king salmon, quinnat salmon, Oncorhynchus tshawytscha\n6700\tn02535537\t6688\tAtlantic salmon, Salmo salar\n6701\tn02535258\t6688\tredfish\n6702\tn02536864\t6688\tcoho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch\n6703\tn02535759\t6688\tlandlocked salmon, lake salmon\n6704\tn01482330\t6532\tshark\n6705\tn01495701\t6532\tray\n6706\tn01487506\t6704\tsand tiger, sand shark, Carcharias taurus, Odontaspis taurus\n6707\tn01495493\t6704\tangel shark, angelfish, Squatina squatina, monkfish\n6708\tn01486838\t6704\tnurse shark, Ginglymostoma cirratum\n6709\tn01488918\t6704\trequiem shark\n6710\tn01492357\t6704\tsmooth dogfish\n6711\tn01494475\t6704\thammerhead, hammerhead shark\n6712\tn01483522\t6704\tmackerel shark\n6713\tn01488038\t6704\twhale shark, Rhincodon typus\n6714\tn01489501\t6709\tbull shark, cub shark, Carcharhinus leucas\n6715\tn01491006\t6709\tblue shark, great blue shark, Prionace glauca\n6716\tn01489709\t6709\tsandbar shark, Carcharhinus plumbeus\n6717\tn01489920\t6709\tblacktip shark, sandbar shark, Carcharhinus limbatus\n6718\tn01490112\t6709\twhitetip shark, oceanic whitetip shark, white-tipped shark, Carcharinus longimanus\n6719\tn01491361\t6709\ttiger shark, Galeocerdo cuvieri\n6720\tn01490670\t6709\tlemon shark, Negaprion brevirostris\n6721\tn01493146\t6710\twhitetip shark, reef whitetip shark, Triaenodon obseus\n6722\tn01492569\t6710\tsmoothhound, smoothhound shark, Mustelus mustelus\n6723\tn01484850\t6712\tgreat white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias\n6724\tn01484097\t6712\tmako, mako shark\n6725\tn01483830\t6712\tporbeagle, Lamna nasus\n6726\tn01498041\t6705\tstingray\n6727\tn01496331\t6705\telectric ray, crampfish, numbfish, torpedo\n6728\tn01499396\t6705\tspotted eagle ray, spotted ray, Aetobatus narinari\n6729\tn01500476\t6705\tAtlantic manta, Manta birostris\n6730\tn01500091\t6705\tmanta, manta ray, devilfish\n6731\tn01501160\t6705\tskate\n6732\tn01498989\t6705\teagle ray\n6733\tn01629276\t6521\tsalamander\n6734\tn01639765\t6521\tfrog, toad, toad frog, anuran, batrachian, salientian\n6735\tn01629962\t6733\tspotted salamander, fire salamander, Salamandra maculosa\n6736\tn01630284\t6733\tnewt, triton\n6737\tn01629819\t6733\tEuropean fire salamander, Salamandra salamandra\n6738\tn01637615\t6733\tslender salamander, worm salamander\n6739\tn01632047\t6733\tambystomid, ambystomid salamander\n6740\tn01631663\t6736\teft\n6741\tn01630670\t6736\tcommon newt, Triturus vulgaris\n6742\tn01630901\t6736\tred eft, Notophthalmus viridescens\n6743\tn01632458\t6739\tspotted salamander, Ambystoma maculatum\n6744\tn01632777\t6739\taxolotl, mud puppy, Ambystoma mexicanum\n6745\tn01632601\t6739\ttiger salamander, Ambystoma tigrinum\n6746\tn01645776\t6734\ttrue toad\n6747\tn01640846\t6734\ttrue frog, ranid\n6748\tn01644900\t6734\ttailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui\n6749\tn01643896\t6734\tcrapaud, South American bullfrog, Leptodactylus pentadactylus\n6750\tn01650167\t6734\ttree toad, tree frog, tree-frog\n6751\tn01644373\t6734\ttree frog, tree-frog\n6752\tn01646648\t6746\tnatterjack, Bufo calamita\n6753\tn01646902\t6746\tEurasian green toad, Bufo viridis\n6754\tn01646292\t6746\tbufo\n6755\tn01646802\t6746\tAmerican toad, Bufo americanus\n6756\tn01646388\t6746\tagua, agua toad, Bufo marinus\n6757\tn01647640\t6746\twestern toad, Bufo boreas\n6758\tn01646555\t6746\tEuropean toad, Bufo bufo\n6759\tn01642539\t6747\tgrass frog, Rana temporaria\n6760\tn01641206\t6747\twood-frog, wood frog, Rana sylvatica\n6761\tn01641577\t6747\tbullfrog, Rana catesbeiana\n6762\tn01641391\t6747\tleopard frog, spring frog, Rana pipiens\n6763\tn01642257\t6747\tpickerel frog, Rana palustris\n6764\tn01641739\t6747\tgreen frog, spring frog, Rana clamitans\n6765\tn01650690\t6750\tspring peeper, Hyla crucifer\n6766\tn01652026\t6750\tchorus frog\n6767\tn01886756\t6522\tplacental, placental mammal, eutherian, eutherian mammal\n6768\tn01871265\t6522\ttusker\n6769\tn01871875\t6522\tmonotreme, egg-laying mammal\n6770\tn01874434\t6522\tmarsupial, pouched mammal\n6771\tn01862399\t6522\tfemale mammal\n6772\tn02082791\t6767\taardvark, ant bear, anteater, Orycteropus afer\n6773\tn01887474\t6767\tlivestock, stock, farm animal\n6774\tn01889074\t6767\tinsectivore\n6775\tn02372584\t6767\thyrax, coney, cony, dassie, das\n6776\tn01888411\t6767\tdoe\n6777\tn02453611\t6767\tedentate\n6778\tn02430559\t6767\tstag\n6779\tn01887623\t6767\tbull\n6780\tn02469914\t6767\tprimate\n6781\tn02075296\t6767\tcarnivore\n6782\tn02139199\t6767\tbat, chiropteran\n6783\tn02062017\t6767\taquatic mammal\n6784\tn02323449\t6767\tlagomorph, gnawing mammal\n6785\tn02372952\t6767\trock hyrax, rock rabbit, Procavia capensis\n6786\tn01888181\t6767\tyearling\n6787\tn02329401\t6767\trodent, gnawer\n6788\tn01887787\t6767\tcow\n6789\tn02453108\t6767\tpachyderm\n6790\tn01888264\t6767\tbuck\n6791\tn02461830\t6767\tpangolin, scaly anteater, anteater\n6792\tn02370806\t6767\tungulate, hoofed mammal\n6793\tn01891633\t6774\tshrew, shrewmouse\n6794\tn01893825\t6774\thedgehog, Erinaceus europaeus, Erinaceus europeaeus\n6795\tn02454794\t6777\tpeba, nine-banded armadillo, Texas armadillo, Dasypus novemcinctus\n6796\tn02456962\t6777\tsloth, tree sloth\n6797\tn02454379\t6777\tarmadillo\n6798\tn02460009\t6777\tanteater, New World anteater\n6799\tn02458135\t6796\ttwo-toed sloth, unau, unai, Choloepus hoffmanni\n6800\tn02457945\t6796\ttwo-toed sloth, unau, unai, Choloepus didactylus\n6801\tn02457408\t6796\tthree-toed sloth, ai, Bradypus tridactylus\n6802\tn02460451\t6798\tant bear, giant anteater, great anteater, tamanoir, Myrmecophaga jubata\n6803\tn02461128\t6798\ttamandua, tamandu, lesser anteater, Tamandua tetradactyla\n6804\tn02470238\t6780\tsimian\n6805\tn02501583\t6780\ttarsier\n6806\tn02472293\t6780\thomo, man, human being, human\n6807\tn02470325\t6780\tape\n6808\tn02496913\t6780\tlemur\n6809\tn02484322\t6780\tmonkey\n6810\tn02475669\t6806\tHomo sapiens sapiens, modern man\n6811\tn02474777\t6806\tHomo sapiens\n6812\tn02475078\t6806\tNeandertal man, Neanderthal man, Neandertal, Neanderthal, Homo sapiens neanderthalensis\n6813\tn02470899\t6807\tanthropoid ape\n6814\tn02483092\t6813\tlesser ape\n6815\tn02480153\t6813\tgreat ape, pongid\n6816\tn02483708\t6814\tsiamang, Hylobates syndactylus, Symphalangus syndactylus\n6817\tn02483362\t6814\tgibbon, Hylobates lar\n6818\tn02481823\t6815\tchimpanzee, chimp, Pan troglodytes\n6819\tn02480495\t6815\torangutan, orang, orangutang, Pongo pygmaeus\n6820\tn02480855\t6815\tgorilla, Gorilla gorilla\n6821\tn02482650\t6818\tpygmy chimpanzee, bonobo, Pan paniscus\n6822\tn02482474\t6818\tcentral chimpanzee, Pan troglodytes troglodytes\n6823\tn02481103\t6820\twestern lowland gorilla, Gorilla gorilla gorilla\n6824\tn02481366\t6820\tmountain gorilla, Gorilla gorilla beringei\n6825\tn02481500\t6820\tsilverback\n6826\tn02500267\t6808\tindri, indris, Indri indri, Indri brevicaudatus\n6827\tn02497673\t6808\tMadagascar cat, ring-tailed lemur, Lemur catta\n6828\tn02499316\t6808\tpotto, kinkajou, Perodicticus potto\n6829\tn02499808\t6808\tgalago, bushbaby, bush baby\n6830\tn02499022\t6808\tslow loris, Nycticebus tardigradua, Nycticebus pygmaeus\n6831\tn02484473\t6809\tOld World monkey, catarrhine\n6832\tn02489589\t6809\tNew World monkey, platyrrhine, platyrrhinian\n6833\tn02486410\t6831\tbaboon\n6834\tn02485536\t6831\tvervet, vervet monkey, Cercopithecus aethiops pygerythrus\n6835\tn02489166\t6831\tproboscis monkey, Nasalis larvatus\n6836\tn02488702\t6831\tcolobus, colobus monkey\n6837\tn02486261\t6831\tpatas, hussar monkey, Erythrocebus patas\n6838\tn02487347\t6831\tmacaque\n6839\tn02484975\t6831\tguenon, guenon monkey\n6840\tn02488291\t6831\tlangur\n6841\tn02486657\t6833\tchacma, chacma baboon, Papio ursinus\n6842\tn02486908\t6833\tmandrill, Mandrillus sphinx\n6843\tn02487847\t6838\tBarbary ape, Macaca sylvana\n6844\tn02487547\t6838\trhesus, rhesus monkey, Macaca mulatta\n6845\tn02493793\t6832\tspider monkey, Ateles geoffroyi\n6846\tn02490219\t6832\tmarmoset\n6847\tn02494079\t6832\tsquirrel monkey, Saimiri sciureus\n6848\tn02493509\t6832\ttiti, titi monkey\n6849\tn02492035\t6832\tcapuchin, ringtail, Cebus capucinus\n6850\tn02492660\t6832\thowler monkey, howler\n6851\tn02491107\t6846\ttamarin, lion monkey, lion marmoset, leoncita\n6852\tn02490811\t6846\tpygmy marmoset, Cebuella pygmaea\n6853\tn02507649\t6781\tprocyonid\n6854\tn02120997\t6781\tfeline, felid\n6855\tn02134971\t6781\tviverrine, viverrine mammal\n6856\tn02083346\t6781\tcanine, canid\n6857\tn02441326\t6781\tmusteline mammal, mustelid, musteline\n6858\tn02131653\t6781\tbear\n6859\tn02509515\t6853\tcoati, coati-mondi, coati-mundi, coon cat, Nasua narica\n6860\tn02508213\t6853\tcommon raccoon, common racoon, coon, ringtail, Procyon lotor\n6861\tn02509815\t6853\tlesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens\n6862\tn02508021\t6853\traccoon, racoon\n6863\tn02509197\t6853\tkinkajou, honey bear, potto, Potos flavus, Potos caudivolvulus\n6864\tn02510455\t6853\tgiant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca\n6865\tn02127808\t6854\tbig cat, cat\n6866\tn02121620\t6854\tcat, true cat\n6867\tn02128925\t6865\tjaguar, panther, Panthera onca, Felis onca\n6868\tn02129604\t6865\ttiger, Panthera tigris\n6869\tn02128385\t6865\tleopard, Panthera pardus\n6870\tn02130308\t6865\tcheetah, chetah, Acinonyx jubatus\n6871\tn02129165\t6865\tlion, king of beasts, Panthera leo\n6872\tn02128757\t6865\tsnow leopard, ounce, Panthera uncia\n6873\tn02129923\t6868\ttigress\n6874\tn02129837\t6868\tBengal tiger\n6875\tn01323068\t6868\ttiger cub\n6876\tn02129463\t6871\tlioness\n6877\tn01322898\t6871\tlion cub\n6878\tn02121808\t6866\tdomestic cat, house cat, Felis domesticus, Felis catus\n6879\tn02124623\t6866\twildcat\n6880\tn02122878\t6878\ttabby, queen\n6881\tn02123159\t6878\ttiger cat\n6882\tn02123045\t6878\ttabby, tabby cat\n6883\tn02123242\t6878\ttortoiseshell, tortoiseshell-cat, calico cat\n6884\tn02124484\t6878\tManx, Manx cat\n6885\tn02124075\t6878\tEgyptian cat\n6886\tn02124313\t6878\tAbyssinian, Abyssinian cat\n6887\tn02122298\t6878\tkitty, kitty-cat, puss, pussy, pussycat\n6888\tn02123478\t6878\tAngora, Angora cat\n6889\tn02123394\t6878\tPersian cat\n6890\tn02123917\t6878\tBurmese cat\n6891\tn02123597\t6878\tSiamese cat, Siamese\n6892\tn02122510\t6878\talley cat\n6893\tn02122725\t6878\ttom, tomcat\n6894\tn02122430\t6878\tmouser\n6895\tn02126640\t6879\tmargay, margay cat, Felis wiedi\n6896\tn02125494\t6879\tocelot, panther cat, Felis pardalis\n6897\tn02127052\t6879\tlynx, catamount\n6898\tn02125311\t6879\tcougar, puma, catamount, mountain lion, painter, panther, Felis concolor\n6899\tn02125081\t6879\tEuropean wildcat, catamountain, Felis silvestris\n6900\tn02126139\t6879\tserval, Felis serval\n6901\tn02126787\t6879\tmanul, Pallas's cat, Felis manul\n6902\tn02125010\t6879\tsand cat\n6903\tn02127292\t6897\tcommon lynx, Lynx lynx\n6904\tn02127482\t6897\tbobcat, bay lynx, Lynx rufus\n6905\tn02127678\t6897\tcaracal, desert lynx, Lynx caracal\n6906\tn02127381\t6897\tCanada lynx, Lynx canadensis\n6907\tn02138441\t6855\tmeerkat, mierkat\n6908\tn02137015\t6855\tgenet, Genetta genetta\n6909\tn02137549\t6855\tmongoose\n6910\tn02138647\t6907\tslender-tailed meerkat, Suricata suricatta\n6911\tn02138777\t6907\tsuricate, Suricata tetradactyla\n6912\tn02084071\t6856\tdog, domestic dog, Canis familiaris\n6913\tn02115335\t6856\twild dog\n6914\tn02114100\t6856\twolf\n6915\tn02083672\t6856\tbitch\n6916\tn02115096\t6856\tjackal, Canis aureus\n6917\tn02118333\t6856\tfox\n6918\tn02117135\t6856\thyena, hyaena\n6919\tn02110958\t6912\tpug, pug-dog\n6920\tn02112826\t6912\tcorgi, Welsh corgi\n6921\tn02111500\t6912\tGreat Pyrenees\n6922\tn02112706\t6912\tBrabancon griffon\n6923\tn02113335\t6912\tpoodle, poodle dog\n6924\tn02084861\t6912\tcur, mongrel, mutt\n6925\tn02111129\t6912\tLeonberg\n6926\tn02112497\t6912\tgriffon, Brussels griffon, Belgian griffon\n6927\tn02110341\t6912\tdalmatian, coach dog, carriage dog\n6928\tn02084732\t6912\tpooch, doggie, doggy, barker, bow-wow\n6929\tn02111626\t6912\tspitz\n6930\tn02085374\t6912\ttoy dog, toy\n6931\tn02087122\t6912\thunting dog\n6932\tn02103406\t6912\tworking dog\n6933\tn02110806\t6912\tbasenji\n6934\tn02113978\t6912\tMexican hairless\n6935\tn02111277\t6912\tNewfoundland, Newfoundland dog\n6936\tn02085272\t6912\tlapdog\n6937\tn02113186\t6920\tCardigan, Cardigan Welsh corgi\n6938\tn02113023\t6920\tPembroke, Pembroke Welsh corgi\n6939\tn02113799\t6923\tstandard poodle\n6940\tn02113624\t6923\ttoy poodle\n6941\tn02113712\t6923\tminiature poodle\n6942\tn02112018\t6929\tPomeranian\n6943\tn02112350\t6929\tkeeshond\n6944\tn02112137\t6929\tchow, chow chow\n6945\tn02111889\t6929\tSamoyed, Samoyede\n6946\tn02086346\t6930\ttoy spaniel\n6947\tn02086240\t6930\tShih-Tzu\n6948\tn02087046\t6930\ttoy terrier\n6949\tn02085936\t6930\tMaltese dog, Maltese terrier, Maltese\n6950\tn02085782\t6930\tJapanese spaniel\n6951\tn02085620\t6930\tChihuahua\n6952\tn02086079\t6930\tPekinese, Pekingese, Peke\n6953\tn02086753\t6946\tKing Charles spaniel\n6954\tn02086646\t6946\tBlenheim spaniel\n6955\tn02086910\t6946\tpapillon\n6956\tn02092468\t6931\tterrier\n6957\tn02087394\t6931\tRhodesian ridgeback\n6958\tn02089468\t6931\tsausage dog, sausage hound\n6959\tn02098550\t6931\tsporting dog, gun dog\n6960\tn02087551\t6931\thound, hound dog\n6961\tn02089232\t6931\tdachshund, dachsie, badger dog\n6962\tn02096437\t6956\tDandie Dinmont, Dandie Dinmont terrier\n6963\tn02096756\t6956\tschnauzer\n6964\tn02095412\t6956\twirehair, wirehaired terrier, wire-haired terrier\n6965\tn02096051\t6956\tAiredale, Airedale terrier\n6966\tn02098286\t6956\tWest Highland white terrier\n6967\tn02093859\t6956\tKerry blue terrier\n6968\tn02094114\t6956\tNorfolk terrier\n6969\tn02093754\t6956\tBorder terrier\n6970\tn02094433\t6956\tYorkshire terrier\n6971\tn02095314\t6956\twire-haired fox terrier\n6972\tn02093647\t6956\tBedlington terrier\n6973\tn02097474\t6956\tTibetan terrier, chrysanthemum dog\n6974\tn02097658\t6956\tsilky terrier, Sydney silky\n6975\tn02098413\t6956\tLhasa, Lhasa apso\n6976\tn02097298\t6956\tScotch terrier, Scottish terrier, Scottie\n6977\tn02096177\t6956\tcairn, cairn terrier\n6978\tn02096585\t6956\tBoston bull, Boston terrier\n6979\tn02095050\t6956\tfox terrier\n6980\tn02096294\t6956\tAustralian terrier\n6981\tn02093056\t6956\tbullterrier, bull terrier\n6982\tn02094258\t6956\tNorwich terrier\n6983\tn02093991\t6956\tIrish terrier\n6984\tn02094562\t6956\trat terrier, ratter\n6985\tn02098105\t6956\tsoft-coated wheaten terrier\n6986\tn02097209\t6963\tstandard schnauzer\n6987\tn02097130\t6963\tgiant schnauzer\n6988\tn02097047\t6963\tminiature schnauzer\n6989\tn02095570\t6964\tLakeland terrier\n6990\tn02095727\t6964\tWelsh terrier\n6991\tn02095889\t6964\tSealyham terrier, Sealyham\n6992\tn02093256\t6981\tStaffordshire bullterrier, Staffordshire bull terrier\n6993\tn02093428\t6981\tAmerican Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier\n6994\tn02094721\t6984\tManchester terrier, black-and-tan terrier\n6995\tn02094931\t6984\ttoy Manchester, toy Manchester terrier\n6996\tn02098906\t6959\twater dog\n6997\tn02099997\t6959\tpointer, Spanish pointer\n6998\tn02098806\t6959\tbird dog\n6999\tn02100399\t6959\tsetter\n7000\tn02101108\t6959\tspaniel\n7001\tn02099029\t6959\tretriever\n7002\tn02100583\t6997\tvizsla, Hungarian pointer\n7003\tn02100236\t6997\tGerman short-haired pointer\n7004\tn02101006\t6999\tGordon setter\n7005\tn02100735\t6999\tEnglish setter\n7006\tn02100877\t6999\tIrish setter, red setter\n7007\tn02102318\t7000\tcocker spaniel, English cocker spaniel, cocker\n7008\tn02102605\t7000\twater spaniel\n7009\tn02101861\t7000\tspringer spaniel, springer\n7010\tn02101388\t7000\tBrittany spaniel\n7011\tn02101556\t7000\tclumber, clumber spaniel\n7012\tn02102480\t7000\tSussex spaniel\n7013\tn02102973\t7000\tIrish water spaniel\n7014\tn02102040\t7009\tEnglish springer, English springer spaniel\n7015\tn02102177\t7009\tWelsh springer spaniel\n7016\tn02099267\t7001\tflat-coated retriever\n7017\tn02099601\t7001\tgolden retriever\n7018\tn02099429\t7001\tcurly-coated retriever\n7019\tn02099849\t7001\tChesapeake Bay retriever\n7020\tn02099712\t7001\tLabrador retriever\n7021\tn02091635\t6960\totterhound, otter hound\n7022\tn02088466\t6960\tbloodhound, sleuthhound\n7023\tn02090475\t6960\twolfhound\n7024\tn02088238\t6960\tbasset, basset hound\n7025\tn02091244\t6960\tIbizan hound, Ibizan Podenco\n7026\tn02091467\t6960\tNorwegian elkhound, elkhound\n7027\tn02088839\t6960\tcoonhound\n7028\tn02091831\t6960\tSaluki, gazelle hound\n7029\tn02088094\t6960\tAfghan hound, Afghan\n7030\tn02089078\t6960\tblack-and-tan coonhound\n7031\tn02088632\t6960\tbluetick\n7032\tn02092002\t6960\tScottish deerhound, deerhound\n7033\tn02090379\t6960\tredbone\n7034\tn02089555\t6960\tfoxhound\n7035\tn02088364\t6960\tbeagle\n7036\tn02092339\t6960\tWeimaraner\n7037\tn02090827\t6960\tgreyhound\n7038\tn02090622\t7023\tborzoi, Russian wolfhound\n7039\tn02090721\t7023\tIrish wolfhound\n7040\tn02089973\t7034\tEnglish foxhound\n7041\tn02089867\t7034\tWalker hound, Walker foxhound\n7042\tn02091134\t7037\twhippet\n7043\tn02091032\t7037\tItalian greyhound\n7044\tn02109047\t6932\tGreat Dane\n7045\tn02103841\t6932\twatchdog, guard dog\n7046\tn02109961\t6932\tEskimo dog, husky\n7047\tn02108551\t6932\tTibetan mastiff\n7048\tn02109811\t6932\tsled dog, sledge dog\n7049\tn02109525\t6932\tSaint Bernard, St Bernard\n7050\tn02108915\t6932\tFrench bulldog\n7051\tn02106854\t6932\tpolice dog\n7052\tn02108672\t6932\tbulldog, English bulldog\n7053\tn02107420\t6932\tSennenhunde\n7054\tn02108422\t6932\tbull mastiff\n7055\tn02104523\t6932\tshepherd dog, sheepdog, sheep dog\n7056\tn02108089\t6932\tboxer\n7057\tn02108254\t6932\tmastiff\n7058\tn02104029\t7045\tkuvasz\n7059\tn02104280\t7045\thousedog\n7060\tn02106966\t7045\tpinscher\n7061\tn02104365\t7045\tschipperke\n7062\tn02107142\t7060\tDoberman, Doberman pinscher\n7063\tn02107312\t7060\tminiature pinscher\n7064\tn02110627\t7060\taffenpinscher, monkey pinscher, monkey dog\n7065\tn02110185\t7048\tSiberian husky\n7066\tn02110063\t7048\tmalamute, malemute, Alaskan malamute\n7067\tn02107574\t7053\tGreater Swiss Mountain dog\n7068\tn02108000\t7053\tEntleBucher\n7069\tn02107683\t7053\tBernese mountain dog\n7070\tn02107908\t7053\tAppenzeller\n7071\tn02104882\t7055\tBelgian sheepdog, Belgian shepherd\n7072\tn02105412\t7055\tkelpie\n7073\tn02105855\t7055\tShetland sheepdog, Shetland sheep dog, Shetland\n7074\tn02105505\t7055\tkomondor\n7075\tn02106166\t7055\tBorder collie\n7076\tn02106030\t7055\tcollie\n7077\tn02106550\t7055\tRottweiler\n7078\tn02105641\t7055\tOld English sheepdog, bobtail\n7079\tn02106662\t7055\tGerman shepherd, German shepherd dog, German police dog, alsatian\n7080\tn02105251\t7055\tbriard\n7081\tn02106382\t7055\tBouvier des Flandres, Bouviers des Flandres\n7082\tn02105056\t7071\tgroenendael\n7083\tn02105162\t7071\tmalinois\n7084\tn02116738\t6913\tAfrican hunting dog, hyena dog, Cape hunting dog, Lycaon pictus\n7085\tn02115641\t6913\tdingo, warrigal, warragal, Canis dingo\n7086\tn02115913\t6913\tdhole, Cuon alpinus\n7087\tn02114855\t6914\tcoyote, prairie wolf, brush wolf, Canis latrans\n7088\tn01322508\t6914\twolf pup, wolf cub\n7089\tn02114712\t6914\tred wolf, maned wolf, Canis rufus, Canis niger\n7090\tn02114548\t6914\twhite wolf, Arctic wolf, Canis lupus tundrarum\n7091\tn02114367\t6914\ttimber wolf, grey wolf, gray wolf, Canis lupus\n7092\tn02119022\t6917\tred fox, Vulpes vulpes\n7093\tn02119477\t6917\tred fox, Vulpes fulva\n7094\tn02119789\t6917\tkit fox, Vulpes macrotis\n7095\tn02120079\t6917\tArctic fox, white fox, Alopex lagopus\n7096\tn02120505\t6917\tgrey fox, gray fox, Urocyon cinereoargenteus\n7097\tn02119634\t6917\tkit fox, prairie fox, Vulpes velox\n7098\tn02117900\t6918\tspotted hyena, laughing hyena, Crocuta crocuta\n7099\tn02117512\t6918\tstriped hyena, Hyaena hyaena\n7100\tn02442845\t6857\tmink\n7101\tn02443484\t6857\tblack-footed ferret, ferret, Mustela nigripes\n7102\tn02446206\t6857\tstriped skunk, Mephitis mephitis\n7103\tn02450295\t6857\tpine marten, Martes martes\n7104\tn02445394\t6857\tsea otter, Enhydra lutris\n7105\tn02444819\t6857\totter\n7106\tn02441942\t6857\tweasel\n7107\tn02443114\t6857\tpolecat, fitch, foulmart, foumart, Mustela putorius\n7108\tn02449350\t6857\tglutton, Gulo gulo, wolverine\n7109\tn02445715\t6857\tskunk, polecat, wood pussy\n7110\tn02447366\t6857\tbadger\n7111\tn02443346\t6857\tferret\n7112\tn02445004\t7105\triver otter, Lutra canadensis\n7113\tn02445171\t7105\tEurasian otter, Lutra lutra\n7114\tn02134084\t6858\tice bear, polar bear, Ursus Maritimus, Thalarctos maritimus\n7115\tn02133161\t6858\tAmerican black bear, black bear, Ursus americanus, Euarctos americanus\n7116\tn01322983\t6858\tbear cub\n7117\tn02133704\t6858\tAsiatic black bear, black bear, Ursus thibetanus, Selenarctos thibetanus\n7118\tn02132136\t6858\tbrown bear, bruin, Ursus arctos\n7119\tn02134418\t6858\tsloth bear, Melursus ursinus, Ursus ursinus\n7120\tn02132580\t7118\tgrizzly, grizzly bear, silvertip, silver-tip, Ursus horribilis, Ursus arctos horribilis\n7121\tn02132788\t7118\tAlaskan brown bear, Kodiak bear, Kodiak, Ursus middendorffi, Ursus arctos middendorffi\n7122\tn02141306\t6782\tcarnivorous bat, microbat\n7123\tn02140049\t6782\tflying fox\n7124\tn02139671\t6782\tfruit bat, megabat\n7125\tn02146371\t7122\tbrown bat\n7126\tn02145424\t7122\tvespertilian bat, vespertilionid\n7127\tn02147591\t7126\tpallid bat, cave bat, Antrozous pallidus\n7128\tn02147947\t7126\tpipistrelle, pipistrel, Pipistrellus pipistrellus\n7129\tn02062430\t6783\tcetacean, cetacean mammal, blower\n7130\tn02073250\t6783\tsea cow, sirenian mammal, sirenian\n7131\tn02075927\t6783\tpinniped mammal, pinniped, pinnatiped\n7132\tn02062744\t7129\twhale\n7133\tn02066707\t7132\ttoothed whale\n7134\tn02063224\t7132\tbaleen whale, whalebone whale\n7135\tn02068974\t7133\tdolphin\n7136\tn02068541\t7133\tbottle-nosed whale, bottlenose whale, bottlenose, Hyperoodon ampullatus\n7137\tn02070430\t7135\tporpoise\n7138\tn02069412\t7135\tcommon dolphin, Delphinus delphis\n7139\tn02069701\t7135\tbottlenose dolphin, bottle-nosed dolphin, bottlenose\n7140\tn02071636\t7135\tpilot whale, black whale, common blackfish, blackfish, Globicephala melaena\n7141\tn02071294\t7135\tkiller whale, killer, orca, grampus, sea wolf, Orcinus orca\n7142\tn02072798\t7135\twhite whale, beluga, Delphinapterus leucas\n7143\tn02070174\t7139\tPacific bottlenose dolphin, Tursiops gilli\n7144\tn02069974\t7139\tAtlantic bottlenose dolphin, Tursiops truncatus\n7145\tn02066245\t7134\tgrey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus\n7146\tn02064338\t7134\trorqual, razorback\n7147\tn02064816\t7134\tblue whale, sulfur bottom, Balaenoptera musculus\n7148\tn02065407\t7146\tlesser rorqual, piked whale, minke whale, Balaenoptera acutorostrata\n7149\tn02065026\t7146\tfinback, finback whale, fin whale, common rorqual, Balaenoptera physalus\n7150\tn02073831\t7130\tmanatee, Trichechus manatus\n7151\tn02074367\t7130\tdugong, Dugong dugon\n7152\tn02081571\t7131\twalrus, seahorse, sea horse\n7153\tn02076196\t7131\tseal\n7154\tn02079389\t7153\tearless seal, true seal, hair seal\n7155\tn02076779\t7153\teared seal\n7156\tn02080415\t7154\telephant seal, sea elephant\n7157\tn02079851\t7154\tharbor seal, common seal, Phoca vitulina\n7158\tn02080146\t7154\tharp seal, Pagophilus groenlandicus\n7159\tn02077658\t7155\tfur seal\n7160\tn02077152\t7155\tfur seal\n7161\tn02077923\t7155\tsea lion\n7162\tn02078574\t7161\tCalifornia sea lion, Zalophus californianus, Zalophus californicus\n7163\tn02078738\t7161\tAustralian sea lion, Zalophus lobatus\n7164\tn02079005\t7161\tSteller sea lion, Steller's sea lion, Eumetopias jubatus\n7165\tn02328429\t6784\tpika, mouse hare, rock rabbit, coney, cony\n7166\tn02323902\t6784\tleporid, leporid mammal\n7167\tn02324045\t7166\trabbit, coney, cony\n7168\tn02326432\t7166\thare\n7169\tn02325722\t7167\teastern cottontail, Sylvilagus floridanus\n7170\tn02325366\t7167\twood rabbit, cottontail, cottontail rabbit\n7171\tn02324587\t7167\tbunny, bunny rabbit\n7172\tn02324850\t7167\tEuropean rabbit, Old World rabbit, Oryctolagus cuniculus\n7173\tn02324514\t7167\tlapin\n7174\tn02328150\t7167\tAngora, Angora rabbit\n7175\tn02324431\t7167\trabbit ears\n7176\tn02327842\t7168\tsnowshoe hare, snowshoe rabbit, varying hare, Lepus americanus\n7177\tn02326862\t7168\tEuropean hare, Lepus europaeus\n7178\tn02327028\t7168\tjackrabbit\n7179\tn02367492\t6787\tchinchilla, Chinchilla laniger\n7180\tn02331046\t6787\trat\n7181\tn02365480\t6787\tcapybara, capibara, Hydrochoerus hydrochaeris\n7182\tn02343320\t6787\tgolden hamster, Syrian hamster, Mesocricetus auratus\n7183\tn02341974\t6787\twater vole, water rat, Arvicola amphibius\n7184\tn02346627\t6787\tporcupine, hedgehog\n7185\tn02366959\t6787\tcoypu, nutria, Myocastor coypus\n7186\tn02339376\t6787\tvole, field mouse\n7187\tn02363005\t6787\tbeaver\n7188\tn02342885\t6787\thamster\n7189\tn02359324\t6787\tprairie dog, prairie marmot\n7190\tn02355227\t6787\tsquirrel\n7191\tn02361337\t6787\tmarmot\n7192\tn02359556\t6787\tblacktail prairie dog, Cynomys ludovicianus\n7193\tn02364520\t6787\tcavy\n7194\tn02343772\t6787\tgerbil, gerbille\n7195\tn02330245\t6787\tmouse\n7196\tn02338145\t6787\tmuskrat, musquash, Ondatra zibethica\n7197\tn02353861\t7180\tgopher, pocket gopher, pouched rat\n7198\tn02333546\t7180\tbrown rat, Norway rat, Rattus norvegicus\n7199\tn02333909\t7180\tblack rat, roof rat, Rattus rattus\n7200\tn02360282\t7190\tchipmunk\n7201\tn02358091\t7190\tground squirrel, gopher, spermophile\n7202\tn02359915\t7190\teastern chipmunk, hackee, striped squirrel, ground squirrel, Tamias striatus\n7203\tn02355477\t7190\ttree squirrel\n7204\tn02358890\t7201\trock squirrel, Citellus variegatus\n7205\tn02358390\t7201\tmantled ground squirrel, Citellus lateralis\n7206\tn02356381\t7203\teastern grey squirrel, eastern gray squirrel, cat squirrel, Sciurus carolinensis\n7207\tn02357111\t7203\tred squirrel, cat squirrel, Sciurus vulgaris\n7208\tn02356977\t7203\tblack squirrel\n7209\tn02357401\t7203\tAmerican red squirrel, spruce squirrel, red squirrel, Sciurus hudsonicus, Tamiasciurus hudsonicus\n7210\tn02356798\t7203\tfox squirrel, eastern fox squirrel, Sciurus niger\n7211\tn02361706\t7191\thoary marmot, whistler, whistling marmot, Marmota caligata\n7212\tn02361587\t7191\tgroundhog, woodchuck, Marmota monax\n7213\tn02364840\t7193\taperea, wild cavy, Cavia porcellus\n7214\tn02364673\t7193\tguinea pig, Cavia cobaya\n7215\tn02332755\t7195\tfield mouse, fieldmouse\n7216\tn02332156\t7195\thouse mouse, Mus musculus\n7217\tn02503517\t6789\telephant\n7218\tn02504458\t7217\tAfrican elephant, Loxodonta africana\n7219\tn02504013\t7217\tIndian elephant, Elephas maximus\n7220\tn02394477\t6792\teven-toed ungulate, artiodactyl, artiodactyl mammal\n7221\tn02373336\t6792\todd-toed ungulate, perissodactyl, perissodactyl mammal\n7222\tn02399000\t7220\truminant\n7223\tn02437136\t7220\tcamel\n7224\tn02395003\t7220\tswine\n7225\tn02437616\t7220\tllama\n7226\tn02438580\t7220\tvicuna, Vicugna vicugna\n7227\tn02397744\t7220\tcollared peccary, javelina, Tayassu angulatus, Tayassu tajacu, Peccari angulatus\n7228\tn02398521\t7220\thippopotamus, hippo, river horse, Hippopotamus amphibius\n7229\tn02397529\t7220\tpeccary, musk hog\n7230\tn02429456\t7222\tpronghorn, prongbuck, pronghorn antelope, American antelope, Antilocapra americana\n7231\tn02430045\t7222\tdeer, cervid\n7232\tn02401031\t7222\tbovid\n7233\tn02439033\t7222\tgiraffe, camelopard, Giraffa camelopardalis\n7234\tn02439398\t7222\tokapi, Okapia johnstoni\n7235\tn02434190\t7231\twoodland caribou, Rangifer caribou\n7236\tn02433925\t7231\tcaribou, reindeer, Greenland caribou, Rangifer tarandus\n7237\tn02433318\t7231\tfallow deer, Dama dama\n7238\tn02432983\t7231\telk, European elk, moose, Alces alces\n7239\tn02431337\t7231\thart, stag\n7240\tn02432511\t7231\tmule deer, burro deer, Odocoileus hemionus\n7241\tn02430830\t7231\tfawn\n7242\tn02431122\t7231\tred deer, elk, American elk, wapiti, Cervus elaphus\n7243\tn02434954\t7231\tmuntjac, barking deer\n7244\tn02432291\t7231\tVirginia deer, white tail, whitetail, white-tailed deer, whitetail deer, Odocoileus Virginianus\n7245\tn02431785\t7231\twapiti, elk, American elk, Cervus elaphus canadensis\n7246\tn02431976\t7231\tJapanese deer, sika, Cervus nipon, Cervus sika\n7247\tn02433546\t7231\troe deer, Capreolus capreolus\n7248\tn02432704\t7231\tblack-tailed deer, blacktail deer, blacktail, Odocoileus hemionus columbianus\n7249\tn02414578\t7232\twild sheep\n7250\tn02410509\t7232\tbison\n7251\tn02411206\t7232\tmusk ox, musk sheep, Ovibos moschatus\n7252\tn02407959\t7232\tOld World buffalo, buffalo\n7253\tn02402010\t7232\tbovine\n7254\tn02419796\t7232\tantelope\n7255\tn02411705\t7232\tsheep\n7256\tn02418064\t7232\tgoat antelope\n7257\tn02416519\t7232\tgoat, caprine animal\n7258\tn02416104\t7249\taoudad, arui, audad, Barbary sheep, maned sheep, Ammotragus lervia\n7259\tn02415435\t7249\tmountain sheep\n7260\tn02415253\t7249\tDall sheep, Dall's sheep, white sheep, Ovis montana dalli\n7261\tn02415577\t7259\tbighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis\n7262\tn02415829\t7259\tmouflon, moufflon, Ovis musimon\n7263\tn02410702\t7250\tAmerican bison, American buffalo, buffalo, Bison bison\n7264\tn02410900\t7250\twisent, aurochs, Bison bonasus\n7265\tn02408817\t7252\tcarabao\n7266\tn02408429\t7252\twater buffalo, water ox, Asiatic buffalo, Bubalus bubalis\n7267\tn02409508\t7252\tCape buffalo, Synercus caffer\n7268\tn02404573\t7253\tBrahman, Brahma, Brahmin, Bos indicus\n7269\tn02402175\t7253\tox, wild ox\n7270\tn02404906\t7253\tzebu\n7271\tn02402425\t7253\tcattle, cows, kine, oxen, Bos taurus\n7272\tn02405302\t7269\tyak, Bos grunniens\n7273\tn02410011\t7269\tgaur, Bibos gaurus\n7274\tn02404186\t7271\tbeef, beef cattle\n7275\tn02403003\t7271\tox\n7276\tn02403325\t7271\tbull\n7277\tn02403231\t7271\tbullock, steer\n7278\tn02403740\t7271\theifer\n7279\tn02403454\t7271\tcow, moo-cow\n7280\tn02406174\t7271\tdairy cattle, dairy cow, milch cow, milk cow, milcher, milker\n7281\tn02404432\t7274\tlonghorn, Texas longhorn\n7282\tn02406647\t7274\tCharolais\n7283\tn02407625\t7274\tHereford, whiteface\n7284\tn02407071\t7274\tDurham, shorthorn\n7285\tn02405929\t7274\tAberdeen Angus, Angus, black Angus\n7286\tn02407276\t7274\tGalloway\n7287\tn02407390\t7280\tFriesian, Holstein, Holstein-Friesian\n7288\tn02406533\t7280\tBrown Swiss\n7289\tn02424305\t7254\tkudu, koodoo, koudou\n7290\tn02421136\t7254\taddax, Addax nasomaculatus\n7291\tn02420509\t7254\tblackbuck, black buck, Antilope cervicapra\n7292\tn02427724\t7254\twaterbuck\n7293\tn02426813\t7254\teland\n7294\tn02426481\t7254\tsteenbok, steinbok, Raphicerus campestris\n7295\tn02421792\t7254\tdik-dik\n7296\tn02421449\t7254\tgnu, wildebeest\n7297\tn02424695\t7254\tharnessed antelope\n7298\tn02420828\t7254\tgerenuk, Litocranius walleri\n7299\tn02422391\t7254\tsassaby, topi, Damaliscus lunatus\n7300\tn02422699\t7254\timpala, Aepyceros melampus\n7301\tn02424486\t7254\tgreater kudu, Tragelaphus strepsiceros\n7302\tn02425887\t7254\tsable antelope, Hippotragus niger\n7303\tn02422106\t7254\thartebeest\n7304\tn02424085\t7254\tbongo, Tragelaphus eurycerus, Boocercus eurycerus\n7305\tn02428508\t7254\tgemsbok, gemsbuck, Oryx gazella\n7306\tn02428349\t7254\toryx, pasang\n7307\tn02423022\t7254\tgazelle\n7308\tn02424909\t7297\tnyala, Tragelaphus angasi\n7309\tn02425228\t7297\tbushbuck, guib, Tragelaphus scriptus\n7310\tn02423218\t7307\tThomson's gazelle, Gazella thomsoni\n7311\tn02423589\t7307\tspringbok, springbuck, Antidorcas marsupialis, Antidorcas euchore\n7312\tn02413131\t7255\tdomestic sheep, Ovis aries\n7313\tn02413050\t7255\tblack sheep\n7314\tn02411999\t7255\tewe\n7315\tn02412210\t7255\twether\n7316\tn02412080\t7255\tram, tup\n7317\tn02418465\t7256\tmountain goat, Rocky Mountain goat, Oreamnos americanus\n7318\tn02419336\t7256\tchamois, Rupicapra rupicapra\n7319\tn02419634\t7256\ttakin, gnu goat, Budorcas taxicolor\n7320\tn02416964\t7257\tnanny, nanny-goat, she-goat\n7321\tn02416820\t7257\tkid\n7322\tn02417914\t7257\tibex, Capra ibex\n7323\tn02417387\t7257\tAngora, Angora goat\n7324\tn02417070\t7257\tdomestic goat, Capra hircus\n7325\tn02416880\t7257\tbilly, billy goat, he-goat\n7326\tn02417534\t7257\twild goat\n7327\tn02437482\t7223\tBactrian camel, Camelus bactrianus\n7328\tn02437312\t7223\tArabian camel, dromedary, Camelus dromedarius\n7329\tn02396427\t7224\twild boar, boar, Sus scrofa\n7330\tn02397096\t7224\twarthog\n7331\tn02396014\t7224\tboar\n7332\tn02395406\t7224\thog, pig, grunter, squealer, Sus scrofa\n7333\tn02438173\t7225\tguanaco, Lama guanicoe\n7334\tn02438272\t7225\talpaca, Lama pacos\n7335\tn02391994\t7221\trhinoceros, rhino\n7336\tn02393580\t7221\ttapir\n7337\tn02374149\t7221\tequine, equid\n7338\tn02393940\t7221\tMalayan tapir, Indian tapir, Tapirus indicus\n7339\tn02392434\t7335\tIndian rhinoceros, Rhinoceros unicornis\n7340\tn02393161\t7335\tblack rhinoceros, Diceros bicornis\n7341\tn02392824\t7335\twhite rhinoceros, Ceratotherium simum, Diceros simus\n7342\tn02374451\t7337\thorse, Equus caballus\n7343\tn02391049\t7337\tzebra\n7344\tn02389346\t7337\tass\n7345\tn02388917\t7342\tbay\n7346\tn02377603\t7342\tbroodmare, stud mare\n7347\tn02382948\t7342\tracehorse, race horse, bangtail\n7348\tn02389128\t7342\tpalomino\n7349\tn02381460\t7342\twild horse\n7350\tn02389261\t7342\tpinto\n7351\tn02382204\t7342\thack, jade, nag, plug\n7352\tn02375302\t7342\troan\n7353\tn02376918\t7342\tmale horse\n7354\tn02387722\t7342\tpost horse, post-horse, poster\n7355\tn02388832\t7342\tliver chestnut\n7356\tn02381609\t7342\ttarpan, Equus caballus gomelini\n7357\tn02377703\t7342\tsaddle horse, riding horse, mount\n7358\tn02388735\t7342\tchestnut\n7359\tn02386014\t7342\tharness horse\n7360\tn02380464\t7342\tpolo pony\n7361\tn02386310\t7342\tworkhorse\n7362\tn02377480\t7342\tmare, female horse\n7363\tn02380335\t7342\tpony\n7364\tn02382437\t7342\tpony\n7365\tn02389026\t7342\tsorrel\n7366\tn02385214\t7347\tyearling\n7367\tn02383231\t7347\tthoroughbred\n7368\tn02388276\t7347\ttrotting horse, trotter\n7369\tn02377291\t7353\tstud, studhorse\n7370\tn02377181\t7353\tstallion, entire\n7371\tn02377388\t7353\tgelding\n7372\tn02379430\t7357\tTennessee walker, Tennessee walking horse, Walking horse, Plantation walking horse\n7373\tn02378969\t7357\thack\n7374\tn02378541\t7357\tcavalry horse\n7375\tn02381364\t7357\tgrey, gray\n7376\tn02379329\t7357\tMorgan\n7377\tn02381004\t7357\tbuckskin\n7378\tn02381261\t7357\tdun\n7379\tn02379908\t7357\tArabian, Arab\n7380\tn02379183\t7357\tquarter horse\n7381\tn02386141\t7359\tcob\n7382\tn02386224\t7359\thackney\n7383\tn02382338\t7361\tplow horse, plough horse\n7384\tn02387254\t7361\tfarm horse, dobbin\n7385\tn02386496\t7361\tdraft horse, draught horse, dray horse\n7386\tn02386853\t7385\tcarthorse, cart horse, drayhorse\n7387\tn02387093\t7385\tPercheron\n7388\tn02386968\t7385\tClydesdale\n7389\tn02387346\t7385\tshire, shire horse\n7390\tn02382039\t7363\tcayuse, Indian pony\n7391\tn02380745\t7363\tbronco, bronc, broncho\n7392\tn02380583\t7363\tmustang\n7393\tn02382750\t7364\tWelsh pony\n7394\tn02382635\t7364\tShetland pony\n7395\tn02382850\t7364\tExmoor\n7396\tn02391234\t7343\tcommon zebra, Burchell's zebra, Equus Burchelli\n7397\tn02391373\t7343\tmountain zebra, Equus zebra zebra\n7398\tn02391508\t7343\tgrevy's zebra, Equus grevyi\n7399\tn02390015\t7344\tjennet, jenny, jenny ass\n7400\tn02389779\t7344\tburro\n7401\tn02389559\t7344\tdomestic ass, donkey, Equus asinus\n7402\tn01872401\t6769\techidna, spiny anteater, anteater\n7403\tn01873310\t6769\tplatypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus\n7404\tn01872772\t6769\techidna, spiny anteater, anteater\n7405\tn01877134\t6770\tkangaroo\n7406\tn01882714\t6770\tkoala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus\n7407\tn01883070\t6770\twombat\n7408\tn01875313\t6770\tcommon opossum, Didelphis virginiana, Didelphis marsupialis\n7409\tn01874928\t6770\topossum, possum\n7410\tn01883513\t6770\tdasyurid marsupial, dasyurid\n7411\tn01881171\t6770\tphalanger, opossum, possum\n7412\tn01877606\t7405\tgiant kangaroo, great grey kangaroo, Macropus giganteus\n7413\tn01877812\t7405\twallaby, brush kangaroo\n7414\tn01878929\t7413\trock wallaby, rock kangaroo\n7415\tn01879509\t7413\ttree wallaby, tree kangaroo\n7416\tn01884834\t7410\tTasmanian devil, ursine dasyure, Sarcophilus hariisi\n7417\tn01885498\t7410\tnumbat, banded anteater, anteater, Myrmecobius fasciatus\n7418\tn01662622\t6526\tchelonian, chelonian reptile\n7419\tn01661818\t6526\tdiapsid, diapsid reptile\n7420\tn01662784\t7418\tturtle\n7421\tn01669372\t7420\tWestern box turtle, Terrapene ornata\n7422\tn01669191\t7420\tbox turtle, box tortoise\n7423\tn01666228\t7420\tcommon snapping turtle, snapper, Chelydra serpentina\n7424\tn01667778\t7420\tterrapin\n7425\tn01672032\t7420\tsoft-shelled turtle, pancake turtle\n7426\tn01669654\t7420\tpainted turtle, painted terrapin, painted tortoise, Chrysemys picta\n7427\tn01663401\t7420\tsea turtle, marine turtle\n7428\tn01665932\t7420\tsnapping turtle\n7429\tn01668665\t7420\tslider, yellow-bellied terrapin, Pseudemys scripta\n7430\tn01670092\t7420\ttortoise\n7431\tn01667114\t7420\tmud turtle\n7432\tn01668892\t7420\tcooter, river cooter, Pseudemys concinna\n7433\tn01664990\t7427\thawksbill turtle, hawksbill, hawkbill, tortoiseshell turtle, Eretmochelys imbricata\n7434\tn01664065\t7427\tloggerhead, loggerhead turtle, Caretta caretta\n7435\tn01663782\t7427\tgreen turtle, Chelonia mydas\n7436\tn01665541\t7427\tleatherback turtle, leatherback, leathery turtle, Dermochelys coriacea\n7437\tn01664369\t7427\tridley\n7438\tn01664674\t7437\tPacific ridley, olive ridley, Lepidochelys olivacea\n7439\tn01664492\t7437\tAtlantic ridley, bastard ridley, bastard turtle, Lepidochelys kempii\n7440\tn01670802\t7430\tgiant tortoise\n7441\tn01671125\t7430\tgopher tortoise, gopher turtle, gopher, Gopherus polypemus\n7442\tn01670535\t7430\tEuropean tortoise, Testudo graeca\n7443\tn01671479\t7430\tdesert tortoise, Gopherus agassizii\n7444\tn01696633\t7419\tcrocodilian reptile, crocodilian\n7445\tn01726692\t7419\tsnake, serpent, ophidian\n7446\tn01673282\t7419\ttuatara, Sphenodon punctatum\n7447\tn01674464\t7419\tlizard\n7448\tn01699831\t7419\tdinosaur\n7449\tn01698434\t7444\talligator, gator\n7450\tn01697178\t7444\tcrocodile\n7451\tn01698640\t7444\tAmerican alligator, Alligator mississipiensis\n7452\tn01699040\t7444\tcaiman, cayman\n7453\tn01697611\t7450\tAsian crocodile, Crocodylus porosus\n7454\tn01697457\t7450\tAfrican crocodile, Nile crocodile, Crocodylus niloticus\n7455\tn01740551\t7445\tblind snake, worm snake\n7456\tn01752165\t7445\tviper\n7457\tn01751748\t7445\tsea snake\n7458\tn01745125\t7445\telapid, elapid snake\n7459\tn01741562\t7445\tconstrictor\n7460\tn01727646\t7445\tcolubrid snake, colubrid\n7461\tn01753488\t7456\thorned viper, cerastes, sand viper, horned asp, Cerastes cornutus\n7462\tn01752736\t7456\tasp, asp viper, Vipera aspis\n7463\tn01752585\t7456\tadder, common viper, Vipera berus\n7464\tn01753032\t7456\tpuff adder, Bitis arietans\n7465\tn01753959\t7456\tpit viper\n7466\tn01754533\t7465\twater moccasin, cottonmouth, cottonmouth moccasin, Agkistrodon piscivorus\n7467\tn01754370\t7465\tcopperhead, Agkistrodon contortrix\n7468\tn01754876\t7465\trattlesnake, rattler\n7469\tn01757901\t7468\tground rattler, massasauga, Sistrurus miliaris\n7470\tn01757677\t7468\tmassasauga, massasauga rattler, Sistrurus catenatus\n7471\tn01755581\t7468\tdiamondback, diamondback rattlesnake, Crotalus adamanteus\n7472\tn01757115\t7468\tMojave rattlesnake, Crotalus scutulatus\n7473\tn01755740\t7468\ttimber rattlesnake, banded rattlesnake, Crotalus horridus horridus\n7474\tn01756089\t7468\tprairie rattlesnake, prairie rattler, Western rattlesnake, Crotalus viridis\n7475\tn01756508\t7468\tWestern diamondback, Western diamondback rattlesnake, Crotalus atrox\n7476\tn01756291\t7468\tsidewinder, horned rattlesnake, Crotalus cerastes\n7477\tn01756733\t7468\trock rattlesnake, Crotalus lepidus\n7478\tn01757343\t7468\tspeckled rattlesnake, Crotalus mitchellii\n7479\tn01747885\t7458\tcobra\n7480\tn01749939\t7458\tgreen mamba\n7481\tn01751472\t7458\ttaipan, Oxyuranus scutellatus\n7482\tn01747589\t7458\tcopperhead, Denisonia superba\n7483\tn01749582\t7458\tmamba\n7484\tn01746359\t7458\tcoral snake, Old World coral snake\n7485\tn01745484\t7458\tcoral snake, harlequin-snake, New World coral snake\n7486\tn01748264\t7479\tIndian cobra, Naja naja\n7487\tn01748906\t7479\thamadryad, king cobra, Ophiophagus hannah, Naja hannah\n7488\tn01741943\t7459\tboa\n7489\tn01743605\t7488\tpython\n7490\tn01742821\t7488\trosy boa, Lichanura trivirgata\n7491\tn01742172\t7488\tboa constrictor, Constrictor constrictor\n7492\tn01743086\t7488\tanaconda, Eunectes murinus\n7493\tn01744100\t7489\treticulated python, Python reticulatus\n7494\tn01743936\t7489\tcarpet snake, Python variegatus, Morelia spilotes variegatus\n7495\tn01744401\t7489\trock python, rock snake, Python sebae\n7496\tn01730960\t7460\tblacksnake, black racer, Coluber constrictor\n7497\tn01735189\t7460\tgarter snake, grass snake\n7498\tn01733757\t7460\tbull snake, bull-snake\n7499\tn01729322\t7460\thognose snake, puff adder, sand viper\n7500\tn01732244\t7460\trat snake\n7501\tn01731545\t7460\twhip-snake, whip snake, whipsnake\n7502\tn01737021\t7460\twater snake\n7503\tn01729977\t7460\tgreen snake, grass snake\n7504\tn01730812\t7460\tracer\n7505\tn01730563\t7460\tgreen snake\n7506\tn01728572\t7460\tthunder snake, worm snake, Carphophis amoenus\n7507\tn01728920\t7460\tringneck snake, ring-necked snake, ring snake\n7508\tn01739381\t7460\tvine snake\n7509\tn01734418\t7460\tking snake, kingsnake\n7510\tn01740131\t7460\tnight snake, Hypsiglena torquata\n7511\tn01735577\t7497\tribbon snake, Thamnophis sauritus\n7512\tn01735439\t7497\tcommon garter snake, Thamnophis sirtalis\n7513\tn01734104\t7498\tpine snake\n7514\tn01733957\t7498\tgopher snake, Pituophis melanoleucus\n7515\tn01732614\t7500\tcorn snake, red rat snake, Elaphe guttata\n7516\tn01732789\t7500\tblack rat snake, blacksnake, pilot blacksnake, mountain blacksnake, Elaphe obsoleta\n7517\tn01737875\t7502\tgrass snake, ring snake, ringed snake, Natrix natrix\n7518\tn01737472\t7502\tcommon water snake, banded water snake, Natrix sipedon, Nerodia sipedon\n7519\tn01737728\t7502\twater moccasin\n7520\tn01730185\t7503\tsmooth green snake, Opheodrys vernalis\n7521\tn01730307\t7503\trough green snake, Opheodrys aestivus\n7522\tn01734808\t7509\tmilk snake, house snake, milk adder, checkered adder, Lampropeltis triangulum\n7523\tn01734637\t7509\tcommon kingsnake, Lampropeltis getulus\n7524\tn01675722\t7447\tbanded gecko\n7525\tn01693783\t7447\tchameleon, chamaeleon\n7526\tn01694709\t7447\tmonitor, monitor lizard, varan\n7527\tn01684133\t7447\tskink, scincid, scincid lizard\n7528\tn01692333\t7447\tGila monster, Heloderma suspectum\n7529\tn01695060\t7447\tKomodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis\n7530\tn01685808\t7447\twhiptail, whiptail lizard\n7531\tn01676755\t7447\tiguanid, iguanid lizard\n7532\tn01687665\t7447\tagamid, agamid lizard\n7533\tn01674990\t7447\tgecko\n7534\tn01694178\t7447\tAfrican chameleon, Chamaeleo chamaeleon\n7535\tn01692864\t7447\tlacertid lizard, lacertid\n7536\tn01689411\t7447\tanguid lizard\n7537\tn01681940\t7531\thorned lizard, horned toad, horny frog\n7538\tn01681653\t7531\ttree lizard, Urosaurus ornatus\n7539\tn01678343\t7531\tchuckwalla, Sauromalus obesus\n7540\tn01682714\t7531\tAmerican chameleon, anole, Anolis carolinensis\n7541\tn01682435\t7531\tbasilisk\n7542\tn01681328\t7531\tside-blotched lizard, sand lizard, Uta stansburiana\n7543\tn01680264\t7531\tspiny lizard\n7544\tn01679626\t7531\tcollared lizard\n7545\tn01677366\t7531\tcommon iguana, iguana, Iguana iguana\n7546\tn01677747\t7531\tmarine iguana, Amblyrhynchus cristatus\n7547\tn01679962\t7531\tleopard lizard\n7548\tn01680655\t7543\twestern fence lizard, swift, blue-belly, Sceloporus occidentalis\n7549\tn01680478\t7543\tfence lizard\n7550\tn01687978\t7532\tagama\n7551\tn01689081\t7532\tmountain devil, spiny lizard, Moloch horridus\n7552\tn01688243\t7532\tfrilled lizard, Chlamydosaurus kingi\n7553\tn01693334\t7535\tgreen lizard, Lacerta viridis\n7554\tn01693175\t7535\tsand lizard, Lacerta agilis\n7555\tn01690149\t7536\tblindworm, slowworm, Anguis fragilis\n7556\tn01689811\t7536\talligator lizard\n7557\tn01700470\t7448\tornithischian, ornithischian dinosaur\n7558\tn01713764\t7448\ttyrannosaur, tyrannosaurus, Tyrannosaurus rex\n7559\tn01701859\t7557\tstegosaur, stegosaurus, Stegosaur stenops\n7560\tn01704323\t7557\ttriceratops\n7561\tn01515303\t6527\tbird of passage\n7562\tn01844917\t6527\taquatic bird\n7563\tn01524359\t6527\tpasserine, passeriform bird\n7564\tn01514668\t6527\tcock\n7565\tn01833805\t6527\thummingbird\n7566\tn01838038\t6527\tpiciform bird\n7567\tn01825930\t6527\tcoraciiform bird\n7568\tn01844551\t6527\tquetzal, quetzal bird\n7569\tn01604330\t6527\tbird of prey, raptor, raptorial bird\n7570\tn01834918\t6527\tcaprimulgiform bird\n7571\tn01822602\t6527\tcuculiform bird\n7572\tn01514752\t6527\tgamecock, fighting cock\n7573\tn01517565\t6527\tratite, ratite bird, flightless bird\n7574\tn01789386\t6527\tgallinaceous bird, gallinacean\n7575\tn01844231\t6527\ttrogon\n7576\tn01816887\t6527\tparrot\n7577\tn01517966\t6527\tcarinate, carinate bird, flying bird\n7578\tn01503976\t6527\tdickeybird, dickey-bird, dickybird, dicky-bird\n7579\tn01514859\t6527\then\n7580\tn02000954\t7562\twading bird, wader\n7581\tn01858441\t7562\tswan\n7582\tn02016358\t7562\tgallinule, marsh hen, water hen, swamphen\n7583\tn02021795\t7562\tseabird, sea bird, seafowl\n7584\tn01845132\t7562\twaterfowl, water bird, waterbird\n7585\tn02008041\t7580\theron\n7586\tn02014237\t7580\tcrested cariama, seriema, Cariama cristata\n7587\tn02021050\t7580\ttrumpeter\n7588\tn02018795\t7580\tbustard\n7589\tn02005790\t7580\tibis\n7590\tn02002075\t7580\tstork\n7591\tn02013177\t7580\twhooping crane, whooper, Grus americana\n7592\tn02012849\t7580\tcrane\n7593\tn02013706\t7580\tlimpkin, Aramus pictus\n7594\tn02014524\t7580\tchunga, seriema, Chunga burmeisteri\n7595\tn02007558\t7580\tflamingo\n7596\tn02014941\t7580\trail\n7597\tn02006656\t7580\tspoonbill\n7598\tn02005399\t7580\tshoebill, shoebird, Balaeniceps rex\n7599\tn02022684\t7580\tshorebird, shore bird, limicoline bird\n7600\tn02008497\t7585\tgreat blue heron, Ardea herodius\n7601\tn02010453\t7585\tnight heron, night raven\n7602\tn02009229\t7585\tlittle blue heron, Egretta caerulea\n7603\tn02011281\t7585\tboatbill, boat-billed heron, broadbill, Cochlearius cochlearius\n7604\tn02008643\t7585\tgreat white heron, Ardea occidentalis\n7605\tn02008796\t7585\tegret\n7606\tn02011460\t7585\tbittern\n7607\tn02010728\t7601\tblack-crowned night heron, Nycticorax nycticorax\n7608\tn02011016\t7601\tyellow-crowned night heron, Nyctanassa violacea\n7609\tn02009750\t7605\tgreat white heron, Casmerodius albus\n7610\tn02009508\t7605\tlittle egret, Egretta garzetta\n7611\tn02009380\t7605\tsnowy egret, snowy heron, Egretta thula\n7612\tn02009912\t7605\tAmerican egret, great white heron, Egretta albus\n7613\tn02010272\t7605\tcattle egret, Bubulcus ibis\n7614\tn02012185\t7606\tleast bittern, Ixobrychus exilis\n7615\tn02011805\t7606\tAmerican bittern, stake driver, Botaurus lentiginosus\n7616\tn02006063\t7589\twood ibis, wood stork, Ibis ibis\n7617\tn02006364\t7589\tsacred ibis, Threskiornis aethiopica\n7618\tn02003204\t7590\tmarabou, marabout, marabou stork, Leptoptilus crumeniferus\n7619\tn02002724\t7590\tblack stork, Ciconia nigra\n7620\tn02002556\t7590\twhite stork, Ciconia ciconia\n7621\tn02004131\t7590\tsaddlebill, jabiru, Ephippiorhynchus senegalensis\n7622\tn02003839\t7590\tjabiru, Jabiru mycteria\n7623\tn02004492\t7590\tpoliceman bird, black-necked stork, jabiru, Xenorhyncus asiaticus\n7624\tn02004855\t7590\twood ibis, wood stork, flinthead, Mycteria americana\n7625\tn02017725\t7596\tnotornis, takahe, Notornis mantelli\n7626\tn02015357\t7596\tweka, maori hen, wood hen\n7627\tn02016066\t7596\tspotted crake, Porzana porzana\n7628\tn02015554\t7596\tcrake\n7629\tn02018027\t7596\tcoot\n7630\tn02018368\t7629\tOld World coot, Fulica atra\n7631\tn02018207\t7629\tAmerican coot, marsh hen, mud hen, water hen, Fulica americana\n7632\tn02006985\t7597\tcommon spoonbill, Platalea leucorodia\n7633\tn02007284\t7597\troseate spoonbill, Ajaia ajaja\n7634\tn02023341\t7599\tplover\n7635\tn02034129\t7599\tgodwit\n7636\tn02034295\t7599\tHudsonian godwit, Limosa haemastica\n7637\tn02036053\t7599\tstilt, Australian stilt\n7638\tn02040266\t7599\tstone curlew, thick-knee, Burhinus oedicnemus\n7639\tn02037110\t7599\toystercatcher, oyster catcher\n7640\tn02034661\t7599\tstilt, stiltbird, longlegs, long-legs, stilt plover, Himantopus stilt\n7641\tn02031585\t7599\tAmerican woodcock, woodcock snipe, Philohela minor\n7642\tn02031934\t7599\tsnipe\n7643\tn02030996\t7599\twoodcock\n7644\tn02036711\t7599\tavocet\n7645\tn02026059\t7599\tsandpiper\n7646\tn02033779\t7599\tEuropean curlew, Numenius arquata\n7647\tn02038993\t7599\tpratincole, glareole\n7648\tn02033561\t7599\tcurlew\n7649\tn02037464\t7599\tphalarope\n7650\tn02024479\t7634\tgolden plover\n7651\tn02025239\t7634\truddy turnstone, Arenaria interpres\n7652\tn02023992\t7634\tkilldeer, kildeer, killdeer plover, Charadrius vociferus\n7653\tn02024763\t7634\tlapwing, green plover, peewit, pewit\n7654\tn02025043\t7634\tturnstone\n7655\tn02023855\t7634\tpiping plover, Charadrius melodus\n7656\tn02034971\t7640\tblack-necked stilt, Himantopus mexicanus\n7657\tn02035210\t7640\tblack-winged stilt, Himantopus himantopus\n7658\tn02032222\t7642\twhole snipe, Gallinago gallinago\n7659\tn02032355\t7642\tWilson's snipe, Gallinago gallinago delicata\n7660\tn02032480\t7642\tgreat snipe, woodcock snipe, Gallinago media\n7661\tn02033041\t7642\tdowitcher\n7662\tn02030287\t7645\ttattler\n7663\tn02027897\t7645\tgreenshank, Tringa nebularia\n7664\tn02030837\t7645\twillet, Catoptrophorus semipalmatus\n7665\tn02029087\t7645\tcurlew sandpiper, Calidris Ferruginea\n7666\tn02029378\t7645\tsanderling, Crocethia alba\n7667\tn02028035\t7645\tredshank, Tringa totanus\n7668\tn02027075\t7645\tspotted sandpiper, Actitis macularia\n7669\tn02028900\t7645\tknot, greyback, grayback, Calidris canutus\n7670\tn02027492\t7645\tred-backed sandpiper, dunlin, Erolia alpina\n7671\tn02029706\t7645\tupland sandpiper, upland plover, Bartramian sandpiper, Bartramia longicauda\n7672\tn02027357\t7645\tleast sandpiper, stint, Erolia minutilla\n7673\tn02028727\t7645\tpectoral sandpiper, jacksnipe, Calidris melanotos\n7674\tn02030035\t7645\truff, Philomachus pugnax\n7675\tn02026948\t7645\tEuropean sandpiper, Actitis hypoleucos\n7676\tn02028175\t7645\tyellowlegs\n7677\tn02028342\t7676\tgreater yellowlegs, Tringa melanoleuca\n7678\tn02028451\t7676\tlesser yellowlegs, Tringa flavipes\n7679\tn02037869\t7649\tred phalarope, Phalaropus fulicarius\n7680\tn02038466\t7649\tWilson's phalarope, Steganopus tricolor\n7681\tn01858845\t7581\tpen\n7682\tn01858906\t7581\tcygnet\n7683\tn01860002\t7581\ttrumpeter, trumpeter swan, Cygnus buccinator\n7684\tn01858281\t7581\tcoscoroba\n7685\tn01859190\t7581\tmute swan, Cygnus olor\n7686\tn01858780\t7581\tcob\n7687\tn01859325\t7581\twhooper, whooper swan, Cygnus cygnus\n7688\tn01860187\t7581\tblack swan, Cygnus atratus\n7689\tn01859496\t7581\ttundra swan, Cygnus columbianus\n7690\tn01859689\t7689\twhistling swan, Cygnus columbianus columbianus\n7691\tn01859852\t7689\tBewick's swan, Cygnus columbianus bewickii\n7692\tn02016956\t7582\tpurple gallinule\n7693\tn02017213\t7582\tEuropean gallinule, Porphyrio porphyrio\n7694\tn02016816\t7582\tmoorhen, Gallinula chloropus\n7695\tn02040505\t7583\tcoastal diving bird\n7696\tn02057731\t7583\tpelagic bird, oceanic bird\n7697\tn02050004\t7583\tgrebe\n7698\tn02045369\t7583\tauk\n7699\tn02049088\t7583\tloon, diver\n7700\tn02051474\t7583\tpelecaniform seabird\n7701\tn02055658\t7583\tsphenisciform seabird\n7702\tn02047614\t7583\tpuffin\n7703\tn02041085\t7695\tlarid\n7704\tn02044178\t7695\tjaeger\n7705\tn02043808\t7695\tskimmer\n7706\tn02043333\t7703\tsea swallow, Sterna hirundo\n7707\tn02041246\t7703\tgull, seagull, sea gull\n7708\tn02043063\t7703\ttern\n7709\tn02042472\t7707\tivory gull, Pagophila eburnea\n7710\tn02041678\t7707\tmew, mew gull, sea mew, Larus canus\n7711\tn02042180\t7707\tlaughing gull, blackcap, pewit, pewit gull, Larus ridibundus\n7712\tn02041875\t7707\tblack-backed gull, great black-backed gull, cob, Larus marinus\n7713\tn02042759\t7707\tkittiwake\n7714\tn02042046\t7707\therring gull, Larus argentatus\n7715\tn02044778\t7704\tskua, bonxie\n7716\tn02044517\t7704\tparasitic jaeger, arctic skua, Stercorarius parasiticus\n7717\tn02059162\t7696\tpetrel\n7718\tn02058221\t7696\talbatross, mollymawk\n7719\tn02058594\t7696\twandering albatross, Diomedea exulans\n7720\tn02060411\t7717\tshearwater\n7721\tn02060889\t7717\tstorm petrel\n7722\tn02060133\t7717\tfulmar, fulmar petrel, Fulmarus glacialis\n7723\tn02050442\t7697\tred-necked grebe, Podiceps grisegena\n7724\tn02050313\t7697\tgreat crested grebe, Podiceps cristatus\n7725\tn02051059\t7697\tpied-billed grebe, Podilymbus podiceps\n7726\tn02050586\t7697\tblack-necked grebe, eared grebe, Podiceps nigricollis\n7727\tn02050809\t7697\tdabchick, little grebe, Podiceps ruficollis\n7728\tn02045864\t7698\trazorbill, razor-billed auk, Alca torda\n7729\tn02046759\t7698\tguillemot\n7730\tn02045596\t7698\tauklet\n7731\tn02047260\t7729\tmurre\n7732\tn02046939\t7729\tblack guillemot, Cepphus grylle\n7733\tn02047411\t7729\tcommon murre, Uria aalge\n7734\tn02047045\t7729\tpigeon guillemot, Cepphus columba\n7735\tn02052775\t7700\tfrigate bird, man-of-war bird\n7736\tn02054036\t7700\tcormorant, Phalacrocorax carbo\n7737\tn02054502\t7700\tsnakebird, anhinga, darter\n7738\tn02051845\t7700\tpelican\n7739\tn02053083\t7700\tgannet\n7740\tn02054711\t7700\twater turkey, Anhinga anhinga\n7741\tn02055107\t7700\ttropic bird, tropicbird, boatswain bird\n7742\tn02052204\t7738\twhite pelican, Pelecanus erythrorhynchos\n7743\tn02052365\t7738\tOld world white pelican, Pelecanus onocrotalus\n7744\tn02053425\t7739\tsolan, solan goose, solant goose, Sula bassana\n7745\tn02053584\t7739\tbooby\n7746\tn02055803\t7701\tpenguin\n7747\tn02056728\t7746\temperor penguin, Aptenodytes forsteri\n7748\tn02057035\t7746\tjackass penguin, Spheniscus demersus\n7749\tn02056570\t7746\tking penguin, Aptenodytes patagonica\n7750\tn02057330\t7746\trock hopper, crested penguin\n7751\tn02056228\t7746\tAdelie, Adelie penguin, Pygoscelis adeliae\n7752\tn02048115\t7702\thorned puffin, Fratercula corniculata\n7753\tn02048353\t7702\ttufted puffin, Lunda cirrhata\n7754\tn02047975\t7702\tAtlantic puffin, Fratercula arctica\n7755\tn01845477\t7584\tanseriform bird\n7756\tn01855672\t7755\tgoose\n7757\tn01846331\t7755\tduck\n7758\tn01856890\t7756\tblue goose, Chen caerulescens\n7759\tn01857851\t7756\tbarnacle goose, barnacle, Branta leucopsis\n7760\tn01857079\t7756\tsnow goose\n7761\tn01856380\t7756\tChinese goose, Anser cygnoides\n7762\tn01857512\t7756\tcommon brant goose, Branta bernicla\n7763\tn01857325\t7756\tbrant, brant goose, brent, brent goose\n7764\tn01856072\t7756\tgosling\n7765\tn01856553\t7756\tgreylag, graylag, greylag goose, graylag goose, Anser anser\n7766\tn01856155\t7756\tgander\n7767\tn01857632\t7756\thonker, Canada goose, Canadian goose, Branta canadensis\n7768\tn01847253\t7757\tdiving duck\n7769\tn01851375\t7757\tscaup, scaup duck, bluebill, broadbill\n7770\tn01849676\t7757\tshelduck\n7771\tn01852329\t7757\twood drake\n7772\tn01850192\t7757\tbufflehead, butterball, dipper, Bucephela albeola\n7773\tn01847978\t7757\tblack duck, Anas rubripes\n7774\tn01852400\t7757\tmandarin duck, Aix galericulata\n7775\tn01848840\t7757\tAmerican widgeon, baldpate, Anas americana\n7776\tn01849157\t7757\tpintail, pin-tailed duck, Anas acuta\n7777\tn01847806\t7757\tmallard, Anas platyrhynchos\n7778\tn01849466\t7757\tsheldrake\n7779\tn01848123\t7757\tteal\n7780\tn01850553\t7757\tBarrow's goldeneye, Bucephala islandica\n7781\tn01847089\t7757\tquack-quack\n7782\tn01851895\t7757\twild duck\n7783\tn01849863\t7757\truddy duck, Oxyura jamaicensis\n7784\tn01852142\t7757\twood duck, summer duck, wood widgeon, Aix sponsa\n7785\tn01847000\t7757\tdrake\n7786\tn01852671\t7757\tmuscovy duck, musk duck, Cairina moschata\n7787\tn01848976\t7757\tshoveler, shoveller, broadbill, Anas clypeata\n7788\tn01847407\t7757\tdabbling duck, dabbler\n7789\tn01848648\t7757\twidgeon, wigeon, Anas penelope\n7790\tn01852861\t7757\tsea duck\n7791\tn01851207\t7757\tredhead, Aythya americana\n7792\tn01851038\t7757\tpochard, Aythya ferina\n7793\tn01850373\t7757\tgoldeneye, whistler, Bucephela clangula\n7794\tn01850873\t7757\tcanvasback, canvasback duck, Aythya valisineria\n7795\tn01847170\t7757\tduckling\n7796\tn01851573\t7769\tgreater scaup, Aythya marila\n7797\tn01851731\t7769\tlesser scaup, lesser scaup duck, lake duck, Aythya affinis\n7798\tn01848555\t7779\tgarganey, Anas querquedula\n7799\tn01848323\t7779\tgreenwing, green-winged teal, Anas crecca\n7800\tn01848453\t7779\tbluewing, blue-winged teal, Anas discors\n7801\tn01853195\t7790\teider, eider duck\n7802\tn01853870\t7790\told squaw, oldwife, Clangula hyemalis\n7803\tn01854415\t7790\tmerganser, fish duck, sawbill, sheldrake\n7804\tn01853498\t7790\tscoter, scooter\n7805\tn01853666\t7790\tcommon scoter, Melanitta nigra\n7806\tn01854838\t7803\tAmerican merganser, Mergus merganser americanus\n7807\tn01855032\t7803\tred-breasted merganser, Mergus serrator\n7808\tn01855476\t7803\thooded merganser, hooded sheldrake, Lophodytes cucullatus\n7809\tn01855188\t7803\tsmew, Mergus albellus\n7810\tn01854700\t7803\tgoosander, Mergus merganser\n7811\tn01584225\t7563\twren, jenny wren\n7812\tn01546506\t7563\tbroadbill\n7813\tn01546921\t7563\ttyrannid\n7814\tn01525720\t7563\toscine, oscine bird\n7815\tn01546039\t7563\tscrubbird, scrub-bird, scrub bird\n7816\tn01539573\t7563\tsparrow, true sparrow\n7817\tn01585121\t7811\tmarsh wren\n7818\tn01585715\t7811\trock wren, Salpinctes obsoletus\n7819\tn01584695\t7811\twinter wren, Troglodytes troglodytes\n7820\tn01586374\t7811\tcactus wren\n7821\tn01584853\t7811\thouse wren, Troglodytes aedon\n7822\tn01586020\t7811\tCarolina wren, Thryothorus ludovicianus\n7823\tn01552813\t7813\tovenbird\n7824\tn01551711\t7813\tmanakin\n7825\tn01555004\t7813\tpitta\n7826\tn01554448\t7813\twoodhewer, woodcreeper, wood-creeper, tree creeper\n7827\tn01547832\t7813\tNew World flycatcher, flycatcher, tyrant flycatcher, tyrant bird\n7828\tn01548301\t7827\tkingbird, Tyrannus tyrannus\n7829\tn01549886\t7827\tphoebe, phoebe bird, Sayornis phoebe\n7830\tn01549430\t7827\tpewee, peewee, peewit, pewit, wood pewee, Contopus virens\n7831\tn01550172\t7827\tvermillion flycatcher, firebird, Pyrocephalus rubinus mexicanus\n7832\tn01549641\t7827\twestern wood pewee, Contopus sordidulus\n7833\tn01555305\t7827\tscissortail, scissortailed flycatcher, Muscivora-forficata\n7834\tn01549053\t7828\tgrey kingbird, gray kingbird, petchary, Tyrannus domenicensis domenicensis\n7835\tn01548865\t7828\teastern kingbird\n7836\tn01548492\t7828\tArkansas kingbird, western kingbird\n7837\tn01563128\t7814\twarbler\n7838\tn01589718\t7814\tbrown creeper, American creeper, Certhia americana\n7839\tn01578575\t7814\tcorvine bird\n7840\tn01576695\t7814\tstarling\n7841\tn01528654\t7814\tpipit, titlark, lark\n7842\tn01591697\t7814\ttitmouse, tit\n7843\tn01594004\t7814\tfairy bluebird, bluebird\n7844\tn01557185\t7814\tthrush\n7845\tn01527347\t7814\thedge sparrow, sparrow, dunnock, Prunella modularis\n7846\tn01597022\t7814\twood swallow, swallow shrike\n7847\tn01598588\t7814\tshrike\n7848\tn01527617\t7814\tlark\n7849\tn01576076\t7814\tgolden oriole, Oriolus oriolus\n7850\tn01555809\t7814\tOld World flycatcher, true flycatcher, flycatcher\n7851\tn01587834\t7814\tthrasher, mocking thrush\n7852\tn01602630\t7814\tvireo\n7853\tn01597336\t7814\ttanager\n7854\tn01538955\t7814\thoneycreeper\n7855\tn01529672\t7814\tfinch\n7856\tn01600657\t7814\tbowerbird, catbird\n7857\tn01601694\t7814\twater ouzel, dipper\n7858\tn01527194\t7814\taccentor\n7859\tn01586941\t7814\tmockingbird, mocker, Mimus polyglotktos\n7860\tn01588002\t7814\tbrown thrasher, brown thrush, Toxostoma rufums\n7861\tn01527917\t7814\tskylark, Alauda arvensis\n7862\tn01587526\t7814\tcatbird, grey catbird, gray catbird, Dumetella carolinensis\n7863\tn01601068\t7814\tsatin bowerbird, satin bird, Ptilonorhynchus violaceus\n7864\tn01603600\t7814\twaxwing\n7865\tn01602832\t7814\tred-eyed vireo, Vireo olivaceous\n7866\tn01571904\t7814\tNew World oriole, American oriole, oriole\n7867\tn01575745\t7814\tOld World oriole, oriole\n7868\tn01566645\t7814\tbabbler, cackler\n7869\tn01594372\t7814\tswallow\n7870\tn01589286\t7814\tcreeper, tree creeper\n7871\tn01526521\t7814\tsongbird, songster\n7872\tn01582856\t7814\tAustralian magpie\n7873\tn01528396\t7814\twagtail\n7874\tn01528845\t7814\tmeadow pipit, Anthus pratensis\n7875\tn01556182\t7814\tspotted flycatcher, Muscicapa striata, Muscicapa grisola\n7876\tn01542786\t7814\tweaver, weaverbird, weaver finch\n7877\tn01590583\t7814\tnuthatch, nutcracker\n7878\tn01564914\t7837\tgreater whitethroat, whitethroat, Sylvia communis\n7879\tn01567133\t7837\tNew World warbler, wood warbler\n7880\tn01563746\t7837\tkinglet\n7881\tn01564394\t7837\tOld World warbler, true warbler\n7882\tn01563449\t7837\tgnatcatcher\n7883\tn01565078\t7837\tlesser whitethroat, whitethroat, Sylvia curruca\n7884\tn01570676\t7879\tyellowthroat\n7885\tn01570839\t7879\tcommon yellowthroat, Maryland yellowthroat, Geothlypis trichas\n7886\tn01570267\t7879\tovenbird, Seiurus aurocapillus\n7887\tn01567678\t7879\tparula warbler, northern parula, Parula americana\n7888\tn01569060\t7879\tBlackburn, Blackburnian warbler, Dendroica fusca\n7889\tn01568892\t7879\tyellow warbler, golden warbler, yellowbird, Dendroica petechia\n7890\tn01568294\t7879\tAmerican redstart, redstart, Setophaga ruticilla\n7891\tn01569971\t7879\tyellow-breasted chat, Icteria virens\n7892\tn01569262\t7879\tAudubon's warbler, Audubon warbler, Dendroica auduboni\n7893\tn01567879\t7879\tWilson's warbler, Wilson's blackcap, Wilsonia pusilla\n7894\tn01568720\t7879\tCape May warbler, Dendroica tigrina\n7895\tn01569423\t7879\tmyrtle warbler, myrtle bird, Dendroica coronata\n7896\tn01563945\t7880\tgoldcrest, golden-crested kinglet, Regulus regulus\n7897\tn01564217\t7880\truby-crowned kinglet, ruby-crowned wren, Regulus calendula\n7898\tn01566207\t7881\ttailorbird, Orthotomus sutorius\n7899\tn01565599\t7881\tsedge warbler, sedge bird, sedge wren, reedbird, Acrocephalus schoenobaenus\n7900\tn01565930\t7881\twren warbler\n7901\tn01564773\t7881\tblackcap, Silvia atricapilla\n7902\tn01579410\t7839\trook, Corvus frugilegus\n7903\tn01581984\t7839\tClark's nutcracker, Nucifraga columbiana\n7904\tn01579578\t7839\tjackdaw, daw, Corvus monedula\n7905\tn01582398\t7839\tEuropean magpie, Pica pica\n7906\tn01580077\t7839\tjay\n7907\tn01579260\t7839\traven, Corvus corax\n7908\tn01579028\t7839\tcrow\n7909\tn01582220\t7839\tmagpie\n7910\tn01579149\t7839\tAmerican crow, Corvus brachyrhyncos\n7911\tn01580870\t7906\tblue jay, jaybird, Cyanocitta cristata\n7912\tn01581166\t7906\tCanada jay, grey jay, gray jay, camp robber, whisker jack, Perisoreus canadensis\n7913\tn01577035\t7840\tcommon starling, Sturnus vulgaris\n7914\tn01578180\t7840\thill myna, Indian grackle, grackle, Gracula religiosa\n7915\tn01577659\t7840\tmyna, mynah, mina, minah, myna bird, mynah bird\n7916\tn01593028\t7842\tbushtit, bush tit\n7917\tn01592084\t7842\tchickadee\n7918\tn01592694\t7842\tblue tit, tomtit, Parus caeruleus\n7919\tn01592387\t7842\ttufted titmouse, Parus bicolor\n7920\tn01592540\t7917\tCarolina chickadee, Parus carolinensis\n7921\tn01592257\t7917\tblack-capped chickadee, blackcap, Parus atricapillus\n7922\tn01562265\t7844\trobin, redbreast, robin redbreast, Old World robin, Erithacus rubecola\n7923\tn01558993\t7844\trobin, American robin, Turdus migratorius\n7924\tn01559477\t7844\thermit thrush, Hylocichla guttata\n7925\tn01558461\t7844\tredwing, Turdus iliacus\n7926\tn01558307\t7844\tfieldfare, snowbird, Turdus pilaris\n7927\tn01558149\t7844\tsong thrush, mavis, throstle, Turdus philomelos\n7928\tn01560105\t7844\tnightingale, Luscinia megarhynchos\n7929\tn01558594\t7844\tblackbird, merl, merle, ouzel, ousel, European blackbird, Turdus merula\n7930\tn01557962\t7844\tmissel thrush, mistle thrush, mistletoe thrush, Turdus viscivorus\n7931\tn01558765\t7844\tring ouzel, ring blackbird, ring thrush, Turdus torquatus\n7932\tn01561732\t7844\twheatear\n7933\tn01562014\t7844\tbluebird\n7934\tn01560280\t7844\tthrush nightingale, Luscinia luscinia\n7935\tn01562451\t7844\tbluethroat, Erithacus svecicus\n7936\tn01561452\t7844\tredstart, redtail\n7937\tn01560419\t7844\tbulbul\n7938\tn01560636\t7844\tOld World chat, chat\n7939\tn01559804\t7844\twood thrush, Hylocichla mustelina\n7940\tn01560793\t7938\tstonechat, Saxicola torquata\n7941\tn01560935\t7938\twhinchat, Saxicola rubetra\n7942\tn01598988\t7847\tbutcherbird\n7943\tn01599556\t7847\tloggerhead shrike, Lanius lucovicianus\n7944\tn01600085\t7847\tbush shrike\n7945\tn01599269\t7942\tnorthern shrike, Lanius borealis\n7946\tn01599159\t7942\tEuropean shrike, Lanius excubitor\n7947\tn01597906\t7853\twestern tanager, Piranga ludoviciana\n7948\tn01598074\t7853\tsummer tanager, summer redbird, Piranga rubra\n7949\tn01597737\t7853\tscarlet tanager, Piranga olivacea, redbird, firebird\n7950\tn01533651\t7855\tserin\n7951\tn01534155\t7855\tbullfinch, Pyrrhula pyrrhula\n7952\tn01540233\t7855\tgrosbeak, grossbeak\n7953\tn01531178\t7855\tgoldfinch, Carduelis carduelis\n7954\tn01534762\t7855\tNew World sparrow\n7955\tn01533893\t7855\tcrossbill, Loxia curvirostra\n7956\tn01537134\t7855\tbunting\n7957\tn01531344\t7855\tlinnet, lintwhite, Carduelis cannabina\n7958\tn01541386\t7855\tcardinal, cardinal grosbeak, Richmondena Cardinalis, Cardinalis cardinalis, redbird\n7959\tn01531512\t7855\tsiskin, Carduelis spinus\n7960\tn01533481\t7855\tcommon canary, Serinus canaria\n7961\tn01541922\t7855\ttowhee\n7962\tn01533000\t7855\tpurple finch, Carpodacus purpureus\n7963\tn01544704\t7855\thoneycreeper, Hawaiian honeycreeper\n7964\tn01530575\t7855\tbrambling, Fringilla montifringilla\n7965\tn01532325\t7855\tNew World goldfinch, goldfinch, yellowbird, Spinus tristis\n7966\tn01532511\t7855\tpine siskin, pine finch, Spinus pinus\n7967\tn01531811\t7855\tredpoll, Carduelis flammea\n7968\tn01534582\t7855\tdark-eyed junco, slate-colored junco, Junco hyemalis\n7969\tn01532829\t7855\thouse finch, linnet, Carpodacus mexicanus\n7970\tn01530439\t7855\tchaffinch, Fringilla coelebs\n7971\tn01533339\t7855\tcanary, canary bird\n7972\tn01531971\t7855\tredpoll, Carduelis hornemanni\n7973\tn01534433\t7855\tjunco, snowbird\n7974\tn01541102\t7952\tpine grosbeak, Pinicola enucleator\n7975\tn01540566\t7952\tevening grosbeak, Hesperiphona vespertina\n7976\tn01540832\t7952\thawfinch, Coccothraustes coccothraustes\n7977\tn01536644\t7954\tsong sparrow, Melospiza melodia\n7978\tn01535469\t7954\twhite-throated sparrow, whitethroat, Zonotrichia albicollis\n7979\tn01536334\t7954\ttree sparrow, Spizella arborea\n7980\tn01536186\t7954\tfield sparrow, Spizella pusilla\n7981\tn01535690\t7954\twhite-crowned sparrow, Zonotrichia leucophrys\n7982\tn01536780\t7954\tswamp sparrow, Melospiza georgiana\n7983\tn01536035\t7954\tchipping sparrow, Spizella passerina\n7984\tn01537544\t7956\tindigo bunting, indigo finch, indigo bird, Passerina cyanea\n7985\tn01538059\t7956\treed bunting, Emberiza schoeniclus\n7986\tn01538630\t7956\tsnow bunting, snowbird, snowflake, Plectrophenax nivalis\n7987\tn01537895\t7956\tortolan, ortolan bunting, Emberiza hortulana\n7988\tn01538200\t7956\tyellowhammer, yellow bunting, Emberiza citrinella\n7989\tn01603812\t7864\tcedar waxwing, cedarbird, Bombycilla cedrorun\n7990\tn01603953\t7864\tBohemian waxwing, Bombycilla garrulus\n7991\tn01573898\t7866\tbobolink, ricebird, reedbird, Dolichonyx oryzivorus\n7992\tn01573074\t7866\tmeadowlark, lark\n7993\tn01572328\t7866\tnorthern oriole, Icterus galbula\n7994\tn01572782\t7866\torchard oriole, Icterus spurius\n7995\tn01574045\t7866\tNew World blackbird, blackbird\n7996\tn01573240\t7992\teastern meadowlark, Sturnella magna\n7997\tn01573360\t7992\twestern meadowlark, Sturnella neglecta\n7998\tn01572654\t7993\tBullock's oriole, Icterus galbula bullockii\n7999\tn01572489\t7993\tBaltimore oriole, Baltimore bird, hangbird, firebird, Icterus galbula galbula\n8000\tn01574560\t7995\tpurple grackle, Quiscalus quiscula\n8001\tn01575117\t7995\tcowbird\n8002\tn01574390\t7995\tgrackle, crow blackbird\n8003\tn01575401\t7995\tred-winged blackbird, redwing, Agelaius phoeniceus\n8004\tn01595450\t7869\twhite-bellied swallow, tree swallow, Iridoprocne bicolor\n8005\tn01595168\t7869\ttree swallow, tree martin, Hirundo nigricans\n8006\tn01595624\t7869\tmartin\n8007\tn01594787\t7869\tbarn swallow, chimney swallow, Hirundo rustica\n8008\tn01594968\t7869\tcliff swallow, Hirundo pyrrhonota\n8009\tn01595974\t8006\thouse martin, Delichon urbica\n8010\tn01596273\t8006\tbank martin, bank swallow, sand martin, Riparia riparia\n8011\tn01583209\t7872\tbutcherbird\n8012\tn01583495\t7872\tcurrawong, bell magpie\n8013\tn01543632\t7876\tJava sparrow, Java finch, ricebird, Padda oryzivora\n8014\tn01544389\t7876\tzebra finch, Poephila castanotis\n8015\tn01591123\t7877\tred-breasted nuthatch, Sitta canadensis\n8016\tn01591005\t7877\tEuropean nuthatch, Sitta europaea\n8017\tn01591301\t7877\twhite-breasted nuthatch, Sitta carolinensis\n8018\tn01539925\t7816\tEnglish sparrow, house sparrow, Passer domesticus\n8019\tn01540090\t7816\ttree sparrow, Passer montanus\n8020\tn01834540\t7565\tthornbill\n8021\tn01834177\t7565\tArchilochus colubris\n8022\tn01843065\t7566\tjacamar\n8023\tn01838598\t7566\twoodpecker, peckerwood, pecker\n8024\tn01842235\t7566\tbarbet\n8025\tn01843719\t7566\ttoucanet\n8026\tn01843383\t7566\ttoucan\n8027\tn01839598\t8023\tflicker\n8028\tn01839330\t8023\tdowny woodpecker\n8029\tn01839086\t8023\tgreen woodpecker, Picus viridis\n8030\tn01841102\t8023\tsapsucker\n8031\tn01841679\t8023\twryneck\n8032\tn01840775\t8023\tredheaded woodpecker, redhead, Melanerpes erythrocephalus\n8033\tn01839750\t8023\tyellow-shafted flicker, Colaptes auratus, yellowhammer\n8034\tn01841441\t8030\tred-breasted sapsucker, Sphyrapicus varius ruber\n8035\tn01841288\t8030\tyellow-bellied sapsucker, Sphyrapicus varius\n8036\tn01827403\t7567\tkingfisher\n8037\tn01826364\t7567\troller\n8038\tn01830915\t7567\tmotmot, momot\n8039\tn01830042\t7567\tEuopean hoopoe, Upupa epops\n8040\tn01829413\t7567\thornbill\n8041\tn01826680\t7567\tEuropean roller, Coracias garrulus\n8042\tn01829869\t7567\thoopoe, hoopoo\n8043\tn01828970\t7567\tbee eater\n8044\tn01828556\t8036\tkookaburra, laughing jackass, Dacelo gigas\n8045\tn01827793\t8036\tEurasian kingfisher, Alcedo atthis\n8046\tn01828096\t8036\tbelted kingfisher, Ceryle alcyon\n8047\tn01616318\t7569\tvulture\n8048\tn01605630\t7569\thawk\n8049\tn01618503\t7569\tsecretary bird, Sagittarius serpentarius\n8050\tn01613294\t7569\teagle, bird of Jove\n8051\tn01621127\t7569\towl, bird of Minerva, bird of night, hooter\n8052\tn01616764\t8047\tOld World vulture\n8053\tn01618922\t8047\tNew World vulture, cathartid\n8054\tn01617766\t8052\tEgyptian vulture, Pharaoh's chicken, Neophron percnopterus\n8055\tn01617443\t8052\tbearded vulture, lammergeier, lammergeyer, Gypaetus barbatus\n8056\tn01618082\t8052\tblack vulture, Aegypius monachus\n8057\tn01617095\t8052\tgriffon vulture, griffon, Gyps fulvus\n8058\tn01620414\t8053\tblack vulture, carrion crow, Coragyps atratus\n8059\tn01619310\t8053\tbuzzard, turkey buzzard, turkey vulture, Cathartes aura\n8060\tn01620735\t8053\tking vulture, Sarcorhamphus papa\n8061\tn01619536\t8053\tcondor\n8062\tn01619835\t8061\tAndean condor, Vultur gryphus\n8063\tn01620135\t8061\tCalifornia condor, Gymnogyps californianus\n8064\tn01609751\t8048\tharrier\n8065\tn01606522\t8048\tgoshawk, Accipiter gentilis\n8066\tn01607812\t8048\tred-shouldered hawk, Buteo lineatus\n8067\tn01608265\t8048\thoney buzzard, Pernis apivorus\n8068\tn01610955\t8048\tfalcon\n8069\tn01610552\t8048\tharrier eagle, short-toed eagle\n8070\tn01606809\t8048\tCooper's hawk, blue darter, Accipiter cooperii\n8071\tn01616086\t8048\tosprey, fish hawk, fish eagle, sea eagle, Pandion haliaetus\n8072\tn01608432\t8048\tkite\n8073\tn01607600\t8048\trough-legged hawk, roughleg, Buteo lagopus\n8074\tn01607962\t8048\tbuzzard, Buteo buteo\n8075\tn01606672\t8048\tsparrow hawk, Accipiter nisus\n8076\tn01609956\t8064\tmarsh harrier, Circus Aeruginosus\n8077\tn01610226\t8064\tmarsh hawk, northern harrier, hen harrier, Circus cyaneus\n8078\tn01613177\t8068\tcarancha, Polyborus plancus\n8079\tn01611800\t8068\tgyrfalcon, gerfalcon, Falco rusticolus\n8080\tn01611472\t8068\tperegrine, peregrine falcon, Falco peregrinus\n8081\tn01612628\t8068\tcaracara\n8082\tn01612476\t8068\thobby, Falco subbuteo\n8083\tn01612275\t8068\tpigeon hawk, merlin, Falco columbarius\n8084\tn01611969\t8068\tkestrel, Falco tinnunculus\n8085\tn01612122\t8068\tsparrow hawk, American kestrel, kestrel, Falco sparverius\n8086\tn01609391\t8072\twhite-tailed kite, Elanus leucurus\n8087\tn01609062\t8072\tswallow-tailed kite, swallow-tailed hawk, Elanoides forficatus\n8088\tn01608814\t8072\tblack kite, Milvus migrans\n8089\tn01613807\t8050\teaglet\n8090\tn01614343\t8050\tgolden eagle, Aquila chrysaetos\n8091\tn01615121\t8050\tsea eagle\n8092\tn01614925\t8050\tbald eagle, American eagle, Haliaeetus leucocephalus\n8093\tn01614038\t8050\tharpy, harpy eagle, Harpia harpyja\n8094\tn01614556\t8050\ttawny eagle, Aquila rapax\n8095\tn01615703\t8091\tfishing eagle, Haliaeetus leucorhyphus\n8096\tn01615458\t8091\tern, erne, grey sea eagle, gray sea eagle, European sea eagle, white-tailed sea eagle, Haliatus albicilla\n8097\tn01622959\t8051\ttawny owl, Strix aluco\n8098\tn01621635\t8051\towlet\n8099\tn01623880\t8051\tspotted owl, Strix occidentalis\n8100\tn01623425\t8051\tscreech owl, Otus asio\n8101\tn01622352\t8051\thorned owl\n8102\tn01623615\t8051\tscreech owl\n8103\tn01622120\t8051\tlittle owl, Athene noctua\n8104\tn01625562\t8051\tbarn owl, Tyto alba\n8105\tn01623706\t8051\tscops owl\n8106\tn01624115\t8051\tOld World scops owl, Otus scops\n8107\tn01624537\t8051\thawk owl, Surnia ulula\n8108\tn01622483\t8051\tgreat horned owl, Bubo virginianus\n8109\tn01623110\t8051\tbarred owl, Strix varia\n8110\tn01624833\t8051\tlong-eared owl, Asio otus\n8111\tn01622779\t8051\tgreat grey owl, great gray owl, Strix nebulosa\n8112\tn01837072\t7570\tfrogmouth\n8113\tn01835276\t7570\tgoatsucker, nightjar, caprimulgid\n8114\tn01825278\t7571\ttouraco, turaco, turacou, turakoo\n8115\tn01823013\t7571\tcuckoo\n8116\tn01824575\t8115\tcoucal\n8117\tn01824035\t8115\troadrunner, chaparral cock, Geococcyx californianus\n8118\tn01521399\t7573\trhea, Rhea americana\n8119\tn01521756\t7573\trhea, nandu, Pterocnemia pennata\n8120\tn01518878\t7573\tostrich, Struthio camelus\n8121\tn01519873\t7573\temu, Dromaius novaehollandiae, Emu novaehollandiae\n8122\tn01519563\t7573\tcassowary\n8123\tn01789740\t7574\tdomestic fowl, fowl, poultry\n8124\tn01810700\t7574\tcolumbiform bird\n8125\tn01801876\t7574\tbrush turkey, Alectura lathami\n8126\tn01791463\t7574\tred jungle fowl, Gallus gallus\n8127\tn01791107\t7574\tjungle fowl, gallina\n8128\tn02153203\t7574\tgame bird\n8129\tn01794344\t8123\tturkey cock, gobbler, tom, tom turkey\n8130\tn01791954\t8123\tbantam\n8131\tn01794158\t8123\tturkey, Meleagris gallopavo\n8132\tn01809106\t8123\tguinea fowl, guinea, Numida meleagris\n8133\tn01791625\t8123\tchicken, Gallus gallus\n8134\tn01792429\t8133\tcockerel\n8135\tn01792158\t8133\tcock, rooster\n8136\tn01793435\t8133\tRhode Island red\n8137\tn01792042\t8133\tchick, biddy\n8138\tn01793715\t8133\tOrpington\n8139\tn01792640\t8133\then, biddy\n8140\tn01793249\t8139\tpullet\n8141\tn01792955\t8139\tbrood hen, broody, broody hen, setting hen, sitter\n8142\tn01815601\t8124\tsandgrouse, sand grouse\n8143\tn01811909\t8124\tpigeon\n8144\tn01814370\t8143\tdomestic pigeon\n8145\tn01812337\t8143\tdove\n8146\tn01813088\t8143\twood pigeon, ringdove, cushat, Columba palumbus\n8147\tn01812662\t8143\trock dove, rock pigeon, Columba livia\n8148\tn01814921\t8144\thoming pigeon, homer\n8149\tn01814755\t8144\troller, tumbler, tumbler pigeon\n8150\tn01813532\t8145\tStreptopelia turtur\n8151\tn01813385\t8145\tturtledove\n8152\tn01813948\t8145\tAustralian turtledove, turtledove, Stictopelia cuneata\n8153\tn01814217\t8145\tmourning dove, Zenaidura macroura\n8154\tn01802721\t8128\tphasianid\n8155\tn01810268\t8128\ttinamou, partridge\n8156\tn01795088\t8128\tgrouse\n8157\tn01803078\t8154\tpheasant\n8158\tn01806567\t8154\tquail\n8159\tn01807496\t8154\tpartridge\n8160\tn01807105\t8157\ttragopan\n8161\tn01803362\t8157\tring-necked pheasant, Phasianus colchicus\n8162\tn01804163\t8157\tgolden pheasant, Chrysolophus pictus\n8163\tn01805801\t8157\tpeafowl, bird of Juno\n8164\tn01806297\t8163\tpeahen\n8165\tn01806364\t8163\tblue peafowl, Pavo cristatus\n8166\tn01806143\t8163\tpeacock\n8167\tn01806467\t8163\tgreen peafowl, Pavo muticus\n8168\tn01804478\t8158\tbobwhite, bobwhite quail, partridge\n8169\tn01806847\t8158\tCalifornia quail, Lofortyx californicus\n8170\tn01804653\t8158\tnorthern bobwhite, Colinus virginianus\n8171\tn01808140\t8159\tred-legged partridge, Alectoris ruffa\n8172\tn01807828\t8159\tHungarian partridge, grey partridge, gray partridge, Perdix perdix\n8173\tn01797307\t8156\tspruce grouse, Canachites canadensis\n8174\tn01798484\t8156\tprairie chicken, prairie grouse, prairie fowl\n8175\tn01797020\t8156\tcapercaillie, capercailzie, horse of the wood, Tetrao urogallus\n8176\tn01797886\t8156\truffed grouse, partridge, Bonasa umbellus\n8177\tn01797601\t8156\tsage grouse, sage hen, Centrocercus urophasianus\n8178\tn01796729\t8156\tmoorhen\n8179\tn01795545\t8156\tblack grouse\n8180\tn01796340\t8156\tptarmigan\n8181\tn01819734\t7576\tcockateel, cockatiel, cockatoo parrot, Nymphicus hollandicus\n8182\tn01821203\t7576\tparakeet, parrakeet, parroket, paraquet, paroquet, parroquet\n8183\tn01819115\t7576\tcockatoo\n8184\tn01817346\t7576\tpoll, poll parrot\n8185\tn01818832\t7576\tkea, Nestor notabilis\n8186\tn01817953\t7576\tAfrican grey, African gray, Psittacus erithacus\n8187\tn01818515\t7576\tmacaw\n8188\tn01818299\t7576\tamazon\n8189\tn01820052\t7576\tlovebird\n8190\tn01820348\t7576\tlory\n8191\tn01817263\t7576\tpopinjay\n8192\tn01821869\t8182\tbudgerigar, budgereegah, budgerygah, budgie, grass parakeet, lovebird, shell parakeet, Melopsittacus undulatus\n8193\tn01822300\t8182\tring-necked parakeet, Psittacula krameri\n8194\tn01819313\t8183\tsulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita\n8195\tn01819465\t8183\tpink cockatoo, Kakatoe leadbeateri\n8196\tn01821076\t8190\trainbow lorikeet, Trichoglossus moluccanus\n8197\tn01820546\t8190\tlorikeet\n8198\tn01317089\t6469\tbeast of burden, jument\n8199\tn01317294\t6469\tdraft animal\n8200\tn01918744\t6470\tctenophore, comb jelly\n8201\tn01922303\t6470\tworm\n8202\tn01940736\t6470\tmollusk, mollusc, shellfish\n8203\tn02316707\t6470\techinoderm\n8204\tn01909422\t6470\tcoelenterate, cnidarian\n8205\tn01767661\t6470\tarthropod\n8206\tn01906749\t6470\tsponge, poriferan, parazoan\n8207\tn01930112\t8201\tnematode, nematode worm, roundworm\n8208\tn01934440\t8201\tannelid, annelid worm, segmented worm\n8209\tn01924916\t8201\tflatworm, platyhelminth\n8210\tn01938454\t8208\tmedicinal leech, Hirudo medicinalis\n8211\tn01935395\t8208\tearthworm, angleworm, fishworm, fishing worm, wiggler, nightwalker, nightcrawler, crawler, dew worm, red worm\n8212\tn01955084\t8202\tchiton, coat-of-mail shell, sea cradle, polyplacophore\n8213\tn01955933\t8202\tbivalve, pelecypod, lamellibranch\n8214\tn01968315\t8202\tcephalopod, cephalopod mollusk\n8215\tn01942177\t8202\tgastropod, univalve\n8216\tn01960459\t8213\toyster\n8217\tn01963317\t8213\tark shell\n8218\tn01956481\t8213\tclam\n8219\tn01963571\t8213\tmussel\n8220\tn01959985\t8213\tcockle\n8221\tn01965889\t8213\tscallop, scollop, escallop\n8222\tn01961985\t8213\tpearl oyster, Pinctada margaritifera\n8223\tn01957335\t8218\tsoft-shell clam, steamer, steamer clam, long-neck clam, Mya arenaria\n8224\tn01958038\t8218\tquahog, quahaug, hard-shell clam, hard clam, round clam, Venus mercenaria, Mercenaria mercenaria\n8225\tn01959492\t8218\tgiant clam, Tridacna gigas\n8226\tn01964441\t8219\tfreshwater mussel, freshwater clam\n8227\tn01964271\t8219\tedible mussel, Mytilus edulis\n8228\tn01965529\t8219\tzebra mussel, Dreissena polymorpha\n8229\tn01969726\t8214\toctopod\n8230\tn01968897\t8214\tchambered nautilus, pearly nautilus, nautilus\n8231\tn01972541\t8214\tcuttlefish, cuttle\n8232\tn01970164\t8229\toctopus, devilfish\n8233\tn01970667\t8229\tpaper nautilus, nautilus, Argonaut, Argonauta argo\n8234\tn01951274\t8215\tsea hare, Aplysia punctata\n8235\tn01953361\t8215\tcowrie, cowry\n8236\tn01943899\t8215\tconch\n8237\tn01945845\t8215\tseasnail\n8238\tn01943087\t8215\tormer, sea-ear, Haliotis tuberculata\n8239\tn01953762\t8215\ttiger cowrie, Cypraea tigris\n8240\tn01950731\t8215\tsea slug, nudibranch\n8241\tn01945685\t8215\tslug\n8242\tn01944390\t8215\tsnail\n8243\tn01949085\t8237\tcommon limpet, Patella vulgata\n8244\tn01947396\t8237\twhelk\n8245\tn01946630\t8237\tnerita\n8246\tn01944812\t8242\tedible snail, Helix pomatia\n8247\tn01945143\t8242\tbrown snail, Helix aspersa\n8248\tn01944955\t8242\tgarden snail\n8249\tn02317335\t8203\tstarfish, sea star\n8250\tn02321170\t8203\tfeather star, comatulid\n8251\tn02319555\t8203\tsand dollar\n8252\tn02319095\t8203\tsea urchin\n8253\tn02321529\t8203\tsea cucumber, holothurian\n8254\tn02317781\t8203\tbrittle star, brittle-star, serpent star\n8255\tn01909906\t8204\tpolyp\n8256\tn01914163\t8204\tanthozoan, actinozoan\n8257\tn01913166\t8204\tPortuguese man-of-war, man-of-war, jellyfish\n8258\tn01910747\t8204\tjellyfish\n8259\tn01915700\t8256\tsea pen\n8260\tn01914609\t8256\tsea anemone, anemone\n8261\tn01915811\t8256\tcoral\n8262\tn01916925\t8261\tstony coral, madrepore, madriporian coral\n8263\tn01916187\t8261\tgorgonian, gorgonian coral\n8264\tn01916481\t8261\tsea fan\n8265\tn01917882\t8262\tmushroom coral\n8266\tn01917289\t8262\tbrain coral\n8267\tn01784675\t8205\tcentipede\n8268\tn01974773\t8205\tcrustacean\n8269\tn01768244\t8205\ttrilobite\n8270\tn01786646\t8205\tmillipede, millepede, milliped\n8271\tn01769347\t8205\tarachnid, arachnoid\n8272\tn01787835\t8205\thorseshoe crab, king crab, Limulus polyphemus, Xiphosurus polyphemus\n8273\tn02309242\t8205\tinstar\n8274\tn02159955\t8205\tinsect\n8275\tn01785667\t8205\thouse centipede, Scutigera coleoptrata\n8276\tn01994910\t8268\tdaphnia, water flea\n8277\tn01976868\t8268\tbrachyuran\n8278\tn01990007\t8268\tmantis shrimp, mantis crab\n8279\tn01975687\t8268\tmalacostracan crustacean\n8280\tn01976146\t8268\tdecapod crustacean, decapod\n8281\tn01990800\t8279\tisopod\n8282\tn01992773\t8279\tamphipod\n8283\tn01991520\t8281\tpill bug\n8284\tn01991028\t8281\twoodlouse, slater\n8285\tn01982650\t8280\tlobster\n8286\tn01986806\t8280\tshrimp\n8287\tn01986214\t8280\thermit crab\n8288\tn01987545\t8280\tprawn\n8289\tn01976957\t8280\tcrab\n8290\tn01985128\t8280\tcrayfish, crawfish, crawdad, crawdaddy\n8291\tn01984245\t8285\tNorway lobster, Nephrops norvegicus\n8292\tn01984695\t8285\tspiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish\n8293\tn01983481\t8285\tAmerican lobster, Northern lobster, Maine lobster, Homarus americanus\n8294\tn01981276\t8289\tking crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica\n8295\tn01979874\t8289\tblue crab, Callinectes sapidus\n8296\tn01978455\t8289\trock crab, Cancer irroratus\n8297\tn01978287\t8289\tDungeness crab, Cancer magister\n8298\tn01980166\t8289\tfiddler crab\n8299\tn01982068\t8289\tEuropean spider crab, king crab, Maja squinado\n8300\tn01770393\t8271\tscorpion\n8301\tn01770081\t8271\tharvestman, daddy longlegs, Phalangium opilio\n8302\tn01776192\t8271\tacarine\n8303\tn01772222\t8271\tspider\n8304\tn01776313\t8302\ttick\n8305\tn01779629\t8302\tmite\n8306\tn01779148\t8302\twood tick, American dog tick, Dermacentor variabilis\n8307\tn01772664\t8303\torb-weaving spider\n8308\tn01775370\t8303\tEuropean wolf spider, tarantula, Lycosa tarentula\n8309\tn01774750\t8303\ttarantula\n8310\tn01775062\t8303\twolf spider, hunting spider\n8311\tn01773797\t8303\tgarden spider, Aranea diademata\n8312\tn01774384\t8303\tblack widow, Latrodectus mactans\n8313\tn01773157\t8303\tblack and gold garden spider, Argiope aurantia\n8314\tn01773549\t8303\tbarn spider, Araneus cavaticus\n8315\tn02226183\t8274\torthopterous insect, orthopteron, orthopteran\n8316\tn02236896\t8274\themipterous insect, bug, hemipteran, hemipteron\n8317\tn02263378\t8274\tneuropteron, neuropteran, neuropterous insect\n8318\tn02232951\t8274\tdictyopterous insect\n8319\tn02163297\t8274\tcollembolan, springtail\n8320\tn02262449\t8274\tmayfly, dayfly, shadfly\n8321\tn02246011\t8274\thomopterous insect, homopteran\n8322\tn02188699\t8274\tdipterous insect, two-winged insects, dipteran, dipteron\n8323\tn02272871\t8274\tearwig\n8324\tn02273392\t8274\tcommon European earwig, Forficula auricularia\n8325\tn02231052\t8274\tphasmid, phasmid insect\n8326\tn02161457\t8274\tpollinator\n8327\tn02236355\t8274\tbug\n8328\tn02312427\t8274\tpupa\n8329\tn02231487\t8274\twalking stick, walkingstick, stick insect\n8330\tn02162561\t8274\tscorpion fly\n8331\tn02164464\t8274\tbeetle\n8332\tn02241569\t8274\theteropterous insect\n8333\tn02262803\t8274\tstonefly, stone fly, plecopteran\n8334\tn02206270\t8274\thymenopterous insect, hymenopteran, hymenopteron, hymenopter\n8335\tn02274024\t8274\tlepidopterous insect, lepidopteron, lepidopteran\n8336\tn02312640\t8274\tchrysalis\n8337\tn02268148\t8274\todonate\n8338\tn02270623\t8274\tsilverfish, Lepisma saccharina\n8339\tn02207805\t8274\tworker bee\n8340\tn02226429\t8315\tgrasshopper, hopper\n8341\tn02229544\t8315\tcricket\n8342\tn02228341\t8340\tkatydid\n8343\tn02226970\t8340\tlocust\n8344\tn02241426\t8316\ttrue bug\n8345\tn02240517\t8316\tbedbug, bed bug, chinch, Cimex lectularius\n8346\tn02266050\t8317\tdobson, dobsonfly, dobson fly, Corydalus cornutus\n8347\tn02264885\t8317\tgreen lacewing, chrysopid, stink fly\n8348\tn02264363\t8317\tlacewing, lacewing fly\n8349\tn02236044\t8318\tmantis, mantid\n8350\tn02236241\t8318\tpraying mantis, praying mantid, Mantis religioso\n8351\tn02233338\t8318\tcockroach, roach\n8352\tn02234355\t8351\tAmerican cockroach, Periplaneta americana\n8353\tn02234848\t8351\tGerman cockroach, Croton bug, crotonbug, water bug, Blattella germanica\n8354\tn02233943\t8351\toriental cockroach, oriental roach, Asiatic cockroach, blackbeetle, Blatta orientalis\n8355\tn02251775\t8321\tplant louse, louse\n8356\tn02256656\t8321\tcicada, cicala\n8357\tn02258198\t8321\tmeadow spittlebug, Philaenus spumarius\n8358\tn02257284\t8321\tseventeen-year locust, periodical cicada, Magicicada septendecim\n8359\tn02250822\t8321\tmealybug, mealy bug\n8360\tn02259212\t8321\tleafhopper\n8361\tn02252226\t8321\taphid\n8362\tn02200198\t8322\tmosquito\n8363\tn02205219\t8322\tcrane fly, daddy longlegs\n8364\tn02203152\t8322\tmidge\n8365\tn02196344\t8322\tfruit fly, pomace fly\n8366\tn02190166\t8322\tfly\n8367\tn02198859\t8322\thorse tick, horsefly, Hippobosca equina\n8368\tn02196119\t8322\trobber fly, bee killer\n8369\tn02201000\t8362\tAsian tiger mosquito, Aedes albopictus\n8370\tn02202006\t8362\tcommon mosquito, Culex pipiens\n8371\tn02195819\t8366\tbee fly\n8372\tn02195526\t8366\thorsefly, cleg, clegg, horse fly\n8373\tn02192513\t8366\tflesh fly, Sarcophaga carnaria\n8374\tn02191773\t8366\tblowfly, blow fly\n8375\tn02190790\t8366\thousefly, house fly, Musca domestica\n8376\tn02192252\t8374\tgreenbottle, greenbottle fly\n8377\tn02191979\t8374\tbluebottle, Calliphora vicina\n8378\tn02169974\t8331\tColorado potato beetle, Colorado beetle, potato bug, potato beetle, Leptinotarsa decemlineata\n8379\tn02168245\t8331\tfirefly, lightning bug\n8380\tn02167151\t8331\tground beetle, carabid beetle\n8381\tn02169023\t8331\tsawyer, sawyer beetle\n8382\tn02165456\t8331\tladybug, ladybeetle, lady beetle, ladybird, ladybird beetle\n8383\tn02171453\t8331\tlamellicorn beetle\n8384\tn02180875\t8331\trove beetle\n8385\tn02183096\t8331\tAsian longhorned beetle, Anoplophora glabripennis\n8386\tn02169497\t8331\tleaf beetle, chrysomelid\n8387\tn02176261\t8331\telaterid beetle, elater, elaterid\n8388\tn02176439\t8331\tclick beetle, skipjack, snapping beetle\n8389\tn02165105\t8331\ttiger beetle\n8390\tn02177972\t8331\tweevil\n8391\tn02168699\t8331\tlong-horned beetle, longicorn, longicorn beetle\n8392\tn02166567\t8382\tHippodamia convergens\n8393\tn02166826\t8382\tvedalia, Rodolia cardinalis\n8394\tn02171869\t8383\tscarabaeid beetle, scarabaeid, scarabaean\n8395\tn02175916\t8383\tstag beetle\n8396\tn02175569\t8394\trose chafer, rose beetle, Cetonia aurata\n8397\tn02172870\t8394\tJune beetle, June bug, May bug, May beetle\n8398\tn02173373\t8394\tJapanese beetle, Popillia japonica\n8399\tn02174001\t8394\trhinoceros beetle\n8400\tn02172182\t8394\tdung beetle\n8401\tn02172518\t8394\tscarab, scarabaeus, Scarabaeus sacer\n8402\tn02174659\t8394\tcockchafer, May bug, May beetle, Melolontha melolontha\n8403\tn02243562\t8332\twater strider, pond-skater, water skater\n8404\tn02244797\t8332\twheel bug, Arilus cristatus\n8405\tn02212062\t8334\twasp\n8406\tn02218371\t8334\tichneumon fly\n8407\tn02219486\t8334\tant, emmet, pismire\n8408\tn02206856\t8334\tbee\n8409\tn02216211\t8405\tcicada killer, Sphecius speciosis\n8410\tn02215770\t8405\tdigger wasp\n8411\tn02212602\t8405\tvespid, vespid wasp\n8412\tn02213107\t8411\thornet\n8413\tn02212958\t8411\tpaper wasp\n8414\tn02213543\t8411\tcommon wasp, Vespula vulgaris\n8415\tn02213239\t8412\tgiant hornet, Vespa crabro\n8416\tn02213788\t8412\tyellow jacket, yellow hornet, Vespula maculifrons\n8417\tn02220804\t8407\tcarpenter ant\n8418\tn02221083\t8407\tfire ant\n8419\tn02221414\t8407\twood ant, Formica rufa\n8420\tn02209354\t8408\tcarpenter bee\n8421\tn02208280\t8408\thoneybee, Apis mellifera\n8422\tn02211627\t8408\tmason bee\n8423\tn02210427\t8408\tandrena, andrenid, mining bee\n8424\tn02211444\t8408\tleaf-cutting bee, leaf-cutter, leaf-cutter bee\n8425\tn02209624\t8408\tbumblebee, humblebee\n8426\tn02208498\t8421\tAfricanized bee, Africanized honey bee, killer bee, Apis mellifera scutellata, Apis mellifera adansonii\n8427\tn02208848\t8421\tblack bee, German bee\n8428\tn02274259\t8335\tbutterfly\n8429\tn02283201\t8335\tmoth\n8430\tn02281787\t8428\tlycaenid, lycaenid butterfly\n8431\tn02274822\t8428\tnymphalid, nymphalid butterfly, brush-footed butterfly, four-footed butterfly\n8432\tn02281406\t8428\tsulphur butterfly, sulfur butterfly\n8433\tn02277742\t8428\tringlet, ringlet butterfly\n8434\tn02279972\t8428\tmonarch, monarch butterfly, milkweed butterfly, Danaus plexippus\n8435\tn02280649\t8428\tcabbage butterfly\n8436\tn02282257\t8430\tblue\n8437\tn02282903\t8430\thairstreak, hairstreak butterfly\n8438\tn02282385\t8430\tcopper\n8439\tn02275773\t8431\ttortoiseshell, tortoiseshell butterfly\n8440\tn02278210\t8431\tfritillary\n8441\tn02276258\t8431\tadmiral\n8442\tn02276902\t8431\tbanded purple, white admiral, Limenitis arthemis\n8443\tn02279257\t8431\tpeacock, peacock butterfly, Inachis io\n8444\tn02277094\t8431\tred-spotted purple, Limenitis astyanax\n8445\tn02276078\t8431\tpainted beauty, Vanessa virginiensis\n8446\tn02275560\t8431\tmourning cloak, mourning cloak butterfly, Camberwell beauty, Nymphalis antiopa\n8447\tn02277268\t8431\tviceroy, Limenitis archippus\n8448\tn02276355\t8431\tred admiral, Vanessa atalanta\n8449\tn02276749\t8431\twhite admiral, Limenitis camilla\n8450\tn02278024\t8431\tcomma, comma butterfly, Polygonia comma\n8451\tn02281015\t8435\tsmall white, Pieris rapae\n8452\tn02281136\t8435\tlarge white, Pieris brassicae\n8453\tn02305929\t8429\tcinnabar, cinnabar moth, Callimorpha jacobeae\n8454\tn02301452\t8429\tsaturniid, saturniid moth\n8455\tn02295064\t8429\tnoctuid moth, noctuid, owlet moth\n8456\tn02298541\t8429\thawkmoth, hawk moth, sphingid, sphinx moth, hummingbird moth\n8457\tn02284611\t8429\ttea tortrix, tortrix, Homona coffearia\n8458\tn02287004\t8429\tgeometrid, geometrid moth\n8459\tn02291572\t8429\ttineid, tineid moth\n8460\tn02305085\t8454\tatlas moth, Atticus atlas\n8461\tn02301935\t8454\temperor, emperor moth, Saturnia pavonia\n8462\tn02304432\t8454\tpolyphemus moth, Antheraea polyphemus\n8463\tn02303284\t8454\tcecropia, cecropia moth, Hyalophora cecropia\n8464\tn02302969\t8454\tluna moth, Actias luna\n8465\tn02292692\t8459\tcarpet moth, tapestry moth, Trichophaga tapetzella\n8466\tn02291748\t8459\tclothes moth\n8467\tn02268443\t8337\tdragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk\n8468\tn02268853\t8337\tdamselfly\n8469\tn01321123\t6471\then\n8470\tn02376679\t6471\tfilly\n8471\tn01323493\t6471\tdam\n8472\tn01338685\t5175\therpes, herpes virus\n8473\tn01387065\t5175\tprotoctist\n8474\tn01339083\t8472\therpes simplex 1, HS1, HSV-1, HSV-I\n8475\tn01339336\t8472\therpes zoster, herpes zoster virus\n8476\tn01339801\t8472\tcytomegalovirus, CMV\n8477\tn01339471\t8472\therpes varicella zoster, herpes varicella zoster virus\n8478\tn01397114\t8473\talga, algae\n8479\tn01389507\t8473\tprotozoan, protozoon\n8480\tn01397871\t8478\tseagrass\n8481\tn01410457\t8478\tpond scum\n8482\tn01407798\t8478\tgreen algae, chlorophyte\n8483\tn01424420\t8479\tplasmodium, Plasmodium vivax, malaria parasite\n8484\tn01392380\t8479\tameba, amoeba\n8485\tn01395254\t8479\tciliate, ciliated protozoan, ciliophoran\n8486\tn01396048\t8479\tparamecium, paramecia\n8487\tn11542137\t5176\tsphagnum, sphagnum moss, peat moss, bog moss\n8488\tn11544015\t5176\thepatica, Marchantia polymorpha\n8489\tn11542640\t5176\tliverwort, hepatic\n8490\tn09626238\t5177\tpeer, equal, match, compeer\n8491\tn09856671\t5177\tbirth\n8492\tn09605289\t5177\tadult, grownup\n8493\tn09622049\t5177\tjuvenile, juvenile person\n8494\tn09971273\t5177\tcountrywoman\n8495\tn09882716\t5177\tbusinessperson, bourgeois\n8496\tn09621232\t5177\tnative\n8497\tn09902954\t5177\tcelebrant, celebrator, celebrater\n8498\tn09620794\t5177\tnative, indigen, indigene, aborigine, aboriginal\n8499\tn09727440\t5177\tFilipino\n8500\tn09624168\t5177\tmale, male person\n8501\tn09752519\t5177\tGemini, Twin\n8502\tn10378026\t5177\tonlooker, looker-on\n8503\tn10500217\t5177\tqueen\n8504\tn10514429\t5177\treferee, ref\n8505\tn09610405\t5177\tcommoner, common man, common person\n8506\tn09617867\t5177\texpert\n8507\tn10355449\t5177\tnewcomer, fledgling, fledgeling, starter, neophyte, freshman, newbie, entrant\n8508\tn09618957\t5177\tface\n8509\tn10002760\t5177\tdemonstrator, protester\n8510\tn10384496\t5177\torphan\n8511\tn09637339\t5177\tBlack woman\n8512\tn09613191\t5177\tcontestant\n8513\tn09836160\t5177\tbullfighter, toreador\n8514\tn10274815\t5177\tlowerclassman, underclassman\n8515\tn09890749\t5177\tcandidate, prospect\n8516\tn10112591\t5177\tfriend\n8517\tn10260706\t5177\tlife\n8518\tn09606527\t5177\tanomaly, unusual person\n8519\tn09767197\t5177\tactor, doer, worker\n8520\tn10709529\t5177\tthrower\n8521\tn09976429\t5177\tcreature, wight\n8522\tn09918554\t5177\tchild, baby\n8523\tn10588074\t5177\tsheep\n8524\tn10565667\t5177\tscuba diver\n8525\tn09990415\t5177\tdancer, social dancer\n8526\tn10120330\t5177\tgarbage man, garbageman, garbage collector, garbage carter, garbage hauler, refuse collector, dustman\n8527\tn09616922\t5177\tentertainer\n8528\tn09622302\t5177\tlover\n8529\tn09630641\t5177\tunfortunate, unfortunate person\n8530\tn09796809\t5177\tanti\n8531\tn09614684\t5177\tdefender, guardian, protector, shielder\n8532\tn10635788\t5177\tsphinx\n8533\tn09645091\t5177\tIndian, American Indian, Red Indian\n8534\tn10405694\t5177\tpatient\n8535\tn09676884\t5177\tSlav\n8536\tn09638875\t5177\tWhite, White person, Caucasian\n8537\tn09874428\t5177\tbrick\n8538\tn09627906\t5177\trecipient, receiver\n8539\tn09628382\t5177\treligious person\n8540\tn10522759\t5177\trescuer, recoverer, saver\n8541\tn10247880\t5177\tLatin\n8542\tn09624980\t5177\tmoney handler, money dealer\n8543\tn10529231\t5177\trich person, wealthy person, have\n8544\tn10024362\t5177\tdomestic partner, significant other, spousal equivalent, spouse equivalent\n8545\tn09614315\t5177\tcreator\n8546\tn09612848\t5177\tconsumer\n8547\tn09632518\t5177\tworker\n8548\tn10147935\t5177\tgroom, bridegroom\n8549\tn09871867\t5177\tboy scout\n8550\tn09620078\t5177\tinhabitant, habitant, dweller, denizen, indweller\n8551\tn09634494\t5177\tAfrican\n8552\tn10077593\t5177\tfan, buff, devotee, lover\n8553\tn10040945\t5177\teager beaver, busy bee, live wire, sharpie, sharpy\n8554\tn09623038\t5177\tleader\n8555\tn10560106\t5177\tschoolmate, classmate, schoolfellow, class fellow\n8556\tn10289039\t5177\tman\n8557\tn10422405\t5177\tphilatelist, stamp collector\n8558\tn09774783\t5177\tadvocate, advocator, proponent, exponent\n8559\tn10042845\t5177\teccentric, eccentric person, flake, oddball, geek\n8560\tn09831962\t5177\tbad person\n8561\tn10726031\t5177\ttransvestite, cross-dresser\n8562\tn09923673\t5177\tcitizen\n8563\tn09610660\t5177\tcommunicator\n8564\tn09626031\t5177\tnonworker\n8565\tn10401331\t5177\tparrot\n8566\tn09621545\t5177\tintellectual, intellect\n8567\tn10362319\t5177\tnonsmoker\n8568\tn10665698\t5177\tstudent, pupil, educatee\n8569\tn09906449\t5177\tchameleon\n8570\tn09939313\t5177\tcombatant, battler, belligerent, fighter, scrapper\n8571\tn10439373\t5177\tplatinum blond, platinum blonde\n8572\tn09607630\t5177\tappointee, appointment\n8573\tn09631463\t5177\tunpleasant person, disagreeable person\n8574\tn10451450\t5177\tpolitician\n8575\tn10541229\t5177\truler, swayer\n8576\tn09793141\t5177\tancient\n8577\tn10633450\t5177\tspectator, witness, viewer, watcher, looker\n8578\tn10530959\t5177\tright-hander, right hander, righthander\n8579\tn09629752\t5177\ttraveler, traveller\n8580\tn10560637\t5177\tscientist\n8581\tn10431625\t5177\tpicker, chooser, selector\n8582\tn09619168\t5177\tfemale, female person\n8583\tn09763784\t5177\tacquaintance, friend\n8584\tn09636339\t5177\tBlack, Black person, blackamoor, Negro, Negroid\n8585\tn10235549\t5177\trelative, relation\n8586\tn09845401\t5177\tbeard\n8587\tn10513823\t5177\tredhead, redheader, red-header, carrottop\n8588\tn10610465\t5177\tsleeper, slumberer\n8589\tn09951274\t5177\tcomputer user\n8590\tn09816771\t8490\tassociate\n8591\tn10401829\t8590\tparticipant\n8592\tn10307234\t8590\tmember, fellow member\n8593\tn10505613\t8590\traiser\n8594\tn10148035\t8591\tgroom, bridegroom\n8595\tn09874725\t8591\tbride\n8596\tn09944022\t8592\tcommissioner\n8597\tn10015485\t8592\tdirector\n8598\tn10728624\t8592\ttribesman\n8599\tn10308168\t8592\tboard member\n8600\tn10200781\t8492\timportant person, influential person, personage\n8601\tn10480253\t8492\tprofessional, professional person\n8602\tn10376523\t8492\toldster, old person, senior citizen, golden ager\n8603\tn09903153\t8600\tcelebrity, famous person\n8604\tn10748620\t8600\tvery important person, VIP, high-up, dignitary, panjandrum, high muckamuck\n8605\tn10581890\t8601\tserjeant-at-law, serjeant, sergeant-at-law, sergeant\n8606\tn10045713\t8601\teducator, pedagogue, pedagog\n8607\tn10165109\t8601\thealth professional, primary care provider, PCP, health care provider, caregiver\n8608\tn10694258\t8606\tteacher, instructor\n8609\tn10509063\t8606\treading teacher\n8610\tn10559996\t8606\tschoolmaster\n8611\tn10366966\t8607\tnurse\n8612\tn10305802\t8607\tmedical practitioner, medical man\n8613\tn10421470\t8607\tpharmacist, druggist, chemist, apothecary, pill pusher, pill roller\n8614\tn10164492\t8611\thead nurse\n8615\tn10477713\t8611\tprobationer, student nurse\n8616\tn10020890\t8612\tdoctor, doc, physician, MD, Dr., medico\n8617\tn10679174\t8616\tsurgeon, operating surgeon, sawbones\n8618\tn10632576\t8616\tspecialist, medical specialist\n8619\tn10189278\t8616\thouse physician, resident, resident physician\n8620\tn09894445\t8618\tcardiologist, heart specialist, heart surgeon\n8621\tn10504206\t8618\tradiologist, radiotherapist\n8622\tn10559288\t8493\tschoolchild, school-age child, pupil\n8623\tn09917593\t8493\tchild, kid, youngster, minor, shaver, nipper, small fry, tiddler, tike, tyke, fry, nestling\n8624\tn09833441\t8623\tbairn\n8625\tn10384392\t8623\torphan\n8626\tn10060352\t8495\tentrepreneur, enterpriser\n8627\tn09840217\t8495\tbaron, big businessman, business leader, king, magnate, mogul, power, top executive, tycoon\n8628\tn09777012\t8495\tagent, factor, broker\n8629\tn10309896\t8495\tmerchant, merchandiser\n8630\tn09905185\t8495\tcertified public accountant, CPA\n8631\tn10686885\t8628\tsyndic\n8632\tn10209731\t8628\tinsurance broker, insurance agent, general agent, underwriter\n8633\tn10093818\t8629\tfishmonger, fishwife\n8634\tn10754189\t8629\tvintner, wine merchant\n8635\tn10411551\t8629\tpeddler, pedlar, packman, hawker, pitchman\n8636\tn10577284\t8629\tseller, marketer, vender, vendor, trafficker\n8637\tn10285313\t8500\tmale child, boy\n8638\tn10333439\t8500\tmother's boy, mamma's boy, mama's boy\n8639\tn10624074\t8500\tson, boy\n8640\tn10287213\t8500\tman, adult male\n8641\tn09871229\t8637\tcub, lad, laddie, sonny, sonny boy\n8642\tn10078719\t8637\tfarm boy\n8643\tn09843443\t8637\tbat boy\n8644\tn10173771\t8640\tHerr\n8645\tn10192839\t8640\thunk\n8646\tn10419785\t8640\tPeter Pan\n8647\tn10406266\t8640\tpatriarch\n8648\tn10288964\t8640\tadonis\n8649\tn10804287\t8640\tyoung buck, young man\n8650\tn10665587\t8640\tstud, he-man, macho-man\n8651\tn10153414\t8640\tguy, cat, hombre, bozo\n8652\tn10406765\t8640\tpatriarch, paterfamilias\n8653\tn10611613\t8506\tsleuth, sleuthhound\n8654\tn09805324\t8506\tarcher, bowman\n8655\tn09824361\t8506\tauthority\n8656\tn10316360\t8506\tmilitary attache\n8657\tn10707233\t8506\ttherapist, healer\n8658\tn10696508\t8506\ttechnician\n8659\tn09858165\t8506\tblack belt\n8660\tn10175248\t8655\thigh priest\n8661\tn09979321\t8655\tcritic\n8662\tn10692482\t8661\ttaster, taste tester, taste-tester, sampler\n8663\tn10396106\t8661\tpanelist, panellist\n8664\tn10427764\t8657\tphysical therapist, physiotherapist\n8665\tn10385566\t8657\tosteopath, osteopathist\n8666\tn10439851\t8512\tplayer, participant\n8667\tn09820263\t8512\tathlete, jock\n8668\tn10533013\t8512\trival, challenger, competitor, competition, contender\n8669\tn09854421\t8666\tbilliard player\n8670\tn10304914\t8666\tmedalist, medallist, medal winner\n8671\tn10575463\t8666\tseeded player, seed\n8672\tn09915651\t8666\tchess master\n8673\tn10453184\t8666\tpool player\n8674\tn10101634\t8667\tfootball player, footballer\n8675\tn10701180\t8667\ttennis player\n8676\tn09835230\t8667\tball hawk\n8677\tn10746931\t8667\tvaulter, pole vaulter, pole jumper\n8678\tn10542888\t8667\trunner\n8679\tn10604491\t8667\tskater\n8680\tn09764381\t8667\tacrobat\n8681\tn09929298\t8667\tclimber\n8682\tn10019406\t8667\tdiver, plunger\n8683\tn09785659\t8667\talpinist\n8684\tn10618342\t8667\tsoccer player\n8685\tn10782471\t8667\twinger\n8686\tn10701644\t8667\ttennis pro, professional tennis player\n8687\tn10105733\t8667\tforward\n8688\tn10638922\t8667\tsport, sportsman, sportswoman\n8689\tn09842047\t8667\tbasketball player, basketeer, cager\n8690\tn10315561\t8667\tmiler\n8691\tn09835506\t8667\tballplayer, baseball player\n8692\tn10153594\t8667\tgymnast\n8693\tn09830194\t8674\tback\n8694\tn10263411\t8674\tlineman\n8695\tn10157128\t8693\thalfback\n8696\tn10498816\t8693\tquarterback, signal caller, field general\n8697\tn10689306\t8693\ttailback\n8698\tn10604380\t8679\tskateboarder\n8699\tn10634849\t8679\tspeedskater, speed skater\n8700\tn09923561\t8680\tcircus acrobat\n8701\tn09764598\t8680\taerialist\n8702\tn10086568\t8691\tfielder\n8703\tn10007684\t8691\tdesignated hitter\n8704\tn09841696\t8691\tbase runner, runner\n8705\tn10321340\t8691\tminor leaguer, bush leaguer\n8706\tn10092488\t8702\tfirst baseman, first sacker\n8707\tn10386984\t8702\toutfielder\n8708\tn10387196\t8702\tright fielder\n8709\tn10205457\t8702\tinfielder\n8710\tn10578021\t8668\tsemifinalist\n8711\tn10098710\t8668\tfoe, enemy\n8712\tn09836519\t8513\tmatador\n8713\tn09836786\t8513\tpicador\n8714\tn09836343\t8513\tbanderillero\n8715\tn09877951\t8516\tbuddy, brother, chum, crony, pal, sidekick\n8716\tn10300154\t8516\tmate\n8717\tn10095769\t8516\tflatmate\n8718\tn10435988\t8520\tpitcher, hurler, twirler\n8719\tn09930257\t8718\tcloser, finisher\n8720\tn10387324\t8718\tright-handed pitcher, right-hander\n8721\tn10098862\t8525\tfolk dancer\n8722\tn10642596\t8721\tsquare dancer\n8723\tn10331167\t8721\tmorris dancer\n8724\tn09946814\t8527\tcompere\n8725\tn10299250\t8527\tmaster of ceremonies, emcee, host\n8726\tn09896170\t8527\tcaricaturist\n8727\tn10415638\t8527\tperformer, performing artist\n8728\tn10091450\t8727\tfire-eater, fire-swallower\n8729\tn10069296\t8727\texecutant\n8730\tn09989502\t8727\tdancer, professional dancer, terpsichorean\n8731\tn10226413\t8727\tjuggler\n8732\tn10493685\t8727\tpuppeteer\n8733\tn09765278\t8727\tactor, histrion, player, thespian, role player\n8734\tn09930876\t8727\tclown, buffoon, goof, goofball, merry andrew\n8735\tn10340312\t8727\tmusician, instrumentalist, player\n8736\tn09990777\t8730\tdancing-master, dance master\n8737\tn09834699\t8730\tballet dancer\n8738\tn10737103\t8733\tunderstudy, standby\n8739\tn10649197\t8733\tstarlet\n8740\tn10701962\t8735\ttenor saxophonist, tenorist\n8741\tn10415037\t8735\tpercussionist\n8742\tn10151760\t8735\tguitarist, guitar player\n8743\tn10229883\t8735\tkeyboardist\n8744\tn10732010\t8735\ttrumpeter, cornetist\n8745\tn10603851\t8735\tsitar player\n8746\tn10599806\t8735\tsinger, vocalist, vocalizer, vocaliser\n8747\tn10369317\t8735\toboist\n8748\tn09903501\t8735\tcellist, violoncellist\n8749\tn10755080\t8735\tviolist\n8750\tn10098245\t8735\tflutist, flautist, flute player\n8751\tn10382825\t8735\torganist\n8752\tn10536416\t8735\trock star\n8753\tn10036929\t8735\tdrummer\n8754\tn10624310\t8746\tsongster\n8755\tn09842528\t8746\tbass, basso\n8756\tn10085869\t8528\tfiance, groom-to-be\n8757\tn09991867\t8528\tdarling, favorite, favourite, pet, dearie, deary, ducky\n8758\tn10078131\t8528\tfancier, enthusiast\n8759\tn10627252\t8528\tsoul mate\n8760\tn10682953\t8528\tsweetheart, sweetie, steady, truelove\n8761\tn10237196\t8528\tkisser, osculator\n8762\tn09789566\t8529\tamputee\n8763\tn10182190\t8529\thomeless, homeless person\n8764\tn09899671\t8529\tcasualty, injured party\n8765\tn10150071\t8531\tguard\n8766\tn10091651\t8531\tfireman, firefighter, fire fighter, fire-eater\n8767\tn10806113\t8531\tzoo keeper\n8768\tn10249459\t8531\tlawman, law officer, peace officer\n8769\tn10317500\t8768\tmilitary policeman, MP\n8770\tn09822830\t8768\tattorney general\n8771\tn10448983\t8768\tpoliceman, police officer, officer\n8772\tn09862621\t8771\tbobby\n8773\tn10540114\t8771\tMountie\n8774\tn10009276\t8771\tdetective, investigator, tec, police detective\n8775\tn10333838\t8771\tmotorcycle cop, motorcycle policeman, speed cop\n8776\tn10730728\t8771\ttrooper, state trooper\n8777\tn10721321\t8771\ttraffic cop\n8778\tn09659188\t8533\tKiliwa, Kiliwi\n8779\tn09650729\t8533\tBiloxi\n8780\tn09652149\t8533\tChickasaw\n8781\tn09659039\t8533\tKickapoo\n8782\tn09729530\t8536\tArab, Arabian\n8783\tn09641002\t8536\twhite man\n8784\tn09725653\t8782\tOmani\n8785\tn09846469\t8782\tBedouin, Beduin\n8786\tn09750770\t8782\tYemeni\n8787\tn10486166\t8538\tprotegee\n8788\tn10169147\t8538\theiress, inheritress, inheritrix\n8789\tn09684901\t8539\tswami\n8790\tn09683757\t8539\tBuddhist\n8791\tn09682291\t8539\tMuslim, Moslem\n8792\tn10364198\t8539\tnovitiate, novice\n8793\tn10518602\t8539\treligious\n8794\tn10341573\t8791\tMuslimah\n8795\tn10672371\t8791\tSufi\n8796\tn10332861\t8793\tmother\n8797\tn10112129\t8793\tmonk, monastic\n8798\tn10602470\t8793\tSister\n8799\tn10727256\t8542\ttreasurer, financial officer\n8800\tn10508141\t8542\tratepayer\n8801\tn10652605\t8799\tstate treasurer\n8802\tn09881265\t8799\tbursar\n8803\tn09933098\t8545\tcobbler, shoemaker\n8804\tn09812338\t8545\tartist, creative person\n8805\tn09920283\t8545\tchoreographer\n8806\tn10078806\t8545\tfarmer, husbandman, granger, sodbuster\n8807\tn10339966\t8804\tmusician\n8808\tn10667477\t8804\tstylist\n8809\tn10566072\t8804\tsculptor, sculpturer, carver, statue maker\n8810\tn10469874\t8804\tpress photographer\n8811\tn10624540\t8807\tsongwriter, songster, ballad maker\n8812\tn09809925\t8807\tarranger, adapter, transcriber\n8813\tn09846755\t8806\tbeekeeper, apiarist, apiculturist\n8814\tn09873899\t8806\tbreeder, stock breeder\n8815\tn09779790\t8806\tagriculturist, agriculturalist, cultivator, grower, raiser\n8816\tn10034614\t8546\tdrinker\n8817\tn10449664\t8546\tpolicyholder\n8818\tn10034201\t8546\tdrinker, imbiber, toper, juicer\n8819\tn09951616\t8546\tconcert-goer, music lover\n8820\tn10037385\t8818\tdrunkard, drunk, rummy, sot, inebriate, wino\n8821\tn09846894\t8818\tbeer drinker, ale drinker\n8822\tn10282672\t8547\tmaid, maidservant, housemaid, amah\n8823\tn10053808\t8547\temployee\n8824\tn09815790\t8547\tassistant, helper, help, supporter\n8825\tn10137825\t8547\tgondolier, gondoliere\n8826\tn10605985\t8547\tskilled worker, trained worker, skilled workman\n8827\tn10604979\t8547\tskidder\n8828\tn09861946\t8547\tboatman, boater, waterman\n8829\tn10763383\t8823\twaiter, server\n8830\tn09841188\t8823\tbartender, barman, barkeep, barkeeper, mixologist\n8831\tn10644598\t8823\tstaff member, staffer\n8832\tn10548681\t8823\tsalesperson, sales representative, sales rep\n8833\tn10791221\t8823\tworkman, workingman, working man, working person\n8834\tn10583790\t8823\tsettler\n8835\tn09873473\t8823\tbreadwinner\n8836\tn10763620\t8823\twaitress\n8837\tn10548537\t8823\tsalesman\n8838\tn10120671\t8823\tgardener\n8839\tn10241300\t8833\tlaborer, manual laborer, labourer, jack\n8840\tn10318293\t8833\tmill-hand, factory worker\n8841\tn10176679\t8839\thired hand, hand, hired man\n8842\tn09932508\t8839\tcoal miner, collier, pitman\n8843\tn10186216\t8841\thorse wrangler, wrangler\n8844\tn10134178\t8841\tgoat herder, goatherd\n8845\tn10079399\t8841\tfarmhand, fieldhand, field hand, farm worker\n8846\tn09821831\t8824\tattendant, attender, tender\n8847\tn09934337\t8824\tcog\n8848\tn10324560\t8824\tmodel, poser\n8849\tn10063461\t8846\tescort\n8850\tn09886403\t8846\tcaddie, golf caddie\n8851\tn09760609\t8846\tcompanion\n8852\tn10260800\t8846\tlifeguard, lifesaver\n8853\tn10655594\t8846\tsteward, flight attendant\n8854\tn09938449\t8849\tcolor guard\n8855\tn10183931\t8849\thonor guard, guard of honor\n8856\tn09972458\t8848\tcover girl, pin-up, lovely\n8857\tn09813219\t8848\tartist's model, sitter\n8858\tn10049363\t8826\telectrician, lineman, linesman\n8859\tn10372373\t8826\tofficial, functionary\n8860\tn10076604\t8826\tfalconer, hawker\n8861\tn09835348\t8826\tballoonist\n8862\tn09974648\t8826\tcraftsman, artisan, journeyman, artificer\n8863\tn10433164\t8826\tpilot, airplane pilot\n8864\tn09859152\t8826\tblacksmith\n8865\tn10727171\t8826\ttrawler\n8866\tn10308732\t8826\tmender, repairer, fixer\n8867\tn09833536\t8826\tbaker, bread maker\n8868\tn10582746\t8826\tserviceman, military man, man, military personnel\n8869\tn10393909\t8826\tpainter\n8870\tn10013927\t8859\tdiplomat, diplomatist\n8871\tn10225219\t8859\tjudge, justice, jurist\n8872\tn10202624\t8859\tincumbent, officeholder\n8873\tn09800964\t8859\tappointee\n8874\tn10465831\t8859\tpresbyter\n8875\tn09787534\t8870\tambassador, embassador\n8876\tn10174445\t8870\thigh commissioner\n8877\tn10441962\t8870\tplenipotentiary\n8878\tn10132035\t8862\tglassblower\n8879\tn09896685\t8862\tcarpenter\n8880\tn09934774\t8862\tcoiffeur\n8881\tn10279018\t8862\tmachinist, mechanic, shop mechanic\n8882\tn10793570\t8862\twright\n8883\tn10155849\t8862\thairdresser, hairstylist, stylist, styler\n8884\tn10087434\t8863\tfighter pilot\n8885\tn09964202\t8863\tcopilot, co-pilot\n8886\tn09811852\t8868\tartilleryman, cannoneer, gunner, machine gunner\n8887\tn10348526\t8868\tNavy SEAL, SEAL\n8888\tn10317007\t8868\tmilitary officer, officer\n8889\tn10058777\t8868\tenlisted person\n8890\tn10360747\t8888\tnoncommissioned officer, noncom, enlisted officer\n8891\tn09941964\t8888\tcommanding officer, commandant, commander\n8892\tn10347446\t8888\tnaval commander\n8893\tn09770359\t8888\tadjutant general\n8894\tn09941787\t8888\tcommander in chief, generalissimo\n8895\tn09942970\t8888\tcommissioned officer\n8896\tn09809749\t8888\tarmy officer\n8897\tn09770179\t8888\tadjutant, aide, aide-de-camp\n8898\tn10208950\t8888\tinspector general\n8899\tn10580772\t8890\tsergeant\n8900\tn10093475\t8899\tfirst sergeant, sergeant first class\n8901\tn10645017\t8899\tstaff sergeant\n8902\tn09943239\t8895\tcommissioned military officer\n8903\tn09943541\t8895\tcommissioned naval officer\n8904\tn10263790\t8895\tline officer\n8905\tn10283170\t8902\tmajor\n8906\tn10259348\t8902\tlieutenant\n8907\tn10092978\t8902\tfirst lieutenant, 1st lieutenant\n8908\tn10296176\t8902\tmarshal, marshall\n8909\tn09893191\t8902\tcaptain\n8910\tn10123844\t8902\tgeneral, full general\n8911\tn10259780\t8902\tlieutenant colonel, light colonel\n8912\tn10259997\t8903\tlieutenant commander\n8913\tn10510245\t8903\trear admiral\n8914\tn10622053\t8889\tsoldier\n8915\tn10058585\t8889\tenlisted man\n8916\tn10690648\t8914\ttanker, tank driver\n8917\tn10523341\t8914\treservist\n8918\tn10739391\t8914\tUnknown Soldier\n8919\tn10476467\t8915\tprivate, buck private, common soldier\n8920\tn10512372\t8915\trecruit, military recruit\n8921\tn10802507\t8915\tyard bird, yardbird\n8922\tn10753442\t8550\tvillager\n8923\tn09733793\t8550\tTahitian\n8924\tn09738708\t8550\tAmerican\n8925\tn09641757\t8550\tAsian, Asiatic\n8926\tn09738400\t8550\tAmerican\n8927\tn09727826\t8550\tPolynesian\n8928\tn09686536\t8550\tEuropean\n8929\tn09724533\t8550\tNew Zealander, Kiwi\n8930\tn09744834\t8924\tNorth Carolinian, Tarheel\n8931\tn09743792\t8924\tMinnesotan, Gopher\n8932\tn09744161\t8924\tNebraskan, Cornhusker\n8933\tn09742101\t8924\tFloridian\n8934\tn09689435\t8925\tAfghan, Afghanistani\n8935\tn09734450\t8925\tTibetan\n8936\tn09644152\t8925\tMongol, Mongolian\n8937\tn09750282\t8925\tPapuan\n8938\tn09673495\t8925\tIndian\n8939\tn09718811\t8925\tJordanian\n8940\tn09718217\t8925\tJapanese, Nipponese\n8941\tn09712696\t8925\tMalay, Malayan\n8942\tn09718936\t8925\tKorean\n8943\tn10711766\t8925\tTimorese\n8944\tn09694771\t8925\tBornean\n8945\tn09719794\t8925\tLao, Laotian\n8946\tn09714694\t8925\tIraqi, Iraki\n8947\tn09675922\t8938\tGujarati, Gujerati\n8948\tn09676247\t8938\tPunjabi, Panjabi\n8949\tn10774440\t8926\tWest Indian\n8950\tn09720256\t8926\tLatin American, Latino\n8951\tn09725229\t8926\tNorth American\n8952\tn09731571\t8926\tSouth American\n8953\tn09691729\t8949\tBahamian\n8954\tn09693982\t8949\tBarbadian\n8955\tn09712448\t8949\tHaitian\n8956\tn09697401\t8951\tCentral American\n8957\tn09696585\t8951\tCanadian\n8958\tn09722658\t8956\tMexican\n8959\tn09724656\t8956\tNicaraguan\n8960\tn09723067\t8956\tMexican-American, Mexicano\n8961\tn09694664\t8952\tBolivian\n8962\tn09712324\t8952\tGuyanese\n8963\tn09689958\t8928\tAlbanian\n8964\tn09695979\t8928\tByelorussian, Belorussian, White Russian\n8965\tn10327987\t8928\tMonegasque, Monacan\n8966\tn09688804\t8928\tFrank\n8967\tn09730204\t8928\tScandinavian, Norse, Northman\n8968\tn09711435\t8928\tLaconian\n8969\tn09713108\t8928\tNetherlander, Dutchman, Hollander\n8970\tn09731343\t8928\tSlovene\n8971\tn09717233\t8928\tSabine\n8972\tn09695620\t8928\tBulgarian\n8973\tn09728285\t8928\tRomanian, Rumanian\n8974\tn09707289\t8928\tLithuanian\n8975\tn09701833\t8928\tEnglishwoman\n8976\tn09700964\t8928\tBritisher, Briton, Brit\n8977\tn09750891\t8928\tYugoslav, Jugoslav, Yugoslavian, Jugoslavian\n8978\tn09715427\t8928\tDubliner\n8979\tn09708750\t8928\tParisian\n8980\tn09705784\t8551\tEritrean\n8981\tn09734185\t8551\tTanzanian\n8982\tn09752023\t8551\tZulu\n8983\tn09635534\t8551\tBlack African\n8984\tn09696456\t8551\tCameroonian\n8985\tn09732170\t8551\tSudanese\n8986\tn09730824\t8551\tSenegalese\n8987\tn09719309\t8551\tKenyan\n8988\tn09734535\t8551\tTogolese\n8989\tn09736945\t8551\tUgandan\n8990\tn09720842\t8551\tLiberian\n8991\tn09692915\t8551\tHerero\n8992\tn09751895\t8551\tZimbabwean\n8993\tn09724785\t8551\tNigerian\n8994\tn09747495\t8551\tGambian\n8995\tn09734639\t8551\tTuareg\n8996\tn09749386\t8551\tGuinean\n8997\tn09705124\t8551\tEthiopian\n8998\tn09731436\t8551\tSouth African\n8999\tn10303814\t8554\tmayor, city manager\n9000\tn10450303\t8554\tpolitician, politico, pol, political leader\n9001\tn10722575\t8554\ttrainer\n9002\tn10054657\t8554\temployer\n9003\tn10631309\t8554\tSpeaker\n9004\tn10249270\t8554\tlawgiver, lawmaker\n9005\tn09913455\t8554\tcheerleader\n9006\tn10162991\t8554\thead, chief, top dog\n9007\tn09807754\t8554\taristocrat, blue blood, patrician\n9008\tn09505153\t8554\tspiritual leader\n9009\tn10209082\t8554\tinstigator, initiator\n9010\tn10323634\t8554\tmistress\n9011\tn10104064\t8554\tboss\n9012\tn10001481\t9000\tdemagogue, demagog, rabble-rouser\n9013\tn10242328\t9000\tLabourite\n9014\tn10159045\t9001\tanimal trainer, handler\n9015\tn09932098\t9001\tpitching coach\n9016\tn10253995\t9004\tlegislator\n9017\tn10005934\t9016\tdeputy\n9018\tn10578471\t9016\tsenator\n9019\tn09770949\t9006\tadministrator, decision maker\n9020\tn10004718\t9006\tdepartment head\n9021\tn10570019\t9006\tsecretary\n9022\tn10289462\t9019\tmanageress\n9023\tn10069645\t9019\texecutive, executive director\n9024\tn10187990\t9019\thotelier, hotelkeeper, hotel manager, hotelman, hosteller\n9025\tn09916348\t9023\tchief executive officer, CEO, chief operating officer\n9026\tn10727458\t9023\tTreasury, First Lord of the Treasury\n9027\tn10320863\t9023\tminister, government minister\n9028\tn10572706\t9021\tSecretary of State\n9029\tn10572889\t9021\tSecretary of the Interior, Interior Secretary\n9030\tn10038409\t9007\tduchess\n9031\tn10756148\t9007\tviscount\n9032\tn09927451\t9008\tclergyman, reverend, man of the cloth\n9033\tn10243664\t9008\tlama\n9034\tn10502329\t9008\trabbi\n9035\tn09988493\t9008\tDalai Lama, Grand Lama\n9036\tn10373390\t9032\tofficiant\n9037\tn10470779\t9032\tpriest\n9038\tn09928136\t9032\tcleric, churchman, divine, ecclesiastic\n9039\tn10750031\t9037\tvicar\n9040\tn10081204\t9037\tFather, Padre\n9041\tn09857200\t9037\tbishop\n9042\tn10013811\t9041\tdiocesan\n9043\tn09894143\t9041\tcardinal\n9044\tn10313239\t9041\tmetropolitan\n9045\tn10082997\t8558\tfederalist\n9046\tn10677713\t8558\tsupporter, protagonist, champion, admirer, booster, friend\n9047\tn09787765\t8558\tambassador\n9048\tn10485883\t8558\tprotectionist\n9049\tn10275395\t9046\tloyalist, stalwart\n9050\tn09913593\t9046\tcheerleader\n9051\tn09772930\t8560\tadulteress, fornicatress, hussy, jade, loose woman, slut, strumpet, trollop\n9052\tn09633969\t8560\twrongdoer, offender\n9053\tn10195593\t9052\thypocrite, dissembler, dissimulator, phony, phoney, pretender\n9054\tn09756049\t9052\tabettor, abetter\n9055\tn10607478\t9052\tskinhead\n9056\tn09855433\t8563\tbiographer\n9057\tn10017272\t8563\tdisk jockey, disc jockey, dj\n9058\tn10630188\t8563\tspeaker, talker, utterer, verbalizer, verbaliser\n9059\tn10522035\t8563\trepresentative\n9060\tn10521662\t8563\treporter, newsman, newsperson\n9061\tn10380672\t9058\torator, speechmaker, rhetorician, public speaker, speechifier\n9062\tn10210911\t9058\tinterlocutor, conversational partner\n9063\tn10382710\t9059\torgan-grinder\n9064\tn10164747\t9059\thead of state, chief of state\n9065\tn09782397\t9059\talderman\n9066\tn10524076\t9059\tresident commissioner\n9067\tn10467395\t9064\tPresident of the United States, United States President, President, Chief Executive\n9068\tn10467179\t9064\tpresident\n9069\tn10698368\t9060\ttelevision reporter, television newscaster, TV reporter, TV newsman\n9070\tn09792969\t9060\tanchor, anchorman, anchorperson\n9071\tn10525617\t8564\tretiree, retired person\n9072\tn10675010\t8564\tsunbather\n9073\tn09889941\t8564\tcamper\n9074\tn10557854\t8566\tscholar, scholarly person, bookman, student\n9075\tn09618760\t8566\texponent\n9076\tn09899929\t8566\tcasuist, sophist\n9077\tn10116702\t9074\tfuturist\n9078\tn10258786\t9074\tlicentiate\n9079\tn10508710\t9074\treader\n9080\tn09873348\t8570\tbrawler\n9081\tn09870208\t8570\tboxer, pugilist\n9082\tn10793168\t8570\twrestler, grappler, matman\n9083\tn10098517\t9081\tflyweight\n9084\tn10314517\t9081\tmiddleweight\n9085\tn10629939\t9081\tsparring partner, sparring mate\n9086\tn10477077\t9081\tprizefighter, gladiator\n9087\tn10261624\t9086\tlight heavyweight, cruiserweight\n9088\tn10082687\t9086\tfeatherweight\n9089\tn10262445\t9086\tlightweight\n9090\tn10167152\t9082\theavyweight\n9091\tn10098624\t9082\tflyweight\n9092\tn10674713\t9082\tsumo wrestler\n9093\tn09838621\t9082\tbantamweight\n9094\tn10047459\t8573\tegotist, egoist, swellhead\n9095\tn10091564\t8573\tfire-eater, hothead\n9096\tn10740868\t8573\tupstart, parvenu, nouveau-riche, arriviste\n9097\tn09872066\t9094\tbragger, braggart, boaster, blowhard, line-shooter, vaunter\n9098\tn10070711\t9094\texhibitionist, show-off\n9099\tn10628644\t8575\tsovereign, crowned head, monarch\n9100\tn10421016\t8575\tPharaoh, Pharaoh of Egypt\n9101\tn09915434\t8575\tCheops, Khufu\n9102\tn10588357\t8575\tsheik, tribal sheik, sheikh, tribal sheikh, Arab chief\n9103\tn10529965\t8579\trider\n9104\tn10334009\t8579\tmotorcyclist\n9105\tn10339717\t8579\tmusher\n9106\tn09818022\t8579\tastronaut, spaceman, cosmonaut\n9107\tn10412055\t8579\tpedestrian, walker, footer\n9108\tn10335931\t8579\tmover\n9109\tn09945745\t8579\tcommuter\n9110\tn10432441\t8579\tpilgrim\n9111\tn10607291\t8579\tskin-diver, aquanaut\n9112\tn10583387\t8579\tsettler, colonist\n9113\tn10718131\t8579\ttourist, tourer, holidaymaker\n9114\tn10542761\t8579\trunner\n9115\tn10147121\t8579\tgringo\n9116\tn10738111\t9103\tunicyclist\n9117\tn10159533\t9103\thang glider\n9118\tn10223177\t9103\tjockey\n9119\tn10185793\t9103\thorseman, equestrian, horseback rider\n9120\tn10553235\t9107\tsaunterer, stroller, ambler\n9121\tn10293332\t9107\tmarcher, parader\n9122\tn10178216\t9108\thitter, striker\n9123\tn10563403\t9108\tscrambler\n9124\tn10488656\t8580\tpsycholinguist\n9125\tn10619642\t8580\tsocial scientist\n9126\tn10276477\t8580\tlumper\n9127\tn10620758\t9125\tsociologist\n9128\tn10450161\t9125\tpolitical scientist\n9129\tn10043643\t9125\teconomist, economic expert\n9130\tn10043491\t9129\teconometrician, econometrist\n9131\tn10313724\t9129\tmicroeconomist, microeconomic expert\n9132\tn10084295\t8582\tfemale child, girl, little girl\n9133\tn10787470\t8582\twoman, adult female\n9134\tn10333601\t8582\tmother's daughter\n9135\tn10131151\t8582\tgirl wonder\n9136\tn09871681\t9132\tBoy Scout\n9137\tn09981939\t9132\tCub Scout\n9138\tn10055410\t9133\tenchantress, temptress, siren, Delilah, femme fatale\n9139\tn10243137\t9133\tlady\n9140\tn10377021\t9133\told woman\n9141\tn10368528\t9133\tnymph, houri\n9142\tn10025635\t9133\tdonna\n9143\tn09874862\t9133\tbridesmaid, maid of honor\n9144\tn10613996\t9133\tsmasher, stunner, knockout, beauty, ravisher, sweetheart, peach, lulu, looker, mantrap, dish\n9145\tn10472129\t9133\tprimigravida, gravida I\n9146\tn10598181\t9133\tsignorina\n9147\tn10129825\t9133\tgirl, miss, missy, young lady, young woman, fille\n9148\tn09847543\t9133\tbeldam, beldame\n9149\tn10173410\t9133\theroine\n9150\tn10780284\t9133\twidow, widow woman\n9151\tn09889065\t9133\tcall girl\n9152\tn09832456\t9133\tbaggage\n9153\tn10780632\t9133\twife, married woman\n9154\tn10117851\t9147\tgal\n9155\tn09827363\t9147\tbaby, babe, sister\n9156\tn10247358\t9147\tlass, lassie, young girl, jeune fille\n9157\tn10282482\t9147\tmaid, maiden\n9158\tn10092794\t9153\tfirst lady\n9159\tn10375314\t9153\told lady\n9160\tn09981278\t9153\tcrown princess\n9161\tn10082043\t8585\tfather-in-law\n9162\tn09972010\t8585\tcousin, first cousin, cousin-german, full cousin\n9163\tn10237069\t8585\tkinswoman\n9164\tn09792555\t8585\tancestor, ascendant, ascendent, antecedent, root\n9165\tn10236946\t8585\tkinsman\n9166\tn10568358\t8585\tsecond cousin\n9167\tn10207169\t8585\tin-law, relative-in-law\n9168\tn10236304\t8585\tkin, kinsperson, family\n9169\tn10734394\t8585\ttwin\n9170\tn10373998\t8585\toffspring, progeny, issue\n9171\tn10595164\t8585\tsibling, sib\n9172\tn10357613\t9163\tniece\n9173\tn09823502\t9163\taunt, auntie, aunty\n9174\tn10146104\t9163\tgreat-niece, grandniece\n9175\tn10602985\t9163\tsister, sis\n9176\tn10145239\t9163\tgreat-aunt, grandaunt\n9177\tn10267865\t9175\tlittle sister\n9178\tn09854218\t9175\tbig sister\n9179\tn10399491\t9164\tparent\n9180\tn10102800\t9164\tforefather, father, sire\n9181\tn10102369\t9164\tforebear, forbear\n9182\tn10406391\t9164\tpatriarch\n9183\tn10300500\t9179\tmater\n9184\tn10080869\t9179\tfather, male parent, begetter\n9185\tn10332385\t9179\tmother, female parent\n9186\tn09988063\t9184\tdad, dada, daddy, pa, papa, pappa, pop\n9187\tn10375402\t9184\told man\n9188\tn10145774\t9181\tgreat grandparent\n9189\tn10143172\t9181\tgrandparent\n9190\tn10145590\t9181\tgreat grandmother\n9191\tn10345015\t9189\tnan\n9192\tn10142747\t9189\tgrandma, grandmother, granny, grannie, gran, nan, nanna\n9193\tn10142391\t9189\tgrandfather, gramps, granddad, grandad, granddaddy, grandpa\n9194\tn10146002\t9165\tgreat-nephew, grandnephew\n9195\tn10267311\t9165\tlittle brother\n9196\tn10141590\t9170\tgrandchild\n9197\tn10092643\t9170\tfirstborn, eldest\n9198\tn09918248\t9170\tchild, kid\n9199\tn10671613\t9170\tsuccessor, heir\n9200\tn10141732\t9196\tgranddaughter\n9201\tn10145340\t9196\tgreat grandchild\n9202\tn10145902\t9201\tgreat grandson\n9203\tn10145480\t9201\tgreat granddaughter\n9204\tn09827683\t9198\tbaby, babe, infant\n9205\tn10135129\t9204\tgodson\n9206\tn10465451\t9204\tpremature baby, preterm baby, premature infant, preterm infant, preemie, premie\n9207\tn10353016\t9204\tneonate, newborn, newborn infant, newborn baby\n9208\tn13001930\t5178\tshiitake, shiitake mushroom, Chinese black mushroom, golden oak mushroom, Oriental black mushroom, Lentinus edodes\n9209\tn13040629\t5178\tcommon stinkhorn, Phallus impudicus\n9210\tn12969131\t5178\tearthball, false truffle, puffball, hard-skinned puffball\n9211\tn12985420\t5178\ttruffle, earthnut, earth-ball\n9212\tn13052670\t5178\then-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa\n9213\tn13037406\t5178\tgyromitra\n9214\tn13077295\t5178\tmildew\n9215\tn12987056\t5178\tlichen\n9216\tn12979829\t5178\twhite fungus, Saprolegnia ferax\n9217\tn12975804\t5178\ttrue slime mold, acellular slime mold, plasmodial slime mold, myxomycete\n9218\tn12974987\t5178\tslime mold, slime mould\n9219\tn12985773\t5178\tclub fungus\n9220\tn13044778\t5178\tearthstar\n9221\tn12985857\t5178\tcoral fungus\n9222\tn13035241\t5178\tfalse morel\n9223\tn13043926\t5178\tpuffball, true puffball\n9224\tn12982468\t5178\tpythium\n9225\tn13035707\t5178\thelvella\n9226\tn13044375\t5178\tgiant puffball, Calvatia gigantea\n9227\tn12969425\t5178\tScleroderma citrinum, Scleroderma aurantium\n9228\tn13060190\t5178\tjelly fungus\n9229\tn13054073\t5178\tagaric, Fomes igniarius\n9230\tn13040303\t5178\tstinkhorn, carrion fungus\n9231\tn13028611\t5178\tdiscomycete, cup fungus\n9232\tn12997654\t5178\tbasidiomycete, basidiomycetous fungi\n9233\tn12983048\t5178\tPhytophthora infestans\n9234\tn13062421\t5178\tJew's-ear, Jew's-ears, ear fungus, Auricularia auricula\n9235\tn13054560\t5178\tbolete\n9236\tn12963628\t9214\tpowdery mildew\n9237\tn12980840\t9214\tdowny mildew, false mildew\n9238\tn12991184\t9215\treindeer moss, reindeer lichen, arctic moss, Cladonia rangiferina\n9239\tn12989938\t9215\tbeard lichen, beard moss, Usnea barbata\n9240\tn12992177\t9215\tIceland moss, Iceland lichen, Cetraria islandica\n9241\tn12988158\t9215\tlecanora\n9242\tn13029326\t9231\tSarcoscypha coccinea, scarlet cup\n9243\tn13029760\t9231\tAleuria aurantia, orange peel fungus\n9244\tn13011595\t9232\tgill fungus\n9245\tn13049953\t9232\tpolypore, pore fungus, pore mushroom\n9246\tn12998815\t9232\tagaric\n9247\tn12997919\t9232\tmushroom\n9248\tn13052931\t9245\tPolyporus squamosus, scaly polypore\n9249\tn13050397\t9245\tbracket fungus, shelf fungus\n9250\tn13012253\t9246\tEntoloma lividum, Entoloma sinuatum\n9251\tn13001041\t9246\tmushroom\n9252\tn13005984\t9246\tinky cap, inky-cap mushroom, Coprinus atramentarius\n9253\tn13000891\t9246\tmushroom\n9254\tn13007417\t9246\toyster mushroom, oyster fungus, oyster agaric, Pleurotus ostreatus\n9255\tn13019835\t9246\tdeer mushroom, Pluteus cervinus\n9256\tn13013764\t9246\tparasol mushroom, Lepiota procera\n9257\tn13006894\t9246\tfairy-ring mushroom, Marasmius oreades\n9258\tn13002750\t9246\troyal agaric, Caesar's agaric, Amanita caesarea\n9259\tn13017102\t9246\tblewits, Clitocybe nuda\n9260\tn13232779\t9246\thoney mushroom, honey fungus, Armillariella mellea\n9261\tn13009429\t9246\tPholiota squarrosa, scaly pholiota\n9262\tn13013534\t9246\tlepiota\n9263\tn13003522\t9246\tblushing mushroom, blusher, Amanita rubescens\n9264\tn13001366\t9246\thorse mushroom, Agaricus arvensis\n9265\tn13009085\t9246\tnameko, viscid mushroom, Pholiota nameko\n9266\tn13022210\t9246\twinter mushroom, Flammulina velutipes\n9267\tn13002925\t9246\tfalse deathcap, Amanita mappa\n9268\tn13006171\t9246\tshaggymane, shaggy cap, shaggymane mushroom, Coprinus comatus\n9269\tn13003712\t9246\tdestroying angel, Amanita verna\n9270\tn13001206\t9246\ttoadstool\n9271\tn13004423\t9246\tchanterelle, chantarelle, Cantharellus cibarius\n9272\tn13001529\t9246\tmeadow mushroom, field mushroom, Agaricus campestris\n9273\tn13003254\t9246\tdeath cap, death cup, death angel, destroying angel, Amanita phalloides\n9274\tn13003061\t9246\tfly agaric, Amanita muscaria\n9275\tn13032115\t9247\tmorel\n9276\tn13032381\t9275\tcommon morel, Morchella esculenta, sponge mushroom, sponge morel\n9277\tn13033577\t9275\tblack morel, Morchella conica, conic morel, Morchella angusticeps, narrowhead morel\n9278\tn13055577\t9235\tBoletus edulis\n9279\tn13055949\t9235\tBoletus luridus\n9280\tn13055423\t9235\tBoletus chrysenteron\n9281\tn05430628\t5171\tsomatic cell, vegetative cell\n9282\tn05450617\t9281\thistiocyte\n9283\tn05449959\t9281\tleukocyte, leucocyte, white blood cell, white cell, white blood corpuscle, white corpuscle, WBC\n9284\tn05451384\t9283\tlymphocyte, lymph cell\n9285\tn05453657\t9283\tneutrophil, neutrophile\n9286\tn09369169\t1043\tnest\n9287\tn09454412\t1043\ttangle\n9288\tn09403211\t1043\tradiator\n9289\tn13086908\t1043\tplant part, plant structure\n9290\tn09416076\t1043\trock, stone\n9291\tn09251407\t1043\tcomet\n9292\tn05218119\t1043\tcadaver, corpse, stiff, clay, remains\n9293\tn09444100\t1043\tstar\n9294\tn09438940\t1043\tsnowdrift\n9295\tn09257949\t1043\tcovering, natural covering, cover\n9296\tn09189157\t9286\taerie, aery, eyrie, eyry\n9297\tn09475044\t9286\twasp's nest, wasps' nest, hornet's nest, hornets' nest\n9298\tn11691857\t9289\tlip\n9299\tn13102775\t9289\ttendril\n9300\tn13087625\t9289\tplant organ\n9301\tn13022709\t9289\tmycelium\n9302\tn11675842\t9300\treproductive structure\n9303\tn13152742\t9300\tleaf, leafage, foliage\n9304\tn13125117\t9300\troot\n9305\tn13129165\t9300\tstalk, stem\n9306\tn11690254\t9300\thypanthium, floral cup, calyx tube\n9307\tn11669335\t9302\tflower, bloom, blossom\n9308\tn13134947\t9302\tfruit\n9309\tn11676500\t9302\tpistil\n9310\tn11675025\t9307\trosebud\n9311\tn11674332\t9307\tinflorescence\n9312\tn11669786\t9307\tfloret, floweret\n9313\tn13131028\t9311\tumbel\n9314\tn13132338\t9311\tflower cluster\n9315\tn13132656\t9311\tpanicle\n9316\tn12301445\t9308\tolive\n9317\tn13133613\t9308\tear, spike, capitulum\n9318\tn13141415\t9308\tbuckthorn berry, yellow berry\n9319\tn13137409\t9308\tberry\n9320\tn12642090\t9308\twild cherry\n9321\tn12267677\t9308\tacorn\n9322\tn12658481\t9308\trowanberry\n9323\tn12144313\t9308\tmealie\n9324\tn12158031\t9308\tgourd\n9325\tn13135832\t9308\tseed\n9326\tn12620546\t9308\thip, rose hip, rosehip\n9327\tn11636835\t9308\tjuniper berry\n9328\tn13139055\t9308\tpod, seedpod\n9329\tn12144580\t9325\tcorn\n9330\tn07929351\t9325\tcoffee bean, coffee berry, coffee\n9331\tn13136556\t9325\tnut\n9332\tn12768682\t9325\tbuckeye, horse chestnut, conker\n9333\tn11689483\t9325\toilseed, oil-rich seed\n9334\tn13136316\t9325\tbean\n9335\tn07770571\t9325\tedible seed\n9336\tn07737081\t9331\tedible nut\n9337\tn07774842\t9336\tpine nut, pignolia, pinon nut\n9338\tn07774596\t9336\tmacadamia nut\n9339\tn07775050\t9336\tpistachio, pistachio nut\n9340\tn07772788\t9336\thazelnut, filbert, cobnut, cob\n9341\tn07771212\t9336\twalnut\n9342\tn07772147\t9336\tcashew, cashew nut\n9343\tn07772274\t9336\tchestnut\n9344\tn07774719\t9336\tpecan\n9345\tn07737745\t9336\tpeanut, earthnut, goober, goober pea, groundnut, monkey nut\n9346\tn07772935\t9336\tcoconut, cocoanut\n9347\tn15086247\t9333\tlinseed, flaxseed\n9348\tn11879895\t9333\trapeseed\n9349\tn12576323\t9334\tbroad bean, fava bean, horsebean\n9350\tn12532564\t9334\tsoy, soybean, soya bean\n9351\tn07814634\t9335\tcumin, cumin seed\n9352\tn07775197\t9335\tsunflower seed\n9353\tn07770763\t9335\tpumpkin seed\n9354\tn11748002\t9328\tlegume\n9355\tn12172364\t9328\tokra\n9356\tn12515925\t9354\tchickpea, garbanzo\n9357\tn12560282\t9354\tpea\n9358\tn12578916\t9354\tcowpea, black-eyed pea\n9359\tn12560621\t9354\tgarden pea\n9360\tn12544539\t9354\tlentil\n9361\tn12024690\t9303\tdandelion green\n9362\tn13154494\t9303\tfrond\n9363\tn11690455\t9303\tpetal, flower petal\n9364\tn12927013\t9304\tcassava, manioc\n9365\tn11953610\t9304\tchicory, chicory root\n9366\tn13128365\t9305\ttuber\n9367\tn13133932\t9305\tspadix\n9368\tn13163991\t9305\tbranchlet, twig, sprig\n9369\tn13134059\t9305\tbulb\n9370\tn13131618\t9305\tpetiole, leafstalk\n9371\tn13130726\t9305\tscape, flower stalk\n9372\tn11678010\t9305\tcornstalk, corn stalk\n9373\tn12136392\t9305\trattan, rattan cane\n9374\tn11979964\t9366\tJerusalem artichoke\n9375\tn12088223\t9366\tyam\n9376\tn12462805\t9369\tsquill\n9377\tn12433081\t9369\tonion\n9378\tn09218494\t9290\tbelay\n9379\tn09381242\t9290\toutcrop, outcropping, rock outcrop\n9380\tn09460046\t9290\ttor\n9381\tn09451237\t9293\tsupernova\n9382\tn09450163\t9293\tsun, Sun\n9383\tn01904182\t9295\tshell\n9384\tn13155095\t9295\tbracteole, bractlet\n9385\tn09432283\t9295\tshell\n9386\tn11705387\t9295\tcassia bark, Chinese cinnamon\n9387\tn09438844\t9295\tsnowcap\n9388\tn11692265\t9295\tperianth, chlamys, floral envelope, perigone, perigonium\n9389\tn05237755\t9295\tbody covering\n9390\tn09416890\t9295\troof\n9391\tn01956764\t9383\tseashell\n9392\tn01904806\t9383\tscallop shell\n9393\tn01904886\t9383\toyster shell\n9394\tn05586759\t9389\texoskeleton\n9395\tn05581932\t9389\tcuticle\n9396\tn01904029\t9389\tplastron\n9397\tn05238282\t9389\tskin, tegument, cutis\n9398\tn05254795\t9389\thair\n9399\tn02469248\t9389\tscapular\n9400\tn05256862\t9398\thairdo, hairstyle, hair style, coiffure, coif\n9401\tn05258051\t9398\tforelock\n9402\tn01899894\t9398\tencolure\n9403\tn05261404\t9398\tfacial hair\n9404\tn05259914\t9400\tpigtail\n9405\tn05261310\t9400\tthatch\n9406\tn05260240\t9400\tpompadour\n9407\tn05262185\t9403\tmustache, moustache\n9408\tn05261566\t9403\tbeard, face fungus, whiskers\n9409\tn05262534\t9407\tmustachio, moustachio, handle-bars\n9410\tn05262422\t9407\tsoup-strainer, toothbrush\n9411\tn05263183\t9408\tstubble\n9412\tn05263448\t9408\tsoul patch, Attilio\n9413\tn11524662\t3\tweather, weather condition, conditions, atmospheric condition\n9414\tn11448153\t3\tdust storm, duster, sandstorm, sirocco\n9415\tn09247410\t3\tcloud\n9416\tn11508382\t9413\tsnow, snowfall\n9417\tn11524451\t9413\twave\n9418\tn02067240\t7133\tsperm whale, cachalot, black whale, Physeter catodon\n9419\tn02068206\t7133\tbeaked whale\n9420\tn02067603\t7133\tpygmy sperm whale, Kogia breviceps\n9421\tn13232106\t9246\tArmillaria ponderosa, white matsutake\n9422\tn13008839\t9246\tPholiota flavida\n9423\tn13004826\t9246\tpig's ears, Cantharellus clavatus\n9424\tn13075020\t9246\tCortinarius corrugatus\n9425\tn13009656\t9246\tPholiota squarrosoides\n9426\tn13009244\t9246\tPholiota squarrosa-adiposa\n9427\tn13020481\t9246\tVolvariella bombycina\n9428\tn13018407\t9246\tTricholoma aurantium\n9429\tn13004640\t9246\tfloccose chanterelle, Cantharellus floccosus\n9430\tn13017240\t9246\tsandy mushroom, Tricholoma populinum\n9431\tn13074814\t9246\tCortinarius atkinsonianus\n9432\tn13008157\t9246\tPholiota astragalina\n9433\tn13020964\t9246\tClitocybe clavipes\n9434\tn13070308\t9246\twaxycap\n9435\tn07878479\t597\tkishke, stuffed derma\n9436\tn07875926\t597\tSalisbury steak\n9437\tn07878145\t597\tbeef Stroganoff\n9438\tn07617188\t597\tpudding\n9439\tn07874674\t597\tpork and beans\n9440\tn07870894\t597\tlobster thermidor\n9441\tn07654148\t597\tbarbecue, barbeque\n9442\tn07879450\t597\tsushi\n9443\tn07881404\t597\ttostada\n9444\tn07876189\t597\tsauerkraut\n9445\tn07864065\t597\tchicken cordon bleu\n9446\tn07877849\t597\tpepper steak\n9447\tn07861813\t597\tchicken and rice\n9448\tn07866409\t597\tdolmas, stuffed grape leaves\n9449\tn07871335\t597\tmacedoine\n9450\tn07879821\t597\ttamale pie\n9451\tn07869391\t597\thash\n9452\tn07868830\t597\tgalantine\n9453\tn07865700\t597\tcoquille\n9454\tn07862244\t597\tbacon and eggs\n9455\tn07869111\t597\thaggis\n9456\tn03785721\t4356\tmorion, cabasset\n9457\tn02978205\t4356\tcasque\n9458\tn02685365\t2609\tair bag\n9459\tn04469147\t2609\ttrammel\n9460\tn04181228\t2609\tshackle, bond, hamper, trammel\n9461\tn04158457\t2609\tsea anchor, drogue\n9462\tn03682877\t2609\tlock, ignition lock\n9463\tn03410740\t2609\tgag, muzzle\n9464\tn02890662\t2609\tbrake pad\n9465\tn02784998\t2609\tband\n9466\tn02889425\t2609\tbrake\n9467\tn02763714\t2204\tawl\n9468\tn02833403\t2204\tbevel, bevel square\n9469\tn03336839\t2204\tfile\n9470\tn03364599\t2204\tfloat, plasterer's float\n9471\tn03471685\t2204\tgutter\n9472\tn03488603\t2204\thand shovel\n9473\tn03455355\t2204\tgraver, graving tool, pointel, pointrel\n9474\tn03774327\t2204\tmiter box, mitre box\n9475\tn03950359\t2204\tpitchfork\n9476\tn03968886\t2204\tplumber's snake, auger\n9477\tn04291242\t2204\tsquare\n9478\tn04331443\t2204\tstraightedge\n9479\tn04570416\t2204\tweeder, weed-whacker\n9480\tn04441093\t2204\ttire iron, tire tool\n9481\tn04595611\t2204\twire stripper\n9482\tn08672562\t884\tsettlement\n9483\tn08683548\t884\twilderness, wild\n9484\tn08518940\t884\triver basin, basin, watershed, drainage basin, catchment area, catchment basin, drainage area\n9485\tn08644722\t884\tcountry, rural area\n9486\tn08675967\t884\turban area, populated area\n9487\tn04527475\t3167\tVenturi tube\n9488\tn04039848\t3167\tradar, microwave radar, radio detection and ranging, radiolocation\n9489\tn04030846\t3167\tquadrant\n9490\tn04168840\t3167\tseismograph\n9491\tn02046171\t7698\tlittle auk, dovekie, Plautus alle\n9492\tn02046442\t7698\tgreat auk, Pinguinus impennis\n9493\tn02413917\t7312\tCheviot\n9494\tn02414043\t7312\tbroadtail, caracul, karakul\n9495\tn02414442\t7312\tRambouillet\n9496\tn02413593\t7312\tHampshire, Hampshire down\n9497\tn02414209\t7312\tlongwool\n9498\tn02413824\t7312\tExmoor\n9499\tn11647306\t6229\tkauri pine, dammar pine\n9500\tn11648776\t6229\tplum-yew\n9501\tn11649878\t6229\tcelery pine\n9502\tn11655152\t6229\tyellow-leaf sickle pine, Falcatifolium taxoides\n9503\tn02830157\t2164\tbender\n9504\tn02668393\t2164\tabrader, abradant\n9505\tn03043173\t2164\tclincher\n9506\tn03384167\t2164\tfork\n9507\tn03454211\t2164\tgrapnel, grapple, grappler, grappling hook, grappling iron\n9508\tn03474467\t2164\thack\n9509\tn03524574\t2164\thoe\n9510\tn03594523\t2164\tJaws of Life\n9511\tn04023249\t2164\tpunch, puncher\n9512\tn04346511\t2164\tstylus, style\n9513\tn04391158\t2164\ttap\n9514\tn04337400\t2164\tstrickle\n9515\tn04184600\t2164\tshaping tool\n9516\tn12819354\t5191\thound's-tongue, Cynoglossum virginaticum\n9517\tn03939565\t3778\tpilot engine\n9518\tn04201992\t1193\tshooting gallery\n9519\tn04582625\t1316\twicket, wicket door, wicket gate\n9520\tn12881105\t5514\tshellflower, shell-flower, turtlehead, snakehead, snake-head, Chelone glabra\n9521\tn12036067\t9308\tachene\n9522\tn14956661\t1\tsludge, slime, goo, goop, gook, guck, gunk, muck, ooze\n9523\tn12033504\t5240\txeranthemum\n9524\tn01934844\t8208\tarchiannelid\n9525\tn04318982\t1906\tstill\n9526\tn04539407\t1057\tViyella\n9527\tn12104384\t5769\tlemongrass, lemon grass\n9528\tn04182514\t4680\tshaft\n9529\tn03369640\t1195\tfluke, flue\n9530\tn01318478\t5174\tmigrator\n9531\tn01458842\t5174\tembryo, conceptus, fertilized egg\n9532\tn04452848\t1195\ttooth\n9533\tn12350032\t5874\tdeer grass, meadow beauty\n9534\tn02777927\t1053\tbalcony\n9535\tn12598826\t5191\tplantain\n9536\tn03512452\t1906\theliograph\n9537\tn03320845\t4659\tfanion\n9538\tn12011370\t5241\tnodding groundsel, Senecio bigelovii\n9539\tn03211413\t2617\tdisplay adapter, display adaptor\n9540\tn12971400\t5178\tfalse truffle\n9541\tn12644283\t9308\tmarasca\n9542\tn04591359\t1053\twind tunnel\n9543\tn08665101\t924\tpool, puddle\n9544\tn03481521\t2762\thammer, power hammer\n9545\tn09468237\t2\tvagabond\n9546\tn03200152\t3778\tdinky, dinkey\n9547\tn12800049\t5241\tprairie star, Lithophragma parviflorum\n9548\tn12852570\t5191\tgipsywort, gypsywort, Lycopus europaeus\n9549\tn04440210\t1061\ttinsel\n9550\tn12878169\t5241\tkitten-tails\n9551\tn03191286\t1836\tdice cup, dice box\n9552\tn12888457\t5241\tWhipple's penstemon, Penstemon whippleanus\n9553\tn12028818\t5191\tturfing daisy, Tripleurospermum oreades tchihatchewii, Matricaria oreades\n9554\tn03308614\t3666\teyecup, eyebath, eye cup\n9555\tn12913524\t5191\tScopolia carniolica\n9556\tn09781398\t8579\tair traveler, air traveller\n9557\tn12418507\t5240\twandflower, Sparaxis tricolor\n9558\tn12614477\t5190\twaterweed\n9559\tn12839574\t5191\tbasil thyme, basil balm, mother of thyme, Acinos arvensis, Satureja acinos\n9560\tn12519563\t5191\tcrotalaria, rattlebox\n9561\tn12027658\t5241\tmeadow salsify, goatsbeard, shepherd's clock, Tragopogon pratensis\n9562\tn04097085\t1394\troadhouse\n9563\tn13048932\t5178\tGastroboletus scabrosus\n9564\tn11781658\t5185\tChinese evergreen, Japanese leaf, Aglaonema modestum\n9565\tn13103750\t5193\tarborescent plant\n9566\tn10035430\t8547\tdriver\n9567\tn14899328\t17\tculture medium, medium\n9568\tn12939104\t5191\tfennel\n9569\tn08614104\t924\toverlook\n9570\tn12348294\t5190\twater chestnut, water chestnut plant, caltrop\n9571\tn01324019\t5170\tanimalcule, animalculum\n9572\tn03949145\t3388\tpiston ring\n9573\tn08653570\t884\tsphere, sphere of influence\n9574\tn03279804\t3498\telectron multiplier\n9575\tn13124529\t5170\tkatharobe\n9576\tn03059934\t1057\tcobweb\n9577\tn07755262\t33\tcanistel, eggfruit\n9578\tn04030274\t4040\tpyx, pix, pyx chest, pix chest\n9579\tn04409712\t894\ttennis court\n9580\tn02571810\t6545\tcatalufa, Priacanthus arenatus\n9581\tn14582220\t1\tdark matter\n9582\tn03531691\t1056\thood\n9583\tn07732904\t207\twatercress\n9584\tn12193334\t9308\tquandong, blue fig\n9585\tn03146449\t4680\tcul, cul de sac, dead end\n9586\tn03979377\t1057\tpolyester\n9587\tn04137089\t1715\tsash window\n9588\tn13120003\t5850\tflowering shrub\n9589\tn11794519\t5190\tduckweed\n9590\tn12803226\t5241\tfalse alumroot, fringe cups, Tellima grandiflora\n9591\tn12801966\t5241\tfringed grass of Parnassus, Parnassia fimbriata\n9592\tn11896141\t5240\tschizopetalon, Schizopetalon walkeri\n9593\tn12246232\t5850\tblueberry, blueberry bush\n9594\tn12175949\t5850\tcotton, cotton plant\n9595\tn02622955\t6545\tcutlassfish, frost fish, hairtail\n9596\tn04209509\t1521\tshower room\n9597\tn07770180\t33\tsorb, sorb apple\n9598\tn11958499\t5240\tbrass buttons, Cotula coronopifolia\n9599\tn11858703\t5191\trock purslane\n9600\tn02559144\t6545\tbrotula\n9601\tn12818966\t5191\tChinese forget-me-not, Cynoglossum amabile\n9602\tn03721797\t1041\tmarker\n9603\tn03962525\t1053\tplatform, weapons platform\n9604\tn12934479\t5191\tcaraway, Carum carvi\n9605\tn13034788\t5178\tWynnea sparassoides\n9606\tn03026626\t1061\tChristmas tree\n9607\tn04373428\t3778\tswitch engine, donkey engine\n9608\tn04388162\t1302\ttampon\n9609\tn03548533\t4132\thulk\n9610\tn04050410\t2164\tram\n9611\tn04388040\t1302\ttampion, tompion\n9612\tn07579917\t597\tadobo\n9613\tn07753448\t33\tanchovy pear, river pear\n9614\tn03585778\t3778\tiron horse\n9615\tn12002826\t5191\tsweet coltsfoot, Petasites sagitattus\n9616\tn02620578\t6545\tarcherfish, Toxotes jaculatrix\n9617\tn07824383\t325\thorseradish\n9618\tn01515583\t6527\tprotoavis\n9619\tn12842887\t5191\tcalamint\n9620\tn03626272\t1061\tknob, pommel\n9621\tn12885754\t5241\tPlatte River penstemon, Penstemon cyananthus\n9622\tn04288165\t1061\tsprig\n9623\tn11970101\t5240\tcotton rose, cudweed, filago\n9624\tn02583096\t6545\tblanquillo, tilefish\n9625\tn04299828\t1057\tstammel\n9626\tn03532187\t1061\thood ornament\n9627\tn12292877\t5191\tcolumbo, American columbo, deer's-ear, deer's-ears, pyramid plant, American gentian\n9628\tn12156819\t9325\tgrain, caryopsis\n9629\tn02796995\t1521\tbarroom, bar, saloon, ginmill, taproom\n9630\tn12693865\t5190\twater starwort\n9631\tn04146862\t4132\tschool ship, training ship\n9632\tn04134170\t2204\tsandblaster\n9633\tn02384858\t5174\tracer\n9634\tn11702252\t5190\thornwort\n9635\tn12860978\t5191\tbeefsteak plant, Perilla frutescens crispa\n9636\tn04329958\t1715\tstorm window, storm sash\n9637\tn04586225\t1061\twind chime, wind bell\n9638\tn04016846\t2653\tpsaltery\n9639\tn04609811\t3498\tX-ray tube\n9640\tn12877244\t5240\tsnapdragon\n9641\tn12831932\t5185\tepiscia\n9642\tn02961035\t1394\tcaravansary, caravanserai, khan, caravan inn\n9643\tn08648917\t924\tshowplace\n9644\tn01472303\t6519\tAmniota\n9645\tn11990920\t5241\tnorth island edelweiss, Leucogenes leontopodium\n9646\tn02918330\t1300\tbulwark\n9647\tn03356559\t3168\tflamethrower\n9648\tn02844714\t1996\tbit\n9649\tn03238879\t4874\tdress shirt, evening shirt\n9650\tn10307114\t8547\tmelter\n9651\tn11908077\t5191\tbloodroot, puccoon, redroot, tetterwort, Sanguinaria canadensis\n9652\tn12813753\t5193\tbignoniad\n9653\tn03805503\t1061\tnailhead\n9654\tn04507326\t1248\tumbrella tent\n9655\tn03989898\t1394\tposthouse, post house\n9656\tn11721337\t5240\tlesser celandine, pilewort, Ranunculus ficaria\n9657\tn07768590\t33\tplumcot\n9658\tn07769102\t33\tBarbados gooseberry, blade apple\n9659\tn11685091\t9325\tpip\n9660\tn04114719\t2762\trouter\n9661\tn11862300\t5241\tpussy-paw, pussy-paws, pussy's-paw, Spraguea umbellatum, Calyptridium umbellatum\n9662\tn02931294\t1248\tcabana\n9663\tn03561169\t3008\tignition switch\n9664\tn03591798\t1057\tjacquard\n9665\tn07863935\t597\tchicken Marengo\n9666\tn07867883\t597\tfondue, fondu\n9667\tn09281777\t2\tfloater\n9668\tn03984125\t1248\tpop tent\n9669\tn02881397\t1836\tbowl, pipe bowl\n9670\tn07769886\t33\tpulasan, pulassan\n9671\tn01958531\t8218\tgeoduck\n9672\tn01937909\t8208\tleech, bloodsucker, hirudinean\n9673\tn12951146\t5240\tred valerian, French honeysuckle, Centranthus ruber\n9674\tn11859275\t5240\tCarolina spring beauty, Claytonia caroliniana\n9675\tn12746106\t5850\tbox, boxwood\n9676\tn12617559\t5514\tarrow grass, Triglochin maritima\n9677\tn03628215\t2653\tkoto\n9678\tn01517389\t6527\tarchaeornis\n9679\tn12857204\t5191\tyerba buena, Micromeria chamissonis, Micromeria douglasii, Satureja douglasii\n9680\tn02636854\t6545\tmojarra\n9681\tn12831141\t5240\tlace-flower vine, Alsobia dianthiflora, Episcia dianthiflora\n9682\tn11802800\t5191\theartleaf, heart-leaf, Asarum shuttleworthii\n9683\tn03684143\t1316\tlock-gate\n9684\tn02881546\t2015\tbowl\n9685\tn02919648\t1302\tbung, spile\n9686\tn03717131\t1836\tmanger, trough\n9687\tn09940026\t8547\tcomber\n9688\tn12737251\t9308\tbuffalo nut, elk nut, oil nut\n9689\tn04444345\t862\ttoe\n9690\tn04140853\t2164\tsaw set\n9691\tn12981954\t5178\twhite rust\n9692\tn13137672\t9308\taggregate fruit, multiple fruit, syncarp\n9693\tn12854193\t5191\tcommon horehound, white horehound, Marrubium vulgare\n9694\tn03649003\t4870\tlavalava\n9695\tn12912670\t5191\tsalpiglossis\n9696\tn03343234\t1302\tfipple\n9697\tn12995601\t5178\ttrue fungus\n9698\tn07572353\t17\tcommissariat, provisions, provender, viands, victuals\n9699\tn04273064\t3173\tspectroscope, prism spectroscope\n9700\tn13121104\t5181\tdesert plant, xerophyte, xerophytic plant, xerophile, xerophilous plant\n9701\tn11943992\t5240\tChina aster, Callistephus chinensis\n9702\tn12013511\t5240\twhite-topped aster\n9703\tn03680734\t1195\tlobe\n9704\tn12028424\t5191\tscentless camomile, scentless false camomile, scentless mayweed, scentless hayweed, corn mayweed, Tripleurospermum inodorum, Matricaria inodorum\n9705\tn03907654\t1774\tpenal institution, penal facility\n9706\tn03408340\t1057\tfustian\n9707\tn12035631\t5240\tblazing star, Mentzelia livicaulis, Mentzelia laevicaulis\n9708\tn04277980\t862\tspine, backbone\n9709\tn07771082\t9336\tbeechnut\n9710\tn13023134\t5178\tsac fungus\n9711\tn12983654\t5178\tclubroot fungus, Plasmodiophora brassicae\n9712\tn11985739\t5191\tkrigia\n9713\tn04312154\t3261\tsteelyard, lever scale, beam scale\n9714\tn03596639\t862\tjetsam\n9715\tn04270891\t3168\tspear, lance, shaft\n9716\tn03227010\t1715\tdouble glazing\n9717\tn12881631\t5241\tpurple chinese houses, innocense, Collinsia bicolor, Collinsia heterophylla\n9718\tn04294426\t2581\tstabilizer\n9719\tn02816494\t3261\tbeam balance\n9720\tn11961871\t5191\tleopard's-bane, leopardbane\n9721\tn03206602\t1897\tdiscus, saucer\n9722\tn12355023\t5193\ttraveler's tree, traveller's tree, ravenala, Ravenala madagascariensis\n9723\tn02976455\t1715\tcasement window\n9724\tn04160261\t4783\tsealskin\n9725\tn02806530\t3666\tbath\n9726\tn04184880\t1057\tsharkskin\n9727\tn03491178\t1061\thanging, wall hanging\n9728\tn00020090\t1\tsubstance\n9729\tn02977822\t1056\tcasing\n9730\tn03535647\t1057\thopsacking, hopsack\n9731\tn11888424\t5240\theliophila\n9732\tn03692842\t1715\tlouvered window, jalousie\n9733\tn03936466\t2572\tpile driver\n9734\tn02558860\t6545\tcusk-eel\n9735\tn11993675\t5241\tMojave aster, Machaeranthera tortifoloia\n9736\tn12943049\t5191\tanise, anise plant, Pimpinella anisum\n9737\tn04169437\t3008\tselector, selector switch\n9738\tn03202940\t3498\tdiode, rectifying tube, rectifying valve\n9739\tn12578255\t5625\tmung, mung bean, green gram, golden gram, Vigna radiata, Phaseolus aureus\n9740\tn03050453\t2170\tclothesbrush\n9741\tn07935504\t10348\twater\n9742\tn12797368\t5191\tumbrella plant, Indian rhubarb, Darmera peltata, Peltiphyllum peltatum\n9743\tn02604157\t6545\tsea chub\n9744\tn12500309\t5191\twild senna, Senna marilandica, Cassia marilandica\n9745\tn11887750\t5240\twestern wall flower, Erysimum asperum, Cheiranthus asperus, Erysimum arkansanum\n9746\tn04128710\t1057\tsailcloth\n9747\tn12821048\t5191\thoary puccoon, Indian paint, Lithospermum canescens\n9748\tn01967094\t8218\tshipworm, teredinid\n9749\tn12122018\t5769\tsilver grass\n9750\tn02683183\t1057\tAertex\n9751\tn11750989\t5193\tmelilotus, melilot, sweet clover\n9752\tn04288533\t3261\tspring balance, spring scale\n9753\tn02573249\t6545\ttilefish, Lopholatilus chamaeleonticeps\n9754\tn11988893\t5241\thawkbit\n9755\tn12866968\t5191\tsavory\n9756\tn11927740\t5191\tlamb succory, dwarf nipplewort, Arnoseris minima\n9757\tn07769005\t33\tgarambulla\n9758\tn12006306\t5191\tsheep plant, vegetable sheep, Raoulia lutescens, Raoulia australis\n9759\tn10487182\t8547\tpruner, trimmer\n9760\tn12573256\t5191\tbush pea\n9761\tn12155583\t5514\tcattail\n9762\tn07857356\t325\twasabi\n9763\tn12979316\t5178\tpotato wart fungus, Synchytrium endobioticum\n9764\tn12881913\t5241\tmaiden blue-eyed Mary, Collinsia parviflora\n9765\tn11728530\t5193\tbugbane\n9766\tn09308398\t2\tice\n9767\tn02999272\t1056\tchafing gear\n9768\tn12650805\t9308\tchokecherry\n9769\tn12133151\t5769\tmunj, munja, Saccharum bengalense, Saccharum munja\n9770\tn04216963\t3173\tsights\n9771\tn03556992\t4132\ticebreaker, iceboat\n9772\tn04567870\t1063\tweather strip, weatherstrip, weather stripping, weatherstripping\n9773\tn12457771\t5191\tplantain lily, day lily\n9774\tn13122985\t5173\tair plant, epiphyte, aerophyte, epiphytic plant\n9775\tn12121033\t5769\tplume grass\n9776\tn03126090\t1063\tcramp, cramp iron\n9777\tn02995998\t1906\tcentrifuge, extractor, separator\n9778\tn03948347\t894\tpiste\n9779\tn12941536\t5191\tparsnip, Pastinaca sativa\n9780\tn12803958\t5241\tfalse miterwort, false mitrewort, Tiarella unifoliata\n9781\tn03002210\t2518\tchair of state\n9782\tn04292221\t2015\tsquash ball\n9783\tn12609968\t5190\tpickerelweed, pickerel weed, wampee, Pontederia cordata\n9784\tn12943443\t5191\tsanicle, snakeroot\n9785\tn03879456\t2204\tpallet\n9786\tn07772026\t9336\tsouari nut\n9787\tn02781764\t3174\tballistocardiograph, cardiograph\n9788\tn03798165\t3666\tmuller\n9789\tn04574471\t4132\twhaler, whaling ship\n9790\tn04486445\t2\ttriviality, trivia, trifle, small beer\n9791\tn07847706\t302\thalf-and-half\n9792\tn07770034\t33\trose apple\n9793\tn04421417\t3174\tthermograph\n9794\tn03997875\t1248\tpraetorium, pretorium\n9795\tn12820669\t5191\tgromwell, Lithospermum officinale\n9796\tn03327841\t1300\tfender, wing\n9797\tn12888906\t5191\tmullein, flannel leaf, velvet plant\n9798\tn03114743\t1248\tcottage tent\n9799\tn12259788\t5241\tsnow plant, Sarcodes sanguinea\n9800\tn11883628\t5240\tprairie rocket\n9801\tn07772413\t9336\tchincapin, chinkapin, chinquapin\n9802\tn04245412\t4132\tsmall ship\n9803\tn11886537\t5191\trocket, roquette, garden rocket, rocket salad, arugula, Eruca sativa, Eruca vesicaria sativa\n9804\tn08648781\t924\tservice area\n9805\tn12121835\t5769\tsheep fescue, sheep's fescue, Festuca ovina\n9806\tn11884384\t5191\tsea kale, sea cole, Crambe maritima\n9807\tn14582716\t17\tmicronutrient\n9808\tn01936391\t8208\tpolychaete, polychete, polychaete worm, polychete worm\n9809\tn04480141\t1053\ttrestlework\n9810\tn02590495\t6545\tsparid, sparid fish\n9811\tn12928819\t9325\tjumping bean, jumping seed, Mexican jumping bean\n9812\tn12796849\t5190\tgolden saxifrage, golden spleen\n9813\tn02682569\t1906\taerator\n9814\tn01479820\t6519\tgnathostome\n9815\tn03652826\t1248\tlean-to tent\n9816\tn03146777\t4870\tculotte\n9817\tn14582025\t1\tylem\n9818\tn07762534\t33\tketembilla, kitembilla, kitambilla\n9819\tn04088441\t2297\tricer\n9820\tn04183076\t1057\tshag\n9821\tn02847009\t4659\tblack flag, pirate flag, Jolly Roger, blackjack\n9822\tn03415363\t2164\tgang\n9823\tn12534862\t5874\tFrench honeysuckle, sulla, Hedysarum coronarium\n9824\tn12966804\t5178\tblack root rot fungus, Xylaria mali\n9825\tn01516609\t6527\tSinornis\n9826\tn02566109\t6545\tserranid fish, serranid\n9827\tn11997409\t5191\tlion's foot, gall of the earth, Nabalus serpentarius, Prenanthes serpentaria\n9828\tn03538817\t1057\thorsehair\n9829\tn11552976\t5173\tbiennial\n9830\tn03785499\t1193\tmorgue, mortuary, dead room\n9831\tn07765517\t33\tmombin\n9832\tn07771891\t9336\tbutternut\n9833\tn12025220\t5241\tstemless hymenoxys, Tetraneuris acaulis, Hymenoxys acaulis\n9834\tn12108432\t5769\tbroom grass\n9835\tn12854600\t5191\tlemon balm, garden balm, sweet balm, bee balm, beebalm, Melissa officinalis\n9836\tn12030092\t5240\tursinia\n9837\tn03574416\t1906\tinstillator\n9838\tn08523340\t873\ttrichion, crinion\n9839\tn04600912\t4767\twork-clothing, work-clothes\n9840\tn04308583\t1521\tsteam bath, steam room, vapor bath, vapour bath\n9841\tn11953339\t5191\tendive, witloof, Cichorium endivia\n9842\tn07745803\t33\tlanseh, lansa, lansat, lanset\n9843\tn02868975\t3666\tbone-ash cup, cupel, refractory pot\n9844\tn03434285\t2617\tgenerator\n9845\tn04497005\t1192\ttumbler\n9846\tn04292733\t1041\tsqueaker\n9847\tn02857365\t1053\tboarding\n9848\tn10761190\t8579\tvoyager\n9849\tn11922374\t5191\tcat's foot, cat's feet, pussytoes, Antennaria dioica\n9850\tn10374415\t8547\toiler\n9851\tn12292463\t5185\tPersian violet, Exacum affine\n9852\tn03589672\t2015\tjack\n9853\tn12579038\t5625\tasparagus bean, yard-long bean, Vigna unguiculata sesquipedalis, Vigna sesquipedalis\n9854\tn12798284\t5191\talumroot, alumbloom\n9855\tn11823043\t5191\tamaranth\n9856\tn12936469\t5191\tcoriander, coriander plant, Chinese parsley, cilantro, Coriandrum sativum\n9857\tn04523993\t1053\tvaulting\n9858\tn03190458\t2204\tdibble, dibber\n9859\tn02571652\t6545\tbigeye\n9860\tn04255670\t1906\tsoda fountain\n9861\tn07746910\t33\tcarissa plum, natal plum\n9862\tn02572196\t6545\tcardinalfish\n9863\tn07582441\t325\trelish\n9864\tn12306419\t9325\tash-key\n9865\tn12968136\t5178\tsclerotinia\n9866\tn02612167\t6545\tsand stargazer\n9867\tn07869291\t597\tham and eggs\n9868\tn03710528\t1836\tmailer\n9869\tn03450974\t1836\tgrab bag\n9870\tn12859679\t5191\tmustang mint, Monardella lanceolata\n9871\tn07769306\t33\tquandong, quandang, quantong, native peach\n9872\tn03872016\t1193\tpackinghouse\n9873\tn04213530\t1521\tsickroom\n9874\tn03528100\t1774\thome, nursing home, rest home\n9875\tn10683126\t8579\tswimmer, natator, bather\n9876\tn03566860\t1061\tincrustation, encrustation\n9877\tn04131499\t1836\tsaltcellar\n9878\tn12578626\t5625\tcowpea, cowpea plant, black-eyed pea, Vigna unguiculata, Vigna sinensis\n9879\tn05278922\t873\tpunctum\n9880\tn12564613\t5191\tbreadroot, Indian breadroot, pomme blanche, pomme de prairie, Psoralea esculenta\n9881\tn12611640\t5190\tnaiad, water nymph\n9882\tn02611561\t6545\tjawfish\n9883\tn13226871\t5178\tearthtongue, earth-tongue\n9884\tn13027879\t5178\tbrown root rot fungus, Thielavia basicola\n9885\tn04381450\t2518\ttablet-armed chair\n9886\tn03917048\t3173\tperiscope\n9887\tn02772554\t1897\tbadminton equipment\n9888\tn03677682\t1057\tlisle\n9889\tn11826569\t5874\tbloodleaf\n9890\tn12393086\t5191\tfalse nettle, bog hemp\n9891\tn12162758\t9308\tprairie gourd\n9892\tn11857320\t5191\tpurslane\n9893\tn01386354\t5170\tmyrmecophile\n9894\tn12843970\t5191\twild basil, cushion calamint, Clinopodium vulgare, Satureja vulgaris\n9895\tn07737594\t9336\tbunya bunya\n9896\tn13139482\t9308\tpyxidium, pyxis\n9897\tn04298308\t1062\tstairway, staircase\n9898\tn09358550\t2\tmoon\n9899\tn11994336\t5241\tcommon madia, common tarweed, Madia elegans\n9900\tn03640589\t1062\tlane\n9901\tn07746749\t33\tceriman, monstera\n9902\tn14582535\t1\tantimatter\n9903\tn12577686\t5625\tadzuki bean, adsuki bean, Vigna angularis, Phaseolus angularis\n9904\tn04390577\t4874\ttank top\n9905\tn11967744\t5241\twoolly sunflower\n9906\tn03275566\t1906\telectrograph\n9907\tn04088058\t1063\tribbon, typewriter ribbon\n9908\tn13046669\t5178\tbird's-nest fungus\n9909\tn08642870\t924\trendezvous\n9910\tn10768903\t8547\twasher\n9911\tn12942395\t5191\tparsley, Petroselinum crispum\n9912\tn10504545\t8579\traftsman, raftman, rafter\n9913\tn03490324\t4767\thandwear, hand wear\n9914\tn03988926\t1053\tpost and lintel\n9915\tn12293180\t5191\tgreen gentian, Frasera speciosa, Swertia speciosa\n9916\tn02632989\t6545\tbutterfish, stromateid fish, stromateid\n9917\tn04369973\t1540\tsweatbox\n9918\tn03378765\t2015\tfootball\n9919\tn03335333\t2518\tfighting chair\n9920\tn03250588\t2762\tdrum sander, electric sander, sander, smoother\n9921\tn09302031\t2\thead\n9922\tn07849912\t302\tcurd\n9923\tn12609379\t5190\tpipewort, Eriocaulon aquaticum\n9924\tn11790390\t5190\tgolden club, Orontium aquaticum\n9925\tn12893463\t5193\tnightshade\n9926\tn14891255\t3168\tGreek fire\n9927\tn07766723\t33\tmarang\n9928\tn04560619\t3666\twater jacket\n9929\tn11818636\t5240\tcowherb, cow cockle, Vaccaria hispanica, Vaccaria pyramidata, Saponaria vaccaria\n9930\tn12019375\t5241\tstemless golden weed, Stenotus acaulis, Haplopappus acaulis\n9931\tn11856573\t5185\tbloodberry, blood berry, rougeberry, rouge plant, Rivina humilis\n9932\tn01321456\t5174\tadult\n9933\tn11959259\t5241\thawk's-beard, hawk's-beards\n9934\tn07823591\t325\tmint sauce\n9935\tn11838413\t5241\ttrailing four o'clock, trailing windmills, Allionia incarnata\n9936\tn12012510\t5241\tarrowleaf groundsel, Senecio triangularis\n9937\tn12851469\t5191\tmotherwort, Leonurus cardiaca\n9938\tn03422589\t3498\tgas-discharge tube\n9939\tn13140367\t9308\taccessory fruit, pseudocarp\n9940\tn11858814\t5241\tred maids, redmaids, Calandrinia ciliata\n9941\tn12933616\t5191\tceleriac, celery root, knob celery, root celery, turnip-rooted celery, Apium graveolens rapaceum\n9942\tn04158002\t1836\tscuttle, coal scuttle\n9943\tn03610270\t2\tkeepsake, souvenir, token, relic\n9944\tn02701566\t4659\tAmerican flag, Stars and Stripes, Star-Spangled Banner, Old Glory\n9945\tn04206070\t1897\tshot\n9946\tn12104734\t5769\tgoat grass, Aegilops triuncalis\n9947\tn04291511\t1041\tsquare\n9948\tn04292313\t894\tsquash court\n9949\tn04267165\t1057\tspandex\n9950\tn11790788\t5190\tarrow arum\n9951\tn03169063\t2572\tdecoder\n9952\tn03338648\t2\tfilm\n9953\tn04345288\t2\tstuff\n9954\tn12986227\t5178\ttooth fungus\n9955\tn12013035\t5191\tblack salsify, viper's grass, scorzonera, Scorzonera hispanica\n9956\tn12613408\t5190\tfrogbit, frog's-bit, Hydrocharis morsus-ranae\n9957\tn12314808\t5850\twitch hazel, witch hazel plant, wych hazel, wych hazel plant\n9958\tn12547872\t5625\thorse gram, horse grain, poor man's pulse, Macrotyloma uniflorum, Dolichos biflorus\n9959\tn10648033\t5170\tstander\n9960\tn04000867\t862\tpressing\n9961\tn04239639\t3168\tsling\n9962\tn04312311\t3666\tsteeper\n9963\tn12887713\t5241\trock penstemon, cliff penstemon, Penstemon rupicola\n9964\tn07774295\t9336\thickory nut\n9965\tn11925450\t5240\tblue-eyed African daisy, Arctotis stoechadifolia, Arctotis venusta\n9966\tn11833749\t5191\thalogeton, Halogeton glomeratus\n9967\tn03703075\t1057\tmackinaw\n9968\tn04501127\t1316\tturnpike\n9969\tn09284015\t860\tforest, woodland, timberland, timber\n9970\tn03149951\t2\tcurio, curiosity, oddity, oddment, peculiarity, rarity\n9971\tn03722646\t2204\tmarlinespike, marlinspike, marlingspike\n9972\tn12847927\t5191\tpennyroyal, American pennyroyal, Hedeoma pulegioides\n9973\tn13233435\t5191\tasclepiad\n9974\tn04239333\t1715\tsliding window\n9975\tn02903727\t1057\tbroadcloth\n9976\tn11992166\t5191\tleopard plant\n9977\tn12104104\t5769\tsword grass\n9978\tn03156279\t1836\tcylinder\n9979\tn03764995\t2572\tmilking machine\n9980\tn03750437\t1056\tmercy seat\n9981\tn07880213\t597\tterrine\n9982\tn11697560\t5850\tbarberry\n9983\tn04584056\t2015\tWiffle, Wiffle Ball\n9984\tn04498275\t1248\ttupik, tupek, sealskin tent\n9985\tn10710913\t8547\ttiler\n9986\tn02815389\t1061\tbeading, beadwork\n9987\tn04162599\t862\tseat\n9988\tn03115525\t2572\tcotton gin, gin\n9989\tn03089348\t1041\tcone\n9990\tn04396902\t2297\ttea ball\n9991\tn03698123\t1061\tlunula\n9992\tn07938594\t791\tmold, mould\n9993\tn11748501\t5625\tpeanut, peanut vine, Arachis hypogaea\n9994\tn03955296\t2762\tplane, planer, planing machine\n9995\tn12601494\t5191\tbuckwheat, Polygonum fagopyrum, Fagopyrum esculentum\n9996\tn03031756\t1996\tcinch, girth\n9997\tn04405309\t3498\ttelevision-camera tube, television pickup tube\n9998\tn07875267\t597\trijsttaffel, rijstaffel, rijstafel\n9999\tn12886185\t5241\thot-rock penstemon, Penstemon deustus\n10000\tn03482988\t894\thandball court\n10001\tn04395875\t1193\ttavern, tap house\n10002\tn12874783\t5191\tsesame, benne, benni, benny, Sesamum indicum\n10003\tn02666501\t4132\tabandoned ship, derelict\n10004\tn12093885\t5191\tsea milkwort, sea trifoly, black saltwort, Glaux maritima\n10005\tn07848338\t302\tbutter\n10006\tn03465040\t1540\tguardroom\n10007\tn03752071\t1057\tmetallic\n10008\tn14583573\t1\tglop\n10009\tn12122725\t5769\tvelvet grass, Yorkshire fog, Holcus lanatus\n10010\tn04509985\t4659\tUnion Jack, Union flag\n10011\tn01876326\t6770\tbandicoot\n10012\tn12896000\t5191\teggplant, aubergine, brinjal, eggplant bush, garden egg, mad apple, Solanum melongena\n10013\tn04181083\t1061\tsgraffito\n10014\tn11995840\t5241\tblackfoot daisy, Melampodium leucanthum\n10015\tn12120114\t5769\tlove grass, bay grass\n10016\tn11839460\t5240\tumbrellawort\n10017\tn02927399\t862\tbutt, stub\n10018\tn03352484\t4680\tfish ladder\n10019\tn02677028\t1057\tacrylic\n10020\tn03798268\t1063\tmullion\n10021\tn04132829\t1057\tsamite\n10022\tn03651265\t1063\tlead, leading\n10023\tn04109702\t1061\trosemaling\n10024\tn03368141\t1061\tflower arrangement, floral arrangement\n10025\tn01959029\t8218\trazor clam, jackknife clam, knife-handle\n10026\tn04570532\t4783\tweeds, widow's weeds\n10027\tn03574243\t1056\tinstep\n10028\tn08502507\t870\tbackwater\n10029\tn11975658\t5191\tvegetable sheep, sheep plant, Haastia pulvinaris\n10030\tn03503567\t1316\thead gate\n10031\tn12862512\t5185\tplectranthus\n10032\tn12312110\t5191\tbloodwort\n10033\tn11885524\t5191\twhite rocket, Diplotaxis erucoides\n10034\tn02877642\t2170\tbottlebrush\n10035\tn04012260\t2\tproperty, prop\n10036\tn03199358\t1057\tdimity\n10037\tn12594533\t9325\tivory nut, vegetable ivory, apple nut\n10038\tn01324799\t5174\tinsectivore\n10039\tn12907057\t5191\tapple of Peru, shoo fly, Nicandra physaloides\n10040\tn02896294\t4783\tbreechcloth, breechclout, loincloth\n10041\tn09251689\t2\tcommemorative\n10042\tn11994150\t5191\ttarweed\n10043\tn12022821\t5241\tnorthern dune tansy, Tanacetum douglasii\n10044\tn03326371\t1193\tfeedlot\n10045\tn04198233\t1057\tshirting\n10046\tn12130549\t5769\ttimothy, herd's grass, Phleum pratense\n10047\tn08690479\t884\tkilling field\n10048\tn12888234\t5241\tcascade penstemon, Penstemon serrulatus\n10049\tn12585373\t9325\tcoquilla nut\n10050\tn03675445\t1057\tlinsey-woolsey\n10051\tn03060599\t1061\tcockade\n10052\tn01472502\t6519\tamniote\n10053\tn12258101\t5191\tone-flowered wintergreen, one-flowered pyrola, Moneses uniflora, Pyrola uniflora\n10054\tn03317889\t1057\tfaille\n10055\tn03153681\t862\tcutout\n10056\tn03420440\t1061\tgarnish\n10057\tn04151405\t1063\tscreed\n10058\tn02909053\t1056\tbubble\n10059\tn07771731\t9336\tbrazil nut, brazil\n10060\tn03458128\t1521\tgreenroom\n10061\tn02923802\t1195\tburr\n10062\tn12930778\t5191\tumbellifer, umbelliferous plant\n10063\tn04565039\t1053\tways, shipway, slipway\n10064\tn04010927\t1195\tprong\n10065\tn04357531\t4783\tsunsuit\n10066\tn03650173\t1041\tlayer, bed\n10067\tn03260849\t2518\tEames chair\n10068\tn03851219\t1906\toptical bench\n10069\tn02998107\t1057\tcerecloth\n10070\tn12592839\t9325\tbabassu nut\n10071\tn03356038\t4132\tflagship\n10072\tn02570838\t6545\tsurfperch, surffish, surf fish\n10073\tn02861658\t2204\tbodkin\n10074\tn13150378\t9308\tcubeb\n10075\tn12310349\t5850\tlilac\n10076\tn03608504\t4783\tkanzu\n10077\tn03319296\t1053\tfalse bottom\n10078\tn11857696\t5240\tportulaca\n10079\tn12004987\t5191\trattlesnake root, Prenanthes purpurea\n10080\tn02604954\t6545\tspadefish, angelfish, Chaetodipterus faber\n10081\tn11805255\t5191\tcaryophyllaceous plant\n10082\tn12839979\t5191\tgiant hyssop\n10083\tn07873198\t597\tpheasant under glass\n10084\tn04287986\t2204\tspreader\n10085\tn12802442\t5191\tsuksdorfia\n10086\tn04186709\t2265\tshear\n10087\tn03249956\t3666\tdrum, metal drum\n10088\tn01886045\t6770\tpouched mole, marsupial mole, Notoryctus typhlops\n10089\tn03638321\t1053\tlanding, landing place\n10090\tn13015688\t5178\tbottom rot fungus, Corticium solani\n10091\tn03241660\t1195\tdrip, drip mold, drip mould\n10092\tn07824502\t325\tmarinade\n10093\tn02610980\t6545\tthreadfin\n10094\tn04276404\t1195\tspike\n10095\tn12803754\t5191\tfoamflower, coolwart, false miterwort, false mitrewort, Tiarella cordifolia\n10096\tn04559275\t1062\twatercourse, waterway\n10097\tn04248010\t2\tsnake\n10098\tn02156732\t6519\ttetrapod\n10099\tn13123681\t5173\trock plant\n10100\tn12129738\t5769\treed canary grass, gardener's garters, lady's laces, ribbon grass, Phalaris arundinacea\n10101\tn07860629\t17\tmiraculous food, manna, manna from heaven\n10102\tn04513998\t1057\tupholstery material\n10103\tn11862835\t5241\tflame flower, flame-flower, flameflower, Talinum aurantiacum\n10104\tn04503155\t1057\ttwill\n10105\tn02559383\t6545\tpearlfish, pearl-fish\n10106\tn09432990\t2\tshiner\n10107\tn04113316\t2015\troulette ball\n10108\tn11946051\t5191\tsafflower, false saffron, Carthamus tinctorius\n10109\tn04271148\t1831\tspear, gig, fizgig, fishgig, lance\n10110\tn04565963\t3168\tweapon of mass destruction, WMD, W.M.D.\n10111\tn11946727\t5240\tcatananche\n10112\tn03162460\t1521\tdarkroom\n10113\tn01831712\t6527\tapodiform bird\n10114\tn04384406\t1061\ttail fin, tailfin, fin\n10115\tn10438728\t8547\tplanter\n10116\tn12115383\t5769\tplumed tussock, toe toe, toetoe, Cortaderia richardii, Arundo richardii\n10117\tn04572935\t3666\twell\n10118\tn09178596\t884\tDar al-harb, House of War\n10119\tn12351600\t5191\tmaranta\n10120\tn08614357\t884\tpanhandle\n10121\tn10709745\t8547\tthrowster, thrower\n10122\tn12035907\t5240\tbartonia, Mentzelia lindleyi\n10123\tn00005930\t5170\tdwarf\n10124\tn07765612\t33\thog plum, yellow mombin\n10125\tn12891469\t5190\twater speedwell, Veronica michauxii, Veronica anagallis-aquatica\n10126\tn11530715\t5173\tendemic\n10127\tn03635932\t1053\tlamination\n10128\tn11724660\t5240\tpheasant's-eye, Adonis annua\n10129\tn03078670\t3008\tcommutator\n10130\tn04444218\t1056\ttoe\n10131\tn03256928\t1540\tdungeon\n10132\tn03402511\t4870\tfull skirt\n10133\tn11995396\t5191\tpineapple weed, rayless chamomile, Matricaria matricarioides\n10134\tn04606358\t862\twreckage\n10135\tn12356395\t5191\tturmeric, Curcuma longa, Curcuma domestica\n10136\tn04304084\t4659\tStars and Bars, Confederate flag\n10137\tn03978575\t2015\tpolo ball\n10138\tn15110956\t1\tvegetable matter\n10139\tn03087643\t1906\tcondenser\n10140\tn07738105\t33\tfreestone\n10141\tn03102771\t1540\tcooler, tank\n10142\tn12298958\t5191\tmarsh felwort, Swertia perennia\n10143\tn12613706\t5190\thydrilla, Hydrilla verticillata\n10144\tn12526178\t5191\tprairie mimosa, prickle-weed, Desmanthus ilinoensis\n10145\tn04394261\t1897\ttarget, butt\n10146\tn02601344\t6545\tmullet, grey mullet, gray mullet\n10147\tn03476542\t4874\thair shirt\n10148\tn01383638\t5170\tplankton\n10149\tn04612840\t1996\tyoke\n10150\tn12327022\t5190\twater milfoil\n10151\tn03935450\t3168\tpike\n10152\tn03455033\t924\tgrave, tomb\n10153\tn07764315\t33\tsapodilla, sapodilla plum, sapota\n10154\tn03873996\t1056\tpaddle box, paddle-box\n10155\tn12131550\t5769\tmeadowgrass, meadow grass\n10156\tn12026981\t5241\tyellow salsify, Tragopogon dubius\n10157\tn07769465\t9336\tquandong nut\n10158\tn03825442\t2015\tninepin ball, skittle ball\n10159\tn04247440\t1521\tsmoking room\n10160\tn11893916\t5191\tchamois cress, Pritzelago alpina, Lepidium alpina\n10161\tn12113657\t5769\tburgrass, bur grass\n10162\tn12357968\t5191\tgrains of paradise, Guinea grains, Guinea pepper, melagueta pepper, Aframomum melegueta\n10163\tn08659993\t873\tcorner\n10164\tn12614096\t5190\tAmerican frogbit, Limnodium spongia\n10165\tn01515078\t6527\tnight bird\n10166\tn03331244\t1057\tfiber, fibre, vulcanized fiber\n10167\tn02783324\t1521\tballroom, dance hall, dance palace\n10168\tn15109745\t1\temanation\n10169\tn11834272\t5191\tglasswort, samphire, Salicornia europaea\n10170\tn03723885\t1996\tmartingale\n10171\tn13138308\t9308\tdrupe, stone fruit\n10172\tn04400499\t1906\ttelegraph, telegraphy\n10173\tn07849733\t302\twhey\n10174\tn04540153\t894\tvolleyball court\n10175\tn12829975\t5191\tgesneria\n10176\tn15004501\t1\tresidue\n10177\tn03153948\t3008\tcutout\n10178\tn08539457\t884\tenvirons, purlieu\n10179\tn02809241\t1057\tbatiste\n10180\tn09407346\t2\tremains\n10181\tn12868880\t5191\thedge nettle, dead nettle, Stachys sylvatica\n10182\tn03782929\t1057\tmonk's cloth\n10183\tn04167228\t2297\tseeder\n10184\tn12251278\t5191\tgalax, galaxy, wandflower, beetleweed, coltsfoot, Galax urceolata\n10185\tn12096395\t5190\twater pimpernel\n10186\tn11830714\t5191\torach, orache\n10187\tn02861509\t2204\tbodkin, threader\n10188\tn11890022\t5191\twoad\n10189\tn12712626\t5191\tfraxinella, dittany, burning bush, gas plant, Dictamnus alba\n10190\tn04463141\t1061\ttracery\n10191\tn03296963\t3173\tesophagoscope, oesophagoscope\n10192\tn03768823\t4132\tminelayer\n10193\tn12883628\t5240\tgerardia\n10194\tn07766530\t33\tmamey, mammee, mammee apple\n10195\tn12886402\t5241\tJones' penstemon, Penstemon dolius\n10196\tn04279666\t1061\tspiral, volute\n10197\tn11946313\t9325\tsafflower seed\n10198\tn04000311\t2572\tpress, printing press\n10199\tn01315805\t5174\trange animal\n10200\tn12932706\t5191\tchervil, beaked parsley, Anthriscus cereifolium\n10201\tn12577362\t5625\tmoth bean, Vigna aconitifolia, Phaseolus aconitifolius\n10202\tn04086066\t1300\trevetment\n10203\tn11929027\t5874\tsagebrush, sage brush\n10204\tn03597147\t3173\tjeweler's glass\n10205\tn02944256\t1057\tcamlet\n10206\tn07758407\t33\tcocoa plum, coco plum, icaco\n10207\tn02924554\t3802\tbus, jalopy, heap\n10208\tn12508309\t5193\tmilk vetch, milk-vetch\n10209\tn04417086\t3498\ttetrode\n10210\tn07750586\t9336\talmond\n10211\tn02826812\t1248\tbell tent\n10212\tn08620763\t873\tabutment\n10213\tn02874642\t1056\tbootleg\n10214\tn04348359\t1906\tsubmersible\n10215\tn02599958\t6545\tmullet\n10216\tn08610975\t924\tnesting place\n10217\tn11958888\t5240\tbilly buttons\n10218\tn12887532\t5241\tParry's penstemon, Penstemon parryi\n10219\tn07876550\t597\tscampi\n10220\tn12832822\t5185\tkohleria\n10221\tn12822769\t5191\tcomfrey, cumfrey\n10222\tn07763107\t33\tfeijoa, pineapple guava\n10223\tn02636170\t6545\ttripletail\n10224\tn04409911\t1195\ttenon\n10225\tn08652480\t924\tsolitude\n10226\tn11992479\t5240\tTexas star, Lindheimera texana\n10227\tn02621258\t6545\tsurgeonfish\n10228\tn11689197\t9325\tbonduc nut, nicker nut, nicker seed\n10229\tn10593618\t8547\tshoveler, shoveller\n10230\tn04174026\t1057\tserge\n10231\tn04234160\t3168\tslasher\n10232\tn12868019\t5191\tblue pimpernel, blue skullcap, mad-dog skullcap, mad-dog weed, Scutellaria lateriflora\n10233\tn04200390\t1053\tshoebox\n10234\tn11986306\t5191\tlettuce\n10235\tn05556595\t873\tnavel, umbilicus, bellybutton, belly button, omphalos, omphalus\n10236\tn12577895\t5625\tsnailflower, snail-flower, snail flower, snail bean, corkscrew flower, Vigna caracalla, Phaseolus caracalla\n10237\tn09474162\t2\twall\n10238\tn02685253\t2581\taileron\n10239\tn04441790\t1906\ttitrator\n10240\tn03275311\t3174\telectroencephalograph\n10241\tn02910542\t1057\tbuckram\n10242\tn11738547\t5241\tmeadow rue\n10243\tn02635580\t6545\tclingfish\n10244\tn03523506\t4870\thobble skirt\n10245\tn08506347\t884\tsemidesert\n10246\tn12696830\t9325\tneem seed\n10247\tn08617963\t924\tpeak, crown, crest, top, tip, summit\n10248\tn03703590\t1057\tmackintosh, macintosh\n10249\tn12094244\t5190\tfeatherfoil, feather-foil\n10250\tn11887310\t5240\tprairie rocket\n10251\tn08538917\t924\tpolling place, polling station\n10252\tn11536230\t5173\tpot plant\n10253\tn12875269\t5191\tcommon unicorn plant, devil's claw, common devil's claw, elephant-tusk, proboscis flower, ram's horn, Proboscidea louisianica\n10254\tn12904314\t5191\thenbane, black henbane, stinking nightshade, Hyoscyamus niger\n10255\tn04474187\t4132\ttransport ship\n10256\tn03438780\t2258\tglass cutter\n10257\tn12857779\t5191\tmolucca balm, bells of Ireland, Molucella laevis\n10258\tn03347191\t3168\tfire ship\n10259\tn03232815\t1302\tdrainplug\n10260\tn01517036\t6527\tIbero-mesornis\n10261\tn12593341\t9325\tcohune nut\n10262\tn13152339\t5191\tyerba mansa, Anemopsis californica\n10263\tn02767147\t4282\tbaby shoe\n10264\tn12800586\t5191\tmiterwort, mitrewort, bishop's cap\n10265\tn12532168\t5625\tsoy, soya, soybean, soya bean, soybean plant, soja, soja bean, Glycine max\n10266\tn02559862\t6545\trobalo\n10267\tn03973945\t1836\tpod, fuel pod\n10268\tn12256112\t5191\twintergreen, pyrola\n10269\tn12799269\t5241\tleatherleaf saxifrage, Leptarrhena pyrolifolia\n10270\tn03284308\t1836\tempty\n10271\tn12851094\t5191\tlion's-ear, Leonotis nepetaefolia, Leonotis nepetifolia\n10272\tn03708962\t3498\tmagnetron\n10273\tn11948469\t5240\tsweet sultan, Centaurea imperialis\n10274\tn12113790\t5769\tsandbur, sandspur, field sandbur, Cenchrus tribuloides\n10275\tn11918808\t5240\tsweet sultan, Amberboa moschata, Centaurea moschata\n10276\tn02558560\t6545\tsandfish\n10277\tn03418488\t1061\tgargoyle\n10278\tn03905053\t862\tpeen\n10279\tn12905817\t5191\ttomato, love apple, tomato plant, Lycopersicon esculentum\n10280\tn11920498\t5240\tammobium\n10281\tn09428967\t1\tsediment, deposit\n10282\tn03705808\t1836\tmagnetic bottle\n10283\tn12931906\t5191\tangelica, angelique\n10284\tn03834040\t1906\tnuclear reactor, reactor\n10285\tn04463983\t1041\ttrack\n10286\tn03622526\t3498\tklystron\n10287\tn07733005\t207\tgarden cress\n10288\tn04430896\t1056\tthumb\n10289\tn11689367\t9325\tJob's tears\n10290\tn12837803\t5191\tfiesta flower, Pholistoma auritum, Nemophila aurita\n10291\tn07764486\t33\tsapote, mammee, marmalade plum\n10292\tn12103349\t5769\tbeach grass\n10293\tn13069773\t5178\tfelt fungus, Septobasidium pseudopedicellatum\n10294\tn12887065\t5241\tmountain pride, Penstemon newberryi\n10295\tn07739035\t33\twindfall\n10296\tn12885045\t5241\tgolden-beard penstemon, Penstemon barbatus\n10297\tn13081229\t5178\tgreen smut fungus, Ustilaginoidea virens\n10298\tn03411927\t1521\tgallery\n10299\tn07663899\t597\tpatty, cake\n10300\tn12875861\t5191\tsweet unicorn plant, Proboscidea fragrans, Martynia fragrans\n10301\tn04609651\t1906\tX-ray machine\n10302\tn04367950\t4783\tswaddling clothes, swaddling bands\n10303\tn12025507\t5241\told man of the mountain, alpine sunflower, Tetraneuris grandiflora, Hymenoxys grandiflora\n10304\tn12032686\t5241\twhite-rayed mule's ears, Wyethia helianthoides\n10305\tn03952150\t1715\tpivoting window\n10306\tn04096848\t1300\troadblock, barricade\n10307\tn12128490\t5769\tknotgrass, Paspalum distichum\n10308\tn03561657\t1056\timbrication, overlapping, lapping\n10309\tn03280064\t1041\telectroplate\n10310\tn03267696\t1057\telastic\n10311\tn02734423\t1061\tarchitectural ornament\n10312\tn04219424\t1057\tsilk\n10313\tn12019827\t5191\tstevia\n10314\tn07762373\t33\tkai apple\n10315\tn01314910\t5174\tdarter\n10316\tn08516767\t870\tbreadbasket\n10317\tn03140126\t3666\tcrucible, melting pot\n10318\tn04561734\t1057\twaterproof\n10319\tn11922192\t5191\tladies' tobacco, lady's tobacco, Antennaria plantaginifolia\n10320\tn04435552\t2258\ttile cutter\n10321\tn01384687\t5170\tparasite\n10322\tn12156679\t5191\tbur reed\n10323\tn12533190\t5191\twild licorice, wild liquorice, American licorice, American liquorice, Glycyrrhiza lepidota\n10324\tn08520401\t873\tcelestial point\n10325\tn10565048\t8547\tscrubber\n10326\tn12029039\t5191\tturfing daisy, Tripleurospermum tchihatchewii, Matricaria tchihatchewii\n10327\tn03914231\t1057\tpepper-and-salt\n10328\tn11699071\t5191\tbarrenwort, bishop's hat, Epimedium grandiflorum\n10329\tn03012499\t2297\tcheese cutter\n10330\tn01935176\t8208\toligochaete, oligochaete worm\n10331\tn07850219\t302\tclabber\n10332\tn02797535\t1053\tbascule\n10333\tn12032429\t5241\tmule's ears, Wyethia amplexicaulis\n10334\tn12114397\t5769\tfinger grass\n10335\tn07870313\t597\tseafood Newburg\n10336\tn03695616\t1195\tlug\n10337\tn12396924\t5850\tcannabis, hemp\n10338\tn03532080\t2\thoodoo\n10339\tn12679876\t5191\tfeverroot, horse gentian, tinker's root, wild coffee, Triostium perfoliatum\n10340\tn13135692\t9308\tfruitlet\n10341\tn11898271\t5190\tawlwort, Subularia aquatica\n10342\tn11700279\t9308\tMay apple\n10343\tn04573045\t1053\twellhead\n10344\tn01324916\t5174\tacrodont\n10345\tn12786836\t5874\tpinwheel, Aeonium haworthii\n10346\tn12647787\t9308\thagberry\n10347\tn02621908\t6545\tgempylid\n10348\tn14939445\t1\tfluid\n10349\tn07766409\t33\tlonganberry, dragon's eye\n10350\tn07763483\t33\tgenipap, genipap fruit\n10351\tn11968335\t5191\themp agrimony, Eupatorium cannabinum\n10352\tn12245695\t5850\tcranberry\n10353\tn01516212\t6527\tarchaeopteryx, archeopteryx, Archaeopteryx lithographica\n10354\tn03932080\t1715\tpicture window\n10355\tn03025165\t3778\tchoo-choo\n10356\tn08547938\t873\tcrossing\n10357\tn13238988\t5850\tstephanotis\n10358\tn11997969\t5850\tdaisybush, daisy-bush, daisy bush\n10359\tn12130160\t5769\thardinggrass, Harding grass, toowomba canary grass, Phalaris aquatica, Phalaris tuberosa\n10360\tn12841872\t5191\tblack horehound, black archangel, fetid horehound, stinking horehound, Ballota nigra\n10361\tn11780930\t5514\tsweet flag, calamus, sweet calamus, myrtle flag, flagroot, Acorus calamus\n10362\tn01318660\t5174\tmolter, moulter\n10363\tn11867311\t5191\tclammyweed, Polanisia graveolens, Polanisia dodecandra\n10364\tn12863624\t5191\tmountain mint\n10365\tn12001924\t5240\tflorest's cineraria, Pericallis hybrida\n10366\tn11969806\t5240\tkingfisher daisy, Felicia bergeriana\n10367\tn07863229\t597\tbubble and squeak\n10368\tn02943964\t4874\tcamise\n10369\tn12882158\t5241\tblue-eyed Mary, Collinsia verna\n10370\tn07655067\t597\tescalope de veau Orloff\n10371\tn08585056\t924\tholy place, sanctum, holy\n10372\tn03667235\t1906\tlighting\n10373\tn02821202\t3666\tbedpan\n10374\tn04515890\t3666\turceole\n10375\tn12395906\t5193\tQueensland grass-cloth plant, Pipturus argenteus\n10376\tn14583400\t17\tchyme\n10377\tn12000356\t5191\tgolden groundsel, golden ragwort, Packera aurea, Senecio aureus\n10378\tn03880323\t1836\tpan\n10379\tn04029416\t1248\tpyramidal tent\n10380\tn12376740\t5874\tbeach heather, poverty grass, Hudsonia tomentosa\n10381\tn01323781\t5174\tgiant\n10382\tn07819480\t325\tmustard, table mustard\n10383\tn07648997\t597\tbarbecued wing\n10384\tn12520406\t5625\tguar, cluster bean, Cyamopsis tetragonolobus, Cyamopsis psoraloides\n10385\tn12945828\t5191\tAlexander, Alexanders, black lovage, horse parsley, Smyrnium olusatrum\n10386\tn03727946\t1897\tmat, gym mat\n10387\tn02796412\t1300\tbarricade\n10388\tn04363082\t4180\tsurface ship\n10389\tn09859684\t8547\tbleacher\n10390\tn13103660\t5193\tlignosae\n10391\tn03458961\t1063\treef\n10392\tn04387531\t1057\ttammy\n10393\tn12968309\t5178\tbrown cup\n10394\tn12259316\t5241\tpinesap, false beachdrops, Monotropa hypopithys\n10395\tn03776877\t4282\tmoccasin, mocassin\n10396\tn04509592\t4767\tuniform\n10397\tn13085747\t5191\twort\n10398\tn01319187\t5174\tstunt\n10399\tn12444898\t5191\tclimbing onion, Bowiea volubilis\n10400\tn03480973\t1996\thame\n10401\tn03253071\t1057\tduck\n10402\tn03288003\t2595\tengine\n10403\tn10621941\t8547\tsolderer\n10404\tn03516266\t1057\therringbone\n10405\tn12844409\t5191\thorse balm, horseweed, stoneroot, stone-root, richweed, stone root, Collinsonia canadensis\n10406\tn12354619\t5191\tbird of paradise, Strelitzia reginae\n10407\tn13016076\t5178\tpotato fungus, Pellicularia filamentosa, Rhizoctinia solani\n10408\tn12906498\t5191\tmandrake, devil's apples, Mandragora officinarum\n10409\tn13035389\t5178\tlorchel\n10410\tn11861021\t5191\tIndian lettuce\n10411\tn02921195\t1057\tbunting\n10412\tn02637977\t6545\twhiting\n10413\tn12119099\t5769\tlyme grass\n10414\tn04120998\t1146\trunway\n10415\tn12605683\t5514\tyellow-eyed grass\n10416\tn02675885\t3498\tacorn tube\n10417\tn10582154\t8547\tservant, retainer\n10418\tn04428008\t3008\tthree-way switch, three-point switch\n10419\tn12816942\t5191\tcommon amsinckia, Amsinckia intermedia\n10420\tn03335461\t1056\tfig leaf\n10421\tn13015509\t5178\tpink disease fungus, Corticium salmonicolor\n10422\tn03870290\t2617\tpacemaker, artificial pacemaker\n10423\tn03864356\t1195\toverhang\n10424\tn04384757\t1316\ttail gate\n10425\tn12888016\t5241\tRydberg's penstemon, Penstemon rydbergii\n10426\tn12809365\t5191\tpolemonium\n10427\tn12022382\t5191\tpyrethrum, Dalmatian pyrethrum, Dalmatia pyrethrum, Tanacetum cinerariifolium, Chrysanthemum cinerariifolium\n10428\tn12024176\t5191\tdandelion, blowball\n10429\tn12854048\t5191\thorehound\n10430\tn03168364\t1041\tdecker\n10431\tn11860208\t5241\tsiskiyou lewisia, Lewisia cotyledon\n10432\tn13124358\t5170\tsaprobe\n10433\tn04343346\t1061\tstud, rivet\n10434\tn12574470\t5191\tfenugreek, Greek clover, Trigonella foenumgraecum\n10435\tn03805180\t2170\tnailbrush\n10436\tn03167666\t1146\tdeck\n10437\tn02955540\t1996\tcaparison, trapping, housing\n10438\tn07774182\t9336\tgrugru nut\n10439\tn11928549\t5874\twormwood\n10440\tn12324056\t5193\tcombretum\n10441\tn04515444\t2164\tupset, swage\n10442\tn07861983\t597\tmoo goo gai pan\n10443\tn07642361\t597\tfish stick, fish finger\n10444\tn11917835\t5191\twhite snakeroot, white sanicle, Ageratina altissima, Eupatorium rugosum\n10445\tn12817129\t5191\tlarge-flowered fiddleneck, Amsinckia grandiflora\n10446\tn03041265\t1195\tcleat\n10447\tn11885856\t5191\tdraba\n10448\tn11892181\t5240\tVirginian stock, Virginia stock, Malcolmia maritima\n10449\tn03292085\t2164\teolith\n10450\tn03841290\t1715\toeil de boeuf\n10451\tn12140358\t5769\tdropseed, drop-seed\n10452\tn11872973\t5191\thorseradish, horse radish, red cole, Armoracia rusticana\n10453\tn12842302\t5191\twood mint\n10454\tn07764630\t33\ttamarind, tamarindo\n10455\tn03429003\t4870\tgathered skirt\n10456\tn12878784\t5191\tfalse foxglove, Aureolaria pedicularia, Gerardia pedicularia\n10457\tn03413428\t1773\tgambling house, gambling den, gambling hell, gaming house\n10458\tn04300509\t2762\tstamping machine, stamper\n10459\tn13066129\t5178\tsmut, smut fungus\n10460\tn03461651\t1057\tgrogram\n10461\tn04612623\t4659\tyellow jack\n10462\tn03009633\t2\tcharm, good luck charm\n10463\tn12850906\t5191\tdagga, Cape dagga, red dagga, wilde dagga, Leonotis leonurus\n10464\tn12853080\t5191\toriganum\n10465\tn12027222\t5191\tsalsify, oyster plant, vegetable oyster, Tragopogon porrifolius\n10466\tn11825749\t5191\tcottonweed\n10467\tn09909660\t8547\tcharcoal burner\n10468\tn13038577\t5178\tGyromitra fastigiata, Gyromitra brunnea\n10469\tn04530283\t2581\tvertical tail\n10470\tn01384164\t5174\tzooplankton\n10471\tn03585337\t1831\tiron, branding iron\n10472\tn04274530\t1041\tsphere\n10473\tn04348184\t4180\tsubmersible, submersible warship\n10474\tn04328703\t1836\tstorage ring\n10475\tn12618727\t5190\teelgrass, grass wrack, sea wrack, Zostera marina\n10476\tn04158250\t2265\tscythe\n10477\tn07875560\t597\troulade\n10478\tn12252168\t5240\tshortia\n10479\tn04449550\t1316\ttollgate, tollbar\n10480\tn12444095\t5240\tChristmas bells\n10481\tn12852428\t5191\twater horehound, Lycopus americanus\n10482\tn02574271\t6545\tcobia, Rachycentron canadum, sergeant fish\n10483\tn12021499\t5191\tcostmary, alecost, bible leaf, mint geranium, balsam herb, Tanacetum balsamita, Chrysanthemum balsamita\n10484\tn02928841\t1041\tbutton\n10485\tn11997032\t5191\trattlesnake root\n10486\tn12760132\t5850\tsmoke tree, smoke bush\n10487\tn03825673\t1057\tninon\n10488\tn08578174\t884\tdust bowl\n10489\tn12251001\t5874\tdiapensia\n10490\tn09409203\t2\tribbon, thread\n10491\tn03721047\t2015\tmarble\n10492\tn03780799\t1057\tmoleskin\n10493\tn03501288\t1195\thead\n10494\tn13016289\t5178\tcoffee fungus, Pellicularia koleroga\n10495\tn07937621\t597\tramekin, ramequin\n10496\tn01524761\t6527\tnonpasserine bird\n10497\tn02817650\t1831\tbeater\n10498\tn02511730\t6527\ttwitterer\n10499\tn03281524\t2581\televator\n10500\tn03227184\t1715\tdouble-hung window\n10501\tn02724026\t1041\tantiquity\n10502\tn12569426\t5625\tsesbania\n10503\tn02811842\t4659\tbattle flag\n10504\tn13150592\t9308\tschizocarp\n10505\tn03127531\t1300\tcrash barrier\n10506\tn03189818\t3174\tdiathermy machine\n10507\tn02772435\t894\tbadminton court\n10508\tn11820965\t5240\tfig marigold, pebble plant\n10509\tn03045800\t1521\tcloakroom, coatroom\n10510\tn03632100\t2015\tlacrosse ball\n10511\tn03758894\t3261\tmicrobalance\n10512\tn13119870\t5193\tbramble\n10513\tn12812235\t5191\tacanthus\n10514\tn07733124\t207\twinter cress\n10515\tn11961446\t5240\tcape marigold, sun marigold, star of the veldt\n10516\tn03123666\t1056\tcover plate\n10517\tn04056599\t2204\travehook\n10518\tn03525252\t1540\thold, keep\n10519\tn12907465\t5191\ttobacco, tobacco plant\n10520\tn12908645\t5191\tcupflower, nierembergia\n10521\tn12443736\t5240\tcoral drops, Bessera elegans\n10522\tn12913144\t5240\tbutterfly flower, poor man's orchid, schizanthus\n10523\tn13138842\t9308\tpome, false fruit\n10524\tn03466027\t1053\tguide\n10525\tn10646032\t8547\tstainer\n10526\tn12933403\t5191\tcelery, cultivated celery, Apium graveolens dulce\n10527\tn07762740\t33\tackee, akee\n10528\tn12885265\t5241\tscarlet bugler, Penstemon centranthifolius\n10529\tn13039349\t5178\tgasteromycete, gastromycete\n10530\tn04457326\t4180\ttorpedo boat\n10531\tn10530150\t8579\trider\n10532\tn11975254\t5185\tvelvet plant, purple velvet plant, royal velvet plant, Gynura aurantiaca\n10533\tn02994419\t1061\tcenterpiece, centrepiece\n10534\tn02786984\t1146\tbandstand, outdoor stage, stand\n10535\tn02894431\t3388\tbreak seal\n10536\tn04481796\t4659\ttricolor, tricolour\n10537\tn03038870\t2655\tclavichord\n10538\tn01415920\t5170\tprokaryote, procaryote\n10539\tn15047849\t1\tsolute\n10540\tn12834798\t5191\twaterleaf\n10541\tn11891541\t5191\thonesty, silver dollar, money plant, satin flower, satinpod, Lunaria annua\n10542\tn02230480\t8341\ttree cricket\n10543\tn02230187\t8341\tfield cricket, Acheta assimilis\n10544\tn02230023\t8341\tEuropean house cricket, Acheta domestica\n10545\tn02229765\t8341\tmole cricket\n10546\tn07586179\t647\tmock turtle soup\n10547\tn07587331\t647\teggdrop soup\n10548\tn07588419\t647\tgreen pea soup, potage St. Germain\n10549\tn07588688\t647\tScotch broth\n10550\tn07586485\t647\toxtail soup\n10551\tn07588817\t647\tvichyssoise\n10552\tn07587206\t647\tturtle soup, green turtle soup\n10553\tn07585997\t647\tjulienne\n10554\tn07583865\t647\tsoup du jour\n10555\tn07583978\t647\talphabet soup\n10556\tn07585644\t647\tcock-a-leekie, cocky-leeky\n10557\tn07586318\t647\tmulligatawny\n10558\tn13217993\t5181\tpsilophyton\n10559\tn13217494\t5181\tpsilophyte\n10560\tn13134844\t5181\tcormous plant\n10561\tn13120958\t5181\tgeophyte\n10562\tn13102648\t5181\tcreeper\n10563\tn13099999\t5181\tdeciduous plant\n10564\tn13099833\t5181\tevergreen, evergreen plant\n10565\tn13084993\t5181\tcultivated plant\n10566\tn12387103\t5181\thalophyte\n10567\tn07835547\t350\tbearnaise\n10568\tn07831955\t350\tbread sauce\n10569\tn07840304\t350\tpoulette\n10570\tn07830690\t350\thard sauce\n10571\tn07830841\t350\thorseradish sauce, sauce Albert\n10572\tn07857598\t350\tsnail butter\n10573\tn07840219\t350\tcaper sauce\n10574\tn07831663\t350\twine sauce\n10575\tn07836456\t350\tChinese brown sauce, brown sauce\n10576\tn07839730\t350\tSoubise, white onion sauce\n10577\tn07839055\t350\tNantua, shrimp sauce\n10578\tn07832202\t350\tpeach sauce\n10579\tn07840395\t350\tcurry sauce\n10580\tn07837755\t350\tdemiglace, demi-glaze\n10581\tn07839312\t350\tpepper sauce, Poivrade\n10582\tn07830493\t350\tanchovy sauce\n10583\tn07838073\t350\tgravy\n10584\tn07832592\t350\travigote, ravigotte\n10585\tn07838905\t350\tmustard sauce\n10586\tn07836077\t350\tbrown sauce, sauce Espagnole\n10587\tn07832099\t350\tplum sauce\n10588\tn07837110\t350\tcocktail sauce, seafood sauce\n10589\tn07837362\t350\twhite sauce, bechamel sauce, bechamel\n10590\tn07834774\t350\taioli, aioli sauce, garlic sauce\n10591\tn03792334\t1914\tmound, hill, pitcher's mound\n10592\tn04110281\t1914\trosin bag\n10593\tn03942397\t1914\tpine-tar rag\n10594\tn03137473\t4587\tcrossjack, mizzen course\n10595\tn07859284\t326\tsugar, refined sugar\n10596\tn03332005\t3174\tfiberscope\n10597\tn02294577\t6500\tpotato tuberworm, Phthorimaea operculella\n10598\tn02308139\t6500\twebworm\n10599\tn02297938\t6500\tbeet armyworm, Spodoptera exigua\n10600\tn02310000\t6500\tbollworm\n10601\tn02298218\t6500\tfall armyworm, Spodoptera frugiperda\n10602\tn02287799\t6500\tcankerworm\n10603\tn02308033\t6500\tlappet caterpillar\n10604\tn02309841\t6500\tcorn borer, Pyrausta nubilalis\n10605\tn01925916\t6462\tcercaria\n10606\tn01924800\t6462\tbladder worm\n10607\tn02200509\t6462\twiggler, wriggler\n10608\tn02176916\t6462\twireworm\n10609\tn02311748\t6462\tleptocephalus\n10610\tn02181477\t6462\tmealworm\n10611\tn02264591\t6462\taphid lion, aphis lion\n10612\tn02266269\t6462\thellgrammiate, dobson\n10613\tn02217839\t6462\tstrawworm, jointworm\n10614\tn02312006\t6462\tgrub\n10615\tn13158512\t9303\tlinear leaf, elongate leaf\n10616\tn03205458\t3323\tdirk\n10617\tn03424489\t3225\tgas meter, gasometer\n10618\tn04058239\t3533\tread-only memory, ROM, read-only storage, fixed storage\n10619\tn03437829\t3525\tgirandole, girandola\n10620\tn12340383\t6031\ttupelo, tupelo tree\n10621\tn03479121\t1193\thall\n10622\tn03605598\t4783\tjump suit, jumpsuit\n10623\tn03237839\t3899\tdressing case\n10624\tn04248851\t2579\tsnare, gin, noose\n10625\tn12529220\t6002\tcork tree, Erythrina vespertilio\n10626\tn03035832\t2664\tcittern, cithern, cither, citole, gittern\n10627\tn04198562\t5026\tshirtwaist, shirtwaister\n10628\tn03840823\t3167\toctant\n10629\tn02169705\t8386\tflea beetle\n10630\tn13240362\t5851\ttree of knowledge\n10631\tn13144084\t5851\thazel, hazel tree, Pomaderris apetala\n10632\tn13142907\t5851\tnakedwood\n10633\tn13111340\t5851\tfever tree\n10634\tn13107891\t5851\tarbor\n10635\tn13107807\t5851\ttreelet\n10636\tn12916511\t5851\tteak, Tectona grandis\n10637\tn12916179\t5851\tblack mangrove, Aegiceras majus\n10638\tn12815668\t5851\tcalabash, calabash tree, Crescentia cujete\n10639\tn12787364\t5851\tChristmas bush, Christmas tree, Ceratopetalum gummiferum\n10640\tn12775919\t5851\tmarmalade tree, mammee, sapote, Pouteria zapota, Calocarpum zapota\n10641\tn12775393\t5851\tgutta-percha tree\n10642\tn12765402\t5851\tBrazilian pepper tree, Schinus terebinthifolius\n10643\tn12741222\t5851\tsoapberry, soapberry tree\n10644\tn12736603\t5851\tquandong, quandang, quandong tree, Eucarya acuminata, Fusanus acuminatus\n10645\tn12718074\t5851\tpepper tree, Kirkia wilmsii\n10646\tn12714254\t5851\ttrifoliate orange, trifoliata, wild orange, Poncirus trifoliata\n10647\tn12699301\t5851\tlanseh tree, langsat, langset, Lansium domesticum\n10648\tn12698435\t5851\tsilver ash\n10649\tn12697514\t5851\tsatinwood, satinwood tree, Chloroxylon swietenia\n10650\tn12695975\t5851\tchinaberry, chinaberry tree, China tree, Persian lilac, pride-of-India, azederach, azedarach, Melia azederach, Melia azedarach\n10651\tn12695144\t5851\tmahogany, mahogany tree\n10652\tn12670962\t5851\tSpanish tamarind, Vangueria madagascariensis\n10653\tn12669803\t5851\tlemonwood, lemon-wood, lemonwood tree, lemon-wood tree, Psychotria capensis\n10654\tn12668917\t5851\topepe, Nauclea diderrichii, Sarcocephalus diderrichii\n10655\tn12573911\t5851\ttipu, tipu tree, yellow jacaranda, pride of Bolivia\n10656\tn12569851\t5851\tscarlet wisteria tree, vegetable hummingbird, Sesbania grandiflora\n10657\tn12569037\t5851\tcarib wood, Sabinea carinalis\n10658\tn12566331\t5851\tred sandalwood, red sanders, red sanderswood, red saunders, Pterocarpus santalinus\n10659\tn12565102\t5851\tbloodwood tree, kiaat, Pterocarpus angolensis\n10660\tn12559518\t5851\tJamaica dogwood, fish fuddle, Piscidia piscipula, Piscidia erythrina\n10661\tn12553573\t5851\tnecklace tree\n10662\tn12549799\t5851\tmillettia\n10663\tn12531727\t5851\tgliricidia\n10664\tn12523850\t5851\tcocobolo, Dalbergia retusa\n10665\tn12523141\t5851\tkingwood, kingwood tree, Dalbergia cearensis\n10666\tn12510343\t5851\tdhak, dak, palas, Butea frondosa, Butea monosperma\n10667\tn12506181\t5851\tangelim, andelmin\n10668\tn12498055\t5851\tpalo verde, Parkinsonia florida, Cercidium floridum\n10669\tn12491435\t5851\tmsasa, Brachystegia speciformis\n10670\tn12490490\t5851\tshingle tree, Acrocarpus fraxinifolius\n10671\tn12489268\t5851\tbrazilwood, peachwood, peach-wood, pernambuco wood, Caesalpinia echinata\n10672\tn12478768\t5851\tcabbage tree, grass tree, Cordyline australis\n10673\tn12380305\t5851\tidesia, Idesia polycarpa\n10674\tn12379781\t5851\tHydnocarpus laurifolia, Hydnocarpus wightiana\n10675\tn12378963\t5851\tketembilla, kitembilla, kitambilla, ketembilla tree, Ceylon gooseberry, Dovyalis hebecarpa\n10676\tn12377198\t5851\tdipterocarp\n10677\tn12373739\t5851\tsouari, souari nut, souari tree, Caryocar nuciferum\n10678\tn12370549\t5851\trose chestnut, ironwood, ironwood tree, Mesua ferrea\n10679\tn12366053\t5851\twild fig, Clusia flava\n10680\tn12365900\t5851\tclusia\n10681\tn12365285\t5851\tlaurelwood, lancewood tree, Calophyllum candidissimum\n10682\tn12364940\t5851\tcalaba, Santa Maria tree, Calophyllum calaba\n10683\tn12324906\t5851\tbutton tree, button mangrove, Conocarpus erectus\n10684\tn12264786\t5851\tgiant chinkapin, golden chinkapin, Chrysolepis chrysophylla, Castanea chrysophylla, Castanopsis chrysophylla\n10685\tn12223160\t5851\tscrub beefwood, beefwood, Stenocarpus salignus\n10686\tn12222900\t5851\twheel tree, firewheel tree, Stenocarpus sinuatus\n10687\tn12220496\t5851\tsilver tree, Leucadendron argenteum\n10688\tn12201938\t5851\tobeche, obechi, arere, samba, Triplochiton scleroxcylon\n10689\tn12200905\t5851\tmayeng, maple-leaved bayur, Pterospermum acerifolium\n10690\tn12194613\t5851\tbreakax, breakaxe, break-axe, Sloanea jamaicensis\n10691\tn12192877\t5851\tquandong, quandong tree, Brisbane quandong, silver quandong tree, blue fig, Elaeocarpus grandis\n10692\tn12192132\t5851\tshaving-brush tree, Pseudobombax ellipticum\n10693\tn11799331\t5851\tpuka, Meryta sinclairii\n10694\tn11770256\t5851\tdita, dita bark, devil tree, Alstonia scholaris\n10695\tn11761836\t5851\tice-cream bean, Inga edulis\n10696\tn11761202\t5851\tconacaste, elephant's ear, Enterolobium cyclocarpa\n10697\tn11749112\t5851\tgranadilla tree, granadillo, Brya ebenus\n10698\tn11745817\t5851\tzebrawood, zebrawood tree\n10699\tn11739978\t5851\twinter's bark, winter's bark tree, Drimys winteri\n10700\tn11696935\t5851\tGuinea pepper, negro pepper, Xylopia aethiopica\n10701\tn07767549\t340\tblack olive, ripe olive\n10702\tn11893640\t5191\tbladderpod\n10703\tn05548840\t4\tshoulder\n10704\tn02665543\t4\tthorax\n10705\tn05556472\t4\thaunch\n10706\tn02463403\t4\tloin, lumbus\n10707\tn02463611\t4\thindquarters, croup, croupe, rump\n10708\tn05562756\t4\tshank\n10709\tn05556325\t4\thip\n10710\tn05558717\t4\tback, dorsum\n10711\tn05537806\t4\trectum\n10712\tn05559256\t4\tbuttocks, nates, arse, butt, backside, bum, buns, can, fundament, hindquarters, hind end, keister, posterior, prat, rear, rear end, rump, stern, seat, tail, tail end, tooshie, tush, bottom, behind, derriere, fanny, ass\n10713\tn05577654\t4\ttoe\n10714\tn05308310\t8\troot, tooth root\n10715\tn05290756\t8\thead\n10716\tn05397178\t8\tvascular structure\n10717\tn05387842\t8\talveolar bed\n10718\tn05435477\t8\tnucleolus organizer, nucleolus organiser, nucleolar organizer, nucleolar organiser\n10719\tn05235879\t8\trib\n10720\tn05462674\t8\tneural structure\n10721\tn05368278\t8\tglans\n10722\tn05229198\t8\tconcha\n10723\tn02155872\t8\ttooth\n10724\tn03669886\t3432\tlimiter, clipper\n10725\tn07714802\t158\tred cabbage\n10726\tn11923397\t5268\tyellow chamomile, golden marguerite, dyers' chamomile, Anthemis tinctoria\n10727\tn03331599\t2864\tfiber optic cable, fibre optic cable\n10728\tn02841187\t4349\tbinnacle\n10729\tn03089753\t1387\tconference center, conference house\n10730\tn04343511\t1387\tstudent center\n10731\tn04175574\t1387\tservice club\n10732\tn02922996\t1387\tburn center\n10733\tn03061674\t3083\tcockpit\n10734\tn11686912\t5173\tsporophyte\n10735\tn04213353\t2265\tsickle, reaping hook, reap hook\n10736\tn03520811\t1192\thindrance, hinderance, hitch, preventive, preventative, encumbrance, incumbrance, interference\n10737\tn02789271\t1192\tbar\n10738\tn02750169\t1234\tassembly plant\n10739\tn02854532\t2272\tblock plane\n10740\tn07818572\t317\tgarlic chive\n10741\tn09283767\t860\tforeland\n10742\tn12004547\t5191\tstevia\n10743\tn04533499\t2856\tVictrola\n10744\tn04127633\t3003\tsafety valve, relief valve, escape valve, escape cock, escape\n10745\tn03667552\t3304\tlight machine gun\n10746\tn01497118\t6705\tsawfish\n10747\tn03171635\t2617\tdefibrillator\n10748\tn03724538\t1954\tmashie, five iron\n10749\tn09273776\t9295\tenvelope\n10750\tn09305358\t9295\thood, cap\n10751\tn05238036\t9295\tsheath, case\n10752\tn13092722\t9295\ttheca, sac\n10753\tn09432430\t9295\tshell, eggshell\n10754\tn09260218\t9295\tcrust, incrustation, encrustation\n10755\tn09471349\t9295\tvesture\n10756\tn11684264\t9295\tpericarp, seed vessel\n10757\tn09312094\t9295\tindumentum, indument\n10758\tn11533365\t9295\tperidium\n10759\tn09436531\t9295\tskim\n10760\tn09438055\t9295\tslough\n10761\tn09223725\t9295\tblanket, mantle\n10762\tn13162297\t9295\tbark\n10763\tn03423568\t3935\tgas holder, gasometer\n10764\tn12441958\t6379\tasphodel\n10765\tn12081215\t5296\thelmet orchid, greenhood\n10766\tn12928071\t5850\tslipper spurge, slipper plant\n10767\tn04155068\t4256\tscrewtop\n10768\tn04253168\t1831\tsnuffer\n10769\tn03342262\t4258\tfinger plate, escutcheon, scutcheon\n10770\tn09208496\t1043\tasterism\n10771\tn04141198\t2698\tsaxhorn\n10772\tn03127203\t4349\tcrankcase\n10773\tn04093775\t3282\triot gun\n10774\tn12940939\t5186\twater dropwort, hemlock water dropwort, Oenanthe crocata\n10775\tn12931231\t5186\tfool's parsley, lesser hemlock, Aethusa cynapium\n10776\tn12915140\t5186\tlantana\n10777\tn12767648\t5186\tvarnish tree, lacquer tree, Chinese lacquer tree, Japanese lacquer tree, Japanese varnish tree, Japanese sumac, Toxicodendron vernicifluum, Rhus verniciflua\n10778\tn12767423\t5186\teastern poison oak, Toxicodendron quercifolium, Rhus quercifolia, Rhus toxicodenedron\n10779\tn12767208\t5186\twestern poison oak, Toxicodendron diversilobum, Rhus diversiloba\n10780\tn12677612\t5186\tsnowberry, common snowberry, waxberry, Symphoricarpos alba\n10781\tn11767354\t5186\tdogbane\n10782\tn11733904\t5186\thellebore\n10783\tn11722982\t5186\taconite\n10784\tn03195659\t1066\tdiggings, digs\n10785\tn02875233\t1066\tbore, bore-hole, drill hole\n10786\tn03173142\t1066\tdelf\n10787\tn04572344\t1066\twell\n10788\tn03949442\t1066\tpit, quarry, stone pit\n10789\tn03982060\t1066\tpool\n10790\tn03768346\t1066\tmine\n10791\tn04108137\t1526\troot cellar, cellar\n10792\tn13124164\t5170\tsaprophyte, saprophytic organism\n10793\tn03344305\t3037\tfire bell\n10794\tn02431628\t7231\tsambar, sambur, Cervus unicolor\n10795\tn02313008\t8274\tqueen\n10796\tn04024862\t3652\tpunnet\n10797\tn02917607\t2272\tbullnose, bullnosed plane\n10798\tn02680110\t4434\tadhesive bandage\n10799\tn04239436\t4434\tsling, scarf bandage, triangular bandage\n10800\tn04564278\t3167\twattmeter\n10801\tn03751757\t2625\tmetal detector\n10802\tn03232543\t2576\tdrain basket\n10803\tn03943266\t1279\tpinnacle\n10804\tn04487724\t4087\ttroop carrier, troop transport\n10805\tn12315598\t5850\twinter hazel, flowering hazel\n10806\tn11680596\t9289\tpollen tube\n10807\tn13090871\t9289\taril\n10808\tn04610503\t1523\tyard\n10809\tn07665438\t597\tveal parmesan, veal parmigiana\n10810\tn07568818\t287\troughage, fiber\n10811\tn07844604\t287\tmilk\n10812\tn07567039\t287\tbreadstuff\n10813\tn07572858\t287\tfrozen food, frozen foods\n10814\tn03536761\t2616\thorn\n10815\tn04224395\t2616\tsiren\n10816\tn03253279\t2018\tduckpin\n10817\tn03829954\t2949\tnoria\n10818\tn07575510\t602\ttea, afternoon tea, teatime\n10819\tn03232676\t5136\tdrainboard, draining board\n10820\tn04214154\t5136\tsideboard\n10821\tn03025513\t5136\tchopping board, cutting board\n10822\tn04363559\t5136\tsurfboard\n10823\tn02893800\t5136\tbreadboard, bread board\n10824\tn03623073\t5136\tkneeler\n10825\tn02916538\t5136\tbulletin board, notice board\n10826\tn03787164\t5136\tmortarboard, hawk\n10827\tn03366630\t5136\tfloorboard, floor board\n10828\tn03586090\t5136\tironing board\n10829\tn03231024\t5136\tdrafting board, drawing board\n10830\tn08547468\t901\tcow pasture\n10831\tn04292572\t3464\tsquawk box, squawker, intercom speaker\n10832\tn03586219\t3362\tiron lung\n10833\tn04056413\t2579\trattrap\n10834\tn04142434\t2267\tscalpel\n10835\tn04559166\t1833\twater cooler\n10836\tn04520962\t1833\tvaporizer, vaporiser\n10837\tn04435870\t1833\ttilter\n10838\tn04349913\t1833\tsuction cup\n10839\tn04313867\t1833\tstemmer\n10840\tn04261767\t1833\tsounder\n10841\tn04202282\t1833\tshooting stick\n10842\tn03887330\t1833\tpaper feed\n10843\tn03617834\t1833\tKinetoscope\n10844\tn03461988\t1833\tgroover\n10845\tn03423099\t1833\tgas fixture\n10846\tn03402785\t1833\tfumigator\n10847\tn03177708\t1833\tdepressor\n10848\tn03172038\t1833\tdeflector\n10849\tn03161450\t1833\tdamper, muffler\n10850\tn03096593\t1833\tcontraceptive, preventive, preventative, contraceptive device, prophylactic device, birth control device\n10851\tn02762169\t1833\tautopilot, automatic pilot, robot pilot\n10852\tn02748183\t1833\taspergill, aspersorium\n10853\tn02684356\t1833\tagglomerator\n10854\tn04452757\t1402\ttoolshed, toolhouse\n10855\tn03235327\t2267\tdrawknife, drawshave\n10856\tn04208760\t4140\tshowboat\n10857\tn02757810\t3548\taudiotape\n10858\tn04434207\t1725\ttie rack\n10859\tn04566756\t2912\tweathercock\n10860\tn07802863\t296\tgroats\n10861\tn03507458\t4459\thearthrug\n10862\tn02846733\t1896\tblack box\n10863\tn04049585\t3217\train gauge, rain gage, pluviometer, udometer\n10864\tn04579230\t4379\twhispering gallery, whispering dome\n10865\tn03556679\t2268\tice ax, ice axe, piolet\n10866\tn03458271\t1882\tgrenade\n10867\tn04281260\t3668\tspittoon, cuspidor\n10868\tn02919148\t2896\tbumper guard\n10869\tn07801342\t291\tsilage, ensilage\n10870\tn03027108\t3167\tchronoscope\n10871\tn03441345\t1569\tglove compartment\n10872\tn05245192\t4664\tfreckle, lentigo\n10873\tn07828642\t317\tvanilla bean\n10874\tn07767002\t33\tmedlar\n10875\tn03539546\t1903\thorseshoe\n10876\tn04043411\t1905\tradio-phonograph, radio-gramophone\n10877\tn02757337\t3167\taudiometer, sonometer\n10878\tn03978421\t1556\tpolling booth\n10879\tn01942869\t8215\tabalone, ear-shell\n10880\tn02982232\t1833\tcatapult, launcher\n10881\tn03590588\t1050\tjack-in-the-box\n10882\tn04046590\t2163\trail\n10883\tn04273285\t3174\tspeculum\n10884\tn07735404\t123\tparsnip\n10885\tn07827750\t317\tpoppy seed\n10886\tn02767038\t1849\tbaby powder\n10887\tn03558739\t4014\ticetray\n10888\tn03625539\t2766\tknitting machine\n10889\tn02971691\t1883\tcartridge\n10890\tn04236935\t3037\tsleigh bell, cascabel\n10891\tn04255899\t1377\tsod house, soddy, adobe house\n10892\tn07821919\t317\tturmeric\n10893\tn07610620\t791\tbaked Alaska\n10894\tn02988156\t2566\tCD drive\n10895\tn03939844\t2624\tpilot light, pilot lamp, indicator lamp\n10896\tn02871963\t3280\tboomerang, throwing stick, throw stick\n10897\tn04534127\t3535\tvideo recording, video\n10898\tn07608098\t608\tmarshmallow\n10899\tn01896844\t9389\teiderdown\n10900\tn03375329\t3572\tfoglamp\n10901\tn02747672\t3668\tash-pan\n10902\tn03195332\t3932\tdigester\n10903\tn03555564\t2167\thypodermic needle\n10904\tn04489695\t5062\ttrousseau\n10905\tn03063199\t2576\tcoffee filter\n10906\tn03764822\t3805\tmilk float\n10907\tn02700258\t3167\taltimeter\n10908\tn03392741\t2572\tfranking machine\n10909\tn03819448\t1833\tnest egg\n10910\tn02961544\t1882\tcar bomb\n10911\tn03134853\t1897\tcroquet equipment\n10912\tn07802963\t296\tmillet\n10913\tn04140631\t1700\tsawhorse, horse, sawbuck, buck\n10914\tn03989665\t2231\tposthole digger, post-hole digger\n10915\tn07575392\t850\thigh tea\n10916\tn03668067\t2573\tlightning rod, lightning conductor\n10917\tn07766891\t33\tmedlar\n10918\tn03934311\t3487\tpier glass, pier mirror\n10919\tn12383894\t5820\tgranadilla, sweet granadilla, Passiflora ligularis\n10920\tn04216860\t2890\tsifter\n10921\tn01916388\t8263\tsea feather\n10922\tn04457767\t2564\ttorque converter\n10923\tn03327553\t4400\tfencing mask, fencer's mask\n10924\tn03857687\t1896\toscillograph\n10925\tn03801353\t2569\tmusic box, musical box\n10926\tn10146416\t8914\tGreen Beret\n10927\tn04135710\t4428\tcling film, clingfilm, Saran Wrap\n10928\tn02983357\t1053\tcatchment\n10929\tn02742753\t3280\tarrow\n10930\tn03429137\t3303\tGatling gun\n10931\tn03156767\t3390\tcylinder lock\n10932\tn07815588\t317\tpepper, peppercorn\n10933\tn03603594\t4129\tjunk\n10934\tn02710044\t2590\tandiron, firedog, dog, dog-iron\n10935\tn03175457\t3167\tdensitometer\n10936\tn04294614\t2163\tstabilizer bar, anti-sway bar\n10937\tn03509394\t2634\theat lamp, infrared lamp\n10938\tn03449309\t2265\tgouge\n10939\tn03693860\t2451\tlowboy\n10940\tn04449290\t1556\ttollbooth, tolbooth, tollhouse\n10941\tn04092959\t1146\tring\n10942\tn06806469\t2563\tsymbol\n10943\tn08570758\t890\tplaying field, athletic field, playing area, field\n10944\tn12147226\t5665\tbamboo\n10945\tn02693860\t4699\taisle, gangway\n10946\tn14769465\t1047\tasphalt\n10947\tn03361945\t4729\tflatware\n10948\tn11537506\t5176\tmoss\n10949\tn07776866\t21\tseafood\n10950\tn07776545\t10949\tfreshwater fish\n10951\tn07775905\t10949\tsaltwater fish\n10952\tn03244388\t4679\tdriveway, drive, private road\n10953\tn05297523\t4\torgan\n10954\tn05225090\t4\texternal body part\n10955\tn05299178\t10953\tsense organ, sensory receptor, receptor\n10956\tn05598147\t10955\tnose, olfactory organ\n10957\tn05311054\t10955\teye, oculus, optic\n10958\tn05320899\t10955\tear\n10959\tn05559908\t10954\textremity, appendage, member\n10960\tn05566919\t10954\textremity\n10961\tn05560244\t10959\tlimb\n10962\tn05563034\t10960\tvertebrate foot, pedal extremity\n10963\tn05546540\t10954\tneck, cervix\n10964\tn05600637\t10954\tface, human face\n10965\tn05601758\t4\tfeature, lineament\n10966\tn05602835\t10965\tcheek\n10967\tn05602548\t10965\tbrow, forehead\n10968\tn14915622\t20\tfrost, hoar, hoarfrost, rime\n10969\tn09463226\t942\ttundra\n10970\tn09475292\t5\twaterfall, falls\n10971\tn09241247\t5\tchannel\n10972\tn09215664\t5\tbay, embayment\n10973\tn09426788\t5\tsea\n10974\tn09328904\t5\tlake\n10975\tn09476331\t5\twaterway\n10976\tn09448361\t5\tstream, watercourse\n10977\tn09313716\t5\tinlet, recess\n10978\tn09397391\t10974\tpond, pool\n10979\tn09341874\t10974\tloch\n10980\tn09328746\t10974\tlagoon, laguna, lagune\n10981\tn09217086\t10974\tbayou\n10982\tn09454642\t10974\ttarn\n10983\tn04078747\t10974\treservoir, artificial lake, man-made lake\n10984\tn09405396\t10975\trapid\n10985\tn09229409\t10976\tbrook, creek\n10986\tn09411430\t10976\triver\n10987\tn09281104\t10977\tfjord, fiord\n10988\tn09257761\t10977\tcove\n10989\tn08651832\t914\tslum, slum area\n10990\tn09212572\t858\tbadlands\n10991\tn09477890\t858\twetland\n10992\tn09225943\t10991\tbog, peat bog\n10993\tn09347779\t10991\tmarsh, marshland, fen, fenland\n10994\tn11530512\t5173\tcrop\n10995\tn11674914\t9307\tbud\n10996\tn09842629\t8735\tbassist\n10997\tn10430665\t8735\tpianist, piano player\n10998\tn10754578\t8735\tviolinist, fiddler\n10999\tn04351550\t1679\tsuite, rooms\n11000\tn14956325\t279\tmud, clay\n11001\tn04092609\t4666\tring, band\n11002\tn08553535\t885\tresidential district, residential area, community\n11003\tn03908831\t4650\tpendant, pendent\n11004\tn10136959\t8666\tgolfer, golf player, linksman\n11005\tn10759047\t8666\tvolleyball player\n11006\tn11715810\t5513\tlotus, white lotus, Egyptian water lily, white lily, Nymphaea lotus\n11007\tn11717399\t5513\tlotus, Indian lotus, sacred lotus, Nelumbo nucifera\n11008\tn07628870\t25\tcake\n11009\tn07631023\t11008\tcupcake\n11010\tn07629988\t11008\tbirthday cake\n11011\tn07633511\t11008\ttorte\n11012\tn07632802\t11008\twedding cake, bridecake\n11013\tn07635155\t11008\tcookie, cooky, biscuit\n11014\tn07630294\t11008\tchocolate cake\n11015\tn03609786\t4140\tkeelboat\n11016\tn03118245\t1144\tcountertop\n11017\tn08591592\t898\tlawn\n11018\tn08619524\t892\tprairie\n11019\tn03295773\t9897\tescalator, moving staircase, moving stairway\n11020\tn07593549\t21\tconvenience food\n11021\tn07649854\t21\tmeat\n11022\tn07702509\t21\tjunk food\n11023\tn07601999\t21\tchocolate\n11024\tn07653394\t11021\tcut, cut of meat\n11025\tn03783873\t4107\tmonoplane\n11026\tn08645847\t892\tsavanna, savannah\n11027\tn08570634\t892\thayfield, meadow\n11028\tn14755804\t274\tanimal material\n11029\tn14991712\t274\tplant material, plant substance\n11030\tn14856263\t274\twaste, waste material, waste matter, waste product\n11031\tn14842992\t274\tearth, ground\n11032\tn14662574\t274\tmineral\n11033\tn14806838\t274\tchemical, chemical substance\n11034\tn14757848\t11028\tbone, osseous tissue\n11035\tn14758027\t11028\thorn\n11036\tn14857497\t11030\trubbish, trash, scrap\n11037\tn09358907\t11031\tmoraine\n11038\tn14857897\t11036\tdebris, dust, junk, rubble, detritus\n11039\tn03304730\t11033\texplosive\n11040\tn14853392\t11039\tlow explosive\n11041\tn03348454\t11040\tfirework, pyrotechnic\n11042\tn15098161\t11029\twood\n11043\tn15100112\t11042\thardwood\n11044\tn02732433\t4698\taqueduct\n11045\tn03809312\t4112\tnarrowbody aircraft, narrow-body aircraft, narrow-body\n11046\tn12456845\t6379\tday lily, daylily\n11047\tn09227839\t9290\tboulder, bowlder\n11048\tn09218044\t9290\tbedrock\n11049\tn09388023\t9290\tpebble\n11050\tn09443753\t9290\tstalactite\n11051\tn02947212\t10096\tcanal\n11052\tn03769722\t3800\tminibike, motorbike\n11053\tn03901074\t4616\tpaving stone\n11054\tn08554440\t11002\tsuburb, suburbia, suburban area\n11055\tn10683349\t8667\tswimmer\n11056\tn03874965\t1418\tpagoda\n11057\tn13163250\t9305\tbranch\n11058\tn11462526\t3\tstorm, violent storm\n11059\tn11427241\t3\taurora\n11060\tn11517898\t3\tafterglow\n11061\tn11446242\t3\tcondensation, condensate\n11062\tn11519253\t11058\tthunderstorm, electrical storm, electric storm\n11063\tn11509570\t11058\tblizzard, snowstorm\n11064\tn14834132\t11061\tdew\n11065\tn04179385\t1078\tsewing, stitchery\n11066\tn03132879\t1078\tcrochet, crocheting\n11067\tn11494638\t9413\tprecipitation, downfall\n11068\tn04473432\t1065\ttransportation system, transportation, transit\n11069\tn03177349\t1065\tdepository, deposit, depositary, repository\n11070\tn03119790\t1065\tcourse\n11071\tn04053218\t1065\trange\n11072\tn04018951\t11068\tpublic transit\n11073\tn03800563\t11069\tmuseum\n11074\tn03446528\t11070\tgolf course, links course\n11075\tn03997745\t11071\tpractice range\n11076\tn03349150\t11075\tfiring range, target range\n11077\tn14881303\t15\tglass\n11078\tn14883206\t15\tcrystal\n11079\tn14699752\t11078\tgem, gemstone, stone\n11080\tn03206282\t10167\tdisco, discotheque\n11081\tn03777283\t1076\tmodel, simulation\n11082\tn03931044\t1076\tpicture, image, icon, ikon\n11083\tn03234306\t1076\tdrawing\n11084\tn03335600\t11081\tfigure\n11085\tn03954199\t11083\tplan, architectural plan\n11086\tn03336459\t11084\tfigurine, statuette\n11087\tn04251983\t11084\tsnowman\n11088\tn14768854\t282\tart paper\n11089\tn14961722\t282\tnewspaper, newsprint\n11090\tn00006269\t1042\tlife\n11091\tn07993776\t11090\twildlife\n11092\tn05314919\t9398\teyelash, lash, cilium\n11093\tn05256085\t9398\tmane, head of hair\n11094\tn05313535\t9398\teyebrow, brow, supercilium\n11095\tn02901620\t4133\tbrigantine, hermaphrodite brig\n11096\tn03411339\t4133\tgalleon\n11097\tn02901377\t4133\tbrig\n11098\tn02733378\t4699\tarcade\n11099\tn03112099\t4699\tcorridor\n11100\tn03479952\t11099\thallway, hall\n11101\tn04412901\t4757\tterminal, terminus, depot\n11102\tn03996655\t4757\tpower station, power plant, powerhouse\n11103\tn04049098\t11101\trailway station, railroad station, railroad terminal, train station, train depot\n11104\tn04586761\t11102\twind farm, wind park, wind energy facility\n11105\tn03640660\t4678\tlane\n11106\tn04544979\t4678\twalk, walkway, paseo\n11107\tn02858179\t11106\tboardwalk\n11108\tn03900194\t4097\tpatrol boat, patrol ship\n11109\tn03351262\t4097\tfishing boat, fishing smack, fishing vessel\n11110\tn09411189\t9969\triparian forest\n11111\tn09316454\t860\tisland\n11112\tn09233715\t860\tcape, ness\n11113\tn09203827\t860\tarchipelago\n11114\tn02846399\t1084\tblack and white, monochrome\n11115\tn04203889\t1067\tshopping\n11116\tn03748886\t1067\tmerchandise, ware, product\n11117\tn08674563\t890\tterrain\n11118\tn08615149\t890\tpark, parkland\n11119\tn02780916\t10943\tball field, baseball field, diamond\n11120\tn08674970\t890\tlot\n11121\tn08615638\t11120\tparking lot, car park, park, parking area\n11122\tn09261960\t9415\tcumulus, cumulus cloud\n11123\tn06873571\t2563\tvisual signal\n11124\tn06874019\t11123\tlight\n11125\tn06795746\t10942\ttoken, item\n11126\tn08578706\t873\tgeographic point, geographical point\n11127\tn08621598\t873\tposition, place\n11128\tn08633957\t11126\tport\n11129\tn08624891\t11127\tlandmark\n11130\tn04034367\t1057\tquilting\n11131\tn08614229\t898\tpaddy, paddy field, rice paddy\n11132\tn02801184\t1417\tbasilica\n11133\tn09281914\t942\tfloodplain, flood plain\n11134\tn02697759\t4694\talley, alleyway, back street\n11135\tn03474352\t1377\thacienda\n11136\tn02677136\t4472\tacrylic, acrylic paint\n11137\tn04478657\t4762\ttrench\n11138\tn04680285\t4649\tmarking\n11139\tn04681387\t11138\tcrisscross, cross, mark\n11140\tn09387222\t872\tpath, track, course\n11141\tn09460312\t11140\ttrail\n11142\tn07874531\t597\tpoi\n11143\tn08567235\t884\tenvironment, environs, surroundings, surround\n11144\tn09239740\t1043\tcelestial body, heavenly body\n11145\tn09394646\t11144\tplanet\n11146\tn03142431\t1640\tcrypt\n11147\tn03900509\t1142\tpaved surface\n11148\tn04536038\t933\tvineyard, vinery\n11149\tn01317391\t8198\tpack animal, sumpter\n11150\tn09300306\t977\tgully\n11151\tn07621776\t4647\ttopping\n11152\tn04223580\t5150\tsink\n11153\tn07698915\t21\tpasta, alimentary paste\n11154\tn07699584\t11153\tnoodle\n11155\tn12416423\t6377\tcrocus\n11156\tn02772197\t909\tbackyard\n11157\tn13165815\t9305\ttrunk, tree trunk, bole\n11158\tn04380617\t4766\ttable linen, napery\n11159\tn05581514\t8\thorny structure, unguis\n11160\tn10426749\t8804\tphotographer, lensman\n11161\tn14622893\t16\tchemical element, element\n11162\tn14625458\t11161\tmetallic element, metal\n11163\tn06589574\t1103\tpublication\n11164\tn10147710\t8629\tgrocer\n11165\tn06793426\t2643\tposter, posting, placard, notice, bill, card\n"
  },
  {
    "path": "src/ingest/enrichment/socratic/requirements.txt",
    "content": "transformers\nftfy\nregex\ntqdm\ngit+https://github.com/openai/CLIP.git\ntorch\nwget\n"
  },
  {
    "path": "src/ingest/enrichment/socratic/socratic.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nimport torch\nimport clip\nimport csv\nimport wget\n\nurl_dict = {'clip_ViTL14_openimage_classifier_weights.pt': 'https://raw.githubusercontent.com/geonm/socratic-models-demo/master/prompts/clip_ViTL14_openimage_classifier_weights.pt',\n            'clip_ViTL14_place365_classifier_weights.pt': 'https://raw.githubusercontent.com/geonm/socratic-models-demo/master/prompts/clip_ViTL14_place365_classifier_weights.pt',\n            'clip_ViTL14_tencentml_classifier_weights.pt': 'https://raw.githubusercontent.com/geonm/socratic-models-demo/master/prompts/clip_ViTL14_tencentml_classifier_weights.pt'}\n\ncheckpoint_path = os.path.join(os.environ[\"APP_DATA_DIR\"],\"prompts\")\nprint(\"Path for storing Socratic Model is \", checkpoint_path)\nos.makedirs(checkpoint_path, exist_ok=True)\n\nsrc_path = os.path.dirname(os.path.abspath(__file__))\nprompt_path = os.path.join(src_path, 'prompts')\n\nfor k, v in url_dict.items():\n    file_path = os.path.join(checkpoint_path, k)\n    if not os.path.exists(file_path):\n        wget.download(v, out=checkpoint_path)\n\nos.environ['CUDA_VISIBLE_DEVICES'] = ''\n\ndef load_openimage_classnames(csv_path):\n    csv_data = open(csv_path)\n    csv_reader = csv.reader(csv_data)\n    classnames = {idx: row[-1] for idx, row in enumerate(csv_reader)}\n    return classnames\n\n\ndef load_tencentml_classnames(txt_path):\n    txt_data = open(txt_path)\n    lines = txt_data.readlines()\n    classnames = {idx: line.strip() for idx, line in enumerate(lines)}\n    return classnames\n\n\ndef build_simple_classifier(clip_model, text_list, template, device):\n    with torch.no_grad():\n        texts = [template(text) for text in text_list]\n        text_inputs = clip.tokenize(texts).to(device)\n        text_features = clip_model.encode_text(text_inputs)\n        text_features /= text_features.norm(dim=-1, keepdim=True)\n\n    return text_features, {idx: text for idx, text in enumerate(text_list)}\n\n\ndef load_models():\n    # build model and tokenizer\n    model_dict = {}\n\n    device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n    print('\\tLoading CLIP ViT-L/14')\n    clip_model, clip_preprocess = clip.load(\"ViT-L/14\", device=device)\n    print('\\tLoading precomputed zeroshot classifier')\n    openimage_classifier_weights = torch.load(checkpoint_path + '/clip_ViTL14_openimage_classifier_weights.pt', map_location=device).type(torch.FloatTensor)\n    openimage_classnames = load_openimage_classnames(prompt_path + '/openimage-classnames.csv')\n    tencentml_classifier_weights = torch.load(checkpoint_path + '/clip_ViTL14_tencentml_classifier_weights.pt', map_location=device).type(torch.FloatTensor)\n    tencentml_classnames = load_tencentml_classnames(prompt_path + '/tencent-ml-classnames.txt')\n    place365_classifier_weights = torch.load(checkpoint_path + '/clip_ViTL14_place365_classifier_weights.pt', map_location=device).type(torch.FloatTensor)\n    place365_classnames = load_tencentml_classnames(prompt_path + '/place365-classnames.txt')\n\n    print('\\tBuilding simple zeroshot classifier')\n    img_types = ['photo', 'cartoon', 'sketch', 'painting']\n    ppl_texts = ['no people', 'people']\n    ifppl_texts = ['is one person', 'are two people', 'are three people', 'are several people', 'are many people']\n    imgtype_classifier_weights, imgtype_classnames = build_simple_classifier(clip_model, img_types, lambda c: f'This is a {c}.', device)\n    ppl_classifier_weights, ppl_classnames = build_simple_classifier(clip_model, ppl_texts, lambda c: f'There are {c} in this photo.', device)\n    ifppl_classifier_weights, ifppl_classnames = build_simple_classifier(clip_model, ifppl_texts, lambda c: f'There {c} in this photo.', device)\n\n    tags = 'food,plant,animal,person,vehicle,building,scenery,document,commodity products,other objects'.split(',')\n    simple_tag_weights, simple_tag_classnames = build_simple_classifier(clip_model, tags, lambda c: f'This is a photo of {c}.', device)\n\n\n    model_dict['clip_model'] = clip_model\n    model_dict['clip_preprocess'] = clip_preprocess\n    model_dict['openimage_classifier_weights'] = openimage_classifier_weights\n    model_dict['openimage_classnames'] = openimage_classnames\n    model_dict['tencentml_classifier_weights'] = tencentml_classifier_weights\n    model_dict['tencentml_classnames'] = tencentml_classnames\n    model_dict['place365_classifier_weights'] = place365_classifier_weights\n    model_dict['place365_classnames'] = place365_classnames\n    model_dict['imgtype_classifier_weights'] = imgtype_classifier_weights\n    model_dict['imgtype_classnames'] = imgtype_classnames\n    model_dict['ppl_classifier_weights'] = ppl_classifier_weights\n    model_dict['ppl_classnames'] = ppl_classnames\n    model_dict['ifppl_classifier_weights'] = ifppl_classifier_weights\n    model_dict['ifppl_classnames'] = ifppl_classnames\n    model_dict['simple_tag_weights'] = simple_tag_weights\n    model_dict['simple_tag_classnames'] = simple_tag_classnames\n    model_dict['device'] = device\n\n    return model_dict\n\n\ndef drop_gpu(tensor):\n    if torch.cuda.is_available():\n        return tensor.cpu().numpy()\n    else:\n        return tensor.numpy()\n\n\ndef zeroshot_classifier(image):\n    image_input = model_dict['clip_preprocess'](image).unsqueeze(0).to(model_dict['device'])\n    with torch.no_grad():\n        image_features = model_dict['clip_model'].encode_image(image_input)\n        image_features /= image_features.norm(dim=-1, keepdim=True)\n\n        sim = (100.0 * image_features @ model_dict['openimage_classifier_weights'].T).softmax(dim=-1)\n        openimage_scores, indices = [drop_gpu(tensor) for tensor in sim[0].topk(10)]\n        openimage_classes = [model_dict['openimage_classnames'][idx] for idx in indices]\n\n        sim = (100.0 * image_features @ model_dict['tencentml_classifier_weights'].T).softmax(dim=-1)\n        tencentml_scores, indices = [drop_gpu(tensor) for tensor in sim[0].topk(10)]\n        tencentml_classes = [model_dict['tencentml_classnames'][idx] for idx in indices]\n\n        sim = (100.0 * image_features @ model_dict['place365_classifier_weights'].T).softmax(dim=-1)\n        place365_scores, indices = [drop_gpu(tensor) for tensor in sim[0].topk(10)]\n        place365_classes = [model_dict['place365_classnames'][idx] for idx in indices]\n\n        sim = (100.0 * image_features @ model_dict['imgtype_classifier_weights'].T).softmax(dim=-1)\n        imgtype_scores, indices = [drop_gpu(tensor) for tensor in sim[0].topk(len(model_dict['imgtype_classnames']))]\n        imgtype_classes = [model_dict['imgtype_classnames'][idx] for idx in indices]\n\n        sim = (100.0 * image_features @ model_dict['ppl_classifier_weights'].T).softmax(dim=-1)\n        ppl_scores, indices = [drop_gpu(tensor) for tensor in sim[0].topk(len(model_dict['ppl_classnames']))]\n        ppl_classes = [model_dict['ppl_classnames'][idx] for idx in indices]\n\n        sim = (100.0 * image_features @ model_dict['ifppl_classifier_weights'].T).softmax(dim=-1)\n        ifppl_scores, indices = [drop_gpu(tensor) for tensor in sim[0].topk(len(model_dict['ifppl_classnames']))]\n        ifppl_classes = [model_dict['ifppl_classnames'][idx] for idx in indices]\n\n    return image_features, openimage_scores, openimage_classes, tencentml_scores, tencentml_classes,\\\n           place365_scores, place365_classes, imgtype_scores, imgtype_classes,\\\n           ppl_scores, ppl_classes, ifppl_scores, ifppl_classes\n\n\ndef generate_prompt(openimage_classes, tencentml_classes, place365_classes, imgtype_classes, ppl_classes, ifppl_classes):\n    img_type = imgtype_classes[0]\n    ppl_result = ppl_classes[0]\n    if ppl_result == 'people':\n        ppl_result = ifppl_classes[0]\n    else:\n        ppl_result = 'are %s' % ppl_result\n\n    sorted_places = place365_classes\n\n    object_list = ''\n    for cls in tencentml_classes:\n        object_list += f'{cls}, '\n    for cls in openimage_classes[:2]:\n        object_list += f'{cls}, '\n    object_list = object_list[:-2]\n\n    prompt_caption = f'''I am an intelligent image captioning bot.\n    This image is a {img_type}. There {ppl_result}.\n    I think this photo was taken at a {sorted_places[0]}, {sorted_places[1]}, or {sorted_places[2]}.\n    I think there might be a {object_list} in this {img_type}.\n    A creative short caption I can generate to describe this image is:'''\n\n    return prompt_caption\n\n\ndef sorting_texts(image_features, captions):\n    with torch.no_grad():\n        text_inputs = clip.tokenize(captions).to(model_dict['device'])\n        text_features = model_dict['clip_model'].encode_text(text_inputs)\n        text_features /= text_features.norm(dim=-1, keepdim=True)\n\n        sim = (100.0 * image_features @ text_features.T).softmax(dim=-1)\n        scores, indices = [drop_gpu(tensor) for tensor in sim[0].topk(len(captions))]\n        sorted_captions = [captions[idx] for idx in indices]\n\n    return scores, sorted_captions\n\n\ndef postprocess_results(scores, classes):\n    scores = [float('%.4f' % float(val)) for val in scores]\n    outputs = []\n    for score, cls in zip(scores, classes):\n        outputs.append({'score': score, 'output': cls})\n    return outputs\n\n\nglobal model_dict\nmodel_dict = load_models()\n\nif __name__ == '__main__':\n    pass\n"
  },
  {
    "path": "src/ingest/export/__init__.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\n"
  },
  {
    "path": "src/ingest/export/export_entities.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport json\nfrom typing import List\n\nfrom tqdm import tqdm\n\nfrom src.common.persistence.personal_data_db import PersonalDataDBConnector\nimport pickle\nfrom geopy.location import Location\nfrom src.common.objects.LLEntry_obj import LLEntry\nclass PhotoExporter:\n    def __init__(self):\n        self.db = PersonalDataDBConnector()\n        self.export_list: List[LLEntry] = []\n\n    def get_all_data(self):\n        if len(self.export_list) == 0:\n            self.generate_export_list()\n        return self.export_list\n    def generate_export_list(self):\n        select_cols = \"enriched_data\"\n        where_clause = {\"enriched_data\": \"is not NULL\"}\n        res = self.db.search_personal_data(select_cols, where_clause)\n        count = 0\n        for row in tqdm(res.fetchall()):\n            data: LLEntry = pickle.loads(row[0])\n\n            if data is None:\n                print(\"Row None. Skipping...\")\n                continue\n\n            count += 1\n            self.export_list.append(data.toDict())\n\n    def create_export_entity(self, incremental:bool=True):\n        #Read data, location, caption from photos\n        select_cols = \"id, data, location, captions, embeddings, status\"\n        where_clause = {\"data\": \"is not NULL\"}\n        if incremental:\n            where_clause[\"export_done\"] = \"=0\"\n\n        select_count = \"count(*)\"\n        count_res = self.db.search_personal_data(select_count, where_clause)\n        pending = count_res.fetchone()\n        if pending is None:\n            print(\"No pending exports\")\n            return\n        # print(\"Total exports to be done: \", pending[0])\n        res = self.db.search_personal_data(select_cols, where_clause)\n        count = 0\n        for row in tqdm(res.fetchall()):\n            row_id = int(row[0])\n            data: LLEntry = pickle.loads(row[1])\n            locations:List[Location] = pickle.loads(row[2]) if row[2] is not None else None\n            #print(\"Processing RowID: \",row_id)\n            captions = row[3]\n            embeddings = row[4]\n            status = row[5]\n            if status != 'active':\n                print(\"RowId: \", row_id, \"is an identified duplicate, will be unexported\")\n                self.db.add_or_replace_personal_data({\"enriched_data\": None, \"export_done\": 1, \"id\":row_id}, \"id\")\n                continue\n            #Add Location data\n            data = self.populate_location(data, locations)\n            #Add caption data\n            data = self.populate_captions(data, captions)\n            #TODO: Add embedding data\n\n            # Add Text Description. Last step after all other attributes are populated\n            data = self.populate_text_description(data)\n\n            # Write enriched_data, set enrichment_done to 1\n            #print(\"Writing enriched data:: \", data.toJson())\n            self.db.add_or_replace_personal_data({\"enriched_data\": data, \"export_done\": 1, \"id\": row_id}, \"id\")\n            count += 1\n        print(\"Export entities generated for \", count, \" entries\")\n    def populate_location(self, data:LLEntry, locations:Location) -> LLEntry:\n        if locations is not None:\n            data.locations = locations\n            # data.startLocation = str(location)\n            # if \"country\" in location.raw[\"address\"]:\n            #     data.startCountry = location.raw[\"address\"][\"country\"]\n            # if \"city\" in location.raw[\"address\"]:\n            #     data.startCity = location.raw[\"address\"][\"city\"]\n            # if \"state\" in location.raw[\"address\"]:\n            #     data.startState = location.raw[\"address\"][\"state\"]\n        return data\n\n    def populate_captions(self, data:LLEntry, captions: list) -> LLEntry:\n        if captions is not None:\n            #TODO: Add captions\n            data.imageCaptions = captions\n            return data\n        return data\n\n    def populate_text_description(self, data:LLEntry) -> LLEntry:\n        if data.textDescription is not None:\n            # if textDescription is prepopulated, replace $location placeholder\n            if len(data.locations) > 0:\n                data.textDescription = data.textDescription.replace(\"$location\", str(data.locations[0]))\n        else:\n            textDescription = data.startTimeOfDay + \": \" + str(data.locations[0])\n            textDescription += \" with \" if len(data.peopleInImage)>0 else \"\"\n            #TODO:Assumes that peopleInImage List has dict with \"name\" key\n            for j in data.peopleInImage:\n                textDescription += \"\\n \" + j[\"name\"]\n\n            for j in data.imageCaptions:\n                textDescription += \", \" + j\n            data.textDescription = textDescription\n        return data"
  },
  {
    "path": "src/ingest/importers/__init__.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\n"
  },
  {
    "path": "src/ingest/importers/create_amazon_LLEntries.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nfrom pathlib import Path\nfrom src.common.objects.LLEntry_obj import LLEntry\nfrom src.common.util import *\nimport pandas as pd\n\n#This is the csv file with the purchases from Amazon (note, digital purchases are separate). \namazon_purchases_file = \"~/Downloads/PIMData/Amazon/Retail.OrderHistory.1.csv\"\n\n# This is the csv file with kind purchases should be (when downloaded it's in Digital-Ordering.1/Digital Items.csv\nkindle_purchases_file = \"~/Downloads/PIMData/Kindle/Digital Items.csv\"\n\n\nOUTPUT_FILE = \"amazon_purchases.json\"\nOUTPUT_DIRECTORY = Path() / \"../data\"\n# This is where the intermediate json files sit\n\nSOURCE = \"Amazon\"\n\nDEFAULT_TOD_FOR_PURCHASES = \" 11:00:00\"\nexclude_list = [\"Kindle Unlimited\",\"Audible Premium Plus\", \"Prime Membership Fee\"]\n\n\ndef purchaseExtract(product, price, date, quantity):\n    wtype = \"base:purchase\"\n    print(date)\n    print(\"amazon\")\n    experienced_startTime = slash_to_dash(str(date)[0:10]) + str(date)[10:19]    \n    obj = LLEntry(wtype, experienced_startTime, SOURCE)\n    obj.startTimeOfDay = str(date)[11:19]\n    textDescription = \"Bought \" + product + \" for price of \" + price + \" USD \"\n    if quantity > 1:\n        textDescription = textDescription + \"(quantity: \" + str(quantity) + \")\"\n    obj.textDescription = textDescription\n    return obj\n\n\n\ndef digitalPurchaseExtract(title, price, currency, date):\n    wtype = \"base:purchase\"\n    print(date)\n    print(\"kindle\")\n    experienced_startTime = str(date) + DEFAULT_TOD_FOR_PURCHASES\n    obj = LLEntry(wtype, experienced_startTime, SOURCE)\n    obj.startTimeOfDay = DEFAULT_TOD_FOR_PURCHASES\n    textDescription = \"Bought \" + title + \" for price of \" + str(price) + \" \" + str(currency)\n    obj.textDescription = textDescription\n    return obj\n\ndef slash_to_dash(date):\n    print(date)\n    answer = date[6:10] + \"-\" + date[0:2] + \"-\" + date[3:5]\n    print (\"answer is \", answer)\n    return answer\n\ndef MDYY_to_dash(date):\n    print (\"input date is \", date)\n    if len(date) == 10:\n        return date\n    print(date)\n    mdy = date.split(\"/\")\n    y = mdy[2]\n    if len(y) == 2:\n        y = \"20\" + y\n    m = mdy[1]\n    if len(m) < 2:\n        m = \"0\" + m\n    d = mdy[0]\n    if len(d) < 2:\n        d = \"0\" + d\n    answer = y + \"-\" + m + \"-\" + d\n    #print(mdy)\n    return answer\n    \noutput_json = '{ \"solrobjects\": [ '  \noutput_path = OUTPUT_DIRECTORY / OUTPUT_FILE\n\nif os.path.exists(Path(amazon_purchases_file)):\n    print(\"found file\")\nelse:\n    print(\"didn't file the file\")\n\n    \nprint(\"input amazon path is \" + amazon_purchases_file)\nprint(\"input kindle path is \" + kindle_purchases_file)\nprint(\"output path is \" + str(output_path))\n\ncount = 0\ntry:\n    df = pd.read_csv(amazon_purchases_file)\nexcept IOError:\n    print('Could not find Amazon purchases CSV file.')\nelse:\n    \n    for index, row in df.iterrows():\n        if row[\"Product Name\"] not in exclude_list:\n            count = count + 1\n            if count < 10: \n                print (row[\"Product Name\"], str(row[\"Unit Price\"]), str(row[\"Order Date\"]), str(row[\"Quantity\"]))\n            if count > 1:\n                output_json = output_json + \" , \"\n                \n            output_json = output_json + purchaseExtract(row[\"Product Name\"], str(row[\"Unit Price\"]), str(row[\"Order Date\"]), row[\"Quantity\"]).toJson()\n   \n    print (\"Number of Amazon records is: \")\n    print (count )\n\nintermediate_count = count    \ntry:\n    df = pd.read_csv(kindle_purchases_file)\nexcept IOError:\n    print('Could not find Kindle purchases CSV file.')\nelse:\n\n    for index, row in df.iterrows():\n        if row[\"Title\"] not in exclude_list:\n            count = count + 1\n            if count < intermediate_count + 10: \n                print (row[\"Title\"], row[\"OurPrice\"], row[\"OurPriceCurrencyCode\"],  MDYY_to_dash(str(row[\"OrderDate\"])))\n            if count > 1:\n                output_json = output_json + \" , \"\n            output_json = output_json + digitalPurchaseExtract(row[\"Title\"], row[\"OurPrice\"], row[\"OurPriceCurrencyCode\"], MDYY_to_dash(str(row[\"OrderDate\"]))).toJson()\n   \n    print (\"Number of Kindle records is: \")\n    print (count - intermediate_count )\n    output_json = output_json + \" ] } \"\n    with open(output_path, 'w') as outfile:\n        outfile.write(output_json)\n\n            \n\n    \n\n     \n"
  },
  {
    "path": "src/ingest/importers/create_apple_health_LLEntries.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nfrom tqdm import tqdm\n\nfrom src.ingest.importers.generic_importer import GenericImporter\nfrom src.common.objects.EntryTypes import EntryType\nfrom src.common.objects.LLEntry_obj import LLEntry\nimport xml.etree.ElementTree as ET\n\nfrom src.common.objects.import_configs import SourceConfigs\nfrom src.common.util import *\n\nAPPLE_INPUT_DATA_FILE = \"iwatch.xml\"\nOUTPUT_FILE = \"applehealth_data.json\"\nSOURCE = \"AppleHealth\"\nTYPE = \"base/\"\nORIGIN_TIMEZONE = \"America/Los_Angeles\"\n\n\nclass AppleHealthImporter(GenericImporter):\n    def __init__(self, source_id:int, source_name: str, entry_type: EntryType, configs:SourceConfigs):\n        # print(\"AppleHealthImporter\")\n        self.current_timezone = \"America/Los_Angeles\"\n        self.activityTranslation = {\"HKWorkoutActivityTypeRunning\": \"running\",\n                               'HKWorkoutActivityTypeElliptical': \"elliptical\",\n                               'HKWorkoutActivityTypeWalking': \"walking\",\n                               'HKWorkoutActivityTypeYoga': \"yoga\",\n                               'HKWorkoutActivityTypeFunctionalStrengthTraining': \"weight lifting\",\n                               'HKWorkoutActivityTypeRowing': \"rowing\"}\n        super().__init__(source_id, source_name, entry_type, configs)\n\n    def import_data(self, field_mappings):\n        dir_path = str(Path(self.configs.input_directory).absolute())\n        print(\"Reading\", dir_path)\n        entries = self.get_type_files_deep(dir_path,\n                                           self.configs.filename_regex,\n                                           self.configs.filetype.split(\",\"))\n        print(f\"Entries: {entries}\")\n        if entries is None or len(entries) == 0:\n            print(\"NotFound: Data expected in \", self.configs.input_directory, \" while importing for \",\n                  self.source_name)\n            if self.configs.filename_regex is not None:\n                print(\"File pattern searched for:\", self.configs.filename_regex, \"extn:\", self.configs.filetype)\n            return\n\n        count = 0\n        tag = \"Workout\"\n        for entry in tqdm(entries):\n            print(f\"Reading entry File: {entry}\\n\")\n            self.remove_lines_between(entry)\n            for child in self.parse_large_xml_file(entry + '.clean'):\n                obj = self.create_LLEntry(child, tag)\n                if obj is not None:\n                    # Write Obj to personal-data\n                    data_entry = self.build_db_entry(obj)\n                    self.pdc.add_or_replace_personal_data(data_entry, \"dedup_key\")\n                    # print(f\"Written to DB. DedupKey: {data_entry['dedup_key']}\")\n                    count += 1\n            print(\"Count:\", count)\n\n    def remove_lines_between(self, xml_file_path):\n        \"\"\"Clean up the input file by removing lines possibly with syntax error.\n        \"\"\"\n        start_line = '<?xml version=\"1.0\" encoding=\"UTF-8\"?>'\n        end_line = '<HealthData locale=\"en_US\">'\n\n        out_path = xml_file_path + '.clean'\n        fout = open(out_path, 'w')\n        fout.write(start_line + '\\n')\n        start = False\n        with open(xml_file_path, 'r') as f_in:\n            for line in f_in:\n                if line.strip() == end_line:\n                    start = True\n                if start:\n                    fout.write(line)\n        fout.close()\n\n\n    def parse_large_xml_file(self, xml_file_path):\n        \"\"\"\n        Parses a large XML file in a memory-efficient manner using ElementTree.\n        \"\"\"\n        context = ET.iterparse(xml_file_path, events=(\"start\", \"end\"))\n        element_stack = []\n        for event, child in context:\n            if event == 'start':\n                element_stack.append(child)\n            if event == \"end\":\n                element_stack.pop()\n                yield child\n                if element_stack:\n                    element_stack[-1].remove(child)\n\n    def create_LLEntry(self, child, tag):\n        type_count = {}\n        details = { \"indoor\": False}\n        if child.tag == tag:\n            text_description = \"\"\n            if \"workoutActivityType\" in child.attrib:\n                if child.attrib[\"workoutActivityType\"] in self.activityTranslation:\n                    wtype = \"base:\" + self.activityTranslation[child.attrib[\"workoutActivityType\"]]\n                    details[\"activity\"] = self.activityTranslation[child.attrib[\"workoutActivityType\"]]\n                else:\n                    wtype = \"base/\" + child.attrib[\"workoutActivityType\"]\n                    text_description = child.attrib[\"workoutActivityType\"]\n\n            if child.attrib[\"workoutActivityType\"] in type_count:\n                type_count[child.attrib[\"workoutActivityType\"]] = type_count[child.attrib[\"workoutActivityType\"]] + 1\n            else:\n                type_count[child.attrib[\"workoutActivityType\"]] = 1\n            start = child.attrib[\"startDate\"]\n            experienced_start_time = convertToTimezone (start,ORIGIN_TIMEZONE, self.current_timezone)\n            details[\"start\"] = extractTOD(experienced_start_time)[0:5]\n\n            obj = LLEntry(wtype, experienced_start_time, SOURCE)\n\n            if \"endDate\" in child.attrib:\n                obj.endTime = child.attrib[\"endDate\"]\n            else:\n                print (\"no end date\")\n\n            if \"duration\" in child.attrib:\n                obj.duration = child.attrib[\"duration\"]\n                details[\"duration\"] = child.attrib[\"duration\"]\n            if \"totalDistance\" in child.attrib:\n\n                obj.distance = child.attrib[\"totalDistance\"]\n                details[\"distance\"] = child.attrib[\"totalDistance\"]\n            if \"totalEnergyBurned\" in child.attrib:\n                obj.calories = child.attrib[\"totalEnergyBurned\"]\n\n            for item in child.findall('MetadataEntry'):\n                if (item.attrib[\"key\"]) == \"HKIndoorWorkout\":\n                    obj.outdoor = item.attrib[\"value\"]\n                    details[\"indoor\"] = item.attrib[\"value\"]\n                if (item.attrib[\"key\"]) == \"HKTimeZone\":\n                    text_description = text_description + \" timezone: \" + item.attrib[\"value\"]\n                    obj.timezone = item.attrib[\"value\"]\n                    if obj.timezone != self.current_timezone:\n                        self.current_timezone = obj.timezone\n                if (item.attrib[\"key\"]) == \"HKWeatherTemperature\":\n                    obj.temperature = item.attrib[\"value\"]\n\n            obj.textDescription = self.generate_textDescription(details)\n            obj.startTimeOfDay = extractTOD(experienced_start_time)\n            obj.endTimeOfDay = extractTOD(obj.endTime)\n            return obj\n        else:\n            return None\n\n\n\n"
  },
  {
    "path": "src/ingest/importers/create_facebook_LLEntries.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport json\nfrom tqdm import tqdm\n\nfrom src.ingest.importers.photo_importer_base import PhotoImporter\nfrom src.common.objects.EntryTypes import EntryType\nfrom src.common.objects.import_configs import SourceConfigs\n\n\nclass FacebookPhotosImporter(PhotoImporter):\n    def __init__(self, source_id:int,  source_name: str, entry_type: EntryType, configs:SourceConfigs):\n        super().__init__(source_id, source_name, entry_type, configs)\n\n    def import_photos(self, cwd, subdir):\n        json_filepath = cwd + \"/\" + subdir if subdir is not None else cwd\n        print(\"Using path: \", json_filepath)\n        json_files = self.get_type_files_deep(json_filepath,\n                                              self.configs.filename_regex,\n                                              self.configs.filetype.split(\",\"))\n        print(\"All json files in path: \", json_files)\n        for json_file in tqdm(json_files):\n            print(\"Reading File: \", json_file)\n            with open(json_file, 'r') as f1:\n                r = f1.read()\n                post_data = json.loads(r)\n            #print(\"post_data is of type: \", type(post_data))\n            #Object boundary in FB jsons are at timestamp or creation_timestamp based on post type\n            all_media = self.find_all_in_haystack(\"timestamp\", post_data, True)\n            ts2 = self.find_all_in_haystack(\"creation_timestamp\", post_data, True)\n            all_media += ts2\n            #print(\"Image_Container\", all_media)\n            for media_container in tqdm(all_media):\n                tagged_people = []\n                if isinstance(media_container, dict) and \"tags\" in media_container.keys():\n                    #print(\"Found tags: \", media_container[\"tags\"])\n                    tagged_people = media_container[\"tags\"]\n                uri_container = self.find_all_in_haystack(\"uri\", media_container, True)\n                count = 0;\n                for one_media in tqdm(uri_container):\n                    if isinstance(one_media, dict) and \"uri\" in one_media.keys():\n                        count += 1\n                        uri = cwd +\"/\"+ one_media[\"uri\"]\n                        exif_data = self.find_all_in_haystack(\"exif_data\", one_media, False)\n                        #print(\"exif_data: \", exif_data)\n                        if exif_data and isinstance(exif_data, list):\n                            latitude:float = float(exif_data[0][\"latitude\"]) if \"latitude\" in exif_data[0].keys() else 0.0\n                            longitude:float = float(exif_data[0][\"longitude\"]) if \"longitude\" in exif_data[0].keys() else 0.0\n                            taken_timestamp:int = int(exif_data[0][\"taken_timestamp\"]) \\\n                                if \"taken_timestamp\" in exif_data[0].keys() else 0\n                            if not self.is_photo_already_processed(self.get_filename_from_path(uri), taken_timestamp):\n                                if latitude==0.0 and longitude==0.0 and taken_timestamp==0:\n                                    #print(\"No GPS or Time info, skipping: \", self.get_filename_from_path(uri))\n                                    continue\n                                obj = self.create_LLEntry(uri, latitude, longitude, taken_timestamp, tagged_people)\n                                self.pdc.add_photo(self.source_id, obj)\n                                # print(\"OBJ: \",obj)\n                            else:\n                                #print(self.get_filename_from_path(uri), \" is already processed. Skipping recreation...\")\n                                continue"
  },
  {
    "path": "src/ingest/importers/create_google_photo_LLEntries.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport json\nimport sqlite3\nfrom pathlib import Path\nfrom tqdm import tqdm\n\nfrom src.ingest.importers.photo_importer_base import PhotoImporter\nfrom src.common.objects.EntryTypes import EntryType\nfrom src.common.objects.import_configs import SourceConfigs\n\n\nclass GooglePhotosImporter(PhotoImporter):\n    def __init__(self, source_id:int,  source_name: str, entry_type: EntryType, configs:SourceConfigs):\n        super().__init__(source_id, source_name, entry_type, configs)\n\n    def import_photos(self, cwd, subdir):\n        orphan_json_files = []\n        print(\"Using path: \", str(Path(self.configs.input_directory).absolute()))\n        entries = self.get_type_files_deep(str(Path(self.configs.input_directory).absolute()),\n                                           None,\n                                           self.configs.filetype.split(\",\"))\n        if entries is None or len(entries) == 0:\n            print(\"NotFound: Data expected in \", self.configs.input_directory, \" while importing for \",\n                  self.source_name)\n            if self.configs.filename_regex is not None:\n                print(\"File pattern searched for:\", self.configs.filename_regex, \"extn:\", self.configs.filetype)\n            return\n\n        for img_file in entries:\n            try:\n                self.pdc.add_only_photo(self.source_id, self.get_filename_from_path(img_file), img_file)\n            except sqlite3.IntegrityError:\n                #print(img_file, \" already present in DB\")\n                continue\n        total_imported = 0\n        heic_counter = 0\n        json_entries = self.get_type_files_deep(str(Path(self.configs.input_directory).absolute()),\n                                           self.configs.filename_regex,\n                                           \"json\".split(\",\"))\n        if json_entries is None or len(json_entries) == 0:\n            print(\"NotFound: Json Data expected in \", self.configs.input_directory, \" while importing for \",\n                  self.source_name)\n            return\n        skipped = 0\n        # Now that all photos are added, we go through all jsons and add them to DB\n        for json_file in tqdm(json_entries):\n            #print(\"Reading File: \", json_file)\n            with open(json_file, 'r') as f1:\n                r = f1.read()\n                content = json.loads(r)\n            # some JSON could be empty (i.e print-subscriptions.json)\n            if len(content) == 0:\n                skipped+=1\n                continue\n            # some JSON will not contain title (i.e shared_album_comments.json)\n            if 'title' not in content.keys():\n                skipped += 1\n                continue\n            imageFileName=content[\"title\"]\n            #Search for DB row that has the full imagePath\n            select_cols = \"id, imageFilePath, data_timestamp\"\n            where_clause = {\"source_id\": \"=\" + str(self.source_id), \"imageFileName\": \"=\\\"\" + imageFileName + \"\\\"\"}\n            res = self.pdc.search_personal_data(select_cols, where_clause)\n            db_entry = res.fetchone()\n            if db_entry is None:\n                orphan_json_files.append(json_file)\n                continue\n            row_id = db_entry[0]\n            imageFilePath = db_entry[1]\n            timestamp = db_entry[2]\n            if timestamp is not None:\n                # print(\"RowId: \", row_id, \" is already processed. Skipping recreation...\")\n                skipped += 1\n                continue\n            # get lat/long\n            latitude = float(content[\"geoData\"][\"latitude\"])\n            longitude = float(content[\"geoData\"][\"longitude\"])\n            taken_timestamp = int(content[\"photoTakenTime\"][\"timestamp\"])\n            tagged_people=[]\n            if \"people\" in content.keys():\n                # print (content[\"people\"])\n                tagged_people = content[\"people\"]\n            if \"imageViews\" in content.keys():\n                imageViews = content[\"imageViews\"]\n            # if os.path.splitext(imageFilePath)[1] == '.HEIC':\n            #     heic_counter +=1\n                # continue\n            obj = self.create_LLEntry(imageFilePath, latitude, longitude, taken_timestamp, tagged_people, imageViews)\n            self.pdc.add_or_replace_personal_data({\"data\": obj, \"data_timestamp\": int(taken_timestamp), \"id\": row_id}, \"id\")\n            total_imported += 1\n        print(\"Orphaned Json Files: \", len(orphan_json_files))\n        print(\"Skipped: \", skipped)\n        print(\"Total processed: \", total_imported)\n        # print(\"Total HEIC ignored: \", heic_counter)\n        # if heic_counter > 0:\n        #     print('Please convert your HEIC file to JPEG')\n"
  },
  {
    "path": "src/ingest/importers/create_googlemaps_LLEntries.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nfrom pathlib import Path\n\nfrom tqdm import tqdm\n\nfrom src.ingest.importers.generic_importer import GenericImporter\nfrom src.common.objects.EntryTypes import EntryType\nfrom src.common.objects.LLEntry_obj import LLEntry\nfrom src.common.objects.import_configs import SourceConfigs\nfrom src.common.util import *\nimport time\n\n# This is where the photos and their jsons sit\nORIGIN_TIMEZONE = str(pytz.utc)\nglobal geolocator\ngeolocator = GeoHelper()\n\n\n# se: True if it's for start, False for end\n# lat/long are strings\n\nclass GoogleMapsImporter(GenericImporter):\n    def __init__(self, source_id:int,  source_name: str, entry_type: EntryType, configs:SourceConfigs):\n        super().__init__(source_id, source_name, entry_type, configs)\n    def calculateLocationFromLatLong(self, lat, lon):\n        # print (\"lat is \", lat)\n        time.sleep(1)\n        location = geolocator.calculateLocation(str(lat), str(lon), addressdetails=True)\n        return (location)\n\n    def generate_textDescription(self, details):\n        # print (details)\n        result = details[\"start\"] + \": \"\n        if \"activity\" not in details:\n            return (result + \"unidentified activity\")\n        result = result + details[\"activity\"] + \" \"\n        if \"duration\" in details:\n            result = result + truncateStringNum(details[\"duration\"], 0) + \" minutes \"\n        if \"distance\" in details:\n            distanceNum = truncateStringNum(details[\"distance\"], 2)\n            if distanceNum != \"0.0\":\n                result = result + distanceNum + \" miles \"\n        # if details[\"indoor\"] != \"0\":\n\n    #        result = result + \"(indoors)\"\n\n    def placeVisitExtract(self, visit):\n        # print (\"in place visit extract\")\n        start = visit[\"duration\"][\"startTimestamp\"][0:19]\n        start_lat = visit[\"location\"][\"latitudeE7\"]\n        start_lon = visit[\"location\"][\"longitudeE7\"]\n        target_timezone = convertlatlongToTimezone(start_lat, start_lon)\n        experienced_start_time = convertToTimezone(start, ORIGIN_TIMEZONE, target_timezone)\n\n        # print(\"visit: lat long, start, target_timezone, experiencedStartTime\")\n        # print(convertOutOfE7(start_lat))\n        # print(convertOutOfE7(start_lon))\n        # print(start)\n        # print(target_timezone)\n        # print(experienced_start_time)\n\n        obj = LLEntry(self.entry_type, experienced_start_time, self.source_name)\n        obj.lat_lon.append([convertOutOfE7(start_lat),convertOutOfE7(start_lon)])\n        startTOD = experienced_start_time[11:19]\n        obj.startTimeOfDay = startTOD\n        textDescription = startTOD[0:5] + \": \"\n        if \"location\" in visit:\n            #Keep placeholder to be replaced after geo enrichment\n            textDescription = textDescription + \"visit to $location\"\n\n        if \"duration\" in visit:\n            obj.endTime = visit[\"duration\"][\"endTimestamp\"][0:19]\n            experienced_endTime = convertToTimezone(visit[\"duration\"][\"endTimestamp\"][0:19],\n                                                    ORIGIN_TIMEZONE, target_timezone)\n            obj.endTime = experienced_endTime\n            obj.endTimeOfDay = experienced_endTime[11:19]\n\n            tstart = datetime.fromisoformat(obj.startTime)\n            tend = datetime.fromisoformat(obj.endTime)\n            dur = tend - tstart\n            obj.duration = str(dur)\n            textDescription = textDescription + \" (duration: \" + obj.duration + \")\"\n\n        obj.textDescription = textDescription\n        #print(\"TEXT DESCRIPTION:  \", obj.textDescription)\n        return obj\n\n    def activitySegmentExtract(self, activity):\n        # print(\"in activity extract\")\n        translation = {\"IN_PASSENGER_VEHICLE\": \"drive\",\n                       \"WALKING\": \"walk\",\n                       \"MOTORCYCLING\": \"motorcycle\", \"IN_BUS\": \"bus\",\n                       \"IN_SUBWAY\": \"subway\", \"CYCLING\": \"cycling\",\n                       \"FLYING\": \"fly\"}\n        # if \"activityType\" not in activity:\n        #     print(\"activityType not in Activity\")\n        #     print(activity)\n        textActivity = \"\"\n        wtype = self.entry_type\n        if \"activityType\" in activity:\n            if activity[\"activityType\"] in translation:\n                wtype = \"base:\" + translation[activity[\"activityType\"]]\n                textActivity = translation[activity[\"activityType\"]]\n            else:\n                wtype = \"base:\" + activity[\"activityType\"]\n                textActivity = \"Unrecognized activity\"\n                print(\"add new activity type to dictionary \", activity[\"activityType\"])\n\n        start = activity[\"duration\"][\"startTimestamp\"][0:19]\n\n        if \"latitudeE7\" not in activity[\"startLocation\"] or \\\n            \"longitudeE7\" not in activity[\"startLocation\"] or \\\n            \"latitudeE7\" not in activity[\"endLocation\"] is None or \\\n            \"longitudeE7\" not in activity[\"endLocation\"] is None:\n            #print(\"Some Location data is missing. Skipping\", activity)\n            return\n\n        start_lat = convertOutOfE7(activity[\"startLocation\"][\"latitudeE7\"])\n        start_lon = convertOutOfE7(activity[\"startLocation\"][\"longitudeE7\"])\n        end_lat = convertOutOfE7(activity[\"endLocation\"][\"latitudeE7\"])\n        end_lon = convertOutOfE7(activity[\"endLocation\"][\"longitudeE7\"])\n\n        target_timezone = convertlatlongToTimezone(activity[\"startLocation\"][\"latitudeE7\"], \\\n                                                   activity[\"startLocation\"][\"longitudeE7\"])\n        experienced_startTime = convertToTimezone(start, ORIGIN_TIMEZONE, target_timezone)\n        # print(\"activity: lat long, start, target_timezone, experiencedStartTime\")\n        # print(start_lat)\n        # print(start_lon)\n        # print(start)\n        # print(target_timezone)\n        # print(experienced_startTime)\n\n        startTOD = experienced_startTime[11:19]\n        textDescription = startTOD[0:5] + \": \" + textActivity\n        obj = LLEntry(wtype, experienced_startTime, self.source_name)\n        obj.lat_lon.append([start_lat,start_lon])\n        obj.lat_lon.append([end_lat, end_lon])\n        obj.startTimeOfDay = startTOD\n        experienced_endTime = convertToTimezone(activity[\"duration\"][\"endTimestamp\"][0:19], ORIGIN_TIMEZONE,\n                                                target_timezone)\n        obj.endTime = experienced_endTime\n        obj.endTimeOfDay = experienced_endTime[11:19]\n\n        tstart = datetime.fromisoformat(obj.startTime)\n        tend = datetime.fromisoformat(obj.endTime)\n        dur = tend - tstart\n        obj.duration = str(dur)\n        textDescription = textDescription + \" (duration: \" + obj.duration + \")\"\n\n        if \"name\" in activity[\"endLocation\"]:\n            # print(activity[\"endLocation\"][\"name\"])\n            obj.endLocation = activity[\"endLocation\"][\"name\"]\n            textDescription = textDescription + \" ended at \" + obj.endLocation\n        if \"distanceMeters\" in activity:\n            obj.distance = activity[\"distanceMeters\"]\n            textDescription = textDescription + \" distance: \" + obj.distance\n\n        obj.textDescription = textDescription\n        #print(\"TEXT DESCRIPTION:  \", obj.textDescription)\n        return obj\n\n\n    def import_data(self, field_mappings:list):\n        print(\"Looking for files in\", str(Path(self.configs.input_directory).absolute()))\n        entries = self.get_type_files_deep(str(Path(self.configs.input_directory).absolute()),\n                                           self.configs.filename_regex,\n                                           self.configs.filetype.split(\",\"))\n        if entries == None or len(entries) == 0:\n            print(\"NotFound: Data expected in\", self.configs.input_directory, \"while importing for\",\n                  self.source_name)\n            if self.configs.filename_regex is not None:\n                print(\"File pattern searched for:\", self.configs.filename_regex, \"extn:\", self.configs.filetype)\n            return\n\n        for entry in tqdm(entries):\n            print(\"Reading File:\", entry)\n            with open(entry, 'r') as f_json:\n                r = f_json.read()\n                data = json.loads(r)\n\n            for i in data['timelineObjects']:\n                obj = None\n                key_list = [*i.keys()]\n                if key_list[0] == \"placeVisit\":\n                    obj = self.placeVisitExtract(i[\"placeVisit\"])\n                elif key_list[0] == \"activitySegment\":\n                    obj = self.activitySegmentExtract(i[\"activitySegment\"])\n                else:\n                    print(\"Can't recognize key\", key_list[0])\n                if obj is None:\n                    #print(\"Skipping row:\", i)\n                    continue\n                data_entry = self.build_db_entry(obj)\n                self.pdc.add_or_replace_personal_data(data_entry, \"dedup_key\")\n\n"
  },
  {
    "path": "src/ingest/importers/generic_importer.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport json\nimport pickle\nimport re\nfrom abc import abstractmethod\nfrom pathlib import Path\nimport os\nimport pandas as pd\nfrom tqdm import tqdm\n\nfrom src.common.objects.EntryTypes import EntryType\nfrom src.common.objects.LLEntry_obj import LLEntry\nfrom src.common.objects.import_configs import SourceConfigs, FieldMapping\nimport parsedatetime\n\n#Keep imports that may be used in dynamic function evaluation\nfrom datetime import datetime, timedelta\n\nfrom src.common.persistence.personal_data_db import PersonalDataDBConnector\nfrom src.common.util import *\n\n\nclass GenericImporter:\n    def __init__(self, source_id:int, source_name:str, entry_type:EntryType, configs:SourceConfigs):\n        self.pdc = PersonalDataDBConnector()\n        self.source_id = source_id\n        self.source_name = source_name\n        self.entry_type = entry_type\n        self.configs = configs\n        self.cal = parsedatetime.Calendar()\n\n    @abstractmethod\n    def import_data(self, field_mappings:list):\n        pass\n\n    def generate_textDescription(self, details):\n        result = details[\"start\"] + \": \"\n        if \"activity\" not in details:\n            return (result+ \"unidentified activity\")\n        result = result + details[\"activity\"] + \" \"\n        if \"duration\" in details:\n            result = result + truncateStringNum(details[\"duration\"],0) + \" minutes \"\n        if \"distance\" in details:\n            distanceNum = truncateStringNum(details[\"distance\"],2)\n            if distanceNum != \"0.0\":\n                result = result + distanceNum  + \" miles \"\n        #if details[\"indoor\"] != \"0\":\n    #        result = result + \"(indoors)\"\n\n        return (result)\n\n    def get_type_files_deep(self, pathname: str, filename_pattern: str, type: list) -> list:\n        json_files = []\n        type_str: str = \"|\".join(type).lower()\n        if filename_pattern is None:\n            filename_regex = \".*\"\n        else:\n            filename_regex = \".*\" + filename_pattern.lower() + \".*\"\n        if os.path.isdir(pathname):\n            dir_entries = os.listdir(pathname)\n            for dir_entry in dir_entries:\n                all_json = self.get_type_files_deep(pathname + \"/\" + dir_entry, filename_pattern, type)\n                if all_json is not None:\n                    if isinstance(all_json, list):\n                        for one_json in all_json:\n                            json_files.append(one_json)\n                    else:\n                        json_files.append(all_json)\n            return json_files\n        elif os.path.isfile(pathname) \\\n                and re.match(filename_regex + \"\\.(\" + type_str + \")$\", pathname.lower()):\n            path_arr = []\n            path_arr.append(pathname)\n            return path_arr\n\n    def build_db_entry(self, obj: LLEntry):\n        db_entry = {}\n        dedup_value = self.build_dedup_value(obj, self.configs.dedup_key)\n        # id, source_id, data_timestamp, dedup_key, data\n        db_entry[\"source_id\"] = self.source_id\n        db_entry[\"data_timestamp\"] = obj.startTime\n        db_entry[\"dedup_key\"] = dedup_value\n        db_entry[\"data\"] = obj\n        return db_entry\n    def build_dedup_value(self, obj: LLEntry, unique_key:list):\n        dedup_key = \"\"\n        for attrib in unique_key:\n            if obj.__getattribute__(attrib) is not None:\n                dedup_key+=str(obj.__getattribute__(attrib))+\"_\"\n            else:\n                dedup_key+=\"__\"\n        return dedup_key[:-1]\n    def create_LLEntry(self, row:dict, field_mappings:list):\n        lifelog_obj = LLEntry(self.entry_type, \"\", self.source_name)\n        for fmp in field_mappings:\n            field_mapping:FieldMapping = fmp\n            ll_attrib_name = field_mapping.target\n            ll_attribe_type = field_mapping.target_type\n            if field_mapping.src is not None:\n                if field_mapping.src in row.keys():\n                    src_value = row[field_mapping.src]\n                    #When a function is applied over source data before aading to llentry\n                    if field_mapping.functions is not None:\n                        #print(\"Found functions to apply\")\n                        self.evaluate_functions(field_mapping, lifelog_obj)\n                    else:\n                        if ll_attribe_type == \"datetime\":\n                            #print(\"Converting\", src_value,\"to datetime\")\n                            try:\n                                dt_attr_value=self.cal.parseDT(src_value)[0].isoformat()\n                            except:\n                                #TODO: Fix Silent return, find a way to identify corrupt row\n                                return\n                            lifelog_obj.__setattr__(ll_attrib_name,dt_attr_value)\n                        # Count type will be mapped to a dict as target[src] -> Not sure if needed\n                        # elif ll_attribe_type == \"count\":\n                        #     count_dict = lifelog_obj.__getattribute__(field_mapping.target)\n                        #     if src_value not in count_dict.keys():\n                        #         count_dict[src_value]=1\n                        #     else:\n                        #         count_dict[src_value]+= 1\n                        else:\n                            # Simple mapping\n                            lifelog_obj.__setattr__(ll_attrib_name, src_value)\n                    #print(ll_attrib_name,\"=\",lifelog_obj.__getattribute__(ll_attrib_name))\n                else:\n                    raise Exception(\"Failed to map\", field_mapping.src,\". Not present in\", row)\n            elif field_mapping.functions is not None:\n                #Case when src field is not present. This is the case for derived fields\n                #print(\"Found functions without source\")\n                self.evaluate_functions(field_mapping, lifelog_obj)\n\n            else:\n                raise Exception(\"Mapping without either src or function is not supported. \"+field_mapping.toJson())\n        return lifelog_obj\n\n    def evaluate_functions(self, fieldMapping:FieldMapping, lifelog_obj:LLEntry):\n        val=None\n        for function in fieldMapping.functions:\n            #print(\"Original func:\", function)\n            # Update placeholders with actual values\n            placeholders = re.findall(\"\\$[A-Za-z_]*\", function)\n            for placeholder in placeholders:\n                ph_value = lifelog_obj.__getattribute__(placeholder.strip(\"$\"))\n                #print(\"For placeholder:\", placeholder,\"found:\",ph_value)\n                if ph_value is None:\n                    raise Exception(\"\"\"Trying to replace a value that is not set. Functions should be defined with placeholders\n                     already mapped in the LLEntry\"\"\", function)\n                function = function.replace(placeholder, str(ph_value))\n\n            # A function can either have eval section or exec section, never both\n            #print(\"Final func:\", function)\n            exec_section = re.match(\"exec:(.*)\", function)\n            if exec_section:\n                #print(\"Executing\", exec_section.group(1))\n                exec(exec_section.group(1).strip())\n            eval_section = re.match(\"eval:(.*)\", function)\n            if eval_section:\n                val = eval(eval_section.group(1).strip())\n                #print(\"Evaluated\", eval_section.group(1).strip(), \"to\", val, type(val))\n                lifelog_obj.__setattr__(fieldMapping.target, val)\n        return val\n\n#This class supports import of non-nested JSON files\nclass SimpleJSONImporter(GenericImporter):\n    def __init__(self, source_id:int, source_name:str, entry_type:EntryType, configs:SourceConfigs):\n        # print(\"JSONImporter\")\n        super().__init__(source_id, source_name, entry_type, configs)\n    \n    def import_data(self, field_mappings:list):\n        entries = self.get_type_files_deep(str(Path(self.configs.input_directory).absolute()),\n                                      self.configs.filename_regex,\n                                      self.configs.filetype.split(\",\"))\n        if entries is None or len(entries) == 0:\n            print(\"NotFound: Data expected in\", self.configs.input_directory, \"while importing for\", self.source_name)\n            if self.configs.filename_regex is not None:\n                print(\"File pattern searched for:\", self.configs.filename_regex, \"extn:\",self.configs.filetype)\n            return\n        for entry in tqdm(entries):\n            print(\"Reading File:\", entry)\n            with open(entry, 'r') as f1:\n                r = f1.read()\n                user_data = json.loads(r)\n            if isinstance(user_data, list):\n                for row in tqdm(user_data):\n                    obj = self.create_LLEntry(row, field_mappings)\n                    data_entry = self.build_db_entry(obj)\n                    self.pdc.add_or_replace_personal_data(data_entry,\"dedup_key\")\n            else:\n                raise Exception(\"UserData expected to be a list. Found \"+type(user_data))\n\n\nclass CSVImporter(GenericImporter):\n    def __init__(self, source_id:int, source_name: str, entry_type: EntryType, configs:SourceConfigs):\n        #print(\"CSVImporter\")\n        super().__init__(source_id, source_name, entry_type, configs)\n\n    def import_data(self, field_mappings: list):\n        # Select top level Category -> Maybe\n        # Collect info about Data source based on filetype\n        # Create a dictionary of inputField to LLEntry field\n        # Store into DataSource\n        entries = self.get_type_files_deep(str(Path(self.configs.input_directory).absolute()),\n                                           self.configs.filename_regex,\n                                           self.configs.filetype.split(\",\"))\n        if entries is None or len(entries) == 0:\n            print(\"NotFound: Data expected in \", self.configs.input_directory, \" while importing for \", self.source_name)\n            if self.configs.filename_regex is not None:\n                print(\"File pattern searched for:\", self.configs.filename_regex, \"extn:\",self.configs.filetype)\n            return\n        for entry in tqdm(entries):\n            print(\"Reading CSV:\", entry)\n            skip_rows = 0\n            if self.configs.filetype_configs is not None and \"skiprows\" in self.configs.filetype_configs.keys():\n                skip_rows = self.configs.filetype_configs[\"skiprows\"]\n            df = pd.read_csv(entry, skiprows=skip_rows, dtype=str)\n            for index, row in tqdm(df.iterrows(), total=df.shape[0]):\n                obj = self.create_LLEntry(row.to_dict(), field_mappings)\n                if obj is None:\n                    # print(\"Skipping row:\", row.to_dict())\n                    continue\n                data_entry = self.build_db_entry(obj)\n                self.pdc.add_or_replace_personal_data(data_entry, \"dedup_key\")\n\n"
  },
  {
    "path": "src/ingest/importers/generic_importer_workflow.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport pickle\nimport logging as log\n\nfrom src.ingest.importers.create_facebook_LLEntries import FacebookPhotosImporter\nfrom src.ingest.importers.create_google_photo_LLEntries import GooglePhotosImporter\nfrom src.ingest.importers.create_googlemaps_LLEntries import GoogleMapsImporter\nfrom src.ingest.importers.create_apple_health_LLEntries import AppleHealthImporter\nfrom src.ingest.importers.generic_importer import SimpleJSONImporter, CSVImporter\nfrom src.common.objects.import_configs import DataSourceList, SourceConfigs, FileType\nfrom src.common.persistence.personal_data_db import PersonalDataDBConnector\n\n\nclass GenericImportOrchestrator:\n    def __init__(self):\n        self.pdc = PersonalDataDBConnector()\n        self.import_greenlit_sources = []\n\n    def add_new_source(self, datasource: DataSourceList):\n        # TODO: Insert new entry to Data Source\n        datasource.__dict__\n\n    def start_import(self):\n        existing_sources = self.pdc.read_data_source_conf(\"id, source_name, entry_type, configs, field_mappings\")\n        if existing_sources is not None:\n            for source in existing_sources:\n                source_id = source[0]\n                source_name = source[1]\n                entry_type = source[2]\n                configs: SourceConfigs = pickle.loads(source[3])\n                field_mappings: list = pickle.loads(source[4])\n                log.info(f\"Configurations found for {source_name}. \"\n                         f\"Attempting to import data from {configs.input_directory}\")\n                imp=None\n                if source_name == \"GoogleTimeline\":\n                    imp = GoogleMapsImporter(source_id, source_name, entry_type, configs)\n                elif source_name == \"GooglePhotos\":\n                    imp = GooglePhotosImporter(source_id, source_name, entry_type, configs)\n                elif source_name == \"FacebookPosts\":\n                    imp = FacebookPhotosImporter(source_id, source_name, entry_type, configs)\n                elif source_name == \"AppleHealth\" and configs.filetype == FileType.XML:\n                    imp = AppleHealthImporter(source_id, source_name, entry_type, configs)\n                elif configs.filetype == FileType.JSON:\n                    imp = SimpleJSONImporter(source_id, source_name, entry_type, configs)\n                elif configs.filetype == FileType.CSV:\n                    imp = CSVImporter(source_id, source_name, entry_type, configs)\n                print(\"Beginning import for\", imp.source_name)\n                imp.import_data(field_mappings)\n        else:\n            log.info(\"No Data source registered with importers.\")\n\n    def import_from_xml(self, source_name: str, configs: SourceConfigs, field_mappings: list):\n        print(\"XML\")\n"
  },
  {
    "path": "src/ingest/importers/photo_importer_base.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nfrom pathlib import Path\nimport re\nimport pytz\nfrom parsedatetime import parsedatetime\nfrom timezonefinder import TimezoneFinder\nimport datetime\nfrom datetime import datetime\nfrom abc import abstractmethod\nfrom src.common.objects.EntryTypes import EntryType\nfrom src.common.objects.LLEntry_obj import LLEntry\nfrom PIL import Image\nfrom pillow_heif import register_heif_opener\n\nfrom src.common.objects.import_configs import SourceConfigs\nfrom src.ingest.importers.generic_importer import GenericImporter\n\nregister_heif_opener()\n\nfrom src.common.persistence.personal_data_db import PersonalDataDBConnector\n\nclass PhotoImporter(GenericImporter):\n    @abstractmethod\n    def __init__(self, source_id:int, source_name:str, entry_type:EntryType, configs:SourceConfigs):\n        self.pdc = PersonalDataDBConnector()\n        self.source_id = source_id\n        self.source_name = source_name\n        self.entry_type = entry_type\n        self.configs = configs\n        self.cal = parsedatetime.Calendar()\n\n    @abstractmethod\n    def import_photos(self, cwd, subdir):\n        pass\n\n    def import_data(self, field_mappings:list):\n        print(\"Import Data for\", self.source_name)\n        cwd = str(Path(self.configs.input_directory).absolute())\n        self.import_photos(cwd, None)\n\n    def calculateExperiencedTimeRealAndUtc(self, latitude: float, longitude: float, timestamp: int):\n        # get timestamp\n        utc = pytz.utc\n        utc_dt = utc.localize(datetime.utcfromtimestamp(timestamp))\n        # translate lat/long to timezone\n        tf = TimezoneFinder()\n        timezone_str = tf.timezone_at(lng=longitude, lat=latitude)\n        # print(timezonetf)\n        real_timezone = pytz.timezone(timezone_str)\n        real_date = real_timezone.normalize(utc_dt.astimezone(real_timezone))\n        #print(\"converted into: \", real_date)\n        return str(real_date), str(utc_dt)\n\n    def get_type_files_deep(self, pathname: str, filename_pattern: str, type: list) -> list:\n        json_files = []\n        type_str: str = \"|\".join(type).lower()\n        if filename_pattern is None:\n            filename_regex = \".*\"\n        else:\n            filename_regex = \".*\" + filename_pattern.lower() + \".*\"\n        if os.path.isdir(pathname):\n            dir_entries = os.listdir(pathname)\n            for dir_entry in dir_entries:\n                all_json = self.get_type_files_deep(pathname + \"/\" + dir_entry, filename_pattern, type)\n                if all_json is not None:\n                    if isinstance(all_json, list):\n                        for one_json in all_json:\n                            json_files.append(one_json)\n                    else:\n                        json_files.append(all_json)\n            return json_files\n        elif os.path.isfile(pathname):\n            if re.match(filename_regex + \"\\.(\" + type_str + \")$\", pathname.lower()):\n                path_arr = []\n                path_arr.append(pathname)\n                return path_arr\n\n    # Given a nested json(haystack), this function finds all occurrences\n    # of the key(needle) and returns a list of found entries\n    def find_all_in_haystack(self, needle, haystack, return_parent: bool):\n        if isinstance(haystack, dict) and needle in haystack.keys():\n            if return_parent:\n                # print(\"FOUND:::\", haystack)\n                return haystack\n            else:\n                # print(\"FOUND:::\", haystack[needle])\n                return haystack[needle]\n        else:\n            found_elements = []\n            if isinstance(haystack, dict):\n                for hay in haystack:\n                    # print(haystack[hay], \"type: \", type(haystack[hay]))\n                    out = self.find_all_in_haystack(needle, haystack[hay], return_parent)\n                    if out is not None:\n                        found_elements.append(out)\n            elif isinstance(haystack, list):\n                for hay in haystack:\n                    # print(hay, \"type: \", type(hay))\n                    out = self.find_all_in_haystack(needle, hay, return_parent)\n                    if out is not None:\n                        found_elements.append(out)\n            #print(\"Found Elements: \", found_elements)\n            # TODO: Some hacky cleanup. Sure there's a better way to create a non-nested list\n            found_elements = list(filter(None, found_elements))\n            return list(self.flatten(found_elements))\n\n    # Function to flatten a nested list of lists recursively\n    def flatten(self, struct):\n        for i in struct:\n            if isinstance(i, (list, tuple)):\n                for j in self.flatten(i):\n                    yield j\n            else:\n                yield i\n\n    # Extracts just the name of the file along with the extension\n    # give full path to the file\n    def get_filename_from_path(self, uri):\n        uri_arr = uri.split(\"/\")\n        return uri_arr[len(uri_arr) - 1]\n\n\n    def is_photo_already_processed(self, filename, taken_timestamp):\n        return self.pdc.is_same_photo_present(self.source_id, filename, taken_timestamp)\n\n    def create_LLEntry(self,\n                       uri,\n                       latitude,\n                       longitude,\n                       taken_timestamp,\n                       tagged_people,\n                       imageViews=0) -> LLEntry:\n        real_start_time, utc_start_time = self.calculateExperiencedTimeRealAndUtc(latitude,\n                                                                        longitude, taken_timestamp)\n        # TODO:Photo Location would be an enrichment step.\n\n        obj = LLEntry(self.entry_type, real_start_time, self.source_name)\n        obj.startTimeOfDay = real_start_time[11:19]\n        obj.lat_lon.append([latitude, longitude])\n\n        #Specific to Image\n        obj.imageFilePath = uri\n        obj.imageFileName = self.get_filename_from_path(uri)\n        obj.imageTimestamp = taken_timestamp\n        obj.peopleInImage = tagged_people\n        #TODO: Get more details from image\n        im = Image.open(uri)\n        width, height = im.size\n        obj.imageWidth = width\n        obj.imageHeight = height\n        return obj"
  },
  {
    "path": "src/ingest/ingestion_startup.sh",
    "content": "#! /bin/bash\npython -m src.ingest.workflow\n# python -m src.ingest.offline_processing\npython -m src.ingest.create_episodes\npython -m src.ingest.derive_episodes\n"
  },
  {
    "path": "src/ingest/offline_processing.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport torch\nimport numpy as np\nimport pickle\nimport datetime\nimport os\nimport json\n\nfrom src.common.persistence.personal_data_db import PersonalDataDBConnector\nfrom collections import Counter\nfrom tqdm import tqdm\n\nfrom typing import Dict, List\nfrom src.common.objects.LLEntry_obj import LLEntry, LLEntrySummary\nfrom sklearn.cluster import KMeans\nfrom src.ingest.enrichment.image_enrichment import ImageEnricher\nfrom src.common.util import is_home, get_location_attr, geo_cache, geolocator, default_location, str_to_location\nfrom geopy import Location\nfrom src.ingest.enrichment import socratic\n\nclass LLImage:\n    def __init__(self,\n                 img_path: str,\n                 time: int,\n                 loc: Location):\n        \"\"\"Create an image object from LLEntry and run enhancements\n        \"\"\"\n        self.img_path = img_path\n        enriched, self.embedding = ImageEnricher.enhance(img_path)\n        self.places = enriched[\"places\"]\n        self.objects = enriched[\"objects\"]\n        self.tags = enriched[\"tags\"]\n        self.time = time\n        self.loc = loc\n\n\ndef create_image_summary(images: List[LLImage], k=3):\n    \"\"\"Create a k-image summary using k-means\n    \"\"\"\n    if len(images) < k:\n        return [img.img_path for img in images]\n\n    X = np.array([img.embedding for img in images])\n    kmeans = KMeans(n_clusters=k, random_state=42).fit(X)\n    centers = [c / np.linalg.norm(c) for c in kmeans.cluster_centers_]\n    nearest = [None for _ in range(k)]\n    best_sim = [-1.0 for _ in range(k)]\n\n    for img, label in zip(images, kmeans.labels_):\n        sim = np.dot(img.embedding, centers[label])\n        if sim > best_sim[label]:\n            best_sim[label] = sim\n            nearest[label] = img\n\n    return [img.img_path for img in nearest if img is not None]\n\n\ndef postprocess_bloom(answer: str, keywords: List[str]=None):\n    \"\"\"Postprocess a bloom request response.\"\"\"\n    # answer = answer.replace('\\n', ',').replace('-', ',').replace('.', ',')\n    # items = [item.strip() for item in answer.split(',')]\n    # items = list(Counter([item for item in items if len(item) >= 5]).keys())\n    # return items\n    # print(answer)\n    if isinstance(answer, bytes):\n        answer = answer.decode('UTF-8')\n    answer = answer.replace('\"', '').replace(\"'\", '')\n    answer = answer.strip().split('\\n')[0]\n    \n    # none answer\n    if keywords is not None and \"Keywords:\" in answer:\n        print('Bad:', keywords)\n        answer = keywords[0]\n\n    return answer\n\n\ndef summarize_activity(entries: List[LLImage]):\n    \"\"\"Classify activity of a segment by sending a query to Bloom\"\"\"\n    objects_cnt = Counter()\n    places_cnt = Counter()\n\n    for ent in entries:\n        for o in ent.objects[:1]:\n            objects_cnt[o] += 1\n        for p in ent.places:\n            places_cnt[p] += 1\n\n    sorted_places = list(zip(*places_cnt.most_common(3)))[0]\n    object_list = ', '.join(list(zip(*objects_cnt.most_common(10)))[0])\n    loc = get_location(entries)\n    city = get_location_attr(loc, [\"town\", \"city\", \"suburb\", \"county\"])\n\n    if city.strip() == \"\":\n        tags = []\n    else:\n        tags = [city]\n        \n    tags += object_list.split(', ') + list(sorted_places)\n    keyword_prompt = f\"Keywords: {', '.join(tags)}\"\n    print(keyword_prompt)\n\n    # prompt = \"I am an intelligent image captioning bot. I am going to describe the activities in photos. \"\n    # prompt += f\"I think these photos were taken in {city} at a {sorted_places[0]} or {sorted_places[1]}. \"\n    # prompt += f\"I think there might be a {object_list} in these photos. \"\n    # prompt += \"A short and creative caption to describe these photos. tl;dr:\"\n    # print(prompt)\n    prompt = open('src/enrichment/socratic/caption_prompt.txt').read()\n    prompt += '\\n' + keyword_prompt + '\\nTitle:'\n\n    response = socratic.generate_captions(prompt, method=\"Sample\")\n\n    # print(prompt)\n    # print(response)\n    return postprocess_bloom(response, tags)\n\n\ndef summarize_day(day: List[List[LLImage]], activity_index: Dict):\n    \"\"\"Summarize a day given summaries of activities\"\"\"\n    objects_cnt = Counter()\n    places_cnt = Counter()\n    activity_summaries = [activity_index[get_timestamp(activity[0])].textDescription for activity in day]\n\n    for activity in day:\n        for ent in activity:\n            for o in ent.objects[:1]:\n                objects_cnt[o] += 1\n            for p in ent.places:\n                places_cnt[p] += 1\n\n    sorted_places = list(zip(*places_cnt.most_common(3)))[0]\n    object_list = ', '.join(list(zip(*objects_cnt.most_common(10)))[0])\n    summaries = ' '.join(activity_summaries)\n\n    loc = get_location(day)\n    loc = get_location_attr(loc, [\"town\", \"city\", \"suburb\", \"county\"])\n\n    if loc.strip() == \"\":\n        tags = []\n    else:\n        tags = [loc]\n        \n    tags += object_list.split(', ') + list(sorted_places)\n    keyword_prompt = f\"Keywords: {', '.join(tags)}\"\n    print(keyword_prompt)\n\n    # prompt = \"I am an intelligent image captioning bot. I am going to summarize what I did today. \"\n    # if loc.strip() != \"\":\n    #     prompt += f\"I spent today at {loc}. \"\n    # prompt += f\"I have been to {sorted_places[0]} or {sorted_places[1]}. I saw {object_list}. \"\n    # if len(activity_summaries) > 1:\n    #     prompt += f\"I did the following things: {summaries} \"\n    # prompt += \"A short and creative caption for the photos (tl;dr):\"\n\n    # print(prompt)\n    # prompt = f\"\"\"I am an intelligent image captioning bot.\n    #   I am going to summarize what I did today.\n    #   I spent today at {get_location(day).replace(';', ', ')}.\n    #   I have been to {sorted_places[0]}, {sorted_places[1]}, or {sorted_places[2]}.\n    #   Today, I saw {object_list}.\n    #   A creative short caption I can generate to describe these photos is:\"\"\"\n\n    # print(prompt)\n    prompt = open('src/enrichment/socratic/caption_prompt.txt').read()\n    prompt += '\\n' + keyword_prompt + '\\nTitle:'\n\n    response = socratic.generate_captions(prompt, method=\"Sample\")\n\n    return postprocess_bloom(response, tags)\n\n\ndef trip_data_to_text(locations: List[Location], start_date: List, num_days: int):\n    \"\"\"Data to text for a trip.\"\"\"\n    loc_cnt = Counter()\n\n    for loc in locations:\n        value = get_location_attr(loc, [\"town\", \"city\", \"county\", \"suburb\", \"state\", \"country\"])\n        if len(value) > 0:\n            loc_cnt[value] += 1\n\n    if len(loc_cnt) == 0:\n        return f\"\"\"A {num_days}-day trip, {start_date.year}\"\"\"\n    else:\n        place = loc_cnt.most_common(1)[0][0]\n        return f\"\"\"A {num_days}-day trip to {place}, {start_date.year}\"\"\"\n\n    # prompt = f\"\"\"Paraphrase \"A {num_days}-day trip to {\", \".join(loc_str[:1])} in {start_date.year}/{start_date.month}\" in proper English:\"\"\"\n    # print(prompt)\n    # response = socratic.generate_captions(prompt, method=\"Greedy\")\n    # return postprocess_bloom(response)\n\n\ndef organize_images_by_tags(images: List[LLImage]):\n    \"\"\"Generate an index from image tags (food, plant, etc.) to lists of images.\"\"\"\n    result = {}\n    for image in images:\n        for tag in image.tags:\n            if tag not in result:\n                result[tag] = []\n            result[tag].append({\"img_path\": image.img_path, \n                                \"name\": image.objects[0], \n                                \"datetime\": datetime.datetime.fromtimestamp(image.time),\n                                \"location\": image.loc})\n\n    return result\n\nprevious_location = str_to_location(default_location)\n\ndef get_location(segment) -> Location:\n    \"\"\"Computer the location of an LLEntry/LLImage/activity/day\"\"\"\n    global previous_location\n    if isinstance(segment, LLEntry):\n        entry = segment\n\n        for loc in entry.locations:\n            if loc is not None and loc.address != 'Soul Buoy':\n                previous_location = loc\n                return loc\n\n        for lat_lon in entry.lat_lon:\n            lat_lon = tuple(lat_lon)\n            if lat_lon is not None and lat_lon != (0.0, 0.0):\n                if lat_lon in geo_cache:\n                    previous_location = geo_cache[lat_lon]\n                    return geo_cache[lat_lon]\n                else:\n                    loc = geolocator.reverse(lat_lon)\n                    geo_cache[lat_lon] = loc\n                    previous_location = loc\n                    return loc\n\n        return previous_location\n        # if hasattr(entry, \"startGeoLocation\") and entry.startGeoLocation is not None:\n        #     return entry.startGeoLocation\n        # else:\n        #     return str_to_location(\", \".join([entry.startCity, entry.startState, entry.startCountry]))\n    elif isinstance(segment, LLImage):\n        return segment.loc\n    elif isinstance(segment, list):\n        # return a location in most frequent city\n        city_cnt = Counter()\n        loc_dict = {}\n        for entry in segment:\n            loc = get_location(entry)\n            city = get_location_attr(loc, [\"town\", \"city\", \"suburb\", \"county\"])\n            city_cnt[city] += 1\n            loc_dict[city] = loc\n        most_common_city = city_cnt.most_common(1)[0][0]\n        return loc_dict[most_common_city]\n    else:\n        return \"\"\n\ndef get_start_end_location(segment):\n    \"\"\"Computer start/end locations of a segment\"\"\"\n    start = get_location(segment[0])\n    end = get_location(segment[-1])\n    return start, end\n\ndef get_timestamp(obj):\n    \"\"\"Return the start timestamp of a LLEntry or a list of LLEntries.\n    Convert startTime into usnix time.\"\"\"\n    # 2018-11-25 12:19:01-08:00\n    if isinstance(obj, LLEntry):\n        return datetime.datetime.fromisoformat(obj.startTime).timestamp()\n    if isinstance(obj, LLImage):\n        return obj.time\n    else:\n        return get_timestamp(obj[0])\n\ndef create_segments(entries: List[LLImage]):\n    \"\"\"Create segments of the timeline\"\"\"\n    # create segments of activities\n    entries.sort(key=lambda x: get_timestamp(x))\n\n    def segment(entries, eps):\n        \"\"\"Segment a list of events. The parameter eps defines the (expected) length of the segment.\"\"\"\n        clusters = []\n\n        if len(entries) > 0:\n            curr_point = entries[0]\n            curr_cluster = [curr_point]\n            for point in entries[1:]:\n                if get_timestamp(point) <= get_timestamp(curr_point) + eps:\n                    curr_cluster.append(point)\n                else:\n                    clusters.append(curr_cluster)\n                    curr_cluster = [point]\n                curr_point = point\n            clusters.append(curr_cluster)\n        return clusters\n\n    # create activity segments\n    activity_segments = segment(entries, 1800) # 30-minute\n\n    # deduplicate each segment\n    for activity in activity_segments:\n        if not isinstance(activity[0], LLImage):\n            continue\n        new_segment = []\n        for i, entry in enumerate(activity):\n            duplicate = False\n            emb_i = activity[i].embedding\n            for j in range(i):\n                emb_j = activity[j].embedding\n                sim = np.dot(emb_i, emb_j)\n                if sim > 0.9:\n                    duplicate = True\n                    break\n\n            if not duplicate:\n                new_segment.append(entry)\n\n        activity.clear()\n        activity += new_segment\n\n\n    # create day segments\n    day_segments = segment(activity_segments, 43200) # 12-hours\n    if len(day_segments)==0:\n        return []\n\n    trip_segments = [[day_segments[0]]]\n    prev_is_home = True\n\n    for i in range(len(day_segments)):\n        loc = get_location(day_segments[i])\n        if is_home(loc):\n            trip_segments.append([day_segments[i]])\n        else:\n            if prev_is_home:\n                trip_segments.append([day_segments[i]])\n            else:\n                if get_timestamp(day_segments[i]) >= get_timestamp(trip_segments[-1][-1]) + 43200 * 2 * 3: # 3-day gap ==> consider a new trip\n                    trip_segments.append([day_segments[i]])\n                else:\n                    trip_segments[-1].append(day_segments[i])\n        prev_is_home = is_home(loc)\n\n    return trip_segments\n\ndef convert_LLEntry_LLImage(entries: List[LLEntry]):\n    \"\"\"Convert a list of LLEntries to LLImages\n    \"\"\"\n    image_entries = []\n    tabular_entries = []\n\n    for entry in tqdm(entries):\n        time = get_timestamp(entry)\n        loc = get_location(entry)\n\n        if entry.imageFilePath is not None and \\\n           len(entry.imageFilePath) > 0 and \\\n            os.path.exists(entry.imageFilePath):\n            try:\n                image_entries.append(LLImage(entry.imageFilePath, time, loc))\n            except:\n                print(\"Error when processing image:\" + entry.imageFilePath)\n        else:\n            # TODO: ignoring tabular entries for now\n            pass\n    return image_entries, tabular_entries\n\n\ndef create_trip_summary(entries: List[LLEntry]):\n    \"\"\"Compute a trip summary from a list of LLEntries.\n\n    Args:\n        entries (List[LLEntry]): all LLEntries within the trip\n\n    Returns:\n        Dictionary: a JSON object summarizing the trip\n    \"\"\"\n    ## Step 1: convert LLEntries to LLImages\n    print(\"Step 1: convert LLEntries to LLImages\")\n    converted_entries, tabular_db = convert_LLEntry_LLImage(entries)\n\n    ## Step 2: identify activities, days, and trips\n    print(\"Step 2: identify activities, days, and trips (also deduplicate)\")\n    segments = create_segments(converted_entries)\n\n    ## Step 3: process activities\n    print(\"Step 3: process activities\")\n    activity_index = {}\n    all_activities = []\n    for segment in segments:\n        for day in segment:\n            all_activities += day\n\n    for activity in tqdm(all_activities):\n        start_time = get_timestamp(activity[0])\n        start_time_str = datetime.datetime.fromtimestamp(start_time)\n        end_time = get_timestamp(activity[-1])\n        end_time_str = datetime.datetime.fromtimestamp(end_time)\n\n        location = get_location(activity)\n        activity_summary = LLEntrySummary(type=\"activity\", \n                                          startTime=start_time_str.isoformat(),\n                                          endTime=end_time_str.isoformat(),\n                                          locations=[location],\n                                          text_summary=\"%d:00 to %d:00, %s\" % (start_time_str.hour, end_time_str.hour, start_time_str.strftime(\"%B %d, %Y\")), # summarize_activity(activity),\n                                          photo_summary=create_image_summary(activity),\n                                          stats={\"num_photos\": len(activity)},\n                                          objects=organize_images_by_tags(activity),\n                                          source=\"derived\")\n\n        activity_index[start_time] = activity_summary\n\n    import pprint\n    # pp = pprint.PrettyPrinter(indent=2)\n    # for activity in list(activity_index.values()):\n    #     if activity.stats['num_photos'] >= 3:\n    #         pp.pprint(vars(activity))\n            # visualize(activity['photo_summary'])\n\n    ## Step 4: process days\n    print(\"Step 4: process days\")\n    daily_index = {}\n    all_days = []\n    for segment in segments:\n        all_days += segment\n    for day in tqdm(all_days):\n        start, end = get_start_end_location(day)\n        if start == end:\n            locations = [start]\n        else:\n            locations = [start, end]\n\n        date_str = datetime.datetime.fromtimestamp(get_timestamp(day)).date()\n        day_summary = LLEntrySummary(type=\"day\", \n                                     startTime=date_str.isoformat(),\n                                     endTime=date_str.isoformat(), # should be the next day?\n                                     locations=locations,\n                                     text_summary=date_str.strftime(\"%B %d, %Y\"), # summarize_day(day, activity_index),\n                                     photo_summary=create_image_summary(sum(day, [])),\n                                     stats={\"num_photos\": sum([len(act) for act in day]),\n                                            \"num_activities\": len(day)},\n                                     objects=organize_images_by_tags(sum(day, [])),\n                                     source=\"derived\")\n\n        daily_index[date_str] = day_summary\n\n    # pretty print the results\n    # for day in list(daily_index.values()):\n    #     if day.stats['num_photos'] >= 3:\n    #         pp.pprint(vars(day))\n            # visualize(day['photo_summary'])\n\n    ## Step 5: process trips (segments)\n    print(\"Step 5: process trips\")\n    trip_index = {}\n    for segment in tqdm(segments):\n        loc = get_location(segment[0])\n        total_photos = 0\n\n        # if the segment is a trip\n        if not is_home(loc):\n            start_date = datetime.datetime.fromtimestamp(get_timestamp(segment[0]))\n            start_date_str = start_date.date()\n            end_date = datetime.datetime.fromtimestamp(get_timestamp(segment[-1]))\n            end_date_str = end_date.date()\n            itinerary = []\n            locations = []\n            photo_summary = []\n\n            i = 0\n            while i < len(segment):\n                loc = get_location(segment[i])\n                locations.append(loc)\n                start_index = i\n                date_str = datetime.datetime.fromtimestamp(get_timestamp(segment[i])).date()\n                itin_entry = {'location': loc, 'start': date_str, 'end': date_str}\n                while i+1 < len(segment) and get_location(segment[i+1]) == loc:\n                    i += 1\n                itin_entry['end'] = datetime.datetime.fromtimestamp(get_timestamp(segment[i])).date()\n                end_index = i\n                segment_photos = sum(sum(segment[start_index:end_index+1], []), [])\n                total_photos += len(segment_photos)\n                itin_entry['photo_summary'] = create_image_summary(segment_photos)\n                if len(photo_summary) == 0:\n                    photo_summary = itin_entry['photo_summary']\n                itinerary.append(itin_entry)\n                i += 1\n\n            num_days = (end_date.date() - start_date.date()).days + 1\n\n            # TODO: handle itinerary\n            trip_summary = LLEntrySummary(type=\"trip\", \n                                     startTime=start_date_str.isoformat(),\n                                     endTime=end_date_str.isoformat(),\n                                     locations=locations,\n                                     text_summary=trip_data_to_text(locations, start_date, num_days),\n                                     photo_summary=photo_summary,\n                                     stats={\"num_photos\": total_photos,\n                                            \"days\": num_days},\n                                     objects={},\n                                     source=\"derived\")\n\n            trip_index[start_date_str] = trip_summary\n\n    # for trip in list(trip_index.values()):\n    #     pp.pprint(vars(trip))\n\n    return activity_index, daily_index, trip_index\n\n\nif __name__ == '__main__':\n    db = PersonalDataDBConnector()\n    res = db.search_personal_data(select_cols=\"enriched_data\", where_conditions={\"enriched_data\": \"is not NULL\"})\n    entries = []\n    for row in res.fetchall():\n        entry = pickle.loads(row[0])\n        entries.append(entry)\n\n    entries.sort(key=lambda x: get_timestamp(x))\n    entries = entries# [:50]\n    activity_index, daily_index, trip_index = create_trip_summary(entries)\n\n    pickle.dump(activity_index, open(\"personal-data/app_data/activity_index.pkl\", \"wb\"))\n    pickle.dump(daily_index, open(\"personal-data/app_data/daily_index.pkl\", \"wb\"))\n    pickle.dump(trip_index, open(\"personal-data/app_data/trip_index.pkl\", \"wb\"))\n"
  },
  {
    "path": "src/ingest/workflow.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport json\nimport os\n\nfrom src.common.persistence.personal_data_db import PersonalDataDBConnector\nfrom src.ingest.enrichment.geo_enrichment import LocationEnricher\nfrom src.ingest.enrichment.image_enrichment import ImageEnricher\n\nfrom src.ingest.export.export_entities import PhotoExporter\nfrom src.ingest.importers.generic_importer_workflow import GenericImportOrchestrator\n\n# Workflow is as follows:\n# After data is downloaded in respective folders:\n# For photos:\n# 1. Generate Captions for images\n# 2. Run import to generate input entity (takes caption as input)\n# 3. Run enrichment functions (geo, image_dedup etc.)\n# 4. Export to daily index -> Some Storage TBD\n# 5. Generate Summaries -> Some Storage TBD\nif __name__ == '__main__':\n    action_arr = []\n    print(\"--------------Data Import Start--------------\")\n    gip = GenericImportOrchestrator()\n    if os.getenv(\"ingest_new_data\") is not None and os.environ[\"ingest_new_data\"] != ''\\\n            and os.environ[\"ingest_new_data\"] == \"True\":\n        print(\"Ingest new Data is set to true\")\n        gip.start_import()\n    # Enrich Location after import is complete\n    action_arr.append(\"geo_enrich\")\n    action_arr.append(\"image_enrich\")\n    action_arr.append(\"export\")\n    if len(action_arr)==0:\n        print(\"No new import task.\")\n    for action in action_arr:\n        if action == 'geo_enrich':\n            print(\"Running Location enrichment now...\")\n            le = LocationEnricher()\n            if os.getenv(\"incremental_geo_enrich\") is not None and os.environ[\"incremental_geo_enrich\"]!='':\n                geoenrich_increments = True if os.environ[\"incremental_geo_enrich\"] == \"True\" else False\n                le.enrich(geoenrich_increments)\n            else:\n                le.enrich()\n            print(\"Location enrichment complete\")\n        if action == 'image_enrich':\n            print(\"Running Image enrichment now...\")\n            # sleep(2)\n            le = ImageEnricher()\n            if os.getenv(\"incremental_image_enrich\") is not None and os.environ[\"incremental_image_enrich\"]!='':\n                image_enrich_increments = True if os.environ[\"incremental_image_enrich\"] == \"True\" else False\n                le.enrich(image_enrich_increments)\n            else:\n                le.enrich()\n            print(\"Image enrichment complete\")\n        if action == 'export':\n            print(\"Exporting enriched data to enriched_data...\")\n            ex = PhotoExporter()\n            if os.getenv(\"incremental_export\") is not None and os.environ[\"incremental_export\"]!='':\n                export_increments = True if os.environ[\"incremental_export\"] == \"True\" else False\n                print(\"Incremental Export flag is set to \", export_increments)\n                ex.create_export_entity(export_increments)\n            else:\n                ex.create_export_entity()\n            print(\"Merge Complete. Enriched entities pushed to enriched_data column\")\n            # if os.getenv(\"export_enriched_data_to_json\") is not None\\\n            #         and os.environ[\"export_enriched_data_to_json\"] == \"True\":\n            if os.getenv(\"enriched_data_to_json\") is not None\\\n                    and os.environ[\"enriched_data_to_json\"] == \"True\":\n                export_path = os.path.join(os.environ[\"APP_DATA_DIR\"], 'enriched_data.json')\n                json.dump(ex.get_all_data(), open(export_path, \"w\"))\n                print(\"Data exported as json to\", export_path)\n\n    # Print Import Summary\n    print(\"------------------------------------------------\")\n    print(\"--------------Data Stats By Source--------------\")\n    print(\"------------------------------------------------\")\n    PersonalDataDBConnector().print_data_stats_by_source()\n    print(\"--------------Data Import Complete--------------\")"
  },
  {
    "path": "src/init.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nfrom pathlib import Path\nimport json\nimport os\nfrom src.common.objects.import_configs import DataSourceList\n\nbootstrap_file = \"src/common/bootstrap/data_source.json\"\ncwd = str(Path().absolute())\nbootstrap_file = cwd + \"/\" + bootstrap_file\nwith open(bootstrap_file, 'r') as f1:\n    r = f1.read()\n    json_data = json.loads(r)\n    #Create Python Class Object from Json\n    ds_list = DataSourceList(json_data)\n    for entry in ds_list.data_sources:\n        dir_for_reading_input = entry.configs.input_directory\n        if not os.path.exists(dir_for_reading_input):\n            os.makedirs(dir_for_reading_input, exist_ok=True)\n        else:\n            print(dir_for_reading_input, \"already exists!\")"
  },
  {
    "path": "src/init.sh",
    "content": "#! /bin/bash\nmkdir -p ~/personal-data/app_data/static\n# cp src/frontend/static/* ~/personal-data/app_data/static/.\nln -s ~/personal-data\nmkdir env\ntouch env/ingest.env.list\ntouch env/frontend.env.list\npython -m src.init"
  },
  {
    "path": "src/qa/Dockerfile",
    "content": "FROM python:3.10.4\n\nWORKDIR /app\n\nCOPY src/requirements.txt .\nRUN python -m pip install wheel setuptools pip --upgrade\nRUN --mount=type=cache,target=/root/.cache \\\n    pip install -r requirements.txt\n\nCOPY sample_data public/digital_data\nCOPY src/qa/*.py .\nCOPY src/qa/posttext posttext\n\nCMD [\"python\", \"server.py\"]\n"
  },
  {
    "path": "src/qa/README.md",
    "content": "## Installing dependencies\n\nCreate and activate a new conda env:\n```\nconda create -n digital_data python=3.10\nconda activate digital_data\n```\n\nInstall python packages:\n```\npip install -r requirements.txt\n```\n\n## To start the Flask backend\n\n```\npython server.py\n```\n\nYou can test the backend by curl\n```\ncurl http://127.0.0.1:8085/test\n```\n\nYou should get:\n```\n{\n  \"message\": \"okay\"\n}\n```"
  },
  {
    "path": "src/qa/chatgpt_engine.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nfrom langchain.chat_models import ChatOpenAI\nfrom langchain.prompts import (\n    ChatPromptTemplate, \n    MessagesPlaceholder, \n    SystemMessagePromptTemplate, \n    HumanMessagePromptTemplate\n)\nfrom langchain.chains import ConversationChain\nfrom langchain.chat_models import ChatOpenAI\nfrom langchain.memory import ConversationBufferMemory\n\nclass ChatGPTEngine:\n    def __init__(self):\n        self.llm = ChatOpenAI()\n        # self.messages = []\n\n        prompt = ChatPromptTemplate.from_messages([\n            SystemMessagePromptTemplate.from_template(\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\"),\n            MessagesPlaceholder(variable_name=\"chat_history\"),\n            HumanMessagePromptTemplate.from_template(\"{input}\")\n        ])\n\n        self.memory = ConversationBufferMemory(return_messages=True, memory_key=\"chat_history\")\n        self.chain = ConversationChain(memory=self.memory, prompt=prompt, llm=self.llm)\n\n    def query(self, message):\n        try:\n            return self.chain.predict(input=message)\n        except Exception as e:\n            return str(e)"
  },
  {
    "path": "src/qa/posttext/README.md",
    "content": "# PostText\n\nCreate and activate a new conda env:\n```\nconda create -n posttext python=3.10\nconda activate posttext\n```\n\nInstall nodejs and yarn:\n```\nconda install -c conda-forge nodejs==18.10.0 yarn\n```\n\nInstall some react libraries:\n```\nnpm install primereact primeicons\nnpm install react-syntax-highlighter\n```\n\nInstall python packages (for backend):\n```\nconda install --file requirements.txt\n```\n\n### To build and start the React frontend\n\n```\ncd frontend/\nyarn\nyarn build\nyarn start\n```\n\nThe homepage should be available at `http://localhost:3000/`. \n\nThe frontend code is at `frontend/src/App.js`.\n\n## To start the Flask backend\n\nTo run the backend, you will need to set up an OpenAI API [here](https://openai.com/api/).\n\nAfter that, add the API key to your env variables:\n\n```\nexport OPENAI_API_KEY=<api_key_goes_here>\n```\n\n```\npython server.py\n```\n\nYou can test the backend by curl\n```\ncurl http://127.0.0.1:5000/test\n```\n\nYou should get:\n```\n{\n  \"message\": \"okay\"\n}\n```\n\n## To prepare a new dataset for querying by posttext, you need to set up a few things:\n\nThe following assumes you have a dataset (in csv) you wish to query and a number of views (in csv) over the dataset. \nAll the files reside in the same directory. There should be a config.ini file in the same directory. \nYou can copy the config.ini file from TimelineQA to this directory. If you do not have a config.ini file, execute the following command to create one.\n\n```\npython util/create_config_file.py\n```\n\n### Describe your views in a file:\n\nCreate a file that contains a description of your views so that posttext knows how to leverage the views. For example, the description of views for TimelineQA dataset is described in TimelineQA/views_metadata.txt\n\nAfter you have completed the description, specify the path of your description file in config.ini under [input] --> \"views_metadata\".\n\n### Create an index of the metadata:\n\nCreate an index of embeddings of your metadata description. To do this, execute:\n\n```\npython create_metadata_idx.py <views_description file from above> <your config.ini file> <output_file_name>\n```\n\nFor example:\n\n```\npython create_metadata_idx.py views_metadata.txt config.ini views_idx.csv\n```\n\nThis command only needs to be executed once. After the views_idx.csv file is created, PostText will read from the idx file. Specify the path of your index file in config.ini under [input] --> \"views_metadata_idx\".\n\n\n### Create views db in sqlite from csv files:\n\nAssuming your views are described in .csv files, update the script \"create_db.sql\" to import the views you have.\nYou will need to specify the schema before you execute import statements in create_db.sql. For SQLite, specify TEXT for date types. \n\nAfter this, execute:\n```\n```rm -f views_db.sqlite;sqlite3 views_db.sqlite \".read create_db.sql\"```\n```\n\nThis will create a views_db.sqlite file by importing data from your csv files. Once you have the file views_db.sqlite, you will not need to run this command again. PostText will read views_db.sqlite to access the views.\n\nSpecify the path of views_db.sqlite in config.ini under [input] --> \"views_db\".\n\n### Create a vectorstore of embeddings of the dataset:\n\nTo do this execute:\n```\npython data2vectorstore.py <your dataset csv filename>\n```\n\nThis command will generate a file called output.pkl. You can move this file to a suitable directory and specify the path of this file in config.ini under [input] --> \"source_idx\". Once you have this file, you do not need to execute this command again.\n\n### Create a vectorstore of embeddings of the dataset:\nMake sure your PYTHONPATH contains the root directory of posttext.\nFor example:\n\n```\necho PYTHONPATH = \"${PYTHONPATH}:<path to root of posttext dir where src and util are subdirectories>\"\n```\n"
  },
  {
    "path": "src/qa/posttext/__init__.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\n# from src import *"
  },
  {
    "path": "src/qa/posttext/config.ini",
    "content": "[embedding_model]\nmodel = text-embedding-ada-002\nencoding = cl100k_base\nmax_tokens = 8000\n\n[codex]\nmodel = code-davinci-002\ntemperature = 0\nmax_tokens = 200\ntop_p = 1\nfrequency_penalty = 0\npresence_penalty = 0\n\n[RAG]\nqa_model = text-davinci-003\ntemperature = 0.5\nmax_tokens = 256\ntop_p = 1\nfrequency_penalty = 0\npresence_penalty = 0\ntopk = 3\n\n[rag_prompt] \nprompt = \"Use the following pieces of context and general knowledge to answer the question at the end. If the question cannot be answered with the context, ignore the context and answer with general knowledge. If you don't know the answer, just say that you don't know, don't try to make up an answer. \\n\\n{context}\\n\\nQuestion: {question} \\nAnswer:\"\n\n[sql_prompt]\nprompt_basic = # Table name: {tablename}\\n# Table schema: {schema}\n\t# Table description: {table_desc}\n\t#\n\t# Given the above table, schema, and description, write an SQLite query to answer the following query. The format of dates is in YYYY-MM-DD. For a range between two dates d1 and d2, use 'BETWEEN d1 and d2'.\n\t#\n\t# {question}\n\tSELECT\nprompt = # Table name: {tablename}\n\t# Table schema: {schema}\n\t# Table description: {table_desc}\n\t#\n\t# Example rows:\n\t#\n\t#\n\t{example}\n\t#\n\t# Given the above table, schema, and description, write an SQLite query to answer the question below. The format of dates is in YYYY-MM-DD. For a range between two dates d1 and d2, use 'BETWEEN d1 and d2'. {additional_context} Avoid using the attribute eid.\n\t#\n\t# {question}\n\tSELECT\n\n[input]\nviews_metadata = views_metadata.txt\nviews_metadata_idx = views_idx-openai_embeddings.csv\nviews_db = views_db.sqlite\nqueryfile = \nsource_idx = timeline.pkl\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/annual_medical_care-log.csv",
    "content": "eid,date,for_whom,type_of_care\ne40568,2022/11/04,child_medical_care,annual vision checkup\ne40567,2022/09/16,child_medical_care,annual physical checkup\ne40566,2022/06/14,child_medical_care,annual vision checkup\ne40565,2022/01/01,child_medical_care,annual dental cleaning and checkup\ne40564,2022/10/01,child_medical_care,annual physical checkup\ne40563,2022/06/09,personal_medical_care,annual vision checkup\ne40562,2022/07/17,personal_medical_care,annual dental cleaning and checkup\ne40561,2022/06/20,personal_medical_care,annual physical checkup\ne37202,2021/07/16,child_medical_care,annual dental cleaning and checkup\ne37201,2021/02/10,child_medical_care,annual physical checkup\ne37200,2021/07/26,child_medical_care,annual physical checkup\ne37199,2021/02/28,parent_medical_care,annual dental cleaning and checkup\ne37198,2021/12/26,parent_medical_care,annual physical checkup\ne37197,2021/10/11,personal_medical_care,annual vision checkup\ne37196,2021/08/03,personal_medical_care,annual dental cleaning and checkup\ne37195,2021/02/23,personal_medical_care,annual physical checkup\ne33801,2020/11/25,child_medical_care,annual vision checkup\ne33800,2020/06/21,child_medical_care,annual dental cleaning and checkup\ne33799,2020/05/04,child_medical_care,annual physical checkup\ne33798,2020/02/02,parent_medical_care,annual physical checkup\ne33797,2020/07/04,personal_medical_care,annual physical checkup\ne30435,2019/07/18,child_medical_care,annual vision checkup\ne30434,2019/12/13,child_medical_care,annual dental cleaning and checkup\ne30433,2019/04/12,child_medical_care,annual physical checkup\ne30432,2019/06/12,parent_medical_care,annual vision checkup\ne30431,2019/01/17,parent_medical_care,annual dental cleaning and checkup\ne30430,2019/12/04,parent_medical_care,annual physical checkup\ne30429,2019/04/18,personal_medical_care,annual dental cleaning and checkup\ne27015,2018/12/24,parent_medical_care,annual physical checkup\ne27014,2018/11/28,personal_medical_care,annual vision checkup\ne23626,2017/03/06,parent_medical_care,annual vision checkup\ne23625,2017/09/03,parent_medical_care,annual dental cleaning and checkup\ne23624,2017/11/14,parent_medical_care,annual physical checkup\ne23623,2017/11/13,personal_medical_care,annual dental cleaning and checkup\ne23622,2017/05/09,personal_medical_care,annual physical checkup\ne20257,2016/01/02,parent_medical_care,annual dental cleaning and checkup\ne20256,2016/01/12,parent_medical_care,annual physical checkup\ne20255,2016/08/22,personal_medical_care,annual dental cleaning and checkup\ne20254,2016/02/11,personal_medical_care,annual physical checkup\ne16909,2015/09/03,parent_medical_care,annual physical checkup\ne16908,2015/08/20,personal_medical_care,annual dental cleaning and checkup\ne16907,2015/07/02,personal_medical_care,annual physical checkup\ne13504,2014/07/03,parent_medical_care,annual dental cleaning and checkup\ne13503,2014/12/08,personal_medical_care,annual dental cleaning and checkup\ne13502,2014/05/15,personal_medical_care,annual physical checkup\ne10193,2013/10/11,parent_medical_care,annual vision checkup\ne10192,2013/02/07,parent_medical_care,annual physical checkup\ne10191,2013/04/05,personal_medical_care,annual physical checkup\ne6775,2012/07/10,parent_medical_care,annual physical checkup\ne6774,2012/01/06,personal_medical_care,annual vision checkup\ne6773,2012/10/08,personal_medical_care,annual dental cleaning and checkup\ne6772,2012/12/05,personal_medical_care,annual physical checkup\ne3398,2011/02/09,parent_medical_care,annual vision checkup\ne3397,2011/05/26,parent_medical_care,annual dental cleaning and checkup\ne3396,2011/11/18,parent_medical_care,annual physical checkup\ne3395,2011/05/24,personal_medical_care,annual dental cleaning and checkup\ne3394,2011/04/27,personal_medical_care,annual physical checkup\ne15,2010/01/18,parent_medical_care,annual dental cleaning and checkup\ne14,2010/07/16,parent_medical_care,annual physical checkup\ne13,2010/09/28,personal_medical_care,annual dental cleaning and checkup\ne12,2010/08/20,personal_medical_care,annual physical checkup\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/config.ini",
    "content": "[embedding_model]\r\nmodel = text-embedding-ada-002\r\nencoding = cl100k_base\r\nmax_tokens = 8000\r\n\r\n[Views]\r\nmodel_name = gpt-3.5-turbo\r\n\r\n[RAG]\r\nqa_model = gpt-3.5-turbo\r\ntemperature = 0\r\ntopk = 10\r\n\r\n[rag_prompt] \r\nprompt = \"Use the following pieces of context and general knowledge to answer the question at the end. If the question cannot be answered with the context, ignore the context and answer with general knowledge. If you don't know the answer, just say that you don't know, don't try to make up an answer. \\n\\n{context}\\n\\nQuestion: {question} \\nAnswer:\"\r\n\r\n[sql_prompt]\r\nprompt = # Table name: {tablename}\r\n\t# Table schema: {schema}\r\n\t# Table description: {table_desc}\r\n\t#\r\n\t# Example rows:\r\n\t#\r\n\t#\r\n\t{example}\r\n\t#\r\n        # Given the above table, schema, and description, write an aggregate SQLite query as necessary to answer the question below. The format of dates is in YYYY/MM/DD. For a range between two dates d1 and d2, use 'BETWEEN d1 and d2'. {additional_context} Avoid using the attribute eid. If an SQL query cannot be generated, please say \"Sorry, no result.\"\r\n\r\n\t#\r\n\t# {question}\r\n\tSELECT\r\n\r\n[input]\r\nsource_idx = timeline.pkl\r\nviews_db = views_db.sqlite\r\nviews_metadata = views_metadata.txt\r\nviews_metadata_idx = views_idx.csv\r\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/create_db.sql",
    "content": "PRAGMA page_size = 16384;\ncreate table annual_medical_care_log(eid TEXT PRIMARY KEY,date TEXT,for_whom TEXT,type_of_care TEXT);\ncreate table daily_chat_log(eid TEXT PRIMARY KEY,date TEXT,timeofday TEXT,howlong INTEGER,friends TEXT);\ncreate table daily_exercise_log(eid TEXT PRIMARY KEY,date TEXT,exercise TEXT,heart_rate INTEGER);\ncreate table daily_meal_log(eid TEXT PRIMARY KEY,date TEXT,mealtype TEXT,foodtype TEXT,people_string TEXT);\ncreate table daily_read_log(eid TEXT PRIMARY KEY,date TEXT,readtype TEXT,howlong INTEGER);\ncreate table daily_watchtv_log(eid TEXT PRIMARY KEY,date TEXT,watchtype TEXT,howlong INTEGER);\ncreate table marriages_log(eid TEXT PRIMARY KEY,married_date TEXT,partner_name TEXT,location TEXT);\ncreate table monthly_pet_care_log(eid TEXT PRIMARY KEY,date TEXT,pet_care_type TEXT);\ncreate table moves_log(eid TEXT PRIMARY KEY,date TEXT,type_of_move TEXT, destination TEXT);\ncreate table travel_log(eid TEXT PRIMARY KEY,start_date TEXT,end_date TEXT,city TEXT,people TEXT);\ncreate table travel_dining_log(eid TEXT PRIMARY KEY,start_date TEXT,end_date TEXT,city TEXT,dining_date TEXT,food_type TEXT,food_location TEXT,place_visit_date TEXT,place TEXT,people TEXT,action TEXT,emotion TEXT);\ncreate table travel_places_visited_log(eid TEXT PRIMARY KEY,start_date TEXT,end_date TEXT,city TEXT,place_visit_date TEXT,place TEXT, people TEXT,action TEXT,emotion TEXT);\ncreate table weekly_bakeorcook_log(eid TEXT PRIMARY KEY,date TEXT,cuisine TEXT,location TEXT,people TEXT);\ncreate table weekly_dating_log(eid TEXT PRIMARY KEY,date TEXT,people_string TEXT,location TEXT);\ncreate table weekly_grocery_log(eid TEXT PRIMARY KEY,date TEXT,fruits TEXT,drinks TEXT,toiletries TEXT,people_string TEXT);\ncreate table weekly_hobby_log(eid TEXT PRIMARY KEY,date TEXT,hobbies TEXT,people_string TEXT);\n\n.mode csv\n.import annual_medical_care-log.csv annual_medical_care_log --skip 1\n.import daily_meal-log.csv  daily_meal_log --skip 1\n.import marriages-log.csv  marriages_log --skip 1\n.import travel_places_visited-log.csv  travel_places_visited_log --skip 1\n.import weekly_dating-log.csv  weekly_dating_log --skip 1\n.import daily_chat-log.csv  daily_chat_log --skip 1\n.import daily_read-log.csv  daily_read_log --skip 1\n.import monthly_pet_care-log.csv  monthly_pet_care_log --skip 1 \n.import travel-log.csv  travel_log --skip 1\n.import weekly_grocery-log.csv  weekly_grocery_log --skip 1\n.import daily_exercise-log.csv  daily_exercise_log --skip 1\n.import daily_watchtv-log.csv  daily_watchtv_log --skip 1\n.import moves-log.csv   moves_log --skip 1\n.import travel_dining-log.csv   travel_dining_log --skip 1\n.import weekly_bakeorcook-log.csv   weekly_bakeorcook_log --skip 1   \n.import weekly_hobby-log.csv   weekly_hobby_log --skip 1\n\n\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/daily_chat-log.csv",
    "content": "eid,date,timeofday,howlong,friends\ne207,2010/01/01,late in the evening,6,Rylee\ne208,2010/01/01,in the late afternoon,36,\"Nevaeh, Avery, Nora, Piper\"\ne215,2010/01/02,in the morning,31,\"Avery, Lydia, Hazel, Nevaeh\"\ne216,2010/01/02,in the morning,21,\"Avery, Rylee\"\ne217,2010/01/02,in the early afternoon,27,\"Rylee, Piper, Olivia, Claire\"\ne224,2010/01/03,in the morning,29,Layla\ne225,2010/01/03,in the early afternoon,32,\"Piper, Rylee, Piper\"\ne226,2010/01/03,in the late afternoon,7,\"Rylee, Lydia\"\ne233,2010/01/04,during lunch hours,24,\"Avery, Layla, Olivia, Piper\"\ne234,2010/01/04,in the late afternoon,52,\"Kinsley, Eva\"\ne235,2010/01/04,during lunch hours,27,\"Nevaeh, Rylee\"\ne236,2010/01/04,in the early afternoon,50,\"Piper, Eva, Olivia\"\ne243,2010/01/05,during lunch hours,38,\"Piper, Eva, Lydia, Nora\"\ne244,2010/01/05,in the early evening,41,\"Rylee, Nora\"\ne251,2010/01/06,during lunch hours,21,\"Avery, Olivia, Layla, Nora\"\ne257,2010/01/07,late in the evening,50,\"Rylee, Nevaeh, Layla\"\ne258,2010/01/07,in the early afternoon,16,Eva\ne265,2010/01/08,in the early afternoon,47,\"Piper, Lydia, Rylee\"\ne266,2010/01/08,in the late afternoon,20,\"Lydia, Piper\"\ne267,2010/01/08,in the early afternoon,38,\"Piper, Eva, Lydia\"\ne274,2010/01/09,in the early afternoon,13,\"Layla, Avery, Olivia\"\ne275,2010/01/09,in the early afternoon,18,\"Nevaeh, Layla\"\ne276,2010/01/09,in the late afternoon,43,\"Avery, Rylee, Nora, Claire\"\ne283,2010/01/10,in the early evening,51,\"Avery, Layla, Eva\"\ne284,2010/01/10,in the early evening,15,Lydia\ne285,2010/01/10,late in the evening,40,\"Piper, Kinsley, Rylee, Olivia\"\ne292,2010/01/11,in the morning,42,\"Layla, Rylee, Eva\"\ne293,2010/01/11,in the early afternoon,30,\"Lydia, Hazel, Claire, Avery\"\ne294,2010/01/11,late in the evening,45,\"Lydia, Eva, Piper, Nora\"\ne301,2010/01/12,in the early afternoon,15,\"Nora, Olivia, Piper, Avery\"\ne302,2010/01/12,during lunch hours,17,\"Piper, Hazel, Claire\"\ne309,2010/01/13,during lunch hours,22,\"Hazel, Eva, Lydia, Claire\"\ne316,2010/01/14,in the early evening,23,Piper\ne317,2010/01/14,during lunch hours,50,\"Claire, Layla\"\ne318,2010/01/14,in the morning,11,\"Rylee, Eva, Piper, Olivia\"\ne325,2010/01/15,in the early evening,14,\"Lydia, Eva\"\ne326,2010/01/15,late in the evening,6,\"Piper, Avery\"\ne333,2010/01/16,late in the evening,39,Piper\ne334,2010/01/16,in the late afternoon,54,\"Nora, Kinsley, Olivia, Hazel\"\ne335,2010/01/16,in the early afternoon,42,\"Eva, Nora, Olivia, Lydia\"\ne342,2010/01/17,in the early evening,55,\"Eva, Kinsley, Layla\"\ne343,2010/01/17,in the early evening,40,\"Nora, Piper, Nevaeh\"\ne350,2010/01/18,in the morning,36,\"Hazel, Rylee\"\ne351,2010/01/18,in the morning,17,\"Piper, Layla, Olivia\"\ne352,2010/01/18,in the early afternoon,30,\"Nevaeh, Hazel, Avery\"\ne359,2010/01/19,in the morning,8,\"Nora, Layla\"\ne360,2010/01/19,late in the evening,46,\"Rylee, Nora\"\ne367,2010/01/20,during lunch hours,42,\"Layla, Hazel\"\ne368,2010/01/20,in the early afternoon,8,\"Nevaeh, Nora\"\ne375,2010/01/21,late in the evening,9,\"Eva, Piper, Kinsley\"\ne376,2010/01/21,in the early evening,38,\"Piper, Piper, Eva, Nora\"\ne377,2010/01/21,in the early afternoon,34,\"Lydia, Olivia, Rylee, Piper\"\ne384,2010/01/22,in the late afternoon,29,Piper\ne385,2010/01/22,in the early afternoon,29,Claire\ne386,2010/01/22,in the early afternoon,54,Eva\ne392,2010/01/23,late in the evening,41,\"Hazel, Nora\"\ne393,2010/01/23,during lunch hours,6,Nora\ne394,2010/01/23,in the early afternoon,53,\"Rylee, Hazel, Layla, Nora\"\ne401,2010/01/24,in the late afternoon,53,\"Kinsley, Nevaeh, Layla\"\ne402,2010/01/24,in the late afternoon,33,\"Kinsley, Avery\"\ne409,2010/01/25,in the late afternoon,44,\"Rylee, Piper, Piper\"\ne410,2010/01/25,during lunch hours,5,Olivia\ne411,2010/01/25,late in the evening,12,\"Avery, Claire, Olivia, Eva\"\ne418,2010/01/26,in the morning,29,Eva\ne425,2010/01/27,in the morning,11,Nora\ne426,2010/01/27,in the late afternoon,37,\"Layla, Eva, Rylee, Nevaeh\"\ne427,2010/01/27,late in the evening,11,\"Nevaeh, Piper, Eva, Layla\"\ne433,2010/01/28,late in the evening,29,Piper\ne434,2010/01/28,late in the evening,40,\"Layla, Nora, Avery, Lydia\"\ne435,2010/01/28,in the early evening,29,\"Avery, Lydia, Claire, Nevaeh\"\ne436,2010/01/28,during lunch hours,49,Layla\ne443,2010/01/29,in the early evening,24,\"Kinsley, Rylee\"\ne444,2010/01/29,in the early evening,30,\"Eva, Kinsley, Layla, Nevaeh\"\ne445,2010/01/29,in the morning,17,\"Eva, Piper\"\ne446,2010/01/29,in the late afternoon,43,Eva\ne453,2010/01/30,during lunch hours,8,\"Avery, Hazel, Claire\"\ne454,2010/01/30,during lunch hours,12,\"Piper, Eva\"\ne455,2010/01/30,in the morning,30,\"Lydia, Layla, Nevaeh\"\ne462,2010/01/31,in the early evening,9,Avery\ne463,2010/01/31,in the late afternoon,16,\"Piper, Rylee, Layla\"\ne470,2010/02/01,in the early evening,25,\"Piper, Olivia\"\ne477,2010/02/02,in the early evening,13,\"Nora, Lydia, Olivia\"\ne478,2010/02/02,in the early evening,49,\"Piper, Layla, Nevaeh\"\ne479,2010/02/02,late in the evening,14,\"Nevaeh, Piper, Hazel\"\ne480,2010/02/02,in the late afternoon,10,Nevaeh\ne487,2010/02/03,in the morning,9,\"Nevaeh, Piper, Layla, Claire\"\ne488,2010/02/03,late in the evening,18,Olivia\ne489,2010/02/03,in the early evening,5,Claire\ne496,2010/02/04,in the morning,42,\"Eva, Kinsley\"\ne497,2010/02/04,in the late afternoon,8,\"Eva, Lydia, Nora, Kinsley\"\ne504,2010/02/05,in the early afternoon,22,\"Hazel, Piper, Kinsley\"\ne505,2010/02/05,late in the evening,6,\"Lydia, Layla, Piper, Olivia\"\ne512,2010/02/06,in the late afternoon,12,\"Lydia, Olivia\"\ne513,2010/02/06,in the early evening,6,Piper\ne514,2010/02/06,in the early afternoon,48,\"Layla, Claire\"\ne520,2010/02/07,late in the evening,42,\"Piper, Piper\"\ne521,2010/02/07,in the late afternoon,22,\"Kinsley, Layla\"\ne528,2010/02/08,in the early evening,41,Rylee\ne529,2010/02/08,late in the evening,12,Eva\ne536,2010/02/09,in the morning,54,\"Avery, Hazel, Lydia, Piper\"\ne537,2010/02/09,in the early afternoon,54,\"Eva, Hazel, Piper\"\ne544,2010/02/10,in the early afternoon,53,\"Eva, Hazel, Claire\"\ne551,2010/02/11,in the early evening,8,Piper\ne552,2010/02/11,late in the evening,10,\"Lydia, Claire, Nevaeh\"\ne553,2010/02/11,in the morning,15,\"Olivia, Kinsley\"\ne559,2010/02/12,in the early afternoon,15,\"Avery, Lydia, Piper\"\ne560,2010/02/12,in the late afternoon,55,\"Lydia, Piper, Hazel, Olivia\"\ne566,2010/02/13,late in the evening,10,Nora\ne567,2010/02/13,in the early evening,41,\"Rylee, Eva, Hazel\"\ne568,2010/02/13,in the early evening,35,Kinsley\ne574,2010/02/14,in the morning,55,\"Piper, Lydia, Claire, Avery\"\ne575,2010/02/14,in the early evening,31,\"Olivia, Piper, Rylee, Eva\"\ne576,2010/02/14,late in the evening,40,Nevaeh\ne582,2010/02/15,in the late afternoon,29,\"Avery, Nevaeh\"\ne583,2010/02/15,in the early evening,53,\"Hazel, Nevaeh, Eva, Piper\"\ne584,2010/02/15,in the early afternoon,36,\"Rylee, Hazel, Layla\"\ne590,2010/02/16,in the early afternoon,25,\"Avery, Claire, Layla, Hazel\"\ne591,2010/02/16,during lunch hours,42,\"Layla, Piper, Lydia\"\ne597,2010/02/17,in the late afternoon,27,\"Avery, Nora\"\ne598,2010/02/17,in the early evening,43,Avery\ne599,2010/02/17,in the late afternoon,51,Nevaeh\ne605,2010/02/18,in the late afternoon,42,\"Nora, Nevaeh\"\ne606,2010/02/18,during lunch hours,17,\"Eva, Nevaeh\"\ne607,2010/02/18,late in the evening,8,\"Avery, Rylee, Layla, Nevaeh\"\ne614,2010/02/19,during lunch hours,37,Lydia\ne615,2010/02/19,late in the evening,17,\"Layla, Eva, Piper\"\ne616,2010/02/19,during lunch hours,41,\"Claire, Layla, Piper, Kinsley\"\ne623,2010/02/20,during lunch hours,40,\"Hazel, Piper, Claire, Rylee\"\ne624,2010/02/20,late in the evening,34,\"Olivia, Kinsley, Claire\"\ne625,2010/02/20,late in the evening,29,Nora\ne632,2010/02/21,late in the evening,46,\"Nora, Avery, Layla, Piper\"\ne633,2010/02/21,in the late afternoon,50,\"Nora, Lydia, Nevaeh\"\ne634,2010/02/21,in the morning,47,Avery\ne641,2010/02/22,in the morning,55,\"Piper, Lydia\"\ne642,2010/02/22,in the early afternoon,46,Piper\ne643,2010/02/22,during lunch hours,49,\"Piper, Layla, Claire, Eva\"\ne650,2010/02/23,in the early evening,41,\"Claire, Piper, Avery\"\ne651,2010/02/23,during lunch hours,12,\"Avery, Claire, Rylee\"\ne652,2010/02/23,in the early afternoon,28,\"Nora, Avery\"\ne659,2010/02/24,in the early evening,26,\"Olivia, Kinsley, Piper, Avery\"\ne660,2010/02/24,during lunch hours,15,Olivia\ne661,2010/02/24,in the late afternoon,36,\"Olivia, Layla, Avery, Piper\"\ne662,2010/02/24,in the morning,12,\"Piper, Kinsley\"\ne669,2010/02/25,in the morning,41,Kinsley\ne670,2010/02/25,in the early afternoon,42,\"Piper, Piper\"\ne677,2010/02/26,in the early afternoon,35,Hazel\ne678,2010/02/26,during lunch hours,45,\"Claire, Avery\"\ne685,2010/02/27,in the late afternoon,10,\"Hazel, Olivia, Layla, Kinsley\"\ne686,2010/02/27,in the morning,30,\"Lydia, Claire, Eva\"\ne687,2010/02/27,during lunch hours,7,\"Rylee, Olivia, Kinsley, Hazel\"\ne688,2010/02/27,during lunch hours,42,\"Nevaeh, Rylee, Lydia, Claire\"\ne695,2010/02/28,in the early evening,52,\"Piper, Nora, Layla, Olivia\"\ne696,2010/02/28,in the early evening,21,\"Avery, Claire, Piper\"\ne697,2010/02/28,in the early afternoon,50,\"Hazel, Claire, Piper\"\ne704,2010/03/01,in the early evening,44,\"Hazel, Claire\"\ne711,2010/03/02,late in the evening,5,\"Lydia, Nora, Nevaeh, Hazel\"\ne712,2010/03/02,in the late afternoon,42,Lydia\ne719,2010/03/03,in the early evening,50,\"Nevaeh, Lydia\"\ne720,2010/03/03,during lunch hours,55,\"Piper, Nevaeh, Olivia\"\ne721,2010/03/03,during lunch hours,32,Piper\ne728,2010/03/04,late in the evening,21,\"Avery, Layla, Lydia, Piper\"\ne729,2010/03/04,in the morning,29,\"Layla, Rylee\"\ne730,2010/03/04,in the early evening,52,\"Claire, Piper, Olivia, Kinsley\"\ne737,2010/03/05,in the early afternoon,15,\"Avery, Piper, Nevaeh\"\ne738,2010/03/05,in the late afternoon,42,\"Layla, Olivia, Nevaeh\"\ne739,2010/03/05,in the morning,52,\"Kinsley, Hazel, Nora, Piper\"\ne746,2010/03/06,in the early evening,30,Piper\ne747,2010/03/06,in the early afternoon,30,\"Lydia, Layla\"\ne748,2010/03/06,late in the evening,18,\"Hazel, Eva, Lydia, Olivia\"\ne755,2010/03/07,during lunch hours,52,Avery\ne756,2010/03/07,during lunch hours,34,\"Layla, Piper\"\ne757,2010/03/07,in the morning,26,\"Layla, Lydia, Kinsley, Piper\"\ne764,2010/03/08,in the late afternoon,20,\"Eva, Hazel, Claire\"\ne771,2010/03/09,late in the evening,8,\"Layla, Nevaeh\"\ne772,2010/03/09,in the early evening,10,\"Olivia, Rylee, Hazel\"\ne773,2010/03/09,in the early afternoon,32,\"Claire, Olivia\"\ne780,2010/03/10,in the early evening,37,Eva\ne781,2010/03/10,in the morning,18,Piper\ne782,2010/03/10,during lunch hours,8,Eva\ne783,2010/03/10,in the morning,39,\"Lydia, Piper\"\ne790,2010/03/11,in the early afternoon,5,Avery\ne791,2010/03/11,in the morning,49,Olivia\ne798,2010/03/12,in the morning,42,\"Rylee, Olivia, Avery, Nora\"\ne799,2010/03/12,in the early afternoon,48,\"Eva, Piper, Nevaeh, Piper\"\ne800,2010/03/12,late in the evening,12,\"Claire, Olivia\"\ne807,2010/03/13,in the late afternoon,50,Kinsley\ne808,2010/03/13,in the early evening,36,\"Hazel, Nevaeh, Olivia\"\ne809,2010/03/13,in the late afternoon,35,Eva\ne816,2010/03/14,in the morning,11,\"Olivia, Nevaeh, Piper\"\ne817,2010/03/14,in the morning,51,\"Rylee, Eva\"\ne818,2010/03/14,in the morning,44,\"Nora, Olivia, Piper, Layla\"\ne824,2010/03/15,in the morning,5,Nevaeh\ne825,2010/03/15,in the early evening,19,\"Nora, Rylee, Claire\"\ne831,2010/03/16,in the late afternoon,7,Piper\ne838,2010/03/17,in the morning,55,Avery\ne839,2010/03/17,in the early afternoon,32,\"Layla, Nora, Rylee\"\ne840,2010/03/17,in the late afternoon,23,Piper\ne841,2010/03/17,in the early evening,19,\"Eva, Avery, Hazel, Rylee\"\ne847,2010/03/18,late in the evening,30,\"Piper, Eva, Claire, Nora\"\ne848,2010/03/18,in the early afternoon,36,\"Olivia, Layla, Hazel, Piper\"\ne849,2010/03/18,in the early afternoon,25,Avery\ne856,2010/03/19,in the early evening,33,Avery\ne857,2010/03/19,in the morning,17,Olivia\ne864,2010/03/20,during lunch hours,8,Avery\ne865,2010/03/20,late in the evening,24,Nora\ne866,2010/03/20,in the late afternoon,39,Piper\ne873,2010/03/21,in the early evening,45,\"Kinsley, Piper\"\ne874,2010/03/21,during lunch hours,55,\"Layla, Kinsley, Avery, Claire\"\ne875,2010/03/21,in the morning,43,\"Layla, Kinsley\"\ne882,2010/03/22,in the morning,35,\"Lydia, Hazel\"\ne883,2010/03/22,late in the evening,12,Lydia\ne890,2010/03/23,in the morning,19,\"Avery, Layla, Nora, Lydia\"\ne891,2010/03/23,in the morning,20,\"Nevaeh, Hazel, Rylee\"\ne892,2010/03/23,during lunch hours,15,\"Layla, Lydia, Piper, Rylee\"\ne893,2010/03/23,in the early afternoon,29,\"Rylee, Kinsley, Nora, Piper\"\ne900,2010/03/24,in the early afternoon,21,\"Kinsley, Hazel, Avery\"\ne901,2010/03/24,late in the evening,38,\"Lydia, Nevaeh, Layla, Kinsley\"\ne908,2010/03/25,in the early evening,50,Rylee\ne909,2010/03/25,late in the evening,50,Nora\ne916,2010/03/26,late in the evening,26,\"Kinsley, Piper\"\ne917,2010/03/26,in the early evening,17,Piper\ne918,2010/03/26,in the early afternoon,55,\"Rylee, Layla, Nora\"\ne925,2010/03/27,in the morning,53,Piper\ne926,2010/03/27,in the morning,22,\"Avery, Lydia, Piper\"\ne927,2010/03/27,in the early afternoon,22,\"Eva, Kinsley, Nora\"\ne928,2010/03/27,during lunch hours,31,\"Claire, Lydia, Nevaeh, Hazel\"\ne934,2010/03/28,late in the evening,27,Piper\ne935,2010/03/28,in the early afternoon,21,Nevaeh\ne936,2010/03/28,late in the evening,55,\"Piper, Olivia, Claire, Eva\"\ne937,2010/03/28,in the early evening,52,\"Layla, Eva, Lydia, Rylee\"\ne944,2010/03/29,late in the evening,9,\"Lydia, Hazel\"\ne945,2010/03/29,late in the evening,38,\"Claire, Hazel, Nora, Lydia\"\ne952,2010/03/30,during lunch hours,33,\"Nora, Hazel\"\ne953,2010/03/30,in the late afternoon,13,Lydia\ne954,2010/03/30,in the morning,52,Lydia\ne960,2010/03/31,in the early evening,41,\"Nevaeh, Nora\"\ne961,2010/03/31,in the early evening,34,\"Avery, Lydia, Layla\"\ne962,2010/03/31,in the early evening,44,\"Layla, Piper, Avery, Rylee\"\ne969,2010/04/01,in the morning,45,\"Rylee, Lydia\"\ne970,2010/04/01,in the late afternoon,43,\"Hazel, Layla\"\ne971,2010/04/01,in the late afternoon,40,\"Kinsley, Olivia\"\ne972,2010/04/01,in the early afternoon,44,\"Nevaeh, Claire, Piper, Eva\"\ne979,2010/04/02,late in the evening,31,\"Nora, Olivia\"\ne980,2010/04/02,in the late afternoon,19,Kinsley\ne986,2010/04/03,in the early evening,34,\"Hazel, Claire, Piper, Piper\"\ne987,2010/04/03,in the early evening,47,\"Olivia, Kinsley, Piper, Eva\"\ne988,2010/04/03,in the early evening,39,\"Claire, Lydia, Nora\"\ne995,2010/04/04,during lunch hours,6,\"Piper, Piper, Rylee\"\ne996,2010/04/04,late in the evening,55,\"Claire, Hazel, Kinsley\"\ne1003,2010/04/05,during lunch hours,9,\"Nevaeh, Hazel\"\ne1004,2010/04/05,in the morning,14,Kinsley\ne1005,2010/04/05,late in the evening,45,\"Piper, Eva\"\ne1006,2010/04/05,late in the evening,23,\"Nora, Avery, Hazel, Piper\"\ne1013,2010/04/06,in the morning,27,\"Piper, Olivia, Nora, Kinsley\"\ne1014,2010/04/06,late in the evening,17,\"Eva, Claire, Layla\"\ne1015,2010/04/06,in the morning,28,\"Claire, Kinsley, Hazel, Nora\"\ne1022,2010/04/07,in the early evening,42,\"Kinsley, Avery, Hazel, Nevaeh\"\ne1023,2010/04/07,in the early afternoon,52,\"Hazel, Layla, Eva\"\ne1024,2010/04/07,in the early afternoon,34,\"Kinsley, Claire, Nora, Nevaeh\"\ne1031,2010/04/08,in the early afternoon,20,\"Piper, Piper\"\ne1032,2010/04/08,in the early afternoon,52,Eva\ne1033,2010/04/08,late in the evening,36,\"Olivia, Kinsley, Avery\"\ne1040,2010/04/09,in the morning,31,\"Piper, Olivia, Nevaeh\"\ne1041,2010/04/09,in the late afternoon,21,\"Nevaeh, Olivia, Rylee\"\ne1042,2010/04/09,in the early evening,54,\"Avery, Nora\"\ne1049,2010/04/10,during lunch hours,49,Nevaeh\ne1050,2010/04/10,in the early afternoon,53,Avery\ne1057,2010/04/11,during lunch hours,33,Claire\ne1058,2010/04/11,during lunch hours,31,Lydia\ne1065,2010/04/12,during lunch hours,22,\"Nora, Kinsley\"\ne1066,2010/04/12,in the late afternoon,29,Olivia\ne1067,2010/04/12,in the early afternoon,14,\"Layla, Rylee, Eva\"\ne1074,2010/04/13,in the late afternoon,19,\"Nora, Nevaeh, Lydia, Hazel\"\ne1075,2010/04/13,during lunch hours,25,\"Avery, Layla\"\ne1076,2010/04/13,late in the evening,50,\"Hazel, Piper\"\ne1083,2010/04/14,during lunch hours,14,\"Piper, Avery, Eva\"\ne1084,2010/04/14,in the late afternoon,50,Hazel\ne1085,2010/04/14,in the late afternoon,28,Nora\ne1091,2010/04/15,in the morning,13,\"Nora, Piper, Layla\"\ne1092,2010/04/15,in the morning,55,Avery\ne1098,2010/04/16,in the early afternoon,23,\"Nora, Eva, Nevaeh, Claire\"\ne1099,2010/04/16,in the late afternoon,51,Hazel\ne1105,2010/04/17,in the early evening,16,\"Piper, Nevaeh, Rylee, Kinsley\"\ne1106,2010/04/17,in the late afternoon,7,\"Piper, Eva\"\ne1107,2010/04/17,in the early afternoon,12,\"Rylee, Avery, Layla\"\ne1108,2010/04/17,late in the evening,17,Lydia\ne1115,2010/04/18,in the early evening,24,\"Avery, Nora, Piper, Piper\"\ne1116,2010/04/18,in the late afternoon,21,\"Kinsley, Olivia, Layla, Claire\"\ne1117,2010/04/18,in the early afternoon,32,\"Eva, Hazel, Nora, Nevaeh\"\ne1118,2010/04/18,in the early afternoon,38,\"Olivia, Claire\"\ne1125,2010/04/19,in the late afternoon,34,\"Nevaeh, Piper\"\ne1126,2010/04/19,late in the evening,52,\"Olivia, Rylee, Claire\"\ne1127,2010/04/19,late in the evening,32,\"Eva, Avery, Layla, Olivia\"\ne1134,2010/04/20,in the late afternoon,52,\"Piper, Claire, Rylee, Nevaeh\"\ne1141,2010/04/21,during lunch hours,26,Eva\ne1142,2010/04/21,in the early afternoon,55,\"Piper, Avery\"\ne1149,2010/04/22,in the morning,15,\"Claire, Layla, Piper\"\ne1150,2010/04/22,in the early evening,18,Hazel\ne1151,2010/04/22,in the morning,24,Eva\ne1158,2010/04/23,during lunch hours,37,\"Lydia, Nora\"\ne1159,2010/04/23,in the early evening,46,Piper\ne1160,2010/04/23,in the morning,37,\"Nevaeh, Kinsley, Avery, Rylee\"\ne1167,2010/04/24,in the early afternoon,33,\"Olivia, Hazel, Claire, Avery\"\ne1168,2010/04/24,in the early evening,36,\"Layla, Nora\"\ne1169,2010/04/24,in the early afternoon,18,\"Eva, Piper, Lydia\"\ne1176,2010/04/25,in the morning,35,\"Olivia, Kinsley\"\ne1177,2010/04/25,in the morning,30,\"Piper, Avery, Nevaeh, Claire\"\ne1184,2010/04/26,in the early afternoon,14,\"Piper, Claire, Lydia\"\ne1185,2010/04/26,in the late afternoon,41,\"Lydia, Claire, Avery, Eva\"\ne1192,2010/04/27,late in the evening,10,\"Olivia, Piper, Claire, Rylee\"\ne1193,2010/04/27,in the late afternoon,22,\"Nevaeh, Piper, Eva\"\ne1194,2010/04/27,in the late afternoon,11,\"Piper, Kinsley, Hazel\"\ne1201,2010/04/28,during lunch hours,34,\"Avery, Lydia, Kinsley, Nora\"\ne1202,2010/04/28,during lunch hours,6,\"Piper, Claire, Nora\"\ne1203,2010/04/28,in the late afternoon,18,Hazel\ne1210,2010/04/29,during lunch hours,55,\"Eva, Hazel\"\ne1211,2010/04/29,in the late afternoon,33,\"Avery, Eva\"\ne1218,2010/04/30,in the late afternoon,8,\"Hazel, Kinsley, Eva, Layla\"\ne1219,2010/04/30,late in the evening,5,\"Avery, Rylee\"\ne1220,2010/04/30,late in the evening,5,Layla\ne1227,2010/05/01,in the early evening,6,Lydia\ne1228,2010/05/01,in the early afternoon,41,\"Piper, Olivia\"\ne1235,2010/05/02,late in the evening,23,\"Nevaeh, Avery, Rylee\"\ne1236,2010/05/02,in the morning,51,\"Rylee, Nevaeh, Hazel, Nora\"\ne1237,2010/05/02,late in the evening,37,Avery\ne1244,2010/05/03,in the late afternoon,10,\"Eva, Piper, Rylee, Hazel\"\ne1251,2010/05/04,in the early evening,27,\"Piper, Rylee\"\ne1252,2010/05/04,during lunch hours,23,\"Piper, Rylee, Olivia\"\ne1259,2010/05/05,in the early evening,20,\"Hazel, Eva\"\ne1260,2010/05/05,late in the evening,46,\"Nevaeh, Layla, Piper, Eva\"\ne1267,2010/05/06,during lunch hours,33,\"Avery, Piper, Lydia\"\ne1268,2010/05/06,in the early evening,53,\"Piper, Rylee\"\ne1269,2010/05/06,in the early afternoon,51,\"Nora, Rylee\"\ne1270,2010/05/06,in the morning,46,\"Olivia, Claire\"\ne1277,2010/05/07,in the early afternoon,33,Eva\ne1278,2010/05/07,in the early afternoon,27,\"Avery, Nora, Eva\"\ne1285,2010/05/08,in the early afternoon,52,Eva\ne1286,2010/05/08,in the early afternoon,41,\"Hazel, Nora, Piper\"\ne1293,2010/05/09,during lunch hours,17,\"Layla, Claire, Nora, Hazel\"\ne1294,2010/05/09,in the early afternoon,8,Eva\ne1295,2010/05/09,in the late afternoon,16,\"Rylee, Piper, Layla, Kinsley\"\ne1302,2010/05/10,in the early evening,14,\"Hazel, Kinsley, Nora, Piper\"\ne1303,2010/05/10,in the early evening,7,\"Hazel, Nora, Avery, Piper\"\ne1304,2010/05/10,in the morning,17,\"Kinsley, Piper, Layla\"\ne1305,2010/05/10,in the early evening,14,\"Kinsley, Layla\"\ne1312,2010/05/11,in the early afternoon,51,\"Nevaeh, Hazel\"\ne1313,2010/05/11,during lunch hours,41,Rylee\ne1314,2010/05/11,during lunch hours,40,\"Rylee, Piper, Olivia, Piper\"\ne1321,2010/05/12,in the late afternoon,10,\"Nora, Kinsley, Nevaeh\"\ne1322,2010/05/12,in the early afternoon,40,\"Nora, Hazel\"\ne1329,2010/05/13,in the early afternoon,28,\"Lydia, Nora\"\ne1330,2010/05/13,in the late afternoon,19,Eva\ne1336,2010/05/14,late in the evening,17,\"Layla, Nevaeh, Kinsley, Eva\"\ne1337,2010/05/14,in the early evening,49,\"Hazel, Piper, Kinsley\"\ne1338,2010/05/14,in the late afternoon,25,\"Olivia, Hazel, Rylee\"\ne1339,2010/05/14,in the early evening,19,\"Rylee, Kinsley\"\ne1346,2010/05/15,late in the evening,29,Avery\ne1347,2010/05/15,in the morning,38,\"Hazel, Piper, Avery\"\ne1348,2010/05/15,during lunch hours,20,\"Piper, Eva\"\ne1349,2010/05/15,in the early evening,34,\"Claire, Rylee\"\ne1356,2010/05/16,in the morning,9,\"Piper, Avery, Claire\"\ne1357,2010/05/16,in the early afternoon,25,Piper\ne1358,2010/05/16,during lunch hours,13,\"Claire, Avery, Eva, Olivia\"\ne1359,2010/05/16,during lunch hours,37,\"Avery, Nora, Piper, Nevaeh\"\ne1366,2010/05/17,in the early afternoon,27,\"Eva, Rylee\"\ne1367,2010/05/17,late in the evening,8,\"Layla, Lydia, Rylee, Kinsley\"\ne1368,2010/05/17,during lunch hours,25,\"Kinsley, Eva\"\ne1375,2010/05/18,in the morning,55,\"Rylee, Avery, Nevaeh\"\ne1376,2010/05/18,in the morning,54,\"Hazel, Rylee, Kinsley, Olivia\"\ne1377,2010/05/18,in the early evening,16,\"Piper, Claire, Layla\"\ne1384,2010/05/19,late in the evening,46,\"Kinsley, Claire\"\ne1385,2010/05/19,in the morning,43,Lydia\ne1392,2010/05/20,in the early afternoon,17,\"Layla, Nora, Piper\"\ne1393,2010/05/20,during lunch hours,40,\"Avery, Rylee, Kinsley\"\ne1394,2010/05/20,in the morning,33,\"Piper, Hazel, Lydia, Avery\"\ne1401,2010/05/21,late in the evening,15,Piper\ne1402,2010/05/21,in the early afternoon,47,Kinsley\ne1403,2010/05/21,late in the evening,47,\"Piper, Lydia, Layla\"\ne1410,2010/05/22,in the early afternoon,24,Hazel\ne1411,2010/05/22,in the early evening,19,\"Piper, Nora, Avery\"\ne1412,2010/05/22,in the early afternoon,52,Layla\ne1413,2010/05/22,in the morning,26,\"Hazel, Eva, Piper\"\ne1420,2010/05/23,late in the evening,11,\"Hazel, Lydia, Nevaeh, Rylee\"\ne1421,2010/05/23,during lunch hours,8,\"Nevaeh, Eva, Layla\"\ne1428,2010/05/24,in the late afternoon,51,Lydia\ne1429,2010/05/24,in the morning,25,Nora\ne1436,2010/05/25,in the morning,36,\"Piper, Avery, Kinsley\"\ne1437,2010/05/25,late in the evening,48,Kinsley\ne1438,2010/05/25,in the late afternoon,43,Nora\ne1445,2010/05/26,late in the evening,8,\"Hazel, Layla, Rylee\"\ne1446,2010/05/26,in the early evening,27,\"Avery, Piper, Nevaeh, Kinsley\"\ne1447,2010/05/26,late in the evening,52,\"Rylee, Kinsley, Lydia\"\ne1454,2010/05/27,late in the evening,32,\"Avery, Piper, Nevaeh\"\ne1455,2010/05/27,late in the evening,41,\"Nora, Olivia, Claire, Layla\"\ne1462,2010/05/28,late in the evening,48,\"Nora, Piper, Piper\"\ne1463,2010/05/28,in the early evening,45,\"Layla, Avery, Rylee\"\ne1464,2010/05/28,in the early evening,22,Piper\ne1465,2010/05/28,in the late afternoon,47,Olivia\ne1472,2010/05/29,in the early evening,38,\"Lydia, Hazel, Piper, Nora\"\ne1473,2010/05/29,during lunch hours,20,\"Piper, Nevaeh, Eva\"\ne1474,2010/05/29,in the late afternoon,8,\"Nevaeh, Piper\"\ne1481,2010/05/30,in the morning,50,\"Layla, Rylee, Nora, Nevaeh\"\ne1482,2010/05/30,during lunch hours,24,\"Layla, Piper, Eva, Claire\"\ne1483,2010/05/30,in the morning,16,\"Nora, Rylee\"\ne1490,2010/05/31,in the early evening,29,\"Eva, Hazel, Piper\"\ne1491,2010/05/31,during lunch hours,8,\"Hazel, Piper, Eva, Olivia\"\ne1498,2010/06/01,in the early afternoon,14,\"Eva, Nevaeh\"\ne1499,2010/06/01,during lunch hours,48,\"Hazel, Avery, Kinsley\"\ne1500,2010/06/01,in the morning,32,\"Layla, Piper, Rylee\"\ne1507,2010/06/02,in the early evening,34,Rylee\ne1508,2010/06/02,late in the evening,52,\"Rylee, Nora, Eva, Olivia\"\ne1509,2010/06/02,during lunch hours,27,Avery\ne1510,2010/06/02,in the early evening,52,\"Kinsley, Piper, Piper\"\ne1517,2010/06/03,in the early afternoon,49,\"Piper, Nora, Layla, Avery\"\ne1518,2010/06/03,in the early evening,49,Piper\ne1519,2010/06/03,during lunch hours,33,Kinsley\ne1520,2010/06/03,in the early evening,19,\"Eva, Kinsley, Olivia, Piper\"\ne1527,2010/06/04,during lunch hours,11,\"Piper, Nora\"\ne1528,2010/06/04,in the morning,50,Nora\ne1529,2010/06/04,in the late afternoon,45,\"Claire, Eva, Piper, Nora\"\ne1530,2010/06/04,during lunch hours,7,\"Lydia, Piper, Kinsley\"\ne1537,2010/06/05,in the early afternoon,7,Piper\ne1538,2010/06/05,in the early afternoon,33,Nevaeh\ne1539,2010/06/05,during lunch hours,50,\"Nora, Piper, Avery\"\ne1540,2010/06/05,during lunch hours,48,\"Hazel, Kinsley, Avery\"\ne1547,2010/06/06,late in the evening,49,\"Olivia, Layla\"\ne1548,2010/06/06,in the late afternoon,54,\"Nora, Nevaeh\"\ne1555,2010/06/07,late in the evening,52,\"Layla, Avery\"\ne1556,2010/06/07,in the morning,9,\"Claire, Piper, Piper, Kinsley\"\ne1563,2010/06/08,late in the evening,5,\"Kinsley, Lydia, Nora\"\ne1564,2010/06/08,in the early evening,14,\"Layla, Piper\"\ne1565,2010/06/08,in the early afternoon,26,\"Olivia, Claire, Kinsley\"\ne1571,2010/06/09,late in the evening,32,\"Hazel, Claire\"\ne1572,2010/06/09,during lunch hours,36,Layla\ne1579,2010/06/10,during lunch hours,13,\"Rylee, Nora, Claire\"\ne1580,2010/06/10,during lunch hours,10,\"Olivia, Rylee, Eva, Claire\"\ne1581,2010/06/10,in the morning,55,\"Olivia, Claire, Hazel\"\ne1582,2010/06/10,late in the evening,33,Piper\ne1588,2010/06/11,in the morning,34,\"Nora, Claire, Eva, Hazel\"\ne1589,2010/06/11,late in the evening,30,Layla\ne1590,2010/06/11,during lunch hours,51,\"Hazel, Avery, Nevaeh\"\ne1597,2010/06/12,in the late afternoon,49,\"Hazel, Nevaeh\"\ne1598,2010/06/12,during lunch hours,22,\"Avery, Piper, Layla\"\ne1599,2010/06/12,during lunch hours,9,\"Kinsley, Claire, Eva, Olivia\"\ne1606,2010/06/13,in the early afternoon,5,\"Piper, Layla\"\ne1607,2010/06/13,in the early afternoon,11,\"Nora, Piper, Kinsley, Eva\"\ne1614,2010/06/14,in the early evening,52,\"Rylee, Nevaeh\"\ne1615,2010/06/14,in the early afternoon,8,Hazel\ne1622,2010/06/15,in the early evening,37,\"Nevaeh, Eva, Lydia\"\ne1623,2010/06/15,in the late afternoon,26,Eva\ne1630,2010/06/16,in the morning,24,\"Piper, Eva, Claire\"\ne1631,2010/06/16,in the early evening,46,\"Lydia, Olivia, Claire\"\ne1632,2010/06/16,in the late afternoon,48,\"Kinsley, Avery\"\ne1639,2010/06/17,during lunch hours,13,Lydia\ne1640,2010/06/17,in the early evening,54,\"Piper, Nevaeh, Avery, Olivia\"\ne1641,2010/06/17,in the early afternoon,8,\"Layla, Rylee, Piper\"\ne1647,2010/06/18,in the morning,37,\"Olivia, Rylee, Claire, Kinsley\"\ne1648,2010/06/18,in the morning,20,\"Eva, Piper, Nevaeh\"\ne1655,2010/06/19,during lunch hours,38,\"Rylee, Claire, Hazel, Piper\"\ne1656,2010/06/19,in the morning,13,Avery\ne1657,2010/06/19,in the morning,40,\"Avery, Piper, Olivia, Claire\"\ne1658,2010/06/19,during lunch hours,40,Avery\ne1665,2010/06/20,during lunch hours,20,\"Avery, Layla, Eva, Lydia\"\ne1666,2010/06/20,in the late afternoon,51,Piper\ne1673,2010/06/21,in the early evening,29,Avery\ne1674,2010/06/21,in the early evening,23,\"Nora, Claire\"\ne1675,2010/06/21,in the early evening,26,Nora\ne1682,2010/06/22,in the early evening,18,Claire\ne1683,2010/06/22,in the morning,29,\"Kinsley, Nora, Piper, Hazel\"\ne1690,2010/06/23,in the early afternoon,47,\"Avery, Claire\"\ne1691,2010/06/23,in the early afternoon,41,\"Olivia, Rylee, Nora, Layla\"\ne1692,2010/06/23,during lunch hours,38,\"Claire, Lydia\"\ne1699,2010/06/24,during lunch hours,29,\"Claire, Nevaeh\"\ne1700,2010/06/24,in the early evening,33,\"Nevaeh, Claire, Lydia\"\ne1701,2010/06/24,late in the evening,30,Nora\ne1702,2010/06/24,in the early evening,24,Piper\ne1709,2010/06/25,during lunch hours,19,Avery\ne1710,2010/06/25,in the early evening,42,\"Eva, Nora, Kinsley\"\ne1711,2010/06/25,during lunch hours,12,\"Avery, Piper\"\ne1712,2010/06/25,during lunch hours,46,Avery\ne1719,2010/06/26,late in the evening,6,\"Piper, Avery, Nora\"\ne1720,2010/06/26,in the early evening,50,Piper\ne1721,2010/06/26,in the morning,26,\"Layla, Rylee, Claire\"\ne1728,2010/06/27,in the early afternoon,9,\"Piper, Piper, Eva\"\ne1729,2010/06/27,during lunch hours,10,\"Eva, Layla, Claire\"\ne1730,2010/06/27,in the early afternoon,55,\"Hazel, Eva, Nevaeh\"\ne1731,2010/06/27,in the morning,16,\"Piper, Rylee, Nora\"\ne1738,2010/06/28,in the morning,15,\"Claire, Kinsley, Olivia, Avery\"\ne1739,2010/06/28,in the late afternoon,21,\"Olivia, Layla, Eva, Claire\"\ne1740,2010/06/28,in the morning,35,\"Lydia, Nora, Rylee\"\ne1741,2010/06/28,during lunch hours,31,\"Kinsley, Nevaeh, Olivia, Layla\"\ne1748,2010/06/29,during lunch hours,42,\"Rylee, Hazel\"\ne1749,2010/06/29,late in the evening,5,\"Kinsley, Hazel, Layla\"\ne1750,2010/06/29,in the early evening,7,\"Eva, Rylee\"\ne1751,2010/06/29,in the late afternoon,55,\"Piper, Nevaeh, Claire, Rylee\"\ne1758,2010/06/30,in the morning,55,Eva\ne1759,2010/06/30,during lunch hours,32,\"Nevaeh, Lydia, Kinsley\"\ne1766,2010/07/01,in the late afternoon,45,\"Claire, Eva\"\ne1772,2010/07/02,late in the evening,30,Layla\ne1773,2010/07/02,in the early afternoon,12,\"Olivia, Kinsley, Claire\"\ne1774,2010/07/02,late in the evening,26,\"Piper, Lydia\"\ne1781,2010/07/03,during lunch hours,48,\"Nevaeh, Eva\"\ne1782,2010/07/03,during lunch hours,22,Kinsley\ne1783,2010/07/03,in the early afternoon,11,\"Claire, Rylee\"\ne1790,2010/07/04,in the late afternoon,52,Kinsley\ne1797,2010/07/05,in the early afternoon,14,\"Claire, Nevaeh\"\ne1798,2010/07/05,in the early evening,47,\"Hazel, Nora, Layla\"\ne1805,2010/07/06,during lunch hours,25,\"Kinsley, Layla, Claire\"\ne1806,2010/07/06,in the early afternoon,19,\"Kinsley, Claire\"\ne1807,2010/07/06,late in the evening,23,\"Olivia, Piper, Piper\"\ne1814,2010/07/07,in the late afternoon,43,\"Nevaeh, Eva, Piper\"\ne1815,2010/07/07,late in the evening,43,\"Layla, Piper, Rylee, Nora\"\ne1816,2010/07/07,in the morning,37,\"Avery, Olivia, Piper\"\ne1817,2010/07/07,in the early evening,24,Layla\ne1824,2010/07/08,in the late afternoon,42,\"Eva, Hazel, Rylee, Nora\"\ne1825,2010/07/08,late in the evening,10,Hazel\ne1832,2010/07/09,late in the evening,34,\"Nevaeh, Eva, Piper\"\ne1833,2010/07/09,in the morning,33,\"Avery, Lydia, Layla, Claire\"\ne1834,2010/07/09,in the late afternoon,16,Layla\ne1841,2010/07/10,in the morning,50,\"Claire, Avery, Kinsley\"\ne1842,2010/07/10,in the early evening,44,\"Nora, Lydia\"\ne1849,2010/07/11,in the early evening,31,\"Eva, Hazel, Avery\"\ne1850,2010/07/11,late in the evening,18,\"Avery, Hazel\"\ne1851,2010/07/11,in the late afternoon,15,\"Lydia, Olivia, Nora\"\ne1852,2010/07/11,in the late afternoon,39,\"Eva, Piper\"\ne1859,2010/07/12,during lunch hours,14,\"Layla, Avery, Piper\"\ne1860,2010/07/12,in the morning,50,\"Layla, Rylee, Olivia, Nora\"\ne1861,2010/07/12,in the early afternoon,34,\"Layla, Kinsley\"\ne1868,2010/07/13,in the morning,42,\"Claire, Nevaeh\"\ne1869,2010/07/13,during lunch hours,23,Eva\ne1870,2010/07/13,in the late afternoon,41,\"Lydia, Rylee, Hazel, Kinsley\"\ne1871,2010/07/13,late in the evening,35,\"Lydia, Nevaeh, Olivia\"\ne1878,2010/07/14,in the late afternoon,40,\"Avery, Layla, Hazel\"\ne1879,2010/07/14,in the morning,36,\"Claire, Eva, Hazel, Nevaeh\"\ne1880,2010/07/14,in the early afternoon,36,\"Piper, Kinsley, Claire\"\ne1887,2010/07/15,in the late afternoon,40,Piper\ne1888,2010/07/15,in the late afternoon,31,\"Rylee, Olivia, Kinsley\"\ne1889,2010/07/15,in the early evening,22,\"Kinsley, Piper, Rylee, Piper\"\ne1890,2010/07/15,in the morning,55,\"Lydia, Piper\"\ne1897,2010/07/16,in the late afternoon,27,\"Piper, Olivia, Avery, Nora\"\ne1898,2010/07/16,during lunch hours,24,Piper\ne1899,2010/07/16,in the early afternoon,45,\"Layla, Nevaeh\"\ne1906,2010/07/17,in the early afternoon,16,\"Kinsley, Olivia\"\ne1907,2010/07/17,in the early evening,14,\"Avery, Claire, Kinsley, Layla\"\ne1908,2010/07/17,in the morning,8,\"Kinsley, Rylee, Hazel, Piper\"\ne1915,2010/07/18,in the morning,54,\"Olivia, Lydia\"\ne1916,2010/07/18,in the early afternoon,9,\"Olivia, Nevaeh, Piper\"\ne1917,2010/07/18,in the morning,30,\"Rylee, Kinsley, Claire, Avery\"\ne1918,2010/07/18,in the early afternoon,50,\"Lydia, Layla, Eva\"\ne1924,2010/07/19,late in the evening,42,\"Piper, Rylee\"\ne1925,2010/07/19,in the early evening,24,\"Layla, Olivia, Kinsley, Piper\"\ne1932,2010/07/20,in the early afternoon,24,Nora\ne1933,2010/07/20,during lunch hours,24,\"Claire, Piper, Nevaeh\"\ne1934,2010/07/20,in the morning,32,\"Hazel, Eva\"\ne1941,2010/07/21,in the late afternoon,15,\"Nora, Avery, Nevaeh\"\ne1942,2010/07/21,in the late afternoon,51,Claire\ne1949,2010/07/22,in the early evening,39,\"Piper, Nevaeh, Piper\"\ne1950,2010/07/22,in the early afternoon,46,Hazel\ne1951,2010/07/22,during lunch hours,5,\"Lydia, Piper, Hazel\"\ne1952,2010/07/22,in the early evening,7,Piper\ne1959,2010/07/23,in the early afternoon,55,\"Lydia, Piper\"\ne1960,2010/07/23,in the morning,41,\"Nora, Claire, Olivia, Kinsley\"\ne1961,2010/07/23,in the early evening,53,\"Rylee, Kinsley, Avery\"\ne1968,2010/07/24,in the late afternoon,26,\"Kinsley, Avery\"\ne1969,2010/07/24,in the morning,6,\"Lydia, Kinsley, Eva\"\ne1970,2010/07/24,in the early evening,42,\"Olivia, Eva, Claire, Hazel\"\ne1977,2010/07/25,in the morning,10,Kinsley\ne1978,2010/07/25,late in the evening,43,Lydia\ne1979,2010/07/25,in the late afternoon,27,\"Layla, Rylee, Kinsley\"\ne1986,2010/07/26,late in the evening,33,\"Hazel, Lydia, Avery\"\ne1987,2010/07/26,during lunch hours,53,\"Eva, Piper\"\ne1988,2010/07/26,in the early afternoon,24,\"Nevaeh, Piper, Piper\"\ne1995,2010/07/27,in the late afternoon,50,\"Kinsley, Rylee\"\ne1996,2010/07/27,in the late afternoon,36,\"Piper, Nevaeh, Lydia\"\ne1997,2010/07/27,during lunch hours,44,\"Claire, Rylee\"\ne2004,2010/07/28,in the early evening,28,Rylee\ne2005,2010/07/28,in the early evening,41,Avery\ne2006,2010/07/28,in the early afternoon,53,\"Olivia, Hazel\"\ne2013,2010/07/29,in the early afternoon,12,Olivia\ne2014,2010/07/29,late in the evening,49,Nora\ne2021,2010/07/30,during lunch hours,42,\"Layla, Claire, Rylee\"\ne2022,2010/07/30,in the early evening,42,\"Lydia, Layla\"\ne2023,2010/07/30,late in the evening,5,Kinsley\ne2024,2010/07/30,in the early evening,8,\"Olivia, Layla, Hazel, Piper\"\ne2031,2010/07/31,during lunch hours,44,\"Layla, Rylee, Nora, Claire\"\ne2032,2010/07/31,in the late afternoon,13,\"Kinsley, Avery, Nora\"\ne2033,2010/07/31,in the early afternoon,48,\"Claire, Olivia\"\ne2040,2010/08/01,in the late afternoon,53,Rylee\ne2041,2010/08/01,late in the evening,51,Eva\ne2042,2010/08/01,late in the evening,47,\"Nora, Eva, Hazel, Avery\"\ne2043,2010/08/01,in the early evening,11,\"Piper, Claire, Rylee, Hazel\"\ne2050,2010/08/02,late in the evening,38,Nevaeh\ne2051,2010/08/02,in the morning,43,\"Rylee, Eva, Nora, Piper\"\ne2052,2010/08/02,in the early afternoon,47,Nevaeh\ne2053,2010/08/02,during lunch hours,35,\"Rylee, Layla, Nevaeh, Lydia\"\ne2060,2010/08/03,in the late afternoon,35,Rylee\ne2061,2010/08/03,in the morning,42,\"Eva, Claire\"\ne2062,2010/08/03,in the early evening,35,\"Layla, Rylee, Hazel\"\ne2068,2010/08/04,in the late afternoon,11,Nora\ne2069,2010/08/04,in the early evening,52,\"Nora, Piper, Olivia, Avery\"\ne2070,2010/08/04,in the early evening,13,\"Rylee, Nevaeh\"\ne2071,2010/08/04,during lunch hours,53,Piper\ne2078,2010/08/05,late in the evening,43,\"Rylee, Olivia, Eva, Avery\"\ne2079,2010/08/05,in the morning,43,\"Nevaeh, Piper\"\ne2080,2010/08/05,during lunch hours,50,\"Claire, Olivia\"\ne2081,2010/08/05,late in the evening,14,Eva\ne2088,2010/08/06,in the early afternoon,46,Claire\ne2095,2010/08/07,during lunch hours,37,Eva\ne2102,2010/08/08,in the morning,19,\"Piper, Hazel, Lydia\"\ne2103,2010/08/08,during lunch hours,6,\"Piper, Lydia, Claire, Kinsley\"\ne2110,2010/08/09,in the early afternoon,5,\"Rylee, Eva\"\ne2111,2010/08/09,in the morning,21,\"Avery, Lydia\"\ne2118,2010/08/10,late in the evening,29,\"Piper, Nora\"\ne2119,2010/08/10,late in the evening,41,Claire\ne2126,2010/08/11,during lunch hours,8,\"Lydia, Nevaeh, Piper, Nora\"\ne2127,2010/08/11,during lunch hours,46,\"Nora, Lydia, Piper, Piper\"\ne2134,2010/08/12,in the early afternoon,39,\"Nevaeh, Claire\"\ne2135,2010/08/12,in the late afternoon,37,\"Nevaeh, Piper, Layla, Rylee\"\ne2142,2010/08/13,late in the evening,5,Olivia\ne2149,2010/08/14,in the late afternoon,33,\"Piper, Nora, Kinsley\"\ne2150,2010/08/14,in the morning,7,Rylee\ne2151,2010/08/14,in the early afternoon,26,\"Nora, Olivia, Piper, Avery\"\ne2158,2010/08/15,in the early evening,24,\"Lydia, Avery, Nevaeh, Eva\"\ne2159,2010/08/15,during lunch hours,19,\"Hazel, Piper, Rylee\"\ne2166,2010/08/16,in the late afternoon,27,Lydia\ne2167,2010/08/16,in the late afternoon,13,\"Nevaeh, Layla, Kinsley\"\ne2168,2010/08/16,during lunch hours,22,\"Olivia, Hazel, Kinsley\"\ne2169,2010/08/16,during lunch hours,6,\"Eva, Olivia\"\ne2176,2010/08/17,in the early evening,52,\"Hazel, Olivia\"\ne2177,2010/08/17,during lunch hours,12,\"Claire, Eva, Rylee, Layla\"\ne2178,2010/08/17,during lunch hours,21,Piper\ne2184,2010/08/18,in the early evening,42,\"Nora, Claire, Lydia\"\ne2185,2010/08/18,in the morning,30,\"Piper, Olivia, Eva, Claire\"\ne2192,2010/08/19,in the early evening,32,\"Layla, Lydia, Kinsley, Olivia\"\ne2193,2010/08/19,in the early evening,20,Claire\ne2200,2010/08/20,in the morning,21,\"Kinsley, Olivia\"\ne2201,2010/08/20,in the early afternoon,36,\"Claire, Piper, Nevaeh\"\ne2202,2010/08/20,late in the evening,14,\"Hazel, Rylee, Nora\"\ne2209,2010/08/21,in the early afternoon,32,Layla\ne2210,2010/08/21,during lunch hours,52,\"Piper, Kinsley, Piper, Avery\"\ne2216,2010/08/22,in the early evening,39,\"Olivia, Avery, Eva, Piper\"\ne2217,2010/08/22,in the early evening,22,\"Kinsley, Claire, Nora\"\ne2224,2010/08/23,in the early afternoon,5,\"Lydia, Layla\"\ne2225,2010/08/23,during lunch hours,43,\"Hazel, Kinsley, Avery, Nora\"\ne2226,2010/08/23,in the early evening,8,\"Piper, Kinsley, Piper, Claire\"\ne2233,2010/08/24,during lunch hours,22,\"Kinsley, Hazel, Eva\"\ne2234,2010/08/24,late in the evening,18,\"Avery, Hazel, Lydia, Kinsley\"\ne2241,2010/08/25,in the early evening,9,\"Lydia, Layla\"\ne2242,2010/08/25,in the morning,19,\"Layla, Hazel, Piper\"\ne2249,2010/08/26,in the early evening,26,\"Nevaeh, Avery, Nora, Eva\"\ne2250,2010/08/26,during lunch hours,18,Nora\ne2257,2010/08/27,in the late afternoon,5,Kinsley\ne2258,2010/08/27,during lunch hours,43,\"Piper, Hazel, Piper\"\ne2265,2010/08/28,during lunch hours,30,\"Eva, Nora\"\ne2266,2010/08/28,in the late afternoon,30,\"Nora, Avery, Layla\"\ne2267,2010/08/28,in the early evening,7,Avery\ne2274,2010/08/29,in the early afternoon,36,\"Kinsley, Layla\"\ne2275,2010/08/29,in the morning,21,\"Piper, Hazel, Lydia, Kinsley\"\ne2276,2010/08/29,in the early evening,39,Hazel\ne2283,2010/08/30,during lunch hours,35,Avery\ne2284,2010/08/30,late in the evening,19,\"Eva, Layla, Nevaeh\"\ne2291,2010/08/31,late in the evening,43,Layla\ne2292,2010/08/31,in the late afternoon,25,\"Olivia, Nora, Rylee, Piper\"\ne2293,2010/08/31,during lunch hours,55,\"Rylee, Lydia, Hazel\"\ne2300,2010/09/01,in the early afternoon,12,\"Claire, Nora, Rylee, Piper\"\ne2301,2010/09/01,in the early afternoon,44,\"Avery, Lydia, Eva\"\ne2308,2010/09/02,in the morning,35,\"Lydia, Claire, Avery\"\ne2309,2010/09/02,in the morning,34,\"Claire, Avery, Rylee\"\ne2310,2010/09/02,in the late afternoon,18,Lydia\ne2311,2010/09/02,in the early afternoon,35,\"Lydia, Eva\"\ne2318,2010/09/03,in the early evening,48,\"Piper, Nevaeh, Rylee, Hazel\"\ne2319,2010/09/03,in the early afternoon,27,\"Layla, Lydia, Eva, Piper\"\ne2320,2010/09/03,in the morning,25,\"Lydia, Hazel\"\ne2327,2010/09/04,during lunch hours,43,Lydia\ne2328,2010/09/04,during lunch hours,15,\"Kinsley, Rylee\"\ne2329,2010/09/04,in the early afternoon,29,\"Nevaeh, Lydia, Piper, Kinsley\"\ne2336,2010/09/05,in the morning,11,\"Eva, Layla\"\ne2337,2010/09/05,in the early evening,44,\"Olivia, Piper\"\ne2344,2010/09/06,in the late afternoon,38,\"Nevaeh, Lydia, Rylee, Olivia\"\ne2345,2010/09/06,late in the evening,36,\"Olivia, Kinsley\"\ne2346,2010/09/06,in the late afternoon,25,Olivia\ne2347,2010/09/06,in the late afternoon,31,\"Eva, Layla, Olivia\"\ne2354,2010/09/07,in the early evening,46,\"Hazel, Olivia, Claire, Eva\"\ne2355,2010/09/07,in the early afternoon,5,\"Avery, Kinsley\"\ne2356,2010/09/07,in the early evening,34,Hazel\ne2357,2010/09/07,in the early afternoon,54,\"Nevaeh, Eva, Layla\"\ne2364,2010/09/08,in the early afternoon,28,\"Piper, Avery\"\ne2365,2010/09/08,during lunch hours,6,\"Kinsley, Nevaeh\"\ne2366,2010/09/08,late in the evening,29,\"Kinsley, Avery, Piper, Nora\"\ne2373,2010/09/09,during lunch hours,12,\"Rylee, Olivia, Nevaeh\"\ne2374,2010/09/09,in the late afternoon,25,\"Layla, Nevaeh, Nora, Claire\"\ne2381,2010/09/10,in the morning,20,\"Nevaeh, Eva, Nora, Layla\"\ne2382,2010/09/10,late in the evening,47,\"Olivia, Claire, Nora, Kinsley\"\ne2383,2010/09/10,late in the evening,26,\"Hazel, Lydia, Eva\"\ne2384,2010/09/10,in the early evening,21,\"Nevaeh, Claire, Hazel, Piper\"\ne2391,2010/09/11,in the early evening,29,\"Rylee, Layla, Kinsley, Piper\"\ne2392,2010/09/11,during lunch hours,51,\"Nevaeh, Lydia, Eva\"\ne2393,2010/09/11,during lunch hours,16,\"Nora, Hazel\"\ne2400,2010/09/12,during lunch hours,5,Piper\ne2401,2010/09/12,in the morning,44,\"Layla, Claire, Hazel\"\ne2408,2010/09/13,in the late afternoon,20,Piper\ne2409,2010/09/13,in the morning,49,\"Nevaeh, Hazel\"\ne2410,2010/09/13,in the early evening,29,\"Avery, Nora\"\ne2417,2010/09/14,in the early afternoon,37,\"Olivia, Piper\"\ne2418,2010/09/14,late in the evening,45,Avery\ne2419,2010/09/14,in the late afternoon,10,\"Olivia, Layla, Piper, Nevaeh\"\ne2426,2010/09/15,late in the evening,51,\"Claire, Piper, Olivia\"\ne2427,2010/09/15,in the early afternoon,33,\"Kinsley, Nora, Eva\"\ne2434,2010/09/16,in the late afternoon,44,Kinsley\ne2435,2010/09/16,in the early afternoon,30,\"Claire, Avery, Eva\"\ne2436,2010/09/16,in the morning,26,\"Layla, Olivia\"\ne2443,2010/09/17,during lunch hours,27,\"Avery, Claire, Eva, Rylee\"\ne2444,2010/09/17,in the late afternoon,20,Kinsley\ne2445,2010/09/17,in the early afternoon,5,\"Rylee, Piper, Piper, Nevaeh\"\ne2452,2010/09/18,late in the evening,25,\"Hazel, Claire\"\ne2453,2010/09/18,in the early evening,14,Rylee\ne2454,2010/09/18,in the early evening,55,\"Rylee, Olivia\"\ne2461,2010/09/19,in the late afternoon,24,\"Nevaeh, Eva\"\ne2462,2010/09/19,in the morning,39,\"Kinsley, Eva, Piper, Nora\"\ne2463,2010/09/19,in the early evening,26,\"Lydia, Nevaeh, Piper\"\ne2464,2010/09/19,in the early evening,10,\"Eva, Rylee\"\ne2471,2010/09/20,in the morning,33,\"Piper, Rylee, Olivia\"\ne2472,2010/09/20,in the late afternoon,52,Eva\ne2473,2010/09/20,in the morning,7,\"Piper, Lydia, Nora\"\ne2474,2010/09/20,during lunch hours,21,\"Nevaeh, Claire\"\ne2481,2010/09/21,late in the evening,18,\"Piper, Kinsley, Hazel\"\ne2482,2010/09/21,late in the evening,45,Nevaeh\ne2483,2010/09/21,during lunch hours,35,\"Hazel, Nevaeh, Piper\"\ne2490,2010/09/22,in the early evening,45,\"Lydia, Nora, Piper\"\ne2491,2010/09/22,in the early evening,35,\"Piper, Claire, Rylee\"\ne2492,2010/09/22,during lunch hours,13,\"Lydia, Rylee, Piper, Nora\"\ne2499,2010/09/23,in the late afternoon,39,Nora\ne2500,2010/09/23,in the early evening,15,\"Piper, Hazel, Eva, Kinsley\"\ne2501,2010/09/23,in the morning,21,\"Eva, Claire, Avery\"\ne2508,2010/09/24,in the early evening,10,\"Nevaeh, Piper, Claire, Olivia\"\ne2509,2010/09/24,in the morning,39,\"Nora, Eva, Nevaeh, Piper\"\ne2516,2010/09/25,in the late afternoon,45,\"Nevaeh, Rylee, Lydia, Eva\"\ne2517,2010/09/25,in the late afternoon,10,Eva\ne2518,2010/09/25,late in the evening,37,\"Nora, Nevaeh, Eva\"\ne2519,2010/09/25,in the late afternoon,30,\"Piper, Avery\"\ne2526,2010/09/26,in the late afternoon,30,\"Avery, Olivia, Nevaeh, Piper\"\ne2527,2010/09/26,in the early afternoon,21,\"Rylee, Hazel, Nevaeh, Avery\"\ne2528,2010/09/26,during lunch hours,7,\"Kinsley, Nevaeh\"\ne2535,2010/09/27,in the late afternoon,9,\"Nora, Hazel\"\ne2536,2010/09/27,late in the evening,37,\"Layla, Piper, Nora, Olivia\"\ne2543,2010/09/28,in the morning,32,\"Claire, Piper, Kinsley, Eva\"\ne2544,2010/09/28,in the late afternoon,34,\"Nora, Lydia, Layla, Eva\"\ne2545,2010/09/28,late in the evening,16,\"Piper, Nora, Kinsley\"\ne2546,2010/09/28,in the early evening,14,\"Piper, Avery, Kinsley\"\ne2553,2010/09/29,in the early afternoon,17,Layla\ne2554,2010/09/29,in the morning,30,\"Eva, Hazel, Layla\"\ne2561,2010/09/30,in the early afternoon,22,\"Piper, Avery, Lydia\"\ne2562,2010/09/30,in the early afternoon,50,\"Nevaeh, Layla, Nora, Hazel\"\ne2563,2010/09/30,in the late afternoon,14,\"Claire, Rylee, Eva\"\ne2564,2010/09/30,late in the evening,47,Claire\ne2571,2010/10/01,in the late afternoon,25,\"Eva, Layla\"\ne2572,2010/10/01,in the early evening,44,\"Nora, Rylee\"\ne2579,2010/10/02,in the late afternoon,21,\"Nora, Piper\"\ne2580,2010/10/02,in the early afternoon,30,\"Olivia, Nora\"\ne2581,2010/10/02,during lunch hours,9,\"Nevaeh, Rylee\"\ne2588,2010/10/03,in the morning,55,\"Olivia, Nora, Avery, Nevaeh\"\ne2589,2010/10/03,in the late afternoon,46,\"Eva, Nevaeh, Nora, Rylee\"\ne2596,2010/10/04,during lunch hours,14,\"Rylee, Piper\"\ne2597,2010/10/04,in the late afternoon,32,Piper\ne2598,2010/10/04,in the morning,20,\"Kinsley, Rylee, Piper, Layla\"\ne2605,2010/10/05,in the morning,33,\"Rylee, Kinsley, Layla\"\ne2606,2010/10/05,in the early afternoon,18,\"Rylee, Lydia, Piper\"\ne2607,2010/10/05,late in the evening,14,Lydia\ne2614,2010/10/06,in the early evening,48,\"Olivia, Layla, Eva, Rylee\"\ne2615,2010/10/06,in the late afternoon,41,\"Kinsley, Eva, Piper, Nevaeh\"\ne2622,2010/10/07,late in the evening,45,\"Rylee, Eva, Lydia, Piper\"\ne2623,2010/10/07,late in the evening,55,\"Lydia, Rylee\"\ne2624,2010/10/07,during lunch hours,12,Eva\ne2631,2010/10/08,in the early afternoon,39,Nora\ne2632,2010/10/08,in the early afternoon,34,\"Eva, Olivia, Avery\"\ne2633,2010/10/08,in the late afternoon,31,\"Kinsley, Nora, Olivia, Rylee\"\ne2639,2010/10/09,in the late afternoon,11,\"Olivia, Piper, Lydia\"\ne2640,2010/10/09,in the late afternoon,12,Olivia\ne2641,2010/10/09,in the early afternoon,30,\"Avery, Nora, Piper\"\ne2648,2010/10/10,in the early evening,44,\"Olivia, Eva, Piper, Avery\"\ne2649,2010/10/10,in the late afternoon,40,\"Nora, Lydia, Piper\"\ne2650,2010/10/10,late in the evening,7,Piper\ne2651,2010/10/10,late in the evening,50,\"Nevaeh, Hazel, Layla, Claire\"\ne2658,2010/10/11,in the morning,15,\"Lydia, Avery\"\ne2659,2010/10/11,in the morning,39,Claire\ne2666,2010/10/12,during lunch hours,38,Piper\ne2667,2010/10/12,in the early afternoon,7,\"Claire, Rylee, Kinsley\"\ne2674,2010/10/13,in the late afternoon,23,Rylee\ne2675,2010/10/13,late in the evening,37,\"Nora, Hazel, Nevaeh\"\ne2682,2010/10/14,during lunch hours,11,Hazel\ne2683,2010/10/14,in the early evening,19,\"Rylee, Eva, Nora\"\ne2684,2010/10/14,in the early afternoon,28,\"Layla, Piper, Piper, Nevaeh\"\ne2691,2010/10/15,in the late afternoon,50,Kinsley\ne2692,2010/10/15,in the morning,53,\"Eva, Lydia, Rylee\"\ne2693,2010/10/15,in the early evening,8,\"Eva, Avery, Piper\"\ne2700,2010/10/16,late in the evening,33,\"Piper, Layla\"\ne2701,2010/10/16,in the late afternoon,23,\"Kinsley, Olivia, Piper\"\ne2702,2010/10/16,late in the evening,43,\"Claire, Nora, Piper\"\ne2708,2010/10/17,during lunch hours,24,Nevaeh\ne2709,2010/10/17,in the late afternoon,20,Claire\ne2710,2010/10/17,during lunch hours,9,Nevaeh\ne2717,2010/10/18,in the early evening,17,Hazel\ne2718,2010/10/18,during lunch hours,6,\"Olivia, Nora, Claire, Piper\"\ne2725,2010/10/19,in the early evening,33,\"Eva, Avery, Rylee, Claire\"\ne2726,2010/10/19,in the late afternoon,19,\"Olivia, Avery, Nora\"\ne2727,2010/10/19,in the early evening,31,\"Eva, Nora\"\ne2728,2010/10/19,in the late afternoon,25,\"Hazel, Avery\"\ne2735,2010/10/20,late in the evening,40,\"Olivia, Claire, Piper, Hazel\"\ne2736,2010/10/20,during lunch hours,36,\"Kinsley, Hazel, Olivia, Layla\"\ne2737,2010/10/20,during lunch hours,24,Eva\ne2744,2010/10/21,late in the evening,17,Claire\ne2745,2010/10/21,in the early afternoon,6,Hazel\ne2746,2010/10/21,in the early evening,54,\"Rylee, Piper\"\ne2753,2010/10/22,in the early evening,44,\"Avery, Lydia\"\ne2754,2010/10/22,in the early evening,53,\"Piper, Eva, Olivia\"\ne2761,2010/10/23,in the early evening,11,\"Layla, Eva, Claire, Piper\"\ne2762,2010/10/23,in the early afternoon,53,\"Claire, Piper, Piper\"\ne2763,2010/10/23,in the early evening,23,\"Layla, Olivia, Eva\"\ne2764,2010/10/23,late in the evening,10,\"Layla, Olivia, Claire, Nora\"\ne2771,2010/10/24,late in the evening,17,\"Rylee, Layla, Avery, Lydia\"\ne2772,2010/10/24,during lunch hours,21,\"Olivia, Claire\"\ne2773,2010/10/24,during lunch hours,38,\"Kinsley, Claire, Nevaeh, Hazel\"\ne2779,2010/10/25,late in the evening,29,\"Avery, Nevaeh, Rylee, Hazel\"\ne2780,2010/10/25,in the early evening,15,\"Piper, Layla, Piper\"\ne2781,2010/10/25,in the early evening,35,\"Hazel, Claire, Nora\"\ne2782,2010/10/25,in the late afternoon,46,\"Layla, Olivia, Nora, Nevaeh\"\ne2789,2010/10/26,during lunch hours,6,\"Rylee, Layla, Eva\"\ne2790,2010/10/26,in the early evening,15,\"Nevaeh, Lydia, Kinsley, Avery\"\ne2791,2010/10/26,in the early afternoon,49,\"Piper, Lydia, Nora, Nevaeh\"\ne2792,2010/10/26,in the early afternoon,23,Piper\ne2799,2010/10/27,in the early afternoon,50,Piper\ne2800,2010/10/27,in the early afternoon,5,\"Avery, Eva, Rylee\"\ne2801,2010/10/27,in the early evening,14,\"Piper, Hazel, Nora, Eva\"\ne2808,2010/10/28,in the early evening,55,\"Layla, Kinsley, Nora\"\ne2809,2010/10/28,in the early afternoon,13,\"Nora, Olivia, Rylee\"\ne2810,2010/10/28,in the early afternoon,30,\"Layla, Kinsley\"\ne2817,2010/10/29,in the late afternoon,29,\"Hazel, Nora, Rylee, Eva\"\ne2818,2010/10/29,in the late afternoon,26,\"Nora, Claire\"\ne2819,2010/10/29,in the late afternoon,9,\"Nevaeh, Nora, Layla, Piper\"\ne2826,2010/10/30,in the late afternoon,25,\"Layla, Piper, Nora\"\ne2827,2010/10/30,in the late afternoon,25,\"Eva, Kinsley\"\ne2828,2010/10/30,during lunch hours,22,\"Claire, Rylee\"\ne2835,2010/10/31,in the late afternoon,27,Hazel\ne2836,2010/10/31,in the morning,40,\"Eva, Rylee, Nora, Olivia\"\ne2837,2010/10/31,in the late afternoon,54,\"Layla, Piper\"\ne2844,2010/11/01,in the early evening,53,\"Piper, Hazel\"\ne2845,2010/11/01,in the late afternoon,7,Eva\ne2852,2010/11/02,in the early evening,21,\"Lydia, Hazel, Kinsley\"\ne2853,2010/11/02,in the early evening,20,\"Kinsley, Nora, Rylee\"\ne2860,2010/11/03,in the early afternoon,33,\"Claire, Layla, Kinsley\"\ne2861,2010/11/03,in the late afternoon,17,\"Eva, Lydia\"\ne2862,2010/11/03,in the morning,22,\"Rylee, Hazel, Piper\"\ne2869,2010/11/04,in the morning,31,\"Claire, Eva, Piper\"\ne2870,2010/11/04,in the early evening,50,\"Piper, Piper, Avery\"\ne2871,2010/11/04,in the early afternoon,52,\"Nevaeh, Olivia, Eva, Piper\"\ne2878,2010/11/05,in the early evening,43,\"Claire, Eva\"\ne2879,2010/11/05,in the morning,50,\"Avery, Piper\"\ne2886,2010/11/06,in the morning,48,\"Olivia, Piper, Rylee\"\ne2887,2010/11/06,in the morning,43,\"Kinsley, Piper, Claire, Layla\"\ne2888,2010/11/06,in the early evening,39,\"Hazel, Piper, Claire\"\ne2894,2010/11/07,in the late afternoon,24,\"Piper, Avery\"\ne2895,2010/11/07,during lunch hours,52,Nevaeh\ne2896,2010/11/07,late in the evening,49,\"Nora, Nevaeh, Claire\"\ne2897,2010/11/07,in the early evening,8,\"Piper, Hazel, Layla, Claire\"\ne2904,2010/11/08,in the early afternoon,8,\"Eva, Piper\"\ne2905,2010/11/08,late in the evening,33,Hazel\ne2912,2010/11/09,during lunch hours,17,Piper\ne2913,2010/11/09,in the early afternoon,30,\"Layla, Nora, Claire, Olivia\"\ne2914,2010/11/09,in the morning,12,\"Piper, Nora\"\ne2915,2010/11/09,in the early afternoon,16,Lydia\ne2922,2010/11/10,in the morning,26,\"Piper, Eva, Layla\"\ne2923,2010/11/10,during lunch hours,54,\"Layla, Piper\"\ne2924,2010/11/10,in the late afternoon,11,\"Piper, Avery, Rylee, Layla\"\ne2925,2010/11/10,in the early evening,33,Olivia\ne2932,2010/11/11,during lunch hours,46,\"Olivia, Avery\"\ne2933,2010/11/11,during lunch hours,39,\"Olivia, Piper, Rylee\"\ne2934,2010/11/11,in the late afternoon,51,\"Hazel, Olivia, Eva\"\ne2941,2010/11/12,in the early afternoon,17,\"Piper, Rylee, Nora, Eva\"\ne2942,2010/11/12,in the early evening,6,\"Olivia, Nora, Piper, Layla\"\ne2943,2010/11/12,in the late afternoon,21,\"Avery, Hazel, Olivia, Layla\"\ne2944,2010/11/12,in the late afternoon,8,\"Piper, Layla\"\ne2951,2010/11/13,late in the evening,53,\"Rylee, Nora, Avery\"\ne2952,2010/11/13,during lunch hours,51,\"Lydia, Rylee\"\ne2953,2010/11/13,in the early evening,41,\"Lydia, Nora\"\ne2954,2010/11/13,in the late afternoon,9,\"Rylee, Nevaeh\"\ne2961,2010/11/14,in the early afternoon,14,\"Kinsley, Lydia, Claire\"\ne2962,2010/11/14,in the morning,20,Lydia\ne2969,2010/11/15,during lunch hours,42,\"Piper, Nevaeh, Kinsley\"\ne2970,2010/11/15,in the morning,51,\"Claire, Olivia, Hazel, Avery\"\ne2971,2010/11/15,late in the evening,55,\"Layla, Hazel, Claire\"\ne2972,2010/11/15,late in the evening,51,\"Claire, Piper, Layla\"\ne2979,2010/11/16,in the early evening,33,Lydia\ne2980,2010/11/16,during lunch hours,36,\"Rylee, Eva\"\ne2986,2010/11/17,in the morning,28,\"Nora, Eva, Olivia, Piper\"\ne2987,2010/11/17,in the late afternoon,7,\"Kinsley, Lydia, Piper, Layla\"\ne2988,2010/11/17,in the early evening,8,Layla\ne2995,2010/11/18,in the morning,44,\"Piper, Eva, Rylee\"\ne2996,2010/11/18,in the late afternoon,13,Lydia\ne2997,2010/11/18,late in the evening,10,\"Piper, Layla, Rylee\"\ne3004,2010/11/19,late in the evening,49,\"Claire, Hazel, Avery, Nora\"\ne3005,2010/11/19,in the late afternoon,48,Olivia\ne3011,2010/11/20,during lunch hours,9,\"Olivia, Layla, Kinsley\"\ne3012,2010/11/20,in the late afternoon,39,\"Piper, Claire, Piper, Nora\"\ne3019,2010/11/21,during lunch hours,34,Avery\ne3020,2010/11/21,in the morning,36,\"Piper, Rylee, Layla, Olivia\"\ne3027,2010/11/22,in the early evening,27,\"Piper, Eva, Claire, Lydia\"\ne3028,2010/11/22,in the morning,6,\"Layla, Olivia, Nora\"\ne3029,2010/11/22,late in the evening,27,\"Avery, Nevaeh\"\ne3030,2010/11/22,in the morning,28,\"Claire, Lydia\"\ne3037,2010/11/23,in the early evening,21,\"Piper, Olivia, Claire, Avery\"\ne3038,2010/11/23,in the early evening,25,Eva\ne3039,2010/11/23,in the early afternoon,49,Kinsley\ne3046,2010/11/24,late in the evening,30,\"Olivia, Avery\"\ne3047,2010/11/24,in the late afternoon,23,Eva\ne3048,2010/11/24,during lunch hours,13,\"Rylee, Claire, Nora\"\ne3055,2010/11/25,in the early afternoon,46,\"Lydia, Kinsley, Eva, Claire\"\ne3056,2010/11/25,in the early afternoon,42,Kinsley\ne3057,2010/11/25,during lunch hours,8,\"Kinsley, Hazel\"\ne3058,2010/11/25,in the early afternoon,53,\"Olivia, Piper, Nevaeh\"\ne3065,2010/11/26,late in the evening,9,Rylee\ne3066,2010/11/26,during lunch hours,21,\"Piper, Rylee\"\ne3067,2010/11/26,in the early evening,32,Hazel\ne3074,2010/11/27,in the early afternoon,43,Piper\ne3075,2010/11/27,in the early evening,48,\"Kinsley, Piper\"\ne3082,2010/11/28,in the early evening,55,\"Hazel, Nora, Lydia\"\ne3083,2010/11/28,in the early evening,23,\"Kinsley, Piper, Nevaeh\"\ne3084,2010/11/28,in the early afternoon,33,\"Olivia, Layla, Hazel, Nora\"\ne3085,2010/11/28,late in the evening,17,\"Piper, Hazel\"\ne3092,2010/11/29,during lunch hours,35,\"Piper, Olivia, Kinsley\"\ne3093,2010/11/29,late in the evening,32,\"Claire, Kinsley\"\ne3094,2010/11/29,in the late afternoon,13,Piper\ne3095,2010/11/29,in the early afternoon,44,\"Rylee, Lydia\"\ne3102,2010/11/30,late in the evening,45,\"Layla, Piper, Nevaeh, Hazel\"\ne3103,2010/11/30,in the late afternoon,15,Nora\ne3104,2010/11/30,in the early evening,11,\"Kinsley, Piper, Eva, Layla\"\ne3111,2010/12/01,in the early afternoon,50,Kinsley\ne3112,2010/12/01,in the morning,40,Lydia\ne3113,2010/12/01,late in the evening,45,Rylee\ne3120,2010/12/02,late in the evening,48,\"Avery, Lydia\"\ne3121,2010/12/02,in the early afternoon,40,Rylee\ne3127,2010/12/03,in the late afternoon,46,\"Olivia, Avery\"\ne3128,2010/12/03,in the morning,29,Layla\ne3134,2010/12/04,in the morning,37,Lydia\ne3135,2010/12/04,late in the evening,25,Piper\ne3142,2010/12/05,late in the evening,9,\"Piper, Kinsley, Avery, Lydia\"\ne3143,2010/12/05,in the early afternoon,9,\"Layla, Piper, Piper, Avery\"\ne3144,2010/12/05,late in the evening,26,Claire\ne3151,2010/12/06,in the early afternoon,47,\"Lydia, Rylee, Olivia, Claire\"\ne3152,2010/12/06,during lunch hours,7,\"Claire, Layla\"\ne3153,2010/12/06,during lunch hours,50,Piper\ne3160,2010/12/07,in the morning,44,\"Olivia, Lydia\"\ne3161,2010/12/07,late in the evening,52,\"Lydia, Piper\"\ne3168,2010/12/08,in the morning,24,\"Hazel, Piper\"\ne3169,2010/12/08,during lunch hours,6,\"Nora, Nevaeh, Olivia, Hazel\"\ne3176,2010/12/09,in the early evening,49,Piper\ne3177,2010/12/09,during lunch hours,11,\"Claire, Nora, Layla, Eva\"\ne3178,2010/12/09,in the morning,13,\"Piper, Kinsley, Nevaeh, Lydia\"\ne3179,2010/12/09,in the morning,13,\"Eva, Piper, Avery\"\ne3186,2010/12/10,in the early afternoon,26,\"Nevaeh, Piper, Nora\"\ne3187,2010/12/10,in the early afternoon,36,Avery\ne3194,2010/12/11,in the early afternoon,54,\"Nora, Rylee, Hazel, Kinsley\"\ne3195,2010/12/11,in the late afternoon,20,Piper\ne3196,2010/12/11,in the morning,26,Claire\ne3202,2010/12/12,in the early afternoon,16,\"Hazel, Kinsley, Piper\"\ne3203,2010/12/12,late in the evening,16,\"Rylee, Nevaeh, Lydia, Nora\"\ne3204,2010/12/12,late in the evening,25,\"Hazel, Avery\"\ne3211,2010/12/13,in the late afternoon,41,\"Kinsley, Rylee\"\ne3212,2010/12/13,during lunch hours,34,Piper\ne3213,2010/12/13,during lunch hours,38,\"Nora, Claire, Piper\"\ne3214,2010/12/13,late in the evening,24,\"Olivia, Avery, Claire\"\ne3221,2010/12/14,late in the evening,24,\"Avery, Nora, Rylee, Olivia\"\ne3222,2010/12/14,in the late afternoon,24,\"Hazel, Kinsley, Olivia\"\ne3229,2010/12/15,late in the evening,8,Lydia\ne3230,2010/12/15,in the early afternoon,15,\"Rylee, Avery, Hazel, Olivia\"\ne3231,2010/12/15,in the early evening,24,\"Nora, Kinsley\"\ne3232,2010/12/15,during lunch hours,18,\"Olivia, Kinsley, Piper, Nora\"\ne3239,2010/12/16,during lunch hours,25,\"Rylee, Eva, Avery, Piper\"\ne3240,2010/12/16,late in the evening,52,\"Nevaeh, Rylee, Eva\"\ne3247,2010/12/17,during lunch hours,12,\"Kinsley, Nevaeh\"\ne3248,2010/12/17,in the early evening,16,Olivia\ne3249,2010/12/17,in the early afternoon,13,\"Avery, Claire\"\ne3250,2010/12/17,in the morning,22,\"Piper, Lydia\"\ne3257,2010/12/18,in the early evening,42,\"Lydia, Layla, Hazel\"\ne3258,2010/12/18,in the morning,50,\"Piper, Kinsley, Piper\"\ne3259,2010/12/18,in the morning,47,\"Avery, Nevaeh, Claire, Rylee\"\ne3260,2010/12/18,during lunch hours,12,\"Hazel, Claire\"\ne3267,2010/12/19,in the morning,35,\"Claire, Rylee\"\ne3268,2010/12/19,in the early afternoon,19,\"Avery, Eva, Olivia, Nevaeh\"\ne3269,2010/12/19,during lunch hours,47,\"Layla, Avery, Kinsley, Rylee\"\ne3276,2010/12/20,in the morning,39,Avery\ne3277,2010/12/20,during lunch hours,53,Layla\ne3284,2010/12/21,in the early afternoon,47,Piper\ne3285,2010/12/21,in the morning,53,\"Olivia, Avery, Layla, Claire\"\ne3286,2010/12/21,in the early evening,51,Claire\ne3287,2010/12/21,in the morning,41,\"Olivia, Nevaeh\"\ne3294,2010/12/22,in the early afternoon,47,\"Lydia, Avery\"\ne3295,2010/12/22,during lunch hours,15,\"Olivia, Claire\"\ne3302,2010/12/23,late in the evening,14,\"Rylee, Claire\"\ne3303,2010/12/23,during lunch hours,54,\"Layla, Kinsley, Eva\"\ne3304,2010/12/23,during lunch hours,54,\"Lydia, Kinsley, Avery, Piper\"\ne3311,2010/12/24,in the morning,9,\"Piper, Nora\"\ne3312,2010/12/24,in the early afternoon,9,\"Layla, Piper, Hazel\"\ne3313,2010/12/24,in the morning,47,\"Nevaeh, Layla\"\ne3314,2010/12/24,in the early evening,55,Rylee\ne3321,2010/12/25,in the morning,51,Kinsley\ne3322,2010/12/25,late in the evening,50,\"Rylee, Eva, Nora\"\ne3329,2010/12/26,in the morning,31,\"Kinsley, Nevaeh\"\ne3330,2010/12/26,in the late afternoon,51,\"Piper, Piper, Hazel, Layla\"\ne3337,2010/12/27,late in the evening,49,Olivia\ne3338,2010/12/27,in the morning,10,\"Lydia, Rylee, Piper\"\ne3339,2010/12/27,during lunch hours,37,\"Piper, Claire, Rylee\"\ne3346,2010/12/28,in the early evening,51,\"Piper, Rylee\"\ne3347,2010/12/28,in the early afternoon,23,\"Claire, Layla\"\ne3348,2010/12/28,in the morning,24,\"Claire, Avery\"\ne3349,2010/12/28,late in the evening,48,\"Nevaeh, Layla, Piper, Olivia\"\ne3356,2010/12/29,in the late afternoon,46,\"Layla, Eva, Piper, Hazel\"\ne3357,2010/12/29,in the morning,54,\"Piper, Lydia, Piper, Kinsley\"\ne3358,2010/12/29,in the early afternoon,16,Lydia\ne3365,2010/12/30,during lunch hours,6,\"Claire, Kinsley\"\ne3372,2010/12/31,late in the evening,8,Lydia\ne3373,2010/12/31,in the morning,5,\"Layla, Lydia\"\ne3374,2010/12/31,during lunch hours,12,\"Avery, Claire, Eva, Layla\"\ne3585,2011/01/01,in the late afternoon,30,\"Piper, Hazel\"\ne3586,2011/01/01,in the morning,17,\"Avery, Rylee, Layla\"\ne3593,2011/01/02,in the late afternoon,47,Nora\ne3594,2011/01/02,during lunch hours,12,\"Nevaeh, Olivia, Hazel, Layla\"\ne3595,2011/01/02,late in the evening,17,\"Layla, Piper, Rylee, Nora\"\ne3602,2011/01/03,in the late afternoon,36,Layla\ne3603,2011/01/03,late in the evening,26,\"Piper, Layla\"\ne3610,2011/01/04,during lunch hours,33,\"Hazel, Piper\"\ne3611,2011/01/04,late in the evening,54,\"Nevaeh, Lydia\"\ne3612,2011/01/04,in the early afternoon,41,Eva\ne3613,2011/01/04,in the morning,20,\"Lydia, Claire, Hazel\"\ne3620,2011/01/05,in the early afternoon,44,\"Hazel, Layla\"\ne3621,2011/01/05,in the late afternoon,46,Olivia\ne3622,2011/01/05,in the morning,5,\"Layla, Eva, Rylee, Nevaeh\"\ne3628,2011/01/06,in the early afternoon,36,\"Claire, Rylee, Piper, Lydia\"\ne3629,2011/01/06,in the morning,55,\"Eva, Nora\"\ne3636,2011/01/07,in the morning,28,\"Olivia, Avery, Piper\"\ne3637,2011/01/07,during lunch hours,41,\"Piper, Nevaeh, Avery\"\ne3643,2011/01/08,during lunch hours,19,Claire\ne3644,2011/01/08,during lunch hours,37,\"Nora, Nevaeh\"\ne3651,2011/01/09,late in the evening,55,\"Eva, Nevaeh, Layla, Piper\"\ne3652,2011/01/09,in the early afternoon,20,Rylee\ne3653,2011/01/09,in the early evening,27,\"Claire, Nevaeh, Rylee, Nora\"\ne3654,2011/01/09,in the late afternoon,16,\"Piper, Lydia, Piper\"\ne3661,2011/01/10,during lunch hours,17,\"Layla, Claire, Avery\"\ne3662,2011/01/10,in the late afternoon,42,\"Hazel, Lydia, Olivia\"\ne3669,2011/01/11,in the morning,5,\"Lydia, Kinsley, Eva, Rylee\"\ne3670,2011/01/11,during lunch hours,17,\"Hazel, Nevaeh, Olivia\"\ne3671,2011/01/11,in the early afternoon,29,\"Piper, Rylee, Claire\"\ne3678,2011/01/12,in the early evening,12,\"Avery, Nevaeh\"\ne3679,2011/01/12,in the early evening,41,\"Nora, Piper, Layla, Piper\"\ne3686,2011/01/13,in the morning,18,Avery\ne3687,2011/01/13,in the early afternoon,41,Eva\ne3688,2011/01/13,in the late afternoon,14,\"Claire, Olivia\"\ne3695,2011/01/14,in the early evening,34,Claire\ne3696,2011/01/14,late in the evening,10,\"Rylee, Layla, Lydia\"\ne3703,2011/01/15,in the morning,51,\"Lydia, Claire, Nevaeh, Nora\"\ne3704,2011/01/15,in the early evening,17,\"Nevaeh, Avery, Hazel\"\ne3705,2011/01/15,in the early evening,12,Nevaeh\ne3712,2011/01/16,during lunch hours,39,Piper\ne3713,2011/01/16,in the late afternoon,54,\"Claire, Kinsley, Lydia, Layla\"\ne3720,2011/01/17,late in the evening,22,\"Kinsley, Layla\"\ne3721,2011/01/17,in the early afternoon,28,\"Avery, Piper, Nevaeh\"\ne3728,2011/01/18,late in the evening,43,\"Lydia, Layla, Nevaeh\"\ne3729,2011/01/18,late in the evening,27,Kinsley\ne3730,2011/01/18,late in the evening,54,Piper\ne3731,2011/01/18,in the early afternoon,10,Olivia\ne3738,2011/01/19,in the early evening,12,\"Nora, Layla, Nevaeh\"\ne3739,2011/01/19,in the late afternoon,46,\"Claire, Lydia, Avery\"\ne3740,2011/01/19,in the morning,19,Nevaeh\ne3741,2011/01/19,during lunch hours,51,\"Hazel, Piper, Lydia\"\ne3748,2011/01/20,in the early evening,43,\"Kinsley, Lydia, Nora\"\ne3749,2011/01/20,in the late afternoon,20,Piper\ne3756,2011/01/21,in the late afternoon,53,\"Piper, Nevaeh, Lydia\"\ne3757,2011/01/21,in the early afternoon,47,\"Claire, Lydia, Olivia\"\ne3758,2011/01/21,in the morning,14,\"Avery, Claire\"\ne3765,2011/01/22,in the early afternoon,39,Avery\ne3766,2011/01/22,in the early evening,28,\"Rylee, Avery\"\ne3767,2011/01/22,in the morning,33,Piper\ne3773,2011/01/23,during lunch hours,26,Piper\ne3774,2011/01/23,during lunch hours,54,\"Rylee, Hazel, Nora, Eva\"\ne3775,2011/01/23,in the morning,9,\"Rylee, Avery, Claire\"\ne3782,2011/01/24,in the early afternoon,6,\"Piper, Kinsley, Avery, Claire\"\ne3783,2011/01/24,in the late afternoon,18,Piper\ne3784,2011/01/24,in the early afternoon,55,\"Eva, Kinsley, Layla, Piper\"\ne3791,2011/01/25,during lunch hours,28,\"Eva, Olivia\"\ne3792,2011/01/25,late in the evening,36,\"Eva, Rylee, Lydia, Claire\"\ne3793,2011/01/25,in the early evening,17,\"Nora, Claire, Piper, Avery\"\ne3794,2011/01/25,in the early afternoon,45,\"Avery, Claire, Eva\"\ne3801,2011/01/26,in the morning,41,\"Claire, Nevaeh, Layla, Avery\"\ne3802,2011/01/26,in the morning,28,\"Kinsley, Olivia\"\ne3809,2011/01/27,late in the evening,23,Piper\ne3810,2011/01/27,in the early afternoon,55,\"Layla, Piper\"\ne3816,2011/01/28,in the early afternoon,19,\"Claire, Avery, Piper, Nora\"\ne3817,2011/01/28,late in the evening,53,\"Avery, Nevaeh\"\ne3818,2011/01/28,in the early afternoon,45,\"Olivia, Rylee, Eva\"\ne3819,2011/01/28,during lunch hours,39,\"Layla, Avery, Nevaeh\"\ne3825,2011/01/29,in the morning,6,\"Lydia, Piper, Kinsley, Layla\"\ne3826,2011/01/29,during lunch hours,9,\"Nora, Eva\"\ne3827,2011/01/29,in the early afternoon,41,Claire\ne3834,2011/01/30,in the early evening,44,\"Layla, Piper, Nora\"\ne3835,2011/01/30,in the early evening,38,\"Hazel, Kinsley, Rylee\"\ne3836,2011/01/30,in the late afternoon,41,Hazel\ne3843,2011/01/31,late in the evening,19,\"Hazel, Layla, Rylee\"\ne3844,2011/01/31,during lunch hours,24,\"Nora, Kinsley, Hazel\"\ne3845,2011/01/31,in the morning,41,\"Avery, Piper, Kinsley\"\ne3852,2011/02/01,in the morning,49,\"Hazel, Nora, Piper\"\ne3853,2011/02/01,in the late afternoon,9,\"Olivia, Lydia\"\ne3854,2011/02/01,late in the evening,32,Hazel\ne3855,2011/02/01,in the early evening,10,\"Piper, Nora, Piper\"\ne3862,2011/02/02,late in the evening,7,\"Hazel, Rylee, Claire, Nevaeh\"\ne3863,2011/02/02,in the early afternoon,6,\"Piper, Avery, Lydia, Kinsley\"\ne3870,2011/02/03,in the early evening,20,\"Avery, Rylee, Nevaeh\"\ne3871,2011/02/03,in the late afternoon,42,\"Claire, Eva, Nevaeh\"\ne3872,2011/02/03,in the early evening,7,Eva\ne3878,2011/02/04,in the early evening,18,Piper\ne3879,2011/02/04,in the early afternoon,27,\"Piper, Kinsley, Olivia\"\ne3880,2011/02/04,late in the evening,23,\"Rylee, Layla, Nevaeh, Lydia\"\ne3887,2011/02/05,during lunch hours,45,\"Kinsley, Eva, Claire, Avery\"\ne3888,2011/02/05,in the late afternoon,43,\"Olivia, Eva\"\ne3889,2011/02/05,late in the evening,20,\"Lydia, Piper, Nevaeh\"\ne3890,2011/02/05,during lunch hours,16,\"Piper, Eva, Nora, Nevaeh\"\ne3897,2011/02/06,in the late afternoon,45,\"Piper, Nora, Lydia\"\ne3898,2011/02/06,during lunch hours,6,Avery\ne3899,2011/02/06,during lunch hours,18,\"Nora, Hazel, Piper, Claire\"\ne3905,2011/02/07,in the early afternoon,40,\"Piper, Lydia, Eva, Nevaeh\"\ne3906,2011/02/07,late in the evening,32,\"Kinsley, Eva\"\ne3907,2011/02/07,in the morning,37,\"Olivia, Lydia\"\ne3914,2011/02/08,in the early afternoon,29,Rylee\ne3915,2011/02/08,late in the evening,43,\"Kinsley, Hazel, Nora\"\ne3916,2011/02/08,in the early afternoon,53,\"Nora, Nevaeh\"\ne3917,2011/02/08,in the late afternoon,31,Lydia\ne3924,2011/02/09,during lunch hours,49,\"Eva, Rylee, Kinsley, Nora\"\ne3925,2011/02/09,in the late afternoon,11,\"Claire, Piper, Nevaeh\"\ne3932,2011/02/10,in the morning,50,\"Layla, Nora\"\ne3933,2011/02/10,in the early evening,32,\"Nevaeh, Hazel, Eva, Avery\"\ne3940,2011/02/11,during lunch hours,31,\"Kinsley, Rylee\"\ne3941,2011/02/11,in the morning,8,\"Lydia, Avery\"\ne3948,2011/02/12,during lunch hours,23,\"Rylee, Piper, Nora, Lydia\"\ne3949,2011/02/12,in the morning,28,\"Eva, Claire\"\ne3950,2011/02/12,late in the evening,36,\"Nevaeh, Hazel, Kinsley\"\ne3957,2011/02/13,in the early afternoon,36,Rylee\ne3958,2011/02/13,in the morning,50,\"Hazel, Piper, Claire\"\ne3959,2011/02/13,during lunch hours,26,\"Rylee, Nevaeh, Lydia, Hazel\"\ne3965,2011/02/14,in the morning,43,\"Claire, Piper\"\ne3966,2011/02/14,during lunch hours,34,\"Avery, Eva, Nevaeh\"\ne3967,2011/02/14,in the late afternoon,37,\"Piper, Rylee, Lydia, Nora\"\ne3974,2011/02/15,in the late afternoon,29,Lydia\ne3975,2011/02/15,during lunch hours,40,\"Lydia, Nora\"\ne3976,2011/02/15,late in the evening,43,\"Eva, Rylee, Avery\"\ne3977,2011/02/15,in the early afternoon,46,Nevaeh\ne3984,2011/02/16,during lunch hours,53,Olivia\ne3985,2011/02/16,in the early evening,44,Kinsley\ne3992,2011/02/17,in the late afternoon,36,\"Nevaeh, Hazel, Lydia\"\ne3993,2011/02/17,late in the evening,19,\"Eva, Nevaeh, Kinsley\"\ne3994,2011/02/17,late in the evening,21,Nevaeh\ne4001,2011/02/18,in the early evening,45,\"Nora, Eva\"\ne4002,2011/02/18,late in the evening,15,Hazel\ne4003,2011/02/18,late in the evening,17,\"Rylee, Piper\"\ne4010,2011/02/19,during lunch hours,34,\"Olivia, Nora, Layla\"\ne4011,2011/02/19,late in the evening,53,\"Claire, Nevaeh, Layla\"\ne4017,2011/02/20,in the morning,31,\"Rylee, Claire, Nora\"\ne4018,2011/02/20,during lunch hours,45,\"Olivia, Avery\"\ne4019,2011/02/20,during lunch hours,40,\"Nora, Layla, Hazel\"\ne4026,2011/02/21,in the early afternoon,8,\"Hazel, Nora, Claire, Eva\"\ne4027,2011/02/21,in the early evening,17,\"Eva, Olivia, Rylee\"\ne4028,2011/02/21,late in the evening,44,Avery\ne4035,2011/02/22,during lunch hours,27,\"Piper, Eva, Olivia, Lydia\"\ne4036,2011/02/22,in the late afternoon,19,\"Piper, Lydia\"\ne4037,2011/02/22,late in the evening,32,\"Hazel, Piper, Nevaeh, Lydia\"\ne4044,2011/02/23,in the early afternoon,34,\"Olivia, Nora, Avery, Layla\"\ne4045,2011/02/23,in the early afternoon,10,Kinsley\ne4051,2011/02/24,late in the evening,26,\"Hazel, Eva, Rylee, Olivia\"\ne4052,2011/02/24,in the morning,41,\"Layla, Nevaeh, Olivia\"\ne4053,2011/02/24,in the late afternoon,38,\"Kinsley, Hazel\"\ne4054,2011/02/24,in the late afternoon,21,\"Avery, Eva\"\ne4060,2011/02/25,in the early evening,26,\"Eva, Kinsley, Claire\"\ne4061,2011/02/25,in the early afternoon,11,\"Piper, Layla, Hazel\"\ne4062,2011/02/25,late in the evening,42,\"Rylee, Hazel, Layla\"\ne4068,2011/02/26,in the early afternoon,34,\"Hazel, Layla\"\ne4069,2011/02/26,in the morning,6,\"Piper, Layla\"\ne4075,2011/02/27,during lunch hours,5,\"Layla, Nora, Piper, Claire\"\ne4076,2011/02/27,in the early afternoon,19,\"Piper, Avery, Hazel, Claire\"\ne4082,2011/02/28,in the early afternoon,22,\"Hazel, Avery, Layla, Rylee\"\ne4083,2011/02/28,in the late afternoon,6,\"Hazel, Avery\"\ne4084,2011/02/28,in the morning,22,\"Rylee, Eva\"\ne4090,2011/03/01,in the late afternoon,24,\"Lydia, Nevaeh, Eva\"\ne4091,2011/03/01,in the morning,52,Nora\ne4092,2011/03/01,late in the evening,15,\"Eva, Piper, Claire\"\ne4098,2011/03/02,late in the evening,23,\"Piper, Claire\"\ne4099,2011/03/02,in the morning,14,\"Avery, Claire\"\ne4100,2011/03/02,in the early evening,34,\"Piper, Nevaeh, Claire\"\ne4106,2011/03/03,late in the evening,31,\"Kinsley, Nora\"\ne4112,2011/03/04,during lunch hours,44,\"Nevaeh, Olivia, Layla\"\ne4113,2011/03/04,in the late afternoon,31,\"Hazel, Nora, Eva\"\ne4114,2011/03/04,in the morning,40,\"Eva, Olivia, Avery, Claire\"\ne4120,2011/03/05,in the late afternoon,53,\"Kinsley, Avery, Piper\"\ne4121,2011/03/05,in the early evening,36,\"Olivia, Piper, Layla, Nora\"\ne4122,2011/03/05,in the early afternoon,15,\"Claire, Avery\"\ne4123,2011/03/05,in the late afternoon,44,\"Claire, Rylee, Lydia\"\ne4129,2011/03/06,in the morning,11,\"Kinsley, Lydia, Nora, Piper\"\ne4130,2011/03/06,in the late afternoon,35,\"Rylee, Avery, Kinsley, Nevaeh\"\ne4131,2011/03/06,during lunch hours,50,Hazel\ne4138,2011/03/07,in the late afternoon,27,\"Piper, Nora, Claire, Avery\"\ne4139,2011/03/07,in the early evening,36,\"Piper, Avery, Nora, Eva\"\ne4140,2011/03/07,in the late afternoon,31,\"Nevaeh, Lydia, Eva, Claire\"\ne4141,2011/03/07,late in the evening,18,\"Claire, Nevaeh\"\ne4148,2011/03/08,during lunch hours,52,Nevaeh\ne4149,2011/03/08,in the early evening,13,\"Piper, Nora\"\ne4150,2011/03/08,during lunch hours,33,\"Piper, Eva\"\ne4157,2011/03/09,late in the evening,45,\"Lydia, Piper\"\ne4158,2011/03/09,late in the evening,30,\"Avery, Hazel, Nevaeh, Kinsley\"\ne4159,2011/03/09,late in the evening,8,\"Hazel, Nevaeh, Nora\"\ne4160,2011/03/09,late in the evening,50,\"Lydia, Hazel, Eva\"\ne4167,2011/03/10,late in the evening,13,Claire\ne4168,2011/03/10,in the morning,29,Claire\ne4169,2011/03/10,in the early evening,52,\"Piper, Lydia, Layla\"\ne4176,2011/03/11,in the early afternoon,43,\"Eva, Lydia\"\ne4177,2011/03/11,in the early afternoon,26,\"Hazel, Lydia, Claire, Nevaeh\"\ne4178,2011/03/11,in the late afternoon,43,Avery\ne4179,2011/03/11,late in the evening,13,\"Nora, Kinsley, Layla, Piper\"\ne4186,2011/03/12,late in the evening,13,\"Olivia, Claire, Kinsley\"\ne4187,2011/03/12,in the early evening,41,\"Eva, Nora\"\ne4188,2011/03/12,in the early afternoon,14,Hazel\ne4189,2011/03/12,in the late afternoon,41,\"Piper, Lydia, Hazel\"\ne4196,2011/03/13,in the morning,13,Avery\ne4197,2011/03/13,late in the evening,46,\"Rylee, Piper, Lydia\"\ne4204,2011/03/14,in the early evening,34,\"Olivia, Hazel, Lydia\"\ne4205,2011/03/14,in the early evening,7,\"Olivia, Nora, Piper\"\ne4206,2011/03/14,late in the evening,26,\"Hazel, Nevaeh\"\ne4213,2011/03/15,during lunch hours,33,\"Layla, Hazel, Lydia\"\ne4214,2011/03/15,in the early afternoon,15,\"Olivia, Avery, Piper, Layla\"\ne4215,2011/03/15,late in the evening,45,\"Hazel, Claire, Avery\"\ne4222,2011/03/16,in the early evening,42,\"Kinsley, Lydia, Eva, Nora\"\ne4223,2011/03/16,late in the evening,52,\"Lydia, Avery, Claire, Kinsley\"\ne4230,2011/03/17,in the late afternoon,15,\"Rylee, Avery, Piper, Kinsley\"\ne4231,2011/03/17,in the early afternoon,18,\"Hazel, Rylee, Olivia\"\ne4238,2011/03/18,during lunch hours,35,\"Kinsley, Nevaeh\"\ne4239,2011/03/18,late in the evening,13,Avery\ne4246,2011/03/19,during lunch hours,28,Piper\ne4247,2011/03/19,during lunch hours,53,\"Olivia, Kinsley, Claire\"\ne4248,2011/03/19,during lunch hours,42,\"Kinsley, Hazel\"\ne4249,2011/03/19,during lunch hours,49,\"Kinsley, Nevaeh, Piper, Rylee\"\ne4256,2011/03/20,in the morning,32,\"Nora, Claire, Piper, Nevaeh\"\ne4257,2011/03/20,in the late afternoon,53,\"Eva, Kinsley, Lydia\"\ne4258,2011/03/20,in the early afternoon,54,\"Eva, Claire\"\ne4265,2011/03/21,in the early afternoon,43,\"Nevaeh, Claire, Lydia, Avery\"\ne4266,2011/03/21,in the early evening,25,\"Avery, Kinsley, Olivia\"\ne4267,2011/03/21,late in the evening,32,\"Lydia, Eva\"\ne4268,2011/03/21,during lunch hours,33,\"Claire, Eva, Lydia\"\ne4275,2011/03/22,in the late afternoon,34,\"Olivia, Hazel, Nevaeh, Avery\"\ne4276,2011/03/22,in the morning,19,\"Piper, Nevaeh, Avery, Lydia\"\ne4283,2011/03/23,during lunch hours,8,\"Hazel, Layla\"\ne4290,2011/03/24,late in the evening,11,\"Rylee, Kinsley, Nora, Avery\"\ne4291,2011/03/24,late in the evening,39,Kinsley\ne4292,2011/03/24,during lunch hours,45,\"Lydia, Rylee\"\ne4299,2011/03/25,in the late afternoon,20,Avery\ne4300,2011/03/25,in the early afternoon,23,Rylee\ne4301,2011/03/25,in the late afternoon,19,\"Nevaeh, Lydia\"\ne4308,2011/03/26,in the early afternoon,45,\"Nora, Layla\"\ne4309,2011/03/26,during lunch hours,9,\"Avery, Lydia\"\ne4316,2011/03/27,in the morning,51,\"Layla, Piper, Nora, Rylee\"\ne4317,2011/03/27,in the early evening,55,\"Nora, Olivia, Hazel, Lydia\"\ne4324,2011/03/28,in the morning,14,\"Piper, Piper, Nevaeh\"\ne4325,2011/03/28,late in the evening,33,\"Piper, Eva, Hazel, Layla\"\ne4326,2011/03/28,in the early afternoon,25,\"Kinsley, Claire\"\ne4332,2011/03/29,in the early afternoon,11,Lydia\ne4333,2011/03/29,in the early evening,20,\"Rylee, Nevaeh\"\ne4340,2011/03/30,in the late afternoon,26,\"Olivia, Nora, Lydia, Kinsley\"\ne4341,2011/03/30,in the early afternoon,44,Avery\ne4342,2011/03/30,in the late afternoon,30,\"Claire, Nora, Hazel, Piper\"\ne4343,2011/03/30,late in the evening,22,\"Avery, Hazel, Eva\"\ne4350,2011/03/31,in the morning,5,\"Nora, Kinsley\"\ne4351,2011/03/31,in the late afternoon,32,\"Hazel, Olivia, Nora, Claire\"\ne4358,2011/04/01,during lunch hours,23,\"Piper, Hazel, Piper, Avery\"\ne4359,2011/04/01,late in the evening,17,Nora\ne4366,2011/04/02,in the early evening,12,\"Kinsley, Olivia, Avery, Piper\"\ne4367,2011/04/02,in the late afternoon,55,\"Claire, Piper, Kinsley\"\ne4368,2011/04/02,late in the evening,55,Rylee\ne4375,2011/04/03,during lunch hours,42,Lydia\ne4376,2011/04/03,in the early evening,52,\"Claire, Rylee, Hazel\"\ne4377,2011/04/03,late in the evening,52,\"Kinsley, Nevaeh, Piper\"\ne4378,2011/04/03,in the early evening,43,\"Nevaeh, Layla, Nora\"\ne4385,2011/04/04,during lunch hours,34,Nevaeh\ne4386,2011/04/04,late in the evening,39,Eva\ne4393,2011/04/05,in the late afternoon,28,\"Layla, Hazel\"\ne4394,2011/04/05,in the late afternoon,35,Piper\ne4401,2011/04/06,during lunch hours,15,\"Hazel, Lydia, Nora\"\ne4402,2011/04/06,during lunch hours,12,\"Piper, Nora, Nevaeh, Claire\"\ne4403,2011/04/06,late in the evening,18,\"Olivia, Eva\"\ne4409,2011/04/07,late in the evening,43,\"Kinsley, Nevaeh\"\ne4410,2011/04/07,in the early evening,22,\"Claire, Hazel, Piper, Eva\"\ne4411,2011/04/07,in the early afternoon,41,\"Piper, Layla\"\ne4412,2011/04/07,in the early afternoon,29,\"Kinsley, Lydia, Nevaeh, Rylee\"\ne4419,2011/04/08,late in the evening,23,\"Piper, Layla\"\ne4420,2011/04/08,during lunch hours,43,\"Hazel, Claire, Kinsley\"\ne4421,2011/04/08,in the late afternoon,10,Kinsley\ne4427,2011/04/09,in the morning,45,\"Rylee, Lydia, Eva, Avery\"\ne4428,2011/04/09,in the early evening,24,\"Hazel, Layla, Rylee, Olivia\"\ne4429,2011/04/09,in the early evening,12,Avery\ne4436,2011/04/10,during lunch hours,18,\"Piper, Eva, Claire, Piper\"\ne4437,2011/04/10,during lunch hours,26,\"Nevaeh, Piper\"\ne4438,2011/04/10,late in the evening,21,\"Piper, Layla, Nevaeh\"\ne4445,2011/04/11,in the early evening,10,\"Piper, Piper\"\ne4446,2011/04/11,in the morning,13,Eva\ne4452,2011/04/12,late in the evening,47,\"Avery, Rylee, Eva, Piper\"\ne4453,2011/04/12,in the morning,5,\"Rylee, Claire\"\ne4454,2011/04/12,late in the evening,29,\"Piper, Eva\"\ne4461,2011/04/13,in the morning,10,\"Hazel, Avery, Layla\"\ne4462,2011/04/13,in the early evening,45,\"Nevaeh, Kinsley\"\ne4463,2011/04/13,late in the evening,14,\"Hazel, Claire, Avery, Piper\"\ne4470,2011/04/14,late in the evening,40,\"Kinsley, Hazel, Avery, Nora\"\ne4471,2011/04/14,during lunch hours,50,\"Olivia, Piper, Layla\"\ne4472,2011/04/14,in the late afternoon,50,\"Nora, Piper, Piper\"\ne4479,2011/04/15,late in the evening,43,\"Eva, Rylee, Nevaeh, Kinsley\"\ne4486,2011/04/16,in the morning,38,\"Piper, Avery\"\ne4487,2011/04/16,in the early afternoon,48,Piper\ne4488,2011/04/16,during lunch hours,42,Piper\ne4495,2011/04/17,during lunch hours,54,\"Kinsley, Lydia\"\ne4496,2011/04/17,in the morning,38,\"Hazel, Kinsley, Claire, Nevaeh\"\ne4497,2011/04/17,during lunch hours,45,\"Hazel, Piper\"\ne4503,2011/04/18,late in the evening,53,\"Kinsley, Lydia, Olivia\"\ne4504,2011/04/18,in the early afternoon,34,\"Claire, Rylee, Lydia, Nora\"\ne4505,2011/04/18,in the late afternoon,20,Rylee\ne4506,2011/04/18,in the early evening,27,\"Eva, Kinsley\"\ne4513,2011/04/19,late in the evening,12,\"Layla, Eva\"\ne4514,2011/04/19,during lunch hours,5,\"Piper, Piper, Avery\"\ne4515,2011/04/19,in the early evening,39,\"Layla, Avery\"\ne4522,2011/04/20,late in the evening,40,Lydia\ne4523,2011/04/20,in the late afternoon,8,Rylee\ne4524,2011/04/20,in the early evening,42,\"Hazel, Piper, Claire, Kinsley\"\ne4531,2011/04/21,during lunch hours,53,Claire\ne4532,2011/04/21,late in the evening,37,\"Lydia, Nora\"\ne4533,2011/04/21,late in the evening,43,Layla\ne4540,2011/04/22,in the early evening,26,\"Hazel, Piper, Olivia, Lydia\"\ne4541,2011/04/22,late in the evening,53,\"Eva, Kinsley, Nevaeh\"\ne4542,2011/04/22,late in the evening,10,\"Lydia, Kinsley, Avery, Piper\"\ne4549,2011/04/23,in the early afternoon,39,\"Piper, Nora, Nevaeh, Lydia\"\ne4550,2011/04/23,late in the evening,45,\"Claire, Piper, Nevaeh, Kinsley\"\ne4557,2011/04/24,in the late afternoon,50,Hazel\ne4558,2011/04/24,in the early afternoon,11,\"Nevaeh, Layla\"\ne4559,2011/04/24,in the morning,12,Eva\ne4566,2011/04/25,in the early evening,23,Piper\ne4567,2011/04/25,during lunch hours,28,\"Lydia, Nora\"\ne4574,2011/04/26,in the early afternoon,41,\"Piper, Olivia\"\ne4575,2011/04/26,late in the evening,36,\"Nevaeh, Nora\"\ne4576,2011/04/26,in the morning,5,\"Nevaeh, Nora\"\ne4577,2011/04/26,in the morning,42,Nevaeh\ne4584,2011/04/27,in the late afternoon,21,\"Layla, Lydia, Kinsley\"\ne4585,2011/04/27,in the late afternoon,27,\"Avery, Hazel, Piper\"\ne4592,2011/04/28,in the late afternoon,27,\"Piper, Nora\"\ne4593,2011/04/28,in the late afternoon,33,\"Nora, Lydia\"\ne4594,2011/04/28,in the morning,33,Piper\ne4595,2011/04/28,during lunch hours,51,\"Nora, Layla\"\ne4602,2011/04/29,in the morning,49,Nevaeh\ne4603,2011/04/29,in the morning,51,Nora\ne4604,2011/04/29,late in the evening,45,\"Claire, Kinsley\"\ne4611,2011/04/30,in the early evening,54,Piper\ne4612,2011/04/30,during lunch hours,39,\"Piper, Layla, Nora\"\ne4613,2011/04/30,in the morning,50,\"Hazel, Rylee, Piper, Layla\"\ne4620,2011/05/01,in the morning,54,\"Piper, Hazel, Avery, Nora\"\ne4621,2011/05/01,in the morning,7,\"Lydia, Avery, Piper\"\ne4628,2011/05/02,during lunch hours,35,Layla\ne4629,2011/05/02,in the early afternoon,51,Piper\ne4636,2011/05/03,late in the evening,36,\"Kinsley, Piper, Nevaeh, Piper\"\ne4637,2011/05/03,late in the evening,27,\"Avery, Rylee, Olivia, Lydia\"\ne4638,2011/05/03,in the late afternoon,51,\"Avery, Piper, Rylee\"\ne4645,2011/05/04,late in the evening,50,\"Kinsley, Piper\"\ne4646,2011/05/04,in the early evening,52,\"Piper, Lydia, Eva, Piper\"\ne4647,2011/05/04,in the morning,47,\"Nevaeh, Lydia, Piper, Nora\"\ne4654,2011/05/05,in the early afternoon,10,\"Piper, Olivia, Hazel, Layla\"\ne4655,2011/05/05,in the early evening,45,Lydia\ne4656,2011/05/05,in the morning,20,\"Rylee, Hazel\"\ne4662,2011/05/06,in the early evening,24,\"Lydia, Piper\"\ne4663,2011/05/06,in the early afternoon,6,\"Olivia, Rylee, Eva\"\ne4664,2011/05/06,in the early evening,40,\"Piper, Eva\"\ne4671,2011/05/07,in the late afternoon,24,Nora\ne4672,2011/05/07,in the early evening,32,\"Kinsley, Claire\"\ne4673,2011/05/07,in the early evening,36,Piper\ne4680,2011/05/08,during lunch hours,30,Claire\ne4681,2011/05/08,in the early afternoon,22,Claire\ne4682,2011/05/08,in the early afternoon,37,\"Olivia, Lydia, Hazel\"\ne4689,2011/05/09,during lunch hours,49,Piper\ne4690,2011/05/09,in the morning,5,Avery\ne4691,2011/05/09,in the morning,33,\"Piper, Avery, Layla\"\ne4698,2011/05/10,in the early evening,8,\"Nevaeh, Olivia\"\ne4699,2011/05/10,in the late afternoon,26,Lydia\ne4706,2011/05/11,during lunch hours,42,\"Eva, Piper, Claire\"\ne4707,2011/05/11,in the early afternoon,42,Eva\ne4714,2011/05/12,in the late afternoon,26,\"Olivia, Nora, Piper, Eva\"\ne4715,2011/05/12,late in the evening,20,\"Claire, Avery, Lydia\"\ne4716,2011/05/12,in the morning,31,\"Piper, Nora, Piper\"\ne4723,2011/05/13,in the early afternoon,51,\"Kinsley, Nevaeh, Lydia\"\ne4724,2011/05/13,late in the evening,42,\"Nora, Claire\"\ne4725,2011/05/13,late in the evening,15,\"Layla, Nevaeh, Hazel\"\ne4732,2011/05/14,during lunch hours,33,Olivia\ne4733,2011/05/14,during lunch hours,26,\"Avery, Olivia, Nora, Kinsley\"\ne4740,2011/05/15,during lunch hours,27,Nora\ne4741,2011/05/15,late in the evening,20,Avery\ne4742,2011/05/15,in the morning,17,\"Nora, Olivia, Piper, Lydia\"\ne4743,2011/05/15,in the early evening,30,\"Piper, Claire, Eva\"\ne4750,2011/05/16,in the early evening,32,Eva\ne4751,2011/05/16,in the early afternoon,27,\"Olivia, Piper\"\ne4752,2011/05/16,in the early evening,50,\"Piper, Nora, Piper, Eva\"\ne4759,2011/05/17,in the early afternoon,37,\"Rylee, Lydia, Nevaeh, Olivia\"\ne4760,2011/05/17,in the early evening,47,\"Piper, Layla, Rylee, Avery\"\ne4761,2011/05/17,in the early afternoon,53,Nora\ne4767,2011/05/18,in the early afternoon,26,\"Piper, Nevaeh\"\ne4768,2011/05/18,in the early afternoon,39,\"Piper, Claire, Lydia\"\ne4775,2011/05/19,in the early afternoon,30,\"Lydia, Layla, Olivia\"\ne4776,2011/05/19,late in the evening,16,\"Nevaeh, Olivia\"\ne4777,2011/05/19,in the late afternoon,41,\"Nevaeh, Rylee, Piper\"\ne4784,2011/05/20,in the early afternoon,35,\"Eva, Kinsley\"\ne4785,2011/05/20,in the early afternoon,39,Piper\ne4786,2011/05/20,in the late afternoon,36,\"Piper, Hazel, Layla, Nora\"\ne4792,2011/05/21,late in the evening,6,\"Avery, Claire, Nevaeh\"\ne4793,2011/05/21,late in the evening,46,Hazel\ne4794,2011/05/21,in the early evening,19,\"Hazel, Olivia, Kinsley\"\ne4795,2011/05/21,during lunch hours,41,\"Lydia, Rylee, Piper\"\ne4802,2011/05/22,in the early evening,33,Layla\ne4803,2011/05/22,in the early afternoon,23,\"Eva, Lydia, Nora, Kinsley\"\ne4804,2011/05/22,during lunch hours,21,\"Nevaeh, Hazel, Nora\"\ne4810,2011/05/23,in the early evening,50,Avery\ne4811,2011/05/23,in the early afternoon,15,Olivia\ne4812,2011/05/23,late in the evening,39,\"Nevaeh, Layla, Piper\"\ne4813,2011/05/23,late in the evening,36,\"Claire, Lydia, Olivia\"\ne4820,2011/05/24,in the early evening,24,\"Hazel, Piper\"\ne4821,2011/05/24,in the early afternoon,11,\"Kinsley, Avery\"\ne4828,2011/05/25,in the morning,21,\"Claire, Lydia, Rylee, Hazel\"\ne4829,2011/05/25,in the early evening,45,Piper\ne4830,2011/05/25,during lunch hours,37,\"Eva, Rylee\"\ne4837,2011/05/26,in the late afternoon,23,Lydia\ne4838,2011/05/26,in the late afternoon,17,\"Nora, Kinsley, Claire\"\ne4839,2011/05/26,during lunch hours,45,\"Lydia, Layla, Piper, Claire\"\ne4846,2011/05/27,late in the evening,48,\"Nora, Kinsley, Piper, Olivia\"\ne4847,2011/05/27,in the early afternoon,14,Lydia\ne4854,2011/05/28,in the early afternoon,12,\"Rylee, Nora, Hazel\"\ne4855,2011/05/28,late in the evening,9,Nora\ne4862,2011/05/29,in the morning,7,Kinsley\ne4863,2011/05/29,in the early evening,25,\"Eva, Rylee, Claire, Avery\"\ne4864,2011/05/29,in the morning,48,Eva\ne4865,2011/05/29,late in the evening,11,Nevaeh\ne4872,2011/05/30,in the early evening,21,Kinsley\ne4873,2011/05/30,late in the evening,44,\"Nora, Claire, Lydia\"\ne4874,2011/05/30,in the morning,25,Eva\ne4881,2011/05/31,late in the evening,23,\"Olivia, Nevaeh, Piper\"\ne4882,2011/05/31,late in the evening,50,\"Hazel, Olivia, Avery\"\ne4889,2011/06/01,in the morning,34,\"Eva, Hazel\"\ne4890,2011/06/01,late in the evening,39,\"Claire, Piper\"\ne4891,2011/06/01,in the morning,19,\"Rylee, Lydia, Nevaeh, Eva\"\ne4898,2011/06/02,late in the evening,48,\"Piper, Avery\"\ne4899,2011/06/02,in the late afternoon,26,\"Rylee, Kinsley\"\ne4900,2011/06/02,during lunch hours,10,\"Eva, Piper, Nora\"\ne4907,2011/06/03,in the early evening,12,\"Nevaeh, Olivia, Layla, Rylee\"\ne4908,2011/06/03,in the early evening,30,\"Olivia, Avery, Piper, Nora\"\ne4915,2011/06/04,in the early evening,14,\"Claire, Piper, Olivia, Kinsley\"\ne4916,2011/06/04,in the early afternoon,42,\"Piper, Nevaeh\"\ne4917,2011/06/04,during lunch hours,44,\"Piper, Claire\"\ne4918,2011/06/04,in the morning,13,\"Avery, Piper, Nora\"\ne4925,2011/06/05,in the late afternoon,52,\"Piper, Lydia, Nevaeh, Hazel\"\ne4926,2011/06/05,during lunch hours,45,\"Nevaeh, Nora\"\ne4927,2011/06/05,in the late afternoon,16,Claire\ne4933,2011/06/06,in the late afternoon,19,\"Nora, Avery, Piper\"\ne4934,2011/06/06,in the early afternoon,25,\"Nora, Lydia\"\ne4940,2011/06/07,in the morning,54,\"Rylee, Kinsley, Eva\"\ne4941,2011/06/07,during lunch hours,25,\"Piper, Avery\"\ne4942,2011/06/07,in the early afternoon,28,Avery\ne4949,2011/06/08,late in the evening,53,\"Claire, Nora, Lydia\"\ne4950,2011/06/08,late in the evening,29,\"Piper, Lydia, Nevaeh, Layla\"\ne4951,2011/06/08,during lunch hours,8,\"Kinsley, Avery, Olivia, Hazel\"\ne4958,2011/06/09,in the early afternoon,13,\"Hazel, Piper\"\ne4959,2011/06/09,in the late afternoon,15,Piper\ne4966,2011/06/10,in the morning,9,\"Layla, Eva, Avery, Kinsley\"\ne4967,2011/06/10,in the early evening,43,Eva\ne4968,2011/06/10,in the late afternoon,30,\"Layla, Rylee, Eva\"\ne4975,2011/06/11,in the early afternoon,27,\"Rylee, Olivia, Piper, Avery\"\ne4976,2011/06/11,late in the evening,50,\"Avery, Layla, Eva\"\ne4977,2011/06/11,in the morning,31,\"Nevaeh, Piper, Lydia, Claire\"\ne4984,2011/06/12,in the morning,36,\"Olivia, Rylee, Nora, Hazel\"\ne4985,2011/06/12,in the late afternoon,9,Eva\ne4986,2011/06/12,late in the evening,11,Avery\ne4987,2011/06/12,in the early evening,45,\"Avery, Claire, Piper, Nora\"\ne4994,2011/06/13,late in the evening,29,\"Layla, Piper\"\ne4995,2011/06/13,late in the evening,43,\"Lydia, Avery, Rylee, Hazel\"\ne5002,2011/06/14,late in the evening,50,\"Nevaeh, Piper, Olivia\"\ne5003,2011/06/14,during lunch hours,40,\"Eva, Nora\"\ne5004,2011/06/14,during lunch hours,55,\"Claire, Layla, Lydia, Rylee\"\ne5011,2011/06/15,in the morning,47,\"Rylee, Eva, Olivia, Claire\"\ne5012,2011/06/15,in the early afternoon,17,Lydia\ne5013,2011/06/15,late in the evening,55,\"Rylee, Olivia, Hazel, Claire\"\ne5020,2011/06/16,late in the evening,33,Piper\ne5021,2011/06/16,in the late afternoon,21,\"Nora, Piper, Hazel\"\ne5022,2011/06/16,in the morning,25,\"Olivia, Piper, Avery\"\ne5029,2011/06/17,in the early afternoon,26,\"Nevaeh, Nora, Lydia, Avery\"\ne5030,2011/06/17,in the early evening,10,Kinsley\ne5031,2011/06/17,in the early afternoon,33,Nora\ne5038,2011/06/18,during lunch hours,24,\"Eva, Olivia, Lydia\"\ne5039,2011/06/18,in the late afternoon,40,\"Claire, Nevaeh, Piper\"\ne5040,2011/06/18,in the late afternoon,8,\"Piper, Layla\"\ne5041,2011/06/18,late in the evening,16,\"Kinsley, Avery, Piper, Eva\"\ne5048,2011/06/19,in the morning,25,\"Eva, Kinsley, Nora, Avery\"\ne5049,2011/06/19,during lunch hours,23,\"Nevaeh, Kinsley, Piper\"\ne5056,2011/06/20,during lunch hours,31,Piper\ne5057,2011/06/20,in the early afternoon,7,\"Claire, Lydia\"\ne5058,2011/06/20,late in the evening,35,\"Claire, Hazel, Nora\"\ne5059,2011/06/20,in the morning,40,\"Piper, Layla, Rylee, Piper\"\ne5066,2011/06/21,during lunch hours,42,Piper\ne5067,2011/06/21,late in the evening,31,\"Olivia, Lydia, Layla\"\ne5068,2011/06/21,late in the evening,10,\"Nora, Hazel\"\ne5069,2011/06/21,in the early evening,51,\"Lydia, Avery\"\ne5076,2011/06/22,in the late afternoon,11,\"Piper, Layla, Rylee, Kinsley\"\ne5077,2011/06/22,during lunch hours,28,\"Claire, Hazel, Piper\"\ne5078,2011/06/22,in the early evening,13,Nora\ne5085,2011/06/23,during lunch hours,8,Rylee\ne5086,2011/06/23,in the late afternoon,26,Nora\ne5093,2011/06/24,late in the evening,20,\"Claire, Piper, Olivia, Kinsley\"\ne5094,2011/06/24,late in the evening,33,Piper\ne5095,2011/06/24,in the early afternoon,48,Lydia\ne5102,2011/06/25,in the early evening,46,Rylee\ne5103,2011/06/25,in the late afternoon,20,\"Rylee, Olivia\"\ne5104,2011/06/25,late in the evening,8,\"Claire, Avery, Eva, Hazel\"\ne5111,2011/06/26,late in the evening,28,\"Eva, Kinsley, Rylee, Lydia\"\ne5112,2011/06/26,in the late afternoon,49,\"Piper, Avery, Lydia, Eva\"\ne5119,2011/06/27,in the early evening,46,\"Kinsley, Avery, Piper, Layla\"\ne5120,2011/06/27,in the early evening,27,\"Avery, Eva, Rylee\"\ne5121,2011/06/27,in the early evening,47,\"Eva, Piper, Nora\"\ne5122,2011/06/27,in the early afternoon,9,Hazel\ne5128,2011/06/28,in the late afternoon,11,\"Piper, Hazel\"\ne5129,2011/06/28,in the early evening,30,\"Nevaeh, Nora, Lydia\"\ne5130,2011/06/28,in the early afternoon,23,\"Claire, Piper, Layla, Nevaeh\"\ne5137,2011/06/29,in the early evening,53,\"Lydia, Nevaeh, Avery\"\ne5138,2011/06/29,in the late afternoon,28,Eva\ne5145,2011/06/30,in the late afternoon,16,Piper\ne5146,2011/06/30,late in the evening,32,\"Nora, Piper, Eva\"\ne5153,2011/07/01,during lunch hours,50,Layla\ne5154,2011/07/01,in the morning,46,\"Rylee, Claire, Hazel, Piper\"\ne5161,2011/07/02,during lunch hours,29,\"Layla, Nora\"\ne5162,2011/07/02,in the late afternoon,14,\"Lydia, Rylee, Eva\"\ne5163,2011/07/02,during lunch hours,22,\"Layla, Nevaeh\"\ne5164,2011/07/02,late in the evening,30,\"Eva, Avery\"\ne5171,2011/07/03,in the early evening,55,\"Kinsley, Claire, Lydia, Piper\"\ne5172,2011/07/03,during lunch hours,12,Eva\ne5173,2011/07/03,in the early evening,11,\"Avery, Nevaeh, Nora\"\ne5180,2011/07/04,during lunch hours,5,\"Piper, Olivia, Hazel\"\ne5181,2011/07/04,in the late afternoon,16,\"Kinsley, Olivia, Piper\"\ne5182,2011/07/04,during lunch hours,35,Avery\ne5183,2011/07/04,late in the evening,18,\"Avery, Olivia\"\ne5190,2011/07/05,in the late afternoon,19,Piper\ne5191,2011/07/05,late in the evening,34,\"Layla, Rylee, Kinsley, Claire\"\ne5198,2011/07/06,in the morning,33,Nora\ne5199,2011/07/06,late in the evening,12,\"Lydia, Avery\"\ne5200,2011/07/06,in the early afternoon,42,\"Hazel, Kinsley, Piper\"\ne5207,2011/07/07,late in the evening,14,\"Kinsley, Claire\"\ne5208,2011/07/07,during lunch hours,28,Nevaeh\ne5209,2011/07/07,late in the evening,11,\"Hazel, Lydia\"\ne5210,2011/07/07,in the late afternoon,53,Avery\ne5217,2011/07/08,during lunch hours,51,Olivia\ne5224,2011/07/09,in the early evening,43,\"Piper, Layla\"\ne5225,2011/07/09,in the morning,47,\"Kinsley, Rylee, Claire\"\ne5232,2011/07/10,during lunch hours,37,Kinsley\ne5233,2011/07/10,during lunch hours,41,Piper\ne5234,2011/07/10,in the early evening,7,Lydia\ne5241,2011/07/11,late in the evening,8,\"Avery, Piper, Kinsley\"\ne5242,2011/07/11,during lunch hours,36,\"Lydia, Piper\"\ne5243,2011/07/11,in the morning,15,Hazel\ne5244,2011/07/11,in the early afternoon,13,Hazel\ne5251,2011/07/12,in the early afternoon,14,Hazel\ne5252,2011/07/12,during lunch hours,32,\"Layla, Hazel\"\ne5253,2011/07/12,late in the evening,36,\"Nora, Kinsley, Claire\"\ne5260,2011/07/13,in the morning,12,\"Nora, Kinsley, Hazel, Piper\"\ne5261,2011/07/13,in the late afternoon,35,\"Claire, Lydia, Olivia, Eva\"\ne5268,2011/07/14,in the morning,55,\"Hazel, Layla\"\ne5269,2011/07/14,late in the evening,16,\"Avery, Claire, Layla, Lydia\"\ne5270,2011/07/14,during lunch hours,49,\"Nora, Piper, Eva\"\ne5277,2011/07/15,in the morning,13,\"Avery, Claire, Kinsley, Layla\"\ne5278,2011/07/15,in the late afternoon,32,Nevaeh\ne5279,2011/07/15,late in the evening,36,\"Avery, Kinsley, Lydia, Piper\"\ne5286,2011/07/16,in the early afternoon,29,\"Nora, Lydia, Avery, Rylee\"\ne5287,2011/07/16,in the early evening,49,\"Rylee, Claire, Eva, Olivia\"\ne5288,2011/07/16,late in the evening,32,\"Nora, Eva, Lydia\"\ne5289,2011/07/16,during lunch hours,6,\"Layla, Piper\"\ne5296,2011/07/17,in the morning,32,\"Kinsley, Lydia, Olivia\"\ne5297,2011/07/17,in the late afternoon,45,\"Hazel, Piper, Lydia, Claire\"\ne5304,2011/07/18,during lunch hours,41,Eva\ne5305,2011/07/18,in the morning,42,Nevaeh\ne5306,2011/07/18,in the early afternoon,39,\"Layla, Avery, Nevaeh, Piper\"\ne5307,2011/07/18,in the morning,34,\"Nora, Hazel\"\ne5314,2011/07/19,late in the evening,45,\"Avery, Hazel, Eva, Lydia\"\ne5315,2011/07/19,late in the evening,30,\"Eva, Lydia, Nevaeh, Rylee\"\ne5322,2011/07/20,in the late afternoon,45,Lydia\ne5323,2011/07/20,in the early afternoon,15,\"Hazel, Piper\"\ne5324,2011/07/20,in the late afternoon,44,Lydia\ne5331,2011/07/21,in the late afternoon,11,\"Claire, Piper, Kinsley\"\ne5332,2011/07/21,in the morning,43,\"Avery, Layla, Piper, Rylee\"\ne5333,2011/07/21,in the early afternoon,41,\"Piper, Nora, Rylee, Lydia\"\ne5334,2011/07/21,in the morning,15,\"Nevaeh, Piper, Avery\"\ne5340,2011/07/22,in the early evening,26,\"Lydia, Claire, Avery, Eva\"\ne5341,2011/07/22,in the early evening,29,Claire\ne5342,2011/07/22,in the early afternoon,7,Lydia\ne5349,2011/07/23,in the morning,21,\"Hazel, Rylee, Avery, Layla\"\ne5350,2011/07/23,in the morning,53,\"Eva, Kinsley, Olivia, Claire\"\ne5351,2011/07/23,in the early afternoon,37,\"Nevaeh, Layla, Nora\"\ne5358,2011/07/24,late in the evening,33,\"Claire, Layla, Piper, Eva\"\ne5359,2011/07/24,in the early afternoon,49,\"Nevaeh, Piper, Nora\"\ne5366,2011/07/25,in the late afternoon,46,Eva\ne5367,2011/07/25,in the early evening,55,\"Avery, Piper, Rylee\"\ne5368,2011/07/25,in the late afternoon,38,\"Claire, Piper\"\ne5369,2011/07/25,in the late afternoon,29,\"Eva, Kinsley, Piper\"\ne5376,2011/07/26,in the late afternoon,7,\"Olivia, Avery\"\ne5377,2011/07/26,late in the evening,24,\"Nevaeh, Nora\"\ne5384,2011/07/27,in the early evening,47,\"Nora, Nevaeh, Piper\"\ne5385,2011/07/27,during lunch hours,38,Lydia\ne5386,2011/07/27,in the early evening,54,\"Rylee, Hazel\"\ne5393,2011/07/28,in the early evening,9,\"Lydia, Piper\"\ne5394,2011/07/28,in the early evening,37,\"Lydia, Hazel, Olivia, Claire\"\ne5401,2011/07/29,in the morning,55,Olivia\ne5402,2011/07/29,in the late afternoon,19,Olivia\ne5409,2011/07/30,during lunch hours,47,\"Kinsley, Rylee, Eva\"\ne5410,2011/07/30,during lunch hours,54,\"Rylee, Nevaeh\"\ne5411,2011/07/30,in the late afternoon,17,\"Nora, Kinsley, Piper, Hazel\"\ne5412,2011/07/30,in the late afternoon,18,Claire\ne5419,2011/07/31,in the early evening,6,\"Lydia, Kinsley\"\ne5420,2011/07/31,in the morning,28,\"Layla, Lydia\"\ne5421,2011/07/31,in the late afternoon,16,\"Claire, Nora\"\ne5428,2011/08/01,in the morning,6,\"Layla, Eva, Hazel\"\ne5429,2011/08/01,in the early afternoon,48,\"Lydia, Piper, Avery\"\ne5430,2011/08/01,in the morning,28,Piper\ne5437,2011/08/02,during lunch hours,49,\"Hazel, Piper, Claire, Eva\"\ne5438,2011/08/02,during lunch hours,21,\"Avery, Nevaeh, Piper\"\ne5439,2011/08/02,in the early afternoon,10,\"Nora, Olivia\"\ne5446,2011/08/03,during lunch hours,38,\"Nevaeh, Piper, Piper, Layla\"\ne5447,2011/08/03,in the late afternoon,44,\"Layla, Kinsley, Eva\"\ne5448,2011/08/03,late in the evening,55,Nevaeh\ne5455,2011/08/04,in the early afternoon,38,\"Piper, Eva, Claire, Rylee\"\ne5456,2011/08/04,in the early afternoon,50,\"Olivia, Eva, Nevaeh, Claire\"\ne5457,2011/08/04,late in the evening,26,\"Piper, Avery\"\ne5464,2011/08/05,late in the evening,31,\"Olivia, Hazel\"\ne5465,2011/08/05,late in the evening,49,Eva\ne5466,2011/08/05,in the early evening,26,Lydia\ne5467,2011/08/05,late in the evening,11,Nora\ne5474,2011/08/06,late in the evening,7,\"Kinsley, Piper, Nevaeh, Piper\"\ne5475,2011/08/06,during lunch hours,44,\"Kinsley, Nora\"\ne5482,2011/08/07,during lunch hours,21,Lydia\ne5483,2011/08/07,in the late afternoon,47,\"Hazel, Nevaeh, Kinsley, Lydia\"\ne5484,2011/08/07,in the early evening,47,\"Kinsley, Olivia, Lydia\"\ne5491,2011/08/08,late in the evening,11,\"Piper, Nora\"\ne5492,2011/08/08,in the early afternoon,31,\"Piper, Olivia, Piper, Eva\"\ne5493,2011/08/08,in the morning,35,\"Avery, Claire\"\ne5500,2011/08/09,in the early evening,31,\"Kinsley, Piper\"\ne5501,2011/08/09,in the early evening,6,\"Layla, Avery, Olivia\"\ne5502,2011/08/09,during lunch hours,5,\"Olivia, Kinsley\"\ne5503,2011/08/09,late in the evening,45,\"Avery, Lydia\"\ne5510,2011/08/10,in the early afternoon,49,\"Eva, Lydia\"\ne5511,2011/08/10,in the early afternoon,32,\"Nora, Lydia, Kinsley, Layla\"\ne5512,2011/08/10,during lunch hours,17,\"Piper, Claire, Kinsley, Lydia\"\ne5519,2011/08/11,late in the evening,11,\"Layla, Olivia\"\ne5520,2011/08/11,in the late afternoon,37,\"Nevaeh, Kinsley, Hazel\"\ne5521,2011/08/11,in the early evening,54,Hazel\ne5528,2011/08/12,in the morning,22,Piper\ne5535,2011/08/13,in the early evening,51,\"Eva, Nevaeh\"\ne5536,2011/08/13,late in the evening,11,\"Eva, Nora\"\ne5537,2011/08/13,in the early evening,14,Rylee\ne5544,2011/08/14,in the early evening,38,\"Claire, Layla\"\ne5545,2011/08/14,during lunch hours,40,\"Avery, Hazel, Piper, Piper\"\ne5546,2011/08/14,in the morning,52,\"Olivia, Piper, Avery, Nora\"\ne5553,2011/08/15,late in the evening,22,\"Hazel, Lydia, Claire, Nora\"\ne5554,2011/08/15,in the early afternoon,31,\"Nora, Piper, Hazel, Kinsley\"\ne5561,2011/08/16,in the early afternoon,39,\"Piper, Layla\"\ne5562,2011/08/16,in the late afternoon,51,\"Layla, Olivia\"\ne5563,2011/08/16,during lunch hours,10,Claire\ne5564,2011/08/16,late in the evening,11,\"Claire, Layla, Lydia, Olivia\"\ne5571,2011/08/17,in the late afternoon,34,\"Lydia, Rylee\"\ne5572,2011/08/17,in the early evening,17,Kinsley\ne5573,2011/08/17,in the early evening,16,\"Piper, Kinsley\"\ne5580,2011/08/18,during lunch hours,10,\"Rylee, Piper\"\ne5581,2011/08/18,in the early evening,44,Piper\ne5588,2011/08/19,in the early afternoon,6,\"Layla, Kinsley, Olivia\"\ne5589,2011/08/19,in the morning,40,\"Eva, Hazel, Avery, Olivia\"\ne5590,2011/08/19,late in the evening,37,\"Piper, Nora, Olivia, Nevaeh\"\ne5597,2011/08/20,in the early afternoon,38,\"Layla, Hazel\"\ne5598,2011/08/20,in the late afternoon,51,Kinsley\ne5599,2011/08/20,in the morning,5,\"Piper, Olivia\"\ne5605,2011/08/21,during lunch hours,24,\"Olivia, Piper\"\ne5606,2011/08/21,in the morning,21,Piper\ne5607,2011/08/21,during lunch hours,48,Kinsley\ne5614,2011/08/22,during lunch hours,46,\"Nevaeh, Avery, Piper, Hazel\"\ne5615,2011/08/22,during lunch hours,46,\"Layla, Olivia, Claire\"\ne5622,2011/08/23,in the early evening,20,Rylee\ne5623,2011/08/23,in the late afternoon,45,\"Hazel, Kinsley\"\ne5624,2011/08/23,during lunch hours,11,Lydia\ne5631,2011/08/24,during lunch hours,19,\"Eva, Avery, Hazel\"\ne5632,2011/08/24,in the early afternoon,23,\"Claire, Kinsley, Layla, Piper\"\ne5633,2011/08/24,in the early evening,48,\"Piper, Avery, Claire\"\ne5640,2011/08/25,in the late afternoon,43,\"Olivia, Piper, Claire, Eva\"\ne5641,2011/08/25,in the morning,22,\"Eva, Nevaeh\"\ne5642,2011/08/25,in the morning,14,\"Piper, Lydia, Eva\"\ne5649,2011/08/26,in the morning,31,Nevaeh\ne5650,2011/08/26,in the early afternoon,49,\"Avery, Claire, Nora, Piper\"\ne5657,2011/08/27,in the early evening,32,\"Piper, Olivia, Eva, Avery\"\ne5658,2011/08/27,during lunch hours,19,\"Nora, Avery\"\ne5659,2011/08/27,in the early afternoon,14,\"Olivia, Piper, Lydia, Nevaeh\"\ne5660,2011/08/27,in the late afternoon,38,Nevaeh\ne5667,2011/08/28,in the morning,50,\"Layla, Piper, Hazel, Lydia\"\ne5668,2011/08/28,late in the evening,11,\"Kinsley, Nevaeh, Avery\"\ne5669,2011/08/28,in the morning,39,\"Claire, Kinsley\"\ne5676,2011/08/29,in the morning,6,\"Hazel, Claire, Eva\"\ne5677,2011/08/29,late in the evening,19,\"Piper, Hazel, Piper, Claire\"\ne5684,2011/08/30,in the early evening,31,\"Lydia, Layla, Hazel\"\ne5685,2011/08/30,during lunch hours,43,\"Layla, Rylee\"\ne5686,2011/08/30,in the early afternoon,24,\"Nora, Hazel, Rylee\"\ne5692,2011/08/31,in the late afternoon,35,Hazel\ne5693,2011/08/31,in the early evening,19,Avery\ne5694,2011/08/31,during lunch hours,12,\"Rylee, Claire, Kinsley, Avery\"\ne5701,2011/09/01,late in the evening,55,\"Lydia, Piper, Avery\"\ne5702,2011/09/01,during lunch hours,26,Hazel\ne5703,2011/09/01,in the morning,20,\"Avery, Hazel, Rylee, Lydia\"\ne5710,2011/09/02,in the early afternoon,36,\"Nora, Eva, Piper\"\ne5711,2011/09/02,during lunch hours,35,Kinsley\ne5712,2011/09/02,in the early evening,37,Eva\ne5718,2011/09/03,in the early evening,42,\"Nevaeh, Hazel, Layla\"\ne5719,2011/09/03,in the early afternoon,37,Hazel\ne5726,2011/09/04,in the early evening,5,\"Rylee, Kinsley, Piper\"\ne5727,2011/09/04,in the early evening,19,\"Olivia, Piper\"\ne5728,2011/09/04,in the morning,48,Avery\ne5729,2011/09/04,late in the evening,40,Avery\ne5736,2011/09/05,late in the evening,47,\"Claire, Piper, Nevaeh, Hazel\"\ne5737,2011/09/05,in the early afternoon,9,Avery\ne5738,2011/09/05,in the late afternoon,31,\"Lydia, Claire, Piper, Kinsley\"\ne5739,2011/09/05,in the early afternoon,19,Lydia\ne5746,2011/09/06,late in the evening,55,\"Rylee, Avery, Nora, Nevaeh\"\ne5753,2011/09/07,in the early evening,18,\"Piper, Nevaeh\"\ne5754,2011/09/07,in the morning,31,\"Lydia, Rylee, Avery, Piper\"\ne5755,2011/09/07,in the early evening,37,\"Avery, Lydia, Layla, Rylee\"\ne5762,2011/09/08,in the late afternoon,33,\"Lydia, Piper\"\ne5763,2011/09/08,during lunch hours,52,\"Piper, Nevaeh, Claire\"\ne5764,2011/09/08,during lunch hours,9,\"Olivia, Piper, Nora, Kinsley\"\ne5770,2011/09/09,in the late afternoon,26,\"Lydia, Layla, Claire\"\ne5771,2011/09/09,in the late afternoon,5,Piper\ne5778,2011/09/10,in the morning,37,\"Piper, Layla, Avery, Olivia\"\ne5779,2011/09/10,during lunch hours,36,\"Rylee, Eva, Hazel\"\ne5780,2011/09/10,in the early evening,44,Hazel\ne5787,2011/09/11,in the early afternoon,39,\"Hazel, Avery\"\ne5788,2011/09/11,in the early afternoon,19,\"Nevaeh, Piper, Avery\"\ne5789,2011/09/11,in the early afternoon,39,Nevaeh\ne5790,2011/09/11,in the morning,16,\"Piper, Nora, Kinsley\"\ne5797,2011/09/12,in the early afternoon,16,\"Hazel, Olivia, Nora\"\ne5798,2011/09/12,in the early evening,49,Eva\ne5799,2011/09/12,in the morning,6,\"Olivia, Piper, Kinsley\"\ne5806,2011/09/13,in the late afternoon,27,\"Piper, Layla, Nevaeh\"\ne5807,2011/09/13,during lunch hours,34,\"Rylee, Avery, Lydia, Kinsley\"\ne5808,2011/09/13,late in the evening,24,\"Claire, Kinsley, Hazel\"\ne5815,2011/09/14,late in the evening,41,\"Olivia, Hazel, Rylee, Piper\"\ne5816,2011/09/14,during lunch hours,46,\"Nora, Piper, Lydia\"\ne5817,2011/09/14,late in the evening,15,Rylee\ne5824,2011/09/15,in the morning,39,Olivia\ne5825,2011/09/15,late in the evening,5,\"Kinsley, Piper, Layla, Lydia\"\ne5826,2011/09/15,in the late afternoon,43,\"Nevaeh, Rylee, Olivia, Eva\"\ne5833,2011/09/16,during lunch hours,51,\"Lydia, Avery, Eva, Nevaeh\"\ne5834,2011/09/16,in the early evening,55,Nevaeh\ne5835,2011/09/16,in the late afternoon,12,\"Nevaeh, Piper, Hazel\"\ne5842,2011/09/17,late in the evening,34,Piper\ne5843,2011/09/17,in the late afternoon,24,Nora\ne5844,2011/09/17,in the late afternoon,23,Rylee\ne5851,2011/09/18,during lunch hours,35,\"Layla, Olivia\"\ne5852,2011/09/18,in the early afternoon,25,Layla\ne5859,2011/09/19,in the morning,29,Nora\ne5860,2011/09/19,in the early evening,27,Olivia\ne5867,2011/09/20,in the early evening,52,\"Layla, Rylee, Nora, Hazel\"\ne5874,2011/09/21,in the morning,52,\"Nora, Eva, Olivia\"\ne5875,2011/09/21,during lunch hours,22,Rylee\ne5876,2011/09/21,in the early evening,17,\"Lydia, Nora, Eva, Claire\"\ne5877,2011/09/21,late in the evening,9,\"Avery, Hazel\"\ne5884,2011/09/22,late in the evening,39,Kinsley\ne5885,2011/09/22,in the early evening,37,\"Nevaeh, Lydia\"\ne5886,2011/09/22,in the late afternoon,6,\"Claire, Layla, Olivia\"\ne5887,2011/09/22,in the early evening,25,Piper\ne5894,2011/09/23,in the late afternoon,34,\"Olivia, Nora, Claire, Avery\"\ne5895,2011/09/23,in the early evening,32,Piper\ne5896,2011/09/23,in the early afternoon,54,\"Piper, Piper\"\ne5903,2011/09/24,in the morning,17,Claire\ne5904,2011/09/24,in the morning,11,\"Layla, Eva, Claire, Piper\"\ne5905,2011/09/24,in the morning,51,\"Rylee, Claire, Hazel, Nevaeh\"\ne5912,2011/09/25,in the late afternoon,20,\"Avery, Layla, Rylee\"\ne5913,2011/09/25,in the early afternoon,10,\"Olivia, Piper\"\ne5914,2011/09/25,during lunch hours,51,Nevaeh\ne5920,2011/09/26,during lunch hours,49,\"Rylee, Avery, Olivia, Eva\"\ne5921,2011/09/26,in the early evening,40,Rylee\ne5928,2011/09/27,in the early evening,43,\"Avery, Kinsley, Rylee\"\ne5929,2011/09/27,in the early evening,7,\"Piper, Eva, Hazel\"\ne5930,2011/09/27,in the early evening,24,Avery\ne5937,2011/09/28,in the early afternoon,55,Rylee\ne5938,2011/09/28,in the late afternoon,24,Piper\ne5939,2011/09/28,in the early evening,17,\"Piper, Nora, Eva\"\ne5940,2011/09/28,during lunch hours,31,\"Lydia, Olivia, Piper\"\ne5947,2011/09/29,in the morning,48,Layla\ne5948,2011/09/29,in the early evening,37,Avery\ne5955,2011/09/30,in the early evening,49,\"Eva, Layla\"\ne5956,2011/09/30,in the late afternoon,9,Eva\ne5957,2011/09/30,late in the evening,39,\"Rylee, Layla, Eva, Olivia\"\ne5958,2011/09/30,in the early afternoon,23,\"Layla, Lydia\"\ne5965,2011/10/01,late in the evening,6,\"Olivia, Lydia, Rylee\"\ne5966,2011/10/01,during lunch hours,28,\"Eva, Hazel, Nora\"\ne5967,2011/10/01,in the late afternoon,25,\"Lydia, Claire\"\ne5968,2011/10/01,late in the evening,36,\"Piper, Hazel, Avery, Nevaeh\"\ne5975,2011/10/02,during lunch hours,27,\"Hazel, Piper\"\ne5976,2011/10/02,in the late afternoon,49,\"Layla, Piper\"\ne5983,2011/10/03,in the early afternoon,19,\"Layla, Rylee, Avery\"\ne5984,2011/10/03,in the early afternoon,16,Piper\ne5985,2011/10/03,in the early evening,29,\"Layla, Rylee, Claire\"\ne5991,2011/10/04,in the early evening,52,\"Lydia, Piper, Rylee, Hazel\"\ne5992,2011/10/04,during lunch hours,51,\"Rylee, Avery\"\ne5993,2011/10/04,in the early afternoon,51,\"Layla, Piper\"\ne6000,2011/10/05,in the morning,32,\"Eva, Olivia\"\ne6007,2011/10/06,in the early afternoon,38,\"Layla, Olivia\"\ne6008,2011/10/06,in the early evening,11,Nevaeh\ne6009,2011/10/06,in the early evening,51,Piper\ne6016,2011/10/07,in the early afternoon,21,\"Piper, Eva, Claire\"\ne6023,2011/10/08,in the early evening,11,\"Nevaeh, Lydia, Layla\"\ne6024,2011/10/08,in the morning,41,\"Eva, Nora\"\ne6031,2011/10/09,during lunch hours,21,\"Eva, Claire, Lydia\"\ne6032,2011/10/09,in the late afternoon,32,\"Eva, Olivia, Claire, Nora\"\ne6033,2011/10/09,in the early afternoon,47,\"Olivia, Piper, Eva, Claire\"\ne6040,2011/10/10,in the early evening,47,\"Kinsley, Olivia, Piper\"\ne6041,2011/10/10,in the early evening,46,\"Rylee, Layla, Eva, Hazel\"\ne6042,2011/10/10,during lunch hours,35,\"Rylee, Piper, Layla, Nevaeh\"\ne6048,2011/10/11,in the early evening,17,\"Rylee, Avery, Claire, Kinsley\"\ne6049,2011/10/11,in the late afternoon,20,Kinsley\ne6050,2011/10/11,in the morning,13,\"Lydia, Piper\"\ne6057,2011/10/12,late in the evening,22,\"Claire, Hazel, Nora, Nevaeh\"\ne6058,2011/10/12,during lunch hours,29,\"Piper, Piper\"\ne6065,2011/10/13,in the early evening,42,Layla\ne6066,2011/10/13,late in the evening,47,\"Kinsley, Layla, Claire, Hazel\"\ne6067,2011/10/13,in the early evening,45,\"Rylee, Kinsley\"\ne6074,2011/10/14,during lunch hours,28,\"Piper, Rylee, Nevaeh, Hazel\"\ne6075,2011/10/14,in the early afternoon,47,Nora\ne6082,2011/10/15,during lunch hours,14,\"Nora, Piper, Avery\"\ne6083,2011/10/15,in the early evening,31,Eva\ne6084,2011/10/15,in the late afternoon,30,\"Hazel, Rylee, Kinsley\"\ne6091,2011/10/16,in the morning,36,\"Olivia, Rylee\"\ne6092,2011/10/16,late in the evening,45,\"Claire, Eva\"\ne6093,2011/10/16,in the morning,24,\"Hazel, Layla, Rylee, Olivia\"\ne6100,2011/10/17,late in the evening,14,\"Piper, Avery, Layla\"\ne6101,2011/10/17,in the late afternoon,35,\"Claire, Nevaeh, Nora\"\ne6102,2011/10/17,in the late afternoon,25,\"Hazel, Avery, Piper\"\ne6109,2011/10/18,in the early afternoon,21,\"Piper, Eva, Nevaeh, Nora\"\ne6110,2011/10/18,during lunch hours,30,\"Olivia, Avery, Piper, Rylee\"\ne6111,2011/10/18,in the late afternoon,8,\"Eva, Claire\"\ne6118,2011/10/19,in the early afternoon,39,Piper\ne6119,2011/10/19,late in the evening,14,Nora\ne6120,2011/10/19,in the late afternoon,17,\"Nevaeh, Layla, Piper, Rylee\"\ne6121,2011/10/19,during lunch hours,49,\"Nora, Piper, Lydia, Olivia\"\ne6127,2011/10/20,in the early afternoon,8,Nevaeh\ne6128,2011/10/20,in the late afternoon,24,\"Claire, Nevaeh\"\ne6129,2011/10/20,in the early evening,27,\"Avery, Hazel, Rylee\"\ne6136,2011/10/21,in the late afternoon,41,\"Piper, Nora, Avery, Olivia\"\ne6143,2011/10/22,in the late afternoon,42,\"Piper, Olivia\"\ne6144,2011/10/22,in the early evening,24,\"Layla, Olivia, Hazel, Rylee\"\ne6151,2011/10/23,in the morning,6,\"Rylee, Hazel\"\ne6152,2011/10/23,during lunch hours,40,\"Piper, Avery\"\ne6153,2011/10/23,in the late afternoon,47,\"Kinsley, Hazel, Olivia, Lydia\"\ne6160,2011/10/24,in the late afternoon,50,\"Piper, Nora\"\ne6161,2011/10/24,in the early evening,18,\"Piper, Olivia, Eva\"\ne6162,2011/10/24,in the morning,45,Layla\ne6169,2011/10/25,during lunch hours,12,\"Piper, Hazel\"\ne6170,2011/10/25,in the morning,54,\"Nevaeh, Piper, Claire, Avery\"\ne6177,2011/10/26,in the early evening,33,\"Hazel, Piper\"\ne6178,2011/10/26,during lunch hours,41,\"Rylee, Eva, Avery, Piper\"\ne6179,2011/10/26,during lunch hours,17,\"Piper, Rylee, Olivia, Nevaeh\"\ne6186,2011/10/27,during lunch hours,36,Avery\ne6187,2011/10/27,late in the evening,29,Rylee\ne6194,2011/10/28,in the late afternoon,45,\"Piper, Olivia, Lydia\"\ne6195,2011/10/28,late in the evening,46,Claire\ne6196,2011/10/28,in the morning,49,\"Lydia, Layla, Eva, Avery\"\ne6197,2011/10/28,during lunch hours,5,\"Olivia, Hazel\"\ne6204,2011/10/29,in the late afternoon,10,\"Piper, Olivia, Nevaeh\"\ne6205,2011/10/29,in the late afternoon,33,Piper\ne6206,2011/10/29,in the late afternoon,33,\"Olivia, Piper, Piper, Kinsley\"\ne6213,2011/10/30,during lunch hours,7,\"Nevaeh, Rylee, Piper\"\ne6214,2011/10/30,in the early evening,28,\"Hazel, Layla\"\ne6215,2011/10/30,in the early evening,7,\"Eva, Nevaeh, Nora\"\ne6216,2011/10/30,in the late afternoon,47,\"Layla, Nevaeh\"\ne6223,2011/10/31,in the late afternoon,36,\"Kinsley, Nora\"\ne6224,2011/10/31,in the late afternoon,33,Rylee\ne6225,2011/10/31,during lunch hours,19,Lydia\ne6226,2011/10/31,in the late afternoon,24,Claire\ne6233,2011/11/01,in the late afternoon,39,\"Nevaeh, Piper, Avery, Rylee\"\ne6234,2011/11/01,late in the evening,24,\"Nora, Eva, Avery\"\ne6235,2011/11/01,during lunch hours,53,\"Piper, Hazel, Kinsley\"\ne6236,2011/11/01,in the morning,27,\"Eva, Avery, Piper, Hazel\"\ne6243,2011/11/02,in the morning,6,Avery\ne6244,2011/11/02,in the early afternoon,9,\"Lydia, Olivia, Claire\"\ne6245,2011/11/02,late in the evening,40,\"Lydia, Olivia\"\ne6251,2011/11/03,in the late afternoon,11,\"Eva, Rylee\"\ne6252,2011/11/03,during lunch hours,46,\"Olivia, Lydia, Piper, Rylee\"\ne6253,2011/11/03,in the late afternoon,7,\"Layla, Rylee\"\ne6260,2011/11/04,late in the evening,37,\"Rylee, Avery, Piper\"\ne6261,2011/11/04,late in the evening,8,Nevaeh\ne6262,2011/11/04,during lunch hours,54,\"Avery, Piper, Claire\"\ne6263,2011/11/04,late in the evening,13,Layla\ne6270,2011/11/05,in the early afternoon,45,Piper\ne6271,2011/11/05,in the early evening,15,Avery\ne6272,2011/11/05,late in the evening,11,\"Olivia, Hazel, Nora\"\ne6278,2011/11/06,in the early evening,27,Piper\ne6279,2011/11/06,during lunch hours,45,Olivia\ne6280,2011/11/06,late in the evening,29,Layla\ne6287,2011/11/07,during lunch hours,23,\"Eva, Piper, Lydia, Rylee\"\ne6288,2011/11/07,late in the evening,23,\"Piper, Nevaeh, Lydia\"\ne6295,2011/11/08,during lunch hours,55,\"Claire, Eva, Nevaeh, Piper\"\ne6302,2011/11/09,in the morning,55,Layla\ne6303,2011/11/09,in the late afternoon,18,\"Olivia, Piper, Eva, Claire\"\ne6304,2011/11/09,in the early afternoon,47,Claire\ne6311,2011/11/10,late in the evening,15,\"Rylee, Nevaeh, Layla, Eva\"\ne6312,2011/11/10,in the morning,35,\"Lydia, Hazel\"\ne6313,2011/11/10,in the early evening,18,\"Piper, Avery, Nora, Claire\"\ne6320,2011/11/11,during lunch hours,32,\"Claire, Piper\"\ne6321,2011/11/11,in the early evening,23,\"Eva, Piper\"\ne6322,2011/11/11,during lunch hours,47,\"Olivia, Avery, Nora\"\ne6329,2011/11/12,in the late afternoon,40,\"Lydia, Olivia, Nevaeh, Claire\"\ne6330,2011/11/12,in the late afternoon,43,\"Nevaeh, Nora, Avery\"\ne6331,2011/11/12,in the early afternoon,38,\"Piper, Eva\"\ne6332,2011/11/12,in the early afternoon,51,\"Piper, Layla\"\ne6339,2011/11/13,in the morning,53,\"Nevaeh, Avery, Eva\"\ne6340,2011/11/13,in the late afternoon,29,Avery\ne6341,2011/11/13,in the morning,5,\"Piper, Piper, Nevaeh\"\ne6342,2011/11/13,in the morning,5,\"Nevaeh, Eva\"\ne6348,2011/11/14,during lunch hours,35,\"Rylee, Hazel, Olivia, Nora\"\ne6349,2011/11/14,in the early evening,48,\"Nevaeh, Piper\"\ne6356,2011/11/15,in the early afternoon,9,\"Piper, Layla, Avery, Nora\"\ne6357,2011/11/15,in the early evening,30,Kinsley\ne6358,2011/11/15,in the early afternoon,13,\"Lydia, Claire\"\ne6365,2011/11/16,in the early evening,5,\"Layla, Kinsley, Nora\"\ne6366,2011/11/16,in the morning,46,\"Layla, Hazel, Lydia, Kinsley\"\ne6373,2011/11/17,in the early evening,47,\"Nora, Piper, Hazel\"\ne6374,2011/11/17,during lunch hours,27,\"Piper, Nora, Lydia\"\ne6375,2011/11/17,late in the evening,42,Nora\ne6382,2011/11/18,in the early afternoon,16,Lydia\ne6383,2011/11/18,during lunch hours,37,\"Piper, Claire, Lydia\"\ne6390,2011/11/19,late in the evening,30,\"Lydia, Rylee, Avery, Nevaeh\"\ne6391,2011/11/19,in the early evening,49,\"Claire, Kinsley, Nora, Nevaeh\"\ne6398,2011/11/20,in the early evening,54,Nora\ne6399,2011/11/20,in the early evening,20,\"Rylee, Hazel, Layla, Claire\"\ne6400,2011/11/20,in the late afternoon,5,\"Hazel, Nevaeh, Nora, Eva\"\ne6407,2011/11/21,in the late afternoon,14,\"Piper, Claire, Rylee\"\ne6408,2011/11/21,in the early afternoon,24,Piper\ne6409,2011/11/21,late in the evening,12,\"Eva, Piper, Olivia, Kinsley\"\ne6415,2011/11/22,in the late afternoon,53,\"Olivia, Rylee, Layla\"\ne6416,2011/11/22,in the late afternoon,49,\"Piper, Olivia\"\ne6417,2011/11/22,in the early evening,11,\"Lydia, Eva, Piper, Hazel\"\ne6424,2011/11/23,in the early afternoon,24,\"Piper, Nevaeh, Layla, Eva\"\ne6425,2011/11/23,in the late afternoon,21,\"Avery, Nevaeh\"\ne6426,2011/11/23,late in the evening,8,\"Piper, Nevaeh, Eva\"\ne6433,2011/11/24,in the late afternoon,5,Piper\ne6434,2011/11/24,in the early evening,43,\"Lydia, Eva, Nevaeh\"\ne6435,2011/11/24,in the early evening,21,\"Hazel, Lydia\"\ne6442,2011/11/25,in the early afternoon,31,Eva\ne6443,2011/11/25,in the late afternoon,48,\"Avery, Layla\"\ne6444,2011/11/25,in the early afternoon,7,\"Olivia, Lydia\"\ne6445,2011/11/25,in the late afternoon,40,Rylee\ne6452,2011/11/26,in the morning,53,\"Hazel, Piper, Nora\"\ne6453,2011/11/26,during lunch hours,47,Nevaeh\ne6460,2011/11/27,in the late afternoon,55,\"Piper, Eva, Nora\"\ne6461,2011/11/27,in the late afternoon,19,\"Rylee, Lydia\"\ne6468,2011/11/28,in the late afternoon,10,\"Avery, Olivia, Layla, Hazel\"\ne6469,2011/11/28,in the morning,17,\"Nora, Rylee, Layla, Avery\"\ne6470,2011/11/28,in the morning,17,\"Avery, Piper, Lydia\"\ne6471,2011/11/28,late in the evening,8,\"Piper, Lydia, Nevaeh, Piper\"\ne6478,2011/11/29,late in the evening,18,\"Olivia, Eva, Piper\"\ne6479,2011/11/29,in the early afternoon,16,\"Lydia, Kinsley, Rylee\"\ne6480,2011/11/29,in the morning,41,\"Olivia, Nora\"\ne6481,2011/11/29,in the early evening,18,\"Kinsley, Nevaeh\"\ne6488,2011/11/30,in the late afternoon,35,\"Piper, Hazel\"\ne6489,2011/11/30,late in the evening,39,\"Claire, Lydia, Layla, Olivia\"\ne6490,2011/11/30,during lunch hours,5,\"Rylee, Layla\"\ne6491,2011/11/30,in the morning,39,\"Olivia, Claire, Layla\"\ne6498,2011/12/01,in the early afternoon,49,\"Nevaeh, Olivia, Piper\"\ne6499,2011/12/01,in the morning,12,\"Piper, Piper, Eva, Lydia\"\ne6506,2011/12/02,in the morning,46,\"Lydia, Nora, Claire\"\ne6507,2011/12/02,in the late afternoon,8,\"Piper, Hazel, Kinsley\"\ne6508,2011/12/02,during lunch hours,43,Kinsley\ne6515,2011/12/03,during lunch hours,46,\"Nevaeh, Nora\"\ne6516,2011/12/03,in the early afternoon,19,\"Kinsley, Piper\"\ne6517,2011/12/03,late in the evening,43,\"Rylee, Piper\"\ne6524,2011/12/04,in the early afternoon,46,\"Hazel, Kinsley, Piper, Nevaeh\"\ne6525,2011/12/04,in the early afternoon,32,\"Lydia, Olivia\"\ne6532,2011/12/05,in the morning,8,\"Avery, Piper\"\ne6533,2011/12/05,in the early afternoon,32,Hazel\ne6534,2011/12/05,during lunch hours,22,\"Nora, Piper\"\ne6541,2011/12/06,in the late afternoon,29,Nevaeh\ne6542,2011/12/06,in the early evening,40,\"Lydia, Hazel, Claire, Olivia\"\ne6543,2011/12/06,during lunch hours,17,\"Eva, Kinsley\"\ne6544,2011/12/06,during lunch hours,11,Piper\ne6551,2011/12/07,in the early afternoon,15,\"Avery, Olivia\"\ne6552,2011/12/07,late in the evening,12,Avery\ne6559,2011/12/08,late in the evening,23,Olivia\ne6560,2011/12/08,in the late afternoon,37,\"Claire, Avery, Piper, Eva\"\ne6561,2011/12/08,in the late afternoon,46,\"Avery, Lydia, Nora\"\ne6568,2011/12/09,in the late afternoon,55,\"Piper, Claire, Lydia, Eva\"\ne6569,2011/12/09,during lunch hours,31,\"Piper, Layla, Nora\"\ne6570,2011/12/09,in the morning,46,\"Lydia, Avery, Hazel\"\ne6577,2011/12/10,late in the evening,9,\"Layla, Eva\"\ne6578,2011/12/10,in the early evening,27,\"Lydia, Piper\"\ne6585,2011/12/11,in the morning,51,\"Nevaeh, Eva, Piper\"\ne6586,2011/12/11,in the early afternoon,11,\"Rylee, Avery, Piper, Claire\"\ne6587,2011/12/11,in the morning,20,\"Kinsley, Piper\"\ne6594,2011/12/12,in the early evening,6,Hazel\ne6595,2011/12/12,in the early afternoon,11,\"Nevaeh, Avery, Hazel\"\ne6601,2011/12/13,in the morning,39,\"Nora, Piper\"\ne6602,2011/12/13,late in the evening,17,Nora\ne6603,2011/12/13,in the early evening,15,Layla\ne6610,2011/12/14,in the morning,12,Olivia\ne6611,2011/12/14,in the early afternoon,21,\"Piper, Hazel\"\ne6612,2011/12/14,in the early afternoon,44,\"Olivia, Rylee, Eva, Avery\"\ne6613,2011/12/14,in the early afternoon,39,\"Nora, Piper\"\ne6620,2011/12/15,in the morning,16,\"Hazel, Olivia, Piper, Layla\"\ne6621,2011/12/15,during lunch hours,11,\"Claire, Layla, Rylee, Kinsley\"\ne6622,2011/12/15,during lunch hours,53,\"Nora, Nevaeh, Olivia, Avery\"\ne6629,2011/12/16,late in the evening,48,\"Nevaeh, Claire\"\ne6630,2011/12/16,late in the evening,38,\"Rylee, Claire, Eva, Layla\"\ne6631,2011/12/16,in the early afternoon,55,\"Nevaeh, Rylee, Piper, Avery\"\ne6638,2011/12/17,during lunch hours,23,\"Kinsley, Olivia, Avery, Rylee\"\ne6639,2011/12/17,during lunch hours,40,\"Hazel, Piper\"\ne6640,2011/12/17,in the late afternoon,36,\"Rylee, Avery\"\ne6647,2011/12/18,in the early evening,18,\"Olivia, Nora\"\ne6648,2011/12/18,during lunch hours,55,Lydia\ne6655,2011/12/19,in the late afternoon,54,\"Avery, Piper\"\ne6656,2011/12/19,during lunch hours,10,\"Layla, Eva\"\ne6657,2011/12/19,in the late afternoon,24,\"Rylee, Lydia, Eva\"\ne6664,2011/12/20,in the early evening,51,\"Piper, Claire, Olivia\"\ne6665,2011/12/20,in the early evening,19,Hazel\ne6666,2011/12/20,in the early afternoon,36,\"Eva, Kinsley\"\ne6673,2011/12/21,during lunch hours,19,\"Layla, Rylee\"\ne6674,2011/12/21,during lunch hours,38,Rylee\ne6681,2011/12/22,in the morning,32,\"Rylee, Piper\"\ne6682,2011/12/22,in the early evening,29,\"Olivia, Hazel, Nora\"\ne6683,2011/12/22,in the morning,33,\"Eva, Rylee, Kinsley, Piper\"\ne6690,2011/12/23,in the early evening,27,\"Olivia, Avery\"\ne6691,2011/12/23,in the morning,55,Olivia\ne6698,2011/12/24,in the late afternoon,24,\"Lydia, Piper\"\ne6699,2011/12/24,during lunch hours,7,\"Nevaeh, Eva\"\ne6706,2011/12/25,in the late afternoon,11,\"Lydia, Claire, Nora\"\ne6707,2011/12/25,in the early afternoon,15,\"Rylee, Olivia\"\ne6714,2011/12/26,in the early afternoon,25,Lydia\ne6715,2011/12/26,in the early evening,13,Piper\ne6716,2011/12/26,in the morning,9,\"Nevaeh, Avery, Lydia, Nora\"\ne6723,2011/12/27,during lunch hours,55,Eva\ne6724,2011/12/27,in the early evening,13,\"Eva, Olivia, Piper\"\ne6725,2011/12/27,in the early evening,14,\"Piper, Lydia, Claire\"\ne6731,2011/12/28,in the early afternoon,22,\"Kinsley, Avery, Lydia, Olivia\"\ne6732,2011/12/28,in the morning,25,Rylee\ne6733,2011/12/28,in the morning,26,Hazel\ne6740,2011/12/29,in the early evening,39,Claire\ne6741,2011/12/29,in the morning,54,\"Hazel, Nora, Piper, Piper\"\ne6742,2011/12/29,in the early evening,27,\"Nora, Claire\"\ne6749,2011/12/30,in the early afternoon,44,\"Piper, Rylee, Lydia, Kinsley\"\ne6750,2011/12/30,during lunch hours,10,\"Piper, Kinsley\"\ne6751,2011/12/30,in the early afternoon,46,Olivia\ne6758,2011/12/31,late in the evening,50,\"Avery, Olivia, Rylee, Piper\"\ne6759,2011/12/31,in the early evening,16,\"Kinsley, Nora, Nevaeh\"\ne6760,2011/12/31,in the late afternoon,25,\"Hazel, Nevaeh\"\ne6963,2012/01/01,during lunch hours,25,Lydia\ne6964,2012/01/01,in the morning,36,\"Piper, Hazel\"\ne6971,2012/01/02,in the morning,52,\"Layla, Nora\"\ne6972,2012/01/02,late in the evening,23,\"Layla, Piper\"\ne6973,2012/01/02,in the late afternoon,12,Eva\ne6974,2012/01/02,late in the evening,35,\"Piper, Layla, Hazel, Kinsley\"\ne6981,2012/01/03,in the late afternoon,52,\"Claire, Nora, Kinsley\"\ne6982,2012/01/03,in the late afternoon,29,Hazel\ne6983,2012/01/03,during lunch hours,37,Rylee\ne6984,2012/01/03,in the morning,52,\"Kinsley, Claire, Layla, Piper\"\ne6991,2012/01/04,in the early afternoon,23,\"Piper, Claire\"\ne6992,2012/01/04,during lunch hours,29,\"Claire, Hazel, Kinsley, Piper\"\ne6999,2012/01/05,in the late afternoon,53,\"Kinsley, Nevaeh, Piper, Avery\"\ne7000,2012/01/05,during lunch hours,20,\"Avery, Nora, Lydia\"\ne7001,2012/01/05,in the morning,19,Nevaeh\ne7008,2012/01/06,in the morning,52,Avery\ne7009,2012/01/06,in the late afternoon,39,\"Hazel, Claire\"\ne7010,2012/01/06,in the early afternoon,19,\"Hazel, Olivia\"\ne7017,2012/01/07,in the morning,31,\"Rylee, Avery, Olivia\"\ne7018,2012/01/07,in the early evening,32,\"Nora, Claire, Lydia, Eva\"\ne7019,2012/01/07,during lunch hours,50,Rylee\ne7020,2012/01/07,in the early evening,39,\"Avery, Kinsley, Layla\"\ne7027,2012/01/08,in the morning,52,Lydia\ne7028,2012/01/08,in the early afternoon,36,\"Avery, Eva\"\ne7029,2012/01/08,during lunch hours,46,\"Piper, Avery, Nora, Kinsley\"\ne7030,2012/01/08,in the early evening,6,Piper\ne7037,2012/01/09,in the late afternoon,35,Hazel\ne7038,2012/01/09,late in the evening,50,\"Olivia, Rylee, Nevaeh\"\ne7039,2012/01/09,in the early evening,51,Piper\ne7046,2012/01/10,in the early afternoon,15,\"Rylee, Claire, Eva\"\ne7047,2012/01/10,in the late afternoon,18,\"Olivia, Rylee\"\ne7048,2012/01/10,late in the evening,18,Rylee\ne7055,2012/01/11,in the early evening,35,\"Olivia, Piper, Piper, Hazel\"\ne7056,2012/01/11,late in the evening,22,\"Kinsley, Eva\"\ne7063,2012/01/12,in the early evening,15,Nora\ne7064,2012/01/12,in the early afternoon,30,\"Claire, Nevaeh, Avery, Nora\"\ne7071,2012/01/13,in the early evening,21,\"Rylee, Claire\"\ne7072,2012/01/13,in the morning,13,\"Rylee, Piper, Eva, Nevaeh\"\ne7073,2012/01/13,during lunch hours,42,\"Lydia, Rylee\"\ne7080,2012/01/14,in the late afternoon,34,\"Nevaeh, Piper\"\ne7081,2012/01/14,in the morning,52,\"Avery, Claire, Olivia\"\ne7088,2012/01/15,in the late afternoon,9,\"Layla, Avery, Piper, Hazel\"\ne7089,2012/01/15,in the morning,26,\"Hazel, Olivia, Avery, Lydia\"\ne7096,2012/01/16,in the early afternoon,17,\"Avery, Hazel, Piper, Rylee\"\ne7097,2012/01/16,in the morning,32,\"Nora, Piper\"\ne7098,2012/01/16,late in the evening,18,Nora\ne7105,2012/01/17,in the early evening,28,Avery\ne7106,2012/01/17,in the early evening,11,Nora\ne7107,2012/01/17,during lunch hours,52,\"Piper, Nevaeh, Kinsley\"\ne7113,2012/01/18,in the early evening,26,\"Nevaeh, Nora, Hazel, Lydia\"\ne7114,2012/01/18,in the early afternoon,49,\"Kinsley, Avery, Eva, Olivia\"\ne7115,2012/01/18,late in the evening,24,Olivia\ne7116,2012/01/18,in the late afternoon,18,\"Nora, Kinsley, Rylee, Olivia\"\ne7123,2012/01/19,in the morning,55,\"Nevaeh, Lydia\"\ne7124,2012/01/19,in the early afternoon,22,\"Nora, Piper, Eva\"\ne7125,2012/01/19,during lunch hours,19,\"Olivia, Nora\"\ne7132,2012/01/20,in the early afternoon,13,Lydia\ne7133,2012/01/20,late in the evening,55,\"Rylee, Piper\"\ne7140,2012/01/21,in the late afternoon,54,Lydia\ne7141,2012/01/21,in the morning,6,Claire\ne7142,2012/01/21,in the late afternoon,12,\"Nora, Rylee, Lydia, Layla\"\ne7143,2012/01/21,during lunch hours,11,\"Nora, Piper, Kinsley, Nevaeh\"\ne7150,2012/01/22,in the early evening,17,\"Lydia, Nora, Nevaeh, Piper\"\ne7151,2012/01/22,late in the evening,30,Lydia\ne7152,2012/01/22,late in the evening,28,\"Rylee, Piper\"\ne7159,2012/01/23,during lunch hours,22,Olivia\ne7160,2012/01/23,in the early evening,22,Claire\ne7161,2012/01/23,during lunch hours,25,\"Kinsley, Claire, Lydia, Nora\"\ne7162,2012/01/23,in the early evening,35,\"Claire, Kinsley, Eva, Rylee\"\ne7169,2012/01/24,in the early afternoon,24,Rylee\ne7170,2012/01/24,late in the evening,49,\"Piper, Kinsley, Hazel\"\ne7171,2012/01/24,in the early evening,24,Avery\ne7177,2012/01/25,late in the evening,13,Piper\ne7184,2012/01/26,in the early afternoon,39,\"Avery, Kinsley, Hazel\"\ne7185,2012/01/26,in the morning,9,Piper\ne7186,2012/01/26,in the morning,49,Claire\ne7192,2012/01/27,in the late afternoon,16,\"Olivia, Rylee, Nevaeh\"\ne7193,2012/01/27,during lunch hours,21,\"Nevaeh, Piper, Avery, Hazel\"\ne7200,2012/01/28,during lunch hours,55,Lydia\ne7201,2012/01/28,in the late afternoon,6,\"Piper, Piper\"\ne7202,2012/01/28,in the early evening,37,Piper\ne7209,2012/01/29,late in the evening,9,\"Nevaeh, Kinsley\"\ne7210,2012/01/29,in the morning,19,\"Rylee, Layla, Kinsley, Hazel\"\ne7211,2012/01/29,in the early evening,48,\"Nora, Piper, Lydia, Hazel\"\ne7218,2012/01/30,in the late afternoon,40,\"Nora, Lydia, Avery, Layla\"\ne7219,2012/01/30,in the early evening,53,Nevaeh\ne7220,2012/01/30,in the morning,39,Piper\ne7227,2012/01/31,during lunch hours,14,\"Layla, Olivia, Eva, Rylee\"\ne7228,2012/01/31,in the morning,14,\"Rylee, Eva, Kinsley\"\ne7235,2012/02/01,in the early afternoon,43,\"Claire, Piper, Olivia, Kinsley\"\ne7236,2012/02/01,in the morning,51,\"Nevaeh, Rylee, Piper, Claire\"\ne7243,2012/02/02,late in the evening,44,\"Piper, Layla, Lydia, Nora\"\ne7244,2012/02/02,in the late afternoon,22,\"Nora, Kinsley\"\ne7245,2012/02/02,in the morning,43,\"Eva, Lydia\"\ne7252,2012/02/03,in the early evening,45,\"Olivia, Piper\"\ne7253,2012/02/03,during lunch hours,39,\"Nevaeh, Eva, Avery, Nora\"\ne7254,2012/02/03,in the morning,37,\"Nora, Piper, Claire\"\ne7261,2012/02/04,in the early afternoon,17,\"Olivia, Piper\"\ne7262,2012/02/04,during lunch hours,18,Claire\ne7263,2012/02/04,in the early evening,54,\"Avery, Hazel\"\ne7264,2012/02/04,in the late afternoon,31,Avery\ne7271,2012/02/05,in the early afternoon,44,Nevaeh\ne7272,2012/02/05,in the early afternoon,14,\"Olivia, Piper, Layla, Kinsley\"\ne7273,2012/02/05,late in the evening,38,\"Nora, Lydia, Layla\"\ne7279,2012/02/06,in the morning,11,Rylee\ne7280,2012/02/06,during lunch hours,21,Piper\ne7286,2012/02/07,during lunch hours,27,\"Lydia, Piper\"\ne7287,2012/02/07,in the late afternoon,21,\"Kinsley, Lydia, Hazel, Layla\"\ne7288,2012/02/07,in the late afternoon,16,\"Claire, Piper, Piper, Layla\"\ne7295,2012/02/08,in the early evening,44,Kinsley\ne7296,2012/02/08,in the early evening,44,\"Claire, Eva, Rylee\"\ne7297,2012/02/08,in the early evening,41,Olivia\ne7304,2012/02/09,during lunch hours,37,\"Lydia, Rylee\"\ne7305,2012/02/09,late in the evening,16,\"Kinsley, Lydia\"\ne7306,2012/02/09,in the early afternoon,53,Piper\ne7313,2012/02/10,in the morning,21,\"Layla, Kinsley, Rylee\"\ne7314,2012/02/10,in the early evening,14,\"Claire, Rylee, Nora\"\ne7315,2012/02/10,during lunch hours,39,\"Kinsley, Olivia\"\ne7316,2012/02/10,in the late afternoon,25,Avery\ne7323,2012/02/11,in the early afternoon,39,\"Nevaeh, Piper, Eva, Nora\"\ne7324,2012/02/11,in the early afternoon,11,\"Hazel, Kinsley\"\ne7325,2012/02/11,in the early afternoon,55,\"Piper, Claire, Piper\"\ne7326,2012/02/11,in the morning,9,\"Claire, Nevaeh, Piper, Avery\"\ne7333,2012/02/12,in the morning,40,Piper\ne7334,2012/02/12,in the late afternoon,54,\"Olivia, Kinsley\"\ne7335,2012/02/12,in the early evening,48,\"Avery, Piper, Hazel, Olivia\"\ne7342,2012/02/13,late in the evening,6,\"Claire, Olivia\"\ne7343,2012/02/13,in the early evening,20,\"Rylee, Olivia, Piper\"\ne7344,2012/02/13,in the late afternoon,54,Kinsley\ne7345,2012/02/13,in the morning,21,\"Piper, Claire\"\ne7352,2012/02/14,in the early afternoon,41,\"Piper, Hazel, Nora\"\ne7353,2012/02/14,in the early afternoon,14,\"Layla, Eva\"\ne7354,2012/02/14,in the early evening,53,\"Nora, Avery, Nevaeh\"\ne7361,2012/02/15,in the morning,40,\"Olivia, Hazel, Rylee\"\ne7362,2012/02/15,in the early afternoon,34,\"Layla, Hazel, Claire, Kinsley\"\ne7369,2012/02/16,during lunch hours,5,\"Nevaeh, Hazel\"\ne7370,2012/02/16,in the late afternoon,41,\"Avery, Nevaeh, Claire\"\ne7371,2012/02/16,in the late afternoon,35,\"Avery, Rylee\"\ne7378,2012/02/17,in the morning,50,\"Rylee, Piper, Avery\"\ne7379,2012/02/17,during lunch hours,44,\"Olivia, Avery, Kinsley\"\ne7380,2012/02/17,during lunch hours,35,\"Kinsley, Olivia, Nevaeh\"\ne7387,2012/02/18,in the early evening,20,\"Layla, Claire\"\ne7388,2012/02/18,in the early afternoon,55,\"Nora, Kinsley, Nevaeh, Lydia\"\ne7395,2012/02/19,in the early afternoon,25,Eva\ne7396,2012/02/19,in the early evening,54,Eva\ne7403,2012/02/20,in the late afternoon,31,\"Kinsley, Piper\"\ne7404,2012/02/20,late in the evening,36,\"Piper, Kinsley, Olivia, Piper\"\ne7405,2012/02/20,late in the evening,24,Eva\ne7412,2012/02/21,in the late afternoon,24,\"Olivia, Nevaeh, Layla\"\ne7413,2012/02/21,late in the evening,15,Nora\ne7420,2012/02/22,in the morning,37,\"Piper, Piper\"\ne7421,2012/02/22,during lunch hours,5,Nora\ne7428,2012/02/23,in the early evening,38,\"Olivia, Piper\"\ne7429,2012/02/23,during lunch hours,49,\"Hazel, Eva, Claire\"\ne7436,2012/02/24,during lunch hours,52,\"Nevaeh, Avery, Hazel, Lydia\"\ne7437,2012/02/24,in the early evening,43,\"Rylee, Nora, Hazel\"\ne7438,2012/02/24,in the early evening,13,\"Layla, Rylee, Piper, Olivia\"\ne7445,2012/02/25,in the early afternoon,45,\"Hazel, Claire, Kinsley\"\ne7446,2012/02/25,during lunch hours,55,Nevaeh\ne7447,2012/02/25,in the early evening,17,\"Hazel, Nora\"\ne7454,2012/02/26,late in the evening,44,\"Lydia, Piper\"\ne7455,2012/02/26,in the morning,55,\"Eva, Hazel, Nora, Olivia\"\ne7456,2012/02/26,late in the evening,9,\"Layla, Nevaeh, Claire\"\ne7463,2012/02/27,during lunch hours,43,\"Eva, Piper, Nevaeh, Layla\"\ne7464,2012/02/27,during lunch hours,17,\"Rylee, Lydia\"\ne7465,2012/02/27,in the morning,55,\"Claire, Rylee, Nora, Nevaeh\"\ne7466,2012/02/27,during lunch hours,13,Olivia\ne7472,2012/02/28,late in the evening,42,\"Claire, Rylee, Layla\"\ne7473,2012/02/28,in the early afternoon,24,Avery\ne7474,2012/02/28,in the late afternoon,44,Rylee\ne7481,2012/02/29,late in the evening,8,\"Claire, Piper, Piper\"\ne7482,2012/02/29,during lunch hours,5,\"Nevaeh, Kinsley, Layla, Eva\"\ne7489,2012/03/01,in the late afternoon,23,\"Eva, Claire\"\ne7490,2012/03/01,in the morning,11,\"Avery, Kinsley, Olivia, Nevaeh\"\ne7491,2012/03/01,in the late afternoon,48,Kinsley\ne7498,2012/03/02,in the early afternoon,31,Piper\ne7499,2012/03/02,during lunch hours,16,\"Eva, Layla, Nora, Piper\"\ne7500,2012/03/02,during lunch hours,26,\"Piper, Nevaeh, Piper\"\ne7501,2012/03/02,during lunch hours,14,\"Piper, Nora, Layla\"\ne7508,2012/03/03,in the late afternoon,54,\"Olivia, Hazel, Nevaeh, Piper\"\ne7509,2012/03/03,during lunch hours,7,\"Olivia, Nevaeh, Eva\"\ne7510,2012/03/03,during lunch hours,39,Piper\ne7517,2012/03/04,in the early afternoon,12,\"Hazel, Layla, Claire\"\ne7518,2012/03/04,in the early afternoon,46,\"Claire, Nora, Rylee\"\ne7519,2012/03/04,during lunch hours,27,Piper\ne7526,2012/03/05,in the late afternoon,46,\"Lydia, Nevaeh, Avery, Nora\"\ne7527,2012/03/05,during lunch hours,30,\"Lydia, Olivia, Hazel, Eva\"\ne7528,2012/03/05,in the early evening,27,\"Avery, Olivia\"\ne7535,2012/03/06,in the late afternoon,18,\"Nora, Piper, Olivia\"\ne7536,2012/03/06,in the late afternoon,54,\"Piper, Kinsley, Avery, Piper\"\ne7537,2012/03/06,in the early evening,9,Nevaeh\ne7543,2012/03/07,late in the evening,47,\"Rylee, Piper, Eva, Lydia\"\ne7544,2012/03/07,in the morning,31,Avery\ne7545,2012/03/07,in the early afternoon,44,\"Hazel, Kinsley, Nora, Olivia\"\ne7546,2012/03/07,in the morning,21,Nevaeh\ne7552,2012/03/08,during lunch hours,22,\"Lydia, Rylee\"\ne7553,2012/03/08,in the late afternoon,53,\"Piper, Kinsley, Lydia\"\ne7554,2012/03/08,during lunch hours,15,\"Eva, Avery\"\ne7555,2012/03/08,late in the evening,53,\"Avery, Rylee, Layla\"\ne7561,2012/03/09,in the early evening,28,\"Claire, Olivia\"\ne7562,2012/03/09,in the morning,7,\"Claire, Rylee, Kinsley\"\ne7563,2012/03/09,late in the evening,55,Olivia\ne7569,2012/03/10,late in the evening,52,\"Layla, Lydia, Rylee\"\ne7570,2012/03/10,in the morning,33,Hazel\ne7571,2012/03/10,during lunch hours,6,\"Nevaeh, Hazel\"\ne7577,2012/03/11,in the morning,48,Kinsley\ne7578,2012/03/11,in the late afternoon,53,\"Lydia, Hazel, Olivia, Kinsley\"\ne7584,2012/03/12,in the early afternoon,25,\"Piper, Kinsley, Nevaeh, Eva\"\ne7585,2012/03/12,in the late afternoon,17,Olivia\ne7586,2012/03/12,during lunch hours,27,\"Avery, Piper, Hazel\"\ne7593,2012/03/13,in the late afternoon,12,Eva\ne7594,2012/03/13,late in the evening,39,\"Layla, Kinsley, Claire\"\ne7595,2012/03/13,in the morning,47,\"Layla, Claire, Olivia\"\ne7602,2012/03/14,in the morning,37,\"Piper, Avery, Claire, Piper\"\ne7603,2012/03/14,in the morning,39,\"Hazel, Kinsley, Eva, Layla\"\ne7610,2012/03/15,in the late afternoon,47,\"Layla, Lydia\"\ne7611,2012/03/15,in the early evening,37,\"Claire, Hazel, Nora\"\ne7618,2012/03/16,in the early afternoon,37,\"Claire, Eva, Piper, Olivia\"\ne7619,2012/03/16,late in the evening,41,Layla\ne7620,2012/03/16,in the early evening,39,Hazel\ne7627,2012/03/17,in the early afternoon,8,\"Lydia, Piper, Layla, Eva\"\ne7628,2012/03/17,in the late afternoon,27,\"Layla, Nevaeh, Rylee, Avery\"\ne7635,2012/03/18,in the early afternoon,8,\"Claire, Piper, Kinsley\"\ne7636,2012/03/18,in the early evening,33,\"Claire, Nora, Eva, Piper\"\ne7637,2012/03/18,in the morning,31,\"Rylee, Lydia, Hazel, Olivia\"\ne7644,2012/03/19,during lunch hours,30,Eva\ne7645,2012/03/19,late in the evening,51,\"Olivia, Hazel\"\ne7652,2012/03/20,late in the evening,23,\"Piper, Kinsley, Nora\"\ne7653,2012/03/20,in the early afternoon,49,\"Olivia, Kinsley\"\ne7660,2012/03/21,in the morning,52,Olivia\ne7661,2012/03/21,in the late afternoon,26,\"Nevaeh, Rylee\"\ne7662,2012/03/21,in the late afternoon,24,\"Olivia, Claire, Lydia, Avery\"\ne7663,2012/03/21,in the morning,6,\"Lydia, Piper, Layla\"\ne7670,2012/03/22,in the late afternoon,39,\"Eva, Claire, Nora\"\ne7671,2012/03/22,in the late afternoon,51,\"Piper, Olivia, Claire\"\ne7672,2012/03/22,in the morning,30,Claire\ne7679,2012/03/23,in the early afternoon,17,Nevaeh\ne7680,2012/03/23,in the early afternoon,48,\"Avery, Hazel, Rylee\"\ne7681,2012/03/23,in the late afternoon,35,\"Claire, Hazel, Nevaeh\"\ne7682,2012/03/23,in the morning,44,Piper\ne7689,2012/03/24,in the early evening,41,\"Nevaeh, Kinsley, Piper, Layla\"\ne7690,2012/03/24,in the morning,23,\"Avery, Olivia, Lydia, Eva\"\ne7691,2012/03/24,in the early afternoon,28,\"Eva, Claire, Olivia, Nevaeh\"\ne7692,2012/03/24,in the early evening,19,Nora\ne7699,2012/03/25,in the early afternoon,23,Eva\ne7700,2012/03/25,late in the evening,46,\"Nora, Olivia, Eva\"\ne7701,2012/03/25,in the early evening,47,\"Nora, Kinsley, Rylee\"\ne7708,2012/03/26,in the late afternoon,41,Nora\ne7709,2012/03/26,late in the evening,53,\"Claire, Olivia, Lydia, Hazel\"\ne7710,2012/03/26,late in the evening,6,\"Kinsley, Nevaeh, Piper\"\ne7711,2012/03/26,late in the evening,15,\"Piper, Eva, Lydia, Hazel\"\ne7718,2012/03/27,in the early afternoon,27,\"Nora, Avery, Lydia\"\ne7719,2012/03/27,in the early evening,52,\"Claire, Piper, Nora, Avery\"\ne7720,2012/03/27,during lunch hours,17,\"Nevaeh, Lydia, Claire, Hazel\"\ne7727,2012/03/28,in the late afternoon,26,Piper\ne7728,2012/03/28,during lunch hours,11,\"Lydia, Hazel, Nora\"\ne7729,2012/03/28,late in the evening,45,\"Olivia, Layla, Nora\"\ne7736,2012/03/29,in the early evening,39,Hazel\ne7737,2012/03/29,late in the evening,34,\"Hazel, Eva\"\ne7738,2012/03/29,in the morning,23,Hazel\ne7739,2012/03/29,during lunch hours,19,Claire\ne7746,2012/03/30,in the morning,36,\"Lydia, Piper, Hazel, Nevaeh\"\ne7747,2012/03/30,in the early evening,44,\"Lydia, Eva\"\ne7748,2012/03/30,in the early afternoon,17,\"Olivia, Piper\"\ne7755,2012/03/31,during lunch hours,14,\"Olivia, Nevaeh, Lydia\"\ne7756,2012/03/31,in the late afternoon,50,\"Piper, Hazel, Piper\"\ne7763,2012/04/01,in the late afternoon,28,\"Hazel, Nevaeh, Rylee\"\ne7764,2012/04/01,in the early afternoon,20,Nora\ne7765,2012/04/01,during lunch hours,11,\"Nevaeh, Piper\"\ne7772,2012/04/02,in the morning,17,\"Kinsley, Rylee\"\ne7773,2012/04/02,during lunch hours,43,\"Hazel, Olivia, Lydia\"\ne7774,2012/04/02,during lunch hours,46,\"Layla, Eva, Rylee, Nevaeh\"\ne7780,2012/04/03,in the early afternoon,5,\"Olivia, Piper, Rylee, Piper\"\ne7781,2012/04/03,in the early afternoon,39,\"Olivia, Hazel, Kinsley\"\ne7782,2012/04/03,in the early afternoon,11,Layla\ne7789,2012/04/04,in the early afternoon,42,Hazel\ne7790,2012/04/04,during lunch hours,27,\"Claire, Nora\"\ne7791,2012/04/04,late in the evening,49,\"Layla, Claire, Olivia\"\ne7798,2012/04/05,in the early evening,42,\"Piper, Rylee\"\ne7805,2012/04/06,in the early afternoon,10,Olivia\ne7806,2012/04/06,in the morning,55,\"Hazel, Piper, Piper\"\ne7813,2012/04/07,in the early evening,12,\"Kinsley, Eva, Nora\"\ne7814,2012/04/07,in the late afternoon,54,\"Layla, Hazel, Claire, Olivia\"\ne7815,2012/04/07,in the early afternoon,28,\"Claire, Nora\"\ne7821,2012/04/08,in the early evening,39,\"Nevaeh, Piper, Layla\"\ne7822,2012/04/08,during lunch hours,16,Hazel\ne7823,2012/04/08,during lunch hours,14,\"Kinsley, Rylee\"\ne7829,2012/04/09,in the morning,19,\"Hazel, Avery\"\ne7830,2012/04/09,late in the evening,28,\"Lydia, Hazel, Nevaeh, Avery\"\ne7831,2012/04/09,in the early evening,40,\"Nevaeh, Rylee, Kinsley, Eva\"\ne7838,2012/04/10,late in the evening,23,\"Lydia, Nora\"\ne7839,2012/04/10,during lunch hours,9,\"Layla, Lydia\"\ne7840,2012/04/10,in the early afternoon,44,Claire\ne7841,2012/04/10,in the morning,9,\"Piper, Nevaeh\"\ne7848,2012/04/11,during lunch hours,30,\"Nora, Rylee, Piper, Nevaeh\"\ne7849,2012/04/11,in the early afternoon,30,\"Nora, Nevaeh, Piper, Olivia\"\ne7850,2012/04/11,in the early evening,17,\"Nora, Avery, Kinsley, Layla\"\ne7857,2012/04/12,in the late afternoon,17,Nevaeh\ne7858,2012/04/12,in the early evening,48,Piper\ne7859,2012/04/12,during lunch hours,18,\"Claire, Rylee, Kinsley\"\ne7860,2012/04/12,late in the evening,7,\"Nora, Layla, Kinsley\"\ne7867,2012/04/13,in the early evening,27,\"Lydia, Layla, Avery\"\ne7868,2012/04/13,in the morning,16,\"Layla, Rylee, Kinsley, Piper\"\ne7875,2012/04/14,in the early afternoon,7,\"Piper, Avery, Claire, Hazel\"\ne7881,2012/04/15,during lunch hours,45,\"Nevaeh, Rylee\"\ne7888,2012/04/16,in the early evening,38,\"Nevaeh, Lydia\"\ne7889,2012/04/16,in the morning,46,Rylee\ne7896,2012/04/17,in the late afternoon,20,\"Claire, Piper, Nora\"\ne7897,2012/04/17,during lunch hours,21,\"Kinsley, Lydia, Piper\"\ne7904,2012/04/18,in the early afternoon,17,\"Nora, Rylee, Piper\"\ne7905,2012/04/18,during lunch hours,39,Hazel\ne7912,2012/04/19,in the late afternoon,52,\"Rylee, Claire, Eva\"\ne7913,2012/04/19,during lunch hours,15,\"Hazel, Piper, Nevaeh\"\ne7920,2012/04/20,in the early afternoon,29,\"Nevaeh, Eva, Kinsley\"\ne7921,2012/04/20,in the early afternoon,24,Hazel\ne7922,2012/04/20,in the late afternoon,30,Nora\ne7929,2012/04/21,during lunch hours,46,\"Piper, Kinsley, Piper\"\ne7930,2012/04/21,in the morning,53,\"Eva, Olivia\"\ne7931,2012/04/21,during lunch hours,24,\"Kinsley, Nevaeh\"\ne7937,2012/04/22,in the early afternoon,36,\"Olivia, Layla\"\ne7938,2012/04/22,late in the evening,23,\"Nevaeh, Kinsley\"\ne7939,2012/04/22,in the late afternoon,10,Eva\ne7946,2012/04/23,in the late afternoon,26,\"Olivia, Claire, Rylee\"\ne7947,2012/04/23,in the late afternoon,50,Olivia\ne7948,2012/04/23,in the morning,51,\"Olivia, Claire, Layla, Nevaeh\"\ne7955,2012/04/24,in the morning,31,\"Claire, Layla, Lydia\"\ne7956,2012/04/24,in the morning,9,\"Hazel, Nevaeh, Claire, Olivia\"\ne7957,2012/04/24,late in the evening,13,\"Layla, Piper, Avery\"\ne7964,2012/04/25,in the early afternoon,9,\"Avery, Nevaeh, Eva, Olivia\"\ne7965,2012/04/25,in the early afternoon,20,Piper\ne7966,2012/04/25,late in the evening,43,\"Kinsley, Nevaeh, Layla\"\ne7973,2012/04/26,in the late afternoon,20,\"Eva, Avery, Claire, Rylee\"\ne7974,2012/04/26,late in the evening,11,\"Eva, Rylee\"\ne7975,2012/04/26,in the early afternoon,25,\"Eva, Hazel, Lydia\"\ne7976,2012/04/26,in the early evening,29,\"Piper, Lydia, Olivia\"\ne7983,2012/04/27,in the late afternoon,34,Layla\ne7984,2012/04/27,in the morning,26,\"Eva, Hazel, Olivia\"\ne7991,2012/04/28,in the late afternoon,53,\"Kinsley, Layla, Piper\"\ne7992,2012/04/28,in the early evening,17,\"Piper, Kinsley, Rylee\"\ne7999,2012/04/29,late in the evening,16,\"Avery, Nora, Hazel\"\ne8000,2012/04/29,in the late afternoon,22,\"Lydia, Hazel, Claire\"\ne8001,2012/04/29,late in the evening,8,\"Piper, Olivia\"\ne8008,2012/04/30,in the early evening,5,\"Hazel, Piper\"\ne8009,2012/04/30,in the early afternoon,7,\"Piper, Claire, Layla, Rylee\"\ne8010,2012/04/30,in the early evening,52,\"Nora, Kinsley, Rylee\"\ne8017,2012/05/01,during lunch hours,31,\"Eva, Lydia\"\ne8018,2012/05/01,in the late afternoon,37,\"Piper, Eva\"\ne8019,2012/05/01,during lunch hours,29,Layla\ne8026,2012/05/02,in the morning,22,\"Claire, Nora, Rylee, Olivia\"\ne8027,2012/05/02,in the late afternoon,44,\"Rylee, Piper, Eva, Layla\"\ne8028,2012/05/02,in the late afternoon,46,\"Avery, Kinsley, Layla, Piper\"\ne8034,2012/05/03,in the morning,48,\"Piper, Olivia, Eva\"\ne8035,2012/05/03,in the early evening,45,Lydia\ne8036,2012/05/03,late in the evening,32,\"Eva, Piper\"\ne8043,2012/05/04,late in the evening,39,\"Claire, Piper, Piper\"\ne8044,2012/05/04,late in the evening,33,\"Kinsley, Piper, Lydia, Olivia\"\ne8045,2012/05/04,in the late afternoon,23,\"Nevaeh, Eva\"\ne8052,2012/05/05,during lunch hours,53,\"Piper, Avery, Rylee, Piper\"\ne8053,2012/05/05,in the late afternoon,48,Lydia\ne8054,2012/05/05,in the morning,11,\"Layla, Kinsley\"\ne8055,2012/05/05,during lunch hours,22,\"Hazel, Olivia\"\ne8062,2012/05/06,during lunch hours,48,Eva\ne8063,2012/05/06,in the early evening,6,Rylee\ne8064,2012/05/06,in the morning,46,\"Piper, Olivia\"\ne8065,2012/05/06,in the early evening,14,\"Olivia, Hazel\"\ne8072,2012/05/07,in the late afternoon,22,\"Nevaeh, Claire, Olivia, Piper\"\ne8073,2012/05/07,late in the evening,6,\"Lydia, Nora\"\ne8074,2012/05/07,in the late afternoon,45,\"Hazel, Avery\"\ne8081,2012/05/08,late in the evening,54,\"Nevaeh, Layla, Rylee\"\ne8082,2012/05/08,in the early evening,19,\"Piper, Avery, Piper\"\ne8089,2012/05/09,in the morning,40,Kinsley\ne8090,2012/05/09,in the early evening,53,\"Piper, Layla, Hazel\"\ne8091,2012/05/09,in the late afternoon,7,\"Piper, Claire, Hazel, Nora\"\ne8098,2012/05/10,in the early afternoon,31,\"Rylee, Hazel, Claire, Nevaeh\"\ne8099,2012/05/10,in the late afternoon,39,\"Claire, Kinsley, Hazel, Eva\"\ne8100,2012/05/10,in the late afternoon,17,Hazel\ne8101,2012/05/10,in the morning,31,Piper\ne8108,2012/05/11,in the late afternoon,18,\"Piper, Avery, Eva\"\ne8109,2012/05/11,in the early afternoon,33,\"Claire, Layla, Rylee\"\ne8110,2012/05/11,late in the evening,32,\"Nevaeh, Nora, Claire, Lydia\"\ne8111,2012/05/11,in the early afternoon,51,\"Layla, Kinsley\"\ne8118,2012/05/12,in the late afternoon,43,\"Rylee, Piper, Piper\"\ne8119,2012/05/12,in the early evening,43,\"Claire, Lydia, Piper\"\ne8120,2012/05/12,during lunch hours,38,\"Piper, Lydia, Nora\"\ne8127,2012/05/13,late in the evening,27,\"Avery, Nora\"\ne8128,2012/05/13,in the early evening,38,\"Hazel, Nevaeh\"\ne8135,2012/05/14,in the early afternoon,32,\"Piper, Hazel, Layla\"\ne8136,2012/05/14,late in the evening,29,Hazel\ne8137,2012/05/14,late in the evening,23,\"Claire, Olivia, Kinsley, Piper\"\ne8144,2012/05/15,in the early afternoon,26,\"Nevaeh, Lydia\"\ne8145,2012/05/15,late in the evening,53,\"Rylee, Claire\"\ne8146,2012/05/15,during lunch hours,45,Claire\ne8153,2012/05/16,in the morning,34,Lydia\ne8154,2012/05/16,in the early evening,36,Piper\ne8155,2012/05/16,in the early afternoon,20,\"Layla, Lydia\"\ne8156,2012/05/16,in the morning,34,\"Lydia, Rylee, Nora\"\ne8163,2012/05/17,late in the evening,19,\"Hazel, Layla\"\ne8164,2012/05/17,in the early afternoon,20,\"Kinsley, Eva, Piper, Avery\"\ne8165,2012/05/17,in the early evening,33,Rylee\ne8172,2012/05/18,in the early afternoon,45,Piper\ne8173,2012/05/18,in the early afternoon,33,\"Piper, Layla, Rylee, Eva\"\ne8180,2012/05/19,during lunch hours,23,\"Piper, Olivia\"\ne8181,2012/05/19,in the early evening,42,Avery\ne8188,2012/05/20,in the early evening,51,\"Piper, Nevaeh, Eva, Piper\"\ne8189,2012/05/20,late in the evening,16,\"Kinsley, Eva\"\ne8196,2012/05/21,in the morning,41,\"Kinsley, Avery, Piper, Rylee\"\ne8197,2012/05/21,in the early evening,26,\"Avery, Olivia, Hazel, Claire\"\ne8204,2012/05/22,in the morning,26,\"Avery, Lydia, Olivia\"\ne8205,2012/05/22,in the early afternoon,49,\"Piper, Olivia\"\ne8206,2012/05/22,in the early evening,31,\"Nora, Hazel, Piper, Rylee\"\ne8207,2012/05/22,in the early afternoon,54,\"Eva, Nora, Piper, Hazel\"\ne8214,2012/05/23,in the late afternoon,32,\"Olivia, Piper, Lydia, Claire\"\ne8215,2012/05/23,late in the evening,20,\"Lydia, Layla, Avery, Piper\"\ne8216,2012/05/23,in the early afternoon,26,Nora\ne8217,2012/05/23,in the early evening,48,\"Piper, Layla\"\ne8224,2012/05/24,in the late afternoon,22,\"Avery, Nora, Rylee, Kinsley\"\ne8225,2012/05/24,during lunch hours,19,\"Hazel, Rylee, Piper\"\ne8226,2012/05/24,in the early afternoon,19,Piper\ne8227,2012/05/24,during lunch hours,54,Olivia\ne8234,2012/05/25,during lunch hours,12,\"Lydia, Avery, Kinsley\"\ne8235,2012/05/25,during lunch hours,34,\"Avery, Claire\"\ne8236,2012/05/25,in the morning,27,\"Avery, Nora, Lydia\"\ne8237,2012/05/25,in the early evening,39,\"Piper, Layla, Claire\"\ne8244,2012/05/26,in the early evening,13,Eva\ne8245,2012/05/26,late in the evening,52,\"Avery, Lydia, Olivia\"\ne8246,2012/05/26,in the early afternoon,18,\"Nevaeh, Piper, Hazel\"\ne8253,2012/05/27,during lunch hours,11,Kinsley\ne8254,2012/05/27,in the morning,12,\"Eva, Nevaeh\"\ne8255,2012/05/27,in the early evening,39,\"Rylee, Kinsley, Eva\"\ne8262,2012/05/28,late in the evening,29,\"Kinsley, Lydia\"\ne8263,2012/05/28,in the late afternoon,29,\"Hazel, Piper, Claire, Avery\"\ne8264,2012/05/28,in the morning,24,\"Piper, Piper, Claire, Hazel\"\ne8271,2012/05/29,during lunch hours,39,Layla\ne8272,2012/05/29,in the early evening,50,\"Nevaeh, Rylee, Olivia, Avery\"\ne8273,2012/05/29,in the early evening,42,Nevaeh\ne8280,2012/05/30,in the early afternoon,10,\"Claire, Hazel, Lydia\"\ne8281,2012/05/30,during lunch hours,54,Claire\ne8282,2012/05/30,late in the evening,36,\"Piper, Layla, Olivia\"\ne8283,2012/05/30,in the late afternoon,25,\"Kinsley, Layla, Lydia\"\ne8290,2012/05/31,in the early evening,25,\"Olivia, Hazel, Kinsley\"\ne8291,2012/05/31,late in the evening,35,\"Layla, Hazel\"\ne8292,2012/05/31,in the early evening,17,Olivia\ne8293,2012/05/31,late in the evening,40,\"Piper, Lydia, Layla, Olivia\"\ne8300,2012/06/01,in the morning,5,Kinsley\ne8301,2012/06/01,in the early evening,41,\"Piper, Avery, Layla\"\ne8308,2012/06/02,in the early afternoon,21,\"Kinsley, Hazel, Lydia\"\ne8309,2012/06/02,during lunch hours,38,Layla\ne8316,2012/06/03,in the early afternoon,18,\"Nora, Piper\"\ne8317,2012/06/03,in the late afternoon,45,\"Piper, Piper, Nevaeh\"\ne8318,2012/06/03,in the early evening,23,\"Hazel, Lydia\"\ne8319,2012/06/03,late in the evening,28,\"Hazel, Kinsley, Piper, Olivia\"\ne8325,2012/06/04,in the morning,31,\"Layla, Olivia, Claire\"\ne8326,2012/06/04,during lunch hours,6,\"Rylee, Nora, Claire, Layla\"\ne8333,2012/06/05,in the early evening,48,\"Lydia, Layla, Kinsley\"\ne8334,2012/06/05,in the morning,55,\"Olivia, Eva\"\ne8335,2012/06/05,in the early afternoon,53,Olivia\ne8336,2012/06/05,late in the evening,36,\"Kinsley, Nora, Eva, Piper\"\ne8343,2012/06/06,in the early afternoon,46,\"Lydia, Piper, Nevaeh\"\ne8344,2012/06/06,in the morning,19,Kinsley\ne8345,2012/06/06,in the late afternoon,7,Piper\ne8352,2012/06/07,in the late afternoon,34,Claire\ne8353,2012/06/07,in the early evening,36,Eva\ne8354,2012/06/07,late in the evening,49,\"Rylee, Layla\"\ne8355,2012/06/07,late in the evening,35,Layla\ne8362,2012/06/08,in the early evening,10,\"Rylee, Claire, Hazel, Layla\"\ne8363,2012/06/08,in the early afternoon,50,\"Hazel, Rylee, Olivia, Claire\"\ne8364,2012/06/08,in the late afternoon,13,\"Nevaeh, Eva\"\ne8365,2012/06/08,in the early afternoon,21,\"Olivia, Kinsley, Piper, Lydia\"\ne8372,2012/06/09,in the early evening,36,Piper\ne8373,2012/06/09,in the early afternoon,10,\"Eva, Layla\"\ne8380,2012/06/10,late in the evening,39,\"Kinsley, Eva\"\ne8381,2012/06/10,in the early evening,8,\"Rylee, Layla, Avery\"\ne8388,2012/06/11,in the late afternoon,11,\"Piper, Hazel, Piper\"\ne8389,2012/06/11,in the morning,12,\"Lydia, Layla, Piper\"\ne8396,2012/06/12,in the early evening,32,\"Claire, Nora, Piper, Hazel\"\ne8397,2012/06/12,in the late afternoon,33,\"Piper, Nora, Rylee, Lydia\"\ne8398,2012/06/12,late in the evening,38,\"Claire, Piper, Layla\"\ne8399,2012/06/12,in the morning,14,\"Hazel, Nora, Olivia, Piper\"\ne8406,2012/06/13,in the early afternoon,23,\"Layla, Lydia, Nevaeh\"\ne8407,2012/06/13,during lunch hours,33,\"Nora, Kinsley, Olivia, Piper\"\ne8408,2012/06/13,in the morning,32,\"Piper, Kinsley\"\ne8415,2012/06/14,in the early afternoon,53,\"Kinsley, Piper, Eva\"\ne8416,2012/06/14,in the morning,24,\"Eva, Olivia\"\ne8417,2012/06/14,in the early evening,5,Nora\ne8424,2012/06/15,during lunch hours,49,\"Olivia, Eva, Nevaeh\"\ne8425,2012/06/15,in the late afternoon,30,\"Nora, Hazel\"\ne8426,2012/06/15,in the early evening,53,\"Claire, Olivia, Nora, Piper\"\ne8433,2012/06/16,late in the evening,37,\"Avery, Lydia, Kinsley\"\ne8434,2012/06/16,in the early evening,5,\"Kinsley, Piper, Avery, Claire\"\ne8435,2012/06/16,during lunch hours,15,\"Piper, Eva, Avery, Lydia\"\ne8442,2012/06/17,in the early evening,11,Avery\ne8443,2012/06/17,in the early afternoon,9,\"Piper, Hazel\"\ne8444,2012/06/17,in the early afternoon,54,\"Hazel, Avery\"\ne8445,2012/06/17,late in the evening,26,\"Piper, Rylee, Nevaeh\"\ne8452,2012/06/18,late in the evening,34,\"Layla, Nora, Avery, Eva\"\ne8453,2012/06/18,during lunch hours,30,Claire\ne8454,2012/06/18,in the morning,17,Piper\ne8461,2012/06/19,late in the evening,42,\"Layla, Piper, Eva\"\ne8462,2012/06/19,in the late afternoon,6,\"Avery, Kinsley, Eva, Piper\"\ne8463,2012/06/19,in the early evening,41,\"Lydia, Avery, Piper, Layla\"\ne8470,2012/06/20,in the early evening,24,Piper\ne8471,2012/06/20,during lunch hours,32,Layla\ne8472,2012/06/20,during lunch hours,22,\"Piper, Rylee, Nevaeh\"\ne8479,2012/06/21,in the morning,47,Hazel\ne8480,2012/06/21,late in the evening,8,Piper\ne8481,2012/06/21,in the early evening,43,\"Nevaeh, Piper, Layla\"\ne8488,2012/06/22,in the early afternoon,43,\"Piper, Nevaeh, Rylee\"\ne8489,2012/06/22,in the early afternoon,52,\"Olivia, Piper\"\ne8490,2012/06/22,in the morning,7,Piper\ne8491,2012/06/22,in the morning,27,\"Nora, Rylee, Nevaeh\"\ne8498,2012/06/23,during lunch hours,35,\"Rylee, Hazel, Eva\"\ne8499,2012/06/23,in the early afternoon,11,\"Hazel, Piper\"\ne8506,2012/06/24,in the early afternoon,35,Lydia\ne8507,2012/06/24,in the late afternoon,11,Rylee\ne8508,2012/06/24,in the early evening,19,Claire\ne8509,2012/06/24,during lunch hours,55,\"Layla, Avery\"\ne8516,2012/06/25,in the early afternoon,47,\"Eva, Kinsley\"\ne8517,2012/06/25,during lunch hours,46,\"Layla, Avery, Olivia\"\ne8518,2012/06/25,late in the evening,44,\"Piper, Nevaeh, Avery\"\ne8525,2012/06/26,late in the evening,30,Piper\ne8526,2012/06/26,late in the evening,24,\"Layla, Lydia\"\ne8527,2012/06/26,during lunch hours,10,Hazel\ne8534,2012/06/27,late in the evening,43,\"Nora, Hazel, Kinsley, Nevaeh\"\ne8535,2012/06/27,in the late afternoon,17,\"Nevaeh, Kinsley, Avery, Nora\"\ne8536,2012/06/27,in the early afternoon,29,\"Eva, Piper, Claire\"\ne8543,2012/06/28,in the morning,13,\"Kinsley, Piper, Hazel, Claire\"\ne8544,2012/06/28,in the late afternoon,32,\"Lydia, Nevaeh, Layla, Piper\"\ne8545,2012/06/28,in the early afternoon,39,Piper\ne8552,2012/06/29,in the morning,16,\"Lydia, Eva, Claire\"\ne8553,2012/06/29,late in the evening,6,\"Rylee, Piper, Piper, Claire\"\ne8560,2012/06/30,in the early afternoon,47,Claire\ne8561,2012/06/30,late in the evening,46,\"Rylee, Kinsley\"\ne8562,2012/06/30,late in the evening,19,\"Nora, Avery\"\ne8563,2012/06/30,in the early afternoon,23,\"Nevaeh, Piper, Eva\"\ne8570,2012/07/01,in the late afternoon,53,\"Hazel, Avery, Piper\"\ne8571,2012/07/01,late in the evening,37,\"Eva, Kinsley, Layla\"\ne8572,2012/07/01,in the early evening,18,\"Avery, Olivia, Hazel, Lydia\"\ne8579,2012/07/02,in the early evening,47,\"Olivia, Nora\"\ne8580,2012/07/02,in the late afternoon,53,\"Hazel, Claire\"\ne8581,2012/07/02,in the morning,20,\"Nora, Piper\"\ne8588,2012/07/03,in the morning,22,\"Piper, Nora, Claire\"\ne8589,2012/07/03,in the early afternoon,49,\"Lydia, Piper, Avery\"\ne8590,2012/07/03,in the morning,55,\"Avery, Claire, Nora, Hazel\"\ne8597,2012/07/04,in the morning,15,\"Eva, Claire, Nora\"\ne8598,2012/07/04,late in the evening,40,Piper\ne8599,2012/07/04,late in the evening,34,\"Hazel, Kinsley\"\ne8606,2012/07/05,during lunch hours,21,\"Nora, Hazel, Layla\"\ne8607,2012/07/05,in the early evening,24,\"Piper, Avery\"\ne8608,2012/07/05,in the morning,8,\"Piper, Layla, Nevaeh, Avery\"\ne8615,2012/07/06,in the late afternoon,21,\"Lydia, Layla, Avery, Eva\"\ne8616,2012/07/06,in the morning,26,Nora\ne8617,2012/07/06,in the early afternoon,6,\"Avery, Nevaeh\"\ne8624,2012/07/07,in the early afternoon,28,\"Nora, Kinsley\"\ne8631,2012/07/08,late in the evening,11,\"Piper, Lydia, Eva\"\ne8632,2012/07/08,in the late afternoon,42,\"Eva, Piper\"\ne8639,2012/07/09,in the late afternoon,26,Nevaeh\ne8640,2012/07/09,in the morning,46,\"Lydia, Piper\"\ne8641,2012/07/09,in the morning,29,\"Kinsley, Hazel, Piper\"\ne8648,2012/07/10,in the early afternoon,8,\"Piper, Eva\"\ne8649,2012/07/10,in the early afternoon,50,Avery\ne8650,2012/07/10,in the late afternoon,50,\"Layla, Olivia, Kinsley\"\ne8651,2012/07/10,in the morning,20,\"Layla, Olivia, Claire\"\ne8657,2012/07/11,in the morning,38,Piper\ne8658,2012/07/11,in the morning,29,\"Nora, Olivia, Nevaeh\"\ne8659,2012/07/11,in the early evening,15,\"Avery, Piper\"\ne8665,2012/07/12,during lunch hours,39,\"Olivia, Avery, Claire\"\ne8666,2012/07/12,in the morning,13,\"Piper, Olivia, Piper\"\ne8667,2012/07/12,in the early afternoon,22,\"Piper, Layla\"\ne8674,2012/07/13,during lunch hours,23,\"Hazel, Lydia, Layla\"\ne8675,2012/07/13,late in the evening,19,\"Piper, Nevaeh, Piper\"\ne8682,2012/07/14,in the late afternoon,21,\"Eva, Rylee, Avery, Piper\"\ne8683,2012/07/14,in the early afternoon,34,\"Layla, Lydia, Piper, Hazel\"\ne8684,2012/07/14,in the morning,29,\"Piper, Nevaeh, Claire\"\ne8691,2012/07/15,in the early evening,24,\"Lydia, Rylee\"\ne8692,2012/07/15,in the morning,28,\"Hazel, Piper, Eva\"\ne8693,2012/07/15,in the morning,5,\"Kinsley, Nevaeh, Avery, Hazel\"\ne8700,2012/07/16,in the early afternoon,16,\"Rylee, Lydia\"\ne8701,2012/07/16,during lunch hours,27,\"Avery, Nora, Layla, Kinsley\"\ne8708,2012/07/17,in the early evening,20,Avery\ne8709,2012/07/17,in the morning,47,\"Nevaeh, Lydia\"\ne8710,2012/07/17,in the late afternoon,41,\"Layla, Lydia\"\ne8711,2012/07/17,during lunch hours,49,\"Nora, Eva, Nevaeh, Piper\"\ne8718,2012/07/18,in the early afternoon,9,\"Kinsley, Avery, Layla\"\ne8719,2012/07/18,during lunch hours,28,\"Eva, Nora, Rylee\"\ne8720,2012/07/18,in the early evening,43,\"Layla, Nora\"\ne8726,2012/07/19,in the early evening,47,Hazel\ne8727,2012/07/19,in the morning,22,Claire\ne8728,2012/07/19,in the early evening,8,\"Avery, Claire, Rylee\"\ne8735,2012/07/20,in the late afternoon,53,Nevaeh\ne8736,2012/07/20,in the morning,43,Piper\ne8737,2012/07/20,in the late afternoon,20,\"Piper, Eva\"\ne8738,2012/07/20,in the late afternoon,54,\"Nora, Claire, Lydia\"\ne8745,2012/07/21,in the early afternoon,19,\"Avery, Eva\"\ne8746,2012/07/21,in the early afternoon,6,Kinsley\ne8747,2012/07/21,in the early evening,18,\"Lydia, Piper\"\ne8754,2012/07/22,in the late afternoon,18,\"Kinsley, Nora, Layla\"\ne8755,2012/07/22,in the early evening,53,\"Kinsley, Eva\"\ne8756,2012/07/22,late in the evening,18,\"Olivia, Piper, Piper, Nora\"\ne8763,2012/07/23,during lunch hours,50,\"Piper, Nevaeh\"\ne8770,2012/07/24,late in the evening,5,\"Piper, Olivia, Layla, Rylee\"\ne8771,2012/07/24,in the morning,39,\"Olivia, Rylee\"\ne8772,2012/07/24,late in the evening,23,Olivia\ne8773,2012/07/24,in the morning,42,\"Lydia, Eva, Olivia\"\ne8780,2012/07/25,during lunch hours,36,\"Nora, Nevaeh\"\ne8781,2012/07/25,in the late afternoon,28,\"Olivia, Eva, Claire\"\ne8782,2012/07/25,during lunch hours,22,\"Claire, Nora, Piper\"\ne8789,2012/07/26,in the morning,46,Claire\ne8790,2012/07/26,late in the evening,44,\"Kinsley, Lydia, Eva\"\ne8797,2012/07/27,in the morning,34,\"Rylee, Nevaeh, Claire\"\ne8798,2012/07/27,in the morning,8,Lydia\ne8805,2012/07/28,in the late afternoon,9,\"Nora, Nevaeh, Avery\"\ne8806,2012/07/28,in the morning,20,\"Nora, Lydia, Piper, Kinsley\"\ne8807,2012/07/28,during lunch hours,16,\"Piper, Nevaeh, Rylee\"\ne8814,2012/07/29,in the morning,32,Olivia\ne8815,2012/07/29,during lunch hours,26,Piper\ne8821,2012/07/30,in the early afternoon,28,\"Claire, Nora\"\ne8822,2012/07/30,late in the evening,37,\"Nora, Lydia, Hazel\"\ne8829,2012/07/31,in the late afternoon,22,\"Olivia, Piper\"\ne8830,2012/07/31,late in the evening,51,\"Kinsley, Layla, Olivia\"\ne8831,2012/07/31,in the late afternoon,37,\"Nevaeh, Piper, Lydia\"\ne8838,2012/08/01,in the late afternoon,34,\"Layla, Olivia, Nevaeh, Avery\"\ne8839,2012/08/01,in the late afternoon,37,\"Hazel, Nevaeh, Nora, Rylee\"\ne8840,2012/08/01,in the late afternoon,43,\"Piper, Hazel\"\ne8847,2012/08/02,in the early evening,40,\"Avery, Claire, Piper\"\ne8848,2012/08/02,during lunch hours,19,\"Olivia, Claire, Hazel\"\ne8849,2012/08/02,in the early evening,30,\"Avery, Nevaeh, Olivia\"\ne8850,2012/08/02,late in the evening,27,Kinsley\ne8857,2012/08/03,in the early afternoon,28,\"Rylee, Olivia, Piper\"\ne8858,2012/08/03,in the morning,11,\"Avery, Nora, Eva\"\ne8859,2012/08/03,during lunch hours,53,\"Nora, Nevaeh\"\ne8860,2012/08/03,in the late afternoon,23,Nora\ne8867,2012/08/04,in the late afternoon,17,\"Claire, Nora, Lydia\"\ne8868,2012/08/04,in the early afternoon,40,\"Nora, Rylee\"\ne8875,2012/08/05,in the morning,7,Lydia\ne8876,2012/08/05,in the early afternoon,51,Claire\ne8877,2012/08/05,in the morning,24,\"Avery, Lydia, Claire, Hazel\"\ne8884,2012/08/06,during lunch hours,42,\"Claire, Lydia, Piper, Piper\"\ne8885,2012/08/06,in the early afternoon,36,\"Nevaeh, Rylee, Eva, Piper\"\ne8892,2012/08/07,late in the evening,9,Hazel\ne8893,2012/08/07,in the early evening,52,\"Olivia, Lydia, Nora, Avery\"\ne8900,2012/08/08,late in the evening,27,\"Eva, Hazel, Kinsley, Rylee\"\ne8901,2012/08/08,in the morning,21,\"Claire, Kinsley, Avery\"\ne8902,2012/08/08,in the early afternoon,30,\"Nora, Piper, Nevaeh\"\ne8903,2012/08/08,in the early afternoon,23,\"Avery, Eva, Claire\"\ne8910,2012/08/09,in the late afternoon,55,\"Avery, Hazel\"\ne8911,2012/08/09,in the late afternoon,26,Piper\ne8912,2012/08/09,in the early afternoon,51,\"Olivia, Avery, Hazel, Kinsley\"\ne8919,2012/08/10,in the early evening,23,\"Piper, Piper, Layla, Claire\"\ne8920,2012/08/10,in the morning,47,\"Piper, Eva, Hazel, Layla\"\ne8927,2012/08/11,late in the evening,46,\"Hazel, Avery\"\ne8928,2012/08/11,in the early afternoon,13,Claire\ne8929,2012/08/11,in the early evening,37,\"Hazel, Layla, Nevaeh, Avery\"\ne8930,2012/08/11,in the late afternoon,11,\"Nora, Avery, Layla, Lydia\"\ne8937,2012/08/12,during lunch hours,46,\"Olivia, Avery, Hazel\"\ne8938,2012/08/12,in the late afternoon,13,\"Claire, Olivia, Nora, Piper\"\ne8939,2012/08/12,in the morning,54,\"Claire, Piper, Hazel, Olivia\"\ne8940,2012/08/12,in the early afternoon,11,\"Nora, Lydia, Piper\"\ne8947,2012/08/13,in the morning,45,\"Rylee, Hazel\"\ne8948,2012/08/13,in the early evening,15,Claire\ne8955,2012/08/14,in the morning,7,\"Piper, Eva\"\ne8956,2012/08/14,in the morning,18,\"Layla, Rylee, Avery\"\ne8963,2012/08/15,in the late afternoon,37,Layla\ne8964,2012/08/15,during lunch hours,20,\"Olivia, Piper, Lydia\"\ne8971,2012/08/16,in the early afternoon,19,\"Rylee, Eva, Hazel\"\ne8972,2012/08/16,in the late afternoon,36,\"Lydia, Layla\"\ne8973,2012/08/16,in the late afternoon,26,\"Layla, Nora, Rylee, Lydia\"\ne8980,2012/08/17,late in the evening,38,\"Nevaeh, Olivia, Piper\"\ne8981,2012/08/17,late in the evening,28,\"Eva, Piper\"\ne8988,2012/08/18,in the early afternoon,8,\"Olivia, Hazel, Nora, Claire\"\ne8989,2012/08/18,late in the evening,48,\"Layla, Kinsley, Hazel, Olivia\"\ne8996,2012/08/19,late in the evening,16,Avery\ne8997,2012/08/19,in the early evening,43,\"Piper, Kinsley, Claire, Layla\"\ne8998,2012/08/19,in the morning,42,\"Piper, Nevaeh\"\ne9005,2012/08/20,in the morning,54,Piper\ne9006,2012/08/20,in the early afternoon,36,\"Kinsley, Hazel\"\ne9007,2012/08/20,in the early afternoon,24,Layla\ne9008,2012/08/20,in the late afternoon,9,Layla\ne9014,2012/08/21,in the early afternoon,44,\"Lydia, Claire, Hazel, Piper\"\ne9015,2012/08/21,in the early afternoon,20,\"Layla, Lydia, Nevaeh\"\ne9016,2012/08/21,late in the evening,19,\"Claire, Lydia, Eva\"\ne9023,2012/08/22,in the early evening,24,Hazel\ne9024,2012/08/22,in the late afternoon,6,\"Kinsley, Nevaeh, Hazel, Avery\"\ne9025,2012/08/22,in the morning,15,\"Piper, Eva, Hazel\"\ne9032,2012/08/23,during lunch hours,48,\"Lydia, Claire\"\ne9033,2012/08/23,in the morning,50,\"Layla, Rylee, Lydia, Eva\"\ne9034,2012/08/23,in the early afternoon,25,Nevaeh\ne9041,2012/08/24,in the early evening,31,\"Hazel, Eva, Olivia, Claire\"\ne9042,2012/08/24,in the morning,35,\"Nora, Layla, Hazel\"\ne9043,2012/08/24,in the early afternoon,7,\"Nora, Kinsley, Olivia\"\ne9050,2012/08/25,during lunch hours,51,Eva\ne9051,2012/08/25,in the early evening,9,\"Olivia, Layla, Nevaeh\"\ne9052,2012/08/25,during lunch hours,8,\"Eva, Claire, Olivia, Layla\"\ne9059,2012/08/26,during lunch hours,35,Eva\ne9060,2012/08/26,in the morning,22,\"Layla, Piper, Nora, Kinsley\"\ne9061,2012/08/26,late in the evening,44,\"Nevaeh, Lydia, Piper\"\ne9068,2012/08/27,in the early evening,38,\"Avery, Olivia, Nevaeh\"\ne9069,2012/08/27,in the early afternoon,40,Claire\ne9070,2012/08/27,in the late afternoon,28,\"Nora, Olivia, Piper\"\ne9071,2012/08/27,in the late afternoon,27,\"Eva, Piper\"\ne9078,2012/08/28,late in the evening,35,\"Lydia, Nevaeh, Kinsley, Claire\"\ne9079,2012/08/28,in the late afternoon,51,Rylee\ne9080,2012/08/28,in the late afternoon,49,\"Layla, Nevaeh, Olivia, Nora\"\ne9081,2012/08/28,during lunch hours,54,Olivia\ne9087,2012/08/29,during lunch hours,19,\"Avery, Kinsley, Eva, Piper\"\ne9088,2012/08/29,late in the evening,29,\"Rylee, Piper, Hazel, Kinsley\"\ne9089,2012/08/29,late in the evening,34,\"Avery, Olivia\"\ne9090,2012/08/29,in the late afternoon,36,Piper\ne9096,2012/08/30,late in the evening,41,\"Piper, Nora\"\ne9097,2012/08/30,late in the evening,18,\"Olivia, Nora\"\ne9098,2012/08/30,late in the evening,9,\"Piper, Rylee, Olivia, Eva\"\ne9105,2012/08/31,in the late afternoon,31,Olivia\ne9106,2012/08/31,in the late afternoon,14,Layla\ne9107,2012/08/31,during lunch hours,22,\"Kinsley, Hazel, Claire\"\ne9114,2012/09/01,during lunch hours,54,Layla\ne9115,2012/09/01,during lunch hours,11,\"Piper, Rylee\"\ne9116,2012/09/01,in the late afternoon,16,Kinsley\ne9123,2012/09/02,in the early evening,37,\"Piper, Claire, Piper\"\ne9124,2012/09/02,in the early evening,39,Piper\ne9125,2012/09/02,in the early afternoon,24,\"Olivia, Kinsley\"\ne9132,2012/09/03,late in the evening,48,\"Rylee, Olivia\"\ne9133,2012/09/03,in the late afternoon,7,Layla\ne9140,2012/09/04,in the morning,47,\"Eva, Lydia\"\ne9141,2012/09/04,in the morning,34,\"Rylee, Eva\"\ne9142,2012/09/04,during lunch hours,28,\"Nevaeh, Nora, Rylee\"\ne9149,2012/09/05,in the morning,17,\"Piper, Claire\"\ne9156,2012/09/06,in the early evening,31,\"Kinsley, Lydia, Piper\"\ne9157,2012/09/06,in the morning,48,Piper\ne9158,2012/09/06,during lunch hours,38,\"Olivia, Piper\"\ne9165,2012/09/07,in the late afternoon,46,\"Claire, Olivia, Hazel, Rylee\"\ne9166,2012/09/07,late in the evening,37,\"Olivia, Claire, Kinsley\"\ne9167,2012/09/07,during lunch hours,41,\"Layla, Rylee, Lydia\"\ne9168,2012/09/07,in the early evening,30,Hazel\ne9175,2012/09/08,late in the evening,25,\"Avery, Piper\"\ne9176,2012/09/08,in the early afternoon,37,\"Claire, Olivia\"\ne9177,2012/09/08,in the early evening,10,\"Piper, Hazel, Nora, Nevaeh\"\ne9184,2012/09/09,in the early afternoon,32,Piper\ne9185,2012/09/09,in the late afternoon,16,\"Piper, Rylee, Kinsley\"\ne9186,2012/09/09,in the morning,41,\"Kinsley, Layla, Hazel\"\ne9193,2012/09/10,in the early evening,11,\"Avery, Claire, Kinsley, Piper\"\ne9194,2012/09/10,in the late afternoon,39,\"Claire, Layla, Piper, Avery\"\ne9195,2012/09/10,in the early evening,37,\"Nevaeh, Lydia, Eva\"\ne9201,2012/09/11,in the early evening,28,\"Layla, Eva, Lydia, Claire\"\ne9202,2012/09/11,in the early afternoon,5,\"Olivia, Piper, Kinsley\"\ne9203,2012/09/11,in the morning,27,Nora\ne9210,2012/09/12,in the early evening,54,\"Nevaeh, Olivia, Piper\"\ne9211,2012/09/12,during lunch hours,12,\"Layla, Nora\"\ne9212,2012/09/12,in the early afternoon,6,Eva\ne9219,2012/09/13,in the late afternoon,27,\"Avery, Lydia, Claire, Hazel\"\ne9220,2012/09/13,in the early afternoon,37,\"Olivia, Eva\"\ne9221,2012/09/13,in the morning,28,\"Layla, Hazel\"\ne9222,2012/09/13,late in the evening,52,\"Piper, Lydia, Layla\"\ne9229,2012/09/14,in the morning,42,\"Piper, Nora\"\ne9230,2012/09/14,in the late afternoon,11,\"Nevaeh, Piper, Lydia\"\ne9237,2012/09/15,late in the evening,15,\"Hazel, Lydia, Piper\"\ne9238,2012/09/15,in the morning,23,\"Piper, Claire, Nora, Kinsley\"\ne9245,2012/09/16,in the early evening,38,\"Rylee, Kinsley, Claire, Piper\"\ne9246,2012/09/16,during lunch hours,49,Hazel\ne9253,2012/09/17,during lunch hours,21,\"Piper, Hazel\"\ne9254,2012/09/17,in the morning,43,Piper\ne9255,2012/09/17,during lunch hours,23,\"Olivia, Layla\"\ne9262,2012/09/18,in the morning,22,\"Claire, Lydia\"\ne9263,2012/09/18,in the early afternoon,36,\"Nora, Layla, Piper\"\ne9264,2012/09/18,in the late afternoon,37,\"Avery, Piper, Layla, Rylee\"\ne9271,2012/09/19,late in the evening,6,\"Kinsley, Layla, Avery, Nevaeh\"\ne9272,2012/09/19,during lunch hours,19,\"Eva, Layla, Nora\"\ne9273,2012/09/19,in the early evening,35,\"Eva, Avery\"\ne9274,2012/09/19,in the early evening,18,\"Eva, Rylee, Olivia\"\ne9281,2012/09/20,during lunch hours,26,Lydia\ne9282,2012/09/20,in the late afternoon,30,\"Kinsley, Piper, Lydia, Rylee\"\ne9289,2012/09/21,during lunch hours,20,\"Claire, Eva\"\ne9290,2012/09/21,during lunch hours,46,\"Claire, Olivia, Eva, Rylee\"\ne9291,2012/09/21,in the early afternoon,24,Piper\ne9298,2012/09/22,late in the evening,46,Nevaeh\ne9299,2012/09/22,during lunch hours,54,\"Rylee, Olivia\"\ne9300,2012/09/22,during lunch hours,8,\"Piper, Nora\"\ne9301,2012/09/22,in the late afternoon,30,\"Kinsley, Piper, Lydia, Nevaeh\"\ne9308,2012/09/23,in the early evening,25,\"Claire, Piper, Piper\"\ne9309,2012/09/23,during lunch hours,7,Lydia\ne9316,2012/09/24,in the early evening,16,Lydia\ne9317,2012/09/24,late in the evening,14,\"Eva, Piper\"\ne9318,2012/09/24,in the early afternoon,13,\"Lydia, Nora\"\ne9325,2012/09/25,in the early evening,47,\"Lydia, Claire, Nevaeh\"\ne9326,2012/09/25,in the early evening,9,Piper\ne9333,2012/09/26,late in the evening,21,\"Piper, Avery, Nevaeh\"\ne9334,2012/09/26,in the early afternoon,23,\"Piper, Olivia, Avery\"\ne9341,2012/09/27,in the morning,55,\"Olivia, Avery\"\ne9342,2012/09/27,in the early evening,20,\"Piper, Kinsley, Lydia\"\ne9343,2012/09/27,late in the evening,52,Olivia\ne9344,2012/09/27,during lunch hours,38,\"Nora, Piper, Nevaeh, Layla\"\ne9351,2012/09/28,in the early afternoon,18,\"Olivia, Lydia\"\ne9352,2012/09/28,in the morning,46,\"Claire, Olivia, Eva, Avery\"\ne9353,2012/09/28,late in the evening,49,\"Olivia, Nevaeh, Layla, Lydia\"\ne9360,2012/09/29,in the early evening,14,\"Olivia, Layla, Eva, Piper\"\ne9361,2012/09/29,during lunch hours,32,\"Kinsley, Avery, Lydia, Layla\"\ne9362,2012/09/29,in the morning,21,\"Olivia, Piper, Claire\"\ne9369,2012/09/30,in the morning,37,\"Avery, Eva\"\ne9370,2012/09/30,in the early afternoon,18,\"Kinsley, Hazel, Olivia\"\ne9371,2012/09/30,late in the evening,55,\"Kinsley, Nora, Nevaeh, Lydia\"\ne9378,2012/10/01,in the morning,24,\"Nevaeh, Piper, Olivia\"\ne9379,2012/10/01,in the early evening,39,\"Hazel, Rylee, Olivia\"\ne9386,2012/10/02,in the early evening,51,\"Layla, Piper, Eva, Olivia\"\ne9387,2012/10/02,during lunch hours,33,\"Rylee, Nora, Claire, Olivia\"\ne9388,2012/10/02,in the morning,41,\"Piper, Kinsley, Layla\"\ne9395,2012/10/03,in the early afternoon,31,\"Layla, Kinsley, Olivia\"\ne9396,2012/10/03,during lunch hours,10,\"Kinsley, Nevaeh, Piper\"\ne9397,2012/10/03,in the early evening,38,Olivia\ne9398,2012/10/03,in the early evening,53,\"Piper, Layla, Eva, Olivia\"\ne9405,2012/10/04,during lunch hours,14,\"Eva, Claire, Nevaeh, Rylee\"\ne9406,2012/10/04,in the early evening,29,\"Layla, Piper\"\ne9407,2012/10/04,in the early afternoon,8,\"Layla, Olivia, Rylee, Nora\"\ne9413,2012/10/05,late in the evening,55,\"Claire, Hazel, Piper\"\ne9414,2012/10/05,in the early evening,22,\"Avery, Rylee\"\ne9415,2012/10/05,in the early evening,34,\"Claire, Nevaeh, Piper, Layla\"\ne9422,2012/10/06,in the early evening,36,Olivia\ne9423,2012/10/06,in the morning,32,\"Lydia, Kinsley, Eva\"\ne9430,2012/10/07,in the morning,32,\"Hazel, Nora, Layla\"\ne9431,2012/10/07,in the late afternoon,28,\"Rylee, Layla, Hazel, Eva\"\ne9432,2012/10/07,in the early evening,51,\"Kinsley, Avery, Nevaeh\"\ne9439,2012/10/08,during lunch hours,42,\"Piper, Hazel, Kinsley\"\ne9440,2012/10/08,in the morning,10,Piper\ne9441,2012/10/08,during lunch hours,42,Rylee\ne9448,2012/10/09,in the late afternoon,35,\"Olivia, Avery, Eva\"\ne9449,2012/10/09,in the early afternoon,21,\"Layla, Claire\"\ne9450,2012/10/09,in the morning,51,Olivia\ne9457,2012/10/10,in the late afternoon,30,\"Nora, Rylee, Piper\"\ne9458,2012/10/10,in the early afternoon,21,\"Nora, Avery, Eva, Rylee\"\ne9459,2012/10/10,in the early afternoon,54,\"Rylee, Eva, Kinsley\"\ne9466,2012/10/11,in the late afternoon,54,\"Eva, Piper, Kinsley\"\ne9467,2012/10/11,during lunch hours,17,\"Eva, Layla, Hazel\"\ne9468,2012/10/11,during lunch hours,54,Layla\ne9475,2012/10/12,in the morning,15,\"Rylee, Kinsley, Piper\"\ne9476,2012/10/12,in the morning,27,\"Olivia, Kinsley, Avery, Hazel\"\ne9482,2012/10/13,late in the evening,52,Piper\ne9483,2012/10/13,during lunch hours,32,\"Layla, Kinsley, Nora\"\ne9484,2012/10/13,during lunch hours,17,Eva\ne9491,2012/10/14,in the early afternoon,51,\"Lydia, Eva, Olivia\"\ne9492,2012/10/14,in the late afternoon,40,Avery\ne9499,2012/10/15,late in the evening,37,\"Rylee, Nora, Hazel\"\ne9500,2012/10/15,in the early afternoon,43,\"Olivia, Hazel, Eva, Nora\"\ne9501,2012/10/15,in the early afternoon,44,\"Piper, Olivia, Layla\"\ne9508,2012/10/16,in the morning,8,Avery\ne9509,2012/10/16,during lunch hours,22,Layla\ne9510,2012/10/16,in the morning,31,\"Claire, Piper, Lydia, Avery\"\ne9517,2012/10/17,in the early afternoon,33,Layla\ne9518,2012/10/17,in the early evening,48,\"Avery, Nevaeh, Layla, Kinsley\"\ne9519,2012/10/17,late in the evening,33,\"Rylee, Claire, Layla\"\ne9520,2012/10/17,late in the evening,18,\"Layla, Nevaeh, Hazel, Nora\"\ne9526,2012/10/18,in the early afternoon,30,Piper\ne9527,2012/10/18,in the late afternoon,53,\"Piper, Claire\"\ne9528,2012/10/18,in the early evening,32,\"Avery, Kinsley\"\ne9535,2012/10/19,in the morning,48,\"Nora, Olivia\"\ne9536,2012/10/19,during lunch hours,23,Avery\ne9537,2012/10/19,in the late afternoon,32,\"Avery, Lydia\"\ne9544,2012/10/20,during lunch hours,41,\"Layla, Nora, Lydia\"\ne9545,2012/10/20,in the early afternoon,27,\"Rylee, Nora, Lydia, Piper\"\ne9546,2012/10/20,in the early afternoon,31,\"Kinsley, Hazel, Rylee, Layla\"\ne9547,2012/10/20,in the morning,45,Hazel\ne9554,2012/10/21,late in the evening,33,\"Nora, Nevaeh, Rylee, Eva\"\ne9555,2012/10/21,in the early evening,16,\"Olivia, Rylee, Layla, Eva\"\ne9556,2012/10/21,in the late afternoon,5,\"Rylee, Claire\"\ne9562,2012/10/22,in the early afternoon,19,Layla\ne9563,2012/10/22,in the late afternoon,54,\"Claire, Nora, Nevaeh\"\ne9570,2012/10/23,during lunch hours,42,\"Piper, Eva, Nevaeh\"\ne9571,2012/10/23,in the early afternoon,33,\"Hazel, Piper, Eva, Layla\"\ne9572,2012/10/23,in the late afternoon,16,\"Hazel, Lydia\"\ne9579,2012/10/24,in the morning,32,Claire\ne9580,2012/10/24,in the early afternoon,36,Piper\ne9581,2012/10/24,late in the evening,39,\"Kinsley, Hazel, Avery, Nevaeh\"\ne9588,2012/10/25,in the morning,6,\"Claire, Piper, Kinsley, Piper\"\ne9589,2012/10/25,in the early afternoon,36,\"Layla, Avery\"\ne9596,2012/10/26,in the early afternoon,41,\"Piper, Olivia, Avery\"\ne9597,2012/10/26,in the early afternoon,24,\"Piper, Piper, Nevaeh\"\ne9598,2012/10/26,during lunch hours,7,\"Claire, Lydia\"\ne9605,2012/10/27,in the morning,21,Rylee\ne9606,2012/10/27,during lunch hours,30,\"Hazel, Lydia\"\ne9613,2012/10/28,in the early evening,32,\"Piper, Kinsley\"\ne9620,2012/10/29,in the early afternoon,33,\"Olivia, Rylee, Hazel\"\ne9621,2012/10/29,in the morning,15,Nora\ne9622,2012/10/29,in the late afternoon,23,\"Lydia, Hazel, Nora, Piper\"\ne9629,2012/10/30,in the late afternoon,6,\"Avery, Kinsley, Hazel, Piper\"\ne9630,2012/10/30,late in the evening,39,\"Avery, Piper, Nora, Eva\"\ne9631,2012/10/30,late in the evening,16,\"Lydia, Claire\"\ne9632,2012/10/30,in the early afternoon,14,\"Lydia, Olivia, Hazel, Avery\"\ne9639,2012/10/31,in the early afternoon,46,\"Hazel, Avery\"\ne9640,2012/10/31,in the morning,46,\"Nevaeh, Eva, Piper\"\ne9641,2012/10/31,late in the evening,31,\"Lydia, Eva, Avery, Hazel\"\ne9648,2012/11/01,in the early evening,18,Avery\ne9649,2012/11/01,in the late afternoon,30,\"Lydia, Avery, Rylee\"\ne9650,2012/11/01,in the early afternoon,37,\"Nevaeh, Claire, Hazel, Olivia\"\ne9651,2012/11/01,in the early afternoon,38,Kinsley\ne9658,2012/11/02,late in the evening,30,\"Piper, Nora\"\ne9659,2012/11/02,in the early afternoon,17,\"Kinsley, Avery\"\ne9660,2012/11/02,in the early afternoon,17,\"Piper, Nora, Layla\"\ne9666,2012/11/03,during lunch hours,11,\"Hazel, Kinsley\"\ne9667,2012/11/03,in the early afternoon,37,Kinsley\ne9668,2012/11/03,in the early evening,45,\"Hazel, Avery\"\ne9669,2012/11/03,during lunch hours,45,\"Rylee, Nevaeh, Hazel, Layla\"\ne9676,2012/11/04,in the morning,6,\"Olivia, Eva, Kinsley\"\ne9677,2012/11/04,in the morning,36,\"Kinsley, Rylee, Avery\"\ne9678,2012/11/04,in the early evening,5,\"Avery, Hazel\"\ne9685,2012/11/05,during lunch hours,35,Nevaeh\ne9686,2012/11/05,in the late afternoon,39,\"Lydia, Layla, Rylee\"\ne9687,2012/11/05,in the late afternoon,27,\"Nevaeh, Kinsley, Lydia\"\ne9694,2012/11/06,late in the evening,42,\"Lydia, Claire\"\ne9695,2012/11/06,in the early afternoon,38,\"Lydia, Piper, Olivia, Nevaeh\"\ne9702,2012/11/07,late in the evening,17,Avery\ne9703,2012/11/07,in the morning,30,\"Layla, Kinsley, Nevaeh\"\ne9710,2012/11/08,in the early afternoon,21,Avery\ne9711,2012/11/08,in the early afternoon,14,\"Layla, Nora\"\ne9712,2012/11/08,in the late afternoon,10,\"Layla, Nevaeh, Eva, Kinsley\"\ne9713,2012/11/08,in the morning,9,Rylee\ne9720,2012/11/09,late in the evening,46,\"Layla, Lydia, Hazel\"\ne9727,2012/11/10,in the early afternoon,53,\"Piper, Eva\"\ne9728,2012/11/10,during lunch hours,22,Olivia\ne9729,2012/11/10,late in the evening,50,Nevaeh\ne9736,2012/11/11,in the morning,26,\"Nora, Hazel\"\ne9737,2012/11/11,in the early afternoon,54,Rylee\ne9738,2012/11/11,during lunch hours,41,\"Eva, Lydia, Rylee, Nora\"\ne9745,2012/11/12,in the morning,13,Lydia\ne9746,2012/11/12,in the morning,24,\"Nora, Avery\"\ne9747,2012/11/12,in the late afternoon,33,Kinsley\ne9754,2012/11/13,during lunch hours,42,\"Rylee, Eva, Claire, Hazel\"\ne9755,2012/11/13,during lunch hours,20,\"Kinsley, Olivia, Layla\"\ne9756,2012/11/13,late in the evening,48,Piper\ne9762,2012/11/14,in the morning,39,\"Kinsley, Eva, Rylee\"\ne9763,2012/11/14,in the late afternoon,14,\"Lydia, Nevaeh, Hazel, Eva\"\ne9764,2012/11/14,during lunch hours,23,\"Piper, Avery\"\ne9765,2012/11/14,late in the evening,24,Lydia\ne9772,2012/11/15,late in the evening,20,Olivia\ne9773,2012/11/15,in the early evening,21,\"Avery, Nora\"\ne9780,2012/11/16,in the early afternoon,13,\"Piper, Rylee, Lydia, Claire\"\ne9781,2012/11/16,late in the evening,32,Olivia\ne9782,2012/11/16,in the early afternoon,12,Kinsley\ne9789,2012/11/17,in the late afternoon,52,Lydia\ne9790,2012/11/17,late in the evening,39,\"Olivia, Hazel, Lydia, Claire\"\ne9791,2012/11/17,in the late afternoon,23,Eva\ne9798,2012/11/18,in the late afternoon,9,\"Nora, Eva, Layla, Kinsley\"\ne9799,2012/11/18,in the early afternoon,19,Avery\ne9800,2012/11/18,in the late afternoon,47,Claire\ne9806,2012/11/19,during lunch hours,18,\"Olivia, Nora, Kinsley, Rylee\"\ne9807,2012/11/19,in the early evening,20,\"Hazel, Olivia, Eva, Claire\"\ne9808,2012/11/19,in the early afternoon,40,Piper\ne9815,2012/11/20,in the early afternoon,33,\"Hazel, Piper, Rylee, Kinsley\"\ne9816,2012/11/20,during lunch hours,53,\"Piper, Avery, Lydia, Nevaeh\"\ne9817,2012/11/20,late in the evening,8,\"Nora, Hazel\"\ne9818,2012/11/20,late in the evening,39,\"Olivia, Layla, Lydia\"\ne9825,2012/11/21,in the early afternoon,53,\"Nora, Piper, Rylee\"\ne9826,2012/11/21,in the early afternoon,14,\"Layla, Piper, Nora, Rylee\"\ne9827,2012/11/21,in the morning,38,\"Nora, Claire, Piper\"\ne9834,2012/11/22,in the morning,42,\"Nevaeh, Eva, Rylee, Hazel\"\ne9835,2012/11/22,in the late afternoon,34,Claire\ne9842,2012/11/23,late in the evening,24,\"Rylee, Eva, Kinsley, Piper\"\ne9843,2012/11/23,in the early evening,15,\"Layla, Nora, Piper\"\ne9844,2012/11/23,in the early evening,47,\"Kinsley, Nora\"\ne9851,2012/11/24,in the morning,20,\"Nevaeh, Layla\"\ne9852,2012/11/24,in the morning,38,\"Eva, Nora\"\ne9859,2012/11/25,in the morning,37,\"Nevaeh, Piper, Olivia, Eva\"\ne9860,2012/11/25,in the morning,25,\"Avery, Lydia\"\ne9861,2012/11/25,late in the evening,28,\"Lydia, Piper\"\ne9868,2012/11/26,in the early afternoon,23,\"Layla, Nora\"\ne9869,2012/11/26,in the morning,15,\"Nora, Piper, Nevaeh\"\ne9870,2012/11/26,late in the evening,50,Layla\ne9877,2012/11/27,in the early evening,15,\"Layla, Kinsley, Hazel, Lydia\"\ne9883,2012/11/28,late in the evening,38,\"Avery, Rylee, Lydia, Nevaeh\"\ne9884,2012/11/28,in the early evening,10,\"Nora, Kinsley, Olivia, Hazel\"\ne9891,2012/11/29,in the early evening,7,\"Nevaeh, Eva, Lydia, Avery\"\ne9892,2012/11/29,in the early evening,27,\"Rylee, Kinsley\"\ne9893,2012/11/29,during lunch hours,30,\"Hazel, Claire\"\ne9894,2012/11/29,in the early evening,18,Kinsley\ne9901,2012/11/30,during lunch hours,30,\"Avery, Nora, Lydia\"\ne9902,2012/11/30,in the early afternoon,22,Piper\ne9903,2012/11/30,in the early evening,15,\"Rylee, Piper, Lydia, Piper\"\ne9904,2012/11/30,in the morning,11,\"Rylee, Olivia, Piper\"\ne9911,2012/12/01,in the early evening,40,\"Piper, Piper, Layla\"\ne9912,2012/12/01,late in the evening,20,\"Claire, Piper, Kinsley, Nevaeh\"\ne9919,2012/12/02,in the early evening,20,\"Eva, Nevaeh, Hazel, Avery\"\ne9926,2012/12/03,in the morning,43,\"Kinsley, Layla, Rylee\"\ne9927,2012/12/03,in the morning,6,\"Nora, Kinsley, Avery\"\ne9928,2012/12/03,in the late afternoon,25,\"Layla, Nevaeh, Rylee\"\ne9934,2012/12/04,late in the evening,38,Avery\ne9935,2012/12/04,in the morning,17,\"Lydia, Layla, Hazel, Nevaeh\"\ne9936,2012/12/04,in the late afternoon,26,\"Avery, Piper\"\ne9943,2012/12/05,in the early evening,40,\"Hazel, Nora\"\ne9944,2012/12/05,in the early afternoon,55,\"Piper, Avery, Nora, Piper\"\ne9951,2012/12/06,in the late afternoon,55,\"Layla, Eva, Piper, Rylee\"\ne9952,2012/12/06,in the early evening,21,\"Rylee, Hazel\"\ne9953,2012/12/06,in the early afternoon,30,\"Layla, Rylee, Piper, Hazel\"\ne9960,2012/12/07,in the late afternoon,41,\"Layla, Claire\"\ne9961,2012/12/07,in the morning,52,Nevaeh\ne9962,2012/12/07,late in the evening,33,\"Rylee, Eva, Nevaeh, Lydia\"\ne9969,2012/12/08,late in the evening,46,\"Piper, Olivia, Hazel\"\ne9970,2012/12/08,in the late afternoon,55,\"Olivia, Piper, Avery\"\ne9977,2012/12/09,in the early evening,52,\"Hazel, Nora, Layla\"\ne9978,2012/12/09,during lunch hours,33,\"Olivia, Piper, Piper\"\ne9985,2012/12/10,late in the evening,44,\"Piper, Olivia\"\ne9986,2012/12/10,during lunch hours,40,\"Piper, Olivia\"\ne9987,2012/12/10,during lunch hours,49,\"Lydia, Avery, Claire, Piper\"\ne9993,2012/12/11,in the late afternoon,27,\"Kinsley, Eva\"\ne9994,2012/12/11,in the morning,39,\"Piper, Piper, Olivia\"\ne10001,2012/12/12,in the early evening,54,\"Hazel, Piper, Kinsley, Piper\"\ne10002,2012/12/12,in the early evening,11,\"Kinsley, Nora, Layla, Piper\"\ne10003,2012/12/12,during lunch hours,31,\"Hazel, Layla\"\ne10004,2012/12/12,in the morning,28,\"Eva, Piper\"\ne10011,2012/12/13,in the late afternoon,33,\"Eva, Nora, Avery, Nevaeh\"\ne10012,2012/12/13,in the early evening,7,Rylee\ne10013,2012/12/13,in the morning,14,\"Piper, Nora, Nevaeh, Hazel\"\ne10020,2012/12/14,in the late afternoon,36,\"Nora, Piper, Eva\"\ne10021,2012/12/14,during lunch hours,20,\"Lydia, Piper, Nora, Layla\"\ne10027,2012/12/15,during lunch hours,53,\"Hazel, Piper, Rylee, Olivia\"\ne10028,2012/12/15,in the early afternoon,7,\"Nora, Piper, Hazel, Rylee\"\ne10029,2012/12/15,in the early afternoon,41,\"Hazel, Avery, Eva, Olivia\"\ne10030,2012/12/15,in the morning,37,\"Olivia, Piper, Rylee\"\ne10037,2012/12/16,in the morning,15,\"Nevaeh, Piper, Olivia\"\ne10038,2012/12/16,in the morning,43,\"Layla, Piper, Rylee, Eva\"\ne10045,2012/12/17,in the late afternoon,25,\"Eva, Olivia, Layla, Piper\"\ne10046,2012/12/17,in the early afternoon,10,\"Nevaeh, Claire\"\ne10047,2012/12/17,in the early evening,45,\"Hazel, Kinsley\"\ne10054,2012/12/18,in the late afternoon,23,Hazel\ne10055,2012/12/18,in the early afternoon,21,\"Hazel, Layla, Piper, Eva\"\ne10056,2012/12/18,in the morning,23,Olivia\ne10063,2012/12/19,late in the evening,43,\"Hazel, Lydia, Nevaeh, Layla\"\ne10064,2012/12/19,in the late afternoon,25,\"Lydia, Piper, Layla, Avery\"\ne10071,2012/12/20,in the morning,55,\"Nora, Layla, Piper\"\ne10072,2012/12/20,in the early afternoon,34,\"Avery, Claire\"\ne10073,2012/12/20,in the late afternoon,13,\"Eva, Olivia, Avery\"\ne10080,2012/12/21,late in the evening,24,\"Piper, Claire, Nora, Nevaeh\"\ne10081,2012/12/21,late in the evening,53,\"Claire, Piper\"\ne10082,2012/12/21,in the morning,7,\"Eva, Layla\"\ne10089,2012/12/22,in the morning,24,\"Nevaeh, Lydia, Rylee, Kinsley\"\ne10090,2012/12/22,in the morning,37,\"Nevaeh, Nora, Layla, Piper\"\ne10091,2012/12/22,during lunch hours,27,\"Nevaeh, Lydia, Olivia, Claire\"\ne10098,2012/12/23,in the early afternoon,38,Rylee\ne10104,2012/12/24,in the morning,33,\"Piper, Nevaeh, Hazel, Nora\"\ne10105,2012/12/24,in the late afternoon,9,\"Piper, Nevaeh\"\ne10106,2012/12/24,in the early evening,28,\"Olivia, Nevaeh, Claire, Avery\"\ne10107,2012/12/24,in the early afternoon,43,Claire\ne10114,2012/12/25,late in the evening,49,Layla\ne10115,2012/12/25,during lunch hours,12,\"Piper, Piper, Kinsley\"\ne10116,2012/12/25,late in the evening,29,\"Rylee, Piper, Kinsley\"\ne10117,2012/12/25,during lunch hours,28,\"Nora, Eva\"\ne10124,2012/12/26,late in the evening,14,\"Lydia, Layla\"\ne10125,2012/12/26,in the late afternoon,53,Piper\ne10126,2012/12/26,during lunch hours,15,\"Nora, Olivia\"\ne10133,2012/12/27,in the early evening,17,\"Piper, Hazel, Nevaeh\"\ne10134,2012/12/27,late in the evening,20,Layla\ne10135,2012/12/27,during lunch hours,17,\"Layla, Nora, Eva, Nevaeh\"\ne10142,2012/12/28,late in the evening,23,Kinsley\ne10143,2012/12/28,in the late afternoon,34,\"Piper, Avery, Eva, Piper\"\ne10144,2012/12/28,in the early afternoon,19,Nora\ne10151,2012/12/29,in the morning,30,\"Olivia, Nora\"\ne10152,2012/12/29,during lunch hours,26,\"Avery, Nora, Claire\"\ne10153,2012/12/29,late in the evening,41,Hazel\ne10160,2012/12/30,in the early evening,7,\"Lydia, Piper, Rylee\"\ne10161,2012/12/30,in the early evening,17,Eva\ne10162,2012/12/30,in the late afternoon,38,\"Hazel, Olivia\"\ne10163,2012/12/30,during lunch hours,37,Lydia\ne10170,2012/12/31,in the early afternoon,39,\"Eva, Kinsley\"\ne10171,2012/12/31,in the early afternoon,45,\"Piper, Claire, Eva, Kinsley\"\ne10172,2012/12/31,late in the evening,49,\"Hazel, Kinsley, Claire, Olivia\"\ne10356,2013/01/01,during lunch hours,37,\"Claire, Piper, Layla, Hazel\"\ne10357,2013/01/01,in the late afternoon,49,\"Olivia, Piper\"\ne10364,2013/01/02,in the early evening,40,Nora\ne10365,2013/01/02,during lunch hours,10,\"Rylee, Olivia\"\ne10366,2013/01/02,in the early evening,44,\"Avery, Hazel, Rylee, Piper\"\ne10373,2013/01/03,in the early afternoon,21,\"Layla, Nora\"\ne10374,2013/01/03,in the early afternoon,48,Claire\ne10381,2013/01/04,in the early evening,52,\"Avery, Piper, Claire, Olivia\"\ne10382,2013/01/04,in the late afternoon,19,\"Nevaeh, Lydia, Piper\"\ne10383,2013/01/04,in the late afternoon,33,\"Piper, Nevaeh, Hazel, Avery\"\ne10384,2013/01/04,in the late afternoon,7,Piper\ne10391,2013/01/05,in the early afternoon,7,Piper\ne10392,2013/01/05,late in the evening,8,\"Avery, Claire, Nevaeh, Layla\"\ne10393,2013/01/05,in the morning,50,\"Avery, Kinsley\"\ne10400,2013/01/06,in the early evening,43,\"Piper, Hazel, Piper\"\ne10401,2013/01/06,late in the evening,47,\"Kinsley, Nora\"\ne10402,2013/01/06,late in the evening,13,\"Hazel, Piper, Rylee, Piper\"\ne10403,2013/01/06,during lunch hours,44,\"Nevaeh, Olivia, Kinsley, Eva\"\ne10410,2013/01/07,in the early evening,52,\"Lydia, Piper, Avery\"\ne10411,2013/01/07,in the late afternoon,18,\"Hazel, Rylee, Lydia\"\ne10418,2013/01/08,during lunch hours,17,\"Kinsley, Piper, Avery\"\ne10419,2013/01/08,in the early evening,11,\"Layla, Hazel, Nevaeh\"\ne10426,2013/01/09,in the early afternoon,15,\"Piper, Eva\"\ne10427,2013/01/09,in the late afternoon,6,\"Claire, Piper, Nora\"\ne10433,2013/01/10,in the early evening,7,\"Piper, Hazel\"\ne10434,2013/01/10,in the early evening,18,Rylee\ne10435,2013/01/10,in the early evening,44,Olivia\ne10442,2013/01/11,in the early afternoon,52,Hazel\ne10443,2013/01/11,in the late afternoon,55,Layla\ne10450,2013/01/12,in the early evening,22,Piper\ne10451,2013/01/12,in the early evening,21,\"Olivia, Lydia, Eva, Claire\"\ne10452,2013/01/12,in the late afternoon,37,Layla\ne10459,2013/01/13,in the morning,19,\"Lydia, Olivia, Rylee\"\ne10460,2013/01/13,in the early evening,54,Hazel\ne10461,2013/01/13,late in the evening,47,\"Nora, Piper\"\ne10468,2013/01/14,in the late afternoon,18,\"Claire, Avery, Olivia, Piper\"\ne10469,2013/01/14,late in the evening,23,\"Eva, Lydia, Nevaeh, Layla\"\ne10476,2013/01/15,in the early evening,23,\"Avery, Layla, Eva, Kinsley\"\ne10477,2013/01/15,in the morning,19,\"Kinsley, Avery, Layla\"\ne10478,2013/01/15,in the morning,29,\"Piper, Rylee, Layla, Nora\"\ne10484,2013/01/16,in the late afternoon,53,\"Avery, Rylee, Kinsley, Claire\"\ne10485,2013/01/16,in the late afternoon,43,Olivia\ne10486,2013/01/16,in the morning,35,\"Claire, Olivia\"\ne10487,2013/01/16,in the early afternoon,55,\"Nevaeh, Piper, Hazel, Nora\"\ne10494,2013/01/17,during lunch hours,12,\"Lydia, Olivia\"\ne10495,2013/01/17,in the early evening,15,\"Kinsley, Piper, Hazel, Olivia\"\ne10502,2013/01/18,during lunch hours,48,\"Avery, Piper\"\ne10503,2013/01/18,late in the evening,24,Rylee\ne10504,2013/01/18,in the morning,8,Layla\ne10511,2013/01/19,in the late afternoon,34,\"Rylee, Avery, Olivia\"\ne10512,2013/01/19,in the early afternoon,9,\"Lydia, Eva\"\ne10519,2013/01/20,in the late afternoon,48,\"Lydia, Nora\"\ne10520,2013/01/20,in the morning,55,\"Rylee, Hazel, Kinsley\"\ne10521,2013/01/20,in the early evening,31,\"Nora, Layla\"\ne10528,2013/01/21,in the early afternoon,22,\"Olivia, Nora, Avery\"\ne10529,2013/01/21,in the early afternoon,25,\"Avery, Piper\"\ne10536,2013/01/22,in the morning,23,Piper\ne10537,2013/01/22,in the morning,17,\"Hazel, Eva, Nevaeh, Piper\"\ne10544,2013/01/23,during lunch hours,48,Layla\ne10551,2013/01/24,during lunch hours,35,\"Lydia, Kinsley, Olivia\"\ne10552,2013/01/24,in the late afternoon,24,\"Kinsley, Piper, Layla\"\ne10553,2013/01/24,in the morning,7,Olivia\ne10560,2013/01/25,in the morning,46,\"Avery, Piper, Nora, Claire\"\ne10561,2013/01/25,in the early afternoon,50,\"Avery, Layla, Olivia\"\ne10568,2013/01/26,late in the evening,39,\"Nora, Kinsley\"\ne10569,2013/01/26,late in the evening,10,\"Nora, Olivia, Piper, Claire\"\ne10576,2013/01/27,during lunch hours,15,\"Olivia, Piper, Avery\"\ne10577,2013/01/27,in the early afternoon,29,\"Eva, Olivia, Hazel, Piper\"\ne10578,2013/01/27,late in the evening,12,Rylee\ne10585,2013/01/28,in the late afternoon,53,\"Nora, Nevaeh, Piper\"\ne10586,2013/01/28,in the early afternoon,46,Piper\ne10593,2013/01/29,late in the evening,40,Nevaeh\ne10594,2013/01/29,in the early evening,6,\"Hazel, Nevaeh, Claire, Layla\"\ne10595,2013/01/29,in the early evening,53,Olivia\ne10602,2013/01/30,in the early afternoon,30,Rylee\ne10603,2013/01/30,in the morning,14,\"Piper, Lydia\"\ne10604,2013/01/30,in the morning,22,\"Olivia, Hazel, Rylee\"\ne10611,2013/01/31,in the early evening,9,\"Lydia, Eva\"\ne10612,2013/01/31,during lunch hours,7,\"Piper, Kinsley, Eva\"\ne10613,2013/01/31,in the early evening,45,\"Layla, Piper\"\ne10614,2013/01/31,late in the evening,25,\"Rylee, Eva, Olivia, Nevaeh\"\ne10621,2013/02/01,in the early evening,19,Avery\ne10622,2013/02/01,late in the evening,35,Avery\ne10623,2013/02/01,in the early afternoon,25,Rylee\ne10629,2013/02/02,in the early evening,45,\"Eva, Rylee, Piper\"\ne10630,2013/02/02,in the morning,41,\"Avery, Hazel, Lydia\"\ne10637,2013/02/03,late in the evening,48,\"Kinsley, Nevaeh, Piper\"\ne10638,2013/02/03,in the late afternoon,16,\"Olivia, Claire\"\ne10645,2013/02/04,late in the evening,32,\"Avery, Lydia\"\ne10646,2013/02/04,late in the evening,31,\"Claire, Lydia, Olivia\"\ne10647,2013/02/04,late in the evening,10,\"Nora, Eva, Olivia, Piper\"\ne10654,2013/02/05,in the early afternoon,45,\"Eva, Hazel\"\ne10655,2013/02/05,in the morning,40,\"Olivia, Avery, Piper\"\ne10656,2013/02/05,in the early afternoon,41,\"Piper, Eva, Nora\"\ne10657,2013/02/05,during lunch hours,14,\"Hazel, Piper, Rylee\"\ne10664,2013/02/06,in the late afternoon,22,\"Hazel, Avery\"\ne10665,2013/02/06,late in the evening,52,\"Rylee, Kinsley\"\ne10672,2013/02/07,during lunch hours,39,\"Nevaeh, Piper\"\ne10673,2013/02/07,in the late afternoon,16,\"Kinsley, Lydia\"\ne10680,2013/02/08,late in the evening,8,Nora\ne10681,2013/02/08,late in the evening,42,\"Claire, Piper, Lydia, Piper\"\ne10682,2013/02/08,in the morning,18,\"Olivia, Avery\"\ne10689,2013/02/09,in the late afternoon,12,\"Piper, Hazel\"\ne10690,2013/02/09,in the early evening,29,\"Kinsley, Nevaeh\"\ne10691,2013/02/09,in the late afternoon,48,\"Olivia, Nora, Piper\"\ne10698,2013/02/10,in the morning,48,\"Olivia, Hazel\"\ne10699,2013/02/10,in the early evening,9,\"Piper, Nora\"\ne10700,2013/02/10,in the early afternoon,6,Olivia\ne10707,2013/02/11,during lunch hours,21,\"Lydia, Nora, Claire, Avery\"\ne10708,2013/02/11,in the morning,17,\"Piper, Avery, Olivia\"\ne10709,2013/02/11,in the early evening,8,\"Olivia, Eva, Lydia, Rylee\"\ne10716,2013/02/12,during lunch hours,53,\"Avery, Kinsley, Layla\"\ne10717,2013/02/12,during lunch hours,38,\"Lydia, Claire, Rylee\"\ne10724,2013/02/13,in the early afternoon,35,\"Piper, Olivia, Layla, Rylee\"\ne10725,2013/02/13,in the late afternoon,23,\"Rylee, Layla, Piper, Claire\"\ne10726,2013/02/13,in the early afternoon,53,\"Olivia, Hazel\"\ne10727,2013/02/13,in the late afternoon,20,Piper\ne10734,2013/02/14,in the late afternoon,43,Nevaeh\ne10735,2013/02/14,during lunch hours,41,Lydia\ne10736,2013/02/14,in the morning,18,\"Lydia, Claire, Nora, Olivia\"\ne10737,2013/02/14,late in the evening,52,\"Piper, Rylee, Olivia\"\ne10744,2013/02/15,in the early evening,26,\"Lydia, Olivia, Eva, Rylee\"\ne10745,2013/02/15,in the late afternoon,44,\"Nora, Hazel, Avery, Nevaeh\"\ne10746,2013/02/15,in the early evening,23,\"Nora, Avery\"\ne10747,2013/02/15,in the early afternoon,8,Hazel\ne10754,2013/02/16,in the morning,13,Piper\ne10755,2013/02/16,in the early evening,13,\"Nevaeh, Rylee, Hazel\"\ne10756,2013/02/16,in the early afternoon,26,Nevaeh\ne10763,2013/02/17,in the early afternoon,44,\"Piper, Avery, Olivia\"\ne10764,2013/02/17,during lunch hours,29,Eva\ne10771,2013/02/18,in the early evening,12,\"Nevaeh, Olivia, Rylee, Nora\"\ne10772,2013/02/18,during lunch hours,25,\"Avery, Layla, Olivia\"\ne10773,2013/02/18,in the early afternoon,25,Piper\ne10780,2013/02/19,in the early evening,12,\"Claire, Nevaeh\"\ne10781,2013/02/19,in the morning,37,Piper\ne10782,2013/02/19,in the late afternoon,42,Lydia\ne10783,2013/02/19,late in the evening,28,\"Lydia, Olivia, Nora\"\ne10790,2013/02/20,in the early evening,7,\"Layla, Avery\"\ne10791,2013/02/20,in the early afternoon,14,\"Nevaeh, Claire, Kinsley\"\ne10792,2013/02/20,in the early evening,54,\"Piper, Claire, Layla, Rylee\"\ne10799,2013/02/21,in the morning,39,\"Piper, Layla\"\ne10800,2013/02/21,in the early evening,14,\"Piper, Avery, Hazel\"\ne10807,2013/02/22,late in the evening,29,Claire\ne10808,2013/02/22,in the early evening,25,\"Piper, Rylee, Claire, Nora\"\ne10809,2013/02/22,in the early evening,11,\"Claire, Piper, Piper\"\ne10816,2013/02/23,in the early evening,6,\"Olivia, Piper, Nora, Eva\"\ne10817,2013/02/23,in the early afternoon,54,\"Layla, Hazel, Lydia\"\ne10818,2013/02/23,in the late afternoon,50,Piper\ne10824,2013/02/24,in the late afternoon,40,Eva\ne10825,2013/02/24,during lunch hours,18,\"Hazel, Lydia\"\ne10826,2013/02/24,in the early afternoon,42,Rylee\ne10833,2013/02/25,in the early evening,43,Nevaeh\ne10834,2013/02/25,in the late afternoon,49,\"Nora, Lydia, Eva\"\ne10841,2013/02/26,late in the evening,43,\"Hazel, Nora\"\ne10842,2013/02/26,in the early evening,18,Piper\ne10849,2013/02/27,in the early evening,35,\"Kinsley, Nevaeh\"\ne10850,2013/02/27,in the early afternoon,25,\"Layla, Piper, Piper, Claire\"\ne10851,2013/02/27,in the early afternoon,54,Piper\ne10858,2013/02/28,in the late afternoon,27,\"Avery, Piper\"\ne10859,2013/02/28,during lunch hours,52,\"Kinsley, Layla\"\ne10866,2013/03/01,in the morning,8,Hazel\ne10867,2013/03/01,in the early afternoon,53,\"Hazel, Nora, Eva, Piper\"\ne10873,2013/03/02,during lunch hours,54,\"Olivia, Hazel\"\ne10874,2013/03/02,in the early afternoon,40,\"Avery, Claire, Rylee, Hazel\"\ne10881,2013/03/03,in the morning,24,Piper\ne10882,2013/03/03,late in the evening,10,\"Hazel, Layla, Olivia, Eva\"\ne10883,2013/03/03,in the morning,41,\"Lydia, Rylee, Layla, Avery\"\ne10890,2013/03/04,in the early afternoon,5,\"Lydia, Nora, Eva, Rylee\"\ne10897,2013/03/05,in the early evening,35,\"Hazel, Nevaeh\"\ne10898,2013/03/05,in the early afternoon,37,\"Lydia, Kinsley, Piper, Eva\"\ne10899,2013/03/05,during lunch hours,29,Hazel\ne10900,2013/03/05,in the early evening,15,Lydia\ne10907,2013/03/06,in the early evening,22,\"Olivia, Nevaeh, Piper\"\ne10908,2013/03/06,in the early afternoon,5,\"Lydia, Olivia\"\ne10909,2013/03/06,during lunch hours,42,\"Rylee, Lydia\"\ne10916,2013/03/07,in the late afternoon,49,\"Nevaeh, Piper, Hazel\"\ne10917,2013/03/07,in the late afternoon,44,\"Kinsley, Eva\"\ne10918,2013/03/07,in the late afternoon,39,\"Piper, Claire, Lydia\"\ne10925,2013/03/08,in the early evening,6,\"Hazel, Avery, Kinsley\"\ne10926,2013/03/08,during lunch hours,14,\"Olivia, Piper\"\ne10927,2013/03/08,during lunch hours,20,\"Hazel, Nora\"\ne10928,2013/03/08,in the early afternoon,7,\"Nevaeh, Hazel, Claire\"\ne10935,2013/03/09,late in the evening,39,\"Rylee, Nora\"\ne10936,2013/03/09,in the early evening,10,\"Eva, Rylee\"\ne10937,2013/03/09,late in the evening,39,\"Eva, Piper, Kinsley, Layla\"\ne10944,2013/03/10,in the early afternoon,47,\"Eva, Lydia\"\ne10945,2013/03/10,in the late afternoon,20,\"Hazel, Layla, Olivia\"\ne10952,2013/03/11,in the morning,45,\"Olivia, Rylee, Piper, Eva\"\ne10953,2013/03/11,in the late afternoon,14,\"Piper, Kinsley\"\ne10954,2013/03/11,in the early evening,7,\"Claire, Lydia, Nora, Rylee\"\ne10961,2013/03/12,in the morning,19,\"Hazel, Avery\"\ne10962,2013/03/12,in the late afternoon,8,\"Nevaeh, Hazel, Piper, Avery\"\ne10963,2013/03/12,in the late afternoon,45,\"Lydia, Eva, Kinsley\"\ne10964,2013/03/12,in the late afternoon,13,\"Nora, Hazel, Piper\"\ne10971,2013/03/13,in the morning,11,\"Claire, Eva, Nevaeh\"\ne10972,2013/03/13,late in the evening,34,Nevaeh\ne10973,2013/03/13,late in the evening,37,\"Kinsley, Nevaeh\"\ne10980,2013/03/14,in the early afternoon,15,\"Eva, Kinsley\"\ne10981,2013/03/14,during lunch hours,31,\"Eva, Hazel, Kinsley, Lydia\"\ne10982,2013/03/14,late in the evening,17,Piper\ne10989,2013/03/15,late in the evening,12,\"Kinsley, Claire\"\ne10990,2013/03/15,late in the evening,20,\"Kinsley, Piper\"\ne10991,2013/03/15,late in the evening,47,\"Rylee, Nora\"\ne10998,2013/03/16,late in the evening,43,Piper\ne10999,2013/03/16,in the early afternoon,10,\"Nevaeh, Layla\"\ne11000,2013/03/16,late in the evening,17,Piper\ne11001,2013/03/16,during lunch hours,12,\"Piper, Lydia, Piper, Avery\"\ne11008,2013/03/17,in the morning,7,Piper\ne11009,2013/03/17,in the morning,10,\"Piper, Rylee\"\ne11010,2013/03/17,late in the evening,40,\"Nora, Eva\"\ne11017,2013/03/18,in the morning,12,\"Claire, Layla, Lydia, Piper\"\ne11018,2013/03/18,in the early evening,54,\"Lydia, Piper, Eva\"\ne11019,2013/03/18,in the early evening,40,\"Nora, Layla\"\ne11020,2013/03/18,in the late afternoon,29,\"Eva, Nevaeh, Claire\"\ne11027,2013/03/19,late in the evening,28,Hazel\ne11034,2013/03/20,in the early evening,30,Kinsley\ne11035,2013/03/20,in the early evening,9,Nevaeh\ne11042,2013/03/21,in the early evening,43,\"Claire, Nora\"\ne11043,2013/03/21,in the early afternoon,24,Olivia\ne11044,2013/03/21,late in the evening,19,Rylee\ne11051,2013/03/22,in the early afternoon,26,\"Eva, Olivia, Nora, Kinsley\"\ne11052,2013/03/22,in the early evening,14,Avery\ne11059,2013/03/23,during lunch hours,34,Layla\ne11060,2013/03/23,in the early afternoon,18,\"Nora, Piper, Claire\"\ne11067,2013/03/24,in the late afternoon,34,\"Nevaeh, Claire, Kinsley, Piper\"\ne11068,2013/03/24,in the early afternoon,11,\"Piper, Olivia\"\ne11075,2013/03/25,late in the evening,30,Hazel\ne11076,2013/03/25,late in the evening,18,\"Piper, Piper, Eva, Olivia\"\ne11083,2013/03/26,late in the evening,5,Layla\ne11090,2013/03/27,in the early afternoon,28,Piper\ne11091,2013/03/27,late in the evening,24,Avery\ne11092,2013/03/27,in the late afternoon,44,\"Rylee, Hazel, Layla\"\ne11099,2013/03/28,in the morning,42,\"Claire, Piper, Hazel\"\ne11100,2013/03/28,in the late afternoon,34,\"Kinsley, Olivia, Eva, Piper\"\ne11101,2013/03/28,in the early evening,38,\"Layla, Piper, Piper, Rylee\"\ne11108,2013/03/29,during lunch hours,55,\"Claire, Lydia, Layla, Rylee\"\ne11109,2013/03/29,in the early evening,16,\"Claire, Nevaeh, Piper, Nora\"\ne11116,2013/03/30,in the morning,48,Eva\ne11117,2013/03/30,in the morning,21,Piper\ne11118,2013/03/30,in the early evening,11,\"Hazel, Layla\"\ne11124,2013/03/31,in the late afternoon,10,\"Rylee, Kinsley, Piper\"\ne11125,2013/03/31,during lunch hours,7,\"Rylee, Piper\"\ne11132,2013/04/01,in the late afternoon,37,\"Avery, Lydia\"\ne11133,2013/04/01,in the early afternoon,29,\"Avery, Nevaeh\"\ne11134,2013/04/01,in the early evening,34,\"Lydia, Piper\"\ne11140,2013/04/02,during lunch hours,54,\"Piper, Olivia, Rylee, Claire\"\ne11141,2013/04/02,in the early evening,51,\"Claire, Kinsley, Nora, Rylee\"\ne11142,2013/04/02,during lunch hours,22,Kinsley\ne11149,2013/04/03,in the early afternoon,21,\"Piper, Avery\"\ne11150,2013/04/03,during lunch hours,20,\"Claire, Rylee, Avery\"\ne11151,2013/04/03,during lunch hours,49,\"Olivia, Piper, Eva\"\ne11158,2013/04/04,in the early evening,42,\"Piper, Hazel, Layla, Lydia\"\ne11159,2013/04/04,late in the evening,31,Rylee\ne11160,2013/04/04,late in the evening,35,Lydia\ne11167,2013/04/05,in the early evening,51,\"Nora, Claire, Eva, Olivia\"\ne11168,2013/04/05,during lunch hours,36,\"Rylee, Claire, Nevaeh\"\ne11169,2013/04/05,in the morning,27,Olivia\ne11176,2013/04/06,in the morning,50,\"Rylee, Nora, Olivia, Hazel\"\ne11177,2013/04/06,in the early afternoon,34,Nevaeh\ne11178,2013/04/06,in the morning,27,\"Lydia, Kinsley, Rylee, Piper\"\ne11185,2013/04/07,in the early afternoon,20,\"Lydia, Avery, Claire\"\ne11192,2013/04/08,during lunch hours,9,\"Avery, Nevaeh\"\ne11193,2013/04/08,in the early evening,49,\"Hazel, Eva, Piper, Avery\"\ne11200,2013/04/09,in the early evening,12,Lydia\ne11201,2013/04/09,during lunch hours,28,Piper\ne11208,2013/04/10,in the early afternoon,37,\"Hazel, Piper\"\ne11209,2013/04/10,in the late afternoon,7,\"Avery, Claire, Piper, Hazel\"\ne11210,2013/04/10,in the early afternoon,52,\"Piper, Eva, Layla, Piper\"\ne11217,2013/04/11,in the late afternoon,33,Kinsley\ne11218,2013/04/11,in the morning,39,Piper\ne11219,2013/04/11,late in the evening,18,\"Kinsley, Layla, Lydia\"\ne11226,2013/04/12,late in the evening,29,\"Claire, Lydia, Hazel, Avery\"\ne11227,2013/04/12,late in the evening,20,\"Nevaeh, Avery, Olivia\"\ne11228,2013/04/12,in the early afternoon,35,\"Nevaeh, Rylee, Olivia, Piper\"\ne11229,2013/04/12,during lunch hours,9,Layla\ne11236,2013/04/13,in the late afternoon,23,\"Avery, Eva, Nora, Rylee\"\ne11237,2013/04/13,in the early evening,25,Nora\ne11238,2013/04/13,in the early evening,34,\"Rylee, Avery, Layla\"\ne11245,2013/04/14,in the early evening,40,Nevaeh\ne11246,2013/04/14,in the morning,51,\"Nevaeh, Piper\"\ne11253,2013/04/15,late in the evening,18,\"Piper, Eva, Avery\"\ne11254,2013/04/15,in the early evening,29,Lydia\ne11255,2013/04/15,in the early afternoon,43,\"Nora, Piper, Piper\"\ne11256,2013/04/15,in the early afternoon,5,\"Rylee, Kinsley\"\ne11263,2013/04/16,late in the evening,22,Olivia\ne11264,2013/04/16,during lunch hours,55,\"Claire, Layla, Piper\"\ne11265,2013/04/16,in the early evening,39,Layla\ne11272,2013/04/17,during lunch hours,48,\"Olivia, Nevaeh\"\ne11273,2013/04/17,in the late afternoon,48,\"Avery, Nevaeh, Nora, Eva\"\ne11274,2013/04/17,in the late afternoon,5,\"Lydia, Rylee, Nora\"\ne11281,2013/04/18,in the early evening,19,Kinsley\ne11282,2013/04/18,in the late afternoon,17,\"Piper, Rylee, Eva\"\ne11283,2013/04/18,in the late afternoon,55,Kinsley\ne11290,2013/04/19,in the morning,52,\"Hazel, Kinsley, Piper\"\ne11291,2013/04/19,in the morning,31,\"Olivia, Eva, Avery, Kinsley\"\ne11292,2013/04/19,late in the evening,45,\"Claire, Rylee, Hazel, Eva\"\ne11299,2013/04/20,in the late afternoon,9,\"Hazel, Rylee, Piper, Claire\"\ne11300,2013/04/20,late in the evening,30,\"Nevaeh, Rylee\"\ne11301,2013/04/20,in the early afternoon,55,Kinsley\ne11302,2013/04/20,in the morning,35,\"Eva, Layla, Rylee, Nora\"\ne11309,2013/04/21,late in the evening,25,\"Kinsley, Rylee, Avery, Eva\"\ne11310,2013/04/21,in the early evening,39,\"Lydia, Piper, Layla, Claire\"\ne11311,2013/04/21,in the morning,53,Nora\ne11312,2013/04/21,in the morning,9,Nevaeh\ne11319,2013/04/22,in the early afternoon,41,Olivia\ne11320,2013/04/22,during lunch hours,12,Kinsley\ne11321,2013/04/22,in the early evening,10,\"Claire, Rylee, Nevaeh\"\ne11328,2013/04/23,in the morning,29,Piper\ne11329,2013/04/23,in the early evening,7,\"Nora, Piper, Claire, Layla\"\ne11330,2013/04/23,in the early afternoon,25,\"Avery, Kinsley, Nora\"\ne11337,2013/04/24,in the early evening,10,\"Olivia, Claire\"\ne11338,2013/04/24,in the late afternoon,49,\"Rylee, Piper\"\ne11339,2013/04/24,in the early afternoon,54,\"Olivia, Hazel\"\ne11340,2013/04/24,in the early evening,8,Lydia\ne11346,2013/04/25,in the early afternoon,40,\"Piper, Eva, Hazel\"\ne11347,2013/04/25,in the early evening,34,\"Hazel, Piper\"\ne11354,2013/04/26,in the late afternoon,41,\"Hazel, Eva\"\ne11355,2013/04/26,in the late afternoon,43,\"Nevaeh, Lydia, Piper, Layla\"\ne11356,2013/04/26,in the morning,21,Piper\ne11363,2013/04/27,in the early evening,23,\"Lydia, Olivia\"\ne11364,2013/04/27,in the early afternoon,38,\"Lydia, Hazel\"\ne11371,2013/04/28,during lunch hours,43,\"Olivia, Nevaeh, Eva\"\ne11372,2013/04/28,late in the evening,20,Piper\ne11373,2013/04/28,in the morning,16,\"Nora, Avery, Piper\"\ne11380,2013/04/29,during lunch hours,55,Claire\ne11381,2013/04/29,in the early afternoon,38,\"Nora, Layla\"\ne11382,2013/04/29,in the early evening,53,\"Avery, Hazel, Nevaeh\"\ne11389,2013/04/30,in the early afternoon,54,\"Nora, Hazel\"\ne11390,2013/04/30,in the late afternoon,6,\"Eva, Claire, Nora\"\ne11397,2013/05/01,late in the evening,52,\"Claire, Layla, Avery\"\ne11398,2013/05/01,in the late afternoon,25,Hazel\ne11399,2013/05/01,late in the evening,48,\"Layla, Nevaeh, Rylee, Claire\"\ne11406,2013/05/02,in the early afternoon,44,Piper\ne11407,2013/05/02,in the late afternoon,20,Lydia\ne11408,2013/05/02,in the morning,20,\"Rylee, Piper, Hazel, Avery\"\ne11414,2013/05/03,during lunch hours,30,\"Piper, Hazel\"\ne11415,2013/05/03,in the early evening,6,\"Nora, Olivia, Eva\"\ne11416,2013/05/03,during lunch hours,21,Lydia\ne11422,2013/05/04,in the early evening,8,\"Piper, Rylee\"\ne11423,2013/05/04,in the late afternoon,23,Kinsley\ne11424,2013/05/04,in the early evening,5,\"Avery, Piper, Piper, Olivia\"\ne11430,2013/05/05,in the early afternoon,47,\"Nevaeh, Rylee, Layla, Piper\"\ne11431,2013/05/05,during lunch hours,39,Avery\ne11437,2013/05/06,during lunch hours,55,\"Olivia, Claire, Hazel, Lydia\"\ne11438,2013/05/06,late in the evening,31,\"Avery, Nora\"\ne11439,2013/05/06,in the early evening,24,Eva\ne11440,2013/05/06,in the early afternoon,39,\"Olivia, Hazel\"\ne11446,2013/05/07,in the late afternoon,49,Lydia\ne11447,2013/05/07,in the early evening,52,\"Rylee, Olivia, Avery\"\ne11448,2013/05/07,in the early evening,16,\"Olivia, Eva, Piper\"\ne11454,2013/05/08,in the morning,10,\"Eva, Olivia\"\ne11455,2013/05/08,in the morning,49,\"Hazel, Nora, Piper, Layla\"\ne11461,2013/05/09,in the late afternoon,32,\"Claire, Nora, Nevaeh, Layla\"\ne11462,2013/05/09,in the morning,8,\"Olivia, Eva\"\ne11468,2013/05/10,in the early afternoon,42,\"Layla, Nevaeh, Eva, Kinsley\"\ne11469,2013/05/10,in the early afternoon,52,\"Hazel, Layla, Avery\"\ne11475,2013/05/11,in the late afternoon,44,\"Hazel, Eva, Olivia\"\ne11476,2013/05/11,in the early evening,23,Lydia\ne11482,2013/05/12,during lunch hours,29,\"Claire, Piper, Olivia\"\ne11483,2013/05/12,in the late afternoon,53,\"Avery, Layla\"\ne11484,2013/05/12,in the late afternoon,18,\"Kinsley, Lydia, Piper\"\ne11490,2013/05/13,in the early afternoon,25,\"Eva, Kinsley, Avery, Lydia\"\ne11491,2013/05/13,in the early evening,46,Nevaeh\ne11492,2013/05/13,in the early afternoon,45,Eva\ne11499,2013/05/14,during lunch hours,18,\"Olivia, Hazel\"\ne11500,2013/05/14,late in the evening,39,Kinsley\ne11506,2013/05/15,during lunch hours,23,\"Nevaeh, Hazel, Lydia\"\ne11507,2013/05/15,in the early afternoon,9,\"Claire, Eva\"\ne11508,2013/05/15,in the late afternoon,28,\"Piper, Rylee\"\ne11514,2013/05/16,in the early afternoon,19,Piper\ne11515,2013/05/16,in the morning,24,\"Layla, Nora, Eva\"\ne11516,2013/05/16,in the morning,12,\"Piper, Kinsley, Claire, Eva\"\ne11522,2013/05/17,in the early afternoon,47,Eva\ne11523,2013/05/17,in the early evening,21,\"Rylee, Hazel, Nora, Eva\"\ne11529,2013/05/18,in the early evening,16,\"Nevaeh, Piper, Piper, Rylee\"\ne11530,2013/05/18,in the early afternoon,25,\"Claire, Olivia, Nora, Kinsley\"\ne11537,2013/05/19,during lunch hours,40,Piper\ne11538,2013/05/19,in the morning,38,\"Rylee, Avery\"\ne11539,2013/05/19,during lunch hours,23,Claire\ne11540,2013/05/19,late in the evening,38,Hazel\ne11547,2013/05/20,late in the evening,47,\"Hazel, Layla\"\ne11548,2013/05/20,in the early evening,31,\"Rylee, Nora, Claire\"\ne11549,2013/05/20,in the morning,39,Eva\ne11555,2013/05/21,during lunch hours,36,\"Rylee, Nevaeh\"\ne11556,2013/05/21,during lunch hours,48,\"Kinsley, Lydia\"\ne11557,2013/05/21,in the morning,17,\"Piper, Kinsley, Hazel, Avery\"\ne11564,2013/05/22,in the late afternoon,11,\"Nora, Eva, Avery, Nevaeh\"\ne11565,2013/05/22,in the early evening,21,\"Layla, Piper, Hazel, Kinsley\"\ne11566,2013/05/22,in the early afternoon,34,\"Layla, Claire, Kinsley\"\ne11573,2013/05/23,during lunch hours,47,\"Piper, Layla\"\ne11574,2013/05/23,in the early afternoon,13,\"Layla, Claire\"\ne11575,2013/05/23,late in the evening,8,\"Lydia, Claire, Kinsley\"\ne11576,2013/05/23,in the early afternoon,39,\"Kinsley, Avery\"\ne11583,2013/05/24,in the late afternoon,27,\"Lydia, Claire\"\ne11584,2013/05/24,during lunch hours,18,\"Olivia, Claire, Lydia, Nevaeh\"\ne11585,2013/05/24,during lunch hours,25,\"Nora, Hazel\"\ne11586,2013/05/24,in the early afternoon,22,\"Layla, Eva, Avery, Rylee\"\ne11593,2013/05/25,during lunch hours,17,\"Eva, Avery, Nevaeh, Nora\"\ne11594,2013/05/25,in the early afternoon,30,\"Claire, Lydia, Layla, Kinsley\"\ne11595,2013/05/25,during lunch hours,9,\"Kinsley, Rylee, Claire\"\ne11596,2013/05/25,late in the evening,52,\"Piper, Layla, Eva, Avery\"\ne11602,2013/05/26,in the morning,38,Olivia\ne11603,2013/05/26,in the late afternoon,19,Kinsley\ne11609,2013/05/27,during lunch hours,42,Eva\ne11610,2013/05/27,in the early evening,50,Nevaeh\ne11611,2013/05/27,in the morning,30,\"Olivia, Rylee, Eva\"\ne11618,2013/05/28,in the early afternoon,25,\"Hazel, Lydia, Kinsley\"\ne11619,2013/05/28,during lunch hours,42,\"Piper, Layla\"\ne11626,2013/05/29,during lunch hours,41,Lydia\ne11627,2013/05/29,late in the evening,12,Lydia\ne11628,2013/05/29,during lunch hours,8,\"Avery, Nora\"\ne11629,2013/05/29,in the morning,17,\"Lydia, Eva, Rylee, Avery\"\ne11636,2013/05/30,in the early afternoon,29,\"Nora, Piper\"\ne11637,2013/05/30,in the early evening,11,\"Layla, Eva, Hazel\"\ne11644,2013/05/31,in the early afternoon,38,Eva\ne11645,2013/05/31,in the morning,34,\"Hazel, Nevaeh, Piper\"\ne11652,2013/06/01,during lunch hours,28,\"Piper, Nora, Claire, Kinsley\"\ne11653,2013/06/01,late in the evening,46,\"Nora, Piper\"\ne11654,2013/06/01,in the late afternoon,17,\"Layla, Piper, Rylee\"\ne11655,2013/06/01,in the early afternoon,28,\"Piper, Avery, Olivia\"\ne11661,2013/06/02,in the late afternoon,43,\"Piper, Kinsley, Layla, Olivia\"\ne11662,2013/06/02,late in the evening,13,\"Hazel, Eva, Olivia\"\ne11663,2013/06/02,in the early evening,14,Avery\ne11669,2013/06/03,in the morning,27,Claire\ne11670,2013/06/03,in the late afternoon,53,\"Lydia, Rylee, Olivia, Kinsley\"\ne11671,2013/06/03,in the early evening,25,\"Avery, Eva, Rylee\"\ne11672,2013/06/03,late in the evening,39,\"Kinsley, Nora, Claire\"\ne11679,2013/06/04,late in the evening,28,\"Piper, Avery, Nora\"\ne11680,2013/06/04,in the morning,30,Piper\ne11687,2013/06/05,in the morning,43,\"Avery, Layla\"\ne11688,2013/06/05,in the late afternoon,47,\"Olivia, Claire, Piper, Nora\"\ne11689,2013/06/05,in the late afternoon,51,\"Avery, Rylee, Lydia, Nora\"\ne11696,2013/06/06,in the morning,36,\"Eva, Hazel, Nevaeh\"\ne11697,2013/06/06,late in the evening,52,\"Olivia, Eva, Avery\"\ne11698,2013/06/06,in the morning,17,\"Olivia, Rylee, Layla, Eva\"\ne11705,2013/06/07,in the early evening,46,\"Hazel, Avery\"\ne11706,2013/06/07,in the early evening,34,\"Nora, Piper, Nevaeh\"\ne11713,2013/06/08,late in the evening,31,Kinsley\ne11714,2013/06/08,late in the evening,5,\"Nora, Piper, Kinsley\"\ne11721,2013/06/09,in the morning,30,\"Olivia, Nevaeh, Piper\"\ne11722,2013/06/09,during lunch hours,15,Layla\ne11723,2013/06/09,during lunch hours,54,\"Rylee, Nevaeh, Eva, Olivia\"\ne11730,2013/06/10,late in the evening,53,Hazel\ne11731,2013/06/10,during lunch hours,30,\"Claire, Eva, Piper\"\ne11737,2013/06/11,in the morning,52,\"Nevaeh, Piper\"\ne11738,2013/06/11,in the morning,10,\"Kinsley, Claire, Hazel\"\ne11739,2013/06/11,late in the evening,12,Piper\ne11746,2013/06/12,in the early evening,12,\"Lydia, Rylee, Hazel\"\ne11747,2013/06/12,in the morning,45,\"Eva, Avery, Kinsley, Layla\"\ne11754,2013/06/13,in the early evening,54,\"Lydia, Olivia\"\ne11755,2013/06/13,during lunch hours,31,\"Hazel, Nevaeh\"\ne11756,2013/06/13,in the late afternoon,46,\"Rylee, Piper, Hazel\"\ne11757,2013/06/13,during lunch hours,14,\"Hazel, Claire, Piper\"\ne11764,2013/06/14,late in the evening,44,\"Kinsley, Eva, Hazel\"\ne11765,2013/06/14,late in the evening,55,\"Claire, Olivia, Rylee, Nora\"\ne11766,2013/06/14,in the late afternoon,53,\"Piper, Hazel, Eva, Nevaeh\"\ne11773,2013/06/15,in the early evening,19,\"Nora, Piper, Claire, Nevaeh\"\ne11774,2013/06/15,in the morning,37,\"Nevaeh, Olivia, Hazel\"\ne11775,2013/06/15,in the late afternoon,18,\"Claire, Eva\"\ne11782,2013/06/16,during lunch hours,45,Rylee\ne11783,2013/06/16,in the early afternoon,6,\"Kinsley, Piper\"\ne11790,2013/06/17,in the morning,13,\"Nora, Lydia\"\ne11791,2013/06/17,in the early afternoon,55,Olivia\ne11792,2013/06/17,in the late afternoon,38,Piper\ne11799,2013/06/18,in the early evening,43,\"Layla, Rylee, Nora, Claire\"\ne11800,2013/06/18,during lunch hours,16,\"Olivia, Piper, Nevaeh, Hazel\"\ne11801,2013/06/18,late in the evening,14,\"Lydia, Rylee\"\ne11807,2013/06/19,during lunch hours,5,Piper\ne11808,2013/06/19,during lunch hours,54,\"Nora, Eva, Avery\"\ne11814,2013/06/20,in the early afternoon,48,Olivia\ne11815,2013/06/20,in the late afternoon,45,\"Eva, Olivia, Hazel\"\ne11816,2013/06/20,during lunch hours,12,Rylee\ne11823,2013/06/21,in the early evening,28,\"Layla, Hazel, Lydia\"\ne11824,2013/06/21,in the early afternoon,26,\"Avery, Olivia\"\ne11831,2013/06/22,late in the evening,31,\"Nevaeh, Rylee, Nora\"\ne11832,2013/06/22,during lunch hours,33,\"Kinsley, Nora, Piper, Piper\"\ne11833,2013/06/22,in the late afternoon,38,\"Kinsley, Lydia, Layla\"\ne11834,2013/06/22,during lunch hours,18,\"Hazel, Kinsley, Rylee\"\ne11840,2013/06/23,in the late afternoon,29,Olivia\ne11841,2013/06/23,late in the evening,43,\"Claire, Rylee, Kinsley\"\ne11848,2013/06/24,during lunch hours,49,\"Nora, Nevaeh, Claire\"\ne11849,2013/06/24,during lunch hours,52,\"Layla, Hazel\"\ne11855,2013/06/25,during lunch hours,44,\"Nora, Olivia, Piper, Piper\"\ne11856,2013/06/25,in the morning,55,\"Claire, Lydia, Eva, Piper\"\ne11857,2013/06/25,in the early evening,9,\"Lydia, Hazel, Olivia\"\ne11858,2013/06/25,late in the evening,34,\"Claire, Kinsley, Nora\"\ne11865,2013/06/26,in the late afternoon,51,\"Lydia, Eva, Piper\"\ne11866,2013/06/26,in the late afternoon,27,Olivia\ne11867,2013/06/26,in the late afternoon,10,\"Hazel, Avery\"\ne11874,2013/06/27,in the late afternoon,7,\"Avery, Rylee\"\ne11875,2013/06/27,in the early evening,43,Olivia\ne11882,2013/06/28,in the early afternoon,42,\"Avery, Olivia, Hazel, Claire\"\ne11883,2013/06/28,late in the evening,6,Layla\ne11884,2013/06/28,in the late afternoon,40,Nora\ne11891,2013/06/29,in the early evening,54,\"Eva, Nevaeh\"\ne11892,2013/06/29,in the early evening,9,\"Piper, Eva\"\ne11893,2013/06/29,late in the evening,36,Lydia\ne11900,2013/06/30,in the late afternoon,11,\"Layla, Eva, Lydia, Kinsley\"\ne11901,2013/06/30,during lunch hours,41,Piper\ne11902,2013/06/30,in the early evening,8,\"Piper, Layla\"\ne11909,2013/07/01,in the early evening,52,\"Kinsley, Piper\"\ne11910,2013/07/01,in the morning,8,\"Layla, Hazel\"\ne11911,2013/07/01,late in the evening,34,\"Nora, Kinsley, Claire, Rylee\"\ne11912,2013/07/01,in the early afternoon,24,Piper\ne11918,2013/07/02,during lunch hours,32,\"Kinsley, Olivia\"\ne11919,2013/07/02,in the early afternoon,20,\"Kinsley, Layla, Hazel\"\ne11920,2013/07/02,in the early evening,18,Nora\ne11927,2013/07/03,in the morning,33,Eva\ne11928,2013/07/03,during lunch hours,25,\"Eva, Avery, Kinsley\"\ne11929,2013/07/03,in the early evening,43,\"Claire, Eva, Piper, Avery\"\ne11930,2013/07/03,in the early afternoon,33,\"Lydia, Nevaeh\"\ne11937,2013/07/04,during lunch hours,49,\"Eva, Hazel, Claire\"\ne11938,2013/07/04,in the late afternoon,14,\"Olivia, Avery, Claire\"\ne11945,2013/07/05,in the early afternoon,23,Piper\ne11946,2013/07/05,in the morning,42,\"Avery, Layla, Eva, Lydia\"\ne11953,2013/07/06,late in the evening,12,\"Hazel, Piper\"\ne11954,2013/07/06,during lunch hours,10,Nora\ne11955,2013/07/06,late in the evening,52,\"Nevaeh, Kinsley\"\ne11962,2013/07/07,during lunch hours,20,\"Hazel, Layla\"\ne11963,2013/07/07,in the early afternoon,31,Olivia\ne11964,2013/07/07,during lunch hours,20,\"Avery, Nevaeh, Nora, Piper\"\ne11971,2013/07/08,in the late afternoon,24,\"Rylee, Avery, Layla\"\ne11972,2013/07/08,during lunch hours,30,\"Avery, Piper, Olivia, Claire\"\ne11979,2013/07/09,in the early afternoon,10,\"Claire, Lydia\"\ne11980,2013/07/09,in the late afternoon,16,Eva\ne11981,2013/07/09,late in the evening,11,\"Lydia, Kinsley, Hazel, Nora\"\ne11982,2013/07/09,in the morning,52,Piper\ne11989,2013/07/10,late in the evening,8,\"Kinsley, Nevaeh, Piper, Hazel\"\ne11990,2013/07/10,in the early evening,50,Lydia\ne11991,2013/07/10,in the early afternoon,13,Avery\ne11992,2013/07/10,in the late afternoon,9,\"Rylee, Piper, Kinsley\"\ne11999,2013/07/11,during lunch hours,54,\"Piper, Lydia, Claire\"\ne12000,2013/07/11,late in the evening,10,\"Piper, Kinsley, Rylee, Nevaeh\"\ne12001,2013/07/11,late in the evening,45,Avery\ne12002,2013/07/11,in the early afternoon,10,Piper\ne12009,2013/07/12,in the late afternoon,37,\"Olivia, Nevaeh, Layla, Rylee\"\ne12010,2013/07/12,during lunch hours,7,Eva\ne12011,2013/07/12,in the early afternoon,6,\"Piper, Avery\"\ne12017,2013/07/13,in the early afternoon,12,\"Nevaeh, Hazel\"\ne12018,2013/07/13,late in the evening,26,\"Piper, Piper, Eva\"\ne12019,2013/07/13,late in the evening,54,Claire\ne12020,2013/07/13,late in the evening,27,\"Nora, Claire, Olivia, Rylee\"\ne12027,2013/07/14,in the late afternoon,7,Hazel\ne12034,2013/07/15,in the late afternoon,5,\"Kinsley, Claire, Piper, Eva\"\ne12041,2013/07/16,in the early afternoon,39,\"Rylee, Layla, Lydia, Kinsley\"\ne12042,2013/07/16,during lunch hours,41,Piper\ne12043,2013/07/16,in the early afternoon,30,Avery\ne12050,2013/07/17,late in the evening,30,Eva\ne12051,2013/07/17,during lunch hours,42,\"Nora, Olivia, Kinsley, Rylee\"\ne12052,2013/07/17,during lunch hours,35,\"Layla, Kinsley, Piper\"\ne12053,2013/07/17,in the morning,29,\"Eva, Piper, Rylee\"\ne12060,2013/07/18,in the late afternoon,17,Kinsley\ne12061,2013/07/18,in the morning,49,Kinsley\ne12062,2013/07/18,in the morning,32,Eva\ne12063,2013/07/18,in the early evening,25,\"Layla, Lydia, Claire, Hazel\"\ne12070,2013/07/19,during lunch hours,53,\"Nora, Hazel\"\ne12071,2013/07/19,during lunch hours,29,\"Avery, Nevaeh, Layla, Kinsley\"\ne12072,2013/07/19,during lunch hours,22,\"Rylee, Avery, Lydia\"\ne12079,2013/07/20,late in the evening,7,Piper\ne12080,2013/07/20,during lunch hours,18,\"Kinsley, Olivia\"\ne12087,2013/07/21,in the early evening,9,\"Lydia, Nora, Eva\"\ne12088,2013/07/21,in the late afternoon,14,\"Kinsley, Olivia, Eva, Piper\"\ne12095,2013/07/22,during lunch hours,36,\"Piper, Claire, Olivia\"\ne12096,2013/07/22,in the early afternoon,49,Avery\ne12103,2013/07/23,during lunch hours,53,\"Piper, Hazel, Layla, Rylee\"\ne12104,2013/07/23,during lunch hours,6,Layla\ne12105,2013/07/23,in the morning,31,\"Hazel, Nora, Lydia\"\ne12112,2013/07/24,in the early afternoon,38,\"Avery, Piper, Hazel\"\ne12113,2013/07/24,in the early afternoon,42,\"Piper, Kinsley, Lydia\"\ne12114,2013/07/24,in the late afternoon,38,\"Lydia, Rylee\"\ne12115,2013/07/24,in the early afternoon,48,Piper\ne12122,2013/07/25,in the early afternoon,43,Olivia\ne12123,2013/07/25,in the late afternoon,42,\"Claire, Eva, Layla, Kinsley\"\ne12124,2013/07/25,late in the evening,54,\"Nora, Nevaeh, Kinsley, Olivia\"\ne12125,2013/07/25,in the morning,53,\"Avery, Lydia\"\ne12132,2013/07/26,during lunch hours,40,\"Kinsley, Nevaeh\"\ne12133,2013/07/26,late in the evening,17,\"Piper, Piper, Olivia\"\ne12140,2013/07/27,in the morning,27,Piper\ne12141,2013/07/27,in the morning,15,\"Layla, Rylee, Olivia\"\ne12142,2013/07/27,in the early evening,24,Layla\ne12149,2013/07/28,during lunch hours,9,\"Hazel, Eva\"\ne12150,2013/07/28,late in the evening,45,\"Kinsley, Hazel, Piper, Eva\"\ne12151,2013/07/28,in the early afternoon,47,\"Rylee, Nora, Piper, Piper\"\ne12158,2013/07/29,in the morning,9,\"Kinsley, Nora, Rylee\"\ne12159,2013/07/29,during lunch hours,20,\"Eva, Piper, Lydia, Hazel\"\ne12160,2013/07/29,in the morning,12,\"Avery, Kinsley\"\ne12161,2013/07/29,in the early afternoon,7,\"Kinsley, Rylee, Piper\"\ne12168,2013/07/30,in the early evening,10,\"Nevaeh, Eva\"\ne12169,2013/07/30,in the morning,46,\"Lydia, Layla, Piper, Rylee\"\ne12176,2013/07/31,in the late afternoon,54,\"Olivia, Eva, Piper, Piper\"\ne12177,2013/07/31,in the early afternoon,45,Lydia\ne12178,2013/07/31,in the late afternoon,44,Nora\ne12185,2013/08/01,in the early afternoon,10,\"Avery, Lydia\"\ne12186,2013/08/01,late in the evening,37,\"Nora, Olivia, Hazel, Rylee\"\ne12187,2013/08/01,in the morning,11,\"Claire, Kinsley, Nora, Lydia\"\ne12188,2013/08/01,in the early evening,10,Layla\ne12195,2013/08/02,in the early afternoon,8,\"Rylee, Lydia, Claire\"\ne12196,2013/08/02,late in the evening,46,\"Avery, Piper\"\ne12197,2013/08/02,in the early afternoon,14,\"Lydia, Piper, Nevaeh, Piper\"\ne12204,2013/08/03,in the morning,34,Lydia\ne12205,2013/08/03,in the early evening,50,Rylee\ne12212,2013/08/04,in the early afternoon,5,\"Kinsley, Avery, Eva, Rylee\"\ne12213,2013/08/04,in the early afternoon,49,Layla\ne12220,2013/08/05,late in the evening,44,Nevaeh\ne12221,2013/08/05,in the late afternoon,33,\"Claire, Piper, Olivia\"\ne12222,2013/08/05,in the morning,21,Layla\ne12223,2013/08/05,in the early evening,22,\"Rylee, Claire, Avery, Olivia\"\ne12229,2013/08/06,in the late afternoon,34,\"Layla, Eva, Rylee\"\ne12230,2013/08/06,late in the evening,34,Kinsley\ne12237,2013/08/07,in the early afternoon,8,\"Rylee, Kinsley\"\ne12238,2013/08/07,in the early evening,47,Rylee\ne12239,2013/08/07,in the morning,17,\"Claire, Layla, Olivia\"\ne12246,2013/08/08,late in the evening,16,Piper\ne12247,2013/08/08,in the early evening,27,\"Eva, Hazel, Rylee\"\ne12254,2013/08/09,in the late afternoon,48,\"Nevaeh, Hazel, Piper\"\ne12255,2013/08/09,in the morning,27,Layla\ne12256,2013/08/09,in the morning,54,\"Nevaeh, Claire\"\ne12262,2013/08/10,during lunch hours,8,\"Nevaeh, Lydia, Piper\"\ne12263,2013/08/10,in the early afternoon,7,\"Nevaeh, Nora, Piper, Eva\"\ne12270,2013/08/11,during lunch hours,36,\"Rylee, Piper\"\ne12271,2013/08/11,in the early evening,22,\"Layla, Kinsley\"\ne12278,2013/08/12,in the morning,23,\"Claire, Olivia\"\ne12279,2013/08/12,in the early afternoon,35,\"Avery, Piper, Layla, Rylee\"\ne12280,2013/08/12,in the early evening,26,\"Nora, Layla, Nevaeh\"\ne12281,2013/08/12,late in the evening,38,\"Avery, Nora, Lydia, Piper\"\ne12288,2013/08/13,late in the evening,45,\"Layla, Olivia\"\ne12295,2013/08/14,in the early evening,44,\"Olivia, Eva, Layla\"\ne12296,2013/08/14,during lunch hours,7,Piper\ne12297,2013/08/14,in the late afternoon,35,Piper\ne12304,2013/08/15,in the early afternoon,27,\"Piper, Piper, Nora, Rylee\"\ne12305,2013/08/15,in the late afternoon,14,\"Piper, Eva, Nevaeh, Nora\"\ne12306,2013/08/15,in the morning,41,\"Piper, Eva, Nevaeh, Lydia\"\ne12312,2013/08/16,late in the evening,46,\"Kinsley, Eva\"\ne12313,2013/08/16,during lunch hours,15,Avery\ne12314,2013/08/16,in the morning,23,\"Rylee, Lydia\"\ne12321,2013/08/17,in the late afternoon,43,\"Olivia, Nora, Nevaeh\"\ne12322,2013/08/17,in the late afternoon,45,\"Claire, Avery, Olivia\"\ne12323,2013/08/17,late in the evening,12,\"Piper, Layla, Olivia\"\ne12330,2013/08/18,in the morning,36,\"Rylee, Eva, Layla\"\ne12331,2013/08/18,in the morning,49,\"Layla, Rylee\"\ne12332,2013/08/18,during lunch hours,25,\"Nora, Nevaeh\"\ne12333,2013/08/18,in the early evening,31,\"Eva, Olivia\"\ne12339,2013/08/19,in the morning,11,Avery\ne12340,2013/08/19,in the morning,45,\"Nora, Claire\"\ne12341,2013/08/19,in the morning,41,\"Olivia, Hazel, Nora, Lydia\"\ne12347,2013/08/20,in the early afternoon,16,\"Olivia, Nora\"\ne12348,2013/08/20,in the late afternoon,27,\"Avery, Kinsley, Lydia, Piper\"\ne12355,2013/08/21,in the late afternoon,11,\"Olivia, Nevaeh, Nora, Kinsley\"\ne12356,2013/08/21,during lunch hours,35,\"Kinsley, Lydia\"\ne12357,2013/08/21,late in the evening,6,Eva\ne12364,2013/08/22,in the early evening,48,\"Olivia, Lydia, Nevaeh, Kinsley\"\ne12365,2013/08/22,during lunch hours,21,Rylee\ne12372,2013/08/23,late in the evening,51,\"Kinsley, Layla\"\ne12373,2013/08/23,in the early afternoon,33,\"Kinsley, Olivia, Piper, Nevaeh\"\ne12374,2013/08/23,in the late afternoon,36,\"Piper, Eva, Piper\"\ne12381,2013/08/24,in the morning,13,\"Lydia, Hazel, Layla\"\ne12382,2013/08/24,in the early evening,14,\"Eva, Kinsley, Piper, Nevaeh\"\ne12389,2013/08/25,in the early afternoon,43,Eva\ne12390,2013/08/25,in the morning,51,Layla\ne12391,2013/08/25,in the early evening,34,\"Piper, Nora, Claire, Hazel\"\ne12398,2013/08/26,during lunch hours,17,\"Nora, Olivia\"\ne12399,2013/08/26,in the early evening,27,\"Avery, Nora\"\ne12406,2013/08/27,in the early afternoon,16,\"Layla, Avery\"\ne12407,2013/08/27,during lunch hours,34,\"Piper, Avery, Kinsley, Eva\"\ne12414,2013/08/28,in the late afternoon,53,Piper\ne12415,2013/08/28,in the morning,55,\"Rylee, Hazel\"\ne12416,2013/08/28,in the morning,20,\"Hazel, Eva, Lydia, Olivia\"\ne12423,2013/08/29,in the late afternoon,28,\"Kinsley, Eva, Claire\"\ne12424,2013/08/29,in the morning,21,\"Piper, Eva\"\ne12425,2013/08/29,in the morning,17,\"Claire, Nora, Nevaeh\"\ne12432,2013/08/30,in the early evening,44,Avery\ne12433,2013/08/30,in the late afternoon,43,\"Olivia, Lydia, Kinsley\"\ne12434,2013/08/30,in the morning,17,Eva\ne12435,2013/08/30,late in the evening,25,\"Claire, Avery\"\ne12442,2013/08/31,late in the evening,50,\"Layla, Lydia, Piper\"\ne12443,2013/08/31,in the morning,43,\"Nevaeh, Nora, Kinsley, Piper\"\ne12449,2013/09/01,in the late afternoon,39,\"Nevaeh, Hazel\"\ne12450,2013/09/01,late in the evening,29,\"Rylee, Layla, Piper, Lydia\"\ne12451,2013/09/01,in the morning,48,\"Lydia, Piper, Olivia, Kinsley\"\ne12458,2013/09/02,in the early afternoon,9,\"Piper, Nevaeh, Olivia, Claire\"\ne12459,2013/09/02,in the late afternoon,20,\"Nevaeh, Piper, Rylee, Eva\"\ne12460,2013/09/02,late in the evening,51,\"Nora, Piper\"\ne12467,2013/09/03,in the early afternoon,38,\"Hazel, Lydia, Olivia\"\ne12468,2013/09/03,during lunch hours,46,Piper\ne12469,2013/09/03,during lunch hours,46,Rylee\ne12476,2013/09/04,in the early afternoon,26,\"Nora, Rylee, Hazel, Layla\"\ne12477,2013/09/04,in the morning,47,\"Claire, Eva, Piper\"\ne12478,2013/09/04,in the early evening,37,\"Layla, Hazel, Claire\"\ne12479,2013/09/04,in the early evening,37,\"Nora, Rylee, Nevaeh\"\ne12486,2013/09/05,in the late afternoon,7,\"Avery, Olivia, Hazel, Eva\"\ne12487,2013/09/05,late in the evening,31,\"Layla, Avery, Nevaeh, Hazel\"\ne12488,2013/09/05,in the early afternoon,38,Layla\ne12495,2013/09/06,in the morning,14,\"Olivia, Eva, Piper, Claire\"\ne12496,2013/09/06,during lunch hours,8,\"Rylee, Claire, Piper\"\ne12497,2013/09/06,in the early afternoon,21,\"Nevaeh, Olivia, Avery, Piper\"\ne12498,2013/09/06,in the late afternoon,30,\"Layla, Nora\"\ne12505,2013/09/07,in the early afternoon,10,\"Rylee, Piper\"\ne12506,2013/09/07,in the early afternoon,10,\"Olivia, Layla, Claire, Avery\"\ne12513,2013/09/08,in the late afternoon,31,Olivia\ne12514,2013/09/08,in the morning,26,\"Kinsley, Avery\"\ne12515,2013/09/08,in the early afternoon,55,\"Rylee, Olivia, Piper, Eva\"\ne12522,2013/09/09,during lunch hours,53,Avery\ne12523,2013/09/09,in the early afternoon,17,\"Avery, Nevaeh\"\ne12524,2013/09/09,late in the evening,29,\"Claire, Rylee, Nora\"\ne12525,2013/09/09,during lunch hours,55,Nora\ne12532,2013/09/10,in the early evening,51,\"Kinsley, Piper, Nevaeh\"\ne12539,2013/09/11,in the early evening,55,\"Piper, Kinsley, Eva\"\ne12540,2013/09/11,in the late afternoon,9,Nora\ne12547,2013/09/12,in the late afternoon,14,\"Rylee, Nevaeh, Olivia, Layla\"\ne12548,2013/09/12,in the early afternoon,38,\"Rylee, Olivia\"\ne12555,2013/09/13,in the early evening,47,\"Claire, Rylee\"\ne12556,2013/09/13,in the early evening,46,Nora\ne12557,2013/09/13,late in the evening,26,\"Layla, Kinsley\"\ne12564,2013/09/14,in the late afternoon,41,\"Olivia, Lydia\"\ne12565,2013/09/14,in the early afternoon,33,Lydia\ne12572,2013/09/15,in the early evening,32,\"Claire, Layla, Hazel, Olivia\"\ne12573,2013/09/15,in the early evening,37,\"Hazel, Piper, Rylee\"\ne12574,2013/09/15,late in the evening,43,\"Nora, Layla, Piper, Eva\"\ne12581,2013/09/16,in the morning,10,\"Avery, Hazel, Nora, Olivia\"\ne12588,2013/09/17,during lunch hours,16,\"Lydia, Claire, Layla, Piper\"\ne12589,2013/09/17,late in the evening,53,\"Nevaeh, Hazel\"\ne12590,2013/09/17,during lunch hours,20,\"Rylee, Kinsley, Piper, Eva\"\ne12596,2013/09/18,in the late afternoon,15,\"Lydia, Layla, Rylee\"\ne12597,2013/09/18,in the late afternoon,38,\"Eva, Rylee, Nevaeh\"\ne12598,2013/09/18,during lunch hours,37,\"Lydia, Piper\"\ne12605,2013/09/19,in the early afternoon,6,\"Avery, Piper\"\ne12606,2013/09/19,late in the evening,53,\"Piper, Claire, Avery, Rylee\"\ne12607,2013/09/19,in the late afternoon,26,Piper\ne12614,2013/09/20,in the early afternoon,19,\"Eva, Nora, Lydia\"\ne12615,2013/09/20,in the late afternoon,39,\"Piper, Olivia\"\ne12616,2013/09/20,in the morning,40,\"Piper, Kinsley, Hazel\"\ne12617,2013/09/20,in the late afternoon,45,\"Kinsley, Hazel\"\ne12624,2013/09/21,in the late afternoon,20,\"Olivia, Avery\"\ne12625,2013/09/21,in the morning,38,\"Eva, Lydia, Nora, Layla\"\ne12626,2013/09/21,in the morning,17,\"Rylee, Claire, Lydia, Kinsley\"\ne12633,2013/09/22,in the early afternoon,27,\"Eva, Lydia, Piper, Claire\"\ne12634,2013/09/22,in the early afternoon,51,\"Layla, Hazel, Olivia\"\ne12641,2013/09/23,in the morning,8,\"Eva, Nevaeh\"\ne12642,2013/09/23,during lunch hours,34,\"Claire, Hazel\"\ne12643,2013/09/23,late in the evening,47,\"Piper, Lydia\"\ne12650,2013/09/24,in the early evening,12,\"Kinsley, Piper\"\ne12651,2013/09/24,late in the evening,47,\"Lydia, Nora, Layla\"\ne12658,2013/09/25,during lunch hours,18,\"Piper, Layla\"\ne12659,2013/09/25,in the early evening,16,Kinsley\ne12660,2013/09/25,in the late afternoon,7,\"Rylee, Claire, Layla, Piper\"\ne12667,2013/09/26,during lunch hours,43,\"Nevaeh, Piper, Nora, Claire\"\ne12668,2013/09/26,in the morning,47,\"Piper, Claire, Layla, Olivia\"\ne12675,2013/09/27,late in the evening,41,\"Rylee, Avery, Nora, Nevaeh\"\ne12676,2013/09/27,in the late afternoon,10,\"Hazel, Avery\"\ne12683,2013/09/28,during lunch hours,52,\"Nevaeh, Claire\"\ne12684,2013/09/28,in the morning,24,\"Claire, Nevaeh\"\ne12685,2013/09/28,late in the evening,7,Nora\ne12692,2013/09/29,during lunch hours,38,Eva\ne12693,2013/09/29,in the morning,24,\"Lydia, Olivia, Nora, Avery\"\ne12694,2013/09/29,in the early evening,15,\"Eva, Kinsley\"\ne12701,2013/09/30,in the early afternoon,34,Olivia\ne12702,2013/09/30,in the early evening,26,\"Piper, Lydia\"\ne12703,2013/09/30,in the morning,36,\"Olivia, Lydia, Avery\"\ne12710,2013/10/01,during lunch hours,51,\"Nora, Hazel, Rylee, Nevaeh\"\ne12711,2013/10/01,in the early evening,23,\"Layla, Claire\"\ne12712,2013/10/01,in the early evening,18,Eva\ne12719,2013/10/02,in the early afternoon,35,\"Nora, Nevaeh, Piper\"\ne12720,2013/10/02,during lunch hours,12,\"Claire, Eva, Nora, Piper\"\ne12721,2013/10/02,late in the evening,26,\"Eva, Nora, Layla\"\ne12728,2013/10/03,during lunch hours,33,\"Claire, Rylee, Eva, Layla\"\ne12729,2013/10/03,during lunch hours,47,\"Piper, Olivia, Nevaeh\"\ne12730,2013/10/03,in the late afternoon,43,\"Nevaeh, Piper, Avery\"\ne12731,2013/10/03,during lunch hours,43,\"Hazel, Lydia, Piper\"\ne12738,2013/10/04,in the morning,34,\"Eva, Lydia, Olivia\"\ne12739,2013/10/04,late in the evening,21,\"Piper, Eva, Piper\"\ne12740,2013/10/04,in the late afternoon,5,Piper\ne12747,2013/10/05,in the late afternoon,13,\"Kinsley, Nevaeh\"\ne12748,2013/10/05,in the early afternoon,29,Avery\ne12749,2013/10/05,in the early evening,28,\"Piper, Nevaeh\"\ne12750,2013/10/05,during lunch hours,26,\"Rylee, Layla, Avery, Eva\"\ne12757,2013/10/06,during lunch hours,30,Rylee\ne12758,2013/10/06,in the late afternoon,17,\"Hazel, Nevaeh\"\ne12759,2013/10/06,in the late afternoon,46,Lydia\ne12766,2013/10/07,in the late afternoon,17,\"Olivia, Claire\"\ne12767,2013/10/07,during lunch hours,47,\"Olivia, Piper, Lydia\"\ne12773,2013/10/08,in the late afternoon,30,\"Nora, Piper\"\ne12774,2013/10/08,in the early evening,18,\"Kinsley, Eva, Avery\"\ne12775,2013/10/08,in the late afternoon,12,\"Rylee, Nora, Olivia, Claire\"\ne12782,2013/10/09,during lunch hours,18,\"Hazel, Claire\"\ne12783,2013/10/09,late in the evening,41,\"Hazel, Nevaeh, Eva, Avery\"\ne12784,2013/10/09,in the late afternoon,13,Nevaeh\ne12790,2013/10/10,in the late afternoon,8,\"Nevaeh, Claire\"\ne12791,2013/10/10,in the late afternoon,24,Eva\ne12792,2013/10/10,in the late afternoon,55,\"Hazel, Olivia, Eva\"\ne12799,2013/10/11,in the late afternoon,40,\"Kinsley, Lydia, Avery, Layla\"\ne12800,2013/10/11,late in the evening,17,Nevaeh\ne12807,2013/10/12,in the morning,18,\"Claire, Piper, Olivia\"\ne12814,2013/10/13,late in the evening,47,\"Rylee, Eva\"\ne12815,2013/10/13,in the late afternoon,24,\"Nevaeh, Eva, Hazel\"\ne12822,2013/10/14,in the early afternoon,15,\"Avery, Kinsley, Layla, Nora\"\ne12823,2013/10/14,during lunch hours,47,\"Nevaeh, Lydia\"\ne12824,2013/10/14,in the late afternoon,32,Rylee\ne12825,2013/10/14,in the late afternoon,27,\"Rylee, Eva, Lydia\"\ne12832,2013/10/15,in the early evening,37,\"Olivia, Nevaeh\"\ne12833,2013/10/15,in the early afternoon,48,Claire\ne12834,2013/10/15,in the morning,26,\"Rylee, Nora, Piper, Nevaeh\"\ne12841,2013/10/16,in the early afternoon,31,\"Rylee, Hazel, Avery, Claire\"\ne12842,2013/10/16,during lunch hours,24,\"Nevaeh, Piper\"\ne12843,2013/10/16,late in the evening,32,\"Lydia, Piper\"\ne12849,2013/10/17,in the late afternoon,39,\"Piper, Layla, Hazel\"\ne12850,2013/10/17,in the late afternoon,6,Olivia\ne12857,2013/10/18,in the morning,34,\"Layla, Olivia, Rylee, Lydia\"\ne12858,2013/10/18,during lunch hours,37,\"Kinsley, Nevaeh, Rylee\"\ne12859,2013/10/18,during lunch hours,33,\"Hazel, Nevaeh, Lydia\"\ne12865,2013/10/19,in the early afternoon,42,\"Piper, Hazel\"\ne12866,2013/10/19,during lunch hours,6,\"Kinsley, Lydia\"\ne12867,2013/10/19,in the early evening,30,\"Claire, Olivia, Rylee\"\ne12874,2013/10/20,in the late afternoon,37,\"Claire, Kinsley\"\ne12875,2013/10/20,in the late afternoon,13,\"Eva, Nora\"\ne12876,2013/10/20,during lunch hours,28,\"Kinsley, Avery, Piper\"\ne12883,2013/10/21,in the morning,7,\"Eva, Olivia, Hazel, Piper\"\ne12884,2013/10/21,in the late afternoon,51,\"Olivia, Hazel, Avery\"\ne12885,2013/10/21,during lunch hours,40,Claire\ne12892,2013/10/22,in the late afternoon,42,\"Piper, Avery, Claire\"\ne12893,2013/10/22,in the morning,45,\"Avery, Piper, Eva, Nevaeh\"\ne12894,2013/10/22,during lunch hours,21,Hazel\ne12901,2013/10/23,in the early afternoon,37,\"Nora, Nevaeh, Claire\"\ne12902,2013/10/23,in the late afternoon,29,\"Hazel, Layla, Claire, Nevaeh\"\ne12909,2013/10/24,late in the evening,24,\"Claire, Hazel\"\ne12910,2013/10/24,in the late afternoon,10,\"Nora, Nevaeh, Piper, Lydia\"\ne12911,2013/10/24,late in the evening,45,\"Nevaeh, Piper, Piper\"\ne12918,2013/10/25,in the late afternoon,21,\"Hazel, Piper\"\ne12919,2013/10/25,in the early afternoon,37,\"Piper, Claire, Eva, Nevaeh\"\ne12920,2013/10/25,late in the evening,55,\"Rylee, Avery, Layla\"\ne12927,2013/10/26,in the morning,26,Claire\ne12928,2013/10/26,late in the evening,51,Piper\ne12929,2013/10/26,in the morning,15,\"Layla, Avery\"\ne12936,2013/10/27,late in the evening,32,\"Piper, Olivia, Hazel, Layla\"\ne12937,2013/10/27,during lunch hours,45,\"Piper, Avery, Claire, Rylee\"\ne12944,2013/10/28,in the early afternoon,20,\"Lydia, Nevaeh, Hazel, Piper\"\ne12945,2013/10/28,during lunch hours,26,\"Olivia, Eva, Lydia, Nevaeh\"\ne12946,2013/10/28,in the late afternoon,35,\"Piper, Lydia\"\ne12953,2013/10/29,in the early evening,48,\"Kinsley, Piper\"\ne12954,2013/10/29,late in the evening,43,\"Rylee, Eva, Hazel\"\ne12961,2013/10/30,in the early evening,43,Avery\ne12962,2013/10/30,in the early afternoon,7,Piper\ne12963,2013/10/30,late in the evening,46,\"Claire, Layla, Piper, Avery\"\ne12970,2013/10/31,late in the evening,50,Eva\ne12971,2013/10/31,late in the evening,33,Nevaeh\ne12972,2013/10/31,during lunch hours,14,\"Nevaeh, Claire\"\ne12979,2013/11/01,in the morning,28,\"Olivia, Nora, Kinsley, Rylee\"\ne12980,2013/11/01,in the morning,49,\"Claire, Piper, Nora\"\ne12987,2013/11/02,in the early afternoon,54,\"Hazel, Claire, Eva, Nora\"\ne12988,2013/11/02,in the early afternoon,45,Piper\ne12995,2013/11/03,late in the evening,31,Kinsley\ne12996,2013/11/03,in the morning,14,\"Claire, Nevaeh, Rylee\"\ne13002,2013/11/04,in the late afternoon,38,Piper\ne13003,2013/11/04,late in the evening,9,\"Layla, Piper, Olivia, Lydia\"\ne13004,2013/11/04,in the late afternoon,41,\"Nora, Eva, Kinsley\"\ne13005,2013/11/04,in the morning,37,\"Claire, Olivia\"\ne13012,2013/11/05,in the early evening,7,\"Nevaeh, Piper, Kinsley, Hazel\"\ne13013,2013/11/05,in the late afternoon,16,\"Layla, Lydia, Piper\"\ne13020,2013/11/06,in the early evening,51,\"Rylee, Eva\"\ne13021,2013/11/06,in the late afternoon,6,\"Kinsley, Piper, Eva, Rylee\"\ne13022,2013/11/06,in the late afternoon,27,\"Olivia, Nevaeh, Nora, Piper\"\ne13029,2013/11/07,late in the evening,52,Lydia\ne13030,2013/11/07,in the morning,11,\"Kinsley, Layla, Piper, Rylee\"\ne13037,2013/11/08,in the early evening,42,\"Layla, Eva, Hazel, Rylee\"\ne13038,2013/11/08,in the late afternoon,47,\"Kinsley, Rylee, Hazel\"\ne13039,2013/11/08,in the early evening,10,Piper\ne13046,2013/11/09,in the early afternoon,22,\"Nevaeh, Lydia, Olivia\"\ne13047,2013/11/09,in the early evening,26,\"Claire, Olivia, Lydia\"\ne13048,2013/11/09,in the late afternoon,38,\"Eva, Claire\"\ne13049,2013/11/09,in the late afternoon,22,Piper\ne13056,2013/11/10,in the morning,51,Layla\ne13057,2013/11/10,in the early evening,43,\"Eva, Lydia, Piper\"\ne13058,2013/11/10,in the early evening,38,\"Avery, Eva, Lydia, Claire\"\ne13065,2013/11/11,in the early afternoon,21,\"Layla, Rylee, Kinsley\"\ne13066,2013/11/11,late in the evening,35,\"Rylee, Olivia, Piper, Hazel\"\ne13067,2013/11/11,in the late afternoon,15,\"Piper, Nora\"\ne13074,2013/11/12,during lunch hours,48,Eva\ne13075,2013/11/12,late in the evening,54,\"Eva, Lydia\"\ne13076,2013/11/12,in the late afternoon,24,\"Piper, Olivia, Layla\"\ne13082,2013/11/13,during lunch hours,45,Kinsley\ne13083,2013/11/13,in the early afternoon,41,Piper\ne13084,2013/11/13,during lunch hours,41,\"Olivia, Piper, Avery\"\ne13091,2013/11/14,in the late afternoon,22,Olivia\ne13092,2013/11/14,in the early afternoon,38,\"Kinsley, Nevaeh\"\ne13093,2013/11/14,during lunch hours,40,\"Hazel, Kinsley\"\ne13100,2013/11/15,late in the evening,55,\"Piper, Lydia, Olivia\"\ne13101,2013/11/15,during lunch hours,45,\"Rylee, Eva\"\ne13102,2013/11/15,late in the evening,10,\"Piper, Nevaeh\"\ne13109,2013/11/16,late in the evening,29,Rylee\ne13110,2013/11/16,in the early evening,55,Piper\ne13111,2013/11/16,late in the evening,55,\"Avery, Piper\"\ne13118,2013/11/17,in the early evening,54,Layla\ne13119,2013/11/17,in the late afternoon,19,\"Eva, Nevaeh, Layla\"\ne13120,2013/11/17,in the late afternoon,54,\"Piper, Eva, Kinsley\"\ne13127,2013/11/18,in the early evening,5,\"Avery, Piper, Claire, Rylee\"\ne13128,2013/11/18,in the early evening,38,\"Hazel, Claire, Nora, Olivia\"\ne13129,2013/11/18,in the early evening,32,\"Nora, Hazel, Lydia, Piper\"\ne13136,2013/11/19,during lunch hours,49,\"Piper, Layla, Kinsley, Nora\"\ne13137,2013/11/19,late in the evening,35,\"Piper, Piper\"\ne13138,2013/11/19,during lunch hours,40,\"Piper, Hazel, Nevaeh\"\ne13144,2013/11/20,in the late afternoon,51,Kinsley\ne13145,2013/11/20,in the early evening,10,\"Nora, Olivia, Rylee, Eva\"\ne13152,2013/11/21,in the early afternoon,15,\"Eva, Rylee, Avery, Claire\"\ne13153,2013/11/21,late in the evening,12,\"Piper, Olivia, Kinsley, Lydia\"\ne13154,2013/11/21,in the early evening,28,\"Claire, Layla, Lydia\"\ne13161,2013/11/22,in the early evening,5,\"Hazel, Lydia, Piper\"\ne13162,2013/11/22,during lunch hours,48,Piper\ne13163,2013/11/22,during lunch hours,41,Nevaeh\ne13170,2013/11/23,late in the evening,54,\"Hazel, Eva, Olivia, Layla\"\ne13171,2013/11/23,during lunch hours,20,\"Eva, Kinsley\"\ne13172,2013/11/23,in the late afternoon,16,\"Olivia, Piper, Nevaeh\"\ne13173,2013/11/23,during lunch hours,46,\"Piper, Piper, Olivia\"\ne13180,2013/11/24,in the early afternoon,14,Piper\ne13181,2013/11/24,in the morning,23,\"Piper, Piper, Hazel\"\ne13182,2013/11/24,late in the evening,24,Hazel\ne13189,2013/11/25,in the early afternoon,8,\"Eva, Kinsley\"\ne13196,2013/11/26,in the morning,33,\"Olivia, Piper\"\ne13197,2013/11/26,during lunch hours,26,\"Lydia, Nevaeh, Hazel\"\ne13204,2013/11/27,late in the evening,46,Eva\ne13205,2013/11/27,in the early afternoon,33,\"Kinsley, Piper\"\ne13206,2013/11/27,late in the evening,16,\"Nora, Piper, Lydia\"\ne13213,2013/11/28,in the morning,7,\"Olivia, Kinsley, Lydia\"\ne13220,2013/11/29,late in the evening,44,Nevaeh\ne13227,2013/11/30,in the early afternoon,31,\"Eva, Piper, Hazel\"\ne13228,2013/11/30,in the morning,34,Nora\ne13229,2013/11/30,in the morning,24,\"Piper, Nora, Lydia, Eva\"\ne13236,2013/12/01,during lunch hours,15,Piper\ne13237,2013/12/01,in the late afternoon,6,Rylee\ne13244,2013/12/02,late in the evening,39,Layla\ne13251,2013/12/03,in the early afternoon,31,\"Olivia, Claire, Piper, Rylee\"\ne13252,2013/12/03,in the early evening,20,\"Claire, Hazel, Kinsley, Piper\"\ne13253,2013/12/03,in the early afternoon,6,Claire\ne13254,2013/12/03,in the morning,32,\"Nevaeh, Avery, Layla, Eva\"\ne13261,2013/12/04,in the early afternoon,42,\"Avery, Kinsley, Lydia\"\ne13262,2013/12/04,in the late afternoon,49,\"Nevaeh, Lydia, Claire\"\ne13269,2013/12/05,in the early evening,36,\"Eva, Nevaeh, Lydia\"\ne13270,2013/12/05,in the early evening,24,Piper\ne13277,2013/12/06,in the late afternoon,14,\"Layla, Hazel, Nevaeh, Piper\"\ne13278,2013/12/06,during lunch hours,45,\"Claire, Rylee, Kinsley\"\ne13284,2013/12/07,during lunch hours,19,\"Nora, Eva, Piper, Rylee\"\ne13285,2013/12/07,in the early afternoon,53,\"Avery, Hazel\"\ne13286,2013/12/07,in the late afternoon,5,\"Avery, Kinsley\"\ne13287,2013/12/07,in the early evening,43,\"Lydia, Nora, Piper\"\ne13294,2013/12/08,late in the evening,43,\"Lydia, Layla\"\ne13295,2013/12/08,in the late afternoon,37,Claire\ne13302,2013/12/09,late in the evening,23,\"Layla, Lydia, Avery, Kinsley\"\ne13303,2013/12/09,in the early evening,38,\"Hazel, Eva, Kinsley, Piper\"\ne13310,2013/12/10,in the morning,36,\"Layla, Nora\"\ne13311,2013/12/10,in the early afternoon,26,\"Nevaeh, Hazel, Nora\"\ne13318,2013/12/11,in the morning,41,\"Lydia, Layla, Olivia, Nevaeh\"\ne13319,2013/12/11,during lunch hours,36,Piper\ne13320,2013/12/11,during lunch hours,20,\"Piper, Piper\"\ne13327,2013/12/12,in the late afternoon,9,Eva\ne13328,2013/12/12,in the morning,8,\"Layla, Piper, Nora, Nevaeh\"\ne13329,2013/12/12,in the early afternoon,9,Kinsley\ne13336,2013/12/13,during lunch hours,9,\"Olivia, Piper, Kinsley\"\ne13337,2013/12/13,in the early evening,50,\"Claire, Piper, Rylee, Layla\"\ne13338,2013/12/13,in the early afternoon,30,\"Layla, Kinsley, Olivia\"\ne13339,2013/12/13,during lunch hours,47,\"Piper, Kinsley, Hazel, Olivia\"\ne13345,2013/12/14,late in the evening,47,\"Layla, Lydia\"\ne13346,2013/12/14,in the early evening,17,\"Avery, Nora\"\ne13353,2013/12/15,in the morning,30,\"Olivia, Kinsley, Rylee, Eva\"\ne13354,2013/12/15,in the early afternoon,8,\"Layla, Nora, Hazel, Piper\"\ne13361,2013/12/16,during lunch hours,55,Eva\ne13362,2013/12/16,in the early afternoon,21,\"Eva, Nevaeh, Rylee, Kinsley\"\ne13363,2013/12/16,late in the evening,22,Rylee\ne13370,2013/12/17,in the late afternoon,26,\"Eva, Piper\"\ne13371,2013/12/17,in the morning,44,\"Nevaeh, Avery, Piper, Kinsley\"\ne13372,2013/12/17,in the early afternoon,43,\"Olivia, Piper\"\ne13373,2013/12/17,during lunch hours,16,\"Layla, Nevaeh\"\ne13380,2013/12/18,in the early evening,34,\"Hazel, Layla, Olivia\"\ne13381,2013/12/18,during lunch hours,30,Eva\ne13388,2013/12/19,during lunch hours,27,\"Nora, Lydia, Claire\"\ne13389,2013/12/19,in the late afternoon,33,\"Avery, Eva, Piper\"\ne13396,2013/12/20,during lunch hours,46,Nora\ne13397,2013/12/20,in the late afternoon,8,\"Layla, Kinsley, Avery, Piper\"\ne13398,2013/12/20,late in the evening,38,\"Olivia, Nora\"\ne13404,2013/12/21,late in the evening,37,\"Rylee, Hazel, Lydia, Eva\"\ne13405,2013/12/21,in the early afternoon,19,\"Kinsley, Avery, Hazel\"\ne13412,2013/12/22,late in the evening,29,Nevaeh\ne13413,2013/12/22,in the morning,38,\"Nevaeh, Hazel\"\ne13420,2013/12/23,in the morning,20,\"Layla, Piper, Eva\"\ne13427,2013/12/24,in the early evening,46,\"Avery, Nora, Claire\"\ne13428,2013/12/24,during lunch hours,32,\"Lydia, Nevaeh, Avery\"\ne13429,2013/12/24,in the early evening,24,\"Eva, Avery, Hazel, Claire\"\ne13430,2013/12/24,in the morning,52,\"Hazel, Lydia\"\ne13437,2013/12/25,during lunch hours,19,\"Avery, Rylee\"\ne13438,2013/12/25,during lunch hours,29,\"Kinsley, Hazel, Nevaeh, Piper\"\ne13445,2013/12/26,in the late afternoon,49,\"Piper, Eva\"\ne13446,2013/12/26,in the early evening,49,\"Avery, Nevaeh\"\ne13452,2013/12/27,in the late afternoon,52,\"Rylee, Kinsley, Olivia, Claire\"\ne13453,2013/12/27,during lunch hours,47,\"Lydia, Eva, Piper\"\ne13454,2013/12/27,in the early afternoon,19,Nora\ne13461,2013/12/28,in the early afternoon,48,Piper\ne13462,2013/12/28,in the late afternoon,50,Olivia\ne13463,2013/12/28,in the early evening,39,\"Olivia, Hazel, Nora\"\ne13470,2013/12/29,in the early afternoon,54,Piper\ne13471,2013/12/29,in the early afternoon,43,\"Olivia, Nora\"\ne13472,2013/12/29,in the early evening,14,\"Nevaeh, Layla, Lydia\"\ne13479,2013/12/30,in the morning,52,\"Claire, Layla\"\ne13480,2013/12/30,in the late afternoon,46,\"Lydia, Kinsley, Avery\"\ne13481,2013/12/30,in the early evening,33,Kinsley\ne13488,2013/12/31,in the early evening,35,Nora\ne13489,2013/12/31,in the late afternoon,8,\"Hazel, Rylee, Piper\"\ne13719,2014/01/01,during lunch hours,45,Nora\ne13720,2014/01/01,in the early evening,50,\"Kinsley, Nevaeh, Avery, Claire\"\ne13721,2014/01/01,in the early afternoon,12,\"Nevaeh, Avery\"\ne13728,2014/01/02,in the early afternoon,53,\"Claire, Avery, Layla\"\ne13729,2014/01/02,in the early afternoon,30,\"Layla, Claire\"\ne13730,2014/01/02,in the morning,55,\"Piper, Eva, Layla\"\ne13737,2014/01/03,in the early afternoon,46,\"Nora, Eva, Kinsley, Layla\"\ne13738,2014/01/03,late in the evening,7,\"Layla, Piper\"\ne13739,2014/01/03,during lunch hours,29,Olivia\ne13740,2014/01/03,in the morning,14,\"Nevaeh, Piper\"\ne13747,2014/01/04,during lunch hours,32,\"Nevaeh, Claire\"\ne13748,2014/01/04,in the early afternoon,49,\"Lydia, Nevaeh, Piper\"\ne13749,2014/01/04,in the early afternoon,46,Nevaeh\ne13750,2014/01/04,in the early evening,41,\"Rylee, Hazel\"\ne13757,2014/01/05,in the early afternoon,51,Nora\ne13758,2014/01/05,in the late afternoon,38,\"Rylee, Hazel\"\ne13765,2014/01/06,in the late afternoon,34,\"Eva, Lydia, Avery\"\ne13766,2014/01/06,in the early evening,11,\"Avery, Nora, Nevaeh, Layla\"\ne13767,2014/01/06,in the early afternoon,53,\"Claire, Piper, Avery, Lydia\"\ne13768,2014/01/06,in the early afternoon,43,\"Layla, Avery, Olivia\"\ne13775,2014/01/07,late in the evening,17,\"Claire, Nora\"\ne13776,2014/01/07,in the late afternoon,32,\"Rylee, Claire\"\ne13777,2014/01/07,in the late afternoon,23,\"Lydia, Hazel\"\ne13784,2014/01/08,late in the evening,27,\"Piper, Layla\"\ne13785,2014/01/08,in the early evening,16,\"Piper, Layla, Avery, Eva\"\ne13786,2014/01/08,during lunch hours,51,Eva\ne13787,2014/01/08,in the morning,32,\"Olivia, Eva, Layla\"\ne13794,2014/01/09,in the early afternoon,53,\"Claire, Avery, Olivia, Layla\"\ne13795,2014/01/09,in the late afternoon,6,\"Piper, Olivia, Claire, Eva\"\ne13796,2014/01/09,in the morning,53,\"Layla, Nevaeh, Hazel\"\ne13803,2014/01/10,in the early afternoon,54,Eva\ne13804,2014/01/10,in the late afternoon,6,\"Avery, Claire\"\ne13805,2014/01/10,during lunch hours,23,Olivia\ne13812,2014/01/11,in the morning,38,\"Piper, Layla, Rylee, Avery\"\ne13813,2014/01/11,in the early afternoon,29,\"Nora, Piper, Avery, Layla\"\ne13814,2014/01/11,during lunch hours,21,Piper\ne13815,2014/01/11,in the late afternoon,21,\"Hazel, Olivia\"\ne13822,2014/01/12,in the late afternoon,30,\"Claire, Nevaeh\"\ne13823,2014/01/12,in the morning,18,Piper\ne13830,2014/01/13,in the early afternoon,37,Piper\ne13831,2014/01/13,in the early afternoon,16,\"Avery, Eva, Nevaeh\"\ne13838,2014/01/14,in the early evening,36,\"Piper, Eva, Piper\"\ne13839,2014/01/14,in the early evening,24,\"Kinsley, Lydia, Nevaeh, Claire\"\ne13840,2014/01/14,in the early afternoon,23,Eva\ne13847,2014/01/15,in the late afternoon,28,Claire\ne13854,2014/01/16,in the early evening,49,\"Kinsley, Piper\"\ne13855,2014/01/16,in the morning,40,Claire\ne13856,2014/01/16,late in the evening,5,\"Nora, Nevaeh, Avery, Hazel\"\ne13857,2014/01/16,in the morning,38,\"Kinsley, Nora, Claire, Olivia\"\ne13864,2014/01/17,late in the evening,44,\"Olivia, Nora, Piper\"\ne13865,2014/01/17,in the morning,54,\"Piper, Kinsley, Claire\"\ne13872,2014/01/18,in the late afternoon,34,\"Piper, Hazel\"\ne13873,2014/01/18,in the early afternoon,32,Claire\ne13880,2014/01/19,late in the evening,10,\"Olivia, Nora, Rylee\"\ne13881,2014/01/19,in the morning,41,\"Nora, Avery, Claire, Olivia\"\ne13882,2014/01/19,late in the evening,27,\"Claire, Piper, Kinsley\"\ne13889,2014/01/20,in the morning,31,Claire\ne13890,2014/01/20,in the morning,40,\"Lydia, Claire, Avery\"\ne13896,2014/01/21,in the late afternoon,6,\"Avery, Layla, Claire\"\ne13897,2014/01/21,in the morning,54,\"Layla, Piper\"\ne13898,2014/01/21,in the late afternoon,9,\"Rylee, Layla\"\ne13905,2014/01/22,late in the evening,50,\"Eva, Kinsley, Piper, Olivia\"\ne13906,2014/01/22,during lunch hours,38,Piper\ne13907,2014/01/22,in the early evening,12,\"Piper, Rylee, Eva, Olivia\"\ne13914,2014/01/23,in the early evening,11,\"Olivia, Avery, Piper, Layla\"\ne13915,2014/01/23,during lunch hours,40,\"Hazel, Eva, Claire, Piper\"\ne13922,2014/01/24,in the early afternoon,12,Kinsley\ne13923,2014/01/24,late in the evening,39,Nevaeh\ne13924,2014/01/24,in the late afternoon,23,\"Eva, Hazel, Layla, Piper\"\ne13931,2014/01/25,in the late afternoon,18,\"Nora, Lydia, Eva, Avery\"\ne13932,2014/01/25,in the morning,40,\"Rylee, Kinsley\"\ne13933,2014/01/25,in the late afternoon,10,Piper\ne13934,2014/01/25,in the early afternoon,18,\"Hazel, Eva, Kinsley, Lydia\"\ne13941,2014/01/26,in the late afternoon,14,\"Rylee, Lydia, Olivia, Nora\"\ne13942,2014/01/26,in the early evening,24,\"Lydia, Kinsley, Claire, Avery\"\ne13943,2014/01/26,in the early evening,17,Kinsley\ne13950,2014/01/27,in the morning,26,\"Lydia, Olivia, Nora, Kinsley\"\ne13951,2014/01/27,late in the evening,13,\"Nevaeh, Nora, Avery\"\ne13952,2014/01/27,in the early evening,13,\"Claire, Lydia, Nevaeh\"\ne13959,2014/01/28,late in the evening,54,Layla\ne13960,2014/01/28,in the morning,41,Eva\ne13967,2014/01/29,in the morning,13,\"Olivia, Kinsley\"\ne13968,2014/01/29,in the morning,24,\"Olivia, Lydia\"\ne13969,2014/01/29,late in the evening,15,Nora\ne13970,2014/01/29,in the late afternoon,34,\"Rylee, Lydia, Avery, Eva\"\ne13977,2014/01/30,late in the evening,19,\"Layla, Eva\"\ne13978,2014/01/30,in the morning,55,\"Eva, Kinsley\"\ne13985,2014/01/31,in the early evening,30,Piper\ne13986,2014/01/31,during lunch hours,35,Piper\ne13987,2014/01/31,in the early evening,37,Kinsley\ne13993,2014/02/01,during lunch hours,25,\"Avery, Kinsley, Piper\"\ne13994,2014/02/01,in the late afternoon,52,\"Avery, Lydia\"\ne13995,2014/02/01,in the early afternoon,45,\"Claire, Piper, Piper, Olivia\"\ne14002,2014/02/02,in the late afternoon,41,\"Avery, Hazel\"\ne14003,2014/02/02,during lunch hours,16,\"Eva, Nora, Rylee\"\ne14004,2014/02/02,during lunch hours,32,\"Rylee, Claire\"\ne14011,2014/02/03,in the early evening,29,\"Layla, Lydia\"\ne14012,2014/02/03,in the early evening,18,Lydia\ne14013,2014/02/03,in the early evening,13,\"Piper, Claire\"\ne14020,2014/02/04,during lunch hours,19,\"Avery, Piper\"\ne14021,2014/02/04,during lunch hours,13,\"Avery, Piper, Hazel\"\ne14022,2014/02/04,in the early afternoon,45,\"Nora, Piper, Lydia\"\ne14029,2014/02/05,in the early evening,50,\"Nora, Eva, Claire\"\ne14030,2014/02/05,in the late afternoon,54,\"Claire, Olivia, Piper\"\ne14031,2014/02/05,during lunch hours,35,\"Lydia, Hazel, Eva, Olivia\"\ne14038,2014/02/06,during lunch hours,26,\"Olivia, Lydia\"\ne14039,2014/02/06,in the late afternoon,48,\"Avery, Olivia, Nevaeh\"\ne14046,2014/02/07,during lunch hours,55,\"Piper, Olivia, Eva, Layla\"\ne14047,2014/02/07,in the early evening,41,Rylee\ne14048,2014/02/07,in the morning,20,\"Rylee, Claire, Kinsley\"\ne14049,2014/02/07,in the early afternoon,41,Avery\ne14056,2014/02/08,during lunch hours,9,Layla\ne14057,2014/02/08,in the morning,30,\"Piper, Piper, Kinsley\"\ne14058,2014/02/08,in the late afternoon,48,Layla\ne14065,2014/02/09,late in the evening,21,Nora\ne14066,2014/02/09,in the early evening,14,\"Rylee, Hazel, Lydia, Avery\"\ne14067,2014/02/09,in the early afternoon,15,\"Piper, Claire\"\ne14074,2014/02/10,in the morning,8,\"Piper, Claire, Olivia\"\ne14075,2014/02/10,in the early evening,6,\"Layla, Piper, Avery, Hazel\"\ne14076,2014/02/10,during lunch hours,37,\"Piper, Rylee, Hazel, Lydia\"\ne14083,2014/02/11,in the morning,42,\"Layla, Piper\"\ne14084,2014/02/11,in the early afternoon,9,\"Lydia, Eva\"\ne14085,2014/02/11,in the late afternoon,26,Kinsley\ne14092,2014/02/12,late in the evening,39,Avery\ne14093,2014/02/12,late in the evening,33,\"Rylee, Kinsley\"\ne14094,2014/02/12,in the late afternoon,36,\"Eva, Layla, Nevaeh\"\ne14101,2014/02/13,in the early afternoon,34,\"Olivia, Avery\"\ne14102,2014/02/13,in the morning,36,\"Rylee, Nora, Avery, Nevaeh\"\ne14109,2014/02/14,in the morning,50,\"Lydia, Piper\"\ne14110,2014/02/14,in the late afternoon,12,Hazel\ne14111,2014/02/14,in the morning,18,\"Piper, Piper, Kinsley, Rylee\"\ne14118,2014/02/15,in the late afternoon,47,\"Lydia, Hazel, Nora\"\ne14119,2014/02/15,during lunch hours,22,\"Piper, Nora, Olivia\"\ne14126,2014/02/16,during lunch hours,23,\"Eva, Layla\"\ne14127,2014/02/16,in the early evening,27,\"Piper, Kinsley\"\ne14134,2014/02/17,in the early evening,20,Avery\ne14135,2014/02/17,during lunch hours,32,\"Rylee, Hazel, Olivia\"\ne14142,2014/02/18,in the late afternoon,49,\"Nevaeh, Nora, Olivia\"\ne14143,2014/02/18,in the morning,23,\"Nevaeh, Kinsley, Hazel\"\ne14150,2014/02/19,in the early evening,42,\"Eva, Claire, Kinsley, Layla\"\ne14151,2014/02/19,in the early afternoon,7,\"Hazel, Layla\"\ne14152,2014/02/19,in the morning,53,\"Avery, Piper, Nevaeh, Lydia\"\ne14159,2014/02/20,in the late afternoon,6,\"Kinsley, Piper, Olivia\"\ne14160,2014/02/20,in the late afternoon,54,\"Lydia, Piper, Nora\"\ne14161,2014/02/20,late in the evening,15,\"Eva, Hazel, Rylee\"\ne14168,2014/02/21,late in the evening,36,\"Layla, Piper\"\ne14169,2014/02/21,in the late afternoon,28,\"Layla, Hazel\"\ne14176,2014/02/22,during lunch hours,45,\"Piper, Nora\"\ne14177,2014/02/22,in the early evening,5,\"Piper, Lydia, Nevaeh, Piper\"\ne14178,2014/02/22,in the late afternoon,42,\"Eva, Hazel, Layla, Olivia\"\ne14185,2014/02/23,in the early evening,34,Claire\ne14186,2014/02/23,in the morning,9,\"Eva, Rylee, Lydia, Avery\"\ne14187,2014/02/23,in the early afternoon,12,\"Rylee, Eva, Claire\"\ne14194,2014/02/24,in the early afternoon,22,Claire\ne14195,2014/02/24,in the morning,46,Layla\ne14196,2014/02/24,late in the evening,31,\"Rylee, Nevaeh, Piper, Nora\"\ne14203,2014/02/25,in the morning,55,\"Piper, Hazel, Kinsley, Lydia\"\ne14204,2014/02/25,in the morning,14,\"Kinsley, Piper, Eva, Hazel\"\ne14211,2014/02/26,in the late afternoon,39,\"Piper, Piper, Olivia, Kinsley\"\ne14212,2014/02/26,in the early evening,51,\"Lydia, Olivia, Eva\"\ne14213,2014/02/26,late in the evening,43,\"Hazel, Piper, Nora, Piper\"\ne14220,2014/02/27,in the late afternoon,33,\"Nora, Layla, Olivia\"\ne14221,2014/02/27,in the morning,26,\"Layla, Olivia\"\ne14222,2014/02/27,in the early afternoon,9,Kinsley\ne14229,2014/02/28,late in the evening,46,\"Kinsley, Nora, Claire, Layla\"\ne14230,2014/02/28,during lunch hours,8,\"Eva, Nevaeh, Kinsley\"\ne14236,2014/03/01,in the morning,37,Rylee\ne14237,2014/03/01,in the morning,6,Eva\ne14238,2014/03/01,late in the evening,18,Lydia\ne14245,2014/03/02,in the early evening,27,\"Avery, Piper, Hazel\"\ne14246,2014/03/02,in the late afternoon,41,\"Avery, Olivia, Layla\"\ne14253,2014/03/03,during lunch hours,39,\"Nevaeh, Avery, Layla\"\ne14254,2014/03/03,during lunch hours,5,\"Rylee, Hazel\"\ne14261,2014/03/04,in the morning,19,\"Lydia, Nora\"\ne14262,2014/03/04,in the late afternoon,51,\"Layla, Hazel, Lydia, Nevaeh\"\ne14263,2014/03/04,in the early afternoon,31,\"Eva, Kinsley, Nora\"\ne14264,2014/03/04,in the early afternoon,52,Nora\ne14270,2014/03/05,in the morning,31,\"Avery, Piper, Olivia, Layla\"\ne14271,2014/03/05,during lunch hours,25,\"Hazel, Piper, Piper\"\ne14278,2014/03/06,late in the evening,53,Layla\ne14279,2014/03/06,in the morning,43,\"Nevaeh, Avery, Nora, Eva\"\ne14280,2014/03/06,in the morning,20,\"Claire, Olivia, Layla\"\ne14287,2014/03/07,in the morning,38,Rylee\ne14288,2014/03/07,during lunch hours,19,\"Rylee, Olivia\"\ne14289,2014/03/07,in the morning,22,\"Olivia, Nora\"\ne14296,2014/03/08,late in the evening,53,\"Olivia, Piper, Lydia, Eva\"\ne14297,2014/03/08,in the late afternoon,11,\"Nevaeh, Nora\"\ne14298,2014/03/08,in the morning,53,\"Lydia, Avery\"\ne14305,2014/03/09,in the morning,26,Nora\ne14306,2014/03/09,during lunch hours,15,\"Hazel, Avery, Nevaeh, Layla\"\ne14307,2014/03/09,during lunch hours,31,\"Nevaeh, Piper, Nora, Claire\"\ne14314,2014/03/10,in the early evening,18,\"Eva, Kinsley, Rylee\"\ne14315,2014/03/10,during lunch hours,23,Lydia\ne14316,2014/03/10,during lunch hours,47,\"Piper, Nora\"\ne14323,2014/03/11,in the morning,40,\"Kinsley, Layla, Hazel, Piper\"\ne14324,2014/03/11,late in the evening,35,\"Eva, Layla, Rylee\"\ne14325,2014/03/11,late in the evening,53,\"Piper, Hazel, Layla\"\ne14332,2014/03/12,in the early evening,38,Olivia\ne14333,2014/03/12,in the early afternoon,7,Rylee\ne14340,2014/03/13,late in the evening,52,\"Claire, Hazel\"\ne14341,2014/03/13,in the late afternoon,29,\"Layla, Kinsley, Claire\"\ne14342,2014/03/13,in the morning,36,\"Claire, Piper, Kinsley\"\ne14349,2014/03/14,in the early evening,19,\"Layla, Nora\"\ne14350,2014/03/14,in the late afternoon,37,\"Layla, Piper, Kinsley\"\ne14351,2014/03/14,during lunch hours,5,\"Nora, Piper, Eva\"\ne14358,2014/03/15,in the late afternoon,8,\"Avery, Nevaeh, Layla, Piper\"\ne14359,2014/03/15,in the early evening,30,\"Piper, Piper\"\ne14366,2014/03/16,in the early afternoon,31,\"Layla, Kinsley, Piper\"\ne14367,2014/03/16,in the early evening,21,\"Piper, Piper, Kinsley, Claire\"\ne14368,2014/03/16,in the early afternoon,6,Kinsley\ne14375,2014/03/17,late in the evening,30,\"Avery, Hazel, Piper\"\ne14376,2014/03/17,during lunch hours,32,\"Rylee, Eva\"\ne14377,2014/03/17,late in the evening,49,\"Eva, Piper, Lydia, Olivia\"\ne14378,2014/03/17,in the morning,26,Olivia\ne14385,2014/03/18,in the early evening,5,\"Nevaeh, Piper, Piper, Avery\"\ne14386,2014/03/18,during lunch hours,51,\"Piper, Kinsley, Olivia, Avery\"\ne14387,2014/03/18,late in the evening,48,\"Piper, Rylee, Avery\"\ne14394,2014/03/19,in the late afternoon,17,\"Hazel, Olivia, Eva\"\ne14395,2014/03/19,late in the evening,8,\"Rylee, Layla\"\ne14396,2014/03/19,in the early evening,41,\"Nevaeh, Lydia\"\ne14403,2014/03/20,during lunch hours,51,\"Hazel, Kinsley, Avery\"\ne14404,2014/03/20,during lunch hours,49,\"Eva, Rylee, Claire, Kinsley\"\ne14411,2014/03/21,late in the evening,34,\"Olivia, Kinsley\"\ne14412,2014/03/21,in the morning,17,\"Hazel, Nora\"\ne14413,2014/03/21,during lunch hours,45,\"Eva, Layla\"\ne14414,2014/03/21,in the early afternoon,10,Avery\ne14421,2014/03/22,in the early afternoon,20,\"Avery, Lydia\"\ne14422,2014/03/22,late in the evening,7,Olivia\ne14423,2014/03/22,in the early afternoon,21,\"Nora, Piper\"\ne14430,2014/03/23,in the early evening,6,\"Nevaeh, Olivia\"\ne14431,2014/03/23,in the late afternoon,14,\"Nora, Avery, Rylee\"\ne14432,2014/03/23,late in the evening,40,\"Eva, Piper, Kinsley\"\ne14433,2014/03/23,during lunch hours,44,\"Piper, Nora, Piper, Olivia\"\ne14440,2014/03/24,in the early afternoon,15,\"Claire, Piper, Kinsley, Lydia\"\ne14441,2014/03/24,in the early afternoon,48,\"Kinsley, Avery, Olivia, Eva\"\ne14442,2014/03/24,in the morning,32,\"Layla, Nora, Rylee\"\ne14448,2014/03/25,late in the evening,36,\"Nevaeh, Lydia\"\ne14449,2014/03/25,late in the evening,30,\"Nevaeh, Lydia, Kinsley, Layla\"\ne14450,2014/03/25,during lunch hours,22,\"Layla, Nora, Piper\"\ne14457,2014/03/26,in the early evening,12,\"Lydia, Avery, Eva, Rylee\"\ne14458,2014/03/26,during lunch hours,30,Claire\ne14465,2014/03/27,in the early evening,35,\"Piper, Lydia, Kinsley\"\ne14466,2014/03/27,during lunch hours,23,\"Eva, Olivia, Hazel\"\ne14467,2014/03/27,in the early afternoon,32,\"Eva, Piper, Piper\"\ne14468,2014/03/27,in the early afternoon,23,\"Claire, Layla, Hazel\"\ne14475,2014/03/28,in the late afternoon,34,\"Olivia, Avery, Layla, Hazel\"\ne14476,2014/03/28,in the morning,36,\"Rylee, Eva\"\ne14477,2014/03/28,in the late afternoon,14,\"Avery, Kinsley, Rylee, Olivia\"\ne14484,2014/03/29,in the late afternoon,13,Avery\ne14485,2014/03/29,in the late afternoon,24,\"Claire, Nora, Piper, Rylee\"\ne14486,2014/03/29,late in the evening,39,\"Hazel, Nora\"\ne14493,2014/03/30,during lunch hours,16,Hazel\ne14494,2014/03/30,during lunch hours,43,Nora\ne14501,2014/03/31,in the late afternoon,12,\"Piper, Avery\"\ne14502,2014/03/31,in the early afternoon,13,\"Rylee, Piper, Piper, Kinsley\"\ne14503,2014/03/31,in the early evening,47,\"Piper, Piper\"\ne14510,2014/04/01,during lunch hours,10,\"Nevaeh, Layla, Nora, Hazel\"\ne14511,2014/04/01,in the morning,11,Eva\ne14518,2014/04/02,late in the evening,24,\"Claire, Lydia, Avery, Piper\"\ne14519,2014/04/02,late in the evening,18,\"Eva, Piper, Lydia, Claire\"\ne14526,2014/04/03,late in the evening,50,Olivia\ne14527,2014/04/03,in the early afternoon,6,Claire\ne14534,2014/04/04,in the morning,17,\"Piper, Kinsley\"\ne14535,2014/04/04,late in the evening,10,\"Piper, Nora\"\ne14536,2014/04/04,in the early afternoon,30,\"Rylee, Kinsley\"\ne14543,2014/04/05,in the early evening,5,\"Olivia, Hazel\"\ne14544,2014/04/05,during lunch hours,11,\"Claire, Olivia, Layla\"\ne14551,2014/04/06,in the early evening,55,\"Nevaeh, Avery, Hazel, Kinsley\"\ne14552,2014/04/06,in the morning,46,Piper\ne14553,2014/04/06,during lunch hours,39,\"Piper, Avery, Piper, Rylee\"\ne14560,2014/04/07,in the early afternoon,37,Kinsley\ne14561,2014/04/07,late in the evening,5,\"Lydia, Layla\"\ne14562,2014/04/07,in the early evening,22,Eva\ne14563,2014/04/07,in the early evening,31,\"Claire, Piper, Olivia\"\ne14570,2014/04/08,during lunch hours,13,\"Eva, Hazel, Kinsley, Claire\"\ne14571,2014/04/08,in the morning,12,\"Layla, Eva, Claire\"\ne14572,2014/04/08,during lunch hours,48,\"Nevaeh, Claire\"\ne14579,2014/04/09,in the early evening,12,\"Rylee, Nora, Piper\"\ne14580,2014/04/09,in the morning,31,\"Claire, Piper\"\ne14581,2014/04/09,in the early evening,7,Rylee\ne14582,2014/04/09,in the morning,34,Nora\ne14589,2014/04/10,in the early afternoon,6,\"Eva, Lydia, Rylee, Olivia\"\ne14590,2014/04/10,in the early afternoon,36,\"Piper, Piper, Nora, Claire\"\ne14591,2014/04/10,late in the evening,28,Piper\ne14598,2014/04/11,during lunch hours,12,\"Piper, Rylee, Eva, Avery\"\ne14599,2014/04/11,in the early afternoon,46,\"Layla, Rylee\"\ne14606,2014/04/12,in the early evening,16,Olivia\ne14607,2014/04/12,in the late afternoon,5,\"Piper, Claire, Layla\"\ne14614,2014/04/13,in the early evening,28,\"Olivia, Avery, Claire\"\ne14615,2014/04/13,in the early evening,53,\"Nora, Lydia, Rylee, Claire\"\ne14616,2014/04/13,late in the evening,10,\"Nora, Olivia\"\ne14623,2014/04/14,late in the evening,13,\"Avery, Eva\"\ne14624,2014/04/14,in the morning,25,Kinsley\ne14631,2014/04/15,late in the evening,9,\"Eva, Olivia\"\ne14632,2014/04/15,in the late afternoon,46,\"Hazel, Piper\"\ne14639,2014/04/16,during lunch hours,10,\"Avery, Claire, Rylee, Nevaeh\"\ne14640,2014/04/16,in the late afternoon,19,\"Nora, Olivia\"\ne14641,2014/04/16,late in the evening,28,\"Nevaeh, Olivia, Avery, Lydia\"\ne14648,2014/04/17,in the late afternoon,14,\"Kinsley, Nora, Eva\"\ne14649,2014/04/17,in the early evening,47,Layla\ne14650,2014/04/17,in the early evening,40,\"Olivia, Hazel, Layla, Piper\"\ne14657,2014/04/18,in the morning,8,\"Olivia, Piper, Rylee, Kinsley\"\ne14658,2014/04/18,in the late afternoon,39,\"Avery, Kinsley, Hazel, Piper\"\ne14659,2014/04/18,late in the evening,29,\"Nevaeh, Claire, Layla\"\ne14665,2014/04/19,late in the evening,28,\"Piper, Nora, Kinsley\"\ne14666,2014/04/19,in the early afternoon,7,Kinsley\ne14667,2014/04/19,in the early afternoon,47,\"Eva, Nora\"\ne14668,2014/04/19,in the morning,9,\"Avery, Claire\"\ne14675,2014/04/20,in the early evening,25,\"Piper, Olivia, Layla, Nora\"\ne14676,2014/04/20,in the early afternoon,36,\"Nevaeh, Layla, Eva\"\ne14683,2014/04/21,in the morning,30,\"Lydia, Avery, Piper, Nora\"\ne14684,2014/04/21,during lunch hours,53,Kinsley\ne14685,2014/04/21,in the early afternoon,24,\"Olivia, Kinsley\"\ne14692,2014/04/22,in the late afternoon,21,\"Piper, Kinsley\"\ne14693,2014/04/22,in the early evening,37,\"Eva, Nevaeh\"\ne14694,2014/04/22,in the late afternoon,10,Eva\ne14701,2014/04/23,in the early evening,38,\"Layla, Eva\"\ne14702,2014/04/23,in the late afternoon,49,\"Kinsley, Olivia, Avery\"\ne14703,2014/04/23,in the early evening,25,\"Layla, Eva, Kinsley, Avery\"\ne14710,2014/04/24,in the morning,17,\"Avery, Piper\"\ne14711,2014/04/24,in the early evening,29,\"Rylee, Avery, Kinsley\"\ne14712,2014/04/24,late in the evening,13,\"Olivia, Layla\"\ne14719,2014/04/25,in the early evening,50,\"Olivia, Piper\"\ne14720,2014/04/25,in the early evening,31,\"Lydia, Nevaeh, Piper\"\ne14721,2014/04/25,in the early afternoon,22,\"Kinsley, Layla, Rylee\"\ne14728,2014/04/26,late in the evening,28,\"Avery, Layla, Kinsley, Nora\"\ne14729,2014/04/26,in the early evening,52,Piper\ne14730,2014/04/26,in the late afternoon,19,\"Olivia, Lydia, Nora\"\ne14736,2014/04/27,late in the evening,35,Hazel\ne14737,2014/04/27,in the morning,9,\"Nora, Claire, Kinsley\"\ne14738,2014/04/27,in the early evening,6,\"Claire, Lydia, Kinsley\"\ne14745,2014/04/28,in the early afternoon,5,Eva\ne14746,2014/04/28,late in the evening,7,\"Piper, Olivia, Lydia, Claire\"\ne14747,2014/04/28,during lunch hours,53,\"Lydia, Hazel, Piper, Eva\"\ne14748,2014/04/28,in the morning,22,\"Claire, Rylee, Lydia\"\ne14755,2014/04/29,in the late afternoon,25,\"Rylee, Nora, Nevaeh\"\ne14756,2014/04/29,in the late afternoon,9,\"Nevaeh, Olivia, Eva\"\ne14757,2014/04/29,in the morning,25,\"Eva, Claire\"\ne14764,2014/04/30,during lunch hours,48,\"Piper, Olivia\"\ne14765,2014/04/30,in the morning,21,\"Layla, Kinsley, Claire\"\ne14772,2014/05/01,in the morning,48,\"Claire, Lydia\"\ne14773,2014/05/01,late in the evening,43,\"Hazel, Nevaeh, Piper\"\ne14774,2014/05/01,in the early afternoon,17,Nora\ne14781,2014/05/02,in the early afternoon,44,\"Lydia, Piper\"\ne14782,2014/05/02,late in the evening,25,\"Nora, Eva, Piper, Claire\"\ne14783,2014/05/02,late in the evening,46,\"Rylee, Kinsley, Claire, Nevaeh\"\ne14790,2014/05/03,in the late afternoon,43,\"Piper, Lydia, Avery, Eva\"\ne14791,2014/05/03,in the early evening,21,Rylee\ne14792,2014/05/03,in the morning,26,\"Claire, Lydia\"\ne14798,2014/05/04,during lunch hours,53,Piper\ne14799,2014/05/04,in the morning,14,Hazel\ne14806,2014/05/05,in the early evening,32,\"Avery, Kinsley, Lydia\"\ne14807,2014/05/05,during lunch hours,33,Piper\ne14808,2014/05/05,in the late afternoon,28,\"Nevaeh, Eva, Avery\"\ne14815,2014/05/06,in the early afternoon,16,Hazel\ne14816,2014/05/06,in the early evening,37,Olivia\ne14817,2014/05/06,during lunch hours,26,\"Lydia, Hazel, Piper\"\ne14824,2014/05/07,during lunch hours,21,Piper\ne14825,2014/05/07,in the morning,42,\"Piper, Piper\"\ne14826,2014/05/07,late in the evening,45,Lydia\ne14833,2014/05/08,in the early afternoon,25,\"Hazel, Olivia\"\ne14834,2014/05/08,during lunch hours,36,\"Eva, Piper, Lydia, Rylee\"\ne14835,2014/05/08,in the late afternoon,10,\"Eva, Rylee, Piper, Lydia\"\ne14842,2014/05/09,during lunch hours,46,\"Eva, Piper, Piper, Olivia\"\ne14843,2014/05/09,in the morning,45,\"Rylee, Lydia\"\ne14844,2014/05/09,in the morning,11,\"Nora, Avery\"\ne14851,2014/05/10,in the early afternoon,53,\"Nora, Piper, Piper\"\ne14852,2014/05/10,in the morning,40,\"Kinsley, Lydia\"\ne14853,2014/05/10,late in the evening,51,\"Nevaeh, Piper, Rylee\"\ne14860,2014/05/11,in the late afternoon,5,\"Claire, Avery, Rylee\"\ne14861,2014/05/11,in the early afternoon,10,Avery\ne14862,2014/05/11,in the late afternoon,8,\"Layla, Eva, Kinsley, Hazel\"\ne14863,2014/05/11,during lunch hours,42,Eva\ne14870,2014/05/12,in the early afternoon,23,Piper\ne14871,2014/05/12,in the early evening,44,\"Lydia, Rylee\"\ne14878,2014/05/13,during lunch hours,5,\"Kinsley, Eva\"\ne14879,2014/05/13,in the early evening,49,\"Kinsley, Olivia\"\ne14880,2014/05/13,in the morning,37,\"Avery, Claire, Nevaeh, Olivia\"\ne14887,2014/05/14,in the early afternoon,25,Piper\ne14888,2014/05/14,in the early afternoon,18,Rylee\ne14889,2014/05/14,in the early evening,24,\"Nora, Lydia, Eva\"\ne14895,2014/05/15,late in the evening,27,Rylee\ne14896,2014/05/15,in the morning,24,Nora\ne14897,2014/05/15,during lunch hours,35,\"Layla, Hazel\"\ne14898,2014/05/15,in the early evening,45,\"Piper, Nevaeh\"\ne14904,2014/05/16,late in the evening,40,Rylee\ne14905,2014/05/16,late in the evening,10,Claire\ne14912,2014/05/17,during lunch hours,40,\"Layla, Eva, Nora\"\ne14913,2014/05/17,during lunch hours,13,\"Piper, Claire, Hazel\"\ne14914,2014/05/17,in the early afternoon,15,Lydia\ne14915,2014/05/17,in the morning,49,\"Piper, Kinsley, Nevaeh\"\ne14922,2014/05/18,in the late afternoon,40,\"Avery, Layla, Hazel\"\ne14923,2014/05/18,in the late afternoon,41,Layla\ne14924,2014/05/18,in the early afternoon,30,\"Hazel, Kinsley\"\ne14931,2014/05/19,in the early afternoon,16,\"Eva, Lydia, Claire\"\ne14932,2014/05/19,late in the evening,10,\"Hazel, Lydia\"\ne14939,2014/05/20,in the early evening,39,\"Eva, Nevaeh, Piper\"\ne14940,2014/05/20,in the early evening,5,\"Olivia, Claire, Nora, Kinsley\"\ne14941,2014/05/20,in the early afternoon,25,Hazel\ne14947,2014/05/21,in the early afternoon,54,\"Hazel, Kinsley\"\ne14948,2014/05/21,in the early evening,48,\"Claire, Eva, Rylee\"\ne14949,2014/05/21,in the late afternoon,28,\"Kinsley, Lydia\"\ne14950,2014/05/21,during lunch hours,28,Claire\ne14956,2014/05/22,in the early evening,50,Rylee\ne14957,2014/05/22,in the early afternoon,24,\"Piper, Olivia, Piper\"\ne14958,2014/05/22,in the morning,36,\"Lydia, Piper, Kinsley, Claire\"\ne14964,2014/05/23,during lunch hours,36,\"Nora, Hazel\"\ne14965,2014/05/23,during lunch hours,21,\"Layla, Kinsley\"\ne14966,2014/05/23,late in the evening,48,\"Nevaeh, Lydia, Rylee, Kinsley\"\ne14972,2014/05/24,during lunch hours,31,\"Rylee, Layla, Hazel, Kinsley\"\ne14973,2014/05/24,during lunch hours,40,\"Nora, Rylee\"\ne14974,2014/05/24,in the early evening,35,\"Avery, Olivia, Layla, Rylee\"\ne14975,2014/05/24,in the morning,25,\"Layla, Nora, Piper\"\ne14981,2014/05/25,in the morning,47,Olivia\ne14982,2014/05/25,late in the evening,19,\"Hazel, Piper, Layla\"\ne14988,2014/05/26,in the early afternoon,34,\"Nevaeh, Avery, Nora, Piper\"\ne14989,2014/05/26,in the late afternoon,23,\"Olivia, Layla\"\ne14990,2014/05/26,in the early afternoon,36,\"Claire, Olivia, Lydia, Eva\"\ne14997,2014/05/27,in the late afternoon,29,\"Eva, Olivia\"\ne14998,2014/05/27,in the early afternoon,55,\"Eva, Hazel, Rylee, Claire\"\ne15005,2014/05/28,late in the evening,5,\"Olivia, Rylee, Nora\"\ne15006,2014/05/28,in the late afternoon,52,\"Rylee, Claire\"\ne15007,2014/05/28,in the morning,20,\"Claire, Avery, Nevaeh, Kinsley\"\ne15008,2014/05/28,in the late afternoon,10,\"Layla, Eva, Avery\"\ne15015,2014/05/29,during lunch hours,43,\"Piper, Nevaeh, Olivia\"\ne15016,2014/05/29,late in the evening,49,Nevaeh\ne15017,2014/05/29,during lunch hours,26,Eva\ne15024,2014/05/30,in the late afternoon,41,\"Eva, Avery, Hazel, Layla\"\ne15025,2014/05/30,late in the evening,19,\"Claire, Piper, Piper, Lydia\"\ne15032,2014/05/31,in the late afternoon,49,\"Nevaeh, Avery\"\ne15033,2014/05/31,in the morning,34,\"Avery, Layla, Olivia, Claire\"\ne15034,2014/05/31,in the late afternoon,26,\"Avery, Olivia, Kinsley, Claire\"\ne15035,2014/05/31,during lunch hours,31,\"Olivia, Avery, Layla\"\ne15042,2014/06/01,in the early afternoon,23,\"Kinsley, Eva\"\ne15049,2014/06/02,late in the evening,20,\"Olivia, Claire\"\ne15050,2014/06/02,in the late afternoon,10,\"Nora, Eva, Piper, Claire\"\ne15051,2014/06/02,late in the evening,47,\"Claire, Lydia\"\ne15058,2014/06/03,in the late afternoon,41,Kinsley\ne15059,2014/06/03,in the early evening,54,\"Claire, Eva, Hazel\"\ne15060,2014/06/03,late in the evening,29,\"Nevaeh, Hazel, Nora, Olivia\"\ne15067,2014/06/04,in the early evening,24,\"Eva, Hazel\"\ne15068,2014/06/04,in the early afternoon,48,\"Lydia, Kinsley, Layla, Nevaeh\"\ne15069,2014/06/04,in the late afternoon,10,\"Nora, Nevaeh, Lydia, Claire\"\ne15076,2014/06/05,in the early evening,45,\"Piper, Rylee, Avery, Claire\"\ne15077,2014/06/05,during lunch hours,16,\"Nora, Olivia, Piper\"\ne15078,2014/06/05,in the early evening,50,\"Rylee, Kinsley\"\ne15085,2014/06/06,during lunch hours,28,\"Rylee, Nora\"\ne15086,2014/06/06,during lunch hours,21,Lydia\ne15087,2014/06/06,in the late afternoon,30,\"Claire, Nora\"\ne15093,2014/06/07,in the early afternoon,43,Nora\ne15094,2014/06/07,in the early afternoon,35,\"Avery, Layla, Olivia, Eva\"\ne15095,2014/06/07,in the late afternoon,49,\"Rylee, Layla\"\ne15096,2014/06/07,during lunch hours,15,\"Eva, Rylee\"\ne15103,2014/06/08,in the late afternoon,18,\"Nora, Hazel, Layla\"\ne15104,2014/06/08,in the morning,20,\"Piper, Eva\"\ne15105,2014/06/08,in the late afternoon,47,Hazel\ne15112,2014/06/09,during lunch hours,39,\"Nora, Nevaeh, Olivia, Layla\"\ne15113,2014/06/09,during lunch hours,43,\"Piper, Nevaeh\"\ne15114,2014/06/09,in the early afternoon,17,Claire\ne15121,2014/06/10,late in the evening,53,\"Claire, Nevaeh, Piper\"\ne15122,2014/06/10,late in the evening,53,\"Rylee, Avery\"\ne15123,2014/06/10,in the morning,11,Avery\ne15130,2014/06/11,in the early evening,23,Lydia\ne15131,2014/06/11,late in the evening,37,\"Eva, Nevaeh, Layla, Avery\"\ne15132,2014/06/11,in the early evening,53,Olivia\ne15133,2014/06/11,late in the evening,36,\"Kinsley, Nevaeh, Rylee, Piper\"\ne15140,2014/06/12,in the morning,16,\"Hazel, Nora\"\ne15141,2014/06/12,late in the evening,36,\"Piper, Nevaeh, Piper\"\ne15142,2014/06/12,in the early evening,11,\"Layla, Eva\"\ne15149,2014/06/13,late in the evening,39,\"Rylee, Olivia, Hazel, Piper\"\ne15150,2014/06/13,late in the evening,53,\"Avery, Hazel, Olivia\"\ne15151,2014/06/13,in the morning,22,\"Avery, Lydia, Olivia\"\ne15152,2014/06/13,in the morning,14,Nevaeh\ne15159,2014/06/14,in the morning,55,Olivia\ne15160,2014/06/14,in the late afternoon,40,Nora\ne15161,2014/06/14,late in the evening,40,Piper\ne15168,2014/06/15,in the morning,13,\"Rylee, Piper, Nevaeh, Lydia\"\ne15169,2014/06/15,late in the evening,16,\"Kinsley, Piper, Lydia\"\ne15170,2014/06/15,during lunch hours,50,\"Eva, Layla, Lydia, Piper\"\ne15171,2014/06/15,late in the evening,23,\"Nora, Avery, Kinsley, Olivia\"\ne15178,2014/06/16,late in the evening,11,\"Layla, Nora\"\ne15179,2014/06/16,during lunch hours,21,\"Claire, Kinsley, Olivia\"\ne15180,2014/06/16,during lunch hours,7,Eva\ne15187,2014/06/17,in the morning,11,\"Hazel, Eva, Lydia\"\ne15188,2014/06/17,in the early afternoon,17,\"Rylee, Hazel, Nora, Avery\"\ne15195,2014/06/18,during lunch hours,38,Claire\ne15202,2014/06/19,in the early evening,55,\"Olivia, Claire, Layla\"\ne15203,2014/06/19,during lunch hours,15,\"Nevaeh, Avery\"\ne15210,2014/06/20,late in the evening,21,\"Eva, Piper\"\ne15211,2014/06/20,late in the evening,9,Lydia\ne15212,2014/06/20,in the early afternoon,40,\"Piper, Nevaeh, Layla, Rylee\"\ne15213,2014/06/20,during lunch hours,54,Hazel\ne15220,2014/06/21,in the early evening,24,\"Kinsley, Nora, Rylee\"\ne15221,2014/06/21,in the early evening,23,\"Rylee, Kinsley\"\ne15228,2014/06/22,in the early afternoon,45,Olivia\ne15229,2014/06/22,in the early evening,45,\"Rylee, Layla, Nevaeh\"\ne15230,2014/06/22,in the late afternoon,13,\"Lydia, Hazel, Nevaeh, Nora\"\ne15237,2014/06/23,during lunch hours,9,\"Layla, Claire, Olivia\"\ne15238,2014/06/23,during lunch hours,20,\"Piper, Lydia, Avery, Piper\"\ne15239,2014/06/23,late in the evening,8,Kinsley\ne15246,2014/06/24,in the late afternoon,21,\"Avery, Claire, Kinsley, Hazel\"\ne15247,2014/06/24,in the late afternoon,19,\"Lydia, Piper, Avery\"\ne15248,2014/06/24,in the early afternoon,7,\"Piper, Hazel\"\ne15255,2014/06/25,in the morning,21,Layla\ne15256,2014/06/25,in the early evening,54,\"Piper, Lydia\"\ne15263,2014/06/26,in the morning,38,\"Nora, Piper, Avery, Piper\"\ne15264,2014/06/26,in the morning,48,\"Avery, Eva\"\ne15271,2014/06/27,late in the evening,28,\"Lydia, Nora, Avery, Nevaeh\"\ne15272,2014/06/27,late in the evening,12,Avery\ne15279,2014/06/28,late in the evening,6,\"Claire, Olivia, Rylee, Nevaeh\"\ne15280,2014/06/28,in the early afternoon,27,\"Hazel, Olivia\"\ne15287,2014/06/29,late in the evening,52,\"Nevaeh, Avery, Eva, Layla\"\ne15288,2014/06/29,late in the evening,11,\"Lydia, Piper, Claire\"\ne15289,2014/06/29,in the early afternoon,47,\"Olivia, Claire, Eva\"\ne15296,2014/06/30,in the morning,31,\"Claire, Lydia\"\ne15297,2014/06/30,in the late afternoon,42,\"Lydia, Eva\"\ne15298,2014/06/30,late in the evening,51,\"Piper, Kinsley, Eva, Hazel\"\ne15305,2014/07/01,during lunch hours,41,Olivia\ne15306,2014/07/01,in the morning,55,\"Kinsley, Piper, Lydia, Rylee\"\ne15307,2014/07/01,in the morning,39,\"Piper, Nevaeh, Piper, Hazel\"\ne15314,2014/07/02,in the late afternoon,18,\"Piper, Lydia\"\ne15315,2014/07/02,in the early afternoon,6,\"Nora, Lydia, Layla\"\ne15322,2014/07/03,late in the evening,13,\"Kinsley, Hazel, Nevaeh\"\ne15323,2014/07/03,in the early evening,14,\"Olivia, Claire, Lydia, Hazel\"\ne15324,2014/07/03,in the early afternoon,48,\"Hazel, Nora, Olivia\"\ne15331,2014/07/04,late in the evening,50,\"Rylee, Nevaeh, Piper\"\ne15332,2014/07/04,in the late afternoon,47,\"Avery, Hazel\"\ne15339,2014/07/05,in the late afternoon,31,\"Nora, Claire, Rylee\"\ne15340,2014/07/05,late in the evening,31,\"Claire, Piper, Rylee\"\ne15341,2014/07/05,during lunch hours,37,\"Rylee, Eva, Layla\"\ne15348,2014/07/06,in the early evening,39,\"Hazel, Avery\"\ne15349,2014/07/06,in the morning,53,\"Claire, Hazel, Nevaeh, Rylee\"\ne15350,2014/07/06,in the late afternoon,53,\"Kinsley, Layla\"\ne15351,2014/07/06,in the early afternoon,30,\"Lydia, Kinsley\"\ne15358,2014/07/07,in the morning,54,\"Piper, Nora, Kinsley, Olivia\"\ne15359,2014/07/07,late in the evening,36,\"Avery, Piper, Claire, Rylee\"\ne15366,2014/07/08,in the morning,37,\"Lydia, Claire, Rylee, Layla\"\ne15367,2014/07/08,in the late afternoon,25,\"Lydia, Layla, Kinsley\"\ne15374,2014/07/09,in the early evening,5,\"Layla, Eva, Piper, Nora\"\ne15375,2014/07/09,in the late afternoon,7,\"Piper, Avery\"\ne15376,2014/07/09,in the late afternoon,42,\"Rylee, Hazel, Kinsley, Nevaeh\"\ne15383,2014/07/10,in the morning,28,\"Olivia, Claire, Lydia, Avery\"\ne15384,2014/07/10,in the morning,35,\"Layla, Nevaeh, Hazel, Nora\"\ne15385,2014/07/10,in the early evening,45,\"Hazel, Eva\"\ne15392,2014/07/11,in the late afternoon,6,\"Kinsley, Piper\"\ne15393,2014/07/11,in the late afternoon,24,\"Piper, Eva, Nora\"\ne15394,2014/07/11,in the early afternoon,34,\"Hazel, Olivia\"\ne15395,2014/07/11,in the late afternoon,54,\"Piper, Olivia\"\ne15402,2014/07/12,in the early evening,30,\"Layla, Lydia, Hazel, Piper\"\ne15403,2014/07/12,during lunch hours,11,\"Piper, Lydia, Hazel\"\ne15410,2014/07/13,during lunch hours,34,\"Nevaeh, Olivia, Lydia, Piper\"\ne15411,2014/07/13,in the late afternoon,46,\"Hazel, Eva, Piper\"\ne15418,2014/07/14,in the late afternoon,44,\"Hazel, Rylee\"\ne15419,2014/07/14,during lunch hours,8,\"Lydia, Piper, Nora\"\ne15426,2014/07/15,late in the evening,49,\"Lydia, Rylee, Hazel\"\ne15427,2014/07/15,in the morning,34,\"Layla, Piper\"\ne15428,2014/07/15,late in the evening,45,Nevaeh\ne15435,2014/07/16,during lunch hours,18,Lydia\ne15436,2014/07/16,late in the evening,51,\"Piper, Kinsley\"\ne15437,2014/07/16,in the early afternoon,11,\"Hazel, Avery\"\ne15443,2014/07/17,in the early evening,6,Lydia\ne15444,2014/07/17,in the early afternoon,31,Piper\ne15451,2014/07/18,during lunch hours,29,\"Layla, Rylee, Claire\"\ne15452,2014/07/18,in the early afternoon,49,\"Nevaeh, Eva\"\ne15453,2014/07/18,in the early afternoon,52,\"Rylee, Claire, Piper\"\ne15460,2014/07/19,in the morning,47,\"Piper, Avery, Olivia, Nora\"\ne15467,2014/07/20,in the early afternoon,5,\"Lydia, Kinsley\"\ne15468,2014/07/20,late in the evening,26,\"Nora, Eva, Rylee, Lydia\"\ne15469,2014/07/20,late in the evening,54,Piper\ne15476,2014/07/21,in the early afternoon,36,\"Rylee, Layla\"\ne15477,2014/07/21,in the early evening,11,\"Eva, Avery\"\ne15478,2014/07/21,in the early evening,44,\"Hazel, Avery, Piper, Rylee\"\ne15485,2014/07/22,in the early evening,30,\"Lydia, Layla\"\ne15486,2014/07/22,late in the evening,51,\"Hazel, Piper, Piper, Kinsley\"\ne15487,2014/07/22,in the late afternoon,40,Layla\ne15494,2014/07/23,late in the evening,46,\"Lydia, Nora\"\ne15495,2014/07/23,in the early evening,14,\"Eva, Piper\"\ne15502,2014/07/24,in the late afternoon,50,Avery\ne15503,2014/07/24,in the early evening,12,\"Nevaeh, Claire, Rylee, Layla\"\ne15509,2014/07/25,during lunch hours,22,\"Rylee, Layla\"\ne15510,2014/07/25,in the early evening,17,\"Rylee, Hazel, Piper\"\ne15511,2014/07/25,in the late afternoon,13,\"Avery, Eva, Layla\"\ne15518,2014/07/26,in the late afternoon,52,\"Nevaeh, Rylee\"\ne15519,2014/07/26,in the morning,48,Rylee\ne15526,2014/07/27,in the early afternoon,6,Eva\ne15527,2014/07/27,late in the evening,5,\"Nora, Kinsley\"\ne15528,2014/07/27,in the early afternoon,27,\"Piper, Olivia\"\ne15535,2014/07/28,during lunch hours,43,\"Kinsley, Rylee, Olivia\"\ne15536,2014/07/28,in the late afternoon,14,\"Nora, Hazel, Rylee, Claire\"\ne15537,2014/07/28,in the late afternoon,15,\"Hazel, Layla, Kinsley\"\ne15544,2014/07/29,in the early evening,10,\"Avery, Piper\"\ne15545,2014/07/29,in the early evening,18,\"Rylee, Claire\"\ne15546,2014/07/29,in the early afternoon,6,\"Eva, Kinsley, Claire, Layla\"\ne15553,2014/07/30,in the morning,16,\"Hazel, Avery, Nora\"\ne15554,2014/07/30,in the morning,21,\"Lydia, Kinsley, Eva, Layla\"\ne15561,2014/07/31,late in the evening,5,\"Kinsley, Nora\"\ne15562,2014/07/31,in the early afternoon,32,\"Lydia, Rylee\"\ne15563,2014/07/31,in the late afternoon,42,\"Kinsley, Claire, Piper, Rylee\"\ne15570,2014/08/01,in the early evening,47,Kinsley\ne15571,2014/08/01,in the morning,47,\"Hazel, Nevaeh\"\ne15572,2014/08/01,in the early evening,6,\"Nora, Rylee\"\ne15579,2014/08/02,in the early evening,41,\"Olivia, Lydia\"\ne15580,2014/08/02,in the late afternoon,50,\"Hazel, Nora, Claire, Olivia\"\ne15581,2014/08/02,in the early evening,50,\"Eva, Piper, Rylee\"\ne15588,2014/08/03,in the late afternoon,23,\"Piper, Nevaeh, Rylee\"\ne15589,2014/08/03,in the late afternoon,40,Hazel\ne15596,2014/08/04,during lunch hours,13,Nevaeh\ne15597,2014/08/04,in the early afternoon,26,\"Piper, Avery, Nora, Lydia\"\ne15604,2014/08/05,late in the evening,27,\"Lydia, Layla, Piper, Avery\"\ne15605,2014/08/05,during lunch hours,53,\"Layla, Piper, Kinsley, Olivia\"\ne15606,2014/08/05,in the early evening,18,Kinsley\ne15613,2014/08/06,in the early afternoon,38,\"Piper, Kinsley, Nevaeh\"\ne15614,2014/08/06,during lunch hours,30,\"Piper, Piper, Layla\"\ne15615,2014/08/06,in the morning,43,\"Layla, Olivia, Nora\"\ne15622,2014/08/07,in the morning,32,\"Claire, Piper, Kinsley, Eva\"\ne15623,2014/08/07,late in the evening,53,Hazel\ne15624,2014/08/07,in the morning,15,Claire\ne15631,2014/08/08,in the early afternoon,55,\"Nevaeh, Hazel, Piper\"\ne15632,2014/08/08,in the early afternoon,14,\"Olivia, Nevaeh, Hazel\"\ne15633,2014/08/08,in the early evening,26,Piper\ne15634,2014/08/08,late in the evening,39,Piper\ne15641,2014/08/09,in the morning,21,Avery\ne15648,2014/08/10,late in the evening,10,\"Kinsley, Nevaeh, Rylee\"\ne15655,2014/08/11,during lunch hours,27,\"Avery, Hazel, Piper\"\ne15656,2014/08/11,late in the evening,45,\"Nora, Claire, Hazel, Rylee\"\ne15657,2014/08/11,in the morning,15,\"Lydia, Hazel\"\ne15663,2014/08/12,in the early afternoon,17,\"Nevaeh, Olivia, Layla, Avery\"\ne15664,2014/08/12,during lunch hours,30,\"Eva, Nevaeh, Olivia\"\ne15665,2014/08/12,late in the evening,54,Rylee\ne15666,2014/08/12,in the morning,38,Nevaeh\ne15673,2014/08/13,in the late afternoon,18,\"Nevaeh, Kinsley\"\ne15674,2014/08/13,in the early afternoon,24,\"Piper, Claire, Rylee, Eva\"\ne15675,2014/08/13,in the early afternoon,40,\"Olivia, Claire, Layla\"\ne15676,2014/08/13,late in the evening,39,\"Piper, Layla, Kinsley\"\ne15683,2014/08/14,in the morning,50,Piper\ne15684,2014/08/14,in the morning,53,\"Avery, Piper, Layla, Kinsley\"\ne15685,2014/08/14,in the early evening,39,\"Avery, Rylee\"\ne15692,2014/08/15,in the early evening,18,\"Eva, Avery, Piper\"\ne15693,2014/08/15,in the morning,55,Eva\ne15700,2014/08/16,during lunch hours,14,\"Nevaeh, Lydia, Claire\"\ne15701,2014/08/16,late in the evening,48,\"Lydia, Rylee\"\ne15708,2014/08/17,during lunch hours,11,Layla\ne15709,2014/08/17,late in the evening,55,\"Claire, Rylee, Eva, Lydia\"\ne15716,2014/08/18,in the morning,46,\"Avery, Nora, Piper, Nevaeh\"\ne15717,2014/08/18,late in the evening,24,\"Rylee, Nora\"\ne15723,2014/08/19,in the early afternoon,35,\"Claire, Nevaeh\"\ne15724,2014/08/19,in the early afternoon,16,\"Lydia, Piper, Avery\"\ne15725,2014/08/19,in the morning,7,Piper\ne15732,2014/08/20,in the early afternoon,48,\"Hazel, Avery\"\ne15733,2014/08/20,in the early afternoon,36,\"Avery, Claire, Nora, Hazel\"\ne15734,2014/08/20,in the morning,9,\"Kinsley, Rylee\"\ne15741,2014/08/21,in the early evening,36,\"Nevaeh, Hazel, Kinsley, Olivia\"\ne15742,2014/08/21,during lunch hours,31,\"Lydia, Eva, Kinsley, Layla\"\ne15743,2014/08/21,during lunch hours,18,\"Piper, Layla, Hazel\"\ne15750,2014/08/22,late in the evening,23,\"Kinsley, Layla\"\ne15751,2014/08/22,in the early evening,15,\"Rylee, Hazel\"\ne15752,2014/08/22,late in the evening,15,\"Nevaeh, Rylee, Olivia, Eva\"\ne15759,2014/08/23,in the early afternoon,49,Avery\ne15760,2014/08/23,late in the evening,13,\"Lydia, Layla, Kinsley\"\ne15767,2014/08/24,in the morning,12,\"Piper, Nora\"\ne15768,2014/08/24,in the morning,34,\"Kinsley, Avery\"\ne15769,2014/08/24,late in the evening,13,\"Avery, Kinsley, Piper, Nora\"\ne15770,2014/08/24,in the late afternoon,34,\"Eva, Nevaeh\"\ne15777,2014/08/25,in the early afternoon,38,\"Eva, Kinsley, Nevaeh\"\ne15778,2014/08/25,in the late afternoon,14,Nora\ne15779,2014/08/25,in the early afternoon,45,\"Claire, Piper, Layla\"\ne15780,2014/08/25,during lunch hours,43,Rylee\ne15787,2014/08/26,during lunch hours,8,\"Kinsley, Nevaeh, Layla\"\ne15788,2014/08/26,late in the evening,38,\"Piper, Lydia, Layla, Nora\"\ne15789,2014/08/26,in the early evening,18,Olivia\ne15796,2014/08/27,in the early evening,18,Piper\ne15797,2014/08/27,in the early afternoon,24,\"Olivia, Nevaeh, Piper\"\ne15798,2014/08/27,in the late afternoon,43,\"Rylee, Olivia, Claire, Nora\"\ne15805,2014/08/28,in the early afternoon,26,\"Hazel, Lydia\"\ne15806,2014/08/28,in the late afternoon,22,Rylee\ne15813,2014/08/29,in the late afternoon,29,\"Nora, Nevaeh, Kinsley, Olivia\"\ne15814,2014/08/29,in the morning,36,\"Layla, Nevaeh\"\ne15815,2014/08/29,in the early evening,16,\"Nevaeh, Lydia\"\ne15822,2014/08/30,in the early afternoon,33,\"Layla, Piper\"\ne15823,2014/08/30,during lunch hours,29,\"Olivia, Kinsley\"\ne15824,2014/08/30,in the early evening,42,\"Kinsley, Hazel, Nora, Nevaeh\"\ne15825,2014/08/30,in the late afternoon,30,\"Rylee, Nora, Eva\"\ne15831,2014/08/31,in the early evening,43,\"Piper, Kinsley, Claire\"\ne15832,2014/08/31,in the morning,54,\"Nevaeh, Olivia, Eva, Avery\"\ne15833,2014/08/31,in the early evening,30,\"Kinsley, Eva, Hazel, Rylee\"\ne15834,2014/08/31,in the early evening,44,\"Avery, Layla\"\ne15840,2014/09/01,late in the evening,19,Olivia\ne15841,2014/09/01,late in the evening,14,\"Olivia, Kinsley, Claire\"\ne15842,2014/09/01,in the morning,18,\"Layla, Hazel, Claire, Avery\"\ne15849,2014/09/02,in the early afternoon,5,\"Lydia, Piper, Rylee\"\ne15850,2014/09/02,in the morning,22,\"Kinsley, Nora\"\ne15857,2014/09/03,in the morning,17,\"Lydia, Olivia\"\ne15858,2014/09/03,in the early evening,38,\"Piper, Hazel\"\ne15859,2014/09/03,in the early afternoon,50,\"Kinsley, Hazel\"\ne15866,2014/09/04,during lunch hours,50,\"Olivia, Piper\"\ne15867,2014/09/04,in the late afternoon,46,Piper\ne15874,2014/09/05,in the early evening,10,\"Eva, Claire, Avery, Piper\"\ne15881,2014/09/06,in the early evening,19,\"Piper, Rylee, Hazel\"\ne15882,2014/09/06,in the early evening,50,Piper\ne15889,2014/09/07,in the early evening,7,\"Claire, Hazel\"\ne15890,2014/09/07,in the early evening,43,Claire\ne15891,2014/09/07,in the late afternoon,30,\"Nora, Olivia, Avery\"\ne15898,2014/09/08,late in the evening,46,\"Kinsley, Lydia, Claire, Piper\"\ne15899,2014/09/08,during lunch hours,18,Layla\ne15900,2014/09/08,in the morning,31,\"Rylee, Kinsley, Piper, Eva\"\ne15901,2014/09/08,during lunch hours,28,\"Olivia, Layla, Hazel, Nora\"\ne15908,2014/09/09,during lunch hours,46,\"Eva, Nevaeh, Claire, Lydia\"\ne15909,2014/09/09,during lunch hours,22,\"Nevaeh, Lydia, Rylee\"\ne15916,2014/09/10,in the morning,5,\"Nevaeh, Rylee, Layla\"\ne15917,2014/09/10,late in the evening,46,\"Olivia, Rylee, Lydia, Piper\"\ne15918,2014/09/10,in the morning,10,\"Kinsley, Claire, Olivia\"\ne15925,2014/09/11,during lunch hours,41,Nevaeh\ne15926,2014/09/11,in the late afternoon,38,\"Eva, Piper\"\ne15927,2014/09/11,in the morning,30,Piper\ne15934,2014/09/12,during lunch hours,40,\"Piper, Hazel, Piper\"\ne15935,2014/09/12,during lunch hours,28,Kinsley\ne15936,2014/09/12,in the morning,19,\"Rylee, Nora, Layla\"\ne15942,2014/09/13,in the late afternoon,17,\"Avery, Kinsley\"\ne15943,2014/09/13,in the late afternoon,42,\"Avery, Layla, Claire, Kinsley\"\ne15944,2014/09/13,in the early evening,47,Kinsley\ne15951,2014/09/14,late in the evening,45,\"Layla, Kinsley, Olivia, Nevaeh\"\ne15952,2014/09/14,during lunch hours,40,\"Kinsley, Claire, Piper, Avery\"\ne15959,2014/09/15,in the early evening,53,\"Piper, Layla\"\ne15960,2014/09/15,in the early evening,47,\"Layla, Olivia\"\ne15961,2014/09/15,in the morning,26,\"Hazel, Nora, Rylee, Eva\"\ne15962,2014/09/15,late in the evening,41,\"Rylee, Nevaeh, Eva, Lydia\"\ne15969,2014/09/16,in the early afternoon,43,Piper\ne15970,2014/09/16,during lunch hours,42,\"Hazel, Olivia, Claire, Nevaeh\"\ne15971,2014/09/16,late in the evening,36,Nora\ne15978,2014/09/17,in the morning,32,\"Rylee, Layla, Nevaeh, Olivia\"\ne15979,2014/09/17,late in the evening,51,\"Kinsley, Nora, Piper, Avery\"\ne15980,2014/09/17,in the morning,48,\"Layla, Rylee\"\ne15986,2014/09/18,during lunch hours,31,\"Rylee, Avery, Hazel, Claire\"\ne15987,2014/09/18,in the early afternoon,17,\"Nevaeh, Layla, Eva\"\ne15988,2014/09/18,late in the evening,42,Nora\ne15989,2014/09/18,in the early afternoon,40,\"Olivia, Piper, Nora\"\ne15996,2014/09/19,during lunch hours,33,\"Hazel, Piper, Avery\"\ne15997,2014/09/19,in the morning,42,Rylee\ne15998,2014/09/19,in the early evening,31,\"Claire, Piper\"\ne16005,2014/09/20,in the late afternoon,26,\"Piper, Avery, Rylee, Piper\"\ne16006,2014/09/20,in the early afternoon,19,\"Layla, Claire, Piper\"\ne16007,2014/09/20,during lunch hours,37,\"Olivia, Piper, Avery\"\ne16008,2014/09/20,in the early evening,22,Hazel\ne16015,2014/09/21,during lunch hours,24,\"Nora, Nevaeh\"\ne16016,2014/09/21,in the late afternoon,26,\"Nora, Layla, Eva\"\ne16023,2014/09/22,in the morning,18,Piper\ne16024,2014/09/22,during lunch hours,27,\"Nevaeh, Lydia, Nora\"\ne16031,2014/09/23,in the late afternoon,31,\"Nora, Olivia, Rylee\"\ne16032,2014/09/23,in the early afternoon,43,\"Olivia, Piper, Eva\"\ne16039,2014/09/24,during lunch hours,18,\"Rylee, Claire, Nevaeh, Lydia\"\ne16040,2014/09/24,in the early afternoon,52,\"Lydia, Nora, Olivia\"\ne16041,2014/09/24,in the early afternoon,41,Eva\ne16042,2014/09/24,in the early evening,30,\"Piper, Nevaeh, Avery, Olivia\"\ne16048,2014/09/25,late in the evening,25,\"Rylee, Layla\"\ne16049,2014/09/25,in the early afternoon,46,Hazel\ne16050,2014/09/25,during lunch hours,43,\"Avery, Eva\"\ne16057,2014/09/26,during lunch hours,22,\"Olivia, Layla\"\ne16058,2014/09/26,in the late afternoon,19,\"Nora, Claire, Hazel\"\ne16059,2014/09/26,in the morning,38,\"Hazel, Kinsley, Nevaeh, Claire\"\ne16060,2014/09/26,in the morning,5,Nevaeh\ne16067,2014/09/27,in the early afternoon,9,Eva\ne16068,2014/09/27,in the early evening,25,Eva\ne16075,2014/09/28,during lunch hours,53,\"Eva, Rylee, Kinsley, Nevaeh\"\ne16076,2014/09/28,late in the evening,38,\"Claire, Eva, Piper, Nevaeh\"\ne16077,2014/09/28,during lunch hours,35,\"Rylee, Piper, Nevaeh, Eva\"\ne16084,2014/09/29,in the early evening,38,\"Hazel, Piper, Lydia\"\ne16085,2014/09/29,late in the evening,20,\"Rylee, Lydia, Piper\"\ne16086,2014/09/29,in the early afternoon,15,\"Layla, Lydia, Hazel\"\ne16093,2014/09/30,in the late afternoon,24,\"Nevaeh, Hazel, Piper, Rylee\"\ne16094,2014/09/30,in the early afternoon,18,\"Layla, Lydia\"\ne16095,2014/09/30,late in the evening,8,Claire\ne16102,2014/10/01,in the morning,12,\"Nora, Rylee, Layla, Nevaeh\"\ne16103,2014/10/01,in the early afternoon,34,Kinsley\ne16110,2014/10/02,late in the evening,34,\"Lydia, Piper, Rylee\"\ne16111,2014/10/02,late in the evening,16,\"Layla, Lydia\"\ne16112,2014/10/02,during lunch hours,34,\"Hazel, Eva, Claire\"\ne16119,2014/10/03,late in the evening,37,\"Layla, Olivia, Nevaeh\"\ne16120,2014/10/03,in the morning,7,\"Piper, Kinsley, Avery\"\ne16121,2014/10/03,in the late afternoon,44,\"Claire, Rylee, Olivia\"\ne16128,2014/10/04,in the early evening,20,\"Avery, Olivia, Kinsley\"\ne16129,2014/10/04,in the morning,49,Piper\ne16135,2014/10/05,during lunch hours,31,\"Avery, Piper, Hazel\"\ne16136,2014/10/05,in the early evening,13,Layla\ne16137,2014/10/05,in the early evening,55,\"Hazel, Piper\"\ne16138,2014/10/05,late in the evening,38,\"Layla, Olivia\"\ne16145,2014/10/06,late in the evening,44,\"Olivia, Kinsley, Nora, Lydia\"\ne16146,2014/10/06,late in the evening,52,\"Hazel, Layla, Avery\"\ne16147,2014/10/06,in the late afternoon,44,Olivia\ne16154,2014/10/07,in the early afternoon,52,Rylee\ne16155,2014/10/07,in the late afternoon,47,\"Lydia, Nevaeh\"\ne16162,2014/10/08,in the morning,29,\"Piper, Olivia, Eva, Kinsley\"\ne16163,2014/10/08,during lunch hours,32,\"Eva, Rylee, Olivia, Avery\"\ne16164,2014/10/08,in the early evening,49,\"Lydia, Nevaeh\"\ne16171,2014/10/09,late in the evening,16,\"Hazel, Rylee, Olivia, Piper\"\ne16172,2014/10/09,in the early afternoon,22,\"Lydia, Nora\"\ne16179,2014/10/10,late in the evening,17,\"Eva, Piper\"\ne16180,2014/10/10,late in the evening,38,\"Piper, Olivia\"\ne16181,2014/10/10,in the early afternoon,36,\"Layla, Claire\"\ne16187,2014/10/11,in the early evening,52,\"Olivia, Nora, Piper\"\ne16188,2014/10/11,in the late afternoon,7,Eva\ne16195,2014/10/12,during lunch hours,45,\"Hazel, Piper, Nevaeh\"\ne16196,2014/10/12,in the morning,21,\"Nevaeh, Layla, Kinsley\"\ne16203,2014/10/13,late in the evening,52,\"Hazel, Avery, Layla, Lydia\"\ne16204,2014/10/13,in the morning,47,Piper\ne16211,2014/10/14,in the early afternoon,35,Piper\ne16212,2014/10/14,in the morning,48,\"Piper, Kinsley\"\ne16213,2014/10/14,in the early afternoon,33,Nevaeh\ne16220,2014/10/15,in the early afternoon,15,\"Piper, Avery\"\ne16227,2014/10/16,during lunch hours,52,\"Eva, Olivia, Lydia\"\ne16228,2014/10/16,during lunch hours,36,Avery\ne16229,2014/10/16,in the morning,7,\"Eva, Claire, Nora, Avery\"\ne16236,2014/10/17,late in the evening,15,\"Avery, Rylee, Lydia\"\ne16237,2014/10/17,in the early evening,32,\"Piper, Hazel, Nevaeh, Lydia\"\ne16238,2014/10/17,in the morning,21,\"Lydia, Avery\"\ne16245,2014/10/18,during lunch hours,25,\"Layla, Kinsley, Claire\"\ne16246,2014/10/18,during lunch hours,23,\"Hazel, Piper, Claire, Nevaeh\"\ne16247,2014/10/18,in the late afternoon,15,Layla\ne16254,2014/10/19,in the late afternoon,46,\"Avery, Kinsley, Piper, Lydia\"\ne16255,2014/10/19,during lunch hours,41,\"Eva, Nora, Layla, Hazel\"\ne16256,2014/10/19,in the late afternoon,51,\"Claire, Olivia, Avery, Piper\"\ne16263,2014/10/20,late in the evening,45,\"Piper, Rylee\"\ne16264,2014/10/20,during lunch hours,33,Nora\ne16265,2014/10/20,during lunch hours,37,Hazel\ne16272,2014/10/21,during lunch hours,5,Olivia\ne16273,2014/10/21,in the late afternoon,9,\"Hazel, Claire, Piper\"\ne16274,2014/10/21,late in the evening,30,\"Piper, Piper, Layla\"\ne16281,2014/10/22,during lunch hours,28,\"Lydia, Piper, Layla\"\ne16282,2014/10/22,late in the evening,43,Claire\ne16289,2014/10/23,in the morning,48,\"Olivia, Hazel\"\ne16290,2014/10/23,in the late afternoon,52,\"Kinsley, Layla, Nora\"\ne16291,2014/10/23,during lunch hours,36,\"Lydia, Rylee\"\ne16298,2014/10/24,during lunch hours,41,Claire\ne16299,2014/10/24,during lunch hours,52,\"Nevaeh, Lydia, Piper, Claire\"\ne16300,2014/10/24,late in the evening,48,\"Kinsley, Piper, Rylee, Piper\"\ne16307,2014/10/25,in the morning,12,Nora\ne16308,2014/10/25,in the early afternoon,46,Rylee\ne16309,2014/10/25,in the early evening,53,Layla\ne16316,2014/10/26,in the morning,27,Eva\ne16317,2014/10/26,in the early afternoon,22,\"Piper, Claire, Piper, Hazel\"\ne16324,2014/10/27,during lunch hours,54,\"Layla, Piper\"\ne16325,2014/10/27,in the late afternoon,11,Nevaeh\ne16326,2014/10/27,in the early evening,45,\"Layla, Eva\"\ne16333,2014/10/28,in the early afternoon,54,\"Kinsley, Nevaeh\"\ne16334,2014/10/28,in the morning,10,\"Hazel, Rylee, Piper\"\ne16335,2014/10/28,in the early afternoon,8,\"Nora, Avery, Piper, Kinsley\"\ne16336,2014/10/28,during lunch hours,32,Piper\ne16343,2014/10/29,late in the evening,9,Layla\ne16350,2014/10/30,late in the evening,9,\"Kinsley, Layla\"\ne16351,2014/10/30,in the morning,19,Nevaeh\ne16358,2014/10/31,late in the evening,29,\"Olivia, Avery, Rylee, Lydia\"\ne16359,2014/10/31,in the late afternoon,31,Lydia\ne16360,2014/10/31,in the early afternoon,27,Olivia\ne16361,2014/10/31,in the morning,43,Eva\ne16368,2014/11/01,in the late afternoon,25,\"Olivia, Layla, Eva, Piper\"\ne16369,2014/11/01,during lunch hours,51,\"Kinsley, Rylee, Claire\"\ne16370,2014/11/01,in the early evening,22,\"Nevaeh, Piper, Lydia\"\ne16377,2014/11/02,in the late afternoon,11,\"Piper, Kinsley, Nevaeh\"\ne16378,2014/11/02,in the early evening,49,\"Nora, Avery, Nevaeh, Claire\"\ne16385,2014/11/03,in the early evening,12,\"Avery, Eva\"\ne16386,2014/11/03,in the early afternoon,54,\"Piper, Kinsley, Nora\"\ne16387,2014/11/03,late in the evening,48,\"Piper, Piper, Hazel, Eva\"\ne16394,2014/11/04,in the morning,46,\"Piper, Layla\"\ne16395,2014/11/04,in the early afternoon,32,\"Claire, Nevaeh, Piper, Kinsley\"\ne16396,2014/11/04,during lunch hours,8,Kinsley\ne16397,2014/11/04,late in the evening,51,\"Rylee, Layla\"\ne16404,2014/11/05,during lunch hours,41,\"Olivia, Kinsley, Rylee\"\ne16405,2014/11/05,in the early afternoon,17,\"Layla, Claire, Piper\"\ne16406,2014/11/05,in the late afternoon,51,\"Piper, Nevaeh, Olivia, Nora\"\ne16413,2014/11/06,late in the evening,34,Rylee\ne16414,2014/11/06,late in the evening,54,\"Rylee, Layla\"\ne16421,2014/11/07,in the morning,14,\"Hazel, Nevaeh\"\ne16422,2014/11/07,in the morning,16,\"Rylee, Nora, Avery\"\ne16429,2014/11/08,in the early evening,51,\"Nora, Piper, Layla\"\ne16430,2014/11/08,in the early evening,42,\"Eva, Piper, Claire\"\ne16437,2014/11/09,during lunch hours,23,Olivia\ne16438,2014/11/09,late in the evening,45,\"Nevaeh, Layla\"\ne16439,2014/11/09,in the morning,47,\"Kinsley, Olivia\"\ne16440,2014/11/09,in the morning,28,\"Claire, Nora, Rylee, Olivia\"\ne16447,2014/11/10,during lunch hours,46,Avery\ne16448,2014/11/10,in the early afternoon,23,\"Lydia, Layla\"\ne16449,2014/11/10,in the morning,44,\"Lydia, Piper\"\ne16450,2014/11/10,in the late afternoon,36,\"Kinsley, Nevaeh\"\ne16457,2014/11/11,in the early evening,39,\"Eva, Nevaeh, Hazel\"\ne16458,2014/11/11,in the early evening,40,\"Claire, Layla, Olivia\"\ne16459,2014/11/11,in the early evening,31,Nevaeh\ne16466,2014/11/12,in the morning,32,Claire\ne16467,2014/11/12,in the morning,33,\"Hazel, Nevaeh, Nora\"\ne16474,2014/11/13,in the early evening,27,Kinsley\ne16475,2014/11/13,in the early afternoon,44,Nevaeh\ne16482,2014/11/14,in the early afternoon,9,Avery\ne16483,2014/11/14,in the early evening,6,\"Nevaeh, Kinsley\"\ne16484,2014/11/14,in the early evening,18,\"Claire, Nevaeh, Rylee\"\ne16491,2014/11/15,in the early evening,29,\"Hazel, Claire, Eva, Rylee\"\ne16492,2014/11/15,in the early evening,25,\"Avery, Claire, Layla\"\ne16493,2014/11/15,during lunch hours,14,\"Avery, Olivia, Eva\"\ne16500,2014/11/16,during lunch hours,21,\"Olivia, Claire, Layla, Hazel\"\ne16501,2014/11/16,late in the evening,25,\"Hazel, Layla\"\ne16502,2014/11/16,in the morning,42,Eva\ne16509,2014/11/17,in the late afternoon,11,Hazel\ne16510,2014/11/17,in the early evening,52,\"Lydia, Avery, Rylee, Piper\"\ne16517,2014/11/18,during lunch hours,55,\"Lydia, Nora, Avery\"\ne16518,2014/11/18,during lunch hours,53,\"Claire, Piper, Nora, Eva\"\ne16525,2014/11/19,in the early evening,40,Kinsley\ne16531,2014/11/20,in the morning,30,\"Layla, Piper, Olivia, Claire\"\ne16532,2014/11/20,in the morning,34,\"Avery, Kinsley\"\ne16533,2014/11/20,in the early afternoon,9,\"Nevaeh, Piper, Kinsley\"\ne16540,2014/11/21,in the late afternoon,25,\"Layla, Piper\"\ne16541,2014/11/21,in the late afternoon,41,Olivia\ne16548,2014/11/22,in the morning,52,\"Avery, Claire, Eva\"\ne16549,2014/11/22,during lunch hours,39,\"Lydia, Piper, Layla\"\ne16556,2014/11/23,in the late afternoon,38,\"Nora, Nevaeh\"\ne16557,2014/11/23,in the morning,52,\"Hazel, Nevaeh\"\ne16564,2014/11/24,during lunch hours,16,\"Piper, Rylee, Avery\"\ne16565,2014/11/24,in the morning,50,\"Hazel, Piper, Eva, Olivia\"\ne16566,2014/11/24,in the morning,33,\"Lydia, Kinsley, Nora\"\ne16573,2014/11/25,late in the evening,46,\"Eva, Hazel, Piper\"\ne16574,2014/11/25,in the late afternoon,30,\"Claire, Olivia\"\ne16575,2014/11/25,in the morning,32,\"Lydia, Piper, Hazel, Claire\"\ne16576,2014/11/25,in the late afternoon,24,\"Claire, Piper, Hazel, Rylee\"\ne16583,2014/11/26,in the early evening,30,\"Lydia, Piper\"\ne16584,2014/11/26,in the early evening,34,\"Lydia, Olivia, Hazel, Piper\"\ne16591,2014/11/27,during lunch hours,16,Hazel\ne16592,2014/11/27,in the early afternoon,32,Nora\ne16593,2014/11/27,in the late afternoon,24,\"Piper, Claire\"\ne16600,2014/11/28,late in the evening,8,Olivia\ne16601,2014/11/28,in the morning,22,\"Piper, Layla, Nevaeh, Lydia\"\ne16602,2014/11/28,in the early evening,8,\"Piper, Avery\"\ne16609,2014/11/29,in the early afternoon,5,\"Claire, Piper, Eva\"\ne16610,2014/11/29,in the morning,13,\"Nora, Eva, Avery, Piper\"\ne16617,2014/11/30,during lunch hours,14,\"Olivia, Piper, Kinsley\"\ne16618,2014/11/30,in the early evening,34,\"Kinsley, Hazel, Piper, Rylee\"\ne16619,2014/11/30,late in the evening,54,\"Nevaeh, Avery, Rylee, Piper\"\ne16620,2014/11/30,in the early afternoon,31,\"Kinsley, Lydia\"\ne16626,2014/12/01,in the late afternoon,52,\"Claire, Nevaeh\"\ne16627,2014/12/01,during lunch hours,24,\"Olivia, Kinsley, Nevaeh\"\ne16628,2014/12/01,late in the evening,39,\"Nevaeh, Eva, Olivia\"\ne16635,2014/12/02,in the early afternoon,21,Eva\ne16636,2014/12/02,in the morning,45,Hazel\ne16643,2014/12/03,in the early evening,26,\"Olivia, Layla, Hazel\"\ne16644,2014/12/03,late in the evening,10,\"Hazel, Kinsley\"\ne16651,2014/12/04,in the late afternoon,22,\"Nora, Layla\"\ne16652,2014/12/04,late in the evening,25,Lydia\ne16653,2014/12/04,in the early evening,38,\"Hazel, Layla\"\ne16654,2014/12/04,late in the evening,27,Lydia\ne16661,2014/12/05,in the early afternoon,43,\"Lydia, Nevaeh, Rylee, Olivia\"\ne16662,2014/12/05,late in the evening,19,Eva\ne16669,2014/12/06,in the morning,48,Olivia\ne16670,2014/12/06,during lunch hours,15,\"Olivia, Eva\"\ne16677,2014/12/07,in the morning,47,Kinsley\ne16678,2014/12/07,in the morning,53,\"Nevaeh, Rylee, Lydia, Layla\"\ne16679,2014/12/07,in the early evening,51,\"Piper, Olivia, Lydia\"\ne16685,2014/12/08,in the early evening,13,\"Lydia, Hazel\"\ne16686,2014/12/08,during lunch hours,52,\"Olivia, Nora\"\ne16687,2014/12/08,in the early evening,22,Layla\ne16694,2014/12/09,in the late afternoon,17,Piper\ne16695,2014/12/09,in the early evening,16,\"Claire, Piper, Layla\"\ne16702,2014/12/10,in the late afternoon,24,\"Avery, Hazel, Layla\"\ne16703,2014/12/10,in the morning,36,\"Rylee, Piper\"\ne16704,2014/12/10,late in the evening,42,Claire\ne16711,2014/12/11,late in the evening,34,\"Olivia, Kinsley\"\ne16712,2014/12/11,during lunch hours,53,\"Hazel, Lydia, Claire\"\ne16713,2014/12/11,in the early evening,45,\"Hazel, Eva, Nora\"\ne16714,2014/12/11,in the late afternoon,50,\"Lydia, Nora, Claire\"\ne16721,2014/12/12,in the early afternoon,33,\"Lydia, Hazel\"\ne16722,2014/12/12,in the morning,44,Avery\ne16723,2014/12/12,in the early afternoon,43,\"Olivia, Rylee, Eva, Piper\"\ne16730,2014/12/13,in the early evening,7,\"Rylee, Eva\"\ne16731,2014/12/13,in the early afternoon,18,Avery\ne16738,2014/12/14,during lunch hours,20,Piper\ne16739,2014/12/14,in the morning,41,\"Hazel, Piper, Eva\"\ne16740,2014/12/14,during lunch hours,32,\"Piper, Claire\"\ne16747,2014/12/15,in the late afternoon,51,\"Lydia, Rylee\"\ne16748,2014/12/15,in the morning,39,Kinsley\ne16749,2014/12/15,in the late afternoon,46,Piper\ne16756,2014/12/16,late in the evening,27,Piper\ne16757,2014/12/16,in the late afternoon,12,\"Layla, Nora, Piper, Rylee\"\ne16758,2014/12/16,in the early evening,52,Nevaeh\ne16765,2014/12/17,in the early afternoon,40,\"Eva, Piper, Kinsley\"\ne16766,2014/12/17,in the early evening,46,\"Layla, Avery, Hazel\"\ne16767,2014/12/17,in the early afternoon,52,\"Nora, Nevaeh, Olivia\"\ne16774,2014/12/18,in the early evening,13,\"Kinsley, Nora, Piper, Olivia\"\ne16775,2014/12/18,during lunch hours,36,\"Avery, Nevaeh, Lydia, Layla\"\ne16782,2014/12/19,in the early afternoon,8,\"Hazel, Lydia, Avery, Claire\"\ne16783,2014/12/19,during lunch hours,29,\"Layla, Rylee\"\ne16784,2014/12/19,in the early afternoon,21,\"Claire, Piper, Eva, Olivia\"\ne16791,2014/12/20,in the late afternoon,17,\"Olivia, Piper, Layla\"\ne16792,2014/12/20,in the late afternoon,30,\"Avery, Piper, Nevaeh, Lydia\"\ne16793,2014/12/20,in the early afternoon,42,\"Nora, Nevaeh, Claire, Olivia\"\ne16794,2014/12/20,during lunch hours,52,\"Hazel, Nevaeh\"\ne16801,2014/12/21,during lunch hours,5,\"Olivia, Layla, Nora, Nevaeh\"\ne16802,2014/12/21,during lunch hours,27,\"Lydia, Kinsley, Hazel\"\ne16803,2014/12/21,in the early afternoon,27,\"Rylee, Kinsley, Claire\"\ne16804,2014/12/21,late in the evening,12,\"Claire, Kinsley, Hazel, Layla\"\ne16811,2014/12/22,in the early evening,21,\"Avery, Piper\"\ne16812,2014/12/22,in the early afternoon,22,Olivia\ne16819,2014/12/23,in the early evening,33,Piper\ne16826,2014/12/24,in the morning,11,\"Kinsley, Hazel\"\ne16827,2014/12/24,in the morning,26,\"Olivia, Lydia\"\ne16828,2014/12/24,in the early evening,28,\"Nora, Hazel, Lydia, Piper\"\ne16829,2014/12/24,in the early afternoon,23,\"Rylee, Layla, Kinsley\"\ne16836,2014/12/25,in the early afternoon,39,\"Layla, Kinsley, Hazel, Nevaeh\"\ne16837,2014/12/25,in the early evening,16,\"Claire, Hazel\"\ne16838,2014/12/25,in the early evening,40,Layla\ne16844,2014/12/26,in the early evening,20,Piper\ne16845,2014/12/26,in the early afternoon,20,\"Lydia, Layla, Piper, Hazel\"\ne16846,2014/12/26,in the late afternoon,39,\"Layla, Nora, Olivia, Nevaeh\"\ne16853,2014/12/27,in the early afternoon,13,\"Nevaeh, Avery\"\ne16854,2014/12/27,in the morning,23,\"Hazel, Avery, Layla\"\ne16855,2014/12/27,in the early afternoon,27,Nevaeh\ne16862,2014/12/28,during lunch hours,16,Nevaeh\ne16868,2014/12/29,in the early afternoon,10,\"Hazel, Kinsley, Lydia\"\ne16869,2014/12/29,late in the evening,19,\"Claire, Hazel\"\ne16870,2014/12/29,in the morning,16,\"Nora, Claire\"\ne16877,2014/12/30,in the late afternoon,10,\"Kinsley, Rylee, Piper\"\ne16878,2014/12/30,during lunch hours,31,Kinsley\ne16885,2014/12/31,in the morning,49,\"Nevaeh, Nora, Claire\"\ne16886,2014/12/31,in the late afternoon,50,Rylee\ne16887,2014/12/31,in the early evening,54,\"Nora, Hazel\"\ne17090,2015/01/01,in the early evening,22,Eva\ne17091,2015/01/01,in the early afternoon,44,\"Eva, Avery\"\ne17092,2015/01/01,in the late afternoon,44,Piper\ne17098,2015/01/02,during lunch hours,47,\"Piper, Eva, Claire\"\ne17105,2015/01/03,late in the evening,46,\"Nevaeh, Nora, Claire\"\ne17112,2015/01/04,in the early afternoon,45,\"Rylee, Piper\"\ne17113,2015/01/04,in the early afternoon,37,\"Nevaeh, Kinsley\"\ne17114,2015/01/04,in the late afternoon,47,Avery\ne17121,2015/01/05,late in the evening,47,\"Piper, Kinsley, Nevaeh, Nora\"\ne17122,2015/01/05,during lunch hours,22,\"Piper, Rylee\"\ne17123,2015/01/05,in the early evening,34,\"Piper, Nora, Eva\"\ne17130,2015/01/06,during lunch hours,38,\"Nora, Lydia, Piper\"\ne17131,2015/01/06,in the early evening,22,\"Nora, Avery, Rylee\"\ne17132,2015/01/06,late in the evening,10,\"Piper, Olivia\"\ne17139,2015/01/07,in the late afternoon,49,Kinsley\ne17140,2015/01/07,in the late afternoon,14,Rylee\ne17141,2015/01/07,during lunch hours,45,\"Layla, Olivia\"\ne17148,2015/01/08,in the early evening,39,\"Piper, Lydia, Claire, Olivia\"\ne17149,2015/01/08,in the early evening,11,Piper\ne17150,2015/01/08,in the early evening,37,\"Layla, Claire, Avery\"\ne17157,2015/01/09,in the late afternoon,42,Claire\ne17158,2015/01/09,during lunch hours,54,\"Olivia, Avery, Layla, Hazel\"\ne17165,2015/01/10,during lunch hours,47,\"Nevaeh, Rylee, Nora\"\ne17166,2015/01/10,in the early afternoon,5,\"Layla, Claire, Nora\"\ne17167,2015/01/10,during lunch hours,38,Eva\ne17174,2015/01/11,in the early afternoon,44,Piper\ne17175,2015/01/11,in the early evening,13,\"Avery, Claire\"\ne17181,2015/01/12,late in the evening,41,\"Rylee, Piper, Kinsley, Nevaeh\"\ne17182,2015/01/12,in the morning,14,\"Olivia, Hazel, Claire, Layla\"\ne17183,2015/01/12,in the early afternoon,44,\"Piper, Nora, Eva, Layla\"\ne17184,2015/01/12,in the late afternoon,40,\"Nevaeh, Piper, Eva\"\ne17191,2015/01/13,in the late afternoon,13,\"Nevaeh, Olivia, Rylee, Piper\"\ne17192,2015/01/13,in the early evening,31,Nevaeh\ne17193,2015/01/13,late in the evening,23,\"Piper, Rylee, Claire\"\ne17200,2015/01/14,late in the evening,19,\"Rylee, Olivia\"\ne17201,2015/01/14,in the morning,33,Olivia\ne17202,2015/01/14,late in the evening,37,\"Lydia, Piper, Layla, Avery\"\ne17208,2015/01/15,in the early evening,48,\"Lydia, Rylee\"\ne17209,2015/01/15,late in the evening,5,\"Claire, Piper, Eva\"\ne17215,2015/01/16,during lunch hours,27,\"Avery, Rylee\"\ne17216,2015/01/16,in the late afternoon,24,\"Avery, Piper\"\ne17217,2015/01/16,in the early afternoon,44,\"Rylee, Lydia, Olivia, Piper\"\ne17223,2015/01/17,in the early evening,33,Eva\ne17224,2015/01/17,in the morning,11,\"Piper, Rylee\"\ne17225,2015/01/17,in the late afternoon,48,Eva\ne17231,2015/01/18,in the morning,23,\"Avery, Claire, Kinsley\"\ne17232,2015/01/18,during lunch hours,12,\"Nora, Kinsley\"\ne17233,2015/01/18,in the early evening,31,\"Olivia, Rylee\"\ne17239,2015/01/19,during lunch hours,50,\"Rylee, Nevaeh\"\ne17240,2015/01/19,late in the evening,45,\"Piper, Piper\"\ne17241,2015/01/19,in the morning,17,\"Eva, Avery\"\ne17247,2015/01/20,in the morning,48,\"Nora, Olivia, Nevaeh\"\ne17248,2015/01/20,late in the evening,18,\"Kinsley, Piper\"\ne17249,2015/01/20,in the early evening,28,\"Nora, Kinsley, Rylee\"\ne17255,2015/01/21,during lunch hours,55,\"Kinsley, Hazel, Lydia, Nevaeh\"\ne17256,2015/01/21,in the late afternoon,45,\"Layla, Nora\"\ne17262,2015/01/22,in the early afternoon,18,\"Avery, Rylee, Hazel, Nevaeh\"\ne17263,2015/01/22,in the late afternoon,9,\"Lydia, Claire\"\ne17270,2015/01/23,in the early evening,14,Olivia\ne17271,2015/01/23,during lunch hours,5,Eva\ne17277,2015/01/24,late in the evening,25,\"Avery, Hazel\"\ne17278,2015/01/24,late in the evening,54,\"Avery, Olivia\"\ne17279,2015/01/24,in the early afternoon,52,Olivia\ne17285,2015/01/25,in the late afternoon,50,\"Lydia, Avery\"\ne17286,2015/01/25,in the early afternoon,38,\"Piper, Rylee, Kinsley, Piper\"\ne17287,2015/01/25,in the late afternoon,44,\"Claire, Nevaeh\"\ne17288,2015/01/25,in the early afternoon,50,\"Rylee, Piper, Nora\"\ne17294,2015/01/26,in the early afternoon,6,\"Claire, Rylee, Eva\"\ne17295,2015/01/26,in the late afternoon,15,\"Avery, Nevaeh\"\ne17296,2015/01/26,in the early afternoon,48,\"Kinsley, Avery, Piper, Nora\"\ne17303,2015/01/27,late in the evening,52,\"Nevaeh, Piper, Olivia, Claire\"\ne17304,2015/01/27,late in the evening,49,Piper\ne17311,2015/01/28,in the morning,7,Nora\ne17312,2015/01/28,in the early evening,36,\"Layla, Nevaeh, Hazel, Olivia\"\ne17313,2015/01/28,in the early afternoon,38,\"Lydia, Claire, Eva, Nora\"\ne17320,2015/01/29,in the early afternoon,13,\"Piper, Claire, Eva, Rylee\"\ne17321,2015/01/29,during lunch hours,8,\"Olivia, Eva, Hazel\"\ne17328,2015/01/30,in the morning,54,Rylee\ne17329,2015/01/30,in the late afternoon,25,\"Piper, Nora, Olivia, Nevaeh\"\ne17330,2015/01/30,during lunch hours,22,Kinsley\ne17337,2015/01/31,in the early afternoon,23,Olivia\ne17338,2015/01/31,in the morning,16,\"Rylee, Hazel, Piper, Nora\"\ne17339,2015/01/31,in the early evening,19,Kinsley\ne17340,2015/01/31,in the morning,26,\"Claire, Piper, Layla, Hazel\"\ne17347,2015/02/01,in the early evening,30,Piper\ne17348,2015/02/01,in the early afternoon,26,\"Rylee, Olivia\"\ne17349,2015/02/01,in the morning,44,\"Hazel, Eva\"\ne17356,2015/02/02,during lunch hours,45,\"Piper, Eva, Layla, Lydia\"\ne17357,2015/02/02,in the early afternoon,13,\"Claire, Avery, Piper\"\ne17358,2015/02/02,during lunch hours,39,\"Lydia, Avery, Kinsley\"\ne17365,2015/02/03,during lunch hours,37,\"Eva, Olivia, Hazel, Layla\"\ne17366,2015/02/03,in the late afternoon,22,Kinsley\ne17372,2015/02/04,in the late afternoon,23,\"Olivia, Lydia, Rylee, Avery\"\ne17373,2015/02/04,late in the evening,9,\"Olivia, Layla, Kinsley\"\ne17374,2015/02/04,in the late afternoon,43,\"Olivia, Piper\"\ne17375,2015/02/04,in the early afternoon,26,\"Lydia, Hazel, Avery, Nevaeh\"\ne17382,2015/02/05,during lunch hours,10,\"Rylee, Nevaeh\"\ne17383,2015/02/05,in the early evening,17,\"Kinsley, Eva, Olivia\"\ne17390,2015/02/06,in the morning,35,\"Lydia, Hazel, Nevaeh, Piper\"\ne17391,2015/02/06,late in the evening,48,Piper\ne17392,2015/02/06,in the late afternoon,54,\"Olivia, Eva, Piper\"\ne17393,2015/02/06,during lunch hours,17,\"Piper, Olivia\"\ne17399,2015/02/07,in the early afternoon,36,\"Hazel, Piper\"\ne17400,2015/02/07,in the late afternoon,9,Layla\ne17401,2015/02/07,during lunch hours,15,\"Hazel, Kinsley, Eva\"\ne17408,2015/02/08,in the early afternoon,19,Eva\ne17409,2015/02/08,late in the evening,16,\"Piper, Lydia, Piper, Olivia\"\ne17416,2015/02/09,in the morning,21,\"Nora, Rylee, Avery, Piper\"\ne17417,2015/02/09,late in the evening,23,Avery\ne17418,2015/02/09,during lunch hours,23,Rylee\ne17419,2015/02/09,in the early afternoon,12,Olivia\ne17426,2015/02/10,in the early afternoon,5,\"Layla, Claire, Nevaeh\"\ne17427,2015/02/10,in the morning,38,\"Kinsley, Lydia\"\ne17434,2015/02/11,in the late afternoon,49,\"Piper, Kinsley\"\ne17435,2015/02/11,in the morning,7,\"Layla, Nevaeh\"\ne17436,2015/02/11,in the early afternoon,33,\"Piper, Nevaeh, Lydia\"\ne17443,2015/02/12,in the late afternoon,18,\"Avery, Eva, Claire, Olivia\"\ne17450,2015/02/13,during lunch hours,13,\"Eva, Rylee, Hazel, Kinsley\"\ne17451,2015/02/13,late in the evening,48,\"Layla, Nevaeh, Olivia, Kinsley\"\ne17452,2015/02/13,in the early evening,12,\"Claire, Rylee\"\ne17459,2015/02/14,late in the evening,14,\"Rylee, Olivia\"\ne17460,2015/02/14,during lunch hours,22,\"Hazel, Nevaeh\"\ne17461,2015/02/14,during lunch hours,47,Kinsley\ne17468,2015/02/15,late in the evening,27,\"Hazel, Piper, Avery\"\ne17469,2015/02/15,in the early afternoon,54,\"Rylee, Lydia\"\ne17475,2015/02/16,in the early evening,11,\"Piper, Nevaeh\"\ne17476,2015/02/16,in the late afternoon,24,\"Lydia, Avery\"\ne17477,2015/02/16,in the morning,49,\"Hazel, Kinsley\"\ne17484,2015/02/17,in the early evening,50,\"Rylee, Claire\"\ne17485,2015/02/17,in the morning,9,\"Olivia, Piper, Rylee, Kinsley\"\ne17492,2015/02/18,in the early afternoon,33,\"Nevaeh, Piper, Kinsley, Claire\"\ne17493,2015/02/18,during lunch hours,34,\"Nora, Nevaeh\"\ne17500,2015/02/19,in the morning,38,\"Layla, Lydia, Claire, Piper\"\ne17501,2015/02/19,during lunch hours,36,\"Rylee, Kinsley, Lydia\"\ne17502,2015/02/19,in the late afternoon,15,\"Lydia, Eva, Piper, Claire\"\ne17509,2015/02/20,in the late afternoon,16,\"Hazel, Layla, Piper\"\ne17510,2015/02/20,during lunch hours,31,Claire\ne17511,2015/02/20,in the morning,9,Hazel\ne17512,2015/02/20,during lunch hours,33,\"Kinsley, Nevaeh, Claire, Layla\"\ne17519,2015/02/21,in the early evening,46,\"Piper, Layla\"\ne17520,2015/02/21,in the morning,42,Rylee\ne17521,2015/02/21,in the late afternoon,46,\"Claire, Layla\"\ne17528,2015/02/22,in the morning,25,\"Olivia, Nora, Hazel, Piper\"\ne17529,2015/02/22,late in the evening,20,Nora\ne17530,2015/02/22,late in the evening,18,Piper\ne17537,2015/02/23,in the late afternoon,30,\"Eva, Avery\"\ne17538,2015/02/23,in the late afternoon,27,\"Lydia, Piper, Kinsley\"\ne17545,2015/02/24,in the late afternoon,18,\"Kinsley, Olivia\"\ne17546,2015/02/24,during lunch hours,51,Rylee\ne17547,2015/02/24,in the early evening,25,\"Layla, Claire, Eva\"\ne17554,2015/02/25,in the early evening,14,\"Hazel, Claire, Lydia, Avery\"\ne17555,2015/02/25,late in the evening,42,\"Claire, Eva, Avery\"\ne17556,2015/02/25,late in the evening,27,Rylee\ne17563,2015/02/26,in the morning,11,\"Olivia, Eva\"\ne17564,2015/02/26,during lunch hours,20,Nevaeh\ne17565,2015/02/26,in the early afternoon,43,\"Piper, Nora, Eva, Lydia\"\ne17566,2015/02/26,in the early evening,23,\"Piper, Rylee\"\ne17573,2015/02/27,during lunch hours,15,\"Rylee, Layla, Hazel, Kinsley\"\ne17574,2015/02/27,in the early evening,32,\"Olivia, Piper, Lydia, Piper\"\ne17575,2015/02/27,in the late afternoon,41,Piper\ne17582,2015/02/28,during lunch hours,18,\"Piper, Nora\"\ne17583,2015/02/28,in the late afternoon,53,\"Hazel, Kinsley, Claire, Nora\"\ne17584,2015/02/28,in the morning,19,\"Avery, Nora, Olivia, Claire\"\ne17591,2015/03/01,in the early evening,17,\"Kinsley, Nora, Olivia, Nevaeh\"\ne17592,2015/03/01,in the early afternoon,54,\"Hazel, Nevaeh, Kinsley\"\ne17593,2015/03/01,late in the evening,19,\"Lydia, Nora\"\ne17594,2015/03/01,late in the evening,8,\"Olivia, Lydia, Claire, Nora\"\ne17601,2015/03/02,in the early evening,54,Piper\ne17602,2015/03/02,in the late afternoon,36,Kinsley\ne17609,2015/03/03,in the late afternoon,43,\"Nora, Nevaeh, Claire, Layla\"\ne17610,2015/03/03,in the early evening,46,Rylee\ne17611,2015/03/03,late in the evening,32,\"Olivia, Nora\"\ne17618,2015/03/04,during lunch hours,45,\"Hazel, Nevaeh, Layla, Rylee\"\ne17619,2015/03/04,late in the evening,13,Lydia\ne17620,2015/03/04,during lunch hours,34,\"Olivia, Avery, Rylee\"\ne17627,2015/03/05,late in the evening,10,\"Hazel, Claire\"\ne17628,2015/03/05,in the early afternoon,33,\"Nora, Lydia, Hazel, Layla\"\ne17629,2015/03/05,in the morning,21,\"Olivia, Eva, Lydia\"\ne17636,2015/03/06,in the early afternoon,25,Lydia\ne17637,2015/03/06,in the late afternoon,30,Piper\ne17644,2015/03/07,in the late afternoon,27,\"Nora, Avery, Rylee, Kinsley\"\ne17645,2015/03/07,in the early afternoon,8,\"Eva, Piper\"\ne17646,2015/03/07,in the morning,27,\"Rylee, Nora, Hazel\"\ne17653,2015/03/08,during lunch hours,26,\"Avery, Rylee, Nora, Nevaeh\"\ne17654,2015/03/08,in the late afternoon,37,Olivia\ne17655,2015/03/08,in the late afternoon,22,\"Rylee, Olivia, Lydia\"\ne17662,2015/03/09,in the early evening,21,\"Piper, Rylee, Lydia, Eva\"\ne17663,2015/03/09,in the early afternoon,13,\"Olivia, Layla, Piper\"\ne17664,2015/03/09,in the morning,47,\"Piper, Kinsley, Claire, Lydia\"\ne17671,2015/03/10,late in the evening,22,\"Piper, Nevaeh\"\ne17672,2015/03/10,in the late afternoon,45,\"Rylee, Eva, Nevaeh, Piper\"\ne17673,2015/03/10,in the late afternoon,54,Hazel\ne17680,2015/03/11,in the early evening,39,\"Eva, Nora, Hazel, Avery\"\ne17681,2015/03/11,in the morning,52,\"Kinsley, Rylee, Avery, Nora\"\ne17688,2015/03/12,during lunch hours,26,\"Hazel, Nevaeh\"\ne17689,2015/03/12,in the early evening,16,\"Avery, Nevaeh, Claire\"\ne17690,2015/03/12,in the morning,30,\"Lydia, Kinsley, Avery\"\ne17697,2015/03/13,in the early afternoon,39,\"Nora, Layla, Eva\"\ne17698,2015/03/13,in the morning,55,Lydia\ne17699,2015/03/13,in the early evening,24,Piper\ne17706,2015/03/14,late in the evening,41,Nora\ne17707,2015/03/14,in the early afternoon,18,\"Hazel, Olivia, Kinsley\"\ne17708,2015/03/14,during lunch hours,13,\"Layla, Hazel, Lydia\"\ne17715,2015/03/15,late in the evening,12,\"Claire, Nevaeh\"\ne17722,2015/03/16,late in the evening,12,\"Kinsley, Piper, Claire\"\ne17723,2015/03/16,in the early evening,50,\"Lydia, Nora, Eva, Nevaeh\"\ne17724,2015/03/16,during lunch hours,36,\"Piper, Piper, Eva\"\ne17725,2015/03/16,in the morning,55,\"Avery, Piper, Claire, Kinsley\"\ne17732,2015/03/17,in the late afternoon,7,Hazel\ne17733,2015/03/17,during lunch hours,25,\"Eva, Kinsley, Nora, Claire\"\ne17734,2015/03/17,in the late afternoon,46,\"Lydia, Layla, Avery\"\ne17735,2015/03/17,during lunch hours,11,\"Hazel, Kinsley\"\ne17742,2015/03/18,during lunch hours,38,\"Nora, Kinsley, Avery\"\ne17743,2015/03/18,in the early evening,43,\"Avery, Piper\"\ne17750,2015/03/19,late in the evening,47,\"Piper, Eva\"\ne17751,2015/03/19,in the morning,11,\"Nevaeh, Eva\"\ne17752,2015/03/19,in the late afternoon,46,\"Nora, Kinsley, Avery\"\ne17753,2015/03/19,during lunch hours,47,\"Piper, Hazel\"\ne17759,2015/03/20,late in the evening,23,Claire\ne17760,2015/03/20,in the late afternoon,24,\"Rylee, Piper\"\ne17761,2015/03/20,late in the evening,15,\"Eva, Hazel\"\ne17768,2015/03/21,in the early evening,18,\"Claire, Olivia, Hazel, Rylee\"\ne17769,2015/03/21,in the early afternoon,7,Lydia\ne17770,2015/03/21,in the early evening,45,\"Rylee, Lydia, Eva\"\ne17771,2015/03/21,in the early evening,27,\"Hazel, Kinsley\"\ne17778,2015/03/22,in the morning,27,\"Eva, Lydia, Kinsley, Hazel\"\ne17779,2015/03/22,in the early afternoon,13,Nevaeh\ne17780,2015/03/22,in the morning,48,Hazel\ne17781,2015/03/22,in the late afternoon,18,\"Rylee, Kinsley, Layla, Avery\"\ne17788,2015/03/23,late in the evening,50,\"Claire, Kinsley, Olivia\"\ne17789,2015/03/23,in the early evening,29,Lydia\ne17790,2015/03/23,late in the evening,14,\"Eva, Lydia\"\ne17797,2015/03/24,in the early evening,19,Layla\ne17798,2015/03/24,in the early afternoon,39,\"Olivia, Piper\"\ne17799,2015/03/24,in the early afternoon,17,Nora\ne17800,2015/03/24,late in the evening,53,\"Hazel, Layla, Piper\"\ne17807,2015/03/25,in the morning,48,\"Olivia, Nevaeh\"\ne17808,2015/03/25,in the late afternoon,48,\"Piper, Avery\"\ne17815,2015/03/26,during lunch hours,5,\"Nora, Piper, Kinsley\"\ne17822,2015/03/27,in the late afternoon,9,\"Avery, Rylee, Hazel\"\ne17823,2015/03/27,during lunch hours,49,\"Claire, Eva, Hazel\"\ne17824,2015/03/27,in the early evening,44,\"Kinsley, Olivia, Layla, Claire\"\ne17831,2015/03/28,in the morning,35,Layla\ne17832,2015/03/28,during lunch hours,22,\"Kinsley, Hazel, Nevaeh\"\ne17833,2015/03/28,in the early evening,24,\"Claire, Hazel\"\ne17840,2015/03/29,during lunch hours,55,\"Nevaeh, Kinsley, Olivia, Claire\"\ne17847,2015/03/30,in the late afternoon,49,\"Claire, Avery, Kinsley\"\ne17854,2015/03/31,in the late afternoon,39,\"Layla, Olivia, Claire, Piper\"\ne17855,2015/03/31,during lunch hours,35,\"Piper, Olivia, Avery, Nevaeh\"\ne17856,2015/03/31,in the early afternoon,24,Nora\ne17863,2015/04/01,in the early evening,45,Olivia\ne17864,2015/04/01,in the morning,55,Claire\ne17871,2015/04/02,in the late afternoon,38,\"Rylee, Piper\"\ne17872,2015/04/02,late in the evening,42,\"Claire, Lydia, Nevaeh, Eva\"\ne17873,2015/04/02,during lunch hours,12,\"Eva, Rylee, Claire, Hazel\"\ne17880,2015/04/03,late in the evening,25,\"Avery, Layla\"\ne17881,2015/04/03,in the early evening,21,Eva\ne17888,2015/04/04,in the morning,12,\"Layla, Nora\"\ne17889,2015/04/04,in the late afternoon,50,\"Nevaeh, Lydia, Piper, Olivia\"\ne17890,2015/04/04,in the early evening,6,\"Rylee, Hazel, Avery, Layla\"\ne17896,2015/04/05,late in the evening,39,\"Claire, Eva, Piper\"\ne17897,2015/04/05,in the late afternoon,9,\"Hazel, Nevaeh\"\ne17898,2015/04/05,in the morning,52,\"Hazel, Piper, Layla\"\ne17905,2015/04/06,in the early afternoon,8,\"Avery, Lydia, Claire\"\ne17906,2015/04/06,in the morning,19,Lydia\ne17913,2015/04/07,in the morning,48,\"Rylee, Olivia, Nevaeh\"\ne17914,2015/04/07,in the early evening,45,Kinsley\ne17915,2015/04/07,in the early afternoon,18,\"Avery, Nevaeh\"\ne17922,2015/04/08,in the early evening,45,\"Avery, Hazel, Piper, Lydia\"\ne17923,2015/04/08,late in the evening,32,\"Claire, Rylee, Avery, Layla\"\ne17924,2015/04/08,during lunch hours,36,Olivia\ne17931,2015/04/09,in the morning,36,\"Nora, Piper, Layla, Olivia\"\ne17932,2015/04/09,in the late afternoon,15,Nevaeh\ne17933,2015/04/09,during lunch hours,21,\"Layla, Lydia, Claire\"\ne17940,2015/04/10,in the early evening,16,\"Piper, Kinsley, Layla\"\ne17941,2015/04/10,in the early evening,34,\"Piper, Layla, Lydia\"\ne17942,2015/04/10,in the early afternoon,6,\"Nora, Rylee, Eva, Piper\"\ne17949,2015/04/11,in the late afternoon,30,\"Hazel, Kinsley, Lydia\"\ne17950,2015/04/11,late in the evening,27,\"Claire, Avery, Lydia\"\ne17951,2015/04/11,in the early evening,8,\"Lydia, Piper, Avery\"\ne17958,2015/04/12,in the morning,30,\"Lydia, Nora, Piper\"\ne17959,2015/04/12,during lunch hours,6,\"Piper, Hazel, Eva, Avery\"\ne17966,2015/04/13,in the late afternoon,13,\"Piper, Lydia, Eva\"\ne17967,2015/04/13,in the morning,41,\"Eva, Piper, Claire\"\ne17968,2015/04/13,in the early evening,18,\"Claire, Nora\"\ne17975,2015/04/14,during lunch hours,17,Lydia\ne17976,2015/04/14,in the early evening,9,\"Claire, Lydia, Rylee, Piper\"\ne17977,2015/04/14,in the early evening,33,\"Rylee, Hazel, Nora, Eva\"\ne17984,2015/04/15,in the late afternoon,50,\"Avery, Rylee, Hazel, Piper\"\ne17985,2015/04/15,late in the evening,53,\"Hazel, Kinsley, Nevaeh, Piper\"\ne17992,2015/04/16,in the morning,27,\"Hazel, Piper, Rylee\"\ne17993,2015/04/16,in the morning,39,\"Piper, Nora, Lydia\"\ne18000,2015/04/17,in the late afternoon,37,\"Claire, Hazel\"\ne18001,2015/04/17,late in the evening,8,\"Piper, Eva, Lydia, Hazel\"\ne18002,2015/04/17,late in the evening,19,\"Eva, Claire\"\ne18003,2015/04/17,late in the evening,46,\"Layla, Claire, Avery, Eva\"\ne18010,2015/04/18,in the early afternoon,44,\"Lydia, Avery\"\ne18011,2015/04/18,in the late afternoon,18,Piper\ne18012,2015/04/18,in the morning,35,\"Kinsley, Rylee, Layla\"\ne18013,2015/04/18,in the late afternoon,37,\"Claire, Lydia, Piper\"\ne18020,2015/04/19,in the early evening,34,Hazel\ne18021,2015/04/19,in the early afternoon,13,Kinsley\ne18022,2015/04/19,late in the evening,26,Layla\ne18028,2015/04/20,in the late afternoon,51,Olivia\ne18029,2015/04/20,in the early afternoon,42,Rylee\ne18030,2015/04/20,in the late afternoon,43,\"Piper, Eva, Nevaeh\"\ne18031,2015/04/20,in the late afternoon,33,\"Nora, Lydia\"\ne18037,2015/04/21,during lunch hours,29,Nora\ne18044,2015/04/22,during lunch hours,16,Nora\ne18045,2015/04/22,in the early evening,42,\"Eva, Nevaeh, Piper\"\ne18052,2015/04/23,in the late afternoon,40,Layla\ne18053,2015/04/23,in the late afternoon,51,\"Lydia, Claire, Olivia\"\ne18054,2015/04/23,during lunch hours,30,\"Claire, Kinsley, Rylee, Olivia\"\ne18061,2015/04/24,in the morning,18,\"Nevaeh, Lydia, Claire, Kinsley\"\ne18062,2015/04/24,in the morning,53,Avery\ne18069,2015/04/25,in the early afternoon,11,\"Kinsley, Piper\"\ne18070,2015/04/25,during lunch hours,24,\"Rylee, Eva\"\ne18071,2015/04/25,in the early afternoon,46,\"Rylee, Hazel\"\ne18078,2015/04/26,in the late afternoon,35,\"Olivia, Piper, Piper\"\ne18079,2015/04/26,in the early afternoon,32,\"Nevaeh, Rylee\"\ne18080,2015/04/26,late in the evening,30,\"Lydia, Rylee\"\ne18086,2015/04/27,in the early evening,32,Olivia\ne18087,2015/04/27,in the early afternoon,17,Piper\ne18094,2015/04/28,during lunch hours,53,Eva\ne18095,2015/04/28,in the late afternoon,7,\"Avery, Piper, Claire\"\ne18096,2015/04/28,during lunch hours,6,\"Hazel, Rylee\"\ne18103,2015/04/29,in the morning,10,\"Lydia, Piper, Kinsley, Claire\"\ne18104,2015/04/29,during lunch hours,34,Eva\ne18105,2015/04/29,in the early afternoon,50,\"Nora, Piper, Claire\"\ne18112,2015/04/30,in the late afternoon,53,Layla\ne18113,2015/04/30,in the late afternoon,45,\"Layla, Nevaeh\"\ne18114,2015/04/30,in the morning,19,Olivia\ne18121,2015/05/01,in the morning,20,\"Piper, Nora\"\ne18122,2015/05/01,in the late afternoon,31,\"Layla, Claire, Piper\"\ne18123,2015/05/01,in the early evening,41,Piper\ne18130,2015/05/02,during lunch hours,11,\"Piper, Layla, Rylee, Eva\"\ne18131,2015/05/02,in the early evening,51,\"Piper, Eva\"\ne18132,2015/05/02,late in the evening,30,\"Piper, Claire, Olivia\"\ne18139,2015/05/03,in the early afternoon,48,Avery\ne18140,2015/05/03,late in the evening,53,\"Eva, Hazel, Lydia\"\ne18141,2015/05/03,in the morning,33,\"Rylee, Avery\"\ne18147,2015/05/04,in the morning,53,\"Eva, Lydia, Claire, Kinsley\"\ne18148,2015/05/04,in the late afternoon,43,\"Rylee, Kinsley, Piper, Piper\"\ne18155,2015/05/05,late in the evening,29,\"Eva, Claire, Kinsley, Rylee\"\ne18156,2015/05/05,late in the evening,48,\"Eva, Lydia, Layla\"\ne18157,2015/05/05,in the late afternoon,12,Piper\ne18164,2015/05/06,late in the evening,5,\"Nevaeh, Rylee, Eva, Nora\"\ne18165,2015/05/06,in the morning,44,\"Layla, Nora, Lydia\"\ne18166,2015/05/06,late in the evening,45,Avery\ne18173,2015/05/07,in the late afternoon,25,\"Kinsley, Olivia\"\ne18174,2015/05/07,in the late afternoon,25,\"Piper, Avery, Rylee, Piper\"\ne18175,2015/05/07,in the early evening,48,\"Piper, Piper\"\ne18176,2015/05/07,in the early afternoon,15,\"Nevaeh, Lydia, Olivia, Kinsley\"\ne18183,2015/05/08,in the late afternoon,55,\"Avery, Claire, Lydia\"\ne18184,2015/05/08,during lunch hours,43,\"Avery, Hazel, Nora\"\ne18191,2015/05/09,during lunch hours,5,\"Nevaeh, Avery, Nora\"\ne18192,2015/05/09,during lunch hours,28,\"Kinsley, Piper\"\ne18193,2015/05/09,in the morning,52,Claire\ne18200,2015/05/10,in the early evening,29,\"Avery, Kinsley, Lydia, Layla\"\ne18201,2015/05/10,late in the evening,11,\"Eva, Nora, Avery, Lydia\"\ne18208,2015/05/11,in the morning,33,\"Nora, Avery\"\ne18209,2015/05/11,late in the evening,16,\"Claire, Nevaeh\"\ne18210,2015/05/11,during lunch hours,22,\"Rylee, Avery, Nora\"\ne18217,2015/05/12,in the early afternoon,17,\"Rylee, Nevaeh\"\ne18218,2015/05/12,in the late afternoon,23,Avery\ne18225,2015/05/13,during lunch hours,28,Hazel\ne18226,2015/05/13,in the late afternoon,21,Claire\ne18233,2015/05/14,in the early afternoon,22,\"Piper, Claire, Nevaeh, Lydia\"\ne18234,2015/05/14,during lunch hours,6,Layla\ne18235,2015/05/14,in the early afternoon,55,Avery\ne18242,2015/05/15,in the late afternoon,55,\"Piper, Eva, Hazel\"\ne18243,2015/05/15,late in the evening,24,\"Avery, Layla, Rylee\"\ne18250,2015/05/16,late in the evening,31,\"Rylee, Layla, Kinsley, Olivia\"\ne18251,2015/05/16,in the early afternoon,10,\"Nevaeh, Piper, Nora\"\ne18252,2015/05/16,in the early evening,5,\"Hazel, Claire, Olivia\"\ne18259,2015/05/17,in the early evening,34,\"Piper, Hazel, Rylee, Nevaeh\"\ne18260,2015/05/17,in the early evening,30,\"Nora, Hazel, Kinsley\"\ne18267,2015/05/18,late in the evening,12,\"Kinsley, Claire, Piper, Nora\"\ne18268,2015/05/18,during lunch hours,41,\"Olivia, Nora, Layla, Nevaeh\"\ne18269,2015/05/18,during lunch hours,54,\"Layla, Nora, Piper\"\ne18275,2015/05/19,in the early afternoon,40,\"Eva, Piper, Olivia\"\ne18276,2015/05/19,in the early afternoon,11,\"Olivia, Lydia, Kinsley\"\ne18277,2015/05/19,in the early evening,47,\"Nora, Lydia\"\ne18278,2015/05/19,in the early afternoon,50,Eva\ne18285,2015/05/20,late in the evening,10,Piper\ne18286,2015/05/20,in the early afternoon,41,\"Rylee, Layla, Kinsley\"\ne18287,2015/05/20,during lunch hours,48,Hazel\ne18294,2015/05/21,late in the evening,10,\"Nevaeh, Kinsley, Nora\"\ne18295,2015/05/21,during lunch hours,37,\"Eva, Olivia\"\ne18296,2015/05/21,late in the evening,27,\"Rylee, Avery, Claire\"\ne18297,2015/05/21,during lunch hours,52,\"Nora, Olivia, Rylee, Nevaeh\"\ne18304,2015/05/22,in the morning,43,\"Piper, Eva\"\ne18305,2015/05/22,in the early afternoon,47,\"Nevaeh, Hazel, Nora\"\ne18306,2015/05/22,late in the evening,35,\"Kinsley, Claire\"\ne18313,2015/05/23,in the late afternoon,47,\"Nevaeh, Rylee\"\ne18314,2015/05/23,during lunch hours,16,\"Rylee, Olivia\"\ne18315,2015/05/23,in the early afternoon,22,\"Piper, Nevaeh, Layla\"\ne18316,2015/05/23,late in the evening,19,\"Lydia, Eva\"\ne18323,2015/05/24,during lunch hours,55,\"Claire, Kinsley, Olivia\"\ne18324,2015/05/24,in the early afternoon,52,\"Olivia, Claire, Hazel, Nora\"\ne18331,2015/05/25,in the late afternoon,35,Eva\ne18338,2015/05/26,late in the evening,11,\"Kinsley, Claire, Nora, Piper\"\ne18339,2015/05/26,in the early afternoon,12,\"Layla, Piper, Nevaeh\"\ne18340,2015/05/26,in the early afternoon,17,\"Hazel, Nevaeh\"\ne18347,2015/05/27,during lunch hours,15,\"Nora, Layla, Olivia, Claire\"\ne18348,2015/05/27,late in the evening,38,\"Kinsley, Hazel, Piper\"\ne18349,2015/05/27,in the morning,55,\"Avery, Layla\"\ne18355,2015/05/28,in the early afternoon,32,\"Olivia, Layla, Piper\"\ne18356,2015/05/28,in the early evening,29,\"Lydia, Hazel\"\ne18357,2015/05/28,in the late afternoon,5,\"Nora, Lydia\"\ne18358,2015/05/28,during lunch hours,13,\"Rylee, Olivia, Lydia, Piper\"\ne18365,2015/05/29,in the early evening,51,\"Olivia, Hazel\"\ne18366,2015/05/29,late in the evening,28,\"Avery, Rylee\"\ne18367,2015/05/29,in the late afternoon,13,\"Kinsley, Piper, Lydia\"\ne18368,2015/05/29,late in the evening,29,\"Layla, Lydia\"\ne18375,2015/05/30,late in the evening,15,\"Avery, Claire\"\ne18376,2015/05/30,in the late afternoon,20,\"Piper, Rylee, Olivia, Claire\"\ne18377,2015/05/30,in the late afternoon,5,Rylee\ne18378,2015/05/30,in the late afternoon,28,\"Eva, Layla, Piper\"\ne18385,2015/05/31,late in the evening,49,Nevaeh\ne18386,2015/05/31,during lunch hours,39,Piper\ne18387,2015/05/31,in the early afternoon,21,\"Avery, Eva, Piper\"\ne18393,2015/06/01,in the late afternoon,33,Layla\ne18394,2015/06/01,during lunch hours,48,\"Lydia, Rylee, Nevaeh, Avery\"\ne18395,2015/06/01,during lunch hours,15,\"Piper, Rylee, Layla, Nora\"\ne18402,2015/06/02,late in the evening,12,\"Avery, Eva, Claire, Olivia\"\ne18403,2015/06/02,late in the evening,23,\"Kinsley, Rylee, Nora, Claire\"\ne18404,2015/06/02,in the late afternoon,40,\"Olivia, Eva\"\ne18405,2015/06/02,in the morning,46,\"Lydia, Olivia, Eva, Avery\"\ne18412,2015/06/03,in the late afternoon,53,Piper\ne18413,2015/06/03,in the early evening,5,Eva\ne18420,2015/06/04,during lunch hours,11,\"Kinsley, Nora, Hazel, Olivia\"\ne18427,2015/06/05,in the early evening,37,\"Layla, Lydia\"\ne18428,2015/06/05,in the morning,9,Rylee\ne18429,2015/06/05,late in the evening,26,Lydia\ne18430,2015/06/05,late in the evening,48,\"Hazel, Nora\"\ne18437,2015/06/06,in the early evening,16,Nora\ne18438,2015/06/06,late in the evening,11,Claire\ne18439,2015/06/06,late in the evening,18,Hazel\ne18446,2015/06/07,during lunch hours,21,\"Lydia, Nora, Piper\"\ne18447,2015/06/07,late in the evening,41,\"Kinsley, Piper\"\ne18448,2015/06/07,in the early evening,31,Nora\ne18455,2015/06/08,in the early evening,47,\"Eva, Olivia\"\ne18462,2015/06/09,in the early afternoon,13,\"Rylee, Lydia, Claire, Eva\"\ne18469,2015/06/10,in the late afternoon,19,\"Avery, Kinsley\"\ne18470,2015/06/10,during lunch hours,13,\"Nora, Claire, Olivia, Lydia\"\ne18471,2015/06/10,in the late afternoon,49,\"Lydia, Nevaeh, Nora\"\ne18478,2015/06/11,in the early afternoon,15,\"Hazel, Rylee, Eva, Nora\"\ne18479,2015/06/11,in the early evening,20,\"Rylee, Piper\"\ne18480,2015/06/11,during lunch hours,45,\"Claire, Hazel, Lydia\"\ne18487,2015/06/12,during lunch hours,36,Lydia\ne18488,2015/06/12,in the early afternoon,17,\"Nevaeh, Rylee, Nora, Lydia\"\ne18489,2015/06/12,late in the evening,39,Claire\ne18496,2015/06/13,late in the evening,30,\"Piper, Nora, Rylee, Lydia\"\ne18497,2015/06/13,in the late afternoon,5,\"Lydia, Olivia, Hazel\"\ne18504,2015/06/14,during lunch hours,55,\"Hazel, Nevaeh\"\ne18505,2015/06/14,in the early afternoon,50,Nevaeh\ne18512,2015/06/15,in the morning,55,\"Rylee, Olivia\"\ne18513,2015/06/15,in the late afternoon,26,\"Avery, Hazel, Olivia\"\ne18514,2015/06/15,in the late afternoon,30,\"Piper, Eva, Lydia, Avery\"\ne18520,2015/06/16,in the early evening,36,\"Piper, Claire, Layla, Hazel\"\ne18521,2015/06/16,in the morning,33,Kinsley\ne18528,2015/06/17,in the late afternoon,15,\"Piper, Rylee, Avery, Nora\"\ne18529,2015/06/17,in the early afternoon,19,\"Nevaeh, Olivia, Rylee\"\ne18530,2015/06/17,in the early afternoon,52,Eva\ne18536,2015/06/18,during lunch hours,7,Lydia\ne18537,2015/06/18,late in the evening,14,\"Rylee, Lydia, Olivia, Kinsley\"\ne18544,2015/06/19,in the late afternoon,22,\"Lydia, Eva, Nora, Hazel\"\ne18545,2015/06/19,in the early afternoon,19,\"Nevaeh, Nora, Lydia\"\ne18546,2015/06/19,in the early afternoon,31,\"Eva, Nevaeh\"\ne18552,2015/06/20,late in the evening,26,\"Hazel, Avery\"\ne18553,2015/06/20,in the early evening,34,\"Avery, Rylee, Lydia, Nevaeh\"\ne18554,2015/06/20,late in the evening,39,\"Kinsley, Lydia, Layla\"\ne18561,2015/06/21,in the early evening,29,\"Piper, Olivia, Eva\"\ne18562,2015/06/21,during lunch hours,55,\"Olivia, Kinsley, Lydia\"\ne18563,2015/06/21,in the morning,10,\"Kinsley, Lydia, Nora, Claire\"\ne18570,2015/06/22,in the morning,37,\"Nora, Lydia, Avery, Olivia\"\ne18571,2015/06/22,in the early afternoon,11,Nora\ne18572,2015/06/22,in the early afternoon,46,Nora\ne18573,2015/06/22,in the late afternoon,21,Lydia\ne18579,2015/06/23,during lunch hours,38,Piper\ne18586,2015/06/24,in the morning,27,\"Hazel, Piper, Piper\"\ne18587,2015/06/24,late in the evening,54,Nevaeh\ne18588,2015/06/24,in the late afternoon,14,\"Claire, Rylee\"\ne18589,2015/06/24,late in the evening,25,\"Eva, Claire, Layla\"\ne18596,2015/06/25,in the early afternoon,41,\"Lydia, Nora\"\ne18597,2015/06/25,in the morning,36,\"Lydia, Nora, Avery\"\ne18598,2015/06/25,during lunch hours,13,\"Olivia, Rylee\"\ne18605,2015/06/26,in the late afternoon,11,\"Piper, Piper\"\ne18606,2015/06/26,late in the evening,36,\"Nevaeh, Eva, Nora\"\ne18613,2015/06/27,in the morning,53,Nora\ne18614,2015/06/27,in the late afternoon,55,\"Lydia, Avery\"\ne18615,2015/06/27,in the morning,49,\"Eva, Lydia, Kinsley\"\ne18622,2015/06/28,in the early evening,44,\"Avery, Piper, Layla, Kinsley\"\ne18623,2015/06/28,in the early afternoon,28,Piper\ne18624,2015/06/28,in the late afternoon,51,Olivia\ne18631,2015/06/29,in the early evening,49,\"Rylee, Claire, Olivia\"\ne18632,2015/06/29,in the morning,21,\"Piper, Nevaeh, Claire, Rylee\"\ne18633,2015/06/29,during lunch hours,16,\"Hazel, Avery, Lydia, Piper\"\ne18640,2015/06/30,in the morning,23,\"Nora, Lydia, Kinsley\"\ne18641,2015/06/30,in the late afternoon,47,\"Layla, Hazel, Eva, Olivia\"\ne18642,2015/06/30,in the early afternoon,19,Nora\ne18649,2015/07/01,during lunch hours,29,\"Kinsley, Lydia\"\ne18650,2015/07/01,during lunch hours,11,\"Olivia, Claire, Avery\"\ne18651,2015/07/01,late in the evening,33,\"Eva, Claire, Hazel\"\ne18658,2015/07/02,in the morning,41,\"Nevaeh, Piper\"\ne18659,2015/07/02,late in the evening,10,\"Lydia, Avery\"\ne18660,2015/07/02,in the early afternoon,18,\"Nora, Rylee, Nevaeh, Claire\"\ne18661,2015/07/02,in the morning,21,\"Olivia, Piper\"\ne18668,2015/07/03,in the morning,7,Avery\ne18669,2015/07/03,in the early afternoon,53,\"Eva, Piper, Nora\"\ne18670,2015/07/03,in the morning,8,\"Piper, Avery, Nora, Lydia\"\ne18677,2015/07/04,in the early afternoon,46,\"Lydia, Olivia, Nevaeh\"\ne18678,2015/07/04,in the early afternoon,21,\"Olivia, Piper\"\ne18684,2015/07/05,late in the evening,29,\"Lydia, Piper\"\ne18685,2015/07/05,in the morning,18,\"Nevaeh, Claire, Piper\"\ne18686,2015/07/05,late in the evening,20,\"Kinsley, Nevaeh, Eva\"\ne18693,2015/07/06,during lunch hours,40,\"Eva, Avery, Lydia, Layla\"\ne18694,2015/07/06,in the morning,28,\"Hazel, Rylee\"\ne18695,2015/07/06,in the early afternoon,49,\"Hazel, Kinsley\"\ne18696,2015/07/06,in the early afternoon,55,\"Rylee, Lydia, Piper, Eva\"\ne18702,2015/07/07,in the early evening,47,Layla\ne18703,2015/07/07,in the early evening,8,Nevaeh\ne18704,2015/07/07,in the morning,8,\"Olivia, Layla\"\ne18711,2015/07/08,in the early evening,37,Nevaeh\ne18712,2015/07/08,in the early afternoon,42,\"Lydia, Rylee\"\ne18713,2015/07/08,in the early afternoon,32,\"Kinsley, Eva\"\ne18719,2015/07/09,in the early evening,19,\"Avery, Nora, Eva, Piper\"\ne18720,2015/07/09,in the early evening,41,\"Avery, Claire, Nevaeh, Hazel\"\ne18721,2015/07/09,late in the evening,13,Layla\ne18722,2015/07/09,during lunch hours,49,\"Olivia, Eva, Lydia\"\ne18728,2015/07/10,in the morning,48,\"Claire, Eva, Hazel, Olivia\"\ne18729,2015/07/10,during lunch hours,49,\"Eva, Piper, Piper\"\ne18736,2015/07/11,during lunch hours,10,\"Lydia, Avery\"\ne18737,2015/07/11,late in the evening,35,Layla\ne18738,2015/07/11,in the early evening,9,Layla\ne18739,2015/07/11,in the late afternoon,35,\"Rylee, Piper, Piper, Layla\"\ne18746,2015/07/12,in the early afternoon,30,\"Nevaeh, Piper, Layla, Olivia\"\ne18747,2015/07/12,in the late afternoon,20,\"Piper, Piper, Hazel, Olivia\"\ne18748,2015/07/12,in the morning,14,\"Nora, Lydia, Hazel\"\ne18749,2015/07/12,in the late afternoon,19,\"Kinsley, Rylee\"\ne18756,2015/07/13,in the early evening,21,Olivia\ne18757,2015/07/13,in the morning,38,\"Piper, Avery, Nora\"\ne18764,2015/07/14,during lunch hours,53,Layla\ne18765,2015/07/14,in the late afternoon,36,\"Nevaeh, Claire, Olivia\"\ne18766,2015/07/14,in the early afternoon,14,\"Nevaeh, Nora, Hazel, Claire\"\ne18773,2015/07/15,in the late afternoon,13,\"Layla, Nevaeh, Piper\"\ne18774,2015/07/15,in the early evening,22,\"Nevaeh, Hazel\"\ne18775,2015/07/15,in the morning,51,\"Avery, Nora, Piper, Kinsley\"\ne18782,2015/07/16,in the late afternoon,22,\"Avery, Piper, Hazel, Lydia\"\ne18789,2015/07/17,in the morning,25,\"Olivia, Kinsley, Piper, Hazel\"\ne18790,2015/07/17,in the late afternoon,14,Kinsley\ne18796,2015/07/18,late in the evening,11,\"Lydia, Rylee, Olivia\"\ne18797,2015/07/18,in the morning,47,Olivia\ne18804,2015/07/19,in the late afternoon,33,\"Olivia, Kinsley, Layla, Rylee\"\ne18805,2015/07/19,late in the evening,33,Piper\ne18806,2015/07/19,in the late afternoon,27,\"Claire, Olivia, Avery, Nora\"\ne18813,2015/07/20,in the early afternoon,43,\"Lydia, Piper, Avery\"\ne18814,2015/07/20,in the early evening,42,\"Piper, Nora, Avery, Rylee\"\ne18821,2015/07/21,in the late afternoon,46,Layla\ne18822,2015/07/21,during lunch hours,42,\"Avery, Kinsley, Claire, Lydia\"\ne18823,2015/07/21,in the early afternoon,31,\"Rylee, Nevaeh\"\ne18829,2015/07/22,in the morning,51,\"Avery, Nora, Kinsley, Piper\"\ne18830,2015/07/22,in the early afternoon,37,\"Layla, Kinsley\"\ne18831,2015/07/22,in the early evening,19,\"Rylee, Hazel\"\ne18832,2015/07/22,during lunch hours,31,\"Kinsley, Piper, Hazel, Lydia\"\ne18839,2015/07/23,in the morning,24,\"Claire, Nora\"\ne18840,2015/07/23,in the early evening,42,\"Piper, Eva, Avery\"\ne18841,2015/07/23,in the morning,8,Lydia\ne18848,2015/07/24,in the morning,7,\"Kinsley, Rylee\"\ne18849,2015/07/24,in the early afternoon,49,\"Kinsley, Eva\"\ne18850,2015/07/24,in the early evening,36,Piper\ne18851,2015/07/24,during lunch hours,15,\"Piper, Nora\"\ne18857,2015/07/25,late in the evening,17,\"Olivia, Kinsley, Hazel, Nora\"\ne18858,2015/07/25,late in the evening,6,Nevaeh\ne18865,2015/07/26,late in the evening,27,\"Lydia, Piper\"\ne18866,2015/07/26,late in the evening,15,\"Kinsley, Layla, Piper\"\ne18867,2015/07/26,in the early afternoon,25,Nora\ne18874,2015/07/27,late in the evening,19,Layla\ne18881,2015/07/28,during lunch hours,9,\"Piper, Avery\"\ne18882,2015/07/28,in the late afternoon,54,\"Olivia, Avery, Rylee, Lydia\"\ne18883,2015/07/28,in the late afternoon,41,Piper\ne18884,2015/07/28,in the early afternoon,22,\"Lydia, Nora\"\ne18891,2015/07/29,in the morning,34,Nora\ne18892,2015/07/29,in the early afternoon,8,\"Kinsley, Piper, Hazel, Eva\"\ne18899,2015/07/30,during lunch hours,22,\"Kinsley, Piper, Nevaeh\"\ne18900,2015/07/30,late in the evening,38,Olivia\ne18901,2015/07/30,in the early evening,51,Piper\ne18907,2015/07/31,in the morning,10,\"Avery, Eva\"\ne18908,2015/07/31,in the morning,23,Piper\ne18915,2015/08/01,in the late afternoon,16,\"Rylee, Olivia, Avery, Claire\"\ne18916,2015/08/01,late in the evening,45,\"Hazel, Claire, Piper\"\ne18923,2015/08/02,in the late afternoon,42,\"Layla, Olivia\"\ne18924,2015/08/02,in the late afternoon,22,\"Olivia, Claire, Piper, Kinsley\"\ne18931,2015/08/03,during lunch hours,33,\"Olivia, Nevaeh, Hazel, Avery\"\ne18932,2015/08/03,during lunch hours,26,\"Lydia, Layla, Kinsley, Piper\"\ne18933,2015/08/03,during lunch hours,6,\"Layla, Nevaeh, Nora\"\ne18934,2015/08/03,in the morning,54,Hazel\ne18941,2015/08/04,late in the evening,50,Kinsley\ne18942,2015/08/04,in the late afternoon,5,Claire\ne18943,2015/08/04,in the morning,42,\"Nevaeh, Lydia, Eva, Claire\"\ne18950,2015/08/05,in the early afternoon,16,Olivia\ne18951,2015/08/05,late in the evening,24,Piper\ne18952,2015/08/05,in the morning,36,\"Piper, Claire, Lydia, Rylee\"\ne18953,2015/08/05,during lunch hours,51,\"Lydia, Eva, Kinsley\"\ne18960,2015/08/06,during lunch hours,52,\"Piper, Nevaeh, Hazel, Olivia\"\ne18967,2015/08/07,in the morning,7,\"Nevaeh, Piper, Rylee, Hazel\"\ne18968,2015/08/07,late in the evening,17,\"Nevaeh, Hazel\"\ne18969,2015/08/07,in the early evening,32,\"Piper, Hazel, Piper\"\ne18976,2015/08/08,late in the evening,46,\"Piper, Rylee, Piper, Kinsley\"\ne18977,2015/08/08,in the early evening,43,\"Eva, Nora, Hazel\"\ne18984,2015/08/09,in the early afternoon,15,\"Layla, Hazel\"\ne18990,2015/08/10,in the late afternoon,18,\"Avery, Rylee, Piper\"\ne18991,2015/08/10,in the early afternoon,18,\"Nora, Avery\"\ne18992,2015/08/10,in the early evening,26,\"Nora, Piper, Olivia, Rylee\"\ne18999,2015/08/11,during lunch hours,35,\"Nora, Claire\"\ne19000,2015/08/11,in the early afternoon,52,\"Nora, Avery, Eva\"\ne19007,2015/08/12,in the late afternoon,12,\"Piper, Kinsley, Layla\"\ne19008,2015/08/12,in the late afternoon,43,\"Piper, Claire\"\ne19009,2015/08/12,in the late afternoon,28,Nora\ne19016,2015/08/13,in the early afternoon,43,\"Claire, Piper, Nevaeh\"\ne19017,2015/08/13,in the early evening,49,\"Nevaeh, Eva, Claire\"\ne19024,2015/08/14,during lunch hours,22,\"Claire, Piper, Olivia, Avery\"\ne19025,2015/08/14,late in the evening,12,Nevaeh\ne19026,2015/08/14,late in the evening,19,\"Olivia, Piper\"\ne19033,2015/08/15,late in the evening,38,\"Nora, Kinsley, Olivia, Piper\"\ne19034,2015/08/15,in the late afternoon,46,Hazel\ne19041,2015/08/16,late in the evening,53,\"Avery, Eva, Rylee\"\ne19042,2015/08/16,during lunch hours,32,Nora\ne19049,2015/08/17,in the early afternoon,42,\"Claire, Lydia, Eva\"\ne19050,2015/08/17,during lunch hours,54,\"Claire, Rylee\"\ne19051,2015/08/17,late in the evening,48,\"Piper, Rylee, Olivia, Hazel\"\ne19052,2015/08/17,in the morning,16,\"Piper, Layla, Olivia, Piper\"\ne19059,2015/08/18,late in the evening,10,\"Avery, Piper, Rylee\"\ne19060,2015/08/18,in the late afternoon,19,\"Piper, Nevaeh, Claire\"\ne19061,2015/08/18,in the early afternoon,40,Kinsley\ne19068,2015/08/19,in the morning,35,\"Claire, Layla, Olivia, Nora\"\ne19069,2015/08/19,in the late afternoon,43,\"Nevaeh, Kinsley, Hazel, Lydia\"\ne19070,2015/08/19,during lunch hours,21,\"Nora, Layla\"\ne19077,2015/08/20,in the late afternoon,38,\"Nora, Piper, Piper\"\ne19078,2015/08/20,in the late afternoon,32,Kinsley\ne19085,2015/08/21,in the early afternoon,29,\"Avery, Nora, Eva, Nevaeh\"\ne19086,2015/08/21,in the early afternoon,43,\"Lydia, Kinsley, Layla, Hazel\"\ne19093,2015/08/22,in the early evening,34,\"Lydia, Claire\"\ne19094,2015/08/22,late in the evening,10,Claire\ne19095,2015/08/22,late in the evening,16,\"Piper, Lydia, Avery, Claire\"\ne19102,2015/08/23,late in the evening,5,\"Layla, Piper, Nevaeh, Avery\"\ne19103,2015/08/23,in the late afternoon,46,\"Olivia, Avery, Claire\"\ne19110,2015/08/24,in the late afternoon,42,\"Lydia, Kinsley, Piper\"\ne19111,2015/08/24,during lunch hours,51,\"Avery, Layla\"\ne19112,2015/08/24,in the early evening,31,\"Kinsley, Nora\"\ne19119,2015/08/25,in the late afternoon,51,\"Nora, Kinsley, Avery\"\ne19120,2015/08/25,in the late afternoon,41,\"Olivia, Nora\"\ne19127,2015/08/26,in the early evening,5,\"Piper, Layla\"\ne19128,2015/08/26,during lunch hours,36,\"Rylee, Avery, Claire\"\ne19129,2015/08/26,in the late afternoon,54,\"Olivia, Piper, Kinsley, Layla\"\ne19130,2015/08/26,in the morning,27,\"Olivia, Piper, Claire\"\ne19137,2015/08/27,in the early afternoon,41,Hazel\ne19138,2015/08/27,in the early afternoon,30,\"Avery, Eva\"\ne19145,2015/08/28,in the early evening,26,\"Olivia, Nora, Avery, Nevaeh\"\ne19146,2015/08/28,in the early afternoon,20,\"Nora, Piper\"\ne19147,2015/08/28,in the morning,50,Piper\ne19154,2015/08/29,in the early evening,46,\"Avery, Lydia\"\ne19155,2015/08/29,in the early evening,33,Piper\ne19162,2015/08/30,in the late afternoon,34,Rylee\ne19163,2015/08/30,during lunch hours,5,\"Piper, Rylee, Eva\"\ne19164,2015/08/30,late in the evening,55,\"Eva, Olivia\"\ne19171,2015/08/31,late in the evening,5,\"Olivia, Hazel\"\ne19172,2015/08/31,during lunch hours,30,\"Claire, Olivia\"\ne19173,2015/08/31,in the early evening,22,\"Nevaeh, Claire, Nora, Rylee\"\ne19174,2015/08/31,in the late afternoon,54,\"Lydia, Piper, Avery\"\ne19181,2015/09/01,during lunch hours,53,\"Nora, Claire, Hazel\"\ne19182,2015/09/01,in the early evening,21,\"Kinsley, Olivia\"\ne19183,2015/09/01,in the early evening,24,\"Lydia, Hazel\"\ne19190,2015/09/02,in the late afternoon,35,\"Piper, Eva, Nevaeh, Hazel\"\ne19191,2015/09/02,in the early afternoon,21,\"Kinsley, Nora, Avery, Claire\"\ne19198,2015/09/03,in the early afternoon,18,\"Hazel, Kinsley, Rylee, Nevaeh\"\ne19199,2015/09/03,in the late afternoon,49,\"Avery, Piper\"\ne19200,2015/09/03,in the late afternoon,54,\"Kinsley, Olivia\"\ne19207,2015/09/04,in the morning,39,\"Lydia, Eva, Olivia, Rylee\"\ne19208,2015/09/04,in the early afternoon,20,\"Nora, Hazel\"\ne19209,2015/09/04,during lunch hours,41,\"Layla, Nora, Claire, Rylee\"\ne19216,2015/09/05,during lunch hours,11,Nora\ne19217,2015/09/05,late in the evening,39,\"Rylee, Kinsley, Nevaeh, Lydia\"\ne19218,2015/09/05,in the morning,17,\"Nora, Olivia\"\ne19219,2015/09/05,during lunch hours,13,\"Rylee, Claire, Nevaeh, Eva\"\ne19226,2015/09/06,late in the evening,19,\"Eva, Nevaeh\"\ne19227,2015/09/06,in the early evening,22,\"Lydia, Nevaeh\"\ne19228,2015/09/06,late in the evening,27,\"Nevaeh, Piper, Eva, Claire\"\ne19229,2015/09/06,during lunch hours,37,Claire\ne19236,2015/09/07,during lunch hours,5,\"Lydia, Avery, Claire, Kinsley\"\ne19237,2015/09/07,in the early evening,37,Claire\ne19238,2015/09/07,late in the evening,51,\"Rylee, Piper, Claire, Nevaeh\"\ne19245,2015/09/08,in the morning,47,\"Kinsley, Hazel, Piper, Layla\"\ne19246,2015/09/08,in the early afternoon,19,\"Nora, Avery\"\ne19253,2015/09/09,during lunch hours,42,\"Nora, Olivia, Hazel, Claire\"\ne19254,2015/09/09,in the morning,14,Layla\ne19261,2015/09/10,in the early afternoon,52,Eva\ne19262,2015/09/10,during lunch hours,19,\"Piper, Kinsley\"\ne19263,2015/09/10,in the morning,52,\"Eva, Nora\"\ne19270,2015/09/11,late in the evening,39,\"Avery, Kinsley, Piper\"\ne19271,2015/09/11,in the early afternoon,22,\"Layla, Eva\"\ne19272,2015/09/11,during lunch hours,45,\"Claire, Kinsley, Avery\"\ne19279,2015/09/12,in the early afternoon,16,\"Kinsley, Eva\"\ne19280,2015/09/12,late in the evening,21,\"Lydia, Piper, Kinsley\"\ne19287,2015/09/13,in the morning,53,Piper\ne19288,2015/09/13,in the early afternoon,21,Layla\ne19295,2015/09/14,during lunch hours,50,Piper\ne19296,2015/09/14,in the late afternoon,31,\"Claire, Hazel\"\ne19297,2015/09/14,in the early afternoon,55,\"Rylee, Kinsley, Piper\"\ne19304,2015/09/15,in the morning,44,Lydia\ne19305,2015/09/15,in the late afternoon,47,\"Eva, Layla, Olivia\"\ne19306,2015/09/15,in the late afternoon,53,Claire\ne19313,2015/09/16,during lunch hours,13,Kinsley\ne19320,2015/09/17,in the early afternoon,5,\"Avery, Rylee\"\ne19321,2015/09/17,during lunch hours,23,\"Lydia, Hazel, Olivia\"\ne19322,2015/09/17,late in the evening,25,\"Eva, Layla\"\ne19323,2015/09/17,in the late afternoon,50,\"Kinsley, Piper, Piper\"\ne19330,2015/09/18,in the early afternoon,48,Nevaeh\ne19331,2015/09/18,in the late afternoon,14,Olivia\ne19332,2015/09/18,late in the evening,43,\"Piper, Eva\"\ne19333,2015/09/18,late in the evening,25,\"Nora, Kinsley\"\ne19340,2015/09/19,in the late afternoon,18,Layla\ne19341,2015/09/19,in the late afternoon,29,Lydia\ne19342,2015/09/19,in the morning,32,\"Nora, Olivia, Lydia\"\ne19349,2015/09/20,in the morning,35,Olivia\ne19350,2015/09/20,late in the evening,40,Nora\ne19351,2015/09/20,in the morning,36,\"Eva, Piper, Hazel, Olivia\"\ne19352,2015/09/20,in the early evening,43,Nora\ne19359,2015/09/21,late in the evening,45,Nevaeh\ne19360,2015/09/21,in the early evening,48,\"Layla, Piper, Piper\"\ne19361,2015/09/21,during lunch hours,15,\"Piper, Nora, Nevaeh\"\ne19368,2015/09/22,in the early afternoon,25,\"Nevaeh, Olivia\"\ne19369,2015/09/22,in the early evening,38,\"Piper, Rylee\"\ne19370,2015/09/22,in the early afternoon,24,\"Hazel, Layla, Piper, Nevaeh\"\ne19371,2015/09/22,in the early evening,44,\"Claire, Rylee, Lydia\"\ne19378,2015/09/23,in the early evening,28,\"Piper, Nevaeh, Avery\"\ne19379,2015/09/23,in the early afternoon,38,Olivia\ne19380,2015/09/23,in the early evening,38,\"Nora, Rylee, Piper\"\ne19386,2015/09/24,during lunch hours,25,\"Rylee, Nevaeh, Kinsley\"\ne19387,2015/09/24,late in the evening,53,\"Piper, Eva\"\ne19388,2015/09/24,during lunch hours,8,Piper\ne19395,2015/09/25,late in the evening,47,\"Avery, Lydia, Olivia\"\ne19402,2015/09/26,in the morning,14,\"Piper, Layla, Lydia, Olivia\"\ne19403,2015/09/26,late in the evening,21,Claire\ne19410,2015/09/27,in the early evening,52,\"Kinsley, Olivia, Rylee\"\ne19411,2015/09/27,in the morning,34,\"Hazel, Olivia, Rylee, Claire\"\ne19418,2015/09/28,in the early evening,28,\"Olivia, Piper, Avery\"\ne19419,2015/09/28,late in the evening,45,\"Rylee, Piper\"\ne19426,2015/09/29,late in the evening,9,\"Nora, Claire, Olivia\"\ne19427,2015/09/29,in the late afternoon,35,\"Claire, Avery\"\ne19428,2015/09/29,during lunch hours,7,\"Olivia, Piper, Kinsley, Eva\"\ne19429,2015/09/29,late in the evening,10,\"Nevaeh, Nora, Rylee, Piper\"\ne19435,2015/09/30,in the early evening,10,\"Nora, Layla, Piper, Claire\"\ne19436,2015/09/30,in the morning,55,\"Layla, Claire, Kinsley, Piper\"\ne19437,2015/09/30,in the early afternoon,31,Nevaeh\ne19438,2015/09/30,in the morning,52,Piper\ne19445,2015/10/01,in the morning,31,\"Rylee, Piper, Olivia\"\ne19446,2015/10/01,in the early afternoon,49,\"Nevaeh, Eva, Claire\"\ne19453,2015/10/02,in the early evening,13,\"Olivia, Piper, Nevaeh\"\ne19454,2015/10/02,in the early evening,38,\"Eva, Rylee, Nevaeh, Olivia\"\ne19455,2015/10/02,during lunch hours,45,\"Piper, Lydia\"\ne19462,2015/10/03,during lunch hours,25,\"Layla, Piper, Avery\"\ne19463,2015/10/03,during lunch hours,8,\"Kinsley, Lydia, Olivia\"\ne19464,2015/10/03,in the morning,33,\"Layla, Lydia\"\ne19471,2015/10/04,in the early evening,43,\"Piper, Nevaeh\"\ne19472,2015/10/04,in the late afternoon,14,\"Layla, Kinsley, Claire, Nevaeh\"\ne19473,2015/10/04,in the early afternoon,34,\"Rylee, Lydia, Nevaeh, Nora\"\ne19480,2015/10/05,late in the evening,13,Piper\ne19481,2015/10/05,in the early evening,33,Eva\ne19482,2015/10/05,in the morning,15,\"Nevaeh, Claire, Lydia, Olivia\"\ne19489,2015/10/06,in the early afternoon,20,\"Nevaeh, Lydia, Claire\"\ne19490,2015/10/06,in the early evening,19,\"Hazel, Rylee, Olivia\"\ne19491,2015/10/06,in the early evening,25,Kinsley\ne19492,2015/10/06,in the early evening,51,\"Kinsley, Eva\"\ne19499,2015/10/07,in the morning,12,\"Nora, Olivia, Layla, Claire\"\ne19500,2015/10/07,in the early afternoon,24,\"Eva, Lydia\"\ne19501,2015/10/07,in the early evening,43,Rylee\ne19508,2015/10/08,during lunch hours,31,\"Layla, Avery, Olivia\"\ne19509,2015/10/08,during lunch hours,55,\"Olivia, Rylee, Piper, Piper\"\ne19510,2015/10/08,in the early evening,20,\"Lydia, Piper, Claire, Piper\"\ne19517,2015/10/09,late in the evening,16,Nora\ne19518,2015/10/09,in the early evening,44,Kinsley\ne19519,2015/10/09,in the early afternoon,6,\"Eva, Lydia, Avery, Layla\"\ne19525,2015/10/10,in the late afternoon,54,\"Avery, Hazel, Piper\"\ne19526,2015/10/10,in the early afternoon,45,\"Olivia, Rylee, Eva, Hazel\"\ne19527,2015/10/10,in the morning,40,Nevaeh\ne19528,2015/10/10,late in the evening,20,\"Olivia, Piper, Eva\"\ne19535,2015/10/11,in the morning,48,\"Claire, Olivia, Layla, Eva\"\ne19536,2015/10/11,in the early evening,49,\"Lydia, Kinsley\"\ne19543,2015/10/12,during lunch hours,52,\"Claire, Nora, Piper\"\ne19544,2015/10/12,in the early afternoon,46,\"Claire, Rylee\"\ne19545,2015/10/12,in the late afternoon,54,\"Rylee, Piper\"\ne19552,2015/10/13,in the morning,7,\"Nora, Hazel\"\ne19553,2015/10/13,in the morning,10,\"Kinsley, Nora, Piper, Hazel\"\ne19560,2015/10/14,in the early evening,30,Rylee\ne19561,2015/10/14,in the early afternoon,36,Lydia\ne19562,2015/10/14,in the early evening,43,\"Eva, Lydia\"\ne19563,2015/10/14,in the morning,49,\"Claire, Kinsley\"\ne19570,2015/10/15,in the early afternoon,53,\"Piper, Avery, Layla\"\ne19571,2015/10/15,in the late afternoon,34,Avery\ne19572,2015/10/15,in the morning,8,\"Piper, Hazel\"\ne19573,2015/10/15,in the early evening,28,\"Hazel, Claire, Nevaeh, Lydia\"\ne19580,2015/10/16,in the morning,8,Nevaeh\ne19581,2015/10/16,during lunch hours,34,\"Lydia, Nevaeh, Hazel, Olivia\"\ne19588,2015/10/17,in the morning,39,\"Hazel, Nora, Piper\"\ne19589,2015/10/17,in the early evening,11,\"Lydia, Piper, Avery, Rylee\"\ne19590,2015/10/17,during lunch hours,28,\"Layla, Olivia, Eva, Kinsley\"\ne19597,2015/10/18,in the late afternoon,36,\"Kinsley, Hazel, Avery, Layla\"\ne19598,2015/10/18,in the late afternoon,47,\"Olivia, Nevaeh, Nora\"\ne19605,2015/10/19,in the late afternoon,8,\"Eva, Olivia, Lydia\"\ne19606,2015/10/19,late in the evening,43,\"Avery, Kinsley\"\ne19607,2015/10/19,in the early afternoon,17,\"Rylee, Piper\"\ne19613,2015/10/20,in the morning,15,\"Piper, Layla\"\ne19614,2015/10/20,during lunch hours,24,\"Hazel, Eva, Layla, Piper\"\ne19615,2015/10/20,in the late afternoon,55,\"Nora, Kinsley, Claire\"\ne19622,2015/10/21,in the early evening,25,\"Eva, Lydia\"\ne19623,2015/10/21,late in the evening,22,\"Hazel, Olivia, Layla\"\ne19624,2015/10/21,in the late afternoon,17,\"Eva, Nevaeh, Piper\"\ne19631,2015/10/22,in the early evening,47,\"Olivia, Avery\"\ne19632,2015/10/22,in the morning,54,\"Piper, Rylee, Eva, Piper\"\ne19633,2015/10/22,late in the evening,28,\"Piper, Eva\"\ne19640,2015/10/23,in the morning,46,\"Piper, Piper, Nora, Layla\"\ne19641,2015/10/23,in the early afternoon,22,\"Piper, Nora\"\ne19642,2015/10/23,late in the evening,46,\"Hazel, Nevaeh, Layla, Olivia\"\ne19649,2015/10/24,in the early afternoon,49,\"Rylee, Hazel, Lydia, Nora\"\ne19650,2015/10/24,in the early evening,15,\"Rylee, Nora\"\ne19651,2015/10/24,in the morning,47,\"Kinsley, Nevaeh, Eva\"\ne19652,2015/10/24,in the early evening,54,\"Nora, Claire\"\ne19659,2015/10/25,during lunch hours,14,\"Eva, Claire, Nevaeh\"\ne19660,2015/10/25,during lunch hours,27,Claire\ne19661,2015/10/25,in the early afternoon,18,\"Eva, Olivia, Lydia, Claire\"\ne19662,2015/10/25,in the early evening,13,Piper\ne19669,2015/10/26,in the early evening,35,Hazel\ne19670,2015/10/26,in the late afternoon,20,Piper\ne19671,2015/10/26,in the early evening,21,\"Hazel, Lydia\"\ne19672,2015/10/26,in the morning,19,Piper\ne19679,2015/10/27,during lunch hours,7,Avery\ne19680,2015/10/27,in the early evening,12,Layla\ne19681,2015/10/27,late in the evening,35,\"Avery, Claire, Piper\"\ne19688,2015/10/28,during lunch hours,19,Piper\ne19689,2015/10/28,in the morning,7,\"Layla, Rylee, Kinsley\"\ne19696,2015/10/29,during lunch hours,32,\"Lydia, Claire\"\ne19697,2015/10/29,during lunch hours,53,\"Piper, Layla\"\ne19704,2015/10/30,in the morning,32,\"Piper, Layla, Nevaeh\"\ne19705,2015/10/30,during lunch hours,22,\"Layla, Avery, Eva\"\ne19706,2015/10/30,in the late afternoon,11,Piper\ne19707,2015/10/30,in the early evening,53,Piper\ne19714,2015/10/31,in the early evening,33,Nevaeh\ne19715,2015/10/31,in the early evening,16,\"Nevaeh, Eva, Piper\"\ne19716,2015/10/31,late in the evening,8,\"Eva, Claire, Avery\"\ne19717,2015/10/31,in the early evening,47,\"Nora, Eva, Kinsley, Layla\"\ne19724,2015/11/01,in the early evening,36,\"Claire, Eva\"\ne19725,2015/11/01,in the early evening,54,\"Olivia, Rylee, Layla, Piper\"\ne19731,2015/11/02,late in the evening,42,Claire\ne19732,2015/11/02,in the late afternoon,29,\"Piper, Layla, Piper\"\ne19733,2015/11/02,during lunch hours,15,\"Rylee, Hazel\"\ne19740,2015/11/03,during lunch hours,34,\"Eva, Kinsley\"\ne19741,2015/11/03,late in the evening,19,\"Piper, Lydia\"\ne19748,2015/11/04,in the late afternoon,34,\"Piper, Avery\"\ne19749,2015/11/04,in the early afternoon,55,Layla\ne19750,2015/11/04,in the morning,55,\"Piper, Hazel, Eva\"\ne19757,2015/11/05,in the early evening,34,\"Kinsley, Lydia, Olivia, Claire\"\ne19758,2015/11/05,in the early evening,12,Claire\ne19759,2015/11/05,in the early evening,37,Layla\ne19760,2015/11/05,during lunch hours,36,Piper\ne19767,2015/11/06,late in the evening,37,\"Avery, Kinsley\"\ne19768,2015/11/06,in the morning,28,\"Rylee, Olivia, Eva, Piper\"\ne19775,2015/11/07,in the late afternoon,10,Eva\ne19776,2015/11/07,in the early afternoon,41,Layla\ne19777,2015/11/07,in the early evening,36,\"Layla, Nora, Kinsley\"\ne19778,2015/11/07,in the early evening,44,\"Piper, Nevaeh, Nora\"\ne19785,2015/11/08,during lunch hours,13,\"Avery, Lydia\"\ne19786,2015/11/08,in the early afternoon,44,\"Hazel, Kinsley, Eva\"\ne19787,2015/11/08,in the morning,50,\"Nora, Layla, Kinsley\"\ne19788,2015/11/08,in the morning,51,\"Olivia, Nora, Piper\"\ne19794,2015/11/09,in the early afternoon,10,Hazel\ne19795,2015/11/09,in the early afternoon,14,\"Nora, Olivia, Rylee\"\ne19802,2015/11/10,in the early afternoon,24,\"Kinsley, Piper, Lydia\"\ne19803,2015/11/10,in the early afternoon,42,\"Piper, Olivia, Kinsley, Claire\"\ne19810,2015/11/11,during lunch hours,26,\"Lydia, Avery\"\ne19811,2015/11/11,late in the evening,12,\"Olivia, Nevaeh\"\ne19818,2015/11/12,late in the evening,20,\"Avery, Olivia\"\ne19819,2015/11/12,in the early afternoon,41,\"Eva, Piper, Kinsley, Layla\"\ne19820,2015/11/12,late in the evening,17,\"Layla, Eva, Nevaeh\"\ne19827,2015/11/13,in the late afternoon,9,\"Piper, Kinsley, Layla\"\ne19828,2015/11/13,during lunch hours,19,\"Eva, Nora, Olivia, Claire\"\ne19834,2015/11/14,in the early afternoon,33,\"Rylee, Kinsley, Layla\"\ne19835,2015/11/14,during lunch hours,37,\"Eva, Piper, Claire\"\ne19836,2015/11/14,in the morning,18,Piper\ne19843,2015/11/15,in the early evening,32,\"Piper, Rylee, Layla\"\ne19844,2015/11/15,in the late afternoon,52,\"Piper, Piper\"\ne19851,2015/11/16,in the morning,6,Layla\ne19858,2015/11/17,during lunch hours,8,\"Hazel, Kinsley, Piper\"\ne19859,2015/11/17,late in the evening,12,\"Avery, Lydia\"\ne19860,2015/11/17,in the late afternoon,5,Nevaeh\ne19867,2015/11/18,in the early afternoon,39,\"Nevaeh, Olivia, Hazel\"\ne19868,2015/11/18,in the early afternoon,11,\"Nora, Avery\"\ne19875,2015/11/19,in the late afternoon,53,Eva\ne19876,2015/11/19,in the late afternoon,15,\"Rylee, Hazel, Nevaeh, Lydia\"\ne19883,2015/11/20,in the early evening,37,\"Eva, Hazel, Olivia\"\ne19884,2015/11/20,in the early evening,30,\"Kinsley, Eva, Piper, Hazel\"\ne19885,2015/11/20,during lunch hours,32,Rylee\ne19886,2015/11/20,in the early evening,10,\"Kinsley, Hazel, Nevaeh\"\ne19893,2015/11/21,in the morning,22,\"Piper, Kinsley\"\ne19894,2015/11/21,during lunch hours,6,\"Piper, Kinsley, Layla\"\ne19895,2015/11/21,in the morning,11,\"Nora, Kinsley, Piper\"\ne19901,2015/11/22,in the early evening,10,\"Olivia, Nevaeh, Layla\"\ne19902,2015/11/22,in the late afternoon,39,\"Kinsley, Claire, Piper\"\ne19903,2015/11/22,late in the evening,24,\"Eva, Hazel, Piper, Nevaeh\"\ne19904,2015/11/22,in the late afternoon,40,\"Piper, Nevaeh\"\ne19911,2015/11/23,in the morning,15,\"Lydia, Claire, Layla, Piper\"\ne19912,2015/11/23,late in the evening,53,Rylee\ne19913,2015/11/23,in the late afternoon,19,\"Hazel, Avery, Nevaeh, Kinsley\"\ne19920,2015/11/24,in the morning,36,Rylee\ne19921,2015/11/24,late in the evening,35,\"Kinsley, Layla, Eva\"\ne19922,2015/11/24,in the early evening,27,Avery\ne19929,2015/11/25,in the late afternoon,49,\"Layla, Piper, Piper, Nora\"\ne19930,2015/11/25,during lunch hours,33,\"Lydia, Nevaeh, Piper, Hazel\"\ne19937,2015/11/26,late in the evening,26,\"Eva, Lydia\"\ne19938,2015/11/26,in the early evening,32,\"Lydia, Eva\"\ne19939,2015/11/26,in the morning,13,Piper\ne19946,2015/11/27,in the early evening,12,\"Eva, Hazel, Lydia, Piper\"\ne19947,2015/11/27,in the early evening,40,\"Olivia, Hazel, Nora\"\ne19948,2015/11/27,late in the evening,31,Olivia\ne19955,2015/11/28,during lunch hours,37,Olivia\ne19956,2015/11/28,in the morning,36,\"Rylee, Hazel, Claire\"\ne19957,2015/11/28,in the late afternoon,38,Hazel\ne19964,2015/11/29,in the late afternoon,11,\"Piper, Avery, Nora, Nevaeh\"\ne19965,2015/11/29,in the early evening,25,Hazel\ne19972,2015/11/30,in the late afternoon,5,\"Lydia, Kinsley, Olivia\"\ne19973,2015/11/30,in the early evening,32,\"Nevaeh, Hazel, Eva\"\ne19974,2015/11/30,in the late afternoon,42,\"Kinsley, Olivia\"\ne19981,2015/12/01,in the late afternoon,32,\"Olivia, Lydia\"\ne19982,2015/12/01,during lunch hours,49,\"Rylee, Piper, Nora, Olivia\"\ne19983,2015/12/01,late in the evening,39,\"Nevaeh, Nora, Olivia\"\ne19990,2015/12/02,late in the evening,40,\"Claire, Avery\"\ne19991,2015/12/02,during lunch hours,50,Piper\ne19998,2015/12/03,in the late afternoon,27,\"Eva, Avery, Nevaeh, Rylee\"\ne19999,2015/12/03,in the early evening,54,\"Nora, Olivia\"\ne20006,2015/12/04,during lunch hours,18,\"Kinsley, Lydia\"\ne20012,2015/12/05,in the early afternoon,48,\"Kinsley, Lydia, Claire\"\ne20013,2015/12/05,in the early evening,17,Kinsley\ne20020,2015/12/06,in the early afternoon,11,Lydia\ne20021,2015/12/06,late in the evening,49,\"Nora, Piper, Nevaeh\"\ne20028,2015/12/07,in the early evening,19,\"Piper, Rylee\"\ne20029,2015/12/07,late in the evening,47,\"Piper, Hazel, Kinsley, Avery\"\ne20030,2015/12/07,in the late afternoon,15,Rylee\ne20037,2015/12/08,late in the evening,21,\"Claire, Piper\"\ne20038,2015/12/08,in the late afternoon,19,\"Eva, Kinsley, Claire, Nevaeh\"\ne20039,2015/12/08,in the late afternoon,37,\"Kinsley, Rylee, Claire, Olivia\"\ne20046,2015/12/09,late in the evening,33,\"Eva, Lydia\"\ne20047,2015/12/09,in the morning,39,\"Piper, Piper, Layla\"\ne20054,2015/12/10,in the early evening,27,\"Eva, Piper, Hazel\"\ne20055,2015/12/10,in the late afternoon,21,\"Avery, Olivia, Kinsley\"\ne20056,2015/12/10,in the early afternoon,38,\"Avery, Kinsley\"\ne20063,2015/12/11,late in the evening,41,\"Layla, Hazel, Olivia, Nora\"\ne20064,2015/12/11,in the morning,41,Lydia\ne20071,2015/12/12,during lunch hours,54,\"Eva, Piper, Nora\"\ne20072,2015/12/12,in the morning,23,\"Lydia, Eva, Claire, Layla\"\ne20073,2015/12/12,during lunch hours,10,\"Hazel, Piper\"\ne20074,2015/12/12,late in the evening,38,\"Hazel, Claire, Kinsley, Nevaeh\"\ne20081,2015/12/13,in the late afternoon,48,Claire\ne20082,2015/12/13,in the late afternoon,43,\"Piper, Olivia, Nora, Hazel\"\ne20083,2015/12/13,in the early afternoon,33,\"Eva, Lydia\"\ne20090,2015/12/14,late in the evening,46,Piper\ne20091,2015/12/14,late in the evening,33,\"Eva, Layla, Nevaeh\"\ne20098,2015/12/15,in the early afternoon,42,\"Layla, Piper, Olivia, Avery\"\ne20105,2015/12/16,in the early afternoon,31,\"Rylee, Layla, Lydia\"\ne20106,2015/12/16,during lunch hours,28,\"Claire, Rylee, Hazel\"\ne20113,2015/12/17,late in the evening,45,\"Kinsley, Hazel, Eva, Layla\"\ne20120,2015/12/18,in the late afternoon,27,\"Olivia, Eva, Piper\"\ne20121,2015/12/18,in the early afternoon,10,\"Claire, Hazel, Kinsley\"\ne20122,2015/12/18,in the early evening,36,\"Eva, Piper\"\ne20128,2015/12/19,during lunch hours,32,\"Lydia, Piper, Piper, Rylee\"\ne20129,2015/12/19,in the early afternoon,18,\"Avery, Rylee\"\ne20130,2015/12/19,in the morning,12,\"Claire, Kinsley, Hazel, Olivia\"\ne20131,2015/12/19,in the early evening,50,Rylee\ne20138,2015/12/20,in the late afternoon,16,\"Layla, Nevaeh, Nora\"\ne20139,2015/12/20,in the morning,15,\"Avery, Nevaeh, Hazel, Nora\"\ne20140,2015/12/20,during lunch hours,20,\"Rylee, Olivia, Lydia\"\ne20141,2015/12/20,in the early afternoon,31,Nevaeh\ne20148,2015/12/21,late in the evening,48,Kinsley\ne20149,2015/12/21,in the early evening,50,\"Hazel, Claire, Nevaeh\"\ne20150,2015/12/21,in the early evening,21,Nevaeh\ne20151,2015/12/21,in the early afternoon,33,\"Rylee, Avery, Claire, Nevaeh\"\ne20158,2015/12/22,during lunch hours,38,\"Nora, Layla\"\ne20159,2015/12/22,in the morning,22,\"Piper, Olivia, Piper\"\ne20160,2015/12/22,during lunch hours,41,Eva\ne20167,2015/12/23,during lunch hours,34,\"Piper, Olivia, Lydia, Claire\"\ne20168,2015/12/23,in the early afternoon,39,Avery\ne20169,2015/12/23,during lunch hours,51,\"Kinsley, Avery\"\ne20175,2015/12/24,in the early afternoon,21,\"Piper, Eva, Layla, Rylee\"\ne20176,2015/12/24,in the early afternoon,19,Claire\ne20177,2015/12/24,in the morning,52,Nevaeh\ne20184,2015/12/25,in the early afternoon,13,\"Kinsley, Piper, Hazel, Olivia\"\ne20185,2015/12/25,during lunch hours,33,Eva\ne20186,2015/12/25,in the late afternoon,8,\"Hazel, Layla, Piper\"\ne20187,2015/12/25,late in the evening,46,\"Claire, Piper\"\ne20194,2015/12/26,late in the evening,8,\"Claire, Avery, Lydia, Kinsley\"\ne20195,2015/12/26,in the morning,44,Piper\ne20196,2015/12/26,late in the evening,10,\"Lydia, Nora, Kinsley\"\ne20203,2015/12/27,in the early evening,16,Claire\ne20204,2015/12/27,in the late afternoon,7,\"Layla, Avery\"\ne20211,2015/12/28,in the early afternoon,48,Hazel\ne20212,2015/12/28,during lunch hours,52,\"Nevaeh, Hazel, Piper\"\ne20213,2015/12/28,in the morning,29,Piper\ne20220,2015/12/29,in the morning,21,Piper\ne20221,2015/12/29,in the late afternoon,48,\"Lydia, Piper, Claire\"\ne20222,2015/12/29,in the late afternoon,38,\"Nevaeh, Claire, Eva, Avery\"\ne20229,2015/12/30,during lunch hours,53,Piper\ne20230,2015/12/30,in the early evening,20,\"Claire, Piper, Kinsley, Nora\"\ne20231,2015/12/30,in the early afternoon,32,Olivia\ne20238,2015/12/31,in the morning,28,\"Eva, Hazel, Kinsley, Rylee\"\ne20239,2015/12/31,in the early evening,32,\"Nevaeh, Lydia\"\ne20434,2016/01/01,in the morning,14,\"Eva, Lydia\"\ne20435,2016/01/01,late in the evening,38,\"Layla, Avery, Lydia\"\ne20436,2016/01/01,in the early afternoon,9,\"Lydia, Piper, Rylee, Olivia\"\ne20437,2016/01/01,in the early afternoon,10,Piper\ne20444,2016/01/02,in the late afternoon,42,\"Olivia, Claire, Eva, Kinsley\"\ne20445,2016/01/02,late in the evening,19,\"Avery, Olivia, Lydia\"\ne20446,2016/01/02,in the morning,13,Nevaeh\ne20447,2016/01/02,late in the evening,33,\"Lydia, Kinsley, Layla, Rylee\"\ne20454,2016/01/03,during lunch hours,52,\"Piper, Nevaeh, Olivia, Hazel\"\ne20455,2016/01/03,in the early afternoon,47,Piper\ne20461,2016/01/04,in the late afternoon,32,\"Olivia, Layla, Lydia\"\ne20462,2016/01/04,in the early evening,39,\"Piper, Hazel, Claire, Olivia\"\ne20463,2016/01/04,late in the evening,13,\"Lydia, Piper, Claire\"\ne20470,2016/01/05,in the morning,6,Piper\ne20471,2016/01/05,late in the evening,6,Rylee\ne20472,2016/01/05,in the early evening,12,\"Piper, Nevaeh\"\ne20473,2016/01/05,in the early afternoon,53,\"Layla, Eva, Avery\"\ne20480,2016/01/06,in the early evening,41,\"Lydia, Eva\"\ne20481,2016/01/06,during lunch hours,53,\"Olivia, Piper, Avery, Eva\"\ne20488,2016/01/07,in the late afternoon,22,\"Olivia, Hazel, Layla\"\ne20489,2016/01/07,late in the evening,8,\"Piper, Kinsley, Nora\"\ne20490,2016/01/07,in the early afternoon,8,\"Lydia, Olivia, Piper, Rylee\"\ne20496,2016/01/08,during lunch hours,45,\"Hazel, Olivia, Kinsley\"\ne20497,2016/01/08,during lunch hours,12,Layla\ne20504,2016/01/09,during lunch hours,14,Claire\ne20505,2016/01/09,during lunch hours,6,\"Olivia, Layla, Hazel, Nevaeh\"\ne20506,2016/01/09,late in the evening,14,\"Layla, Avery, Olivia\"\ne20513,2016/01/10,late in the evening,17,\"Piper, Rylee\"\ne20514,2016/01/10,in the morning,54,Lydia\ne20521,2016/01/11,in the early afternoon,32,\"Layla, Kinsley, Piper, Nora\"\ne20522,2016/01/11,in the early evening,48,\"Piper, Eva, Nevaeh, Kinsley\"\ne20523,2016/01/11,in the early afternoon,7,\"Nevaeh, Piper\"\ne20530,2016/01/12,in the late afternoon,47,\"Rylee, Avery, Kinsley, Hazel\"\ne20531,2016/01/12,in the late afternoon,47,Kinsley\ne20532,2016/01/12,late in the evening,50,Kinsley\ne20533,2016/01/12,late in the evening,55,\"Nevaeh, Kinsley, Claire, Rylee\"\ne20540,2016/01/13,in the early afternoon,34,\"Olivia, Avery, Layla\"\ne20541,2016/01/13,in the early afternoon,23,\"Claire, Nevaeh, Piper, Kinsley\"\ne20547,2016/01/14,in the early evening,37,\"Eva, Piper, Avery, Olivia\"\ne20548,2016/01/14,in the late afternoon,10,\"Olivia, Eva, Lydia\"\ne20549,2016/01/14,in the late afternoon,14,\"Rylee, Avery, Hazel\"\ne20556,2016/01/15,during lunch hours,14,Piper\ne20557,2016/01/15,during lunch hours,26,\"Eva, Lydia, Claire\"\ne20558,2016/01/15,in the early afternoon,22,\"Claire, Rylee, Piper, Kinsley\"\ne20559,2016/01/15,in the late afternoon,23,Hazel\ne20566,2016/01/16,during lunch hours,24,\"Claire, Avery\"\ne20567,2016/01/16,in the late afternoon,6,\"Kinsley, Rylee\"\ne20568,2016/01/16,late in the evening,24,Nevaeh\ne20569,2016/01/16,in the early afternoon,32,Nevaeh\ne20576,2016/01/17,in the early afternoon,50,Olivia\ne20577,2016/01/17,in the late afternoon,44,\"Eva, Kinsley, Nevaeh, Olivia\"\ne20578,2016/01/17,in the late afternoon,23,Hazel\ne20585,2016/01/18,during lunch hours,14,\"Avery, Nora\"\ne20586,2016/01/18,in the early afternoon,24,\"Nora, Olivia\"\ne20587,2016/01/18,in the late afternoon,33,\"Hazel, Nora\"\ne20588,2016/01/18,late in the evening,25,\"Lydia, Eva, Avery\"\ne20595,2016/01/19,in the morning,41,\"Nora, Piper\"\ne20596,2016/01/19,late in the evening,47,Rylee\ne20597,2016/01/19,in the late afternoon,6,\"Hazel, Kinsley, Nevaeh\"\ne20598,2016/01/19,in the late afternoon,30,Avery\ne20605,2016/01/20,late in the evening,29,\"Kinsley, Layla\"\ne20606,2016/01/20,in the morning,13,Piper\ne20607,2016/01/20,late in the evening,16,Kinsley\ne20614,2016/01/21,in the early evening,10,Avery\ne20615,2016/01/21,during lunch hours,17,\"Lydia, Olivia, Nora\"\ne20616,2016/01/21,in the late afternoon,25,\"Rylee, Kinsley\"\ne20623,2016/01/22,in the morning,13,\"Hazel, Avery, Nevaeh, Lydia\"\ne20624,2016/01/22,in the early evening,42,\"Kinsley, Eva\"\ne20631,2016/01/23,in the early evening,40,Rylee\ne20632,2016/01/23,in the morning,26,\"Piper, Hazel, Rylee\"\ne20633,2016/01/23,in the morning,51,\"Rylee, Nevaeh\"\ne20634,2016/01/23,late in the evening,35,\"Piper, Kinsley, Hazel, Piper\"\ne20641,2016/01/24,in the early evening,36,Piper\ne20642,2016/01/24,in the late afternoon,36,Layla\ne20649,2016/01/25,late in the evening,43,\"Kinsley, Claire, Layla, Nevaeh\"\ne20650,2016/01/25,in the early evening,29,Kinsley\ne20657,2016/01/26,in the late afternoon,30,\"Nevaeh, Kinsley, Rylee, Olivia\"\ne20658,2016/01/26,late in the evening,15,\"Lydia, Piper, Avery\"\ne20659,2016/01/26,in the early afternoon,10,\"Nevaeh, Hazel\"\ne20666,2016/01/27,in the late afternoon,51,\"Layla, Hazel, Piper\"\ne20667,2016/01/27,late in the evening,17,\"Piper, Rylee\"\ne20668,2016/01/27,during lunch hours,55,\"Layla, Avery, Nora\"\ne20669,2016/01/27,during lunch hours,35,\"Layla, Hazel, Nora, Nevaeh\"\ne20676,2016/01/28,in the morning,54,\"Layla, Kinsley\"\ne20677,2016/01/28,during lunch hours,53,Avery\ne20678,2016/01/28,in the late afternoon,20,Nora\ne20685,2016/01/29,in the early afternoon,12,\"Lydia, Nora\"\ne20686,2016/01/29,in the morning,40,Hazel\ne20687,2016/01/29,in the morning,51,\"Layla, Hazel, Claire, Kinsley\"\ne20693,2016/01/30,during lunch hours,33,\"Kinsley, Eva, Piper\"\ne20694,2016/01/30,in the early evening,20,\"Nora, Layla, Olivia\"\ne20695,2016/01/30,in the early evening,20,\"Nora, Layla, Nevaeh, Olivia\"\ne20702,2016/01/31,in the morning,34,Nora\ne20703,2016/01/31,late in the evening,15,\"Layla, Lydia\"\ne20710,2016/02/01,in the late afternoon,16,\"Nevaeh, Piper\"\ne20711,2016/02/01,in the late afternoon,23,Hazel\ne20712,2016/02/01,in the morning,50,\"Kinsley, Piper, Lydia\"\ne20713,2016/02/01,during lunch hours,34,\"Layla, Lydia, Claire\"\ne20720,2016/02/02,in the early afternoon,15,Claire\ne20721,2016/02/02,in the early afternoon,19,\"Kinsley, Piper\"\ne20722,2016/02/02,in the early evening,52,Rylee\ne20729,2016/02/03,in the early afternoon,21,\"Olivia, Kinsley, Claire\"\ne20730,2016/02/03,in the early afternoon,17,\"Olivia, Nora, Nevaeh, Hazel\"\ne20731,2016/02/03,late in the evening,48,\"Claire, Avery, Eva, Rylee\"\ne20737,2016/02/04,in the late afternoon,21,Eva\ne20738,2016/02/04,in the early evening,47,\"Rylee, Piper, Eva, Piper\"\ne20739,2016/02/04,in the early evening,23,\"Claire, Rylee, Nevaeh\"\ne20746,2016/02/05,in the late afternoon,26,\"Olivia, Piper\"\ne20747,2016/02/05,in the early evening,39,\"Olivia, Kinsley, Claire\"\ne20748,2016/02/05,in the early evening,53,Rylee\ne20755,2016/02/06,in the early afternoon,53,Layla\ne20756,2016/02/06,in the late afternoon,39,\"Claire, Rylee\"\ne20757,2016/02/06,in the early afternoon,47,\"Piper, Kinsley, Olivia, Layla\"\ne20764,2016/02/07,late in the evening,44,\"Hazel, Nevaeh, Piper, Claire\"\ne20765,2016/02/07,in the late afternoon,52,\"Hazel, Nevaeh, Lydia, Avery\"\ne20766,2016/02/07,during lunch hours,22,Layla\ne20773,2016/02/08,in the late afternoon,8,\"Nora, Rylee, Nevaeh\"\ne20774,2016/02/08,late in the evening,31,\"Olivia, Layla, Piper, Avery\"\ne20781,2016/02/09,in the early afternoon,42,\"Kinsley, Hazel, Eva\"\ne20782,2016/02/09,in the early afternoon,33,Kinsley\ne20783,2016/02/09,late in the evening,21,\"Lydia, Olivia, Layla, Rylee\"\ne20784,2016/02/09,late in the evening,22,\"Layla, Eva\"\ne20791,2016/02/10,in the early evening,22,\"Rylee, Layla, Olivia\"\ne20798,2016/02/11,late in the evening,6,\"Piper, Layla, Nevaeh\"\ne20799,2016/02/11,in the early afternoon,31,Hazel\ne20800,2016/02/11,in the morning,17,Nevaeh\ne20801,2016/02/11,in the late afternoon,49,Claire\ne20808,2016/02/12,in the morning,50,\"Nevaeh, Hazel, Piper, Olivia\"\ne20809,2016/02/12,in the morning,36,\"Avery, Lydia, Hazel, Claire\"\ne20810,2016/02/12,in the early afternoon,36,\"Eva, Claire\"\ne20811,2016/02/12,in the late afternoon,35,\"Lydia, Hazel, Eva\"\ne20818,2016/02/13,late in the evening,54,\"Nevaeh, Eva, Piper, Rylee\"\ne20819,2016/02/13,in the morning,7,\"Lydia, Piper, Hazel\"\ne20826,2016/02/14,in the early afternoon,18,Rylee\ne20827,2016/02/14,during lunch hours,16,\"Piper, Avery\"\ne20828,2016/02/14,during lunch hours,21,\"Layla, Eva, Rylee\"\ne20835,2016/02/15,in the morning,19,\"Nora, Piper, Piper, Rylee\"\ne20836,2016/02/15,during lunch hours,53,\"Olivia, Layla, Piper\"\ne20843,2016/02/16,in the morning,33,\"Olivia, Hazel, Piper, Layla\"\ne20844,2016/02/16,in the late afternoon,28,\"Layla, Nora, Avery\"\ne20845,2016/02/16,in the late afternoon,48,\"Avery, Lydia\"\ne20852,2016/02/17,late in the evening,50,\"Rylee, Claire, Lydia\"\ne20853,2016/02/17,in the early evening,35,Olivia\ne20854,2016/02/17,in the late afternoon,27,Piper\ne20861,2016/02/18,in the late afternoon,42,\"Kinsley, Lydia\"\ne20862,2016/02/18,in the morning,8,\"Kinsley, Olivia, Lydia, Layla\"\ne20869,2016/02/19,in the morning,24,\"Nora, Eva, Claire, Kinsley\"\ne20870,2016/02/19,in the early evening,13,\"Rylee, Nora\"\ne20877,2016/02/20,late in the evening,24,\"Nora, Piper, Layla, Rylee\"\ne20878,2016/02/20,during lunch hours,42,Layla\ne20879,2016/02/20,late in the evening,54,\"Avery, Olivia, Kinsley\"\ne20880,2016/02/20,during lunch hours,15,\"Avery, Layla\"\ne20887,2016/02/21,late in the evening,34,\"Claire, Eva, Olivia, Rylee\"\ne20888,2016/02/21,in the early evening,51,Nevaeh\ne20895,2016/02/22,in the morning,13,\"Lydia, Hazel, Avery, Nevaeh\"\ne20896,2016/02/22,in the early afternoon,11,Rylee\ne20903,2016/02/23,in the late afternoon,10,\"Piper, Lydia, Hazel, Rylee\"\ne20910,2016/02/24,late in the evening,15,Avery\ne20911,2016/02/24,in the late afternoon,28,\"Claire, Rylee\"\ne20918,2016/02/25,in the morning,53,\"Piper, Rylee\"\ne20919,2016/02/25,late in the evening,32,\"Lydia, Claire, Olivia\"\ne20926,2016/02/26,late in the evening,25,\"Piper, Olivia, Piper\"\ne20927,2016/02/26,in the early afternoon,31,Layla\ne20934,2016/02/27,during lunch hours,43,\"Avery, Layla, Claire, Lydia\"\ne20935,2016/02/27,during lunch hours,21,Claire\ne20936,2016/02/27,in the early afternoon,36,\"Nevaeh, Layla, Avery\"\ne20943,2016/02/28,during lunch hours,53,\"Nevaeh, Rylee\"\ne20944,2016/02/28,late in the evening,28,\"Olivia, Layla, Nora\"\ne20950,2016/02/29,in the early afternoon,26,\"Nora, Hazel\"\ne20951,2016/02/29,during lunch hours,10,\"Avery, Eva, Claire\"\ne20952,2016/02/29,in the early afternoon,33,Claire\ne20959,2016/03/01,in the morning,31,\"Claire, Eva, Piper\"\ne20960,2016/03/01,late in the evening,5,\"Lydia, Hazel\"\ne20961,2016/03/01,during lunch hours,34,\"Avery, Eva, Olivia\"\ne20968,2016/03/02,during lunch hours,21,\"Olivia, Piper, Lydia\"\ne20969,2016/03/02,in the late afternoon,43,\"Nora, Hazel\"\ne20970,2016/03/02,in the late afternoon,48,Kinsley\ne20977,2016/03/03,in the early evening,5,\"Hazel, Avery, Layla\"\ne20983,2016/03/04,late in the evening,8,\"Nora, Piper, Layla\"\ne20984,2016/03/04,in the early afternoon,37,Claire\ne20985,2016/03/04,in the early afternoon,7,\"Layla, Piper, Rylee\"\ne20992,2016/03/05,in the late afternoon,37,Piper\ne20999,2016/03/06,in the morning,51,Avery\ne21000,2016/03/06,in the early afternoon,49,Olivia\ne21001,2016/03/06,in the late afternoon,48,Nevaeh\ne21002,2016/03/06,in the late afternoon,7,\"Piper, Eva, Nora\"\ne21009,2016/03/07,in the early afternoon,20,\"Lydia, Eva\"\ne21010,2016/03/07,late in the evening,13,\"Hazel, Layla, Nora\"\ne21011,2016/03/07,during lunch hours,53,\"Avery, Kinsley\"\ne21018,2016/03/08,in the early afternoon,8,\"Olivia, Piper, Nora, Claire\"\ne21019,2016/03/08,in the morning,46,Nevaeh\ne21025,2016/03/09,late in the evening,49,\"Nevaeh, Layla\"\ne21026,2016/03/09,in the morning,41,\"Piper, Eva\"\ne21027,2016/03/09,during lunch hours,7,\"Layla, Olivia, Eva\"\ne21034,2016/03/10,in the early afternoon,49,Eva\ne21035,2016/03/10,in the morning,21,\"Olivia, Avery, Rylee\"\ne21036,2016/03/10,in the morning,22,\"Claire, Hazel\"\ne21043,2016/03/11,in the morning,55,\"Lydia, Layla, Rylee, Piper\"\ne21044,2016/03/11,in the early evening,7,\"Nora, Layla, Avery\"\ne21051,2016/03/12,during lunch hours,42,\"Nora, Layla\"\ne21058,2016/03/13,in the early evening,29,\"Piper, Rylee, Layla\"\ne21059,2016/03/13,in the early afternoon,47,\"Kinsley, Nevaeh, Eva\"\ne21060,2016/03/13,in the early afternoon,49,\"Hazel, Kinsley, Nevaeh, Eva\"\ne21067,2016/03/14,in the late afternoon,39,\"Claire, Hazel\"\ne21068,2016/03/14,in the early evening,39,\"Kinsley, Layla\"\ne21069,2016/03/14,during lunch hours,10,\"Layla, Olivia\"\ne21070,2016/03/14,in the early afternoon,18,\"Olivia, Eva, Piper, Nora\"\ne21077,2016/03/15,during lunch hours,49,Piper\ne21078,2016/03/15,in the early evening,51,Nora\ne21084,2016/03/16,late in the evening,51,\"Hazel, Olivia\"\ne21085,2016/03/16,in the early afternoon,37,Hazel\ne21092,2016/03/17,during lunch hours,27,Hazel\ne21093,2016/03/17,during lunch hours,33,\"Kinsley, Layla\"\ne21094,2016/03/17,in the morning,16,\"Piper, Nevaeh, Nora, Hazel\"\ne21101,2016/03/18,in the early afternoon,53,\"Piper, Eva\"\ne21102,2016/03/18,during lunch hours,25,\"Eva, Layla, Rylee, Claire\"\ne21103,2016/03/18,in the morning,40,Lydia\ne21104,2016/03/18,in the morning,52,\"Piper, Avery, Lydia\"\ne21111,2016/03/19,in the early afternoon,18,\"Claire, Olivia, Hazel, Nora\"\ne21112,2016/03/19,late in the evening,30,Layla\ne21113,2016/03/19,in the morning,42,Kinsley\ne21120,2016/03/20,in the late afternoon,27,\"Nora, Eva\"\ne21121,2016/03/20,late in the evening,44,Nora\ne21122,2016/03/20,in the late afternoon,46,\"Piper, Piper, Nora\"\ne21129,2016/03/21,in the late afternoon,18,Eva\ne21130,2016/03/21,in the morning,23,\"Piper, Olivia, Piper, Claire\"\ne21131,2016/03/21,in the early afternoon,21,\"Layla, Claire\"\ne21138,2016/03/22,during lunch hours,32,\"Layla, Olivia, Lydia, Avery\"\ne21139,2016/03/22,late in the evening,31,\"Kinsley, Nora, Piper\"\ne21140,2016/03/22,in the early afternoon,44,\"Layla, Rylee, Hazel\"\ne21141,2016/03/22,in the late afternoon,43,\"Kinsley, Nevaeh, Piper, Layla\"\ne21148,2016/03/23,late in the evening,37,Kinsley\ne21149,2016/03/23,in the morning,22,\"Olivia, Nevaeh, Rylee\"\ne21150,2016/03/23,in the early afternoon,37,\"Piper, Piper, Kinsley, Nevaeh\"\ne21157,2016/03/24,in the morning,32,\"Eva, Piper\"\ne21158,2016/03/24,in the late afternoon,32,\"Layla, Avery, Claire\"\ne21159,2016/03/24,during lunch hours,45,Kinsley\ne21160,2016/03/24,late in the evening,7,Nevaeh\ne21167,2016/03/25,in the early evening,31,\"Eva, Layla, Olivia, Piper\"\ne21168,2016/03/25,in the early evening,40,\"Rylee, Layla\"\ne21169,2016/03/25,in the morning,17,\"Nevaeh, Avery, Lydia\"\ne21176,2016/03/26,during lunch hours,38,\"Olivia, Claire\"\ne21182,2016/03/27,in the early evening,17,Nora\ne21183,2016/03/27,in the morning,10,\"Nora, Piper\"\ne21184,2016/03/27,during lunch hours,38,\"Piper, Lydia, Hazel\"\ne21190,2016/03/28,in the early evening,48,\"Layla, Rylee\"\ne21191,2016/03/28,in the early afternoon,42,\"Olivia, Avery, Eva\"\ne21192,2016/03/28,in the early afternoon,48,\"Nevaeh, Claire\"\ne21198,2016/03/29,in the late afternoon,32,\"Piper, Nevaeh, Lydia, Hazel\"\ne21199,2016/03/29,in the late afternoon,53,\"Piper, Piper, Eva\"\ne21200,2016/03/29,late in the evening,13,\"Lydia, Piper\"\ne21206,2016/03/30,in the early afternoon,36,\"Piper, Hazel\"\ne21207,2016/03/30,during lunch hours,49,Nora\ne21213,2016/03/31,in the late afternoon,51,\"Nora, Kinsley, Eva\"\ne21214,2016/03/31,late in the evening,42,\"Lydia, Rylee, Claire\"\ne21215,2016/03/31,late in the evening,27,\"Eva, Lydia, Piper, Nora\"\ne21221,2016/04/01,in the early afternoon,43,\"Piper, Eva, Avery, Piper\"\ne21222,2016/04/01,in the morning,6,\"Eva, Claire, Lydia, Piper\"\ne21223,2016/04/01,in the early afternoon,27,\"Avery, Layla\"\ne21229,2016/04/02,during lunch hours,42,\"Kinsley, Claire, Layla\"\ne21230,2016/04/02,late in the evening,9,\"Rylee, Piper, Eva, Avery\"\ne21231,2016/04/02,in the late afternoon,6,\"Nora, Lydia, Olivia, Avery\"\ne21232,2016/04/02,in the late afternoon,24,\"Layla, Avery, Kinsley, Eva\"\ne21239,2016/04/03,late in the evening,17,Layla\ne21246,2016/04/04,in the morning,12,Hazel\ne21247,2016/04/04,in the early evening,5,Nora\ne21254,2016/04/05,late in the evening,44,\"Nevaeh, Layla, Piper, Nora\"\ne21255,2016/04/05,in the early evening,15,\"Rylee, Nora\"\ne21256,2016/04/05,in the late afternoon,6,Olivia\ne21263,2016/04/06,in the early afternoon,44,\"Avery, Hazel\"\ne21264,2016/04/06,in the early evening,40,\"Piper, Kinsley, Nora, Nevaeh\"\ne21265,2016/04/06,in the early afternoon,54,\"Avery, Nevaeh\"\ne21266,2016/04/06,in the morning,32,\"Piper, Nevaeh, Avery\"\ne21273,2016/04/07,late in the evening,40,\"Nevaeh, Piper\"\ne21274,2016/04/07,in the early afternoon,45,Nevaeh\ne21275,2016/04/07,late in the evening,34,\"Piper, Avery\"\ne21282,2016/04/08,in the late afternoon,53,\"Rylee, Lydia\"\ne21283,2016/04/08,during lunch hours,11,\"Avery, Lydia, Nora, Claire\"\ne21284,2016/04/08,in the morning,10,Olivia\ne21291,2016/04/09,late in the evening,18,\"Claire, Piper, Hazel, Kinsley\"\ne21292,2016/04/09,late in the evening,15,\"Nevaeh, Nora, Avery, Kinsley\"\ne21293,2016/04/09,in the early afternoon,49,\"Piper, Layla, Nora\"\ne21300,2016/04/10,in the late afternoon,54,Layla\ne21301,2016/04/10,in the early afternoon,46,\"Kinsley, Piper\"\ne21302,2016/04/10,in the late afternoon,55,Piper\ne21309,2016/04/11,during lunch hours,7,\"Hazel, Avery, Lydia, Kinsley\"\ne21310,2016/04/11,in the early evening,24,Hazel\ne21311,2016/04/11,late in the evening,19,\"Nora, Avery, Piper, Claire\"\ne21318,2016/04/12,in the early evening,41,Avery\ne21319,2016/04/12,in the morning,41,\"Piper, Claire\"\ne21320,2016/04/12,in the early evening,35,Piper\ne21321,2016/04/12,in the early afternoon,47,Hazel\ne21328,2016/04/13,during lunch hours,32,Piper\ne21329,2016/04/13,during lunch hours,30,Hazel\ne21336,2016/04/14,in the late afternoon,8,\"Lydia, Rylee, Layla\"\ne21337,2016/04/14,in the morning,41,Eva\ne21338,2016/04/14,in the early afternoon,51,\"Piper, Nora\"\ne21345,2016/04/15,in the early afternoon,22,\"Avery, Piper, Rylee, Kinsley\"\ne21346,2016/04/15,late in the evening,25,\"Eva, Nora\"\ne21347,2016/04/15,in the early afternoon,18,\"Nevaeh, Olivia, Piper\"\ne21354,2016/04/16,during lunch hours,7,\"Rylee, Avery, Lydia, Eva\"\ne21355,2016/04/16,in the morning,5,\"Piper, Olivia, Kinsley\"\ne21356,2016/04/16,during lunch hours,41,\"Nora, Avery, Olivia, Piper\"\ne21357,2016/04/16,during lunch hours,30,\"Rylee, Piper, Kinsley\"\ne21364,2016/04/17,in the early afternoon,17,\"Avery, Layla, Claire\"\ne21365,2016/04/17,in the early afternoon,45,Claire\ne21366,2016/04/17,in the morning,44,\"Layla, Hazel\"\ne21373,2016/04/18,in the early afternoon,14,\"Layla, Eva, Piper\"\ne21374,2016/04/18,late in the evening,38,\"Kinsley, Piper, Olivia, Lydia\"\ne21375,2016/04/18,in the morning,52,Eva\ne21382,2016/04/19,late in the evening,50,Kinsley\ne21383,2016/04/19,in the late afternoon,42,\"Nevaeh, Eva, Piper, Olivia\"\ne21384,2016/04/19,late in the evening,27,\"Kinsley, Piper\"\ne21385,2016/04/19,in the late afternoon,20,\"Nevaeh, Kinsley, Claire\"\ne21392,2016/04/20,late in the evening,31,\"Claire, Lydia, Layla, Nora\"\ne21393,2016/04/20,in the early evening,18,Avery\ne21400,2016/04/21,during lunch hours,23,Avery\ne21401,2016/04/21,late in the evening,16,\"Nora, Olivia, Hazel, Piper\"\ne21402,2016/04/21,in the late afternoon,48,\"Layla, Avery\"\ne21409,2016/04/22,in the early afternoon,8,\"Olivia, Piper\"\ne21410,2016/04/22,late in the evening,40,\"Lydia, Rylee\"\ne21411,2016/04/22,in the early evening,16,\"Kinsley, Piper\"\ne21418,2016/04/23,in the early afternoon,15,\"Eva, Layla, Lydia, Olivia\"\ne21419,2016/04/23,in the late afternoon,47,Nevaeh\ne21420,2016/04/23,in the morning,32,\"Nevaeh, Hazel\"\ne21421,2016/04/23,late in the evening,23,\"Layla, Nora, Rylee, Eva\"\ne21428,2016/04/24,in the late afternoon,15,\"Rylee, Kinsley\"\ne21429,2016/04/24,late in the evening,8,Hazel\ne21436,2016/04/25,late in the evening,14,Rylee\ne21437,2016/04/25,in the morning,29,Nora\ne21438,2016/04/25,late in the evening,32,\"Piper, Nora\"\ne21445,2016/04/26,in the late afternoon,17,\"Hazel, Layla, Piper\"\ne21446,2016/04/26,in the early evening,19,\"Piper, Rylee, Olivia, Nevaeh\"\ne21453,2016/04/27,in the late afternoon,20,Piper\ne21454,2016/04/27,during lunch hours,42,Hazel\ne21460,2016/04/28,in the early evening,38,\"Nevaeh, Olivia, Rylee, Avery\"\ne21461,2016/04/28,in the early afternoon,49,Lydia\ne21462,2016/04/28,during lunch hours,15,\"Avery, Piper\"\ne21469,2016/04/29,in the morning,48,\"Piper, Layla, Nora\"\ne21470,2016/04/29,late in the evening,17,\"Avery, Hazel, Nora, Rylee\"\ne21477,2016/04/30,in the morning,46,Olivia\ne21478,2016/04/30,in the early evening,8,\"Nevaeh, Eva, Rylee\"\ne21484,2016/05/01,during lunch hours,14,\"Eva, Nevaeh\"\ne21485,2016/05/01,late in the evening,49,Avery\ne21486,2016/05/01,in the late afternoon,25,Claire\ne21493,2016/05/02,in the late afternoon,35,Hazel\ne21494,2016/05/02,late in the evening,20,\"Piper, Piper\"\ne21495,2016/05/02,in the early evening,25,Avery\ne21496,2016/05/02,in the early evening,17,\"Kinsley, Rylee, Nevaeh\"\ne21502,2016/05/03,in the late afternoon,45,Lydia\ne21503,2016/05/03,in the morning,37,\"Avery, Nevaeh, Claire\"\ne21504,2016/05/03,in the early afternoon,9,\"Nora, Piper, Nevaeh, Rylee\"\ne21505,2016/05/03,in the early evening,26,\"Piper, Eva\"\ne21512,2016/05/04,in the early evening,14,\"Avery, Eva, Lydia\"\ne21513,2016/05/04,during lunch hours,54,\"Layla, Nora, Nevaeh\"\ne21514,2016/05/04,late in the evening,45,Piper\ne21521,2016/05/05,in the morning,23,\"Rylee, Claire, Piper, Lydia\"\ne21522,2016/05/05,during lunch hours,22,\"Nevaeh, Rylee, Layla\"\ne21523,2016/05/05,in the early afternoon,42,\"Layla, Lydia, Kinsley\"\ne21530,2016/05/06,in the early afternoon,40,\"Claire, Nora, Kinsley\"\ne21531,2016/05/06,during lunch hours,7,\"Piper, Eva, Kinsley, Olivia\"\ne21532,2016/05/06,in the early afternoon,37,\"Avery, Olivia, Layla, Nevaeh\"\ne21539,2016/05/07,in the late afternoon,50,Lydia\ne21540,2016/05/07,in the late afternoon,41,\"Avery, Lydia\"\ne21541,2016/05/07,in the early evening,17,\"Layla, Lydia, Piper, Piper\"\ne21542,2016/05/07,in the late afternoon,36,\"Nevaeh, Avery, Kinsley\"\ne21549,2016/05/08,during lunch hours,23,\"Nora, Hazel, Claire, Rylee\"\ne21550,2016/05/08,in the late afternoon,22,\"Claire, Rylee\"\ne21551,2016/05/08,in the early afternoon,37,\"Olivia, Lydia, Nora\"\ne21557,2016/05/09,in the late afternoon,52,\"Nora, Layla, Piper\"\ne21558,2016/05/09,during lunch hours,24,\"Nora, Layla, Kinsley, Piper\"\ne21565,2016/05/10,in the morning,31,\"Eva, Nora\"\ne21566,2016/05/10,late in the evening,30,\"Nevaeh, Piper, Hazel, Kinsley\"\ne21567,2016/05/10,late in the evening,10,\"Kinsley, Rylee\"\ne21568,2016/05/10,late in the evening,6,Olivia\ne21575,2016/05/11,in the early afternoon,8,\"Claire, Nevaeh\"\ne21576,2016/05/11,in the late afternoon,17,Claire\ne21577,2016/05/11,in the late afternoon,37,Claire\ne21584,2016/05/12,in the early afternoon,45,\"Layla, Nevaeh, Nora, Eva\"\ne21585,2016/05/12,late in the evening,32,\"Lydia, Layla, Nora, Eva\"\ne21592,2016/05/13,in the late afternoon,14,\"Hazel, Claire, Nora, Avery\"\ne21593,2016/05/13,in the early evening,37,\"Rylee, Layla\"\ne21594,2016/05/13,late in the evening,31,\"Rylee, Avery\"\ne21595,2016/05/13,late in the evening,42,\"Eva, Kinsley, Rylee, Piper\"\ne21602,2016/05/14,during lunch hours,12,\"Avery, Olivia, Kinsley\"\ne21603,2016/05/14,in the early evening,19,Lydia\ne21610,2016/05/15,during lunch hours,18,\"Nevaeh, Eva, Nora, Kinsley\"\ne21617,2016/05/16,in the morning,33,\"Olivia, Nora, Lydia\"\ne21618,2016/05/16,late in the evening,28,\"Hazel, Eva, Rylee\"\ne21619,2016/05/16,during lunch hours,34,Kinsley\ne21626,2016/05/17,in the late afternoon,43,Piper\ne21627,2016/05/17,in the early evening,24,Piper\ne21628,2016/05/17,in the early afternoon,6,Piper\ne21635,2016/05/18,in the morning,43,\"Rylee, Lydia, Nevaeh\"\ne21636,2016/05/18,in the early afternoon,8,\"Eva, Layla, Piper, Hazel\"\ne21637,2016/05/18,during lunch hours,24,Piper\ne21644,2016/05/19,in the late afternoon,54,\"Eva, Olivia\"\ne21645,2016/05/19,in the early evening,15,Lydia\ne21652,2016/05/20,during lunch hours,27,\"Nora, Eva, Layla\"\ne21653,2016/05/20,late in the evening,18,\"Avery, Kinsley, Nevaeh, Claire\"\ne21654,2016/05/20,during lunch hours,11,\"Olivia, Nevaeh, Avery\"\ne21660,2016/05/21,in the early afternoon,48,\"Nevaeh, Rylee\"\ne21661,2016/05/21,in the late afternoon,44,\"Nora, Rylee\"\ne21662,2016/05/21,late in the evening,36,Rylee\ne21663,2016/05/21,in the early evening,26,\"Piper, Layla, Claire, Rylee\"\ne21670,2016/05/22,in the morning,34,\"Layla, Rylee, Lydia, Hazel\"\ne21671,2016/05/22,in the early evening,32,Nora\ne21672,2016/05/22,during lunch hours,31,\"Layla, Nora, Avery\"\ne21679,2016/05/23,during lunch hours,55,Piper\ne21680,2016/05/23,in the late afternoon,53,\"Kinsley, Piper, Nevaeh\"\ne21681,2016/05/23,during lunch hours,7,\"Olivia, Avery, Piper\"\ne21688,2016/05/24,late in the evening,35,Rylee\ne21689,2016/05/24,in the early afternoon,40,\"Layla, Claire\"\ne21696,2016/05/25,in the late afternoon,35,\"Piper, Nevaeh, Eva\"\ne21697,2016/05/25,late in the evening,8,\"Layla, Piper\"\ne21698,2016/05/25,in the early evening,48,\"Lydia, Rylee, Layla, Nevaeh\"\ne21705,2016/05/26,late in the evening,32,\"Layla, Piper, Lydia, Nevaeh\"\ne21706,2016/05/26,in the early evening,25,\"Piper, Olivia, Piper, Lydia\"\ne21713,2016/05/27,in the early afternoon,42,\"Nevaeh, Piper\"\ne21714,2016/05/27,late in the evening,17,\"Kinsley, Piper\"\ne21721,2016/05/28,in the early afternoon,51,\"Claire, Lydia, Hazel, Eva\"\ne21722,2016/05/28,in the early afternoon,52,\"Nora, Hazel, Olivia, Nevaeh\"\ne21723,2016/05/28,in the early evening,35,\"Hazel, Piper\"\ne21730,2016/05/29,in the early afternoon,15,\"Claire, Eva\"\ne21731,2016/05/29,in the early afternoon,15,\"Lydia, Nevaeh\"\ne21738,2016/05/30,during lunch hours,23,\"Claire, Eva\"\ne21744,2016/05/31,during lunch hours,13,\"Claire, Eva, Avery\"\ne21745,2016/05/31,in the late afternoon,7,\"Piper, Eva\"\ne21752,2016/06/01,in the late afternoon,15,\"Claire, Olivia\"\ne21753,2016/06/01,during lunch hours,22,\"Claire, Olivia\"\ne21754,2016/06/01,late in the evening,16,\"Hazel, Eva, Kinsley\"\ne21755,2016/06/01,in the early evening,9,\"Piper, Rylee\"\ne21761,2016/06/02,in the early afternoon,11,Claire\ne21762,2016/06/02,during lunch hours,13,\"Eva, Kinsley\"\ne21763,2016/06/02,in the late afternoon,36,\"Nevaeh, Claire, Kinsley\"\ne21770,2016/06/03,during lunch hours,53,\"Piper, Layla, Hazel\"\ne21771,2016/06/03,in the early afternoon,46,\"Olivia, Eva, Claire, Rylee\"\ne21772,2016/06/03,in the morning,54,Nora\ne21779,2016/06/04,late in the evening,13,Nora\ne21780,2016/06/04,in the early evening,7,\"Avery, Claire, Eva, Lydia\"\ne21781,2016/06/04,in the morning,10,Eva\ne21782,2016/06/04,in the morning,27,\"Layla, Rylee, Nora\"\ne21789,2016/06/05,in the late afternoon,40,\"Kinsley, Eva, Lydia\"\ne21790,2016/06/05,in the early evening,42,\"Nevaeh, Kinsley, Layla, Lydia\"\ne21791,2016/06/05,in the late afternoon,35,\"Piper, Lydia, Claire, Layla\"\ne21798,2016/06/06,in the late afternoon,53,Hazel\ne21799,2016/06/06,in the late afternoon,29,\"Kinsley, Hazel\"\ne21806,2016/06/07,in the early afternoon,40,Nora\ne21807,2016/06/07,in the early afternoon,21,Claire\ne21808,2016/06/07,during lunch hours,46,\"Layla, Nora\"\ne21815,2016/06/08,in the morning,27,Nora\ne21816,2016/06/08,late in the evening,37,\"Hazel, Nevaeh, Rylee\"\ne21823,2016/06/09,in the early afternoon,43,\"Hazel, Layla, Lydia, Piper\"\ne21824,2016/06/09,late in the evening,44,\"Rylee, Eva, Piper\"\ne21831,2016/06/10,in the late afternoon,10,Hazel\ne21832,2016/06/10,late in the evening,13,\"Layla, Nevaeh\"\ne21833,2016/06/10,late in the evening,35,Olivia\ne21834,2016/06/10,in the early afternoon,11,\"Avery, Eva, Olivia, Nora\"\ne21841,2016/06/11,during lunch hours,47,\"Rylee, Nevaeh, Olivia\"\ne21842,2016/06/11,in the late afternoon,21,Rylee\ne21849,2016/06/12,in the morning,35,Eva\ne21850,2016/06/12,late in the evening,53,Claire\ne21851,2016/06/12,in the early evening,40,\"Layla, Piper, Kinsley\"\ne21852,2016/06/12,in the early afternoon,15,\"Piper, Hazel\"\ne21859,2016/06/13,in the late afternoon,48,\"Layla, Nora, Eva, Rylee\"\ne21860,2016/06/13,in the late afternoon,30,\"Piper, Olivia\"\ne21861,2016/06/13,in the late afternoon,18,\"Eva, Kinsley, Nevaeh\"\ne21867,2016/06/14,in the morning,20,\"Piper, Kinsley, Rylee, Lydia\"\ne21868,2016/06/14,in the early evening,36,\"Piper, Olivia, Nevaeh, Piper\"\ne21875,2016/06/15,in the morning,51,\"Nora, Lydia\"\ne21882,2016/06/16,in the late afternoon,51,Eva\ne21883,2016/06/16,in the morning,32,Lydia\ne21884,2016/06/16,in the early afternoon,40,Avery\ne21891,2016/06/17,in the late afternoon,18,\"Kinsley, Nevaeh, Nora\"\ne21892,2016/06/17,in the early afternoon,44,\"Kinsley, Avery\"\ne21893,2016/06/17,in the morning,47,\"Piper, Kinsley, Claire, Rylee\"\ne21900,2016/06/18,in the early afternoon,9,\"Claire, Piper, Nevaeh, Avery\"\ne21901,2016/06/18,in the early evening,31,\"Nora, Rylee, Claire\"\ne21902,2016/06/18,in the early afternoon,10,\"Kinsley, Piper, Layla\"\ne21903,2016/06/18,in the early evening,15,\"Kinsley, Nora, Claire\"\ne21910,2016/06/19,in the early afternoon,10,\"Hazel, Kinsley\"\ne21911,2016/06/19,during lunch hours,18,\"Kinsley, Hazel, Piper, Avery\"\ne21917,2016/06/20,late in the evening,32,Piper\ne21918,2016/06/20,late in the evening,30,\"Avery, Lydia\"\ne21919,2016/06/20,in the early afternoon,11,\"Olivia, Layla, Piper, Eva\"\ne21925,2016/06/21,in the morning,38,\"Hazel, Nevaeh, Eva, Lydia\"\ne21926,2016/06/21,during lunch hours,31,\"Layla, Kinsley\"\ne21927,2016/06/21,in the early evening,47,\"Piper, Kinsley, Olivia\"\ne21933,2016/06/22,late in the evening,34,Piper\ne21934,2016/06/22,late in the evening,6,\"Avery, Olivia\"\ne21935,2016/06/22,during lunch hours,5,\"Layla, Piper, Piper, Nora\"\ne21942,2016/06/23,late in the evening,50,\"Piper, Hazel, Piper, Eva\"\ne21943,2016/06/23,during lunch hours,11,\"Nora, Piper, Eva, Piper\"\ne21944,2016/06/23,late in the evening,30,\"Hazel, Layla, Nora, Rylee\"\ne21945,2016/06/23,late in the evening,29,\"Kinsley, Piper, Olivia, Layla\"\ne21952,2016/06/24,in the morning,30,\"Avery, Kinsley, Olivia\"\ne21953,2016/06/24,late in the evening,46,\"Nevaeh, Avery, Nora, Rylee\"\ne21954,2016/06/24,in the morning,44,\"Piper, Claire\"\ne21961,2016/06/25,during lunch hours,30,\"Olivia, Eva, Claire, Piper\"\ne21962,2016/06/25,during lunch hours,47,\"Eva, Claire, Piper, Rylee\"\ne21963,2016/06/25,in the morning,20,Rylee\ne21970,2016/06/26,in the early evening,38,Hazel\ne21971,2016/06/26,late in the evening,38,\"Claire, Lydia, Nevaeh, Eva\"\ne21972,2016/06/26,in the late afternoon,42,\"Layla, Piper, Hazel\"\ne21973,2016/06/26,in the early evening,8,\"Hazel, Kinsley\"\ne21980,2016/06/27,during lunch hours,41,\"Claire, Olivia, Kinsley, Avery\"\ne21981,2016/06/27,in the early evening,35,\"Claire, Piper, Hazel\"\ne21982,2016/06/27,late in the evening,34,Kinsley\ne21989,2016/06/28,during lunch hours,53,\"Layla, Olivia\"\ne21990,2016/06/28,in the early afternoon,37,\"Nora, Piper\"\ne21991,2016/06/28,in the late afternoon,5,\"Olivia, Nora, Piper, Lydia\"\ne21998,2016/06/29,during lunch hours,25,\"Lydia, Nevaeh, Nora, Piper\"\ne22005,2016/06/30,in the early afternoon,36,\"Olivia, Lydia\"\ne22006,2016/06/30,late in the evening,24,\"Kinsley, Rylee\"\ne22007,2016/06/30,in the early evening,46,\"Kinsley, Claire, Nevaeh\"\ne22014,2016/07/01,in the early afternoon,31,Avery\ne22015,2016/07/01,during lunch hours,35,\"Layla, Rylee, Lydia\"\ne22016,2016/07/01,in the early evening,43,\"Piper, Avery, Lydia\"\ne22017,2016/07/01,in the morning,33,\"Piper, Claire, Rylee\"\ne22024,2016/07/02,in the early afternoon,22,Nora\ne22025,2016/07/02,in the late afternoon,12,\"Eva, Olivia, Kinsley\"\ne22032,2016/07/03,in the early afternoon,10,\"Olivia, Piper, Avery\"\ne22033,2016/07/03,in the early evening,12,\"Eva, Olivia, Lydia, Avery\"\ne22034,2016/07/03,late in the evening,6,Olivia\ne22041,2016/07/04,in the late afternoon,42,\"Nora, Olivia\"\ne22048,2016/07/05,in the early evening,43,Hazel\ne22049,2016/07/05,in the morning,7,\"Hazel, Layla, Lydia, Nora\"\ne22050,2016/07/05,late in the evening,35,\"Nevaeh, Rylee, Claire, Avery\"\ne22057,2016/07/06,in the morning,35,\"Nevaeh, Piper, Claire, Layla\"\ne22058,2016/07/06,late in the evening,44,\"Olivia, Kinsley\"\ne22059,2016/07/06,in the early afternoon,12,\"Claire, Piper, Layla\"\ne22060,2016/07/06,late in the evening,43,Olivia\ne22067,2016/07/07,during lunch hours,13,\"Piper, Layla, Hazel, Avery\"\ne22068,2016/07/07,in the late afternoon,47,Avery\ne22069,2016/07/07,late in the evening,26,\"Claire, Piper\"\ne22076,2016/07/08,in the early evening,51,Rylee\ne22077,2016/07/08,in the early afternoon,42,\"Lydia, Avery, Rylee, Hazel\"\ne22084,2016/07/09,late in the evening,40,\"Olivia, Piper, Piper, Layla\"\ne22085,2016/07/09,in the morning,41,Claire\ne22086,2016/07/09,during lunch hours,48,\"Nora, Eva, Kinsley\"\ne22093,2016/07/10,during lunch hours,12,Nevaeh\ne22094,2016/07/10,in the early evening,33,Avery\ne22095,2016/07/10,in the late afternoon,24,Layla\ne22096,2016/07/10,in the morning,5,\"Kinsley, Claire, Hazel, Lydia\"\ne22103,2016/07/11,in the late afternoon,53,\"Hazel, Olivia, Lydia\"\ne22104,2016/07/11,in the late afternoon,29,Kinsley\ne22111,2016/07/12,in the early evening,41,\"Nora, Rylee\"\ne22112,2016/07/12,late in the evening,17,\"Nora, Rylee\"\ne22119,2016/07/13,in the early afternoon,29,\"Hazel, Rylee, Piper, Piper\"\ne22120,2016/07/13,in the early afternoon,25,\"Hazel, Claire, Nevaeh, Nora\"\ne22121,2016/07/13,late in the evening,52,\"Kinsley, Lydia, Avery\"\ne22128,2016/07/14,in the early evening,43,\"Hazel, Avery\"\ne22129,2016/07/14,in the morning,33,\"Kinsley, Piper\"\ne22136,2016/07/15,in the early afternoon,48,\"Lydia, Nora, Eva\"\ne22137,2016/07/15,in the early evening,15,\"Rylee, Nora\"\ne22138,2016/07/15,in the morning,49,Eva\ne22145,2016/07/16,in the morning,44,Claire\ne22146,2016/07/16,late in the evening,25,\"Eva, Layla, Piper, Lydia\"\ne22147,2016/07/16,late in the evening,36,Lydia\ne22154,2016/07/17,in the early afternoon,34,\"Layla, Piper, Avery\"\ne22155,2016/07/17,in the early evening,11,\"Hazel, Claire, Layla\"\ne22162,2016/07/18,in the late afternoon,8,\"Nora, Nevaeh, Piper, Avery\"\ne22163,2016/07/18,in the early afternoon,10,\"Claire, Rylee\"\ne22170,2016/07/19,during lunch hours,13,\"Kinsley, Layla, Rylee, Eva\"\ne22171,2016/07/19,in the early evening,8,\"Hazel, Piper, Claire\"\ne22172,2016/07/19,in the early evening,20,Hazel\ne22179,2016/07/20,during lunch hours,12,\"Lydia, Kinsley\"\ne22180,2016/07/20,in the early evening,38,\"Nora, Hazel, Olivia, Piper\"\ne22186,2016/07/21,in the early afternoon,22,Olivia\ne22193,2016/07/22,in the late afternoon,47,\"Avery, Kinsley\"\ne22194,2016/07/22,during lunch hours,40,Claire\ne22195,2016/07/22,in the early evening,17,\"Nevaeh, Avery, Hazel\"\ne22202,2016/07/23,in the morning,35,Nora\ne22203,2016/07/23,in the morning,34,\"Hazel, Layla, Olivia\"\ne22204,2016/07/23,late in the evening,27,Olivia\ne22211,2016/07/24,in the early evening,49,\"Kinsley, Lydia\"\ne22212,2016/07/24,during lunch hours,19,Nora\ne22213,2016/07/24,in the early afternoon,46,Kinsley\ne22214,2016/07/24,late in the evening,12,Nevaeh\ne22221,2016/07/25,in the early evening,13,Piper\ne22222,2016/07/25,in the morning,28,\"Nora, Eva\"\ne22223,2016/07/25,late in the evening,11,Nevaeh\ne22224,2016/07/25,late in the evening,8,\"Layla, Rylee\"\ne22231,2016/07/26,in the early afternoon,9,\"Kinsley, Piper\"\ne22232,2016/07/26,in the morning,18,Layla\ne22239,2016/07/27,in the morning,44,\"Avery, Kinsley, Claire\"\ne22240,2016/07/27,in the early afternoon,46,\"Rylee, Eva, Layla\"\ne22241,2016/07/27,in the early afternoon,15,Rylee\ne22248,2016/07/28,in the late afternoon,32,\"Kinsley, Olivia\"\ne22249,2016/07/28,during lunch hours,16,Lydia\ne22250,2016/07/28,in the late afternoon,42,\"Nevaeh, Rylee, Olivia\"\ne22256,2016/07/29,in the late afternoon,24,\"Hazel, Piper, Olivia, Avery\"\ne22263,2016/07/30,in the early evening,54,\"Piper, Olivia, Piper, Rylee\"\ne22264,2016/07/30,in the late afternoon,31,\"Nevaeh, Kinsley, Rylee, Piper\"\ne22271,2016/07/31,late in the evening,22,\"Olivia, Layla, Rylee\"\ne22272,2016/07/31,in the early evening,54,\"Rylee, Layla, Avery\"\ne22273,2016/07/31,during lunch hours,51,\"Lydia, Hazel, Layla\"\ne22274,2016/07/31,late in the evening,29,Piper\ne22281,2016/08/01,in the late afternoon,13,\"Layla, Lydia, Olivia, Nevaeh\"\ne22282,2016/08/01,in the morning,24,\"Rylee, Nora, Layla\"\ne22288,2016/08/02,during lunch hours,45,\"Avery, Claire, Kinsley, Eva\"\ne22289,2016/08/02,in the early evening,54,Hazel\ne22290,2016/08/02,late in the evening,9,Rylee\ne22297,2016/08/03,in the morning,55,\"Kinsley, Avery\"\ne22298,2016/08/03,in the morning,35,\"Hazel, Olivia\"\ne22305,2016/08/04,in the late afternoon,8,\"Hazel, Eva, Kinsley\"\ne22306,2016/08/04,in the morning,12,Rylee\ne22313,2016/08/05,in the morning,18,\"Nevaeh, Layla\"\ne22314,2016/08/05,in the early evening,34,\"Hazel, Nevaeh, Kinsley\"\ne22321,2016/08/06,during lunch hours,30,Layla\ne22322,2016/08/06,during lunch hours,38,\"Claire, Hazel, Lydia\"\ne22323,2016/08/06,in the early evening,42,Eva\ne22324,2016/08/06,in the late afternoon,18,\"Rylee, Piper, Nevaeh, Layla\"\ne22331,2016/08/07,in the late afternoon,33,\"Hazel, Rylee, Nevaeh\"\ne22332,2016/08/07,in the late afternoon,29,\"Olivia, Piper, Layla, Lydia\"\ne22339,2016/08/08,during lunch hours,38,Lydia\ne22340,2016/08/08,in the early afternoon,5,\"Piper, Piper\"\ne22341,2016/08/08,late in the evening,5,\"Hazel, Layla, Kinsley, Olivia\"\ne22348,2016/08/09,in the early afternoon,22,\"Avery, Kinsley, Layla\"\ne22349,2016/08/09,late in the evening,6,Nora\ne22356,2016/08/10,in the early evening,14,Kinsley\ne22357,2016/08/10,in the early evening,25,\"Piper, Piper, Nevaeh, Layla\"\ne22358,2016/08/10,late in the evening,53,\"Piper, Hazel, Eva\"\ne22365,2016/08/11,in the early evening,36,Hazel\ne22372,2016/08/12,in the early evening,36,\"Hazel, Rylee, Claire\"\ne22373,2016/08/12,in the late afternoon,18,\"Kinsley, Olivia, Avery, Layla\"\ne22374,2016/08/12,in the morning,20,\"Claire, Hazel\"\ne22381,2016/08/13,in the late afternoon,45,\"Eva, Kinsley\"\ne22382,2016/08/13,in the late afternoon,15,\"Claire, Piper, Kinsley, Rylee\"\ne22383,2016/08/13,during lunch hours,30,\"Rylee, Kinsley\"\ne22389,2016/08/14,late in the evening,35,\"Piper, Rylee, Hazel, Claire\"\ne22390,2016/08/14,late in the evening,35,\"Nora, Nevaeh, Claire\"\ne22391,2016/08/14,in the early afternoon,20,\"Nevaeh, Nora\"\ne22398,2016/08/15,during lunch hours,55,Nora\ne22399,2016/08/15,late in the evening,8,Kinsley\ne22400,2016/08/15,in the late afternoon,41,\"Avery, Lydia\"\ne22407,2016/08/16,in the late afternoon,9,\"Hazel, Kinsley\"\ne22408,2016/08/16,in the early evening,53,\"Lydia, Hazel, Nora, Layla\"\ne22409,2016/08/16,in the early evening,11,\"Claire, Avery, Lydia\"\ne22416,2016/08/17,in the morning,42,\"Olivia, Layla\"\ne22417,2016/08/17,in the morning,27,\"Eva, Layla, Kinsley, Piper\"\ne22418,2016/08/17,in the early evening,52,\"Avery, Lydia, Piper\"\ne22419,2016/08/17,in the early evening,18,\"Nevaeh, Claire\"\ne22426,2016/08/18,late in the evening,28,Nora\ne22427,2016/08/18,in the early afternoon,52,\"Nora, Rylee\"\ne22428,2016/08/18,in the late afternoon,27,Kinsley\ne22435,2016/08/19,in the late afternoon,11,\"Piper, Piper\"\ne22436,2016/08/19,late in the evening,12,Rylee\ne22437,2016/08/19,in the early evening,7,\"Lydia, Hazel\"\ne22443,2016/08/20,in the late afternoon,29,Layla\ne22444,2016/08/20,in the late afternoon,37,\"Eva, Olivia, Nevaeh, Lydia\"\ne22445,2016/08/20,in the morning,9,\"Hazel, Avery, Rylee, Kinsley\"\ne22452,2016/08/21,late in the evening,5,\"Nevaeh, Piper, Layla, Olivia\"\ne22453,2016/08/21,late in the evening,15,Avery\ne22454,2016/08/21,in the early afternoon,12,Piper\ne22461,2016/08/22,in the early afternoon,51,Eva\ne22462,2016/08/22,in the early evening,43,\"Eva, Layla, Lydia, Piper\"\ne22463,2016/08/22,during lunch hours,21,\"Lydia, Olivia, Avery, Rylee\"\ne22464,2016/08/22,in the late afternoon,33,Claire\ne22470,2016/08/23,late in the evening,25,\"Rylee, Eva, Hazel\"\ne22471,2016/08/23,late in the evening,38,\"Claire, Avery, Lydia\"\ne22478,2016/08/24,late in the evening,55,\"Claire, Nevaeh, Kinsley, Hazel\"\ne22479,2016/08/24,in the early afternoon,16,\"Avery, Eva, Hazel, Piper\"\ne22480,2016/08/24,in the morning,51,Kinsley\ne22487,2016/08/25,in the late afternoon,47,\"Piper, Hazel\"\ne22488,2016/08/25,in the early evening,17,Nevaeh\ne22489,2016/08/25,in the early afternoon,26,\"Nora, Rylee, Layla, Olivia\"\ne22495,2016/08/26,during lunch hours,7,\"Nevaeh, Piper\"\ne22502,2016/08/27,during lunch hours,7,\"Lydia, Nevaeh, Piper\"\ne22503,2016/08/27,in the late afternoon,49,\"Eva, Kinsley, Olivia, Piper\"\ne22510,2016/08/28,in the early evening,13,\"Piper, Layla\"\ne22511,2016/08/28,in the early afternoon,30,Eva\ne22512,2016/08/28,in the late afternoon,19,\"Avery, Hazel, Nevaeh\"\ne22519,2016/08/29,in the early evening,42,Hazel\ne22520,2016/08/29,in the morning,33,\"Nora, Kinsley\"\ne22527,2016/08/30,in the early afternoon,38,\"Hazel, Kinsley, Lydia\"\ne22528,2016/08/30,in the late afternoon,32,\"Olivia, Lydia, Claire\"\ne22529,2016/08/30,in the early evening,9,\"Eva, Claire\"\ne22536,2016/08/31,in the late afternoon,41,\"Claire, Rylee\"\ne22537,2016/08/31,during lunch hours,27,\"Rylee, Claire\"\ne22538,2016/08/31,during lunch hours,9,\"Piper, Lydia\"\ne22544,2016/09/01,during lunch hours,55,\"Avery, Claire, Kinsley, Olivia\"\ne22545,2016/09/01,in the early evening,14,Rylee\ne22546,2016/09/01,in the early evening,11,\"Avery, Olivia\"\ne22553,2016/09/02,late in the evening,14,\"Nevaeh, Kinsley, Piper\"\ne22554,2016/09/02,late in the evening,17,Layla\ne22555,2016/09/02,in the morning,52,\"Lydia, Layla, Nevaeh\"\ne22562,2016/09/03,in the morning,24,\"Kinsley, Rylee, Piper, Nora\"\ne22563,2016/09/03,during lunch hours,38,\"Piper, Avery\"\ne22564,2016/09/03,in the early evening,44,\"Kinsley, Avery, Rylee\"\ne22571,2016/09/04,in the early evening,15,\"Olivia, Piper\"\ne22572,2016/09/04,in the morning,34,Avery\ne22573,2016/09/04,late in the evening,10,\"Lydia, Rylee, Piper, Nora\"\ne22580,2016/09/05,in the early evening,21,\"Piper, Nora\"\ne22581,2016/09/05,in the morning,54,\"Piper, Kinsley, Lydia, Nora\"\ne22582,2016/09/05,in the early afternoon,54,\"Kinsley, Nevaeh, Claire\"\ne22583,2016/09/05,during lunch hours,25,\"Nevaeh, Olivia\"\ne22590,2016/09/06,during lunch hours,23,\"Hazel, Claire\"\ne22591,2016/09/06,during lunch hours,43,Piper\ne22592,2016/09/06,in the early evening,33,\"Piper, Kinsley, Nora, Claire\"\ne22599,2016/09/07,in the late afternoon,18,\"Olivia, Nora, Hazel, Avery\"\ne22600,2016/09/07,in the morning,41,\"Olivia, Layla, Avery\"\ne22607,2016/09/08,late in the evening,42,\"Kinsley, Lydia\"\ne22608,2016/09/08,late in the evening,44,\"Hazel, Nora\"\ne22609,2016/09/08,late in the evening,45,\"Avery, Layla\"\ne22610,2016/09/08,in the early afternoon,12,\"Nora, Claire\"\ne22617,2016/09/09,in the morning,42,\"Nevaeh, Piper, Eva\"\ne22618,2016/09/09,during lunch hours,42,\"Avery, Piper, Nora, Layla\"\ne22619,2016/09/09,in the early afternoon,16,\"Eva, Piper, Kinsley, Layla\"\ne22626,2016/09/10,in the early evening,27,Nora\ne22627,2016/09/10,during lunch hours,24,\"Layla, Olivia, Hazel\"\ne22628,2016/09/10,in the early evening,25,\"Nora, Piper\"\ne22635,2016/09/11,in the early afternoon,45,Claire\ne22636,2016/09/11,in the late afternoon,33,\"Piper, Kinsley, Nevaeh, Hazel\"\ne22637,2016/09/11,in the late afternoon,38,\"Hazel, Layla\"\ne22638,2016/09/11,in the morning,48,\"Avery, Lydia\"\ne22645,2016/09/12,in the early afternoon,47,\"Nevaeh, Eva, Hazel, Layla\"\ne22646,2016/09/12,in the early evening,42,\"Olivia, Hazel, Claire, Lydia\"\ne22647,2016/09/12,in the early afternoon,36,\"Nora, Avery\"\ne22654,2016/09/13,in the early evening,36,\"Kinsley, Piper, Hazel\"\ne22655,2016/09/13,in the early evening,27,\"Claire, Piper, Piper, Nora\"\ne22656,2016/09/13,in the early afternoon,5,\"Nevaeh, Piper, Piper, Layla\"\ne22663,2016/09/14,in the late afternoon,51,\"Hazel, Piper, Kinsley, Nevaeh\"\ne22664,2016/09/14,in the early afternoon,21,\"Hazel, Claire, Lydia\"\ne22671,2016/09/15,in the morning,47,\"Claire, Lydia, Eva, Layla\"\ne22672,2016/09/15,in the early afternoon,30,\"Eva, Claire, Rylee\"\ne22679,2016/09/16,late in the evening,9,\"Lydia, Rylee\"\ne22680,2016/09/16,in the early evening,34,\"Piper, Nora, Hazel\"\ne22681,2016/09/16,in the early evening,6,\"Piper, Piper, Olivia, Hazel\"\ne22682,2016/09/16,during lunch hours,37,\"Rylee, Kinsley, Avery\"\ne22688,2016/09/17,in the early afternoon,13,\"Kinsley, Rylee\"\ne22689,2016/09/17,in the early afternoon,52,\"Avery, Rylee, Olivia, Kinsley\"\ne22696,2016/09/18,during lunch hours,36,\"Avery, Layla, Piper, Kinsley\"\ne22697,2016/09/18,late in the evening,45,Layla\ne22698,2016/09/18,in the early afternoon,33,\"Layla, Nevaeh\"\ne22705,2016/09/19,in the early evening,44,\"Claire, Piper, Nora\"\ne22706,2016/09/19,in the morning,24,Olivia\ne22707,2016/09/19,in the early evening,40,\"Claire, Piper, Layla, Lydia\"\ne22714,2016/09/20,in the early evening,22,\"Olivia, Nora, Lydia\"\ne22715,2016/09/20,in the early evening,7,\"Piper, Layla\"\ne22716,2016/09/20,in the early afternoon,31,\"Kinsley, Nevaeh, Piper\"\ne22717,2016/09/20,in the early evening,16,Piper\ne22724,2016/09/21,during lunch hours,31,\"Kinsley, Lydia, Eva\"\ne22725,2016/09/21,late in the evening,37,\"Avery, Nora, Eva, Hazel\"\ne22732,2016/09/22,late in the evening,47,Avery\ne22733,2016/09/22,in the late afternoon,26,\"Lydia, Nevaeh, Kinsley\"\ne22734,2016/09/22,late in the evening,13,\"Lydia, Nevaeh\"\ne22740,2016/09/23,in the late afternoon,51,\"Rylee, Nevaeh, Piper\"\ne22741,2016/09/23,in the early afternoon,51,\"Nevaeh, Hazel, Nora, Kinsley\"\ne22748,2016/09/24,in the early evening,34,\"Nevaeh, Olivia, Piper\"\ne22749,2016/09/24,in the early afternoon,24,\"Piper, Nora, Claire\"\ne22756,2016/09/25,in the early evening,18,Rylee\ne22757,2016/09/25,late in the evening,37,\"Layla, Nora, Piper\"\ne22758,2016/09/25,in the morning,33,Eva\ne22765,2016/09/26,in the early evening,23,Kinsley\ne22766,2016/09/26,in the early evening,8,\"Hazel, Layla, Lydia\"\ne22767,2016/09/26,in the early afternoon,25,\"Avery, Lydia, Eva, Kinsley\"\ne22773,2016/09/27,in the early evening,47,\"Layla, Piper\"\ne22774,2016/09/27,in the early evening,9,\"Rylee, Nevaeh, Kinsley, Lydia\"\ne22775,2016/09/27,in the early afternoon,11,\"Lydia, Olivia\"\ne22782,2016/09/28,in the morning,37,\"Nevaeh, Kinsley, Olivia\"\ne22783,2016/09/28,in the early afternoon,34,\"Nora, Piper, Rylee\"\ne22784,2016/09/28,late in the evening,27,\"Lydia, Piper\"\ne22791,2016/09/29,in the late afternoon,26,\"Claire, Hazel, Kinsley, Rylee\"\ne22792,2016/09/29,late in the evening,22,Rylee\ne22793,2016/09/29,late in the evening,10,\"Nora, Lydia\"\ne22800,2016/09/30,late in the evening,16,Layla\ne22801,2016/09/30,in the early evening,12,\"Claire, Eva, Piper, Nora\"\ne22802,2016/09/30,in the morning,21,\"Olivia, Piper, Nevaeh\"\ne22809,2016/10/01,in the late afternoon,35,\"Piper, Avery, Olivia, Claire\"\ne22810,2016/10/01,in the late afternoon,54,Eva\ne22811,2016/10/01,in the late afternoon,25,\"Layla, Nora\"\ne22818,2016/10/02,late in the evening,19,\"Layla, Kinsley\"\ne22819,2016/10/02,in the early evening,48,\"Piper, Avery\"\ne22820,2016/10/02,late in the evening,48,Layla\ne22827,2016/10/03,in the late afternoon,41,\"Layla, Nora, Lydia\"\ne22828,2016/10/03,during lunch hours,30,\"Olivia, Nevaeh, Nora\"\ne22835,2016/10/04,in the morning,45,\"Olivia, Rylee, Piper, Kinsley\"\ne22836,2016/10/04,in the early afternoon,21,\"Nevaeh, Kinsley\"\ne22837,2016/10/04,during lunch hours,31,\"Avery, Rylee, Nora\"\ne22838,2016/10/04,in the late afternoon,12,\"Claire, Layla\"\ne22845,2016/10/05,in the late afternoon,19,\"Lydia, Eva, Kinsley\"\ne22846,2016/10/05,in the early evening,41,\"Eva, Piper\"\ne22853,2016/10/06,during lunch hours,32,\"Nevaeh, Rylee, Eva, Claire\"\ne22854,2016/10/06,in the late afternoon,18,\"Piper, Eva, Lydia, Nevaeh\"\ne22855,2016/10/06,during lunch hours,51,Kinsley\ne22856,2016/10/06,in the early afternoon,25,\"Piper, Lydia, Piper\"\ne22862,2016/10/07,in the early evening,37,\"Layla, Kinsley, Olivia, Nevaeh\"\ne22869,2016/10/08,late in the evening,44,Rylee\ne22870,2016/10/08,in the late afternoon,13,\"Nevaeh, Piper\"\ne22871,2016/10/08,in the early afternoon,46,\"Avery, Rylee, Lydia, Hazel\"\ne22872,2016/10/08,during lunch hours,23,\"Nevaeh, Piper, Avery\"\ne22879,2016/10/09,in the morning,32,\"Claire, Kinsley, Avery\"\ne22880,2016/10/09,late in the evening,47,\"Hazel, Nora, Nevaeh, Eva\"\ne22886,2016/10/10,in the morning,42,Layla\ne22887,2016/10/10,in the morning,46,\"Eva, Nevaeh, Piper\"\ne22888,2016/10/10,in the early evening,5,\"Nora, Piper, Piper, Claire\"\ne22895,2016/10/11,in the late afternoon,54,\"Rylee, Kinsley, Hazel, Layla\"\ne22896,2016/10/11,during lunch hours,54,\"Avery, Nora, Kinsley\"\ne22903,2016/10/12,in the early afternoon,20,Claire\ne22904,2016/10/12,in the morning,15,Piper\ne22905,2016/10/12,in the early evening,40,\"Hazel, Lydia, Kinsley\"\ne22912,2016/10/13,late in the evening,44,Eva\ne22913,2016/10/13,in the morning,16,\"Layla, Lydia, Olivia\"\ne22914,2016/10/13,in the early evening,28,\"Avery, Olivia, Eva\"\ne22921,2016/10/14,late in the evening,5,\"Avery, Olivia, Layla\"\ne22922,2016/10/14,late in the evening,17,\"Hazel, Nevaeh, Piper\"\ne22923,2016/10/14,late in the evening,15,\"Claire, Avery\"\ne22930,2016/10/15,in the early evening,40,\"Lydia, Nevaeh, Nora\"\ne22931,2016/10/15,in the early afternoon,13,\"Rylee, Layla, Nora, Lydia\"\ne22932,2016/10/15,in the late afternoon,26,\"Claire, Eva, Nevaeh\"\ne22939,2016/10/16,in the morning,43,\"Piper, Kinsley\"\ne22940,2016/10/16,in the late afternoon,49,\"Nevaeh, Avery\"\ne22941,2016/10/16,in the early evening,21,Kinsley\ne22948,2016/10/17,during lunch hours,37,\"Nora, Claire, Nevaeh\"\ne22949,2016/10/17,in the late afternoon,36,\"Nevaeh, Hazel\"\ne22955,2016/10/18,late in the evening,32,\"Lydia, Hazel\"\ne22956,2016/10/18,in the early afternoon,31,\"Olivia, Claire, Kinsley\"\ne22963,2016/10/19,in the early evening,17,Nevaeh\ne22964,2016/10/19,late in the evening,14,\"Avery, Hazel, Olivia\"\ne22965,2016/10/19,in the morning,27,\"Eva, Lydia\"\ne22972,2016/10/20,during lunch hours,34,\"Piper, Nevaeh, Rylee\"\ne22973,2016/10/20,in the early evening,28,\"Piper, Eva, Piper, Lydia\"\ne22974,2016/10/20,in the early evening,38,Layla\ne22981,2016/10/21,in the early afternoon,35,\"Claire, Lydia, Nevaeh\"\ne22982,2016/10/21,late in the evening,34,Nevaeh\ne22989,2016/10/22,in the early evening,29,\"Rylee, Eva\"\ne22990,2016/10/22,in the early afternoon,41,\"Rylee, Kinsley\"\ne22991,2016/10/22,late in the evening,30,\"Layla, Rylee\"\ne22992,2016/10/22,during lunch hours,33,\"Avery, Eva, Rylee\"\ne22999,2016/10/23,in the late afternoon,42,\"Piper, Avery, Nevaeh, Rylee\"\ne23000,2016/10/23,late in the evening,6,\"Claire, Piper\"\ne23007,2016/10/24,in the morning,35,\"Claire, Layla\"\ne23008,2016/10/24,in the morning,20,Avery\ne23015,2016/10/25,in the early afternoon,29,\"Rylee, Piper, Olivia\"\ne23016,2016/10/25,in the late afternoon,8,Olivia\ne23023,2016/10/26,in the morning,11,Nevaeh\ne23024,2016/10/26,in the early afternoon,5,\"Lydia, Rylee\"\ne23031,2016/10/27,in the morning,46,\"Rylee, Hazel\"\ne23032,2016/10/27,late in the evening,30,\"Hazel, Piper\"\ne23033,2016/10/27,in the morning,19,\"Rylee, Kinsley, Layla, Hazel\"\ne23034,2016/10/27,during lunch hours,21,\"Rylee, Piper, Hazel\"\ne23041,2016/10/28,in the morning,21,\"Avery, Lydia, Hazel\"\ne23042,2016/10/28,in the late afternoon,48,Piper\ne23043,2016/10/28,late in the evening,40,Eva\ne23050,2016/10/29,during lunch hours,53,\"Kinsley, Piper, Piper\"\ne23051,2016/10/29,in the late afternoon,15,\"Avery, Hazel, Piper\"\ne23052,2016/10/29,during lunch hours,28,\"Hazel, Layla\"\ne23059,2016/10/30,late in the evening,39,\"Piper, Claire, Avery, Layla\"\ne23060,2016/10/30,in the morning,7,\"Olivia, Nora, Layla, Avery\"\ne23067,2016/10/31,during lunch hours,55,\"Piper, Kinsley, Nora\"\ne23068,2016/10/31,in the morning,36,Nora\ne23075,2016/11/01,in the early afternoon,49,\"Lydia, Piper, Claire, Kinsley\"\ne23076,2016/11/01,in the late afternoon,51,\"Nevaeh, Eva, Lydia, Layla\"\ne23077,2016/11/01,in the morning,55,Avery\ne23083,2016/11/02,in the morning,14,\"Piper, Nora, Lydia, Piper\"\ne23084,2016/11/02,in the morning,48,\"Hazel, Rylee\"\ne23090,2016/11/03,in the early afternoon,10,Piper\ne23091,2016/11/03,in the morning,38,Kinsley\ne23098,2016/11/04,late in the evening,37,\"Piper, Hazel\"\ne23099,2016/11/04,in the early evening,26,Eva\ne23100,2016/11/04,in the late afternoon,48,\"Rylee, Avery, Olivia\"\ne23107,2016/11/05,in the late afternoon,30,Olivia\ne23108,2016/11/05,during lunch hours,46,Avery\ne23109,2016/11/05,in the early afternoon,30,\"Hazel, Avery, Nora\"\ne23110,2016/11/05,in the morning,31,Lydia\ne23117,2016/11/06,in the morning,27,\"Olivia, Avery, Piper\"\ne23118,2016/11/06,late in the evening,31,\"Olivia, Eva, Hazel\"\ne23119,2016/11/06,in the morning,24,Avery\ne23120,2016/11/06,late in the evening,21,\"Layla, Rylee, Piper, Eva\"\ne23127,2016/11/07,late in the evening,44,\"Layla, Piper\"\ne23134,2016/11/08,in the early afternoon,33,\"Olivia, Hazel, Nevaeh, Piper\"\ne23135,2016/11/08,late in the evening,11,\"Piper, Claire\"\ne23136,2016/11/08,in the morning,38,Rylee\ne23137,2016/11/08,in the early afternoon,19,Nora\ne23144,2016/11/09,in the early evening,37,\"Nevaeh, Kinsley\"\ne23145,2016/11/09,in the morning,41,\"Layla, Piper, Piper, Hazel\"\ne23146,2016/11/09,during lunch hours,32,\"Olivia, Kinsley\"\ne23153,2016/11/10,in the morning,34,\"Rylee, Olivia\"\ne23154,2016/11/10,in the late afternoon,25,\"Nora, Kinsley, Claire\"\ne23161,2016/11/11,in the late afternoon,32,\"Lydia, Olivia, Rylee\"\ne23162,2016/11/11,during lunch hours,23,\"Lydia, Layla\"\ne23163,2016/11/11,in the late afternoon,42,\"Olivia, Claire, Nevaeh, Eva\"\ne23170,2016/11/12,in the morning,7,\"Kinsley, Piper, Avery\"\ne23171,2016/11/12,late in the evening,12,\"Hazel, Claire, Layla, Lydia\"\ne23172,2016/11/12,in the early afternoon,13,\"Kinsley, Nora, Rylee\"\ne23179,2016/11/13,in the morning,13,Claire\ne23180,2016/11/13,during lunch hours,14,Claire\ne23181,2016/11/13,in the early afternoon,34,\"Eva, Piper, Claire\"\ne23188,2016/11/14,late in the evening,17,\"Olivia, Rylee, Piper\"\ne23189,2016/11/14,late in the evening,28,\"Kinsley, Avery\"\ne23190,2016/11/14,in the early afternoon,47,\"Kinsley, Piper, Lydia\"\ne23191,2016/11/14,during lunch hours,26,\"Lydia, Rylee, Piper, Piper\"\ne23198,2016/11/15,in the morning,15,Eva\ne23199,2016/11/15,in the late afternoon,40,\"Olivia, Eva\"\ne23206,2016/11/16,in the late afternoon,16,\"Layla, Eva\"\ne23207,2016/11/16,during lunch hours,34,\"Piper, Olivia\"\ne23214,2016/11/17,late in the evening,38,\"Rylee, Piper, Nevaeh\"\ne23215,2016/11/17,late in the evening,9,\"Layla, Hazel\"\ne23216,2016/11/17,during lunch hours,20,Piper\ne23217,2016/11/17,in the early evening,39,Piper\ne23224,2016/11/18,in the early afternoon,25,Layla\ne23225,2016/11/18,late in the evening,35,\"Piper, Piper\"\ne23226,2016/11/18,in the early evening,29,\"Piper, Layla, Eva\"\ne23227,2016/11/18,in the morning,35,\"Piper, Hazel, Rylee\"\ne23234,2016/11/19,in the late afternoon,15,Lydia\ne23235,2016/11/19,during lunch hours,18,\"Eva, Avery\"\ne23236,2016/11/19,in the early afternoon,23,Nevaeh\ne23243,2016/11/20,late in the evening,30,\"Kinsley, Eva\"\ne23244,2016/11/20,in the early evening,53,Piper\ne23245,2016/11/20,late in the evening,36,Claire\ne23246,2016/11/20,late in the evening,16,\"Olivia, Piper, Layla, Kinsley\"\ne23253,2016/11/21,late in the evening,38,\"Nora, Claire\"\ne23259,2016/11/22,during lunch hours,20,\"Olivia, Lydia, Nora\"\ne23260,2016/11/22,in the early evening,30,Piper\ne23261,2016/11/22,late in the evening,5,Piper\ne23262,2016/11/22,in the early evening,35,\"Kinsley, Nora\"\ne23269,2016/11/23,in the morning,25,Rylee\ne23270,2016/11/23,in the early afternoon,46,Hazel\ne23271,2016/11/23,in the morning,38,\"Kinsley, Nevaeh, Olivia\"\ne23272,2016/11/23,late in the evening,30,Nora\ne23279,2016/11/24,in the morning,14,\"Rylee, Olivia, Piper\"\ne23280,2016/11/24,late in the evening,9,\"Piper, Piper, Eva\"\ne23287,2016/11/25,late in the evening,20,\"Layla, Olivia\"\ne23288,2016/11/25,in the early afternoon,55,\"Nora, Kinsley, Layla\"\ne23289,2016/11/25,in the late afternoon,42,Kinsley\ne23296,2016/11/26,late in the evening,38,\"Rylee, Olivia, Nora\"\ne23297,2016/11/26,in the early afternoon,33,\"Lydia, Rylee, Eva\"\ne23298,2016/11/26,in the early afternoon,40,\"Kinsley, Olivia\"\ne23305,2016/11/27,in the late afternoon,43,Piper\ne23306,2016/11/27,in the morning,40,\"Nevaeh, Hazel, Eva\"\ne23307,2016/11/27,in the morning,5,\"Rylee, Hazel, Layla\"\ne23314,2016/11/28,late in the evening,43,\"Nevaeh, Rylee\"\ne23315,2016/11/28,in the morning,46,\"Lydia, Hazel\"\ne23316,2016/11/28,during lunch hours,53,\"Layla, Rylee\"\ne23323,2016/11/29,in the morning,38,\"Lydia, Layla\"\ne23324,2016/11/29,in the early afternoon,44,\"Rylee, Olivia\"\ne23325,2016/11/29,in the early afternoon,22,Kinsley\ne23326,2016/11/29,in the early evening,24,\"Eva, Claire\"\ne23333,2016/11/30,in the late afternoon,10,Layla\ne23334,2016/11/30,in the late afternoon,7,Rylee\ne23335,2016/11/30,in the early afternoon,8,\"Lydia, Nevaeh, Avery, Layla\"\ne23342,2016/12/01,during lunch hours,38,Claire\ne23343,2016/12/01,in the early evening,52,\"Olivia, Lydia\"\ne23344,2016/12/01,late in the evening,51,\"Lydia, Hazel\"\ne23345,2016/12/01,in the morning,46,\"Piper, Piper\"\ne23352,2016/12/02,during lunch hours,51,\"Kinsley, Olivia, Piper\"\ne23353,2016/12/02,in the early afternoon,31,Layla\ne23359,2016/12/03,in the early evening,33,\"Avery, Nevaeh\"\ne23360,2016/12/03,in the early afternoon,55,\"Olivia, Avery, Nevaeh, Claire\"\ne23361,2016/12/03,in the morning,14,\"Piper, Avery, Piper, Claire\"\ne23368,2016/12/04,in the late afternoon,44,\"Layla, Olivia, Piper\"\ne23369,2016/12/04,in the early afternoon,19,\"Nora, Rylee, Claire, Kinsley\"\ne23370,2016/12/04,in the early evening,34,Layla\ne23371,2016/12/04,late in the evening,29,\"Avery, Nora, Hazel, Claire\"\ne23378,2016/12/05,in the early afternoon,22,\"Olivia, Nora, Avery, Hazel\"\ne23379,2016/12/05,during lunch hours,52,\"Nevaeh, Piper\"\ne23385,2016/12/06,in the early afternoon,11,\"Eva, Claire, Rylee\"\ne23386,2016/12/06,in the morning,23,\"Claire, Piper, Olivia\"\ne23387,2016/12/06,in the early afternoon,34,\"Nevaeh, Lydia, Olivia, Avery\"\ne23394,2016/12/07,in the early afternoon,9,\"Eva, Lydia, Claire, Piper\"\ne23395,2016/12/07,in the late afternoon,32,\"Rylee, Olivia, Nevaeh\"\ne23402,2016/12/08,in the early afternoon,10,Nevaeh\ne23403,2016/12/08,in the early afternoon,41,\"Layla, Hazel, Rylee\"\ne23404,2016/12/08,in the morning,12,Nevaeh\ne23405,2016/12/08,in the morning,12,\"Avery, Claire\"\ne23412,2016/12/09,in the early evening,12,\"Rylee, Claire, Avery, Eva\"\ne23413,2016/12/09,late in the evening,31,\"Eva, Nevaeh, Nora\"\ne23420,2016/12/10,in the late afternoon,21,Layla\ne23421,2016/12/10,in the early afternoon,25,\"Nevaeh, Kinsley, Eva\"\ne23427,2016/12/11,in the morning,36,Rylee\ne23428,2016/12/11,in the morning,24,\"Olivia, Avery, Hazel\"\ne23429,2016/12/11,in the early evening,47,Kinsley\ne23430,2016/12/11,in the late afternoon,24,\"Olivia, Kinsley\"\ne23437,2016/12/12,in the early afternoon,27,\"Piper, Claire, Olivia, Lydia\"\ne23438,2016/12/12,in the early evening,6,\"Layla, Nora, Eva, Nevaeh\"\ne23445,2016/12/13,in the morning,27,\"Eva, Lydia\"\ne23446,2016/12/13,in the morning,53,\"Kinsley, Olivia, Avery, Piper\"\ne23447,2016/12/13,in the morning,42,Olivia\ne23454,2016/12/14,during lunch hours,32,\"Hazel, Rylee, Nora, Claire\"\ne23455,2016/12/14,in the late afternoon,37,Eva\ne23456,2016/12/14,in the late afternoon,26,\"Claire, Kinsley, Avery, Piper\"\ne23463,2016/12/15,during lunch hours,15,Piper\ne23464,2016/12/15,during lunch hours,15,\"Nevaeh, Lydia, Piper\"\ne23465,2016/12/15,in the early afternoon,36,\"Nora, Nevaeh, Kinsley\"\ne23471,2016/12/16,in the early afternoon,8,Kinsley\ne23472,2016/12/16,in the early afternoon,43,\"Piper, Avery, Kinsley, Rylee\"\ne23473,2016/12/16,during lunch hours,53,\"Nevaeh, Piper, Layla\"\ne23480,2016/12/17,in the early afternoon,55,\"Piper, Kinsley, Olivia, Nevaeh\"\ne23481,2016/12/17,in the late afternoon,20,Layla\ne23482,2016/12/17,late in the evening,12,\"Kinsley, Olivia, Eva\"\ne23489,2016/12/18,in the early evening,41,Claire\ne23490,2016/12/18,in the morning,39,\"Rylee, Eva\"\ne23491,2016/12/18,in the early evening,36,Lydia\ne23498,2016/12/19,late in the evening,37,\"Avery, Nora, Piper, Piper\"\ne23499,2016/12/19,in the morning,15,Claire\ne23500,2016/12/19,in the early evening,14,\"Nora, Hazel, Piper, Claire\"\ne23507,2016/12/20,in the late afternoon,15,Eva\ne23508,2016/12/20,in the early afternoon,5,\"Kinsley, Nora, Olivia, Hazel\"\ne23515,2016/12/21,late in the evening,20,\"Eva, Kinsley, Piper, Avery\"\ne23516,2016/12/21,in the morning,44,\"Olivia, Layla, Hazel\"\ne23517,2016/12/21,in the early evening,43,\"Kinsley, Lydia, Piper\"\ne23524,2016/12/22,in the early afternoon,33,\"Hazel, Claire\"\ne23525,2016/12/22,in the morning,13,\"Lydia, Hazel, Piper\"\ne23526,2016/12/22,late in the evening,28,Hazel\ne23533,2016/12/23,in the late afternoon,31,\"Piper, Olivia\"\ne23534,2016/12/23,in the late afternoon,42,\"Lydia, Claire\"\ne23535,2016/12/23,in the late afternoon,39,Eva\ne23542,2016/12/24,late in the evening,32,Nora\ne23543,2016/12/24,in the late afternoon,36,Lydia\ne23544,2016/12/24,in the late afternoon,15,\"Piper, Layla, Hazel\"\ne23550,2016/12/25,in the late afternoon,35,Rylee\ne23551,2016/12/25,late in the evening,38,\"Piper, Nevaeh\"\ne23552,2016/12/25,during lunch hours,10,Piper\ne23559,2016/12/26,in the early afternoon,48,\"Avery, Eva\"\ne23560,2016/12/26,late in the evening,53,\"Hazel, Claire\"\ne23561,2016/12/26,during lunch hours,11,\"Lydia, Nora, Layla\"\ne23568,2016/12/27,late in the evening,5,Avery\ne23569,2016/12/27,in the late afternoon,49,Nora\ne23570,2016/12/27,in the early afternoon,9,\"Layla, Nevaeh, Claire, Piper\"\ne23571,2016/12/27,in the morning,49,\"Piper, Olivia, Claire, Layla\"\ne23578,2016/12/28,late in the evening,17,\"Lydia, Olivia\"\ne23579,2016/12/28,in the early evening,53,Hazel\ne23580,2016/12/28,during lunch hours,55,\"Nora, Olivia, Avery, Hazel\"\ne23587,2016/12/29,during lunch hours,13,\"Lydia, Nora, Piper\"\ne23588,2016/12/29,in the early evening,32,\"Claire, Piper, Avery\"\ne23594,2016/12/30,in the early afternoon,43,\"Hazel, Piper\"\ne23595,2016/12/30,during lunch hours,37,\"Kinsley, Layla, Nora, Piper\"\ne23596,2016/12/30,in the early afternoon,49,\"Avery, Layla, Lydia\"\ne23603,2016/12/31,late in the evening,7,\"Lydia, Nevaeh, Eva, Piper\"\ne23604,2016/12/31,in the late afternoon,19,\"Lydia, Olivia, Claire\"\ne23605,2016/12/31,in the early evening,17,\"Hazel, Layla, Lydia\"\ne23606,2016/12/31,during lunch hours,18,Piper\ne23836,2017/01/01,in the early evening,34,\"Lydia, Eva, Olivia, Nora\"\ne23837,2017/01/01,in the morning,24,Piper\ne23844,2017/01/02,in the early afternoon,7,\"Nevaeh, Avery, Eva, Kinsley\"\ne23845,2017/01/02,in the morning,23,Nevaeh\ne23846,2017/01/02,in the morning,17,\"Kinsley, Lydia\"\ne23847,2017/01/02,in the late afternoon,21,\"Nora, Lydia, Layla, Olivia\"\ne23854,2017/01/03,late in the evening,49,\"Hazel, Layla, Nora, Kinsley\"\ne23855,2017/01/03,during lunch hours,7,\"Claire, Piper\"\ne23856,2017/01/03,in the early evening,10,Avery\ne23863,2017/01/04,in the early evening,23,Lydia\ne23864,2017/01/04,late in the evening,41,\"Hazel, Claire, Avery\"\ne23865,2017/01/04,in the morning,9,\"Claire, Layla, Nevaeh\"\ne23872,2017/01/05,in the late afternoon,55,Avery\ne23873,2017/01/05,during lunch hours,33,\"Lydia, Kinsley, Avery\"\ne23880,2017/01/06,in the early afternoon,20,Eva\ne23881,2017/01/06,during lunch hours,47,\"Layla, Eva\"\ne23888,2017/01/07,during lunch hours,53,\"Hazel, Layla\"\ne23889,2017/01/07,in the early evening,52,Claire\ne23890,2017/01/07,in the morning,49,Hazel\ne23891,2017/01/07,in the early afternoon,54,\"Eva, Lydia\"\ne23898,2017/01/08,in the early afternoon,26,\"Olivia, Piper, Kinsley, Avery\"\ne23899,2017/01/08,in the early evening,50,\"Olivia, Kinsley, Layla, Rylee\"\ne23900,2017/01/08,in the early evening,25,\"Piper, Claire\"\ne23907,2017/01/09,in the early afternoon,22,\"Piper, Hazel, Layla\"\ne23908,2017/01/09,in the early evening,39,\"Kinsley, Layla, Nevaeh\"\ne23914,2017/01/10,in the late afternoon,24,Olivia\ne23915,2017/01/10,in the early afternoon,12,\"Nora, Kinsley, Lydia\"\ne23921,2017/01/11,in the morning,6,\"Layla, Nevaeh\"\ne23922,2017/01/11,in the early evening,15,\"Nora, Avery, Eva, Piper\"\ne23923,2017/01/11,in the early evening,22,Eva\ne23929,2017/01/12,in the early afternoon,47,\"Rylee, Lydia\"\ne23930,2017/01/12,in the late afternoon,21,\"Piper, Claire, Rylee\"\ne23931,2017/01/12,late in the evening,37,\"Nora, Rylee\"\ne23937,2017/01/13,during lunch hours,26,Kinsley\ne23938,2017/01/13,in the early afternoon,34,\"Eva, Claire, Piper\"\ne23939,2017/01/13,in the late afternoon,48,Avery\ne23940,2017/01/13,in the early evening,49,Nevaeh\ne23946,2017/01/14,in the morning,25,\"Hazel, Nora, Claire, Olivia\"\ne23952,2017/01/15,in the early evening,49,Piper\ne23953,2017/01/15,in the morning,28,Piper\ne23954,2017/01/15,in the late afternoon,46,\"Lydia, Hazel\"\ne23955,2017/01/15,in the morning,9,\"Nevaeh, Piper\"\ne23961,2017/01/16,late in the evening,34,\"Layla, Olivia, Lydia\"\ne23962,2017/01/16,in the early afternoon,30,\"Lydia, Hazel, Layla, Eva\"\ne23963,2017/01/16,in the morning,8,\"Lydia, Kinsley\"\ne23969,2017/01/17,in the late afternoon,49,\"Piper, Nora, Nevaeh\"\ne23970,2017/01/17,in the early evening,27,\"Claire, Rylee, Eva\"\ne23977,2017/01/18,in the early evening,35,\"Lydia, Nevaeh\"\ne23978,2017/01/18,during lunch hours,13,Lydia\ne23984,2017/01/19,in the early evening,40,\"Claire, Rylee, Lydia\"\ne23985,2017/01/19,in the morning,53,Nora\ne23992,2017/01/20,late in the evening,8,\"Avery, Kinsley\"\ne23993,2017/01/20,in the early afternoon,10,\"Nora, Nevaeh, Olivia, Avery\"\ne23999,2017/01/21,during lunch hours,25,\"Avery, Claire, Lydia, Rylee\"\ne24000,2017/01/21,during lunch hours,27,Nora\ne24001,2017/01/21,during lunch hours,44,\"Rylee, Piper, Nevaeh, Eva\"\ne24002,2017/01/21,in the early afternoon,9,\"Olivia, Rylee\"\ne24009,2017/01/22,late in the evening,15,Piper\ne24010,2017/01/22,in the early afternoon,33,\"Rylee, Kinsley, Lydia, Piper\"\ne24011,2017/01/22,in the early afternoon,23,\"Olivia, Rylee\"\ne24018,2017/01/23,in the early evening,7,\"Lydia, Piper\"\ne24019,2017/01/23,late in the evening,12,Piper\ne24020,2017/01/23,during lunch hours,47,Piper\ne24021,2017/01/23,late in the evening,47,\"Avery, Nevaeh, Hazel, Lydia\"\ne24028,2017/01/24,in the late afternoon,47,Nevaeh\ne24029,2017/01/24,late in the evening,33,\"Rylee, Nora, Avery, Claire\"\ne24036,2017/01/25,late in the evening,10,Layla\ne24043,2017/01/26,in the morning,35,\"Nora, Rylee\"\ne24044,2017/01/26,in the early evening,23,\"Eva, Hazel, Layla\"\ne24045,2017/01/26,during lunch hours,15,Rylee\ne24052,2017/01/27,during lunch hours,39,\"Lydia, Hazel, Kinsley, Piper\"\ne24053,2017/01/27,late in the evening,45,\"Claire, Eva, Avery, Nora\"\ne24054,2017/01/27,in the early evening,35,\"Eva, Claire, Nevaeh\"\ne24061,2017/01/28,in the early evening,27,Kinsley\ne24062,2017/01/28,late in the evening,29,\"Rylee, Olivia, Claire\"\ne24069,2017/01/29,late in the evening,44,\"Olivia, Claire\"\ne24070,2017/01/29,during lunch hours,17,\"Lydia, Olivia, Nora\"\ne24071,2017/01/29,in the late afternoon,18,\"Olivia, Layla, Piper, Lydia\"\ne24078,2017/01/30,in the early afternoon,21,Olivia\ne24085,2017/01/31,in the late afternoon,48,\"Hazel, Eva, Nevaeh\"\ne24086,2017/01/31,in the late afternoon,53,\"Olivia, Nora, Eva, Nevaeh\"\ne24087,2017/01/31,in the early afternoon,17,\"Olivia, Nora, Rylee, Piper\"\ne24094,2017/02/01,in the morning,55,Avery\ne24095,2017/02/01,during lunch hours,5,\"Kinsley, Eva, Layla, Rylee\"\ne24096,2017/02/01,during lunch hours,39,\"Avery, Kinsley\"\ne24097,2017/02/01,in the late afternoon,35,\"Olivia, Piper, Piper\"\ne24104,2017/02/02,in the early evening,23,Layla\ne24105,2017/02/02,in the late afternoon,38,\"Piper, Olivia, Claire, Hazel\"\ne24112,2017/02/03,in the early evening,5,\"Piper, Avery\"\ne24113,2017/02/03,during lunch hours,13,\"Olivia, Piper, Nora\"\ne24120,2017/02/04,late in the evening,43,\"Nora, Hazel, Nevaeh\"\ne24121,2017/02/04,late in the evening,9,\"Piper, Layla\"\ne24122,2017/02/04,in the early afternoon,41,\"Hazel, Piper, Nora, Piper\"\ne24129,2017/02/05,late in the evening,32,\"Piper, Eva, Piper, Olivia\"\ne24130,2017/02/05,in the morning,24,\"Piper, Piper\"\ne24137,2017/02/06,in the early evening,49,\"Olivia, Rylee, Layla\"\ne24138,2017/02/06,in the early evening,48,\"Nora, Lydia, Claire, Olivia\"\ne24139,2017/02/06,in the late afternoon,38,\"Nora, Nevaeh, Lydia, Piper\"\ne24146,2017/02/07,late in the evening,20,\"Piper, Layla\"\ne24147,2017/02/07,during lunch hours,18,Piper\ne24148,2017/02/07,late in the evening,17,Layla\ne24149,2017/02/07,in the morning,33,Eva\ne24156,2017/02/08,in the early evening,45,\"Nora, Lydia, Claire, Nevaeh\"\ne24157,2017/02/08,late in the evening,25,\"Avery, Lydia, Piper, Kinsley\"\ne24158,2017/02/08,in the morning,49,\"Nevaeh, Olivia, Kinsley, Piper\"\ne24165,2017/02/09,in the early afternoon,47,\"Lydia, Layla, Olivia, Piper\"\ne24166,2017/02/09,in the early evening,34,\"Layla, Claire, Avery, Piper\"\ne24167,2017/02/09,late in the evening,15,\"Nora, Layla, Nevaeh, Rylee\"\ne24174,2017/02/10,late in the evening,9,\"Avery, Nora, Piper, Hazel\"\ne24175,2017/02/10,during lunch hours,10,\"Layla, Eva, Lydia\"\ne24181,2017/02/11,during lunch hours,10,Piper\ne24182,2017/02/11,late in the evening,15,Rylee\ne24189,2017/02/12,in the early evening,32,\"Nora, Eva, Hazel, Layla\"\ne24190,2017/02/12,in the morning,25,\"Nevaeh, Layla\"\ne24191,2017/02/12,late in the evening,13,\"Nevaeh, Piper\"\ne24192,2017/02/12,late in the evening,29,\"Avery, Eva\"\ne24199,2017/02/13,in the morning,31,\"Olivia, Piper\"\ne24200,2017/02/13,late in the evening,46,\"Hazel, Lydia, Claire, Olivia\"\ne24201,2017/02/13,in the early evening,46,\"Piper, Avery, Piper, Kinsley\"\ne24208,2017/02/14,in the early afternoon,38,\"Avery, Layla\"\ne24209,2017/02/14,in the late afternoon,49,\"Avery, Claire, Piper, Olivia\"\ne24210,2017/02/14,during lunch hours,44,\"Eva, Claire, Avery\"\ne24217,2017/02/15,in the early evening,54,\"Hazel, Nora\"\ne24218,2017/02/15,in the morning,31,\"Piper, Olivia, Layla\"\ne24225,2017/02/16,during lunch hours,50,\"Piper, Nora\"\ne24226,2017/02/16,during lunch hours,21,\"Layla, Piper, Piper\"\ne24227,2017/02/16,in the early afternoon,16,\"Hazel, Avery, Eva\"\ne24234,2017/02/17,in the early afternoon,52,Rylee\ne24235,2017/02/17,in the early afternoon,25,\"Eva, Avery, Rylee\"\ne24242,2017/02/18,in the early evening,24,Avery\ne24243,2017/02/18,during lunch hours,16,Nora\ne24244,2017/02/18,late in the evening,37,\"Nevaeh, Piper\"\ne24245,2017/02/18,in the early afternoon,42,\"Nevaeh, Olivia, Hazel\"\ne24252,2017/02/19,late in the evening,35,\"Rylee, Nora, Hazel, Layla\"\ne24253,2017/02/19,in the late afternoon,10,\"Lydia, Olivia, Piper\"\ne24254,2017/02/19,in the early evening,34,\"Lydia, Piper, Rylee, Nora\"\ne24260,2017/02/20,during lunch hours,35,\"Olivia, Nora\"\ne24261,2017/02/20,in the early evening,37,\"Piper, Nora, Eva, Claire\"\ne24262,2017/02/20,during lunch hours,20,\"Lydia, Eva\"\ne24269,2017/02/21,late in the evening,30,\"Kinsley, Nevaeh, Piper, Nora\"\ne24270,2017/02/21,in the early evening,48,\"Piper, Rylee, Nevaeh\"\ne24277,2017/02/22,during lunch hours,20,Lydia\ne24278,2017/02/22,in the early evening,11,\"Kinsley, Nevaeh, Piper\"\ne24285,2017/02/23,late in the evening,29,\"Kinsley, Hazel, Piper\"\ne24286,2017/02/23,in the late afternoon,55,\"Eva, Kinsley, Piper\"\ne24287,2017/02/23,in the late afternoon,38,Kinsley\ne24288,2017/02/23,during lunch hours,53,\"Piper, Nevaeh, Layla, Olivia\"\ne24295,2017/02/24,in the early afternoon,36,\"Piper, Nevaeh, Layla, Piper\"\ne24296,2017/02/24,in the early evening,8,\"Nora, Rylee, Hazel\"\ne24297,2017/02/24,late in the evening,24,\"Avery, Claire, Layla\"\ne24304,2017/02/25,in the early afternoon,20,\"Piper, Nevaeh, Hazel\"\ne24311,2017/02/26,in the morning,38,\"Piper, Layla, Hazel, Rylee\"\ne24312,2017/02/26,late in the evening,12,\"Eva, Avery, Layla\"\ne24313,2017/02/26,in the late afternoon,34,\"Avery, Layla, Eva, Piper\"\ne24320,2017/02/27,in the early afternoon,43,Claire\ne24321,2017/02/27,in the early evening,42,Kinsley\ne24322,2017/02/27,during lunch hours,18,\"Kinsley, Piper, Claire, Eva\"\ne24323,2017/02/27,in the late afternoon,15,\"Claire, Layla, Kinsley\"\ne24330,2017/02/28,in the morning,37,\"Piper, Eva\"\ne24331,2017/02/28,in the late afternoon,23,\"Layla, Avery, Kinsley, Lydia\"\ne24332,2017/02/28,late in the evening,40,Piper\ne24339,2017/03/01,in the early afternoon,9,\"Eva, Nora, Hazel\"\ne24340,2017/03/01,in the morning,14,\"Nevaeh, Piper, Nora, Claire\"\ne24341,2017/03/01,late in the evening,48,\"Piper, Claire, Olivia, Layla\"\ne24347,2017/03/02,late in the evening,54,Layla\ne24348,2017/03/02,in the late afternoon,40,Hazel\ne24349,2017/03/02,in the morning,14,\"Nevaeh, Claire, Eva\"\ne24350,2017/03/02,in the late afternoon,16,\"Eva, Claire, Hazel\"\ne24357,2017/03/03,in the early evening,23,\"Nevaeh, Piper\"\ne24358,2017/03/03,late in the evening,24,\"Nevaeh, Olivia\"\ne24365,2017/03/04,during lunch hours,34,\"Layla, Rylee\"\ne24366,2017/03/04,in the early afternoon,44,Piper\ne24367,2017/03/04,during lunch hours,28,\"Layla, Hazel\"\ne24373,2017/03/05,in the morning,9,\"Olivia, Hazel, Piper, Piper\"\ne24374,2017/03/05,in the early afternoon,52,\"Eva, Piper, Lydia, Claire\"\ne24375,2017/03/05,in the late afternoon,32,\"Kinsley, Hazel, Piper\"\ne24382,2017/03/06,in the early evening,7,Piper\ne24383,2017/03/06,in the morning,28,\"Eva, Claire\"\ne24384,2017/03/06,in the early evening,10,Hazel\ne24391,2017/03/07,in the morning,22,\"Kinsley, Lydia\"\ne24392,2017/03/07,late in the evening,9,\"Avery, Olivia, Hazel, Kinsley\"\ne24399,2017/03/08,in the early afternoon,18,Piper\ne24400,2017/03/08,in the early afternoon,10,\"Olivia, Piper, Nevaeh, Kinsley\"\ne24401,2017/03/08,in the early afternoon,24,Claire\ne24408,2017/03/09,during lunch hours,41,\"Olivia, Claire, Avery, Piper\"\ne24409,2017/03/09,late in the evening,13,\"Piper, Eva, Piper\"\ne24410,2017/03/09,in the late afternoon,40,\"Lydia, Kinsley, Piper, Piper\"\ne24411,2017/03/09,late in the evening,53,\"Piper, Kinsley, Lydia, Nora\"\ne24418,2017/03/10,in the early evening,43,\"Olivia, Nevaeh\"\ne24419,2017/03/10,in the early afternoon,54,\"Layla, Claire, Nora, Piper\"\ne24425,2017/03/11,in the early afternoon,11,\"Piper, Hazel, Piper\"\ne24426,2017/03/11,late in the evening,44,Avery\ne24433,2017/03/12,in the late afternoon,9,\"Piper, Kinsley, Layla, Nora\"\ne24434,2017/03/12,in the late afternoon,37,\"Layla, Kinsley\"\ne24435,2017/03/12,in the late afternoon,5,\"Layla, Hazel\"\ne24442,2017/03/13,in the early afternoon,41,\"Nevaeh, Eva, Piper, Hazel\"\ne24443,2017/03/13,late in the evening,35,\"Hazel, Nora, Avery, Nevaeh\"\ne24444,2017/03/13,late in the evening,29,\"Avery, Nora, Lydia, Piper\"\ne24451,2017/03/14,late in the evening,17,Kinsley\ne24452,2017/03/14,late in the evening,26,\"Nora, Avery, Hazel, Eva\"\ne24453,2017/03/14,in the early afternoon,55,\"Piper, Lydia, Piper\"\ne24460,2017/03/15,late in the evening,38,Nevaeh\ne24461,2017/03/15,in the early evening,10,Kinsley\ne24462,2017/03/15,in the morning,43,\"Lydia, Nora, Olivia, Kinsley\"\ne24463,2017/03/15,in the early evening,15,\"Kinsley, Layla, Piper, Avery\"\ne24470,2017/03/16,in the early evening,38,Eva\ne24471,2017/03/16,in the early evening,11,\"Piper, Nora, Nevaeh, Kinsley\"\ne24472,2017/03/16,in the morning,16,\"Olivia, Hazel\"\ne24473,2017/03/16,during lunch hours,49,\"Rylee, Kinsley, Lydia, Claire\"\ne24480,2017/03/17,in the early afternoon,27,Nora\ne24481,2017/03/17,in the morning,39,\"Rylee, Piper, Hazel\"\ne24488,2017/03/18,in the early afternoon,5,\"Layla, Piper, Rylee\"\ne24489,2017/03/18,late in the evening,22,\"Kinsley, Lydia\"\ne24495,2017/03/19,late in the evening,29,\"Eva, Piper\"\ne24496,2017/03/19,late in the evening,43,\"Kinsley, Piper, Eva\"\ne24497,2017/03/19,late in the evening,5,Piper\ne24504,2017/03/20,in the early afternoon,46,\"Claire, Layla\"\ne24511,2017/03/21,in the late afternoon,55,\"Eva, Rylee, Claire, Avery\"\ne24512,2017/03/21,during lunch hours,21,\"Layla, Hazel\"\ne24513,2017/03/21,late in the evening,17,Avery\ne24520,2017/03/22,in the morning,6,\"Hazel, Nevaeh\"\ne24521,2017/03/22,in the late afternoon,10,\"Piper, Layla, Avery\"\ne24522,2017/03/22,late in the evening,38,\"Kinsley, Olivia\"\ne24523,2017/03/22,in the early afternoon,36,\"Layla, Olivia\"\ne24530,2017/03/23,in the early evening,44,\"Piper, Lydia, Eva\"\ne24531,2017/03/23,in the late afternoon,38,Claire\ne24537,2017/03/24,during lunch hours,15,\"Eva, Piper, Nora\"\ne24538,2017/03/24,in the early evening,20,\"Avery, Nora, Lydia\"\ne24539,2017/03/24,in the morning,42,\"Kinsley, Nora, Avery\"\ne24546,2017/03/25,in the early afternoon,42,\"Kinsley, Hazel\"\ne24547,2017/03/25,in the early afternoon,25,Rylee\ne24548,2017/03/25,in the early afternoon,39,\"Claire, Avery\"\ne24549,2017/03/25,late in the evening,27,Piper\ne24556,2017/03/26,in the morning,8,\"Layla, Kinsley, Nora, Olivia\"\ne24557,2017/03/26,during lunch hours,19,Lydia\ne24558,2017/03/26,in the morning,42,\"Lydia, Eva\"\ne24559,2017/03/26,in the morning,26,\"Avery, Kinsley, Olivia, Rylee\"\ne24566,2017/03/27,in the early afternoon,17,\"Layla, Claire, Eva\"\ne24567,2017/03/27,in the early afternoon,6,Lydia\ne24574,2017/03/28,late in the evening,46,\"Olivia, Piper, Lydia, Rylee\"\ne24575,2017/03/28,in the late afternoon,25,\"Layla, Nora\"\ne24582,2017/03/29,in the morning,33,\"Olivia, Kinsley\"\ne24583,2017/03/29,in the early evening,54,Avery\ne24584,2017/03/29,in the morning,19,Piper\ne24585,2017/03/29,during lunch hours,5,\"Nevaeh, Claire, Olivia, Lydia\"\ne24592,2017/03/30,during lunch hours,34,\"Rylee, Piper, Claire\"\ne24593,2017/03/30,in the morning,43,\"Kinsley, Piper\"\ne24600,2017/03/31,in the early afternoon,51,\"Claire, Hazel, Lydia, Olivia\"\ne24601,2017/03/31,in the morning,35,\"Eva, Rylee, Claire\"\ne24608,2017/04/01,in the early afternoon,31,\"Piper, Nora, Claire, Rylee\"\ne24609,2017/04/01,in the late afternoon,29,Layla\ne24610,2017/04/01,in the early evening,32,\"Rylee, Claire, Nevaeh\"\ne24617,2017/04/02,late in the evening,11,\"Avery, Piper\"\ne24618,2017/04/02,during lunch hours,31,\"Nevaeh, Olivia, Layla\"\ne24625,2017/04/03,in the early evening,8,\"Eva, Piper, Lydia, Rylee\"\ne24626,2017/04/03,late in the evening,42,\"Avery, Nevaeh\"\ne24633,2017/04/04,in the early evening,50,\"Piper, Nevaeh, Nora\"\ne24634,2017/04/04,during lunch hours,6,\"Rylee, Hazel\"\ne24635,2017/04/04,late in the evening,10,\"Claire, Eva\"\ne24642,2017/04/05,in the morning,5,\"Rylee, Layla, Avery, Claire\"\ne24643,2017/04/05,in the early evening,35,Claire\ne24649,2017/04/06,in the early evening,10,Claire\ne24650,2017/04/06,in the early afternoon,55,\"Rylee, Avery, Eva\"\ne24651,2017/04/06,in the morning,7,Nevaeh\ne24658,2017/04/07,in the late afternoon,35,\"Lydia, Avery\"\ne24659,2017/04/07,in the early afternoon,43,Piper\ne24660,2017/04/07,in the morning,55,\"Olivia, Nora, Layla, Avery\"\ne24667,2017/04/08,late in the evening,9,\"Piper, Nevaeh, Lydia, Layla\"\ne24668,2017/04/08,in the early evening,17,Eva\ne24675,2017/04/09,during lunch hours,10,\"Kinsley, Claire, Piper\"\ne24676,2017/04/09,late in the evening,17,\"Rylee, Eva, Piper, Layla\"\ne24677,2017/04/09,during lunch hours,41,Nora\ne24684,2017/04/10,in the early afternoon,21,Claire\ne24685,2017/04/10,in the early afternoon,54,\"Nevaeh, Layla\"\ne24686,2017/04/10,late in the evening,34,Rylee\ne24693,2017/04/11,in the early evening,11,\"Claire, Lydia\"\ne24694,2017/04/11,in the late afternoon,9,\"Eva, Avery, Piper, Rylee\"\ne24695,2017/04/11,in the early afternoon,55,\"Avery, Rylee, Nevaeh\"\ne24702,2017/04/12,in the morning,10,Olivia\ne24703,2017/04/12,late in the evening,19,\"Layla, Kinsley, Eva\"\ne24704,2017/04/12,in the early evening,38,\"Piper, Rylee, Eva\"\ne24710,2017/04/13,late in the evening,31,\"Eva, Lydia, Claire\"\ne24711,2017/04/13,in the early evening,37,\"Rylee, Nevaeh, Piper, Kinsley\"\ne24712,2017/04/13,in the early afternoon,14,\"Hazel, Layla, Claire\"\ne24719,2017/04/14,in the late afternoon,25,\"Piper, Hazel\"\ne24720,2017/04/14,late in the evening,26,\"Rylee, Nevaeh, Layla, Hazel\"\ne24727,2017/04/15,in the morning,39,\"Hazel, Lydia, Nevaeh, Kinsley\"\ne24728,2017/04/15,in the late afternoon,7,\"Piper, Layla, Nora, Avery\"\ne24735,2017/04/16,in the early afternoon,53,\"Nevaeh, Hazel\"\ne24736,2017/04/16,in the morning,30,Avery\ne24743,2017/04/17,in the early evening,39,\"Kinsley, Nevaeh, Avery\"\ne24744,2017/04/17,during lunch hours,10,\"Piper, Nora\"\ne24745,2017/04/17,during lunch hours,22,\"Olivia, Hazel\"\ne24752,2017/04/18,in the late afternoon,50,Kinsley\ne24753,2017/04/18,in the early afternoon,18,\"Rylee, Nora, Lydia, Hazel\"\ne24760,2017/04/19,late in the evening,30,\"Lydia, Nora, Piper\"\ne24761,2017/04/19,late in the evening,27,\"Nevaeh, Piper, Rylee\"\ne24768,2017/04/20,during lunch hours,6,\"Kinsley, Olivia\"\ne24769,2017/04/20,in the morning,37,Kinsley\ne24776,2017/04/21,late in the evening,28,\"Claire, Avery, Olivia, Layla\"\ne24777,2017/04/21,during lunch hours,48,\"Hazel, Kinsley, Avery, Piper\"\ne24784,2017/04/22,during lunch hours,26,Piper\ne24785,2017/04/22,in the early afternoon,23,\"Eva, Nora, Kinsley, Claire\"\ne24786,2017/04/22,in the early evening,47,\"Nevaeh, Rylee, Eva, Nora\"\ne24787,2017/04/22,in the early afternoon,30,Claire\ne24794,2017/04/23,in the morning,8,\"Piper, Hazel\"\ne24795,2017/04/23,during lunch hours,12,\"Piper, Nevaeh, Kinsley, Hazel\"\ne24802,2017/04/24,during lunch hours,16,\"Kinsley, Nora\"\ne24803,2017/04/24,in the morning,13,Lydia\ne24810,2017/04/25,in the early afternoon,52,Layla\ne24811,2017/04/25,in the morning,11,\"Lydia, Rylee, Avery, Hazel\"\ne24812,2017/04/25,late in the evening,29,\"Olivia, Hazel\"\ne24813,2017/04/25,in the early evening,5,\"Layla, Hazel, Piper\"\ne24820,2017/04/26,in the early evening,50,\"Eva, Lydia\"\ne24821,2017/04/26,in the late afternoon,48,\"Layla, Avery\"\ne24828,2017/04/27,in the late afternoon,54,\"Lydia, Eva\"\ne24829,2017/04/27,late in the evening,38,Claire\ne24836,2017/04/28,in the early evening,23,Nevaeh\ne24837,2017/04/28,late in the evening,44,\"Piper, Nevaeh\"\ne24838,2017/04/28,late in the evening,15,\"Lydia, Claire, Layla\"\ne24845,2017/04/29,during lunch hours,26,Olivia\ne24846,2017/04/29,in the early evening,49,Claire\ne24853,2017/04/30,in the early afternoon,40,Layla\ne24854,2017/04/30,in the late afternoon,11,\"Piper, Layla, Olivia\"\ne24855,2017/04/30,in the morning,39,Olivia\ne24862,2017/05/01,in the morning,31,Piper\ne24863,2017/05/01,late in the evening,33,\"Rylee, Olivia, Layla, Lydia\"\ne24870,2017/05/02,during lunch hours,26,\"Rylee, Piper, Avery, Lydia\"\ne24871,2017/05/02,in the early afternoon,52,\"Layla, Lydia, Nora, Avery\"\ne24872,2017/05/02,in the morning,26,\"Layla, Nora, Nevaeh, Olivia\"\ne24879,2017/05/03,in the late afternoon,48,\"Nevaeh, Layla, Avery, Lydia\"\ne24880,2017/05/03,in the morning,20,\"Lydia, Kinsley, Claire\"\ne24881,2017/05/03,in the morning,51,Piper\ne24888,2017/05/04,in the early evening,22,Avery\ne24889,2017/05/04,late in the evening,46,\"Kinsley, Piper\"\ne24896,2017/05/05,late in the evening,13,\"Eva, Claire\"\ne24897,2017/05/05,during lunch hours,34,\"Eva, Hazel, Rylee\"\ne24898,2017/05/05,in the early afternoon,36,Eva\ne24904,2017/05/06,in the early afternoon,6,\"Rylee, Piper, Nora\"\ne24905,2017/05/06,during lunch hours,47,\"Rylee, Piper\"\ne24906,2017/05/06,late in the evening,23,\"Claire, Lydia, Eva\"\ne24907,2017/05/06,during lunch hours,46,\"Layla, Avery, Eva\"\ne24914,2017/05/07,during lunch hours,41,\"Piper, Rylee\"\ne24915,2017/05/07,in the morning,47,\"Eva, Lydia, Rylee, Piper\"\ne24916,2017/05/07,in the early afternoon,18,\"Kinsley, Piper\"\ne24917,2017/05/07,in the early evening,13,Layla\ne24924,2017/05/08,during lunch hours,49,Hazel\ne24925,2017/05/08,during lunch hours,49,Piper\ne24926,2017/05/08,in the early evening,48,\"Rylee, Kinsley, Hazel\"\ne24933,2017/05/09,in the early afternoon,15,\"Hazel, Layla, Piper\"\ne24934,2017/05/09,in the morning,8,\"Nevaeh, Rylee, Kinsley\"\ne24935,2017/05/09,in the late afternoon,30,Rylee\ne24936,2017/05/09,late in the evening,44,\"Kinsley, Layla, Lydia, Hazel\"\ne24943,2017/05/10,in the early afternoon,12,\"Eva, Piper\"\ne24944,2017/05/10,in the late afternoon,24,Rylee\ne24945,2017/05/10,in the early evening,36,\"Lydia, Nevaeh, Piper\"\ne24946,2017/05/10,in the early evening,13,Rylee\ne24953,2017/05/11,during lunch hours,42,\"Olivia, Kinsley, Nevaeh\"\ne24954,2017/05/11,in the early afternoon,9,\"Hazel, Piper, Avery, Rylee\"\ne24955,2017/05/11,late in the evening,34,Claire\ne24962,2017/05/12,in the early evening,10,\"Hazel, Eva\"\ne24963,2017/05/12,in the late afternoon,15,Piper\ne24964,2017/05/12,during lunch hours,23,\"Lydia, Layla, Nevaeh\"\ne24965,2017/05/12,in the early afternoon,5,Layla\ne24972,2017/05/13,in the late afternoon,27,Rylee\ne24973,2017/05/13,in the morning,53,\"Layla, Kinsley\"\ne24974,2017/05/13,in the early afternoon,40,\"Piper, Avery\"\ne24981,2017/05/14,in the morning,53,\"Olivia, Avery\"\ne24982,2017/05/14,in the morning,35,\"Nevaeh, Claire\"\ne24989,2017/05/15,in the late afternoon,51,\"Hazel, Piper, Rylee\"\ne24990,2017/05/15,in the early afternoon,41,Kinsley\ne24991,2017/05/15,in the late afternoon,41,\"Rylee, Nevaeh\"\ne24998,2017/05/16,in the early afternoon,30,\"Eva, Rylee\"\ne24999,2017/05/16,in the early afternoon,48,\"Nora, Kinsley, Rylee\"\ne25000,2017/05/16,in the early evening,37,Kinsley\ne25007,2017/05/17,in the late afternoon,17,\"Kinsley, Eva, Nora\"\ne25008,2017/05/17,late in the evening,32,Avery\ne25015,2017/05/18,late in the evening,18,Eva\ne25021,2017/05/19,late in the evening,5,\"Claire, Layla, Rylee\"\ne25022,2017/05/19,in the morning,17,\"Lydia, Hazel, Avery\"\ne25023,2017/05/19,in the early evening,31,\"Lydia, Eva, Avery\"\ne25030,2017/05/20,in the early afternoon,6,Nora\ne25031,2017/05/20,late in the evening,47,\"Lydia, Nevaeh\"\ne25032,2017/05/20,in the morning,24,\"Avery, Kinsley, Layla, Lydia\"\ne25039,2017/05/21,late in the evening,49,\"Nevaeh, Lydia, Rylee, Piper\"\ne25040,2017/05/21,in the early evening,23,\"Nora, Kinsley\"\ne25041,2017/05/21,in the early evening,45,Olivia\ne25048,2017/05/22,late in the evening,43,Piper\ne25049,2017/05/22,in the early evening,30,\"Lydia, Eva, Piper, Piper\"\ne25056,2017/05/23,late in the evening,33,\"Avery, Nevaeh, Nora\"\ne25057,2017/05/23,during lunch hours,40,\"Kinsley, Nevaeh, Rylee\"\ne25064,2017/05/24,during lunch hours,7,\"Hazel, Olivia, Lydia, Kinsley\"\ne25065,2017/05/24,late in the evening,5,\"Layla, Rylee\"\ne25066,2017/05/24,in the late afternoon,50,\"Rylee, Nevaeh, Nora, Piper\"\ne25073,2017/05/25,in the morning,43,\"Layla, Olivia, Nevaeh\"\ne25074,2017/05/25,late in the evening,53,\"Hazel, Eva\"\ne25075,2017/05/25,during lunch hours,32,Piper\ne25082,2017/05/26,late in the evening,33,\"Claire, Rylee\"\ne25083,2017/05/26,during lunch hours,43,\"Lydia, Nora\"\ne25090,2017/05/27,during lunch hours,6,\"Claire, Hazel\"\ne25091,2017/05/27,during lunch hours,40,\"Kinsley, Eva, Nevaeh, Hazel\"\ne25092,2017/05/27,in the early evening,28,\"Rylee, Olivia, Layla, Eva\"\ne25099,2017/05/28,in the late afternoon,36,\"Kinsley, Layla\"\ne25100,2017/05/28,in the early afternoon,30,\"Nora, Claire, Rylee\"\ne25101,2017/05/28,late in the evening,53,\"Layla, Lydia\"\ne25108,2017/05/29,in the morning,35,\"Lydia, Rylee, Hazel\"\ne25109,2017/05/29,late in the evening,8,\"Hazel, Lydia\"\ne25116,2017/05/30,in the early evening,22,\"Nora, Eva\"\ne25117,2017/05/30,late in the evening,23,\"Eva, Nevaeh, Kinsley, Claire\"\ne25118,2017/05/30,in the morning,5,Piper\ne25119,2017/05/30,in the early afternoon,37,\"Kinsley, Lydia\"\ne25126,2017/05/31,during lunch hours,54,\"Avery, Eva, Nevaeh, Piper\"\ne25127,2017/05/31,in the early afternoon,18,\"Eva, Nevaeh\"\ne25128,2017/05/31,in the morning,18,\"Olivia, Avery, Kinsley\"\ne25129,2017/05/31,in the morning,17,\"Avery, Rylee, Piper\"\ne25136,2017/06/01,late in the evening,16,\"Layla, Claire\"\ne25137,2017/06/01,in the early evening,7,\"Avery, Nora\"\ne25144,2017/06/02,in the late afternoon,26,\"Nevaeh, Nora\"\ne25151,2017/06/03,late in the evening,31,\"Hazel, Nora\"\ne25152,2017/06/03,in the late afternoon,6,Lydia\ne25159,2017/06/04,in the early evening,14,\"Piper, Lydia, Hazel\"\ne25160,2017/06/04,in the late afternoon,33,\"Piper, Nora, Avery\"\ne25161,2017/06/04,in the late afternoon,15,\"Avery, Eva\"\ne25168,2017/06/05,in the morning,16,\"Hazel, Piper, Nevaeh\"\ne25169,2017/06/05,in the late afternoon,20,\"Claire, Eva, Piper, Nevaeh\"\ne25176,2017/06/06,during lunch hours,32,\"Piper, Eva\"\ne25177,2017/06/06,in the morning,7,\"Piper, Claire, Lydia, Layla\"\ne25178,2017/06/06,during lunch hours,39,\"Piper, Eva, Lydia, Nevaeh\"\ne25179,2017/06/06,in the morning,40,\"Avery, Nevaeh, Hazel, Piper\"\ne25186,2017/06/07,during lunch hours,23,\"Claire, Piper\"\ne25187,2017/06/07,in the early afternoon,6,\"Nora, Piper\"\ne25188,2017/06/07,during lunch hours,41,Layla\ne25189,2017/06/07,in the late afternoon,44,\"Piper, Kinsley, Claire, Hazel\"\ne25196,2017/06/08,in the morning,15,\"Olivia, Nora, Claire, Hazel\"\ne25197,2017/06/08,during lunch hours,24,\"Avery, Lydia\"\ne25198,2017/06/08,in the early evening,39,\"Nevaeh, Piper, Piper\"\ne25205,2017/06/09,in the late afternoon,32,\"Eva, Lydia, Avery, Nevaeh\"\ne25206,2017/06/09,in the early evening,37,\"Hazel, Avery, Kinsley\"\ne25207,2017/06/09,during lunch hours,47,Hazel\ne25214,2017/06/10,during lunch hours,55,\"Olivia, Claire, Avery, Piper\"\ne25215,2017/06/10,in the early evening,52,\"Lydia, Piper\"\ne25216,2017/06/10,during lunch hours,55,\"Kinsley, Hazel\"\ne25223,2017/06/11,in the early afternoon,51,\"Piper, Nora\"\ne25224,2017/06/11,in the early evening,49,Claire\ne25225,2017/06/11,in the early evening,21,\"Piper, Nevaeh, Piper, Layla\"\ne25226,2017/06/11,in the morning,11,Rylee\ne25233,2017/06/12,in the early afternoon,39,\"Eva, Kinsley, Lydia\"\ne25234,2017/06/12,in the morning,35,\"Piper, Lydia, Piper\"\ne25241,2017/06/13,in the late afternoon,38,\"Rylee, Hazel, Avery, Lydia\"\ne25242,2017/06/13,in the morning,54,Nevaeh\ne25249,2017/06/14,in the early evening,32,\"Eva, Avery, Hazel\"\ne25250,2017/06/14,during lunch hours,23,\"Hazel, Lydia, Olivia\"\ne25251,2017/06/14,late in the evening,54,Nevaeh\ne25258,2017/06/15,during lunch hours,36,\"Nevaeh, Claire\"\ne25259,2017/06/15,in the late afternoon,11,\"Nevaeh, Rylee\"\ne25266,2017/06/16,late in the evening,44,\"Rylee, Piper\"\ne25267,2017/06/16,in the late afternoon,55,\"Olivia, Eva, Layla, Kinsley\"\ne25274,2017/06/17,in the morning,40,\"Claire, Avery, Kinsley\"\ne25275,2017/06/17,during lunch hours,5,\"Lydia, Avery, Piper\"\ne25282,2017/06/18,in the late afternoon,6,\"Rylee, Avery, Kinsley\"\ne25283,2017/06/18,in the late afternoon,51,Kinsley\ne25290,2017/06/19,late in the evening,9,\"Lydia, Piper, Olivia, Kinsley\"\ne25291,2017/06/19,in the late afternoon,40,\"Rylee, Nora, Nevaeh\"\ne25292,2017/06/19,late in the evening,46,\"Claire, Olivia, Eva\"\ne25299,2017/06/20,in the early evening,48,\"Lydia, Avery, Kinsley\"\ne25300,2017/06/20,late in the evening,14,\"Eva, Piper, Olivia\"\ne25301,2017/06/20,late in the evening,38,\"Hazel, Avery\"\ne25302,2017/06/20,during lunch hours,36,Nevaeh\ne25309,2017/06/21,during lunch hours,6,\"Layla, Claire, Olivia, Eva\"\ne25310,2017/06/21,in the late afternoon,41,Hazel\ne25311,2017/06/21,late in the evening,22,\"Rylee, Piper\"\ne25318,2017/06/22,in the morning,22,\"Rylee, Eva, Nora\"\ne25319,2017/06/22,in the late afternoon,21,\"Hazel, Nevaeh, Nora, Avery\"\ne25325,2017/06/23,during lunch hours,53,\"Rylee, Piper\"\ne25326,2017/06/23,during lunch hours,5,\"Layla, Nevaeh, Kinsley, Claire\"\ne25327,2017/06/23,in the late afternoon,38,\"Piper, Nevaeh\"\ne25334,2017/06/24,in the late afternoon,39,\"Rylee, Hazel, Claire, Piper\"\ne25335,2017/06/24,in the early afternoon,15,\"Olivia, Lydia, Layla, Claire\"\ne25336,2017/06/24,in the morning,21,\"Piper, Kinsley, Nevaeh\"\ne25337,2017/06/24,in the early afternoon,30,Claire\ne25344,2017/06/25,in the late afternoon,29,\"Kinsley, Piper, Rylee, Eva\"\ne25345,2017/06/25,in the late afternoon,18,\"Rylee, Olivia, Piper, Nevaeh\"\ne25346,2017/06/25,in the early evening,31,Nora\ne25353,2017/06/26,in the early evening,18,\"Avery, Hazel, Piper, Kinsley\"\ne25354,2017/06/26,in the late afternoon,16,\"Eva, Avery, Kinsley\"\ne25355,2017/06/26,late in the evening,10,Layla\ne25362,2017/06/27,in the early evening,52,\"Nevaeh, Lydia, Rylee\"\ne25363,2017/06/27,during lunch hours,24,\"Avery, Claire\"\ne25364,2017/06/27,during lunch hours,33,Avery\ne25365,2017/06/27,in the early evening,42,Kinsley\ne25372,2017/06/28,late in the evening,51,Nora\ne25373,2017/06/28,in the early evening,14,\"Eva, Piper, Claire\"\ne25374,2017/06/28,in the early evening,45,\"Layla, Piper, Avery\"\ne25381,2017/06/29,in the early afternoon,11,\"Kinsley, Piper, Lydia, Eva\"\ne25382,2017/06/29,late in the evening,45,\"Layla, Eva, Claire, Piper\"\ne25383,2017/06/29,in the early afternoon,35,Nora\ne25384,2017/06/29,in the early evening,7,\"Nora, Lydia\"\ne25391,2017/06/30,in the early evening,30,\"Lydia, Eva\"\ne25392,2017/06/30,in the morning,10,\"Piper, Olivia, Piper\"\ne25393,2017/06/30,in the morning,26,\"Nora, Claire, Kinsley, Olivia\"\ne25400,2017/07/01,in the early evening,33,\"Rylee, Lydia, Kinsley\"\ne25401,2017/07/01,during lunch hours,51,\"Lydia, Hazel\"\ne25402,2017/07/01,in the morning,20,\"Nevaeh, Eva, Claire, Hazel\"\ne25403,2017/07/01,during lunch hours,22,Piper\ne25410,2017/07/02,in the late afternoon,55,Avery\ne25411,2017/07/02,in the early afternoon,19,\"Nevaeh, Lydia, Hazel, Nora\"\ne25412,2017/07/02,in the morning,52,\"Rylee, Olivia\"\ne25419,2017/07/03,in the early afternoon,29,\"Eva, Lydia, Claire, Rylee\"\ne25420,2017/07/03,in the morning,48,\"Avery, Olivia, Kinsley\"\ne25426,2017/07/04,during lunch hours,15,\"Hazel, Olivia, Piper, Nevaeh\"\ne25427,2017/07/04,in the late afternoon,28,\"Layla, Olivia, Hazel\"\ne25428,2017/07/04,during lunch hours,50,\"Lydia, Hazel, Piper\"\ne25429,2017/07/04,in the morning,29,Hazel\ne25436,2017/07/05,late in the evening,34,Piper\ne25437,2017/07/05,in the late afternoon,25,\"Claire, Eva, Kinsley\"\ne25438,2017/07/05,in the early evening,19,Kinsley\ne25445,2017/07/06,in the early afternoon,21,\"Nevaeh, Rylee, Eva, Avery\"\ne25446,2017/07/06,during lunch hours,43,\"Olivia, Lydia\"\ne25447,2017/07/06,in the early afternoon,45,\"Nora, Layla, Rylee, Kinsley\"\ne25454,2017/07/07,during lunch hours,27,Eva\ne25455,2017/07/07,in the early evening,10,\"Avery, Nevaeh, Piper, Layla\"\ne25456,2017/07/07,in the morning,19,\"Rylee, Nora, Piper\"\ne25463,2017/07/08,in the early evening,43,\"Lydia, Piper, Claire, Hazel\"\ne25464,2017/07/08,in the late afternoon,52,\"Eva, Layla\"\ne25465,2017/07/08,in the morning,47,Claire\ne25472,2017/07/09,during lunch hours,8,\"Piper, Layla, Hazel\"\ne25473,2017/07/09,in the late afternoon,46,\"Eva, Rylee, Kinsley, Nora\"\ne25474,2017/07/09,in the early afternoon,37,\"Nora, Layla, Piper, Piper\"\ne25475,2017/07/09,in the morning,47,Eva\ne25482,2017/07/10,in the morning,22,Olivia\ne25489,2017/07/11,in the early evening,9,Layla\ne25490,2017/07/11,in the morning,40,Nevaeh\ne25491,2017/07/11,late in the evening,52,\"Rylee, Avery\"\ne25497,2017/07/12,in the morning,35,\"Piper, Rylee\"\ne25498,2017/07/12,in the late afternoon,35,\"Layla, Hazel, Kinsley\"\ne25505,2017/07/13,in the early afternoon,40,Lydia\ne25506,2017/07/13,in the early evening,37,\"Layla, Kinsley, Avery\"\ne25512,2017/07/14,in the early afternoon,32,\"Eva, Claire, Nevaeh, Avery\"\ne25513,2017/07/14,late in the evening,12,\"Hazel, Nevaeh\"\ne25514,2017/07/14,in the early evening,9,\"Layla, Hazel\"\ne25515,2017/07/14,late in the evening,26,\"Lydia, Layla, Nevaeh, Olivia\"\ne25522,2017/07/15,in the late afternoon,51,\"Olivia, Piper\"\ne25523,2017/07/15,in the morning,35,\"Hazel, Piper, Claire, Kinsley\"\ne25524,2017/07/15,in the early afternoon,34,\"Hazel, Piper, Olivia, Rylee\"\ne25525,2017/07/15,during lunch hours,25,\"Olivia, Piper, Piper\"\ne25532,2017/07/16,in the late afternoon,22,\"Olivia, Piper, Layla, Rylee\"\ne25533,2017/07/16,during lunch hours,53,\"Olivia, Nevaeh, Avery\"\ne25534,2017/07/16,in the morning,18,\"Avery, Nevaeh\"\ne25535,2017/07/16,in the late afternoon,11,\"Layla, Piper, Eva\"\ne25542,2017/07/17,late in the evening,17,Nevaeh\ne25543,2017/07/17,in the late afternoon,24,\"Kinsley, Piper\"\ne25544,2017/07/17,late in the evening,17,\"Rylee, Piper, Nevaeh, Layla\"\ne25551,2017/07/18,in the late afternoon,30,\"Kinsley, Lydia\"\ne25552,2017/07/18,in the early evening,27,\"Piper, Eva\"\ne25559,2017/07/19,late in the evening,42,\"Piper, Olivia, Piper, Claire\"\ne25560,2017/07/19,during lunch hours,51,Eva\ne25561,2017/07/19,in the late afternoon,27,\"Hazel, Lydia, Kinsley\"\ne25568,2017/07/20,during lunch hours,33,\"Piper, Lydia, Eva, Olivia\"\ne25569,2017/07/20,in the late afternoon,37,\"Avery, Kinsley, Rylee, Lydia\"\ne25570,2017/07/20,during lunch hours,51,\"Claire, Rylee, Eva, Nora\"\ne25576,2017/07/21,during lunch hours,25,Eva\ne25577,2017/07/21,in the early evening,19,\"Avery, Rylee, Olivia\"\ne25578,2017/07/21,in the morning,48,\"Piper, Lydia\"\ne25585,2017/07/22,late in the evening,42,\"Rylee, Eva, Nevaeh\"\ne25586,2017/07/22,in the morning,21,\"Eva, Rylee, Olivia, Lydia\"\ne25593,2017/07/23,late in the evening,53,\"Piper, Piper, Hazel\"\ne25594,2017/07/23,in the morning,49,\"Lydia, Nevaeh, Piper, Piper\"\ne25595,2017/07/23,in the early evening,42,Piper\ne25602,2017/07/24,in the morning,16,\"Lydia, Piper\"\ne25603,2017/07/24,in the early evening,41,\"Lydia, Nora, Hazel\"\ne25604,2017/07/24,in the late afternoon,35,Olivia\ne25611,2017/07/25,in the early evening,41,\"Kinsley, Layla, Hazel\"\ne25612,2017/07/25,in the early afternoon,40,\"Piper, Rylee\"\ne25613,2017/07/25,late in the evening,20,\"Claire, Rylee, Olivia, Nora\"\ne25620,2017/07/26,in the early afternoon,7,\"Kinsley, Nevaeh\"\ne25621,2017/07/26,during lunch hours,30,\"Lydia, Hazel, Claire\"\ne25628,2017/07/27,during lunch hours,21,Lydia\ne25629,2017/07/27,in the morning,42,Layla\ne25630,2017/07/27,in the early afternoon,53,Kinsley\ne25637,2017/07/28,in the early evening,33,\"Claire, Hazel\"\ne25638,2017/07/28,during lunch hours,25,\"Kinsley, Claire, Piper\"\ne25639,2017/07/28,late in the evening,48,\"Kinsley, Claire\"\ne25640,2017/07/28,in the early afternoon,38,\"Nevaeh, Piper, Avery\"\ne25647,2017/07/29,in the late afternoon,15,\"Eva, Kinsley\"\ne25648,2017/07/29,in the late afternoon,34,\"Piper, Olivia\"\ne25649,2017/07/29,in the late afternoon,16,Piper\ne25656,2017/07/30,in the morning,45,\"Hazel, Kinsley, Avery, Lydia\"\ne25657,2017/07/30,late in the evening,28,Eva\ne25658,2017/07/30,during lunch hours,46,Piper\ne25659,2017/07/30,during lunch hours,13,\"Olivia, Piper, Hazel, Avery\"\ne25666,2017/07/31,during lunch hours,17,\"Nevaeh, Layla, Rylee, Piper\"\ne25667,2017/07/31,in the late afternoon,41,\"Lydia, Kinsley, Nora\"\ne25668,2017/07/31,late in the evening,51,\"Nevaeh, Piper, Kinsley, Rylee\"\ne25675,2017/08/01,in the late afternoon,33,\"Claire, Piper\"\ne25676,2017/08/01,in the early afternoon,21,\"Hazel, Lydia, Nora, Claire\"\ne25677,2017/08/01,late in the evening,45,\"Piper, Hazel\"\ne25678,2017/08/01,in the late afternoon,28,\"Kinsley, Claire, Nora\"\ne25685,2017/08/02,in the early evening,36,\"Olivia, Hazel\"\ne25686,2017/08/02,late in the evening,37,\"Hazel, Piper\"\ne25693,2017/08/03,in the morning,30,\"Eva, Hazel, Claire\"\ne25694,2017/08/03,in the morning,6,\"Lydia, Kinsley, Piper\"\ne25695,2017/08/03,in the early afternoon,55,\"Nevaeh, Nora, Avery\"\ne25702,2017/08/04,late in the evening,36,Avery\ne25703,2017/08/04,in the morning,13,Layla\ne25710,2017/08/05,in the early afternoon,31,\"Avery, Nevaeh, Claire\"\ne25711,2017/08/05,during lunch hours,38,\"Olivia, Layla\"\ne25712,2017/08/05,in the early afternoon,30,\"Kinsley, Claire, Lydia\"\ne25713,2017/08/05,in the early evening,20,\"Hazel, Rylee\"\ne25720,2017/08/06,in the early afternoon,18,\"Lydia, Piper\"\ne25721,2017/08/06,in the morning,28,\"Layla, Nora, Olivia, Lydia\"\ne25722,2017/08/06,in the early evening,52,\"Avery, Eva, Layla, Claire\"\ne25729,2017/08/07,during lunch hours,15,\"Rylee, Piper, Eva, Hazel\"\ne25730,2017/08/07,in the early evening,20,Layla\ne25731,2017/08/07,in the early afternoon,25,\"Layla, Kinsley, Eva\"\ne25732,2017/08/07,in the early evening,37,\"Kinsley, Layla, Rylee\"\ne25739,2017/08/08,late in the evening,10,\"Rylee, Olivia\"\ne25740,2017/08/08,during lunch hours,53,\"Hazel, Piper, Lydia, Layla\"\ne25747,2017/08/09,in the morning,11,\"Piper, Rylee\"\ne25748,2017/08/09,in the late afternoon,53,\"Olivia, Hazel, Rylee, Claire\"\ne25749,2017/08/09,in the late afternoon,15,\"Layla, Avery, Rylee\"\ne25756,2017/08/10,during lunch hours,28,Piper\ne25757,2017/08/10,during lunch hours,52,Piper\ne25758,2017/08/10,in the early evening,53,\"Eva, Piper\"\ne25765,2017/08/11,in the early afternoon,50,\"Hazel, Piper, Nevaeh\"\ne25766,2017/08/11,during lunch hours,15,\"Piper, Olivia\"\ne25767,2017/08/11,in the early afternoon,16,\"Avery, Nora\"\ne25768,2017/08/11,in the late afternoon,50,\"Layla, Lydia, Kinsley\"\ne25775,2017/08/12,during lunch hours,53,\"Piper, Hazel, Olivia, Nora\"\ne25776,2017/08/12,late in the evening,23,Avery\ne25777,2017/08/12,late in the evening,49,\"Olivia, Piper, Nora\"\ne25784,2017/08/13,in the early evening,43,Olivia\ne25785,2017/08/13,in the early afternoon,30,\"Kinsley, Nevaeh, Piper, Piper\"\ne25792,2017/08/14,in the morning,10,\"Eva, Piper, Kinsley\"\ne25793,2017/08/14,in the early afternoon,41,\"Eva, Piper\"\ne25794,2017/08/14,in the morning,12,\"Claire, Olivia, Lydia, Nora\"\ne25801,2017/08/15,during lunch hours,36,\"Claire, Nora, Nevaeh, Rylee\"\ne25802,2017/08/15,in the morning,12,\"Olivia, Layla, Piper\"\ne25809,2017/08/16,in the early evening,31,\"Piper, Olivia, Rylee, Eva\"\ne25810,2017/08/16,late in the evening,25,\"Piper, Rylee, Piper\"\ne25811,2017/08/16,in the morning,45,\"Olivia, Hazel, Rylee, Claire\"\ne25818,2017/08/17,in the early evening,6,\"Hazel, Kinsley, Avery, Nevaeh\"\ne25819,2017/08/17,in the early afternoon,43,\"Rylee, Piper, Kinsley, Nevaeh\"\ne25826,2017/08/18,during lunch hours,20,\"Lydia, Avery, Piper, Nevaeh\"\ne25827,2017/08/18,in the early evening,27,Olivia\ne25828,2017/08/18,late in the evening,27,\"Kinsley, Lydia, Piper\"\ne25835,2017/08/19,in the late afternoon,17,Eva\ne25836,2017/08/19,in the early evening,49,\"Kinsley, Claire, Piper, Hazel\"\ne25837,2017/08/19,in the early afternoon,48,\"Olivia, Layla\"\ne25838,2017/08/19,late in the evening,19,\"Eva, Kinsley, Nora, Piper\"\ne25845,2017/08/20,in the morning,26,\"Piper, Claire, Rylee\"\ne25846,2017/08/20,in the morning,38,Nora\ne25847,2017/08/20,late in the evening,47,\"Piper, Hazel, Nora\"\ne25854,2017/08/21,in the early evening,25,Lydia\ne25855,2017/08/21,late in the evening,36,\"Piper, Nevaeh, Claire\"\ne25856,2017/08/21,during lunch hours,18,\"Rylee, Nevaeh\"\ne25863,2017/08/22,in the early evening,37,\"Piper, Layla, Kinsley, Nevaeh\"\ne25864,2017/08/22,in the early evening,23,\"Nora, Hazel, Claire\"\ne25871,2017/08/23,in the early evening,20,Eva\ne25872,2017/08/23,in the morning,44,\"Nora, Lydia, Eva, Hazel\"\ne25873,2017/08/23,in the late afternoon,8,Lydia\ne25874,2017/08/23,late in the evening,26,\"Piper, Lydia, Avery, Kinsley\"\ne25881,2017/08/24,in the late afternoon,53,\"Layla, Avery, Piper, Kinsley\"\ne25882,2017/08/24,in the morning,54,\"Nora, Rylee, Layla, Eva\"\ne25883,2017/08/24,in the morning,38,\"Olivia, Hazel\"\ne25890,2017/08/25,late in the evening,53,\"Claire, Nora\"\ne25891,2017/08/25,late in the evening,42,Nevaeh\ne25898,2017/08/26,late in the evening,9,\"Olivia, Claire, Eva\"\ne25899,2017/08/26,late in the evening,48,\"Hazel, Rylee\"\ne25906,2017/08/27,late in the evening,12,\"Layla, Olivia\"\ne25907,2017/08/27,in the morning,55,\"Nora, Eva\"\ne25914,2017/08/28,in the late afternoon,16,\"Lydia, Eva, Piper\"\ne25915,2017/08/28,late in the evening,32,Rylee\ne25916,2017/08/28,in the early afternoon,16,Rylee\ne25923,2017/08/29,in the early afternoon,11,Rylee\ne25924,2017/08/29,in the late afternoon,34,Nora\ne25925,2017/08/29,late in the evening,7,\"Rylee, Nevaeh, Nora, Eva\"\ne25932,2017/08/30,in the early afternoon,26,\"Avery, Nora, Rylee\"\ne25933,2017/08/30,during lunch hours,45,\"Kinsley, Layla, Hazel, Eva\"\ne25934,2017/08/30,in the late afternoon,31,Lydia\ne25941,2017/08/31,in the early evening,54,\"Nevaeh, Piper, Lydia\"\ne25942,2017/08/31,late in the evening,26,\"Nevaeh, Layla, Hazel, Nora\"\ne25948,2017/09/01,in the morning,29,\"Hazel, Piper, Avery\"\ne25949,2017/09/01,in the late afternoon,8,\"Nora, Olivia, Rylee\"\ne25950,2017/09/01,in the morning,20,\"Avery, Rylee\"\ne25951,2017/09/01,in the morning,50,Eva\ne25957,2017/09/02,during lunch hours,8,\"Eva, Kinsley, Hazel\"\ne25958,2017/09/02,in the early evening,38,\"Lydia, Nora, Olivia, Hazel\"\ne25959,2017/09/02,late in the evening,45,Nora\ne25960,2017/09/02,late in the evening,50,\"Lydia, Olivia, Nora\"\ne25967,2017/09/03,during lunch hours,51,\"Olivia, Piper\"\ne25968,2017/09/03,in the late afternoon,20,\"Piper, Hazel, Olivia\"\ne25969,2017/09/03,in the late afternoon,28,\"Rylee, Olivia, Hazel, Piper\"\ne25976,2017/09/04,during lunch hours,10,Claire\ne25977,2017/09/04,in the late afternoon,7,\"Layla, Eva, Hazel\"\ne25978,2017/09/04,late in the evening,53,Eva\ne25985,2017/09/05,in the morning,50,\"Rylee, Piper, Layla, Lydia\"\ne25986,2017/09/05,in the early afternoon,24,Layla\ne25987,2017/09/05,in the early afternoon,14,\"Lydia, Nora, Avery, Claire\"\ne25994,2017/09/06,late in the evening,11,\"Layla, Piper, Nevaeh, Piper\"\ne25995,2017/09/06,in the late afternoon,9,\"Rylee, Hazel, Piper\"\ne26002,2017/09/07,in the early afternoon,30,\"Nevaeh, Piper, Layla\"\ne26003,2017/09/07,in the morning,49,Hazel\ne26004,2017/09/07,during lunch hours,38,\"Rylee, Hazel\"\ne26011,2017/09/08,late in the evening,41,\"Nevaeh, Piper, Lydia, Olivia\"\ne26012,2017/09/08,in the morning,39,\"Rylee, Layla\"\ne26013,2017/09/08,late in the evening,14,Nora\ne26020,2017/09/09,during lunch hours,26,\"Avery, Lydia\"\ne26021,2017/09/09,in the early evening,37,\"Olivia, Piper, Eva, Layla\"\ne26022,2017/09/09,in the morning,10,Piper\ne26028,2017/09/10,in the early evening,31,\"Avery, Rylee, Kinsley, Hazel\"\ne26029,2017/09/10,during lunch hours,47,Nevaeh\ne26036,2017/09/11,in the early afternoon,40,Layla\ne26037,2017/09/11,late in the evening,27,Nevaeh\ne26038,2017/09/11,late in the evening,48,\"Claire, Nevaeh, Hazel\"\ne26045,2017/09/12,in the early evening,32,\"Piper, Piper\"\ne26052,2017/09/13,in the early afternoon,35,\"Layla, Eva, Hazel\"\ne26053,2017/09/13,in the late afternoon,47,\"Lydia, Kinsley, Nevaeh\"\ne26054,2017/09/13,in the late afternoon,26,Claire\ne26061,2017/09/14,in the early afternoon,5,\"Claire, Lydia, Nevaeh\"\ne26062,2017/09/14,in the early afternoon,19,\"Piper, Claire, Eva, Olivia\"\ne26063,2017/09/14,in the late afternoon,27,\"Rylee, Piper, Nora, Kinsley\"\ne26070,2017/09/15,in the early evening,30,Rylee\ne26071,2017/09/15,in the late afternoon,49,\"Kinsley, Layla, Olivia, Eva\"\ne26072,2017/09/15,during lunch hours,30,Hazel\ne26079,2017/09/16,in the late afternoon,40,\"Avery, Claire\"\ne26080,2017/09/16,in the early evening,13,Piper\ne26081,2017/09/16,in the early afternoon,5,\"Kinsley, Lydia\"\ne26082,2017/09/16,in the late afternoon,47,\"Piper, Layla\"\ne26089,2017/09/17,during lunch hours,15,\"Layla, Piper\"\ne26090,2017/09/17,in the late afternoon,7,\"Layla, Rylee, Piper, Olivia\"\ne26091,2017/09/17,during lunch hours,37,\"Piper, Nevaeh, Hazel\"\ne26098,2017/09/18,in the late afternoon,43,Hazel\ne26099,2017/09/18,in the late afternoon,28,\"Rylee, Eva\"\ne26106,2017/09/19,late in the evening,48,\"Piper, Rylee, Lydia, Claire\"\ne26113,2017/09/20,in the early afternoon,22,\"Piper, Hazel, Claire\"\ne26114,2017/09/20,in the early evening,37,\"Claire, Eva, Rylee\"\ne26115,2017/09/20,in the late afternoon,38,Nora\ne26122,2017/09/21,in the late afternoon,12,Rylee\ne26123,2017/09/21,late in the evening,52,\"Piper, Lydia, Layla, Piper\"\ne26124,2017/09/21,late in the evening,37,\"Hazel, Rylee, Layla\"\ne26131,2017/09/22,in the morning,51,\"Layla, Kinsley, Rylee, Claire\"\ne26132,2017/09/22,in the early afternoon,40,\"Avery, Olivia, Eva, Kinsley\"\ne26133,2017/09/22,in the late afternoon,26,Avery\ne26134,2017/09/22,in the late afternoon,51,\"Avery, Piper, Kinsley, Rylee\"\ne26141,2017/09/23,late in the evening,49,Nora\ne26142,2017/09/23,in the late afternoon,37,\"Claire, Piper, Hazel, Piper\"\ne26143,2017/09/23,during lunch hours,11,Eva\ne26144,2017/09/23,in the morning,9,Lydia\ne26151,2017/09/24,late in the evening,53,\"Piper, Nora, Avery, Hazel\"\ne26152,2017/09/24,late in the evening,33,\"Rylee, Hazel, Piper, Claire\"\ne26159,2017/09/25,in the morning,35,\"Olivia, Nora, Kinsley\"\ne26160,2017/09/25,late in the evening,6,\"Avery, Nora, Hazel\"\ne26161,2017/09/25,in the late afternoon,52,\"Layla, Nevaeh, Eva, Rylee\"\ne26162,2017/09/25,in the early evening,35,\"Piper, Lydia\"\ne26169,2017/09/26,in the morning,31,\"Nora, Nevaeh, Piper\"\ne26170,2017/09/26,in the morning,39,\"Avery, Nora, Piper\"\ne26177,2017/09/27,in the late afternoon,47,\"Nora, Olivia, Piper\"\ne26178,2017/09/27,in the late afternoon,11,\"Hazel, Avery\"\ne26184,2017/09/28,in the late afternoon,46,\"Claire, Kinsley, Layla\"\ne26185,2017/09/28,during lunch hours,30,\"Hazel, Nora, Piper\"\ne26186,2017/09/28,late in the evening,19,\"Piper, Hazel, Piper\"\ne26193,2017/09/29,in the morning,29,\"Avery, Layla\"\ne26194,2017/09/29,during lunch hours,45,\"Hazel, Lydia, Olivia, Eva\"\ne26195,2017/09/29,in the late afternoon,23,Layla\ne26202,2017/09/30,late in the evening,49,\"Rylee, Piper\"\ne26203,2017/09/30,during lunch hours,30,\"Claire, Layla, Lydia, Kinsley\"\ne26204,2017/09/30,in the early afternoon,13,Lydia\ne26205,2017/09/30,in the early afternoon,24,\"Olivia, Piper\"\ne26212,2017/10/01,in the early evening,32,Claire\ne26219,2017/10/02,during lunch hours,39,Layla\ne26220,2017/10/02,in the early evening,23,\"Olivia, Nevaeh\"\ne26227,2017/10/03,in the late afternoon,44,\"Nevaeh, Lydia, Piper, Claire\"\ne26228,2017/10/03,in the morning,7,\"Kinsley, Piper, Piper\"\ne26229,2017/10/03,in the early afternoon,51,Piper\ne26230,2017/10/03,in the early evening,13,\"Piper, Layla, Olivia, Lydia\"\ne26237,2017/10/04,in the early evening,6,\"Claire, Piper, Nora, Olivia\"\ne26238,2017/10/04,late in the evening,28,\"Nora, Piper, Rylee, Hazel\"\ne26239,2017/10/04,in the early evening,35,Piper\ne26240,2017/10/04,in the early afternoon,19,Layla\ne26247,2017/10/05,in the early afternoon,18,\"Lydia, Eva, Rylee\"\ne26248,2017/10/05,in the morning,24,\"Rylee, Avery, Claire\"\ne26249,2017/10/05,in the morning,24,Piper\ne26250,2017/10/05,late in the evening,47,Olivia\ne26257,2017/10/06,late in the evening,20,Rylee\ne26258,2017/10/06,late in the evening,43,\"Claire, Avery, Nora\"\ne26265,2017/10/07,during lunch hours,52,Avery\ne26266,2017/10/07,in the early evening,26,\"Hazel, Piper, Layla, Avery\"\ne26267,2017/10/07,late in the evening,37,\"Hazel, Piper\"\ne26274,2017/10/08,during lunch hours,38,\"Piper, Avery, Nora, Piper\"\ne26275,2017/10/08,in the late afternoon,40,\"Claire, Rylee, Eva\"\ne26276,2017/10/08,in the early evening,26,\"Layla, Claire, Rylee\"\ne26283,2017/10/09,in the early afternoon,54,Rylee\ne26284,2017/10/09,in the early afternoon,29,Kinsley\ne26285,2017/10/09,in the early afternoon,34,\"Nora, Piper, Hazel\"\ne26292,2017/10/10,late in the evening,11,\"Rylee, Layla, Olivia, Kinsley\"\ne26293,2017/10/10,in the late afternoon,36,Olivia\ne26294,2017/10/10,in the early evening,51,\"Kinsley, Claire, Layla\"\ne26295,2017/10/10,in the late afternoon,18,Piper\ne26302,2017/10/11,in the early afternoon,23,\"Olivia, Piper, Kinsley, Layla\"\ne26303,2017/10/11,in the late afternoon,32,Lydia\ne26304,2017/10/11,late in the evening,51,Claire\ne26311,2017/10/12,in the early afternoon,50,\"Kinsley, Layla, Nevaeh\"\ne26312,2017/10/12,late in the evening,30,Nora\ne26313,2017/10/12,in the early evening,21,\"Hazel, Claire\"\ne26314,2017/10/12,in the morning,32,\"Olivia, Kinsley, Eva, Avery\"\ne26321,2017/10/13,in the late afternoon,17,Lydia\ne26322,2017/10/13,late in the evening,48,\"Lydia, Piper, Kinsley, Avery\"\ne26323,2017/10/13,late in the evening,6,\"Rylee, Piper, Kinsley, Nevaeh\"\ne26324,2017/10/13,during lunch hours,5,\"Layla, Nora, Kinsley\"\ne26330,2017/10/14,in the morning,34,\"Hazel, Kinsley, Piper, Olivia\"\ne26337,2017/10/15,in the early evening,34,\"Layla, Rylee\"\ne26338,2017/10/15,in the early evening,34,\"Nora, Nevaeh, Piper, Rylee\"\ne26339,2017/10/15,in the late afternoon,36,\"Eva, Kinsley, Hazel, Rylee\"\ne26346,2017/10/16,late in the evening,25,Layla\ne26347,2017/10/16,in the early afternoon,49,\"Nora, Olivia, Nevaeh\"\ne26353,2017/10/17,in the early evening,26,\"Eva, Rylee, Piper, Olivia\"\ne26354,2017/10/17,in the early afternoon,46,Piper\ne26361,2017/10/18,during lunch hours,9,Layla\ne26362,2017/10/18,late in the evening,9,\"Avery, Eva\"\ne26363,2017/10/18,late in the evening,41,\"Hazel, Piper, Claire, Nora\"\ne26370,2017/10/19,during lunch hours,41,\"Piper, Avery\"\ne26371,2017/10/19,in the late afternoon,43,\"Kinsley, Nora, Piper\"\ne26378,2017/10/20,in the early afternoon,43,Claire\ne26379,2017/10/20,in the early afternoon,43,Nora\ne26380,2017/10/20,in the early evening,40,\"Kinsley, Piper, Olivia\"\ne26387,2017/10/21,during lunch hours,11,Kinsley\ne26388,2017/10/21,in the early evening,38,Olivia\ne26389,2017/10/21,in the early evening,10,Olivia\ne26390,2017/10/21,in the early afternoon,24,Hazel\ne26397,2017/10/22,in the late afternoon,52,Piper\ne26398,2017/10/22,in the early evening,38,\"Claire, Olivia, Rylee\"\ne26399,2017/10/22,in the morning,25,\"Avery, Lydia\"\ne26400,2017/10/22,in the early afternoon,46,\"Piper, Olivia, Claire\"\ne26407,2017/10/23,in the early afternoon,29,\"Lydia, Nevaeh, Hazel, Piper\"\ne26408,2017/10/23,in the late afternoon,35,Piper\ne26409,2017/10/23,in the early afternoon,53,Lydia\ne26410,2017/10/23,in the early evening,9,\"Piper, Kinsley\"\ne26416,2017/10/24,during lunch hours,5,\"Olivia, Rylee\"\ne26417,2017/10/24,late in the evening,51,Piper\ne26418,2017/10/24,in the early evening,52,\"Claire, Nora, Hazel, Layla\"\ne26424,2017/10/25,during lunch hours,51,Piper\ne26425,2017/10/25,in the late afternoon,15,\"Kinsley, Claire, Nora, Lydia\"\ne26432,2017/10/26,in the early afternoon,37,\"Hazel, Layla, Claire\"\ne26433,2017/10/26,in the morning,22,Hazel\ne26434,2017/10/26,in the early evening,54,\"Eva, Rylee\"\ne26441,2017/10/27,in the late afternoon,23,\"Lydia, Olivia, Nora, Eva\"\ne26442,2017/10/27,in the early evening,9,\"Avery, Claire\"\ne26443,2017/10/27,in the late afternoon,34,\"Claire, Avery, Nevaeh, Piper\"\ne26450,2017/10/28,in the early afternoon,27,\"Nevaeh, Piper\"\ne26451,2017/10/28,in the early afternoon,39,\"Hazel, Nevaeh, Piper, Layla\"\ne26452,2017/10/28,in the morning,53,\"Avery, Piper, Olivia\"\ne26459,2017/10/29,in the early afternoon,37,\"Nora, Avery, Eva\"\ne26460,2017/10/29,in the late afternoon,25,Piper\ne26461,2017/10/29,during lunch hours,41,\"Nevaeh, Hazel, Eva\"\ne26468,2017/10/30,late in the evening,28,\"Nevaeh, Lydia, Rylee\"\ne26469,2017/10/30,late in the evening,19,\"Avery, Piper\"\ne26470,2017/10/30,in the morning,18,\"Avery, Claire, Rylee\"\ne26477,2017/10/31,late in the evening,36,\"Olivia, Avery\"\ne26478,2017/10/31,late in the evening,53,Lydia\ne26485,2017/11/01,in the morning,22,\"Eva, Kinsley, Piper, Lydia\"\ne26486,2017/11/01,late in the evening,22,Eva\ne26487,2017/11/01,in the early evening,12,\"Rylee, Kinsley\"\ne26488,2017/11/01,late in the evening,45,\"Olivia, Piper\"\ne26495,2017/11/02,in the early evening,7,\"Avery, Claire\"\ne26496,2017/11/02,in the early evening,47,\"Rylee, Layla, Claire, Nora\"\ne26497,2017/11/02,during lunch hours,48,\"Layla, Piper, Nora\"\ne26504,2017/11/03,in the late afternoon,19,\"Olivia, Hazel, Piper, Eva\"\ne26505,2017/11/03,late in the evening,54,\"Olivia, Layla, Eva\"\ne26506,2017/11/03,in the early evening,40,Nora\ne26513,2017/11/04,in the early afternoon,49,\"Lydia, Layla, Avery, Hazel\"\ne26514,2017/11/04,in the early evening,37,\"Kinsley, Eva, Claire, Olivia\"\ne26521,2017/11/05,during lunch hours,49,Nevaeh\ne26522,2017/11/05,in the morning,21,Nora\ne26523,2017/11/05,in the early afternoon,40,Olivia\ne26530,2017/11/06,in the early afternoon,46,\"Olivia, Lydia\"\ne26537,2017/11/07,in the early afternoon,47,\"Olivia, Kinsley\"\ne26538,2017/11/07,in the morning,54,\"Olivia, Nora, Lydia, Hazel\"\ne26539,2017/11/07,late in the evening,13,\"Nevaeh, Lydia, Claire, Kinsley\"\ne26546,2017/11/08,in the late afternoon,9,\"Olivia, Rylee, Claire\"\ne26547,2017/11/08,in the early afternoon,5,\"Lydia, Piper, Rylee, Olivia\"\ne26548,2017/11/08,in the late afternoon,33,\"Hazel, Avery, Claire, Piper\"\ne26549,2017/11/08,during lunch hours,42,\"Claire, Nora\"\ne26556,2017/11/09,in the early evening,27,Layla\ne26557,2017/11/09,late in the evening,55,\"Layla, Olivia\"\ne26558,2017/11/09,late in the evening,31,\"Nora, Layla, Eva, Kinsley\"\ne26565,2017/11/10,late in the evening,13,\"Lydia, Hazel, Olivia, Piper\"\ne26566,2017/11/10,in the late afternoon,9,\"Eva, Hazel, Avery, Piper\"\ne26567,2017/11/10,in the morning,21,\"Nora, Hazel, Lydia\"\ne26568,2017/11/10,in the early evening,28,\"Lydia, Eva, Kinsley\"\ne26574,2017/11/11,in the early afternoon,17,\"Nora, Layla, Claire\"\ne26575,2017/11/11,in the late afternoon,21,\"Eva, Claire\"\ne26576,2017/11/11,in the late afternoon,47,\"Layla, Kinsley, Rylee, Nevaeh\"\ne26583,2017/11/12,in the morning,24,\"Piper, Lydia, Claire, Hazel\"\ne26584,2017/11/12,in the early afternoon,19,\"Hazel, Lydia\"\ne26591,2017/11/13,during lunch hours,18,\"Nora, Eva, Olivia\"\ne26592,2017/11/13,in the early afternoon,50,\"Lydia, Olivia\"\ne26593,2017/11/13,in the late afternoon,6,\"Kinsley, Nora\"\ne26600,2017/11/14,in the early afternoon,37,\"Nora, Eva, Kinsley, Avery\"\ne26601,2017/11/14,in the late afternoon,38,\"Layla, Kinsley\"\ne26602,2017/11/14,late in the evening,16,\"Piper, Olivia, Rylee\"\ne26609,2017/11/15,late in the evening,31,\"Hazel, Piper, Nora\"\ne26610,2017/11/15,in the late afternoon,29,\"Nora, Kinsley, Eva\"\ne26611,2017/11/15,late in the evening,55,Piper\ne26618,2017/11/16,late in the evening,35,\"Nora, Nevaeh, Avery, Olivia\"\ne26625,2017/11/17,late in the evening,48,Eva\ne26626,2017/11/17,during lunch hours,40,\"Rylee, Claire, Kinsley\"\ne26627,2017/11/17,in the early evening,21,\"Lydia, Piper\"\ne26633,2017/11/18,in the morning,17,\"Layla, Claire, Hazel, Piper\"\ne26634,2017/11/18,in the late afternoon,55,Layla\ne26640,2017/11/19,in the late afternoon,12,Nevaeh\ne26641,2017/11/19,in the early evening,6,\"Nora, Lydia, Piper, Claire\"\ne26642,2017/11/19,in the late afternoon,5,\"Eva, Kinsley\"\ne26648,2017/11/20,in the early afternoon,48,Nevaeh\ne26649,2017/11/20,late in the evening,11,\"Eva, Claire, Avery\"\ne26655,2017/11/21,in the late afternoon,48,\"Rylee, Piper, Claire, Piper\"\ne26656,2017/11/21,in the late afternoon,14,\"Claire, Eva, Nevaeh\"\ne26657,2017/11/21,in the early afternoon,40,\"Claire, Piper, Olivia\"\ne26663,2017/11/22,in the early evening,29,Claire\ne26664,2017/11/22,in the early afternoon,24,\"Nora, Piper, Lydia\"\ne26665,2017/11/22,late in the evening,46,\"Avery, Eva\"\ne26672,2017/11/23,during lunch hours,16,Eva\ne26673,2017/11/23,late in the evening,22,Rylee\ne26674,2017/11/23,in the early evening,49,\"Hazel, Rylee, Nora\"\ne26681,2017/11/24,in the morning,43,\"Piper, Eva\"\ne26682,2017/11/24,in the morning,30,Rylee\ne26689,2017/11/25,in the morning,55,Rylee\ne26690,2017/11/25,during lunch hours,44,\"Olivia, Eva\"\ne26691,2017/11/25,in the early evening,44,\"Rylee, Avery, Olivia\"\ne26698,2017/11/26,in the morning,29,\"Layla, Hazel, Piper, Rylee\"\ne26699,2017/11/26,in the early afternoon,25,\"Rylee, Hazel, Piper, Nevaeh\"\ne26700,2017/11/26,in the early afternoon,7,\"Avery, Lydia\"\ne26701,2017/11/26,in the late afternoon,12,Kinsley\ne26708,2017/11/27,in the early afternoon,14,\"Claire, Kinsley\"\ne26709,2017/11/27,in the early afternoon,23,\"Hazel, Rylee, Nora, Lydia\"\ne26716,2017/11/28,in the late afternoon,21,Claire\ne26717,2017/11/28,in the morning,11,\"Olivia, Layla\"\ne26718,2017/11/28,in the late afternoon,10,\"Avery, Lydia\"\ne26725,2017/11/29,late in the evening,29,\"Nora, Rylee\"\ne26726,2017/11/29,in the morning,55,\"Piper, Nora, Lydia\"\ne26727,2017/11/29,late in the evening,16,Lydia\ne26734,2017/11/30,late in the evening,6,\"Olivia, Rylee, Layla, Kinsley\"\ne26735,2017/11/30,in the early afternoon,8,\"Avery, Nora\"\ne26736,2017/11/30,late in the evening,26,\"Nevaeh, Avery, Layla\"\ne26743,2017/12/01,during lunch hours,48,\"Kinsley, Avery\"\ne26744,2017/12/01,in the early afternoon,17,Nevaeh\ne26745,2017/12/01,late in the evening,54,\"Olivia, Piper\"\ne26752,2017/12/02,during lunch hours,44,\"Piper, Piper\"\ne26753,2017/12/02,in the early evening,25,\"Avery, Eva, Piper, Nevaeh\"\ne26754,2017/12/02,in the early evening,22,\"Lydia, Nevaeh, Claire, Hazel\"\ne26761,2017/12/03,during lunch hours,31,\"Avery, Kinsley, Lydia, Eva\"\ne26762,2017/12/03,in the morning,25,\"Piper, Rylee\"\ne26763,2017/12/03,in the early afternoon,39,\"Lydia, Piper, Hazel\"\ne26770,2017/12/04,in the early evening,34,Nora\ne26771,2017/12/04,in the late afternoon,19,Nevaeh\ne26778,2017/12/05,during lunch hours,29,Avery\ne26779,2017/12/05,in the late afternoon,43,\"Hazel, Piper, Nevaeh\"\ne26780,2017/12/05,in the morning,47,\"Piper, Claire, Nevaeh\"\ne26781,2017/12/05,in the morning,50,\"Nora, Avery, Claire\"\ne26788,2017/12/06,in the early evening,52,Layla\ne26789,2017/12/06,in the early evening,53,\"Nevaeh, Eva\"\ne26796,2017/12/07,late in the evening,41,\"Piper, Rylee, Nevaeh\"\ne26797,2017/12/07,in the morning,43,\"Nora, Layla\"\ne26798,2017/12/07,in the early afternoon,44,\"Kinsley, Hazel, Eva\"\ne26805,2017/12/08,during lunch hours,39,\"Hazel, Piper, Kinsley\"\ne26806,2017/12/08,in the early evening,11,\"Nora, Rylee, Kinsley\"\ne26807,2017/12/08,in the early afternoon,46,Layla\ne26814,2017/12/09,in the late afternoon,7,\"Olivia, Eva\"\ne26815,2017/12/09,in the late afternoon,41,\"Nora, Eva, Layla\"\ne26816,2017/12/09,late in the evening,18,\"Kinsley, Avery, Nora, Lydia\"\ne26823,2017/12/10,in the early evening,6,\"Layla, Eva, Avery, Hazel\"\ne26824,2017/12/10,in the early evening,10,\"Avery, Rylee, Nevaeh\"\ne26831,2017/12/11,in the early afternoon,17,Hazel\ne26832,2017/12/11,in the late afternoon,47,\"Olivia, Piper, Rylee\"\ne26833,2017/12/11,in the morning,15,\"Hazel, Avery, Rylee\"\ne26840,2017/12/12,late in the evening,38,Piper\ne26841,2017/12/12,in the early evening,13,\"Nora, Olivia\"\ne26842,2017/12/12,in the morning,21,\"Piper, Lydia\"\ne26849,2017/12/13,in the morning,33,\"Piper, Eva, Avery, Nora\"\ne26856,2017/12/14,in the early evening,42,Rylee\ne26857,2017/12/14,late in the evening,51,\"Piper, Hazel, Claire, Avery\"\ne26864,2017/12/15,during lunch hours,9,Piper\ne26865,2017/12/15,in the early evening,17,Rylee\ne26866,2017/12/15,in the morning,10,Layla\ne26873,2017/12/16,in the morning,25,\"Kinsley, Layla, Nora, Piper\"\ne26874,2017/12/16,late in the evening,36,\"Kinsley, Piper\"\ne26881,2017/12/17,during lunch hours,28,\"Avery, Piper, Nevaeh, Piper\"\ne26882,2017/12/17,in the morning,28,\"Rylee, Eva, Piper, Nevaeh\"\ne26889,2017/12/18,in the late afternoon,53,\"Avery, Nevaeh, Kinsley\"\ne26890,2017/12/18,in the early afternoon,18,\"Layla, Avery, Piper, Eva\"\ne26891,2017/12/18,in the morning,39,\"Avery, Nevaeh\"\ne26892,2017/12/18,in the early afternoon,34,\"Kinsley, Piper\"\ne26898,2017/12/19,in the morning,40,Piper\ne26899,2017/12/19,in the early evening,43,\"Piper, Olivia\"\ne26900,2017/12/19,late in the evening,40,Claire\ne26907,2017/12/20,late in the evening,15,\"Layla, Avery\"\ne26908,2017/12/20,during lunch hours,16,\"Piper, Nevaeh, Nora, Lydia\"\ne26909,2017/12/20,in the early evening,26,\"Olivia, Lydia, Piper, Rylee\"\ne26916,2017/12/21,in the early evening,11,\"Piper, Olivia\"\ne26917,2017/12/21,in the late afternoon,27,\"Claire, Avery, Kinsley, Olivia\"\ne26924,2017/12/22,in the morning,9,Olivia\ne26925,2017/12/22,in the early evening,16,\"Eva, Piper\"\ne26926,2017/12/22,in the early evening,42,\"Eva, Nora, Olivia, Piper\"\ne26933,2017/12/23,in the early evening,22,\"Piper, Eva\"\ne26934,2017/12/23,in the late afternoon,30,\"Nevaeh, Rylee\"\ne26941,2017/12/24,in the morning,7,\"Layla, Piper\"\ne26942,2017/12/24,in the late afternoon,27,\"Claire, Layla\"\ne26943,2017/12/24,in the early afternoon,7,\"Avery, Olivia, Piper\"\ne26944,2017/12/24,during lunch hours,15,\"Avery, Nevaeh\"\ne26951,2017/12/25,in the late afternoon,31,\"Nevaeh, Lydia, Hazel\"\ne26952,2017/12/25,in the morning,12,\"Avery, Nora, Layla, Piper\"\ne26953,2017/12/25,during lunch hours,19,\"Nevaeh, Rylee, Kinsley\"\ne26960,2017/12/26,in the late afternoon,17,\"Rylee, Hazel\"\ne26961,2017/12/26,late in the evening,49,Nora\ne26968,2017/12/27,in the late afternoon,10,Lydia\ne26975,2017/12/28,in the morning,5,\"Kinsley, Lydia, Eva\"\ne26976,2017/12/28,in the early evening,54,Eva\ne26977,2017/12/28,in the morning,15,\"Avery, Piper, Olivia\"\ne26983,2017/12/29,during lunch hours,51,\"Layla, Eva, Piper\"\ne26984,2017/12/29,during lunch hours,14,\"Nevaeh, Claire\"\ne26985,2017/12/29,in the early evening,43,\"Kinsley, Nora, Eva, Rylee\"\ne26992,2017/12/30,in the early evening,42,Kinsley\ne26993,2017/12/30,late in the evening,34,\"Piper, Layla, Hazel\"\ne26994,2017/12/30,late in the evening,17,\"Piper, Nevaeh, Lydia\"\ne27001,2017/12/31,in the early afternoon,13,\"Kinsley, Hazel, Nora, Layla\"\ne27002,2017/12/31,in the early afternoon,48,\"Lydia, Rylee\"\ne27212,2018/01/01,in the late afternoon,28,\"Eva, Piper, Piper, Lydia\"\ne27213,2018/01/01,during lunch hours,13,\"Olivia, Eva\"\ne27214,2018/01/01,in the late afternoon,26,\"Piper, Kinsley\"\ne27221,2018/01/02,during lunch hours,6,Kinsley\ne27222,2018/01/02,in the early afternoon,31,\"Olivia, Nora, Eva, Layla\"\ne27223,2018/01/02,in the early afternoon,27,\"Eva, Nora\"\ne27224,2018/01/02,in the morning,44,\"Layla, Lydia\"\ne27231,2018/01/03,in the early afternoon,36,\"Eva, Hazel\"\ne27232,2018/01/03,during lunch hours,19,\"Olivia, Eva, Claire\"\ne27233,2018/01/03,in the early afternoon,45,\"Piper, Avery, Rylee\"\ne27239,2018/01/04,in the early evening,9,\"Nevaeh, Hazel, Eva, Piper\"\ne27240,2018/01/04,in the early afternoon,17,\"Olivia, Nevaeh, Eva, Piper\"\ne27241,2018/01/04,in the late afternoon,55,\"Lydia, Olivia, Kinsley\"\ne27248,2018/01/05,during lunch hours,23,Avery\ne27249,2018/01/05,in the early evening,48,\"Avery, Hazel, Eva\"\ne27250,2018/01/05,in the early evening,55,\"Eva, Claire\"\ne27257,2018/01/06,in the early afternoon,16,\"Piper, Olivia, Claire\"\ne27258,2018/01/06,late in the evening,12,\"Piper, Lydia\"\ne27259,2018/01/06,in the early evening,23,\"Hazel, Eva\"\ne27265,2018/01/07,in the late afternoon,51,\"Piper, Piper, Olivia, Claire\"\ne27266,2018/01/07,late in the evening,26,\"Claire, Piper, Eva, Lydia\"\ne27267,2018/01/07,late in the evening,38,\"Nora, Olivia\"\ne27274,2018/01/08,during lunch hours,50,Lydia\ne27275,2018/01/08,in the early evening,53,\"Hazel, Rylee, Piper, Olivia\"\ne27276,2018/01/08,in the early evening,36,\"Nora, Lydia, Hazel, Claire\"\ne27283,2018/01/09,during lunch hours,16,\"Hazel, Piper, Eva\"\ne27284,2018/01/09,in the early afternoon,13,Nevaeh\ne27291,2018/01/10,during lunch hours,21,\"Piper, Layla, Rylee\"\ne27292,2018/01/10,in the late afternoon,31,\"Claire, Nevaeh\"\ne27299,2018/01/11,late in the evening,55,\"Eva, Hazel\"\ne27300,2018/01/11,in the late afternoon,53,Hazel\ne27301,2018/01/11,in the late afternoon,7,\"Piper, Rylee, Kinsley, Lydia\"\ne27308,2018/01/12,during lunch hours,38,\"Nora, Kinsley, Piper\"\ne27315,2018/01/13,in the late afternoon,41,Nora\ne27316,2018/01/13,in the late afternoon,36,Nora\ne27317,2018/01/13,in the early afternoon,16,Nora\ne27318,2018/01/13,in the morning,8,\"Olivia, Nevaeh, Nora\"\ne27325,2018/01/14,in the early evening,14,\"Piper, Lydia, Kinsley, Claire\"\ne27326,2018/01/14,in the morning,30,Eva\ne27333,2018/01/15,late in the evening,17,\"Piper, Rylee, Piper, Nevaeh\"\ne27334,2018/01/15,late in the evening,42,\"Nevaeh, Nora, Rylee\"\ne27335,2018/01/15,late in the evening,34,\"Avery, Eva, Piper, Piper\"\ne27342,2018/01/16,in the late afternoon,23,\"Avery, Eva\"\ne27343,2018/01/16,in the late afternoon,27,Hazel\ne27344,2018/01/16,in the early evening,42,\"Hazel, Claire\"\ne27351,2018/01/17,in the early afternoon,35,\"Nevaeh, Olivia, Hazel, Claire\"\ne27352,2018/01/17,in the early evening,40,\"Layla, Olivia\"\ne27353,2018/01/17,in the morning,34,\"Nora, Lydia, Layla, Rylee\"\ne27354,2018/01/17,during lunch hours,12,\"Olivia, Piper, Nevaeh\"\ne27360,2018/01/18,during lunch hours,16,\"Eva, Piper, Avery\"\ne27361,2018/01/18,in the morning,8,\"Piper, Nora, Hazel\"\ne27362,2018/01/18,during lunch hours,37,\"Layla, Kinsley\"\ne27369,2018/01/19,late in the evening,23,\"Olivia, Piper, Layla, Lydia\"\ne27370,2018/01/19,in the late afternoon,50,\"Piper, Olivia, Rylee\"\ne27371,2018/01/19,in the morning,30,\"Piper, Olivia, Lydia, Avery\"\ne27372,2018/01/19,in the early afternoon,33,\"Claire, Olivia\"\ne27379,2018/01/20,during lunch hours,51,Olivia\ne27380,2018/01/20,late in the evening,51,\"Piper, Claire\"\ne27381,2018/01/20,in the morning,13,Lydia\ne27388,2018/01/21,late in the evening,11,\"Avery, Piper, Olivia, Hazel\"\ne27389,2018/01/21,in the early afternoon,46,\"Nora, Kinsley, Lydia, Piper\"\ne27396,2018/01/22,in the late afternoon,22,\"Lydia, Piper, Olivia\"\ne27397,2018/01/22,in the early afternoon,25,Claire\ne27398,2018/01/22,late in the evening,40,Piper\ne27399,2018/01/22,in the early evening,52,\"Hazel, Avery, Eva, Rylee\"\ne27406,2018/01/23,in the early afternoon,23,\"Piper, Kinsley\"\ne27407,2018/01/23,in the morning,52,\"Hazel, Kinsley\"\ne27408,2018/01/23,in the early afternoon,29,\"Piper, Lydia, Olivia, Eva\"\ne27415,2018/01/24,in the early evening,9,\"Olivia, Nevaeh\"\ne27416,2018/01/24,during lunch hours,21,Piper\ne27417,2018/01/24,in the late afternoon,10,\"Lydia, Layla, Claire\"\ne27424,2018/01/25,in the early evening,50,\"Eva, Rylee, Lydia, Piper\"\ne27425,2018/01/25,in the late afternoon,15,\"Rylee, Layla\"\ne27432,2018/01/26,late in the evening,39,\"Kinsley, Rylee, Piper\"\ne27433,2018/01/26,late in the evening,28,\"Piper, Lydia, Nevaeh, Nora\"\ne27434,2018/01/26,in the morning,14,\"Kinsley, Eva\"\ne27441,2018/01/27,during lunch hours,14,\"Eva, Lydia, Layla, Avery\"\ne27442,2018/01/27,in the late afternoon,32,\"Eva, Olivia, Nora, Claire\"\ne27449,2018/01/28,in the early evening,22,\"Avery, Rylee, Claire\"\ne27450,2018/01/28,late in the evening,33,\"Eva, Piper, Rylee, Avery\"\ne27451,2018/01/28,in the morning,50,\"Piper, Lydia, Olivia, Piper\"\ne27458,2018/01/29,in the early afternoon,28,Avery\ne27459,2018/01/29,in the late afternoon,30,Lydia\ne27460,2018/01/29,in the early evening,49,Layla\ne27461,2018/01/29,in the morning,45,\"Claire, Eva, Avery\"\ne27468,2018/01/30,in the late afternoon,13,\"Hazel, Lydia\"\ne27469,2018/01/30,in the morning,40,\"Kinsley, Olivia, Nora\"\ne27470,2018/01/30,late in the evening,29,\"Hazel, Nora\"\ne27477,2018/01/31,in the early evening,20,Rylee\ne27478,2018/01/31,late in the evening,55,\"Rylee, Nora, Claire, Avery\"\ne27485,2018/02/01,in the late afternoon,25,Hazel\ne27486,2018/02/01,in the morning,51,\"Hazel, Lydia, Kinsley, Nora\"\ne27487,2018/02/01,in the early evening,51,Nevaeh\ne27494,2018/02/02,during lunch hours,49,Piper\ne27495,2018/02/02,in the late afternoon,53,\"Nora, Piper, Hazel\"\ne27502,2018/02/03,in the early evening,37,\"Hazel, Olivia\"\ne27503,2018/02/03,in the late afternoon,18,Nora\ne27504,2018/02/03,in the late afternoon,20,Piper\ne27511,2018/02/04,in the early afternoon,42,\"Hazel, Lydia\"\ne27512,2018/02/04,in the early evening,11,\"Olivia, Kinsley, Avery, Nevaeh\"\ne27513,2018/02/04,late in the evening,11,\"Olivia, Lydia\"\ne27514,2018/02/04,late in the evening,44,\"Eva, Piper\"\ne27521,2018/02/05,in the late afternoon,40,\"Eva, Avery, Piper, Olivia\"\ne27522,2018/02/05,in the early evening,36,\"Hazel, Layla, Nora\"\ne27523,2018/02/05,in the early evening,12,\"Claire, Piper\"\ne27530,2018/02/06,in the early evening,11,\"Layla, Rylee, Piper\"\ne27531,2018/02/06,in the late afternoon,13,Piper\ne27532,2018/02/06,during lunch hours,55,\"Olivia, Nevaeh, Eva\"\ne27538,2018/02/07,during lunch hours,53,\"Rylee, Piper\"\ne27539,2018/02/07,in the early afternoon,19,\"Avery, Claire, Eva\"\ne27546,2018/02/08,in the early afternoon,5,\"Hazel, Rylee\"\ne27547,2018/02/08,late in the evening,18,\"Olivia, Hazel, Claire\"\ne27548,2018/02/08,in the early afternoon,28,\"Hazel, Nora, Piper, Olivia\"\ne27549,2018/02/08,in the early afternoon,27,\"Piper, Nevaeh\"\ne27556,2018/02/09,in the early evening,46,\"Nora, Eva\"\ne27557,2018/02/09,during lunch hours,29,Avery\ne27558,2018/02/09,in the early evening,47,\"Kinsley, Lydia\"\ne27565,2018/02/10,in the morning,46,Nevaeh\ne27566,2018/02/10,in the early evening,24,Lydia\ne27567,2018/02/10,in the late afternoon,18,Piper\ne27568,2018/02/10,in the early evening,33,\"Eva, Piper\"\ne27575,2018/02/11,in the early evening,7,\"Rylee, Olivia\"\ne27576,2018/02/11,in the early afternoon,18,\"Kinsley, Nevaeh, Eva, Piper\"\ne27582,2018/02/12,during lunch hours,29,Avery\ne27583,2018/02/12,in the morning,14,\"Piper, Lydia, Claire\"\ne27590,2018/02/13,in the morning,12,\"Olivia, Layla\"\ne27591,2018/02/13,in the early evening,10,\"Avery, Rylee\"\ne27592,2018/02/13,in the morning,17,Kinsley\ne27593,2018/02/13,in the early afternoon,8,\"Kinsley, Hazel\"\ne27600,2018/02/14,late in the evening,29,\"Lydia, Nevaeh, Piper\"\ne27601,2018/02/14,in the early evening,39,\"Avery, Kinsley, Hazel\"\ne27602,2018/02/14,late in the evening,9,Olivia\ne27609,2018/02/15,in the morning,17,Nora\ne27610,2018/02/15,in the late afternoon,14,\"Lydia, Nevaeh\"\ne27611,2018/02/15,in the late afternoon,33,Lydia\ne27612,2018/02/15,during lunch hours,35,Eva\ne27619,2018/02/16,in the late afternoon,12,\"Piper, Layla, Avery, Eva\"\ne27620,2018/02/16,late in the evening,49,\"Hazel, Eva\"\ne27626,2018/02/17,in the late afternoon,24,\"Hazel, Lydia, Rylee\"\ne27627,2018/02/17,in the early afternoon,51,\"Nevaeh, Avery\"\ne27628,2018/02/17,in the early afternoon,32,Eva\ne27635,2018/02/18,in the morning,32,Piper\ne27636,2018/02/18,late in the evening,21,\"Kinsley, Avery, Eva, Nora\"\ne27637,2018/02/18,late in the evening,13,\"Claire, Kinsley, Lydia, Nora\"\ne27644,2018/02/19,in the early evening,6,Piper\ne27645,2018/02/19,during lunch hours,29,\"Piper, Lydia, Nora, Eva\"\ne27646,2018/02/19,in the early afternoon,39,\"Eva, Olivia, Piper, Layla\"\ne27653,2018/02/20,late in the evening,38,\"Rylee, Layla, Avery\"\ne27654,2018/02/20,in the morning,6,\"Hazel, Layla, Piper, Nevaeh\"\ne27655,2018/02/20,in the late afternoon,7,\"Avery, Layla\"\ne27662,2018/02/21,during lunch hours,39,Lydia\ne27663,2018/02/21,in the late afternoon,38,\"Eva, Nevaeh, Avery\"\ne27669,2018/02/22,late in the evening,25,\"Olivia, Piper, Kinsley, Layla\"\ne27670,2018/02/22,in the late afternoon,53,Piper\ne27671,2018/02/22,in the late afternoon,27,\"Piper, Hazel\"\ne27678,2018/02/23,late in the evening,49,\"Piper, Lydia, Eva\"\ne27679,2018/02/23,in the morning,34,Lydia\ne27680,2018/02/23,in the early afternoon,15,\"Kinsley, Layla, Rylee\"\ne27687,2018/02/24,in the early evening,13,\"Nora, Hazel\"\ne27688,2018/02/24,in the early afternoon,8,\"Layla, Eva\"\ne27689,2018/02/24,in the early afternoon,36,Olivia\ne27696,2018/02/25,late in the evening,34,\"Piper, Eva\"\ne27697,2018/02/25,in the early afternoon,6,Hazel\ne27698,2018/02/25,in the late afternoon,12,\"Avery, Claire, Olivia\"\ne27705,2018/02/26,late in the evening,21,\"Lydia, Piper, Olivia, Layla\"\ne27706,2018/02/26,during lunch hours,32,Layla\ne27707,2018/02/26,in the early afternoon,37,Eva\ne27714,2018/02/27,in the early afternoon,6,Piper\ne27715,2018/02/27,in the late afternoon,19,\"Olivia, Claire, Rylee\"\ne27716,2018/02/27,in the late afternoon,11,\"Avery, Layla, Nora, Kinsley\"\ne27723,2018/02/28,in the early afternoon,55,\"Lydia, Hazel\"\ne27724,2018/02/28,in the late afternoon,17,\"Rylee, Olivia, Piper\"\ne27731,2018/03/01,in the early evening,18,\"Eva, Avery\"\ne27732,2018/03/01,in the late afternoon,18,Rylee\ne27739,2018/03/02,during lunch hours,23,Layla\ne27740,2018/03/02,in the early afternoon,54,\"Eva, Kinsley\"\ne27741,2018/03/02,in the early evening,40,\"Eva, Olivia, Nevaeh, Kinsley\"\ne27748,2018/03/03,in the early afternoon,52,\"Olivia, Piper, Hazel, Layla\"\ne27749,2018/03/03,in the morning,29,Olivia\ne27750,2018/03/03,during lunch hours,31,Nevaeh\ne27757,2018/03/04,in the morning,39,\"Rylee, Hazel, Lydia, Layla\"\ne27758,2018/03/04,during lunch hours,9,\"Rylee, Nevaeh\"\ne27759,2018/03/04,in the late afternoon,21,\"Piper, Claire, Eva, Avery\"\ne27766,2018/03/05,in the early afternoon,20,\"Eva, Rylee\"\ne27767,2018/03/05,in the early evening,47,\"Rylee, Nevaeh\"\ne27774,2018/03/06,in the early afternoon,47,\"Eva, Piper, Nevaeh, Avery\"\ne27775,2018/03/06,in the early evening,14,Piper\ne27776,2018/03/06,in the early evening,10,\"Hazel, Nevaeh, Piper, Layla\"\ne27783,2018/03/07,late in the evening,20,\"Piper, Lydia\"\ne27784,2018/03/07,in the early afternoon,22,Layla\ne27785,2018/03/07,in the early evening,52,\"Olivia, Nevaeh, Lydia\"\ne27786,2018/03/07,in the morning,9,Nora\ne27793,2018/03/08,in the late afternoon,35,\"Hazel, Kinsley, Piper\"\ne27794,2018/03/08,in the morning,15,\"Nevaeh, Piper\"\ne27795,2018/03/08,in the late afternoon,17,\"Nevaeh, Kinsley, Olivia, Piper\"\ne27802,2018/03/09,during lunch hours,21,Nevaeh\ne27803,2018/03/09,in the late afternoon,44,Olivia\ne27804,2018/03/09,late in the evening,7,\"Eva, Lydia, Nora, Avery\"\ne27805,2018/03/09,in the early afternoon,8,\"Claire, Nevaeh\"\ne27812,2018/03/10,late in the evening,39,Nevaeh\ne27813,2018/03/10,late in the evening,29,Olivia\ne27814,2018/03/10,in the late afternoon,53,Eva\ne27821,2018/03/11,late in the evening,22,\"Piper, Avery\"\ne27822,2018/03/11,in the early evening,34,\"Layla, Nevaeh\"\ne27829,2018/03/12,during lunch hours,26,Olivia\ne27830,2018/03/12,in the early afternoon,17,\"Nora, Lydia, Claire, Eva\"\ne27831,2018/03/12,in the early evening,12,\"Nora, Layla, Olivia, Avery\"\ne27832,2018/03/12,in the early evening,27,\"Nevaeh, Layla, Kinsley, Piper\"\ne27839,2018/03/13,in the late afternoon,30,\"Lydia, Avery\"\ne27840,2018/03/13,in the late afternoon,52,Claire\ne27841,2018/03/13,in the early afternoon,45,\"Claire, Nora, Kinsley\"\ne27842,2018/03/13,in the morning,42,\"Piper, Layla, Olivia, Hazel\"\ne27849,2018/03/14,in the early afternoon,13,\"Piper, Lydia, Avery, Hazel\"\ne27850,2018/03/14,in the late afternoon,35,\"Avery, Layla\"\ne27851,2018/03/14,during lunch hours,40,Kinsley\ne27858,2018/03/15,in the early evening,5,\"Piper, Lydia\"\ne27859,2018/03/15,during lunch hours,46,\"Nora, Olivia, Rylee, Piper\"\ne27866,2018/03/16,in the early evening,15,Olivia\ne27867,2018/03/16,in the early afternoon,36,Hazel\ne27873,2018/03/17,in the early evening,36,\"Piper, Hazel, Nevaeh\"\ne27874,2018/03/17,during lunch hours,27,\"Piper, Nora, Olivia\"\ne27881,2018/03/18,in the late afternoon,49,Nora\ne27882,2018/03/18,during lunch hours,49,\"Olivia, Piper, Rylee\"\ne27883,2018/03/18,in the morning,22,\"Hazel, Olivia, Eva, Nora\"\ne27890,2018/03/19,in the late afternoon,44,\"Rylee, Lydia, Nevaeh, Piper\"\ne27891,2018/03/19,in the early afternoon,15,\"Piper, Olivia, Rylee, Nora\"\ne27892,2018/03/19,in the early afternoon,41,\"Piper, Piper, Hazel, Rylee\"\ne27893,2018/03/19,during lunch hours,44,Olivia\ne27899,2018/03/20,during lunch hours,14,Avery\ne27900,2018/03/20,during lunch hours,38,Claire\ne27901,2018/03/20,late in the evening,28,Eva\ne27902,2018/03/20,in the morning,16,\"Layla, Olivia, Rylee, Kinsley\"\ne27908,2018/03/21,in the morning,34,Nevaeh\ne27909,2018/03/21,in the morning,32,\"Claire, Nevaeh, Lydia, Rylee\"\ne27910,2018/03/21,in the late afternoon,18,\"Eva, Hazel, Layla, Piper\"\ne27916,2018/03/22,in the morning,51,\"Piper, Lydia, Olivia\"\ne27917,2018/03/22,in the early evening,50,\"Piper, Rylee, Layla\"\ne27923,2018/03/23,in the morning,12,\"Piper, Avery\"\ne27924,2018/03/23,late in the evening,42,\"Nora, Rylee\"\ne27931,2018/03/24,in the early evening,48,\"Piper, Nora, Piper\"\ne27932,2018/03/24,in the morning,14,\"Nevaeh, Avery, Eva\"\ne27933,2018/03/24,in the morning,37,\"Nevaeh, Claire, Avery, Lydia\"\ne27939,2018/03/25,in the late afternoon,38,\"Piper, Olivia, Eva\"\ne27940,2018/03/25,late in the evening,9,\"Nevaeh, Kinsley\"\ne27941,2018/03/25,in the late afternoon,51,\"Avery, Eva, Lydia\"\ne27947,2018/03/26,late in the evening,5,\"Nora, Hazel\"\ne27948,2018/03/26,in the late afternoon,33,\"Piper, Layla\"\ne27949,2018/03/26,in the early afternoon,18,\"Hazel, Olivia, Piper, Nevaeh\"\ne27956,2018/03/27,in the late afternoon,45,\"Nora, Piper, Nevaeh\"\ne27957,2018/03/27,in the early afternoon,15,\"Rylee, Piper, Nevaeh\"\ne27964,2018/03/28,in the morning,32,Eva\ne27965,2018/03/28,in the late afternoon,35,\"Nevaeh, Kinsley, Hazel, Piper\"\ne27966,2018/03/28,in the late afternoon,50,\"Olivia, Piper, Layla\"\ne27973,2018/03/29,in the late afternoon,40,\"Avery, Hazel, Nevaeh\"\ne27974,2018/03/29,during lunch hours,14,Avery\ne27975,2018/03/29,in the morning,11,\"Piper, Piper, Nevaeh\"\ne27976,2018/03/29,late in the evening,49,\"Layla, Claire, Olivia\"\ne27983,2018/03/30,late in the evening,26,\"Nora, Avery, Rylee\"\ne27984,2018/03/30,late in the evening,11,Lydia\ne27991,2018/03/31,late in the evening,7,\"Hazel, Claire, Kinsley, Lydia\"\ne27992,2018/03/31,in the morning,41,\"Eva, Kinsley, Layla, Avery\"\ne27999,2018/04/01,late in the evening,7,Layla\ne28000,2018/04/01,late in the evening,44,\"Nevaeh, Piper, Layla, Avery\"\ne28001,2018/04/01,during lunch hours,9,\"Lydia, Rylee\"\ne28008,2018/04/02,in the early evening,37,Piper\ne28009,2018/04/02,in the late afternoon,30,\"Olivia, Piper, Nevaeh\"\ne28016,2018/04/03,late in the evening,51,\"Rylee, Kinsley, Lydia, Hazel\"\ne28017,2018/04/03,in the morning,14,\"Lydia, Nevaeh, Piper, Hazel\"\ne28018,2018/04/03,in the early afternoon,7,\"Rylee, Kinsley, Layla, Nevaeh\"\ne28025,2018/04/04,in the late afternoon,40,\"Layla, Piper, Claire\"\ne28026,2018/04/04,in the early evening,55,Rylee\ne28033,2018/04/05,late in the evening,23,Nora\ne28034,2018/04/05,during lunch hours,19,Kinsley\ne28041,2018/04/06,during lunch hours,14,\"Hazel, Claire, Olivia\"\ne28042,2018/04/06,late in the evening,11,\"Layla, Lydia, Claire, Eva\"\ne28049,2018/04/07,in the late afternoon,41,\"Hazel, Piper, Layla\"\ne28050,2018/04/07,in the early evening,25,\"Piper, Nora\"\ne28057,2018/04/08,late in the evening,26,\"Piper, Eva, Layla\"\ne28058,2018/04/08,in the late afternoon,52,\"Claire, Eva, Kinsley\"\ne28059,2018/04/08,in the late afternoon,24,\"Olivia, Nora, Piper\"\ne28066,2018/04/09,in the early evening,30,\"Hazel, Rylee, Piper\"\ne28067,2018/04/09,in the morning,40,\"Layla, Nora, Eva\"\ne28068,2018/04/09,late in the evening,35,\"Nevaeh, Eva, Nora\"\ne28075,2018/04/10,during lunch hours,12,\"Eva, Nora, Rylee\"\ne28076,2018/04/10,late in the evening,33,\"Eva, Claire\"\ne28083,2018/04/11,in the early evening,53,Piper\ne28084,2018/04/11,during lunch hours,49,\"Kinsley, Piper, Layla\"\ne28091,2018/04/12,in the late afternoon,53,Piper\ne28092,2018/04/12,in the early afternoon,53,\"Piper, Layla, Rylee\"\ne28093,2018/04/12,in the early evening,47,\"Olivia, Eva\"\ne28094,2018/04/12,late in the evening,44,\"Eva, Nevaeh, Claire, Avery\"\ne28101,2018/04/13,in the morning,42,\"Nora, Kinsley, Nevaeh, Piper\"\ne28102,2018/04/13,in the late afternoon,23,Eva\ne28103,2018/04/13,late in the evening,22,\"Nevaeh, Kinsley, Olivia, Lydia\"\ne28110,2018/04/14,in the morning,46,\"Piper, Avery, Eva, Nora\"\ne28111,2018/04/14,during lunch hours,12,\"Lydia, Piper, Piper\"\ne28112,2018/04/14,in the early afternoon,17,\"Claire, Piper\"\ne28119,2018/04/15,in the early afternoon,17,\"Claire, Rylee, Piper, Olivia\"\ne28120,2018/04/15,in the morning,35,Rylee\ne28121,2018/04/15,late in the evening,17,\"Olivia, Eva, Piper\"\ne28122,2018/04/15,during lunch hours,54,\"Piper, Olivia, Piper\"\ne28129,2018/04/16,in the morning,48,\"Piper, Nevaeh\"\ne28130,2018/04/16,in the early evening,8,\"Layla, Eva, Nora, Avery\"\ne28137,2018/04/17,in the late afternoon,21,\"Hazel, Claire, Olivia\"\ne28138,2018/04/17,during lunch hours,45,\"Eva, Claire, Nevaeh, Avery\"\ne28139,2018/04/17,in the morning,43,Rylee\ne28146,2018/04/18,in the early afternoon,5,\"Rylee, Kinsley, Avery, Hazel\"\ne28147,2018/04/18,in the late afternoon,19,\"Nora, Hazel\"\ne28154,2018/04/19,during lunch hours,15,Piper\ne28155,2018/04/19,in the early afternoon,38,Kinsley\ne28156,2018/04/19,in the morning,18,\"Nevaeh, Layla, Avery\"\ne28163,2018/04/20,in the early afternoon,10,\"Nevaeh, Hazel, Layla\"\ne28164,2018/04/20,late in the evening,16,\"Avery, Nevaeh, Rylee\"\ne28165,2018/04/20,during lunch hours,37,\"Rylee, Layla, Nevaeh, Lydia\"\ne28166,2018/04/20,in the late afternoon,55,\"Avery, Claire, Nevaeh, Eva\"\ne28173,2018/04/21,in the late afternoon,5,Rylee\ne28174,2018/04/21,in the late afternoon,17,\"Claire, Piper, Hazel, Kinsley\"\ne28175,2018/04/21,in the morning,5,\"Eva, Piper, Olivia\"\ne28181,2018/04/22,in the morning,35,Avery\ne28182,2018/04/22,in the late afternoon,40,Olivia\ne28189,2018/04/23,in the early afternoon,29,Nora\ne28190,2018/04/23,during lunch hours,35,\"Lydia, Kinsley, Hazel\"\ne28191,2018/04/23,late in the evening,44,\"Piper, Nora, Layla\"\ne28198,2018/04/24,in the early afternoon,36,\"Piper, Nevaeh, Piper\"\ne28199,2018/04/24,in the morning,30,\"Olivia, Avery, Kinsley\"\ne28200,2018/04/24,during lunch hours,44,\"Eva, Lydia, Rylee, Piper\"\ne28206,2018/04/25,in the early afternoon,20,\"Nevaeh, Hazel, Piper\"\ne28207,2018/04/25,in the early afternoon,10,\"Layla, Hazel, Kinsley\"\ne28208,2018/04/25,late in the evening,51,\"Claire, Nora, Olivia, Eva\"\ne28215,2018/04/26,in the early afternoon,55,\"Layla, Avery\"\ne28216,2018/04/26,in the late afternoon,25,\"Lydia, Rylee\"\ne28217,2018/04/26,in the early evening,17,Piper\ne28224,2018/04/27,in the early afternoon,35,Piper\ne28225,2018/04/27,during lunch hours,17,\"Eva, Piper, Claire\"\ne28226,2018/04/27,in the morning,18,\"Eva, Piper\"\ne28233,2018/04/28,in the morning,46,\"Nevaeh, Olivia, Eva, Piper\"\ne28234,2018/04/28,during lunch hours,39,\"Olivia, Piper, Layla, Avery\"\ne28235,2018/04/28,during lunch hours,30,\"Lydia, Piper\"\ne28242,2018/04/29,late in the evening,11,Hazel\ne28243,2018/04/29,in the late afternoon,53,\"Lydia, Rylee\"\ne28244,2018/04/29,in the early evening,13,\"Piper, Avery, Olivia\"\ne28250,2018/04/30,late in the evening,24,\"Piper, Nora\"\ne28251,2018/04/30,in the early afternoon,52,\"Piper, Nevaeh\"\ne28258,2018/05/01,in the early evening,26,\"Nevaeh, Eva, Nora, Piper\"\ne28259,2018/05/01,in the late afternoon,53,Layla\ne28260,2018/05/01,in the early afternoon,21,Lydia\ne28261,2018/05/01,in the morning,49,Piper\ne28268,2018/05/02,in the early afternoon,6,Nevaeh\ne28269,2018/05/02,in the morning,7,\"Nevaeh, Layla, Kinsley\"\ne28270,2018/05/02,in the morning,51,\"Claire, Hazel, Kinsley, Piper\"\ne28277,2018/05/03,in the late afternoon,14,\"Rylee, Eva, Lydia, Kinsley\"\ne28278,2018/05/03,in the late afternoon,12,\"Olivia, Lydia\"\ne28279,2018/05/03,in the early evening,15,\"Layla, Claire\"\ne28280,2018/05/03,in the morning,39,\"Olivia, Piper\"\ne28287,2018/05/04,during lunch hours,50,\"Avery, Kinsley, Claire, Eva\"\ne28288,2018/05/04,late in the evening,8,\"Nora, Lydia, Rylee\"\ne28295,2018/05/05,late in the evening,27,Lydia\ne28296,2018/05/05,in the early afternoon,11,\"Nevaeh, Olivia, Piper, Nora\"\ne28297,2018/05/05,in the late afternoon,39,Piper\ne28298,2018/05/05,in the early evening,5,\"Kinsley, Piper\"\ne28305,2018/05/06,in the early afternoon,31,\"Lydia, Olivia, Hazel\"\ne28312,2018/05/07,during lunch hours,6,Olivia\ne28313,2018/05/07,in the late afternoon,38,\"Rylee, Eva, Layla\"\ne28314,2018/05/07,late in the evening,45,Nevaeh\ne28315,2018/05/07,during lunch hours,54,\"Kinsley, Lydia, Nora, Nevaeh\"\ne28322,2018/05/08,late in the evening,20,Nevaeh\ne28323,2018/05/08,in the late afternoon,19,Olivia\ne28330,2018/05/09,in the morning,30,Claire\ne28331,2018/05/09,in the morning,52,\"Layla, Lydia\"\ne28332,2018/05/09,during lunch hours,54,\"Piper, Layla, Kinsley\"\ne28339,2018/05/10,in the morning,8,\"Piper, Avery, Olivia\"\ne28340,2018/05/10,in the morning,21,Piper\ne28341,2018/05/10,in the early evening,33,\"Eva, Nevaeh\"\ne28347,2018/05/11,in the morning,51,Hazel\ne28348,2018/05/11,late in the evening,36,\"Avery, Kinsley, Piper, Lydia\"\ne28349,2018/05/11,in the late afternoon,55,\"Nevaeh, Eva\"\ne28350,2018/05/11,late in the evening,23,\"Nevaeh, Rylee\"\ne28357,2018/05/12,late in the evening,19,\"Rylee, Eva\"\ne28358,2018/05/12,late in the evening,48,\"Nora, Hazel, Lydia, Rylee\"\ne28359,2018/05/12,in the early afternoon,36,Kinsley\ne28366,2018/05/13,in the early evening,36,\"Kinsley, Hazel, Piper\"\ne28367,2018/05/13,in the early evening,8,Piper\ne28374,2018/05/14,during lunch hours,36,\"Piper, Piper, Rylee, Eva\"\ne28375,2018/05/14,in the morning,44,\"Layla, Lydia, Kinsley, Hazel\"\ne28376,2018/05/14,in the late afternoon,24,\"Layla, Nora, Eva\"\ne28377,2018/05/14,in the early evening,53,Avery\ne28384,2018/05/15,in the early evening,51,Lydia\ne28385,2018/05/15,in the early afternoon,47,\"Claire, Lydia, Layla, Olivia\"\ne28386,2018/05/15,during lunch hours,21,\"Layla, Hazel, Lydia, Nora\"\ne28393,2018/05/16,in the early afternoon,48,\"Avery, Piper, Nora, Piper\"\ne28394,2018/05/16,during lunch hours,49,\"Kinsley, Avery\"\ne28395,2018/05/16,during lunch hours,35,\"Avery, Piper\"\ne28402,2018/05/17,in the morning,8,\"Claire, Lydia\"\ne28403,2018/05/17,in the morning,20,\"Avery, Rylee, Eva, Layla\"\ne28404,2018/05/17,during lunch hours,28,\"Layla, Lydia, Rylee\"\ne28411,2018/05/18,in the morning,39,\"Lydia, Piper\"\ne28412,2018/05/18,in the early afternoon,49,Piper\ne28413,2018/05/18,late in the evening,6,\"Avery, Eva\"\ne28414,2018/05/18,during lunch hours,29,\"Avery, Layla\"\ne28421,2018/05/19,in the morning,22,Piper\ne28422,2018/05/19,late in the evening,36,Eva\ne28423,2018/05/19,in the early afternoon,12,Layla\ne28424,2018/05/19,late in the evening,45,\"Avery, Kinsley\"\ne28431,2018/05/20,late in the evening,18,\"Kinsley, Layla, Hazel, Eva\"\ne28432,2018/05/20,in the early evening,12,\"Avery, Kinsley, Nora, Layla\"\ne28433,2018/05/20,in the morning,9,\"Hazel, Layla, Piper, Claire\"\ne28440,2018/05/21,late in the evening,41,\"Avery, Claire\"\ne28441,2018/05/21,late in the evening,21,\"Kinsley, Olivia, Nora, Nevaeh\"\ne28442,2018/05/21,during lunch hours,18,Hazel\ne28443,2018/05/21,in the morning,42,\"Claire, Lydia\"\ne28450,2018/05/22,during lunch hours,46,\"Olivia, Piper, Lydia\"\ne28451,2018/05/22,in the early afternoon,50,\"Layla, Rylee\"\ne28458,2018/05/23,late in the evening,14,Nora\ne28459,2018/05/23,late in the evening,53,Piper\ne28460,2018/05/23,in the late afternoon,51,\"Olivia, Claire, Piper, Eva\"\ne28467,2018/05/24,in the early afternoon,27,\"Nevaeh, Olivia, Avery\"\ne28468,2018/05/24,in the early evening,46,\"Eva, Nevaeh\"\ne28475,2018/05/25,during lunch hours,9,Nevaeh\ne28476,2018/05/25,during lunch hours,47,\"Piper, Piper\"\ne28477,2018/05/25,in the early evening,8,\"Piper, Nora\"\ne28483,2018/05/26,late in the evening,6,Nevaeh\ne28484,2018/05/26,in the early evening,36,\"Piper, Piper, Hazel\"\ne28485,2018/05/26,in the morning,51,Nevaeh\ne28492,2018/05/27,during lunch hours,44,Nora\ne28493,2018/05/27,in the early evening,17,Avery\ne28494,2018/05/27,in the early afternoon,9,\"Kinsley, Piper, Eva\"\ne28495,2018/05/27,in the early evening,45,Piper\ne28502,2018/05/28,in the early afternoon,41,\"Lydia, Eva\"\ne28503,2018/05/28,in the early evening,18,\"Hazel, Kinsley\"\ne28509,2018/05/29,in the late afternoon,9,Avery\ne28510,2018/05/29,in the early afternoon,35,\"Layla, Lydia\"\ne28511,2018/05/29,in the early afternoon,38,\"Hazel, Avery, Nora, Rylee\"\ne28512,2018/05/29,during lunch hours,17,Eva\ne28519,2018/05/30,in the morning,5,\"Layla, Hazel, Piper\"\ne28520,2018/05/30,in the early afternoon,34,\"Rylee, Layla, Nevaeh\"\ne28521,2018/05/30,in the morning,39,\"Claire, Nora\"\ne28528,2018/05/31,in the early evening,5,\"Claire, Kinsley, Nora, Piper\"\ne28529,2018/05/31,late in the evening,5,Avery\ne28530,2018/05/31,in the early evening,40,\"Avery, Hazel\"\ne28531,2018/05/31,in the late afternoon,12,\"Kinsley, Olivia\"\ne28538,2018/06/01,during lunch hours,28,\"Nora, Eva\"\ne28539,2018/06/01,during lunch hours,10,\"Piper, Nora, Piper\"\ne28540,2018/06/01,in the morning,35,\"Nevaeh, Nora\"\ne28541,2018/06/01,in the late afternoon,21,\"Claire, Lydia\"\ne28548,2018/06/02,in the early evening,22,\"Lydia, Kinsley\"\ne28549,2018/06/02,in the late afternoon,17,Olivia\ne28550,2018/06/02,late in the evening,32,\"Piper, Kinsley\"\ne28557,2018/06/03,during lunch hours,43,Lydia\ne28558,2018/06/03,late in the evening,51,Hazel\ne28565,2018/06/04,late in the evening,14,\"Hazel, Eva\"\ne28566,2018/06/04,in the early afternoon,11,Rylee\ne28567,2018/06/04,in the late afternoon,41,\"Piper, Piper\"\ne28574,2018/06/05,in the late afternoon,41,\"Piper, Nora, Piper, Hazel\"\ne28575,2018/06/05,in the early evening,27,Avery\ne28576,2018/06/05,during lunch hours,45,\"Hazel, Piper\"\ne28577,2018/06/05,in the early evening,49,\"Olivia, Kinsley, Nora\"\ne28584,2018/06/06,in the morning,16,\"Nevaeh, Olivia, Kinsley\"\ne28585,2018/06/06,in the early evening,34,Hazel\ne28586,2018/06/06,during lunch hours,19,Kinsley\ne28593,2018/06/07,in the early afternoon,50,\"Nevaeh, Avery\"\ne28594,2018/06/07,late in the evening,37,\"Nevaeh, Olivia, Piper, Claire\"\ne28601,2018/06/08,late in the evening,13,\"Kinsley, Piper, Avery\"\ne28602,2018/06/08,late in the evening,36,\"Layla, Olivia, Eva\"\ne28609,2018/06/09,in the early afternoon,23,\"Layla, Piper\"\ne28610,2018/06/09,late in the evening,26,\"Nevaeh, Eva\"\ne28611,2018/06/09,during lunch hours,52,\"Avery, Nevaeh\"\ne28612,2018/06/09,during lunch hours,48,\"Avery, Hazel, Rylee, Lydia\"\ne28619,2018/06/10,during lunch hours,48,Layla\ne28620,2018/06/10,late in the evening,29,\"Eva, Piper\"\ne28627,2018/06/11,late in the evening,49,\"Piper, Olivia, Lydia\"\ne28628,2018/06/11,late in the evening,12,\"Olivia, Lydia\"\ne28629,2018/06/11,late in the evening,37,\"Layla, Eva\"\ne28636,2018/06/12,in the early evening,33,\"Layla, Eva, Nora, Hazel\"\ne28637,2018/06/12,in the late afternoon,5,\"Olivia, Nevaeh, Layla, Hazel\"\ne28644,2018/06/13,in the early evening,40,Piper\ne28645,2018/06/13,in the late afternoon,45,\"Claire, Piper, Layla\"\ne28646,2018/06/13,late in the evening,39,Hazel\ne28653,2018/06/14,late in the evening,24,Nora\ne28654,2018/06/14,during lunch hours,37,\"Kinsley, Claire, Piper, Olivia\"\ne28655,2018/06/14,in the early evening,9,\"Rylee, Lydia, Piper\"\ne28661,2018/06/15,in the early evening,22,\"Eva, Lydia, Nora, Nevaeh\"\ne28668,2018/06/16,in the early afternoon,39,\"Lydia, Rylee, Nora, Claire\"\ne28669,2018/06/16,during lunch hours,11,\"Kinsley, Piper, Hazel, Rylee\"\ne28670,2018/06/16,in the morning,49,\"Nora, Kinsley\"\ne28677,2018/06/17,in the early afternoon,23,\"Hazel, Layla\"\ne28678,2018/06/17,late in the evening,10,Lydia\ne28685,2018/06/18,late in the evening,35,\"Kinsley, Nevaeh, Avery, Claire\"\ne28686,2018/06/18,during lunch hours,49,\"Piper, Nevaeh\"\ne28693,2018/06/19,in the early afternoon,14,\"Nora, Claire, Piper\"\ne28694,2018/06/19,in the early afternoon,13,\"Lydia, Avery, Rylee\"\ne28701,2018/06/20,in the late afternoon,31,\"Rylee, Hazel, Piper\"\ne28702,2018/06/20,in the early afternoon,8,Claire\ne28703,2018/06/20,during lunch hours,48,\"Eva, Piper, Rylee, Layla\"\ne28710,2018/06/21,in the late afternoon,23,\"Rylee, Lydia, Nevaeh, Piper\"\ne28711,2018/06/21,in the early evening,51,\"Hazel, Claire, Eva\"\ne28718,2018/06/22,in the early afternoon,10,Nora\ne28719,2018/06/22,in the early evening,29,\"Piper, Nevaeh, Piper, Nora\"\ne28726,2018/06/23,in the early evening,13,\"Claire, Olivia\"\ne28727,2018/06/23,during lunch hours,6,\"Claire, Piper, Lydia\"\ne28728,2018/06/23,during lunch hours,50,Avery\ne28735,2018/06/24,late in the evening,54,\"Eva, Rylee, Claire, Nevaeh\"\ne28742,2018/06/25,during lunch hours,7,Hazel\ne28743,2018/06/25,in the late afternoon,34,\"Claire, Layla\"\ne28744,2018/06/25,in the late afternoon,40,\"Piper, Olivia\"\ne28751,2018/06/26,late in the evening,20,\"Eva, Rylee, Piper, Kinsley\"\ne28752,2018/06/26,in the late afternoon,42,\"Layla, Nora\"\ne28753,2018/06/26,in the late afternoon,24,\"Lydia, Nora\"\ne28760,2018/06/27,in the morning,28,\"Hazel, Piper, Piper, Kinsley\"\ne28761,2018/06/27,in the early afternoon,23,Lydia\ne28762,2018/06/27,in the early afternoon,28,\"Nora, Kinsley, Olivia, Piper\"\ne28769,2018/06/28,in the early evening,25,\"Kinsley, Avery, Layla, Lydia\"\ne28770,2018/06/28,in the late afternoon,19,\"Olivia, Claire, Nevaeh, Piper\"\ne28771,2018/06/28,in the morning,23,\"Nora, Lydia, Kinsley\"\ne28778,2018/06/29,in the late afternoon,34,\"Rylee, Layla, Nevaeh, Lydia\"\ne28779,2018/06/29,in the early evening,53,Olivia\ne28780,2018/06/29,in the early afternoon,45,Claire\ne28787,2018/06/30,late in the evening,50,\"Olivia, Nora\"\ne28788,2018/06/30,in the morning,21,Piper\ne28789,2018/06/30,in the early evening,45,\"Avery, Kinsley\"\ne28796,2018/07/01,in the early evening,20,\"Nora, Kinsley, Eva, Olivia\"\ne28797,2018/07/01,in the morning,38,Nora\ne28804,2018/07/02,in the late afternoon,8,\"Hazel, Piper, Rylee, Nora\"\ne28805,2018/07/02,in the late afternoon,45,\"Rylee, Olivia, Piper, Layla\"\ne28806,2018/07/02,in the early afternoon,32,\"Olivia, Eva, Piper, Nevaeh\"\ne28813,2018/07/03,in the early evening,18,\"Avery, Eva, Olivia, Nora\"\ne28814,2018/07/03,in the early afternoon,13,Eva\ne28821,2018/07/04,in the morning,51,Claire\ne28822,2018/07/04,in the early evening,32,Claire\ne28823,2018/07/04,in the late afternoon,16,\"Lydia, Avery, Piper, Olivia\"\ne28830,2018/07/05,in the late afternoon,45,Lydia\ne28831,2018/07/05,during lunch hours,13,\"Piper, Rylee, Layla, Olivia\"\ne28832,2018/07/05,in the early evening,43,\"Kinsley, Eva, Piper\"\ne28833,2018/07/05,in the late afternoon,24,\"Avery, Olivia, Nevaeh\"\ne28839,2018/07/06,in the early evening,42,Nora\ne28840,2018/07/06,late in the evening,30,\"Avery, Rylee\"\ne28841,2018/07/06,in the early afternoon,54,\"Lydia, Nevaeh, Piper\"\ne28842,2018/07/06,in the morning,37,\"Hazel, Rylee, Lydia\"\ne28849,2018/07/07,in the early afternoon,19,\"Layla, Nora\"\ne28850,2018/07/07,late in the evening,44,\"Claire, Piper, Layla\"\ne28857,2018/07/08,in the late afternoon,55,\"Piper, Claire, Kinsley, Rylee\"\ne28858,2018/07/08,during lunch hours,44,\"Kinsley, Lydia\"\ne28859,2018/07/08,in the morning,26,\"Kinsley, Lydia, Olivia, Eva\"\ne28860,2018/07/08,in the early afternoon,35,\"Claire, Nora\"\ne28867,2018/07/09,in the early evening,21,\"Lydia, Rylee, Layla, Eva\"\ne28868,2018/07/09,in the late afternoon,50,\"Kinsley, Claire\"\ne28869,2018/07/09,during lunch hours,19,\"Olivia, Piper, Eva, Claire\"\ne28876,2018/07/10,in the late afternoon,39,\"Lydia, Olivia, Layla\"\ne28877,2018/07/10,in the early afternoon,5,\"Eva, Rylee, Lydia\"\ne28878,2018/07/10,in the late afternoon,44,\"Hazel, Lydia, Kinsley\"\ne28884,2018/07/11,late in the evening,52,\"Layla, Piper, Eva\"\ne28885,2018/07/11,late in the evening,16,Layla\ne28892,2018/07/12,in the late afternoon,43,\"Eva, Nora, Avery, Piper\"\ne28893,2018/07/12,in the early evening,47,\"Avery, Olivia\"\ne28894,2018/07/12,in the early afternoon,19,Rylee\ne28900,2018/07/13,in the early evening,46,\"Layla, Kinsley, Olivia, Nevaeh\"\ne28901,2018/07/13,during lunch hours,5,\"Nevaeh, Claire, Lydia\"\ne28902,2018/07/13,in the early evening,55,\"Nora, Rylee, Eva, Nevaeh\"\ne28903,2018/07/13,during lunch hours,31,\"Avery, Piper\"\ne28910,2018/07/14,in the morning,7,Eva\ne28911,2018/07/14,in the morning,25,Nevaeh\ne28912,2018/07/14,in the early evening,15,\"Piper, Olivia, Hazel\"\ne28918,2018/07/15,in the early evening,36,\"Lydia, Layla\"\ne28919,2018/07/15,in the morning,6,\"Kinsley, Hazel\"\ne28920,2018/07/15,late in the evening,13,\"Layla, Eva, Rylee, Nora\"\ne28927,2018/07/16,in the early afternoon,53,\"Lydia, Piper\"\ne28928,2018/07/16,during lunch hours,35,Layla\ne28929,2018/07/16,in the early afternoon,14,Nora\ne28935,2018/07/17,late in the evening,15,Piper\ne28936,2018/07/17,in the late afternoon,32,\"Kinsley, Claire, Hazel\"\ne28937,2018/07/17,in the late afternoon,30,\"Avery, Nevaeh, Nora, Piper\"\ne28944,2018/07/18,in the early afternoon,24,\"Avery, Rylee, Kinsley, Nevaeh\"\ne28945,2018/07/18,in the early afternoon,5,\"Layla, Claire, Piper, Nora\"\ne28946,2018/07/18,in the early afternoon,36,\"Layla, Piper, Lydia\"\ne28953,2018/07/19,in the early afternoon,26,Nevaeh\ne28954,2018/07/19,in the early evening,42,\"Nora, Piper, Avery\"\ne28955,2018/07/19,late in the evening,49,Avery\ne28962,2018/07/20,in the late afternoon,34,Eva\ne28963,2018/07/20,in the late afternoon,25,\"Layla, Piper\"\ne28970,2018/07/21,late in the evening,13,\"Lydia, Kinsley, Layla, Piper\"\ne28971,2018/07/21,in the morning,51,\"Avery, Hazel, Olivia\"\ne28972,2018/07/21,in the morning,8,\"Piper, Claire, Olivia, Layla\"\ne28979,2018/07/22,in the late afternoon,32,Avery\ne28980,2018/07/22,in the morning,23,\"Nora, Layla, Olivia, Lydia\"\ne28981,2018/07/22,late in the evening,34,\"Kinsley, Nevaeh, Hazel\"\ne28988,2018/07/23,late in the evening,10,\"Nora, Eva, Rylee\"\ne28989,2018/07/23,during lunch hours,21,\"Rylee, Olivia\"\ne28990,2018/07/23,in the late afternoon,12,\"Avery, Hazel, Olivia\"\ne28997,2018/07/24,during lunch hours,55,Eva\ne28998,2018/07/24,during lunch hours,7,\"Nevaeh, Kinsley, Piper\"\ne29005,2018/07/25,in the early evening,5,\"Eva, Claire, Nevaeh\"\ne29006,2018/07/25,late in the evening,55,\"Piper, Lydia\"\ne29007,2018/07/25,in the early afternoon,49,\"Claire, Rylee, Hazel, Piper\"\ne29014,2018/07/26,late in the evening,12,\"Hazel, Eva\"\ne29015,2018/07/26,late in the evening,7,Rylee\ne29016,2018/07/26,late in the evening,24,\"Eva, Avery, Nora, Hazel\"\ne29017,2018/07/26,in the early evening,22,\"Lydia, Layla\"\ne29024,2018/07/27,in the morning,52,\"Rylee, Piper\"\ne29025,2018/07/27,in the late afternoon,53,\"Piper, Nora, Hazel\"\ne29026,2018/07/27,during lunch hours,22,\"Olivia, Nevaeh, Kinsley, Lydia\"\ne29033,2018/07/28,in the early afternoon,37,\"Olivia, Rylee, Layla, Hazel\"\ne29034,2018/07/28,in the early evening,21,\"Claire, Piper, Lydia\"\ne29035,2018/07/28,late in the evening,20,\"Nevaeh, Rylee, Piper\"\ne29042,2018/07/29,in the early afternoon,22,\"Nevaeh, Avery\"\ne29043,2018/07/29,during lunch hours,25,Kinsley\ne29044,2018/07/29,in the early afternoon,25,\"Hazel, Nevaeh, Nora, Piper\"\ne29051,2018/07/30,late in the evening,48,\"Olivia, Hazel, Nevaeh\"\ne29052,2018/07/30,in the morning,30,\"Kinsley, Rylee, Hazel, Nevaeh\"\ne29053,2018/07/30,late in the evening,17,Nora\ne29054,2018/07/30,in the early evening,28,\"Piper, Nevaeh\"\ne29061,2018/07/31,in the early evening,41,\"Claire, Piper, Eva, Kinsley\"\ne29062,2018/07/31,in the late afternoon,52,\"Claire, Eva, Olivia, Kinsley\"\ne29063,2018/07/31,late in the evening,43,\"Nevaeh, Rylee, Lydia\"\ne29070,2018/08/01,late in the evening,32,Lydia\ne29071,2018/08/01,during lunch hours,47,\"Hazel, Piper, Piper, Nevaeh\"\ne29078,2018/08/02,late in the evening,22,\"Rylee, Kinsley\"\ne29079,2018/08/02,in the early afternoon,16,\"Rylee, Piper\"\ne29080,2018/08/02,in the late afternoon,20,Nora\ne29081,2018/08/02,late in the evening,6,\"Layla, Hazel\"\ne29088,2018/08/03,during lunch hours,33,\"Nevaeh, Claire, Kinsley\"\ne29089,2018/08/03,in the late afternoon,38,Rylee\ne29096,2018/08/04,in the late afternoon,25,\"Piper, Nora, Rylee, Layla\"\ne29097,2018/08/04,in the morning,6,Claire\ne29104,2018/08/05,in the morning,52,\"Eva, Kinsley, Layla, Nevaeh\"\ne29105,2018/08/05,in the late afternoon,35,Claire\ne29111,2018/08/06,in the late afternoon,42,\"Layla, Eva, Claire, Piper\"\ne29112,2018/08/06,late in the evening,45,Olivia\ne29113,2018/08/06,in the late afternoon,5,Avery\ne29114,2018/08/06,in the late afternoon,30,\"Nora, Olivia, Claire, Lydia\"\ne29121,2018/08/07,in the early afternoon,48,Layla\ne29122,2018/08/07,in the early evening,53,Nora\ne29129,2018/08/08,during lunch hours,33,\"Avery, Rylee\"\ne29130,2018/08/08,in the morning,39,\"Claire, Layla\"\ne29131,2018/08/08,during lunch hours,48,\"Avery, Piper\"\ne29137,2018/08/09,in the early evening,38,\"Piper, Rylee, Eva\"\ne29138,2018/08/09,in the early afternoon,14,\"Avery, Nora, Layla, Piper\"\ne29139,2018/08/09,in the early evening,19,\"Hazel, Avery, Claire, Piper\"\ne29146,2018/08/10,late in the evening,7,Rylee\ne29147,2018/08/10,in the early afternoon,19,\"Olivia, Kinsley, Hazel, Avery\"\ne29154,2018/08/11,during lunch hours,22,\"Hazel, Kinsley, Claire\"\ne29155,2018/08/11,in the early afternoon,27,Claire\ne29156,2018/08/11,in the late afternoon,45,\"Rylee, Eva\"\ne29163,2018/08/12,in the early afternoon,15,\"Nora, Rylee, Piper\"\ne29164,2018/08/12,in the early afternoon,16,Nora\ne29165,2018/08/12,in the early evening,25,\"Hazel, Claire, Rylee, Olivia\"\ne29172,2018/08/13,in the early afternoon,45,Eva\ne29173,2018/08/13,during lunch hours,7,\"Piper, Rylee\"\ne29174,2018/08/13,in the early evening,55,Layla\ne29175,2018/08/13,in the late afternoon,15,Claire\ne29182,2018/08/14,late in the evening,17,\"Kinsley, Rylee, Olivia\"\ne29183,2018/08/14,in the early afternoon,55,\"Hazel, Rylee\"\ne29190,2018/08/15,in the late afternoon,33,\"Olivia, Eva, Avery\"\ne29191,2018/08/15,during lunch hours,20,\"Hazel, Olivia, Claire, Layla\"\ne29192,2018/08/15,in the morning,24,\"Piper, Nora, Kinsley, Claire\"\ne29199,2018/08/16,late in the evening,12,Olivia\ne29200,2018/08/16,late in the evening,50,\"Lydia, Piper, Hazel, Rylee\"\ne29201,2018/08/16,in the late afternoon,28,Hazel\ne29208,2018/08/17,in the morning,19,\"Piper, Avery, Piper, Rylee\"\ne29209,2018/08/17,in the early evening,36,\"Lydia, Piper\"\ne29210,2018/08/17,in the early evening,19,\"Nora, Lydia, Olivia\"\ne29217,2018/08/18,in the early afternoon,43,\"Piper, Claire, Nora\"\ne29218,2018/08/18,in the late afternoon,46,\"Piper, Nevaeh, Hazel\"\ne29219,2018/08/18,in the early afternoon,18,\"Rylee, Avery, Nevaeh\"\ne29226,2018/08/19,late in the evening,13,\"Layla, Hazel, Piper\"\ne29227,2018/08/19,late in the evening,49,\"Eva, Layla, Nora\"\ne29228,2018/08/19,in the early afternoon,34,\"Lydia, Piper, Nevaeh, Piper\"\ne29229,2018/08/19,in the early afternoon,21,Rylee\ne29236,2018/08/20,in the early afternoon,15,\"Claire, Lydia\"\ne29237,2018/08/20,late in the evening,29,\"Rylee, Layla, Piper\"\ne29238,2018/08/20,in the early evening,28,\"Avery, Kinsley, Piper, Hazel\"\ne29245,2018/08/21,late in the evening,47,\"Avery, Olivia\"\ne29246,2018/08/21,in the early afternoon,30,\"Hazel, Olivia, Piper, Rylee\"\ne29247,2018/08/21,late in the evening,48,\"Eva, Layla, Olivia\"\ne29254,2018/08/22,during lunch hours,28,\"Lydia, Avery\"\ne29255,2018/08/22,during lunch hours,39,\"Nevaeh, Avery, Piper, Claire\"\ne29262,2018/08/23,in the late afternoon,39,\"Layla, Avery, Kinsley\"\ne29263,2018/08/23,in the early evening,9,\"Hazel, Rylee\"\ne29264,2018/08/23,in the morning,41,\"Kinsley, Piper, Avery\"\ne29265,2018/08/23,in the early afternoon,24,\"Layla, Avery, Hazel, Nora\"\ne29272,2018/08/24,in the late afternoon,14,Claire\ne29273,2018/08/24,late in the evening,54,\"Rylee, Hazel\"\ne29274,2018/08/24,in the late afternoon,6,\"Nevaeh, Layla, Lydia, Avery\"\ne29275,2018/08/24,in the early afternoon,41,\"Layla, Olivia, Nevaeh\"\ne29282,2018/08/25,in the early afternoon,28,\"Lydia, Claire, Avery\"\ne29283,2018/08/25,in the morning,6,\"Eva, Piper, Kinsley, Piper\"\ne29284,2018/08/25,late in the evening,42,\"Claire, Kinsley, Nora\"\ne29291,2018/08/26,in the morning,47,\"Rylee, Hazel, Kinsley, Avery\"\ne29292,2018/08/26,in the morning,33,\"Olivia, Piper, Eva\"\ne29293,2018/08/26,during lunch hours,21,\"Rylee, Nevaeh, Nora\"\ne29300,2018/08/27,in the early evening,45,\"Claire, Eva, Rylee, Piper\"\ne29301,2018/08/27,in the early evening,16,\"Layla, Claire, Avery\"\ne29308,2018/08/28,late in the evening,52,\"Nora, Eva\"\ne29309,2018/08/28,in the early afternoon,51,\"Eva, Claire, Avery\"\ne29310,2018/08/28,late in the evening,41,\"Claire, Piper, Lydia\"\ne29311,2018/08/28,in the late afternoon,21,Hazel\ne29318,2018/08/29,in the early evening,52,Nora\ne29319,2018/08/29,in the late afternoon,55,Piper\ne29320,2018/08/29,in the early afternoon,14,\"Kinsley, Claire, Nevaeh\"\ne29321,2018/08/29,in the late afternoon,50,\"Eva, Lydia\"\ne29328,2018/08/30,in the morning,53,\"Nevaeh, Claire\"\ne29329,2018/08/30,in the early afternoon,40,\"Hazel, Lydia, Eva, Rylee\"\ne29330,2018/08/30,in the late afternoon,12,\"Piper, Avery\"\ne29336,2018/08/31,in the morning,52,\"Rylee, Kinsley, Olivia\"\ne29337,2018/08/31,in the morning,13,\"Nora, Piper, Nevaeh\"\ne29338,2018/08/31,in the early afternoon,19,Nora\ne29345,2018/09/01,in the late afternoon,43,\"Avery, Rylee, Piper\"\ne29346,2018/09/01,in the late afternoon,25,\"Piper, Nevaeh\"\ne29347,2018/09/01,late in the evening,43,\"Olivia, Piper, Rylee\"\ne29348,2018/09/01,late in the evening,21,\"Piper, Nevaeh, Lydia, Claire\"\ne29355,2018/09/02,in the early evening,26,Nora\ne29356,2018/09/02,in the morning,35,\"Olivia, Nora, Eva\"\ne29357,2018/09/02,in the morning,45,Kinsley\ne29364,2018/09/03,during lunch hours,11,\"Hazel, Kinsley\"\ne29365,2018/09/03,in the late afternoon,39,\"Nevaeh, Avery, Kinsley, Eva\"\ne29366,2018/09/03,late in the evening,31,\"Piper, Kinsley, Lydia\"\ne29367,2018/09/03,in the morning,48,\"Nevaeh, Rylee\"\ne29374,2018/09/04,in the early evening,34,\"Olivia, Rylee, Layla\"\ne29375,2018/09/04,during lunch hours,17,\"Lydia, Hazel, Nevaeh\"\ne29376,2018/09/04,late in the evening,24,\"Piper, Piper, Olivia\"\ne29377,2018/09/04,in the early afternoon,11,Nevaeh\ne29384,2018/09/05,in the morning,21,\"Rylee, Eva, Avery, Layla\"\ne29391,2018/09/06,in the early evening,50,Kinsley\ne29392,2018/09/06,in the late afternoon,25,Nora\ne29393,2018/09/06,in the early evening,20,\"Rylee, Hazel, Olivia, Piper\"\ne29400,2018/09/07,in the late afternoon,11,\"Claire, Avery, Kinsley, Rylee\"\ne29401,2018/09/07,during lunch hours,52,Nora\ne29408,2018/09/08,late in the evening,23,\"Lydia, Nora\"\ne29409,2018/09/08,late in the evening,30,\"Olivia, Eva, Hazel, Nevaeh\"\ne29410,2018/09/08,in the early evening,42,\"Piper, Eva, Lydia, Nora\"\ne29417,2018/09/09,during lunch hours,54,Nevaeh\ne29418,2018/09/09,in the morning,54,Hazel\ne29419,2018/09/09,in the early evening,20,Hazel\ne29426,2018/09/10,during lunch hours,13,\"Olivia, Piper, Hazel, Lydia\"\ne29427,2018/09/10,in the late afternoon,37,\"Piper, Piper, Lydia\"\ne29434,2018/09/11,in the late afternoon,42,Nevaeh\ne29435,2018/09/11,in the late afternoon,34,\"Layla, Piper, Rylee\"\ne29436,2018/09/11,in the morning,31,\"Piper, Kinsley, Eva\"\ne29443,2018/09/12,in the morning,14,\"Piper, Kinsley, Piper\"\ne29444,2018/09/12,in the early evening,27,\"Eva, Kinsley, Claire, Nora\"\ne29445,2018/09/12,in the morning,41,\"Claire, Kinsley\"\ne29446,2018/09/12,in the late afternoon,8,\"Lydia, Piper\"\ne29453,2018/09/13,late in the evening,8,\"Nora, Nevaeh, Claire, Lydia\"\ne29454,2018/09/13,in the late afternoon,11,\"Layla, Lydia\"\ne29455,2018/09/13,in the early evening,7,\"Nevaeh, Hazel, Piper\"\ne29462,2018/09/14,late in the evening,19,\"Rylee, Kinsley, Layla\"\ne29463,2018/09/14,in the early evening,55,\"Claire, Kinsley, Avery\"\ne29464,2018/09/14,in the morning,11,\"Lydia, Piper, Layla, Kinsley\"\ne29470,2018/09/15,in the early evening,46,\"Rylee, Piper, Hazel\"\ne29471,2018/09/15,late in the evening,10,\"Kinsley, Nora, Lydia\"\ne29472,2018/09/15,in the early evening,55,\"Piper, Kinsley, Olivia, Claire\"\ne29479,2018/09/16,in the early evening,10,Layla\ne29480,2018/09/16,in the early evening,21,Nora\ne29486,2018/09/17,late in the evening,42,\"Lydia, Rylee\"\ne29487,2018/09/17,in the early afternoon,18,\"Lydia, Eva\"\ne29488,2018/09/17,in the morning,17,\"Piper, Kinsley, Claire, Lydia\"\ne29489,2018/09/17,in the early evening,25,Avery\ne29496,2018/09/18,in the late afternoon,27,\"Piper, Rylee, Hazel, Layla\"\ne29497,2018/09/18,in the early afternoon,24,Claire\ne29498,2018/09/18,in the early evening,26,Piper\ne29505,2018/09/19,in the morning,11,\"Layla, Piper, Avery, Piper\"\ne29506,2018/09/19,in the morning,21,\"Lydia, Layla, Nora\"\ne29507,2018/09/19,in the late afternoon,17,\"Hazel, Nevaeh, Piper\"\ne29513,2018/09/20,late in the evening,20,Eva\ne29514,2018/09/20,in the late afternoon,33,Avery\ne29521,2018/09/21,late in the evening,28,Kinsley\ne29522,2018/09/21,in the early afternoon,31,Olivia\ne29529,2018/09/22,during lunch hours,36,Lydia\ne29530,2018/09/22,during lunch hours,8,\"Hazel, Avery\"\ne29531,2018/09/22,late in the evening,9,\"Claire, Rylee\"\ne29538,2018/09/23,late in the evening,17,\"Nevaeh, Claire, Hazel, Olivia\"\ne29539,2018/09/23,in the late afternoon,35,\"Piper, Nora\"\ne29540,2018/09/23,in the morning,33,\"Kinsley, Olivia, Layla, Eva\"\ne29541,2018/09/23,in the early evening,37,Olivia\ne29548,2018/09/24,in the early evening,34,Hazel\ne29549,2018/09/24,during lunch hours,47,\"Hazel, Olivia, Lydia\"\ne29550,2018/09/24,in the morning,11,Eva\ne29557,2018/09/25,in the early evening,16,Claire\ne29558,2018/09/25,during lunch hours,45,\"Kinsley, Lydia\"\ne29559,2018/09/25,late in the evening,19,\"Eva, Layla, Hazel\"\ne29566,2018/09/26,late in the evening,7,Layla\ne29567,2018/09/26,late in the evening,35,Piper\ne29568,2018/09/26,late in the evening,51,\"Lydia, Kinsley\"\ne29569,2018/09/26,in the early afternoon,41,\"Nevaeh, Olivia, Rylee, Kinsley\"\ne29575,2018/09/27,in the early afternoon,12,\"Nora, Nevaeh, Eva, Claire\"\ne29576,2018/09/27,during lunch hours,41,Rylee\ne29577,2018/09/27,in the early afternoon,41,\"Lydia, Piper, Hazel\"\ne29584,2018/09/28,late in the evening,13,Rylee\ne29585,2018/09/28,during lunch hours,23,\"Lydia, Eva, Hazel\"\ne29586,2018/09/28,during lunch hours,6,\"Hazel, Piper, Avery, Olivia\"\ne29593,2018/09/29,in the early evening,47,\"Kinsley, Nevaeh, Olivia, Eva\"\ne29594,2018/09/29,during lunch hours,16,\"Avery, Kinsley, Nora\"\ne29595,2018/09/29,in the late afternoon,45,\"Avery, Eva, Claire, Nevaeh\"\ne29602,2018/09/30,during lunch hours,5,\"Eva, Avery, Kinsley\"\ne29603,2018/09/30,in the late afternoon,31,\"Olivia, Claire, Nora\"\ne29604,2018/09/30,in the early afternoon,13,Kinsley\ne29611,2018/10/01,during lunch hours,7,\"Claire, Rylee, Hazel, Avery\"\ne29612,2018/10/01,in the morning,49,\"Nevaeh, Olivia, Piper, Layla\"\ne29613,2018/10/01,in the late afternoon,20,\"Rylee, Piper\"\ne29620,2018/10/02,late in the evening,53,\"Kinsley, Piper\"\ne29621,2018/10/02,in the early evening,50,Olivia\ne29628,2018/10/03,late in the evening,33,\"Layla, Avery, Claire, Hazel\"\ne29629,2018/10/03,in the morning,42,Olivia\ne29636,2018/10/04,in the morning,46,\"Claire, Layla, Nora, Eva\"\ne29637,2018/10/04,in the early evening,36,\"Olivia, Lydia, Layla\"\ne29644,2018/10/05,in the late afternoon,28,\"Avery, Lydia, Layla, Rylee\"\ne29645,2018/10/05,during lunch hours,21,\"Nora, Lydia, Kinsley, Nevaeh\"\ne29652,2018/10/06,in the morning,14,\"Lydia, Claire, Avery, Layla\"\ne29653,2018/10/06,in the early evening,48,Layla\ne29654,2018/10/06,late in the evening,53,\"Hazel, Kinsley\"\ne29661,2018/10/07,during lunch hours,16,\"Nevaeh, Kinsley, Piper, Eva\"\ne29662,2018/10/07,in the early evening,44,\"Piper, Rylee, Piper, Hazel\"\ne29669,2018/10/08,in the late afternoon,12,\"Piper, Olivia\"\ne29670,2018/10/08,in the early afternoon,9,\"Eva, Olivia\"\ne29671,2018/10/08,in the early evening,26,\"Claire, Avery, Nora\"\ne29678,2018/10/09,in the late afternoon,14,\"Lydia, Olivia, Piper, Hazel\"\ne29679,2018/10/09,during lunch hours,22,\"Piper, Piper, Lydia, Nora\"\ne29680,2018/10/09,late in the evening,32,Eva\ne29687,2018/10/10,in the early evening,20,\"Piper, Avery, Layla, Nora\"\ne29688,2018/10/10,during lunch hours,54,\"Eva, Olivia\"\ne29689,2018/10/10,in the morning,41,\"Nevaeh, Piper, Rylee, Claire\"\ne29690,2018/10/10,in the late afternoon,28,\"Layla, Rylee\"\ne29697,2018/10/11,in the late afternoon,49,\"Hazel, Rylee, Eva\"\ne29698,2018/10/11,in the early afternoon,5,Nora\ne29705,2018/10/12,in the morning,31,Rylee\ne29706,2018/10/12,in the early afternoon,9,Lydia\ne29707,2018/10/12,in the morning,35,\"Layla, Nora\"\ne29708,2018/10/12,in the early afternoon,52,\"Nevaeh, Piper, Olivia\"\ne29715,2018/10/13,in the early afternoon,5,Kinsley\ne29716,2018/10/13,during lunch hours,31,\"Kinsley, Olivia, Hazel\"\ne29717,2018/10/13,in the late afternoon,38,\"Nora, Piper, Hazel, Layla\"\ne29718,2018/10/13,in the late afternoon,6,\"Rylee, Avery\"\ne29725,2018/10/14,in the morning,41,Kinsley\ne29726,2018/10/14,during lunch hours,36,\"Nora, Piper\"\ne29727,2018/10/14,in the morning,11,\"Olivia, Nevaeh, Nora, Layla\"\ne29734,2018/10/15,in the early afternoon,11,Nora\ne29735,2018/10/15,late in the evening,20,Kinsley\ne29736,2018/10/15,during lunch hours,50,\"Piper, Hazel, Rylee\"\ne29743,2018/10/16,in the late afternoon,24,\"Eva, Hazel, Layla, Olivia\"\ne29744,2018/10/16,in the early afternoon,8,\"Rylee, Piper\"\ne29745,2018/10/16,late in the evening,11,Claire\ne29746,2018/10/16,during lunch hours,10,Piper\ne29753,2018/10/17,during lunch hours,28,\"Layla, Hazel\"\ne29754,2018/10/17,in the late afternoon,26,\"Olivia, Nora, Lydia, Rylee\"\ne29755,2018/10/17,in the early afternoon,49,\"Piper, Piper\"\ne29762,2018/10/18,in the early evening,8,\"Eva, Kinsley, Nevaeh, Avery\"\ne29763,2018/10/18,in the early afternoon,11,\"Avery, Hazel, Kinsley\"\ne29764,2018/10/18,during lunch hours,26,\"Olivia, Lydia, Avery, Nora\"\ne29771,2018/10/19,late in the evening,35,\"Hazel, Piper, Lydia\"\ne29772,2018/10/19,in the morning,46,\"Olivia, Avery\"\ne29773,2018/10/19,during lunch hours,17,\"Nora, Piper\"\ne29780,2018/10/20,in the early evening,23,\"Nevaeh, Layla, Avery\"\ne29781,2018/10/20,in the early afternoon,13,\"Nora, Avery, Nevaeh, Piper\"\ne29788,2018/10/21,in the late afternoon,46,Rylee\ne29789,2018/10/21,in the morning,24,Avery\ne29790,2018/10/21,in the early evening,53,\"Rylee, Nevaeh\"\ne29797,2018/10/22,in the early afternoon,8,Piper\ne29798,2018/10/22,in the early evening,43,\"Avery, Eva, Piper, Hazel\"\ne29799,2018/10/22,in the early afternoon,14,\"Kinsley, Lydia, Layla, Avery\"\ne29806,2018/10/23,in the morning,41,\"Eva, Rylee\"\ne29807,2018/10/23,in the morning,21,\"Nora, Layla\"\ne29808,2018/10/23,in the late afternoon,48,\"Piper, Lydia, Olivia, Nora\"\ne29815,2018/10/24,in the late afternoon,7,\"Eva, Piper\"\ne29816,2018/10/24,during lunch hours,12,\"Olivia, Nevaeh\"\ne29817,2018/10/24,in the morning,20,\"Nevaeh, Nora, Lydia, Avery\"\ne29818,2018/10/24,in the early evening,12,\"Nora, Hazel, Avery\"\ne29825,2018/10/25,in the early evening,17,\"Lydia, Piper, Nora\"\ne29826,2018/10/25,in the early afternoon,12,Piper\ne29827,2018/10/25,during lunch hours,38,\"Nora, Rylee, Olivia, Kinsley\"\ne29834,2018/10/26,in the early afternoon,40,\"Lydia, Piper, Layla, Piper\"\ne29835,2018/10/26,in the morning,27,\"Rylee, Nora, Claire\"\ne29836,2018/10/26,in the late afternoon,7,\"Rylee, Nora, Nevaeh, Piper\"\ne29837,2018/10/26,in the morning,24,\"Hazel, Nora\"\ne29844,2018/10/27,during lunch hours,18,\"Claire, Nevaeh, Piper, Avery\"\ne29845,2018/10/27,during lunch hours,45,\"Piper, Piper, Nevaeh, Kinsley\"\ne29846,2018/10/27,during lunch hours,21,\"Nevaeh, Claire\"\ne29853,2018/10/28,during lunch hours,42,Layla\ne29854,2018/10/28,in the late afternoon,20,\"Kinsley, Layla\"\ne29855,2018/10/28,in the late afternoon,26,Nevaeh\ne29856,2018/10/28,during lunch hours,16,Rylee\ne29863,2018/10/29,in the early evening,33,\"Avery, Kinsley, Piper\"\ne29864,2018/10/29,in the early evening,6,\"Hazel, Layla, Rylee\"\ne29865,2018/10/29,in the early afternoon,50,\"Olivia, Rylee, Nora, Layla\"\ne29866,2018/10/29,in the early evening,14,\"Nora, Olivia, Rylee\"\ne29873,2018/10/30,in the morning,12,\"Hazel, Rylee, Nora\"\ne29874,2018/10/30,in the morning,9,\"Rylee, Nevaeh\"\ne29875,2018/10/30,during lunch hours,47,Piper\ne29882,2018/10/31,in the early afternoon,21,\"Nora, Claire, Layla\"\ne29883,2018/10/31,during lunch hours,44,Layla\ne29884,2018/10/31,in the early afternoon,44,\"Layla, Rylee, Olivia\"\ne29891,2018/11/01,in the late afternoon,16,Nevaeh\ne29892,2018/11/01,in the morning,18,\"Avery, Rylee, Kinsley, Hazel\"\ne29899,2018/11/02,in the early afternoon,49,Lydia\ne29900,2018/11/02,during lunch hours,25,Rylee\ne29901,2018/11/02,in the early evening,22,Kinsley\ne29908,2018/11/03,late in the evening,7,\"Piper, Hazel, Eva\"\ne29909,2018/11/03,in the early afternoon,48,Rylee\ne29910,2018/11/03,in the morning,35,\"Kinsley, Olivia, Hazel, Eva\"\ne29916,2018/11/04,late in the evening,47,\"Hazel, Claire\"\ne29917,2018/11/04,late in the evening,16,\"Piper, Avery, Olivia\"\ne29924,2018/11/05,during lunch hours,41,\"Piper, Rylee, Olivia, Avery\"\ne29925,2018/11/05,in the early evening,15,\"Olivia, Nevaeh\"\ne29926,2018/11/05,late in the evening,13,\"Olivia, Rylee\"\ne29927,2018/11/05,in the morning,17,\"Layla, Nora, Kinsley, Hazel\"\ne29934,2018/11/06,in the late afternoon,41,\"Nora, Kinsley, Piper, Layla\"\ne29935,2018/11/06,in the morning,28,\"Piper, Claire, Avery, Layla\"\ne29942,2018/11/07,in the morning,27,\"Olivia, Hazel, Nora, Lydia\"\ne29943,2018/11/07,in the early evening,54,Eva\ne29950,2018/11/08,during lunch hours,10,\"Kinsley, Piper\"\ne29951,2018/11/08,in the early afternoon,41,\"Nevaeh, Olivia, Piper, Layla\"\ne29958,2018/11/09,in the early evening,27,\"Avery, Eva, Hazel, Rylee\"\ne29959,2018/11/09,during lunch hours,36,Kinsley\ne29960,2018/11/09,in the early afternoon,27,Eva\ne29967,2018/11/10,late in the evening,24,\"Piper, Nevaeh, Olivia, Kinsley\"\ne29968,2018/11/10,in the morning,22,\"Hazel, Olivia, Lydia, Rylee\"\ne29975,2018/11/11,late in the evening,19,Piper\ne29976,2018/11/11,in the late afternoon,28,\"Nevaeh, Claire\"\ne29977,2018/11/11,in the morning,35,Hazel\ne29984,2018/11/12,in the late afternoon,42,\"Layla, Eva, Claire, Kinsley\"\ne29985,2018/11/12,late in the evening,5,\"Layla, Eva, Rylee, Olivia\"\ne29992,2018/11/13,in the early afternoon,15,Nevaeh\ne29993,2018/11/13,in the early afternoon,31,Olivia\ne30000,2018/11/14,in the morning,51,Nevaeh\ne30007,2018/11/15,in the early evening,54,\"Avery, Piper, Nevaeh, Hazel\"\ne30008,2018/11/15,late in the evening,49,Piper\ne30015,2018/11/16,during lunch hours,13,\"Layla, Lydia, Avery, Rylee\"\ne30016,2018/11/16,late in the evening,7,\"Nevaeh, Kinsley, Olivia, Piper\"\ne30017,2018/11/16,in the morning,33,\"Kinsley, Hazel\"\ne30024,2018/11/17,in the late afternoon,44,\"Layla, Claire\"\ne30025,2018/11/17,in the morning,24,Claire\ne30026,2018/11/17,during lunch hours,19,\"Avery, Layla\"\ne30027,2018/11/17,in the morning,50,\"Nora, Claire, Kinsley, Avery\"\ne30034,2018/11/18,in the morning,28,Rylee\ne30035,2018/11/18,late in the evening,55,Rylee\ne30042,2018/11/19,in the morning,34,\"Nora, Eva, Avery, Lydia\"\ne30043,2018/11/19,in the early afternoon,32,\"Piper, Lydia, Piper, Olivia\"\ne30044,2018/11/19,during lunch hours,25,Lydia\ne30051,2018/11/20,during lunch hours,40,\"Rylee, Layla\"\ne30052,2018/11/20,during lunch hours,39,Nora\ne30053,2018/11/20,late in the evening,23,\"Kinsley, Lydia, Nevaeh\"\ne30054,2018/11/20,in the early afternoon,33,\"Hazel, Avery, Layla\"\ne30061,2018/11/21,late in the evening,45,\"Layla, Lydia, Nevaeh, Piper\"\ne30062,2018/11/21,in the early evening,37,\"Avery, Nevaeh\"\ne30063,2018/11/21,late in the evening,54,\"Lydia, Nevaeh\"\ne30070,2018/11/22,in the early evening,21,Kinsley\ne30071,2018/11/22,in the early afternoon,39,\"Rylee, Lydia, Nevaeh, Piper\"\ne30078,2018/11/23,in the morning,18,Piper\ne30079,2018/11/23,in the late afternoon,40,\"Lydia, Eva\"\ne30080,2018/11/23,in the early evening,23,\"Avery, Nevaeh\"\ne30087,2018/11/24,in the early evening,51,\"Piper, Avery, Nora, Lydia\"\ne30088,2018/11/24,in the late afternoon,21,\"Piper, Rylee, Eva, Layla\"\ne30089,2018/11/24,in the early afternoon,11,\"Avery, Olivia\"\ne30090,2018/11/24,in the morning,53,\"Hazel, Avery, Rylee, Eva\"\ne30096,2018/11/25,late in the evening,38,\"Layla, Kinsley, Nevaeh\"\ne30097,2018/11/25,late in the evening,45,\"Piper, Hazel, Eva, Nora\"\ne30098,2018/11/25,in the late afternoon,23,Piper\ne30099,2018/11/25,in the early evening,55,\"Kinsley, Lydia\"\ne30106,2018/11/26,in the early evening,43,Avery\ne30107,2018/11/26,in the morning,18,\"Kinsley, Piper, Avery\"\ne30113,2018/11/27,in the early evening,29,\"Lydia, Olivia, Layla, Rylee\"\ne30114,2018/11/27,in the early evening,39,\"Piper, Hazel, Layla\"\ne30121,2018/11/28,in the morning,30,\"Kinsley, Claire\"\ne30122,2018/11/28,late in the evening,42,Lydia\ne30123,2018/11/28,in the late afternoon,5,\"Kinsley, Nora\"\ne30130,2018/11/29,in the early evening,7,Piper\ne30131,2018/11/29,in the late afternoon,7,\"Hazel, Layla, Nora, Avery\"\ne30132,2018/11/29,during lunch hours,39,Piper\ne30133,2018/11/29,in the morning,43,\"Lydia, Claire, Rylee\"\ne30140,2018/11/30,in the late afternoon,9,\"Kinsley, Avery, Rylee\"\ne30141,2018/11/30,in the late afternoon,39,\"Rylee, Lydia, Piper, Olivia\"\ne30147,2018/12/01,in the morning,55,Claire\ne30154,2018/12/02,in the late afternoon,38,Kinsley\ne30155,2018/12/02,during lunch hours,51,\"Olivia, Piper, Eva, Layla\"\ne30156,2018/12/02,in the late afternoon,39,\"Eva, Claire, Layla\"\ne30157,2018/12/02,in the early evening,31,\"Rylee, Lydia\"\ne30164,2018/12/03,in the early evening,43,\"Layla, Kinsley, Olivia\"\ne30165,2018/12/03,in the early afternoon,37,Olivia\ne30166,2018/12/03,in the early afternoon,5,\"Avery, Lydia\"\ne30173,2018/12/04,in the early afternoon,10,\"Nora, Hazel, Layla\"\ne30174,2018/12/04,in the early evening,9,\"Layla, Rylee, Kinsley\"\ne30181,2018/12/05,in the early evening,48,Piper\ne30182,2018/12/05,in the late afternoon,44,\"Layla, Nevaeh\"\ne30183,2018/12/05,late in the evening,38,\"Layla, Avery, Nora\"\ne30184,2018/12/05,in the early afternoon,44,\"Rylee, Lydia\"\ne30191,2018/12/06,in the morning,11,\"Olivia, Layla\"\ne30192,2018/12/06,late in the evening,41,\"Piper, Lydia, Olivia\"\ne30193,2018/12/06,during lunch hours,26,\"Nora, Olivia, Layla\"\ne30200,2018/12/07,in the early afternoon,52,\"Claire, Rylee, Piper, Nora\"\ne30201,2018/12/07,during lunch hours,53,\"Hazel, Claire\"\ne30208,2018/12/08,in the early afternoon,50,\"Piper, Nora, Olivia\"\ne30209,2018/12/08,in the late afternoon,34,Claire\ne30210,2018/12/08,during lunch hours,25,\"Lydia, Nora, Piper\"\ne30211,2018/12/08,in the late afternoon,30,\"Nevaeh, Piper, Kinsley, Nora\"\ne30218,2018/12/09,in the early afternoon,25,\"Piper, Hazel, Kinsley, Olivia\"\ne30219,2018/12/09,in the morning,17,\"Lydia, Avery, Layla, Olivia\"\ne30220,2018/12/09,in the late afternoon,47,\"Piper, Nevaeh\"\ne30227,2018/12/10,in the late afternoon,55,\"Olivia, Kinsley, Hazel\"\ne30228,2018/12/10,during lunch hours,29,\"Eva, Kinsley, Piper, Lydia\"\ne30229,2018/12/10,in the morning,13,\"Eva, Claire, Olivia\"\ne30236,2018/12/11,in the early evening,43,\"Avery, Nevaeh\"\ne30237,2018/12/11,during lunch hours,51,\"Piper, Claire, Lydia\"\ne30238,2018/12/11,in the late afternoon,28,\"Rylee, Avery\"\ne30245,2018/12/12,in the early afternoon,36,\"Claire, Lydia, Hazel, Piper\"\ne30246,2018/12/12,in the morning,39,\"Lydia, Avery, Kinsley\"\ne30247,2018/12/12,during lunch hours,50,\"Lydia, Layla, Eva, Piper\"\ne30253,2018/12/13,in the early afternoon,20,\"Nevaeh, Avery, Layla, Kinsley\"\ne30254,2018/12/13,in the morning,45,\"Piper, Kinsley, Nora, Layla\"\ne30255,2018/12/13,in the early afternoon,27,\"Nora, Kinsley\"\ne30256,2018/12/13,in the late afternoon,26,Kinsley\ne30263,2018/12/14,in the late afternoon,25,\"Nevaeh, Rylee, Eva, Olivia\"\ne30264,2018/12/14,in the late afternoon,8,\"Lydia, Kinsley, Piper\"\ne30271,2018/12/15,during lunch hours,34,\"Hazel, Avery, Lydia, Eva\"\ne30272,2018/12/15,in the early afternoon,5,\"Claire, Eva, Hazel\"\ne30279,2018/12/16,in the morning,33,\"Kinsley, Rylee, Eva\"\ne30280,2018/12/16,in the morning,9,\"Lydia, Olivia, Eva, Piper\"\ne30281,2018/12/16,in the morning,46,Claire\ne30288,2018/12/17,in the late afternoon,14,Nora\ne30295,2018/12/18,in the early evening,31,\"Kinsley, Layla\"\ne30296,2018/12/18,in the late afternoon,43,\"Rylee, Piper\"\ne30297,2018/12/18,during lunch hours,15,\"Eva, Nora\"\ne30298,2018/12/18,in the early evening,11,\"Hazel, Eva, Nora\"\ne30305,2018/12/19,in the early afternoon,36,\"Kinsley, Olivia\"\ne30306,2018/12/19,in the late afternoon,40,Hazel\ne30307,2018/12/19,late in the evening,32,\"Claire, Hazel\"\ne30314,2018/12/20,late in the evening,32,\"Layla, Kinsley, Hazel, Piper\"\ne30321,2018/12/21,in the morning,17,\"Nevaeh, Olivia, Hazel, Avery\"\ne30322,2018/12/21,in the morning,42,\"Claire, Piper, Piper, Kinsley\"\ne30323,2018/12/21,during lunch hours,49,Layla\ne30330,2018/12/22,in the morning,34,\"Nora, Hazel\"\ne30331,2018/12/22,in the morning,40,\"Piper, Lydia\"\ne30332,2018/12/22,late in the evening,55,\"Nevaeh, Kinsley\"\ne30339,2018/12/23,late in the evening,48,\"Piper, Kinsley\"\ne30340,2018/12/23,in the late afternoon,14,\"Claire, Olivia\"\ne30341,2018/12/23,in the early afternoon,41,\"Lydia, Kinsley, Hazel\"\ne30348,2018/12/24,late in the evening,47,\"Nora, Rylee, Olivia\"\ne30349,2018/12/24,in the late afternoon,17,\"Rylee, Avery\"\ne30350,2018/12/24,in the early afternoon,29,Hazel\ne30357,2018/12/25,in the early afternoon,54,\"Rylee, Piper\"\ne30358,2018/12/25,in the late afternoon,36,\"Nora, Hazel, Piper\"\ne30359,2018/12/25,in the early afternoon,55,\"Piper, Hazel\"\ne30366,2018/12/26,during lunch hours,12,\"Rylee, Nora, Eva\"\ne30367,2018/12/26,in the morning,54,\"Piper, Layla\"\ne30374,2018/12/27,during lunch hours,21,Lydia\ne30375,2018/12/27,late in the evening,41,\"Olivia, Claire, Lydia, Avery\"\ne30381,2018/12/28,in the early evening,41,\"Nora, Hazel, Lydia\"\ne30382,2018/12/28,late in the evening,30,\"Eva, Rylee, Nevaeh, Nora\"\ne30383,2018/12/28,during lunch hours,35,\"Piper, Hazel\"\ne30384,2018/12/28,in the late afternoon,39,Rylee\ne30391,2018/12/29,during lunch hours,16,\"Nora, Kinsley, Nevaeh\"\ne30392,2018/12/29,in the early afternoon,35,Avery\ne30393,2018/12/29,in the early evening,5,\"Hazel, Layla, Piper, Claire\"\ne30400,2018/12/30,in the morning,22,\"Lydia, Layla\"\ne30401,2018/12/30,in the early afternoon,17,\"Piper, Lydia, Nora\"\ne30402,2018/12/30,in the early afternoon,32,\"Layla, Avery, Lydia\"\ne30403,2018/12/30,during lunch hours,53,\"Rylee, Layla, Hazel\"\ne30409,2018/12/31,in the early evening,14,\"Hazel, Eva, Lydia, Rylee\"\ne30410,2018/12/31,during lunch hours,31,Piper\ne30411,2018/12/31,in the early evening,44,Lydia\ne30628,2019/01/01,in the early evening,44,Kinsley\ne30629,2019/01/01,during lunch hours,28,\"Nora, Olivia, Piper, Layla\"\ne30630,2019/01/01,in the early afternoon,11,Nevaeh\ne30636,2019/01/02,in the morning,36,\"Piper, Lydia, Piper\"\ne30637,2019/01/02,late in the evening,48,Layla\ne30638,2019/01/02,in the early evening,28,\"Piper, Kinsley, Eva, Piper\"\ne30645,2019/01/03,in the morning,48,\"Eva, Nora, Olivia\"\ne30646,2019/01/03,in the early evening,13,\"Claire, Eva, Piper\"\ne30647,2019/01/03,in the early afternoon,36,Nevaeh\ne30654,2019/01/04,in the morning,16,\"Layla, Nevaeh\"\ne30655,2019/01/04,during lunch hours,30,\"Eva, Claire, Olivia, Piper\"\ne30656,2019/01/04,in the morning,7,Piper\ne30663,2019/01/05,in the early afternoon,26,\"Lydia, Avery, Nora\"\ne30670,2019/01/06,in the late afternoon,25,Nora\ne30671,2019/01/06,during lunch hours,16,\"Lydia, Piper, Nora\"\ne30672,2019/01/06,in the morning,16,\"Kinsley, Nora, Layla, Rylee\"\ne30679,2019/01/07,during lunch hours,9,\"Rylee, Kinsley, Claire\"\ne30680,2019/01/07,late in the evening,42,\"Piper, Nevaeh\"\ne30687,2019/01/08,in the morning,54,\"Piper, Lydia\"\ne30688,2019/01/08,in the late afternoon,17,\"Piper, Piper\"\ne30695,2019/01/09,in the late afternoon,24,Nevaeh\ne30696,2019/01/09,during lunch hours,5,Piper\ne30703,2019/01/10,in the early evening,6,\"Avery, Eva\"\ne30704,2019/01/10,in the early afternoon,52,Piper\ne30711,2019/01/11,during lunch hours,48,\"Piper, Hazel\"\ne30712,2019/01/11,in the early evening,13,\"Nevaeh, Hazel, Avery\"\ne30713,2019/01/11,in the early evening,16,\"Lydia, Kinsley, Eva, Hazel\"\ne30720,2019/01/12,in the morning,16,\"Nora, Rylee\"\ne30721,2019/01/12,late in the evening,22,\"Eva, Hazel, Piper\"\ne30722,2019/01/12,in the early evening,31,Piper\ne30729,2019/01/13,in the late afternoon,30,\"Piper, Hazel\"\ne30730,2019/01/13,during lunch hours,20,\"Hazel, Rylee, Olivia\"\ne30731,2019/01/13,in the early afternoon,51,\"Piper, Lydia\"\ne30732,2019/01/13,in the late afternoon,12,Nora\ne30739,2019/01/14,in the early afternoon,19,\"Rylee, Eva, Piper\"\ne30740,2019/01/14,in the early evening,43,\"Piper, Layla, Nevaeh\"\ne30741,2019/01/14,in the early evening,35,\"Hazel, Claire\"\ne30748,2019/01/15,in the morning,20,\"Layla, Avery, Claire, Eva\"\ne30749,2019/01/15,late in the evening,15,Rylee\ne30755,2019/01/16,in the early afternoon,10,\"Piper, Kinsley\"\ne30756,2019/01/16,in the late afternoon,31,Piper\ne30763,2019/01/17,in the early afternoon,14,\"Hazel, Rylee, Kinsley\"\ne30764,2019/01/17,in the early afternoon,40,\"Claire, Layla, Piper\"\ne30765,2019/01/17,in the early evening,20,\"Avery, Rylee\"\ne30772,2019/01/18,in the early evening,18,\"Kinsley, Piper, Layla\"\ne30773,2019/01/18,in the early evening,52,\"Layla, Hazel, Olivia, Lydia\"\ne30774,2019/01/18,in the late afternoon,15,\"Nora, Layla\"\ne30781,2019/01/19,in the late afternoon,20,Nora\ne30782,2019/01/19,late in the evening,9,\"Olivia, Nevaeh, Piper\"\ne30783,2019/01/19,during lunch hours,52,\"Nora, Hazel, Eva, Nevaeh\"\ne30790,2019/01/20,during lunch hours,31,Nevaeh\ne30791,2019/01/20,in the late afternoon,43,\"Eva, Claire, Hazel, Kinsley\"\ne30792,2019/01/20,in the late afternoon,49,\"Piper, Avery, Olivia, Hazel\"\ne30799,2019/01/21,in the late afternoon,27,\"Piper, Layla\"\ne30800,2019/01/21,in the early evening,16,\"Rylee, Lydia, Avery, Piper\"\ne30807,2019/01/22,in the early evening,25,\"Rylee, Nora\"\ne30808,2019/01/22,during lunch hours,33,\"Hazel, Piper\"\ne30809,2019/01/22,in the late afternoon,39,Kinsley\ne30810,2019/01/22,in the late afternoon,39,\"Piper, Kinsley, Piper, Hazel\"\ne30817,2019/01/23,late in the evening,6,Eva\ne30818,2019/01/23,late in the evening,55,Layla\ne30819,2019/01/23,late in the evening,7,Avery\ne30826,2019/01/24,in the early afternoon,8,\"Avery, Lydia\"\ne30827,2019/01/24,during lunch hours,52,\"Kinsley, Eva\"\ne30828,2019/01/24,in the late afternoon,55,\"Layla, Hazel, Claire\"\ne30835,2019/01/25,late in the evening,27,\"Olivia, Lydia, Hazel, Rylee\"\ne30836,2019/01/25,late in the evening,50,\"Nora, Layla, Avery, Piper\"\ne30843,2019/01/26,in the early afternoon,37,\"Lydia, Piper\"\ne30844,2019/01/26,during lunch hours,21,\"Rylee, Kinsley, Layla\"\ne30845,2019/01/26,in the early afternoon,22,\"Nevaeh, Kinsley\"\ne30846,2019/01/26,during lunch hours,41,Claire\ne30853,2019/01/27,during lunch hours,26,\"Olivia, Piper, Nora, Kinsley\"\ne30860,2019/01/28,during lunch hours,6,\"Eva, Kinsley, Nevaeh, Hazel\"\ne30861,2019/01/28,during lunch hours,8,\"Rylee, Claire, Kinsley\"\ne30862,2019/01/28,in the late afternoon,22,Nora\ne30869,2019/01/29,late in the evening,54,\"Claire, Rylee\"\ne30870,2019/01/29,in the late afternoon,42,\"Hazel, Avery, Piper, Nora\"\ne30877,2019/01/30,in the morning,42,Nevaeh\ne30878,2019/01/30,in the early evening,37,\"Rylee, Hazel, Kinsley, Lydia\"\ne30885,2019/01/31,in the late afternoon,20,\"Layla, Hazel\"\ne30886,2019/01/31,late in the evening,44,\"Olivia, Kinsley, Eva, Rylee\"\ne30887,2019/01/31,late in the evening,8,\"Eva, Hazel, Kinsley\"\ne30894,2019/02/01,in the early evening,29,\"Nevaeh, Lydia\"\ne30895,2019/02/01,during lunch hours,48,\"Rylee, Nevaeh\"\ne30902,2019/02/02,in the morning,25,Avery\ne30903,2019/02/02,in the morning,34,Layla\ne30904,2019/02/02,in the early evening,10,\"Eva, Rylee\"\ne30911,2019/02/03,in the early afternoon,17,\"Piper, Nevaeh, Lydia\"\ne30912,2019/02/03,late in the evening,51,\"Rylee, Piper, Olivia, Claire\"\ne30913,2019/02/03,in the early evening,18,\"Hazel, Lydia, Olivia, Kinsley\"\ne30920,2019/02/04,in the late afternoon,17,\"Claire, Kinsley\"\ne30921,2019/02/04,in the late afternoon,26,\"Piper, Nora, Claire\"\ne30922,2019/02/04,in the morning,25,\"Rylee, Layla\"\ne30929,2019/02/05,late in the evening,33,\"Claire, Olivia, Piper\"\ne30930,2019/02/05,in the late afternoon,14,\"Avery, Nora, Layla\"\ne30937,2019/02/06,in the early evening,7,Avery\ne30938,2019/02/06,in the morning,45,\"Eva, Nora, Kinsley, Olivia\"\ne30945,2019/02/07,in the early evening,23,\"Layla, Avery\"\ne30946,2019/02/07,late in the evening,5,\"Piper, Avery\"\ne30947,2019/02/07,in the early evening,35,Rylee\ne30948,2019/02/07,late in the evening,9,\"Nevaeh, Claire\"\ne30955,2019/02/08,in the late afternoon,54,\"Layla, Hazel, Piper, Avery\"\ne30956,2019/02/08,in the early afternoon,45,\"Nora, Rylee, Piper\"\ne30957,2019/02/08,in the late afternoon,23,\"Piper, Kinsley, Nevaeh, Hazel\"\ne30958,2019/02/08,in the early evening,21,\"Avery, Lydia, Olivia\"\ne30965,2019/02/09,in the early evening,26,\"Lydia, Rylee\"\ne30966,2019/02/09,in the early evening,25,Piper\ne30967,2019/02/09,during lunch hours,46,\"Claire, Avery, Kinsley\"\ne30974,2019/02/10,in the morning,19,Layla\ne30975,2019/02/10,in the late afternoon,37,\"Rylee, Olivia, Lydia, Claire\"\ne30976,2019/02/10,in the late afternoon,11,\"Piper, Rylee, Claire\"\ne30983,2019/02/11,late in the evening,24,Lydia\ne30984,2019/02/11,in the late afternoon,36,Piper\ne30991,2019/02/12,in the late afternoon,35,\"Olivia, Layla, Claire\"\ne30992,2019/02/12,in the early afternoon,14,\"Avery, Eva, Layla\"\ne30993,2019/02/12,during lunch hours,22,\"Nora, Olivia\"\ne31000,2019/02/13,during lunch hours,51,\"Lydia, Hazel, Avery\"\ne31001,2019/02/13,in the late afternoon,8,\"Olivia, Piper\"\ne31008,2019/02/14,in the morning,55,\"Lydia, Olivia, Piper\"\ne31009,2019/02/14,in the late afternoon,18,\"Layla, Claire\"\ne31010,2019/02/14,in the late afternoon,14,\"Layla, Nevaeh, Avery, Rylee\"\ne31017,2019/02/15,in the late afternoon,33,\"Hazel, Claire, Lydia, Nevaeh\"\ne31018,2019/02/15,in the early evening,28,\"Nora, Olivia, Eva, Piper\"\ne31019,2019/02/15,in the early afternoon,16,\"Hazel, Avery\"\ne31020,2019/02/15,in the late afternoon,42,Claire\ne31027,2019/02/16,in the morning,20,Kinsley\ne31028,2019/02/16,in the late afternoon,16,Rylee\ne31029,2019/02/16,in the late afternoon,33,\"Olivia, Piper\"\ne31030,2019/02/16,in the early afternoon,24,Eva\ne31036,2019/02/17,late in the evening,14,\"Layla, Avery, Kinsley\"\ne31037,2019/02/17,in the morning,35,\"Claire, Hazel, Nevaeh, Kinsley\"\ne31038,2019/02/17,in the late afternoon,9,\"Claire, Olivia\"\ne31045,2019/02/18,during lunch hours,24,Layla\ne31046,2019/02/18,in the morning,39,\"Piper, Eva, Hazel, Nevaeh\"\ne31047,2019/02/18,in the morning,13,\"Piper, Claire, Nevaeh, Piper\"\ne31054,2019/02/19,in the early afternoon,13,Olivia\ne31055,2019/02/19,in the morning,22,\"Lydia, Rylee\"\ne31056,2019/02/19,during lunch hours,32,Nora\ne31063,2019/02/20,in the late afternoon,6,Nevaeh\ne31064,2019/02/20,late in the evening,7,\"Hazel, Lydia, Kinsley, Avery\"\ne31065,2019/02/20,in the late afternoon,36,\"Lydia, Hazel\"\ne31071,2019/02/21,during lunch hours,45,\"Nevaeh, Kinsley, Eva, Hazel\"\ne31077,2019/02/22,in the late afternoon,52,Nora\ne31078,2019/02/22,in the early afternoon,43,\"Kinsley, Nevaeh, Piper, Nora\"\ne31084,2019/02/23,during lunch hours,40,\"Lydia, Piper, Kinsley, Layla\"\ne31085,2019/02/23,during lunch hours,43,Olivia\ne31086,2019/02/23,in the early afternoon,54,\"Piper, Piper, Olivia, Nora\"\ne31092,2019/02/24,in the late afternoon,16,\"Eva, Nora, Rylee\"\ne31093,2019/02/24,in the early evening,55,\"Rylee, Claire, Eva, Hazel\"\ne31099,2019/02/25,in the early evening,49,\"Kinsley, Lydia, Piper, Claire\"\ne31100,2019/02/25,late in the evening,32,\"Hazel, Rylee, Olivia\"\ne31101,2019/02/25,in the early evening,14,Layla\ne31102,2019/02/25,in the morning,37,\"Nora, Rylee, Olivia\"\ne31108,2019/02/26,in the early afternoon,26,\"Kinsley, Claire\"\ne31109,2019/02/26,late in the evening,31,\"Rylee, Olivia, Piper, Nevaeh\"\ne31110,2019/02/26,in the early evening,12,Piper\ne31111,2019/02/26,in the morning,26,Hazel\ne31117,2019/02/27,in the morning,42,\"Rylee, Olivia, Piper\"\ne31118,2019/02/27,in the early afternoon,43,\"Kinsley, Nevaeh, Olivia\"\ne31119,2019/02/27,in the early evening,19,\"Piper, Piper\"\ne31125,2019/02/28,during lunch hours,16,Nora\ne31126,2019/02/28,in the morning,53,\"Olivia, Layla, Claire\"\ne31127,2019/02/28,in the morning,28,\"Olivia, Eva, Nevaeh, Claire\"\ne31133,2019/03/01,in the early evening,35,Avery\ne31134,2019/03/01,during lunch hours,5,\"Avery, Hazel, Piper, Lydia\"\ne31140,2019/03/02,in the early afternoon,36,Layla\ne31141,2019/03/02,in the late afternoon,52,\"Nevaeh, Nora, Hazel, Olivia\"\ne31142,2019/03/02,in the late afternoon,17,Kinsley\ne31148,2019/03/03,late in the evening,29,Hazel\ne31149,2019/03/03,in the early afternoon,38,\"Avery, Nora\"\ne31150,2019/03/03,in the early afternoon,36,\"Avery, Piper, Claire, Olivia\"\ne31156,2019/03/04,in the late afternoon,16,\"Kinsley, Piper, Claire\"\ne31157,2019/03/04,late in the evening,17,Nevaeh\ne31158,2019/03/04,in the early afternoon,55,\"Rylee, Nevaeh\"\ne31165,2019/03/05,in the early evening,40,\"Rylee, Hazel, Nevaeh, Eva\"\ne31166,2019/03/05,in the early evening,8,Claire\ne31167,2019/03/05,during lunch hours,47,\"Hazel, Nevaeh\"\ne31174,2019/03/06,in the early afternoon,42,\"Olivia, Eva\"\ne31175,2019/03/06,in the morning,52,\"Olivia, Nora, Hazel, Layla\"\ne31182,2019/03/07,during lunch hours,5,\"Rylee, Nora\"\ne31183,2019/03/07,in the morning,47,\"Olivia, Nora\"\ne31184,2019/03/07,in the early evening,42,\"Lydia, Hazel, Kinsley\"\ne31191,2019/03/08,in the early afternoon,45,\"Olivia, Claire, Nora, Nevaeh\"\ne31192,2019/03/08,in the morning,14,\"Layla, Claire\"\ne31193,2019/03/08,in the early evening,24,\"Lydia, Eva\"\ne31200,2019/03/09,in the early evening,12,\"Layla, Olivia, Hazel, Kinsley\"\ne31201,2019/03/09,late in the evening,34,\"Avery, Nora, Olivia\"\ne31202,2019/03/09,in the early evening,30,\"Piper, Nevaeh, Rylee\"\ne31203,2019/03/09,in the early afternoon,37,\"Piper, Nora, Piper\"\ne31210,2019/03/10,in the early evening,40,\"Avery, Olivia, Hazel, Layla\"\ne31211,2019/03/10,late in the evening,18,\"Eva, Kinsley, Avery, Piper\"\ne31218,2019/03/11,in the early afternoon,38,Layla\ne31219,2019/03/11,in the morning,40,\"Piper, Olivia\"\ne31220,2019/03/11,in the early afternoon,16,\"Rylee, Avery\"\ne31221,2019/03/11,late in the evening,24,\"Lydia, Layla\"\ne31228,2019/03/12,in the early evening,48,\"Eva, Layla, Piper, Hazel\"\ne31229,2019/03/12,in the late afternoon,51,\"Claire, Nora, Piper\"\ne31230,2019/03/12,late in the evening,41,Layla\ne31231,2019/03/12,late in the evening,36,\"Nevaeh, Nora, Olivia\"\ne31238,2019/03/13,in the late afternoon,11,\"Olivia, Rylee\"\ne31239,2019/03/13,in the early afternoon,38,\"Piper, Nevaeh\"\ne31240,2019/03/13,in the late afternoon,9,\"Nevaeh, Olivia, Claire, Eva\"\ne31241,2019/03/13,late in the evening,30,\"Piper, Layla\"\ne31248,2019/03/14,in the early afternoon,36,Olivia\ne31249,2019/03/14,in the late afternoon,5,\"Lydia, Layla, Olivia, Nevaeh\"\ne31256,2019/03/15,in the late afternoon,11,\"Layla, Piper, Nora, Nevaeh\"\ne31257,2019/03/15,in the early afternoon,18,\"Piper, Layla\"\ne31258,2019/03/15,in the late afternoon,44,\"Nevaeh, Claire, Lydia, Eva\"\ne31264,2019/03/16,in the early evening,37,\"Nora, Rylee, Olivia, Hazel\"\ne31265,2019/03/16,late in the evening,27,Olivia\ne31266,2019/03/16,in the late afternoon,27,\"Kinsley, Nora, Piper, Claire\"\ne31273,2019/03/17,in the late afternoon,27,\"Kinsley, Olivia, Avery, Lydia\"\ne31274,2019/03/17,in the late afternoon,43,Olivia\ne31281,2019/03/18,in the early evening,34,\"Nora, Nevaeh, Lydia, Piper\"\ne31282,2019/03/18,late in the evening,23,\"Piper, Kinsley, Olivia\"\ne31289,2019/03/19,during lunch hours,45,\"Lydia, Claire, Layla, Rylee\"\ne31290,2019/03/19,in the early afternoon,6,\"Hazel, Olivia\"\ne31291,2019/03/19,in the morning,9,Nora\ne31298,2019/03/20,during lunch hours,41,\"Avery, Hazel, Nevaeh, Rylee\"\ne31299,2019/03/20,in the early evening,17,\"Olivia, Rylee\"\ne31306,2019/03/21,in the morning,53,\"Piper, Piper\"\ne31307,2019/03/21,during lunch hours,44,\"Kinsley, Lydia, Piper, Claire\"\ne31314,2019/03/22,late in the evening,9,\"Lydia, Layla, Rylee, Olivia\"\ne31315,2019/03/22,in the late afternoon,8,Rylee\ne31316,2019/03/22,in the early evening,10,Eva\ne31317,2019/03/22,late in the evening,11,Piper\ne31324,2019/03/23,in the morning,42,\"Lydia, Kinsley\"\ne31325,2019/03/23,in the early afternoon,28,\"Claire, Hazel\"\ne31332,2019/03/24,late in the evening,45,\"Piper, Piper, Hazel\"\ne31333,2019/03/24,in the early evening,21,\"Nevaeh, Nora, Piper, Claire\"\ne31334,2019/03/24,in the early evening,52,\"Piper, Piper\"\ne31341,2019/03/25,in the morning,32,\"Kinsley, Layla, Nevaeh\"\ne31342,2019/03/25,during lunch hours,17,\"Piper, Lydia, Claire\"\ne31343,2019/03/25,late in the evening,28,Avery\ne31349,2019/03/26,in the early afternoon,53,\"Eva, Nevaeh\"\ne31350,2019/03/26,in the early afternoon,10,\"Layla, Piper\"\ne31351,2019/03/26,late in the evening,27,Piper\ne31358,2019/03/27,in the late afternoon,49,\"Nevaeh, Kinsley, Eva\"\ne31359,2019/03/27,late in the evening,38,\"Claire, Nevaeh\"\ne31360,2019/03/27,in the early afternoon,22,\"Kinsley, Claire, Piper, Layla\"\ne31361,2019/03/27,in the early afternoon,14,\"Hazel, Layla, Nora\"\ne31368,2019/03/28,late in the evening,19,Nora\ne31369,2019/03/28,in the late afternoon,34,\"Olivia, Lydia, Rylee, Avery\"\ne31370,2019/03/28,in the late afternoon,10,Eva\ne31377,2019/03/29,in the early evening,50,\"Nevaeh, Claire, Rylee, Avery\"\ne31378,2019/03/29,in the early afternoon,28,\"Lydia, Olivia, Eva\"\ne31379,2019/03/29,in the early evening,22,Avery\ne31380,2019/03/29,in the late afternoon,43,\"Hazel, Piper, Avery\"\ne31387,2019/03/30,in the early evening,44,\"Kinsley, Piper, Eva, Piper\"\ne31388,2019/03/30,in the late afternoon,20,\"Nora, Eva, Layla\"\ne31395,2019/03/31,during lunch hours,19,\"Claire, Nora, Piper, Piper\"\ne31396,2019/03/31,in the morning,24,\"Olivia, Nora\"\ne31397,2019/03/31,in the morning,8,\"Olivia, Avery\"\ne31404,2019/04/01,during lunch hours,50,Eva\ne31405,2019/04/01,in the morning,25,Claire\ne31406,2019/04/01,in the early afternoon,14,Eva\ne31413,2019/04/02,in the late afternoon,13,\"Layla, Kinsley, Claire\"\ne31414,2019/04/02,late in the evening,7,Claire\ne31415,2019/04/02,in the morning,18,\"Rylee, Eva, Avery, Nora\"\ne31422,2019/04/03,in the early afternoon,39,\"Eva, Nora, Avery\"\ne31423,2019/04/03,in the early evening,33,Layla\ne31424,2019/04/03,during lunch hours,31,\"Piper, Hazel, Piper, Lydia\"\ne31431,2019/04/04,in the late afternoon,42,Avery\ne31432,2019/04/04,during lunch hours,53,Nevaeh\ne31433,2019/04/04,in the late afternoon,20,Nevaeh\ne31440,2019/04/05,during lunch hours,5,\"Eva, Lydia, Hazel, Kinsley\"\ne31441,2019/04/05,during lunch hours,36,Eva\ne31448,2019/04/06,in the morning,49,Nevaeh\ne31449,2019/04/06,during lunch hours,29,\"Olivia, Avery\"\ne31450,2019/04/06,in the morning,32,Piper\ne31451,2019/04/06,in the early evening,11,\"Kinsley, Piper\"\ne31458,2019/04/07,in the late afternoon,34,Nevaeh\ne31459,2019/04/07,in the morning,36,\"Kinsley, Rylee\"\ne31466,2019/04/08,late in the evening,21,\"Nevaeh, Hazel, Avery\"\ne31467,2019/04/08,in the late afternoon,11,\"Layla, Rylee, Kinsley, Nevaeh\"\ne31474,2019/04/09,late in the evening,37,\"Lydia, Nora, Nevaeh\"\ne31475,2019/04/09,in the late afternoon,26,\"Kinsley, Nevaeh, Eva\"\ne31476,2019/04/09,in the morning,50,Rylee\ne31477,2019/04/09,during lunch hours,21,\"Nora, Layla, Hazel, Rylee\"\ne31484,2019/04/10,in the early evening,37,Olivia\ne31485,2019/04/10,in the early afternoon,11,\"Nora, Kinsley, Lydia\"\ne31486,2019/04/10,in the early afternoon,48,Eva\ne31493,2019/04/11,in the morning,26,Olivia\ne31494,2019/04/11,during lunch hours,17,\"Avery, Lydia, Rylee, Nora\"\ne31501,2019/04/12,late in the evening,39,\"Eva, Hazel\"\ne31502,2019/04/12,in the late afternoon,16,\"Nevaeh, Olivia\"\ne31503,2019/04/12,in the late afternoon,40,\"Lydia, Nora\"\ne31510,2019/04/13,in the early evening,5,\"Eva, Piper, Lydia, Claire\"\ne31511,2019/04/13,during lunch hours,54,\"Lydia, Claire, Piper, Nora\"\ne31518,2019/04/14,during lunch hours,14,\"Eva, Nora, Layla\"\ne31519,2019/04/14,in the morning,30,Avery\ne31526,2019/04/15,late in the evening,7,\"Piper, Layla\"\ne31527,2019/04/15,late in the evening,19,Olivia\ne31534,2019/04/16,late in the evening,27,\"Piper, Nevaeh, Piper, Hazel\"\ne31535,2019/04/16,in the early afternoon,35,\"Nevaeh, Olivia, Piper\"\ne31536,2019/04/16,in the late afternoon,52,\"Hazel, Claire, Nevaeh\"\ne31542,2019/04/17,in the early evening,9,\"Nevaeh, Nora, Rylee, Olivia\"\ne31543,2019/04/17,in the early evening,49,\"Rylee, Piper, Olivia, Nevaeh\"\ne31550,2019/04/18,late in the evening,39,Claire\ne31551,2019/04/18,in the early evening,21,\"Layla, Lydia, Nevaeh, Eva\"\ne31558,2019/04/19,in the early afternoon,23,\"Piper, Hazel, Piper, Olivia\"\ne31559,2019/04/19,in the early afternoon,23,\"Layla, Claire\"\ne31560,2019/04/19,during lunch hours,11,\"Olivia, Lydia, Hazel, Piper\"\ne31566,2019/04/20,in the late afternoon,5,\"Layla, Hazel, Lydia\"\ne31567,2019/04/20,late in the evening,8,Layla\ne31568,2019/04/20,late in the evening,49,Layla\ne31575,2019/04/21,in the morning,18,\"Olivia, Avery, Nora\"\ne31576,2019/04/21,late in the evening,37,\"Eva, Nora\"\ne31577,2019/04/21,late in the evening,55,\"Piper, Eva, Piper\"\ne31584,2019/04/22,during lunch hours,30,\"Nora, Avery, Rylee\"\ne31585,2019/04/22,in the early evening,8,\"Lydia, Olivia\"\ne31591,2019/04/23,in the early afternoon,30,\"Rylee, Avery\"\ne31592,2019/04/23,in the late afternoon,39,\"Nevaeh, Piper, Piper\"\ne31599,2019/04/24,in the early afternoon,51,\"Kinsley, Avery, Nevaeh, Piper\"\ne31600,2019/04/24,in the early afternoon,21,Rylee\ne31601,2019/04/24,in the late afternoon,23,\"Avery, Nora, Claire, Eva\"\ne31602,2019/04/24,late in the evening,55,Nora\ne31608,2019/04/25,in the late afternoon,14,\"Lydia, Claire\"\ne31615,2019/04/26,during lunch hours,32,Piper\ne31616,2019/04/26,late in the evening,22,\"Claire, Olivia, Nevaeh\"\ne31623,2019/04/27,in the early afternoon,25,\"Lydia, Eva, Nora\"\ne31624,2019/04/27,late in the evening,5,\"Eva, Layla, Piper\"\ne31625,2019/04/27,in the morning,13,\"Nora, Piper\"\ne31632,2019/04/28,in the early afternoon,17,Rylee\ne31633,2019/04/28,in the late afternoon,35,Rylee\ne31634,2019/04/28,in the morning,18,\"Kinsley, Lydia, Rylee\"\ne31635,2019/04/28,in the early evening,16,\"Kinsley, Piper, Avery\"\ne31642,2019/04/29,in the morning,49,\"Rylee, Eva, Olivia, Kinsley\"\ne31643,2019/04/29,in the late afternoon,42,Claire\ne31644,2019/04/29,in the morning,52,Claire\ne31650,2019/04/30,in the late afternoon,16,\"Nora, Olivia\"\ne31651,2019/04/30,in the early evening,54,\"Claire, Avery\"\ne31652,2019/04/30,in the early afternoon,55,\"Piper, Avery, Rylee\"\ne31659,2019/05/01,in the morning,35,\"Piper, Hazel, Rylee, Olivia\"\ne31660,2019/05/01,late in the evening,48,\"Layla, Eva, Avery\"\ne31661,2019/05/01,in the late afternoon,43,\"Piper, Claire, Kinsley, Rylee\"\ne31668,2019/05/02,in the late afternoon,33,\"Nora, Eva, Avery, Rylee\"\ne31669,2019/05/02,in the early afternoon,8,\"Rylee, Piper, Layla, Nora\"\ne31670,2019/05/02,during lunch hours,19,\"Lydia, Hazel, Nora, Piper\"\ne31671,2019/05/02,in the late afternoon,17,\"Lydia, Olivia, Claire, Rylee\"\ne31678,2019/05/03,in the morning,29,\"Nora, Avery, Layla, Lydia\"\ne31679,2019/05/03,in the late afternoon,54,\"Nevaeh, Rylee, Layla, Avery\"\ne31680,2019/05/03,in the early evening,6,\"Eva, Nora, Layla\"\ne31687,2019/05/04,during lunch hours,16,Piper\ne31688,2019/05/04,late in the evening,47,\"Claire, Piper, Avery\"\ne31695,2019/05/05,late in the evening,8,\"Nora, Kinsley, Piper, Nevaeh\"\ne31696,2019/05/05,in the late afternoon,45,\"Eva, Claire, Piper\"\ne31697,2019/05/05,late in the evening,5,\"Nora, Layla, Kinsley, Piper\"\ne31704,2019/05/06,during lunch hours,15,\"Piper, Rylee\"\ne31705,2019/05/06,in the early afternoon,34,\"Layla, Olivia\"\ne31712,2019/05/07,in the late afternoon,44,Layla\ne31713,2019/05/07,in the early evening,48,\"Nora, Eva, Nevaeh, Lydia\"\ne31714,2019/05/07,in the morning,23,Claire\ne31721,2019/05/08,in the late afternoon,46,\"Hazel, Kinsley, Lydia\"\ne31722,2019/05/08,in the early afternoon,44,\"Rylee, Avery, Kinsley, Lydia\"\ne31723,2019/05/08,in the late afternoon,35,\"Piper, Nora, Rylee\"\ne31724,2019/05/08,in the morning,21,\"Layla, Piper, Eva, Rylee\"\ne31731,2019/05/09,in the morning,18,\"Kinsley, Olivia\"\ne31732,2019/05/09,late in the evening,20,Layla\ne31733,2019/05/09,in the morning,17,\"Piper, Nora\"\ne31740,2019/05/10,late in the evening,5,\"Kinsley, Piper, Hazel, Eva\"\ne31741,2019/05/10,in the early evening,11,Piper\ne31742,2019/05/10,in the early afternoon,18,\"Nora, Rylee, Hazel, Avery\"\ne31749,2019/05/11,in the late afternoon,48,\"Olivia, Nevaeh, Rylee\"\ne31750,2019/05/11,in the morning,43,Rylee\ne31757,2019/05/12,in the late afternoon,46,\"Layla, Kinsley\"\ne31758,2019/05/12,in the morning,39,Avery\ne31765,2019/05/13,in the early afternoon,40,\"Nora, Lydia\"\ne31766,2019/05/13,in the late afternoon,46,\"Piper, Avery\"\ne31767,2019/05/13,in the early afternoon,7,\"Kinsley, Nevaeh, Rylee, Layla\"\ne31774,2019/05/14,during lunch hours,27,\"Kinsley, Lydia, Rylee, Claire\"\ne31775,2019/05/14,in the early afternoon,17,\"Nora, Kinsley, Lydia\"\ne31776,2019/05/14,in the early evening,15,\"Olivia, Avery, Hazel, Piper\"\ne31783,2019/05/15,late in the evening,54,\"Avery, Lydia, Hazel, Olivia\"\ne31784,2019/05/15,in the early afternoon,49,Layla\ne31785,2019/05/15,in the late afternoon,18,Claire\ne31792,2019/05/16,late in the evening,26,Rylee\ne31793,2019/05/16,in the late afternoon,10,\"Claire, Lydia, Layla, Eva\"\ne31799,2019/05/17,in the morning,51,Kinsley\ne31800,2019/05/17,in the early evening,9,\"Layla, Nevaeh\"\ne31807,2019/05/18,in the early evening,50,\"Piper, Claire, Nevaeh, Layla\"\ne31808,2019/05/18,in the late afternoon,9,Nora\ne31809,2019/05/18,in the morning,44,\"Claire, Piper, Piper\"\ne31816,2019/05/19,in the late afternoon,39,\"Rylee, Eva, Piper, Nora\"\ne31817,2019/05/19,in the early evening,31,Lydia\ne31818,2019/05/19,late in the evening,25,Nevaeh\ne31825,2019/05/20,in the early afternoon,53,Olivia\ne31826,2019/05/20,in the morning,31,Claire\ne31827,2019/05/20,during lunch hours,8,\"Eva, Olivia, Piper\"\ne31834,2019/05/21,in the morning,32,\"Nevaeh, Hazel, Layla\"\ne31835,2019/05/21,in the late afternoon,35,Hazel\ne31836,2019/05/21,in the morning,55,Layla\ne31843,2019/05/22,during lunch hours,41,\"Piper, Olivia, Piper, Hazel\"\ne31844,2019/05/22,in the early afternoon,43,Nora\ne31845,2019/05/22,in the early afternoon,6,\"Olivia, Nora, Claire\"\ne31852,2019/05/23,in the early afternoon,43,\"Piper, Olivia\"\ne31853,2019/05/23,late in the evening,38,Claire\ne31854,2019/05/23,during lunch hours,23,\"Hazel, Rylee, Piper, Avery\"\ne31855,2019/05/23,during lunch hours,8,\"Nora, Piper, Kinsley, Rylee\"\ne31862,2019/05/24,late in the evening,7,\"Piper, Eva\"\ne31863,2019/05/24,in the early evening,8,Rylee\ne31864,2019/05/24,in the late afternoon,7,Lydia\ne31871,2019/05/25,in the morning,43,Nora\ne31872,2019/05/25,in the early evening,50,Rylee\ne31873,2019/05/25,in the late afternoon,25,\"Nora, Eva, Layla, Nevaeh\"\ne31880,2019/05/26,late in the evening,51,\"Rylee, Piper, Lydia, Claire\"\ne31881,2019/05/26,in the morning,6,\"Nevaeh, Lydia, Claire\"\ne31882,2019/05/26,late in the evening,15,\"Piper, Lydia, Eva, Nevaeh\"\ne31889,2019/05/27,in the early evening,22,\"Nevaeh, Kinsley, Layla\"\ne31890,2019/05/27,in the early afternoon,26,\"Olivia, Nevaeh, Rylee, Layla\"\ne31897,2019/05/28,in the morning,36,\"Piper, Nora, Piper, Hazel\"\ne31898,2019/05/28,in the early afternoon,43,\"Claire, Nora, Piper\"\ne31899,2019/05/28,during lunch hours,10,\"Layla, Hazel, Piper\"\ne31900,2019/05/28,in the late afternoon,46,\"Nevaeh, Layla, Olivia\"\ne31907,2019/05/29,in the late afternoon,18,\"Nevaeh, Hazel, Piper\"\ne31908,2019/05/29,in the late afternoon,53,\"Rylee, Piper\"\ne31915,2019/05/30,during lunch hours,38,\"Avery, Lydia\"\ne31916,2019/05/30,during lunch hours,23,\"Layla, Hazel\"\ne31923,2019/05/31,during lunch hours,6,\"Nevaeh, Olivia\"\ne31924,2019/05/31,in the early afternoon,38,Hazel\ne31925,2019/05/31,in the late afternoon,24,\"Lydia, Nora\"\ne31932,2019/06/01,during lunch hours,24,Olivia\ne31933,2019/06/01,in the late afternoon,14,\"Rylee, Nevaeh\"\ne31934,2019/06/01,in the late afternoon,31,\"Piper, Lydia, Piper\"\ne31935,2019/06/01,late in the evening,45,\"Avery, Piper\"\ne31942,2019/06/02,in the early afternoon,35,\"Piper, Nevaeh, Eva, Kinsley\"\ne31943,2019/06/02,in the morning,53,\"Layla, Hazel, Claire, Eva\"\ne31944,2019/06/02,late in the evening,33,Olivia\ne31951,2019/06/03,during lunch hours,27,\"Avery, Rylee, Nora, Claire\"\ne31952,2019/06/03,late in the evening,46,\"Eva, Piper, Lydia\"\ne31959,2019/06/04,in the morning,27,\"Lydia, Piper, Claire\"\ne31960,2019/06/04,in the early evening,29,Hazel\ne31967,2019/06/05,in the morning,12,\"Hazel, Avery, Nevaeh\"\ne31968,2019/06/05,in the early evening,46,\"Rylee, Claire, Nevaeh\"\ne31969,2019/06/05,during lunch hours,41,Layla\ne31976,2019/06/06,in the morning,44,\"Layla, Piper\"\ne31977,2019/06/06,in the late afternoon,27,\"Olivia, Piper, Layla\"\ne31984,2019/06/07,during lunch hours,29,\"Claire, Nora\"\ne31985,2019/06/07,in the early afternoon,26,\"Eva, Lydia\"\ne31986,2019/06/07,during lunch hours,15,\"Lydia, Rylee, Kinsley, Nevaeh\"\ne31993,2019/06/08,in the early afternoon,19,\"Nora, Rylee\"\ne31994,2019/06/08,during lunch hours,18,Claire\ne32001,2019/06/09,in the late afternoon,11,Olivia\ne32002,2019/06/09,in the morning,41,Claire\ne32003,2019/06/09,in the late afternoon,26,\"Lydia, Kinsley, Nevaeh, Layla\"\ne32010,2019/06/10,in the early evening,16,\"Claire, Piper\"\ne32011,2019/06/10,in the late afternoon,52,\"Piper, Olivia, Rylee\"\ne32018,2019/06/11,in the late afternoon,54,\"Nevaeh, Layla\"\ne32019,2019/06/11,late in the evening,32,Nevaeh\ne32020,2019/06/11,late in the evening,22,\"Olivia, Piper\"\ne32021,2019/06/11,in the early evening,37,Lydia\ne32028,2019/06/12,late in the evening,46,Layla\ne32029,2019/06/12,in the early evening,41,Hazel\ne32036,2019/06/13,in the late afternoon,18,\"Eva, Layla, Lydia, Kinsley\"\ne32037,2019/06/13,late in the evening,26,\"Avery, Hazel, Nora\"\ne32038,2019/06/13,during lunch hours,21,\"Eva, Claire, Rylee\"\ne32039,2019/06/13,in the early afternoon,20,\"Nevaeh, Rylee\"\ne32046,2019/06/14,during lunch hours,22,Avery\ne32053,2019/06/15,late in the evening,8,Nevaeh\ne32054,2019/06/15,in the early afternoon,18,\"Nora, Hazel\"\ne32055,2019/06/15,late in the evening,39,Olivia\ne32062,2019/06/16,in the morning,24,Nora\ne32063,2019/06/16,late in the evening,34,Nora\ne32070,2019/06/17,during lunch hours,37,\"Nevaeh, Rylee, Piper, Olivia\"\ne32071,2019/06/17,in the late afternoon,53,\"Piper, Rylee, Claire, Lydia\"\ne32072,2019/06/17,in the early evening,53,Eva\ne32073,2019/06/17,late in the evening,28,Lydia\ne32080,2019/06/18,in the late afternoon,34,\"Rylee, Olivia, Piper, Claire\"\ne32087,2019/06/19,in the morning,33,Olivia\ne32088,2019/06/19,in the late afternoon,46,\"Nevaeh, Nora\"\ne32095,2019/06/20,late in the evening,29,\"Piper, Eva, Kinsley, Hazel\"\ne32096,2019/06/20,during lunch hours,51,Layla\ne32097,2019/06/20,during lunch hours,31,\"Piper, Eva, Claire\"\ne32104,2019/06/21,in the late afternoon,39,\"Olivia, Eva, Layla\"\ne32105,2019/06/21,in the early evening,48,\"Piper, Layla\"\ne32106,2019/06/21,in the late afternoon,35,\"Piper, Olivia\"\ne32113,2019/06/22,in the early afternoon,43,Kinsley\ne32114,2019/06/22,in the early evening,46,Kinsley\ne32115,2019/06/22,late in the evening,26,\"Hazel, Nora, Lydia, Piper\"\ne32116,2019/06/22,in the late afternoon,18,\"Piper, Olivia, Nevaeh\"\ne32123,2019/06/23,in the morning,50,\"Claire, Olivia, Layla\"\ne32124,2019/06/23,during lunch hours,9,\"Hazel, Eva\"\ne32125,2019/06/23,in the early afternoon,18,Claire\ne32131,2019/06/24,in the late afternoon,12,\"Olivia, Nora, Claire, Kinsley\"\ne32132,2019/06/24,in the late afternoon,9,\"Piper, Layla, Olivia, Nora\"\ne32133,2019/06/24,in the early evening,46,\"Nevaeh, Piper, Eva\"\ne32140,2019/06/25,in the late afternoon,20,\"Nevaeh, Avery, Piper\"\ne32141,2019/06/25,in the morning,48,\"Hazel, Eva\"\ne32148,2019/06/26,in the morning,50,\"Avery, Nevaeh, Piper, Piper\"\ne32155,2019/06/27,late in the evening,23,\"Lydia, Eva, Piper, Rylee\"\ne32156,2019/06/27,in the early evening,44,\"Claire, Olivia\"\ne32157,2019/06/27,in the early afternoon,8,\"Claire, Piper\"\ne32164,2019/06/28,in the late afternoon,37,\"Kinsley, Layla, Nora, Eva\"\ne32165,2019/06/28,late in the evening,38,\"Eva, Kinsley, Nora, Lydia\"\ne32172,2019/06/29,late in the evening,48,\"Avery, Nevaeh\"\ne32173,2019/06/29,late in the evening,14,\"Layla, Olivia, Nora, Hazel\"\ne32180,2019/06/30,in the early evening,27,Olivia\ne32181,2019/06/30,late in the evening,51,\"Rylee, Avery, Hazel\"\ne32188,2019/07/01,in the late afternoon,26,\"Nora, Piper, Hazel\"\ne32189,2019/07/01,during lunch hours,10,\"Piper, Hazel, Piper, Eva\"\ne32190,2019/07/01,during lunch hours,22,\"Piper, Kinsley\"\ne32191,2019/07/01,during lunch hours,8,\"Avery, Rylee, Nora, Nevaeh\"\ne32197,2019/07/02,late in the evening,46,\"Lydia, Olivia, Claire, Eva\"\ne32198,2019/07/02,in the morning,49,\"Hazel, Olivia, Claire, Kinsley\"\ne32199,2019/07/02,in the early afternoon,26,\"Claire, Hazel, Kinsley\"\ne32200,2019/07/02,in the early afternoon,48,Kinsley\ne32206,2019/07/03,during lunch hours,52,Rylee\ne32207,2019/07/03,in the morning,45,\"Piper, Hazel, Olivia, Avery\"\ne32214,2019/07/04,in the morning,24,\"Eva, Claire, Kinsley, Rylee\"\ne32215,2019/07/04,in the early afternoon,53,\"Piper, Hazel, Piper, Claire\"\ne32222,2019/07/05,in the morning,34,\"Piper, Nora, Claire, Eva\"\ne32223,2019/07/05,in the late afternoon,6,\"Layla, Eva, Piper, Claire\"\ne32224,2019/07/05,in the early afternoon,12,\"Nevaeh, Eva, Olivia, Kinsley\"\ne32231,2019/07/06,late in the evening,14,\"Nora, Kinsley, Olivia, Hazel\"\ne32232,2019/07/06,late in the evening,55,Nevaeh\ne32233,2019/07/06,during lunch hours,55,\"Avery, Olivia, Claire, Rylee\"\ne32234,2019/07/06,during lunch hours,53,\"Kinsley, Rylee, Hazel, Nora\"\ne32241,2019/07/07,in the late afternoon,37,\"Claire, Layla\"\ne32242,2019/07/07,in the early afternoon,41,\"Kinsley, Rylee\"\ne32243,2019/07/07,in the late afternoon,11,\"Nevaeh, Layla, Avery, Hazel\"\ne32250,2019/07/08,late in the evening,53,Piper\ne32251,2019/07/08,in the late afternoon,37,\"Lydia, Claire\"\ne32252,2019/07/08,in the late afternoon,29,Lydia\ne32259,2019/07/09,late in the evening,23,\"Olivia, Eva\"\ne32260,2019/07/09,in the early evening,35,\"Hazel, Layla\"\ne32267,2019/07/10,late in the evening,41,Layla\ne32268,2019/07/10,in the morning,55,\"Hazel, Eva, Nora\"\ne32269,2019/07/10,late in the evening,20,Eva\ne32275,2019/07/11,during lunch hours,41,Eva\ne32276,2019/07/11,in the early afternoon,5,Kinsley\ne32282,2019/07/12,in the early afternoon,5,Lydia\ne32283,2019/07/12,in the early afternoon,52,\"Eva, Claire, Hazel, Kinsley\"\ne32284,2019/07/12,in the late afternoon,53,\"Rylee, Piper\"\ne32291,2019/07/13,in the late afternoon,36,\"Layla, Nora, Piper\"\ne32292,2019/07/13,in the early afternoon,48,\"Nevaeh, Lydia\"\ne32293,2019/07/13,in the morning,32,Olivia\ne32300,2019/07/14,late in the evening,31,\"Avery, Layla, Kinsley, Hazel\"\ne32301,2019/07/14,in the early evening,8,\"Avery, Rylee, Claire, Piper\"\ne32302,2019/07/14,in the early afternoon,42,\"Eva, Nevaeh\"\ne32309,2019/07/15,in the early evening,14,Piper\ne32310,2019/07/15,in the morning,6,\"Avery, Rylee, Piper\"\ne32317,2019/07/16,in the morning,8,\"Nevaeh, Olivia, Hazel\"\ne32318,2019/07/16,in the early evening,35,\"Layla, Nevaeh, Avery, Piper\"\ne32324,2019/07/17,during lunch hours,25,\"Nora, Kinsley, Avery\"\ne32325,2019/07/17,in the morning,55,\"Olivia, Eva\"\ne32332,2019/07/18,late in the evening,48,Olivia\ne32333,2019/07/18,in the early afternoon,24,Layla\ne32340,2019/07/19,in the late afternoon,24,\"Nevaeh, Layla\"\ne32341,2019/07/19,during lunch hours,29,\"Rylee, Claire, Eva\"\ne32347,2019/07/20,during lunch hours,35,\"Olivia, Layla, Nevaeh\"\ne32348,2019/07/20,in the early evening,9,\"Nora, Piper, Piper\"\ne32349,2019/07/20,in the late afternoon,14,\"Hazel, Piper\"\ne32356,2019/07/21,in the late afternoon,26,\"Nevaeh, Piper, Layla\"\ne32363,2019/07/22,in the late afternoon,45,\"Nora, Piper\"\ne32364,2019/07/22,in the late afternoon,51,\"Nora, Piper, Kinsley\"\ne32365,2019/07/22,in the early afternoon,47,\"Hazel, Piper, Eva, Piper\"\ne32372,2019/07/23,in the early afternoon,53,\"Nora, Nevaeh, Avery, Olivia\"\ne32373,2019/07/23,late in the evening,36,\"Nora, Lydia\"\ne32374,2019/07/23,in the early afternoon,25,Piper\ne32375,2019/07/23,late in the evening,24,\"Rylee, Lydia\"\ne32381,2019/07/24,in the morning,52,\"Piper, Layla, Olivia, Nevaeh\"\ne32382,2019/07/24,in the early afternoon,14,\"Hazel, Nora, Eva\"\ne32383,2019/07/24,in the morning,25,\"Eva, Olivia, Kinsley, Nevaeh\"\ne32390,2019/07/25,in the early evening,25,\"Hazel, Olivia, Piper, Claire\"\ne32391,2019/07/25,in the early afternoon,20,\"Kinsley, Layla, Eva\"\ne32392,2019/07/25,in the early evening,36,\"Avery, Piper, Kinsley, Hazel\"\ne32393,2019/07/25,during lunch hours,15,\"Piper, Eva\"\ne32400,2019/07/26,during lunch hours,45,\"Nora, Rylee\"\ne32401,2019/07/26,during lunch hours,16,\"Olivia, Avery\"\ne32402,2019/07/26,late in the evening,46,Nevaeh\ne32409,2019/07/27,in the early evening,38,\"Lydia, Layla, Piper, Olivia\"\ne32410,2019/07/27,during lunch hours,16,\"Piper, Layla, Rylee\"\ne32411,2019/07/27,in the early evening,54,\"Claire, Nora\"\ne32418,2019/07/28,in the morning,49,\"Lydia, Nevaeh, Piper\"\ne32419,2019/07/28,late in the evening,38,\"Lydia, Hazel, Rylee, Claire\"\ne32425,2019/07/29,in the early afternoon,18,\"Eva, Layla, Nora, Hazel\"\ne32432,2019/07/30,in the early afternoon,40,\"Olivia, Claire\"\ne32433,2019/07/30,during lunch hours,44,Piper\ne32434,2019/07/30,in the morning,24,\"Hazel, Eva\"\ne32441,2019/07/31,in the morning,53,\"Nora, Claire, Lydia, Piper\"\ne32442,2019/07/31,in the early afternoon,46,\"Eva, Avery, Piper, Claire\"\ne32443,2019/07/31,during lunch hours,19,\"Nevaeh, Eva, Olivia, Nora\"\ne32444,2019/07/31,in the early evening,36,\"Eva, Lydia, Layla, Kinsley\"\ne32451,2019/08/01,late in the evening,23,\"Kinsley, Lydia, Avery, Eva\"\ne32458,2019/08/02,in the early evening,32,\"Lydia, Rylee, Nora, Olivia\"\ne32459,2019/08/02,late in the evening,5,\"Avery, Nora\"\ne32460,2019/08/02,in the early evening,42,\"Nevaeh, Claire, Layla\"\ne32467,2019/08/03,in the morning,55,\"Nora, Kinsley, Lydia\"\ne32468,2019/08/03,in the late afternoon,18,\"Avery, Olivia, Kinsley, Lydia\"\ne32475,2019/08/04,during lunch hours,55,\"Piper, Hazel, Olivia, Lydia\"\ne32482,2019/08/05,in the early afternoon,16,Lydia\ne32483,2019/08/05,in the late afternoon,24,Lydia\ne32490,2019/08/06,in the early afternoon,11,\"Lydia, Layla, Piper, Claire\"\ne32491,2019/08/06,during lunch hours,34,\"Eva, Piper, Avery\"\ne32498,2019/08/07,in the early evening,47,Nora\ne32499,2019/08/07,late in the evening,31,\"Avery, Claire, Hazel\"\ne32506,2019/08/08,in the morning,48,\"Piper, Olivia, Piper, Rylee\"\ne32507,2019/08/08,in the early afternoon,43,Kinsley\ne32508,2019/08/08,in the early afternoon,42,\"Layla, Lydia, Piper, Nora\"\ne32515,2019/08/09,in the late afternoon,40,\"Kinsley, Claire, Piper, Eva\"\ne32516,2019/08/09,in the early evening,19,\"Eva, Lydia, Piper, Olivia\"\ne32517,2019/08/09,in the morning,31,Piper\ne32524,2019/08/10,in the late afternoon,15,\"Piper, Olivia, Avery, Piper\"\ne32525,2019/08/10,in the early afternoon,18,\"Kinsley, Layla, Eva\"\ne32526,2019/08/10,during lunch hours,19,Eva\ne32533,2019/08/11,in the early afternoon,9,\"Nevaeh, Rylee, Hazel, Piper\"\ne32534,2019/08/11,in the early afternoon,42,\"Nevaeh, Nora, Olivia, Claire\"\ne32535,2019/08/11,in the late afternoon,5,\"Rylee, Lydia, Eva\"\ne32536,2019/08/11,during lunch hours,13,Piper\ne32543,2019/08/12,during lunch hours,17,Nevaeh\ne32544,2019/08/12,in the late afternoon,23,\"Nora, Piper, Claire, Layla\"\ne32545,2019/08/12,in the morning,7,\"Piper, Eva, Olivia\"\ne32546,2019/08/12,in the morning,36,\"Layla, Rylee\"\ne32553,2019/08/13,in the early evening,50,Kinsley\ne32560,2019/08/14,in the morning,13,\"Avery, Hazel, Piper, Nevaeh\"\ne32561,2019/08/14,in the late afternoon,5,Hazel\ne32562,2019/08/14,during lunch hours,55,\"Avery, Piper\"\ne32569,2019/08/15,in the early afternoon,45,\"Olivia, Hazel, Lydia, Claire\"\ne32570,2019/08/15,in the late afternoon,35,\"Piper, Eva\"\ne32576,2019/08/16,late in the evening,22,Layla\ne32577,2019/08/16,in the morning,22,\"Kinsley, Layla, Nora\"\ne32578,2019/08/16,in the early evening,40,Claire\ne32579,2019/08/16,in the early afternoon,27,Claire\ne32586,2019/08/17,during lunch hours,5,\"Avery, Piper\"\ne32587,2019/08/17,in the early evening,37,\"Olivia, Nora\"\ne32588,2019/08/17,late in the evening,27,\"Hazel, Nora\"\ne32589,2019/08/17,in the late afternoon,32,\"Piper, Kinsley\"\ne32596,2019/08/18,in the morning,17,Hazel\ne32597,2019/08/18,in the morning,7,Kinsley\ne32598,2019/08/18,in the late afternoon,33,\"Claire, Eva, Hazel\"\ne32605,2019/08/19,during lunch hours,24,Claire\ne32606,2019/08/19,in the early evening,51,\"Nora, Claire\"\ne32607,2019/08/19,in the late afternoon,48,\"Avery, Layla, Lydia\"\ne32608,2019/08/19,in the early afternoon,47,Piper\ne32615,2019/08/20,in the early evening,15,\"Piper, Olivia, Nevaeh\"\ne32616,2019/08/20,in the morning,46,\"Claire, Kinsley\"\ne32617,2019/08/20,in the late afternoon,40,\"Nora, Piper\"\ne32623,2019/08/21,during lunch hours,46,\"Kinsley, Lydia, Olivia\"\ne32624,2019/08/21,in the morning,38,Rylee\ne32625,2019/08/21,during lunch hours,28,\"Hazel, Nevaeh, Layla, Kinsley\"\ne32632,2019/08/22,in the early evening,32,Kinsley\ne32633,2019/08/22,during lunch hours,8,\"Layla, Nevaeh, Piper, Nora\"\ne32639,2019/08/23,in the early afternoon,26,Layla\ne32640,2019/08/23,in the early afternoon,31,\"Piper, Nora, Nevaeh\"\ne32641,2019/08/23,late in the evening,42,\"Nora, Piper, Rylee\"\ne32648,2019/08/24,during lunch hours,14,\"Avery, Nevaeh, Kinsley\"\ne32649,2019/08/24,in the late afternoon,12,\"Claire, Rylee, Olivia\"\ne32655,2019/08/25,late in the evening,14,Layla\ne32656,2019/08/25,late in the evening,32,Nora\ne32657,2019/08/25,in the early evening,18,\"Eva, Olivia\"\ne32664,2019/08/26,in the morning,6,Layla\ne32665,2019/08/26,late in the evening,51,\"Olivia, Avery, Claire\"\ne32666,2019/08/26,in the morning,30,\"Lydia, Hazel, Piper, Olivia\"\ne32667,2019/08/26,in the morning,29,\"Eva, Lydia, Avery, Layla\"\ne32674,2019/08/27,during lunch hours,16,\"Claire, Lydia, Nevaeh, Piper\"\ne32675,2019/08/27,in the late afternoon,9,\"Piper, Layla\"\ne32682,2019/08/28,in the morning,33,\"Eva, Piper, Nevaeh\"\ne32683,2019/08/28,in the morning,17,Rylee\ne32684,2019/08/28,in the early evening,30,\"Hazel, Avery\"\ne32691,2019/08/29,during lunch hours,28,\"Claire, Rylee\"\ne32692,2019/08/29,in the late afternoon,44,\"Eva, Piper, Nora, Piper\"\ne32699,2019/08/30,in the late afternoon,35,\"Piper, Kinsley, Claire\"\ne32700,2019/08/30,late in the evening,17,\"Eva, Hazel, Avery, Nevaeh\"\ne32707,2019/08/31,late in the evening,10,\"Olivia, Piper, Avery, Claire\"\ne32708,2019/08/31,in the early evening,7,\"Nora, Piper, Piper, Kinsley\"\ne32709,2019/08/31,late in the evening,18,\"Nevaeh, Piper\"\ne32710,2019/08/31,in the late afternoon,47,\"Nora, Nevaeh, Piper, Olivia\"\ne32717,2019/09/01,late in the evening,33,\"Lydia, Kinsley, Eva, Avery\"\ne32718,2019/09/01,late in the evening,26,\"Layla, Kinsley\"\ne32719,2019/09/01,during lunch hours,41,\"Olivia, Claire\"\ne32726,2019/09/02,during lunch hours,27,\"Kinsley, Lydia, Claire, Nevaeh\"\ne32727,2019/09/02,in the late afternoon,18,\"Avery, Hazel, Rylee, Layla\"\ne32728,2019/09/02,in the late afternoon,39,\"Olivia, Layla, Nevaeh\"\ne32729,2019/09/02,in the morning,38,\"Claire, Piper, Lydia, Nora\"\ne32736,2019/09/03,in the late afternoon,13,\"Claire, Rylee, Kinsley\"\ne32737,2019/09/03,in the morning,29,\"Kinsley, Hazel, Lydia, Nora\"\ne32738,2019/09/03,late in the evening,28,\"Kinsley, Lydia, Piper\"\ne32744,2019/09/04,late in the evening,5,Nevaeh\ne32745,2019/09/04,during lunch hours,53,\"Layla, Piper, Kinsley, Lydia\"\ne32746,2019/09/04,in the early afternoon,31,\"Nevaeh, Avery, Olivia\"\ne32747,2019/09/04,in the early evening,9,\"Olivia, Hazel\"\ne32753,2019/09/05,during lunch hours,48,Claire\ne32754,2019/09/05,during lunch hours,43,\"Rylee, Nevaeh, Layla\"\ne32761,2019/09/06,during lunch hours,30,Piper\ne32762,2019/09/06,during lunch hours,29,\"Olivia, Layla, Lydia\"\ne32763,2019/09/06,in the early afternoon,8,Nora\ne32770,2019/09/07,in the morning,32,\"Piper, Layla, Kinsley\"\ne32771,2019/09/07,in the early afternoon,46,\"Claire, Layla, Kinsley\"\ne32778,2019/09/08,during lunch hours,46,Rylee\ne32779,2019/09/08,late in the evening,41,\"Eva, Hazel, Avery\"\ne32786,2019/09/09,in the morning,32,\"Eva, Rylee, Olivia, Piper\"\ne32787,2019/09/09,during lunch hours,41,Layla\ne32788,2019/09/09,in the early evening,34,\"Hazel, Olivia\"\ne32789,2019/09/09,during lunch hours,6,\"Rylee, Olivia, Layla\"\ne32796,2019/09/10,in the morning,8,Olivia\ne32797,2019/09/10,during lunch hours,48,\"Avery, Kinsley\"\ne32798,2019/09/10,in the late afternoon,20,\"Rylee, Nevaeh\"\ne32805,2019/09/11,during lunch hours,29,\"Nora, Claire, Eva\"\ne32806,2019/09/11,in the early evening,14,\"Piper, Olivia, Nora\"\ne32807,2019/09/11,during lunch hours,13,\"Rylee, Kinsley, Layla, Olivia\"\ne32808,2019/09/11,in the early evening,8,\"Nora, Hazel, Piper, Avery\"\ne32815,2019/09/12,late in the evening,22,Hazel\ne32816,2019/09/12,late in the evening,41,Kinsley\ne32817,2019/09/12,in the morning,31,\"Layla, Nevaeh, Olivia, Piper\"\ne32824,2019/09/13,in the late afternoon,49,Piper\ne32825,2019/09/13,late in the evening,28,\"Lydia, Rylee\"\ne32826,2019/09/13,in the morning,46,\"Olivia, Nevaeh\"\ne32827,2019/09/13,late in the evening,23,Piper\ne32834,2019/09/14,in the early afternoon,45,\"Rylee, Piper\"\ne32835,2019/09/14,in the early afternoon,51,\"Hazel, Olivia\"\ne32836,2019/09/14,in the early evening,55,\"Rylee, Claire\"\ne32837,2019/09/14,late in the evening,45,\"Claire, Layla\"\ne32844,2019/09/15,in the early evening,34,\"Kinsley, Eva, Rylee, Claire\"\ne32845,2019/09/15,in the late afternoon,55,Layla\ne32846,2019/09/15,in the early evening,8,Kinsley\ne32847,2019/09/15,in the late afternoon,31,Nora\ne32854,2019/09/16,in the late afternoon,49,\"Nora, Lydia, Nevaeh, Hazel\"\ne32855,2019/09/16,during lunch hours,38,\"Piper, Eva, Piper\"\ne32862,2019/09/17,in the early evening,33,\"Rylee, Kinsley, Eva, Lydia\"\ne32863,2019/09/17,late in the evening,6,Piper\ne32864,2019/09/17,in the early evening,13,\"Avery, Nora, Kinsley, Claire\"\ne32871,2019/09/18,in the early afternoon,28,\"Eva, Avery, Nora\"\ne32872,2019/09/18,during lunch hours,44,\"Olivia, Rylee, Nevaeh\"\ne32873,2019/09/18,in the early evening,51,\"Piper, Rylee, Claire\"\ne32874,2019/09/18,in the late afternoon,54,\"Layla, Nevaeh, Kinsley\"\ne32881,2019/09/19,in the early evening,41,Nora\ne32882,2019/09/19,late in the evening,17,\"Layla, Piper, Piper, Hazel\"\ne32883,2019/09/19,during lunch hours,37,Eva\ne32890,2019/09/20,late in the evening,22,Layla\ne32891,2019/09/20,late in the evening,44,\"Nora, Claire, Kinsley\"\ne32892,2019/09/20,in the late afternoon,14,\"Olivia, Layla, Piper, Nora\"\ne32899,2019/09/21,in the late afternoon,37,Nevaeh\ne32900,2019/09/21,late in the evening,29,Eva\ne32901,2019/09/21,in the morning,38,\"Piper, Nora, Avery\"\ne32902,2019/09/21,during lunch hours,7,\"Piper, Piper, Lydia, Avery\"\ne32909,2019/09/22,during lunch hours,5,\"Kinsley, Olivia\"\ne32910,2019/09/22,in the late afternoon,49,\"Lydia, Piper\"\ne32917,2019/09/23,during lunch hours,8,Hazel\ne32918,2019/09/23,in the late afternoon,21,\"Piper, Eva\"\ne32919,2019/09/23,in the morning,23,\"Piper, Piper, Lydia, Olivia\"\ne32920,2019/09/23,in the early afternoon,22,Piper\ne32926,2019/09/24,during lunch hours,35,Claire\ne32927,2019/09/24,in the early afternoon,33,\"Nora, Eva, Layla, Hazel\"\ne32928,2019/09/24,in the morning,6,\"Nevaeh, Lydia, Piper\"\ne32935,2019/09/25,in the early evening,54,\"Eva, Piper, Claire, Nora\"\ne32936,2019/09/25,late in the evening,51,\"Nora, Avery, Kinsley, Rylee\"\ne32937,2019/09/25,in the late afternoon,50,\"Avery, Piper, Nevaeh\"\ne32944,2019/09/26,in the morning,24,\"Nevaeh, Avery\"\ne32945,2019/09/26,in the late afternoon,13,\"Piper, Eva, Nora\"\ne32946,2019/09/26,in the morning,35,\"Nevaeh, Hazel\"\ne32947,2019/09/26,in the morning,55,\"Rylee, Avery, Lydia\"\ne32954,2019/09/27,in the late afternoon,13,Avery\ne32955,2019/09/27,in the late afternoon,11,\"Rylee, Piper\"\ne32956,2019/09/27,in the early evening,49,\"Eva, Hazel, Nevaeh, Piper\"\ne32963,2019/09/28,in the early afternoon,12,\"Lydia, Avery\"\ne32964,2019/09/28,late in the evening,15,\"Layla, Claire, Nora\"\ne32965,2019/09/28,during lunch hours,14,\"Eva, Kinsley, Lydia\"\ne32972,2019/09/29,late in the evening,8,\"Lydia, Nora\"\ne32973,2019/09/29,late in the evening,38,\"Layla, Lydia\"\ne32980,2019/09/30,in the morning,27,\"Piper, Avery, Olivia\"\ne32981,2019/09/30,in the early evening,36,\"Hazel, Eva\"\ne32982,2019/09/30,in the early evening,12,\"Olivia, Eva\"\ne32989,2019/10/01,during lunch hours,36,\"Nora, Avery, Hazel\"\ne32990,2019/10/01,in the morning,18,\"Piper, Avery, Olivia\"\ne32991,2019/10/01,in the late afternoon,11,Eva\ne32992,2019/10/01,during lunch hours,47,\"Kinsley, Lydia, Piper, Layla\"\ne32999,2019/10/02,during lunch hours,17,\"Nora, Piper, Hazel, Eva\"\ne33000,2019/10/02,during lunch hours,15,\"Rylee, Kinsley\"\ne33001,2019/10/02,in the early afternoon,40,\"Eva, Lydia\"\ne33008,2019/10/03,in the early afternoon,5,\"Eva, Layla\"\ne33009,2019/10/03,in the morning,11,\"Olivia, Hazel, Nora\"\ne33010,2019/10/03,during lunch hours,25,\"Rylee, Eva, Claire\"\ne33011,2019/10/03,in the early afternoon,10,\"Kinsley, Avery, Lydia\"\ne33018,2019/10/04,in the early evening,24,\"Claire, Nora\"\ne33019,2019/10/04,in the early evening,11,\"Nora, Piper\"\ne33020,2019/10/04,in the early afternoon,43,\"Nora, Lydia\"\ne33027,2019/10/05,in the early afternoon,54,\"Piper, Piper\"\ne33028,2019/10/05,late in the evening,7,\"Nevaeh, Layla\"\ne33029,2019/10/05,in the early evening,23,Hazel\ne33036,2019/10/06,in the early afternoon,6,\"Rylee, Nevaeh\"\ne33037,2019/10/06,in the early evening,7,Lydia\ne33044,2019/10/07,in the morning,41,\"Piper, Eva\"\ne33045,2019/10/07,in the early afternoon,25,\"Avery, Piper, Claire, Eva\"\ne33046,2019/10/07,during lunch hours,12,\"Eva, Nevaeh, Rylee, Hazel\"\ne33053,2019/10/08,during lunch hours,43,\"Rylee, Olivia, Hazel\"\ne33054,2019/10/08,in the morning,43,Piper\ne33055,2019/10/08,in the morning,25,\"Claire, Kinsley\"\ne33062,2019/10/09,in the morning,37,\"Lydia, Olivia, Rylee\"\ne33063,2019/10/09,in the early afternoon,30,Lydia\ne33064,2019/10/09,during lunch hours,6,\"Eva, Piper, Hazel\"\ne33071,2019/10/10,late in the evening,30,\"Piper, Claire, Lydia\"\ne33078,2019/10/11,in the early evening,11,Layla\ne33079,2019/10/11,in the late afternoon,45,\"Rylee, Nora, Kinsley\"\ne33080,2019/10/11,in the early evening,21,\"Rylee, Layla\"\ne33087,2019/10/12,in the morning,21,\"Nora, Avery, Claire, Hazel\"\ne33088,2019/10/12,during lunch hours,50,\"Avery, Kinsley, Claire\"\ne33089,2019/10/12,late in the evening,29,\"Layla, Piper, Hazel\"\ne33090,2019/10/12,during lunch hours,53,\"Layla, Olivia, Avery\"\ne33097,2019/10/13,in the late afternoon,25,Olivia\ne33104,2019/10/14,in the early afternoon,16,\"Rylee, Kinsley, Layla, Olivia\"\ne33105,2019/10/14,in the early afternoon,50,\"Olivia, Layla, Claire\"\ne33106,2019/10/14,in the early evening,19,Piper\ne33113,2019/10/15,in the morning,51,\"Avery, Layla, Piper\"\ne33114,2019/10/15,in the morning,51,\"Nevaeh, Layla, Rylee, Hazel\"\ne33115,2019/10/15,in the early evening,48,Eva\ne33122,2019/10/16,during lunch hours,38,\"Avery, Nevaeh, Layla\"\ne33129,2019/10/17,late in the evening,46,\"Lydia, Avery\"\ne33130,2019/10/17,during lunch hours,53,Olivia\ne33137,2019/10/18,during lunch hours,39,\"Olivia, Layla, Piper, Hazel\"\ne33138,2019/10/18,in the early afternoon,19,\"Rylee, Kinsley, Piper, Avery\"\ne33139,2019/10/18,in the early evening,9,\"Kinsley, Avery, Lydia, Claire\"\ne33146,2019/10/19,late in the evening,19,\"Piper, Kinsley\"\ne33147,2019/10/19,in the early evening,5,\"Nora, Lydia, Layla, Avery\"\ne33148,2019/10/19,in the early afternoon,8,Hazel\ne33149,2019/10/19,in the early evening,36,\"Claire, Olivia, Kinsley\"\ne33156,2019/10/20,during lunch hours,18,Nevaeh\ne33157,2019/10/20,in the early evening,44,\"Olivia, Piper, Avery, Claire\"\ne33158,2019/10/20,late in the evening,43,\"Eva, Layla, Nevaeh, Lydia\"\ne33165,2019/10/21,in the early afternoon,38,Nevaeh\ne33166,2019/10/21,in the early afternoon,12,Eva\ne33173,2019/10/22,during lunch hours,31,\"Claire, Piper, Rylee\"\ne33174,2019/10/22,during lunch hours,51,\"Hazel, Layla, Avery, Eva\"\ne33181,2019/10/23,in the morning,37,\"Lydia, Eva, Olivia, Rylee\"\ne33182,2019/10/23,in the early afternoon,46,\"Avery, Lydia\"\ne33189,2019/10/24,in the morning,26,\"Hazel, Olivia\"\ne33190,2019/10/24,in the early evening,44,\"Lydia, Rylee\"\ne33191,2019/10/24,in the early evening,39,\"Piper, Olivia, Piper\"\ne33198,2019/10/25,in the late afternoon,23,\"Kinsley, Nora, Avery\"\ne33199,2019/10/25,in the late afternoon,36,\"Piper, Nora, Claire\"\ne33206,2019/10/26,late in the evening,38,Hazel\ne33207,2019/10/26,in the morning,18,\"Avery, Layla\"\ne33208,2019/10/26,in the early afternoon,22,\"Piper, Piper, Nevaeh, Nora\"\ne33215,2019/10/27,during lunch hours,24,Rylee\ne33216,2019/10/27,in the early afternoon,16,\"Lydia, Avery\"\ne33217,2019/10/27,in the morning,48,\"Kinsley, Piper\"\ne33218,2019/10/27,in the morning,18,\"Rylee, Claire, Kinsley\"\ne33225,2019/10/28,late in the evening,51,\"Piper, Rylee\"\ne33226,2019/10/28,in the early evening,26,\"Hazel, Avery, Nevaeh\"\ne33227,2019/10/28,in the morning,21,\"Lydia, Rylee, Kinsley, Piper\"\ne33234,2019/10/29,in the morning,35,\"Layla, Hazel, Rylee\"\ne33235,2019/10/29,during lunch hours,52,Layla\ne33242,2019/10/30,in the late afternoon,14,\"Nevaeh, Avery, Piper\"\ne33243,2019/10/30,in the early afternoon,33,Piper\ne33244,2019/10/30,in the morning,41,Nevaeh\ne33251,2019/10/31,in the early afternoon,14,\"Nevaeh, Rylee, Avery, Piper\"\ne33252,2019/10/31,in the early afternoon,17,\"Olivia, Nevaeh, Kinsley, Nora\"\ne33253,2019/10/31,in the early afternoon,36,Layla\ne33260,2019/11/01,in the early evening,42,\"Rylee, Claire, Eva, Layla\"\ne33261,2019/11/01,in the early afternoon,16,Nora\ne33262,2019/11/01,in the early evening,32,\"Nora, Lydia, Piper, Piper\"\ne33269,2019/11/02,during lunch hours,21,\"Piper, Piper, Hazel\"\ne33270,2019/11/02,in the morning,28,\"Piper, Nevaeh, Rylee\"\ne33271,2019/11/02,in the early evening,39,\"Nevaeh, Eva, Layla\"\ne33278,2019/11/03,during lunch hours,24,Kinsley\ne33279,2019/11/03,in the early evening,49,\"Claire, Olivia, Hazel\"\ne33280,2019/11/03,in the early afternoon,53,\"Rylee, Kinsley, Nevaeh\"\ne33287,2019/11/04,in the late afternoon,46,\"Hazel, Eva\"\ne33288,2019/11/04,in the early afternoon,23,Avery\ne33289,2019/11/04,in the early evening,34,\"Rylee, Hazel\"\ne33296,2019/11/05,in the late afternoon,39,\"Rylee, Layla\"\ne33297,2019/11/05,in the morning,24,\"Nevaeh, Layla\"\ne33304,2019/11/06,during lunch hours,13,\"Avery, Eva, Piper\"\ne33305,2019/11/06,during lunch hours,11,\"Olivia, Lydia\"\ne33312,2019/11/07,in the early evening,27,Olivia\ne33313,2019/11/07,in the early afternoon,44,\"Nevaeh, Olivia, Rylee\"\ne33314,2019/11/07,in the early afternoon,53,Piper\ne33315,2019/11/07,in the early afternoon,24,Olivia\ne33322,2019/11/08,late in the evening,29,\"Kinsley, Piper\"\ne33323,2019/11/08,in the morning,21,Hazel\ne33324,2019/11/08,in the late afternoon,21,\"Eva, Lydia\"\ne33331,2019/11/09,in the late afternoon,36,\"Rylee, Claire, Layla, Hazel\"\ne33332,2019/11/09,during lunch hours,38,\"Hazel, Lydia\"\ne33333,2019/11/09,during lunch hours,9,Piper\ne33340,2019/11/10,during lunch hours,22,Olivia\ne33341,2019/11/10,in the early afternoon,36,\"Nevaeh, Olivia\"\ne33348,2019/11/11,in the early afternoon,41,\"Olivia, Piper, Layla\"\ne33349,2019/11/11,during lunch hours,50,Piper\ne33350,2019/11/11,in the early afternoon,31,\"Claire, Avery\"\ne33357,2019/11/12,in the early afternoon,52,\"Piper, Claire, Olivia, Nora\"\ne33358,2019/11/12,during lunch hours,36,Avery\ne33365,2019/11/13,in the late afternoon,13,Piper\ne33366,2019/11/13,in the early afternoon,22,\"Nora, Eva, Lydia, Nevaeh\"\ne33367,2019/11/13,late in the evening,16,Hazel\ne33368,2019/11/13,in the morning,13,\"Nora, Olivia, Piper, Avery\"\ne33375,2019/11/14,late in the evening,17,\"Piper, Olivia\"\ne33376,2019/11/14,in the early evening,33,\"Piper, Hazel, Eva\"\ne33377,2019/11/14,late in the evening,16,\"Piper, Lydia, Eva\"\ne33384,2019/11/15,late in the evening,53,Piper\ne33385,2019/11/15,in the late afternoon,52,Eva\ne33392,2019/11/16,in the morning,46,\"Layla, Piper, Avery, Hazel\"\ne33393,2019/11/16,during lunch hours,5,\"Rylee, Nevaeh, Layla, Kinsley\"\ne33394,2019/11/16,in the early afternoon,55,\"Hazel, Rylee, Layla\"\ne33401,2019/11/17,in the early afternoon,21,Olivia\ne33402,2019/11/17,in the morning,47,\"Olivia, Layla\"\ne33403,2019/11/17,late in the evening,32,Layla\ne33410,2019/11/18,late in the evening,26,\"Nora, Nevaeh, Lydia, Kinsley\"\ne33411,2019/11/18,in the early evening,19,\"Kinsley, Claire, Eva, Rylee\"\ne33412,2019/11/18,in the late afternoon,49,\"Lydia, Nevaeh, Nora, Rylee\"\ne33413,2019/11/18,in the early evening,21,\"Lydia, Claire, Piper\"\ne33420,2019/11/19,in the early evening,40,Layla\ne33421,2019/11/19,during lunch hours,15,Avery\ne33422,2019/11/19,in the early evening,43,Nora\ne33429,2019/11/20,in the early afternoon,9,Kinsley\ne33430,2019/11/20,in the late afternoon,15,\"Avery, Claire, Kinsley\"\ne33431,2019/11/20,during lunch hours,40,Eva\ne33438,2019/11/21,in the early evening,23,Nora\ne33439,2019/11/21,in the early evening,43,Claire\ne33446,2019/11/22,in the early afternoon,25,\"Lydia, Hazel, Kinsley\"\ne33447,2019/11/22,in the late afternoon,33,Hazel\ne33453,2019/11/23,in the morning,19,\"Nora, Eva, Layla, Hazel\"\ne33460,2019/11/24,in the early afternoon,27,Layla\ne33461,2019/11/24,in the morning,47,\"Nora, Hazel, Eva\"\ne33467,2019/11/25,during lunch hours,6,\"Layla, Piper, Rylee, Avery\"\ne33468,2019/11/25,in the early evening,19,Hazel\ne33469,2019/11/25,in the late afternoon,35,\"Layla, Piper\"\ne33470,2019/11/25,late in the evening,38,\"Rylee, Lydia\"\ne33477,2019/11/26,late in the evening,43,Hazel\ne33478,2019/11/26,late in the evening,49,\"Piper, Olivia, Piper, Hazel\"\ne33485,2019/11/27,during lunch hours,33,Olivia\ne33486,2019/11/27,in the early evening,16,\"Olivia, Kinsley\"\ne33487,2019/11/27,during lunch hours,27,\"Hazel, Lydia, Rylee\"\ne33493,2019/11/28,late in the evening,54,\"Olivia, Nevaeh, Rylee\"\ne33494,2019/11/28,in the early afternoon,32,\"Avery, Layla, Hazel\"\ne33495,2019/11/28,during lunch hours,47,\"Lydia, Layla, Nevaeh\"\ne33502,2019/11/29,late in the evening,16,\"Layla, Lydia, Kinsley\"\ne33503,2019/11/29,in the early evening,44,\"Rylee, Eva, Nevaeh, Kinsley\"\ne33510,2019/11/30,in the late afternoon,48,\"Rylee, Olivia, Claire, Eva\"\ne33511,2019/11/30,in the late afternoon,25,\"Hazel, Claire, Kinsley, Olivia\"\ne33512,2019/11/30,in the early evening,47,\"Rylee, Layla, Avery\"\ne33513,2019/11/30,in the early evening,44,\"Layla, Rylee, Lydia, Nevaeh\"\ne33520,2019/12/01,late in the evening,31,Layla\ne33521,2019/12/01,during lunch hours,5,\"Piper, Kinsley\"\ne33527,2019/12/02,during lunch hours,40,Nevaeh\ne33528,2019/12/02,during lunch hours,18,\"Piper, Eva, Hazel, Kinsley\"\ne33529,2019/12/02,in the late afternoon,14,\"Eva, Lydia, Nevaeh\"\ne33536,2019/12/03,in the early afternoon,55,Piper\ne33537,2019/12/03,late in the evening,19,\"Claire, Piper, Avery, Nora\"\ne33538,2019/12/03,in the early evening,44,\"Layla, Piper, Nevaeh\"\ne33545,2019/12/04,in the late afternoon,34,Nora\ne33552,2019/12/05,in the morning,20,\"Piper, Kinsley, Avery\"\ne33553,2019/12/05,during lunch hours,41,\"Nevaeh, Piper, Kinsley\"\ne33554,2019/12/05,in the early afternoon,48,Claire\ne33555,2019/12/05,in the early evening,32,\"Eva, Layla\"\ne33562,2019/12/06,during lunch hours,29,\"Claire, Avery\"\ne33563,2019/12/06,in the morning,26,Piper\ne33564,2019/12/06,during lunch hours,49,\"Rylee, Eva, Claire, Nora\"\ne33571,2019/12/07,in the late afternoon,33,\"Avery, Rylee, Olivia, Eva\"\ne33572,2019/12/07,in the early evening,43,Olivia\ne33579,2019/12/08,in the morning,13,Nora\ne33580,2019/12/08,late in the evening,16,Nevaeh\ne33581,2019/12/08,in the morning,42,\"Lydia, Eva\"\ne33588,2019/12/09,in the morning,16,\"Layla, Hazel, Rylee\"\ne33589,2019/12/09,late in the evening,28,\"Nora, Kinsley, Nevaeh, Piper\"\ne33596,2019/12/10,in the early afternoon,10,\"Avery, Layla, Piper\"\ne33597,2019/12/10,in the late afternoon,17,\"Eva, Claire, Avery\"\ne33598,2019/12/10,in the early evening,25,Layla\ne33599,2019/12/10,in the late afternoon,18,Nora\ne33606,2019/12/11,in the morning,18,\"Eva, Nora, Nevaeh, Piper\"\ne33607,2019/12/11,in the early afternoon,20,Claire\ne33614,2019/12/12,late in the evening,47,Olivia\ne33615,2019/12/12,late in the evening,42,\"Hazel, Rylee, Layla, Piper\"\ne33622,2019/12/13,in the morning,18,\"Eva, Layla, Nora\"\ne33623,2019/12/13,in the late afternoon,49,\"Nevaeh, Piper\"\ne33630,2019/12/14,during lunch hours,16,\"Lydia, Kinsley, Rylee\"\ne33631,2019/12/14,in the early evening,13,Nevaeh\ne33638,2019/12/15,during lunch hours,52,\"Avery, Claire, Kinsley\"\ne33639,2019/12/15,in the late afternoon,33,Piper\ne33640,2019/12/15,late in the evening,23,\"Layla, Piper, Rylee\"\ne33647,2019/12/16,during lunch hours,11,\"Eva, Layla\"\ne33648,2019/12/16,late in the evening,26,\"Hazel, Claire, Olivia\"\ne33649,2019/12/16,in the late afternoon,33,Piper\ne33656,2019/12/17,in the late afternoon,38,\"Piper, Nora, Avery\"\ne33657,2019/12/17,in the early afternoon,35,\"Piper, Nevaeh\"\ne33664,2019/12/18,in the late afternoon,16,\"Claire, Rylee, Lydia\"\ne33665,2019/12/18,late in the evening,42,\"Claire, Layla, Lydia\"\ne33672,2019/12/19,in the early evening,23,\"Layla, Piper, Claire, Nora\"\ne33673,2019/12/19,in the early evening,22,\"Eva, Nora, Lydia, Piper\"\ne33680,2019/12/20,during lunch hours,37,\"Nora, Piper\"\ne33681,2019/12/20,in the late afternoon,26,\"Lydia, Nora, Piper, Avery\"\ne33682,2019/12/20,in the late afternoon,47,Nevaeh\ne33689,2019/12/21,in the early afternoon,50,\"Nora, Kinsley\"\ne33690,2019/12/21,in the late afternoon,43,Kinsley\ne33691,2019/12/21,in the early afternoon,33,\"Nevaeh, Avery, Layla\"\ne33698,2019/12/22,during lunch hours,45,Kinsley\ne33699,2019/12/22,in the late afternoon,23,\"Avery, Piper\"\ne33700,2019/12/22,in the morning,18,Rylee\ne33701,2019/12/22,late in the evening,22,\"Hazel, Piper, Avery, Nevaeh\"\ne33708,2019/12/23,in the morning,27,\"Piper, Rylee, Claire\"\ne33709,2019/12/23,in the late afternoon,5,Lydia\ne33710,2019/12/23,in the late afternoon,15,\"Kinsley, Piper, Avery\"\ne33711,2019/12/23,late in the evening,8,\"Piper, Rylee, Nevaeh, Hazel\"\ne33718,2019/12/24,in the early afternoon,44,\"Olivia, Piper\"\ne33719,2019/12/24,in the late afternoon,19,Layla\ne33720,2019/12/24,during lunch hours,45,\"Claire, Piper, Layla, Rylee\"\ne33727,2019/12/25,in the early evening,18,Kinsley\ne33728,2019/12/25,in the early afternoon,52,\"Eva, Avery\"\ne33729,2019/12/25,in the morning,45,Olivia\ne33736,2019/12/26,during lunch hours,18,\"Lydia, Avery, Nora, Claire\"\ne33737,2019/12/26,in the morning,22,\"Lydia, Hazel\"\ne33738,2019/12/26,in the morning,27,\"Kinsley, Nevaeh, Rylee\"\ne33745,2019/12/27,late in the evening,25,\"Nevaeh, Piper, Rylee\"\ne33746,2019/12/27,in the early evening,30,\"Lydia, Eva, Nora, Hazel\"\ne33747,2019/12/27,in the early evening,9,\"Avery, Layla\"\ne33748,2019/12/27,in the early afternoon,22,\"Nora, Nevaeh, Lydia\"\ne33755,2019/12/28,in the early afternoon,21,\"Layla, Hazel, Nevaeh, Avery\"\ne33756,2019/12/28,during lunch hours,31,Hazel\ne33757,2019/12/28,in the late afternoon,38,\"Lydia, Rylee, Piper\"\ne33764,2019/12/29,in the late afternoon,36,\"Olivia, Hazel\"\ne33765,2019/12/29,during lunch hours,54,\"Avery, Layla\"\ne33771,2019/12/30,in the morning,20,Eva\ne33778,2019/12/31,in the morning,15,Olivia\ne33779,2019/12/31,in the early afternoon,51,\"Claire, Hazel, Olivia, Piper\"\ne33780,2019/12/31,in the late afternoon,8,\"Piper, Nora, Avery, Eva\"\ne34010,2020/01/01,late in the evening,8,\"Hazel, Nora, Olivia, Nevaeh\"\ne34011,2020/01/01,late in the evening,12,Avery\ne34012,2020/01/01,late in the evening,15,\"Piper, Claire, Rylee, Layla\"\ne34013,2020/01/01,in the late afternoon,42,\"Hazel, Rylee\"\ne34020,2020/01/02,in the early evening,9,\"Rylee, Nora, Lydia\"\ne34021,2020/01/02,in the late afternoon,51,Lydia\ne34022,2020/01/02,in the early evening,35,\"Lydia, Kinsley, Layla\"\ne34023,2020/01/02,during lunch hours,43,Layla\ne34030,2020/01/03,late in the evening,55,Rylee\ne34031,2020/01/03,in the early afternoon,5,\"Lydia, Piper\"\ne34032,2020/01/03,in the early afternoon,37,\"Rylee, Piper, Claire\"\ne34039,2020/01/04,in the early afternoon,38,\"Olivia, Avery, Layla\"\ne34040,2020/01/04,during lunch hours,24,Piper\ne34041,2020/01/04,during lunch hours,28,Nevaeh\ne34048,2020/01/05,in the early evening,35,Lydia\ne34049,2020/01/05,late in the evening,12,\"Lydia, Avery, Eva\"\ne34050,2020/01/05,late in the evening,27,Layla\ne34057,2020/01/06,in the late afternoon,13,\"Piper, Piper\"\ne34058,2020/01/06,in the late afternoon,49,\"Layla, Piper, Kinsley\"\ne34064,2020/01/07,during lunch hours,41,\"Nevaeh, Piper\"\ne34065,2020/01/07,during lunch hours,20,\"Eva, Nora, Claire\"\ne34072,2020/01/08,in the morning,40,Piper\ne34073,2020/01/08,in the late afternoon,51,\"Piper, Hazel, Olivia, Rylee\"\ne34074,2020/01/08,in the early evening,36,\"Claire, Nora\"\ne34081,2020/01/09,in the early evening,31,\"Olivia, Hazel\"\ne34082,2020/01/09,in the morning,48,\"Nevaeh, Claire\"\ne34089,2020/01/10,during lunch hours,25,\"Claire, Olivia, Eva\"\ne34090,2020/01/10,in the morning,53,\"Nevaeh, Hazel\"\ne34091,2020/01/10,during lunch hours,42,\"Avery, Claire\"\ne34098,2020/01/11,in the early evening,5,\"Lydia, Piper, Hazel, Nevaeh\"\ne34099,2020/01/11,in the early evening,52,Avery\ne34100,2020/01/11,in the early afternoon,23,\"Hazel, Avery, Rylee\"\ne34101,2020/01/11,late in the evening,49,\"Claire, Nevaeh, Avery, Hazel\"\ne34108,2020/01/12,in the late afternoon,46,\"Eva, Hazel\"\ne34109,2020/01/12,in the morning,15,\"Olivia, Avery, Rylee, Piper\"\ne34116,2020/01/13,during lunch hours,44,\"Nora, Avery\"\ne34117,2020/01/13,in the morning,13,\"Piper, Hazel\"\ne34118,2020/01/13,in the late afternoon,55,Rylee\ne34125,2020/01/14,in the morning,28,\"Nora, Piper\"\ne34126,2020/01/14,during lunch hours,14,\"Avery, Claire, Piper, Olivia\"\ne34127,2020/01/14,in the early afternoon,43,Olivia\ne34134,2020/01/15,in the morning,46,Piper\ne34135,2020/01/15,in the morning,40,\"Nora, Eva, Kinsley\"\ne34142,2020/01/16,in the morning,16,Eva\ne34143,2020/01/16,in the early evening,55,\"Olivia, Avery, Rylee, Layla\"\ne34150,2020/01/17,in the early evening,18,\"Nevaeh, Claire, Olivia\"\ne34151,2020/01/17,late in the evening,15,\"Rylee, Eva, Layla\"\ne34152,2020/01/17,in the late afternoon,50,\"Olivia, Piper, Claire\"\ne34153,2020/01/17,in the morning,32,\"Piper, Kinsley\"\ne34160,2020/01/18,in the morning,19,Layla\ne34161,2020/01/18,in the early afternoon,45,\"Hazel, Piper, Olivia, Lydia\"\ne34162,2020/01/18,in the late afternoon,13,Nora\ne34169,2020/01/19,in the early afternoon,34,Nora\ne34170,2020/01/19,in the late afternoon,51,\"Piper, Olivia\"\ne34171,2020/01/19,in the late afternoon,48,\"Olivia, Avery, Nevaeh\"\ne34172,2020/01/19,in the morning,5,\"Kinsley, Hazel, Lydia\"\ne34179,2020/01/20,in the early afternoon,8,\"Nora, Piper\"\ne34180,2020/01/20,in the morning,41,\"Layla, Kinsley\"\ne34181,2020/01/20,in the early evening,25,Claire\ne34182,2020/01/20,during lunch hours,7,\"Hazel, Olivia, Rylee, Kinsley\"\ne34189,2020/01/21,late in the evening,41,\"Layla, Piper, Lydia\"\ne34190,2020/01/21,during lunch hours,11,Kinsley\ne34191,2020/01/21,late in the evening,38,\"Hazel, Avery, Olivia, Lydia\"\ne34198,2020/01/22,in the late afternoon,23,\"Lydia, Rylee, Olivia, Eva\"\ne34199,2020/01/22,during lunch hours,25,\"Layla, Nevaeh\"\ne34206,2020/01/23,during lunch hours,7,\"Claire, Rylee\"\ne34207,2020/01/23,during lunch hours,13,Nora\ne34208,2020/01/23,during lunch hours,26,Piper\ne34215,2020/01/24,during lunch hours,16,\"Hazel, Nora\"\ne34216,2020/01/24,in the late afternoon,40,\"Eva, Hazel, Lydia, Kinsley\"\ne34217,2020/01/24,during lunch hours,11,Olivia\ne34224,2020/01/25,in the morning,5,\"Kinsley, Olivia\"\ne34225,2020/01/25,in the early evening,44,\"Rylee, Layla, Olivia\"\ne34226,2020/01/25,late in the evening,46,\"Olivia, Nora, Lydia, Piper\"\ne34227,2020/01/25,in the morning,26,\"Nora, Nevaeh\"\ne34234,2020/01/26,during lunch hours,14,\"Olivia, Rylee, Hazel\"\ne34235,2020/01/26,during lunch hours,7,\"Claire, Nora, Rylee\"\ne34236,2020/01/26,in the late afternoon,48,\"Piper, Nora, Nevaeh, Lydia\"\ne34237,2020/01/26,in the early evening,50,\"Piper, Rylee, Layla, Hazel\"\ne34244,2020/01/27,in the early evening,33,\"Olivia, Avery, Eva\"\ne34245,2020/01/27,during lunch hours,7,\"Hazel, Piper, Olivia\"\ne34252,2020/01/28,late in the evening,24,\"Nora, Kinsley\"\ne34253,2020/01/28,in the late afternoon,9,Lydia\ne34254,2020/01/28,late in the evening,55,Olivia\ne34255,2020/01/28,late in the evening,6,\"Nevaeh, Eva\"\ne34262,2020/01/29,during lunch hours,20,Hazel\ne34263,2020/01/29,late in the evening,25,\"Rylee, Nevaeh, Layla, Olivia\"\ne34264,2020/01/29,in the morning,26,\"Piper, Claire, Rylee, Piper\"\ne34265,2020/01/29,in the early evening,41,\"Kinsley, Rylee, Eva, Lydia\"\ne34272,2020/01/30,in the morning,23,\"Claire, Nora, Olivia, Piper\"\ne34273,2020/01/30,during lunch hours,19,\"Avery, Nora, Piper\"\ne34274,2020/01/30,late in the evening,43,\"Nevaeh, Claire, Rylee\"\ne34281,2020/01/31,in the late afternoon,39,Piper\ne34282,2020/01/31,in the early evening,39,\"Piper, Claire, Layla, Nora\"\ne34283,2020/01/31,during lunch hours,9,\"Lydia, Nora\"\ne34290,2020/02/01,in the morning,5,\"Eva, Nevaeh\"\ne34291,2020/02/01,in the late afternoon,22,\"Avery, Lydia, Claire\"\ne34292,2020/02/01,late in the evening,30,\"Piper, Olivia, Rylee\"\ne34299,2020/02/02,in the late afternoon,8,\"Hazel, Claire, Layla\"\ne34300,2020/02/02,in the morning,9,Kinsley\ne34301,2020/02/02,in the morning,42,\"Nevaeh, Hazel, Kinsley, Lydia\"\ne34302,2020/02/02,in the morning,6,\"Avery, Nora\"\ne34309,2020/02/03,during lunch hours,32,\"Rylee, Olivia\"\ne34310,2020/02/03,in the morning,7,\"Nevaeh, Avery, Lydia\"\ne34311,2020/02/03,during lunch hours,20,\"Claire, Nora, Rylee\"\ne34318,2020/02/04,in the morning,8,\"Kinsley, Lydia, Hazel, Piper\"\ne34319,2020/02/04,during lunch hours,19,\"Rylee, Eva\"\ne34320,2020/02/04,during lunch hours,17,Olivia\ne34321,2020/02/04,during lunch hours,26,\"Piper, Layla, Kinsley\"\ne34328,2020/02/05,during lunch hours,8,\"Nora, Olivia, Kinsley, Eva\"\ne34329,2020/02/05,in the morning,47,\"Eva, Layla, Piper\"\ne34336,2020/02/06,during lunch hours,5,Piper\ne34337,2020/02/06,in the morning,11,\"Claire, Avery\"\ne34338,2020/02/06,in the early afternoon,34,\"Avery, Lydia, Hazel\"\ne34345,2020/02/07,in the early afternoon,36,\"Layla, Hazel\"\ne34346,2020/02/07,in the early evening,10,Eva\ne34347,2020/02/07,in the early afternoon,54,\"Nevaeh, Avery, Kinsley\"\ne34348,2020/02/07,during lunch hours,48,\"Nevaeh, Hazel\"\ne34355,2020/02/08,in the late afternoon,33,Rylee\ne34356,2020/02/08,in the early evening,35,\"Avery, Olivia, Nora, Lydia\"\ne34357,2020/02/08,during lunch hours,11,\"Claire, Layla\"\ne34358,2020/02/08,late in the evening,9,\"Piper, Hazel, Avery, Layla\"\ne34365,2020/02/09,in the early evening,23,Rylee\ne34366,2020/02/09,in the early evening,23,\"Avery, Olivia, Hazel\"\ne34367,2020/02/09,late in the evening,32,\"Lydia, Piper\"\ne34374,2020/02/10,in the early afternoon,21,\"Eva, Layla\"\ne34375,2020/02/10,in the late afternoon,15,\"Claire, Olivia\"\ne34376,2020/02/10,in the early afternoon,19,\"Piper, Layla, Kinsley\"\ne34383,2020/02/11,in the morning,25,Hazel\ne34384,2020/02/11,late in the evening,15,Kinsley\ne34391,2020/02/12,in the morning,17,Nora\ne34392,2020/02/12,during lunch hours,8,\"Olivia, Rylee, Nora, Kinsley\"\ne34393,2020/02/12,in the early evening,11,\"Lydia, Rylee\"\ne34400,2020/02/13,in the early afternoon,20,\"Kinsley, Rylee, Claire, Piper\"\ne34401,2020/02/13,in the late afternoon,51,Nevaeh\ne34402,2020/02/13,in the late afternoon,47,\"Piper, Avery, Kinsley\"\ne34408,2020/02/14,in the late afternoon,48,\"Avery, Layla, Rylee, Nevaeh\"\ne34409,2020/02/14,in the late afternoon,47,\"Piper, Avery, Lydia\"\ne34416,2020/02/15,late in the evening,22,Rylee\ne34417,2020/02/15,in the early afternoon,19,\"Hazel, Avery, Eva, Piper\"\ne34418,2020/02/15,late in the evening,14,Piper\ne34419,2020/02/15,in the early evening,37,\"Piper, Layla, Claire, Piper\"\ne34426,2020/02/16,in the early afternoon,39,Kinsley\ne34427,2020/02/16,in the morning,48,\"Avery, Nevaeh\"\ne34434,2020/02/17,in the late afternoon,39,Nora\ne34435,2020/02/17,in the early evening,40,\"Nevaeh, Claire, Nora\"\ne34436,2020/02/17,during lunch hours,16,\"Olivia, Rylee, Piper\"\ne34443,2020/02/18,in the late afternoon,50,\"Nevaeh, Lydia, Rylee, Layla\"\ne34444,2020/02/18,during lunch hours,9,\"Kinsley, Hazel, Avery, Lydia\"\ne34445,2020/02/18,in the early afternoon,25,Rylee\ne34452,2020/02/19,in the morning,10,\"Nora, Hazel, Nevaeh\"\ne34453,2020/02/19,late in the evening,34,\"Layla, Olivia, Eva\"\ne34454,2020/02/19,in the early afternoon,35,\"Eva, Piper, Lydia\"\ne34460,2020/02/20,in the early afternoon,14,\"Nevaeh, Nora\"\ne34461,2020/02/20,in the late afternoon,51,\"Claire, Avery, Rylee\"\ne34462,2020/02/20,during lunch hours,54,\"Eva, Avery, Kinsley\"\ne34463,2020/02/20,during lunch hours,12,Piper\ne34470,2020/02/21,in the late afternoon,23,\"Nevaeh, Nora, Avery\"\ne34471,2020/02/21,in the early afternoon,32,Lydia\ne34472,2020/02/21,in the late afternoon,52,Nevaeh\ne34479,2020/02/22,late in the evening,38,Nevaeh\ne34480,2020/02/22,late in the evening,55,Lydia\ne34481,2020/02/22,in the late afternoon,50,\"Kinsley, Olivia\"\ne34487,2020/02/23,in the early afternoon,6,Olivia\ne34488,2020/02/23,late in the evening,25,\"Kinsley, Eva, Claire, Rylee\"\ne34489,2020/02/23,in the late afternoon,28,Piper\ne34496,2020/02/24,in the early afternoon,43,\"Claire, Avery, Nevaeh\"\ne34497,2020/02/24,in the morning,41,Lydia\ne34498,2020/02/24,in the morning,34,\"Nevaeh, Olivia\"\ne34504,2020/02/25,in the late afternoon,46,Nevaeh\ne34505,2020/02/25,in the early evening,26,\"Kinsley, Eva, Olivia, Rylee\"\ne34512,2020/02/26,in the late afternoon,34,\"Nora, Eva, Lydia\"\ne34513,2020/02/26,in the early afternoon,30,\"Avery, Piper\"\ne34514,2020/02/26,in the morning,27,Hazel\ne34515,2020/02/26,in the morning,19,\"Nevaeh, Nora, Piper\"\ne34522,2020/02/27,in the late afternoon,24,Claire\ne34523,2020/02/27,in the morning,18,\"Layla, Nora, Piper, Hazel\"\ne34524,2020/02/27,in the morning,12,\"Layla, Eva, Nevaeh\"\ne34525,2020/02/27,in the early evening,31,\"Nora, Kinsley, Claire, Rylee\"\ne34531,2020/02/28,in the morning,31,\"Avery, Piper, Nevaeh\"\ne34532,2020/02/28,in the early afternoon,31,\"Nora, Piper, Kinsley, Layla\"\ne34533,2020/02/28,late in the evening,34,\"Avery, Hazel, Kinsley\"\ne34540,2020/02/29,in the early afternoon,15,Claire\ne34541,2020/02/29,in the early evening,17,\"Hazel, Lydia\"\ne34548,2020/03/01,in the late afternoon,48,\"Layla, Nevaeh\"\ne34549,2020/03/01,during lunch hours,47,Kinsley\ne34550,2020/03/01,in the late afternoon,5,\"Nevaeh, Piper, Kinsley, Avery\"\ne34551,2020/03/01,late in the evening,44,Nora\ne34558,2020/03/02,in the early afternoon,39,Nora\ne34559,2020/03/02,in the early evening,47,Nevaeh\ne34560,2020/03/02,in the late afternoon,22,\"Piper, Piper, Eva\"\ne34567,2020/03/03,late in the evening,6,\"Claire, Piper, Hazel\"\ne34568,2020/03/03,late in the evening,46,Hazel\ne34569,2020/03/03,in the morning,29,\"Lydia, Piper, Kinsley, Claire\"\ne34576,2020/03/04,in the morning,18,\"Rylee, Piper, Lydia\"\ne34583,2020/03/05,late in the evening,23,Nevaeh\ne34584,2020/03/05,in the morning,10,\"Piper, Nevaeh\"\ne34591,2020/03/06,in the late afternoon,41,\"Piper, Rylee\"\ne34592,2020/03/06,in the early evening,38,\"Piper, Olivia\"\ne34593,2020/03/06,late in the evening,17,Piper\ne34594,2020/03/06,during lunch hours,48,\"Layla, Nevaeh, Avery, Olivia\"\ne34601,2020/03/07,in the morning,45,\"Lydia, Avery, Olivia\"\ne34602,2020/03/07,in the late afternoon,53,\"Piper, Piper\"\ne34603,2020/03/07,during lunch hours,49,\"Nora, Piper\"\ne34610,2020/03/08,during lunch hours,11,\"Layla, Avery, Rylee, Piper\"\ne34611,2020/03/08,in the early afternoon,28,\"Piper, Nora, Lydia\"\ne34612,2020/03/08,in the morning,30,\"Piper, Rylee\"\ne34619,2020/03/09,in the early evening,35,\"Rylee, Piper, Hazel, Olivia\"\ne34620,2020/03/09,during lunch hours,24,Nora\ne34621,2020/03/09,in the late afternoon,40,\"Nevaeh, Piper\"\ne34628,2020/03/10,during lunch hours,55,\"Claire, Piper, Avery, Rylee\"\ne34629,2020/03/10,in the early afternoon,49,\"Hazel, Avery, Layla\"\ne34630,2020/03/10,in the early evening,38,Hazel\ne34637,2020/03/11,during lunch hours,18,\"Lydia, Nevaeh, Claire, Piper\"\ne34638,2020/03/11,in the early afternoon,28,\"Rylee, Layla\"\ne34645,2020/03/12,during lunch hours,42,\"Lydia, Avery, Claire\"\ne34646,2020/03/12,in the late afternoon,27,\"Kinsley, Avery\"\ne34647,2020/03/12,late in the evening,5,Avery\ne34654,2020/03/13,in the early evening,18,\"Layla, Olivia, Kinsley\"\ne34655,2020/03/13,in the early afternoon,26,\"Nora, Layla, Lydia, Piper\"\ne34662,2020/03/14,in the morning,53,\"Kinsley, Rylee\"\ne34663,2020/03/14,in the early afternoon,43,\"Kinsley, Eva, Layla\"\ne34664,2020/03/14,during lunch hours,47,\"Claire, Olivia, Avery\"\ne34671,2020/03/15,in the early evening,27,\"Olivia, Hazel, Piper\"\ne34672,2020/03/15,during lunch hours,27,\"Lydia, Nora, Claire, Kinsley\"\ne34673,2020/03/15,in the late afternoon,42,\"Nora, Kinsley\"\ne34680,2020/03/16,late in the evening,35,\"Rylee, Olivia, Lydia, Nevaeh\"\ne34681,2020/03/16,in the early evening,10,Piper\ne34687,2020/03/17,in the late afternoon,13,\"Piper, Eva\"\ne34688,2020/03/17,in the early afternoon,34,\"Olivia, Nora, Piper\"\ne34695,2020/03/18,in the morning,41,Lydia\ne34696,2020/03/18,in the late afternoon,8,\"Claire, Layla, Nora, Hazel\"\ne34697,2020/03/18,in the late afternoon,18,\"Claire, Hazel\"\ne34698,2020/03/18,during lunch hours,7,\"Nora, Kinsley, Layla\"\ne34704,2020/03/19,late in the evening,40,Nora\ne34705,2020/03/19,late in the evening,17,\"Piper, Claire, Avery, Eva\"\ne34706,2020/03/19,in the late afternoon,22,Avery\ne34707,2020/03/19,in the morning,13,\"Nora, Layla, Kinsley, Piper\"\ne34714,2020/03/20,in the early afternoon,9,\"Eva, Nevaeh, Hazel\"\ne34715,2020/03/20,late in the evening,11,Piper\ne34722,2020/03/21,in the late afternoon,55,\"Claire, Olivia\"\ne34723,2020/03/21,in the early evening,10,\"Layla, Nora, Eva, Kinsley\"\ne34724,2020/03/21,in the early afternoon,31,Nevaeh\ne34731,2020/03/22,in the early afternoon,23,Nevaeh\ne34732,2020/03/22,during lunch hours,13,\"Claire, Nevaeh, Rylee\"\ne34733,2020/03/22,during lunch hours,9,Piper\ne34740,2020/03/23,late in the evening,21,\"Olivia, Eva, Piper, Hazel\"\ne34741,2020/03/23,in the early evening,37,Rylee\ne34748,2020/03/24,in the morning,24,\"Layla, Rylee, Piper, Hazel\"\ne34749,2020/03/24,late in the evening,5,Kinsley\ne34750,2020/03/24,in the early afternoon,19,\"Avery, Rylee\"\ne34751,2020/03/24,late in the evening,37,\"Kinsley, Olivia\"\ne34758,2020/03/25,in the early afternoon,7,\"Kinsley, Piper, Layla\"\ne34759,2020/03/25,in the early afternoon,48,Kinsley\ne34760,2020/03/25,late in the evening,26,Piper\ne34767,2020/03/26,late in the evening,18,\"Piper, Hazel, Avery, Eva\"\ne34768,2020/03/26,late in the evening,16,\"Eva, Kinsley\"\ne34775,2020/03/27,in the early evening,41,\"Hazel, Piper, Lydia, Rylee\"\ne34776,2020/03/27,in the late afternoon,39,Olivia\ne34783,2020/03/28,in the morning,41,\"Rylee, Olivia, Eva, Piper\"\ne34784,2020/03/28,in the early afternoon,7,\"Piper, Layla, Piper, Kinsley\"\ne34785,2020/03/28,in the early evening,14,\"Hazel, Layla, Claire\"\ne34791,2020/03/29,in the early afternoon,40,Kinsley\ne34792,2020/03/29,in the early afternoon,6,\"Piper, Piper, Avery\"\ne34793,2020/03/29,in the early evening,33,\"Claire, Kinsley\"\ne34794,2020/03/29,late in the evening,51,\"Olivia, Kinsley, Lydia\"\ne34801,2020/03/30,in the morning,37,\"Piper, Avery\"\ne34802,2020/03/30,during lunch hours,19,\"Kinsley, Avery, Piper\"\ne34803,2020/03/30,during lunch hours,5,\"Piper, Piper, Kinsley, Nora\"\ne34809,2020/03/31,in the late afternoon,25,\"Nora, Kinsley, Avery, Piper\"\ne34810,2020/03/31,in the early afternoon,28,\"Eva, Nevaeh\"\ne34817,2020/04/01,during lunch hours,5,Kinsley\ne34818,2020/04/01,in the early evening,18,\"Rylee, Layla, Avery, Piper\"\ne34825,2020/04/02,in the late afternoon,38,\"Lydia, Piper, Nora\"\ne34826,2020/04/02,in the morning,24,\"Eva, Avery\"\ne34827,2020/04/02,late in the evening,21,\"Claire, Avery\"\ne34834,2020/04/03,late in the evening,52,\"Hazel, Layla, Rylee\"\ne34835,2020/04/03,in the morning,22,\"Lydia, Rylee, Avery\"\ne34842,2020/04/04,during lunch hours,49,\"Nora, Hazel, Piper\"\ne34843,2020/04/04,in the late afternoon,32,\"Nevaeh, Piper, Rylee, Avery\"\ne34844,2020/04/04,in the morning,34,\"Avery, Hazel\"\ne34851,2020/04/05,in the late afternoon,25,Olivia\ne34852,2020/04/05,in the early evening,28,\"Rylee, Piper\"\ne34853,2020/04/05,in the early evening,13,\"Hazel, Claire, Nora\"\ne34860,2020/04/06,in the morning,5,\"Layla, Piper\"\ne34861,2020/04/06,in the early afternoon,18,\"Claire, Piper\"\ne34862,2020/04/06,in the late afternoon,39,\"Claire, Piper, Hazel, Avery\"\ne34869,2020/04/07,during lunch hours,48,Lydia\ne34870,2020/04/07,in the early evening,10,\"Piper, Hazel, Piper\"\ne34871,2020/04/07,in the early afternoon,41,\"Lydia, Eva, Rylee, Claire\"\ne34878,2020/04/08,in the morning,45,Piper\ne34879,2020/04/08,in the late afternoon,18,Avery\ne34885,2020/04/09,late in the evening,12,Rylee\ne34886,2020/04/09,late in the evening,23,\"Olivia, Rylee\"\ne34887,2020/04/09,in the early evening,15,\"Avery, Nevaeh\"\ne34894,2020/04/10,late in the evening,48,\"Rylee, Eva, Hazel\"\ne34895,2020/04/10,in the morning,36,\"Piper, Piper, Layla\"\ne34896,2020/04/10,in the early afternoon,29,Nevaeh\ne34903,2020/04/11,in the early afternoon,26,Rylee\ne34904,2020/04/11,in the early evening,41,\"Claire, Hazel, Piper\"\ne34911,2020/04/12,in the late afternoon,23,\"Olivia, Hazel, Kinsley, Claire\"\ne34912,2020/04/12,in the morning,11,\"Kinsley, Nevaeh\"\ne34919,2020/04/13,during lunch hours,16,\"Rylee, Layla\"\ne34920,2020/04/13,during lunch hours,55,\"Kinsley, Claire, Lydia, Rylee\"\ne34921,2020/04/13,in the early afternoon,10,\"Nevaeh, Rylee, Piper\"\ne34928,2020/04/14,in the late afternoon,15,\"Olivia, Avery, Piper\"\ne34929,2020/04/14,during lunch hours,50,Olivia\ne34936,2020/04/15,in the late afternoon,26,\"Layla, Olivia\"\ne34937,2020/04/15,during lunch hours,12,\"Nevaeh, Claire, Kinsley, Lydia\"\ne34944,2020/04/16,in the late afternoon,20,\"Lydia, Claire\"\ne34945,2020/04/16,during lunch hours,9,\"Piper, Rylee, Nora, Hazel\"\ne34946,2020/04/16,during lunch hours,9,\"Avery, Nevaeh, Piper, Olivia\"\ne34953,2020/04/17,during lunch hours,6,\"Olivia, Lydia, Avery, Piper\"\ne34954,2020/04/17,in the early afternoon,45,Olivia\ne34961,2020/04/18,in the early afternoon,34,\"Kinsley, Piper\"\ne34962,2020/04/18,in the morning,21,\"Avery, Nevaeh, Nora, Kinsley\"\ne34963,2020/04/18,in the early afternoon,53,\"Layla, Piper, Rylee, Nevaeh\"\ne34970,2020/04/19,in the morning,39,\"Piper, Layla, Nevaeh, Nora\"\ne34971,2020/04/19,in the early afternoon,38,\"Nora, Layla, Rylee\"\ne34972,2020/04/19,in the early evening,17,Claire\ne34979,2020/04/20,late in the evening,36,\"Eva, Hazel\"\ne34980,2020/04/20,late in the evening,24,\"Piper, Piper, Hazel\"\ne34981,2020/04/20,in the early afternoon,18,\"Piper, Hazel, Claire, Eva\"\ne34988,2020/04/21,during lunch hours,37,\"Piper, Hazel, Claire\"\ne34989,2020/04/21,in the early afternoon,49,\"Olivia, Piper, Rylee, Layla\"\ne34996,2020/04/22,in the early evening,43,\"Nevaeh, Claire, Avery, Piper\"\ne34997,2020/04/22,in the early evening,9,\"Claire, Avery\"\ne35004,2020/04/23,during lunch hours,50,\"Claire, Hazel, Kinsley, Nora\"\ne35005,2020/04/23,late in the evening,25,\"Hazel, Layla, Nora\"\ne35006,2020/04/23,in the early afternoon,18,\"Kinsley, Lydia, Piper\"\ne35013,2020/04/24,in the morning,39,\"Piper, Avery, Lydia\"\ne35014,2020/04/24,in the late afternoon,38,\"Kinsley, Rylee, Nora\"\ne35021,2020/04/25,in the morning,44,\"Rylee, Nevaeh, Nora\"\ne35022,2020/04/25,in the late afternoon,42,\"Claire, Olivia, Nevaeh\"\ne35023,2020/04/25,in the late afternoon,36,\"Claire, Layla, Piper\"\ne35030,2020/04/26,in the late afternoon,31,\"Piper, Hazel, Nevaeh, Nora\"\ne35031,2020/04/26,in the early evening,53,\"Claire, Nora, Hazel\"\ne35038,2020/04/27,in the early evening,21,\"Claire, Nevaeh, Piper\"\ne35039,2020/04/27,in the late afternoon,52,\"Piper, Avery, Kinsley\"\ne35040,2020/04/27,in the early evening,20,\"Avery, Piper, Layla\"\ne35046,2020/04/28,late in the evening,14,\"Kinsley, Olivia, Nevaeh\"\ne35047,2020/04/28,in the late afternoon,14,Piper\ne35048,2020/04/28,in the early afternoon,23,Piper\ne35049,2020/04/28,in the late afternoon,24,\"Olivia, Nevaeh\"\ne35056,2020/04/29,in the late afternoon,42,Nevaeh\ne35057,2020/04/29,during lunch hours,27,\"Kinsley, Piper\"\ne35058,2020/04/29,late in the evening,8,\"Piper, Layla\"\ne35059,2020/04/29,in the late afternoon,52,Hazel\ne35066,2020/04/30,during lunch hours,32,Lydia\ne35067,2020/04/30,during lunch hours,36,Kinsley\ne35073,2020/05/01,during lunch hours,8,\"Olivia, Claire, Avery, Nora\"\ne35074,2020/05/01,in the morning,45,\"Piper, Olivia, Nevaeh, Avery\"\ne35075,2020/05/01,late in the evening,32,Claire\ne35081,2020/05/02,in the early evening,19,Piper\ne35082,2020/05/02,late in the evening,31,Nevaeh\ne35088,2020/05/03,in the early afternoon,29,Avery\ne35089,2020/05/03,in the late afternoon,46,\"Lydia, Piper\"\ne35095,2020/05/04,in the morning,42,\"Hazel, Kinsley, Avery\"\ne35096,2020/05/04,in the late afternoon,10,Nora\ne35102,2020/05/05,during lunch hours,21,\"Lydia, Olivia\"\ne35103,2020/05/05,during lunch hours,21,Claire\ne35104,2020/05/05,in the early afternoon,24,\"Nora, Olivia\"\ne35105,2020/05/05,during lunch hours,31,\"Olivia, Piper, Layla, Nevaeh\"\ne35111,2020/05/06,late in the evening,10,\"Rylee, Piper, Claire, Nora\"\ne35112,2020/05/06,during lunch hours,5,Hazel\ne35113,2020/05/06,late in the evening,11,Avery\ne35114,2020/05/06,during lunch hours,39,Olivia\ne35121,2020/05/07,in the early afternoon,16,\"Hazel, Nora\"\ne35122,2020/05/07,in the early evening,43,\"Kinsley, Piper, Hazel\"\ne35123,2020/05/07,late in the evening,51,\"Avery, Claire, Piper\"\ne35129,2020/05/08,during lunch hours,13,\"Lydia, Eva, Nora\"\ne35130,2020/05/08,in the early evening,7,Nora\ne35136,2020/05/09,in the early evening,37,\"Piper, Piper\"\ne35137,2020/05/09,late in the evening,38,Piper\ne35144,2020/05/10,during lunch hours,14,\"Piper, Claire\"\ne35145,2020/05/10,during lunch hours,11,Avery\ne35151,2020/05/11,during lunch hours,13,\"Nevaeh, Lydia, Eva\"\ne35158,2020/05/12,during lunch hours,19,\"Rylee, Piper, Claire, Piper\"\ne35159,2020/05/12,in the early evening,52,\"Claire, Piper, Hazel\"\ne35160,2020/05/12,in the late afternoon,35,\"Nevaeh, Eva, Nora, Rylee\"\ne35166,2020/05/13,in the early afternoon,7,Kinsley\ne35167,2020/05/13,in the early afternoon,40,Kinsley\ne35174,2020/05/14,in the morning,54,Piper\ne35181,2020/05/15,late in the evening,28,Eva\ne35182,2020/05/15,in the morning,26,\"Piper, Claire, Avery, Lydia\"\ne35183,2020/05/15,in the morning,19,Avery\ne35184,2020/05/15,in the early evening,37,Nevaeh\ne35191,2020/05/16,late in the evening,7,\"Hazel, Nora, Nevaeh\"\ne35192,2020/05/16,late in the evening,46,Hazel\ne35193,2020/05/16,in the late afternoon,35,\"Lydia, Nevaeh\"\ne35200,2020/05/17,in the morning,15,Nora\ne35201,2020/05/17,in the early afternoon,47,\"Layla, Piper, Avery, Lydia\"\ne35202,2020/05/17,late in the evening,55,\"Kinsley, Piper, Layla, Eva\"\ne35209,2020/05/18,late in the evening,13,\"Kinsley, Rylee\"\ne35210,2020/05/18,in the late afternoon,17,\"Rylee, Eva\"\ne35211,2020/05/18,during lunch hours,27,Rylee\ne35218,2020/05/19,in the early evening,6,\"Rylee, Piper, Avery, Claire\"\ne35219,2020/05/19,during lunch hours,50,\"Rylee, Piper\"\ne35226,2020/05/20,late in the evening,10,\"Claire, Lydia\"\ne35227,2020/05/20,in the late afternoon,31,\"Rylee, Lydia, Piper\"\ne35234,2020/05/21,late in the evening,16,\"Claire, Avery\"\ne35235,2020/05/21,late in the evening,14,Piper\ne35236,2020/05/21,in the late afternoon,49,\"Eva, Kinsley\"\ne35237,2020/05/21,in the morning,38,\"Eva, Layla, Rylee\"\ne35244,2020/05/22,in the morning,30,\"Kinsley, Nora\"\ne35245,2020/05/22,in the early evening,39,\"Olivia, Lydia, Nora\"\ne35251,2020/05/23,during lunch hours,27,\"Layla, Nora\"\ne35252,2020/05/23,in the late afternoon,44,\"Eva, Nora, Claire\"\ne35253,2020/05/23,in the morning,35,Nora\ne35254,2020/05/23,in the early evening,10,\"Nevaeh, Eva\"\ne35261,2020/05/24,in the early evening,39,\"Eva, Nora, Kinsley, Lydia\"\ne35262,2020/05/24,in the early afternoon,55,Avery\ne35263,2020/05/24,late in the evening,18,\"Avery, Piper\"\ne35264,2020/05/24,during lunch hours,16,Lydia\ne35271,2020/05/25,in the early afternoon,41,\"Eva, Kinsley\"\ne35272,2020/05/25,during lunch hours,39,\"Avery, Piper, Hazel\"\ne35273,2020/05/25,during lunch hours,42,\"Lydia, Kinsley, Piper\"\ne35274,2020/05/25,in the morning,30,\"Kinsley, Hazel\"\ne35281,2020/05/26,in the early afternoon,18,\"Nora, Piper, Hazel\"\ne35282,2020/05/26,in the late afternoon,8,\"Olivia, Kinsley, Eva\"\ne35283,2020/05/26,during lunch hours,22,\"Nora, Eva, Layla, Olivia\"\ne35289,2020/05/27,in the early afternoon,26,\"Hazel, Piper, Claire\"\ne35290,2020/05/27,during lunch hours,47,Kinsley\ne35291,2020/05/27,late in the evening,48,\"Claire, Rylee\"\ne35298,2020/05/28,in the early evening,53,Piper\ne35305,2020/05/29,in the early afternoon,17,\"Piper, Avery\"\ne35306,2020/05/29,in the early evening,33,\"Nevaeh, Avery, Olivia\"\ne35313,2020/05/30,in the early afternoon,17,\"Kinsley, Eva, Lydia\"\ne35314,2020/05/30,during lunch hours,49,\"Rylee, Lydia, Eva\"\ne35315,2020/05/30,in the late afternoon,45,\"Piper, Hazel, Kinsley\"\ne35316,2020/05/30,late in the evening,41,\"Olivia, Hazel\"\ne35323,2020/05/31,in the early afternoon,39,Nevaeh\ne35324,2020/05/31,in the morning,18,Kinsley\ne35325,2020/05/31,in the late afternoon,14,\"Lydia, Avery, Kinsley\"\ne35332,2020/06/01,during lunch hours,19,\"Avery, Rylee, Nora, Hazel\"\ne35333,2020/06/01,in the late afternoon,52,\"Avery, Lydia, Claire\"\ne35339,2020/06/02,in the early afternoon,5,Layla\ne35340,2020/06/02,during lunch hours,35,Nora\ne35341,2020/06/02,late in the evening,29,\"Nora, Eva, Piper, Piper\"\ne35342,2020/06/02,in the early afternoon,39,\"Lydia, Piper, Claire, Avery\"\ne35349,2020/06/03,in the early afternoon,8,\"Olivia, Nevaeh, Claire\"\ne35350,2020/06/03,during lunch hours,18,\"Eva, Avery, Nevaeh, Lydia\"\ne35351,2020/06/03,in the morning,55,\"Layla, Avery, Lydia, Rylee\"\ne35358,2020/06/04,in the early afternoon,34,\"Olivia, Nevaeh, Kinsley\"\ne35359,2020/06/04,in the early afternoon,35,\"Nora, Piper\"\ne35360,2020/06/04,in the early evening,8,Rylee\ne35361,2020/06/04,during lunch hours,55,Claire\ne35367,2020/06/05,in the morning,13,\"Nora, Hazel, Lydia, Eva\"\ne35368,2020/06/05,late in the evening,17,\"Piper, Olivia, Lydia, Avery\"\ne35375,2020/06/06,late in the evening,24,Rylee\ne35376,2020/06/06,in the morning,41,Layla\ne35383,2020/06/07,in the early evening,55,\"Eva, Avery\"\ne35384,2020/06/07,in the early afternoon,29,\"Hazel, Piper, Nevaeh, Claire\"\ne35391,2020/06/08,in the early evening,23,\"Piper, Eva\"\ne35392,2020/06/08,in the late afternoon,45,\"Nevaeh, Eva, Piper\"\ne35393,2020/06/08,in the early afternoon,27,\"Hazel, Olivia, Nevaeh\"\ne35400,2020/06/09,late in the evening,46,\"Hazel, Lydia, Kinsley, Eva\"\ne35401,2020/06/09,in the early afternoon,5,\"Olivia, Hazel, Layla\"\ne35402,2020/06/09,during lunch hours,48,\"Kinsley, Piper, Layla\"\ne35409,2020/06/10,during lunch hours,41,\"Eva, Nevaeh, Avery\"\ne35410,2020/06/10,in the early afternoon,26,Lydia\ne35411,2020/06/10,in the early afternoon,55,Eva\ne35418,2020/06/11,during lunch hours,27,\"Piper, Kinsley, Olivia, Rylee\"\ne35419,2020/06/11,in the morning,44,\"Olivia, Kinsley\"\ne35420,2020/06/11,during lunch hours,37,\"Layla, Olivia, Piper\"\ne35421,2020/06/11,in the early evening,16,\"Layla, Rylee\"\ne35428,2020/06/12,late in the evening,7,\"Nora, Hazel, Lydia, Layla\"\ne35429,2020/06/12,in the morning,6,\"Claire, Lydia, Piper\"\ne35430,2020/06/12,in the early afternoon,19,Claire\ne35431,2020/06/12,in the early afternoon,11,\"Rylee, Piper, Layla, Avery\"\ne35438,2020/06/13,in the early evening,28,\"Eva, Claire, Nevaeh, Layla\"\ne35439,2020/06/13,late in the evening,10,\"Olivia, Lydia\"\ne35440,2020/06/13,in the early afternoon,9,\"Hazel, Layla\"\ne35446,2020/06/14,in the early afternoon,37,Hazel\ne35447,2020/06/14,in the early evening,34,\"Piper, Lydia\"\ne35448,2020/06/14,in the morning,13,Eva\ne35455,2020/06/15,in the morning,30,\"Layla, Nevaeh, Kinsley\"\ne35456,2020/06/15,during lunch hours,42,Rylee\ne35462,2020/06/16,in the late afternoon,28,\"Kinsley, Olivia, Claire, Lydia\"\ne35463,2020/06/16,in the morning,16,\"Nora, Avery, Hazel, Kinsley\"\ne35464,2020/06/16,during lunch hours,9,\"Claire, Hazel, Layla\"\ne35465,2020/06/16,during lunch hours,17,\"Lydia, Piper\"\ne35472,2020/06/17,during lunch hours,42,\"Hazel, Eva, Claire, Piper\"\ne35473,2020/06/17,in the early afternoon,22,Rylee\ne35480,2020/06/18,in the early evening,42,\"Layla, Piper, Nevaeh, Piper\"\ne35481,2020/06/18,late in the evening,21,\"Layla, Rylee, Hazel\"\ne35488,2020/06/19,late in the evening,15,Rylee\ne35489,2020/06/19,in the early afternoon,46,Avery\ne35495,2020/06/20,in the early evening,20,\"Layla, Nora, Nevaeh, Piper\"\ne35496,2020/06/20,in the early afternoon,22,\"Olivia, Nora, Hazel\"\ne35497,2020/06/20,late in the evening,17,\"Claire, Rylee\"\ne35504,2020/06/21,during lunch hours,10,Lydia\ne35505,2020/06/21,late in the evening,33,Kinsley\ne35512,2020/06/22,during lunch hours,19,\"Rylee, Piper, Eva, Hazel\"\ne35513,2020/06/22,in the early afternoon,21,\"Layla, Piper\"\ne35519,2020/06/23,in the late afternoon,20,Layla\ne35520,2020/06/23,late in the evening,47,\"Rylee, Olivia, Layla\"\ne35521,2020/06/23,in the morning,15,\"Eva, Piper, Olivia, Nevaeh\"\ne35528,2020/06/24,during lunch hours,25,Nora\ne35529,2020/06/24,in the morning,20,Nora\ne35536,2020/06/25,late in the evening,51,\"Olivia, Hazel, Kinsley\"\ne35537,2020/06/25,during lunch hours,41,Eva\ne35538,2020/06/25,in the morning,29,\"Avery, Rylee, Piper, Claire\"\ne35539,2020/06/25,in the early afternoon,17,Piper\ne35546,2020/06/26,in the early afternoon,25,\"Avery, Olivia, Lydia\"\ne35547,2020/06/26,in the early evening,26,\"Kinsley, Layla\"\ne35548,2020/06/26,in the morning,33,\"Lydia, Nevaeh, Eva\"\ne35555,2020/06/27,in the late afternoon,48,\"Claire, Layla\"\ne35556,2020/06/27,in the early afternoon,34,\"Olivia, Claire, Lydia, Rylee\"\ne35557,2020/06/27,in the morning,49,\"Rylee, Nevaeh\"\ne35564,2020/06/28,in the early afternoon,9,\"Rylee, Lydia, Hazel\"\ne35565,2020/06/28,in the early afternoon,17,\"Nora, Lydia\"\ne35566,2020/06/28,during lunch hours,8,\"Eva, Nora, Hazel, Lydia\"\ne35567,2020/06/28,late in the evening,24,\"Lydia, Piper, Avery, Nevaeh\"\ne35574,2020/06/29,in the early afternoon,51,\"Nevaeh, Eva, Claire, Avery\"\ne35575,2020/06/29,during lunch hours,8,Nora\ne35576,2020/06/29,late in the evening,47,\"Piper, Olivia\"\ne35577,2020/06/29,during lunch hours,38,\"Eva, Avery, Layla, Piper\"\ne35584,2020/06/30,in the morning,11,\"Nora, Kinsley, Eva, Nevaeh\"\ne35585,2020/06/30,in the morning,35,\"Nevaeh, Nora, Piper\"\ne35586,2020/06/30,late in the evening,45,\"Claire, Kinsley\"\ne35592,2020/07/01,in the early afternoon,54,\"Claire, Rylee, Avery\"\ne35593,2020/07/01,in the early afternoon,26,Olivia\ne35600,2020/07/02,in the late afternoon,23,\"Claire, Avery, Layla, Hazel\"\ne35601,2020/07/02,in the morning,11,\"Kinsley, Avery\"\ne35608,2020/07/03,in the late afternoon,23,\"Claire, Lydia, Hazel\"\ne35609,2020/07/03,during lunch hours,40,\"Nora, Olivia, Piper\"\ne35610,2020/07/03,during lunch hours,32,Layla\ne35616,2020/07/04,in the morning,6,\"Piper, Eva, Hazel\"\ne35623,2020/07/05,during lunch hours,11,\"Hazel, Kinsley, Piper\"\ne35624,2020/07/05,in the morning,15,Rylee\ne35625,2020/07/05,in the late afternoon,5,\"Hazel, Eva, Piper, Layla\"\ne35632,2020/07/06,in the morning,45,\"Nevaeh, Hazel, Lydia\"\ne35639,2020/07/07,during lunch hours,20,Eva\ne35640,2020/07/07,in the early afternoon,7,\"Eva, Avery\"\ne35647,2020/07/08,in the early afternoon,13,Rylee\ne35648,2020/07/08,in the morning,55,Olivia\ne35655,2020/07/09,in the early evening,5,\"Kinsley, Claire\"\ne35656,2020/07/09,in the late afternoon,53,\"Eva, Nevaeh\"\ne35663,2020/07/10,in the early evening,21,Nora\ne35664,2020/07/10,in the early evening,50,Rylee\ne35665,2020/07/10,in the early evening,32,\"Rylee, Piper, Nevaeh\"\ne35666,2020/07/10,late in the evening,54,\"Nevaeh, Eva, Kinsley, Lydia\"\ne35673,2020/07/11,in the early evening,50,Rylee\ne35674,2020/07/11,in the early afternoon,25,Avery\ne35681,2020/07/12,in the morning,23,Eva\ne35682,2020/07/12,in the early afternoon,37,\"Lydia, Rylee\"\ne35683,2020/07/12,in the late afternoon,12,\"Lydia, Nevaeh, Rylee\"\ne35690,2020/07/13,during lunch hours,53,Eva\ne35697,2020/07/14,in the early afternoon,8,\"Hazel, Eva, Piper\"\ne35698,2020/07/14,during lunch hours,35,\"Nevaeh, Piper\"\ne35705,2020/07/15,in the morning,17,Kinsley\ne35706,2020/07/15,in the early evening,16,Rylee\ne35707,2020/07/15,in the late afternoon,36,Avery\ne35714,2020/07/16,late in the evening,47,\"Nora, Layla\"\ne35715,2020/07/16,late in the evening,48,\"Nora, Lydia, Nevaeh\"\ne35722,2020/07/17,during lunch hours,11,\"Piper, Rylee, Hazel\"\ne35723,2020/07/17,in the morning,14,\"Avery, Eva, Olivia, Nora\"\ne35730,2020/07/18,in the early evening,31,\"Claire, Piper, Lydia, Olivia\"\ne35731,2020/07/18,in the early afternoon,8,Kinsley\ne35732,2020/07/18,in the morning,7,\"Lydia, Rylee, Piper\"\ne35733,2020/07/18,in the early evening,12,\"Hazel, Layla, Kinsley\"\ne35740,2020/07/19,in the late afternoon,38,\"Kinsley, Piper, Olivia, Nevaeh\"\ne35741,2020/07/19,in the late afternoon,24,\"Claire, Hazel, Avery\"\ne35742,2020/07/19,during lunch hours,27,Hazel\ne35749,2020/07/20,in the early afternoon,39,\"Nora, Avery\"\ne35750,2020/07/20,in the early afternoon,24,\"Kinsley, Avery, Eva\"\ne35757,2020/07/21,in the early afternoon,35,Piper\ne35758,2020/07/21,in the morning,9,\"Kinsley, Olivia\"\ne35759,2020/07/21,in the early afternoon,49,Avery\ne35760,2020/07/21,in the morning,54,\"Nevaeh, Kinsley\"\ne35767,2020/07/22,in the late afternoon,10,\"Nora, Rylee\"\ne35768,2020/07/22,in the late afternoon,39,\"Rylee, Kinsley, Piper, Nevaeh\"\ne35775,2020/07/23,late in the evening,49,\"Lydia, Hazel, Layla, Eva\"\ne35776,2020/07/23,late in the evening,53,Lydia\ne35777,2020/07/23,in the early afternoon,38,\"Nora, Hazel\"\ne35784,2020/07/24,late in the evening,32,\"Eva, Nora\"\ne35785,2020/07/24,in the early afternoon,26,\"Nora, Avery, Hazel\"\ne35786,2020/07/24,in the early afternoon,47,\"Claire, Layla, Piper, Rylee\"\ne35793,2020/07/25,in the early afternoon,20,Nora\ne35794,2020/07/25,late in the evening,41,Piper\ne35795,2020/07/25,in the early afternoon,29,Rylee\ne35796,2020/07/25,in the early afternoon,12,\"Lydia, Rylee, Olivia\"\ne35803,2020/07/26,during lunch hours,35,\"Nevaeh, Avery, Rylee, Layla\"\ne35804,2020/07/26,during lunch hours,27,\"Hazel, Piper, Rylee\"\ne35811,2020/07/27,in the morning,51,Layla\ne35812,2020/07/27,in the early evening,12,\"Hazel, Kinsley\"\ne35819,2020/07/28,in the early evening,55,\"Nora, Avery, Layla, Kinsley\"\ne35820,2020/07/28,late in the evening,11,\"Piper, Kinsley, Claire, Nora\"\ne35827,2020/07/29,in the morning,48,\"Nevaeh, Kinsley, Hazel\"\ne35828,2020/07/29,in the early afternoon,14,\"Piper, Olivia\"\ne35829,2020/07/29,late in the evening,48,\"Olivia, Claire, Eva, Kinsley\"\ne35836,2020/07/30,in the early afternoon,42,Layla\ne35837,2020/07/30,in the morning,53,\"Olivia, Piper\"\ne35844,2020/07/31,in the early evening,55,\"Kinsley, Rylee\"\ne35845,2020/07/31,in the morning,10,\"Rylee, Piper, Hazel\"\ne35846,2020/07/31,in the early evening,48,\"Piper, Olivia, Avery\"\ne35853,2020/08/01,in the early afternoon,34,\"Nevaeh, Lydia, Piper, Kinsley\"\ne35859,2020/08/02,in the late afternoon,35,\"Nora, Kinsley, Nevaeh, Avery\"\ne35860,2020/08/02,in the early afternoon,24,\"Eva, Piper, Rylee, Hazel\"\ne35867,2020/08/03,during lunch hours,9,\"Rylee, Lydia\"\ne35868,2020/08/03,late in the evening,47,Nevaeh\ne35869,2020/08/03,in the late afternoon,37,\"Hazel, Layla\"\ne35870,2020/08/03,during lunch hours,36,Nevaeh\ne35877,2020/08/04,in the early evening,5,\"Rylee, Avery\"\ne35878,2020/08/04,in the early evening,28,\"Nevaeh, Lydia\"\ne35885,2020/08/05,in the morning,45,\"Layla, Kinsley, Piper, Hazel\"\ne35886,2020/08/05,during lunch hours,52,Lydia\ne35892,2020/08/06,late in the evening,30,\"Piper, Kinsley, Lydia\"\ne35893,2020/08/06,late in the evening,55,\"Hazel, Piper, Olivia\"\ne35894,2020/08/06,during lunch hours,36,\"Piper, Hazel, Eva, Nora\"\ne35901,2020/08/07,late in the evening,7,\"Avery, Nevaeh, Nora, Piper\"\ne35902,2020/08/07,in the early afternoon,13,\"Hazel, Nevaeh, Rylee, Kinsley\"\ne35903,2020/08/07,late in the evening,31,Rylee\ne35910,2020/08/08,in the late afternoon,25,Nora\ne35911,2020/08/08,during lunch hours,14,\"Avery, Eva, Olivia, Rylee\"\ne35912,2020/08/08,late in the evening,26,Eva\ne35919,2020/08/09,in the morning,48,\"Claire, Piper\"\ne35920,2020/08/09,in the morning,33,Eva\ne35927,2020/08/10,during lunch hours,45,\"Lydia, Piper, Rylee\"\ne35928,2020/08/10,in the early afternoon,39,Nevaeh\ne35929,2020/08/10,late in the evening,12,\"Avery, Olivia, Piper\"\ne35936,2020/08/11,in the late afternoon,19,Piper\ne35937,2020/08/11,in the early evening,53,\"Lydia, Rylee, Nevaeh\"\ne35944,2020/08/12,late in the evening,44,\"Layla, Claire, Avery, Lydia\"\ne35945,2020/08/12,late in the evening,30,\"Rylee, Olivia, Kinsley, Layla\"\ne35946,2020/08/12,in the early afternoon,20,Olivia\ne35947,2020/08/12,in the early evening,16,\"Hazel, Layla, Kinsley, Rylee\"\ne35953,2020/08/13,in the early evening,40,\"Lydia, Eva, Kinsley\"\ne35960,2020/08/14,late in the evening,48,\"Claire, Avery, Hazel\"\ne35961,2020/08/14,in the morning,26,\"Lydia, Olivia\"\ne35968,2020/08/15,in the morning,23,\"Claire, Piper, Lydia, Hazel\"\ne35969,2020/08/15,in the morning,17,Hazel\ne35976,2020/08/16,in the late afternoon,11,Lydia\ne35977,2020/08/16,in the early afternoon,27,\"Nevaeh, Nora, Piper\"\ne35978,2020/08/16,in the morning,14,Lydia\ne35985,2020/08/17,in the early evening,36,\"Olivia, Hazel, Kinsley\"\ne35986,2020/08/17,in the late afternoon,54,\"Layla, Rylee, Kinsley, Lydia\"\ne35993,2020/08/18,in the late afternoon,30,\"Kinsley, Nora\"\ne35994,2020/08/18,late in the evening,44,Olivia\ne35995,2020/08/18,in the late afternoon,39,\"Eva, Rylee, Lydia\"\ne36001,2020/08/19,in the early evening,29,\"Eva, Hazel, Layla, Nora\"\ne36002,2020/08/19,during lunch hours,51,\"Layla, Claire\"\ne36003,2020/08/19,in the late afternoon,14,\"Olivia, Nora, Eva\"\ne36009,2020/08/20,in the early evening,24,\"Avery, Layla, Eva, Piper\"\ne36010,2020/08/20,in the early afternoon,35,\"Hazel, Avery, Layla\"\ne36011,2020/08/20,in the early evening,21,Avery\ne36012,2020/08/20,in the late afternoon,29,\"Claire, Piper, Lydia\"\ne36018,2020/08/21,in the morning,5,\"Rylee, Nevaeh, Claire\"\ne36019,2020/08/21,in the early evening,25,\"Claire, Kinsley\"\ne36020,2020/08/21,during lunch hours,53,Piper\ne36021,2020/08/21,in the morning,19,\"Piper, Nevaeh, Eva, Rylee\"\ne36028,2020/08/22,during lunch hours,54,\"Nora, Piper, Avery, Rylee\"\ne36029,2020/08/22,in the morning,11,\"Avery, Lydia\"\ne36030,2020/08/22,in the early afternoon,52,\"Piper, Nora, Rylee, Lydia\"\ne36037,2020/08/23,in the early afternoon,43,Piper\ne36038,2020/08/23,in the early evening,37,\"Nevaeh, Kinsley\"\ne36039,2020/08/23,in the early afternoon,30,\"Lydia, Piper\"\ne36046,2020/08/24,late in the evening,28,\"Nevaeh, Piper\"\ne36047,2020/08/24,late in the evening,11,\"Kinsley, Avery, Piper\"\ne36054,2020/08/25,in the early evening,15,\"Lydia, Kinsley, Rylee, Eva\"\ne36055,2020/08/25,late in the evening,31,\"Layla, Hazel\"\ne36056,2020/08/25,in the early afternoon,15,Eva\ne36057,2020/08/25,in the early evening,35,\"Piper, Avery, Claire, Lydia\"\ne36063,2020/08/26,in the early evening,9,\"Eva, Layla, Piper\"\ne36064,2020/08/26,in the early evening,10,Eva\ne36071,2020/08/27,in the morning,30,\"Nevaeh, Avery\"\ne36072,2020/08/27,in the early evening,44,\"Hazel, Avery, Kinsley\"\ne36073,2020/08/27,during lunch hours,55,Claire\ne36080,2020/08/28,in the late afternoon,13,\"Nora, Claire\"\ne36081,2020/08/28,during lunch hours,7,\"Kinsley, Avery, Eva\"\ne36082,2020/08/28,in the late afternoon,17,Avery\ne36083,2020/08/28,in the early afternoon,28,\"Layla, Hazel, Avery, Nevaeh\"\ne36090,2020/08/29,in the early afternoon,25,\"Layla, Claire\"\ne36097,2020/08/30,in the late afternoon,39,\"Layla, Eva, Kinsley\"\ne36098,2020/08/30,in the early afternoon,11,\"Avery, Nora, Claire, Piper\"\ne36099,2020/08/30,in the morning,23,Nevaeh\ne36106,2020/08/31,during lunch hours,35,Claire\ne36107,2020/08/31,in the early evening,53,\"Layla, Eva, Nora, Claire\"\ne36108,2020/08/31,in the early afternoon,10,\"Nora, Claire\"\ne36115,2020/09/01,in the early afternoon,20,\"Lydia, Kinsley, Olivia\"\ne36116,2020/09/01,in the morning,41,\"Olivia, Lydia, Nevaeh\"\ne36123,2020/09/02,in the early evening,30,\"Kinsley, Lydia\"\ne36124,2020/09/02,in the late afternoon,20,\"Eva, Lydia\"\ne36125,2020/09/02,late in the evening,46,\"Lydia, Claire\"\ne36126,2020/09/02,in the morning,12,Nora\ne36133,2020/09/03,during lunch hours,5,\"Claire, Eva, Layla, Olivia\"\ne36134,2020/09/03,late in the evening,14,Kinsley\ne36141,2020/09/04,late in the evening,35,\"Nevaeh, Kinsley\"\ne36142,2020/09/04,in the early evening,22,Hazel\ne36143,2020/09/04,late in the evening,19,Piper\ne36150,2020/09/05,late in the evening,43,\"Lydia, Layla, Nora, Olivia\"\ne36151,2020/09/05,late in the evening,18,\"Eva, Nevaeh\"\ne36158,2020/09/06,during lunch hours,31,\"Avery, Piper\"\ne36159,2020/09/06,late in the evening,47,\"Avery, Nora, Claire, Layla\"\ne36160,2020/09/06,in the morning,39,\"Rylee, Lydia, Claire\"\ne36161,2020/09/06,late in the evening,23,\"Nora, Lydia\"\ne36168,2020/09/07,during lunch hours,37,\"Olivia, Rylee, Layla\"\ne36169,2020/09/07,during lunch hours,27,\"Hazel, Avery\"\ne36170,2020/09/07,in the early evening,24,\"Eva, Kinsley, Claire\"\ne36177,2020/09/08,in the early evening,11,\"Eva, Piper\"\ne36178,2020/09/08,in the early evening,11,\"Claire, Eva, Piper, Layla\"\ne36179,2020/09/08,in the early afternoon,45,\"Olivia, Piper, Rylee, Hazel\"\ne36180,2020/09/08,during lunch hours,30,\"Rylee, Piper, Nevaeh, Kinsley\"\ne36186,2020/09/09,in the late afternoon,51,\"Piper, Piper\"\ne36187,2020/09/09,in the morning,11,\"Kinsley, Hazel\"\ne36188,2020/09/09,in the early afternoon,39,Nevaeh\ne36195,2020/09/10,during lunch hours,22,Olivia\ne36196,2020/09/10,in the early afternoon,39,\"Hazel, Nevaeh, Piper\"\ne36197,2020/09/10,in the early afternoon,19,\"Hazel, Olivia\"\ne36204,2020/09/11,in the early evening,33,Claire\ne36205,2020/09/11,in the early afternoon,11,Lydia\ne36206,2020/09/11,late in the evening,34,Kinsley\ne36207,2020/09/11,during lunch hours,7,\"Claire, Piper\"\ne36214,2020/09/12,in the early afternoon,35,\"Kinsley, Layla, Rylee, Nevaeh\"\ne36221,2020/09/13,in the early evening,32,\"Kinsley, Nevaeh\"\ne36222,2020/09/13,during lunch hours,9,\"Piper, Claire, Eva\"\ne36223,2020/09/13,in the morning,27,\"Claire, Lydia, Avery\"\ne36230,2020/09/14,late in the evening,19,\"Layla, Claire, Piper\"\ne36231,2020/09/14,in the early evening,42,\"Eva, Avery, Nevaeh\"\ne36238,2020/09/15,in the late afternoon,52,\"Nora, Hazel, Piper, Eva\"\ne36239,2020/09/15,late in the evening,46,\"Layla, Rylee\"\ne36246,2020/09/16,in the late afternoon,33,Avery\ne36247,2020/09/16,late in the evening,42,\"Kinsley, Piper, Hazel, Layla\"\ne36248,2020/09/16,in the morning,11,Lydia\ne36255,2020/09/17,in the early evening,40,\"Eva, Piper, Olivia, Rylee\"\ne36256,2020/09/17,in the early evening,31,Avery\ne36263,2020/09/18,in the late afternoon,24,Claire\ne36264,2020/09/18,in the early evening,25,Hazel\ne36271,2020/09/19,in the early afternoon,36,\"Eva, Lydia\"\ne36272,2020/09/19,in the early afternoon,55,\"Piper, Hazel\"\ne36273,2020/09/19,in the morning,21,\"Hazel, Lydia\"\ne36280,2020/09/20,in the late afternoon,23,\"Hazel, Piper\"\ne36281,2020/09/20,late in the evening,11,Nora\ne36282,2020/09/20,during lunch hours,11,\"Rylee, Olivia\"\ne36288,2020/09/21,in the early evening,12,\"Nevaeh, Avery, Nora, Eva\"\ne36289,2020/09/21,during lunch hours,9,Olivia\ne36290,2020/09/21,during lunch hours,33,\"Claire, Avery, Lydia, Hazel\"\ne36297,2020/09/22,during lunch hours,23,Eva\ne36298,2020/09/22,late in the evening,54,\"Lydia, Hazel, Piper, Kinsley\"\ne36305,2020/09/23,in the late afternoon,27,\"Kinsley, Piper, Nora\"\ne36306,2020/09/23,in the late afternoon,53,\"Eva, Claire, Olivia, Piper\"\ne36307,2020/09/23,in the early evening,10,\"Nevaeh, Kinsley\"\ne36314,2020/09/24,in the morning,55,\"Lydia, Claire, Rylee\"\ne36315,2020/09/24,late in the evening,16,Avery\ne36316,2020/09/24,in the early afternoon,16,Piper\ne36323,2020/09/25,late in the evening,19,\"Nevaeh, Nora\"\ne36324,2020/09/25,during lunch hours,35,Rylee\ne36325,2020/09/25,late in the evening,44,Eva\ne36332,2020/09/26,in the early evening,48,\"Piper, Kinsley\"\ne36333,2020/09/26,in the early evening,44,Eva\ne36334,2020/09/26,in the early afternoon,48,Claire\ne36341,2020/09/27,in the morning,24,Layla\ne36342,2020/09/27,during lunch hours,10,\"Lydia, Piper\"\ne36343,2020/09/27,in the early afternoon,6,Layla\ne36344,2020/09/27,during lunch hours,40,\"Hazel, Claire\"\ne36351,2020/09/28,in the early afternoon,45,Piper\ne36352,2020/09/28,in the early afternoon,36,Layla\ne36353,2020/09/28,in the morning,7,\"Lydia, Piper\"\ne36360,2020/09/29,in the early afternoon,9,\"Kinsley, Nevaeh, Eva, Piper\"\ne36361,2020/09/29,in the late afternoon,32,\"Piper, Olivia, Eva, Kinsley\"\ne36368,2020/09/30,in the morning,9,\"Kinsley, Nevaeh, Piper\"\ne36369,2020/09/30,in the late afternoon,51,Lydia\ne36370,2020/09/30,in the early afternoon,14,\"Eva, Layla, Kinsley, Claire\"\ne36377,2020/10/01,late in the evening,24,Rylee\ne36378,2020/10/01,in the morning,51,\"Hazel, Rylee, Lydia\"\ne36379,2020/10/01,in the early evening,13,Rylee\ne36386,2020/10/02,in the early afternoon,13,\"Eva, Piper, Nevaeh\"\ne36387,2020/10/02,late in the evening,6,\"Hazel, Layla\"\ne36388,2020/10/02,in the early afternoon,23,\"Lydia, Piper, Kinsley\"\ne36395,2020/10/03,in the early afternoon,51,\"Piper, Eva\"\ne36402,2020/10/04,in the morning,16,Layla\ne36403,2020/10/04,during lunch hours,49,\"Nevaeh, Piper, Kinsley\"\ne36409,2020/10/05,during lunch hours,16,\"Piper, Kinsley\"\ne36410,2020/10/05,in the morning,50,\"Olivia, Kinsley, Claire, Piper\"\ne36417,2020/10/06,in the morning,42,\"Avery, Nora, Hazel, Lydia\"\ne36418,2020/10/06,during lunch hours,27,\"Kinsley, Piper\"\ne36419,2020/10/06,late in the evening,21,\"Layla, Eva\"\ne36420,2020/10/06,during lunch hours,14,Nevaeh\ne36427,2020/10/07,in the morning,16,\"Lydia, Kinsley\"\ne36428,2020/10/07,in the early evening,47,\"Piper, Claire, Piper, Layla\"\ne36435,2020/10/08,in the late afternoon,32,\"Olivia, Nevaeh, Nora, Claire\"\ne36436,2020/10/08,in the early afternoon,46,\"Nevaeh, Piper\"\ne36443,2020/10/09,in the early evening,26,\"Lydia, Rylee, Kinsley, Eva\"\ne36444,2020/10/09,in the early evening,43,\"Eva, Lydia, Layla\"\ne36451,2020/10/10,late in the evening,27,\"Piper, Eva, Hazel, Kinsley\"\ne36452,2020/10/10,during lunch hours,23,Nora\ne36453,2020/10/10,in the late afternoon,34,\"Eva, Nevaeh\"\ne36460,2020/10/11,in the early afternoon,19,\"Nevaeh, Lydia\"\ne36461,2020/10/11,late in the evening,11,\"Kinsley, Rylee, Olivia, Eva\"\ne36462,2020/10/11,in the morning,32,\"Nora, Claire\"\ne36463,2020/10/11,in the late afternoon,37,\"Layla, Piper\"\ne36470,2020/10/12,in the early afternoon,13,\"Hazel, Olivia, Rylee\"\ne36471,2020/10/12,in the early evening,23,Hazel\ne36472,2020/10/12,during lunch hours,47,\"Nora, Olivia, Nevaeh, Avery\"\ne36473,2020/10/12,in the early evening,38,\"Olivia, Avery\"\ne36480,2020/10/13,in the late afternoon,34,\"Kinsley, Avery, Piper, Nevaeh\"\ne36481,2020/10/13,in the early afternoon,40,\"Avery, Eva, Claire\"\ne36488,2020/10/14,in the early evening,46,\"Kinsley, Nora, Olivia, Rylee\"\ne36489,2020/10/14,late in the evening,14,\"Olivia, Piper\"\ne36490,2020/10/14,in the morning,10,\"Avery, Piper\"\ne36497,2020/10/15,late in the evening,55,\"Eva, Piper, Rylee, Olivia\"\ne36498,2020/10/15,in the early evening,37,\"Claire, Eva, Piper, Layla\"\ne36499,2020/10/15,in the late afternoon,52,\"Piper, Rylee\"\ne36500,2020/10/15,in the late afternoon,35,\"Avery, Kinsley\"\ne36506,2020/10/16,late in the evening,11,\"Kinsley, Hazel, Nevaeh\"\ne36507,2020/10/16,late in the evening,18,\"Eva, Nora, Layla\"\ne36508,2020/10/16,late in the evening,48,Eva\ne36515,2020/10/17,in the early afternoon,11,Nora\ne36516,2020/10/17,in the early evening,9,\"Layla, Kinsley, Olivia\"\ne36517,2020/10/17,during lunch hours,23,Piper\ne36518,2020/10/17,late in the evening,22,\"Nora, Piper\"\ne36525,2020/10/18,in the early evening,8,Eva\ne36526,2020/10/18,in the morning,36,\"Lydia, Nora, Nevaeh\"\ne36533,2020/10/19,late in the evening,36,Nora\ne36534,2020/10/19,in the late afternoon,45,Nora\ne36535,2020/10/19,in the early evening,11,Hazel\ne36536,2020/10/19,late in the evening,11,\"Avery, Kinsley\"\ne36543,2020/10/20,during lunch hours,7,\"Piper, Piper, Eva, Avery\"\ne36544,2020/10/20,in the late afternoon,45,\"Nevaeh, Lydia, Hazel\"\ne36551,2020/10/21,during lunch hours,28,\"Lydia, Piper\"\ne36552,2020/10/21,during lunch hours,11,Eva\ne36553,2020/10/21,in the early evening,40,\"Hazel, Nora\"\ne36554,2020/10/21,during lunch hours,45,\"Nora, Olivia, Avery, Lydia\"\ne36561,2020/10/22,in the early afternoon,24,\"Rylee, Nora, Kinsley\"\ne36562,2020/10/22,in the morning,7,\"Rylee, Nevaeh\"\ne36563,2020/10/22,in the morning,51,Olivia\ne36564,2020/10/22,during lunch hours,52,\"Rylee, Layla, Hazel\"\ne36571,2020/10/23,late in the evening,54,\"Kinsley, Claire\"\ne36572,2020/10/23,in the late afternoon,48,\"Olivia, Nora, Hazel\"\ne36573,2020/10/23,during lunch hours,55,\"Claire, Eva, Lydia\"\ne36580,2020/10/24,during lunch hours,34,Lydia\ne36581,2020/10/24,in the early evening,41,\"Rylee, Layla, Olivia, Nora\"\ne36582,2020/10/24,in the late afternoon,46,Nora\ne36583,2020/10/24,during lunch hours,39,Kinsley\ne36590,2020/10/25,late in the evening,6,Layla\ne36591,2020/10/25,during lunch hours,28,\"Claire, Lydia\"\ne36598,2020/10/26,in the morning,42,\"Kinsley, Eva\"\ne36599,2020/10/26,in the early evening,32,\"Kinsley, Olivia, Hazel\"\ne36600,2020/10/26,in the late afternoon,11,Lydia\ne36601,2020/10/26,in the late afternoon,24,\"Nevaeh, Piper, Kinsley, Lydia\"\ne36608,2020/10/27,in the early afternoon,8,\"Rylee, Nora, Claire, Piper\"\ne36609,2020/10/27,in the early evening,11,\"Nora, Kinsley, Hazel\"\ne36610,2020/10/27,in the early evening,12,Lydia\ne36617,2020/10/28,in the morning,53,\"Rylee, Eva, Claire, Kinsley\"\ne36618,2020/10/28,in the early evening,38,\"Avery, Rylee, Nevaeh, Hazel\"\ne36625,2020/10/29,during lunch hours,15,\"Nora, Claire\"\ne36626,2020/10/29,late in the evening,25,\"Piper, Nevaeh, Lydia\"\ne36627,2020/10/29,in the late afternoon,38,\"Layla, Eva, Nora, Nevaeh\"\ne36634,2020/10/30,in the late afternoon,21,Olivia\ne36635,2020/10/30,in the early afternoon,31,\"Nora, Eva\"\ne36636,2020/10/30,in the late afternoon,15,\"Piper, Nora, Olivia\"\ne36643,2020/10/31,late in the evening,5,\"Piper, Lydia, Eva\"\ne36644,2020/10/31,during lunch hours,26,Piper\ne36645,2020/10/31,in the late afternoon,52,Lydia\ne36652,2020/11/01,in the late afternoon,28,\"Lydia, Nevaeh, Kinsley\"\ne36653,2020/11/01,in the late afternoon,22,\"Nora, Kinsley, Piper, Claire\"\ne36654,2020/11/01,late in the evening,34,Piper\ne36661,2020/11/02,in the early evening,20,\"Kinsley, Piper, Lydia\"\ne36662,2020/11/02,in the morning,35,\"Lydia, Nevaeh, Kinsley, Rylee\"\ne36663,2020/11/02,in the morning,35,Claire\ne36670,2020/11/03,during lunch hours,27,\"Kinsley, Rylee\"\ne36671,2020/11/03,late in the evening,15,\"Piper, Eva, Kinsley\"\ne36672,2020/11/03,in the late afternoon,20,\"Rylee, Avery, Kinsley\"\ne36673,2020/11/03,in the early afternoon,17,\"Claire, Kinsley, Eva\"\ne36680,2020/11/04,late in the evening,38,\"Kinsley, Layla\"\ne36681,2020/11/04,in the early evening,28,\"Avery, Kinsley, Piper\"\ne36682,2020/11/04,in the early evening,41,\"Piper, Kinsley, Rylee, Eva\"\ne36683,2020/11/04,in the early evening,54,Layla\ne36690,2020/11/05,in the early evening,43,\"Olivia, Eva, Piper\"\ne36691,2020/11/05,in the late afternoon,51,\"Nevaeh, Piper, Eva, Avery\"\ne36692,2020/11/05,during lunch hours,6,\"Rylee, Layla\"\ne36699,2020/11/06,in the late afternoon,40,\"Lydia, Nevaeh\"\ne36700,2020/11/06,in the early evening,18,\"Kinsley, Hazel, Claire, Rylee\"\ne36707,2020/11/07,in the morning,30,\"Piper, Rylee\"\ne36708,2020/11/07,during lunch hours,29,Claire\ne36709,2020/11/07,late in the evening,54,\"Eva, Kinsley, Rylee, Piper\"\ne36710,2020/11/07,in the late afternoon,15,Nora\ne36717,2020/11/08,late in the evening,12,\"Piper, Kinsley, Claire\"\ne36718,2020/11/08,in the early evening,35,\"Claire, Lydia, Piper\"\ne36719,2020/11/08,in the early afternoon,54,\"Piper, Layla\"\ne36726,2020/11/09,in the early evening,27,\"Claire, Piper\"\ne36727,2020/11/09,in the early afternoon,51,Layla\ne36728,2020/11/09,late in the evening,45,\"Nora, Kinsley\"\ne36735,2020/11/10,during lunch hours,53,\"Rylee, Avery, Layla, Kinsley\"\ne36736,2020/11/10,in the early afternoon,16,\"Layla, Nora\"\ne36737,2020/11/10,in the early evening,9,\"Nora, Eva, Hazel, Rylee\"\ne36744,2020/11/11,in the morning,30,\"Kinsley, Olivia, Avery\"\ne36745,2020/11/11,during lunch hours,43,\"Piper, Kinsley, Hazel\"\ne36746,2020/11/11,in the morning,32,\"Nora, Kinsley\"\ne36753,2020/11/12,in the morning,14,Eva\ne36754,2020/11/12,in the morning,53,\"Claire, Piper, Rylee\"\ne36761,2020/11/13,in the late afternoon,36,\"Claire, Piper, Kinsley\"\ne36768,2020/11/14,in the late afternoon,8,\"Layla, Piper, Olivia, Nevaeh\"\ne36769,2020/11/14,in the morning,52,Lydia\ne36770,2020/11/14,in the early evening,42,\"Kinsley, Nora, Rylee, Piper\"\ne36777,2020/11/15,in the late afternoon,46,Piper\ne36778,2020/11/15,in the early evening,17,\"Nevaeh, Avery, Piper, Hazel\"\ne36779,2020/11/15,during lunch hours,27,\"Olivia, Hazel, Piper, Avery\"\ne36780,2020/11/15,late in the evening,27,Avery\ne36787,2020/11/16,in the early afternoon,47,\"Eva, Layla, Piper, Nevaeh\"\ne36788,2020/11/16,during lunch hours,24,\"Rylee, Nora, Claire, Nevaeh\"\ne36789,2020/11/16,in the morning,50,\"Layla, Piper, Avery\"\ne36796,2020/11/17,in the early evening,36,\"Rylee, Nora, Hazel\"\ne36797,2020/11/17,during lunch hours,46,\"Kinsley, Olivia, Eva\"\ne36798,2020/11/17,in the early afternoon,27,\"Kinsley, Olivia\"\ne36804,2020/11/18,during lunch hours,52,\"Eva, Hazel, Layla\"\ne36805,2020/11/18,in the morning,8,\"Piper, Kinsley, Rylee\"\ne36806,2020/11/18,in the morning,15,\"Eva, Claire, Nevaeh, Olivia\"\ne36813,2020/11/19,late in the evening,17,Olivia\ne36814,2020/11/19,late in the evening,46,Layla\ne36815,2020/11/19,late in the evening,21,Lydia\ne36822,2020/11/20,late in the evening,33,\"Avery, Rylee, Eva, Kinsley\"\ne36823,2020/11/20,during lunch hours,30,\"Kinsley, Rylee, Claire\"\ne36830,2020/11/21,in the early evening,21,\"Eva, Rylee, Lydia, Olivia\"\ne36831,2020/11/21,in the late afternoon,10,\"Claire, Piper, Rylee, Eva\"\ne36832,2020/11/21,in the morning,47,Piper\ne36839,2020/11/22,in the late afternoon,52,\"Lydia, Rylee, Olivia, Avery\"\ne36840,2020/11/22,in the late afternoon,55,Kinsley\ne36841,2020/11/22,late in the evening,55,Avery\ne36842,2020/11/22,during lunch hours,7,\"Rylee, Piper, Layla, Avery\"\ne36849,2020/11/23,in the early evening,53,Layla\ne36850,2020/11/23,during lunch hours,40,\"Avery, Claire, Piper, Hazel\"\ne36851,2020/11/23,in the late afternoon,44,Hazel\ne36858,2020/11/24,in the late afternoon,38,\"Avery, Eva, Layla\"\ne36859,2020/11/24,late in the evening,21,\"Piper, Nora, Layla\"\ne36860,2020/11/24,late in the evening,40,\"Eva, Lydia, Kinsley\"\ne36867,2020/11/25,during lunch hours,42,\"Kinsley, Lydia, Claire\"\ne36868,2020/11/25,in the early afternoon,21,Nora\ne36875,2020/11/26,in the morning,23,\"Hazel, Layla, Piper, Olivia\"\ne36876,2020/11/26,in the morning,10,\"Eva, Kinsley\"\ne36883,2020/11/27,in the early evening,28,\"Piper, Rylee, Eva, Olivia\"\ne36884,2020/11/27,in the late afternoon,21,\"Avery, Rylee, Olivia, Hazel\"\ne36885,2020/11/27,in the late afternoon,26,Layla\ne36886,2020/11/27,in the late afternoon,42,\"Nevaeh, Piper, Claire\"\ne36893,2020/11/28,during lunch hours,31,Hazel\ne36894,2020/11/28,in the early afternoon,21,Eva\ne36895,2020/11/28,late in the evening,15,\"Piper, Nora\"\ne36902,2020/11/29,during lunch hours,44,\"Kinsley, Olivia, Piper, Eva\"\ne36903,2020/11/29,during lunch hours,51,\"Eva, Olivia\"\ne36904,2020/11/29,during lunch hours,38,\"Nevaeh, Hazel, Layla\"\ne36911,2020/11/30,in the morning,19,\"Olivia, Hazel, Avery\"\ne36912,2020/11/30,in the early evening,28,\"Hazel, Eva, Layla\"\ne36913,2020/11/30,in the late afternoon,40,\"Claire, Lydia, Kinsley\"\ne36920,2020/12/01,late in the evening,20,\"Eva, Kinsley\"\ne36921,2020/12/01,in the late afternoon,24,\"Nora, Avery, Claire, Layla\"\ne36922,2020/12/01,during lunch hours,16,\"Olivia, Hazel\"\ne36929,2020/12/02,in the late afternoon,27,Nevaeh\ne36930,2020/12/02,in the late afternoon,23,\"Rylee, Lydia, Piper, Hazel\"\ne36931,2020/12/02,during lunch hours,12,\"Lydia, Avery, Piper, Eva\"\ne36938,2020/12/03,in the morning,6,\"Claire, Nevaeh\"\ne36939,2020/12/03,in the early evening,8,\"Hazel, Piper, Lydia, Kinsley\"\ne36940,2020/12/03,in the early evening,26,\"Lydia, Olivia, Avery, Piper\"\ne36947,2020/12/04,late in the evening,38,\"Claire, Rylee, Eva\"\ne36948,2020/12/04,during lunch hours,7,\"Rylee, Kinsley, Eva, Olivia\"\ne36949,2020/12/04,in the early evening,17,\"Avery, Claire, Olivia, Lydia\"\ne36950,2020/12/04,in the early evening,5,\"Rylee, Avery\"\ne36957,2020/12/05,during lunch hours,10,Claire\ne36958,2020/12/05,in the early afternoon,45,Nora\ne36959,2020/12/05,in the early afternoon,26,\"Kinsley, Hazel\"\ne36960,2020/12/05,in the morning,41,\"Kinsley, Claire, Nora\"\ne36966,2020/12/06,in the late afternoon,23,\"Kinsley, Olivia, Avery, Rylee\"\ne36967,2020/12/06,late in the evening,37,Kinsley\ne36968,2020/12/06,late in the evening,54,\"Claire, Rylee, Layla\"\ne36975,2020/12/07,in the early afternoon,51,\"Nora, Claire, Rylee\"\ne36976,2020/12/07,in the early afternoon,47,\"Nora, Piper, Lydia, Kinsley\"\ne36977,2020/12/07,in the late afternoon,17,Piper\ne36984,2020/12/08,in the early evening,35,Lydia\ne36985,2020/12/08,in the early afternoon,8,\"Nora, Rylee, Lydia, Piper\"\ne36986,2020/12/08,late in the evening,49,Lydia\ne36993,2020/12/09,during lunch hours,12,\"Kinsley, Piper\"\ne36994,2020/12/09,late in the evening,19,\"Nora, Eva, Lydia, Layla\"\ne36995,2020/12/09,in the early afternoon,7,Claire\ne37002,2020/12/10,in the early afternoon,12,Piper\ne37003,2020/12/10,in the early afternoon,30,Hazel\ne37004,2020/12/10,in the early evening,44,Layla\ne37011,2020/12/11,late in the evening,6,\"Piper, Avery, Piper\"\ne37012,2020/12/11,in the morning,14,Claire\ne37013,2020/12/11,in the early evening,51,\"Hazel, Olivia, Avery\"\ne37014,2020/12/11,in the early evening,49,\"Hazel, Kinsley, Piper, Layla\"\ne37020,2020/12/12,late in the evening,55,\"Layla, Eva, Nevaeh\"\ne37021,2020/12/12,during lunch hours,14,Hazel\ne37028,2020/12/13,during lunch hours,6,\"Claire, Lydia, Rylee\"\ne37029,2020/12/13,during lunch hours,46,Nora\ne37030,2020/12/13,in the early afternoon,10,Lydia\ne37037,2020/12/14,in the late afternoon,44,\"Eva, Kinsley, Hazel, Piper\"\ne37038,2020/12/14,in the late afternoon,5,\"Claire, Avery\"\ne37039,2020/12/14,in the late afternoon,15,\"Kinsley, Rylee, Hazel\"\ne37046,2020/12/15,in the late afternoon,40,\"Piper, Rylee\"\ne37047,2020/12/15,late in the evening,7,\"Nevaeh, Layla\"\ne37048,2020/12/15,in the early evening,15,\"Kinsley, Claire, Avery\"\ne37055,2020/12/16,in the early evening,35,\"Olivia, Hazel, Claire, Nora\"\ne37056,2020/12/16,in the early evening,6,\"Nevaeh, Eva, Avery, Claire\"\ne37062,2020/12/17,in the morning,5,\"Claire, Hazel, Rylee\"\ne37063,2020/12/17,in the early afternoon,34,\"Piper, Avery\"\ne37070,2020/12/18,late in the evening,22,Claire\ne37071,2020/12/18,during lunch hours,23,\"Claire, Eva, Olivia, Layla\"\ne37072,2020/12/18,in the early evening,35,\"Kinsley, Nora, Hazel\"\ne37079,2020/12/19,in the late afternoon,29,Layla\ne37080,2020/12/19,during lunch hours,54,\"Kinsley, Piper, Piper\"\ne37087,2020/12/20,in the morning,9,\"Avery, Nora\"\ne37088,2020/12/20,in the early afternoon,19,Layla\ne37089,2020/12/20,late in the evening,17,\"Kinsley, Claire, Layla, Hazel\"\ne37095,2020/12/21,in the early evening,36,\"Lydia, Rylee\"\ne37096,2020/12/21,in the late afternoon,37,\"Claire, Kinsley, Nevaeh, Piper\"\ne37097,2020/12/21,during lunch hours,25,\"Lydia, Olivia\"\ne37098,2020/12/21,in the early evening,12,Nora\ne37105,2020/12/22,late in the evening,44,Nora\ne37106,2020/12/22,in the early evening,30,\"Olivia, Hazel, Piper\"\ne37107,2020/12/22,in the morning,16,\"Layla, Hazel, Piper\"\ne37114,2020/12/23,during lunch hours,14,\"Eva, Avery, Nevaeh, Claire\"\ne37115,2020/12/23,in the early evening,39,Hazel\ne37116,2020/12/23,in the late afternoon,34,\"Nora, Claire, Hazel\"\ne37117,2020/12/23,in the morning,24,\"Lydia, Layla\"\ne37124,2020/12/24,in the early afternoon,29,\"Nevaeh, Claire\"\ne37125,2020/12/24,in the early evening,50,Olivia\ne37126,2020/12/24,in the early afternoon,21,\"Rylee, Nora\"\ne37133,2020/12/25,in the early afternoon,54,Olivia\ne37134,2020/12/25,in the early afternoon,41,\"Nevaeh, Olivia, Nora, Piper\"\ne37141,2020/12/26,in the morning,6,\"Eva, Layla, Nora\"\ne37142,2020/12/26,in the late afternoon,20,Piper\ne37143,2020/12/26,in the early evening,5,Piper\ne37150,2020/12/27,in the early evening,33,\"Rylee, Claire\"\ne37151,2020/12/27,in the early evening,13,Claire\ne37158,2020/12/28,in the late afternoon,35,\"Avery, Hazel, Nora\"\ne37159,2020/12/28,in the early evening,7,\"Kinsley, Hazel\"\ne37160,2020/12/28,during lunch hours,6,\"Hazel, Nora, Olivia\"\ne37167,2020/12/29,in the early evening,49,\"Kinsley, Piper, Avery, Olivia\"\ne37168,2020/12/29,in the early afternoon,28,\"Avery, Lydia, Rylee\"\ne37169,2020/12/29,in the early afternoon,17,\"Nora, Rylee, Olivia, Avery\"\ne37176,2020/12/30,in the morning,41,\"Piper, Layla, Eva, Olivia\"\ne37177,2020/12/30,late in the evening,10,\"Hazel, Avery\"\ne37184,2020/12/31,during lunch hours,29,\"Piper, Claire, Eva\"\ne37185,2020/12/31,in the morning,38,\"Olivia, Nora, Claire\"\ne37186,2020/12/31,late in the evening,44,\"Piper, Claire, Lydia\"\ne37399,2021/01/01,during lunch hours,47,Rylee\ne37400,2021/01/01,late in the evening,39,Rylee\ne37406,2021/01/02,in the morning,8,Piper\ne37407,2021/01/02,in the morning,33,\"Layla, Kinsley, Eva\"\ne37413,2021/01/03,in the late afternoon,51,\"Layla, Lydia\"\ne37414,2021/01/03,in the morning,39,\"Rylee, Claire, Eva, Piper\"\ne37415,2021/01/03,during lunch hours,38,\"Layla, Eva, Nevaeh\"\ne37422,2021/01/04,during lunch hours,7,\"Rylee, Nevaeh, Olivia\"\ne37423,2021/01/04,in the early afternoon,30,\"Claire, Nevaeh\"\ne37430,2021/01/05,during lunch hours,23,Avery\ne37431,2021/01/05,in the morning,48,\"Rylee, Nevaeh, Claire, Piper\"\ne37432,2021/01/05,in the morning,7,\"Piper, Nora\"\ne37439,2021/01/06,in the early evening,38,\"Hazel, Piper\"\ne37440,2021/01/06,in the morning,55,\"Claire, Avery, Nevaeh\"\ne37441,2021/01/06,late in the evening,51,\"Eva, Claire, Piper, Kinsley\"\ne37448,2021/01/07,in the early afternoon,51,Claire\ne37455,2021/01/08,late in the evening,32,\"Rylee, Eva, Lydia\"\ne37456,2021/01/08,in the early afternoon,30,\"Avery, Hazel, Claire, Eva\"\ne37463,2021/01/09,during lunch hours,36,\"Piper, Nora, Rylee, Piper\"\ne37464,2021/01/09,late in the evening,36,\"Kinsley, Piper\"\ne37465,2021/01/09,in the early evening,37,\"Avery, Piper\"\ne37472,2021/01/10,in the late afternoon,50,\"Kinsley, Piper\"\ne37473,2021/01/10,late in the evening,16,Kinsley\ne37479,2021/01/11,late in the evening,51,Nora\ne37480,2021/01/11,in the late afternoon,11,\"Avery, Claire\"\ne37481,2021/01/11,in the late afternoon,18,\"Nevaeh, Claire\"\ne37487,2021/01/12,in the early evening,46,\"Avery, Layla\"\ne37488,2021/01/12,in the early afternoon,54,\"Piper, Olivia, Hazel\"\ne37494,2021/01/13,late in the evening,37,\"Rylee, Piper, Olivia\"\ne37495,2021/01/13,in the late afternoon,27,\"Piper, Olivia\"\ne37496,2021/01/13,in the late afternoon,38,Nevaeh\ne37502,2021/01/14,late in the evening,5,\"Rylee, Olivia, Layla\"\ne37503,2021/01/14,during lunch hours,49,\"Rylee, Hazel, Kinsley\"\ne37504,2021/01/14,in the late afternoon,41,\"Rylee, Eva, Layla, Nora\"\ne37511,2021/01/15,in the early afternoon,36,\"Eva, Nora\"\ne37512,2021/01/15,in the late afternoon,6,Layla\ne37518,2021/01/16,in the morning,9,Lydia\ne37519,2021/01/16,in the early afternoon,17,\"Nevaeh, Avery, Rylee, Claire\"\ne37520,2021/01/16,during lunch hours,47,Nora\ne37526,2021/01/17,in the early evening,28,Lydia\ne37527,2021/01/17,in the late afternoon,13,\"Eva, Nevaeh, Rylee, Kinsley\"\ne37528,2021/01/17,in the morning,39,Piper\ne37535,2021/01/18,in the morning,18,\"Avery, Lydia, Hazel, Rylee\"\ne37536,2021/01/18,during lunch hours,30,\"Piper, Lydia, Nora\"\ne37537,2021/01/18,in the early afternoon,36,\"Piper, Claire, Layla\"\ne37538,2021/01/18,during lunch hours,50,\"Layla, Lydia\"\ne37545,2021/01/19,during lunch hours,38,\"Layla, Eva, Piper, Nevaeh\"\ne37546,2021/01/19,during lunch hours,46,\"Eva, Piper\"\ne37553,2021/01/20,during lunch hours,19,\"Hazel, Claire, Eva\"\ne37554,2021/01/20,in the early evening,32,\"Kinsley, Rylee\"\ne37561,2021/01/21,in the early evening,8,\"Nora, Rylee, Claire\"\ne37562,2021/01/21,in the morning,14,\"Kinsley, Avery, Olivia\"\ne37569,2021/01/22,in the late afternoon,45,\"Nora, Piper\"\ne37570,2021/01/22,in the late afternoon,42,\"Rylee, Kinsley\"\ne37571,2021/01/22,late in the evening,40,\"Piper, Layla, Piper, Kinsley\"\ne37578,2021/01/23,in the early afternoon,17,\"Piper, Olivia, Avery\"\ne37579,2021/01/23,late in the evening,22,Hazel\ne37580,2021/01/23,in the morning,44,\"Layla, Nora, Hazel, Piper\"\ne37587,2021/01/24,in the early afternoon,8,\"Piper, Avery\"\ne37588,2021/01/24,during lunch hours,28,\"Nevaeh, Kinsley\"\ne37589,2021/01/24,in the early afternoon,49,\"Olivia, Piper, Hazel, Piper\"\ne37596,2021/01/25,in the early evening,31,\"Piper, Kinsley, Hazel\"\ne37603,2021/01/26,in the early evening,48,Nevaeh\ne37604,2021/01/26,in the morning,16,\"Nevaeh, Olivia, Hazel, Kinsley\"\ne37605,2021/01/26,in the early evening,38,\"Eva, Kinsley, Layla, Olivia\"\ne37612,2021/01/27,during lunch hours,17,\"Hazel, Nora\"\ne37613,2021/01/27,in the morning,45,\"Eva, Kinsley, Rylee, Layla\"\ne37620,2021/01/28,late in the evening,28,\"Lydia, Olivia\"\ne37621,2021/01/28,late in the evening,18,\"Lydia, Rylee, Piper, Nevaeh\"\ne37622,2021/01/28,in the early afternoon,6,\"Piper, Eva\"\ne37623,2021/01/28,late in the evening,38,\"Claire, Avery, Piper, Hazel\"\ne37630,2021/01/29,during lunch hours,22,\"Hazel, Nora\"\ne37631,2021/01/29,in the early evening,19,Nora\ne37632,2021/01/29,late in the evening,6,\"Lydia, Nevaeh, Olivia\"\ne37639,2021/01/30,in the late afternoon,27,\"Piper, Layla, Lydia\"\ne37640,2021/01/30,in the early evening,32,\"Avery, Claire\"\ne37641,2021/01/30,in the early afternoon,6,\"Nevaeh, Lydia\"\ne37642,2021/01/30,during lunch hours,35,\"Piper, Hazel, Nevaeh\"\ne37649,2021/01/31,in the early evening,49,Rylee\ne37650,2021/01/31,in the early evening,31,\"Rylee, Hazel, Avery, Eva\"\ne37656,2021/02/01,in the late afternoon,47,\"Eva, Nora\"\ne37663,2021/02/02,in the early evening,12,Claire\ne37664,2021/02/02,in the early afternoon,51,\"Layla, Claire, Olivia\"\ne37665,2021/02/02,late in the evening,12,Piper\ne37672,2021/02/03,in the early evening,39,\"Olivia, Nevaeh, Layla\"\ne37673,2021/02/03,during lunch hours,9,\"Piper, Hazel, Piper, Claire\"\ne37674,2021/02/03,in the late afternoon,10,\"Rylee, Claire, Lydia\"\ne37681,2021/02/04,during lunch hours,28,\"Avery, Piper\"\ne37682,2021/02/04,late in the evening,35,\"Hazel, Olivia\"\ne37689,2021/02/05,in the late afternoon,34,\"Claire, Avery, Kinsley, Rylee\"\ne37690,2021/02/05,late in the evening,42,Nora\ne37691,2021/02/05,in the late afternoon,21,\"Nevaeh, Kinsley, Claire, Hazel\"\ne37698,2021/02/06,in the morning,43,\"Layla, Rylee, Lydia, Avery\"\ne37699,2021/02/06,in the early evening,51,Olivia\ne37700,2021/02/06,in the early evening,17,\"Nevaeh, Piper\"\ne37707,2021/02/07,in the late afternoon,7,\"Kinsley, Lydia, Nevaeh, Hazel\"\ne37708,2021/02/07,in the morning,32,\"Nevaeh, Olivia, Avery\"\ne37709,2021/02/07,during lunch hours,36,Claire\ne37716,2021/02/08,during lunch hours,47,Nora\ne37717,2021/02/08,in the morning,38,\"Hazel, Olivia, Nevaeh, Nora\"\ne37718,2021/02/08,in the early afternoon,32,\"Hazel, Claire, Kinsley\"\ne37719,2021/02/08,in the morning,41,\"Kinsley, Layla\"\ne37726,2021/02/09,in the late afternoon,24,\"Olivia, Piper\"\ne37727,2021/02/09,in the early evening,49,\"Piper, Piper\"\ne37728,2021/02/09,in the early evening,19,\"Rylee, Avery, Nora, Kinsley\"\ne37729,2021/02/09,late in the evening,41,Hazel\ne37736,2021/02/10,during lunch hours,36,\"Avery, Rylee, Nevaeh\"\ne37737,2021/02/10,in the late afternoon,37,\"Piper, Kinsley, Avery, Piper\"\ne37744,2021/02/11,in the morning,11,\"Hazel, Piper, Eva, Lydia\"\ne37750,2021/02/12,in the early evening,35,\"Piper, Nora\"\ne37751,2021/02/12,in the early evening,7,Olivia\ne37758,2021/02/13,in the early afternoon,42,\"Piper, Olivia\"\ne37759,2021/02/13,in the morning,23,\"Hazel, Avery, Kinsley, Nevaeh\"\ne37760,2021/02/13,in the morning,30,\"Claire, Lydia, Nevaeh, Avery\"\ne37766,2021/02/14,during lunch hours,40,\"Piper, Kinsley, Piper\"\ne37767,2021/02/14,in the late afternoon,49,\"Avery, Hazel\"\ne37768,2021/02/14,in the early afternoon,10,\"Nevaeh, Piper\"\ne37775,2021/02/15,late in the evening,51,\"Olivia, Nora\"\ne37776,2021/02/15,in the morning,6,\"Hazel, Avery, Nevaeh\"\ne37777,2021/02/15,in the early afternoon,46,\"Piper, Piper\"\ne37784,2021/02/16,in the late afternoon,30,\"Rylee, Claire\"\ne37785,2021/02/16,in the late afternoon,53,\"Avery, Hazel, Lydia\"\ne37792,2021/02/17,during lunch hours,44,\"Rylee, Eva\"\ne37793,2021/02/17,in the early afternoon,52,\"Piper, Piper\"\ne37794,2021/02/17,in the late afternoon,39,\"Nevaeh, Rylee\"\ne37801,2021/02/18,in the morning,13,\"Nevaeh, Rylee, Olivia\"\ne37802,2021/02/18,during lunch hours,35,Piper\ne37803,2021/02/18,during lunch hours,30,\"Nora, Hazel, Layla, Piper\"\ne37810,2021/02/19,in the morning,34,\"Nevaeh, Rylee\"\ne37811,2021/02/19,late in the evening,52,\"Nora, Kinsley\"\ne37817,2021/02/20,in the early evening,38,\"Nora, Hazel\"\ne37818,2021/02/20,in the early evening,28,\"Piper, Rylee, Hazel\"\ne37825,2021/02/21,in the morning,7,Lydia\ne37826,2021/02/21,in the early afternoon,10,\"Nevaeh, Kinsley\"\ne37833,2021/02/22,in the late afternoon,50,Piper\ne37834,2021/02/22,in the morning,9,\"Lydia, Rylee\"\ne37835,2021/02/22,in the early afternoon,22,Piper\ne37842,2021/02/23,in the late afternoon,47,\"Hazel, Eva, Nora\"\ne37843,2021/02/23,in the early afternoon,37,\"Rylee, Nevaeh, Nora, Layla\"\ne37844,2021/02/23,in the early evening,42,\"Avery, Layla\"\ne37851,2021/02/24,in the late afternoon,45,\"Layla, Olivia, Eva\"\ne37852,2021/02/24,during lunch hours,8,\"Layla, Hazel\"\ne37853,2021/02/24,in the early afternoon,42,Avery\ne37860,2021/02/25,in the late afternoon,38,\"Rylee, Lydia, Hazel\"\ne37861,2021/02/25,in the early evening,43,Kinsley\ne37868,2021/02/26,late in the evening,37,\"Hazel, Rylee, Piper\"\ne37869,2021/02/26,in the early evening,50,\"Avery, Piper\"\ne37870,2021/02/26,in the late afternoon,18,\"Nevaeh, Avery, Claire, Olivia\"\ne37871,2021/02/26,during lunch hours,38,Lydia\ne37878,2021/02/27,late in the evening,9,\"Piper, Lydia\"\ne37879,2021/02/27,in the early evening,49,\"Piper, Eva\"\ne37880,2021/02/27,in the late afternoon,28,\"Piper, Kinsley\"\ne37887,2021/02/28,late in the evening,13,\"Kinsley, Piper\"\ne37888,2021/02/28,in the late afternoon,41,Hazel\ne37889,2021/02/28,in the early evening,12,\"Lydia, Piper, Piper\"\ne37895,2021/03/01,in the morning,39,Hazel\ne37896,2021/03/01,in the late afternoon,13,Kinsley\ne37897,2021/03/01,in the morning,28,Hazel\ne37904,2021/03/02,in the early afternoon,25,Piper\ne37905,2021/03/02,in the early afternoon,33,\"Nevaeh, Olivia, Eva\"\ne37906,2021/03/02,in the morning,41,\"Olivia, Nora\"\ne37913,2021/03/03,during lunch hours,13,Nora\ne37914,2021/03/03,in the late afternoon,33,\"Hazel, Avery, Piper\"\ne37915,2021/03/03,in the morning,5,Eva\ne37922,2021/03/04,in the early evening,24,Lydia\ne37929,2021/03/05,in the early afternoon,21,\"Hazel, Eva\"\ne37930,2021/03/05,in the early afternoon,55,\"Rylee, Nevaeh, Piper\"\ne37937,2021/03/06,late in the evening,24,\"Hazel, Nevaeh, Claire, Piper\"\ne37938,2021/03/06,late in the evening,49,Avery\ne37939,2021/03/06,late in the evening,25,\"Piper, Lydia, Nora\"\ne37946,2021/03/07,in the late afternoon,12,\"Eva, Rylee\"\ne37947,2021/03/07,in the early afternoon,40,\"Avery, Rylee, Piper, Olivia\"\ne37954,2021/03/08,in the early evening,31,Avery\ne37955,2021/03/08,during lunch hours,17,Avery\ne37956,2021/03/08,in the late afternoon,35,Layla\ne37963,2021/03/09,during lunch hours,53,Layla\ne37964,2021/03/09,in the early evening,20,\"Nevaeh, Avery\"\ne37965,2021/03/09,in the late afternoon,16,\"Nevaeh, Lydia\"\ne37966,2021/03/09,in the early evening,24,Kinsley\ne37973,2021/03/10,in the early evening,10,\"Piper, Eva, Claire\"\ne37974,2021/03/10,in the early afternoon,37,\"Claire, Layla, Eva\"\ne37975,2021/03/10,in the late afternoon,26,\"Piper, Rylee, Layla, Piper\"\ne37982,2021/03/11,in the morning,8,\"Kinsley, Nora, Piper\"\ne37983,2021/03/11,in the morning,11,Kinsley\ne37984,2021/03/11,in the morning,20,\"Piper, Avery, Claire\"\ne37991,2021/03/12,in the late afternoon,9,\"Piper, Kinsley\"\ne37992,2021/03/12,in the late afternoon,29,Layla\ne37993,2021/03/12,during lunch hours,28,Hazel\ne38000,2021/03/13,in the late afternoon,21,\"Avery, Olivia, Piper\"\ne38001,2021/03/13,in the morning,48,Piper\ne38008,2021/03/14,in the morning,47,Nevaeh\ne38009,2021/03/14,in the late afternoon,47,\"Nevaeh, Piper, Claire, Olivia\"\ne38010,2021/03/14,in the early afternoon,39,Nevaeh\ne38016,2021/03/15,late in the evening,51,\"Nevaeh, Layla, Lydia, Hazel\"\ne38017,2021/03/15,during lunch hours,53,\"Olivia, Claire, Lydia\"\ne38023,2021/03/16,in the early evening,48,\"Piper, Claire\"\ne38024,2021/03/16,during lunch hours,45,\"Nora, Lydia, Nevaeh\"\ne38031,2021/03/17,in the early evening,18,\"Claire, Rylee, Olivia\"\ne38038,2021/03/18,in the early evening,52,\"Rylee, Avery, Kinsley, Lydia\"\ne38045,2021/03/19,late in the evening,39,\"Hazel, Piper, Olivia, Eva\"\ne38046,2021/03/19,in the early evening,45,\"Lydia, Hazel\"\ne38053,2021/03/20,in the early afternoon,30,\"Lydia, Claire, Hazel\"\ne38054,2021/03/20,late in the evening,10,\"Claire, Olivia\"\ne38055,2021/03/20,during lunch hours,28,\"Kinsley, Piper\"\ne38062,2021/03/21,in the late afternoon,15,\"Hazel, Claire\"\ne38063,2021/03/21,late in the evening,31,\"Kinsley, Piper, Piper\"\ne38070,2021/03/22,in the morning,41,\"Rylee, Avery, Piper\"\ne38071,2021/03/22,in the early afternoon,30,\"Piper, Nevaeh\"\ne38072,2021/03/22,during lunch hours,30,\"Rylee, Olivia\"\ne38079,2021/03/23,in the early afternoon,25,\"Rylee, Kinsley, Nevaeh\"\ne38080,2021/03/23,in the early evening,40,\"Lydia, Rylee, Eva, Hazel\"\ne38081,2021/03/23,in the morning,43,Nevaeh\ne38088,2021/03/24,during lunch hours,47,\"Kinsley, Hazel\"\ne38089,2021/03/24,in the morning,10,\"Kinsley, Piper\"\ne38090,2021/03/24,in the early afternoon,8,\"Nora, Avery, Rylee, Kinsley\"\ne38097,2021/03/25,during lunch hours,10,\"Lydia, Piper, Avery, Piper\"\ne38098,2021/03/25,late in the evening,46,\"Olivia, Nora, Avery\"\ne38099,2021/03/25,in the early evening,40,Piper\ne38106,2021/03/26,in the early evening,16,\"Kinsley, Layla\"\ne38112,2021/03/27,late in the evening,11,\"Kinsley, Avery, Layla\"\ne38119,2021/03/28,late in the evening,24,\"Avery, Eva\"\ne38120,2021/03/28,in the early afternoon,13,Piper\ne38127,2021/03/29,in the early evening,21,\"Layla, Lydia, Avery, Nevaeh\"\ne38128,2021/03/29,in the early evening,44,Olivia\ne38129,2021/03/29,in the late afternoon,38,\"Rylee, Lydia, Claire\"\ne38130,2021/03/29,during lunch hours,47,\"Claire, Hazel, Kinsley, Piper\"\ne38137,2021/03/30,during lunch hours,14,\"Kinsley, Avery, Hazel, Claire\"\ne38138,2021/03/30,in the late afternoon,45,\"Nora, Lydia, Piper, Kinsley\"\ne38139,2021/03/30,late in the evening,14,\"Piper, Layla\"\ne38146,2021/03/31,during lunch hours,9,\"Kinsley, Eva\"\ne38153,2021/04/01,in the early evening,53,\"Piper, Layla, Claire, Nora\"\ne38154,2021/04/01,in the early afternoon,32,\"Claire, Lydia\"\ne38155,2021/04/01,in the early evening,44,Piper\ne38156,2021/04/01,in the late afternoon,53,Claire\ne38163,2021/04/02,in the early afternoon,49,\"Rylee, Kinsley\"\ne38164,2021/04/02,during lunch hours,30,\"Hazel, Layla\"\ne38165,2021/04/02,in the late afternoon,30,\"Hazel, Piper\"\ne38172,2021/04/03,in the late afternoon,55,\"Piper, Piper, Olivia, Layla\"\ne38173,2021/04/03,in the morning,33,\"Olivia, Avery, Hazel\"\ne38179,2021/04/04,in the early evening,37,\"Piper, Nora, Kinsley, Layla\"\ne38180,2021/04/04,in the morning,30,Claire\ne38181,2021/04/04,in the morning,35,Claire\ne38182,2021/04/04,in the late afternoon,21,\"Olivia, Hazel, Nora, Layla\"\ne38189,2021/04/05,late in the evening,32,\"Nevaeh, Piper, Rylee\"\ne38190,2021/04/05,in the morning,50,\"Kinsley, Piper, Piper\"\ne38191,2021/04/05,during lunch hours,43,Avery\ne38198,2021/04/06,late in the evening,9,\"Nora, Rylee, Nevaeh\"\ne38199,2021/04/06,in the morning,29,\"Piper, Kinsley, Rylee\"\ne38206,2021/04/07,in the late afternoon,13,Kinsley\ne38207,2021/04/07,in the late afternoon,49,Piper\ne38208,2021/04/07,in the morning,23,\"Kinsley, Hazel, Piper\"\ne38215,2021/04/08,late in the evening,52,\"Hazel, Olivia, Piper\"\ne38216,2021/04/08,in the morning,38,\"Eva, Avery, Nevaeh, Kinsley\"\ne38217,2021/04/08,in the morning,33,\"Layla, Rylee\"\ne38224,2021/04/09,in the late afternoon,53,\"Eva, Kinsley\"\ne38225,2021/04/09,during lunch hours,37,Eva\ne38226,2021/04/09,in the early evening,45,Hazel\ne38233,2021/04/10,in the late afternoon,43,Piper\ne38234,2021/04/10,during lunch hours,31,\"Nevaeh, Claire, Kinsley\"\ne38241,2021/04/11,in the late afternoon,14,\"Eva, Avery\"\ne38242,2021/04/11,in the early evening,48,\"Claire, Kinsley, Lydia\"\ne38249,2021/04/12,late in the evening,20,\"Piper, Kinsley, Nevaeh, Eva\"\ne38250,2021/04/12,in the late afternoon,32,\"Kinsley, Claire, Eva, Rylee\"\ne38257,2021/04/13,in the early evening,7,\"Avery, Lydia, Eva\"\ne38258,2021/04/13,in the late afternoon,7,Lydia\ne38259,2021/04/13,in the early evening,46,Claire\ne38265,2021/04/14,in the early evening,26,\"Nevaeh, Claire\"\ne38266,2021/04/14,in the late afternoon,26,\"Nevaeh, Layla, Claire, Nora\"\ne38267,2021/04/14,in the late afternoon,47,\"Claire, Piper, Olivia\"\ne38274,2021/04/15,in the morning,20,Claire\ne38275,2021/04/15,late in the evening,32,\"Olivia, Avery\"\ne38282,2021/04/16,in the early evening,33,\"Hazel, Piper\"\ne38283,2021/04/16,during lunch hours,31,\"Piper, Rylee\"\ne38284,2021/04/16,in the early evening,27,\"Piper, Piper, Kinsley\"\ne38291,2021/04/17,late in the evening,27,\"Nora, Claire\"\ne38292,2021/04/17,in the late afternoon,10,Layla\ne38293,2021/04/17,in the morning,21,Kinsley\ne38294,2021/04/17,during lunch hours,19,\"Claire, Kinsley, Rylee, Hazel\"\ne38301,2021/04/18,in the early afternoon,43,\"Rylee, Piper\"\ne38302,2021/04/18,in the morning,30,\"Avery, Lydia\"\ne38303,2021/04/18,late in the evening,34,\"Rylee, Claire, Eva\"\ne38310,2021/04/19,in the early afternoon,8,\"Piper, Hazel, Nora\"\ne38311,2021/04/19,in the morning,19,\"Piper, Olivia, Eva\"\ne38312,2021/04/19,late in the evening,51,\"Piper, Lydia, Avery, Kinsley\"\ne38319,2021/04/20,during lunch hours,21,\"Lydia, Layla, Avery, Claire\"\ne38325,2021/04/21,in the morning,16,\"Piper, Olivia\"\ne38326,2021/04/21,in the early evening,14,\"Layla, Avery\"\ne38327,2021/04/21,in the late afternoon,22,Avery\ne38328,2021/04/21,in the early evening,20,Piper\ne38335,2021/04/22,in the morning,22,\"Piper, Kinsley\"\ne38336,2021/04/22,in the early evening,32,\"Olivia, Piper, Nora, Piper\"\ne38343,2021/04/23,in the morning,53,\"Nevaeh, Rylee, Nora\"\ne38344,2021/04/23,in the early evening,51,\"Kinsley, Olivia\"\ne38345,2021/04/23,in the morning,42,\"Piper, Eva\"\ne38346,2021/04/23,in the morning,54,\"Eva, Kinsley, Piper, Lydia\"\ne38353,2021/04/24,in the early afternoon,20,\"Claire, Nevaeh\"\ne38354,2021/04/24,in the early evening,20,Eva\ne38361,2021/04/25,in the early afternoon,40,\"Olivia, Hazel\"\ne38362,2021/04/25,in the early afternoon,23,\"Olivia, Eva, Rylee, Layla\"\ne38369,2021/04/26,in the late afternoon,20,\"Layla, Avery, Lydia, Eva\"\ne38370,2021/04/26,in the early evening,11,Olivia\ne38371,2021/04/26,in the early evening,35,Claire\ne38378,2021/04/27,in the early evening,20,\"Piper, Olivia, Layla\"\ne38379,2021/04/27,in the early afternoon,43,\"Nevaeh, Rylee, Layla\"\ne38380,2021/04/27,in the early afternoon,53,\"Piper, Olivia, Lydia\"\ne38386,2021/04/28,in the early evening,30,Piper\ne38387,2021/04/28,late in the evening,20,\"Eva, Hazel, Avery, Claire\"\ne38388,2021/04/28,late in the evening,6,\"Eva, Nevaeh, Olivia\"\ne38389,2021/04/28,in the early afternoon,38,\"Claire, Piper, Avery\"\ne38396,2021/04/29,in the early evening,52,\"Claire, Piper\"\ne38397,2021/04/29,in the morning,37,\"Claire, Nevaeh, Avery, Nora\"\ne38398,2021/04/29,late in the evening,36,\"Layla, Eva\"\ne38399,2021/04/29,during lunch hours,49,Olivia\ne38406,2021/04/30,in the early afternoon,52,\"Hazel, Kinsley, Rylee, Avery\"\ne38407,2021/04/30,in the morning,44,\"Eva, Nora, Kinsley, Olivia\"\ne38408,2021/04/30,late in the evening,54,Piper\ne38409,2021/04/30,in the early evening,20,\"Lydia, Piper, Piper, Hazel\"\ne38416,2021/05/01,in the late afternoon,25,\"Nora, Nevaeh, Hazel\"\ne38417,2021/05/01,in the late afternoon,25,Rylee\ne38418,2021/05/01,in the early evening,39,\"Nevaeh, Piper, Piper\"\ne38425,2021/05/02,in the late afternoon,8,\"Rylee, Nevaeh\"\ne38426,2021/05/02,late in the evening,9,\"Avery, Lydia, Piper\"\ne38433,2021/05/03,in the early afternoon,46,Piper\ne38434,2021/05/03,in the early afternoon,50,\"Piper, Avery, Claire\"\ne38441,2021/05/04,in the late afternoon,51,\"Piper, Eva, Avery\"\ne38442,2021/05/04,in the early afternoon,37,\"Eva, Hazel, Kinsley\"\ne38443,2021/05/04,in the early afternoon,37,\"Hazel, Kinsley, Avery\"\ne38450,2021/05/05,late in the evening,8,\"Lydia, Nevaeh, Hazel\"\ne38451,2021/05/05,late in the evening,27,Eva\ne38452,2021/05/05,during lunch hours,51,Claire\ne38459,2021/05/06,in the early evening,7,Hazel\ne38460,2021/05/06,late in the evening,44,\"Avery, Nora, Nevaeh\"\ne38461,2021/05/06,during lunch hours,37,Layla\ne38462,2021/05/06,during lunch hours,22,\"Kinsley, Eva, Rylee, Olivia\"\ne38469,2021/05/07,in the late afternoon,43,\"Nevaeh, Hazel\"\ne38470,2021/05/07,in the early evening,46,Rylee\ne38471,2021/05/07,late in the evening,31,\"Hazel, Avery, Piper, Piper\"\ne38472,2021/05/07,in the early evening,36,\"Nora, Layla\"\ne38479,2021/05/08,late in the evening,17,\"Nora, Rylee\"\ne38480,2021/05/08,in the morning,47,\"Nevaeh, Kinsley\"\ne38481,2021/05/08,during lunch hours,52,\"Layla, Claire\"\ne38488,2021/05/09,during lunch hours,47,\"Eva, Kinsley, Piper, Nevaeh\"\ne38489,2021/05/09,in the early afternoon,49,Layla\ne38490,2021/05/09,in the morning,47,Nora\ne38491,2021/05/09,during lunch hours,8,\"Kinsley, Olivia, Piper\"\ne38498,2021/05/10,late in the evening,38,\"Lydia, Piper, Nevaeh\"\ne38499,2021/05/10,late in the evening,28,\"Layla, Nevaeh, Claire\"\ne38506,2021/05/11,in the early evening,54,\"Rylee, Layla\"\ne38507,2021/05/11,in the early evening,37,\"Olivia, Claire, Eva\"\ne38508,2021/05/11,in the morning,19,\"Eva, Nora, Piper, Rylee\"\ne38515,2021/05/12,in the late afternoon,45,Layla\ne38516,2021/05/12,in the morning,34,\"Eva, Nora\"\ne38517,2021/05/12,in the early afternoon,11,\"Piper, Avery\"\ne38524,2021/05/13,in the early evening,49,\"Nora, Layla, Piper, Eva\"\ne38525,2021/05/13,in the early afternoon,13,\"Eva, Olivia, Hazel, Piper\"\ne38526,2021/05/13,in the morning,43,\"Eva, Rylee, Olivia, Piper\"\ne38527,2021/05/13,late in the evening,50,\"Piper, Olivia, Nora, Avery\"\ne38534,2021/05/14,in the late afternoon,24,\"Eva, Hazel\"\ne38540,2021/05/15,in the late afternoon,53,Piper\ne38541,2021/05/15,during lunch hours,32,Piper\ne38542,2021/05/15,in the early evening,14,\"Hazel, Eva, Layla, Nevaeh\"\ne38549,2021/05/16,late in the evening,13,\"Piper, Eva, Avery\"\ne38550,2021/05/16,in the late afternoon,51,Nevaeh\ne38551,2021/05/16,in the early afternoon,23,\"Nora, Nevaeh, Avery, Kinsley\"\ne38552,2021/05/16,in the morning,21,\"Hazel, Eva, Piper, Nora\"\ne38559,2021/05/17,in the late afternoon,25,\"Nevaeh, Rylee, Layla\"\ne38560,2021/05/17,late in the evening,28,\"Eva, Nevaeh, Rylee, Avery\"\ne38561,2021/05/17,late in the evening,20,\"Claire, Hazel\"\ne38568,2021/05/18,in the morning,39,\"Lydia, Piper\"\ne38569,2021/05/18,in the late afternoon,42,\"Olivia, Nevaeh, Hazel\"\ne38570,2021/05/18,in the morning,12,\"Avery, Layla, Nora, Lydia\"\ne38577,2021/05/19,late in the evening,16,\"Lydia, Piper, Nevaeh, Hazel\"\ne38578,2021/05/19,in the morning,42,Layla\ne38579,2021/05/19,late in the evening,39,Piper\ne38586,2021/05/20,late in the evening,52,\"Kinsley, Nora, Lydia\"\ne38587,2021/05/20,in the late afternoon,38,Lydia\ne38588,2021/05/20,in the early afternoon,23,Lydia\ne38589,2021/05/20,in the morning,18,Hazel\ne38596,2021/05/21,in the morning,35,Olivia\ne38597,2021/05/21,during lunch hours,12,Nevaeh\ne38604,2021/05/22,in the early afternoon,14,Eva\ne38605,2021/05/22,in the early afternoon,5,\"Claire, Eva, Avery\"\ne38606,2021/05/22,late in the evening,42,\"Lydia, Piper\"\ne38613,2021/05/23,in the late afternoon,49,Hazel\ne38614,2021/05/23,in the early afternoon,45,Avery\ne38621,2021/05/24,late in the evening,29,\"Kinsley, Hazel\"\ne38622,2021/05/24,in the late afternoon,23,\"Nevaeh, Layla, Avery\"\ne38623,2021/05/24,in the early evening,10,\"Avery, Eva\"\ne38630,2021/05/25,during lunch hours,42,\"Claire, Eva, Piper, Avery\"\ne38631,2021/05/25,late in the evening,6,\"Nora, Piper\"\ne38632,2021/05/25,late in the evening,50,Rylee\ne38633,2021/05/25,late in the evening,52,\"Nevaeh, Avery\"\ne38639,2021/05/26,in the late afternoon,35,\"Hazel, Kinsley\"\ne38640,2021/05/26,during lunch hours,14,\"Hazel, Avery\"\ne38641,2021/05/26,in the early afternoon,46,Nora\ne38648,2021/05/27,in the early evening,44,\"Olivia, Eva, Piper\"\ne38649,2021/05/27,in the early evening,10,Piper\ne38650,2021/05/27,in the late afternoon,43,\"Avery, Layla\"\ne38657,2021/05/28,in the late afternoon,12,Olivia\ne38658,2021/05/28,during lunch hours,7,Piper\ne38665,2021/05/29,late in the evening,18,\"Hazel, Nora\"\ne38666,2021/05/29,in the late afternoon,24,\"Piper, Piper, Nevaeh\"\ne38667,2021/05/29,in the early evening,48,\"Nevaeh, Piper\"\ne38674,2021/05/30,in the morning,55,\"Claire, Nora\"\ne38675,2021/05/30,in the late afternoon,19,\"Claire, Hazel\"\ne38676,2021/05/30,late in the evening,18,\"Nora, Kinsley, Lydia, Piper\"\ne38683,2021/05/31,late in the evening,25,\"Nora, Layla, Claire\"\ne38684,2021/05/31,in the early afternoon,14,Rylee\ne38685,2021/05/31,in the late afternoon,7,\"Nora, Layla\"\ne38692,2021/06/01,in the morning,31,\"Piper, Nevaeh, Claire, Kinsley\"\ne38693,2021/06/01,in the early afternoon,44,\"Claire, Piper\"\ne38700,2021/06/02,in the early evening,13,\"Eva, Kinsley, Piper, Nora\"\ne38701,2021/06/02,in the morning,26,\"Layla, Claire, Nora\"\ne38702,2021/06/02,late in the evening,12,\"Rylee, Claire, Kinsley\"\ne38709,2021/06/03,late in the evening,25,Claire\ne38710,2021/06/03,in the late afternoon,28,\"Nora, Lydia, Rylee, Kinsley\"\ne38711,2021/06/03,during lunch hours,6,\"Eva, Nora, Avery, Lydia\"\ne38718,2021/06/04,during lunch hours,20,\"Rylee, Olivia, Piper\"\ne38719,2021/06/04,in the late afternoon,50,\"Claire, Nora, Lydia, Hazel\"\ne38720,2021/06/04,in the morning,13,\"Olivia, Lydia, Claire\"\ne38721,2021/06/04,in the late afternoon,30,\"Eva, Layla\"\ne38727,2021/06/05,in the early evening,26,Layla\ne38728,2021/06/05,during lunch hours,49,\"Nora, Eva\"\ne38729,2021/06/05,late in the evening,21,\"Piper, Eva\"\ne38736,2021/06/06,during lunch hours,42,\"Eva, Piper, Nevaeh, Claire\"\ne38737,2021/06/06,late in the evening,20,\"Kinsley, Nevaeh\"\ne38738,2021/06/06,in the early afternoon,42,Lydia\ne38744,2021/06/07,during lunch hours,52,\"Eva, Nora\"\ne38745,2021/06/07,in the early evening,7,\"Piper, Hazel, Lydia\"\ne38746,2021/06/07,late in the evening,33,\"Nevaeh, Kinsley\"\ne38753,2021/06/08,in the late afternoon,7,\"Eva, Piper, Nora, Rylee\"\ne38754,2021/06/08,in the morning,36,\"Rylee, Piper, Avery\"\ne38755,2021/06/08,in the early afternoon,8,\"Piper, Olivia, Layla, Hazel\"\ne38762,2021/06/09,in the early evening,31,\"Nevaeh, Avery, Hazel, Piper\"\ne38763,2021/06/09,in the early evening,19,\"Eva, Claire, Nora, Avery\"\ne38764,2021/06/09,in the morning,41,\"Claire, Avery, Eva\"\ne38765,2021/06/09,late in the evening,22,\"Piper, Hazel\"\ne38772,2021/06/10,in the late afternoon,33,\"Piper, Nora, Claire, Kinsley\"\ne38773,2021/06/10,during lunch hours,33,\"Nora, Olivia, Layla, Piper\"\ne38774,2021/06/10,during lunch hours,32,\"Hazel, Piper\"\ne38781,2021/06/11,during lunch hours,18,\"Claire, Layla, Nora\"\ne38782,2021/06/11,during lunch hours,12,Avery\ne38783,2021/06/11,in the late afternoon,14,\"Layla, Lydia\"\ne38784,2021/06/11,in the late afternoon,20,\"Nevaeh, Lydia\"\ne38790,2021/06/12,during lunch hours,49,\"Piper, Hazel, Rylee, Claire\"\ne38791,2021/06/12,in the late afternoon,10,\"Layla, Piper\"\ne38792,2021/06/12,in the early evening,18,Rylee\ne38793,2021/06/12,in the morning,25,Piper\ne38800,2021/06/13,during lunch hours,27,\"Rylee, Claire\"\ne38801,2021/06/13,in the early afternoon,55,\"Piper, Layla, Lydia, Kinsley\"\ne38808,2021/06/14,in the early evening,26,\"Avery, Piper\"\ne38809,2021/06/14,during lunch hours,29,Piper\ne38810,2021/06/14,in the late afternoon,28,\"Olivia, Lydia, Layla, Claire\"\ne38817,2021/06/15,late in the evening,50,Claire\ne38818,2021/06/15,late in the evening,37,\"Layla, Nora, Avery, Eva\"\ne38825,2021/06/16,during lunch hours,54,Eva\ne38826,2021/06/16,in the early evening,12,\"Olivia, Rylee, Kinsley\"\ne38827,2021/06/16,in the late afternoon,12,\"Lydia, Hazel, Eva\"\ne38834,2021/06/17,during lunch hours,25,\"Layla, Piper, Lydia, Avery\"\ne38835,2021/06/17,in the early evening,49,\"Lydia, Hazel, Avery, Eva\"\ne38836,2021/06/17,late in the evening,45,Claire\ne38843,2021/06/18,in the morning,18,\"Claire, Avery\"\ne38844,2021/06/18,in the early evening,55,\"Lydia, Avery, Piper, Claire\"\ne38845,2021/06/18,late in the evening,18,\"Eva, Claire, Piper\"\ne38852,2021/06/19,during lunch hours,28,\"Nevaeh, Olivia, Layla, Rylee\"\ne38853,2021/06/19,in the late afternoon,46,\"Rylee, Avery, Kinsley, Layla\"\ne38860,2021/06/20,during lunch hours,27,\"Piper, Olivia, Nevaeh\"\ne38861,2021/06/20,late in the evening,28,\"Claire, Kinsley, Piper, Nora\"\ne38862,2021/06/20,in the early afternoon,37,\"Olivia, Piper, Hazel, Nora\"\ne38863,2021/06/20,in the morning,41,\"Lydia, Avery, Nora\"\ne38870,2021/06/21,in the late afternoon,48,\"Nevaeh, Piper\"\ne38871,2021/06/21,late in the evening,44,\"Piper, Layla, Nevaeh, Lydia\"\ne38878,2021/06/22,in the late afternoon,40,Avery\ne38879,2021/06/22,in the morning,19,\"Avery, Claire, Layla\"\ne38880,2021/06/22,late in the evening,11,\"Claire, Olivia, Piper\"\ne38881,2021/06/22,in the morning,47,\"Piper, Nevaeh, Avery\"\ne38888,2021/06/23,in the early afternoon,32,\"Lydia, Hazel, Rylee, Kinsley\"\ne38889,2021/06/23,in the early afternoon,19,\"Piper, Claire\"\ne38890,2021/06/23,late in the evening,34,\"Avery, Lydia\"\ne38897,2021/06/24,in the early afternoon,15,\"Nora, Claire\"\ne38898,2021/06/24,in the early afternoon,16,\"Kinsley, Nevaeh, Avery\"\ne38899,2021/06/24,in the early evening,21,\"Eva, Rylee, Nevaeh, Olivia\"\ne38906,2021/06/25,in the early evening,35,\"Piper, Rylee, Nevaeh, Claire\"\ne38907,2021/06/25,late in the evening,36,\"Claire, Avery, Nevaeh\"\ne38914,2021/06/26,in the morning,32,Hazel\ne38915,2021/06/26,late in the evening,32,\"Kinsley, Eva\"\ne38916,2021/06/26,in the late afternoon,22,\"Rylee, Lydia, Nora, Eva\"\ne38923,2021/06/27,in the morning,19,\"Claire, Nora, Piper\"\ne38924,2021/06/27,in the early evening,37,\"Kinsley, Eva, Layla, Olivia\"\ne38931,2021/06/28,in the early afternoon,21,Kinsley\ne38932,2021/06/28,in the late afternoon,7,\"Piper, Rylee, Hazel\"\ne38933,2021/06/28,in the early afternoon,26,\"Nevaeh, Hazel, Claire, Avery\"\ne38940,2021/06/29,in the morning,7,\"Layla, Kinsley\"\ne38941,2021/06/29,during lunch hours,6,\"Olivia, Eva\"\ne38948,2021/06/30,in the early afternoon,10,\"Layla, Olivia\"\ne38949,2021/06/30,in the late afternoon,33,\"Layla, Avery, Nora, Rylee\"\ne38950,2021/06/30,in the early afternoon,36,\"Piper, Nora, Kinsley\"\ne38951,2021/06/30,late in the evening,51,Claire\ne38958,2021/07/01,during lunch hours,6,\"Claire, Piper, Kinsley, Hazel\"\ne38959,2021/07/01,in the early evening,28,Kinsley\ne38960,2021/07/01,in the early afternoon,37,\"Hazel, Piper\"\ne38967,2021/07/02,in the late afternoon,5,Olivia\ne38968,2021/07/02,late in the evening,12,\"Nevaeh, Piper, Avery, Eva\"\ne38974,2021/07/03,late in the evening,41,\"Hazel, Layla, Olivia, Nora\"\ne38975,2021/07/03,in the late afternoon,49,\"Avery, Eva\"\ne38976,2021/07/03,late in the evening,11,\"Claire, Hazel\"\ne38977,2021/07/03,during lunch hours,28,\"Rylee, Eva, Nevaeh\"\ne38984,2021/07/04,in the early evening,14,\"Eva, Claire\"\ne38985,2021/07/04,in the early afternoon,30,\"Eva, Claire\"\ne38986,2021/07/04,in the late afternoon,16,Layla\ne38993,2021/07/05,in the early evening,43,\"Layla, Piper, Rylee\"\ne38994,2021/07/05,in the early evening,37,Claire\ne38995,2021/07/05,in the morning,9,Olivia\ne38996,2021/07/05,during lunch hours,39,\"Olivia, Hazel, Avery, Rylee\"\ne39003,2021/07/06,during lunch hours,16,\"Piper, Kinsley\"\ne39010,2021/07/07,in the early afternoon,23,\"Lydia, Layla\"\ne39011,2021/07/07,in the early evening,24,Olivia\ne39018,2021/07/08,in the late afternoon,53,\"Nora, Eva\"\ne39019,2021/07/08,in the morning,32,\"Layla, Olivia\"\ne39026,2021/07/09,late in the evening,55,\"Nora, Avery\"\ne39027,2021/07/09,late in the evening,22,\"Rylee, Avery, Piper\"\ne39028,2021/07/09,during lunch hours,40,\"Lydia, Nevaeh\"\ne39035,2021/07/10,in the early evening,53,\"Avery, Claire, Olivia, Rylee\"\ne39036,2021/07/10,in the morning,22,\"Nevaeh, Lydia, Kinsley\"\ne39037,2021/07/10,late in the evening,54,\"Rylee, Nevaeh, Olivia, Kinsley\"\ne39038,2021/07/10,during lunch hours,14,\"Olivia, Avery\"\ne39045,2021/07/11,in the morning,45,\"Avery, Piper, Kinsley\"\ne39046,2021/07/11,in the early evening,35,\"Hazel, Eva, Avery\"\ne39047,2021/07/11,late in the evening,27,Claire\ne39054,2021/07/12,during lunch hours,27,Piper\ne39061,2021/07/13,in the early afternoon,36,Avery\ne39062,2021/07/13,during lunch hours,6,Avery\ne39063,2021/07/13,in the late afternoon,34,\"Kinsley, Nevaeh, Nora, Layla\"\ne39070,2021/07/14,in the late afternoon,24,\"Avery, Nevaeh\"\ne39071,2021/07/14,in the morning,24,\"Rylee, Claire\"\ne39072,2021/07/14,late in the evening,22,\"Layla, Rylee\"\ne39079,2021/07/15,during lunch hours,39,\"Piper, Hazel\"\ne39080,2021/07/15,in the late afternoon,7,\"Rylee, Layla\"\ne39087,2021/07/16,late in the evening,8,\"Olivia, Rylee, Kinsley\"\ne39088,2021/07/16,during lunch hours,20,Lydia\ne39089,2021/07/16,in the late afternoon,31,Claire\ne39096,2021/07/17,in the late afternoon,6,\"Nora, Olivia, Nevaeh, Rylee\"\ne39097,2021/07/17,in the early evening,13,\"Olivia, Rylee\"\ne39104,2021/07/18,in the early evening,25,\"Claire, Nora, Piper, Hazel\"\ne39105,2021/07/18,in the early evening,50,\"Nevaeh, Claire, Piper, Avery\"\ne39106,2021/07/18,in the morning,11,Nevaeh\ne39107,2021/07/18,late in the evening,33,Eva\ne39114,2021/07/19,in the early afternoon,35,\"Eva, Avery\"\ne39115,2021/07/19,in the late afternoon,25,\"Lydia, Olivia, Layla\"\ne39116,2021/07/19,in the morning,10,\"Layla, Lydia, Claire, Hazel\"\ne39123,2021/07/20,late in the evening,25,\"Nora, Claire, Piper, Kinsley\"\ne39124,2021/07/20,in the morning,48,Piper\ne39131,2021/07/21,in the early afternoon,5,Claire\ne39132,2021/07/21,during lunch hours,7,\"Eva, Kinsley\"\ne39133,2021/07/21,late in the evening,48,\"Hazel, Claire, Piper, Layla\"\ne39140,2021/07/22,in the morning,17,\"Claire, Lydia, Rylee\"\ne39141,2021/07/22,during lunch hours,30,\"Layla, Hazel\"\ne39142,2021/07/22,in the early evening,7,Nora\ne39143,2021/07/22,in the late afternoon,17,\"Layla, Rylee, Claire, Nevaeh\"\ne39150,2021/07/23,in the morning,24,\"Piper, Avery, Piper, Eva\"\ne39151,2021/07/23,in the early afternoon,26,Nevaeh\ne39152,2021/07/23,during lunch hours,48,\"Nevaeh, Avery, Claire\"\ne39159,2021/07/24,late in the evening,17,\"Olivia, Piper\"\ne39160,2021/07/24,late in the evening,42,\"Nevaeh, Layla\"\ne39161,2021/07/24,in the early afternoon,16,\"Avery, Piper, Hazel\"\ne39162,2021/07/24,in the early afternoon,52,\"Olivia, Layla, Eva\"\ne39168,2021/07/25,in the early afternoon,25,\"Rylee, Nevaeh, Piper\"\ne39169,2021/07/25,in the morning,18,Olivia\ne39176,2021/07/26,in the early evening,15,\"Piper, Nora, Avery, Lydia\"\ne39177,2021/07/26,in the morning,46,\"Eva, Claire, Lydia, Avery\"\ne39184,2021/07/27,in the early evening,38,\"Hazel, Lydia, Eva, Nevaeh\"\ne39185,2021/07/27,during lunch hours,30,Piper\ne39186,2021/07/27,during lunch hours,18,\"Eva, Nevaeh, Claire, Piper\"\ne39193,2021/07/28,during lunch hours,25,Eva\ne39194,2021/07/28,in the morning,38,\"Olivia, Piper\"\ne39195,2021/07/28,during lunch hours,8,\"Layla, Lydia\"\ne39202,2021/07/29,late in the evening,34,\"Avery, Nora\"\ne39203,2021/07/29,in the late afternoon,47,Rylee\ne39204,2021/07/29,late in the evening,16,\"Lydia, Olivia\"\ne39211,2021/07/30,in the late afternoon,21,Nevaeh\ne39212,2021/07/30,in the morning,47,\"Lydia, Eva, Claire\"\ne39213,2021/07/30,in the late afternoon,16,\"Olivia, Hazel, Rylee, Avery\"\ne39219,2021/07/31,in the late afternoon,33,\"Eva, Nora, Lydia, Olivia\"\ne39220,2021/07/31,late in the evening,12,Eva\ne39221,2021/07/31,during lunch hours,53,Layla\ne39228,2021/08/01,in the late afternoon,10,\"Claire, Rylee\"\ne39229,2021/08/01,in the early evening,27,\"Nora, Hazel\"\ne39230,2021/08/01,in the morning,20,\"Avery, Eva, Layla\"\ne39231,2021/08/01,in the early evening,30,Nora\ne39238,2021/08/02,in the early afternoon,41,\"Piper, Layla, Eva, Nora\"\ne39239,2021/08/02,in the early evening,23,\"Olivia, Hazel\"\ne39240,2021/08/02,in the early evening,52,Avery\ne39247,2021/08/03,in the late afternoon,12,\"Kinsley, Lydia, Nevaeh, Claire\"\ne39248,2021/08/03,in the morning,42,\"Claire, Nevaeh\"\ne39249,2021/08/03,late in the evening,37,Nevaeh\ne39250,2021/08/03,in the early afternoon,24,Nora\ne39257,2021/08/04,in the late afternoon,39,\"Rylee, Avery, Nevaeh, Hazel\"\ne39258,2021/08/04,in the early evening,49,Eva\ne39259,2021/08/04,in the early afternoon,37,\"Nevaeh, Nora, Rylee, Piper\"\ne39266,2021/08/05,in the early evening,31,\"Piper, Lydia, Hazel\"\ne39267,2021/08/05,late in the evening,11,\"Rylee, Kinsley, Nevaeh\"\ne39274,2021/08/06,in the morning,24,\"Nevaeh, Olivia\"\ne39275,2021/08/06,in the late afternoon,47,Claire\ne39276,2021/08/06,in the early afternoon,20,Piper\ne39283,2021/08/07,in the morning,34,\"Nora, Rylee, Kinsley\"\ne39284,2021/08/07,in the early evening,39,\"Rylee, Hazel, Piper, Lydia\"\ne39285,2021/08/07,in the early afternoon,25,\"Hazel, Avery, Layla\"\ne39286,2021/08/07,in the early afternoon,28,\"Rylee, Kinsley\"\ne39293,2021/08/08,late in the evening,22,\"Nevaeh, Layla, Kinsley, Nora\"\ne39299,2021/08/09,during lunch hours,30,\"Olivia, Lydia, Eva\"\ne39300,2021/08/09,late in the evening,53,\"Eva, Rylee, Claire, Nevaeh\"\ne39301,2021/08/09,during lunch hours,34,\"Piper, Rylee\"\ne39302,2021/08/09,in the early afternoon,9,\"Piper, Eva\"\ne39309,2021/08/10,in the early afternoon,20,\"Kinsley, Lydia, Olivia, Piper\"\ne39310,2021/08/10,in the early evening,14,\"Kinsley, Piper\"\ne39311,2021/08/10,in the early evening,20,\"Lydia, Claire\"\ne39318,2021/08/11,in the late afternoon,43,\"Piper, Nevaeh, Nora, Lydia\"\ne39319,2021/08/11,during lunch hours,51,\"Layla, Hazel\"\ne39320,2021/08/11,in the late afternoon,18,\"Olivia, Nora\"\ne39327,2021/08/12,during lunch hours,35,Piper\ne39328,2021/08/12,during lunch hours,29,\"Nora, Nevaeh\"\ne39329,2021/08/12,during lunch hours,20,\"Nora, Piper, Lydia\"\ne39336,2021/08/13,in the morning,51,\"Piper, Hazel, Layla\"\ne39337,2021/08/13,late in the evening,37,\"Piper, Claire\"\ne39338,2021/08/13,in the morning,9,\"Rylee, Nora, Layla, Piper\"\ne39345,2021/08/14,in the early evening,17,\"Rylee, Eva, Olivia\"\ne39346,2021/08/14,during lunch hours,40,Eva\ne39353,2021/08/15,in the morning,18,\"Piper, Layla, Eva\"\ne39354,2021/08/15,in the early evening,48,Lydia\ne39361,2021/08/16,during lunch hours,27,\"Claire, Hazel, Kinsley, Piper\"\ne39362,2021/08/16,in the early afternoon,35,\"Piper, Lydia\"\ne39363,2021/08/16,during lunch hours,44,\"Eva, Nevaeh, Claire, Piper\"\ne39370,2021/08/17,in the early afternoon,46,Eva\ne39371,2021/08/17,in the late afternoon,49,\"Nora, Hazel, Layla, Olivia\"\ne39372,2021/08/17,in the early evening,25,\"Claire, Piper\"\ne39373,2021/08/17,in the early afternoon,20,\"Hazel, Claire, Nora, Piper\"\ne39380,2021/08/18,during lunch hours,35,\"Eva, Olivia\"\ne39381,2021/08/18,during lunch hours,42,\"Layla, Olivia, Hazel\"\ne39382,2021/08/18,in the early evening,15,\"Claire, Nevaeh\"\ne39383,2021/08/18,during lunch hours,15,Olivia\ne39389,2021/08/19,in the early afternoon,6,\"Kinsley, Lydia, Piper, Piper\"\ne39390,2021/08/19,late in the evening,48,\"Nora, Olivia\"\ne39391,2021/08/19,in the morning,5,\"Nora, Lydia\"\ne39398,2021/08/20,in the early evening,29,\"Piper, Hazel, Nora\"\ne39399,2021/08/20,late in the evening,47,\"Piper, Lydia\"\ne39405,2021/08/21,in the late afternoon,44,\"Hazel, Rylee, Lydia, Piper\"\ne39406,2021/08/21,in the late afternoon,40,\"Claire, Piper, Nora\"\ne39407,2021/08/21,in the early evening,15,\"Hazel, Lydia, Piper\"\ne39414,2021/08/22,in the morning,35,\"Kinsley, Piper\"\ne39415,2021/08/22,in the late afternoon,49,Avery\ne39416,2021/08/22,late in the evening,44,\"Lydia, Piper, Rylee\"\ne39423,2021/08/23,in the morning,46,\"Avery, Piper, Nevaeh, Piper\"\ne39424,2021/08/23,during lunch hours,52,\"Piper, Kinsley, Hazel\"\ne39431,2021/08/24,in the early evening,36,\"Olivia, Rylee, Nora, Claire\"\ne39432,2021/08/24,in the morning,52,\"Olivia, Avery, Claire, Rylee\"\ne39433,2021/08/24,in the morning,31,\"Claire, Avery, Nevaeh, Hazel\"\ne39434,2021/08/24,in the morning,19,Nevaeh\ne39441,2021/08/25,during lunch hours,23,\"Rylee, Lydia, Nora\"\ne39442,2021/08/25,in the early afternoon,14,\"Piper, Eva, Layla, Olivia\"\ne39449,2021/08/26,in the late afternoon,31,\"Layla, Rylee, Eva, Kinsley\"\ne39450,2021/08/26,in the early evening,10,\"Nora, Lydia, Eva, Claire\"\ne39451,2021/08/26,in the late afternoon,32,\"Eva, Olivia\"\ne39458,2021/08/27,during lunch hours,6,\"Olivia, Claire, Avery, Nevaeh\"\ne39459,2021/08/27,in the late afternoon,54,\"Hazel, Kinsley, Piper, Nora\"\ne39460,2021/08/27,during lunch hours,50,\"Avery, Rylee, Layla\"\ne39461,2021/08/27,during lunch hours,48,\"Nora, Piper, Piper\"\ne39468,2021/08/28,in the morning,29,\"Claire, Eva, Layla\"\ne39469,2021/08/28,in the early afternoon,30,Rylee\ne39476,2021/08/29,in the late afternoon,42,\"Rylee, Eva\"\ne39477,2021/08/29,in the early evening,17,\"Avery, Lydia, Claire, Piper\"\ne39484,2021/08/30,in the late afternoon,42,\"Layla, Hazel, Olivia\"\ne39485,2021/08/30,during lunch hours,53,Nevaeh\ne39486,2021/08/30,in the late afternoon,37,\"Claire, Olivia, Rylee, Lydia\"\ne39493,2021/08/31,in the late afternoon,24,Hazel\ne39494,2021/08/31,in the early afternoon,37,\"Layla, Nora, Piper, Nevaeh\"\ne39501,2021/09/01,in the early afternoon,48,\"Kinsley, Layla, Lydia\"\ne39502,2021/09/01,in the early evening,33,\"Piper, Avery, Nora, Hazel\"\ne39503,2021/09/01,in the early afternoon,21,\"Piper, Layla, Piper\"\ne39509,2021/09/02,during lunch hours,51,Rylee\ne39510,2021/09/02,during lunch hours,30,\"Kinsley, Lydia, Layla\"\ne39511,2021/09/02,in the late afternoon,21,\"Piper, Layla, Rylee\"\ne39518,2021/09/03,in the late afternoon,33,\"Piper, Avery, Kinsley, Lydia\"\ne39525,2021/09/04,during lunch hours,28,\"Piper, Rylee, Hazel, Claire\"\ne39526,2021/09/04,in the early evening,44,\"Lydia, Nevaeh\"\ne39527,2021/09/04,in the late afternoon,20,\"Lydia, Eva, Piper, Hazel\"\ne39534,2021/09/05,during lunch hours,44,Layla\ne39535,2021/09/05,in the early afternoon,41,\"Piper, Lydia, Olivia\"\ne39542,2021/09/06,late in the evening,26,Eva\ne39543,2021/09/06,in the early evening,21,Rylee\ne39544,2021/09/06,late in the evening,24,\"Avery, Nevaeh\"\ne39551,2021/09/07,late in the evening,7,\"Nevaeh, Eva\"\ne39552,2021/09/07,in the early evening,52,\"Layla, Piper\"\ne39553,2021/09/07,in the early afternoon,8,\"Piper, Rylee\"\ne39560,2021/09/08,late in the evening,55,\"Hazel, Rylee\"\ne39561,2021/09/08,during lunch hours,26,\"Lydia, Piper, Kinsley\"\ne39562,2021/09/08,during lunch hours,19,Rylee\ne39569,2021/09/09,in the morning,47,Rylee\ne39570,2021/09/09,during lunch hours,28,\"Hazel, Rylee, Piper, Layla\"\ne39571,2021/09/09,during lunch hours,19,\"Layla, Eva, Piper, Hazel\"\ne39572,2021/09/09,in the early evening,38,Lydia\ne39579,2021/09/10,in the early afternoon,36,\"Nora, Rylee\"\ne39580,2021/09/10,during lunch hours,22,Piper\ne39581,2021/09/10,during lunch hours,52,\"Rylee, Nora, Kinsley, Lydia\"\ne39587,2021/09/11,in the late afternoon,10,\"Piper, Eva, Piper\"\ne39588,2021/09/11,during lunch hours,33,\"Rylee, Lydia, Kinsley\"\ne39589,2021/09/11,in the morning,29,\"Piper, Eva, Nora\"\ne39596,2021/09/12,in the late afternoon,18,\"Lydia, Eva, Avery\"\ne39603,2021/09/13,in the early afternoon,47,\"Nevaeh, Eva\"\ne39604,2021/09/13,late in the evening,15,\"Nevaeh, Piper, Claire\"\ne39611,2021/09/14,in the late afternoon,39,\"Hazel, Eva\"\ne39612,2021/09/14,late in the evening,13,\"Nevaeh, Avery, Claire, Hazel\"\ne39613,2021/09/14,during lunch hours,50,Hazel\ne39620,2021/09/15,during lunch hours,49,\"Nora, Hazel, Claire, Lydia\"\ne39621,2021/09/15,in the early afternoon,21,\"Nora, Piper\"\ne39622,2021/09/15,during lunch hours,7,\"Rylee, Claire, Piper\"\ne39629,2021/09/16,in the early afternoon,47,\"Rylee, Layla, Piper, Avery\"\ne39630,2021/09/16,in the early evening,45,\"Claire, Rylee\"\ne39631,2021/09/16,late in the evening,13,\"Rylee, Avery, Olivia\"\ne39632,2021/09/16,in the early evening,55,\"Piper, Piper, Nora\"\ne39639,2021/09/17,in the morning,41,\"Rylee, Eva, Kinsley, Layla\"\ne39640,2021/09/17,in the late afternoon,27,\"Avery, Nora\"\ne39647,2021/09/18,late in the evening,39,\"Nevaeh, Layla, Avery, Rylee\"\ne39654,2021/09/19,late in the evening,10,\"Rylee, Avery, Olivia\"\ne39655,2021/09/19,late in the evening,27,Kinsley\ne39656,2021/09/19,in the morning,21,\"Kinsley, Rylee, Nevaeh, Piper\"\ne39657,2021/09/19,late in the evening,26,\"Nevaeh, Kinsley, Piper\"\ne39664,2021/09/20,in the morning,39,\"Nora, Olivia, Claire, Hazel\"\ne39665,2021/09/20,in the early evening,35,Claire\ne39666,2021/09/20,in the early evening,31,\"Piper, Eva, Nevaeh, Avery\"\ne39673,2021/09/21,in the early afternoon,7,\"Lydia, Piper, Eva\"\ne39674,2021/09/21,in the early afternoon,12,\"Avery, Piper\"\ne39675,2021/09/21,in the early evening,14,\"Piper, Hazel, Nora\"\ne39676,2021/09/21,in the early afternoon,12,\"Layla, Rylee, Lydia, Nora\"\ne39683,2021/09/22,in the morning,22,\"Claire, Nevaeh, Avery\"\ne39690,2021/09/23,in the late afternoon,18,\"Lydia, Avery\"\ne39691,2021/09/23,during lunch hours,54,\"Layla, Eva, Lydia, Claire\"\ne39692,2021/09/23,in the early evening,22,\"Piper, Piper, Kinsley\"\ne39699,2021/09/24,in the late afternoon,14,\"Eva, Claire, Piper, Piper\"\ne39700,2021/09/24,in the morning,17,\"Olivia, Nora, Layla\"\ne39701,2021/09/24,in the late afternoon,12,\"Piper, Claire, Kinsley\"\ne39708,2021/09/25,in the late afternoon,45,\"Lydia, Nora, Rylee, Claire\"\ne39709,2021/09/25,during lunch hours,26,\"Avery, Nevaeh, Hazel\"\ne39710,2021/09/25,in the early evening,54,Kinsley\ne39717,2021/09/26,in the late afternoon,46,Lydia\ne39718,2021/09/26,late in the evening,6,Nora\ne39719,2021/09/26,during lunch hours,5,\"Hazel, Kinsley\"\ne39726,2021/09/27,late in the evening,54,\"Claire, Kinsley, Piper\"\ne39727,2021/09/27,in the morning,43,\"Piper, Rylee, Kinsley\"\ne39728,2021/09/27,in the early afternoon,47,Nora\ne39735,2021/09/28,late in the evening,12,\"Avery, Eva, Layla, Piper\"\ne39736,2021/09/28,late in the evening,17,\"Eva, Nevaeh, Hazel, Avery\"\ne39737,2021/09/28,late in the evening,17,\"Piper, Rylee\"\ne39744,2021/09/29,in the late afternoon,49,\"Lydia, Hazel, Piper\"\ne39745,2021/09/29,late in the evening,24,Olivia\ne39752,2021/09/30,late in the evening,25,\"Eva, Olivia, Rylee\"\ne39753,2021/09/30,during lunch hours,28,\"Layla, Nora, Eva\"\ne39754,2021/09/30,in the early afternoon,12,Nora\ne39761,2021/10/01,in the early afternoon,30,\"Nevaeh, Avery, Kinsley\"\ne39762,2021/10/01,in the early evening,7,\"Eva, Olivia\"\ne39763,2021/10/01,in the morning,49,Layla\ne39770,2021/10/02,in the late afternoon,48,\"Lydia, Nevaeh, Claire\"\ne39771,2021/10/02,during lunch hours,40,\"Nora, Piper\"\ne39772,2021/10/02,during lunch hours,5,\"Claire, Layla, Rylee, Avery\"\ne39773,2021/10/02,in the morning,26,\"Nevaeh, Kinsley, Layla, Avery\"\ne39780,2021/10/03,in the early evening,34,\"Olivia, Piper, Layla, Nora\"\ne39781,2021/10/03,in the early afternoon,37,\"Eva, Avery\"\ne39782,2021/10/03,during lunch hours,45,\"Nora, Avery\"\ne39789,2021/10/04,during lunch hours,27,\"Rylee, Kinsley, Lydia, Layla\"\ne39790,2021/10/04,in the late afternoon,37,\"Nora, Avery, Rylee, Layla\"\ne39791,2021/10/04,late in the evening,46,\"Claire, Piper, Nevaeh\"\ne39792,2021/10/04,in the morning,5,\"Piper, Nora, Nevaeh\"\ne39799,2021/10/05,during lunch hours,20,\"Rylee, Kinsley, Lydia, Piper\"\ne39800,2021/10/05,in the early evening,24,Nora\ne39807,2021/10/06,in the late afternoon,35,\"Rylee, Claire\"\ne39808,2021/10/06,late in the evening,42,Avery\ne39809,2021/10/06,in the morning,29,\"Piper, Eva, Hazel\"\ne39816,2021/10/07,late in the evening,43,\"Lydia, Piper\"\ne39817,2021/10/07,during lunch hours,55,\"Lydia, Piper, Layla, Hazel\"\ne39818,2021/10/07,in the late afternoon,15,\"Eva, Piper, Piper, Lydia\"\ne39825,2021/10/08,in the late afternoon,52,\"Avery, Hazel\"\ne39826,2021/10/08,late in the evening,19,\"Claire, Hazel\"\ne39827,2021/10/08,in the morning,29,\"Layla, Olivia, Lydia, Piper\"\ne39834,2021/10/09,in the morning,35,\"Olivia, Rylee, Nora, Piper\"\ne39835,2021/10/09,in the early evening,23,Nevaeh\ne39836,2021/10/09,during lunch hours,48,Nevaeh\ne39837,2021/10/09,late in the evening,20,\"Avery, Olivia, Nevaeh\"\ne39844,2021/10/10,in the early evening,36,\"Piper, Piper, Nevaeh\"\ne39845,2021/10/10,in the early afternoon,20,\"Nora, Piper, Kinsley\"\ne39852,2021/10/11,in the morning,10,\"Claire, Eva, Olivia\"\ne39853,2021/10/11,in the morning,34,\"Avery, Nevaeh\"\ne39854,2021/10/11,in the late afternoon,27,\"Kinsley, Layla\"\ne39861,2021/10/12,in the early evening,32,Olivia\ne39862,2021/10/12,in the morning,23,\"Eva, Kinsley, Hazel\"\ne39868,2021/10/13,in the early evening,52,\"Piper, Hazel, Rylee, Piper\"\ne39869,2021/10/13,in the morning,12,\"Olivia, Nora, Layla\"\ne39876,2021/10/14,in the morning,53,\"Kinsley, Claire, Eva\"\ne39877,2021/10/14,in the early evening,39,Nevaeh\ne39878,2021/10/14,in the early afternoon,33,\"Olivia, Piper\"\ne39884,2021/10/15,in the early afternoon,30,\"Piper, Olivia, Nora, Layla\"\ne39885,2021/10/15,in the early afternoon,19,\"Rylee, Layla, Claire\"\ne39892,2021/10/16,in the morning,10,\"Hazel, Claire\"\ne39893,2021/10/16,during lunch hours,13,\"Piper, Layla\"\ne39894,2021/10/16,in the late afternoon,13,\"Piper, Olivia\"\ne39895,2021/10/16,in the early afternoon,20,\"Hazel, Olivia\"\ne39902,2021/10/17,in the early afternoon,7,\"Rylee, Nevaeh\"\ne39903,2021/10/17,in the late afternoon,54,\"Claire, Eva, Layla, Piper\"\ne39904,2021/10/17,in the morning,16,\"Layla, Kinsley\"\ne39905,2021/10/17,late in the evening,47,\"Eva, Layla, Olivia, Nevaeh\"\ne39911,2021/10/18,late in the evening,22,\"Hazel, Lydia, Piper, Kinsley\"\ne39912,2021/10/18,during lunch hours,27,\"Olivia, Piper\"\ne39919,2021/10/19,late in the evening,18,\"Kinsley, Piper, Hazel\"\ne39920,2021/10/19,in the early evening,16,\"Nora, Hazel, Nevaeh\"\ne39927,2021/10/20,in the early evening,19,\"Avery, Hazel\"\ne39928,2021/10/20,in the late afternoon,18,\"Kinsley, Nevaeh, Claire, Olivia\"\ne39929,2021/10/20,during lunch hours,32,Nora\ne39936,2021/10/21,in the early afternoon,45,Hazel\ne39937,2021/10/21,in the early afternoon,37,\"Kinsley, Rylee, Lydia, Nevaeh\"\ne39938,2021/10/21,in the morning,30,Piper\ne39945,2021/10/22,in the morning,53,Avery\ne39946,2021/10/22,in the late afternoon,19,\"Nevaeh, Rylee, Eva\"\ne39947,2021/10/22,late in the evening,27,\"Piper, Avery\"\ne39948,2021/10/22,in the late afternoon,41,Kinsley\ne39955,2021/10/23,in the early afternoon,22,\"Nevaeh, Kinsley\"\ne39956,2021/10/23,in the morning,29,\"Rylee, Hazel\"\ne39963,2021/10/24,in the early evening,52,Rylee\ne39964,2021/10/24,in the late afternoon,12,\"Piper, Nevaeh\"\ne39965,2021/10/24,in the early afternoon,38,\"Avery, Piper, Nevaeh\"\ne39971,2021/10/25,in the late afternoon,52,\"Piper, Layla\"\ne39972,2021/10/25,in the morning,39,\"Lydia, Claire\"\ne39979,2021/10/26,in the early evening,53,\"Kinsley, Hazel, Lydia\"\ne39986,2021/10/27,in the early evening,41,Kinsley\ne39987,2021/10/27,late in the evening,48,\"Hazel, Lydia, Nora\"\ne39988,2021/10/27,in the early evening,26,\"Nora, Nevaeh\"\ne39995,2021/10/28,in the late afternoon,32,\"Nevaeh, Kinsley\"\ne39996,2021/10/28,late in the evening,33,\"Piper, Rylee\"\ne39997,2021/10/28,in the early evening,17,Eva\ne39998,2021/10/28,in the early evening,45,Piper\ne40005,2021/10/29,in the early afternoon,19,Avery\ne40006,2021/10/29,during lunch hours,11,\"Piper, Piper, Nevaeh, Avery\"\ne40007,2021/10/29,late in the evening,8,\"Piper, Avery, Olivia\"\ne40014,2021/10/30,late in the evening,24,\"Hazel, Nevaeh, Lydia, Kinsley\"\ne40015,2021/10/30,in the early afternoon,17,\"Piper, Nora, Nevaeh, Avery\"\ne40016,2021/10/30,in the early evening,25,Olivia\ne40023,2021/10/31,in the late afternoon,5,Piper\ne40024,2021/10/31,in the morning,18,\"Avery, Layla, Lydia\"\ne40031,2021/11/01,in the late afternoon,12,\"Nora, Piper, Lydia, Layla\"\ne40032,2021/11/01,in the early evening,22,Piper\ne40033,2021/11/01,during lunch hours,9,\"Eva, Lydia, Hazel\"\ne40040,2021/11/02,late in the evening,39,\"Avery, Piper, Layla\"\ne40041,2021/11/02,in the late afternoon,34,\"Lydia, Nora\"\ne40042,2021/11/02,in the morning,41,\"Piper, Lydia, Avery, Olivia\"\ne40043,2021/11/02,in the early evening,55,\"Hazel, Eva, Kinsley, Olivia\"\ne40050,2021/11/03,in the early evening,51,\"Piper, Piper\"\ne40051,2021/11/03,in the early evening,40,\"Layla, Avery\"\ne40058,2021/11/04,in the early evening,49,\"Avery, Olivia, Rylee\"\ne40059,2021/11/04,in the late afternoon,52,\"Eva, Olivia, Avery\"\ne40060,2021/11/04,in the late afternoon,32,Lydia\ne40066,2021/11/05,in the morning,37,\"Lydia, Piper, Piper\"\ne40067,2021/11/05,during lunch hours,43,\"Nevaeh, Nora, Hazel\"\ne40068,2021/11/05,in the early evening,15,\"Avery, Piper\"\ne40075,2021/11/06,late in the evening,10,\"Nora, Eva\"\ne40076,2021/11/06,in the morning,26,\"Avery, Rylee\"\ne40077,2021/11/06,in the early evening,48,\"Rylee, Nora, Hazel\"\ne40084,2021/11/07,late in the evening,26,Piper\ne40085,2021/11/07,in the morning,8,Hazel\ne40086,2021/11/07,in the morning,14,\"Lydia, Nora\"\ne40093,2021/11/08,in the early evening,7,\"Eva, Lydia, Nevaeh\"\ne40094,2021/11/08,during lunch hours,33,\"Olivia, Nora\"\ne40101,2021/11/09,in the morning,51,Layla\ne40102,2021/11/09,during lunch hours,26,\"Layla, Lydia, Nora\"\ne40109,2021/11/10,late in the evening,21,Hazel\ne40110,2021/11/10,during lunch hours,34,\"Kinsley, Eva, Claire\"\ne40111,2021/11/10,in the early evening,50,\"Nora, Kinsley\"\ne40112,2021/11/10,in the early afternoon,28,\"Claire, Olivia, Layla, Rylee\"\ne40119,2021/11/11,in the early evening,23,\"Claire, Olivia\"\ne40120,2021/11/11,in the early afternoon,25,Eva\ne40121,2021/11/11,in the early evening,23,Avery\ne40122,2021/11/11,in the early afternoon,42,\"Avery, Hazel, Eva\"\ne40129,2021/11/12,during lunch hours,41,\"Hazel, Nevaeh, Lydia\"\ne40130,2021/11/12,in the early evening,23,\"Eva, Nora, Nevaeh\"\ne40131,2021/11/12,in the early evening,17,Piper\ne40138,2021/11/13,in the early afternoon,11,\"Piper, Eva, Nevaeh\"\ne40139,2021/11/13,in the late afternoon,33,Hazel\ne40145,2021/11/14,in the morning,21,Hazel\ne40146,2021/11/14,in the early afternoon,53,\"Hazel, Piper\"\ne40147,2021/11/14,in the late afternoon,15,\"Rylee, Lydia, Olivia, Kinsley\"\ne40154,2021/11/15,in the early afternoon,18,\"Hazel, Rylee, Claire\"\ne40155,2021/11/15,in the early afternoon,12,\"Piper, Hazel\"\ne40162,2021/11/16,in the early afternoon,22,\"Eva, Piper\"\ne40163,2021/11/16,late in the evening,27,\"Piper, Nora, Lydia\"\ne40170,2021/11/17,during lunch hours,34,Layla\ne40171,2021/11/17,in the early afternoon,40,\"Piper, Rylee\"\ne40172,2021/11/17,in the late afternoon,32,\"Nevaeh, Piper, Layla\"\ne40179,2021/11/18,in the early afternoon,12,\"Olivia, Eva\"\ne40180,2021/11/18,during lunch hours,32,\"Eva, Nevaeh, Lydia\"\ne40181,2021/11/18,in the early afternoon,45,\"Kinsley, Piper, Claire\"\ne40188,2021/11/19,in the late afternoon,47,\"Claire, Olivia\"\ne40189,2021/11/19,in the early afternoon,19,\"Hazel, Nevaeh, Claire, Eva\"\ne40196,2021/11/20,in the early afternoon,50,\"Hazel, Piper, Rylee\"\ne40197,2021/11/20,in the late afternoon,11,\"Olivia, Layla\"\ne40198,2021/11/20,in the early afternoon,15,\"Layla, Kinsley, Piper, Hazel\"\ne40205,2021/11/21,late in the evening,44,\"Nora, Avery, Piper, Olivia\"\ne40206,2021/11/21,in the morning,30,\"Claire, Piper\"\ne40207,2021/11/21,during lunch hours,24,\"Rylee, Eva\"\ne40214,2021/11/22,during lunch hours,29,\"Rylee, Piper\"\ne40215,2021/11/22,in the early afternoon,55,Eva\ne40216,2021/11/22,in the early evening,8,\"Layla, Nevaeh, Rylee\"\ne40223,2021/11/23,in the early evening,34,\"Rylee, Claire\"\ne40224,2021/11/23,late in the evening,51,Lydia\ne40230,2021/11/24,late in the evening,41,\"Nevaeh, Rylee, Kinsley\"\ne40231,2021/11/24,in the late afternoon,23,\"Claire, Kinsley, Olivia, Piper\"\ne40238,2021/11/25,in the morning,11,\"Claire, Piper, Rylee, Hazel\"\ne40239,2021/11/25,late in the evening,8,\"Nevaeh, Piper, Hazel\"\ne40240,2021/11/25,in the early evening,41,\"Olivia, Layla\"\ne40247,2021/11/26,in the early evening,13,\"Piper, Kinsley, Claire\"\ne40254,2021/11/27,in the early evening,12,Kinsley\ne40255,2021/11/27,in the early evening,21,Rylee\ne40256,2021/11/27,in the late afternoon,45,\"Piper, Rylee, Kinsley, Nora\"\ne40257,2021/11/27,during lunch hours,41,\"Kinsley, Nevaeh, Olivia\"\ne40264,2021/11/28,in the early afternoon,42,Piper\ne40265,2021/11/28,in the early afternoon,29,\"Piper, Avery\"\ne40266,2021/11/28,in the early evening,22,\"Nevaeh, Kinsley\"\ne40273,2021/11/29,during lunch hours,36,Piper\ne40274,2021/11/29,during lunch hours,20,\"Rylee, Claire\"\ne40281,2021/11/30,in the early evening,24,Rylee\ne40282,2021/11/30,in the early afternoon,52,Nora\ne40283,2021/11/30,during lunch hours,34,\"Layla, Olivia, Avery, Nora\"\ne40290,2021/12/01,in the morning,26,\"Nevaeh, Rylee, Hazel, Lydia\"\ne40291,2021/12/01,in the early afternoon,52,\"Claire, Avery\"\ne40298,2021/12/02,in the late afternoon,31,\"Nevaeh, Olivia, Layla, Piper\"\ne40299,2021/12/02,in the early evening,19,\"Kinsley, Piper, Hazel, Nora\"\ne40306,2021/12/03,in the early evening,40,Piper\ne40307,2021/12/03,in the morning,13,\"Olivia, Layla, Rylee, Lydia\"\ne40314,2021/12/04,in the early afternoon,23,Eva\ne40315,2021/12/04,in the early afternoon,50,\"Claire, Nora, Rylee\"\ne40316,2021/12/04,in the early evening,43,\"Avery, Nevaeh\"\ne40322,2021/12/05,in the early afternoon,44,Nevaeh\ne40323,2021/12/05,in the early evening,35,\"Eva, Claire\"\ne40330,2021/12/06,during lunch hours,11,\"Rylee, Piper, Avery, Olivia\"\ne40336,2021/12/07,in the morning,31,\"Layla, Nora, Claire, Olivia\"\ne40337,2021/12/07,in the early afternoon,30,\"Avery, Nevaeh, Olivia, Eva\"\ne40344,2021/12/08,in the early evening,18,\"Layla, Hazel, Piper\"\ne40345,2021/12/08,in the early evening,44,\"Piper, Hazel\"\ne40346,2021/12/08,during lunch hours,26,\"Claire, Nora, Piper\"\ne40347,2021/12/08,late in the evening,11,\"Piper, Rylee, Kinsley, Nevaeh\"\ne40354,2021/12/09,in the morning,45,\"Piper, Eva, Nevaeh\"\ne40355,2021/12/09,in the morning,35,Olivia\ne40361,2021/12/10,in the late afternoon,22,\"Kinsley, Claire\"\ne40362,2021/12/10,in the early evening,44,\"Piper, Olivia, Nora\"\ne40363,2021/12/10,in the morning,12,\"Kinsley, Lydia, Claire\"\ne40370,2021/12/11,in the morning,38,Layla\ne40371,2021/12/11,in the early afternoon,40,\"Nora, Layla\"\ne40378,2021/12/12,in the early afternoon,30,\"Claire, Hazel, Olivia\"\ne40379,2021/12/12,in the early evening,53,\"Hazel, Eva\"\ne40380,2021/12/12,late in the evening,52,\"Nora, Layla\"\ne40381,2021/12/12,during lunch hours,33,\"Nevaeh, Piper\"\ne40388,2021/12/13,in the early afternoon,19,\"Nora, Piper, Rylee\"\ne40389,2021/12/13,in the late afternoon,16,\"Lydia, Avery\"\ne40390,2021/12/13,during lunch hours,48,\"Rylee, Olivia, Avery\"\ne40397,2021/12/14,in the late afternoon,45,Nevaeh\ne40398,2021/12/14,in the morning,55,\"Nora, Kinsley, Piper, Claire\"\ne40399,2021/12/14,in the late afternoon,22,\"Claire, Eva\"\ne40400,2021/12/14,in the late afternoon,42,Hazel\ne40407,2021/12/15,late in the evening,5,Piper\ne40408,2021/12/15,in the early afternoon,47,Kinsley\ne40409,2021/12/15,in the late afternoon,44,Hazel\ne40416,2021/12/16,during lunch hours,16,\"Lydia, Rylee\"\ne40417,2021/12/16,in the early afternoon,40,\"Olivia, Eva, Avery\"\ne40418,2021/12/16,late in the evening,37,\"Layla, Avery\"\ne40425,2021/12/17,in the late afternoon,35,\"Nevaeh, Lydia, Claire\"\ne40426,2021/12/17,during lunch hours,23,Layla\ne40427,2021/12/17,late in the evening,52,Eva\ne40434,2021/12/18,in the late afternoon,10,Eva\ne40435,2021/12/18,during lunch hours,23,\"Avery, Hazel, Kinsley\"\ne40436,2021/12/18,during lunch hours,9,\"Olivia, Kinsley, Piper, Rylee\"\ne40443,2021/12/19,in the morning,7,\"Nevaeh, Layla, Avery, Eva\"\ne40444,2021/12/19,in the late afternoon,38,\"Eva, Olivia\"\ne40445,2021/12/19,in the early afternoon,5,\"Nevaeh, Layla, Avery, Hazel\"\ne40446,2021/12/19,in the early evening,21,\"Avery, Rylee, Claire, Hazel\"\ne40453,2021/12/20,in the morning,33,\"Lydia, Nevaeh, Eva, Rylee\"\ne40454,2021/12/20,in the early evening,16,\"Claire, Rylee, Lydia\"\ne40455,2021/12/20,in the morning,26,Rylee\ne40462,2021/12/21,in the late afternoon,50,\"Piper, Layla, Nora\"\ne40463,2021/12/21,late in the evening,28,Kinsley\ne40464,2021/12/21,late in the evening,43,\"Olivia, Rylee, Piper, Hazel\"\ne40471,2021/12/22,during lunch hours,18,\"Kinsley, Rylee, Layla\"\ne40478,2021/12/23,in the early evening,33,Nora\ne40479,2021/12/23,during lunch hours,5,\"Rylee, Claire, Kinsley\"\ne40480,2021/12/23,in the late afternoon,32,Olivia\ne40481,2021/12/23,late in the evening,37,\"Piper, Olivia, Eva\"\ne40488,2021/12/24,in the late afternoon,41,\"Piper, Avery, Nora, Piper\"\ne40489,2021/12/24,late in the evening,29,\"Avery, Claire\"\ne40490,2021/12/24,in the early evening,39,\"Avery, Nevaeh, Piper, Claire\"\ne40497,2021/12/25,in the early evening,19,\"Olivia, Hazel, Nevaeh\"\ne40498,2021/12/25,during lunch hours,29,\"Rylee, Lydia, Kinsley, Nora\"\ne40499,2021/12/25,in the early afternoon,51,Eva\ne40505,2021/12/26,during lunch hours,52,Kinsley\ne40506,2021/12/26,late in the evening,22,\"Claire, Avery, Piper, Layla\"\ne40507,2021/12/26,late in the evening,27,\"Nora, Layla, Claire\"\ne40514,2021/12/27,during lunch hours,11,\"Nevaeh, Piper, Eva, Rylee\"\ne40515,2021/12/27,late in the evening,9,\"Piper, Nora, Kinsley\"\ne40522,2021/12/28,in the early evening,54,\"Kinsley, Rylee, Olivia\"\ne40523,2021/12/28,in the early evening,23,\"Hazel, Eva, Piper, Nora\"\ne40529,2021/12/29,in the morning,23,\"Avery, Kinsley\"\ne40536,2021/12/30,late in the evening,32,Nora\ne40537,2021/12/30,in the early afternoon,25,\"Olivia, Piper, Avery\"\ne40544,2021/12/31,in the early afternoon,33,\"Claire, Hazel, Layla, Piper\"\ne40545,2021/12/31,in the late afternoon,9,\"Claire, Eva, Piper\"\ne40546,2021/12/31,in the late afternoon,33,Rylee\ne40780,2022/01/01,in the early afternoon,19,Avery\ne40781,2022/01/01,in the early evening,42,Lydia\ne40788,2022/01/02,in the early evening,6,\"Piper, Nora, Layla, Eva\"\ne40789,2022/01/02,in the early evening,29,\"Piper, Lydia, Piper\"\ne40796,2022/01/03,in the early afternoon,29,\"Olivia, Piper\"\ne40797,2022/01/03,during lunch hours,21,\"Lydia, Nora, Nevaeh\"\ne40798,2022/01/03,in the morning,28,Claire\ne40805,2022/01/04,late in the evening,19,\"Piper, Claire, Piper\"\ne40806,2022/01/04,in the early evening,12,\"Piper, Piper, Rylee, Avery\"\ne40807,2022/01/04,in the early evening,48,\"Nora, Avery, Kinsley\"\ne40808,2022/01/04,in the late afternoon,39,\"Olivia, Nora, Kinsley\"\ne40815,2022/01/05,during lunch hours,36,\"Nora, Olivia\"\ne40822,2022/01/06,late in the evening,5,Nora\ne40823,2022/01/06,in the morning,55,\"Piper, Layla\"\ne40830,2022/01/07,late in the evening,38,Avery\ne40831,2022/01/07,in the early afternoon,8,\"Hazel, Avery, Nora, Lydia\"\ne40838,2022/01/08,in the early afternoon,35,\"Eva, Nevaeh, Claire, Olivia\"\ne40839,2022/01/08,in the early evening,23,\"Kinsley, Olivia, Layla, Claire\"\ne40846,2022/01/09,in the late afternoon,25,\"Lydia, Nora, Avery\"\ne40847,2022/01/09,in the early afternoon,5,\"Rylee, Nevaeh\"\ne40848,2022/01/09,in the morning,30,Nora\ne40855,2022/01/10,in the morning,38,\"Nevaeh, Lydia, Piper\"\ne40856,2022/01/10,in the early afternoon,48,\"Olivia, Layla\"\ne40857,2022/01/10,in the morning,36,\"Lydia, Piper\"\ne40864,2022/01/11,during lunch hours,42,\"Piper, Claire\"\ne40865,2022/01/11,in the early evening,18,\"Hazel, Rylee, Eva, Layla\"\ne40872,2022/01/12,during lunch hours,22,\"Layla, Claire, Olivia\"\ne40873,2022/01/12,in the early afternoon,35,\"Rylee, Hazel, Kinsley\"\ne40874,2022/01/12,late in the evening,52,\"Layla, Kinsley, Nora, Olivia\"\ne40881,2022/01/13,in the early evening,55,\"Piper, Avery\"\ne40882,2022/01/13,in the early evening,9,\"Rylee, Olivia, Lydia\"\ne40889,2022/01/14,in the morning,50,\"Hazel, Nevaeh, Rylee\"\ne40890,2022/01/14,in the early evening,20,\"Nevaeh, Piper, Lydia, Eva\"\ne40891,2022/01/14,during lunch hours,32,Eva\ne40898,2022/01/15,in the early afternoon,26,\"Nevaeh, Piper\"\ne40899,2022/01/15,in the morning,21,Piper\ne40900,2022/01/15,late in the evening,10,\"Nevaeh, Kinsley, Hazel\"\ne40907,2022/01/16,in the early afternoon,24,\"Lydia, Rylee, Layla, Eva\"\ne40908,2022/01/16,late in the evening,39,\"Rylee, Kinsley, Lydia\"\ne40909,2022/01/16,during lunch hours,28,Piper\ne40910,2022/01/16,in the late afternoon,15,\"Eva, Hazel, Lydia, Nevaeh\"\ne40917,2022/01/17,late in the evening,25,\"Nevaeh, Lydia, Rylee\"\ne40918,2022/01/17,late in the evening,55,\"Piper, Nevaeh\"\ne40919,2022/01/17,in the morning,35,\"Piper, Claire\"\ne40926,2022/01/18,during lunch hours,24,\"Rylee, Lydia\"\ne40927,2022/01/18,late in the evening,51,\"Kinsley, Piper\"\ne40928,2022/01/18,in the late afternoon,29,\"Layla, Nevaeh, Piper, Olivia\"\ne40935,2022/01/19,in the early afternoon,53,\"Eva, Olivia, Piper, Hazel\"\ne40936,2022/01/19,in the morning,23,\"Kinsley, Claire, Hazel, Layla\"\ne40937,2022/01/19,late in the evening,36,\"Piper, Olivia, Claire\"\ne40943,2022/01/20,in the early evening,6,\"Piper, Lydia\"\ne40944,2022/01/20,during lunch hours,35,\"Olivia, Eva, Kinsley, Piper\"\ne40951,2022/01/21,in the late afternoon,43,Piper\ne40952,2022/01/21,in the morning,43,\"Nevaeh, Olivia\"\ne40953,2022/01/21,in the early evening,49,\"Lydia, Claire, Nora, Kinsley\"\ne40954,2022/01/21,late in the evening,31,\"Avery, Rylee, Lydia\"\ne40961,2022/01/22,during lunch hours,32,\"Avery, Kinsley, Eva\"\ne40962,2022/01/22,in the morning,37,Hazel\ne40963,2022/01/22,in the early evening,39,\"Hazel, Eva, Avery\"\ne40970,2022/01/23,during lunch hours,29,\"Lydia, Piper, Nevaeh, Kinsley\"\ne40971,2022/01/23,in the morning,28,\"Nora, Rylee\"\ne40978,2022/01/24,in the morning,23,\"Nora, Eva\"\ne40979,2022/01/24,during lunch hours,32,Layla\ne40980,2022/01/24,during lunch hours,25,\"Nevaeh, Claire, Rylee\"\ne40986,2022/01/25,in the early afternoon,10,\"Nora, Kinsley\"\ne40987,2022/01/25,in the morning,36,Olivia\ne40988,2022/01/25,during lunch hours,15,\"Hazel, Olivia\"\ne40995,2022/01/26,in the late afternoon,40,\"Avery, Olivia, Rylee, Piper\"\ne40996,2022/01/26,in the early evening,16,\"Avery, Claire, Lydia, Olivia\"\ne40997,2022/01/26,in the early evening,47,\"Piper, Nora, Layla, Piper\"\ne41004,2022/01/27,in the morning,44,Lydia\ne41005,2022/01/27,during lunch hours,20,\"Nevaeh, Lydia, Rylee\"\ne41012,2022/01/28,in the late afternoon,55,\"Eva, Layla, Piper\"\ne41013,2022/01/28,in the early afternoon,14,\"Eva, Layla\"\ne41014,2022/01/28,in the early evening,18,\"Piper, Claire, Avery, Nora\"\ne41021,2022/01/29,in the late afternoon,33,\"Claire, Hazel, Piper, Rylee\"\ne41022,2022/01/29,late in the evening,52,\"Lydia, Claire\"\ne41023,2022/01/29,during lunch hours,52,\"Layla, Hazel\"\ne41024,2022/01/29,in the early evening,46,\"Avery, Eva\"\ne41030,2022/01/30,in the late afternoon,35,\"Layla, Nevaeh, Piper, Lydia\"\ne41031,2022/01/30,late in the evening,23,\"Rylee, Kinsley, Nevaeh\"\ne41032,2022/01/30,in the morning,34,Kinsley\ne41039,2022/01/31,late in the evening,43,\"Nevaeh, Piper, Nora\"\ne41040,2022/01/31,in the late afternoon,22,\"Eva, Hazel, Piper\"\ne41041,2022/01/31,in the late afternoon,39,\"Piper, Layla, Avery, Kinsley\"\ne41048,2022/02/01,late in the evening,45,\"Kinsley, Olivia, Claire, Lydia\"\ne41049,2022/02/01,in the early evening,25,\"Nora, Avery\"\ne41056,2022/02/02,in the early evening,46,\"Hazel, Nevaeh\"\ne41057,2022/02/02,in the early evening,28,\"Eva, Nora\"\ne41058,2022/02/02,late in the evening,38,Olivia\ne41065,2022/02/03,in the late afternoon,35,\"Nora, Layla, Eva, Lydia\"\ne41066,2022/02/03,during lunch hours,19,\"Nora, Eva, Lydia, Piper\"\ne41067,2022/02/03,in the late afternoon,40,\"Rylee, Eva, Olivia, Claire\"\ne41074,2022/02/04,in the early afternoon,52,Piper\ne41075,2022/02/04,in the late afternoon,6,\"Hazel, Layla, Piper, Eva\"\ne41076,2022/02/04,in the morning,25,\"Hazel, Nevaeh\"\ne41077,2022/02/04,in the morning,35,\"Eva, Lydia\"\ne41084,2022/02/05,late in the evening,25,\"Nora, Hazel, Avery\"\ne41085,2022/02/05,in the early afternoon,27,Rylee\ne41086,2022/02/05,in the morning,46,\"Nora, Olivia\"\ne41093,2022/02/06,in the late afternoon,10,Eva\ne41094,2022/02/06,in the morning,45,Piper\ne41101,2022/02/07,in the early evening,30,\"Lydia, Hazel, Layla, Piper\"\ne41102,2022/02/07,in the early afternoon,32,\"Nevaeh, Hazel\"\ne41103,2022/02/07,in the early afternoon,27,\"Avery, Piper, Nora\"\ne41110,2022/02/08,in the early afternoon,49,\"Piper, Nora, Nevaeh, Rylee\"\ne41111,2022/02/08,in the morning,34,Claire\ne41118,2022/02/09,in the early afternoon,36,\"Hazel, Claire\"\ne41119,2022/02/09,in the late afternoon,23,\"Olivia, Layla, Piper\"\ne41120,2022/02/09,late in the evening,15,Kinsley\ne41127,2022/02/10,during lunch hours,14,\"Kinsley, Rylee, Nevaeh, Piper\"\ne41128,2022/02/10,during lunch hours,36,\"Nevaeh, Avery, Nora\"\ne41135,2022/02/11,during lunch hours,35,\"Olivia, Piper\"\ne41136,2022/02/11,in the late afternoon,34,\"Claire, Layla\"\ne41143,2022/02/12,in the morning,27,\"Nevaeh, Piper\"\ne41144,2022/02/12,in the late afternoon,9,\"Lydia, Layla, Piper\"\ne41145,2022/02/12,in the morning,34,\"Avery, Kinsley, Layla, Rylee\"\ne41152,2022/02/13,in the late afternoon,15,\"Layla, Piper, Nora, Olivia\"\ne41153,2022/02/13,in the early afternoon,12,\"Claire, Nora\"\ne41154,2022/02/13,in the early evening,31,Piper\ne41161,2022/02/14,during lunch hours,26,\"Claire, Layla, Lydia, Nevaeh\"\ne41162,2022/02/14,in the late afternoon,10,\"Kinsley, Piper, Rylee\"\ne41163,2022/02/14,in the morning,14,\"Nora, Rylee, Eva, Claire\"\ne41169,2022/02/15,in the late afternoon,52,\"Layla, Rylee, Piper, Lydia\"\ne41170,2022/02/15,in the early afternoon,52,\"Avery, Piper\"\ne41171,2022/02/15,in the late afternoon,47,\"Layla, Eva, Nora, Lydia\"\ne41178,2022/02/16,in the late afternoon,48,\"Hazel, Avery, Piper\"\ne41179,2022/02/16,in the morning,47,\"Nevaeh, Olivia, Kinsley\"\ne41186,2022/02/17,late in the evening,27,\"Nevaeh, Hazel, Layla\"\ne41193,2022/02/18,during lunch hours,50,\"Nevaeh, Layla, Avery\"\ne41194,2022/02/18,in the morning,54,\"Layla, Nevaeh, Lydia, Rylee\"\ne41195,2022/02/18,during lunch hours,28,\"Lydia, Olivia\"\ne41202,2022/02/19,late in the evening,13,\"Piper, Eva, Claire\"\ne41203,2022/02/19,in the morning,5,\"Hazel, Avery, Piper\"\ne41204,2022/02/19,in the morning,9,\"Nora, Nevaeh\"\ne41211,2022/02/20,in the morning,50,Olivia\ne41212,2022/02/20,in the early afternoon,23,\"Avery, Layla\"\ne41219,2022/02/21,in the early evening,44,\"Nevaeh, Avery\"\ne41220,2022/02/21,in the morning,28,\"Kinsley, Rylee, Avery, Eva\"\ne41221,2022/02/21,during lunch hours,47,Layla\ne41228,2022/02/22,late in the evening,55,\"Nora, Eva, Rylee\"\ne41229,2022/02/22,in the morning,48,\"Avery, Lydia\"\ne41230,2022/02/22,in the morning,24,Piper\ne41237,2022/02/23,in the late afternoon,8,\"Nevaeh, Kinsley\"\ne41238,2022/02/23,in the early evening,37,Avery\ne41245,2022/02/24,during lunch hours,53,Avery\ne41246,2022/02/24,late in the evening,15,\"Nora, Avery\"\ne41247,2022/02/24,in the late afternoon,8,\"Kinsley, Avery, Layla, Olivia\"\ne41248,2022/02/24,in the late afternoon,37,Nevaeh\ne41255,2022/02/25,in the late afternoon,24,\"Nevaeh, Eva, Nora\"\ne41256,2022/02/25,in the early evening,28,Piper\ne41257,2022/02/25,in the morning,5,\"Eva, Piper, Nora\"\ne41264,2022/02/26,during lunch hours,29,\"Avery, Nevaeh\"\ne41265,2022/02/26,late in the evening,40,\"Nevaeh, Claire, Piper\"\ne41266,2022/02/26,in the late afternoon,17,\"Layla, Lydia, Olivia\"\ne41273,2022/02/27,in the early evening,36,\"Avery, Kinsley\"\ne41274,2022/02/27,late in the evening,9,\"Avery, Piper\"\ne41281,2022/02/28,in the late afternoon,23,\"Hazel, Nora, Rylee\"\ne41282,2022/02/28,during lunch hours,9,Layla\ne41283,2022/02/28,in the morning,35,\"Olivia, Layla\"\ne41290,2022/03/01,in the morning,34,Nora\ne41291,2022/03/01,in the early afternoon,31,\"Olivia, Lydia\"\ne41292,2022/03/01,in the early afternoon,8,\"Olivia, Piper, Layla, Claire\"\ne41293,2022/03/01,in the late afternoon,32,\"Olivia, Piper, Nora, Lydia\"\ne41300,2022/03/02,late in the evening,8,\"Layla, Nevaeh\"\ne41301,2022/03/02,in the early evening,41,\"Hazel, Nevaeh, Piper, Piper\"\ne41308,2022/03/03,late in the evening,52,\"Nora, Lydia\"\ne41309,2022/03/03,in the morning,11,Claire\ne41310,2022/03/03,in the morning,28,\"Piper, Lydia, Piper\"\ne41311,2022/03/03,during lunch hours,37,\"Hazel, Lydia, Piper, Eva\"\ne41318,2022/03/04,during lunch hours,8,\"Layla, Lydia, Claire, Rylee\"\ne41319,2022/03/04,late in the evening,42,\"Piper, Layla\"\ne41326,2022/03/05,in the late afternoon,14,\"Rylee, Avery\"\ne41333,2022/03/06,in the late afternoon,16,\"Nora, Nevaeh, Kinsley\"\ne41334,2022/03/06,in the morning,35,\"Claire, Piper, Layla\"\ne41341,2022/03/07,in the morning,12,\"Claire, Layla\"\ne41342,2022/03/07,in the morning,43,\"Layla, Nora, Nevaeh, Avery\"\ne41349,2022/03/08,late in the evening,40,\"Piper, Avery, Rylee, Hazel\"\ne41350,2022/03/08,in the early evening,39,Piper\ne41357,2022/03/09,in the early afternoon,54,Piper\ne41358,2022/03/09,in the early afternoon,12,\"Piper, Rylee, Hazel, Lydia\"\ne41365,2022/03/10,in the late afternoon,25,\"Kinsley, Rylee, Layla\"\ne41366,2022/03/10,in the early evening,34,\"Hazel, Olivia, Claire\"\ne41367,2022/03/10,during lunch hours,9,\"Olivia, Piper\"\ne41374,2022/03/11,in the early afternoon,29,\"Nora, Lydia, Kinsley, Avery\"\ne41375,2022/03/11,in the morning,19,\"Rylee, Claire, Kinsley\"\ne41376,2022/03/11,in the early evening,40,\"Piper, Avery, Eva, Piper\"\ne41377,2022/03/11,in the early evening,52,\"Nevaeh, Rylee, Avery, Piper\"\ne41384,2022/03/12,in the late afternoon,7,\"Nora, Avery\"\ne41390,2022/03/13,in the early afternoon,36,Layla\ne41391,2022/03/13,late in the evening,52,Claire\ne41398,2022/03/14,during lunch hours,13,\"Hazel, Lydia, Olivia\"\ne41399,2022/03/14,in the morning,30,Piper\ne41400,2022/03/14,in the late afternoon,28,\"Kinsley, Olivia\"\ne41407,2022/03/15,late in the evening,24,\"Hazel, Avery\"\ne41408,2022/03/15,in the morning,50,Avery\ne41409,2022/03/15,in the early afternoon,43,\"Nevaeh, Piper, Lydia\"\ne41416,2022/03/16,late in the evening,21,Rylee\ne41417,2022/03/16,during lunch hours,31,\"Eva, Lydia, Piper, Kinsley\"\ne41418,2022/03/16,in the morning,7,\"Layla, Olivia, Lydia\"\ne41425,2022/03/17,in the early afternoon,8,Hazel\ne41426,2022/03/17,during lunch hours,18,\"Kinsley, Claire\"\ne41427,2022/03/17,in the early evening,38,Eva\ne41428,2022/03/17,in the late afternoon,48,\"Kinsley, Claire\"\ne41435,2022/03/18,in the early afternoon,52,Nora\ne41442,2022/03/19,in the early afternoon,28,\"Lydia, Piper\"\ne41443,2022/03/19,during lunch hours,37,\"Nora, Piper, Lydia\"\ne41444,2022/03/19,in the late afternoon,28,Piper\ne41451,2022/03/20,late in the evening,49,\"Lydia, Claire, Eva, Layla\"\ne41452,2022/03/20,in the morning,27,\"Nora, Olivia\"\ne41459,2022/03/21,in the late afternoon,8,\"Claire, Olivia, Piper\"\ne41460,2022/03/21,in the late afternoon,23,Nora\ne41461,2022/03/21,in the late afternoon,34,\"Hazel, Lydia, Avery, Claire\"\ne41462,2022/03/21,late in the evening,11,\"Piper, Claire\"\ne41469,2022/03/22,in the early evening,45,\"Eva, Rylee, Piper\"\ne41470,2022/03/22,in the early evening,10,\"Nevaeh, Avery, Eva, Hazel\"\ne41471,2022/03/22,in the late afternoon,6,Hazel\ne41478,2022/03/23,in the late afternoon,19,\"Nora, Piper, Layla\"\ne41479,2022/03/23,in the late afternoon,10,\"Nevaeh, Eva, Rylee\"\ne41480,2022/03/23,in the morning,30,Olivia\ne41487,2022/03/24,in the early evening,50,\"Kinsley, Lydia, Piper\"\ne41488,2022/03/24,late in the evening,17,\"Avery, Eva, Hazel\"\ne41495,2022/03/25,during lunch hours,24,\"Rylee, Lydia\"\ne41502,2022/03/26,in the early afternoon,20,\"Nevaeh, Eva, Nora\"\ne41503,2022/03/26,in the late afternoon,48,\"Nora, Rylee, Kinsley, Layla\"\ne41504,2022/03/26,in the early evening,42,\"Olivia, Eva\"\ne41505,2022/03/26,late in the evening,48,\"Piper, Olivia, Eva\"\ne41512,2022/03/27,in the early afternoon,36,Piper\ne41513,2022/03/27,in the late afternoon,17,Nora\ne41514,2022/03/27,in the early evening,9,\"Rylee, Avery\"\ne41521,2022/03/28,during lunch hours,32,\"Avery, Piper, Claire\"\ne41522,2022/03/28,late in the evening,41,\"Lydia, Nevaeh\"\ne41523,2022/03/28,in the early afternoon,22,\"Kinsley, Eva\"\ne41530,2022/03/29,late in the evening,31,\"Hazel, Piper\"\ne41537,2022/03/30,in the early afternoon,50,\"Piper, Rylee, Piper, Avery\"\ne41538,2022/03/30,late in the evening,53,\"Hazel, Kinsley, Eva\"\ne41545,2022/03/31,during lunch hours,28,\"Avery, Eva, Lydia, Piper\"\ne41552,2022/04/01,in the early evening,52,\"Hazel, Kinsley, Nora, Lydia\"\ne41553,2022/04/01,late in the evening,53,Piper\ne41560,2022/04/02,in the early evening,35,\"Lydia, Nevaeh\"\ne41561,2022/04/02,in the morning,18,\"Nevaeh, Claire\"\ne41562,2022/04/02,late in the evening,39,Hazel\ne41569,2022/04/03,in the late afternoon,17,\"Hazel, Eva, Nora\"\ne41570,2022/04/03,in the late afternoon,55,Olivia\ne41571,2022/04/03,late in the evening,10,\"Kinsley, Eva\"\ne41572,2022/04/03,late in the evening,48,\"Layla, Hazel\"\ne41579,2022/04/04,in the early evening,5,\"Nora, Avery, Hazel\"\ne41580,2022/04/04,in the morning,22,Kinsley\ne41581,2022/04/04,late in the evening,38,\"Piper, Lydia, Claire\"\ne41588,2022/04/05,in the early afternoon,15,Piper\ne41589,2022/04/05,in the early afternoon,39,\"Rylee, Piper, Nevaeh, Claire\"\ne41596,2022/04/06,in the morning,10,\"Layla, Hazel, Olivia, Kinsley\"\ne41603,2022/04/07,during lunch hours,17,Olivia\ne41604,2022/04/07,in the early afternoon,23,\"Olivia, Layla, Nora, Eva\"\ne41605,2022/04/07,late in the evening,37,\"Rylee, Eva, Claire\"\ne41612,2022/04/08,late in the evening,21,\"Piper, Hazel, Avery, Nora\"\ne41613,2022/04/08,in the late afternoon,43,Layla\ne41614,2022/04/08,in the early evening,9,\"Nevaeh, Avery\"\ne41620,2022/04/09,in the late afternoon,30,\"Nora, Piper\"\ne41621,2022/04/09,in the morning,38,Piper\ne41622,2022/04/09,in the early afternoon,5,Olivia\ne41623,2022/04/09,during lunch hours,17,\"Kinsley, Piper, Hazel\"\ne41629,2022/04/10,in the late afternoon,32,\"Eva, Avery, Olivia, Claire\"\ne41630,2022/04/10,in the morning,42,\"Layla, Olivia, Claire, Rylee\"\ne41631,2022/04/10,in the early afternoon,38,\"Avery, Hazel\"\ne41638,2022/04/11,late in the evening,37,\"Kinsley, Lydia, Piper\"\ne41639,2022/04/11,in the early afternoon,49,\"Layla, Claire, Hazel\"\ne41640,2022/04/11,in the early afternoon,27,\"Kinsley, Avery, Olivia, Lydia\"\ne41641,2022/04/11,in the late afternoon,49,\"Claire, Layla, Kinsley\"\ne41648,2022/04/12,during lunch hours,35,Kinsley\ne41649,2022/04/12,in the early evening,8,Lydia\ne41650,2022/04/12,in the early evening,44,\"Piper, Avery, Nora\"\ne41657,2022/04/13,during lunch hours,30,Nora\ne41658,2022/04/13,in the early evening,28,\"Claire, Hazel, Avery, Nora\"\ne41665,2022/04/14,in the morning,54,Nevaeh\ne41666,2022/04/14,in the early afternoon,37,Layla\ne41667,2022/04/14,during lunch hours,6,Nevaeh\ne41674,2022/04/15,in the early evening,47,\"Olivia, Avery\"\ne41675,2022/04/15,during lunch hours,14,Piper\ne41682,2022/04/16,in the early evening,42,\"Lydia, Rylee, Layla, Avery\"\ne41683,2022/04/16,late in the evening,36,\"Claire, Avery, Piper, Olivia\"\ne41684,2022/04/16,during lunch hours,37,Nevaeh\ne41691,2022/04/17,during lunch hours,21,\"Olivia, Eva\"\ne41692,2022/04/17,in the late afternoon,35,\"Piper, Avery\"\ne41699,2022/04/18,during lunch hours,50,\"Nora, Piper\"\ne41700,2022/04/18,in the morning,42,Piper\ne41701,2022/04/18,late in the evening,6,\"Nora, Layla\"\ne41707,2022/04/19,late in the evening,47,Nora\ne41708,2022/04/19,in the early afternoon,46,\"Piper, Hazel, Rylee, Eva\"\ne41715,2022/04/20,during lunch hours,8,Kinsley\ne41716,2022/04/20,in the early evening,46,\"Piper, Kinsley\"\ne41717,2022/04/20,in the late afternoon,46,\"Olivia, Avery, Nevaeh, Kinsley\"\ne41724,2022/04/21,in the early afternoon,16,Nora\ne41725,2022/04/21,in the morning,22,\"Rylee, Olivia, Nevaeh\"\ne41732,2022/04/22,late in the evening,13,\"Layla, Piper\"\ne41733,2022/04/22,in the early evening,41,Olivia\ne41734,2022/04/22,late in the evening,28,\"Nora, Claire\"\ne41741,2022/04/23,in the late afternoon,5,Rylee\ne41742,2022/04/23,late in the evening,38,Piper\ne41749,2022/04/24,in the early afternoon,47,\"Claire, Kinsley\"\ne41750,2022/04/24,late in the evening,15,\"Piper, Layla\"\ne41757,2022/04/25,during lunch hours,46,\"Eva, Rylee, Piper\"\ne41758,2022/04/25,in the morning,55,\"Nora, Avery, Piper, Nevaeh\"\ne41759,2022/04/25,during lunch hours,39,Claire\ne41766,2022/04/26,in the late afternoon,53,\"Nora, Claire, Layla, Lydia\"\ne41767,2022/04/26,late in the evening,15,Lydia\ne41768,2022/04/26,in the morning,54,\"Eva, Nevaeh, Lydia, Nora\"\ne41769,2022/04/26,in the early evening,35,\"Rylee, Kinsley\"\ne41776,2022/04/27,late in the evening,39,\"Claire, Piper, Avery, Layla\"\ne41777,2022/04/27,in the early afternoon,45,\"Nevaeh, Avery\"\ne41778,2022/04/27,during lunch hours,16,\"Avery, Piper\"\ne41785,2022/04/28,in the morning,26,\"Claire, Nora\"\ne41786,2022/04/28,late in the evening,39,\"Kinsley, Layla\"\ne41787,2022/04/28,in the morning,53,\"Nevaeh, Avery, Nora\"\ne41794,2022/04/29,in the late afternoon,37,\"Kinsley, Piper, Eva, Rylee\"\ne41795,2022/04/29,in the late afternoon,45,\"Piper, Kinsley, Layla\"\ne41796,2022/04/29,in the late afternoon,10,\"Nevaeh, Avery\"\ne41797,2022/04/29,late in the evening,41,\"Layla, Eva, Rylee\"\ne41804,2022/04/30,during lunch hours,38,\"Olivia, Rylee, Lydia\"\ne41805,2022/04/30,during lunch hours,10,Eva\ne41812,2022/05/01,late in the evening,33,\"Kinsley, Nevaeh\"\ne41813,2022/05/01,in the late afternoon,37,\"Piper, Lydia\"\ne41814,2022/05/01,in the morning,46,Eva\ne41821,2022/05/02,in the early evening,12,Kinsley\ne41822,2022/05/02,during lunch hours,15,\"Rylee, Piper, Claire\"\ne41829,2022/05/03,in the late afternoon,48,\"Rylee, Olivia, Layla\"\ne41830,2022/05/03,in the late afternoon,8,Eva\ne41837,2022/05/04,in the morning,25,\"Olivia, Claire, Kinsley\"\ne41838,2022/05/04,during lunch hours,7,\"Rylee, Piper, Hazel, Nevaeh\"\ne41845,2022/05/05,late in the evening,15,Piper\ne41846,2022/05/05,during lunch hours,14,\"Claire, Eva\"\ne41853,2022/05/06,in the early evening,5,\"Hazel, Eva, Claire, Kinsley\"\ne41854,2022/05/06,late in the evening,5,\"Eva, Avery\"\ne41855,2022/05/06,in the early evening,36,\"Piper, Nora\"\ne41861,2022/05/07,in the early afternoon,8,\"Claire, Layla\"\ne41862,2022/05/07,in the early afternoon,51,Rylee\ne41863,2022/05/07,in the early afternoon,52,Avery\ne41864,2022/05/07,in the late afternoon,24,Piper\ne41871,2022/05/08,late in the evening,12,\"Kinsley, Hazel, Lydia, Nevaeh\"\ne41872,2022/05/08,in the early afternoon,36,Claire\ne41879,2022/05/09,in the morning,18,\"Piper, Avery, Layla, Rylee\"\ne41880,2022/05/09,late in the evening,19,\"Lydia, Claire\"\ne41881,2022/05/09,in the morning,15,Kinsley\ne41882,2022/05/09,in the late afternoon,42,\"Piper, Lydia, Claire, Nora\"\ne41889,2022/05/10,in the late afternoon,14,\"Eva, Claire, Nora\"\ne41890,2022/05/10,in the late afternoon,6,\"Hazel, Rylee\"\ne41891,2022/05/10,in the late afternoon,47,\"Kinsley, Piper, Eva, Hazel\"\ne41898,2022/05/11,in the morning,12,\"Nora, Layla, Piper, Lydia\"\ne41899,2022/05/11,during lunch hours,29,\"Eva, Lydia\"\ne41900,2022/05/11,during lunch hours,5,\"Avery, Eva\"\ne41907,2022/05/12,in the early evening,12,Nevaeh\ne41908,2022/05/12,in the early evening,11,Piper\ne41909,2022/05/12,in the late afternoon,39,\"Avery, Eva\"\ne41916,2022/05/13,during lunch hours,26,\"Piper, Nora\"\ne41917,2022/05/13,in the early evening,25,\"Claire, Olivia, Nora\"\ne41924,2022/05/14,in the morning,13,Nevaeh\ne41925,2022/05/14,in the late afternoon,25,\"Layla, Avery, Nora, Hazel\"\ne41926,2022/05/14,during lunch hours,43,\"Rylee, Claire\"\ne41933,2022/05/15,in the morning,39,Lydia\ne41934,2022/05/15,late in the evening,17,\"Kinsley, Avery\"\ne41935,2022/05/15,in the late afternoon,39,\"Layla, Piper, Piper\"\ne41942,2022/05/16,in the morning,35,\"Layla, Piper\"\ne41943,2022/05/16,in the early evening,6,Nevaeh\ne41944,2022/05/16,in the early afternoon,27,\"Hazel, Avery\"\ne41951,2022/05/17,late in the evening,19,Piper\ne41952,2022/05/17,during lunch hours,55,\"Avery, Olivia, Lydia\"\ne41953,2022/05/17,in the late afternoon,6,\"Rylee, Hazel, Lydia, Layla\"\ne41954,2022/05/17,during lunch hours,43,\"Kinsley, Rylee, Hazel, Claire\"\ne41961,2022/05/18,in the morning,23,\"Kinsley, Eva, Rylee\"\ne41968,2022/05/19,late in the evening,46,Claire\ne41969,2022/05/19,late in the evening,49,\"Piper, Kinsley\"\ne41970,2022/05/19,late in the evening,55,\"Piper, Nevaeh, Olivia, Nora\"\ne41971,2022/05/19,late in the evening,23,\"Claire, Lydia, Eva, Olivia\"\ne41978,2022/05/20,late in the evening,41,\"Olivia, Layla, Hazel, Lydia\"\ne41979,2022/05/20,in the late afternoon,48,\"Eva, Piper, Avery\"\ne41980,2022/05/20,during lunch hours,10,\"Lydia, Piper, Eva, Rylee\"\ne41987,2022/05/21,in the early afternoon,7,\"Avery, Hazel, Eva\"\ne41988,2022/05/21,in the early evening,53,Eva\ne41989,2022/05/21,in the early evening,48,\"Lydia, Piper, Kinsley, Layla\"\ne41996,2022/05/22,in the late afternoon,22,\"Olivia, Nora, Piper, Eva\"\ne41997,2022/05/22,late in the evening,55,\"Layla, Nevaeh, Rylee, Avery\"\ne42004,2022/05/23,in the early afternoon,31,\"Olivia, Rylee, Kinsley, Nevaeh\"\ne42005,2022/05/23,in the late afternoon,20,\"Eva, Olivia, Piper\"\ne42011,2022/05/24,in the morning,9,\"Eva, Layla, Nora, Piper\"\ne42012,2022/05/24,in the early afternoon,14,\"Piper, Avery, Olivia, Rylee\"\ne42018,2022/05/25,during lunch hours,54,Piper\ne42019,2022/05/25,in the morning,32,\"Piper, Avery, Rylee, Nora\"\ne42020,2022/05/25,in the morning,21,\"Lydia, Kinsley\"\ne42021,2022/05/25,in the early afternoon,33,\"Eva, Hazel, Claire, Kinsley\"\ne42027,2022/05/26,in the early evening,53,\"Rylee, Piper, Layla\"\ne42028,2022/05/26,during lunch hours,36,Claire\ne42029,2022/05/26,late in the evening,48,\"Hazel, Lydia, Kinsley, Nevaeh\"\ne42030,2022/05/26,in the early evening,5,\"Rylee, Avery, Olivia\"\ne42036,2022/05/27,in the early afternoon,49,\"Nevaeh, Olivia, Claire, Lydia\"\ne42037,2022/05/27,in the morning,12,\"Piper, Nevaeh\"\ne42043,2022/05/28,in the early afternoon,40,Layla\ne42044,2022/05/28,in the early afternoon,9,\"Kinsley, Rylee, Hazel, Layla\"\ne42050,2022/05/29,in the early afternoon,34,\"Lydia, Olivia\"\ne42051,2022/05/29,in the late afternoon,7,\"Piper, Claire, Eva, Piper\"\ne42052,2022/05/29,in the late afternoon,33,\"Claire, Avery, Hazel\"\ne42058,2022/05/30,in the early evening,46,\"Piper, Nora, Claire, Olivia\"\ne42059,2022/05/30,late in the evening,5,\"Nevaeh, Kinsley, Piper\"\ne42060,2022/05/30,late in the evening,38,\"Lydia, Piper, Piper\"\ne42066,2022/05/31,during lunch hours,17,\"Rylee, Nora\"\ne42067,2022/05/31,in the early afternoon,29,\"Eva, Hazel, Kinsley, Claire\"\ne42068,2022/05/31,in the late afternoon,9,\"Layla, Claire, Nora\"\ne42075,2022/06/01,in the morning,20,Avery\ne42076,2022/06/01,during lunch hours,19,\"Rylee, Avery\"\ne42082,2022/06/02,in the early evening,51,\"Claire, Lydia\"\ne42083,2022/06/02,in the late afternoon,42,\"Nora, Nevaeh, Olivia\"\ne42090,2022/06/03,in the late afternoon,44,\"Avery, Olivia\"\ne42091,2022/06/03,in the early afternoon,18,\"Lydia, Avery, Olivia\"\ne42092,2022/06/03,in the early afternoon,16,Avery\ne42099,2022/06/04,in the early evening,50,\"Olivia, Lydia\"\ne42100,2022/06/04,late in the evening,30,\"Lydia, Layla, Kinsley\"\ne42101,2022/06/04,in the early afternoon,18,Olivia\ne42108,2022/06/05,late in the evening,34,\"Kinsley, Avery, Rylee\"\ne42109,2022/06/05,in the morning,32,Lydia\ne42110,2022/06/05,in the early afternoon,20,\"Lydia, Hazel, Eva\"\ne42117,2022/06/06,in the early evening,7,\"Nevaeh, Claire\"\ne42118,2022/06/06,during lunch hours,50,\"Piper, Nevaeh\"\ne42125,2022/06/07,late in the evening,52,\"Avery, Nevaeh, Layla\"\ne42126,2022/06/07,in the early afternoon,31,\"Nora, Lydia\"\ne42133,2022/06/08,in the morning,17,\"Claire, Layla, Nora, Olivia\"\ne42134,2022/06/08,in the morning,18,\"Nora, Piper, Avery\"\ne42141,2022/06/09,in the early afternoon,42,\"Kinsley, Olivia, Piper, Lydia\"\ne42142,2022/06/09,in the late afternoon,33,Layla\ne42149,2022/06/10,during lunch hours,41,Layla\ne42150,2022/06/10,late in the evening,41,\"Piper, Avery\"\ne42151,2022/06/10,in the morning,33,Eva\ne42152,2022/06/10,in the late afternoon,47,\"Kinsley, Layla\"\ne42159,2022/06/11,in the early afternoon,50,Piper\ne42160,2022/06/11,late in the evening,16,\"Avery, Piper, Hazel, Piper\"\ne42161,2022/06/11,in the early afternoon,7,\"Layla, Kinsley, Nevaeh\"\ne42168,2022/06/12,in the morning,37,\"Eva, Piper\"\ne42169,2022/06/12,during lunch hours,25,\"Kinsley, Piper\"\ne42170,2022/06/12,in the late afternoon,38,\"Piper, Nevaeh, Piper, Rylee\"\ne42171,2022/06/12,in the morning,26,\"Kinsley, Rylee, Eva\"\ne42178,2022/06/13,in the morning,38,\"Eva, Nora\"\ne42179,2022/06/13,during lunch hours,24,\"Layla, Olivia, Nora\"\ne42180,2022/06/13,during lunch hours,28,\"Piper, Avery\"\ne42181,2022/06/13,in the morning,6,\"Claire, Layla\"\ne42188,2022/06/14,in the early evening,19,Nevaeh\ne42189,2022/06/14,in the early afternoon,42,Eva\ne42190,2022/06/14,during lunch hours,20,\"Olivia, Piper, Avery, Claire\"\ne42191,2022/06/14,in the early evening,11,\"Piper, Nevaeh, Piper\"\ne42198,2022/06/15,in the early afternoon,40,\"Nevaeh, Layla, Piper\"\ne42199,2022/06/15,during lunch hours,27,\"Rylee, Nevaeh, Avery\"\ne42200,2022/06/15,during lunch hours,26,\"Rylee, Olivia\"\ne42201,2022/06/15,late in the evening,25,\"Eva, Kinsley, Nora, Hazel\"\ne42208,2022/06/16,during lunch hours,52,\"Claire, Nevaeh\"\ne42209,2022/06/16,in the late afternoon,44,\"Nora, Layla, Olivia, Kinsley\"\ne42210,2022/06/16,late in the evening,13,\"Layla, Hazel, Piper\"\ne42217,2022/06/17,in the early evening,41,\"Piper, Claire\"\ne42218,2022/06/17,in the late afternoon,44,Piper\ne42219,2022/06/17,in the late afternoon,32,\"Avery, Nora, Piper\"\ne42225,2022/06/18,in the late afternoon,46,\"Lydia, Avery, Piper\"\ne42226,2022/06/18,late in the evening,53,\"Rylee, Hazel, Claire, Nevaeh\"\ne42227,2022/06/18,in the morning,33,Kinsley\ne42228,2022/06/18,during lunch hours,39,\"Hazel, Avery\"\ne42235,2022/06/19,in the late afternoon,23,\"Olivia, Claire, Piper\"\ne42236,2022/06/19,in the morning,28,Kinsley\ne42243,2022/06/20,in the late afternoon,41,Avery\ne42244,2022/06/20,in the early evening,7,Nora\ne42251,2022/06/21,late in the evening,54,Piper\ne42252,2022/06/21,during lunch hours,51,\"Kinsley, Eva, Rylee\"\ne42253,2022/06/21,in the early evening,29,\"Nevaeh, Avery, Piper, Claire\"\ne42254,2022/06/21,late in the evening,48,\"Piper, Hazel, Olivia, Nevaeh\"\ne42261,2022/06/22,in the late afternoon,44,\"Layla, Avery\"\ne42262,2022/06/22,in the late afternoon,46,Claire\ne42263,2022/06/22,in the early afternoon,23,\"Nevaeh, Layla, Hazel\"\ne42270,2022/06/23,late in the evening,17,\"Hazel, Nora\"\ne42271,2022/06/23,in the morning,17,\"Layla, Kinsley, Hazel, Eva\"\ne42272,2022/06/23,in the late afternoon,54,Eva\ne42279,2022/06/24,in the morning,25,\"Lydia, Nevaeh, Layla\"\ne42280,2022/06/24,late in the evening,12,\"Avery, Nevaeh\"\ne42286,2022/06/25,in the late afternoon,40,\"Nevaeh, Olivia\"\ne42287,2022/06/25,late in the evening,7,\"Nevaeh, Claire, Kinsley\"\ne42288,2022/06/25,in the early afternoon,41,\"Nora, Avery\"\ne42295,2022/06/26,in the late afternoon,29,\"Piper, Kinsley\"\ne42296,2022/06/26,in the early evening,13,\"Claire, Olivia, Avery, Eva\"\ne42297,2022/06/26,in the late afternoon,23,\"Nora, Piper\"\ne42298,2022/06/26,in the early evening,31,\"Piper, Nora, Lydia\"\ne42305,2022/06/27,in the morning,23,\"Piper, Avery, Piper\"\ne42306,2022/06/27,in the early afternoon,40,\"Nora, Nevaeh, Avery, Rylee\"\ne42307,2022/06/27,in the early afternoon,8,\"Avery, Eva\"\ne42313,2022/06/28,in the early evening,25,Olivia\ne42314,2022/06/28,in the late afternoon,52,Nora\ne42315,2022/06/28,in the early afternoon,8,Rylee\ne42322,2022/06/29,late in the evening,32,\"Eva, Piper, Claire\"\ne42323,2022/06/29,during lunch hours,25,\"Kinsley, Avery\"\ne42324,2022/06/29,in the early afternoon,52,\"Avery, Olivia, Kinsley\"\ne42330,2022/06/30,in the early afternoon,47,\"Nevaeh, Kinsley, Lydia\"\ne42331,2022/06/30,in the early evening,39,Olivia\ne42338,2022/07/01,in the early afternoon,54,Hazel\ne42339,2022/07/01,in the early afternoon,50,\"Rylee, Nora, Claire\"\ne42346,2022/07/02,during lunch hours,30,\"Eva, Piper, Hazel, Avery\"\ne42347,2022/07/02,in the late afternoon,28,Avery\ne42348,2022/07/02,in the early afternoon,47,\"Olivia, Nevaeh, Eva\"\ne42355,2022/07/03,in the early afternoon,54,Piper\ne42356,2022/07/03,late in the evening,30,\"Piper, Kinsley, Avery\"\ne42363,2022/07/04,late in the evening,7,\"Nevaeh, Olivia, Piper, Avery\"\ne42364,2022/07/04,during lunch hours,53,\"Piper, Kinsley\"\ne42365,2022/07/04,in the early afternoon,14,\"Nevaeh, Nora\"\ne42366,2022/07/04,in the late afternoon,55,\"Avery, Eva, Claire, Hazel\"\ne42373,2022/07/05,in the late afternoon,19,Piper\ne42374,2022/07/05,in the early evening,41,\"Eva, Olivia, Avery\"\ne42381,2022/07/06,during lunch hours,33,\"Kinsley, Claire, Hazel, Eva\"\ne42382,2022/07/06,in the early afternoon,22,\"Piper, Nora, Claire, Eva\"\ne42383,2022/07/06,in the morning,39,\"Nevaeh, Nora\"\ne42390,2022/07/07,during lunch hours,26,Piper\ne42391,2022/07/07,late in the evening,17,\"Claire, Nevaeh, Piper, Kinsley\"\ne42392,2022/07/07,in the morning,32,\"Piper, Lydia, Nora, Nevaeh\"\ne42399,2022/07/08,during lunch hours,52,\"Claire, Olivia\"\ne42400,2022/07/08,late in the evening,5,\"Olivia, Nevaeh, Layla, Lydia\"\ne42401,2022/07/08,in the early afternoon,33,Piper\ne42408,2022/07/09,in the early afternoon,22,\"Kinsley, Avery, Claire\"\ne42409,2022/07/09,during lunch hours,53,\"Layla, Piper, Rylee\"\ne42416,2022/07/10,in the early evening,36,\"Avery, Rylee, Claire\"\ne42417,2022/07/10,in the early afternoon,25,\"Nevaeh, Nora, Olivia\"\ne42418,2022/07/10,during lunch hours,53,\"Rylee, Avery, Eva\"\ne42425,2022/07/11,in the morning,8,\"Avery, Eva, Nevaeh, Layla\"\ne42426,2022/07/11,in the late afternoon,14,\"Nevaeh, Lydia, Olivia, Piper\"\ne42427,2022/07/11,in the morning,44,\"Nora, Avery\"\ne42433,2022/07/12,late in the evening,27,Nora\ne42434,2022/07/12,in the morning,38,\"Nevaeh, Lydia, Olivia\"\ne42435,2022/07/12,in the morning,50,\"Olivia, Layla, Piper, Kinsley\"\ne42442,2022/07/13,in the late afternoon,51,\"Avery, Kinsley\"\ne42443,2022/07/13,in the early evening,33,Piper\ne42444,2022/07/13,during lunch hours,11,\"Piper, Nora\"\ne42445,2022/07/13,late in the evening,36,Eva\ne42452,2022/07/14,during lunch hours,17,\"Claire, Eva\"\ne42453,2022/07/14,in the early evening,25,Claire\ne42460,2022/07/15,in the early evening,25,\"Layla, Piper, Nevaeh, Claire\"\ne42461,2022/07/15,in the early afternoon,47,Nora\ne42462,2022/07/15,in the late afternoon,15,\"Hazel, Nevaeh, Eva, Avery\"\ne42469,2022/07/16,in the early evening,14,\"Avery, Eva, Piper, Piper\"\ne42470,2022/07/16,in the late afternoon,12,\"Nora, Hazel\"\ne42471,2022/07/16,in the early evening,8,Kinsley\ne42477,2022/07/17,in the early afternoon,15,\"Lydia, Nevaeh, Hazel, Claire\"\ne42478,2022/07/17,in the early afternoon,44,Lydia\ne42479,2022/07/17,in the morning,15,Olivia\ne42486,2022/07/18,in the early evening,49,\"Nora, Kinsley\"\ne42487,2022/07/18,in the early afternoon,24,\"Rylee, Lydia\"\ne42494,2022/07/19,in the morning,35,Kinsley\ne42501,2022/07/20,in the early evening,27,\"Piper, Eva, Lydia\"\ne42502,2022/07/20,in the morning,48,Nevaeh\ne42509,2022/07/21,in the morning,47,\"Piper, Rylee, Avery\"\ne42510,2022/07/21,in the early afternoon,25,\"Layla, Piper\"\ne42511,2022/07/21,late in the evening,46,\"Claire, Hazel, Piper\"\ne42518,2022/07/22,in the early evening,51,\"Nora, Piper, Olivia\"\ne42519,2022/07/22,late in the evening,35,\"Olivia, Nevaeh\"\ne42526,2022/07/23,late in the evening,53,\"Nora, Avery, Lydia, Piper\"\ne42527,2022/07/23,during lunch hours,5,\"Olivia, Claire, Avery, Nora\"\ne42528,2022/07/23,in the early afternoon,25,\"Rylee, Piper, Layla\"\ne42529,2022/07/23,late in the evening,35,\"Claire, Nora\"\ne42536,2022/07/24,in the late afternoon,53,\"Hazel, Nora, Layla, Kinsley\"\ne42537,2022/07/24,in the early evening,32,\"Avery, Rylee, Piper\"\ne42538,2022/07/24,in the morning,40,\"Avery, Nevaeh, Lydia, Hazel\"\ne42545,2022/07/25,late in the evening,54,\"Layla, Hazel, Avery, Piper\"\ne42546,2022/07/25,late in the evening,48,\"Layla, Piper, Claire\"\ne42547,2022/07/25,during lunch hours,10,\"Olivia, Layla, Nora, Piper\"\ne42548,2022/07/25,in the late afternoon,40,\"Rylee, Eva, Nora, Lydia\"\ne42555,2022/07/26,late in the evening,53,Eva\ne42556,2022/07/26,in the late afternoon,33,\"Claire, Layla\"\ne42557,2022/07/26,in the late afternoon,50,Nora\ne42564,2022/07/27,in the early evening,55,\"Layla, Nora, Avery, Olivia\"\ne42565,2022/07/27,during lunch hours,34,\"Layla, Hazel\"\ne42571,2022/07/28,in the late afternoon,16,\"Layla, Nevaeh, Hazel\"\ne42572,2022/07/28,in the early evening,31,\"Rylee, Kinsley, Layla, Piper\"\ne42573,2022/07/28,during lunch hours,35,\"Kinsley, Claire, Olivia, Avery\"\ne42580,2022/07/29,in the late afternoon,54,Piper\ne42587,2022/07/30,during lunch hours,33,\"Claire, Kinsley, Piper\"\ne42588,2022/07/30,in the late afternoon,18,Hazel\ne42589,2022/07/30,in the morning,49,\"Nevaeh, Layla, Nora, Hazel\"\ne42596,2022/07/31,in the late afternoon,30,\"Kinsley, Piper\"\ne42597,2022/07/31,in the morning,53,\"Piper, Hazel\"\ne42604,2022/08/01,in the early evening,15,\"Hazel, Kinsley, Nora, Eva\"\ne42605,2022/08/01,in the early evening,22,\"Nora, Piper, Kinsley, Hazel\"\ne42606,2022/08/01,in the early evening,48,\"Avery, Olivia\"\ne42607,2022/08/01,in the early afternoon,11,\"Piper, Hazel\"\ne42614,2022/08/02,during lunch hours,34,\"Avery, Olivia\"\ne42615,2022/08/02,late in the evening,43,\"Piper, Claire\"\ne42622,2022/08/03,in the morning,22,\"Nora, Nevaeh, Kinsley, Hazel\"\ne42623,2022/08/03,during lunch hours,54,\"Claire, Rylee\"\ne42630,2022/08/04,late in the evening,32,\"Nora, Claire, Eva, Olivia\"\ne42631,2022/08/04,during lunch hours,7,\"Olivia, Hazel, Piper\"\ne42632,2022/08/04,in the late afternoon,17,\"Claire, Rylee\"\ne42639,2022/08/05,during lunch hours,11,Avery\ne42640,2022/08/05,in the late afternoon,52,Piper\ne42641,2022/08/05,in the late afternoon,53,Nora\ne42648,2022/08/06,late in the evening,20,Eva\ne42649,2022/08/06,during lunch hours,28,Lydia\ne42650,2022/08/06,late in the evening,10,\"Piper, Hazel, Eva\"\ne42651,2022/08/06,in the early evening,13,\"Lydia, Piper, Olivia, Eva\"\ne42658,2022/08/07,in the late afternoon,53,\"Piper, Nevaeh\"\ne42659,2022/08/07,in the morning,22,\"Avery, Nora, Kinsley, Eva\"\ne42665,2022/08/08,in the early afternoon,39,\"Claire, Rylee\"\ne42666,2022/08/08,in the early afternoon,51,\"Kinsley, Claire, Olivia\"\ne42667,2022/08/08,during lunch hours,53,\"Eva, Layla, Claire\"\ne42674,2022/08/09,during lunch hours,12,\"Kinsley, Avery\"\ne42675,2022/08/09,in the late afternoon,33,Hazel\ne42676,2022/08/09,late in the evening,5,\"Piper, Nevaeh, Rylee, Eva\"\ne42677,2022/08/09,in the early evening,6,\"Piper, Nevaeh, Claire, Eva\"\ne42684,2022/08/10,in the early evening,23,\"Kinsley, Lydia, Layla\"\ne42685,2022/08/10,in the early afternoon,12,Kinsley\ne42686,2022/08/10,in the late afternoon,12,\"Olivia, Piper, Nevaeh\"\ne42687,2022/08/10,in the morning,15,\"Nora, Hazel\"\ne42693,2022/08/11,in the early afternoon,46,\"Olivia, Layla, Piper, Nevaeh\"\ne42694,2022/08/11,in the early evening,44,\"Eva, Layla\"\ne42695,2022/08/11,in the early evening,13,\"Lydia, Claire, Piper, Rylee\"\ne42702,2022/08/12,during lunch hours,54,\"Lydia, Layla\"\ne42703,2022/08/12,in the early evening,25,\"Lydia, Nevaeh\"\ne42704,2022/08/12,late in the evening,35,\"Olivia, Piper, Eva\"\ne42705,2022/08/12,in the morning,40,\"Layla, Avery, Lydia\"\ne42712,2022/08/13,during lunch hours,49,Hazel\ne42713,2022/08/13,late in the evening,44,\"Avery, Olivia, Piper, Nevaeh\"\ne42719,2022/08/14,in the morning,55,\"Kinsley, Lydia, Olivia\"\ne42720,2022/08/14,late in the evening,36,Rylee\ne42721,2022/08/14,during lunch hours,17,\"Layla, Olivia, Piper\"\ne42728,2022/08/15,in the late afternoon,52,\"Nora, Nevaeh, Piper, Avery\"\ne42729,2022/08/15,in the morning,7,\"Piper, Piper, Hazel\"\ne42730,2022/08/15,in the morning,32,\"Rylee, Lydia\"\ne42737,2022/08/16,in the morning,12,Olivia\ne42738,2022/08/16,in the early afternoon,18,\"Layla, Avery, Claire\"\ne42739,2022/08/16,during lunch hours,54,\"Layla, Eva, Piper, Rylee\"\ne42746,2022/08/17,in the early afternoon,42,Piper\ne42747,2022/08/17,during lunch hours,51,\"Lydia, Nevaeh, Hazel\"\ne42748,2022/08/17,in the early evening,49,Avery\ne42755,2022/08/18,in the early afternoon,12,\"Kinsley, Lydia\"\ne42756,2022/08/18,in the late afternoon,35,\"Piper, Nora, Rylee\"\ne42757,2022/08/18,in the early evening,23,Hazel\ne42764,2022/08/19,during lunch hours,35,\"Piper, Eva, Rylee, Olivia\"\ne42765,2022/08/19,in the late afternoon,40,Lydia\ne42772,2022/08/20,during lunch hours,13,\"Lydia, Hazel, Olivia\"\ne42773,2022/08/20,in the late afternoon,42,\"Lydia, Rylee\"\ne42774,2022/08/20,during lunch hours,32,\"Piper, Layla, Rylee, Eva\"\ne42781,2022/08/21,in the morning,33,\"Nora, Hazel, Claire, Piper\"\ne42782,2022/08/21,in the late afternoon,30,\"Layla, Piper, Kinsley, Piper\"\ne42783,2022/08/21,in the morning,55,\"Piper, Piper, Lydia\"\ne42790,2022/08/22,late in the evening,6,Layla\ne42791,2022/08/22,in the late afternoon,17,\"Olivia, Nora, Lydia\"\ne42798,2022/08/23,in the early afternoon,46,\"Nora, Nevaeh\"\ne42799,2022/08/23,in the morning,10,\"Rylee, Kinsley, Piper\"\ne42800,2022/08/23,during lunch hours,22,\"Rylee, Piper\"\ne42806,2022/08/24,late in the evening,13,\"Nevaeh, Lydia\"\ne42807,2022/08/24,during lunch hours,25,\"Avery, Nevaeh, Piper\"\ne42808,2022/08/24,in the early evening,35,\"Rylee, Piper, Olivia, Nora\"\ne42815,2022/08/25,late in the evening,23,Layla\ne42816,2022/08/25,in the late afternoon,52,\"Piper, Claire, Kinsley, Nora\"\ne42823,2022/08/26,late in the evening,19,Claire\ne42824,2022/08/26,in the morning,53,\"Eva, Lydia, Piper\"\ne42825,2022/08/26,during lunch hours,7,\"Claire, Avery\"\ne42826,2022/08/26,in the early afternoon,32,\"Lydia, Rylee\"\ne42833,2022/08/27,late in the evening,45,\"Nevaeh, Claire, Lydia, Olivia\"\ne42834,2022/08/27,during lunch hours,44,\"Kinsley, Avery, Piper\"\ne42835,2022/08/27,in the early evening,33,\"Piper, Claire\"\ne42836,2022/08/27,in the late afternoon,7,\"Piper, Avery, Olivia\"\ne42843,2022/08/28,in the early afternoon,38,\"Kinsley, Hazel, Piper\"\ne42844,2022/08/28,late in the evening,50,\"Piper, Eva, Rylee, Lydia\"\ne42845,2022/08/28,in the late afternoon,34,\"Hazel, Nora, Piper, Layla\"\ne42852,2022/08/29,during lunch hours,6,Layla\ne42853,2022/08/29,in the late afternoon,43,Avery\ne42860,2022/08/30,in the early evening,53,Piper\ne42861,2022/08/30,in the late afternoon,34,\"Olivia, Layla\"\ne42862,2022/08/30,in the early afternoon,5,\"Olivia, Nevaeh, Layla, Avery\"\ne42869,2022/08/31,in the late afternoon,33,\"Lydia, Rylee, Layla, Eva\"\ne42870,2022/08/31,in the morning,48,\"Lydia, Avery\"\ne42877,2022/09/01,in the morning,17,Lydia\ne42878,2022/09/01,late in the evening,29,\"Kinsley, Rylee, Nevaeh, Piper\"\ne42879,2022/09/01,late in the evening,21,\"Rylee, Nora, Layla\"\ne42886,2022/09/02,during lunch hours,54,\"Olivia, Kinsley\"\ne42893,2022/09/03,in the early evening,42,\"Piper, Eva, Layla, Avery\"\ne42894,2022/09/03,during lunch hours,45,\"Lydia, Rylee, Olivia\"\ne42895,2022/09/03,late in the evening,29,Piper\ne42902,2022/09/04,in the morning,7,\"Claire, Nora, Avery\"\ne42903,2022/09/04,in the morning,20,Piper\ne42910,2022/09/05,in the early evening,33,\"Piper, Olivia, Nora, Kinsley\"\ne42911,2022/09/05,during lunch hours,24,Rylee\ne42912,2022/09/05,in the late afternoon,13,Hazel\ne42919,2022/09/06,during lunch hours,14,\"Kinsley, Nevaeh, Olivia, Claire\"\ne42920,2022/09/06,in the morning,41,\"Eva, Rylee, Claire\"\ne42927,2022/09/07,late in the evening,35,\"Olivia, Avery, Kinsley\"\ne42928,2022/09/07,in the early evening,33,\"Lydia, Nevaeh, Nora\"\ne42935,2022/09/08,in the early evening,15,\"Olivia, Nevaeh\"\ne42936,2022/09/08,in the early evening,24,\"Eva, Piper, Claire, Piper\"\ne42942,2022/09/09,in the early afternoon,44,Piper\ne42943,2022/09/09,in the early afternoon,19,\"Nora, Lydia, Eva, Rylee\"\ne42944,2022/09/09,in the early evening,26,\"Hazel, Nevaeh, Nora, Kinsley\"\ne42945,2022/09/09,in the late afternoon,17,\"Eva, Nevaeh, Hazel, Claire\"\ne42952,2022/09/10,in the morning,38,\"Olivia, Hazel, Avery\"\ne42953,2022/09/10,in the early afternoon,44,\"Avery, Nora, Olivia, Piper\"\ne42960,2022/09/11,in the early afternoon,43,\"Nevaeh, Piper\"\ne42961,2022/09/11,in the early afternoon,14,\"Olivia, Piper\"\ne42962,2022/09/11,in the late afternoon,14,\"Claire, Kinsley\"\ne42968,2022/09/12,late in the evening,13,Layla\ne42969,2022/09/12,during lunch hours,6,\"Rylee, Lydia, Piper, Avery\"\ne42970,2022/09/12,during lunch hours,32,\"Lydia, Nora\"\ne42977,2022/09/13,late in the evening,28,\"Nora, Rylee\"\ne42978,2022/09/13,in the morning,37,Nora\ne42979,2022/09/13,in the late afternoon,20,\"Layla, Lydia\"\ne42986,2022/09/14,in the early afternoon,14,\"Kinsley, Olivia, Hazel, Nevaeh\"\ne42987,2022/09/14,in the morning,45,\"Eva, Rylee\"\ne42994,2022/09/15,in the early afternoon,47,\"Eva, Claire\"\ne42995,2022/09/15,in the late afternoon,23,\"Eva, Hazel, Claire\"\ne42996,2022/09/15,in the early evening,52,\"Kinsley, Eva, Layla\"\ne43003,2022/09/16,in the late afternoon,34,\"Claire, Rylee, Piper, Nevaeh\"\ne43004,2022/09/16,in the early evening,16,\"Avery, Eva, Hazel, Claire\"\ne43005,2022/09/16,in the morning,47,\"Piper, Olivia, Kinsley, Lydia\"\ne43012,2022/09/17,late in the evening,15,Lydia\ne43013,2022/09/17,late in the evening,45,Rylee\ne43014,2022/09/17,in the early afternoon,25,\"Avery, Kinsley, Piper, Layla\"\ne43021,2022/09/18,in the late afternoon,37,\"Olivia, Claire, Eva, Layla\"\ne43022,2022/09/18,in the late afternoon,5,\"Claire, Rylee, Lydia\"\ne43023,2022/09/18,in the early afternoon,52,\"Olivia, Kinsley\"\ne43030,2022/09/19,in the early evening,41,\"Layla, Nevaeh, Olivia, Lydia\"\ne43031,2022/09/19,during lunch hours,44,\"Eva, Piper\"\ne43038,2022/09/20,in the early afternoon,47,\"Kinsley, Hazel, Nevaeh, Avery\"\ne43039,2022/09/20,in the late afternoon,39,Lydia\ne43046,2022/09/21,in the late afternoon,8,\"Avery, Piper, Piper\"\ne43047,2022/09/21,in the early evening,9,\"Nora, Nevaeh\"\ne43048,2022/09/21,in the early afternoon,13,\"Hazel, Piper, Kinsley, Lydia\"\ne43055,2022/09/22,in the late afternoon,50,\"Piper, Lydia, Nevaeh, Rylee\"\ne43056,2022/09/22,in the late afternoon,35,\"Kinsley, Piper\"\ne43057,2022/09/22,during lunch hours,32,\"Rylee, Layla, Piper\"\ne43064,2022/09/23,during lunch hours,21,\"Lydia, Kinsley\"\ne43065,2022/09/23,in the early evening,42,\"Hazel, Nora, Rylee, Lydia\"\ne43066,2022/09/23,in the early evening,54,Lydia\ne43067,2022/09/23,in the morning,47,\"Hazel, Nevaeh, Piper, Nora\"\ne43074,2022/09/24,in the early evening,23,\"Claire, Eva\"\ne43075,2022/09/24,in the early evening,53,\"Eva, Layla, Avery\"\ne43076,2022/09/24,in the early evening,50,Rylee\ne43077,2022/09/24,in the early evening,51,Nevaeh\ne43083,2022/09/25,in the early evening,33,\"Piper, Rylee, Layla, Nora\"\ne43090,2022/09/26,in the early evening,34,\"Piper, Nora\"\ne43091,2022/09/26,in the early afternoon,27,\"Nevaeh, Olivia\"\ne43092,2022/09/26,in the early evening,18,Olivia\ne43093,2022/09/26,late in the evening,20,\"Nora, Layla\"\ne43100,2022/09/27,in the early afternoon,12,\"Claire, Rylee\"\ne43101,2022/09/27,in the early afternoon,16,Rylee\ne43102,2022/09/27,late in the evening,38,\"Layla, Eva\"\ne43109,2022/09/28,late in the evening,32,\"Rylee, Hazel, Nevaeh, Nora\"\ne43110,2022/09/28,during lunch hours,34,\"Kinsley, Claire, Eva\"\ne43111,2022/09/28,in the early evening,18,\"Olivia, Nevaeh\"\ne43118,2022/09/29,late in the evening,36,\"Avery, Lydia, Hazel\"\ne43119,2022/09/29,in the early evening,21,\"Piper, Eva\"\ne43120,2022/09/29,in the early evening,50,Nora\ne43121,2022/09/29,during lunch hours,55,\"Kinsley, Nevaeh, Lydia, Piper\"\ne43128,2022/09/30,in the morning,34,\"Hazel, Piper\"\ne43129,2022/09/30,in the morning,37,\"Eva, Piper, Lydia, Rylee\"\ne43130,2022/09/30,during lunch hours,17,\"Hazel, Piper, Olivia\"\ne43137,2022/10/01,late in the evening,7,\"Claire, Piper, Nevaeh\"\ne43138,2022/10/01,late in the evening,24,\"Avery, Lydia, Olivia\"\ne43145,2022/10/02,late in the evening,19,\"Claire, Olivia\"\ne43146,2022/10/02,in the morning,48,Layla\ne43147,2022/10/02,in the late afternoon,43,\"Lydia, Nora\"\ne43154,2022/10/03,in the late afternoon,45,Nevaeh\ne43155,2022/10/03,in the early afternoon,36,\"Nevaeh, Piper\"\ne43156,2022/10/03,in the late afternoon,20,\"Eva, Nora\"\ne43162,2022/10/04,in the early evening,51,\"Eva, Piper, Kinsley\"\ne43163,2022/10/04,during lunch hours,21,\"Nora, Avery, Lydia, Olivia\"\ne43170,2022/10/05,in the late afternoon,26,Claire\ne43171,2022/10/05,during lunch hours,53,\"Claire, Olivia\"\ne43172,2022/10/05,during lunch hours,12,Nora\ne43179,2022/10/06,in the late afternoon,19,\"Eva, Lydia\"\ne43180,2022/10/06,in the late afternoon,52,\"Nora, Nevaeh, Hazel, Layla\"\ne43181,2022/10/06,late in the evening,44,\"Lydia, Nora, Layla, Eva\"\ne43188,2022/10/07,during lunch hours,7,\"Olivia, Rylee\"\ne43189,2022/10/07,in the early evening,50,Claire\ne43196,2022/10/08,in the late afternoon,26,\"Rylee, Eva, Avery\"\ne43197,2022/10/08,in the late afternoon,38,Lydia\ne43198,2022/10/08,in the late afternoon,32,\"Avery, Nevaeh, Lydia\"\ne43205,2022/10/09,during lunch hours,23,Nevaeh\ne43206,2022/10/09,in the late afternoon,20,Layla\ne43207,2022/10/09,in the early afternoon,33,Olivia\ne43214,2022/10/10,in the early evening,16,\"Hazel, Avery, Rylee, Claire\"\ne43215,2022/10/10,in the morning,24,Hazel\ne43216,2022/10/10,during lunch hours,29,\"Rylee, Olivia, Piper, Kinsley\"\ne43223,2022/10/11,late in the evening,46,Avery\ne43224,2022/10/11,in the morning,43,\"Kinsley, Nora, Olivia\"\ne43231,2022/10/12,in the early evening,29,\"Eva, Olivia, Kinsley\"\ne43232,2022/10/12,late in the evening,54,Claire\ne43233,2022/10/12,in the morning,30,\"Eva, Lydia\"\ne43240,2022/10/13,in the morning,24,\"Olivia, Nora, Piper\"\ne43241,2022/10/13,in the late afternoon,55,\"Olivia, Nora\"\ne43242,2022/10/13,during lunch hours,21,\"Kinsley, Piper, Claire\"\ne43249,2022/10/14,during lunch hours,27,\"Eva, Piper\"\ne43250,2022/10/14,in the morning,19,\"Claire, Rylee, Avery, Nora\"\ne43251,2022/10/14,in the late afternoon,29,\"Piper, Rylee\"\ne43252,2022/10/14,during lunch hours,12,Nevaeh\ne43259,2022/10/15,in the early afternoon,15,Rylee\ne43260,2022/10/15,late in the evening,40,\"Layla, Kinsley, Nevaeh\"\ne43261,2022/10/15,in the early afternoon,38,\"Piper, Rylee\"\ne43262,2022/10/15,in the early evening,18,\"Rylee, Piper, Nevaeh, Claire\"\ne43269,2022/10/16,in the morning,19,\"Lydia, Piper, Piper, Hazel\"\ne43270,2022/10/16,in the morning,7,Nevaeh\ne43271,2022/10/16,late in the evening,42,\"Hazel, Claire, Avery\"\ne43278,2022/10/17,late in the evening,41,Nevaeh\ne43285,2022/10/18,in the early evening,35,\"Rylee, Kinsley, Avery\"\ne43286,2022/10/18,in the early evening,54,\"Avery, Eva, Lydia\"\ne43287,2022/10/18,late in the evening,35,\"Nora, Rylee, Avery, Kinsley\"\ne43294,2022/10/19,in the late afternoon,52,Piper\ne43295,2022/10/19,in the morning,40,\"Lydia, Piper, Rylee\"\ne43302,2022/10/20,late in the evening,23,Piper\ne43303,2022/10/20,during lunch hours,41,\"Piper, Layla, Claire, Nora\"\ne43310,2022/10/21,in the morning,49,\"Rylee, Lydia\"\ne43311,2022/10/21,in the early afternoon,13,\"Eva, Piper, Lydia\"\ne43312,2022/10/21,in the morning,43,Kinsley\ne43319,2022/10/22,in the late afternoon,43,\"Nora, Kinsley, Avery, Claire\"\ne43320,2022/10/22,in the early afternoon,55,\"Rylee, Layla\"\ne43321,2022/10/22,in the early evening,46,\"Claire, Olivia, Piper, Hazel\"\ne43328,2022/10/23,in the early evening,44,\"Olivia, Piper\"\ne43335,2022/10/24,late in the evening,13,\"Avery, Eva, Olivia, Nora\"\ne43336,2022/10/24,in the early afternoon,47,\"Rylee, Nevaeh, Eva\"\ne43337,2022/10/24,in the early evening,22,\"Claire, Eva, Piper, Kinsley\"\ne43344,2022/10/25,in the early afternoon,33,\"Piper, Nevaeh, Piper\"\ne43345,2022/10/25,in the early evening,17,\"Olivia, Nora\"\ne43352,2022/10/26,in the early evening,5,Rylee\ne43353,2022/10/26,in the early afternoon,35,Piper\ne43354,2022/10/26,late in the evening,6,Rylee\ne43361,2022/10/27,in the late afternoon,15,\"Layla, Nevaeh\"\ne43362,2022/10/27,in the early afternoon,50,\"Hazel, Avery\"\ne43369,2022/10/28,in the early evening,53,\"Nora, Kinsley, Olivia\"\ne43370,2022/10/28,in the early afternoon,32,\"Lydia, Hazel, Olivia, Piper\"\ne43377,2022/10/29,in the early evening,40,\"Lydia, Hazel, Nora\"\ne43378,2022/10/29,during lunch hours,54,\"Olivia, Lydia, Claire\"\ne43379,2022/10/29,during lunch hours,42,\"Hazel, Nevaeh\"\ne43386,2022/10/30,in the late afternoon,5,\"Kinsley, Nora\"\ne43387,2022/10/30,in the morning,8,\"Nora, Hazel, Piper, Avery\"\ne43388,2022/10/30,in the late afternoon,7,\"Eva, Avery, Kinsley, Lydia\"\ne43395,2022/10/31,in the early evening,15,\"Lydia, Rylee, Avery\"\ne43396,2022/10/31,during lunch hours,36,\"Piper, Claire, Kinsley, Lydia\"\ne43397,2022/10/31,in the morning,31,\"Hazel, Nevaeh\"\ne43404,2022/11/01,in the early afternoon,22,\"Avery, Piper, Nevaeh, Kinsley\"\ne43405,2022/11/01,in the morning,22,\"Nevaeh, Avery, Lydia, Hazel\"\ne43412,2022/11/02,during lunch hours,50,Claire\ne43413,2022/11/02,in the morning,8,\"Olivia, Layla, Claire, Nora\"\ne43414,2022/11/02,in the late afternoon,46,\"Kinsley, Eva\"\ne43421,2022/11/03,in the morning,50,\"Lydia, Eva\"\ne43422,2022/11/03,late in the evening,18,Lydia\ne43423,2022/11/03,in the late afternoon,44,\"Eva, Layla\"\ne43430,2022/11/04,late in the evening,49,\"Claire, Layla, Piper\"\ne43431,2022/11/04,during lunch hours,48,\"Eva, Olivia, Piper\"\ne43432,2022/11/04,in the early evening,45,\"Rylee, Nevaeh, Eva, Avery\"\ne43439,2022/11/05,in the early evening,25,\"Piper, Nora, Layla, Kinsley\"\ne43440,2022/11/05,in the early afternoon,23,\"Rylee, Kinsley\"\ne43441,2022/11/05,in the early afternoon,22,\"Avery, Claire\"\ne43448,2022/11/06,in the morning,24,\"Rylee, Kinsley\"\ne43449,2022/11/06,in the early evening,33,\"Kinsley, Piper\"\ne43450,2022/11/06,in the morning,18,\"Avery, Rylee, Eva, Hazel\"\ne43451,2022/11/06,late in the evening,50,\"Hazel, Olivia, Eva\"\ne43458,2022/11/07,in the early evening,51,Piper\ne43459,2022/11/07,in the morning,53,\"Nevaeh, Hazel, Layla\"\ne43460,2022/11/07,in the morning,32,Nora\ne43467,2022/11/08,in the early evening,55,\"Eva, Nevaeh, Nora, Claire\"\ne43468,2022/11/08,in the late afternoon,33,\"Nora, Kinsley\"\ne43469,2022/11/08,in the late afternoon,28,\"Kinsley, Lydia\"\ne43470,2022/11/08,in the late afternoon,15,\"Avery, Piper, Kinsley, Nora\"\ne43477,2022/11/09,in the morning,38,\"Layla, Nevaeh\"\ne43478,2022/11/09,in the late afternoon,46,\"Eva, Nora, Piper\"\ne43479,2022/11/09,in the late afternoon,33,Avery\ne43486,2022/11/10,during lunch hours,7,\"Nevaeh, Kinsley\"\ne43487,2022/11/10,in the late afternoon,29,Hazel\ne43488,2022/11/10,late in the evening,30,\"Kinsley, Rylee, Eva, Hazel\"\ne43489,2022/11/10,in the late afternoon,51,\"Piper, Hazel, Nora\"\ne43496,2022/11/11,in the early evening,55,\"Avery, Rylee\"\ne43497,2022/11/11,in the early afternoon,20,\"Layla, Nevaeh\"\ne43498,2022/11/11,late in the evening,42,Kinsley\ne43499,2022/11/11,late in the evening,47,\"Layla, Avery\"\ne43506,2022/11/12,in the late afternoon,51,\"Piper, Rylee, Kinsley, Olivia\"\ne43507,2022/11/12,in the early afternoon,28,\"Claire, Hazel\"\ne43508,2022/11/12,in the late afternoon,41,Nora\ne43509,2022/11/12,in the late afternoon,14,Hazel\ne43515,2022/11/13,in the late afternoon,11,\"Nevaeh, Hazel, Claire\"\ne43516,2022/11/13,in the early evening,13,\"Olivia, Nevaeh\"\ne43517,2022/11/13,in the late afternoon,18,\"Piper, Rylee, Hazel, Claire\"\ne43524,2022/11/14,in the early afternoon,50,Lydia\ne43525,2022/11/14,in the late afternoon,44,\"Eva, Claire\"\ne43526,2022/11/14,late in the evening,49,\"Olivia, Lydia\"\ne43533,2022/11/15,late in the evening,52,\"Piper, Lydia, Nora, Hazel\"\ne43534,2022/11/15,late in the evening,54,\"Olivia, Lydia\"\ne43535,2022/11/15,in the early afternoon,15,\"Piper, Nora\"\ne43536,2022/11/15,during lunch hours,37,\"Avery, Rylee, Layla\"\ne43543,2022/11/16,late in the evening,47,\"Claire, Nora\"\ne43544,2022/11/16,in the early afternoon,12,Rylee\ne43551,2022/11/17,in the early afternoon,55,\"Eva, Piper\"\ne43552,2022/11/17,during lunch hours,31,\"Lydia, Rylee\"\ne43559,2022/11/18,in the early evening,14,\"Kinsley, Eva, Nora\"\ne43560,2022/11/18,during lunch hours,46,\"Layla, Piper\"\ne43561,2022/11/18,in the early afternoon,46,\"Hazel, Claire, Nora, Avery\"\ne43568,2022/11/19,in the morning,18,Lydia\ne43569,2022/11/19,in the late afternoon,28,\"Avery, Nora, Piper\"\ne43570,2022/11/19,late in the evening,36,Hazel\ne43571,2022/11/19,in the early afternoon,49,\"Olivia, Lydia\"\ne43578,2022/11/20,during lunch hours,13,\"Piper, Layla\"\ne43579,2022/11/20,late in the evening,47,Nora\ne43580,2022/11/20,in the morning,31,Layla\ne43587,2022/11/21,in the morning,55,Claire\ne43588,2022/11/21,late in the evening,38,\"Hazel, Nevaeh\"\ne43595,2022/11/22,during lunch hours,11,\"Claire, Avery, Hazel\"\ne43596,2022/11/22,in the early evening,37,\"Kinsley, Nevaeh, Piper\"\ne43597,2022/11/22,in the early afternoon,32,\"Claire, Avery\"\ne43604,2022/11/23,in the early afternoon,20,\"Eva, Piper, Avery, Olivia\"\ne43605,2022/11/23,late in the evening,8,\"Claire, Piper, Eva\"\ne43606,2022/11/23,late in the evening,12,\"Layla, Nora, Kinsley\"\ne43613,2022/11/24,in the morning,24,\"Kinsley, Hazel\"\ne43614,2022/11/24,in the early evening,30,\"Claire, Nora, Piper\"\ne43615,2022/11/24,in the early afternoon,21,\"Eva, Lydia, Nevaeh\"\ne43622,2022/11/25,during lunch hours,44,\"Olivia, Piper\"\ne43623,2022/11/25,late in the evening,53,\"Olivia, Nevaeh, Layla\"\ne43624,2022/11/25,late in the evening,37,\"Eva, Piper\"\ne43631,2022/11/26,in the early evening,51,\"Olivia, Kinsley\"\ne43632,2022/11/26,in the late afternoon,32,\"Piper, Claire, Eva\"\ne43633,2022/11/26,during lunch hours,26,\"Hazel, Lydia, Eva, Avery\"\ne43639,2022/11/27,in the late afternoon,8,\"Rylee, Claire, Kinsley, Nevaeh\"\ne43640,2022/11/27,in the morning,23,Piper\ne43647,2022/11/28,late in the evening,42,\"Claire, Olivia\"\ne43648,2022/11/28,in the late afternoon,14,\"Kinsley, Avery, Hazel, Layla\"\ne43654,2022/11/29,late in the evening,40,Nora\ne43655,2022/11/29,in the morning,22,\"Lydia, Avery, Nevaeh\"\ne43656,2022/11/29,late in the evening,9,Kinsley\ne43663,2022/11/30,in the morning,37,\"Layla, Avery, Kinsley, Lydia\"\ne43664,2022/11/30,in the late afternoon,25,\"Rylee, Nevaeh, Lydia\"\ne43671,2022/12/01,in the early evening,22,Olivia\ne43678,2022/12/02,during lunch hours,5,\"Piper, Hazel, Claire, Eva\"\ne43679,2022/12/02,in the early evening,54,\"Olivia, Hazel\"\ne43680,2022/12/02,in the morning,47,Claire\ne43687,2022/12/03,in the early afternoon,28,\"Kinsley, Olivia\"\ne43688,2022/12/03,in the early evening,14,\"Eva, Nevaeh, Hazel\"\ne43689,2022/12/03,in the morning,19,\"Piper, Lydia, Nora\"\ne43696,2022/12/04,in the morning,23,\"Nora, Piper, Lydia\"\ne43697,2022/12/04,in the early evening,39,\"Nevaeh, Eva\"\ne43704,2022/12/05,in the morning,27,\"Piper, Avery, Lydia\"\ne43705,2022/12/05,in the early evening,47,\"Hazel, Claire, Layla, Lydia\"\ne43706,2022/12/05,in the early afternoon,43,\"Rylee, Lydia, Claire, Kinsley\"\ne43713,2022/12/06,late in the evening,19,\"Hazel, Rylee, Kinsley, Olivia\"\ne43714,2022/12/06,in the morning,21,\"Nevaeh, Piper, Hazel, Nora\"\ne43721,2022/12/07,in the morning,24,\"Nora, Hazel\"\ne43722,2022/12/07,during lunch hours,53,\"Piper, Nevaeh\"\ne43723,2022/12/07,during lunch hours,8,\"Nora, Lydia, Nevaeh, Olivia\"\ne43729,2022/12/08,in the morning,34,\"Claire, Lydia, Rylee\"\ne43730,2022/12/08,in the morning,11,\"Layla, Claire, Avery, Hazel\"\ne43737,2022/12/09,late in the evening,21,\"Lydia, Eva, Kinsley, Nevaeh\"\ne43738,2022/12/09,in the early afternoon,14,\"Kinsley, Hazel, Claire\"\ne43739,2022/12/09,in the early evening,52,\"Lydia, Piper\"\ne43740,2022/12/09,in the early evening,21,Kinsley\ne43746,2022/12/10,in the early evening,33,Kinsley\ne43747,2022/12/10,in the late afternoon,14,\"Rylee, Nevaeh, Avery, Hazel\"\ne43754,2022/12/11,in the early evening,8,\"Eva, Piper, Olivia, Layla\"\ne43755,2022/12/11,in the early afternoon,18,\"Hazel, Rylee, Avery\"\ne43762,2022/12/12,in the early evening,25,Rylee\ne43763,2022/12/12,late in the evening,9,\"Avery, Nora, Piper\"\ne43769,2022/12/13,in the morning,23,\"Claire, Hazel\"\ne43770,2022/12/13,in the late afternoon,38,\"Kinsley, Layla, Nevaeh, Claire\"\ne43771,2022/12/13,in the morning,34,\"Layla, Nevaeh\"\ne43778,2022/12/14,in the morning,14,\"Nora, Rylee, Piper, Nevaeh\"\ne43779,2022/12/14,during lunch hours,45,\"Nora, Eva\"\ne43786,2022/12/15,in the early evening,29,\"Lydia, Piper, Rylee, Layla\"\ne43787,2022/12/15,late in the evening,22,\"Kinsley, Nora\"\ne43788,2022/12/15,in the early afternoon,10,\"Layla, Nevaeh, Olivia, Hazel\"\ne43795,2022/12/16,in the early evening,47,\"Layla, Piper, Avery\"\ne43796,2022/12/16,in the late afternoon,29,\"Kinsley, Eva\"\ne43797,2022/12/16,in the early afternoon,28,\"Claire, Avery, Piper\"\ne43798,2022/12/16,in the late afternoon,47,\"Nora, Layla, Nevaeh\"\ne43805,2022/12/17,in the early evening,5,\"Piper, Rylee, Lydia, Piper\"\ne43806,2022/12/17,in the early evening,19,\"Lydia, Hazel, Rylee\"\ne43813,2022/12/18,during lunch hours,42,\"Piper, Claire\"\ne43814,2022/12/18,during lunch hours,22,\"Claire, Eva, Lydia\"\ne43815,2022/12/18,in the early evening,19,Nora\ne43816,2022/12/18,in the early evening,20,\"Rylee, Layla, Avery\"\ne43823,2022/12/19,late in the evening,30,Lydia\ne43824,2022/12/19,in the early evening,7,\"Olivia, Claire\"\ne43825,2022/12/19,during lunch hours,11,Layla\ne43832,2022/12/20,in the early evening,55,\"Avery, Claire, Hazel\"\ne43833,2022/12/20,during lunch hours,21,\"Nevaeh, Rylee, Nora\"\ne43834,2022/12/20,during lunch hours,20,Lydia\ne43835,2022/12/20,in the early evening,36,\"Kinsley, Claire, Avery, Hazel\"\ne43842,2022/12/21,late in the evening,40,\"Nora, Rylee, Piper, Nevaeh\"\ne43843,2022/12/21,in the early afternoon,49,\"Olivia, Avery, Hazel, Layla\"\ne43850,2022/12/22,late in the evening,11,\"Lydia, Piper, Claire\"\ne43851,2022/12/22,during lunch hours,29,\"Eva, Layla\"\ne43858,2022/12/23,in the early afternoon,47,\"Rylee, Eva, Lydia\"\ne43859,2022/12/23,in the early evening,35,\"Rylee, Nora, Nevaeh, Claire\"\ne43866,2022/12/24,in the early evening,33,\"Nevaeh, Hazel, Avery, Piper\"\ne43867,2022/12/24,during lunch hours,9,Eva\ne43868,2022/12/24,in the early afternoon,25,Eva\ne43875,2022/12/25,in the early afternoon,54,\"Hazel, Lydia\"\ne43876,2022/12/25,in the late afternoon,46,\"Piper, Claire, Rylee\"\ne43877,2022/12/25,in the early evening,40,\"Nora, Claire\"\ne43884,2022/12/26,in the early evening,23,\"Rylee, Layla, Eva, Lydia\"\ne43885,2022/12/26,in the morning,31,\"Lydia, Layla, Nora\"\ne43886,2022/12/26,in the morning,9,Piper\ne43893,2022/12/27,in the early afternoon,39,\"Piper, Kinsley, Nevaeh\"\ne43894,2022/12/27,during lunch hours,19,Claire\ne43895,2022/12/27,during lunch hours,37,\"Layla, Lydia, Piper, Avery\"\ne43896,2022/12/27,during lunch hours,35,\"Nevaeh, Piper, Nora, Lydia\"\ne43902,2022/12/28,in the morning,25,\"Kinsley, Piper, Piper\"\ne43903,2022/12/28,in the early afternoon,35,\"Claire, Hazel, Nora\"\ne43910,2022/12/29,in the late afternoon,39,\"Nora, Nevaeh, Avery, Lydia\"\ne43911,2022/12/29,late in the evening,43,\"Layla, Piper\"\ne43912,2022/12/29,late in the evening,37,\"Piper, Piper, Layla, Avery\"\ne43919,2022/12/30,in the early afternoon,52,Piper\ne43920,2022/12/30,in the early evening,35,\"Nevaeh, Claire, Kinsley, Hazel\"\ne43921,2022/12/30,during lunch hours,12,\"Nora, Hazel, Nevaeh, Claire\"\ne43922,2022/12/30,late in the evening,5,\"Layla, Piper, Avery, Lydia\"\ne43929,2022/12/31,during lunch hours,54,Hazel\ne43930,2022/12/31,in the early evening,7,\"Nevaeh, Piper\"\ne43931,2022/12/31,in the early afternoon,12,\"Nevaeh, Olivia\"\ne43932,2022/12/31,in the morning,30,\"Olivia, Claire, Eva\"\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/daily_exercise-log.csv",
    "content": "eid,date,exercise,heart_rate\ne203,2010/01/01,running,150\ne211,2010/01/02,HIIT,111\ne220,2010/01/03,weight lifting,135\ne229,2010/01/04,hiking,164\ne239,2010/01/05,biking,141\ne247,2010/01/06,weight lifting,144\ne261,2010/01/08,weight lifting,150\ne270,2010/01/09,running,147\ne279,2010/01/10,weight lifting,128\ne288,2010/01/11,HIIT,147\ne297,2010/01/12,hiking,133\ne305,2010/01/13,running,155\ne312,2010/01/14,running,126\ne321,2010/01/15,HIIT,111\ne329,2010/01/16,hiking,128\ne338,2010/01/17,biking,155\ne346,2010/01/18,weight lifting,132\ne355,2010/01/19,biking,141\ne363,2010/01/20,running,149\ne371,2010/01/21,running,150\ne380,2010/01/22,HIIT,116\ne397,2010/01/24,running,157\ne405,2010/01/25,hiking,120\ne414,2010/01/26,weight lifting,158\ne421,2010/01/27,biking,157\ne439,2010/01/29,weight lifting,164\ne449,2010/01/30,HIIT,137\ne458,2010/01/31,hiking,125\ne466,2010/02/01,weight lifting,162\ne473,2010/02/02,biking,151\ne483,2010/02/03,biking,153\ne492,2010/02/04,biking,144\ne500,2010/02/05,hiking,103\ne508,2010/02/06,running,137\ne524,2010/02/08,biking,143\ne532,2010/02/09,HIIT,159\ne540,2010/02/10,swimming,118\ne547,2010/02/11,biking,148\ne610,2010/02/19,swimming,137\ne619,2010/02/20,HIIT,165\ne628,2010/02/21,weight lifting,129\ne637,2010/02/22,running,160\ne646,2010/02/23,weight lifting,142\ne655,2010/02/24,swimming,115\ne665,2010/02/25,HIIT,157\ne673,2010/02/26,swimming,156\ne681,2010/02/27,running,151\ne691,2010/02/28,hiking,148\ne700,2010/03/01,biking,144\ne707,2010/03/02,weight lifting,155\ne715,2010/03/03,HIIT,120\ne724,2010/03/04,hiking,149\ne733,2010/03/05,HIIT,147\ne742,2010/03/06,hiking,139\ne751,2010/03/07,hiking,119\ne760,2010/03/08,weight lifting,164\ne767,2010/03/09,running,163\ne776,2010/03/10,running,133\ne786,2010/03/11,biking,148\ne794,2010/03/12,swimming,164\ne803,2010/03/13,biking,143\ne812,2010/03/14,swimming,149\ne834,2010/03/17,hiking,135\ne852,2010/03/19,HIIT,148\ne860,2010/03/20,HIIT,146\ne869,2010/03/21,swimming,159\ne878,2010/03/22,swimming,156\ne886,2010/03/23,weight lifting,107\ne896,2010/03/24,hiking,160\ne904,2010/03/25,running,119\ne912,2010/03/26,weight lifting,140\ne921,2010/03/27,HIIT,138\ne940,2010/03/29,weight lifting,128\ne948,2010/03/30,weight lifting,154\ne965,2010/04/01,HIIT,151\ne975,2010/04/02,swimming,121\ne991,2010/04/04,HIIT,138\ne999,2010/04/05,HIIT,132\ne1009,2010/04/06,biking,151\ne1018,2010/04/07,swimming,107\ne1027,2010/04/08,HIIT,116\ne1036,2010/04/09,HIIT,162\ne1045,2010/04/10,running,113\ne1053,2010/04/11,weight lifting,153\ne1061,2010/04/12,hiking,118\ne1070,2010/04/13,swimming,148\ne1079,2010/04/14,swimming,141\ne1111,2010/04/18,hiking,106\ne1121,2010/04/19,weight lifting,149\ne1130,2010/04/20,running,154\ne1137,2010/04/21,hiking,144\ne1145,2010/04/22,HIIT,151\ne1154,2010/04/23,biking,148\ne1163,2010/04/24,hiking,101\ne1172,2010/04/25,weight lifting,131\ne1180,2010/04/26,weight lifting,155\ne1188,2010/04/27,swimming,151\ne1197,2010/04/28,HIIT,105\ne1206,2010/04/29,biking,153\ne1214,2010/04/30,biking,131\ne1223,2010/05/01,running,152\ne1231,2010/05/02,hiking,165\ne1240,2010/05/03,weight lifting,122\ne1247,2010/05/04,hiking,115\ne1255,2010/05/05,running,146\ne1263,2010/05/06,HIIT,150\ne1273,2010/05/07,HIIT,147\ne1281,2010/05/08,HIIT,151\ne1289,2010/05/09,running,161\ne1298,2010/05/10,weight lifting,159\ne1308,2010/05/11,weight lifting,152\ne1317,2010/05/12,running,154\ne1325,2010/05/13,weight lifting,129\ne1342,2010/05/15,weight lifting,139\ne1352,2010/05/16,running,137\ne1362,2010/05/17,running,126\ne1371,2010/05/18,swimming,128\ne1380,2010/05/19,HIIT,130\ne1388,2010/05/20,swimming,128\ne1397,2010/05/21,weight lifting,149\ne1406,2010/05/22,swimming,133\ne1416,2010/05/23,running,122\ne1424,2010/05/24,HIIT,164\ne1432,2010/05/25,hiking,136\ne1441,2010/05/26,HIIT,154\ne1450,2010/05/27,hiking,135\ne1458,2010/05/28,weight lifting,156\ne1468,2010/05/29,weight lifting,100\ne1477,2010/05/30,hiking,164\ne1486,2010/05/31,swimming,125\ne1494,2010/06/01,weight lifting,154\ne1503,2010/06/02,hiking,142\ne1513,2010/06/03,biking,153\ne1523,2010/06/04,weight lifting,160\ne1533,2010/06/05,weight lifting,148\ne1543,2010/06/06,swimming,145\ne1551,2010/06/07,hiking,132\ne1559,2010/06/08,hiking,126\ne1575,2010/06/10,HIIT,93\ne1593,2010/06/12,weight lifting,159\ne1602,2010/06/13,hiking,115\ne1610,2010/06/14,HIIT,122\ne1618,2010/06/15,swimming,134\ne1626,2010/06/16,running,130\ne1635,2010/06/17,hiking,113\ne1651,2010/06/19,running,140\ne1661,2010/06/20,weight lifting,128\ne1669,2010/06/21,HIIT,129\ne1678,2010/06/22,swimming,146\ne1686,2010/06/23,hiking,127\ne1695,2010/06/24,running,121\ne1705,2010/06/25,weight lifting,157\ne1715,2010/06/26,weight lifting,142\ne1724,2010/06/27,hiking,162\ne1734,2010/06/28,hiking,115\ne1744,2010/06/29,weight lifting,136\ne1754,2010/06/30,running,144\ne1762,2010/07/01,hiking,161\ne1777,2010/07/03,HIIT,154\ne1786,2010/07/04,biking,127\ne1793,2010/07/05,running,132\ne1801,2010/07/06,swimming,133\ne1810,2010/07/07,biking,125\ne1820,2010/07/08,HIIT,134\ne1828,2010/07/09,hiking,120\ne1837,2010/07/10,hiking,154\ne1845,2010/07/11,running,114\ne1855,2010/07/12,swimming,161\ne1864,2010/07/13,HIIT,162\ne1874,2010/07/14,weight lifting,151\ne1883,2010/07/15,swimming,141\ne1893,2010/07/16,running,164\ne1902,2010/07/17,swimming,140\ne1911,2010/07/18,biking,141\ne1928,2010/07/20,running,149\ne1937,2010/07/21,running,162\ne1945,2010/07/22,hiking,126\ne1955,2010/07/23,biking,158\ne1964,2010/07/24,hiking,146\ne1973,2010/07/25,running,133\ne1982,2010/07/26,biking,148\ne1991,2010/07/27,running,101\ne2000,2010/07/28,weight lifting,133\ne2009,2010/07/29,hiking,149\ne2017,2010/07/30,HIIT,149\ne2027,2010/07/31,weight lifting,146\ne2036,2010/08/01,HIIT,114\ne2046,2010/08/02,hiking,163\ne2056,2010/08/03,hiking,146\ne2074,2010/08/05,weight lifting,129\ne2084,2010/08/06,hiking,133\ne2091,2010/08/07,HIIT,158\ne2098,2010/08/08,running,128\ne2106,2010/08/09,biking,128\ne2114,2010/08/10,weight lifting,155\ne2122,2010/08/11,biking,149\ne2130,2010/08/12,HIIT,138\ne2138,2010/08/13,swimming,154\ne2145,2010/08/14,running,145\ne2154,2010/08/15,biking,153\ne2162,2010/08/16,hiking,136\ne2172,2010/08/17,weight lifting,114\ne2188,2010/08/19,running,160\ne2196,2010/08/20,swimming,154\ne2205,2010/08/21,hiking,141\ne2220,2010/08/23,hiking,130\ne2229,2010/08/24,HIIT,147\ne2237,2010/08/25,weight lifting,162\ne2245,2010/08/26,hiking,138\ne2253,2010/08/27,swimming,142\ne2261,2010/08/28,hiking,153\ne2270,2010/08/29,hiking,160\ne2279,2010/08/30,swimming,151\ne2287,2010/08/31,weight lifting,165\ne2296,2010/09/01,hiking,118\ne2304,2010/09/02,HIIT,142\ne2314,2010/09/03,swimming,145\ne2323,2010/09/04,hiking,163\ne2332,2010/09/05,hiking,151\ne2340,2010/09/06,running,160\ne2350,2010/09/07,swimming,130\ne2360,2010/09/08,hiking,152\ne2369,2010/09/09,biking,165\ne2377,2010/09/10,biking,129\ne2387,2010/09/11,swimming,154\ne2396,2010/09/12,hiking,131\ne2404,2010/09/13,hiking,159\ne2413,2010/09/14,swimming,164\ne2422,2010/09/15,weight lifting,157\ne2430,2010/09/16,swimming,164\ne2439,2010/09/17,weight lifting,154\ne2448,2010/09/18,running,128\ne2457,2010/09/19,HIIT,158\ne2467,2010/09/20,running,160\ne2477,2010/09/21,HIIT,144\ne2486,2010/09/22,running,124\ne2495,2010/09/23,swimming,138\ne2504,2010/09/24,running,136\ne2512,2010/09/25,weight lifting,150\ne2522,2010/09/26,running,157\ne2531,2010/09/27,biking,162\ne2539,2010/09/28,HIIT,159\ne2549,2010/09/29,hiking,149\ne2557,2010/09/30,biking,136\ne2567,2010/10/01,weight lifting,118\ne2575,2010/10/02,running,157\ne2584,2010/10/03,swimming,154\ne2592,2010/10/04,HIIT,128\ne2601,2010/10/05,HIIT,158\ne2610,2010/10/06,biking,128\ne2618,2010/10/07,hiking,162\ne2627,2010/10/08,weight lifting,156\ne2644,2010/10/10,swimming,163\ne2654,2010/10/11,running,121\ne2662,2010/10/12,weight lifting,164\ne2670,2010/10/13,hiking,141\ne2678,2010/10/14,running,154\ne2687,2010/10/15,HIIT,154\ne2696,2010/10/16,swimming,125\ne2713,2010/10/18,HIIT,160\ne2721,2010/10/19,swimming,110\ne2731,2010/10/20,running,131\ne2740,2010/10/21,weight lifting,119\ne2749,2010/10/22,weight lifting,157\ne2757,2010/10/23,swimming,100\ne2767,2010/10/24,biking,143\ne2785,2010/10/26,weight lifting,133\ne2795,2010/10/27,biking,150\ne2804,2010/10/28,hiking,153\ne2813,2010/10/29,weight lifting,144\ne2822,2010/10/30,biking,165\ne2831,2010/10/31,biking,161\ne2840,2010/11/01,HIIT,139\ne2848,2010/11/02,biking,164\ne2856,2010/11/03,weight lifting,113\ne2865,2010/11/04,biking,155\ne2874,2010/11/05,hiking,138\ne2882,2010/11/06,hiking,109\ne2900,2010/11/08,biking,155\ne2908,2010/11/09,hiking,115\ne2918,2010/11/10,HIIT,101\ne2928,2010/11/11,biking,132\ne2937,2010/11/12,swimming,135\ne2947,2010/11/13,HIIT,105\ne2957,2010/11/14,weight lifting,101\ne2965,2010/11/15,HIIT,119\ne2975,2010/11/16,HIIT,158\ne2991,2010/11/18,weight lifting,144\ne3000,2010/11/19,biking,164\ne3015,2010/11/21,biking,157\ne3023,2010/11/22,biking,158\ne3033,2010/11/23,running,140\ne3042,2010/11/24,running,127\ne3051,2010/11/25,hiking,164\ne3061,2010/11/26,biking,123\ne3070,2010/11/27,running,131\ne3078,2010/11/28,biking,150\ne3088,2010/11/29,biking,158\ne3098,2010/11/30,swimming,156\ne3107,2010/12/01,HIIT,158\ne3116,2010/12/02,weight lifting,123\ne3138,2010/12/05,weight lifting,163\ne3147,2010/12/06,hiking,155\ne3156,2010/12/07,weight lifting,165\ne3164,2010/12/08,biking,161\ne3172,2010/12/09,hiking,161\ne3182,2010/12/10,weight lifting,154\ne3190,2010/12/11,swimming,134\ne3207,2010/12/13,swimming,146\ne3217,2010/12/14,swimming,141\ne3225,2010/12/15,running,141\ne3235,2010/12/16,swimming,148\ne3243,2010/12/17,HIIT,156\ne3253,2010/12/18,running,144\ne3263,2010/12/19,HIIT,150\ne3272,2010/12/20,weight lifting,159\ne3280,2010/12/21,running,161\ne3290,2010/12/22,hiking,158\ne3298,2010/12/23,running,158\ne3307,2010/12/24,weight lifting,128\ne3317,2010/12/25,weight lifting,165\ne3325,2010/12/26,running,137\ne3333,2010/12/27,running,162\ne3342,2010/12/28,hiking,149\ne3352,2010/12/29,weight lifting,148\ne3361,2010/12/30,hiking,145\ne3368,2010/12/31,biking,163\ne3581,2011/01/01,running,126\ne3589,2011/01/02,weight lifting,115\ne3598,2011/01/03,hiking,142\ne3606,2011/01/04,running,126\ne3616,2011/01/05,HIIT,159\ne3632,2011/01/07,swimming,158\ne3647,2011/01/09,running,152\ne3657,2011/01/10,HIIT,130\ne3665,2011/01/11,running,158\ne3674,2011/01/12,HIIT,148\ne3682,2011/01/13,biking,127\ne3691,2011/01/14,weight 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lifting,141\ne38963,2021/07/02,biking,152\ne38980,2021/07/04,HIIT,112\ne38989,2021/07/05,swimming,112\ne38999,2021/07/06,HIIT,155\ne39006,2021/07/07,running,132\ne39014,2021/07/08,running,155\ne39022,2021/07/09,hiking,161\ne39031,2021/07/10,swimming,144\ne39041,2021/07/11,swimming,136\ne39050,2021/07/12,hiking,151\ne39057,2021/07/13,biking,119\ne39066,2021/07/14,hiking,112\ne39075,2021/07/15,HIIT,136\ne39083,2021/07/16,hiking,148\ne39092,2021/07/17,running,159\ne39100,2021/07/18,swimming,122\ne39110,2021/07/19,biking,155\ne39119,2021/07/20,HIIT,157\ne39127,2021/07/21,biking,162\ne39136,2021/07/22,HIIT,115\ne39146,2021/07/23,biking,147\ne39155,2021/07/24,running,124\ne39172,2021/07/26,running,161\ne39180,2021/07/27,weight lifting,153\ne39189,2021/07/28,swimming,139\ne39198,2021/07/29,biking,155\ne39207,2021/07/30,hiking,159\ne39224,2021/08/01,weight lifting,149\ne39234,2021/08/02,hiking,115\ne39243,2021/08/03,swimming,161\ne39253,2021/08/04,hiking,161\ne39262,2021/08/05,HIIT,138\ne39270,2021/08/06,weight lifting,111\ne39279,2021/08/07,biking,152\ne39289,2021/08/08,swimming,153\ne39305,2021/08/10,biking,113\ne39314,2021/08/11,hiking,155\ne39323,2021/08/12,weight lifting,149\ne39332,2021/08/13,HIIT,164\ne39341,2021/08/14,swimming,154\ne39349,2021/08/15,HIIT,149\ne39357,2021/08/16,swimming,144\ne39366,2021/08/17,HIIT,129\ne39376,2021/08/18,running,126\ne39394,2021/08/20,biking,161\ne39410,2021/08/22,HIIT,109\ne39419,2021/08/23,running,138\ne39427,2021/08/24,HIIT,163\ne39437,2021/08/25,HIIT,154\ne39445,2021/08/26,HIIT,155\ne39454,2021/08/27,running,133\ne39464,2021/08/28,weight 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lifting,139\ne40054,2021/11/04,hiking,123\ne40071,2021/11/06,weight lifting,99\ne40080,2021/11/07,hiking,148\ne40089,2021/11/08,swimming,120\ne40097,2021/11/09,biking,149\ne40105,2021/11/10,hiking,149\ne40115,2021/11/11,weight lifting,134\ne40125,2021/11/12,HIIT,154\ne40134,2021/11/13,swimming,154\ne40150,2021/11/15,HIIT,160\ne40158,2021/11/16,swimming,139\ne40166,2021/11/17,hiking,120\ne40175,2021/11/18,swimming,163\ne40184,2021/11/19,biking,154\ne40192,2021/11/20,HIIT,125\ne40201,2021/11/21,biking,142\ne40210,2021/11/22,running,110\ne40219,2021/11/23,biking,131\ne40234,2021/11/25,weight lifting,132\ne40243,2021/11/26,swimming,141\ne40250,2021/11/27,biking,133\ne40260,2021/11/28,hiking,152\ne40269,2021/11/29,running,115\ne40277,2021/11/30,HIIT,164\ne40286,2021/12/01,weight lifting,107\ne40294,2021/12/02,biking,159\ne40302,2021/12/03,hiking,152\ne40310,2021/12/04,hiking,165\ne40326,2021/12/06,weight lifting,124\ne40340,2021/12/08,biking,160\ne40350,2021/12/09,swimming,149\ne40366,2021/12/11,HIIT,131\ne40374,2021/12/12,HIIT,130\ne40384,2021/12/13,HIIT,146\ne40393,2021/12/14,biking,139\ne40403,2021/12/15,biking,155\ne40412,2021/12/16,hiking,101\ne40421,2021/12/17,weight lifting,158\ne40430,2021/12/18,running,159\ne40439,2021/12/19,HIIT,151\ne40449,2021/12/20,weight lifting,153\ne40458,2021/12/21,hiking,145\ne40467,2021/12/22,running,123\ne40474,2021/12/23,weight lifting,134\ne40484,2021/12/24,biking,154\ne40493,2021/12/25,hiking,137\ne40510,2021/12/27,running,120\ne40518,2021/12/28,biking,107\ne40532,2021/12/30,hiking,163\ne40540,2021/12/31,running,153\ne40776,2022/01/01,hiking,150\ne40784,2022/01/02,hiking,140\ne40792,2022/01/03,swimming,154\ne40801,2022/01/04,weight lifting,144\ne40811,2022/01/05,weight lifting,160\ne40818,2022/01/06,running,124\ne40826,2022/01/07,weight 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lifting,129\ne41097,2022/02/07,swimming,158\ne41106,2022/02/08,swimming,165\ne41114,2022/02/09,HIIT,165\ne41123,2022/02/10,biking,136\ne41131,2022/02/11,swimming,137\ne41139,2022/02/12,weight lifting,149\ne41148,2022/02/13,HIIT,118\ne41157,2022/02/14,running,147\ne41174,2022/02/16,swimming,162\ne41182,2022/02/17,weight lifting,134\ne41189,2022/02/18,hiking,150\ne41198,2022/02/19,biking,139\ne41207,2022/02/20,swimming,149\ne41215,2022/02/21,biking,163\ne41224,2022/02/22,running,156\ne41233,2022/02/23,weight lifting,141\ne41241,2022/02/24,hiking,153\ne41251,2022/02/25,HIIT,165\ne41260,2022/02/26,running,164\ne41269,2022/02/27,weight lifting,115\ne41277,2022/02/28,HIIT,113\ne41286,2022/03/01,weight lifting,163\ne41296,2022/03/02,biking,159\ne41304,2022/03/03,HIIT,164\ne41314,2022/03/04,swimming,151\ne41322,2022/03/05,hiking,101\ne41329,2022/03/06,biking,135\ne41337,2022/03/07,HIIT,151\ne41345,2022/03/08,swimming,147\ne41353,2022/03/09,hiking,109\ne41361,2022/03/10,swimming,110\ne41370,2022/03/11,biking,139\ne41380,2022/03/12,hiking,125\ne41394,2022/03/14,biking,154\ne41403,2022/03/15,running,138\ne41412,2022/03/16,hiking,133\ne41421,2022/03/17,HIIT,157\ne41431,2022/03/18,swimming,134\ne41438,2022/03/19,weight lifting,113\ne41447,2022/03/20,weight lifting,136\ne41455,2022/03/21,swimming,102\ne41465,2022/03/22,weight lifting,151\ne41474,2022/03/23,hiking,139\ne41483,2022/03/24,hiking,150\ne41491,2022/03/25,swimming,113\ne41498,2022/03/26,biking,152\ne41508,2022/03/27,hiking,155\ne41517,2022/03/28,swimming,124\ne41526,2022/03/29,weight lifting,143\ne41533,2022/03/30,weight lifting,156\ne41541,2022/03/31,biking,159\ne41548,2022/04/01,HIIT,132\ne41556,2022/04/02,hiking,139\ne41565,2022/04/03,HIIT,136\ne41575,2022/04/04,swimming,120\ne41584,2022/04/05,biking,128\ne41592,2022/04/06,HIIT,157\ne41599,2022/04/07,biking,153\ne41608,2022/04/08,running,157\ne41634,2022/04/11,running,161\ne41644,2022/04/12,swimming,152\ne41653,2022/04/13,swimming,104\ne41661,2022/04/14,swimming,127\ne41670,2022/04/15,hiking,115\ne41678,2022/04/16,HIIT,145\ne41687,2022/04/17,swimming,151\ne41695,2022/04/18,weight 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lifting,133\ne41983,2022/05/21,swimming,138\ne41992,2022/05/22,HIIT,116\ne42000,2022/05/23,weight lifting,137\ne42071,2022/06/01,biking,144\ne42086,2022/06/03,weight lifting,158\ne42095,2022/06/04,swimming,131\ne42104,2022/06/05,HIIT,114\ne42113,2022/06/06,swimming,130\ne42121,2022/06/07,weight lifting,149\ne42129,2022/06/08,weight lifting,121\ne42137,2022/06/09,weight lifting,148\ne42145,2022/06/10,HIIT,101\ne42155,2022/06/11,HIIT,142\ne42164,2022/06/12,HIIT,145\ne42174,2022/06/13,running,131\ne42184,2022/06/14,HIIT,132\ne42194,2022/06/15,weight lifting,151\ne42204,2022/06/16,swimming,164\ne42213,2022/06/17,HIIT,157\ne42231,2022/06/19,HIIT,122\ne42239,2022/06/20,running,158\ne42247,2022/06/21,running,163\ne42257,2022/06/22,hiking,163\ne42266,2022/06/23,swimming,162\ne42275,2022/06/24,running,150\ne42291,2022/06/26,HIIT,156\ne42301,2022/06/27,swimming,144\ne42318,2022/06/29,weight lifting,152\ne42334,2022/07/01,weight lifting,142\ne42342,2022/07/02,biking,152\ne42351,2022/07/03,biking,154\ne42359,2022/07/04,hiking,155\ne42369,2022/07/05,running,104\ne42377,2022/07/06,swimming,138\ne42386,2022/07/07,swimming,150\ne42395,2022/07/08,hiking,140\ne42404,2022/07/09,weight lifting,163\ne42412,2022/07/10,hiking,148\ne42421,2022/07/11,weight lifting,136\ne42438,2022/07/13,running,159\ne42448,2022/07/14,biking,157\ne42456,2022/07/15,hiking,149\ne42465,2022/07/16,weight lifting,156\ne42482,2022/07/18,running,161\ne42490,2022/07/19,running,146\ne42497,2022/07/20,weight lifting,111\ne42505,2022/07/21,running,105\ne42514,2022/07/22,hiking,157\ne42522,2022/07/23,hiking,163\ne42532,2022/07/24,weight lifting,121\ne42541,2022/07/25,HIIT,160\ne42551,2022/07/26,running,153\ne42560,2022/07/27,swimming,156\ne42576,2022/07/29,hiking,116\ne42583,2022/07/30,biking,147\ne42592,2022/07/31,HIIT,112\ne42600,2022/08/01,hiking,100\ne42610,2022/08/02,hiking,135\ne42618,2022/08/03,HIIT,121\ne42626,2022/08/04,running,127\ne42635,2022/08/05,biking,120\ne42644,2022/08/06,weight lifting,158\ne42654,2022/08/07,hiking,112\ne42670,2022/08/09,swimming,146\ne42680,2022/08/10,biking,121\ne42698,2022/08/12,hiking,163\ne42708,2022/08/13,swimming,135\ne42724,2022/08/15,HIIT,156\ne42733,2022/08/16,HIIT,113\ne42742,2022/08/17,swimming,163\ne42751,2022/08/18,swimming,161\ne42760,2022/08/19,weight lifting,142\ne42768,2022/08/20,HIIT,162\ne42777,2022/08/21,hiking,144\ne42786,2022/08/22,weight lifting,161\ne42794,2022/08/23,weight lifting,155\ne42811,2022/08/25,swimming,137\ne42819,2022/08/26,running,151\ne42829,2022/08/27,running,149\ne42839,2022/08/28,biking,151\ne42848,2022/08/29,HIIT,95\ne42856,2022/08/30,HIIT,132\ne42865,2022/08/31,swimming,158\ne42873,2022/09/01,running,133\ne42882,2022/09/02,running,157\ne42889,2022/09/03,HIIT,148\ne42898,2022/09/04,swimming,149\ne42906,2022/09/05,swimming,142\ne42915,2022/09/06,weight lifting,150\ne42923,2022/09/07,biking,162\ne42931,2022/09/08,hiking,155\ne42948,2022/09/10,HIIT,101\ne42956,2022/09/11,weight lifting,137\ne42973,2022/09/13,running,103\ne42982,2022/09/14,biking,124\ne42990,2022/09/15,HIIT,149\ne42999,2022/09/16,weight lifting,125\ne43008,2022/09/17,weight lifting,156\ne43017,2022/09/18,swimming,165\ne43026,2022/09/19,swimming,160\ne43034,2022/09/20,biking,163\ne43042,2022/09/21,HIIT,164\ne43051,2022/09/22,HIIT,132\ne43060,2022/09/23,hiking,144\ne43070,2022/09/24,biking,154\ne43086,2022/09/26,running,141\ne43096,2022/09/27,running,140\ne43105,2022/09/28,swimming,142\ne43114,2022/09/29,biking,156\ne43124,2022/09/30,hiking,150\ne43133,2022/10/01,running,152\ne43141,2022/10/02,HIIT,111\ne43150,2022/10/03,hiking,147\ne43166,2022/10/05,biking,133\ne43175,2022/10/06,weight lifting,156\ne43184,2022/10/07,swimming,145\ne43192,2022/10/08,running,151\ne43201,2022/10/09,swimming,140\ne43210,2022/10/10,hiking,153\ne43219,2022/10/11,weight lifting,104\ne43227,2022/10/12,swimming,144\ne43236,2022/10/13,weight lifting,149\ne43245,2022/10/14,HIIT,150\ne43255,2022/10/15,swimming,163\ne43265,2022/10/16,running,137\ne43274,2022/10/17,weight lifting,165\ne43281,2022/10/18,swimming,131\ne43290,2022/10/19,hiking,141\ne43298,2022/10/20,HIIT,119\ne43306,2022/10/21,hiking,148\ne43315,2022/10/22,weight lifting,160\ne43324,2022/10/23,running,135\ne43331,2022/10/24,HIIT,147\ne43340,2022/10/25,swimming,121\ne43348,2022/10/26,HIIT,162\ne43357,2022/10/27,weight lifting,110\ne43365,2022/10/28,swimming,153\ne43373,2022/10/29,biking,158\ne43382,2022/10/30,HIIT,136\ne43391,2022/10/31,weight lifting,154\ne43400,2022/11/01,swimming,151\ne43408,2022/11/02,running,138\ne43417,2022/11/03,weight lifting,126\ne43426,2022/11/04,swimming,133\ne43435,2022/11/05,HIIT,131\ne43444,2022/11/06,running,155\ne43454,2022/11/07,swimming,140\ne43463,2022/11/08,HIIT,165\ne43473,2022/11/09,hiking,107\ne43482,2022/11/10,biking,128\ne43492,2022/11/11,running,117\ne43502,2022/11/12,running,121\ne43520,2022/11/14,hiking,109\ne43529,2022/11/15,weight lifting,139\ne43539,2022/11/16,weight lifting,165\ne43547,2022/11/17,weight lifting,128\ne43555,2022/11/18,HIIT,145\ne43564,2022/11/19,running,145\ne43574,2022/11/20,weight lifting,165\ne43583,2022/11/21,HIIT,154\ne43591,2022/11/22,weight lifting,113\ne43600,2022/11/23,running,126\ne43609,2022/11/24,swimming,149\ne43618,2022/11/25,swimming,114\ne43627,2022/11/26,swimming,109\ne43643,2022/11/28,hiking,163\ne43659,2022/11/30,HIIT,126\ne43667,2022/12/01,HIIT,112\ne43674,2022/12/02,running,114\ne43683,2022/12/03,running,146\ne43692,2022/12/04,running,131\ne43700,2022/12/05,swimming,162\ne43709,2022/12/06,weight lifting,149\ne43717,2022/12/07,biking,142\ne43733,2022/12/09,HIIT,126\ne43750,2022/12/11,weight lifting,148\ne43758,2022/12/12,weight lifting,136\ne43774,2022/12/14,weight lifting,140\ne43782,2022/12/15,swimming,114\ne43791,2022/12/16,swimming,158\ne43801,2022/12/17,biking,151\ne43809,2022/12/18,HIIT,150\ne43819,2022/12/19,hiking,111\ne43828,2022/12/20,biking,156\ne43838,2022/12/21,biking,148\ne43846,2022/12/22,hiking,148\ne43854,2022/12/23,running,162\ne43862,2022/12/24,HIIT,141\ne43871,2022/12/25,hiking,143\ne43880,2022/12/26,HIIT,122\ne43889,2022/12/27,biking,149\ne43906,2022/12/29,running,156\ne43915,2022/12/30,weight lifting,141\ne43925,2022/12/31,weight lifting,136\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/daily_meal-log.csv",
    "content": "eid,date,mealtype,foodtype,people_string\ne204,2010/01/01,breakfast,oatmeal,\"Claire, Nora, Kinsley, Piper, Piper, Eva, Lydia, Olivia, Avery\"\ne205,2010/01/01,lunch,sushi,\"Jackson, Benjamin, Avery\"\ne206,2010/01/01,dinner,chinese food,\ne212,2010/01/02,breakfast,cereals,\ne213,2010/01/02,lunch,sushi,\ne214,2010/01/02,dinner,steak,\ne221,2010/01/03,breakfast,oatmeal,\"Hazel, Piper, Kinsley, Piper, Olivia, Rylee, Lydia, Layla, Claire\"\ne222,2010/01/03,lunch,indian food,\ne223,2010/01/03,dinner,a burger,Carter\ne230,2010/01/04,breakfast,\"eggs, sausages, and bread\",\ne231,2010/01/04,lunch,pasta,\ne232,2010/01/04,dinner,steak,\"Carter, Emily\"\ne240,2010/01/05,breakfast,toast and cheese,\ne241,2010/01/05,lunch,fish and chips,\ne242,2010/01/05,dinner,pasta,\ne248,2010/01/06,breakfast,toast and cheese,\ne249,2010/01/06,lunch,indian food,\"Carter, Emily, Kayden, Andrew\"\ne250,2010/01/06,dinner,pasta,\ne254,2010/01/07,breakfast,\"eggs, sausages, and bread\",\ne255,2010/01/07,lunch,steak,\ne256,2010/01/07,dinner,a burger,\ne262,2010/01/08,breakfast,pancakes,\ne263,2010/01/08,lunch,tacos,\"Olivia, Eva, Hazel, Lydia, Nevaeh, Piper, Nora, Rylee, Claire, Avery, Layla\"\ne264,2010/01/08,dinner,sandwich,\ne271,2010/01/09,breakfast,oatmeal,\ne272,2010/01/09,lunch,sandwich,\"Benjamin, Avery, Jackson\"\ne273,2010/01/09,dinner,sandwich,Andrew\ne280,2010/01/10,breakfast,cereals,\ne281,2010/01/10,lunch,fish and chips,\ne282,2010/01/10,dinner,fish and chips,\"Emily, Kayden, Carter, Andrew\"\ne289,2010/01/11,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew\"\ne290,2010/01/11,lunch,steak,\ne291,2010/01/11,dinner,chinese food,\ne298,2010/01/12,breakfast,pancakes,\ne299,2010/01/12,lunch,indian food,\ne300,2010/01/12,dinner,tacos,\"Eva, Kinsley, Nora, Claire, Layla, Lydia, Hazel\"\ne306,2010/01/13,breakfast,oatmeal,\ne307,2010/01/13,lunch,steak,\ne308,2010/01/13,dinner,indian food,\ne313,2010/01/14,breakfast,pancakes,\"Jackson, Willow, Benjamin\"\ne314,2010/01/14,lunch,pasta,\"Carter, Kayden, Andrew, Emily\"\ne315,2010/01/14,dinner,chinese food,\ne322,2010/01/15,breakfast,oatmeal,\ne323,2010/01/15,lunch,steak,\ne324,2010/01/15,dinner,a burger,\"Nora, Nevaeh, Kinsley, Claire, Eva, Hazel, Piper\"\ne330,2010/01/16,breakfast,cereals,\"Piper, Kinsley, Hazel, Piper, Eva, Olivia, Claire, Layla, Avery, Lydia, Rylee, Nora\"\ne331,2010/01/16,lunch,steak,\ne332,2010/01/16,dinner,pasta,\ne339,2010/01/17,breakfast,cereals,\"Carter, Emily, Andrew\"\ne340,2010/01/17,lunch,fish and chips,\"Olivia, Eva, Claire, Avery, Rylee, Hazel, Kinsley\"\ne341,2010/01/17,dinner,a burger,\"Avery, Piper, Nora, Kinsley, Nevaeh, Olivia, Layla, Lydia, Rylee\"\ne347,2010/01/18,breakfast,\"eggs, sausages, and bread\",\"Jackson, Benjamin, Willow, Avery\"\ne348,2010/01/18,lunch,steak,\ne349,2010/01/18,dinner,sushi,\ne356,2010/01/19,breakfast,oatmeal,\"Emily, Kayden\"\ne357,2010/01/19,lunch,indian food,\"Lydia, Nevaeh, Claire, Layla, Avery, Hazel, Olivia, Eva, Rylee\"\ne358,2010/01/19,dinner,sandwich,Andrew\ne364,2010/01/20,breakfast,peanut-butter-jam,\ne365,2010/01/20,lunch,indian food,\ne366,2010/01/20,dinner,steak,\"Carter, Kayden\"\ne372,2010/01/21,breakfast,toast and cheese,\ne373,2010/01/21,lunch,chinese food,\ne374,2010/01/21,dinner,fish and chips,\"Carter, Kayden, Emily\"\ne381,2010/01/22,breakfast,cereals,\"Eva, Hazel, Layla, Olivia, Nevaeh, Piper, Rylee, Piper, Avery\"\ne382,2010/01/22,lunch,pasta,Kayden\ne383,2010/01/22,dinner,fish and chips,\"Andrew, Carter, Emily, Kayden\"\ne389,2010/01/23,breakfast,oatmeal,\"Carter, Andrew\"\ne390,2010/01/23,lunch,indian food,\ne391,2010/01/23,dinner,a burger,\"Carter, Emily\"\ne398,2010/01/24,breakfast,peanut-butter-jam,\ne399,2010/01/24,lunch,sandwich,\"Carter, Kayden\"\ne400,2010/01/24,dinner,pasta,\ne406,2010/01/25,breakfast,cereals,\"Carter, Emily, Andrew, Kayden\"\ne407,2010/01/25,lunch,fish and chips,\ne408,2010/01/25,dinner,indian food,\ne415,2010/01/26,breakfast,peanut-butter-jam,\ne416,2010/01/26,lunch,steak,\"Avery, Kinsley, Layla, Hazel, Nevaeh, Eva, Claire, Lydia, Piper, Rylee, Nora, Piper\"\ne417,2010/01/26,dinner,a burger,\ne422,2010/01/27,breakfast,oatmeal,\"Piper, Rylee, Avery, Kinsley\"\ne423,2010/01/27,lunch,sandwich,\ne424,2010/01/27,dinner,chinese food,\ne430,2010/01/28,breakfast,pancakes,\"Avery, Jackson\"\ne431,2010/01/28,lunch,pasta,\ne432,2010/01/28,dinner,fish and chips,\ne440,2010/01/29,breakfast,\"eggs, sausages, and bread\",\ne441,2010/01/29,lunch,a burger,\ne442,2010/01/29,dinner,sushi,\ne450,2010/01/30,breakfast,toast and cheese,\ne451,2010/01/30,lunch,steak,\"Avery, Rylee, Lydia, Piper, Claire, Eva, Hazel, Kinsley, Nevaeh, Layla, Nora, Olivia, Piper\"\ne452,2010/01/30,dinner,chinese food,\"Benjamin, Willow\"\ne459,2010/01/31,breakfast,pancakes,\ne460,2010/01/31,lunch,fish and chips,\ne461,2010/01/31,dinner,pasta,\"Avery, Rylee, Piper, Piper, Layla, Kinsley, Claire\"\ne467,2010/02/01,breakfast,\"eggs, sausages, and bread\",\"Willow, Benjamin\"\ne468,2010/02/01,lunch,chinese food,\"Willow, Benjamin, Avery\"\ne469,2010/02/01,dinner,steak,\"Carter, Kayden, Emily, Andrew\"\ne474,2010/02/02,breakfast,peanut-butter-jam,\"Jackson, Willow, Avery\"\ne475,2010/02/02,lunch,indian food,\"Benjamin, Jackson, Avery, Willow\"\ne476,2010/02/02,dinner,chinese food,\ne484,2010/02/03,breakfast,peanut-butter-jam,\"Emily, Andrew, Kayden, Carter\"\ne485,2010/02/03,lunch,a burger,\ne486,2010/02/03,dinner,indian food,\"Nora, Layla, Kinsley, Piper, Hazel, Rylee, Olivia, Avery, Nevaeh\"\ne493,2010/02/04,breakfast,pancakes,\"Kayden, Carter\"\ne494,2010/02/04,lunch,steak,\ne495,2010/02/04,dinner,indian food,Kayden\ne501,2010/02/05,breakfast,cereals,\"Benjamin, Jackson, Avery, Willow\"\ne502,2010/02/05,lunch,steak,\ne503,2010/02/05,dinner,tacos,\ne509,2010/02/06,breakfast,\"eggs, sausages, and bread\",\ne510,2010/02/06,lunch,tacos,\ne511,2010/02/06,dinner,fish and chips,\"Olivia, Claire, Piper, Layla, Kinsley\"\ne517,2010/02/07,breakfast,toast and cheese,\ne518,2010/02/07,lunch,pasta,\ne519,2010/02/07,dinner,chinese food,\ne525,2010/02/08,breakfast,peanut-butter-jam,\ne526,2010/02/08,lunch,chinese food,Carter\ne527,2010/02/08,dinner,steak,\ne533,2010/02/09,breakfast,oatmeal,\"Andrew, Kayden, Carter, Emily\"\ne534,2010/02/09,lunch,sandwich,\ne535,2010/02/09,dinner,sushi,\ne541,2010/02/10,breakfast,pancakes,\ne542,2010/02/10,lunch,steak,Willow\ne543,2010/02/10,dinner,pasta,\ne548,2010/02/11,breakfast,\"eggs, sausages, and bread\",\"Avery, Jackson, Willow, Benjamin\"\ne549,2010/02/11,lunch,indian food,\"Avery, Benjamin, Willow\"\ne550,2010/02/11,dinner,fish and chips,\"Eva, Piper, Layla, Claire, Olivia, Kinsley, Piper, Nevaeh, Nora, Hazel, Rylee, Lydia, Avery\"\ne556,2010/02/12,breakfast,pancakes,\ne557,2010/02/12,lunch,sushi,\ne558,2010/02/12,dinner,chinese food,\"Nevaeh, Olivia, Claire, Piper, Rylee, Hazel, Nora, Kinsley\"\ne563,2010/02/13,breakfast,oatmeal,\"Carter, Kayden\"\ne564,2010/02/13,lunch,sandwich,\ne565,2010/02/13,dinner,fish and chips,\ne571,2010/02/14,breakfast,toast and cheese,\ne572,2010/02/14,lunch,steak,\ne573,2010/02/14,dinner,tacos,\ne579,2010/02/15,breakfast,\"eggs, sausages, and bread\",\"Nora, Nevaeh, Piper, Eva\"\ne580,2010/02/15,lunch,fish and chips,\ne581,2010/02/15,dinner,chinese food,\"Carter, Emily\"\ne587,2010/02/16,breakfast,pancakes,\"Emily, Andrew, Carter, Kayden\"\ne588,2010/02/16,lunch,pasta,\ne589,2010/02/16,dinner,fish and chips,\"Andrew, Carter\"\ne594,2010/02/17,breakfast,pancakes,\ne595,2010/02/17,lunch,chinese food,\ne596,2010/02/17,dinner,pasta,\"Willow, Benjamin, Jackson\"\ne602,2010/02/18,breakfast,oatmeal,\"Avery, Nevaeh, Hazel, Piper, Rylee, Piper, Kinsley, Claire, Layla, Eva\"\ne603,2010/02/18,lunch,chinese food,\ne604,2010/02/18,dinner,sandwich,\"Emily, Kayden, Andrew\"\ne611,2010/02/19,breakfast,\"eggs, sausages, and bread\",\ne612,2010/02/19,lunch,fish and chips,\ne613,2010/02/19,dinner,pasta,\"Kayden, Andrew\"\ne620,2010/02/20,breakfast,\"eggs, sausages, and bread\",\"Emily, Andrew, Carter\"\ne621,2010/02/20,lunch,indian food,\ne622,2010/02/20,dinner,a burger,\ne629,2010/02/21,breakfast,\"eggs, sausages, and bread\",\"Avery, Benjamin\"\ne630,2010/02/21,lunch,chinese food,\ne631,2010/02/21,dinner,tacos,\ne638,2010/02/22,breakfast,\"eggs, sausages, and bread\",\ne639,2010/02/22,lunch,tacos,\ne640,2010/02/22,dinner,sushi,\ne647,2010/02/23,breakfast,cereals,\ne648,2010/02/23,lunch,indian food,\ne649,2010/02/23,dinner,sushi,\"Carter, Emily\"\ne656,2010/02/24,breakfast,oatmeal,\ne657,2010/02/24,lunch,indian food,\"Kayden, Emily, Carter\"\ne658,2010/02/24,dinner,pasta,\ne666,2010/02/25,breakfast,peanut-butter-jam,Andrew\ne667,2010/02/25,lunch,indian food,\ne668,2010/02/25,dinner,pasta,\"Avery, Kinsley\"\ne674,2010/02/26,breakfast,toast and cheese,\"Kayden, Carter\"\ne675,2010/02/26,lunch,steak,\ne676,2010/02/26,dinner,tacos,\ne682,2010/02/27,breakfast,cereals,\"Kayden, Emily, Carter, Andrew\"\ne683,2010/02/27,lunch,tacos,\ne684,2010/02/27,dinner,a burger,\ne692,2010/02/28,breakfast,peanut-butter-jam,\ne693,2010/02/28,lunch,a burger,\"Carter, Kayden\"\ne694,2010/02/28,dinner,pasta,\ne701,2010/03/01,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden\"\ne702,2010/03/01,lunch,steak,\ne703,2010/03/01,dinner,tacos,\ne708,2010/03/02,breakfast,\"eggs, sausages, and bread\",\ne709,2010/03/02,lunch,steak,\"Benjamin, Jackson, Willow\"\ne710,2010/03/02,dinner,chinese food,\"Hazel, Eva, Lydia\"\ne716,2010/03/03,breakfast,peanut-butter-jam,\ne717,2010/03/03,lunch,tacos,\ne718,2010/03/03,dinner,tacos,\"Emily, Carter, Andrew\"\ne725,2010/03/04,breakfast,oatmeal,\"Andrew, Carter, Emily\"\ne726,2010/03/04,lunch,sandwich,\ne727,2010/03/04,dinner,a burger,\"Emily, Andrew, Carter\"\ne734,2010/03/05,breakfast,oatmeal,\ne735,2010/03/05,lunch,fish and chips,\ne736,2010/03/05,dinner,indian food,\ne743,2010/03/06,breakfast,peanut-butter-jam,\ne744,2010/03/06,lunch,a burger,\"Jackson, Avery, Willow, Benjamin\"\ne745,2010/03/06,dinner,pasta,\"Carter, Andrew, Emily\"\ne752,2010/03/07,breakfast,pancakes,Kayden\ne753,2010/03/07,lunch,chinese food,\ne754,2010/03/07,dinner,indian food,\ne761,2010/03/08,breakfast,toast and cheese,\ne762,2010/03/08,lunch,pasta,\ne763,2010/03/08,dinner,pasta,\"Emily, Andrew, Kayden, Carter\"\ne768,2010/03/09,breakfast,oatmeal,\"Piper, Lydia, Nevaeh, Hazel, Claire, Eva, Kinsley, Piper, Layla\"\ne769,2010/03/09,lunch,indian food,\ne770,2010/03/09,dinner,chinese food,\"Kayden, Carter\"\ne777,2010/03/10,breakfast,toast and cheese,\ne778,2010/03/10,lunch,fish and chips,\ne779,2010/03/10,dinner,sandwich,\"Nevaeh, Nora, Rylee, Hazel, Piper, Avery, Eva, Piper\"\ne787,2010/03/11,breakfast,peanut-butter-jam,Carter\ne788,2010/03/11,lunch,indian food,\ne789,2010/03/11,dinner,pasta,\"Lydia, Layla, Claire\"\ne795,2010/03/12,breakfast,oatmeal,\ne796,2010/03/12,lunch,indian food,\ne797,2010/03/12,dinner,pasta,\ne804,2010/03/13,breakfast,oatmeal,Olivia\ne805,2010/03/13,lunch,tacos,\ne806,2010/03/13,dinner,steak,\"Nevaeh, Lydia, Piper, Claire, Layla, Rylee\"\ne813,2010/03/14,breakfast,\"eggs, sausages, and bread\",\ne814,2010/03/14,lunch,a burger,\"Carter, Andrew, Kayden\"\ne815,2010/03/14,dinner,steak,\ne821,2010/03/15,breakfast,pancakes,\ne822,2010/03/15,lunch,tacos,Benjamin\ne823,2010/03/15,dinner,sushi,\"Jackson, Benjamin, Avery\"\ne828,2010/03/16,breakfast,oatmeal,\ne829,2010/03/16,lunch,indian food,\ne830,2010/03/16,dinner,indian food,\ne835,2010/03/17,breakfast,peanut-butter-jam,\"Nevaeh, Avery, Piper, Rylee, Nora, Kinsley\"\ne836,2010/03/17,lunch,steak,\ne837,2010/03/17,dinner,pasta,\"Benjamin, Avery, Willow, Jackson\"\ne844,2010/03/18,breakfast,\"eggs, sausages, and bread\",\ne845,2010/03/18,lunch,tacos,\ne846,2010/03/18,dinner,pasta,Avery\ne853,2010/03/19,breakfast,\"eggs, sausages, and bread\",Carter\ne854,2010/03/19,lunch,indian food,\ne855,2010/03/19,dinner,pasta,\"Layla, Claire, Kinsley, Piper, Lydia, Nora, Avery, Rylee, Nevaeh, Olivia, Piper, Hazel, Eva\"\ne861,2010/03/20,breakfast,peanut-butter-jam,\ne862,2010/03/20,lunch,fish and chips,\ne863,2010/03/20,dinner,sandwich,\ne870,2010/03/21,breakfast,oatmeal,\"Andrew, Emily, Kayden, Carter\"\ne871,2010/03/21,lunch,tacos,\"Kayden, Emily\"\ne872,2010/03/21,dinner,chinese food,\ne879,2010/03/22,breakfast,pancakes,\ne880,2010/03/22,lunch,pasta,\ne881,2010/03/22,dinner,pasta,\"Nevaeh, Olivia\"\ne887,2010/03/23,breakfast,oatmeal,\"Kinsley, Piper, Layla\"\ne888,2010/03/23,lunch,a burger,\ne889,2010/03/23,dinner,tacos,Kayden\ne897,2010/03/24,breakfast,pancakes,Kayden\ne898,2010/03/24,lunch,tacos,Rylee\ne899,2010/03/24,dinner,steak,\ne905,2010/03/25,breakfast,cereals,\ne906,2010/03/25,lunch,sandwich,Kayden\ne907,2010/03/25,dinner,steak,\ne913,2010/03/26,breakfast,pancakes,\ne914,2010/03/26,lunch,chinese food,Carter\ne915,2010/03/26,dinner,indian food,\"Kayden, Emily\"\ne922,2010/03/27,breakfast,pancakes,\ne923,2010/03/27,lunch,sushi,\ne924,2010/03/27,dinner,tacos,\ne931,2010/03/28,breakfast,toast and cheese,\ne932,2010/03/28,lunch,fish and chips,\ne933,2010/03/28,dinner,tacos,\ne941,2010/03/29,breakfast,toast and cheese,\"Andrew, Carter\"\ne942,2010/03/29,lunch,chinese food,\"Eva, Piper, Kinsley\"\ne943,2010/03/29,dinner,a burger,\"Emily, Andrew\"\ne949,2010/03/30,breakfast,toast and cheese,\ne950,2010/03/30,lunch,pasta,\ne951,2010/03/30,dinner,sandwich,\ne957,2010/03/31,breakfast,cereals,\ne958,2010/03/31,lunch,indian food,\ne959,2010/03/31,dinner,indian food,\ne966,2010/04/01,breakfast,peanut-butter-jam,\"Avery, Willow\"\ne967,2010/04/01,lunch,sushi,\"Carter, Kayden\"\ne968,2010/04/01,dinner,steak,\ne976,2010/04/02,breakfast,oatmeal,\ne977,2010/04/02,lunch,a burger,\ne978,2010/04/02,dinner,a burger,Benjamin\ne983,2010/04/03,breakfast,oatmeal,\ne984,2010/04/03,lunch,indian food,\ne985,2010/04/03,dinner,tacos,\ne992,2010/04/04,breakfast,pancakes,\"Andrew, Carter\"\ne993,2010/04/04,lunch,sandwich,\ne994,2010/04/04,dinner,sushi,\"Claire, Olivia, Rylee\"\ne1000,2010/04/05,breakfast,pancakes,\"Kayden, Emily, Carter\"\ne1001,2010/04/05,lunch,sushi,\ne1002,2010/04/05,dinner,a burger,\ne1010,2010/04/06,breakfast,peanut-butter-jam,\ne1011,2010/04/06,lunch,chinese food,\ne1012,2010/04/06,dinner,steak,\"Kayden, Emily, Carter\"\ne1019,2010/04/07,breakfast,cereals,Willow\ne1020,2010/04/07,lunch,steak,\"Emily, Carter, Andrew\"\ne1021,2010/04/07,dinner,tacos,Carter\ne1028,2010/04/08,breakfast,oatmeal,\ne1029,2010/04/08,lunch,sandwich,\ne1030,2010/04/08,dinner,fish and chips,\ne1037,2010/04/09,breakfast,pancakes,\ne1038,2010/04/09,lunch,pasta,\ne1039,2010/04/09,dinner,fish and chips,\"Piper, Nevaeh, Eva, Rylee, Kinsley, Hazel, Piper, Layla, Avery, Nora\"\ne1046,2010/04/10,breakfast,pancakes,\"Emily, Kayden, Andrew\"\ne1047,2010/04/10,lunch,a burger,\ne1048,2010/04/10,dinner,a burger,\"Rylee, Piper, Nora, Olivia, Kinsley, Eva, Lydia, Nevaeh, Hazel, Piper, Claire, Avery, Layla\"\ne1054,2010/04/11,breakfast,pancakes,\ne1055,2010/04/11,lunch,sushi,\"Avery, Claire, Nevaeh, Lydia\"\ne1056,2010/04/11,dinner,pasta,\ne1062,2010/04/12,breakfast,toast and cheese,\ne1063,2010/04/12,lunch,sandwich,\ne1064,2010/04/12,dinner,a burger,\"Nora, Claire, Rylee, Kinsley\"\ne1071,2010/04/13,breakfast,\"eggs, sausages, and bread\",\"Avery, Jackson, Willow, Benjamin\"\ne1072,2010/04/13,lunch,a burger,\ne1073,2010/04/13,dinner,tacos,Benjamin\ne1080,2010/04/14,breakfast,peanut-butter-jam,\ne1081,2010/04/14,lunch,tacos,\ne1082,2010/04/14,dinner,tacos,\"Piper, Nora, Claire, Nevaeh\"\ne1088,2010/04/15,breakfast,toast and cheese,\ne1089,2010/04/15,lunch,a burger,Avery\ne1090,2010/04/15,dinner,sandwich,Carter\ne1095,2010/04/16,breakfast,peanut-butter-jam,\ne1096,2010/04/16,lunch,a burger,\"Emily, Andrew\"\ne1097,2010/04/16,dinner,chinese food,\ne1102,2010/04/17,breakfast,oatmeal,\"Andrew, Emily, Carter, Kayden\"\ne1103,2010/04/17,lunch,steak,\"Lydia, Nora, Nevaeh, Claire, Piper, Hazel\"\ne1104,2010/04/17,dinner,indian food,\ne1112,2010/04/18,breakfast,cereals,\"Avery, Jackson\"\ne1113,2010/04/18,lunch,a burger,\ne1114,2010/04/18,dinner,chinese food,\ne1122,2010/04/19,breakfast,cereals,\ne1123,2010/04/19,lunch,tacos,\ne1124,2010/04/19,dinner,chinese food,\ne1131,2010/04/20,breakfast,\"eggs, sausages, and bread\",Carter\ne1132,2010/04/20,lunch,a burger,\"Olivia, Rylee, Piper, Kinsley, Claire, Hazel, Avery, Nora, Layla\"\ne1133,2010/04/20,dinner,sushi,Carter\ne1138,2010/04/21,breakfast,\"eggs, sausages, and bread\",Kayden\ne1139,2010/04/21,lunch,pasta,\ne1140,2010/04/21,dinner,steak,\"Nevaeh, Kinsley, Nora, Piper, Avery, Layla, Eva, Hazel, Olivia, Claire, Piper\"\ne1146,2010/04/22,breakfast,pancakes,\"Andrew, Emily\"\ne1147,2010/04/22,lunch,steak,\ne1148,2010/04/22,dinner,indian food,\ne1155,2010/04/23,breakfast,cereals,\ne1156,2010/04/23,lunch,sandwich,\ne1157,2010/04/23,dinner,chinese food,\ne1164,2010/04/24,breakfast,pancakes,\ne1165,2010/04/24,lunch,pasta,\"Carter, Emily, Kayden\"\ne1166,2010/04/24,dinner,tacos,\"Rylee, Layla, Piper, Eva, Claire, Olivia, Kinsley, Nevaeh, Lydia\"\ne1173,2010/04/25,breakfast,toast and cheese,\"Willow, Avery, Benjamin, Jackson\"\ne1174,2010/04/25,lunch,steak,\ne1175,2010/04/25,dinner,indian food,\"Emily, Andrew, Carter\"\ne1181,2010/04/26,breakfast,\"eggs, sausages, and bread\",\"Piper, Hazel, Avery\"\ne1182,2010/04/26,lunch,tacos,\ne1183,2010/04/26,dinner,fish and chips,\"Willow, Benjamin\"\ne1189,2010/04/27,breakfast,pancakes,\ne1190,2010/04/27,lunch,indian food,\"Kayden, Carter\"\ne1191,2010/04/27,dinner,chinese food,\ne1198,2010/04/28,breakfast,peanut-butter-jam,\ne1199,2010/04/28,lunch,sandwich,\ne1200,2010/04/28,dinner,sandwich,\ne1207,2010/04/29,breakfast,cereals,\ne1208,2010/04/29,lunch,steak,\"Piper, Kinsley, Nevaeh, Eva, Hazel, Olivia, Avery, Lydia\"\ne1209,2010/04/29,dinner,a burger,\ne1215,2010/04/30,breakfast,pancakes,\ne1216,2010/04/30,lunch,tacos,\ne1217,2010/04/30,dinner,sandwich,\ne1224,2010/05/01,breakfast,pancakes,\ne1225,2010/05/01,lunch,fish and chips,\ne1226,2010/05/01,dinner,steak,\"Lydia, Nevaeh, Eva\"\ne1232,2010/05/02,breakfast,\"eggs, sausages, and bread\",\ne1233,2010/05/02,lunch,sandwich,\"Piper, Lydia, Hazel, Claire, Kinsley, Nevaeh\"\ne1234,2010/05/02,dinner,tacos,\ne1241,2010/05/03,breakfast,oatmeal,\"Emily, Carter, Kayden\"\ne1242,2010/05/03,lunch,chinese food,\ne1243,2010/05/03,dinner,indian food,\"Kayden, Emily, Carter\"\ne1248,2010/05/04,breakfast,cereals,\ne1249,2010/05/04,lunch,sushi,\ne1250,2010/05/04,dinner,pasta,\ne1256,2010/05/05,breakfast,peanut-butter-jam,\"Kinsley, Lydia, Rylee, Piper, Nevaeh, Nora, Piper, Hazel, Layla, Olivia, Avery\"\ne1257,2010/05/05,lunch,chinese food,\ne1258,2010/05/05,dinner,a burger,\"Layla, Nevaeh, Avery, Lydia, Hazel, Claire, Rylee, Olivia, Piper, Eva, Piper, Nora\"\ne1264,2010/05/06,breakfast,cereals,\"Lydia, Layla, Olivia, Claire, Nora, Eva, Piper, Piper, Kinsley, Nevaeh, Hazel, Avery, Rylee\"\ne1265,2010/05/06,lunch,chinese food,\ne1266,2010/05/06,dinner,sandwich,\"Emily, Carter\"\ne1274,2010/05/07,breakfast,peanut-butter-jam,\ne1275,2010/05/07,lunch,chinese food,\"Nora, Kinsley, Nevaeh, Olivia, Rylee, Avery\"\ne1276,2010/05/07,dinner,fish and chips,\ne1282,2010/05/08,breakfast,oatmeal,\ne1283,2010/05/08,lunch,sushi,\ne1284,2010/05/08,dinner,sushi,\ne1290,2010/05/09,breakfast,\"eggs, sausages, and bread\",\ne1291,2010/05/09,lunch,tacos,\"Kayden, Emily, Andrew\"\ne1292,2010/05/09,dinner,sandwich,\ne1299,2010/05/10,breakfast,toast and cheese,\ne1300,2010/05/10,lunch,indian food,\ne1301,2010/05/10,dinner,sandwich,\ne1309,2010/05/11,breakfast,oatmeal,\"Emily, Kayden, Andrew, Carter\"\ne1310,2010/05/11,lunch,indian food,\ne1311,2010/05/11,dinner,steak,\ne1318,2010/05/12,breakfast,peanut-butter-jam,\ne1319,2010/05/12,lunch,tacos,\ne1320,2010/05/12,dinner,steak,\ne1326,2010/05/13,breakfast,toast and cheese,\ne1327,2010/05/13,lunch,tacos,\ne1328,2010/05/13,dinner,steak,\ne1333,2010/05/14,breakfast,peanut-butter-jam,\ne1334,2010/05/14,lunch,fish and chips,\ne1335,2010/05/14,dinner,indian food,\ne1343,2010/05/15,breakfast,cereals,\ne1344,2010/05/15,lunch,sandwich,Kayden\ne1345,2010/05/15,dinner,chinese food,\"Emily, Andrew, Kayden\"\ne1353,2010/05/16,breakfast,oatmeal,\ne1354,2010/05/16,lunch,sushi,\"Piper, Avery, Lydia, Claire, Kinsley, Hazel\"\ne1355,2010/05/16,dinner,indian food,\"Willow, Jackson\"\ne1363,2010/05/17,breakfast,\"eggs, sausages, and bread\",\"Nevaeh, Olivia, Eva, Piper, Layla, Claire, Avery, Nora\"\ne1364,2010/05/17,lunch,tacos,\ne1365,2010/05/17,dinner,chinese food,\ne1372,2010/05/18,breakfast,oatmeal,\ne1373,2010/05/18,lunch,a burger,\ne1374,2010/05/18,dinner,tacos,\ne1381,2010/05/19,breakfast,cereals,\"Kayden, Carter, Andrew\"\ne1382,2010/05/19,lunch,sandwich,\"Kayden, Carter, Andrew, Emily\"\ne1383,2010/05/19,dinner,fish and chips,\ne1389,2010/05/20,breakfast,oatmeal,\"Piper, Claire, Lydia, Layla, Piper, Nora, Nevaeh, Eva, Rylee, Olivia, Kinsley, Hazel\"\ne1390,2010/05/20,lunch,tacos,\"Andrew, Kayden\"\ne1391,2010/05/20,dinner,a burger,\"Kayden, Andrew, Emily\"\ne1398,2010/05/21,breakfast,\"eggs, sausages, and bread\",\ne1399,2010/05/21,lunch,sandwich,\"Hazel, Eva, Layla, Rylee, Nevaeh, Avery, Claire, Kinsley, Lydia\"\ne1400,2010/05/21,dinner,chinese food,\ne1407,2010/05/22,breakfast,cereals,\ne1408,2010/05/22,lunch,indian food,Willow\ne1409,2010/05/22,dinner,sandwich,\ne1417,2010/05/23,breakfast,oatmeal,\ne1418,2010/05/23,lunch,tacos,\ne1419,2010/05/23,dinner,sandwich,\ne1425,2010/05/24,breakfast,\"eggs, sausages, and bread\",\ne1426,2010/05/24,lunch,fish and chips,Kayden\ne1427,2010/05/24,dinner,indian food,\"Andrew, Emily, Kayden, Carter\"\ne1433,2010/05/25,breakfast,\"eggs, sausages, and bread\",\ne1434,2010/05/25,lunch,chinese food,\ne1435,2010/05/25,dinner,chinese food,\"Kayden, Andrew, Carter, Emily\"\ne1442,2010/05/26,breakfast,pancakes,\ne1443,2010/05/26,lunch,indian food,\ne1444,2010/05/26,dinner,chinese food,\ne1451,2010/05/27,breakfast,\"eggs, sausages, and bread\",\ne1452,2010/05/27,lunch,tacos,\"Emily, Andrew, Carter, Kayden\"\ne1453,2010/05/27,dinner,fish and chips,\"Kayden, Andrew, Carter, Emily\"\ne1459,2010/05/28,breakfast,cereals,\"Kayden, Andrew, Emily, Carter\"\ne1460,2010/05/28,lunch,steak,\ne1461,2010/05/28,dinner,sandwich,\ne1469,2010/05/29,breakfast,oatmeal,Carter\ne1470,2010/05/29,lunch,chinese food,\ne1471,2010/05/29,dinner,steak,\ne1478,2010/05/30,breakfast,pancakes,\"Carter, Emily, Kayden, Andrew\"\ne1479,2010/05/30,lunch,indian food,\ne1480,2010/05/30,dinner,steak,\"Carter, Andrew, Emily\"\ne1487,2010/05/31,breakfast,peanut-butter-jam,\ne1488,2010/05/31,lunch,a burger,\"Willow, Benjamin, Avery, Jackson\"\ne1489,2010/05/31,dinner,indian food,Andrew\ne1495,2010/06/01,breakfast,peanut-butter-jam,\ne1496,2010/06/01,lunch,sandwich,\ne1497,2010/06/01,dinner,tacos,\"Benjamin, Jackson\"\ne1504,2010/06/02,breakfast,\"eggs, sausages, and bread\",\ne1505,2010/06/02,lunch,tacos,\ne1506,2010/06/02,dinner,tacos,\ne1514,2010/06/03,breakfast,oatmeal,\"Carter, Emily, Kayden, Andrew\"\ne1515,2010/06/03,lunch,sandwich,Andrew\ne1516,2010/06/03,dinner,indian food,\"Emily, Carter, Andrew, Kayden\"\ne1524,2010/06/04,breakfast,peanut-butter-jam,\ne1525,2010/06/04,lunch,indian food,\ne1526,2010/06/04,dinner,steak,\ne1534,2010/06/05,breakfast,\"eggs, sausages, and bread\",\"Jackson, Benjamin, Willow\"\ne1535,2010/06/05,lunch,tacos,\"Jackson, Avery\"\ne1536,2010/06/05,dinner,a burger,\ne1544,2010/06/06,breakfast,peanut-butter-jam,\"Carter, Andrew, Kayden\"\ne1545,2010/06/06,lunch,pasta,\"Olivia, Hazel, Eva, Nevaeh, Lydia, Nora, Layla\"\ne1546,2010/06/06,dinner,sushi,\"Kinsley, Olivia, Nora, Avery, Piper, Claire, Nevaeh, Piper, Lydia, Rylee, Eva\"\ne1552,2010/06/07,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily\"\ne1553,2010/06/07,lunch,a burger,\ne1554,2010/06/07,dinner,tacos,Kayden\ne1560,2010/06/08,breakfast,peanut-butter-jam,\ne1561,2010/06/08,lunch,a burger,\ne1562,2010/06/08,dinner,chinese food,\ne1568,2010/06/09,breakfast,cereals,\ne1569,2010/06/09,lunch,fish and chips,\ne1570,2010/06/09,dinner,sushi,\"Piper, Eva, Nevaeh, Layla\"\ne1576,2010/06/10,breakfast,oatmeal,\ne1577,2010/06/10,lunch,tacos,\ne1578,2010/06/10,dinner,indian food,\"Emily, Andrew, Carter, Kayden\"\ne1585,2010/06/11,breakfast,cereals,\ne1586,2010/06/11,lunch,chinese food,\ne1587,2010/06/11,dinner,sandwich,\"Olivia, Rylee\"\ne1594,2010/06/12,breakfast,pancakes,\ne1595,2010/06/12,lunch,indian food,\ne1596,2010/06/12,dinner,chinese food,\"Andrew, Emily, Carter, Kayden\"\ne1603,2010/06/13,breakfast,oatmeal,\"Piper, Kinsley, Lydia, Layla, Claire, Nora\"\ne1604,2010/06/13,lunch,indian food,\ne1605,2010/06/13,dinner,pasta,\"Emily, Kayden\"\ne1611,2010/06/14,breakfast,cereals,\ne1612,2010/06/14,lunch,sushi,\"Emily, Carter\"\ne1613,2010/06/14,dinner,indian food,\ne1619,2010/06/15,breakfast,pancakes,\ne1620,2010/06/15,lunch,sandwich,\"Olivia, Avery, Kinsley, Claire, Piper, Nevaeh, Eva, Piper, Hazel, Rylee, Layla\"\ne1621,2010/06/15,dinner,sandwich,\"Rylee, Layla, Nevaeh, Eva, Claire, Olivia, Kinsley, Avery, Hazel\"\ne1627,2010/06/16,breakfast,peanut-butter-jam,\ne1628,2010/06/16,lunch,fish and chips,\ne1629,2010/06/16,dinner,sandwich,\ne1636,2010/06/17,breakfast,toast and cheese,\ne1637,2010/06/17,lunch,sushi,\ne1638,2010/06/17,dinner,sandwich,\ne1644,2010/06/18,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew\"\ne1645,2010/06/18,lunch,tacos,\ne1646,2010/06/18,dinner,a burger,\ne1652,2010/06/19,breakfast,pancakes,\ne1653,2010/06/19,lunch,indian food,\"Eva, Hazel, Olivia, Nevaeh, Lydia\"\ne1654,2010/06/19,dinner,steak,\"Layla, Lydia, Eva, Piper, Kinsley, Rylee, Nora\"\ne1662,2010/06/20,breakfast,toast and cheese,\ne1663,2010/06/20,lunch,tacos,\"Emily, Andrew, Kayden, Carter\"\ne1664,2010/06/20,dinner,chinese food,\ne1670,2010/06/21,breakfast,cereals,\ne1671,2010/06/21,lunch,steak,\"Andrew, Kayden, Carter, Emily\"\ne1672,2010/06/21,dinner,sandwich,\ne1679,2010/06/22,breakfast,toast and cheese,\ne1680,2010/06/22,lunch,sandwich,\"Avery, Willow, Benjamin, Jackson\"\ne1681,2010/06/22,dinner,steak,\"Emily, Kayden\"\ne1687,2010/06/23,breakfast,peanut-butter-jam,\"Benjamin, Willow, Jackson\"\ne1688,2010/06/23,lunch,sushi,\ne1689,2010/06/23,dinner,indian food,\ne1696,2010/06/24,breakfast,toast and cheese,\ne1697,2010/06/24,lunch,pasta,\ne1698,2010/06/24,dinner,sushi,\ne1706,2010/06/25,breakfast,cereals,\"Benjamin, Jackson\"\ne1707,2010/06/25,lunch,steak,\ne1708,2010/06/25,dinner,sushi,\"Layla, Nora, Hazel, Avery, Eva, Claire, Piper, Nevaeh\"\ne1716,2010/06/26,breakfast,peanut-butter-jam,\ne1717,2010/06/26,lunch,steak,\"Emily, Andrew, Carter\"\ne1718,2010/06/26,dinner,a burger,\ne1725,2010/06/27,breakfast,cereals,\ne1726,2010/06/27,lunch,chinese food,\ne1727,2010/06/27,dinner,indian food,\ne1735,2010/06/28,breakfast,oatmeal,\ne1736,2010/06/28,lunch,a burger,\ne1737,2010/06/28,dinner,steak,\"Kayden, Andrew\"\ne1745,2010/06/29,breakfast,pancakes,\"Nevaeh, Rylee, Olivia\"\ne1746,2010/06/29,lunch,pasta,\"Andrew, Kayden\"\ne1747,2010/06/29,dinner,sandwich,\ne1755,2010/06/30,breakfast,cereals,\ne1756,2010/06/30,lunch,chinese food,\ne1757,2010/06/30,dinner,sandwich,\ne1763,2010/07/01,breakfast,oatmeal,\ne1764,2010/07/01,lunch,sandwich,\"Jackson, Willow\"\ne1765,2010/07/01,dinner,tacos,\ne1769,2010/07/02,breakfast,peanut-butter-jam,\ne1770,2010/07/02,lunch,sandwich,\"Lydia, Piper, Eva, Kinsley, Avery, Olivia, Nora, Rylee, Hazel\"\ne1771,2010/07/02,dinner,sandwich,\"Olivia, Piper, Eva\"\ne1778,2010/07/03,breakfast,oatmeal,\ne1779,2010/07/03,lunch,pasta,Kayden\ne1780,2010/07/03,dinner,chinese food,\ne1787,2010/07/04,breakfast,cereals,\"Emily, Kayden, Andrew, Carter\"\ne1788,2010/07/04,lunch,fish and chips,\ne1789,2010/07/04,dinner,fish and chips,\"Carter, Andrew, Emily, Kayden\"\ne1794,2010/07/05,breakfast,cereals,\ne1795,2010/07/05,lunch,fish and chips,\ne1796,2010/07/05,dinner,sushi,\"Rylee, Kinsley, Olivia, Piper, Hazel, Nora, Piper, Lydia, Nevaeh, Eva, Avery\"\ne1802,2010/07/06,breakfast,oatmeal,\"Andrew, Kayden\"\ne1803,2010/07/06,lunch,tacos,\ne1804,2010/07/06,dinner,sandwich,\ne1811,2010/07/07,breakfast,toast and cheese,\ne1812,2010/07/07,lunch,pasta,Kayden\ne1813,2010/07/07,dinner,sandwich,\"Layla, Piper, Claire, Olivia, Kinsley, Rylee, Hazel, Lydia, Eva, Nora, Avery\"\ne1821,2010/07/08,breakfast,pancakes,\ne1822,2010/07/08,lunch,a burger,\"Lydia, Rylee, Avery, Piper, Claire, Olivia, Nora, Nevaeh, Eva\"\ne1823,2010/07/08,dinner,chinese food,\ne1829,2010/07/09,breakfast,\"eggs, sausages, and bread\",\ne1830,2010/07/09,lunch,a burger,\ne1831,2010/07/09,dinner,pasta,\"Lydia, Rylee, Nora, Hazel, Piper, Eva, Kinsley, Layla, Olivia, Nevaeh, Piper\"\ne1838,2010/07/10,breakfast,oatmeal,\ne1839,2010/07/10,lunch,a burger,\"Emily, Andrew, Kayden, Carter\"\ne1840,2010/07/10,dinner,pasta,\ne1846,2010/07/11,breakfast,cereals,\"Emily, Kayden\"\ne1847,2010/07/11,lunch,pasta,\ne1848,2010/07/11,dinner,fish and chips,\"Carter, Emily, Kayden\"\ne1856,2010/07/12,breakfast,\"eggs, sausages, and bread\",\ne1857,2010/07/12,lunch,pasta,Emily\ne1858,2010/07/12,dinner,fish and chips,\ne1865,2010/07/13,breakfast,toast and cheese,\ne1866,2010/07/13,lunch,sandwich,\ne1867,2010/07/13,dinner,fish and chips,\ne1875,2010/07/14,breakfast,pancakes,\ne1876,2010/07/14,lunch,fish and chips,\ne1877,2010/07/14,dinner,sushi,\ne1884,2010/07/15,breakfast,toast and cheese,\"Andrew, Emily, Kayden, Carter\"\ne1885,2010/07/15,lunch,sandwich,\"Benjamin, Willow, Jackson, Avery\"\ne1886,2010/07/15,dinner,fish and chips,\"Emily, Carter, Andrew, Kayden\"\ne1894,2010/07/16,breakfast,\"eggs, sausages, and bread\",\"Lydia, Piper, Olivia, Rylee, Avery, Nevaeh, Hazel, Layla, Kinsley, Nora, Claire, Eva\"\ne1895,2010/07/16,lunch,chinese food,\ne1896,2010/07/16,dinner,indian food,\"Rylee, Layla, Nora, Lydia, Eva, Piper, Avery, Kinsley, Olivia, Piper, Hazel, Claire, Nevaeh\"\ne1903,2010/07/17,breakfast,cereals,\ne1904,2010/07/17,lunch,pasta,\ne1905,2010/07/17,dinner,steak,\ne1912,2010/07/18,breakfast,peanut-butter-jam,\"Nora, Olivia, Avery, Piper, Claire, Hazel, Rylee, Layla, Eva, Kinsley, Piper, Lydia, Nevaeh\"\ne1913,2010/07/18,lunch,sandwich,\ne1914,2010/07/18,dinner,sandwich,\ne1921,2010/07/19,breakfast,pancakes,\ne1922,2010/07/19,lunch,chinese food,\"Emily, Kayden\"\ne1923,2010/07/19,dinner,fish and chips,\ne1929,2010/07/20,breakfast,toast and cheese,\"Lydia, Nora, Claire, Kinsley, Avery, Eva, Piper, Hazel, Piper\"\ne1930,2010/07/20,lunch,steak,\"Kayden, Carter, Andrew\"\ne1931,2010/07/20,dinner,steak,\ne1938,2010/07/21,breakfast,peanut-butter-jam,\"Jackson, Benjamin, Willow, Avery\"\ne1939,2010/07/21,lunch,chinese food,\ne1940,2010/07/21,dinner,steak,Avery\ne1946,2010/07/22,breakfast,pancakes,\ne1947,2010/07/22,lunch,steak,\ne1948,2010/07/22,dinner,a burger,\"Andrew, Kayden, Carter\"\ne1956,2010/07/23,breakfast,pancakes,\ne1957,2010/07/23,lunch,sandwich,\ne1958,2010/07/23,dinner,tacos,\ne1965,2010/07/24,breakfast,\"eggs, sausages, and bread\",\ne1966,2010/07/24,lunch,a burger,\"Nora, Kinsley, Piper, Hazel, Nevaeh, Eva\"\ne1967,2010/07/24,dinner,sushi,\ne1974,2010/07/25,breakfast,peanut-butter-jam,\ne1975,2010/07/25,lunch,sushi,\"Andrew, Carter, Emily\"\ne1976,2010/07/25,dinner,fish and chips,\ne1983,2010/07/26,breakfast,cereals,Kayden\ne1984,2010/07/26,lunch,sushi,\ne1985,2010/07/26,dinner,steak,\ne1992,2010/07/27,breakfast,\"eggs, sausages, and bread\",Carter\ne1993,2010/07/27,lunch,sandwich,\ne1994,2010/07/27,dinner,steak,\ne2001,2010/07/28,breakfast,peanut-butter-jam,\"Andrew, Carter\"\ne2002,2010/07/28,lunch,fish and chips,\ne2003,2010/07/28,dinner,chinese food,\"Piper, Avery, Layla, Lydia, Rylee\"\ne2010,2010/07/29,breakfast,pancakes,\ne2011,2010/07/29,lunch,steak,\ne2012,2010/07/29,dinner,fish and chips,Jackson\ne2018,2010/07/30,breakfast,\"eggs, sausages, and bread\",\ne2019,2010/07/30,lunch,fish and chips,\"Piper, Kinsley, Hazel, Rylee, Lydia, Nevaeh, Claire, Eva, Nora, Olivia, Layla, Piper, Avery\"\ne2020,2010/07/30,dinner,chinese food,\ne2028,2010/07/31,breakfast,peanut-butter-jam,\"Kinsley, Avery, Olivia, Piper, Rylee, Piper, Eva, Nora, Layla, Nevaeh, Claire\"\ne2029,2010/07/31,lunch,sandwich,\ne2030,2010/07/31,dinner,a burger,\"Nora, Lydia, Olivia, Eva, Hazel, Piper, Layla, Nevaeh, Rylee, Claire, Piper, Avery, Kinsley\"\ne2037,2010/08/01,breakfast,pancakes,\"Kayden, Carter, Emily, Andrew\"\ne2038,2010/08/01,lunch,a burger,Kayden\ne2039,2010/08/01,dinner,indian food,\ne2047,2010/08/02,breakfast,oatmeal,\"Piper, Layla, Nevaeh, Nora, Lydia, Rylee, Claire, Hazel, Olivia, Piper, Avery, Kinsley\"\ne2048,2010/08/02,lunch,pasta,\ne2049,2010/08/02,dinner,sushi,\"Willow, Jackson, Avery\"\ne2057,2010/08/03,breakfast,\"eggs, sausages, and bread\",\ne2058,2010/08/03,lunch,a burger,\ne2059,2010/08/03,dinner,sandwich,\"Kayden, Carter, Andrew\"\ne2065,2010/08/04,breakfast,toast and cheese,\"Jackson, Willow, Benjamin, Avery\"\ne2066,2010/08/04,lunch,tacos,\ne2067,2010/08/04,dinner,indian food,Carter\ne2075,2010/08/05,breakfast,oatmeal,\ne2076,2010/08/05,lunch,indian food,\"Piper, Hazel, Nevaeh, Olivia, Claire, Avery, Eva, Piper\"\ne2077,2010/08/05,dinner,pasta,\ne2085,2010/08/06,breakfast,oatmeal,\ne2086,2010/08/06,lunch,chinese food,\ne2087,2010/08/06,dinner,sushi,\"Kayden, Emily\"\ne2092,2010/08/07,breakfast,\"eggs, sausages, and bread\",\ne2093,2010/08/07,lunch,indian food,Carter\ne2094,2010/08/07,dinner,tacos,\ne2099,2010/08/08,breakfast,pancakes,\ne2100,2010/08/08,lunch,sandwich,\ne2101,2010/08/08,dinner,a burger,\"Willow, Benjamin, Jackson, Avery\"\ne2107,2010/08/09,breakfast,\"eggs, sausages, and bread\",\ne2108,2010/08/09,lunch,sushi,\"Carter, Kayden, Emily, Andrew\"\ne2109,2010/08/09,dinner,sandwich,\ne2115,2010/08/10,breakfast,toast and cheese,\ne2116,2010/08/10,lunch,sandwich,\ne2117,2010/08/10,dinner,chinese food,\ne2123,2010/08/11,breakfast,toast and cheese,\ne2124,2010/08/11,lunch,pasta,\"Jackson, Avery\"\ne2125,2010/08/11,dinner,chinese food,\"Avery, Jackson, Willow, Benjamin\"\ne2131,2010/08/12,breakfast,peanut-butter-jam,\ne2132,2010/08/12,lunch,a burger,\ne2133,2010/08/12,dinner,steak,\ne2139,2010/08/13,breakfast,pancakes,\"Emily, Carter, Kayden, Andrew\"\ne2140,2010/08/13,lunch,tacos,\ne2141,2010/08/13,dinner,tacos,\"Willow, Benjamin\"\ne2146,2010/08/14,breakfast,cereals,Carter\ne2147,2010/08/14,lunch,indian food,Carter\ne2148,2010/08/14,dinner,tacos,\ne2155,2010/08/15,breakfast,pancakes,\ne2156,2010/08/15,lunch,pasta,\"Eva, Olivia, Lydia, Kinsley, Piper, Avery, Hazel\"\ne2157,2010/08/15,dinner,tacos,\ne2163,2010/08/16,breakfast,oatmeal,\"Nora, Piper\"\ne2164,2010/08/16,lunch,tacos,\ne2165,2010/08/16,dinner,steak,\"Piper, Nevaeh, Lydia, Claire, Hazel, Layla, Nora, Olivia, Eva\"\ne2173,2010/08/17,breakfast,peanut-butter-jam,\"Avery, Benjamin, Willow\"\ne2174,2010/08/17,lunch,pasta,\ne2175,2010/08/17,dinner,pasta,\"Emily, Kayden, Andrew, Carter\"\ne2181,2010/08/18,breakfast,cereals,\ne2182,2010/08/18,lunch,a burger,\"Carter, Kayden, Emily, Andrew\"\ne2183,2010/08/18,dinner,tacos,\ne2189,2010/08/19,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter, Emily, Andrew\"\ne2190,2010/08/19,lunch,chinese food,\"Piper, Eva\"\ne2191,2010/08/19,dinner,a burger,Olivia\ne2197,2010/08/20,breakfast,pancakes,\ne2198,2010/08/20,lunch,chinese food,Willow\ne2199,2010/08/20,dinner,sandwich,\"Carter, Andrew\"\ne2206,2010/08/21,breakfast,peanut-butter-jam,\ne2207,2010/08/21,lunch,pasta,\ne2208,2010/08/21,dinner,steak,\"Carter, Emily, Andrew\"\ne2213,2010/08/22,breakfast,toast and cheese,\ne2214,2010/08/22,lunch,sushi,\ne2215,2010/08/22,dinner,tacos,\"Avery, Jackson, Benjamin\"\ne2221,2010/08/23,breakfast,peanut-butter-jam,Willow\ne2222,2010/08/23,lunch,a burger,\"Avery, Jackson, Willow, Benjamin\"\ne2223,2010/08/23,dinner,chinese food,\ne2230,2010/08/24,breakfast,\"eggs, sausages, and bread\",\ne2231,2010/08/24,lunch,steak,\ne2232,2010/08/24,dinner,steak,\ne2238,2010/08/25,breakfast,\"eggs, sausages, and bread\",\ne2239,2010/08/25,lunch,a burger,\ne2240,2010/08/25,dinner,fish and chips,\"Nora, Kinsley, Hazel, Rylee, Piper, Piper, Layla, Lydia, Claire, Nevaeh, Eva, Avery\"\ne2246,2010/08/26,breakfast,\"eggs, sausages, and bread\",\ne2247,2010/08/26,lunch,tacos,\"Kayden, Emily\"\ne2248,2010/08/26,dinner,steak,\ne2254,2010/08/27,breakfast,oatmeal,\"Claire, Nevaeh, Eva, Lydia, Olivia, Nora, Piper, Rylee, Layla\"\ne2255,2010/08/27,lunch,sandwich,\"Rylee, Layla, Kinsley, Avery, Claire, Piper, Lydia, Nevaeh, Nora, Hazel\"\ne2256,2010/08/27,dinner,fish and chips,\ne2262,2010/08/28,breakfast,cereals,\"Hazel, Nevaeh, Eva, Layla\"\ne2263,2010/08/28,lunch,steak,\ne2264,2010/08/28,dinner,sushi,\ne2271,2010/08/29,breakfast,\"eggs, sausages, and bread\",Kayden\ne2272,2010/08/29,lunch,sushi,\"Eva, Lydia, Layla, Kinsley, Avery, Nevaeh, Piper, Nora, Olivia, Piper, Claire\"\ne2273,2010/08/29,dinner,tacos,\"Kayden, Andrew, Emily\"\ne2280,2010/08/30,breakfast,oatmeal,\ne2281,2010/08/30,lunch,steak,\"Carter, Andrew, Kayden, Emily\"\ne2282,2010/08/30,dinner,sushi,\ne2288,2010/08/31,breakfast,oatmeal,\ne2289,2010/08/31,lunch,fish and chips,\ne2290,2010/08/31,dinner,steak,\ne2297,2010/09/01,breakfast,\"eggs, sausages, and bread\",\ne2298,2010/09/01,lunch,sandwich,\ne2299,2010/09/01,dinner,steak,\ne2305,2010/09/02,breakfast,oatmeal,\ne2306,2010/09/02,lunch,indian food,\ne2307,2010/09/02,dinner,a burger,\"Willow, Benjamin\"\ne2315,2010/09/03,breakfast,cereals,\"Carter, Kayden, Andrew, Emily\"\ne2316,2010/09/03,lunch,tacos,\ne2317,2010/09/03,dinner,a burger,\ne2324,2010/09/04,breakfast,oatmeal,\ne2325,2010/09/04,lunch,indian food,\ne2326,2010/09/04,dinner,chinese food,\"Carter, Andrew, Emily\"\ne2333,2010/09/05,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Kayden\"\ne2334,2010/09/05,lunch,chinese food,\"Rylee, Avery, Nora, Piper, Piper, Claire, Eva\"\ne2335,2010/09/05,dinner,fish and chips,\ne2341,2010/09/06,breakfast,cereals,\"Eva, Lydia, Claire, Rylee, Nevaeh, Kinsley, Avery, Piper, Hazel, Piper\"\ne2342,2010/09/06,lunch,steak,\ne2343,2010/09/06,dinner,a burger,\ne2351,2010/09/07,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter\"\ne2352,2010/09/07,lunch,fish and chips,\ne2353,2010/09/07,dinner,pasta,\ne2361,2010/09/08,breakfast,peanut-butter-jam,\"Willow, Jackson\"\ne2362,2010/09/08,lunch,a burger,\ne2363,2010/09/08,dinner,fish and chips,\"Nora, Layla, Piper\"\ne2370,2010/09/09,breakfast,peanut-butter-jam,\ne2371,2010/09/09,lunch,indian food,\ne2372,2010/09/09,dinner,pasta,\ne2378,2010/09/10,breakfast,oatmeal,\ne2379,2010/09/10,lunch,a burger,\ne2380,2010/09/10,dinner,a burger,\ne2388,2010/09/11,breakfast,\"eggs, sausages, and bread\",\"Willow, Benjamin, Avery, Jackson\"\ne2389,2010/09/11,lunch,tacos,\ne2390,2010/09/11,dinner,a burger,\"Carter, Andrew\"\ne2397,2010/09/12,breakfast,cereals,\ne2398,2010/09/12,lunch,tacos,\ne2399,2010/09/12,dinner,tacos,\ne2405,2010/09/13,breakfast,oatmeal,\ne2406,2010/09/13,lunch,chinese food,\ne2407,2010/09/13,dinner,a burger,\"Kayden, Carter, Andrew\"\ne2414,2010/09/14,breakfast,peanut-butter-jam,\ne2415,2010/09/14,lunch,steak,\"Andrew, Carter\"\ne2416,2010/09/14,dinner,indian food,\"Kinsley, Claire, Eva, Avery, Nevaeh, Layla, Piper, Olivia, Rylee, Lydia\"\ne2423,2010/09/15,breakfast,peanut-butter-jam,\"Avery, Benjamin, Willow, Jackson\"\ne2424,2010/09/15,lunch,fish and chips,\ne2425,2010/09/15,dinner,pasta,\ne2431,2010/09/16,breakfast,peanut-butter-jam,\ne2432,2010/09/16,lunch,sandwich,\"Olivia, Rylee, Piper\"\ne2433,2010/09/16,dinner,steak,\ne2440,2010/09/17,breakfast,\"eggs, sausages, and bread\",Andrew\ne2441,2010/09/17,lunch,tacos,\"Jackson, Benjamin\"\ne2442,2010/09/17,dinner,sandwich,\"Andrew, Carter, Kayden\"\ne2449,2010/09/18,breakfast,pancakes,\ne2450,2010/09/18,lunch,fish and chips,\ne2451,2010/09/18,dinner,a burger,\ne2458,2010/09/19,breakfast,peanut-butter-jam,\ne2459,2010/09/19,lunch,chinese food,\ne2460,2010/09/19,dinner,pasta,\ne2468,2010/09/20,breakfast,\"eggs, sausages, and bread\",\ne2469,2010/09/20,lunch,indian food,\ne2470,2010/09/20,dinner,sandwich,\"Avery, Benjamin, Willow\"\ne2478,2010/09/21,breakfast,oatmeal,\ne2479,2010/09/21,lunch,sushi,\ne2480,2010/09/21,dinner,tacos,\"Carter, Emily, Andrew\"\ne2487,2010/09/22,breakfast,oatmeal,\ne2488,2010/09/22,lunch,pasta,\"Carter, Emily, Kayden, Andrew\"\ne2489,2010/09/22,dinner,tacos,\"Andrew, Emily, Carter\"\ne2496,2010/09/23,breakfast,cereals,\"Olivia, Avery, Lydia, Nora, Piper\"\ne2497,2010/09/23,lunch,chinese food,\ne2498,2010/09/23,dinner,steak,\"Layla, Hazel, Eva, Nevaeh\"\ne2505,2010/09/24,breakfast,peanut-butter-jam,\"Piper, Layla, Lydia, Olivia\"\ne2506,2010/09/24,lunch,fish and chips,\"Carter, Emily\"\ne2507,2010/09/24,dinner,tacos,Layla\ne2513,2010/09/25,breakfast,toast and cheese,\ne2514,2010/09/25,lunch,pasta,\"Benjamin, Jackson, Avery, Willow\"\ne2515,2010/09/25,dinner,pasta,\ne2523,2010/09/26,breakfast,oatmeal,\"Willow, Jackson, Avery\"\ne2524,2010/09/26,lunch,indian food,\"Lydia, Kinsley, Piper, Rylee, Hazel, Eva, Layla, Olivia, Nevaeh, Avery, Claire\"\ne2525,2010/09/26,dinner,pasta,\ne2532,2010/09/27,breakfast,\"eggs, sausages, and bread\",\"Rylee, Olivia, Piper, Eva, Claire, Nevaeh, Nora, Kinsley, Hazel\"\ne2533,2010/09/27,lunch,sushi,\ne2534,2010/09/27,dinner,chinese food,\ne2540,2010/09/28,breakfast,oatmeal,\"Kayden, Carter, Andrew, Emily\"\ne2541,2010/09/28,lunch,a burger,\ne2542,2010/09/28,dinner,chinese food,Emily\ne2550,2010/09/29,breakfast,pancakes,\"Layla, Claire, Piper, Avery, Piper, Rylee, Hazel, Nora\"\ne2551,2010/09/29,lunch,fish and chips,\ne2552,2010/09/29,dinner,sandwich,\ne2558,2010/09/30,breakfast,oatmeal,\ne2559,2010/09/30,lunch,pasta,\ne2560,2010/09/30,dinner,sandwich,\"Olivia, Piper, Layla, Claire, Kinsley, Eva, Hazel, Rylee, Nora, Piper, Lydia, Nevaeh\"\ne2568,2010/10/01,breakfast,toast and cheese,\"Rylee, Eva\"\ne2569,2010/10/01,lunch,chinese food,\ne2570,2010/10/01,dinner,fish and chips,\ne2576,2010/10/02,breakfast,peanut-butter-jam,\ne2577,2010/10/02,lunch,a burger,\"Jackson, Willow, Avery\"\ne2578,2010/10/02,dinner,pasta,\ne2585,2010/10/03,breakfast,toast and cheese,\"Kayden, Andrew, Emily, Carter\"\ne2586,2010/10/03,lunch,chinese food,\ne2587,2010/10/03,dinner,fish and chips,\ne2593,2010/10/04,breakfast,peanut-butter-jam,\ne2594,2010/10/04,lunch,sushi,\ne2595,2010/10/04,dinner,sushi,\ne2602,2010/10/05,breakfast,\"eggs, sausages, and bread\",\ne2603,2010/10/05,lunch,sandwich,\ne2604,2010/10/05,dinner,tacos,\ne2611,2010/10/06,breakfast,cereals,\"Piper, Olivia, Nora, Lydia, Claire, Piper, Avery, Kinsley\"\ne2612,2010/10/06,lunch,indian food,\ne2613,2010/10/06,dinner,sushi,\ne2619,2010/10/07,breakfast,peanut-butter-jam,\ne2620,2010/10/07,lunch,tacos,\ne2621,2010/10/07,dinner,pasta,\ne2628,2010/10/08,breakfast,pancakes,\ne2629,2010/10/08,lunch,a burger,\ne2630,2010/10/08,dinner,chinese food,\ne2636,2010/10/09,breakfast,pancakes,\ne2637,2010/10/09,lunch,chinese food,\ne2638,2010/10/09,dinner,steak,\ne2645,2010/10/10,breakfast,oatmeal,\ne2646,2010/10/10,lunch,steak,\"Kayden, Carter, Emily, Andrew\"\ne2647,2010/10/10,dinner,steak,\"Andrew, Carter\"\ne2655,2010/10/11,breakfast,pancakes,\ne2656,2010/10/11,lunch,pasta,\"Hazel, Layla, Avery, Olivia, Nora, Rylee, Claire, Nevaeh, Piper, Eva, Lydia\"\ne2657,2010/10/11,dinner,tacos,\"Andrew, Kayden, Carter, Emily\"\ne2663,2010/10/12,breakfast,toast and cheese,\ne2664,2010/10/12,lunch,fish and chips,\ne2665,2010/10/12,dinner,pasta,\ne2671,2010/10/13,breakfast,peanut-butter-jam,\ne2672,2010/10/13,lunch,chinese food,\ne2673,2010/10/13,dinner,sandwich,\ne2679,2010/10/14,breakfast,pancakes,\"Kayden, Carter\"\ne2680,2010/10/14,lunch,sandwich,\"Hazel, Rylee, Eva, Piper, Kinsley, Claire, Piper\"\ne2681,2010/10/14,dinner,sandwich,\"Nora, Claire, Hazel\"\ne2688,2010/10/15,breakfast,cereals,\ne2689,2010/10/15,lunch,steak,\"Benjamin, Willow, Avery, Jackson\"\ne2690,2010/10/15,dinner,chinese food,\"Jackson, Avery, Benjamin\"\ne2697,2010/10/16,breakfast,\"eggs, sausages, and bread\",\"Hazel, Rylee, Avery\"\ne2698,2010/10/16,lunch,fish and chips,\ne2699,2010/10/16,dinner,a burger,\ne2705,2010/10/17,breakfast,cereals,\"Hazel, Piper, Lydia, Rylee, Piper, Olivia\"\ne2706,2010/10/17,lunch,indian food,Carter\ne2707,2010/10/17,dinner,fish and chips,\ne2714,2010/10/18,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden\"\ne2715,2010/10/18,lunch,fish and chips,\ne2716,2010/10/18,dinner,sushi,\ne2722,2010/10/19,breakfast,peanut-butter-jam,\"Carter, Kayden, Andrew, Emily\"\ne2723,2010/10/19,lunch,fish and chips,\ne2724,2010/10/19,dinner,steak,\ne2732,2010/10/20,breakfast,\"eggs, sausages, and bread\",\"Claire, Eva\"\ne2733,2010/10/20,lunch,sushi,\"Kayden, Andrew, Emily, Carter\"\ne2734,2010/10/20,dinner,fish and chips,Andrew\ne2741,2010/10/21,breakfast,\"eggs, sausages, and bread\",\ne2742,2010/10/21,lunch,fish and chips,\ne2743,2010/10/21,dinner,indian food,\ne2750,2010/10/22,breakfast,pancakes,\ne2751,2010/10/22,lunch,sandwich,\"Olivia, Lydia, Nora, Eva, Piper\"\ne2752,2010/10/22,dinner,a burger,\"Nevaeh, Kinsley, Rylee, Piper, Piper, Lydia\"\ne2758,2010/10/23,breakfast,pancakes,\ne2759,2010/10/23,lunch,fish and chips,\ne2760,2010/10/23,dinner,steak,\ne2768,2010/10/24,breakfast,toast and cheese,\ne2769,2010/10/24,lunch,sushi,\ne2770,2010/10/24,dinner,a burger,\ne2776,2010/10/25,breakfast,pancakes,\ne2777,2010/10/25,lunch,chinese food,\"Andrew, Kayden, Carter\"\ne2778,2010/10/25,dinner,chinese food,\ne2786,2010/10/26,breakfast,oatmeal,\"Jackson, Benjamin, Willow\"\ne2787,2010/10/26,lunch,steak,\ne2788,2010/10/26,dinner,chinese food,\ne2796,2010/10/27,breakfast,pancakes,\ne2797,2010/10/27,lunch,chinese food,\ne2798,2010/10/27,dinner,sandwich,\ne2805,2010/10/28,breakfast,peanut-butter-jam,\ne2806,2010/10/28,lunch,indian food,\"Avery, Jackson, Willow, Benjamin\"\ne2807,2010/10/28,dinner,tacos,\"Willow, Benjamin, Avery, Jackson\"\ne2814,2010/10/29,breakfast,pancakes,Jackson\ne2815,2010/10/29,lunch,sandwich,\ne2816,2010/10/29,dinner,chinese food,\ne2823,2010/10/30,breakfast,peanut-butter-jam,\ne2824,2010/10/30,lunch,indian food,\"Jackson, Benjamin, Willow, Avery\"\ne2825,2010/10/30,dinner,sandwich,\ne2832,2010/10/31,breakfast,oatmeal,\ne2833,2010/10/31,lunch,fish and chips,\ne2834,2010/10/31,dinner,chinese food,\ne2841,2010/11/01,breakfast,peanut-butter-jam,\ne2842,2010/11/01,lunch,indian food,\ne2843,2010/11/01,dinner,fish and chips,\ne2849,2010/11/02,breakfast,toast and cheese,Carter\ne2850,2010/11/02,lunch,pasta,\"Willow, Benjamin, Jackson, Avery\"\ne2851,2010/11/02,dinner,sushi,\ne2857,2010/11/03,breakfast,\"eggs, sausages, and bread\",\ne2858,2010/11/03,lunch,indian food,\"Eva, Claire\"\ne2859,2010/11/03,dinner,steak,Jackson\ne2866,2010/11/04,breakfast,oatmeal,\ne2867,2010/11/04,lunch,sandwich,\"Kayden, Carter, Andrew, Emily\"\ne2868,2010/11/04,dinner,tacos,\ne2875,2010/11/05,breakfast,toast and cheese,\ne2876,2010/11/05,lunch,steak,\ne2877,2010/11/05,dinner,fish and chips,\ne2883,2010/11/06,breakfast,\"eggs, sausages, and bread\",\ne2884,2010/11/06,lunch,a burger,\ne2885,2010/11/06,dinner,sushi,\ne2891,2010/11/07,breakfast,peanut-butter-jam,\ne2892,2010/11/07,lunch,sandwich,\ne2893,2010/11/07,dinner,chinese food,\"Benjamin, Jackson, Avery\"\ne2901,2010/11/08,breakfast,\"eggs, sausages, and bread\",Kayden\ne2902,2010/11/08,lunch,a burger,\ne2903,2010/11/08,dinner,fish and chips,\ne2909,2010/11/09,breakfast,\"eggs, sausages, and bread\",\ne2910,2010/11/09,lunch,sandwich,\ne2911,2010/11/09,dinner,sushi,\"Andrew, Emily\"\ne2919,2010/11/10,breakfast,oatmeal,\"Jackson, Willow, Avery\"\ne2920,2010/11/10,lunch,indian food,\ne2921,2010/11/10,dinner,pasta,\ne2929,2010/11/11,breakfast,peanut-butter-jam,\ne2930,2010/11/11,lunch,sushi,\ne2931,2010/11/11,dinner,sandwich,\ne2938,2010/11/12,breakfast,cereals,\"Claire, Hazel, Piper, Lydia\"\ne2939,2010/11/12,lunch,tacos,\"Nora, Layla, Piper, Claire, Lydia, Piper, Nevaeh, Hazel\"\ne2940,2010/11/12,dinner,fish and chips,\"Kayden, Carter, Andrew, Emily\"\ne2948,2010/11/13,breakfast,cereals,\"Avery, Benjamin, Jackson\"\ne2949,2010/11/13,lunch,tacos,\ne2950,2010/11/13,dinner,chinese food,\"Willow, Benjamin, Jackson, Avery\"\ne2958,2010/11/14,breakfast,peanut-butter-jam,Jackson\ne2959,2010/11/14,lunch,sandwich,\"Eva, Nora\"\ne2960,2010/11/14,dinner,pasta,\ne2966,2010/11/15,breakfast,\"eggs, sausages, and bread\",\"Nora, Hazel, Lydia, Claire, Eva, Rylee, Avery, Nevaeh\"\ne2967,2010/11/15,lunch,chinese food,\ne2968,2010/11/15,dinner,pasta,Carter\ne2976,2010/11/16,breakfast,cereals,\ne2977,2010/11/16,lunch,fish and chips,\ne2978,2010/11/16,dinner,sandwich,\"Avery, Rylee\"\ne2983,2010/11/17,breakfast,peanut-butter-jam,\ne2984,2010/11/17,lunch,steak,\ne2985,2010/11/17,dinner,sushi,\"Piper, Avery, Layla, Kinsley\"\ne2992,2010/11/18,breakfast,oatmeal,\"Carter, Andrew, Emily\"\ne2993,2010/11/18,lunch,a burger,\"Kinsley, Claire, Eva, Nora, Layla, Rylee, Hazel\"\ne2994,2010/11/18,dinner,steak,\ne3001,2010/11/19,breakfast,pancakes,\ne3002,2010/11/19,lunch,chinese food,\"Nora, Eva, Olivia, Piper\"\ne3003,2010/11/19,dinner,fish and chips,\ne3008,2010/11/20,breakfast,peanut-butter-jam,Benjamin\ne3009,2010/11/20,lunch,chinese food,\"Emily, Kayden\"\ne3010,2010/11/20,dinner,fish and chips,\"Andrew, Kayden, Emily, Carter\"\ne3016,2010/11/21,breakfast,\"eggs, sausages, and bread\",\ne3017,2010/11/21,lunch,sushi,\ne3018,2010/11/21,dinner,chinese food,\ne3024,2010/11/22,breakfast,peanut-butter-jam,\ne3025,2010/11/22,lunch,sushi,\ne3026,2010/11/22,dinner,pasta,\ne3034,2010/11/23,breakfast,\"eggs, sausages, and bread\",\ne3035,2010/11/23,lunch,fish and chips,\ne3036,2010/11/23,dinner,tacos,\ne3043,2010/11/24,breakfast,toast and cheese,\ne3044,2010/11/24,lunch,indian food,\"Avery, Benjamin\"\ne3045,2010/11/24,dinner,indian food,\ne3052,2010/11/25,breakfast,oatmeal,\ne3053,2010/11/25,lunch,fish and chips,\ne3054,2010/11/25,dinner,sushi,\"Kayden, Emily, Andrew\"\ne3062,2010/11/26,breakfast,oatmeal,\"Kinsley, Piper, Nevaeh, Eva, Hazel, Avery, Lydia, Nora, Rylee, Layla, Claire, Olivia, Piper\"\ne3063,2010/11/26,lunch,steak,\"Carter, Kayden\"\ne3064,2010/11/26,dinner,indian food,\ne3071,2010/11/27,breakfast,pancakes,\ne3072,2010/11/27,lunch,sushi,\ne3073,2010/11/27,dinner,a burger,\"Emily, Andrew, Carter\"\ne3079,2010/11/28,breakfast,oatmeal,\"Willow, Benjamin\"\ne3080,2010/11/28,lunch,chinese food,\ne3081,2010/11/28,dinner,a burger,\"Kayden, Emily, Andrew, Carter\"\ne3089,2010/11/29,breakfast,\"eggs, sausages, and bread\",\"Andrew, Emily, Kayden\"\ne3090,2010/11/29,lunch,sushi,\ne3091,2010/11/29,dinner,sushi,\ne3099,2010/11/30,breakfast,cereals,\"Olivia, Piper, Claire, Lydia, Rylee, Hazel\"\ne3100,2010/11/30,lunch,tacos,\ne3101,2010/11/30,dinner,pasta,\ne3108,2010/12/01,breakfast,pancakes,\ne3109,2010/12/01,lunch,indian food,\ne3110,2010/12/01,dinner,chinese food,\"Nevaeh, Nora, Hazel, Piper, Claire\"\ne3117,2010/12/02,breakfast,pancakes,Kayden\ne3118,2010/12/02,lunch,sushi,\"Andrew, Kayden, Emily, Carter\"\ne3119,2010/12/02,dinner,sandwich,\ne3124,2010/12/03,breakfast,\"eggs, sausages, and bread\",\ne3125,2010/12/03,lunch,indian food,\ne3126,2010/12/03,dinner,sushi,\ne3131,2010/12/04,breakfast,oatmeal,\"Kayden, Emily, Carter, Andrew\"\ne3132,2010/12/04,lunch,pasta,\"Rylee, Kinsley, Nevaeh, Hazel, Piper, Olivia, Layla\"\ne3133,2010/12/04,dinner,a burger,\ne3139,2010/12/05,breakfast,oatmeal,\ne3140,2010/12/05,lunch,chinese food,\ne3141,2010/12/05,dinner,indian food,\ne3148,2010/12/06,breakfast,toast and cheese,\ne3149,2010/12/06,lunch,tacos,Jackson\ne3150,2010/12/06,dinner,fish and chips,\"Hazel, Nora, Piper, Avery, Lydia, Rylee, Layla, Kinsley, Claire, Piper, Nevaeh\"\ne3157,2010/12/07,breakfast,pancakes,\ne3158,2010/12/07,lunch,sandwich,\"Kayden, Andrew, Emily\"\ne3159,2010/12/07,dinner,a burger,\"Kayden, Emily, Andrew, Carter\"\ne3165,2010/12/08,breakfast,cereals,\"Andrew, Emily, Kayden\"\ne3166,2010/12/08,lunch,a burger,\ne3167,2010/12/08,dinner,sandwich,\ne3173,2010/12/09,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden, Andrew\"\ne3174,2010/12/09,lunch,chinese food,\"Avery, Benjamin, Jackson\"\ne3175,2010/12/09,dinner,fish and chips,\ne3183,2010/12/10,breakfast,peanut-butter-jam,\"Carter, Emily, Andrew, Kayden\"\ne3184,2010/12/10,lunch,sushi,\"Carter, Kayden, Emily, Andrew\"\ne3185,2010/12/10,dinner,steak,\ne3191,2010/12/11,breakfast,peanut-butter-jam,\"Avery, Benjamin, Willow\"\ne3192,2010/12/11,lunch,tacos,\ne3193,2010/12/11,dinner,sandwich,\"Benjamin, Willow\"\ne3199,2010/12/12,breakfast,cereals,\ne3200,2010/12/12,lunch,fish and chips,\"Rylee, Nevaeh\"\ne3201,2010/12/12,dinner,steak,\ne3208,2010/12/13,breakfast,oatmeal,\ne3209,2010/12/13,lunch,tacos,\ne3210,2010/12/13,dinner,steak,\ne3218,2010/12/14,breakfast,toast and cheese,\ne3219,2010/12/14,lunch,chinese food,\ne3220,2010/12/14,dinner,fish and chips,Layla\ne3226,2010/12/15,breakfast,toast and cheese,\"Andrew, Carter\"\ne3227,2010/12/15,lunch,pasta,\ne3228,2010/12/15,dinner,fish and chips,\ne3236,2010/12/16,breakfast,peanut-butter-jam,Kayden\ne3237,2010/12/16,lunch,a burger,Carter\ne3238,2010/12/16,dinner,a burger,Jackson\ne3244,2010/12/17,breakfast,cereals,\ne3245,2010/12/17,lunch,pasta,\ne3246,2010/12/17,dinner,pasta,Jackson\ne3254,2010/12/18,breakfast,toast and cheese,\"Kayden, Andrew\"\ne3255,2010/12/18,lunch,a burger,\ne3256,2010/12/18,dinner,pasta,\ne3264,2010/12/19,breakfast,oatmeal,\ne3265,2010/12/19,lunch,sushi,\ne3266,2010/12/19,dinner,indian food,\ne3273,2010/12/20,breakfast,toast and cheese,\"Jackson, Avery, Willow, Benjamin\"\ne3274,2010/12/20,lunch,steak,\ne3275,2010/12/20,dinner,sushi,\"Andrew, Carter\"\ne3281,2010/12/21,breakfast,pancakes,\ne3282,2010/12/21,lunch,sandwich,\"Olivia, Piper, Piper, Nora, Eva, Kinsley\"\ne3283,2010/12/21,dinner,pasta,\ne3291,2010/12/22,breakfast,\"eggs, sausages, and bread\",\ne3292,2010/12/22,lunch,a burger,\"Kayden, Emily, Andrew, Carter\"\ne3293,2010/12/22,dinner,a burger,\"Carter, Andrew\"\ne3299,2010/12/23,breakfast,peanut-butter-jam,\"Jackson, Willow, Avery\"\ne3300,2010/12/23,lunch,sandwich,\ne3301,2010/12/23,dinner,indian food,\"Willow, Jackson\"\ne3308,2010/12/24,breakfast,toast and cheese,\ne3309,2010/12/24,lunch,pasta,\ne3310,2010/12/24,dinner,sandwich,Emily\ne3318,2010/12/25,breakfast,oatmeal,\ne3319,2010/12/25,lunch,pasta,\ne3320,2010/12/25,dinner,pasta,\ne3326,2010/12/26,breakfast,toast and cheese,\ne3327,2010/12/26,lunch,chinese food,\"Rylee, Claire, Piper, Eva, Lydia, Nevaeh, Piper, Nora, Hazel, Layla, Avery, Kinsley\"\ne3328,2010/12/26,dinner,indian food,\ne3334,2010/12/27,breakfast,\"eggs, sausages, and bread\",\ne3335,2010/12/27,lunch,indian food,\ne3336,2010/12/27,dinner,chinese food,\"Emily, Andrew\"\ne3343,2010/12/28,breakfast,pancakes,\"Eva, Claire, Nora, Olivia, Piper, Avery, Nevaeh, Kinsley, Piper\"\ne3344,2010/12/28,lunch,sandwich,\ne3345,2010/12/28,dinner,sandwich,\"Avery, Claire, Piper, Nevaeh, Layla\"\ne3353,2010/12/29,breakfast,oatmeal,\"Andrew, Emily\"\ne3354,2010/12/29,lunch,steak,\"Hazel, Lydia, Piper, Avery, Rylee, Piper, Eva\"\ne3355,2010/12/29,dinner,sushi,\ne3362,2010/12/30,breakfast,pancakes,\ne3363,2010/12/30,lunch,indian food,\ne3364,2010/12/30,dinner,steak,\ne3369,2010/12/31,breakfast,peanut-butter-jam,\ne3370,2010/12/31,lunch,sushi,\"Carter, Andrew\"\ne3371,2010/12/31,dinner,sandwich,\ne3582,2011/01/01,breakfast,toast and cheese,\"Kayden, Emily, Carter, Andrew\"\ne3583,2011/01/01,lunch,chinese food,\"Layla, Avery, Nora, Nevaeh\"\ne3584,2011/01/01,dinner,indian food,\"Carter, Andrew, Emily\"\ne3590,2011/01/02,breakfast,toast and cheese,\ne3591,2011/01/02,lunch,fish and chips,\ne3592,2011/01/02,dinner,sandwich,\ne3599,2011/01/03,breakfast,toast and cheese,\ne3600,2011/01/03,lunch,fish and chips,\ne3601,2011/01/03,dinner,fish and chips,\ne3607,2011/01/04,breakfast,peanut-butter-jam,\"Rylee, Piper, Nevaeh, Layla, Lydia, Kinsley, Claire, Hazel, Olivia, Nora, Avery, Piper, Eva\"\ne3608,2011/01/04,lunch,pasta,\ne3609,2011/01/04,dinner,indian food,\ne3617,2011/01/05,breakfast,peanut-butter-jam,\ne3618,2011/01/05,lunch,indian food,\ne3619,2011/01/05,dinner,sushi,\ne3625,2011/01/06,breakfast,cereals,\ne3626,2011/01/06,lunch,fish and chips,\ne3627,2011/01/06,dinner,tacos,\ne3633,2011/01/07,breakfast,peanut-butter-jam,\"Rylee, Nora, Nevaeh, Piper, Piper, Layla, Olivia, Avery\"\ne3634,2011/01/07,lunch,pasta,\"Piper, Rylee, Piper, Hazel, Kinsley, Eva, Layla, Avery, Lydia, Nevaeh\"\ne3635,2011/01/07,dinner,a burger,\ne3640,2011/01/08,breakfast,cereals,\ne3641,2011/01/08,lunch,steak,\ne3642,2011/01/08,dinner,sandwich,\ne3648,2011/01/09,breakfast,oatmeal,\ne3649,2011/01/09,lunch,fish and chips,\ne3650,2011/01/09,dinner,indian food,\ne3658,2011/01/10,breakfast,pancakes,Jackson\ne3659,2011/01/10,lunch,pasta,\ne3660,2011/01/10,dinner,steak,\ne3666,2011/01/11,breakfast,cereals,\"Benjamin, Willow\"\ne3667,2011/01/11,lunch,pasta,\ne3668,2011/01/11,dinner,sushi,\ne3675,2011/01/12,breakfast,pancakes,\ne3676,2011/01/12,lunch,a burger,\ne3677,2011/01/12,dinner,sushi,\"Avery, Jackson, Willow\"\ne3683,2011/01/13,breakfast,pancakes,\"Willow, Jackson\"\ne3684,2011/01/13,lunch,pasta,\"Nora, Layla, Kinsley, Claire, Piper, Rylee\"\ne3685,2011/01/13,dinner,pasta,\ne3692,2011/01/14,breakfast,oatmeal,\"Willow, Avery, Benjamin\"\ne3693,2011/01/14,lunch,tacos,\"Kayden, Emily, Carter\"\ne3694,2011/01/14,dinner,indian food,\"Piper, Kinsley, Avery, Hazel, Piper\"\ne3700,2011/01/15,breakfast,toast and cheese,Kayden\ne3701,2011/01/15,lunch,sandwich,Willow\ne3702,2011/01/15,dinner,sandwich,\ne3709,2011/01/16,breakfast,toast and cheese,\ne3710,2011/01/16,lunch,tacos,\"Nora, Layla\"\ne3711,2011/01/16,dinner,sushi,\"Andrew, Kayden\"\ne3717,2011/01/17,breakfast,\"eggs, sausages, and bread\",Benjamin\ne3718,2011/01/17,lunch,indian food,\ne3719,2011/01/17,dinner,tacos,Jackson\ne3725,2011/01/18,breakfast,peanut-butter-jam,\ne3726,2011/01/18,lunch,sushi,Jackson\ne3727,2011/01/18,dinner,fish and chips,\ne3735,2011/01/19,breakfast,oatmeal,\"Jackson, Benjamin, Avery, Willow\"\ne3736,2011/01/19,lunch,fish and chips,\ne3737,2011/01/19,dinner,sushi,\ne3745,2011/01/20,breakfast,oatmeal,\ne3746,2011/01/20,lunch,pasta,\ne3747,2011/01/20,dinner,steak,\"Piper, Layla, Hazel, Piper, Eva\"\ne3753,2011/01/21,breakfast,toast and cheese,\ne3754,2011/01/21,lunch,fish and chips,\"Lydia, Kinsley, Rylee, Claire, Layla, Hazel, Olivia, Piper, Nevaeh, Piper, Nora, Avery, Eva\"\ne3755,2011/01/21,dinner,pasta,\ne3762,2011/01/22,breakfast,peanut-butter-jam,\ne3763,2011/01/22,lunch,indian food,\"Carter, Andrew\"\ne3764,2011/01/22,dinner,pasta,\ne3770,2011/01/23,breakfast,\"eggs, sausages, and bread\",Emily\ne3771,2011/01/23,lunch,steak,\ne3772,2011/01/23,dinner,steak,\"Emily, Andrew\"\ne3779,2011/01/24,breakfast,\"eggs, sausages, and bread\",\ne3780,2011/01/24,lunch,sandwich,\ne3781,2011/01/24,dinner,indian food,\ne3788,2011/01/25,breakfast,\"eggs, sausages, and bread\",\ne3789,2011/01/25,lunch,fish and chips,\ne3790,2011/01/25,dinner,fish and chips,\"Nevaeh, Rylee, Layla, Eva, Olivia, Lydia, Avery, Hazel, Piper\"\ne3798,2011/01/26,breakfast,peanut-butter-jam,\ne3799,2011/01/26,lunch,sushi,\ne3800,2011/01/26,dinner,sandwich,\"Jackson, Avery, Benjamin\"\ne3806,2011/01/27,breakfast,oatmeal,\"Rylee, Layla, Hazel, Olivia, Lydia\"\ne3807,2011/01/27,lunch,pasta,\ne3808,2011/01/27,dinner,fish and chips,\ne3813,2011/01/28,breakfast,peanut-butter-jam,\ne3814,2011/01/28,lunch,fish and chips,Kayden\ne3815,2011/01/28,dinner,sushi,\ne3822,2011/01/29,breakfast,toast and cheese,\"Andrew, Kayden\"\ne3823,2011/01/29,lunch,sushi,\ne3824,2011/01/29,dinner,pasta,\ne3831,2011/01/30,breakfast,pancakes,\ne3832,2011/01/30,lunch,chinese food,Kayden\ne3833,2011/01/30,dinner,tacos,\ne3840,2011/01/31,breakfast,toast and cheese,\ne3841,2011/01/31,lunch,sandwich,\ne3842,2011/01/31,dinner,chinese food,\ne3849,2011/02/01,breakfast,\"eggs, sausages, and bread\",\ne3850,2011/02/01,lunch,fish and chips,\ne3851,2011/02/01,dinner,sushi,\"Andrew, Carter, Kayden, Emily\"\ne3859,2011/02/02,breakfast,cereals,\ne3860,2011/02/02,lunch,chinese food,\"Andrew, Carter, Emily, Kayden\"\ne3861,2011/02/02,dinner,chinese food,\ne3867,2011/02/03,breakfast,\"eggs, sausages, and bread\",Carter\ne3868,2011/02/03,lunch,steak,\ne3869,2011/02/03,dinner,tacos,\ne3875,2011/02/04,breakfast,oatmeal,\ne3876,2011/02/04,lunch,steak,\ne3877,2011/02/04,dinner,chinese food,Kayden\ne3884,2011/02/05,breakfast,toast and cheese,\"Eva, Kinsley, Nora, Hazel, Olivia, Piper, Avery, Layla, Lydia, Piper, Claire, Nevaeh\"\ne3885,2011/02/05,lunch,chinese food,Carter\ne3886,2011/02/05,dinner,steak,Kayden\ne3894,2011/02/06,breakfast,pancakes,\ne3895,2011/02/06,lunch,sandwich,\ne3896,2011/02/06,dinner,a burger,Emily\ne3902,2011/02/07,breakfast,peanut-butter-jam,\ne3903,2011/02/07,lunch,chinese food,\ne3904,2011/02/07,dinner,steak,\"Eva, Claire, Piper\"\ne3911,2011/02/08,breakfast,peanut-butter-jam,\"Carter, Emily\"\ne3912,2011/02/08,lunch,chinese food,Carter\ne3913,2011/02/08,dinner,sandwich,\ne3921,2011/02/09,breakfast,pancakes,\ne3922,2011/02/09,lunch,pasta,\ne3923,2011/02/09,dinner,sushi,Carter\ne3929,2011/02/10,breakfast,peanut-butter-jam,Jackson\ne3930,2011/02/10,lunch,a burger,\ne3931,2011/02/10,dinner,fish and chips,\"Andrew, Kayden, Carter\"\ne3937,2011/02/11,breakfast,cereals,\ne3938,2011/02/11,lunch,sushi,\"Kayden, Carter\"\ne3939,2011/02/11,dinner,tacos,\"Lydia, Rylee, Nora, Kinsley, Nevaeh, Claire, Piper, Olivia\"\ne3945,2011/02/12,breakfast,oatmeal,\ne3946,2011/02/12,lunch,chinese food,\ne3947,2011/02/12,dinner,fish and chips,\ne3954,2011/02/13,breakfast,oatmeal,\ne3955,2011/02/13,lunch,pasta,\ne3956,2011/02/13,dinner,indian food,\ne3962,2011/02/14,breakfast,\"eggs, sausages, and bread\",\ne3963,2011/02/14,lunch,steak,\"Piper, Nevaeh, Layla, Kinsley, Rylee, Hazel, Piper, Lydia, Avery, Olivia\"\ne3964,2011/02/14,dinner,tacos,\ne3971,2011/02/15,breakfast,pancakes,\ne3972,2011/02/15,lunch,steak,\ne3973,2011/02/15,dinner,sushi,Andrew\ne3981,2011/02/16,breakfast,cereals,\"Piper, Lydia, Rylee, Avery\"\ne3982,2011/02/16,lunch,fish and chips,\ne3983,2011/02/16,dinner,chinese food,\ne3989,2011/02/17,breakfast,oatmeal,\ne3990,2011/02/17,lunch,a burger,\"Emily, Andrew, Kayden, Carter\"\ne3991,2011/02/17,dinner,steak,\ne3998,2011/02/18,breakfast,cereals,\ne3999,2011/02/18,lunch,pasta,Carter\ne4000,2011/02/18,dinner,fish and chips,\ne4007,2011/02/19,breakfast,toast and cheese,\ne4008,2011/02/19,lunch,pasta,\ne4009,2011/02/19,dinner,pasta,\"Benjamin, Willow\"\ne4014,2011/02/20,breakfast,cereals,Avery\ne4015,2011/02/20,lunch,sushi,\"Layla, Nora\"\ne4016,2011/02/20,dinner,tacos,\"Carter, Andrew\"\ne4023,2011/02/21,breakfast,toast and cheese,\ne4024,2011/02/21,lunch,fish and chips,\ne4025,2011/02/21,dinner,a burger,\ne4032,2011/02/22,breakfast,cereals,\"Emily, Kayden, Andrew, Carter\"\ne4033,2011/02/22,lunch,fish and chips,\ne4034,2011/02/22,dinner,sushi,\ne4041,2011/02/23,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily\"\ne4042,2011/02/23,lunch,a burger,\"Kayden, Andrew, Carter, Emily\"\ne4043,2011/02/23,dinner,sandwich,Kayden\ne4048,2011/02/24,breakfast,\"eggs, sausages, and bread\",\ne4049,2011/02/24,lunch,indian food,\"Piper, Lydia, Eva, Olivia\"\ne4050,2011/02/24,dinner,fish and chips,\ne4057,2011/02/25,breakfast,peanut-butter-jam,\"Olivia, Piper, Kinsley, Nevaeh, Piper, Lydia, Nora, Rylee, Hazel, Claire, Eva, Avery, Layla\"\ne4058,2011/02/25,lunch,sandwich,\ne4059,2011/02/25,dinner,indian food,\ne4065,2011/02/26,breakfast,toast and cheese,\ne4066,2011/02/26,lunch,fish and chips,\ne4067,2011/02/26,dinner,sushi,\ne4072,2011/02/27,breakfast,cereals,\"Carter, Emily, Andrew, Kayden\"\ne4073,2011/02/27,lunch,a burger,\ne4074,2011/02/27,dinner,a burger,\"Emily, Kayden, Andrew\"\ne4079,2011/02/28,breakfast,peanut-butter-jam,\ne4080,2011/02/28,lunch,indian food,\ne4081,2011/02/28,dinner,tacos,\ne4087,2011/03/01,breakfast,oatmeal,\ne4088,2011/03/01,lunch,sandwich,\ne4089,2011/03/01,dinner,pasta,Emily\ne4095,2011/03/02,breakfast,oatmeal,\ne4096,2011/03/02,lunch,sushi,\ne4097,2011/03/02,dinner,sushi,\ne4103,2011/03/03,breakfast,oatmeal,\ne4104,2011/03/03,lunch,tacos,\ne4105,2011/03/03,dinner,steak,\"Benjamin, Jackson, Willow, Avery\"\ne4109,2011/03/04,breakfast,cereals,\"Andrew, Carter, Emily, Kayden\"\ne4110,2011/03/04,lunch,chinese food,\ne4111,2011/03/04,dinner,a burger,\ne4117,2011/03/05,breakfast,\"eggs, sausages, and bread\",Carter\ne4118,2011/03/05,lunch,sushi,\"Willow, Benjamin, Avery, Jackson\"\ne4119,2011/03/05,dinner,indian food,\ne4126,2011/03/06,breakfast,oatmeal,\"Eva, Claire, Hazel, Piper, Lydia, Olivia, Piper\"\ne4127,2011/03/06,lunch,steak,\ne4128,2011/03/06,dinner,sushi,Avery\ne4135,2011/03/07,breakfast,\"eggs, sausages, and bread\",\ne4136,2011/03/07,lunch,sushi,\ne4137,2011/03/07,dinner,tacos,\ne4145,2011/03/08,breakfast,oatmeal,\ne4146,2011/03/08,lunch,indian food,\"Kayden, Andrew\"\ne4147,2011/03/08,dinner,sandwich,\"Willow, Benjamin\"\ne4154,2011/03/09,breakfast,cereals,\ne4155,2011/03/09,lunch,a burger,\"Kayden, Andrew, Carter, Emily\"\ne4156,2011/03/09,dinner,steak,Andrew\ne4164,2011/03/10,breakfast,cereals,\ne4165,2011/03/10,lunch,fish and chips,Kayden\ne4166,2011/03/10,dinner,a burger,\ne4173,2011/03/11,breakfast,oatmeal,\"Hazel, Claire, Kinsley, Nora, Piper, Layla\"\ne4174,2011/03/11,lunch,steak,\ne4175,2011/03/11,dinner,indian food,Emily\ne4183,2011/03/12,breakfast,\"eggs, sausages, and bread\",\ne4184,2011/03/12,lunch,a burger,\ne4185,2011/03/12,dinner,a burger,\ne4193,2011/03/13,breakfast,pancakes,\ne4194,2011/03/13,lunch,chinese food,\"Andrew, Kayden, Emily\"\ne4195,2011/03/13,dinner,pasta,\ne4201,2011/03/14,breakfast,\"eggs, sausages, and bread\",\"Avery, Layla, Piper\"\ne4202,2011/03/14,lunch,fish and chips,\"Layla, Nora, Lydia, Kinsley, Claire, Piper, Piper, Nevaeh, Rylee, Olivia, Hazel, Avery\"\ne4203,2011/03/14,dinner,steak,\"Hazel, Avery, Kinsley, Olivia, Piper, Claire, Nora, Eva, Layla\"\ne4210,2011/03/15,breakfast,oatmeal,\ne4211,2011/03/15,lunch,sushi,\"Jackson, Benjamin, Avery, Willow\"\ne4212,2011/03/15,dinner,chinese food,Benjamin\ne4219,2011/03/16,breakfast,toast and cheese,\ne4220,2011/03/16,lunch,pasta,\"Olivia, Piper, Claire\"\ne4221,2011/03/16,dinner,a burger,\"Eva, Hazel, Avery, Rylee, Olivia\"\ne4227,2011/03/17,breakfast,cereals,\"Nevaeh, Layla, Olivia, Kinsley, Hazel, Piper, Rylee\"\ne4228,2011/03/17,lunch,fish and chips,Avery\ne4229,2011/03/17,dinner,steak,\"Claire, Nora, Piper, Layla\"\ne4235,2011/03/18,breakfast,oatmeal,\ne4236,2011/03/18,lunch,chinese food,\ne4237,2011/03/18,dinner,indian food,\ne4243,2011/03/19,breakfast,\"eggs, sausages, and bread\",\ne4244,2011/03/19,lunch,steak,\"Piper, Eva, Layla, Nora, Olivia, Avery, Rylee, Hazel, Nevaeh, Lydia\"\ne4245,2011/03/19,dinner,a burger,\"Willow, Benjamin, Avery, Jackson\"\ne4253,2011/03/20,breakfast,peanut-butter-jam,\ne4254,2011/03/20,lunch,steak,\ne4255,2011/03/20,dinner,a burger,\ne4262,2011/03/21,breakfast,peanut-butter-jam,\ne4263,2011/03/21,lunch,tacos,\"Lydia, Hazel, Eva, Nevaeh, Olivia, Layla, Piper, Kinsley, Piper, Rylee, Avery, Claire\"\ne4264,2011/03/21,dinner,a burger,\"Avery, Rylee, Kinsley, Claire, Piper, Lydia, Eva, Nevaeh, Piper, Olivia, Layla, Nora, Hazel\"\ne4272,2011/03/22,breakfast,cereals,\ne4273,2011/03/22,lunch,a burger,\ne4274,2011/03/22,dinner,sandwich,\ne4280,2011/03/23,breakfast,peanut-butter-jam,\ne4281,2011/03/23,lunch,sushi,\"Jackson, Benjamin\"\ne4282,2011/03/23,dinner,fish and chips,\"Hazel, Kinsley, Eva, Nevaeh, Lydia, Avery, Claire, Rylee, Piper, Olivia\"\ne4287,2011/03/24,breakfast,oatmeal,Kayden\ne4288,2011/03/24,lunch,sushi,\ne4289,2011/03/24,dinner,sushi,\ne4296,2011/03/25,breakfast,cereals,\ne4297,2011/03/25,lunch,fish and chips,\ne4298,2011/03/25,dinner,steak,Emily\ne4305,2011/03/26,breakfast,pancakes,\"Eva, Claire, Piper, Nevaeh, Lydia, Layla, Nora, Rylee, Avery, Kinsley, Piper, Olivia\"\ne4306,2011/03/26,lunch,tacos,\ne4307,2011/03/26,dinner,a burger,\ne4313,2011/03/27,breakfast,cereals,\ne4314,2011/03/27,lunch,sushi,\ne4315,2011/03/27,dinner,steak,\ne4321,2011/03/28,breakfast,toast and cheese,\"Rylee, Avery, Piper\"\ne4322,2011/03/28,lunch,pasta,\ne4323,2011/03/28,dinner,tacos,\ne4329,2011/03/29,breakfast,pancakes,\ne4330,2011/03/29,lunch,chinese food,\ne4331,2011/03/29,dinner,indian food,\"Piper, Eva, Piper, Lydia, Hazel\"\ne4337,2011/03/30,breakfast,\"eggs, sausages, and bread\",\ne4338,2011/03/30,lunch,sushi,Andrew\ne4339,2011/03/30,dinner,tacos,\"Carter, Andrew, Kayden, Emily\"\ne4347,2011/03/31,breakfast,cereals,\"Kayden, Carter, Emily, Andrew\"\ne4348,2011/03/31,lunch,tacos,\ne4349,2011/03/31,dinner,indian food,\ne4355,2011/04/01,breakfast,peanut-butter-jam,\ne4356,2011/04/01,lunch,steak,\ne4357,2011/04/01,dinner,a burger,\ne4363,2011/04/02,breakfast,toast and cheese,\ne4364,2011/04/02,lunch,steak,\ne4365,2011/04/02,dinner,fish and chips,\ne4372,2011/04/03,breakfast,\"eggs, sausages, and bread\",\ne4373,2011/04/03,lunch,sandwich,\ne4374,2011/04/03,dinner,fish and chips,\"Rylee, Piper, Piper, Nevaeh, Eva, Kinsley, Nora, Hazel, Olivia, Claire, Avery, Lydia\"\ne4382,2011/04/04,breakfast,oatmeal,\"Carter, Kayden, Emily, Andrew\"\ne4383,2011/04/04,lunch,steak,\ne4384,2011/04/04,dinner,pasta,\ne4390,2011/04/05,breakfast,toast and cheese,\"Andrew, Emily, Kayden, Carter\"\ne4391,2011/04/05,lunch,tacos,\ne4392,2011/04/05,dinner,tacos,\"Kayden, Carter\"\ne4398,2011/04/06,breakfast,\"eggs, sausages, and bread\",\"Nora, Kinsley, Piper, Hazel, Eva, Lydia\"\ne4399,2011/04/06,lunch,fish and chips,\"Jackson, Benjamin, Willow\"\ne4400,2011/04/06,dinner,chinese food,\"Benjamin, Willow, Jackson, Avery\"\ne4406,2011/04/07,breakfast,pancakes,\ne4407,2011/04/07,lunch,chinese food,\"Avery, Willow\"\ne4408,2011/04/07,dinner,a burger,\ne4416,2011/04/08,breakfast,\"eggs, sausages, and bread\",\ne4417,2011/04/08,lunch,sushi,\ne4418,2011/04/08,dinner,steak,\ne4424,2011/04/09,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden, Emily, Carter\"\ne4425,2011/04/09,lunch,pasta,\ne4426,2011/04/09,dinner,steak,Emily\ne4433,2011/04/10,breakfast,\"eggs, sausages, and bread\",\ne4434,2011/04/10,lunch,sandwich,\ne4435,2011/04/10,dinner,steak,\ne4442,2011/04/11,breakfast,cereals,\ne4443,2011/04/11,lunch,a burger,\"Kayden, Andrew, Carter\"\ne4444,2011/04/11,dinner,tacos,\ne4449,2011/04/12,breakfast,\"eggs, sausages, and bread\",\ne4450,2011/04/12,lunch,sushi,\ne4451,2011/04/12,dinner,chinese food,Jackson\ne4458,2011/04/13,breakfast,cereals,\ne4459,2011/04/13,lunch,indian food,\"Kayden, Carter, Emily\"\ne4460,2011/04/13,dinner,sandwich,\ne4467,2011/04/14,breakfast,toast and cheese,Avery\ne4468,2011/04/14,lunch,sandwich,\"Emily, Kayden\"\ne4469,2011/04/14,dinner,steak,\"Carter, Emily, Kayden\"\ne4476,2011/04/15,breakfast,pancakes,\ne4477,2011/04/15,lunch,pasta,\ne4478,2011/04/15,dinner,tacos,\ne4483,2011/04/16,breakfast,peanut-butter-jam,\ne4484,2011/04/16,lunch,indian food,\ne4485,2011/04/16,dinner,sandwich,\"Kayden, Andrew\"\ne4492,2011/04/17,breakfast,oatmeal,\"Andrew, Carter\"\ne4493,2011/04/17,lunch,sushi,\"Kinsley, Hazel, Rylee, Claire, Piper, Layla, Olivia, Piper, Avery, Nora, Eva, Nevaeh\"\ne4494,2011/04/17,dinner,sandwich,\ne4500,2011/04/18,breakfast,cereals,\ne4501,2011/04/18,lunch,pasta,\"Emily, Andrew\"\ne4502,2011/04/18,dinner,pasta,\"Kayden, Carter, Andrew\"\ne4510,2011/04/19,breakfast,cereals,\ne4511,2011/04/19,lunch,steak,\"Emily, Carter\"\ne4512,2011/04/19,dinner,chinese food,\ne4519,2011/04/20,breakfast,pancakes,Jackson\ne4520,2011/04/20,lunch,steak,\"Piper, Kinsley, Piper\"\ne4521,2011/04/20,dinner,chinese food,\"Emily, Carter, Kayden, Andrew\"\ne4528,2011/04/21,breakfast,peanut-butter-jam,\ne4529,2011/04/21,lunch,sushi,\ne4530,2011/04/21,dinner,chinese food,\ne4537,2011/04/22,breakfast,peanut-butter-jam,\ne4538,2011/04/22,lunch,indian food,\ne4539,2011/04/22,dinner,chinese food,\ne4546,2011/04/23,breakfast,peanut-butter-jam,\"Emily, Andrew\"\ne4547,2011/04/23,lunch,chinese food,Kayden\ne4548,2011/04/23,dinner,chinese food,\ne4554,2011/04/24,breakfast,cereals,\ne4555,2011/04/24,lunch,a burger,\"Kayden, Andrew\"\ne4556,2011/04/24,dinner,indian food,Benjamin\ne4563,2011/04/25,breakfast,peanut-butter-jam,Carter\ne4564,2011/04/25,lunch,steak,\ne4565,2011/04/25,dinner,chinese food,\"Claire, Olivia, Nevaeh, Rylee, Eva, Layla, Avery, Piper, Piper, Lydia, Kinsley\"\ne4571,2011/04/26,breakfast,\"eggs, sausages, and bread\",\ne4572,2011/04/26,lunch,fish and chips,\ne4573,2011/04/26,dinner,fish and chips,\ne4581,2011/04/27,breakfast,cereals,\"Willow, Avery, Benjamin, Jackson\"\ne4582,2011/04/27,lunch,tacos,\ne4583,2011/04/27,dinner,sandwich,\ne4589,2011/04/28,breakfast,oatmeal,\ne4590,2011/04/28,lunch,sushi,\"Andrew, Emily, Kayden, Carter\"\ne4591,2011/04/28,dinner,a burger,\"Emily, Carter, Andrew, Kayden\"\ne4599,2011/04/29,breakfast,oatmeal,\"Willow, Benjamin\"\ne4600,2011/04/29,lunch,steak,\ne4601,2011/04/29,dinner,sushi,Kayden\ne4608,2011/04/30,breakfast,pancakes,\ne4609,2011/04/30,lunch,sushi,\ne4610,2011/04/30,dinner,indian food,\ne4617,2011/05/01,breakfast,toast and cheese,\ne4618,2011/05/01,lunch,tacos,\ne4619,2011/05/01,dinner,sushi,\"Andrew, Kayden, Carter, Emily\"\ne4625,2011/05/02,breakfast,\"eggs, sausages, and bread\",\ne4626,2011/05/02,lunch,chinese food,\ne4627,2011/05/02,dinner,indian food,\ne4633,2011/05/03,breakfast,peanut-butter-jam,\ne4634,2011/05/03,lunch,a burger,\ne4635,2011/05/03,dinner,pasta,\ne4642,2011/05/04,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew, Emily\"\ne4643,2011/05/04,lunch,tacos,\ne4644,2011/05/04,dinner,pasta,\ne4651,2011/05/05,breakfast,oatmeal,\"Kayden, Carter, Emily\"\ne4652,2011/05/05,lunch,tacos,\ne4653,2011/05/05,dinner,chinese food,\"Kayden, Andrew, Emily\"\ne4659,2011/05/06,breakfast,toast and cheese,\"Carter, Kayden, Andrew, Emily\"\ne4660,2011/05/06,lunch,fish and chips,\"Emily, Kayden, Andrew\"\ne4661,2011/05/06,dinner,chinese food,\ne4668,2011/05/07,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew, Emily\"\ne4669,2011/05/07,lunch,chinese food,\ne4670,2011/05/07,dinner,tacos,\"Kayden, Emily\"\ne4677,2011/05/08,breakfast,oatmeal,\ne4678,2011/05/08,lunch,tacos,Benjamin\ne4679,2011/05/08,dinner,chinese food,\ne4686,2011/05/09,breakfast,oatmeal,\ne4687,2011/05/09,lunch,pasta,\ne4688,2011/05/09,dinner,chinese food,\"Andrew, Carter, Kayden\"\ne4695,2011/05/10,breakfast,pancakes,\ne4696,2011/05/10,lunch,sushi,\"Piper, Claire, Hazel, Olivia, Nevaeh, Lydia\"\ne4697,2011/05/10,dinner,a burger,\ne4703,2011/05/11,breakfast,toast and cheese,\"Claire, Layla\"\ne4704,2011/05/11,lunch,indian food,\"Andrew, Carter, Kayden, Emily\"\ne4705,2011/05/11,dinner,sandwich,\ne4711,2011/05/12,breakfast,peanut-butter-jam,\ne4712,2011/05/12,lunch,sandwich,Andrew\ne4713,2011/05/12,dinner,steak,\ne4720,2011/05/13,breakfast,peanut-butter-jam,\ne4721,2011/05/13,lunch,sushi,\"Kinsley, Piper, Hazel, Claire\"\ne4722,2011/05/13,dinner,sushi,\ne4729,2011/05/14,breakfast,\"eggs, sausages, and bread\",Kayden\ne4730,2011/05/14,lunch,sushi,\ne4731,2011/05/14,dinner,sushi,\ne4737,2011/05/15,breakfast,cereals,\ne4738,2011/05/15,lunch,pasta,\ne4739,2011/05/15,dinner,a burger,\"Kayden, Carter\"\ne4747,2011/05/16,breakfast,toast and cheese,\"Kayden, Carter, Emily, Andrew\"\ne4748,2011/05/16,lunch,fish and chips,\ne4749,2011/05/16,dinner,chinese food,\ne4756,2011/05/17,breakfast,pancakes,\ne4757,2011/05/17,lunch,tacos,\"Willow, Avery\"\ne4758,2011/05/17,dinner,steak,\ne4764,2011/05/18,breakfast,cereals,\ne4765,2011/05/18,lunch,indian food,\ne4766,2011/05/18,dinner,pasta,\ne4772,2011/05/19,breakfast,oatmeal,\"Emily, Carter\"\ne4773,2011/05/19,lunch,tacos,\ne4774,2011/05/19,dinner,chinese food,\"Emily, Andrew, Kayden, Carter\"\ne4781,2011/05/20,breakfast,oatmeal,\ne4782,2011/05/20,lunch,a burger,\"Carter, Kayden, Andrew, Emily\"\ne4783,2011/05/20,dinner,sandwich,\"Andrew, Kayden, Carter, Emily\"\ne4789,2011/05/21,breakfast,oatmeal,\ne4790,2011/05/21,lunch,pasta,\"Benjamin, Avery, Jackson\"\ne4791,2011/05/21,dinner,a burger,\"Layla, Avery, Olivia, Kinsley\"\ne4799,2011/05/22,breakfast,\"eggs, sausages, and bread\",\ne4800,2011/05/22,lunch,pasta,\ne4801,2011/05/22,dinner,chinese food,\"Kayden, Emily, Andrew\"\ne4807,2011/05/23,breakfast,pancakes,\ne4808,2011/05/23,lunch,sushi,\ne4809,2011/05/23,dinner,steak,\"Kayden, Emily, Andrew, Carter\"\ne4817,2011/05/24,breakfast,\"eggs, sausages, and bread\",Avery\ne4818,2011/05/24,lunch,indian food,\ne4819,2011/05/24,dinner,chinese food,\"Nevaeh, Olivia, Kinsley, Eva, Piper, Avery, Claire, Lydia, Hazel, Rylee\"\ne4825,2011/05/25,breakfast,toast and cheese,\ne4826,2011/05/25,lunch,sushi,\ne4827,2011/05/25,dinner,indian food,\ne4834,2011/05/26,breakfast,oatmeal,\ne4835,2011/05/26,lunch,indian food,\"Eva, Piper, Hazel, Avery, Olivia, Rylee, Piper\"\ne4836,2011/05/26,dinner,indian food,\"Willow, Benjamin, Avery\"\ne4843,2011/05/27,breakfast,cereals,\ne4844,2011/05/27,lunch,indian food,\"Piper, Rylee, Nora, Piper\"\ne4845,2011/05/27,dinner,a burger,\"Emily, Carter\"\ne4851,2011/05/28,breakfast,toast and cheese,\ne4852,2011/05/28,lunch,fish and chips,\ne4853,2011/05/28,dinner,steak,\ne4859,2011/05/29,breakfast,oatmeal,\ne4860,2011/05/29,lunch,pasta,\ne4861,2011/05/29,dinner,indian food,\"Benjamin, Jackson\"\ne4869,2011/05/30,breakfast,toast and cheese,\ne4870,2011/05/30,lunch,steak,\"Olivia, Eva, Nevaeh, Kinsley\"\ne4871,2011/05/30,dinner,sandwich,\"Carter, Emily, Kayden, Andrew\"\ne4878,2011/05/31,breakfast,\"eggs, sausages, and bread\",\ne4879,2011/05/31,lunch,chinese food,Andrew\ne4880,2011/05/31,dinner,steak,\ne4886,2011/06/01,breakfast,oatmeal,\ne4887,2011/06/01,lunch,fish and chips,\ne4888,2011/06/01,dinner,indian food,\ne4895,2011/06/02,breakfast,pancakes,\ne4896,2011/06/02,lunch,sushi,\ne4897,2011/06/02,dinner,tacos,\ne4904,2011/06/03,breakfast,pancakes,\"Emily, Andrew\"\ne4905,2011/06/03,lunch,a burger,\ne4906,2011/06/03,dinner,pasta,\ne4912,2011/06/04,breakfast,oatmeal,\ne4913,2011/06/04,lunch,sushi,\ne4914,2011/06/04,dinner,fish and chips,\ne4922,2011/06/05,breakfast,oatmeal,Benjamin\ne4923,2011/06/05,lunch,steak,\ne4924,2011/06/05,dinner,a burger,\"Emily, Andrew\"\ne4930,2011/06/06,breakfast,oatmeal,\"Kinsley, Piper, Lydia, Claire, Layla, Avery\"\ne4931,2011/06/06,lunch,indian food,\ne4932,2011/06/06,dinner,fish and chips,\ne4937,2011/06/07,breakfast,toast and cheese,\ne4938,2011/06/07,lunch,chinese food,\ne4939,2011/06/07,dinner,steak,\ne4946,2011/06/08,breakfast,toast and cheese,\ne4947,2011/06/08,lunch,sushi,\ne4948,2011/06/08,dinner,tacos,\ne4955,2011/06/09,breakfast,peanut-butter-jam,\ne4956,2011/06/09,lunch,tacos,\ne4957,2011/06/09,dinner,tacos,\ne4963,2011/06/10,breakfast,cereals,\"Avery, Willow, Benjamin, Jackson\"\ne4964,2011/06/10,lunch,sushi,\ne4965,2011/06/10,dinner,chinese food,\ne4972,2011/06/11,breakfast,peanut-butter-jam,\ne4973,2011/06/11,lunch,steak,\ne4974,2011/06/11,dinner,tacos,\ne4981,2011/06/12,breakfast,oatmeal,\ne4982,2011/06/12,lunch,sushi,\ne4983,2011/06/12,dinner,tacos,\"Avery, Willow, Jackson, Benjamin\"\ne4991,2011/06/13,breakfast,toast and cheese,\ne4992,2011/06/13,lunch,pasta,\ne4993,2011/06/13,dinner,sandwich,\ne4999,2011/06/14,breakfast,toast and cheese,\ne5000,2011/06/14,lunch,indian food,\ne5001,2011/06/14,dinner,sushi,Avery\ne5008,2011/06/15,breakfast,oatmeal,\ne5009,2011/06/15,lunch,tacos,\ne5010,2011/06/15,dinner,steak,\"Piper, Piper, Nora, Nevaeh, Kinsley, Claire, Layla, Eva, Rylee, Avery, Olivia, Lydia, Hazel\"\ne5017,2011/06/16,breakfast,oatmeal,\ne5018,2011/06/16,lunch,a burger,\ne5019,2011/06/16,dinner,sushi,\ne5026,2011/06/17,breakfast,oatmeal,\ne5027,2011/06/17,lunch,indian food,\"Emily, Kayden, Carter, Andrew\"\ne5028,2011/06/17,dinner,tacos,\"Carter, Kayden\"\ne5035,2011/06/18,breakfast,oatmeal,\"Layla, Piper, Olivia, Rylee, Hazel, Lydia, Claire\"\ne5036,2011/06/18,lunch,fish and chips,\ne5037,2011/06/18,dinner,chinese food,\"Lydia, Nevaeh, Avery, Piper, Rylee, Hazel\"\ne5045,2011/06/19,breakfast,\"eggs, sausages, and bread\",\ne5046,2011/06/19,lunch,tacos,\"Avery, Willow\"\ne5047,2011/06/19,dinner,chinese food,\"Emily, Carter, Kayden, Andrew\"\ne5053,2011/06/20,breakfast,\"eggs, sausages, and bread\",\ne5054,2011/06/20,lunch,tacos,\"Kayden, Carter, Emily, Andrew\"\ne5055,2011/06/20,dinner,sushi,\"Avery, Nevaeh, Eva, Rylee, Kinsley, Olivia, Nora\"\ne5063,2011/06/21,breakfast,cereals,\ne5064,2011/06/21,lunch,a burger,\ne5065,2011/06/21,dinner,chinese food,\"Jackson, Willow, Avery, Benjamin\"\ne5073,2011/06/22,breakfast,\"eggs, sausages, and bread\",\ne5074,2011/06/22,lunch,pasta,\ne5075,2011/06/22,dinner,fish and chips,\ne5082,2011/06/23,breakfast,\"eggs, sausages, and bread\",\ne5083,2011/06/23,lunch,a burger,\"Eva, Hazel\"\ne5084,2011/06/23,dinner,sushi,\ne5090,2011/06/24,breakfast,oatmeal,\ne5091,2011/06/24,lunch,sandwich,\ne5092,2011/06/24,dinner,a burger,\ne5099,2011/06/25,breakfast,peanut-butter-jam,\ne5100,2011/06/25,lunch,steak,\ne5101,2011/06/25,dinner,sandwich,\"Emily, Carter, Andrew\"\ne5108,2011/06/26,breakfast,peanut-butter-jam,\"Lydia, Nora\"\ne5109,2011/06/26,lunch,steak,\ne5110,2011/06/26,dinner,steak,\"Rylee, Eva, Lydia, Kinsley, Layla, Piper, Hazel, Olivia, Avery, Nora, Nevaeh, Piper, Claire\"\ne5116,2011/06/27,breakfast,cereals,\ne5117,2011/06/27,lunch,fish and chips,Carter\ne5118,2011/06/27,dinner,fish and chips,\ne5125,2011/06/28,breakfast,toast and cheese,\ne5126,2011/06/28,lunch,indian food,\"Andrew, Kayden\"\ne5127,2011/06/28,dinner,chinese food,\ne5134,2011/06/29,breakfast,oatmeal,\ne5135,2011/06/29,lunch,pasta,\ne5136,2011/06/29,dinner,indian food,\"Kayden, Emily\"\ne5142,2011/06/30,breakfast,toast and cheese,\ne5143,2011/06/30,lunch,tacos,\ne5144,2011/06/30,dinner,sushi,\"Avery, Layla\"\ne5150,2011/07/01,breakfast,toast and cheese,\ne5151,2011/07/01,lunch,sushi,\ne5152,2011/07/01,dinner,indian food,\ne5158,2011/07/02,breakfast,toast and cheese,\ne5159,2011/07/02,lunch,pasta,\"Kayden, Carter\"\ne5160,2011/07/02,dinner,a burger,\ne5168,2011/07/03,breakfast,cereals,\ne5169,2011/07/03,lunch,tacos,\ne5170,2011/07/03,dinner,fish and chips,\"Hazel, Avery, Lydia\"\ne5177,2011/07/04,breakfast,cereals,\ne5178,2011/07/04,lunch,a burger,\ne5179,2011/07/04,dinner,sandwich,\"Kayden, Carter\"\ne5187,2011/07/05,breakfast,peanut-butter-jam,\ne5188,2011/07/05,lunch,tacos,\ne5189,2011/07/05,dinner,fish and chips,\"Layla, Hazel, Nevaeh, Piper\"\ne5195,2011/07/06,breakfast,oatmeal,\ne5196,2011/07/06,lunch,pasta,\ne5197,2011/07/06,dinner,fish and chips,\ne5204,2011/07/07,breakfast,cereals,Andrew\ne5205,2011/07/07,lunch,chinese food,\"Carter, Andrew, Emily, Kayden\"\ne5206,2011/07/07,dinner,sandwich,\"Willow, Jackson, Avery, Benjamin\"\ne5214,2011/07/08,breakfast,peanut-butter-jam,\ne5215,2011/07/08,lunch,a burger,\ne5216,2011/07/08,dinner,indian food,\ne5221,2011/07/09,breakfast,oatmeal,\ne5222,2011/07/09,lunch,fish and chips,\ne5223,2011/07/09,dinner,a burger,\ne5229,2011/07/10,breakfast,\"eggs, sausages, and bread\",\ne5230,2011/07/10,lunch,tacos,\ne5231,2011/07/10,dinner,steak,\ne5238,2011/07/11,breakfast,oatmeal,\ne5239,2011/07/11,lunch,steak,\ne5240,2011/07/11,dinner,fish and chips,\"Hazel, Layla, Avery, Rylee, Claire, Eva, Piper, Lydia, Nora, Olivia, Kinsley, Nevaeh\"\ne5248,2011/07/12,breakfast,oatmeal,\ne5249,2011/07/12,lunch,a burger,\ne5250,2011/07/12,dinner,steak,\ne5257,2011/07/13,breakfast,\"eggs, sausages, and bread\",\ne5258,2011/07/13,lunch,sushi,\ne5259,2011/07/13,dinner,indian food,\ne5265,2011/07/14,breakfast,oatmeal,\"Carter, Andrew, Kayden\"\ne5266,2011/07/14,lunch,sushi,\ne5267,2011/07/14,dinner,chinese food,Jackson\ne5274,2011/07/15,breakfast,toast and cheese,\"Carter, Kayden, Emily\"\ne5275,2011/07/15,lunch,steak,\"Andrew, Carter\"\ne5276,2011/07/15,dinner,chinese food,\ne5283,2011/07/16,breakfast,pancakes,\"Nevaeh, Layla, Olivia, Avery, Piper\"\ne5284,2011/07/16,lunch,tacos,\"Kayden, Carter, Emily\"\ne5285,2011/07/16,dinner,chinese food,\ne5293,2011/07/17,breakfast,oatmeal,\ne5294,2011/07/17,lunch,steak,\"Kayden, Emily, Carter, Andrew\"\ne5295,2011/07/17,dinner,sandwich,\ne5301,2011/07/18,breakfast,cereals,\"Claire, Layla, Avery, Rylee\"\ne5302,2011/07/18,lunch,steak,\ne5303,2011/07/18,dinner,sandwich,Andrew\ne5311,2011/07/19,breakfast,toast and cheese,\ne5312,2011/07/19,lunch,a burger,\ne5313,2011/07/19,dinner,indian food,\ne5319,2011/07/20,breakfast,\"eggs, sausages, and bread\",\ne5320,2011/07/20,lunch,steak,\ne5321,2011/07/20,dinner,pasta,\"Jackson, Avery\"\ne5328,2011/07/21,breakfast,cereals,Benjamin\ne5329,2011/07/21,lunch,chinese food,\ne5330,2011/07/21,dinner,pasta,\ne5337,2011/07/22,breakfast,cereals,Avery\ne5338,2011/07/22,lunch,chinese food,\ne5339,2011/07/22,dinner,pasta,\"Andrew, Carter\"\ne5346,2011/07/23,breakfast,peanut-butter-jam,\ne5347,2011/07/23,lunch,sandwich,\ne5348,2011/07/23,dinner,fish and chips,\"Kinsley, Avery, Nora, Rylee, Piper, Layla, Nevaeh, Olivia, Lydia, Piper, Eva\"\ne5355,2011/07/24,breakfast,pancakes,\"Piper, Piper, Claire, Avery, Hazel\"\ne5356,2011/07/24,lunch,sandwich,\ne5357,2011/07/24,dinner,tacos,\"Carter, Kayden\"\ne5363,2011/07/25,breakfast,peanut-butter-jam,\ne5364,2011/07/25,lunch,sandwich,\ne5365,2011/07/25,dinner,sandwich,\"Hazel, Nevaeh, Eva\"\ne5373,2011/07/26,breakfast,cereals,\ne5374,2011/07/26,lunch,pasta,\ne5375,2011/07/26,dinner,pasta,\"Jackson, Willow, Benjamin\"\ne5381,2011/07/27,breakfast,cereals,\ne5382,2011/07/27,lunch,chinese food,\"Olivia, Hazel, Eva, Piper, Piper, Nora\"\ne5383,2011/07/27,dinner,sushi,\"Rylee, Lydia, Eva, Hazel, Avery, Layla, Kinsley, Nevaeh, Nora, Piper, Piper, Olivia\"\ne5390,2011/07/28,breakfast,peanut-butter-jam,\ne5391,2011/07/28,lunch,a burger,\ne5392,2011/07/28,dinner,sushi,\ne5398,2011/07/29,breakfast,pancakes,\ne5399,2011/07/29,lunch,fish and chips,\ne5400,2011/07/29,dinner,tacos,\"Willow, Jackson, Avery, Benjamin\"\ne5406,2011/07/30,breakfast,\"eggs, sausages, and bread\",Emily\ne5407,2011/07/30,lunch,fish and chips,\ne5408,2011/07/30,dinner,chinese food,\ne5416,2011/07/31,breakfast,peanut-butter-jam,\ne5417,2011/07/31,lunch,chinese food,\"Claire, Nora, Nevaeh\"\ne5418,2011/07/31,dinner,chinese food,\ne5425,2011/08/01,breakfast,pancakes,\ne5426,2011/08/01,lunch,fish and chips,\ne5427,2011/08/01,dinner,steak,\ne5434,2011/08/02,breakfast,cereals,\ne5435,2011/08/02,lunch,sandwich,\ne5436,2011/08/02,dinner,steak,\"Piper, Claire, Avery\"\ne5443,2011/08/03,breakfast,cereals,\ne5444,2011/08/03,lunch,sandwich,\ne5445,2011/08/03,dinner,a burger,\"Nevaeh, Lydia, Nora, Piper, Eva\"\ne5452,2011/08/04,breakfast,pancakes,\ne5453,2011/08/04,lunch,chinese food,\ne5454,2011/08/04,dinner,chinese food,\"Emily, Carter, Andrew, Kayden\"\ne5461,2011/08/05,breakfast,toast and cheese,\"Claire, Lydia, Kinsley, Avery, Nevaeh, Hazel, Eva, Nora, Rylee, Piper\"\ne5462,2011/08/05,lunch,fish and chips,\ne5463,2011/08/05,dinner,indian food,\"Carter, Emily, Andrew\"\ne5471,2011/08/06,breakfast,pancakes,\ne5472,2011/08/06,lunch,sushi,\"Rylee, Lydia, Claire, Layla, Nevaeh, Olivia, Avery, Piper\"\ne5473,2011/08/06,dinner,sushi,\ne5479,2011/08/07,breakfast,peanut-butter-jam,\"Avery, Hazel, Rylee, Layla, Nevaeh, Lydia, Piper, Eva, Kinsley, Claire, Nora\"\ne5480,2011/08/07,lunch,sushi,\ne5481,2011/08/07,dinner,fish and chips,\"Andrew, Kayden, Carter\"\ne5488,2011/08/08,breakfast,pancakes,\ne5489,2011/08/08,lunch,indian food,\"Olivia, Claire, Eva\"\ne5490,2011/08/08,dinner,sandwich,\ne5497,2011/08/09,breakfast,toast and cheese,\ne5498,2011/08/09,lunch,fish and chips,\ne5499,2011/08/09,dinner,sandwich,\"Kayden, Carter, Andrew, Emily\"\ne5507,2011/08/10,breakfast,oatmeal,\ne5508,2011/08/10,lunch,chinese food,\ne5509,2011/08/10,dinner,pasta,\ne5516,2011/08/11,breakfast,oatmeal,\ne5517,2011/08/11,lunch,a burger,\"Kayden, Andrew, Carter\"\ne5518,2011/08/11,dinner,sandwich,\ne5525,2011/08/12,breakfast,oatmeal,\ne5526,2011/08/12,lunch,a burger,\"Carter, Andrew, Kayden, Emily\"\ne5527,2011/08/12,dinner,tacos,\ne5532,2011/08/13,breakfast,pancakes,\ne5533,2011/08/13,lunch,tacos,\ne5534,2011/08/13,dinner,tacos,\ne5541,2011/08/14,breakfast,oatmeal,\"Jackson, Benjamin, Avery, Willow\"\ne5542,2011/08/14,lunch,indian food,\ne5543,2011/08/14,dinner,fish and chips,\ne5550,2011/08/15,breakfast,toast and cheese,\ne5551,2011/08/15,lunch,chinese food,Carter\ne5552,2011/08/15,dinner,sandwich,\ne5558,2011/08/16,breakfast,pancakes,\ne5559,2011/08/16,lunch,a burger,\ne5560,2011/08/16,dinner,indian food,\ne5568,2011/08/17,breakfast,pancakes,Kayden\ne5569,2011/08/17,lunch,sushi,\ne5570,2011/08/17,dinner,indian food,\ne5577,2011/08/18,breakfast,oatmeal,\"Kayden, Carter, Emily, Andrew\"\ne5578,2011/08/18,lunch,chinese food,\ne5579,2011/08/18,dinner,chinese food,\ne5585,2011/08/19,breakfast,toast and cheese,\"Jackson, Benjamin, Willow, Avery\"\ne5586,2011/08/19,lunch,sandwich,\ne5587,2011/08/19,dinner,chinese food,\ne5594,2011/08/20,breakfast,cereals,\"Emily, Andrew\"\ne5595,2011/08/20,lunch,sandwich,\"Jackson, Avery\"\ne5596,2011/08/20,dinner,a burger,\"Lydia, Nora, Piper, Avery, Nevaeh, Piper, Rylee, Kinsley, Olivia, Hazel\"\ne5602,2011/08/21,breakfast,\"eggs, sausages, and bread\",\ne5603,2011/08/21,lunch,pasta,\"Benjamin, Avery, Jackson\"\ne5604,2011/08/21,dinner,tacos,\ne5611,2011/08/22,breakfast,toast and cheese,\"Avery, Olivia, Layla, Piper\"\ne5612,2011/08/22,lunch,indian food,\ne5613,2011/08/22,dinner,steak,\"Emily, Carter, Kayden, Andrew\"\ne5619,2011/08/23,breakfast,\"eggs, sausages, and bread\",Carter\ne5620,2011/08/23,lunch,a burger,\ne5621,2011/08/23,dinner,tacos,\"Jackson, Willow, Avery\"\ne5628,2011/08/24,breakfast,cereals,\ne5629,2011/08/24,lunch,fish and chips,\ne5630,2011/08/24,dinner,fish and chips,\ne5637,2011/08/25,breakfast,pancakes,\"Layla, Claire, Nevaeh, Piper, Hazel, Piper, Eva, Kinsley, Lydia, Rylee, Avery, Olivia, Nora\"\ne5638,2011/08/25,lunch,chinese food,Andrew\ne5639,2011/08/25,dinner,a burger,\ne5646,2011/08/26,breakfast,pancakes,\"Emily, Kayden\"\ne5647,2011/08/26,lunch,a burger,\ne5648,2011/08/26,dinner,tacos,\ne5654,2011/08/27,breakfast,peanut-butter-jam,\ne5655,2011/08/27,lunch,pasta,\ne5656,2011/08/27,dinner,fish and chips,\"Kinsley, Hazel, Nevaeh, Piper, Rylee, Olivia, Lydia, Nora, Avery, Piper, Claire, Eva\"\ne5664,2011/08/28,breakfast,toast and cheese,\ne5665,2011/08/28,lunch,sandwich,\"Andrew, Carter\"\ne5666,2011/08/28,dinner,pasta,\"Kinsley, Hazel, Avery, Nora, Rylee, Layla\"\ne5673,2011/08/29,breakfast,\"eggs, sausages, and bread\",\"Emily, Andrew, Carter, Kayden\"\ne5674,2011/08/29,lunch,sushi,Kayden\ne5675,2011/08/29,dinner,indian food,\"Claire, Nevaeh, Hazel, Rylee, Olivia, Nora, Piper, Piper, Eva, Kinsley, Avery, Layla\"\ne5681,2011/08/30,breakfast,\"eggs, sausages, and bread\",\ne5682,2011/08/30,lunch,sandwich,\ne5683,2011/08/30,dinner,tacos,\ne5689,2011/08/31,breakfast,peanut-butter-jam,Benjamin\ne5690,2011/08/31,lunch,chinese food,\ne5691,2011/08/31,dinner,steak,\ne5698,2011/09/01,breakfast,cereals,\"Kayden, Carter, Andrew\"\ne5699,2011/09/01,lunch,sushi,\ne5700,2011/09/01,dinner,sandwich,\ne5707,2011/09/02,breakfast,pancakes,\ne5708,2011/09/02,lunch,tacos,\ne5709,2011/09/02,dinner,sushi,\ne5715,2011/09/03,breakfast,peanut-butter-jam,Kayden\ne5716,2011/09/03,lunch,indian food,\ne5717,2011/09/03,dinner,chinese food,\ne5723,2011/09/04,breakfast,peanut-butter-jam,\ne5724,2011/09/04,lunch,tacos,\"Andrew, Emily, Kayden, Carter\"\ne5725,2011/09/04,dinner,fish and chips,\"Carter, Emily, Andrew\"\ne5733,2011/09/05,breakfast,oatmeal,\"Emily, Kayden, Carter\"\ne5734,2011/09/05,lunch,fish and chips,\ne5735,2011/09/05,dinner,fish and chips,\ne5743,2011/09/06,breakfast,\"eggs, sausages, and bread\",\ne5744,2011/09/06,lunch,chinese food,\ne5745,2011/09/06,dinner,chinese food,\"Piper, Lydia, Eva, Nevaeh, Nora, Layla, Rylee, Claire, Hazel, Piper, Olivia, Avery\"\ne5750,2011/09/07,breakfast,oatmeal,\ne5751,2011/09/07,lunch,sandwich,\"Jackson, Benjamin\"\ne5752,2011/09/07,dinner,a burger,\ne5759,2011/09/08,breakfast,pancakes,\ne5760,2011/09/08,lunch,fish and chips,\"Rylee, Claire, Piper, Lydia, Hazel, Avery, Nevaeh\"\ne5761,2011/09/08,dinner,indian food,\"Rylee, Nevaeh, Hazel, Nora\"\ne5767,2011/09/09,breakfast,peanut-butter-jam,\ne5768,2011/09/09,lunch,indian food,\"Hazel, Piper, Layla, Avery, Kinsley, Piper\"\ne5769,2011/09/09,dinner,indian food,\ne5775,2011/09/10,breakfast,peanut-butter-jam,\ne5776,2011/09/10,lunch,sushi,Andrew\ne5777,2011/09/10,dinner,sushi,\ne5784,2011/09/11,breakfast,pancakes,\ne5785,2011/09/11,lunch,indian food,\ne5786,2011/09/11,dinner,sushi,\"Piper, Layla, Hazel, Piper, Claire, Olivia\"\ne5794,2011/09/12,breakfast,toast and cheese,\"Kinsley, Nora, Piper, Avery\"\ne5795,2011/09/12,lunch,pasta,\ne5796,2011/09/12,dinner,indian food,Emily\ne5803,2011/09/13,breakfast,cereals,\"Avery, Willow, Benjamin\"\ne5804,2011/09/13,lunch,sandwich,\ne5805,2011/09/13,dinner,steak,\"Kayden, Andrew\"\ne5812,2011/09/14,breakfast,\"eggs, sausages, and bread\",\ne5813,2011/09/14,lunch,a burger,\ne5814,2011/09/14,dinner,tacos,\ne5821,2011/09/15,breakfast,cereals,\ne5822,2011/09/15,lunch,a burger,\ne5823,2011/09/15,dinner,tacos,\"Lydia, Piper, Piper, Avery, Claire\"\ne5830,2011/09/16,breakfast,toast and cheese,\"Benjamin, Jackson, Avery, Willow\"\ne5831,2011/09/16,lunch,a burger,\ne5832,2011/09/16,dinner,sushi,\"Carter, Andrew, Emily\"\ne5839,2011/09/17,breakfast,pancakes,\"Carter, Emily\"\ne5840,2011/09/17,lunch,a burger,\"Kayden, Emily\"\ne5841,2011/09/17,dinner,chinese food,\ne5848,2011/09/18,breakfast,toast and cheese,\ne5849,2011/09/18,lunch,a burger,\ne5850,2011/09/18,dinner,sushi,\ne5856,2011/09/19,breakfast,peanut-butter-jam,\"Emily, Kayden, Carter, Andrew\"\ne5857,2011/09/19,lunch,a burger,\"Rylee, Claire, Nevaeh, Eva, Lydia, Piper, Avery, Olivia\"\ne5858,2011/09/19,dinner,steak,\ne5864,2011/09/20,breakfast,pancakes,\ne5865,2011/09/20,lunch,chinese food,\ne5866,2011/09/20,dinner,sushi,\ne5871,2011/09/21,breakfast,cereals,\"Claire, Olivia, Nora, Rylee, Eva, Piper, Kinsley, Hazel, Piper, Layla\"\ne5872,2011/09/21,lunch,chinese food,\ne5873,2011/09/21,dinner,tacos,\"Nora, Piper, Piper, Avery, Nevaeh, Eva, Hazel, Olivia, Kinsley, Layla\"\ne5881,2011/09/22,breakfast,toast and cheese,\ne5882,2011/09/22,lunch,sushi,\ne5883,2011/09/22,dinner,tacos,\ne5891,2011/09/23,breakfast,cereals,\"Claire, Piper, Hazel, Kinsley, Olivia, Lydia, Eva, Avery\"\ne5892,2011/09/23,lunch,a burger,Avery\ne5893,2011/09/23,dinner,sushi,\ne5900,2011/09/24,breakfast,peanut-butter-jam,\ne5901,2011/09/24,lunch,fish and chips,\ne5902,2011/09/24,dinner,sandwich,\"Andrew, Carter\"\ne5909,2011/09/25,breakfast,oatmeal,\"Avery, Benjamin, Willow\"\ne5910,2011/09/25,lunch,fish and chips,\ne5911,2011/09/25,dinner,steak,\ne5917,2011/09/26,breakfast,pancakes,\ne5918,2011/09/26,lunch,chinese food,\"Olivia, Rylee, Lydia, Claire\"\ne5919,2011/09/26,dinner,sushi,\ne5925,2011/09/27,breakfast,peanut-butter-jam,\ne5926,2011/09/27,lunch,steak,\ne5927,2011/09/27,dinner,pasta,\ne5934,2011/09/28,breakfast,\"eggs, sausages, and bread\",\ne5935,2011/09/28,lunch,tacos,\ne5936,2011/09/28,dinner,sandwich,\ne5944,2011/09/29,breakfast,peanut-butter-jam,\ne5945,2011/09/29,lunch,a burger,\"Avery, Willow, Benjamin\"\ne5946,2011/09/29,dinner,pasta,\ne5952,2011/09/30,breakfast,pancakes,\ne5953,2011/09/30,lunch,sandwich,\ne5954,2011/09/30,dinner,pasta,\ne5962,2011/10/01,breakfast,oatmeal,\ne5963,2011/10/01,lunch,sushi,\"Eva, Claire, Kinsley, Avery, Lydia, Piper, Piper, Rylee, Layla\"\ne5964,2011/10/01,dinner,indian food,\ne5972,2011/10/02,breakfast,cereals,\ne5973,2011/10/02,lunch,a burger,\"Carter, Andrew, Emily\"\ne5974,2011/10/02,dinner,steak,\ne5980,2011/10/03,breakfast,\"eggs, sausages, and bread\",\ne5981,2011/10/03,lunch,chinese food,\ne5982,2011/10/03,dinner,a burger,\"Piper, Avery, Olivia\"\ne5988,2011/10/04,breakfast,\"eggs, sausages, and bread\",\ne5989,2011/10/04,lunch,fish and chips,\"Willow, Jackson\"\ne5990,2011/10/04,dinner,sushi,\ne5997,2011/10/05,breakfast,oatmeal,\ne5998,2011/10/05,lunch,sandwich,Kayden\ne5999,2011/10/05,dinner,tacos,Jackson\ne6004,2011/10/06,breakfast,toast and cheese,\ne6005,2011/10/06,lunch,fish and chips,\ne6006,2011/10/06,dinner,steak,\"Piper, Layla, Rylee, Kinsley\"\ne6013,2011/10/07,breakfast,peanut-butter-jam,\ne6014,2011/10/07,lunch,sushi,\ne6015,2011/10/07,dinner,steak,\"Emily, Andrew, Carter\"\ne6020,2011/10/08,breakfast,cereals,\"Claire, Kinsley\"\ne6021,2011/10/08,lunch,pasta,\ne6022,2011/10/08,dinner,pasta,\ne6028,2011/10/09,breakfast,\"eggs, sausages, and bread\",\ne6029,2011/10/09,lunch,chinese food,\"Willow, Benjamin\"\ne6030,2011/10/09,dinner,chinese food,\ne6037,2011/10/10,breakfast,toast and cheese,\ne6038,2011/10/10,lunch,steak,\ne6039,2011/10/10,dinner,tacos,\"Rylee, Layla, Avery, Nora, Olivia, Lydia, Eva, Kinsley, Piper\"\ne6045,2011/10/11,breakfast,cereals,\ne6046,2011/10/11,lunch,sandwich,\ne6047,2011/10/11,dinner,indian food,\ne6054,2011/10/12,breakfast,cereals,\ne6055,2011/10/12,lunch,steak,\ne6056,2011/10/12,dinner,fish and chips,\"Kayden, Emily, Carter, Andrew\"\ne6062,2011/10/13,breakfast,pancakes,\ne6063,2011/10/13,lunch,a burger,\"Emily, Andrew\"\ne6064,2011/10/13,dinner,a burger,\"Lydia, Eva\"\ne6071,2011/10/14,breakfast,\"eggs, sausages, and bread\",\ne6072,2011/10/14,lunch,sushi,\ne6073,2011/10/14,dinner,steak,\ne6079,2011/10/15,breakfast,peanut-butter-jam,\ne6080,2011/10/15,lunch,chinese food,\ne6081,2011/10/15,dinner,pasta,\ne6088,2011/10/16,breakfast,peanut-butter-jam,\"Kayden, Carter, Emily, Andrew\"\ne6089,2011/10/16,lunch,a burger,\ne6090,2011/10/16,dinner,tacos,\ne6097,2011/10/17,breakfast,cereals,\"Emily, Carter, Kayden, Andrew\"\ne6098,2011/10/17,lunch,sandwich,\ne6099,2011/10/17,dinner,pasta,\ne6106,2011/10/18,breakfast,oatmeal,\ne6107,2011/10/18,lunch,sushi,\ne6108,2011/10/18,dinner,indian food,\"Claire, Layla, Lydia, Nevaeh, Nora, Piper, Piper, Olivia\"\ne6115,2011/10/19,breakfast,pancakes,\ne6116,2011/10/19,lunch,chinese food,\ne6117,2011/10/19,dinner,sandwich,\ne6124,2011/10/20,breakfast,oatmeal,\ne6125,2011/10/20,lunch,chinese food,\"Hazel, Olivia, Piper, Piper, Layla, Lydia, Nora, Claire, Nevaeh, Kinsley\"\ne6126,2011/10/20,dinner,sushi,\"Andrew, Emily, Kayden\"\ne6133,2011/10/21,breakfast,cereals,\"Andrew, Carter\"\ne6134,2011/10/21,lunch,sushi,\ne6135,2011/10/21,dinner,indian food,\"Piper, Kinsley, Hazel, Lydia, Olivia, Rylee, Layla, Nevaeh, Nora, Claire, Eva, Piper, Avery\"\ne6140,2011/10/22,breakfast,toast and cheese,\ne6141,2011/10/22,lunch,pasta,\"Kayden, Andrew\"\ne6142,2011/10/22,dinner,pasta,\ne6148,2011/10/23,breakfast,\"eggs, sausages, and bread\",\ne6149,2011/10/23,lunch,tacos,\"Andrew, Emily, Carter\"\ne6150,2011/10/23,dinner,chinese food,\ne6157,2011/10/24,breakfast,cereals,\ne6158,2011/10/24,lunch,steak,\ne6159,2011/10/24,dinner,chinese food,\"Piper, Rylee\"\ne6166,2011/10/25,breakfast,oatmeal,\"Benjamin, Jackson, Avery, Willow\"\ne6167,2011/10/25,lunch,fish and chips,\ne6168,2011/10/25,dinner,steak,\ne6174,2011/10/26,breakfast,pancakes,\ne6175,2011/10/26,lunch,a burger,\"Carter, Kayden, Andrew\"\ne6176,2011/10/26,dinner,pasta,Kayden\ne6183,2011/10/27,breakfast,cereals,\ne6184,2011/10/27,lunch,sandwich,Carter\ne6185,2011/10/27,dinner,sandwich,\ne6191,2011/10/28,breakfast,\"eggs, sausages, and bread\",\ne6192,2011/10/28,lunch,sandwich,\ne6193,2011/10/28,dinner,indian food,\ne6201,2011/10/29,breakfast,cereals,\ne6202,2011/10/29,lunch,sandwich,\ne6203,2011/10/29,dinner,fish and chips,\ne6210,2011/10/30,breakfast,toast and cheese,Avery\ne6211,2011/10/30,lunch,indian food,Kayden\ne6212,2011/10/30,dinner,sushi,\"Carter, Kayden, Emily\"\ne6220,2011/10/31,breakfast,pancakes,\"Emily, Andrew, Kayden, Carter\"\ne6221,2011/10/31,lunch,sushi,\ne6222,2011/10/31,dinner,chinese food,\ne6230,2011/11/01,breakfast,\"eggs, sausages, and bread\",\ne6231,2011/11/01,lunch,steak,\ne6232,2011/11/01,dinner,a burger,\ne6240,2011/11/02,breakfast,pancakes,\"Olivia, Layla, Lydia, Piper, Piper\"\ne6241,2011/11/02,lunch,steak,\ne6242,2011/11/02,dinner,chinese food,\ne6248,2011/11/03,breakfast,toast and cheese,\"Carter, Emily\"\ne6249,2011/11/03,lunch,a burger,\ne6250,2011/11/03,dinner,pasta,\"Kinsley, Eva, Avery, Piper, Rylee, Piper, Nevaeh\"\ne6257,2011/11/04,breakfast,peanut-butter-jam,\ne6258,2011/11/04,lunch,tacos,\ne6259,2011/11/04,dinner,chinese food,\ne6267,2011/11/05,breakfast,pancakes,\ne6268,2011/11/05,lunch,indian food,\ne6269,2011/11/05,dinner,sushi,\ne6275,2011/11/06,breakfast,pancakes,\ne6276,2011/11/06,lunch,sandwich,\ne6277,2011/11/06,dinner,sandwich,\"Kayden, Emily, Andrew\"\ne6284,2011/11/07,breakfast,pancakes,\ne6285,2011/11/07,lunch,sandwich,\"Carter, Emily, Kayden, Andrew\"\ne6286,2011/11/07,dinner,tacos,\ne6292,2011/11/08,breakfast,cereals,\ne6293,2011/11/08,lunch,chinese food,\ne6294,2011/11/08,dinner,a burger,\ne6299,2011/11/09,breakfast,pancakes,\ne6300,2011/11/09,lunch,sushi,\ne6301,2011/11/09,dinner,pasta,\ne6308,2011/11/10,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew, Emily\"\ne6309,2011/11/10,lunch,chinese food,\ne6310,2011/11/10,dinner,chinese food,\ne6317,2011/11/11,breakfast,toast and cheese,\"Kayden, Carter, Emily, Andrew\"\ne6318,2011/11/11,lunch,chinese food,\ne6319,2011/11/11,dinner,sushi,\ne6326,2011/11/12,breakfast,\"eggs, sausages, and bread\",\ne6327,2011/11/12,lunch,pasta,\ne6328,2011/11/12,dinner,steak,\"Nora, Nevaeh, Kinsley, Hazel, Eva, Lydia, Piper, Piper, Olivia\"\ne6336,2011/11/13,breakfast,toast and cheese,\"Kayden, Emily, Carter, Andrew\"\ne6337,2011/11/13,lunch,a burger,\"Andrew, Kayden, Emily\"\ne6338,2011/11/13,dinner,fish and chips,\"Andrew, Emily, Kayden, Carter\"\ne6345,2011/11/14,breakfast,cereals,\ne6346,2011/11/14,lunch,sushi,\"Willow, Avery\"\ne6347,2011/11/14,dinner,steak,\ne6353,2011/11/15,breakfast,cereals,\ne6354,2011/11/15,lunch,chinese food,\ne6355,2011/11/15,dinner,fish and chips,\ne6362,2011/11/16,breakfast,\"eggs, sausages, and bread\",\"Eva, Lydia, Piper\"\ne6363,2011/11/16,lunch,chinese food,\"Kayden, Andrew, Carter, Emily\"\ne6364,2011/11/16,dinner,steak,\ne6370,2011/11/17,breakfast,peanut-butter-jam,\ne6371,2011/11/17,lunch,chinese food,\"Willow, Benjamin, Avery, Jackson\"\ne6372,2011/11/17,dinner,sushi,\ne6379,2011/11/18,breakfast,\"eggs, sausages, and bread\",\ne6380,2011/11/18,lunch,steak,\"Benjamin, Avery, Jackson, Willow\"\ne6381,2011/11/18,dinner,pasta,\ne6387,2011/11/19,breakfast,oatmeal,\ne6388,2011/11/19,lunch,steak,\ne6389,2011/11/19,dinner,indian food,\ne6395,2011/11/20,breakfast,cereals,Olivia\ne6396,2011/11/20,lunch,sushi,\ne6397,2011/11/20,dinner,chinese food,\"Carter, Andrew, Kayden, Emily\"\ne6404,2011/11/21,breakfast,toast and cheese,\ne6405,2011/11/21,lunch,indian food,\ne6406,2011/11/21,dinner,pasta,Kayden\ne6412,2011/11/22,breakfast,\"eggs, sausages, and bread\",\ne6413,2011/11/22,lunch,indian food,\"Benjamin, Avery, Willow\"\ne6414,2011/11/22,dinner,a burger,\ne6421,2011/11/23,breakfast,pancakes,\ne6422,2011/11/23,lunch,tacos,\ne6423,2011/11/23,dinner,sushi,\"Kayden, Carter\"\ne6430,2011/11/24,breakfast,pancakes,\"Avery, Jackson\"\ne6431,2011/11/24,lunch,a burger,\ne6432,2011/11/24,dinner,a burger,\ne6439,2011/11/25,breakfast,oatmeal,\ne6440,2011/11/25,lunch,sandwich,\ne6441,2011/11/25,dinner,a burger,\"Avery, Jackson\"\ne6449,2011/11/26,breakfast,oatmeal,\ne6450,2011/11/26,lunch,tacos,\ne6451,2011/11/26,dinner,a burger,\"Piper, Rylee, Nevaeh, Olivia, Piper, Kinsley, Nora, Claire, Eva, Layla, Avery, Hazel\"\ne6457,2011/11/27,breakfast,peanut-butter-jam,\ne6458,2011/11/27,lunch,sandwich,\ne6459,2011/11/27,dinner,sandwich,\ne6465,2011/11/28,breakfast,\"eggs, sausages, and bread\",\ne6466,2011/11/28,lunch,a burger,\"Avery, Hazel, Claire, Olivia, Nevaeh, Layla, Piper, Rylee, Eva, Nora, Kinsley\"\ne6467,2011/11/28,dinner,chinese food,\"Kayden, Andrew\"\ne6475,2011/11/29,breakfast,cereals,\"Claire, Nevaeh, Kinsley, Eva, Hazel, Nora, Rylee, Avery, Lydia, Piper\"\ne6476,2011/11/29,lunch,sandwich,\"Andrew, Carter, Kayden\"\ne6477,2011/11/29,dinner,a burger,\ne6485,2011/11/30,breakfast,toast and cheese,\ne6486,2011/11/30,lunch,sushi,\ne6487,2011/11/30,dinner,sushi,\ne6495,2011/12/01,breakfast,peanut-butter-jam,\"Avery, Jackson\"\ne6496,2011/12/01,lunch,indian food,\ne6497,2011/12/01,dinner,chinese food,\ne6503,2011/12/02,breakfast,cereals,\"Rylee, Nevaeh, Eva, Piper, Nora, Kinsley\"\ne6504,2011/12/02,lunch,tacos,\ne6505,2011/12/02,dinner,pasta,\ne6512,2011/12/03,breakfast,cereals,\ne6513,2011/12/03,lunch,chinese food,\ne6514,2011/12/03,dinner,a burger,Andrew\ne6521,2011/12/04,breakfast,cereals,\ne6522,2011/12/04,lunch,pasta,\ne6523,2011/12/04,dinner,sushi,\"Avery, Willow, Benjamin\"\ne6529,2011/12/05,breakfast,oatmeal,\"Andrew, Emily, Carter\"\ne6530,2011/12/05,lunch,sandwich,\ne6531,2011/12/05,dinner,tacos,\ne6538,2011/12/06,breakfast,cereals,\ne6539,2011/12/06,lunch,indian food,\"Kayden, Andrew\"\ne6540,2011/12/06,dinner,fish and chips,\"Carter, Emily, Kayden\"\ne6548,2011/12/07,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden, Emily\"\ne6549,2011/12/07,lunch,fish and chips,\ne6550,2011/12/07,dinner,pasta,\ne6556,2011/12/08,breakfast,cereals,\"Piper, Piper, Eva, Nora, Nevaeh, Kinsley\"\ne6557,2011/12/08,lunch,sandwich,\ne6558,2011/12/08,dinner,tacos,\"Kayden, Andrew, Carter\"\ne6565,2011/12/09,breakfast,pancakes,\ne6566,2011/12/09,lunch,chinese food,\"Andrew, Emily\"\ne6567,2011/12/09,dinner,indian food,\ne6574,2011/12/10,breakfast,pancakes,\ne6575,2011/12/10,lunch,sandwich,\"Benjamin, Willow, Avery\"\ne6576,2011/12/10,dinner,a burger,\"Kinsley, Eva, Lydia\"\ne6582,2011/12/11,breakfast,\"eggs, sausages, and bread\",\ne6583,2011/12/11,lunch,steak,Layla\ne6584,2011/12/11,dinner,steak,\ne6591,2011/12/12,breakfast,pancakes,\ne6592,2011/12/12,lunch,sandwich,Andrew\ne6593,2011/12/12,dinner,steak,\ne6598,2011/12/13,breakfast,pancakes,\ne6599,2011/12/13,lunch,chinese food,\ne6600,2011/12/13,dinner,a burger,\ne6607,2011/12/14,breakfast,peanut-butter-jam,\"Avery, Benjamin, Jackson, Willow\"\ne6608,2011/12/14,lunch,fish and chips,\ne6609,2011/12/14,dinner,chinese food,\ne6617,2011/12/15,breakfast,peanut-butter-jam,\ne6618,2011/12/15,lunch,fish and chips,\ne6619,2011/12/15,dinner,steak,Piper\ne6626,2011/12/16,breakfast,peanut-butter-jam,\"Avery, Willow, Benjamin\"\ne6627,2011/12/16,lunch,indian food,\ne6628,2011/12/16,dinner,chinese food,\ne6635,2011/12/17,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden\"\ne6636,2011/12/17,lunch,a burger,\ne6637,2011/12/17,dinner,sandwich,\"Carter, Andrew, Kayden\"\ne6644,2011/12/18,breakfast,peanut-butter-jam,\"Carter, Kayden\"\ne6645,2011/12/18,lunch,fish and chips,Carter\ne6646,2011/12/18,dinner,tacos,\ne6652,2011/12/19,breakfast,oatmeal,\"Kayden, Emily\"\ne6653,2011/12/19,lunch,tacos,\"Emily, Andrew, Carter\"\ne6654,2011/12/19,dinner,chinese food,Andrew\ne6661,2011/12/20,breakfast,cereals,\"Jackson, Avery, Willow, Benjamin\"\ne6662,2011/12/20,lunch,sandwich,\"Kayden, Carter\"\ne6663,2011/12/20,dinner,tacos,Carter\ne6670,2011/12/21,breakfast,cereals,\ne6671,2011/12/21,lunch,fish and chips,\ne6672,2011/12/21,dinner,steak,\"Andrew, Emily, Carter, Kayden\"\ne6678,2011/12/22,breakfast,toast and cheese,\ne6679,2011/12/22,lunch,pasta,\ne6680,2011/12/22,dinner,a burger,\ne6687,2011/12/23,breakfast,toast and cheese,\ne6688,2011/12/23,lunch,tacos,\ne6689,2011/12/23,dinner,tacos,\ne6695,2011/12/24,breakfast,pancakes,\"Olivia, Eva, Avery, Layla, Piper, Lydia, Rylee, Piper\"\ne6696,2011/12/24,lunch,fish and chips,\ne6697,2011/12/24,dinner,fish and chips,\ne6703,2011/12/25,breakfast,\"eggs, sausages, and bread\",\ne6704,2011/12/25,lunch,sushi,\ne6705,2011/12/25,dinner,tacos,\ne6711,2011/12/26,breakfast,\"eggs, sausages, and bread\",\ne6712,2011/12/26,lunch,steak,\"Emily, Carter\"\ne6713,2011/12/26,dinner,fish and chips,Carter\ne6720,2011/12/27,breakfast,toast and cheese,\ne6721,2011/12/27,lunch,sushi,\ne6722,2011/12/27,dinner,indian food,\ne6728,2011/12/28,breakfast,toast and cheese,\"Claire, Avery, Nevaeh\"\ne6729,2011/12/28,lunch,sushi,\ne6730,2011/12/28,dinner,a burger,\ne6737,2011/12/29,breakfast,toast and cheese,\ne6738,2011/12/29,lunch,pasta,\ne6739,2011/12/29,dinner,steak,\"Willow, Benjamin, Jackson, Avery\"\ne6746,2011/12/30,breakfast,toast and cheese,\ne6747,2011/12/30,lunch,pasta,\ne6748,2011/12/30,dinner,chinese food,Andrew\ne6755,2011/12/31,breakfast,peanut-butter-jam,\"Jackson, Willow, Benjamin, Avery\"\ne6756,2011/12/31,lunch,steak,\"Emily, Kayden, Carter, Andrew\"\ne6757,2011/12/31,dinner,steak,\ne6960,2012/01/01,breakfast,toast and cheese,\"Kayden, Emily, Carter, Andrew\"\ne6961,2012/01/01,lunch,sushi,\ne6962,2012/01/01,dinner,chinese food,\"Carter, Andrew, Kayden, Emily\"\ne6968,2012/01/02,breakfast,\"eggs, sausages, and bread\",\ne6969,2012/01/02,lunch,chinese food,\"Claire, Hazel, Nevaeh\"\ne6970,2012/01/02,dinner,steak,\ne6978,2012/01/03,breakfast,\"eggs, sausages, and bread\",\ne6979,2012/01/03,lunch,chinese food,\ne6980,2012/01/03,dinner,pasta,\ne6988,2012/01/04,breakfast,pancakes,\"Benjamin, Avery\"\ne6989,2012/01/04,lunch,sushi,\"Kinsley, Piper, Piper, Avery, Nora, Layla, Nevaeh, Claire, Eva, Olivia, Hazel\"\ne6990,2012/01/04,dinner,steak,\ne6996,2012/01/05,breakfast,oatmeal,\"Nora, Nevaeh, Olivia, Kinsley, Claire, Rylee, Layla, Eva, Piper, Lydia, Hazel, Avery\"\ne6997,2012/01/05,lunch,sushi,\ne6998,2012/01/05,dinner,sushi,\ne7005,2012/01/06,breakfast,pancakes,\ne7006,2012/01/06,lunch,fish and chips,\ne7007,2012/01/06,dinner,chinese food,\ne7014,2012/01/07,breakfast,cereals,\"Olivia, Piper, Claire, Kinsley, Nora, Avery\"\ne7015,2012/01/07,lunch,tacos,\ne7016,2012/01/07,dinner,steak,\ne7024,2012/01/08,breakfast,cereals,\ne7025,2012/01/08,lunch,fish and chips,\"Emily, Carter, Andrew, Kayden\"\ne7026,2012/01/08,dinner,steak,\ne7034,2012/01/09,breakfast,\"eggs, sausages, and bread\",\"Nora, Olivia, Rylee, Piper, Nevaeh, Piper\"\ne7035,2012/01/09,lunch,pasta,\ne7036,2012/01/09,dinner,a burger,\"Andrew, Emily, Kayden\"\ne7043,2012/01/10,breakfast,pancakes,\"Carter, Emily, Kayden, Andrew\"\ne7044,2012/01/10,lunch,chinese food,\"Andrew, Carter\"\ne7045,2012/01/10,dinner,sushi,\ne7052,2012/01/11,breakfast,oatmeal,\ne7053,2012/01/11,lunch,sandwich,\"Andrew, Kayden, Emily, Carter\"\ne7054,2012/01/11,dinner,sandwich,\ne7060,2012/01/12,breakfast,cereals,\"Benjamin, Avery\"\ne7061,2012/01/12,lunch,sandwich,\"Jackson, Avery\"\ne7062,2012/01/12,dinner,sandwich,\"Rylee, Claire, Piper, Nora, Eva, Nevaeh, Lydia\"\ne7068,2012/01/13,breakfast,pancakes,\ne7069,2012/01/13,lunch,sandwich,\"Carter, Kayden, Andrew\"\ne7070,2012/01/13,dinner,a burger,\ne7077,2012/01/14,breakfast,oatmeal,\ne7078,2012/01/14,lunch,steak,\"Kayden, Emily, Andrew\"\ne7079,2012/01/14,dinner,tacos,\ne7085,2012/01/15,breakfast,\"eggs, sausages, and bread\",\"Piper, Piper, Olivia, Avery, Layla, Lydia, Rylee, Kinsley, Claire\"\ne7086,2012/01/15,lunch,sushi,\ne7087,2012/01/15,dinner,pasta,\ne7093,2012/01/16,breakfast,toast and cheese,\ne7094,2012/01/16,lunch,sandwich,\"Olivia, Piper, Nora\"\ne7095,2012/01/16,dinner,tacos,\ne7102,2012/01/17,breakfast,pancakes,\ne7103,2012/01/17,lunch,fish and chips,Willow\ne7104,2012/01/17,dinner,pasta,\"Kayden, Emily\"\ne7110,2012/01/18,breakfast,toast and cheese,\"Andrew, Emily, Carter, Kayden\"\ne7111,2012/01/18,lunch,chinese food,\ne7112,2012/01/18,dinner,indian food,\"Emily, Kayden, Andrew\"\ne7120,2012/01/19,breakfast,oatmeal,\"Willow, Benjamin, Avery, Jackson\"\ne7121,2012/01/19,lunch,fish and chips,\"Emily, Carter, Andrew\"\ne7122,2012/01/19,dinner,indian food,\"Emily, Kayden\"\ne7129,2012/01/20,breakfast,pancakes,Kayden\ne7130,2012/01/20,lunch,a burger,Emily\ne7131,2012/01/20,dinner,indian food,\ne7137,2012/01/21,breakfast,\"eggs, sausages, and bread\",\"Nora, Hazel, Claire\"\ne7138,2012/01/21,lunch,pasta,Avery\ne7139,2012/01/21,dinner,a burger,\ne7147,2012/01/22,breakfast,toast and cheese,\"Avery, Willow\"\ne7148,2012/01/22,lunch,fish and chips,\"Andrew, Emily\"\ne7149,2012/01/22,dinner,a burger,\ne7156,2012/01/23,breakfast,oatmeal,\"Kayden, Emily, Carter\"\ne7157,2012/01/23,lunch,pasta,\ne7158,2012/01/23,dinner,tacos,\ne7166,2012/01/24,breakfast,peanut-butter-jam,Kayden\ne7167,2012/01/24,lunch,indian food,\ne7168,2012/01/24,dinner,steak,\"Emily, Carter, Andrew, Kayden\"\ne7174,2012/01/25,breakfast,toast and cheese,\ne7175,2012/01/25,lunch,tacos,\ne7176,2012/01/25,dinner,a burger,\"Andrew, Kayden\"\ne7181,2012/01/26,breakfast,peanut-butter-jam,\ne7182,2012/01/26,lunch,sandwich,\ne7183,2012/01/26,dinner,pasta,\"Nevaeh, Olivia\"\ne7189,2012/01/27,breakfast,cereals,\ne7190,2012/01/27,lunch,a burger,\ne7191,2012/01/27,dinner,indian food,\ne7197,2012/01/28,breakfast,cereals,\"Benjamin, Avery, Jackson\"\ne7198,2012/01/28,lunch,sushi,\ne7199,2012/01/28,dinner,a burger,\ne7206,2012/01/29,breakfast,peanut-butter-jam,\ne7207,2012/01/29,lunch,indian food,\ne7208,2012/01/29,dinner,sushi,\ne7215,2012/01/30,breakfast,cereals,\ne7216,2012/01/30,lunch,indian food,\ne7217,2012/01/30,dinner,tacos,\ne7224,2012/01/31,breakfast,pancakes,\ne7225,2012/01/31,lunch,tacos,\ne7226,2012/01/31,dinner,pasta,\ne7232,2012/02/01,breakfast,toast and cheese,\ne7233,2012/02/01,lunch,indian food,\"Jackson, Willow, Benjamin\"\ne7234,2012/02/01,dinner,pasta,\"Andrew, Emily\"\ne7240,2012/02/02,breakfast,pancakes,Andrew\ne7241,2012/02/02,lunch,fish and chips,\"Avery, Hazel, Nevaeh, Layla, Eva, Piper\"\ne7242,2012/02/02,dinner,chinese food,\ne7249,2012/02/03,breakfast,\"eggs, sausages, and bread\",\"Layla, Eva\"\ne7250,2012/02/03,lunch,sandwich,\ne7251,2012/02/03,dinner,a burger,\ne7258,2012/02/04,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily, Kayden, Andrew\"\ne7259,2012/02/04,lunch,sandwich,\ne7260,2012/02/04,dinner,chinese food,\ne7268,2012/02/05,breakfast,pancakes,\ne7269,2012/02/05,lunch,tacos,\"Benjamin, Willow\"\ne7270,2012/02/05,dinner,steak,\ne7276,2012/02/06,breakfast,pancakes,\ne7277,2012/02/06,lunch,a burger,\ne7278,2012/02/06,dinner,steak,\ne7283,2012/02/07,breakfast,\"eggs, sausages, and bread\",\ne7284,2012/02/07,lunch,steak,Andrew\ne7285,2012/02/07,dinner,indian food,\"Carter, Kayden, Emily\"\ne7292,2012/02/08,breakfast,toast and cheese,\ne7293,2012/02/08,lunch,steak,\"Carter, Kayden, Andrew\"\ne7294,2012/02/08,dinner,indian food,\ne7301,2012/02/09,breakfast,toast and cheese,\"Avery, Piper, Eva, Nevaeh, Claire, Olivia, Layla, Piper, Kinsley, Nora, Hazel, Lydia, Rylee\"\ne7302,2012/02/09,lunch,sushi,\"Emily, Carter, Kayden, Andrew\"\ne7303,2012/02/09,dinner,tacos,\ne7310,2012/02/10,breakfast,oatmeal,Benjamin\ne7311,2012/02/10,lunch,pasta,\"Emily, Carter, Andrew, Kayden\"\ne7312,2012/02/10,dinner,pasta,\ne7320,2012/02/11,breakfast,oatmeal,\ne7321,2012/02/11,lunch,a burger,\"Kayden, Carter\"\ne7322,2012/02/11,dinner,steak,\ne7330,2012/02/12,breakfast,\"eggs, sausages, and bread\",\"Nora, Olivia, Claire, Rylee, Piper, Hazel, Piper, Avery, Lydia\"\ne7331,2012/02/12,lunch,pasta,\ne7332,2012/02/12,dinner,fish and chips,\ne7339,2012/02/13,breakfast,pancakes,\"Kayden, Andrew, Emily, Carter\"\ne7340,2012/02/13,lunch,sandwich,\"Emily, Kayden, Carter\"\ne7341,2012/02/13,dinner,a burger,\ne7349,2012/02/14,breakfast,pancakes,\ne7350,2012/02/14,lunch,tacos,\ne7351,2012/02/14,dinner,sushi,\ne7358,2012/02/15,breakfast,pancakes,\"Kinsley, Olivia, Lydia, Avery, Piper, Layla, Hazel, Claire, Nevaeh, Rylee, Eva\"\ne7359,2012/02/15,lunch,pasta,\ne7360,2012/02/15,dinner,tacos,\ne7366,2012/02/16,breakfast,peanut-butter-jam,\ne7367,2012/02/16,lunch,pasta,\ne7368,2012/02/16,dinner,sushi,\"Andrew, Emily\"\ne7375,2012/02/17,breakfast,oatmeal,\ne7376,2012/02/17,lunch,steak,\"Carter, Emily\"\ne7377,2012/02/17,dinner,chinese food,Rylee\ne7384,2012/02/18,breakfast,peanut-butter-jam,\ne7385,2012/02/18,lunch,sushi,\ne7386,2012/02/18,dinner,pasta,\ne7392,2012/02/19,breakfast,pancakes,\"Nevaeh, Layla, Avery, Claire, Nora, Lydia, Hazel, Piper, Rylee, Eva, Olivia\"\ne7393,2012/02/19,lunch,steak,\"Carter, Kayden, Emily, Andrew\"\ne7394,2012/02/19,dinner,tacos,\ne7400,2012/02/20,breakfast,\"eggs, sausages, and bread\",\ne7401,2012/02/20,lunch,sandwich,\ne7402,2012/02/20,dinner,sandwich,\"Piper, Nevaeh, Layla, Claire, Lydia, Eva, Hazel\"\ne7409,2012/02/21,breakfast,\"eggs, sausages, and bread\",Carter\ne7410,2012/02/21,lunch,a burger,\ne7411,2012/02/21,dinner,chinese food,\ne7417,2012/02/22,breakfast,pancakes,Andrew\ne7418,2012/02/22,lunch,steak,\ne7419,2012/02/22,dinner,chinese food,\"Kinsley, Piper, Olivia\"\ne7425,2012/02/23,breakfast,\"eggs, sausages, and bread\",\"Kayden, Emily, Andrew\"\ne7426,2012/02/23,lunch,pasta,\"Lydia, Avery, Piper\"\ne7427,2012/02/23,dinner,chinese food,\ne7433,2012/02/24,breakfast,toast and cheese,\"Piper, Lydia, Hazel, Eva, Rylee\"\ne7434,2012/02/24,lunch,tacos,Lydia\ne7435,2012/02/24,dinner,sushi,\ne7442,2012/02/25,breakfast,pancakes,\"Piper, Eva, Hazel, Kinsley, Rylee, Layla, Avery, Piper, Nora, Olivia, Nevaeh\"\ne7443,2012/02/25,lunch,sandwich,\ne7444,2012/02/25,dinner,pasta,\ne7451,2012/02/26,breakfast,oatmeal,\ne7452,2012/02/26,lunch,steak,\ne7453,2012/02/26,dinner,steak,\ne7460,2012/02/27,breakfast,oatmeal,\ne7461,2012/02/27,lunch,tacos,\ne7462,2012/02/27,dinner,a burger,\ne7469,2012/02/28,breakfast,toast and cheese,\"Rylee, Kinsley, Eva, Hazel, Nora, Piper, Avery\"\ne7470,2012/02/28,lunch,indian food,\"Hazel, Piper, Olivia\"\ne7471,2012/02/28,dinner,tacos,\ne7478,2012/02/29,breakfast,cereals,\"Andrew, Kayden, Emily\"\ne7479,2012/02/29,lunch,pasta,\ne7480,2012/02/29,dinner,steak,\"Carter, Emily, Kayden\"\ne7486,2012/03/01,breakfast,peanut-butter-jam,\"Jackson, Willow, Benjamin, Avery\"\ne7487,2012/03/01,lunch,a burger,\ne7488,2012/03/01,dinner,sandwich,\"Lydia, Nora, Piper, Rylee, Nevaeh, Eva, Piper, Hazel, Avery, Kinsley, Olivia, Layla, Claire\"\ne7495,2012/03/02,breakfast,pancakes,\"Piper, Claire, Hazel, Kinsley, Piper\"\ne7496,2012/03/02,lunch,chinese food,\"Avery, Benjamin, Jackson, Willow\"\ne7497,2012/03/02,dinner,a burger,\ne7505,2012/03/03,breakfast,toast and cheese,\ne7506,2012/03/03,lunch,pasta,\"Avery, Piper, Rylee, Nevaeh, Olivia\"\ne7507,2012/03/03,dinner,tacos,\ne7514,2012/03/04,breakfast,\"eggs, sausages, and bread\",\ne7515,2012/03/04,lunch,pasta,\"Emily, Carter, Andrew\"\ne7516,2012/03/04,dinner,a burger,\"Lydia, Nevaeh\"\ne7523,2012/03/05,breakfast,peanut-butter-jam,\ne7524,2012/03/05,lunch,tacos,\"Avery, Willow, Benjamin, Jackson\"\ne7525,2012/03/05,dinner,sushi,Avery\ne7532,2012/03/06,breakfast,peanut-butter-jam,\"Piper, Nevaeh\"\ne7533,2012/03/06,lunch,a burger,\ne7534,2012/03/06,dinner,fish and chips,\ne7540,2012/03/07,breakfast,oatmeal,\ne7541,2012/03/07,lunch,steak,\ne7542,2012/03/07,dinner,steak,\"Kayden, Andrew, Carter, Emily\"\ne7549,2012/03/08,breakfast,toast and cheese,\ne7550,2012/03/08,lunch,tacos,\ne7551,2012/03/08,dinner,indian food,\"Willow, Avery\"\ne7558,2012/03/09,breakfast,peanut-butter-jam,\ne7559,2012/03/09,lunch,sandwich,\"Nora, Claire, Avery, Rylee, Lydia, Piper, Eva, Hazel, Layla, Kinsley, Nevaeh, Piper\"\ne7560,2012/03/09,dinner,sushi,\ne7566,2012/03/10,breakfast,toast and cheese,\ne7567,2012/03/10,lunch,chinese food,\"Jackson, Willow\"\ne7568,2012/03/10,dinner,chinese food,\ne7574,2012/03/11,breakfast,pancakes,\"Benjamin, Willow, Jackson\"\ne7575,2012/03/11,lunch,tacos,\"Andrew, Kayden, Emily\"\ne7576,2012/03/11,dinner,tacos,\ne7581,2012/03/12,breakfast,cereals,\ne7582,2012/03/12,lunch,pasta,\ne7583,2012/03/12,dinner,fish and chips,Kayden\ne7590,2012/03/13,breakfast,pancakes,\"Jackson, Willow, Benjamin, Avery\"\ne7591,2012/03/13,lunch,sushi,\ne7592,2012/03/13,dinner,fish and chips,\"Rylee, Eva, Piper, Hazel, Olivia\"\ne7599,2012/03/14,breakfast,\"eggs, sausages, and bread\",\ne7600,2012/03/14,lunch,pasta,\ne7601,2012/03/14,dinner,a burger,\ne7607,2012/03/15,breakfast,cereals,\ne7608,2012/03/15,lunch,sandwich,\ne7609,2012/03/15,dinner,a burger,\ne7615,2012/03/16,breakfast,toast and cheese,\ne7616,2012/03/16,lunch,pasta,\ne7617,2012/03/16,dinner,chinese food,\"Olivia, Layla, Claire, Avery, Rylee, Piper, Nevaeh, Hazel, Eva\"\ne7624,2012/03/17,breakfast,peanut-butter-jam,\ne7625,2012/03/17,lunch,tacos,\ne7626,2012/03/17,dinner,a burger,\ne7632,2012/03/18,breakfast,peanut-butter-jam,\"Rylee, Piper, Olivia, Layla, Lydia, Nevaeh, Claire, Avery, Hazel, Piper, Eva, Nora, Kinsley\"\ne7633,2012/03/18,lunch,chinese food,\"Rylee, Eva, Piper, Nevaeh, Layla, Hazel\"\ne7634,2012/03/18,dinner,pasta,\ne7641,2012/03/19,breakfast,peanut-butter-jam,\ne7642,2012/03/19,lunch,pasta,\ne7643,2012/03/19,dinner,tacos,\"Piper, Hazel, Eva, Olivia, Claire\"\ne7649,2012/03/20,breakfast,\"eggs, sausages, and bread\",Carter\ne7650,2012/03/20,lunch,tacos,Andrew\ne7651,2012/03/20,dinner,tacos,\ne7657,2012/03/21,breakfast,cereals,\"Benjamin, Willow, Avery\"\ne7658,2012/03/21,lunch,indian food,\ne7659,2012/03/21,dinner,steak,\ne7667,2012/03/22,breakfast,cereals,\ne7668,2012/03/22,lunch,pasta,\ne7669,2012/03/22,dinner,sandwich,\"Emily, Andrew, Carter\"\ne7676,2012/03/23,breakfast,\"eggs, sausages, and bread\",Carter\ne7677,2012/03/23,lunch,sandwich,\"Lydia, Avery, Piper, Rylee\"\ne7678,2012/03/23,dinner,indian food,\ne7686,2012/03/24,breakfast,toast and cheese,\ne7687,2012/03/24,lunch,a burger,\"Andrew, Kayden, Emily\"\ne7688,2012/03/24,dinner,chinese food,\"Carter, Kayden\"\ne7696,2012/03/25,breakfast,cereals,\ne7697,2012/03/25,lunch,tacos,\ne7698,2012/03/25,dinner,sandwich,\"Layla, Piper, Claire, Rylee, Lydia, Eva, Piper, Avery, Nevaeh, Nora, Olivia\"\ne7705,2012/03/26,breakfast,oatmeal,Emily\ne7706,2012/03/26,lunch,pasta,\"Emily, Carter, Kayden\"\ne7707,2012/03/26,dinner,steak,\ne7715,2012/03/27,breakfast,pancakes,\ne7716,2012/03/27,lunch,indian food,\ne7717,2012/03/27,dinner,fish and chips,\ne7724,2012/03/28,breakfast,toast and cheese,\ne7725,2012/03/28,lunch,sushi,\ne7726,2012/03/28,dinner,pasta,\"Rylee, Claire, Layla\"\ne7733,2012/03/29,breakfast,cereals,\ne7734,2012/03/29,lunch,steak,\"Hazel, Eva, Avery, Kinsley, Piper, Piper, Rylee\"\ne7735,2012/03/29,dinner,indian food,\ne7743,2012/03/30,breakfast,toast and cheese,\"Hazel, Olivia\"\ne7744,2012/03/30,lunch,pasta,\ne7745,2012/03/30,dinner,sandwich,\ne7752,2012/03/31,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew, Emily\"\ne7753,2012/03/31,lunch,sushi,\"Carter, Kayden, Andrew, Emily\"\ne7754,2012/03/31,dinner,a burger,\"Emily, Kayden\"\ne7760,2012/04/01,breakfast,cereals,\ne7761,2012/04/01,lunch,indian food,\ne7762,2012/04/01,dinner,pasta,\"Emily, Kayden, Carter\"\ne7769,2012/04/02,breakfast,toast and cheese,Olivia\ne7770,2012/04/02,lunch,fish and chips,Kayden\ne7771,2012/04/02,dinner,pasta,\ne7777,2012/04/03,breakfast,oatmeal,\ne7778,2012/04/03,lunch,tacos,\"Carter, Andrew, Emily, Kayden\"\ne7779,2012/04/03,dinner,sandwich,\ne7786,2012/04/04,breakfast,\"eggs, sausages, and bread\",\ne7787,2012/04/04,lunch,tacos,\ne7788,2012/04/04,dinner,tacos,\ne7795,2012/04/05,breakfast,cereals,\ne7796,2012/04/05,lunch,sandwich,\"Rylee, Nevaeh, Layla, Olivia, Nora, Piper, Lydia, Hazel\"\ne7797,2012/04/05,dinner,sushi,\"Avery, Kinsley, Nevaeh, Hazel, Piper, Eva, Lydia, Layla\"\ne7802,2012/04/06,breakfast,peanut-butter-jam,\ne7803,2012/04/06,lunch,sandwich,\"Piper, Layla, Hazel, Nora\"\ne7804,2012/04/06,dinner,fish and chips,\ne7810,2012/04/07,breakfast,pancakes,\ne7811,2012/04/07,lunch,tacos,\ne7812,2012/04/07,dinner,a burger,\ne7818,2012/04/08,breakfast,\"eggs, sausages, and bread\",\ne7819,2012/04/08,lunch,steak,\ne7820,2012/04/08,dinner,a burger,\ne7826,2012/04/09,breakfast,toast and cheese,\ne7827,2012/04/09,lunch,chinese food,Willow\ne7828,2012/04/09,dinner,sushi,\"Eva, Nevaeh, Avery, Layla, Lydia, Kinsley, Olivia, Piper\"\ne7835,2012/04/10,breakfast,peanut-butter-jam,\ne7836,2012/04/10,lunch,tacos,Kayden\ne7837,2012/04/10,dinner,steak,Carter\ne7845,2012/04/11,breakfast,cereals,\"Carter, Andrew, Kayden, Emily\"\ne7846,2012/04/11,lunch,indian food,\ne7847,2012/04/11,dinner,sushi,\"Jackson, Avery, Willow\"\ne7854,2012/04/12,breakfast,oatmeal,\ne7855,2012/04/12,lunch,indian food,\ne7856,2012/04/12,dinner,sandwich,\"Andrew, Kayden, Emily, Carter\"\ne7864,2012/04/13,breakfast,peanut-butter-jam,\"Piper, Kinsley, Nevaeh, Claire, Piper, Layla, Lydia, Avery, Eva, Nora, Rylee\"\ne7865,2012/04/13,lunch,chinese food,\"Piper, Nora, Layla, Rylee\"\ne7866,2012/04/13,dinner,sushi,\ne7872,2012/04/14,breakfast,oatmeal,\"Jackson, Willow, Avery, Benjamin\"\ne7873,2012/04/14,lunch,steak,\ne7874,2012/04/14,dinner,sandwich,\ne7878,2012/04/15,breakfast,pancakes,Piper\ne7879,2012/04/15,lunch,sushi,\ne7880,2012/04/15,dinner,sushi,\"Avery, Willow, Benjamin, Jackson\"\ne7885,2012/04/16,breakfast,oatmeal,\"Piper, Claire, Hazel, Rylee, Nora, Avery, Layla, Piper, Nevaeh, Eva\"\ne7886,2012/04/16,lunch,sushi,\ne7887,2012/04/16,dinner,tacos,\ne7893,2012/04/17,breakfast,toast and cheese,\"Jackson, Willow, Avery\"\ne7894,2012/04/17,lunch,chinese food,\"Benjamin, Jackson, Avery, Willow\"\ne7895,2012/04/17,dinner,pasta,\"Hazel, Avery, Eva, Claire, Nora, Piper\"\ne7901,2012/04/18,breakfast,peanut-butter-jam,\ne7902,2012/04/18,lunch,steak,\ne7903,2012/04/18,dinner,sushi,\"Nora, Rylee, Nevaeh, Hazel, Piper\"\ne7909,2012/04/19,breakfast,pancakes,Emily\ne7910,2012/04/19,lunch,indian food,\"Kayden, Emily\"\ne7911,2012/04/19,dinner,fish and chips,\ne7917,2012/04/20,breakfast,pancakes,Carter\ne7918,2012/04/20,lunch,a burger,\"Andrew, Emily\"\ne7919,2012/04/20,dinner,a burger,\ne7926,2012/04/21,breakfast,toast and cheese,\ne7927,2012/04/21,lunch,sushi,\ne7928,2012/04/21,dinner,chinese food,\ne7934,2012/04/22,breakfast,peanut-butter-jam,Carter\ne7935,2012/04/22,lunch,sandwich,\ne7936,2012/04/22,dinner,chinese food,\ne7943,2012/04/23,breakfast,pancakes,\ne7944,2012/04/23,lunch,sushi,\ne7945,2012/04/23,dinner,indian food,\ne7952,2012/04/24,breakfast,cereals,Emily\ne7953,2012/04/24,lunch,sandwich,\ne7954,2012/04/24,dinner,sandwich,\ne7961,2012/04/25,breakfast,oatmeal,\"Hazel, Kinsley, Piper, Nevaeh, Layla, Avery, Olivia, Eva\"\ne7962,2012/04/25,lunch,steak,\ne7963,2012/04/25,dinner,tacos,\"Carter, Andrew, Emily, Kayden\"\ne7970,2012/04/26,breakfast,cereals,\ne7971,2012/04/26,lunch,steak,\ne7972,2012/04/26,dinner,fish and chips,\ne7980,2012/04/27,breakfast,cereals,\"Layla, Kinsley\"\ne7981,2012/04/27,lunch,a burger,\"Piper, Hazel, Nevaeh, Eva, Avery, Claire, Nora, Piper, Kinsley\"\ne7982,2012/04/27,dinner,pasta,\ne7988,2012/04/28,breakfast,pancakes,\"Avery, Jackson\"\ne7989,2012/04/28,lunch,indian food,\ne7990,2012/04/28,dinner,tacos,\ne7996,2012/04/29,breakfast,toast and cheese,\"Kayden, Emily, Carter, Andrew\"\ne7997,2012/04/29,lunch,indian food,\"Avery, Willow\"\ne7998,2012/04/29,dinner,sandwich,\"Kinsley, Avery, Nora, Piper, Olivia, Hazel, Layla, Nevaeh, Claire, Eva, Rylee, Lydia\"\ne8005,2012/04/30,breakfast,cereals,\"Avery, Willow, Benjamin\"\ne8006,2012/04/30,lunch,chinese food,\ne8007,2012/04/30,dinner,steak,\ne8014,2012/05/01,breakfast,pancakes,\ne8015,2012/05/01,lunch,tacos,\ne8016,2012/05/01,dinner,pasta,\ne8023,2012/05/02,breakfast,cereals,\"Eva, Layla, Hazel, Avery, Piper, Olivia, Rylee, Nevaeh, Claire\"\ne8024,2012/05/02,lunch,fish and chips,\ne8025,2012/05/02,dinner,a burger,\"Claire, Hazel, Olivia, Avery, Piper, Nora, Nevaeh\"\ne8031,2012/05/03,breakfast,pancakes,\"Lydia, Rylee, Avery, Hazel, Kinsley, Claire, Layla, Eva, Piper, Nevaeh, Piper\"\ne8032,2012/05/03,lunch,steak,\ne8033,2012/05/03,dinner,a burger,\ne8040,2012/05/04,breakfast,peanut-butter-jam,\"Hazel, Piper, Rylee, Nora, Layla, Claire, Olivia\"\ne8041,2012/05/04,lunch,sandwich,\ne8042,2012/05/04,dinner,tacos,Emily\ne8049,2012/05/05,breakfast,cereals,\ne8050,2012/05/05,lunch,indian food,\ne8051,2012/05/05,dinner,chinese food,\"Avery, Benjamin, Jackson, Willow\"\ne8059,2012/05/06,breakfast,\"eggs, sausages, and bread\",\ne8060,2012/05/06,lunch,pasta,\ne8061,2012/05/06,dinner,sushi,Avery\ne8069,2012/05/07,breakfast,oatmeal,\ne8070,2012/05/07,lunch,fish and chips,\"Piper, Rylee, Lydia, Kinsley, Hazel, Nora, Piper\"\ne8071,2012/05/07,dinner,steak,\"Piper, Hazel, Nevaeh\"\ne8078,2012/05/08,breakfast,\"eggs, sausages, and bread\",\ne8079,2012/05/08,lunch,sushi,\ne8080,2012/05/08,dinner,indian food,\ne8086,2012/05/09,breakfast,peanut-butter-jam,\"Avery, Rylee, Layla, Claire, Lydia, Nevaeh, Eva, Kinsley, Nora, Piper, Olivia\"\ne8087,2012/05/09,lunch,indian food,\ne8088,2012/05/09,dinner,chinese food,\"Rylee, Nora, Claire, Eva, Olivia\"\ne8095,2012/05/10,breakfast,peanut-butter-jam,\ne8096,2012/05/10,lunch,pasta,Layla\ne8097,2012/05/10,dinner,chinese food,\ne8105,2012/05/11,breakfast,peanut-butter-jam,\ne8106,2012/05/11,lunch,pasta,\ne8107,2012/05/11,dinner,sandwich,\ne8115,2012/05/12,breakfast,peanut-butter-jam,\ne8116,2012/05/12,lunch,tacos,\ne8117,2012/05/12,dinner,steak,\ne8124,2012/05/13,breakfast,pancakes,\ne8125,2012/05/13,lunch,tacos,\ne8126,2012/05/13,dinner,sushi,Andrew\ne8132,2012/05/14,breakfast,oatmeal,\ne8133,2012/05/14,lunch,steak,\ne8134,2012/05/14,dinner,steak,\ne8141,2012/05/15,breakfast,pancakes,\ne8142,2012/05/15,lunch,pasta,\"Jackson, Avery, Willow\"\ne8143,2012/05/15,dinner,pasta,\ne8150,2012/05/16,breakfast,\"eggs, sausages, and bread\",Nora\ne8151,2012/05/16,lunch,sandwich,\"Emily, Kayden, Andrew, Carter\"\ne8152,2012/05/16,dinner,sushi,\ne8160,2012/05/17,breakfast,pancakes,\ne8161,2012/05/17,lunch,sushi,\ne8162,2012/05/17,dinner,tacos,\"Layla, Hazel, Avery, Claire\"\ne8169,2012/05/18,breakfast,\"eggs, sausages, and bread\",\"Andrew, Emily, Kayden, Carter\"\ne8170,2012/05/18,lunch,sandwich,\ne8171,2012/05/18,dinner,sushi,Emily\ne8177,2012/05/19,breakfast,\"eggs, sausages, and bread\",\"Andrew, Emily, Kayden, Carter\"\ne8178,2012/05/19,lunch,tacos,\"Piper, Layla, Kinsley, Lydia, Nevaeh, Piper, Claire, Eva, Avery, Nora\"\ne8179,2012/05/19,dinner,a burger,\"Olivia, Layla, Hazel, Avery, Piper, Claire, Nora, Rylee, Kinsley, Lydia, Nevaeh\"\ne8185,2012/05/20,breakfast,peanut-butter-jam,\"Emily, Kayden, Carter\"\ne8186,2012/05/20,lunch,indian food,\ne8187,2012/05/20,dinner,sushi,\"Emily, Carter\"\ne8193,2012/05/21,breakfast,oatmeal,\"Emily, Carter\"\ne8194,2012/05/21,lunch,steak,\"Jackson, Avery, Benjamin, Willow\"\ne8195,2012/05/21,dinner,steak,\ne8201,2012/05/22,breakfast,toast and cheese,\ne8202,2012/05/22,lunch,a burger,\"Willow, Benjamin, Jackson, Avery\"\ne8203,2012/05/22,dinner,chinese food,\ne8211,2012/05/23,breakfast,\"eggs, sausages, and bread\",\ne8212,2012/05/23,lunch,indian food,\ne8213,2012/05/23,dinner,indian food,\ne8221,2012/05/24,breakfast,\"eggs, sausages, and bread\",\"Hazel, Nevaeh, Nora, Claire, Layla, Lydia, Eva, Olivia, Rylee, Avery, Piper, Kinsley\"\ne8222,2012/05/24,lunch,pasta,\ne8223,2012/05/24,dinner,chinese food,\"Carter, Emily, Andrew\"\ne8231,2012/05/25,breakfast,oatmeal,\"Carter, Andrew\"\ne8232,2012/05/25,lunch,tacos,\ne8233,2012/05/25,dinner,sandwich,\ne8241,2012/05/26,breakfast,\"eggs, sausages, and bread\",\"Avery, Willow, Jackson, Benjamin\"\ne8242,2012/05/26,lunch,pasta,\ne8243,2012/05/26,dinner,steak,\"Emily, Kayden, Carter, Andrew\"\ne8250,2012/05/27,breakfast,toast and cheese,Carter\ne8251,2012/05/27,lunch,sushi,\ne8252,2012/05/27,dinner,chinese food,\ne8259,2012/05/28,breakfast,toast and cheese,\ne8260,2012/05/28,lunch,a burger,\"Emily, Carter\"\ne8261,2012/05/28,dinner,chinese food,\ne8268,2012/05/29,breakfast,toast and cheese,\ne8269,2012/05/29,lunch,sandwich,Benjamin\ne8270,2012/05/29,dinner,sushi,\ne8277,2012/05/30,breakfast,pancakes,\ne8278,2012/05/30,lunch,steak,\ne8279,2012/05/30,dinner,tacos,\ne8287,2012/05/31,breakfast,pancakes,\"Lydia, Claire, Avery, Rylee, Piper, Nora, Hazel, Nevaeh, Olivia, Eva, Layla, Piper, Kinsley\"\ne8288,2012/05/31,lunch,chinese food,\"Layla, Eva, Claire\"\ne8289,2012/05/31,dinner,fish and chips,\"Emily, Andrew, Kayden, Carter\"\ne8297,2012/06/01,breakfast,toast and cheese,\"Emily, Kayden, Carter\"\ne8298,2012/06/01,lunch,fish and chips,\ne8299,2012/06/01,dinner,a burger,\ne8305,2012/06/02,breakfast,cereals,\ne8306,2012/06/02,lunch,fish and chips,\ne8307,2012/06/02,dinner,chinese food,Eva\ne8313,2012/06/03,breakfast,pancakes,\"Kayden, Emily\"\ne8314,2012/06/03,lunch,a burger,\ne8315,2012/06/03,dinner,steak,\ne8322,2012/06/04,breakfast,oatmeal,\"Rylee, Layla, Piper, Nora, Nevaeh\"\ne8323,2012/06/04,lunch,fish and chips,Willow\ne8324,2012/06/04,dinner,fish and chips,\"Layla, Avery\"\ne8330,2012/06/05,breakfast,oatmeal,\ne8331,2012/06/05,lunch,tacos,\"Carter, Kayden, Andrew\"\ne8332,2012/06/05,dinner,a burger,\ne8340,2012/06/06,breakfast,\"eggs, sausages, and bread\",\ne8341,2012/06/06,lunch,indian food,\"Kinsley, Lydia, Olivia, Claire, Nevaeh, Hazel, Rylee\"\ne8342,2012/06/06,dinner,tacos,\"Lydia, Hazel, Layla, Claire, Nevaeh, Eva, Rylee, Kinsley, Piper, Olivia, Avery\"\ne8349,2012/06/07,breakfast,pancakes,Claire\ne8350,2012/06/07,lunch,sandwich,\"Andrew, Kayden, Emily\"\ne8351,2012/06/07,dinner,fish and chips,\ne8359,2012/06/08,breakfast,\"eggs, sausages, and bread\",\"Kinsley, Piper, Rylee, Piper, Lydia, Olivia, Eva\"\ne8360,2012/06/08,lunch,sushi,\ne8361,2012/06/08,dinner,pasta,\"Eva, Nora, Nevaeh, Rylee, Piper, Hazel\"\ne8369,2012/06/09,breakfast,peanut-butter-jam,\"Benjamin, Willow\"\ne8370,2012/06/09,lunch,sandwich,\ne8371,2012/06/09,dinner,chinese food,\ne8377,2012/06/10,breakfast,pancakes,\ne8378,2012/06/10,lunch,a burger,\ne8379,2012/06/10,dinner,steak,\ne8385,2012/06/11,breakfast,toast and cheese,\"Kinsley, Claire, Lydia\"\ne8386,2012/06/11,lunch,indian food,\"Nevaeh, Olivia, Rylee, Kinsley, Eva, Lydia\"\ne8387,2012/06/11,dinner,steak,\"Olivia, Hazel, Piper, Rylee, Claire, Lydia, Nevaeh, Kinsley, Layla, Nora, Avery, Piper, Eva\"\ne8393,2012/06/12,breakfast,oatmeal,\"Piper, Avery, Kinsley, Nevaeh, Claire, Rylee, Eva\"\ne8394,2012/06/12,lunch,steak,\ne8395,2012/06/12,dinner,steak,\"Rylee, Kinsley, Olivia, Hazel, Eva, Piper, Layla, Avery, Piper, Claire, Nora\"\ne8403,2012/06/13,breakfast,cereals,\"Olivia, Hazel, Nevaeh, Piper, Nora, Rylee, Layla, Piper, Claire, Avery, Eva, Lydia\"\ne8404,2012/06/13,lunch,fish and chips,\ne8405,2012/06/13,dinner,sandwich,\"Hazel, Olivia\"\ne8412,2012/06/14,breakfast,cereals,\ne8413,2012/06/14,lunch,sushi,\ne8414,2012/06/14,dinner,chinese food,\ne8421,2012/06/15,breakfast,peanut-butter-jam,\ne8422,2012/06/15,lunch,sushi,\ne8423,2012/06/15,dinner,indian food,\ne8430,2012/06/16,breakfast,peanut-butter-jam,\ne8431,2012/06/16,lunch,sushi,\"Carter, Kayden, Andrew\"\ne8432,2012/06/16,dinner,sandwich,\ne8439,2012/06/17,breakfast,peanut-butter-jam,\ne8440,2012/06/17,lunch,tacos,\"Jackson, Benjamin, Willow, Avery\"\ne8441,2012/06/17,dinner,a burger,\ne8449,2012/06/18,breakfast,pancakes,\"Carter, Andrew, Emily\"\ne8450,2012/06/18,lunch,tacos,\ne8451,2012/06/18,dinner,indian food,\ne8458,2012/06/19,breakfast,\"eggs, sausages, and bread\",\ne8459,2012/06/19,lunch,chinese food,\ne8460,2012/06/19,dinner,indian food,\"Avery, Benjamin, Jackson\"\ne8467,2012/06/20,breakfast,toast and cheese,\ne8468,2012/06/20,lunch,steak,\"Jackson, Willow\"\ne8469,2012/06/20,dinner,sushi,\ne8476,2012/06/21,breakfast,peanut-butter-jam,\ne8477,2012/06/21,lunch,fish and chips,\ne8478,2012/06/21,dinner,steak,\"Carter, Andrew, Kayden, Emily\"\ne8485,2012/06/22,breakfast,oatmeal,\ne8486,2012/06/22,lunch,a burger,\"Benjamin, Willow, Jackson\"\ne8487,2012/06/22,dinner,fish and chips,\ne8495,2012/06/23,breakfast,toast and cheese,\ne8496,2012/06/23,lunch,indian food,\ne8497,2012/06/23,dinner,steak,\"Kinsley, Olivia, Rylee, Avery, Piper\"\ne8503,2012/06/24,breakfast,toast and cheese,Nora\ne8504,2012/06/24,lunch,tacos,\"Kayden, Carter, Emily, Andrew\"\ne8505,2012/06/24,dinner,a burger,\ne8513,2012/06/25,breakfast,\"eggs, sausages, and bread\",\ne8514,2012/06/25,lunch,steak,\"Nevaeh, Piper, Olivia, Eva, Hazel, Claire, Lydia, Piper, Kinsley, Nora, Avery\"\ne8515,2012/06/25,dinner,sushi,\"Andrew, Carter\"\ne8522,2012/06/26,breakfast,toast and cheese,\ne8523,2012/06/26,lunch,a burger,\"Avery, Jackson, Benjamin, Willow\"\ne8524,2012/06/26,dinner,pasta,\"Andrew, Kayden\"\ne8531,2012/06/27,breakfast,toast and cheese,\"Avery, Layla, Hazel, Lydia, Claire, Nevaeh, Olivia, Piper, Nora, Eva, Rylee, Kinsley, Piper\"\ne8532,2012/06/27,lunch,steak,\ne8533,2012/06/27,dinner,a burger,\"Avery, Jackson\"\ne8540,2012/06/28,breakfast,pancakes,\ne8541,2012/06/28,lunch,pasta,\ne8542,2012/06/28,dinner,steak,\"Emily, Carter, Andrew\"\ne8549,2012/06/29,breakfast,peanut-butter-jam,\ne8550,2012/06/29,lunch,fish and chips,\ne8551,2012/06/29,dinner,sandwich,\ne8557,2012/06/30,breakfast,oatmeal,\"Emily, Kayden\"\ne8558,2012/06/30,lunch,sushi,\ne8559,2012/06/30,dinner,sushi,\ne8567,2012/07/01,breakfast,toast and cheese,\"Carter, Kayden, Andrew\"\ne8568,2012/07/01,lunch,chinese food,\"Andrew, Kayden, Emily, Carter\"\ne8569,2012/07/01,dinner,tacos,\ne8576,2012/07/02,breakfast,\"eggs, sausages, and bread\",\"Hazel, Nora, Kinsley, Piper, Claire, Olivia, Lydia, Piper, Eva, Layla, Rylee\"\ne8577,2012/07/02,lunch,sandwich,\"Claire, Hazel, Layla, Nevaeh, Piper, Avery, Eva, Rylee, Lydia\"\ne8578,2012/07/02,dinner,chinese food,\ne8585,2012/07/03,breakfast,peanut-butter-jam,\"Andrew, Carter\"\ne8586,2012/07/03,lunch,sandwich,\ne8587,2012/07/03,dinner,steak,\"Piper, Claire, Layla, Rylee, Avery, Eva, Lydia, Nevaeh, Olivia, Hazel, Kinsley, Piper\"\ne8594,2012/07/04,breakfast,\"eggs, sausages, and bread\",\ne8595,2012/07/04,lunch,pasta,\ne8596,2012/07/04,dinner,fish and chips,\ne8603,2012/07/05,breakfast,cereals,\ne8604,2012/07/05,lunch,chinese food,\"Willow, Benjamin, Jackson, Avery\"\ne8605,2012/07/05,dinner,sandwich,\"Willow, Avery, Jackson\"\ne8612,2012/07/06,breakfast,pancakes,\ne8613,2012/07/06,lunch,fish and chips,\ne8614,2012/07/06,dinner,steak,\ne8621,2012/07/07,breakfast,oatmeal,\ne8622,2012/07/07,lunch,steak,\"Kayden, Carter, Emily\"\ne8623,2012/07/07,dinner,sushi,\"Emily, Kayden, Andrew\"\ne8628,2012/07/08,breakfast,peanut-butter-jam,\ne8629,2012/07/08,lunch,sushi,\ne8630,2012/07/08,dinner,tacos,\"Andrew, Kayden, Carter\"\ne8636,2012/07/09,breakfast,\"eggs, sausages, and bread\",\ne8637,2012/07/09,lunch,chinese food,\ne8638,2012/07/09,dinner,sushi,\ne8645,2012/07/10,breakfast,cereals,\ne8646,2012/07/10,lunch,a burger,\ne8647,2012/07/10,dinner,tacos,\ne8654,2012/07/11,breakfast,pancakes,\"Hazel, Nora, Kinsley, Piper, Rylee, Layla, Nevaeh\"\ne8655,2012/07/11,lunch,a burger,\ne8656,2012/07/11,dinner,chinese food,\ne8662,2012/07/12,breakfast,oatmeal,\ne8663,2012/07/12,lunch,chinese food,\ne8664,2012/07/12,dinner,chinese food,\ne8671,2012/07/13,breakfast,cereals,\ne8672,2012/07/13,lunch,sushi,Carter\ne8673,2012/07/13,dinner,a burger,\ne8679,2012/07/14,breakfast,peanut-butter-jam,\"Piper, Layla, Avery, Eva, Olivia, Hazel, Lydia, Nevaeh, Piper, Rylee, Kinsley\"\ne8680,2012/07/14,lunch,tacos,\"Olivia, Claire\"\ne8681,2012/07/14,dinner,sushi,\ne8688,2012/07/15,breakfast,toast and cheese,\ne8689,2012/07/15,lunch,a burger,\ne8690,2012/07/15,dinner,indian food,Kayden\ne8697,2012/07/16,breakfast,cereals,\"Andrew, Emily\"\ne8698,2012/07/16,lunch,steak,\"Claire, Piper, Eva, Avery, Kinsley, Nevaeh, Piper, Rylee, Nora, Olivia, Layla\"\ne8699,2012/07/16,dinner,tacos,\"Emily, Kayden\"\ne8705,2012/07/17,breakfast,cereals,\"Kayden, Emily, Andrew, Carter\"\ne8706,2012/07/17,lunch,fish and chips,\ne8707,2012/07/17,dinner,steak,Jackson\ne8715,2012/07/18,breakfast,cereals,\ne8716,2012/07/18,lunch,chinese food,\ne8717,2012/07/18,dinner,fish and chips,\ne8723,2012/07/19,breakfast,toast and cheese,\"Rylee, Lydia, Olivia, Claire, Eva, Nevaeh, Layla\"\ne8724,2012/07/19,lunch,chinese food,\"Carter, Andrew, Emily, Kayden\"\ne8725,2012/07/19,dinner,sushi,\ne8732,2012/07/20,breakfast,cereals,\"Rylee, Olivia, Kinsley\"\ne8733,2012/07/20,lunch,tacos,\"Emily, Andrew, Kayden\"\ne8734,2012/07/20,dinner,a burger,\"Avery, Willow, Benjamin, Jackson\"\ne8742,2012/07/21,breakfast,pancakes,\ne8743,2012/07/21,lunch,sandwich,\ne8744,2012/07/21,dinner,pasta,\ne8751,2012/07/22,breakfast,oatmeal,\ne8752,2012/07/22,lunch,fish and chips,\ne8753,2012/07/22,dinner,pasta,\"Rylee, Nora, Hazel\"\ne8760,2012/07/23,breakfast,\"eggs, sausages, and bread\",\ne8761,2012/07/23,lunch,indian food,\"Carter, Andrew, Emily\"\ne8762,2012/07/23,dinner,a burger,\ne8767,2012/07/24,breakfast,\"eggs, sausages, and bread\",\ne8768,2012/07/24,lunch,pasta,\"Olivia, Kinsley, Layla, Hazel, Avery, Eva, Piper\"\ne8769,2012/07/24,dinner,sandwich,\ne8777,2012/07/25,breakfast,oatmeal,\"Emily, Carter, Andrew, Kayden\"\ne8778,2012/07/25,lunch,a burger,\ne8779,2012/07/25,dinner,tacos,\"Jackson, Avery, Willow, Benjamin\"\ne8786,2012/07/26,breakfast,pancakes,\"Carter, Andrew\"\ne8787,2012/07/26,lunch,chinese food,\"Avery, Jackson, Benjamin\"\ne8788,2012/07/26,dinner,steak,\ne8794,2012/07/27,breakfast,oatmeal,\ne8795,2012/07/27,lunch,sushi,\"Carter, Andrew\"\ne8796,2012/07/27,dinner,a burger,\"Andrew, Carter\"\ne8802,2012/07/28,breakfast,cereals,\ne8803,2012/07/28,lunch,tacos,\ne8804,2012/07/28,dinner,steak,\ne8811,2012/07/29,breakfast,cereals,Emily\ne8812,2012/07/29,lunch,indian food,\ne8813,2012/07/29,dinner,indian food,\ne8818,2012/07/30,breakfast,pancakes,\ne8819,2012/07/30,lunch,sandwich,\"Carter, Emily, Kayden, Andrew\"\ne8820,2012/07/30,dinner,steak,\ne8826,2012/07/31,breakfast,oatmeal,\"Kinsley, Rylee, Olivia, Nevaeh, Lydia, Piper, Piper, Avery, Layla\"\ne8827,2012/07/31,lunch,sandwich,\ne8828,2012/07/31,dinner,tacos,Kayden\ne8835,2012/08/01,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter, Andrew\"\ne8836,2012/08/01,lunch,sushi,\ne8837,2012/08/01,dinner,pasta,\"Andrew, Kayden, Carter, Emily\"\ne8844,2012/08/02,breakfast,oatmeal,\"Eva, Piper\"\ne8845,2012/08/02,lunch,fish and chips,\"Benjamin, Jackson, Avery, Willow\"\ne8846,2012/08/02,dinner,indian food,\ne8854,2012/08/03,breakfast,peanut-butter-jam,\ne8855,2012/08/03,lunch,tacos,\"Avery, Nevaeh, Nora, Layla, Kinsley, Rylee, Hazel, Olivia, Piper, Lydia, Claire, Eva\"\ne8856,2012/08/03,dinner,a burger,\ne8864,2012/08/04,breakfast,peanut-butter-jam,\"Piper, Piper, Rylee, Avery, Olivia\"\ne8865,2012/08/04,lunch,steak,\"Benjamin, Jackson, Willow\"\ne8866,2012/08/04,dinner,fish and chips,\"Piper, Eva, Olivia, Lydia, Piper, Claire, Rylee, Avery, Nora, Layla, Nevaeh\"\ne8872,2012/08/05,breakfast,oatmeal,\ne8873,2012/08/05,lunch,fish and chips,\ne8874,2012/08/05,dinner,pasta,\"Avery, Willow, Benjamin, Jackson\"\ne8881,2012/08/06,breakfast,peanut-butter-jam,\ne8882,2012/08/06,lunch,sandwich,\ne8883,2012/08/06,dinner,chinese food,\"Emily, Carter\"\ne8889,2012/08/07,breakfast,oatmeal,\ne8890,2012/08/07,lunch,steak,\ne8891,2012/08/07,dinner,pasta,\ne8897,2012/08/08,breakfast,cereals,\"Piper, Olivia, Hazel, Claire, Piper, Layla\"\ne8898,2012/08/08,lunch,sandwich,\ne8899,2012/08/08,dinner,indian food,\ne8907,2012/08/09,breakfast,pancakes,\ne8908,2012/08/09,lunch,chinese food,\"Andrew, Emily\"\ne8909,2012/08/09,dinner,tacos,\ne8916,2012/08/10,breakfast,toast and cheese,Emily\ne8917,2012/08/10,lunch,a burger,\"Willow, Jackson, Avery\"\ne8918,2012/08/10,dinner,fish and chips,Jackson\ne8924,2012/08/11,breakfast,peanut-butter-jam,\ne8925,2012/08/11,lunch,tacos,\ne8926,2012/08/11,dinner,sandwich,\ne8934,2012/08/12,breakfast,peanut-butter-jam,\ne8935,2012/08/12,lunch,sandwich,\"Olivia, Piper, Kinsley, Nora, Rylee, Nevaeh, Hazel, Piper\"\ne8936,2012/08/12,dinner,steak,\ne8944,2012/08/13,breakfast,toast and cheese,\ne8945,2012/08/13,lunch,indian food,\"Andrew, Carter, Emily, Kayden\"\ne8946,2012/08/13,dinner,a burger,\"Piper, Kinsley, Piper, Rylee, Hazel, Lydia, Eva\"\ne8952,2012/08/14,breakfast,cereals,Emily\ne8953,2012/08/14,lunch,a burger,\ne8954,2012/08/14,dinner,sushi,\ne8960,2012/08/15,breakfast,peanut-butter-jam,\"Avery, Willow, Benjamin\"\ne8961,2012/08/15,lunch,chinese food,\ne8962,2012/08/15,dinner,sandwich,\ne8968,2012/08/16,breakfast,oatmeal,\ne8969,2012/08/16,lunch,indian food,\ne8970,2012/08/16,dinner,chinese food,\"Kinsley, Lydia, Nevaeh, Layla, Olivia, Nora, Piper\"\ne8977,2012/08/17,breakfast,cereals,\ne8978,2012/08/17,lunch,tacos,\ne8979,2012/08/17,dinner,sushi,\"Olivia, Piper, Rylee, Eva, Avery, Kinsley, Nora, Nevaeh, Hazel, Lydia, Piper, Layla\"\ne8985,2012/08/18,breakfast,cereals,\ne8986,2012/08/18,lunch,indian food,\"Olivia, Lydia, Piper, Nora, Piper, Avery, Hazel, Eva, Kinsley, Claire, Rylee, Nevaeh\"\ne8987,2012/08/18,dinner,steak,\ne8993,2012/08/19,breakfast,cereals,\ne8994,2012/08/19,lunch,fish and chips,\ne8995,2012/08/19,dinner,tacos,\ne9002,2012/08/20,breakfast,pancakes,\ne9003,2012/08/20,lunch,pasta,\ne9004,2012/08/20,dinner,pasta,\ne9011,2012/08/21,breakfast,peanut-butter-jam,\ne9012,2012/08/21,lunch,steak,\"Andrew, Carter, Emily, Kayden\"\ne9013,2012/08/21,dinner,sandwich,\ne9020,2012/08/22,breakfast,peanut-butter-jam,\"Andrew, Carter, Emily, Kayden\"\ne9021,2012/08/22,lunch,tacos,\"Nevaeh, Nora, Rylee, Piper, Hazel, Claire, Kinsley, Avery, Lydia, Piper, Layla, Eva, Olivia\"\ne9022,2012/08/22,dinner,fish and chips,\"Emily, Andrew\"\ne9029,2012/08/23,breakfast,oatmeal,\"Rylee, Claire\"\ne9030,2012/08/23,lunch,tacos,\"Benjamin, Willow, Jackson\"\ne9031,2012/08/23,dinner,chinese food,\ne9038,2012/08/24,breakfast,peanut-butter-jam,\"Benjamin, Jackson\"\ne9039,2012/08/24,lunch,sandwich,\ne9040,2012/08/24,dinner,chinese food,\"Benjamin, Avery, Willow, Jackson\"\ne9047,2012/08/25,breakfast,cereals,Willow\ne9048,2012/08/25,lunch,indian food,\ne9049,2012/08/25,dinner,chinese food,\"Jackson, Willow\"\ne9056,2012/08/26,breakfast,\"eggs, sausages, and bread\",\ne9057,2012/08/26,lunch,fish and chips,\ne9058,2012/08/26,dinner,pasta,\ne9065,2012/08/27,breakfast,\"eggs, sausages, and bread\",Hazel\ne9066,2012/08/27,lunch,sandwich,\ne9067,2012/08/27,dinner,sushi,\ne9075,2012/08/28,breakfast,toast and cheese,\ne9076,2012/08/28,lunch,a burger,\ne9077,2012/08/28,dinner,fish and chips,\ne9084,2012/08/29,breakfast,cereals,\ne9085,2012/08/29,lunch,indian food,\ne9086,2012/08/29,dinner,fish and chips,\ne9093,2012/08/30,breakfast,peanut-butter-jam,\ne9094,2012/08/30,lunch,sushi,\ne9095,2012/08/30,dinner,sushi,\ne9102,2012/08/31,breakfast,oatmeal,\ne9103,2012/08/31,lunch,sushi,\"Carter, Kayden\"\ne9104,2012/08/31,dinner,indian food,\ne9111,2012/09/01,breakfast,oatmeal,\"Kayden, Carter\"\ne9112,2012/09/01,lunch,steak,Nora\ne9113,2012/09/01,dinner,chinese food,\ne9120,2012/09/02,breakfast,cereals,\ne9121,2012/09/02,lunch,sandwich,Layla\ne9122,2012/09/02,dinner,indian food,\"Andrew, Emily, Carter\"\ne9129,2012/09/03,breakfast,pancakes,\ne9130,2012/09/03,lunch,tacos,\"Emily, Carter, Kayden, Andrew\"\ne9131,2012/09/03,dinner,indian food,Emily\ne9137,2012/09/04,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter\"\ne9138,2012/09/04,lunch,sandwich,\"Avery, Willow\"\ne9139,2012/09/04,dinner,chinese food,\"Avery, Willow\"\ne9146,2012/09/05,breakfast,\"eggs, sausages, and bread\",\ne9147,2012/09/05,lunch,indian food,\ne9148,2012/09/05,dinner,indian food,\ne9153,2012/09/06,breakfast,oatmeal,\ne9154,2012/09/06,lunch,sushi,Andrew\ne9155,2012/09/06,dinner,pasta,\"Carter, Andrew\"\ne9162,2012/09/07,breakfast,cereals,\"Andrew, Emily, Carter\"\ne9163,2012/09/07,lunch,tacos,\ne9164,2012/09/07,dinner,sandwich,\"Rylee, Kinsley, Lydia, Nora, Piper, Piper, Claire, Eva, Hazel, Avery, Layla\"\ne9172,2012/09/08,breakfast,pancakes,\ne9173,2012/09/08,lunch,tacos,\"Nevaeh, Hazel, Piper, Piper\"\ne9174,2012/09/08,dinner,indian food,\ne9181,2012/09/09,breakfast,toast and cheese,\ne9182,2012/09/09,lunch,tacos,\"Andrew, Emily, Carter, Kayden\"\ne9183,2012/09/09,dinner,a burger,\ne9190,2012/09/10,breakfast,toast and cheese,\ne9191,2012/09/10,lunch,pasta,\ne9192,2012/09/10,dinner,fish and chips,\"Carter, Emily, Andrew\"\ne9198,2012/09/11,breakfast,peanut-butter-jam,\ne9199,2012/09/11,lunch,chinese food,\ne9200,2012/09/11,dinner,tacos,\ne9207,2012/09/12,breakfast,cereals,\ne9208,2012/09/12,lunch,tacos,\ne9209,2012/09/12,dinner,sandwich,\"Nevaeh, Hazel, Kinsley\"\ne9216,2012/09/13,breakfast,oatmeal,\"Emily, Andrew\"\ne9217,2012/09/13,lunch,fish and chips,\ne9218,2012/09/13,dinner,sushi,\ne9226,2012/09/14,breakfast,oatmeal,\ne9227,2012/09/14,lunch,sushi,\ne9228,2012/09/14,dinner,a burger,\ne9234,2012/09/15,breakfast,oatmeal,\"Hazel, Rylee, Kinsley, Claire, Nevaeh, Eva, Lydia, Olivia, Nora, Piper, Avery, Layla, Piper\"\ne9235,2012/09/15,lunch,a burger,Andrew\ne9236,2012/09/15,dinner,chinese food,\ne9242,2012/09/16,breakfast,cereals,\ne9243,2012/09/16,lunch,sushi,\"Olivia, Nora, Claire, Kinsley, Piper, Avery, Nevaeh, Eva, Lydia, Hazel, Rylee, Layla\"\ne9244,2012/09/16,dinner,a burger,\ne9250,2012/09/17,breakfast,\"eggs, sausages, and bread\",\"Jackson, Benjamin, Willow\"\ne9251,2012/09/17,lunch,indian food,Andrew\ne9252,2012/09/17,dinner,steak,\ne9259,2012/09/18,breakfast,peanut-butter-jam,Benjamin\ne9260,2012/09/18,lunch,pasta,Kayden\ne9261,2012/09/18,dinner,tacos,\ne9268,2012/09/19,breakfast,toast and cheese,\ne9269,2012/09/19,lunch,pasta,\"Emily, Carter\"\ne9270,2012/09/19,dinner,sandwich,\"Emily, Kayden, Andrew\"\ne9278,2012/09/20,breakfast,peanut-butter-jam,\ne9279,2012/09/20,lunch,a burger,\"Benjamin, Jackson, Willow\"\ne9280,2012/09/20,dinner,sandwich,\ne9286,2012/09/21,breakfast,pancakes,\"Eva, Lydia\"\ne9287,2012/09/21,lunch,pasta,\"Emily, Kayden, Andrew, Carter\"\ne9288,2012/09/21,dinner,pasta,Nora\ne9295,2012/09/22,breakfast,oatmeal,\ne9296,2012/09/22,lunch,sushi,\ne9297,2012/09/22,dinner,steak,\ne9305,2012/09/23,breakfast,cereals,\ne9306,2012/09/23,lunch,a burger,\"Emily, Carter\"\ne9307,2012/09/23,dinner,chinese food,Carter\ne9313,2012/09/24,breakfast,pancakes,\"Carter, Emily, Kayden\"\ne9314,2012/09/24,lunch,chinese food,\"Andrew, Carter, Kayden, Emily\"\ne9315,2012/09/24,dinner,pasta,\ne9322,2012/09/25,breakfast,toast and cheese,\ne9323,2012/09/25,lunch,pasta,Carter\ne9324,2012/09/25,dinner,sushi,\"Hazel, Nevaeh, Claire, Eva, Piper, Lydia, Layla, Olivia, Nora, Piper, Kinsley, Rylee\"\ne9330,2012/09/26,breakfast,peanut-butter-jam,\"Lydia, Layla, Rylee, Hazel, Avery, Claire, Piper, Nevaeh, Kinsley, Eva\"\ne9331,2012/09/26,lunch,pasta,\"Olivia, Eva, Layla, Hazel, Nora, Rylee, Lydia, Claire\"\ne9332,2012/09/26,dinner,steak,\ne9338,2012/09/27,breakfast,cereals,\ne9339,2012/09/27,lunch,indian food,Carter\ne9340,2012/09/27,dinner,a burger,\ne9348,2012/09/28,breakfast,toast and cheese,\"Kayden, Andrew, Emily, Carter\"\ne9349,2012/09/28,lunch,chinese food,\ne9350,2012/09/28,dinner,sandwich,Carter\ne9357,2012/09/29,breakfast,peanut-butter-jam,\ne9358,2012/09/29,lunch,sushi,\"Nora, Nevaeh, Olivia, Layla, Avery, Claire, Piper\"\ne9359,2012/09/29,dinner,pasta,\ne9366,2012/09/30,breakfast,toast and cheese,\"Carter, Emily, Kayden\"\ne9367,2012/09/30,lunch,tacos,\ne9368,2012/09/30,dinner,fish and chips,\"Carter, Emily, Andrew, Kayden\"\ne9375,2012/10/01,breakfast,cereals,\ne9376,2012/10/01,lunch,fish and chips,\ne9377,2012/10/01,dinner,chinese food,\"Andrew, Kayden, Carter, Emily\"\ne9383,2012/10/02,breakfast,pancakes,\ne9384,2012/10/02,lunch,chinese food,Jackson\ne9385,2012/10/02,dinner,indian food,\ne9392,2012/10/03,breakfast,toast and cheese,\ne9393,2012/10/03,lunch,indian food,\ne9394,2012/10/03,dinner,chinese food,\ne9402,2012/10/04,breakfast,peanut-butter-jam,\ne9403,2012/10/04,lunch,indian food,\ne9404,2012/10/04,dinner,sushi,\"Avery, Willow, Benjamin, Jackson\"\ne9410,2012/10/05,breakfast,cereals,\ne9411,2012/10/05,lunch,steak,\ne9412,2012/10/05,dinner,indian food,\ne9419,2012/10/06,breakfast,cereals,\ne9420,2012/10/06,lunch,sushi,\ne9421,2012/10/06,dinner,pasta,\ne9427,2012/10/07,breakfast,cereals,\ne9428,2012/10/07,lunch,a burger,\"Nevaeh, Claire, Piper, Avery, Piper, Lydia, Eva, Rylee, Hazel, Nora, Kinsley, Olivia\"\ne9429,2012/10/07,dinner,fish and chips,\ne9436,2012/10/08,breakfast,toast and cheese,\ne9437,2012/10/08,lunch,sandwich,\ne9438,2012/10/08,dinner,chinese food,\"Kayden, Carter, Andrew, Emily\"\ne9445,2012/10/09,breakfast,toast and cheese,\ne9446,2012/10/09,lunch,pasta,\ne9447,2012/10/09,dinner,sandwich,\ne9454,2012/10/10,breakfast,peanut-butter-jam,Andrew\ne9455,2012/10/10,lunch,pasta,\ne9456,2012/10/10,dinner,fish and chips,\ne9463,2012/10/11,breakfast,\"eggs, sausages, and bread\",\ne9464,2012/10/11,lunch,pasta,\"Carter, Emily\"\ne9465,2012/10/11,dinner,a burger,\ne9472,2012/10/12,breakfast,pancakes,\ne9473,2012/10/12,lunch,steak,\ne9474,2012/10/12,dinner,sandwich,\"Andrew, Kayden, Emily, Carter\"\ne9479,2012/10/13,breakfast,cereals,\"Emily, Andrew\"\ne9480,2012/10/13,lunch,chinese food,\ne9481,2012/10/13,dinner,steak,\ne9488,2012/10/14,breakfast,oatmeal,\ne9489,2012/10/14,lunch,pasta,\ne9490,2012/10/14,dinner,steak,\ne9496,2012/10/15,breakfast,toast and cheese,Nevaeh\ne9497,2012/10/15,lunch,tacos,\"Kinsley, Rylee, Piper, Nora, Avery, Nevaeh, Eva\"\ne9498,2012/10/15,dinner,sushi,Carter\ne9505,2012/10/16,breakfast,toast and cheese,\ne9506,2012/10/16,lunch,steak,\ne9507,2012/10/16,dinner,sushi,\ne9514,2012/10/17,breakfast,peanut-butter-jam,\ne9515,2012/10/17,lunch,sandwich,\ne9516,2012/10/17,dinner,sushi,\"Claire, Piper, Eva, Lydia, Layla, Rylee, Hazel, Olivia, Kinsley, Nevaeh, Nora\"\ne9523,2012/10/18,breakfast,cereals,\ne9524,2012/10/18,lunch,indian food,\"Emily, Kayden\"\ne9525,2012/10/18,dinner,sushi,\ne9532,2012/10/19,breakfast,pancakes,Andrew\ne9533,2012/10/19,lunch,pasta,\"Eva, Lydia, Piper, Avery\"\ne9534,2012/10/19,dinner,tacos,\ne9541,2012/10/20,breakfast,oatmeal,\ne9542,2012/10/20,lunch,chinese food,Kayden\ne9543,2012/10/20,dinner,pasta,\ne9551,2012/10/21,breakfast,cereals,\"Avery, Willow, Benjamin, Jackson\"\ne9552,2012/10/21,lunch,sandwich,\ne9553,2012/10/21,dinner,indian food,\ne9559,2012/10/22,breakfast,toast and cheese,\ne9560,2012/10/22,lunch,tacos,\"Emily, Kayden, Andrew, Carter\"\ne9561,2012/10/22,dinner,a burger,\ne9567,2012/10/23,breakfast,oatmeal,\ne9568,2012/10/23,lunch,fish and chips,\ne9569,2012/10/23,dinner,indian food,\ne9576,2012/10/24,breakfast,toast and cheese,\"Avery, Nevaeh, Lydia, Eva, Piper\"\ne9577,2012/10/24,lunch,sandwich,\ne9578,2012/10/24,dinner,fish and chips,\ne9585,2012/10/25,breakfast,peanut-butter-jam,\ne9586,2012/10/25,lunch,sandwich,\"Nora, Piper, Lydia, Rylee\"\ne9587,2012/10/25,dinner,chinese food,Carter\ne9593,2012/10/26,breakfast,peanut-butter-jam,\"Carter, Emily, Kayden\"\ne9594,2012/10/26,lunch,steak,\ne9595,2012/10/26,dinner,sushi,\ne9602,2012/10/27,breakfast,peanut-butter-jam,\ne9603,2012/10/27,lunch,sandwich,\"Willow, Benjamin, Avery\"\ne9604,2012/10/27,dinner,steak,\"Nevaeh, Piper, Claire, Eva\"\ne9610,2012/10/28,breakfast,\"eggs, sausages, and bread\",\ne9611,2012/10/28,lunch,fish and chips,\"Jackson, Benjamin, Avery, Willow\"\ne9612,2012/10/28,dinner,sandwich,Carter\ne9617,2012/10/29,breakfast,cereals,Willow\ne9618,2012/10/29,lunch,fish and chips,\ne9619,2012/10/29,dinner,a burger,\"Kayden, Emily, Carter\"\ne9626,2012/10/30,breakfast,toast and cheese,\ne9627,2012/10/30,lunch,steak,\ne9628,2012/10/30,dinner,sandwich,Carter\ne9636,2012/10/31,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Andrew\"\ne9637,2012/10/31,lunch,a burger,\ne9638,2012/10/31,dinner,pasta,\ne9645,2012/11/01,breakfast,peanut-butter-jam,\ne9646,2012/11/01,lunch,indian food,\ne9647,2012/11/01,dinner,steak,\"Emily, Carter\"\ne9655,2012/11/02,breakfast,\"eggs, sausages, and bread\",\"Jackson, Benjamin\"\ne9656,2012/11/02,lunch,pasta,\ne9657,2012/11/02,dinner,pasta,\ne9663,2012/11/03,breakfast,toast and cheese,\ne9664,2012/11/03,lunch,sushi,\ne9665,2012/11/03,dinner,fish and chips,\ne9673,2012/11/04,breakfast,\"eggs, sausages, and bread\",\ne9674,2012/11/04,lunch,indian food,\"Benjamin, Avery, Willow\"\ne9675,2012/11/04,dinner,chinese food,\ne9682,2012/11/05,breakfast,cereals,\ne9683,2012/11/05,lunch,pasta,\ne9684,2012/11/05,dinner,sandwich,\ne9691,2012/11/06,breakfast,cereals,\ne9692,2012/11/06,lunch,sushi,Carter\ne9693,2012/11/06,dinner,indian food,\ne9699,2012/11/07,breakfast,toast and cheese,\"Nora, Piper, Claire, Lydia, Kinsley, Avery, Nevaeh, Rylee, Piper\"\ne9700,2012/11/07,lunch,a burger,\ne9701,2012/11/07,dinner,tacos,\ne9707,2012/11/08,breakfast,pancakes,\"Kayden, Carter, Emily\"\ne9708,2012/11/08,lunch,fish and chips,\"Kayden, Andrew, Carter\"\ne9709,2012/11/08,dinner,steak,\ne9717,2012/11/09,breakfast,cereals,\"Carter, Emily\"\ne9718,2012/11/09,lunch,indian food,\ne9719,2012/11/09,dinner,sandwich,\ne9724,2012/11/10,breakfast,peanut-butter-jam,\"Carter, Kayden, Emily\"\ne9725,2012/11/10,lunch,pasta,\ne9726,2012/11/10,dinner,tacos,Willow\ne9733,2012/11/11,breakfast,pancakes,\ne9734,2012/11/11,lunch,sushi,\ne9735,2012/11/11,dinner,indian food,\"Carter, Emily, Kayden, Andrew\"\ne9742,2012/11/12,breakfast,cereals,\"Benjamin, Willow, Jackson\"\ne9743,2012/11/12,lunch,tacos,\ne9744,2012/11/12,dinner,chinese food,\ne9751,2012/11/13,breakfast,cereals,\ne9752,2012/11/13,lunch,chinese food,\ne9753,2012/11/13,dinner,sushi,\ne9759,2012/11/14,breakfast,\"eggs, sausages, and bread\",\ne9760,2012/11/14,lunch,pasta,\ne9761,2012/11/14,dinner,steak,Andrew\ne9769,2012/11/15,breakfast,toast and cheese,\ne9770,2012/11/15,lunch,steak,\ne9771,2012/11/15,dinner,a burger,\ne9777,2012/11/16,breakfast,oatmeal,\"Claire, Rylee, Piper, Nevaeh, Nora, Lydia, Avery\"\ne9778,2012/11/16,lunch,tacos,\"Rylee, Claire, Piper, Avery, Layla, Eva, Lydia, Piper, Nora, Hazel, Olivia, Kinsley\"\ne9779,2012/11/16,dinner,chinese food,Carter\ne9786,2012/11/17,breakfast,oatmeal,\"Jackson, Avery, Benjamin, Willow\"\ne9787,2012/11/17,lunch,chinese food,\ne9788,2012/11/17,dinner,pasta,\"Kayden, Andrew\"\ne9795,2012/11/18,breakfast,cereals,Emily\ne9796,2012/11/18,lunch,a burger,\"Benjamin, Jackson, Willow, Avery\"\ne9797,2012/11/18,dinner,indian food,\"Andrew, Emily, Carter\"\ne9803,2012/11/19,breakfast,peanut-butter-jam,\"Emily, Kayden, Andrew, Carter\"\ne9804,2012/11/19,lunch,a burger,\ne9805,2012/11/19,dinner,indian food,\"Kayden, Emily, Andrew, Carter\"\ne9812,2012/11/20,breakfast,toast and cheese,\ne9813,2012/11/20,lunch,steak,\ne9814,2012/11/20,dinner,sushi,\"Kayden, Emily\"\ne9822,2012/11/21,breakfast,toast and cheese,\ne9823,2012/11/21,lunch,pasta,\"Avery, Willow\"\ne9824,2012/11/21,dinner,a burger,\ne9831,2012/11/22,breakfast,oatmeal,\"Kayden, Carter, Andrew, Emily\"\ne9832,2012/11/22,lunch,fish and chips,\ne9833,2012/11/22,dinner,sushi,\ne9839,2012/11/23,breakfast,\"eggs, sausages, and bread\",\ne9840,2012/11/23,lunch,chinese food,\ne9841,2012/11/23,dinner,indian food,\"Kayden, Emily, Carter, Andrew\"\ne9848,2012/11/24,breakfast,oatmeal,\"Willow, Jackson, Benjamin, Avery\"\ne9849,2012/11/24,lunch,sushi,\ne9850,2012/11/24,dinner,pasta,Andrew\ne9856,2012/11/25,breakfast,toast and cheese,\"Piper, Hazel, Nevaeh, Eva, Avery, Layla, Nora, Rylee, Piper\"\ne9857,2012/11/25,lunch,fish and chips,\ne9858,2012/11/25,dinner,sushi,\ne9865,2012/11/26,breakfast,peanut-butter-jam,\"Emily, Carter, Kayden\"\ne9866,2012/11/26,lunch,pasta,\ne9867,2012/11/26,dinner,indian food,Carter\ne9874,2012/11/27,breakfast,oatmeal,\"Andrew, Emily\"\ne9875,2012/11/27,lunch,sandwich,\ne9876,2012/11/27,dinner,chinese food,\ne9880,2012/11/28,breakfast,cereals,\"Benjamin, Willow, Jackson, Avery\"\ne9881,2012/11/28,lunch,a burger,\"Kayden, Emily, Carter\"\ne9882,2012/11/28,dinner,a burger,\ne9888,2012/11/29,breakfast,toast and cheese,\ne9889,2012/11/29,lunch,fish and chips,\ne9890,2012/11/29,dinner,chinese food,\ne9898,2012/11/30,breakfast,\"eggs, sausages, and bread\",\ne9899,2012/11/30,lunch,steak,\ne9900,2012/11/30,dinner,sandwich,\ne9908,2012/12/01,breakfast,pancakes,Olivia\ne9909,2012/12/01,lunch,sushi,\"Andrew, Carter, Kayden, Emily\"\ne9910,2012/12/01,dinner,a burger,\ne9916,2012/12/02,breakfast,\"eggs, sausages, and bread\",\ne9917,2012/12/02,lunch,steak,\ne9918,2012/12/02,dinner,indian food,\ne9923,2012/12/03,breakfast,toast and cheese,\ne9924,2012/12/03,lunch,sushi,\ne9925,2012/12/03,dinner,pasta,\"Lydia, Nora, Piper, Nevaeh\"\ne9931,2012/12/04,breakfast,peanut-butter-jam,\"Piper, Hazel, Eva, Lydia, Piper, Avery, Olivia, Claire, Kinsley, Nevaeh\"\ne9932,2012/12/04,lunch,indian food,\ne9933,2012/12/04,dinner,indian food,\"Andrew, Kayden, Carter, Emily\"\ne9940,2012/12/05,breakfast,oatmeal,\ne9941,2012/12/05,lunch,steak,Kayden\ne9942,2012/12/05,dinner,steak,\ne9948,2012/12/06,breakfast,pancakes,\"Willow, Jackson, Avery\"\ne9949,2012/12/06,lunch,a burger,Emily\ne9950,2012/12/06,dinner,indian food,\"Avery, Hazel, Piper, Kinsley, Lydia, Nevaeh, Layla, Rylee, Claire, Piper\"\ne9957,2012/12/07,breakfast,peanut-butter-jam,\ne9958,2012/12/07,lunch,steak,\ne9959,2012/12/07,dinner,a burger,\ne9966,2012/12/08,breakfast,toast and cheese,\ne9967,2012/12/08,lunch,sushi,\"Benjamin, Avery, Willow, Jackson\"\ne9968,2012/12/08,dinner,chinese food,Layla\ne9974,2012/12/09,breakfast,peanut-butter-jam,\"Kayden, Carter, Emily, Andrew\"\ne9975,2012/12/09,lunch,indian food,\"Andrew, Kayden, Emily, Carter\"\ne9976,2012/12/09,dinner,pasta,\ne9982,2012/12/10,breakfast,peanut-butter-jam,\"Andrew, Kayden, Carter\"\ne9983,2012/12/10,lunch,steak,\ne9984,2012/12/10,dinner,sandwich,\ne9990,2012/12/11,breakfast,pancakes,\ne9991,2012/12/11,lunch,sandwich,\"Kayden, Andrew\"\ne9992,2012/12/11,dinner,tacos,\ne9998,2012/12/12,breakfast,oatmeal,\ne9999,2012/12/12,lunch,pasta,\"Nora, Nevaeh, Piper, Rylee, Avery, Layla, Olivia, Kinsley\"\ne10000,2012/12/12,dinner,steak,\ne10008,2012/12/13,breakfast,toast and cheese,\ne10009,2012/12/13,lunch,a burger,\ne10010,2012/12/13,dinner,steak,\ne10017,2012/12/14,breakfast,\"eggs, sausages, and bread\",\ne10018,2012/12/14,lunch,fish and chips,\ne10019,2012/12/14,dinner,sushi,\ne10024,2012/12/15,breakfast,toast and cheese,\"Avery, Jackson, Benjamin\"\ne10025,2012/12/15,lunch,chinese food,\ne10026,2012/12/15,dinner,chinese food,\"Benjamin, Willow, Jackson\"\ne10034,2012/12/16,breakfast,oatmeal,Carter\ne10035,2012/12/16,lunch,fish and chips,Kayden\ne10036,2012/12/16,dinner,chinese food,Emily\ne10042,2012/12/17,breakfast,pancakes,\ne10043,2012/12/17,lunch,steak,\ne10044,2012/12/17,dinner,sushi,\ne10051,2012/12/18,breakfast,oatmeal,\"Andrew, Emily, Kayden\"\ne10052,2012/12/18,lunch,pasta,\"Hazel, Eva, Piper, Avery, Nevaeh, Rylee, Claire\"\ne10053,2012/12/18,dinner,tacos,\"Emily, Kayden, Andrew, Carter\"\ne10060,2012/12/19,breakfast,oatmeal,\ne10061,2012/12/19,lunch,pasta,\ne10062,2012/12/19,dinner,sandwich,\"Layla, Lydia, Nevaeh, Nora, Eva\"\ne10068,2012/12/20,breakfast,toast and cheese,\"Willow, Avery\"\ne10069,2012/12/20,lunch,fish and chips,\"Hazel, Rylee, Piper, Kinsley, Layla, Piper, Nevaeh, Nora, Avery, Eva, Lydia, Olivia, Claire\"\ne10070,2012/12/20,dinner,indian food,\ne10077,2012/12/21,breakfast,pancakes,\ne10078,2012/12/21,lunch,steak,\"Willow, Avery, Jackson, Benjamin\"\ne10079,2012/12/21,dinner,fish and chips,\ne10086,2012/12/22,breakfast,oatmeal,\ne10087,2012/12/22,lunch,sandwich,\ne10088,2012/12/22,dinner,fish and chips,Emily\ne10095,2012/12/23,breakfast,toast and cheese,\"Olivia, Hazel, Nevaeh, Nora, Claire, Lydia, Eva, Rylee, Kinsley, Piper\"\ne10096,2012/12/23,lunch,sushi,\ne10097,2012/12/23,dinner,fish and chips,\"Avery, Jackson, Willow, Benjamin\"\ne10101,2012/12/24,breakfast,peanut-butter-jam,\ne10102,2012/12/24,lunch,sandwich,\ne10103,2012/12/24,dinner,steak,\ne10111,2012/12/25,breakfast,cereals,\ne10112,2012/12/25,lunch,fish and chips,\"Emily, Andrew, Carter, Kayden\"\ne10113,2012/12/25,dinner,steak,\"Kayden, Carter, Andrew\"\ne10121,2012/12/26,breakfast,pancakes,\ne10122,2012/12/26,lunch,fish and chips,\ne10123,2012/12/26,dinner,chinese food,\ne10130,2012/12/27,breakfast,cereals,\ne10131,2012/12/27,lunch,sushi,\ne10132,2012/12/27,dinner,tacos,\ne10139,2012/12/28,breakfast,toast and cheese,\ne10140,2012/12/28,lunch,steak,\ne10141,2012/12/28,dinner,steak,\"Emily, Andrew, Kayden, Carter\"\ne10148,2012/12/29,breakfast,peanut-butter-jam,\ne10149,2012/12/29,lunch,sandwich,\"Carter, Kayden, Emily\"\ne10150,2012/12/29,dinner,indian food,\ne10157,2012/12/30,breakfast,cereals,\ne10158,2012/12/30,lunch,indian food,\"Kayden, Carter\"\ne10159,2012/12/30,dinner,tacos,\ne10167,2012/12/31,breakfast,peanut-butter-jam,\ne10168,2012/12/31,lunch,fish and chips,\ne10169,2012/12/31,dinner,tacos,\ne10353,2013/01/01,breakfast,oatmeal,\ne10354,2013/01/01,lunch,sushi,Emily\ne10355,2013/01/01,dinner,sandwich,\ne10361,2013/01/02,breakfast,pancakes,\ne10362,2013/01/02,lunch,pasta,\ne10363,2013/01/02,dinner,fish and chips,\"Kayden, Andrew\"\ne10370,2013/01/03,breakfast,pancakes,\"Emily, Andrew, Kayden\"\ne10371,2013/01/03,lunch,pasta,\"Emily, Carter, Kayden, Andrew\"\ne10372,2013/01/03,dinner,a burger,\ne10378,2013/01/04,breakfast,oatmeal,\ne10379,2013/01/04,lunch,a burger,\ne10380,2013/01/04,dinner,indian food,\ne10388,2013/01/05,breakfast,toast and cheese,\ne10389,2013/01/05,lunch,pasta,\ne10390,2013/01/05,dinner,fish and chips,Layla\ne10397,2013/01/06,breakfast,cereals,Andrew\ne10398,2013/01/06,lunch,tacos,\ne10399,2013/01/06,dinner,tacos,\ne10407,2013/01/07,breakfast,toast and cheese,\ne10408,2013/01/07,lunch,fish and chips,\"Andrew, Carter\"\ne10409,2013/01/07,dinner,tacos,\"Benjamin, Willow\"\ne10415,2013/01/08,breakfast,toast and cheese,\ne10416,2013/01/08,lunch,fish and chips,\ne10417,2013/01/08,dinner,chinese food,\"Emily, Kayden, Andrew\"\ne10423,2013/01/09,breakfast,peanut-butter-jam,\ne10424,2013/01/09,lunch,sushi,\ne10425,2013/01/09,dinner,sandwich,\ne10430,2013/01/10,breakfast,toast and cheese,Carter\ne10431,2013/01/10,lunch,fish and chips,\"Hazel, Nora, Piper\"\ne10432,2013/01/10,dinner,fish and chips,\ne10439,2013/01/11,breakfast,cereals,\ne10440,2013/01/11,lunch,pasta,\ne10441,2013/01/11,dinner,tacos,\"Carter, Kayden, Andrew, Emily\"\ne10447,2013/01/12,breakfast,toast and cheese,\"Kayden, Emily\"\ne10448,2013/01/12,lunch,steak,Willow\ne10449,2013/01/12,dinner,a burger,\"Andrew, Carter, Emily\"\ne10456,2013/01/13,breakfast,toast and cheese,\ne10457,2013/01/13,lunch,chinese food,\"Kayden, Emily, Andrew\"\ne10458,2013/01/13,dinner,chinese food,\ne10465,2013/01/14,breakfast,cereals,\ne10466,2013/01/14,lunch,chinese food,\ne10467,2013/01/14,dinner,chinese food,\"Lydia, Olivia, Avery, Eva, Nevaeh, Kinsley, Nora, Hazel, Layla, Piper, Claire, Piper, Rylee\"\ne10473,2013/01/15,breakfast,pancakes,\"Benjamin, Avery\"\ne10474,2013/01/15,lunch,sandwich,Emily\ne10475,2013/01/15,dinner,fish and chips,\ne10481,2013/01/16,breakfast,pancakes,\ne10482,2013/01/16,lunch,sandwich,\ne10483,2013/01/16,dinner,tacos,Willow\ne10491,2013/01/17,breakfast,peanut-butter-jam,\"Emily, Andrew\"\ne10492,2013/01/17,lunch,a burger,\ne10493,2013/01/17,dinner,pasta,\ne10499,2013/01/18,breakfast,cereals,\ne10500,2013/01/18,lunch,a burger,\ne10501,2013/01/18,dinner,chinese food,\ne10508,2013/01/19,breakfast,cereals,\ne10509,2013/01/19,lunch,pasta,Andrew\ne10510,2013/01/19,dinner,fish and chips,\"Layla, Hazel, Rylee, Lydia, Eva, Avery, Piper, Kinsley\"\ne10516,2013/01/20,breakfast,oatmeal,\"Avery, Benjamin, Jackson\"\ne10517,2013/01/20,lunch,indian food,\ne10518,2013/01/20,dinner,tacos,\"Carter, Emily, Kayden, Andrew\"\ne10525,2013/01/21,breakfast,pancakes,\ne10526,2013/01/21,lunch,tacos,\"Benjamin, Jackson, Willow\"\ne10527,2013/01/21,dinner,chinese food,\ne10533,2013/01/22,breakfast,toast and cheese,\ne10534,2013/01/22,lunch,tacos,\ne10535,2013/01/22,dinner,fish and chips,\ne10541,2013/01/23,breakfast,peanut-butter-jam,\ne10542,2013/01/23,lunch,indian food,\"Benjamin, Jackson, Willow, Avery\"\ne10543,2013/01/23,dinner,pasta,\ne10548,2013/01/24,breakfast,peanut-butter-jam,\ne10549,2013/01/24,lunch,a burger,\ne10550,2013/01/24,dinner,sushi,\ne10557,2013/01/25,breakfast,\"eggs, sausages, and bread\",\ne10558,2013/01/25,lunch,steak,\ne10559,2013/01/25,dinner,tacos,\"Nora, Olivia, Eva, Rylee, Claire, Piper, Lydia, Hazel, Nevaeh\"\ne10565,2013/01/26,breakfast,\"eggs, sausages, and bread\",\"Avery, Benjamin, Willow, Jackson\"\ne10566,2013/01/26,lunch,a burger,\"Kinsley, Nora, Rylee, Nevaeh, Claire, Layla, Piper, Avery\"\ne10567,2013/01/26,dinner,chinese food,\ne10573,2013/01/27,breakfast,oatmeal,\ne10574,2013/01/27,lunch,chinese food,\ne10575,2013/01/27,dinner,pasta,\ne10582,2013/01/28,breakfast,pancakes,\ne10583,2013/01/28,lunch,sushi,\"Kayden, Andrew\"\ne10584,2013/01/28,dinner,pasta,\ne10590,2013/01/29,breakfast,cereals,\ne10591,2013/01/29,lunch,sandwich,\"Kayden, Andrew\"\ne10592,2013/01/29,dinner,tacos,\ne10599,2013/01/30,breakfast,pancakes,Carter\ne10600,2013/01/30,lunch,indian food,\"Carter, Kayden\"\ne10601,2013/01/30,dinner,steak,\ne10608,2013/01/31,breakfast,pancakes,\ne10609,2013/01/31,lunch,fish and chips,Andrew\ne10610,2013/01/31,dinner,fish and chips,\ne10618,2013/02/01,breakfast,cereals,\"Kinsley, Piper, Piper, Claire, Eva\"\ne10619,2013/02/01,lunch,sushi,Emily\ne10620,2013/02/01,dinner,sandwich,Emily\ne10626,2013/02/02,breakfast,toast and cheese,\"Kinsley, Nevaeh, Lydia, Piper, Nora, Olivia, Rylee, Claire, Piper, Layla, Avery, Hazel, Eva\"\ne10627,2013/02/02,lunch,pasta,\"Carter, Kayden, Andrew, Emily\"\ne10628,2013/02/02,dinner,steak,\"Avery, Willow, Jackson, Benjamin\"\ne10634,2013/02/03,breakfast,peanut-butter-jam,\ne10635,2013/02/03,lunch,steak,\"Andrew, Carter, Emily\"\ne10636,2013/02/03,dinner,fish and chips,\ne10642,2013/02/04,breakfast,\"eggs, sausages, and bread\",\ne10643,2013/02/04,lunch,fish and chips,\"Andrew, Emily\"\ne10644,2013/02/04,dinner,a burger,\ne10651,2013/02/05,breakfast,\"eggs, sausages, and bread\",\"Andrew, Carter, Kayden, Emily\"\ne10652,2013/02/05,lunch,pasta,\ne10653,2013/02/05,dinner,fish and chips,\"Kayden, Carter, Emily, Andrew\"\ne10661,2013/02/06,breakfast,pancakes,\ne10662,2013/02/06,lunch,pasta,\ne10663,2013/02/06,dinner,chinese food,\ne10669,2013/02/07,breakfast,cereals,\"Avery, Rylee, Hazel, Piper, Piper, Nora, Lydia, Layla, Olivia\"\ne10670,2013/02/07,lunch,a burger,\ne10671,2013/02/07,dinner,sushi,\ne10677,2013/02/08,breakfast,toast and cheese,\"Jackson, Benjamin, Avery\"\ne10678,2013/02/08,lunch,chinese food,\"Avery, Benjamin, Willow\"\ne10679,2013/02/08,dinner,sushi,\"Kayden, Emily, Carter, Andrew\"\ne10686,2013/02/09,breakfast,toast and cheese,\ne10687,2013/02/09,lunch,sushi,\ne10688,2013/02/09,dinner,sushi,\ne10695,2013/02/10,breakfast,pancakes,\ne10696,2013/02/10,lunch,indian food,\"Andrew, Kayden, Emily, Carter\"\ne10697,2013/02/10,dinner,sushi,\"Jackson, Benjamin, Willow\"\ne10704,2013/02/11,breakfast,pancakes,Jackson\ne10705,2013/02/11,lunch,tacos,\ne10706,2013/02/11,dinner,indian food,\"Avery, Lydia\"\ne10713,2013/02/12,breakfast,peanut-butter-jam,\"Avery, Willow, Jackson\"\ne10714,2013/02/12,lunch,tacos,\ne10715,2013/02/12,dinner,sushi,\"Eva, Nevaeh, Lydia, Avery, Piper, Nora, Olivia, Claire, Layla, Kinsley, Rylee\"\ne10721,2013/02/13,breakfast,pancakes,\"Avery, Benjamin, Jackson, Willow\"\ne10722,2013/02/13,lunch,a burger,\ne10723,2013/02/13,dinner,sandwich,\ne10731,2013/02/14,breakfast,toast and cheese,\ne10732,2013/02/14,lunch,sandwich,\ne10733,2013/02/14,dinner,chinese food,\"Kayden, Emily, Carter\"\ne10741,2013/02/15,breakfast,cereals,\ne10742,2013/02/15,lunch,steak,\ne10743,2013/02/15,dinner,sandwich,\ne10751,2013/02/16,breakfast,peanut-butter-jam,\ne10752,2013/02/16,lunch,indian food,\ne10753,2013/02/16,dinner,chinese food,\ne10760,2013/02/17,breakfast,pancakes,\ne10761,2013/02/17,lunch,steak,\"Kayden, Andrew\"\ne10762,2013/02/17,dinner,steak,\ne10768,2013/02/18,breakfast,oatmeal,\ne10769,2013/02/18,lunch,a burger,\ne10770,2013/02/18,dinner,fish and chips,\ne10777,2013/02/19,breakfast,cereals,Carter\ne10778,2013/02/19,lunch,steak,\"Kayden, Emily\"\ne10779,2013/02/19,dinner,sandwich,\"Carter, Kayden\"\ne10787,2013/02/20,breakfast,cereals,\"Jackson, Avery, Benjamin\"\ne10788,2013/02/20,lunch,sushi,\"Avery, Jackson, Benjamin, Willow\"\ne10789,2013/02/20,dinner,indian food,\ne10796,2013/02/21,breakfast,\"eggs, sausages, and bread\",\ne10797,2013/02/21,lunch,sushi,\ne10798,2013/02/21,dinner,tacos,\ne10804,2013/02/22,breakfast,pancakes,\ne10805,2013/02/22,lunch,sandwich,\ne10806,2013/02/22,dinner,chinese food,Emily\ne10813,2013/02/23,breakfast,oatmeal,\"Andrew, Kayden, Emily\"\ne10814,2013/02/23,lunch,fish and chips,\"Carter, Andrew, Kayden, Emily\"\ne10815,2013/02/23,dinner,tacos,Kayden\ne10821,2013/02/24,breakfast,peanut-butter-jam,Willow\ne10822,2013/02/24,lunch,tacos,\"Andrew, Kayden\"\ne10823,2013/02/24,dinner,indian food,\"Carter, Andrew, Emily, Kayden\"\ne10830,2013/02/25,breakfast,\"eggs, sausages, and bread\",\ne10831,2013/02/25,lunch,pasta,\ne10832,2013/02/25,dinner,pasta,\ne10838,2013/02/26,breakfast,oatmeal,\ne10839,2013/02/26,lunch,pasta,\ne10840,2013/02/26,dinner,pasta,\ne10846,2013/02/27,breakfast,peanut-butter-jam,\ne10847,2013/02/27,lunch,sushi,\"Nora, Claire\"\ne10848,2013/02/27,dinner,tacos,\"Emily, Andrew\"\ne10855,2013/02/28,breakfast,cereals,\"Andrew, Kayden\"\ne10856,2013/02/28,lunch,fish and chips,\ne10857,2013/02/28,dinner,indian food,\"Carter, Emily\"\ne10863,2013/03/01,breakfast,peanut-butter-jam,\ne10864,2013/03/01,lunch,a burger,\"Layla, Claire, Nevaeh, Avery, Eva, Piper, Hazel\"\ne10865,2013/03/01,dinner,sandwich,\ne10870,2013/03/02,breakfast,cereals,\ne10871,2013/03/02,lunch,fish and chips,\ne10872,2013/03/02,dinner,sushi,\"Andrew, Carter\"\ne10878,2013/03/03,breakfast,pancakes,Avery\ne10879,2013/03/03,lunch,a burger,\"Kayden, Andrew, Carter, Emily\"\ne10880,2013/03/03,dinner,sushi,\"Emily, Kayden, Carter, Andrew\"\ne10887,2013/03/04,breakfast,oatmeal,\ne10888,2013/03/04,lunch,fish and chips,Andrew\ne10889,2013/03/04,dinner,sandwich,\ne10894,2013/03/05,breakfast,toast and cheese,\ne10895,2013/03/05,lunch,sandwich,\ne10896,2013/03/05,dinner,fish and chips,\ne10904,2013/03/06,breakfast,cereals,\"Willow, Avery, Benjamin\"\ne10905,2013/03/06,lunch,steak,\ne10906,2013/03/06,dinner,steak,\ne10913,2013/03/07,breakfast,\"eggs, sausages, and bread\",\ne10914,2013/03/07,lunch,sandwich,Benjamin\ne10915,2013/03/07,dinner,sushi,\ne10922,2013/03/08,breakfast,cereals,\"Emily, Andrew\"\ne10923,2013/03/08,lunch,chinese food,\ne10924,2013/03/08,dinner,chinese food,\ne10932,2013/03/09,breakfast,cereals,\ne10933,2013/03/09,lunch,sandwich,\ne10934,2013/03/09,dinner,steak,\"Carter, Andrew, Emily\"\ne10941,2013/03/10,breakfast,pancakes,\ne10942,2013/03/10,lunch,indian food,\ne10943,2013/03/10,dinner,fish and chips,\"Rylee, Olivia, Hazel, Nora\"\ne10949,2013/03/11,breakfast,peanut-butter-jam,\ne10950,2013/03/11,lunch,sushi,\"Hazel, Layla, Nora, Eva, Claire, Rylee, Avery, Olivia, Nevaeh, Kinsley, Lydia\"\ne10951,2013/03/11,dinner,steak,\ne10958,2013/03/12,breakfast,\"eggs, sausages, and bread\",\ne10959,2013/03/12,lunch,chinese food,\"Andrew, Carter, Emily\"\ne10960,2013/03/12,dinner,steak,\"Hazel, Avery, Rylee, Layla, Kinsley, Piper, Piper, Nevaeh, Lydia, Eva, Olivia, Nora\"\ne10968,2013/03/13,breakfast,oatmeal,\ne10969,2013/03/13,lunch,pasta,\"Emily, Kayden, Andrew\"\ne10970,2013/03/13,dinner,sushi,\ne10977,2013/03/14,breakfast,cereals,\ne10978,2013/03/14,lunch,indian food,\ne10979,2013/03/14,dinner,pasta,\"Emily, Carter, Andrew, Kayden\"\ne10986,2013/03/15,breakfast,pancakes,\"Nora, Layla, Avery, Kinsley, Olivia, Eva, Piper\"\ne10987,2013/03/15,lunch,pasta,\ne10988,2013/03/15,dinner,indian food,\"Kayden, Andrew, Carter\"\ne10995,2013/03/16,breakfast,toast and cheese,\"Kayden, Emily\"\ne10996,2013/03/16,lunch,a burger,Andrew\ne10997,2013/03/16,dinner,sandwich,\"Jackson, Willow\"\ne11005,2013/03/17,breakfast,cereals,\ne11006,2013/03/17,lunch,sandwich,\ne11007,2013/03/17,dinner,chinese food,\"Claire, Rylee\"\ne11014,2013/03/18,breakfast,peanut-butter-jam,\"Benjamin, Jackson, Willow, Avery\"\ne11015,2013/03/18,lunch,chinese food,\ne11016,2013/03/18,dinner,chinese food,\ne11024,2013/03/19,breakfast,oatmeal,\ne11025,2013/03/19,lunch,indian food,Carter\ne11026,2013/03/19,dinner,sushi,\"Carter, Emily\"\ne11031,2013/03/20,breakfast,cereals,\"Eva, Rylee, Kinsley\"\ne11032,2013/03/20,lunch,fish and chips,\ne11033,2013/03/20,dinner,a burger,\ne11039,2013/03/21,breakfast,cereals,\"Kayden, Andrew\"\ne11040,2013/03/21,lunch,sushi,\"Emily, Carter\"\ne11041,2013/03/21,dinner,chinese food,\ne11048,2013/03/22,breakfast,cereals,\ne11049,2013/03/22,lunch,steak,\ne11050,2013/03/22,dinner,chinese food,\ne11056,2013/03/23,breakfast,oatmeal,\"Hazel, Lydia, Eva\"\ne11057,2013/03/23,lunch,chinese food,\"Emily, Andrew, Kayden\"\ne11058,2013/03/23,dinner,steak,\"Nevaeh, Lydia\"\ne11064,2013/03/24,breakfast,peanut-butter-jam,Jackson\ne11065,2013/03/24,lunch,sushi,Carter\ne11066,2013/03/24,dinner,pasta,\ne11072,2013/03/25,breakfast,cereals,\"Kayden, Carter, Andrew\"\ne11073,2013/03/25,lunch,pasta,\ne11074,2013/03/25,dinner,sushi,\ne11080,2013/03/26,breakfast,toast and cheese,\ne11081,2013/03/26,lunch,a burger,\ne11082,2013/03/26,dinner,chinese food,\"Carter, Kayden, Andrew, Emily\"\ne11087,2013/03/27,breakfast,\"eggs, sausages, and bread\",\ne11088,2013/03/27,lunch,a burger,\ne11089,2013/03/27,dinner,chinese food,\ne11096,2013/03/28,breakfast,\"eggs, sausages, and bread\",\ne11097,2013/03/28,lunch,sandwich,\ne11098,2013/03/28,dinner,indian food,\"Andrew, Emily\"\ne11105,2013/03/29,breakfast,oatmeal,\"Andrew, Kayden\"\ne11106,2013/03/29,lunch,tacos,Kayden\ne11107,2013/03/29,dinner,sushi,\ne11113,2013/03/30,breakfast,toast and cheese,\"Nora, Nevaeh, Piper, Eva, Piper, Lydia, Olivia, Hazel, Rylee, Kinsley, Layla\"\ne11114,2013/03/30,lunch,indian food,\ne11115,2013/03/30,dinner,sushi,\ne11121,2013/03/31,breakfast,pancakes,\ne11122,2013/03/31,lunch,pasta,\ne11123,2013/03/31,dinner,a burger,\ne11129,2013/04/01,breakfast,peanut-butter-jam,\ne11130,2013/04/01,lunch,steak,\"Layla, Eva, Avery, Piper, Kinsley, Nora, Lydia, Hazel\"\ne11131,2013/04/01,dinner,sandwich,\ne11137,2013/04/02,breakfast,pancakes,\"Jackson, Avery, Willow, Benjamin\"\ne11138,2013/04/02,lunch,fish and chips,\"Andrew, Kayden, Emily, Carter\"\ne11139,2013/04/02,dinner,sushi,\ne11146,2013/04/03,breakfast,toast and cheese,\ne11147,2013/04/03,lunch,chinese food,\"Olivia, Hazel, Kinsley\"\ne11148,2013/04/03,dinner,chinese food,\ne11155,2013/04/04,breakfast,cereals,\ne11156,2013/04/04,lunch,sandwich,\ne11157,2013/04/04,dinner,a burger,\ne11164,2013/04/05,breakfast,pancakes,\ne11165,2013/04/05,lunch,a burger,\ne11166,2013/04/05,dinner,chinese food,\"Lydia, Hazel, Kinsley, Nevaeh, Nora, Avery, Rylee\"\ne11173,2013/04/06,breakfast,toast and cheese,\ne11174,2013/04/06,lunch,indian food,\ne11175,2013/04/06,dinner,sandwich,Kayden\ne11182,2013/04/07,breakfast,\"eggs, sausages, and bread\",\"Olivia, Lydia, Nevaeh, Avery, Nora, Layla, Piper, Piper, Eva, Hazel, Rylee, Kinsley, Claire\"\ne11183,2013/04/07,lunch,pasta,\"Kayden, Carter\"\ne11184,2013/04/07,dinner,indian food,\"Willow, Avery, Benjamin\"\ne11189,2013/04/08,breakfast,\"eggs, sausages, and bread\",\ne11190,2013/04/08,lunch,chinese food,\ne11191,2013/04/08,dinner,indian food,\ne11197,2013/04/09,breakfast,\"eggs, sausages, and bread\",\ne11198,2013/04/09,lunch,fish and chips,\ne11199,2013/04/09,dinner,sandwich,\"Andrew, Carter\"\ne11205,2013/04/10,breakfast,oatmeal,\"Carter, Kayden\"\ne11206,2013/04/10,lunch,steak,\ne11207,2013/04/10,dinner,pasta,\ne11214,2013/04/11,breakfast,cereals,\ne11215,2013/04/11,lunch,indian food,\ne11216,2013/04/11,dinner,steak,\ne11223,2013/04/12,breakfast,toast and cheese,\"Avery, Kinsley, Rylee, Hazel, Claire\"\ne11224,2013/04/12,lunch,pasta,\"Hazel, Eva, Piper\"\ne11225,2013/04/12,dinner,a burger,\ne11233,2013/04/13,breakfast,pancakes,\ne11234,2013/04/13,lunch,pasta,Carter\ne11235,2013/04/13,dinner,steak,\ne11242,2013/04/14,breakfast,cereals,\"Carter, Emily\"\ne11243,2013/04/14,lunch,steak,\ne11244,2013/04/14,dinner,chinese food,\"Avery, Willow, Benjamin, Jackson\"\ne11250,2013/04/15,breakfast,oatmeal,\ne11251,2013/04/15,lunch,sandwich,\ne11252,2013/04/15,dinner,a burger,\ne11260,2013/04/16,breakfast,toast and cheese,\ne11261,2013/04/16,lunch,tacos,\"Benjamin, Jackson, Willow\"\ne11262,2013/04/16,dinner,steak,\ne11269,2013/04/17,breakfast,\"eggs, sausages, and bread\",\ne11270,2013/04/17,lunch,steak,\ne11271,2013/04/17,dinner,steak,Jackson\ne11278,2013/04/18,breakfast,peanut-butter-jam,Jackson\ne11279,2013/04/18,lunch,fish and chips,\ne11280,2013/04/18,dinner,sandwich,\ne11287,2013/04/19,breakfast,oatmeal,\ne11288,2013/04/19,lunch,tacos,Andrew\ne11289,2013/04/19,dinner,pasta,\ne11296,2013/04/20,breakfast,oatmeal,\ne11297,2013/04/20,lunch,fish and chips,Carter\ne11298,2013/04/20,dinner,sushi,\ne11306,2013/04/21,breakfast,pancakes,\ne11307,2013/04/21,lunch,tacos,\ne11308,2013/04/21,dinner,indian food,\"Layla, Lydia, Piper, Olivia, Nora, Claire, Avery, Kinsley, Rylee, Hazel, Eva, Piper\"\ne11316,2013/04/22,breakfast,peanut-butter-jam,\"Olivia, Claire, Piper, Nora, Eva, Avery, Rylee, Hazel, Kinsley, Lydia\"\ne11317,2013/04/22,lunch,pasta,\"Carter, Kayden, Andrew\"\ne11318,2013/04/22,dinner,steak,\ne11325,2013/04/23,breakfast,toast and cheese,\ne11326,2013/04/23,lunch,tacos,\ne11327,2013/04/23,dinner,pasta,\ne11334,2013/04/24,breakfast,peanut-butter-jam,\"Emily, Carter\"\ne11335,2013/04/24,lunch,a burger,\ne11336,2013/04/24,dinner,chinese food,Andrew\ne11343,2013/04/25,breakfast,oatmeal,\"Kayden, Carter, Andrew\"\ne11344,2013/04/25,lunch,indian food,\"Avery, Lydia, Piper, Hazel\"\ne11345,2013/04/25,dinner,sushi,\ne11351,2013/04/26,breakfast,\"eggs, sausages, and bread\",\ne11352,2013/04/26,lunch,fish and chips,\"Jackson, Willow, Benjamin\"\ne11353,2013/04/26,dinner,steak,\"Andrew, Carter, Emily, Kayden\"\ne11360,2013/04/27,breakfast,pancakes,Kayden\ne11361,2013/04/27,lunch,pasta,\ne11362,2013/04/27,dinner,indian food,\ne11368,2013/04/28,breakfast,oatmeal,\ne11369,2013/04/28,lunch,chinese food,Emily\ne11370,2013/04/28,dinner,chinese food,\ne11377,2013/04/29,breakfast,cereals,\ne11378,2013/04/29,lunch,indian food,\ne11379,2013/04/29,dinner,sandwich,\ne11386,2013/04/30,breakfast,pancakes,\ne11387,2013/04/30,lunch,a burger,\"Willow, Avery, Jackson, Benjamin\"\ne11388,2013/04/30,dinner,steak,Rylee\ne11394,2013/05/01,breakfast,\"eggs, sausages, and bread\",\ne11395,2013/05/01,lunch,sandwich,\ne11396,2013/05/01,dinner,sushi,\ne11403,2013/05/02,breakfast,oatmeal,\ne11404,2013/05/02,lunch,sandwich,\ne11405,2013/05/02,dinner,sandwich,\"Willow, Avery, Jackson\"\ne11411,2013/05/03,breakfast,\"eggs, sausages, and bread\",\ne11412,2013/05/03,lunch,steak,\"Carter, Kayden, Andrew\"\ne11413,2013/05/03,dinner,sandwich,\ne11419,2013/05/04,breakfast,pancakes,\ne11420,2013/05/04,lunch,pasta,\"Kinsley, Lydia, Layla, Hazel, Piper, Eva\"\ne11421,2013/05/04,dinner,fish and chips,\ne11427,2013/05/05,breakfast,peanut-butter-jam,Andrew\ne11428,2013/05/05,lunch,indian food,Benjamin\ne11429,2013/05/05,dinner,fish and chips,\"Hazel, Kinsley, Rylee, Layla, Lydia, Nora, Eva, Avery, Piper\"\ne11434,2013/05/06,breakfast,toast and cheese,\ne11435,2013/05/06,lunch,sushi,\ne11436,2013/05/06,dinner,sandwich,\"Carter, Emily\"\ne11443,2013/05/07,breakfast,cereals,\"Jackson, Avery\"\ne11444,2013/05/07,lunch,fish and chips,\ne11445,2013/05/07,dinner,sushi,\"Carter, Andrew\"\ne11451,2013/05/08,breakfast,cereals,Andrew\ne11452,2013/05/08,lunch,pasta,\ne11453,2013/05/08,dinner,steak,\ne11458,2013/05/09,breakfast,cereals,Kinsley\ne11459,2013/05/09,lunch,tacos,\ne11460,2013/05/09,dinner,sandwich,\ne11465,2013/05/10,breakfast,toast and cheese,\ne11466,2013/05/10,lunch,sandwich,\ne11467,2013/05/10,dinner,tacos,\ne11472,2013/05/11,breakfast,peanut-butter-jam,\ne11473,2013/05/11,lunch,chinese food,\ne11474,2013/05/11,dinner,fish and chips,Andrew\ne11479,2013/05/12,breakfast,\"eggs, sausages, and bread\",\ne11480,2013/05/12,lunch,indian food,\ne11481,2013/05/12,dinner,sandwich,\ne11487,2013/05/13,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily, Andrew, Kayden\"\ne11488,2013/05/13,lunch,sushi,\ne11489,2013/05/13,dinner,chinese food,\"Rylee, Eva\"\ne11496,2013/05/14,breakfast,peanut-butter-jam,\ne11497,2013/05/14,lunch,a burger,\"Kinsley, Rylee, Avery, Olivia, Nora\"\ne11498,2013/05/14,dinner,sushi,\ne11503,2013/05/15,breakfast,cereals,Kayden\ne11504,2013/05/15,lunch,fish and chips,\"Jackson, Benjamin, Avery, Willow\"\ne11505,2013/05/15,dinner,sushi,\ne11511,2013/05/16,breakfast,toast and cheese,\ne11512,2013/05/16,lunch,tacos,\ne11513,2013/05/16,dinner,a burger,\ne11519,2013/05/17,breakfast,peanut-butter-jam,\"Emily, Kayden\"\ne11520,2013/05/17,lunch,sushi,\ne11521,2013/05/17,dinner,a burger,\ne11526,2013/05/18,breakfast,toast and cheese,Emily\ne11527,2013/05/18,lunch,a burger,\"Carter, Emily\"\ne11528,2013/05/18,dinner,pasta,\ne11534,2013/05/19,breakfast,pancakes,\"Emily, Carter, Andrew\"\ne11535,2013/05/19,lunch,a burger,\ne11536,2013/05/19,dinner,tacos,\ne11544,2013/05/20,breakfast,toast and cheese,\"Willow, Jackson, Avery, Benjamin\"\ne11545,2013/05/20,lunch,chinese food,\ne11546,2013/05/20,dinner,sushi,\ne11552,2013/05/21,breakfast,\"eggs, sausages, and bread\",\ne11553,2013/05/21,lunch,indian food,\ne11554,2013/05/21,dinner,tacos,\ne11561,2013/05/22,breakfast,\"eggs, sausages, and bread\",\ne11562,2013/05/22,lunch,chinese food,\ne11563,2013/05/22,dinner,pasta,\ne11570,2013/05/23,breakfast,oatmeal,\ne11571,2013/05/23,lunch,steak,Jackson\ne11572,2013/05/23,dinner,tacos,\"Carter, Emily, Andrew, Kayden\"\ne11580,2013/05/24,breakfast,toast and cheese,\ne11581,2013/05/24,lunch,a burger,\ne11582,2013/05/24,dinner,a burger,\ne11590,2013/05/25,breakfast,\"eggs, sausages, and bread\",Avery\ne11591,2013/05/25,lunch,sushi,\"Eva, Lydia, Piper\"\ne11592,2013/05/25,dinner,chinese food,\"Kayden, Andrew\"\ne11599,2013/05/26,breakfast,cereals,\"Benjamin, Avery, Jackson, Willow\"\ne11600,2013/05/26,lunch,fish and chips,\ne11601,2013/05/26,dinner,a burger,\"Hazel, Layla, Piper, Nora, Kinsley\"\ne11606,2013/05/27,breakfast,\"eggs, sausages, and bread\",\ne11607,2013/05/27,lunch,sushi,\ne11608,2013/05/27,dinner,pasta,\ne11615,2013/05/28,breakfast,oatmeal,\"Lydia, Kinsley, Claire\"\ne11616,2013/05/28,lunch,chinese food,\ne11617,2013/05/28,dinner,sushi,\ne11623,2013/05/29,breakfast,toast and cheese,\ne11624,2013/05/29,lunch,steak,\"Lydia, Piper\"\ne11625,2013/05/29,dinner,chinese food,\"Andrew, Emily\"\ne11633,2013/05/30,breakfast,\"eggs, sausages, and bread\",Piper\ne11634,2013/05/30,lunch,indian food,\ne11635,2013/05/30,dinner,tacos,\ne11641,2013/05/31,breakfast,peanut-butter-jam,\"Eva, Claire, Piper, Rylee, Lydia, Nevaeh, Nora, Avery\"\ne11642,2013/05/31,lunch,tacos,\ne11643,2013/05/31,dinner,sandwich,Kayden\ne11649,2013/06/01,breakfast,pancakes,\ne11650,2013/06/01,lunch,chinese food,\ne11651,2013/06/01,dinner,tacos,\"Emily, Andrew\"\ne11658,2013/06/02,breakfast,cereals,\ne11659,2013/06/02,lunch,sushi,\ne11660,2013/06/02,dinner,chinese food,\ne11666,2013/06/03,breakfast,cereals,\ne11667,2013/06/03,lunch,indian food,\ne11668,2013/06/03,dinner,a burger,\ne11676,2013/06/04,breakfast,peanut-butter-jam,\ne11677,2013/06/04,lunch,a burger,\ne11678,2013/06/04,dinner,indian food,\ne11684,2013/06/05,breakfast,oatmeal,\"Carter, Emily, Andrew\"\ne11685,2013/06/05,lunch,sushi,\ne11686,2013/06/05,dinner,fish and chips,Andrew\ne11693,2013/06/06,breakfast,toast and cheese,\"Kayden, Andrew, Carter\"\ne11694,2013/06/06,lunch,a burger,\ne11695,2013/06/06,dinner,chinese food,\"Andrew, Emily, Kayden\"\ne11702,2013/06/07,breakfast,oatmeal,\ne11703,2013/06/07,lunch,fish and chips,\ne11704,2013/06/07,dinner,fish and chips,\ne11710,2013/06/08,breakfast,cereals,\ne11711,2013/06/08,lunch,steak,\"Carter, Andrew, Emily, Kayden\"\ne11712,2013/06/08,dinner,tacos,\ne11718,2013/06/09,breakfast,cereals,\ne11719,2013/06/09,lunch,chinese food,\ne11720,2013/06/09,dinner,chinese food,\"Eva, Kinsley, Layla, Hazel, Piper, Rylee, Claire, Lydia, Piper, Nevaeh, Avery, Nora, Olivia\"\ne11727,2013/06/10,breakfast,pancakes,\ne11728,2013/06/10,lunch,fish and chips,\"Andrew, Emily, Kayden\"\ne11729,2013/06/10,dinner,sushi,\ne11734,2013/06/11,breakfast,pancakes,\ne11735,2013/06/11,lunch,fish and chips,\ne11736,2013/06/11,dinner,pasta,\"Emily, Kayden\"\ne11743,2013/06/12,breakfast,toast and cheese,\ne11744,2013/06/12,lunch,chinese food,\ne11745,2013/06/12,dinner,fish and chips,\ne11751,2013/06/13,breakfast,toast and cheese,\ne11752,2013/06/13,lunch,tacos,\ne11753,2013/06/13,dinner,indian food,\"Emily, Carter, Andrew\"\ne11761,2013/06/14,breakfast,peanut-butter-jam,\ne11762,2013/06/14,lunch,pasta,\"Carter, Andrew, Kayden, Emily\"\ne11763,2013/06/14,dinner,indian food,\ne11770,2013/06/15,breakfast,\"eggs, sausages, and bread\",\"Nevaeh, Eva, Kinsley, Avery, Nora, Claire, Lydia\"\ne11771,2013/06/15,lunch,tacos,\"Andrew, Carter\"\ne11772,2013/06/15,dinner,a burger,\ne11779,2013/06/16,breakfast,oatmeal,\"Piper, Avery, Hazel, Nevaeh, Piper, Eva, Layla, Rylee, Lydia, Olivia\"\ne11780,2013/06/16,lunch,a burger,\ne11781,2013/06/16,dinner,fish and chips,\ne11787,2013/06/17,breakfast,peanut-butter-jam,\"Kayden, Emily\"\ne11788,2013/06/17,lunch,steak,\ne11789,2013/06/17,dinner,steak,\ne11796,2013/06/18,breakfast,cereals,\ne11797,2013/06/18,lunch,indian food,\ne11798,2013/06/18,dinner,indian food,\ne11804,2013/06/19,breakfast,toast and cheese,\"Carter, Kayden\"\ne11805,2013/06/19,lunch,chinese food,\ne11806,2013/06/19,dinner,indian food,\ne11811,2013/06/20,breakfast,\"eggs, sausages, and bread\",\ne11812,2013/06/20,lunch,sandwich,\"Eva, Olivia, Layla, Hazel, Avery\"\ne11813,2013/06/20,dinner,sushi,\ne11820,2013/06/21,breakfast,toast and cheese,\"Andrew, Kayden, Carter\"\ne11821,2013/06/21,lunch,fish and chips,\ne11822,2013/06/21,dinner,a burger,\ne11828,2013/06/22,breakfast,cereals,\ne11829,2013/06/22,lunch,steak,\ne11830,2013/06/22,dinner,fish and chips,\"Willow, Avery, Jackson\"\ne11837,2013/06/23,breakfast,cereals,\ne11838,2013/06/23,lunch,a burger,\"Carter, Emily\"\ne11839,2013/06/23,dinner,steak,\ne11845,2013/06/24,breakfast,\"eggs, sausages, and bread\",\"Jackson, Willow, Benjamin, Avery\"\ne11846,2013/06/24,lunch,chinese food,\ne11847,2013/06/24,dinner,tacos,\ne11852,2013/06/25,breakfast,pancakes,\ne11853,2013/06/25,lunch,a burger,\ne11854,2013/06/25,dinner,tacos,\"Layla, Piper, Hazel, Nevaeh, Eva, Rylee, Piper, Lydia, Kinsley, Nora, Avery\"\ne11862,2013/06/26,breakfast,\"eggs, sausages, and bread\",\ne11863,2013/06/26,lunch,sandwich,\ne11864,2013/06/26,dinner,a burger,\"Piper, Kinsley, Nora\"\ne11871,2013/06/27,breakfast,peanut-butter-jam,\"Eva, Nora, Olivia, Piper, Avery\"\ne11872,2013/06/27,lunch,pasta,\ne11873,2013/06/27,dinner,fish and chips,\ne11879,2013/06/28,breakfast,pancakes,\ne11880,2013/06/28,lunch,a burger,\"Jackson, Willow, Benjamin\"\ne11881,2013/06/28,dinner,chinese food,\ne11888,2013/06/29,breakfast,peanut-butter-jam,\"Claire, Avery, Piper, Hazel, Nevaeh, Nora, Lydia, Olivia, Layla, Kinsley, Piper, Rylee, Eva\"\ne11889,2013/06/29,lunch,a burger,Willow\ne11890,2013/06/29,dinner,sandwich,\"Andrew, Carter, Emily\"\ne11897,2013/06/30,breakfast,oatmeal,\ne11898,2013/06/30,lunch,pasta,\ne11899,2013/06/30,dinner,chinese food,Avery\ne11906,2013/07/01,breakfast,cereals,\"Carter, Kayden, Emily\"\ne11907,2013/07/01,lunch,chinese food,\ne11908,2013/07/01,dinner,pasta,\ne11915,2013/07/02,breakfast,pancakes,\ne11916,2013/07/02,lunch,sandwich,\"Andrew, Carter, Kayden\"\ne11917,2013/07/02,dinner,chinese food,\"Piper, Nevaeh, Eva, Nora, Claire\"\ne11924,2013/07/03,breakfast,oatmeal,\ne11925,2013/07/03,lunch,sandwich,\"Kayden, Emily, Andrew\"\ne11926,2013/07/03,dinner,tacos,\ne11934,2013/07/04,breakfast,cereals,\ne11935,2013/07/04,lunch,chinese food,\"Kayden, Carter, Andrew, Emily\"\ne11936,2013/07/04,dinner,a burger,\"Willow, Benjamin\"\ne11942,2013/07/05,breakfast,\"eggs, sausages, and bread\",\ne11943,2013/07/05,lunch,indian food,\ne11944,2013/07/05,dinner,sushi,\ne11950,2013/07/06,breakfast,pancakes,\ne11951,2013/07/06,lunch,sandwich,Benjamin\ne11952,2013/07/06,dinner,chinese food,\ne11959,2013/07/07,breakfast,pancakes,\"Carter, Kayden, Andrew\"\ne11960,2013/07/07,lunch,indian food,Willow\ne11961,2013/07/07,dinner,sandwich,\ne11968,2013/07/08,breakfast,cereals,\ne11969,2013/07/08,lunch,fish and chips,\ne11970,2013/07/08,dinner,chinese food,\"Andrew, Kayden, Emily\"\ne11976,2013/07/09,breakfast,toast and cheese,\"Andrew, Emily, Kayden, Carter\"\ne11977,2013/07/09,lunch,fish and chips,\ne11978,2013/07/09,dinner,a burger,\ne11986,2013/07/10,breakfast,toast and cheese,\"Piper, Lydia, Piper, Olivia, Layla\"\ne11987,2013/07/10,lunch,tacos,\ne11988,2013/07/10,dinner,chinese food,Carter\ne11996,2013/07/11,breakfast,oatmeal,\ne11997,2013/07/11,lunch,chinese food,\ne11998,2013/07/11,dinner,sandwich,\ne12006,2013/07/12,breakfast,cereals,\ne12007,2013/07/12,lunch,a burger,\ne12008,2013/07/12,dinner,sushi,\ne12014,2013/07/13,breakfast,oatmeal,\ne12015,2013/07/13,lunch,pasta,\"Kayden, Emily, Carter, Andrew\"\ne12016,2013/07/13,dinner,a burger,\ne12024,2013/07/14,breakfast,peanut-butter-jam,\ne12025,2013/07/14,lunch,a burger,\ne12026,2013/07/14,dinner,indian food,\ne12031,2013/07/15,breakfast,cereals,\ne12032,2013/07/15,lunch,sushi,Kayden\ne12033,2013/07/15,dinner,sandwich,\ne12038,2013/07/16,breakfast,pancakes,\"Carter, Emily\"\ne12039,2013/07/16,lunch,sandwich,\"Emily, Carter, Kayden, Andrew\"\ne12040,2013/07/16,dinner,indian food,\"Carter, Andrew, Emily, Kayden\"\ne12047,2013/07/17,breakfast,cereals,\ne12048,2013/07/17,lunch,pasta,\ne12049,2013/07/17,dinner,fish and chips,\ne12057,2013/07/18,breakfast,pancakes,\ne12058,2013/07/18,lunch,pasta,\ne12059,2013/07/18,dinner,pasta,\ne12067,2013/07/19,breakfast,pancakes,\ne12068,2013/07/19,lunch,fish and chips,\"Willow, Avery, Jackson, Benjamin\"\ne12069,2013/07/19,dinner,steak,\ne12076,2013/07/20,breakfast,oatmeal,\ne12077,2013/07/20,lunch,fish and chips,\ne12078,2013/07/20,dinner,tacos,\ne12084,2013/07/21,breakfast,peanut-butter-jam,\ne12085,2013/07/21,lunch,fish and chips,\ne12086,2013/07/21,dinner,pasta,\"Nevaeh, Kinsley, Avery, Eva, Rylee, Layla, Claire\"\ne12092,2013/07/22,breakfast,pancakes,\ne12093,2013/07/22,lunch,sandwich,\ne12094,2013/07/22,dinner,chinese food,\"Rylee, Eva, Avery, Layla, Nevaeh, Kinsley, Claire, Hazel, Lydia, Piper, Nora, Olivia\"\ne12100,2013/07/23,breakfast,pancakes,\"Nevaeh, Hazel, Eva, Kinsley, Rylee, Claire, Nora, Piper\"\ne12101,2013/07/23,lunch,sandwich,\"Benjamin, Avery, Jackson, Willow\"\ne12102,2013/07/23,dinner,fish and chips,\"Piper, Nevaeh, Hazel, Kinsley, Claire, Eva, Nora, Olivia, Layla, Piper, Avery, Rylee, Lydia\"\ne12109,2013/07/24,breakfast,oatmeal,\ne12110,2013/07/24,lunch,sandwich,\"Jackson, Willow, Benjamin, Avery\"\ne12111,2013/07/24,dinner,pasta,\ne12119,2013/07/25,breakfast,oatmeal,\ne12120,2013/07/25,lunch,pasta,\ne12121,2013/07/25,dinner,fish and chips,Jackson\ne12129,2013/07/26,breakfast,pancakes,\"Willow, Benjamin\"\ne12130,2013/07/26,lunch,indian food,\ne12131,2013/07/26,dinner,tacos,\ne12137,2013/07/27,breakfast,cereals,\ne12138,2013/07/27,lunch,pasta,\ne12139,2013/07/27,dinner,sushi,\"Carter, Emily, Andrew, Kayden\"\ne12146,2013/07/28,breakfast,cereals,\ne12147,2013/07/28,lunch,steak,\"Nevaeh, Olivia, Nora, Kinsley, Piper, Hazel\"\ne12148,2013/07/28,dinner,steak,\"Lydia, Olivia\"\ne12155,2013/07/29,breakfast,oatmeal,\ne12156,2013/07/29,lunch,sandwich,\ne12157,2013/07/29,dinner,steak,\ne12165,2013/07/30,breakfast,pancakes,\"Carter, Andrew, Kayden\"\ne12166,2013/07/30,lunch,sandwich,\ne12167,2013/07/30,dinner,pasta,\ne12173,2013/07/31,breakfast,oatmeal,\ne12174,2013/07/31,lunch,sandwich,\"Andrew, Kayden, Carter\"\ne12175,2013/07/31,dinner,fish and chips,\"Rylee, Eva, Olivia, Nora, Claire, Avery, Nevaeh, Layla, Kinsley, Hazel, Piper\"\ne12182,2013/08/01,breakfast,cereals,\"Piper, Lydia, Claire, Rylee, Nevaeh, Piper, Nora, Kinsley, Olivia, Hazel\"\ne12183,2013/08/01,lunch,tacos,\"Piper, Nora, Rylee, Hazel, Piper, Layla, Lydia, Olivia, Kinsley, Eva\"\ne12184,2013/08/01,dinner,tacos,\ne12192,2013/08/02,breakfast,peanut-butter-jam,\"Carter, Emily, Kayden, Andrew\"\ne12193,2013/08/02,lunch,tacos,\"Jackson, Willow\"\ne12194,2013/08/02,dinner,fish and chips,\"Olivia, Hazel, Piper, Eva, Nevaeh, Piper, Claire, Nora, Layla, Avery, Rylee, Kinsley, Lydia\"\ne12201,2013/08/03,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily\"\ne12202,2013/08/03,lunch,sushi,\ne12203,2013/08/03,dinner,a burger,\ne12209,2013/08/04,breakfast,toast and cheese,\ne12210,2013/08/04,lunch,sushi,\"Eva, Hazel, Nora, Olivia, Avery\"\ne12211,2013/08/04,dinner,tacos,\ne12217,2013/08/05,breakfast,toast and cheese,\ne12218,2013/08/05,lunch,a burger,\ne12219,2013/08/05,dinner,fish and chips,Andrew\ne12226,2013/08/06,breakfast,\"eggs, sausages, and bread\",Willow\ne12227,2013/08/06,lunch,fish and chips,\"Avery, Piper, Eva, Hazel, Olivia\"\ne12228,2013/08/06,dinner,pasta,\ne12234,2013/08/07,breakfast,cereals,\ne12235,2013/08/07,lunch,pasta,\"Avery, Hazel, Olivia, Rylee, Lydia, Claire, Piper, Piper, Kinsley, Layla, Eva, Nevaeh, Nora\"\ne12236,2013/08/07,dinner,steak,\ne12243,2013/08/08,breakfast,peanut-butter-jam,\ne12244,2013/08/08,lunch,a burger,\ne12245,2013/08/08,dinner,tacos,Willow\ne12251,2013/08/09,breakfast,pancakes,\ne12252,2013/08/09,lunch,a burger,\ne12253,2013/08/09,dinner,a burger,\"Rylee, Kinsley, Layla, Hazel, Nora, Olivia, Nevaeh\"\ne12259,2013/08/10,breakfast,oatmeal,\ne12260,2013/08/10,lunch,sushi,\ne12261,2013/08/10,dinner,a burger,\"Kayden, Carter, Andrew\"\ne12267,2013/08/11,breakfast,pancakes,\"Jackson, Avery, Benjamin\"\ne12268,2013/08/11,lunch,sushi,Andrew\ne12269,2013/08/11,dinner,chinese food,\ne12275,2013/08/12,breakfast,pancakes,\ne12276,2013/08/12,lunch,chinese food,\"Kinsley, Olivia, Piper, Avery, Lydia, Claire, Eva, Nora, Nevaeh, Layla, Rylee, Piper\"\ne12277,2013/08/12,dinner,pasta,\"Kayden, Carter, Emily, Andrew\"\ne12285,2013/08/13,breakfast,peanut-butter-jam,\"Olivia, Kinsley, Hazel, Claire, Piper, Piper, Eva, Nevaeh, Nora, Lydia\"\ne12286,2013/08/13,lunch,fish and chips,\ne12287,2013/08/13,dinner,a burger,\ne12292,2013/08/14,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden, Carter\"\ne12293,2013/08/14,lunch,sandwich,\"Avery, Kinsley, Rylee, Hazel, Claire, Lydia, Olivia, Eva\"\ne12294,2013/08/14,dinner,indian food,\ne12301,2013/08/15,breakfast,peanut-butter-jam,\"Emily, Andrew, Kayden\"\ne12302,2013/08/15,lunch,sushi,\"Emily, Carter\"\ne12303,2013/08/15,dinner,chinese food,\ne12309,2013/08/16,breakfast,pancakes,\"Carter, Kayden\"\ne12310,2013/08/16,lunch,steak,\ne12311,2013/08/16,dinner,sushi,\"Kayden, Carter, Andrew, Emily\"\ne12318,2013/08/17,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Willow, Avery, Jackson\"\ne12319,2013/08/17,lunch,chinese food,\ne12320,2013/08/17,dinner,tacos,\ne12327,2013/08/18,breakfast,peanut-butter-jam,\"Rylee, Olivia, Kinsley, Layla, Lydia, Claire, Eva, Piper\"\ne12328,2013/08/18,lunch,a burger,\"Eva, Lydia, Kinsley, Nevaeh, Nora, Claire, Layla, Avery, Piper, Hazel, Olivia, Rylee, Piper\"\ne12329,2013/08/18,dinner,pasta,\ne12336,2013/08/19,breakfast,\"eggs, sausages, and bread\",\ne12337,2013/08/19,lunch,a burger,\"Hazel, Lydia, Eva, Nevaeh, Piper, Nora, Piper, Layla, Claire\"\ne12338,2013/08/19,dinner,tacos,\ne12344,2013/08/20,breakfast,\"eggs, sausages, and bread\",\"Jackson, Benjamin, Avery, Willow\"\ne12345,2013/08/20,lunch,a burger,\ne12346,2013/08/20,dinner,sandwich,\"Emily, Kayden, Andrew\"\ne12352,2013/08/21,breakfast,cereals,\"Lydia, Nevaeh, Kinsley, Claire, Avery, Hazel, Rylee, Olivia, Nora, Piper\"\ne12353,2013/08/21,lunch,fish and chips,\ne12354,2013/08/21,dinner,a burger,\ne12361,2013/08/22,breakfast,pancakes,\ne12362,2013/08/22,lunch,a burger,\ne12363,2013/08/22,dinner,sandwich,\"Layla, Nevaeh, Nora, Avery, Lydia, Piper, Eva, Rylee, Piper, Olivia, Kinsley, Claire\"\ne12369,2013/08/23,breakfast,peanut-butter-jam,Andrew\ne12370,2013/08/23,lunch,tacos,\"Kinsley, Layla\"\ne12371,2013/08/23,dinner,tacos,\ne12378,2013/08/24,breakfast,\"eggs, sausages, and bread\",\"Willow, Avery, Benjamin, Jackson\"\ne12379,2013/08/24,lunch,steak,\ne12380,2013/08/24,dinner,pasta,\ne12386,2013/08/25,breakfast,oatmeal,Emily\ne12387,2013/08/25,lunch,a burger,\ne12388,2013/08/25,dinner,tacos,\ne12395,2013/08/26,breakfast,\"eggs, sausages, and bread\",\ne12396,2013/08/26,lunch,chinese food,\"Kinsley, Layla, Nevaeh\"\ne12397,2013/08/26,dinner,sushi,Avery\ne12403,2013/08/27,breakfast,toast and cheese,\ne12404,2013/08/27,lunch,a burger,\"Benjamin, Avery, Jackson, Willow\"\ne12405,2013/08/27,dinner,chinese food,Andrew\ne12411,2013/08/28,breakfast,peanut-butter-jam,\ne12412,2013/08/28,lunch,steak,\ne12413,2013/08/28,dinner,steak,\ne12420,2013/08/29,breakfast,pancakes,\"Nora, Kinsley, Nevaeh, Lydia, Piper, Eva, Olivia\"\ne12421,2013/08/29,lunch,sushi,\ne12422,2013/08/29,dinner,pasta,\"Piper, Claire, Avery\"\ne12429,2013/08/30,breakfast,toast and cheese,\"Kayden, Andrew\"\ne12430,2013/08/30,lunch,tacos,\ne12431,2013/08/30,dinner,chinese food,\"Andrew, Emily, Kayden\"\ne12439,2013/08/31,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter, Emily\"\ne12440,2013/08/31,lunch,steak,\ne12441,2013/08/31,dinner,fish and chips,\"Emily, Carter, Kayden\"\ne12446,2013/09/01,breakfast,pancakes,\ne12447,2013/09/01,lunch,tacos,\"Andrew, Carter\"\ne12448,2013/09/01,dinner,fish and chips,Willow\ne12455,2013/09/02,breakfast,cereals,\ne12456,2013/09/02,lunch,sushi,\"Andrew, Carter, Emily, Kayden\"\ne12457,2013/09/02,dinner,steak,\ne12464,2013/09/03,breakfast,peanut-butter-jam,\"Eva, Rylee, Olivia, Kinsley, Piper, Avery, Layla, Piper, Nora, Nevaeh, Claire, Hazel, Lydia\"\ne12465,2013/09/03,lunch,tacos,\"Kayden, Carter, Emily, Andrew\"\ne12466,2013/09/03,dinner,chinese food,\ne12473,2013/09/04,breakfast,pancakes,\ne12474,2013/09/04,lunch,chinese food,\ne12475,2013/09/04,dinner,sushi,\ne12483,2013/09/05,breakfast,\"eggs, sausages, and bread\",\ne12484,2013/09/05,lunch,a burger,\"Andrew, Kayden\"\ne12485,2013/09/05,dinner,steak,Carter\ne12492,2013/09/06,breakfast,oatmeal,\"Avery, Jackson, Benjamin, Willow\"\ne12493,2013/09/06,lunch,steak,\ne12494,2013/09/06,dinner,fish and chips,\ne12502,2013/09/07,breakfast,cereals,\ne12503,2013/09/07,lunch,chinese food,\ne12504,2013/09/07,dinner,steak,\ne12510,2013/09/08,breakfast,peanut-butter-jam,\ne12511,2013/09/08,lunch,steak,\ne12512,2013/09/08,dinner,a burger,\ne12519,2013/09/09,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew, Emily, Kayden\"\ne12520,2013/09/09,lunch,tacos,\"Andrew, Emily\"\ne12521,2013/09/09,dinner,fish and chips,\"Kayden, Andrew, Carter\"\ne12529,2013/09/10,breakfast,toast and cheese,\ne12530,2013/09/10,lunch,chinese food,Piper\ne12531,2013/09/10,dinner,pasta,\"Hazel, Layla, Claire\"\ne12536,2013/09/11,breakfast,pancakes,\ne12537,2013/09/11,lunch,tacos,\ne12538,2013/09/11,dinner,chinese food,\ne12544,2013/09/12,breakfast,\"eggs, sausages, and bread\",\"Avery, Willow, Benjamin, Jackson\"\ne12545,2013/09/12,lunch,steak,\"Jackson, Willow\"\ne12546,2013/09/12,dinner,steak,\"Rylee, Hazel, Nevaeh, Eva, Lydia, Piper\"\ne12552,2013/09/13,breakfast,pancakes,\ne12553,2013/09/13,lunch,pasta,\ne12554,2013/09/13,dinner,indian food,\ne12561,2013/09/14,breakfast,toast and cheese,\ne12562,2013/09/14,lunch,steak,\ne12563,2013/09/14,dinner,a burger,\"Layla, Piper, Nevaeh, Olivia, Rylee, Avery, Kinsley, Eva, Claire, Hazel, Lydia\"\ne12569,2013/09/15,breakfast,toast and cheese,\ne12570,2013/09/15,lunch,a burger,\ne12571,2013/09/15,dinner,sushi,\"Nevaeh, Claire, Eva, Piper, Lydia, Avery, Kinsley, Nora, Olivia, Rylee, Hazel\"\ne12578,2013/09/16,breakfast,toast and cheese,\"Emily, Carter, Andrew, Kayden\"\ne12579,2013/09/16,lunch,sushi,\ne12580,2013/09/16,dinner,sandwich,\ne12585,2013/09/17,breakfast,toast and cheese,\ne12586,2013/09/17,lunch,tacos,\ne12587,2013/09/17,dinner,indian food,\ne12593,2013/09/18,breakfast,oatmeal,\ne12594,2013/09/18,lunch,indian food,\"Emily, Carter\"\ne12595,2013/09/18,dinner,sandwich,\ne12602,2013/09/19,breakfast,\"eggs, sausages, and bread\",\"Avery, Claire, Nora\"\ne12603,2013/09/19,lunch,a burger,\ne12604,2013/09/19,dinner,pasta,\ne12611,2013/09/20,breakfast,toast and cheese,\ne12612,2013/09/20,lunch,steak,\ne12613,2013/09/20,dinner,a burger,\ne12621,2013/09/21,breakfast,toast and cheese,\ne12622,2013/09/21,lunch,sushi,\ne12623,2013/09/21,dinner,indian food,\ne12630,2013/09/22,breakfast,pancakes,\ne12631,2013/09/22,lunch,indian food,\"Eva, Piper, Rylee, Kinsley, Olivia, Nora, Hazel, Lydia, Piper\"\ne12632,2013/09/22,dinner,pasta,\ne12638,2013/09/23,breakfast,toast and cheese,\ne12639,2013/09/23,lunch,chinese food,\ne12640,2013/09/23,dinner,pasta,\ne12647,2013/09/24,breakfast,cereals,\"Benjamin, Jackson, Willow, Avery\"\ne12648,2013/09/24,lunch,indian food,\"Emily, Carter, Kayden\"\ne12649,2013/09/24,dinner,indian food,\"Benjamin, Jackson\"\ne12655,2013/09/25,breakfast,\"eggs, sausages, and bread\",\ne12656,2013/09/25,lunch,sandwich,\ne12657,2013/09/25,dinner,steak,\ne12664,2013/09/26,breakfast,\"eggs, sausages, and bread\",\ne12665,2013/09/26,lunch,pasta,\"Kinsley, Olivia, Eva, Rylee, Hazel, Nora, Lydia, Nevaeh, Piper, Piper, Avery, Layla, Claire\"\ne12666,2013/09/26,dinner,tacos,Kayden\ne12672,2013/09/27,breakfast,toast and cheese,\ne12673,2013/09/27,lunch,steak,\ne12674,2013/09/27,dinner,chinese food,\ne12680,2013/09/28,breakfast,\"eggs, sausages, and bread\",\ne12681,2013/09/28,lunch,chinese food,\ne12682,2013/09/28,dinner,sandwich,\ne12689,2013/09/29,breakfast,\"eggs, sausages, and bread\",\ne12690,2013/09/29,lunch,a burger,\ne12691,2013/09/29,dinner,tacos,\ne12698,2013/09/30,breakfast,cereals,\ne12699,2013/09/30,lunch,chinese food,\"Eva, Piper, Layla, Rylee, Nevaeh, Lydia, Hazel, Kinsley, Nora, Piper, Claire, Avery\"\ne12700,2013/09/30,dinner,sushi,\ne12707,2013/10/01,breakfast,\"eggs, sausages, and bread\",\"Willow, Jackson\"\ne12708,2013/10/01,lunch,sushi,\"Emily, Carter\"\ne12709,2013/10/01,dinner,chinese food,\ne12716,2013/10/02,breakfast,toast and cheese,\"Emily, Kayden, Andrew\"\ne12717,2013/10/02,lunch,sushi,\ne12718,2013/10/02,dinner,sushi,\ne12725,2013/10/03,breakfast,oatmeal,Jackson\ne12726,2013/10/03,lunch,sushi,\"Eva, Rylee, Olivia, Nevaeh\"\ne12727,2013/10/03,dinner,sandwich,\ne12735,2013/10/04,breakfast,peanut-butter-jam,\ne12736,2013/10/04,lunch,a burger,\"Willow, Jackson, Benjamin, Avery\"\ne12737,2013/10/04,dinner,indian food,\ne12744,2013/10/05,breakfast,pancakes,\"Andrew, Kayden, Carter\"\ne12745,2013/10/05,lunch,sandwich,\ne12746,2013/10/05,dinner,fish and chips,\ne12754,2013/10/06,breakfast,\"eggs, sausages, and bread\",\ne12755,2013/10/06,lunch,tacos,\"Avery, Kinsley, Nevaeh, Piper, Lydia, Claire, Hazel, Eva, Piper, Olivia, Rylee, Nora\"\ne12756,2013/10/06,dinner,pasta,\"Carter, Andrew, Emily\"\ne12763,2013/10/07,breakfast,oatmeal,Andrew\ne12764,2013/10/07,lunch,chinese food,\ne12765,2013/10/07,dinner,pasta,\ne12770,2013/10/08,breakfast,toast and cheese,\ne12771,2013/10/08,lunch,sushi,\ne12772,2013/10/08,dinner,fish and chips,\"Kayden, Andrew, Carter, Emily\"\ne12779,2013/10/09,breakfast,cereals,\ne12780,2013/10/09,lunch,chinese food,\ne12781,2013/10/09,dinner,indian food,\ne12787,2013/10/10,breakfast,pancakes,\ne12788,2013/10/10,lunch,steak,Willow\ne12789,2013/10/10,dinner,fish and chips,\ne12796,2013/10/11,breakfast,\"eggs, sausages, and bread\",\ne12797,2013/10/11,lunch,tacos,\ne12798,2013/10/11,dinner,indian food,\ne12804,2013/10/12,breakfast,pancakes,\"Claire, Hazel, Avery, Rylee, Piper\"\ne12805,2013/10/12,lunch,steak,\ne12806,2013/10/12,dinner,chinese food,\ne12811,2013/10/13,breakfast,cereals,\"Kinsley, Eva\"\ne12812,2013/10/13,lunch,pasta,\"Andrew, Emily, Carter\"\ne12813,2013/10/13,dinner,pasta,\ne12819,2013/10/14,breakfast,\"eggs, sausages, and bread\",\ne12820,2013/10/14,lunch,pasta,\ne12821,2013/10/14,dinner,tacos,\ne12829,2013/10/15,breakfast,oatmeal,\"Jackson, Avery, Willow\"\ne12830,2013/10/15,lunch,a burger,\ne12831,2013/10/15,dinner,tacos,\"Nevaeh, Piper, Avery, Nora, Lydia, Hazel, Piper, Olivia, Layla, Eva, Rylee\"\ne12838,2013/10/16,breakfast,oatmeal,\"Avery, Piper, Piper, Olivia, Lydia, Eva, Nevaeh\"\ne12839,2013/10/16,lunch,sandwich,\ne12840,2013/10/16,dinner,a burger,\ne12846,2013/10/17,breakfast,pancakes,\"Piper, Lydia, Avery, Nevaeh, Kinsley, Olivia, Layla, Claire, Rylee, Eva, Piper, Nora\"\ne12847,2013/10/17,lunch,indian food,\ne12848,2013/10/17,dinner,a burger,\ne12854,2013/10/18,breakfast,oatmeal,\ne12855,2013/10/18,lunch,tacos,\"Benjamin, Willow\"\ne12856,2013/10/18,dinner,chinese food,\ne12862,2013/10/19,breakfast,peanut-butter-jam,\ne12863,2013/10/19,lunch,fish and chips,\ne12864,2013/10/19,dinner,sandwich,\ne12871,2013/10/20,breakfast,oatmeal,\"Rylee, Nora, Claire, Hazel, Eva, Lydia, Layla, Piper, Nevaeh, Kinsley, Olivia, Piper\"\ne12872,2013/10/20,lunch,fish and chips,\ne12873,2013/10/20,dinner,indian food,\"Andrew, Kayden, Emily\"\ne12880,2013/10/21,breakfast,toast and cheese,\ne12881,2013/10/21,lunch,sandwich,\"Kinsley, Piper, Nevaeh, Layla, Nora\"\ne12882,2013/10/21,dinner,sushi,\ne12889,2013/10/22,breakfast,\"eggs, sausages, and bread\",\ne12890,2013/10/22,lunch,tacos,\"Claire, Layla, Eva, Lydia, Olivia\"\ne12891,2013/10/22,dinner,sandwich,\ne12898,2013/10/23,breakfast,cereals,\"Kayden, Emily, Carter, Andrew\"\ne12899,2013/10/23,lunch,a burger,\ne12900,2013/10/23,dinner,tacos,\"Avery, Hazel, Piper, Nora, Lydia, Nevaeh\"\ne12906,2013/10/24,breakfast,oatmeal,\ne12907,2013/10/24,lunch,sushi,\ne12908,2013/10/24,dinner,sushi,\ne12915,2013/10/25,breakfast,toast and cheese,\ne12916,2013/10/25,lunch,a burger,\"Hazel, Olivia, Nora, Piper, Layla, Claire\"\ne12917,2013/10/25,dinner,tacos,\ne12924,2013/10/26,breakfast,peanut-butter-jam,\ne12925,2013/10/26,lunch,tacos,Andrew\ne12926,2013/10/26,dinner,steak,\ne12933,2013/10/27,breakfast,toast and cheese,Emily\ne12934,2013/10/27,lunch,chinese food,Andrew\ne12935,2013/10/27,dinner,steak,\ne12941,2013/10/28,breakfast,oatmeal,\ne12942,2013/10/28,lunch,sandwich,\"Hazel, Nevaeh, Nora, Piper, Olivia, Eva, Lydia, Piper, Claire, Kinsley, Rylee\"\ne12943,2013/10/28,dinner,chinese food,\ne12950,2013/10/29,breakfast,pancakes,Andrew\ne12951,2013/10/29,lunch,sushi,\ne12952,2013/10/29,dinner,chinese food,\"Willow, Avery, Benjamin, Jackson\"\ne12958,2013/10/30,breakfast,toast and cheese,Kayden\ne12959,2013/10/30,lunch,sandwich,\"Willow, Avery\"\ne12960,2013/10/30,dinner,steak,\"Carter, Emily, Kayden, Andrew\"\ne12967,2013/10/31,breakfast,\"eggs, sausages, and bread\",\ne12968,2013/10/31,lunch,indian food,\"Olivia, Piper, Piper, Kinsley, Nora, Claire\"\ne12969,2013/10/31,dinner,tacos,\ne12976,2013/11/01,breakfast,toast and cheese,\ne12977,2013/11/01,lunch,sandwich,\ne12978,2013/11/01,dinner,sandwich,\ne12984,2013/11/02,breakfast,pancakes,\ne12985,2013/11/02,lunch,indian food,\ne12986,2013/11/02,dinner,a burger,\ne12992,2013/11/03,breakfast,toast and cheese,\ne12993,2013/11/03,lunch,a burger,\ne12994,2013/11/03,dinner,steak,\ne12999,2013/11/04,breakfast,oatmeal,\ne13000,2013/11/04,lunch,chinese food,Kayden\ne13001,2013/11/04,dinner,sushi,\ne13009,2013/11/05,breakfast,oatmeal,\"Lydia, Avery, Kinsley, Claire, Piper\"\ne13010,2013/11/05,lunch,a burger,\ne13011,2013/11/05,dinner,pasta,\ne13017,2013/11/06,breakfast,toast and cheese,\ne13018,2013/11/06,lunch,steak,\ne13019,2013/11/06,dinner,sushi,\ne13026,2013/11/07,breakfast,toast and cheese,\ne13027,2013/11/07,lunch,chinese food,\ne13028,2013/11/07,dinner,sandwich,\ne13034,2013/11/08,breakfast,cereals,\"Andrew, Kayden\"\ne13035,2013/11/08,lunch,fish and chips,Andrew\ne13036,2013/11/08,dinner,a burger,\ne13043,2013/11/09,breakfast,oatmeal,\"Layla, Avery, Eva, Hazel, Piper, Olivia, Nora, Piper, Kinsley, Nevaeh, Claire\"\ne13044,2013/11/09,lunch,steak,\ne13045,2013/11/09,dinner,sandwich,\ne13053,2013/11/10,breakfast,oatmeal,\"Piper, Piper, Nora, Kinsley\"\ne13054,2013/11/10,lunch,steak,\ne13055,2013/11/10,dinner,chinese food,\"Nora, Piper, Eva, Layla, Nevaeh, Piper, Kinsley, Olivia, Hazel, Rylee\"\ne13062,2013/11/11,breakfast,toast and cheese,\ne13063,2013/11/11,lunch,chinese food,\ne13064,2013/11/11,dinner,sushi,\ne13071,2013/11/12,breakfast,\"eggs, sausages, and bread\",\ne13072,2013/11/12,lunch,tacos,\"Avery, Willow\"\ne13073,2013/11/12,dinner,fish and chips,\"Rylee, Nora, Kinsley, Piper, Nevaeh, Layla, Hazel, Olivia, Lydia, Eva, Piper, Avery\"\ne13079,2013/11/13,breakfast,pancakes,\ne13080,2013/11/13,lunch,pasta,\ne13081,2013/11/13,dinner,chinese food,\"Willow, Jackson, Benjamin, Avery\"\ne13088,2013/11/14,breakfast,pancakes,\ne13089,2013/11/14,lunch,chinese food,\ne13090,2013/11/14,dinner,steak,\"Andrew, Emily\"\ne13097,2013/11/15,breakfast,peanut-butter-jam,\"Carter, Kayden\"\ne13098,2013/11/15,lunch,fish and chips,\ne13099,2013/11/15,dinner,chinese food,\"Carter, Andrew, Emily, Kayden\"\ne13106,2013/11/16,breakfast,toast and cheese,\ne13107,2013/11/16,lunch,a burger,\"Piper, Nora, Rylee, Claire, Avery, Kinsley, Hazel, Piper, Layla, Nevaeh, Eva, Lydia\"\ne13108,2013/11/16,dinner,sandwich,\ne13115,2013/11/17,breakfast,toast and cheese,\ne13116,2013/11/17,lunch,steak,\ne13117,2013/11/17,dinner,steak,\"Avery, Rylee, Lydia, Olivia, Piper, Layla, Hazel, Piper\"\ne13124,2013/11/18,breakfast,peanut-butter-jam,\"Olivia, Hazel, Eva, Avery, Piper, Lydia, Layla, Nevaeh, Rylee, Nora\"\ne13125,2013/11/18,lunch,sushi,\ne13126,2013/11/18,dinner,steak,\"Benjamin, Jackson\"\ne13133,2013/11/19,breakfast,pancakes,\"Benjamin, Jackson, Willow\"\ne13134,2013/11/19,lunch,steak,\"Emily, Kayden\"\ne13135,2013/11/19,dinner,sushi,\"Benjamin, Willow, Avery, Jackson\"\ne13141,2013/11/20,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Willow\"\ne13142,2013/11/20,lunch,chinese food,\ne13143,2013/11/20,dinner,steak,\ne13149,2013/11/21,breakfast,cereals,Avery\ne13150,2013/11/21,lunch,steak,\"Eva, Nevaeh, Lydia, Rylee, Avery, Piper\"\ne13151,2013/11/21,dinner,a burger,\ne13158,2013/11/22,breakfast,\"eggs, sausages, and bread\",\ne13159,2013/11/22,lunch,steak,\ne13160,2013/11/22,dinner,sushi,\"Emily, Carter, Kayden, Andrew\"\ne13167,2013/11/23,breakfast,pancakes,\ne13168,2013/11/23,lunch,fish and chips,\"Carter, Emily, Andrew, Kayden\"\ne13169,2013/11/23,dinner,indian food,\ne13177,2013/11/24,breakfast,pancakes,\"Nora, Piper\"\ne13178,2013/11/24,lunch,sushi,\ne13179,2013/11/24,dinner,fish and chips,\"Carter, Kayden, Andrew\"\ne13186,2013/11/25,breakfast,oatmeal,\"Nora, Kinsley\"\ne13187,2013/11/25,lunch,chinese food,\ne13188,2013/11/25,dinner,indian food,\"Lydia, Kinsley, Hazel, Rylee, Eva, Nora, Nevaeh, Claire, Olivia, Avery, Layla\"\ne13193,2013/11/26,breakfast,peanut-butter-jam,Andrew\ne13194,2013/11/26,lunch,chinese food,\"Andrew, Carter, Emily\"\ne13195,2013/11/26,dinner,tacos,\"Avery, Jackson\"\ne13201,2013/11/27,breakfast,toast and cheese,Andrew\ne13202,2013/11/27,lunch,steak,\"Willow, Avery\"\ne13203,2013/11/27,dinner,sushi,\ne13210,2013/11/28,breakfast,toast and cheese,\"Avery, Willow\"\ne13211,2013/11/28,lunch,a burger,Willow\ne13212,2013/11/28,dinner,sandwich,\ne13217,2013/11/29,breakfast,toast and cheese,\ne13218,2013/11/29,lunch,fish and chips,Benjamin\ne13219,2013/11/29,dinner,sandwich,\ne13224,2013/11/30,breakfast,peanut-butter-jam,\"Andrew, Carter\"\ne13225,2013/11/30,lunch,chinese food,\"Nora, Rylee, Eva, Piper, Olivia, Avery, Hazel, Nevaeh, Claire, Lydia\"\ne13226,2013/11/30,dinner,a burger,\ne13233,2013/12/01,breakfast,toast and cheese,\ne13234,2013/12/01,lunch,chinese food,\ne13235,2013/12/01,dinner,indian food,\ne13241,2013/12/02,breakfast,toast and cheese,Emily\ne13242,2013/12/02,lunch,fish and chips,\ne13243,2013/12/02,dinner,tacos,\"Nevaeh, Avery, Hazel, Rylee, Layla, Piper, Claire\"\ne13248,2013/12/03,breakfast,peanut-butter-jam,\"Carter, Emily, Andrew, Kayden\"\ne13249,2013/12/03,lunch,tacos,\ne13250,2013/12/03,dinner,tacos,\ne13258,2013/12/04,breakfast,cereals,\ne13259,2013/12/04,lunch,sandwich,\ne13260,2013/12/04,dinner,sandwich,\ne13266,2013/12/05,breakfast,peanut-butter-jam,\"Kinsley, Eva, Piper, Olivia, Hazel, Nevaeh, Lydia, Rylee, Nora, Piper, Claire, Avery, Layla\"\ne13267,2013/12/05,lunch,tacos,\ne13268,2013/12/05,dinner,tacos,\ne13274,2013/12/06,breakfast,\"eggs, sausages, and bread\",\ne13275,2013/12/06,lunch,sandwich,Willow\ne13276,2013/12/06,dinner,steak,\ne13281,2013/12/07,breakfast,peanut-butter-jam,\"Lydia, Avery, Piper, Claire, Piper, Layla, Eva\"\ne13282,2013/12/07,lunch,chinese food,\ne13283,2013/12/07,dinner,steak,\"Rylee, Eva, Nevaeh, Avery, Lydia, Claire, Olivia\"\ne13291,2013/12/08,breakfast,oatmeal,\ne13292,2013/12/08,lunch,steak,\"Willow, Jackson\"\ne13293,2013/12/08,dinner,tacos,\ne13299,2013/12/09,breakfast,peanut-butter-jam,\ne13300,2013/12/09,lunch,steak,Emily\ne13301,2013/12/09,dinner,indian food,\ne13307,2013/12/10,breakfast,peanut-butter-jam,\ne13308,2013/12/10,lunch,steak,\"Carter, Andrew, Emily, Kayden\"\ne13309,2013/12/10,dinner,sushi,\"Carter, Andrew, Emily\"\ne13315,2013/12/11,breakfast,peanut-butter-jam,\"Benjamin, Avery, Jackson, Willow\"\ne13316,2013/12/11,lunch,chinese food,\ne13317,2013/12/11,dinner,indian food,\ne13324,2013/12/12,breakfast,\"eggs, sausages, and bread\",\ne13325,2013/12/12,lunch,steak,\ne13326,2013/12/12,dinner,sandwich,\ne13333,2013/12/13,breakfast,toast and cheese,Andrew\ne13334,2013/12/13,lunch,indian food,\"Andrew, Carter, Emily\"\ne13335,2013/12/13,dinner,sushi,\ne13342,2013/12/14,breakfast,toast and cheese,\ne13343,2013/12/14,lunch,tacos,\"Hazel, Nora, Piper, Kinsley, Layla, Claire, Rylee, Lydia, Eva, Nevaeh, Avery, Piper\"\ne13344,2013/12/14,dinner,pasta,\"Emily, Carter\"\ne13350,2013/12/15,breakfast,toast and cheese,\ne13351,2013/12/15,lunch,pasta,\ne13352,2013/12/15,dinner,sushi,\"Hazel, Rylee, Nora, Claire, Lydia, Eva, Piper, Layla, Olivia, Nevaeh, Kinsley, Piper, Avery\"\ne13358,2013/12/16,breakfast,peanut-butter-jam,\ne13359,2013/12/16,lunch,pasta,\ne13360,2013/12/16,dinner,indian food,\"Carter, Emily\"\ne13367,2013/12/17,breakfast,\"eggs, sausages, and bread\",\ne13368,2013/12/17,lunch,a burger,Carter\ne13369,2013/12/17,dinner,fish and chips,\ne13377,2013/12/18,breakfast,oatmeal,\"Jackson, Willow, Avery\"\ne13378,2013/12/18,lunch,fish and chips,\ne13379,2013/12/18,dinner,chinese food,\ne13385,2013/12/19,breakfast,toast and cheese,\ne13386,2013/12/19,lunch,chinese food,\"Avery, Piper, Nevaeh, Nora\"\ne13387,2013/12/19,dinner,pasta,\"Andrew, Kayden, Carter, Emily\"\ne13393,2013/12/20,breakfast,peanut-butter-jam,\ne13394,2013/12/20,lunch,indian food,\ne13395,2013/12/20,dinner,indian food,\ne13401,2013/12/21,breakfast,toast and cheese,\"Piper, Eva, Lydia, Layla, Hazel, Avery, Nevaeh, Nora, Claire, Olivia, Rylee, Kinsley, Piper\"\ne13402,2013/12/21,lunch,steak,\"Andrew, Kayden, Carter\"\ne13403,2013/12/21,dinner,a burger,\ne13409,2013/12/22,breakfast,oatmeal,\ne13410,2013/12/22,lunch,chinese food,\ne13411,2013/12/22,dinner,sushi,\"Emily, Andrew\"\ne13417,2013/12/23,breakfast,oatmeal,\ne13418,2013/12/23,lunch,sandwich,\ne13419,2013/12/23,dinner,tacos,\ne13424,2013/12/24,breakfast,cereals,\ne13425,2013/12/24,lunch,sushi,\ne13426,2013/12/24,dinner,fish and chips,\ne13434,2013/12/25,breakfast,peanut-butter-jam,\"Carter, Andrew\"\ne13435,2013/12/25,lunch,chinese food,\ne13436,2013/12/25,dinner,indian food,\"Kayden, Andrew, Emily, Carter\"\ne13442,2013/12/26,breakfast,cereals,\"Andrew, Emily, Carter\"\ne13443,2013/12/26,lunch,fish and chips,\"Olivia, Avery, Kinsley, Nora, Lydia, Piper\"\ne13444,2013/12/26,dinner,chinese food,\ne13449,2013/12/27,breakfast,oatmeal,\ne13450,2013/12/27,lunch,a burger,\"Carter, Andrew, Emily\"\ne13451,2013/12/27,dinner,steak,\ne13458,2013/12/28,breakfast,peanut-butter-jam,\ne13459,2013/12/28,lunch,indian food,\ne13460,2013/12/28,dinner,tacos,\ne13467,2013/12/29,breakfast,pancakes,\"Andrew, Carter, Emily, Kayden\"\ne13468,2013/12/29,lunch,sandwich,\"Hazel, Kinsley, Eva, Layla, Lydia, Nevaeh, Avery, Claire, Piper\"\ne13469,2013/12/29,dinner,steak,\ne13476,2013/12/30,breakfast,oatmeal,\ne13477,2013/12/30,lunch,fish and chips,Avery\ne13478,2013/12/30,dinner,chinese food,\ne13485,2013/12/31,breakfast,peanut-butter-jam,\ne13486,2013/12/31,lunch,pasta,\ne13487,2013/12/31,dinner,indian food,\"Kayden, Andrew\"\ne13716,2014/01/01,breakfast,\"eggs, sausages, and bread\",\"Andrew, Emily, Carter\"\ne13717,2014/01/01,lunch,chinese food,\ne13718,2014/01/01,dinner,tacos,\ne13725,2014/01/02,breakfast,peanut-butter-jam,\"Piper, Nevaeh, Piper\"\ne13726,2014/01/02,lunch,a burger,\ne13727,2014/01/02,dinner,chinese food,\ne13734,2014/01/03,breakfast,cereals,Piper\ne13735,2014/01/03,lunch,pasta,\ne13736,2014/01/03,dinner,fish and chips,\ne13744,2014/01/04,breakfast,cereals,\ne13745,2014/01/04,lunch,pasta,\ne13746,2014/01/04,dinner,steak,\"Carter, Andrew, Kayden, Emily\"\ne13754,2014/01/05,breakfast,oatmeal,\ne13755,2014/01/05,lunch,tacos,\"Claire, Eva, Rylee, Lydia\"\ne13756,2014/01/05,dinner,a burger,Willow\ne13762,2014/01/06,breakfast,pancakes,\ne13763,2014/01/06,lunch,fish and chips,\"Benjamin, Avery, Jackson\"\ne13764,2014/01/06,dinner,pasta,\"Kayden, Andrew, Carter, Emily\"\ne13772,2014/01/07,breakfast,\"eggs, sausages, and bread\",\ne13773,2014/01/07,lunch,a burger,\ne13774,2014/01/07,dinner,sushi,\"Kayden, Carter\"\ne13781,2014/01/08,breakfast,pancakes,\ne13782,2014/01/08,lunch,fish and chips,\"Andrew, Kayden\"\ne13783,2014/01/08,dinner,pasta,Andrew\ne13791,2014/01/09,breakfast,peanut-butter-jam,\ne13792,2014/01/09,lunch,indian food,\"Andrew, Carter\"\ne13793,2014/01/09,dinner,indian food,\ne13800,2014/01/10,breakfast,peanut-butter-jam,\ne13801,2014/01/10,lunch,tacos,\"Rylee, Avery, Layla, Claire, Piper, Hazel, Eva, Olivia, Kinsley\"\ne13802,2014/01/10,dinner,tacos,\ne13809,2014/01/11,breakfast,cereals,\ne13810,2014/01/11,lunch,pasta,\"Emily, Andrew\"\ne13811,2014/01/11,dinner,pasta,\ne13819,2014/01/12,breakfast,oatmeal,\"Kayden, Carter\"\ne13820,2014/01/12,lunch,tacos,Andrew\ne13821,2014/01/12,dinner,sandwich,\ne13827,2014/01/13,breakfast,pancakes,\ne13828,2014/01/13,lunch,tacos,\ne13829,2014/01/13,dinner,chinese food,Jackson\ne13835,2014/01/14,breakfast,oatmeal,\ne13836,2014/01/14,lunch,sushi,\ne13837,2014/01/14,dinner,pasta,\ne13844,2014/01/15,breakfast,oatmeal,\"Willow, Avery, Benjamin, Jackson\"\ne13845,2014/01/15,lunch,indian food,\"Jackson, Willow, Avery\"\ne13846,2014/01/15,dinner,fish and chips,\"Rylee, Lydia, Olivia\"\ne13851,2014/01/16,breakfast,toast and cheese,\"Eva, Nora, Lydia, Nevaeh\"\ne13852,2014/01/16,lunch,indian food,\ne13853,2014/01/16,dinner,sandwich,\ne13861,2014/01/17,breakfast,toast and cheese,Carter\ne13862,2014/01/17,lunch,indian food,\ne13863,2014/01/17,dinner,fish and chips,\"Carter, Kayden, Emily\"\ne13869,2014/01/18,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden\"\ne13870,2014/01/18,lunch,sushi,\ne13871,2014/01/18,dinner,pasta,\ne13877,2014/01/19,breakfast,toast and cheese,\"Kayden, Carter, Andrew, Emily\"\ne13878,2014/01/19,lunch,sushi,\"Kayden, Andrew, Carter, Emily\"\ne13879,2014/01/19,dinner,tacos,\"Jackson, Benjamin, Avery\"\ne13886,2014/01/20,breakfast,\"eggs, sausages, and bread\",\ne13887,2014/01/20,lunch,sandwich,\"Kinsley, Nora, Piper, Eva, Layla, Olivia, Rylee, Nevaeh, Lydia, Claire\"\ne13888,2014/01/20,dinner,indian food,\"Kayden, Andrew, Carter, Emily\"\ne13893,2014/01/21,breakfast,peanut-butter-jam,\"Andrew, Kayden\"\ne13894,2014/01/21,lunch,pasta,\ne13895,2014/01/21,dinner,sushi,\ne13902,2014/01/22,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew, Carter, Emily\"\ne13903,2014/01/22,lunch,pasta,\ne13904,2014/01/22,dinner,chinese food,\ne13911,2014/01/23,breakfast,peanut-butter-jam,\ne13912,2014/01/23,lunch,sandwich,\ne13913,2014/01/23,dinner,sandwich,\"Emily, Kayden, Carter\"\ne13919,2014/01/24,breakfast,toast and cheese,\ne13920,2014/01/24,lunch,tacos,\ne13921,2014/01/24,dinner,pasta,\"Willow, Jackson\"\ne13928,2014/01/25,breakfast,\"eggs, sausages, and bread\",\ne13929,2014/01/25,lunch,fish and chips,\ne13930,2014/01/25,dinner,sushi,\"Jackson, Benjamin\"\ne13938,2014/01/26,breakfast,pancakes,\ne13939,2014/01/26,lunch,sandwich,\"Emily, Kayden, Andrew\"\ne13940,2014/01/26,dinner,fish and chips,\"Piper, Nevaeh, Hazel, Lydia, Layla, Kinsley, Claire, Eva\"\ne13947,2014/01/27,breakfast,pancakes,\"Eva, Nora, Nevaeh, Layla, Claire, Olivia, Piper, Piper, Lydia, Kinsley\"\ne13948,2014/01/27,lunch,chinese food,\ne13949,2014/01/27,dinner,a burger,\ne13956,2014/01/28,breakfast,oatmeal,\"Layla, Eva, Olivia, Lydia, Nevaeh\"\ne13957,2014/01/28,lunch,a burger,\"Andrew, Emily, Kayden\"\ne13958,2014/01/28,dinner,sushi,\"Piper, Piper, Rylee, Lydia, Nevaeh, Eva\"\ne13964,2014/01/29,breakfast,toast and cheese,\"Andrew, Kayden\"\ne13965,2014/01/29,lunch,fish and chips,\ne13966,2014/01/29,dinner,chinese food,\"Eva, Olivia, Claire, Kinsley, Piper\"\ne13974,2014/01/30,breakfast,pancakes,\ne13975,2014/01/30,lunch,indian food,\"Emily, Kayden, Carter, Andrew\"\ne13976,2014/01/30,dinner,pasta,\ne13982,2014/01/31,breakfast,oatmeal,Avery\ne13983,2014/01/31,lunch,a burger,\"Carter, Emily, Andrew\"\ne13984,2014/01/31,dinner,sushi,\ne13990,2014/02/01,breakfast,cereals,\ne13991,2014/02/01,lunch,sushi,\"Avery, Jackson\"\ne13992,2014/02/01,dinner,steak,Nora\ne13999,2014/02/02,breakfast,cereals,\ne14000,2014/02/02,lunch,a burger,\ne14001,2014/02/02,dinner,sandwich,\ne14008,2014/02/03,breakfast,cereals,\ne14009,2014/02/03,lunch,steak,Carter\ne14010,2014/02/03,dinner,tacos,\"Emily, Carter, Kayden\"\ne14017,2014/02/04,breakfast,toast and cheese,\ne14018,2014/02/04,lunch,sushi,\ne14019,2014/02/04,dinner,pasta,\"Kayden, Carter, Andrew\"\ne14026,2014/02/05,breakfast,oatmeal,\"Andrew, Emily, Carter\"\ne14027,2014/02/05,lunch,a burger,\ne14028,2014/02/05,dinner,fish and chips,\"Jackson, Benjamin\"\ne14035,2014/02/06,breakfast,pancakes,\"Kinsley, Rylee, Eva, Hazel, Nora, Avery, Piper\"\ne14036,2014/02/06,lunch,tacos,\"Benjamin, Willow, Avery, Jackson\"\ne14037,2014/02/06,dinner,pasta,\ne14043,2014/02/07,breakfast,\"eggs, sausages, and bread\",\ne14044,2014/02/07,lunch,tacos,\"Andrew, Carter\"\ne14045,2014/02/07,dinner,sushi,Kayden\ne14053,2014/02/08,breakfast,toast and cheese,Kayden\ne14054,2014/02/08,lunch,fish and chips,\"Carter, Emily, Andrew, Kayden\"\ne14055,2014/02/08,dinner,steak,\"Olivia, Piper, Nevaeh, Hazel, Rylee, Layla, Kinsley\"\ne14062,2014/02/09,breakfast,\"eggs, sausages, and bread\",\"Jackson, Willow, Avery, Benjamin\"\ne14063,2014/02/09,lunch,fish and chips,Benjamin\ne14064,2014/02/09,dinner,sandwich,Willow\ne14071,2014/02/10,breakfast,pancakes,\"Hazel, Piper, Piper, Claire, Layla, Lydia, Nevaeh, Kinsley\"\ne14072,2014/02/10,lunch,chinese food,\ne14073,2014/02/10,dinner,steak,Kayden\ne14080,2014/02/11,breakfast,oatmeal,\"Avery, Benjamin, Jackson, Willow\"\ne14081,2014/02/11,lunch,sushi,\ne14082,2014/02/11,dinner,sushi,\ne14089,2014/02/12,breakfast,oatmeal,\"Andrew, Carter, Kayden\"\ne14090,2014/02/12,lunch,indian food,\ne14091,2014/02/12,dinner,a burger,\ne14098,2014/02/13,breakfast,oatmeal,\ne14099,2014/02/13,lunch,chinese food,\ne14100,2014/02/13,dinner,steak,\ne14106,2014/02/14,breakfast,cereals,\ne14107,2014/02/14,lunch,sushi,\ne14108,2014/02/14,dinner,indian food,\ne14115,2014/02/15,breakfast,toast and cheese,Carter\ne14116,2014/02/15,lunch,pasta,\ne14117,2014/02/15,dinner,pasta,\ne14123,2014/02/16,breakfast,pancakes,\"Andrew, Carter, Emily, Kayden\"\ne14124,2014/02/16,lunch,pasta,\ne14125,2014/02/16,dinner,indian food,\ne14131,2014/02/17,breakfast,\"eggs, sausages, and bread\",\ne14132,2014/02/17,lunch,indian food,\ne14133,2014/02/17,dinner,a burger,\"Lydia, Olivia, Nevaeh, Layla, Claire, Avery, Piper, Kinsley\"\ne14139,2014/02/18,breakfast,toast and cheese,Emily\ne14140,2014/02/18,lunch,chinese food,\ne14141,2014/02/18,dinner,steak,\"Benjamin, Jackson\"\ne14147,2014/02/19,breakfast,oatmeal,\"Nora, Nevaeh, Layla\"\ne14148,2014/02/19,lunch,chinese food,\"Emily, Andrew, Carter\"\ne14149,2014/02/19,dinner,sandwich,\ne14156,2014/02/20,breakfast,peanut-butter-jam,\ne14157,2014/02/20,lunch,chinese food,\ne14158,2014/02/20,dinner,sandwich,\ne14165,2014/02/21,breakfast,oatmeal,\ne14166,2014/02/21,lunch,a burger,\ne14167,2014/02/21,dinner,sandwich,Carter\ne14173,2014/02/22,breakfast,oatmeal,\ne14174,2014/02/22,lunch,sushi,\"Nevaeh, Avery, Layla, Piper, Rylee, Lydia, Kinsley, Eva, Nora, Piper, Olivia\"\ne14175,2014/02/22,dinner,fish and chips,\ne14182,2014/02/23,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew\"\ne14183,2014/02/23,lunch,steak,\"Nora, Layla, Kinsley, Nevaeh, Claire, Lydia, Rylee, Avery\"\ne14184,2014/02/23,dinner,a burger,\ne14191,2014/02/24,breakfast,peanut-butter-jam,\ne14192,2014/02/24,lunch,tacos,\ne14193,2014/02/24,dinner,a burger,\ne14200,2014/02/25,breakfast,cereals,\ne14201,2014/02/25,lunch,indian food,\ne14202,2014/02/25,dinner,steak,\"Kayden, Andrew\"\ne14208,2014/02/26,breakfast,cereals,Carter\ne14209,2014/02/26,lunch,pasta,Nora\ne14210,2014/02/26,dinner,steak,\ne14217,2014/02/27,breakfast,toast and cheese,\ne14218,2014/02/27,lunch,fish and chips,\"Kayden, Emily\"\ne14219,2014/02/27,dinner,steak,\ne14226,2014/02/28,breakfast,pancakes,\ne14227,2014/02/28,lunch,fish and chips,Andrew\ne14228,2014/02/28,dinner,tacos,Carter\ne14233,2014/03/01,breakfast,oatmeal,\ne14234,2014/03/01,lunch,pasta,\ne14235,2014/03/01,dinner,indian food,\ne14242,2014/03/02,breakfast,pancakes,\ne14243,2014/03/02,lunch,tacos,\ne14244,2014/03/02,dinner,sandwich,\"Emily, Andrew\"\ne14250,2014/03/03,breakfast,cereals,\"Andrew, Emily, Kayden, Carter\"\ne14251,2014/03/03,lunch,a burger,\ne14252,2014/03/03,dinner,indian food,\"Carter, Andrew, Emily\"\ne14258,2014/03/04,breakfast,cereals,\ne14259,2014/03/04,lunch,chinese food,\ne14260,2014/03/04,dinner,steak,\ne14267,2014/03/05,breakfast,\"eggs, sausages, and bread\",\ne14268,2014/03/05,lunch,fish and chips,\"Kayden, Emily, Carter\"\ne14269,2014/03/05,dinner,fish and chips,\"Eva, Nevaeh, Nora, Hazel\"\ne14275,2014/03/06,breakfast,cereals,\ne14276,2014/03/06,lunch,indian food,\ne14277,2014/03/06,dinner,pasta,\ne14284,2014/03/07,breakfast,peanut-butter-jam,\ne14285,2014/03/07,lunch,steak,\"Piper, Lydia, Nora, Layla, Nevaeh, Eva\"\ne14286,2014/03/07,dinner,a burger,\"Carter, Kayden\"\ne14293,2014/03/08,breakfast,toast and cheese,\"Carter, Kayden, Andrew, Emily\"\ne14294,2014/03/08,lunch,chinese food,\ne14295,2014/03/08,dinner,a burger,\ne14302,2014/03/09,breakfast,oatmeal,\ne14303,2014/03/09,lunch,indian food,\"Willow, Benjamin, Avery\"\ne14304,2014/03/09,dinner,pasta,\ne14311,2014/03/10,breakfast,pancakes,\ne14312,2014/03/10,lunch,steak,\ne14313,2014/03/10,dinner,tacos,\"Benjamin, Jackson, Willow, Avery\"\ne14320,2014/03/11,breakfast,peanut-butter-jam,\ne14321,2014/03/11,lunch,chinese food,\ne14322,2014/03/11,dinner,sandwich,\"Carter, Andrew, Emily\"\ne14329,2014/03/12,breakfast,pancakes,\ne14330,2014/03/12,lunch,indian food,\"Jackson, Willow\"\ne14331,2014/03/12,dinner,pasta,\ne14337,2014/03/13,breakfast,toast and cheese,\"Benjamin, Jackson, Willow, Avery\"\ne14338,2014/03/13,lunch,indian food,\"Carter, Kayden, Andrew\"\ne14339,2014/03/13,dinner,steak,\"Carter, Andrew\"\ne14346,2014/03/14,breakfast,toast and cheese,\ne14347,2014/03/14,lunch,fish and chips,\ne14348,2014/03/14,dinner,indian food,\ne14355,2014/03/15,breakfast,cereals,\"Nora, Piper, Olivia, Kinsley\"\ne14356,2014/03/15,lunch,a burger,\ne14357,2014/03/15,dinner,tacos,\"Carter, Andrew, Emily, Kayden\"\ne14363,2014/03/16,breakfast,toast and cheese,\ne14364,2014/03/16,lunch,chinese food,\ne14365,2014/03/16,dinner,steak,\ne14372,2014/03/17,breakfast,toast and cheese,\ne14373,2014/03/17,lunch,a burger,\ne14374,2014/03/17,dinner,fish and chips,\"Benjamin, Jackson\"\ne14382,2014/03/18,breakfast,pancakes,\ne14383,2014/03/18,lunch,tacos,\ne14384,2014/03/18,dinner,tacos,\ne14391,2014/03/19,breakfast,peanut-butter-jam,\"Jackson, Avery\"\ne14392,2014/03/19,lunch,chinese food,\"Layla, Rylee\"\ne14393,2014/03/19,dinner,steak,\ne14400,2014/03/20,breakfast,pancakes,\ne14401,2014/03/20,lunch,indian food,\"Emily, Kayden, Andrew\"\ne14402,2014/03/20,dinner,steak,\"Jackson, Avery\"\ne14408,2014/03/21,breakfast,pancakes,\ne14409,2014/03/21,lunch,fish and chips,\ne14410,2014/03/21,dinner,indian food,\ne14418,2014/03/22,breakfast,cereals,\ne14419,2014/03/22,lunch,steak,\"Jackson, Avery\"\ne14420,2014/03/22,dinner,pasta,Kayden\ne14427,2014/03/23,breakfast,\"eggs, sausages, and bread\",\"Kayden, Emily, Andrew\"\ne14428,2014/03/23,lunch,sandwich,\ne14429,2014/03/23,dinner,sandwich,Willow\ne14437,2014/03/24,breakfast,peanut-butter-jam,\ne14438,2014/03/24,lunch,chinese food,\ne14439,2014/03/24,dinner,steak,\"Avery, Benjamin, Jackson\"\ne14445,2014/03/25,breakfast,\"eggs, sausages, and bread\",\ne14446,2014/03/25,lunch,sandwich,\ne14447,2014/03/25,dinner,tacos,\ne14454,2014/03/26,breakfast,oatmeal,\"Willow, Avery\"\ne14455,2014/03/26,lunch,fish and chips,\"Benjamin, Avery\"\ne14456,2014/03/26,dinner,indian food,\ne14462,2014/03/27,breakfast,peanut-butter-jam,\"Andrew, Kayden, Carter\"\ne14463,2014/03/27,lunch,sushi,\ne14464,2014/03/27,dinner,pasta,\"Willow, Avery, Jackson, Benjamin\"\ne14472,2014/03/28,breakfast,toast and cheese,\ne14473,2014/03/28,lunch,fish and chips,\ne14474,2014/03/28,dinner,fish and chips,\ne14481,2014/03/29,breakfast,pancakes,\ne14482,2014/03/29,lunch,pasta,\"Emily, Kayden, Andrew, Carter\"\ne14483,2014/03/29,dinner,pasta,\"Jackson, Avery, Benjamin, Willow\"\ne14490,2014/03/30,breakfast,\"eggs, sausages, and bread\",\ne14491,2014/03/30,lunch,tacos,\"Kayden, Emily, Andrew, Carter\"\ne14492,2014/03/30,dinner,a burger,\"Nevaeh, Layla, Piper, Avery, Kinsley, Claire\"\ne14498,2014/03/31,breakfast,\"eggs, sausages, and bread\",\ne14499,2014/03/31,lunch,a burger,\"Nora, Eva, Avery, Rylee\"\ne14500,2014/03/31,dinner,indian food,Emily\ne14507,2014/04/01,breakfast,oatmeal,\"Nevaeh, Rylee, Kinsley, Piper, Eva, Piper, Layla, Olivia, Avery, Nora\"\ne14508,2014/04/01,lunch,sandwich,\"Jackson, Benjamin, Willow, Avery\"\ne14509,2014/04/01,dinner,tacos,\"Emily, Kayden, Carter, Andrew\"\ne14515,2014/04/02,breakfast,\"eggs, sausages, and bread\",\"Piper, Claire, Hazel, Kinsley, Nevaeh, Nora, Eva, Avery, Rylee, Lydia\"\ne14516,2014/04/02,lunch,sushi,Kayden\ne14517,2014/04/02,dinner,tacos,\ne14523,2014/04/03,breakfast,\"eggs, sausages, and bread\",\ne14524,2014/04/03,lunch,steak,\"Claire, Nora\"\ne14525,2014/04/03,dinner,fish and chips,\"Andrew, Emily, Kayden, Carter\"\ne14531,2014/04/04,breakfast,toast and cheese,Benjamin\ne14532,2014/04/04,lunch,sandwich,\"Carter, Kayden\"\ne14533,2014/04/04,dinner,steak,\ne14540,2014/04/05,breakfast,\"eggs, sausages, and bread\",\ne14541,2014/04/05,lunch,fish and chips,\ne14542,2014/04/05,dinner,tacos,\ne14548,2014/04/06,breakfast,\"eggs, sausages, and bread\",\ne14549,2014/04/06,lunch,pasta,\ne14550,2014/04/06,dinner,steak,\ne14557,2014/04/07,breakfast,cereals,\"Carter, Kayden, Emily, Andrew\"\ne14558,2014/04/07,lunch,sushi,\ne14559,2014/04/07,dinner,sandwich,\"Piper, Piper, Avery, Eva, Rylee\"\ne14567,2014/04/08,breakfast,cereals,\"Emily, Andrew\"\ne14568,2014/04/08,lunch,sushi,\ne14569,2014/04/08,dinner,a burger,\"Piper, Layla, Avery\"\ne14576,2014/04/09,breakfast,pancakes,\ne14577,2014/04/09,lunch,steak,\"Carter, Kayden, Andrew, Emily\"\ne14578,2014/04/09,dinner,pasta,\ne14586,2014/04/10,breakfast,toast and cheese,\ne14587,2014/04/10,lunch,a burger,\"Olivia, Lydia, Piper, Layla, Nora, Kinsley, Eva, Nevaeh, Rylee, Claire\"\ne14588,2014/04/10,dinner,fish and chips,\ne14595,2014/04/11,breakfast,oatmeal,\ne14596,2014/04/11,lunch,sushi,\ne14597,2014/04/11,dinner,chinese food,\ne14603,2014/04/12,breakfast,peanut-butter-jam,\"Eva, Piper\"\ne14604,2014/04/12,lunch,fish and chips,\"Benjamin, Willow, Jackson, Avery\"\ne14605,2014/04/12,dinner,a burger,\ne14611,2014/04/13,breakfast,\"eggs, sausages, and bread\",Willow\ne14612,2014/04/13,lunch,a burger,\ne14613,2014/04/13,dinner,chinese food,\ne14620,2014/04/14,breakfast,cereals,\ne14621,2014/04/14,lunch,sandwich,\ne14622,2014/04/14,dinner,sandwich,\ne14628,2014/04/15,breakfast,peanut-butter-jam,\"Kayden, Emily, Andrew, Carter\"\ne14629,2014/04/15,lunch,sandwich,\ne14630,2014/04/15,dinner,chinese food,\"Claire, Rylee\"\ne14636,2014/04/16,breakfast,pancakes,\ne14637,2014/04/16,lunch,pasta,\ne14638,2014/04/16,dinner,pasta,\"Lydia, Nevaeh, Claire\"\ne14645,2014/04/17,breakfast,toast and cheese,\"Avery, Benjamin, Willow\"\ne14646,2014/04/17,lunch,chinese food,\ne14647,2014/04/17,dinner,tacos,\ne14654,2014/04/18,breakfast,pancakes,\ne14655,2014/04/18,lunch,tacos,\"Jackson, Avery\"\ne14656,2014/04/18,dinner,sushi,\ne14662,2014/04/19,breakfast,cereals,\"Emily, Carter, Kayden\"\ne14663,2014/04/19,lunch,a burger,\ne14664,2014/04/19,dinner,fish and chips,\"Carter, Andrew, Kayden\"\ne14672,2014/04/20,breakfast,toast and cheese,\"Nevaeh, Piper, Nora, Layla, Rylee, Olivia, Avery\"\ne14673,2014/04/20,lunch,indian food,\ne14674,2014/04/20,dinner,chinese food,\"Emily, Andrew, Carter, Kayden\"\ne14680,2014/04/21,breakfast,peanut-butter-jam,\ne14681,2014/04/21,lunch,sandwich,\ne14682,2014/04/21,dinner,indian food,\"Willow, Benjamin, Jackson, Avery\"\ne14689,2014/04/22,breakfast,oatmeal,\ne14690,2014/04/22,lunch,fish and chips,\ne14691,2014/04/22,dinner,sushi,Andrew\ne14698,2014/04/23,breakfast,toast and cheese,\ne14699,2014/04/23,lunch,steak,\"Avery, Layla, Piper\"\ne14700,2014/04/23,dinner,fish and chips,\ne14707,2014/04/24,breakfast,toast and cheese,\"Emily, Kayden\"\ne14708,2014/04/24,lunch,pasta,\"Carter, Kayden\"\ne14709,2014/04/24,dinner,sushi,\ne14716,2014/04/25,breakfast,toast and cheese,\ne14717,2014/04/25,lunch,sushi,\"Rylee, Lydia, Eva\"\ne14718,2014/04/25,dinner,a burger,\ne14725,2014/04/26,breakfast,pancakes,\"Emily, Andrew\"\ne14726,2014/04/26,lunch,sandwich,\"Emily, Andrew, Carter, Kayden\"\ne14727,2014/04/26,dinner,fish and chips,\"Lydia, Avery, Eva, Piper, Rylee, Claire, Nevaeh\"\ne14733,2014/04/27,breakfast,toast and cheese,\ne14734,2014/04/27,lunch,indian food,\"Olivia, Nora, Rylee, Piper, Eva, Hazel, Claire, Nevaeh, Avery, Lydia, Layla, Kinsley, Piper\"\ne14735,2014/04/27,dinner,steak,Kayden\ne14742,2014/04/28,breakfast,\"eggs, sausages, and bread\",\"Lydia, Hazel, Piper, Layla, Piper, Nora, Avery, Claire, Nevaeh, Olivia, Eva\"\ne14743,2014/04/28,lunch,sandwich,\ne14744,2014/04/28,dinner,indian food,\ne14752,2014/04/29,breakfast,toast and cheese,\ne14753,2014/04/29,lunch,steak,\ne14754,2014/04/29,dinner,chinese food,\ne14761,2014/04/30,breakfast,pancakes,Avery\ne14762,2014/04/30,lunch,steak,\"Carter, Emily\"\ne14763,2014/04/30,dinner,steak,\ne14769,2014/05/01,breakfast,toast and cheese,\ne14770,2014/05/01,lunch,sandwich,\ne14771,2014/05/01,dinner,fish and chips,\ne14778,2014/05/02,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter, Emily, Andrew\"\ne14779,2014/05/02,lunch,tacos,\ne14780,2014/05/02,dinner,chinese food,\ne14787,2014/05/03,breakfast,peanut-butter-jam,\ne14788,2014/05/03,lunch,fish and chips,\ne14789,2014/05/03,dinner,steak,\ne14795,2014/05/04,breakfast,oatmeal,\ne14796,2014/05/04,lunch,indian food,\ne14797,2014/05/04,dinner,steak,\ne14803,2014/05/05,breakfast,pancakes,\"Rylee, Layla, Avery, Claire, Kinsley, Piper, Nora, Eva, Nevaeh\"\ne14804,2014/05/05,lunch,tacos,Piper\ne14805,2014/05/05,dinner,fish and chips,\ne14812,2014/05/06,breakfast,\"eggs, sausages, and bread\",\"Willow, Avery, Jackson\"\ne14813,2014/05/06,lunch,tacos,\"Kinsley, Nevaeh, Claire, Avery, Lydia, Eva, Layla, Piper, Piper, Olivia, Nora, Hazel, Rylee\"\ne14814,2014/05/06,dinner,tacos,Emily\ne14821,2014/05/07,breakfast,oatmeal,Carter\ne14822,2014/05/07,lunch,pasta,\"Carter, Emily, Andrew, Kayden\"\ne14823,2014/05/07,dinner,chinese food,\ne14830,2014/05/08,breakfast,\"eggs, sausages, and bread\",\ne14831,2014/05/08,lunch,chinese food,\ne14832,2014/05/08,dinner,a burger,\ne14839,2014/05/09,breakfast,oatmeal,\"Kayden, Andrew, Emily, Carter\"\ne14840,2014/05/09,lunch,fish and chips,\ne14841,2014/05/09,dinner,fish and chips,\ne14848,2014/05/10,breakfast,cereals,\ne14849,2014/05/10,lunch,sushi,\"Nora, Piper, Lydia\"\ne14850,2014/05/10,dinner,sushi,\ne14857,2014/05/11,breakfast,cereals,Willow\ne14858,2014/05/11,lunch,sushi,\"Carter, Andrew, Kayden\"\ne14859,2014/05/11,dinner,sushi,\ne14867,2014/05/12,breakfast,\"eggs, sausages, and bread\",\ne14868,2014/05/12,lunch,chinese food,\ne14869,2014/05/12,dinner,fish and chips,\ne14875,2014/05/13,breakfast,oatmeal,\"Nevaeh, Avery, Hazel, Eva, Piper, Layla, Olivia, Kinsley\"\ne14876,2014/05/13,lunch,chinese food,\"Andrew, Kayden\"\ne14877,2014/05/13,dinner,pasta,\ne14884,2014/05/14,breakfast,toast and cheese,\ne14885,2014/05/14,lunch,sandwich,\ne14886,2014/05/14,dinner,a burger,\ne14892,2014/05/15,breakfast,oatmeal,\ne14893,2014/05/15,lunch,fish and chips,\ne14894,2014/05/15,dinner,steak,\"Carter, Kayden\"\ne14901,2014/05/16,breakfast,peanut-butter-jam,\ne14902,2014/05/16,lunch,sushi,\ne14903,2014/05/16,dinner,sushi,Avery\ne14909,2014/05/17,breakfast,oatmeal,\ne14910,2014/05/17,lunch,sushi,\ne14911,2014/05/17,dinner,indian food,\ne14919,2014/05/18,breakfast,peanut-butter-jam,\ne14920,2014/05/18,lunch,fish and chips,\"Carter, Kayden, Andrew, Emily\"\ne14921,2014/05/18,dinner,chinese food,\ne14928,2014/05/19,breakfast,cereals,\ne14929,2014/05/19,lunch,sushi,\ne14930,2014/05/19,dinner,chinese food,\ne14936,2014/05/20,breakfast,cereals,\"Eva, Nevaeh, Hazel, Piper, Nora, Claire, Olivia, Rylee, Lydia\"\ne14937,2014/05/20,lunch,tacos,\ne14938,2014/05/20,dinner,steak,\ne14944,2014/05/21,breakfast,\"eggs, sausages, and bread\",\ne14945,2014/05/21,lunch,chinese food,\ne14946,2014/05/21,dinner,steak,\ne14953,2014/05/22,breakfast,cereals,\ne14954,2014/05/22,lunch,steak,\ne14955,2014/05/22,dinner,tacos,\ne14961,2014/05/23,breakfast,cereals,\ne14962,2014/05/23,lunch,pasta,\"Piper, Kinsley, Olivia, Hazel, Piper, Nevaeh, Layla, Nora, Eva, Rylee\"\ne14963,2014/05/23,dinner,fish and chips,\"Andrew, Carter\"\ne14969,2014/05/24,breakfast,\"eggs, sausages, and bread\",\ne14970,2014/05/24,lunch,fish and chips,\"Kayden, Carter, Emily\"\ne14971,2014/05/24,dinner,fish and chips,\ne14978,2014/05/25,breakfast,\"eggs, sausages, and bread\",\"Andrew, Emily\"\ne14979,2014/05/25,lunch,sandwich,\ne14980,2014/05/25,dinner,pasta,\"Lydia, Nevaeh, Kinsley, Piper, Avery, Layla, Eva\"\ne14985,2014/05/26,breakfast,peanut-butter-jam,\ne14986,2014/05/26,lunch,fish and chips,\ne14987,2014/05/26,dinner,tacos,\ne14994,2014/05/27,breakfast,cereals,Andrew\ne14995,2014/05/27,lunch,tacos,Kayden\ne14996,2014/05/27,dinner,tacos,\"Kinsley, Claire, Nora, Piper\"\ne15002,2014/05/28,breakfast,cereals,\"Hazel, Avery, Claire, Nevaeh, Nora, Olivia, Piper, Eva, Kinsley, Rylee, Layla, Lydia, Piper\"\ne15003,2014/05/28,lunch,sandwich,\ne15004,2014/05/28,dinner,chinese food,\ne15012,2014/05/29,breakfast,oatmeal,\ne15013,2014/05/29,lunch,tacos,\"Layla, Piper, Olivia, Kinsley, Claire, Hazel, Lydia, Rylee, Nevaeh, Avery, Nora\"\ne15014,2014/05/29,dinner,indian food,\ne15021,2014/05/30,breakfast,oatmeal,\ne15022,2014/05/30,lunch,a burger,\"Emily, Andrew, Carter, Kayden\"\ne15023,2014/05/30,dinner,sandwich,\"Emily, Kayden, Andrew\"\ne15029,2014/05/31,breakfast,\"eggs, sausages, and bread\",\ne15030,2014/05/31,lunch,tacos,\ne15031,2014/05/31,dinner,steak,\ne15039,2014/06/01,breakfast,peanut-butter-jam,\"Andrew, Kayden, Carter\"\ne15040,2014/06/01,lunch,fish and chips,\ne15041,2014/06/01,dinner,pasta,\ne15046,2014/06/02,breakfast,cereals,Jackson\ne15047,2014/06/02,lunch,a burger,\ne15048,2014/06/02,dinner,a burger,\ne15055,2014/06/03,breakfast,cereals,\ne15056,2014/06/03,lunch,sushi,\"Eva, Claire, Nora, Nevaeh, Piper, Rylee\"\ne15057,2014/06/03,dinner,steak,Carter\ne15064,2014/06/04,breakfast,pancakes,\ne15065,2014/06/04,lunch,fish and chips,\ne15066,2014/06/04,dinner,pasta,\ne15073,2014/06/05,breakfast,pancakes,\ne15074,2014/06/05,lunch,sushi,\ne15075,2014/06/05,dinner,chinese food,\"Emily, Carter, Andrew, Kayden\"\ne15082,2014/06/06,breakfast,oatmeal,\"Andrew, Kayden, Carter, Emily\"\ne15083,2014/06/06,lunch,a burger,\ne15084,2014/06/06,dinner,sandwich,\ne15090,2014/06/07,breakfast,oatmeal,\ne15091,2014/06/07,lunch,pasta,\ne15092,2014/06/07,dinner,sushi,\"Nevaeh, Piper\"\ne15100,2014/06/08,breakfast,\"eggs, sausages, and bread\",\"Rylee, Nora, Kinsley, Piper\"\ne15101,2014/06/08,lunch,pasta,\ne15102,2014/06/08,dinner,steak,\ne15109,2014/06/09,breakfast,\"eggs, sausages, and bread\",\ne15110,2014/06/09,lunch,indian food,\"Willow, Avery, Benjamin, Jackson\"\ne15111,2014/06/09,dinner,tacos,\ne15118,2014/06/10,breakfast,\"eggs, sausages, and bread\",\ne15119,2014/06/10,lunch,a burger,\ne15120,2014/06/10,dinner,sandwich,\ne15127,2014/06/11,breakfast,toast and cheese,Benjamin\ne15128,2014/06/11,lunch,pasta,\"Kinsley, Avery, Piper, Olivia, Claire, Lydia, Rylee\"\ne15129,2014/06/11,dinner,steak,Emily\ne15137,2014/06/12,breakfast,cereals,\ne15138,2014/06/12,lunch,fish and chips,\ne15139,2014/06/12,dinner,sandwich,\ne15146,2014/06/13,breakfast,cereals,\ne15147,2014/06/13,lunch,tacos,\"Carter, Kayden, Emily, Andrew\"\ne15148,2014/06/13,dinner,sandwich,\ne15156,2014/06/14,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden, Carter\"\ne15157,2014/06/14,lunch,sandwich,\"Emily, Carter\"\ne15158,2014/06/14,dinner,fish and chips,\ne15165,2014/06/15,breakfast,oatmeal,\"Claire, Nora, Olivia, Nevaeh, Avery, Piper\"\ne15166,2014/06/15,lunch,steak,\ne15167,2014/06/15,dinner,sandwich,\"Willow, Benjamin\"\ne15175,2014/06/16,breakfast,peanut-butter-jam,\ne15176,2014/06/16,lunch,pasta,\ne15177,2014/06/16,dinner,fish and chips,\ne15184,2014/06/17,breakfast,oatmeal,\"Piper, Eva, Claire, Olivia, Nora, Rylee, Avery, Nevaeh, Layla\"\ne15185,2014/06/17,lunch,fish and chips,\"Emily, Kayden, Andrew, Carter\"\ne15186,2014/06/17,dinner,sushi,\ne15192,2014/06/18,breakfast,toast and cheese,\"Andrew, Emily, Kayden, Carter\"\ne15193,2014/06/18,lunch,indian food,\"Olivia, Avery, Kinsley, Rylee, Hazel, Nora, Eva, Claire\"\ne15194,2014/06/18,dinner,chinese food,\ne15199,2014/06/19,breakfast,pancakes,\"Kinsley, Eva\"\ne15200,2014/06/19,lunch,steak,\ne15201,2014/06/19,dinner,steak,\ne15207,2014/06/20,breakfast,peanut-butter-jam,\ne15208,2014/06/20,lunch,sushi,\ne15209,2014/06/20,dinner,pasta,\"Carter, Kayden, Andrew\"\ne15217,2014/06/21,breakfast,oatmeal,\"Benjamin, Avery, Jackson, Willow\"\ne15218,2014/06/21,lunch,fish and chips,\ne15219,2014/06/21,dinner,fish and chips,\"Emily, Carter\"\ne15225,2014/06/22,breakfast,toast and cheese,\ne15226,2014/06/22,lunch,sushi,\ne15227,2014/06/22,dinner,a burger,\ne15234,2014/06/23,breakfast,oatmeal,\"Avery, Benjamin, Jackson\"\ne15235,2014/06/23,lunch,indian food,\ne15236,2014/06/23,dinner,chinese food,\ne15243,2014/06/24,breakfast,peanut-butter-jam,\ne15244,2014/06/24,lunch,pasta,\ne15245,2014/06/24,dinner,a burger,\ne15252,2014/06/25,breakfast,oatmeal,\ne15253,2014/06/25,lunch,steak,\ne15254,2014/06/25,dinner,a burger,\ne15260,2014/06/26,breakfast,\"eggs, sausages, and bread\",\ne15261,2014/06/26,lunch,tacos,\ne15262,2014/06/26,dinner,tacos,\"Kinsley, Avery, Eva, Lydia, Nevaeh, Claire, Layla, Piper, Nora, Olivia, Hazel, Rylee\"\ne15268,2014/06/27,breakfast,peanut-butter-jam,\ne15269,2014/06/27,lunch,steak,\ne15270,2014/06/27,dinner,fish and chips,\"Avery, Benjamin, Jackson\"\ne15276,2014/06/28,breakfast,\"eggs, sausages, and bread\",\ne15277,2014/06/28,lunch,pasta,\ne15278,2014/06/28,dinner,sandwich,Avery\ne15284,2014/06/29,breakfast,\"eggs, sausages, and bread\",\"Nora, Rylee, Claire, Hazel, Avery\"\ne15285,2014/06/29,lunch,a burger,\ne15286,2014/06/29,dinner,chinese food,\ne15293,2014/06/30,breakfast,toast and cheese,\ne15294,2014/06/30,lunch,indian food,Piper\ne15295,2014/06/30,dinner,tacos,\ne15302,2014/07/01,breakfast,toast and cheese,\"Nora, Kinsley, Nevaeh, Piper\"\ne15303,2014/07/01,lunch,sushi,\"Piper, Piper, Kinsley, Nora, Lydia, Hazel, Olivia, Rylee\"\ne15304,2014/07/01,dinner,steak,\ne15311,2014/07/02,breakfast,peanut-butter-jam,\ne15312,2014/07/02,lunch,indian food,\ne15313,2014/07/02,dinner,a burger,\"Carter, Emily\"\ne15319,2014/07/03,breakfast,\"eggs, sausages, and bread\",\ne15320,2014/07/03,lunch,sushi,\ne15321,2014/07/03,dinner,fish and chips,\ne15328,2014/07/04,breakfast,cereals,\"Carter, Andrew\"\ne15329,2014/07/04,lunch,indian food,\ne15330,2014/07/04,dinner,sandwich,\"Kayden, Carter, Andrew\"\ne15336,2014/07/05,breakfast,cereals,\ne15337,2014/07/05,lunch,fish and chips,\"Nevaeh, Nora, Lydia, Olivia, Claire, Hazel, Kinsley, Rylee\"\ne15338,2014/07/05,dinner,indian food,\ne15345,2014/07/06,breakfast,pancakes,\"Hazel, Lydia, Kinsley, Nevaeh, Layla, Claire\"\ne15346,2014/07/06,lunch,tacos,\ne15347,2014/07/06,dinner,tacos,\"Piper, Eva, Olivia, Nevaeh, Claire, Piper, Hazel, Lydia, Avery\"\ne15355,2014/07/07,breakfast,\"eggs, sausages, and bread\",\ne15356,2014/07/07,lunch,tacos,\ne15357,2014/07/07,dinner,steak,\ne15363,2014/07/08,breakfast,peanut-butter-jam,Kayden\ne15364,2014/07/08,lunch,pasta,\"Kinsley, Rylee, Piper, Nevaeh, Eva, Nora, Lydia, Layla, Hazel, Olivia\"\ne15365,2014/07/08,dinner,sushi,\"Nora, Claire, Piper, Lydia, Rylee\"\ne15371,2014/07/09,breakfast,oatmeal,\ne15372,2014/07/09,lunch,fish and chips,\ne15373,2014/07/09,dinner,tacos,Andrew\ne15380,2014/07/10,breakfast,toast and cheese,\"Layla, Piper, Avery, Lydia, Nora, Kinsley, Olivia\"\ne15381,2014/07/10,lunch,a burger,\ne15382,2014/07/10,dinner,tacos,Emily\ne15389,2014/07/11,breakfast,\"eggs, sausages, and bread\",\ne15390,2014/07/11,lunch,fish and chips,\"Kinsley, Avery, Piper, Claire, Hazel, Eva, Layla\"\ne15391,2014/07/11,dinner,indian food,\ne15399,2014/07/12,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Kayden\"\ne15400,2014/07/12,lunch,sushi,\ne15401,2014/07/12,dinner,indian food,\ne15407,2014/07/13,breakfast,pancakes,\"Kayden, Emily, Andrew\"\ne15408,2014/07/13,lunch,steak,\"Carter, Andrew, Kayden, Emily\"\ne15409,2014/07/13,dinner,steak,\ne15415,2014/07/14,breakfast,oatmeal,\"Jackson, Willow, Avery\"\ne15416,2014/07/14,lunch,sandwich,\"Kayden, Carter, Emily\"\ne15417,2014/07/14,dinner,tacos,\ne15423,2014/07/15,breakfast,cereals,\"Andrew, Kayden, Emily\"\ne15424,2014/07/15,lunch,indian food,\ne15425,2014/07/15,dinner,sandwich,\"Piper, Kinsley, Rylee, Layla, Claire, Avery\"\ne15432,2014/07/16,breakfast,pancakes,\ne15433,2014/07/16,lunch,fish and chips,\"Nevaeh, Olivia\"\ne15434,2014/07/16,dinner,pasta,\ne15440,2014/07/17,breakfast,pancakes,\ne15441,2014/07/17,lunch,chinese food,\"Andrew, Carter, Emily\"\ne15442,2014/07/17,dinner,tacos,\ne15448,2014/07/18,breakfast,toast and cheese,\ne15449,2014/07/18,lunch,tacos,\ne15450,2014/07/18,dinner,fish and chips,\"Rylee, Eva, Piper, Layla, Olivia\"\ne15457,2014/07/19,breakfast,pancakes,\"Emily, Andrew\"\ne15458,2014/07/19,lunch,sushi,\"Nora, Piper, Claire, Layla, Kinsley, Olivia, Hazel, Eva, Lydia\"\ne15459,2014/07/19,dinner,fish and chips,\ne15464,2014/07/20,breakfast,toast and cheese,\ne15465,2014/07/20,lunch,pasta,\ne15466,2014/07/20,dinner,fish and chips,\ne15473,2014/07/21,breakfast,toast and cheese,\ne15474,2014/07/21,lunch,tacos,\ne15475,2014/07/21,dinner,steak,\"Carter, Kayden, Andrew\"\ne15482,2014/07/22,breakfast,pancakes,\ne15483,2014/07/22,lunch,chinese food,\ne15484,2014/07/22,dinner,sushi,\"Benjamin, Jackson\"\ne15491,2014/07/23,breakfast,toast and cheese,\ne15492,2014/07/23,lunch,pasta,\ne15493,2014/07/23,dinner,fish and chips,\ne15499,2014/07/24,breakfast,cereals,\ne15500,2014/07/24,lunch,pasta,\ne15501,2014/07/24,dinner,fish and chips,\"Willow, Benjamin\"\ne15506,2014/07/25,breakfast,pancakes,\"Avery, Benjamin, Jackson\"\ne15507,2014/07/25,lunch,sandwich,Carter\ne15508,2014/07/25,dinner,indian food,\"Andrew, Carter\"\ne15515,2014/07/26,breakfast,oatmeal,Jackson\ne15516,2014/07/26,lunch,indian food,\"Kinsley, Piper, Rylee, Piper, Lydia, Olivia, Eva, Layla, Avery, Nora, Hazel\"\ne15517,2014/07/26,dinner,tacos,Jackson\ne15523,2014/07/27,breakfast,cereals,\ne15524,2014/07/27,lunch,fish and chips,\"Piper, Eva, Hazel, Claire\"\ne15525,2014/07/27,dinner,sushi,\"Emily, Carter\"\ne15532,2014/07/28,breakfast,toast and cheese,\ne15533,2014/07/28,lunch,sushi,\"Olivia, Nevaeh\"\ne15534,2014/07/28,dinner,a burger,\"Kayden, Emily, Carter\"\ne15541,2014/07/29,breakfast,peanut-butter-jam,\ne15542,2014/07/29,lunch,indian food,\"Nora, Avery, Lydia, Eva, Layla, Nevaeh, Olivia, Piper, Hazel, Claire\"\ne15543,2014/07/29,dinner,pasta,\ne15550,2014/07/30,breakfast,oatmeal,\"Avery, Benjamin, Willow, Jackson\"\ne15551,2014/07/30,lunch,steak,\"Lydia, Rylee, Piper, Avery, Kinsley, Piper, Nora, Layla, Olivia, Claire\"\ne15552,2014/07/30,dinner,steak,\ne15558,2014/07/31,breakfast,pancakes,\"Jackson, Avery\"\ne15559,2014/07/31,lunch,sushi,\ne15560,2014/07/31,dinner,a burger,\ne15567,2014/08/01,breakfast,cereals,\ne15568,2014/08/01,lunch,a burger,\ne15569,2014/08/01,dinner,a burger,\"Jackson, Benjamin, Willow\"\ne15576,2014/08/02,breakfast,peanut-butter-jam,\ne15577,2014/08/02,lunch,sandwich,\"Benjamin, Willow, Avery, Jackson\"\ne15578,2014/08/02,dinner,tacos,\"Andrew, Emily, Kayden, Carter\"\ne15585,2014/08/03,breakfast,toast and cheese,\ne15586,2014/08/03,lunch,chinese food,Andrew\ne15587,2014/08/03,dinner,tacos,\ne15593,2014/08/04,breakfast,toast and cheese,\ne15594,2014/08/04,lunch,a burger,\ne15595,2014/08/04,dinner,tacos,\ne15601,2014/08/05,breakfast,oatmeal,\"Kayden, Andrew, Emily, Carter\"\ne15602,2014/08/05,lunch,sandwich,\ne15603,2014/08/05,dinner,a burger,\"Carter, Andrew, Emily, Kayden\"\ne15610,2014/08/06,breakfast,toast and cheese,\ne15611,2014/08/06,lunch,chinese food,Andrew\ne15612,2014/08/06,dinner,pasta,\"Willow, Avery\"\ne15619,2014/08/07,breakfast,oatmeal,\ne15620,2014/08/07,lunch,sushi,\ne15621,2014/08/07,dinner,chinese food,\ne15628,2014/08/08,breakfast,\"eggs, sausages, and bread\",\"Emily, Andrew, Kayden, Carter\"\ne15629,2014/08/08,lunch,a burger,\ne15630,2014/08/08,dinner,a burger,\ne15638,2014/08/09,breakfast,pancakes,\"Piper, Claire, Kinsley\"\ne15639,2014/08/09,lunch,sushi,\ne15640,2014/08/09,dinner,pasta,\ne15645,2014/08/10,breakfast,toast and cheese,\"Olivia, Rylee, Claire, Avery, Hazel, Piper, Layla\"\ne15646,2014/08/10,lunch,sushi,\ne15647,2014/08/10,dinner,sandwich,\ne15652,2014/08/11,breakfast,oatmeal,\"Piper, Piper\"\ne15653,2014/08/11,lunch,a burger,\"Avery, Nora, Piper, Nevaeh, Layla, Kinsley, Claire, Eva, Hazel, Rylee, Piper\"\ne15654,2014/08/11,dinner,tacos,\ne15660,2014/08/12,breakfast,oatmeal,\ne15661,2014/08/12,lunch,fish and chips,\"Avery, Kinsley, Olivia, Hazel, Piper, Rylee, Layla, Lydia, Piper\"\ne15662,2014/08/12,dinner,steak,\ne15670,2014/08/13,breakfast,toast and cheese,\ne15671,2014/08/13,lunch,steak,\ne15672,2014/08/13,dinner,chinese food,\ne15680,2014/08/14,breakfast,peanut-butter-jam,\ne15681,2014/08/14,lunch,sandwich,\"Avery, Kinsley, Nora, Hazel, Lydia, Eva\"\ne15682,2014/08/14,dinner,fish and chips,\ne15689,2014/08/15,breakfast,pancakes,\"Kinsley, Eva, Avery, Piper, Claire, Nevaeh, Olivia, Hazel, Lydia, Nora, Piper, Layla\"\ne15690,2014/08/15,lunch,indian food,\"Carter, Kayden, Andrew, Emily\"\ne15691,2014/08/15,dinner,sandwich,\ne15697,2014/08/16,breakfast,toast and cheese,\"Hazel, Rylee, Piper, Eva, Claire\"\ne15698,2014/08/16,lunch,chinese food,\"Nora, Kinsley, Piper, Olivia, Hazel, Layla, Avery, Eva\"\ne15699,2014/08/16,dinner,indian food,\"Kayden, Carter, Emily\"\ne15705,2014/08/17,breakfast,pancakes,Emily\ne15706,2014/08/17,lunch,steak,\"Andrew, Carter\"\ne15707,2014/08/17,dinner,sandwich,\ne15713,2014/08/18,breakfast,toast and cheese,\ne15714,2014/08/18,lunch,indian food,\"Willow, Avery\"\ne15715,2014/08/18,dinner,sushi,\ne15720,2014/08/19,breakfast,cereals,\ne15721,2014/08/19,lunch,fish and chips,Kayden\ne15722,2014/08/19,dinner,chinese food,\"Avery, Rylee, Lydia, Nora, Kinsley, Nevaeh, Olivia, Layla, Hazel, Claire, Piper, Piper\"\ne15729,2014/08/20,breakfast,\"eggs, sausages, and bread\",\"Piper, Claire, Lydia, Rylee, Nevaeh, Eva, Layla, Olivia, Nora, Avery\"\ne15730,2014/08/20,lunch,tacos,Andrew\ne15731,2014/08/20,dinner,a burger,\ne15738,2014/08/21,breakfast,peanut-butter-jam,\"Andrew, Carter, Kayden\"\ne15739,2014/08/21,lunch,tacos,\ne15740,2014/08/21,dinner,steak,\ne15747,2014/08/22,breakfast,peanut-butter-jam,\"Hazel, Olivia, Kinsley, Nora\"\ne15748,2014/08/22,lunch,steak,\ne15749,2014/08/22,dinner,sandwich,\"Piper, Kinsley, Nora, Claire, Nevaeh, Piper\"\ne15756,2014/08/23,breakfast,toast and cheese,\"Olivia, Nevaeh, Hazel, Piper, Avery, Lydia, Eva, Claire, Piper, Nora\"\ne15757,2014/08/23,lunch,sushi,\ne15758,2014/08/23,dinner,tacos,\ne15764,2014/08/24,breakfast,oatmeal,\"Jackson, Willow, Avery\"\ne15765,2014/08/24,lunch,sandwich,\ne15766,2014/08/24,dinner,tacos,\ne15774,2014/08/25,breakfast,pancakes,\ne15775,2014/08/25,lunch,fish and chips,\ne15776,2014/08/25,dinner,fish and chips,\"Avery, Jackson, Willow, Benjamin\"\ne15784,2014/08/26,breakfast,cereals,Kayden\ne15785,2014/08/26,lunch,a burger,\ne15786,2014/08/26,dinner,tacos,\"Emily, Carter, Kayden\"\ne15793,2014/08/27,breakfast,pancakes,\"Emily, Kayden\"\ne15794,2014/08/27,lunch,steak,\"Nevaeh, Nora, Lydia, Piper, Claire, Kinsley, Olivia\"\ne15795,2014/08/27,dinner,steak,\ne15802,2014/08/28,breakfast,cereals,\"Kayden, Emily, Carter\"\ne15803,2014/08/28,lunch,a burger,\ne15804,2014/08/28,dinner,fish and chips,\ne15810,2014/08/29,breakfast,oatmeal,\ne15811,2014/08/29,lunch,steak,\ne15812,2014/08/29,dinner,tacos,\ne15819,2014/08/30,breakfast,peanut-butter-jam,\ne15820,2014/08/30,lunch,fish and chips,\ne15821,2014/08/30,dinner,pasta,\ne15828,2014/08/31,breakfast,peanut-butter-jam,\"Andrew, Kayden, Emily\"\ne15829,2014/08/31,lunch,sandwich,Kayden\ne15830,2014/08/31,dinner,sushi,\ne15837,2014/09/01,breakfast,\"eggs, sausages, and bread\",\"Eva, Nora, Rylee, Piper, Kinsley, Avery\"\ne15838,2014/09/01,lunch,sandwich,\ne15839,2014/09/01,dinner,pasta,\ne15846,2014/09/02,breakfast,cereals,\ne15847,2014/09/02,lunch,a burger,\ne15848,2014/09/02,dinner,chinese food,\"Benjamin, Willow, Avery, Jackson\"\ne15854,2014/09/03,breakfast,toast and cheese,\ne15855,2014/09/03,lunch,fish and chips,Andrew\ne15856,2014/09/03,dinner,sandwich,\ne15863,2014/09/04,breakfast,cereals,Avery\ne15864,2014/09/04,lunch,chinese food,\"Lydia, Avery, Claire, Piper\"\ne15865,2014/09/04,dinner,chinese food,\"Kayden, Carter\"\ne15871,2014/09/05,breakfast,toast and cheese,\ne15872,2014/09/05,lunch,a burger,\ne15873,2014/09/05,dinner,indian food,\ne15878,2014/09/06,breakfast,cereals,\ne15879,2014/09/06,lunch,a burger,\ne15880,2014/09/06,dinner,indian food,\ne15886,2014/09/07,breakfast,toast and cheese,\"Piper, Kinsley, Hazel, Eva\"\ne15887,2014/09/07,lunch,fish and chips,\ne15888,2014/09/07,dinner,tacos,\"Layla, Avery, Lydia, Rylee, Claire, Eva, Piper, Nora, Hazel, Piper, Olivia, Kinsley, Nevaeh\"\ne15895,2014/09/08,breakfast,oatmeal,Emily\ne15896,2014/09/08,lunch,steak,\ne15897,2014/09/08,dinner,tacos,\"Avery, Nevaeh, Hazel\"\ne15905,2014/09/09,breakfast,oatmeal,\ne15906,2014/09/09,lunch,fish and chips,\ne15907,2014/09/09,dinner,chinese food,\"Rylee, Claire, Olivia, Lydia\"\ne15913,2014/09/10,breakfast,cereals,\"Nora, Avery, Olivia, Eva, Hazel, Piper, Claire, Nevaeh, Piper, Lydia\"\ne15914,2014/09/10,lunch,pasta,\"Kayden, Emily, Andrew, Carter\"\ne15915,2014/09/10,dinner,sushi,\ne15922,2014/09/11,breakfast,cereals,Emily\ne15923,2014/09/11,lunch,fish and chips,Jackson\ne15924,2014/09/11,dinner,chinese food,\ne15931,2014/09/12,breakfast,\"eggs, sausages, and bread\",\ne15932,2014/09/12,lunch,steak,\ne15933,2014/09/12,dinner,tacos,\"Willow, Avery, Benjamin\"\ne15939,2014/09/13,breakfast,cereals,\ne15940,2014/09/13,lunch,tacos,\ne15941,2014/09/13,dinner,chinese food,\"Jackson, Benjamin, Avery\"\ne15948,2014/09/14,breakfast,\"eggs, sausages, and bread\",Carter\ne15949,2014/09/14,lunch,indian food,\ne15950,2014/09/14,dinner,sushi,\ne15956,2014/09/15,breakfast,peanut-butter-jam,\ne15957,2014/09/15,lunch,a burger,\ne15958,2014/09/15,dinner,tacos,\"Eva, Hazel, Nora, Layla, Piper, Claire, Rylee, Kinsley, Piper, Avery, Olivia, Nevaeh\"\ne15966,2014/09/16,breakfast,pancakes,\"Rylee, Olivia, Hazel, Nora, Lydia, Avery, Claire, Piper, Kinsley, Eva\"\ne15967,2014/09/16,lunch,fish and chips,\ne15968,2014/09/16,dinner,pasta,\ne15975,2014/09/17,breakfast,cereals,\"Kayden, Andrew\"\ne15976,2014/09/17,lunch,fish and chips,\"Benjamin, Avery\"\ne15977,2014/09/17,dinner,chinese food,\"Layla, Piper, Eva, Piper, Claire, Nora, Nevaeh, Avery\"\ne15983,2014/09/18,breakfast,oatmeal,\"Emily, Andrew, Kayden, Carter\"\ne15984,2014/09/18,lunch,pasta,\"Emily, Carter\"\ne15985,2014/09/18,dinner,fish and chips,\ne15993,2014/09/19,breakfast,\"eggs, sausages, and bread\",\ne15994,2014/09/19,lunch,sushi,\"Emily, Andrew, Kayden, Carter\"\ne15995,2014/09/19,dinner,pasta,\ne16002,2014/09/20,breakfast,toast and cheese,\ne16003,2014/09/20,lunch,tacos,\"Emily, Andrew\"\ne16004,2014/09/20,dinner,sushi,\ne16012,2014/09/21,breakfast,toast and cheese,\ne16013,2014/09/21,lunch,a burger,\"Emily, Kayden, Andrew, Carter\"\ne16014,2014/09/21,dinner,indian food,\ne16020,2014/09/22,breakfast,pancakes,\"Kayden, Andrew, Emily\"\ne16021,2014/09/22,lunch,indian food,\ne16022,2014/09/22,dinner,fish and chips,\ne16028,2014/09/23,breakfast,\"eggs, sausages, and bread\",\ne16029,2014/09/23,lunch,steak,\ne16030,2014/09/23,dinner,sushi,\"Emily, Kayden\"\ne16036,2014/09/24,breakfast,pancakes,\"Carter, Emily\"\ne16037,2014/09/24,lunch,chinese food,Emily\ne16038,2014/09/24,dinner,indian food,\ne16045,2014/09/25,breakfast,peanut-butter-jam,\ne16046,2014/09/25,lunch,indian food,\ne16047,2014/09/25,dinner,pasta,Emily\ne16054,2014/09/26,breakfast,toast and cheese,\"Jackson, Benjamin, Avery\"\ne16055,2014/09/26,lunch,chinese food,\ne16056,2014/09/26,dinner,sushi,\ne16064,2014/09/27,breakfast,peanut-butter-jam,\"Andrew, Emily\"\ne16065,2014/09/27,lunch,indian food,\ne16066,2014/09/27,dinner,indian food,\"Olivia, Hazel, Claire, Nora, Rylee\"\ne16072,2014/09/28,breakfast,toast and cheese,\ne16073,2014/09/28,lunch,chinese food,\ne16074,2014/09/28,dinner,steak,\ne16081,2014/09/29,breakfast,\"eggs, sausages, and bread\",\"Jackson, Avery, Benjamin, Willow\"\ne16082,2014/09/29,lunch,tacos,\ne16083,2014/09/29,dinner,fish and chips,\"Kayden, Carter\"\ne16090,2014/09/30,breakfast,\"eggs, sausages, and bread\",\ne16091,2014/09/30,lunch,tacos,Willow\ne16092,2014/09/30,dinner,a burger,\"Emily, Kayden, Carter\"\ne16099,2014/10/01,breakfast,cereals,\"Benjamin, Willow\"\ne16100,2014/10/01,lunch,sushi,\ne16101,2014/10/01,dinner,chinese food,\ne16107,2014/10/02,breakfast,toast and cheese,Olivia\ne16108,2014/10/02,lunch,steak,\"Piper, Lydia, Nevaeh, Olivia, Kinsley, Nora, Claire, Avery, Layla, Piper, Eva, Rylee\"\ne16109,2014/10/02,dinner,steak,\ne16116,2014/10/03,breakfast,pancakes,\"Avery, Hazel, Piper\"\ne16117,2014/10/03,lunch,a burger,\ne16118,2014/10/03,dinner,fish and chips,\ne16125,2014/10/04,breakfast,oatmeal,\"Kayden, Andrew, Carter\"\ne16126,2014/10/04,lunch,pasta,\ne16127,2014/10/04,dinner,sushi,\ne16132,2014/10/05,breakfast,pancakes,\ne16133,2014/10/05,lunch,fish and chips,\"Kayden, Carter, Andrew, Emily\"\ne16134,2014/10/05,dinner,chinese food,\ne16142,2014/10/06,breakfast,\"eggs, sausages, and bread\",\ne16143,2014/10/06,lunch,steak,\ne16144,2014/10/06,dinner,steak,\ne16151,2014/10/07,breakfast,cereals,\ne16152,2014/10/07,lunch,sandwich,\ne16153,2014/10/07,dinner,a burger,\"Kinsley, Piper, Avery, Lydia, Eva, Olivia, Hazel, Claire, Rylee\"\ne16159,2014/10/08,breakfast,toast and cheese,\"Andrew, Carter\"\ne16160,2014/10/08,lunch,steak,\"Layla, Claire, Piper, Lydia\"\ne16161,2014/10/08,dinner,chinese food,\"Willow, Jackson\"\ne16168,2014/10/09,breakfast,peanut-butter-jam,Kayden\ne16169,2014/10/09,lunch,fish and chips,\ne16170,2014/10/09,dinner,fish and chips,\"Kayden, Carter\"\ne16176,2014/10/10,breakfast,pancakes,\ne16177,2014/10/10,lunch,sandwich,\"Hazel, Eva, Nora, Piper, Piper, Kinsley, Layla, Avery, Olivia, Rylee, Lydia, Claire\"\ne16178,2014/10/10,dinner,sushi,\"Carter, Kayden, Andrew\"\ne16184,2014/10/11,breakfast,cereals,\ne16185,2014/10/11,lunch,sushi,\ne16186,2014/10/11,dinner,pasta,\ne16192,2014/10/12,breakfast,\"eggs, sausages, and bread\",\"Avery, Olivia, Layla, Rylee, Claire\"\ne16193,2014/10/12,lunch,pasta,\ne16194,2014/10/12,dinner,sushi,\"Piper, Rylee\"\ne16200,2014/10/13,breakfast,pancakes,\ne16201,2014/10/13,lunch,sushi,\ne16202,2014/10/13,dinner,a burger,\ne16208,2014/10/14,breakfast,toast and cheese,\ne16209,2014/10/14,lunch,a burger,\"Kinsley, Eva, Nevaeh, Hazel, Piper, Avery, Olivia\"\ne16210,2014/10/14,dinner,sushi,\"Emily, Carter\"\ne16217,2014/10/15,breakfast,peanut-butter-jam,\ne16218,2014/10/15,lunch,indian food,\ne16219,2014/10/15,dinner,sandwich,\"Benjamin, Jackson, Avery\"\ne16224,2014/10/16,breakfast,pancakes,\ne16225,2014/10/16,lunch,pasta,\ne16226,2014/10/16,dinner,indian food,\ne16233,2014/10/17,breakfast,toast and cheese,\"Kayden, Andrew, Carter, Emily\"\ne16234,2014/10/17,lunch,indian food,Kinsley\ne16235,2014/10/17,dinner,indian food,\ne16242,2014/10/18,breakfast,toast and cheese,\ne16243,2014/10/18,lunch,sushi,\ne16244,2014/10/18,dinner,steak,\"Nevaeh, Rylee, Kinsley, Nora, Layla, Lydia\"\ne16251,2014/10/19,breakfast,pancakes,\ne16252,2014/10/19,lunch,sushi,\"Andrew, Kayden, Emily\"\ne16253,2014/10/19,dinner,sushi,\ne16260,2014/10/20,breakfast,oatmeal,\ne16261,2014/10/20,lunch,steak,\ne16262,2014/10/20,dinner,tacos,\ne16269,2014/10/21,breakfast,\"eggs, sausages, and bread\",\"Piper, Olivia, Claire, Nevaeh, Hazel\"\ne16270,2014/10/21,lunch,steak,\ne16271,2014/10/21,dinner,fish and chips,\ne16278,2014/10/22,breakfast,\"eggs, sausages, and bread\",\ne16279,2014/10/22,lunch,fish and chips,\ne16280,2014/10/22,dinner,a burger,\ne16286,2014/10/23,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew, Emily, Kayden\"\ne16287,2014/10/23,lunch,fish and chips,\ne16288,2014/10/23,dinner,fish and chips,\"Emily, Andrew, Carter\"\ne16295,2014/10/24,breakfast,cereals,\ne16296,2014/10/24,lunch,indian food,\"Emily, Kayden, Andrew\"\ne16297,2014/10/24,dinner,indian food,\ne16304,2014/10/25,breakfast,peanut-butter-jam,\"Olivia, Piper, Kinsley, Nora, Eva, Avery, Claire, Rylee, Piper, Layla, Lydia, Nevaeh\"\ne16305,2014/10/25,lunch,sandwich,\ne16306,2014/10/25,dinner,fish and chips,\ne16313,2014/10/26,breakfast,pancakes,Kayden\ne16314,2014/10/26,lunch,steak,\ne16315,2014/10/26,dinner,indian food,\"Carter, Andrew\"\ne16321,2014/10/27,breakfast,peanut-butter-jam,\"Jackson, Benjamin\"\ne16322,2014/10/27,lunch,chinese food,\ne16323,2014/10/27,dinner,a burger,\"Nora, Kinsley, Lydia, Eva, Layla, Piper, Hazel\"\ne16330,2014/10/28,breakfast,pancakes,\ne16331,2014/10/28,lunch,chinese food,\ne16332,2014/10/28,dinner,fish and chips,\"Emily, Andrew\"\ne16340,2014/10/29,breakfast,\"eggs, sausages, and bread\",\ne16341,2014/10/29,lunch,fish and chips,\"Carter, Kayden\"\ne16342,2014/10/29,dinner,fish and chips,\ne16347,2014/10/30,breakfast,\"eggs, sausages, and bread\",\ne16348,2014/10/30,lunch,tacos,\"Avery, Lydia, Eva, Piper, Olivia, Hazel, Rylee\"\ne16349,2014/10/30,dinner,sandwich,\ne16355,2014/10/31,breakfast,oatmeal,\ne16356,2014/10/31,lunch,sushi,\ne16357,2014/10/31,dinner,indian food,\"Jackson, Willow\"\ne16365,2014/11/01,breakfast,pancakes,\"Kayden, Andrew\"\ne16366,2014/11/01,lunch,fish and chips,\ne16367,2014/11/01,dinner,indian food,\ne16374,2014/11/02,breakfast,oatmeal,\ne16375,2014/11/02,lunch,fish and chips,\"Avery, Willow, Jackson\"\ne16376,2014/11/02,dinner,steak,\"Rylee, Lydia, Nora, Kinsley, Layla\"\ne16382,2014/11/03,breakfast,cereals,\ne16383,2014/11/03,lunch,fish and chips,\ne16384,2014/11/03,dinner,a burger,\ne16391,2014/11/04,breakfast,toast and cheese,\ne16392,2014/11/04,lunch,sushi,\ne16393,2014/11/04,dinner,pasta,\ne16401,2014/11/05,breakfast,cereals,\ne16402,2014/11/05,lunch,sandwich,\ne16403,2014/11/05,dinner,tacos,\"Rylee, Kinsley, Layla, Avery, Nevaeh, Nora, Olivia\"\ne16410,2014/11/06,breakfast,oatmeal,\"Avery, Kinsley, Layla, Rylee, Lydia, Piper, Olivia\"\ne16411,2014/11/06,lunch,chinese food,\"Emily, Carter\"\ne16412,2014/11/06,dinner,sandwich,\"Andrew, Emily, Kayden\"\ne16418,2014/11/07,breakfast,peanut-butter-jam,\"Claire, Eva, Nevaeh, Layla, Nora, Rylee, Olivia\"\ne16419,2014/11/07,lunch,pasta,\ne16420,2014/11/07,dinner,pasta,\ne16426,2014/11/08,breakfast,oatmeal,\"Rylee, Layla, Kinsley, Piper, Claire, Hazel, Nevaeh, Nora, Avery, Piper, Eva\"\ne16427,2014/11/08,lunch,a burger,\ne16428,2014/11/08,dinner,tacos,\"Rylee, Eva, Lydia, Nevaeh, Nora, Layla, Kinsley, Claire, Piper, Piper\"\ne16434,2014/11/09,breakfast,oatmeal,Andrew\ne16435,2014/11/09,lunch,chinese food,\ne16436,2014/11/09,dinner,sushi,\ne16444,2014/11/10,breakfast,toast and cheese,\"Piper, Hazel, Avery, Olivia, Claire\"\ne16445,2014/11/10,lunch,sushi,\ne16446,2014/11/10,dinner,tacos,\ne16454,2014/11/11,breakfast,pancakes,\ne16455,2014/11/11,lunch,a burger,\"Kinsley, Rylee, Lydia, Layla\"\ne16456,2014/11/11,dinner,a burger,\"Emily, Carter\"\ne16463,2014/11/12,breakfast,pancakes,\"Benjamin, Willow, Avery, Jackson\"\ne16464,2014/11/12,lunch,steak,\ne16465,2014/11/12,dinner,indian food,\"Rylee, Piper\"\ne16471,2014/11/13,breakfast,oatmeal,\"Piper, Olivia, Nevaeh, Nora, Piper, Eva, Kinsley, Claire\"\ne16472,2014/11/13,lunch,sandwich,\ne16473,2014/11/13,dinner,tacos,Andrew\ne16479,2014/11/14,breakfast,peanut-butter-jam,\"Carter, Andrew\"\ne16480,2014/11/14,lunch,chinese food,\ne16481,2014/11/14,dinner,fish and chips,Emily\ne16488,2014/11/15,breakfast,peanut-butter-jam,\ne16489,2014/11/15,lunch,sushi,\"Benjamin, Avery, Willow, Jackson\"\ne16490,2014/11/15,dinner,a burger,\ne16497,2014/11/16,breakfast,oatmeal,\ne16498,2014/11/16,lunch,fish and chips,\ne16499,2014/11/16,dinner,tacos,\ne16506,2014/11/17,breakfast,\"eggs, sausages, and bread\",\ne16507,2014/11/17,lunch,pasta,Jackson\ne16508,2014/11/17,dinner,indian food,\"Kinsley, Layla, Nevaeh, Piper, Claire, Nora, Lydia\"\ne16514,2014/11/18,breakfast,toast and cheese,\ne16515,2014/11/18,lunch,sushi,\"Willow, Benjamin, Jackson\"\ne16516,2014/11/18,dinner,steak,\ne16522,2014/11/19,breakfast,cereals,\ne16523,2014/11/19,lunch,pasta,\ne16524,2014/11/19,dinner,sandwich,\ne16528,2014/11/20,breakfast,cereals,\"Piper, Rylee, Avery, Nora\"\ne16529,2014/11/20,lunch,a burger,\"Willow, Avery\"\ne16530,2014/11/20,dinner,indian food,Benjamin\ne16537,2014/11/21,breakfast,cereals,\ne16538,2014/11/21,lunch,indian food,\ne16539,2014/11/21,dinner,fish and chips,\ne16545,2014/11/22,breakfast,\"eggs, sausages, and bread\",\"Andrew, Emily\"\ne16546,2014/11/22,lunch,indian food,\"Kayden, Emily, Carter, Andrew\"\ne16547,2014/11/22,dinner,tacos,\"Carter, Emily, Kayden\"\ne16553,2014/11/23,breakfast,cereals,\ne16554,2014/11/23,lunch,a burger,\"Layla, Eva, Kinsley, Nevaeh, Avery, Olivia, Rylee, Piper, Piper, Nora, Lydia\"\ne16555,2014/11/23,dinner,chinese food,\ne16561,2014/11/24,breakfast,toast and cheese,Kayden\ne16562,2014/11/24,lunch,sushi,\ne16563,2014/11/24,dinner,a burger,\"Kinsley, Olivia, Nevaeh, Hazel, Layla, Piper, Piper, Rylee, Nora, Eva, Lydia, Avery\"\ne16570,2014/11/25,breakfast,\"eggs, sausages, and bread\",\ne16571,2014/11/25,lunch,chinese food,\"Avery, Lydia, Piper, Kinsley, Nora, Rylee, Hazel, Claire\"\ne16572,2014/11/25,dinner,steak,\ne16580,2014/11/26,breakfast,\"eggs, sausages, and bread\",\ne16581,2014/11/26,lunch,indian food,\ne16582,2014/11/26,dinner,indian food,\"Emily, Carter, Kayden\"\ne16588,2014/11/27,breakfast,oatmeal,\"Nevaeh, Kinsley\"\ne16589,2014/11/27,lunch,chinese food,\ne16590,2014/11/27,dinner,sushi,\ne16597,2014/11/28,breakfast,cereals,\"Emily, Kayden, Carter\"\ne16598,2014/11/28,lunch,a burger,\ne16599,2014/11/28,dinner,sushi,\ne16606,2014/11/29,breakfast,oatmeal,\"Benjamin, Willow, Jackson\"\ne16607,2014/11/29,lunch,pasta,\"Rylee, Nevaeh, Lydia, Eva, Olivia, Claire, Piper, Piper\"\ne16608,2014/11/29,dinner,pasta,\ne16614,2014/11/30,breakfast,peanut-butter-jam,\ne16615,2014/11/30,lunch,sandwich,\ne16616,2014/11/30,dinner,sushi,\ne16623,2014/12/01,breakfast,oatmeal,\ne16624,2014/12/01,lunch,a burger,\"Jackson, Avery\"\ne16625,2014/12/01,dinner,sandwich,\ne16632,2014/12/02,breakfast,pancakes,\ne16633,2014/12/02,lunch,a burger,\"Nora, Kinsley\"\ne16634,2014/12/02,dinner,indian food,\"Carter, Andrew, Emily\"\ne16640,2014/12/03,breakfast,\"eggs, sausages, and bread\",\ne16641,2014/12/03,lunch,pasta,\ne16642,2014/12/03,dinner,tacos,\ne16648,2014/12/04,breakfast,toast and cheese,\ne16649,2014/12/04,lunch,fish and chips,\ne16650,2014/12/04,dinner,sandwich,\"Andrew, Kayden\"\ne16658,2014/12/05,breakfast,oatmeal,\"Carter, Kayden, Emily, Andrew\"\ne16659,2014/12/05,lunch,indian food,\"Emily, Kayden, Carter\"\ne16660,2014/12/05,dinner,chinese food,\ne16666,2014/12/06,breakfast,oatmeal,Avery\ne16667,2014/12/06,lunch,fish and chips,\ne16668,2014/12/06,dinner,chinese food,\ne16674,2014/12/07,breakfast,oatmeal,\"Jackson, Benjamin, Willow, Avery\"\ne16675,2014/12/07,lunch,indian food,\"Kayden, Carter, Emily, Andrew\"\ne16676,2014/12/07,dinner,pasta,\"Willow, Avery\"\ne16682,2014/12/08,breakfast,oatmeal,\"Andrew, Kayden\"\ne16683,2014/12/08,lunch,sandwich,\"Olivia, Nevaeh, Kinsley, Piper, Rylee, Hazel, Piper, Claire\"\ne16684,2014/12/08,dinner,pasta,\ne16691,2014/12/09,breakfast,toast and cheese,\ne16692,2014/12/09,lunch,sandwich,\ne16693,2014/12/09,dinner,pasta,\"Layla, Nora, Olivia, Piper, Eva, Hazel, Rylee, Lydia, Piper\"\ne16699,2014/12/10,breakfast,toast and cheese,\"Kayden, Carter, Andrew\"\ne16700,2014/12/10,lunch,fish and chips,Willow\ne16701,2014/12/10,dinner,a burger,\"Andrew, Emily, Carter, Kayden\"\ne16708,2014/12/11,breakfast,oatmeal,\"Avery, Benjamin, Willow, Jackson\"\ne16709,2014/12/11,lunch,pasta,\"Lydia, Eva, Piper, Kinsley, Nora, Nevaeh, Claire, Rylee, Layla, Olivia, Piper, Hazel, Avery\"\ne16710,2014/12/11,dinner,pasta,\ne16718,2014/12/12,breakfast,toast and cheese,\"Emily, Andrew, Carter\"\ne16719,2014/12/12,lunch,sushi,\ne16720,2014/12/12,dinner,a burger,\ne16727,2014/12/13,breakfast,toast and cheese,\ne16728,2014/12/13,lunch,sandwich,\ne16729,2014/12/13,dinner,tacos,\ne16735,2014/12/14,breakfast,\"eggs, sausages, and bread\",\ne16736,2014/12/14,lunch,pasta,\"Nevaeh, Kinsley, Olivia, Layla\"\ne16737,2014/12/14,dinner,sandwich,\ne16744,2014/12/15,breakfast,pancakes,\ne16745,2014/12/15,lunch,fish and chips,\ne16746,2014/12/15,dinner,sushi,\"Carter, Andrew, Kayden, Emily\"\ne16753,2014/12/16,breakfast,oatmeal,\ne16754,2014/12/16,lunch,pasta,\"Kayden, Carter, Andrew\"\ne16755,2014/12/16,dinner,chinese food,\ne16762,2014/12/17,breakfast,peanut-butter-jam,\ne16763,2014/12/17,lunch,pasta,Hazel\ne16764,2014/12/17,dinner,chinese food,\ne16771,2014/12/18,breakfast,cereals,Emily\ne16772,2014/12/18,lunch,fish and chips,\"Andrew, Emily, Carter\"\ne16773,2014/12/18,dinner,a burger,\ne16779,2014/12/19,breakfast,\"eggs, sausages, and bread\",\ne16780,2014/12/19,lunch,indian food,\"Avery, Olivia, Hazel\"\ne16781,2014/12/19,dinner,a burger,\ne16788,2014/12/20,breakfast,\"eggs, sausages, and bread\",\ne16789,2014/12/20,lunch,pasta,\ne16790,2014/12/20,dinner,steak,\ne16798,2014/12/21,breakfast,pancakes,\ne16799,2014/12/21,lunch,tacos,\ne16800,2014/12/21,dinner,sandwich,\"Layla, Olivia, Kinsley, Nora, Claire, Eva, Rylee, Piper, Nevaeh, Avery, Piper, Hazel, Lydia\"\ne16808,2014/12/22,breakfast,oatmeal,\ne16809,2014/12/22,lunch,indian food,\"Carter, Andrew, Emily\"\ne16810,2014/12/22,dinner,indian food,\ne16816,2014/12/23,breakfast,peanut-butter-jam,\"Nevaeh, Piper, Olivia, Layla, Rylee, Kinsley, Eva, Claire\"\ne16817,2014/12/23,lunch,pasta,\ne16818,2014/12/23,dinner,a burger,\ne16823,2014/12/24,breakfast,cereals,\"Kayden, Carter, Andrew\"\ne16824,2014/12/24,lunch,sushi,\ne16825,2014/12/24,dinner,steak,\ne16833,2014/12/25,breakfast,toast and cheese,\"Eva, Piper\"\ne16834,2014/12/25,lunch,indian food,\"Olivia, Claire, Layla, Piper, Nora, Eva, Kinsley, Hazel\"\ne16835,2014/12/25,dinner,indian food,\ne16841,2014/12/26,breakfast,\"eggs, sausages, and bread\",\ne16842,2014/12/26,lunch,sandwich,\ne16843,2014/12/26,dinner,tacos,\ne16850,2014/12/27,breakfast,oatmeal,\"Andrew, Carter, Emily\"\ne16851,2014/12/27,lunch,a burger,\"Carter, Kayden, Emily, Andrew\"\ne16852,2014/12/27,dinner,pasta,\"Avery, Hazel, Eva, Nevaeh, Nora, Piper, Claire, Kinsley, Olivia\"\ne16859,2014/12/28,breakfast,oatmeal,\ne16860,2014/12/28,lunch,sushi,\"Carter, Emily\"\ne16861,2014/12/28,dinner,indian food,\ne16865,2014/12/29,breakfast,pancakes,\ne16866,2014/12/29,lunch,a burger,\ne16867,2014/12/29,dinner,pasta,\ne16874,2014/12/30,breakfast,pancakes,\"Andrew, Kayden\"\ne16875,2014/12/30,lunch,sushi,\ne16876,2014/12/30,dinner,fish and chips,\ne16882,2014/12/31,breakfast,cereals,\ne16883,2014/12/31,lunch,sandwich,\ne16884,2014/12/31,dinner,tacos,\"Carter, Kayden, Emily, Andrew\"\ne17087,2015/01/01,breakfast,cereals,\"Piper, Rylee, Lydia, Olivia, Layla, Claire, Eva, Nora, Hazel, Kinsley, Avery, Nevaeh\"\ne17088,2015/01/01,lunch,pasta,\ne17089,2015/01/01,dinner,steak,\ne17095,2015/01/02,breakfast,pancakes,\ne17096,2015/01/02,lunch,sushi,\"Kayden, Emily, Carter\"\ne17097,2015/01/02,dinner,sushi,\ne17102,2015/01/03,breakfast,peanut-butter-jam,\"Avery, Willow, Benjamin, Jackson\"\ne17103,2015/01/03,lunch,steak,\ne17104,2015/01/03,dinner,fish and chips,Emily\ne17109,2015/01/04,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Avery\"\ne17110,2015/01/04,lunch,tacos,\ne17111,2015/01/04,dinner,pasta,\ne17118,2015/01/05,breakfast,toast and cheese,\ne17119,2015/01/05,lunch,indian food,\"Emily, Andrew, Carter, Kayden\"\ne17120,2015/01/05,dinner,sandwich,\"Emily, Carter, Kayden, Andrew\"\ne17127,2015/01/06,breakfast,oatmeal,\ne17128,2015/01/06,lunch,chinese food,\ne17129,2015/01/06,dinner,tacos,\"Andrew, Emily, Kayden, Carter\"\ne17136,2015/01/07,breakfast,\"eggs, sausages, and bread\",\ne17137,2015/01/07,lunch,a burger,\ne17138,2015/01/07,dinner,sushi,\ne17145,2015/01/08,breakfast,\"eggs, sausages, and bread\",\ne17146,2015/01/08,lunch,tacos,\ne17147,2015/01/08,dinner,tacos,\ne17154,2015/01/09,breakfast,cereals,\"Carter, Emily\"\ne17155,2015/01/09,lunch,sandwich,\ne17156,2015/01/09,dinner,sandwich,\ne17162,2015/01/10,breakfast,\"eggs, sausages, and bread\",\ne17163,2015/01/10,lunch,a burger,\ne17164,2015/01/10,dinner,fish and chips,\ne17171,2015/01/11,breakfast,peanut-butter-jam,\ne17172,2015/01/11,lunch,a burger,\"Avery, Benjamin, Willow, Jackson\"\ne17173,2015/01/11,dinner,indian food,\"Benjamin, Willow, Avery, Jackson\"\ne17178,2015/01/12,breakfast,oatmeal,\ne17179,2015/01/12,lunch,pasta,\ne17180,2015/01/12,dinner,indian food,\"Layla, Lydia, Olivia, Piper, Nora, Piper, Kinsley, Avery, Rylee, Nevaeh, Eva\"\ne17188,2015/01/13,breakfast,cereals,\ne17189,2015/01/13,lunch,a burger,\ne17190,2015/01/13,dinner,fish and chips,\"Nevaeh, Piper, Hazel, Layla\"\ne17197,2015/01/14,breakfast,pancakes,\ne17198,2015/01/14,lunch,pasta,\ne17199,2015/01/14,dinner,fish and chips,\ne17205,2015/01/15,breakfast,\"eggs, sausages, and bread\",\ne17206,2015/01/15,lunch,a burger,\ne17207,2015/01/15,dinner,chinese food,\"Carter, Kayden\"\ne17212,2015/01/16,breakfast,toast and cheese,\ne17213,2015/01/16,lunch,sushi,\ne17214,2015/01/16,dinner,pasta,\"Jackson, Avery, Benjamin\"\ne17220,2015/01/17,breakfast,peanut-butter-jam,\ne17221,2015/01/17,lunch,pasta,\"Carter, Kayden\"\ne17222,2015/01/17,dinner,steak,\"Emily, Andrew, Kayden\"\ne17228,2015/01/18,breakfast,toast and cheese,\ne17229,2015/01/18,lunch,pasta,Rylee\ne17230,2015/01/18,dinner,a burger,\ne17236,2015/01/19,breakfast,peanut-butter-jam,\ne17237,2015/01/19,lunch,fish and chips,\"Andrew, Emily\"\ne17238,2015/01/19,dinner,pasta,Willow\ne17244,2015/01/20,breakfast,pancakes,\"Emily, Kayden, Andrew\"\ne17245,2015/01/20,lunch,steak,\ne17246,2015/01/20,dinner,tacos,\ne17252,2015/01/21,breakfast,toast and cheese,\ne17253,2015/01/21,lunch,a burger,\"Andrew, Kayden, Carter\"\ne17254,2015/01/21,dinner,sushi,Andrew\ne17259,2015/01/22,breakfast,\"eggs, sausages, and bread\",\ne17260,2015/01/22,lunch,indian food,\ne17261,2015/01/22,dinner,fish and chips,\ne17267,2015/01/23,breakfast,cereals,\ne17268,2015/01/23,lunch,indian food,\ne17269,2015/01/23,dinner,sandwich,\ne17274,2015/01/24,breakfast,oatmeal,Emily\ne17275,2015/01/24,lunch,sushi,\ne17276,2015/01/24,dinner,steak,\ne17282,2015/01/25,breakfast,\"eggs, sausages, and bread\",\ne17283,2015/01/25,lunch,indian food,\"Hazel, Piper, Layla, Nevaeh, Lydia, Olivia, Nora, Kinsley, Claire, Rylee, Avery, Piper, Eva\"\ne17284,2015/01/25,dinner,steak,\ne17291,2015/01/26,breakfast,pancakes,\"Kayden, Emily, Carter\"\ne17292,2015/01/26,lunch,indian food,\ne17293,2015/01/26,dinner,sushi,\"Rylee, Avery, Piper, Eva, Piper, Nora\"\ne17300,2015/01/27,breakfast,pancakes,\"Olivia, Claire, Kinsley, Rylee, Layla, Eva, Nevaeh, Piper, Avery, Hazel\"\ne17301,2015/01/27,lunch,sushi,\ne17302,2015/01/27,dinner,steak,\ne17308,2015/01/28,breakfast,toast and cheese,\ne17309,2015/01/28,lunch,sushi,\"Hazel, Rylee, Layla, Kinsley, Nevaeh, Piper, Lydia, Avery, Piper\"\ne17310,2015/01/28,dinner,chinese food,\"Kayden, Andrew, Emily, Carter\"\ne17317,2015/01/29,breakfast,toast and cheese,\ne17318,2015/01/29,lunch,chinese food,\ne17319,2015/01/29,dinner,pasta,\ne17325,2015/01/30,breakfast,pancakes,\ne17326,2015/01/30,lunch,pasta,\ne17327,2015/01/30,dinner,fish and chips,Andrew\ne17334,2015/01/31,breakfast,cereals,\ne17335,2015/01/31,lunch,tacos,\"Willow, Avery\"\ne17336,2015/01/31,dinner,steak,\ne17344,2015/02/01,breakfast,toast and cheese,\ne17345,2015/02/01,lunch,fish and chips,\"Andrew, Emily, Carter, Kayden\"\ne17346,2015/02/01,dinner,pasta,\"Kinsley, Lydia, Rylee, Piper, Hazel, Eva, Nevaeh, Layla, Claire, Olivia\"\ne17353,2015/02/02,breakfast,pancakes,\ne17354,2015/02/02,lunch,a burger,\ne17355,2015/02/02,dinner,tacos,\ne17362,2015/02/03,breakfast,oatmeal,\"Emily, Kayden, Carter\"\ne17363,2015/02/03,lunch,indian food,\ne17364,2015/02/03,dinner,chinese food,\"Carter, Andrew, Emily, Kayden\"\ne17369,2015/02/04,breakfast,pancakes,\"Avery, Benjamin, Jackson\"\ne17370,2015/02/04,lunch,pasta,\"Emily, Carter, Kayden\"\ne17371,2015/02/04,dinner,tacos,\"Hazel, Nevaeh, Piper, Piper\"\ne17379,2015/02/05,breakfast,\"eggs, sausages, and bread\",\ne17380,2015/02/05,lunch,a burger,\ne17381,2015/02/05,dinner,fish and chips,\"Olivia, Eva, Nora, Layla, Piper, Piper, Claire, Nevaeh, Hazel\"\ne17387,2015/02/06,breakfast,toast and cheese,\ne17388,2015/02/06,lunch,sandwich,\ne17389,2015/02/06,dinner,sandwich,\"Andrew, Kayden, Emily\"\ne17396,2015/02/07,breakfast,peanut-butter-jam,\ne17397,2015/02/07,lunch,indian food,\ne17398,2015/02/07,dinner,indian food,\ne17405,2015/02/08,breakfast,\"eggs, sausages, and bread\",\"Piper, Nevaeh, Olivia, Hazel, Rylee, Claire\"\ne17406,2015/02/08,lunch,pasta,\"Andrew, Emily, Kayden, Carter\"\ne17407,2015/02/08,dinner,sushi,\ne17413,2015/02/09,breakfast,\"eggs, sausages, and bread\",\ne17414,2015/02/09,lunch,sushi,\ne17415,2015/02/09,dinner,indian food,\"Andrew, Emily, Kayden, Carter\"\ne17423,2015/02/10,breakfast,toast and cheese,\ne17424,2015/02/10,lunch,chinese food,\ne17425,2015/02/10,dinner,pasta,\"Hazel, Piper, Nora, Rylee, Olivia\"\ne17431,2015/02/11,breakfast,pancakes,\ne17432,2015/02/11,lunch,sandwich,\ne17433,2015/02/11,dinner,fish and chips,\"Olivia, Rylee\"\ne17440,2015/02/12,breakfast,toast and cheese,\ne17441,2015/02/12,lunch,fish and chips,\ne17442,2015/02/12,dinner,tacos,\ne17447,2015/02/13,breakfast,peanut-butter-jam,\ne17448,2015/02/13,lunch,steak,Willow\ne17449,2015/02/13,dinner,sushi,Andrew\ne17456,2015/02/14,breakfast,pancakes,\ne17457,2015/02/14,lunch,chinese food,\ne17458,2015/02/14,dinner,steak,Andrew\ne17465,2015/02/15,breakfast,peanut-butter-jam,Carter\ne17466,2015/02/15,lunch,fish and chips,\ne17467,2015/02/15,dinner,a burger,\"Claire, Rylee, Piper, Eva, Kinsley, Nevaeh\"\ne17472,2015/02/16,breakfast,oatmeal,\"Eva, Claire, Lydia, Layla, Hazel, Piper, Nora, Avery, Piper\"\ne17473,2015/02/16,lunch,tacos,\ne17474,2015/02/16,dinner,tacos,\ne17481,2015/02/17,breakfast,toast and cheese,\"Willow, Avery, Jackson, Benjamin\"\ne17482,2015/02/17,lunch,fish and chips,\"Avery, Jackson, Benjamin\"\ne17483,2015/02/17,dinner,sandwich,\ne17489,2015/02/18,breakfast,pancakes,\ne17490,2015/02/18,lunch,chinese food,\"Avery, Willow\"\ne17491,2015/02/18,dinner,tacos,\ne17497,2015/02/19,breakfast,toast and cheese,\ne17498,2015/02/19,lunch,indian food,\ne17499,2015/02/19,dinner,tacos,\ne17506,2015/02/20,breakfast,cereals,\ne17507,2015/02/20,lunch,steak,\"Emily, Andrew, Kayden, Carter\"\ne17508,2015/02/20,dinner,pasta,\ne17516,2015/02/21,breakfast,peanut-butter-jam,Kayden\ne17517,2015/02/21,lunch,chinese food,\"Nora, Eva, Layla, Nevaeh, Piper, Hazel, Piper, Lydia, Olivia, Rylee, Avery\"\ne17518,2015/02/21,dinner,sushi,\ne17525,2015/02/22,breakfast,oatmeal,\"Claire, Olivia, Layla, Piper, Avery, Hazel, Nevaeh, Piper, Lydia, Kinsley, Nora, Eva, Rylee\"\ne17526,2015/02/22,lunch,steak,\ne17527,2015/02/22,dinner,pasta,\"Nevaeh, Lydia, Hazel, Eva, Kinsley, Nora, Rylee, Piper, Piper, Layla, Claire, Olivia\"\ne17534,2015/02/23,breakfast,\"eggs, sausages, and bread\",\"Avery, Willow, Benjamin, Jackson\"\ne17535,2015/02/23,lunch,sushi,\"Emily, Carter, Kayden, Andrew\"\ne17536,2015/02/23,dinner,fish and chips,\ne17542,2015/02/24,breakfast,oatmeal,\ne17543,2015/02/24,lunch,sandwich,\"Jackson, Willow, Benjamin, Avery\"\ne17544,2015/02/24,dinner,chinese food,Emily\ne17551,2015/02/25,breakfast,cereals,Avery\ne17552,2015/02/25,lunch,pasta,\"Carter, Andrew\"\ne17553,2015/02/25,dinner,chinese food,\ne17560,2015/02/26,breakfast,oatmeal,\ne17561,2015/02/26,lunch,sandwich,\ne17562,2015/02/26,dinner,steak,\"Emily, Carter\"\ne17570,2015/02/27,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew\"\ne17571,2015/02/27,lunch,steak,\ne17572,2015/02/27,dinner,fish and chips,\ne17579,2015/02/28,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew\"\ne17580,2015/02/28,lunch,steak,\ne17581,2015/02/28,dinner,indian food,\"Kayden, Carter, Andrew\"\ne17588,2015/03/01,breakfast,peanut-butter-jam,\"Layla, Piper, Hazel, Claire, Piper, Kinsley, Nevaeh, Eva, Rylee, Olivia, Lydia, Nora\"\ne17589,2015/03/01,lunch,steak,\ne17590,2015/03/01,dinner,sandwich,\ne17598,2015/03/02,breakfast,toast and cheese,Kayden\ne17599,2015/03/02,lunch,indian food,\ne17600,2015/03/02,dinner,tacos,\ne17606,2015/03/03,breakfast,oatmeal,\ne17607,2015/03/03,lunch,steak,\"Willow, Benjamin, Jackson\"\ne17608,2015/03/03,dinner,sushi,\"Emily, Carter, Andrew, Kayden\"\ne17615,2015/03/04,breakfast,\"eggs, sausages, and bread\",\ne17616,2015/03/04,lunch,fish and chips,\"Kayden, Emily, Carter, Andrew\"\ne17617,2015/03/04,dinner,chinese food,\ne17624,2015/03/05,breakfast,peanut-butter-jam,\"Kinsley, Layla, Piper, Lydia, Rylee, Eva\"\ne17625,2015/03/05,lunch,a burger,\ne17626,2015/03/05,dinner,sandwich,\ne17633,2015/03/06,breakfast,peanut-butter-jam,\ne17634,2015/03/06,lunch,indian food,\ne17635,2015/03/06,dinner,pasta,\ne17641,2015/03/07,breakfast,toast and cheese,\ne17642,2015/03/07,lunch,steak,\"Nevaeh, Piper, Layla, Olivia, Piper\"\ne17643,2015/03/07,dinner,sandwich,\ne17650,2015/03/08,breakfast,oatmeal,\ne17651,2015/03/08,lunch,a burger,\ne17652,2015/03/08,dinner,chinese food,\"Emily, Andrew, Kayden\"\ne17659,2015/03/09,breakfast,oatmeal,\ne17660,2015/03/09,lunch,indian food,\ne17661,2015/03/09,dinner,chinese food,Avery\ne17668,2015/03/10,breakfast,cereals,\"Kayden, Carter\"\ne17669,2015/03/10,lunch,sandwich,\"Andrew, Carter, Emily, Kayden\"\ne17670,2015/03/10,dinner,pasta,\ne17677,2015/03/11,breakfast,\"eggs, sausages, and bread\",\ne17678,2015/03/11,lunch,chinese food,\"Andrew, Kayden\"\ne17679,2015/03/11,dinner,chinese food,\"Andrew, Carter, Emily\"\ne17685,2015/03/12,breakfast,oatmeal,\ne17686,2015/03/12,lunch,chinese food,\"Carter, Andrew\"\ne17687,2015/03/12,dinner,indian food,\ne17694,2015/03/13,breakfast,peanut-butter-jam,\ne17695,2015/03/13,lunch,steak,Hazel\ne17696,2015/03/13,dinner,a burger,\"Avery, Jackson, Willow\"\ne17703,2015/03/14,breakfast,peanut-butter-jam,\"Benjamin, Willow\"\ne17704,2015/03/14,lunch,a burger,\"Willow, Benjamin\"\ne17705,2015/03/14,dinner,fish and chips,\"Avery, Nevaeh, Lydia, Claire, Piper, Nora, Kinsley, Rylee\"\ne17712,2015/03/15,breakfast,peanut-butter-jam,\"Emily, Andrew, Kayden\"\ne17713,2015/03/15,lunch,sushi,\ne17714,2015/03/15,dinner,pasta,\ne17719,2015/03/16,breakfast,pancakes,\"Kayden, Emily, Carter\"\ne17720,2015/03/16,lunch,pasta,\ne17721,2015/03/16,dinner,chinese food,\ne17729,2015/03/17,breakfast,\"eggs, sausages, and bread\",\"Kinsley, Eva, Hazel, Layla\"\ne17730,2015/03/17,lunch,steak,\ne17731,2015/03/17,dinner,indian food,\ne17739,2015/03/18,breakfast,toast and cheese,\"Emily, Carter\"\ne17740,2015/03/18,lunch,chinese food,\ne17741,2015/03/18,dinner,sushi,\ne17747,2015/03/19,breakfast,cereals,\ne17748,2015/03/19,lunch,steak,\ne17749,2015/03/19,dinner,pasta,\ne17756,2015/03/20,breakfast,oatmeal,\ne17757,2015/03/20,lunch,chinese food,\ne17758,2015/03/20,dinner,tacos,\ne17765,2015/03/21,breakfast,toast and cheese,\ne17766,2015/03/21,lunch,steak,\"Benjamin, Avery, Willow\"\ne17767,2015/03/21,dinner,steak,\ne17775,2015/03/22,breakfast,oatmeal,\"Kayden, Emily, Andrew, Carter\"\ne17776,2015/03/22,lunch,fish and chips,\ne17777,2015/03/22,dinner,pasta,\"Nora, Rylee, Avery, Layla, Lydia, Piper, Olivia, Kinsley, Claire\"\ne17785,2015/03/23,breakfast,peanut-butter-jam,\ne17786,2015/03/23,lunch,pasta,\"Piper, Hazel, Layla, Avery, Lydia, Piper\"\ne17787,2015/03/23,dinner,fish and chips,\ne17794,2015/03/24,breakfast,oatmeal,\"Layla, Lydia\"\ne17795,2015/03/24,lunch,tacos,\ne17796,2015/03/24,dinner,fish and chips,\ne17804,2015/03/25,breakfast,pancakes,\ne17805,2015/03/25,lunch,pasta,\ne17806,2015/03/25,dinner,indian food,\ne17812,2015/03/26,breakfast,\"eggs, sausages, and bread\",Kayden\ne17813,2015/03/26,lunch,steak,\ne17814,2015/03/26,dinner,fish and chips,\ne17819,2015/03/27,breakfast,toast and cheese,Benjamin\ne17820,2015/03/27,lunch,fish and chips,\ne17821,2015/03/27,dinner,sandwich,\ne17828,2015/03/28,breakfast,peanut-butter-jam,\ne17829,2015/03/28,lunch,tacos,\ne17830,2015/03/28,dinner,sushi,\ne17837,2015/03/29,breakfast,pancakes,\ne17838,2015/03/29,lunch,indian food,\ne17839,2015/03/29,dinner,steak,\"Kayden, Andrew\"\ne17844,2015/03/30,breakfast,toast and cheese,\"Carter, Emily\"\ne17845,2015/03/30,lunch,chinese food,\"Andrew, Emily\"\ne17846,2015/03/30,dinner,tacos,\ne17851,2015/03/31,breakfast,pancakes,\ne17852,2015/03/31,lunch,chinese food,\ne17853,2015/03/31,dinner,indian food,\ne17860,2015/04/01,breakfast,pancakes,\ne17861,2015/04/01,lunch,fish and chips,\ne17862,2015/04/01,dinner,steak,\ne17868,2015/04/02,breakfast,peanut-butter-jam,\"Nora, Kinsley, Avery, Olivia, Nevaeh\"\ne17869,2015/04/02,lunch,indian food,\"Willow, Jackson, Avery, Benjamin\"\ne17870,2015/04/02,dinner,chinese food,\"Lydia, Piper, Nora, Kinsley, Olivia, Claire, Nevaeh\"\ne17877,2015/04/03,breakfast,oatmeal,\ne17878,2015/04/03,lunch,pasta,\ne17879,2015/04/03,dinner,indian food,\ne17885,2015/04/04,breakfast,cereals,\"Benjamin, Willow\"\ne17886,2015/04/04,lunch,sandwich,Emily\ne17887,2015/04/04,dinner,indian food,\ne17893,2015/04/05,breakfast,oatmeal,\ne17894,2015/04/05,lunch,sushi,\ne17895,2015/04/05,dinner,steak,\ne17902,2015/04/06,breakfast,peanut-butter-jam,\ne17903,2015/04/06,lunch,tacos,\ne17904,2015/04/06,dinner,steak,\ne17910,2015/04/07,breakfast,peanut-butter-jam,\ne17911,2015/04/07,lunch,chinese food,\"Emily, Andrew\"\ne17912,2015/04/07,dinner,steak,\ne17919,2015/04/08,breakfast,peanut-butter-jam,\ne17920,2015/04/08,lunch,fish and chips,\ne17921,2015/04/08,dinner,a burger,\ne17928,2015/04/09,breakfast,\"eggs, sausages, and bread\",\ne17929,2015/04/09,lunch,sandwich,\"Emily, Andrew\"\ne17930,2015/04/09,dinner,fish and chips,\ne17937,2015/04/10,breakfast,\"eggs, sausages, and bread\",\ne17938,2015/04/10,lunch,pasta,\ne17939,2015/04/10,dinner,indian food,\ne17946,2015/04/11,breakfast,oatmeal,\ne17947,2015/04/11,lunch,pasta,\"Kayden, Emily\"\ne17948,2015/04/11,dinner,sandwich,\ne17955,2015/04/12,breakfast,oatmeal,\ne17956,2015/04/12,lunch,steak,\"Kinsley, Claire, Rylee, Eva, Avery, Olivia, Nevaeh, Piper, Piper\"\ne17957,2015/04/12,dinner,steak,\ne17963,2015/04/13,breakfast,peanut-butter-jam,\ne17964,2015/04/13,lunch,steak,\ne17965,2015/04/13,dinner,tacos,\ne17972,2015/04/14,breakfast,\"eggs, sausages, and bread\",\"Avery, Piper, Nora, Rylee, Eva, Piper, Olivia, Claire, Lydia, Kinsley, Layla, Hazel\"\ne17973,2015/04/14,lunch,fish and chips,\ne17974,2015/04/14,dinner,pasta,\ne17981,2015/04/15,breakfast,pancakes,\"Carter, Emily, Andrew\"\ne17982,2015/04/15,lunch,steak,\ne17983,2015/04/15,dinner,tacos,\ne17989,2015/04/16,breakfast,pancakes,\ne17990,2015/04/16,lunch,pasta,\ne17991,2015/04/16,dinner,sandwich,\"Piper, Eva, Claire, Olivia, Nevaeh, Piper, Nora\"\ne17997,2015/04/17,breakfast,pancakes,\"Rylee, Piper, Nevaeh, Kinsley, Nora, Layla, Claire\"\ne17998,2015/04/17,lunch,tacos,\"Emily, Kayden, Andrew\"\ne17999,2015/04/17,dinner,indian food,\ne18007,2015/04/18,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Jackson, Avery\"\ne18008,2015/04/18,lunch,fish and chips,\ne18009,2015/04/18,dinner,pasta,\ne18017,2015/04/19,breakfast,toast and cheese,\ne18018,2015/04/19,lunch,indian food,Avery\ne18019,2015/04/19,dinner,sushi,\ne18025,2015/04/20,breakfast,peanut-butter-jam,\"Andrew, Emily, Kayden, Carter\"\ne18026,2015/04/20,lunch,pasta,Andrew\ne18027,2015/04/20,dinner,a burger,\"Andrew, Kayden, Carter\"\ne18034,2015/04/21,breakfast,\"eggs, sausages, and bread\",\ne18035,2015/04/21,lunch,steak,\ne18036,2015/04/21,dinner,sandwich,\ne18041,2015/04/22,breakfast,pancakes,\"Kayden, Andrew, Carter, Emily\"\ne18042,2015/04/22,lunch,pasta,\ne18043,2015/04/22,dinner,chinese food,\"Eva, Claire, Olivia, Layla, Piper, Kinsley, Nevaeh, Piper, Lydia, Hazel, Avery, Rylee, Nora\"\ne18049,2015/04/23,breakfast,peanut-butter-jam,\"Benjamin, Willow, Jackson\"\ne18050,2015/04/23,lunch,sandwich,\ne18051,2015/04/23,dinner,tacos,Avery\ne18058,2015/04/24,breakfast,cereals,\ne18059,2015/04/24,lunch,chinese food,\ne18060,2015/04/24,dinner,sandwich,\ne18066,2015/04/25,breakfast,toast and cheese,\ne18067,2015/04/25,lunch,sandwich,\ne18068,2015/04/25,dinner,chinese food,\ne18075,2015/04/26,breakfast,cereals,\ne18076,2015/04/26,lunch,indian food,\"Benjamin, Willow, Jackson, Avery\"\ne18077,2015/04/26,dinner,sandwich,\"Piper, Nora, Piper, Hazel, Nevaeh, Avery, Layla, Rylee, Eva, Lydia, Kinsley, Claire, Olivia\"\ne18083,2015/04/27,breakfast,pancakes,\ne18084,2015/04/27,lunch,a burger,\"Andrew, Kayden, Emily, Carter\"\ne18085,2015/04/27,dinner,fish and chips,\ne18091,2015/04/28,breakfast,pancakes,\"Lydia, Nevaeh, Layla, Hazel, Avery, Kinsley, Claire, Rylee, Piper, Olivia\"\ne18092,2015/04/28,lunch,sushi,\ne18093,2015/04/28,dinner,sandwich,\ne18100,2015/04/29,breakfast,oatmeal,\ne18101,2015/04/29,lunch,chinese food,\ne18102,2015/04/29,dinner,tacos,\ne18109,2015/04/30,breakfast,oatmeal,\ne18110,2015/04/30,lunch,steak,\ne18111,2015/04/30,dinner,sushi,\ne18118,2015/05/01,breakfast,peanut-butter-jam,\"Jackson, Avery, Willow, Benjamin\"\ne18119,2015/05/01,lunch,pasta,\ne18120,2015/05/01,dinner,chinese food,Eva\ne18127,2015/05/02,breakfast,peanut-butter-jam,\ne18128,2015/05/02,lunch,chinese food,\ne18129,2015/05/02,dinner,steak,\ne18136,2015/05/03,breakfast,oatmeal,\"Layla, Nevaeh, Olivia, Eva, Avery, Claire, Piper, Nora, Piper, Lydia, Kinsley\"\ne18137,2015/05/03,lunch,indian food,\ne18138,2015/05/03,dinner,fish and chips,\ne18144,2015/05/04,breakfast,pancakes,\"Avery, Willow, Jackson, Benjamin\"\ne18145,2015/05/04,lunch,sandwich,\ne18146,2015/05/04,dinner,sushi,\ne18152,2015/05/05,breakfast,oatmeal,\ne18153,2015/05/05,lunch,indian food,\"Carter, Kayden, Andrew\"\ne18154,2015/05/05,dinner,tacos,\"Carter, Emily, Andrew, Kayden\"\ne18161,2015/05/06,breakfast,cereals,\ne18162,2015/05/06,lunch,steak,\ne18163,2015/05/06,dinner,chinese food,\ne18170,2015/05/07,breakfast,oatmeal,\ne18171,2015/05/07,lunch,steak,\ne18172,2015/05/07,dinner,a burger,\ne18180,2015/05/08,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew, Emily, Kayden\"\ne18181,2015/05/08,lunch,indian food,\ne18182,2015/05/08,dinner,pasta,\"Layla, Piper, Claire, Hazel, Nora, Olivia, Piper, Eva, Lydia, Rylee, Avery, Kinsley\"\ne18188,2015/05/09,breakfast,\"eggs, sausages, and bread\",\ne18189,2015/05/09,lunch,sandwich,Andrew\ne18190,2015/05/09,dinner,chinese food,\"Hazel, Avery, Layla, Lydia, Nora, Nevaeh, Claire, Rylee, Kinsley, Eva, Piper\"\ne18197,2015/05/10,breakfast,\"eggs, sausages, and bread\",\ne18198,2015/05/10,lunch,chinese food,\ne18199,2015/05/10,dinner,chinese food,\ne18205,2015/05/11,breakfast,pancakes,\ne18206,2015/05/11,lunch,pasta,\"Nora, Avery, Layla, Piper, Hazel, Olivia, Claire, Kinsley, Eva, Rylee\"\ne18207,2015/05/11,dinner,fish and chips,\"Willow, Jackson, Avery\"\ne18214,2015/05/12,breakfast,pancakes,Carter\ne18215,2015/05/12,lunch,steak,\"Piper, Olivia, Nevaeh, Lydia, Rylee, Eva, Layla, Claire, Piper, Kinsley, Hazel, Avery\"\ne18216,2015/05/12,dinner,sushi,\ne18222,2015/05/13,breakfast,\"eggs, sausages, and bread\",Piper\ne18223,2015/05/13,lunch,sushi,\ne18224,2015/05/13,dinner,chinese food,\ne18230,2015/05/14,breakfast,toast and cheese,\"Carter, Kayden\"\ne18231,2015/05/14,lunch,tacos,\ne18232,2015/05/14,dinner,tacos,\ne18239,2015/05/15,breakfast,toast and cheese,\ne18240,2015/05/15,lunch,fish and chips,\"Emily, Andrew, Carter, Kayden\"\ne18241,2015/05/15,dinner,steak,\ne18247,2015/05/16,breakfast,cereals,\ne18248,2015/05/16,lunch,fish and chips,\ne18249,2015/05/16,dinner,pasta,\ne18256,2015/05/17,breakfast,pancakes,Emily\ne18257,2015/05/17,lunch,indian food,\"Andrew, Emily\"\ne18258,2015/05/17,dinner,fish and chips,\ne18264,2015/05/18,breakfast,pancakes,\ne18265,2015/05/18,lunch,tacos,\"Jackson, Benjamin, Willow, Avery\"\ne18266,2015/05/18,dinner,pasta,\ne18272,2015/05/19,breakfast,pancakes,\"Emily, Andrew\"\ne18273,2015/05/19,lunch,sandwich,\ne18274,2015/05/19,dinner,indian food,\ne18282,2015/05/20,breakfast,pancakes,\ne18283,2015/05/20,lunch,indian food,\ne18284,2015/05/20,dinner,chinese food,Carter\ne18291,2015/05/21,breakfast,pancakes,\ne18292,2015/05/21,lunch,chinese food,\ne18293,2015/05/21,dinner,sandwich,\ne18301,2015/05/22,breakfast,pancakes,\ne18302,2015/05/22,lunch,sushi,\ne18303,2015/05/22,dinner,sandwich,\ne18310,2015/05/23,breakfast,peanut-butter-jam,Kayden\ne18311,2015/05/23,lunch,sandwich,\ne18312,2015/05/23,dinner,sushi,\"Nevaeh, Rylee, Olivia, Eva, Lydia, Hazel, Piper, Piper\"\ne18320,2015/05/24,breakfast,cereals,\ne18321,2015/05/24,lunch,a burger,Kayden\ne18322,2015/05/24,dinner,sushi,\ne18328,2015/05/25,breakfast,peanut-butter-jam,\"Kinsley, Piper, Olivia\"\ne18329,2015/05/25,lunch,steak,\ne18330,2015/05/25,dinner,indian food,\ne18335,2015/05/26,breakfast,\"eggs, sausages, and bread\",\ne18336,2015/05/26,lunch,chinese food,\"Kayden, Emily, Andrew, Carter\"\ne18337,2015/05/26,dinner,steak,\ne18344,2015/05/27,breakfast,peanut-butter-jam,\"Claire, Layla, Kinsley, Piper, Eva, Nevaeh, Rylee, Avery\"\ne18345,2015/05/27,lunch,chinese food,\ne18346,2015/05/27,dinner,chinese food,\ne18352,2015/05/28,breakfast,\"eggs, sausages, and bread\",\"Piper, Kinsley, Claire, Avery, Rylee, Nevaeh, Layla, Hazel, Piper\"\ne18353,2015/05/28,lunch,sandwich,\ne18354,2015/05/28,dinner,fish and chips,\ne18362,2015/05/29,breakfast,\"eggs, sausages, and bread\",\ne18363,2015/05/29,lunch,chinese food,\ne18364,2015/05/29,dinner,sushi,\ne18372,2015/05/30,breakfast,peanut-butter-jam,\ne18373,2015/05/30,lunch,chinese food,\ne18374,2015/05/30,dinner,fish and chips,\"Olivia, Rylee, Hazel, Claire, Piper, Eva, Avery, Nora, Kinsley\"\ne18382,2015/05/31,breakfast,cereals,\ne18383,2015/05/31,lunch,a burger,Jackson\ne18384,2015/05/31,dinner,fish and chips,\"Kayden, Carter\"\ne18390,2015/06/01,breakfast,oatmeal,\ne18391,2015/06/01,lunch,steak,Claire\ne18392,2015/06/01,dinner,fish and chips,\ne18399,2015/06/02,breakfast,pancakes,\"Kayden, Carter, Emily\"\ne18400,2015/06/02,lunch,pasta,\ne18401,2015/06/02,dinner,tacos,\ne18409,2015/06/03,breakfast,pancakes,\ne18410,2015/06/03,lunch,sushi,\"Piper, Nora\"\ne18411,2015/06/03,dinner,sandwich,\ne18417,2015/06/04,breakfast,toast and cheese,\ne18418,2015/06/04,lunch,tacos,\"Emily, Carter\"\ne18419,2015/06/04,dinner,sandwich,Emily\ne18424,2015/06/05,breakfast,toast and cheese,\ne18425,2015/06/05,lunch,steak,\"Emily, Carter\"\ne18426,2015/06/05,dinner,fish and chips,\ne18434,2015/06/06,breakfast,toast and cheese,\ne18435,2015/06/06,lunch,chinese food,Jackson\ne18436,2015/06/06,dinner,sushi,\ne18443,2015/06/07,breakfast,toast and cheese,\ne18444,2015/06/07,lunch,fish and chips,\ne18445,2015/06/07,dinner,chinese food,\"Andrew, Kayden\"\ne18452,2015/06/08,breakfast,\"eggs, sausages, and bread\",\"Jackson, Willow, Avery\"\ne18453,2015/06/08,lunch,sandwich,\ne18454,2015/06/08,dinner,sandwich,Kinsley\ne18459,2015/06/09,breakfast,pancakes,\ne18460,2015/06/09,lunch,a burger,\"Lydia, Piper\"\ne18461,2015/06/09,dinner,pasta,\"Nora, Piper, Kinsley, Olivia, Rylee, Layla, Claire, Avery, Piper, Hazel\"\ne18466,2015/06/10,breakfast,\"eggs, sausages, and bread\",Carter\ne18467,2015/06/10,lunch,sandwich,\ne18468,2015/06/10,dinner,a burger,\"Emily, Andrew, Carter\"\ne18475,2015/06/11,breakfast,peanut-butter-jam,Carter\ne18476,2015/06/11,lunch,sandwich,\"Willow, Avery, Benjamin, Jackson\"\ne18477,2015/06/11,dinner,indian food,Willow\ne18484,2015/06/12,breakfast,oatmeal,\ne18485,2015/06/12,lunch,sushi,\ne18486,2015/06/12,dinner,sushi,\ne18493,2015/06/13,breakfast,peanut-butter-jam,\"Emily, Kayden, Carter\"\ne18494,2015/06/13,lunch,a burger,\ne18495,2015/06/13,dinner,chinese food,\"Carter, Andrew, Kayden, Emily\"\ne18501,2015/06/14,breakfast,pancakes,\"Emily, Kayden\"\ne18502,2015/06/14,lunch,tacos,\"Carter, Emily, Kayden\"\ne18503,2015/06/14,dinner,tacos,\"Carter, Kayden, Andrew\"\ne18509,2015/06/15,breakfast,pancakes,\"Hazel, Piper, Avery, Piper, Nora, Lydia, Nevaeh, Rylee, Claire, Kinsley\"\ne18510,2015/06/15,lunch,tacos,\ne18511,2015/06/15,dinner,chinese food,Carter\ne18517,2015/06/16,breakfast,\"eggs, sausages, and bread\",\"Layla, Lydia, Eva\"\ne18518,2015/06/16,lunch,steak,\ne18519,2015/06/16,dinner,sushi,\ne18525,2015/06/17,breakfast,pancakes,\ne18526,2015/06/17,lunch,sushi,\"Carter, Emily, Andrew, Kayden\"\ne18527,2015/06/17,dinner,tacos,\ne18533,2015/06/18,breakfast,\"eggs, sausages, and bread\",\ne18534,2015/06/18,lunch,steak,\ne18535,2015/06/18,dinner,pasta,\"Kayden, Andrew\"\ne18541,2015/06/19,breakfast,peanut-butter-jam,\ne18542,2015/06/19,lunch,a burger,\"Avery, Jackson, Benjamin, Willow\"\ne18543,2015/06/19,dinner,sushi,Kayden\ne18549,2015/06/20,breakfast,cereals,\ne18550,2015/06/20,lunch,steak,\ne18551,2015/06/20,dinner,tacos,\ne18558,2015/06/21,breakfast,\"eggs, sausages, and bread\",\"Emily, Andrew\"\ne18559,2015/06/21,lunch,steak,\ne18560,2015/06/21,dinner,a burger,\ne18567,2015/06/22,breakfast,\"eggs, sausages, and bread\",\"Eva, Piper, Rylee, Olivia, Nora, Claire, Piper, Layla, Kinsley, Avery\"\ne18568,2015/06/22,lunch,chinese food,\"Emily, Carter, Kayden, Andrew\"\ne18569,2015/06/22,dinner,indian food,\ne18576,2015/06/23,breakfast,peanut-butter-jam,\ne18577,2015/06/23,lunch,a burger,\ne18578,2015/06/23,dinner,a burger,\ne18583,2015/06/24,breakfast,\"eggs, sausages, and bread\",Emily\ne18584,2015/06/24,lunch,tacos,\"Emily, Kayden, Carter\"\ne18585,2015/06/24,dinner,indian food,\ne18593,2015/06/25,breakfast,peanut-butter-jam,\"Layla, Eva, Nora, Olivia, Rylee, Lydia, Avery, Hazel, Piper, Nevaeh\"\ne18594,2015/06/25,lunch,indian food,\ne18595,2015/06/25,dinner,steak,\ne18602,2015/06/26,breakfast,\"eggs, sausages, and bread\",Kayden\ne18603,2015/06/26,lunch,pasta,\ne18604,2015/06/26,dinner,sushi,\"Olivia, Piper, Lydia, Hazel, Kinsley, Nora, Layla, Rylee, Avery, Nevaeh, Piper\"\ne18610,2015/06/27,breakfast,cereals,\ne18611,2015/06/27,lunch,sandwich,\ne18612,2015/06/27,dinner,sushi,\"Layla, Nora, Avery, Lydia, Piper, Hazel, Eva\"\ne18619,2015/06/28,breakfast,pancakes,\ne18620,2015/06/28,lunch,fish and chips,\ne18621,2015/06/28,dinner,fish and chips,\ne18628,2015/06/29,breakfast,oatmeal,\ne18629,2015/06/29,lunch,chinese food,\"Olivia, Piper, Nora, Layla, Eva, Avery, Hazel\"\ne18630,2015/06/29,dinner,pasta,\ne18637,2015/06/30,breakfast,oatmeal,Piper\ne18638,2015/06/30,lunch,a burger,Emily\ne18639,2015/06/30,dinner,fish and chips,\ne18646,2015/07/01,breakfast,cereals,\"Benjamin, Jackson, Avery\"\ne18647,2015/07/01,lunch,chinese food,\ne18648,2015/07/01,dinner,sushi,\ne18655,2015/07/02,breakfast,\"eggs, sausages, and bread\",\ne18656,2015/07/02,lunch,a burger,\ne18657,2015/07/02,dinner,sushi,\ne18665,2015/07/03,breakfast,peanut-butter-jam,\ne18666,2015/07/03,lunch,tacos,\"Andrew, Kayden\"\ne18667,2015/07/03,dinner,tacos,\"Willow, Avery, Benjamin\"\ne18674,2015/07/04,breakfast,toast and cheese,\ne18675,2015/07/04,lunch,sushi,\ne18676,2015/07/04,dinner,indian food,\"Eva, Piper, Nevaeh, Lydia, Kinsley, Claire, Layla, Rylee, Piper, Olivia, Hazel\"\ne18681,2015/07/05,breakfast,cereals,\ne18682,2015/07/05,lunch,indian food,\ne18683,2015/07/05,dinner,steak,\ne18690,2015/07/06,breakfast,cereals,\ne18691,2015/07/06,lunch,sandwich,\ne18692,2015/07/06,dinner,indian food,\"Emily, Carter, Kayden\"\ne18699,2015/07/07,breakfast,\"eggs, sausages, and bread\",\ne18700,2015/07/07,lunch,a burger,\"Lydia, Hazel, Claire, Kinsley, Piper, Rylee\"\ne18701,2015/07/07,dinner,sushi,\"Avery, Nora, Piper, Lydia, Piper\"\ne18708,2015/07/08,breakfast,cereals,Olivia\ne18709,2015/07/08,lunch,sushi,\ne18710,2015/07/08,dinner,a burger,\"Piper, Nevaeh, Piper, Olivia, Eva, Lydia, Avery, Hazel, Claire, Kinsley, Rylee\"\ne18716,2015/07/09,breakfast,peanut-butter-jam,\ne18717,2015/07/09,lunch,chinese food,\ne18718,2015/07/09,dinner,a burger,\ne18725,2015/07/10,breakfast,pancakes,\ne18726,2015/07/10,lunch,pasta,\"Claire, Rylee, Avery, Olivia, Eva, Lydia, Hazel, Layla, Piper\"\ne18727,2015/07/10,dinner,pasta,\ne18733,2015/07/11,breakfast,toast and cheese,\ne18734,2015/07/11,lunch,tacos,\ne18735,2015/07/11,dinner,a burger,\ne18743,2015/07/12,breakfast,\"eggs, sausages, and bread\",\ne18744,2015/07/12,lunch,steak,\"Benjamin, Avery, Willow\"\ne18745,2015/07/12,dinner,pasta,\ne18753,2015/07/13,breakfast,peanut-butter-jam,\ne18754,2015/07/13,lunch,tacos,\"Layla, Rylee, Piper, Eva, Kinsley, Avery, Piper, Olivia, Lydia, Hazel, Nora, Nevaeh, Claire\"\ne18755,2015/07/13,dinner,pasta,Emily\ne18761,2015/07/14,breakfast,\"eggs, sausages, and bread\",\ne18762,2015/07/14,lunch,fish and chips,\ne18763,2015/07/14,dinner,sushi,\"Nora, Nevaeh, Eva, Olivia, Rylee, Layla, Piper, Avery\"\ne18770,2015/07/15,breakfast,pancakes,\ne18771,2015/07/15,lunch,indian food,\ne18772,2015/07/15,dinner,tacos,\ne18779,2015/07/16,breakfast,peanut-butter-jam,\ne18780,2015/07/16,lunch,tacos,\"Carter, Kayden, Emily, Andrew\"\ne18781,2015/07/16,dinner,steak,\ne18786,2015/07/17,breakfast,oatmeal,\ne18787,2015/07/17,lunch,indian food,\ne18788,2015/07/17,dinner,chinese food,\ne18793,2015/07/18,breakfast,oatmeal,Emily\ne18794,2015/07/18,lunch,sandwich,\ne18795,2015/07/18,dinner,indian food,\ne18801,2015/07/19,breakfast,toast and cheese,Andrew\ne18802,2015/07/19,lunch,tacos,\ne18803,2015/07/19,dinner,fish and chips,\ne18810,2015/07/20,breakfast,peanut-butter-jam,\"Kayden, Emily, Andrew\"\ne18811,2015/07/20,lunch,indian food,\"Kayden, Emily, Andrew\"\ne18812,2015/07/20,dinner,sushi,\"Carter, Andrew\"\ne18818,2015/07/21,breakfast,cereals,\"Avery, Jackson, Willow, Benjamin\"\ne18819,2015/07/21,lunch,a burger,\ne18820,2015/07/21,dinner,sandwich,\"Willow, Jackson\"\ne18826,2015/07/22,breakfast,cereals,\"Avery, Willow, Benjamin\"\ne18827,2015/07/22,lunch,chinese food,\ne18828,2015/07/22,dinner,a burger,\ne18836,2015/07/23,breakfast,peanut-butter-jam,\ne18837,2015/07/23,lunch,sandwich,\ne18838,2015/07/23,dinner,steak,\"Piper, Olivia, Nora, Rylee, Kinsley, Nevaeh\"\ne18845,2015/07/24,breakfast,\"eggs, sausages, and bread\",\"Eva, Piper, Layla, Nevaeh, Nora, Avery, Rylee, Claire\"\ne18846,2015/07/24,lunch,fish and chips,\ne18847,2015/07/24,dinner,indian food,\"Olivia, Kinsley, Lydia, Hazel, Piper, Claire, Piper, Nevaeh\"\ne18854,2015/07/25,breakfast,pancakes,\ne18855,2015/07/25,lunch,tacos,\ne18856,2015/07/25,dinner,sushi,\"Avery, Nevaeh, Hazel, Eva, Claire, Lydia, Rylee, Layla, Nora, Piper, Piper, Kinsley\"\ne18862,2015/07/26,breakfast,peanut-butter-jam,\"Emily, Andrew, Carter\"\ne18863,2015/07/26,lunch,chinese food,Carter\ne18864,2015/07/26,dinner,sandwich,Kayden\ne18871,2015/07/27,breakfast,\"eggs, sausages, and bread\",Andrew\ne18872,2015/07/27,lunch,sandwich,\ne18873,2015/07/27,dinner,indian food,\ne18878,2015/07/28,breakfast,cereals,\ne18879,2015/07/28,lunch,sandwich,\"Kayden, Andrew, Carter, Emily\"\ne18880,2015/07/28,dinner,indian food,\ne18888,2015/07/29,breakfast,pancakes,\ne18889,2015/07/29,lunch,steak,Lydia\ne18890,2015/07/29,dinner,tacos,\ne18896,2015/07/30,breakfast,peanut-butter-jam,\"Hazel, Eva, Layla, Avery, Nevaeh\"\ne18897,2015/07/30,lunch,fish and chips,\ne18898,2015/07/30,dinner,fish and chips,\ne18904,2015/07/31,breakfast,cereals,\ne18905,2015/07/31,lunch,sandwich,\ne18906,2015/07/31,dinner,tacos,\ne18912,2015/08/01,breakfast,cereals,Carter\ne18913,2015/08/01,lunch,tacos,\ne18914,2015/08/01,dinner,indian food,\ne18920,2015/08/02,breakfast,pancakes,\ne18921,2015/08/02,lunch,sandwich,\ne18922,2015/08/02,dinner,sandwich,\ne18928,2015/08/03,breakfast,peanut-butter-jam,\ne18929,2015/08/03,lunch,sushi,\ne18930,2015/08/03,dinner,sandwich,\ne18938,2015/08/04,breakfast,pancakes,\ne18939,2015/08/04,lunch,pasta,\ne18940,2015/08/04,dinner,a burger,\ne18947,2015/08/05,breakfast,pancakes,Carter\ne18948,2015/08/05,lunch,tacos,\ne18949,2015/08/05,dinner,a burger,\ne18957,2015/08/06,breakfast,pancakes,\"Emily, Kayden, Carter\"\ne18958,2015/08/06,lunch,pasta,\"Willow, Benjamin, Avery\"\ne18959,2015/08/06,dinner,sushi,\ne18964,2015/08/07,breakfast,cereals,\ne18965,2015/08/07,lunch,fish and chips,\"Andrew, Carter\"\ne18966,2015/08/07,dinner,a burger,\ne18973,2015/08/08,breakfast,toast and cheese,\ne18974,2015/08/08,lunch,steak,\"Carter, Andrew\"\ne18975,2015/08/08,dinner,indian food,\ne18981,2015/08/09,breakfast,toast and cheese,\ne18982,2015/08/09,lunch,sandwich,\"Kayden, Emily\"\ne18983,2015/08/09,dinner,steak,\ne18987,2015/08/10,breakfast,cereals,\"Piper, Nevaeh, Claire\"\ne18988,2015/08/10,lunch,chinese food,\ne18989,2015/08/10,dinner,pasta,\"Hazel, Lydia, Claire\"\ne18996,2015/08/11,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Kayden, Andrew\"\ne18997,2015/08/11,lunch,pasta,\ne18998,2015/08/11,dinner,indian food,\ne19004,2015/08/12,breakfast,peanut-butter-jam,\ne19005,2015/08/12,lunch,tacos,\"Andrew, Emily, Kayden\"\ne19006,2015/08/12,dinner,pasta,Carter\ne19013,2015/08/13,breakfast,\"eggs, sausages, and bread\",\"Nora, Kinsley, Hazel, Claire, Olivia, Nevaeh, Rylee, Piper, Layla, Lydia, Piper, Eva\"\ne19014,2015/08/13,lunch,sandwich,\"Carter, Andrew, Kayden, Emily\"\ne19015,2015/08/13,dinner,indian food,\ne19021,2015/08/14,breakfast,cereals,\ne19022,2015/08/14,lunch,indian food,\"Rylee, Kinsley, Nora, Lydia, Olivia, Avery, Piper, Eva, Claire, Layla, Hazel\"\ne19023,2015/08/14,dinner,pasta,\"Kinsley, Rylee, Claire, Nevaeh, Layla, Hazel, Lydia, Eva, Avery, Nora, Piper, Piper\"\ne19030,2015/08/15,breakfast,cereals,\ne19031,2015/08/15,lunch,a burger,\ne19032,2015/08/15,dinner,a burger,\ne19038,2015/08/16,breakfast,cereals,\"Nora, Piper, Rylee, Lydia\"\ne19039,2015/08/16,lunch,sandwich,\ne19040,2015/08/16,dinner,steak,\ne19046,2015/08/17,breakfast,\"eggs, sausages, and bread\",\ne19047,2015/08/17,lunch,a burger,\ne19048,2015/08/17,dinner,sushi,\ne19056,2015/08/18,breakfast,cereals,\"Lydia, Hazel, Piper, Olivia, Eva, Avery, Rylee, Nora\"\ne19057,2015/08/18,lunch,pasta,\"Andrew, Carter\"\ne19058,2015/08/18,dinner,tacos,\ne19065,2015/08/19,breakfast,\"eggs, sausages, and bread\",\"Piper, Eva, Avery, Nevaeh, Layla, Piper, Hazel, Rylee, Kinsley\"\ne19066,2015/08/19,lunch,chinese food,\"Andrew, Carter\"\ne19067,2015/08/19,dinner,steak,Andrew\ne19074,2015/08/20,breakfast,cereals,\ne19075,2015/08/20,lunch,tacos,\"Olivia, Avery\"\ne19076,2015/08/20,dinner,chinese food,\ne19082,2015/08/21,breakfast,cereals,\ne19083,2015/08/21,lunch,a burger,\"Nevaeh, Olivia, Piper, Piper, Nora, Hazel, Claire, Kinsley, Rylee\"\ne19084,2015/08/21,dinner,sandwich,\"Jackson, Willow, Benjamin\"\ne19090,2015/08/22,breakfast,oatmeal,Emily\ne19091,2015/08/22,lunch,sushi,\ne19092,2015/08/22,dinner,sandwich,\ne19099,2015/08/23,breakfast,cereals,\"Jackson, Avery, Willow\"\ne19100,2015/08/23,lunch,fish and chips,\ne19101,2015/08/23,dinner,tacos,Emily\ne19107,2015/08/24,breakfast,cereals,Andrew\ne19108,2015/08/24,lunch,pasta,\ne19109,2015/08/24,dinner,steak,\ne19116,2015/08/25,breakfast,pancakes,\"Emily, Kayden\"\ne19117,2015/08/25,lunch,pasta,\ne19118,2015/08/25,dinner,sushi,\ne19124,2015/08/26,breakfast,pancakes,Willow\ne19125,2015/08/26,lunch,pasta,\ne19126,2015/08/26,dinner,steak,\ne19134,2015/08/27,breakfast,toast and cheese,Emily\ne19135,2015/08/27,lunch,fish and chips,\ne19136,2015/08/27,dinner,chinese food,\"Benjamin, Willow\"\ne19142,2015/08/28,breakfast,peanut-butter-jam,\ne19143,2015/08/28,lunch,fish and chips,\ne19144,2015/08/28,dinner,steak,\"Nora, Kinsley\"\ne19151,2015/08/29,breakfast,cereals,\"Avery, Willow\"\ne19152,2015/08/29,lunch,a burger,\ne19153,2015/08/29,dinner,sushi,\ne19159,2015/08/30,breakfast,\"eggs, sausages, and bread\",\ne19160,2015/08/30,lunch,chinese food,\ne19161,2015/08/30,dinner,indian food,\ne19168,2015/08/31,breakfast,toast and cheese,\ne19169,2015/08/31,lunch,a burger,\"Hazel, Eva, Rylee, Piper, Kinsley\"\ne19170,2015/08/31,dinner,sandwich,\"Olivia, Avery, Kinsley, Rylee, Nora, Piper, Eva\"\ne19178,2015/09/01,breakfast,oatmeal,\ne19179,2015/09/01,lunch,sandwich,\ne19180,2015/09/01,dinner,pasta,\ne19187,2015/09/02,breakfast,peanut-butter-jam,\"Nora, Avery, Eva, Piper, Claire, Layla, Hazel\"\ne19188,2015/09/02,lunch,pasta,\ne19189,2015/09/02,dinner,pasta,\ne19195,2015/09/03,breakfast,cereals,\ne19196,2015/09/03,lunch,tacos,\ne19197,2015/09/03,dinner,fish and chips,Avery\ne19204,2015/09/04,breakfast,pancakes,\ne19205,2015/09/04,lunch,a burger,\ne19206,2015/09/04,dinner,chinese food,\ne19213,2015/09/05,breakfast,peanut-butter-jam,\ne19214,2015/09/05,lunch,chinese food,\ne19215,2015/09/05,dinner,fish and chips,\"Willow, Benjamin, Jackson, Avery\"\ne19223,2015/09/06,breakfast,oatmeal,\ne19224,2015/09/06,lunch,chinese food,\ne19225,2015/09/06,dinner,steak,\ne19233,2015/09/07,breakfast,cereals,\"Carter, Kayden, Emily\"\ne19234,2015/09/07,lunch,sandwich,\ne19235,2015/09/07,dinner,fish and chips,Carter\ne19242,2015/09/08,breakfast,cereals,\"Jackson, Willow\"\ne19243,2015/09/08,lunch,steak,\ne19244,2015/09/08,dinner,steak,\"Avery, Nevaeh, Lydia, Kinsley, Eva, Nora\"\ne19250,2015/09/09,breakfast,peanut-butter-jam,\"Kayden, Andrew, Carter\"\ne19251,2015/09/09,lunch,tacos,\ne19252,2015/09/09,dinner,sandwich,\"Kayden, Andrew, Emily, Carter\"\ne19258,2015/09/10,breakfast,pancakes,\"Kayden, Carter, Andrew, Emily\"\ne19259,2015/09/10,lunch,pasta,\ne19260,2015/09/10,dinner,sandwich,\ne19267,2015/09/11,breakfast,toast and cheese,\"Lydia, Nora, Claire, Avery, Kinsley, Piper, Nevaeh, Hazel, Eva, Piper\"\ne19268,2015/09/11,lunch,steak,Kayden\ne19269,2015/09/11,dinner,sushi,\"Jackson, Avery, Benjamin, Willow\"\ne19276,2015/09/12,breakfast,pancakes,\ne19277,2015/09/12,lunch,steak,\"Carter, Kayden, Emily\"\ne19278,2015/09/12,dinner,a burger,\ne19284,2015/09/13,breakfast,\"eggs, sausages, and bread\",\ne19285,2015/09/13,lunch,indian food,\ne19286,2015/09/13,dinner,tacos,\ne19292,2015/09/14,breakfast,\"eggs, sausages, and bread\",\"Nora, Layla\"\ne19293,2015/09/14,lunch,pasta,\"Andrew, Kayden\"\ne19294,2015/09/14,dinner,a burger,\ne19301,2015/09/15,breakfast,toast and cheese,\ne19302,2015/09/15,lunch,fish and chips,\ne19303,2015/09/15,dinner,a burger,\ne19310,2015/09/16,breakfast,toast and cheese,Emily\ne19311,2015/09/16,lunch,pasta,\"Kinsley, Piper, Nevaeh, Olivia, Avery, Rylee\"\ne19312,2015/09/16,dinner,indian food,\ne19317,2015/09/17,breakfast,peanut-butter-jam,\"Piper, Nevaeh, Eva, Nora, Rylee, Layla, Hazel\"\ne19318,2015/09/17,lunch,indian food,\"Layla, Eva, Claire, Hazel, Kinsley, Lydia, Piper, Avery, Piper, Rylee, Olivia, Nevaeh, Nora\"\ne19319,2015/09/17,dinner,indian food,\"Carter, Kayden\"\ne19327,2015/09/18,breakfast,peanut-butter-jam,\"Carter, Kayden, Emily\"\ne19328,2015/09/18,lunch,pasta,\ne19329,2015/09/18,dinner,sushi,\ne19337,2015/09/19,breakfast,cereals,\"Kayden, Emily, Andrew\"\ne19338,2015/09/19,lunch,fish and chips,\ne19339,2015/09/19,dinner,tacos,\ne19346,2015/09/20,breakfast,pancakes,\ne19347,2015/09/20,lunch,chinese food,\"Emily, Kayden, Carter\"\ne19348,2015/09/20,dinner,sandwich,\ne19356,2015/09/21,breakfast,cereals,\ne19357,2015/09/21,lunch,chinese food,\ne19358,2015/09/21,dinner,tacos,\ne19365,2015/09/22,breakfast,toast and cheese,\"Eva, Claire, Lydia, Layla, Olivia, Piper, Rylee, Nora, Piper, Avery, Hazel, Kinsley\"\ne19366,2015/09/22,lunch,a burger,\"Avery, Piper\"\ne19367,2015/09/22,dinner,sandwich,\ne19375,2015/09/23,breakfast,toast and cheese,\"Jackson, Willow\"\ne19376,2015/09/23,lunch,pasta,\ne19377,2015/09/23,dinner,indian food,\"Carter, Kayden\"\ne19383,2015/09/24,breakfast,peanut-butter-jam,\"Eva, Piper, Piper, Layla, Rylee, Nevaeh, Lydia, Claire, Hazel, Olivia, Avery, Nora\"\ne19384,2015/09/24,lunch,sushi,\ne19385,2015/09/24,dinner,steak,\ne19392,2015/09/25,breakfast,toast and cheese,\"Piper, Olivia, Avery, Layla, Nora, Hazel, Kinsley, Piper, Eva, Nevaeh, Rylee\"\ne19393,2015/09/25,lunch,sushi,\"Avery, Jackson\"\ne19394,2015/09/25,dinner,fish and chips,\"Andrew, Kayden\"\ne19399,2015/09/26,breakfast,pancakes,\ne19400,2015/09/26,lunch,a burger,\ne19401,2015/09/26,dinner,indian food,\"Kinsley, Hazel, Lydia, Rylee, Nora, Avery, Piper\"\ne19407,2015/09/27,breakfast,cereals,\"Nora, Piper, Nevaeh, Kinsley\"\ne19408,2015/09/27,lunch,a burger,\ne19409,2015/09/27,dinner,a burger,\ne19415,2015/09/28,breakfast,\"eggs, sausages, and bread\",\ne19416,2015/09/28,lunch,pasta,\"Kayden, Carter, Andrew\"\ne19417,2015/09/28,dinner,pasta,\"Andrew, Carter, Emily, Kayden\"\ne19423,2015/09/29,breakfast,cereals,\ne19424,2015/09/29,lunch,fish and chips,\"Avery, Benjamin\"\ne19425,2015/09/29,dinner,indian food,\ne19432,2015/09/30,breakfast,oatmeal,\"Andrew, Carter\"\ne19433,2015/09/30,lunch,tacos,\ne19434,2015/09/30,dinner,a burger,\ne19442,2015/10/01,breakfast,oatmeal,\ne19443,2015/10/01,lunch,pasta,\"Jackson, Willow\"\ne19444,2015/10/01,dinner,tacos,\ne19450,2015/10/02,breakfast,peanut-butter-jam,\"Kayden, Carter, Emily\"\ne19451,2015/10/02,lunch,tacos,\ne19452,2015/10/02,dinner,chinese food,\ne19459,2015/10/03,breakfast,peanut-butter-jam,\"Benjamin, Jackson, Willow, Avery\"\ne19460,2015/10/03,lunch,pasta,\ne19461,2015/10/03,dinner,pasta,\ne19468,2015/10/04,breakfast,\"eggs, sausages, and bread\",\ne19469,2015/10/04,lunch,indian food,\"Piper, Olivia, Nevaeh, Piper, Avery, Claire, Lydia, Eva, Layla, Nora, Rylee, Hazel\"\ne19470,2015/10/04,dinner,pasta,\ne19477,2015/10/05,breakfast,peanut-butter-jam,\"Kayden, Andrew, Carter\"\ne19478,2015/10/05,lunch,fish and chips,\ne19479,2015/10/05,dinner,chinese food,\"Emily, Kayden, Carter\"\ne19486,2015/10/06,breakfast,oatmeal,Andrew\ne19487,2015/10/06,lunch,a burger,\"Jackson, Avery\"\ne19488,2015/10/06,dinner,indian food,\ne19496,2015/10/07,breakfast,cereals,\ne19497,2015/10/07,lunch,indian food,\"Piper, Lydia, Layla, Olivia, Kinsley\"\ne19498,2015/10/07,dinner,tacos,\ne19505,2015/10/08,breakfast,toast and cheese,\ne19506,2015/10/08,lunch,fish and chips,\"Eva, Hazel, Nevaeh, Layla, Avery\"\ne19507,2015/10/08,dinner,sushi,Willow\ne19514,2015/10/09,breakfast,cereals,\"Nevaeh, Lydia, Claire, Rylee, Olivia\"\ne19515,2015/10/09,lunch,pasta,\ne19516,2015/10/09,dinner,sushi,\"Avery, Nora, Olivia, Nevaeh, Hazel, Piper, Rylee, Eva, Kinsley, Layla\"\ne19522,2015/10/10,breakfast,pancakes,\ne19523,2015/10/10,lunch,sandwich,\ne19524,2015/10/10,dinner,pasta,\"Carter, Andrew, Kayden, Emily\"\ne19532,2015/10/11,breakfast,pancakes,\ne19533,2015/10/11,lunch,fish and chips,\"Kayden, Emily, Andrew, Carter\"\ne19534,2015/10/11,dinner,steak,\ne19540,2015/10/12,breakfast,peanut-butter-jam,\ne19541,2015/10/12,lunch,indian food,Carter\ne19542,2015/10/12,dinner,indian food,Carter\ne19549,2015/10/13,breakfast,\"eggs, sausages, and bread\",\"Olivia, Rylee, Lydia, Avery, Eva, Nevaeh, Kinsley, Piper, Claire, Nora, Piper, Layla\"\ne19550,2015/10/13,lunch,tacos,\ne19551,2015/10/13,dinner,chinese food,\ne19557,2015/10/14,breakfast,\"eggs, sausages, and bread\",\"Rylee, Hazel, Eva, Layla, Piper, Avery, Nora\"\ne19558,2015/10/14,lunch,fish and chips,\ne19559,2015/10/14,dinner,chinese food,\ne19567,2015/10/15,breakfast,peanut-butter-jam,\ne19568,2015/10/15,lunch,pasta,\"Olivia, Nevaeh, Piper, Eva, Claire, Rylee, Piper, Hazel, Lydia, Avery, Nora, Layla, Kinsley\"\ne19569,2015/10/15,dinner,pasta,\ne19577,2015/10/16,breakfast,\"eggs, sausages, and bread\",\"Jackson, Avery\"\ne19578,2015/10/16,lunch,a burger,\"Carter, Kayden, Emily, Andrew\"\ne19579,2015/10/16,dinner,tacos,\"Piper, Claire, Kinsley, Nevaeh, Layla, Eva, Nora\"\ne19585,2015/10/17,breakfast,toast and cheese,\"Emily, Andrew\"\ne19586,2015/10/17,lunch,tacos,\"Kinsley, Eva, Olivia, Nevaeh, Piper, Layla\"\ne19587,2015/10/17,dinner,fish and chips,\ne19594,2015/10/18,breakfast,pancakes,\ne19595,2015/10/18,lunch,chinese food,\ne19596,2015/10/18,dinner,indian food,\"Nora, Rylee, Olivia\"\ne19602,2015/10/19,breakfast,pancakes,\ne19603,2015/10/19,lunch,steak,\ne19604,2015/10/19,dinner,pasta,\ne19610,2015/10/20,breakfast,pancakes,\ne19611,2015/10/20,lunch,sandwich,\ne19612,2015/10/20,dinner,tacos,\"Rylee, Layla, Avery, Piper, Kinsley, Hazel, Nevaeh, Eva, Nora\"\ne19619,2015/10/21,breakfast,peanut-butter-jam,\"Piper, Rylee, Kinsley, Layla, Nevaeh, Hazel, Avery, Eva, Olivia, Lydia, Nora\"\ne19620,2015/10/21,lunch,steak,\ne19621,2015/10/21,dinner,a burger,\ne19628,2015/10/22,breakfast,cereals,\ne19629,2015/10/22,lunch,sandwich,\ne19630,2015/10/22,dinner,tacos,\ne19637,2015/10/23,breakfast,oatmeal,\ne19638,2015/10/23,lunch,a burger,\ne19639,2015/10/23,dinner,tacos,\ne19646,2015/10/24,breakfast,cereals,\ne19647,2015/10/24,lunch,tacos,\"Kinsley, Layla, Hazel, Rylee, Claire, Olivia, Lydia, Eva, Avery, Piper, Piper\"\ne19648,2015/10/24,dinner,pasta,\ne19656,2015/10/25,breakfast,\"eggs, sausages, and bread\",Kayden\ne19657,2015/10/25,lunch,sandwich,\ne19658,2015/10/25,dinner,fish and chips,\ne19666,2015/10/26,breakfast,cereals,\ne19667,2015/10/26,lunch,sandwich,\"Carter, Andrew, Emily\"\ne19668,2015/10/26,dinner,tacos,\"Andrew, Emily, Carter\"\ne19676,2015/10/27,breakfast,pancakes,\ne19677,2015/10/27,lunch,chinese food,\ne19678,2015/10/27,dinner,tacos,\ne19685,2015/10/28,breakfast,\"eggs, sausages, and bread\",\ne19686,2015/10/28,lunch,sushi,\ne19687,2015/10/28,dinner,a burger,\"Avery, Willow, Benjamin\"\ne19693,2015/10/29,breakfast,pancakes,\ne19694,2015/10/29,lunch,pasta,Willow\ne19695,2015/10/29,dinner,steak,\"Kinsley, Avery, Hazel, Nevaeh, Lydia, Eva, Claire, Layla\"\ne19701,2015/10/30,breakfast,pancakes,\ne19702,2015/10/30,lunch,steak,\ne19703,2015/10/30,dinner,steak,\"Hazel, Piper, Nora, Eva, Avery, Olivia\"\ne19711,2015/10/31,breakfast,toast and cheese,Kayden\ne19712,2015/10/31,lunch,indian food,\ne19713,2015/10/31,dinner,a burger,\"Avery, Claire, Nevaeh, Hazel\"\ne19721,2015/11/01,breakfast,toast and cheese,\"Emily, Kayden\"\ne19722,2015/11/01,lunch,pasta,\ne19723,2015/11/01,dinner,tacos,\ne19728,2015/11/02,breakfast,peanut-butter-jam,\ne19729,2015/11/02,lunch,sandwich,\"Benjamin, Avery\"\ne19730,2015/11/02,dinner,chinese food,\"Kayden, Carter, Emily, Andrew\"\ne19737,2015/11/03,breakfast,pancakes,\ne19738,2015/11/03,lunch,indian food,\ne19739,2015/11/03,dinner,sandwich,\"Emily, Andrew, Kayden\"\ne19745,2015/11/04,breakfast,oatmeal,\ne19746,2015/11/04,lunch,a burger,\"Emily, Kayden, Carter\"\ne19747,2015/11/04,dinner,chinese food,\ne19754,2015/11/05,breakfast,pancakes,\ne19755,2015/11/05,lunch,steak,\"Carter, Kayden, Andrew, Emily\"\ne19756,2015/11/05,dinner,chinese food,\"Layla, Nevaeh, Piper, Olivia, Hazel, Rylee, Claire\"\ne19764,2015/11/06,breakfast,toast and cheese,\ne19765,2015/11/06,lunch,tacos,\ne19766,2015/11/06,dinner,steak,\"Nora, Piper, Piper, Layla, Claire, Rylee, Olivia, Hazel\"\ne19772,2015/11/07,breakfast,pancakes,\"Andrew, Kayden, Carter\"\ne19773,2015/11/07,lunch,steak,Emily\ne19774,2015/11/07,dinner,steak,\"Kayden, Emily, Carter\"\ne19782,2015/11/08,breakfast,toast and cheese,\ne19783,2015/11/08,lunch,a burger,Avery\ne19784,2015/11/08,dinner,tacos,\ne19791,2015/11/09,breakfast,toast and cheese,\"Andrew, Carter, Kayden\"\ne19792,2015/11/09,lunch,indian food,\"Emily, Carter, Andrew, Kayden\"\ne19793,2015/11/09,dinner,fish and chips,\"Andrew, Kayden\"\ne19799,2015/11/10,breakfast,cereals,Andrew\ne19800,2015/11/10,lunch,steak,\ne19801,2015/11/10,dinner,fish and chips,\ne19807,2015/11/11,breakfast,oatmeal,\ne19808,2015/11/11,lunch,steak,\"Eva, Kinsley, Olivia, Nevaeh, Lydia, Piper, Hazel, Nora, Avery, Layla, Rylee, Claire, Piper\"\ne19809,2015/11/11,dinner,indian food,\"Andrew, Kayden, Emily\"\ne19815,2015/11/12,breakfast,toast and cheese,\"Kayden, Andrew, Emily\"\ne19816,2015/11/12,lunch,a burger,\"Nevaeh, Nora, Piper, Piper, Layla, Rylee, Lydia, Claire, Olivia\"\ne19817,2015/11/12,dinner,steak,\"Carter, Emily, Andrew\"\ne19824,2015/11/13,breakfast,peanut-butter-jam,\"Piper, Claire, Hazel, Eva, Layla\"\ne19825,2015/11/13,lunch,tacos,\"Rylee, Eva, Hazel, Olivia\"\ne19826,2015/11/13,dinner,fish and chips,\"Andrew, Emily\"\ne19831,2015/11/14,breakfast,oatmeal,\ne19832,2015/11/14,lunch,steak,\"Avery, Benjamin, Jackson, Willow\"\ne19833,2015/11/14,dinner,a burger,\ne19840,2015/11/15,breakfast,\"eggs, sausages, and bread\",\ne19841,2015/11/15,lunch,fish and chips,\"Andrew, Carter\"\ne19842,2015/11/15,dinner,chinese food,\ne19848,2015/11/16,breakfast,peanut-butter-jam,\ne19849,2015/11/16,lunch,sandwich,\"Carter, Emily, Andrew, Kayden\"\ne19850,2015/11/16,dinner,steak,\ne19855,2015/11/17,breakfast,pancakes,\ne19856,2015/11/17,lunch,sandwich,\ne19857,2015/11/17,dinner,steak,\"Kayden, Emily\"\ne19864,2015/11/18,breakfast,cereals,\ne19865,2015/11/18,lunch,pasta,\ne19866,2015/11/18,dinner,sushi,\ne19872,2015/11/19,breakfast,pancakes,\ne19873,2015/11/19,lunch,a burger,\ne19874,2015/11/19,dinner,steak,Benjamin\ne19880,2015/11/20,breakfast,toast and cheese,\ne19881,2015/11/20,lunch,steak,\ne19882,2015/11/20,dinner,chinese food,\"Andrew, Kayden, Carter, Emily\"\ne19890,2015/11/21,breakfast,peanut-butter-jam,\"Kayden, Andrew, Emily, Carter\"\ne19891,2015/11/21,lunch,fish and chips,\ne19892,2015/11/21,dinner,tacos,\"Avery, Benjamin, Willow, Jackson\"\ne19898,2015/11/22,breakfast,cereals,\ne19899,2015/11/22,lunch,chinese food,\"Kayden, Emily, Carter, Andrew\"\ne19900,2015/11/22,dinner,chinese food,\ne19908,2015/11/23,breakfast,pancakes,\ne19909,2015/11/23,lunch,fish and chips,\"Avery, Willow, Jackson, Benjamin\"\ne19910,2015/11/23,dinner,fish and chips,\"Emily, Kayden, Andrew, Carter\"\ne19917,2015/11/24,breakfast,oatmeal,\"Rylee, Layla, Lydia, Avery, Eva, Piper, Nevaeh, Kinsley, Piper, Hazel, Nora\"\ne19918,2015/11/24,lunch,pasta,\"Rylee, Eva, Piper\"\ne19919,2015/11/24,dinner,a burger,\ne19926,2015/11/25,breakfast,pancakes,\ne19927,2015/11/25,lunch,a burger,\ne19928,2015/11/25,dinner,pasta,\ne19934,2015/11/26,breakfast,peanut-butter-jam,\ne19935,2015/11/26,lunch,indian food,\ne19936,2015/11/26,dinner,indian food,Andrew\ne19943,2015/11/27,breakfast,toast and cheese,\ne19944,2015/11/27,lunch,steak,\"Piper, Claire, Eva, Lydia, Piper, Olivia, Nora\"\ne19945,2015/11/27,dinner,chinese food,\ne19952,2015/11/28,breakfast,cereals,Benjamin\ne19953,2015/11/28,lunch,a burger,\ne19954,2015/11/28,dinner,sandwich,\ne19961,2015/11/29,breakfast,oatmeal,\"Emily, Andrew\"\ne19962,2015/11/29,lunch,chinese food,Kayden\ne19963,2015/11/29,dinner,sushi,\"Nora, Piper, Rylee, Hazel, Nevaeh, Eva, Piper, Claire, Avery, Lydia, Olivia, Kinsley\"\ne19969,2015/11/30,breakfast,oatmeal,\"Andrew, Emily, Carter\"\ne19970,2015/11/30,lunch,sushi,\ne19971,2015/11/30,dinner,a burger,\ne19978,2015/12/01,breakfast,toast and cheese,\"Hazel, Piper, Eva, Lydia, Nora, Rylee, Olivia, Layla, Kinsley, Nevaeh, Claire, Avery, Piper\"\ne19979,2015/12/01,lunch,fish and chips,\ne19980,2015/12/01,dinner,tacos,\ne19987,2015/12/02,breakfast,toast and cheese,\"Andrew, Kayden, Emily\"\ne19988,2015/12/02,lunch,steak,\ne19989,2015/12/02,dinner,pasta,\ne19995,2015/12/03,breakfast,oatmeal,\"Kayden, Andrew, Emily\"\ne19996,2015/12/03,lunch,sushi,\ne19997,2015/12/03,dinner,steak,\ne20003,2015/12/04,breakfast,pancakes,\ne20004,2015/12/04,lunch,a burger,\ne20005,2015/12/04,dinner,steak,Andrew\ne20009,2015/12/05,breakfast,oatmeal,\ne20010,2015/12/05,lunch,indian food,\ne20011,2015/12/05,dinner,sandwich,\ne20017,2015/12/06,breakfast,toast and cheese,\"Piper, Lydia, Avery, Rylee, Eva, Piper\"\ne20018,2015/12/06,lunch,a burger,\"Andrew, Kayden\"\ne20019,2015/12/06,dinner,chinese food,\ne20025,2015/12/07,breakfast,peanut-butter-jam,\"Kayden, Carter, Andrew\"\ne20026,2015/12/07,lunch,steak,\ne20027,2015/12/07,dinner,chinese food,\"Emily, Kayden, Andrew, Carter\"\ne20034,2015/12/08,breakfast,pancakes,\"Emily, Carter\"\ne20035,2015/12/08,lunch,steak,\"Emily, Kayden, Andrew, Carter\"\ne20036,2015/12/08,dinner,steak,Kayden\ne20043,2015/12/09,breakfast,pancakes,\ne20044,2015/12/09,lunch,sandwich,\ne20045,2015/12/09,dinner,indian food,\ne20051,2015/12/10,breakfast,pancakes,\ne20052,2015/12/10,lunch,sandwich,\ne20053,2015/12/10,dinner,indian food,\"Rylee, Kinsley\"\ne20060,2015/12/11,breakfast,peanut-butter-jam,\ne20061,2015/12/11,lunch,tacos,\"Lydia, Kinsley, Olivia, Hazel, Nora, Avery, Rylee, Claire, Piper, Layla, Piper, Nevaeh, Eva\"\ne20062,2015/12/11,dinner,sandwich,\"Andrew, Kayden\"\ne20068,2015/12/12,breakfast,peanut-butter-jam,\ne20069,2015/12/12,lunch,tacos,\ne20070,2015/12/12,dinner,sandwich,\ne20078,2015/12/13,breakfast,toast and cheese,\ne20079,2015/12/13,lunch,indian food,\ne20080,2015/12/13,dinner,indian food,\"Jackson, Benjamin\"\ne20087,2015/12/14,breakfast,\"eggs, sausages, and bread\",\ne20088,2015/12/14,lunch,steak,\"Willow, Avery, Benjamin, Jackson\"\ne20089,2015/12/14,dinner,a burger,\ne20095,2015/12/15,breakfast,cereals,\"Andrew, Emily\"\ne20096,2015/12/15,lunch,chinese food,\ne20097,2015/12/15,dinner,steak,\ne20102,2015/12/16,breakfast,\"eggs, sausages, and bread\",\ne20103,2015/12/16,lunch,sandwich,Avery\ne20104,2015/12/16,dinner,fish and chips,\ne20110,2015/12/17,breakfast,peanut-butter-jam,\ne20111,2015/12/17,lunch,a burger,\ne20112,2015/12/17,dinner,indian food,\ne20117,2015/12/18,breakfast,oatmeal,\ne20118,2015/12/18,lunch,indian food,\ne20119,2015/12/18,dinner,indian food,\"Andrew, Emily, Kayden, Carter\"\ne20125,2015/12/19,breakfast,peanut-butter-jam,\ne20126,2015/12/19,lunch,chinese food,\ne20127,2015/12/19,dinner,indian food,\ne20135,2015/12/20,breakfast,pancakes,Carter\ne20136,2015/12/20,lunch,tacos,\"Hazel, Eva, Rylee, Lydia\"\ne20137,2015/12/20,dinner,fish and chips,\ne20145,2015/12/21,breakfast,peanut-butter-jam,\ne20146,2015/12/21,lunch,sushi,\ne20147,2015/12/21,dinner,steak,\ne20155,2015/12/22,breakfast,peanut-butter-jam,\ne20156,2015/12/22,lunch,sushi,Andrew\ne20157,2015/12/22,dinner,steak,\"Andrew, Emily, Carter\"\ne20164,2015/12/23,breakfast,peanut-butter-jam,\"Avery, Benjamin, Jackson, Willow\"\ne20165,2015/12/23,lunch,tacos,\"Andrew, Emily, Kayden\"\ne20166,2015/12/23,dinner,tacos,Kayden\ne20172,2015/12/24,breakfast,toast and cheese,\"Olivia, Claire, Lydia, Layla, Rylee, Piper, Piper, Avery, Hazel, Kinsley, Nevaeh\"\ne20173,2015/12/24,lunch,fish and chips,\ne20174,2015/12/24,dinner,a burger,\ne20181,2015/12/25,breakfast,toast and cheese,Nora\ne20182,2015/12/25,lunch,fish and chips,\"Benjamin, Avery, Jackson, Willow\"\ne20183,2015/12/25,dinner,fish and chips,Carter\ne20191,2015/12/26,breakfast,pancakes,\"Emily, Andrew, Carter, Kayden\"\ne20192,2015/12/26,lunch,indian food,\ne20193,2015/12/26,dinner,sushi,Piper\ne20200,2015/12/27,breakfast,pancakes,\ne20201,2015/12/27,lunch,indian food,\ne20202,2015/12/27,dinner,chinese food,\ne20208,2015/12/28,breakfast,oatmeal,Piper\ne20209,2015/12/28,lunch,pasta,\"Piper, Layla, Hazel\"\ne20210,2015/12/28,dinner,fish and chips,\ne20217,2015/12/29,breakfast,oatmeal,\ne20218,2015/12/29,lunch,tacos,Nevaeh\ne20219,2015/12/29,dinner,fish and chips,\"Kayden, Andrew, Carter\"\ne20226,2015/12/30,breakfast,pancakes,\"Olivia, Claire\"\ne20227,2015/12/30,lunch,steak,\ne20228,2015/12/30,dinner,steak,\ne20235,2015/12/31,breakfast,peanut-butter-jam,\ne20236,2015/12/31,lunch,pasta,\ne20237,2015/12/31,dinner,sushi,\ne20431,2016/01/01,breakfast,peanut-butter-jam,\ne20432,2016/01/01,lunch,steak,\"Jackson, Willow, Avery, Benjamin\"\ne20433,2016/01/01,dinner,fish and chips,\ne20441,2016/01/02,breakfast,\"eggs, sausages, and bread\",\"Avery, Piper, Eva, Olivia, Claire\"\ne20442,2016/01/02,lunch,pasta,\"Kayden, Carter, Andrew\"\ne20443,2016/01/02,dinner,fish and chips,\ne20451,2016/01/03,breakfast,peanut-butter-jam,\"Emily, Kayden\"\ne20452,2016/01/03,lunch,a burger,Emily\ne20453,2016/01/03,dinner,a burger,Benjamin\ne20458,2016/01/04,breakfast,toast and cheese,\ne20459,2016/01/04,lunch,sandwich,\"Claire, Nevaeh, Lydia, Piper, Hazel, Nora, Rylee, Layla, Olivia, Kinsley, Avery\"\ne20460,2016/01/04,dinner,fish and chips,\"Andrew, Kayden, Emily\"\ne20467,2016/01/05,breakfast,peanut-butter-jam,\ne20468,2016/01/05,lunch,a burger,\"Layla, Eva, Piper, Piper, Avery, Rylee, Nevaeh\"\ne20469,2016/01/05,dinner,steak,\"Carter, Emily, Andrew, Kayden\"\ne20477,2016/01/06,breakfast,cereals,\ne20478,2016/01/06,lunch,tacos,\"Nevaeh, Olivia, Eva, Rylee, Piper, Nora, Lydia\"\ne20479,2016/01/06,dinner,sandwich,\ne20485,2016/01/07,breakfast,pancakes,\"Emily, Kayden\"\ne20486,2016/01/07,lunch,tacos,\ne20487,2016/01/07,dinner,chinese food,\ne20493,2016/01/08,breakfast,pancakes,\ne20494,2016/01/08,lunch,indian food,\ne20495,2016/01/08,dinner,sushi,\ne20501,2016/01/09,breakfast,toast and cheese,\ne20502,2016/01/09,lunch,sandwich,\"Piper, Hazel, Rylee, Nora, Eva, Avery\"\ne20503,2016/01/09,dinner,sandwich,\ne20510,2016/01/10,breakfast,\"eggs, sausages, and bread\",Benjamin\ne20511,2016/01/10,lunch,steak,\ne20512,2016/01/10,dinner,tacos,\"Lydia, Avery, Olivia, Piper, Layla, Piper, Nora\"\ne20518,2016/01/11,breakfast,oatmeal,\ne20519,2016/01/11,lunch,indian food,\ne20520,2016/01/11,dinner,indian food,\ne20527,2016/01/12,breakfast,oatmeal,\ne20528,2016/01/12,lunch,sandwich,\"Piper, Avery, Layla, Kinsley, Piper, Nevaeh, Olivia, Nora, Lydia, Rylee, Claire, Eva, Hazel\"\ne20529,2016/01/12,dinner,indian food,\ne20537,2016/01/13,breakfast,peanut-butter-jam,Andrew\ne20538,2016/01/13,lunch,chinese food,\ne20539,2016/01/13,dinner,a burger,\ne20544,2016/01/14,breakfast,cereals,\"Willow, Avery, Benjamin, Jackson\"\ne20545,2016/01/14,lunch,chinese food,\"Emily, Kayden, Carter\"\ne20546,2016/01/14,dinner,pasta,\ne20553,2016/01/15,breakfast,\"eggs, sausages, and bread\",\ne20554,2016/01/15,lunch,a burger,\ne20555,2016/01/15,dinner,tacos,\ne20563,2016/01/16,breakfast,oatmeal,Nora\ne20564,2016/01/16,lunch,indian food,\ne20565,2016/01/16,dinner,pasta,\ne20573,2016/01/17,breakfast,toast and cheese,\ne20574,2016/01/17,lunch,chinese food,\"Willow, Avery\"\ne20575,2016/01/17,dinner,a burger,\ne20582,2016/01/18,breakfast,\"eggs, sausages, and bread\",\ne20583,2016/01/18,lunch,chinese food,\ne20584,2016/01/18,dinner,sandwich,\"Rylee, Hazel, Piper\"\ne20592,2016/01/19,breakfast,\"eggs, sausages, and bread\",\ne20593,2016/01/19,lunch,a burger,\"Carter, Kayden, Andrew\"\ne20594,2016/01/19,dinner,sandwich,\ne20602,2016/01/20,breakfast,pancakes,\ne20603,2016/01/20,lunch,chinese food,\ne20604,2016/01/20,dinner,chinese food,\ne20611,2016/01/21,breakfast,pancakes,\ne20612,2016/01/21,lunch,tacos,Jackson\ne20613,2016/01/21,dinner,fish and chips,\ne20620,2016/01/22,breakfast,toast and cheese,Kayden\ne20621,2016/01/22,lunch,sandwich,\ne20622,2016/01/22,dinner,fish and chips,\"Emily, Carter, Andrew\"\ne20628,2016/01/23,breakfast,pancakes,\ne20629,2016/01/23,lunch,a burger,Emily\ne20630,2016/01/23,dinner,sushi,\ne20638,2016/01/24,breakfast,toast and cheese,\ne20639,2016/01/24,lunch,pasta,\ne20640,2016/01/24,dinner,steak,\"Andrew, Emily\"\ne20646,2016/01/25,breakfast,\"eggs, sausages, and bread\",\ne20647,2016/01/25,lunch,fish and chips,\"Kinsley, Nora, Layla, Lydia, Hazel, Piper, Avery, Claire, Olivia, Piper, Eva\"\ne20648,2016/01/25,dinner,chinese food,\"Andrew, Emily, Carter\"\ne20654,2016/01/26,breakfast,\"eggs, sausages, and bread\",\ne20655,2016/01/26,lunch,fish and chips,\ne20656,2016/01/26,dinner,tacos,\"Carter, Andrew\"\ne20663,2016/01/27,breakfast,cereals,\"Nora, Layla, Lydia, Claire, Piper, Piper, Nevaeh, Kinsley, Avery, Olivia, Eva, Hazel, Rylee\"\ne20664,2016/01/27,lunch,a burger,\ne20665,2016/01/27,dinner,fish and chips,\"Andrew, Emily\"\ne20673,2016/01/28,breakfast,cereals,\ne20674,2016/01/28,lunch,tacos,\ne20675,2016/01/28,dinner,pasta,\ne20682,2016/01/29,breakfast,cereals,\"Benjamin, Avery\"\ne20683,2016/01/29,lunch,steak,\"Jackson, Willow\"\ne20684,2016/01/29,dinner,chinese food,\"Avery, Kinsley, Olivia, Nevaeh, Hazel, Lydia, Piper, Claire, Eva, Nora\"\ne20690,2016/01/30,breakfast,\"eggs, sausages, and bread\",\ne20691,2016/01/30,lunch,indian food,\ne20692,2016/01/30,dinner,fish and chips,\ne20699,2016/01/31,breakfast,oatmeal,\ne20700,2016/01/31,lunch,chinese food,Andrew\ne20701,2016/01/31,dinner,fish and chips,\"Andrew, Carter\"\ne20707,2016/02/01,breakfast,toast and cheese,\ne20708,2016/02/01,lunch,chinese food,\ne20709,2016/02/01,dinner,tacos,\"Benjamin, Willow, Avery, Jackson\"\ne20717,2016/02/02,breakfast,peanut-butter-jam,\"Kayden, Andrew\"\ne20718,2016/02/02,lunch,tacos,\ne20719,2016/02/02,dinner,fish and chips,\ne20726,2016/02/03,breakfast,pancakes,\ne20727,2016/02/03,lunch,sandwich,\ne20728,2016/02/03,dinner,a burger,\ne20734,2016/02/04,breakfast,peanut-butter-jam,\ne20735,2016/02/04,lunch,pasta,\ne20736,2016/02/04,dinner,sushi,\ne20743,2016/02/05,breakfast,\"eggs, sausages, and bread\",\ne20744,2016/02/05,lunch,fish and chips,\"Andrew, Carter\"\ne20745,2016/02/05,dinner,steak,\ne20752,2016/02/06,breakfast,cereals,Emily\ne20753,2016/02/06,lunch,tacos,\"Emily, Kayden, Andrew\"\ne20754,2016/02/06,dinner,a burger,\ne20761,2016/02/07,breakfast,pancakes,Nevaeh\ne20762,2016/02/07,lunch,chinese food,\ne20763,2016/02/07,dinner,pasta,\ne20770,2016/02/08,breakfast,oatmeal,Carter\ne20771,2016/02/08,lunch,fish and chips,\ne20772,2016/02/08,dinner,fish and chips,Carter\ne20778,2016/02/09,breakfast,cereals,\"Carter, Kayden\"\ne20779,2016/02/09,lunch,steak,\"Claire, Piper, Eva, Olivia, Nora\"\ne20780,2016/02/09,dinner,indian food,\ne20788,2016/02/10,breakfast,pancakes,\"Kayden, Andrew\"\ne20789,2016/02/10,lunch,sandwich,\"Rylee, Claire, Olivia, Piper, Lydia, Eva, Layla, Hazel, Kinsley, Nevaeh\"\ne20790,2016/02/10,dinner,pasta,\ne20795,2016/02/11,breakfast,peanut-butter-jam,\"Willow, Benjamin, Avery, Jackson\"\ne20796,2016/02/11,lunch,a burger,\ne20797,2016/02/11,dinner,chinese food,\"Willow, Jackson, Benjamin, Avery\"\ne20805,2016/02/12,breakfast,pancakes,\ne20806,2016/02/12,lunch,pasta,Lydia\ne20807,2016/02/12,dinner,indian food,\"Willow, Benjamin\"\ne20815,2016/02/13,breakfast,peanut-butter-jam,\ne20816,2016/02/13,lunch,steak,\"Carter, Kayden, Emily\"\ne20817,2016/02/13,dinner,a burger,\ne20823,2016/02/14,breakfast,pancakes,\ne20824,2016/02/14,lunch,a burger,\ne20825,2016/02/14,dinner,sushi,Carter\ne20832,2016/02/15,breakfast,cereals,\"Rylee, Avery, Nora, Piper, Eva, Piper, Lydia, Olivia, Hazel, Claire, Kinsley, Layla\"\ne20833,2016/02/15,lunch,a burger,Carter\ne20834,2016/02/15,dinner,tacos,\ne20840,2016/02/16,breakfast,\"eggs, sausages, and bread\",\ne20841,2016/02/16,lunch,sandwich,Piper\ne20842,2016/02/16,dinner,chinese food,\ne20849,2016/02/17,breakfast,toast and cheese,\ne20850,2016/02/17,lunch,steak,\ne20851,2016/02/17,dinner,a burger,\ne20858,2016/02/18,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden, Carter\"\ne20859,2016/02/18,lunch,indian food,\ne20860,2016/02/18,dinner,pasta,\ne20866,2016/02/19,breakfast,peanut-butter-jam,\"Carter, Kayden\"\ne20867,2016/02/19,lunch,sushi,\"Emily, Andrew, Carter\"\ne20868,2016/02/19,dinner,chinese food,\ne20874,2016/02/20,breakfast,pancakes,\ne20875,2016/02/20,lunch,indian food,\ne20876,2016/02/20,dinner,sushi,\"Andrew, Carter\"\ne20884,2016/02/21,breakfast,toast and cheese,\ne20885,2016/02/21,lunch,pasta,\ne20886,2016/02/21,dinner,steak,\ne20892,2016/02/22,breakfast,toast and cheese,\ne20893,2016/02/22,lunch,a burger,\ne20894,2016/02/22,dinner,tacos,\ne20900,2016/02/23,breakfast,pancakes,\ne20901,2016/02/23,lunch,sushi,\ne20902,2016/02/23,dinner,a burger,\ne20907,2016/02/24,breakfast,peanut-butter-jam,\ne20908,2016/02/24,lunch,sushi,\"Emily, Kayden\"\ne20909,2016/02/24,dinner,sandwich,\"Nora, Piper, Claire, Nevaeh, Piper, Rylee, Eva, Olivia, Avery\"\ne20915,2016/02/25,breakfast,cereals,\ne20916,2016/02/25,lunch,sushi,\"Andrew, Emily, Kayden, Carter\"\ne20917,2016/02/25,dinner,pasta,\"Kayden, Andrew, Emily\"\ne20923,2016/02/26,breakfast,toast and cheese,\ne20924,2016/02/26,lunch,fish and chips,\ne20925,2016/02/26,dinner,indian food,\ne20931,2016/02/27,breakfast,pancakes,\"Nevaeh, Hazel, Kinsley, Avery, Olivia, Piper, Rylee, Nora, Claire, Lydia, Piper, Eva\"\ne20932,2016/02/27,lunch,a burger,\"Rylee, Hazel, Eva, Piper, Avery, Lydia, Piper, Layla, Claire, Olivia, Nevaeh\"\ne20933,2016/02/27,dinner,chinese food,\"Jackson, Benjamin, Willow\"\ne20940,2016/02/28,breakfast,toast and cheese,\"Carter, Emily, Andrew, Kayden\"\ne20941,2016/02/28,lunch,fish and chips,\"Avery, Willow, Benjamin\"\ne20942,2016/02/28,dinner,a burger,Andrew\ne20947,2016/02/29,breakfast,cereals,\"Carter, Emily\"\ne20948,2016/02/29,lunch,tacos,\ne20949,2016/02/29,dinner,tacos,\ne20956,2016/03/01,breakfast,pancakes,\ne20957,2016/03/01,lunch,fish and chips,\"Eva, Claire, Nevaeh, Hazel, Piper, Lydia, Kinsley, Rylee\"\ne20958,2016/03/01,dinner,steak,\ne20965,2016/03/02,breakfast,pancakes,\"Emily, Kayden\"\ne20966,2016/03/02,lunch,chinese food,\ne20967,2016/03/02,dinner,fish and chips,Emily\ne20974,2016/03/03,breakfast,cereals,\"Andrew, Emily, Kayden\"\ne20975,2016/03/03,lunch,indian food,\ne20976,2016/03/03,dinner,a burger,\ne20980,2016/03/04,breakfast,peanut-butter-jam,\ne20981,2016/03/04,lunch,pasta,\"Piper, Avery, Claire, Olivia, Eva, Nora, Nevaeh\"\ne20982,2016/03/04,dinner,sushi,\ne20989,2016/03/05,breakfast,oatmeal,\"Andrew, Emily, Kayden\"\ne20990,2016/03/05,lunch,pasta,\ne20991,2016/03/05,dinner,sushi,\ne20996,2016/03/06,breakfast,peanut-butter-jam,\ne20997,2016/03/06,lunch,tacos,Carter\ne20998,2016/03/06,dinner,chinese food,\ne21006,2016/03/07,breakfast,pancakes,\"Carter, Emily, Kayden\"\ne21007,2016/03/07,lunch,tacos,\"Emily, Kayden, Andrew, Carter\"\ne21008,2016/03/07,dinner,steak,\ne21015,2016/03/08,breakfast,oatmeal,\ne21016,2016/03/08,lunch,sandwich,\ne21017,2016/03/08,dinner,chinese food,\ne21022,2016/03/09,breakfast,toast and cheese,\"Andrew, Carter, Kayden, Emily\"\ne21023,2016/03/09,lunch,fish and chips,\ne21024,2016/03/09,dinner,a burger,\ne21031,2016/03/10,breakfast,toast and cheese,\"Benjamin, Avery, Willow\"\ne21032,2016/03/10,lunch,sushi,\"Emily, Andrew, Carter, Kayden\"\ne21033,2016/03/10,dinner,chinese food,\ne21040,2016/03/11,breakfast,\"eggs, sausages, and bread\",\ne21041,2016/03/11,lunch,steak,\ne21042,2016/03/11,dinner,sushi,Benjamin\ne21048,2016/03/12,breakfast,pancakes,\ne21049,2016/03/12,lunch,chinese food,\ne21050,2016/03/12,dinner,tacos,\ne21055,2016/03/13,breakfast,pancakes,\ne21056,2016/03/13,lunch,sandwich,\ne21057,2016/03/13,dinner,sandwich,Jackson\ne21064,2016/03/14,breakfast,toast and cheese,\ne21065,2016/03/14,lunch,indian food,\"Layla, Hazel, Nora, Piper, Rylee\"\ne21066,2016/03/14,dinner,chinese food,\ne21074,2016/03/15,breakfast,oatmeal,\"Nevaeh, Lydia, Piper, Nora\"\ne21075,2016/03/15,lunch,a burger,\ne21076,2016/03/15,dinner,steak,\ne21081,2016/03/16,breakfast,toast and cheese,\"Benjamin, Jackson\"\ne21082,2016/03/16,lunch,pasta,\ne21083,2016/03/16,dinner,sandwich,\"Avery, Hazel, Eva, Nevaeh, Piper, Olivia, Nora, Claire, Layla, Kinsley\"\ne21089,2016/03/17,breakfast,toast and cheese,\ne21090,2016/03/17,lunch,a burger,\ne21091,2016/03/17,dinner,steak,\ne21098,2016/03/18,breakfast,pancakes,\ne21099,2016/03/18,lunch,tacos,\"Avery, Piper, Olivia, Piper, Layla, Nora, Kinsley, Eva, Nevaeh\"\ne21100,2016/03/18,dinner,sushi,\"Avery, Jackson, Benjamin, Willow\"\ne21108,2016/03/19,breakfast,\"eggs, sausages, and bread\",\"Piper, Piper, Kinsley, Nora, Rylee, Olivia, Hazel, Layla, Nevaeh, Lydia, Eva\"\ne21109,2016/03/19,lunch,sandwich,\"Avery, Jackson\"\ne21110,2016/03/19,dinner,a burger,\"Benjamin, Avery, Jackson\"\ne21117,2016/03/20,breakfast,\"eggs, sausages, and bread\",\"Eva, Piper, Rylee, Layla, Hazel, Piper\"\ne21118,2016/03/20,lunch,pasta,Piper\ne21119,2016/03/20,dinner,a burger,\"Piper, Avery, Piper, Nevaeh, Rylee, Eva, Lydia, Hazel\"\ne21126,2016/03/21,breakfast,pancakes,\"Piper, Kinsley, Avery, Olivia, Claire, Hazel, Nevaeh, Lydia\"\ne21127,2016/03/21,lunch,fish and chips,\"Kayden, Emily\"\ne21128,2016/03/21,dinner,a burger,\ne21135,2016/03/22,breakfast,cereals,\ne21136,2016/03/22,lunch,fish and chips,\ne21137,2016/03/22,dinner,chinese food,\ne21145,2016/03/23,breakfast,toast and cheese,\ne21146,2016/03/23,lunch,sandwich,Kinsley\ne21147,2016/03/23,dinner,tacos,\"Rylee, Layla, Lydia, Claire, Avery, Nevaeh, Nora, Eva, Olivia, Piper, Piper, Kinsley\"\ne21154,2016/03/24,breakfast,toast and cheese,\ne21155,2016/03/24,lunch,a burger,Jackson\ne21156,2016/03/24,dinner,sushi,\ne21164,2016/03/25,breakfast,peanut-butter-jam,\ne21165,2016/03/25,lunch,pasta,\ne21166,2016/03/25,dinner,chinese food,\ne21173,2016/03/26,breakfast,oatmeal,\ne21174,2016/03/26,lunch,chinese food,\ne21175,2016/03/26,dinner,indian food,\"Layla, Rylee, Avery, Claire, Olivia, Piper, Lydia, Eva, Nevaeh, Hazel, Piper\"\ne21179,2016/03/27,breakfast,peanut-butter-jam,\ne21180,2016/03/27,lunch,chinese food,\"Andrew, Carter, Kayden\"\ne21181,2016/03/27,dinner,sushi,\"Avery, Eva, Hazel\"\ne21187,2016/03/28,breakfast,\"eggs, sausages, and bread\",\ne21188,2016/03/28,lunch,sandwich,\ne21189,2016/03/28,dinner,pasta,\ne21195,2016/03/29,breakfast,pancakes,Kayden\ne21196,2016/03/29,lunch,fish and chips,\"Avery, Jackson\"\ne21197,2016/03/29,dinner,sushi,\ne21203,2016/03/30,breakfast,peanut-butter-jam,\"Hazel, Kinsley, Nora, Piper\"\ne21204,2016/03/30,lunch,sushi,\"Kayden, Emily, Andrew, Carter\"\ne21205,2016/03/30,dinner,sushi,\"Emily, Kayden, Carter\"\ne21210,2016/03/31,breakfast,oatmeal,\ne21211,2016/03/31,lunch,pasta,\ne21212,2016/03/31,dinner,pasta,\ne21218,2016/04/01,breakfast,toast and cheese,Carter\ne21219,2016/04/01,lunch,sandwich,\ne21220,2016/04/01,dinner,indian food,\"Carter, Andrew, Kayden\"\ne21226,2016/04/02,breakfast,pancakes,\ne21227,2016/04/02,lunch,tacos,\ne21228,2016/04/02,dinner,steak,\ne21236,2016/04/03,breakfast,\"eggs, sausages, and bread\",Carter\ne21237,2016/04/03,lunch,fish and chips,Olivia\ne21238,2016/04/03,dinner,steak,\ne21243,2016/04/04,breakfast,toast and cheese,\ne21244,2016/04/04,lunch,a burger,\"Emily, Kayden, Andrew\"\ne21245,2016/04/04,dinner,tacos,\ne21251,2016/04/05,breakfast,toast and cheese,\"Nora, Piper, Olivia, Lydia, Layla, Avery\"\ne21252,2016/04/05,lunch,steak,\ne21253,2016/04/05,dinner,sushi,\ne21260,2016/04/06,breakfast,oatmeal,\ne21261,2016/04/06,lunch,a burger,\ne21262,2016/04/06,dinner,sandwich,\ne21270,2016/04/07,breakfast,cereals,\"Emily, Kayden, Andrew, Carter\"\ne21271,2016/04/07,lunch,sandwich,\ne21272,2016/04/07,dinner,sushi,\"Avery, Kinsley, Piper, Nora, Hazel, Lydia, Claire, Rylee, Layla, Nevaeh, Piper, Eva, Olivia\"\ne21279,2016/04/08,breakfast,\"eggs, sausages, and bread\",\ne21280,2016/04/08,lunch,fish and chips,\"Claire, Kinsley, Piper, Avery, Rylee, Piper, Olivia, Hazel, Layla\"\ne21281,2016/04/08,dinner,fish and chips,\"Emily, Carter\"\ne21288,2016/04/09,breakfast,pancakes,\ne21289,2016/04/09,lunch,indian food,\ne21290,2016/04/09,dinner,fish and chips,\ne21297,2016/04/10,breakfast,\"eggs, sausages, and bread\",\ne21298,2016/04/10,lunch,pasta,\ne21299,2016/04/10,dinner,sandwich,\"Andrew, Kayden, Carter, Emily\"\ne21306,2016/04/11,breakfast,oatmeal,\"Nora, Layla, Rylee, Avery, Kinsley, Piper\"\ne21307,2016/04/11,lunch,pasta,\"Kayden, Carter, Andrew, Emily\"\ne21308,2016/04/11,dinner,fish and chips,\ne21315,2016/04/12,breakfast,\"eggs, sausages, and bread\",\"Avery, Piper, Olivia, Nevaeh, Layla, Piper, Lydia, Kinsley, Claire, Rylee, Eva\"\ne21316,2016/04/12,lunch,steak,\"Andrew, Carter, Kayden\"\ne21317,2016/04/12,dinner,a burger,\ne21325,2016/04/13,breakfast,cereals,\ne21326,2016/04/13,lunch,sushi,\ne21327,2016/04/13,dinner,a burger,\ne21333,2016/04/14,breakfast,peanut-butter-jam,\"Hazel, Piper, Piper, Nora, Avery, Claire, Olivia, Eva, Rylee, Lydia, Nevaeh, Layla, Kinsley\"\ne21334,2016/04/14,lunch,pasta,\ne21335,2016/04/14,dinner,sandwich,\ne21342,2016/04/15,breakfast,toast and cheese,\ne21343,2016/04/15,lunch,sushi,\"Andrew, Emily\"\ne21344,2016/04/15,dinner,chinese food,\"Jackson, Willow\"\ne21351,2016/04/16,breakfast,toast and cheese,Piper\ne21352,2016/04/16,lunch,tacos,Jackson\ne21353,2016/04/16,dinner,pasta,\ne21361,2016/04/17,breakfast,toast and cheese,\"Olivia, Piper, Nevaeh, Avery, Claire, Eva, Layla, Nora, Piper, Kinsley, Rylee, Hazel, Lydia\"\ne21362,2016/04/17,lunch,steak,\ne21363,2016/04/17,dinner,sandwich,\ne21370,2016/04/18,breakfast,cereals,\ne21371,2016/04/18,lunch,steak,\"Benjamin, Willow, Jackson\"\ne21372,2016/04/18,dinner,steak,\ne21379,2016/04/19,breakfast,oatmeal,\ne21380,2016/04/19,lunch,a burger,\ne21381,2016/04/19,dinner,pasta,\"Kayden, Andrew, Carter\"\ne21389,2016/04/20,breakfast,\"eggs, sausages, and bread\",\ne21390,2016/04/20,lunch,steak,\"Piper, Olivia, Nevaeh, Lydia, Layla, Avery, Eva, Kinsley, Hazel, Piper, Rylee, Nora\"\ne21391,2016/04/20,dinner,indian food,Kayden\ne21397,2016/04/21,breakfast,\"eggs, sausages, and bread\",\ne21398,2016/04/21,lunch,chinese food,\ne21399,2016/04/21,dinner,sushi,\"Emily, Carter, Andrew\"\ne21406,2016/04/22,breakfast,\"eggs, sausages, and bread\",\ne21407,2016/04/22,lunch,fish and chips,\ne21408,2016/04/22,dinner,sandwich,Avery\ne21415,2016/04/23,breakfast,\"eggs, sausages, and bread\",\ne21416,2016/04/23,lunch,fish and chips,\ne21417,2016/04/23,dinner,sandwich,\ne21425,2016/04/24,breakfast,oatmeal,\ne21426,2016/04/24,lunch,pasta,\ne21427,2016/04/24,dinner,sandwich,\"Eva, Olivia\"\ne21433,2016/04/25,breakfast,toast and cheese,\ne21434,2016/04/25,lunch,chinese food,\ne21435,2016/04/25,dinner,a burger,Rylee\ne21442,2016/04/26,breakfast,peanut-butter-jam,\"Hazel, Eva, Piper, Olivia, Rylee, Nevaeh, Lydia, Avery\"\ne21443,2016/04/26,lunch,sushi,\"Claire, Piper\"\ne21444,2016/04/26,dinner,indian food,\ne21450,2016/04/27,breakfast,pancakes,\ne21451,2016/04/27,lunch,sandwich,Benjamin\ne21452,2016/04/27,dinner,chinese food,\ne21457,2016/04/28,breakfast,cereals,\ne21458,2016/04/28,lunch,fish and chips,\ne21459,2016/04/28,dinner,pasta,\"Emily, Carter, Andrew\"\ne21466,2016/04/29,breakfast,peanut-butter-jam,\"Avery, Olivia, Kinsley, Lydia, Eva\"\ne21467,2016/04/29,lunch,a burger,\ne21468,2016/04/29,dinner,indian food,\ne21474,2016/04/30,breakfast,\"eggs, sausages, and bread\",\"Jackson, Benjamin, Willow\"\ne21475,2016/04/30,lunch,a burger,\ne21476,2016/04/30,dinner,tacos,\ne21481,2016/05/01,breakfast,\"eggs, sausages, and bread\",\ne21482,2016/05/01,lunch,sandwich,\"Kinsley, Lydia, Layla, Nevaeh, Claire\"\ne21483,2016/05/01,dinner,chinese food,\"Benjamin, Willow, Jackson\"\ne21490,2016/05/02,breakfast,toast and cheese,\ne21491,2016/05/02,lunch,sandwich,\"Nevaeh, Eva, Avery, Hazel, Rylee, Claire, Olivia, Piper, Lydia, Kinsley, Nora, Layla\"\ne21492,2016/05/02,dinner,indian food,\"Avery, Willow\"\ne21499,2016/05/03,breakfast,toast and cheese,\ne21500,2016/05/03,lunch,tacos,\ne21501,2016/05/03,dinner,pasta,\ne21509,2016/05/04,breakfast,\"eggs, sausages, and bread\",\ne21510,2016/05/04,lunch,pasta,\ne21511,2016/05/04,dinner,sandwich,\ne21518,2016/05/05,breakfast,pancakes,\ne21519,2016/05/05,lunch,indian food,\ne21520,2016/05/05,dinner,a burger,\ne21527,2016/05/06,breakfast,oatmeal,\ne21528,2016/05/06,lunch,steak,\ne21529,2016/05/06,dinner,steak,\ne21536,2016/05/07,breakfast,cereals,\ne21537,2016/05/07,lunch,pasta,\"Kayden, Emily\"\ne21538,2016/05/07,dinner,tacos,\"Rylee, Avery, Piper, Claire, Lydia, Nevaeh, Nora, Piper, Hazel, Olivia, Eva, Layla\"\ne21546,2016/05/08,breakfast,oatmeal,\ne21547,2016/05/08,lunch,tacos,\ne21548,2016/05/08,dinner,indian food,\ne21554,2016/05/09,breakfast,oatmeal,\"Carter, Kayden\"\ne21555,2016/05/09,lunch,fish and chips,\ne21556,2016/05/09,dinner,a burger,\ne21562,2016/05/10,breakfast,toast and cheese,\"Benjamin, Avery\"\ne21563,2016/05/10,lunch,sushi,\ne21564,2016/05/10,dinner,indian food,\"Emily, Kayden\"\ne21572,2016/05/11,breakfast,\"eggs, sausages, and bread\",\ne21573,2016/05/11,lunch,sandwich,\ne21574,2016/05/11,dinner,pasta,\ne21581,2016/05/12,breakfast,peanut-butter-jam,Claire\ne21582,2016/05/12,lunch,chinese food,\"Kayden, Carter\"\ne21583,2016/05/12,dinner,sushi,\"Andrew, Carter, Kayden, Emily\"\ne21589,2016/05/13,breakfast,peanut-butter-jam,\"Andrew, Emily, Carter, Kayden\"\ne21590,2016/05/13,lunch,pasta,\"Carter, Kayden\"\ne21591,2016/05/13,dinner,sushi,\"Emily, Kayden\"\ne21599,2016/05/14,breakfast,pancakes,\ne21600,2016/05/14,lunch,steak,\"Kayden, Emily, Carter, Andrew\"\ne21601,2016/05/14,dinner,sandwich,\ne21607,2016/05/15,breakfast,cereals,\ne21608,2016/05/15,lunch,a burger,\"Avery, Lydia, Nora, Eva, Layla, Claire\"\ne21609,2016/05/15,dinner,steak,\"Carter, Kayden\"\ne21614,2016/05/16,breakfast,oatmeal,\"Nora, Rylee, Nevaeh, Olivia, Lydia, Hazel\"\ne21615,2016/05/16,lunch,a burger,\"Benjamin, Willow, Jackson\"\ne21616,2016/05/16,dinner,sandwich,\ne21623,2016/05/17,breakfast,pancakes,\ne21624,2016/05/17,lunch,fish and chips,\ne21625,2016/05/17,dinner,a burger,\"Eva, Olivia, Nora, Kinsley, Avery, Layla\"\ne21632,2016/05/18,breakfast,cereals,\ne21633,2016/05/18,lunch,sandwich,Willow\ne21634,2016/05/18,dinner,steak,\ne21641,2016/05/19,breakfast,cereals,\ne21642,2016/05/19,lunch,sushi,\ne21643,2016/05/19,dinner,pasta,\ne21649,2016/05/20,breakfast,\"eggs, sausages, and bread\",\ne21650,2016/05/20,lunch,sandwich,\ne21651,2016/05/20,dinner,pasta,Andrew\ne21657,2016/05/21,breakfast,toast and cheese,\ne21658,2016/05/21,lunch,chinese food,\ne21659,2016/05/21,dinner,a burger,\ne21667,2016/05/22,breakfast,cereals,\ne21668,2016/05/22,lunch,steak,\ne21669,2016/05/22,dinner,chinese food,\ne21676,2016/05/23,breakfast,\"eggs, sausages, and bread\",\ne21677,2016/05/23,lunch,fish and chips,\"Claire, Lydia, Nevaeh, Avery, Nora\"\ne21678,2016/05/23,dinner,sandwich,\ne21685,2016/05/24,breakfast,oatmeal,\ne21686,2016/05/24,lunch,pasta,\"Eva, Olivia, Kinsley, Avery, Hazel\"\ne21687,2016/05/24,dinner,pasta,\ne21693,2016/05/25,breakfast,pancakes,\"Kayden, Emily, Andrew, Carter\"\ne21694,2016/05/25,lunch,chinese food,\"Emily, Kayden, Andrew, Carter\"\ne21695,2016/05/25,dinner,a burger,\ne21702,2016/05/26,breakfast,toast and cheese,\ne21703,2016/05/26,lunch,indian food,\"Nora, Avery, Layla, Hazel, Olivia, Eva, Nevaeh, Lydia, Rylee, Kinsley, Claire, Piper\"\ne21704,2016/05/26,dinner,pasta,\ne21710,2016/05/27,breakfast,oatmeal,\"Emily, Carter, Andrew, Kayden\"\ne21711,2016/05/27,lunch,indian food,\ne21712,2016/05/27,dinner,sushi,\ne21718,2016/05/28,breakfast,peanut-butter-jam,\"Avery, Hazel, Piper, Nevaeh, Olivia, Piper, Kinsley, Layla\"\ne21719,2016/05/28,lunch,steak,Andrew\ne21720,2016/05/28,dinner,pasta,\ne21727,2016/05/29,breakfast,peanut-butter-jam,\ne21728,2016/05/29,lunch,a burger,\ne21729,2016/05/29,dinner,indian food,\"Benjamin, Jackson\"\ne21735,2016/05/30,breakfast,oatmeal,\"Kinsley, Piper, Eva\"\ne21736,2016/05/30,lunch,sushi,\ne21737,2016/05/30,dinner,tacos,\ne21741,2016/05/31,breakfast,\"eggs, sausages, and bread\",\ne21742,2016/05/31,lunch,chinese food,\ne21743,2016/05/31,dinner,pasta,\"Avery, Willow, Benjamin, Jackson\"\ne21749,2016/06/01,breakfast,oatmeal,\"Emily, Andrew\"\ne21750,2016/06/01,lunch,steak,\ne21751,2016/06/01,dinner,sushi,\"Piper, Layla, Kinsley, Hazel, Avery, Nora, Rylee\"\ne21758,2016/06/02,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden\"\ne21759,2016/06/02,lunch,indian food,Carter\ne21760,2016/06/02,dinner,steak,\"Carter, Andrew\"\ne21767,2016/06/03,breakfast,oatmeal,\"Emily, Kayden, Carter, Andrew\"\ne21768,2016/06/03,lunch,steak,\ne21769,2016/06/03,dinner,pasta,\"Carter, Kayden, Andrew\"\ne21776,2016/06/04,breakfast,toast and cheese,\"Piper, Olivia, Layla, Piper, Rylee, Avery, Nora, Eva, Kinsley, Lydia, Claire, Nevaeh\"\ne21777,2016/06/04,lunch,sandwich,\ne21778,2016/06/04,dinner,a burger,\ne21786,2016/06/05,breakfast,toast and cheese,\ne21787,2016/06/05,lunch,tacos,\"Rylee, Avery, Hazel, Piper, Claire, Layla, Piper, Kinsley, Nevaeh, Olivia, Nora, Lydia, Eva\"\ne21788,2016/06/05,dinner,sushi,Andrew\ne21795,2016/06/06,breakfast,cereals,\ne21796,2016/06/06,lunch,indian food,\ne21797,2016/06/06,dinner,pasta,\ne21803,2016/06/07,breakfast,cereals,\ne21804,2016/06/07,lunch,indian food,\ne21805,2016/06/07,dinner,a burger,\"Carter, Emily, Kayden, Andrew\"\ne21812,2016/06/08,breakfast,oatmeal,\ne21813,2016/06/08,lunch,steak,\ne21814,2016/06/08,dinner,sandwich,\ne21820,2016/06/09,breakfast,peanut-butter-jam,\ne21821,2016/06/09,lunch,a burger,\ne21822,2016/06/09,dinner,chinese food,\ne21828,2016/06/10,breakfast,\"eggs, sausages, and bread\",\ne21829,2016/06/10,lunch,chinese food,\ne21830,2016/06/10,dinner,steak,\"Carter, Andrew, Kayden, Emily\"\ne21838,2016/06/11,breakfast,toast and cheese,\"Kayden, Andrew, Emily, Carter\"\ne21839,2016/06/11,lunch,chinese food,\"Nora, Lydia, Hazel, Claire, Layla, Eva, Piper, Nevaeh, Kinsley, Olivia, Avery\"\ne21840,2016/06/11,dinner,sushi,\"Kayden, Andrew\"\ne21846,2016/06/12,breakfast,toast and cheese,\ne21847,2016/06/12,lunch,steak,\ne21848,2016/06/12,dinner,tacos,\ne21856,2016/06/13,breakfast,peanut-butter-jam,\"Emily, Carter, Andrew\"\ne21857,2016/06/13,lunch,chinese food,\ne21858,2016/06/13,dinner,indian food,\"Avery, Willow\"\ne21864,2016/06/14,breakfast,toast and cheese,\ne21865,2016/06/14,lunch,sushi,\ne21866,2016/06/14,dinner,sandwich,Carter\ne21872,2016/06/15,breakfast,oatmeal,\"Andrew, Kayden, Emily\"\ne21873,2016/06/15,lunch,chinese food,\"Avery, Jackson, Benjamin, Willow\"\ne21874,2016/06/15,dinner,fish and chips,\ne21879,2016/06/16,breakfast,toast and cheese,\ne21880,2016/06/16,lunch,sushi,\ne21881,2016/06/16,dinner,sandwich,\ne21888,2016/06/17,breakfast,peanut-butter-jam,\"Kayden, Emily, Andrew\"\ne21889,2016/06/17,lunch,tacos,\ne21890,2016/06/17,dinner,pasta,\ne21897,2016/06/18,breakfast,toast and cheese,\"Piper, Lydia, Avery, Claire, Piper, Kinsley\"\ne21898,2016/06/18,lunch,steak,\ne21899,2016/06/18,dinner,chinese food,\ne21907,2016/06/19,breakfast,pancakes,\ne21908,2016/06/19,lunch,chinese food,\ne21909,2016/06/19,dinner,steak,\ne21914,2016/06/20,breakfast,toast and cheese,Carter\ne21915,2016/06/20,lunch,chinese food,\"Eva, Nevaeh\"\ne21916,2016/06/20,dinner,indian food,\"Kayden, Emily, Andrew, Carter\"\ne21922,2016/06/21,breakfast,toast and cheese,\"Carter, Kayden\"\ne21923,2016/06/21,lunch,fish and chips,\"Emily, Kayden, Carter, Andrew\"\ne21924,2016/06/21,dinner,steak,\ne21930,2016/06/22,breakfast,\"eggs, sausages, and bread\",\ne21931,2016/06/22,lunch,fish and chips,\"Kinsley, Hazel, Nevaeh\"\ne21932,2016/06/22,dinner,indian food,\ne21939,2016/06/23,breakfast,cereals,\ne21940,2016/06/23,lunch,steak,\ne21941,2016/06/23,dinner,sushi,\ne21949,2016/06/24,breakfast,oatmeal,Kayden\ne21950,2016/06/24,lunch,tacos,\ne21951,2016/06/24,dinner,steak,\ne21958,2016/06/25,breakfast,cereals,\ne21959,2016/06/25,lunch,chinese food,\"Nevaeh, Piper, Claire, Lydia, Olivia, Kinsley, Hazel, Piper, Avery\"\ne21960,2016/06/25,dinner,sandwich,\ne21967,2016/06/26,breakfast,pancakes,\"Kayden, Carter, Emily\"\ne21968,2016/06/26,lunch,sushi,\ne21969,2016/06/26,dinner,chinese food,\"Lydia, Avery, Kinsley\"\ne21977,2016/06/27,breakfast,\"eggs, sausages, and bread\",\ne21978,2016/06/27,lunch,chinese food,\ne21979,2016/06/27,dinner,indian food,\ne21986,2016/06/28,breakfast,oatmeal,\"Kayden, Emily, Carter\"\ne21987,2016/06/28,lunch,tacos,\ne21988,2016/06/28,dinner,a burger,\ne21995,2016/06/29,breakfast,toast and cheese,\ne21996,2016/06/29,lunch,indian food,Eva\ne21997,2016/06/29,dinner,sushi,\ne22002,2016/06/30,breakfast,peanut-butter-jam,\"Eva, Nora, Claire, Hazel, Lydia, Piper, Avery, Olivia, Rylee, Kinsley, Piper, Layla\"\ne22003,2016/06/30,lunch,fish and chips,\ne22004,2016/06/30,dinner,sushi,\ne22011,2016/07/01,breakfast,cereals,\ne22012,2016/07/01,lunch,tacos,\"Benjamin, Avery, Jackson, Willow\"\ne22013,2016/07/01,dinner,indian food,\ne22021,2016/07/02,breakfast,toast and cheese,\ne22022,2016/07/02,lunch,chinese food,\"Piper, Kinsley, Nevaeh, Eva, Nora, Layla, Claire\"\ne22023,2016/07/02,dinner,chinese food,\ne22029,2016/07/03,breakfast,\"eggs, sausages, and bread\",\"Kinsley, Eva, Claire, Nora, Nevaeh, Hazel, Layla, Olivia, Piper, Piper, Avery, Lydia\"\ne22030,2016/07/03,lunch,steak,\ne22031,2016/07/03,dinner,sandwich,\"Jackson, Avery, Willow, Benjamin\"\ne22038,2016/07/04,breakfast,oatmeal,\ne22039,2016/07/04,lunch,tacos,\"Eva, Layla, Nora, Piper, Kinsley, Rylee, Lydia, Piper, Nevaeh, Olivia, Avery, Claire, Hazel\"\ne22040,2016/07/04,dinner,pasta,\ne22045,2016/07/05,breakfast,peanut-butter-jam,\"Lydia, Piper, Eva, Kinsley, Piper, Hazel, Olivia, Nevaeh, Layla, Claire\"\ne22046,2016/07/05,lunch,sandwich,\ne22047,2016/07/05,dinner,fish and chips,\"Kayden, Carter, Emily\"\ne22054,2016/07/06,breakfast,pancakes,\ne22055,2016/07/06,lunch,pasta,\ne22056,2016/07/06,dinner,chinese food,\"Avery, Willow, Jackson, Benjamin\"\ne22064,2016/07/07,breakfast,cereals,\ne22065,2016/07/07,lunch,indian food,\"Avery, Willow\"\ne22066,2016/07/07,dinner,sushi,\"Nora, Eva, Claire, Piper, Nevaeh, Hazel, Rylee, Lydia, Piper, Kinsley, Avery, Olivia\"\ne22073,2016/07/08,breakfast,cereals,\ne22074,2016/07/08,lunch,fish and chips,\ne22075,2016/07/08,dinner,a burger,\ne22081,2016/07/09,breakfast,peanut-butter-jam,\ne22082,2016/07/09,lunch,chinese food,Piper\ne22083,2016/07/09,dinner,a burger,\ne22090,2016/07/10,breakfast,cereals,\ne22091,2016/07/10,lunch,a burger,Carter\ne22092,2016/07/10,dinner,pasta,\"Hazel, Layla, Nevaeh, Lydia, Piper, Kinsley, Nora, Rylee, Claire, Avery, Eva, Piper, Olivia\"\ne22100,2016/07/11,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter\"\ne22101,2016/07/11,lunch,pasta,\ne22102,2016/07/11,dinner,a burger,\ne22108,2016/07/12,breakfast,oatmeal,\ne22109,2016/07/12,lunch,tacos,\"Nora, Lydia, Kinsley, Piper, Hazel, Olivia, Rylee, Avery, Eva, Claire, Nevaeh, Piper, Layla\"\ne22110,2016/07/12,dinner,sandwich,\ne22116,2016/07/13,breakfast,pancakes,Benjamin\ne22117,2016/07/13,lunch,tacos,\ne22118,2016/07/13,dinner,indian food,\"Kayden, Carter, Andrew, Emily\"\ne22125,2016/07/14,breakfast,pancakes,\ne22126,2016/07/14,lunch,indian food,Andrew\ne22127,2016/07/14,dinner,sushi,\"Claire, Nora, Olivia\"\ne22133,2016/07/15,breakfast,\"eggs, sausages, and bread\",\"Jackson, Willow\"\ne22134,2016/07/15,lunch,tacos,\ne22135,2016/07/15,dinner,pasta,\ne22142,2016/07/16,breakfast,toast and cheese,\ne22143,2016/07/16,lunch,a burger,\ne22144,2016/07/16,dinner,indian food,\"Jackson, Benjamin\"\ne22151,2016/07/17,breakfast,cereals,Andrew\ne22152,2016/07/17,lunch,sushi,\ne22153,2016/07/17,dinner,pasta,\ne22159,2016/07/18,breakfast,toast and cheese,\ne22160,2016/07/18,lunch,sandwich,\ne22161,2016/07/18,dinner,a burger,\ne22167,2016/07/19,breakfast,cereals,Carter\ne22168,2016/07/19,lunch,sandwich,\ne22169,2016/07/19,dinner,chinese food,\ne22176,2016/07/20,breakfast,pancakes,\ne22177,2016/07/20,lunch,a burger,\"Olivia, Nora, Nevaeh, Avery\"\ne22178,2016/07/20,dinner,sandwich,\ne22183,2016/07/21,breakfast,\"eggs, sausages, and bread\",Kayden\ne22184,2016/07/21,lunch,chinese food,\"Andrew, Kayden, Carter, Emily\"\ne22185,2016/07/21,dinner,fish and chips,\"Emily, Kayden, Andrew, Carter\"\ne22190,2016/07/22,breakfast,pancakes,\ne22191,2016/07/22,lunch,steak,\ne22192,2016/07/22,dinner,sushi,\ne22199,2016/07/23,breakfast,oatmeal,\"Rylee, Hazel, Lydia, Claire, Layla, Nevaeh, Olivia, Piper, Nora, Avery, Eva\"\ne22200,2016/07/23,lunch,sushi,\"Kayden, Carter, Emily, Andrew\"\ne22201,2016/07/23,dinner,a burger,\"Hazel, Piper, Claire, Piper, Kinsley, Nora, Layla, Lydia, Nevaeh, Olivia, Eva\"\ne22208,2016/07/24,breakfast,peanut-butter-jam,\ne22209,2016/07/24,lunch,a burger,\"Kayden, Andrew\"\ne22210,2016/07/24,dinner,indian food,\"Carter, Emily\"\ne22218,2016/07/25,breakfast,\"eggs, sausages, and bread\",\ne22219,2016/07/25,lunch,sandwich,\ne22220,2016/07/25,dinner,fish and chips,\ne22228,2016/07/26,breakfast,cereals,\ne22229,2016/07/26,lunch,indian food,\ne22230,2016/07/26,dinner,steak,\"Eva, Avery, Lydia, Nora, Rylee, Kinsley, Piper, Olivia, Nevaeh, Piper, Claire, Hazel, Layla\"\ne22236,2016/07/27,breakfast,oatmeal,\ne22237,2016/07/27,lunch,indian food,\"Nevaeh, Hazel, Piper, Layla, Nora, Rylee, Olivia, Avery, Piper, Claire, Eva, Kinsley\"\ne22238,2016/07/27,dinner,chinese food,\ne22245,2016/07/28,breakfast,\"eggs, sausages, and bread\",\ne22246,2016/07/28,lunch,pasta,\ne22247,2016/07/28,dinner,chinese food,\ne22253,2016/07/29,breakfast,\"eggs, sausages, and bread\",\ne22254,2016/07/29,lunch,chinese food,\"Emily, Carter, Andrew\"\ne22255,2016/07/29,dinner,tacos,\"Piper, Nevaeh, Claire, Eva, Piper, Nora, Hazel, Rylee, Lydia, Avery\"\ne22260,2016/07/30,breakfast,peanut-butter-jam,\ne22261,2016/07/30,lunch,sushi,\ne22262,2016/07/30,dinner,indian food,Avery\ne22268,2016/07/31,breakfast,cereals,\ne22269,2016/07/31,lunch,a burger,\ne22270,2016/07/31,dinner,pasta,\ne22278,2016/08/01,breakfast,peanut-butter-jam,\ne22279,2016/08/01,lunch,sandwich,\ne22280,2016/08/01,dinner,fish and chips,\ne22285,2016/08/02,breakfast,oatmeal,\"Avery, Benjamin, Willow, Jackson\"\ne22286,2016/08/02,lunch,chinese food,\ne22287,2016/08/02,dinner,fish and chips,\ne22294,2016/08/03,breakfast,peanut-butter-jam,Kayden\ne22295,2016/08/03,lunch,sushi,\ne22296,2016/08/03,dinner,chinese food,\"Willow, Benjamin, Jackson\"\ne22302,2016/08/04,breakfast,toast and cheese,\ne22303,2016/08/04,lunch,fish and chips,\ne22304,2016/08/04,dinner,fish and chips,\"Andrew, Kayden, Emily\"\ne22310,2016/08/05,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew\"\ne22311,2016/08/05,lunch,fish and chips,\"Piper, Olivia, Piper, Rylee, Nevaeh, Hazel, Nora, Avery, Lydia, Claire, Kinsley, Eva, Layla\"\ne22312,2016/08/05,dinner,sushi,\"Carter, Emily, Kayden\"\ne22318,2016/08/06,breakfast,oatmeal,\"Emily, Carter, Andrew\"\ne22319,2016/08/06,lunch,steak,\ne22320,2016/08/06,dinner,a burger,\ne22328,2016/08/07,breakfast,pancakes,\ne22329,2016/08/07,lunch,sushi,\"Nora, Eva, Claire, Layla, Nevaeh, Olivia, Piper, Rylee, Lydia, Kinsley\"\ne22330,2016/08/07,dinner,steak,\ne22336,2016/08/08,breakfast,cereals,\ne22337,2016/08/08,lunch,sandwich,\"Benjamin, Jackson\"\ne22338,2016/08/08,dinner,chinese food,\ne22345,2016/08/09,breakfast,pancakes,\"Kayden, Carter\"\ne22346,2016/08/09,lunch,chinese food,\ne22347,2016/08/09,dinner,pasta,\"Eva, Lydia, Layla, Piper, Claire\"\ne22353,2016/08/10,breakfast,cereals,\"Kayden, Andrew\"\ne22354,2016/08/10,lunch,chinese food,\ne22355,2016/08/10,dinner,chinese food,\"Benjamin, Avery, Willow, Jackson\"\ne22362,2016/08/11,breakfast,toast and cheese,\ne22363,2016/08/11,lunch,sandwich,\"Eva, Claire, Olivia, Layla, Avery, Hazel, Nevaeh, Kinsley\"\ne22364,2016/08/11,dinner,sushi,\"Emily, Andrew, Carter, Kayden\"\ne22369,2016/08/12,breakfast,oatmeal,\"Emily, Kayden, Carter, Andrew\"\ne22370,2016/08/12,lunch,sandwich,\ne22371,2016/08/12,dinner,steak,\ne22378,2016/08/13,breakfast,toast and cheese,\ne22379,2016/08/13,lunch,pasta,\ne22380,2016/08/13,dinner,fish and chips,\"Willow, Avery, Benjamin, Jackson\"\ne22386,2016/08/14,breakfast,oatmeal,\"Layla, Nora, Nevaeh, Claire, Kinsley, Avery\"\ne22387,2016/08/14,lunch,chinese food,\"Jackson, Willow, Benjamin, Avery\"\ne22388,2016/08/14,dinner,pasta,\ne22395,2016/08/15,breakfast,peanut-butter-jam,\ne22396,2016/08/15,lunch,pasta,\"Emily, Kayden\"\ne22397,2016/08/15,dinner,pasta,\ne22404,2016/08/16,breakfast,toast and cheese,\ne22405,2016/08/16,lunch,sandwich,Andrew\ne22406,2016/08/16,dinner,chinese food,\ne22413,2016/08/17,breakfast,oatmeal,\"Eva, Kinsley, Nora, Layla, Nevaeh, Hazel, Piper, Lydia\"\ne22414,2016/08/17,lunch,sushi,\ne22415,2016/08/17,dinner,a burger,\ne22423,2016/08/18,breakfast,\"eggs, sausages, and bread\",\"Olivia, Hazel, Nora, Lydia, Kinsley, Piper\"\ne22424,2016/08/18,lunch,fish and chips,\ne22425,2016/08/18,dinner,a burger,\"Lydia, Piper, Layla, Olivia, Avery\"\ne22432,2016/08/19,breakfast,toast and cheese,\"Kayden, Carter, Andrew, Emily\"\ne22433,2016/08/19,lunch,indian food,\ne22434,2016/08/19,dinner,sandwich,\ne22440,2016/08/20,breakfast,\"eggs, sausages, and bread\",\ne22441,2016/08/20,lunch,pasta,\ne22442,2016/08/20,dinner,fish and chips,Kayden\ne22449,2016/08/21,breakfast,pancakes,\ne22450,2016/08/21,lunch,steak,\ne22451,2016/08/21,dinner,sushi,\"Jackson, Avery, Willow, Benjamin\"\ne22458,2016/08/22,breakfast,\"eggs, sausages, and bread\",\ne22459,2016/08/22,lunch,indian food,\"Carter, Emily\"\ne22460,2016/08/22,dinner,tacos,\ne22467,2016/08/23,breakfast,toast and cheese,Emily\ne22468,2016/08/23,lunch,sandwich,\"Emily, Andrew, Carter\"\ne22469,2016/08/23,dinner,a burger,\ne22475,2016/08/24,breakfast,oatmeal,\ne22476,2016/08/24,lunch,indian food,\ne22477,2016/08/24,dinner,pasta,\ne22484,2016/08/25,breakfast,\"eggs, sausages, and bread\",\"Andrew, Emily, Kayden, Carter\"\ne22485,2016/08/25,lunch,chinese food,\ne22486,2016/08/25,dinner,pasta,\ne22492,2016/08/26,breakfast,toast and cheese,\ne22493,2016/08/26,lunch,steak,\ne22494,2016/08/26,dinner,fish and chips,\ne22499,2016/08/27,breakfast,pancakes,\"Willow, Avery, Jackson, Benjamin\"\ne22500,2016/08/27,lunch,a burger,Emily\ne22501,2016/08/27,dinner,sandwich,\ne22507,2016/08/28,breakfast,toast and cheese,\"Carter, Emily, Andrew, Kayden\"\ne22508,2016/08/28,lunch,a burger,Olivia\ne22509,2016/08/28,dinner,chinese food,\"Nevaeh, Piper, Nora, Piper, Layla, Rylee, Olivia, Lydia, Kinsley, Hazel\"\ne22516,2016/08/29,breakfast,peanut-butter-jam,\ne22517,2016/08/29,lunch,tacos,\"Nevaeh, Avery, Piper\"\ne22518,2016/08/29,dinner,indian food,\ne22524,2016/08/30,breakfast,cereals,\ne22525,2016/08/30,lunch,indian food,\ne22526,2016/08/30,dinner,sandwich,\ne22533,2016/08/31,breakfast,peanut-butter-jam,\ne22534,2016/08/31,lunch,steak,\ne22535,2016/08/31,dinner,steak,\ne22541,2016/09/01,breakfast,pancakes,\ne22542,2016/09/01,lunch,chinese food,\"Lydia, Rylee, Olivia, Claire, Nevaeh, Nora, Kinsley, Piper, Avery, Eva, Layla, Piper\"\ne22543,2016/09/01,dinner,tacos,\"Eva, Kinsley, Rylee, Lydia, Olivia, Avery, Nevaeh, Piper, Nora, Piper\"\ne22550,2016/09/02,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden\"\ne22551,2016/09/02,lunch,sandwich,\ne22552,2016/09/02,dinner,pasta,\ne22559,2016/09/03,breakfast,peanut-butter-jam,\ne22560,2016/09/03,lunch,tacos,\ne22561,2016/09/03,dinner,chinese food,Emily\ne22568,2016/09/04,breakfast,cereals,\ne22569,2016/09/04,lunch,indian food,\"Kayden, Carter, Emily\"\ne22570,2016/09/04,dinner,sandwich,\"Hazel, Claire, Nora, Olivia, Piper, Layla, Rylee, Nevaeh, Piper, Eva, Kinsley, Avery, Lydia\"\ne22577,2016/09/05,breakfast,peanut-butter-jam,\"Willow, Jackson, Benjamin, Avery\"\ne22578,2016/09/05,lunch,chinese food,\"Emily, Carter, Kayden\"\ne22579,2016/09/05,dinner,steak,\"Emily, Kayden, Andrew\"\ne22587,2016/09/06,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden, Carter, Andrew\"\ne22588,2016/09/06,lunch,tacos,\ne22589,2016/09/06,dinner,tacos,\"Kayden, Carter, Andrew\"\ne22596,2016/09/07,breakfast,oatmeal,\ne22597,2016/09/07,lunch,pasta,\"Kayden, Carter, Emily\"\ne22598,2016/09/07,dinner,steak,\"Kayden, Emily, Andrew, Carter\"\ne22604,2016/09/08,breakfast,pancakes,\ne22605,2016/09/08,lunch,sandwich,Willow\ne22606,2016/09/08,dinner,sushi,\ne22614,2016/09/09,breakfast,toast and cheese,\"Andrew, Carter, Emily, Kayden\"\ne22615,2016/09/09,lunch,steak,\"Emily, Carter\"\ne22616,2016/09/09,dinner,indian food,\"Emily, Kayden, Carter, Andrew\"\ne22623,2016/09/10,breakfast,pancakes,\"Carter, Kayden\"\ne22624,2016/09/10,lunch,a burger,\ne22625,2016/09/10,dinner,sandwich,\ne22632,2016/09/11,breakfast,peanut-butter-jam,\ne22633,2016/09/11,lunch,steak,Emily\ne22634,2016/09/11,dinner,a burger,\ne22642,2016/09/12,breakfast,pancakes,\ne22643,2016/09/12,lunch,steak,\ne22644,2016/09/12,dinner,a burger,Emily\ne22651,2016/09/13,breakfast,\"eggs, sausages, and bread\",\"Layla, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Hazel, Piper\"\ne22652,2016/09/13,lunch,pasta,\ne22653,2016/09/13,dinner,chinese food,\ne22660,2016/09/14,breakfast,pancakes,\"Nevaeh, Piper, Nora, Kinsley, Piper, Claire, Hazel, Eva\"\ne22661,2016/09/14,lunch,chinese food,\ne22662,2016/09/14,dinner,chinese food,\"Carter, Kayden\"\ne22668,2016/09/15,breakfast,toast and cheese,\ne22669,2016/09/15,lunch,fish and chips,\ne22670,2016/09/15,dinner,sushi,\ne22676,2016/09/16,breakfast,toast and cheese,\"Avery, Benjamin, Willow\"\ne22677,2016/09/16,lunch,a burger,\"Avery, Claire, Lydia, Rylee, Olivia, Kinsley, Nora, Piper, Eva, Layla, Hazel, Piper, Nevaeh\"\ne22678,2016/09/16,dinner,fish and chips,\ne22685,2016/09/17,breakfast,pancakes,\"Nora, Claire, Kinsley, Piper, Piper, Eva, Lydia\"\ne22686,2016/09/17,lunch,indian food,\ne22687,2016/09/17,dinner,pasta,\ne22693,2016/09/18,breakfast,\"eggs, sausages, and bread\",Andrew\ne22694,2016/09/18,lunch,steak,\ne22695,2016/09/18,dinner,fish and chips,\ne22702,2016/09/19,breakfast,oatmeal,\ne22703,2016/09/19,lunch,a burger,\ne22704,2016/09/19,dinner,fish and chips,\ne22711,2016/09/20,breakfast,pancakes,\ne22712,2016/09/20,lunch,a burger,\"Jackson, Willow, Avery, Benjamin\"\ne22713,2016/09/20,dinner,pasta,\ne22721,2016/09/21,breakfast,peanut-butter-jam,\ne22722,2016/09/21,lunch,tacos,\ne22723,2016/09/21,dinner,steak,\"Avery, Piper, Nevaeh\"\ne22729,2016/09/22,breakfast,peanut-butter-jam,\ne22730,2016/09/22,lunch,sushi,\ne22731,2016/09/22,dinner,a burger,\ne22737,2016/09/23,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew\"\ne22738,2016/09/23,lunch,sushi,\"Carter, Emily, Andrew, Kayden\"\ne22739,2016/09/23,dinner,a burger,\ne22745,2016/09/24,breakfast,\"eggs, sausages, and bread\",\ne22746,2016/09/24,lunch,indian food,\ne22747,2016/09/24,dinner,steak,\ne22753,2016/09/25,breakfast,\"eggs, sausages, and bread\",\"Rylee, Hazel, Piper, Layla, Kinsley, Lydia, Claire\"\ne22754,2016/09/25,lunch,tacos,\"Benjamin, Jackson\"\ne22755,2016/09/25,dinner,indian food,\"Olivia, Claire, Layla, Piper\"\ne22762,2016/09/26,breakfast,cereals,\"Avery, Rylee, Hazel, Lydia, Claire, Nevaeh, Olivia, Piper, Eva, Layla, Piper\"\ne22763,2016/09/26,lunch,tacos,\ne22764,2016/09/26,dinner,indian food,\ne22770,2016/09/27,breakfast,\"eggs, sausages, and bread\",\ne22771,2016/09/27,lunch,sandwich,\"Kayden, Emily, Carter, Andrew\"\ne22772,2016/09/27,dinner,fish and chips,\"Kayden, Emily, Carter\"\ne22779,2016/09/28,breakfast,toast and cheese,\"Avery, Nevaeh, Hazel, Kinsley, Lydia, Olivia, Nora\"\ne22780,2016/09/28,lunch,fish and chips,\"Nora, Claire\"\ne22781,2016/09/28,dinner,chinese food,\"Benjamin, Avery\"\ne22788,2016/09/29,breakfast,peanut-butter-jam,\ne22789,2016/09/29,lunch,tacos,\ne22790,2016/09/29,dinner,fish and chips,\ne22797,2016/09/30,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Andrew\"\ne22798,2016/09/30,lunch,chinese food,\"Andrew, Emily, Kayden, Carter\"\ne22799,2016/09/30,dinner,sandwich,\"Nora, Piper, Claire, Kinsley, Lydia, Avery, Eva\"\ne22806,2016/10/01,breakfast,pancakes,Carter\ne22807,2016/10/01,lunch,steak,Hazel\ne22808,2016/10/01,dinner,a burger,\ne22815,2016/10/02,breakfast,oatmeal,\ne22816,2016/10/02,lunch,fish and chips,\ne22817,2016/10/02,dinner,sandwich,\ne22824,2016/10/03,breakfast,toast and cheese,\"Rylee, Layla, Eva, Piper, Avery, Claire, Kinsley, Piper, Hazel, Nora, Lydia, Nevaeh, Olivia\"\ne22825,2016/10/03,lunch,chinese food,\"Avery, Willow\"\ne22826,2016/10/03,dinner,steak,\ne22832,2016/10/04,breakfast,peanut-butter-jam,\"Andrew, Kayden\"\ne22833,2016/10/04,lunch,chinese food,\"Layla, Piper, Avery, Hazel, Olivia, Eva, Rylee\"\ne22834,2016/10/04,dinner,indian food,\"Carter, Andrew, Emily, Kayden\"\ne22842,2016/10/05,breakfast,peanut-butter-jam,\ne22843,2016/10/05,lunch,a burger,\"Emily, Andrew, Carter, Kayden\"\ne22844,2016/10/05,dinner,a burger,\"Rylee, Lydia, Hazel, Piper, Eva, Kinsley, Piper, Claire, Nevaeh, Olivia, Avery\"\ne22850,2016/10/06,breakfast,peanut-butter-jam,Emily\ne22851,2016/10/06,lunch,sandwich,\ne22852,2016/10/06,dinner,indian food,\ne22859,2016/10/07,breakfast,pancakes,\"Emily, Carter\"\ne22860,2016/10/07,lunch,fish and chips,\"Jackson, Avery, Willow\"\ne22861,2016/10/07,dinner,pasta,\"Carter, Emily, Andrew\"\ne22866,2016/10/08,breakfast,oatmeal,\"Emily, Carter, Andrew, Kayden\"\ne22867,2016/10/08,lunch,a burger,\ne22868,2016/10/08,dinner,sandwich,\"Carter, Emily, Andrew\"\ne22876,2016/10/09,breakfast,toast and cheese,\ne22877,2016/10/09,lunch,steak,\"Kayden, Carter, Emily, Andrew\"\ne22878,2016/10/09,dinner,chinese food,\ne22883,2016/10/10,breakfast,peanut-butter-jam,\ne22884,2016/10/10,lunch,tacos,\"Rylee, Piper, Nevaeh, Olivia, Nora, Piper, Eva, Hazel, Layla, Avery\"\ne22885,2016/10/10,dinner,sandwich,\ne22892,2016/10/11,breakfast,oatmeal,\"Layla, Hazel\"\ne22893,2016/10/11,lunch,pasta,\ne22894,2016/10/11,dinner,pasta,\"Kayden, Emily, Carter, Andrew\"\ne22900,2016/10/12,breakfast,peanut-butter-jam,\"Layla, Nevaeh, Hazel, Lydia, Claire, Nora, Piper, Eva, Piper, Avery, Rylee\"\ne22901,2016/10/12,lunch,a burger,Andrew\ne22902,2016/10/12,dinner,tacos,\"Piper, Rylee, Layla, Lydia, Nora, Olivia, Nevaeh, Claire, Kinsley\"\ne22909,2016/10/13,breakfast,pancakes,\ne22910,2016/10/13,lunch,indian food,\"Layla, Rylee\"\ne22911,2016/10/13,dinner,pasta,\ne22918,2016/10/14,breakfast,\"eggs, sausages, and bread\",\ne22919,2016/10/14,lunch,sushi,\ne22920,2016/10/14,dinner,sandwich,Carter\ne22927,2016/10/15,breakfast,peanut-butter-jam,\"Carter, Emily\"\ne22928,2016/10/15,lunch,indian food,\ne22929,2016/10/15,dinner,sandwich,\ne22936,2016/10/16,breakfast,toast and cheese,\ne22937,2016/10/16,lunch,pasta,\"Andrew, Kayden\"\ne22938,2016/10/16,dinner,fish and chips,\"Emily, Andrew, Kayden\"\ne22945,2016/10/17,breakfast,pancakes,\"Claire, Olivia, Kinsley, Nora, Eva, Lydia, Rylee, Nevaeh, Piper, Layla, Avery\"\ne22946,2016/10/17,lunch,chinese food,\ne22947,2016/10/17,dinner,steak,\ne22952,2016/10/18,breakfast,oatmeal,\ne22953,2016/10/18,lunch,pasta,\ne22954,2016/10/18,dinner,pasta,\ne22960,2016/10/19,breakfast,cereals,\ne22961,2016/10/19,lunch,chinese food,\ne22962,2016/10/19,dinner,sandwich,\ne22969,2016/10/20,breakfast,peanut-butter-jam,Rylee\ne22970,2016/10/20,lunch,sushi,\"Nevaeh, Layla, Avery, Hazel, Lydia, Piper, Nora, Eva, Olivia\"\ne22971,2016/10/20,dinner,chinese food,\ne22978,2016/10/21,breakfast,\"eggs, sausages, and bread\",\ne22979,2016/10/21,lunch,indian food,\ne22980,2016/10/21,dinner,indian food,Emily\ne22986,2016/10/22,breakfast,cereals,\"Avery, Jackson\"\ne22987,2016/10/22,lunch,pasta,\ne22988,2016/10/22,dinner,fish and chips,\ne22996,2016/10/23,breakfast,pancakes,\ne22997,2016/10/23,lunch,indian food,\ne22998,2016/10/23,dinner,steak,\ne23004,2016/10/24,breakfast,pancakes,\ne23005,2016/10/24,lunch,a burger,\ne23006,2016/10/24,dinner,chinese food,\"Avery, Jackson, Benjamin\"\ne23012,2016/10/25,breakfast,oatmeal,\ne23013,2016/10/25,lunch,tacos,\ne23014,2016/10/25,dinner,tacos,\ne23020,2016/10/26,breakfast,cereals,\ne23021,2016/10/26,lunch,indian food,\ne23022,2016/10/26,dinner,indian food,\"Carter, Emily, Andrew, Kayden\"\ne23028,2016/10/27,breakfast,toast and cheese,Avery\ne23029,2016/10/27,lunch,tacos,Andrew\ne23030,2016/10/27,dinner,fish and chips,\"Olivia, Avery, Hazel, Nevaeh, Eva\"\ne23038,2016/10/28,breakfast,\"eggs, sausages, and bread\",\ne23039,2016/10/28,lunch,sandwich,\ne23040,2016/10/28,dinner,indian food,\"Avery, Willow, Jackson\"\ne23047,2016/10/29,breakfast,\"eggs, sausages, and bread\",\ne23048,2016/10/29,lunch,a burger,\ne23049,2016/10/29,dinner,sushi,\ne23056,2016/10/30,breakfast,toast and cheese,\"Kinsley, Olivia, Nora, Hazel, Claire, Eva, Lydia, Piper, Layla, Nevaeh\"\ne23057,2016/10/30,lunch,indian food,\"Olivia, Claire, Piper, Hazel, Nora\"\ne23058,2016/10/30,dinner,sandwich,\"Willow, Jackson\"\ne23064,2016/10/31,breakfast,oatmeal,\"Kayden, Carter, Emily\"\ne23065,2016/10/31,lunch,sushi,\ne23066,2016/10/31,dinner,sandwich,\"Emily, Kayden, Andrew, Carter\"\ne23072,2016/11/01,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily\"\ne23073,2016/11/01,lunch,steak,\"Kayden, Carter, Emily\"\ne23074,2016/11/01,dinner,indian food,\"Kayden, Carter, Andrew\"\ne23080,2016/11/02,breakfast,\"eggs, sausages, and bread\",Andrew\ne23081,2016/11/02,lunch,sandwich,Kayden\ne23082,2016/11/02,dinner,fish and chips,\ne23087,2016/11/03,breakfast,pancakes,\"Piper, Layla, Hazel, Claire, Rylee, Olivia, Eva, Piper, Nora\"\ne23088,2016/11/03,lunch,sandwich,\ne23089,2016/11/03,dinner,indian food,\ne23095,2016/11/04,breakfast,oatmeal,\ne23096,2016/11/04,lunch,tacos,\ne23097,2016/11/04,dinner,indian food,\ne23104,2016/11/05,breakfast,toast and cheese,\"Benjamin, Jackson\"\ne23105,2016/11/05,lunch,chinese food,\ne23106,2016/11/05,dinner,a burger,\"Hazel, Olivia, Layla, Piper, Kinsley, Claire, Eva\"\ne23114,2016/11/06,breakfast,oatmeal,\"Carter, Andrew\"\ne23115,2016/11/06,lunch,tacos,\ne23116,2016/11/06,dinner,tacos,\"Emily, Andrew, Carter\"\ne23124,2016/11/07,breakfast,peanut-butter-jam,\ne23125,2016/11/07,lunch,a burger,\ne23126,2016/11/07,dinner,sushi,\ne23131,2016/11/08,breakfast,toast and cheese,Emily\ne23132,2016/11/08,lunch,sandwich,\ne23133,2016/11/08,dinner,fish and chips,\ne23141,2016/11/09,breakfast,\"eggs, sausages, and bread\",\ne23142,2016/11/09,lunch,sushi,\"Avery, Willow\"\ne23143,2016/11/09,dinner,sandwich,\"Carter, Kayden, Andrew, Emily\"\ne23150,2016/11/10,breakfast,\"eggs, sausages, and bread\",\ne23151,2016/11/10,lunch,indian food,\"Rylee, Lydia, Nevaeh\"\ne23152,2016/11/10,dinner,steak,\ne23158,2016/11/11,breakfast,pancakes,\ne23159,2016/11/11,lunch,pasta,\ne23160,2016/11/11,dinner,steak,\ne23167,2016/11/12,breakfast,toast and cheese,\ne23168,2016/11/12,lunch,fish and chips,\ne23169,2016/11/12,dinner,pasta,\ne23176,2016/11/13,breakfast,oatmeal,\ne23177,2016/11/13,lunch,tacos,\ne23178,2016/11/13,dinner,tacos,Emily\ne23185,2016/11/14,breakfast,pancakes,\"Andrew, Emily, Carter, Kayden\"\ne23186,2016/11/14,lunch,pasta,\"Emily, Kayden, Andrew, Carter\"\ne23187,2016/11/14,dinner,pasta,\"Willow, Jackson, Avery, Benjamin\"\ne23195,2016/11/15,breakfast,toast and cheese,\ne23196,2016/11/15,lunch,pasta,\ne23197,2016/11/15,dinner,a burger,\ne23203,2016/11/16,breakfast,toast and cheese,\"Olivia, Piper, Rylee, Piper, Kinsley, Layla, Nevaeh, Claire\"\ne23204,2016/11/16,lunch,steak,\"Carter, Andrew, Kayden\"\ne23205,2016/11/16,dinner,indian food,\"Willow, Avery, Benjamin\"\ne23211,2016/11/17,breakfast,pancakes,\ne23212,2016/11/17,lunch,fish and chips,\ne23213,2016/11/17,dinner,tacos,\"Layla, Nora, Eva, Piper, Avery, Claire, Olivia, Hazel\"\ne23221,2016/11/18,breakfast,pancakes,\ne23222,2016/11/18,lunch,sandwich,\"Andrew, Emily\"\ne23223,2016/11/18,dinner,sandwich,\ne23231,2016/11/19,breakfast,oatmeal,\"Eva, Kinsley, Layla\"\ne23232,2016/11/19,lunch,fish and chips,\ne23233,2016/11/19,dinner,steak,\"Lydia, Kinsley, Nevaeh, Claire, Rylee, Eva, Olivia, Nora, Avery, Piper, Hazel, Layla\"\ne23240,2016/11/20,breakfast,oatmeal,\ne23241,2016/11/20,lunch,sushi,Kayden\ne23242,2016/11/20,dinner,fish and chips,\ne23250,2016/11/21,breakfast,toast and cheese,Nora\ne23251,2016/11/21,lunch,fish and chips,\"Emily, Andrew\"\ne23252,2016/11/21,dinner,chinese food,\ne23256,2016/11/22,breakfast,toast and cheese,\"Emily, Kayden\"\ne23257,2016/11/22,lunch,pasta,\"Andrew, Carter, Kayden\"\ne23258,2016/11/22,dinner,steak,\ne23266,2016/11/23,breakfast,\"eggs, sausages, and bread\",\ne23267,2016/11/23,lunch,indian food,Carter\ne23268,2016/11/23,dinner,a burger,\"Andrew, Emily\"\ne23276,2016/11/24,breakfast,cereals,\"Kinsley, Nevaeh, Olivia, Lydia, Rylee, Piper, Piper, Nora, Claire, Avery, Layla\"\ne23277,2016/11/24,lunch,indian food,Emily\ne23278,2016/11/24,dinner,pasta,\ne23284,2016/11/25,breakfast,oatmeal,\ne23285,2016/11/25,lunch,sushi,\ne23286,2016/11/25,dinner,tacos,\"Nevaeh, Olivia, Eva, Kinsley, Piper, Claire\"\ne23293,2016/11/26,breakfast,oatmeal,Emily\ne23294,2016/11/26,lunch,fish and chips,\ne23295,2016/11/26,dinner,chinese food,\ne23302,2016/11/27,breakfast,\"eggs, sausages, and bread\",\ne23303,2016/11/27,lunch,fish and chips,\ne23304,2016/11/27,dinner,sushi,\ne23311,2016/11/28,breakfast,peanut-butter-jam,\ne23312,2016/11/28,lunch,steak,\ne23313,2016/11/28,dinner,pasta,Willow\ne23320,2016/11/29,breakfast,oatmeal,\ne23321,2016/11/29,lunch,steak,\ne23322,2016/11/29,dinner,pasta,\ne23330,2016/11/30,breakfast,pancakes,\ne23331,2016/11/30,lunch,sandwich,\ne23332,2016/11/30,dinner,chinese food,\ne23339,2016/12/01,breakfast,pancakes,\ne23340,2016/12/01,lunch,chinese food,\ne23341,2016/12/01,dinner,indian food,\ne23349,2016/12/02,breakfast,cereals,\ne23350,2016/12/02,lunch,indian food,\ne23351,2016/12/02,dinner,a burger,\ne23356,2016/12/03,breakfast,\"eggs, sausages, and bread\",\ne23357,2016/12/03,lunch,sushi,\ne23358,2016/12/03,dinner,sushi,\ne23365,2016/12/04,breakfast,toast and cheese,\ne23366,2016/12/04,lunch,a burger,\ne23367,2016/12/04,dinner,fish and chips,\ne23375,2016/12/05,breakfast,peanut-butter-jam,\"Carter, Emily\"\ne23376,2016/12/05,lunch,steak,\ne23377,2016/12/05,dinner,sushi,\ne23382,2016/12/06,breakfast,peanut-butter-jam,\ne23383,2016/12/06,lunch,indian food,\ne23384,2016/12/06,dinner,sushi,\ne23391,2016/12/07,breakfast,\"eggs, sausages, and bread\",\ne23392,2016/12/07,lunch,chinese food,\ne23393,2016/12/07,dinner,sandwich,\ne23399,2016/12/08,breakfast,peanut-butter-jam,\"Emily, Andrew, Carter, Kayden\"\ne23400,2016/12/08,lunch,tacos,\ne23401,2016/12/08,dinner,chinese food,Jackson\ne23409,2016/12/09,breakfast,toast and cheese,\ne23410,2016/12/09,lunch,a burger,\ne23411,2016/12/09,dinner,a burger,\ne23417,2016/12/10,breakfast,toast and cheese,\ne23418,2016/12/10,lunch,sandwich,\"Olivia, Nora, Piper, Hazel, Avery, Rylee\"\ne23419,2016/12/10,dinner,steak,\"Emily, Carter\"\ne23424,2016/12/11,breakfast,pancakes,\"Piper, Hazel, Lydia, Avery, Kinsley\"\ne23425,2016/12/11,lunch,chinese food,\ne23426,2016/12/11,dinner,chinese food,\ne23434,2016/12/12,breakfast,\"eggs, sausages, and bread\",\ne23435,2016/12/12,lunch,sandwich,\ne23436,2016/12/12,dinner,sandwich,Kayden\ne23442,2016/12/13,breakfast,oatmeal,\ne23443,2016/12/13,lunch,pasta,Willow\ne23444,2016/12/13,dinner,fish and chips,\ne23451,2016/12/14,breakfast,cereals,\ne23452,2016/12/14,lunch,tacos,\ne23453,2016/12/14,dinner,fish and chips,Jackson\ne23460,2016/12/15,breakfast,toast and cheese,\ne23461,2016/12/15,lunch,tacos,\ne23462,2016/12/15,dinner,steak,\ne23468,2016/12/16,breakfast,peanut-butter-jam,\ne23469,2016/12/16,lunch,pasta,\ne23470,2016/12/16,dinner,sandwich,\ne23477,2016/12/17,breakfast,oatmeal,\ne23478,2016/12/17,lunch,tacos,\ne23479,2016/12/17,dinner,pasta,\"Kayden, Carter\"\ne23486,2016/12/18,breakfast,toast and cheese,\ne23487,2016/12/18,lunch,sandwich,\ne23488,2016/12/18,dinner,sushi,Lydia\ne23495,2016/12/19,breakfast,toast and cheese,\ne23496,2016/12/19,lunch,indian food,\ne23497,2016/12/19,dinner,indian food,\ne23504,2016/12/20,breakfast,\"eggs, sausages, and bread\",Olivia\ne23505,2016/12/20,lunch,fish and chips,\ne23506,2016/12/20,dinner,indian food,\ne23512,2016/12/21,breakfast,toast and cheese,\ne23513,2016/12/21,lunch,pasta,\ne23514,2016/12/21,dinner,sushi,\"Kayden, Carter, Emily, Andrew\"\ne23521,2016/12/22,breakfast,toast and cheese,\ne23522,2016/12/22,lunch,indian food,\ne23523,2016/12/22,dinner,a burger,Benjamin\ne23530,2016/12/23,breakfast,peanut-butter-jam,\ne23531,2016/12/23,lunch,tacos,\"Claire, Olivia, Piper, Rylee, Avery, Kinsley, Nora, Nevaeh\"\ne23532,2016/12/23,dinner,a burger,\ne23539,2016/12/24,breakfast,peanut-butter-jam,\"Kayden, Emily\"\ne23540,2016/12/24,lunch,tacos,\ne23541,2016/12/24,dinner,sandwich,\ne23547,2016/12/25,breakfast,toast and cheese,\"Andrew, Kayden, Carter\"\ne23548,2016/12/25,lunch,pasta,\"Nora, Eva, Rylee\"\ne23549,2016/12/25,dinner,pasta,\ne23556,2016/12/26,breakfast,toast and cheese,\ne23557,2016/12/26,lunch,pasta,\ne23558,2016/12/26,dinner,tacos,\"Jackson, Willow, Avery\"\ne23565,2016/12/27,breakfast,\"eggs, sausages, and bread\",\ne23566,2016/12/27,lunch,pasta,\ne23567,2016/12/27,dinner,indian food,\ne23575,2016/12/28,breakfast,cereals,\ne23576,2016/12/28,lunch,sandwich,\ne23577,2016/12/28,dinner,a burger,\ne23584,2016/12/29,breakfast,\"eggs, sausages, and bread\",\ne23585,2016/12/29,lunch,sushi,\"Rylee, Nevaeh, Eva, Nora, Claire, Lydia, Olivia, Avery, Piper, Hazel, Layla, Piper\"\ne23586,2016/12/29,dinner,chinese food,\ne23591,2016/12/30,breakfast,cereals,\ne23592,2016/12/30,lunch,steak,\"Eva, Layla, Lydia, Avery, Kinsley, Piper, Nevaeh, Rylee, Piper\"\ne23593,2016/12/30,dinner,a burger,\"Nora, Avery, Rylee, Nevaeh, Lydia\"\ne23600,2016/12/31,breakfast,\"eggs, sausages, and bread\",\ne23601,2016/12/31,lunch,chinese food,\ne23602,2016/12/31,dinner,tacos,Willow\ne23833,2017/01/01,breakfast,oatmeal,\"Piper, Claire, Olivia, Nevaeh, Layla, Rylee\"\ne23834,2017/01/01,lunch,chinese food,Andrew\ne23835,2017/01/01,dinner,chinese food,\ne23841,2017/01/02,breakfast,pancakes,\"Emily, Carter, Andrew, Kayden\"\ne23842,2017/01/02,lunch,pasta,\ne23843,2017/01/02,dinner,indian food,\ne23851,2017/01/03,breakfast,cereals,\"Emily, Andrew\"\ne23852,2017/01/03,lunch,sandwich,\ne23853,2017/01/03,dinner,sandwich,\"Kayden, Carter\"\ne23860,2017/01/04,breakfast,pancakes,\ne23861,2017/01/04,lunch,sushi,\ne23862,2017/01/04,dinner,sandwich,Carter\ne23869,2017/01/05,breakfast,pancakes,\"Benjamin, Jackson\"\ne23870,2017/01/05,lunch,fish and chips,\ne23871,2017/01/05,dinner,fish and chips,\ne23877,2017/01/06,breakfast,peanut-butter-jam,\"Jackson, Avery, Benjamin, Willow\"\ne23878,2017/01/06,lunch,sandwich,\"Avery, Jackson, Benjamin\"\ne23879,2017/01/06,dinner,sushi,\ne23885,2017/01/07,breakfast,cereals,\"Kinsley, Rylee, Hazel, Piper, Nevaeh, Claire, Nora, Olivia, Eva, Piper, Avery\"\ne23886,2017/01/07,lunch,fish and chips,\ne23887,2017/01/07,dinner,fish and chips,\ne23895,2017/01/08,breakfast,cereals,\"Emily, Kayden, Andrew, Carter\"\ne23896,2017/01/08,lunch,steak,\ne23897,2017/01/08,dinner,chinese food,\ne23904,2017/01/09,breakfast,\"eggs, sausages, and bread\",Rylee\ne23905,2017/01/09,lunch,tacos,\ne23906,2017/01/09,dinner,steak,\ne23911,2017/01/10,breakfast,pancakes,\ne23912,2017/01/10,lunch,steak,Kayden\ne23913,2017/01/10,dinner,pasta,\ne23918,2017/01/11,breakfast,toast and cheese,\"Jackson, Willow, Benjamin, Avery\"\ne23919,2017/01/11,lunch,fish and chips,\"Claire, Piper, Nora, Layla, Rylee, Eva, Nevaeh, Hazel, Piper, Olivia, Avery, Kinsley, Lydia\"\ne23920,2017/01/11,dinner,steak,\ne23926,2017/01/12,breakfast,peanut-butter-jam,\ne23927,2017/01/12,lunch,tacos,\"Kayden, Andrew\"\ne23928,2017/01/12,dinner,fish and chips,\ne23934,2017/01/13,breakfast,pancakes,\ne23935,2017/01/13,lunch,sushi,\ne23936,2017/01/13,dinner,steak,\"Andrew, Emily, Kayden, Carter\"\ne23943,2017/01/14,breakfast,cereals,Kayden\ne23944,2017/01/14,lunch,sandwich,\"Kayden, Emily, Carter, Andrew\"\ne23945,2017/01/14,dinner,a burger,\ne23949,2017/01/15,breakfast,\"eggs, sausages, and bread\",\ne23950,2017/01/15,lunch,tacos,\ne23951,2017/01/15,dinner,indian food,\ne23958,2017/01/16,breakfast,toast and cheese,\"Andrew, Emily\"\ne23959,2017/01/16,lunch,chinese food,\"Rylee, Kinsley, Olivia, Eva, Piper, Lydia, Nevaeh, Nora, Layla, Hazel, Claire\"\ne23960,2017/01/16,dinner,fish and chips,\"Willow, Benjamin, Avery\"\ne23966,2017/01/17,breakfast,pancakes,\ne23967,2017/01/17,lunch,steak,\ne23968,2017/01/17,dinner,steak,\ne23974,2017/01/18,breakfast,toast and cheese,\ne23975,2017/01/18,lunch,chinese food,Carter\ne23976,2017/01/18,dinner,chinese food,Avery\ne23981,2017/01/19,breakfast,oatmeal,\ne23982,2017/01/19,lunch,steak,\"Kayden, Andrew, Carter, Emily\"\ne23983,2017/01/19,dinner,fish and chips,\ne23989,2017/01/20,breakfast,\"eggs, sausages, and bread\",\ne23990,2017/01/20,lunch,fish and chips,\ne23991,2017/01/20,dinner,fish and chips,\ne23996,2017/01/21,breakfast,cereals,\"Claire, Layla\"\ne23997,2017/01/21,lunch,chinese food,\ne23998,2017/01/21,dinner,fish and chips,\"Benjamin, Willow, Jackson, Avery\"\ne24006,2017/01/22,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew, Emily\"\ne24007,2017/01/22,lunch,sandwich,\ne24008,2017/01/22,dinner,indian food,\"Kinsley, Rylee, Eva, Layla, Nevaeh\"\ne24015,2017/01/23,breakfast,pancakes,\"Andrew, Carter, Emily\"\ne24016,2017/01/23,lunch,a burger,\ne24017,2017/01/23,dinner,pasta,\ne24025,2017/01/24,breakfast,cereals,\"Eva, Piper, Nevaeh, Lydia, Rylee, Layla, Hazel, Olivia\"\ne24026,2017/01/24,lunch,pasta,\ne24027,2017/01/24,dinner,tacos,\"Carter, Kayden, Andrew, Emily\"\ne24033,2017/01/25,breakfast,oatmeal,\"Carter, Kayden\"\ne24034,2017/01/25,lunch,sandwich,\ne24035,2017/01/25,dinner,chinese food,\ne24040,2017/01/26,breakfast,pancakes,\ne24041,2017/01/26,lunch,steak,\ne24042,2017/01/26,dinner,steak,\ne24049,2017/01/27,breakfast,peanut-butter-jam,\ne24050,2017/01/27,lunch,sandwich,\ne24051,2017/01/27,dinner,steak,\ne24058,2017/01/28,breakfast,pancakes,Kayden\ne24059,2017/01/28,lunch,tacos,\"Layla, Avery, Lydia, Olivia, Claire, Piper\"\ne24060,2017/01/28,dinner,steak,\"Jackson, Benjamin, Willow\"\ne24066,2017/01/29,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew\"\ne24067,2017/01/29,lunch,a burger,\"Lydia, Hazel, Layla, Olivia, Nora, Piper, Nevaeh, Eva, Piper, Claire, Avery, Kinsley, Rylee\"\ne24068,2017/01/29,dinner,indian food,\ne24075,2017/01/30,breakfast,cereals,Andrew\ne24076,2017/01/30,lunch,sushi,\"Kayden, Andrew\"\ne24077,2017/01/30,dinner,steak,Kayden\ne24082,2017/01/31,breakfast,peanut-butter-jam,\ne24083,2017/01/31,lunch,steak,\"Avery, Benjamin\"\ne24084,2017/01/31,dinner,sandwich,\ne24091,2017/02/01,breakfast,oatmeal,\ne24092,2017/02/01,lunch,a burger,\"Andrew, Kayden, Carter\"\ne24093,2017/02/01,dinner,indian food,\"Emily, Carter, Kayden\"\ne24101,2017/02/02,breakfast,cereals,\ne24102,2017/02/02,lunch,sandwich,\ne24103,2017/02/02,dinner,sushi,\ne24109,2017/02/03,breakfast,pancakes,\"Emily, Carter, Andrew, Kayden\"\ne24110,2017/02/03,lunch,steak,\"Claire, Lydia, Nevaeh, Piper, Piper, Olivia\"\ne24111,2017/02/03,dinner,steak,\"Layla, Rylee, Nevaeh, Avery, Eva, Kinsley, Lydia, Nora\"\ne24117,2017/02/04,breakfast,\"eggs, sausages, and bread\",\ne24118,2017/02/04,lunch,a burger,\ne24119,2017/02/04,dinner,tacos,\"Carter, Andrew, Kayden, Emily\"\ne24126,2017/02/05,breakfast,pancakes,\ne24127,2017/02/05,lunch,indian food,\ne24128,2017/02/05,dinner,steak,\ne24134,2017/02/06,breakfast,\"eggs, sausages, and bread\",\ne24135,2017/02/06,lunch,tacos,\"Andrew, Emily, Kayden\"\ne24136,2017/02/06,dinner,indian food,Benjamin\ne24143,2017/02/07,breakfast,cereals,\ne24144,2017/02/07,lunch,indian food,\ne24145,2017/02/07,dinner,sandwich,\ne24153,2017/02/08,breakfast,cereals,Kayden\ne24154,2017/02/08,lunch,a burger,\ne24155,2017/02/08,dinner,fish and chips,\ne24162,2017/02/09,breakfast,oatmeal,\ne24163,2017/02/09,lunch,sushi,Emily\ne24164,2017/02/09,dinner,pasta,\ne24171,2017/02/10,breakfast,toast and cheese,Benjamin\ne24172,2017/02/10,lunch,sushi,\ne24173,2017/02/10,dinner,sushi,\"Claire, Eva, Piper, Hazel, Layla, Avery, Nora, Piper, Nevaeh, Rylee, Lydia, Kinsley\"\ne24178,2017/02/11,breakfast,cereals,\ne24179,2017/02/11,lunch,sushi,\"Kayden, Andrew, Carter, Emily\"\ne24180,2017/02/11,dinner,steak,\"Kayden, Andrew, Emily, Carter\"\ne24186,2017/02/12,breakfast,peanut-butter-jam,Carter\ne24187,2017/02/12,lunch,tacos,Carter\ne24188,2017/02/12,dinner,steak,\ne24196,2017/02/13,breakfast,\"eggs, sausages, and bread\",\ne24197,2017/02/13,lunch,steak,\ne24198,2017/02/13,dinner,fish and chips,\ne24205,2017/02/14,breakfast,peanut-butter-jam,\ne24206,2017/02/14,lunch,a burger,\ne24207,2017/02/14,dinner,chinese food,\ne24214,2017/02/15,breakfast,\"eggs, sausages, and bread\",\ne24215,2017/02/15,lunch,a burger,Nevaeh\ne24216,2017/02/15,dinner,tacos,\ne24222,2017/02/16,breakfast,\"eggs, sausages, and bread\",\ne24223,2017/02/16,lunch,tacos,\"Avery, Willow, Jackson\"\ne24224,2017/02/16,dinner,chinese food,\ne24231,2017/02/17,breakfast,oatmeal,\ne24232,2017/02/17,lunch,chinese food,\ne24233,2017/02/17,dinner,indian food,\ne24239,2017/02/18,breakfast,cereals,\ne24240,2017/02/18,lunch,steak,\ne24241,2017/02/18,dinner,steak,\ne24249,2017/02/19,breakfast,cereals,\ne24250,2017/02/19,lunch,tacos,\"Andrew, Kayden, Carter\"\ne24251,2017/02/19,dinner,chinese food,\"Andrew, Kayden, Emily\"\ne24257,2017/02/20,breakfast,pancakes,\"Lydia, Layla, Piper, Rylee, Kinsley, Nora\"\ne24258,2017/02/20,lunch,sandwich,\ne24259,2017/02/20,dinner,pasta,\ne24266,2017/02/21,breakfast,\"eggs, sausages, and bread\",\"Emily, Andrew\"\ne24267,2017/02/21,lunch,indian food,\"Olivia, Eva, Nevaeh, Layla, Lydia, Claire, Nora, Piper, Rylee, Kinsley, Hazel, Piper\"\ne24268,2017/02/21,dinner,indian food,Kayden\ne24274,2017/02/22,breakfast,toast and cheese,\ne24275,2017/02/22,lunch,steak,\ne24276,2017/02/22,dinner,tacos,\ne24282,2017/02/23,breakfast,peanut-butter-jam,\ne24283,2017/02/23,lunch,fish and chips,\ne24284,2017/02/23,dinner,sushi,\"Kayden, Carter, Andrew\"\ne24292,2017/02/24,breakfast,\"eggs, sausages, and bread\",\ne24293,2017/02/24,lunch,fish and chips,\"Willow, Benjamin\"\ne24294,2017/02/24,dinner,a burger,Carter\ne24301,2017/02/25,breakfast,peanut-butter-jam,Piper\ne24302,2017/02/25,lunch,fish and chips,\ne24303,2017/02/25,dinner,tacos,Andrew\ne24308,2017/02/26,breakfast,toast and cheese,\ne24309,2017/02/26,lunch,a burger,\"Piper, Claire\"\ne24310,2017/02/26,dinner,tacos,Carter\ne24317,2017/02/27,breakfast,cereals,\ne24318,2017/02/27,lunch,indian food,\ne24319,2017/02/27,dinner,fish and chips,\ne24327,2017/02/28,breakfast,\"eggs, sausages, and bread\",\ne24328,2017/02/28,lunch,sandwich,\ne24329,2017/02/28,dinner,fish and chips,\ne24336,2017/03/01,breakfast,toast and cheese,\ne24337,2017/03/01,lunch,a burger,\ne24338,2017/03/01,dinner,tacos,\ne24344,2017/03/02,breakfast,peanut-butter-jam,Kinsley\ne24345,2017/03/02,lunch,sushi,\ne24346,2017/03/02,dinner,pasta,\ne24354,2017/03/03,breakfast,\"eggs, sausages, and bread\",\"Kinsley, Claire, Layla, Nora, Nevaeh, Olivia\"\ne24355,2017/03/03,lunch,steak,\"Avery, Jackson, Willow, Benjamin\"\ne24356,2017/03/03,dinner,a burger,\ne24362,2017/03/04,breakfast,\"eggs, sausages, and bread\",\ne24363,2017/03/04,lunch,a burger,\ne24364,2017/03/04,dinner,sushi,\ne24370,2017/03/05,breakfast,toast and cheese,\"Carter, Kayden, Emily\"\ne24371,2017/03/05,lunch,sandwich,\"Carter, Emily, Kayden, Andrew\"\ne24372,2017/03/05,dinner,fish and chips,\"Olivia, Nora, Layla\"\ne24379,2017/03/06,breakfast,toast and cheese,\ne24380,2017/03/06,lunch,sushi,\"Willow, Benjamin, Avery\"\ne24381,2017/03/06,dinner,pasta,\ne24388,2017/03/07,breakfast,oatmeal,\ne24389,2017/03/07,lunch,sandwich,\ne24390,2017/03/07,dinner,a burger,\"Carter, Andrew\"\ne24396,2017/03/08,breakfast,oatmeal,\ne24397,2017/03/08,lunch,tacos,\ne24398,2017/03/08,dinner,sushi,\"Andrew, Emily\"\ne24405,2017/03/09,breakfast,cereals,\ne24406,2017/03/09,lunch,pasta,\ne24407,2017/03/09,dinner,steak,\"Willow, Jackson\"\ne24415,2017/03/10,breakfast,cereals,\ne24416,2017/03/10,lunch,a burger,\ne24417,2017/03/10,dinner,a burger,\ne24422,2017/03/11,breakfast,oatmeal,\"Hazel, Nora, Rylee, Nevaeh, Layla, Avery, Lydia, Eva, Claire\"\ne24423,2017/03/11,lunch,tacos,\ne24424,2017/03/11,dinner,fish and chips,\"Lydia, Piper, Olivia\"\ne24430,2017/03/12,breakfast,oatmeal,\ne24431,2017/03/12,lunch,fish and chips,Avery\ne24432,2017/03/12,dinner,sandwich,\ne24439,2017/03/13,breakfast,pancakes,\"Carter, Kayden, Andrew\"\ne24440,2017/03/13,lunch,steak,\ne24441,2017/03/13,dinner,sushi,\"Avery, Lydia, Claire, Layla\"\ne24448,2017/03/14,breakfast,pancakes,\"Carter, Emily\"\ne24449,2017/03/14,lunch,a burger,\ne24450,2017/03/14,dinner,tacos,\"Carter, Emily, Kayden, Andrew\"\ne24457,2017/03/15,breakfast,cereals,Carter\ne24458,2017/03/15,lunch,a burger,\ne24459,2017/03/15,dinner,indian food,\ne24467,2017/03/16,breakfast,pancakes,\ne24468,2017/03/16,lunch,sandwich,\"Benjamin, Willow, Avery\"\ne24469,2017/03/16,dinner,fish and chips,\ne24477,2017/03/17,breakfast,\"eggs, sausages, and bread\",\ne24478,2017/03/17,lunch,tacos,\ne24479,2017/03/17,dinner,tacos,\ne24485,2017/03/18,breakfast,\"eggs, sausages, and bread\",\ne24486,2017/03/18,lunch,chinese food,\"Piper, Layla, Nora, Nevaeh, Olivia, Kinsley, Piper, Rylee, Lydia\"\ne24487,2017/03/18,dinner,sandwich,\ne24492,2017/03/19,breakfast,cereals,\ne24493,2017/03/19,lunch,fish and chips,\ne24494,2017/03/19,dinner,sandwich,\ne24501,2017/03/20,breakfast,toast and cheese,\ne24502,2017/03/20,lunch,steak,\ne24503,2017/03/20,dinner,sandwich,\"Kayden, Andrew, Carter, Emily\"\ne24508,2017/03/21,breakfast,toast and cheese,\ne24509,2017/03/21,lunch,a burger,\"Piper, Piper, Lydia, Layla, Nevaeh, Kinsley\"\ne24510,2017/03/21,dinner,fish and chips,Kayden\ne24517,2017/03/22,breakfast,toast and cheese,\ne24518,2017/03/22,lunch,indian food,\"Kayden, Andrew, Emily\"\ne24519,2017/03/22,dinner,pasta,\"Emily, Andrew, Kayden\"\ne24527,2017/03/23,breakfast,oatmeal,\"Benjamin, Willow\"\ne24528,2017/03/23,lunch,indian food,\ne24529,2017/03/23,dinner,indian food,\ne24534,2017/03/24,breakfast,pancakes,\ne24535,2017/03/24,lunch,chinese food,\"Benjamin, Avery, Willow\"\ne24536,2017/03/24,dinner,a burger,\ne24543,2017/03/25,breakfast,cereals,\ne24544,2017/03/25,lunch,pasta,\"Hazel, Nora, Kinsley, Nevaeh, Layla, Piper, Eva, Avery, Olivia, Rylee, Piper, Claire, Lydia\"\ne24545,2017/03/25,dinner,sandwich,\"Kayden, Carter, Emily\"\ne24553,2017/03/26,breakfast,cereals,\"Andrew, Emily\"\ne24554,2017/03/26,lunch,pasta,\"Lydia, Nora, Hazel\"\ne24555,2017/03/26,dinner,a burger,\"Emily, Kayden, Andrew, Carter\"\ne24563,2017/03/27,breakfast,toast and cheese,\"Nora, Eva, Avery\"\ne24564,2017/03/27,lunch,chinese food,\ne24565,2017/03/27,dinner,fish and chips,\"Hazel, Kinsley\"\ne24571,2017/03/28,breakfast,cereals,Andrew\ne24572,2017/03/28,lunch,chinese food,\ne24573,2017/03/28,dinner,sandwich,\ne24579,2017/03/29,breakfast,oatmeal,\ne24580,2017/03/29,lunch,sandwich,\ne24581,2017/03/29,dinner,chinese food,\ne24589,2017/03/30,breakfast,oatmeal,\"Rylee, Hazel, Lydia, Olivia, Nevaeh, Kinsley, Nora, Eva, Piper, Layla, Avery, Claire\"\ne24590,2017/03/30,lunch,indian food,\ne24591,2017/03/30,dinner,sushi,\"Nora, Piper, Olivia, Hazel, Avery, Piper, Layla, Nevaeh, Kinsley, Rylee, Lydia, Eva\"\ne24597,2017/03/31,breakfast,pancakes,\"Kayden, Carter\"\ne24598,2017/03/31,lunch,indian food,\ne24599,2017/03/31,dinner,pasta,Willow\ne24605,2017/04/01,breakfast,oatmeal,\ne24606,2017/04/01,lunch,tacos,\ne24607,2017/04/01,dinner,sushi,\ne24614,2017/04/02,breakfast,\"eggs, sausages, and bread\",\"Nora, Rylee, Piper, Piper\"\ne24615,2017/04/02,lunch,pasta,Willow\ne24616,2017/04/02,dinner,a burger,\"Kinsley, Nevaeh, Hazel, Olivia, Avery, Claire, Lydia, Rylee, Piper, Piper, Nora\"\ne24622,2017/04/03,breakfast,\"eggs, sausages, and bread\",Andrew\ne24623,2017/04/03,lunch,sushi,\"Claire, Olivia, Lydia, Piper, Piper\"\ne24624,2017/04/03,dinner,fish and chips,\ne24630,2017/04/04,breakfast,cereals,\ne24631,2017/04/04,lunch,pasta,\ne24632,2017/04/04,dinner,fish and chips,Emily\ne24639,2017/04/05,breakfast,peanut-butter-jam,\ne24640,2017/04/05,lunch,sandwich,\ne24641,2017/04/05,dinner,sushi,\"Carter, Andrew, Emily, Kayden\"\ne24646,2017/04/06,breakfast,\"eggs, sausages, and bread\",\ne24647,2017/04/06,lunch,sushi,\"Layla, Nora\"\ne24648,2017/04/06,dinner,sushi,\ne24655,2017/04/07,breakfast,cereals,\ne24656,2017/04/07,lunch,pasta,\ne24657,2017/04/07,dinner,chinese food,\ne24664,2017/04/08,breakfast,pancakes,\ne24665,2017/04/08,lunch,chinese food,Willow\ne24666,2017/04/08,dinner,chinese food,\ne24672,2017/04/09,breakfast,oatmeal,Kayden\ne24673,2017/04/09,lunch,sandwich,\ne24674,2017/04/09,dinner,indian food,\ne24681,2017/04/10,breakfast,peanut-butter-jam,\ne24682,2017/04/10,lunch,steak,\"Carter, Andrew, Emily\"\ne24683,2017/04/10,dinner,fish and chips,\"Carter, Kayden, Emily\"\ne24690,2017/04/11,breakfast,\"eggs, sausages, and bread\",\ne24691,2017/04/11,lunch,tacos,\ne24692,2017/04/11,dinner,steak,\ne24699,2017/04/12,breakfast,cereals,\"Lydia, Olivia\"\ne24700,2017/04/12,lunch,tacos,\ne24701,2017/04/12,dinner,steak,\ne24707,2017/04/13,breakfast,peanut-butter-jam,\ne24708,2017/04/13,lunch,a burger,\ne24709,2017/04/13,dinner,pasta,\ne24716,2017/04/14,breakfast,oatmeal,\"Carter, Andrew, Emily, Kayden\"\ne24717,2017/04/14,lunch,sushi,\"Andrew, Emily\"\ne24718,2017/04/14,dinner,a burger,\"Emily, Andrew, Kayden\"\ne24724,2017/04/15,breakfast,\"eggs, sausages, and bread\",\ne24725,2017/04/15,lunch,a burger,Emily\ne24726,2017/04/15,dinner,a burger,\ne24732,2017/04/16,breakfast,cereals,\ne24733,2017/04/16,lunch,chinese food,\"Carter, Kayden, Andrew\"\ne24734,2017/04/16,dinner,indian food,Willow\ne24740,2017/04/17,breakfast,\"eggs, sausages, and bread\",\ne24741,2017/04/17,lunch,indian food,\ne24742,2017/04/17,dinner,sandwich,\"Carter, Kayden\"\ne24749,2017/04/18,breakfast,peanut-butter-jam,\ne24750,2017/04/18,lunch,indian food,\ne24751,2017/04/18,dinner,sushi,\ne24757,2017/04/19,breakfast,oatmeal,\"Kayden, Emily, Andrew, Carter\"\ne24758,2017/04/19,lunch,pasta,\ne24759,2017/04/19,dinner,indian food,\ne24765,2017/04/20,breakfast,cereals,\ne24766,2017/04/20,lunch,sandwich,\"Willow, Benjamin, Avery, Jackson\"\ne24767,2017/04/20,dinner,a burger,\ne24773,2017/04/21,breakfast,pancakes,\"Jackson, Benjamin, Avery\"\ne24774,2017/04/21,lunch,fish and chips,Avery\ne24775,2017/04/21,dinner,sandwich,\ne24781,2017/04/22,breakfast,peanut-butter-jam,\"Emily, Kayden, Andrew, Carter\"\ne24782,2017/04/22,lunch,chinese food,Kayden\ne24783,2017/04/22,dinner,pasta,\ne24791,2017/04/23,breakfast,\"eggs, sausages, and bread\",\ne24792,2017/04/23,lunch,fish and chips,\ne24793,2017/04/23,dinner,sandwich,\ne24799,2017/04/24,breakfast,pancakes,Benjamin\ne24800,2017/04/24,lunch,indian food,\"Hazel, Rylee, Piper\"\ne24801,2017/04/24,dinner,tacos,\"Willow, Jackson, Benjamin, Avery\"\ne24807,2017/04/25,breakfast,toast and cheese,\"Andrew, Kayden, Emily, Carter\"\ne24808,2017/04/25,lunch,chinese food,\"Andrew, Emily, Carter, Kayden\"\ne24809,2017/04/25,dinner,sandwich,\ne24817,2017/04/26,breakfast,toast and cheese,\ne24818,2017/04/26,lunch,fish and chips,\"Kayden, Emily\"\ne24819,2017/04/26,dinner,sandwich,\ne24825,2017/04/27,breakfast,cereals,\ne24826,2017/04/27,lunch,indian food,\ne24827,2017/04/27,dinner,chinese food,\ne24833,2017/04/28,breakfast,toast and cheese,\ne24834,2017/04/28,lunch,chinese food,\ne24835,2017/04/28,dinner,chinese food,\"Andrew, Emily\"\ne24842,2017/04/29,breakfast,cereals,\"Andrew, Carter, Emily\"\ne24843,2017/04/29,lunch,a burger,\"Jackson, Avery, Benjamin, Willow\"\ne24844,2017/04/29,dinner,fish and chips,Avery\ne24850,2017/04/30,breakfast,toast and cheese,\ne24851,2017/04/30,lunch,chinese food,\ne24852,2017/04/30,dinner,fish and chips,\ne24859,2017/05/01,breakfast,pancakes,\ne24860,2017/05/01,lunch,a burger,\"Avery, Jackson\"\ne24861,2017/05/01,dinner,indian food,Jackson\ne24867,2017/05/02,breakfast,peanut-butter-jam,\"Piper, Nevaeh, Claire, Piper, Hazel, Rylee, Olivia, Layla, Kinsley\"\ne24868,2017/05/02,lunch,sushi,Olivia\ne24869,2017/05/02,dinner,chinese food,\"Jackson, Benjamin, Avery, Willow\"\ne24876,2017/05/03,breakfast,peanut-butter-jam,\"Carter, Kayden\"\ne24877,2017/05/03,lunch,pasta,\"Kayden, Andrew\"\ne24878,2017/05/03,dinner,sushi,\"Jackson, Willow\"\ne24885,2017/05/04,breakfast,toast and cheese,\ne24886,2017/05/04,lunch,tacos,\"Nora, Avery, Hazel\"\ne24887,2017/05/04,dinner,sushi,\ne24893,2017/05/05,breakfast,peanut-butter-jam,\ne24894,2017/05/05,lunch,indian food,\"Avery, Willow, Benjamin\"\ne24895,2017/05/05,dinner,fish and chips,\ne24901,2017/05/06,breakfast,oatmeal,\"Kayden, Andrew, Emily\"\ne24902,2017/05/06,lunch,pasta,Nora\ne24903,2017/05/06,dinner,chinese food,\"Kayden, Carter\"\ne24911,2017/05/07,breakfast,cereals,\ne24912,2017/05/07,lunch,chinese food,\ne24913,2017/05/07,dinner,fish and chips,\"Carter, Emily, Kayden, Andrew\"\ne24921,2017/05/08,breakfast,toast and cheese,\ne24922,2017/05/08,lunch,pasta,\ne24923,2017/05/08,dinner,sushi,\ne24930,2017/05/09,breakfast,cereals,\ne24931,2017/05/09,lunch,sandwich,\ne24932,2017/05/09,dinner,chinese food,\ne24940,2017/05/10,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden\"\ne24941,2017/05/10,lunch,fish and chips,\ne24942,2017/05/10,dinner,indian food,\ne24950,2017/05/11,breakfast,cereals,\"Andrew, Carter, Kayden, Emily\"\ne24951,2017/05/11,lunch,a burger,\ne24952,2017/05/11,dinner,tacos,\ne24959,2017/05/12,breakfast,peanut-butter-jam,\ne24960,2017/05/12,lunch,indian food,\ne24961,2017/05/12,dinner,sandwich,\"Andrew, Emily, Kayden, Carter\"\ne24969,2017/05/13,breakfast,peanut-butter-jam,\ne24970,2017/05/13,lunch,fish and chips,\ne24971,2017/05/13,dinner,steak,\"Kayden, Carter, Emily, Andrew\"\ne24978,2017/05/14,breakfast,pancakes,\"Claire, Nevaeh, Layla, Nora, Eva, Lydia, Kinsley, Olivia, Rylee\"\ne24979,2017/05/14,lunch,steak,\"Carter, Kayden\"\ne24980,2017/05/14,dinner,fish and chips,\ne24986,2017/05/15,breakfast,toast and cheese,\ne24987,2017/05/15,lunch,indian food,\ne24988,2017/05/15,dinner,chinese food,\"Piper, Nora, Avery, Lydia, Olivia, Nevaeh, Eva, Kinsley, Layla, Rylee, Claire\"\ne24995,2017/05/16,breakfast,\"eggs, sausages, and bread\",\"Avery, Willow, Benjamin\"\ne24996,2017/05/16,lunch,sandwich,\ne24997,2017/05/16,dinner,sandwich,\ne25004,2017/05/17,breakfast,oatmeal,\ne25005,2017/05/17,lunch,pasta,\"Willow, Jackson, Benjamin, Avery\"\ne25006,2017/05/17,dinner,indian food,\ne25012,2017/05/18,breakfast,\"eggs, sausages, and bread\",\ne25013,2017/05/18,lunch,steak,\"Emily, Kayden\"\ne25014,2017/05/18,dinner,pasta,\"Avery, Benjamin, Willow, Jackson\"\ne25018,2017/05/19,breakfast,cereals,\ne25019,2017/05/19,lunch,pasta,Jackson\ne25020,2017/05/19,dinner,sushi,\ne25027,2017/05/20,breakfast,\"eggs, sausages, and bread\",\"Jackson, Benjamin, Avery, Willow\"\ne25028,2017/05/20,lunch,a burger,\ne25029,2017/05/20,dinner,fish and chips,\ne25036,2017/05/21,breakfast,\"eggs, sausages, and bread\",\"Piper, Claire, Piper, Hazel, Kinsley, Nora\"\ne25037,2017/05/21,lunch,steak,\ne25038,2017/05/21,dinner,tacos,\ne25045,2017/05/22,breakfast,toast and cheese,\ne25046,2017/05/22,lunch,sushi,\"Hazel, Nevaeh, Piper, Piper, Kinsley, Layla, Eva\"\ne25047,2017/05/22,dinner,pasta,\ne25053,2017/05/23,breakfast,pancakes,\ne25054,2017/05/23,lunch,tacos,\ne25055,2017/05/23,dinner,steak,\ne25061,2017/05/24,breakfast,cereals,\"Hazel, Nevaeh, Claire, Piper, Olivia, Avery, Piper, Eva, Layla, Lydia\"\ne25062,2017/05/24,lunch,sandwich,\ne25063,2017/05/24,dinner,indian food,\"Kayden, Carter, Emily, Andrew\"\ne25070,2017/05/25,breakfast,cereals,\ne25071,2017/05/25,lunch,steak,\ne25072,2017/05/25,dinner,sushi,\"Avery, Jackson\"\ne25079,2017/05/26,breakfast,cereals,Andrew\ne25080,2017/05/26,lunch,indian food,\"Lydia, Olivia, Hazel, Layla\"\ne25081,2017/05/26,dinner,sandwich,\ne25087,2017/05/27,breakfast,oatmeal,\ne25088,2017/05/27,lunch,a burger,\ne25089,2017/05/27,dinner,pasta,\ne25096,2017/05/28,breakfast,pancakes,\ne25097,2017/05/28,lunch,steak,\"Willow, Jackson, Benjamin\"\ne25098,2017/05/28,dinner,pasta,\"Kayden, Emily\"\ne25105,2017/05/29,breakfast,toast and cheese,\"Kayden, Emily, Carter\"\ne25106,2017/05/29,lunch,sandwich,\ne25107,2017/05/29,dinner,steak,\"Kayden, Carter\"\ne25113,2017/05/30,breakfast,peanut-butter-jam,\"Jackson, Avery, Willow, Benjamin\"\ne25114,2017/05/30,lunch,sushi,\ne25115,2017/05/30,dinner,chinese food,\"Kinsley, Rylee, Claire, Olivia, Piper, Nora, Layla, Lydia, Piper, Nevaeh, Avery\"\ne25123,2017/05/31,breakfast,peanut-butter-jam,\"Andrew, Emily, Kayden\"\ne25124,2017/05/31,lunch,tacos,\"Carter, Andrew, Kayden, Emily\"\ne25125,2017/05/31,dinner,a burger,\ne25133,2017/06/01,breakfast,\"eggs, sausages, and bread\",\ne25134,2017/06/01,lunch,tacos,\"Piper, Nevaeh, Layla, Claire, Piper, Nora, Eva, Hazel, Rylee, Lydia, Kinsley, Olivia\"\ne25135,2017/06/01,dinner,fish and chips,Emily\ne25141,2017/06/02,breakfast,cereals,\ne25142,2017/06/02,lunch,sandwich,\ne25143,2017/06/02,dinner,indian food,\ne25148,2017/06/03,breakfast,oatmeal,\ne25149,2017/06/03,lunch,sushi,\"Nevaeh, Nora, Lydia, Piper, Claire, Rylee, Hazel, Olivia, Eva, Layla, Kinsley, Avery, Piper\"\ne25150,2017/06/03,dinner,fish and chips,\ne25156,2017/06/04,breakfast,oatmeal,\ne25157,2017/06/04,lunch,sandwich,\ne25158,2017/06/04,dinner,pasta,\ne25165,2017/06/05,breakfast,peanut-butter-jam,\"Emily, Andrew, Carter, Kayden\"\ne25166,2017/06/05,lunch,sushi,\ne25167,2017/06/05,dinner,sandwich,\ne25173,2017/06/06,breakfast,peanut-butter-jam,\ne25174,2017/06/06,lunch,sandwich,\ne25175,2017/06/06,dinner,fish and chips,\ne25183,2017/06/07,breakfast,\"eggs, sausages, and bread\",\"Piper, Nevaeh, Lydia, Claire, Avery, Olivia, Rylee, Kinsley, Nora, Hazel, Piper, Layla, Eva\"\ne25184,2017/06/07,lunch,chinese food,\ne25185,2017/06/07,dinner,chinese food,\ne25193,2017/06/08,breakfast,cereals,\ne25194,2017/06/08,lunch,pasta,Kayden\ne25195,2017/06/08,dinner,pasta,\ne25202,2017/06/09,breakfast,oatmeal,\"Emily, Andrew, Carter, Kayden\"\ne25203,2017/06/09,lunch,fish and chips,\ne25204,2017/06/09,dinner,fish and chips,\ne25211,2017/06/10,breakfast,\"eggs, sausages, and bread\",\ne25212,2017/06/10,lunch,chinese food,\ne25213,2017/06/10,dinner,pasta,\ne25220,2017/06/11,breakfast,oatmeal,\"Eva, Nevaeh, Piper\"\ne25221,2017/06/11,lunch,tacos,\ne25222,2017/06/11,dinner,sandwich,\"Avery, Olivia, Piper, Kinsley, Piper, Nora, Eva, Claire\"\ne25230,2017/06/12,breakfast,\"eggs, sausages, and bread\",\ne25231,2017/06/12,lunch,chinese food,\ne25232,2017/06/12,dinner,pasta,\ne25238,2017/06/13,breakfast,pancakes,\"Emily, Andrew, Kayden, Carter\"\ne25239,2017/06/13,lunch,steak,\ne25240,2017/06/13,dinner,sandwich,\"Olivia, Avery, Layla, Piper, Piper, Hazel, Nevaeh, Lydia, Kinsley, Rylee, Claire\"\ne25246,2017/06/14,breakfast,cereals,\ne25247,2017/06/14,lunch,pasta,\"Emily, Carter, Andrew\"\ne25248,2017/06/14,dinner,indian food,\"Carter, Emily\"\ne25255,2017/06/15,breakfast,peanut-butter-jam,\ne25256,2017/06/15,lunch,sandwich,\ne25257,2017/06/15,dinner,sandwich,\"Avery, Jackson\"\ne25263,2017/06/16,breakfast,\"eggs, sausages, and bread\",\ne25264,2017/06/16,lunch,fish and chips,\ne25265,2017/06/16,dinner,pasta,\ne25271,2017/06/17,breakfast,oatmeal,\"Jackson, Willow, Benjamin\"\ne25272,2017/06/17,lunch,a burger,Andrew\ne25273,2017/06/17,dinner,tacos,\ne25279,2017/06/18,breakfast,cereals,\ne25280,2017/06/18,lunch,sandwich,\ne25281,2017/06/18,dinner,pasta,\ne25287,2017/06/19,breakfast,oatmeal,\ne25288,2017/06/19,lunch,indian food,\"Carter, Andrew, Emily\"\ne25289,2017/06/19,dinner,tacos,\ne25296,2017/06/20,breakfast,toast and cheese,\ne25297,2017/06/20,lunch,sandwich,\"Olivia, Eva, Nevaeh, Claire, Avery\"\ne25298,2017/06/20,dinner,sandwich,\"Andrew, Emily, Carter\"\ne25306,2017/06/21,breakfast,cereals,\"Piper, Nora, Eva, Layla, Claire, Hazel, Piper, Avery, Olivia, Lydia\"\ne25307,2017/06/21,lunch,indian food,Emily\ne25308,2017/06/21,dinner,steak,\ne25315,2017/06/22,breakfast,peanut-butter-jam,\ne25316,2017/06/22,lunch,fish and chips,\"Nevaeh, Lydia, Avery, Claire, Piper, Olivia, Hazel\"\ne25317,2017/06/22,dinner,indian food,\ne25322,2017/06/23,breakfast,oatmeal,\"Eva, Lydia, Piper, Avery, Claire, Nevaeh, Layla, Olivia, Kinsley, Hazel, Piper\"\ne25323,2017/06/23,lunch,pasta,\ne25324,2017/06/23,dinner,sandwich,\"Emily, Carter, Kayden, Andrew\"\ne25331,2017/06/24,breakfast,peanut-butter-jam,\"Emily, Andrew\"\ne25332,2017/06/24,lunch,tacos,Kayden\ne25333,2017/06/24,dinner,steak,\"Andrew, Emily\"\ne25341,2017/06/25,breakfast,peanut-butter-jam,\ne25342,2017/06/25,lunch,indian food,\"Layla, Eva, Piper, Rylee\"\ne25343,2017/06/25,dinner,sandwich,\ne25350,2017/06/26,breakfast,toast and cheese,\ne25351,2017/06/26,lunch,chinese food,\ne25352,2017/06/26,dinner,chinese food,\ne25359,2017/06/27,breakfast,toast and cheese,\"Nora, Avery, Layla, Piper, Kinsley, Olivia, Hazel\"\ne25360,2017/06/27,lunch,a burger,\"Avery, Hazel, Nevaeh, Piper, Claire, Olivia, Nora, Eva, Kinsley, Lydia, Rylee\"\ne25361,2017/06/27,dinner,sandwich,\ne25369,2017/06/28,breakfast,cereals,\ne25370,2017/06/28,lunch,pasta,\ne25371,2017/06/28,dinner,sushi,\ne25378,2017/06/29,breakfast,oatmeal,\ne25379,2017/06/29,lunch,fish and chips,Benjamin\ne25380,2017/06/29,dinner,tacos,\"Andrew, Carter\"\ne25388,2017/06/30,breakfast,oatmeal,\ne25389,2017/06/30,lunch,fish and chips,\"Piper, Nora, Rylee, Lydia\"\ne25390,2017/06/30,dinner,sushi,\"Willow, Jackson\"\ne25397,2017/07/01,breakfast,\"eggs, sausages, and bread\",\ne25398,2017/07/01,lunch,steak,\ne25399,2017/07/01,dinner,a burger,\ne25407,2017/07/02,breakfast,pancakes,\ne25408,2017/07/02,lunch,fish and chips,\ne25409,2017/07/02,dinner,tacos,\ne25416,2017/07/03,breakfast,\"eggs, sausages, and bread\",\"Avery, Hazel, Olivia, Claire, Nevaeh, Piper, Kinsley, Layla\"\ne25417,2017/07/03,lunch,sandwich,\ne25418,2017/07/03,dinner,pasta,\ne25423,2017/07/04,breakfast,oatmeal,\ne25424,2017/07/04,lunch,sushi,\ne25425,2017/07/04,dinner,sushi,\ne25433,2017/07/05,breakfast,oatmeal,\"Emily, Kayden, Carter, Andrew\"\ne25434,2017/07/05,lunch,indian food,\ne25435,2017/07/05,dinner,sandwich,Andrew\ne25442,2017/07/06,breakfast,oatmeal,\"Avery, Benjamin, Willow\"\ne25443,2017/07/06,lunch,steak,\ne25444,2017/07/06,dinner,sandwich,\ne25451,2017/07/07,breakfast,toast and cheese,\"Kinsley, Hazel, Nevaeh\"\ne25452,2017/07/07,lunch,a burger,\ne25453,2017/07/07,dinner,tacos,\ne25460,2017/07/08,breakfast,peanut-butter-jam,\ne25461,2017/07/08,lunch,indian food,\"Benjamin, Avery\"\ne25462,2017/07/08,dinner,chinese food,\"Kinsley, Olivia, Claire\"\ne25469,2017/07/09,breakfast,peanut-butter-jam,\ne25470,2017/07/09,lunch,steak,\ne25471,2017/07/09,dinner,indian food,\"Emily, Carter, Andrew\"\ne25479,2017/07/10,breakfast,toast and cheese,\ne25480,2017/07/10,lunch,sandwich,\"Willow, Benjamin, Avery, Jackson\"\ne25481,2017/07/10,dinner,chinese food,\"Emily, Andrew, Kayden, Carter\"\ne25486,2017/07/11,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter, Andrew, Emily\"\ne25487,2017/07/11,lunch,chinese food,Emily\ne25488,2017/07/11,dinner,a burger,\"Andrew, Kayden, Carter\"\ne25494,2017/07/12,breakfast,toast and cheese,\"Layla, Hazel, Rylee, Piper\"\ne25495,2017/07/12,lunch,a burger,\ne25496,2017/07/12,dinner,pasta,\"Carter, Emily, Kayden, Andrew\"\ne25502,2017/07/13,breakfast,\"eggs, sausages, and bread\",\ne25503,2017/07/13,lunch,a burger,\ne25504,2017/07/13,dinner,tacos,Carter\ne25509,2017/07/14,breakfast,oatmeal,\ne25510,2017/07/14,lunch,steak,\ne25511,2017/07/14,dinner,a burger,\"Andrew, Emily, Carter, Kayden\"\ne25519,2017/07/15,breakfast,cereals,\ne25520,2017/07/15,lunch,chinese food,\"Kinsley, Lydia, Claire, Nora, Piper, Rylee, Layla, Olivia, Piper, Nevaeh, Eva\"\ne25521,2017/07/15,dinner,tacos,\ne25529,2017/07/16,breakfast,toast and cheese,\ne25530,2017/07/16,lunch,fish and chips,\"Avery, Willow, Benjamin, Jackson\"\ne25531,2017/07/16,dinner,pasta,\ne25539,2017/07/17,breakfast,pancakes,\ne25540,2017/07/17,lunch,a burger,\ne25541,2017/07/17,dinner,chinese food,\"Emily, Carter, Andrew, Kayden\"\ne25548,2017/07/18,breakfast,peanut-butter-jam,\"Rylee, Nora, Hazel, Piper, Kinsley, Nevaeh, Piper, Layla, Avery\"\ne25549,2017/07/18,lunch,steak,\ne25550,2017/07/18,dinner,tacos,\ne25556,2017/07/19,breakfast,toast and cheese,\ne25557,2017/07/19,lunch,steak,\ne25558,2017/07/19,dinner,steak,\ne25565,2017/07/20,breakfast,peanut-butter-jam,Kayden\ne25566,2017/07/20,lunch,fish and chips,\ne25567,2017/07/20,dinner,sandwich,\ne25573,2017/07/21,breakfast,toast and cheese,\ne25574,2017/07/21,lunch,steak,\ne25575,2017/07/21,dinner,sandwich,\"Avery, Benjamin, Willow\"\ne25582,2017/07/22,breakfast,peanut-butter-jam,\ne25583,2017/07/22,lunch,tacos,\"Kayden, Carter, Andrew, Emily\"\ne25584,2017/07/22,dinner,indian food,\"Carter, Emily, Kayden\"\ne25590,2017/07/23,breakfast,toast and cheese,\ne25591,2017/07/23,lunch,sushi,\ne25592,2017/07/23,dinner,chinese food,\"Emily, Andrew, Kayden, Carter\"\ne25599,2017/07/24,breakfast,\"eggs, sausages, and bread\",\ne25600,2017/07/24,lunch,fish and chips,\"Hazel, Piper, Avery, Lydia, Olivia, Layla, Rylee, Eva, Piper, Nora, Kinsley, Claire, Nevaeh\"\ne25601,2017/07/24,dinner,sushi,\"Kayden, Carter\"\ne25608,2017/07/25,breakfast,\"eggs, sausages, and bread\",\ne25609,2017/07/25,lunch,indian food,\ne25610,2017/07/25,dinner,fish and chips,\"Andrew, Carter, Emily\"\ne25617,2017/07/26,breakfast,pancakes,\"Avery, Eva, Nevaeh, Olivia, Kinsley\"\ne25618,2017/07/26,lunch,fish and chips,\"Kayden, Andrew\"\ne25619,2017/07/26,dinner,indian food,\"Kayden, Andrew, Carter\"\ne25625,2017/07/27,breakfast,toast and cheese,\ne25626,2017/07/27,lunch,a burger,\ne25627,2017/07/27,dinner,pasta,\ne25634,2017/07/28,breakfast,cereals,\"Rylee, Nora, Hazel, Nevaeh\"\ne25635,2017/07/28,lunch,indian food,\ne25636,2017/07/28,dinner,pasta,\ne25644,2017/07/29,breakfast,cereals,\ne25645,2017/07/29,lunch,indian food,\ne25646,2017/07/29,dinner,chinese food,\ne25653,2017/07/30,breakfast,oatmeal,\ne25654,2017/07/30,lunch,steak,\"Emily, Kayden, Andrew\"\ne25655,2017/07/30,dinner,indian food,\ne25663,2017/07/31,breakfast,cereals,\"Willow, Avery, Benjamin\"\ne25664,2017/07/31,lunch,steak,\"Carter, Kayden\"\ne25665,2017/07/31,dinner,indian food,\ne25672,2017/08/01,breakfast,oatmeal,\"Eva, Piper, Claire, Piper, Rylee, Olivia, Nora, Lydia, Hazel\"\ne25673,2017/08/01,lunch,sushi,\"Piper, Nevaeh, Kinsley\"\ne25674,2017/08/01,dinner,chinese food,\ne25682,2017/08/02,breakfast,pancakes,\"Carter, Andrew\"\ne25683,2017/08/02,lunch,sushi,\"Nevaeh, Avery, Rylee, Piper, Olivia, Nora\"\ne25684,2017/08/02,dinner,a burger,Kayden\ne25690,2017/08/03,breakfast,\"eggs, sausages, and bread\",\"Avery, Benjamin, Jackson, Willow\"\ne25691,2017/08/03,lunch,sandwich,\"Nora, Claire, Olivia, Eva, Piper, Layla, Kinsley, Nevaeh, Hazel, Rylee, Lydia, Piper, Avery\"\ne25692,2017/08/03,dinner,pasta,\"Hazel, Avery, Piper, Layla, Rylee, Kinsley, Nevaeh, Olivia, Lydia, Piper, Claire, Eva\"\ne25699,2017/08/04,breakfast,peanut-butter-jam,\ne25700,2017/08/04,lunch,chinese food,\ne25701,2017/08/04,dinner,sandwich,\ne25707,2017/08/05,breakfast,peanut-butter-jam,\"Carter, Andrew, Emily, Kayden\"\ne25708,2017/08/05,lunch,steak,\ne25709,2017/08/05,dinner,sushi,\ne25717,2017/08/06,breakfast,peanut-butter-jam,\"Kinsley, Avery, Claire, Eva, Olivia, Piper, Nora, Rylee\"\ne25718,2017/08/06,lunch,fish and chips,\ne25719,2017/08/06,dinner,indian food,\ne25726,2017/08/07,breakfast,toast and cheese,\ne25727,2017/08/07,lunch,sandwich,\ne25728,2017/08/07,dinner,sushi,\ne25736,2017/08/08,breakfast,cereals,Carter\ne25737,2017/08/08,lunch,pasta,\ne25738,2017/08/08,dinner,a burger,Jackson\ne25744,2017/08/09,breakfast,toast and cheese,Willow\ne25745,2017/08/09,lunch,indian food,\"Kayden, Emily\"\ne25746,2017/08/09,dinner,fish and chips,\ne25753,2017/08/10,breakfast,oatmeal,\"Claire, Piper\"\ne25754,2017/08/10,lunch,sandwich,\ne25755,2017/08/10,dinner,sushi,Layla\ne25762,2017/08/11,breakfast,oatmeal,\"Rylee, Piper, Avery, Layla, Eva, Claire, Piper, Nora, Nevaeh, Lydia, Kinsley\"\ne25763,2017/08/11,lunch,indian food,\ne25764,2017/08/11,dinner,fish and chips,\ne25772,2017/08/12,breakfast,toast and cheese,\ne25773,2017/08/12,lunch,sushi,\ne25774,2017/08/12,dinner,a burger,\ne25781,2017/08/13,breakfast,toast and cheese,\"Andrew, Emily\"\ne25782,2017/08/13,lunch,sandwich,Willow\ne25783,2017/08/13,dinner,sushi,Kayden\ne25789,2017/08/14,breakfast,cereals,\ne25790,2017/08/14,lunch,indian food,\"Avery, Nevaeh, Hazel, Layla\"\ne25791,2017/08/14,dinner,tacos,\"Andrew, Kayden, Emily, Carter\"\ne25798,2017/08/15,breakfast,\"eggs, sausages, and bread\",\"Avery, Willow, Jackson\"\ne25799,2017/08/15,lunch,tacos,\ne25800,2017/08/15,dinner,a burger,\ne25806,2017/08/16,breakfast,oatmeal,\"Andrew, Kayden\"\ne25807,2017/08/16,lunch,indian food,\"Layla, Olivia, Piper, Nora, Eva, Rylee, Avery, Kinsley, Hazel, Claire\"\ne25808,2017/08/16,dinner,tacos,Jackson\ne25815,2017/08/17,breakfast,peanut-butter-jam,\"Kayden, Andrew, Carter\"\ne25816,2017/08/17,lunch,chinese food,\ne25817,2017/08/17,dinner,chinese food,\ne25823,2017/08/18,breakfast,peanut-butter-jam,Andrew\ne25824,2017/08/18,lunch,fish and chips,\ne25825,2017/08/18,dinner,tacos,\"Andrew, Kayden, Carter\"\ne25832,2017/08/19,breakfast,\"eggs, sausages, and bread\",\ne25833,2017/08/19,lunch,a burger,\ne25834,2017/08/19,dinner,pasta,\ne25842,2017/08/20,breakfast,pancakes,\ne25843,2017/08/20,lunch,chinese food,\ne25844,2017/08/20,dinner,sandwich,\ne25851,2017/08/21,breakfast,pancakes,Layla\ne25852,2017/08/21,lunch,sandwich,Benjamin\ne25853,2017/08/21,dinner,pasta,Benjamin\ne25860,2017/08/22,breakfast,\"eggs, sausages, and bread\",\ne25861,2017/08/22,lunch,tacos,\"Kayden, Carter\"\ne25862,2017/08/22,dinner,chinese food,\ne25868,2017/08/23,breakfast,cereals,\"Kayden, Emily, Carter, Andrew\"\ne25869,2017/08/23,lunch,fish and chips,\ne25870,2017/08/23,dinner,indian food,\ne25878,2017/08/24,breakfast,oatmeal,\ne25879,2017/08/24,lunch,pasta,\"Kayden, Emily, Carter\"\ne25880,2017/08/24,dinner,pasta,\ne25887,2017/08/25,breakfast,cereals,\ne25888,2017/08/25,lunch,steak,\"Emily, Andrew, Carter, Kayden\"\ne25889,2017/08/25,dinner,indian food,\"Kayden, Andrew, Carter, Emily\"\ne25895,2017/08/26,breakfast,peanut-butter-jam,\ne25896,2017/08/26,lunch,steak,\ne25897,2017/08/26,dinner,sushi,Carter\ne25903,2017/08/27,breakfast,cereals,\ne25904,2017/08/27,lunch,sandwich,Carter\ne25905,2017/08/27,dinner,tacos,Emily\ne25911,2017/08/28,breakfast,cereals,Carter\ne25912,2017/08/28,lunch,steak,\"Avery, Willow, Benjamin\"\ne25913,2017/08/28,dinner,chinese food,\"Andrew, Emily\"\ne25920,2017/08/29,breakfast,toast and cheese,\ne25921,2017/08/29,lunch,fish and chips,\"Lydia, Nora, Rylee, Olivia, Nevaeh, Piper, Piper, Avery, Kinsley\"\ne25922,2017/08/29,dinner,pasta,\ne25929,2017/08/30,breakfast,\"eggs, sausages, and bread\",\ne25930,2017/08/30,lunch,tacos,\ne25931,2017/08/30,dinner,pasta,\ne25938,2017/08/31,breakfast,cereals,Andrew\ne25939,2017/08/31,lunch,pasta,\"Carter, Andrew, Kayden, Emily\"\ne25940,2017/08/31,dinner,a burger,\"Kinsley, Nevaeh, Avery, Lydia, Rylee, Piper, Claire, Olivia, Hazel, Nora, Eva\"\ne25945,2017/09/01,breakfast,peanut-butter-jam,\"Avery, Olivia, Piper, Hazel\"\ne25946,2017/09/01,lunch,chinese food,\"Rylee, Nora, Lydia, Avery\"\ne25947,2017/09/01,dinner,steak,\ne25954,2017/09/02,breakfast,\"eggs, sausages, and bread\",\ne25955,2017/09/02,lunch,pasta,\ne25956,2017/09/02,dinner,steak,\ne25964,2017/09/03,breakfast,peanut-butter-jam,\ne25965,2017/09/03,lunch,fish and chips,\ne25966,2017/09/03,dinner,a burger,\"Willow, Jackson, Avery, Benjamin\"\ne25973,2017/09/04,breakfast,peanut-butter-jam,\"Andrew, Kayden, Emily\"\ne25974,2017/09/04,lunch,fish and chips,\ne25975,2017/09/04,dinner,a burger,\ne25982,2017/09/05,breakfast,cereals,\ne25983,2017/09/05,lunch,steak,\"Avery, Jackson\"\ne25984,2017/09/05,dinner,indian food,\ne25991,2017/09/06,breakfast,peanut-butter-jam,\"Kayden, Emily\"\ne25992,2017/09/06,lunch,sushi,\ne25993,2017/09/06,dinner,fish and chips,\"Carter, Emily, Andrew, Kayden\"\ne25999,2017/09/07,breakfast,cereals,Andrew\ne26000,2017/09/07,lunch,sushi,\"Layla, Nora, Piper, Eva, Lydia, Rylee, Kinsley, Avery, Piper\"\ne26001,2017/09/07,dinner,a burger,\ne26008,2017/09/08,breakfast,cereals,\"Andrew, Kayden\"\ne26009,2017/09/08,lunch,tacos,\ne26010,2017/09/08,dinner,pasta,\ne26017,2017/09/09,breakfast,\"eggs, sausages, and bread\",\ne26018,2017/09/09,lunch,fish and chips,\ne26019,2017/09/09,dinner,fish and chips,\ne26025,2017/09/10,breakfast,toast and cheese,Jackson\ne26026,2017/09/10,lunch,steak,\"Piper, Lydia, Claire, Kinsley, Layla, Piper, Nora, Olivia, Nevaeh, Eva, Avery, Hazel\"\ne26027,2017/09/10,dinner,sushi,\ne26033,2017/09/11,breakfast,peanut-butter-jam,\ne26034,2017/09/11,lunch,sushi,Carter\ne26035,2017/09/11,dinner,sushi,\"Rylee, Claire, Hazel, Piper, Olivia, Nora, Piper, Avery, Eva\"\ne26042,2017/09/12,breakfast,toast and cheese,\"Carter, Kayden, Andrew\"\ne26043,2017/09/12,lunch,chinese food,\ne26044,2017/09/12,dinner,sandwich,\ne26049,2017/09/13,breakfast,cereals,\"Willow, Benjamin\"\ne26050,2017/09/13,lunch,fish and chips,\"Olivia, Avery, Rylee, Piper, Hazel, Layla, Eva, Kinsley, Nevaeh, Nora, Claire, Piper\"\ne26051,2017/09/13,dinner,a burger,Andrew\ne26058,2017/09/14,breakfast,toast and cheese,\ne26059,2017/09/14,lunch,fish and chips,\ne26060,2017/09/14,dinner,indian food,\"Carter, Emily\"\ne26067,2017/09/15,breakfast,peanut-butter-jam,\"Nora, Piper, Avery\"\ne26068,2017/09/15,lunch,sushi,\"Hazel, Olivia\"\ne26069,2017/09/15,dinner,chinese food,\ne26076,2017/09/16,breakfast,peanut-butter-jam,\"Eva, Nora, Piper, Rylee, Hazel, Lydia, Olivia, Nevaeh, Layla, Claire, Piper, Kinsley, Avery\"\ne26077,2017/09/16,lunch,sushi,\ne26078,2017/09/16,dinner,a burger,Emily\ne26086,2017/09/17,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Kayden, Andrew\"\ne26087,2017/09/17,lunch,sandwich,\"Carter, Andrew, Kayden, Emily\"\ne26088,2017/09/17,dinner,a burger,\ne26095,2017/09/18,breakfast,cereals,\ne26096,2017/09/18,lunch,sushi,\"Emily, Carter, Andrew, Kayden\"\ne26097,2017/09/18,dinner,sushi,\"Hazel, Claire\"\ne26103,2017/09/19,breakfast,pancakes,\ne26104,2017/09/19,lunch,fish and chips,\"Nevaeh, Hazel, Piper, Olivia, Rylee, Lydia, Claire, Piper, Nora\"\ne26105,2017/09/19,dinner,tacos,\"Emily, Carter, Kayden, Andrew\"\ne26110,2017/09/20,breakfast,pancakes,\ne26111,2017/09/20,lunch,steak,\ne26112,2017/09/20,dinner,fish and chips,\ne26119,2017/09/21,breakfast,\"eggs, sausages, and bread\",\ne26120,2017/09/21,lunch,pasta,\ne26121,2017/09/21,dinner,sushi,\ne26128,2017/09/22,breakfast,\"eggs, sausages, and bread\",\ne26129,2017/09/22,lunch,tacos,\ne26130,2017/09/22,dinner,fish and chips,\ne26138,2017/09/23,breakfast,pancakes,\ne26139,2017/09/23,lunch,sushi,\"Carter, Andrew\"\ne26140,2017/09/23,dinner,indian food,Carter\ne26148,2017/09/24,breakfast,oatmeal,\"Hazel, Piper, Lydia, Olivia, Claire\"\ne26149,2017/09/24,lunch,steak,\ne26150,2017/09/24,dinner,fish and chips,\"Piper, Piper, Hazel, Layla, Kinsley, Avery\"\ne26156,2017/09/25,breakfast,toast and cheese,\"Emily, Carter, Andrew, Kayden\"\ne26157,2017/09/25,lunch,fish and chips,\"Nora, Eva, Hazel, Nevaeh, Claire, Olivia, Piper, Rylee\"\ne26158,2017/09/25,dinner,tacos,\"Andrew, Emily\"\ne26166,2017/09/26,breakfast,oatmeal,\ne26167,2017/09/26,lunch,pasta,\ne26168,2017/09/26,dinner,chinese food,\ne26174,2017/09/27,breakfast,toast and cheese,\ne26175,2017/09/27,lunch,sandwich,\ne26176,2017/09/27,dinner,a burger,\ne26181,2017/09/28,breakfast,pancakes,\ne26182,2017/09/28,lunch,sandwich,\ne26183,2017/09/28,dinner,pasta,\ne26190,2017/09/29,breakfast,cereals,\"Claire, Avery, Nevaeh, Kinsley, Eva\"\ne26191,2017/09/29,lunch,pasta,\ne26192,2017/09/29,dinner,fish and chips,\"Nora, Eva, Piper, Avery, Kinsley, Piper, Rylee, Nevaeh\"\ne26199,2017/09/30,breakfast,peanut-butter-jam,Emily\ne26200,2017/09/30,lunch,sushi,Willow\ne26201,2017/09/30,dinner,chinese food,\ne26209,2017/10/01,breakfast,cereals,\"Nora, Layla, Claire, Kinsley, Nevaeh, Piper, Piper, Olivia, Hazel, Lydia, Eva\"\ne26210,2017/10/01,lunch,sushi,\ne26211,2017/10/01,dinner,chinese food,\"Emily, Andrew, Kayden\"\ne26216,2017/10/02,breakfast,pancakes,\ne26217,2017/10/02,lunch,fish and chips,\ne26218,2017/10/02,dinner,fish and chips,\ne26224,2017/10/03,breakfast,peanut-butter-jam,\"Jackson, Avery, Benjamin\"\ne26225,2017/10/03,lunch,a burger,Andrew\ne26226,2017/10/03,dinner,fish and chips,\"Carter, Andrew, Emily\"\ne26234,2017/10/04,breakfast,toast and cheese,\"Kayden, Carter, Andrew\"\ne26235,2017/10/04,lunch,a burger,\"Kinsley, Nevaeh, Avery, Piper, Piper\"\ne26236,2017/10/04,dinner,pasta,\"Emily, Kayden, Carter\"\ne26244,2017/10/05,breakfast,\"eggs, sausages, and bread\",\ne26245,2017/10/05,lunch,sushi,\ne26246,2017/10/05,dinner,a burger,Emily\ne26254,2017/10/06,breakfast,toast and cheese,Emily\ne26255,2017/10/06,lunch,tacos,\ne26256,2017/10/06,dinner,pasta,\"Claire, Piper, Piper, Olivia, Kinsley, Hazel, Avery, Lydia\"\ne26262,2017/10/07,breakfast,toast and cheese,\"Emily, Andrew, Carter\"\ne26263,2017/10/07,lunch,pasta,\ne26264,2017/10/07,dinner,tacos,\ne26271,2017/10/08,breakfast,peanut-butter-jam,\"Benjamin, Jackson, Willow, Avery\"\ne26272,2017/10/08,lunch,fish and chips,\ne26273,2017/10/08,dinner,sushi,\ne26280,2017/10/09,breakfast,oatmeal,\ne26281,2017/10/09,lunch,tacos,\ne26282,2017/10/09,dinner,fish and chips,\"Kayden, Carter, Andrew, Emily\"\ne26289,2017/10/10,breakfast,pancakes,\ne26290,2017/10/10,lunch,sandwich,\ne26291,2017/10/10,dinner,sushi,\ne26299,2017/10/11,breakfast,cereals,\"Rylee, Kinsley, Piper, Nora, Hazel, Nevaeh, Olivia, Piper, Lydia, Eva\"\ne26300,2017/10/11,lunch,sandwich,\"Eva, Piper, Piper, Hazel\"\ne26301,2017/10/11,dinner,sandwich,\"Lydia, Nevaeh\"\ne26308,2017/10/12,breakfast,pancakes,\ne26309,2017/10/12,lunch,sushi,\"Nora, Nevaeh, Olivia, Lydia, Rylee, Avery, Eva, Claire, Hazel, Piper\"\ne26310,2017/10/12,dinner,tacos,\ne26318,2017/10/13,breakfast,toast and cheese,\ne26319,2017/10/13,lunch,sandwich,Jackson\ne26320,2017/10/13,dinner,tacos,\ne26327,2017/10/14,breakfast,\"eggs, sausages, and bread\",\ne26328,2017/10/14,lunch,a burger,\ne26329,2017/10/14,dinner,steak,\ne26334,2017/10/15,breakfast,toast and cheese,\ne26335,2017/10/15,lunch,fish and chips,Jackson\ne26336,2017/10/15,dinner,indian food,\ne26343,2017/10/16,breakfast,peanut-butter-jam,\ne26344,2017/10/16,lunch,a burger,\ne26345,2017/10/16,dinner,steak,\"Jackson, Avery\"\ne26350,2017/10/17,breakfast,toast and cheese,\"Hazel, Claire, Eva, Rylee, Avery, Piper, Layla, Nora\"\ne26351,2017/10/17,lunch,pasta,\"Andrew, Emily, Carter, Kayden\"\ne26352,2017/10/17,dinner,sandwich,\ne26358,2017/10/18,breakfast,\"eggs, sausages, and bread\",\ne26359,2017/10/18,lunch,sandwich,\"Kayden, Emily, Andrew, Carter\"\ne26360,2017/10/18,dinner,tacos,Emily\ne26367,2017/10/19,breakfast,peanut-butter-jam,\ne26368,2017/10/19,lunch,sushi,\ne26369,2017/10/19,dinner,indian food,\ne26375,2017/10/20,breakfast,pancakes,Andrew\ne26376,2017/10/20,lunch,pasta,\ne26377,2017/10/20,dinner,tacos,\ne26384,2017/10/21,breakfast,oatmeal,\ne26385,2017/10/21,lunch,steak,\ne26386,2017/10/21,dinner,steak,\ne26394,2017/10/22,breakfast,cereals,\ne26395,2017/10/22,lunch,fish and chips,\ne26396,2017/10/22,dinner,sandwich,\ne26404,2017/10/23,breakfast,peanut-butter-jam,\"Benjamin, Avery, Willow, Jackson\"\ne26405,2017/10/23,lunch,fish and chips,\"Andrew, Kayden, Carter\"\ne26406,2017/10/23,dinner,a burger,\ne26413,2017/10/24,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily, Andrew, Kayden\"\ne26414,2017/10/24,lunch,sandwich,\ne26415,2017/10/24,dinner,tacos,\ne26421,2017/10/25,breakfast,\"eggs, sausages, and bread\",\ne26422,2017/10/25,lunch,pasta,\"Avery, Jackson, Benjamin, Willow\"\ne26423,2017/10/25,dinner,sushi,\ne26429,2017/10/26,breakfast,cereals,\ne26430,2017/10/26,lunch,fish and chips,\ne26431,2017/10/26,dinner,steak,\"Eva, Nora\"\ne26438,2017/10/27,breakfast,pancakes,Piper\ne26439,2017/10/27,lunch,a burger,\ne26440,2017/10/27,dinner,fish and chips,\ne26447,2017/10/28,breakfast,toast and cheese,\"Benjamin, Avery, Willow\"\ne26448,2017/10/28,lunch,tacos,\ne26449,2017/10/28,dinner,chinese food,\ne26456,2017/10/29,breakfast,oatmeal,\ne26457,2017/10/29,lunch,sandwich,\ne26458,2017/10/29,dinner,sushi,\ne26465,2017/10/30,breakfast,peanut-butter-jam,\ne26466,2017/10/30,lunch,a burger,\ne26467,2017/10/30,dinner,pasta,\ne26474,2017/10/31,breakfast,toast and cheese,\"Emily, Andrew\"\ne26475,2017/10/31,lunch,indian food,\"Emily, Carter, Kayden\"\ne26476,2017/10/31,dinner,indian food,\ne26482,2017/11/01,breakfast,oatmeal,\ne26483,2017/11/01,lunch,sandwich,\ne26484,2017/11/01,dinner,a burger,\ne26492,2017/11/02,breakfast,peanut-butter-jam,\ne26493,2017/11/02,lunch,steak,Jackson\ne26494,2017/11/02,dinner,a burger,\"Jackson, Willow, Avery\"\ne26501,2017/11/03,breakfast,peanut-butter-jam,\"Willow, Jackson, Benjamin\"\ne26502,2017/11/03,lunch,tacos,Willow\ne26503,2017/11/03,dinner,indian food,\ne26510,2017/11/04,breakfast,peanut-butter-jam,\ne26511,2017/11/04,lunch,sandwich,\ne26512,2017/11/04,dinner,steak,\"Emily, Andrew, Kayden, Carter\"\ne26518,2017/11/05,breakfast,\"eggs, sausages, and bread\",\"Eva, Hazel, Avery, Piper, Nevaeh, Olivia, Kinsley, Claire, Layla\"\ne26519,2017/11/05,lunch,chinese food,\"Avery, Lydia, Nora, Layla, Eva, Rylee, Kinsley, Claire, Olivia, Piper\"\ne26520,2017/11/05,dinner,a burger,\ne26527,2017/11/06,breakfast,peanut-butter-jam,\"Kayden, Emily, Andrew, Carter\"\ne26528,2017/11/06,lunch,a burger,\ne26529,2017/11/06,dinner,tacos,\ne26534,2017/11/07,breakfast,cereals,\ne26535,2017/11/07,lunch,chinese food,\ne26536,2017/11/07,dinner,steak,\"Rylee, Hazel, Piper\"\ne26543,2017/11/08,breakfast,peanut-butter-jam,\"Kayden, Emily, Andrew, Carter\"\ne26544,2017/11/08,lunch,chinese food,\"Carter, Emily, Kayden, Andrew\"\ne26545,2017/11/08,dinner,sushi,Benjamin\ne26553,2017/11/09,breakfast,toast and cheese,\"Rylee, Kinsley, Eva, Lydia\"\ne26554,2017/11/09,lunch,chinese food,\"Kayden, Carter, Emily\"\ne26555,2017/11/09,dinner,pasta,\ne26562,2017/11/10,breakfast,cereals,\ne26563,2017/11/10,lunch,sushi,\ne26564,2017/11/10,dinner,tacos,\ne26571,2017/11/11,breakfast,\"eggs, sausages, and bread\",\ne26572,2017/11/11,lunch,indian food,\"Emily, Andrew\"\ne26573,2017/11/11,dinner,indian food,\ne26580,2017/11/12,breakfast,peanut-butter-jam,\"Emily, Kayden, Andrew\"\ne26581,2017/11/12,lunch,fish and chips,\"Piper, Nevaeh, Piper, Claire, Avery, Nora, Lydia, Kinsley, Hazel\"\ne26582,2017/11/12,dinner,tacos,\ne26588,2017/11/13,breakfast,\"eggs, sausages, and bread\",\ne26589,2017/11/13,lunch,steak,\ne26590,2017/11/13,dinner,sushi,\ne26597,2017/11/14,breakfast,peanut-butter-jam,\ne26598,2017/11/14,lunch,sushi,\"Willow, Avery\"\ne26599,2017/11/14,dinner,chinese food,\ne26606,2017/11/15,breakfast,toast and cheese,Andrew\ne26607,2017/11/15,lunch,chinese food,\"Emily, Carter, Andrew\"\ne26608,2017/11/15,dinner,sandwich,\ne26615,2017/11/16,breakfast,\"eggs, sausages, and bread\",\ne26616,2017/11/16,lunch,indian food,\"Carter, Andrew, Emily\"\ne26617,2017/11/16,dinner,tacos,Eva\ne26622,2017/11/17,breakfast,peanut-butter-jam,\ne26623,2017/11/17,lunch,indian food,\ne26624,2017/11/17,dinner,pasta,\ne26630,2017/11/18,breakfast,peanut-butter-jam,\"Andrew, Kayden\"\ne26631,2017/11/18,lunch,steak,\ne26632,2017/11/18,dinner,chinese food,Carter\ne26637,2017/11/19,breakfast,\"eggs, sausages, and bread\",\ne26638,2017/11/19,lunch,fish and chips,\ne26639,2017/11/19,dinner,steak,\"Kayden, Carter, Emily\"\ne26645,2017/11/20,breakfast,\"eggs, sausages, and bread\",\ne26646,2017/11/20,lunch,indian food,Andrew\ne26647,2017/11/20,dinner,sandwich,\ne26652,2017/11/21,breakfast,pancakes,\ne26653,2017/11/21,lunch,chinese food,\"Layla, Lydia, Nora, Nevaeh, Hazel, Piper, Avery, Eva, Claire, Olivia, Kinsley, Rylee\"\ne26654,2017/11/21,dinner,indian food,\ne26660,2017/11/22,breakfast,oatmeal,\ne26661,2017/11/22,lunch,tacos,\ne26662,2017/11/22,dinner,indian food,\"Kayden, Emily, Andrew\"\ne26669,2017/11/23,breakfast,oatmeal,\"Avery, Hazel, Rylee, Layla, Piper\"\ne26670,2017/11/23,lunch,pasta,\"Willow, Jackson\"\ne26671,2017/11/23,dinner,steak,\ne26678,2017/11/24,breakfast,\"eggs, sausages, and bread\",\ne26679,2017/11/24,lunch,pasta,\ne26680,2017/11/24,dinner,pasta,\ne26686,2017/11/25,breakfast,toast and cheese,\ne26687,2017/11/25,lunch,chinese food,\ne26688,2017/11/25,dinner,a burger,\ne26695,2017/11/26,breakfast,toast and cheese,\ne26696,2017/11/26,lunch,chinese food,\ne26697,2017/11/26,dinner,sandwich,\"Avery, Lydia, Claire, Layla, Nevaeh, Kinsley, Nora, Eva, Piper, Rylee, Olivia, Piper, Hazel\"\ne26705,2017/11/27,breakfast,peanut-butter-jam,\"Andrew, Carter\"\ne26706,2017/11/27,lunch,steak,\"Avery, Nora, Claire, Rylee, Eva, Nevaeh, Hazel, Layla, Piper, Olivia, Piper, Kinsley\"\ne26707,2017/11/27,dinner,pasta,Carter\ne26713,2017/11/28,breakfast,toast and cheese,\ne26714,2017/11/28,lunch,indian food,\ne26715,2017/11/28,dinner,fish and chips,\ne26722,2017/11/29,breakfast,cereals,\"Avery, Willow, Jackson\"\ne26723,2017/11/29,lunch,fish and chips,\ne26724,2017/11/29,dinner,a burger,\ne26731,2017/11/30,breakfast,cereals,\ne26732,2017/11/30,lunch,tacos,\ne26733,2017/11/30,dinner,chinese food,\ne26740,2017/12/01,breakfast,pancakes,\"Claire, Hazel, Eva, Nora, Olivia, Piper, Layla, Avery, Lydia, Kinsley, Piper, Rylee, Nevaeh\"\ne26741,2017/12/01,lunch,steak,\"Carter, Kayden\"\ne26742,2017/12/01,dinner,indian food,\"Rylee, Eva, Olivia, Lydia, Piper, Nevaeh\"\ne26749,2017/12/02,breakfast,pancakes,\ne26750,2017/12/02,lunch,sushi,\ne26751,2017/12/02,dinner,indian food,\ne26758,2017/12/03,breakfast,cereals,\ne26759,2017/12/03,lunch,fish and chips,\"Lydia, Nevaeh, Piper, Rylee, Layla, Eva, Hazel, Nora, Olivia\"\ne26760,2017/12/03,dinner,sandwich,\"Kayden, Andrew, Carter\"\ne26767,2017/12/04,breakfast,peanut-butter-jam,\ne26768,2017/12/04,lunch,sushi,\"Carter, Emily, Kayden\"\ne26769,2017/12/04,dinner,a burger,\"Avery, Benjamin, Jackson, Willow\"\ne26775,2017/12/05,breakfast,oatmeal,\"Andrew, Emily, Carter\"\ne26776,2017/12/05,lunch,chinese food,\ne26777,2017/12/05,dinner,sandwich,\ne26785,2017/12/06,breakfast,oatmeal,\ne26786,2017/12/06,lunch,fish and chips,Benjamin\ne26787,2017/12/06,dinner,steak,\"Benjamin, Jackson\"\ne26793,2017/12/07,breakfast,oatmeal,\ne26794,2017/12/07,lunch,pasta,\ne26795,2017/12/07,dinner,chinese food,\ne26802,2017/12/08,breakfast,pancakes,\"Emily, Kayden, Andrew\"\ne26803,2017/12/08,lunch,steak,\ne26804,2017/12/08,dinner,a burger,\ne26811,2017/12/09,breakfast,pancakes,\ne26812,2017/12/09,lunch,tacos,\ne26813,2017/12/09,dinner,a burger,\"Lydia, Eva, Kinsley, Nevaeh, Nora, Claire, Piper, Avery, Olivia\"\ne26820,2017/12/10,breakfast,\"eggs, sausages, and bread\",\ne26821,2017/12/10,lunch,sandwich,\"Emily, Kayden, Andrew\"\ne26822,2017/12/10,dinner,chinese food,Carter\ne26828,2017/12/11,breakfast,\"eggs, sausages, and bread\",\ne26829,2017/12/11,lunch,a burger,\ne26830,2017/12/11,dinner,sushi,\ne26837,2017/12/12,breakfast,oatmeal,\ne26838,2017/12/12,lunch,sushi,\"Willow, Benjamin, Jackson\"\ne26839,2017/12/12,dinner,a burger,\ne26846,2017/12/13,breakfast,toast and cheese,\ne26847,2017/12/13,lunch,tacos,\ne26848,2017/12/13,dinner,a burger,\ne26853,2017/12/14,breakfast,pancakes,\ne26854,2017/12/14,lunch,sandwich,\ne26855,2017/12/14,dinner,tacos,\ne26861,2017/12/15,breakfast,\"eggs, sausages, and bread\",\ne26862,2017/12/15,lunch,pasta,\"Claire, Eva, Piper, Nevaeh, Layla, Lydia\"\ne26863,2017/12/15,dinner,indian food,\ne26870,2017/12/16,breakfast,oatmeal,\ne26871,2017/12/16,lunch,sandwich,\ne26872,2017/12/16,dinner,indian food,\ne26878,2017/12/17,breakfast,peanut-butter-jam,\ne26879,2017/12/17,lunch,sandwich,\ne26880,2017/12/17,dinner,steak,\"Kinsley, Piper, Nora, Rylee\"\ne26886,2017/12/18,breakfast,\"eggs, sausages, and bread\",\ne26887,2017/12/18,lunch,a burger,\ne26888,2017/12/18,dinner,a burger,\"Kayden, Andrew, Emily\"\ne26895,2017/12/19,breakfast,\"eggs, sausages, and bread\",\"Olivia, Piper, Eva\"\ne26896,2017/12/19,lunch,indian food,\"Emily, Kayden, Andrew\"\ne26897,2017/12/19,dinner,pasta,Nora\ne26904,2017/12/20,breakfast,peanut-butter-jam,\ne26905,2017/12/20,lunch,indian food,\"Andrew, Emily\"\ne26906,2017/12/20,dinner,a burger,\ne26913,2017/12/21,breakfast,oatmeal,\ne26914,2017/12/21,lunch,indian food,\ne26915,2017/12/21,dinner,sushi,\ne26921,2017/12/22,breakfast,toast and cheese,\"Willow, Jackson, Avery\"\ne26922,2017/12/22,lunch,a burger,\"Nevaeh, Layla, Piper, Nora, Kinsley, Claire, Piper, Olivia, Lydia, Rylee, Eva, Hazel\"\ne26923,2017/12/22,dinner,tacos,\ne26930,2017/12/23,breakfast,pancakes,\ne26931,2017/12/23,lunch,sushi,\ne26932,2017/12/23,dinner,sandwich,\ne26938,2017/12/24,breakfast,pancakes,\"Carter, Andrew\"\ne26939,2017/12/24,lunch,chinese food,\ne26940,2017/12/24,dinner,sandwich,\ne26948,2017/12/25,breakfast,peanut-butter-jam,Emily\ne26949,2017/12/25,lunch,steak,\ne26950,2017/12/25,dinner,tacos,\ne26957,2017/12/26,breakfast,cereals,\"Hazel, Nevaeh, Lydia, Layla, Rylee, Piper\"\ne26958,2017/12/26,lunch,steak,\"Benjamin, Jackson, Willow\"\ne26959,2017/12/26,dinner,sushi,Andrew\ne26965,2017/12/27,breakfast,\"eggs, sausages, and bread\",Carter\ne26966,2017/12/27,lunch,sandwich,\ne26967,2017/12/27,dinner,chinese food,\ne26972,2017/12/28,breakfast,oatmeal,\"Andrew, Emily, Kayden\"\ne26973,2017/12/28,lunch,a burger,\ne26974,2017/12/28,dinner,tacos,\ne26980,2017/12/29,breakfast,pancakes,\ne26981,2017/12/29,lunch,tacos,Emily\ne26982,2017/12/29,dinner,pasta,\ne26989,2017/12/30,breakfast,peanut-butter-jam,\ne26990,2017/12/30,lunch,tacos,\ne26991,2017/12/30,dinner,sushi,\ne26998,2017/12/31,breakfast,\"eggs, sausages, and bread\",\ne26999,2017/12/31,lunch,indian food,\ne27000,2017/12/31,dinner,a burger,\"Emily, Andrew, Kayden, Carter\"\ne27209,2018/01/01,breakfast,toast and cheese,\ne27210,2018/01/01,lunch,chinese food,\"Emily, Andrew, Kayden, Carter\"\ne27211,2018/01/01,dinner,chinese food,\ne27218,2018/01/02,breakfast,oatmeal,\ne27219,2018/01/02,lunch,indian food,\ne27220,2018/01/02,dinner,chinese food,\"Kayden, Emily, Carter\"\ne27228,2018/01/03,breakfast,cereals,\ne27229,2018/01/03,lunch,steak,\"Carter, Andrew\"\ne27230,2018/01/03,dinner,steak,\ne27236,2018/01/04,breakfast,peanut-butter-jam,\"Emily, Kayden\"\ne27237,2018/01/04,lunch,pasta,\"Emily, Andrew, Carter\"\ne27238,2018/01/04,dinner,pasta,\"Hazel, Piper, Avery, Olivia, Eva, Layla, Kinsley, Claire, Nevaeh\"\ne27245,2018/01/05,breakfast,oatmeal,\"Emily, Kayden, Carter, Andrew\"\ne27246,2018/01/05,lunch,sandwich,\"Piper, Claire\"\ne27247,2018/01/05,dinner,a burger,\ne27254,2018/01/06,breakfast,pancakes,\ne27255,2018/01/06,lunch,pasta,\"Kayden, Carter\"\ne27256,2018/01/06,dinner,steak,\"Kayden, Carter\"\ne27262,2018/01/07,breakfast,toast and cheese,\"Nora, Eva, Olivia\"\ne27263,2018/01/07,lunch,fish and chips,\ne27264,2018/01/07,dinner,a burger,\ne27271,2018/01/08,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter\"\ne27272,2018/01/08,lunch,tacos,\"Carter, Andrew, Kayden\"\ne27273,2018/01/08,dinner,steak,\ne27280,2018/01/09,breakfast,pancakes,Emily\ne27281,2018/01/09,lunch,steak,\ne27282,2018/01/09,dinner,pasta,\ne27288,2018/01/10,breakfast,oatmeal,\ne27289,2018/01/10,lunch,chinese food,\ne27290,2018/01/10,dinner,indian food,\"Hazel, Rylee, Nora, Lydia, Piper, Layla, Kinsley, Piper\"\ne27296,2018/01/11,breakfast,pancakes,\"Eva, Piper, Rylee, Hazel, Olivia, Nora, Nevaeh, Layla, Avery, Lydia, Kinsley, Piper, Claire\"\ne27297,2018/01/11,lunch,sushi,\ne27298,2018/01/11,dinner,sushi,\"Andrew, Kayden, Carter, Emily\"\ne27305,2018/01/12,breakfast,pancakes,\ne27306,2018/01/12,lunch,tacos,\ne27307,2018/01/12,dinner,indian food,\"Layla, Piper, Eva, Claire, Nevaeh, Olivia, Avery, Kinsley\"\ne27312,2018/01/13,breakfast,pancakes,\ne27313,2018/01/13,lunch,fish and chips,Emily\ne27314,2018/01/13,dinner,chinese food,\"Kayden, Carter, Emily, Andrew\"\ne27322,2018/01/14,breakfast,\"eggs, sausages, and bread\",\ne27323,2018/01/14,lunch,sandwich,\"Avery, Kinsley, Lydia, Layla, Nevaeh, Rylee, Piper\"\ne27324,2018/01/14,dinner,tacos,\ne27330,2018/01/15,breakfast,pancakes,\ne27331,2018/01/15,lunch,sandwich,Willow\ne27332,2018/01/15,dinner,sandwich,\"Benjamin, Avery\"\ne27339,2018/01/16,breakfast,toast and cheese,\"Emily, Kayden, Andrew\"\ne27340,2018/01/16,lunch,indian food,\"Benjamin, Avery\"\ne27341,2018/01/16,dinner,sandwich,\"Layla, Eva, Kinsley, Nora, Hazel, Lydia\"\ne27348,2018/01/17,breakfast,peanut-butter-jam,\ne27349,2018/01/17,lunch,a burger,\"Emily, Andrew\"\ne27350,2018/01/17,dinner,tacos,\ne27357,2018/01/18,breakfast,toast and cheese,\ne27358,2018/01/18,lunch,a burger,\"Andrew, Emily, Carter, Kayden\"\ne27359,2018/01/18,dinner,sandwich,\ne27366,2018/01/19,breakfast,peanut-butter-jam,\ne27367,2018/01/19,lunch,indian food,\ne27368,2018/01/19,dinner,chinese food,\ne27376,2018/01/20,breakfast,oatmeal,\ne27377,2018/01/20,lunch,pasta,\ne27378,2018/01/20,dinner,sushi,\ne27385,2018/01/21,breakfast,cereals,\ne27386,2018/01/21,lunch,steak,\"Olivia, Eva, Piper, Rylee, Hazel, Nevaeh, Lydia, Layla\"\ne27387,2018/01/21,dinner,sandwich,\ne27393,2018/01/22,breakfast,toast and cheese,\ne27394,2018/01/22,lunch,pasta,\"Andrew, Carter\"\ne27395,2018/01/22,dinner,fish and chips,\"Nevaeh, Layla, Kinsley\"\ne27403,2018/01/23,breakfast,toast and cheese,\ne27404,2018/01/23,lunch,indian food,\ne27405,2018/01/23,dinner,sushi,\ne27412,2018/01/24,breakfast,cereals,\"Carter, Kayden, Emily\"\ne27413,2018/01/24,lunch,fish and chips,\"Emily, Carter\"\ne27414,2018/01/24,dinner,a burger,\ne27421,2018/01/25,breakfast,pancakes,\ne27422,2018/01/25,lunch,fish and chips,\ne27423,2018/01/25,dinner,fish and chips,\"Nevaeh, Nora, Claire, Layla, Olivia, Rylee, Eva, Piper\"\ne27429,2018/01/26,breakfast,\"eggs, sausages, and bread\",\ne27430,2018/01/26,lunch,chinese food,Kayden\ne27431,2018/01/26,dinner,chinese food,\ne27438,2018/01/27,breakfast,peanut-butter-jam,\ne27439,2018/01/27,lunch,tacos,\ne27440,2018/01/27,dinner,pasta,\"Avery, Jackson, Benjamin, Willow\"\ne27446,2018/01/28,breakfast,cereals,\"Andrew, Kayden\"\ne27447,2018/01/28,lunch,chinese food,\"Kayden, Andrew, Carter\"\ne27448,2018/01/28,dinner,sandwich,Emily\ne27455,2018/01/29,breakfast,cereals,Jackson\ne27456,2018/01/29,lunch,fish and chips,\"Piper, Kinsley, Avery, Hazel, Layla, Olivia, Claire, Eva, Lydia, Nora, Rylee\"\ne27457,2018/01/29,dinner,chinese food,\"Kayden, Emily\"\ne27465,2018/01/30,breakfast,pancakes,\"Avery, Layla, Piper, Kinsley, Eva\"\ne27466,2018/01/30,lunch,chinese food,\ne27467,2018/01/30,dinner,sushi,\ne27474,2018/01/31,breakfast,oatmeal,\ne27475,2018/01/31,lunch,indian food,Emily\ne27476,2018/01/31,dinner,sushi,\ne27482,2018/02/01,breakfast,peanut-butter-jam,\ne27483,2018/02/01,lunch,pasta,\ne27484,2018/02/01,dinner,sandwich,\ne27491,2018/02/02,breakfast,\"eggs, sausages, and bread\",\"Willow, Jackson, Avery\"\ne27492,2018/02/02,lunch,sandwich,\ne27493,2018/02/02,dinner,tacos,\"Kinsley, Nora, Olivia, Hazel, Piper, Rylee\"\ne27499,2018/02/03,breakfast,cereals,\"Andrew, Carter\"\ne27500,2018/02/03,lunch,sushi,\ne27501,2018/02/03,dinner,sushi,\ne27508,2018/02/04,breakfast,cereals,\ne27509,2018/02/04,lunch,chinese food,\ne27510,2018/02/04,dinner,chinese food,\ne27518,2018/02/05,breakfast,toast and cheese,\"Avery, Benjamin, Jackson\"\ne27519,2018/02/05,lunch,tacos,\ne27520,2018/02/05,dinner,chinese food,\ne27527,2018/02/06,breakfast,\"eggs, sausages, and bread\",\ne27528,2018/02/06,lunch,tacos,\"Andrew, Emily, Kayden, Carter\"\ne27529,2018/02/06,dinner,steak,\"Rylee, Kinsley, Piper, Claire, Nora, Eva, Lydia, Nevaeh, Hazel, Avery\"\ne27535,2018/02/07,breakfast,toast and cheese,\ne27536,2018/02/07,lunch,indian food,\"Avery, Benjamin, Willow, Jackson\"\ne27537,2018/02/07,dinner,tacos,\"Andrew, Kayden, Emily, Carter\"\ne27543,2018/02/08,breakfast,pancakes,\ne27544,2018/02/08,lunch,fish and chips,\ne27545,2018/02/08,dinner,tacos,\ne27553,2018/02/09,breakfast,oatmeal,\"Andrew, Carter\"\ne27554,2018/02/09,lunch,chinese food,\ne27555,2018/02/09,dinner,pasta,Carter\ne27562,2018/02/10,breakfast,peanut-butter-jam,\ne27563,2018/02/10,lunch,indian food,\ne27564,2018/02/10,dinner,steak,\ne27572,2018/02/11,breakfast,cereals,\ne27573,2018/02/11,lunch,indian food,\"Avery, Jackson\"\ne27574,2018/02/11,dinner,sandwich,Andrew\ne27579,2018/02/12,breakfast,peanut-butter-jam,\ne27580,2018/02/12,lunch,steak,\"Nevaeh, Kinsley, Nora, Avery, Olivia\"\ne27581,2018/02/12,dinner,steak,\ne27587,2018/02/13,breakfast,oatmeal,\"Avery, Lydia, Hazel, Nevaeh, Nora\"\ne27588,2018/02/13,lunch,a burger,\ne27589,2018/02/13,dinner,pasta,\"Carter, Kayden, Andrew\"\ne27597,2018/02/14,breakfast,toast and cheese,\"Eva, Lydia, Nora, Piper, Piper, Olivia\"\ne27598,2018/02/14,lunch,indian food,\ne27599,2018/02/14,dinner,steak,\ne27606,2018/02/15,breakfast,\"eggs, sausages, and bread\",\ne27607,2018/02/15,lunch,sandwich,\"Piper, Claire, Hazel\"\ne27608,2018/02/15,dinner,pasta,\"Rylee, Olivia, Kinsley\"\ne27616,2018/02/16,breakfast,cereals,\"Benjamin, Jackson, Willow, Avery\"\ne27617,2018/02/16,lunch,fish and chips,Benjamin\ne27618,2018/02/16,dinner,pasta,\ne27623,2018/02/17,breakfast,pancakes,\ne27624,2018/02/17,lunch,chinese food,\"Nevaeh, Lydia, Piper, Layla, Claire\"\ne27625,2018/02/17,dinner,steak,\ne27632,2018/02/18,breakfast,\"eggs, sausages, and bread\",Emily\ne27633,2018/02/18,lunch,sandwich,\"Lydia, Layla, Nora, Rylee, Kinsley, Hazel, Piper, Eva, Olivia, Avery, Nevaeh, Claire, Piper\"\ne27634,2018/02/18,dinner,chinese food,\ne27641,2018/02/19,breakfast,toast and cheese,\ne27642,2018/02/19,lunch,fish and chips,\ne27643,2018/02/19,dinner,sushi,\ne27650,2018/02/20,breakfast,\"eggs, sausages, and bread\",\ne27651,2018/02/20,lunch,sandwich,\ne27652,2018/02/20,dinner,chinese food,\ne27659,2018/02/21,breakfast,peanut-butter-jam,\ne27660,2018/02/21,lunch,a burger,\"Layla, Olivia, Avery, Nevaeh, Lydia, Piper\"\ne27661,2018/02/21,dinner,indian food,\ne27666,2018/02/22,breakfast,pancakes,\ne27667,2018/02/22,lunch,sandwich,\ne27668,2018/02/22,dinner,sandwich,\ne27675,2018/02/23,breakfast,peanut-butter-jam,\ne27676,2018/02/23,lunch,fish and chips,\ne27677,2018/02/23,dinner,sushi,\"Lydia, Hazel, Kinsley, Piper, Nora, Claire, Eva\"\ne27684,2018/02/24,breakfast,pancakes,\ne27685,2018/02/24,lunch,sandwich,\"Eva, Piper\"\ne27686,2018/02/24,dinner,sandwich,\ne27693,2018/02/25,breakfast,toast and cheese,\ne27694,2018/02/25,lunch,sandwich,\ne27695,2018/02/25,dinner,a burger,\"Nevaeh, Claire\"\ne27702,2018/02/26,breakfast,pancakes,\"Piper, Nora, Kinsley, Eva, Layla, Claire, Lydia\"\ne27703,2018/02/26,lunch,fish and chips,\ne27704,2018/02/26,dinner,a burger,\ne27711,2018/02/27,breakfast,pancakes,\"Rylee, Lydia, Piper, Eva, Hazel, Piper, Claire\"\ne27712,2018/02/27,lunch,pasta,\ne27713,2018/02/27,dinner,steak,\ne27720,2018/02/28,breakfast,pancakes,\ne27721,2018/02/28,lunch,tacos,\"Emily, Andrew, Kayden\"\ne27722,2018/02/28,dinner,fish and chips,\"Layla, Hazel\"\ne27728,2018/03/01,breakfast,\"eggs, sausages, and bread\",\"Eva, Piper, Rylee\"\ne27729,2018/03/01,lunch,sushi,\"Andrew, Carter, Kayden\"\ne27730,2018/03/01,dinner,a burger,Willow\ne27736,2018/03/02,breakfast,\"eggs, sausages, and bread\",\"Jackson, Willow\"\ne27737,2018/03/02,lunch,chinese food,\ne27738,2018/03/02,dinner,indian food,\ne27745,2018/03/03,breakfast,toast and cheese,Carter\ne27746,2018/03/03,lunch,fish and chips,\ne27747,2018/03/03,dinner,sandwich,\"Emily, Andrew, Carter, Kayden\"\ne27754,2018/03/04,breakfast,cereals,\ne27755,2018/03/04,lunch,steak,\ne27756,2018/03/04,dinner,sandwich,\"Jackson, Benjamin\"\ne27763,2018/03/05,breakfast,pancakes,\ne27764,2018/03/05,lunch,steak,\ne27765,2018/03/05,dinner,pasta,\"Kayden, Andrew\"\ne27771,2018/03/06,breakfast,oatmeal,\"Carter, Kayden, Andrew\"\ne27772,2018/03/06,lunch,tacos,\ne27773,2018/03/06,dinner,tacos,\ne27780,2018/03/07,breakfast,oatmeal,\ne27781,2018/03/07,lunch,a burger,\"Kayden, Carter\"\ne27782,2018/03/07,dinner,sandwich,\ne27790,2018/03/08,breakfast,cereals,\ne27791,2018/03/08,lunch,sandwich,\ne27792,2018/03/08,dinner,tacos,\"Lydia, Piper, Avery, Claire, Rylee, Piper, Hazel, Eva, Olivia, Nora\"\ne27799,2018/03/09,breakfast,peanut-butter-jam,\ne27800,2018/03/09,lunch,fish and chips,\"Jackson, Benjamin, Avery, Willow\"\ne27801,2018/03/09,dinner,steak,\ne27809,2018/03/10,breakfast,peanut-butter-jam,\"Carter, Andrew\"\ne27810,2018/03/10,lunch,a burger,\ne27811,2018/03/10,dinner,chinese food,\ne27818,2018/03/11,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew, Emily\"\ne27819,2018/03/11,lunch,chinese food,\ne27820,2018/03/11,dinner,steak,\"Rylee, Lydia, Nora, Avery, Layla, Kinsley, Piper, Piper, Claire, Hazel, Eva\"\ne27826,2018/03/12,breakfast,cereals,\ne27827,2018/03/12,lunch,indian food,\"Emily, Kayden, Andrew\"\ne27828,2018/03/12,dinner,a burger,\ne27836,2018/03/13,breakfast,\"eggs, sausages, and bread\",\ne27837,2018/03/13,lunch,steak,\ne27838,2018/03/13,dinner,chinese food,\"Kayden, Emily, Carter, Andrew\"\ne27846,2018/03/14,breakfast,pancakes,\"Jackson, Benjamin\"\ne27847,2018/03/14,lunch,indian food,\ne27848,2018/03/14,dinner,sandwich,\ne27855,2018/03/15,breakfast,cereals,\"Andrew, Emily\"\ne27856,2018/03/15,lunch,sushi,\"Emily, Carter, Kayden, Andrew\"\ne27857,2018/03/15,dinner,tacos,\ne27863,2018/03/16,breakfast,cereals,\ne27864,2018/03/16,lunch,sushi,\ne27865,2018/03/16,dinner,tacos,\ne27870,2018/03/17,breakfast,peanut-butter-jam,\ne27871,2018/03/17,lunch,indian food,\ne27872,2018/03/17,dinner,pasta,\ne27878,2018/03/18,breakfast,peanut-butter-jam,\ne27879,2018/03/18,lunch,sushi,\ne27880,2018/03/18,dinner,steak,\"Jackson, Benjamin, Willow\"\ne27887,2018/03/19,breakfast,pancakes,\ne27888,2018/03/19,lunch,sandwich,\ne27889,2018/03/19,dinner,pasta,\"Claire, Rylee, Hazel, Avery, Piper, Layla, Eva, Kinsley, Nevaeh, Piper\"\ne27896,2018/03/20,breakfast,peanut-butter-jam,\ne27897,2018/03/20,lunch,pasta,\ne27898,2018/03/20,dinner,pasta,\ne27905,2018/03/21,breakfast,peanut-butter-jam,\ne27906,2018/03/21,lunch,a burger,\ne27907,2018/03/21,dinner,fish and chips,\"Kayden, Andrew, Carter, Emily\"\ne27913,2018/03/22,breakfast,toast and cheese,\"Kayden, Andrew, Emily\"\ne27914,2018/03/22,lunch,steak,\ne27915,2018/03/22,dinner,tacos,Kayden\ne27920,2018/03/23,breakfast,pancakes,\ne27921,2018/03/23,lunch,steak,\ne27922,2018/03/23,dinner,fish and chips,\ne27928,2018/03/24,breakfast,peanut-butter-jam,\"Emily, Andrew, Carter\"\ne27929,2018/03/24,lunch,sandwich,\ne27930,2018/03/24,dinner,fish and chips,\ne27936,2018/03/25,breakfast,cereals,\"Eva, Nora, Kinsley, Avery, Piper, Rylee, Claire, Hazel, Piper, Layla, Lydia\"\ne27937,2018/03/25,lunch,tacos,\"Kayden, Carter, Emily\"\ne27938,2018/03/25,dinner,sushi,\"Lydia, Nevaeh\"\ne27944,2018/03/26,breakfast,toast and cheese,\"Avery, Benjamin, Willow, Jackson\"\ne27945,2018/03/26,lunch,tacos,\"Rylee, Olivia, Nora, Nevaeh, Avery, Kinsley, Lydia, Piper, Piper, Claire, Layla, Hazel\"\ne27946,2018/03/26,dinner,chinese food,\ne27953,2018/03/27,breakfast,cereals,\ne27954,2018/03/27,lunch,steak,\ne27955,2018/03/27,dinner,steak,Kinsley\ne27961,2018/03/28,breakfast,cereals,\"Emily, Carter, Andrew, Kayden\"\ne27962,2018/03/28,lunch,steak,\"Andrew, Carter, Kayden\"\ne27963,2018/03/28,dinner,indian food,\"Emily, Andrew\"\ne27970,2018/03/29,breakfast,cereals,\"Willow, Benjamin, Avery\"\ne27971,2018/03/29,lunch,fish and chips,\ne27972,2018/03/29,dinner,sandwich,\ne27980,2018/03/30,breakfast,pancakes,\"Kayden, Emily, Carter\"\ne27981,2018/03/30,lunch,tacos,\"Carter, Emily, Andrew, Kayden\"\ne27982,2018/03/30,dinner,a burger,\ne27988,2018/03/31,breakfast,pancakes,\ne27989,2018/03/31,lunch,sandwich,\ne27990,2018/03/31,dinner,chinese food,\"Piper, Piper, Claire, Hazel, Layla, Nora\"\ne27996,2018/04/01,breakfast,\"eggs, sausages, and bread\",\"Nora, Rylee, Avery, Layla, Nevaeh, Eva, Lydia, Kinsley\"\ne27997,2018/04/01,lunch,sandwich,Kayden\ne27998,2018/04/01,dinner,a burger,\"Willow, Avery\"\ne28005,2018/04/02,breakfast,\"eggs, sausages, and bread\",\ne28006,2018/04/02,lunch,fish and chips,\"Benjamin, Jackson, Willow\"\ne28007,2018/04/02,dinner,pasta,\"Rylee, Eva, Hazel, Layla, Nevaeh\"\ne28013,2018/04/03,breakfast,pancakes,\"Piper, Rylee, Claire, Nevaeh, Hazel, Nora, Kinsley, Avery\"\ne28014,2018/04/03,lunch,tacos,\"Jackson, Benjamin, Willow, Avery\"\ne28015,2018/04/03,dinner,indian food,Carter\ne28022,2018/04/04,breakfast,pancakes,\ne28023,2018/04/04,lunch,fish and chips,\ne28024,2018/04/04,dinner,chinese food,\ne28030,2018/04/05,breakfast,toast and cheese,Willow\ne28031,2018/04/05,lunch,chinese food,\ne28032,2018/04/05,dinner,pasta,\ne28038,2018/04/06,breakfast,cereals,Emily\ne28039,2018/04/06,lunch,sandwich,\"Kayden, Carter, Andrew, Emily\"\ne28040,2018/04/06,dinner,a burger,\"Layla, Eva, Olivia, Nevaeh, Lydia\"\ne28046,2018/04/07,breakfast,\"eggs, sausages, and bread\",\ne28047,2018/04/07,lunch,pasta,\"Andrew, Kayden, Carter\"\ne28048,2018/04/07,dinner,indian food,\"Nevaeh, Olivia, Hazel, Nora, Avery, Rylee\"\ne28054,2018/04/08,breakfast,peanut-butter-jam,\ne28055,2018/04/08,lunch,chinese food,\ne28056,2018/04/08,dinner,fish and chips,\"Carter, Kayden, Emily, Andrew\"\ne28063,2018/04/09,breakfast,oatmeal,\ne28064,2018/04/09,lunch,indian food,\"Andrew, Emily, Kayden, Carter\"\ne28065,2018/04/09,dinner,pasta,\"Willow, Benjamin, Jackson\"\ne28072,2018/04/10,breakfast,cereals,\"Andrew, Emily, Kayden, Carter\"\ne28073,2018/04/10,lunch,fish and chips,\ne28074,2018/04/10,dinner,chinese food,\"Layla, Avery, Rylee, Lydia\"\ne28080,2018/04/11,breakfast,oatmeal,\"Nevaeh, Lydia, Nora, Rylee, Avery, Eva, Claire, Piper, Piper, Hazel, Kinsley, Layla, Olivia\"\ne28081,2018/04/11,lunch,sandwich,Emily\ne28082,2018/04/11,dinner,indian food,\ne28088,2018/04/12,breakfast,pancakes,\ne28089,2018/04/12,lunch,pasta,\ne28090,2018/04/12,dinner,a burger,\ne28098,2018/04/13,breakfast,peanut-butter-jam,\"Benjamin, Avery\"\ne28099,2018/04/13,lunch,sushi,\"Lydia, Claire, Layla, Eva, Olivia, Piper\"\ne28100,2018/04/13,dinner,tacos,\"Kayden, Andrew, Emily\"\ne28107,2018/04/14,breakfast,toast and cheese,\"Carter, Emily, Kayden, Andrew\"\ne28108,2018/04/14,lunch,indian food,\"Willow, Benjamin, Jackson\"\ne28109,2018/04/14,dinner,sushi,\"Claire, Layla, Piper, Rylee, Olivia, Eva, Hazel\"\ne28116,2018/04/15,breakfast,toast and cheese,\ne28117,2018/04/15,lunch,tacos,\ne28118,2018/04/15,dinner,fish and chips,\ne28126,2018/04/16,breakfast,toast and cheese,\"Claire, Nora, Kinsley, Nevaeh, Piper, Piper, Layla, Lydia, Olivia, Avery, Hazel\"\ne28127,2018/04/16,lunch,sandwich,\ne28128,2018/04/16,dinner,indian food,\"Carter, Kayden, Andrew\"\ne28134,2018/04/17,breakfast,oatmeal,\ne28135,2018/04/17,lunch,pasta,\ne28136,2018/04/17,dinner,a burger,Lydia\ne28143,2018/04/18,breakfast,pancakes,\"Andrew, Kayden, Carter\"\ne28144,2018/04/18,lunch,fish and chips,Kayden\ne28145,2018/04/18,dinner,fish and chips,\ne28151,2018/04/19,breakfast,pancakes,\ne28152,2018/04/19,lunch,a burger,\"Carter, Emily, Kayden, Andrew\"\ne28153,2018/04/19,dinner,a burger,Carter\ne28160,2018/04/20,breakfast,\"eggs, sausages, and bread\",\ne28161,2018/04/20,lunch,chinese food,\ne28162,2018/04/20,dinner,tacos,\ne28170,2018/04/21,breakfast,\"eggs, sausages, and bread\",\ne28171,2018/04/21,lunch,sandwich,\"Andrew, Carter, Emily\"\ne28172,2018/04/21,dinner,indian food,\ne28178,2018/04/22,breakfast,peanut-butter-jam,\ne28179,2018/04/22,lunch,pasta,\ne28180,2018/04/22,dinner,steak,\ne28186,2018/04/23,breakfast,cereals,\ne28187,2018/04/23,lunch,pasta,\ne28188,2018/04/23,dinner,pasta,\ne28195,2018/04/24,breakfast,oatmeal,\ne28196,2018/04/24,lunch,indian food,\ne28197,2018/04/24,dinner,sandwich,\ne28203,2018/04/25,breakfast,oatmeal,\"Hazel, Piper, Avery, Lydia, Olivia, Nevaeh, Rylee\"\ne28204,2018/04/25,lunch,steak,\"Carter, Emily\"\ne28205,2018/04/25,dinner,indian food,\"Layla, Piper, Nora, Kinsley\"\ne28212,2018/04/26,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden, Carter, Emily\"\ne28213,2018/04/26,lunch,fish and chips,Carter\ne28214,2018/04/26,dinner,chinese food,\"Emily, Carter, Andrew, Kayden\"\ne28221,2018/04/27,breakfast,oatmeal,\ne28222,2018/04/27,lunch,tacos,\ne28223,2018/04/27,dinner,indian food,\ne28230,2018/04/28,breakfast,peanut-butter-jam,\ne28231,2018/04/28,lunch,chinese food,\ne28232,2018/04/28,dinner,pasta,\ne28239,2018/04/29,breakfast,oatmeal,\ne28240,2018/04/29,lunch,indian food,\ne28241,2018/04/29,dinner,indian food,\ne28247,2018/04/30,breakfast,cereals,\ne28248,2018/04/30,lunch,steak,\ne28249,2018/04/30,dinner,sushi,\"Carter, Kayden, Emily, Andrew\"\ne28255,2018/05/01,breakfast,toast and cheese,\ne28256,2018/05/01,lunch,steak,\ne28257,2018/05/01,dinner,sushi,\"Emily, Carter, Kayden\"\ne28265,2018/05/02,breakfast,peanut-butter-jam,\ne28266,2018/05/02,lunch,tacos,\"Avery, Nevaeh, Rylee, Piper, Nora, Hazel\"\ne28267,2018/05/02,dinner,sandwich,Carter\ne28274,2018/05/03,breakfast,pancakes,\ne28275,2018/05/03,lunch,steak,\ne28276,2018/05/03,dinner,indian food,\"Benjamin, Jackson\"\ne28284,2018/05/04,breakfast,\"eggs, sausages, and bread\",\ne28285,2018/05/04,lunch,chinese food,\ne28286,2018/05/04,dinner,fish and chips,\ne28292,2018/05/05,breakfast,\"eggs, sausages, and bread\",\ne28293,2018/05/05,lunch,sandwich,\ne28294,2018/05/05,dinner,a burger,\ne28302,2018/05/06,breakfast,toast and cheese,\"Emily, Carter, Andrew\"\ne28303,2018/05/06,lunch,sushi,\ne28304,2018/05/06,dinner,chinese food,Avery\ne28309,2018/05/07,breakfast,\"eggs, sausages, and bread\",Emily\ne28310,2018/05/07,lunch,steak,\ne28311,2018/05/07,dinner,steak,\"Andrew, Kayden, Emily\"\ne28319,2018/05/08,breakfast,\"eggs, sausages, and bread\",\ne28320,2018/05/08,lunch,sushi,\ne28321,2018/05/08,dinner,pasta,Kayden\ne28327,2018/05/09,breakfast,cereals,\"Jackson, Willow\"\ne28328,2018/05/09,lunch,fish and chips,\ne28329,2018/05/09,dinner,a burger,\"Carter, Kayden, Emily\"\ne28336,2018/05/10,breakfast,\"eggs, sausages, and bread\",\ne28337,2018/05/10,lunch,pasta,\ne28338,2018/05/10,dinner,sandwich,\ne28344,2018/05/11,breakfast,pancakes,\ne28345,2018/05/11,lunch,indian food,\ne28346,2018/05/11,dinner,sushi,\"Nora, Lydia, Piper, Claire, Layla, Kinsley, Olivia, Piper, Nevaeh, Eva\"\ne28354,2018/05/12,breakfast,\"eggs, sausages, and bread\",\ne28355,2018/05/12,lunch,tacos,\ne28356,2018/05/12,dinner,sandwich,\ne28363,2018/05/13,breakfast,oatmeal,\ne28364,2018/05/13,lunch,a burger,\ne28365,2018/05/13,dinner,pasta,\"Willow, Benjamin, Avery, Jackson\"\ne28371,2018/05/14,breakfast,peanut-butter-jam,\"Nevaeh, Hazel\"\ne28372,2018/05/14,lunch,indian food,\ne28373,2018/05/14,dinner,tacos,\ne28381,2018/05/15,breakfast,peanut-butter-jam,\ne28382,2018/05/15,lunch,steak,\ne28383,2018/05/15,dinner,sushi,\ne28390,2018/05/16,breakfast,pancakes,\"Emily, Kayden\"\ne28391,2018/05/16,lunch,chinese food,\"Andrew, Emily\"\ne28392,2018/05/16,dinner,fish and chips,\ne28399,2018/05/17,breakfast,pancakes,\ne28400,2018/05/17,lunch,sushi,\"Kinsley, Nora, Lydia, Eva, Hazel, Layla\"\ne28401,2018/05/17,dinner,pasta,\"Avery, Jackson, Benjamin, Willow\"\ne28408,2018/05/18,breakfast,\"eggs, sausages, and bread\",\"Jackson, Benjamin, Avery\"\ne28409,2018/05/18,lunch,sandwich,Emily\ne28410,2018/05/18,dinner,steak,\ne28418,2018/05/19,breakfast,peanut-butter-jam,\ne28419,2018/05/19,lunch,a burger,\ne28420,2018/05/19,dinner,fish and chips,\"Willow, Avery, Benjamin\"\ne28428,2018/05/20,breakfast,pancakes,\"Avery, Benjamin, Jackson, Willow\"\ne28429,2018/05/20,lunch,pasta,\"Kinsley, Avery, Eva\"\ne28430,2018/05/20,dinner,chinese food,\"Kayden, Carter, Emily\"\ne28437,2018/05/21,breakfast,\"eggs, sausages, and bread\",\ne28438,2018/05/21,lunch,fish and chips,\ne28439,2018/05/21,dinner,indian food,\ne28447,2018/05/22,breakfast,pancakes,Andrew\ne28448,2018/05/22,lunch,fish and chips,\"Claire, Piper, Hazel, Eva, Lydia, Rylee, Nevaeh, Piper\"\ne28449,2018/05/22,dinner,a burger,\"Jackson, Willow, Benjamin\"\ne28455,2018/05/23,breakfast,cereals,\"Willow, Benjamin, Jackson, Avery\"\ne28456,2018/05/23,lunch,sushi,\"Andrew, Kayden, Carter\"\ne28457,2018/05/23,dinner,chinese food,\ne28464,2018/05/24,breakfast,pancakes,Avery\ne28465,2018/05/24,lunch,pasta,Carter\ne28466,2018/05/24,dinner,steak,\ne28472,2018/05/25,breakfast,\"eggs, sausages, and bread\",\"Piper, Piper, Avery, Claire\"\ne28473,2018/05/25,lunch,steak,\ne28474,2018/05/25,dinner,pasta,Andrew\ne28480,2018/05/26,breakfast,\"eggs, sausages, and bread\",Jackson\ne28481,2018/05/26,lunch,a burger,\ne28482,2018/05/26,dinner,steak,\"Willow, Avery, Jackson, Benjamin\"\ne28489,2018/05/27,breakfast,cereals,\ne28490,2018/05/27,lunch,a burger,\ne28491,2018/05/27,dinner,fish and chips,Kayden\ne28499,2018/05/28,breakfast,cereals,\ne28500,2018/05/28,lunch,tacos,\ne28501,2018/05/28,dinner,a burger,\ne28506,2018/05/29,breakfast,\"eggs, sausages, and bread\",\ne28507,2018/05/29,lunch,tacos,\ne28508,2018/05/29,dinner,steak,\ne28516,2018/05/30,breakfast,oatmeal,\ne28517,2018/05/30,lunch,pasta,\ne28518,2018/05/30,dinner,fish and chips,\ne28525,2018/05/31,breakfast,peanut-butter-jam,\"Nora, Nevaeh, Avery, Lydia, Olivia, Piper, Eva, Kinsley\"\ne28526,2018/05/31,lunch,chinese food,\"Kayden, Emily, Carter\"\ne28527,2018/05/31,dinner,chinese food,\ne28535,2018/06/01,breakfast,toast and cheese,\"Willow, Benjamin, Avery, Jackson\"\ne28536,2018/06/01,lunch,sandwich,\ne28537,2018/06/01,dinner,a burger,\ne28545,2018/06/02,breakfast,toast and cheese,\ne28546,2018/06/02,lunch,tacos,\ne28547,2018/06/02,dinner,sandwich,\ne28554,2018/06/03,breakfast,toast and cheese,\"Andrew, Carter\"\ne28555,2018/06/03,lunch,sandwich,\ne28556,2018/06/03,dinner,indian food,\ne28562,2018/06/04,breakfast,oatmeal,\ne28563,2018/06/04,lunch,sandwich,\ne28564,2018/06/04,dinner,a burger,\ne28571,2018/06/05,breakfast,oatmeal,\ne28572,2018/06/05,lunch,a burger,\ne28573,2018/06/05,dinner,indian food,\ne28581,2018/06/06,breakfast,peanut-butter-jam,\"Carter, Andrew, Kayden\"\ne28582,2018/06/06,lunch,steak,\ne28583,2018/06/06,dinner,chinese food,\ne28590,2018/06/07,breakfast,\"eggs, sausages, and bread\",\ne28591,2018/06/07,lunch,tacos,\ne28592,2018/06/07,dinner,chinese food,\"Emily, Carter, Andrew, Kayden\"\ne28598,2018/06/08,breakfast,peanut-butter-jam,\ne28599,2018/06/08,lunch,sandwich,\ne28600,2018/06/08,dinner,steak,\ne28606,2018/06/09,breakfast,pancakes,\"Benjamin, Avery, Willow\"\ne28607,2018/06/09,lunch,fish and chips,\ne28608,2018/06/09,dinner,sushi,\ne28616,2018/06/10,breakfast,toast and cheese,\ne28617,2018/06/10,lunch,a burger,\ne28618,2018/06/10,dinner,tacos,\ne28624,2018/06/11,breakfast,peanut-butter-jam,\ne28625,2018/06/11,lunch,sushi,\ne28626,2018/06/11,dinner,indian food,\ne28633,2018/06/12,breakfast,cereals,\ne28634,2018/06/12,lunch,steak,\ne28635,2018/06/12,dinner,tacos,\ne28641,2018/06/13,breakfast,cereals,\ne28642,2018/06/13,lunch,pasta,\ne28643,2018/06/13,dinner,fish and chips,\"Jackson, Willow, Benjamin\"\ne28650,2018/06/14,breakfast,cereals,Carter\ne28651,2018/06/14,lunch,chinese food,\"Andrew, Emily, Carter\"\ne28652,2018/06/14,dinner,sushi,\"Emily, Carter\"\ne28658,2018/06/15,breakfast,oatmeal,\ne28659,2018/06/15,lunch,sushi,\"Andrew, Kayden, Carter\"\ne28660,2018/06/15,dinner,a burger,\ne28665,2018/06/16,breakfast,peanut-butter-jam,\ne28666,2018/06/16,lunch,steak,\ne28667,2018/06/16,dinner,a burger,\ne28674,2018/06/17,breakfast,peanut-butter-jam,\"Andrew, Kayden\"\ne28675,2018/06/17,lunch,tacos,\"Benjamin, Jackson\"\ne28676,2018/06/17,dinner,fish and chips,\"Nevaeh, Kinsley, Olivia, Layla, Lydia, Eva, Hazel, Piper, Piper\"\ne28682,2018/06/18,breakfast,oatmeal,\ne28683,2018/06/18,lunch,pasta,\ne28684,2018/06/18,dinner,indian food,\"Olivia, Layla, Nevaeh, Lydia, Avery, Kinsley, Claire, Hazel\"\ne28690,2018/06/19,breakfast,peanut-butter-jam,\ne28691,2018/06/19,lunch,a burger,\"Hazel, Kinsley, Avery, Piper, Eva, Piper, Nevaeh, Olivia, Rylee, Claire\"\ne28692,2018/06/19,dinner,pasta,\"Piper, Nora, Kinsley, Hazel, Layla, Claire, Lydia, Eva, Rylee, Nevaeh, Olivia, Piper, Avery\"\ne28698,2018/06/20,breakfast,oatmeal,\ne28699,2018/06/20,lunch,pasta,\ne28700,2018/06/20,dinner,fish and chips,\ne28707,2018/06/21,breakfast,oatmeal,\ne28708,2018/06/21,lunch,fish and chips,\ne28709,2018/06/21,dinner,sandwich,\"Carter, Kayden, Emily\"\ne28715,2018/06/22,breakfast,toast and cheese,\ne28716,2018/06/22,lunch,a burger,\ne28717,2018/06/22,dinner,indian food,\ne28723,2018/06/23,breakfast,cereals,\"Hazel, Nora\"\ne28724,2018/06/23,lunch,indian food,\ne28725,2018/06/23,dinner,sushi,\ne28732,2018/06/24,breakfast,oatmeal,\ne28733,2018/06/24,lunch,sushi,\ne28734,2018/06/24,dinner,steak,\ne28739,2018/06/25,breakfast,peanut-butter-jam,\ne28740,2018/06/25,lunch,sandwich,\ne28741,2018/06/25,dinner,chinese food,\ne28748,2018/06/26,breakfast,\"eggs, sausages, and bread\",\"Willow, Benjamin, Jackson, Avery\"\ne28749,2018/06/26,lunch,a burger,\ne28750,2018/06/26,dinner,pasta,\"Piper, Eva, Nevaeh, Hazel, Lydia, Kinsley, Layla, Nora\"\ne28757,2018/06/27,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Emily, Andrew\"\ne28758,2018/06/27,lunch,steak,\"Nora, Lydia, Piper, Avery, Nevaeh, Olivia, Rylee\"\ne28759,2018/06/27,dinner,chinese food,\"Piper, Kinsley, Layla, Nora, Nevaeh, Olivia, Avery, Claire, Lydia\"\ne28766,2018/06/28,breakfast,peanut-butter-jam,\ne28767,2018/06/28,lunch,chinese food,\"Kayden, Andrew\"\ne28768,2018/06/28,dinner,a burger,\"Claire, Layla, Piper, Piper, Kinsley, Lydia, Rylee, Eva, Avery, Hazel, Nora, Nevaeh\"\ne28775,2018/06/29,breakfast,cereals,\"Lydia, Kinsley, Piper, Claire, Avery\"\ne28776,2018/06/29,lunch,sandwich,Carter\ne28777,2018/06/29,dinner,fish and chips,\"Rylee, Layla\"\ne28784,2018/06/30,breakfast,pancakes,\ne28785,2018/06/30,lunch,sushi,\ne28786,2018/06/30,dinner,a burger,\"Emily, Andrew\"\ne28793,2018/07/01,breakfast,peanut-butter-jam,\ne28794,2018/07/01,lunch,a burger,\"Eva, Hazel\"\ne28795,2018/07/01,dinner,tacos,\"Emily, Andrew, Kayden, Carter\"\ne28801,2018/07/02,breakfast,oatmeal,\"Avery, Benjamin\"\ne28802,2018/07/02,lunch,indian food,\ne28803,2018/07/02,dinner,sandwich,\"Andrew, Emily\"\ne28810,2018/07/03,breakfast,\"eggs, sausages, and bread\",\"Jackson, Avery, Benjamin\"\ne28811,2018/07/03,lunch,steak,\ne28812,2018/07/03,dinner,sandwich,\ne28818,2018/07/04,breakfast,\"eggs, sausages, and bread\",Jackson\ne28819,2018/07/04,lunch,sushi,\"Piper, Kinsley, Hazel, Claire, Nora, Layla, Eva, Avery, Lydia, Nevaeh, Piper\"\ne28820,2018/07/04,dinner,fish and chips,\ne28827,2018/07/05,breakfast,pancakes,\ne28828,2018/07/05,lunch,indian food,\"Avery, Jackson, Benjamin\"\ne28829,2018/07/05,dinner,chinese food,Emily\ne28836,2018/07/06,breakfast,\"eggs, sausages, and bread\",\ne28837,2018/07/06,lunch,tacos,\ne28838,2018/07/06,dinner,tacos,\ne28846,2018/07/07,breakfast,toast and cheese,\ne28847,2018/07/07,lunch,sushi,\ne28848,2018/07/07,dinner,steak,\ne28854,2018/07/08,breakfast,cereals,\ne28855,2018/07/08,lunch,fish and chips,\ne28856,2018/07/08,dinner,a burger,\"Olivia, Claire, Eva, Lydia, Layla, Nevaeh, Kinsley, Avery, Piper, Piper\"\ne28864,2018/07/09,breakfast,peanut-butter-jam,\ne28865,2018/07/09,lunch,steak,\"Lydia, Nora, Hazel, Piper, Nevaeh, Eva, Olivia\"\ne28866,2018/07/09,dinner,sushi,\"Andrew, Kayden, Carter, Emily\"\ne28873,2018/07/10,breakfast,peanut-butter-jam,\ne28874,2018/07/10,lunch,indian food,\ne28875,2018/07/10,dinner,a burger,Andrew\ne28881,2018/07/11,breakfast,pancakes,\"Carter, Kayden, Andrew, Emily\"\ne28882,2018/07/11,lunch,tacos,\"Avery, Jackson\"\ne28883,2018/07/11,dinner,indian food,\"Carter, Andrew, Kayden, Emily\"\ne28889,2018/07/12,breakfast,peanut-butter-jam,\ne28890,2018/07/12,lunch,tacos,\"Kinsley, Claire, Hazel, Nora, Lydia, Rylee, Olivia, Avery, Eva, Nevaeh, Piper, Layla\"\ne28891,2018/07/12,dinner,sushi,\ne28897,2018/07/13,breakfast,cereals,\ne28898,2018/07/13,lunch,sandwich,\ne28899,2018/07/13,dinner,a burger,\ne28907,2018/07/14,breakfast,oatmeal,\"Willow, Jackson, Benjamin, Avery\"\ne28908,2018/07/14,lunch,sushi,\"Kayden, Emily, Carter\"\ne28909,2018/07/14,dinner,indian food,\ne28915,2018/07/15,breakfast,toast and cheese,\"Avery, Jackson\"\ne28916,2018/07/15,lunch,fish and chips,\ne28917,2018/07/15,dinner,pasta,\ne28924,2018/07/16,breakfast,toast and cheese,\"Claire, Rylee, Lydia, Layla, Eva, Nevaeh, Piper\"\ne28925,2018/07/16,lunch,a burger,\"Willow, Benjamin\"\ne28926,2018/07/16,dinner,fish and chips,\ne28932,2018/07/17,breakfast,\"eggs, sausages, and bread\",Carter\ne28933,2018/07/17,lunch,fish and chips,\ne28934,2018/07/17,dinner,indian food,\"Avery, Willow, Benjamin, Jackson\"\ne28941,2018/07/18,breakfast,pancakes,\ne28942,2018/07/18,lunch,pasta,\ne28943,2018/07/18,dinner,chinese food,\ne28950,2018/07/19,breakfast,peanut-butter-jam,\ne28951,2018/07/19,lunch,fish and chips,\"Kayden, Andrew\"\ne28952,2018/07/19,dinner,indian food,\ne28959,2018/07/20,breakfast,oatmeal,\"Andrew, Kayden, Emily\"\ne28960,2018/07/20,lunch,sandwich,\ne28961,2018/07/20,dinner,chinese food,\ne28967,2018/07/21,breakfast,cereals,\ne28968,2018/07/21,lunch,fish and chips,\"Emily, Andrew\"\ne28969,2018/07/21,dinner,tacos,\"Kayden, Andrew, Emily, Carter\"\ne28976,2018/07/22,breakfast,peanut-butter-jam,\ne28977,2018/07/22,lunch,sandwich,Carter\ne28978,2018/07/22,dinner,chinese food,\ne28985,2018/07/23,breakfast,\"eggs, sausages, and bread\",\ne28986,2018/07/23,lunch,sandwich,\ne28987,2018/07/23,dinner,indian food,\ne28994,2018/07/24,breakfast,peanut-butter-jam,\"Carter, Emily, Kayden\"\ne28995,2018/07/24,lunch,steak,\ne28996,2018/07/24,dinner,chinese food,\ne29002,2018/07/25,breakfast,cereals,\ne29003,2018/07/25,lunch,indian food,\ne29004,2018/07/25,dinner,pasta,\ne29011,2018/07/26,breakfast,\"eggs, sausages, and bread\",\ne29012,2018/07/26,lunch,fish and chips,\"Nevaeh, Avery, Kinsley, Eva, Piper, Nora, Lydia\"\ne29013,2018/07/26,dinner,a burger,\"Andrew, Emily, Kayden\"\ne29021,2018/07/27,breakfast,oatmeal,\ne29022,2018/07/27,lunch,a burger,\ne29023,2018/07/27,dinner,sushi,Kayden\ne29030,2018/07/28,breakfast,peanut-butter-jam,\"Avery, Layla, Piper, Claire, Eva\"\ne29031,2018/07/28,lunch,chinese food,\ne29032,2018/07/28,dinner,indian food,\"Nora, Nevaeh, Avery, Claire, Eva, Piper, Piper, Lydia, Olivia, Hazel, Layla, Kinsley, Rylee\"\ne29039,2018/07/29,breakfast,toast and cheese,\ne29040,2018/07/29,lunch,indian food,\ne29041,2018/07/29,dinner,indian food,\ne29048,2018/07/30,breakfast,toast and cheese,\ne29049,2018/07/30,lunch,fish and chips,\ne29050,2018/07/30,dinner,a burger,\"Carter, Kayden\"\ne29058,2018/07/31,breakfast,cereals,\ne29059,2018/07/31,lunch,sandwich,\ne29060,2018/07/31,dinner,pasta,\ne29067,2018/08/01,breakfast,pancakes,\ne29068,2018/08/01,lunch,fish and chips,\"Kayden, Emily, Andrew\"\ne29069,2018/08/01,dinner,sandwich,\"Carter, Kayden, Andrew, Emily\"\ne29075,2018/08/02,breakfast,peanut-butter-jam,\ne29076,2018/08/02,lunch,sushi,\ne29077,2018/08/02,dinner,tacos,\ne29085,2018/08/03,breakfast,\"eggs, sausages, and bread\",\ne29086,2018/08/03,lunch,sandwich,\ne29087,2018/08/03,dinner,tacos,\"Andrew, Carter, Kayden\"\ne29093,2018/08/04,breakfast,toast and cheese,\ne29094,2018/08/04,lunch,steak,\"Emily, Carter\"\ne29095,2018/08/04,dinner,sandwich,\ne29101,2018/08/05,breakfast,\"eggs, sausages, and bread\",\ne29102,2018/08/05,lunch,pasta,\ne29103,2018/08/05,dinner,a burger,\ne29108,2018/08/06,breakfast,oatmeal,\"Hazel, Kinsley, Piper, Piper, Avery, Layla, Claire\"\ne29109,2018/08/06,lunch,fish and chips,\"Lydia, Layla, Nora, Hazel, Avery, Nevaeh, Kinsley, Piper, Piper, Rylee\"\ne29110,2018/08/06,dinner,a burger,\"Andrew, Carter\"\ne29118,2018/08/07,breakfast,\"eggs, sausages, and bread\",\ne29119,2018/08/07,lunch,steak,\"Benjamin, Willow, Avery\"\ne29120,2018/08/07,dinner,steak,\ne29126,2018/08/08,breakfast,\"eggs, sausages, and bread\",\ne29127,2018/08/08,lunch,sushi,\"Lydia, Claire, Eva, Hazel, Nevaeh, Piper, Piper, Avery, Rylee, Layla, Olivia\"\ne29128,2018/08/08,dinner,sandwich,\ne29134,2018/08/09,breakfast,peanut-butter-jam,\"Kayden, Emily\"\ne29135,2018/08/09,lunch,steak,\"Olivia, Kinsley, Piper, Layla, Eva, Nevaeh, Rylee, Nora, Hazel, Piper, Lydia, Claire, Avery\"\ne29136,2018/08/09,dinner,a burger,\ne29143,2018/08/10,breakfast,\"eggs, sausages, and bread\",\"Piper, Avery, Lydia, Kinsley, Nevaeh, Olivia, Hazel, Eva, Rylee, Claire, Nora\"\ne29144,2018/08/10,lunch,tacos,\ne29145,2018/08/10,dinner,indian food,\"Lydia, Piper, Eva, Nora, Nevaeh, Claire, Layla, Kinsley, Piper, Rylee\"\ne29151,2018/08/11,breakfast,toast and cheese,\ne29152,2018/08/11,lunch,sandwich,\"Emily, Carter\"\ne29153,2018/08/11,dinner,fish and chips,Andrew\ne29160,2018/08/12,breakfast,peanut-butter-jam,\ne29161,2018/08/12,lunch,pasta,\ne29162,2018/08/12,dinner,sandwich,\ne29169,2018/08/13,breakfast,peanut-butter-jam,\ne29170,2018/08/13,lunch,sandwich,\ne29171,2018/08/13,dinner,steak,\ne29179,2018/08/14,breakfast,cereals,\"Willow, Jackson\"\ne29180,2018/08/14,lunch,fish and chips,Kayden\ne29181,2018/08/14,dinner,sandwich,\ne29187,2018/08/15,breakfast,\"eggs, sausages, and bread\",\ne29188,2018/08/15,lunch,chinese food,\"Olivia, Kinsley, Nevaeh, Layla, Claire, Piper, Piper, Nora, Avery, Lydia, Rylee, Eva\"\ne29189,2018/08/15,dinner,sushi,Emily\ne29196,2018/08/16,breakfast,pancakes,\ne29197,2018/08/16,lunch,fish and chips,\"Jackson, Willow\"\ne29198,2018/08/16,dinner,sandwich,Andrew\ne29205,2018/08/17,breakfast,cereals,\ne29206,2018/08/17,lunch,chinese food,\ne29207,2018/08/17,dinner,a burger,\ne29214,2018/08/18,breakfast,toast and cheese,\ne29215,2018/08/18,lunch,a burger,\"Kayden, Emily, Andrew, Carter\"\ne29216,2018/08/18,dinner,chinese food,\"Avery, Claire, Nevaeh\"\ne29223,2018/08/19,breakfast,pancakes,\ne29224,2018/08/19,lunch,pasta,\ne29225,2018/08/19,dinner,a burger,\ne29233,2018/08/20,breakfast,peanut-butter-jam,\ne29234,2018/08/20,lunch,sushi,\ne29235,2018/08/20,dinner,a burger,\ne29242,2018/08/21,breakfast,peanut-butter-jam,\ne29243,2018/08/21,lunch,steak,Carter\ne29244,2018/08/21,dinner,chinese food,\ne29251,2018/08/22,breakfast,cereals,\"Kayden, Carter, Andrew\"\ne29252,2018/08/22,lunch,tacos,\ne29253,2018/08/22,dinner,tacos,\ne29259,2018/08/23,breakfast,\"eggs, sausages, and bread\",\ne29260,2018/08/23,lunch,fish and chips,\ne29261,2018/08/23,dinner,sushi,Andrew\ne29269,2018/08/24,breakfast,pancakes,\ne29270,2018/08/24,lunch,a burger,\"Eva, Claire, Hazel, Olivia, Lydia, Avery, Rylee, Nevaeh\"\ne29271,2018/08/24,dinner,indian food,\ne29279,2018/08/25,breakfast,cereals,\"Benjamin, Avery, Willow, Jackson\"\ne29280,2018/08/25,lunch,sushi,Kayden\ne29281,2018/08/25,dinner,fish and chips,\ne29288,2018/08/26,breakfast,oatmeal,\"Kayden, Emily\"\ne29289,2018/08/26,lunch,tacos,\"Hazel, Nora, Layla, Eva, Olivia, Lydia, Nevaeh, Piper, Claire\"\ne29290,2018/08/26,dinner,pasta,\ne29297,2018/08/27,breakfast,\"eggs, sausages, and bread\",\ne29298,2018/08/27,lunch,steak,\"Benjamin, Jackson\"\ne29299,2018/08/27,dinner,steak,\ne29305,2018/08/28,breakfast,toast and cheese,\ne29306,2018/08/28,lunch,tacos,\"Carter, Kayden, Andrew\"\ne29307,2018/08/28,dinner,pasta,\ne29315,2018/08/29,breakfast,oatmeal,\"Kayden, Andrew, Carter, Emily\"\ne29316,2018/08/29,lunch,pasta,Benjamin\ne29317,2018/08/29,dinner,indian food,\"Lydia, Piper, Claire, Olivia\"\ne29325,2018/08/30,breakfast,cereals,\"Hazel, Kinsley, Nora, Eva, Piper, Avery, Olivia, Piper, Layla, Lydia\"\ne29326,2018/08/30,lunch,sandwich,Kayden\ne29327,2018/08/30,dinner,chinese food,\"Jackson, Benjamin, Willow, Avery\"\ne29333,2018/08/31,breakfast,pancakes,\ne29334,2018/08/31,lunch,chinese food,\ne29335,2018/08/31,dinner,steak,Carter\ne29342,2018/09/01,breakfast,toast and cheese,Jackson\ne29343,2018/09/01,lunch,a burger,\ne29344,2018/09/01,dinner,indian food,\ne29352,2018/09/02,breakfast,cereals,\ne29353,2018/09/02,lunch,a burger,\"Andrew, Kayden, Emily\"\ne29354,2018/09/02,dinner,fish and chips,\ne29361,2018/09/03,breakfast,\"eggs, sausages, and bread\",\ne29362,2018/09/03,lunch,steak,\ne29363,2018/09/03,dinner,pasta,\"Andrew, Kayden\"\ne29371,2018/09/04,breakfast,\"eggs, sausages, and bread\",Benjamin\ne29372,2018/09/04,lunch,sandwich,\"Emily, Andrew, Carter, Kayden\"\ne29373,2018/09/04,dinner,a burger,\ne29381,2018/09/05,breakfast,peanut-butter-jam,\ne29382,2018/09/05,lunch,a burger,\ne29383,2018/09/05,dinner,sandwich,\ne29388,2018/09/06,breakfast,\"eggs, sausages, and bread\",\ne29389,2018/09/06,lunch,steak,\ne29390,2018/09/06,dinner,indian food,\ne29397,2018/09/07,breakfast,peanut-butter-jam,\"Kayden, Andrew, Emily, Carter\"\ne29398,2018/09/07,lunch,sushi,\ne29399,2018/09/07,dinner,sushi,\ne29405,2018/09/08,breakfast,oatmeal,\"Rylee, Nora, Kinsley, Piper, Hazel, Lydia, Claire, Nevaeh, Eva, Olivia, Layla, Avery, Piper\"\ne29406,2018/09/08,lunch,steak,\"Avery, Jackson\"\ne29407,2018/09/08,dinner,sushi,\ne29414,2018/09/09,breakfast,\"eggs, sausages, and bread\",\ne29415,2018/09/09,lunch,fish and chips,\ne29416,2018/09/09,dinner,fish and chips,\"Eva, Olivia, Rylee, Piper, Kinsley, Layla, Piper, Lydia, Nora, Avery, Claire, Nevaeh\"\ne29423,2018/09/10,breakfast,pancakes,\ne29424,2018/09/10,lunch,steak,\"Emily, Andrew\"\ne29425,2018/09/10,dinner,a burger,\ne29431,2018/09/11,breakfast,cereals,\ne29432,2018/09/11,lunch,fish and chips,\ne29433,2018/09/11,dinner,steak,\"Lydia, Nora, Eva, Kinsley, Avery, Hazel\"\ne29440,2018/09/12,breakfast,peanut-butter-jam,\ne29441,2018/09/12,lunch,sandwich,\ne29442,2018/09/12,dinner,pasta,\"Eva, Avery, Kinsley, Nevaeh, Rylee, Lydia\"\ne29450,2018/09/13,breakfast,oatmeal,\ne29451,2018/09/13,lunch,steak,\ne29452,2018/09/13,dinner,tacos,\ne29459,2018/09/14,breakfast,cereals,\ne29460,2018/09/14,lunch,fish and chips,\"Emily, Kayden, Carter, Andrew\"\ne29461,2018/09/14,dinner,sandwich,\ne29467,2018/09/15,breakfast,pancakes,\"Carter, Kayden\"\ne29468,2018/09/15,lunch,sandwich,\ne29469,2018/09/15,dinner,indian food,\ne29476,2018/09/16,breakfast,toast and cheese,\"Carter, Kayden, Andrew, Emily\"\ne29477,2018/09/16,lunch,sandwich,\"Emily, Andrew, Carter\"\ne29478,2018/09/16,dinner,chinese food,\ne29483,2018/09/17,breakfast,oatmeal,\"Emily, Andrew, Carter, Kayden\"\ne29484,2018/09/17,lunch,sushi,\ne29485,2018/09/17,dinner,fish and chips,\ne29493,2018/09/18,breakfast,pancakes,\"Nora, Claire, Lydia\"\ne29494,2018/09/18,lunch,sushi,\ne29495,2018/09/18,dinner,sandwich,\ne29502,2018/09/19,breakfast,toast and cheese,\ne29503,2018/09/19,lunch,steak,\ne29504,2018/09/19,dinner,sushi,\ne29510,2018/09/20,breakfast,\"eggs, sausages, and bread\",\"Andrew, Carter, Kayden\"\ne29511,2018/09/20,lunch,sushi,\ne29512,2018/09/20,dinner,tacos,\"Benjamin, Jackson, Avery\"\ne29518,2018/09/21,breakfast,oatmeal,Carter\ne29519,2018/09/21,lunch,indian food,\ne29520,2018/09/21,dinner,sandwich,\ne29526,2018/09/22,breakfast,toast and cheese,Willow\ne29527,2018/09/22,lunch,steak,\"Carter, Kayden, Andrew, Emily\"\ne29528,2018/09/22,dinner,sushi,\ne29535,2018/09/23,breakfast,pancakes,\ne29536,2018/09/23,lunch,fish and chips,\"Eva, Olivia, Piper, Lydia\"\ne29537,2018/09/23,dinner,fish and chips,\"Piper, Kinsley\"\ne29545,2018/09/24,breakfast,cereals,\"Emily, Andrew, Kayden\"\ne29546,2018/09/24,lunch,tacos,\ne29547,2018/09/24,dinner,pasta,Hazel\ne29554,2018/09/25,breakfast,peanut-butter-jam,\ne29555,2018/09/25,lunch,tacos,\ne29556,2018/09/25,dinner,a burger,\ne29563,2018/09/26,breakfast,toast and cheese,\ne29564,2018/09/26,lunch,sushi,\"Nora, Claire, Rylee, Nevaeh, Piper, Kinsley\"\ne29565,2018/09/26,dinner,sushi,\"Andrew, Kayden, Carter\"\ne29572,2018/09/27,breakfast,oatmeal,\"Layla, Olivia, Rylee, Claire, Nora, Piper, Lydia, Hazel, Kinsley, Piper, Avery\"\ne29573,2018/09/27,lunch,pasta,\"Andrew, Emily, Kayden, Carter\"\ne29574,2018/09/27,dinner,steak,\ne29581,2018/09/28,breakfast,pancakes,\ne29582,2018/09/28,lunch,steak,\"Kinsley, Layla, Piper, Avery, Nora, Olivia\"\ne29583,2018/09/28,dinner,steak,\ne29590,2018/09/29,breakfast,oatmeal,\ne29591,2018/09/29,lunch,steak,Willow\ne29592,2018/09/29,dinner,sushi,\ne29599,2018/09/30,breakfast,\"eggs, sausages, and bread\",\ne29600,2018/09/30,lunch,pasta,\ne29601,2018/09/30,dinner,steak,\ne29608,2018/10/01,breakfast,cereals,\"Eva, Piper, Avery, Layla\"\ne29609,2018/10/01,lunch,sushi,\"Kayden, Emily, Carter, Andrew\"\ne29610,2018/10/01,dinner,steak,Benjamin\ne29617,2018/10/02,breakfast,cereals,\"Jackson, Willow, Benjamin, Avery\"\ne29618,2018/10/02,lunch,sandwich,\ne29619,2018/10/02,dinner,sushi,\ne29625,2018/10/03,breakfast,pancakes,\ne29626,2018/10/03,lunch,sushi,\ne29627,2018/10/03,dinner,pasta,\ne29633,2018/10/04,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Avery, Jackson, Willow\"\ne29634,2018/10/04,lunch,indian food,\"Lydia, Eva, Nora, Layla, Piper, Piper, Kinsley, Nevaeh, Olivia\"\ne29635,2018/10/04,dinner,steak,\ne29641,2018/10/05,breakfast,cereals,\ne29642,2018/10/05,lunch,steak,\ne29643,2018/10/05,dinner,sushi,\ne29649,2018/10/06,breakfast,cereals,\"Eva, Layla, Lydia, Olivia, Piper, Rylee, Piper\"\ne29650,2018/10/06,lunch,steak,\"Eva, Olivia, Hazel, Kinsley, Layla, Nora, Nevaeh, Lydia, Piper\"\ne29651,2018/10/06,dinner,pasta,\ne29658,2018/10/07,breakfast,oatmeal,\"Lydia, Rylee\"\ne29659,2018/10/07,lunch,sandwich,\ne29660,2018/10/07,dinner,tacos,Kayden\ne29666,2018/10/08,breakfast,cereals,\ne29667,2018/10/08,lunch,chinese food,\ne29668,2018/10/08,dinner,fish and chips,\ne29675,2018/10/09,breakfast,cereals,\"Emily, Andrew, Carter, Kayden\"\ne29676,2018/10/09,lunch,pasta,\ne29677,2018/10/09,dinner,a burger,\ne29684,2018/10/10,breakfast,toast and cheese,\ne29685,2018/10/10,lunch,tacos,\ne29686,2018/10/10,dinner,fish and chips,\ne29694,2018/10/11,breakfast,cereals,\"Carter, Kayden\"\ne29695,2018/10/11,lunch,steak,\"Nevaeh, Lydia, Kinsley, Eva, Rylee, Hazel, Piper, Nora, Olivia, Piper\"\ne29696,2018/10/11,dinner,indian food,Nevaeh\ne29702,2018/10/12,breakfast,cereals,Benjamin\ne29703,2018/10/12,lunch,tacos,\ne29704,2018/10/12,dinner,fish and chips,\"Emily, Kayden, Andrew, Carter\"\ne29712,2018/10/13,breakfast,oatmeal,\ne29713,2018/10/13,lunch,chinese food,\ne29714,2018/10/13,dinner,steak,\"Benjamin, Willow, Avery, Jackson\"\ne29722,2018/10/14,breakfast,cereals,\ne29723,2018/10/14,lunch,sandwich,\"Lydia, Rylee, Kinsley, Piper\"\ne29724,2018/10/14,dinner,tacos,\ne29731,2018/10/15,breakfast,oatmeal,\ne29732,2018/10/15,lunch,steak,\"Benjamin, Willow, Jackson\"\ne29733,2018/10/15,dinner,fish and chips,\ne29740,2018/10/16,breakfast,peanut-butter-jam,\ne29741,2018/10/16,lunch,steak,\ne29742,2018/10/16,dinner,tacos,\ne29750,2018/10/17,breakfast,oatmeal,\"Jackson, Willow, Benjamin, Avery\"\ne29751,2018/10/17,lunch,sushi,\ne29752,2018/10/17,dinner,chinese food,\ne29759,2018/10/18,breakfast,peanut-butter-jam,Kayden\ne29760,2018/10/18,lunch,sushi,\"Jackson, Willow\"\ne29761,2018/10/18,dinner,sandwich,\ne29768,2018/10/19,breakfast,\"eggs, sausages, and bread\",\"Kinsley, Nora, Piper, Piper, Rylee, Eva, Lydia\"\ne29769,2018/10/19,lunch,fish and chips,\"Claire, Avery, Lydia, Rylee, Layla, Eva, Piper, Hazel, Olivia, Nora\"\ne29770,2018/10/19,dinner,fish and chips,\"Willow, Benjamin, Avery, Jackson\"\ne29777,2018/10/20,breakfast,pancakes,\ne29778,2018/10/20,lunch,indian food,\ne29779,2018/10/20,dinner,sandwich,\ne29785,2018/10/21,breakfast,toast and cheese,\ne29786,2018/10/21,lunch,tacos,\ne29787,2018/10/21,dinner,sandwich,\ne29794,2018/10/22,breakfast,peanut-butter-jam,Emily\ne29795,2018/10/22,lunch,a burger,\"Layla, Nevaeh, Eva, Piper, Rylee, Kinsley\"\ne29796,2018/10/22,dinner,pasta,\ne29803,2018/10/23,breakfast,oatmeal,\ne29804,2018/10/23,lunch,chinese food,\"Emily, Carter, Kayden\"\ne29805,2018/10/23,dinner,indian food,\"Carter, Andrew, Kayden, Emily\"\ne29812,2018/10/24,breakfast,cereals,\ne29813,2018/10/24,lunch,indian food,Carter\ne29814,2018/10/24,dinner,fish and chips,\ne29822,2018/10/25,breakfast,oatmeal,\ne29823,2018/10/25,lunch,tacos,\ne29824,2018/10/25,dinner,sandwich,\"Andrew, Kayden, Emily\"\ne29831,2018/10/26,breakfast,peanut-butter-jam,\ne29832,2018/10/26,lunch,chinese food,\ne29833,2018/10/26,dinner,fish and chips,\ne29841,2018/10/27,breakfast,pancakes,\ne29842,2018/10/27,lunch,a burger,\"Kayden, Carter\"\ne29843,2018/10/27,dinner,indian food,\"Claire, Olivia\"\ne29850,2018/10/28,breakfast,cereals,\ne29851,2018/10/28,lunch,a burger,\"Carter, Andrew\"\ne29852,2018/10/28,dinner,a burger,\"Carter, Emily, Kayden, Andrew\"\ne29860,2018/10/29,breakfast,oatmeal,\ne29861,2018/10/29,lunch,pasta,\ne29862,2018/10/29,dinner,tacos,\ne29870,2018/10/30,breakfast,toast and cheese,\ne29871,2018/10/30,lunch,fish and chips,\"Andrew, Carter, Emily\"\ne29872,2018/10/30,dinner,indian food,\ne29879,2018/10/31,breakfast,oatmeal,\ne29880,2018/10/31,lunch,sandwich,\"Andrew, Emily, Carter, Kayden\"\ne29881,2018/10/31,dinner,sushi,\ne29888,2018/11/01,breakfast,peanut-butter-jam,\ne29889,2018/11/01,lunch,pasta,\ne29890,2018/11/01,dinner,tacos,\ne29896,2018/11/02,breakfast,pancakes,\"Hazel, Nevaeh, Nora, Kinsley, Piper, Olivia, Piper, Layla, Rylee, Claire\"\ne29897,2018/11/02,lunch,sandwich,\ne29898,2018/11/02,dinner,fish and chips,\ne29905,2018/11/03,breakfast,oatmeal,\ne29906,2018/11/03,lunch,a burger,\"Kinsley, Nora, Layla, Claire, Piper, Avery, Nevaeh, Rylee, Piper\"\ne29907,2018/11/03,dinner,indian food,Emily\ne29913,2018/11/04,breakfast,toast and cheese,\ne29914,2018/11/04,lunch,a burger,\ne29915,2018/11/04,dinner,sandwich,\ne29921,2018/11/05,breakfast,peanut-butter-jam,\"Carter, Andrew, Emily, Kayden\"\ne29922,2018/11/05,lunch,fish and chips,\"Nevaeh, Piper, Olivia, Nora, Piper, Avery, Rylee, Claire, Eva, Lydia, Layla, Hazel, Kinsley\"\ne29923,2018/11/05,dinner,pasta,\ne29931,2018/11/06,breakfast,pancakes,\"Hazel, Eva, Nevaeh\"\ne29932,2018/11/06,lunch,sandwich,\ne29933,2018/11/06,dinner,tacos,\ne29939,2018/11/07,breakfast,peanut-butter-jam,\ne29940,2018/11/07,lunch,chinese food,\ne29941,2018/11/07,dinner,pasta,Kinsley\ne29947,2018/11/08,breakfast,peanut-butter-jam,\ne29948,2018/11/08,lunch,fish and chips,Andrew\ne29949,2018/11/08,dinner,a burger,\ne29955,2018/11/09,breakfast,peanut-butter-jam,\"Olivia, Piper, Nevaeh, Lydia, Avery, Rylee\"\ne29956,2018/11/09,lunch,sandwich,\ne29957,2018/11/09,dinner,fish and chips,\"Kayden, Emily\"\ne29964,2018/11/10,breakfast,toast and cheese,\"Avery, Willow, Jackson, Benjamin\"\ne29965,2018/11/10,lunch,chinese food,\ne29966,2018/11/10,dinner,chinese food,\ne29972,2018/11/11,breakfast,\"eggs, sausages, and bread\",\"Kayden, Emily, Carter\"\ne29973,2018/11/11,lunch,sushi,\ne29974,2018/11/11,dinner,a burger,\ne29981,2018/11/12,breakfast,oatmeal,\"Eva, Kinsley, Claire, Nora, Piper\"\ne29982,2018/11/12,lunch,steak,\ne29983,2018/11/12,dinner,a burger,\ne29989,2018/11/13,breakfast,\"eggs, sausages, and bread\",\"Eva, Nora\"\ne29990,2018/11/13,lunch,steak,\ne29991,2018/11/13,dinner,indian food,\ne29997,2018/11/14,breakfast,toast and cheese,\"Piper, Layla\"\ne29998,2018/11/14,lunch,indian food,\ne29999,2018/11/14,dinner,chinese food,Carter\ne30004,2018/11/15,breakfast,cereals,\ne30005,2018/11/15,lunch,indian food,\ne30006,2018/11/15,dinner,tacos,\ne30012,2018/11/16,breakfast,\"eggs, sausages, and bread\",\"Piper, Claire, Hazel, Rylee\"\ne30013,2018/11/16,lunch,a burger,\ne30014,2018/11/16,dinner,sandwich,\"Carter, Kayden, Emily, Andrew\"\ne30021,2018/11/17,breakfast,pancakes,\ne30022,2018/11/17,lunch,a burger,\ne30023,2018/11/17,dinner,steak,\ne30031,2018/11/18,breakfast,\"eggs, sausages, and bread\",\"Jackson, Benjamin\"\ne30032,2018/11/18,lunch,sushi,\ne30033,2018/11/18,dinner,tacos,\"Rylee, Claire, Piper, Eva, Nora, Piper, Kinsley, Layla, Lydia, Nevaeh, Olivia\"\ne30039,2018/11/19,breakfast,cereals,\"Avery, Benjamin, Jackson, Willow\"\ne30040,2018/11/19,lunch,a burger,\ne30041,2018/11/19,dinner,chinese food,\ne30048,2018/11/20,breakfast,pancakes,\ne30049,2018/11/20,lunch,pasta,\"Kayden, Carter, Andrew, Emily\"\ne30050,2018/11/20,dinner,indian food,\ne30058,2018/11/21,breakfast,toast and cheese,Claire\ne30059,2018/11/21,lunch,indian food,\ne30060,2018/11/21,dinner,sushi,\ne30067,2018/11/22,breakfast,cereals,Andrew\ne30068,2018/11/22,lunch,a burger,\"Emily, Kayden, Andrew, Carter\"\ne30069,2018/11/22,dinner,sushi,Emily\ne30075,2018/11/23,breakfast,\"eggs, sausages, and bread\",\ne30076,2018/11/23,lunch,sushi,\ne30077,2018/11/23,dinner,chinese food,\ne30084,2018/11/24,breakfast,cereals,\"Willow, Benjamin, Jackson\"\ne30085,2018/11/24,lunch,sandwich,\ne30086,2018/11/24,dinner,chinese food,\ne30093,2018/11/25,breakfast,oatmeal,\ne30094,2018/11/25,lunch,a burger,\ne30095,2018/11/25,dinner,fish and chips,\"Rylee, Kinsley, Eva, Hazel, Claire, Olivia, Avery\"\ne30103,2018/11/26,breakfast,cereals,\ne30104,2018/11/26,lunch,pasta,\ne30105,2018/11/26,dinner,sandwich,\"Lydia, Hazel, Claire, Olivia\"\ne30110,2018/11/27,breakfast,peanut-butter-jam,\ne30111,2018/11/27,lunch,chinese food,\ne30112,2018/11/27,dinner,steak,\"Carter, Emily, Kayden, Andrew\"\ne30118,2018/11/28,breakfast,pancakes,\"Avery, Jackson, Benjamin, Willow\"\ne30119,2018/11/28,lunch,sushi,Avery\ne30120,2018/11/28,dinner,steak,\"Emily, Carter, Andrew\"\ne30127,2018/11/29,breakfast,cereals,\"Benjamin, Jackson, Willow, Avery\"\ne30128,2018/11/29,lunch,fish and chips,\"Carter, Emily, Kayden, Andrew\"\ne30129,2018/11/29,dinner,fish and chips,\ne30137,2018/11/30,breakfast,cereals,\"Olivia, Claire, Lydia, Eva, Kinsley, Piper, Rylee\"\ne30138,2018/11/30,lunch,steak,\ne30139,2018/11/30,dinner,pasta,\ne30144,2018/12/01,breakfast,toast and cheese,\ne30145,2018/12/01,lunch,steak,\ne30146,2018/12/01,dinner,sushi,\ne30151,2018/12/02,breakfast,toast and cheese,\"Kayden, Emily, Andrew, Carter\"\ne30152,2018/12/02,lunch,indian food,\ne30153,2018/12/02,dinner,tacos,\ne30161,2018/12/03,breakfast,cereals,\ne30162,2018/12/03,lunch,chinese food,Willow\ne30163,2018/12/03,dinner,fish and chips,\ne30170,2018/12/04,breakfast,pancakes,\"Andrew, Carter, Kayden\"\ne30171,2018/12/04,lunch,pasta,\ne30172,2018/12/04,dinner,sandwich,\ne30178,2018/12/05,breakfast,oatmeal,\ne30179,2018/12/05,lunch,sandwich,\"Avery, Piper, Olivia, Kinsley, Rylee, Hazel, Piper, Nora\"\ne30180,2018/12/05,dinner,chinese food,\"Andrew, Carter, Emily, Kayden\"\ne30188,2018/12/06,breakfast,oatmeal,\"Emily, Carter, Kayden\"\ne30189,2018/12/06,lunch,steak,\ne30190,2018/12/06,dinner,sushi,\"Kayden, Emily\"\ne30197,2018/12/07,breakfast,\"eggs, sausages, and bread\",\ne30198,2018/12/07,lunch,a burger,\ne30199,2018/12/07,dinner,sandwich,\ne30205,2018/12/08,breakfast,peanut-butter-jam,\ne30206,2018/12/08,lunch,fish and chips,\ne30207,2018/12/08,dinner,a burger,\ne30215,2018/12/09,breakfast,cereals,\ne30216,2018/12/09,lunch,a burger,\ne30217,2018/12/09,dinner,sushi,\ne30224,2018/12/10,breakfast,pancakes,Benjamin\ne30225,2018/12/10,lunch,indian food,\"Nora, Piper, Nevaeh, Layla, Kinsley, Avery, Lydia, Claire, Olivia, Hazel, Eva, Rylee, Piper\"\ne30226,2018/12/10,dinner,tacos,\ne30233,2018/12/11,breakfast,oatmeal,\"Avery, Benjamin, Jackson\"\ne30234,2018/12/11,lunch,sushi,Andrew\ne30235,2018/12/11,dinner,pasta,\ne30242,2018/12/12,breakfast,toast and cheese,\ne30243,2018/12/12,lunch,fish and chips,\"Nevaeh, Piper, Nora\"\ne30244,2018/12/12,dinner,steak,\ne30250,2018/12/13,breakfast,pancakes,\ne30251,2018/12/13,lunch,steak,\"Nevaeh, Layla, Kinsley, Claire, Hazel, Nora, Lydia, Rylee, Eva, Avery, Piper, Olivia, Piper\"\ne30252,2018/12/13,dinner,tacos,\"Kinsley, Rylee, Lydia, Hazel, Eva, Piper, Avery, Nora, Olivia\"\ne30260,2018/12/14,breakfast,oatmeal,\ne30261,2018/12/14,lunch,sandwich,\ne30262,2018/12/14,dinner,fish and chips,\ne30268,2018/12/15,breakfast,cereals,\ne30269,2018/12/15,lunch,steak,\ne30270,2018/12/15,dinner,a burger,\ne30276,2018/12/16,breakfast,cereals,Carter\ne30277,2018/12/16,lunch,chinese food,\ne30278,2018/12/16,dinner,steak,\ne30285,2018/12/17,breakfast,pancakes,\"Jackson, Avery, Willow\"\ne30286,2018/12/17,lunch,sushi,\ne30287,2018/12/17,dinner,tacos,\"Kayden, Emily, Carter\"\ne30292,2018/12/18,breakfast,cereals,\"Piper, Olivia, Lydia, Layla, Nora\"\ne30293,2018/12/18,lunch,tacos,\ne30294,2018/12/18,dinner,a burger,\ne30302,2018/12/19,breakfast,pancakes,\ne30303,2018/12/19,lunch,a burger,\ne30304,2018/12/19,dinner,sushi,Andrew\ne30311,2018/12/20,breakfast,toast and cheese,\ne30312,2018/12/20,lunch,a burger,Emily\ne30313,2018/12/20,dinner,sushi,\ne30318,2018/12/21,breakfast,\"eggs, sausages, and bread\",\ne30319,2018/12/21,lunch,fish and chips,\"Olivia, Piper, Lydia, Rylee\"\ne30320,2018/12/21,dinner,pasta,\ne30327,2018/12/22,breakfast,\"eggs, sausages, and bread\",\ne30328,2018/12/22,lunch,tacos,\"Eva, Olivia, Kinsley, Avery, Nora, Layla, Piper, Lydia, Hazel, Nevaeh\"\ne30329,2018/12/22,dinner,pasta,Willow\ne30336,2018/12/23,breakfast,pancakes,\"Andrew, Emily\"\ne30337,2018/12/23,lunch,sandwich,\"Rylee, Nevaeh\"\ne30338,2018/12/23,dinner,steak,\"Benjamin, Avery, Willow, Jackson\"\ne30345,2018/12/24,breakfast,pancakes,\ne30346,2018/12/24,lunch,tacos,\ne30347,2018/12/24,dinner,sandwich,\"Avery, Jackson\"\ne30354,2018/12/25,breakfast,oatmeal,\"Hazel, Nevaeh, Kinsley, Nora, Avery, Lydia, Olivia, Claire, Piper, Layla, Eva\"\ne30355,2018/12/25,lunch,indian food,\ne30356,2018/12/25,dinner,sandwich,\ne30363,2018/12/26,breakfast,oatmeal,\"Kinsley, Nora, Nevaeh, Piper, Lydia\"\ne30364,2018/12/26,lunch,sandwich,\"Andrew, Kayden, Carter\"\ne30365,2018/12/26,dinner,chinese food,\ne30371,2018/12/27,breakfast,oatmeal,\ne30372,2018/12/27,lunch,sushi,\ne30373,2018/12/27,dinner,steak,\ne30378,2018/12/28,breakfast,\"eggs, sausages, and bread\",\ne30379,2018/12/28,lunch,a burger,\"Andrew, Carter, Emily, Kayden\"\ne30380,2018/12/28,dinner,sandwich,\"Benjamin, Jackson\"\ne30388,2018/12/29,breakfast,oatmeal,\ne30389,2018/12/29,lunch,a burger,\ne30390,2018/12/29,dinner,tacos,Carter\ne30397,2018/12/30,breakfast,toast and cheese,\ne30398,2018/12/30,lunch,fish and chips,\ne30399,2018/12/30,dinner,pasta,\"Andrew, Emily\"\ne30406,2018/12/31,breakfast,pancakes,\"Andrew, Kayden, Emily\"\ne30407,2018/12/31,lunch,chinese food,\ne30408,2018/12/31,dinner,chinese food,\"Emily, Carter\"\ne30625,2019/01/01,breakfast,peanut-butter-jam,\"Carter, Emily, Andrew, Kayden\"\ne30626,2019/01/01,lunch,tacos,\"Carter, Kayden, Emily, Andrew\"\ne30627,2019/01/01,dinner,sushi,\ne30633,2019/01/02,breakfast,oatmeal,\ne30634,2019/01/02,lunch,fish and chips,\ne30635,2019/01/02,dinner,indian food,Emily\ne30642,2019/01/03,breakfast,peanut-butter-jam,\"Andrew, Emily\"\ne30643,2019/01/03,lunch,chinese food,\"Emily, Carter\"\ne30644,2019/01/03,dinner,sandwich,Avery\ne30651,2019/01/04,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily\"\ne30652,2019/01/04,lunch,tacos,\"Emily, Carter, Andrew\"\ne30653,2019/01/04,dinner,sushi,\ne30660,2019/01/05,breakfast,toast and cheese,\ne30661,2019/01/05,lunch,chinese food,\ne30662,2019/01/05,dinner,indian food,\"Lydia, Kinsley, Hazel, Claire, Layla, Nevaeh, Rylee, Nora, Avery, Piper, Eva\"\ne30667,2019/01/06,breakfast,pancakes,Emily\ne30668,2019/01/06,lunch,indian food,\"Andrew, Kayden\"\ne30669,2019/01/06,dinner,steak,\ne30676,2019/01/07,breakfast,pancakes,Emily\ne30677,2019/01/07,lunch,fish and chips,\"Hazel, Nevaeh, Piper, Claire, Eva, Layla, Avery, Lydia, Kinsley, Nora, Olivia\"\ne30678,2019/01/07,dinner,indian food,\ne30684,2019/01/08,breakfast,cereals,\"Carter, Emily, Kayden\"\ne30685,2019/01/08,lunch,indian food,\"Andrew, Carter\"\ne30686,2019/01/08,dinner,steak,\"Claire, Avery\"\ne30692,2019/01/09,breakfast,peanut-butter-jam,\ne30693,2019/01/09,lunch,indian food,\ne30694,2019/01/09,dinner,indian food,\ne30700,2019/01/10,breakfast,peanut-butter-jam,\ne30701,2019/01/10,lunch,a burger,\ne30702,2019/01/10,dinner,fish and chips,\ne30708,2019/01/11,breakfast,oatmeal,\ne30709,2019/01/11,lunch,pasta,\ne30710,2019/01/11,dinner,fish and chips,\"Hazel, Avery, Nora, Piper, Layla, Nevaeh\"\ne30717,2019/01/12,breakfast,peanut-butter-jam,\"Emily, Carter, Kayden, Andrew\"\ne30718,2019/01/12,lunch,sushi,\"Rylee, Lydia, Claire, Nevaeh, Kinsley, Piper, Avery, Hazel, Layla, Nora\"\ne30719,2019/01/12,dinner,indian food,\ne30726,2019/01/13,breakfast,toast and cheese,\ne30727,2019/01/13,lunch,sushi,\ne30728,2019/01/13,dinner,tacos,\"Kayden, Andrew\"\ne30736,2019/01/14,breakfast,oatmeal,\"Layla, Lydia, Nevaeh, Nora, Claire, Piper, Eva, Piper, Kinsley, Hazel\"\ne30737,2019/01/14,lunch,a burger,\"Lydia, Layla, Nevaeh, Piper, Kinsley, Piper, Hazel, Nora, Eva, Olivia, Avery, Rylee, Claire\"\ne30738,2019/01/14,dinner,tacos,\ne30745,2019/01/15,breakfast,oatmeal,\ne30746,2019/01/15,lunch,indian food,Carter\ne30747,2019/01/15,dinner,steak,\"Emily, Kayden, Carter\"\ne30752,2019/01/16,breakfast,\"eggs, sausages, and bread\",\"Andrew, Carter, Kayden, Emily\"\ne30753,2019/01/16,lunch,chinese food,\ne30754,2019/01/16,dinner,pasta,\ne30760,2019/01/17,breakfast,oatmeal,\ne30761,2019/01/17,lunch,steak,Kayden\ne30762,2019/01/17,dinner,sushi,\ne30769,2019/01/18,breakfast,peanut-butter-jam,\ne30770,2019/01/18,lunch,pasta,\ne30771,2019/01/18,dinner,indian food,\"Nora, Claire, Hazel, Lydia, Avery, Olivia, Piper, Kinsley\"\ne30778,2019/01/19,breakfast,cereals,\ne30779,2019/01/19,lunch,sushi,\ne30780,2019/01/19,dinner,fish and chips,\"Carter, Andrew\"\ne30787,2019/01/20,breakfast,peanut-butter-jam,\ne30788,2019/01/20,lunch,pasta,\"Carter, Emily, Andrew, Kayden\"\ne30789,2019/01/20,dinner,a burger,\ne30796,2019/01/21,breakfast,oatmeal,\ne30797,2019/01/21,lunch,pasta,\"Carter, Emily\"\ne30798,2019/01/21,dinner,a burger,\ne30804,2019/01/22,breakfast,\"eggs, sausages, and bread\",\ne30805,2019/01/22,lunch,chinese food,\ne30806,2019/01/22,dinner,fish and chips,\"Andrew, Emily, Carter\"\ne30814,2019/01/23,breakfast,peanut-butter-jam,\ne30815,2019/01/23,lunch,a burger,\ne30816,2019/01/23,dinner,steak,\ne30823,2019/01/24,breakfast,peanut-butter-jam,\"Avery, Willow, Benjamin, Jackson\"\ne30824,2019/01/24,lunch,sandwich,\ne30825,2019/01/24,dinner,indian food,\ne30832,2019/01/25,breakfast,cereals,\"Kayden, Andrew\"\ne30833,2019/01/25,lunch,a burger,\ne30834,2019/01/25,dinner,tacos,\"Carter, Andrew\"\ne30840,2019/01/26,breakfast,oatmeal,\"Lydia, Claire, Nora, Olivia, Kinsley, Avery, Hazel, Piper, Rylee\"\ne30841,2019/01/26,lunch,sandwich,\ne30842,2019/01/26,dinner,pasta,\"Emily, Carter, Andrew\"\ne30850,2019/01/27,breakfast,toast and cheese,\ne30851,2019/01/27,lunch,fish and chips,\"Avery, Willow\"\ne30852,2019/01/27,dinner,sushi,\ne30857,2019/01/28,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew, Emily\"\ne30858,2019/01/28,lunch,a burger,\"Kayden, Andrew, Emily, Carter\"\ne30859,2019/01/28,dinner,tacos,\ne30866,2019/01/29,breakfast,peanut-butter-jam,\"Avery, Willow, Jackson\"\ne30867,2019/01/29,lunch,indian food,\ne30868,2019/01/29,dinner,chinese food,\"Hazel, Piper, Nevaeh, Nora, Lydia, Piper, Olivia, Layla, Rylee, Kinsley, Claire\"\ne30874,2019/01/30,breakfast,\"eggs, sausages, and bread\",\ne30875,2019/01/30,lunch,fish and chips,\"Kayden, Emily\"\ne30876,2019/01/30,dinner,a burger,\ne30882,2019/01/31,breakfast,toast and cheese,\ne30883,2019/01/31,lunch,a burger,\ne30884,2019/01/31,dinner,steak,\"Piper, Olivia, Nora, Piper, Eva, Nevaeh, Claire, Avery\"\ne30891,2019/02/01,breakfast,oatmeal,\"Layla, Avery, Olivia, Nora, Piper, Lydia, Eva\"\ne30892,2019/02/01,lunch,chinese food,\ne30893,2019/02/01,dinner,fish and chips,\ne30899,2019/02/02,breakfast,pancakes,\ne30900,2019/02/02,lunch,chinese food,\ne30901,2019/02/02,dinner,tacos,\ne30908,2019/02/03,breakfast,\"eggs, sausages, and bread\",\ne30909,2019/02/03,lunch,chinese food,\ne30910,2019/02/03,dinner,tacos,\ne30917,2019/02/04,breakfast,\"eggs, sausages, and bread\",Carter\ne30918,2019/02/04,lunch,chinese food,\ne30919,2019/02/04,dinner,indian food,\ne30926,2019/02/05,breakfast,\"eggs, sausages, and bread\",\ne30927,2019/02/05,lunch,indian food,\ne30928,2019/02/05,dinner,fish and chips,\"Carter, Andrew, Kayden, Emily\"\ne30934,2019/02/06,breakfast,oatmeal,\ne30935,2019/02/06,lunch,tacos,\ne30936,2019/02/06,dinner,sandwich,Kayden\ne30942,2019/02/07,breakfast,cereals,\ne30943,2019/02/07,lunch,fish and chips,\ne30944,2019/02/07,dinner,sandwich,\ne30952,2019/02/08,breakfast,\"eggs, sausages, and bread\",Carter\ne30953,2019/02/08,lunch,pasta,\ne30954,2019/02/08,dinner,chinese food,\"Emily, Carter, Kayden, Andrew\"\ne30962,2019/02/09,breakfast,oatmeal,\ne30963,2019/02/09,lunch,steak,\ne30964,2019/02/09,dinner,steak,\ne30971,2019/02/10,breakfast,toast and cheese,\"Andrew, Kayden, Carter, Emily\"\ne30972,2019/02/10,lunch,pasta,\ne30973,2019/02/10,dinner,a burger,\ne30980,2019/02/11,breakfast,cereals,\ne30981,2019/02/11,lunch,tacos,\ne30982,2019/02/11,dinner,tacos,\ne30988,2019/02/12,breakfast,oatmeal,\ne30989,2019/02/12,lunch,chinese food,\ne30990,2019/02/12,dinner,chinese food,\ne30997,2019/02/13,breakfast,peanut-butter-jam,\ne30998,2019/02/13,lunch,steak,\ne30999,2019/02/13,dinner,chinese food,\"Carter, Andrew\"\ne31005,2019/02/14,breakfast,\"eggs, sausages, and bread\",\ne31006,2019/02/14,lunch,sushi,\ne31007,2019/02/14,dinner,tacos,\"Kayden, Emily\"\ne31014,2019/02/15,breakfast,toast and cheese,\ne31015,2019/02/15,lunch,indian food,Jackson\ne31016,2019/02/15,dinner,a burger,\ne31024,2019/02/16,breakfast,toast and cheese,\"Emily, Kayden, Andrew\"\ne31025,2019/02/16,lunch,a burger,\ne31026,2019/02/16,dinner,sandwich,\"Andrew, Emily, Kayden, Carter\"\ne31033,2019/02/17,breakfast,pancakes,\"Carter, Andrew, Emily, Kayden\"\ne31034,2019/02/17,lunch,indian food,\"Lydia, Olivia, Layla, Eva, Nora, Avery, Hazel, Piper, Piper, Rylee, Kinsley, Nevaeh\"\ne31035,2019/02/17,dinner,a burger,\ne31042,2019/02/18,breakfast,toast and cheese,\"Rylee, Claire, Nevaeh, Olivia\"\ne31043,2019/02/18,lunch,sushi,\"Olivia, Nevaeh, Nora, Eva, Layla, Piper, Hazel, Piper, Avery, Lydia, Claire\"\ne31044,2019/02/18,dinner,a burger,\"Kayden, Emily\"\ne31051,2019/02/19,breakfast,peanut-butter-jam,\ne31052,2019/02/19,lunch,pasta,\"Jackson, Avery, Willow, Benjamin\"\ne31053,2019/02/19,dinner,tacos,\"Benjamin, Jackson\"\ne31060,2019/02/20,breakfast,\"eggs, sausages, and bread\",\ne31061,2019/02/20,lunch,sandwich,\ne31062,2019/02/20,dinner,chinese food,\ne31068,2019/02/21,breakfast,\"eggs, sausages, and bread\",\ne31069,2019/02/21,lunch,a burger,\ne31070,2019/02/21,dinner,pasta,\ne31074,2019/02/22,breakfast,toast and cheese,\"Andrew, Carter, Kayden\"\ne31075,2019/02/22,lunch,tacos,\"Andrew, Emily, Carter\"\ne31076,2019/02/22,dinner,steak,\ne31081,2019/02/23,breakfast,\"eggs, sausages, and bread\",\ne31082,2019/02/23,lunch,indian food,\ne31083,2019/02/23,dinner,fish and chips,\"Kayden, Carter, Emily\"\ne31089,2019/02/24,breakfast,toast and cheese,\"Kayden, Emily, Andrew, Carter\"\ne31090,2019/02/24,lunch,pasta,\ne31091,2019/02/24,dinner,a burger,\ne31096,2019/02/25,breakfast,peanut-butter-jam,\ne31097,2019/02/25,lunch,a burger,Avery\ne31098,2019/02/25,dinner,steak,\ne31105,2019/02/26,breakfast,oatmeal,\"Carter, Emily, Kayden, Andrew\"\ne31106,2019/02/26,lunch,tacos,\ne31107,2019/02/26,dinner,tacos,\"Kayden, Andrew, Carter, Emily\"\ne31114,2019/02/27,breakfast,\"eggs, sausages, and bread\",\"Willow, Jackson\"\ne31115,2019/02/27,lunch,fish and chips,\ne31116,2019/02/27,dinner,sandwich,\ne31122,2019/02/28,breakfast,\"eggs, sausages, and bread\",\"Avery, Piper, Hazel, Rylee\"\ne31123,2019/02/28,lunch,sandwich,\ne31124,2019/02/28,dinner,fish and chips,\ne31130,2019/03/01,breakfast,peanut-butter-jam,\ne31131,2019/03/01,lunch,fish and chips,\ne31132,2019/03/01,dinner,tacos,\ne31137,2019/03/02,breakfast,oatmeal,Kayden\ne31138,2019/03/02,lunch,fish and chips,\ne31139,2019/03/02,dinner,indian food,\"Andrew, Emily, Kayden\"\ne31145,2019/03/03,breakfast,pancakes,\ne31146,2019/03/03,lunch,fish and chips,\ne31147,2019/03/03,dinner,sandwich,\ne31153,2019/03/04,breakfast,pancakes,\ne31154,2019/03/04,lunch,steak,Kayden\ne31155,2019/03/04,dinner,fish and chips,\"Carter, Andrew, Kayden\"\ne31162,2019/03/05,breakfast,oatmeal,\"Hazel, Nevaeh, Nora, Eva, Olivia, Lydia, Layla, Avery, Kinsley, Piper, Rylee, Claire, Piper\"\ne31163,2019/03/05,lunch,pasta,\"Nevaeh, Piper, Claire, Eva, Kinsley, Nora, Hazel, Olivia, Avery, Layla, Rylee\"\ne31164,2019/03/05,dinner,pasta,\ne31171,2019/03/06,breakfast,pancakes,\ne31172,2019/03/06,lunch,pasta,\ne31173,2019/03/06,dinner,sandwich,\"Andrew, Kayden, Emily, Carter\"\ne31179,2019/03/07,breakfast,toast and cheese,\"Kayden, Emily, Carter\"\ne31180,2019/03/07,lunch,chinese food,\ne31181,2019/03/07,dinner,sushi,\ne31188,2019/03/08,breakfast,toast and cheese,\ne31189,2019/03/08,lunch,sushi,\"Nora, Layla, Hazel, Nevaeh, Kinsley, Olivia, Piper\"\ne31190,2019/03/08,dinner,sandwich,\ne31197,2019/03/09,breakfast,toast and cheese,\"Avery, Olivia, Nora, Piper, Rylee, Piper, Kinsley, Claire, Lydia\"\ne31198,2019/03/09,lunch,chinese food,\ne31199,2019/03/09,dinner,pasta,\ne31207,2019/03/10,breakfast,\"eggs, sausages, and bread\",\ne31208,2019/03/10,lunch,a burger,\"Emily, Carter, Andrew\"\ne31209,2019/03/10,dinner,pasta,\"Emily, Andrew, Kayden\"\ne31215,2019/03/11,breakfast,cereals,Jackson\ne31216,2019/03/11,lunch,sushi,Avery\ne31217,2019/03/11,dinner,indian food,\ne31225,2019/03/12,breakfast,toast and cheese,\ne31226,2019/03/12,lunch,steak,\ne31227,2019/03/12,dinner,a burger,\ne31235,2019/03/13,breakfast,oatmeal,\"Avery, Jackson, Willow\"\ne31236,2019/03/13,lunch,sandwich,\"Emily, Andrew\"\ne31237,2019/03/13,dinner,chinese food,\"Kayden, Carter\"\ne31245,2019/03/14,breakfast,pancakes,Emily\ne31246,2019/03/14,lunch,steak,Andrew\ne31247,2019/03/14,dinner,tacos,\"Nevaeh, Avery, Hazel, Eva, Claire\"\ne31253,2019/03/15,breakfast,toast and cheese,\ne31254,2019/03/15,lunch,chinese food,Kayden\ne31255,2019/03/15,dinner,steak,\ne31261,2019/03/16,breakfast,toast and cheese,\"Kayden, Emily, Andrew\"\ne31262,2019/03/16,lunch,steak,\"Olivia, Piper, Lydia, Avery, Hazel, Rylee, Claire, Kinsley, Layla, Eva\"\ne31263,2019/03/16,dinner,indian food,\ne31270,2019/03/17,breakfast,toast and cheese,\ne31271,2019/03/17,lunch,fish and chips,\"Kayden, Carter, Emily, Andrew\"\ne31272,2019/03/17,dinner,sandwich,\ne31278,2019/03/18,breakfast,peanut-butter-jam,\ne31279,2019/03/18,lunch,pasta,\ne31280,2019/03/18,dinner,sandwich,Willow\ne31286,2019/03/19,breakfast,oatmeal,Andrew\ne31287,2019/03/19,lunch,fish and chips,\"Lydia, Claire, Kinsley, Piper, Olivia, Nevaeh, Piper, Layla, Hazel, Avery, Nora\"\ne31288,2019/03/19,dinner,chinese food,\ne31295,2019/03/20,breakfast,oatmeal,\ne31296,2019/03/20,lunch,tacos,\ne31297,2019/03/20,dinner,steak,\ne31303,2019/03/21,breakfast,toast and cheese,\ne31304,2019/03/21,lunch,tacos,\ne31305,2019/03/21,dinner,a burger,\ne31311,2019/03/22,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew, Emily, Carter\"\ne31312,2019/03/22,lunch,a burger,\ne31313,2019/03/22,dinner,sandwich,\ne31321,2019/03/23,breakfast,oatmeal,\ne31322,2019/03/23,lunch,steak,\ne31323,2019/03/23,dinner,sushi,\"Avery, Willow\"\ne31329,2019/03/24,breakfast,cereals,\ne31330,2019/03/24,lunch,steak,\"Andrew, Emily, Kayden\"\ne31331,2019/03/24,dinner,sandwich,\"Andrew, Kayden\"\ne31338,2019/03/25,breakfast,toast and cheese,\ne31339,2019/03/25,lunch,chinese food,\ne31340,2019/03/25,dinner,fish and chips,\"Claire, Eva, Layla, Rylee, Piper, Kinsley, Nevaeh, Avery, Hazel, Nora, Piper, Olivia, Lydia\"\ne31346,2019/03/26,breakfast,\"eggs, sausages, and bread\",\ne31347,2019/03/26,lunch,sushi,\"Willow, Avery, Benjamin\"\ne31348,2019/03/26,dinner,fish and chips,\ne31355,2019/03/27,breakfast,peanut-butter-jam,\"Carter, Kayden, Andrew\"\ne31356,2019/03/27,lunch,sushi,\"Carter, Kayden\"\ne31357,2019/03/27,dinner,pasta,\ne31365,2019/03/28,breakfast,toast and cheese,\ne31366,2019/03/28,lunch,tacos,\ne31367,2019/03/28,dinner,a burger,\ne31374,2019/03/29,breakfast,pancakes,\ne31375,2019/03/29,lunch,sandwich,\ne31376,2019/03/29,dinner,sandwich,\"Kayden, Andrew, Emily\"\ne31384,2019/03/30,breakfast,peanut-butter-jam,\ne31385,2019/03/30,lunch,pasta,Andrew\ne31386,2019/03/30,dinner,steak,\ne31392,2019/03/31,breakfast,oatmeal,\ne31393,2019/03/31,lunch,sandwich,\ne31394,2019/03/31,dinner,tacos,\ne31401,2019/04/01,breakfast,peanut-butter-jam,\"Kayden, Emily, Andrew, Carter\"\ne31402,2019/04/01,lunch,steak,\ne31403,2019/04/01,dinner,a burger,\ne31410,2019/04/02,breakfast,cereals,\"Kayden, Andrew, Emily\"\ne31411,2019/04/02,lunch,tacos,\ne31412,2019/04/02,dinner,a burger,\ne31419,2019/04/03,breakfast,pancakes,\"Carter, Kayden, Andrew\"\ne31420,2019/04/03,lunch,a burger,\ne31421,2019/04/03,dinner,steak,\ne31428,2019/04/04,breakfast,toast and cheese,\"Carter, Andrew, Emily, Kayden\"\ne31429,2019/04/04,lunch,steak,\ne31430,2019/04/04,dinner,pasta,\"Avery, Lydia, Nevaeh, Kinsley, Piper, Layla, Claire, Nora, Eva, Piper, Hazel, Rylee, Olivia\"\ne31437,2019/04/05,breakfast,peanut-butter-jam,\"Andrew, Carter, Kayden\"\ne31438,2019/04/05,lunch,sandwich,\"Hazel, Piper\"\ne31439,2019/04/05,dinner,pasta,\ne31445,2019/04/06,breakfast,cereals,\ne31446,2019/04/06,lunch,steak,Carter\ne31447,2019/04/06,dinner,steak,\ne31455,2019/04/07,breakfast,toast and cheese,\"Jackson, Benjamin, Avery, Willow\"\ne31456,2019/04/07,lunch,chinese food,\ne31457,2019/04/07,dinner,sushi,\"Nevaeh, Avery, Rylee, Lydia, Kinsley, Nora, Hazel, Piper, Piper, Claire, Layla, Olivia\"\ne31463,2019/04/08,breakfast,peanut-butter-jam,Willow\ne31464,2019/04/08,lunch,indian food,\"Kayden, Andrew, Carter, Emily\"\ne31465,2019/04/08,dinner,tacos,\"Avery, Lydia\"\ne31471,2019/04/09,breakfast,cereals,\"Andrew, Emily\"\ne31472,2019/04/09,lunch,sushi,\ne31473,2019/04/09,dinner,a burger,\"Emily, Kayden, Andrew, Carter\"\ne31481,2019/04/10,breakfast,pancakes,\"Nora, Kinsley, Nevaeh\"\ne31482,2019/04/10,lunch,sushi,\ne31483,2019/04/10,dinner,sushi,\ne31490,2019/04/11,breakfast,cereals,\ne31491,2019/04/11,lunch,sandwich,\ne31492,2019/04/11,dinner,tacos,\ne31498,2019/04/12,breakfast,oatmeal,\ne31499,2019/04/12,lunch,steak,\ne31500,2019/04/12,dinner,a burger,\"Jackson, Avery\"\ne31507,2019/04/13,breakfast,oatmeal,\ne31508,2019/04/13,lunch,a burger,\ne31509,2019/04/13,dinner,sandwich,\ne31515,2019/04/14,breakfast,pancakes,\ne31516,2019/04/14,lunch,steak,\ne31517,2019/04/14,dinner,sushi,\"Avery, Jackson, Willow, Benjamin\"\ne31523,2019/04/15,breakfast,cereals,\"Emily, Carter, Kayden, Andrew\"\ne31524,2019/04/15,lunch,sandwich,\"Rylee, Olivia, Piper, Eva, Nevaeh, Hazel, Kinsley\"\ne31525,2019/04/15,dinner,sandwich,Willow\ne31531,2019/04/16,breakfast,pancakes,\ne31532,2019/04/16,lunch,indian food,\ne31533,2019/04/16,dinner,fish and chips,Andrew\ne31539,2019/04/17,breakfast,pancakes,\"Kinsley, Avery, Piper\"\ne31540,2019/04/17,lunch,steak,\"Kayden, Emily, Carter\"\ne31541,2019/04/17,dinner,pasta,\"Nevaeh, Nora, Avery, Hazel, Eva, Kinsley\"\ne31547,2019/04/18,breakfast,\"eggs, sausages, and bread\",\ne31548,2019/04/18,lunch,sushi,\ne31549,2019/04/18,dinner,indian food,\ne31555,2019/04/19,breakfast,peanut-butter-jam,\ne31556,2019/04/19,lunch,chinese food,\ne31557,2019/04/19,dinner,fish and chips,\"Rylee, Avery, Nevaeh, Piper, Lydia\"\ne31563,2019/04/20,breakfast,peanut-butter-jam,\ne31564,2019/04/20,lunch,fish and chips,\"Avery, Jackson\"\ne31565,2019/04/20,dinner,chinese food,\"Kinsley, Claire, Avery, Piper, Piper, Lydia, Rylee, Layla, Olivia, Hazel, Nevaeh, Eva, Nora\"\ne31572,2019/04/21,breakfast,oatmeal,\ne31573,2019/04/21,lunch,steak,\ne31574,2019/04/21,dinner,a burger,\"Olivia, Rylee, Claire, Hazel, Piper, Nora\"\ne31581,2019/04/22,breakfast,toast and cheese,\ne31582,2019/04/22,lunch,tacos,\"Emily, Kayden\"\ne31583,2019/04/22,dinner,sushi,\ne31588,2019/04/23,breakfast,\"eggs, sausages, and bread\",\"Piper, Kinsley, Nevaeh, Rylee, Piper, Layla, Olivia, Hazel\"\ne31589,2019/04/23,lunch,fish and chips,\ne31590,2019/04/23,dinner,steak,\"Olivia, Lydia, Nevaeh\"\ne31596,2019/04/24,breakfast,cereals,\"Andrew, Kayden\"\ne31597,2019/04/24,lunch,indian food,\"Avery, Willow, Benjamin, Jackson\"\ne31598,2019/04/24,dinner,indian food,\"Willow, Jackson, Benjamin\"\ne31605,2019/04/25,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Kayden\"\ne31606,2019/04/25,lunch,fish and chips,Carter\ne31607,2019/04/25,dinner,steak,\ne31612,2019/04/26,breakfast,cereals,\"Avery, Olivia, Claire, Nora, Nevaeh, Piper, Kinsley, Layla, Rylee, Eva, Lydia\"\ne31613,2019/04/26,lunch,chinese food,\ne31614,2019/04/26,dinner,pasta,\ne31620,2019/04/27,breakfast,cereals,\ne31621,2019/04/27,lunch,fish and chips,\ne31622,2019/04/27,dinner,sandwich,\ne31629,2019/04/28,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden\"\ne31630,2019/04/28,lunch,fish and chips,\ne31631,2019/04/28,dinner,pasta,\ne31639,2019/04/29,breakfast,\"eggs, sausages, and bread\",\ne31640,2019/04/29,lunch,sushi,Kayden\ne31641,2019/04/29,dinner,fish and chips,\ne31647,2019/04/30,breakfast,cereals,\ne31648,2019/04/30,lunch,sandwich,\"Claire, Piper, Eva, Nevaeh, Rylee, Hazel, Nora, Kinsley, Piper, Avery, Layla\"\ne31649,2019/04/30,dinner,sushi,\ne31656,2019/05/01,breakfast,peanut-butter-jam,\ne31657,2019/05/01,lunch,pasta,\"Emily, Kayden, Andrew\"\ne31658,2019/05/01,dinner,fish and chips,\"Layla, Kinsley, Avery, Nevaeh, Lydia, Piper, Hazel, Piper, Rylee, Nora, Olivia\"\ne31665,2019/05/02,breakfast,toast and cheese,\"Emily, Kayden, Carter\"\ne31666,2019/05/02,lunch,sushi,\ne31667,2019/05/02,dinner,indian food,\ne31675,2019/05/03,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter\"\ne31676,2019/05/03,lunch,a burger,\ne31677,2019/05/03,dinner,sandwich,\ne31684,2019/05/04,breakfast,\"eggs, sausages, and bread\",\ne31685,2019/05/04,lunch,steak,\ne31686,2019/05/04,dinner,sandwich,\ne31692,2019/05/05,breakfast,oatmeal,\"Kayden, Carter, Emily\"\ne31693,2019/05/05,lunch,chinese food,\ne31694,2019/05/05,dinner,sushi,Andrew\ne31701,2019/05/06,breakfast,pancakes,\ne31702,2019/05/06,lunch,steak,\ne31703,2019/05/06,dinner,tacos,\ne31709,2019/05/07,breakfast,pancakes,\ne31710,2019/05/07,lunch,fish and chips,\ne31711,2019/05/07,dinner,pasta,\ne31718,2019/05/08,breakfast,oatmeal,\"Kayden, Andrew\"\ne31719,2019/05/08,lunch,steak,\"Andrew, Emily, Carter\"\ne31720,2019/05/08,dinner,indian food,\ne31728,2019/05/09,breakfast,oatmeal,\"Carter, Andrew\"\ne31729,2019/05/09,lunch,sushi,Willow\ne31730,2019/05/09,dinner,chinese food,\"Carter, Kayden\"\ne31737,2019/05/10,breakfast,oatmeal,\"Lydia, Layla, Kinsley, Olivia, Nora, Claire\"\ne31738,2019/05/10,lunch,pasta,\ne31739,2019/05/10,dinner,a burger,\ne31746,2019/05/11,breakfast,cereals,\"Andrew, Emily, Kayden\"\ne31747,2019/05/11,lunch,steak,\ne31748,2019/05/11,dinner,steak,\ne31754,2019/05/12,breakfast,\"eggs, sausages, and bread\",\"Avery, Willow\"\ne31755,2019/05/12,lunch,chinese food,\ne31756,2019/05/12,dinner,fish and chips,\ne31762,2019/05/13,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily, Andrew, Kayden\"\ne31763,2019/05/13,lunch,indian food,\"Eva, Lydia, Layla\"\ne31764,2019/05/13,dinner,chinese food,\ne31771,2019/05/14,breakfast,peanut-butter-jam,\ne31772,2019/05/14,lunch,chinese food,\"Willow, Jackson\"\ne31773,2019/05/14,dinner,tacos,\ne31780,2019/05/15,breakfast,oatmeal,\ne31781,2019/05/15,lunch,a burger,\ne31782,2019/05/15,dinner,pasta,\"Andrew, Emily, Kayden, Carter\"\ne31789,2019/05/16,breakfast,\"eggs, sausages, and bread\",\ne31790,2019/05/16,lunch,sushi,\ne31791,2019/05/16,dinner,chinese food,\ne31796,2019/05/17,breakfast,toast and cheese,\"Carter, Andrew, Kayden, Emily\"\ne31797,2019/05/17,lunch,a burger,\ne31798,2019/05/17,dinner,chinese food,\ne31804,2019/05/18,breakfast,toast and cheese,\ne31805,2019/05/18,lunch,fish and chips,\ne31806,2019/05/18,dinner,tacos,\ne31813,2019/05/19,breakfast,toast and cheese,\ne31814,2019/05/19,lunch,a burger,\ne31815,2019/05/19,dinner,indian food,\ne31822,2019/05/20,breakfast,peanut-butter-jam,\ne31823,2019/05/20,lunch,indian food,\ne31824,2019/05/20,dinner,sushi,\ne31831,2019/05/21,breakfast,toast and cheese,\ne31832,2019/05/21,lunch,chinese food,\ne31833,2019/05/21,dinner,tacos,\ne31840,2019/05/22,breakfast,peanut-butter-jam,\"Eva, Claire, Rylee\"\ne31841,2019/05/22,lunch,indian food,\ne31842,2019/05/22,dinner,tacos,\ne31849,2019/05/23,breakfast,toast and cheese,\ne31850,2019/05/23,lunch,sushi,\ne31851,2019/05/23,dinner,indian food,\ne31859,2019/05/24,breakfast,toast and cheese,\ne31860,2019/05/24,lunch,fish and chips,\ne31861,2019/05/24,dinner,pasta,\ne31868,2019/05/25,breakfast,cereals,\ne31869,2019/05/25,lunch,tacos,\ne31870,2019/05/25,dinner,steak,\"Avery, Jackson, Willow, Benjamin\"\ne31877,2019/05/26,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Avery\"\ne31878,2019/05/26,lunch,chinese food,\ne31879,2019/05/26,dinner,indian food,Kayden\ne31886,2019/05/27,breakfast,pancakes,\"Benjamin, Avery, Jackson\"\ne31887,2019/05/27,lunch,chinese food,\ne31888,2019/05/27,dinner,sandwich,\"Emily, Carter, Andrew\"\ne31894,2019/05/28,breakfast,\"eggs, sausages, and bread\",\"Andrew, Carter, Emily, Kayden\"\ne31895,2019/05/28,lunch,a burger,\ne31896,2019/05/28,dinner,sandwich,Andrew\ne31904,2019/05/29,breakfast,peanut-butter-jam,\"Andrew, Carter\"\ne31905,2019/05/29,lunch,chinese food,\ne31906,2019/05/29,dinner,sandwich,\"Emily, Kayden\"\ne31912,2019/05/30,breakfast,oatmeal,\ne31913,2019/05/30,lunch,sandwich,\ne31914,2019/05/30,dinner,tacos,\ne31920,2019/05/31,breakfast,pancakes,\"Avery, Willow, Jackson, Benjamin\"\ne31921,2019/05/31,lunch,sandwich,\ne31922,2019/05/31,dinner,tacos,\ne31929,2019/06/01,breakfast,pancakes,\ne31930,2019/06/01,lunch,sandwich,\ne31931,2019/06/01,dinner,chinese food,\"Jackson, Willow, Avery, Benjamin\"\ne31939,2019/06/02,breakfast,oatmeal,\"Hazel, Nora\"\ne31940,2019/06/02,lunch,a burger,\ne31941,2019/06/02,dinner,indian food,\ne31948,2019/06/03,breakfast,cereals,\ne31949,2019/06/03,lunch,chinese food,\ne31950,2019/06/03,dinner,sandwich,\"Avery, Jackson, Benjamin\"\ne31956,2019/06/04,breakfast,oatmeal,\"Emily, Carter\"\ne31957,2019/06/04,lunch,chinese food,Carter\ne31958,2019/06/04,dinner,sandwich,\ne31964,2019/06/05,breakfast,pancakes,\"Kayden, Carter\"\ne31965,2019/06/05,lunch,chinese food,\ne31966,2019/06/05,dinner,indian food,\ne31973,2019/06/06,breakfast,oatmeal,\ne31974,2019/06/06,lunch,indian food,\"Claire, Piper, Layla, Rylee, Nora, Kinsley, Hazel, Eva\"\ne31975,2019/06/06,dinner,a burger,\ne31981,2019/06/07,breakfast,oatmeal,\"Kayden, Emily, Carter\"\ne31982,2019/06/07,lunch,sandwich,\"Claire, Rylee, Piper, Lydia, Hazel, Kinsley, Eva, Avery, Layla, Nora\"\ne31983,2019/06/07,dinner,sushi,\ne31990,2019/06/08,breakfast,cereals,\"Carter, Kayden\"\ne31991,2019/06/08,lunch,indian food,Kayden\ne31992,2019/06/08,dinner,tacos,\ne31998,2019/06/09,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew, Kayden, Emily\"\ne31999,2019/06/09,lunch,fish and chips,Emily\ne32000,2019/06/09,dinner,tacos,\ne32007,2019/06/10,breakfast,toast and cheese,Carter\ne32008,2019/06/10,lunch,chinese food,\"Carter, Andrew, Emily, Kayden\"\ne32009,2019/06/10,dinner,chinese food,\ne32015,2019/06/11,breakfast,\"eggs, sausages, and bread\",\ne32016,2019/06/11,lunch,sushi,\ne32017,2019/06/11,dinner,fish and chips,\ne32025,2019/06/12,breakfast,\"eggs, sausages, and bread\",Kayden\ne32026,2019/06/12,lunch,sandwich,\"Piper, Avery\"\ne32027,2019/06/12,dinner,indian food,\ne32033,2019/06/13,breakfast,peanut-butter-jam,\ne32034,2019/06/13,lunch,fish and chips,\"Eva, Olivia\"\ne32035,2019/06/13,dinner,pasta,\ne32043,2019/06/14,breakfast,toast and cheese,\ne32044,2019/06/14,lunch,indian food,\"Avery, Benjamin, Jackson\"\ne32045,2019/06/14,dinner,sushi,\ne32050,2019/06/15,breakfast,cereals,\"Willow, Jackson\"\ne32051,2019/06/15,lunch,fish and chips,\ne32052,2019/06/15,dinner,sandwich,\"Kayden, Emily, Andrew\"\ne32059,2019/06/16,breakfast,toast and cheese,\ne32060,2019/06/16,lunch,pasta,Andrew\ne32061,2019/06/16,dinner,pasta,\"Piper, Nora\"\ne32067,2019/06/17,breakfast,oatmeal,Kayden\ne32068,2019/06/17,lunch,indian food,\"Carter, Kayden, Emily\"\ne32069,2019/06/17,dinner,steak,\ne32077,2019/06/18,breakfast,cereals,Emily\ne32078,2019/06/18,lunch,pasta,\ne32079,2019/06/18,dinner,tacos,\"Emily, Carter, Andrew, Kayden\"\ne32084,2019/06/19,breakfast,oatmeal,\"Jackson, Benjamin, Willow\"\ne32085,2019/06/19,lunch,tacos,\ne32086,2019/06/19,dinner,chinese food,\"Eva, Piper, Olivia, Rylee, Piper, Nora\"\ne32092,2019/06/20,breakfast,cereals,\ne32093,2019/06/20,lunch,indian food,\"Layla, Nora, Kinsley, Rylee, Piper, Hazel\"\ne32094,2019/06/20,dinner,sushi,\"Emily, Kayden, Carter, Andrew\"\ne32101,2019/06/21,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Willow, Jackson, Avery\"\ne32102,2019/06/21,lunch,sushi,\ne32103,2019/06/21,dinner,fish and chips,\"Carter, Emily, Kayden, Andrew\"\ne32110,2019/06/22,breakfast,toast and cheese,\"Avery, Kinsley, Rylee\"\ne32111,2019/06/22,lunch,fish and chips,\"Layla, Kinsley, Nora, Rylee, Nevaeh, Hazel, Lydia, Piper, Claire, Eva, Piper, Avery\"\ne32112,2019/06/22,dinner,steak,\ne32120,2019/06/23,breakfast,pancakes,\"Kayden, Carter\"\ne32121,2019/06/23,lunch,pasta,\ne32122,2019/06/23,dinner,sushi,\"Kayden, Andrew, Carter, Emily\"\ne32128,2019/06/24,breakfast,pancakes,\"Kayden, Andrew, Emily\"\ne32129,2019/06/24,lunch,sandwich,\ne32130,2019/06/24,dinner,indian food,\ne32137,2019/06/25,breakfast,cereals,\ne32138,2019/06/25,lunch,chinese food,\"Carter, Andrew\"\ne32139,2019/06/25,dinner,indian food,\ne32145,2019/06/26,breakfast,toast and cheese,\"Lydia, Layla, Rylee, Avery, Nevaeh, Eva, Nora, Olivia, Claire, Piper, Piper, Kinsley\"\ne32146,2019/06/26,lunch,sandwich,\ne32147,2019/06/26,dinner,chinese food,\ne32152,2019/06/27,breakfast,\"eggs, sausages, and bread\",\ne32153,2019/06/27,lunch,fish and chips,\ne32154,2019/06/27,dinner,pasta,\ne32161,2019/06/28,breakfast,toast and cheese,\"Avery, Benjamin\"\ne32162,2019/06/28,lunch,chinese food,\"Piper, Lydia, Avery, Rylee, Hazel, Layla, Piper, Claire\"\ne32163,2019/06/28,dinner,a burger,Benjamin\ne32169,2019/06/29,breakfast,pancakes,\ne32170,2019/06/29,lunch,sandwich,\ne32171,2019/06/29,dinner,indian food,\"Rylee, Hazel, Kinsley, Layla, Claire, Piper, Nora, Piper, Eva\"\ne32177,2019/06/30,breakfast,pancakes,\"Olivia, Avery, Piper, Claire, Layla, Kinsley\"\ne32178,2019/06/30,lunch,sushi,\ne32179,2019/06/30,dinner,steak,\ne32185,2019/07/01,breakfast,oatmeal,Willow\ne32186,2019/07/01,lunch,tacos,\"Carter, Emily\"\ne32187,2019/07/01,dinner,indian food,\ne32194,2019/07/02,breakfast,pancakes,\ne32195,2019/07/02,lunch,sushi,\ne32196,2019/07/02,dinner,chinese food,\"Nevaeh, Avery, Olivia, Piper, Lydia, Piper\"\ne32203,2019/07/03,breakfast,pancakes,\ne32204,2019/07/03,lunch,fish and chips,\ne32205,2019/07/03,dinner,tacos,\ne32211,2019/07/04,breakfast,cereals,\ne32212,2019/07/04,lunch,tacos,\ne32213,2019/07/04,dinner,a burger,\ne32219,2019/07/05,breakfast,cereals,\"Andrew, Carter, Kayden, Emily\"\ne32220,2019/07/05,lunch,chinese food,\"Emily, Kayden, Carter\"\ne32221,2019/07/05,dinner,a burger,\"Andrew, Emily\"\ne32228,2019/07/06,breakfast,pancakes,\ne32229,2019/07/06,lunch,sushi,\ne32230,2019/07/06,dinner,sandwich,\"Jackson, Avery, Willow, Benjamin\"\ne32238,2019/07/07,breakfast,oatmeal,\ne32239,2019/07/07,lunch,a burger,\ne32240,2019/07/07,dinner,steak,\"Carter, Emily, Andrew\"\ne32247,2019/07/08,breakfast,peanut-butter-jam,\"Emily, Carter, Kayden, Andrew\"\ne32248,2019/07/08,lunch,sushi,\ne32249,2019/07/08,dinner,sandwich,\ne32256,2019/07/09,breakfast,oatmeal,\ne32257,2019/07/09,lunch,pasta,\"Carter, Andrew\"\ne32258,2019/07/09,dinner,tacos,\"Andrew, Carter\"\ne32264,2019/07/10,breakfast,peanut-butter-jam,\ne32265,2019/07/10,lunch,sandwich,\ne32266,2019/07/10,dinner,chinese food,\ne32272,2019/07/11,breakfast,peanut-butter-jam,\ne32273,2019/07/11,lunch,a burger,\"Kayden, Andrew, Emily, Carter\"\ne32274,2019/07/11,dinner,pasta,\ne32279,2019/07/12,breakfast,oatmeal,Emily\ne32280,2019/07/12,lunch,pasta,\"Carter, Kayden, Emily\"\ne32281,2019/07/12,dinner,a burger,\ne32288,2019/07/13,breakfast,pancakes,\"Nevaeh, Layla, Nora, Piper, Piper, Hazel, Avery\"\ne32289,2019/07/13,lunch,sandwich,\"Olivia, Layla, Rylee, Hazel\"\ne32290,2019/07/13,dinner,chinese food,\ne32297,2019/07/14,breakfast,\"eggs, sausages, and bread\",\ne32298,2019/07/14,lunch,a burger,\ne32299,2019/07/14,dinner,steak,\"Piper, Nora, Avery, Rylee, Olivia, Piper, Nevaeh, Kinsley, Claire, Layla, Hazel, Lydia, Eva\"\ne32306,2019/07/15,breakfast,pancakes,\ne32307,2019/07/15,lunch,a burger,\ne32308,2019/07/15,dinner,sushi,\"Kayden, Emily, Carter, Andrew\"\ne32314,2019/07/16,breakfast,peanut-butter-jam,\ne32315,2019/07/16,lunch,indian food,\ne32316,2019/07/16,dinner,indian food,\ne32321,2019/07/17,breakfast,oatmeal,\ne32322,2019/07/17,lunch,chinese food,\ne32323,2019/07/17,dinner,tacos,\ne32329,2019/07/18,breakfast,pancakes,\ne32330,2019/07/18,lunch,pasta,\ne32331,2019/07/18,dinner,pasta,\ne32337,2019/07/19,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter\"\ne32338,2019/07/19,lunch,tacos,Kayden\ne32339,2019/07/19,dinner,indian food,\ne32344,2019/07/20,breakfast,cereals,\"Andrew, Emily\"\ne32345,2019/07/20,lunch,steak,Willow\ne32346,2019/07/20,dinner,tacos,\"Carter, Kayden, Emily\"\ne32353,2019/07/21,breakfast,oatmeal,Carter\ne32354,2019/07/21,lunch,sushi,\ne32355,2019/07/21,dinner,sushi,\ne32360,2019/07/22,breakfast,pancakes,\ne32361,2019/07/22,lunch,a burger,\ne32362,2019/07/22,dinner,pasta,\ne32369,2019/07/23,breakfast,cereals,\ne32370,2019/07/23,lunch,a burger,\ne32371,2019/07/23,dinner,sandwich,Andrew\ne32378,2019/07/24,breakfast,\"eggs, sausages, and bread\",\"Andrew, Carter, Emily, Kayden\"\ne32379,2019/07/24,lunch,chinese food,\ne32380,2019/07/24,dinner,steak,\ne32387,2019/07/25,breakfast,oatmeal,\ne32388,2019/07/25,lunch,a burger,\"Emily, Andrew, Kayden\"\ne32389,2019/07/25,dinner,pasta,\ne32397,2019/07/26,breakfast,peanut-butter-jam,\ne32398,2019/07/26,lunch,a burger,\ne32399,2019/07/26,dinner,tacos,\ne32406,2019/07/27,breakfast,\"eggs, sausages, and bread\",\ne32407,2019/07/27,lunch,steak,\ne32408,2019/07/27,dinner,indian food,\ne32415,2019/07/28,breakfast,oatmeal,\"Benjamin, Jackson, Willow\"\ne32416,2019/07/28,lunch,indian food,\"Emily, Carter, Andrew, Kayden\"\ne32417,2019/07/28,dinner,steak,\ne32422,2019/07/29,breakfast,peanut-butter-jam,\ne32423,2019/07/29,lunch,indian food,\"Nevaeh, Avery, Olivia, Piper, Hazel, Layla, Piper, Eva, Kinsley, Claire, Lydia\"\ne32424,2019/07/29,dinner,a burger,\"Kinsley, Layla, Claire, Nora, Rylee, Nevaeh, Olivia, Piper, Hazel, Avery\"\ne32429,2019/07/30,breakfast,\"eggs, sausages, and bread\",\ne32430,2019/07/30,lunch,a burger,\"Piper, Nevaeh, Hazel, Olivia, Avery, Rylee, Nora, Kinsley\"\ne32431,2019/07/30,dinner,sushi,\"Jackson, Benjamin, Avery\"\ne32438,2019/07/31,breakfast,cereals,\"Benjamin, Willow\"\ne32439,2019/07/31,lunch,sushi,\ne32440,2019/07/31,dinner,indian food,Carter\ne32448,2019/08/01,breakfast,oatmeal,\"Kayden, Emily, Andrew, Carter\"\ne32449,2019/08/01,lunch,a burger,\"Rylee, Kinsley, Nevaeh, Layla, Hazel, Lydia, Piper, Avery, Eva, Claire, Nora, Piper, Olivia\"\ne32450,2019/08/01,dinner,sushi,\ne32455,2019/08/02,breakfast,pancakes,\ne32456,2019/08/02,lunch,fish and chips,\ne32457,2019/08/02,dinner,tacos,\ne32464,2019/08/03,breakfast,toast and cheese,\ne32465,2019/08/03,lunch,sandwich,\"Carter, Emily, Kayden, Andrew\"\ne32466,2019/08/03,dinner,pasta,\ne32472,2019/08/04,breakfast,cereals,\ne32473,2019/08/04,lunch,indian food,\ne32474,2019/08/04,dinner,tacos,\"Nevaeh, Avery, Nora, Claire, Kinsley, Olivia, Hazel\"\ne32479,2019/08/05,breakfast,toast and cheese,\ne32480,2019/08/05,lunch,pasta,\ne32481,2019/08/05,dinner,indian food,\"Emily, Andrew\"\ne32487,2019/08/06,breakfast,toast and cheese,\ne32488,2019/08/06,lunch,indian food,\ne32489,2019/08/06,dinner,steak,Carter\ne32495,2019/08/07,breakfast,pancakes,\ne32496,2019/08/07,lunch,tacos,\ne32497,2019/08/07,dinner,chinese food,\"Carter, Andrew\"\ne32503,2019/08/08,breakfast,peanut-butter-jam,\ne32504,2019/08/08,lunch,sushi,\ne32505,2019/08/08,dinner,indian food,\ne32512,2019/08/09,breakfast,\"eggs, sausages, and bread\",\ne32513,2019/08/09,lunch,pasta,\"Rylee, Lydia, Piper, Avery\"\ne32514,2019/08/09,dinner,tacos,\ne32521,2019/08/10,breakfast,cereals,\ne32522,2019/08/10,lunch,steak,\"Willow, Benjamin, Avery, Jackson\"\ne32523,2019/08/10,dinner,indian food,\"Carter, Kayden\"\ne32530,2019/08/11,breakfast,toast and cheese,\ne32531,2019/08/11,lunch,chinese food,\"Emily, Carter, Andrew, Kayden\"\ne32532,2019/08/11,dinner,steak,\"Hazel, Claire\"\ne32540,2019/08/12,breakfast,peanut-butter-jam,\ne32541,2019/08/12,lunch,fish and chips,\ne32542,2019/08/12,dinner,tacos,\"Emily, Carter, Kayden, Andrew\"\ne32550,2019/08/13,breakfast,cereals,\ne32551,2019/08/13,lunch,a burger,\ne32552,2019/08/13,dinner,fish and chips,\"Lydia, Olivia, Hazel, Rylee, Eva, Layla, Kinsley\"\ne32557,2019/08/14,breakfast,peanut-butter-jam,\ne32558,2019/08/14,lunch,chinese food,Avery\ne32559,2019/08/14,dinner,indian food,\"Emily, Andrew, Kayden\"\ne32566,2019/08/15,breakfast,pancakes,\ne32567,2019/08/15,lunch,tacos,\ne32568,2019/08/15,dinner,pasta,\ne32573,2019/08/16,breakfast,\"eggs, sausages, and bread\",\ne32574,2019/08/16,lunch,pasta,\"Carter, Emily\"\ne32575,2019/08/16,dinner,indian food,\"Carter, Emily, Andrew\"\ne32583,2019/08/17,breakfast,\"eggs, sausages, and bread\",\"Willow, Benjamin, Jackson\"\ne32584,2019/08/17,lunch,tacos,\ne32585,2019/08/17,dinner,steak,\"Emily, Andrew, Carter, Kayden\"\ne32593,2019/08/18,breakfast,peanut-butter-jam,\ne32594,2019/08/18,lunch,chinese food,\ne32595,2019/08/18,dinner,fish and chips,\"Kayden, Emily, Carter, Andrew\"\ne32602,2019/08/19,breakfast,toast and cheese,\ne32603,2019/08/19,lunch,pasta,\"Kayden, Emily\"\ne32604,2019/08/19,dinner,indian food,\"Avery, Willow, Jackson, Benjamin\"\ne32612,2019/08/20,breakfast,\"eggs, sausages, and bread\",\ne32613,2019/08/20,lunch,chinese food,\ne32614,2019/08/20,dinner,steak,\ne32620,2019/08/21,breakfast,oatmeal,\ne32621,2019/08/21,lunch,indian food,\ne32622,2019/08/21,dinner,a burger,\"Kayden, Emily, Andrew\"\ne32629,2019/08/22,breakfast,toast and cheese,\ne32630,2019/08/22,lunch,fish and chips,\ne32631,2019/08/22,dinner,fish and chips,\"Avery, Benjamin\"\ne32636,2019/08/23,breakfast,pancakes,\ne32637,2019/08/23,lunch,indian food,\ne32638,2019/08/23,dinner,chinese food,\ne32645,2019/08/24,breakfast,peanut-butter-jam,\"Layla, Kinsley, Piper, Olivia, Rylee, Piper, Nora, Lydia, Eva, Hazel\"\ne32646,2019/08/24,lunch,pasta,\ne32647,2019/08/24,dinner,sushi,\ne32652,2019/08/25,breakfast,pancakes,Andrew\ne32653,2019/08/25,lunch,indian food,\ne32654,2019/08/25,dinner,sandwich,\ne32661,2019/08/26,breakfast,peanut-butter-jam,\"Andrew, Carter, Kayden\"\ne32662,2019/08/26,lunch,fish and chips,\ne32663,2019/08/26,dinner,a burger,\ne32671,2019/08/27,breakfast,oatmeal,\ne32672,2019/08/27,lunch,indian food,\"Avery, Willow\"\ne32673,2019/08/27,dinner,sushi,\ne32679,2019/08/28,breakfast,cereals,\ne32680,2019/08/28,lunch,sandwich,\ne32681,2019/08/28,dinner,sandwich,\ne32688,2019/08/29,breakfast,pancakes,\"Nora, Claire, Piper, Kinsley, Layla, Olivia, Rylee, Hazel, Nevaeh, Eva\"\ne32689,2019/08/29,lunch,fish and chips,\"Hazel, Nevaeh, Piper, Piper, Kinsley\"\ne32690,2019/08/29,dinner,chinese food,\"Avery, Piper, Eva, Rylee\"\ne32696,2019/08/30,breakfast,peanut-butter-jam,\ne32697,2019/08/30,lunch,sandwich,\ne32698,2019/08/30,dinner,sandwich,\ne32704,2019/08/31,breakfast,peanut-butter-jam,\ne32705,2019/08/31,lunch,sushi,\ne32706,2019/08/31,dinner,a burger,\"Emily, Kayden, Andrew, Carter\"\ne32714,2019/09/01,breakfast,cereals,Willow\ne32715,2019/09/01,lunch,pasta,\ne32716,2019/09/01,dinner,pasta,\ne32723,2019/09/02,breakfast,peanut-butter-jam,\ne32724,2019/09/02,lunch,fish and chips,\ne32725,2019/09/02,dinner,tacos,\ne32733,2019/09/03,breakfast,cereals,\ne32734,2019/09/03,lunch,pasta,\"Rylee, Eva, Claire, Avery, Nora, Hazel, Kinsley, Lydia, Nevaeh, Olivia, Piper, Layla\"\ne32735,2019/09/03,dinner,tacos,Nora\ne32741,2019/09/04,breakfast,cereals,\ne32742,2019/09/04,lunch,fish and chips,\ne32743,2019/09/04,dinner,tacos,\"Andrew, Kayden, Emily\"\ne32750,2019/09/05,breakfast,pancakes,\ne32751,2019/09/05,lunch,fish and chips,\"Kayden, Carter\"\ne32752,2019/09/05,dinner,a burger,\ne32758,2019/09/06,breakfast,pancakes,\ne32759,2019/09/06,lunch,sandwich,\ne32760,2019/09/06,dinner,sandwich,\ne32767,2019/09/07,breakfast,\"eggs, sausages, and bread\",\ne32768,2019/09/07,lunch,a burger,\ne32769,2019/09/07,dinner,chinese food,\"Benjamin, Jackson, Willow, Avery\"\ne32775,2019/09/08,breakfast,pancakes,\ne32776,2019/09/08,lunch,steak,\"Kayden, Andrew\"\ne32777,2019/09/08,dinner,tacos,\ne32783,2019/09/09,breakfast,toast and cheese,\ne32784,2019/09/09,lunch,a burger,\ne32785,2019/09/09,dinner,pasta,\ne32793,2019/09/10,breakfast,\"eggs, sausages, and bread\",\ne32794,2019/09/10,lunch,sandwich,\ne32795,2019/09/10,dinner,fish and chips,\ne32802,2019/09/11,breakfast,peanut-butter-jam,Avery\ne32803,2019/09/11,lunch,pasta,\"Carter, Kayden\"\ne32804,2019/09/11,dinner,tacos,Emily\ne32812,2019/09/12,breakfast,cereals,\ne32813,2019/09/12,lunch,tacos,Andrew\ne32814,2019/09/12,dinner,a burger,\"Lydia, Layla, Piper, Nevaeh, Olivia, Nora, Eva, Piper, Hazel\"\ne32821,2019/09/13,breakfast,toast and cheese,\"Emily, Carter, Kayden\"\ne32822,2019/09/13,lunch,chinese food,\"Kayden, Emily, Carter, Andrew\"\ne32823,2019/09/13,dinner,fish and chips,\ne32831,2019/09/14,breakfast,oatmeal,\ne32832,2019/09/14,lunch,a burger,\ne32833,2019/09/14,dinner,fish and chips,\"Willow, Jackson, Benjamin\"\ne32841,2019/09/15,breakfast,\"eggs, sausages, and bread\",\ne32842,2019/09/15,lunch,sushi,\"Nevaeh, Kinsley, Piper, Nora, Rylee, Piper, Claire, Eva, Lydia, Layla, Olivia, Avery\"\ne32843,2019/09/15,dinner,indian food,\"Rylee, Kinsley, Piper, Lydia\"\ne32851,2019/09/16,breakfast,pancakes,\ne32852,2019/09/16,lunch,chinese food,\"Willow, Benjamin\"\ne32853,2019/09/16,dinner,chinese food,\ne32859,2019/09/17,breakfast,cereals,\ne32860,2019/09/17,lunch,sushi,\ne32861,2019/09/17,dinner,sushi,\ne32868,2019/09/18,breakfast,peanut-butter-jam,\"Avery, Benjamin\"\ne32869,2019/09/18,lunch,tacos,Willow\ne32870,2019/09/18,dinner,sushi,\"Claire, Piper, Rylee, Eva, Lydia\"\ne32878,2019/09/19,breakfast,\"eggs, sausages, and bread\",\ne32879,2019/09/19,lunch,chinese food,\ne32880,2019/09/19,dinner,fish and chips,\"Lydia, Olivia, Rylee, Nora, Eva, Claire, Layla, Hazel, Avery, Kinsley, Piper, Nevaeh\"\ne32887,2019/09/20,breakfast,peanut-butter-jam,\"Olivia, Kinsley, Avery, Lydia, Nevaeh, Rylee, Layla\"\ne32888,2019/09/20,lunch,fish and chips,\ne32889,2019/09/20,dinner,a burger,\ne32896,2019/09/21,breakfast,\"eggs, sausages, and bread\",\ne32897,2019/09/21,lunch,sushi,\ne32898,2019/09/21,dinner,tacos,\"Carter, Emily, Andrew\"\ne32906,2019/09/22,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden\"\ne32907,2019/09/22,lunch,chinese food,\ne32908,2019/09/22,dinner,fish and chips,\"Eva, Nora, Lydia, Nevaeh, Piper, Olivia, Piper\"\ne32914,2019/09/23,breakfast,oatmeal,\"Eva, Avery, Piper\"\ne32915,2019/09/23,lunch,tacos,\"Hazel, Avery, Nevaeh, Olivia, Eva, Piper\"\ne32916,2019/09/23,dinner,sushi,\ne32923,2019/09/24,breakfast,cereals,\ne32924,2019/09/24,lunch,chinese food,\ne32925,2019/09/24,dinner,sandwich,\ne32932,2019/09/25,breakfast,pancakes,\ne32933,2019/09/25,lunch,pasta,\ne32934,2019/09/25,dinner,chinese food,\ne32941,2019/09/26,breakfast,\"eggs, sausages, and bread\",\"Nevaeh, Layla, Nora, Hazel, Eva, Kinsley, Avery\"\ne32942,2019/09/26,lunch,fish and chips,\ne32943,2019/09/26,dinner,sushi,\ne32951,2019/09/27,breakfast,pancakes,\"Kayden, Carter, Emily\"\ne32952,2019/09/27,lunch,chinese food,Emily\ne32953,2019/09/27,dinner,steak,Andrew\ne32960,2019/09/28,breakfast,pancakes,\ne32961,2019/09/28,lunch,fish and chips,\ne32962,2019/09/28,dinner,pasta,\ne32969,2019/09/29,breakfast,cereals,\ne32970,2019/09/29,lunch,fish and chips,\ne32971,2019/09/29,dinner,pasta,\ne32977,2019/09/30,breakfast,pancakes,\ne32978,2019/09/30,lunch,chinese food,Jackson\ne32979,2019/09/30,dinner,steak,\ne32986,2019/10/01,breakfast,peanut-butter-jam,\"Andrew, Carter, Kayden, Emily\"\ne32987,2019/10/01,lunch,sandwich,\ne32988,2019/10/01,dinner,steak,\ne32996,2019/10/02,breakfast,peanut-butter-jam,\"Benjamin, Willow, Avery, Jackson\"\ne32997,2019/10/02,lunch,a burger,\ne32998,2019/10/02,dinner,a burger,Carter\ne33005,2019/10/03,breakfast,peanut-butter-jam,\"Rylee, Piper, Olivia, Nevaeh, Avery, Layla, Nora, Claire\"\ne33006,2019/10/03,lunch,fish and chips,\ne33007,2019/10/03,dinner,pasta,\"Nora, Olivia, Avery, Layla, Eva, Nevaeh, Kinsley, Hazel, Piper, Claire, Piper\"\ne33015,2019/10/04,breakfast,peanut-butter-jam,\"Andrew, Kayden, Emily\"\ne33016,2019/10/04,lunch,pasta,\ne33017,2019/10/04,dinner,indian food,\ne33024,2019/10/05,breakfast,\"eggs, sausages, and bread\",\ne33025,2019/10/05,lunch,steak,\ne33026,2019/10/05,dinner,pasta,\"Kayden, Carter\"\ne33033,2019/10/06,breakfast,pancakes,\ne33034,2019/10/06,lunch,fish and chips,\"Kayden, Carter, Andrew, Emily\"\ne33035,2019/10/06,dinner,indian food,\ne33041,2019/10/07,breakfast,cereals,\"Avery, Benjamin\"\ne33042,2019/10/07,lunch,pasta,\ne33043,2019/10/07,dinner,fish and chips,\ne33050,2019/10/08,breakfast,\"eggs, sausages, and bread\",\ne33051,2019/10/08,lunch,chinese food,\"Avery, Eva, Nora, Lydia\"\ne33052,2019/10/08,dinner,sandwich,\ne33059,2019/10/09,breakfast,toast and cheese,\ne33060,2019/10/09,lunch,chinese food,\"Carter, Andrew\"\ne33061,2019/10/09,dinner,steak,\ne33068,2019/10/10,breakfast,oatmeal,\"Willow, Benjamin\"\ne33069,2019/10/10,lunch,a burger,\ne33070,2019/10/10,dinner,tacos,\ne33075,2019/10/11,breakfast,peanut-butter-jam,\ne33076,2019/10/11,lunch,tacos,\ne33077,2019/10/11,dinner,pasta,\ne33084,2019/10/12,breakfast,peanut-butter-jam,\ne33085,2019/10/12,lunch,indian food,\"Carter, Emily, Andrew\"\ne33086,2019/10/12,dinner,pasta,\ne33094,2019/10/13,breakfast,cereals,\ne33095,2019/10/13,lunch,sushi,\ne33096,2019/10/13,dinner,sandwich,\"Jackson, Willow, Benjamin\"\ne33101,2019/10/14,breakfast,cereals,\ne33102,2019/10/14,lunch,sushi,\ne33103,2019/10/14,dinner,pasta,\ne33110,2019/10/15,breakfast,pancakes,\ne33111,2019/10/15,lunch,a burger,\"Rylee, Hazel, Eva, Piper, Lydia, Piper, Claire, Layla, Nora, Avery, Kinsley, Nevaeh, Olivia\"\ne33112,2019/10/15,dinner,tacos,Andrew\ne33119,2019/10/16,breakfast,peanut-butter-jam,\"Kayden, Emily\"\ne33120,2019/10/16,lunch,sandwich,\"Avery, Kinsley, Piper, Hazel\"\ne33121,2019/10/16,dinner,chinese food,\ne33126,2019/10/17,breakfast,toast and cheese,\ne33127,2019/10/17,lunch,chinese food,\"Benjamin, Avery\"\ne33128,2019/10/17,dinner,fish and chips,\ne33134,2019/10/18,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter, Andrew, Emily\"\ne33135,2019/10/18,lunch,pasta,Emily\ne33136,2019/10/18,dinner,tacos,\ne33143,2019/10/19,breakfast,\"eggs, sausages, and bread\",\ne33144,2019/10/19,lunch,tacos,\"Emily, Kayden, Carter\"\ne33145,2019/10/19,dinner,steak,\"Avery, Willow, Benjamin, Jackson\"\ne33153,2019/10/20,breakfast,peanut-butter-jam,\ne33154,2019/10/20,lunch,indian food,\ne33155,2019/10/20,dinner,chinese food,Emily\ne33162,2019/10/21,breakfast,oatmeal,\ne33163,2019/10/21,lunch,steak,\"Nevaeh, Claire, Layla, Lydia, Piper, Nora, Olivia, Hazel, Piper, Avery, Eva\"\ne33164,2019/10/21,dinner,a burger,\ne33170,2019/10/22,breakfast,peanut-butter-jam,\ne33171,2019/10/22,lunch,chinese food,Emily\ne33172,2019/10/22,dinner,steak,\ne33178,2019/10/23,breakfast,pancakes,\"Kayden, Carter, Emily, Andrew\"\ne33179,2019/10/23,lunch,indian food,\"Rylee, Lydia, Avery, Claire, Nevaeh\"\ne33180,2019/10/23,dinner,steak,\ne33186,2019/10/24,breakfast,peanut-butter-jam,\"Benjamin, Jackson, Avery, Willow\"\ne33187,2019/10/24,lunch,a burger,\ne33188,2019/10/24,dinner,pasta,\ne33195,2019/10/25,breakfast,toast and cheese,\ne33196,2019/10/25,lunch,tacos,\"Carter, Kayden, Emily, Andrew\"\ne33197,2019/10/25,dinner,chinese food,\"Willow, Jackson\"\ne33203,2019/10/26,breakfast,cereals,\ne33204,2019/10/26,lunch,sushi,\"Emily, Andrew, Kayden, Carter\"\ne33205,2019/10/26,dinner,a burger,\"Andrew, Kayden\"\ne33212,2019/10/27,breakfast,cereals,\ne33213,2019/10/27,lunch,chinese food,\ne33214,2019/10/27,dinner,indian food,\"Emily, Carter, Andrew\"\ne33222,2019/10/28,breakfast,\"eggs, sausages, and bread\",\ne33223,2019/10/28,lunch,indian food,\ne33224,2019/10/28,dinner,sandwich,\"Andrew, Kayden, Emily, Carter\"\ne33231,2019/10/29,breakfast,\"eggs, sausages, and bread\",\ne33232,2019/10/29,lunch,fish and chips,\ne33233,2019/10/29,dinner,indian food,\ne33239,2019/10/30,breakfast,toast and cheese,\"Olivia, Nora\"\ne33240,2019/10/30,lunch,a burger,\ne33241,2019/10/30,dinner,steak,\"Emily, Andrew, Carter\"\ne33248,2019/10/31,breakfast,\"eggs, sausages, and bread\",Olivia\ne33249,2019/10/31,lunch,steak,\ne33250,2019/10/31,dinner,sushi,\"Andrew, Emily, Carter\"\ne33257,2019/11/01,breakfast,oatmeal,Kayden\ne33258,2019/11/01,lunch,chinese food,\ne33259,2019/11/01,dinner,chinese food,\ne33266,2019/11/02,breakfast,oatmeal,\ne33267,2019/11/02,lunch,tacos,Benjamin\ne33268,2019/11/02,dinner,sushi,\"Layla, Piper, Lydia, Nevaeh\"\ne33275,2019/11/03,breakfast,toast and cheese,\ne33276,2019/11/03,lunch,sushi,\"Olivia, Layla, Avery, Piper, Rylee, Claire, Eva, Lydia, Nevaeh\"\ne33277,2019/11/03,dinner,sushi,\ne33284,2019/11/04,breakfast,peanut-butter-jam,\"Andrew, Kayden, Emily\"\ne33285,2019/11/04,lunch,sandwich,\ne33286,2019/11/04,dinner,pasta,\"Nora, Eva, Piper, Layla, Hazel, Nevaeh, Piper, Kinsley, Olivia, Avery\"\ne33293,2019/11/05,breakfast,peanut-butter-jam,\"Emily, Andrew, Kayden\"\ne33294,2019/11/05,lunch,tacos,\ne33295,2019/11/05,dinner,pasta,\"Willow, Jackson, Avery, Benjamin\"\ne33301,2019/11/06,breakfast,\"eggs, sausages, and bread\",\ne33302,2019/11/06,lunch,fish and chips,\ne33303,2019/11/06,dinner,steak,\ne33309,2019/11/07,breakfast,pancakes,\ne33310,2019/11/07,lunch,a burger,\ne33311,2019/11/07,dinner,fish and chips,\ne33319,2019/11/08,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Avery\"\ne33320,2019/11/08,lunch,indian food,\"Avery, Willow, Jackson, Benjamin\"\ne33321,2019/11/08,dinner,indian food,\"Piper, Eva, Rylee, Avery, Claire, Nevaeh, Kinsley, Layla, Olivia, Lydia, Piper\"\ne33328,2019/11/09,breakfast,toast and cheese,\ne33329,2019/11/09,lunch,tacos,\"Kayden, Carter, Emily, Andrew\"\ne33330,2019/11/09,dinner,a burger,Emily\ne33337,2019/11/10,breakfast,peanut-butter-jam,\ne33338,2019/11/10,lunch,sushi,\ne33339,2019/11/10,dinner,chinese food,\"Piper, Lydia, Olivia, Nora, Hazel, Avery, Piper, Rylee, Claire, Layla, Kinsley\"\ne33345,2019/11/11,breakfast,pancakes,\ne33346,2019/11/11,lunch,chinese food,\"Avery, Jackson\"\ne33347,2019/11/11,dinner,sandwich,\ne33354,2019/11/12,breakfast,peanut-butter-jam,\"Kinsley, Eva, Layla, Piper, Olivia, Nevaeh, Avery, Rylee, Piper, Nora\"\ne33355,2019/11/12,lunch,steak,\"Carter, Andrew\"\ne33356,2019/11/12,dinner,steak,\ne33362,2019/11/13,breakfast,\"eggs, sausages, and bread\",\"Avery, Jackson, Benjamin\"\ne33363,2019/11/13,lunch,sandwich,\ne33364,2019/11/13,dinner,sandwich,\ne33372,2019/11/14,breakfast,\"eggs, sausages, and bread\",\"Piper, Nevaeh, Nora, Avery\"\ne33373,2019/11/14,lunch,a burger,\ne33374,2019/11/14,dinner,sushi,\ne33381,2019/11/15,breakfast,\"eggs, sausages, and bread\",\ne33382,2019/11/15,lunch,chinese food,\"Willow, Benjamin, Avery\"\ne33383,2019/11/15,dinner,pasta,\"Carter, Emily\"\ne33389,2019/11/16,breakfast,pancakes,\ne33390,2019/11/16,lunch,tacos,\"Layla, Piper, Avery, Eva, Hazel, Rylee\"\ne33391,2019/11/16,dinner,chinese food,\"Willow, Avery, Benjamin, Jackson\"\ne33398,2019/11/17,breakfast,oatmeal,\"Nevaeh, Rylee, Piper, Hazel, Piper\"\ne33399,2019/11/17,lunch,chinese food,\ne33400,2019/11/17,dinner,sandwich,\"Kayden, Carter\"\ne33407,2019/11/18,breakfast,cereals,\ne33408,2019/11/18,lunch,indian food,\"Kayden, Emily\"\ne33409,2019/11/18,dinner,a burger,\"Emily, Andrew\"\ne33417,2019/11/19,breakfast,toast and cheese,\"Jackson, Willow, Avery, Benjamin\"\ne33418,2019/11/19,lunch,sandwich,\ne33419,2019/11/19,dinner,chinese food,\ne33426,2019/11/20,breakfast,\"eggs, sausages, and bread\",Willow\ne33427,2019/11/20,lunch,sushi,\ne33428,2019/11/20,dinner,fish and chips,\ne33435,2019/11/21,breakfast,toast and cheese,\ne33436,2019/11/21,lunch,chinese food,\"Nevaeh, Layla, Hazel, Piper, Piper, Olivia, Rylee, Claire, Avery, Kinsley, Lydia\"\ne33437,2019/11/21,dinner,fish and chips,Emily\ne33443,2019/11/22,breakfast,pancakes,\ne33444,2019/11/22,lunch,fish and chips,\"Avery, Nora, Nevaeh, Olivia, Kinsley, Eva, Hazel, Piper, Lydia\"\ne33445,2019/11/22,dinner,pasta,\ne33450,2019/11/23,breakfast,cereals,\ne33451,2019/11/23,lunch,pasta,\ne33452,2019/11/23,dinner,steak,\ne33457,2019/11/24,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew, Kayden, Emily\"\ne33458,2019/11/24,lunch,pasta,\"Emily, Carter, Kayden, Andrew\"\ne33459,2019/11/24,dinner,pasta,\ne33464,2019/11/25,breakfast,\"eggs, sausages, and bread\",\ne33465,2019/11/25,lunch,tacos,\"Avery, Jackson\"\ne33466,2019/11/25,dinner,chinese food,\ne33474,2019/11/26,breakfast,\"eggs, sausages, and bread\",\ne33475,2019/11/26,lunch,chinese food,\ne33476,2019/11/26,dinner,sushi,\ne33482,2019/11/27,breakfast,oatmeal,\ne33483,2019/11/27,lunch,sandwich,\"Hazel, Rylee, Olivia, Nora, Eva, Lydia, Nevaeh\"\ne33484,2019/11/27,dinner,steak,\ne33490,2019/11/28,breakfast,toast and cheese,\"Carter, Emily\"\ne33491,2019/11/28,lunch,chinese food,\ne33492,2019/11/28,dinner,pasta,\"Emily, Carter, Kayden, Andrew\"\ne33499,2019/11/29,breakfast,peanut-butter-jam,\"Nora, Olivia, Hazel, Avery, Claire, Kinsley, Piper, Layla\"\ne33500,2019/11/29,lunch,sushi,\ne33501,2019/11/29,dinner,indian food,Jackson\ne33507,2019/11/30,breakfast,peanut-butter-jam,\ne33508,2019/11/30,lunch,chinese food,Kayden\ne33509,2019/11/30,dinner,tacos,\ne33517,2019/12/01,breakfast,cereals,\ne33518,2019/12/01,lunch,fish and chips,Kayden\ne33519,2019/12/01,dinner,sushi,Kayden\ne33524,2019/12/02,breakfast,pancakes,\ne33525,2019/12/02,lunch,sushi,\"Willow, Jackson, Benjamin\"\ne33526,2019/12/02,dinner,sandwich,\ne33533,2019/12/03,breakfast,oatmeal,\"Benjamin, Avery, Willow\"\ne33534,2019/12/03,lunch,sushi,\ne33535,2019/12/03,dinner,indian food,\ne33542,2019/12/04,breakfast,peanut-butter-jam,\ne33543,2019/12/04,lunch,tacos,\ne33544,2019/12/04,dinner,tacos,\"Avery, Benjamin\"\ne33549,2019/12/05,breakfast,\"eggs, sausages, and bread\",\ne33550,2019/12/05,lunch,sandwich,\ne33551,2019/12/05,dinner,tacos,\ne33559,2019/12/06,breakfast,pancakes,\"Kayden, Emily, Carter, Andrew\"\ne33560,2019/12/06,lunch,indian food,\ne33561,2019/12/06,dinner,chinese food,\ne33568,2019/12/07,breakfast,cereals,\"Avery, Willow\"\ne33569,2019/12/07,lunch,sushi,\"Andrew, Emily, Kayden, Carter\"\ne33570,2019/12/07,dinner,pasta,\ne33576,2019/12/08,breakfast,oatmeal,\ne33577,2019/12/08,lunch,pasta,\"Emily, Andrew, Carter\"\ne33578,2019/12/08,dinner,steak,\"Willow, Benjamin\"\ne33585,2019/12/09,breakfast,pancakes,Emily\ne33586,2019/12/09,lunch,indian food,\ne33587,2019/12/09,dinner,steak,\ne33593,2019/12/10,breakfast,toast and cheese,\"Kayden, Emily, Carter\"\ne33594,2019/12/10,lunch,pasta,\"Benjamin, Avery\"\ne33595,2019/12/10,dinner,chinese food,\"Willow, Benjamin, Jackson\"\ne33603,2019/12/11,breakfast,\"eggs, sausages, and bread\",\ne33604,2019/12/11,lunch,a burger,\ne33605,2019/12/11,dinner,a burger,\ne33611,2019/12/12,breakfast,toast and cheese,\"Carter, Kayden, Andrew\"\ne33612,2019/12/12,lunch,steak,\"Carter, Andrew, Emily\"\ne33613,2019/12/12,dinner,fish and chips,\ne33619,2019/12/13,breakfast,\"eggs, sausages, and bread\",\ne33620,2019/12/13,lunch,a burger,\ne33621,2019/12/13,dinner,pasta,\ne33627,2019/12/14,breakfast,oatmeal,\ne33628,2019/12/14,lunch,a burger,Kayden\ne33629,2019/12/14,dinner,sushi,\ne33635,2019/12/15,breakfast,peanut-butter-jam,\ne33636,2019/12/15,lunch,sushi,\ne33637,2019/12/15,dinner,tacos,\ne33644,2019/12/16,breakfast,toast and cheese,\"Eva, Avery, Layla, Nevaeh, Olivia, Lydia, Hazel, Nora, Claire, Kinsley, Rylee\"\ne33645,2019/12/16,lunch,tacos,\"Claire, Piper\"\ne33646,2019/12/16,dinner,a burger,\ne33653,2019/12/17,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden\"\ne33654,2019/12/17,lunch,indian food,Kayden\ne33655,2019/12/17,dinner,chinese food,\ne33661,2019/12/18,breakfast,toast and cheese,\"Andrew, Carter, Kayden, Emily\"\ne33662,2019/12/18,lunch,sandwich,\"Emily, Andrew, Kayden\"\ne33663,2019/12/18,dinner,tacos,\ne33669,2019/12/19,breakfast,cereals,Emily\ne33670,2019/12/19,lunch,steak,\ne33671,2019/12/19,dinner,sandwich,Avery\ne33677,2019/12/20,breakfast,pancakes,\ne33678,2019/12/20,lunch,sandwich,\ne33679,2019/12/20,dinner,chinese food,\ne33686,2019/12/21,breakfast,toast and cheese,\ne33687,2019/12/21,lunch,pasta,\"Emily, Carter\"\ne33688,2019/12/21,dinner,steak,\"Olivia, Nora, Rylee, Claire, Lydia, Piper, Nevaeh, Layla\"\ne33695,2019/12/22,breakfast,pancakes,\"Andrew, Carter, Kayden\"\ne33696,2019/12/22,lunch,chinese food,\ne33697,2019/12/22,dinner,sandwich,\ne33705,2019/12/23,breakfast,\"eggs, sausages, and bread\",\ne33706,2019/12/23,lunch,fish and chips,\"Kayden, Carter, Emily, Andrew\"\ne33707,2019/12/23,dinner,a burger,\ne33715,2019/12/24,breakfast,oatmeal,\ne33716,2019/12/24,lunch,sandwich,\ne33717,2019/12/24,dinner,steak,\ne33724,2019/12/25,breakfast,oatmeal,\"Carter, Emily\"\ne33725,2019/12/25,lunch,indian food,\ne33726,2019/12/25,dinner,a burger,\"Benjamin, Avery, Willow\"\ne33733,2019/12/26,breakfast,toast and cheese,\"Emily, Andrew\"\ne33734,2019/12/26,lunch,chinese food,\"Kayden, Carter, Andrew\"\ne33735,2019/12/26,dinner,tacos,\ne33742,2019/12/27,breakfast,oatmeal,\"Andrew, Carter, Emily\"\ne33743,2019/12/27,lunch,indian food,\ne33744,2019/12/27,dinner,tacos,\"Hazel, Kinsley\"\ne33752,2019/12/28,breakfast,cereals,\ne33753,2019/12/28,lunch,indian food,\"Kayden, Emily, Andrew, Carter\"\ne33754,2019/12/28,dinner,a burger,Rylee\ne33761,2019/12/29,breakfast,oatmeal,\ne33762,2019/12/29,lunch,sandwich,\ne33763,2019/12/29,dinner,tacos,\ne33768,2019/12/30,breakfast,peanut-butter-jam,Avery\ne33769,2019/12/30,lunch,chinese food,\"Piper, Layla, Claire, Nevaeh, Avery, Lydia, Rylee, Eva, Olivia, Kinsley\"\ne33770,2019/12/30,dinner,sushi,\ne33775,2019/12/31,breakfast,peanut-butter-jam,\ne33776,2019/12/31,lunch,chinese food,\ne33777,2019/12/31,dinner,a burger,\ne34007,2020/01/01,breakfast,cereals,\ne34008,2020/01/01,lunch,fish and chips,\"Kayden, Carter\"\ne34009,2020/01/01,dinner,fish and chips,\ne34017,2020/01/02,breakfast,oatmeal,\ne34018,2020/01/02,lunch,indian food,\ne34019,2020/01/02,dinner,indian food,\ne34027,2020/01/03,breakfast,peanut-butter-jam,\ne34028,2020/01/03,lunch,indian food,\"Piper, Eva, Piper, Avery, Rylee, Layla\"\ne34029,2020/01/03,dinner,steak,\"Rylee, Nora, Piper, Piper, Hazel, Claire, Avery, Olivia, Lydia, Eva, Kinsley\"\ne34036,2020/01/04,breakfast,cereals,\"Carter, Kayden, Andrew\"\ne34037,2020/01/04,lunch,indian food,\ne34038,2020/01/04,dinner,chinese food,\ne34045,2020/01/05,breakfast,oatmeal,\"Kinsley, Piper, Lydia, Claire, Nevaeh, Nora, Olivia, Eva, Rylee, Piper, Avery\"\ne34046,2020/01/05,lunch,sandwich,\"Eva, Olivia, Nora, Claire, Hazel, Nevaeh\"\ne34047,2020/01/05,dinner,pasta,\"Jackson, Willow, Avery, Benjamin\"\ne34054,2020/01/06,breakfast,toast and cheese,\ne34055,2020/01/06,lunch,a burger,\ne34056,2020/01/06,dinner,fish and chips,\ne34061,2020/01/07,breakfast,peanut-butter-jam,\ne34062,2020/01/07,lunch,fish and chips,\"Carter, Kayden, Andrew, Emily\"\ne34063,2020/01/07,dinner,sushi,\"Nevaeh, Hazel, Claire, Lydia\"\ne34069,2020/01/08,breakfast,peanut-butter-jam,\"Piper, Avery, Hazel, Claire\"\ne34070,2020/01/08,lunch,fish and chips,\"Kayden, Andrew, Carter, Emily\"\ne34071,2020/01/08,dinner,sandwich,\ne34078,2020/01/09,breakfast,cereals,\ne34079,2020/01/09,lunch,steak,\"Kinsley, Avery, Nora, Piper\"\ne34080,2020/01/09,dinner,fish and chips,\ne34086,2020/01/10,breakfast,oatmeal,\ne34087,2020/01/10,lunch,sandwich,\ne34088,2020/01/10,dinner,fish and chips,\"Carter, Emily, Andrew, Kayden\"\ne34095,2020/01/11,breakfast,pancakes,\"Avery, Benjamin\"\ne34096,2020/01/11,lunch,steak,\"Rylee, Nora, Piper, Kinsley, Lydia, Nevaeh, Hazel, Claire, Eva, Avery, Piper, Layla\"\ne34097,2020/01/11,dinner,sandwich,\ne34105,2020/01/12,breakfast,cereals,\"Kayden, Andrew, Emily\"\ne34106,2020/01/12,lunch,sandwich,\ne34107,2020/01/12,dinner,indian food,\ne34113,2020/01/13,breakfast,cereals,Willow\ne34114,2020/01/13,lunch,tacos,\ne34115,2020/01/13,dinner,chinese food,\ne34122,2020/01/14,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily, Andrew, Kayden\"\ne34123,2020/01/14,lunch,chinese food,\ne34124,2020/01/14,dinner,tacos,\ne34131,2020/01/15,breakfast,cereals,\"Andrew, Kayden, Emily, Carter\"\ne34132,2020/01/15,lunch,sandwich,\ne34133,2020/01/15,dinner,sushi,\"Kayden, Emily, Andrew, Carter\"\ne34139,2020/01/16,breakfast,cereals,\"Andrew, Kayden, Emily, Carter\"\ne34140,2020/01/16,lunch,sandwich,\"Nevaeh, Layla, Hazel, Piper, Olivia, Avery\"\ne34141,2020/01/16,dinner,chinese food,\ne34147,2020/01/17,breakfast,\"eggs, sausages, and bread\",\ne34148,2020/01/17,lunch,sandwich,\ne34149,2020/01/17,dinner,tacos,\ne34157,2020/01/18,breakfast,\"eggs, sausages, and bread\",\ne34158,2020/01/18,lunch,indian food,\"Andrew, Emily, Kayden, Carter\"\ne34159,2020/01/18,dinner,a burger,\ne34166,2020/01/19,breakfast,toast and cheese,\"Emily, Carter\"\ne34167,2020/01/19,lunch,chinese food,\ne34168,2020/01/19,dinner,a burger,\"Carter, Kayden, Andrew\"\ne34176,2020/01/20,breakfast,\"eggs, sausages, and bread\",\ne34177,2020/01/20,lunch,a burger,\ne34178,2020/01/20,dinner,pasta,\ne34186,2020/01/21,breakfast,cereals,\ne34187,2020/01/21,lunch,sushi,\"Emily, Andrew, Kayden\"\ne34188,2020/01/21,dinner,pasta,\ne34195,2020/01/22,breakfast,peanut-butter-jam,\"Kayden, Andrew, Carter, Emily\"\ne34196,2020/01/22,lunch,tacos,\ne34197,2020/01/22,dinner,pasta,\ne34203,2020/01/23,breakfast,toast and cheese,\ne34204,2020/01/23,lunch,tacos,\ne34205,2020/01/23,dinner,sushi,\"Willow, Avery, Jackson\"\ne34212,2020/01/24,breakfast,\"eggs, sausages, and bread\",\ne34213,2020/01/24,lunch,pasta,\"Emily, Carter\"\ne34214,2020/01/24,dinner,pasta,\ne34221,2020/01/25,breakfast,oatmeal,\ne34222,2020/01/25,lunch,chinese food,\ne34223,2020/01/25,dinner,sushi,Kayden\ne34231,2020/01/26,breakfast,toast and cheese,\ne34232,2020/01/26,lunch,chinese food,\"Kayden, Carter, Andrew\"\ne34233,2020/01/26,dinner,pasta,\"Piper, Nevaeh, Kinsley, Piper, Hazel, Layla, Olivia, Eva, Claire, Lydia\"\ne34241,2020/01/27,breakfast,toast and cheese,\ne34242,2020/01/27,lunch,sandwich,\ne34243,2020/01/27,dinner,pasta,\"Jackson, Avery, Willow, Benjamin\"\ne34249,2020/01/28,breakfast,toast and cheese,\ne34250,2020/01/28,lunch,sandwich,Rylee\ne34251,2020/01/28,dinner,a burger,\"Carter, Emily, Kayden\"\ne34259,2020/01/29,breakfast,peanut-butter-jam,\"Emily, Kayden\"\ne34260,2020/01/29,lunch,sandwich,\ne34261,2020/01/29,dinner,fish and chips,\"Hazel, Eva, Piper, Nevaeh\"\ne34269,2020/01/30,breakfast,oatmeal,\"Hazel, Eva, Kinsley, Avery, Olivia, Nevaeh\"\ne34270,2020/01/30,lunch,fish and chips,\ne34271,2020/01/30,dinner,chinese food,\ne34278,2020/01/31,breakfast,peanut-butter-jam,\"Andrew, Emily, Carter, Kayden\"\ne34279,2020/01/31,lunch,pasta,\"Nevaeh, Layla, Avery, Piper, Hazel, Kinsley, Rylee, Olivia\"\ne34280,2020/01/31,dinner,steak,Avery\ne34287,2020/02/01,breakfast,pancakes,\ne34288,2020/02/01,lunch,steak,\"Kinsley, Avery, Piper\"\ne34289,2020/02/01,dinner,fish and chips,\ne34296,2020/02/02,breakfast,peanut-butter-jam,\ne34297,2020/02/02,lunch,indian food,\ne34298,2020/02/02,dinner,a burger,\ne34306,2020/02/03,breakfast,peanut-butter-jam,\"Emily, Andrew, Carter\"\ne34307,2020/02/03,lunch,chinese food,\"Avery, Benjamin\"\ne34308,2020/02/03,dinner,fish and chips,Jackson\ne34315,2020/02/04,breakfast,cereals,\ne34316,2020/02/04,lunch,a burger,\ne34317,2020/02/04,dinner,pasta,\ne34325,2020/02/05,breakfast,\"eggs, sausages, and bread\",Benjamin\ne34326,2020/02/05,lunch,steak,\ne34327,2020/02/05,dinner,a burger,\ne34333,2020/02/06,breakfast,peanut-butter-jam,\"Avery, Rylee, Claire, Piper, Piper, Nora, Layla, Hazel, Nevaeh, Olivia, Lydia, Eva, Kinsley\"\ne34334,2020/02/06,lunch,chinese food,\ne34335,2020/02/06,dinner,steak,\ne34342,2020/02/07,breakfast,cereals,\ne34343,2020/02/07,lunch,sushi,\ne34344,2020/02/07,dinner,steak,\"Jackson, Willow, Benjamin, Avery\"\ne34352,2020/02/08,breakfast,toast and cheese,\ne34353,2020/02/08,lunch,sandwich,\"Avery, Willow, Jackson\"\ne34354,2020/02/08,dinner,fish and chips,Willow\ne34362,2020/02/09,breakfast,cereals,\ne34363,2020/02/09,lunch,tacos,Andrew\ne34364,2020/02/09,dinner,sandwich,\ne34371,2020/02/10,breakfast,peanut-butter-jam,\ne34372,2020/02/10,lunch,fish and chips,\ne34373,2020/02/10,dinner,chinese food,\ne34380,2020/02/11,breakfast,toast and cheese,\"Olivia, Layla, Piper, Lydia, Nora, Piper\"\ne34381,2020/02/11,lunch,sushi,\ne34382,2020/02/11,dinner,steak,\ne34388,2020/02/12,breakfast,\"eggs, sausages, and bread\",\"Piper, Eva, Claire, Kinsley, Hazel, Piper, Layla, Avery, Nora\"\ne34389,2020/02/12,lunch,pasta,Nora\ne34390,2020/02/12,dinner,pasta,\ne34397,2020/02/13,breakfast,cereals,\ne34398,2020/02/13,lunch,fish and chips,\ne34399,2020/02/13,dinner,steak,\"Willow, Benjamin\"\ne34405,2020/02/14,breakfast,pancakes,\ne34406,2020/02/14,lunch,steak,\ne34407,2020/02/14,dinner,sushi,\ne34413,2020/02/15,breakfast,cereals,\ne34414,2020/02/15,lunch,pasta,\ne34415,2020/02/15,dinner,chinese food,\"Emily, Carter\"\ne34423,2020/02/16,breakfast,peanut-butter-jam,\ne34424,2020/02/16,lunch,chinese food,\ne34425,2020/02/16,dinner,chinese food,\"Jackson, Avery\"\ne34431,2020/02/17,breakfast,\"eggs, sausages, and bread\",\"Olivia, Hazel, Rylee\"\ne34432,2020/02/17,lunch,pasta,\ne34433,2020/02/17,dinner,sushi,\ne34440,2020/02/18,breakfast,toast and cheese,\ne34441,2020/02/18,lunch,sandwich,Andrew\ne34442,2020/02/18,dinner,pasta,\"Olivia, Piper, Layla, Piper\"\ne34449,2020/02/19,breakfast,oatmeal,\ne34450,2020/02/19,lunch,fish and chips,\ne34451,2020/02/19,dinner,tacos,\"Lydia, Eva, Rylee, Nevaeh, Nora, Claire, Avery, Olivia, Kinsley, Hazel, Layla, Piper, Piper\"\ne34457,2020/02/20,breakfast,cereals,\ne34458,2020/02/20,lunch,pasta,\ne34459,2020/02/20,dinner,fish and chips,\"Olivia, Piper, Layla, Claire\"\ne34467,2020/02/21,breakfast,pancakes,\ne34468,2020/02/21,lunch,steak,\ne34469,2020/02/21,dinner,chinese food,\"Kayden, Emily, Andrew\"\ne34476,2020/02/22,breakfast,pancakes,Avery\ne34477,2020/02/22,lunch,fish and chips,\ne34478,2020/02/22,dinner,pasta,\ne34484,2020/02/23,breakfast,peanut-butter-jam,\"Willow, Jackson, Avery\"\ne34485,2020/02/23,lunch,sushi,\ne34486,2020/02/23,dinner,steak,\"Lydia, Piper, Claire, Eva, Layla, Piper, Nevaeh, Hazel, Kinsley, Avery, Olivia, Nora\"\ne34493,2020/02/24,breakfast,cereals,\"Carter, Andrew, Kayden\"\ne34494,2020/02/24,lunch,sandwich,\"Rylee, Avery\"\ne34495,2020/02/24,dinner,fish and chips,\ne34501,2020/02/25,breakfast,peanut-butter-jam,\ne34502,2020/02/25,lunch,sushi,\ne34503,2020/02/25,dinner,indian food,\"Willow, Jackson\"\ne34509,2020/02/26,breakfast,cereals,\"Carter, Emily\"\ne34510,2020/02/26,lunch,tacos,\"Claire, Rylee, Eva, Nevaeh, Lydia, Avery, Piper\"\ne34511,2020/02/26,dinner,tacos,\"Avery, Lydia, Rylee, Piper, Piper, Nevaeh, Olivia, Layla, Hazel\"\ne34519,2020/02/27,breakfast,toast and cheese,\ne34520,2020/02/27,lunch,indian food,Emily\ne34521,2020/02/27,dinner,tacos,\"Carter, Emily, Kayden, Andrew\"\ne34528,2020/02/28,breakfast,peanut-butter-jam,\ne34529,2020/02/28,lunch,chinese food,\ne34530,2020/02/28,dinner,a burger,Lydia\ne34537,2020/02/29,breakfast,pancakes,Andrew\ne34538,2020/02/29,lunch,fish and chips,\ne34539,2020/02/29,dinner,sandwich,\ne34545,2020/03/01,breakfast,cereals,\ne34546,2020/03/01,lunch,sushi,Kayden\ne34547,2020/03/01,dinner,a burger,\ne34555,2020/03/02,breakfast,\"eggs, sausages, and bread\",Kayden\ne34556,2020/03/02,lunch,fish and chips,\"Avery, Benjamin, Jackson, Willow\"\ne34557,2020/03/02,dinner,fish and chips,\"Avery, Willow, Benjamin\"\ne34564,2020/03/03,breakfast,cereals,\"Carter, Andrew\"\ne34565,2020/03/03,lunch,steak,\ne34566,2020/03/03,dinner,fish and chips,\ne34573,2020/03/04,breakfast,pancakes,\"Carter, Emily\"\ne34574,2020/03/04,lunch,steak,\ne34575,2020/03/04,dinner,fish and chips,\ne34580,2020/03/05,breakfast,toast and cheese,\ne34581,2020/03/05,lunch,sushi,\ne34582,2020/03/05,dinner,fish and chips,\ne34588,2020/03/06,breakfast,oatmeal,\ne34589,2020/03/06,lunch,sandwich,\ne34590,2020/03/06,dinner,tacos,\ne34598,2020/03/07,breakfast,peanut-butter-jam,\ne34599,2020/03/07,lunch,a burger,\ne34600,2020/03/07,dinner,sandwich,\ne34607,2020/03/08,breakfast,oatmeal,\ne34608,2020/03/08,lunch,fish and chips,\ne34609,2020/03/08,dinner,steak,\"Olivia, Piper, Layla, Claire, Nora\"\ne34616,2020/03/09,breakfast,oatmeal,\"Benjamin, Avery, Jackson, Willow\"\ne34617,2020/03/09,lunch,a burger,\"Layla, Rylee, Lydia, Avery, Olivia, Nora, Hazel\"\ne34618,2020/03/09,dinner,a burger,Carter\ne34625,2020/03/10,breakfast,pancakes,\ne34626,2020/03/10,lunch,steak,\ne34627,2020/03/10,dinner,fish and chips,\ne34634,2020/03/11,breakfast,toast and cheese,\ne34635,2020/03/11,lunch,pasta,\ne34636,2020/03/11,dinner,a burger,\"Carter, Andrew, Emily, Kayden\"\ne34642,2020/03/12,breakfast,oatmeal,\ne34643,2020/03/12,lunch,pasta,\"Rylee, Layla, Kinsley, Lydia, Nora, Piper, Claire, Nevaeh, Eva, Avery, Piper, Hazel\"\ne34644,2020/03/12,dinner,sandwich,\"Andrew, Carter, Emily\"\ne34651,2020/03/13,breakfast,toast and cheese,\ne34652,2020/03/13,lunch,chinese food,\"Andrew, Kayden\"\ne34653,2020/03/13,dinner,chinese food,\ne34659,2020/03/14,breakfast,peanut-butter-jam,Piper\ne34660,2020/03/14,lunch,sandwich,\"Piper, Eva, Nevaeh, Avery, Layla, Rylee, Hazel, Claire\"\ne34661,2020/03/14,dinner,chinese food,\"Willow, Avery, Benjamin, Jackson\"\ne34668,2020/03/15,breakfast,pancakes,\ne34669,2020/03/15,lunch,chinese food,\ne34670,2020/03/15,dinner,pasta,\ne34677,2020/03/16,breakfast,oatmeal,\ne34678,2020/03/16,lunch,a burger,Benjamin\ne34679,2020/03/16,dinner,sandwich,Emily\ne34684,2020/03/17,breakfast,oatmeal,Emily\ne34685,2020/03/17,lunch,pasta,Benjamin\ne34686,2020/03/17,dinner,pasta,\"Rylee, Layla, Hazel, Olivia, Claire, Lydia, Nora, Piper, Piper, Nevaeh, Avery, Kinsley, Eva\"\ne34692,2020/03/18,breakfast,pancakes,\ne34693,2020/03/18,lunch,fish and chips,\ne34694,2020/03/18,dinner,sandwich,\"Carter, Kayden, Emily, Andrew\"\ne34701,2020/03/19,breakfast,peanut-butter-jam,\"Eva, Hazel, Claire, Nora, Avery, Piper, Piper\"\ne34702,2020/03/19,lunch,indian food,Kayden\ne34703,2020/03/19,dinner,pasta,\ne34711,2020/03/20,breakfast,pancakes,\"Layla, Nevaeh, Claire, Olivia, Piper, Kinsley, Rylee\"\ne34712,2020/03/20,lunch,steak,\"Avery, Willow\"\ne34713,2020/03/20,dinner,fish and chips,\ne34719,2020/03/21,breakfast,pancakes,\ne34720,2020/03/21,lunch,sandwich,\ne34721,2020/03/21,dinner,pasta,\"Carter, Andrew\"\ne34728,2020/03/22,breakfast,oatmeal,\ne34729,2020/03/22,lunch,chinese food,\"Rylee, Nevaeh, Piper, Layla, Lydia, Hazel, Claire, Olivia, Nora, Kinsley, Piper, Eva, Avery\"\ne34730,2020/03/22,dinner,chinese food,\ne34737,2020/03/23,breakfast,\"eggs, sausages, and bread\",Andrew\ne34738,2020/03/23,lunch,indian food,\ne34739,2020/03/23,dinner,chinese food,\"Nevaeh, Rylee, Piper, Piper, Nora, Eva\"\ne34745,2020/03/24,breakfast,\"eggs, sausages, and bread\",\ne34746,2020/03/24,lunch,fish and chips,\ne34747,2020/03/24,dinner,tacos,\ne34755,2020/03/25,breakfast,peanut-butter-jam,\ne34756,2020/03/25,lunch,tacos,\ne34757,2020/03/25,dinner,a burger,\ne34764,2020/03/26,breakfast,pancakes,\ne34765,2020/03/26,lunch,a burger,\ne34766,2020/03/26,dinner,sushi,\ne34772,2020/03/27,breakfast,pancakes,\"Nevaeh, Rylee, Olivia, Piper, Layla, Nora, Avery, Piper, Eva, Claire\"\ne34773,2020/03/27,lunch,fish and chips,\"Jackson, Willow, Benjamin, Avery\"\ne34774,2020/03/27,dinner,fish and chips,\ne34780,2020/03/28,breakfast,peanut-butter-jam,\ne34781,2020/03/28,lunch,sandwich,\"Jackson, Benjamin, Willow\"\ne34782,2020/03/28,dinner,indian food,\ne34788,2020/03/29,breakfast,toast and cheese,\"Piper, Nora, Avery, Kinsley, Lydia, Claire, Layla, Nevaeh, Piper, Hazel, Rylee, Olivia, Eva\"\ne34789,2020/03/29,lunch,tacos,\ne34790,2020/03/29,dinner,chinese food,Andrew\ne34798,2020/03/30,breakfast,pancakes,\ne34799,2020/03/30,lunch,sushi,\ne34800,2020/03/30,dinner,tacos,\ne34806,2020/03/31,breakfast,oatmeal,\ne34807,2020/03/31,lunch,chinese food,\ne34808,2020/03/31,dinner,chinese food,\ne34814,2020/04/01,breakfast,pancakes,\ne34815,2020/04/01,lunch,steak,\"Andrew, Carter, Kayden\"\ne34816,2020/04/01,dinner,pasta,\"Avery, Eva, Olivia, Layla, Lydia, Nevaeh, Kinsley, Piper, Claire, Hazel, Nora, Rylee, Piper\"\ne34822,2020/04/02,breakfast,cereals,\ne34823,2020/04/02,lunch,a burger,\"Claire, Lydia, Nevaeh, Kinsley, Olivia\"\ne34824,2020/04/02,dinner,tacos,\ne34831,2020/04/03,breakfast,pancakes,\"Andrew, Emily, Kayden\"\ne34832,2020/04/03,lunch,pasta,\ne34833,2020/04/03,dinner,sushi,\ne34839,2020/04/04,breakfast,pancakes,\ne34840,2020/04/04,lunch,indian food,\ne34841,2020/04/04,dinner,pasta,\ne34848,2020/04/05,breakfast,\"eggs, sausages, and bread\",\ne34849,2020/04/05,lunch,a burger,\ne34850,2020/04/05,dinner,pasta,\ne34857,2020/04/06,breakfast,cereals,\ne34858,2020/04/06,lunch,fish and chips,\ne34859,2020/04/06,dinner,chinese food,\"Carter, Kayden\"\ne34866,2020/04/07,breakfast,peanut-butter-jam,\"Piper, Piper, Kinsley, Olivia, Layla, Claire, Hazel, Eva, Lydia, Rylee, Nora, Avery, Nevaeh\"\ne34867,2020/04/07,lunch,pasta,\ne34868,2020/04/07,dinner,sandwich,\"Claire, Layla, Kinsley\"\ne34875,2020/04/08,breakfast,\"eggs, sausages, and bread\",\ne34876,2020/04/08,lunch,a burger,\"Willow, Benjamin, Jackson\"\ne34877,2020/04/08,dinner,tacos,\ne34882,2020/04/09,breakfast,toast and cheese,\"Emily, Carter, Andrew, Kayden\"\ne34883,2020/04/09,lunch,steak,\ne34884,2020/04/09,dinner,a burger,\ne34891,2020/04/10,breakfast,\"eggs, sausages, and bread\",\"Willow, Avery, Benjamin\"\ne34892,2020/04/10,lunch,chinese food,\"Carter, Andrew, Emily\"\ne34893,2020/04/10,dinner,tacos,\ne34900,2020/04/11,breakfast,pancakes,Avery\ne34901,2020/04/11,lunch,steak,\"Carter, Emily, Andrew, Kayden\"\ne34902,2020/04/11,dinner,fish and chips,\ne34908,2020/04/12,breakfast,pancakes,Andrew\ne34909,2020/04/12,lunch,a burger,\ne34910,2020/04/12,dinner,sushi,\"Kayden, Emily, Carter, Andrew\"\ne34916,2020/04/13,breakfast,cereals,\ne34917,2020/04/13,lunch,sandwich,\ne34918,2020/04/13,dinner,a burger,Avery\ne34925,2020/04/14,breakfast,peanut-butter-jam,\"Rylee, Avery, Piper, Claire, Lydia, Piper, Olivia, Eva, Nevaeh, Kinsley, Nora\"\ne34926,2020/04/14,lunch,sushi,\ne34927,2020/04/14,dinner,chinese food,\ne34933,2020/04/15,breakfast,cereals,\ne34934,2020/04/15,lunch,indian food,Carter\ne34935,2020/04/15,dinner,indian food,\ne34941,2020/04/16,breakfast,pancakes,\ne34942,2020/04/16,lunch,fish and chips,\ne34943,2020/04/16,dinner,sandwich,\ne34950,2020/04/17,breakfast,peanut-butter-jam,\"Nora, Olivia, Lydia, Eva\"\ne34951,2020/04/17,lunch,a burger,\ne34952,2020/04/17,dinner,fish and chips,\ne34958,2020/04/18,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew, Emily\"\ne34959,2020/04/18,lunch,steak,\ne34960,2020/04/18,dinner,sushi,\"Jackson, Benjamin\"\ne34967,2020/04/19,breakfast,\"eggs, sausages, and bread\",\ne34968,2020/04/19,lunch,indian food,\ne34969,2020/04/19,dinner,steak,\"Emily, Kayden, Andrew\"\ne34976,2020/04/20,breakfast,pancakes,\"Lydia, Avery, Layla, Hazel, Claire, Eva, Kinsley, Piper\"\ne34977,2020/04/20,lunch,indian food,\ne34978,2020/04/20,dinner,sushi,\ne34985,2020/04/21,breakfast,\"eggs, sausages, and bread\",\"Andrew, Emily, Kayden, Carter\"\ne34986,2020/04/21,lunch,steak,\ne34987,2020/04/21,dinner,indian food,\ne34993,2020/04/22,breakfast,toast and cheese,\ne34994,2020/04/22,lunch,indian food,\"Kayden, Emily, Carter, Andrew\"\ne34995,2020/04/22,dinner,a burger,\ne35001,2020/04/23,breakfast,pancakes,\"Olivia, Rylee, Piper, Avery, Eva\"\ne35002,2020/04/23,lunch,sushi,\ne35003,2020/04/23,dinner,sandwich,\"Claire, Rylee, Layla, Piper, Lydia, Hazel, Piper, Eva\"\ne35010,2020/04/24,breakfast,toast and cheese,\ne35011,2020/04/24,lunch,pasta,\ne35012,2020/04/24,dinner,pasta,\ne35018,2020/04/25,breakfast,cereals,\"Nora, Rylee, Olivia, Nevaeh, Avery\"\ne35019,2020/04/25,lunch,steak,\ne35020,2020/04/25,dinner,a burger,\ne35027,2020/04/26,breakfast,\"eggs, sausages, and bread\",\ne35028,2020/04/26,lunch,pasta,\ne35029,2020/04/26,dinner,pasta,\ne35035,2020/04/27,breakfast,oatmeal,\ne35036,2020/04/27,lunch,sushi,\"Claire, Hazel, Avery\"\ne35037,2020/04/27,dinner,steak,\"Nevaeh, Claire, Rylee, Avery, Eva, Hazel, Lydia, Layla, Piper\"\ne35043,2020/04/28,breakfast,cereals,\"Jackson, Avery, Willow, Benjamin\"\ne35044,2020/04/28,lunch,steak,\"Jackson, Willow\"\ne35045,2020/04/28,dinner,steak,\ne35053,2020/04/29,breakfast,\"eggs, sausages, and bread\",\ne35054,2020/04/29,lunch,indian food,\ne35055,2020/04/29,dinner,fish and chips,\ne35063,2020/04/30,breakfast,cereals,\"Eva, Claire, Nora, Piper, Layla, Hazel, Kinsley, Lydia, Rylee, Avery, Nevaeh\"\ne35064,2020/04/30,lunch,tacos,\ne35065,2020/04/30,dinner,a burger,\ne35070,2020/05/01,breakfast,oatmeal,\ne35071,2020/05/01,lunch,fish and chips,\"Andrew, Emily\"\ne35072,2020/05/01,dinner,chinese food,Willow\ne35078,2020/05/02,breakfast,toast and cheese,\ne35079,2020/05/02,lunch,chinese food,\ne35080,2020/05/02,dinner,sushi,\"Layla, Olivia, Nora, Eva\"\ne35085,2020/05/03,breakfast,cereals,\ne35086,2020/05/03,lunch,sushi,\ne35087,2020/05/03,dinner,steak,\ne35092,2020/05/04,breakfast,toast and cheese,\"Carter, Emily, Andrew\"\ne35093,2020/05/04,lunch,fish and chips,\"Kayden, Andrew, Emily\"\ne35094,2020/05/04,dinner,tacos,\"Andrew, Emily, Carter\"\ne35099,2020/05/05,breakfast,cereals,\ne35100,2020/05/05,lunch,sandwich,\ne35101,2020/05/05,dinner,steak,\ne35108,2020/05/06,breakfast,cereals,\"Avery, Willow\"\ne35109,2020/05/06,lunch,sushi,\"Carter, Emily, Andrew\"\ne35110,2020/05/06,dinner,fish and chips,\"Andrew, Carter, Emily, Kayden\"\ne35118,2020/05/07,breakfast,\"eggs, sausages, and bread\",\"Emily, Andrew, Kayden\"\ne35119,2020/05/07,lunch,a burger,\"Avery, Nevaeh, Hazel, Piper, Lydia\"\ne35120,2020/05/07,dinner,indian food,\ne35126,2020/05/08,breakfast,peanut-butter-jam,\ne35127,2020/05/08,lunch,sandwich,\ne35128,2020/05/08,dinner,indian food,\ne35133,2020/05/09,breakfast,cereals,\"Nevaeh, Hazel, Lydia, Piper, Piper\"\ne35134,2020/05/09,lunch,chinese food,\"Layla, Piper, Rylee\"\ne35135,2020/05/09,dinner,tacos,\ne35141,2020/05/10,breakfast,oatmeal,\ne35142,2020/05/10,lunch,chinese food,\"Nevaeh, Layla\"\ne35143,2020/05/10,dinner,pasta,\ne35148,2020/05/11,breakfast,toast and cheese,\"Emily, Kayden, Andrew\"\ne35149,2020/05/11,lunch,fish and chips,\ne35150,2020/05/11,dinner,sushi,\ne35155,2020/05/12,breakfast,toast and cheese,\"Andrew, Emily, Kayden\"\ne35156,2020/05/12,lunch,indian food,\ne35157,2020/05/12,dinner,tacos,\ne35163,2020/05/13,breakfast,peanut-butter-jam,\"Kayden, Andrew\"\ne35164,2020/05/13,lunch,chinese food,\ne35165,2020/05/13,dinner,sandwich,\ne35171,2020/05/14,breakfast,cereals,\ne35172,2020/05/14,lunch,fish and chips,\ne35173,2020/05/14,dinner,fish and chips,\ne35178,2020/05/15,breakfast,pancakes,\ne35179,2020/05/15,lunch,tacos,\ne35180,2020/05/15,dinner,indian food,\ne35188,2020/05/16,breakfast,cereals,\ne35189,2020/05/16,lunch,tacos,\ne35190,2020/05/16,dinner,steak,\ne35197,2020/05/17,breakfast,toast and cheese,Jackson\ne35198,2020/05/17,lunch,sushi,\"Kayden, Emily, Carter\"\ne35199,2020/05/17,dinner,tacos,\ne35206,2020/05/18,breakfast,peanut-butter-jam,\ne35207,2020/05/18,lunch,indian food,\ne35208,2020/05/18,dinner,tacos,\"Emily, Carter, Andrew\"\ne35215,2020/05/19,breakfast,oatmeal,\"Avery, Nevaeh, Kinsley, Rylee, Olivia, Claire, Hazel, Piper, Lydia\"\ne35216,2020/05/19,lunch,a burger,\ne35217,2020/05/19,dinner,indian food,\ne35223,2020/05/20,breakfast,oatmeal,\ne35224,2020/05/20,lunch,tacos,\ne35225,2020/05/20,dinner,sushi,\"Piper, Hazel, Claire, Nora, Eva, Rylee, Olivia, Avery, Piper, Kinsley, Lydia\"\ne35231,2020/05/21,breakfast,oatmeal,\"Avery, Benjamin, Jackson, Willow\"\ne35232,2020/05/21,lunch,steak,\ne35233,2020/05/21,dinner,fish and chips,\ne35241,2020/05/22,breakfast,pancakes,\"Piper, Kinsley, Rylee, Hazel, Nora, Olivia\"\ne35242,2020/05/22,lunch,steak,\ne35243,2020/05/22,dinner,tacos,\"Emily, Andrew\"\ne35248,2020/05/23,breakfast,\"eggs, sausages, and bread\",\ne35249,2020/05/23,lunch,tacos,\"Kayden, Andrew, Emily\"\ne35250,2020/05/23,dinner,chinese food,\ne35258,2020/05/24,breakfast,\"eggs, sausages, and bread\",\ne35259,2020/05/24,lunch,pasta,\ne35260,2020/05/24,dinner,fish and chips,\ne35268,2020/05/25,breakfast,peanut-butter-jam,\ne35269,2020/05/25,lunch,indian food,\ne35270,2020/05/25,dinner,sushi,\ne35278,2020/05/26,breakfast,oatmeal,\ne35279,2020/05/26,lunch,steak,\"Carter, Andrew, Emily, Kayden\"\ne35280,2020/05/26,dinner,pasta,\ne35286,2020/05/27,breakfast,cereals,\ne35287,2020/05/27,lunch,steak,\ne35288,2020/05/27,dinner,a burger,\ne35295,2020/05/28,breakfast,peanut-butter-jam,\ne35296,2020/05/28,lunch,sushi,\"Andrew, Emily, Carter\"\ne35297,2020/05/28,dinner,tacos,\ne35302,2020/05/29,breakfast,toast and cheese,\"Rylee, Eva, Hazel, Nevaeh, Piper, Piper, Claire, Layla, Nora\"\ne35303,2020/05/29,lunch,steak,\"Piper, Kinsley, Nevaeh\"\ne35304,2020/05/29,dinner,indian food,\ne35310,2020/05/30,breakfast,cereals,\ne35311,2020/05/30,lunch,chinese food,\ne35312,2020/05/30,dinner,fish and chips,\"Lydia, Eva, Nevaeh, Kinsley, Olivia, Nora, Claire, Hazel, Piper, Layla, Piper, Avery\"\ne35320,2020/05/31,breakfast,oatmeal,\ne35321,2020/05/31,lunch,pasta,\"Avery, Willow, Benjamin, Jackson\"\ne35322,2020/05/31,dinner,a burger,Emily\ne35329,2020/06/01,breakfast,pancakes,\"Kayden, Andrew, Carter, Emily\"\ne35330,2020/06/01,lunch,sushi,\ne35331,2020/06/01,dinner,sandwich,\"Emily, Kayden\"\ne35336,2020/06/02,breakfast,oatmeal,\"Andrew, Carter\"\ne35337,2020/06/02,lunch,sushi,\ne35338,2020/06/02,dinner,pasta,\"Nevaeh, Olivia, Kinsley, Rylee, Piper, Avery, Lydia, Layla, Hazel, Claire, Piper, Eva, Nora\"\ne35346,2020/06/03,breakfast,\"eggs, sausages, and bread\",\ne35347,2020/06/03,lunch,indian food,\ne35348,2020/06/03,dinner,pasta,\ne35355,2020/06/04,breakfast,cereals,\ne35356,2020/06/04,lunch,tacos,\"Eva, Hazel, Claire, Lydia\"\ne35357,2020/06/04,dinner,a burger,Nora\ne35364,2020/06/05,breakfast,cereals,\ne35365,2020/06/05,lunch,indian food,\"Olivia, Claire, Nora, Piper, Hazel, Nevaeh, Lydia, Kinsley, Piper, Eva, Layla, Rylee\"\ne35366,2020/06/05,dinner,a burger,\"Eva, Lydia, Hazel\"\ne35372,2020/06/06,breakfast,peanut-butter-jam,\ne35373,2020/06/06,lunch,tacos,\ne35374,2020/06/06,dinner,tacos,\ne35380,2020/06/07,breakfast,\"eggs, sausages, and bread\",\ne35381,2020/06/07,lunch,steak,\"Carter, Andrew\"\ne35382,2020/06/07,dinner,a burger,\ne35388,2020/06/08,breakfast,cereals,\ne35389,2020/06/08,lunch,steak,\ne35390,2020/06/08,dinner,pasta,\ne35397,2020/06/09,breakfast,peanut-butter-jam,\ne35398,2020/06/09,lunch,steak,Andrew\ne35399,2020/06/09,dinner,steak,\ne35406,2020/06/10,breakfast,toast and cheese,\ne35407,2020/06/10,lunch,indian food,Benjamin\ne35408,2020/06/10,dinner,tacos,\ne35415,2020/06/11,breakfast,toast and cheese,\ne35416,2020/06/11,lunch,tacos,\ne35417,2020/06/11,dinner,indian food,\ne35425,2020/06/12,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Jackson, Avery\"\ne35426,2020/06/12,lunch,sushi,\"Andrew, Kayden, Carter\"\ne35427,2020/06/12,dinner,sushi,\"Emily, Kayden, Andrew\"\ne35435,2020/06/13,breakfast,pancakes,\ne35436,2020/06/13,lunch,tacos,\ne35437,2020/06/13,dinner,sandwich,Avery\ne35443,2020/06/14,breakfast,oatmeal,\ne35444,2020/06/14,lunch,chinese food,\ne35445,2020/06/14,dinner,sandwich,\"Willow, Benjamin\"\ne35452,2020/06/15,breakfast,oatmeal,Willow\ne35453,2020/06/15,lunch,indian food,\ne35454,2020/06/15,dinner,sandwich,\ne35459,2020/06/16,breakfast,oatmeal,\ne35460,2020/06/16,lunch,pasta,\"Avery, Jackson, Benjamin, Willow\"\ne35461,2020/06/16,dinner,tacos,\ne35469,2020/06/17,breakfast,peanut-butter-jam,Kayden\ne35470,2020/06/17,lunch,pasta,\ne35471,2020/06/17,dinner,sushi,\ne35477,2020/06/18,breakfast,peanut-butter-jam,\"Carter, Andrew, Emily, Kayden\"\ne35478,2020/06/18,lunch,pasta,\"Layla, Olivia, Kinsley, Eva, Piper, Piper\"\ne35479,2020/06/18,dinner,sushi,\"Hazel, Piper, Nevaeh, Kinsley, Olivia, Eva, Nora, Layla, Avery, Lydia, Claire, Rylee\"\ne35485,2020/06/19,breakfast,\"eggs, sausages, and bread\",Nevaeh\ne35486,2020/06/19,lunch,fish and chips,\"Kayden, Andrew, Carter, Emily\"\ne35487,2020/06/19,dinner,chinese food,\"Carter, Andrew, Emily, Kayden\"\ne35492,2020/06/20,breakfast,oatmeal,\ne35493,2020/06/20,lunch,sushi,Carter\ne35494,2020/06/20,dinner,steak,\"Andrew, Emily, Kayden, Carter\"\ne35501,2020/06/21,breakfast,toast and cheese,\ne35502,2020/06/21,lunch,a burger,\"Hazel, Lydia, Claire, Nora\"\ne35503,2020/06/21,dinner,indian food,\ne35509,2020/06/22,breakfast,peanut-butter-jam,\ne35510,2020/06/22,lunch,a burger,\ne35511,2020/06/22,dinner,chinese food,\ne35516,2020/06/23,breakfast,peanut-butter-jam,\ne35517,2020/06/23,lunch,indian food,\"Olivia, Kinsley, Piper, Layla, Avery, Eva, Hazel, Claire\"\ne35518,2020/06/23,dinner,tacos,\ne35525,2020/06/24,breakfast,peanut-butter-jam,Benjamin\ne35526,2020/06/24,lunch,indian food,\ne35527,2020/06/24,dinner,fish and chips,\"Emily, Andrew\"\ne35533,2020/06/25,breakfast,pancakes,\ne35534,2020/06/25,lunch,steak,Andrew\ne35535,2020/06/25,dinner,fish and chips,\"Benjamin, Willow\"\ne35543,2020/06/26,breakfast,peanut-butter-jam,\ne35544,2020/06/26,lunch,fish and chips,\ne35545,2020/06/26,dinner,a burger,\ne35552,2020/06/27,breakfast,\"eggs, sausages, and bread\",\"Claire, Olivia, Piper, Piper, Eva, Avery, Layla, Lydia, Kinsley, Rylee, Hazel, Nora\"\ne35553,2020/06/27,lunch,steak,\"Benjamin, Avery, Willow\"\ne35554,2020/06/27,dinner,chinese food,\ne35561,2020/06/28,breakfast,oatmeal,\ne35562,2020/06/28,lunch,a burger,\ne35563,2020/06/28,dinner,chinese food,\ne35571,2020/06/29,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter\"\ne35572,2020/06/29,lunch,indian food,\ne35573,2020/06/29,dinner,chinese food,\ne35581,2020/06/30,breakfast,oatmeal,\"Andrew, Kayden, Carter\"\ne35582,2020/06/30,lunch,a burger,\ne35583,2020/06/30,dinner,tacos,\ne35589,2020/07/01,breakfast,\"eggs, sausages, and bread\",\ne35590,2020/07/01,lunch,pasta,\ne35591,2020/07/01,dinner,a burger,\ne35597,2020/07/02,breakfast,\"eggs, sausages, and bread\",\ne35598,2020/07/02,lunch,a burger,\"Piper, Avery, Layla, Nora, Kinsley, Rylee, Eva, Claire, Hazel\"\ne35599,2020/07/02,dinner,indian food,\ne35605,2020/07/03,breakfast,peanut-butter-jam,\"Kayden, Carter\"\ne35606,2020/07/03,lunch,chinese food,\ne35607,2020/07/03,dinner,sushi,Carter\ne35613,2020/07/04,breakfast,peanut-butter-jam,\"Kayden, Andrew\"\ne35614,2020/07/04,lunch,sandwich,\"Kayden, Carter, Andrew\"\ne35615,2020/07/04,dinner,tacos,\ne35620,2020/07/05,breakfast,pancakes,\ne35621,2020/07/05,lunch,sandwich,\ne35622,2020/07/05,dinner,sandwich,\ne35629,2020/07/06,breakfast,cereals,Willow\ne35630,2020/07/06,lunch,chinese food,\ne35631,2020/07/06,dinner,pasta,\ne35636,2020/07/07,breakfast,cereals,\ne35637,2020/07/07,lunch,chinese food,\ne35638,2020/07/07,dinner,a burger,\"Emily, Kayden, Carter\"\ne35644,2020/07/08,breakfast,oatmeal,\ne35645,2020/07/08,lunch,sandwich,\ne35646,2020/07/08,dinner,indian food,\ne35652,2020/07/09,breakfast,cereals,\ne35653,2020/07/09,lunch,sushi,\"Layla, Lydia, Claire, Eva, Nora, Nevaeh, Avery, Kinsley, Olivia, Rylee, Piper\"\ne35654,2020/07/09,dinner,pasta,\"Lydia, Piper, Avery, Nora, Layla, Eva, Nevaeh, Hazel, Rylee, Kinsley, Olivia, Claire\"\ne35660,2020/07/10,breakfast,cereals,\"Emily, Kayden\"\ne35661,2020/07/10,lunch,sushi,\"Andrew, Carter, Emily, Kayden\"\ne35662,2020/07/10,dinner,sushi,\"Willow, Jackson\"\ne35670,2020/07/11,breakfast,peanut-butter-jam,\ne35671,2020/07/11,lunch,sandwich,\ne35672,2020/07/11,dinner,a burger,\"Andrew, Carter, Kayden, Emily\"\ne35678,2020/07/12,breakfast,pancakes,\ne35679,2020/07/12,lunch,indian food,\ne35680,2020/07/12,dinner,pasta,\ne35687,2020/07/13,breakfast,\"eggs, sausages, and bread\",\"Lydia, Claire, Nora, Piper, Kinsley, Hazel, Layla, Avery, Piper, Rylee, Nevaeh, Eva, Olivia\"\ne35688,2020/07/13,lunch,chinese food,\"Carter, Kayden, Andrew, Emily\"\ne35689,2020/07/13,dinner,pasta,Willow\ne35694,2020/07/14,breakfast,oatmeal,\"Avery, Benjamin\"\ne35695,2020/07/14,lunch,fish and chips,\"Piper, Hazel, Kinsley, Layla, Nora, Rylee, Claire, Piper, Eva, Nevaeh, Olivia, Lydia\"\ne35696,2020/07/14,dinner,fish and chips,\"Carter, Emily, Kayden, Andrew\"\ne35702,2020/07/15,breakfast,pancakes,\"Carter, Andrew, Emily, Kayden\"\ne35703,2020/07/15,lunch,tacos,\ne35704,2020/07/15,dinner,sushi,\"Avery, Jackson, Willow, Benjamin\"\ne35711,2020/07/16,breakfast,oatmeal,\ne35712,2020/07/16,lunch,sandwich,\ne35713,2020/07/16,dinner,steak,\"Avery, Benjamin, Willow, Jackson\"\ne35719,2020/07/17,breakfast,\"eggs, sausages, and bread\",\ne35720,2020/07/17,lunch,steak,\ne35721,2020/07/17,dinner,sandwich,\ne35727,2020/07/18,breakfast,pancakes,\ne35728,2020/07/18,lunch,sushi,\"Emily, Kayden, Carter\"\ne35729,2020/07/18,dinner,pasta,\ne35737,2020/07/19,breakfast,oatmeal,\ne35738,2020/07/19,lunch,fish and chips,\ne35739,2020/07/19,dinner,pasta,\"Avery, Hazel, Piper, Rylee, Piper, Olivia, Eva, Lydia, Nora, Claire, Nevaeh, Kinsley, Layla\"\ne35746,2020/07/20,breakfast,cereals,\"Andrew, Kayden\"\ne35747,2020/07/20,lunch,indian food,Carter\ne35748,2020/07/20,dinner,indian food,\ne35754,2020/07/21,breakfast,peanut-butter-jam,\"Avery, Jackson\"\ne35755,2020/07/21,lunch,pasta,\ne35756,2020/07/21,dinner,sushi,\ne35764,2020/07/22,breakfast,peanut-butter-jam,\ne35765,2020/07/22,lunch,sandwich,\"Lydia, Nora, Layla, Piper, Eva, Hazel, Avery, Kinsley, Olivia, Nevaeh\"\ne35766,2020/07/22,dinner,indian food,\ne35772,2020/07/23,breakfast,\"eggs, sausages, and bread\",\ne35773,2020/07/23,lunch,sushi,\ne35774,2020/07/23,dinner,fish and chips,\ne35781,2020/07/24,breakfast,toast and cheese,\"Carter, Kayden, Emily, Andrew\"\ne35782,2020/07/24,lunch,indian food,\ne35783,2020/07/24,dinner,a burger,\ne35790,2020/07/25,breakfast,oatmeal,\"Piper, Kinsley\"\ne35791,2020/07/25,lunch,indian food,\ne35792,2020/07/25,dinner,a burger,\ne35800,2020/07/26,breakfast,pancakes,\ne35801,2020/07/26,lunch,fish and chips,\ne35802,2020/07/26,dinner,tacos,\"Emily, Andrew, Carter, Kayden\"\ne35808,2020/07/27,breakfast,toast and cheese,\ne35809,2020/07/27,lunch,fish and chips,\ne35810,2020/07/27,dinner,chinese food,\ne35816,2020/07/28,breakfast,toast and cheese,\ne35817,2020/07/28,lunch,pasta,\ne35818,2020/07/28,dinner,tacos,\"Carter, Andrew, Kayden\"\ne35824,2020/07/29,breakfast,peanut-butter-jam,\ne35825,2020/07/29,lunch,fish and chips,\ne35826,2020/07/29,dinner,indian food,\ne35833,2020/07/30,breakfast,peanut-butter-jam,\ne35834,2020/07/30,lunch,fish and chips,\ne35835,2020/07/30,dinner,indian food,\ne35841,2020/07/31,breakfast,peanut-butter-jam,\ne35842,2020/07/31,lunch,fish and chips,\ne35843,2020/07/31,dinner,chinese food,\"Willow, Avery\"\ne35850,2020/08/01,breakfast,cereals,\"Hazel, Piper, Nora, Lydia, Piper, Nevaeh, Layla, Claire, Olivia, Avery, Kinsley\"\ne35851,2020/08/01,lunch,chinese food,\ne35852,2020/08/01,dinner,tacos,\ne35856,2020/08/02,breakfast,cereals,\ne35857,2020/08/02,lunch,tacos,\ne35858,2020/08/02,dinner,tacos,\"Benjamin, Jackson\"\ne35864,2020/08/03,breakfast,cereals,\ne35865,2020/08/03,lunch,chinese food,\ne35866,2020/08/03,dinner,fish and chips,\"Benjamin, Jackson, Avery\"\ne35874,2020/08/04,breakfast,peanut-butter-jam,\ne35875,2020/08/04,lunch,tacos,\ne35876,2020/08/04,dinner,sandwich,\ne35882,2020/08/05,breakfast,oatmeal,\"Layla, Hazel, Rylee, Nevaeh, Nora, Avery, Lydia, Eva, Olivia, Claire, Piper\"\ne35883,2020/08/05,lunch,fish and chips,\ne35884,2020/08/05,dinner,chinese food,\"Carter, Andrew, Kayden, Emily\"\ne35889,2020/08/06,breakfast,cereals,\"Kayden, Carter, Andrew\"\ne35890,2020/08/06,lunch,fish and chips,\ne35891,2020/08/06,dinner,fish and chips,\"Kayden, Emily, Carter\"\ne35898,2020/08/07,breakfast,\"eggs, sausages, and bread\",\ne35899,2020/08/07,lunch,tacos,\ne35900,2020/08/07,dinner,pasta,\ne35907,2020/08/08,breakfast,toast and cheese,\ne35908,2020/08/08,lunch,sushi,\"Nevaeh, Lydia, Layla, Hazel, Kinsley, Nora, Eva, Olivia, Avery, Piper\"\ne35909,2020/08/08,dinner,pasta,\"Carter, Andrew, Emily\"\ne35916,2020/08/09,breakfast,\"eggs, sausages, and bread\",\ne35917,2020/08/09,lunch,sushi,Kayden\ne35918,2020/08/09,dinner,tacos,\"Willow, Benjamin\"\ne35924,2020/08/10,breakfast,\"eggs, sausages, and bread\",\"Avery, Willow, Jackson, Benjamin\"\ne35925,2020/08/10,lunch,tacos,\"Nora, Claire, Piper, Hazel, Piper, Olivia, Avery, Nevaeh, Kinsley, Lydia, Layla\"\ne35926,2020/08/10,dinner,a burger,\ne35933,2020/08/11,breakfast,peanut-butter-jam,\ne35934,2020/08/11,lunch,a burger,\ne35935,2020/08/11,dinner,sandwich,\ne35941,2020/08/12,breakfast,oatmeal,\ne35942,2020/08/12,lunch,pasta,Kayden\ne35943,2020/08/12,dinner,fish and chips,\ne35950,2020/08/13,breakfast,toast and cheese,\"Nevaeh, Olivia, Kinsley, Nora, Rylee, Layla, Avery, Piper, Piper, Hazel, Claire, Eva, Lydia\"\ne35951,2020/08/13,lunch,chinese food,\ne35952,2020/08/13,dinner,sushi,\"Eva, Avery, Rylee, Nevaeh\"\ne35957,2020/08/14,breakfast,cereals,\"Willow, Benjamin, Avery, Jackson\"\ne35958,2020/08/14,lunch,tacos,\"Eva, Claire, Piper, Nevaeh, Nora, Lydia, Avery, Hazel, Olivia, Rylee, Layla, Kinsley\"\ne35959,2020/08/14,dinner,fish and chips,\ne35965,2020/08/15,breakfast,\"eggs, sausages, and bread\",\ne35966,2020/08/15,lunch,sushi,\"Layla, Olivia, Piper, Piper, Eva, Kinsley, Avery, Nevaeh, Lydia, Hazel\"\ne35967,2020/08/15,dinner,fish and chips,\ne35973,2020/08/16,breakfast,cereals,\ne35974,2020/08/16,lunch,sandwich,\ne35975,2020/08/16,dinner,sushi,\ne35982,2020/08/17,breakfast,cereals,\ne35983,2020/08/17,lunch,tacos,\ne35984,2020/08/17,dinner,sandwich,\ne35990,2020/08/18,breakfast,pancakes,Willow\ne35991,2020/08/18,lunch,sushi,\ne35992,2020/08/18,dinner,sushi,\"Andrew, Kayden, Emily, Carter\"\ne35998,2020/08/19,breakfast,\"eggs, sausages, and bread\",\ne35999,2020/08/19,lunch,sushi,\"Andrew, Emily, Kayden, Carter\"\ne36000,2020/08/19,dinner,indian food,\"Emily, Andrew, Kayden\"\ne36006,2020/08/20,breakfast,\"eggs, sausages, and bread\",\ne36007,2020/08/20,lunch,steak,\ne36008,2020/08/20,dinner,indian food,\ne36015,2020/08/21,breakfast,\"eggs, sausages, and bread\",\"Claire, Hazel, Eva, Piper, Layla, Piper, Avery, Olivia, Lydia, Nevaeh\"\ne36016,2020/08/21,lunch,chinese food,\"Kayden, Andrew, Emily\"\ne36017,2020/08/21,dinner,chinese food,\ne36025,2020/08/22,breakfast,\"eggs, sausages, and bread\",\ne36026,2020/08/22,lunch,tacos,\ne36027,2020/08/22,dinner,indian food,\"Avery, Jackson\"\ne36034,2020/08/23,breakfast,\"eggs, sausages, and bread\",\ne36035,2020/08/23,lunch,tacos,\"Claire, Nora, Eva\"\ne36036,2020/08/23,dinner,a burger,\"Emily, Carter, Andrew, Kayden\"\ne36043,2020/08/24,breakfast,\"eggs, sausages, and bread\",\ne36044,2020/08/24,lunch,a burger,\ne36045,2020/08/24,dinner,pasta,\ne36051,2020/08/25,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily, Kayden\"\ne36052,2020/08/25,lunch,indian food,\ne36053,2020/08/25,dinner,pasta,\ne36060,2020/08/26,breakfast,oatmeal,\ne36061,2020/08/26,lunch,steak,\"Benjamin, Jackson\"\ne36062,2020/08/26,dinner,chinese food,\"Emily, Andrew, Kayden, Carter\"\ne36068,2020/08/27,breakfast,toast and cheese,\ne36069,2020/08/27,lunch,steak,\"Jackson, Willow, Benjamin, Avery\"\ne36070,2020/08/27,dinner,tacos,\ne36077,2020/08/28,breakfast,oatmeal,\"Emily, Kayden\"\ne36078,2020/08/28,lunch,sandwich,\ne36079,2020/08/28,dinner,a burger,\ne36087,2020/08/29,breakfast,cereals,\ne36088,2020/08/29,lunch,steak,\"Nora, Layla, Claire, Kinsley, Piper, Lydia, Nevaeh, Eva, Hazel, Rylee, Avery, Olivia\"\ne36089,2020/08/29,dinner,chinese food,\"Nora, Rylee, Layla, Olivia, Lydia, Claire, Piper, Kinsley, Hazel, Avery, Eva, Piper\"\ne36094,2020/08/30,breakfast,peanut-butter-jam,\ne36095,2020/08/30,lunch,sushi,\ne36096,2020/08/30,dinner,sandwich,Emily\ne36103,2020/08/31,breakfast,cereals,\"Emily, Carter\"\ne36104,2020/08/31,lunch,tacos,\ne36105,2020/08/31,dinner,indian food,\ne36112,2020/09/01,breakfast,peanut-butter-jam,Benjamin\ne36113,2020/09/01,lunch,sandwich,\ne36114,2020/09/01,dinner,chinese food,Andrew\ne36120,2020/09/02,breakfast,peanut-butter-jam,\ne36121,2020/09/02,lunch,tacos,\ne36122,2020/09/02,dinner,sushi,\"Carter, Emily, Andrew\"\ne36130,2020/09/03,breakfast,\"eggs, sausages, and bread\",\ne36131,2020/09/03,lunch,sandwich,\ne36132,2020/09/03,dinner,chinese food,\"Benjamin, Willow, Avery\"\ne36138,2020/09/04,breakfast,toast and cheese,\ne36139,2020/09/04,lunch,indian food,\ne36140,2020/09/04,dinner,sandwich,Benjamin\ne36147,2020/09/05,breakfast,\"eggs, sausages, and bread\",\ne36148,2020/09/05,lunch,chinese food,\ne36149,2020/09/05,dinner,tacos,\ne36155,2020/09/06,breakfast,oatmeal,\ne36156,2020/09/06,lunch,pasta,Benjamin\ne36157,2020/09/06,dinner,fish and chips,Willow\ne36165,2020/09/07,breakfast,toast and cheese,Andrew\ne36166,2020/09/07,lunch,indian food,\"Jackson, Benjamin\"\ne36167,2020/09/07,dinner,chinese food,\ne36174,2020/09/08,breakfast,\"eggs, sausages, and bread\",Emily\ne36175,2020/09/08,lunch,tacos,\"Kinsley, Rylee, Layla, Avery, Piper, Claire, Olivia, Eva, Nora, Nevaeh, Hazel, Piper\"\ne36176,2020/09/08,dinner,sandwich,Willow\ne36183,2020/09/09,breakfast,peanut-butter-jam,\"Willow, Benjamin, Avery\"\ne36184,2020/09/09,lunch,fish and chips,\ne36185,2020/09/09,dinner,chinese food,\"Piper, Olivia, Layla\"\ne36192,2020/09/10,breakfast,pancakes,Kayden\ne36193,2020/09/10,lunch,indian food,\"Piper, Claire\"\ne36194,2020/09/10,dinner,fish and chips,\"Emily, Andrew, Kayden, Carter\"\ne36201,2020/09/11,breakfast,cereals,\ne36202,2020/09/11,lunch,sandwich,\"Kinsley, Hazel, Nora, Avery, Piper, Piper, Claire, Rylee, Nevaeh\"\ne36203,2020/09/11,dinner,sandwich,\ne36211,2020/09/12,breakfast,\"eggs, sausages, and bread\",\ne36212,2020/09/12,lunch,fish and chips,\ne36213,2020/09/12,dinner,sushi,\"Carter, Andrew, Emily\"\ne36218,2020/09/13,breakfast,pancakes,\"Kayden, Andrew\"\ne36219,2020/09/13,lunch,sushi,Benjamin\ne36220,2020/09/13,dinner,pasta,\ne36227,2020/09/14,breakfast,cereals,\ne36228,2020/09/14,lunch,sandwich,\ne36229,2020/09/14,dinner,a burger,\ne36235,2020/09/15,breakfast,pancakes,Andrew\ne36236,2020/09/15,lunch,pasta,\"Kayden, Emily, Andrew\"\ne36237,2020/09/15,dinner,chinese food,Andrew\ne36243,2020/09/16,breakfast,toast and cheese,\ne36244,2020/09/16,lunch,a burger,\ne36245,2020/09/16,dinner,a burger,\ne36252,2020/09/17,breakfast,pancakes,\ne36253,2020/09/17,lunch,steak,\ne36254,2020/09/17,dinner,chinese food,\ne36260,2020/09/18,breakfast,cereals,\ne36261,2020/09/18,lunch,a burger,\ne36262,2020/09/18,dinner,sushi,\ne36268,2020/09/19,breakfast,toast and cheese,\"Emily, Kayden, Carter, Andrew\"\ne36269,2020/09/19,lunch,sandwich,\ne36270,2020/09/19,dinner,steak,\"Carter, Andrew, Emily, Kayden\"\ne36277,2020/09/20,breakfast,toast and cheese,\ne36278,2020/09/20,lunch,steak,\ne36279,2020/09/20,dinner,chinese food,\ne36285,2020/09/21,breakfast,cereals,\"Lydia, Eva, Claire, Kinsley, Hazel\"\ne36286,2020/09/21,lunch,tacos,\"Emily, Carter\"\ne36287,2020/09/21,dinner,sandwich,\ne36294,2020/09/22,breakfast,cereals,\ne36295,2020/09/22,lunch,pasta,\ne36296,2020/09/22,dinner,fish and chips,\"Jackson, Willow, Avery\"\ne36302,2020/09/23,breakfast,cereals,\ne36303,2020/09/23,lunch,indian food,\ne36304,2020/09/23,dinner,pasta,\"Rylee, Nevaeh, Nora, Kinsley\"\ne36311,2020/09/24,breakfast,peanut-butter-jam,\"Eva, Hazel, Kinsley, Avery, Rylee, Lydia, Piper, Nevaeh, Olivia\"\ne36312,2020/09/24,lunch,pasta,\"Emily, Kayden\"\ne36313,2020/09/24,dinner,pasta,\"Benjamin, Avery, Jackson\"\ne36320,2020/09/25,breakfast,pancakes,\"Andrew, Emily\"\ne36321,2020/09/25,lunch,sushi,Jackson\ne36322,2020/09/25,dinner,pasta,\"Kayden, Carter\"\ne36329,2020/09/26,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Emily, Andrew\"\ne36330,2020/09/26,lunch,sandwich,\"Andrew, Kayden, Emily\"\ne36331,2020/09/26,dinner,tacos,\"Andrew, Emily, Carter\"\ne36338,2020/09/27,breakfast,toast and cheese,\ne36339,2020/09/27,lunch,chinese food,\"Carter, Kayden, Andrew, Emily\"\ne36340,2020/09/27,dinner,pasta,\ne36348,2020/09/28,breakfast,toast and cheese,\ne36349,2020/09/28,lunch,sandwich,\ne36350,2020/09/28,dinner,sandwich,\"Hazel, Eva, Piper, Lydia, Claire, Rylee, Avery, Nora, Kinsley, Piper, Layla\"\ne36357,2020/09/29,breakfast,cereals,\ne36358,2020/09/29,lunch,sushi,\"Kayden, Carter\"\ne36359,2020/09/29,dinner,indian food,\ne36365,2020/09/30,breakfast,oatmeal,\ne36366,2020/09/30,lunch,chinese food,\ne36367,2020/09/30,dinner,sandwich,\ne36374,2020/10/01,breakfast,oatmeal,\ne36375,2020/10/01,lunch,steak,\ne36376,2020/10/01,dinner,a burger,Jackson\ne36383,2020/10/02,breakfast,\"eggs, sausages, and bread\",\"Nevaeh, Nora, Claire, Eva, Olivia, Layla, Piper\"\ne36384,2020/10/02,lunch,tacos,\ne36385,2020/10/02,dinner,sushi,\ne36392,2020/10/03,breakfast,cereals,\ne36393,2020/10/03,lunch,pasta,\ne36394,2020/10/03,dinner,tacos,\ne36399,2020/10/04,breakfast,oatmeal,\ne36400,2020/10/04,lunch,chinese food,Carter\ne36401,2020/10/04,dinner,chinese food,\ne36406,2020/10/05,breakfast,peanut-butter-jam,Claire\ne36407,2020/10/05,lunch,indian food,Andrew\ne36408,2020/10/05,dinner,sandwich,\"Claire, Nora, Avery, Lydia, Layla, Nevaeh, Hazel, Kinsley, Rylee, Eva, Olivia, Piper, Piper\"\ne36414,2020/10/06,breakfast,peanut-butter-jam,\ne36415,2020/10/06,lunch,indian food,\ne36416,2020/10/06,dinner,pasta,\ne36424,2020/10/07,breakfast,\"eggs, sausages, and bread\",\ne36425,2020/10/07,lunch,a burger,\ne36426,2020/10/07,dinner,tacos,\ne36432,2020/10/08,breakfast,\"eggs, sausages, and bread\",\ne36433,2020/10/08,lunch,sushi,Avery\ne36434,2020/10/08,dinner,fish and chips,\ne36440,2020/10/09,breakfast,\"eggs, sausages, and bread\",\ne36441,2020/10/09,lunch,tacos,\ne36442,2020/10/09,dinner,a burger,\ne36448,2020/10/10,breakfast,pancakes,\ne36449,2020/10/10,lunch,indian food,\ne36450,2020/10/10,dinner,steak,\ne36457,2020/10/11,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden\"\ne36458,2020/10/11,lunch,pasta,\"Willow, Jackson, Benjamin, Avery\"\ne36459,2020/10/11,dinner,indian food,\ne36467,2020/10/12,breakfast,peanut-butter-jam,\ne36468,2020/10/12,lunch,sandwich,\ne36469,2020/10/12,dinner,a burger,\"Kayden, Carter, Andrew\"\ne36477,2020/10/13,breakfast,peanut-butter-jam,\ne36478,2020/10/13,lunch,chinese food,\"Emily, Carter, Andrew, Kayden\"\ne36479,2020/10/13,dinner,a burger,\ne36485,2020/10/14,breakfast,peanut-butter-jam,\"Carter, Andrew, Emily\"\ne36486,2020/10/14,lunch,steak,Emily\ne36487,2020/10/14,dinner,indian food,\ne36494,2020/10/15,breakfast,peanut-butter-jam,\"Benjamin, Avery, Jackson, Willow\"\ne36495,2020/10/15,lunch,sandwich,\"Claire, Eva, Lydia, Nora, Piper, Kinsley, Piper\"\ne36496,2020/10/15,dinner,sandwich,Kayden\ne36503,2020/10/16,breakfast,cereals,\ne36504,2020/10/16,lunch,chinese food,\"Emily, Andrew\"\ne36505,2020/10/16,dinner,steak,\ne36512,2020/10/17,breakfast,oatmeal,\ne36513,2020/10/17,lunch,indian food,\ne36514,2020/10/17,dinner,sushi,\ne36522,2020/10/18,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew, Carter, Emily\"\ne36523,2020/10/18,lunch,sushi,\ne36524,2020/10/18,dinner,fish and chips,\ne36530,2020/10/19,breakfast,\"eggs, sausages, and bread\",\ne36531,2020/10/19,lunch,sandwich,\ne36532,2020/10/19,dinner,indian food,\ne36540,2020/10/20,breakfast,peanut-butter-jam,\ne36541,2020/10/20,lunch,a burger,\ne36542,2020/10/20,dinner,indian food,\ne36548,2020/10/21,breakfast,oatmeal,\ne36549,2020/10/21,lunch,sandwich,Emily\ne36550,2020/10/21,dinner,steak,\ne36558,2020/10/22,breakfast,cereals,\"Claire, Piper, Kinsley, Eva, Nevaeh, Lydia, Rylee, Piper\"\ne36559,2020/10/22,lunch,a burger,\ne36560,2020/10/22,dinner,pasta,\ne36568,2020/10/23,breakfast,cereals,\"Andrew, Carter, Emily\"\ne36569,2020/10/23,lunch,sandwich,\"Olivia, Rylee, Piper, Hazel, Kinsley, Avery, Piper\"\ne36570,2020/10/23,dinner,tacos,\ne36577,2020/10/24,breakfast,\"eggs, sausages, and bread\",Emily\ne36578,2020/10/24,lunch,steak,\ne36579,2020/10/24,dinner,sushi,Carter\ne36587,2020/10/25,breakfast,oatmeal,\"Benjamin, Willow\"\ne36588,2020/10/25,lunch,fish and chips,\ne36589,2020/10/25,dinner,pasta,\ne36595,2020/10/26,breakfast,pancakes,\ne36596,2020/10/26,lunch,pasta,\"Andrew, Carter, Kayden\"\ne36597,2020/10/26,dinner,sushi,\"Jackson, Willow, Benjamin, Avery\"\ne36605,2020/10/27,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter\"\ne36606,2020/10/27,lunch,tacos,\"Jackson, Avery, Willow\"\ne36607,2020/10/27,dinner,chinese food,\ne36614,2020/10/28,breakfast,peanut-butter-jam,\"Andrew, Kayden, Carter, Emily\"\ne36615,2020/10/28,lunch,indian food,\"Emily, Carter, Andrew\"\ne36616,2020/10/28,dinner,tacos,\ne36622,2020/10/29,breakfast,peanut-butter-jam,\"Carter, Kayden, Emily\"\ne36623,2020/10/29,lunch,fish and chips,\"Piper, Nevaeh, Olivia, Avery\"\ne36624,2020/10/29,dinner,pasta,Carter\ne36631,2020/10/30,breakfast,\"eggs, sausages, and bread\",\ne36632,2020/10/30,lunch,a burger,\ne36633,2020/10/30,dinner,tacos,\"Andrew, Carter\"\ne36640,2020/10/31,breakfast,toast and cheese,\ne36641,2020/10/31,lunch,steak,\"Carter, Kayden, Andrew\"\ne36642,2020/10/31,dinner,pasta,\ne36649,2020/11/01,breakfast,oatmeal,\"Emily, Carter, Kayden\"\ne36650,2020/11/01,lunch,sushi,\"Andrew, Kayden\"\ne36651,2020/11/01,dinner,tacos,\ne36658,2020/11/02,breakfast,toast and cheese,\"Carter, Emily, Kayden, Andrew\"\ne36659,2020/11/02,lunch,a burger,\ne36660,2020/11/02,dinner,sushi,\"Hazel, Piper, Piper, Nevaeh, Avery, Layla, Kinsley, Eva\"\ne36667,2020/11/03,breakfast,cereals,\ne36668,2020/11/03,lunch,tacos,Andrew\ne36669,2020/11/03,dinner,pasta,\"Carter, Kayden, Emily, Andrew\"\ne36677,2020/11/04,breakfast,pancakes,\ne36678,2020/11/04,lunch,tacos,\ne36679,2020/11/04,dinner,chinese food,\ne36687,2020/11/05,breakfast,toast and cheese,\"Andrew, Carter, Kayden, Emily\"\ne36688,2020/11/05,lunch,sushi,\"Emily, Carter\"\ne36689,2020/11/05,dinner,fish and chips,\"Willow, Benjamin, Avery\"\ne36696,2020/11/06,breakfast,pancakes,\"Nora, Lydia, Hazel, Nevaeh, Layla, Eva, Claire, Kinsley, Rylee\"\ne36697,2020/11/06,lunch,tacos,\"Piper, Piper, Lydia, Eva, Avery, Hazel, Layla\"\ne36698,2020/11/06,dinner,indian food,\ne36704,2020/11/07,breakfast,\"eggs, sausages, and bread\",\ne36705,2020/11/07,lunch,pasta,\ne36706,2020/11/07,dinner,tacos,\ne36714,2020/11/08,breakfast,toast and cheese,\ne36715,2020/11/08,lunch,indian food,\"Rylee, Lydia, Nora, Kinsley, Claire, Piper, Avery, Piper, Olivia\"\ne36716,2020/11/08,dinner,steak,\"Andrew, Kayden, Carter\"\ne36723,2020/11/09,breakfast,cereals,\ne36724,2020/11/09,lunch,pasta,\ne36725,2020/11/09,dinner,indian food,\"Andrew, Kayden, Emily, Carter\"\ne36732,2020/11/10,breakfast,\"eggs, sausages, and bread\",\ne36733,2020/11/10,lunch,tacos,\ne36734,2020/11/10,dinner,steak,\ne36741,2020/11/11,breakfast,pancakes,\ne36742,2020/11/11,lunch,sandwich,\ne36743,2020/11/11,dinner,tacos,\"Andrew, Emily, Carter\"\ne36750,2020/11/12,breakfast,cereals,\ne36751,2020/11/12,lunch,steak,\ne36752,2020/11/12,dinner,a burger,\ne36758,2020/11/13,breakfast,peanut-butter-jam,\ne36759,2020/11/13,lunch,chinese food,\ne36760,2020/11/13,dinner,pasta,\ne36765,2020/11/14,breakfast,pancakes,\"Piper, Rylee, Layla, Eva, Nora, Olivia, Lydia\"\ne36766,2020/11/14,lunch,indian food,\ne36767,2020/11/14,dinner,a burger,\"Kayden, Andrew, Carter, Emily\"\ne36774,2020/11/15,breakfast,toast and cheese,\ne36775,2020/11/15,lunch,tacos,Carter\ne36776,2020/11/15,dinner,tacos,\ne36784,2020/11/16,breakfast,oatmeal,\"Carter, Andrew, Kayden, Emily\"\ne36785,2020/11/16,lunch,chinese food,\"Andrew, Emily, Carter\"\ne36786,2020/11/16,dinner,indian food,\ne36793,2020/11/17,breakfast,cereals,\ne36794,2020/11/17,lunch,indian food,Kayden\ne36795,2020/11/17,dinner,sushi,\ne36801,2020/11/18,breakfast,toast and cheese,\"Hazel, Lydia, Piper\"\ne36802,2020/11/18,lunch,sushi,\ne36803,2020/11/18,dinner,chinese food,\ne36810,2020/11/19,breakfast,oatmeal,\ne36811,2020/11/19,lunch,sandwich,\ne36812,2020/11/19,dinner,sushi,\"Kayden, Emily\"\ne36819,2020/11/20,breakfast,cereals,\ne36820,2020/11/20,lunch,tacos,\ne36821,2020/11/20,dinner,sandwich,\ne36827,2020/11/21,breakfast,\"eggs, sausages, and bread\",\ne36828,2020/11/21,lunch,fish and chips,\ne36829,2020/11/21,dinner,chinese food,\ne36836,2020/11/22,breakfast,cereals,\"Hazel, Nora, Olivia, Avery, Nevaeh, Rylee\"\ne36837,2020/11/22,lunch,pasta,\"Layla, Nevaeh, Piper, Lydia, Olivia, Hazel, Eva, Avery, Kinsley, Claire\"\ne36838,2020/11/22,dinner,chinese food,Willow\ne36846,2020/11/23,breakfast,cereals,\ne36847,2020/11/23,lunch,chinese food,\ne36848,2020/11/23,dinner,pasta,\ne36855,2020/11/24,breakfast,oatmeal,\ne36856,2020/11/24,lunch,indian food,\"Avery, Piper, Kinsley, Nora, Layla, Eva\"\ne36857,2020/11/24,dinner,sushi,\ne36864,2020/11/25,breakfast,peanut-butter-jam,\"Andrew, Carter, Kayden, Emily\"\ne36865,2020/11/25,lunch,indian food,\"Piper, Olivia, Piper, Lydia\"\ne36866,2020/11/25,dinner,chinese food,\ne36872,2020/11/26,breakfast,peanut-butter-jam,\"Kayden, Andrew, Emily, Carter\"\ne36873,2020/11/26,lunch,tacos,Jackson\ne36874,2020/11/26,dinner,a burger,\"Nevaeh, Lydia, Hazel, Claire, Olivia, Piper, Nora, Piper\"\ne36880,2020/11/27,breakfast,oatmeal,\ne36881,2020/11/27,lunch,a burger,\"Piper, Claire, Lydia, Layla, Rylee, Kinsley, Nevaeh\"\ne36882,2020/11/27,dinner,steak,\ne36890,2020/11/28,breakfast,peanut-butter-jam,\"Nora, Hazel, Rylee, Avery, Claire, Olivia, Piper, Kinsley\"\ne36891,2020/11/28,lunch,sandwich,\ne36892,2020/11/28,dinner,chinese food,\ne36899,2020/11/29,breakfast,pancakes,\ne36900,2020/11/29,lunch,steak,\ne36901,2020/11/29,dinner,fish and chips,\ne36908,2020/11/30,breakfast,cereals,Carter\ne36909,2020/11/30,lunch,tacos,\ne36910,2020/11/30,dinner,chinese food,\"Layla, Rylee, Olivia, Nora, Avery, Claire, Hazel, Lydia, Piper\"\ne36917,2020/12/01,breakfast,toast and cheese,\"Emily, Kayden\"\ne36918,2020/12/01,lunch,a burger,\ne36919,2020/12/01,dinner,sandwich,\"Kayden, Emily, Carter\"\ne36926,2020/12/02,breakfast,toast and cheese,\"Emily, Andrew, Kayden, Carter\"\ne36927,2020/12/02,lunch,indian food,\ne36928,2020/12/02,dinner,sushi,\ne36935,2020/12/03,breakfast,cereals,\ne36936,2020/12/03,lunch,a burger,\ne36937,2020/12/03,dinner,steak,\"Kayden, Emily, Carter, Andrew\"\ne36944,2020/12/04,breakfast,toast and cheese,\ne36945,2020/12/04,lunch,sandwich,\ne36946,2020/12/04,dinner,sandwich,Piper\ne36954,2020/12/05,breakfast,peanut-butter-jam,\ne36955,2020/12/05,lunch,tacos,\ne36956,2020/12/05,dinner,steak,\ne36963,2020/12/06,breakfast,\"eggs, sausages, and bread\",\"Willow, Benjamin, Avery\"\ne36964,2020/12/06,lunch,indian food,\ne36965,2020/12/06,dinner,a burger,\ne36972,2020/12/07,breakfast,oatmeal,\"Willow, Jackson, Benjamin, Avery\"\ne36973,2020/12/07,lunch,fish and chips,\"Piper, Kinsley, Nevaeh, Hazel, Eva, Piper, Lydia, Olivia, Claire\"\ne36974,2020/12/07,dinner,sandwich,\ne36981,2020/12/08,breakfast,oatmeal,\ne36982,2020/12/08,lunch,tacos,\ne36983,2020/12/08,dinner,a burger,Nora\ne36990,2020/12/09,breakfast,toast and cheese,\"Kayden, Carter\"\ne36991,2020/12/09,lunch,sandwich,\"Kayden, Carter, Emily\"\ne36992,2020/12/09,dinner,indian food,\ne36999,2020/12/10,breakfast,peanut-butter-jam,\ne37000,2020/12/10,lunch,indian food,\ne37001,2020/12/10,dinner,chinese food,\"Piper, Rylee, Eva, Hazel, Nevaeh\"\ne37008,2020/12/11,breakfast,pancakes,\"Claire, Layla, Nevaeh, Rylee, Lydia, Eva, Olivia, Avery, Kinsley, Nora\"\ne37009,2020/12/11,lunch,tacos,\ne37010,2020/12/11,dinner,sushi,\ne37017,2020/12/12,breakfast,cereals,\ne37018,2020/12/12,lunch,tacos,\"Piper, Claire\"\ne37019,2020/12/12,dinner,pasta,\ne37025,2020/12/13,breakfast,oatmeal,Andrew\ne37026,2020/12/13,lunch,a burger,\ne37027,2020/12/13,dinner,pasta,\"Eva, Layla, Nevaeh, Piper, Hazel, Piper, Rylee, Claire, Kinsley, Nora\"\ne37034,2020/12/14,breakfast,cereals,\"Avery, Nevaeh, Nora, Hazel, Olivia, Rylee, Lydia, Eva, Layla\"\ne37035,2020/12/14,lunch,a burger,\ne37036,2020/12/14,dinner,indian food,\"Andrew, Carter\"\ne37043,2020/12/15,breakfast,oatmeal,\ne37044,2020/12/15,lunch,a burger,\"Claire, Kinsley, Nevaeh, Hazel, Rylee, Piper\"\ne37045,2020/12/15,dinner,sandwich,\"Carter, Kayden\"\ne37052,2020/12/16,breakfast,peanut-butter-jam,\"Lydia, Piper, Claire, Hazel, Layla, Avery, Kinsley, Eva, Nevaeh, Nora\"\ne37053,2020/12/16,lunch,tacos,\ne37054,2020/12/16,dinner,fish and chips,\"Benjamin, Jackson\"\ne37059,2020/12/17,breakfast,peanut-butter-jam,\ne37060,2020/12/17,lunch,a burger,\ne37061,2020/12/17,dinner,fish and chips,\ne37067,2020/12/18,breakfast,pancakes,\ne37068,2020/12/18,lunch,indian food,\"Kayden, Andrew, Carter, Emily\"\ne37069,2020/12/18,dinner,sushi,\ne37076,2020/12/19,breakfast,toast and cheese,\ne37077,2020/12/19,lunch,sushi,\ne37078,2020/12/19,dinner,indian food,\"Nevaeh, Lydia, Piper, Rylee, Kinsley, Piper, Layla, Hazel, Eva\"\ne37084,2020/12/20,breakfast,\"eggs, sausages, and bread\",\ne37085,2020/12/20,lunch,sushi,\"Eva, Lydia, Piper, Nevaeh\"\ne37086,2020/12/20,dinner,pasta,\"Avery, Nora, Eva, Piper, Piper, Nevaeh, Claire\"\ne37092,2020/12/21,breakfast,\"eggs, sausages, and bread\",\ne37093,2020/12/21,lunch,steak,\"Carter, Kayden, Emily, Andrew\"\ne37094,2020/12/21,dinner,chinese food,\"Benjamin, Jackson\"\ne37102,2020/12/22,breakfast,oatmeal,\"Emily, Kayden\"\ne37103,2020/12/22,lunch,steak,\ne37104,2020/12/22,dinner,sandwich,\"Emily, Carter\"\ne37111,2020/12/23,breakfast,\"eggs, sausages, and bread\",\"Claire, Eva, Avery, Nora, Lydia, Olivia, Piper\"\ne37112,2020/12/23,lunch,fish and chips,\"Piper, Eva, Layla, Nora, Olivia, Rylee, Hazel, Claire, Lydia, Kinsley, Nevaeh, Avery\"\ne37113,2020/12/23,dinner,fish and chips,\"Carter, Emily\"\ne37121,2020/12/24,breakfast,toast and cheese,\"Claire, Eva, Olivia, Layla, Nevaeh, Avery, Hazel, Kinsley, Rylee, Lydia, Piper\"\ne37122,2020/12/24,lunch,chinese food,\ne37123,2020/12/24,dinner,sandwich,Benjamin\ne37130,2020/12/25,breakfast,oatmeal,\"Jackson, Willow, Benjamin\"\ne37131,2020/12/25,lunch,tacos,\"Benjamin, Avery, Jackson\"\ne37132,2020/12/25,dinner,sandwich,\ne37138,2020/12/26,breakfast,toast and cheese,\"Nevaeh, Olivia, Piper, Piper, Eva, Claire, Nora, Rylee, Hazel\"\ne37139,2020/12/26,lunch,chinese food,\"Olivia, Layla, Kinsley, Nevaeh, Nora, Claire, Piper\"\ne37140,2020/12/26,dinner,fish and chips,\"Jackson, Avery\"\ne37147,2020/12/27,breakfast,peanut-butter-jam,Andrew\ne37148,2020/12/27,lunch,a burger,\ne37149,2020/12/27,dinner,chinese food,\ne37155,2020/12/28,breakfast,\"eggs, sausages, and bread\",\ne37156,2020/12/28,lunch,sandwich,\"Willow, Jackson\"\ne37157,2020/12/28,dinner,fish and chips,\"Kayden, Carter, Andrew\"\ne37164,2020/12/29,breakfast,pancakes,\ne37165,2020/12/29,lunch,fish and chips,\"Carter, Emily\"\ne37166,2020/12/29,dinner,a burger,\"Kayden, Andrew, Emily, Carter\"\ne37173,2020/12/30,breakfast,peanut-butter-jam,\ne37174,2020/12/30,lunch,a burger,\ne37175,2020/12/30,dinner,steak,\ne37181,2020/12/31,breakfast,cereals,Carter\ne37182,2020/12/31,lunch,indian food,\"Benjamin, Avery\"\ne37183,2020/12/31,dinner,sandwich,\"Willow, Benjamin\"\ne37396,2021/01/01,breakfast,cereals,\"Emily, Kayden\"\ne37397,2021/01/01,lunch,sushi,\"Carter, Emily, Andrew, Kayden\"\ne37398,2021/01/01,dinner,sandwich,\ne37403,2021/01/02,breakfast,\"eggs, sausages, and bread\",\"Andrew, Carter, Emily, Kayden\"\ne37404,2021/01/02,lunch,tacos,\"Piper, Lydia, Piper, Eva, Olivia\"\ne37405,2021/01/02,dinner,steak,\ne37410,2021/01/03,breakfast,peanut-butter-jam,\ne37411,2021/01/03,lunch,sushi,\ne37412,2021/01/03,dinner,a burger,\"Kayden, Andrew, Emily\"\ne37419,2021/01/04,breakfast,pancakes,\ne37420,2021/01/04,lunch,a burger,\ne37421,2021/01/04,dinner,indian food,Emily\ne37427,2021/01/05,breakfast,peanut-butter-jam,\"Rylee, Olivia, Piper\"\ne37428,2021/01/05,lunch,a burger,\"Eva, Layla, Nevaeh, Lydia, Avery, Olivia\"\ne37429,2021/01/05,dinner,sushi,\ne37436,2021/01/06,breakfast,oatmeal,\ne37437,2021/01/06,lunch,tacos,\ne37438,2021/01/06,dinner,sandwich,\"Carter, Andrew, Emily, Kayden\"\ne37445,2021/01/07,breakfast,\"eggs, sausages, and bread\",\ne37446,2021/01/07,lunch,sandwich,\ne37447,2021/01/07,dinner,a burger,\ne37452,2021/01/08,breakfast,toast and cheese,\"Lydia, Avery, Nora, Layla, Eva, Olivia, Nevaeh\"\ne37453,2021/01/08,lunch,fish and chips,\ne37454,2021/01/08,dinner,sandwich,\"Nevaeh, Nora, Lydia, Eva, Layla, Claire, Piper, Kinsley, Piper, Rylee, Hazel\"\ne37460,2021/01/09,breakfast,pancakes,\ne37461,2021/01/09,lunch,tacos,\"Kayden, Carter, Emily, Andrew\"\ne37462,2021/01/09,dinner,sandwich,\ne37469,2021/01/10,breakfast,peanut-butter-jam,\ne37470,2021/01/10,lunch,sushi,Benjamin\ne37471,2021/01/10,dinner,indian food,\ne37476,2021/01/11,breakfast,\"eggs, sausages, and bread\",\ne37477,2021/01/11,lunch,sushi,\"Jackson, Avery, Willow, Benjamin\"\ne37478,2021/01/11,dinner,indian food,\ne37484,2021/01/12,breakfast,toast and cheese,\ne37485,2021/01/12,lunch,pasta,\ne37486,2021/01/12,dinner,steak,\ne37491,2021/01/13,breakfast,oatmeal,\ne37492,2021/01/13,lunch,sushi,\ne37493,2021/01/13,dinner,a burger,\ne37499,2021/01/14,breakfast,cereals,\ne37500,2021/01/14,lunch,fish and chips,\ne37501,2021/01/14,dinner,pasta,\ne37508,2021/01/15,breakfast,oatmeal,\"Piper, Avery, Lydia, Rylee, Nora, Eva\"\ne37509,2021/01/15,lunch,tacos,\ne37510,2021/01/15,dinner,chinese food,\ne37515,2021/01/16,breakfast,pancakes,\ne37516,2021/01/16,lunch,sandwich,\ne37517,2021/01/16,dinner,steak,\"Claire, Piper, Nora\"\ne37523,2021/01/17,breakfast,oatmeal,\"Emily, Andrew, Kayden, Carter\"\ne37524,2021/01/17,lunch,steak,\ne37525,2021/01/17,dinner,fish and chips,Andrew\ne37532,2021/01/18,breakfast,oatmeal,\ne37533,2021/01/18,lunch,tacos,\ne37534,2021/01/18,dinner,a burger,\"Jackson, Benjamin, Avery\"\ne37542,2021/01/19,breakfast,oatmeal,Olivia\ne37543,2021/01/19,lunch,sandwich,\ne37544,2021/01/19,dinner,indian food,\"Andrew, Carter\"\ne37550,2021/01/20,breakfast,\"eggs, sausages, and bread\",\ne37551,2021/01/20,lunch,tacos,\ne37552,2021/01/20,dinner,tacos,Emily\ne37558,2021/01/21,breakfast,\"eggs, sausages, and bread\",\"Piper, Lydia, Rylee, Eva, Nevaeh\"\ne37559,2021/01/21,lunch,tacos,\ne37560,2021/01/21,dinner,fish and chips,Carter\ne37566,2021/01/22,breakfast,peanut-butter-jam,\ne37567,2021/01/22,lunch,tacos,\ne37568,2021/01/22,dinner,sandwich,\"Carter, Andrew, Kayden, Emily\"\ne37575,2021/01/23,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden, Carter\"\ne37576,2021/01/23,lunch,a burger,\ne37577,2021/01/23,dinner,a burger,\ne37584,2021/01/24,breakfast,pancakes,\"Kayden, Andrew, Carter\"\ne37585,2021/01/24,lunch,pasta,\"Andrew, Kayden, Emily\"\ne37586,2021/01/24,dinner,a burger,\"Piper, Nevaeh, Hazel, Claire, Eva, Lydia, Layla\"\ne37593,2021/01/25,breakfast,peanut-butter-jam,\"Jackson, Willow, Benjamin\"\ne37594,2021/01/25,lunch,fish and chips,\"Jackson, Avery, Benjamin, Willow\"\ne37595,2021/01/25,dinner,fish and chips,\ne37600,2021/01/26,breakfast,\"eggs, sausages, and bread\",\ne37601,2021/01/26,lunch,a burger,\"Kayden, Andrew, Carter\"\ne37602,2021/01/26,dinner,sandwich,\ne37609,2021/01/27,breakfast,cereals,\ne37610,2021/01/27,lunch,pasta,Andrew\ne37611,2021/01/27,dinner,a burger,\ne37617,2021/01/28,breakfast,\"eggs, sausages, and bread\",Andrew\ne37618,2021/01/28,lunch,sandwich,\ne37619,2021/01/28,dinner,pasta,\ne37627,2021/01/29,breakfast,\"eggs, sausages, and bread\",\ne37628,2021/01/29,lunch,fish and chips,\ne37629,2021/01/29,dinner,sushi,\ne37636,2021/01/30,breakfast,pancakes,\ne37637,2021/01/30,lunch,steak,\"Carter, Andrew, Emily, Kayden\"\ne37638,2021/01/30,dinner,fish and chips,\"Claire, Olivia, Layla, Kinsley, Nora, Lydia, Nevaeh\"\ne37646,2021/01/31,breakfast,pancakes,\ne37647,2021/01/31,lunch,a burger,\"Eva, Rylee, Piper, Hazel, Claire\"\ne37648,2021/01/31,dinner,tacos,\"Kayden, Carter, Andrew, Emily\"\ne37653,2021/02/01,breakfast,\"eggs, sausages, and bread\",\ne37654,2021/02/01,lunch,indian food,Emily\ne37655,2021/02/01,dinner,indian food,\ne37660,2021/02/02,breakfast,cereals,\"Nevaeh, Kinsley, Eva, Rylee, Lydia, Layla, Piper, Hazel\"\ne37661,2021/02/02,lunch,indian food,\"Kayden, Carter, Emily, Andrew\"\ne37662,2021/02/02,dinner,sushi,\"Nora, Lydia, Olivia\"\ne37669,2021/02/03,breakfast,oatmeal,\"Kayden, Emily, Andrew, Carter\"\ne37670,2021/02/03,lunch,indian food,\ne37671,2021/02/03,dinner,fish and chips,\ne37678,2021/02/04,breakfast,peanut-butter-jam,\ne37679,2021/02/04,lunch,fish and chips,\"Kayden, Emily, Andrew\"\ne37680,2021/02/04,dinner,sushi,\ne37686,2021/02/05,breakfast,oatmeal,\"Willow, Jackson\"\ne37687,2021/02/05,lunch,indian food,\ne37688,2021/02/05,dinner,a burger,\ne37695,2021/02/06,breakfast,pancakes,\ne37696,2021/02/06,lunch,sushi,\ne37697,2021/02/06,dinner,indian food,\ne37704,2021/02/07,breakfast,toast and cheese,\"Andrew, Emily, Carter, Kayden\"\ne37705,2021/02/07,lunch,a burger,\ne37706,2021/02/07,dinner,fish and chips,Willow\ne37713,2021/02/08,breakfast,cereals,\"Andrew, Carter, Emily, Kayden\"\ne37714,2021/02/08,lunch,sushi,\ne37715,2021/02/08,dinner,chinese food,\ne37723,2021/02/09,breakfast,oatmeal,\ne37724,2021/02/09,lunch,fish and chips,\"Kayden, Andrew, Emily\"\ne37725,2021/02/09,dinner,fish and chips,Carter\ne37733,2021/02/10,breakfast,pancakes,\"Jackson, Avery\"\ne37734,2021/02/10,lunch,steak,\"Emily, Carter\"\ne37735,2021/02/10,dinner,a burger,\"Layla, Hazel, Olivia, Avery, Piper, Eva, Kinsley, Piper, Nevaeh\"\ne37741,2021/02/11,breakfast,toast and cheese,\"Emily, Kayden, Andrew\"\ne37742,2021/02/11,lunch,indian food,\ne37743,2021/02/11,dinner,a burger,\"Olivia, Claire, Piper, Avery, Nora, Kinsley, Rylee, Nevaeh, Hazel, Piper, Lydia\"\ne37747,2021/02/12,breakfast,peanut-butter-jam,\ne37748,2021/02/12,lunch,steak,\ne37749,2021/02/12,dinner,sushi,\ne37755,2021/02/13,breakfast,peanut-butter-jam,\ne37756,2021/02/13,lunch,sandwich,\ne37757,2021/02/13,dinner,pasta,\"Jackson, Benjamin, Avery, Willow\"\ne37763,2021/02/14,breakfast,toast and cheese,\ne37764,2021/02/14,lunch,sushi,\ne37765,2021/02/14,dinner,steak,\ne37772,2021/02/15,breakfast,oatmeal,\ne37773,2021/02/15,lunch,indian food,\ne37774,2021/02/15,dinner,indian food,Emily\ne37781,2021/02/16,breakfast,\"eggs, sausages, and bread\",\"Rylee, Lydia, Piper\"\ne37782,2021/02/16,lunch,sushi,\ne37783,2021/02/16,dinner,chinese food,\"Andrew, Emily\"\ne37789,2021/02/17,breakfast,pancakes,\"Kayden, Andrew, Carter\"\ne37790,2021/02/17,lunch,sandwich,\"Claire, Nevaeh, Eva, Piper, Hazel, Avery, Lydia, Kinsley, Layla, Nora, Rylee, Olivia, Piper\"\ne37791,2021/02/17,dinner,pasta,\ne37798,2021/02/18,breakfast,peanut-butter-jam,\ne37799,2021/02/18,lunch,sandwich,\"Carter, Andrew\"\ne37800,2021/02/18,dinner,sushi,\ne37807,2021/02/19,breakfast,oatmeal,\"Andrew, Kayden\"\ne37808,2021/02/19,lunch,sandwich,Olivia\ne37809,2021/02/19,dinner,tacos,\"Andrew, Emily, Kayden, Carter\"\ne37814,2021/02/20,breakfast,pancakes,Carter\ne37815,2021/02/20,lunch,steak,\ne37816,2021/02/20,dinner,a burger,\"Carter, Kayden\"\ne37822,2021/02/21,breakfast,toast and cheese,\ne37823,2021/02/21,lunch,tacos,\ne37824,2021/02/21,dinner,chinese food,\ne37830,2021/02/22,breakfast,oatmeal,Carter\ne37831,2021/02/22,lunch,a burger,\ne37832,2021/02/22,dinner,pasta,\ne37839,2021/02/23,breakfast,cereals,\ne37840,2021/02/23,lunch,a burger,\ne37841,2021/02/23,dinner,a burger,\ne37848,2021/02/24,breakfast,peanut-butter-jam,Andrew\ne37849,2021/02/24,lunch,chinese food,\ne37850,2021/02/24,dinner,steak,Jackson\ne37857,2021/02/25,breakfast,cereals,\"Layla, Piper, Lydia, Hazel, Avery, Eva, Nora\"\ne37858,2021/02/25,lunch,a burger,\ne37859,2021/02/25,dinner,steak,\ne37865,2021/02/26,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Kayden, Andrew\"\ne37866,2021/02/26,lunch,sushi,\ne37867,2021/02/26,dinner,chinese food,\ne37875,2021/02/27,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily\"\ne37876,2021/02/27,lunch,fish and chips,\ne37877,2021/02/27,dinner,chinese food,\ne37884,2021/02/28,breakfast,toast and cheese,\ne37885,2021/02/28,lunch,pasta,\ne37886,2021/02/28,dinner,pasta,\"Avery, Benjamin, Willow, Jackson\"\ne37892,2021/03/01,breakfast,oatmeal,\ne37893,2021/03/01,lunch,fish and chips,\ne37894,2021/03/01,dinner,indian food,\ne37901,2021/03/02,breakfast,oatmeal,\"Kayden, Andrew, Emily, Carter\"\ne37902,2021/03/02,lunch,sandwich,\ne37903,2021/03/02,dinner,chinese food,\ne37910,2021/03/03,breakfast,oatmeal,\ne37911,2021/03/03,lunch,chinese food,\ne37912,2021/03/03,dinner,fish and chips,\ne37919,2021/03/04,breakfast,oatmeal,\ne37920,2021/03/04,lunch,pasta,\"Carter, Andrew, Emily, Kayden\"\ne37921,2021/03/04,dinner,chinese food,\ne37926,2021/03/05,breakfast,peanut-butter-jam,\"Emily, Carter, Kayden\"\ne37927,2021/03/05,lunch,indian food,\"Kayden, Emily\"\ne37928,2021/03/05,dinner,a burger,\"Lydia, Piper, Nevaeh, Avery, Eva, Hazel, Nora, Kinsley, Claire\"\ne37934,2021/03/06,breakfast,toast and cheese,\"Carter, Kayden, Emily, Andrew\"\ne37935,2021/03/06,lunch,fish and chips,\ne37936,2021/03/06,dinner,fish and chips,\ne37943,2021/03/07,breakfast,oatmeal,\ne37944,2021/03/07,lunch,a burger,\ne37945,2021/03/07,dinner,sandwich,\ne37951,2021/03/08,breakfast,cereals,Olivia\ne37952,2021/03/08,lunch,sandwich,\ne37953,2021/03/08,dinner,fish and chips,\ne37960,2021/03/09,breakfast,\"eggs, sausages, and bread\",\ne37961,2021/03/09,lunch,tacos,\"Benjamin, Avery, Willow, Jackson\"\ne37962,2021/03/09,dinner,sandwich,\"Benjamin, Jackson, Willow\"\ne37970,2021/03/10,breakfast,oatmeal,Kayden\ne37971,2021/03/10,lunch,chinese food,\"Carter, Emily, Kayden\"\ne37972,2021/03/10,dinner,sandwich,\ne37979,2021/03/11,breakfast,\"eggs, sausages, and bread\",\"Andrew, Emily, Kayden\"\ne37980,2021/03/11,lunch,indian food,\ne37981,2021/03/11,dinner,steak,\ne37988,2021/03/12,breakfast,\"eggs, sausages, and bread\",\ne37989,2021/03/12,lunch,steak,\"Andrew, Carter, Kayden, Emily\"\ne37990,2021/03/12,dinner,chinese food,\"Jackson, Willow\"\ne37997,2021/03/13,breakfast,cereals,\ne37998,2021/03/13,lunch,chinese food,Andrew\ne37999,2021/03/13,dinner,indian food,\ne38005,2021/03/14,breakfast,toast and cheese,\ne38006,2021/03/14,lunch,fish and chips,\"Andrew, Carter, Emily, Kayden\"\ne38007,2021/03/14,dinner,sandwich,\ne38013,2021/03/15,breakfast,\"eggs, sausages, and bread\",\ne38014,2021/03/15,lunch,sushi,\ne38015,2021/03/15,dinner,indian food,\ne38020,2021/03/16,breakfast,toast and cheese,\ne38021,2021/03/16,lunch,chinese food,Andrew\ne38022,2021/03/16,dinner,tacos,\ne38028,2021/03/17,breakfast,peanut-butter-jam,\"Claire, Piper, Hazel, Layla, Kinsley, Avery\"\ne38029,2021/03/17,lunch,tacos,\"Emily, Carter\"\ne38030,2021/03/17,dinner,tacos,\"Willow, Jackson\"\ne38035,2021/03/18,breakfast,cereals,\"Kayden, Carter, Andrew, Emily\"\ne38036,2021/03/18,lunch,sushi,Jackson\ne38037,2021/03/18,dinner,sushi,\ne38042,2021/03/19,breakfast,\"eggs, sausages, and bread\",\"Willow, Benjamin, Jackson, Avery\"\ne38043,2021/03/19,lunch,chinese food,\ne38044,2021/03/19,dinner,pasta,\ne38050,2021/03/20,breakfast,\"eggs, sausages, and bread\",\ne38051,2021/03/20,lunch,indian food,\"Emily, Andrew, Kayden, Carter\"\ne38052,2021/03/20,dinner,sushi,Carter\ne38059,2021/03/21,breakfast,cereals,\ne38060,2021/03/21,lunch,steak,\ne38061,2021/03/21,dinner,chinese food,\ne38067,2021/03/22,breakfast,oatmeal,\ne38068,2021/03/22,lunch,steak,\ne38069,2021/03/22,dinner,a burger,\"Eva, Piper, Rylee, Olivia, Piper, Hazel, Avery\"\ne38076,2021/03/23,breakfast,oatmeal,\"Lydia, Nevaeh, Claire, Rylee, Olivia, Eva, Layla, Piper, Nora, Avery, Piper, Hazel, Kinsley\"\ne38077,2021/03/23,lunch,chinese food,\"Layla, Piper, Olivia, Kinsley, Lydia, Rylee, Piper, Claire, Nora, Avery, Hazel, Nevaeh\"\ne38078,2021/03/23,dinner,a burger,\"Kayden, Carter\"\ne38085,2021/03/24,breakfast,\"eggs, sausages, and bread\",\ne38086,2021/03/24,lunch,sushi,\ne38087,2021/03/24,dinner,pasta,\ne38094,2021/03/25,breakfast,cereals,\"Claire, Avery, Lydia, Nevaeh, Kinsley, Eva, Piper, Layla, Nora, Hazel\"\ne38095,2021/03/25,lunch,sushi,\ne38096,2021/03/25,dinner,steak,\ne38103,2021/03/26,breakfast,oatmeal,\"Emily, Andrew, Kayden, Carter\"\ne38104,2021/03/26,lunch,steak,\ne38105,2021/03/26,dinner,sandwich,\ne38109,2021/03/27,breakfast,\"eggs, sausages, and bread\",\ne38110,2021/03/27,lunch,fish and chips,\ne38111,2021/03/27,dinner,tacos,Jackson\ne38116,2021/03/28,breakfast,oatmeal,\ne38117,2021/03/28,lunch,sushi,\ne38118,2021/03/28,dinner,sushi,\ne38124,2021/03/29,breakfast,peanut-butter-jam,\ne38125,2021/03/29,lunch,chinese food,\"Willow, Benjamin\"\ne38126,2021/03/29,dinner,indian food,\ne38134,2021/03/30,breakfast,oatmeal,\ne38135,2021/03/30,lunch,steak,\ne38136,2021/03/30,dinner,fish and chips,\"Piper, Olivia, Lydia, Nora, Kinsley, Rylee, Avery, Piper\"\ne38143,2021/03/31,breakfast,\"eggs, sausages, and bread\",\"Kayden, Emily, Carter, Andrew\"\ne38144,2021/03/31,lunch,pasta,\ne38145,2021/03/31,dinner,sushi,\"Willow, Benjamin, Jackson, Avery\"\ne38150,2021/04/01,breakfast,cereals,\ne38151,2021/04/01,lunch,a burger,\"Layla, Piper, Nora, Hazel, Eva, Rylee, Claire, Kinsley\"\ne38152,2021/04/01,dinner,sushi,Andrew\ne38160,2021/04/02,breakfast,oatmeal,\ne38161,2021/04/02,lunch,steak,\ne38162,2021/04/02,dinner,indian food,\ne38169,2021/04/03,breakfast,oatmeal,\ne38170,2021/04/03,lunch,a burger,\ne38171,2021/04/03,dinner,indian food,Benjamin\ne38176,2021/04/04,breakfast,peanut-butter-jam,\"Nora, Olivia, Eva, Avery, Claire, Kinsley\"\ne38177,2021/04/04,lunch,chinese food,\ne38178,2021/04/04,dinner,steak,\ne38186,2021/04/05,breakfast,cereals,Andrew\ne38187,2021/04/05,lunch,indian food,\ne38188,2021/04/05,dinner,steak,\ne38195,2021/04/06,breakfast,peanut-butter-jam,\ne38196,2021/04/06,lunch,sushi,\ne38197,2021/04/06,dinner,pasta,\"Lydia, Claire, Layla, Rylee, Kinsley\"\ne38203,2021/04/07,breakfast,peanut-butter-jam,\ne38204,2021/04/07,lunch,tacos,\"Kayden, Andrew, Emily\"\ne38205,2021/04/07,dinner,tacos,\ne38212,2021/04/08,breakfast,peanut-butter-jam,\"Rylee, Hazel, Olivia\"\ne38213,2021/04/08,lunch,tacos,\ne38214,2021/04/08,dinner,sushi,\"Eva, Kinsley\"\ne38221,2021/04/09,breakfast,\"eggs, sausages, and bread\",\ne38222,2021/04/09,lunch,sushi,\ne38223,2021/04/09,dinner,sushi,\ne38230,2021/04/10,breakfast,oatmeal,\"Piper, Eva, Avery, Piper, Hazel, Claire, Kinsley, Nora\"\ne38231,2021/04/10,lunch,pasta,\ne38232,2021/04/10,dinner,sushi,\ne38238,2021/04/11,breakfast,toast and cheese,\"Benjamin, Willow, Jackson, Avery\"\ne38239,2021/04/11,lunch,chinese food,\"Willow, Benjamin, Jackson, Avery\"\ne38240,2021/04/11,dinner,pasta,\ne38246,2021/04/12,breakfast,cereals,\ne38247,2021/04/12,lunch,indian food,Carter\ne38248,2021/04/12,dinner,sandwich,\ne38254,2021/04/13,breakfast,peanut-butter-jam,\ne38255,2021/04/13,lunch,a burger,\ne38256,2021/04/13,dinner,tacos,\"Layla, Hazel, Kinsley, Nevaeh, Eva, Lydia, Olivia, Claire, Piper, Nora, Avery\"\ne38262,2021/04/14,breakfast,peanut-butter-jam,\ne38263,2021/04/14,lunch,pasta,\ne38264,2021/04/14,dinner,tacos,\ne38271,2021/04/15,breakfast,pancakes,\ne38272,2021/04/15,lunch,steak,\ne38273,2021/04/15,dinner,steak,\ne38279,2021/04/16,breakfast,pancakes,\"Willow, Benjamin, Jackson, Avery\"\ne38280,2021/04/16,lunch,pasta,Emily\ne38281,2021/04/16,dinner,sandwich,\ne38288,2021/04/17,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Avery, Jackson, Willow\"\ne38289,2021/04/17,lunch,pasta,\"Kayden, Carter\"\ne38290,2021/04/17,dinner,pasta,\ne38298,2021/04/18,breakfast,cereals,Andrew\ne38299,2021/04/18,lunch,sandwich,\ne38300,2021/04/18,dinner,steak,\ne38307,2021/04/19,breakfast,peanut-butter-jam,\"Nevaeh, Claire, Rylee, Layla, Piper, Piper, Eva\"\ne38308,2021/04/19,lunch,steak,\"Piper, Eva, Hazel, Kinsley, Nora, Lydia, Olivia, Avery\"\ne38309,2021/04/19,dinner,tacos,\"Jackson, Benjamin, Avery\"\ne38316,2021/04/20,breakfast,cereals,Willow\ne38317,2021/04/20,lunch,pasta,\ne38318,2021/04/20,dinner,fish and chips,\ne38322,2021/04/21,breakfast,oatmeal,\ne38323,2021/04/21,lunch,indian food,\"Carter, Kayden, Andrew, Emily\"\ne38324,2021/04/21,dinner,indian food,Willow\ne38332,2021/04/22,breakfast,peanut-butter-jam,\"Benjamin, Jackson, Avery, Willow\"\ne38333,2021/04/22,lunch,steak,Carter\ne38334,2021/04/22,dinner,tacos,\ne38340,2021/04/23,breakfast,peanut-butter-jam,\ne38341,2021/04/23,lunch,pasta,\ne38342,2021/04/23,dinner,sandwich,\"Kayden, Andrew\"\ne38350,2021/04/24,breakfast,peanut-butter-jam,\ne38351,2021/04/24,lunch,fish and chips,\ne38352,2021/04/24,dinner,sushi,\ne38358,2021/04/25,breakfast,\"eggs, sausages, and bread\",\"Piper, Nevaeh, Layla, Nora, Kinsley, Hazel\"\ne38359,2021/04/25,lunch,pasta,\ne38360,2021/04/25,dinner,tacos,\ne38366,2021/04/26,breakfast,\"eggs, sausages, and bread\",\"Rylee, Nevaeh, Nora, Piper, Layla\"\ne38367,2021/04/26,lunch,sushi,\ne38368,2021/04/26,dinner,fish and chips,\ne38375,2021/04/27,breakfast,peanut-butter-jam,\ne38376,2021/04/27,lunch,sandwich,\ne38377,2021/04/27,dinner,steak,\ne38383,2021/04/28,breakfast,\"eggs, sausages, and bread\",\ne38384,2021/04/28,lunch,chinese food,\ne38385,2021/04/28,dinner,tacos,\ne38393,2021/04/29,breakfast,oatmeal,\ne38394,2021/04/29,lunch,indian food,\"Andrew, Carter, Kayden\"\ne38395,2021/04/29,dinner,sandwich,Carter\ne38403,2021/04/30,breakfast,oatmeal,\"Nora, Claire, Avery, Rylee, Piper, Hazel\"\ne38404,2021/04/30,lunch,sushi,\ne38405,2021/04/30,dinner,tacos,\"Olivia, Kinsley, Nevaeh, Avery, Hazel, Claire, Eva, Nora, Rylee, Lydia, Piper, Piper, Layla\"\ne38413,2021/05/01,breakfast,toast and cheese,\"Layla, Avery, Eva, Olivia, Nevaeh, Hazel\"\ne38414,2021/05/01,lunch,steak,\ne38415,2021/05/01,dinner,sushi,\ne38422,2021/05/02,breakfast,cereals,\ne38423,2021/05/02,lunch,fish and chips,\"Avery, Willow, Jackson, Benjamin\"\ne38424,2021/05/02,dinner,fish and chips,\"Nevaeh, Claire, Hazel, Kinsley, Layla, Piper, Eva, Nora, Piper, Olivia, Rylee, Avery\"\ne38430,2021/05/03,breakfast,pancakes,\ne38431,2021/05/03,lunch,fish and chips,\ne38432,2021/05/03,dinner,a burger,\"Carter, Andrew\"\ne38438,2021/05/04,breakfast,peanut-butter-jam,Emily\ne38439,2021/05/04,lunch,tacos,\ne38440,2021/05/04,dinner,pasta,\ne38447,2021/05/05,breakfast,\"eggs, sausages, and bread\",\ne38448,2021/05/05,lunch,fish and chips,\ne38449,2021/05/05,dinner,tacos,\ne38456,2021/05/06,breakfast,toast and cheese,\"Andrew, Emily\"\ne38457,2021/05/06,lunch,fish and chips,\"Emily, Kayden, Andrew\"\ne38458,2021/05/06,dinner,fish and chips,\ne38466,2021/05/07,breakfast,peanut-butter-jam,\ne38467,2021/05/07,lunch,sandwich,\ne38468,2021/05/07,dinner,indian food,\ne38476,2021/05/08,breakfast,\"eggs, sausages, and bread\",\ne38477,2021/05/08,lunch,sandwich,Andrew\ne38478,2021/05/08,dinner,fish and chips,\ne38485,2021/05/09,breakfast,pancakes,\"Andrew, Emily, Carter\"\ne38486,2021/05/09,lunch,chinese food,\"Piper, Layla, Hazel, Olivia, Lydia, Piper, Nevaeh, Nora, Eva, Claire, Avery\"\ne38487,2021/05/09,dinner,indian food,\"Kayden, Emily, Carter\"\ne38495,2021/05/10,breakfast,pancakes,\"Olivia, Layla, Avery, Rylee, Eva\"\ne38496,2021/05/10,lunch,sandwich,\"Claire, Avery, Lydia, Hazel, Eva, Rylee, Kinsley, Layla\"\ne38497,2021/05/10,dinner,sushi,\"Hazel, Layla, Nevaeh\"\ne38503,2021/05/11,breakfast,\"eggs, sausages, and bread\",\ne38504,2021/05/11,lunch,sandwich,\ne38505,2021/05/11,dinner,fish and chips,\"Avery, Layla, Rylee, Nevaeh, Kinsley, Lydia, Nora, Eva, Piper\"\ne38512,2021/05/12,breakfast,oatmeal,\"Andrew, Carter, Emily\"\ne38513,2021/05/12,lunch,fish and chips,\"Claire, Piper, Layla, Eva, Kinsley, Olivia, Avery, Nevaeh, Piper, Nora\"\ne38514,2021/05/12,dinner,sandwich,\"Andrew, Kayden, Carter\"\ne38521,2021/05/13,breakfast,\"eggs, sausages, and bread\",\ne38522,2021/05/13,lunch,tacos,\"Kayden, Andrew\"\ne38523,2021/05/13,dinner,sandwich,\"Avery, Layla, Lydia, Piper, Kinsley, Nevaeh\"\ne38531,2021/05/14,breakfast,peanut-butter-jam,\ne38532,2021/05/14,lunch,sushi,Olivia\ne38533,2021/05/14,dinner,a burger,\ne38537,2021/05/15,breakfast,pancakes,\ne38538,2021/05/15,lunch,pasta,Jackson\ne38539,2021/05/15,dinner,steak,\"Hazel, Rylee, Piper, Avery, Piper, Nora, Olivia, Claire\"\ne38546,2021/05/16,breakfast,toast and cheese,\ne38547,2021/05/16,lunch,steak,\ne38548,2021/05/16,dinner,steak,\ne38556,2021/05/17,breakfast,pancakes,Carter\ne38557,2021/05/17,lunch,tacos,\ne38558,2021/05/17,dinner,sandwich,\ne38565,2021/05/18,breakfast,\"eggs, sausages, and bread\",\"Claire, Nora, Avery, Layla, Nevaeh, Hazel, Kinsley, Piper, Olivia, Piper\"\ne38566,2021/05/18,lunch,fish and chips,\"Benjamin, Avery\"\ne38567,2021/05/18,dinner,pasta,\ne38574,2021/05/19,breakfast,\"eggs, sausages, and bread\",\"Jackson, Willow\"\ne38575,2021/05/19,lunch,chinese food,\"Benjamin, Avery, Willow\"\ne38576,2021/05/19,dinner,pasta,\ne38583,2021/05/20,breakfast,cereals,\ne38584,2021/05/20,lunch,chinese food,\ne38585,2021/05/20,dinner,chinese food,\ne38593,2021/05/21,breakfast,toast and cheese,\ne38594,2021/05/21,lunch,a burger,\"Claire, Piper, Piper, Kinsley, Rylee, Olivia, Nora, Eva, Avery, Nevaeh\"\ne38595,2021/05/21,dinner,steak,\ne38601,2021/05/22,breakfast,peanut-butter-jam,\"Piper, Piper, Nora, Claire, Layla, Avery, Kinsley, Olivia, Eva\"\ne38602,2021/05/22,lunch,fish and chips,\ne38603,2021/05/22,dinner,a burger,\ne38610,2021/05/23,breakfast,peanut-butter-jam,\ne38611,2021/05/23,lunch,chinese food,\"Emily, Andrew, Carter\"\ne38612,2021/05/23,dinner,pasta,\"Emily, Andrew, Kayden\"\ne38618,2021/05/24,breakfast,peanut-butter-jam,\"Carter, Emily, Kayden\"\ne38619,2021/05/24,lunch,tacos,\ne38620,2021/05/24,dinner,fish and chips,Emily\ne38627,2021/05/25,breakfast,peanut-butter-jam,Layla\ne38628,2021/05/25,lunch,chinese food,\ne38629,2021/05/25,dinner,steak,\ne38636,2021/05/26,breakfast,toast and cheese,\ne38637,2021/05/26,lunch,chinese food,\"Benjamin, Jackson\"\ne38638,2021/05/26,dinner,tacos,\"Nora, Olivia, Claire, Kinsley, Eva, Rylee, Piper, Avery, Piper\"\ne38645,2021/05/27,breakfast,pancakes,\ne38646,2021/05/27,lunch,fish and chips,\ne38647,2021/05/27,dinner,fish and chips,\ne38654,2021/05/28,breakfast,pancakes,\"Avery, Jackson\"\ne38655,2021/05/28,lunch,tacos,\ne38656,2021/05/28,dinner,a burger,\ne38662,2021/05/29,breakfast,toast and cheese,\ne38663,2021/05/29,lunch,sushi,\ne38664,2021/05/29,dinner,indian food,\ne38671,2021/05/30,breakfast,\"eggs, sausages, and bread\",\ne38672,2021/05/30,lunch,indian food,\ne38673,2021/05/30,dinner,sushi,\ne38680,2021/05/31,breakfast,cereals,\ne38681,2021/05/31,lunch,indian food,\"Eva, Rylee, Piper, Claire, Piper, Nevaeh, Olivia, Hazel\"\ne38682,2021/05/31,dinner,a burger,\ne38689,2021/06/01,breakfast,peanut-butter-jam,Andrew\ne38690,2021/06/01,lunch,pasta,\ne38691,2021/06/01,dinner,sandwich,\ne38697,2021/06/02,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew\"\ne38698,2021/06/02,lunch,pasta,\ne38699,2021/06/02,dinner,sushi,\ne38706,2021/06/03,breakfast,\"eggs, sausages, and bread\",\"Olivia, Piper, Avery, Kinsley, Nora, Lydia, Nevaeh, Layla, Claire\"\ne38707,2021/06/03,lunch,sushi,\"Lydia, Avery, Nevaeh, Hazel\"\ne38708,2021/06/03,dinner,tacos,Andrew\ne38715,2021/06/04,breakfast,oatmeal,\ne38716,2021/06/04,lunch,indian food,\"Kinsley, Piper, Avery, Lydia, Nora, Hazel, Piper\"\ne38717,2021/06/04,dinner,tacos,\ne38724,2021/06/05,breakfast,peanut-butter-jam,\"Andrew, Carter, Emily, Kayden\"\ne38725,2021/06/05,lunch,a burger,\ne38726,2021/06/05,dinner,sushi,\ne38733,2021/06/06,breakfast,cereals,Andrew\ne38734,2021/06/06,lunch,a burger,\"Willow, Benjamin\"\ne38735,2021/06/06,dinner,pasta,\ne38741,2021/06/07,breakfast,\"eggs, sausages, and bread\",\ne38742,2021/06/07,lunch,fish and chips,\ne38743,2021/06/07,dinner,indian food,\"Piper, Olivia, Rylee, Nevaeh, Avery, Piper, Hazel, Layla, Eva, Lydia, Claire, Nora\"\ne38750,2021/06/08,breakfast,pancakes,\"Piper, Claire, Lydia, Piper, Kinsley, Nevaeh, Nora, Layla, Eva\"\ne38751,2021/06/08,lunch,indian food,\"Kayden, Andrew, Emily\"\ne38752,2021/06/08,dinner,fish and chips,\"Jackson, Benjamin, Avery, Willow\"\ne38759,2021/06/09,breakfast,cereals,\ne38760,2021/06/09,lunch,fish and chips,\ne38761,2021/06/09,dinner,a burger,\ne38769,2021/06/10,breakfast,cereals,\ne38770,2021/06/10,lunch,sushi,\ne38771,2021/06/10,dinner,chinese food,Avery\ne38778,2021/06/11,breakfast,pancakes,\ne38779,2021/06/11,lunch,sushi,\ne38780,2021/06/11,dinner,chinese food,\"Piper, Hazel\"\ne38787,2021/06/12,breakfast,oatmeal,Avery\ne38788,2021/06/12,lunch,sandwich,\"Andrew, Emily, Carter, Kayden\"\ne38789,2021/06/12,dinner,sandwich,\ne38797,2021/06/13,breakfast,oatmeal,\"Andrew, Kayden\"\ne38798,2021/06/13,lunch,sandwich,\"Kayden, Carter\"\ne38799,2021/06/13,dinner,indian food,\ne38805,2021/06/14,breakfast,cereals,Emily\ne38806,2021/06/14,lunch,sushi,Andrew\ne38807,2021/06/14,dinner,sandwich,Emily\ne38814,2021/06/15,breakfast,cereals,\"Piper, Claire, Nora, Hazel\"\ne38815,2021/06/15,lunch,fish and chips,\ne38816,2021/06/15,dinner,tacos,\ne38822,2021/06/16,breakfast,\"eggs, sausages, and bread\",\"Andrew, Carter, Kayden\"\ne38823,2021/06/16,lunch,fish and chips,\"Piper, Claire\"\ne38824,2021/06/16,dinner,sushi,\"Eva, Claire, Olivia, Layla, Lydia, Piper, Rylee, Nevaeh, Kinsley\"\ne38831,2021/06/17,breakfast,peanut-butter-jam,\ne38832,2021/06/17,lunch,pasta,\ne38833,2021/06/17,dinner,tacos,\"Layla, Hazel, Nevaeh, Nora, Piper, Eva, Avery, Piper, Kinsley\"\ne38840,2021/06/18,breakfast,pancakes,\ne38841,2021/06/18,lunch,tacos,\"Layla, Avery, Eva, Nora\"\ne38842,2021/06/18,dinner,fish and chips,\ne38849,2021/06/19,breakfast,toast and cheese,\ne38850,2021/06/19,lunch,fish and chips,\ne38851,2021/06/19,dinner,fish and chips,\ne38857,2021/06/20,breakfast,peanut-butter-jam,\ne38858,2021/06/20,lunch,pasta,\ne38859,2021/06/20,dinner,chinese food,\ne38867,2021/06/21,breakfast,pancakes,\ne38868,2021/06/21,lunch,chinese food,\"Kayden, Emily, Andrew, Carter\"\ne38869,2021/06/21,dinner,chinese food,\"Avery, Piper, Rylee, Layla, Hazel, Eva, Nora, Piper, Kinsley, Claire, Nevaeh\"\ne38875,2021/06/22,breakfast,cereals,\ne38876,2021/06/22,lunch,a burger,\ne38877,2021/06/22,dinner,fish and chips,\ne38885,2021/06/23,breakfast,toast and cheese,\"Jackson, Benjamin\"\ne38886,2021/06/23,lunch,steak,\"Piper, Layla, Hazel\"\ne38887,2021/06/23,dinner,indian food,\ne38894,2021/06/24,breakfast,peanut-butter-jam,\ne38895,2021/06/24,lunch,indian food,\ne38896,2021/06/24,dinner,steak,\ne38903,2021/06/25,breakfast,peanut-butter-jam,\"Nora, Layla, Hazel\"\ne38904,2021/06/25,lunch,tacos,\ne38905,2021/06/25,dinner,sandwich,\"Eva, Rylee, Nora, Lydia, Layla, Olivia, Hazel\"\ne38911,2021/06/26,breakfast,cereals,\"Kayden, Emily\"\ne38912,2021/06/26,lunch,pasta,\ne38913,2021/06/26,dinner,sandwich,\ne38920,2021/06/27,breakfast,peanut-butter-jam,\ne38921,2021/06/27,lunch,pasta,\ne38922,2021/06/27,dinner,sandwich,\ne38928,2021/06/28,breakfast,toast and cheese,\ne38929,2021/06/28,lunch,sandwich,\ne38930,2021/06/28,dinner,fish and chips,\ne38937,2021/06/29,breakfast,peanut-butter-jam,\ne38938,2021/06/29,lunch,steak,\"Andrew, Emily, Carter\"\ne38939,2021/06/29,dinner,steak,\ne38945,2021/06/30,breakfast,cereals,\ne38946,2021/06/30,lunch,tacos,\"Carter, Emily, Kayden\"\ne38947,2021/06/30,dinner,chinese food,Avery\ne38955,2021/07/01,breakfast,cereals,\"Willow, Jackson\"\ne38956,2021/07/01,lunch,sandwich,\ne38957,2021/07/01,dinner,fish and chips,\ne38964,2021/07/02,breakfast,oatmeal,\ne38965,2021/07/02,lunch,sushi,\ne38966,2021/07/02,dinner,sandwich,\ne38971,2021/07/03,breakfast,\"eggs, sausages, and bread\",\ne38972,2021/07/03,lunch,steak,\"Avery, Benjamin\"\ne38973,2021/07/03,dinner,sushi,\ne38981,2021/07/04,breakfast,cereals,\"Benjamin, Willow, Jackson, Avery\"\ne38982,2021/07/04,lunch,sandwich,\ne38983,2021/07/04,dinner,fish and chips,Kayden\ne38990,2021/07/05,breakfast,oatmeal,\ne38991,2021/07/05,lunch,chinese food,\ne38992,2021/07/05,dinner,steak,\ne39000,2021/07/06,breakfast,peanut-butter-jam,\ne39001,2021/07/06,lunch,steak,\ne39002,2021/07/06,dinner,pasta,\"Kinsley, Nevaeh\"\ne39007,2021/07/07,breakfast,oatmeal,\"Eva, Avery, Nora, Lydia, Olivia, Nevaeh, Rylee, Layla, Piper, Hazel\"\ne39008,2021/07/07,lunch,pasta,\ne39009,2021/07/07,dinner,steak,\ne39015,2021/07/08,breakfast,cereals,\ne39016,2021/07/08,lunch,sandwich,\ne39017,2021/07/08,dinner,indian food,\ne39023,2021/07/09,breakfast,oatmeal,\"Willow, Benjamin, Jackson, Avery\"\ne39024,2021/07/09,lunch,a burger,\ne39025,2021/07/09,dinner,pasta,\"Nevaeh, Kinsley, Eva, Piper, Lydia, Olivia, Layla, Avery, Piper\"\ne39032,2021/07/10,breakfast,oatmeal,\ne39033,2021/07/10,lunch,fish and chips,Carter\ne39034,2021/07/10,dinner,steak,\ne39042,2021/07/11,breakfast,\"eggs, sausages, and bread\",\"Emily, Andrew, Kayden, Carter\"\ne39043,2021/07/11,lunch,chinese food,\ne39044,2021/07/11,dinner,sandwich,Carter\ne39051,2021/07/12,breakfast,toast and cheese,Emily\ne39052,2021/07/12,lunch,a burger,Carter\ne39053,2021/07/12,dinner,sandwich,\ne39058,2021/07/13,breakfast,toast and cheese,\"Eva, Piper, Lydia, Rylee, Olivia, Kinsley, Claire, Hazel, Nora, Layla, Piper\"\ne39059,2021/07/13,lunch,sandwich,\"Carter, Andrew, Emily\"\ne39060,2021/07/13,dinner,pasta,\ne39067,2021/07/14,breakfast,oatmeal,\"Andrew, Kayden, Carter, Emily\"\ne39068,2021/07/14,lunch,sushi,\ne39069,2021/07/14,dinner,pasta,\"Emily, Carter, Kayden\"\ne39076,2021/07/15,breakfast,toast and cheese,\ne39077,2021/07/15,lunch,steak,\"Kinsley, Olivia, Eva, Avery, Rylee, Hazel, Lydia, Claire, Piper, Piper\"\ne39078,2021/07/15,dinner,sushi,\"Carter, Emily\"\ne39084,2021/07/16,breakfast,oatmeal,\ne39085,2021/07/16,lunch,indian food,\ne39086,2021/07/16,dinner,indian food,\ne39093,2021/07/17,breakfast,\"eggs, sausages, and bread\",\"Willow, Benjamin\"\ne39094,2021/07/17,lunch,indian food,\ne39095,2021/07/17,dinner,chinese food,\ne39101,2021/07/18,breakfast,oatmeal,\ne39102,2021/07/18,lunch,indian food,\"Kayden, Carter\"\ne39103,2021/07/18,dinner,sushi,\"Layla, Eva, Kinsley, Hazel, Avery, Claire\"\ne39111,2021/07/19,breakfast,pancakes,\ne39112,2021/07/19,lunch,a burger,\ne39113,2021/07/19,dinner,fish and chips,\"Kayden, Emily\"\ne39120,2021/07/20,breakfast,cereals,\ne39121,2021/07/20,lunch,fish and chips,\ne39122,2021/07/20,dinner,indian food,\ne39128,2021/07/21,breakfast,peanut-butter-jam,\ne39129,2021/07/21,lunch,chinese food,\ne39130,2021/07/21,dinner,sandwich,Jackson\ne39137,2021/07/22,breakfast,\"eggs, sausages, and bread\",\ne39138,2021/07/22,lunch,sushi,\ne39139,2021/07/22,dinner,sandwich,\"Emily, Kayden, Andrew\"\ne39147,2021/07/23,breakfast,toast and cheese,\"Piper, Layla, Olivia\"\ne39148,2021/07/23,lunch,a burger,\ne39149,2021/07/23,dinner,indian food,\"Nevaeh, Eva, Olivia, Claire, Hazel\"\ne39156,2021/07/24,breakfast,peanut-butter-jam,Benjamin\ne39157,2021/07/24,lunch,fish and chips,Hazel\ne39158,2021/07/24,dinner,chinese food,\ne39165,2021/07/25,breakfast,oatmeal,\"Piper, Layla\"\ne39166,2021/07/25,lunch,steak,\"Avery, Layla, Nevaeh, Piper, Olivia, Nora, Kinsley, Eva\"\ne39167,2021/07/25,dinner,steak,\"Claire, Layla, Rylee, Hazel, Kinsley, Avery, Nevaeh, Piper, Nora, Lydia, Piper, Olivia\"\ne39173,2021/07/26,breakfast,cereals,\"Carter, Kayden, Emily\"\ne39174,2021/07/26,lunch,pasta,\"Avery, Hazel, Nevaeh, Eva, Layla\"\ne39175,2021/07/26,dinner,sandwich,\"Nevaeh, Olivia, Layla, Avery, Hazel, Rylee, Eva, Piper, Kinsley, Claire\"\ne39181,2021/07/27,breakfast,pancakes,\"Willow, Jackson, Benjamin, Avery\"\ne39182,2021/07/27,lunch,tacos,\"Andrew, Carter\"\ne39183,2021/07/27,dinner,pasta,Carter\ne39190,2021/07/28,breakfast,\"eggs, sausages, and bread\",\ne39191,2021/07/28,lunch,pasta,\"Jackson, Avery\"\ne39192,2021/07/28,dinner,a burger,\"Kayden, Andrew, Emily\"\ne39199,2021/07/29,breakfast,\"eggs, sausages, and bread\",\"Jackson, Willow, Avery, Benjamin\"\ne39200,2021/07/29,lunch,sandwich,Carter\ne39201,2021/07/29,dinner,steak,\"Kayden, Emily, Carter, Andrew\"\ne39208,2021/07/30,breakfast,\"eggs, sausages, and bread\",\ne39209,2021/07/30,lunch,fish and chips,\"Willow, Benjamin, Jackson\"\ne39210,2021/07/30,dinner,chinese food,\ne39216,2021/07/31,breakfast,\"eggs, sausages, and bread\",\ne39217,2021/07/31,lunch,fish and chips,\"Benjamin, Willow, Jackson\"\ne39218,2021/07/31,dinner,fish and chips,\ne39225,2021/08/01,breakfast,toast and cheese,\ne39226,2021/08/01,lunch,sushi,\ne39227,2021/08/01,dinner,tacos,\ne39235,2021/08/02,breakfast,pancakes,Benjamin\ne39236,2021/08/02,lunch,sandwich,\ne39237,2021/08/02,dinner,a burger,\ne39244,2021/08/03,breakfast,\"eggs, sausages, and bread\",\ne39245,2021/08/03,lunch,steak,\ne39246,2021/08/03,dinner,tacos,\ne39254,2021/08/04,breakfast,cereals,\ne39255,2021/08/04,lunch,indian food,\"Kayden, Emily, Andrew, Carter\"\ne39256,2021/08/04,dinner,chinese food,\"Hazel, Claire, Lydia, Nevaeh, Piper, Kinsley, Rylee, Nora, Avery, Olivia, Piper\"\ne39263,2021/08/05,breakfast,pancakes,\"Andrew, Carter, Emily\"\ne39264,2021/08/05,lunch,fish and chips,Andrew\ne39265,2021/08/05,dinner,fish and chips,\"Andrew, Emily\"\ne39271,2021/08/06,breakfast,oatmeal,\ne39272,2021/08/06,lunch,indian food,\ne39273,2021/08/06,dinner,tacos,\"Layla, Nora\"\ne39280,2021/08/07,breakfast,pancakes,\ne39281,2021/08/07,lunch,a burger,\"Nora, Rylee, Piper\"\ne39282,2021/08/07,dinner,sushi,\ne39290,2021/08/08,breakfast,pancakes,\ne39291,2021/08/08,lunch,tacos,\"Kayden, Andrew\"\ne39292,2021/08/08,dinner,fish and chips,\ne39296,2021/08/09,breakfast,toast and cheese,\ne39297,2021/08/09,lunch,chinese food,\"Carter, Emily\"\ne39298,2021/08/09,dinner,indian food,\ne39306,2021/08/10,breakfast,cereals,\"Kayden, Andrew, Emily\"\ne39307,2021/08/10,lunch,sandwich,\"Avery, Willow, Jackson\"\ne39308,2021/08/10,dinner,sandwich,\ne39315,2021/08/11,breakfast,pancakes,\ne39316,2021/08/11,lunch,pasta,\ne39317,2021/08/11,dinner,steak,\"Kinsley, Lydia, Nora, Rylee, Hazel\"\ne39324,2021/08/12,breakfast,peanut-butter-jam,\ne39325,2021/08/12,lunch,fish and chips,\"Avery, Jackson, Benjamin, Willow\"\ne39326,2021/08/12,dinner,steak,\ne39333,2021/08/13,breakfast,oatmeal,\ne39334,2021/08/13,lunch,chinese food,\"Carter, Andrew, Kayden\"\ne39335,2021/08/13,dinner,a burger,\ne39342,2021/08/14,breakfast,cereals,\"Layla, Piper, Nevaeh, Eva, Avery, Kinsley, Claire, Piper\"\ne39343,2021/08/14,lunch,sushi,\ne39344,2021/08/14,dinner,sushi,\ne39350,2021/08/15,breakfast,\"eggs, sausages, and bread\",\ne39351,2021/08/15,lunch,sandwich,\"Avery, Claire, Lydia, Piper, Eva, Kinsley, Nevaeh, Hazel, Piper, Olivia, Rylee\"\ne39352,2021/08/15,dinner,chinese food,\ne39358,2021/08/16,breakfast,peanut-butter-jam,\ne39359,2021/08/16,lunch,fish and chips,\ne39360,2021/08/16,dinner,steak,\"Avery, Eva, Nevaeh, Kinsley, Piper, Rylee, Hazel\"\ne39367,2021/08/17,breakfast,toast and cheese,\ne39368,2021/08/17,lunch,fish and chips,\"Piper, Nevaeh, Claire\"\ne39369,2021/08/17,dinner,a burger,\ne39377,2021/08/18,breakfast,toast and cheese,\ne39378,2021/08/18,lunch,pasta,\ne39379,2021/08/18,dinner,a burger,\ne39386,2021/08/19,breakfast,peanut-butter-jam,Andrew\ne39387,2021/08/19,lunch,a burger,\ne39388,2021/08/19,dinner,fish and chips,\ne39395,2021/08/20,breakfast,pancakes,Emily\ne39396,2021/08/20,lunch,chinese food,\ne39397,2021/08/20,dinner,fish and chips,\ne39402,2021/08/21,breakfast,peanut-butter-jam,\ne39403,2021/08/21,lunch,steak,\ne39404,2021/08/21,dinner,chinese food,\"Kayden, Andrew, Emily\"\ne39411,2021/08/22,breakfast,toast and cheese,\"Carter, Emily\"\ne39412,2021/08/22,lunch,a burger,\"Lydia, Avery, Piper, Olivia, Rylee, Nora, Eva, Claire, Nevaeh, Piper\"\ne39413,2021/08/22,dinner,indian food,Avery\ne39420,2021/08/23,breakfast,\"eggs, sausages, and bread\",\"Hazel, Lydia, Nora\"\ne39421,2021/08/23,lunch,chinese food,\"Piper, Eva, Avery, Hazel, Claire, Piper, Nevaeh, Lydia, Rylee, Olivia\"\ne39422,2021/08/23,dinner,steak,\"Jackson, Benjamin\"\ne39428,2021/08/24,breakfast,\"eggs, sausages, and bread\",\ne39429,2021/08/24,lunch,sushi,\"Kayden, Andrew, Carter\"\ne39430,2021/08/24,dinner,chinese food,\ne39438,2021/08/25,breakfast,peanut-butter-jam,\ne39439,2021/08/25,lunch,pasta,\"Emily, Carter, Kayden, Andrew\"\ne39440,2021/08/25,dinner,sandwich,Kayden\ne39446,2021/08/26,breakfast,peanut-butter-jam,\"Emily, Andrew\"\ne39447,2021/08/26,lunch,chinese food,\ne39448,2021/08/26,dinner,a burger,\ne39455,2021/08/27,breakfast,cereals,\"Hazel, Eva, Lydia, Nora, Claire, Piper, Piper, Kinsley, Layla, Rylee\"\ne39456,2021/08/27,lunch,chinese food,\ne39457,2021/08/27,dinner,chinese food,\ne39465,2021/08/28,breakfast,toast and cheese,\ne39466,2021/08/28,lunch,tacos,\ne39467,2021/08/28,dinner,pasta,\"Nevaeh, Avery, Layla, Claire, Piper, Nora\"\ne39473,2021/08/29,breakfast,oatmeal,\ne39474,2021/08/29,lunch,sandwich,\"Willow, Avery, Benjamin, Jackson\"\ne39475,2021/08/29,dinner,sushi,\ne39481,2021/08/30,breakfast,toast and cheese,\ne39482,2021/08/30,lunch,sandwich,Willow\ne39483,2021/08/30,dinner,indian food,\ne39490,2021/08/31,breakfast,cereals,\ne39491,2021/08/31,lunch,sandwich,\"Emily, Andrew, Carter, Kayden\"\ne39492,2021/08/31,dinner,sushi,\"Kayden, Carter, Andrew, Emily\"\ne39498,2021/09/01,breakfast,peanut-butter-jam,\ne39499,2021/09/01,lunch,fish and chips,\ne39500,2021/09/01,dinner,tacos,\ne39506,2021/09/02,breakfast,cereals,\ne39507,2021/09/02,lunch,sandwich,\"Piper, Olivia, Avery, Kinsley, Piper, Lydia, Layla, Nora\"\ne39508,2021/09/02,dinner,steak,\ne39515,2021/09/03,breakfast,peanut-butter-jam,\ne39516,2021/09/03,lunch,sandwich,\"Hazel, Rylee, Olivia, Eva, Claire, Nevaeh, Piper, Piper, Nora, Avery, Kinsley, Lydia\"\ne39517,2021/09/03,dinner,fish and chips,\ne39522,2021/09/04,breakfast,oatmeal,\"Hazel, Lydia, Claire, Rylee, Piper, Kinsley, Eva, Piper, Avery, Olivia, Layla, Nora\"\ne39523,2021/09/04,lunch,steak,\ne39524,2021/09/04,dinner,sandwich,\ne39531,2021/09/05,breakfast,oatmeal,\ne39532,2021/09/05,lunch,indian food,\"Claire, Piper, Hazel, Nora, Lydia, Piper, Nevaeh, Olivia, Layla\"\ne39533,2021/09/05,dinner,a burger,\ne39539,2021/09/06,breakfast,oatmeal,\ne39540,2021/09/06,lunch,tacos,\ne39541,2021/09/06,dinner,steak,\ne39548,2021/09/07,breakfast,\"eggs, sausages, and bread\",\ne39549,2021/09/07,lunch,indian food,\"Andrew, Emily, Kayden, Carter\"\ne39550,2021/09/07,dinner,fish and chips,\ne39557,2021/09/08,breakfast,toast and cheese,Jackson\ne39558,2021/09/08,lunch,chinese food,\ne39559,2021/09/08,dinner,chinese food,\ne39566,2021/09/09,breakfast,\"eggs, sausages, and bread\",\"Emily, Andrew, Carter, Kayden\"\ne39567,2021/09/09,lunch,a burger,\"Carter, Kayden, Andrew\"\ne39568,2021/09/09,dinner,fish and chips,\"Emily, Carter\"\ne39576,2021/09/10,breakfast,\"eggs, sausages, and bread\",\ne39577,2021/09/10,lunch,steak,\"Carter, Emily, Kayden, Andrew\"\ne39578,2021/09/10,dinner,steak,\ne39584,2021/09/11,breakfast,oatmeal,\ne39585,2021/09/11,lunch,chinese food,\ne39586,2021/09/11,dinner,indian food,\"Hazel, Olivia, Claire, Piper, Kinsley, Eva, Avery, Layla, Lydia, Piper\"\ne39593,2021/09/12,breakfast,oatmeal,\"Carter, Andrew, Emily, Kayden\"\ne39594,2021/09/12,lunch,chinese food,\ne39595,2021/09/12,dinner,sushi,\ne39600,2021/09/13,breakfast,cereals,\"Andrew, Emily, Kayden, Carter\"\ne39601,2021/09/13,lunch,sandwich,\ne39602,2021/09/13,dinner,indian food,\"Andrew, Carter, Emily, Kayden\"\ne39608,2021/09/14,breakfast,\"eggs, sausages, and bread\",\ne39609,2021/09/14,lunch,a burger,\"Layla, Eva, Rylee, Hazel, Nora, Nevaeh, Olivia\"\ne39610,2021/09/14,dinner,steak,\ne39617,2021/09/15,breakfast,pancakes,\"Layla, Lydia, Avery, Piper, Rylee\"\ne39618,2021/09/15,lunch,pasta,\"Nora, Kinsley, Claire, Eva, Hazel\"\ne39619,2021/09/15,dinner,sushi,\ne39626,2021/09/16,breakfast,peanut-butter-jam,\ne39627,2021/09/16,lunch,pasta,\ne39628,2021/09/16,dinner,sushi,\ne39636,2021/09/17,breakfast,pancakes,\"Avery, Hazel, Kinsley, Olivia, Layla, Claire, Eva\"\ne39637,2021/09/17,lunch,steak,\ne39638,2021/09/17,dinner,steak,\ne39644,2021/09/18,breakfast,pancakes,\ne39645,2021/09/18,lunch,sandwich,\ne39646,2021/09/18,dinner,steak,\ne39651,2021/09/19,breakfast,cereals,\"Eva, Lydia, Layla, Piper, Claire, Nora, Avery, Kinsley, Piper, Nevaeh\"\ne39652,2021/09/19,lunch,sandwich,\ne39653,2021/09/19,dinner,sandwich,\ne39661,2021/09/20,breakfast,\"eggs, sausages, and bread\",\ne39662,2021/09/20,lunch,sushi,\ne39663,2021/09/20,dinner,indian food,\"Andrew, Kayden\"\ne39670,2021/09/21,breakfast,\"eggs, sausages, and bread\",\"Kayden, Emily, Carter\"\ne39671,2021/09/21,lunch,chinese food,\"Carter, Emily, Kayden\"\ne39672,2021/09/21,dinner,fish and chips,\"Kayden, Emily\"\ne39680,2021/09/22,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Andrew, Kayden\"\ne39681,2021/09/22,lunch,chinese food,\"Andrew, Kayden\"\ne39682,2021/09/22,dinner,tacos,\"Layla, Eva, Nevaeh, Piper, Olivia, Lydia, Nora, Piper, Rylee\"\ne39687,2021/09/23,breakfast,cereals,\ne39688,2021/09/23,lunch,a burger,\ne39689,2021/09/23,dinner,chinese food,\ne39696,2021/09/24,breakfast,cereals,\"Piper, Rylee, Avery, Olivia, Lydia\"\ne39697,2021/09/24,lunch,chinese food,\"Layla, Hazel, Kinsley, Eva, Nora, Claire, Piper, Rylee, Lydia, Nevaeh, Piper, Olivia, Avery\"\ne39698,2021/09/24,dinner,a burger,\ne39705,2021/09/25,breakfast,peanut-butter-jam,\ne39706,2021/09/25,lunch,fish and chips,Avery\ne39707,2021/09/25,dinner,fish and chips,\"Carter, Andrew, Emily, Kayden\"\ne39714,2021/09/26,breakfast,peanut-butter-jam,\ne39715,2021/09/26,lunch,fish and chips,\ne39716,2021/09/26,dinner,indian food,\ne39723,2021/09/27,breakfast,cereals,\ne39724,2021/09/27,lunch,pasta,Andrew\ne39725,2021/09/27,dinner,pasta,\ne39732,2021/09/28,breakfast,oatmeal,\ne39733,2021/09/28,lunch,pasta,\"Nora, Olivia, Piper, Layla, Nevaeh, Claire, Hazel, Lydia\"\ne39734,2021/09/28,dinner,tacos,\ne39741,2021/09/29,breakfast,oatmeal,\ne39742,2021/09/29,lunch,pasta,Kayden\ne39743,2021/09/29,dinner,sushi,\ne39749,2021/09/30,breakfast,pancakes,\ne39750,2021/09/30,lunch,sandwich,\ne39751,2021/09/30,dinner,pasta,\"Andrew, Kayden\"\ne39758,2021/10/01,breakfast,toast and cheese,\ne39759,2021/10/01,lunch,a burger,\"Piper, Olivia, Piper, Kinsley, Nevaeh, Eva, Rylee, Layla, Lydia, Hazel, Avery, Nora, Claire\"\ne39760,2021/10/01,dinner,fish and chips,\ne39767,2021/10/02,breakfast,\"eggs, sausages, and bread\",\ne39768,2021/10/02,lunch,sushi,\"Layla, Avery, Lydia, Piper, Kinsley, Piper, Nevaeh, Rylee, Nora, Claire, Olivia, Eva\"\ne39769,2021/10/02,dinner,tacos,\"Emily, Kayden\"\ne39777,2021/10/03,breakfast,oatmeal,\ne39778,2021/10/03,lunch,pasta,\ne39779,2021/10/03,dinner,a burger,\"Emily, Carter, Andrew\"\ne39786,2021/10/04,breakfast,pancakes,\"Carter, Andrew\"\ne39787,2021/10/04,lunch,pasta,Kayden\ne39788,2021/10/04,dinner,a burger,\ne39796,2021/10/05,breakfast,peanut-butter-jam,\ne39797,2021/10/05,lunch,indian food,\"Piper, Lydia, Hazel, Nevaeh, Avery\"\ne39798,2021/10/05,dinner,sushi,\ne39804,2021/10/06,breakfast,\"eggs, sausages, and bread\",\"Rylee, Nora, Lydia\"\ne39805,2021/10/06,lunch,sushi,\ne39806,2021/10/06,dinner,a burger,\ne39813,2021/10/07,breakfast,peanut-butter-jam,\"Jackson, Avery, Benjamin\"\ne39814,2021/10/07,lunch,chinese food,\"Piper, Avery, Piper, Eva, Kinsley, Olivia, Hazel, Layla\"\ne39815,2021/10/07,dinner,tacos,\"Emily, Carter, Andrew\"\ne39822,2021/10/08,breakfast,cereals,\"Benjamin, Jackson\"\ne39823,2021/10/08,lunch,steak,\ne39824,2021/10/08,dinner,steak,\ne39831,2021/10/09,breakfast,oatmeal,\"Carter, Emily, Andrew\"\ne39832,2021/10/09,lunch,sushi,\ne39833,2021/10/09,dinner,steak,\ne39841,2021/10/10,breakfast,toast and cheese,\ne39842,2021/10/10,lunch,sushi,\ne39843,2021/10/10,dinner,sushi,\ne39849,2021/10/11,breakfast,oatmeal,\"Kinsley, Lydia, Avery, Claire, Nora, Layla, Olivia, Piper, Nevaeh, Rylee, Eva, Piper\"\ne39850,2021/10/11,lunch,sushi,\"Avery, Jackson, Benjamin\"\ne39851,2021/10/11,dinner,tacos,\"Kayden, Andrew, Carter, Emily\"\ne39858,2021/10/12,breakfast,pancakes,\ne39859,2021/10/12,lunch,pasta,\"Andrew, Carter\"\ne39860,2021/10/12,dinner,sushi,\ne39865,2021/10/13,breakfast,toast and cheese,\ne39866,2021/10/13,lunch,indian food,\ne39867,2021/10/13,dinner,pasta,\ne39873,2021/10/14,breakfast,oatmeal,Avery\ne39874,2021/10/14,lunch,tacos,\"Carter, Kayden, Emily, Andrew\"\ne39875,2021/10/14,dinner,tacos,\"Jackson, Avery, Benjamin, Willow\"\ne39881,2021/10/15,breakfast,cereals,\"Kinsley, Piper, Hazel, Lydia, Eva, Olivia, Layla, Nevaeh, Claire, Nora\"\ne39882,2021/10/15,lunch,sandwich,\ne39883,2021/10/15,dinner,sandwich,\ne39889,2021/10/16,breakfast,toast and cheese,Emily\ne39890,2021/10/16,lunch,sandwich,\"Carter, Kayden, Emily\"\ne39891,2021/10/16,dinner,sushi,\ne39899,2021/10/17,breakfast,peanut-butter-jam,\ne39900,2021/10/17,lunch,indian food,\ne39901,2021/10/17,dinner,a burger,\"Willow, Jackson\"\ne39908,2021/10/18,breakfast,pancakes,\ne39909,2021/10/18,lunch,sandwich,\ne39910,2021/10/18,dinner,steak,\ne39916,2021/10/19,breakfast,pancakes,\ne39917,2021/10/19,lunch,sandwich,\ne39918,2021/10/19,dinner,steak,\ne39924,2021/10/20,breakfast,\"eggs, sausages, and bread\",\ne39925,2021/10/20,lunch,steak,\ne39926,2021/10/20,dinner,sandwich,\ne39933,2021/10/21,breakfast,cereals,\ne39934,2021/10/21,lunch,sushi,\ne39935,2021/10/21,dinner,pasta,\"Avery, Willow, Jackson\"\ne39942,2021/10/22,breakfast,toast and cheese,\ne39943,2021/10/22,lunch,chinese food,\"Benjamin, Willow, Jackson\"\ne39944,2021/10/22,dinner,indian food,\ne39952,2021/10/23,breakfast,peanut-butter-jam,\ne39953,2021/10/23,lunch,sandwich,\"Andrew, Kayden, Emily\"\ne39954,2021/10/23,dinner,chinese food,\ne39960,2021/10/24,breakfast,cereals,\ne39961,2021/10/24,lunch,steak,\"Jackson, Avery, Willow, Benjamin\"\ne39962,2021/10/24,dinner,a burger,\"Andrew, Carter\"\ne39968,2021/10/25,breakfast,\"eggs, sausages, and bread\",\ne39969,2021/10/25,lunch,sushi,\"Piper, Layla, Olivia\"\ne39970,2021/10/25,dinner,chinese food,\ne39976,2021/10/26,breakfast,peanut-butter-jam,\ne39977,2021/10/26,lunch,tacos,\ne39978,2021/10/26,dinner,tacos,Andrew\ne39983,2021/10/27,breakfast,pancakes,\ne39984,2021/10/27,lunch,tacos,\ne39985,2021/10/27,dinner,chinese food,\ne39992,2021/10/28,breakfast,toast and cheese,\ne39993,2021/10/28,lunch,indian food,\ne39994,2021/10/28,dinner,fish and chips,\ne40002,2021/10/29,breakfast,toast and cheese,\"Kayden, Carter, Andrew, Emily\"\ne40003,2021/10/29,lunch,chinese food,Emily\ne40004,2021/10/29,dinner,a burger,\ne40011,2021/10/30,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden, Andrew\"\ne40012,2021/10/30,lunch,sandwich,\ne40013,2021/10/30,dinner,sushi,\ne40020,2021/10/31,breakfast,oatmeal,\ne40021,2021/10/31,lunch,steak,\ne40022,2021/10/31,dinner,a burger,\ne40028,2021/11/01,breakfast,oatmeal,\ne40029,2021/11/01,lunch,a burger,\"Olivia, Nora, Layla, Avery, Kinsley, Eva, Piper, Hazel, Piper, Nevaeh, Rylee\"\ne40030,2021/11/01,dinner,sushi,\"Emily, Kayden, Andrew, Carter\"\ne40037,2021/11/02,breakfast,cereals,\ne40038,2021/11/02,lunch,sushi,\ne40039,2021/11/02,dinner,sandwich,\ne40047,2021/11/03,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden, Carter, Andrew\"\ne40048,2021/11/03,lunch,sandwich,\ne40049,2021/11/03,dinner,pasta,\ne40055,2021/11/04,breakfast,toast and cheese,\ne40056,2021/11/04,lunch,tacos,\"Claire, Lydia, Piper, Olivia, Nevaeh, Avery, Piper, Rylee, Kinsley, Hazel, Nora\"\ne40057,2021/11/04,dinner,a burger,\"Andrew, Kayden\"\ne40063,2021/11/05,breakfast,peanut-butter-jam,\ne40064,2021/11/05,lunch,indian food,Emily\ne40065,2021/11/05,dinner,steak,\ne40072,2021/11/06,breakfast,pancakes,\ne40073,2021/11/06,lunch,tacos,\ne40074,2021/11/06,dinner,indian food,\"Kayden, Carter, Andrew, Emily\"\ne40081,2021/11/07,breakfast,pancakes,\"Emily, Kayden, Carter, Andrew\"\ne40082,2021/11/07,lunch,indian food,\"Emily, Carter\"\ne40083,2021/11/07,dinner,fish and chips,\ne40090,2021/11/08,breakfast,peanut-butter-jam,\ne40091,2021/11/08,lunch,chinese food,\"Hazel, Layla, Olivia, Avery, Lydia, Piper, Eva, Claire\"\ne40092,2021/11/08,dinner,tacos,\ne40098,2021/11/09,breakfast,pancakes,\ne40099,2021/11/09,lunch,tacos,\"Kayden, Carter\"\ne40100,2021/11/09,dinner,tacos,\ne40106,2021/11/10,breakfast,pancakes,\"Willow, Jackson, Avery\"\ne40107,2021/11/10,lunch,tacos,\ne40108,2021/11/10,dinner,fish and chips,\"Eva, Lydia, Avery, Rylee, Piper, Hazel, Nora, Olivia, Piper, Kinsley, Claire, Layla, Nevaeh\"\ne40116,2021/11/11,breakfast,pancakes,\ne40117,2021/11/11,lunch,chinese food,\"Carter, Andrew, Kayden\"\ne40118,2021/11/11,dinner,tacos,\"Claire, Layla, Olivia, Kinsley, Piper, Piper\"\ne40126,2021/11/12,breakfast,toast and cheese,\"Nevaeh, Layla\"\ne40127,2021/11/12,lunch,sushi,\"Benjamin, Jackson, Avery\"\ne40128,2021/11/12,dinner,tacos,\ne40135,2021/11/13,breakfast,pancakes,Carter\ne40136,2021/11/13,lunch,fish and chips,\ne40137,2021/11/13,dinner,pasta,\"Andrew, Kayden, Emily\"\ne40142,2021/11/14,breakfast,oatmeal,\ne40143,2021/11/14,lunch,indian food,\"Andrew, Carter, Emily, Kayden\"\ne40144,2021/11/14,dinner,chinese food,\ne40151,2021/11/15,breakfast,toast and cheese,\"Carter, Emily, Kayden\"\ne40152,2021/11/15,lunch,fish and chips,\ne40153,2021/11/15,dinner,tacos,Claire\ne40159,2021/11/16,breakfast,\"eggs, sausages, and bread\",\ne40160,2021/11/16,lunch,pasta,\ne40161,2021/11/16,dinner,pasta,\"Carter, Andrew, Emily, Kayden\"\ne40167,2021/11/17,breakfast,pancakes,\ne40168,2021/11/17,lunch,sandwich,\ne40169,2021/11/17,dinner,a burger,\ne40176,2021/11/18,breakfast,peanut-butter-jam,\"Avery, Benjamin, Jackson, Willow\"\ne40177,2021/11/18,lunch,tacos,\ne40178,2021/11/18,dinner,steak,Andrew\ne40185,2021/11/19,breakfast,cereals,\"Andrew, Carter, Kayden, Emily\"\ne40186,2021/11/19,lunch,chinese food,\ne40187,2021/11/19,dinner,indian food,\ne40193,2021/11/20,breakfast,cereals,\ne40194,2021/11/20,lunch,sushi,\"Layla, Nevaeh, Piper, Rylee, Piper, Avery, Nora, Claire, Olivia, Hazel, Eva, Lydia\"\ne40195,2021/11/20,dinner,a burger,\"Andrew, Carter, Kayden\"\ne40202,2021/11/21,breakfast,peanut-butter-jam,\ne40203,2021/11/21,lunch,a burger,\"Carter, Emily, Kayden, Andrew\"\ne40204,2021/11/21,dinner,tacos,\ne40211,2021/11/22,breakfast,toast and cheese,\ne40212,2021/11/22,lunch,indian food,\ne40213,2021/11/22,dinner,tacos,Emily\ne40220,2021/11/23,breakfast,peanut-butter-jam,\"Emily, Kayden, Andrew\"\ne40221,2021/11/23,lunch,steak,Avery\ne40222,2021/11/23,dinner,indian food,\ne40227,2021/11/24,breakfast,\"eggs, sausages, and bread\",\ne40228,2021/11/24,lunch,a burger,\ne40229,2021/11/24,dinner,sandwich,\ne40235,2021/11/25,breakfast,toast and cheese,\"Jackson, Benjamin\"\ne40236,2021/11/25,lunch,pasta,Carter\ne40237,2021/11/25,dinner,sushi,\ne40244,2021/11/26,breakfast,toast and cheese,\ne40245,2021/11/26,lunch,indian food,\ne40246,2021/11/26,dinner,pasta,\"Carter, Andrew, Emily\"\ne40251,2021/11/27,breakfast,toast and cheese,\"Piper, Avery\"\ne40252,2021/11/27,lunch,sandwich,\ne40253,2021/11/27,dinner,a burger,\ne40261,2021/11/28,breakfast,cereals,\ne40262,2021/11/28,lunch,sushi,\ne40263,2021/11/28,dinner,indian food,\ne40270,2021/11/29,breakfast,pancakes,\"Claire, Eva, Avery, Rylee, Kinsley, Piper, Piper, Olivia, Nora\"\ne40271,2021/11/29,lunch,pasta,\"Olivia, Nora, Kinsley, Nevaeh, Lydia, Piper, Claire, Hazel, Avery, Rylee, Piper\"\ne40272,2021/11/29,dinner,tacos,\"Carter, Andrew\"\ne40278,2021/11/30,breakfast,pancakes,\ne40279,2021/11/30,lunch,tacos,\ne40280,2021/11/30,dinner,fish and chips,\ne40287,2021/12/01,breakfast,toast and cheese,\ne40288,2021/12/01,lunch,a burger,\ne40289,2021/12/01,dinner,pasta,\ne40295,2021/12/02,breakfast,toast and cheese,Carter\ne40296,2021/12/02,lunch,pasta,\ne40297,2021/12/02,dinner,pasta,\ne40303,2021/12/03,breakfast,peanut-butter-jam,\"Carter, Emily\"\ne40304,2021/12/03,lunch,sandwich,\ne40305,2021/12/03,dinner,sandwich,\ne40311,2021/12/04,breakfast,\"eggs, sausages, and bread\",\ne40312,2021/12/04,lunch,a burger,\ne40313,2021/12/04,dinner,steak,\"Emily, Andrew, Kayden, Carter\"\ne40319,2021/12/05,breakfast,pancakes,\"Nora, Avery, Hazel, Claire\"\ne40320,2021/12/05,lunch,fish and chips,\ne40321,2021/12/05,dinner,steak,\ne40327,2021/12/06,breakfast,cereals,\ne40328,2021/12/06,lunch,fish and chips,\ne40329,2021/12/06,dinner,fish and chips,\ne40333,2021/12/07,breakfast,toast and cheese,\ne40334,2021/12/07,lunch,chinese food,\ne40335,2021/12/07,dinner,chinese food,\"Emily, Kayden\"\ne40341,2021/12/08,breakfast,oatmeal,\ne40342,2021/12/08,lunch,steak,\"Piper, Eva, Nevaeh, Avery\"\ne40343,2021/12/08,dinner,pasta,\ne40351,2021/12/09,breakfast,peanut-butter-jam,\ne40352,2021/12/09,lunch,tacos,\ne40353,2021/12/09,dinner,a burger,\"Claire, Layla, Piper, Hazel, Nevaeh, Kinsley, Eva, Lydia, Olivia, Nora, Piper, Avery, Rylee\"\ne40358,2021/12/10,breakfast,cereals,\ne40359,2021/12/10,lunch,tacos,\"Avery, Olivia, Nevaeh\"\ne40360,2021/12/10,dinner,indian food,\ne40367,2021/12/11,breakfast,peanut-butter-jam,\"Lydia, Nevaeh, Nora\"\ne40368,2021/12/11,lunch,sandwich,\ne40369,2021/12/11,dinner,steak,\"Emily, Carter\"\ne40375,2021/12/12,breakfast,peanut-butter-jam,\"Claire, Olivia, Avery, Eva, Piper, Rylee, Nora\"\ne40376,2021/12/12,lunch,a burger,\"Emily, Carter\"\ne40377,2021/12/12,dinner,sushi,\"Willow, Avery, Jackson\"\ne40385,2021/12/13,breakfast,cereals,\"Hazel, Eva, Layla\"\ne40386,2021/12/13,lunch,chinese food,\"Lydia, Olivia, Claire, Piper\"\ne40387,2021/12/13,dinner,chinese food,\"Andrew, Emily, Carter\"\ne40394,2021/12/14,breakfast,pancakes,\"Jackson, Benjamin, Willow\"\ne40395,2021/12/14,lunch,a burger,\ne40396,2021/12/14,dinner,chinese food,\"Claire, Piper, Rylee, Olivia, Layla, Lydia, Piper, Eva, Avery, Kinsley, Nevaeh, Hazel\"\ne40404,2021/12/15,breakfast,toast and cheese,\ne40405,2021/12/15,lunch,chinese food,\"Andrew, Carter, Kayden\"\ne40406,2021/12/15,dinner,sandwich,\"Emily, Carter, Andrew, Kayden\"\ne40413,2021/12/16,breakfast,cereals,\ne40414,2021/12/16,lunch,indian food,\ne40415,2021/12/16,dinner,a burger,\ne40422,2021/12/17,breakfast,peanut-butter-jam,Andrew\ne40423,2021/12/17,lunch,tacos,\ne40424,2021/12/17,dinner,sushi,\ne40431,2021/12/18,breakfast,pancakes,\ne40432,2021/12/18,lunch,pasta,\ne40433,2021/12/18,dinner,sandwich,\"Emily, Kayden, Carter, Andrew\"\ne40440,2021/12/19,breakfast,peanut-butter-jam,\"Emily, Carter, Andrew\"\ne40441,2021/12/19,lunch,chinese food,\ne40442,2021/12/19,dinner,indian food,\ne40450,2021/12/20,breakfast,\"eggs, sausages, and bread\",\"Nora, Olivia\"\ne40451,2021/12/20,lunch,pasta,\"Avery, Jackson\"\ne40452,2021/12/20,dinner,sushi,\ne40459,2021/12/21,breakfast,toast and cheese,\ne40460,2021/12/21,lunch,fish and chips,\"Andrew, Carter, Kayden\"\ne40461,2021/12/21,dinner,pasta,\ne40468,2021/12/22,breakfast,oatmeal,\"Kayden, Carter, Emily\"\ne40469,2021/12/22,lunch,chinese food,\"Kayden, Andrew, Carter\"\ne40470,2021/12/22,dinner,sandwich,\ne40475,2021/12/23,breakfast,toast and cheese,\ne40476,2021/12/23,lunch,fish and chips,\"Andrew, Kayden\"\ne40477,2021/12/23,dinner,indian food,\"Piper, Piper\"\ne40485,2021/12/24,breakfast,peanut-butter-jam,Willow\ne40486,2021/12/24,lunch,chinese food,\"Lydia, Nevaeh, Nora, Eva, Olivia\"\ne40487,2021/12/24,dinner,a burger,\"Kayden, Emily\"\ne40494,2021/12/25,breakfast,toast and cheese,\ne40495,2021/12/25,lunch,indian food,\"Carter, Kayden, Emily\"\ne40496,2021/12/25,dinner,a burger,\ne40502,2021/12/26,breakfast,pancakes,\ne40503,2021/12/26,lunch,tacos,\ne40504,2021/12/26,dinner,a burger,\ne40511,2021/12/27,breakfast,toast and cheese,Andrew\ne40512,2021/12/27,lunch,sandwich,\ne40513,2021/12/27,dinner,fish and chips,\ne40519,2021/12/28,breakfast,peanut-butter-jam,\"Jackson, Benjamin, Willow, Avery\"\ne40520,2021/12/28,lunch,tacos,\ne40521,2021/12/28,dinner,tacos,Benjamin\ne40526,2021/12/29,breakfast,cereals,\ne40527,2021/12/29,lunch,sandwich,\"Andrew, Kayden, Emily, Carter\"\ne40528,2021/12/29,dinner,tacos,\ne40533,2021/12/30,breakfast,cereals,\ne40534,2021/12/30,lunch,pasta,\ne40535,2021/12/30,dinner,indian food,\"Claire, Lydia, Avery, Rylee, Nevaeh, Eva, Kinsley\"\ne40541,2021/12/31,breakfast,oatmeal,\"Andrew, Emily\"\ne40542,2021/12/31,lunch,fish and chips,\"Willow, Jackson, Avery, Benjamin\"\ne40543,2021/12/31,dinner,steak,\ne40777,2022/01/01,breakfast,cereals,\ne40778,2022/01/01,lunch,tacos,\ne40779,2022/01/01,dinner,chinese food,\ne40785,2022/01/02,breakfast,\"eggs, sausages, and bread\",\"Rylee, Hazel, Nora, Nevaeh\"\ne40786,2022/01/02,lunch,fish and chips,\ne40787,2022/01/02,dinner,chinese food,Carter\ne40793,2022/01/03,breakfast,pancakes,\"Andrew, Emily\"\ne40794,2022/01/03,lunch,sandwich,\ne40795,2022/01/03,dinner,indian food,\"Claire, Rylee, Kinsley, Nora, Hazel, Eva\"\ne40802,2022/01/04,breakfast,toast and cheese,\"Andrew, Carter, Kayden\"\ne40803,2022/01/04,lunch,chinese food,\"Piper, Nevaeh, Piper, Nora\"\ne40804,2022/01/04,dinner,pasta,\ne40812,2022/01/05,breakfast,toast and cheese,\ne40813,2022/01/05,lunch,indian food,\ne40814,2022/01/05,dinner,pasta,\ne40819,2022/01/06,breakfast,cereals,\ne40820,2022/01/06,lunch,a burger,\"Jackson, Benjamin\"\ne40821,2022/01/06,dinner,steak,\ne40827,2022/01/07,breakfast,peanut-butter-jam,\ne40828,2022/01/07,lunch,chinese food,\ne40829,2022/01/07,dinner,pasta,\"Emily, Carter\"\ne40835,2022/01/08,breakfast,peanut-butter-jam,\"Andrew, Kayden, Carter, Emily\"\ne40836,2022/01/08,lunch,pasta,\ne40837,2022/01/08,dinner,a burger,\ne40843,2022/01/09,breakfast,oatmeal,\ne40844,2022/01/09,lunch,sandwich,\ne40845,2022/01/09,dinner,fish and chips,\ne40852,2022/01/10,breakfast,cereals,\ne40853,2022/01/10,lunch,indian food,\ne40854,2022/01/10,dinner,sushi,\"Kayden, Carter, Emily, Andrew\"\ne40861,2022/01/11,breakfast,pancakes,\ne40862,2022/01/11,lunch,tacos,Carter\ne40863,2022/01/11,dinner,tacos,Carter\ne40869,2022/01/12,breakfast,pancakes,\ne40870,2022/01/12,lunch,steak,\ne40871,2022/01/12,dinner,fish and chips,\ne40878,2022/01/13,breakfast,cereals,\"Kayden, Carter, Emily\"\ne40879,2022/01/13,lunch,indian food,\ne40880,2022/01/13,dinner,fish and chips,\ne40886,2022/01/14,breakfast,pancakes,\ne40887,2022/01/14,lunch,sushi,\"Hazel, Avery, Claire, Lydia\"\ne40888,2022/01/14,dinner,a burger,\ne40895,2022/01/15,breakfast,pancakes,\ne40896,2022/01/15,lunch,indian food,Emily\ne40897,2022/01/15,dinner,a burger,Benjamin\ne40904,2022/01/16,breakfast,cereals,\ne40905,2022/01/16,lunch,indian food,\ne40906,2022/01/16,dinner,sandwich,Andrew\ne40914,2022/01/17,breakfast,peanut-butter-jam,\ne40915,2022/01/17,lunch,chinese food,\ne40916,2022/01/17,dinner,tacos,\ne40923,2022/01/18,breakfast,\"eggs, sausages, and bread\",\ne40924,2022/01/18,lunch,tacos,\ne40925,2022/01/18,dinner,fish and chips,\ne40932,2022/01/19,breakfast,oatmeal,\ne40933,2022/01/19,lunch,chinese food,\"Kayden, Emily\"\ne40934,2022/01/19,dinner,indian food,\ne40940,2022/01/20,breakfast,cereals,\"Eva, Nevaeh, Nora, Kinsley, Olivia, Rylee, Hazel, Piper, Lydia, Layla, Avery, Claire\"\ne40941,2022/01/20,lunch,fish and chips,\"Nevaeh, Olivia, Claire, Layla, Avery, Hazel, Piper, Nora, Lydia\"\ne40942,2022/01/20,dinner,tacos,\ne40948,2022/01/21,breakfast,toast and cheese,\ne40949,2022/01/21,lunch,indian food,\"Layla, Kinsley, Piper, Olivia, Claire, Nevaeh, Lydia, Eva\"\ne40950,2022/01/21,dinner,indian food,\"Willow, Avery, Benjamin\"\ne40958,2022/01/22,breakfast,pancakes,\ne40959,2022/01/22,lunch,pasta,\ne40960,2022/01/22,dinner,indian food,\ne40967,2022/01/23,breakfast,pancakes,\ne40968,2022/01/23,lunch,chinese food,\ne40969,2022/01/23,dinner,sushi,\"Avery, Jackson, Willow\"\ne40975,2022/01/24,breakfast,cereals,\"Andrew, Emily, Kayden, Carter\"\ne40976,2022/01/24,lunch,chinese food,Carter\ne40977,2022/01/24,dinner,chinese food,\ne40983,2022/01/25,breakfast,oatmeal,\ne40984,2022/01/25,lunch,indian food,\ne40985,2022/01/25,dinner,tacos,\ne40992,2022/01/26,breakfast,peanut-butter-jam,\ne40993,2022/01/26,lunch,pasta,\ne40994,2022/01/26,dinner,chinese food,Andrew\ne41001,2022/01/27,breakfast,pancakes,\ne41002,2022/01/27,lunch,sushi,\ne41003,2022/01/27,dinner,indian food,\ne41009,2022/01/28,breakfast,oatmeal,\ne41010,2022/01/28,lunch,pasta,\ne41011,2022/01/28,dinner,sushi,\"Kayden, Emily, Carter\"\ne41018,2022/01/29,breakfast,toast and cheese,\"Benjamin, Jackson, Willow\"\ne41019,2022/01/29,lunch,sushi,\ne41020,2022/01/29,dinner,sushi,Benjamin\ne41027,2022/01/30,breakfast,peanut-butter-jam,\"Carter, Andrew, Kayden, Emily\"\ne41028,2022/01/30,lunch,sandwich,\ne41029,2022/01/30,dinner,fish and chips,\ne41036,2022/01/31,breakfast,oatmeal,\ne41037,2022/01/31,lunch,steak,\"Avery, Eva, Nora, Olivia, Piper, Nevaeh\"\ne41038,2022/01/31,dinner,sandwich,\ne41045,2022/02/01,breakfast,\"eggs, sausages, and bread\",\"Andrew, Carter, Kayden, Emily\"\ne41046,2022/02/01,lunch,fish and chips,\"Emily, Andrew, Kayden\"\ne41047,2022/02/01,dinner,steak,\ne41053,2022/02/02,breakfast,peanut-butter-jam,\ne41054,2022/02/02,lunch,chinese food,\ne41055,2022/02/02,dinner,fish and chips,\ne41062,2022/02/03,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew, Emily\"\ne41063,2022/02/03,lunch,sushi,\ne41064,2022/02/03,dinner,indian food,\ne41071,2022/02/04,breakfast,cereals,\ne41072,2022/02/04,lunch,indian food,\ne41073,2022/02/04,dinner,sandwich,\"Andrew, Emily\"\ne41081,2022/02/05,breakfast,peanut-butter-jam,\ne41082,2022/02/05,lunch,steak,\"Jackson, Willow, Avery, Benjamin\"\ne41083,2022/02/05,dinner,indian food,\"Kayden, Andrew\"\ne41090,2022/02/06,breakfast,cereals,\"Kinsley, Rylee, Layla, Avery, Olivia, Piper, Piper\"\ne41091,2022/02/06,lunch,a burger,\ne41092,2022/02/06,dinner,a burger,\ne41098,2022/02/07,breakfast,peanut-butter-jam,Olivia\ne41099,2022/02/07,lunch,indian food,\ne41100,2022/02/07,dinner,steak,\ne41107,2022/02/08,breakfast,cereals,\ne41108,2022/02/08,lunch,sandwich,\ne41109,2022/02/08,dinner,pasta,\ne41115,2022/02/09,breakfast,pancakes,\ne41116,2022/02/09,lunch,chinese food,\"Emily, Carter\"\ne41117,2022/02/09,dinner,fish and chips,\"Andrew, Kayden, Emily, Carter\"\ne41124,2022/02/10,breakfast,peanut-butter-jam,\"Kayden, Andrew\"\ne41125,2022/02/10,lunch,sandwich,\ne41126,2022/02/10,dinner,a burger,\ne41132,2022/02/11,breakfast,pancakes,\ne41133,2022/02/11,lunch,tacos,\ne41134,2022/02/11,dinner,pasta,\ne41140,2022/02/12,breakfast,oatmeal,\ne41141,2022/02/12,lunch,tacos,Avery\ne41142,2022/02/12,dinner,a burger,\ne41149,2022/02/13,breakfast,cereals,\ne41150,2022/02/13,lunch,a burger,\ne41151,2022/02/13,dinner,fish and chips,\"Carter, Kayden, Andrew\"\ne41158,2022/02/14,breakfast,peanut-butter-jam,\ne41159,2022/02/14,lunch,a burger,\"Andrew, Emily\"\ne41160,2022/02/14,dinner,indian food,\ne41166,2022/02/15,breakfast,pancakes,\ne41167,2022/02/15,lunch,chinese food,\ne41168,2022/02/15,dinner,indian food,\ne41175,2022/02/16,breakfast,oatmeal,\"Eva, Nora, Piper, Nevaeh, Lydia, Olivia\"\ne41176,2022/02/16,lunch,a burger,\ne41177,2022/02/16,dinner,sushi,\ne41183,2022/02/17,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew\"\ne41184,2022/02/17,lunch,steak,\ne41185,2022/02/17,dinner,chinese food,\ne41190,2022/02/18,breakfast,\"eggs, sausages, and bread\",\ne41191,2022/02/18,lunch,fish and chips,\ne41192,2022/02/18,dinner,pasta,\ne41199,2022/02/19,breakfast,oatmeal,\ne41200,2022/02/19,lunch,sandwich,\ne41201,2022/02/19,dinner,sushi,\ne41208,2022/02/20,breakfast,oatmeal,\ne41209,2022/02/20,lunch,tacos,\ne41210,2022/02/20,dinner,chinese food,\ne41216,2022/02/21,breakfast,\"eggs, sausages, and bread\",\ne41217,2022/02/21,lunch,tacos,\"Kayden, Andrew, Carter\"\ne41218,2022/02/21,dinner,steak,\ne41225,2022/02/22,breakfast,toast and cheese,\ne41226,2022/02/22,lunch,pasta,\ne41227,2022/02/22,dinner,sandwich,\ne41234,2022/02/23,breakfast,pancakes,\ne41235,2022/02/23,lunch,sushi,\"Emily, Carter, Kayden\"\ne41236,2022/02/23,dinner,chinese food,Benjamin\ne41242,2022/02/24,breakfast,pancakes,\"Benjamin, Jackson, Avery, Willow\"\ne41243,2022/02/24,lunch,tacos,\ne41244,2022/02/24,dinner,indian food,\"Kayden, Emily\"\ne41252,2022/02/25,breakfast,oatmeal,\"Rylee, Olivia, Avery, Lydia, Piper, Claire, Nevaeh, Hazel, Layla, Nora, Kinsley, Eva, Piper\"\ne41253,2022/02/25,lunch,tacos,\ne41254,2022/02/25,dinner,sandwich,\ne41261,2022/02/26,breakfast,peanut-butter-jam,\ne41262,2022/02/26,lunch,chinese food,\ne41263,2022/02/26,dinner,chinese food,\"Carter, Kayden, Emily\"\ne41270,2022/02/27,breakfast,oatmeal,\ne41271,2022/02/27,lunch,sushi,\ne41272,2022/02/27,dinner,pasta,\"Carter, Kayden, Andrew, Emily\"\ne41278,2022/02/28,breakfast,toast and cheese,\ne41279,2022/02/28,lunch,tacos,\ne41280,2022/02/28,dinner,fish and chips,\ne41287,2022/03/01,breakfast,cereals,\ne41288,2022/03/01,lunch,sushi,\ne41289,2022/03/01,dinner,fish and chips,\"Emily, Kayden, Andrew, Carter\"\ne41297,2022/03/02,breakfast,peanut-butter-jam,\ne41298,2022/03/02,lunch,pasta,\"Piper, Kinsley, Nevaeh, Piper, Nora\"\ne41299,2022/03/02,dinner,indian food,Andrew\ne41305,2022/03/03,breakfast,cereals,\ne41306,2022/03/03,lunch,chinese food,\"Andrew, Kayden, Emily, Carter\"\ne41307,2022/03/03,dinner,sushi,\ne41315,2022/03/04,breakfast,peanut-butter-jam,\"Willow, Jackson, Avery\"\ne41316,2022/03/04,lunch,pasta,\ne41317,2022/03/04,dinner,fish and chips,\ne41323,2022/03/05,breakfast,peanut-butter-jam,\"Carter, Andrew, Emily\"\ne41324,2022/03/05,lunch,chinese food,\"Lydia, Claire, Hazel, Nora, Rylee\"\ne41325,2022/03/05,dinner,pasta,\ne41330,2022/03/06,breakfast,oatmeal,\ne41331,2022/03/06,lunch,sandwich,\ne41332,2022/03/06,dinner,sushi,\ne41338,2022/03/07,breakfast,toast and cheese,\ne41339,2022/03/07,lunch,a burger,\ne41340,2022/03/07,dinner,fish and chips,\ne41346,2022/03/08,breakfast,\"eggs, sausages, and bread\",\ne41347,2022/03/08,lunch,sushi,\ne41348,2022/03/08,dinner,indian food,\ne41354,2022/03/09,breakfast,\"eggs, sausages, and bread\",\ne41355,2022/03/09,lunch,sandwich,\ne41356,2022/03/09,dinner,tacos,\ne41362,2022/03/10,breakfast,\"eggs, sausages, and bread\",\ne41363,2022/03/10,lunch,chinese food,\ne41364,2022/03/10,dinner,pasta,\ne41371,2022/03/11,breakfast,peanut-butter-jam,\"Olivia, Lydia, Kinsley, Rylee, Avery, Claire\"\ne41372,2022/03/11,lunch,sandwich,\"Jackson, Avery\"\ne41373,2022/03/11,dinner,indian food,\ne41381,2022/03/12,breakfast,peanut-butter-jam,\ne41382,2022/03/12,lunch,sandwich,\ne41383,2022/03/12,dinner,pasta,\"Carter, Andrew, Kayden\"\ne41387,2022/03/13,breakfast,oatmeal,\ne41388,2022/03/13,lunch,sandwich,\ne41389,2022/03/13,dinner,a burger,\"Carter, Kayden, Emily\"\ne41395,2022/03/14,breakfast,peanut-butter-jam,\"Eva, Avery\"\ne41396,2022/03/14,lunch,a burger,\ne41397,2022/03/14,dinner,a burger,\ne41404,2022/03/15,breakfast,pancakes,\ne41405,2022/03/15,lunch,chinese food,\ne41406,2022/03/15,dinner,chinese food,\ne41413,2022/03/16,breakfast,\"eggs, sausages, and bread\",\ne41414,2022/03/16,lunch,fish and chips,Andrew\ne41415,2022/03/16,dinner,sushi,\ne41422,2022/03/17,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter, Emily, Andrew\"\ne41423,2022/03/17,lunch,pasta,\ne41424,2022/03/17,dinner,a burger,\ne41432,2022/03/18,breakfast,peanut-butter-jam,Piper\ne41433,2022/03/18,lunch,indian food,Jackson\ne41434,2022/03/18,dinner,sushi,\ne41439,2022/03/19,breakfast,pancakes,\"Kayden, Emily, Andrew\"\ne41440,2022/03/19,lunch,a burger,\ne41441,2022/03/19,dinner,sandwich,\"Olivia, Nevaeh\"\ne41448,2022/03/20,breakfast,\"eggs, sausages, and bread\",\ne41449,2022/03/20,lunch,pasta,\ne41450,2022/03/20,dinner,indian food,\"Andrew, Emily, Kayden, Carter\"\ne41456,2022/03/21,breakfast,oatmeal,\"Eva, Kinsley, Rylee, Piper, Nora, Nevaeh, Olivia\"\ne41457,2022/03/21,lunch,chinese food,\ne41458,2022/03/21,dinner,indian food,\ne41466,2022/03/22,breakfast,oatmeal,\ne41467,2022/03/22,lunch,fish and chips,\ne41468,2022/03/22,dinner,fish and chips,\ne41475,2022/03/23,breakfast,oatmeal,\ne41476,2022/03/23,lunch,pasta,\"Olivia, Nevaeh, Claire, Hazel, Nora, Avery, Piper, Eva\"\ne41477,2022/03/23,dinner,indian food,Kayden\ne41484,2022/03/24,breakfast,toast and cheese,\ne41485,2022/03/24,lunch,tacos,\"Jackson, Willow, Benjamin\"\ne41486,2022/03/24,dinner,pasta,\ne41492,2022/03/25,breakfast,peanut-butter-jam,\ne41493,2022/03/25,lunch,sandwich,\ne41494,2022/03/25,dinner,sushi,\"Andrew, Carter, Kayden, Emily\"\ne41499,2022/03/26,breakfast,oatmeal,\ne41500,2022/03/26,lunch,chinese food,\ne41501,2022/03/26,dinner,sandwich,Andrew\ne41509,2022/03/27,breakfast,cereals,\"Jackson, Benjamin, Willow\"\ne41510,2022/03/27,lunch,steak,\ne41511,2022/03/27,dinner,chinese food,\"Kinsley, Hazel, Nevaeh\"\ne41518,2022/03/28,breakfast,oatmeal,\ne41519,2022/03/28,lunch,chinese food,\ne41520,2022/03/28,dinner,pasta,\"Kayden, Andrew, Carter, Emily\"\ne41527,2022/03/29,breakfast,pancakes,\ne41528,2022/03/29,lunch,chinese food,\ne41529,2022/03/29,dinner,sandwich,\"Jackson, Willow, Avery, Benjamin\"\ne41534,2022/03/30,breakfast,pancakes,\"Kayden, Emily\"\ne41535,2022/03/30,lunch,chinese food,\ne41536,2022/03/30,dinner,a burger,\ne41542,2022/03/31,breakfast,oatmeal,Andrew\ne41543,2022/03/31,lunch,steak,\ne41544,2022/03/31,dinner,chinese food,\ne41549,2022/04/01,breakfast,toast and cheese,\ne41550,2022/04/01,lunch,steak,\ne41551,2022/04/01,dinner,sushi,\ne41557,2022/04/02,breakfast,peanut-butter-jam,\ne41558,2022/04/02,lunch,steak,\ne41559,2022/04/02,dinner,a burger,\"Kinsley, Nevaeh, Lydia, Layla, Hazel, Olivia, Claire, Avery, Rylee, Nora\"\ne41566,2022/04/03,breakfast,peanut-butter-jam,\ne41567,2022/04/03,lunch,steak,\ne41568,2022/04/03,dinner,sandwich,Carter\ne41576,2022/04/04,breakfast,cereals,\ne41577,2022/04/04,lunch,sushi,\ne41578,2022/04/04,dinner,a burger,\"Andrew, Emily, Kayden, Carter\"\ne41585,2022/04/05,breakfast,peanut-butter-jam,\"Carter, Andrew, Emily, Kayden\"\ne41586,2022/04/05,lunch,tacos,\ne41587,2022/04/05,dinner,sandwich,\"Andrew, Carter, Kayden\"\ne41593,2022/04/06,breakfast,pancakes,\ne41594,2022/04/06,lunch,steak,\"Jackson, Willow\"\ne41595,2022/04/06,dinner,sandwich,\ne41600,2022/04/07,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Andrew\"\ne41601,2022/04/07,lunch,chinese food,\"Emily, Kayden, Andrew, Carter\"\ne41602,2022/04/07,dinner,a burger,\"Emily, Kayden\"\ne41609,2022/04/08,breakfast,pancakes,\ne41610,2022/04/08,lunch,steak,\ne41611,2022/04/08,dinner,a burger,\ne41617,2022/04/09,breakfast,pancakes,\ne41618,2022/04/09,lunch,pasta,\ne41619,2022/04/09,dinner,pasta,\ne41626,2022/04/10,breakfast,peanut-butter-jam,\ne41627,2022/04/10,lunch,sushi,\"Kayden, Andrew, Emily, Carter\"\ne41628,2022/04/10,dinner,indian food,\ne41635,2022/04/11,breakfast,cereals,\"Olivia, Nora, Piper, Avery, Layla, Eva, Lydia, Nevaeh, Piper, Hazel, Claire, Rylee, Kinsley\"\ne41636,2022/04/11,lunch,a burger,\"Piper, Olivia, Hazel, Avery, Layla, Piper, Nora, Nevaeh, Eva, Kinsley, Lydia\"\ne41637,2022/04/11,dinner,sushi,Jackson\ne41645,2022/04/12,breakfast,\"eggs, sausages, and bread\",\ne41646,2022/04/12,lunch,sandwich,\ne41647,2022/04/12,dinner,sushi,\"Emily, Kayden, Andrew, Carter\"\ne41654,2022/04/13,breakfast,oatmeal,\"Andrew, Carter, Kayden, Emily\"\ne41655,2022/04/13,lunch,steak,\"Lydia, Rylee, Piper, Kinsley, Olivia, Nora, Eva, Nevaeh, Layla, Hazel, Avery\"\ne41656,2022/04/13,dinner,pasta,\"Carter, Kayden, Andrew\"\ne41662,2022/04/14,breakfast,oatmeal,Carter\ne41663,2022/04/14,lunch,pasta,\ne41664,2022/04/14,dinner,fish and chips,\"Andrew, Kayden, Carter\"\ne41671,2022/04/15,breakfast,\"eggs, sausages, and bread\",\"Kinsley, Piper, Avery, Rylee, Layla, Nevaeh, Nora, Hazel, Piper, Lydia, Eva\"\ne41672,2022/04/15,lunch,sandwich,\ne41673,2022/04/15,dinner,fish and chips,\ne41679,2022/04/16,breakfast,oatmeal,\"Jackson, Benjamin\"\ne41680,2022/04/16,lunch,steak,\ne41681,2022/04/16,dinner,a burger,\"Carter, Andrew\"\ne41688,2022/04/17,breakfast,\"eggs, sausages, and bread\",\"Nora, Rylee, Avery\"\ne41689,2022/04/17,lunch,pasta,\ne41690,2022/04/17,dinner,pasta,\ne41696,2022/04/18,breakfast,\"eggs, sausages, and bread\",\ne41697,2022/04/18,lunch,indian food,\"Carter, Kayden, Andrew, Emily\"\ne41698,2022/04/18,dinner,tacos,\"Andrew, Carter\"\ne41704,2022/04/19,breakfast,pancakes,\ne41705,2022/04/19,lunch,steak,\ne41706,2022/04/19,dinner,pasta,\"Claire, Nevaeh, Layla\"\ne41712,2022/04/20,breakfast,toast and cheese,\ne41713,2022/04/20,lunch,sushi,\"Kayden, Carter\"\ne41714,2022/04/20,dinner,a burger,\ne41721,2022/04/21,breakfast,toast and cheese,\ne41722,2022/04/21,lunch,pasta,\"Lydia, Rylee, Olivia, Piper, Layla, Kinsley, Claire\"\ne41723,2022/04/21,dinner,pasta,\ne41729,2022/04/22,breakfast,\"eggs, sausages, and bread\",\ne41730,2022/04/22,lunch,pasta,\ne41731,2022/04/22,dinner,indian food,\"Willow, Benjamin, Jackson\"\ne41738,2022/04/23,breakfast,\"eggs, sausages, and bread\",\"Willow, Avery, Benjamin, Jackson\"\ne41739,2022/04/23,lunch,indian food,\ne41740,2022/04/23,dinner,chinese food,\ne41746,2022/04/24,breakfast,toast and cheese,\ne41747,2022/04/24,lunch,tacos,\ne41748,2022/04/24,dinner,steak,\"Olivia, Rylee, Avery, Layla, Piper, Nevaeh, Nora, Eva, Piper\"\ne41754,2022/04/25,breakfast,\"eggs, sausages, and bread\",\ne41755,2022/04/25,lunch,indian food,\ne41756,2022/04/25,dinner,fish and chips,\ne41763,2022/04/26,breakfast,pancakes,\ne41764,2022/04/26,lunch,tacos,\ne41765,2022/04/26,dinner,fish and chips,\ne41773,2022/04/27,breakfast,cereals,\ne41774,2022/04/27,lunch,chinese food,\ne41775,2022/04/27,dinner,chinese food,\ne41782,2022/04/28,breakfast,peanut-butter-jam,\ne41783,2022/04/28,lunch,fish and chips,\ne41784,2022/04/28,dinner,fish and chips,\ne41791,2022/04/29,breakfast,pancakes,\ne41792,2022/04/29,lunch,tacos,Carter\ne41793,2022/04/29,dinner,sandwich,\ne41801,2022/04/30,breakfast,pancakes,\ne41802,2022/04/30,lunch,tacos,\ne41803,2022/04/30,dinner,sandwich,\ne41809,2022/05/01,breakfast,pancakes,\ne41810,2022/05/01,lunch,chinese food,\"Andrew, Carter\"\ne41811,2022/05/01,dinner,sushi,\ne41818,2022/05/02,breakfast,\"eggs, sausages, and bread\",Kayden\ne41819,2022/05/02,lunch,sandwich,Carter\ne41820,2022/05/02,dinner,sushi,\ne41826,2022/05/03,breakfast,toast and cheese,Piper\ne41827,2022/05/03,lunch,steak,\ne41828,2022/05/03,dinner,sushi,\"Piper, Rylee, Layla, Avery, Hazel, Nevaeh\"\ne41834,2022/05/04,breakfast,cereals,\ne41835,2022/05/04,lunch,indian food,\ne41836,2022/05/04,dinner,sandwich,\"Carter, Emily\"\ne41842,2022/05/05,breakfast,toast and cheese,\"Olivia, Piper, Piper, Rylee, Hazel, Nora, Claire, Layla, Lydia, Eva, Nevaeh, Avery\"\ne41843,2022/05/05,lunch,a burger,\ne41844,2022/05/05,dinner,pasta,\ne41850,2022/05/06,breakfast,oatmeal,Jackson\ne41851,2022/05/06,lunch,tacos,\ne41852,2022/05/06,dinner,chinese food,Kayden\ne41858,2022/05/07,breakfast,peanut-butter-jam,Andrew\ne41859,2022/05/07,lunch,fish and chips,\"Claire, Hazel, Eva\"\ne41860,2022/05/07,dinner,tacos,\ne41868,2022/05/08,breakfast,\"eggs, sausages, and bread\",\ne41869,2022/05/08,lunch,steak,\"Carter, Kayden\"\ne41870,2022/05/08,dinner,tacos,\"Emily, Carter, Andrew, Kayden\"\ne41876,2022/05/09,breakfast,\"eggs, sausages, and bread\",Kayden\ne41877,2022/05/09,lunch,chinese food,\ne41878,2022/05/09,dinner,steak,\ne41886,2022/05/10,breakfast,oatmeal,\ne41887,2022/05/10,lunch,sandwich,Carter\ne41888,2022/05/10,dinner,indian food,\ne41895,2022/05/11,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter\"\ne41896,2022/05/11,lunch,a burger,\ne41897,2022/05/11,dinner,steak,\ne41904,2022/05/12,breakfast,\"eggs, sausages, and bread\",\ne41905,2022/05/12,lunch,chinese food,\ne41906,2022/05/12,dinner,chinese food,Nevaeh\ne41913,2022/05/13,breakfast,pancakes,\ne41914,2022/05/13,lunch,steak,\"Jackson, Benjamin, Willow, Avery\"\ne41915,2022/05/13,dinner,sushi,\ne41921,2022/05/14,breakfast,peanut-butter-jam,\"Emily, Kayden, Andrew\"\ne41922,2022/05/14,lunch,indian food,\ne41923,2022/05/14,dinner,indian food,Nevaeh\ne41930,2022/05/15,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew, Kayden, Emily\"\ne41931,2022/05/15,lunch,steak,\"Andrew, Carter, Kayden, Emily\"\ne41932,2022/05/15,dinner,sandwich,Benjamin\ne41939,2022/05/16,breakfast,oatmeal,\ne41940,2022/05/16,lunch,pasta,\"Andrew, Emily, Kayden\"\ne41941,2022/05/16,dinner,indian food,\ne41948,2022/05/17,breakfast,peanut-butter-jam,\"Andrew, Kayden\"\ne41949,2022/05/17,lunch,pasta,\ne41950,2022/05/17,dinner,sandwich,\ne41958,2022/05/18,breakfast,\"eggs, sausages, and bread\",Benjamin\ne41959,2022/05/18,lunch,chinese food,\"Piper, Piper, Nevaeh, Hazel, Layla, Kinsley, Lydia, Claire\"\ne41960,2022/05/18,dinner,sandwich,\ne41965,2022/05/19,breakfast,\"eggs, sausages, and bread\",\ne41966,2022/05/19,lunch,sandwich,\ne41967,2022/05/19,dinner,fish and chips,\"Kayden, Carter\"\ne41975,2022/05/20,breakfast,peanut-butter-jam,\"Carter, Andrew, Kayden\"\ne41976,2022/05/20,lunch,fish and chips,\"Kayden, Andrew\"\ne41977,2022/05/20,dinner,a burger,\"Benjamin, Willow, Jackson\"\ne41984,2022/05/21,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden\"\ne41985,2022/05/21,lunch,sandwich,\ne41986,2022/05/21,dinner,indian food,\"Andrew, Carter\"\ne41993,2022/05/22,breakfast,peanut-butter-jam,\ne41994,2022/05/22,lunch,chinese food,Andrew\ne41995,2022/05/22,dinner,sandwich,Carter\ne42001,2022/05/23,breakfast,cereals,\"Andrew, Carter, Emily\"\ne42002,2022/05/23,lunch,indian food,\ne42003,2022/05/23,dinner,steak,\"Carter, Andrew, Emily\"\ne42008,2022/05/24,breakfast,cereals,Claire\ne42009,2022/05/24,lunch,pasta,\ne42010,2022/05/24,dinner,fish and chips,Kayden\ne42015,2022/05/25,breakfast,\"eggs, sausages, and bread\",\ne42016,2022/05/25,lunch,chinese food,\ne42017,2022/05/25,dinner,pasta,\ne42024,2022/05/26,breakfast,peanut-butter-jam,\ne42025,2022/05/26,lunch,pasta,\ne42026,2022/05/26,dinner,pasta,\ne42033,2022/05/27,breakfast,cereals,Benjamin\ne42034,2022/05/27,lunch,a burger,\ne42035,2022/05/27,dinner,tacos,\"Avery, Benjamin\"\ne42040,2022/05/28,breakfast,cereals,\ne42041,2022/05/28,lunch,steak,\ne42042,2022/05/28,dinner,sandwich,\ne42047,2022/05/29,breakfast,peanut-butter-jam,\ne42048,2022/05/29,lunch,chinese food,\ne42049,2022/05/29,dinner,sandwich,\ne42055,2022/05/30,breakfast,pancakes,\"Emily, Carter\"\ne42056,2022/05/30,lunch,sandwich,\ne42057,2022/05/30,dinner,sushi,\ne42063,2022/05/31,breakfast,pancakes,\ne42064,2022/05/31,lunch,fish and chips,\ne42065,2022/05/31,dinner,sandwich,\"Lydia, Hazel, Avery, Piper\"\ne42072,2022/06/01,breakfast,peanut-butter-jam,\ne42073,2022/06/01,lunch,a burger,Andrew\ne42074,2022/06/01,dinner,pasta,\ne42079,2022/06/02,breakfast,oatmeal,\"Carter, Emily, Andrew\"\ne42080,2022/06/02,lunch,pasta,\"Layla, Eva, Piper, Nora, Lydia, Piper, Claire, Kinsley, Olivia, Hazel, Avery\"\ne42081,2022/06/02,dinner,sushi,\ne42087,2022/06/03,breakfast,oatmeal,\ne42088,2022/06/03,lunch,steak,\ne42089,2022/06/03,dinner,a burger,\"Willow, Benjamin, Jackson, Avery\"\ne42096,2022/06/04,breakfast,oatmeal,\ne42097,2022/06/04,lunch,sandwich,\ne42098,2022/06/04,dinner,a burger,\ne42105,2022/06/05,breakfast,oatmeal,\"Avery, Benjamin\"\ne42106,2022/06/05,lunch,chinese food,\ne42107,2022/06/05,dinner,indian food,\"Kinsley, Claire, Eva, Hazel, Layla, Olivia\"\ne42114,2022/06/06,breakfast,toast and cheese,\ne42115,2022/06/06,lunch,sushi,\ne42116,2022/06/06,dinner,sushi,\"Kayden, Andrew, Carter\"\ne42122,2022/06/07,breakfast,toast and cheese,\ne42123,2022/06/07,lunch,pasta,\"Olivia, Hazel, Avery, Eva, Piper, Lydia, Kinsley, Rylee, Claire, Nora, Nevaeh, Piper\"\ne42124,2022/06/07,dinner,steak,\ne42130,2022/06/08,breakfast,oatmeal,\"Carter, Emily, Kayden\"\ne42131,2022/06/08,lunch,steak,\"Andrew, Kayden, Emily\"\ne42132,2022/06/08,dinner,steak,\"Jackson, Avery\"\ne42138,2022/06/09,breakfast,toast and cheese,Avery\ne42139,2022/06/09,lunch,sandwich,\ne42140,2022/06/09,dinner,tacos,\"Carter, Kayden\"\ne42146,2022/06/10,breakfast,oatmeal,\"Emily, Kayden, Andrew, Carter\"\ne42147,2022/06/10,lunch,tacos,\"Emily, Andrew\"\ne42148,2022/06/10,dinner,a burger,\ne42156,2022/06/11,breakfast,toast and cheese,\"Avery, Willow\"\ne42157,2022/06/11,lunch,steak,\ne42158,2022/06/11,dinner,chinese food,\ne42165,2022/06/12,breakfast,peanut-butter-jam,\ne42166,2022/06/12,lunch,sushi,\"Avery, Nevaeh, Piper\"\ne42167,2022/06/12,dinner,chinese food,\ne42175,2022/06/13,breakfast,pancakes,Benjamin\ne42176,2022/06/13,lunch,pasta,\"Hazel, Olivia, Avery, Kinsley, Nevaeh, Piper, Eva, Nora, Claire, Piper, Layla, Lydia, Rylee\"\ne42177,2022/06/13,dinner,sushi,\"Piper, Piper, Nevaeh, Hazel, Eva, Avery, Claire\"\ne42185,2022/06/14,breakfast,pancakes,\ne42186,2022/06/14,lunch,steak,\ne42187,2022/06/14,dinner,pasta,\"Andrew, Kayden, Carter, Emily\"\ne42195,2022/06/15,breakfast,peanut-butter-jam,\ne42196,2022/06/15,lunch,fish and chips,Benjamin\ne42197,2022/06/15,dinner,sushi,\"Claire, Nevaeh, Piper, Olivia, Layla, Lydia, Nora, Rylee, Kinsley, Eva, Piper, Hazel, Avery\"\ne42205,2022/06/16,breakfast,pancakes,\ne42206,2022/06/16,lunch,sandwich,\"Willow, Jackson, Benjamin, Avery\"\ne42207,2022/06/16,dinner,fish and chips,\ne42214,2022/06/17,breakfast,cereals,\"Avery, Jackson, Willow\"\ne42215,2022/06/17,lunch,sushi,\ne42216,2022/06/17,dinner,steak,\ne42222,2022/06/18,breakfast,toast and cheese,\ne42223,2022/06/18,lunch,steak,\"Willow, Benjamin, Avery\"\ne42224,2022/06/18,dinner,indian food,\"Piper, Layla, Rylee, Hazel, Lydia, Avery, Eva\"\ne42232,2022/06/19,breakfast,pancakes,\"Willow, Jackson, Avery, Benjamin\"\ne42233,2022/06/19,lunch,steak,\ne42234,2022/06/19,dinner,chinese food,\ne42240,2022/06/20,breakfast,pancakes,\"Rylee, Lydia, Olivia, Hazel, Claire, Nora, Avery, Layla, Eva\"\ne42241,2022/06/20,lunch,tacos,\ne42242,2022/06/20,dinner,sushi,\ne42248,2022/06/21,breakfast,toast and cheese,Willow\ne42249,2022/06/21,lunch,sandwich,\ne42250,2022/06/21,dinner,sandwich,\ne42258,2022/06/22,breakfast,oatmeal,\"Andrew, Kayden, Carter\"\ne42259,2022/06/22,lunch,fish and chips,\"Andrew, Emily, Kayden, Carter\"\ne42260,2022/06/22,dinner,a burger,\ne42267,2022/06/23,breakfast,\"eggs, sausages, and bread\",\ne42268,2022/06/23,lunch,pasta,Layla\ne42269,2022/06/23,dinner,chinese food,\ne42276,2022/06/24,breakfast,peanut-butter-jam,\"Carter, Emily\"\ne42277,2022/06/24,lunch,a burger,\ne42278,2022/06/24,dinner,chinese food,\"Avery, Willow, Jackson, Benjamin\"\ne42283,2022/06/25,breakfast,peanut-butter-jam,\"Benjamin, Willow, Jackson, Avery\"\ne42284,2022/06/25,lunch,sushi,\ne42285,2022/06/25,dinner,sandwich,\"Avery, Willow, Benjamin, Jackson\"\ne42292,2022/06/26,breakfast,cereals,\"Carter, Andrew, Emily\"\ne42293,2022/06/26,lunch,sushi,\ne42294,2022/06/26,dinner,a burger,\ne42302,2022/06/27,breakfast,\"eggs, sausages, and bread\",\ne42303,2022/06/27,lunch,steak,\"Piper, Avery, Kinsley, Rylee, Eva, Claire, Nevaeh, Hazel, Nora\"\ne42304,2022/06/27,dinner,pasta,\ne42310,2022/06/28,breakfast,oatmeal,Eva\ne42311,2022/06/28,lunch,sandwich,\ne42312,2022/06/28,dinner,indian food,\ne42319,2022/06/29,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily, Kayden, Andrew\"\ne42320,2022/06/29,lunch,chinese food,\"Willow, Jackson, Benjamin\"\ne42321,2022/06/29,dinner,fish and chips,\ne42327,2022/06/30,breakfast,peanut-butter-jam,\"Kayden, Emily, Andrew\"\ne42328,2022/06/30,lunch,pasta,\ne42329,2022/06/30,dinner,chinese food,\ne42335,2022/07/01,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Emily\"\ne42336,2022/07/01,lunch,sandwich,\ne42337,2022/07/01,dinner,a burger,\ne42343,2022/07/02,breakfast,toast and cheese,\"Benjamin, Avery, Willow, Jackson\"\ne42344,2022/07/02,lunch,indian food,\"Jackson, Willow\"\ne42345,2022/07/02,dinner,chinese food,\ne42352,2022/07/03,breakfast,pancakes,\ne42353,2022/07/03,lunch,pasta,\"Lydia, Avery, Nora, Piper, Layla, Kinsley, Eva, Rylee, Hazel, Claire, Nevaeh\"\ne42354,2022/07/03,dinner,indian food,\"Avery, Benjamin, Willow, Jackson\"\ne42360,2022/07/04,breakfast,peanut-butter-jam,\ne42361,2022/07/04,lunch,sushi,\"Piper, Nora, Lydia, Rylee, Olivia\"\ne42362,2022/07/04,dinner,indian food,\ne42370,2022/07/05,breakfast,cereals,\ne42371,2022/07/05,lunch,a burger,\"Avery, Layla, Rylee, Nora, Kinsley, Eva, Lydia, Olivia\"\ne42372,2022/07/05,dinner,pasta,\ne42378,2022/07/06,breakfast,\"eggs, sausages, and bread\",\ne42379,2022/07/06,lunch,fish and chips,\ne42380,2022/07/06,dinner,sandwich,\ne42387,2022/07/07,breakfast,pancakes,\ne42388,2022/07/07,lunch,sandwich,\ne42389,2022/07/07,dinner,fish and chips,\"Rylee, Eva, Layla, Claire, Lydia, Kinsley, Piper, Piper, Olivia, Avery, Hazel\"\ne42396,2022/07/08,breakfast,pancakes,\ne42397,2022/07/08,lunch,sushi,\ne42398,2022/07/08,dinner,indian food,\ne42405,2022/07/09,breakfast,\"eggs, sausages, and bread\",\"Avery, Nora, Kinsley, Claire, Olivia, Piper, Layla, Rylee\"\ne42406,2022/07/09,lunch,fish and chips,Kayden\ne42407,2022/07/09,dinner,a burger,\"Jackson, Avery, Benjamin, Willow\"\ne42413,2022/07/10,breakfast,peanut-butter-jam,\ne42414,2022/07/10,lunch,sushi,\"Kinsley, Piper, Nora, Eva, Hazel, Lydia, Rylee, Piper, Layla, Olivia, Avery\"\ne42415,2022/07/10,dinner,fish and chips,\ne42422,2022/07/11,breakfast,toast and cheese,\"Layla, Rylee, Nevaeh\"\ne42423,2022/07/11,lunch,indian food,\"Kayden, Andrew\"\ne42424,2022/07/11,dinner,a burger,\"Andrew, Kayden\"\ne42430,2022/07/12,breakfast,peanut-butter-jam,\"Kayden, Emily, Andrew\"\ne42431,2022/07/12,lunch,sandwich,\ne42432,2022/07/12,dinner,tacos,\ne42439,2022/07/13,breakfast,toast and cheese,\ne42440,2022/07/13,lunch,tacos,\ne42441,2022/07/13,dinner,chinese food,\"Kayden, Andrew\"\ne42449,2022/07/14,breakfast,peanut-butter-jam,\ne42450,2022/07/14,lunch,pasta,\ne42451,2022/07/14,dinner,pasta,\ne42457,2022/07/15,breakfast,toast and cheese,\ne42458,2022/07/15,lunch,sushi,\ne42459,2022/07/15,dinner,chinese food,\"Carter, Andrew, Kayden, Emily\"\ne42466,2022/07/16,breakfast,peanut-butter-jam,\ne42467,2022/07/16,lunch,sandwich,\ne42468,2022/07/16,dinner,fish and chips,\ne42474,2022/07/17,breakfast,pancakes,\ne42475,2022/07/17,lunch,indian food,\ne42476,2022/07/17,dinner,chinese food,\"Piper, Claire, Avery, Kinsley, Eva, Lydia, Hazel, Layla, Nevaeh, Olivia, Nora, Rylee\"\ne42483,2022/07/18,breakfast,toast and cheese,\"Eva, Avery, Piper, Hazel, Nevaeh, Piper, Claire, Layla, Nora, Lydia, Rylee\"\ne42484,2022/07/18,lunch,pasta,\ne42485,2022/07/18,dinner,sushi,\ne42491,2022/07/19,breakfast,cereals,\"Carter, Andrew, Emily, Kayden\"\ne42492,2022/07/19,lunch,sushi,\ne42493,2022/07/19,dinner,fish and chips,Emily\ne42498,2022/07/20,breakfast,oatmeal,\ne42499,2022/07/20,lunch,sushi,\"Claire, Lydia, Nevaeh, Piper, Olivia, Nora, Layla, Kinsley, Hazel, Eva, Rylee\"\ne42500,2022/07/20,dinner,indian food,\ne42506,2022/07/21,breakfast,peanut-butter-jam,\ne42507,2022/07/21,lunch,pasta,\ne42508,2022/07/21,dinner,sandwich,\"Avery, Piper, Layla, Eva, Kinsley, Piper, Rylee, Claire, Nora, Olivia, Lydia, Hazel, Nevaeh\"\ne42515,2022/07/22,breakfast,toast and cheese,Andrew\ne42516,2022/07/22,lunch,pasta,\ne42517,2022/07/22,dinner,sandwich,\ne42523,2022/07/23,breakfast,peanut-butter-jam,\ne42524,2022/07/23,lunch,pasta,\"Carter, Kayden\"\ne42525,2022/07/23,dinner,a burger,\ne42533,2022/07/24,breakfast,oatmeal,\"Andrew, Emily, Kayden\"\ne42534,2022/07/24,lunch,a burger,\ne42535,2022/07/24,dinner,tacos,\ne42542,2022/07/25,breakfast,oatmeal,\ne42543,2022/07/25,lunch,chinese food,\ne42544,2022/07/25,dinner,fish and chips,\ne42552,2022/07/26,breakfast,pancakes,\ne42553,2022/07/26,lunch,sandwich,\ne42554,2022/07/26,dinner,chinese food,\ne42561,2022/07/27,breakfast,\"eggs, sausages, and bread\",\ne42562,2022/07/27,lunch,sandwich,\"Emily, Andrew\"\ne42563,2022/07/27,dinner,a burger,\"Avery, Nora, Rylee, Kinsley, Eva, Hazel, Nevaeh, Layla, Lydia, Piper, Olivia, Claire\"\ne42568,2022/07/28,breakfast,oatmeal,\ne42569,2022/07/28,lunch,tacos,\"Avery, Benjamin, Willow, Jackson\"\ne42570,2022/07/28,dinner,fish and chips,\"Eva, Piper, Hazel, Piper, Olivia, Kinsley, Rylee, Nevaeh, Nora, Claire, Lydia, Layla\"\ne42577,2022/07/29,breakfast,pancakes,\ne42578,2022/07/29,lunch,indian food,Kayden\ne42579,2022/07/29,dinner,a burger,\ne42584,2022/07/30,breakfast,oatmeal,\ne42585,2022/07/30,lunch,fish and chips,\ne42586,2022/07/30,dinner,sandwich,\ne42593,2022/07/31,breakfast,cereals,\"Jackson, Avery, Benjamin, Willow\"\ne42594,2022/07/31,lunch,chinese food,\ne42595,2022/07/31,dinner,sandwich,\ne42601,2022/08/01,breakfast,toast and cheese,\ne42602,2022/08/01,lunch,fish and chips,\ne42603,2022/08/01,dinner,tacos,\ne42611,2022/08/02,breakfast,toast and cheese,\"Piper, Hazel, Lydia, Kinsley, Piper, Layla, Claire, Nora, Rylee, Eva, Avery\"\ne42612,2022/08/02,lunch,tacos,\ne42613,2022/08/02,dinner,sandwich,\ne42619,2022/08/03,breakfast,pancakes,\ne42620,2022/08/03,lunch,chinese food,\ne42621,2022/08/03,dinner,sushi,\"Andrew, Carter\"\ne42627,2022/08/04,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew\"\ne42628,2022/08/04,lunch,a burger,\ne42629,2022/08/04,dinner,sandwich,\ne42636,2022/08/05,breakfast,pancakes,\ne42637,2022/08/05,lunch,sushi,\ne42638,2022/08/05,dinner,sushi,\ne42645,2022/08/06,breakfast,pancakes,\"Lydia, Olivia, Piper, Rylee, Eva, Claire\"\ne42646,2022/08/06,lunch,indian food,\ne42647,2022/08/06,dinner,fish and chips,\"Nora, Olivia, Kinsley, Piper, Hazel, Piper, Rylee, Nevaeh, Lydia, Avery, Eva\"\ne42655,2022/08/07,breakfast,oatmeal,\"Piper, Kinsley, Eva, Piper, Olivia, Lydia, Avery, Rylee, Claire\"\ne42656,2022/08/07,lunch,sushi,\"Andrew, Emily, Kayden, Carter\"\ne42657,2022/08/07,dinner,a burger,\ne42662,2022/08/08,breakfast,toast and cheese,\ne42663,2022/08/08,lunch,sandwich,Emily\ne42664,2022/08/08,dinner,indian food,\ne42671,2022/08/09,breakfast,cereals,\ne42672,2022/08/09,lunch,sandwich,\"Emily, Kayden, Andrew\"\ne42673,2022/08/09,dinner,chinese food,\ne42681,2022/08/10,breakfast,cereals,\ne42682,2022/08/10,lunch,indian food,\"Carter, Kayden, Emily\"\ne42683,2022/08/10,dinner,pasta,\ne42690,2022/08/11,breakfast,cereals,\ne42691,2022/08/11,lunch,a burger,\ne42692,2022/08/11,dinner,steak,\ne42699,2022/08/12,breakfast,\"eggs, sausages, and bread\",\ne42700,2022/08/12,lunch,chinese food,\ne42701,2022/08/12,dinner,fish and chips,\"Willow, Jackson\"\ne42709,2022/08/13,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden, Carter\"\ne42710,2022/08/13,lunch,sushi,\"Jackson, Benjamin, Avery\"\ne42711,2022/08/13,dinner,steak,\"Rylee, Hazel, Nevaeh, Nora, Kinsley, Lydia, Claire, Piper, Layla, Eva, Olivia, Piper\"\ne42716,2022/08/14,breakfast,\"eggs, sausages, and bread\",\ne42717,2022/08/14,lunch,a burger,\ne42718,2022/08/14,dinner,pasta,\ne42725,2022/08/15,breakfast,\"eggs, sausages, and bread\",\"Eva, Hazel\"\ne42726,2022/08/15,lunch,steak,\ne42727,2022/08/15,dinner,sandwich,\"Olivia, Nora, Avery, Piper\"\ne42734,2022/08/16,breakfast,peanut-butter-jam,\ne42735,2022/08/16,lunch,tacos,\ne42736,2022/08/16,dinner,tacos,\ne42743,2022/08/17,breakfast,toast and cheese,\ne42744,2022/08/17,lunch,a burger,\ne42745,2022/08/17,dinner,sushi,\ne42752,2022/08/18,breakfast,\"eggs, sausages, and bread\",Andrew\ne42753,2022/08/18,lunch,steak,\"Carter, Emily, Kayden, Andrew\"\ne42754,2022/08/18,dinner,fish and chips,\ne42761,2022/08/19,breakfast,peanut-butter-jam,\ne42762,2022/08/19,lunch,tacos,\ne42763,2022/08/19,dinner,steak,\"Andrew, Carter\"\ne42769,2022/08/20,breakfast,cereals,\ne42770,2022/08/20,lunch,chinese food,\ne42771,2022/08/20,dinner,tacos,\"Avery, Nevaeh\"\ne42778,2022/08/21,breakfast,oatmeal,\ne42779,2022/08/21,lunch,indian food,\ne42780,2022/08/21,dinner,sandwich,\"Jackson, Benjamin, Willow, Avery\"\ne42787,2022/08/22,breakfast,toast and cheese,\"Kinsley, Olivia, Piper, Layla, Avery, Piper, Eva, Nora, Hazel, Claire, Rylee, Lydia\"\ne42788,2022/08/22,lunch,indian food,\ne42789,2022/08/22,dinner,sandwich,\ne42795,2022/08/23,breakfast,oatmeal,\"Layla, Avery, Lydia, Hazel, Rylee, Piper, Nora, Nevaeh, Olivia\"\ne42796,2022/08/23,lunch,pasta,\ne42797,2022/08/23,dinner,pasta,\ne42803,2022/08/24,breakfast,pancakes,\ne42804,2022/08/24,lunch,sushi,\ne42805,2022/08/24,dinner,tacos,\"Avery, Benjamin, Willow\"\ne42812,2022/08/25,breakfast,peanut-butter-jam,\ne42813,2022/08/25,lunch,chinese food,Kayden\ne42814,2022/08/25,dinner,sandwich,\ne42820,2022/08/26,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Willow, Jackson, Avery\"\ne42821,2022/08/26,lunch,steak,\"Andrew, Carter, Kayden, Emily\"\ne42822,2022/08/26,dinner,a burger,\ne42830,2022/08/27,breakfast,\"eggs, sausages, and bread\",\"Lydia, Avery, Hazel, Eva, Piper, Nevaeh, Claire, Piper\"\ne42831,2022/08/27,lunch,a burger,\ne42832,2022/08/27,dinner,sandwich,\ne42840,2022/08/28,breakfast,cereals,\"Rylee, Avery, Layla, Claire, Nevaeh, Piper, Piper, Kinsley, Hazel, Olivia, Nora\"\ne42841,2022/08/28,lunch,tacos,\ne42842,2022/08/28,dinner,pasta,\ne42849,2022/08/29,breakfast,oatmeal,\ne42850,2022/08/29,lunch,steak,\ne42851,2022/08/29,dinner,fish and chips,\ne42857,2022/08/30,breakfast,toast and cheese,Jackson\ne42858,2022/08/30,lunch,fish and chips,\ne42859,2022/08/30,dinner,sandwich,\ne42866,2022/08/31,breakfast,pancakes,\ne42867,2022/08/31,lunch,steak,\ne42868,2022/08/31,dinner,a burger,\"Piper, Rylee, Layla, Piper, Kinsley, Claire, Nevaeh, Lydia, Olivia\"\ne42874,2022/09/01,breakfast,cereals,\ne42875,2022/09/01,lunch,a burger,\"Avery, Jackson, Willow\"\ne42876,2022/09/01,dinner,chinese food,\ne42883,2022/09/02,breakfast,toast and cheese,\ne42884,2022/09/02,lunch,sandwich,\ne42885,2022/09/02,dinner,chinese food,Avery\ne42890,2022/09/03,breakfast,cereals,\"Lydia, Layla, Hazel, Avery, Nevaeh, Claire, Piper, Olivia, Nora\"\ne42891,2022/09/03,lunch,pasta,\ne42892,2022/09/03,dinner,sushi,\ne42899,2022/09/04,breakfast,cereals,\ne42900,2022/09/04,lunch,steak,\ne42901,2022/09/04,dinner,chinese food,\"Avery, Piper, Claire, Layla\"\ne42907,2022/09/05,breakfast,pancakes,\"Emily, Kayden, Carter\"\ne42908,2022/09/05,lunch,steak,\ne42909,2022/09/05,dinner,tacos,\"Carter, Kayden\"\ne42916,2022/09/06,breakfast,cereals,Jackson\ne42917,2022/09/06,lunch,indian food,\ne42918,2022/09/06,dinner,a burger,\ne42924,2022/09/07,breakfast,peanut-butter-jam,\ne42925,2022/09/07,lunch,sushi,\"Claire, Kinsley, Piper, Nevaeh, Hazel, Nora, Layla, Lydia, Avery, Piper, Rylee, Olivia, Eva\"\ne42926,2022/09/07,dinner,pasta,\ne42932,2022/09/08,breakfast,toast and cheese,\"Eva, Olivia, Lydia, Layla, Nevaeh, Kinsley, Piper, Hazel, Avery, Claire, Rylee\"\ne42933,2022/09/08,lunch,sushi,\ne42934,2022/09/08,dinner,sushi,\ne42939,2022/09/09,breakfast,\"eggs, sausages, and bread\",\"Lydia, Eva, Nevaeh, Claire, Nora, Olivia, Piper\"\ne42940,2022/09/09,lunch,fish and chips,\"Piper, Nora, Nevaeh, Avery, Eva, Claire, Olivia\"\ne42941,2022/09/09,dinner,sushi,Willow\ne42949,2022/09/10,breakfast,oatmeal,\"Andrew, Carter, Kayden, Emily\"\ne42950,2022/09/10,lunch,steak,\"Rylee, Avery, Nora, Piper, Claire, Eva, Hazel, Nevaeh, Layla, Piper, Olivia, Lydia\"\ne42951,2022/09/10,dinner,sushi,\ne42957,2022/09/11,breakfast,oatmeal,\ne42958,2022/09/11,lunch,sushi,\ne42959,2022/09/11,dinner,sushi,\ne42965,2022/09/12,breakfast,oatmeal,\ne42966,2022/09/12,lunch,fish and chips,\"Eva, Hazel, Nora, Kinsley, Avery\"\ne42967,2022/09/12,dinner,indian food,\ne42974,2022/09/13,breakfast,\"eggs, sausages, and bread\",\ne42975,2022/09/13,lunch,sandwich,\ne42976,2022/09/13,dinner,fish and chips,\"Kayden, Andrew\"\ne42983,2022/09/14,breakfast,cereals,\ne42984,2022/09/14,lunch,tacos,\ne42985,2022/09/14,dinner,sushi,\ne42991,2022/09/15,breakfast,oatmeal,\ne42992,2022/09/15,lunch,a burger,\"Carter, Kayden, Emily, Andrew\"\ne42993,2022/09/15,dinner,steak,\"Carter, Andrew\"\ne43000,2022/09/16,breakfast,oatmeal,Andrew\ne43001,2022/09/16,lunch,a burger,\"Willow, Benjamin, Jackson, Avery\"\ne43002,2022/09/16,dinner,pasta,\"Kayden, Emily, Carter\"\ne43009,2022/09/17,breakfast,cereals,\ne43010,2022/09/17,lunch,a burger,\ne43011,2022/09/17,dinner,fish and chips,\"Carter, Emily, Andrew, Kayden\"\ne43018,2022/09/18,breakfast,cereals,\ne43019,2022/09/18,lunch,indian food,\ne43020,2022/09/18,dinner,a burger,\"Kayden, Carter, Andrew\"\ne43027,2022/09/19,breakfast,peanut-butter-jam,\ne43028,2022/09/19,lunch,steak,\ne43029,2022/09/19,dinner,sushi,\ne43035,2022/09/20,breakfast,cereals,Andrew\ne43036,2022/09/20,lunch,steak,\ne43037,2022/09/20,dinner,pasta,\ne43043,2022/09/21,breakfast,toast and cheese,\ne43044,2022/09/21,lunch,tacos,\"Kayden, Andrew, Emily\"\ne43045,2022/09/21,dinner,tacos,\"Andrew, Kayden, Emily, Carter\"\ne43052,2022/09/22,breakfast,toast and cheese,\"Kayden, Carter\"\ne43053,2022/09/22,lunch,fish and chips,\ne43054,2022/09/22,dinner,steak,\"Andrew, Carter, Emily, Kayden\"\ne43061,2022/09/23,breakfast,cereals,\"Lydia, Rylee, Layla, Avery\"\ne43062,2022/09/23,lunch,indian food,\ne43063,2022/09/23,dinner,sandwich,\ne43071,2022/09/24,breakfast,toast and cheese,\ne43072,2022/09/24,lunch,a burger,\"Jackson, Avery\"\ne43073,2022/09/24,dinner,steak,Carter\ne43080,2022/09/25,breakfast,cereals,\ne43081,2022/09/25,lunch,indian food,\"Carter, Kayden, Andrew, Emily\"\ne43082,2022/09/25,dinner,indian food,\ne43087,2022/09/26,breakfast,pancakes,\ne43088,2022/09/26,lunch,sandwich,\ne43089,2022/09/26,dinner,tacos,\"Piper, Eva, Rylee, Nora\"\ne43097,2022/09/27,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew\"\ne43098,2022/09/27,lunch,tacos,\ne43099,2022/09/27,dinner,fish and chips,\ne43106,2022/09/28,breakfast,\"eggs, sausages, and bread\",\"Lydia, Piper, Avery, Nevaeh, Piper, Nora, Hazel\"\ne43107,2022/09/28,lunch,a burger,\"Benjamin, Willow\"\ne43108,2022/09/28,dinner,sushi,\ne43115,2022/09/29,breakfast,pancakes,\ne43116,2022/09/29,lunch,sandwich,\ne43117,2022/09/29,dinner,sushi,\ne43125,2022/09/30,breakfast,cereals,\ne43126,2022/09/30,lunch,chinese food,\"Kayden, Carter, Andrew\"\ne43127,2022/09/30,dinner,sandwich,\ne43134,2022/10/01,breakfast,cereals,\ne43135,2022/10/01,lunch,steak,\ne43136,2022/10/01,dinner,a burger,\ne43142,2022/10/02,breakfast,\"eggs, sausages, and bread\",\ne43143,2022/10/02,lunch,chinese food,\"Kinsley, Piper, Nora, Olivia, Lydia, Nevaeh, Claire, Piper, Hazel, Avery, Layla\"\ne43144,2022/10/02,dinner,chinese food,Claire\ne43151,2022/10/03,breakfast,oatmeal,\ne43152,2022/10/03,lunch,indian food,\ne43153,2022/10/03,dinner,steak,\ne43159,2022/10/04,breakfast,peanut-butter-jam,\ne43160,2022/10/04,lunch,tacos,\ne43161,2022/10/04,dinner,indian food,\"Kinsley, Eva, Hazel, Piper, Avery, Nora, Lydia, Layla, Claire, Olivia\"\ne43167,2022/10/05,breakfast,peanut-butter-jam,\ne43168,2022/10/05,lunch,steak,\ne43169,2022/10/05,dinner,tacos,\ne43176,2022/10/06,breakfast,toast and cheese,\ne43177,2022/10/06,lunch,steak,\ne43178,2022/10/06,dinner,a burger,\"Jackson, Benjamin, Avery, Willow\"\ne43185,2022/10/07,breakfast,pancakes,\ne43186,2022/10/07,lunch,steak,\ne43187,2022/10/07,dinner,chinese food,\ne43193,2022/10/08,breakfast,peanut-butter-jam,\"Carter, Andrew, Kayden, Emily\"\ne43194,2022/10/08,lunch,steak,\ne43195,2022/10/08,dinner,sandwich,\ne43202,2022/10/09,breakfast,oatmeal,\"Eva, Avery, Claire, Layla, Lydia, Kinsley, Nevaeh, Piper, Piper, Olivia, Hazel, Nora, Rylee\"\ne43203,2022/10/09,lunch,pasta,Layla\ne43204,2022/10/09,dinner,a burger,Kayden\ne43211,2022/10/10,breakfast,pancakes,Avery\ne43212,2022/10/10,lunch,pasta,\ne43213,2022/10/10,dinner,tacos,\"Carter, Andrew, Emily, Kayden\"\ne43220,2022/10/11,breakfast,pancakes,\ne43221,2022/10/11,lunch,pasta,\ne43222,2022/10/11,dinner,sushi,\ne43228,2022/10/12,breakfast,\"eggs, sausages, and bread\",\ne43229,2022/10/12,lunch,a burger,\"Emily, Andrew, Kayden\"\ne43230,2022/10/12,dinner,sandwich,\"Andrew, Emily, Carter, Kayden\"\ne43237,2022/10/13,breakfast,pancakes,\"Andrew, Emily\"\ne43238,2022/10/13,lunch,chinese food,\ne43239,2022/10/13,dinner,sushi,\"Kayden, Andrew, Emily\"\ne43246,2022/10/14,breakfast,oatmeal,Carter\ne43247,2022/10/14,lunch,tacos,\ne43248,2022/10/14,dinner,a burger,\ne43256,2022/10/15,breakfast,\"eggs, sausages, and bread\",\ne43257,2022/10/15,lunch,indian food,\ne43258,2022/10/15,dinner,pasta,\ne43266,2022/10/16,breakfast,peanut-butter-jam,\"Avery, Nora, Hazel\"\ne43267,2022/10/16,lunch,chinese food,\"Hazel, Nevaeh, Eva, Kinsley\"\ne43268,2022/10/16,dinner,chinese food,\ne43275,2022/10/17,breakfast,pancakes,\ne43276,2022/10/17,lunch,chinese food,\ne43277,2022/10/17,dinner,a burger,\"Nevaeh, Lydia, Avery, Kinsley, Layla, Eva, Olivia, Nora, Rylee, Claire, Piper, Hazel, Piper\"\ne43282,2022/10/18,breakfast,peanut-butter-jam,\ne43283,2022/10/18,lunch,sandwich,\ne43284,2022/10/18,dinner,a burger,\"Nevaeh, Rylee, Avery, Hazel, Layla, Olivia\"\ne43291,2022/10/19,breakfast,peanut-butter-jam,\"Nora, Piper, Avery, Olivia, Kinsley, Hazel, Lydia, Claire, Piper, Rylee, Nevaeh, Eva\"\ne43292,2022/10/19,lunch,sushi,\ne43293,2022/10/19,dinner,fish and chips,\ne43299,2022/10/20,breakfast,\"eggs, sausages, and bread\",\ne43300,2022/10/20,lunch,sandwich,Jackson\ne43301,2022/10/20,dinner,a burger,\"Nevaeh, Olivia, Eva, Avery, Lydia\"\ne43307,2022/10/21,breakfast,oatmeal,\ne43308,2022/10/21,lunch,sandwich,\"Willow, Avery\"\ne43309,2022/10/21,dinner,steak,\ne43316,2022/10/22,breakfast,cereals,Emily\ne43317,2022/10/22,lunch,sushi,\ne43318,2022/10/22,dinner,tacos,\ne43325,2022/10/23,breakfast,oatmeal,\ne43326,2022/10/23,lunch,a burger,\ne43327,2022/10/23,dinner,steak,\ne43332,2022/10/24,breakfast,oatmeal,\ne43333,2022/10/24,lunch,chinese food,\ne43334,2022/10/24,dinner,sandwich,\"Nora, Hazel, Piper, Lydia, Piper, Layla, Olivia, Eva, Nevaeh, Kinsley, Claire, Rylee, Avery\"\ne43341,2022/10/25,breakfast,\"eggs, sausages, and bread\",\"Emily, Andrew, Kayden\"\ne43342,2022/10/25,lunch,pasta,\ne43343,2022/10/25,dinner,pasta,\"Piper, Claire, Piper\"\ne43349,2022/10/26,breakfast,\"eggs, sausages, and bread\",\ne43350,2022/10/26,lunch,pasta,\"Carter, Andrew\"\ne43351,2022/10/26,dinner,tacos,\ne43358,2022/10/27,breakfast,pancakes,\"Piper, Rylee\"\ne43359,2022/10/27,lunch,pasta,\ne43360,2022/10/27,dinner,steak,\ne43366,2022/10/28,breakfast,cereals,\"Andrew, Kayden\"\ne43367,2022/10/28,lunch,fish and chips,\"Avery, Nevaeh, Lydia, Layla, Kinsley, Eva\"\ne43368,2022/10/28,dinner,sandwich,\ne43374,2022/10/29,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden, Emily\"\ne43375,2022/10/29,lunch,sandwich,\ne43376,2022/10/29,dinner,chinese food,\ne43383,2022/10/30,breakfast,cereals,\ne43384,2022/10/30,lunch,a burger,\ne43385,2022/10/30,dinner,chinese food,\ne43392,2022/10/31,breakfast,pancakes,\"Willow, Avery, Benjamin\"\ne43393,2022/10/31,lunch,pasta,\"Andrew, Kayden, Carter\"\ne43394,2022/10/31,dinner,chinese food,\"Andrew, Kayden, Carter\"\ne43401,2022/11/01,breakfast,peanut-butter-jam,\ne43402,2022/11/01,lunch,steak,Jackson\ne43403,2022/11/01,dinner,sandwich,\ne43409,2022/11/02,breakfast,oatmeal,\ne43410,2022/11/02,lunch,fish and chips,\"Hazel, Eva, Kinsley, Piper, Piper, Lydia\"\ne43411,2022/11/02,dinner,sushi,\ne43418,2022/11/03,breakfast,toast and cheese,\"Hazel, Kinsley\"\ne43419,2022/11/03,lunch,tacos,\ne43420,2022/11/03,dinner,tacos,\"Kayden, Emily, Carter\"\ne43427,2022/11/04,breakfast,cereals,Nora\ne43428,2022/11/04,lunch,chinese food,\ne43429,2022/11/04,dinner,tacos,\"Emily, Carter, Andrew, Kayden\"\ne43436,2022/11/05,breakfast,\"eggs, sausages, and bread\",\ne43437,2022/11/05,lunch,indian food,\ne43438,2022/11/05,dinner,a burger,\"Claire, Olivia, Rylee, Lydia, Avery, Nevaeh\"\ne43445,2022/11/06,breakfast,oatmeal,\ne43446,2022/11/06,lunch,a burger,\"Kayden, Carter, Emily\"\ne43447,2022/11/06,dinner,indian food,\ne43455,2022/11/07,breakfast,\"eggs, sausages, and bread\",\ne43456,2022/11/07,lunch,chinese food,\ne43457,2022/11/07,dinner,sandwich,\ne43464,2022/11/08,breakfast,peanut-butter-jam,\ne43465,2022/11/08,lunch,sushi,\ne43466,2022/11/08,dinner,indian food,\ne43474,2022/11/09,breakfast,pancakes,\"Kayden, Carter, Emily, Andrew\"\ne43475,2022/11/09,lunch,a burger,\ne43476,2022/11/09,dinner,a burger,\"Lydia, Nora, Avery, Piper, Layla, Hazel, Claire\"\ne43483,2022/11/10,breakfast,pancakes,Lydia\ne43484,2022/11/10,lunch,steak,\"Nevaeh, Olivia, Avery, Rylee, Kinsley, Piper, Claire, Piper, Hazel, Layla\"\ne43485,2022/11/10,dinner,sushi,\ne43493,2022/11/11,breakfast,cereals,\ne43494,2022/11/11,lunch,tacos,\ne43495,2022/11/11,dinner,pasta,\ne43503,2022/11/12,breakfast,\"eggs, sausages, and bread\",\ne43504,2022/11/12,lunch,sandwich,\"Andrew, Carter\"\ne43505,2022/11/12,dinner,indian food,\ne43512,2022/11/13,breakfast,toast and cheese,\"Kayden, Andrew\"\ne43513,2022/11/13,lunch,fish and chips,\ne43514,2022/11/13,dinner,pasta,\ne43521,2022/11/14,breakfast,cereals,\ne43522,2022/11/14,lunch,a burger,\"Kayden, Andrew\"\ne43523,2022/11/14,dinner,fish and chips,\"Andrew, Carter, Emily\"\ne43530,2022/11/15,breakfast,toast and cheese,\"Lydia, Eva, Olivia\"\ne43531,2022/11/15,lunch,indian food,\"Kayden, Andrew\"\ne43532,2022/11/15,dinner,tacos,\ne43540,2022/11/16,breakfast,oatmeal,\ne43541,2022/11/16,lunch,sushi,\ne43542,2022/11/16,dinner,fish and chips,\ne43548,2022/11/17,breakfast,pancakes,\ne43549,2022/11/17,lunch,sushi,\"Rylee, Piper, Kinsley, Hazel, Nevaeh, Lydia\"\ne43550,2022/11/17,dinner,tacos,\ne43556,2022/11/18,breakfast,cereals,\"Kayden, Carter, Andrew\"\ne43557,2022/11/18,lunch,chinese food,\ne43558,2022/11/18,dinner,tacos,Andrew\ne43565,2022/11/19,breakfast,peanut-butter-jam,\ne43566,2022/11/19,lunch,steak,\ne43567,2022/11/19,dinner,pasta,\ne43575,2022/11/20,breakfast,pancakes,\ne43576,2022/11/20,lunch,fish and chips,\"Jackson, Avery, Benjamin, Willow\"\ne43577,2022/11/20,dinner,chinese food,\ne43584,2022/11/21,breakfast,oatmeal,\"Andrew, Emily\"\ne43585,2022/11/21,lunch,pasta,\"Layla, Piper, Nevaeh, Nora, Olivia, Avery, Hazel, Kinsley, Claire\"\ne43586,2022/11/21,dinner,indian food,\ne43592,2022/11/22,breakfast,toast and cheese,\ne43593,2022/11/22,lunch,sushi,\"Claire, Nora, Eva, Hazel, Avery, Lydia, Piper, Rylee, Piper, Layla\"\ne43594,2022/11/22,dinner,indian food,\ne43601,2022/11/23,breakfast,oatmeal,\ne43602,2022/11/23,lunch,chinese food,Andrew\ne43603,2022/11/23,dinner,sandwich,Andrew\ne43610,2022/11/24,breakfast,cereals,Benjamin\ne43611,2022/11/24,lunch,chinese food,\ne43612,2022/11/24,dinner,tacos,\ne43619,2022/11/25,breakfast,oatmeal,\ne43620,2022/11/25,lunch,chinese food,\"Avery, Benjamin, Jackson\"\ne43621,2022/11/25,dinner,pasta,\ne43628,2022/11/26,breakfast,pancakes,\"Eva, Piper, Hazel, Nora, Piper, Layla, Nevaeh, Rylee, Olivia, Avery, Claire, Kinsley, Lydia\"\ne43629,2022/11/26,lunch,sushi,\"Emily, Kayden\"\ne43630,2022/11/26,dinner,pasta,\ne43636,2022/11/27,breakfast,cereals,\"Piper, Lydia, Hazel, Piper, Avery, Kinsley, Layla, Rylee, Eva\"\ne43637,2022/11/27,lunch,indian food,\"Hazel, Nora, Avery, Kinsley\"\ne43638,2022/11/27,dinner,fish and chips,\"Andrew, Kayden, Carter, Emily\"\ne43644,2022/11/28,breakfast,oatmeal,Willow\ne43645,2022/11/28,lunch,steak,\"Nevaeh, Olivia, Avery, Nora, Claire, Lydia, Layla, Hazel\"\ne43646,2022/11/28,dinner,chinese food,\ne43651,2022/11/29,breakfast,pancakes,\ne43652,2022/11/29,lunch,chinese food,\ne43653,2022/11/29,dinner,sushi,\ne43660,2022/11/30,breakfast,\"eggs, sausages, and bread\",\ne43661,2022/11/30,lunch,a burger,\ne43662,2022/11/30,dinner,chinese food,Andrew\ne43668,2022/12/01,breakfast,cereals,\"Emily, Carter, Kayden, Andrew\"\ne43669,2022/12/01,lunch,steak,\"Olivia, Claire, Avery\"\ne43670,2022/12/01,dinner,chinese food,\ne43675,2022/12/02,breakfast,cereals,\ne43676,2022/12/02,lunch,tacos,\ne43677,2022/12/02,dinner,pasta,\"Layla, Piper, Lydia, Olivia, Kinsley, Nora, Nevaeh, Rylee, Hazel, Avery, Piper, Eva, Claire\"\ne43684,2022/12/03,breakfast,toast and cheese,\ne43685,2022/12/03,lunch,tacos,\ne43686,2022/12/03,dinner,a burger,Emily\ne43693,2022/12/04,breakfast,toast and cheese,\ne43694,2022/12/04,lunch,sushi,\ne43695,2022/12/04,dinner,sandwich,\"Emily, Andrew, Carter, Kayden\"\ne43701,2022/12/05,breakfast,oatmeal,\"Andrew, Kayden, Carter, Emily\"\ne43702,2022/12/05,lunch,indian food,\"Andrew, Carter, Emily, Kayden\"\ne43703,2022/12/05,dinner,sushi,\ne43710,2022/12/06,breakfast,oatmeal,\ne43711,2022/12/06,lunch,tacos,\"Rylee, Claire, Lydia, Piper, Kinsley, Avery, Eva, Layla, Piper\"\ne43712,2022/12/06,dinner,sandwich,\"Kayden, Andrew, Emily\"\ne43718,2022/12/07,breakfast,peanut-butter-jam,\"Nora, Olivia, Nevaeh\"\ne43719,2022/12/07,lunch,sushi,\ne43720,2022/12/07,dinner,a burger,\ne43726,2022/12/08,breakfast,cereals,\ne43727,2022/12/08,lunch,sandwich,\"Piper, Nevaeh, Lydia, Olivia, Avery, Nora, Hazel, Layla, Claire\"\ne43728,2022/12/08,dinner,sandwich,\ne43734,2022/12/09,breakfast,peanut-butter-jam,\ne43735,2022/12/09,lunch,indian food,\ne43736,2022/12/09,dinner,sushi,\ne43743,2022/12/10,breakfast,cereals,\"Kayden, Emily, Andrew\"\ne43744,2022/12/10,lunch,chinese food,\ne43745,2022/12/10,dinner,chinese food,\ne43751,2022/12/11,breakfast,pancakes,\"Kayden, Andrew, Emily, Carter\"\ne43752,2022/12/11,lunch,pasta,\ne43753,2022/12/11,dinner,tacos,Carter\ne43759,2022/12/12,breakfast,toast and cheese,\"Emily, Kayden\"\ne43760,2022/12/12,lunch,fish and chips,\ne43761,2022/12/12,dinner,indian food,\"Kayden, Carter, Emily, Andrew\"\ne43766,2022/12/13,breakfast,cereals,\ne43767,2022/12/13,lunch,fish and chips,\"Avery, Jackson, Benjamin\"\ne43768,2022/12/13,dinner,indian food,\ne43775,2022/12/14,breakfast,toast and cheese,\ne43776,2022/12/14,lunch,a burger,\ne43777,2022/12/14,dinner,sandwich,Avery\ne43783,2022/12/15,breakfast,oatmeal,\"Nevaeh, Eva, Kinsley, Hazel, Lydia, Avery, Claire, Olivia, Layla\"\ne43784,2022/12/15,lunch,tacos,\ne43785,2022/12/15,dinner,pasta,\ne43792,2022/12/16,breakfast,peanut-butter-jam,\"Claire, Hazel, Olivia, Rylee, Piper, Avery, Kinsley, Nora, Lydia, Nevaeh, Eva, Layla, Piper\"\ne43793,2022/12/16,lunch,sandwich,\"Kayden, Andrew, Carter\"\ne43794,2022/12/16,dinner,sushi,\"Emily, Carter, Andrew\"\ne43802,2022/12/17,breakfast,oatmeal,\"Andrew, Emily, Kayden, Carter\"\ne43803,2022/12/17,lunch,sushi,\"Lydia, Layla, Piper, Eva, Nora, Olivia, Claire, Kinsley\"\ne43804,2022/12/17,dinner,chinese food,\ne43810,2022/12/18,breakfast,peanut-butter-jam,\"Avery, Benjamin\"\ne43811,2022/12/18,lunch,sushi,\ne43812,2022/12/18,dinner,chinese food,\ne43820,2022/12/19,breakfast,toast and cheese,\ne43821,2022/12/19,lunch,sushi,\"Carter, Andrew, Emily\"\ne43822,2022/12/19,dinner,fish and chips,\ne43829,2022/12/20,breakfast,peanut-butter-jam,\ne43830,2022/12/20,lunch,steak,\"Olivia, Piper, Avery, Lydia, Kinsley, Nevaeh, Hazel, Layla, Piper\"\ne43831,2022/12/20,dinner,a burger,\ne43839,2022/12/21,breakfast,peanut-butter-jam,\ne43840,2022/12/21,lunch,chinese food,\ne43841,2022/12/21,dinner,steak,\"Avery, Layla, Lydia, Piper, Piper, Olivia, Nevaeh, Eva, Nora, Hazel, Rylee\"\ne43847,2022/12/22,breakfast,peanut-butter-jam,\"Carter, Kayden, Andrew\"\ne43848,2022/12/22,lunch,a burger,\ne43849,2022/12/22,dinner,sandwich,\ne43855,2022/12/23,breakfast,pancakes,\"Nora, Piper, Olivia, Avery, Claire, Lydia\"\ne43856,2022/12/23,lunch,pasta,\"Nora, Piper, Eva, Avery, Kinsley, Piper, Layla, Rylee, Nevaeh, Lydia, Olivia\"\ne43857,2022/12/23,dinner,a burger,\ne43863,2022/12/24,breakfast,cereals,\"Andrew, Carter\"\ne43864,2022/12/24,lunch,indian food,\ne43865,2022/12/24,dinner,a burger,\"Kayden, Andrew, Carter\"\ne43872,2022/12/25,breakfast,cereals,\ne43873,2022/12/25,lunch,tacos,\"Lydia, Olivia, Layla, Piper, Eva, Piper, Hazel\"\ne43874,2022/12/25,dinner,a burger,\"Kayden, Carter, Emily\"\ne43881,2022/12/26,breakfast,\"eggs, sausages, and bread\",\ne43882,2022/12/26,lunch,steak,Emily\ne43883,2022/12/26,dinner,chinese food,\ne43890,2022/12/27,breakfast,peanut-butter-jam,\ne43891,2022/12/27,lunch,tacos,\ne43892,2022/12/27,dinner,chinese food,\ne43899,2022/12/28,breakfast,pancakes,\"Andrew, Kayden\"\ne43900,2022/12/28,lunch,steak,\"Avery, Willow\"\ne43901,2022/12/28,dinner,steak,\ne43907,2022/12/29,breakfast,peanut-butter-jam,\ne43908,2022/12/29,lunch,fish and chips,\ne43909,2022/12/29,dinner,indian food,\"Benjamin, Willow, Jackson\"\ne43916,2022/12/30,breakfast,\"eggs, sausages, and bread\",\ne43917,2022/12/30,lunch,pasta,Piper\ne43918,2022/12/30,dinner,indian food,\ne43926,2022/12/31,breakfast,oatmeal,\ne43927,2022/12/31,lunch,sushi,\ne43928,2022/12/31,dinner,fish and chips,\"Kayden, Emily\"\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/daily_read-log.csv",
    "content": "eid,date,readtype,howlong\ne209,2010/01/01,a book,40\ne218,2010/01/02,a book,27\ne227,2010/01/03,a book,31\ne237,2010/01/04,a book,42\ne245,2010/01/05,a book,44\ne252,2010/01/06,news,36\ne259,2010/01/07,a book,54\ne268,2010/01/08,news,37\ne277,2010/01/09,a book,38\ne286,2010/01/10,news,29\ne295,2010/01/11,a book,19\ne303,2010/01/12,social media,18\ne310,2010/01/13,social media,14\ne319,2010/01/14,news,43\ne327,2010/01/15,news,10\ne336,2010/01/16,social media,54\ne344,2010/01/17,social media,54\ne353,2010/01/18,a book,10\ne361,2010/01/19,news,47\ne369,2010/01/20,news,48\ne378,2010/01/21,a book,10\ne387,2010/01/22,social media,23\ne395,2010/01/23,a book,31\ne403,2010/01/24,a book,42\ne412,2010/01/25,news,51\ne419,2010/01/26,news,39\ne428,2010/01/27,news,52\ne437,2010/01/28,a book,9\ne447,2010/01/29,social media,23\ne456,2010/01/30,a book,14\ne464,2010/01/31,social media,11\ne471,2010/02/01,a book,36\ne481,2010/02/02,a book,49\ne490,2010/02/03,social media,11\ne498,2010/02/04,social media,48\ne506,2010/02/05,social media,54\ne515,2010/02/06,a book,31\ne522,2010/02/07,social media,16\ne530,2010/02/08,news,22\ne538,2010/02/09,news,49\ne545,2010/02/10,news,54\ne554,2010/02/11,news,38\ne561,2010/02/12,social media,33\ne569,2010/02/13,news,32\ne577,2010/02/14,social media,20\ne585,2010/02/15,news,46\ne592,2010/02/16,a book,37\ne600,2010/02/17,a book,11\ne608,2010/02/18,social media,17\ne617,2010/02/19,a book,40\ne626,2010/02/20,social media,46\ne635,2010/02/21,social media,23\ne644,2010/02/22,social media,28\ne653,2010/02/23,news,50\ne663,2010/02/24,news,42\ne671,2010/02/25,news,5\ne679,2010/02/26,social media,26\ne689,2010/02/27,news,50\ne698,2010/02/28,social media,44\ne705,2010/03/01,a book,12\ne713,2010/03/02,news,31\ne722,2010/03/03,social media,36\ne731,2010/03/04,news,32\ne740,2010/03/05,social media,33\ne749,2010/03/06,a book,7\ne758,2010/03/07,news,42\ne765,2010/03/08,news,43\ne774,2010/03/09,social 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book,14\ne1086,2010/04/14,news,27\ne1093,2010/04/15,a book,16\ne1100,2010/04/16,a book,38\ne1109,2010/04/17,a book,11\ne1119,2010/04/18,social media,19\ne1128,2010/04/19,social media,10\ne1135,2010/04/20,a book,36\ne1143,2010/04/21,social media,14\ne1152,2010/04/22,a book,16\ne1161,2010/04/23,a book,32\ne1170,2010/04/24,social media,46\ne1178,2010/04/25,a book,41\ne1186,2010/04/26,news,45\ne1195,2010/04/27,a book,20\ne1204,2010/04/28,social media,39\ne1212,2010/04/29,a book,51\ne1221,2010/04/30,news,11\ne1229,2010/05/01,news,35\ne1238,2010/05/02,a book,31\ne1245,2010/05/03,social media,8\ne1253,2010/05/04,a book,53\ne1261,2010/05/05,social media,16\ne1271,2010/05/06,social media,9\ne1279,2010/05/07,news,39\ne1287,2010/05/08,a book,30\ne1296,2010/05/09,social media,16\ne1306,2010/05/10,news,48\ne1315,2010/05/11,news,39\ne1323,2010/05/12,a book,49\ne1331,2010/05/13,a book,15\ne1340,2010/05/14,news,43\ne1350,2010/05/15,a book,47\ne1360,2010/05/16,a book,8\ne1369,2010/05/17,a book,50\ne1378,2010/05/18,a book,21\ne1386,2010/05/19,news,9\ne1395,2010/05/20,a book,21\ne1404,2010/05/21,a book,40\ne1414,2010/05/22,a book,22\ne1422,2010/05/23,social media,25\ne1430,2010/05/24,a book,27\ne1439,2010/05/25,social media,53\ne1448,2010/05/26,social media,43\ne1456,2010/05/27,social media,6\ne1466,2010/05/28,a book,53\ne1475,2010/05/29,social media,48\ne1484,2010/05/30,social media,51\ne1492,2010/05/31,social media,45\ne1501,2010/06/01,news,24\ne1511,2010/06/02,social media,26\ne1521,2010/06/03,a book,21\ne1531,2010/06/04,a book,24\ne1541,2010/06/05,social media,33\ne1549,2010/06/06,social media,28\ne1557,2010/06/07,a book,32\ne1566,2010/06/08,news,54\ne1573,2010/06/09,social media,18\ne1583,2010/06/10,news,5\ne1591,2010/06/11,news,8\ne1600,2010/06/12,news,40\ne1608,2010/06/13,news,12\ne1616,2010/06/14,news,19\ne1624,2010/06/15,news,39\ne1633,2010/06/16,a book,11\ne1642,2010/06/17,social media,24\ne1649,2010/06/18,social media,32\ne1659,2010/06/19,social 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media,38\ne2251,2010/08/26,a book,47\ne2259,2010/08/27,news,29\ne2268,2010/08/28,news,52\ne2277,2010/08/29,a book,38\ne2285,2010/08/30,social media,7\ne2294,2010/08/31,news,22\ne2302,2010/09/01,news,8\ne2312,2010/09/02,news,17\ne2321,2010/09/03,social media,42\ne2330,2010/09/04,news,50\ne2338,2010/09/05,social media,21\ne2348,2010/09/06,news,5\ne2358,2010/09/07,a book,40\ne2367,2010/09/08,a book,47\ne2375,2010/09/09,social media,14\ne2385,2010/09/10,a book,45\ne2394,2010/09/11,a book,25\ne2402,2010/09/12,news,28\ne2411,2010/09/13,news,50\ne2420,2010/09/14,a book,10\ne2428,2010/09/15,a book,20\ne2437,2010/09/16,a book,50\ne2446,2010/09/17,social media,35\ne2455,2010/09/18,news,9\ne2465,2010/09/19,news,19\ne2475,2010/09/20,social media,15\ne2484,2010/09/21,news,23\ne2493,2010/09/22,a book,22\ne2502,2010/09/23,a book,38\ne2510,2010/09/24,a book,7\ne2520,2010/09/25,social media,29\ne2529,2010/09/26,a book,36\ne2537,2010/09/27,news,50\ne2547,2010/09/28,a book,12\ne2555,2010/09/29,social 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  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/daily_watchtv-log.csv",
    "content": "eid,date,watchtype,howlong\ne210,2010/01/01,a tv series,52\ne219,2010/01/02,a movie,30\ne228,2010/01/03,news,23\ne238,2010/01/04,a movie,48\ne246,2010/01/05,news,41\ne253,2010/01/06,news,13\ne260,2010/01/07,a movie,21\ne269,2010/01/08,news,39\ne278,2010/01/09,a movie,28\ne287,2010/01/10,a movie,53\ne296,2010/01/11,a tv series,51\ne304,2010/01/12,a documentary,41\ne311,2010/01/13,a tv series,6\ne320,2010/01/14,news,29\ne328,2010/01/15,a documentary,41\ne337,2010/01/16,a tv series,12\ne345,2010/01/17,a tv series,43\ne354,2010/01/18,a movie,38\ne362,2010/01/19,a movie,50\ne370,2010/01/20,a movie,18\ne379,2010/01/21,a documentary,23\ne388,2010/01/22,a movie,31\ne396,2010/01/23,news,7\ne404,2010/01/24,a tv series,18\ne413,2010/01/25,a documentary,24\ne420,2010/01/26,news,50\ne429,2010/01/27,a tv series,32\ne438,2010/01/28,a movie,14\ne448,2010/01/29,a movie,18\ne457,2010/01/30,news,53\ne465,2010/01/31,news,27\ne472,2010/02/01,a movie,47\ne482,2010/02/02,news,46\ne491,2010/02/03,a documentary,30\ne499,2010/02/04,news,32\ne507,2010/02/05,a movie,18\ne516,2010/02/06,a movie,48\ne523,2010/02/07,a documentary,51\ne531,2010/02/08,news,8\ne539,2010/02/09,a documentary,27\ne546,2010/02/10,a documentary,24\ne555,2010/02/11,a movie,27\ne562,2010/02/12,a movie,30\ne570,2010/02/13,a documentary,53\ne578,2010/02/14,a movie,7\ne586,2010/02/15,news,27\ne593,2010/02/16,a documentary,22\ne601,2010/02/17,news,48\ne609,2010/02/18,a movie,10\ne618,2010/02/19,a movie,6\ne627,2010/02/20,news,23\ne636,2010/02/21,news,15\ne645,2010/02/22,a documentary,39\ne654,2010/02/23,a documentary,39\ne664,2010/02/24,news,53\ne672,2010/02/25,a documentary,20\ne680,2010/02/26,a documentary,28\ne690,2010/02/27,news,44\ne699,2010/02/28,a tv series,36\ne706,2010/03/01,a tv series,11\ne714,2010/03/02,a movie,35\ne723,2010/03/03,a documentary,34\ne732,2010/03/04,a documentary,29\ne741,2010/03/05,a movie,50\ne750,2010/03/06,a tv 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series,23\ne1035,2010/04/08,a movie,55\ne1044,2010/04/09,a documentary,13\ne1052,2010/04/10,a documentary,23\ne1060,2010/04/11,news,35\ne1069,2010/04/12,a documentary,5\ne1078,2010/04/13,a documentary,23\ne1087,2010/04/14,news,18\ne1094,2010/04/15,a tv series,47\ne1101,2010/04/16,a tv series,33\ne1110,2010/04/17,a tv series,41\ne1120,2010/04/18,a movie,21\ne1129,2010/04/19,a documentary,24\ne1136,2010/04/20,a movie,16\ne1144,2010/04/21,a tv series,7\ne1153,2010/04/22,a movie,29\ne1162,2010/04/23,a documentary,50\ne1171,2010/04/24,news,33\ne1179,2010/04/25,a tv series,16\ne1187,2010/04/26,a movie,14\ne1196,2010/04/27,a movie,7\ne1205,2010/04/28,a movie,36\ne1213,2010/04/29,a movie,51\ne1222,2010/04/30,a documentary,37\ne1230,2010/05/01,news,24\ne1239,2010/05/02,a documentary,48\ne1246,2010/05/03,a tv series,40\ne1254,2010/05/04,a movie,12\ne1262,2010/05/05,news,43\ne1272,2010/05/06,a documentary,43\ne1280,2010/05/07,news,52\ne1288,2010/05/08,a documentary,55\ne1297,2010/05/09,a documentary,11\ne1307,2010/05/10,news,22\ne1316,2010/05/11,a documentary,38\ne1324,2010/05/12,news,19\ne1332,2010/05/13,a tv series,55\ne1341,2010/05/14,news,50\ne1351,2010/05/15,a documentary,48\ne1361,2010/05/16,news,13\ne1370,2010/05/17,a tv series,19\ne1379,2010/05/18,a movie,6\ne1387,2010/05/19,a tv series,45\ne1396,2010/05/20,a movie,25\ne1405,2010/05/21,a movie,13\ne1415,2010/05/22,a documentary,54\ne1423,2010/05/23,a documentary,31\ne1431,2010/05/24,a movie,39\ne1440,2010/05/25,a documentary,30\ne1449,2010/05/26,a movie,50\ne1457,2010/05/27,news,50\ne1467,2010/05/28,a documentary,24\ne1476,2010/05/29,a movie,11\ne1485,2010/05/30,a documentary,21\ne1493,2010/05/31,a tv series,26\ne1502,2010/06/01,a tv series,25\ne1512,2010/06/02,news,12\ne1522,2010/06/03,news,46\ne1532,2010/06/04,news,28\ne1542,2010/06/05,a documentary,26\ne1550,2010/06/06,news,14\ne1558,2010/06/07,a movie,37\ne1567,2010/06/08,a documentary,7\ne1574,2010/06/09,news,38\ne1584,2010/06/10,a 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documentary,22\ne2153,2010/08/14,a documentary,34\ne2161,2010/08/15,a tv series,23\ne2171,2010/08/16,news,50\ne2180,2010/08/17,news,11\ne2187,2010/08/18,news,13\ne2195,2010/08/19,news,49\ne2204,2010/08/20,a movie,53\ne2212,2010/08/21,news,23\ne2219,2010/08/22,a movie,18\ne2228,2010/08/23,a tv series,11\ne2236,2010/08/24,a movie,45\ne2244,2010/08/25,a movie,27\ne2252,2010/08/26,a documentary,21\ne2260,2010/08/27,news,36\ne2269,2010/08/28,a tv series,10\ne2278,2010/08/29,a movie,42\ne2286,2010/08/30,news,23\ne2295,2010/08/31,a movie,17\ne2303,2010/09/01,a documentary,9\ne2313,2010/09/02,news,27\ne2322,2010/09/03,a tv series,31\ne2331,2010/09/04,a documentary,33\ne2339,2010/09/05,a movie,17\ne2349,2010/09/06,news,51\ne2359,2010/09/07,news,52\ne2368,2010/09/08,a movie,53\ne2376,2010/09/09,news,7\ne2386,2010/09/10,a movie,24\ne2395,2010/09/11,news,14\ne2403,2010/09/12,a movie,34\ne2412,2010/09/13,a movie,55\ne2421,2010/09/14,a tv 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movie,34\ne43254,2022/10/14,a movie,41\ne43264,2022/10/15,a documentary,15\ne43273,2022/10/16,a documentary,37\ne43280,2022/10/17,a tv series,12\ne43289,2022/10/18,a movie,10\ne43297,2022/10/19,a tv series,28\ne43305,2022/10/20,news,11\ne43314,2022/10/21,a documentary,21\ne43323,2022/10/22,news,54\ne43330,2022/10/23,a movie,19\ne43339,2022/10/24,a movie,48\ne43347,2022/10/25,a tv series,15\ne43356,2022/10/26,a tv series,46\ne43364,2022/10/27,news,19\ne43372,2022/10/28,a movie,22\ne43381,2022/10/29,a tv series,12\ne43390,2022/10/30,a movie,33\ne43399,2022/10/31,a tv series,8\ne43407,2022/11/01,a documentary,54\ne43416,2022/11/02,a documentary,16\ne43425,2022/11/03,a movie,7\ne43434,2022/11/04,news,55\ne43443,2022/11/05,a movie,7\ne43453,2022/11/06,news,11\ne43462,2022/11/07,a documentary,16\ne43472,2022/11/08,a tv series,25\ne43481,2022/11/09,a movie,12\ne43491,2022/11/10,a documentary,13\ne43501,2022/11/11,a tv series,38\ne43511,2022/11/12,a documentary,33\ne43519,2022/11/13,a movie,7\ne43528,2022/11/14,a movie,32\ne43538,2022/11/15,a movie,9\ne43546,2022/11/16,a tv series,12\ne43554,2022/11/17,a tv series,31\ne43563,2022/11/18,news,15\ne43573,2022/11/19,news,42\ne43582,2022/11/20,a movie,28\ne43590,2022/11/21,a movie,53\ne43599,2022/11/22,news,47\ne43608,2022/11/23,news,30\ne43617,2022/11/24,a movie,54\ne43626,2022/11/25,a tv series,36\ne43635,2022/11/26,a movie,6\ne43642,2022/11/27,a tv series,38\ne43650,2022/11/28,a documentary,18\ne43658,2022/11/29,a documentary,14\ne43666,2022/11/30,a tv series,39\ne43673,2022/12/01,a movie,25\ne43682,2022/12/02,a tv series,41\ne43691,2022/12/03,a documentary,22\ne43699,2022/12/04,a tv series,26\ne43708,2022/12/05,a documentary,38\ne43716,2022/12/06,a documentary,50\ne43725,2022/12/07,a tv series,9\ne43732,2022/12/08,news,41\ne43742,2022/12/09,a tv series,49\ne43749,2022/12/10,news,46\ne43757,2022/12/11,a movie,49\ne43765,2022/12/12,a documentary,7\ne43773,2022/12/13,news,45\ne43781,2022/12/14,a movie,27\ne43790,2022/12/15,a documentary,27\ne43800,2022/12/16,news,7\ne43808,2022/12/17,a movie,52\ne43818,2022/12/18,a tv series,9\ne43827,2022/12/19,news,35\ne43837,2022/12/20,news,29\ne43845,2022/12/21,news,31\ne43853,2022/12/22,a movie,49\ne43861,2022/12/23,a movie,17\ne43870,2022/12/24,a tv series,53\ne43879,2022/12/25,news,24\ne43888,2022/12/26,news,37\ne43898,2022/12/27,news,30\ne43905,2022/12/28,a tv series,18\ne43914,2022/12/29,a tv series,37\ne43924,2022/12/30,a tv series,28\ne43934,2022/12/31,news,24\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/marriages-log.csv",
    "content": "eid,married_date,partner_name,location\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/monthly_pet_care-log.csv",
    "content": "eid,date,pet_care_type\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/moves-log.csv",
    "content": "eid,date,type_of_move,destination\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/persona.json",
    "content": "{\"age_years\": 30, \"birth_year\": 1992, \"birth_month\": 5, \"birth_day\": 27, \"birth_city\": \"Asansol\", \"birth_country\": \"India\", \"num_sibling\": 2, \"sibling_names\": [\"Benjamin\", \"Willow\"], \"biological_mom_name\": \"Avery\", \"biological_dad_name\": \"Jackson\", \"gender\": \"male\", \"k_graduation\": 1998, \"e_graduation\": 2004, \"m_graduation\": 2007, \"h_graduation\": 2011, \"college\": 0, \"graduate_school\": 0, \"num_marriages\": 0, \"married\": [], \"divorced\": [], \"num_kids\": 4, \"kids\": [26, 28, 30], \"num_jobs\": 2, \"started_job\": [24, 30], \"quit_job\": [30], \"num_professions\": 2, \"professions\": [\"Startups\"], \"hobbies\": [\"yoga\", \"gardening\", \"learning a language\", \"meditation\", \"working out\"], \"exercise\": [\"gymnastics\", \"rugby\", \"hang gliding\", \"jogging\", \"sumo wrestling\"], \"trips_per_year\": 1, \"verboseness\": 5, \"kids_names\": [\"Kayden\", \"Emily\", \"Andrew\", \"Carter\"], \"partners_names\": [], \"num_close_friends\": 13, \"close_friends_names\": [\"Piper\", \"Layla\", \"Eva\", \"Piper\", \"Claire\", \"Rylee\", \"Kinsley\", \"Avery\", \"Olivia\", \"Hazel\", \"Lydia\", \"Nora\", \"Nevaeh\"], \"num_pets\": 0, \"pet_year\": [], \"pet_names\": [], \"body_metric\": true, \"personality\": \"introverted\"}"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/timeline-dense.csv",
    "content": "id,date,desc,details\n0,1992/05/27,My parents are Avery and Jackson.,My parents are Avery and Jackson.\n1,2010/01/01,I did running on 2010/01/01.,I did running on 2010/01/01.\n2,2010/01/01,\"I had oatmeal for breakfast with Claire, Nora, Kinsley, Piper, Piper, Eva, Lydia, Olivia, Avery\",\"I had oatmeal for breakfast with Claire, Nora, Kinsley, Piper, Piper, Eva, Lydia, Olivia, Avery\"\n3,2010/01/01,\"I had sushi for lunch with Jackson, Benjamin, Avery\",\"I had sushi for lunch with Jackson, Benjamin, Avery\"\n4,2010/01/01,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n5,2010/01/01,I talked to Rylee for 6 minutes late in the evening.,I talked to Rylee for 6 minutes late in the evening.\n6,2010/01/01,\"I spent 36 talking to Nevaeh, Avery, Nora, Piper on various topics in the late afternoon.\",\"I spent 36 talking to Nevaeh, Avery, Nora, Piper on various topics in the late afternoon.\"\n7,2010/01/01,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n8,2010/01/01,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n9,2010/01/02,I went on a date with Leah on 2010/01/02 at a boba shop,I went on a date with Leah on 2010/01/02 at a boba shop\n10,2010/01/02,I did HIIT on 2010/01/02.,I did HIIT on 2010/01/02.\n11,2010/01/02,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n12,2010/01/02,I prepare sushi for lunch.,I prepare sushi for lunch.\n13,2010/01/02,I had dinner. I ate steak.,I had dinner. I ate steak.\n14,2010/01/02,\"I talked to Avery, Lydia, Hazel, Nevaeh for 31 minutes in the morning.\",\"I talked to Avery, Lydia, Hazel, Nevaeh for 31 minutes in the morning.\"\n15,2010/01/02,\"I talked to Avery, Rylee for 21 minutes in the morning.\",\"I talked to Avery, Rylee for 21 minutes in the morning.\"\n16,2010/01/02,\"I talked to Rylee, Piper, Olivia, Claire for 27 minutes in the early afternoon.\",\"I talked to Rylee, Piper, Olivia, Claire for 27 minutes in the early afternoon.\"\n17,2010/01/02,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n18,2010/01/02,I spent 30 minutes watching a movie on TV today.,I spent 30 minutes watching a movie on TV today.\n19,2010/01/03,I did weight lifting on 2010/01/03.,I did weight lifting on 2010/01/03.\n20,2010/01/03,\"I had oatmeal for breakfast with Hazel, Piper, Kinsley, Piper, Olivia, Rylee, Lydia, Layla, Claire\",\"I had oatmeal for breakfast with Hazel, Piper, Kinsley, Piper, Olivia, Rylee, Lydia, Layla, Claire\"\n21,2010/01/03,I prepare indian food for lunch.,I prepare indian food for lunch.\n22,2010/01/03,I had dinner with Carter. I ate a burger.,I had dinner with Carter. I ate a burger.\n23,2010/01/03,I talked to Layla for 29 minutes in the morning.,I talked to Layla for 29 minutes in the morning.\n24,2010/01/03,\"I talked to Piper, Rylee, Piper for 32 minutes in the early afternoon.\",\"I talked to Piper, Rylee, Piper for 32 minutes in the early afternoon.\"\n25,2010/01/03,\"I talked to Rylee, Lydia for 7 minutes in the late afternoon.\",\"I talked to Rylee, Lydia for 7 minutes in the late afternoon.\"\n26,2010/01/03,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n27,2010/01/03,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n28,2010/01/04,I did hiking on 2010/01/04.,I did hiking on 2010/01/04.\n29,2010/01/04,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n30,2010/01/04,I prepare pasta for lunch.,I prepare pasta for lunch.\n31,2010/01/04,\"I had dinner with Carter, Emily. I ate steak.\",\"I had dinner with Carter, Emily. I ate steak.\"\n32,2010/01/04,\"I talked to Avery, Layla, Olivia, Piper for 24 minutes during lunch hours.\",\"I talked to Avery, Layla, Olivia, Piper for 24 minutes during lunch hours.\"\n33,2010/01/04,\"I spent 52 talking to Kinsley, Eva on various topics in the late afternoon.\",\"I spent 52 talking to Kinsley, Eva on various topics in the late afternoon.\"\n34,2010/01/04,\"I spent 27 talking to Nevaeh, Rylee on various topics during lunch hours.\",\"I spent 27 talking to Nevaeh, Rylee on various topics during lunch hours.\"\n35,2010/01/04,\"I talked to Piper, Eva, Olivia for 50 minutes in the early afternoon.\",\"I talked to Piper, Eva, Olivia for 50 minutes in the early afternoon.\"\n36,2010/01/04,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n37,2010/01/04,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n38,2010/01/05,I went on a date with Elena on 2010/01/05 at a restaurant,I went on a date with Elena on 2010/01/05 at a restaurant\n39,2010/01/05,I really enjoyed meditation on 2010/01/05,I really enjoyed meditation on 2010/01/05\n40,2010/01/05,I did biking on 2010/01/05.,I did biking on 2010/01/05.\n41,2010/01/05,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n42,2010/01/05,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n43,2010/01/05,I ate pasta for dinner.,I ate pasta for dinner.\n44,2010/01/05,\"I spent 38 talking to Piper, Eva, Lydia, Nora on various topics during lunch hours.\",\"I spent 38 talking to Piper, Eva, Lydia, Nora on various topics during lunch hours.\"\n45,2010/01/05,\"I talked to Rylee, Nora for 41 minutes in the early evening.\",\"I talked to Rylee, Nora for 41 minutes in the early evening.\"\n46,2010/01/05,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n47,2010/01/05,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n48,2010/01/06,\"I bought some guava, peaches, bananas, oranges, soda, sports drinks, pineapple juice, milk, body lotion from the grocery store. I saw Piper, Eva at the grocery store.\",\"I bought some guava, peaches, bananas, oranges, soda, sports drinks, pineapple juice, milk, body lotion from the grocery store. I saw Piper, Eva at the grocery store.\"\n49,2010/01/06,I did weight lifting on 2010/01/06.,I did weight lifting on 2010/01/06.\n50,2010/01/06,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n51,2010/01/06,\"I had indian food for lunch with Carter, Emily, Kayden, Andrew\",\"I had indian food for lunch with Carter, Emily, Kayden, Andrew\"\n52,2010/01/06,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n53,2010/01/06,\"I talked to Avery, Olivia, Layla, Nora for 21 minutes during lunch hours.\",\"I talked to Avery, Olivia, Layla, Nora for 21 minutes during lunch hours.\"\n54,2010/01/06,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n55,2010/01/06,I watched news for 13 minutes on TV today.,I watched news for 13 minutes on TV today.\n56,2010/01/07,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n57,2010/01/07,I prepare steak for lunch.,I prepare steak for lunch.\n58,2010/01/07,I prepare a burger for dinner.,I prepare a burger for dinner.\n59,2010/01/07,\"I talked to Rylee, Nevaeh, Layla for 50 minutes late in the evening.\",\"I talked to Rylee, Nevaeh, Layla for 50 minutes late in the evening.\"\n60,2010/01/07,I spent 16 talking to Eva on various topics in the early afternoon.,I spent 16 talking to Eva on various topics in the early afternoon.\n61,2010/01/07,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n62,2010/01/07,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n63,2010/01/08,I did weight lifting on 2010/01/08.,I did weight lifting on 2010/01/08.\n64,2010/01/08,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n65,2010/01/08,\"I had lunch with Olivia, Eva, Hazel, Lydia, Nevaeh, Piper, Nora, Rylee, Claire, Avery, Layla. I ate tacos.\",\"I had lunch with Olivia, Eva, Hazel, Lydia, Nevaeh, Piper, Nora, Rylee, Claire, Avery, Layla. I ate tacos.\"\n66,2010/01/08,I ate sandwich for dinner.,I ate sandwich for dinner.\n67,2010/01/08,\"I spent 47 talking to Piper, Lydia, Rylee on various topics in the early afternoon.\",\"I spent 47 talking to Piper, Lydia, Rylee on various topics in the early afternoon.\"\n68,2010/01/08,\"I spent 20 talking to Lydia, Piper on various topics in the late afternoon.\",\"I spent 20 talking to Lydia, Piper on various topics in the late afternoon.\"\n69,2010/01/08,\"I talked to Piper, Eva, Lydia for 38 minutes in the early afternoon.\",\"I talked to Piper, Eva, Lydia for 38 minutes in the early afternoon.\"\n70,2010/01/08,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n71,2010/01/08,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n72,2010/01/09,I did running on 2010/01/09.,I did running on 2010/01/09.\n73,2010/01/09,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n74,2010/01/09,\"I had lunch with Benjamin, Avery, Jackson. I ate sandwich.\",\"I had lunch with Benjamin, Avery, Jackson. I ate sandwich.\"\n75,2010/01/09,I had sandwich for dinner with Andrew,I had sandwich for dinner with Andrew\n76,2010/01/09,\"I spent 13 talking to Layla, Avery, Olivia on various topics in the early afternoon.\",\"I spent 13 talking to Layla, Avery, Olivia on various topics in the early afternoon.\"\n77,2010/01/09,\"I spent 18 talking to Nevaeh, Layla on various topics in the early afternoon.\",\"I spent 18 talking to Nevaeh, Layla on various topics in the early afternoon.\"\n78,2010/01/09,\"I spent 43 talking to Avery, Rylee, Nora, Claire on various topics in the late afternoon.\",\"I spent 43 talking to Avery, Rylee, Nora, Claire on various topics in the late afternoon.\"\n79,2010/01/09,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n80,2010/01/09,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n81,2010/01/10,\"I went grocery shopping with Layla, Lydia, Hazel. I bought some bananas, sports drinks, and toothbrush, toilet paper\",\"I went grocery shopping with Layla, Lydia, Hazel. I bought some bananas, sports drinks, and toothbrush, toilet paper\"\n82,2010/01/10,I did weight lifting on 2010/01/10.,I did weight lifting on 2010/01/10.\n83,2010/01/10,I ate cereals for breakfast.,I ate cereals for breakfast.\n84,2010/01/10,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n85,2010/01/10,\"I had fish and chips for dinner with Emily, Kayden, Carter, Andrew\",\"I had fish and chips for dinner with Emily, Kayden, Carter, Andrew\"\n86,2010/01/10,\"I spent 51 talking to Avery, Layla, Eva on various topics in the early evening.\",\"I spent 51 talking to Avery, Layla, Eva on various topics in the early evening.\"\n87,2010/01/10,I spent 15 talking to Lydia on various topics in the early evening.,I spent 15 talking to Lydia on various topics in the early evening.\n88,2010/01/10,\"I talked to Piper, Kinsley, Rylee, Olivia for 40 minutes late in the evening.\",\"I talked to Piper, Kinsley, Rylee, Olivia for 40 minutes late in the evening.\"\n89,2010/01/10,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n90,2010/01/10,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n91,2010/01/11,I did HIIT on 2010/01/11.,I did HIIT on 2010/01/11.\n92,2010/01/11,\"I had breakfast with Carter, Kayden, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Kayden, Andrew. I ate eggs, sausages, and bread.\"\n93,2010/01/11,I prepare steak for lunch.,I prepare steak for lunch.\n94,2010/01/11,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n95,2010/01/11,\"I spent 42 talking to Layla, Rylee, Eva on various topics in the morning.\",\"I spent 42 talking to Layla, Rylee, Eva on various topics in the morning.\"\n96,2010/01/11,\"I spent 30 talking to Lydia, Hazel, Claire, Avery on various topics in the early afternoon.\",\"I spent 30 talking to Lydia, Hazel, Claire, Avery on various topics in the early afternoon.\"\n97,2010/01/11,\"I talked to Lydia, Eva, Piper, Nora for 45 minutes late in the evening.\",\"I talked to Lydia, Eva, Piper, Nora for 45 minutes late in the evening.\"\n98,2010/01/11,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n99,2010/01/11,I watched a tv series for 51 minutes on TV today.,I watched a tv series for 51 minutes on TV today.\n100,2010/01/12,I did hiking on 2010/01/12.,I did hiking on 2010/01/12.\n101,2010/01/12,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n102,2010/01/12,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n103,2010/01/12,\"I had dinner with Eva, Kinsley, Nora, Claire, Layla, Lydia, Hazel. I ate tacos.\",\"I had dinner with Eva, Kinsley, Nora, Claire, Layla, Lydia, Hazel. I ate tacos.\"\n104,2010/01/12,\"I talked to Nora, Olivia, Piper, Avery for 15 minutes in the early afternoon.\",\"I talked to Nora, Olivia, Piper, Avery for 15 minutes in the early afternoon.\"\n105,2010/01/12,\"I talked to Piper, Hazel, Claire for 17 minutes during lunch hours.\",\"I talked to Piper, Hazel, Claire for 17 minutes during lunch hours.\"\n106,2010/01/12,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n107,2010/01/12,I watched a documentary for 41 minutes on TV today.,I watched a documentary for 41 minutes on TV today.\n108,2010/01/13,I did running on 2010/01/13.,I did running on 2010/01/13.\n109,2010/01/13,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n110,2010/01/13,I had lunch. I ate steak.,I had lunch. I ate steak.\n111,2010/01/13,I ate indian food for dinner.,I ate indian food for dinner.\n112,2010/01/13,\"I talked to Hazel, Eva, Lydia, Claire for 22 minutes during lunch hours.\",\"I talked to Hazel, Eva, Lydia, Claire for 22 minutes during lunch hours.\"\n113,2010/01/13,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n114,2010/01/13,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n115,2010/01/14,I did running on 2010/01/14.,I did running on 2010/01/14.\n116,2010/01/14,\"I had breakfast with Jackson, Willow, Benjamin. I ate pancakes.\",\"I had breakfast with Jackson, Willow, Benjamin. I ate pancakes.\"\n117,2010/01/14,\"I had pasta for lunch with Carter, Kayden, Andrew, Emily\",\"I had pasta for lunch with Carter, Kayden, Andrew, Emily\"\n118,2010/01/14,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n119,2010/01/14,I talked to Piper for 23 minutes in the early evening.,I talked to Piper for 23 minutes in the early evening.\n120,2010/01/14,\"I spent 50 talking to Claire, Layla on various topics during lunch hours.\",\"I spent 50 talking to Claire, Layla on various topics during lunch hours.\"\n121,2010/01/14,\"I talked to Rylee, Eva, Piper, Olivia for 11 minutes in the morning.\",\"I talked to Rylee, Eva, Piper, Olivia for 11 minutes in the morning.\"\n122,2010/01/14,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n123,2010/01/14,I watched news for 29 minutes on TV today.,I watched news for 29 minutes on TV today.\n124,2010/01/15,I did HIIT on 2010/01/15.,I did HIIT on 2010/01/15.\n125,2010/01/15,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n126,2010/01/15,I had lunch. I ate steak.,I had lunch. I ate steak.\n127,2010/01/15,\"I had dinner with Nora, Nevaeh, Kinsley, Claire, Eva, Hazel, Piper. I ate a burger.\",\"I had dinner with Nora, Nevaeh, Kinsley, Claire, Eva, Hazel, Piper. I ate a burger.\"\n128,2010/01/15,\"I talked to Lydia, Eva for 14 minutes in the early evening.\",\"I talked to Lydia, Eva for 14 minutes in the early evening.\"\n129,2010/01/15,\"I spent 6 talking to Piper, Avery on various topics late in the evening.\",\"I spent 6 talking to Piper, Avery on various topics late in the evening.\"\n130,2010/01/15,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n131,2010/01/15,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n132,2010/01/16,I did hiking on 2010/01/16.,I did hiking on 2010/01/16.\n133,2010/01/16,\"I had cereals for breakfast with Piper, Kinsley, Hazel, Piper, Eva, Olivia, Claire, Layla, Avery, Lydia, Rylee, Nora\",\"I had cereals for breakfast with Piper, Kinsley, Hazel, Piper, Eva, Olivia, Claire, Layla, Avery, Lydia, Rylee, Nora\"\n134,2010/01/16,I ate steak for lunch.,I ate steak for lunch.\n135,2010/01/16,I prepare pasta for dinner.,I prepare pasta for dinner.\n136,2010/01/16,I talked to Piper for 39 minutes late in the evening.,I talked to Piper for 39 minutes late in the evening.\n137,2010/01/16,\"I talked to Nora, Kinsley, Olivia, Hazel for 54 minutes in the late afternoon.\",\"I talked to Nora, Kinsley, Olivia, Hazel for 54 minutes in the late afternoon.\"\n138,2010/01/16,\"I talked to Eva, Nora, Olivia, Lydia for 42 minutes in the early afternoon.\",\"I talked to Eva, Nora, Olivia, Lydia for 42 minutes in the early afternoon.\"\n139,2010/01/16,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n140,2010/01/16,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n141,2010/01/17,\"I bought some oranges, tea, soda, coffee, pineapple juice, conditioner, shaving cream online.\",\"I bought some oranges, tea, soda, coffee, pineapple juice, conditioner, shaving cream online.\"\n142,2010/01/17,I did biking on 2010/01/17.,I did biking on 2010/01/17.\n143,2010/01/17,\"I had cereals for breakfast with Carter, Emily, Andrew\",\"I had cereals for breakfast with Carter, Emily, Andrew\"\n144,2010/01/17,\"I had lunch with Olivia, Eva, Claire, Avery, Rylee, Hazel, Kinsley. I ate fish and chips.\",\"I had lunch with Olivia, Eva, Claire, Avery, Rylee, Hazel, Kinsley. I ate fish and chips.\"\n145,2010/01/17,\"I had dinner with Avery, Piper, Nora, Kinsley, Nevaeh, Olivia, Layla, Lydia, Rylee. I ate a burger.\",\"I had dinner with Avery, Piper, Nora, Kinsley, Nevaeh, Olivia, Layla, Lydia, Rylee. I ate a burger.\"\n146,2010/01/17,\"I spent 55 talking to Eva, Kinsley, Layla on various topics in the early evening.\",\"I spent 55 talking to Eva, Kinsley, Layla on various topics in the early evening.\"\n147,2010/01/17,\"I spent 40 talking to Nora, Piper, Nevaeh on various topics in the early evening.\",\"I spent 40 talking to Nora, Piper, Nevaeh on various topics in the early evening.\"\n148,2010/01/17,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n149,2010/01/17,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n150,2010/01/18,I took my parents for their for an annual dental cleaning and checkup on 2010/01/18 at the university hospital.,I took my parents for their for an annual dental cleaning and checkup on 2010/01/18 at the university hospital.\n151,2010/01/18,\"On 2010/01/18, I took Eliana on a date to a boba shop\",\"On 2010/01/18, I took Eliana on a date to a boba shop\"\n152,2010/01/18,\"I went grocery shopping with Benjamin, Willow. I bought some pears, apples, tea, sports drinks, orange juice, mango juice, and mouthwash\",\"I went grocery shopping with Benjamin, Willow. I bought some pears, apples, tea, sports drinks, orange juice, mango juice, and mouthwash\"\n153,2010/01/18,I did weight lifting on 2010/01/18.,I did weight lifting on 2010/01/18.\n154,2010/01/18,\"I had eggs, sausages, and bread for breakfast with Jackson, Benjamin, Willow, Avery\",\"I had eggs, sausages, and bread for breakfast with Jackson, Benjamin, Willow, Avery\"\n155,2010/01/18,I prepare steak for lunch.,I prepare steak for lunch.\n156,2010/01/18,I prepare sushi for dinner.,I prepare sushi for dinner.\n157,2010/01/18,\"I spent 36 talking to Hazel, Rylee on various topics in the morning.\",\"I spent 36 talking to Hazel, Rylee on various topics in the morning.\"\n158,2010/01/18,\"I talked to Piper, Layla, Olivia for 17 minutes in the morning.\",\"I talked to Piper, Layla, Olivia for 17 minutes in the morning.\"\n159,2010/01/18,\"I talked to Nevaeh, Hazel, Avery for 30 minutes in the early afternoon.\",\"I talked to Nevaeh, Hazel, Avery for 30 minutes in the early afternoon.\"\n160,2010/01/18,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n161,2010/01/18,I spent 38 minutes watching a movie on TV today.,I spent 38 minutes watching a movie on TV today.\n162,2010/01/19,I did biking on 2010/01/19.,I did biking on 2010/01/19.\n163,2010/01/19,\"I had oatmeal for breakfast with Emily, Kayden\",\"I had oatmeal for breakfast with Emily, Kayden\"\n164,2010/01/19,\"I had indian food for lunch with Lydia, Nevaeh, Claire, Layla, Avery, Hazel, Olivia, Eva, Rylee\",\"I had indian food for lunch with Lydia, Nevaeh, Claire, Layla, Avery, Hazel, Olivia, Eva, Rylee\"\n165,2010/01/19,I had dinner with Andrew. I ate sandwich.,I had dinner with Andrew. I ate sandwich.\n166,2010/01/19,\"I spent 8 talking to Nora, Layla on various topics in the morning.\",\"I spent 8 talking to Nora, Layla on various topics in the morning.\"\n167,2010/01/19,\"I talked to Rylee, Nora for 46 minutes late in the evening.\",\"I talked to Rylee, Nora for 46 minutes late in the evening.\"\n168,2010/01/19,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n169,2010/01/19,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n170,2010/01/20,I did running on 2010/01/20.,I did running on 2010/01/20.\n171,2010/01/20,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n172,2010/01/20,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n173,2010/01/20,\"I had steak for dinner with Carter, Kayden\",\"I had steak for dinner with Carter, Kayden\"\n174,2010/01/20,\"I spent 42 talking to Layla, Hazel on various topics during lunch hours.\",\"I spent 42 talking to Layla, Hazel on various topics during lunch hours.\"\n175,2010/01/20,\"I talked to Nevaeh, Nora for 8 minutes in the early afternoon.\",\"I talked to Nevaeh, Nora for 8 minutes in the early afternoon.\"\n176,2010/01/20,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n177,2010/01/20,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n178,2010/01/21,I spent some time yoga on 2010/01/21.,I spent some time yoga on 2010/01/21.\n179,2010/01/21,I did running on 2010/01/21.,I did running on 2010/01/21.\n180,2010/01/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n181,2010/01/21,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n182,2010/01/21,\"I had dinner with Carter, Kayden, Emily. I ate fish and chips.\",\"I had dinner with Carter, Kayden, Emily. I ate fish and chips.\"\n183,2010/01/21,\"I talked to Eva, Piper, Kinsley for 9 minutes late in the evening.\",\"I talked to Eva, Piper, Kinsley for 9 minutes late in the evening.\"\n184,2010/01/21,\"I spent 38 talking to Piper, Piper, Eva, Nora on various topics in the early evening.\",\"I spent 38 talking to Piper, Piper, Eva, Nora on various topics in the early evening.\"\n185,2010/01/21,\"I spent 34 talking to Lydia, Olivia, Rylee, Piper on various topics in the early afternoon.\",\"I spent 34 talking to Lydia, Olivia, Rylee, Piper on various topics in the early afternoon.\"\n186,2010/01/21,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n187,2010/01/21,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n188,2010/01/22,I did HIIT on 2010/01/22.,I did HIIT on 2010/01/22.\n189,2010/01/22,\"I had cereals for breakfast with Eva, Hazel, Layla, Olivia, Nevaeh, Piper, Rylee, Piper, Avery\",\"I had cereals for breakfast with Eva, Hazel, Layla, Olivia, Nevaeh, Piper, Rylee, Piper, Avery\"\n190,2010/01/22,I had pasta for lunch with Kayden,I had pasta for lunch with Kayden\n191,2010/01/22,\"I had dinner with Andrew, Carter, Emily, Kayden. I ate fish and chips.\",\"I had dinner with Andrew, Carter, Emily, Kayden. I ate fish and chips.\"\n192,2010/01/22,I spent 29 talking to Piper on various topics in the late afternoon.,I spent 29 talking to Piper on various topics in the late afternoon.\n193,2010/01/22,I spent 29 talking to Claire on various topics in the early afternoon.,I spent 29 talking to Claire on various topics in the early afternoon.\n194,2010/01/22,I talked to Eva for 54 minutes in the early afternoon.,I talked to Eva for 54 minutes in the early afternoon.\n195,2010/01/22,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n196,2010/01/22,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n197,2010/01/23,\"I had breakfast with Carter, Andrew. I ate oatmeal.\",\"I had breakfast with Carter, Andrew. I ate oatmeal.\"\n198,2010/01/23,I ate indian food for lunch.,I ate indian food for lunch.\n199,2010/01/23,\"I had dinner with Carter, Emily. I ate a burger.\",\"I had dinner with Carter, Emily. I ate a burger.\"\n200,2010/01/23,\"I talked to Hazel, Nora for 41 minutes late in the evening.\",\"I talked to Hazel, Nora for 41 minutes late in the evening.\"\n201,2010/01/23,I spent 6 talking to Nora on various topics during lunch hours.,I spent 6 talking to Nora on various topics during lunch hours.\n202,2010/01/23,\"I spent 53 talking to Rylee, Hazel, Layla, Nora on various topics in the early afternoon.\",\"I spent 53 talking to Rylee, Hazel, Layla, Nora on various topics in the early afternoon.\"\n203,2010/01/23,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n204,2010/01/23,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n205,2010/01/24,\"I went grocery shopping with Kinsley, Piper, Layla, Claire, Nevaeh, Olivia, Piper, Eva, Rylee, Avery. I bought some blackberries, mangos, sports drinks, orange juice, and shampoo, toothbrush\",\"I went grocery shopping with Kinsley, Piper, Layla, Claire, Nevaeh, Olivia, Piper, Eva, Rylee, Avery. I bought some blackberries, mangos, sports drinks, orange juice, and shampoo, toothbrush\"\n206,2010/01/24,I did running on 2010/01/24.,I did running on 2010/01/24.\n207,2010/01/24,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n208,2010/01/24,\"I had sandwich for lunch with Carter, Kayden\",\"I had sandwich for lunch with Carter, Kayden\"\n209,2010/01/24,I prepare pasta for dinner.,I prepare pasta for dinner.\n210,2010/01/24,\"I spent 53 talking to Kinsley, Nevaeh, Layla on various topics in the late afternoon.\",\"I spent 53 talking to Kinsley, Nevaeh, Layla on various topics in the late afternoon.\"\n211,2010/01/24,\"I talked to Kinsley, Avery for 33 minutes in the late afternoon.\",\"I talked to Kinsley, Avery for 33 minutes in the late afternoon.\"\n212,2010/01/24,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n213,2010/01/24,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n214,2010/01/25,I went on a date with Wesley on 2010/01/25 at a park,I went on a date with Wesley on 2010/01/25 at a park\n215,2010/01/25,\"I went grocery shopping with Eva, Nora, Rylee, Lydia, Avery. I bought some watermelons, peaches, pineapple juice, and mouth wash, conditioner, paper towel, shaving cream\",\"I went grocery shopping with Eva, Nora, Rylee, Lydia, Avery. I bought some watermelons, peaches, pineapple juice, and mouth wash, conditioner, paper towel, shaving cream\"\n216,2010/01/25,I did hiking on 2010/01/25.,I did hiking on 2010/01/25.\n217,2010/01/25,\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate cereals.\",\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate cereals.\"\n218,2010/01/25,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n219,2010/01/25,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n220,2010/01/25,\"I spent 44 talking to Rylee, Piper, Piper on various topics in the late afternoon.\",\"I spent 44 talking to Rylee, Piper, Piper on various topics in the late afternoon.\"\n221,2010/01/25,I talked to Olivia for 5 minutes during lunch hours.,I talked to Olivia for 5 minutes during lunch hours.\n222,2010/01/25,\"I spent 12 talking to Avery, Claire, Olivia, Eva on various topics late in the evening.\",\"I spent 12 talking to Avery, Claire, Olivia, Eva on various topics late in the evening.\"\n223,2010/01/25,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n224,2010/01/25,I spent 24 minutes watching a documentary on TV today.,I spent 24 minutes watching a documentary on TV today.\n225,2010/01/26,I did weight lifting on 2010/01/26.,I did weight lifting on 2010/01/26.\n226,2010/01/26,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n227,2010/01/26,\"I had steak for lunch with Avery, Kinsley, Layla, Hazel, Nevaeh, Eva, Claire, Lydia, Piper, Rylee, Nora, Piper\",\"I had steak for lunch with Avery, Kinsley, Layla, Hazel, Nevaeh, Eva, Claire, Lydia, Piper, Rylee, Nora, Piper\"\n228,2010/01/26,I ate a burger for dinner.,I ate a burger for dinner.\n229,2010/01/26,I talked to Eva for 29 minutes in the morning.,I talked to Eva for 29 minutes in the morning.\n230,2010/01/26,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n231,2010/01/26,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n232,2010/01/27,I did biking on 2010/01/27.,I did biking on 2010/01/27.\n233,2010/01/27,\"I had oatmeal for breakfast with Piper, Rylee, Avery, Kinsley\",\"I had oatmeal for breakfast with Piper, Rylee, Avery, Kinsley\"\n234,2010/01/27,I ate sandwich for lunch.,I ate sandwich for lunch.\n235,2010/01/27,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n236,2010/01/27,I talked to Nora for 11 minutes in the morning.,I talked to Nora for 11 minutes in the morning.\n237,2010/01/27,\"I spent 37 talking to Layla, Eva, Rylee, Nevaeh on various topics in the late afternoon.\",\"I spent 37 talking to Layla, Eva, Rylee, Nevaeh on various topics in the late afternoon.\"\n238,2010/01/27,\"I talked to Nevaeh, Piper, Eva, Layla for 11 minutes late in the evening.\",\"I talked to Nevaeh, Piper, Eva, Layla for 11 minutes late in the evening.\"\n239,2010/01/27,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n240,2010/01/27,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n241,2010/01/28,\"I had breakfast with Avery, Jackson. I ate pancakes.\",\"I had breakfast with Avery, Jackson. I ate pancakes.\"\n242,2010/01/28,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n243,2010/01/28,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n244,2010/01/28,I talked to Piper for 29 minutes late in the evening.,I talked to Piper for 29 minutes late in the evening.\n245,2010/01/28,\"I talked to Layla, Nora, Avery, Lydia for 40 minutes late in the evening.\",\"I talked to Layla, Nora, Avery, Lydia for 40 minutes late in the evening.\"\n246,2010/01/28,\"I talked to Avery, Lydia, Claire, Nevaeh for 29 minutes in the early evening.\",\"I talked to Avery, Lydia, Claire, Nevaeh for 29 minutes in the early evening.\"\n247,2010/01/28,I spent 49 talking to Layla on various topics during lunch hours.,I spent 49 talking to Layla on various topics during lunch hours.\n248,2010/01/28,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n249,2010/01/28,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n250,2010/01/29,I did weight lifting on 2010/01/29.,I did weight lifting on 2010/01/29.\n251,2010/01/29,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n252,2010/01/29,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n253,2010/01/29,I prepare sushi for dinner.,I prepare sushi for dinner.\n254,2010/01/29,\"I spent 24 talking to Kinsley, Rylee on various topics in the early evening.\",\"I spent 24 talking to Kinsley, Rylee on various topics in the early evening.\"\n255,2010/01/29,\"I spent 30 talking to Eva, Kinsley, Layla, Nevaeh on various topics in the early evening.\",\"I spent 30 talking to Eva, Kinsley, Layla, Nevaeh on various topics in the early evening.\"\n256,2010/01/29,\"I spent 17 talking to Eva, Piper on various topics in the morning.\",\"I spent 17 talking to Eva, Piper on various topics in the morning.\"\n257,2010/01/29,I spent 43 talking to Eva on various topics in the late afternoon.,I spent 43 talking to Eva on various topics in the late afternoon.\n258,2010/01/29,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n259,2010/01/29,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n260,2010/01/30,I did HIIT on 2010/01/30.,I did HIIT on 2010/01/30.\n261,2010/01/30,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n262,2010/01/30,\"I had lunch with Avery, Rylee, Lydia, Piper, Claire, Eva, Hazel, Kinsley, Nevaeh, Layla, Nora, Olivia, Piper. I ate steak.\",\"I had lunch with Avery, Rylee, Lydia, Piper, Claire, Eva, Hazel, Kinsley, Nevaeh, Layla, Nora, Olivia, Piper. I ate steak.\"\n263,2010/01/30,\"I had chinese food for dinner with Benjamin, Willow\",\"I had chinese food for dinner with Benjamin, Willow\"\n264,2010/01/30,\"I talked to Avery, Hazel, Claire for 8 minutes during lunch hours.\",\"I talked to Avery, Hazel, Claire for 8 minutes during lunch hours.\"\n265,2010/01/30,\"I talked to Piper, Eva for 12 minutes during lunch hours.\",\"I talked to Piper, Eva for 12 minutes during lunch hours.\"\n266,2010/01/30,\"I spent 30 talking to Lydia, Layla, Nevaeh on various topics in the morning.\",\"I spent 30 talking to Lydia, Layla, Nevaeh on various topics in the morning.\"\n267,2010/01/30,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n268,2010/01/30,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n269,2010/01/31,\"I went grocery shopping. I bought some clementines, blackberries, mineral water, and body lotion\",\"I went grocery shopping. I bought some clementines, blackberries, mineral water, and body lotion\"\n270,2010/01/31,I did hiking on 2010/01/31.,I did hiking on 2010/01/31.\n271,2010/01/31,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n272,2010/01/31,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n273,2010/01/31,\"I had dinner with Avery, Rylee, Piper, Piper, Layla, Kinsley, Claire. I ate pasta.\",\"I had dinner with Avery, Rylee, Piper, Piper, Layla, Kinsley, Claire. I ate pasta.\"\n274,2010/01/31,I spent 9 talking to Avery on various topics in the early evening.,I spent 9 talking to Avery on various topics in the early evening.\n275,2010/01/31,\"I talked to Piper, Rylee, Layla for 16 minutes in the late afternoon.\",\"I talked to Piper, Rylee, Layla for 16 minutes in the late afternoon.\"\n276,2010/01/31,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n277,2010/01/31,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n278,2010/02/01,I did weight lifting on 2010/02/01.,I did weight lifting on 2010/02/01.\n279,2010/02/01,\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin\",\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin\"\n280,2010/02/01,\"I had lunch with Willow, Benjamin, Avery. I ate chinese food.\",\"I had lunch with Willow, Benjamin, Avery. I ate chinese food.\"\n281,2010/02/01,\"I had steak for dinner with Carter, Kayden, Emily, Andrew\",\"I had steak for dinner with Carter, Kayden, Emily, Andrew\"\n282,2010/02/01,\"I spent 25 talking to Piper, Olivia on various topics in the early evening.\",\"I spent 25 talking to Piper, Olivia on various topics in the early evening.\"\n283,2010/02/01,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n284,2010/02/01,I spent 47 minutes watching a movie on TV today.,I spent 47 minutes watching a movie on TV today.\n285,2010/02/02,\"On 2010/02/02, I took Ariana on a date to a restaurant\",\"On 2010/02/02, I took Ariana on a date to a restaurant\"\n286,2010/02/02,I did biking on 2010/02/02.,I did biking on 2010/02/02.\n287,2010/02/02,\"I had breakfast with Jackson, Willow, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Jackson, Willow, Avery. I ate peanut-butter-jam.\"\n288,2010/02/02,\"I had indian food for lunch with Benjamin, Jackson, Avery, Willow\",\"I had indian food for lunch with Benjamin, Jackson, Avery, Willow\"\n289,2010/02/02,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n290,2010/02/02,\"I spent 13 talking to Nora, Lydia, Olivia on various topics in the early evening.\",\"I spent 13 talking to Nora, Lydia, Olivia on various topics in the early evening.\"\n291,2010/02/02,\"I spent 49 talking to Piper, Layla, Nevaeh on various topics in the early evening.\",\"I spent 49 talking to Piper, Layla, Nevaeh on various topics in the early evening.\"\n292,2010/02/02,\"I talked to Nevaeh, Piper, Hazel for 14 minutes late in the evening.\",\"I talked to Nevaeh, Piper, Hazel for 14 minutes late in the evening.\"\n293,2010/02/02,I talked to Nevaeh for 10 minutes in the late afternoon.,I talked to Nevaeh for 10 minutes in the late afternoon.\n294,2010/02/02,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n295,2010/02/02,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n296,2010/02/03,\"I went grocery shopping with Piper, Layla, Kinsley, Lydia, Eva, Nora, Nevaeh, Rylee, Claire. I bought some nectarines, chocolate milk, soda, orange juice, apple juice, and facial wash\",\"I went grocery shopping with Piper, Layla, Kinsley, Lydia, Eva, Nora, Nevaeh, Rylee, Claire. I bought some nectarines, chocolate milk, soda, orange juice, apple juice, and facial wash\"\n297,2010/02/03,I did biking on 2010/02/03.,I did biking on 2010/02/03.\n298,2010/02/03,\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate peanut-butter-jam.\"\n299,2010/02/03,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n300,2010/02/03,\"I had dinner with Nora, Layla, Kinsley, Piper, Hazel, Rylee, Olivia, Avery, Nevaeh. I ate indian food.\",\"I had dinner with Nora, Layla, Kinsley, Piper, Hazel, Rylee, Olivia, Avery, Nevaeh. I ate indian food.\"\n301,2010/02/03,\"I spent 9 talking to Nevaeh, Piper, Layla, Claire on various topics in the morning.\",\"I spent 9 talking to Nevaeh, Piper, Layla, Claire on various topics in the morning.\"\n302,2010/02/03,I talked to Olivia for 18 minutes late in the evening.,I talked to Olivia for 18 minutes late in the evening.\n303,2010/02/03,I spent 5 talking to Claire on various topics in the early evening.,I spent 5 talking to Claire on various topics in the early evening.\n304,2010/02/03,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n305,2010/02/03,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n306,2010/02/04,I did biking on 2010/02/04.,I did biking on 2010/02/04.\n307,2010/02/04,\"I had pancakes for breakfast with Kayden, Carter\",\"I had pancakes for breakfast with Kayden, Carter\"\n308,2010/02/04,I ate steak for lunch.,I ate steak for lunch.\n309,2010/02/04,I had dinner with Kayden. I ate indian food.,I had dinner with Kayden. I ate indian food.\n310,2010/02/04,\"I spent 42 talking to Eva, Kinsley on various topics in the morning.\",\"I spent 42 talking to Eva, Kinsley on various topics in the morning.\"\n311,2010/02/04,\"I spent 8 talking to Eva, Lydia, Nora, Kinsley on various topics in the late afternoon.\",\"I spent 8 talking to Eva, Lydia, Nora, Kinsley on various topics in the late afternoon.\"\n312,2010/02/04,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n313,2010/02/04,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n314,2010/02/05,\"I went grocery shopping with Carter, Andrew, Emily, Kayden. I bought some blackberries, milk, and mouthwash\",\"I went grocery shopping with Carter, Andrew, Emily, Kayden. I bought some blackberries, milk, and mouthwash\"\n315,2010/02/05,I did hiking on 2010/02/05.,I did hiking on 2010/02/05.\n316,2010/02/05,\"I had breakfast with Benjamin, Jackson, Avery, Willow. I ate cereals.\",\"I had breakfast with Benjamin, Jackson, Avery, Willow. I ate cereals.\"\n317,2010/02/05,I ate steak for lunch.,I ate steak for lunch.\n318,2010/02/05,I prepare tacos for dinner.,I prepare tacos for dinner.\n319,2010/02/05,\"I talked to Hazel, Piper, Kinsley for 22 minutes in the early afternoon.\",\"I talked to Hazel, Piper, Kinsley for 22 minutes in the early afternoon.\"\n320,2010/02/05,\"I spent 6 talking to Lydia, Layla, Piper, Olivia on various topics late in the evening.\",\"I spent 6 talking to Lydia, Layla, Piper, Olivia on various topics late in the evening.\"\n321,2010/02/05,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n322,2010/02/05,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n323,2010/02/06,\"On 2010/02/06, I took Caleb on a date to a restaurant\",\"On 2010/02/06, I took Caleb on a date to a restaurant\"\n324,2010/02/06,I did running on 2010/02/06.,I did running on 2010/02/06.\n325,2010/02/06,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n326,2010/02/06,I prepare tacos for lunch.,I prepare tacos for lunch.\n327,2010/02/06,\"I had dinner with Olivia, Claire, Piper, Layla, Kinsley. I ate fish and chips.\",\"I had dinner with Olivia, Claire, Piper, Layla, Kinsley. I ate fish and chips.\"\n328,2010/02/06,\"I talked to Lydia, Olivia for 12 minutes in the late afternoon.\",\"I talked to Lydia, Olivia for 12 minutes in the late afternoon.\"\n329,2010/02/06,I spent 6 talking to Piper on various topics in the early evening.,I spent 6 talking to Piper on various topics in the early evening.\n330,2010/02/06,\"I spent 48 talking to Layla, Claire on various topics in the early afternoon.\",\"I spent 48 talking to Layla, Claire on various topics in the early afternoon.\"\n331,2010/02/06,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n332,2010/02/06,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n333,2010/02/07,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n334,2010/02/07,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n335,2010/02/07,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n336,2010/02/07,\"I spent 42 talking to Piper, Piper on various topics late in the evening.\",\"I spent 42 talking to Piper, Piper on various topics late in the evening.\"\n337,2010/02/07,\"I talked to Kinsley, Layla for 22 minutes in the late afternoon.\",\"I talked to Kinsley, Layla for 22 minutes in the late afternoon.\"\n338,2010/02/07,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n339,2010/02/07,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n340,2010/02/08,I did biking on 2010/02/08.,I did biking on 2010/02/08.\n341,2010/02/08,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n342,2010/02/08,I had lunch with Carter. I ate chinese food.,I had lunch with Carter. I ate chinese food.\n343,2010/02/08,I had dinner. I ate steak.,I had dinner. I ate steak.\n344,2010/02/08,I spent 41 talking to Rylee on various topics in the early evening.,I spent 41 talking to Rylee on various topics in the early evening.\n345,2010/02/08,I spent 12 talking to Eva on various topics late in the evening.,I spent 12 talking to Eva on various topics late in the evening.\n346,2010/02/08,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n347,2010/02/08,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n348,2010/02/09,I did HIIT on 2010/02/09.,I did HIIT on 2010/02/09.\n349,2010/02/09,\"I had breakfast with Andrew, Kayden, Carter, Emily. I ate oatmeal.\",\"I had breakfast with Andrew, Kayden, Carter, Emily. I ate oatmeal.\"\n350,2010/02/09,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n351,2010/02/09,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n352,2010/02/09,\"I spent 54 talking to Avery, Hazel, Lydia, Piper on various topics in the morning.\",\"I spent 54 talking to Avery, Hazel, Lydia, Piper on various topics in the morning.\"\n353,2010/02/09,\"I spent 54 talking to Eva, Hazel, Piper on various topics in the early afternoon.\",\"I spent 54 talking to Eva, Hazel, Piper on various topics in the early afternoon.\"\n354,2010/02/09,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n355,2010/02/09,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n356,2010/02/10,I did swimming on 2010/02/10.,I did swimming on 2010/02/10.\n357,2010/02/10,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n358,2010/02/10,I had lunch with Willow. I ate steak.,I had lunch with Willow. I ate steak.\n359,2010/02/10,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n360,2010/02/10,\"I spent 53 talking to Eva, Hazel, Claire on various topics in the early afternoon.\",\"I spent 53 talking to Eva, Hazel, Claire on various topics in the early afternoon.\"\n361,2010/02/10,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n362,2010/02/10,I spent 24 minutes watching a documentary on TV today.,I spent 24 minutes watching a documentary on TV today.\n363,2010/02/11,I did biking on 2010/02/11.,I did biking on 2010/02/11.\n364,2010/02/11,\"I had eggs, sausages, and bread for breakfast with Avery, Jackson, Willow, Benjamin\",\"I had eggs, sausages, and bread for breakfast with Avery, Jackson, Willow, Benjamin\"\n365,2010/02/11,\"I had lunch with Avery, Benjamin, Willow. I ate indian food.\",\"I had lunch with Avery, Benjamin, Willow. I ate indian food.\"\n366,2010/02/11,\"I had dinner with Eva, Piper, Layla, Claire, Olivia, Kinsley, Piper, Nevaeh, Nora, Hazel, Rylee, Lydia, Avery. I ate fish and chips.\",\"I had dinner with Eva, Piper, Layla, Claire, Olivia, Kinsley, Piper, Nevaeh, Nora, Hazel, Rylee, Lydia, Avery. I ate fish and chips.\"\n367,2010/02/11,I spent 8 talking to Piper on various topics in the early evening.,I spent 8 talking to Piper on various topics in the early evening.\n368,2010/02/11,\"I spent 10 talking to Lydia, Claire, Nevaeh on various topics late in the evening.\",\"I spent 10 talking to Lydia, Claire, Nevaeh on various topics late in the evening.\"\n369,2010/02/11,\"I spent 15 talking to Olivia, Kinsley on various topics in the morning.\",\"I spent 15 talking to Olivia, Kinsley on various topics in the morning.\"\n370,2010/02/11,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n371,2010/02/11,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n372,2010/02/12,\"On 2010/02/12 Carter, Kayden and I went to Philadelphia, US together for 6 days \",\"On 2010/02/12 Carter, Kayden and I went to Philadelphia, US together for 6 days \"\n373,2010/02/12,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n374,2010/02/12,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n375,2010/02/12,\"I had dinner with Nevaeh, Olivia, Claire, Piper, Rylee, Hazel, Nora, Kinsley. I ate chinese food.\",\"I had dinner with Nevaeh, Olivia, Claire, Piper, Rylee, Hazel, Nora, Kinsley. I ate chinese food.\"\n376,2010/02/12,\"I talked to Avery, Lydia, Piper for 15 minutes in the early afternoon.\",\"I talked to Avery, Lydia, Piper for 15 minutes in the early afternoon.\"\n377,2010/02/12,\"I talked to Lydia, Piper, Hazel, Olivia for 55 minutes in the late afternoon.\",\"I talked to Lydia, Piper, Hazel, Olivia for 55 minutes in the late afternoon.\"\n378,2010/02/12,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n379,2010/02/12,I watched a movie for 30 minutes on TV today.,I watched a movie for 30 minutes on TV today.\n380,2010/02/13,\"During my trip to Philadelphia, US, I visited Liberty Bell on 2010/02 with Carter, Kayden.\",\"During my trip to Philadelphia, US, I visited Liberty Bell on 2010/02 with Carter, Kayden.\"\n381,2010/02/13,\"I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/13 when I was in Philadelphia, US.\",\"I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/13 when I was in Philadelphia, US.\"\n382,2010/02/13,\"I had oatmeal for breakfast with Carter, Kayden\",\"I had oatmeal for breakfast with Carter, Kayden\"\n383,2010/02/13,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n384,2010/02/13,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n385,2010/02/13,I spent 10 talking to Nora on various topics late in the evening.,I spent 10 talking to Nora on various topics late in the evening.\n386,2010/02/13,\"I spent 41 talking to Rylee, Eva, Hazel on various topics in the early evening.\",\"I spent 41 talking to Rylee, Eva, Hazel on various topics in the early evening.\"\n387,2010/02/13,I talked to Kinsley for 35 minutes in the early evening.,I talked to Kinsley for 35 minutes in the early evening.\n388,2010/02/13,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n389,2010/02/13,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n390,2010/02/14,\"During my trip to Philadelphia, US, I visited Philadelphia Museum of Art on 2010/02 with Carter, Kayden.\",\"During my trip to Philadelphia, US, I visited Philadelphia Museum of Art on 2010/02 with Carter, Kayden.\"\n391,2010/02/14,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n392,2010/02/14,I ate steak for lunch.,I ate steak for lunch.\n393,2010/02/14,I prepare tacos for dinner.,I prepare tacos for dinner.\n394,2010/02/14,\"I spent 55 talking to Piper, Lydia, Claire, Avery on various topics in the morning.\",\"I spent 55 talking to Piper, Lydia, Claire, Avery on various topics in the morning.\"\n395,2010/02/14,\"I spent 31 talking to Olivia, Piper, Rylee, Eva on various topics in the early evening.\",\"I spent 31 talking to Olivia, Piper, Rylee, Eva on various topics in the early evening.\"\n396,2010/02/14,I talked to Nevaeh for 40 minutes late in the evening.,I talked to Nevaeh for 40 minutes late in the evening.\n397,2010/02/14,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n398,2010/02/14,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n399,2010/02/15,\"During my trip to Philadelphia, US, I visited Ipanema on 2010/02 with Carter, Kayden.\",\"During my trip to Philadelphia, US, I visited Ipanema on 2010/02 with Carter, Kayden.\"\n400,2010/02/15,\"I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/15 when I was in Philadelphia, US.\",\"I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/15 when I was in Philadelphia, US.\"\n401,2010/02/15,\"I had breakfast with Nora, Nevaeh, Piper, Eva. I ate eggs, sausages, and bread.\",\"I had breakfast with Nora, Nevaeh, Piper, Eva. I ate eggs, sausages, and bread.\"\n402,2010/02/15,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n403,2010/02/15,\"I had dinner with Carter, Emily. I ate chinese food.\",\"I had dinner with Carter, Emily. I ate chinese food.\"\n404,2010/02/15,\"I spent 29 talking to Avery, Nevaeh on various topics in the late afternoon.\",\"I spent 29 talking to Avery, Nevaeh on various topics in the late afternoon.\"\n405,2010/02/15,\"I spent 53 talking to Hazel, Nevaeh, Eva, Piper on various topics in the early evening.\",\"I spent 53 talking to Hazel, Nevaeh, Eva, Piper on various topics in the early evening.\"\n406,2010/02/15,\"I spent 36 talking to Rylee, Hazel, Layla on various topics in the early afternoon.\",\"I spent 36 talking to Rylee, Hazel, Layla on various topics in the early afternoon.\"\n407,2010/02/15,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n408,2010/02/15,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n409,2010/02/16,\"During my trip to Philadelphia, US, I visited Carnaval on 2010/02 with Carter, Kayden.\",\"During my trip to Philadelphia, US, I visited Carnaval on 2010/02 with Carter, Kayden.\"\n410,2010/02/16,\"I ate street food at Lunch Street with Carter, Kayden on  2010/02/16 when I was in Philadelphia, US.\",\"I ate street food at Lunch Street with Carter, Kayden on  2010/02/16 when I was in Philadelphia, US.\"\n411,2010/02/16,\"I had pancakes for breakfast with Emily, Andrew, Carter, Kayden\",\"I had pancakes for breakfast with Emily, Andrew, Carter, Kayden\"\n412,2010/02/16,I ate pasta for lunch.,I ate pasta for lunch.\n413,2010/02/16,\"I had dinner with Andrew, Carter. I ate fish and chips.\",\"I had dinner with Andrew, Carter. I ate fish and chips.\"\n414,2010/02/16,\"I spent 25 talking to Avery, Claire, Layla, Hazel on various topics in the early afternoon.\",\"I spent 25 talking to Avery, Claire, Layla, Hazel on various topics in the early afternoon.\"\n415,2010/02/16,\"I talked to Layla, Piper, Lydia for 42 minutes during lunch hours.\",\"I talked to Layla, Piper, Lydia for 42 minutes during lunch hours.\"\n416,2010/02/16,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n417,2010/02/16,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n418,2010/02/17,\"During my trip to Philadelphia, US, I visited Independence Hall on 2010/02 with Carter, Kayden.\",\"During my trip to Philadelphia, US, I visited Independence Hall on 2010/02 with Carter, Kayden.\"\n419,2010/02/17,\"I ate Japanese food at High Street Philly with Carter, Kayden on  2010/02/17 when I was in Philadelphia, US.\",\"I ate Japanese food at High Street Philly with Carter, Kayden on  2010/02/17 when I was in Philadelphia, US.\"\n420,2010/02/17,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n421,2010/02/17,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n422,2010/02/17,\"I had dinner with Willow, Benjamin, Jackson. I ate pasta.\",\"I had dinner with Willow, Benjamin, Jackson. I ate pasta.\"\n423,2010/02/17,\"I spent 27 talking to Avery, Nora on various topics in the late afternoon.\",\"I spent 27 talking to Avery, Nora on various topics in the late afternoon.\"\n424,2010/02/17,I talked to Avery for 43 minutes in the early evening.,I talked to Avery for 43 minutes in the early evening.\n425,2010/02/17,I talked to Nevaeh for 51 minutes in the late afternoon.,I talked to Nevaeh for 51 minutes in the late afternoon.\n426,2010/02/17,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n427,2010/02/17,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n428,2010/02/18,\"I ate Japanese food at Wood Street Pizza with Carter, Kayden on  2010/02/18 when I was in Philadelphia, US.\",\"I ate Japanese food at Wood Street Pizza with Carter, Kayden on  2010/02/18 when I was in Philadelphia, US.\"\n429,2010/02/18,\"I bought some apricots, blackberries, tea, toothpaste, mouthwash, paper towel online.\",\"I bought some apricots, blackberries, tea, toothpaste, mouthwash, paper towel online.\"\n430,2010/02/18,\"I had oatmeal for breakfast with Avery, Nevaeh, Hazel, Piper, Rylee, Piper, Kinsley, Claire, Layla, Eva\",\"I had oatmeal for breakfast with Avery, Nevaeh, Hazel, Piper, Rylee, Piper, Kinsley, Claire, Layla, Eva\"\n431,2010/02/18,I ate chinese food for lunch.,I ate chinese food for lunch.\n432,2010/02/18,\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\",\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\"\n433,2010/02/18,\"I spent 42 talking to Nora, Nevaeh on various topics in the late afternoon.\",\"I spent 42 talking to Nora, Nevaeh on various topics in the late afternoon.\"\n434,2010/02/18,\"I talked to Eva, Nevaeh for 17 minutes during lunch hours.\",\"I talked to Eva, Nevaeh for 17 minutes during lunch hours.\"\n435,2010/02/18,\"I talked to Avery, Rylee, Layla, Nevaeh for 8 minutes late in the evening.\",\"I talked to Avery, Rylee, Layla, Nevaeh for 8 minutes late in the evening.\"\n436,2010/02/18,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n437,2010/02/18,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n438,2010/02/19,\"I bought some watermelons, clementines, nectarines, peaches, milk, facial wash, mouthwash from the grocery store. I saw Jackson at the grocery store.\",\"I bought some watermelons, clementines, nectarines, peaches, milk, facial wash, mouthwash from the grocery store. I saw Jackson at the grocery store.\"\n439,2010/02/19,I did swimming on 2010/02/19.,I did swimming on 2010/02/19.\n440,2010/02/19,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n441,2010/02/19,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n442,2010/02/19,\"I had dinner with Kayden, Andrew. I ate pasta.\",\"I had dinner with Kayden, Andrew. I ate pasta.\"\n443,2010/02/19,I talked to Lydia for 37 minutes during lunch hours.,I talked to Lydia for 37 minutes during lunch hours.\n444,2010/02/19,\"I talked to Layla, Eva, Piper for 17 minutes late in the evening.\",\"I talked to Layla, Eva, Piper for 17 minutes late in the evening.\"\n445,2010/02/19,\"I spent 41 talking to Claire, Layla, Piper, Kinsley on various topics during lunch hours.\",\"I spent 41 talking to Claire, Layla, Piper, Kinsley on various topics during lunch hours.\"\n446,2010/02/19,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n447,2010/02/19,I spent 6 minutes watching a movie on TV today.,I spent 6 minutes watching a movie on TV today.\n448,2010/02/20,\"On 2010/02/20, I took Jade on a date to a boba shop\",\"On 2010/02/20, I took Jade on a date to a boba shop\"\n449,2010/02/20,I did HIIT on 2010/02/20.,I did HIIT on 2010/02/20.\n450,2010/02/20,\"I had breakfast with Emily, Andrew, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Andrew, Carter. I ate eggs, sausages, and bread.\"\n451,2010/02/20,I prepare indian food for lunch.,I prepare indian food for lunch.\n452,2010/02/20,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n453,2010/02/20,\"I talked to Hazel, Piper, Claire, Rylee for 40 minutes during lunch hours.\",\"I talked to Hazel, Piper, Claire, Rylee for 40 minutes during lunch hours.\"\n454,2010/02/20,\"I spent 34 talking to Olivia, Kinsley, Claire on various topics late in the evening.\",\"I spent 34 talking to Olivia, Kinsley, Claire on various topics late in the evening.\"\n455,2010/02/20,I talked to Nora for 29 minutes late in the evening.,I talked to Nora for 29 minutes late in the evening.\n456,2010/02/20,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n457,2010/02/20,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n458,2010/02/21,I did weight lifting on 2010/02/21.,I did weight lifting on 2010/02/21.\n459,2010/02/21,\"I had breakfast with Avery, Benjamin. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Benjamin. I ate eggs, sausages, and bread.\"\n460,2010/02/21,I ate chinese food for lunch.,I ate chinese food for lunch.\n461,2010/02/21,I ate tacos for dinner.,I ate tacos for dinner.\n462,2010/02/21,\"I talked to Nora, Avery, Layla, Piper for 46 minutes late in the evening.\",\"I talked to Nora, Avery, Layla, Piper for 46 minutes late in the evening.\"\n463,2010/02/21,\"I spent 50 talking to Nora, Lydia, Nevaeh on various topics in the late afternoon.\",\"I spent 50 talking to Nora, Lydia, Nevaeh on various topics in the late afternoon.\"\n464,2010/02/21,I talked to Avery for 47 minutes in the morning.,I talked to Avery for 47 minutes in the morning.\n465,2010/02/21,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n466,2010/02/21,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n467,2010/02/22,I did running on 2010/02/22.,I did running on 2010/02/22.\n468,2010/02/22,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n469,2010/02/22,I prepare tacos for lunch.,I prepare tacos for lunch.\n470,2010/02/22,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n471,2010/02/22,\"I spent 55 talking to Piper, Lydia on various topics in the morning.\",\"I spent 55 talking to Piper, Lydia on various topics in the morning.\"\n472,2010/02/22,I spent 46 talking to Piper on various topics in the early afternoon.,I spent 46 talking to Piper on various topics in the early afternoon.\n473,2010/02/22,\"I talked to Piper, Layla, Claire, Eva for 49 minutes during lunch hours.\",\"I talked to Piper, Layla, Claire, Eva for 49 minutes during lunch hours.\"\n474,2010/02/22,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n475,2010/02/22,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n476,2010/02/23,I did weight lifting on 2010/02/23.,I did weight lifting on 2010/02/23.\n477,2010/02/23,I ate cereals for breakfast.,I ate cereals for breakfast.\n478,2010/02/23,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n479,2010/02/23,\"I had sushi for dinner with Carter, Emily\",\"I had sushi for dinner with Carter, Emily\"\n480,2010/02/23,\"I talked to Claire, Piper, Avery for 41 minutes in the early evening.\",\"I talked to Claire, Piper, Avery for 41 minutes in the early evening.\"\n481,2010/02/23,\"I talked to Avery, Claire, Rylee for 12 minutes during lunch hours.\",\"I talked to Avery, Claire, Rylee for 12 minutes during lunch hours.\"\n482,2010/02/23,\"I talked to Nora, Avery for 28 minutes in the early afternoon.\",\"I talked to Nora, Avery for 28 minutes in the early afternoon.\"\n483,2010/02/23,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n484,2010/02/23,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n485,2010/02/24,\"I bought some bananas, chocolate milk, pineapple juice, soda, milk, toothpaste, shaving cream from the grocery store. I saw Eva, Nevaeh, Hazel, Piper, Claire at the grocery store.\",\"I bought some bananas, chocolate milk, pineapple juice, soda, milk, toothpaste, shaving cream from the grocery store. I saw Eva, Nevaeh, Hazel, Piper, Claire at the grocery store.\"\n486,2010/02/24,I did swimming on 2010/02/24.,I did swimming on 2010/02/24.\n487,2010/02/24,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n488,2010/02/24,\"I had lunch with Kayden, Emily, Carter. I ate indian food.\",\"I had lunch with Kayden, Emily, Carter. I ate indian food.\"\n489,2010/02/24,I ate pasta for dinner.,I ate pasta for dinner.\n490,2010/02/24,\"I talked to Olivia, Kinsley, Piper, Avery for 26 minutes in the early evening.\",\"I talked to Olivia, Kinsley, Piper, Avery for 26 minutes in the early evening.\"\n491,2010/02/24,I spent 15 talking to Olivia on various topics during lunch hours.,I spent 15 talking to Olivia on various topics during lunch hours.\n492,2010/02/24,\"I talked to Olivia, Layla, Avery, Piper for 36 minutes in the late afternoon.\",\"I talked to Olivia, Layla, Avery, Piper for 36 minutes in the late afternoon.\"\n493,2010/02/24,\"I spent 12 talking to Piper, Kinsley on various topics in the morning.\",\"I spent 12 talking to Piper, Kinsley on various topics in the morning.\"\n494,2010/02/24,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n495,2010/02/24,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n496,2010/02/25,\"On 2010/02/25, I took Lillian on a date to a coffee Shop\",\"On 2010/02/25, I took Lillian on a date to a coffee Shop\"\n497,2010/02/25,I really enjoyed gardening on 2010/02/25,I really enjoyed gardening on 2010/02/25\n498,2010/02/25,I did HIIT on 2010/02/25.,I did HIIT on 2010/02/25.\n499,2010/02/25,I had peanut-butter-jam for breakfast with Andrew,I had peanut-butter-jam for breakfast with Andrew\n500,2010/02/25,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n501,2010/02/25,\"I had pasta for dinner with Avery, Kinsley\",\"I had pasta for dinner with Avery, Kinsley\"\n502,2010/02/25,I spent 41 talking to Kinsley on various topics in the morning.,I spent 41 talking to Kinsley on various topics in the morning.\n503,2010/02/25,\"I talked to Piper, Piper for 42 minutes in the early afternoon.\",\"I talked to Piper, Piper for 42 minutes in the early afternoon.\"\n504,2010/02/25,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n505,2010/02/25,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n506,2010/02/26,\"I bought some guava, chocolate milk, guava juice, tea, body lotion, shaving cream, mouthwash, facial wash from the grocery store. I saw Carter at the grocery store.\",\"I bought some guava, chocolate milk, guava juice, tea, body lotion, shaving cream, mouthwash, facial wash from the grocery store. I saw Carter at the grocery store.\"\n507,2010/02/26,I did swimming on 2010/02/26.,I did swimming on 2010/02/26.\n508,2010/02/26,\"I had toast and cheese for breakfast with Kayden, Carter\",\"I had toast and cheese for breakfast with Kayden, Carter\"\n509,2010/02/26,I prepare steak for lunch.,I prepare steak for lunch.\n510,2010/02/26,I ate tacos for dinner.,I ate tacos for dinner.\n511,2010/02/26,I talked to Hazel for 35 minutes in the early afternoon.,I talked to Hazel for 35 minutes in the early afternoon.\n512,2010/02/26,\"I talked to Claire, Avery for 45 minutes during lunch hours.\",\"I talked to Claire, Avery for 45 minutes during lunch hours.\"\n513,2010/02/26,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n514,2010/02/26,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n515,2010/02/27,I did running on 2010/02/27.,I did running on 2010/02/27.\n516,2010/02/27,\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate cereals.\",\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate cereals.\"\n517,2010/02/27,I prepare tacos for lunch.,I prepare tacos for lunch.\n518,2010/02/27,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n519,2010/02/27,\"I spent 10 talking to Hazel, Olivia, Layla, Kinsley on various topics in the late afternoon.\",\"I spent 10 talking to Hazel, Olivia, Layla, Kinsley on various topics in the late afternoon.\"\n520,2010/02/27,\"I talked to Lydia, Claire, Eva for 30 minutes in the morning.\",\"I talked to Lydia, Claire, Eva for 30 minutes in the morning.\"\n521,2010/02/27,\"I spent 7 talking to Rylee, Olivia, Kinsley, Hazel on various topics during lunch hours.\",\"I spent 7 talking to Rylee, Olivia, Kinsley, Hazel on various topics during lunch hours.\"\n522,2010/02/27,\"I spent 42 talking to Nevaeh, Rylee, Lydia, Claire on various topics during lunch hours.\",\"I spent 42 talking to Nevaeh, Rylee, Lydia, Claire on various topics during lunch hours.\"\n523,2010/02/27,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n524,2010/02/27,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n525,2010/02/28,I did hiking on 2010/02/28.,I did hiking on 2010/02/28.\n526,2010/02/28,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n527,2010/02/28,\"I had lunch with Carter, Kayden. I ate a burger.\",\"I had lunch with Carter, Kayden. I ate a burger.\"\n528,2010/02/28,I ate pasta for dinner.,I ate pasta for dinner.\n529,2010/02/28,\"I talked to Piper, Nora, Layla, Olivia for 52 minutes in the early evening.\",\"I talked to Piper, Nora, Layla, Olivia for 52 minutes in the early evening.\"\n530,2010/02/28,\"I spent 21 talking to Avery, Claire, Piper on various topics in the early evening.\",\"I spent 21 talking to Avery, Claire, Piper on various topics in the early evening.\"\n531,2010/02/28,\"I talked to Hazel, Claire, Piper for 50 minutes in the early afternoon.\",\"I talked to Hazel, Claire, Piper for 50 minutes in the early afternoon.\"\n532,2010/02/28,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n533,2010/02/28,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n534,2010/03/01,I did biking on 2010/03/01.,I did biking on 2010/03/01.\n535,2010/03/01,\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden\",\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden\"\n536,2010/03/01,I prepare steak for lunch.,I prepare steak for lunch.\n537,2010/03/01,I prepare tacos for dinner.,I prepare tacos for dinner.\n538,2010/03/01,\"I spent 44 talking to Hazel, Claire on various topics in the early evening.\",\"I spent 44 talking to Hazel, Claire on various topics in the early evening.\"\n539,2010/03/01,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n540,2010/03/01,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n541,2010/03/02,I did weight lifting on 2010/03/02.,I did weight lifting on 2010/03/02.\n542,2010/03/02,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n543,2010/03/02,\"I had steak for lunch with Benjamin, Jackson, Willow\",\"I had steak for lunch with Benjamin, Jackson, Willow\"\n544,2010/03/02,\"I had chinese food for dinner with Hazel, Eva, Lydia\",\"I had chinese food for dinner with Hazel, Eva, Lydia\"\n545,2010/03/02,\"I talked to Lydia, Nora, Nevaeh, Hazel for 5 minutes late in the evening.\",\"I talked to Lydia, Nora, Nevaeh, Hazel for 5 minutes late in the evening.\"\n546,2010/03/02,I talked to Lydia for 42 minutes in the late afternoon.,I talked to Lydia for 42 minutes in the late afternoon.\n547,2010/03/02,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n548,2010/03/02,I spent 35 minutes watching a movie on TV today.,I spent 35 minutes watching a movie on TV today.\n549,2010/03/03,I really enjoyed yoga on 2010/03/03,I really enjoyed yoga on 2010/03/03\n550,2010/03/03,I did HIIT on 2010/03/03.,I did HIIT on 2010/03/03.\n551,2010/03/03,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n552,2010/03/03,I ate tacos for lunch.,I ate tacos for lunch.\n553,2010/03/03,\"I had tacos for dinner with Emily, Carter, Andrew\",\"I had tacos for dinner with Emily, Carter, Andrew\"\n554,2010/03/03,\"I spent 50 talking to Nevaeh, Lydia on various topics in the early evening.\",\"I spent 50 talking to Nevaeh, Lydia on various topics in the early evening.\"\n555,2010/03/03,\"I talked to Piper, Nevaeh, Olivia for 55 minutes during lunch hours.\",\"I talked to Piper, Nevaeh, Olivia for 55 minutes during lunch hours.\"\n556,2010/03/03,I spent 32 talking to Piper on various topics during lunch hours.,I spent 32 talking to Piper on various topics during lunch hours.\n557,2010/03/03,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n558,2010/03/03,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n559,2010/03/04,\"I went grocery shopping with Avery, Claire, Rylee, Layla, Nevaeh, Nora, Kinsley, Hazel, Olivia, Lydia, Eva. I bought some guava, blueberries, raspberries, apples, orange juice, mineral water, pineapple juice, milk, and body lotion, mouthwash\",\"I went grocery shopping with Avery, Claire, Rylee, Layla, Nevaeh, Nora, Kinsley, Hazel, Olivia, Lydia, Eva. I bought some guava, blueberries, raspberries, apples, orange juice, mineral water, pineapple juice, milk, and body lotion, mouthwash\"\n560,2010/03/04,I did hiking on 2010/03/04.,I did hiking on 2010/03/04.\n561,2010/03/04,\"I had oatmeal for breakfast with Andrew, Carter, Emily\",\"I had oatmeal for breakfast with Andrew, Carter, Emily\"\n562,2010/03/04,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n563,2010/03/04,\"I had a burger for dinner with Emily, Andrew, Carter\",\"I had a burger for dinner with Emily, Andrew, Carter\"\n564,2010/03/04,\"I talked to Avery, Layla, Lydia, Piper for 21 minutes late in the evening.\",\"I talked to Avery, Layla, Lydia, Piper for 21 minutes late in the evening.\"\n565,2010/03/04,\"I spent 29 talking to Layla, Rylee on various topics in the morning.\",\"I spent 29 talking to Layla, Rylee on various topics in the morning.\"\n566,2010/03/04,\"I spent 52 talking to Claire, Piper, Olivia, Kinsley on various topics in the early evening.\",\"I spent 52 talking to Claire, Piper, Olivia, Kinsley on various topics in the early evening.\"\n567,2010/03/04,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n568,2010/03/04,I spent 29 minutes watching a documentary on TV today.,I spent 29 minutes watching a documentary on TV today.\n569,2010/03/05,\"I bought some pineapples, apples, watermelons, mineral water, milk, mouth wash online.\",\"I bought some pineapples, apples, watermelons, mineral water, milk, mouth wash online.\"\n570,2010/03/05,I did HIIT on 2010/03/05.,I did HIIT on 2010/03/05.\n571,2010/03/05,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n572,2010/03/05,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n573,2010/03/05,I ate indian food for dinner.,I ate indian food for dinner.\n574,2010/03/05,\"I spent 15 talking to Avery, Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 15 talking to Avery, Piper, Nevaeh on various topics in the early afternoon.\"\n575,2010/03/05,\"I talked to Layla, Olivia, Nevaeh for 42 minutes in the late afternoon.\",\"I talked to Layla, Olivia, Nevaeh for 42 minutes in the late afternoon.\"\n576,2010/03/05,\"I talked to Kinsley, Hazel, Nora, Piper for 52 minutes in the morning.\",\"I talked to Kinsley, Hazel, Nora, Piper for 52 minutes in the morning.\"\n577,2010/03/05,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n578,2010/03/05,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n579,2010/03/06,I did hiking on 2010/03/06.,I did hiking on 2010/03/06.\n580,2010/03/06,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n581,2010/03/06,\"I had a burger for lunch with Jackson, Avery, Willow, Benjamin\",\"I had a burger for lunch with Jackson, Avery, Willow, Benjamin\"\n582,2010/03/06,\"I had dinner with Carter, Andrew, Emily. I ate pasta.\",\"I had dinner with Carter, Andrew, Emily. I ate pasta.\"\n583,2010/03/06,I talked to Piper for 30 minutes in the early evening.,I talked to Piper for 30 minutes in the early evening.\n584,2010/03/06,\"I spent 30 talking to Lydia, Layla on various topics in the early afternoon.\",\"I spent 30 talking to Lydia, Layla on various topics in the early afternoon.\"\n585,2010/03/06,\"I spent 18 talking to Hazel, Eva, Lydia, Olivia on various topics late in the evening.\",\"I spent 18 talking to Hazel, Eva, Lydia, Olivia on various topics late in the evening.\"\n586,2010/03/06,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n587,2010/03/06,I watched a tv series for 49 minutes on TV today.,I watched a tv series for 49 minutes on TV today.\n588,2010/03/07,I did hiking on 2010/03/07.,I did hiking on 2010/03/07.\n589,2010/03/07,I had pancakes for breakfast with Kayden,I had pancakes for breakfast with Kayden\n590,2010/03/07,I ate chinese food for lunch.,I ate chinese food for lunch.\n591,2010/03/07,I prepare indian food for dinner.,I prepare indian food for dinner.\n592,2010/03/07,I talked to Avery for 52 minutes during lunch hours.,I talked to Avery for 52 minutes during lunch hours.\n593,2010/03/07,\"I talked to Layla, Piper for 34 minutes during lunch hours.\",\"I talked to Layla, Piper for 34 minutes during lunch hours.\"\n594,2010/03/07,\"I talked to Layla, Lydia, Kinsley, Piper for 26 minutes in the morning.\",\"I talked to Layla, Lydia, Kinsley, Piper for 26 minutes in the morning.\"\n595,2010/03/07,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n596,2010/03/07,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n597,2010/03/08,I did weight lifting on 2010/03/08.,I did weight lifting on 2010/03/08.\n598,2010/03/08,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n599,2010/03/08,I prepare pasta for lunch.,I prepare pasta for lunch.\n600,2010/03/08,\"I had dinner with Emily, Andrew, Kayden, Carter. I ate pasta.\",\"I had dinner with Emily, Andrew, Kayden, Carter. I ate pasta.\"\n601,2010/03/08,\"I spent 20 talking to Eva, Hazel, Claire on various topics in the late afternoon.\",\"I spent 20 talking to Eva, Hazel, Claire on various topics in the late afternoon.\"\n602,2010/03/08,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n603,2010/03/08,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n604,2010/03/09,I did running on 2010/03/09.,I did running on 2010/03/09.\n605,2010/03/09,\"I had breakfast with Piper, Lydia, Nevaeh, Hazel, Claire, Eva, Kinsley, Piper, Layla. I ate oatmeal.\",\"I had breakfast with Piper, Lydia, Nevaeh, Hazel, Claire, Eva, Kinsley, Piper, Layla. I ate oatmeal.\"\n606,2010/03/09,I ate indian food for lunch.,I ate indian food for lunch.\n607,2010/03/09,\"I had chinese food for dinner with Kayden, Carter\",\"I had chinese food for dinner with Kayden, Carter\"\n608,2010/03/09,\"I talked to Layla, Nevaeh for 8 minutes late in the evening.\",\"I talked to Layla, Nevaeh for 8 minutes late in the evening.\"\n609,2010/03/09,\"I spent 10 talking to Olivia, Rylee, Hazel on various topics in the early evening.\",\"I spent 10 talking to Olivia, Rylee, Hazel on various topics in the early evening.\"\n610,2010/03/09,\"I spent 32 talking to Claire, Olivia on various topics in the early afternoon.\",\"I spent 32 talking to Claire, Olivia on various topics in the early afternoon.\"\n611,2010/03/09,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n612,2010/03/09,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n613,2010/03/10,\"I bought some bananas, clementines, tea, mineral water, toothbrush, toothpaste, paper towel, facial wash from the grocery store. I saw Claire, Kinsley, Hazel, Rylee, Avery, Piper, Lydia, Eva, Nevaeh, Layla at the grocery store.\",\"I bought some bananas, clementines, tea, mineral water, toothbrush, toothpaste, paper towel, facial wash from the grocery store. I saw Claire, Kinsley, Hazel, Rylee, Avery, Piper, Lydia, Eva, Nevaeh, Layla at the grocery store.\"\n614,2010/03/10,I did running on 2010/03/10.,I did running on 2010/03/10.\n615,2010/03/10,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n616,2010/03/10,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n617,2010/03/10,\"I had dinner with Nevaeh, Nora, Rylee, Hazel, Piper, Avery, Eva, Piper. I ate sandwich.\",\"I had dinner with Nevaeh, Nora, Rylee, Hazel, Piper, Avery, Eva, Piper. I ate sandwich.\"\n618,2010/03/10,I talked to Eva for 37 minutes in the early evening.,I talked to Eva for 37 minutes in the early evening.\n619,2010/03/10,I spent 18 talking to Piper on various topics in the morning.,I spent 18 talking to Piper on various topics in the morning.\n620,2010/03/10,I spent 8 talking to Eva on various topics during lunch hours.,I spent 8 talking to Eva on various topics during lunch hours.\n621,2010/03/10,\"I spent 39 talking to Lydia, Piper on various topics in the morning.\",\"I spent 39 talking to Lydia, Piper on various topics in the morning.\"\n622,2010/03/10,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n623,2010/03/10,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n624,2010/03/11,I did biking on 2010/03/11.,I did biking on 2010/03/11.\n625,2010/03/11,I had breakfast with Carter. I ate peanut-butter-jam.,I had breakfast with Carter. I ate peanut-butter-jam.\n626,2010/03/11,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n627,2010/03/11,\"I had dinner with Lydia, Layla, Claire. I ate pasta.\",\"I had dinner with Lydia, Layla, Claire. I ate pasta.\"\n628,2010/03/11,I talked to Avery for 5 minutes in the early afternoon.,I talked to Avery for 5 minutes in the early afternoon.\n629,2010/03/11,I spent 49 talking to Olivia on various topics in the morning.,I spent 49 talking to Olivia on various topics in the morning.\n630,2010/03/11,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n631,2010/03/11,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n632,2010/03/12,\"I went grocery shopping with Andrew, Emily, Carter. I bought some apples, peaches, orange juice, milk, soda, tea, and shampoo, toothpaste\",\"I went grocery shopping with Andrew, Emily, Carter. I bought some apples, peaches, orange juice, milk, soda, tea, and shampoo, toothpaste\"\n633,2010/03/12,I did swimming on 2010/03/12.,I did swimming on 2010/03/12.\n634,2010/03/12,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n635,2010/03/12,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n636,2010/03/12,I prepare pasta for dinner.,I prepare pasta for dinner.\n637,2010/03/12,\"I talked to Rylee, Olivia, Avery, Nora for 42 minutes in the morning.\",\"I talked to Rylee, Olivia, Avery, Nora for 42 minutes in the morning.\"\n638,2010/03/12,\"I spent 48 talking to Eva, Piper, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 48 talking to Eva, Piper, Nevaeh, Piper on various topics in the early afternoon.\"\n639,2010/03/12,\"I spent 12 talking to Claire, Olivia on various topics late in the evening.\",\"I spent 12 talking to Claire, Olivia on various topics late in the evening.\"\n640,2010/03/12,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n641,2010/03/12,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n642,2010/03/13,I went on a date with Jack on 2010/03/13 at a coffee Shop,I went on a date with Jack on 2010/03/13 at a coffee Shop\n643,2010/03/13,I did biking on 2010/03/13.,I did biking on 2010/03/13.\n644,2010/03/13,I had breakfast with Olivia. I ate oatmeal.,I had breakfast with Olivia. I ate oatmeal.\n645,2010/03/13,I ate tacos for lunch.,I ate tacos for lunch.\n646,2010/03/13,\"I had steak for dinner with Nevaeh, Lydia, Piper, Claire, Layla, Rylee\",\"I had steak for dinner with Nevaeh, Lydia, Piper, Claire, Layla, Rylee\"\n647,2010/03/13,I talked to Kinsley for 50 minutes in the late afternoon.,I talked to Kinsley for 50 minutes in the late afternoon.\n648,2010/03/13,\"I spent 36 talking to Hazel, Nevaeh, Olivia on various topics in the early evening.\",\"I spent 36 talking to Hazel, Nevaeh, Olivia on various topics in the early evening.\"\n649,2010/03/13,I talked to Eva for 35 minutes in the late afternoon.,I talked to Eva for 35 minutes in the late afternoon.\n650,2010/03/13,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n651,2010/03/13,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n652,2010/03/14,I did swimming on 2010/03/14.,I did swimming on 2010/03/14.\n653,2010/03/14,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n654,2010/03/14,\"I had a burger for lunch with Carter, Andrew, Kayden\",\"I had a burger for lunch with Carter, Andrew, Kayden\"\n655,2010/03/14,I had dinner. I ate steak.,I had dinner. I ate steak.\n656,2010/03/14,\"I talked to Olivia, Nevaeh, Piper for 11 minutes in the morning.\",\"I talked to Olivia, Nevaeh, Piper for 11 minutes in the morning.\"\n657,2010/03/14,\"I spent 51 talking to Rylee, Eva on various topics in the morning.\",\"I spent 51 talking to Rylee, Eva on various topics in the morning.\"\n658,2010/03/14,\"I spent 44 talking to Nora, Olivia, Piper, Layla on various topics in the morning.\",\"I spent 44 talking to Nora, Olivia, Piper, Layla on various topics in the morning.\"\n659,2010/03/14,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n660,2010/03/14,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n661,2010/03/15,\"On 2010/03/15, I took Rylee on a date to a restaurant\",\"On 2010/03/15, I took Rylee on a date to a restaurant\"\n662,2010/03/15,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n663,2010/03/15,I had tacos for lunch with Benjamin,I had tacos for lunch with Benjamin\n664,2010/03/15,\"I had dinner with Jackson, Benjamin, Avery. I ate sushi.\",\"I had dinner with Jackson, Benjamin, Avery. I ate sushi.\"\n665,2010/03/15,I spent 5 talking to Nevaeh on various topics in the morning.,I spent 5 talking to Nevaeh on various topics in the morning.\n666,2010/03/15,\"I talked to Nora, Rylee, Claire for 19 minutes in the early evening.\",\"I talked to Nora, Rylee, Claire for 19 minutes in the early evening.\"\n667,2010/03/15,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n668,2010/03/15,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n669,2010/03/16,\"I went grocery shopping with Andrew. I bought some guava, mandarins, peaches, orange juice, pineapple juice, and mouthwash, body lotion\",\"I went grocery shopping with Andrew. I bought some guava, mandarins, peaches, orange juice, pineapple juice, and mouthwash, body lotion\"\n670,2010/03/16,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n671,2010/03/16,I ate indian food for lunch.,I ate indian food for lunch.\n672,2010/03/16,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n673,2010/03/16,I talked to Piper for 7 minutes in the late afternoon.,I talked to Piper for 7 minutes in the late afternoon.\n674,2010/03/16,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n675,2010/03/16,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n676,2010/03/17,I did hiking on 2010/03/17.,I did hiking on 2010/03/17.\n677,2010/03/17,\"I had peanut-butter-jam for breakfast with Nevaeh, Avery, Piper, Rylee, Nora, Kinsley\",\"I had peanut-butter-jam for breakfast with Nevaeh, Avery, Piper, Rylee, Nora, Kinsley\"\n678,2010/03/17,I ate steak for lunch.,I ate steak for lunch.\n679,2010/03/17,\"I had pasta for dinner with Benjamin, Avery, Willow, Jackson\",\"I had pasta for dinner with Benjamin, Avery, Willow, Jackson\"\n680,2010/03/17,I talked to Avery for 55 minutes in the morning.,I talked to Avery for 55 minutes in the morning.\n681,2010/03/17,\"I talked to Layla, Nora, Rylee for 32 minutes in the early afternoon.\",\"I talked to Layla, Nora, Rylee for 32 minutes in the early afternoon.\"\n682,2010/03/17,I talked to Piper for 23 minutes in the late afternoon.,I talked to Piper for 23 minutes in the late afternoon.\n683,2010/03/17,\"I spent 19 talking to Eva, Avery, Hazel, Rylee on various topics in the early evening.\",\"I spent 19 talking to Eva, Avery, Hazel, Rylee on various topics in the early evening.\"\n684,2010/03/17,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n685,2010/03/17,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n686,2010/03/18,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n687,2010/03/18,I ate tacos for lunch.,I ate tacos for lunch.\n688,2010/03/18,I had pasta for dinner with Avery,I had pasta for dinner with Avery\n689,2010/03/18,\"I spent 30 talking to Piper, Eva, Claire, Nora on various topics late in the evening.\",\"I spent 30 talking to Piper, Eva, Claire, Nora on various topics late in the evening.\"\n690,2010/03/18,\"I spent 36 talking to Olivia, Layla, Hazel, Piper on various topics in the early afternoon.\",\"I spent 36 talking to Olivia, Layla, Hazel, Piper on various topics in the early afternoon.\"\n691,2010/03/18,I spent 25 talking to Avery on various topics in the early afternoon.,I spent 25 talking to Avery on various topics in the early afternoon.\n692,2010/03/18,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n693,2010/03/18,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n694,2010/03/19,I did HIIT on 2010/03/19.,I did HIIT on 2010/03/19.\n695,2010/03/19,\"I had eggs, sausages, and bread for breakfast with Carter\",\"I had eggs, sausages, and bread for breakfast with Carter\"\n696,2010/03/19,I prepare indian food for lunch.,I prepare indian food for lunch.\n697,2010/03/19,\"I had dinner with Layla, Claire, Kinsley, Piper, Lydia, Nora, Avery, Rylee, Nevaeh, Olivia, Piper, Hazel, Eva. I ate pasta.\",\"I had dinner with Layla, Claire, Kinsley, Piper, Lydia, Nora, Avery, Rylee, Nevaeh, Olivia, Piper, Hazel, Eva. I ate pasta.\"\n698,2010/03/19,I talked to Avery for 33 minutes in the early evening.,I talked to Avery for 33 minutes in the early evening.\n699,2010/03/19,I spent 17 talking to Olivia on various topics in the morning.,I spent 17 talking to Olivia on various topics in the morning.\n700,2010/03/19,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n701,2010/03/19,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n702,2010/03/20,I went on a date with Lillian on 2010/03/20 at a boba shop,I went on a date with Lillian on 2010/03/20 at a boba shop\n703,2010/03/20,I did HIIT on 2010/03/20.,I did HIIT on 2010/03/20.\n704,2010/03/20,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n705,2010/03/20,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n706,2010/03/20,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n707,2010/03/20,I talked to Avery for 8 minutes during lunch hours.,I talked to Avery for 8 minutes during lunch hours.\n708,2010/03/20,I talked to Nora for 24 minutes late in the evening.,I talked to Nora for 24 minutes late in the evening.\n709,2010/03/20,I talked to Piper for 39 minutes in the late afternoon.,I talked to Piper for 39 minutes in the late afternoon.\n710,2010/03/20,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n711,2010/03/20,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n712,2010/03/21,I did swimming on 2010/03/21.,I did swimming on 2010/03/21.\n713,2010/03/21,\"I had oatmeal for breakfast with Andrew, Emily, Kayden, Carter\",\"I had oatmeal for breakfast with Andrew, Emily, Kayden, Carter\"\n714,2010/03/21,\"I had lunch with Kayden, Emily. I ate tacos.\",\"I had lunch with Kayden, Emily. I ate tacos.\"\n715,2010/03/21,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n716,2010/03/21,\"I spent 45 talking to Kinsley, Piper on various topics in the early evening.\",\"I spent 45 talking to Kinsley, Piper on various topics in the early evening.\"\n717,2010/03/21,\"I talked to Layla, Kinsley, Avery, Claire for 55 minutes during lunch hours.\",\"I talked to Layla, Kinsley, Avery, Claire for 55 minutes during lunch hours.\"\n718,2010/03/21,\"I talked to Layla, Kinsley for 43 minutes in the morning.\",\"I talked to Layla, Kinsley for 43 minutes in the morning.\"\n719,2010/03/21,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n720,2010/03/21,I spent 38 minutes watching a movie on TV today.,I spent 38 minutes watching a movie on TV today.\n721,2010/03/22,I did swimming on 2010/03/22.,I did swimming on 2010/03/22.\n722,2010/03/22,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n723,2010/03/22,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n724,2010/03/22,\"I had pasta for dinner with Nevaeh, Olivia\",\"I had pasta for dinner with Nevaeh, Olivia\"\n725,2010/03/22,\"I talked to Lydia, Hazel for 35 minutes in the morning.\",\"I talked to Lydia, Hazel for 35 minutes in the morning.\"\n726,2010/03/22,I talked to Lydia for 12 minutes late in the evening.,I talked to Lydia for 12 minutes late in the evening.\n727,2010/03/22,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n728,2010/03/22,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n729,2010/03/23,I did weight lifting on 2010/03/23.,I did weight lifting on 2010/03/23.\n730,2010/03/23,\"I had breakfast with Kinsley, Piper, Layla. I ate oatmeal.\",\"I had breakfast with Kinsley, Piper, Layla. I ate oatmeal.\"\n731,2010/03/23,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n732,2010/03/23,I had dinner with Kayden. I ate tacos.,I had dinner with Kayden. I ate tacos.\n733,2010/03/23,\"I spent 19 talking to Avery, Layla, Nora, Lydia on various topics in the morning.\",\"I spent 19 talking to Avery, Layla, Nora, Lydia on various topics in the morning.\"\n734,2010/03/23,\"I spent 20 talking to Nevaeh, Hazel, Rylee on various topics in the morning.\",\"I spent 20 talking to Nevaeh, Hazel, Rylee on various topics in the morning.\"\n735,2010/03/23,\"I spent 15 talking to Layla, Lydia, Piper, Rylee on various topics during lunch hours.\",\"I spent 15 talking to Layla, Lydia, Piper, Rylee on various topics during lunch hours.\"\n736,2010/03/23,\"I spent 29 talking to Rylee, Kinsley, Nora, Piper on various topics in the early afternoon.\",\"I spent 29 talking to Rylee, Kinsley, Nora, Piper on various topics in the early afternoon.\"\n737,2010/03/23,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n738,2010/03/23,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n739,2010/03/24,I did hiking on 2010/03/24.,I did hiking on 2010/03/24.\n740,2010/03/24,I had breakfast with Kayden. I ate pancakes.,I had breakfast with Kayden. I ate pancakes.\n741,2010/03/24,I had lunch with Rylee. I ate tacos.,I had lunch with Rylee. I ate tacos.\n742,2010/03/24,I had dinner. I ate steak.,I had dinner. I ate steak.\n743,2010/03/24,\"I talked to Kinsley, Hazel, Avery for 21 minutes in the early afternoon.\",\"I talked to Kinsley, Hazel, Avery for 21 minutes in the early afternoon.\"\n744,2010/03/24,\"I talked to Lydia, Nevaeh, Layla, Kinsley for 38 minutes late in the evening.\",\"I talked to Lydia, Nevaeh, Layla, Kinsley for 38 minutes late in the evening.\"\n745,2010/03/24,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n746,2010/03/24,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n747,2010/03/25,\"On 2010/03/25, I took Genesis on a date to a park\",\"On 2010/03/25, I took Genesis on a date to a park\"\n748,2010/03/25,I did running on 2010/03/25.,I did running on 2010/03/25.\n749,2010/03/25,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n750,2010/03/25,I had lunch with Kayden. I ate sandwich.,I had lunch with Kayden. I ate sandwich.\n751,2010/03/25,I had dinner. I ate steak.,I had dinner. I ate steak.\n752,2010/03/25,I talked to Rylee for 50 minutes in the early evening.,I talked to Rylee for 50 minutes in the early evening.\n753,2010/03/25,I spent 50 talking to Nora on various topics late in the evening.,I spent 50 talking to Nora on various topics late in the evening.\n754,2010/03/25,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n755,2010/03/25,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n756,2010/03/26,\"I went grocery shopping. I bought some pineapples, blackberries, milk, tea, and facial wash, mouth wash, toilet paper, mouthwash\",\"I went grocery shopping. I bought some pineapples, blackberries, milk, tea, and facial wash, mouth wash, toilet paper, mouthwash\"\n757,2010/03/26,I did weight lifting on 2010/03/26.,I did weight lifting on 2010/03/26.\n758,2010/03/26,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n759,2010/03/26,I had chinese food for lunch with Carter,I had chinese food for lunch with Carter\n760,2010/03/26,\"I had dinner with Kayden, Emily. I ate indian food.\",\"I had dinner with Kayden, Emily. I ate indian food.\"\n761,2010/03/26,\"I talked to Kinsley, Piper for 26 minutes late in the evening.\",\"I talked to Kinsley, Piper for 26 minutes late in the evening.\"\n762,2010/03/26,I spent 17 talking to Piper on various topics in the early evening.,I spent 17 talking to Piper on various topics in the early evening.\n763,2010/03/26,\"I spent 55 talking to Rylee, Layla, Nora on various topics in the early afternoon.\",\"I spent 55 talking to Rylee, Layla, Nora on various topics in the early afternoon.\"\n764,2010/03/26,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n765,2010/03/26,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n766,2010/03/27,\"On 2010/03/27, I took Hazel on a date to a restaurant\",\"On 2010/03/27, I took Hazel on a date to a restaurant\"\n767,2010/03/27,I did HIIT on 2010/03/27.,I did HIIT on 2010/03/27.\n768,2010/03/27,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n769,2010/03/27,I prepare sushi for lunch.,I prepare sushi for lunch.\n770,2010/03/27,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n771,2010/03/27,I spent 53 talking to Piper on various topics in the morning.,I spent 53 talking to Piper on various topics in the morning.\n772,2010/03/27,\"I talked to Avery, Lydia, Piper for 22 minutes in the morning.\",\"I talked to Avery, Lydia, Piper for 22 minutes in the morning.\"\n773,2010/03/27,\"I talked to Eva, Kinsley, Nora for 22 minutes in the early afternoon.\",\"I talked to Eva, Kinsley, Nora for 22 minutes in the early afternoon.\"\n774,2010/03/27,\"I spent 31 talking to Claire, Lydia, Nevaeh, Hazel on various topics during lunch hours.\",\"I spent 31 talking to Claire, Lydia, Nevaeh, Hazel on various topics during lunch hours.\"\n775,2010/03/27,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n776,2010/03/27,I spent 20 minutes watching a movie on TV today.,I spent 20 minutes watching a movie on TV today.\n777,2010/03/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n778,2010/03/28,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n779,2010/03/28,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n780,2010/03/28,I spent 27 talking to Piper on various topics late in the evening.,I spent 27 talking to Piper on various topics late in the evening.\n781,2010/03/28,I talked to Nevaeh for 21 minutes in the early afternoon.,I talked to Nevaeh for 21 minutes in the early afternoon.\n782,2010/03/28,\"I talked to Piper, Olivia, Claire, Eva for 55 minutes late in the evening.\",\"I talked to Piper, Olivia, Claire, Eva for 55 minutes late in the evening.\"\n783,2010/03/28,\"I talked to Layla, Eva, Lydia, Rylee for 52 minutes in the early evening.\",\"I talked to Layla, Eva, Lydia, Rylee for 52 minutes in the early evening.\"\n784,2010/03/28,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n785,2010/03/28,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n786,2010/03/29,\"I spent time working out on 2010/03/29 with Andrew, Carter, Emily.\",\"I spent time working out on 2010/03/29 with Andrew, Carter, Emily.\"\n787,2010/03/29,I did weight lifting on 2010/03/29.,I did weight lifting on 2010/03/29.\n788,2010/03/29,\"I had breakfast with Andrew, Carter. I ate toast and cheese.\",\"I had breakfast with Andrew, Carter. I ate toast and cheese.\"\n789,2010/03/29,\"I had lunch with Eva, Piper, Kinsley. I ate chinese food.\",\"I had lunch with Eva, Piper, Kinsley. I ate chinese food.\"\n790,2010/03/29,\"I had a burger for dinner with Emily, Andrew\",\"I had a burger for dinner with Emily, Andrew\"\n791,2010/03/29,\"I talked to Lydia, Hazel for 9 minutes late in the evening.\",\"I talked to Lydia, Hazel for 9 minutes late in the evening.\"\n792,2010/03/29,\"I talked to Claire, Hazel, Nora, Lydia for 38 minutes late in the evening.\",\"I talked to Claire, Hazel, Nora, Lydia for 38 minutes late in the evening.\"\n793,2010/03/29,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n794,2010/03/29,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n795,2010/03/30,\"I went grocery shopping. I bought some clementines, apricots, strawberries, bananas, mineral water, soda, apple juice, and toothpaste, mouthwash, body lotion\",\"I went grocery shopping. I bought some clementines, apricots, strawberries, bananas, mineral water, soda, apple juice, and toothpaste, mouthwash, body lotion\"\n796,2010/03/30,I did weight lifting on 2010/03/30.,I did weight lifting on 2010/03/30.\n797,2010/03/30,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n798,2010/03/30,I ate pasta for lunch.,I ate pasta for lunch.\n799,2010/03/30,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n800,2010/03/30,\"I spent 33 talking to Nora, Hazel on various topics during lunch hours.\",\"I spent 33 talking to Nora, Hazel on various topics during lunch hours.\"\n801,2010/03/30,I spent 13 talking to Lydia on various topics in the late afternoon.,I spent 13 talking to Lydia on various topics in the late afternoon.\n802,2010/03/30,I talked to Lydia for 52 minutes in the morning.,I talked to Lydia for 52 minutes in the morning.\n803,2010/03/30,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n804,2010/03/30,I spent 27 minutes watching a movie on TV today.,I spent 27 minutes watching a movie on TV today.\n805,2010/03/31,I ate cereals for breakfast.,I ate cereals for breakfast.\n806,2010/03/31,I ate indian food for lunch.,I ate indian food for lunch.\n807,2010/03/31,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n808,2010/03/31,\"I talked to Nevaeh, Nora for 41 minutes in the early evening.\",\"I talked to Nevaeh, Nora for 41 minutes in the early evening.\"\n809,2010/03/31,\"I talked to Avery, Lydia, Layla for 34 minutes in the early evening.\",\"I talked to Avery, Lydia, Layla for 34 minutes in the early evening.\"\n810,2010/03/31,\"I talked to Layla, Piper, Avery, Rylee for 44 minutes in the early evening.\",\"I talked to Layla, Piper, Avery, Rylee for 44 minutes in the early evening.\"\n811,2010/03/31,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n812,2010/03/31,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n813,2010/04/01,\"On 2010/04/01, I took Anthony on a date to a coffee Shop\",\"On 2010/04/01, I took Anthony on a date to a coffee Shop\"\n814,2010/04/01,I did HIIT on 2010/04/01.,I did HIIT on 2010/04/01.\n815,2010/04/01,\"I had peanut-butter-jam for breakfast with Avery, Willow\",\"I had peanut-butter-jam for breakfast with Avery, Willow\"\n816,2010/04/01,\"I had lunch with Carter, Kayden. I ate sushi.\",\"I had lunch with Carter, Kayden. I ate sushi.\"\n817,2010/04/01,I ate steak for dinner.,I ate steak for dinner.\n818,2010/04/01,\"I talked to Rylee, Lydia for 45 minutes in the morning.\",\"I talked to Rylee, Lydia for 45 minutes in the morning.\"\n819,2010/04/01,\"I spent 43 talking to Hazel, Layla on various topics in the late afternoon.\",\"I spent 43 talking to Hazel, Layla on various topics in the late afternoon.\"\n820,2010/04/01,\"I talked to Kinsley, Olivia for 40 minutes in the late afternoon.\",\"I talked to Kinsley, Olivia for 40 minutes in the late afternoon.\"\n821,2010/04/01,\"I spent 44 talking to Nevaeh, Claire, Piper, Eva on various topics in the early afternoon.\",\"I spent 44 talking to Nevaeh, Claire, Piper, Eva on various topics in the early afternoon.\"\n822,2010/04/01,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n823,2010/04/01,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n824,2010/04/02,I spent some time working out on 2010/04/02.,I spent some time working out on 2010/04/02.\n825,2010/04/02,I did swimming on 2010/04/02.,I did swimming on 2010/04/02.\n826,2010/04/02,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n827,2010/04/02,I ate a burger for lunch.,I ate a burger for lunch.\n828,2010/04/02,I had a burger for dinner with Benjamin,I had a burger for dinner with Benjamin\n829,2010/04/02,\"I talked to Nora, Olivia for 31 minutes late in the evening.\",\"I talked to Nora, Olivia for 31 minutes late in the evening.\"\n830,2010/04/02,I spent 19 talking to Kinsley on various topics in the late afternoon.,I spent 19 talking to Kinsley on various topics in the late afternoon.\n831,2010/04/02,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n832,2010/04/02,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n833,2010/04/03,I went on a date with Charles on 2010/04/03 at a boba shop,I went on a date with Charles on 2010/04/03 at a boba shop\n834,2010/04/03,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n835,2010/04/03,I ate indian food for lunch.,I ate indian food for lunch.\n836,2010/04/03,I prepare tacos for dinner.,I prepare tacos for dinner.\n837,2010/04/03,\"I spent 34 talking to Hazel, Claire, Piper, Piper on various topics in the early evening.\",\"I spent 34 talking to Hazel, Claire, Piper, Piper on various topics in the early evening.\"\n838,2010/04/03,\"I spent 47 talking to Olivia, Kinsley, Piper, Eva on various topics in the early evening.\",\"I spent 47 talking to Olivia, Kinsley, Piper, Eva on various topics in the early evening.\"\n839,2010/04/03,\"I spent 39 talking to Claire, Lydia, Nora on various topics in the early evening.\",\"I spent 39 talking to Claire, Lydia, Nora on various topics in the early evening.\"\n840,2010/04/03,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n841,2010/04/03,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n842,2010/04/04,I did HIIT on 2010/04/04.,I did HIIT on 2010/04/04.\n843,2010/04/04,\"I had breakfast with Andrew, Carter. I ate pancakes.\",\"I had breakfast with Andrew, Carter. I ate pancakes.\"\n844,2010/04/04,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n845,2010/04/04,\"I had dinner with Claire, Olivia, Rylee. I ate sushi.\",\"I had dinner with Claire, Olivia, Rylee. I ate sushi.\"\n846,2010/04/04,\"I spent 6 talking to Piper, Piper, Rylee on various topics during lunch hours.\",\"I spent 6 talking to Piper, Piper, Rylee on various topics during lunch hours.\"\n847,2010/04/04,\"I talked to Claire, Hazel, Kinsley for 55 minutes late in the evening.\",\"I talked to Claire, Hazel, Kinsley for 55 minutes late in the evening.\"\n848,2010/04/04,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n849,2010/04/04,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n850,2010/04/05,I did HIIT on 2010/04/05.,I did HIIT on 2010/04/05.\n851,2010/04/05,\"I had breakfast with Kayden, Emily, Carter. I ate pancakes.\",\"I had breakfast with Kayden, Emily, Carter. I ate pancakes.\"\n852,2010/04/05,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n853,2010/04/05,I ate a burger for dinner.,I ate a burger for dinner.\n854,2010/04/05,\"I talked to Nevaeh, Hazel for 9 minutes during lunch hours.\",\"I talked to Nevaeh, Hazel for 9 minutes during lunch hours.\"\n855,2010/04/05,I talked to Kinsley for 14 minutes in the morning.,I talked to Kinsley for 14 minutes in the morning.\n856,2010/04/05,\"I spent 45 talking to Piper, Eva on various topics late in the evening.\",\"I spent 45 talking to Piper, Eva on various topics late in the evening.\"\n857,2010/04/05,\"I talked to Nora, Avery, Hazel, Piper for 23 minutes late in the evening.\",\"I talked to Nora, Avery, Hazel, Piper for 23 minutes late in the evening.\"\n858,2010/04/05,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n859,2010/04/05,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n860,2010/04/06,\"I went grocery shopping. I bought some strawberries, nectarines, pineapples, orange juice, coffee, sports drinks, soda, and mouthwash, facial wash, conditioner\",\"I went grocery shopping. I bought some strawberries, nectarines, pineapples, orange juice, coffee, sports drinks, soda, and mouthwash, facial wash, conditioner\"\n861,2010/04/06,I did biking on 2010/04/06.,I did biking on 2010/04/06.\n862,2010/04/06,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n863,2010/04/06,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n864,2010/04/06,\"I had dinner with Kayden, Emily, Carter. I ate steak.\",\"I had dinner with Kayden, Emily, Carter. I ate steak.\"\n865,2010/04/06,\"I spent 27 talking to Piper, Olivia, Nora, Kinsley on various topics in the morning.\",\"I spent 27 talking to Piper, Olivia, Nora, Kinsley on various topics in the morning.\"\n866,2010/04/06,\"I talked to Eva, Claire, Layla for 17 minutes late in the evening.\",\"I talked to Eva, Claire, Layla for 17 minutes late in the evening.\"\n867,2010/04/06,\"I talked to Claire, Kinsley, Hazel, Nora for 28 minutes in the morning.\",\"I talked to Claire, Kinsley, Hazel, Nora for 28 minutes in the morning.\"\n868,2010/04/06,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n869,2010/04/06,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n870,2010/04/07,I did swimming on 2010/04/07.,I did swimming on 2010/04/07.\n871,2010/04/07,I had breakfast with Willow. I ate cereals.,I had breakfast with Willow. I ate cereals.\n872,2010/04/07,\"I had steak for lunch with Emily, Carter, Andrew\",\"I had steak for lunch with Emily, Carter, Andrew\"\n873,2010/04/07,I had dinner with Carter. I ate tacos.,I had dinner with Carter. I ate tacos.\n874,2010/04/07,\"I talked to Kinsley, Avery, Hazel, Nevaeh for 42 minutes in the early evening.\",\"I talked to Kinsley, Avery, Hazel, Nevaeh for 42 minutes in the early evening.\"\n875,2010/04/07,\"I talked to Hazel, Layla, Eva for 52 minutes in the early afternoon.\",\"I talked to Hazel, Layla, Eva for 52 minutes in the early afternoon.\"\n876,2010/04/07,\"I spent 34 talking to Kinsley, Claire, Nora, Nevaeh on various topics in the early afternoon.\",\"I spent 34 talking to Kinsley, Claire, Nora, Nevaeh on various topics in the early afternoon.\"\n877,2010/04/07,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n878,2010/04/07,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n879,2010/04/08,I went on a date with Sophia on 2010/04/08 at a park,I went on a date with Sophia on 2010/04/08 at a park\n880,2010/04/08,I did HIIT on 2010/04/08.,I did HIIT on 2010/04/08.\n881,2010/04/08,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n882,2010/04/08,I ate sandwich for lunch.,I ate sandwich for lunch.\n883,2010/04/08,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n884,2010/04/08,\"I spent 20 talking to Piper, Piper on various topics in the early afternoon.\",\"I spent 20 talking to Piper, Piper on various topics in the early afternoon.\"\n885,2010/04/08,I spent 52 talking to Eva on various topics in the early afternoon.,I spent 52 talking to Eva on various topics in the early afternoon.\n886,2010/04/08,\"I talked to Olivia, Kinsley, Avery for 36 minutes late in the evening.\",\"I talked to Olivia, Kinsley, Avery for 36 minutes late in the evening.\"\n887,2010/04/08,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n888,2010/04/08,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n889,2010/04/09,I did HIIT on 2010/04/09.,I did HIIT on 2010/04/09.\n890,2010/04/09,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n891,2010/04/09,I prepare pasta for lunch.,I prepare pasta for lunch.\n892,2010/04/09,\"I had fish and chips for dinner with Piper, Nevaeh, Eva, Rylee, Kinsley, Hazel, Piper, Layla, Avery, Nora\",\"I had fish and chips for dinner with Piper, Nevaeh, Eva, Rylee, Kinsley, Hazel, Piper, Layla, Avery, Nora\"\n893,2010/04/09,\"I spent 31 talking to Piper, Olivia, Nevaeh on various topics in the morning.\",\"I spent 31 talking to Piper, Olivia, Nevaeh on various topics in the morning.\"\n894,2010/04/09,\"I spent 21 talking to Nevaeh, Olivia, Rylee on various topics in the late afternoon.\",\"I spent 21 talking to Nevaeh, Olivia, Rylee on various topics in the late afternoon.\"\n895,2010/04/09,\"I spent 54 talking to Avery, Nora on various topics in the early evening.\",\"I spent 54 talking to Avery, Nora on various topics in the early evening.\"\n896,2010/04/09,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n897,2010/04/09,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n898,2010/04/10,\"I went grocery shopping with Carter. I bought some strawberries, blueberries, peaches, pears, soda, orange juice, sports drinks, milk, and mouthwash, shampoo\",\"I went grocery shopping with Carter. I bought some strawberries, blueberries, peaches, pears, soda, orange juice, sports drinks, milk, and mouthwash, shampoo\"\n899,2010/04/10,I did running on 2010/04/10.,I did running on 2010/04/10.\n900,2010/04/10,\"I had pancakes for breakfast with Emily, Kayden, Andrew\",\"I had pancakes for breakfast with Emily, Kayden, Andrew\"\n901,2010/04/10,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n902,2010/04/10,\"I had a burger for dinner with Rylee, Piper, Nora, Olivia, Kinsley, Eva, Lydia, Nevaeh, Hazel, Piper, Claire, Avery, Layla\",\"I had a burger for dinner with Rylee, Piper, Nora, Olivia, Kinsley, Eva, Lydia, Nevaeh, Hazel, Piper, Claire, Avery, Layla\"\n903,2010/04/10,I spent 49 talking to Nevaeh on various topics during lunch hours.,I spent 49 talking to Nevaeh on various topics during lunch hours.\n904,2010/04/10,I spent 53 talking to Avery on various topics in the early afternoon.,I spent 53 talking to Avery on various topics in the early afternoon.\n905,2010/04/10,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n906,2010/04/10,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n907,2010/04/11,I did weight lifting on 2010/04/11.,I did weight lifting on 2010/04/11.\n908,2010/04/11,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n909,2010/04/11,\"I had sushi for lunch with Avery, Claire, Nevaeh, Lydia\",\"I had sushi for lunch with Avery, Claire, Nevaeh, Lydia\"\n910,2010/04/11,I ate pasta for dinner.,I ate pasta for dinner.\n911,2010/04/11,I talked to Claire for 33 minutes during lunch hours.,I talked to Claire for 33 minutes during lunch hours.\n912,2010/04/11,I spent 31 talking to Lydia on various topics during lunch hours.,I spent 31 talking to Lydia on various topics during lunch hours.\n913,2010/04/11,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n914,2010/04/11,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n915,2010/04/12,I did hiking on 2010/04/12.,I did hiking on 2010/04/12.\n916,2010/04/12,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n917,2010/04/12,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n918,2010/04/12,\"I had a burger for dinner with Nora, Claire, Rylee, Kinsley\",\"I had a burger for dinner with Nora, Claire, Rylee, Kinsley\"\n919,2010/04/12,\"I talked to Nora, Kinsley for 22 minutes during lunch hours.\",\"I talked to Nora, Kinsley for 22 minutes during lunch hours.\"\n920,2010/04/12,I spent 29 talking to Olivia on various topics in the late afternoon.,I spent 29 talking to Olivia on various topics in the late afternoon.\n921,2010/04/12,\"I spent 14 talking to Layla, Rylee, Eva on various topics in the early afternoon.\",\"I spent 14 talking to Layla, Rylee, Eva on various topics in the early afternoon.\"\n922,2010/04/12,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n923,2010/04/12,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n924,2010/04/13,I did swimming on 2010/04/13.,I did swimming on 2010/04/13.\n925,2010/04/13,\"I had eggs, sausages, and bread for breakfast with Avery, Jackson, Willow, Benjamin\",\"I had eggs, sausages, and bread for breakfast with Avery, Jackson, Willow, Benjamin\"\n926,2010/04/13,I prepare a burger for lunch.,I prepare a burger for lunch.\n927,2010/04/13,I had dinner with Benjamin. I ate tacos.,I had dinner with Benjamin. I ate tacos.\n928,2010/04/13,\"I spent 19 talking to Nora, Nevaeh, Lydia, Hazel on various topics in the late afternoon.\",\"I spent 19 talking to Nora, Nevaeh, Lydia, Hazel on various topics in the late afternoon.\"\n929,2010/04/13,\"I talked to Avery, Layla for 25 minutes during lunch hours.\",\"I talked to Avery, Layla for 25 minutes during lunch hours.\"\n930,2010/04/13,\"I talked to Hazel, Piper for 50 minutes late in the evening.\",\"I talked to Hazel, Piper for 50 minutes late in the evening.\"\n931,2010/04/13,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n932,2010/04/13,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n933,2010/04/14,\"I bought some blueberries, raspberries, pineapples, watermelons, guava juice, orange juice, soda, body lotion, conditioner online.\",\"I bought some blueberries, raspberries, pineapples, watermelons, guava juice, orange juice, soda, body lotion, conditioner online.\"\n934,2010/04/14,I did swimming on 2010/04/14.,I did swimming on 2010/04/14.\n935,2010/04/14,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n936,2010/04/14,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n937,2010/04/14,\"I had tacos for dinner with Piper, Nora, Claire, Nevaeh\",\"I had tacos for dinner with Piper, Nora, Claire, Nevaeh\"\n938,2010/04/14,\"I spent 14 talking to Piper, Avery, Eva on various topics during lunch hours.\",\"I spent 14 talking to Piper, Avery, Eva on various topics during lunch hours.\"\n939,2010/04/14,I talked to Hazel for 50 minutes in the late afternoon.,I talked to Hazel for 50 minutes in the late afternoon.\n940,2010/04/14,I spent 28 talking to Nora on various topics in the late afternoon.,I spent 28 talking to Nora on various topics in the late afternoon.\n941,2010/04/14,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n942,2010/04/14,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n943,2010/04/15,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n944,2010/04/15,I had a burger for lunch with Avery,I had a burger for lunch with Avery\n945,2010/04/15,I had sandwich for dinner with Carter,I had sandwich for dinner with Carter\n946,2010/04/15,\"I talked to Nora, Piper, Layla for 13 minutes in the morning.\",\"I talked to Nora, Piper, Layla for 13 minutes in the morning.\"\n947,2010/04/15,I talked to Avery for 55 minutes in the morning.,I talked to Avery for 55 minutes in the morning.\n948,2010/04/15,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n949,2010/04/15,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n950,2010/04/16,I really enjoyed meditation on 2010/04/16,I really enjoyed meditation on 2010/04/16\n951,2010/04/16,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n952,2010/04/16,\"I had a burger for lunch with Emily, Andrew\",\"I had a burger for lunch with Emily, Andrew\"\n953,2010/04/16,I ate chinese food for dinner.,I ate chinese food for dinner.\n954,2010/04/16,\"I spent 23 talking to Nora, Eva, Nevaeh, Claire on various topics in the early afternoon.\",\"I spent 23 talking to Nora, Eva, Nevaeh, Claire on various topics in the early afternoon.\"\n955,2010/04/16,I talked to Hazel for 51 minutes in the late afternoon.,I talked to Hazel for 51 minutes in the late afternoon.\n956,2010/04/16,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n957,2010/04/16,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n958,2010/04/17,\"I bought some mangos, cherres, soda, mineral water, pineapple juice, chocolate milk, mouth wash online.\",\"I bought some mangos, cherres, soda, mineral water, pineapple juice, chocolate milk, mouth wash online.\"\n959,2010/04/17,\"I had oatmeal for breakfast with Andrew, Emily, Carter, Kayden\",\"I had oatmeal for breakfast with Andrew, Emily, Carter, Kayden\"\n960,2010/04/17,\"I had steak for lunch with Lydia, Nora, Nevaeh, Claire, Piper, Hazel\",\"I had steak for lunch with Lydia, Nora, Nevaeh, Claire, Piper, Hazel\"\n961,2010/04/17,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n962,2010/04/17,\"I talked to Piper, Nevaeh, Rylee, Kinsley for 16 minutes in the early evening.\",\"I talked to Piper, Nevaeh, Rylee, Kinsley for 16 minutes in the early evening.\"\n963,2010/04/17,\"I spent 7 talking to Piper, Eva on various topics in the late afternoon.\",\"I spent 7 talking to Piper, Eva on various topics in the late afternoon.\"\n964,2010/04/17,\"I spent 12 talking to Rylee, Avery, Layla on various topics in the early afternoon.\",\"I spent 12 talking to Rylee, Avery, Layla on various topics in the early afternoon.\"\n965,2010/04/17,I talked to Lydia for 17 minutes late in the evening.,I talked to Lydia for 17 minutes late in the evening.\n966,2010/04/17,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n967,2010/04/17,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n968,2010/04/18,I did hiking on 2010/04/18.,I did hiking on 2010/04/18.\n969,2010/04/18,\"I had breakfast with Avery, Jackson. I ate cereals.\",\"I had breakfast with Avery, Jackson. I ate cereals.\"\n970,2010/04/18,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n971,2010/04/18,I ate chinese food for dinner.,I ate chinese food for dinner.\n972,2010/04/18,\"I spent 24 talking to Avery, Nora, Piper, Piper on various topics in the early evening.\",\"I spent 24 talking to Avery, Nora, Piper, Piper on various topics in the early evening.\"\n973,2010/04/18,\"I talked to Kinsley, Olivia, Layla, Claire for 21 minutes in the late afternoon.\",\"I talked to Kinsley, Olivia, Layla, Claire for 21 minutes in the late afternoon.\"\n974,2010/04/18,\"I talked to Eva, Hazel, Nora, Nevaeh for 32 minutes in the early afternoon.\",\"I talked to Eva, Hazel, Nora, Nevaeh for 32 minutes in the early afternoon.\"\n975,2010/04/18,\"I spent 38 talking to Olivia, Claire on various topics in the early afternoon.\",\"I spent 38 talking to Olivia, Claire on various topics in the early afternoon.\"\n976,2010/04/18,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n977,2010/04/18,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n978,2010/04/19,I did weight lifting on 2010/04/19.,I did weight lifting on 2010/04/19.\n979,2010/04/19,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n980,2010/04/19,I prepare tacos for lunch.,I prepare tacos for lunch.\n981,2010/04/19,I ate chinese food for dinner.,I ate chinese food for dinner.\n982,2010/04/19,\"I talked to Nevaeh, Piper for 34 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper for 34 minutes in the late afternoon.\"\n983,2010/04/19,\"I talked to Olivia, Rylee, Claire for 52 minutes late in the evening.\",\"I talked to Olivia, Rylee, Claire for 52 minutes late in the evening.\"\n984,2010/04/19,\"I spent 32 talking to Eva, Avery, Layla, Olivia on various topics late in the evening.\",\"I spent 32 talking to Eva, Avery, Layla, Olivia on various topics late in the evening.\"\n985,2010/04/19,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n986,2010/04/19,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n987,2010/04/20,I did running on 2010/04/20.,I did running on 2010/04/20.\n988,2010/04/20,\"I had eggs, sausages, and bread for breakfast with Carter\",\"I had eggs, sausages, and bread for breakfast with Carter\"\n989,2010/04/20,\"I had lunch with Olivia, Rylee, Piper, Kinsley, Claire, Hazel, Avery, Nora, Layla. I ate a burger.\",\"I had lunch with Olivia, Rylee, Piper, Kinsley, Claire, Hazel, Avery, Nora, Layla. I ate a burger.\"\n990,2010/04/20,I had sushi for dinner with Carter,I had sushi for dinner with Carter\n991,2010/04/20,\"I spent 52 talking to Piper, Claire, Rylee, Nevaeh on various topics in the late afternoon.\",\"I spent 52 talking to Piper, Claire, Rylee, Nevaeh on various topics in the late afternoon.\"\n992,2010/04/20,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n993,2010/04/20,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n994,2010/04/21,I did hiking on 2010/04/21.,I did hiking on 2010/04/21.\n995,2010/04/21,\"I had eggs, sausages, and bread for breakfast with Kayden\",\"I had eggs, sausages, and bread for breakfast with Kayden\"\n996,2010/04/21,I ate pasta for lunch.,I ate pasta for lunch.\n997,2010/04/21,\"I had steak for dinner with Nevaeh, Kinsley, Nora, Piper, Avery, Layla, Eva, Hazel, Olivia, Claire, Piper\",\"I had steak for dinner with Nevaeh, Kinsley, Nora, Piper, Avery, Layla, Eva, Hazel, Olivia, Claire, Piper\"\n998,2010/04/21,I talked to Eva for 26 minutes during lunch hours.,I talked to Eva for 26 minutes during lunch hours.\n999,2010/04/21,\"I talked to Piper, Avery for 55 minutes in the early afternoon.\",\"I talked to Piper, Avery for 55 minutes in the early afternoon.\"\n1000,2010/04/21,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n1001,2010/04/21,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n1002,2010/04/22,\"I bought some clementines, blueberries, peaches, pears, mango juice, toothpaste online.\",\"I bought some clementines, blueberries, peaches, pears, mango juice, toothpaste online.\"\n1003,2010/04/22,I did HIIT on 2010/04/22.,I did HIIT on 2010/04/22.\n1004,2010/04/22,\"I had pancakes for breakfast with Andrew, Emily\",\"I had pancakes for breakfast with Andrew, Emily\"\n1005,2010/04/22,I prepare steak for lunch.,I prepare steak for lunch.\n1006,2010/04/22,I prepare indian food for dinner.,I prepare indian food for dinner.\n1007,2010/04/22,\"I spent 15 talking to Claire, Layla, Piper on various topics in the morning.\",\"I spent 15 talking to Claire, Layla, Piper on various topics in the morning.\"\n1008,2010/04/22,I spent 18 talking to Hazel on various topics in the early evening.,I spent 18 talking to Hazel on various topics in the early evening.\n1009,2010/04/22,I spent 24 talking to Eva on various topics in the morning.,I spent 24 talking to Eva on various topics in the morning.\n1010,2010/04/22,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n1011,2010/04/22,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n1012,2010/04/23,\"On 2010/04/23, I took Brook on a date to a restaurant\",\"On 2010/04/23, I took Brook on a date to a restaurant\"\n1013,2010/04/23,\"I bought some watermelons, soda, tea, conditioner, shampoo online.\",\"I bought some watermelons, soda, tea, conditioner, shampoo online.\"\n1014,2010/04/23,I did biking on 2010/04/23.,I did biking on 2010/04/23.\n1015,2010/04/23,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n1016,2010/04/23,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n1017,2010/04/23,I ate chinese food for dinner.,I ate chinese food for dinner.\n1018,2010/04/23,\"I talked to Lydia, Nora for 37 minutes during lunch hours.\",\"I talked to Lydia, Nora for 37 minutes during lunch hours.\"\n1019,2010/04/23,I talked to Piper for 46 minutes in the early evening.,I talked to Piper for 46 minutes in the early evening.\n1020,2010/04/23,\"I talked to Nevaeh, Kinsley, Avery, Rylee for 37 minutes in the morning.\",\"I talked to Nevaeh, Kinsley, Avery, Rylee for 37 minutes in the morning.\"\n1021,2010/04/23,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n1022,2010/04/23,I watched a documentary for 50 minutes on TV today.,I watched a documentary for 50 minutes on TV today.\n1023,2010/04/24,\"I spent time gardening on 2010/04/24 with Jackson, Avery, Willow.\",\"I spent time gardening on 2010/04/24 with Jackson, Avery, Willow.\"\n1024,2010/04/24,I did hiking on 2010/04/24.,I did hiking on 2010/04/24.\n1025,2010/04/24,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n1026,2010/04/24,\"I had pasta for lunch with Carter, Emily, Kayden\",\"I had pasta for lunch with Carter, Emily, Kayden\"\n1027,2010/04/24,\"I had tacos for dinner with Rylee, Layla, Piper, Eva, Claire, Olivia, Kinsley, Nevaeh, Lydia\",\"I had tacos for dinner with Rylee, Layla, Piper, Eva, Claire, Olivia, Kinsley, Nevaeh, Lydia\"\n1028,2010/04/24,\"I talked to Olivia, Hazel, Claire, Avery for 33 minutes in the early afternoon.\",\"I talked to Olivia, Hazel, Claire, Avery for 33 minutes in the early afternoon.\"\n1029,2010/04/24,\"I spent 36 talking to Layla, Nora on various topics in the early evening.\",\"I spent 36 talking to Layla, Nora on various topics in the early evening.\"\n1030,2010/04/24,\"I spent 18 talking to Eva, Piper, Lydia on various topics in the early afternoon.\",\"I spent 18 talking to Eva, Piper, Lydia on various topics in the early afternoon.\"\n1031,2010/04/24,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n1032,2010/04/24,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n1033,2010/04/25,I did weight lifting on 2010/04/25.,I did weight lifting on 2010/04/25.\n1034,2010/04/25,\"I had toast and cheese for breakfast with Willow, Avery, Benjamin, Jackson\",\"I had toast and cheese for breakfast with Willow, Avery, Benjamin, Jackson\"\n1035,2010/04/25,I ate steak for lunch.,I ate steak for lunch.\n1036,2010/04/25,\"I had dinner with Emily, Andrew, Carter. I ate indian food.\",\"I had dinner with Emily, Andrew, Carter. I ate indian food.\"\n1037,2010/04/25,\"I spent 35 talking to Olivia, Kinsley on various topics in the morning.\",\"I spent 35 talking to Olivia, Kinsley on various topics in the morning.\"\n1038,2010/04/25,\"I talked to Piper, Avery, Nevaeh, Claire for 30 minutes in the morning.\",\"I talked to Piper, Avery, Nevaeh, Claire for 30 minutes in the morning.\"\n1039,2010/04/25,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n1040,2010/04/25,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n1041,2010/04/26,I did weight lifting on 2010/04/26.,I did weight lifting on 2010/04/26.\n1042,2010/04/26,\"I had breakfast with Piper, Hazel, Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Hazel, Avery. I ate eggs, sausages, and bread.\"\n1043,2010/04/26,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n1044,2010/04/26,\"I had dinner with Willow, Benjamin. I ate fish and chips.\",\"I had dinner with Willow, Benjamin. I ate fish and chips.\"\n1045,2010/04/26,\"I spent 14 talking to Piper, Claire, Lydia on various topics in the early afternoon.\",\"I spent 14 talking to Piper, Claire, Lydia on various topics in the early afternoon.\"\n1046,2010/04/26,\"I talked to Lydia, Claire, Avery, Eva for 41 minutes in the late afternoon.\",\"I talked to Lydia, Claire, Avery, Eva for 41 minutes in the late afternoon.\"\n1047,2010/04/26,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n1048,2010/04/26,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n1049,2010/04/27,I did swimming on 2010/04/27.,I did swimming on 2010/04/27.\n1050,2010/04/27,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n1051,2010/04/27,\"I had lunch with Kayden, Carter. I ate indian food.\",\"I had lunch with Kayden, Carter. I ate indian food.\"\n1052,2010/04/27,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n1053,2010/04/27,\"I talked to Olivia, Piper, Claire, Rylee for 10 minutes late in the evening.\",\"I talked to Olivia, Piper, Claire, Rylee for 10 minutes late in the evening.\"\n1054,2010/04/27,\"I talked to Nevaeh, Piper, Eva for 22 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Eva for 22 minutes in the late afternoon.\"\n1055,2010/04/27,\"I spent 11 talking to Piper, Kinsley, Hazel on various topics in the late afternoon.\",\"I spent 11 talking to Piper, Kinsley, Hazel on various topics in the late afternoon.\"\n1056,2010/04/27,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n1057,2010/04/27,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n1058,2010/04/28,I went on a date with Audrey on 2010/04/28 at a coffee Shop,I went on a date with Audrey on 2010/04/28 at a coffee Shop\n1059,2010/04/28,I did HIIT on 2010/04/28.,I did HIIT on 2010/04/28.\n1060,2010/04/28,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n1061,2010/04/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n1062,2010/04/28,I ate sandwich for dinner.,I ate sandwich for dinner.\n1063,2010/04/28,\"I talked to Avery, Lydia, Kinsley, Nora for 34 minutes during lunch hours.\",\"I talked to Avery, Lydia, Kinsley, Nora for 34 minutes during lunch hours.\"\n1064,2010/04/28,\"I talked to Piper, Claire, Nora for 6 minutes during lunch hours.\",\"I talked to Piper, Claire, Nora for 6 minutes during lunch hours.\"\n1065,2010/04/28,I talked to Hazel for 18 minutes in the late afternoon.,I talked to Hazel for 18 minutes in the late afternoon.\n1066,2010/04/28,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n1067,2010/04/28,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n1068,2010/04/29,I really enjoyed yoga on 2010/04/29,I really enjoyed yoga on 2010/04/29\n1069,2010/04/29,\"I went grocery shopping with Carter. I bought some watermelons, guava, strawberries, orange juice, and body lotion, toothpaste, toothbrush, facial wash\",\"I went grocery shopping with Carter. I bought some watermelons, guava, strawberries, orange juice, and body lotion, toothpaste, toothbrush, facial wash\"\n1070,2010/04/29,I did biking on 2010/04/29.,I did biking on 2010/04/29.\n1071,2010/04/29,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n1072,2010/04/29,\"I had lunch with Piper, Kinsley, Nevaeh, Eva, Hazel, Olivia, Avery, Lydia. I ate steak.\",\"I had lunch with Piper, Kinsley, Nevaeh, Eva, Hazel, Olivia, Avery, Lydia. I ate steak.\"\n1073,2010/04/29,I ate a burger for dinner.,I ate a burger for dinner.\n1074,2010/04/29,\"I spent 55 talking to Eva, Hazel on various topics during lunch hours.\",\"I spent 55 talking to Eva, Hazel on various topics during lunch hours.\"\n1075,2010/04/29,\"I talked to Avery, Eva for 33 minutes in the late afternoon.\",\"I talked to Avery, Eva for 33 minutes in the late afternoon.\"\n1076,2010/04/29,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n1077,2010/04/29,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n1078,2010/04/30,I did biking on 2010/04/30.,I did biking on 2010/04/30.\n1079,2010/04/30,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n1080,2010/04/30,I ate tacos for lunch.,I ate tacos for lunch.\n1081,2010/04/30,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n1082,2010/04/30,\"I spent 8 talking to Hazel, Kinsley, Eva, Layla on various topics in the late afternoon.\",\"I spent 8 talking to Hazel, Kinsley, Eva, Layla on various topics in the late afternoon.\"\n1083,2010/04/30,\"I talked to Avery, Rylee for 5 minutes late in the evening.\",\"I talked to Avery, Rylee for 5 minutes late in the evening.\"\n1084,2010/04/30,I talked to Layla for 5 minutes late in the evening.,I talked to Layla for 5 minutes late in the evening.\n1085,2010/04/30,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n1086,2010/04/30,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n1087,2010/05/01,I did running on 2010/05/01.,I did running on 2010/05/01.\n1088,2010/05/01,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n1089,2010/05/01,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n1090,2010/05/01,\"I had steak for dinner with Lydia, Nevaeh, Eva\",\"I had steak for dinner with Lydia, Nevaeh, Eva\"\n1091,2010/05/01,I spent 6 talking to Lydia on various topics in the early evening.,I spent 6 talking to Lydia on various topics in the early evening.\n1092,2010/05/01,\"I talked to Piper, Olivia for 41 minutes in the early afternoon.\",\"I talked to Piper, Olivia for 41 minutes in the early afternoon.\"\n1093,2010/05/01,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n1094,2010/05/01,I spent 24 minutes watching news on TV today.,I spent 24 minutes watching news on TV today.\n1095,2010/05/02,I did hiking on 2010/05/02.,I did hiking on 2010/05/02.\n1096,2010/05/02,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n1097,2010/05/02,\"I had sandwich for lunch with Piper, Lydia, Hazel, Claire, Kinsley, Nevaeh\",\"I had sandwich for lunch with Piper, Lydia, Hazel, Claire, Kinsley, Nevaeh\"\n1098,2010/05/02,I prepare tacos for dinner.,I prepare tacos for dinner.\n1099,2010/05/02,\"I talked to Nevaeh, Avery, Rylee for 23 minutes late in the evening.\",\"I talked to Nevaeh, Avery, Rylee for 23 minutes late in the evening.\"\n1100,2010/05/02,\"I spent 51 talking to Rylee, Nevaeh, Hazel, Nora on various topics in the morning.\",\"I spent 51 talking to Rylee, Nevaeh, Hazel, Nora on various topics in the morning.\"\n1101,2010/05/02,I spent 37 talking to Avery on various topics late in the evening.,I spent 37 talking to Avery on various topics late in the evening.\n1102,2010/05/02,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n1103,2010/05/02,I watched a documentary for 48 minutes on TV today.,I watched a documentary for 48 minutes on TV today.\n1104,2010/05/03,\"On 2010/05/03, I took Cameron on a date to a park\",\"On 2010/05/03, I took Cameron on a date to a park\"\n1105,2010/05/03,I spent some time learning a language on 2010/05/03.,I spent some time learning a language on 2010/05/03.\n1106,2010/05/03,I did weight lifting on 2010/05/03.,I did weight lifting on 2010/05/03.\n1107,2010/05/03,\"I had oatmeal for breakfast with Emily, Carter, Kayden\",\"I had oatmeal for breakfast with Emily, Carter, Kayden\"\n1108,2010/05/03,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n1109,2010/05/03,\"I had indian food for dinner with Kayden, Emily, Carter\",\"I had indian food for dinner with Kayden, Emily, Carter\"\n1110,2010/05/03,\"I spent 10 talking to Eva, Piper, Rylee, Hazel on various topics in the late afternoon.\",\"I spent 10 talking to Eva, Piper, Rylee, Hazel on various topics in the late afternoon.\"\n1111,2010/05/03,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n1112,2010/05/03,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n1113,2010/05/04,I did hiking on 2010/05/04.,I did hiking on 2010/05/04.\n1114,2010/05/04,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n1115,2010/05/04,I ate sushi for lunch.,I ate sushi for lunch.\n1116,2010/05/04,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n1117,2010/05/04,\"I talked to Piper, Rylee for 27 minutes in the early evening.\",\"I talked to Piper, Rylee for 27 minutes in the early evening.\"\n1118,2010/05/04,\"I spent 23 talking to Piper, Rylee, Olivia on various topics during lunch hours.\",\"I spent 23 talking to Piper, Rylee, Olivia on various topics during lunch hours.\"\n1119,2010/05/04,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n1120,2010/05/04,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n1121,2010/05/05,I did running on 2010/05/05.,I did running on 2010/05/05.\n1122,2010/05/05,\"I had breakfast with Kinsley, Lydia, Rylee, Piper, Nevaeh, Nora, Piper, Hazel, Layla, Olivia, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Kinsley, Lydia, Rylee, Piper, Nevaeh, Nora, Piper, Hazel, Layla, Olivia, Avery. I ate peanut-butter-jam.\"\n1123,2010/05/05,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n1124,2010/05/05,\"I had a burger for dinner with Layla, Nevaeh, Avery, Lydia, Hazel, Claire, Rylee, Olivia, Piper, Eva, Piper, Nora\",\"I had a burger for dinner with Layla, Nevaeh, Avery, Lydia, Hazel, Claire, Rylee, Olivia, Piper, Eva, Piper, Nora\"\n1125,2010/05/05,\"I spent 20 talking to Hazel, Eva on various topics in the early evening.\",\"I spent 20 talking to Hazel, Eva on various topics in the early evening.\"\n1126,2010/05/05,\"I talked to Nevaeh, Layla, Piper, Eva for 46 minutes late in the evening.\",\"I talked to Nevaeh, Layla, Piper, Eva for 46 minutes late in the evening.\"\n1127,2010/05/05,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n1128,2010/05/05,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n1129,2010/05/06,I did HIIT on 2010/05/06.,I did HIIT on 2010/05/06.\n1130,2010/05/06,\"I had cereals for breakfast with Lydia, Layla, Olivia, Claire, Nora, Eva, Piper, Piper, Kinsley, Nevaeh, Hazel, Avery, Rylee\",\"I had cereals for breakfast with Lydia, Layla, Olivia, Claire, Nora, Eva, Piper, Piper, Kinsley, Nevaeh, Hazel, Avery, Rylee\"\n1131,2010/05/06,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n1132,2010/05/06,\"I had dinner with Emily, Carter. I ate sandwich.\",\"I had dinner with Emily, Carter. I ate sandwich.\"\n1133,2010/05/06,\"I talked to Avery, Piper, Lydia for 33 minutes during lunch hours.\",\"I talked to Avery, Piper, Lydia for 33 minutes during lunch hours.\"\n1134,2010/05/06,\"I talked to Piper, Rylee for 53 minutes in the early evening.\",\"I talked to Piper, Rylee for 53 minutes in the early evening.\"\n1135,2010/05/06,\"I talked to Nora, Rylee for 51 minutes in the early afternoon.\",\"I talked to Nora, Rylee for 51 minutes in the early afternoon.\"\n1136,2010/05/06,\"I talked to Olivia, Claire for 46 minutes in the morning.\",\"I talked to Olivia, Claire for 46 minutes in the morning.\"\n1137,2010/05/06,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n1138,2010/05/06,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n1139,2010/05/07,I spent some time yoga on 2010/05/07.,I spent some time yoga on 2010/05/07.\n1140,2010/05/07,I did HIIT on 2010/05/07.,I did HIIT on 2010/05/07.\n1141,2010/05/07,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n1142,2010/05/07,\"I had chinese food for lunch with Nora, Kinsley, Nevaeh, Olivia, Rylee, Avery\",\"I had chinese food for lunch with Nora, Kinsley, Nevaeh, Olivia, Rylee, Avery\"\n1143,2010/05/07,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n1144,2010/05/07,I spent 33 talking to Eva on various topics in the early afternoon.,I spent 33 talking to Eva on various topics in the early afternoon.\n1145,2010/05/07,\"I spent 27 talking to Avery, Nora, Eva on various topics in the early afternoon.\",\"I spent 27 talking to Avery, Nora, Eva on various topics in the early afternoon.\"\n1146,2010/05/07,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n1147,2010/05/07,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n1148,2010/05/08,I did HIIT on 2010/05/08.,I did HIIT on 2010/05/08.\n1149,2010/05/08,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n1150,2010/05/08,I prepare sushi for lunch.,I prepare sushi for lunch.\n1151,2010/05/08,I ate sushi for dinner.,I ate sushi for dinner.\n1152,2010/05/08,I spent 52 talking to Eva on various topics in the early afternoon.,I spent 52 talking to Eva on various topics in the early afternoon.\n1153,2010/05/08,\"I talked to Hazel, Nora, Piper for 41 minutes in the early afternoon.\",\"I talked to Hazel, Nora, Piper for 41 minutes in the early afternoon.\"\n1154,2010/05/08,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n1155,2010/05/08,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n1156,2010/05/09,I did running on 2010/05/09.,I did running on 2010/05/09.\n1157,2010/05/09,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n1158,2010/05/09,\"I had lunch with Kayden, Emily, Andrew. I ate tacos.\",\"I had lunch with Kayden, Emily, Andrew. I ate tacos.\"\n1159,2010/05/09,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n1160,2010/05/09,\"I spent 17 talking to Layla, Claire, Nora, Hazel on various topics during lunch hours.\",\"I spent 17 talking to Layla, Claire, Nora, Hazel on various topics during lunch hours.\"\n1161,2010/05/09,I spent 8 talking to Eva on various topics in the early afternoon.,I spent 8 talking to Eva on various topics in the early afternoon.\n1162,2010/05/09,\"I spent 16 talking to Rylee, Piper, Layla, Kinsley on various topics in the late afternoon.\",\"I spent 16 talking to Rylee, Piper, Layla, Kinsley on various topics in the late afternoon.\"\n1163,2010/05/09,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n1164,2010/05/09,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n1165,2010/05/10,\"I bought some mandarins, soda, toilet paper, mouth wash, toothpaste, conditioner from the grocery store. I saw Piper, Piper at the grocery store.\",\"I bought some mandarins, soda, toilet paper, mouth wash, toothpaste, conditioner from the grocery store. I saw Piper, Piper at the grocery store.\"\n1166,2010/05/10,I did weight lifting on 2010/05/10.,I did weight lifting on 2010/05/10.\n1167,2010/05/10,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n1168,2010/05/10,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n1169,2010/05/10,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n1170,2010/05/10,\"I talked to Hazel, Kinsley, Nora, Piper for 14 minutes in the early evening.\",\"I talked to Hazel, Kinsley, Nora, Piper for 14 minutes in the early evening.\"\n1171,2010/05/10,\"I talked to Hazel, Nora, Avery, Piper for 7 minutes in the early evening.\",\"I talked to Hazel, Nora, Avery, Piper for 7 minutes in the early evening.\"\n1172,2010/05/10,\"I spent 17 talking to Kinsley, Piper, Layla on various topics in the morning.\",\"I spent 17 talking to Kinsley, Piper, Layla on various topics in the morning.\"\n1173,2010/05/10,\"I spent 14 talking to Kinsley, Layla on various topics in the early evening.\",\"I spent 14 talking to Kinsley, Layla on various topics in the early evening.\"\n1174,2010/05/10,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n1175,2010/05/10,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n1176,2010/05/11,I did weight lifting on 2010/05/11.,I did weight lifting on 2010/05/11.\n1177,2010/05/11,\"I had breakfast with Emily, Kayden, Andrew, Carter. I ate oatmeal.\",\"I had breakfast with Emily, Kayden, Andrew, Carter. I ate oatmeal.\"\n1178,2010/05/11,I prepare indian food for lunch.,I prepare indian food for lunch.\n1179,2010/05/11,I had dinner. I ate steak.,I had dinner. I ate steak.\n1180,2010/05/11,\"I talked to Nevaeh, Hazel for 51 minutes in the early afternoon.\",\"I talked to Nevaeh, Hazel for 51 minutes in the early afternoon.\"\n1181,2010/05/11,I talked to Rylee for 41 minutes during lunch hours.,I talked to Rylee for 41 minutes during lunch hours.\n1182,2010/05/11,\"I spent 40 talking to Rylee, Piper, Olivia, Piper on various topics during lunch hours.\",\"I spent 40 talking to Rylee, Piper, Olivia, Piper on various topics during lunch hours.\"\n1183,2010/05/11,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n1184,2010/05/11,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n1185,2010/05/12,I did running on 2010/05/12.,I did running on 2010/05/12.\n1186,2010/05/12,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n1187,2010/05/12,I prepare tacos for lunch.,I prepare tacos for lunch.\n1188,2010/05/12,I prepare steak for dinner.,I prepare steak for dinner.\n1189,2010/05/12,\"I talked to Nora, Kinsley, Nevaeh for 10 minutes in the late afternoon.\",\"I talked to Nora, Kinsley, Nevaeh for 10 minutes in the late afternoon.\"\n1190,2010/05/12,\"I talked to Nora, Hazel for 40 minutes in the early afternoon.\",\"I talked to Nora, Hazel for 40 minutes in the early afternoon.\"\n1191,2010/05/12,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n1192,2010/05/12,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n1193,2010/05/13,I went on a date with Isla on 2010/05/13 at a coffee Shop,I went on a date with Isla on 2010/05/13 at a coffee Shop\n1194,2010/05/13,I did weight lifting on 2010/05/13.,I did weight lifting on 2010/05/13.\n1195,2010/05/13,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n1196,2010/05/13,I ate tacos for lunch.,I ate tacos for lunch.\n1197,2010/05/13,I prepare steak for dinner.,I prepare steak for dinner.\n1198,2010/05/13,\"I talked to Lydia, Nora for 28 minutes in the early afternoon.\",\"I talked to Lydia, Nora for 28 minutes in the early afternoon.\"\n1199,2010/05/13,I talked to Eva for 19 minutes in the late afternoon.,I talked to Eva for 19 minutes in the late afternoon.\n1200,2010/05/13,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n1201,2010/05/13,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n1202,2010/05/14,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n1203,2010/05/14,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n1204,2010/05/14,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n1205,2010/05/14,\"I talked to Layla, Nevaeh, Kinsley, Eva for 17 minutes late in the evening.\",\"I talked to Layla, Nevaeh, Kinsley, Eva for 17 minutes late in the evening.\"\n1206,2010/05/14,\"I talked to Hazel, Piper, Kinsley for 49 minutes in the early evening.\",\"I talked to Hazel, Piper, Kinsley for 49 minutes in the early evening.\"\n1207,2010/05/14,\"I spent 25 talking to Olivia, Hazel, Rylee on various topics in the late afternoon.\",\"I spent 25 talking to Olivia, Hazel, Rylee on various topics in the late afternoon.\"\n1208,2010/05/14,\"I talked to Rylee, Kinsley for 19 minutes in the early evening.\",\"I talked to Rylee, Kinsley for 19 minutes in the early evening.\"\n1209,2010/05/14,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n1210,2010/05/14,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n1211,2010/05/15,\"I went grocery shopping with Eva, Claire, Hazel. I bought some apricots, pears, apples, mandarins, soda, and toothpaste\",\"I went grocery shopping with Eva, Claire, Hazel. I bought some apricots, pears, apples, mandarins, soda, and toothpaste\"\n1212,2010/05/15,I did weight lifting on 2010/05/15.,I did weight lifting on 2010/05/15.\n1213,2010/05/15,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n1214,2010/05/15,I had lunch with Kayden. I ate sandwich.,I had lunch with Kayden. I ate sandwich.\n1215,2010/05/15,\"I had chinese food for dinner with Emily, Andrew, Kayden\",\"I had chinese food for dinner with Emily, Andrew, Kayden\"\n1216,2010/05/15,I talked to Avery for 29 minutes late in the evening.,I talked to Avery for 29 minutes late in the evening.\n1217,2010/05/15,\"I spent 38 talking to Hazel, Piper, Avery on various topics in the morning.\",\"I spent 38 talking to Hazel, Piper, Avery on various topics in the morning.\"\n1218,2010/05/15,\"I spent 20 talking to Piper, Eva on various topics during lunch hours.\",\"I spent 20 talking to Piper, Eva on various topics during lunch hours.\"\n1219,2010/05/15,\"I talked to Claire, Rylee for 34 minutes in the early evening.\",\"I talked to Claire, Rylee for 34 minutes in the early evening.\"\n1220,2010/05/15,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n1221,2010/05/15,I spent 48 minutes watching a documentary on TV today.,I spent 48 minutes watching a documentary on TV today.\n1222,2010/05/16,I spent time learning a language on 2010/05/16 with Nora.,I spent time learning a language on 2010/05/16 with Nora.\n1223,2010/05/16,I did running on 2010/05/16.,I did running on 2010/05/16.\n1224,2010/05/16,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n1225,2010/05/16,\"I had sushi for lunch with Piper, Avery, Lydia, Claire, Kinsley, Hazel\",\"I had sushi for lunch with Piper, Avery, Lydia, Claire, Kinsley, Hazel\"\n1226,2010/05/16,\"I had dinner with Willow, Jackson. I ate indian food.\",\"I had dinner with Willow, Jackson. I ate indian food.\"\n1227,2010/05/16,\"I talked to Piper, Avery, Claire for 9 minutes in the morning.\",\"I talked to Piper, Avery, Claire for 9 minutes in the morning.\"\n1228,2010/05/16,I spent 25 talking to Piper on various topics in the early afternoon.,I spent 25 talking to Piper on various topics in the early afternoon.\n1229,2010/05/16,\"I talked to Claire, Avery, Eva, Olivia for 13 minutes during lunch hours.\",\"I talked to Claire, Avery, Eva, Olivia for 13 minutes during lunch hours.\"\n1230,2010/05/16,\"I talked to Avery, Nora, Piper, Nevaeh for 37 minutes during lunch hours.\",\"I talked to Avery, Nora, Piper, Nevaeh for 37 minutes during lunch hours.\"\n1231,2010/05/16,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n1232,2010/05/16,I watched news for 13 minutes on TV today.,I watched news for 13 minutes on TV today.\n1233,2010/05/17,I did running on 2010/05/17.,I did running on 2010/05/17.\n1234,2010/05/17,\"I had breakfast with Nevaeh, Olivia, Eva, Piper, Layla, Claire, Avery, Nora. I ate eggs, sausages, and bread.\",\"I had breakfast with Nevaeh, Olivia, Eva, Piper, Layla, Claire, Avery, Nora. I ate eggs, sausages, and bread.\"\n1235,2010/05/17,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n1236,2010/05/17,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n1237,2010/05/17,\"I talked to Eva, Rylee for 27 minutes in the early afternoon.\",\"I talked to Eva, Rylee for 27 minutes in the early afternoon.\"\n1238,2010/05/17,\"I spent 8 talking to Layla, Lydia, Rylee, Kinsley on various topics late in the evening.\",\"I spent 8 talking to Layla, Lydia, Rylee, Kinsley on various topics late in the evening.\"\n1239,2010/05/17,\"I talked to Kinsley, Eva for 25 minutes during lunch hours.\",\"I talked to Kinsley, Eva for 25 minutes during lunch hours.\"\n1240,2010/05/17,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n1241,2010/05/17,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n1242,2010/05/18,I went on a date with Nolan on 2010/05/18 at a boba shop,I went on a date with Nolan on 2010/05/18 at a boba shop\n1243,2010/05/18,\"I spent time learning a language on 2010/05/18 with Andrew, Carter.\",\"I spent time learning a language on 2010/05/18 with Andrew, Carter.\"\n1244,2010/05/18,\"I went grocery shopping with Nevaeh. I bought some apples, strawberries, peaches, pineapples, milk, sports drinks, and body lotion, toothbrush, paper towel, shaving cream\",\"I went grocery shopping with Nevaeh. I bought some apples, strawberries, peaches, pineapples, milk, sports drinks, and body lotion, toothbrush, paper towel, shaving cream\"\n1245,2010/05/18,I did swimming on 2010/05/18.,I did swimming on 2010/05/18.\n1246,2010/05/18,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n1247,2010/05/18,I ate a burger for lunch.,I ate a burger for lunch.\n1248,2010/05/18,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n1249,2010/05/18,\"I spent 55 talking to Rylee, Avery, Nevaeh on various topics in the morning.\",\"I spent 55 talking to Rylee, Avery, Nevaeh on various topics in the morning.\"\n1250,2010/05/18,\"I talked to Hazel, Rylee, Kinsley, Olivia for 54 minutes in the morning.\",\"I talked to Hazel, Rylee, Kinsley, Olivia for 54 minutes in the morning.\"\n1251,2010/05/18,\"I talked to Piper, Claire, Layla for 16 minutes in the early evening.\",\"I talked to Piper, Claire, Layla for 16 minutes in the early evening.\"\n1252,2010/05/18,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n1253,2010/05/18,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n1254,2010/05/19,I did HIIT on 2010/05/19.,I did HIIT on 2010/05/19.\n1255,2010/05/19,\"I had breakfast with Kayden, Carter, Andrew. I ate cereals.\",\"I had breakfast with Kayden, Carter, Andrew. I ate cereals.\"\n1256,2010/05/19,\"I had lunch with Kayden, Carter, Andrew, Emily. I ate sandwich.\",\"I had lunch with Kayden, Carter, Andrew, Emily. I ate sandwich.\"\n1257,2010/05/19,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n1258,2010/05/19,\"I talked to Kinsley, Claire for 46 minutes late in the evening.\",\"I talked to Kinsley, Claire for 46 minutes late in the evening.\"\n1259,2010/05/19,I spent 43 talking to Lydia on various topics in the morning.,I spent 43 talking to Lydia on various topics in the morning.\n1260,2010/05/19,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n1261,2010/05/19,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n1262,2010/05/20,I did swimming on 2010/05/20.,I did swimming on 2010/05/20.\n1263,2010/05/20,\"I had oatmeal for breakfast with Piper, Claire, Lydia, Layla, Piper, Nora, Nevaeh, Eva, Rylee, Olivia, Kinsley, Hazel\",\"I had oatmeal for breakfast with Piper, Claire, Lydia, Layla, Piper, Nora, Nevaeh, Eva, Rylee, Olivia, Kinsley, Hazel\"\n1264,2010/05/20,\"I had tacos for lunch with Andrew, Kayden\",\"I had tacos for lunch with Andrew, Kayden\"\n1265,2010/05/20,\"I had a burger for dinner with Kayden, Andrew, Emily\",\"I had a burger for dinner with Kayden, Andrew, Emily\"\n1266,2010/05/20,\"I talked to Layla, Nora, Piper for 17 minutes in the early afternoon.\",\"I talked to Layla, Nora, Piper for 17 minutes in the early afternoon.\"\n1267,2010/05/20,\"I spent 40 talking to Avery, Rylee, Kinsley on various topics during lunch hours.\",\"I spent 40 talking to Avery, Rylee, Kinsley on various topics during lunch hours.\"\n1268,2010/05/20,\"I talked to Piper, Hazel, Lydia, Avery for 33 minutes in the morning.\",\"I talked to Piper, Hazel, Lydia, Avery for 33 minutes in the morning.\"\n1269,2010/05/20,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n1270,2010/05/20,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n1271,2010/05/21,I did weight lifting on 2010/05/21.,I did weight lifting on 2010/05/21.\n1272,2010/05/21,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1273,2010/05/21,\"I had sandwich for lunch with Hazel, Eva, Layla, Rylee, Nevaeh, Avery, Claire, Kinsley, Lydia\",\"I had sandwich for lunch with Hazel, Eva, Layla, Rylee, Nevaeh, Avery, Claire, Kinsley, Lydia\"\n1274,2010/05/21,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n1275,2010/05/21,I talked to Piper for 15 minutes late in the evening.,I talked to Piper for 15 minutes late in the evening.\n1276,2010/05/21,I spent 47 talking to Kinsley on various topics in the early afternoon.,I spent 47 talking to Kinsley on various topics in the early afternoon.\n1277,2010/05/21,\"I spent 47 talking to Piper, Lydia, Layla on various topics late in the evening.\",\"I spent 47 talking to Piper, Lydia, Layla on various topics late in the evening.\"\n1278,2010/05/21,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n1279,2010/05/21,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n1280,2010/05/22,I did swimming on 2010/05/22.,I did swimming on 2010/05/22.\n1281,2010/05/22,I ate cereals for breakfast.,I ate cereals for breakfast.\n1282,2010/05/22,I had indian food for lunch with Willow,I had indian food for lunch with Willow\n1283,2010/05/22,I ate sandwich for dinner.,I ate sandwich for dinner.\n1284,2010/05/22,I talked to Hazel for 24 minutes in the early afternoon.,I talked to Hazel for 24 minutes in the early afternoon.\n1285,2010/05/22,\"I talked to Piper, Nora, Avery for 19 minutes in the early evening.\",\"I talked to Piper, Nora, Avery for 19 minutes in the early evening.\"\n1286,2010/05/22,I spent 52 talking to Layla on various topics in the early afternoon.,I spent 52 talking to Layla on various topics in the early afternoon.\n1287,2010/05/22,\"I talked to Hazel, Eva, Piper for 26 minutes in the morning.\",\"I talked to Hazel, Eva, Piper for 26 minutes in the morning.\"\n1288,2010/05/22,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n1289,2010/05/22,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n1290,2010/05/23,I did running on 2010/05/23.,I did running on 2010/05/23.\n1291,2010/05/23,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n1292,2010/05/23,I ate tacos for lunch.,I ate tacos for lunch.\n1293,2010/05/23,I ate sandwich for dinner.,I ate sandwich for dinner.\n1294,2010/05/23,\"I talked to Hazel, Lydia, Nevaeh, Rylee for 11 minutes late in the evening.\",\"I talked to Hazel, Lydia, Nevaeh, Rylee for 11 minutes late in the evening.\"\n1295,2010/05/23,\"I spent 8 talking to Nevaeh, Eva, Layla on various topics during lunch hours.\",\"I spent 8 talking to Nevaeh, Eva, Layla on various topics during lunch hours.\"\n1296,2010/05/23,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n1297,2010/05/23,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n1298,2010/05/24,I went on a date with Luca on 2010/05/24 at a coffee Shop,I went on a date with Luca on 2010/05/24 at a coffee Shop\n1299,2010/05/24,I did HIIT on 2010/05/24.,I did HIIT on 2010/05/24.\n1300,2010/05/24,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1301,2010/05/24,I had lunch with Kayden. I ate fish and chips.,I had lunch with Kayden. I ate fish and chips.\n1302,2010/05/24,\"I had indian food for dinner with Andrew, Emily, Kayden, Carter\",\"I had indian food for dinner with Andrew, Emily, Kayden, Carter\"\n1303,2010/05/24,I spent 51 talking to Lydia on various topics in the late afternoon.,I spent 51 talking to Lydia on various topics in the late afternoon.\n1304,2010/05/24,I talked to Nora for 25 minutes in the morning.,I talked to Nora for 25 minutes in the morning.\n1305,2010/05/24,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n1306,2010/05/24,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n1307,2010/05/25,\"I went grocery shopping. I bought some raspberries, apples, orange juice, coffee, apple juice, and toothpaste, shaving cream, facial wash\",\"I went grocery shopping. I bought some raspberries, apples, orange juice, coffee, apple juice, and toothpaste, shaving cream, facial wash\"\n1308,2010/05/25,I did hiking on 2010/05/25.,I did hiking on 2010/05/25.\n1309,2010/05/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n1310,2010/05/25,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n1311,2010/05/25,\"I had chinese food for dinner with Kayden, Andrew, Carter, Emily\",\"I had chinese food for dinner with Kayden, Andrew, Carter, Emily\"\n1312,2010/05/25,\"I spent 36 talking to Piper, Avery, Kinsley on various topics in the morning.\",\"I spent 36 talking to Piper, Avery, Kinsley on various topics in the morning.\"\n1313,2010/05/25,I talked to Kinsley for 48 minutes late in the evening.,I talked to Kinsley for 48 minutes late in the evening.\n1314,2010/05/25,I spent 43 talking to Nora on various topics in the late afternoon.,I spent 43 talking to Nora on various topics in the late afternoon.\n1315,2010/05/25,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n1316,2010/05/25,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n1317,2010/05/26,I did HIIT on 2010/05/26.,I did HIIT on 2010/05/26.\n1318,2010/05/26,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n1319,2010/05/26,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n1320,2010/05/26,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n1321,2010/05/26,\"I talked to Hazel, Layla, Rylee for 8 minutes late in the evening.\",\"I talked to Hazel, Layla, Rylee for 8 minutes late in the evening.\"\n1322,2010/05/26,\"I spent 27 talking to Avery, Piper, Nevaeh, Kinsley on various topics in the early evening.\",\"I spent 27 talking to Avery, Piper, Nevaeh, Kinsley on various topics in the early evening.\"\n1323,2010/05/26,\"I spent 52 talking to Rylee, Kinsley, Lydia on various topics late in the evening.\",\"I spent 52 talking to Rylee, Kinsley, Lydia on various topics late in the evening.\"\n1324,2010/05/26,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n1325,2010/05/26,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n1326,2010/05/27,I spent time yoga on 2010/05/27 with Carter.,I spent time yoga on 2010/05/27 with Carter.\n1327,2010/05/27,I did hiking on 2010/05/27.,I did hiking on 2010/05/27.\n1328,2010/05/27,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1329,2010/05/27,\"I had lunch with Emily, Andrew, Carter, Kayden. I ate tacos.\",\"I had lunch with Emily, Andrew, Carter, Kayden. I ate tacos.\"\n1330,2010/05/27,\"I had dinner with Kayden, Andrew, Carter, Emily. I ate fish and chips.\",\"I had dinner with Kayden, Andrew, Carter, Emily. I ate fish and chips.\"\n1331,2010/05/27,\"I spent 32 talking to Avery, Piper, Nevaeh on various topics late in the evening.\",\"I spent 32 talking to Avery, Piper, Nevaeh on various topics late in the evening.\"\n1332,2010/05/27,\"I talked to Nora, Olivia, Claire, Layla for 41 minutes late in the evening.\",\"I talked to Nora, Olivia, Claire, Layla for 41 minutes late in the evening.\"\n1333,2010/05/27,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n1334,2010/05/27,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n1335,2010/05/28,I did weight lifting on 2010/05/28.,I did weight lifting on 2010/05/28.\n1336,2010/05/28,\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate cereals.\",\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate cereals.\"\n1337,2010/05/28,I prepare steak for lunch.,I prepare steak for lunch.\n1338,2010/05/28,I ate sandwich for dinner.,I ate sandwich for dinner.\n1339,2010/05/28,\"I spent 48 talking to Nora, Piper, Piper on various topics late in the evening.\",\"I spent 48 talking to Nora, Piper, Piper on various topics late in the evening.\"\n1340,2010/05/28,\"I talked to Layla, Avery, Rylee for 45 minutes in the early evening.\",\"I talked to Layla, Avery, Rylee for 45 minutes in the early evening.\"\n1341,2010/05/28,I talked to Piper for 22 minutes in the early evening.,I talked to Piper for 22 minutes in the early evening.\n1342,2010/05/28,I spent 47 talking to Olivia on various topics in the late afternoon.,I spent 47 talking to Olivia on various topics in the late afternoon.\n1343,2010/05/28,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n1344,2010/05/28,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n1345,2010/05/29,I did weight lifting on 2010/05/29.,I did weight lifting on 2010/05/29.\n1346,2010/05/29,I had oatmeal for breakfast with Carter,I had oatmeal for breakfast with Carter\n1347,2010/05/29,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n1348,2010/05/29,I prepare steak for dinner.,I prepare steak for dinner.\n1349,2010/05/29,\"I spent 38 talking to Lydia, Hazel, Piper, Nora on various topics in the early evening.\",\"I spent 38 talking to Lydia, Hazel, Piper, Nora on various topics in the early evening.\"\n1350,2010/05/29,\"I spent 20 talking to Piper, Nevaeh, Eva on various topics during lunch hours.\",\"I spent 20 talking to Piper, Nevaeh, Eva on various topics during lunch hours.\"\n1351,2010/05/29,\"I spent 8 talking to Nevaeh, Piper on various topics in the late afternoon.\",\"I spent 8 talking to Nevaeh, Piper on various topics in the late afternoon.\"\n1352,2010/05/29,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n1353,2010/05/29,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n1354,2010/05/30,\"I bought some blackberries, mineral water, mango juice, milk, tea, shaving cream, toothpaste, toilet paper, facial wash online.\",\"I bought some blackberries, mineral water, mango juice, milk, tea, shaving cream, toothpaste, toilet paper, facial wash online.\"\n1355,2010/05/30,I did hiking on 2010/05/30.,I did hiking on 2010/05/30.\n1356,2010/05/30,\"I had pancakes for breakfast with Carter, Emily, Kayden, Andrew\",\"I had pancakes for breakfast with Carter, Emily, Kayden, Andrew\"\n1357,2010/05/30,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n1358,2010/05/30,\"I had steak for dinner with Carter, Andrew, Emily\",\"I had steak for dinner with Carter, Andrew, Emily\"\n1359,2010/05/30,\"I talked to Layla, Rylee, Nora, Nevaeh for 50 minutes in the morning.\",\"I talked to Layla, Rylee, Nora, Nevaeh for 50 minutes in the morning.\"\n1360,2010/05/30,\"I talked to Layla, Piper, Eva, Claire for 24 minutes during lunch hours.\",\"I talked to Layla, Piper, Eva, Claire for 24 minutes during lunch hours.\"\n1361,2010/05/30,\"I spent 16 talking to Nora, Rylee on various topics in the morning.\",\"I spent 16 talking to Nora, Rylee on various topics in the morning.\"\n1362,2010/05/30,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n1363,2010/05/30,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n1364,2010/05/31,\"On 2010/05/31, I took Caroline on a date to a coffee Shop\",\"On 2010/05/31, I took Caroline on a date to a coffee Shop\"\n1365,2010/05/31,I did swimming on 2010/05/31.,I did swimming on 2010/05/31.\n1366,2010/05/31,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n1367,2010/05/31,\"I had lunch with Willow, Benjamin, Avery, Jackson. I ate a burger.\",\"I had lunch with Willow, Benjamin, Avery, Jackson. I ate a burger.\"\n1368,2010/05/31,I had indian food for dinner with Andrew,I had indian food for dinner with Andrew\n1369,2010/05/31,\"I talked to Eva, Hazel, Piper for 29 minutes in the early evening.\",\"I talked to Eva, Hazel, Piper for 29 minutes in the early evening.\"\n1370,2010/05/31,\"I talked to Hazel, Piper, Eva, Olivia for 8 minutes during lunch hours.\",\"I talked to Hazel, Piper, Eva, Olivia for 8 minutes during lunch hours.\"\n1371,2010/05/31,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n1372,2010/05/31,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n1373,2010/06/01,I spent some time yoga on 2010/06/01.,I spent some time yoga on 2010/06/01.\n1374,2010/06/01,I did weight lifting on 2010/06/01.,I did weight lifting on 2010/06/01.\n1375,2010/06/01,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n1376,2010/06/01,I ate sandwich for lunch.,I ate sandwich for lunch.\n1377,2010/06/01,\"I had dinner with Benjamin, Jackson. I ate tacos.\",\"I had dinner with Benjamin, Jackson. I ate tacos.\"\n1378,2010/06/01,\"I talked to Eva, Nevaeh for 14 minutes in the early afternoon.\",\"I talked to Eva, Nevaeh for 14 minutes in the early afternoon.\"\n1379,2010/06/01,\"I spent 48 talking to Hazel, Avery, Kinsley on various topics during lunch hours.\",\"I spent 48 talking to Hazel, Avery, Kinsley on various topics during lunch hours.\"\n1380,2010/06/01,\"I spent 32 talking to Layla, Piper, Rylee on various topics in the morning.\",\"I spent 32 talking to Layla, Piper, Rylee on various topics in the morning.\"\n1381,2010/06/01,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n1382,2010/06/01,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n1383,2010/06/02,I did hiking on 2010/06/02.,I did hiking on 2010/06/02.\n1384,2010/06/02,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1385,2010/06/02,I prepare tacos for lunch.,I prepare tacos for lunch.\n1386,2010/06/02,I prepare tacos for dinner.,I prepare tacos for dinner.\n1387,2010/06/02,I talked to Rylee for 34 minutes in the early evening.,I talked to Rylee for 34 minutes in the early evening.\n1388,2010/06/02,\"I spent 52 talking to Rylee, Nora, Eva, Olivia on various topics late in the evening.\",\"I spent 52 talking to Rylee, Nora, Eva, Olivia on various topics late in the evening.\"\n1389,2010/06/02,I spent 27 talking to Avery on various topics during lunch hours.,I spent 27 talking to Avery on various topics during lunch hours.\n1390,2010/06/02,\"I talked to Kinsley, Piper, Piper for 52 minutes in the early evening.\",\"I talked to Kinsley, Piper, Piper for 52 minutes in the early evening.\"\n1391,2010/06/02,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n1392,2010/06/02,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n1393,2010/06/03,I did biking on 2010/06/03.,I did biking on 2010/06/03.\n1394,2010/06/03,\"I had oatmeal for breakfast with Carter, Emily, Kayden, Andrew\",\"I had oatmeal for breakfast with Carter, Emily, Kayden, Andrew\"\n1395,2010/06/03,I had sandwich for lunch with Andrew,I had sandwich for lunch with Andrew\n1396,2010/06/03,\"I had indian food for dinner with Emily, Carter, Andrew, Kayden\",\"I had indian food for dinner with Emily, Carter, Andrew, Kayden\"\n1397,2010/06/03,\"I spent 49 talking to Piper, Nora, Layla, Avery on various topics in the early afternoon.\",\"I spent 49 talking to Piper, Nora, Layla, Avery on various topics in the early afternoon.\"\n1398,2010/06/03,I spent 49 talking to Piper on various topics in the early evening.,I spent 49 talking to Piper on various topics in the early evening.\n1399,2010/06/03,I talked to Kinsley for 33 minutes during lunch hours.,I talked to Kinsley for 33 minutes during lunch hours.\n1400,2010/06/03,\"I spent 19 talking to Eva, Kinsley, Olivia, Piper on various topics in the early evening.\",\"I spent 19 talking to Eva, Kinsley, Olivia, Piper on various topics in the early evening.\"\n1401,2010/06/03,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n1402,2010/06/03,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n1403,2010/06/04,I did weight lifting on 2010/06/04.,I did weight lifting on 2010/06/04.\n1404,2010/06/04,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n1405,2010/06/04,I ate indian food for lunch.,I ate indian food for lunch.\n1406,2010/06/04,I had dinner. I ate steak.,I had dinner. I ate steak.\n1407,2010/06/04,\"I spent 11 talking to Piper, Nora on various topics during lunch hours.\",\"I spent 11 talking to Piper, Nora on various topics during lunch hours.\"\n1408,2010/06/04,I talked to Nora for 50 minutes in the morning.,I talked to Nora for 50 minutes in the morning.\n1409,2010/06/04,\"I talked to Claire, Eva, Piper, Nora for 45 minutes in the late afternoon.\",\"I talked to Claire, Eva, Piper, Nora for 45 minutes in the late afternoon.\"\n1410,2010/06/04,\"I talked to Lydia, Piper, Kinsley for 7 minutes during lunch hours.\",\"I talked to Lydia, Piper, Kinsley for 7 minutes during lunch hours.\"\n1411,2010/06/04,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n1412,2010/06/04,I watched news for 28 minutes on TV today.,I watched news for 28 minutes on TV today.\n1413,2010/06/05,I spent time meditation on 2010/06/05 with Carter.,I spent time meditation on 2010/06/05 with Carter.\n1414,2010/06/05,I did weight lifting on 2010/06/05.,I did weight lifting on 2010/06/05.\n1415,2010/06/05,\"I had eggs, sausages, and bread for breakfast with Jackson, Benjamin, Willow\",\"I had eggs, sausages, and bread for breakfast with Jackson, Benjamin, Willow\"\n1416,2010/06/05,\"I had lunch with Jackson, Avery. I ate tacos.\",\"I had lunch with Jackson, Avery. I ate tacos.\"\n1417,2010/06/05,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n1418,2010/06/05,I spent 7 talking to Piper on various topics in the early afternoon.,I spent 7 talking to Piper on various topics in the early afternoon.\n1419,2010/06/05,I spent 33 talking to Nevaeh on various topics in the early afternoon.,I spent 33 talking to Nevaeh on various topics in the early afternoon.\n1420,2010/06/05,\"I spent 50 talking to Nora, Piper, Avery on various topics during lunch hours.\",\"I spent 50 talking to Nora, Piper, Avery on various topics during lunch hours.\"\n1421,2010/06/05,\"I spent 48 talking to Hazel, Kinsley, Avery on various topics during lunch hours.\",\"I spent 48 talking to Hazel, Kinsley, Avery on various topics during lunch hours.\"\n1422,2010/06/05,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n1423,2010/06/05,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n1424,2010/06/06,\"I bought some mandarins, peaches, tea, apple juice, toothpaste, mouthwash, body lotion, toilet paper online.\",\"I bought some mandarins, peaches, tea, apple juice, toothpaste, mouthwash, body lotion, toilet paper online.\"\n1425,2010/06/06,I did swimming on 2010/06/06.,I did swimming on 2010/06/06.\n1426,2010/06/06,\"I had peanut-butter-jam for breakfast with Carter, Andrew, Kayden\",\"I had peanut-butter-jam for breakfast with Carter, Andrew, Kayden\"\n1427,2010/06/06,\"I had pasta for lunch with Olivia, Hazel, Eva, Nevaeh, Lydia, Nora, Layla\",\"I had pasta for lunch with Olivia, Hazel, Eva, Nevaeh, Lydia, Nora, Layla\"\n1428,2010/06/06,\"I had sushi for dinner with Kinsley, Olivia, Nora, Avery, Piper, Claire, Nevaeh, Piper, Lydia, Rylee, Eva\",\"I had sushi for dinner with Kinsley, Olivia, Nora, Avery, Piper, Claire, Nevaeh, Piper, Lydia, Rylee, Eva\"\n1429,2010/06/06,\"I talked to Olivia, Layla for 49 minutes late in the evening.\",\"I talked to Olivia, Layla for 49 minutes late in the evening.\"\n1430,2010/06/06,\"I talked to Nora, Nevaeh for 54 minutes in the late afternoon.\",\"I talked to Nora, Nevaeh for 54 minutes in the late afternoon.\"\n1431,2010/06/06,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n1432,2010/06/06,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n1433,2010/06/07,I went on a date with Lily on 2010/06/07 at a restaurant,I went on a date with Lily on 2010/06/07 at a restaurant\n1434,2010/06/07,\"I bought some bananas, pineapples, mandarins, guava juice, facial wash online.\",\"I bought some bananas, pineapples, mandarins, guava juice, facial wash online.\"\n1435,2010/06/07,I did hiking on 2010/06/07.,I did hiking on 2010/06/07.\n1436,2010/06/07,\"I had breakfast with Carter, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Emily. I ate eggs, sausages, and bread.\"\n1437,2010/06/07,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n1438,2010/06/07,I had tacos for dinner with Kayden,I had tacos for dinner with Kayden\n1439,2010/06/07,\"I talked to Layla, Avery for 52 minutes late in the evening.\",\"I talked to Layla, Avery for 52 minutes late in the evening.\"\n1440,2010/06/07,\"I talked to Claire, Piper, Piper, Kinsley for 9 minutes in the morning.\",\"I talked to Claire, Piper, Piper, Kinsley for 9 minutes in the morning.\"\n1441,2010/06/07,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n1442,2010/06/07,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n1443,2010/06/08,I did hiking on 2010/06/08.,I did hiking on 2010/06/08.\n1444,2010/06/08,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n1445,2010/06/08,I ate a burger for lunch.,I ate a burger for lunch.\n1446,2010/06/08,I ate chinese food for dinner.,I ate chinese food for dinner.\n1447,2010/06/08,\"I talked to Kinsley, Lydia, Nora for 5 minutes late in the evening.\",\"I talked to Kinsley, Lydia, Nora for 5 minutes late in the evening.\"\n1448,2010/06/08,\"I spent 14 talking to Layla, Piper on various topics in the early evening.\",\"I spent 14 talking to Layla, Piper on various topics in the early evening.\"\n1449,2010/06/08,\"I spent 26 talking to Olivia, Claire, Kinsley on various topics in the early afternoon.\",\"I spent 26 talking to Olivia, Claire, Kinsley on various topics in the early afternoon.\"\n1450,2010/06/08,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n1451,2010/06/08,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n1452,2010/06/09,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n1453,2010/06/09,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n1454,2010/06/09,\"I had dinner with Piper, Eva, Nevaeh, Layla. I ate sushi.\",\"I had dinner with Piper, Eva, Nevaeh, Layla. I ate sushi.\"\n1455,2010/06/09,\"I spent 32 talking to Hazel, Claire on various topics late in the evening.\",\"I spent 32 talking to Hazel, Claire on various topics late in the evening.\"\n1456,2010/06/09,I spent 36 talking to Layla on various topics during lunch hours.,I spent 36 talking to Layla on various topics during lunch hours.\n1457,2010/06/09,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n1458,2010/06/09,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n1459,2010/06/10,I did HIIT on 2010/06/10.,I did HIIT on 2010/06/10.\n1460,2010/06/10,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n1461,2010/06/10,I ate tacos for lunch.,I ate tacos for lunch.\n1462,2010/06/10,\"I had dinner with Emily, Andrew, Carter, Kayden. I ate indian food.\",\"I had dinner with Emily, Andrew, Carter, Kayden. I ate indian food.\"\n1463,2010/06/10,\"I spent 13 talking to Rylee, Nora, Claire on various topics during lunch hours.\",\"I spent 13 talking to Rylee, Nora, Claire on various topics during lunch hours.\"\n1464,2010/06/10,\"I spent 10 talking to Olivia, Rylee, Eva, Claire on various topics during lunch hours.\",\"I spent 10 talking to Olivia, Rylee, Eva, Claire on various topics during lunch hours.\"\n1465,2010/06/10,\"I spent 55 talking to Olivia, Claire, Hazel on various topics in the morning.\",\"I spent 55 talking to Olivia, Claire, Hazel on various topics in the morning.\"\n1466,2010/06/10,I spent 33 talking to Piper on various topics late in the evening.,I spent 33 talking to Piper on various topics late in the evening.\n1467,2010/06/10,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n1468,2010/06/10,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n1469,2010/06/11,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n1470,2010/06/11,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n1471,2010/06/11,\"I had sandwich for dinner with Olivia, Rylee\",\"I had sandwich for dinner with Olivia, Rylee\"\n1472,2010/06/11,\"I spent 34 talking to Nora, Claire, Eva, Hazel on various topics in the morning.\",\"I spent 34 talking to Nora, Claire, Eva, Hazel on various topics in the morning.\"\n1473,2010/06/11,I spent 30 talking to Layla on various topics late in the evening.,I spent 30 talking to Layla on various topics late in the evening.\n1474,2010/06/11,\"I talked to Hazel, Avery, Nevaeh for 51 minutes during lunch hours.\",\"I talked to Hazel, Avery, Nevaeh for 51 minutes during lunch hours.\"\n1475,2010/06/11,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n1476,2010/06/11,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n1477,2010/06/12,I did weight lifting on 2010/06/12.,I did weight lifting on 2010/06/12.\n1478,2010/06/12,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n1479,2010/06/12,I ate indian food for lunch.,I ate indian food for lunch.\n1480,2010/06/12,\"I had dinner with Andrew, Emily, Carter, Kayden. I ate chinese food.\",\"I had dinner with Andrew, Emily, Carter, Kayden. I ate chinese food.\"\n1481,2010/06/12,\"I talked to Hazel, Nevaeh for 49 minutes in the late afternoon.\",\"I talked to Hazel, Nevaeh for 49 minutes in the late afternoon.\"\n1482,2010/06/12,\"I talked to Avery, Piper, Layla for 22 minutes during lunch hours.\",\"I talked to Avery, Piper, Layla for 22 minutes during lunch hours.\"\n1483,2010/06/12,\"I talked to Kinsley, Claire, Eva, Olivia for 9 minutes during lunch hours.\",\"I talked to Kinsley, Claire, Eva, Olivia for 9 minutes during lunch hours.\"\n1484,2010/06/12,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n1485,2010/06/12,I spent 30 minutes watching a movie on TV today.,I spent 30 minutes watching a movie on TV today.\n1486,2010/06/13,I did hiking on 2010/06/13.,I did hiking on 2010/06/13.\n1487,2010/06/13,\"I had breakfast with Piper, Kinsley, Lydia, Layla, Claire, Nora. I ate oatmeal.\",\"I had breakfast with Piper, Kinsley, Lydia, Layla, Claire, Nora. I ate oatmeal.\"\n1488,2010/06/13,I ate indian food for lunch.,I ate indian food for lunch.\n1489,2010/06/13,\"I had pasta for dinner with Emily, Kayden\",\"I had pasta for dinner with Emily, Kayden\"\n1490,2010/06/13,\"I talked to Piper, Layla for 5 minutes in the early afternoon.\",\"I talked to Piper, Layla for 5 minutes in the early afternoon.\"\n1491,2010/06/13,\"I talked to Nora, Piper, Kinsley, Eva for 11 minutes in the early afternoon.\",\"I talked to Nora, Piper, Kinsley, Eva for 11 minutes in the early afternoon.\"\n1492,2010/06/13,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n1493,2010/06/13,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n1494,2010/06/14,I did HIIT on 2010/06/14.,I did HIIT on 2010/06/14.\n1495,2010/06/14,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n1496,2010/06/14,\"I had sushi for lunch with Emily, Carter\",\"I had sushi for lunch with Emily, Carter\"\n1497,2010/06/14,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n1498,2010/06/14,\"I spent 52 talking to Rylee, Nevaeh on various topics in the early evening.\",\"I spent 52 talking to Rylee, Nevaeh on various topics in the early evening.\"\n1499,2010/06/14,I talked to Hazel for 8 minutes in the early afternoon.,I talked to Hazel for 8 minutes in the early afternoon.\n1500,2010/06/14,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n1501,2010/06/14,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n1502,2010/06/15,I went on a date with Gabriella on 2010/06/15 at a park,I went on a date with Gabriella on 2010/06/15 at a park\n1503,2010/06/15,I did swimming on 2010/06/15.,I did swimming on 2010/06/15.\n1504,2010/06/15,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n1505,2010/06/15,\"I had lunch with Olivia, Avery, Kinsley, Claire, Piper, Nevaeh, Eva, Piper, Hazel, Rylee, Layla. I ate sandwich.\",\"I had lunch with Olivia, Avery, Kinsley, Claire, Piper, Nevaeh, Eva, Piper, Hazel, Rylee, Layla. I ate sandwich.\"\n1506,2010/06/15,\"I had dinner with Rylee, Layla, Nevaeh, Eva, Claire, Olivia, Kinsley, Avery, Hazel. I ate sandwich.\",\"I had dinner with Rylee, Layla, Nevaeh, Eva, Claire, Olivia, Kinsley, Avery, Hazel. I ate sandwich.\"\n1507,2010/06/15,\"I spent 37 talking to Nevaeh, Eva, Lydia on various topics in the early evening.\",\"I spent 37 talking to Nevaeh, Eva, Lydia on various topics in the early evening.\"\n1508,2010/06/15,I talked to Eva for 26 minutes in the late afternoon.,I talked to Eva for 26 minutes in the late afternoon.\n1509,2010/06/15,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n1510,2010/06/15,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n1511,2010/06/16,I did running on 2010/06/16.,I did running on 2010/06/16.\n1512,2010/06/16,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n1513,2010/06/16,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n1514,2010/06/16,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n1515,2010/06/16,\"I spent 24 talking to Piper, Eva, Claire on various topics in the morning.\",\"I spent 24 talking to Piper, Eva, Claire on various topics in the morning.\"\n1516,2010/06/16,\"I talked to Lydia, Olivia, Claire for 46 minutes in the early evening.\",\"I talked to Lydia, Olivia, Claire for 46 minutes in the early evening.\"\n1517,2010/06/16,\"I spent 48 talking to Kinsley, Avery on various topics in the late afternoon.\",\"I spent 48 talking to Kinsley, Avery on various topics in the late afternoon.\"\n1518,2010/06/16,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n1519,2010/06/16,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n1520,2010/06/17,\"I spent time meditation on 2010/06/17 with Emily, Kayden.\",\"I spent time meditation on 2010/06/17 with Emily, Kayden.\"\n1521,2010/06/17,\"I bought some oranges, pears, mandarins, watermelons, sports drinks, mouth wash, conditioner online.\",\"I bought some oranges, pears, mandarins, watermelons, sports drinks, mouth wash, conditioner online.\"\n1522,2010/06/17,I did hiking on 2010/06/17.,I did hiking on 2010/06/17.\n1523,2010/06/17,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n1524,2010/06/17,I prepare sushi for lunch.,I prepare sushi for lunch.\n1525,2010/06/17,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n1526,2010/06/17,I spent 13 talking to Lydia on various topics during lunch hours.,I spent 13 talking to Lydia on various topics during lunch hours.\n1527,2010/06/17,\"I spent 54 talking to Piper, Nevaeh, Avery, Olivia on various topics in the early evening.\",\"I spent 54 talking to Piper, Nevaeh, Avery, Olivia on various topics in the early evening.\"\n1528,2010/06/17,\"I talked to Layla, Rylee, Piper for 8 minutes in the early afternoon.\",\"I talked to Layla, Rylee, Piper for 8 minutes in the early afternoon.\"\n1529,2010/06/17,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n1530,2010/06/17,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n1531,2010/06/18,\"On 2010/06/18, I took Lily on a date to a coffee Shop\",\"On 2010/06/18, I took Lily on a date to a coffee Shop\"\n1532,2010/06/18,\"I went grocery shopping with Avery, Lydia, Hazel. I bought some watermelons, strawberries, pineapples, mineral water, soda, sports drinks, and mouth wash\",\"I went grocery shopping with Avery, Lydia, Hazel. I bought some watermelons, strawberries, pineapples, mineral water, soda, sports drinks, and mouth wash\"\n1533,2010/06/18,\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew\",\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew\"\n1534,2010/06/18,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n1535,2010/06/18,I ate a burger for dinner.,I ate a burger for dinner.\n1536,2010/06/18,\"I talked to Olivia, Rylee, Claire, Kinsley for 37 minutes in the morning.\",\"I talked to Olivia, Rylee, Claire, Kinsley for 37 minutes in the morning.\"\n1537,2010/06/18,\"I spent 20 talking to Eva, Piper, Nevaeh on various topics in the morning.\",\"I spent 20 talking to Eva, Piper, Nevaeh on various topics in the morning.\"\n1538,2010/06/18,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n1539,2010/06/18,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n1540,2010/06/19,I did running on 2010/06/19.,I did running on 2010/06/19.\n1541,2010/06/19,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n1542,2010/06/19,\"I had lunch with Eva, Hazel, Olivia, Nevaeh, Lydia. I ate indian food.\",\"I had lunch with Eva, Hazel, Olivia, Nevaeh, Lydia. I ate indian food.\"\n1543,2010/06/19,\"I had dinner with Layla, Lydia, Eva, Piper, Kinsley, Rylee, Nora. I ate steak.\",\"I had dinner with Layla, Lydia, Eva, Piper, Kinsley, Rylee, Nora. I ate steak.\"\n1544,2010/06/19,\"I talked to Rylee, Claire, Hazel, Piper for 38 minutes during lunch hours.\",\"I talked to Rylee, Claire, Hazel, Piper for 38 minutes during lunch hours.\"\n1545,2010/06/19,I talked to Avery for 13 minutes in the morning.,I talked to Avery for 13 minutes in the morning.\n1546,2010/06/19,\"I spent 40 talking to Avery, Piper, Olivia, Claire on various topics in the morning.\",\"I spent 40 talking to Avery, Piper, Olivia, Claire on various topics in the morning.\"\n1547,2010/06/19,I talked to Avery for 40 minutes during lunch hours.,I talked to Avery for 40 minutes during lunch hours.\n1548,2010/06/19,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n1549,2010/06/19,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n1550,2010/06/20,I really enjoyed meditation on 2010/06/20,I really enjoyed meditation on 2010/06/20\n1551,2010/06/20,I did weight lifting on 2010/06/20.,I did weight lifting on 2010/06/20.\n1552,2010/06/20,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n1553,2010/06/20,\"I had lunch with Emily, Andrew, Kayden, Carter. I ate tacos.\",\"I had lunch with Emily, Andrew, Kayden, Carter. I ate tacos.\"\n1554,2010/06/20,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n1555,2010/06/20,\"I talked to Avery, Layla, Eva, Lydia for 20 minutes during lunch hours.\",\"I talked to Avery, Layla, Eva, Lydia for 20 minutes during lunch hours.\"\n1556,2010/06/20,I talked to Piper for 51 minutes in the late afternoon.,I talked to Piper for 51 minutes in the late afternoon.\n1557,2010/06/20,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n1558,2010/06/20,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n1559,2010/06/21,I did HIIT on 2010/06/21.,I did HIIT on 2010/06/21.\n1560,2010/06/21,I ate cereals for breakfast.,I ate cereals for breakfast.\n1561,2010/06/21,\"I had steak for lunch with Andrew, Kayden, Carter, Emily\",\"I had steak for lunch with Andrew, Kayden, Carter, Emily\"\n1562,2010/06/21,I ate sandwich for dinner.,I ate sandwich for dinner.\n1563,2010/06/21,I spent 29 talking to Avery on various topics in the early evening.,I spent 29 talking to Avery on various topics in the early evening.\n1564,2010/06/21,\"I talked to Nora, Claire for 23 minutes in the early evening.\",\"I talked to Nora, Claire for 23 minutes in the early evening.\"\n1565,2010/06/21,I spent 26 talking to Nora on various topics in the early evening.,I spent 26 talking to Nora on various topics in the early evening.\n1566,2010/06/21,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n1567,2010/06/21,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n1568,2010/06/22,I did swimming on 2010/06/22.,I did swimming on 2010/06/22.\n1569,2010/06/22,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n1570,2010/06/22,\"I had lunch with Avery, Willow, Benjamin, Jackson. I ate sandwich.\",\"I had lunch with Avery, Willow, Benjamin, Jackson. I ate sandwich.\"\n1571,2010/06/22,\"I had steak for dinner with Emily, Kayden\",\"I had steak for dinner with Emily, Kayden\"\n1572,2010/06/22,I spent 18 talking to Claire on various topics in the early evening.,I spent 18 talking to Claire on various topics in the early evening.\n1573,2010/06/22,\"I spent 29 talking to Kinsley, Nora, Piper, Hazel on various topics in the morning.\",\"I spent 29 talking to Kinsley, Nora, Piper, Hazel on various topics in the morning.\"\n1574,2010/06/22,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n1575,2010/06/22,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n1576,2010/06/23,I really enjoyed meditation on 2010/06/23,I really enjoyed meditation on 2010/06/23\n1577,2010/06/23,\"I bought some nectarines, watermelons, mandarins, orange juice, milk, chocolate milk, toilet paper, toothpaste, conditioner, shampoo online.\",\"I bought some nectarines, watermelons, mandarins, orange juice, milk, chocolate milk, toilet paper, toothpaste, conditioner, shampoo online.\"\n1578,2010/06/23,I did hiking on 2010/06/23.,I did hiking on 2010/06/23.\n1579,2010/06/23,\"I had breakfast with Benjamin, Willow, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Willow, Jackson. I ate peanut-butter-jam.\"\n1580,2010/06/23,I ate sushi for lunch.,I ate sushi for lunch.\n1581,2010/06/23,I prepare indian food for dinner.,I prepare indian food for dinner.\n1582,2010/06/23,\"I spent 47 talking to Avery, Claire on various topics in the early afternoon.\",\"I spent 47 talking to Avery, Claire on various topics in the early afternoon.\"\n1583,2010/06/23,\"I spent 41 talking to Olivia, Rylee, Nora, Layla on various topics in the early afternoon.\",\"I spent 41 talking to Olivia, Rylee, Nora, Layla on various topics in the early afternoon.\"\n1584,2010/06/23,\"I spent 38 talking to Claire, Lydia on various topics during lunch hours.\",\"I spent 38 talking to Claire, Lydia on various topics during lunch hours.\"\n1585,2010/06/23,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n1586,2010/06/23,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n1587,2010/06/24,I did running on 2010/06/24.,I did running on 2010/06/24.\n1588,2010/06/24,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n1589,2010/06/24,I prepare pasta for lunch.,I prepare pasta for lunch.\n1590,2010/06/24,I prepare sushi for dinner.,I prepare sushi for dinner.\n1591,2010/06/24,\"I talked to Claire, Nevaeh for 29 minutes during lunch hours.\",\"I talked to Claire, Nevaeh for 29 minutes during lunch hours.\"\n1592,2010/06/24,\"I talked to Nevaeh, Claire, Lydia for 33 minutes in the early evening.\",\"I talked to Nevaeh, Claire, Lydia for 33 minutes in the early evening.\"\n1593,2010/06/24,I talked to Nora for 30 minutes late in the evening.,I talked to Nora for 30 minutes late in the evening.\n1594,2010/06/24,I spent 24 talking to Piper on various topics in the early evening.,I spent 24 talking to Piper on various topics in the early evening.\n1595,2010/06/24,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n1596,2010/06/24,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n1597,2010/06/25,I did weight lifting on 2010/06/25.,I did weight lifting on 2010/06/25.\n1598,2010/06/25,\"I had cereals for breakfast with Benjamin, Jackson\",\"I had cereals for breakfast with Benjamin, Jackson\"\n1599,2010/06/25,I had lunch. I ate steak.,I had lunch. I ate steak.\n1600,2010/06/25,\"I had dinner with Layla, Nora, Hazel, Avery, Eva, Claire, Piper, Nevaeh. I ate sushi.\",\"I had dinner with Layla, Nora, Hazel, Avery, Eva, Claire, Piper, Nevaeh. I ate sushi.\"\n1601,2010/06/25,I spent 19 talking to Avery on various topics during lunch hours.,I spent 19 talking to Avery on various topics during lunch hours.\n1602,2010/06/25,\"I spent 42 talking to Eva, Nora, Kinsley on various topics in the early evening.\",\"I spent 42 talking to Eva, Nora, Kinsley on various topics in the early evening.\"\n1603,2010/06/25,\"I spent 12 talking to Avery, Piper on various topics during lunch hours.\",\"I spent 12 talking to Avery, Piper on various topics during lunch hours.\"\n1604,2010/06/25,I spent 46 talking to Avery on various topics during lunch hours.,I spent 46 talking to Avery on various topics during lunch hours.\n1605,2010/06/25,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n1606,2010/06/25,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n1607,2010/06/26,I spent some time gardening on 2010/06/26.,I spent some time gardening on 2010/06/26.\n1608,2010/06/26,I did weight lifting on 2010/06/26.,I did weight lifting on 2010/06/26.\n1609,2010/06/26,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n1610,2010/06/26,\"I had lunch with Emily, Andrew, Carter. I ate steak.\",\"I had lunch with Emily, Andrew, Carter. I ate steak.\"\n1611,2010/06/26,I ate a burger for dinner.,I ate a burger for dinner.\n1612,2010/06/26,\"I spent 6 talking to Piper, Avery, Nora on various topics late in the evening.\",\"I spent 6 talking to Piper, Avery, Nora on various topics late in the evening.\"\n1613,2010/06/26,I talked to Piper for 50 minutes in the early evening.,I talked to Piper for 50 minutes in the early evening.\n1614,2010/06/26,\"I talked to Layla, Rylee, Claire for 26 minutes in the morning.\",\"I talked to Layla, Rylee, Claire for 26 minutes in the morning.\"\n1615,2010/06/26,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n1616,2010/06/26,I spent 35 minutes watching a movie on TV today.,I spent 35 minutes watching a movie on TV today.\n1617,2010/06/27,\"I went grocery shopping. I bought some apples, blackberries, strawberries, pears, apple juice, sports drinks, orange juice, milk, and toilet paper\",\"I went grocery shopping. I bought some apples, blackberries, strawberries, pears, apple juice, sports drinks, orange juice, milk, and toilet paper\"\n1618,2010/06/27,I did hiking on 2010/06/27.,I did hiking on 2010/06/27.\n1619,2010/06/27,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n1620,2010/06/27,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n1621,2010/06/27,I ate indian food for dinner.,I ate indian food for dinner.\n1622,2010/06/27,\"I spent 9 talking to Piper, Piper, Eva on various topics in the early afternoon.\",\"I spent 9 talking to Piper, Piper, Eva on various topics in the early afternoon.\"\n1623,2010/06/27,\"I talked to Eva, Layla, Claire for 10 minutes during lunch hours.\",\"I talked to Eva, Layla, Claire for 10 minutes during lunch hours.\"\n1624,2010/06/27,\"I talked to Hazel, Eva, Nevaeh for 55 minutes in the early afternoon.\",\"I talked to Hazel, Eva, Nevaeh for 55 minutes in the early afternoon.\"\n1625,2010/06/27,\"I spent 16 talking to Piper, Rylee, Nora on various topics in the morning.\",\"I spent 16 talking to Piper, Rylee, Nora on various topics in the morning.\"\n1626,2010/06/27,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n1627,2010/06/27,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n1628,2010/06/28,\"I spent time working out on 2010/06/28 with Piper, Avery.\",\"I spent time working out on 2010/06/28 with Piper, Avery.\"\n1629,2010/06/28,\"I bought some oranges, cherres, watermelons, apple juice, guava juice, chocolate milk, mouth wash, facial wash, toothpaste, shampoo from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\",\"I bought some oranges, cherres, watermelons, apple juice, guava juice, chocolate milk, mouth wash, facial wash, toothpaste, shampoo from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\"\n1630,2010/06/28,I did hiking on 2010/06/28.,I did hiking on 2010/06/28.\n1631,2010/06/28,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n1632,2010/06/28,I ate a burger for lunch.,I ate a burger for lunch.\n1633,2010/06/28,\"I had dinner with Kayden, Andrew. I ate steak.\",\"I had dinner with Kayden, Andrew. I ate steak.\"\n1634,2010/06/28,\"I talked to Claire, Kinsley, Olivia, Avery for 15 minutes in the morning.\",\"I talked to Claire, Kinsley, Olivia, Avery for 15 minutes in the morning.\"\n1635,2010/06/28,\"I talked to Olivia, Layla, Eva, Claire for 21 minutes in the late afternoon.\",\"I talked to Olivia, Layla, Eva, Claire for 21 minutes in the late afternoon.\"\n1636,2010/06/28,\"I spent 35 talking to Lydia, Nora, Rylee on various topics in the morning.\",\"I spent 35 talking to Lydia, Nora, Rylee on various topics in the morning.\"\n1637,2010/06/28,\"I talked to Kinsley, Nevaeh, Olivia, Layla for 31 minutes during lunch hours.\",\"I talked to Kinsley, Nevaeh, Olivia, Layla for 31 minutes during lunch hours.\"\n1638,2010/06/28,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n1639,2010/06/28,I spent 8 minutes watching a movie on TV today.,I spent 8 minutes watching a movie on TV today.\n1640,2010/06/29,I did weight lifting on 2010/06/29.,I did weight lifting on 2010/06/29.\n1641,2010/06/29,\"I had pancakes for breakfast with Nevaeh, Rylee, Olivia\",\"I had pancakes for breakfast with Nevaeh, Rylee, Olivia\"\n1642,2010/06/29,\"I had lunch with Andrew, Kayden. I ate pasta.\",\"I had lunch with Andrew, Kayden. I ate pasta.\"\n1643,2010/06/29,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n1644,2010/06/29,\"I spent 42 talking to Rylee, Hazel on various topics during lunch hours.\",\"I spent 42 talking to Rylee, Hazel on various topics during lunch hours.\"\n1645,2010/06/29,\"I talked to Kinsley, Hazel, Layla for 5 minutes late in the evening.\",\"I talked to Kinsley, Hazel, Layla for 5 minutes late in the evening.\"\n1646,2010/06/29,\"I spent 7 talking to Eva, Rylee on various topics in the early evening.\",\"I spent 7 talking to Eva, Rylee on various topics in the early evening.\"\n1647,2010/06/29,\"I spent 55 talking to Piper, Nevaeh, Claire, Rylee on various topics in the late afternoon.\",\"I spent 55 talking to Piper, Nevaeh, Claire, Rylee on various topics in the late afternoon.\"\n1648,2010/06/29,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n1649,2010/06/29,I spent 27 minutes watching a movie on TV today.,I spent 27 minutes watching a movie on TV today.\n1650,2010/06/30,I did running on 2010/06/30.,I did running on 2010/06/30.\n1651,2010/06/30,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n1652,2010/06/30,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n1653,2010/06/30,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n1654,2010/06/30,I spent 55 talking to Eva on various topics in the morning.,I spent 55 talking to Eva on various topics in the morning.\n1655,2010/06/30,\"I spent 32 talking to Nevaeh, Lydia, Kinsley on various topics during lunch hours.\",\"I spent 32 talking to Nevaeh, Lydia, Kinsley on various topics during lunch hours.\"\n1656,2010/06/30,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n1657,2010/06/30,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n1658,2010/07/01,I did hiking on 2010/07/01.,I did hiking on 2010/07/01.\n1659,2010/07/01,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n1660,2010/07/01,\"I had lunch with Jackson, Willow. I ate sandwich.\",\"I had lunch with Jackson, Willow. I ate sandwich.\"\n1661,2010/07/01,I prepare tacos for dinner.,I prepare tacos for dinner.\n1662,2010/07/01,\"I spent 45 talking to Claire, Eva on various topics in the late afternoon.\",\"I spent 45 talking to Claire, Eva on various topics in the late afternoon.\"\n1663,2010/07/01,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n1664,2010/07/01,I watched news for 51 minutes on TV today.,I watched news for 51 minutes on TV today.\n1665,2010/07/02,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n1666,2010/07/02,\"I had lunch with Lydia, Piper, Eva, Kinsley, Avery, Olivia, Nora, Rylee, Hazel. I ate sandwich.\",\"I had lunch with Lydia, Piper, Eva, Kinsley, Avery, Olivia, Nora, Rylee, Hazel. I ate sandwich.\"\n1667,2010/07/02,\"I had sandwich for dinner with Olivia, Piper, Eva\",\"I had sandwich for dinner with Olivia, Piper, Eva\"\n1668,2010/07/02,I spent 30 talking to Layla on various topics late in the evening.,I spent 30 talking to Layla on various topics late in the evening.\n1669,2010/07/02,\"I talked to Olivia, Kinsley, Claire for 12 minutes in the early afternoon.\",\"I talked to Olivia, Kinsley, Claire for 12 minutes in the early afternoon.\"\n1670,2010/07/02,\"I spent 26 talking to Piper, Lydia on various topics late in the evening.\",\"I spent 26 talking to Piper, Lydia on various topics late in the evening.\"\n1671,2010/07/02,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n1672,2010/07/02,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n1673,2010/07/03,I went on a date with Daniel on 2010/07/03 at a boba shop,I went on a date with Daniel on 2010/07/03 at a boba shop\n1674,2010/07/03,I did HIIT on 2010/07/03.,I did HIIT on 2010/07/03.\n1675,2010/07/03,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n1676,2010/07/03,I had pasta for lunch with Kayden,I had pasta for lunch with Kayden\n1677,2010/07/03,I ate chinese food for dinner.,I ate chinese food for dinner.\n1678,2010/07/03,\"I spent 48 talking to Nevaeh, Eva on various topics during lunch hours.\",\"I spent 48 talking to Nevaeh, Eva on various topics during lunch hours.\"\n1679,2010/07/03,I spent 22 talking to Kinsley on various topics during lunch hours.,I spent 22 talking to Kinsley on various topics during lunch hours.\n1680,2010/07/03,\"I talked to Claire, Rylee for 11 minutes in the early afternoon.\",\"I talked to Claire, Rylee for 11 minutes in the early afternoon.\"\n1681,2010/07/03,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n1682,2010/07/03,I spent 49 minutes watching a documentary on TV today.,I spent 49 minutes watching a documentary on TV today.\n1683,2010/07/04,I did biking on 2010/07/04.,I did biking on 2010/07/04.\n1684,2010/07/04,\"I had cereals for breakfast with Emily, Kayden, Andrew, Carter\",\"I had cereals for breakfast with Emily, Kayden, Andrew, Carter\"\n1685,2010/07/04,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n1686,2010/07/04,\"I had dinner with Carter, Andrew, Emily, Kayden. I ate fish and chips.\",\"I had dinner with Carter, Andrew, Emily, Kayden. I ate fish and chips.\"\n1687,2010/07/04,I talked to Kinsley for 52 minutes in the late afternoon.,I talked to Kinsley for 52 minutes in the late afternoon.\n1688,2010/07/04,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n1689,2010/07/04,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n1690,2010/07/05,I did running on 2010/07/05.,I did running on 2010/07/05.\n1691,2010/07/05,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n1692,2010/07/05,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n1693,2010/07/05,\"I had dinner with Rylee, Kinsley, Olivia, Piper, Hazel, Nora, Piper, Lydia, Nevaeh, Eva, Avery. I ate sushi.\",\"I had dinner with Rylee, Kinsley, Olivia, Piper, Hazel, Nora, Piper, Lydia, Nevaeh, Eva, Avery. I ate sushi.\"\n1694,2010/07/05,\"I talked to Claire, Nevaeh for 14 minutes in the early afternoon.\",\"I talked to Claire, Nevaeh for 14 minutes in the early afternoon.\"\n1695,2010/07/05,\"I talked to Hazel, Nora, Layla for 47 minutes in the early evening.\",\"I talked to Hazel, Nora, Layla for 47 minutes in the early evening.\"\n1696,2010/07/05,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n1697,2010/07/05,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n1698,2010/07/06,I really enjoyed yoga on 2010/07/06,I really enjoyed yoga on 2010/07/06\n1699,2010/07/06,I did swimming on 2010/07/06.,I did swimming on 2010/07/06.\n1700,2010/07/06,\"I had breakfast with Andrew, Kayden. I ate oatmeal.\",\"I had breakfast with Andrew, Kayden. I ate oatmeal.\"\n1701,2010/07/06,I prepare tacos for lunch.,I prepare tacos for lunch.\n1702,2010/07/06,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n1703,2010/07/06,\"I spent 25 talking to Kinsley, Layla, Claire on various topics during lunch hours.\",\"I spent 25 talking to Kinsley, Layla, Claire on various topics during lunch hours.\"\n1704,2010/07/06,\"I talked to Kinsley, Claire for 19 minutes in the early afternoon.\",\"I talked to Kinsley, Claire for 19 minutes in the early afternoon.\"\n1705,2010/07/06,\"I spent 23 talking to Olivia, Piper, Piper on various topics late in the evening.\",\"I spent 23 talking to Olivia, Piper, Piper on various topics late in the evening.\"\n1706,2010/07/06,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n1707,2010/07/06,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n1708,2010/07/07,I went on a date with Leilani on 2010/07/07 at a restaurant,I went on a date with Leilani on 2010/07/07 at a restaurant\n1709,2010/07/07,I did biking on 2010/07/07.,I did biking on 2010/07/07.\n1710,2010/07/07,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n1711,2010/07/07,I had pasta for lunch with Kayden,I had pasta for lunch with Kayden\n1712,2010/07/07,\"I had sandwich for dinner with Layla, Piper, Claire, Olivia, Kinsley, Rylee, Hazel, Lydia, Eva, Nora, Avery\",\"I had sandwich for dinner with Layla, Piper, Claire, Olivia, Kinsley, Rylee, Hazel, Lydia, Eva, Nora, Avery\"\n1713,2010/07/07,\"I spent 43 talking to Nevaeh, Eva, Piper on various topics in the late afternoon.\",\"I spent 43 talking to Nevaeh, Eva, Piper on various topics in the late afternoon.\"\n1714,2010/07/07,\"I spent 43 talking to Layla, Piper, Rylee, Nora on various topics late in the evening.\",\"I spent 43 talking to Layla, Piper, Rylee, Nora on various topics late in the evening.\"\n1715,2010/07/07,\"I talked to Avery, Olivia, Piper for 37 minutes in the morning.\",\"I talked to Avery, Olivia, Piper for 37 minutes in the morning.\"\n1716,2010/07/07,I talked to Layla for 24 minutes in the early evening.,I talked to Layla for 24 minutes in the early evening.\n1717,2010/07/07,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n1718,2010/07/07,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n1719,2010/07/08,\"I bought some watermelons, peaches, mineral water, milk, soda, conditioner online.\",\"I bought some watermelons, peaches, mineral water, milk, soda, conditioner online.\"\n1720,2010/07/08,I did HIIT on 2010/07/08.,I did HIIT on 2010/07/08.\n1721,2010/07/08,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n1722,2010/07/08,\"I had a burger for lunch with Lydia, Rylee, Avery, Piper, Claire, Olivia, Nora, Nevaeh, Eva\",\"I had a burger for lunch with Lydia, Rylee, Avery, Piper, Claire, Olivia, Nora, Nevaeh, Eva\"\n1723,2010/07/08,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n1724,2010/07/08,\"I spent 42 talking to Eva, Hazel, Rylee, Nora on various topics in the late afternoon.\",\"I spent 42 talking to Eva, Hazel, Rylee, Nora on various topics in the late afternoon.\"\n1725,2010/07/08,I spent 10 talking to Hazel on various topics late in the evening.,I spent 10 talking to Hazel on various topics late in the evening.\n1726,2010/07/08,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n1727,2010/07/08,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n1728,2010/07/09,\"I went grocery shopping with Kayden, Andrew, Emily. I bought some strawberries, watermelons, mineral water, chocolate milk, orange juice, milk, and body lotion, toilet paper, shampoo, conditioner\",\"I went grocery shopping with Kayden, Andrew, Emily. I bought some strawberries, watermelons, mineral water, chocolate milk, orange juice, milk, and body lotion, toilet paper, shampoo, conditioner\"\n1729,2010/07/09,I did hiking on 2010/07/09.,I did hiking on 2010/07/09.\n1730,2010/07/09,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1731,2010/07/09,I ate a burger for lunch.,I ate a burger for lunch.\n1732,2010/07/09,\"I had pasta for dinner with Lydia, Rylee, Nora, Hazel, Piper, Eva, Kinsley, Layla, Olivia, Nevaeh, Piper\",\"I had pasta for dinner with Lydia, Rylee, Nora, Hazel, Piper, Eva, Kinsley, Layla, Olivia, Nevaeh, Piper\"\n1733,2010/07/09,\"I spent 34 talking to Nevaeh, Eva, Piper on various topics late in the evening.\",\"I spent 34 talking to Nevaeh, Eva, Piper on various topics late in the evening.\"\n1734,2010/07/09,\"I talked to Avery, Lydia, Layla, Claire for 33 minutes in the morning.\",\"I talked to Avery, Lydia, Layla, Claire for 33 minutes in the morning.\"\n1735,2010/07/09,I spent 16 talking to Layla on various topics in the late afternoon.,I spent 16 talking to Layla on various topics in the late afternoon.\n1736,2010/07/09,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n1737,2010/07/09,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n1738,2010/07/10,\"On 2010/07/10, I took Mason on a date to a restaurant\",\"On 2010/07/10, I took Mason on a date to a restaurant\"\n1739,2010/07/10,I did hiking on 2010/07/10.,I did hiking on 2010/07/10.\n1740,2010/07/10,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n1741,2010/07/10,\"I had lunch with Emily, Andrew, Kayden, Carter. I ate a burger.\",\"I had lunch with Emily, Andrew, Kayden, Carter. I ate a burger.\"\n1742,2010/07/10,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n1743,2010/07/10,\"I talked to Claire, Avery, Kinsley for 50 minutes in the morning.\",\"I talked to Claire, Avery, Kinsley for 50 minutes in the morning.\"\n1744,2010/07/10,\"I spent 44 talking to Nora, Lydia on various topics in the early evening.\",\"I spent 44 talking to Nora, Lydia on various topics in the early evening.\"\n1745,2010/07/10,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n1746,2010/07/10,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n1747,2010/07/11,I did running on 2010/07/11.,I did running on 2010/07/11.\n1748,2010/07/11,\"I had cereals for breakfast with Emily, Kayden\",\"I had cereals for breakfast with Emily, Kayden\"\n1749,2010/07/11,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n1750,2010/07/11,\"I had dinner with Carter, Emily, Kayden. I ate fish and chips.\",\"I had dinner with Carter, Emily, Kayden. I ate fish and chips.\"\n1751,2010/07/11,\"I spent 31 talking to Eva, Hazel, Avery on various topics in the early evening.\",\"I spent 31 talking to Eva, Hazel, Avery on various topics in the early evening.\"\n1752,2010/07/11,\"I spent 18 talking to Avery, Hazel on various topics late in the evening.\",\"I spent 18 talking to Avery, Hazel on various topics late in the evening.\"\n1753,2010/07/11,\"I talked to Lydia, Olivia, Nora for 15 minutes in the late afternoon.\",\"I talked to Lydia, Olivia, Nora for 15 minutes in the late afternoon.\"\n1754,2010/07/11,\"I spent 39 talking to Eva, Piper on various topics in the late afternoon.\",\"I spent 39 talking to Eva, Piper on various topics in the late afternoon.\"\n1755,2010/07/11,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n1756,2010/07/11,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n1757,2010/07/12,\"I bought some nectarines, peaches, chocolate milk, facial wash, mouth wash, shaving cream online.\",\"I bought some nectarines, peaches, chocolate milk, facial wash, mouth wash, shaving cream online.\"\n1758,2010/07/12,I did swimming on 2010/07/12.,I did swimming on 2010/07/12.\n1759,2010/07/12,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1760,2010/07/12,I had pasta for lunch with Emily,I had pasta for lunch with Emily\n1761,2010/07/12,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n1762,2010/07/12,\"I spent 14 talking to Layla, Avery, Piper on various topics during lunch hours.\",\"I spent 14 talking to Layla, Avery, Piper on various topics during lunch hours.\"\n1763,2010/07/12,\"I talked to Layla, Rylee, Olivia, Nora for 50 minutes in the morning.\",\"I talked to Layla, Rylee, Olivia, Nora for 50 minutes in the morning.\"\n1764,2010/07/12,\"I spent 34 talking to Layla, Kinsley on various topics in the early afternoon.\",\"I spent 34 talking to Layla, Kinsley on various topics in the early afternoon.\"\n1765,2010/07/12,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n1766,2010/07/12,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n1767,2010/07/13,I did HIIT on 2010/07/13.,I did HIIT on 2010/07/13.\n1768,2010/07/13,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n1769,2010/07/13,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n1770,2010/07/13,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n1771,2010/07/13,\"I spent 42 talking to Claire, Nevaeh on various topics in the morning.\",\"I spent 42 talking to Claire, Nevaeh on various topics in the morning.\"\n1772,2010/07/13,I spent 23 talking to Eva on various topics during lunch hours.,I spent 23 talking to Eva on various topics during lunch hours.\n1773,2010/07/13,\"I spent 41 talking to Lydia, Rylee, Hazel, Kinsley on various topics in the late afternoon.\",\"I spent 41 talking to Lydia, Rylee, Hazel, Kinsley on various topics in the late afternoon.\"\n1774,2010/07/13,\"I spent 35 talking to Lydia, Nevaeh, Olivia on various topics late in the evening.\",\"I spent 35 talking to Lydia, Nevaeh, Olivia on various topics late in the evening.\"\n1775,2010/07/13,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n1776,2010/07/13,I watched a tv series for 5 minutes on TV today.,I watched a tv series for 5 minutes on TV today.\n1777,2010/07/14,I went on a date with Madison on 2010/07/14 at a boba shop,I went on a date with Madison on 2010/07/14 at a boba shop\n1778,2010/07/14,I did weight lifting on 2010/07/14.,I did weight lifting on 2010/07/14.\n1779,2010/07/14,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n1780,2010/07/14,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n1781,2010/07/14,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n1782,2010/07/14,\"I spent 40 talking to Avery, Layla, Hazel on various topics in the late afternoon.\",\"I spent 40 talking to Avery, Layla, Hazel on various topics in the late afternoon.\"\n1783,2010/07/14,\"I spent 36 talking to Claire, Eva, Hazel, Nevaeh on various topics in the morning.\",\"I spent 36 talking to Claire, Eva, Hazel, Nevaeh on various topics in the morning.\"\n1784,2010/07/14,\"I spent 36 talking to Piper, Kinsley, Claire on various topics in the early afternoon.\",\"I spent 36 talking to Piper, Kinsley, Claire on various topics in the early afternoon.\"\n1785,2010/07/14,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n1786,2010/07/14,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n1787,2010/07/15,I did swimming on 2010/07/15.,I did swimming on 2010/07/15.\n1788,2010/07/15,\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate toast and cheese.\",\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate toast and cheese.\"\n1789,2010/07/15,\"I had lunch with Benjamin, Willow, Jackson, Avery. I ate sandwich.\",\"I had lunch with Benjamin, Willow, Jackson, Avery. I ate sandwich.\"\n1790,2010/07/15,\"I had dinner with Emily, Carter, Andrew, Kayden. I ate fish and chips.\",\"I had dinner with Emily, Carter, Andrew, Kayden. I ate fish and chips.\"\n1791,2010/07/15,I talked to Piper for 40 minutes in the late afternoon.,I talked to Piper for 40 minutes in the late afternoon.\n1792,2010/07/15,\"I talked to Rylee, Olivia, Kinsley for 31 minutes in the late afternoon.\",\"I talked to Rylee, Olivia, Kinsley for 31 minutes in the late afternoon.\"\n1793,2010/07/15,\"I spent 22 talking to Kinsley, Piper, Rylee, Piper on various topics in the early evening.\",\"I spent 22 talking to Kinsley, Piper, Rylee, Piper on various topics in the early evening.\"\n1794,2010/07/15,\"I talked to Lydia, Piper for 55 minutes in the morning.\",\"I talked to Lydia, Piper for 55 minutes in the morning.\"\n1795,2010/07/15,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n1796,2010/07/15,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n1797,2010/07/16,my parents for their and I went for an annual physical checkup at the hospital on 2010/07/16.,my parents for their and I went for an annual physical checkup at the hospital on 2010/07/16.\n1798,2010/07/16,I did running on 2010/07/16.,I did running on 2010/07/16.\n1799,2010/07/16,\"I had eggs, sausages, and bread for breakfast with Lydia, Piper, Olivia, Rylee, Avery, Nevaeh, Hazel, Layla, Kinsley, Nora, Claire, Eva\",\"I had eggs, sausages, and bread for breakfast with Lydia, Piper, Olivia, Rylee, Avery, Nevaeh, Hazel, Layla, Kinsley, Nora, Claire, Eva\"\n1800,2010/07/16,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n1801,2010/07/16,\"I had dinner with Rylee, Layla, Nora, Lydia, Eva, Piper, Avery, Kinsley, Olivia, Piper, Hazel, Claire, Nevaeh. I ate indian food.\",\"I had dinner with Rylee, Layla, Nora, Lydia, Eva, Piper, Avery, Kinsley, Olivia, Piper, Hazel, Claire, Nevaeh. I ate indian food.\"\n1802,2010/07/16,\"I spent 27 talking to Piper, Olivia, Avery, Nora on various topics in the late afternoon.\",\"I spent 27 talking to Piper, Olivia, Avery, Nora on various topics in the late afternoon.\"\n1803,2010/07/16,I talked to Piper for 24 minutes during lunch hours.,I talked to Piper for 24 minutes during lunch hours.\n1804,2010/07/16,\"I spent 45 talking to Layla, Nevaeh on various topics in the early afternoon.\",\"I spent 45 talking to Layla, Nevaeh on various topics in the early afternoon.\"\n1805,2010/07/16,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n1806,2010/07/16,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n1807,2010/07/17,I went on a date with Henry on 2010/07/17 at a restaurant,I went on a date with Henry on 2010/07/17 at a restaurant\n1808,2010/07/17,I did swimming on 2010/07/17.,I did swimming on 2010/07/17.\n1809,2010/07/17,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n1810,2010/07/17,I prepare pasta for lunch.,I prepare pasta for lunch.\n1811,2010/07/17,I had dinner. I ate steak.,I had dinner. I ate steak.\n1812,2010/07/17,\"I spent 16 talking to Kinsley, Olivia on various topics in the early afternoon.\",\"I spent 16 talking to Kinsley, Olivia on various topics in the early afternoon.\"\n1813,2010/07/17,\"I spent 14 talking to Avery, Claire, Kinsley, Layla on various topics in the early evening.\",\"I spent 14 talking to Avery, Claire, Kinsley, Layla on various topics in the early evening.\"\n1814,2010/07/17,\"I spent 8 talking to Kinsley, Rylee, Hazel, Piper on various topics in the morning.\",\"I spent 8 talking to Kinsley, Rylee, Hazel, Piper on various topics in the morning.\"\n1815,2010/07/17,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n1816,2010/07/17,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n1817,2010/07/18,I did biking on 2010/07/18.,I did biking on 2010/07/18.\n1818,2010/07/18,\"I had breakfast with Nora, Olivia, Avery, Piper, Claire, Hazel, Rylee, Layla, Eva, Kinsley, Piper, Lydia, Nevaeh. I ate peanut-butter-jam.\",\"I had breakfast with Nora, Olivia, Avery, Piper, Claire, Hazel, Rylee, Layla, Eva, Kinsley, Piper, Lydia, Nevaeh. I ate peanut-butter-jam.\"\n1819,2010/07/18,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n1820,2010/07/18,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n1821,2010/07/18,\"I spent 54 talking to Olivia, Lydia on various topics in the morning.\",\"I spent 54 talking to Olivia, Lydia on various topics in the morning.\"\n1822,2010/07/18,\"I spent 9 talking to Olivia, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 9 talking to Olivia, Nevaeh, Piper on various topics in the early afternoon.\"\n1823,2010/07/18,\"I talked to Rylee, Kinsley, Claire, Avery for 30 minutes in the morning.\",\"I talked to Rylee, Kinsley, Claire, Avery for 30 minutes in the morning.\"\n1824,2010/07/18,\"I talked to Lydia, Layla, Eva for 50 minutes in the early afternoon.\",\"I talked to Lydia, Layla, Eva for 50 minutes in the early afternoon.\"\n1825,2010/07/18,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n1826,2010/07/18,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n1827,2010/07/19,I went on a date with Jaxon on 2010/07/19 at a boba shop,I went on a date with Jaxon on 2010/07/19 at a boba shop\n1828,2010/07/19,I spent some time working out on 2010/07/19.,I spent some time working out on 2010/07/19.\n1829,2010/07/19,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n1830,2010/07/19,\"I had chinese food for lunch with Emily, Kayden\",\"I had chinese food for lunch with Emily, Kayden\"\n1831,2010/07/19,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n1832,2010/07/19,\"I talked to Piper, Rylee for 42 minutes late in the evening.\",\"I talked to Piper, Rylee for 42 minutes late in the evening.\"\n1833,2010/07/19,\"I talked to Layla, Olivia, Kinsley, Piper for 24 minutes in the early evening.\",\"I talked to Layla, Olivia, Kinsley, Piper for 24 minutes in the early evening.\"\n1834,2010/07/19,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n1835,2010/07/19,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n1836,2010/07/20,\"I went grocery shopping with Willow, Jackson, Avery, Benjamin. I bought some strawberries, pears, apples, apple juice, chocolate milk, guava juice, mineral water, and body lotion, conditioner, shampoo\",\"I went grocery shopping with Willow, Jackson, Avery, Benjamin. I bought some strawberries, pears, apples, apple juice, chocolate milk, guava juice, mineral water, and body lotion, conditioner, shampoo\"\n1837,2010/07/20,I did running on 2010/07/20.,I did running on 2010/07/20.\n1838,2010/07/20,\"I had breakfast with Lydia, Nora, Claire, Kinsley, Avery, Eva, Piper, Hazel, Piper. I ate toast and cheese.\",\"I had breakfast with Lydia, Nora, Claire, Kinsley, Avery, Eva, Piper, Hazel, Piper. I ate toast and cheese.\"\n1839,2010/07/20,\"I had steak for lunch with Kayden, Carter, Andrew\",\"I had steak for lunch with Kayden, Carter, Andrew\"\n1840,2010/07/20,I had dinner. I ate steak.,I had dinner. I ate steak.\n1841,2010/07/20,I spent 24 talking to Nora on various topics in the early afternoon.,I spent 24 talking to Nora on various topics in the early afternoon.\n1842,2010/07/20,\"I spent 24 talking to Claire, Piper, Nevaeh on various topics during lunch hours.\",\"I spent 24 talking to Claire, Piper, Nevaeh on various topics during lunch hours.\"\n1843,2010/07/20,\"I spent 32 talking to Hazel, Eva on various topics in the morning.\",\"I spent 32 talking to Hazel, Eva on various topics in the morning.\"\n1844,2010/07/20,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n1845,2010/07/20,I watched news for 28 minutes on TV today.,I watched news for 28 minutes on TV today.\n1846,2010/07/21,I did running on 2010/07/21.,I did running on 2010/07/21.\n1847,2010/07/21,\"I had peanut-butter-jam for breakfast with Jackson, Benjamin, Willow, Avery\",\"I had peanut-butter-jam for breakfast with Jackson, Benjamin, Willow, Avery\"\n1848,2010/07/21,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n1849,2010/07/21,I had steak for dinner with Avery,I had steak for dinner with Avery\n1850,2010/07/21,\"I talked to Nora, Avery, Nevaeh for 15 minutes in the late afternoon.\",\"I talked to Nora, Avery, Nevaeh for 15 minutes in the late afternoon.\"\n1851,2010/07/21,I talked to Claire for 51 minutes in the late afternoon.,I talked to Claire for 51 minutes in the late afternoon.\n1852,2010/07/21,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n1853,2010/07/21,I spent 27 minutes watching a movie on TV today.,I spent 27 minutes watching a movie on TV today.\n1854,2010/07/22,I did hiking on 2010/07/22.,I did hiking on 2010/07/22.\n1855,2010/07/22,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n1856,2010/07/22,I had lunch. I ate steak.,I had lunch. I ate steak.\n1857,2010/07/22,\"I had a burger for dinner with Andrew, Kayden, Carter\",\"I had a burger for dinner with Andrew, Kayden, Carter\"\n1858,2010/07/22,\"I talked to Piper, Nevaeh, Piper for 39 minutes in the early evening.\",\"I talked to Piper, Nevaeh, Piper for 39 minutes in the early evening.\"\n1859,2010/07/22,I spent 46 talking to Hazel on various topics in the early afternoon.,I spent 46 talking to Hazel on various topics in the early afternoon.\n1860,2010/07/22,\"I spent 5 talking to Lydia, Piper, Hazel on various topics during lunch hours.\",\"I spent 5 talking to Lydia, Piper, Hazel on various topics during lunch hours.\"\n1861,2010/07/22,I spent 7 talking to Piper on various topics in the early evening.,I spent 7 talking to Piper on various topics in the early evening.\n1862,2010/07/22,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n1863,2010/07/22,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n1864,2010/07/23,\"I went grocery shopping with Andrew, Kayden. I bought some strawberries, pears, watermelons, pineapple juice, mango juice, chocolate milk, and body lotion\",\"I went grocery shopping with Andrew, Kayden. I bought some strawberries, pears, watermelons, pineapple juice, mango juice, chocolate milk, and body lotion\"\n1865,2010/07/23,I did biking on 2010/07/23.,I did biking on 2010/07/23.\n1866,2010/07/23,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n1867,2010/07/23,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n1868,2010/07/23,I ate tacos for dinner.,I ate tacos for dinner.\n1869,2010/07/23,\"I talked to Lydia, Piper for 55 minutes in the early afternoon.\",\"I talked to Lydia, Piper for 55 minutes in the early afternoon.\"\n1870,2010/07/23,\"I talked to Nora, Claire, Olivia, Kinsley for 41 minutes in the morning.\",\"I talked to Nora, Claire, Olivia, Kinsley for 41 minutes in the morning.\"\n1871,2010/07/23,\"I talked to Rylee, Kinsley, Avery for 53 minutes in the early evening.\",\"I talked to Rylee, Kinsley, Avery for 53 minutes in the early evening.\"\n1872,2010/07/23,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n1873,2010/07/23,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n1874,2010/07/24,I did hiking on 2010/07/24.,I did hiking on 2010/07/24.\n1875,2010/07/24,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n1876,2010/07/24,\"I had lunch with Nora, Kinsley, Piper, Hazel, Nevaeh, Eva. I ate a burger.\",\"I had lunch with Nora, Kinsley, Piper, Hazel, Nevaeh, Eva. I ate a burger.\"\n1877,2010/07/24,I ate sushi for dinner.,I ate sushi for dinner.\n1878,2010/07/24,\"I spent 26 talking to Kinsley, Avery on various topics in the late afternoon.\",\"I spent 26 talking to Kinsley, Avery on various topics in the late afternoon.\"\n1879,2010/07/24,\"I spent 6 talking to Lydia, Kinsley, Eva on various topics in the morning.\",\"I spent 6 talking to Lydia, Kinsley, Eva on various topics in the morning.\"\n1880,2010/07/24,\"I spent 42 talking to Olivia, Eva, Claire, Hazel on various topics in the early evening.\",\"I spent 42 talking to Olivia, Eva, Claire, Hazel on various topics in the early evening.\"\n1881,2010/07/24,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n1882,2010/07/24,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n1883,2010/07/25,I spent some time working out on 2010/07/25.,I spent some time working out on 2010/07/25.\n1884,2010/07/25,I did running on 2010/07/25.,I did running on 2010/07/25.\n1885,2010/07/25,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n1886,2010/07/25,\"I had lunch with Andrew, Carter, Emily. I ate sushi.\",\"I had lunch with Andrew, Carter, Emily. I ate sushi.\"\n1887,2010/07/25,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n1888,2010/07/25,I spent 10 talking to Kinsley on various topics in the morning.,I spent 10 talking to Kinsley on various topics in the morning.\n1889,2010/07/25,I talked to Lydia for 43 minutes late in the evening.,I talked to Lydia for 43 minutes late in the evening.\n1890,2010/07/25,\"I talked to Layla, Rylee, Kinsley for 27 minutes in the late afternoon.\",\"I talked to Layla, Rylee, Kinsley for 27 minutes in the late afternoon.\"\n1891,2010/07/25,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n1892,2010/07/25,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n1893,2010/07/26,I did biking on 2010/07/26.,I did biking on 2010/07/26.\n1894,2010/07/26,I had breakfast with Kayden. I ate cereals.,I had breakfast with Kayden. I ate cereals.\n1895,2010/07/26,I ate sushi for lunch.,I ate sushi for lunch.\n1896,2010/07/26,I had dinner. I ate steak.,I had dinner. I ate steak.\n1897,2010/07/26,\"I spent 33 talking to Hazel, Lydia, Avery on various topics late in the evening.\",\"I spent 33 talking to Hazel, Lydia, Avery on various topics late in the evening.\"\n1898,2010/07/26,\"I spent 53 talking to Eva, Piper on various topics during lunch hours.\",\"I spent 53 talking to Eva, Piper on various topics during lunch hours.\"\n1899,2010/07/26,\"I spent 24 talking to Nevaeh, Piper, Piper on various topics in the early afternoon.\",\"I spent 24 talking to Nevaeh, Piper, Piper on various topics in the early afternoon.\"\n1900,2010/07/26,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n1901,2010/07/26,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n1902,2010/07/27,\"On 2010/07/27, I took Layla on a date to a restaurant\",\"On 2010/07/27, I took Layla on a date to a restaurant\"\n1903,2010/07/27,\"I spent time yoga on 2010/07/27 with Kayden, Andrew.\",\"I spent time yoga on 2010/07/27 with Kayden, Andrew.\"\n1904,2010/07/27,\"I went grocery shopping with Carter, Andrew, Emily. I bought some blueberries, raspberries, oranges, mandarins, chocolate milk, guava juice, mineral water, milk, and mouth wash, toothbrush, shampoo\",\"I went grocery shopping with Carter, Andrew, Emily. I bought some blueberries, raspberries, oranges, mandarins, chocolate milk, guava juice, mineral water, milk, and mouth wash, toothbrush, shampoo\"\n1905,2010/07/27,I did running on 2010/07/27.,I did running on 2010/07/27.\n1906,2010/07/27,\"I had breakfast with Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter. I ate eggs, sausages, and bread.\"\n1907,2010/07/27,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n1908,2010/07/27,I ate steak for dinner.,I ate steak for dinner.\n1909,2010/07/27,\"I spent 50 talking to Kinsley, Rylee on various topics in the late afternoon.\",\"I spent 50 talking to Kinsley, Rylee on various topics in the late afternoon.\"\n1910,2010/07/27,\"I spent 36 talking to Piper, Nevaeh, Lydia on various topics in the late afternoon.\",\"I spent 36 talking to Piper, Nevaeh, Lydia on various topics in the late afternoon.\"\n1911,2010/07/27,\"I spent 44 talking to Claire, Rylee on various topics during lunch hours.\",\"I spent 44 talking to Claire, Rylee on various topics during lunch hours.\"\n1912,2010/07/27,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n1913,2010/07/27,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n1914,2010/07/28,I did weight lifting on 2010/07/28.,I did weight lifting on 2010/07/28.\n1915,2010/07/28,\"I had peanut-butter-jam for breakfast with Andrew, Carter\",\"I had peanut-butter-jam for breakfast with Andrew, Carter\"\n1916,2010/07/28,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n1917,2010/07/28,\"I had dinner with Piper, Avery, Layla, Lydia, Rylee. I ate chinese food.\",\"I had dinner with Piper, Avery, Layla, Lydia, Rylee. I ate chinese food.\"\n1918,2010/07/28,I talked to Rylee for 28 minutes in the early evening.,I talked to Rylee for 28 minutes in the early evening.\n1919,2010/07/28,I talked to Avery for 41 minutes in the early evening.,I talked to Avery for 41 minutes in the early evening.\n1920,2010/07/28,\"I talked to Olivia, Hazel for 53 minutes in the early afternoon.\",\"I talked to Olivia, Hazel for 53 minutes in the early afternoon.\"\n1921,2010/07/28,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n1922,2010/07/28,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n1923,2010/07/29,I did hiking on 2010/07/29.,I did hiking on 2010/07/29.\n1924,2010/07/29,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n1925,2010/07/29,I prepare steak for lunch.,I prepare steak for lunch.\n1926,2010/07/29,I had fish and chips for dinner with Jackson,I had fish and chips for dinner with Jackson\n1927,2010/07/29,I talked to Olivia for 12 minutes in the early afternoon.,I talked to Olivia for 12 minutes in the early afternoon.\n1928,2010/07/29,I talked to Nora for 49 minutes late in the evening.,I talked to Nora for 49 minutes late in the evening.\n1929,2010/07/29,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n1930,2010/07/29,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n1931,2010/07/30,I spent some time learning a language on 2010/07/30.,I spent some time learning a language on 2010/07/30.\n1932,2010/07/30,\"I bought some blueberries, cherres, mangos, guava juice, soda, facial wash, toothpaste, toilet paper from the grocery store. I saw Kayden, Carter at the grocery store.\",\"I bought some blueberries, cherres, mangos, guava juice, soda, facial wash, toothpaste, toilet paper from the grocery store. I saw Kayden, Carter at the grocery store.\"\n1933,2010/07/30,I did HIIT on 2010/07/30.,I did HIIT on 2010/07/30.\n1934,2010/07/30,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1935,2010/07/30,\"I had fish and chips for lunch with Piper, Kinsley, Hazel, Rylee, Lydia, Nevaeh, Claire, Eva, Nora, Olivia, Layla, Piper, Avery\",\"I had fish and chips for lunch with Piper, Kinsley, Hazel, Rylee, Lydia, Nevaeh, Claire, Eva, Nora, Olivia, Layla, Piper, Avery\"\n1936,2010/07/30,I ate chinese food for dinner.,I ate chinese food for dinner.\n1937,2010/07/30,\"I talked to Layla, Claire, Rylee for 42 minutes during lunch hours.\",\"I talked to Layla, Claire, Rylee for 42 minutes during lunch hours.\"\n1938,2010/07/30,\"I talked to Lydia, Layla for 42 minutes in the early evening.\",\"I talked to Lydia, Layla for 42 minutes in the early evening.\"\n1939,2010/07/30,I talked to Kinsley for 5 minutes late in the evening.,I talked to Kinsley for 5 minutes late in the evening.\n1940,2010/07/30,\"I talked to Olivia, Layla, Hazel, Piper for 8 minutes in the early evening.\",\"I talked to Olivia, Layla, Hazel, Piper for 8 minutes in the early evening.\"\n1941,2010/07/30,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n1942,2010/07/30,I watched news for 13 minutes on TV today.,I watched news for 13 minutes on TV today.\n1943,2010/07/31,I did weight lifting on 2010/07/31.,I did weight lifting on 2010/07/31.\n1944,2010/07/31,\"I had peanut-butter-jam for breakfast with Kinsley, Avery, Olivia, Piper, Rylee, Piper, Eva, Nora, Layla, Nevaeh, Claire\",\"I had peanut-butter-jam for breakfast with Kinsley, Avery, Olivia, Piper, Rylee, Piper, Eva, Nora, Layla, Nevaeh, Claire\"\n1945,2010/07/31,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n1946,2010/07/31,\"I had dinner with Nora, Lydia, Olivia, Eva, Hazel, Piper, Layla, Nevaeh, Rylee, Claire, Piper, Avery, Kinsley. I ate a burger.\",\"I had dinner with Nora, Lydia, Olivia, Eva, Hazel, Piper, Layla, Nevaeh, Rylee, Claire, Piper, Avery, Kinsley. I ate a burger.\"\n1947,2010/07/31,\"I talked to Layla, Rylee, Nora, Claire for 44 minutes during lunch hours.\",\"I talked to Layla, Rylee, Nora, Claire for 44 minutes during lunch hours.\"\n1948,2010/07/31,\"I spent 13 talking to Kinsley, Avery, Nora on various topics in the late afternoon.\",\"I spent 13 talking to Kinsley, Avery, Nora on various topics in the late afternoon.\"\n1949,2010/07/31,\"I talked to Claire, Olivia for 48 minutes in the early afternoon.\",\"I talked to Claire, Olivia for 48 minutes in the early afternoon.\"\n1950,2010/07/31,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n1951,2010/07/31,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n1952,2010/08/01,\"On 2010/08/01, I took Carson on a date to a coffee Shop\",\"On 2010/08/01, I took Carson on a date to a coffee Shop\"\n1953,2010/08/01,I did HIIT on 2010/08/01.,I did HIIT on 2010/08/01.\n1954,2010/08/01,\"I had breakfast with Kayden, Carter, Emily, Andrew. I ate pancakes.\",\"I had breakfast with Kayden, Carter, Emily, Andrew. I ate pancakes.\"\n1955,2010/08/01,I had lunch with Kayden. I ate a burger.,I had lunch with Kayden. I ate a burger.\n1956,2010/08/01,I ate indian food for dinner.,I ate indian food for dinner.\n1957,2010/08/01,I talked to Rylee for 53 minutes in the late afternoon.,I talked to Rylee for 53 minutes in the late afternoon.\n1958,2010/08/01,I spent 51 talking to Eva on various topics late in the evening.,I spent 51 talking to Eva on various topics late in the evening.\n1959,2010/08/01,\"I talked to Nora, Eva, Hazel, Avery for 47 minutes late in the evening.\",\"I talked to Nora, Eva, Hazel, Avery for 47 minutes late in the evening.\"\n1960,2010/08/01,\"I talked to Piper, Claire, Rylee, Hazel for 11 minutes in the early evening.\",\"I talked to Piper, Claire, Rylee, Hazel for 11 minutes in the early evening.\"\n1961,2010/08/01,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n1962,2010/08/01,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n1963,2010/08/02,I did hiking on 2010/08/02.,I did hiking on 2010/08/02.\n1964,2010/08/02,\"I had breakfast with Piper, Layla, Nevaeh, Nora, Lydia, Rylee, Claire, Hazel, Olivia, Piper, Avery, Kinsley. I ate oatmeal.\",\"I had breakfast with Piper, Layla, Nevaeh, Nora, Lydia, Rylee, Claire, Hazel, Olivia, Piper, Avery, Kinsley. I ate oatmeal.\"\n1965,2010/08/02,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n1966,2010/08/02,\"I had dinner with Willow, Jackson, Avery. I ate sushi.\",\"I had dinner with Willow, Jackson, Avery. I ate sushi.\"\n1967,2010/08/02,I spent 38 talking to Nevaeh on various topics late in the evening.,I spent 38 talking to Nevaeh on various topics late in the evening.\n1968,2010/08/02,\"I talked to Rylee, Eva, Nora, Piper for 43 minutes in the morning.\",\"I talked to Rylee, Eva, Nora, Piper for 43 minutes in the morning.\"\n1969,2010/08/02,I talked to Nevaeh for 47 minutes in the early afternoon.,I talked to Nevaeh for 47 minutes in the early afternoon.\n1970,2010/08/02,\"I talked to Rylee, Layla, Nevaeh, Lydia for 35 minutes during lunch hours.\",\"I talked to Rylee, Layla, Nevaeh, Lydia for 35 minutes during lunch hours.\"\n1971,2010/08/02,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n1972,2010/08/02,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n1973,2010/08/03,I did hiking on 2010/08/03.,I did hiking on 2010/08/03.\n1974,2010/08/03,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1975,2010/08/03,I ate a burger for lunch.,I ate a burger for lunch.\n1976,2010/08/03,\"I had dinner with Kayden, Carter, Andrew. I ate sandwich.\",\"I had dinner with Kayden, Carter, Andrew. I ate sandwich.\"\n1977,2010/08/03,I talked to Rylee for 35 minutes in the late afternoon.,I talked to Rylee for 35 minutes in the late afternoon.\n1978,2010/08/03,\"I spent 42 talking to Eva, Claire on various topics in the morning.\",\"I spent 42 talking to Eva, Claire on various topics in the morning.\"\n1979,2010/08/03,\"I talked to Layla, Rylee, Hazel for 35 minutes in the early evening.\",\"I talked to Layla, Rylee, Hazel for 35 minutes in the early evening.\"\n1980,2010/08/03,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n1981,2010/08/03,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n1982,2010/08/04,\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate toast and cheese.\",\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate toast and cheese.\"\n1983,2010/08/04,I prepare tacos for lunch.,I prepare tacos for lunch.\n1984,2010/08/04,I had dinner with Carter. I ate indian food.,I had dinner with Carter. I ate indian food.\n1985,2010/08/04,I spent 11 talking to Nora on various topics in the late afternoon.,I spent 11 talking to Nora on various topics in the late afternoon.\n1986,2010/08/04,\"I talked to Nora, Piper, Olivia, Avery for 52 minutes in the early evening.\",\"I talked to Nora, Piper, Olivia, Avery for 52 minutes in the early evening.\"\n1987,2010/08/04,\"I spent 13 talking to Rylee, Nevaeh on various topics in the early evening.\",\"I spent 13 talking to Rylee, Nevaeh on various topics in the early evening.\"\n1988,2010/08/04,I spent 53 talking to Piper on various topics during lunch hours.,I spent 53 talking to Piper on various topics during lunch hours.\n1989,2010/08/04,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n1990,2010/08/04,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n1991,2010/08/05,\"I went grocery shopping. I bought some strawberries, raspberries, orange juice, mango juice, coffee, and shampoo\",\"I went grocery shopping. I bought some strawberries, raspberries, orange juice, mango juice, coffee, and shampoo\"\n1992,2010/08/05,I did weight lifting on 2010/08/05.,I did weight lifting on 2010/08/05.\n1993,2010/08/05,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n1994,2010/08/05,\"I had lunch with Piper, Hazel, Nevaeh, Olivia, Claire, Avery, Eva, Piper. I ate indian food.\",\"I had lunch with Piper, Hazel, Nevaeh, Olivia, Claire, Avery, Eva, Piper. I ate indian food.\"\n1995,2010/08/05,I prepare pasta for dinner.,I prepare pasta for dinner.\n1996,2010/08/05,\"I spent 43 talking to Rylee, Olivia, Eva, Avery on various topics late in the evening.\",\"I spent 43 talking to Rylee, Olivia, Eva, Avery on various topics late in the evening.\"\n1997,2010/08/05,\"I spent 43 talking to Nevaeh, Piper on various topics in the morning.\",\"I spent 43 talking to Nevaeh, Piper on various topics in the morning.\"\n1998,2010/08/05,\"I talked to Claire, Olivia for 50 minutes during lunch hours.\",\"I talked to Claire, Olivia for 50 minutes during lunch hours.\"\n1999,2010/08/05,I talked to Eva for 14 minutes late in the evening.,I talked to Eva for 14 minutes late in the evening.\n2000,2010/08/05,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n2001,2010/08/05,I spent 29 minutes watching news on TV today.,I spent 29 minutes watching news on TV today.\n2002,2010/08/06,\"On 2010/08/06, I took Naomi on a date to a coffee Shop\",\"On 2010/08/06, I took Naomi on a date to a coffee Shop\"\n2003,2010/08/06,I did hiking on 2010/08/06.,I did hiking on 2010/08/06.\n2004,2010/08/06,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n2005,2010/08/06,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n2006,2010/08/06,\"I had dinner with Kayden, Emily. I ate sushi.\",\"I had dinner with Kayden, Emily. I ate sushi.\"\n2007,2010/08/06,I talked to Claire for 46 minutes in the early afternoon.,I talked to Claire for 46 minutes in the early afternoon.\n2008,2010/08/06,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n2009,2010/08/06,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n2010,2010/08/07,I did HIIT on 2010/08/07.,I did HIIT on 2010/08/07.\n2011,2010/08/07,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n2012,2010/08/07,I had indian food for lunch with Carter,I had indian food for lunch with Carter\n2013,2010/08/07,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n2014,2010/08/07,I talked to Eva for 37 minutes during lunch hours.,I talked to Eva for 37 minutes during lunch hours.\n2015,2010/08/07,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n2016,2010/08/07,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n2017,2010/08/08,I did running on 2010/08/08.,I did running on 2010/08/08.\n2018,2010/08/08,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n2019,2010/08/08,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n2020,2010/08/08,\"I had dinner with Willow, Benjamin, Jackson, Avery. I ate a burger.\",\"I had dinner with Willow, Benjamin, Jackson, Avery. I ate a burger.\"\n2021,2010/08/08,\"I spent 19 talking to Piper, Hazel, Lydia on various topics in the morning.\",\"I spent 19 talking to Piper, Hazel, Lydia on various topics in the morning.\"\n2022,2010/08/08,\"I talked to Piper, Lydia, Claire, Kinsley for 6 minutes during lunch hours.\",\"I talked to Piper, Lydia, Claire, Kinsley for 6 minutes during lunch hours.\"\n2023,2010/08/08,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n2024,2010/08/08,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n2025,2010/08/09,I really enjoyed working out on 2010/08/09,I really enjoyed working out on 2010/08/09\n2026,2010/08/09,\"I bought some cherres, oranges, pears, orange juice, pineapple juice, milk, paper towel, mouthwash, mouth wash, facial wash online.\",\"I bought some cherres, oranges, pears, orange juice, pineapple juice, milk, paper towel, mouthwash, mouth wash, facial wash online.\"\n2027,2010/08/09,I did biking on 2010/08/09.,I did biking on 2010/08/09.\n2028,2010/08/09,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n2029,2010/08/09,\"I had lunch with Carter, Kayden, Emily, Andrew. I ate sushi.\",\"I had lunch with Carter, Kayden, Emily, Andrew. I ate sushi.\"\n2030,2010/08/09,I ate sandwich for dinner.,I ate sandwich for dinner.\n2031,2010/08/09,\"I talked to Rylee, Eva for 5 minutes in the early afternoon.\",\"I talked to Rylee, Eva for 5 minutes in the early afternoon.\"\n2032,2010/08/09,\"I spent 21 talking to Avery, Lydia on various topics in the morning.\",\"I spent 21 talking to Avery, Lydia on various topics in the morning.\"\n2033,2010/08/09,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n2034,2010/08/09,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n2035,2010/08/10,I did weight lifting on 2010/08/10.,I did weight lifting on 2010/08/10.\n2036,2010/08/10,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2037,2010/08/10,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n2038,2010/08/10,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n2039,2010/08/10,\"I talked to Piper, Nora for 29 minutes late in the evening.\",\"I talked to Piper, Nora for 29 minutes late in the evening.\"\n2040,2010/08/10,I spent 41 talking to Claire on various topics late in the evening.,I spent 41 talking to Claire on various topics late in the evening.\n2041,2010/08/10,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n2042,2010/08/10,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n2043,2010/08/11,I did biking on 2010/08/11.,I did biking on 2010/08/11.\n2044,2010/08/11,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n2045,2010/08/11,\"I had lunch with Jackson, Avery. I ate pasta.\",\"I had lunch with Jackson, Avery. I ate pasta.\"\n2046,2010/08/11,\"I had dinner with Avery, Jackson, Willow, Benjamin. I ate chinese food.\",\"I had dinner with Avery, Jackson, Willow, Benjamin. I ate chinese food.\"\n2047,2010/08/11,\"I spent 8 talking to Lydia, Nevaeh, Piper, Nora on various topics during lunch hours.\",\"I spent 8 talking to Lydia, Nevaeh, Piper, Nora on various topics during lunch hours.\"\n2048,2010/08/11,\"I talked to Nora, Lydia, Piper, Piper for 46 minutes during lunch hours.\",\"I talked to Nora, Lydia, Piper, Piper for 46 minutes during lunch hours.\"\n2049,2010/08/11,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n2050,2010/08/11,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n2051,2010/08/12,\"On 2010/08/12, I took Lillian on a date to a park\",\"On 2010/08/12, I took Lillian on a date to a park\"\n2052,2010/08/12,I did HIIT on 2010/08/12.,I did HIIT on 2010/08/12.\n2053,2010/08/12,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2054,2010/08/12,I prepare a burger for lunch.,I prepare a burger for lunch.\n2055,2010/08/12,I ate steak for dinner.,I ate steak for dinner.\n2056,2010/08/12,\"I spent 39 talking to Nevaeh, Claire on various topics in the early afternoon.\",\"I spent 39 talking to Nevaeh, Claire on various topics in the early afternoon.\"\n2057,2010/08/12,\"I spent 37 talking to Nevaeh, Piper, Layla, Rylee on various topics in the late afternoon.\",\"I spent 37 talking to Nevaeh, Piper, Layla, Rylee on various topics in the late afternoon.\"\n2058,2010/08/12,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n2059,2010/08/12,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n2060,2010/08/13,I did swimming on 2010/08/13.,I did swimming on 2010/08/13.\n2061,2010/08/13,\"I had pancakes for breakfast with Emily, Carter, Kayden, Andrew\",\"I had pancakes for breakfast with Emily, Carter, Kayden, Andrew\"\n2062,2010/08/13,I ate tacos for lunch.,I ate tacos for lunch.\n2063,2010/08/13,\"I had tacos for dinner with Willow, Benjamin\",\"I had tacos for dinner with Willow, Benjamin\"\n2064,2010/08/13,I spent 5 talking to Olivia on various topics late in the evening.,I spent 5 talking to Olivia on various topics late in the evening.\n2065,2010/08/13,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n2066,2010/08/13,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n2067,2010/08/14,I spent some time yoga on 2010/08/14.,I spent some time yoga on 2010/08/14.\n2068,2010/08/14,I did running on 2010/08/14.,I did running on 2010/08/14.\n2069,2010/08/14,I had cereals for breakfast with Carter,I had cereals for breakfast with Carter\n2070,2010/08/14,I had lunch with Carter. I ate indian food.,I had lunch with Carter. I ate indian food.\n2071,2010/08/14,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n2072,2010/08/14,\"I spent 33 talking to Piper, Nora, Kinsley on various topics in the late afternoon.\",\"I spent 33 talking to Piper, Nora, Kinsley on various topics in the late afternoon.\"\n2073,2010/08/14,I spent 7 talking to Rylee on various topics in the morning.,I spent 7 talking to Rylee on various topics in the morning.\n2074,2010/08/14,\"I spent 26 talking to Nora, Olivia, Piper, Avery on various topics in the early afternoon.\",\"I spent 26 talking to Nora, Olivia, Piper, Avery on various topics in the early afternoon.\"\n2075,2010/08/14,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n2076,2010/08/14,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n2077,2010/08/15,I did biking on 2010/08/15.,I did biking on 2010/08/15.\n2078,2010/08/15,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n2079,2010/08/15,\"I had pasta for lunch with Eva, Olivia, Lydia, Kinsley, Piper, Avery, Hazel\",\"I had pasta for lunch with Eva, Olivia, Lydia, Kinsley, Piper, Avery, Hazel\"\n2080,2010/08/15,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n2081,2010/08/15,\"I talked to Lydia, Avery, Nevaeh, Eva for 24 minutes in the early evening.\",\"I talked to Lydia, Avery, Nevaeh, Eva for 24 minutes in the early evening.\"\n2082,2010/08/15,\"I talked to Hazel, Piper, Rylee for 19 minutes during lunch hours.\",\"I talked to Hazel, Piper, Rylee for 19 minutes during lunch hours.\"\n2083,2010/08/15,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n2084,2010/08/15,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n2085,2010/08/16,I did hiking on 2010/08/16.,I did hiking on 2010/08/16.\n2086,2010/08/16,\"I had breakfast with Nora, Piper. I ate oatmeal.\",\"I had breakfast with Nora, Piper. I ate oatmeal.\"\n2087,2010/08/16,I prepare tacos for lunch.,I prepare tacos for lunch.\n2088,2010/08/16,\"I had steak for dinner with Piper, Nevaeh, Lydia, Claire, Hazel, Layla, Nora, Olivia, Eva\",\"I had steak for dinner with Piper, Nevaeh, Lydia, Claire, Hazel, Layla, Nora, Olivia, Eva\"\n2089,2010/08/16,I talked to Lydia for 27 minutes in the late afternoon.,I talked to Lydia for 27 minutes in the late afternoon.\n2090,2010/08/16,\"I talked to Nevaeh, Layla, Kinsley for 13 minutes in the late afternoon.\",\"I talked to Nevaeh, Layla, Kinsley for 13 minutes in the late afternoon.\"\n2091,2010/08/16,\"I spent 22 talking to Olivia, Hazel, Kinsley on various topics during lunch hours.\",\"I spent 22 talking to Olivia, Hazel, Kinsley on various topics during lunch hours.\"\n2092,2010/08/16,\"I spent 6 talking to Eva, Olivia on various topics during lunch hours.\",\"I spent 6 talking to Eva, Olivia on various topics during lunch hours.\"\n2093,2010/08/16,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n2094,2010/08/16,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n2095,2010/08/17,\"I bought some strawberries, clementines, mandarins, peaches, orange juice, pineapple juice, toothpaste, toothbrush, mouthwash from the grocery store. I saw Avery, Benjamin, Jackson, Willow at the grocery store.\",\"I bought some strawberries, clementines, mandarins, peaches, orange juice, pineapple juice, toothpaste, toothbrush, mouthwash from the grocery store. I saw Avery, Benjamin, Jackson, Willow at the grocery store.\"\n2096,2010/08/17,I did weight lifting on 2010/08/17.,I did weight lifting on 2010/08/17.\n2097,2010/08/17,\"I had breakfast with Avery, Benjamin, Willow. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Benjamin, Willow. I ate peanut-butter-jam.\"\n2098,2010/08/17,I ate pasta for lunch.,I ate pasta for lunch.\n2099,2010/08/17,\"I had dinner with Emily, Kayden, Andrew, Carter. I ate pasta.\",\"I had dinner with Emily, Kayden, Andrew, Carter. I ate pasta.\"\n2100,2010/08/17,\"I spent 52 talking to Hazel, Olivia on various topics in the early evening.\",\"I spent 52 talking to Hazel, Olivia on various topics in the early evening.\"\n2101,2010/08/17,\"I spent 12 talking to Claire, Eva, Rylee, Layla on various topics during lunch hours.\",\"I spent 12 talking to Claire, Eva, Rylee, Layla on various topics during lunch hours.\"\n2102,2010/08/17,I talked to Piper for 21 minutes during lunch hours.,I talked to Piper for 21 minutes during lunch hours.\n2103,2010/08/17,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n2104,2010/08/17,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n2105,2010/08/18,\"On 2010/08/18, I took Jayden on a date to a coffee Shop\",\"On 2010/08/18, I took Jayden on a date to a coffee Shop\"\n2106,2010/08/18,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n2107,2010/08/18,\"I had lunch with Carter, Kayden, Emily, Andrew. I ate a burger.\",\"I had lunch with Carter, Kayden, Emily, Andrew. I ate a burger.\"\n2108,2010/08/18,I prepare tacos for dinner.,I prepare tacos for dinner.\n2109,2010/08/18,\"I spent 42 talking to Nora, Claire, Lydia on various topics in the early evening.\",\"I spent 42 talking to Nora, Claire, Lydia on various topics in the early evening.\"\n2110,2010/08/18,\"I spent 30 talking to Piper, Olivia, Eva, Claire on various topics in the morning.\",\"I spent 30 talking to Piper, Olivia, Eva, Claire on various topics in the morning.\"\n2111,2010/08/18,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n2112,2010/08/18,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n2113,2010/08/19,I did running on 2010/08/19.,I did running on 2010/08/19.\n2114,2010/08/19,\"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Emily, Andrew\",\"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Emily, Andrew\"\n2115,2010/08/19,\"I had lunch with Piper, Eva. I ate chinese food.\",\"I had lunch with Piper, Eva. I ate chinese food.\"\n2116,2010/08/19,I had a burger for dinner with Olivia,I had a burger for dinner with Olivia\n2117,2010/08/19,\"I talked to Layla, Lydia, Kinsley, Olivia for 32 minutes in the early evening.\",\"I talked to Layla, Lydia, Kinsley, Olivia for 32 minutes in the early evening.\"\n2118,2010/08/19,I spent 20 talking to Claire on various topics in the early evening.,I spent 20 talking to Claire on various topics in the early evening.\n2119,2010/08/19,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n2120,2010/08/19,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n2121,2010/08/20,I went for an annual physical checkup on 2010/08/20 at the private clinic.,I went for an annual physical checkup on 2010/08/20 at the private clinic.\n2122,2010/08/20,\"I went grocery shopping with Emily, Carter, Kayden, Andrew. I bought some blackberries, mangos, nectarines, guava, chocolate milk, sports drinks, pineapple juice, and body lotion, conditioner, toilet paper\",\"I went grocery shopping with Emily, Carter, Kayden, Andrew. I bought some blackberries, mangos, nectarines, guava, chocolate milk, sports drinks, pineapple juice, and body lotion, conditioner, toilet paper\"\n2123,2010/08/20,I did swimming on 2010/08/20.,I did swimming on 2010/08/20.\n2124,2010/08/20,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n2125,2010/08/20,I had lunch with Willow. I ate chinese food.,I had lunch with Willow. I ate chinese food.\n2126,2010/08/20,\"I had sandwich for dinner with Carter, Andrew\",\"I had sandwich for dinner with Carter, Andrew\"\n2127,2010/08/20,\"I talked to Kinsley, Olivia for 21 minutes in the morning.\",\"I talked to Kinsley, Olivia for 21 minutes in the morning.\"\n2128,2010/08/20,\"I talked to Claire, Piper, Nevaeh for 36 minutes in the early afternoon.\",\"I talked to Claire, Piper, Nevaeh for 36 minutes in the early afternoon.\"\n2129,2010/08/20,\"I spent 14 talking to Hazel, Rylee, Nora on various topics late in the evening.\",\"I spent 14 talking to Hazel, Rylee, Nora on various topics late in the evening.\"\n2130,2010/08/20,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n2131,2010/08/20,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n2132,2010/08/21,I went on a date with Bella on 2010/08/21 at a restaurant,I went on a date with Bella on 2010/08/21 at a restaurant\n2133,2010/08/21,I did hiking on 2010/08/21.,I did hiking on 2010/08/21.\n2134,2010/08/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n2135,2010/08/21,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n2136,2010/08/21,\"I had steak for dinner with Carter, Emily, Andrew\",\"I had steak for dinner with Carter, Emily, Andrew\"\n2137,2010/08/21,I talked to Layla for 32 minutes in the early afternoon.,I talked to Layla for 32 minutes in the early afternoon.\n2138,2010/08/21,\"I spent 52 talking to Piper, Kinsley, Piper, Avery on various topics during lunch hours.\",\"I spent 52 talking to Piper, Kinsley, Piper, Avery on various topics during lunch hours.\"\n2139,2010/08/21,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n2140,2010/08/21,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n2141,2010/08/22,I spent some time yoga on 2010/08/22.,I spent some time yoga on 2010/08/22.\n2142,2010/08/22,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n2143,2010/08/22,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n2144,2010/08/22,\"I had dinner with Avery, Jackson, Benjamin. I ate tacos.\",\"I had dinner with Avery, Jackson, Benjamin. I ate tacos.\"\n2145,2010/08/22,\"I spent 39 talking to Olivia, Avery, Eva, Piper on various topics in the early evening.\",\"I spent 39 talking to Olivia, Avery, Eva, Piper on various topics in the early evening.\"\n2146,2010/08/22,\"I spent 22 talking to Kinsley, Claire, Nora on various topics in the early evening.\",\"I spent 22 talking to Kinsley, Claire, Nora on various topics in the early evening.\"\n2147,2010/08/22,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n2148,2010/08/22,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n2149,2010/08/23,I did hiking on 2010/08/23.,I did hiking on 2010/08/23.\n2150,2010/08/23,I had breakfast with Willow. I ate peanut-butter-jam.,I had breakfast with Willow. I ate peanut-butter-jam.\n2151,2010/08/23,\"I had lunch with Avery, Jackson, Willow, Benjamin. I ate a burger.\",\"I had lunch with Avery, Jackson, Willow, Benjamin. I ate a burger.\"\n2152,2010/08/23,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n2153,2010/08/23,\"I talked to Lydia, Layla for 5 minutes in the early afternoon.\",\"I talked to Lydia, Layla for 5 minutes in the early afternoon.\"\n2154,2010/08/23,\"I talked to Hazel, Kinsley, Avery, Nora for 43 minutes during lunch hours.\",\"I talked to Hazel, Kinsley, Avery, Nora for 43 minutes during lunch hours.\"\n2155,2010/08/23,\"I talked to Piper, Kinsley, Piper, Claire for 8 minutes in the early evening.\",\"I talked to Piper, Kinsley, Piper, Claire for 8 minutes in the early evening.\"\n2156,2010/08/23,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n2157,2010/08/23,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n2158,2010/08/24,\"On 2010/08/24, I took Audrey on a date to a park\",\"On 2010/08/24, I took Audrey on a date to a park\"\n2159,2010/08/24,I did HIIT on 2010/08/24.,I did HIIT on 2010/08/24.\n2160,2010/08/24,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n2161,2010/08/24,I ate steak for lunch.,I ate steak for lunch.\n2162,2010/08/24,I had dinner. I ate steak.,I had dinner. I ate steak.\n2163,2010/08/24,\"I spent 22 talking to Kinsley, Hazel, Eva on various topics during lunch hours.\",\"I spent 22 talking to Kinsley, Hazel, Eva on various topics during lunch hours.\"\n2164,2010/08/24,\"I spent 18 talking to Avery, Hazel, Lydia, Kinsley on various topics late in the evening.\",\"I spent 18 talking to Avery, Hazel, Lydia, Kinsley on various topics late in the evening.\"\n2165,2010/08/24,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n2166,2010/08/24,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n2167,2010/08/25,\"I bought some oranges, apricots, chocolate milk, conditioner, body lotion online.\",\"I bought some oranges, apricots, chocolate milk, conditioner, body lotion online.\"\n2168,2010/08/25,I did weight lifting on 2010/08/25.,I did weight lifting on 2010/08/25.\n2169,2010/08/25,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n2170,2010/08/25,I prepare a burger for lunch.,I prepare a burger for lunch.\n2171,2010/08/25,\"I had dinner with Nora, Kinsley, Hazel, Rylee, Piper, Piper, Layla, Lydia, Claire, Nevaeh, Eva, Avery. I ate fish and chips.\",\"I had dinner with Nora, Kinsley, Hazel, Rylee, Piper, Piper, Layla, Lydia, Claire, Nevaeh, Eva, Avery. I ate fish and chips.\"\n2172,2010/08/25,\"I spent 9 talking to Lydia, Layla on various topics in the early evening.\",\"I spent 9 talking to Lydia, Layla on various topics in the early evening.\"\n2173,2010/08/25,\"I talked to Layla, Hazel, Piper for 19 minutes in the morning.\",\"I talked to Layla, Hazel, Piper for 19 minutes in the morning.\"\n2174,2010/08/25,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n2175,2010/08/25,I spent 27 minutes watching a movie on TV today.,I spent 27 minutes watching a movie on TV today.\n2176,2010/08/26,I did hiking on 2010/08/26.,I did hiking on 2010/08/26.\n2177,2010/08/26,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n2178,2010/08/26,\"I had tacos for lunch with Kayden, Emily\",\"I had tacos for lunch with Kayden, Emily\"\n2179,2010/08/26,I had dinner. I ate steak.,I had dinner. I ate steak.\n2180,2010/08/26,\"I talked to Nevaeh, Avery, Nora, Eva for 26 minutes in the early evening.\",\"I talked to Nevaeh, Avery, Nora, Eva for 26 minutes in the early evening.\"\n2181,2010/08/26,I talked to Nora for 18 minutes during lunch hours.,I talked to Nora for 18 minutes during lunch hours.\n2182,2010/08/26,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n2183,2010/08/26,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n2184,2010/08/27,\"I went grocery shopping. I bought some guava, guava juice, chocolate milk, and toilet paper, mouth wash, conditioner, shampoo\",\"I went grocery shopping. I bought some guava, guava juice, chocolate milk, and toilet paper, mouth wash, conditioner, shampoo\"\n2185,2010/08/27,I did swimming on 2010/08/27.,I did swimming on 2010/08/27.\n2186,2010/08/27,\"I had breakfast with Claire, Nevaeh, Eva, Lydia, Olivia, Nora, Piper, Rylee, Layla. I ate oatmeal.\",\"I had breakfast with Claire, Nevaeh, Eva, Lydia, Olivia, Nora, Piper, Rylee, Layla. I ate oatmeal.\"\n2187,2010/08/27,\"I had sandwich for lunch with Rylee, Layla, Kinsley, Avery, Claire, Piper, Lydia, Nevaeh, Nora, Hazel\",\"I had sandwich for lunch with Rylee, Layla, Kinsley, Avery, Claire, Piper, Lydia, Nevaeh, Nora, Hazel\"\n2188,2010/08/27,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n2189,2010/08/27,I talked to Kinsley for 5 minutes in the late afternoon.,I talked to Kinsley for 5 minutes in the late afternoon.\n2190,2010/08/27,\"I spent 43 talking to Piper, Hazel, Piper on various topics during lunch hours.\",\"I spent 43 talking to Piper, Hazel, Piper on various topics during lunch hours.\"\n2191,2010/08/27,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n2192,2010/08/27,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n2193,2010/08/28,I really enjoyed gardening on 2010/08/28,I really enjoyed gardening on 2010/08/28\n2194,2010/08/28,I did hiking on 2010/08/28.,I did hiking on 2010/08/28.\n2195,2010/08/28,\"I had breakfast with Hazel, Nevaeh, Eva, Layla. I ate cereals.\",\"I had breakfast with Hazel, Nevaeh, Eva, Layla. I ate cereals.\"\n2196,2010/08/28,I prepare steak for lunch.,I prepare steak for lunch.\n2197,2010/08/28,I ate sushi for dinner.,I ate sushi for dinner.\n2198,2010/08/28,\"I talked to Eva, Nora for 30 minutes during lunch hours.\",\"I talked to Eva, Nora for 30 minutes during lunch hours.\"\n2199,2010/08/28,\"I spent 30 talking to Nora, Avery, Layla on various topics in the late afternoon.\",\"I spent 30 talking to Nora, Avery, Layla on various topics in the late afternoon.\"\n2200,2010/08/28,I spent 7 talking to Avery on various topics in the early evening.,I spent 7 talking to Avery on various topics in the early evening.\n2201,2010/08/28,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n2202,2010/08/28,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n2203,2010/08/29,I did hiking on 2010/08/29.,I did hiking on 2010/08/29.\n2204,2010/08/29,\"I had eggs, sausages, and bread for breakfast with Kayden\",\"I had eggs, sausages, and bread for breakfast with Kayden\"\n2205,2010/08/29,\"I had sushi for lunch with Eva, Lydia, Layla, Kinsley, Avery, Nevaeh, Piper, Nora, Olivia, Piper, Claire\",\"I had sushi for lunch with Eva, Lydia, Layla, Kinsley, Avery, Nevaeh, Piper, Nora, Olivia, Piper, Claire\"\n2206,2010/08/29,\"I had dinner with Kayden, Andrew, Emily. I ate tacos.\",\"I had dinner with Kayden, Andrew, Emily. I ate tacos.\"\n2207,2010/08/29,\"I spent 36 talking to Kinsley, Layla on various topics in the early afternoon.\",\"I spent 36 talking to Kinsley, Layla on various topics in the early afternoon.\"\n2208,2010/08/29,\"I talked to Piper, Hazel, Lydia, Kinsley for 21 minutes in the morning.\",\"I talked to Piper, Hazel, Lydia, Kinsley for 21 minutes in the morning.\"\n2209,2010/08/29,I talked to Hazel for 39 minutes in the early evening.,I talked to Hazel for 39 minutes in the early evening.\n2210,2010/08/29,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n2211,2010/08/29,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n2212,2010/08/30,I did swimming on 2010/08/30.,I did swimming on 2010/08/30.\n2213,2010/08/30,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n2214,2010/08/30,\"I had lunch with Carter, Andrew, Kayden, Emily. I ate steak.\",\"I had lunch with Carter, Andrew, Kayden, Emily. I ate steak.\"\n2215,2010/08/30,I ate sushi for dinner.,I ate sushi for dinner.\n2216,2010/08/30,I spent 35 talking to Avery on various topics during lunch hours.,I spent 35 talking to Avery on various topics during lunch hours.\n2217,2010/08/30,\"I talked to Eva, Layla, Nevaeh for 19 minutes late in the evening.\",\"I talked to Eva, Layla, Nevaeh for 19 minutes late in the evening.\"\n2218,2010/08/30,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n2219,2010/08/30,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n2220,2010/08/31,I did weight lifting on 2010/08/31.,I did weight lifting on 2010/08/31.\n2221,2010/08/31,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n2222,2010/08/31,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n2223,2010/08/31,I prepare steak for dinner.,I prepare steak for dinner.\n2224,2010/08/31,I spent 43 talking to Layla on various topics late in the evening.,I spent 43 talking to Layla on various topics late in the evening.\n2225,2010/08/31,\"I talked to Olivia, Nora, Rylee, Piper for 25 minutes in the late afternoon.\",\"I talked to Olivia, Nora, Rylee, Piper for 25 minutes in the late afternoon.\"\n2226,2010/08/31,\"I spent 55 talking to Rylee, Lydia, Hazel on various topics during lunch hours.\",\"I spent 55 talking to Rylee, Lydia, Hazel on various topics during lunch hours.\"\n2227,2010/08/31,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n2228,2010/08/31,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n2229,2010/09/01,\"I went grocery shopping. I bought some nectarines, clementines, guava juice, tea, mango juice, and conditioner\",\"I went grocery shopping. I bought some nectarines, clementines, guava juice, tea, mango juice, and conditioner\"\n2230,2010/09/01,I did hiking on 2010/09/01.,I did hiking on 2010/09/01.\n2231,2010/09/01,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n2232,2010/09/01,I ate sandwich for lunch.,I ate sandwich for lunch.\n2233,2010/09/01,I had dinner. I ate steak.,I had dinner. I ate steak.\n2234,2010/09/01,\"I talked to Claire, Nora, Rylee, Piper for 12 minutes in the early afternoon.\",\"I talked to Claire, Nora, Rylee, Piper for 12 minutes in the early afternoon.\"\n2235,2010/09/01,\"I spent 44 talking to Avery, Lydia, Eva on various topics in the early afternoon.\",\"I spent 44 talking to Avery, Lydia, Eva on various topics in the early afternoon.\"\n2236,2010/09/01,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n2237,2010/09/01,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n2238,2010/09/02,I did HIIT on 2010/09/02.,I did HIIT on 2010/09/02.\n2239,2010/09/02,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n2240,2010/09/02,I ate indian food for lunch.,I ate indian food for lunch.\n2241,2010/09/02,\"I had a burger for dinner with Willow, Benjamin\",\"I had a burger for dinner with Willow, Benjamin\"\n2242,2010/09/02,\"I spent 35 talking to Lydia, Claire, Avery on various topics in the morning.\",\"I spent 35 talking to Lydia, Claire, Avery on various topics in the morning.\"\n2243,2010/09/02,\"I spent 34 talking to Claire, Avery, Rylee on various topics in the morning.\",\"I spent 34 talking to Claire, Avery, Rylee on various topics in the morning.\"\n2244,2010/09/02,I spent 18 talking to Lydia on various topics in the late afternoon.,I spent 18 talking to Lydia on various topics in the late afternoon.\n2245,2010/09/02,\"I spent 35 talking to Lydia, Eva on various topics in the early afternoon.\",\"I spent 35 talking to Lydia, Eva on various topics in the early afternoon.\"\n2246,2010/09/02,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n2247,2010/09/02,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n2248,2010/09/03,I did swimming on 2010/09/03.,I did swimming on 2010/09/03.\n2249,2010/09/03,\"I had cereals for breakfast with Carter, Kayden, Andrew, Emily\",\"I had cereals for breakfast with Carter, Kayden, Andrew, Emily\"\n2250,2010/09/03,I ate tacos for lunch.,I ate tacos for lunch.\n2251,2010/09/03,I prepare a burger for dinner.,I prepare a burger for dinner.\n2252,2010/09/03,\"I talked to Piper, Nevaeh, Rylee, Hazel for 48 minutes in the early evening.\",\"I talked to Piper, Nevaeh, Rylee, Hazel for 48 minutes in the early evening.\"\n2253,2010/09/03,\"I spent 27 talking to Layla, Lydia, Eva, Piper on various topics in the early afternoon.\",\"I spent 27 talking to Layla, Lydia, Eva, Piper on various topics in the early afternoon.\"\n2254,2010/09/03,\"I spent 25 talking to Lydia, Hazel on various topics in the morning.\",\"I spent 25 talking to Lydia, Hazel on various topics in the morning.\"\n2255,2010/09/03,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n2256,2010/09/03,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n2257,2010/09/04,I did hiking on 2010/09/04.,I did hiking on 2010/09/04.\n2258,2010/09/04,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n2259,2010/09/04,I prepare indian food for lunch.,I prepare indian food for lunch.\n2260,2010/09/04,\"I had dinner with Carter, Andrew, Emily. I ate chinese food.\",\"I had dinner with Carter, Andrew, Emily. I ate chinese food.\"\n2261,2010/09/04,I spent 43 talking to Lydia on various topics during lunch hours.,I spent 43 talking to Lydia on various topics during lunch hours.\n2262,2010/09/04,\"I talked to Kinsley, Rylee for 15 minutes during lunch hours.\",\"I talked to Kinsley, Rylee for 15 minutes during lunch hours.\"\n2263,2010/09/04,\"I talked to Nevaeh, Lydia, Piper, Kinsley for 29 minutes in the early afternoon.\",\"I talked to Nevaeh, Lydia, Piper, Kinsley for 29 minutes in the early afternoon.\"\n2264,2010/09/04,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n2265,2010/09/04,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n2266,2010/09/05,I did hiking on 2010/09/05.,I did hiking on 2010/09/05.\n2267,2010/09/05,\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden\",\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden\"\n2268,2010/09/05,\"I had chinese food for lunch with Rylee, Avery, Nora, Piper, Piper, Claire, Eva\",\"I had chinese food for lunch with Rylee, Avery, Nora, Piper, Piper, Claire, Eva\"\n2269,2010/09/05,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n2270,2010/09/05,\"I spent 11 talking to Eva, Layla on various topics in the morning.\",\"I spent 11 talking to Eva, Layla on various topics in the morning.\"\n2271,2010/09/05,\"I spent 44 talking to Olivia, Piper on various topics in the early evening.\",\"I spent 44 talking to Olivia, Piper on various topics in the early evening.\"\n2272,2010/09/05,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n2273,2010/09/05,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n2274,2010/09/06,I did running on 2010/09/06.,I did running on 2010/09/06.\n2275,2010/09/06,\"I had breakfast with Eva, Lydia, Claire, Rylee, Nevaeh, Kinsley, Avery, Piper, Hazel, Piper. I ate cereals.\",\"I had breakfast with Eva, Lydia, Claire, Rylee, Nevaeh, Kinsley, Avery, Piper, Hazel, Piper. I ate cereals.\"\n2276,2010/09/06,I ate steak for lunch.,I ate steak for lunch.\n2277,2010/09/06,I ate a burger for dinner.,I ate a burger for dinner.\n2278,2010/09/06,\"I spent 38 talking to Nevaeh, Lydia, Rylee, Olivia on various topics in the late afternoon.\",\"I spent 38 talking to Nevaeh, Lydia, Rylee, Olivia on various topics in the late afternoon.\"\n2279,2010/09/06,\"I talked to Olivia, Kinsley for 36 minutes late in the evening.\",\"I talked to Olivia, Kinsley for 36 minutes late in the evening.\"\n2280,2010/09/06,I talked to Olivia for 25 minutes in the late afternoon.,I talked to Olivia for 25 minutes in the late afternoon.\n2281,2010/09/06,\"I spent 31 talking to Eva, Layla, Olivia on various topics in the late afternoon.\",\"I spent 31 talking to Eva, Layla, Olivia on various topics in the late afternoon.\"\n2282,2010/09/06,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n2283,2010/09/06,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n2284,2010/09/07,I spent some time working out on 2010/09/07.,I spent some time working out on 2010/09/07.\n2285,2010/09/07,\"I went grocery shopping. I bought some pears, oranges, mineral water, chocolate milk, and toilet paper, facial wash, paper towel\",\"I went grocery shopping. I bought some pears, oranges, mineral water, chocolate milk, and toilet paper, facial wash, paper towel\"\n2286,2010/09/07,I did swimming on 2010/09/07.,I did swimming on 2010/09/07.\n2287,2010/09/07,\"I had eggs, sausages, and bread for breakfast with Emily, Carter\",\"I had eggs, sausages, and bread for breakfast with Emily, Carter\"\n2288,2010/09/07,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n2289,2010/09/07,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n2290,2010/09/07,\"I talked to Hazel, Olivia, Claire, Eva for 46 minutes in the early evening.\",\"I talked to Hazel, Olivia, Claire, Eva for 46 minutes in the early evening.\"\n2291,2010/09/07,\"I spent 5 talking to Avery, Kinsley on various topics in the early afternoon.\",\"I spent 5 talking to Avery, Kinsley on various topics in the early afternoon.\"\n2292,2010/09/07,I spent 34 talking to Hazel on various topics in the early evening.,I spent 34 talking to Hazel on various topics in the early evening.\n2293,2010/09/07,\"I spent 54 talking to Nevaeh, Eva, Layla on various topics in the early afternoon.\",\"I spent 54 talking to Nevaeh, Eva, Layla on various topics in the early afternoon.\"\n2294,2010/09/07,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n2295,2010/09/07,I watched news for 52 minutes on TV today.,I watched news for 52 minutes on TV today.\n2296,2010/09/08,\"On 2010/09/08, I took Joseph on a date to a restaurant\",\"On 2010/09/08, I took Joseph on a date to a restaurant\"\n2297,2010/09/08,I did hiking on 2010/09/08.,I did hiking on 2010/09/08.\n2298,2010/09/08,\"I had breakfast with Willow, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Willow, Jackson. I ate peanut-butter-jam.\"\n2299,2010/09/08,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n2300,2010/09/08,\"I had dinner with Nora, Layla, Piper. I ate fish and chips.\",\"I had dinner with Nora, Layla, Piper. I ate fish and chips.\"\n2301,2010/09/08,\"I spent 28 talking to Piper, Avery on various topics in the early afternoon.\",\"I spent 28 talking to Piper, Avery on various topics in the early afternoon.\"\n2302,2010/09/08,\"I talked to Kinsley, Nevaeh for 6 minutes during lunch hours.\",\"I talked to Kinsley, Nevaeh for 6 minutes during lunch hours.\"\n2303,2010/09/08,\"I spent 29 talking to Kinsley, Avery, Piper, Nora on various topics late in the evening.\",\"I spent 29 talking to Kinsley, Avery, Piper, Nora on various topics late in the evening.\"\n2304,2010/09/08,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n2305,2010/09/08,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n2306,2010/09/09,I did biking on 2010/09/09.,I did biking on 2010/09/09.\n2307,2010/09/09,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n2308,2010/09/09,I prepare indian food for lunch.,I prepare indian food for lunch.\n2309,2010/09/09,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n2310,2010/09/09,\"I talked to Rylee, Olivia, Nevaeh for 12 minutes during lunch hours.\",\"I talked to Rylee, Olivia, Nevaeh for 12 minutes during lunch hours.\"\n2311,2010/09/09,\"I spent 25 talking to Layla, Nevaeh, Nora, Claire on various topics in the late afternoon.\",\"I spent 25 talking to Layla, Nevaeh, Nora, Claire on various topics in the late afternoon.\"\n2312,2010/09/09,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n2313,2010/09/09,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n2314,2010/09/10,I did biking on 2010/09/10.,I did biking on 2010/09/10.\n2315,2010/09/10,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n2316,2010/09/10,I ate a burger for lunch.,I ate a burger for lunch.\n2317,2010/09/10,I ate a burger for dinner.,I ate a burger for dinner.\n2318,2010/09/10,\"I spent 20 talking to Nevaeh, Eva, Nora, Layla on various topics in the morning.\",\"I spent 20 talking to Nevaeh, Eva, Nora, Layla on various topics in the morning.\"\n2319,2010/09/10,\"I spent 47 talking to Olivia, Claire, Nora, Kinsley on various topics late in the evening.\",\"I spent 47 talking to Olivia, Claire, Nora, Kinsley on various topics late in the evening.\"\n2320,2010/09/10,\"I spent 26 talking to Hazel, Lydia, Eva on various topics late in the evening.\",\"I spent 26 talking to Hazel, Lydia, Eva on various topics late in the evening.\"\n2321,2010/09/10,\"I spent 21 talking to Nevaeh, Claire, Hazel, Piper on various topics in the early evening.\",\"I spent 21 talking to Nevaeh, Claire, Hazel, Piper on various topics in the early evening.\"\n2322,2010/09/10,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n2323,2010/09/10,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n2324,2010/09/11,\"On 2010/09/11, I took Elijah on a date to a park\",\"On 2010/09/11, I took Elijah on a date to a park\"\n2325,2010/09/11,\"I bought some oranges, mineral water, toothpaste, toilet paper online.\",\"I bought some oranges, mineral water, toothpaste, toilet paper online.\"\n2326,2010/09/11,I did swimming on 2010/09/11.,I did swimming on 2010/09/11.\n2327,2010/09/11,\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin, Avery, Jackson\",\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin, Avery, Jackson\"\n2328,2010/09/11,I prepare tacos for lunch.,I prepare tacos for lunch.\n2329,2010/09/11,\"I had dinner with Carter, Andrew. I ate a burger.\",\"I had dinner with Carter, Andrew. I ate a burger.\"\n2330,2010/09/11,\"I spent 29 talking to Rylee, Layla, Kinsley, Piper on various topics in the early evening.\",\"I spent 29 talking to Rylee, Layla, Kinsley, Piper on various topics in the early evening.\"\n2331,2010/09/11,\"I talked to Nevaeh, Lydia, Eva for 51 minutes during lunch hours.\",\"I talked to Nevaeh, Lydia, Eva for 51 minutes during lunch hours.\"\n2332,2010/09/11,\"I spent 16 talking to Nora, Hazel on various topics during lunch hours.\",\"I spent 16 talking to Nora, Hazel on various topics during lunch hours.\"\n2333,2010/09/11,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n2334,2010/09/11,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n2335,2010/09/12,I really enjoyed yoga on 2010/09/12,I really enjoyed yoga on 2010/09/12\n2336,2010/09/12,I did hiking on 2010/09/12.,I did hiking on 2010/09/12.\n2337,2010/09/12,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n2338,2010/09/12,I prepare tacos for lunch.,I prepare tacos for lunch.\n2339,2010/09/12,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n2340,2010/09/12,I spent 5 talking to Piper on various topics during lunch hours.,I spent 5 talking to Piper on various topics during lunch hours.\n2341,2010/09/12,\"I spent 44 talking to Layla, Claire, Hazel on various topics in the morning.\",\"I spent 44 talking to Layla, Claire, Hazel on various topics in the morning.\"\n2342,2010/09/12,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n2343,2010/09/12,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n2344,2010/09/13,I did hiking on 2010/09/13.,I did hiking on 2010/09/13.\n2345,2010/09/13,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n2346,2010/09/13,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n2347,2010/09/13,\"I had a burger for dinner with Kayden, Carter, Andrew\",\"I had a burger for dinner with Kayden, Carter, Andrew\"\n2348,2010/09/13,I spent 20 talking to Piper on various topics in the late afternoon.,I spent 20 talking to Piper on various topics in the late afternoon.\n2349,2010/09/13,\"I spent 49 talking to Nevaeh, Hazel on various topics in the morning.\",\"I spent 49 talking to Nevaeh, Hazel on various topics in the morning.\"\n2350,2010/09/13,\"I talked to Avery, Nora for 29 minutes in the early evening.\",\"I talked to Avery, Nora for 29 minutes in the early evening.\"\n2351,2010/09/13,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n2352,2010/09/13,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n2353,2010/09/14,I did swimming on 2010/09/14.,I did swimming on 2010/09/14.\n2354,2010/09/14,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n2355,2010/09/14,\"I had lunch with Andrew, Carter. I ate steak.\",\"I had lunch with Andrew, Carter. I ate steak.\"\n2356,2010/09/14,\"I had indian food for dinner with Kinsley, Claire, Eva, Avery, Nevaeh, Layla, Piper, Olivia, Rylee, Lydia\",\"I had indian food for dinner with Kinsley, Claire, Eva, Avery, Nevaeh, Layla, Piper, Olivia, Rylee, Lydia\"\n2357,2010/09/14,\"I talked to Olivia, Piper for 37 minutes in the early afternoon.\",\"I talked to Olivia, Piper for 37 minutes in the early afternoon.\"\n2358,2010/09/14,I spent 45 talking to Avery on various topics late in the evening.,I spent 45 talking to Avery on various topics late in the evening.\n2359,2010/09/14,\"I talked to Olivia, Layla, Piper, Nevaeh for 10 minutes in the late afternoon.\",\"I talked to Olivia, Layla, Piper, Nevaeh for 10 minutes in the late afternoon.\"\n2360,2010/09/14,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n2361,2010/09/14,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n2362,2010/09/15,\"I bought some peaches, guava juice, shaving cream, toilet paper from the grocery store. I saw Piper, Olivia, Nora at the grocery store.\",\"I bought some peaches, guava juice, shaving cream, toilet paper from the grocery store. I saw Piper, Olivia, Nora at the grocery store.\"\n2363,2010/09/15,I did weight lifting on 2010/09/15.,I did weight lifting on 2010/09/15.\n2364,2010/09/15,\"I had peanut-butter-jam for breakfast with Avery, Benjamin, Willow, Jackson\",\"I had peanut-butter-jam for breakfast with Avery, Benjamin, Willow, Jackson\"\n2365,2010/09/15,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n2366,2010/09/15,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n2367,2010/09/15,\"I spent 51 talking to Claire, Piper, Olivia on various topics late in the evening.\",\"I spent 51 talking to Claire, Piper, Olivia on various topics late in the evening.\"\n2368,2010/09/15,\"I talked to Kinsley, Nora, Eva for 33 minutes in the early afternoon.\",\"I talked to Kinsley, Nora, Eva for 33 minutes in the early afternoon.\"\n2369,2010/09/15,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n2370,2010/09/15,I watched news for 5 minutes on TV today.,I watched news for 5 minutes on TV today.\n2371,2010/09/16,I went on a date with Carson on 2010/09/16 at a restaurant,I went on a date with Carson on 2010/09/16 at a restaurant\n2372,2010/09/16,I did swimming on 2010/09/16.,I did swimming on 2010/09/16.\n2373,2010/09/16,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2374,2010/09/16,\"I had lunch with Olivia, Rylee, Piper. I ate sandwich.\",\"I had lunch with Olivia, Rylee, Piper. I ate sandwich.\"\n2375,2010/09/16,I ate steak for dinner.,I ate steak for dinner.\n2376,2010/09/16,I talked to Kinsley for 44 minutes in the late afternoon.,I talked to Kinsley for 44 minutes in the late afternoon.\n2377,2010/09/16,\"I spent 30 talking to Claire, Avery, Eva on various topics in the early afternoon.\",\"I spent 30 talking to Claire, Avery, Eva on various topics in the early afternoon.\"\n2378,2010/09/16,\"I spent 26 talking to Layla, Olivia on various topics in the morning.\",\"I spent 26 talking to Layla, Olivia on various topics in the morning.\"\n2379,2010/09/16,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n2380,2010/09/16,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n2381,2010/09/17,I went on a date with Chloe on 2010/09/17 at a park,I went on a date with Chloe on 2010/09/17 at a park\n2382,2010/09/17,I did weight lifting on 2010/09/17.,I did weight lifting on 2010/09/17.\n2383,2010/09/17,\"I had eggs, sausages, and bread for breakfast with Andrew\",\"I had eggs, sausages, and bread for breakfast with Andrew\"\n2384,2010/09/17,\"I had lunch with Jackson, Benjamin. I ate tacos.\",\"I had lunch with Jackson, Benjamin. I ate tacos.\"\n2385,2010/09/17,\"I had dinner with Andrew, Carter, Kayden. I ate sandwich.\",\"I had dinner with Andrew, Carter, Kayden. I ate sandwich.\"\n2386,2010/09/17,\"I spent 27 talking to Avery, Claire, Eva, Rylee on various topics during lunch hours.\",\"I spent 27 talking to Avery, Claire, Eva, Rylee on various topics during lunch hours.\"\n2387,2010/09/17,I talked to Kinsley for 20 minutes in the late afternoon.,I talked to Kinsley for 20 minutes in the late afternoon.\n2388,2010/09/17,\"I talked to Rylee, Piper, Piper, Nevaeh for 5 minutes in the early afternoon.\",\"I talked to Rylee, Piper, Piper, Nevaeh for 5 minutes in the early afternoon.\"\n2389,2010/09/17,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n2390,2010/09/17,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n2391,2010/09/18,I did running on 2010/09/18.,I did running on 2010/09/18.\n2392,2010/09/18,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n2393,2010/09/18,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n2394,2010/09/18,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n2395,2010/09/18,\"I talked to Hazel, Claire for 25 minutes late in the evening.\",\"I talked to Hazel, Claire for 25 minutes late in the evening.\"\n2396,2010/09/18,I spent 14 talking to Rylee on various topics in the early evening.,I spent 14 talking to Rylee on various topics in the early evening.\n2397,2010/09/18,\"I spent 55 talking to Rylee, Olivia on various topics in the early evening.\",\"I spent 55 talking to Rylee, Olivia on various topics in the early evening.\"\n2398,2010/09/18,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n2399,2010/09/18,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n2400,2010/09/19,\"I went grocery shopping with Hazel. I bought some guava, apples, blueberries, guava juice, pineapple juice, orange juice, chocolate milk, and mouth wash\",\"I went grocery shopping with Hazel. I bought some guava, apples, blueberries, guava juice, pineapple juice, orange juice, chocolate milk, and mouth wash\"\n2401,2010/09/19,I did HIIT on 2010/09/19.,I did HIIT on 2010/09/19.\n2402,2010/09/19,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n2403,2010/09/19,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n2404,2010/09/19,I ate pasta for dinner.,I ate pasta for dinner.\n2405,2010/09/19,\"I talked to Nevaeh, Eva for 24 minutes in the late afternoon.\",\"I talked to Nevaeh, Eva for 24 minutes in the late afternoon.\"\n2406,2010/09/19,\"I spent 39 talking to Kinsley, Eva, Piper, Nora on various topics in the morning.\",\"I spent 39 talking to Kinsley, Eva, Piper, Nora on various topics in the morning.\"\n2407,2010/09/19,\"I spent 26 talking to Lydia, Nevaeh, Piper on various topics in the early evening.\",\"I spent 26 talking to Lydia, Nevaeh, Piper on various topics in the early evening.\"\n2408,2010/09/19,\"I spent 10 talking to Eva, Rylee on various topics in the early evening.\",\"I spent 10 talking to Eva, Rylee on various topics in the early evening.\"\n2409,2010/09/19,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n2410,2010/09/19,I watched a movie for 20 minutes on TV today.,I watched a movie for 20 minutes on TV today.\n2411,2010/09/20,\"On 2010/09/20, I took Sophia on a date to a boba shop\",\"On 2010/09/20, I took Sophia on a date to a boba shop\"\n2412,2010/09/20,I did running on 2010/09/20.,I did running on 2010/09/20.\n2413,2010/09/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n2414,2010/09/20,I ate indian food for lunch.,I ate indian food for lunch.\n2415,2010/09/20,\"I had sandwich for dinner with Avery, Benjamin, Willow\",\"I had sandwich for dinner with Avery, Benjamin, Willow\"\n2416,2010/09/20,\"I talked to Piper, Rylee, Olivia for 33 minutes in the morning.\",\"I talked to Piper, Rylee, Olivia for 33 minutes in the morning.\"\n2417,2010/09/20,I spent 52 talking to Eva on various topics in the late afternoon.,I spent 52 talking to Eva on various topics in the late afternoon.\n2418,2010/09/20,\"I talked to Piper, Lydia, Nora for 7 minutes in the morning.\",\"I talked to Piper, Lydia, Nora for 7 minutes in the morning.\"\n2419,2010/09/20,\"I spent 21 talking to Nevaeh, Claire on various topics during lunch hours.\",\"I spent 21 talking to Nevaeh, Claire on various topics during lunch hours.\"\n2420,2010/09/20,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n2421,2010/09/20,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n2422,2010/09/21,\"I went grocery shopping with Willow. I bought some apricots, tea, sports drinks, chocolate milk, and shaving cream, toothbrush, toilet paper\",\"I went grocery shopping with Willow. I bought some apricots, tea, sports drinks, chocolate milk, and shaving cream, toothbrush, toilet paper\"\n2423,2010/09/21,I did HIIT on 2010/09/21.,I did HIIT on 2010/09/21.\n2424,2010/09/21,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n2425,2010/09/21,I prepare sushi for lunch.,I prepare sushi for lunch.\n2426,2010/09/21,\"I had tacos for dinner with Carter, Emily, Andrew\",\"I had tacos for dinner with Carter, Emily, Andrew\"\n2427,2010/09/21,\"I spent 18 talking to Piper, Kinsley, Hazel on various topics late in the evening.\",\"I spent 18 talking to Piper, Kinsley, Hazel on various topics late in the evening.\"\n2428,2010/09/21,I talked to Nevaeh for 45 minutes late in the evening.,I talked to Nevaeh for 45 minutes late in the evening.\n2429,2010/09/21,\"I talked to Hazel, Nevaeh, Piper for 35 minutes during lunch hours.\",\"I talked to Hazel, Nevaeh, Piper for 35 minutes during lunch hours.\"\n2430,2010/09/21,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n2431,2010/09/21,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n2432,2010/09/22,I did running on 2010/09/22.,I did running on 2010/09/22.\n2433,2010/09/22,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n2434,2010/09/22,\"I had pasta for lunch with Carter, Emily, Kayden, Andrew\",\"I had pasta for lunch with Carter, Emily, Kayden, Andrew\"\n2435,2010/09/22,\"I had dinner with Andrew, Emily, Carter. I ate tacos.\",\"I had dinner with Andrew, Emily, Carter. I ate tacos.\"\n2436,2010/09/22,\"I talked to Lydia, Nora, Piper for 45 minutes in the early evening.\",\"I talked to Lydia, Nora, Piper for 45 minutes in the early evening.\"\n2437,2010/09/22,\"I spent 35 talking to Piper, Claire, Rylee on various topics in the early evening.\",\"I spent 35 talking to Piper, Claire, Rylee on various topics in the early evening.\"\n2438,2010/09/22,\"I talked to Lydia, Rylee, Piper, Nora for 13 minutes during lunch hours.\",\"I talked to Lydia, Rylee, Piper, Nora for 13 minutes during lunch hours.\"\n2439,2010/09/22,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n2440,2010/09/22,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n2441,2010/09/23,I did swimming on 2010/09/23.,I did swimming on 2010/09/23.\n2442,2010/09/23,\"I had breakfast with Olivia, Avery, Lydia, Nora, Piper. I ate cereals.\",\"I had breakfast with Olivia, Avery, Lydia, Nora, Piper. I ate cereals.\"\n2443,2010/09/23,I ate chinese food for lunch.,I ate chinese food for lunch.\n2444,2010/09/23,\"I had dinner with Layla, Hazel, Eva, Nevaeh. I ate steak.\",\"I had dinner with Layla, Hazel, Eva, Nevaeh. I ate steak.\"\n2445,2010/09/23,I talked to Nora for 39 minutes in the late afternoon.,I talked to Nora for 39 minutes in the late afternoon.\n2446,2010/09/23,\"I talked to Piper, Hazel, Eva, Kinsley for 15 minutes in the early evening.\",\"I talked to Piper, Hazel, Eva, Kinsley for 15 minutes in the early evening.\"\n2447,2010/09/23,\"I spent 21 talking to Eva, Claire, Avery on various topics in the morning.\",\"I spent 21 talking to Eva, Claire, Avery on various topics in the morning.\"\n2448,2010/09/23,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n2449,2010/09/23,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n2450,2010/09/24,I did running on 2010/09/24.,I did running on 2010/09/24.\n2451,2010/09/24,\"I had peanut-butter-jam for breakfast with Piper, Layla, Lydia, Olivia\",\"I had peanut-butter-jam for breakfast with Piper, Layla, Lydia, Olivia\"\n2452,2010/09/24,\"I had fish and chips for lunch with Carter, Emily\",\"I had fish and chips for lunch with Carter, Emily\"\n2453,2010/09/24,I had dinner with Layla. I ate tacos.,I had dinner with Layla. I ate tacos.\n2454,2010/09/24,\"I talked to Nevaeh, Piper, Claire, Olivia for 10 minutes in the early evening.\",\"I talked to Nevaeh, Piper, Claire, Olivia for 10 minutes in the early evening.\"\n2455,2010/09/24,\"I talked to Nora, Eva, Nevaeh, Piper for 39 minutes in the morning.\",\"I talked to Nora, Eva, Nevaeh, Piper for 39 minutes in the morning.\"\n2456,2010/09/24,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n2457,2010/09/24,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n2458,2010/09/25,\"On 2010/09/25, I took Nicholas on a date to a coffee Shop\",\"On 2010/09/25, I took Nicholas on a date to a coffee Shop\"\n2459,2010/09/25,\"I bought some mandarins, pears, mango juice, facial wash, toothpaste, toothbrush, toilet paper online.\",\"I bought some mandarins, pears, mango juice, facial wash, toothpaste, toothbrush, toilet paper online.\"\n2460,2010/09/25,I did weight lifting on 2010/09/25.,I did weight lifting on 2010/09/25.\n2461,2010/09/25,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2462,2010/09/25,\"I had lunch with Benjamin, Jackson, Avery, Willow. I ate pasta.\",\"I had lunch with Benjamin, Jackson, Avery, Willow. I ate pasta.\"\n2463,2010/09/25,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n2464,2010/09/25,\"I spent 45 talking to Nevaeh, Rylee, Lydia, Eva on various topics in the late afternoon.\",\"I spent 45 talking to Nevaeh, Rylee, Lydia, Eva on various topics in the late afternoon.\"\n2465,2010/09/25,I talked to Eva for 10 minutes in the late afternoon.,I talked to Eva for 10 minutes in the late afternoon.\n2466,2010/09/25,\"I talked to Nora, Nevaeh, Eva for 37 minutes late in the evening.\",\"I talked to Nora, Nevaeh, Eva for 37 minutes late in the evening.\"\n2467,2010/09/25,\"I spent 30 talking to Piper, Avery on various topics in the late afternoon.\",\"I spent 30 talking to Piper, Avery on various topics in the late afternoon.\"\n2468,2010/09/25,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n2469,2010/09/25,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n2470,2010/09/26,I did running on 2010/09/26.,I did running on 2010/09/26.\n2471,2010/09/26,\"I had breakfast with Willow, Jackson, Avery. I ate oatmeal.\",\"I had breakfast with Willow, Jackson, Avery. I ate oatmeal.\"\n2472,2010/09/26,\"I had indian food for lunch with Lydia, Kinsley, Piper, Rylee, Hazel, Eva, Layla, Olivia, Nevaeh, Avery, Claire\",\"I had indian food for lunch with Lydia, Kinsley, Piper, Rylee, Hazel, Eva, Layla, Olivia, Nevaeh, Avery, Claire\"\n2473,2010/09/26,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n2474,2010/09/26,\"I talked to Avery, Olivia, Nevaeh, Piper for 30 minutes in the late afternoon.\",\"I talked to Avery, Olivia, Nevaeh, Piper for 30 minutes in the late afternoon.\"\n2475,2010/09/26,\"I spent 21 talking to Rylee, Hazel, Nevaeh, Avery on various topics in the early afternoon.\",\"I spent 21 talking to Rylee, Hazel, Nevaeh, Avery on various topics in the early afternoon.\"\n2476,2010/09/26,\"I spent 7 talking to Kinsley, Nevaeh on various topics during lunch hours.\",\"I spent 7 talking to Kinsley, Nevaeh on various topics during lunch hours.\"\n2477,2010/09/26,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n2478,2010/09/26,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n2479,2010/09/27,I did biking on 2010/09/27.,I did biking on 2010/09/27.\n2480,2010/09/27,\"I had eggs, sausages, and bread for breakfast with Rylee, Olivia, Piper, Eva, Claire, Nevaeh, Nora, Kinsley, Hazel\",\"I had eggs, sausages, and bread for breakfast with Rylee, Olivia, Piper, Eva, Claire, Nevaeh, Nora, Kinsley, Hazel\"\n2481,2010/09/27,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n2482,2010/09/27,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n2483,2010/09/27,\"I talked to Nora, Hazel for 9 minutes in the late afternoon.\",\"I talked to Nora, Hazel for 9 minutes in the late afternoon.\"\n2484,2010/09/27,\"I talked to Layla, Piper, Nora, Olivia for 37 minutes late in the evening.\",\"I talked to Layla, Piper, Nora, Olivia for 37 minutes late in the evening.\"\n2485,2010/09/27,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n2486,2010/09/27,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n2487,2010/09/28,I went for an annual dental cleaning and checkup on 2010/09/28 at the hospital.,I went for an annual dental cleaning and checkup on 2010/09/28 at the hospital.\n2488,2010/09/28,\"I spent time learning a language on 2010/09/28 with Emily, Andrew.\",\"I spent time learning a language on 2010/09/28 with Emily, Andrew.\"\n2489,2010/09/28,\"I went grocery shopping with Carter, Kayden, Andrew. I bought some raspberries, guava, bananas, watermelons, tea, chocolate milk, mineral water, apple juice, and facial wash, mouthwash, toilet paper\",\"I went grocery shopping with Carter, Kayden, Andrew. I bought some raspberries, guava, bananas, watermelons, tea, chocolate milk, mineral water, apple juice, and facial wash, mouthwash, toilet paper\"\n2490,2010/09/28,I did HIIT on 2010/09/28.,I did HIIT on 2010/09/28.\n2491,2010/09/28,\"I had breakfast with Kayden, Carter, Andrew, Emily. I ate oatmeal.\",\"I had breakfast with Kayden, Carter, Andrew, Emily. I ate oatmeal.\"\n2492,2010/09/28,I ate a burger for lunch.,I ate a burger for lunch.\n2493,2010/09/28,I had chinese food for dinner with Emily,I had chinese food for dinner with Emily\n2494,2010/09/28,\"I talked to Claire, Piper, Kinsley, Eva for 32 minutes in the morning.\",\"I talked to Claire, Piper, Kinsley, Eva for 32 minutes in the morning.\"\n2495,2010/09/28,\"I spent 34 talking to Nora, Lydia, Layla, Eva on various topics in the late afternoon.\",\"I spent 34 talking to Nora, Lydia, Layla, Eva on various topics in the late afternoon.\"\n2496,2010/09/28,\"I spent 16 talking to Piper, Nora, Kinsley on various topics late in the evening.\",\"I spent 16 talking to Piper, Nora, Kinsley on various topics late in the evening.\"\n2497,2010/09/28,\"I spent 14 talking to Piper, Avery, Kinsley on various topics in the early evening.\",\"I spent 14 talking to Piper, Avery, Kinsley on various topics in the early evening.\"\n2498,2010/09/28,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n2499,2010/09/28,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n2500,2010/09/29,I did hiking on 2010/09/29.,I did hiking on 2010/09/29.\n2501,2010/09/29,\"I had breakfast with Layla, Claire, Piper, Avery, Piper, Rylee, Hazel, Nora. I ate pancakes.\",\"I had breakfast with Layla, Claire, Piper, Avery, Piper, Rylee, Hazel, Nora. I ate pancakes.\"\n2502,2010/09/29,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n2503,2010/09/29,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n2504,2010/09/29,I talked to Layla for 17 minutes in the early afternoon.,I talked to Layla for 17 minutes in the early afternoon.\n2505,2010/09/29,\"I spent 30 talking to Eva, Hazel, Layla on various topics in the morning.\",\"I spent 30 talking to Eva, Hazel, Layla on various topics in the morning.\"\n2506,2010/09/29,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n2507,2010/09/29,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n2508,2010/09/30,I did biking on 2010/09/30.,I did biking on 2010/09/30.\n2509,2010/09/30,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n2510,2010/09/30,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n2511,2010/09/30,\"I had dinner with Olivia, Piper, Layla, Claire, Kinsley, Eva, Hazel, Rylee, Nora, Piper, Lydia, Nevaeh. I ate sandwich.\",\"I had dinner with Olivia, Piper, Layla, Claire, Kinsley, Eva, Hazel, Rylee, Nora, Piper, Lydia, Nevaeh. I ate sandwich.\"\n2512,2010/09/30,\"I talked to Piper, Avery, Lydia for 22 minutes in the early afternoon.\",\"I talked to Piper, Avery, Lydia for 22 minutes in the early afternoon.\"\n2513,2010/09/30,\"I talked to Nevaeh, Layla, Nora, Hazel for 50 minutes in the early afternoon.\",\"I talked to Nevaeh, Layla, Nora, Hazel for 50 minutes in the early afternoon.\"\n2514,2010/09/30,\"I spent 14 talking to Claire, Rylee, Eva on various topics in the late afternoon.\",\"I spent 14 talking to Claire, Rylee, Eva on various topics in the late afternoon.\"\n2515,2010/09/30,I spent 47 talking to Claire on various topics late in the evening.,I spent 47 talking to Claire on various topics late in the evening.\n2516,2010/09/30,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n2517,2010/09/30,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n2518,2010/10/01,I went on a date with Hazel on 2010/10/01 at a coffee Shop,I went on a date with Hazel on 2010/10/01 at a coffee Shop\n2519,2010/10/01,I did weight lifting on 2010/10/01.,I did weight lifting on 2010/10/01.\n2520,2010/10/01,\"I had breakfast with Rylee, Eva. I ate toast and cheese.\",\"I had breakfast with Rylee, Eva. I ate toast and cheese.\"\n2521,2010/10/01,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n2522,2010/10/01,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n2523,2010/10/01,\"I spent 25 talking to Eva, Layla on various topics in the late afternoon.\",\"I spent 25 talking to Eva, Layla on various topics in the late afternoon.\"\n2524,2010/10/01,\"I talked to Nora, Rylee for 44 minutes in the early evening.\",\"I talked to Nora, Rylee for 44 minutes in the early evening.\"\n2525,2010/10/01,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n2526,2010/10/01,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n2527,2010/10/02,I did running on 2010/10/02.,I did running on 2010/10/02.\n2528,2010/10/02,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n2529,2010/10/02,\"I had a burger for lunch with Jackson, Willow, Avery\",\"I had a burger for lunch with Jackson, Willow, Avery\"\n2530,2010/10/02,I prepare pasta for dinner.,I prepare pasta for dinner.\n2531,2010/10/02,\"I talked to Nora, Piper for 21 minutes in the late afternoon.\",\"I talked to Nora, Piper for 21 minutes in the late afternoon.\"\n2532,2010/10/02,\"I spent 30 talking to Olivia, Nora on various topics in the early afternoon.\",\"I spent 30 talking to Olivia, Nora on various topics in the early afternoon.\"\n2533,2010/10/02,\"I talked to Nevaeh, Rylee for 9 minutes during lunch hours.\",\"I talked to Nevaeh, Rylee for 9 minutes during lunch hours.\"\n2534,2010/10/02,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n2535,2010/10/02,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n2536,2010/10/03,\"I spent time yoga on 2010/10/03 with Olivia, Piper, Claire.\",\"I spent time yoga on 2010/10/03 with Olivia, Piper, Claire.\"\n2537,2010/10/03,\"I went grocery shopping with Claire, Piper, Nevaeh, Olivia, Rylee, Nora, Lydia, Kinsley, Layla, Hazel, Eva, Avery. I bought some apples, apricots, chocolate milk, milk, tea, sports drinks, and conditioner, body lotion\",\"I went grocery shopping with Claire, Piper, Nevaeh, Olivia, Rylee, Nora, Lydia, Kinsley, Layla, Hazel, Eva, Avery. I bought some apples, apricots, chocolate milk, milk, tea, sports drinks, and conditioner, body lotion\"\n2538,2010/10/03,I did swimming on 2010/10/03.,I did swimming on 2010/10/03.\n2539,2010/10/03,\"I had toast and cheese for breakfast with Kayden, Andrew, Emily, Carter\",\"I had toast and cheese for breakfast with Kayden, Andrew, Emily, Carter\"\n2540,2010/10/03,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n2541,2010/10/03,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n2542,2010/10/03,\"I talked to Olivia, Nora, Avery, Nevaeh for 55 minutes in the morning.\",\"I talked to Olivia, Nora, Avery, Nevaeh for 55 minutes in the morning.\"\n2543,2010/10/03,\"I talked to Eva, Nevaeh, Nora, Rylee for 46 minutes in the late afternoon.\",\"I talked to Eva, Nevaeh, Nora, Rylee for 46 minutes in the late afternoon.\"\n2544,2010/10/03,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n2545,2010/10/03,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n2546,2010/10/04,I did HIIT on 2010/10/04.,I did HIIT on 2010/10/04.\n2547,2010/10/04,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2548,2010/10/04,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n2549,2010/10/04,I ate sushi for dinner.,I ate sushi for dinner.\n2550,2010/10/04,\"I talked to Rylee, Piper for 14 minutes during lunch hours.\",\"I talked to Rylee, Piper for 14 minutes during lunch hours.\"\n2551,2010/10/04,I talked to Piper for 32 minutes in the late afternoon.,I talked to Piper for 32 minutes in the late afternoon.\n2552,2010/10/04,\"I talked to Kinsley, Rylee, Piper, Layla for 20 minutes in the morning.\",\"I talked to Kinsley, Rylee, Piper, Layla for 20 minutes in the morning.\"\n2553,2010/10/04,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n2554,2010/10/04,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n2555,2010/10/05,I did HIIT on 2010/10/05.,I did HIIT on 2010/10/05.\n2556,2010/10/05,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n2557,2010/10/05,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n2558,2010/10/05,I ate tacos for dinner.,I ate tacos for dinner.\n2559,2010/10/05,\"I talked to Rylee, Kinsley, Layla for 33 minutes in the morning.\",\"I talked to Rylee, Kinsley, Layla for 33 minutes in the morning.\"\n2560,2010/10/05,\"I talked to Rylee, Lydia, Piper for 18 minutes in the early afternoon.\",\"I talked to Rylee, Lydia, Piper for 18 minutes in the early afternoon.\"\n2561,2010/10/05,I talked to Lydia for 14 minutes late in the evening.,I talked to Lydia for 14 minutes late in the evening.\n2562,2010/10/05,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n2563,2010/10/05,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n2564,2010/10/06,I did biking on 2010/10/06.,I did biking on 2010/10/06.\n2565,2010/10/06,\"I had breakfast with Piper, Olivia, Nora, Lydia, Claire, Piper, Avery, Kinsley. I ate cereals.\",\"I had breakfast with Piper, Olivia, Nora, Lydia, Claire, Piper, Avery, Kinsley. I ate cereals.\"\n2566,2010/10/06,I ate indian food for lunch.,I ate indian food for lunch.\n2567,2010/10/06,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n2568,2010/10/06,\"I talked to Olivia, Layla, Eva, Rylee for 48 minutes in the early evening.\",\"I talked to Olivia, Layla, Eva, Rylee for 48 minutes in the early evening.\"\n2569,2010/10/06,\"I talked to Kinsley, Eva, Piper, Nevaeh for 41 minutes in the late afternoon.\",\"I talked to Kinsley, Eva, Piper, Nevaeh for 41 minutes in the late afternoon.\"\n2570,2010/10/06,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n2571,2010/10/06,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n2572,2010/10/07,\"On 2010/10/07, I took Caleb on a date to a restaurant\",\"On 2010/10/07, I took Caleb on a date to a restaurant\"\n2573,2010/10/07,\"I went grocery shopping. I bought some cherres, blueberries, mango juice, milk, mineral water, and toothbrush, paper towel\",\"I went grocery shopping. I bought some cherres, blueberries, mango juice, milk, mineral water, and toothbrush, paper towel\"\n2574,2010/10/07,I did hiking on 2010/10/07.,I did hiking on 2010/10/07.\n2575,2010/10/07,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2576,2010/10/07,I prepare tacos for lunch.,I prepare tacos for lunch.\n2577,2010/10/07,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n2578,2010/10/07,\"I spent 45 talking to Rylee, Eva, Lydia, Piper on various topics late in the evening.\",\"I spent 45 talking to Rylee, Eva, Lydia, Piper on various topics late in the evening.\"\n2579,2010/10/07,\"I talked to Lydia, Rylee for 55 minutes late in the evening.\",\"I talked to Lydia, Rylee for 55 minutes late in the evening.\"\n2580,2010/10/07,I spent 12 talking to Eva on various topics during lunch hours.,I spent 12 talking to Eva on various topics during lunch hours.\n2581,2010/10/07,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n2582,2010/10/07,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n2583,2010/10/08,I did weight lifting on 2010/10/08.,I did weight lifting on 2010/10/08.\n2584,2010/10/08,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n2585,2010/10/08,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n2586,2010/10/08,I ate chinese food for dinner.,I ate chinese food for dinner.\n2587,2010/10/08,I talked to Nora for 39 minutes in the early afternoon.,I talked to Nora for 39 minutes in the early afternoon.\n2588,2010/10/08,\"I talked to Eva, Olivia, Avery for 34 minutes in the early afternoon.\",\"I talked to Eva, Olivia, Avery for 34 minutes in the early afternoon.\"\n2589,2010/10/08,\"I talked to Kinsley, Nora, Olivia, Rylee for 31 minutes in the late afternoon.\",\"I talked to Kinsley, Nora, Olivia, Rylee for 31 minutes in the late afternoon.\"\n2590,2010/10/08,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n2591,2010/10/08,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n2592,2010/10/09,\"I bought some peaches, milk, toilet paper, mouth wash, shaving cream from the grocery store. I saw Kayden, Emily, Andrew at the grocery store.\",\"I bought some peaches, milk, toilet paper, mouth wash, shaving cream from the grocery store. I saw Kayden, Emily, Andrew at the grocery store.\"\n2593,2010/10/09,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n2594,2010/10/09,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n2595,2010/10/09,I had dinner. I ate steak.,I had dinner. I ate steak.\n2596,2010/10/09,\"I spent 11 talking to Olivia, Piper, Lydia on various topics in the late afternoon.\",\"I spent 11 talking to Olivia, Piper, Lydia on various topics in the late afternoon.\"\n2597,2010/10/09,I spent 12 talking to Olivia on various topics in the late afternoon.,I spent 12 talking to Olivia on various topics in the late afternoon.\n2598,2010/10/09,\"I talked to Avery, Nora, Piper for 30 minutes in the early afternoon.\",\"I talked to Avery, Nora, Piper for 30 minutes in the early afternoon.\"\n2599,2010/10/09,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n2600,2010/10/09,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n2601,2010/10/10,I did swimming on 2010/10/10.,I did swimming on 2010/10/10.\n2602,2010/10/10,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n2603,2010/10/10,\"I had steak for lunch with Kayden, Carter, Emily, Andrew\",\"I had steak for lunch with Kayden, Carter, Emily, Andrew\"\n2604,2010/10/10,\"I had steak for dinner with Andrew, Carter\",\"I had steak for dinner with Andrew, Carter\"\n2605,2010/10/10,\"I spent 44 talking to Olivia, Eva, Piper, Avery on various topics in the early evening.\",\"I spent 44 talking to Olivia, Eva, Piper, Avery on various topics in the early evening.\"\n2606,2010/10/10,\"I spent 40 talking to Nora, Lydia, Piper on various topics in the late afternoon.\",\"I spent 40 talking to Nora, Lydia, Piper on various topics in the late afternoon.\"\n2607,2010/10/10,I spent 7 talking to Piper on various topics late in the evening.,I spent 7 talking to Piper on various topics late in the evening.\n2608,2010/10/10,\"I talked to Nevaeh, Hazel, Layla, Claire for 50 minutes late in the evening.\",\"I talked to Nevaeh, Hazel, Layla, Claire for 50 minutes late in the evening.\"\n2609,2010/10/10,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n2610,2010/10/10,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n2611,2010/10/11,I did running on 2010/10/11.,I did running on 2010/10/11.\n2612,2010/10/11,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n2613,2010/10/11,\"I had lunch with Hazel, Layla, Avery, Olivia, Nora, Rylee, Claire, Nevaeh, Piper, Eva, Lydia. I ate pasta.\",\"I had lunch with Hazel, Layla, Avery, Olivia, Nora, Rylee, Claire, Nevaeh, Piper, Eva, Lydia. I ate pasta.\"\n2614,2010/10/11,\"I had dinner with Andrew, Kayden, Carter, Emily. I ate tacos.\",\"I had dinner with Andrew, Kayden, Carter, Emily. I ate tacos.\"\n2615,2010/10/11,\"I spent 15 talking to Lydia, Avery on various topics in the morning.\",\"I spent 15 talking to Lydia, Avery on various topics in the morning.\"\n2616,2010/10/11,I spent 39 talking to Claire on various topics in the morning.,I spent 39 talking to Claire on various topics in the morning.\n2617,2010/10/11,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n2618,2010/10/11,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n2619,2010/10/12,I did weight lifting on 2010/10/12.,I did weight lifting on 2010/10/12.\n2620,2010/10/12,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2621,2010/10/12,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n2622,2010/10/12,I prepare pasta for dinner.,I prepare pasta for dinner.\n2623,2010/10/12,I talked to Piper for 38 minutes during lunch hours.,I talked to Piper for 38 minutes during lunch hours.\n2624,2010/10/12,\"I talked to Claire, Rylee, Kinsley for 7 minutes in the early afternoon.\",\"I talked to Claire, Rylee, Kinsley for 7 minutes in the early afternoon.\"\n2625,2010/10/12,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n2626,2010/10/12,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n2627,2010/10/13,\"On 2010/10/13, I took Eliana on a date to a coffee Shop\",\"On 2010/10/13, I took Eliana on a date to a coffee Shop\"\n2628,2010/10/13,\"I bought some pineapples, raspberries, sports drinks, guava juice, coffee, facial wash, conditioner from the grocery store. I saw Piper, Claire, Piper, Nora, Olivia, Nevaeh, Lydia, Avery, Eva at the grocery store.\",\"I bought some pineapples, raspberries, sports drinks, guava juice, coffee, facial wash, conditioner from the grocery store. I saw Piper, Claire, Piper, Nora, Olivia, Nevaeh, Lydia, Avery, Eva at the grocery store.\"\n2629,2010/10/13,I did hiking on 2010/10/13.,I did hiking on 2010/10/13.\n2630,2010/10/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n2631,2010/10/13,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n2632,2010/10/13,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n2633,2010/10/13,I spent 23 talking to Rylee on various topics in the late afternoon.,I spent 23 talking to Rylee on various topics in the late afternoon.\n2634,2010/10/13,\"I talked to Nora, Hazel, Nevaeh for 37 minutes late in the evening.\",\"I talked to Nora, Hazel, Nevaeh for 37 minutes late in the evening.\"\n2635,2010/10/13,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n2636,2010/10/13,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n2637,2010/10/14,I did running on 2010/10/14.,I did running on 2010/10/14.\n2638,2010/10/14,\"I had pancakes for breakfast with Kayden, Carter\",\"I had pancakes for breakfast with Kayden, Carter\"\n2639,2010/10/14,\"I had sandwich for lunch with Hazel, Rylee, Eva, Piper, Kinsley, Claire, Piper\",\"I had sandwich for lunch with Hazel, Rylee, Eva, Piper, Kinsley, Claire, Piper\"\n2640,2010/10/14,\"I had sandwich for dinner with Nora, Claire, Hazel\",\"I had sandwich for dinner with Nora, Claire, Hazel\"\n2641,2010/10/14,I spent 11 talking to Hazel on various topics during lunch hours.,I spent 11 talking to Hazel on various topics during lunch hours.\n2642,2010/10/14,\"I spent 19 talking to Rylee, Eva, Nora on various topics in the early evening.\",\"I spent 19 talking to Rylee, Eva, Nora on various topics in the early evening.\"\n2643,2010/10/14,\"I talked to Layla, Piper, Piper, Nevaeh for 28 minutes in the early afternoon.\",\"I talked to Layla, Piper, Piper, Nevaeh for 28 minutes in the early afternoon.\"\n2644,2010/10/14,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n2645,2010/10/14,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n2646,2010/10/15,I went on a date with Mike on 2010/10/15 at a coffee Shop,I went on a date with Mike on 2010/10/15 at a coffee Shop\n2647,2010/10/15,\"I bought some apricots, nectarines, strawberries, coffee, sports drinks, apple juice, mango juice, facial wash, toothpaste, shampoo online.\",\"I bought some apricots, nectarines, strawberries, coffee, sports drinks, apple juice, mango juice, facial wash, toothpaste, shampoo online.\"\n2648,2010/10/15,I did HIIT on 2010/10/15.,I did HIIT on 2010/10/15.\n2649,2010/10/15,I ate cereals for breakfast.,I ate cereals for breakfast.\n2650,2010/10/15,\"I had lunch with Benjamin, Willow, Avery, Jackson. I ate steak.\",\"I had lunch with Benjamin, Willow, Avery, Jackson. I ate steak.\"\n2651,2010/10/15,\"I had chinese food for dinner with Jackson, Avery, Benjamin\",\"I had chinese food for dinner with Jackson, Avery, Benjamin\"\n2652,2010/10/15,I spent 50 talking to Kinsley on various topics in the late afternoon.,I spent 50 talking to Kinsley on various topics in the late afternoon.\n2653,2010/10/15,\"I spent 53 talking to Eva, Lydia, Rylee on various topics in the morning.\",\"I spent 53 talking to Eva, Lydia, Rylee on various topics in the morning.\"\n2654,2010/10/15,\"I spent 8 talking to Eva, Avery, Piper on various topics in the early evening.\",\"I spent 8 talking to Eva, Avery, Piper on various topics in the early evening.\"\n2655,2010/10/15,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n2656,2010/10/15,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n2657,2010/10/16,I really enjoyed working out on 2010/10/16,I really enjoyed working out on 2010/10/16\n2658,2010/10/16,I did swimming on 2010/10/16.,I did swimming on 2010/10/16.\n2659,2010/10/16,\"I had eggs, sausages, and bread for breakfast with Hazel, Rylee, Avery\",\"I had eggs, sausages, and bread for breakfast with Hazel, Rylee, Avery\"\n2660,2010/10/16,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n2661,2010/10/16,I prepare a burger for dinner.,I prepare a burger for dinner.\n2662,2010/10/16,\"I talked to Piper, Layla for 33 minutes late in the evening.\",\"I talked to Piper, Layla for 33 minutes late in the evening.\"\n2663,2010/10/16,\"I talked to Kinsley, Olivia, Piper for 23 minutes in the late afternoon.\",\"I talked to Kinsley, Olivia, Piper for 23 minutes in the late afternoon.\"\n2664,2010/10/16,\"I spent 43 talking to Claire, Nora, Piper on various topics late in the evening.\",\"I spent 43 talking to Claire, Nora, Piper on various topics late in the evening.\"\n2665,2010/10/16,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n2666,2010/10/16,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n2667,2010/10/17,\"I had breakfast with Hazel, Piper, Lydia, Rylee, Piper, Olivia. I ate cereals.\",\"I had breakfast with Hazel, Piper, Lydia, Rylee, Piper, Olivia. I ate cereals.\"\n2668,2010/10/17,I had indian food for lunch with Carter,I had indian food for lunch with Carter\n2669,2010/10/17,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n2670,2010/10/17,I talked to Nevaeh for 24 minutes during lunch hours.,I talked to Nevaeh for 24 minutes during lunch hours.\n2671,2010/10/17,I talked to Claire for 20 minutes in the late afternoon.,I talked to Claire for 20 minutes in the late afternoon.\n2672,2010/10/17,I spent 9 talking to Nevaeh on various topics during lunch hours.,I spent 9 talking to Nevaeh on various topics during lunch hours.\n2673,2010/10/17,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n2674,2010/10/17,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n2675,2010/10/18,I did HIIT on 2010/10/18.,I did HIIT on 2010/10/18.\n2676,2010/10/18,\"I had breakfast with Carter, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Kayden. I ate eggs, sausages, and bread.\"\n2677,2010/10/18,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n2678,2010/10/18,I prepare sushi for dinner.,I prepare sushi for dinner.\n2679,2010/10/18,I talked to Hazel for 17 minutes in the early evening.,I talked to Hazel for 17 minutes in the early evening.\n2680,2010/10/18,\"I talked to Olivia, Nora, Claire, Piper for 6 minutes during lunch hours.\",\"I talked to Olivia, Nora, Claire, Piper for 6 minutes during lunch hours.\"\n2681,2010/10/18,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n2682,2010/10/18,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n2683,2010/10/19,I did swimming on 2010/10/19.,I did swimming on 2010/10/19.\n2684,2010/10/19,\"I had peanut-butter-jam for breakfast with Carter, Kayden, Andrew, Emily\",\"I had peanut-butter-jam for breakfast with Carter, Kayden, Andrew, Emily\"\n2685,2010/10/19,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n2686,2010/10/19,I prepare steak for dinner.,I prepare steak for dinner.\n2687,2010/10/19,\"I talked to Eva, Avery, Rylee, Claire for 33 minutes in the early evening.\",\"I talked to Eva, Avery, Rylee, Claire for 33 minutes in the early evening.\"\n2688,2010/10/19,\"I spent 19 talking to Olivia, Avery, Nora on various topics in the late afternoon.\",\"I spent 19 talking to Olivia, Avery, Nora on various topics in the late afternoon.\"\n2689,2010/10/19,\"I talked to Eva, Nora for 31 minutes in the early evening.\",\"I talked to Eva, Nora for 31 minutes in the early evening.\"\n2690,2010/10/19,\"I talked to Hazel, Avery for 25 minutes in the late afternoon.\",\"I talked to Hazel, Avery for 25 minutes in the late afternoon.\"\n2691,2010/10/19,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n2692,2010/10/19,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n2693,2010/10/20,\"I went grocery shopping with Olivia, Nevaeh, Rylee, Layla, Claire, Piper, Piper. I bought some pineapples, sports drinks, pineapple juice, and toothbrush, toilet paper, facial wash\",\"I went grocery shopping with Olivia, Nevaeh, Rylee, Layla, Claire, Piper, Piper. I bought some pineapples, sports drinks, pineapple juice, and toothbrush, toilet paper, facial wash\"\n2694,2010/10/20,I did running on 2010/10/20.,I did running on 2010/10/20.\n2695,2010/10/20,\"I had breakfast with Claire, Eva. I ate eggs, sausages, and bread.\",\"I had breakfast with Claire, Eva. I ate eggs, sausages, and bread.\"\n2696,2010/10/20,\"I had lunch with Kayden, Andrew, Emily, Carter. I ate sushi.\",\"I had lunch with Kayden, Andrew, Emily, Carter. I ate sushi.\"\n2697,2010/10/20,I had dinner with Andrew. I ate fish and chips.,I had dinner with Andrew. I ate fish and chips.\n2698,2010/10/20,\"I spent 40 talking to Olivia, Claire, Piper, Hazel on various topics late in the evening.\",\"I spent 40 talking to Olivia, Claire, Piper, Hazel on various topics late in the evening.\"\n2699,2010/10/20,\"I spent 36 talking to Kinsley, Hazel, Olivia, Layla on various topics during lunch hours.\",\"I spent 36 talking to Kinsley, Hazel, Olivia, Layla on various topics during lunch hours.\"\n2700,2010/10/20,I talked to Eva for 24 minutes during lunch hours.,I talked to Eva for 24 minutes during lunch hours.\n2701,2010/10/20,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n2702,2010/10/20,I spent 6 minutes watching a movie on TV today.,I spent 6 minutes watching a movie on TV today.\n2703,2010/10/21,I did weight lifting on 2010/10/21.,I did weight lifting on 2010/10/21.\n2704,2010/10/21,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n2705,2010/10/21,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n2706,2010/10/21,I ate indian food for dinner.,I ate indian food for dinner.\n2707,2010/10/21,I spent 17 talking to Claire on various topics late in the evening.,I spent 17 talking to Claire on various topics late in the evening.\n2708,2010/10/21,I talked to Hazel for 6 minutes in the early afternoon.,I talked to Hazel for 6 minutes in the early afternoon.\n2709,2010/10/21,\"I talked to Rylee, Piper for 54 minutes in the early evening.\",\"I talked to Rylee, Piper for 54 minutes in the early evening.\"\n2710,2010/10/21,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n2711,2010/10/21,I spent 24 minutes watching a documentary on TV today.,I spent 24 minutes watching a documentary on TV today.\n2712,2010/10/22,I did weight lifting on 2010/10/22.,I did weight lifting on 2010/10/22.\n2713,2010/10/22,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n2714,2010/10/22,\"I had lunch with Olivia, Lydia, Nora, Eva, Piper. I ate sandwich.\",\"I had lunch with Olivia, Lydia, Nora, Eva, Piper. I ate sandwich.\"\n2715,2010/10/22,\"I had a burger for dinner with Nevaeh, Kinsley, Rylee, Piper, Piper, Lydia\",\"I had a burger for dinner with Nevaeh, Kinsley, Rylee, Piper, Piper, Lydia\"\n2716,2010/10/22,\"I spent 44 talking to Avery, Lydia on various topics in the early evening.\",\"I spent 44 talking to Avery, Lydia on various topics in the early evening.\"\n2717,2010/10/22,\"I spent 53 talking to Piper, Eva, Olivia on various topics in the early evening.\",\"I spent 53 talking to Piper, Eva, Olivia on various topics in the early evening.\"\n2718,2010/10/22,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n2719,2010/10/22,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n2720,2010/10/23,I did swimming on 2010/10/23.,I did swimming on 2010/10/23.\n2721,2010/10/23,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n2722,2010/10/23,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n2723,2010/10/23,I prepare steak for dinner.,I prepare steak for dinner.\n2724,2010/10/23,\"I spent 11 talking to Layla, Eva, Claire, Piper on various topics in the early evening.\",\"I spent 11 talking to Layla, Eva, Claire, Piper on various topics in the early evening.\"\n2725,2010/10/23,\"I spent 53 talking to Claire, Piper, Piper on various topics in the early afternoon.\",\"I spent 53 talking to Claire, Piper, Piper on various topics in the early afternoon.\"\n2726,2010/10/23,\"I talked to Layla, Olivia, Eva for 23 minutes in the early evening.\",\"I talked to Layla, Olivia, Eva for 23 minutes in the early evening.\"\n2727,2010/10/23,\"I talked to Layla, Olivia, Claire, Nora for 10 minutes late in the evening.\",\"I talked to Layla, Olivia, Claire, Nora for 10 minutes late in the evening.\"\n2728,2010/10/23,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n2729,2010/10/23,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n2730,2010/10/24,I went on a date with Lucy on 2010/10/24 at a park,I went on a date with Lucy on 2010/10/24 at a park\n2731,2010/10/24,\"I spent time yoga on 2010/10/24 with Piper, Hazel, Layla.\",\"I spent time yoga on 2010/10/24 with Piper, Hazel, Layla.\"\n2732,2010/10/24,\"I bought some pineapples, orange juice, guava juice, toothpaste from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\",\"I bought some pineapples, orange juice, guava juice, toothpaste from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\"\n2733,2010/10/24,I did biking on 2010/10/24.,I did biking on 2010/10/24.\n2734,2010/10/24,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2735,2010/10/24,I ate sushi for lunch.,I ate sushi for lunch.\n2736,2010/10/24,I prepare a burger for dinner.,I prepare a burger for dinner.\n2737,2010/10/24,\"I spent 17 talking to Rylee, Layla, Avery, Lydia on various topics late in the evening.\",\"I spent 17 talking to Rylee, Layla, Avery, Lydia on various topics late in the evening.\"\n2738,2010/10/24,\"I spent 21 talking to Olivia, Claire on various topics during lunch hours.\",\"I spent 21 talking to Olivia, Claire on various topics during lunch hours.\"\n2739,2010/10/24,\"I spent 38 talking to Kinsley, Claire, Nevaeh, Hazel on various topics during lunch hours.\",\"I spent 38 talking to Kinsley, Claire, Nevaeh, Hazel on various topics during lunch hours.\"\n2740,2010/10/24,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n2741,2010/10/24,I spent 24 minutes watching news on TV today.,I spent 24 minutes watching news on TV today.\n2742,2010/10/25,\"I bought some apricots, chocolate milk, apple juice, mineral water, tea, shaving cream, shampoo, mouthwash online.\",\"I bought some apricots, chocolate milk, apple juice, mineral water, tea, shaving cream, shampoo, mouthwash online.\"\n2743,2010/10/25,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n2744,2010/10/25,\"I had lunch with Andrew, Kayden, Carter. I ate chinese food.\",\"I had lunch with Andrew, Kayden, Carter. I ate chinese food.\"\n2745,2010/10/25,I ate chinese food for dinner.,I ate chinese food for dinner.\n2746,2010/10/25,\"I spent 29 talking to Avery, Nevaeh, Rylee, Hazel on various topics late in the evening.\",\"I spent 29 talking to Avery, Nevaeh, Rylee, Hazel on various topics late in the evening.\"\n2747,2010/10/25,\"I spent 15 talking to Piper, Layla, Piper on various topics in the early evening.\",\"I spent 15 talking to Piper, Layla, Piper on various topics in the early evening.\"\n2748,2010/10/25,\"I talked to Hazel, Claire, Nora for 35 minutes in the early evening.\",\"I talked to Hazel, Claire, Nora for 35 minutes in the early evening.\"\n2749,2010/10/25,\"I talked to Layla, Olivia, Nora, Nevaeh for 46 minutes in the late afternoon.\",\"I talked to Layla, Olivia, Nora, Nevaeh for 46 minutes in the late afternoon.\"\n2750,2010/10/25,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n2751,2010/10/25,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n2752,2010/10/26,I did weight lifting on 2010/10/26.,I did weight lifting on 2010/10/26.\n2753,2010/10/26,\"I had breakfast with Jackson, Benjamin, Willow. I ate oatmeal.\",\"I had breakfast with Jackson, Benjamin, Willow. I ate oatmeal.\"\n2754,2010/10/26,I ate steak for lunch.,I ate steak for lunch.\n2755,2010/10/26,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n2756,2010/10/26,\"I talked to Rylee, Layla, Eva for 6 minutes during lunch hours.\",\"I talked to Rylee, Layla, Eva for 6 minutes during lunch hours.\"\n2757,2010/10/26,\"I talked to Nevaeh, Lydia, Kinsley, Avery for 15 minutes in the early evening.\",\"I talked to Nevaeh, Lydia, Kinsley, Avery for 15 minutes in the early evening.\"\n2758,2010/10/26,\"I spent 49 talking to Piper, Lydia, Nora, Nevaeh on various topics in the early afternoon.\",\"I spent 49 talking to Piper, Lydia, Nora, Nevaeh on various topics in the early afternoon.\"\n2759,2010/10/26,I talked to Piper for 23 minutes in the early afternoon.,I talked to Piper for 23 minutes in the early afternoon.\n2760,2010/10/26,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n2761,2010/10/26,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n2762,2010/10/27,I did biking on 2010/10/27.,I did biking on 2010/10/27.\n2763,2010/10/27,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n2764,2010/10/27,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n2765,2010/10/27,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n2766,2010/10/27,I spent 50 talking to Piper on various topics in the early afternoon.,I spent 50 talking to Piper on various topics in the early afternoon.\n2767,2010/10/27,\"I talked to Avery, Eva, Rylee for 5 minutes in the early afternoon.\",\"I talked to Avery, Eva, Rylee for 5 minutes in the early afternoon.\"\n2768,2010/10/27,\"I spent 14 talking to Piper, Hazel, Nora, Eva on various topics in the early evening.\",\"I spent 14 talking to Piper, Hazel, Nora, Eva on various topics in the early evening.\"\n2769,2010/10/27,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n2770,2010/10/27,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n2771,2010/10/28,I did hiking on 2010/10/28.,I did hiking on 2010/10/28.\n2772,2010/10/28,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2773,2010/10/28,\"I had indian food for lunch with Avery, Jackson, Willow, Benjamin\",\"I had indian food for lunch with Avery, Jackson, Willow, Benjamin\"\n2774,2010/10/28,\"I had dinner with Willow, Benjamin, Avery, Jackson. I ate tacos.\",\"I had dinner with Willow, Benjamin, Avery, Jackson. I ate tacos.\"\n2775,2010/10/28,\"I spent 55 talking to Layla, Kinsley, Nora on various topics in the early evening.\",\"I spent 55 talking to Layla, Kinsley, Nora on various topics in the early evening.\"\n2776,2010/10/28,\"I talked to Nora, Olivia, Rylee for 13 minutes in the early afternoon.\",\"I talked to Nora, Olivia, Rylee for 13 minutes in the early afternoon.\"\n2777,2010/10/28,\"I talked to Layla, Kinsley for 30 minutes in the early afternoon.\",\"I talked to Layla, Kinsley for 30 minutes in the early afternoon.\"\n2778,2010/10/28,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n2779,2010/10/28,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n2780,2010/10/29,\"I spent time working out on 2010/10/29 with Avery, Rylee, Eva.\",\"I spent time working out on 2010/10/29 with Avery, Rylee, Eva.\"\n2781,2010/10/29,I did weight lifting on 2010/10/29.,I did weight lifting on 2010/10/29.\n2782,2010/10/29,I had pancakes for breakfast with Jackson,I had pancakes for breakfast with Jackson\n2783,2010/10/29,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n2784,2010/10/29,I ate chinese food for dinner.,I ate chinese food for dinner.\n2785,2010/10/29,\"I spent 29 talking to Hazel, Nora, Rylee, Eva on various topics in the late afternoon.\",\"I spent 29 talking to Hazel, Nora, Rylee, Eva on various topics in the late afternoon.\"\n2786,2010/10/29,\"I spent 26 talking to Nora, Claire on various topics in the late afternoon.\",\"I spent 26 talking to Nora, Claire on various topics in the late afternoon.\"\n2787,2010/10/29,\"I talked to Nevaeh, Nora, Layla, Piper for 9 minutes in the late afternoon.\",\"I talked to Nevaeh, Nora, Layla, Piper for 9 minutes in the late afternoon.\"\n2788,2010/10/29,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n2789,2010/10/29,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n2790,2010/10/30,I did biking on 2010/10/30.,I did biking on 2010/10/30.\n2791,2010/10/30,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2792,2010/10/30,\"I had lunch with Jackson, Benjamin, Willow, Avery. I ate indian food.\",\"I had lunch with Jackson, Benjamin, Willow, Avery. I ate indian food.\"\n2793,2010/10/30,I ate sandwich for dinner.,I ate sandwich for dinner.\n2794,2010/10/30,\"I spent 25 talking to Layla, Piper, Nora on various topics in the late afternoon.\",\"I spent 25 talking to Layla, Piper, Nora on various topics in the late afternoon.\"\n2795,2010/10/30,\"I spent 25 talking to Eva, Kinsley on various topics in the late afternoon.\",\"I spent 25 talking to Eva, Kinsley on various topics in the late afternoon.\"\n2796,2010/10/30,\"I talked to Claire, Rylee for 22 minutes during lunch hours.\",\"I talked to Claire, Rylee for 22 minutes during lunch hours.\"\n2797,2010/10/30,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n2798,2010/10/30,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n2799,2010/10/31,\"On 2010/10/31, I took Emery on a date to a boba shop\",\"On 2010/10/31, I took Emery on a date to a boba shop\"\n2800,2010/10/31,\"I bought some bananas, guava, mandarins, mangos, sports drinks, milk, facial wash online.\",\"I bought some bananas, guava, mandarins, mangos, sports drinks, milk, facial wash online.\"\n2801,2010/10/31,I did biking on 2010/10/31.,I did biking on 2010/10/31.\n2802,2010/10/31,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n2803,2010/10/31,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n2804,2010/10/31,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n2805,2010/10/31,I spent 27 talking to Hazel on various topics in the late afternoon.,I spent 27 talking to Hazel on various topics in the late afternoon.\n2806,2010/10/31,\"I talked to Eva, Rylee, Nora, Olivia for 40 minutes in the morning.\",\"I talked to Eva, Rylee, Nora, Olivia for 40 minutes in the morning.\"\n2807,2010/10/31,\"I spent 54 talking to Layla, Piper on various topics in the late afternoon.\",\"I spent 54 talking to Layla, Piper on various topics in the late afternoon.\"\n2808,2010/10/31,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n2809,2010/10/31,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n2810,2010/11/01,I did HIIT on 2010/11/01.,I did HIIT on 2010/11/01.\n2811,2010/11/01,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n2812,2010/11/01,I ate indian food for lunch.,I ate indian food for lunch.\n2813,2010/11/01,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n2814,2010/11/01,\"I talked to Piper, Hazel for 53 minutes in the early evening.\",\"I talked to Piper, Hazel for 53 minutes in the early evening.\"\n2815,2010/11/01,I spent 7 talking to Eva on various topics in the late afternoon.,I spent 7 talking to Eva on various topics in the late afternoon.\n2816,2010/11/01,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n2817,2010/11/01,I spent 20 minutes watching a movie on TV today.,I spent 20 minutes watching a movie on TV today.\n2818,2010/11/02,I did biking on 2010/11/02.,I did biking on 2010/11/02.\n2819,2010/11/02,I had toast and cheese for breakfast with Carter,I had toast and cheese for breakfast with Carter\n2820,2010/11/02,\"I had pasta for lunch with Willow, Benjamin, Jackson, Avery\",\"I had pasta for lunch with Willow, Benjamin, Jackson, Avery\"\n2821,2010/11/02,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n2822,2010/11/02,\"I spent 21 talking to Lydia, Hazel, Kinsley on various topics in the early evening.\",\"I spent 21 talking to Lydia, Hazel, Kinsley on various topics in the early evening.\"\n2823,2010/11/02,\"I talked to Kinsley, Nora, Rylee for 20 minutes in the early evening.\",\"I talked to Kinsley, Nora, Rylee for 20 minutes in the early evening.\"\n2824,2010/11/02,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n2825,2010/11/02,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n2826,2010/11/03,I went on a date with Kai on 2010/11/03 at a coffee Shop,I went on a date with Kai on 2010/11/03 at a coffee Shop\n2827,2010/11/03,I did weight lifting on 2010/11/03.,I did weight lifting on 2010/11/03.\n2828,2010/11/03,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n2829,2010/11/03,\"I had indian food for lunch with Eva, Claire\",\"I had indian food for lunch with Eva, Claire\"\n2830,2010/11/03,I had steak for dinner with Jackson,I had steak for dinner with Jackson\n2831,2010/11/03,\"I spent 33 talking to Claire, Layla, Kinsley on various topics in the early afternoon.\",\"I spent 33 talking to Claire, Layla, Kinsley on various topics in the early afternoon.\"\n2832,2010/11/03,\"I spent 17 talking to Eva, Lydia on various topics in the late afternoon.\",\"I spent 17 talking to Eva, Lydia on various topics in the late afternoon.\"\n2833,2010/11/03,\"I talked to Rylee, Hazel, Piper for 22 minutes in the morning.\",\"I talked to Rylee, Hazel, Piper for 22 minutes in the morning.\"\n2834,2010/11/03,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n2835,2010/11/03,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n2836,2010/11/04,\"I bought some oranges, apples, strawberries, milk, soda, conditioner, shampoo from the grocery store. I saw Hazel at the grocery store.\",\"I bought some oranges, apples, strawberries, milk, soda, conditioner, shampoo from the grocery store. I saw Hazel at the grocery store.\"\n2837,2010/11/04,I did biking on 2010/11/04.,I did biking on 2010/11/04.\n2838,2010/11/04,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n2839,2010/11/04,\"I had lunch with Kayden, Carter, Andrew, Emily. I ate sandwich.\",\"I had lunch with Kayden, Carter, Andrew, Emily. I ate sandwich.\"\n2840,2010/11/04,I prepare tacos for dinner.,I prepare tacos for dinner.\n2841,2010/11/04,\"I spent 31 talking to Claire, Eva, Piper on various topics in the morning.\",\"I spent 31 talking to Claire, Eva, Piper on various topics in the morning.\"\n2842,2010/11/04,\"I spent 50 talking to Piper, Piper, Avery on various topics in the early evening.\",\"I spent 50 talking to Piper, Piper, Avery on various topics in the early evening.\"\n2843,2010/11/04,\"I talked to Nevaeh, Olivia, Eva, Piper for 52 minutes in the early afternoon.\",\"I talked to Nevaeh, Olivia, Eva, Piper for 52 minutes in the early afternoon.\"\n2844,2010/11/04,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n2845,2010/11/04,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n2846,2010/11/05,\"I bought some oranges, watermelons, guava juice, coffee, milk, shampoo online.\",\"I bought some oranges, watermelons, guava juice, coffee, milk, shampoo online.\"\n2847,2010/11/05,I did hiking on 2010/11/05.,I did hiking on 2010/11/05.\n2848,2010/11/05,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n2849,2010/11/05,I prepare steak for lunch.,I prepare steak for lunch.\n2850,2010/11/05,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n2851,2010/11/05,\"I spent 43 talking to Claire, Eva on various topics in the early evening.\",\"I spent 43 talking to Claire, Eva on various topics in the early evening.\"\n2852,2010/11/05,\"I spent 50 talking to Avery, Piper on various topics in the morning.\",\"I spent 50 talking to Avery, Piper on various topics in the morning.\"\n2853,2010/11/05,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n2854,2010/11/05,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n2855,2010/11/06,I did hiking on 2010/11/06.,I did hiking on 2010/11/06.\n2856,2010/11/06,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n2857,2010/11/06,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n2858,2010/11/06,I prepare sushi for dinner.,I prepare sushi for dinner.\n2859,2010/11/06,\"I talked to Olivia, Piper, Rylee for 48 minutes in the morning.\",\"I talked to Olivia, Piper, Rylee for 48 minutes in the morning.\"\n2860,2010/11/06,\"I talked to Kinsley, Piper, Claire, Layla for 43 minutes in the morning.\",\"I talked to Kinsley, Piper, Claire, Layla for 43 minutes in the morning.\"\n2861,2010/11/06,\"I talked to Hazel, Piper, Claire for 39 minutes in the early evening.\",\"I talked to Hazel, Piper, Claire for 39 minutes in the early evening.\"\n2862,2010/11/06,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n2863,2010/11/06,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n2864,2010/11/07,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2865,2010/11/07,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n2866,2010/11/07,\"I had dinner with Benjamin, Jackson, Avery. I ate chinese food.\",\"I had dinner with Benjamin, Jackson, Avery. I ate chinese food.\"\n2867,2010/11/07,\"I spent 24 talking to Piper, Avery on various topics in the late afternoon.\",\"I spent 24 talking to Piper, Avery on various topics in the late afternoon.\"\n2868,2010/11/07,I spent 52 talking to Nevaeh on various topics during lunch hours.,I spent 52 talking to Nevaeh on various topics during lunch hours.\n2869,2010/11/07,\"I talked to Nora, Nevaeh, Claire for 49 minutes late in the evening.\",\"I talked to Nora, Nevaeh, Claire for 49 minutes late in the evening.\"\n2870,2010/11/07,\"I spent 8 talking to Piper, Hazel, Layla, Claire on various topics in the early evening.\",\"I spent 8 talking to Piper, Hazel, Layla, Claire on various topics in the early evening.\"\n2871,2010/11/07,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n2872,2010/11/07,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n2873,2010/11/08,\"On 2010/11/08, I took Miles on a date to a restaurant\",\"On 2010/11/08, I took Miles on a date to a restaurant\"\n2874,2010/11/08,I did biking on 2010/11/08.,I did biking on 2010/11/08.\n2875,2010/11/08,\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\"\n2876,2010/11/08,I prepare a burger for lunch.,I prepare a burger for lunch.\n2877,2010/11/08,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n2878,2010/11/08,\"I spent 8 talking to Eva, Piper on various topics in the early afternoon.\",\"I spent 8 talking to Eva, Piper on various topics in the early afternoon.\"\n2879,2010/11/08,I talked to Hazel for 33 minutes late in the evening.,I talked to Hazel for 33 minutes late in the evening.\n2880,2010/11/08,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n2881,2010/11/08,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n2882,2010/11/09,I did hiking on 2010/11/09.,I did hiking on 2010/11/09.\n2883,2010/11/09,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n2884,2010/11/09,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n2885,2010/11/09,\"I had sushi for dinner with Andrew, Emily\",\"I had sushi for dinner with Andrew, Emily\"\n2886,2010/11/09,I talked to Piper for 17 minutes during lunch hours.,I talked to Piper for 17 minutes during lunch hours.\n2887,2010/11/09,\"I talked to Layla, Nora, Claire, Olivia for 30 minutes in the early afternoon.\",\"I talked to Layla, Nora, Claire, Olivia for 30 minutes in the early afternoon.\"\n2888,2010/11/09,\"I talked to Piper, Nora for 12 minutes in the morning.\",\"I talked to Piper, Nora for 12 minutes in the morning.\"\n2889,2010/11/09,I spent 16 talking to Lydia on various topics in the early afternoon.,I spent 16 talking to Lydia on various topics in the early afternoon.\n2890,2010/11/09,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n2891,2010/11/09,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n2892,2010/11/10,I did HIIT on 2010/11/10.,I did HIIT on 2010/11/10.\n2893,2010/11/10,\"I had oatmeal for breakfast with Jackson, Willow, Avery\",\"I had oatmeal for breakfast with Jackson, Willow, Avery\"\n2894,2010/11/10,I prepare indian food for lunch.,I prepare indian food for lunch.\n2895,2010/11/10,I ate pasta for dinner.,I ate pasta for dinner.\n2896,2010/11/10,\"I spent 26 talking to Piper, Eva, Layla on various topics in the morning.\",\"I spent 26 talking to Piper, Eva, Layla on various topics in the morning.\"\n2897,2010/11/10,\"I talked to Layla, Piper for 54 minutes during lunch hours.\",\"I talked to Layla, Piper for 54 minutes during lunch hours.\"\n2898,2010/11/10,\"I spent 11 talking to Piper, Avery, Rylee, Layla on various topics in the late afternoon.\",\"I spent 11 talking to Piper, Avery, Rylee, Layla on various topics in the late afternoon.\"\n2899,2010/11/10,I talked to Olivia for 33 minutes in the early evening.,I talked to Olivia for 33 minutes in the early evening.\n2900,2010/11/10,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n2901,2010/11/10,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n2902,2010/11/11,\"I bought some guava, mangos, oranges, tea, mineral water, shaving cream, paper towel, conditioner from the grocery store. I saw Avery at the grocery store.\",\"I bought some guava, mangos, oranges, tea, mineral water, shaving cream, paper towel, conditioner from the grocery store. I saw Avery at the grocery store.\"\n2903,2010/11/11,I did biking on 2010/11/11.,I did biking on 2010/11/11.\n2904,2010/11/11,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n2905,2010/11/11,I ate sushi for lunch.,I ate sushi for lunch.\n2906,2010/11/11,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n2907,2010/11/11,\"I spent 46 talking to Olivia, Avery on various topics during lunch hours.\",\"I spent 46 talking to Olivia, Avery on various topics during lunch hours.\"\n2908,2010/11/11,\"I spent 39 talking to Olivia, Piper, Rylee on various topics during lunch hours.\",\"I spent 39 talking to Olivia, Piper, Rylee on various topics during lunch hours.\"\n2909,2010/11/11,\"I talked to Hazel, Olivia, Eva for 51 minutes in the late afternoon.\",\"I talked to Hazel, Olivia, Eva for 51 minutes in the late afternoon.\"\n2910,2010/11/11,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n2911,2010/11/11,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n2912,2010/11/12,I did swimming on 2010/11/12.,I did swimming on 2010/11/12.\n2913,2010/11/12,\"I had cereals for breakfast with Claire, Hazel, Piper, Lydia\",\"I had cereals for breakfast with Claire, Hazel, Piper, Lydia\"\n2914,2010/11/12,\"I had tacos for lunch with Nora, Layla, Piper, Claire, Lydia, Piper, Nevaeh, Hazel\",\"I had tacos for lunch with Nora, Layla, Piper, Claire, Lydia, Piper, Nevaeh, Hazel\"\n2915,2010/11/12,\"I had dinner with Kayden, Carter, Andrew, Emily. I ate fish and chips.\",\"I had dinner with Kayden, Carter, Andrew, Emily. I ate fish and chips.\"\n2916,2010/11/12,\"I spent 17 talking to Piper, Rylee, Nora, Eva on various topics in the early afternoon.\",\"I spent 17 talking to Piper, Rylee, Nora, Eva on various topics in the early afternoon.\"\n2917,2010/11/12,\"I talked to Olivia, Nora, Piper, Layla for 6 minutes in the early evening.\",\"I talked to Olivia, Nora, Piper, Layla for 6 minutes in the early evening.\"\n2918,2010/11/12,\"I talked to Avery, Hazel, Olivia, Layla for 21 minutes in the late afternoon.\",\"I talked to Avery, Hazel, Olivia, Layla for 21 minutes in the late afternoon.\"\n2919,2010/11/12,\"I talked to Piper, Layla for 8 minutes in the late afternoon.\",\"I talked to Piper, Layla for 8 minutes in the late afternoon.\"\n2920,2010/11/12,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n2921,2010/11/12,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n2922,2010/11/13,I spent time yoga on 2010/11/13 with Emily.,I spent time yoga on 2010/11/13 with Emily.\n2923,2010/11/13,I did HIIT on 2010/11/13.,I did HIIT on 2010/11/13.\n2924,2010/11/13,\"I had breakfast with Avery, Benjamin, Jackson. I ate cereals.\",\"I had breakfast with Avery, Benjamin, Jackson. I ate cereals.\"\n2925,2010/11/13,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n2926,2010/11/13,\"I had dinner with Willow, Benjamin, Jackson, Avery. I ate chinese food.\",\"I had dinner with Willow, Benjamin, Jackson, Avery. I ate chinese food.\"\n2927,2010/11/13,\"I spent 53 talking to Rylee, Nora, Avery on various topics late in the evening.\",\"I spent 53 talking to Rylee, Nora, Avery on various topics late in the evening.\"\n2928,2010/11/13,\"I talked to Lydia, Rylee for 51 minutes during lunch hours.\",\"I talked to Lydia, Rylee for 51 minutes during lunch hours.\"\n2929,2010/11/13,\"I spent 41 talking to Lydia, Nora on various topics in the early evening.\",\"I spent 41 talking to Lydia, Nora on various topics in the early evening.\"\n2930,2010/11/13,\"I talked to Rylee, Nevaeh for 9 minutes in the late afternoon.\",\"I talked to Rylee, Nevaeh for 9 minutes in the late afternoon.\"\n2931,2010/11/13,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n2932,2010/11/13,I watched a movie for 54 minutes on TV today.,I watched a movie for 54 minutes on TV today.\n2933,2010/11/14,I did weight lifting on 2010/11/14.,I did weight lifting on 2010/11/14.\n2934,2010/11/14,I had breakfast with Jackson. I ate peanut-butter-jam.,I had breakfast with Jackson. I ate peanut-butter-jam.\n2935,2010/11/14,\"I had lunch with Eva, Nora. I ate sandwich.\",\"I had lunch with Eva, Nora. I ate sandwich.\"\n2936,2010/11/14,I prepare pasta for dinner.,I prepare pasta for dinner.\n2937,2010/11/14,\"I talked to Kinsley, Lydia, Claire for 14 minutes in the early afternoon.\",\"I talked to Kinsley, Lydia, Claire for 14 minutes in the early afternoon.\"\n2938,2010/11/14,I talked to Lydia for 20 minutes in the morning.,I talked to Lydia for 20 minutes in the morning.\n2939,2010/11/14,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n2940,2010/11/14,I spent 17 minutes watching a tv series on TV today.,I spent 17 minutes watching a tv series on TV today.\n2941,2010/11/15,I did HIIT on 2010/11/15.,I did HIIT on 2010/11/15.\n2942,2010/11/15,\"I had breakfast with Nora, Hazel, Lydia, Claire, Eva, Rylee, Avery, Nevaeh. I ate eggs, sausages, and bread.\",\"I had breakfast with Nora, Hazel, Lydia, Claire, Eva, Rylee, Avery, Nevaeh. I ate eggs, sausages, and bread.\"\n2943,2010/11/15,I ate chinese food for lunch.,I ate chinese food for lunch.\n2944,2010/11/15,I had pasta for dinner with Carter,I had pasta for dinner with Carter\n2945,2010/11/15,\"I talked to Piper, Nevaeh, Kinsley for 42 minutes during lunch hours.\",\"I talked to Piper, Nevaeh, Kinsley for 42 minutes during lunch hours.\"\n2946,2010/11/15,\"I talked to Claire, Olivia, Hazel, Avery for 51 minutes in the morning.\",\"I talked to Claire, Olivia, Hazel, Avery for 51 minutes in the morning.\"\n2947,2010/11/15,\"I spent 55 talking to Layla, Hazel, Claire on various topics late in the evening.\",\"I spent 55 talking to Layla, Hazel, Claire on various topics late in the evening.\"\n2948,2010/11/15,\"I talked to Claire, Piper, Layla for 51 minutes late in the evening.\",\"I talked to Claire, Piper, Layla for 51 minutes late in the evening.\"\n2949,2010/11/15,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n2950,2010/11/15,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n2951,2010/11/16,I went on a date with Marzieh on 2010/11/16 at a coffee Shop,I went on a date with Marzieh on 2010/11/16 at a coffee Shop\n2952,2010/11/16,I did HIIT on 2010/11/16.,I did HIIT on 2010/11/16.\n2953,2010/11/16,I ate cereals for breakfast.,I ate cereals for breakfast.\n2954,2010/11/16,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n2955,2010/11/16,\"I had dinner with Avery, Rylee. I ate sandwich.\",\"I had dinner with Avery, Rylee. I ate sandwich.\"\n2956,2010/11/16,I spent 33 talking to Lydia on various topics in the early evening.,I spent 33 talking to Lydia on various topics in the early evening.\n2957,2010/11/16,\"I spent 36 talking to Rylee, Eva on various topics during lunch hours.\",\"I spent 36 talking to Rylee, Eva on various topics during lunch hours.\"\n2958,2010/11/16,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n2959,2010/11/16,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n2960,2010/11/17,\"I bought some blackberries, bananas, pears, oranges, soda, orange juice, mango juice, tea, paper towel, conditioner, toothbrush online.\",\"I bought some blackberries, bananas, pears, oranges, soda, orange juice, mango juice, tea, paper towel, conditioner, toothbrush online.\"\n2961,2010/11/17,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2962,2010/11/17,I had lunch. I ate steak.,I had lunch. I ate steak.\n2963,2010/11/17,\"I had dinner with Piper, Avery, Layla, Kinsley. I ate sushi.\",\"I had dinner with Piper, Avery, Layla, Kinsley. I ate sushi.\"\n2964,2010/11/17,\"I spent 28 talking to Nora, Eva, Olivia, Piper on various topics in the morning.\",\"I spent 28 talking to Nora, Eva, Olivia, Piper on various topics in the morning.\"\n2965,2010/11/17,\"I spent 7 talking to Kinsley, Lydia, Piper, Layla on various topics in the late afternoon.\",\"I spent 7 talking to Kinsley, Lydia, Piper, Layla on various topics in the late afternoon.\"\n2966,2010/11/17,I talked to Layla for 8 minutes in the early evening.,I talked to Layla for 8 minutes in the early evening.\n2967,2010/11/17,I spent 6 minutes on social media today.,I spent 6 minutes on social media today.\n2968,2010/11/17,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n2969,2010/11/18,I did weight lifting on 2010/11/18.,I did weight lifting on 2010/11/18.\n2970,2010/11/18,\"I had breakfast with Carter, Andrew, Emily. I ate oatmeal.\",\"I had breakfast with Carter, Andrew, Emily. I ate oatmeal.\"\n2971,2010/11/18,\"I had lunch with Kinsley, Claire, Eva, Nora, Layla, Rylee, Hazel. I ate a burger.\",\"I had lunch with Kinsley, Claire, Eva, Nora, Layla, Rylee, Hazel. I ate a burger.\"\n2972,2010/11/18,I prepare steak for dinner.,I prepare steak for dinner.\n2973,2010/11/18,\"I talked to Piper, Eva, Rylee for 44 minutes in the morning.\",\"I talked to Piper, Eva, Rylee for 44 minutes in the morning.\"\n2974,2010/11/18,I spent 13 talking to Lydia on various topics in the late afternoon.,I spent 13 talking to Lydia on various topics in the late afternoon.\n2975,2010/11/18,\"I talked to Piper, Layla, Rylee for 10 minutes late in the evening.\",\"I talked to Piper, Layla, Rylee for 10 minutes late in the evening.\"\n2976,2010/11/18,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n2977,2010/11/18,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n2978,2010/11/19,I did biking on 2010/11/19.,I did biking on 2010/11/19.\n2979,2010/11/19,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n2980,2010/11/19,\"I had chinese food for lunch with Nora, Eva, Olivia, Piper\",\"I had chinese food for lunch with Nora, Eva, Olivia, Piper\"\n2981,2010/11/19,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n2982,2010/11/19,\"I talked to Claire, Hazel, Avery, Nora for 49 minutes late in the evening.\",\"I talked to Claire, Hazel, Avery, Nora for 49 minutes late in the evening.\"\n2983,2010/11/19,I talked to Olivia for 48 minutes in the late afternoon.,I talked to Olivia for 48 minutes in the late afternoon.\n2984,2010/11/19,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n2985,2010/11/19,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n2986,2010/11/20,\"I spent time learning a language on 2010/11/20 with Rylee, Claire, Nora.\",\"I spent time learning a language on 2010/11/20 with Rylee, Claire, Nora.\"\n2987,2010/11/20,I had breakfast with Benjamin. I ate peanut-butter-jam.,I had breakfast with Benjamin. I ate peanut-butter-jam.\n2988,2010/11/20,\"I had chinese food for lunch with Emily, Kayden\",\"I had chinese food for lunch with Emily, Kayden\"\n2989,2010/11/20,\"I had dinner with Andrew, Kayden, Emily, Carter. I ate fish and chips.\",\"I had dinner with Andrew, Kayden, Emily, Carter. I ate fish and chips.\"\n2990,2010/11/20,\"I spent 9 talking to Olivia, Layla, Kinsley on various topics during lunch hours.\",\"I spent 9 talking to Olivia, Layla, Kinsley on various topics during lunch hours.\"\n2991,2010/11/20,\"I spent 39 talking to Piper, Claire, Piper, Nora on various topics in the late afternoon.\",\"I spent 39 talking to Piper, Claire, Piper, Nora on various topics in the late afternoon.\"\n2992,2010/11/20,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n2993,2010/11/20,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n2994,2010/11/21,I did biking on 2010/11/21.,I did biking on 2010/11/21.\n2995,2010/11/21,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n2996,2010/11/21,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n2997,2010/11/21,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n2998,2010/11/21,I spent 34 talking to Avery on various topics during lunch hours.,I spent 34 talking to Avery on various topics during lunch hours.\n2999,2010/11/21,\"I talked to Piper, Rylee, Layla, Olivia for 36 minutes in the morning.\",\"I talked to Piper, Rylee, Layla, Olivia for 36 minutes in the morning.\"\n3000,2010/11/21,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n3001,2010/11/21,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n3002,2010/11/22,\"I went grocery shopping. I bought some pears, oranges, clementines, bananas, chocolate milk, and mouth wash, toothbrush, facial wash\",\"I went grocery shopping. I bought some pears, oranges, clementines, bananas, chocolate milk, and mouth wash, toothbrush, facial wash\"\n3003,2010/11/22,I did biking on 2010/11/22.,I did biking on 2010/11/22.\n3004,2010/11/22,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n3005,2010/11/22,I prepare sushi for lunch.,I prepare sushi for lunch.\n3006,2010/11/22,I ate pasta for dinner.,I ate pasta for dinner.\n3007,2010/11/22,\"I talked to Piper, Eva, Claire, Lydia for 27 minutes in the early evening.\",\"I talked to Piper, Eva, Claire, Lydia for 27 minutes in the early evening.\"\n3008,2010/11/22,\"I spent 6 talking to Layla, Olivia, Nora on various topics in the morning.\",\"I spent 6 talking to Layla, Olivia, Nora on various topics in the morning.\"\n3009,2010/11/22,\"I spent 27 talking to Avery, Nevaeh on various topics late in the evening.\",\"I spent 27 talking to Avery, Nevaeh on various topics late in the evening.\"\n3010,2010/11/22,\"I spent 28 talking to Claire, Lydia on various topics in the morning.\",\"I spent 28 talking to Claire, Lydia on various topics in the morning.\"\n3011,2010/11/22,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n3012,2010/11/22,I spent 29 minutes watching a movie on TV today.,I spent 29 minutes watching a movie on TV today.\n3013,2010/11/23,\"On 2010/11/23, I took Nolan on a date to a park\",\"On 2010/11/23, I took Nolan on a date to a park\"\n3014,2010/11/23,I did running on 2010/11/23.,I did running on 2010/11/23.\n3015,2010/11/23,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n3016,2010/11/23,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n3017,2010/11/23,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n3018,2010/11/23,\"I spent 21 talking to Piper, Olivia, Claire, Avery on various topics in the early evening.\",\"I spent 21 talking to Piper, Olivia, Claire, Avery on various topics in the early evening.\"\n3019,2010/11/23,I spent 25 talking to Eva on various topics in the early evening.,I spent 25 talking to Eva on various topics in the early evening.\n3020,2010/11/23,I talked to Kinsley for 49 minutes in the early afternoon.,I talked to Kinsley for 49 minutes in the early afternoon.\n3021,2010/11/23,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n3022,2010/11/23,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n3023,2010/11/24,I did running on 2010/11/24.,I did running on 2010/11/24.\n3024,2010/11/24,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n3025,2010/11/24,\"I had indian food for lunch with Avery, Benjamin\",\"I had indian food for lunch with Avery, Benjamin\"\n3026,2010/11/24,I prepare indian food for dinner.,I prepare indian food for dinner.\n3027,2010/11/24,\"I spent 30 talking to Olivia, Avery on various topics late in the evening.\",\"I spent 30 talking to Olivia, Avery on various topics late in the evening.\"\n3028,2010/11/24,I spent 23 talking to Eva on various topics in the late afternoon.,I spent 23 talking to Eva on various topics in the late afternoon.\n3029,2010/11/24,\"I spent 13 talking to Rylee, Claire, Nora on various topics during lunch hours.\",\"I spent 13 talking to Rylee, Claire, Nora on various topics during lunch hours.\"\n3030,2010/11/24,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n3031,2010/11/24,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n3032,2010/11/25,I did hiking on 2010/11/25.,I did hiking on 2010/11/25.\n3033,2010/11/25,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n3034,2010/11/25,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n3035,2010/11/25,\"I had dinner with Kayden, Emily, Andrew. I ate sushi.\",\"I had dinner with Kayden, Emily, Andrew. I ate sushi.\"\n3036,2010/11/25,\"I talked to Lydia, Kinsley, Eva, Claire for 46 minutes in the early afternoon.\",\"I talked to Lydia, Kinsley, Eva, Claire for 46 minutes in the early afternoon.\"\n3037,2010/11/25,I talked to Kinsley for 42 minutes in the early afternoon.,I talked to Kinsley for 42 minutes in the early afternoon.\n3038,2010/11/25,\"I talked to Kinsley, Hazel for 8 minutes during lunch hours.\",\"I talked to Kinsley, Hazel for 8 minutes during lunch hours.\"\n3039,2010/11/25,\"I talked to Olivia, Piper, Nevaeh for 53 minutes in the early afternoon.\",\"I talked to Olivia, Piper, Nevaeh for 53 minutes in the early afternoon.\"\n3040,2010/11/25,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n3041,2010/11/25,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n3042,2010/11/26,\"On 2010/11/26, I took Connor on a date to a park\",\"On 2010/11/26, I took Connor on a date to a park\"\n3043,2010/11/26,I did biking on 2010/11/26.,I did biking on 2010/11/26.\n3044,2010/11/26,\"I had oatmeal for breakfast with Kinsley, Piper, Nevaeh, Eva, Hazel, Avery, Lydia, Nora, Rylee, Layla, Claire, Olivia, Piper\",\"I had oatmeal for breakfast with Kinsley, Piper, Nevaeh, Eva, Hazel, Avery, Lydia, Nora, Rylee, Layla, Claire, Olivia, Piper\"\n3045,2010/11/26,\"I had lunch with Carter, Kayden. I ate steak.\",\"I had lunch with Carter, Kayden. I ate steak.\"\n3046,2010/11/26,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n3047,2010/11/26,I talked to Rylee for 9 minutes late in the evening.,I talked to Rylee for 9 minutes late in the evening.\n3048,2010/11/26,\"I talked to Piper, Rylee for 21 minutes during lunch hours.\",\"I talked to Piper, Rylee for 21 minutes during lunch hours.\"\n3049,2010/11/26,I spent 32 talking to Hazel on various topics in the early evening.,I spent 32 talking to Hazel on various topics in the early evening.\n3050,2010/11/26,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n3051,2010/11/26,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n3052,2010/11/27,I did running on 2010/11/27.,I did running on 2010/11/27.\n3053,2010/11/27,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n3054,2010/11/27,I ate sushi for lunch.,I ate sushi for lunch.\n3055,2010/11/27,\"I had a burger for dinner with Emily, Andrew, Carter\",\"I had a burger for dinner with Emily, Andrew, Carter\"\n3056,2010/11/27,I talked to Piper for 43 minutes in the early afternoon.,I talked to Piper for 43 minutes in the early afternoon.\n3057,2010/11/27,\"I spent 48 talking to Kinsley, Piper on various topics in the early evening.\",\"I spent 48 talking to Kinsley, Piper on various topics in the early evening.\"\n3058,2010/11/27,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n3059,2010/11/27,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n3060,2010/11/28,I did biking on 2010/11/28.,I did biking on 2010/11/28.\n3061,2010/11/28,\"I had oatmeal for breakfast with Willow, Benjamin\",\"I had oatmeal for breakfast with Willow, Benjamin\"\n3062,2010/11/28,I ate chinese food for lunch.,I ate chinese food for lunch.\n3063,2010/11/28,\"I had dinner with Kayden, Emily, Andrew, Carter. I ate a burger.\",\"I had dinner with Kayden, Emily, Andrew, Carter. I ate a burger.\"\n3064,2010/11/28,\"I spent 55 talking to Hazel, Nora, Lydia on various topics in the early evening.\",\"I spent 55 talking to Hazel, Nora, Lydia on various topics in the early evening.\"\n3065,2010/11/28,\"I spent 23 talking to Kinsley, Piper, Nevaeh on various topics in the early evening.\",\"I spent 23 talking to Kinsley, Piper, Nevaeh on various topics in the early evening.\"\n3066,2010/11/28,\"I spent 33 talking to Olivia, Layla, Hazel, Nora on various topics in the early afternoon.\",\"I spent 33 talking to Olivia, Layla, Hazel, Nora on various topics in the early afternoon.\"\n3067,2010/11/28,\"I talked to Piper, Hazel for 17 minutes late in the evening.\",\"I talked to Piper, Hazel for 17 minutes late in the evening.\"\n3068,2010/11/28,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n3069,2010/11/28,I spent 6 minutes watching a movie on TV today.,I spent 6 minutes watching a movie on TV today.\n3070,2010/11/29,I went on a date with Alexander on 2010/11/29 at a restaurant,I went on a date with Alexander on 2010/11/29 at a restaurant\n3071,2010/11/29,I did biking on 2010/11/29.,I did biking on 2010/11/29.\n3072,2010/11/29,\"I had eggs, sausages, and bread for breakfast with Andrew, Emily, Kayden\",\"I had eggs, sausages, and bread for breakfast with Andrew, Emily, Kayden\"\n3073,2010/11/29,I ate sushi for lunch.,I ate sushi for lunch.\n3074,2010/11/29,I ate sushi for dinner.,I ate sushi for dinner.\n3075,2010/11/29,\"I spent 35 talking to Piper, Olivia, Kinsley on various topics during lunch hours.\",\"I spent 35 talking to Piper, Olivia, Kinsley on various topics during lunch hours.\"\n3076,2010/11/29,\"I talked to Claire, Kinsley for 32 minutes late in the evening.\",\"I talked to Claire, Kinsley for 32 minutes late in the evening.\"\n3077,2010/11/29,I spent 13 talking to Piper on various topics in the late afternoon.,I spent 13 talking to Piper on various topics in the late afternoon.\n3078,2010/11/29,\"I spent 44 talking to Rylee, Lydia on various topics in the early afternoon.\",\"I spent 44 talking to Rylee, Lydia on various topics in the early afternoon.\"\n3079,2010/11/29,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n3080,2010/11/29,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n3081,2010/11/30,\"I bought some strawberries, guava, soda, paper towel from the grocery store. I saw Eva, Piper, Hazel, Olivia, Claire, Lydia, Nevaeh at the grocery store.\",\"I bought some strawberries, guava, soda, paper towel from the grocery store. I saw Eva, Piper, Hazel, Olivia, Claire, Lydia, Nevaeh at the grocery store.\"\n3082,2010/11/30,I did swimming on 2010/11/30.,I did swimming on 2010/11/30.\n3083,2010/11/30,\"I had cereals for breakfast with Olivia, Piper, Claire, Lydia, Rylee, Hazel\",\"I had cereals for breakfast with Olivia, Piper, Claire, Lydia, Rylee, Hazel\"\n3084,2010/11/30,I prepare tacos for lunch.,I prepare tacos for lunch.\n3085,2010/11/30,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n3086,2010/11/30,\"I spent 45 talking to Layla, Piper, Nevaeh, Hazel on various topics late in the evening.\",\"I spent 45 talking to Layla, Piper, Nevaeh, Hazel on various topics late in the evening.\"\n3087,2010/11/30,I talked to Nora for 15 minutes in the late afternoon.,I talked to Nora for 15 minutes in the late afternoon.\n3088,2010/11/30,\"I talked to Kinsley, Piper, Eva, Layla for 11 minutes in the early evening.\",\"I talked to Kinsley, Piper, Eva, Layla for 11 minutes in the early evening.\"\n3089,2010/11/30,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n3090,2010/11/30,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n3091,2010/12/01,I did HIIT on 2010/12/01.,I did HIIT on 2010/12/01.\n3092,2010/12/01,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n3093,2010/12/01,I prepare indian food for lunch.,I prepare indian food for lunch.\n3094,2010/12/01,\"I had dinner with Nevaeh, Nora, Hazel, Piper, Claire. I ate chinese food.\",\"I had dinner with Nevaeh, Nora, Hazel, Piper, Claire. I ate chinese food.\"\n3095,2010/12/01,I spent 50 talking to Kinsley on various topics in the early afternoon.,I spent 50 talking to Kinsley on various topics in the early afternoon.\n3096,2010/12/01,I spent 40 talking to Lydia on various topics in the morning.,I spent 40 talking to Lydia on various topics in the morning.\n3097,2010/12/01,I spent 45 talking to Rylee on various topics late in the evening.,I spent 45 talking to Rylee on various topics late in the evening.\n3098,2010/12/01,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n3099,2010/12/01,I spent 30 minutes watching a tv series on TV today.,I spent 30 minutes watching a tv series on TV today.\n3100,2010/12/02,I did weight lifting on 2010/12/02.,I did weight lifting on 2010/12/02.\n3101,2010/12/02,I had pancakes for breakfast with Kayden,I had pancakes for breakfast with Kayden\n3102,2010/12/02,\"I had lunch with Andrew, Kayden, Emily, Carter. I ate sushi.\",\"I had lunch with Andrew, Kayden, Emily, Carter. I ate sushi.\"\n3103,2010/12/02,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n3104,2010/12/02,\"I talked to Avery, Lydia for 48 minutes late in the evening.\",\"I talked to Avery, Lydia for 48 minutes late in the evening.\"\n3105,2010/12/02,I spent 40 talking to Rylee on various topics in the early afternoon.,I spent 40 talking to Rylee on various topics in the early afternoon.\n3106,2010/12/02,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n3107,2010/12/02,I spent 49 minutes watching a documentary on TV today.,I spent 49 minutes watching a documentary on TV today.\n3108,2010/12/03,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n3109,2010/12/03,I prepare indian food for lunch.,I prepare indian food for lunch.\n3110,2010/12/03,I prepare sushi for dinner.,I prepare sushi for dinner.\n3111,2010/12/03,\"I talked to Olivia, Avery for 46 minutes in the late afternoon.\",\"I talked to Olivia, Avery for 46 minutes in the late afternoon.\"\n3112,2010/12/03,I spent 29 talking to Layla on various topics in the morning.,I spent 29 talking to Layla on various topics in the morning.\n3113,2010/12/03,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n3114,2010/12/03,I watched a documentary for 36 minutes on TV today.,I watched a documentary for 36 minutes on TV today.\n3115,2010/12/04,\"I had oatmeal for breakfast with Kayden, Emily, Carter, Andrew\",\"I had oatmeal for breakfast with Kayden, Emily, Carter, Andrew\"\n3116,2010/12/04,\"I had lunch with Rylee, Kinsley, Nevaeh, Hazel, Piper, Olivia, Layla. I ate pasta.\",\"I had lunch with Rylee, Kinsley, Nevaeh, Hazel, Piper, Olivia, Layla. I ate pasta.\"\n3117,2010/12/04,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n3118,2010/12/04,I talked to Lydia for 37 minutes in the morning.,I talked to Lydia for 37 minutes in the morning.\n3119,2010/12/04,I talked to Piper for 25 minutes late in the evening.,I talked to Piper for 25 minutes late in the evening.\n3120,2010/12/04,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n3121,2010/12/04,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n3122,2010/12/05,\"I went grocery shopping. I bought some raspberries, clementines, oranges, guava, milk, apple juice, soda, tea, and paper towel, toothbrush, mouth wash, mouthwash\",\"I went grocery shopping. I bought some raspberries, clementines, oranges, guava, milk, apple juice, soda, tea, and paper towel, toothbrush, mouth wash, mouthwash\"\n3123,2010/12/05,I did weight lifting on 2010/12/05.,I did weight lifting on 2010/12/05.\n3124,2010/12/05,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n3125,2010/12/05,I ate chinese food for lunch.,I ate chinese food for lunch.\n3126,2010/12/05,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n3127,2010/12/05,\"I spent 9 talking to Piper, Kinsley, Avery, Lydia on various topics late in the evening.\",\"I spent 9 talking to Piper, Kinsley, Avery, Lydia on various topics late in the evening.\"\n3128,2010/12/05,\"I spent 9 talking to Layla, Piper, Piper, Avery on various topics in the early afternoon.\",\"I spent 9 talking to Layla, Piper, Piper, Avery on various topics in the early afternoon.\"\n3129,2010/12/05,I talked to Claire for 26 minutes late in the evening.,I talked to Claire for 26 minutes late in the evening.\n3130,2010/12/05,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n3131,2010/12/05,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n3132,2010/12/06,\"I went grocery shopping with Avery, Willow, Jackson, Benjamin. I bought some pineapples, apricots, coffee, orange juice, chocolate milk, tea, and toothpaste, mouth wash\",\"I went grocery shopping with Avery, Willow, Jackson, Benjamin. I bought some pineapples, apricots, coffee, orange juice, chocolate milk, tea, and toothpaste, mouth wash\"\n3133,2010/12/06,I did hiking on 2010/12/06.,I did hiking on 2010/12/06.\n3134,2010/12/06,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n3135,2010/12/06,I had lunch with Jackson. I ate tacos.,I had lunch with Jackson. I ate tacos.\n3136,2010/12/06,\"I had fish and chips for dinner with Hazel, Nora, Piper, Avery, Lydia, Rylee, Layla, Kinsley, Claire, Piper, Nevaeh\",\"I had fish and chips for dinner with Hazel, Nora, Piper, Avery, Lydia, Rylee, Layla, Kinsley, Claire, Piper, Nevaeh\"\n3137,2010/12/06,\"I talked to Lydia, Rylee, Olivia, Claire for 47 minutes in the early afternoon.\",\"I talked to Lydia, Rylee, Olivia, Claire for 47 minutes in the early afternoon.\"\n3138,2010/12/06,\"I talked to Claire, Layla for 7 minutes during lunch hours.\",\"I talked to Claire, Layla for 7 minutes during lunch hours.\"\n3139,2010/12/06,I spent 50 talking to Piper on various topics during lunch hours.,I spent 50 talking to Piper on various topics during lunch hours.\n3140,2010/12/06,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n3141,2010/12/06,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n3142,2010/12/07,I did weight lifting on 2010/12/07.,I did weight lifting on 2010/12/07.\n3143,2010/12/07,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n3144,2010/12/07,\"I had lunch with Kayden, Andrew, Emily. I ate sandwich.\",\"I had lunch with Kayden, Andrew, Emily. I ate sandwich.\"\n3145,2010/12/07,\"I had dinner with Kayden, Emily, Andrew, Carter. I ate a burger.\",\"I had dinner with Kayden, Emily, Andrew, Carter. I ate a burger.\"\n3146,2010/12/07,\"I spent 44 talking to Olivia, Lydia on various topics in the morning.\",\"I spent 44 talking to Olivia, Lydia on various topics in the morning.\"\n3147,2010/12/07,\"I spent 52 talking to Lydia, Piper on various topics late in the evening.\",\"I spent 52 talking to Lydia, Piper on various topics late in the evening.\"\n3148,2010/12/07,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n3149,2010/12/07,I watched a documentary for 48 minutes on TV today.,I watched a documentary for 48 minutes on TV today.\n3150,2010/12/08,I went on a date with Emma on 2010/12/08 at a boba shop,I went on a date with Emma on 2010/12/08 at a boba shop\n3151,2010/12/08,I did biking on 2010/12/08.,I did biking on 2010/12/08.\n3152,2010/12/08,\"I had breakfast with Andrew, Emily, Kayden. I ate cereals.\",\"I had breakfast with Andrew, Emily, Kayden. I ate cereals.\"\n3153,2010/12/08,I ate a burger for lunch.,I ate a burger for lunch.\n3154,2010/12/08,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n3155,2010/12/08,\"I talked to Hazel, Piper for 24 minutes in the morning.\",\"I talked to Hazel, Piper for 24 minutes in the morning.\"\n3156,2010/12/08,\"I spent 6 talking to Nora, Nevaeh, Olivia, Hazel on various topics during lunch hours.\",\"I spent 6 talking to Nora, Nevaeh, Olivia, Hazel on various topics during lunch hours.\"\n3157,2010/12/08,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n3158,2010/12/08,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n3159,2010/12/09,I spent some time learning a language on 2010/12/09.,I spent some time learning a language on 2010/12/09.\n3160,2010/12/09,I did hiking on 2010/12/09.,I did hiking on 2010/12/09.\n3161,2010/12/09,\"I had breakfast with Emily, Kayden, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Kayden, Andrew. I ate eggs, sausages, and bread.\"\n3162,2010/12/09,\"I had lunch with Avery, Benjamin, Jackson. I ate chinese food.\",\"I had lunch with Avery, Benjamin, Jackson. I ate chinese food.\"\n3163,2010/12/09,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n3164,2010/12/09,I spent 49 talking to Piper on various topics in the early evening.,I spent 49 talking to Piper on various topics in the early evening.\n3165,2010/12/09,\"I talked to Claire, Nora, Layla, Eva for 11 minutes during lunch hours.\",\"I talked to Claire, Nora, Layla, Eva for 11 minutes during lunch hours.\"\n3166,2010/12/09,\"I talked to Piper, Kinsley, Nevaeh, Lydia for 13 minutes in the morning.\",\"I talked to Piper, Kinsley, Nevaeh, Lydia for 13 minutes in the morning.\"\n3167,2010/12/09,\"I talked to Eva, Piper, Avery for 13 minutes in the morning.\",\"I talked to Eva, Piper, Avery for 13 minutes in the morning.\"\n3168,2010/12/09,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n3169,2010/12/09,I spent 30 minutes watching a tv series on TV today.,I spent 30 minutes watching a tv series on TV today.\n3170,2010/12/10,\"On 2010/12/10, I took Nolan on a date to a restaurant\",\"On 2010/12/10, I took Nolan on a date to a restaurant\"\n3171,2010/12/10,I did weight lifting on 2010/12/10.,I did weight lifting on 2010/12/10.\n3172,2010/12/10,\"I had peanut-butter-jam for breakfast with Carter, Emily, Andrew, Kayden\",\"I had peanut-butter-jam for breakfast with Carter, Emily, Andrew, Kayden\"\n3173,2010/12/10,\"I had sushi for lunch with Carter, Kayden, Emily, Andrew\",\"I had sushi for lunch with Carter, Kayden, Emily, Andrew\"\n3174,2010/12/10,I had dinner. I ate steak.,I had dinner. I ate steak.\n3175,2010/12/10,\"I talked to Nevaeh, Piper, Nora for 26 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Nora for 26 minutes in the early afternoon.\"\n3176,2010/12/10,I talked to Avery for 36 minutes in the early afternoon.,I talked to Avery for 36 minutes in the early afternoon.\n3177,2010/12/10,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n3178,2010/12/10,I spent 30 minutes watching a movie on TV today.,I spent 30 minutes watching a movie on TV today.\n3179,2010/12/11,I did swimming on 2010/12/11.,I did swimming on 2010/12/11.\n3180,2010/12/11,\"I had peanut-butter-jam for breakfast with Avery, Benjamin, Willow\",\"I had peanut-butter-jam for breakfast with Avery, Benjamin, Willow\"\n3181,2010/12/11,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n3182,2010/12/11,\"I had dinner with Benjamin, Willow. I ate sandwich.\",\"I had dinner with Benjamin, Willow. I ate sandwich.\"\n3183,2010/12/11,\"I spent 54 talking to Nora, Rylee, Hazel, Kinsley on various topics in the early afternoon.\",\"I spent 54 talking to Nora, Rylee, Hazel, Kinsley on various topics in the early afternoon.\"\n3184,2010/12/11,I spent 20 talking to Piper on various topics in the late afternoon.,I spent 20 talking to Piper on various topics in the late afternoon.\n3185,2010/12/11,I talked to Claire for 26 minutes in the morning.,I talked to Claire for 26 minutes in the morning.\n3186,2010/12/11,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n3187,2010/12/11,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n3188,2010/12/12,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n3189,2010/12/12,\"I had fish and chips for lunch with Rylee, Nevaeh\",\"I had fish and chips for lunch with Rylee, Nevaeh\"\n3190,2010/12/12,I ate steak for dinner.,I ate steak for dinner.\n3191,2010/12/12,\"I talked to Hazel, Kinsley, Piper for 16 minutes in the early afternoon.\",\"I talked to Hazel, Kinsley, Piper for 16 minutes in the early afternoon.\"\n3192,2010/12/12,\"I spent 16 talking to Rylee, Nevaeh, Lydia, Nora on various topics late in the evening.\",\"I spent 16 talking to Rylee, Nevaeh, Lydia, Nora on various topics late in the evening.\"\n3193,2010/12/12,\"I spent 25 talking to Hazel, Avery on various topics late in the evening.\",\"I spent 25 talking to Hazel, Avery on various topics late in the evening.\"\n3194,2010/12/12,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n3195,2010/12/12,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n3196,2010/12/13,I did swimming on 2010/12/13.,I did swimming on 2010/12/13.\n3197,2010/12/13,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n3198,2010/12/13,I ate tacos for lunch.,I ate tacos for lunch.\n3199,2010/12/13,I ate steak for dinner.,I ate steak for dinner.\n3200,2010/12/13,\"I talked to Kinsley, Rylee for 41 minutes in the late afternoon.\",\"I talked to Kinsley, Rylee for 41 minutes in the late afternoon.\"\n3201,2010/12/13,I spent 34 talking to Piper on various topics during lunch hours.,I spent 34 talking to Piper on various topics during lunch hours.\n3202,2010/12/13,\"I talked to Nora, Claire, Piper for 38 minutes during lunch hours.\",\"I talked to Nora, Claire, Piper for 38 minutes during lunch hours.\"\n3203,2010/12/13,\"I talked to Olivia, Avery, Claire for 24 minutes late in the evening.\",\"I talked to Olivia, Avery, Claire for 24 minutes late in the evening.\"\n3204,2010/12/13,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n3205,2010/12/13,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n3206,2010/12/14,I spent some time learning a language on 2010/12/14.,I spent some time learning a language on 2010/12/14.\n3207,2010/12/14,\"I went grocery shopping with Andrew, Carter, Emily. I bought some blackberries, oranges, nectarines, apples, coffee, apple juice, sports drinks, mineral water, and toilet paper, toothpaste\",\"I went grocery shopping with Andrew, Carter, Emily. I bought some blackberries, oranges, nectarines, apples, coffee, apple juice, sports drinks, mineral water, and toilet paper, toothpaste\"\n3208,2010/12/14,I did swimming on 2010/12/14.,I did swimming on 2010/12/14.\n3209,2010/12/14,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n3210,2010/12/14,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n3211,2010/12/14,I had dinner with Layla. I ate fish and chips.,I had dinner with Layla. I ate fish and chips.\n3212,2010/12/14,\"I spent 24 talking to Avery, Nora, Rylee, Olivia on various topics late in the evening.\",\"I spent 24 talking to Avery, Nora, Rylee, Olivia on various topics late in the evening.\"\n3213,2010/12/14,\"I talked to Hazel, Kinsley, Olivia for 24 minutes in the late afternoon.\",\"I talked to Hazel, Kinsley, Olivia for 24 minutes in the late afternoon.\"\n3214,2010/12/14,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n3215,2010/12/14,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n3216,2010/12/15,I did running on 2010/12/15.,I did running on 2010/12/15.\n3217,2010/12/15,\"I had breakfast with Andrew, Carter. I ate toast and cheese.\",\"I had breakfast with Andrew, Carter. I ate toast and cheese.\"\n3218,2010/12/15,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n3219,2010/12/15,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n3220,2010/12/15,I talked to Lydia for 8 minutes late in the evening.,I talked to Lydia for 8 minutes late in the evening.\n3221,2010/12/15,\"I talked to Rylee, Avery, Hazel, Olivia for 15 minutes in the early afternoon.\",\"I talked to Rylee, Avery, Hazel, Olivia for 15 minutes in the early afternoon.\"\n3222,2010/12/15,\"I talked to Nora, Kinsley for 24 minutes in the early evening.\",\"I talked to Nora, Kinsley for 24 minutes in the early evening.\"\n3223,2010/12/15,\"I talked to Olivia, Kinsley, Piper, Nora for 18 minutes during lunch hours.\",\"I talked to Olivia, Kinsley, Piper, Nora for 18 minutes during lunch hours.\"\n3224,2010/12/15,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n3225,2010/12/15,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n3226,2010/12/16,I did swimming on 2010/12/16.,I did swimming on 2010/12/16.\n3227,2010/12/16,I had breakfast with Kayden. I ate peanut-butter-jam.,I had breakfast with Kayden. I ate peanut-butter-jam.\n3228,2010/12/16,I had a burger for lunch with Carter,I had a burger for lunch with Carter\n3229,2010/12/16,I had dinner with Jackson. I ate a burger.,I had dinner with Jackson. I ate a burger.\n3230,2010/12/16,\"I talked to Rylee, Eva, Avery, Piper for 25 minutes during lunch hours.\",\"I talked to Rylee, Eva, Avery, Piper for 25 minutes during lunch hours.\"\n3231,2010/12/16,\"I talked to Nevaeh, Rylee, Eva for 52 minutes late in the evening.\",\"I talked to Nevaeh, Rylee, Eva for 52 minutes late in the evening.\"\n3232,2010/12/16,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n3233,2010/12/16,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n3234,2010/12/17,I did HIIT on 2010/12/17.,I did HIIT on 2010/12/17.\n3235,2010/12/17,I ate cereals for breakfast.,I ate cereals for breakfast.\n3236,2010/12/17,I ate pasta for lunch.,I ate pasta for lunch.\n3237,2010/12/17,I had pasta for dinner with Jackson,I had pasta for dinner with Jackson\n3238,2010/12/17,\"I spent 12 talking to Kinsley, Nevaeh on various topics during lunch hours.\",\"I spent 12 talking to Kinsley, Nevaeh on various topics during lunch hours.\"\n3239,2010/12/17,I talked to Olivia for 16 minutes in the early evening.,I talked to Olivia for 16 minutes in the early evening.\n3240,2010/12/17,\"I talked to Avery, Claire for 13 minutes in the early afternoon.\",\"I talked to Avery, Claire for 13 minutes in the early afternoon.\"\n3241,2010/12/17,\"I talked to Piper, Lydia for 22 minutes in the morning.\",\"I talked to Piper, Lydia for 22 minutes in the morning.\"\n3242,2010/12/17,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n3243,2010/12/17,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n3244,2010/12/18,I did running on 2010/12/18.,I did running on 2010/12/18.\n3245,2010/12/18,\"I had toast and cheese for breakfast with Kayden, Andrew\",\"I had toast and cheese for breakfast with Kayden, Andrew\"\n3246,2010/12/18,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n3247,2010/12/18,I ate pasta for dinner.,I ate pasta for dinner.\n3248,2010/12/18,\"I talked to Lydia, Layla, Hazel for 42 minutes in the early evening.\",\"I talked to Lydia, Layla, Hazel for 42 minutes in the early evening.\"\n3249,2010/12/18,\"I talked to Piper, Kinsley, Piper for 50 minutes in the morning.\",\"I talked to Piper, Kinsley, Piper for 50 minutes in the morning.\"\n3250,2010/12/18,\"I talked to Avery, Nevaeh, Claire, Rylee for 47 minutes in the morning.\",\"I talked to Avery, Nevaeh, Claire, Rylee for 47 minutes in the morning.\"\n3251,2010/12/18,\"I talked to Hazel, Claire for 12 minutes during lunch hours.\",\"I talked to Hazel, Claire for 12 minutes during lunch hours.\"\n3252,2010/12/18,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n3253,2010/12/18,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n3254,2010/12/19,\"On 2010/12/19, I took Greyson on a date to a park\",\"On 2010/12/19, I took Greyson on a date to a park\"\n3255,2010/12/19,I did HIIT on 2010/12/19.,I did HIIT on 2010/12/19.\n3256,2010/12/19,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3257,2010/12/19,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n3258,2010/12/19,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n3259,2010/12/19,\"I spent 35 talking to Claire, Rylee on various topics in the morning.\",\"I spent 35 talking to Claire, Rylee on various topics in the morning.\"\n3260,2010/12/19,\"I spent 19 talking to Avery, Eva, Olivia, Nevaeh on various topics in the early afternoon.\",\"I spent 19 talking to Avery, Eva, Olivia, Nevaeh on various topics in the early afternoon.\"\n3261,2010/12/19,\"I talked to Layla, Avery, Kinsley, Rylee for 47 minutes during lunch hours.\",\"I talked to Layla, Avery, Kinsley, Rylee for 47 minutes during lunch hours.\"\n3262,2010/12/19,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n3263,2010/12/19,I spent 40 minutes watching a movie on TV today.,I spent 40 minutes watching a movie on TV today.\n3264,2010/12/20,I went on a date with Elizabeth on 2010/12/20 at a coffee Shop,I went on a date with Elizabeth on 2010/12/20 at a coffee Shop\n3265,2010/12/20,I did weight lifting on 2010/12/20.,I did weight lifting on 2010/12/20.\n3266,2010/12/20,\"I had toast and cheese for breakfast with Jackson, Avery, Willow, Benjamin\",\"I had toast and cheese for breakfast with Jackson, Avery, Willow, Benjamin\"\n3267,2010/12/20,I prepare steak for lunch.,I prepare steak for lunch.\n3268,2010/12/20,\"I had dinner with Andrew, Carter. I ate sushi.\",\"I had dinner with Andrew, Carter. I ate sushi.\"\n3269,2010/12/20,I spent 39 talking to Avery on various topics in the morning.,I spent 39 talking to Avery on various topics in the morning.\n3270,2010/12/20,I spent 53 talking to Layla on various topics during lunch hours.,I spent 53 talking to Layla on various topics during lunch hours.\n3271,2010/12/20,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n3272,2010/12/20,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n3273,2010/12/21,I did running on 2010/12/21.,I did running on 2010/12/21.\n3274,2010/12/21,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n3275,2010/12/21,\"I had sandwich for lunch with Olivia, Piper, Piper, Nora, Eva, Kinsley\",\"I had sandwich for lunch with Olivia, Piper, Piper, Nora, Eva, Kinsley\"\n3276,2010/12/21,I ate pasta for dinner.,I ate pasta for dinner.\n3277,2010/12/21,I spent 47 talking to Piper on various topics in the early afternoon.,I spent 47 talking to Piper on various topics in the early afternoon.\n3278,2010/12/21,\"I spent 53 talking to Olivia, Avery, Layla, Claire on various topics in the morning.\",\"I spent 53 talking to Olivia, Avery, Layla, Claire on various topics in the morning.\"\n3279,2010/12/21,I talked to Claire for 51 minutes in the early evening.,I talked to Claire for 51 minutes in the early evening.\n3280,2010/12/21,\"I talked to Olivia, Nevaeh for 41 minutes in the morning.\",\"I talked to Olivia, Nevaeh for 41 minutes in the morning.\"\n3281,2010/12/21,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n3282,2010/12/21,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n3283,2010/12/22,I did hiking on 2010/12/22.,I did hiking on 2010/12/22.\n3284,2010/12/22,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n3285,2010/12/22,\"I had lunch with Kayden, Emily, Andrew, Carter. I ate a burger.\",\"I had lunch with Kayden, Emily, Andrew, Carter. I ate a burger.\"\n3286,2010/12/22,\"I had dinner with Carter, Andrew. I ate a burger.\",\"I had dinner with Carter, Andrew. I ate a burger.\"\n3287,2010/12/22,\"I spent 47 talking to Lydia, Avery on various topics in the early afternoon.\",\"I spent 47 talking to Lydia, Avery on various topics in the early afternoon.\"\n3288,2010/12/22,\"I talked to Olivia, Claire for 15 minutes during lunch hours.\",\"I talked to Olivia, Claire for 15 minutes during lunch hours.\"\n3289,2010/12/22,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n3290,2010/12/22,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n3291,2010/12/23,\"I went grocery shopping. I bought some apples, oranges, guava juice, orange juice, mango juice, and mouth wash\",\"I went grocery shopping. I bought some apples, oranges, guava juice, orange juice, mango juice, and mouth wash\"\n3292,2010/12/23,I did running on 2010/12/23.,I did running on 2010/12/23.\n3293,2010/12/23,\"I had breakfast with Jackson, Willow, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Jackson, Willow, Avery. I ate peanut-butter-jam.\"\n3294,2010/12/23,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n3295,2010/12/23,\"I had indian food for dinner with Willow, Jackson\",\"I had indian food for dinner with Willow, Jackson\"\n3296,2010/12/23,\"I talked to Rylee, Claire for 14 minutes late in the evening.\",\"I talked to Rylee, Claire for 14 minutes late in the evening.\"\n3297,2010/12/23,\"I talked to Layla, Kinsley, Eva for 54 minutes during lunch hours.\",\"I talked to Layla, Kinsley, Eva for 54 minutes during lunch hours.\"\n3298,2010/12/23,\"I talked to Lydia, Kinsley, Avery, Piper for 54 minutes during lunch hours.\",\"I talked to Lydia, Kinsley, Avery, Piper for 54 minutes during lunch hours.\"\n3299,2010/12/23,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n3300,2010/12/23,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n3301,2010/12/24,I did weight lifting on 2010/12/24.,I did weight lifting on 2010/12/24.\n3302,2010/12/24,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n3303,2010/12/24,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n3304,2010/12/24,I had sandwich for dinner with Emily,I had sandwich for dinner with Emily\n3305,2010/12/24,\"I spent 9 talking to Piper, Nora on various topics in the morning.\",\"I spent 9 talking to Piper, Nora on various topics in the morning.\"\n3306,2010/12/24,\"I talked to Layla, Piper, Hazel for 9 minutes in the early afternoon.\",\"I talked to Layla, Piper, Hazel for 9 minutes in the early afternoon.\"\n3307,2010/12/24,\"I spent 47 talking to Nevaeh, Layla on various topics in the morning.\",\"I spent 47 talking to Nevaeh, Layla on various topics in the morning.\"\n3308,2010/12/24,I talked to Rylee for 55 minutes in the early evening.,I talked to Rylee for 55 minutes in the early evening.\n3309,2010/12/24,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n3310,2010/12/24,I spent 38 minutes watching a tv series on TV today.,I spent 38 minutes watching a tv series on TV today.\n3311,2010/12/25,I did weight lifting on 2010/12/25.,I did weight lifting on 2010/12/25.\n3312,2010/12/25,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n3313,2010/12/25,I prepare pasta for lunch.,I prepare pasta for lunch.\n3314,2010/12/25,I prepare pasta for dinner.,I prepare pasta for dinner.\n3315,2010/12/25,I spent 51 talking to Kinsley on various topics in the morning.,I spent 51 talking to Kinsley on various topics in the morning.\n3316,2010/12/25,\"I talked to Rylee, Eva, Nora for 50 minutes late in the evening.\",\"I talked to Rylee, Eva, Nora for 50 minutes late in the evening.\"\n3317,2010/12/25,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n3318,2010/12/25,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n3319,2010/12/26,I really enjoyed learning a language on 2010/12/26,I really enjoyed learning a language on 2010/12/26\n3320,2010/12/26,\"I went grocery shopping with Andrew. I bought some strawberries, apricots, oranges, guava juice, and toilet paper\",\"I went grocery shopping with Andrew. I bought some strawberries, apricots, oranges, guava juice, and toilet paper\"\n3321,2010/12/26,I did running on 2010/12/26.,I did running on 2010/12/26.\n3322,2010/12/26,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n3323,2010/12/26,\"I had lunch with Rylee, Claire, Piper, Eva, Lydia, Nevaeh, Piper, Nora, Hazel, Layla, Avery, Kinsley. I ate chinese food.\",\"I had lunch with Rylee, Claire, Piper, Eva, Lydia, Nevaeh, Piper, Nora, Hazel, Layla, Avery, Kinsley. I ate chinese food.\"\n3324,2010/12/26,I ate indian food for dinner.,I ate indian food for dinner.\n3325,2010/12/26,\"I spent 31 talking to Kinsley, Nevaeh on various topics in the morning.\",\"I spent 31 talking to Kinsley, Nevaeh on various topics in the morning.\"\n3326,2010/12/26,\"I spent 51 talking to Piper, Piper, Hazel, Layla on various topics in the late afternoon.\",\"I spent 51 talking to Piper, Piper, Hazel, Layla on various topics in the late afternoon.\"\n3327,2010/12/26,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n3328,2010/12/26,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n3329,2010/12/27,\"I went grocery shopping with Emily, Carter, Kayden. I bought some apricots, pears, pineapples, pineapple juice, and mouthwash, mouth wash, toothbrush\",\"I went grocery shopping with Emily, Carter, Kayden. I bought some apricots, pears, pineapples, pineapple juice, and mouthwash, mouth wash, toothbrush\"\n3330,2010/12/27,I did running on 2010/12/27.,I did running on 2010/12/27.\n3331,2010/12/27,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n3332,2010/12/27,I prepare indian food for lunch.,I prepare indian food for lunch.\n3333,2010/12/27,\"I had dinner with Emily, Andrew. I ate chinese food.\",\"I had dinner with Emily, Andrew. I ate chinese food.\"\n3334,2010/12/27,I spent 49 talking to Olivia on various topics late in the evening.,I spent 49 talking to Olivia on various topics late in the evening.\n3335,2010/12/27,\"I spent 10 talking to Lydia, Rylee, Piper on various topics in the morning.\",\"I spent 10 talking to Lydia, Rylee, Piper on various topics in the morning.\"\n3336,2010/12/27,\"I spent 37 talking to Piper, Claire, Rylee on various topics during lunch hours.\",\"I spent 37 talking to Piper, Claire, Rylee on various topics during lunch hours.\"\n3337,2010/12/27,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n3338,2010/12/27,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n3339,2010/12/28,\"On 2010/12/28, I took Grayson on a date to a restaurant\",\"On 2010/12/28, I took Grayson on a date to a restaurant\"\n3340,2010/12/28,I did hiking on 2010/12/28.,I did hiking on 2010/12/28.\n3341,2010/12/28,\"I had pancakes for breakfast with Eva, Claire, Nora, Olivia, Piper, Avery, Nevaeh, Kinsley, Piper\",\"I had pancakes for breakfast with Eva, Claire, Nora, Olivia, Piper, Avery, Nevaeh, Kinsley, Piper\"\n3342,2010/12/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n3343,2010/12/28,\"I had sandwich for dinner with Avery, Claire, Piper, Nevaeh, Layla\",\"I had sandwich for dinner with Avery, Claire, Piper, Nevaeh, Layla\"\n3344,2010/12/28,\"I spent 51 talking to Piper, Rylee on various topics in the early evening.\",\"I spent 51 talking to Piper, Rylee on various topics in the early evening.\"\n3345,2010/12/28,\"I talked to Claire, Layla for 23 minutes in the early afternoon.\",\"I talked to Claire, Layla for 23 minutes in the early afternoon.\"\n3346,2010/12/28,\"I spent 24 talking to Claire, Avery on various topics in the morning.\",\"I spent 24 talking to Claire, Avery on various topics in the morning.\"\n3347,2010/12/28,\"I spent 48 talking to Nevaeh, Layla, Piper, Olivia on various topics late in the evening.\",\"I spent 48 talking to Nevaeh, Layla, Piper, Olivia on various topics late in the evening.\"\n3348,2010/12/28,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n3349,2010/12/28,I spent 40 minutes watching a movie on TV today.,I spent 40 minutes watching a movie on TV today.\n3350,2010/12/29,\"I spent time yoga on 2010/12/29 with Emily, Carter, Kayden.\",\"I spent time yoga on 2010/12/29 with Emily, Carter, Kayden.\"\n3351,2010/12/29,I did weight lifting on 2010/12/29.,I did weight lifting on 2010/12/29.\n3352,2010/12/29,\"I had oatmeal for breakfast with Andrew, Emily\",\"I had oatmeal for breakfast with Andrew, Emily\"\n3353,2010/12/29,\"I had lunch with Hazel, Lydia, Piper, Avery, Rylee, Piper, Eva. I ate steak.\",\"I had lunch with Hazel, Lydia, Piper, Avery, Rylee, Piper, Eva. I ate steak.\"\n3354,2010/12/29,I ate sushi for dinner.,I ate sushi for dinner.\n3355,2010/12/29,\"I spent 46 talking to Layla, Eva, Piper, Hazel on various topics in the late afternoon.\",\"I spent 46 talking to Layla, Eva, Piper, Hazel on various topics in the late afternoon.\"\n3356,2010/12/29,\"I spent 54 talking to Piper, Lydia, Piper, Kinsley on various topics in the morning.\",\"I spent 54 talking to Piper, Lydia, Piper, Kinsley on various topics in the morning.\"\n3357,2010/12/29,I spent 16 talking to Lydia on various topics in the early afternoon.,I spent 16 talking to Lydia on various topics in the early afternoon.\n3358,2010/12/29,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n3359,2010/12/29,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n3360,2010/12/30,I did hiking on 2010/12/30.,I did hiking on 2010/12/30.\n3361,2010/12/30,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n3362,2010/12/30,I prepare indian food for lunch.,I prepare indian food for lunch.\n3363,2010/12/30,I prepare steak for dinner.,I prepare steak for dinner.\n3364,2010/12/30,\"I spent 6 talking to Claire, Kinsley on various topics during lunch hours.\",\"I spent 6 talking to Claire, Kinsley on various topics during lunch hours.\"\n3365,2010/12/30,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n3366,2010/12/30,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n3367,2010/12/31,I spent time yoga on 2010/12/31 with Avery.,I spent time yoga on 2010/12/31 with Avery.\n3368,2010/12/31,I did biking on 2010/12/31.,I did biking on 2010/12/31.\n3369,2010/12/31,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n3370,2010/12/31,\"I had sushi for lunch with Carter, Andrew\",\"I had sushi for lunch with Carter, Andrew\"\n3371,2010/12/31,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n3372,2010/12/31,I spent 8 talking to Lydia on various topics late in the evening.,I spent 8 talking to Lydia on various topics late in the evening.\n3373,2010/12/31,\"I talked to Layla, Lydia for 5 minutes in the morning.\",\"I talked to Layla, Lydia for 5 minutes in the morning.\"\n3374,2010/12/31,\"I talked to Avery, Claire, Eva, Layla for 12 minutes during lunch hours.\",\"I talked to Avery, Claire, Eva, Layla for 12 minutes during lunch hours.\"\n3375,2010/12/31,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n3376,2010/12/31,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n3377,2011/01/01,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n3378,2011/01/01,\"I bought some guava, sports drinks, pineapple juice, chocolate milk, milk, toilet paper, body lotion, shaving cream, mouthwash online.\",\"I bought some guava, sports drinks, pineapple juice, chocolate milk, milk, toilet paper, body lotion, shaving cream, mouthwash online.\"\n3379,2011/01/01,I did running on 2011/01/01.,I did running on 2011/01/01.\n3380,2011/01/01,\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate toast and cheese.\",\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate toast and cheese.\"\n3381,2011/01/01,\"I had chinese food for lunch with Layla, Avery, Nora, Nevaeh\",\"I had chinese food for lunch with Layla, Avery, Nora, Nevaeh\"\n3382,2011/01/01,\"I had indian food for dinner with Carter, Andrew, Emily\",\"I had indian food for dinner with Carter, Andrew, Emily\"\n3383,2011/01/01,\"I spent 30 talking to Piper, Hazel on various topics in the late afternoon.\",\"I spent 30 talking to Piper, Hazel on various topics in the late afternoon.\"\n3384,2011/01/01,\"I talked to Avery, Rylee, Layla for 17 minutes in the morning.\",\"I talked to Avery, Rylee, Layla for 17 minutes in the morning.\"\n3385,2011/01/01,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n3386,2011/01/01,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n3387,2011/01/02,I did weight lifting on 2011/01/02.,I did weight lifting on 2011/01/02.\n3388,2011/01/02,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n3389,2011/01/02,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n3390,2011/01/02,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n3391,2011/01/02,I talked to Nora for 47 minutes in the late afternoon.,I talked to Nora for 47 minutes in the late afternoon.\n3392,2011/01/02,\"I talked to Nevaeh, Olivia, Hazel, Layla for 12 minutes during lunch hours.\",\"I talked to Nevaeh, Olivia, Hazel, Layla for 12 minutes during lunch hours.\"\n3393,2011/01/02,\"I spent 17 talking to Layla, Piper, Rylee, Nora on various topics late in the evening.\",\"I spent 17 talking to Layla, Piper, Rylee, Nora on various topics late in the evening.\"\n3394,2011/01/02,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n3395,2011/01/02,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n3396,2011/01/03,I did hiking on 2011/01/03.,I did hiking on 2011/01/03.\n3397,2011/01/03,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n3398,2011/01/03,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n3399,2011/01/03,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n3400,2011/01/03,I spent 36 talking to Layla on various topics in the late afternoon.,I spent 36 talking to Layla on various topics in the late afternoon.\n3401,2011/01/03,\"I spent 26 talking to Piper, Layla on various topics late in the evening.\",\"I spent 26 talking to Piper, Layla on various topics late in the evening.\"\n3402,2011/01/03,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n3403,2011/01/03,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n3404,2011/01/04,I did running on 2011/01/04.,I did running on 2011/01/04.\n3405,2011/01/04,\"I had breakfast with Rylee, Piper, Nevaeh, Layla, Lydia, Kinsley, Claire, Hazel, Olivia, Nora, Avery, Piper, Eva. I ate peanut-butter-jam.\",\"I had breakfast with Rylee, Piper, Nevaeh, Layla, Lydia, Kinsley, Claire, Hazel, Olivia, Nora, Avery, Piper, Eva. I ate peanut-butter-jam.\"\n3406,2011/01/04,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n3407,2011/01/04,I prepare indian food for dinner.,I prepare indian food for dinner.\n3408,2011/01/04,\"I spent 33 talking to Hazel, Piper on various topics during lunch hours.\",\"I spent 33 talking to Hazel, Piper on various topics during lunch hours.\"\n3409,2011/01/04,\"I spent 54 talking to Nevaeh, Lydia on various topics late in the evening.\",\"I spent 54 talking to Nevaeh, Lydia on various topics late in the evening.\"\n3410,2011/01/04,I talked to Eva for 41 minutes in the early afternoon.,I talked to Eva for 41 minutes in the early afternoon.\n3411,2011/01/04,\"I spent 20 talking to Lydia, Claire, Hazel on various topics in the morning.\",\"I spent 20 talking to Lydia, Claire, Hazel on various topics in the morning.\"\n3412,2011/01/04,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n3413,2011/01/04,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n3414,2011/01/05,\"I spent time yoga on 2011/01/05 with Eva, Piper, Rylee.\",\"I spent time yoga on 2011/01/05 with Eva, Piper, Rylee.\"\n3415,2011/01/05,I did HIIT on 2011/01/05.,I did HIIT on 2011/01/05.\n3416,2011/01/05,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n3417,2011/01/05,I prepare indian food for lunch.,I prepare indian food for lunch.\n3418,2011/01/05,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n3419,2011/01/05,\"I talked to Hazel, Layla for 44 minutes in the early afternoon.\",\"I talked to Hazel, Layla for 44 minutes in the early afternoon.\"\n3420,2011/01/05,I spent 46 talking to Olivia on various topics in the late afternoon.,I spent 46 talking to Olivia on various topics in the late afternoon.\n3421,2011/01/05,\"I talked to Layla, Eva, Rylee, Nevaeh for 5 minutes in the morning.\",\"I talked to Layla, Eva, Rylee, Nevaeh for 5 minutes in the morning.\"\n3422,2011/01/05,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n3423,2011/01/05,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n3424,2011/01/06,\"I went grocery shopping with Carter, Emily. I bought some guava, nectarines, chocolate milk, and paper towel, toothbrush\",\"I went grocery shopping with Carter, Emily. I bought some guava, nectarines, chocolate milk, and paper towel, toothbrush\"\n3425,2011/01/06,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n3426,2011/01/06,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n3427,2011/01/06,I ate tacos for dinner.,I ate tacos for dinner.\n3428,2011/01/06,\"I spent 36 talking to Claire, Rylee, Piper, Lydia on various topics in the early afternoon.\",\"I spent 36 talking to Claire, Rylee, Piper, Lydia on various topics in the early afternoon.\"\n3429,2011/01/06,\"I spent 55 talking to Eva, Nora on various topics in the morning.\",\"I spent 55 talking to Eva, Nora on various topics in the morning.\"\n3430,2011/01/06,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n3431,2011/01/06,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n3432,2011/01/07,\"On 2011/01/07, I took Gianna on a date to a park\",\"On 2011/01/07, I took Gianna on a date to a park\"\n3433,2011/01/07,I did swimming on 2011/01/07.,I did swimming on 2011/01/07.\n3434,2011/01/07,\"I had breakfast with Rylee, Nora, Nevaeh, Piper, Piper, Layla, Olivia, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Rylee, Nora, Nevaeh, Piper, Piper, Layla, Olivia, Avery. I ate peanut-butter-jam.\"\n3435,2011/01/07,\"I had lunch with Piper, Rylee, Piper, Hazel, Kinsley, Eva, Layla, Avery, Lydia, Nevaeh. I ate pasta.\",\"I had lunch with Piper, Rylee, Piper, Hazel, Kinsley, Eva, Layla, Avery, Lydia, Nevaeh. I ate pasta.\"\n3436,2011/01/07,I ate a burger for dinner.,I ate a burger for dinner.\n3437,2011/01/07,\"I spent 28 talking to Olivia, Avery, Piper on various topics in the morning.\",\"I spent 28 talking to Olivia, Avery, Piper on various topics in the morning.\"\n3438,2011/01/07,\"I talked to Piper, Nevaeh, Avery for 41 minutes during lunch hours.\",\"I talked to Piper, Nevaeh, Avery for 41 minutes during lunch hours.\"\n3439,2011/01/07,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n3440,2011/01/07,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n3441,2011/01/08,\"On 2011/01/08, I took Lillian on a date to a park\",\"On 2011/01/08, I took Lillian on a date to a park\"\n3442,2011/01/08,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n3443,2011/01/08,I had lunch. I ate steak.,I had lunch. I ate steak.\n3444,2011/01/08,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n3445,2011/01/08,I talked to Claire for 19 minutes during lunch hours.,I talked to Claire for 19 minutes during lunch hours.\n3446,2011/01/08,\"I talked to Nora, Nevaeh for 37 minutes during lunch hours.\",\"I talked to Nora, Nevaeh for 37 minutes during lunch hours.\"\n3447,2011/01/08,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n3448,2011/01/08,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n3449,2011/01/09,I did running on 2011/01/09.,I did running on 2011/01/09.\n3450,2011/01/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n3451,2011/01/09,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n3452,2011/01/09,I ate indian food for dinner.,I ate indian food for dinner.\n3453,2011/01/09,\"I talked to Eva, Nevaeh, Layla, Piper for 55 minutes late in the evening.\",\"I talked to Eva, Nevaeh, Layla, Piper for 55 minutes late in the evening.\"\n3454,2011/01/09,I spent 20 talking to Rylee on various topics in the early afternoon.,I spent 20 talking to Rylee on various topics in the early afternoon.\n3455,2011/01/09,\"I talked to Claire, Nevaeh, Rylee, Nora for 27 minutes in the early evening.\",\"I talked to Claire, Nevaeh, Rylee, Nora for 27 minutes in the early evening.\"\n3456,2011/01/09,\"I talked to Piper, Lydia, Piper for 16 minutes in the late afternoon.\",\"I talked to Piper, Lydia, Piper for 16 minutes in the late afternoon.\"\n3457,2011/01/09,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n3458,2011/01/09,I watched a movie for 30 minutes on TV today.,I watched a movie for 30 minutes on TV today.\n3459,2011/01/10,\"I went grocery shopping with Emily, Andrew. I bought some raspberries, cherres, apricots, orange juice, pineapple juice, sports drinks, tea, and paper towel, facial wash\",\"I went grocery shopping with Emily, Andrew. I bought some raspberries, cherres, apricots, orange juice, pineapple juice, sports drinks, tea, and paper towel, facial wash\"\n3460,2011/01/10,I did HIIT on 2011/01/10.,I did HIIT on 2011/01/10.\n3461,2011/01/10,I had breakfast with Jackson. I ate pancakes.,I had breakfast with Jackson. I ate pancakes.\n3462,2011/01/10,I ate pasta for lunch.,I ate pasta for lunch.\n3463,2011/01/10,I ate steak for dinner.,I ate steak for dinner.\n3464,2011/01/10,\"I talked to Layla, Claire, Avery for 17 minutes during lunch hours.\",\"I talked to Layla, Claire, Avery for 17 minutes during lunch hours.\"\n3465,2011/01/10,\"I spent 42 talking to Hazel, Lydia, Olivia on various topics in the late afternoon.\",\"I spent 42 talking to Hazel, Lydia, Olivia on various topics in the late afternoon.\"\n3466,2011/01/10,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n3467,2011/01/10,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n3468,2011/01/11,I really enjoyed gardening on 2011/01/11,I really enjoyed gardening on 2011/01/11\n3469,2011/01/11,I did running on 2011/01/11.,I did running on 2011/01/11.\n3470,2011/01/11,\"I had cereals for breakfast with Benjamin, Willow\",\"I had cereals for breakfast with Benjamin, Willow\"\n3471,2011/01/11,I prepare pasta for lunch.,I prepare pasta for lunch.\n3472,2011/01/11,I ate sushi for dinner.,I ate sushi for dinner.\n3473,2011/01/11,\"I talked to Lydia, Kinsley, Eva, Rylee for 5 minutes in the morning.\",\"I talked to Lydia, Kinsley, Eva, Rylee for 5 minutes in the morning.\"\n3474,2011/01/11,\"I talked to Hazel, Nevaeh, Olivia for 17 minutes during lunch hours.\",\"I talked to Hazel, Nevaeh, Olivia for 17 minutes during lunch hours.\"\n3475,2011/01/11,\"I talked to Piper, Rylee, Claire for 29 minutes in the early afternoon.\",\"I talked to Piper, Rylee, Claire for 29 minutes in the early afternoon.\"\n3476,2011/01/11,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n3477,2011/01/11,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n3478,2011/01/12,I did HIIT on 2011/01/12.,I did HIIT on 2011/01/12.\n3479,2011/01/12,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n3480,2011/01/12,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n3481,2011/01/12,\"I had dinner with Avery, Jackson, Willow. I ate sushi.\",\"I had dinner with Avery, Jackson, Willow. I ate sushi.\"\n3482,2011/01/12,\"I spent 12 talking to Avery, Nevaeh on various topics in the early evening.\",\"I spent 12 talking to Avery, Nevaeh on various topics in the early evening.\"\n3483,2011/01/12,\"I spent 41 talking to Nora, Piper, Layla, Piper on various topics in the early evening.\",\"I spent 41 talking to Nora, Piper, Layla, Piper on various topics in the early evening.\"\n3484,2011/01/12,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n3485,2011/01/12,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n3486,2011/01/13,\"I went grocery shopping. I bought some pineapples, raspberries, guava, milk, apple juice, and toothpaste\",\"I went grocery shopping. I bought some pineapples, raspberries, guava, milk, apple juice, and toothpaste\"\n3487,2011/01/13,I did biking on 2011/01/13.,I did biking on 2011/01/13.\n3488,2011/01/13,\"I had pancakes for breakfast with Willow, Jackson\",\"I had pancakes for breakfast with Willow, Jackson\"\n3489,2011/01/13,\"I had lunch with Nora, Layla, Kinsley, Claire, Piper, Rylee. I ate pasta.\",\"I had lunch with Nora, Layla, Kinsley, Claire, Piper, Rylee. I ate pasta.\"\n3490,2011/01/13,I ate pasta for dinner.,I ate pasta for dinner.\n3491,2011/01/13,I spent 18 talking to Avery on various topics in the morning.,I spent 18 talking to Avery on various topics in the morning.\n3492,2011/01/13,I talked to Eva for 41 minutes in the early afternoon.,I talked to Eva for 41 minutes in the early afternoon.\n3493,2011/01/13,\"I spent 14 talking to Claire, Olivia on various topics in the late afternoon.\",\"I spent 14 talking to Claire, Olivia on various topics in the late afternoon.\"\n3494,2011/01/13,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n3495,2011/01/13,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n3496,2011/01/14,I did weight lifting on 2011/01/14.,I did weight lifting on 2011/01/14.\n3497,2011/01/14,\"I had breakfast with Willow, Avery, Benjamin. I ate oatmeal.\",\"I had breakfast with Willow, Avery, Benjamin. I ate oatmeal.\"\n3498,2011/01/14,\"I had lunch with Kayden, Emily, Carter. I ate tacos.\",\"I had lunch with Kayden, Emily, Carter. I ate tacos.\"\n3499,2011/01/14,\"I had dinner with Piper, Kinsley, Avery, Hazel, Piper. I ate indian food.\",\"I had dinner with Piper, Kinsley, Avery, Hazel, Piper. I ate indian food.\"\n3500,2011/01/14,I talked to Claire for 34 minutes in the early evening.,I talked to Claire for 34 minutes in the early evening.\n3501,2011/01/14,\"I talked to Rylee, Layla, Lydia for 10 minutes late in the evening.\",\"I talked to Rylee, Layla, Lydia for 10 minutes late in the evening.\"\n3502,2011/01/14,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n3503,2011/01/14,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n3504,2011/01/15,I did HIIT on 2011/01/15.,I did HIIT on 2011/01/15.\n3505,2011/01/15,I had breakfast with Kayden. I ate toast and cheese.,I had breakfast with Kayden. I ate toast and cheese.\n3506,2011/01/15,I had lunch with Willow. I ate sandwich.,I had lunch with Willow. I ate sandwich.\n3507,2011/01/15,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n3508,2011/01/15,\"I talked to Lydia, Claire, Nevaeh, Nora for 51 minutes in the morning.\",\"I talked to Lydia, Claire, Nevaeh, Nora for 51 minutes in the morning.\"\n3509,2011/01/15,\"I talked to Nevaeh, Avery, Hazel for 17 minutes in the early evening.\",\"I talked to Nevaeh, Avery, Hazel for 17 minutes in the early evening.\"\n3510,2011/01/15,I spent 12 talking to Nevaeh on various topics in the early evening.,I spent 12 talking to Nevaeh on various topics in the early evening.\n3511,2011/01/15,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n3512,2011/01/15,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n3513,2011/01/16,I did hiking on 2011/01/16.,I did hiking on 2011/01/16.\n3514,2011/01/16,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n3515,2011/01/16,\"I had lunch with Nora, Layla. I ate tacos.\",\"I had lunch with Nora, Layla. I ate tacos.\"\n3516,2011/01/16,\"I had dinner with Andrew, Kayden. I ate sushi.\",\"I had dinner with Andrew, Kayden. I ate sushi.\"\n3517,2011/01/16,I spent 39 talking to Piper on various topics during lunch hours.,I spent 39 talking to Piper on various topics during lunch hours.\n3518,2011/01/16,\"I spent 54 talking to Claire, Kinsley, Lydia, Layla on various topics in the late afternoon.\",\"I spent 54 talking to Claire, Kinsley, Lydia, Layla on various topics in the late afternoon.\"\n3519,2011/01/16,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n3520,2011/01/16,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n3521,2011/01/17,I spent some time yoga on 2011/01/17.,I spent some time yoga on 2011/01/17.\n3522,2011/01/17,I did swimming on 2011/01/17.,I did swimming on 2011/01/17.\n3523,2011/01/17,\"I had breakfast with Benjamin. I ate eggs, sausages, and bread.\",\"I had breakfast with Benjamin. I ate eggs, sausages, and bread.\"\n3524,2011/01/17,I prepare indian food for lunch.,I prepare indian food for lunch.\n3525,2011/01/17,I had dinner with Jackson. I ate tacos.,I had dinner with Jackson. I ate tacos.\n3526,2011/01/17,\"I spent 22 talking to Kinsley, Layla on various topics late in the evening.\",\"I spent 22 talking to Kinsley, Layla on various topics late in the evening.\"\n3527,2011/01/17,\"I spent 28 talking to Avery, Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 28 talking to Avery, Piper, Nevaeh on various topics in the early afternoon.\"\n3528,2011/01/17,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n3529,2011/01/17,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n3530,2011/01/18,\"I went grocery shopping. I bought some mangos, orange juice, and mouthwash, shaving cream\",\"I went grocery shopping. I bought some mangos, orange juice, and mouthwash, shaving cream\"\n3531,2011/01/18,I did weight lifting on 2011/01/18.,I did weight lifting on 2011/01/18.\n3532,2011/01/18,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n3533,2011/01/18,I had lunch with Jackson. I ate sushi.,I had lunch with Jackson. I ate sushi.\n3534,2011/01/18,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n3535,2011/01/18,\"I spent 43 talking to Lydia, Layla, Nevaeh on various topics late in the evening.\",\"I spent 43 talking to Lydia, Layla, Nevaeh on various topics late in the evening.\"\n3536,2011/01/18,I talked to Kinsley for 27 minutes late in the evening.,I talked to Kinsley for 27 minutes late in the evening.\n3537,2011/01/18,I spent 54 talking to Piper on various topics late in the evening.,I spent 54 talking to Piper on various topics late in the evening.\n3538,2011/01/18,I talked to Olivia for 10 minutes in the early afternoon.,I talked to Olivia for 10 minutes in the early afternoon.\n3539,2011/01/18,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n3540,2011/01/18,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n3541,2011/01/19,I did weight lifting on 2011/01/19.,I did weight lifting on 2011/01/19.\n3542,2011/01/19,\"I had breakfast with Jackson, Benjamin, Avery, Willow. I ate oatmeal.\",\"I had breakfast with Jackson, Benjamin, Avery, Willow. I ate oatmeal.\"\n3543,2011/01/19,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n3544,2011/01/19,I prepare sushi for dinner.,I prepare sushi for dinner.\n3545,2011/01/19,\"I spent 12 talking to Nora, Layla, Nevaeh on various topics in the early evening.\",\"I spent 12 talking to Nora, Layla, Nevaeh on various topics in the early evening.\"\n3546,2011/01/19,\"I talked to Claire, Lydia, Avery for 46 minutes in the late afternoon.\",\"I talked to Claire, Lydia, Avery for 46 minutes in the late afternoon.\"\n3547,2011/01/19,I talked to Nevaeh for 19 minutes in the morning.,I talked to Nevaeh for 19 minutes in the morning.\n3548,2011/01/19,\"I spent 51 talking to Hazel, Piper, Lydia on various topics during lunch hours.\",\"I spent 51 talking to Hazel, Piper, Lydia on various topics during lunch hours.\"\n3549,2011/01/19,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n3550,2011/01/19,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n3551,2011/01/20,I spent time learning a language on 2011/01/20 with Kayden.,I spent time learning a language on 2011/01/20 with Kayden.\n3552,2011/01/20,I did biking on 2011/01/20.,I did biking on 2011/01/20.\n3553,2011/01/20,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n3554,2011/01/20,I ate pasta for lunch.,I ate pasta for lunch.\n3555,2011/01/20,\"I had steak for dinner with Piper, Layla, Hazel, Piper, Eva\",\"I had steak for dinner with Piper, Layla, Hazel, Piper, Eva\"\n3556,2011/01/20,\"I spent 43 talking to Kinsley, Lydia, Nora on various topics in the early evening.\",\"I spent 43 talking to Kinsley, Lydia, Nora on various topics in the early evening.\"\n3557,2011/01/20,I spent 20 talking to Piper on various topics in the late afternoon.,I spent 20 talking to Piper on various topics in the late afternoon.\n3558,2011/01/20,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n3559,2011/01/20,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n3560,2011/01/21,I did biking on 2011/01/21.,I did biking on 2011/01/21.\n3561,2011/01/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n3562,2011/01/21,\"I had lunch with Lydia, Kinsley, Rylee, Claire, Layla, Hazel, Olivia, Piper, Nevaeh, Piper, Nora, Avery, Eva. I ate fish and chips.\",\"I had lunch with Lydia, Kinsley, Rylee, Claire, Layla, Hazel, Olivia, Piper, Nevaeh, Piper, Nora, Avery, Eva. I ate fish and chips.\"\n3563,2011/01/21,I ate pasta for dinner.,I ate pasta for dinner.\n3564,2011/01/21,\"I talked to Piper, Nevaeh, Lydia for 53 minutes in the late afternoon.\",\"I talked to Piper, Nevaeh, Lydia for 53 minutes in the late afternoon.\"\n3565,2011/01/21,\"I talked to Claire, Lydia, Olivia for 47 minutes in the early afternoon.\",\"I talked to Claire, Lydia, Olivia for 47 minutes in the early afternoon.\"\n3566,2011/01/21,\"I spent 14 talking to Avery, Claire on various topics in the morning.\",\"I spent 14 talking to Avery, Claire on various topics in the morning.\"\n3567,2011/01/21,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n3568,2011/01/21,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n3569,2011/01/22,I did biking on 2011/01/22.,I did biking on 2011/01/22.\n3570,2011/01/22,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n3571,2011/01/22,\"I had lunch with Carter, Andrew. I ate indian food.\",\"I had lunch with Carter, Andrew. I ate indian food.\"\n3572,2011/01/22,I prepare pasta for dinner.,I prepare pasta for dinner.\n3573,2011/01/22,I spent 39 talking to Avery on various topics in the early afternoon.,I spent 39 talking to Avery on various topics in the early afternoon.\n3574,2011/01/22,\"I spent 28 talking to Rylee, Avery on various topics in the early evening.\",\"I spent 28 talking to Rylee, Avery on various topics in the early evening.\"\n3575,2011/01/22,I spent 33 talking to Piper on various topics in the morning.,I spent 33 talking to Piper on various topics in the morning.\n3576,2011/01/22,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n3577,2011/01/22,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n3578,2011/01/23,\"I bought some guava, coffee, apple juice, orange juice, chocolate milk, mouth wash, shaving cream, facial wash, toothpaste from the grocery store. I saw Andrew, Kayden, Emily, Carter at the grocery store.\",\"I bought some guava, coffee, apple juice, orange juice, chocolate milk, mouth wash, shaving cream, facial wash, toothpaste from the grocery store. I saw Andrew, Kayden, Emily, Carter at the grocery store.\"\n3579,2011/01/23,\"I had eggs, sausages, and bread for breakfast with Emily\",\"I had eggs, sausages, and bread for breakfast with Emily\"\n3580,2011/01/23,I prepare steak for lunch.,I prepare steak for lunch.\n3581,2011/01/23,\"I had steak for dinner with Emily, Andrew\",\"I had steak for dinner with Emily, Andrew\"\n3582,2011/01/23,I talked to Piper for 26 minutes during lunch hours.,I talked to Piper for 26 minutes during lunch hours.\n3583,2011/01/23,\"I talked to Rylee, Hazel, Nora, Eva for 54 minutes during lunch hours.\",\"I talked to Rylee, Hazel, Nora, Eva for 54 minutes during lunch hours.\"\n3584,2011/01/23,\"I talked to Rylee, Avery, Claire for 9 minutes in the morning.\",\"I talked to Rylee, Avery, Claire for 9 minutes in the morning.\"\n3585,2011/01/23,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n3586,2011/01/23,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n3587,2011/01/24,\"On 2011/01/24, I took Jose on a date to a restaurant\",\"On 2011/01/24, I took Jose on a date to a restaurant\"\n3588,2011/01/24,I did running on 2011/01/24.,I did running on 2011/01/24.\n3589,2011/01/24,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n3590,2011/01/24,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n3591,2011/01/24,I ate indian food for dinner.,I ate indian food for dinner.\n3592,2011/01/24,\"I talked to Piper, Kinsley, Avery, Claire for 6 minutes in the early afternoon.\",\"I talked to Piper, Kinsley, Avery, Claire for 6 minutes in the early afternoon.\"\n3593,2011/01/24,I talked to Piper for 18 minutes in the late afternoon.,I talked to Piper for 18 minutes in the late afternoon.\n3594,2011/01/24,\"I spent 55 talking to Eva, Kinsley, Layla, Piper on various topics in the early afternoon.\",\"I spent 55 talking to Eva, Kinsley, Layla, Piper on various topics in the early afternoon.\"\n3595,2011/01/24,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n3596,2011/01/24,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n3597,2011/01/25,I did swimming on 2011/01/25.,I did swimming on 2011/01/25.\n3598,2011/01/25,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n3599,2011/01/25,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n3600,2011/01/25,\"I had dinner with Nevaeh, Rylee, Layla, Eva, Olivia, Lydia, Avery, Hazel, Piper. I ate fish and chips.\",\"I had dinner with Nevaeh, Rylee, Layla, Eva, Olivia, Lydia, Avery, Hazel, Piper. I ate fish and chips.\"\n3601,2011/01/25,\"I spent 28 talking to Eva, Olivia on various topics during lunch hours.\",\"I spent 28 talking to Eva, Olivia on various topics during lunch hours.\"\n3602,2011/01/25,\"I spent 36 talking to Eva, Rylee, Lydia, Claire on various topics late in the evening.\",\"I spent 36 talking to Eva, Rylee, Lydia, Claire on various topics late in the evening.\"\n3603,2011/01/25,\"I spent 17 talking to Nora, Claire, Piper, Avery on various topics in the early evening.\",\"I spent 17 talking to Nora, Claire, Piper, Avery on various topics in the early evening.\"\n3604,2011/01/25,\"I spent 45 talking to Avery, Claire, Eva on various topics in the early afternoon.\",\"I spent 45 talking to Avery, Claire, Eva on various topics in the early afternoon.\"\n3605,2011/01/25,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n3606,2011/01/25,I spent 41 minutes watching a movie on TV today.,I spent 41 minutes watching a movie on TV today.\n3607,2011/01/26,I did weight lifting on 2011/01/26.,I did weight lifting on 2011/01/26.\n3608,2011/01/26,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n3609,2011/01/26,I ate sushi for lunch.,I ate sushi for lunch.\n3610,2011/01/26,\"I had dinner with Jackson, Avery, Benjamin. I ate sandwich.\",\"I had dinner with Jackson, Avery, Benjamin. I ate sandwich.\"\n3611,2011/01/26,\"I talked to Claire, Nevaeh, Layla, Avery for 41 minutes in the morning.\",\"I talked to Claire, Nevaeh, Layla, Avery for 41 minutes in the morning.\"\n3612,2011/01/26,\"I talked to Kinsley, Olivia for 28 minutes in the morning.\",\"I talked to Kinsley, Olivia for 28 minutes in the morning.\"\n3613,2011/01/26,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n3614,2011/01/26,I spent 27 minutes watching a documentary on TV today.,I spent 27 minutes watching a documentary on TV today.\n3615,2011/01/27,I did weight lifting on 2011/01/27.,I did weight lifting on 2011/01/27.\n3616,2011/01/27,\"I had breakfast with Rylee, Layla, Hazel, Olivia, Lydia. I ate oatmeal.\",\"I had breakfast with Rylee, Layla, Hazel, Olivia, Lydia. I ate oatmeal.\"\n3617,2011/01/27,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n3618,2011/01/27,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n3619,2011/01/27,I spent 23 talking to Piper on various topics late in the evening.,I spent 23 talking to Piper on various topics late in the evening.\n3620,2011/01/27,\"I spent 55 talking to Layla, Piper on various topics in the early afternoon.\",\"I spent 55 talking to Layla, Piper on various topics in the early afternoon.\"\n3621,2011/01/27,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n3622,2011/01/27,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n3623,2011/01/28,I went on a date with Ariana on 2011/01/28 at a restaurant,I went on a date with Ariana on 2011/01/28 at a restaurant\n3624,2011/01/28,I spent some time working out on 2011/01/28.,I spent some time working out on 2011/01/28.\n3625,2011/01/28,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n3626,2011/01/28,I had lunch with Kayden. I ate fish and chips.,I had lunch with Kayden. I ate fish and chips.\n3627,2011/01/28,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n3628,2011/01/28,\"I talked to Claire, Avery, Piper, Nora for 19 minutes in the early afternoon.\",\"I talked to Claire, Avery, Piper, Nora for 19 minutes in the early afternoon.\"\n3629,2011/01/28,\"I spent 53 talking to Avery, Nevaeh on various topics late in the evening.\",\"I spent 53 talking to Avery, Nevaeh on various topics late in the evening.\"\n3630,2011/01/28,\"I spent 45 talking to Olivia, Rylee, Eva on various topics in the early afternoon.\",\"I spent 45 talking to Olivia, Rylee, Eva on various topics in the early afternoon.\"\n3631,2011/01/28,\"I talked to Layla, Avery, Nevaeh for 39 minutes during lunch hours.\",\"I talked to Layla, Avery, Nevaeh for 39 minutes during lunch hours.\"\n3632,2011/01/28,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n3633,2011/01/28,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n3634,2011/01/29,\"I went grocery shopping with Jackson, Benjamin, Avery. I bought some apricots, blueberries, cherres, mandarins, chocolate milk, mango juice, guava juice, milk, and facial wash, toilet paper, shaving cream, toothpaste\",\"I went grocery shopping with Jackson, Benjamin, Avery. I bought some apricots, blueberries, cherres, mandarins, chocolate milk, mango juice, guava juice, milk, and facial wash, toilet paper, shaving cream, toothpaste\"\n3635,2011/01/29,\"I had toast and cheese for breakfast with Andrew, Kayden\",\"I had toast and cheese for breakfast with Andrew, Kayden\"\n3636,2011/01/29,I ate sushi for lunch.,I ate sushi for lunch.\n3637,2011/01/29,I ate pasta for dinner.,I ate pasta for dinner.\n3638,2011/01/29,\"I talked to Lydia, Piper, Kinsley, Layla for 6 minutes in the morning.\",\"I talked to Lydia, Piper, Kinsley, Layla for 6 minutes in the morning.\"\n3639,2011/01/29,\"I spent 9 talking to Nora, Eva on various topics during lunch hours.\",\"I spent 9 talking to Nora, Eva on various topics during lunch hours.\"\n3640,2011/01/29,I spent 41 talking to Claire on various topics in the early afternoon.,I spent 41 talking to Claire on various topics in the early afternoon.\n3641,2011/01/29,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n3642,2011/01/29,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n3643,2011/01/30,I did biking on 2011/01/30.,I did biking on 2011/01/30.\n3644,2011/01/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n3645,2011/01/30,I had chinese food for lunch with Kayden,I had chinese food for lunch with Kayden\n3646,2011/01/30,I prepare tacos for dinner.,I prepare tacos for dinner.\n3647,2011/01/30,\"I spent 44 talking to Layla, Piper, Nora on various topics in the early evening.\",\"I spent 44 talking to Layla, Piper, Nora on various topics in the early evening.\"\n3648,2011/01/30,\"I talked to Hazel, Kinsley, Rylee for 38 minutes in the early evening.\",\"I talked to Hazel, Kinsley, Rylee for 38 minutes in the early evening.\"\n3649,2011/01/30,I talked to Hazel for 41 minutes in the late afternoon.,I talked to Hazel for 41 minutes in the late afternoon.\n3650,2011/01/30,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n3651,2011/01/30,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n3652,2011/01/31,I did running on 2011/01/31.,I did running on 2011/01/31.\n3653,2011/01/31,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n3654,2011/01/31,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n3655,2011/01/31,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n3656,2011/01/31,\"I spent 19 talking to Hazel, Layla, Rylee on various topics late in the evening.\",\"I spent 19 talking to Hazel, Layla, Rylee on various topics late in the evening.\"\n3657,2011/01/31,\"I talked to Nora, Kinsley, Hazel for 24 minutes during lunch hours.\",\"I talked to Nora, Kinsley, Hazel for 24 minutes during lunch hours.\"\n3658,2011/01/31,\"I talked to Avery, Piper, Kinsley for 41 minutes in the morning.\",\"I talked to Avery, Piper, Kinsley for 41 minutes in the morning.\"\n3659,2011/01/31,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n3660,2011/01/31,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n3661,2011/02/01,I went on a date with Charlotte on 2011/02/01 at a boba shop,I went on a date with Charlotte on 2011/02/01 at a boba shop\n3662,2011/02/01,I did weight lifting on 2011/02/01.,I did weight lifting on 2011/02/01.\n3663,2011/02/01,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n3664,2011/02/01,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n3665,2011/02/01,\"I had sushi for dinner with Andrew, Carter, Kayden, Emily\",\"I had sushi for dinner with Andrew, Carter, Kayden, Emily\"\n3666,2011/02/01,\"I talked to Hazel, Nora, Piper for 49 minutes in the morning.\",\"I talked to Hazel, Nora, Piper for 49 minutes in the morning.\"\n3667,2011/02/01,\"I spent 9 talking to Olivia, Lydia on various topics in the late afternoon.\",\"I spent 9 talking to Olivia, Lydia on various topics in the late afternoon.\"\n3668,2011/02/01,I talked to Hazel for 32 minutes late in the evening.,I talked to Hazel for 32 minutes late in the evening.\n3669,2011/02/01,\"I spent 10 talking to Piper, Nora, Piper on various topics in the early evening.\",\"I spent 10 talking to Piper, Nora, Piper on various topics in the early evening.\"\n3670,2011/02/01,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n3671,2011/02/01,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n3672,2011/02/02,I did weight lifting on 2011/02/02.,I did weight lifting on 2011/02/02.\n3673,2011/02/02,I ate cereals for breakfast.,I ate cereals for breakfast.\n3674,2011/02/02,\"I had chinese food for lunch with Andrew, Carter, Emily, Kayden\",\"I had chinese food for lunch with Andrew, Carter, Emily, Kayden\"\n3675,2011/02/02,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n3676,2011/02/02,\"I spent 7 talking to Hazel, Rylee, Claire, Nevaeh on various topics late in the evening.\",\"I spent 7 talking to Hazel, Rylee, Claire, Nevaeh on various topics late in the evening.\"\n3677,2011/02/02,\"I talked to Piper, Avery, Lydia, Kinsley for 6 minutes in the early afternoon.\",\"I talked to Piper, Avery, Lydia, Kinsley for 6 minutes in the early afternoon.\"\n3678,2011/02/02,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n3679,2011/02/02,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n3680,2011/02/03,I did weight lifting on 2011/02/03.,I did weight lifting on 2011/02/03.\n3681,2011/02/03,\"I had breakfast with Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter. I ate eggs, sausages, and bread.\"\n3682,2011/02/03,I prepare steak for lunch.,I prepare steak for lunch.\n3683,2011/02/03,I prepare tacos for dinner.,I prepare tacos for dinner.\n3684,2011/02/03,\"I spent 20 talking to Avery, Rylee, Nevaeh on various topics in the early evening.\",\"I spent 20 talking to Avery, Rylee, Nevaeh on various topics in the early evening.\"\n3685,2011/02/03,\"I spent 42 talking to Claire, Eva, Nevaeh on various topics in the late afternoon.\",\"I spent 42 talking to Claire, Eva, Nevaeh on various topics in the late afternoon.\"\n3686,2011/02/03,I spent 7 talking to Eva on various topics in the early evening.,I spent 7 talking to Eva on various topics in the early evening.\n3687,2011/02/03,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n3688,2011/02/03,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n3689,2011/02/04,\"I went grocery shopping. I bought some raspberries, mangos, pears, nectarines, pineapple juice, and shampoo, toilet paper\",\"I went grocery shopping. I bought some raspberries, mangos, pears, nectarines, pineapple juice, and shampoo, toilet paper\"\n3690,2011/02/04,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3691,2011/02/04,I had lunch. I ate steak.,I had lunch. I ate steak.\n3692,2011/02/04,I had dinner with Kayden. I ate chinese food.,I had dinner with Kayden. I ate chinese food.\n3693,2011/02/04,I talked to Piper for 18 minutes in the early evening.,I talked to Piper for 18 minutes in the early evening.\n3694,2011/02/04,\"I spent 27 talking to Piper, Kinsley, Olivia on various topics in the early afternoon.\",\"I spent 27 talking to Piper, Kinsley, Olivia on various topics in the early afternoon.\"\n3695,2011/02/04,\"I spent 23 talking to Rylee, Layla, Nevaeh, Lydia on various topics late in the evening.\",\"I spent 23 talking to Rylee, Layla, Nevaeh, Lydia on various topics late in the evening.\"\n3696,2011/02/04,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n3697,2011/02/04,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n3698,2011/02/05,I did HIIT on 2011/02/05.,I did HIIT on 2011/02/05.\n3699,2011/02/05,\"I had breakfast with Eva, Kinsley, Nora, Hazel, Olivia, Piper, Avery, Layla, Lydia, Piper, Claire, Nevaeh. I ate toast and cheese.\",\"I had breakfast with Eva, Kinsley, Nora, Hazel, Olivia, Piper, Avery, Layla, Lydia, Piper, Claire, Nevaeh. I ate toast and cheese.\"\n3700,2011/02/05,I had chinese food for lunch with Carter,I had chinese food for lunch with Carter\n3701,2011/02/05,I had dinner with Kayden. I ate steak.,I had dinner with Kayden. I ate steak.\n3702,2011/02/05,\"I talked to Kinsley, Eva, Claire, Avery for 45 minutes during lunch hours.\",\"I talked to Kinsley, Eva, Claire, Avery for 45 minutes during lunch hours.\"\n3703,2011/02/05,\"I talked to Olivia, Eva for 43 minutes in the late afternoon.\",\"I talked to Olivia, Eva for 43 minutes in the late afternoon.\"\n3704,2011/02/05,\"I talked to Lydia, Piper, Nevaeh for 20 minutes late in the evening.\",\"I talked to Lydia, Piper, Nevaeh for 20 minutes late in the evening.\"\n3705,2011/02/05,\"I talked to Piper, Eva, Nora, Nevaeh for 16 minutes during lunch hours.\",\"I talked to Piper, Eva, Nora, Nevaeh for 16 minutes during lunch hours.\"\n3706,2011/02/05,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n3707,2011/02/05,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n3708,2011/02/06,I went on a date with Landon on 2011/02/06 at a boba shop,I went on a date with Landon on 2011/02/06 at a boba shop\n3709,2011/02/06,\"I went grocery shopping with Carter. I bought some raspberries, pineapple juice, and mouth wash, facial wash\",\"I went grocery shopping with Carter. I bought some raspberries, pineapple juice, and mouth wash, facial wash\"\n3710,2011/02/06,I did swimming on 2011/02/06.,I did swimming on 2011/02/06.\n3711,2011/02/06,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n3712,2011/02/06,I ate sandwich for lunch.,I ate sandwich for lunch.\n3713,2011/02/06,I had a burger for dinner with Emily,I had a burger for dinner with Emily\n3714,2011/02/06,\"I spent 45 talking to Piper, Nora, Lydia on various topics in the late afternoon.\",\"I spent 45 talking to Piper, Nora, Lydia on various topics in the late afternoon.\"\n3715,2011/02/06,I talked to Avery for 6 minutes during lunch hours.,I talked to Avery for 6 minutes during lunch hours.\n3716,2011/02/06,\"I talked to Nora, Hazel, Piper, Claire for 18 minutes during lunch hours.\",\"I talked to Nora, Hazel, Piper, Claire for 18 minutes during lunch hours.\"\n3717,2011/02/06,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n3718,2011/02/06,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n3719,2011/02/07,I really enjoyed learning a language on 2011/02/07,I really enjoyed learning a language on 2011/02/07\n3720,2011/02/07,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n3721,2011/02/07,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n3722,2011/02/07,\"I had steak for dinner with Eva, Claire, Piper\",\"I had steak for dinner with Eva, Claire, Piper\"\n3723,2011/02/07,\"I spent 40 talking to Piper, Lydia, Eva, Nevaeh on various topics in the early afternoon.\",\"I spent 40 talking to Piper, Lydia, Eva, Nevaeh on various topics in the early afternoon.\"\n3724,2011/02/07,\"I spent 32 talking to Kinsley, Eva on various topics late in the evening.\",\"I spent 32 talking to Kinsley, Eva on various topics late in the evening.\"\n3725,2011/02/07,\"I spent 37 talking to Olivia, Lydia on various topics in the morning.\",\"I spent 37 talking to Olivia, Lydia on various topics in the morning.\"\n3726,2011/02/07,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n3727,2011/02/07,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n3728,2011/02/08,I went on a date with Jane on 2011/02/08 at a boba shop,I went on a date with Jane on 2011/02/08 at a boba shop\n3729,2011/02/08,I did hiking on 2011/02/08.,I did hiking on 2011/02/08.\n3730,2011/02/08,\"I had peanut-butter-jam for breakfast with Carter, Emily\",\"I had peanut-butter-jam for breakfast with Carter, Emily\"\n3731,2011/02/08,I had lunch with Carter. I ate chinese food.,I had lunch with Carter. I ate chinese food.\n3732,2011/02/08,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n3733,2011/02/08,I spent 29 talking to Rylee on various topics in the early afternoon.,I spent 29 talking to Rylee on various topics in the early afternoon.\n3734,2011/02/08,\"I talked to Kinsley, Hazel, Nora for 43 minutes late in the evening.\",\"I talked to Kinsley, Hazel, Nora for 43 minutes late in the evening.\"\n3735,2011/02/08,\"I spent 53 talking to Nora, Nevaeh on various topics in the early afternoon.\",\"I spent 53 talking to Nora, Nevaeh on various topics in the early afternoon.\"\n3736,2011/02/08,I talked to Lydia for 31 minutes in the late afternoon.,I talked to Lydia for 31 minutes in the late afternoon.\n3737,2011/02/08,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n3738,2011/02/08,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n3739,2011/02/09,my parents for their and I went for an annual vision checkup at the university hospital on 2011/02/09.,my parents for their and I went for an annual vision checkup at the university hospital on 2011/02/09.\n3740,2011/02/09,I did biking on 2011/02/09.,I did biking on 2011/02/09.\n3741,2011/02/09,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n3742,2011/02/09,I ate pasta for lunch.,I ate pasta for lunch.\n3743,2011/02/09,I had dinner with Carter. I ate sushi.,I had dinner with Carter. I ate sushi.\n3744,2011/02/09,\"I talked to Eva, Rylee, Kinsley, Nora for 49 minutes during lunch hours.\",\"I talked to Eva, Rylee, Kinsley, Nora for 49 minutes during lunch hours.\"\n3745,2011/02/09,\"I spent 11 talking to Claire, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 11 talking to Claire, Piper, Nevaeh on various topics in the late afternoon.\"\n3746,2011/02/09,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n3747,2011/02/09,I watched a documentary for 45 minutes on TV today.,I watched a documentary for 45 minutes on TV today.\n3748,2011/02/10,\"I bought some clementines, chocolate milk, coffee, soda, toothbrush, toothpaste online.\",\"I bought some clementines, chocolate milk, coffee, soda, toothbrush, toothpaste online.\"\n3749,2011/02/10,I did swimming on 2011/02/10.,I did swimming on 2011/02/10.\n3750,2011/02/10,I had breakfast with Jackson. I ate peanut-butter-jam.,I had breakfast with Jackson. I ate peanut-butter-jam.\n3751,2011/02/10,I prepare a burger for lunch.,I prepare a burger for lunch.\n3752,2011/02/10,\"I had fish and chips for dinner with Andrew, Kayden, Carter\",\"I had fish and chips for dinner with Andrew, Kayden, Carter\"\n3753,2011/02/10,\"I spent 50 talking to Layla, Nora on various topics in the morning.\",\"I spent 50 talking to Layla, Nora on various topics in the morning.\"\n3754,2011/02/10,\"I talked to Nevaeh, Hazel, Eva, Avery for 32 minutes in the early evening.\",\"I talked to Nevaeh, Hazel, Eva, Avery for 32 minutes in the early evening.\"\n3755,2011/02/10,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n3756,2011/02/10,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n3757,2011/02/11,I did weight lifting on 2011/02/11.,I did weight lifting on 2011/02/11.\n3758,2011/02/11,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n3759,2011/02/11,\"I had lunch with Kayden, Carter. I ate sushi.\",\"I had lunch with Kayden, Carter. I ate sushi.\"\n3760,2011/02/11,\"I had dinner with Lydia, Rylee, Nora, Kinsley, Nevaeh, Claire, Piper, Olivia. I ate tacos.\",\"I had dinner with Lydia, Rylee, Nora, Kinsley, Nevaeh, Claire, Piper, Olivia. I ate tacos.\"\n3761,2011/02/11,\"I spent 31 talking to Kinsley, Rylee on various topics during lunch hours.\",\"I spent 31 talking to Kinsley, Rylee on various topics during lunch hours.\"\n3762,2011/02/11,\"I talked to Lydia, Avery for 8 minutes in the morning.\",\"I talked to Lydia, Avery for 8 minutes in the morning.\"\n3763,2011/02/11,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n3764,2011/02/11,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n3765,2011/02/12,I did running on 2011/02/12.,I did running on 2011/02/12.\n3766,2011/02/12,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3767,2011/02/12,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n3768,2011/02/12,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n3769,2011/02/12,\"I spent 23 talking to Rylee, Piper, Nora, Lydia on various topics during lunch hours.\",\"I spent 23 talking to Rylee, Piper, Nora, Lydia on various topics during lunch hours.\"\n3770,2011/02/12,\"I talked to Eva, Claire for 28 minutes in the morning.\",\"I talked to Eva, Claire for 28 minutes in the morning.\"\n3771,2011/02/12,\"I spent 36 talking to Nevaeh, Hazel, Kinsley on various topics late in the evening.\",\"I spent 36 talking to Nevaeh, Hazel, Kinsley on various topics late in the evening.\"\n3772,2011/02/12,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n3773,2011/02/12,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n3774,2011/02/13,I did running on 2011/02/13.,I did running on 2011/02/13.\n3775,2011/02/13,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3776,2011/02/13,I ate pasta for lunch.,I ate pasta for lunch.\n3777,2011/02/13,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n3778,2011/02/13,I talked to Rylee for 36 minutes in the early afternoon.,I talked to Rylee for 36 minutes in the early afternoon.\n3779,2011/02/13,\"I spent 50 talking to Hazel, Piper, Claire on various topics in the morning.\",\"I spent 50 talking to Hazel, Piper, Claire on various topics in the morning.\"\n3780,2011/02/13,\"I spent 26 talking to Rylee, Nevaeh, Lydia, Hazel on various topics during lunch hours.\",\"I spent 26 talking to Rylee, Nevaeh, Lydia, Hazel on various topics during lunch hours.\"\n3781,2011/02/13,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n3782,2011/02/13,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n3783,2011/02/14,\"I bought some pineapples, tea, soda, toothbrush, body lotion, shaving cream, shampoo from the grocery store. I saw Andrew, Emily, Kayden at the grocery store.\",\"I bought some pineapples, tea, soda, toothbrush, body lotion, shaving cream, shampoo from the grocery store. I saw Andrew, Emily, Kayden at the grocery store.\"\n3784,2011/02/14,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n3785,2011/02/14,\"I had steak for lunch with Piper, Nevaeh, Layla, Kinsley, Rylee, Hazel, Piper, Lydia, Avery, Olivia\",\"I had steak for lunch with Piper, Nevaeh, Layla, Kinsley, Rylee, Hazel, Piper, Lydia, Avery, Olivia\"\n3786,2011/02/14,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n3787,2011/02/14,\"I talked to Claire, Piper for 43 minutes in the morning.\",\"I talked to Claire, Piper for 43 minutes in the morning.\"\n3788,2011/02/14,\"I talked to Avery, Eva, Nevaeh for 34 minutes during lunch hours.\",\"I talked to Avery, Eva, Nevaeh for 34 minutes during lunch hours.\"\n3789,2011/02/14,\"I talked to Piper, Rylee, Lydia, Nora for 37 minutes in the late afternoon.\",\"I talked to Piper, Rylee, Lydia, Nora for 37 minutes in the late afternoon.\"\n3790,2011/02/14,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n3791,2011/02/14,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n3792,2011/02/15,\"On 2011/02/15, I took Jaxson on a date to a park\",\"On 2011/02/15, I took Jaxson on a date to a park\"\n3793,2011/02/15,I really enjoyed working out on 2011/02/15,I really enjoyed working out on 2011/02/15\n3794,2011/02/15,I did weight lifting on 2011/02/15.,I did weight lifting on 2011/02/15.\n3795,2011/02/15,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n3796,2011/02/15,I prepare steak for lunch.,I prepare steak for lunch.\n3797,2011/02/15,I had sushi for dinner with Andrew,I had sushi for dinner with Andrew\n3798,2011/02/15,I talked to Lydia for 29 minutes in the late afternoon.,I talked to Lydia for 29 minutes in the late afternoon.\n3799,2011/02/15,\"I spent 40 talking to Lydia, Nora on various topics during lunch hours.\",\"I spent 40 talking to Lydia, Nora on various topics during lunch hours.\"\n3800,2011/02/15,\"I talked to Eva, Rylee, Avery for 43 minutes late in the evening.\",\"I talked to Eva, Rylee, Avery for 43 minutes late in the evening.\"\n3801,2011/02/15,I talked to Nevaeh for 46 minutes in the early afternoon.,I talked to Nevaeh for 46 minutes in the early afternoon.\n3802,2011/02/15,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n3803,2011/02/15,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n3804,2011/02/16,\"I went grocery shopping. I bought some watermelons, mango juice, and conditioner, mouth wash\",\"I went grocery shopping. I bought some watermelons, mango juice, and conditioner, mouth wash\"\n3805,2011/02/16,I did swimming on 2011/02/16.,I did swimming on 2011/02/16.\n3806,2011/02/16,\"I had breakfast with Piper, Lydia, Rylee, Avery. I ate cereals.\",\"I had breakfast with Piper, Lydia, Rylee, Avery. I ate cereals.\"\n3807,2011/02/16,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n3808,2011/02/16,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n3809,2011/02/16,I talked to Olivia for 53 minutes during lunch hours.,I talked to Olivia for 53 minutes during lunch hours.\n3810,2011/02/16,I talked to Kinsley for 44 minutes in the early evening.,I talked to Kinsley for 44 minutes in the early evening.\n3811,2011/02/16,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n3812,2011/02/16,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n3813,2011/02/17,I did running on 2011/02/17.,I did running on 2011/02/17.\n3814,2011/02/17,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3815,2011/02/17,\"I had a burger for lunch with Emily, Andrew, Kayden, Carter\",\"I had a burger for lunch with Emily, Andrew, Kayden, Carter\"\n3816,2011/02/17,I had dinner. I ate steak.,I had dinner. I ate steak.\n3817,2011/02/17,\"I talked to Nevaeh, Hazel, Lydia for 36 minutes in the late afternoon.\",\"I talked to Nevaeh, Hazel, Lydia for 36 minutes in the late afternoon.\"\n3818,2011/02/17,\"I spent 19 talking to Eva, Nevaeh, Kinsley on various topics late in the evening.\",\"I spent 19 talking to Eva, Nevaeh, Kinsley on various topics late in the evening.\"\n3819,2011/02/17,I talked to Nevaeh for 21 minutes late in the evening.,I talked to Nevaeh for 21 minutes late in the evening.\n3820,2011/02/17,I spent 6 minutes on social media today.,I spent 6 minutes on social media today.\n3821,2011/02/17,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n3822,2011/02/18,I did hiking on 2011/02/18.,I did hiking on 2011/02/18.\n3823,2011/02/18,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n3824,2011/02/18,I had lunch with Carter. I ate pasta.,I had lunch with Carter. I ate pasta.\n3825,2011/02/18,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n3826,2011/02/18,\"I talked to Nora, Eva for 45 minutes in the early evening.\",\"I talked to Nora, Eva for 45 minutes in the early evening.\"\n3827,2011/02/18,I spent 15 talking to Hazel on various topics late in the evening.,I spent 15 talking to Hazel on various topics late in the evening.\n3828,2011/02/18,\"I talked to Rylee, Piper for 17 minutes late in the evening.\",\"I talked to Rylee, Piper for 17 minutes late in the evening.\"\n3829,2011/02/18,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n3830,2011/02/18,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n3831,2011/02/19,I did hiking on 2011/02/19.,I did hiking on 2011/02/19.\n3832,2011/02/19,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n3833,2011/02/19,I ate pasta for lunch.,I ate pasta for lunch.\n3834,2011/02/19,\"I had pasta for dinner with Benjamin, Willow\",\"I had pasta for dinner with Benjamin, Willow\"\n3835,2011/02/19,\"I spent 34 talking to Olivia, Nora, Layla on various topics during lunch hours.\",\"I spent 34 talking to Olivia, Nora, Layla on various topics during lunch hours.\"\n3836,2011/02/19,\"I spent 53 talking to Claire, Nevaeh, Layla on various topics late in the evening.\",\"I spent 53 talking to Claire, Nevaeh, Layla on various topics late in the evening.\"\n3837,2011/02/19,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n3838,2011/02/19,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n3839,2011/02/20,\"I bought some pears, apples, raspberries, strawberries, coffee, conditioner, facial wash online.\",\"I bought some pears, apples, raspberries, strawberries, coffee, conditioner, facial wash online.\"\n3840,2011/02/20,I had cereals for breakfast with Avery,I had cereals for breakfast with Avery\n3841,2011/02/20,\"I had sushi for lunch with Layla, Nora\",\"I had sushi for lunch with Layla, Nora\"\n3842,2011/02/20,\"I had tacos for dinner with Carter, Andrew\",\"I had tacos for dinner with Carter, Andrew\"\n3843,2011/02/20,\"I talked to Rylee, Claire, Nora for 31 minutes in the morning.\",\"I talked to Rylee, Claire, Nora for 31 minutes in the morning.\"\n3844,2011/02/20,\"I talked to Olivia, Avery for 45 minutes during lunch hours.\",\"I talked to Olivia, Avery for 45 minutes during lunch hours.\"\n3845,2011/02/20,\"I talked to Nora, Layla, Hazel for 40 minutes during lunch hours.\",\"I talked to Nora, Layla, Hazel for 40 minutes during lunch hours.\"\n3846,2011/02/20,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n3847,2011/02/20,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n3848,2011/02/21,I did swimming on 2011/02/21.,I did swimming on 2011/02/21.\n3849,2011/02/21,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n3850,2011/02/21,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n3851,2011/02/21,I prepare a burger for dinner.,I prepare a burger for dinner.\n3852,2011/02/21,\"I spent 8 talking to Hazel, Nora, Claire, Eva on various topics in the early afternoon.\",\"I spent 8 talking to Hazel, Nora, Claire, Eva on various topics in the early afternoon.\"\n3853,2011/02/21,\"I spent 17 talking to Eva, Olivia, Rylee on various topics in the early evening.\",\"I spent 17 talking to Eva, Olivia, Rylee on various topics in the early evening.\"\n3854,2011/02/21,I talked to Avery for 44 minutes late in the evening.,I talked to Avery for 44 minutes late in the evening.\n3855,2011/02/21,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n3856,2011/02/21,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n3857,2011/02/22,I did swimming on 2011/02/22.,I did swimming on 2011/02/22.\n3858,2011/02/22,\"I had breakfast with Emily, Kayden, Andrew, Carter. I ate cereals.\",\"I had breakfast with Emily, Kayden, Andrew, Carter. I ate cereals.\"\n3859,2011/02/22,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n3860,2011/02/22,I ate sushi for dinner.,I ate sushi for dinner.\n3861,2011/02/22,\"I spent 27 talking to Piper, Eva, Olivia, Lydia on various topics during lunch hours.\",\"I spent 27 talking to Piper, Eva, Olivia, Lydia on various topics during lunch hours.\"\n3862,2011/02/22,\"I spent 19 talking to Piper, Lydia on various topics in the late afternoon.\",\"I spent 19 talking to Piper, Lydia on various topics in the late afternoon.\"\n3863,2011/02/22,\"I talked to Hazel, Piper, Nevaeh, Lydia for 32 minutes late in the evening.\",\"I talked to Hazel, Piper, Nevaeh, Lydia for 32 minutes late in the evening.\"\n3864,2011/02/22,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n3865,2011/02/22,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n3866,2011/02/23,I did running on 2011/02/23.,I did running on 2011/02/23.\n3867,2011/02/23,\"I had eggs, sausages, and bread for breakfast with Carter, Emily\",\"I had eggs, sausages, and bread for breakfast with Carter, Emily\"\n3868,2011/02/23,\"I had lunch with Kayden, Andrew, Carter, Emily. I ate a burger.\",\"I had lunch with Kayden, Andrew, Carter, Emily. I ate a burger.\"\n3869,2011/02/23,I had dinner with Kayden. I ate sandwich.,I had dinner with Kayden. I ate sandwich.\n3870,2011/02/23,\"I spent 34 talking to Olivia, Nora, Avery, Layla on various topics in the early afternoon.\",\"I spent 34 talking to Olivia, Nora, Avery, Layla on various topics in the early afternoon.\"\n3871,2011/02/23,I spent 10 talking to Kinsley on various topics in the early afternoon.,I spent 10 talking to Kinsley on various topics in the early afternoon.\n3872,2011/02/23,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n3873,2011/02/23,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n3874,2011/02/24,\"I visited Bangkok, Thailand for 10 days with Andrew starting on 2011/02/24\",\"I visited Bangkok, Thailand for 10 days with Andrew starting on 2011/02/24\"\n3875,2011/02/24,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n3876,2011/02/24,\"I had indian food for lunch with Piper, Lydia, Eva, Olivia\",\"I had indian food for lunch with Piper, Lydia, Eva, Olivia\"\n3877,2011/02/24,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n3878,2011/02/24,\"I spent 26 talking to Hazel, Eva, Rylee, Olivia on various topics late in the evening.\",\"I spent 26 talking to Hazel, Eva, Rylee, Olivia on various topics late in the evening.\"\n3879,2011/02/24,\"I spent 41 talking to Layla, Nevaeh, Olivia on various topics in the morning.\",\"I spent 41 talking to Layla, Nevaeh, Olivia on various topics in the morning.\"\n3880,2011/02/24,\"I spent 38 talking to Kinsley, Hazel on various topics in the late afternoon.\",\"I spent 38 talking to Kinsley, Hazel on various topics in the late afternoon.\"\n3881,2011/02/24,\"I talked to Avery, Eva for 21 minutes in the late afternoon.\",\"I talked to Avery, Eva for 21 minutes in the late afternoon.\"\n3882,2011/02/24,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n3883,2011/02/24,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n3884,2011/02/25,\"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2011/02 with Andrew.\",\"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2011/02 with Andrew.\"\n3885,2011/02/25,\"I ate Chinese food at Ratchawat Market with Andrew on  2011/02/25 when I was in Bangkok, Thailand.\",\"I ate Chinese food at Ratchawat Market with Andrew on  2011/02/25 when I was in Bangkok, Thailand.\"\n3886,2011/02/25,\"On 2011/02/25, I took Cooper on a date to a restaurant\",\"On 2011/02/25, I took Cooper on a date to a restaurant\"\n3887,2011/02/25,\"I bought some pineapples, clementines, guava juice, mouthwash, conditioner, toothpaste online.\",\"I bought some pineapples, clementines, guava juice, mouthwash, conditioner, toothpaste online.\"\n3888,2011/02/25,\"I had breakfast with Olivia, Piper, Kinsley, Nevaeh, Piper, Lydia, Nora, Rylee, Hazel, Claire, Eva, Avery, Layla. I ate peanut-butter-jam.\",\"I had breakfast with Olivia, Piper, Kinsley, Nevaeh, Piper, Lydia, Nora, Rylee, Hazel, Claire, Eva, Avery, Layla. I ate peanut-butter-jam.\"\n3889,2011/02/25,I ate sandwich for lunch.,I ate sandwich for lunch.\n3890,2011/02/25,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n3891,2011/02/25,\"I talked to Eva, Kinsley, Claire for 26 minutes in the early evening.\",\"I talked to Eva, Kinsley, Claire for 26 minutes in the early evening.\"\n3892,2011/02/25,\"I spent 11 talking to Piper, Layla, Hazel on various topics in the early afternoon.\",\"I spent 11 talking to Piper, Layla, Hazel on various topics in the early afternoon.\"\n3893,2011/02/25,\"I talked to Rylee, Hazel, Layla for 42 minutes late in the evening.\",\"I talked to Rylee, Hazel, Layla for 42 minutes late in the evening.\"\n3894,2011/02/25,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n3895,2011/02/25,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n3896,2011/02/26,\"During my trip to Bangkok, Thailand, I visited Grand Palace on 2011/02 with Andrew.\",\"During my trip to Bangkok, Thailand, I visited Grand Palace on 2011/02 with Andrew.\"\n3897,2011/02/26,\"I ate Italian food at Yaowarat with Andrew on  2011/02/26 when I was in Bangkok, Thailand.\",\"I ate Italian food at Yaowarat with Andrew on  2011/02/26 when I was in Bangkok, Thailand.\"\n3898,2011/02/26,\"I went grocery shopping with Carter, Kayden, Andrew. I bought some apples, pineapples, raspberries, apricots, mineral water, coffee, guava juice, and mouth wash, body lotion, paper towel, shaving cream\",\"I went grocery shopping with Carter, Kayden, Andrew. I bought some apples, pineapples, raspberries, apricots, mineral water, coffee, guava juice, and mouth wash, body lotion, paper towel, shaving cream\"\n3899,2011/02/26,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n3900,2011/02/26,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n3901,2011/02/26,I prepare sushi for dinner.,I prepare sushi for dinner.\n3902,2011/02/26,\"I spent 34 talking to Hazel, Layla on various topics in the early afternoon.\",\"I spent 34 talking to Hazel, Layla on various topics in the early afternoon.\"\n3903,2011/02/26,\"I talked to Piper, Layla for 6 minutes in the morning.\",\"I talked to Piper, Layla for 6 minutes in the morning.\"\n3904,2011/02/26,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n3905,2011/02/26,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n3906,2011/02/27,\"During my trip to Bangkok, Thailand, I visited Wat Traimit on 2011/02 with Andrew.\",\"During my trip to Bangkok, Thailand, I visited Wat Traimit on 2011/02 with Andrew.\"\n3907,2011/02/27,\"I ate Japanese food at Yaowarat with Andrew on  2011/02/27 when I was in Bangkok, Thailand.\",\"I ate Japanese food at Yaowarat with Andrew on  2011/02/27 when I was in Bangkok, Thailand.\"\n3908,2011/02/27,\"I had cereals for breakfast with Carter, Emily, Andrew, Kayden\",\"I had cereals for breakfast with Carter, Emily, Andrew, Kayden\"\n3909,2011/02/27,I ate a burger for lunch.,I ate a burger for lunch.\n3910,2011/02/27,\"I had dinner with Emily, Kayden, Andrew. I ate a burger.\",\"I had dinner with Emily, Kayden, Andrew. I ate a burger.\"\n3911,2011/02/27,\"I spent 5 talking to Layla, Nora, Piper, Claire on various topics during lunch hours.\",\"I spent 5 talking to Layla, Nora, Piper, Claire on various topics during lunch hours.\"\n3912,2011/02/27,\"I spent 19 talking to Piper, Avery, Hazel, Claire on various topics in the early afternoon.\",\"I spent 19 talking to Piper, Avery, Hazel, Claire on various topics in the early afternoon.\"\n3913,2011/02/27,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n3914,2011/02/27,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n3915,2011/02/28,\"During my trip to Bangkok, Thailand, I visited Wat Arun on 2011/02 with Andrew.\",\"During my trip to Bangkok, Thailand, I visited Wat Arun on 2011/02 with Andrew.\"\n3916,2011/02/28,\"I ate Indian food at Ratchawat Market with Andrew on  2011/02/28 when I was in Bangkok, Thailand.\",\"I ate Indian food at Ratchawat Market with Andrew on  2011/02/28 when I was in Bangkok, Thailand.\"\n3917,2011/02/28,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n3918,2011/02/28,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n3919,2011/02/28,I prepare tacos for dinner.,I prepare tacos for dinner.\n3920,2011/02/28,\"I spent 22 talking to Hazel, Avery, Layla, Rylee on various topics in the early afternoon.\",\"I spent 22 talking to Hazel, Avery, Layla, Rylee on various topics in the early afternoon.\"\n3921,2011/02/28,\"I spent 6 talking to Hazel, Avery on various topics in the late afternoon.\",\"I spent 6 talking to Hazel, Avery on various topics in the late afternoon.\"\n3922,2011/02/28,\"I spent 22 talking to Rylee, Eva on various topics in the morning.\",\"I spent 22 talking to Rylee, Eva on various topics in the morning.\"\n3923,2011/02/28,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n3924,2011/02/28,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n3925,2011/03/01,\"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2011/03 with Andrew.\",\"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2011/03 with Andrew.\"\n3926,2011/03/01,\"I ate Japanese food at Yaowarat with Andrew on  2011/03/01 when I was in Bangkok, Thailand.\",\"I ate Japanese food at Yaowarat with Andrew on  2011/03/01 when I was in Bangkok, Thailand.\"\n3927,2011/03/01,\"I bought some oranges, blackberries, bananas, strawberries, orange juice, pineapple juice, mouthwash, conditioner, mouth wash from the grocery store. I saw Kayden, Emily, Andrew, Carter at the grocery store.\",\"I bought some oranges, blackberries, bananas, strawberries, orange juice, pineapple juice, mouthwash, conditioner, mouth wash from the grocery store. I saw Kayden, Emily, Andrew, Carter at the grocery store.\"\n3928,2011/03/01,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3929,2011/03/01,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n3930,2011/03/01,I had dinner with Emily. I ate pasta.,I had dinner with Emily. I ate pasta.\n3931,2011/03/01,\"I talked to Lydia, Nevaeh, Eva for 24 minutes in the late afternoon.\",\"I talked to Lydia, Nevaeh, Eva for 24 minutes in the late afternoon.\"\n3932,2011/03/01,I spent 52 talking to Nora on various topics in the morning.,I spent 52 talking to Nora on various topics in the morning.\n3933,2011/03/01,\"I spent 15 talking to Eva, Piper, Claire on various topics late in the evening.\",\"I spent 15 talking to Eva, Piper, Claire on various topics late in the evening.\"\n3934,2011/03/01,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n3935,2011/03/01,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n3936,2011/03/02,\"I ate Chinese food at Victory Monument with Andrew on  2011/03/02 when I was in Bangkok, Thailand.\",\"I ate Chinese food at Victory Monument with Andrew on  2011/03/02 when I was in Bangkok, Thailand.\"\n3937,2011/03/02,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n3938,2011/03/02,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n3939,2011/03/02,I prepare sushi for dinner.,I prepare sushi for dinner.\n3940,2011/03/02,\"I talked to Piper, Claire for 23 minutes late in the evening.\",\"I talked to Piper, Claire for 23 minutes late in the evening.\"\n3941,2011/03/02,\"I talked to Avery, Claire for 14 minutes in the morning.\",\"I talked to Avery, Claire for 14 minutes in the morning.\"\n3942,2011/03/02,\"I spent 34 talking to Piper, Nevaeh, Claire on various topics in the early evening.\",\"I spent 34 talking to Piper, Nevaeh, Claire on various topics in the early evening.\"\n3943,2011/03/02,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n3944,2011/03/02,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n3945,2011/03/03,\"I ate Chinese food at Ratchawat Market with Andrew on  2011/03/03 when I was in Bangkok, Thailand.\",\"I ate Chinese food at Ratchawat Market with Andrew on  2011/03/03 when I was in Bangkok, Thailand.\"\n3946,2011/03/03,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3947,2011/03/03,I ate tacos for lunch.,I ate tacos for lunch.\n3948,2011/03/03,\"I had dinner with Benjamin, Jackson, Willow, Avery. I ate steak.\",\"I had dinner with Benjamin, Jackson, Willow, Avery. I ate steak.\"\n3949,2011/03/03,\"I talked to Kinsley, Nora for 31 minutes late in the evening.\",\"I talked to Kinsley, Nora for 31 minutes late in the evening.\"\n3950,2011/03/03,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n3951,2011/03/03,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n3952,2011/03/04,\"I ate Italian food at Ratchawat Market with Andrew on  2011/03/04 when I was in Bangkok, Thailand.\",\"I ate Italian food at Ratchawat Market with Andrew on  2011/03/04 when I was in Bangkok, Thailand.\"\n3953,2011/03/04,\"I had cereals for breakfast with Andrew, Carter, Emily, Kayden\",\"I had cereals for breakfast with Andrew, Carter, Emily, Kayden\"\n3954,2011/03/04,I ate chinese food for lunch.,I ate chinese food for lunch.\n3955,2011/03/04,I prepare a burger for dinner.,I prepare a burger for dinner.\n3956,2011/03/04,\"I spent 44 talking to Nevaeh, Olivia, Layla on various topics during lunch hours.\",\"I spent 44 talking to Nevaeh, Olivia, Layla on various topics during lunch hours.\"\n3957,2011/03/04,\"I talked to Hazel, Nora, Eva for 31 minutes in the late afternoon.\",\"I talked to Hazel, Nora, Eva for 31 minutes in the late afternoon.\"\n3958,2011/03/04,\"I talked to Eva, Olivia, Avery, Claire for 40 minutes in the morning.\",\"I talked to Eva, Olivia, Avery, Claire for 40 minutes in the morning.\"\n3959,2011/03/04,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n3960,2011/03/04,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n3961,2011/03/05,\"I ate street food at Ratchawat Market with Andrew on  2011/03/05 when I was in Bangkok, Thailand.\",\"I ate street food at Ratchawat Market with Andrew on  2011/03/05 when I was in Bangkok, Thailand.\"\n3962,2011/03/05,\"I bought some strawberries, cherres, apples, soda, body lotion, paper towel from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\",\"I bought some strawberries, cherres, apples, soda, body lotion, paper towel from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\"\n3963,2011/03/05,\"I had breakfast with Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter. I ate eggs, sausages, and bread.\"\n3964,2011/03/05,\"I had sushi for lunch with Willow, Benjamin, Avery, Jackson\",\"I had sushi for lunch with Willow, Benjamin, Avery, Jackson\"\n3965,2011/03/05,I prepare indian food for dinner.,I prepare indian food for dinner.\n3966,2011/03/05,\"I talked to Kinsley, Avery, Piper for 53 minutes in the late afternoon.\",\"I talked to Kinsley, Avery, Piper for 53 minutes in the late afternoon.\"\n3967,2011/03/05,\"I talked to Olivia, Piper, Layla, Nora for 36 minutes in the early evening.\",\"I talked to Olivia, Piper, Layla, Nora for 36 minutes in the early evening.\"\n3968,2011/03/05,\"I spent 15 talking to Claire, Avery on various topics in the early afternoon.\",\"I spent 15 talking to Claire, Avery on various topics in the early afternoon.\"\n3969,2011/03/05,\"I spent 44 talking to Claire, Rylee, Lydia on various topics in the late afternoon.\",\"I spent 44 talking to Claire, Rylee, Lydia on various topics in the late afternoon.\"\n3970,2011/03/05,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n3971,2011/03/05,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n3972,2011/03/06,\"I ate street food at Victory Monument with Andrew on  2011/03/06 when I was in Bangkok, Thailand.\",\"I ate street food at Victory Monument with Andrew on  2011/03/06 when I was in Bangkok, Thailand.\"\n3973,2011/03/06,\"I had oatmeal for breakfast with Eva, Claire, Hazel, Piper, Lydia, Olivia, Piper\",\"I had oatmeal for breakfast with Eva, Claire, Hazel, Piper, Lydia, Olivia, Piper\"\n3974,2011/03/06,I had lunch. I ate steak.,I had lunch. I ate steak.\n3975,2011/03/06,I had sushi for dinner with Avery,I had sushi for dinner with Avery\n3976,2011/03/06,\"I talked to Kinsley, Lydia, Nora, Piper for 11 minutes in the morning.\",\"I talked to Kinsley, Lydia, Nora, Piper for 11 minutes in the morning.\"\n3977,2011/03/06,\"I spent 35 talking to Rylee, Avery, Kinsley, Nevaeh on various topics in the late afternoon.\",\"I spent 35 talking to Rylee, Avery, Kinsley, Nevaeh on various topics in the late afternoon.\"\n3978,2011/03/06,I spent 50 talking to Hazel on various topics during lunch hours.,I spent 50 talking to Hazel on various topics during lunch hours.\n3979,2011/03/06,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n3980,2011/03/06,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n3981,2011/03/07,I did weight lifting on 2011/03/07.,I did weight lifting on 2011/03/07.\n3982,2011/03/07,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n3983,2011/03/07,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n3984,2011/03/07,I prepare tacos for dinner.,I prepare tacos for dinner.\n3985,2011/03/07,\"I talked to Piper, Nora, Claire, Avery for 27 minutes in the late afternoon.\",\"I talked to Piper, Nora, Claire, Avery for 27 minutes in the late afternoon.\"\n3986,2011/03/07,\"I talked to Piper, Avery, Nora, Eva for 36 minutes in the early evening.\",\"I talked to Piper, Avery, Nora, Eva for 36 minutes in the early evening.\"\n3987,2011/03/07,\"I talked to Nevaeh, Lydia, Eva, Claire for 31 minutes in the late afternoon.\",\"I talked to Nevaeh, Lydia, Eva, Claire for 31 minutes in the late afternoon.\"\n3988,2011/03/07,\"I spent 18 talking to Claire, Nevaeh on various topics late in the evening.\",\"I spent 18 talking to Claire, Nevaeh on various topics late in the evening.\"\n3989,2011/03/07,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n3990,2011/03/07,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n3991,2011/03/08,\"I spent time working out on 2011/03/08 with Avery, Willow.\",\"I spent time working out on 2011/03/08 with Avery, Willow.\"\n3992,2011/03/08,\"I bought some strawberries, nectarines, clementines, raspberries, pineapple juice, toothpaste, paper towel, toothbrush, mouth wash from the grocery store. I saw Emily, Carter, Kayden, Andrew at the grocery store.\",\"I bought some strawberries, nectarines, clementines, raspberries, pineapple juice, toothpaste, paper towel, toothbrush, mouth wash from the grocery store. I saw Emily, Carter, Kayden, Andrew at the grocery store.\"\n3993,2011/03/08,I did HIIT on 2011/03/08.,I did HIIT on 2011/03/08.\n3994,2011/03/08,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n3995,2011/03/08,\"I had lunch with Kayden, Andrew. I ate indian food.\",\"I had lunch with Kayden, Andrew. I ate indian food.\"\n3996,2011/03/08,\"I had sandwich for dinner with Willow, Benjamin\",\"I had sandwich for dinner with Willow, Benjamin\"\n3997,2011/03/08,I talked to Nevaeh for 52 minutes during lunch hours.,I talked to Nevaeh for 52 minutes during lunch hours.\n3998,2011/03/08,\"I talked to Piper, Nora for 13 minutes in the early evening.\",\"I talked to Piper, Nora for 13 minutes in the early evening.\"\n3999,2011/03/08,\"I talked to Piper, Eva for 33 minutes during lunch hours.\",\"I talked to Piper, Eva for 33 minutes during lunch hours.\"\n4000,2011/03/08,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n4001,2011/03/08,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n4002,2011/03/09,\"On 2011/03/09, I took Owen on a date to a restaurant\",\"On 2011/03/09, I took Owen on a date to a restaurant\"\n4003,2011/03/09,I did hiking on 2011/03/09.,I did hiking on 2011/03/09.\n4004,2011/03/09,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n4005,2011/03/09,\"I had a burger for lunch with Kayden, Andrew, Carter, Emily\",\"I had a burger for lunch with Kayden, Andrew, Carter, Emily\"\n4006,2011/03/09,I had dinner with Andrew. I ate steak.,I had dinner with Andrew. I ate steak.\n4007,2011/03/09,\"I spent 45 talking to Lydia, Piper on various topics late in the evening.\",\"I spent 45 talking to Lydia, Piper on various topics late in the evening.\"\n4008,2011/03/09,\"I talked to Avery, Hazel, Nevaeh, Kinsley for 30 minutes late in the evening.\",\"I talked to Avery, Hazel, Nevaeh, Kinsley for 30 minutes late in the evening.\"\n4009,2011/03/09,\"I talked to Hazel, Nevaeh, Nora for 8 minutes late in the evening.\",\"I talked to Hazel, Nevaeh, Nora for 8 minutes late in the evening.\"\n4010,2011/03/09,\"I spent 50 talking to Lydia, Hazel, Eva on various topics late in the evening.\",\"I spent 50 talking to Lydia, Hazel, Eva on various topics late in the evening.\"\n4011,2011/03/09,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n4012,2011/03/09,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n4013,2011/03/10,I did running on 2011/03/10.,I did running on 2011/03/10.\n4014,2011/03/10,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n4015,2011/03/10,I had fish and chips for lunch with Kayden,I had fish and chips for lunch with Kayden\n4016,2011/03/10,I prepare a burger for dinner.,I prepare a burger for dinner.\n4017,2011/03/10,I spent 13 talking to Claire on various topics late in the evening.,I spent 13 talking to Claire on various topics late in the evening.\n4018,2011/03/10,I spent 29 talking to Claire on various topics in the morning.,I spent 29 talking to Claire on various topics in the morning.\n4019,2011/03/10,\"I talked to Piper, Lydia, Layla for 52 minutes in the early evening.\",\"I talked to Piper, Lydia, Layla for 52 minutes in the early evening.\"\n4020,2011/03/10,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n4021,2011/03/10,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n4022,2011/03/11,I did biking on 2011/03/11.,I did biking on 2011/03/11.\n4023,2011/03/11,\"I had oatmeal for breakfast with Hazel, Claire, Kinsley, Nora, Piper, Layla\",\"I had oatmeal for breakfast with Hazel, Claire, Kinsley, Nora, Piper, Layla\"\n4024,2011/03/11,I had lunch. I ate steak.,I had lunch. I ate steak.\n4025,2011/03/11,I had dinner with Emily. I ate indian food.,I had dinner with Emily. I ate indian food.\n4026,2011/03/11,\"I spent 43 talking to Eva, Lydia on various topics in the early afternoon.\",\"I spent 43 talking to Eva, Lydia on various topics in the early afternoon.\"\n4027,2011/03/11,\"I talked to Hazel, Lydia, Claire, Nevaeh for 26 minutes in the early afternoon.\",\"I talked to Hazel, Lydia, Claire, Nevaeh for 26 minutes in the early afternoon.\"\n4028,2011/03/11,I talked to Avery for 43 minutes in the late afternoon.,I talked to Avery for 43 minutes in the late afternoon.\n4029,2011/03/11,\"I talked to Nora, Kinsley, Layla, Piper for 13 minutes late in the evening.\",\"I talked to Nora, Kinsley, Layla, Piper for 13 minutes late in the evening.\"\n4030,2011/03/11,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n4031,2011/03/11,I watched a documentary for 55 minutes on TV today.,I watched a documentary for 55 minutes on TV today.\n4032,2011/03/12,\"On 2011/03/12, I took Greyson on a date to a coffee Shop\",\"On 2011/03/12, I took Greyson on a date to a coffee Shop\"\n4033,2011/03/12,I did biking on 2011/03/12.,I did biking on 2011/03/12.\n4034,2011/03/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n4035,2011/03/12,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n4036,2011/03/12,I prepare a burger for dinner.,I prepare a burger for dinner.\n4037,2011/03/12,\"I talked to Olivia, Claire, Kinsley for 13 minutes late in the evening.\",\"I talked to Olivia, Claire, Kinsley for 13 minutes late in the evening.\"\n4038,2011/03/12,\"I talked to Eva, Nora for 41 minutes in the early evening.\",\"I talked to Eva, Nora for 41 minutes in the early evening.\"\n4039,2011/03/12,I spent 14 talking to Hazel on various topics in the early afternoon.,I spent 14 talking to Hazel on various topics in the early afternoon.\n4040,2011/03/12,\"I spent 41 talking to Piper, Lydia, Hazel on various topics in the late afternoon.\",\"I spent 41 talking to Piper, Lydia, Hazel on various topics in the late afternoon.\"\n4041,2011/03/12,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n4042,2011/03/12,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n4043,2011/03/13,I did running on 2011/03/13.,I did running on 2011/03/13.\n4044,2011/03/13,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n4045,2011/03/13,\"I had lunch with Andrew, Kayden, Emily. I ate chinese food.\",\"I had lunch with Andrew, Kayden, Emily. I ate chinese food.\"\n4046,2011/03/13,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n4047,2011/03/13,I spent 13 talking to Avery on various topics in the morning.,I spent 13 talking to Avery on various topics in the morning.\n4048,2011/03/13,\"I spent 46 talking to Rylee, Piper, Lydia on various topics late in the evening.\",\"I spent 46 talking to Rylee, Piper, Lydia on various topics late in the evening.\"\n4049,2011/03/13,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n4050,2011/03/13,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n4051,2011/03/14,\"I went grocery shopping with Willow, Jackson, Avery, Benjamin. I bought some pineapples, nectarines, peaches, mangos, coffee, milk, and mouth wash, mouthwash\",\"I went grocery shopping with Willow, Jackson, Avery, Benjamin. I bought some pineapples, nectarines, peaches, mangos, coffee, milk, and mouth wash, mouthwash\"\n4052,2011/03/14,I did running on 2011/03/14.,I did running on 2011/03/14.\n4053,2011/03/14,\"I had breakfast with Avery, Layla, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Layla, Piper. I ate eggs, sausages, and bread.\"\n4054,2011/03/14,\"I had lunch with Layla, Nora, Lydia, Kinsley, Claire, Piper, Piper, Nevaeh, Rylee, Olivia, Hazel, Avery. I ate fish and chips.\",\"I had lunch with Layla, Nora, Lydia, Kinsley, Claire, Piper, Piper, Nevaeh, Rylee, Olivia, Hazel, Avery. I ate fish and chips.\"\n4055,2011/03/14,\"I had steak for dinner with Hazel, Avery, Kinsley, Olivia, Piper, Claire, Nora, Eva, Layla\",\"I had steak for dinner with Hazel, Avery, Kinsley, Olivia, Piper, Claire, Nora, Eva, Layla\"\n4056,2011/03/14,\"I talked to Olivia, Hazel, Lydia for 34 minutes in the early evening.\",\"I talked to Olivia, Hazel, Lydia for 34 minutes in the early evening.\"\n4057,2011/03/14,\"I spent 7 talking to Olivia, Nora, Piper on various topics in the early evening.\",\"I spent 7 talking to Olivia, Nora, Piper on various topics in the early evening.\"\n4058,2011/03/14,\"I talked to Hazel, Nevaeh for 26 minutes late in the evening.\",\"I talked to Hazel, Nevaeh for 26 minutes late in the evening.\"\n4059,2011/03/14,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n4060,2011/03/14,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n4061,2011/03/15,I really enjoyed gardening on 2011/03/15,I really enjoyed gardening on 2011/03/15\n4062,2011/03/15,\"I bought some cherres, apples, apricots, nectarines, mango juice, mineral water, soda, milk, facial wash, conditioner online.\",\"I bought some cherres, apples, apricots, nectarines, mango juice, mineral water, soda, milk, facial wash, conditioner online.\"\n4063,2011/03/15,I did swimming on 2011/03/15.,I did swimming on 2011/03/15.\n4064,2011/03/15,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n4065,2011/03/15,\"I had lunch with Jackson, Benjamin, Avery, Willow. I ate sushi.\",\"I had lunch with Jackson, Benjamin, Avery, Willow. I ate sushi.\"\n4066,2011/03/15,I had chinese food for dinner with Benjamin,I had chinese food for dinner with Benjamin\n4067,2011/03/15,\"I spent 33 talking to Layla, Hazel, Lydia on various topics during lunch hours.\",\"I spent 33 talking to Layla, Hazel, Lydia on various topics during lunch hours.\"\n4068,2011/03/15,\"I talked to Olivia, Avery, Piper, Layla for 15 minutes in the early afternoon.\",\"I talked to Olivia, Avery, Piper, Layla for 15 minutes in the early afternoon.\"\n4069,2011/03/15,\"I talked to Hazel, Claire, Avery for 45 minutes late in the evening.\",\"I talked to Hazel, Claire, Avery for 45 minutes late in the evening.\"\n4070,2011/03/15,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n4071,2011/03/15,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n4072,2011/03/16,I did biking on 2011/03/16.,I did biking on 2011/03/16.\n4073,2011/03/16,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n4074,2011/03/16,\"I had lunch with Olivia, Piper, Claire. I ate pasta.\",\"I had lunch with Olivia, Piper, Claire. I ate pasta.\"\n4075,2011/03/16,\"I had dinner with Eva, Hazel, Avery, Rylee, Olivia. I ate a burger.\",\"I had dinner with Eva, Hazel, Avery, Rylee, Olivia. I ate a burger.\"\n4076,2011/03/16,\"I talked to Kinsley, Lydia, Eva, Nora for 42 minutes in the early evening.\",\"I talked to Kinsley, Lydia, Eva, Nora for 42 minutes in the early evening.\"\n4077,2011/03/16,\"I spent 52 talking to Lydia, Avery, Claire, Kinsley on various topics late in the evening.\",\"I spent 52 talking to Lydia, Avery, Claire, Kinsley on various topics late in the evening.\"\n4078,2011/03/16,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n4079,2011/03/16,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n4080,2011/03/17,I did swimming on 2011/03/17.,I did swimming on 2011/03/17.\n4081,2011/03/17,\"I had cereals for breakfast with Nevaeh, Layla, Olivia, Kinsley, Hazel, Piper, Rylee\",\"I had cereals for breakfast with Nevaeh, Layla, Olivia, Kinsley, Hazel, Piper, Rylee\"\n4082,2011/03/17,I had fish and chips for lunch with Avery,I had fish and chips for lunch with Avery\n4083,2011/03/17,\"I had steak for dinner with Claire, Nora, Piper, Layla\",\"I had steak for dinner with Claire, Nora, Piper, Layla\"\n4084,2011/03/17,\"I spent 15 talking to Rylee, Avery, Piper, Kinsley on various topics in the late afternoon.\",\"I spent 15 talking to Rylee, Avery, Piper, Kinsley on various topics in the late afternoon.\"\n4085,2011/03/17,\"I talked to Hazel, Rylee, Olivia for 18 minutes in the early afternoon.\",\"I talked to Hazel, Rylee, Olivia for 18 minutes in the early afternoon.\"\n4086,2011/03/17,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n4087,2011/03/17,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n4088,2011/03/18,I went on a date with Aurora on 2011/03/18 at a restaurant,I went on a date with Aurora on 2011/03/18 at a restaurant\n4089,2011/03/18,I did HIIT on 2011/03/18.,I did HIIT on 2011/03/18.\n4090,2011/03/18,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n4091,2011/03/18,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n4092,2011/03/18,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n4093,2011/03/18,\"I talked to Kinsley, Nevaeh for 35 minutes during lunch hours.\",\"I talked to Kinsley, Nevaeh for 35 minutes during lunch hours.\"\n4094,2011/03/18,I spent 13 talking to Avery on various topics late in the evening.,I spent 13 talking to Avery on various topics late in the evening.\n4095,2011/03/18,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n4096,2011/03/18,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n4097,2011/03/19,I did weight lifting on 2011/03/19.,I did weight lifting on 2011/03/19.\n4098,2011/03/19,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n4099,2011/03/19,\"I had lunch with Piper, Eva, Layla, Nora, Olivia, Avery, Rylee, Hazel, Nevaeh, Lydia. I ate steak.\",\"I had lunch with Piper, Eva, Layla, Nora, Olivia, Avery, Rylee, Hazel, Nevaeh, Lydia. I ate steak.\"\n4100,2011/03/19,\"I had a burger for dinner with Willow, Benjamin, Avery, Jackson\",\"I had a burger for dinner with Willow, Benjamin, Avery, Jackson\"\n4101,2011/03/19,I talked to Piper for 28 minutes during lunch hours.,I talked to Piper for 28 minutes during lunch hours.\n4102,2011/03/19,\"I talked to Olivia, Kinsley, Claire for 53 minutes during lunch hours.\",\"I talked to Olivia, Kinsley, Claire for 53 minutes during lunch hours.\"\n4103,2011/03/19,\"I talked to Kinsley, Hazel for 42 minutes during lunch hours.\",\"I talked to Kinsley, Hazel for 42 minutes during lunch hours.\"\n4104,2011/03/19,\"I talked to Kinsley, Nevaeh, Piper, Rylee for 49 minutes during lunch hours.\",\"I talked to Kinsley, Nevaeh, Piper, Rylee for 49 minutes during lunch hours.\"\n4105,2011/03/19,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n4106,2011/03/19,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n4107,2011/03/20,\"I spent time meditation on 2011/03/20 with Kinsley, Piper.\",\"I spent time meditation on 2011/03/20 with Kinsley, Piper.\"\n4108,2011/03/20,I did biking on 2011/03/20.,I did biking on 2011/03/20.\n4109,2011/03/20,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n4110,2011/03/20,I had lunch. I ate steak.,I had lunch. I ate steak.\n4111,2011/03/20,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n4112,2011/03/20,\"I talked to Nora, Claire, Piper, Nevaeh for 32 minutes in the morning.\",\"I talked to Nora, Claire, Piper, Nevaeh for 32 minutes in the morning.\"\n4113,2011/03/20,\"I spent 53 talking to Eva, Kinsley, Lydia on various topics in the late afternoon.\",\"I spent 53 talking to Eva, Kinsley, Lydia on various topics in the late afternoon.\"\n4114,2011/03/20,\"I spent 54 talking to Eva, Claire on various topics in the early afternoon.\",\"I spent 54 talking to Eva, Claire on various topics in the early afternoon.\"\n4115,2011/03/20,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n4116,2011/03/20,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n4117,2011/03/21,\"I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some strawberries, watermelons, clementines, blueberries, coffee, milk, guava juice, and facial wash\",\"I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some strawberries, watermelons, clementines, blueberries, coffee, milk, guava juice, and facial wash\"\n4118,2011/03/21,I did swimming on 2011/03/21.,I did swimming on 2011/03/21.\n4119,2011/03/21,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n4120,2011/03/21,\"I had tacos for lunch with Lydia, Hazel, Eva, Nevaeh, Olivia, Layla, Piper, Kinsley, Piper, Rylee, Avery, Claire\",\"I had tacos for lunch with Lydia, Hazel, Eva, Nevaeh, Olivia, Layla, Piper, Kinsley, Piper, Rylee, Avery, Claire\"\n4121,2011/03/21,\"I had dinner with Avery, Rylee, Kinsley, Claire, Piper, Lydia, Eva, Nevaeh, Piper, Olivia, Layla, Nora, Hazel. I ate a burger.\",\"I had dinner with Avery, Rylee, Kinsley, Claire, Piper, Lydia, Eva, Nevaeh, Piper, Olivia, Layla, Nora, Hazel. I ate a burger.\"\n4122,2011/03/21,\"I spent 43 talking to Nevaeh, Claire, Lydia, Avery on various topics in the early afternoon.\",\"I spent 43 talking to Nevaeh, Claire, Lydia, Avery on various topics in the early afternoon.\"\n4123,2011/03/21,\"I talked to Avery, Kinsley, Olivia for 25 minutes in the early evening.\",\"I talked to Avery, Kinsley, Olivia for 25 minutes in the early evening.\"\n4124,2011/03/21,\"I spent 32 talking to Lydia, Eva on various topics late in the evening.\",\"I spent 32 talking to Lydia, Eva on various topics late in the evening.\"\n4125,2011/03/21,\"I spent 33 talking to Claire, Eva, Lydia on various topics during lunch hours.\",\"I spent 33 talking to Claire, Eva, Lydia on various topics during lunch hours.\"\n4126,2011/03/21,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n4127,2011/03/21,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n4128,2011/03/22,I did weight lifting on 2011/03/22.,I did weight lifting on 2011/03/22.\n4129,2011/03/22,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n4130,2011/03/22,I ate a burger for lunch.,I ate a burger for lunch.\n4131,2011/03/22,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n4132,2011/03/22,\"I spent 34 talking to Olivia, Hazel, Nevaeh, Avery on various topics in the late afternoon.\",\"I spent 34 talking to Olivia, Hazel, Nevaeh, Avery on various topics in the late afternoon.\"\n4133,2011/03/22,\"I talked to Piper, Nevaeh, Avery, Lydia for 19 minutes in the morning.\",\"I talked to Piper, Nevaeh, Avery, Lydia for 19 minutes in the morning.\"\n4134,2011/03/22,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n4135,2011/03/22,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n4136,2011/03/23,\"I bought some blueberries, mangos, pears, coffee, orange juice, body lotion, facial wash, mouthwash, shaving cream from the grocery store. I saw Kayden at the grocery store.\",\"I bought some blueberries, mangos, pears, coffee, orange juice, body lotion, facial wash, mouthwash, shaving cream from the grocery store. I saw Kayden at the grocery store.\"\n4137,2011/03/23,I did weight lifting on 2011/03/23.,I did weight lifting on 2011/03/23.\n4138,2011/03/23,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n4139,2011/03/23,\"I had sushi for lunch with Jackson, Benjamin\",\"I had sushi for lunch with Jackson, Benjamin\"\n4140,2011/03/23,\"I had fish and chips for dinner with Hazel, Kinsley, Eva, Nevaeh, Lydia, Avery, Claire, Rylee, Piper, Olivia\",\"I had fish and chips for dinner with Hazel, Kinsley, Eva, Nevaeh, Lydia, Avery, Claire, Rylee, Piper, Olivia\"\n4141,2011/03/23,\"I talked to Hazel, Layla for 8 minutes during lunch hours.\",\"I talked to Hazel, Layla for 8 minutes during lunch hours.\"\n4142,2011/03/23,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n4143,2011/03/23,I watched a movie for 20 minutes on TV today.,I watched a movie for 20 minutes on TV today.\n4144,2011/03/24,I did swimming on 2011/03/24.,I did swimming on 2011/03/24.\n4145,2011/03/24,I had oatmeal for breakfast with Kayden,I had oatmeal for breakfast with Kayden\n4146,2011/03/24,I ate sushi for lunch.,I ate sushi for lunch.\n4147,2011/03/24,I prepare sushi for dinner.,I prepare sushi for dinner.\n4148,2011/03/24,\"I spent 11 talking to Rylee, Kinsley, Nora, Avery on various topics late in the evening.\",\"I spent 11 talking to Rylee, Kinsley, Nora, Avery on various topics late in the evening.\"\n4149,2011/03/24,I spent 39 talking to Kinsley on various topics late in the evening.,I spent 39 talking to Kinsley on various topics late in the evening.\n4150,2011/03/24,\"I spent 45 talking to Lydia, Rylee on various topics during lunch hours.\",\"I spent 45 talking to Lydia, Rylee on various topics during lunch hours.\"\n4151,2011/03/24,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n4152,2011/03/24,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n4153,2011/03/25,I did running on 2011/03/25.,I did running on 2011/03/25.\n4154,2011/03/25,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n4155,2011/03/25,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n4156,2011/03/25,I had dinner with Emily. I ate steak.,I had dinner with Emily. I ate steak.\n4157,2011/03/25,I talked to Avery for 20 minutes in the late afternoon.,I talked to Avery for 20 minutes in the late afternoon.\n4158,2011/03/25,I talked to Rylee for 23 minutes in the early afternoon.,I talked to Rylee for 23 minutes in the early afternoon.\n4159,2011/03/25,\"I spent 19 talking to Nevaeh, Lydia on various topics in the late afternoon.\",\"I spent 19 talking to Nevaeh, Lydia on various topics in the late afternoon.\"\n4160,2011/03/25,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n4161,2011/03/25,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n4162,2011/03/26,I went on a date with Alon on 2011/03/26 at a coffee Shop,I went on a date with Alon on 2011/03/26 at a coffee Shop\n4163,2011/03/26,I did running on 2011/03/26.,I did running on 2011/03/26.\n4164,2011/03/26,\"I had breakfast with Eva, Claire, Piper, Nevaeh, Lydia, Layla, Nora, Rylee, Avery, Kinsley, Piper, Olivia. I ate pancakes.\",\"I had breakfast with Eva, Claire, Piper, Nevaeh, Lydia, Layla, Nora, Rylee, Avery, Kinsley, Piper, Olivia. I ate pancakes.\"\n4165,2011/03/26,I prepare tacos for lunch.,I prepare tacos for lunch.\n4166,2011/03/26,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n4167,2011/03/26,\"I spent 45 talking to Nora, Layla on various topics in the early afternoon.\",\"I spent 45 talking to Nora, Layla on various topics in the early afternoon.\"\n4168,2011/03/26,\"I talked to Avery, Lydia for 9 minutes during lunch hours.\",\"I talked to Avery, Lydia for 9 minutes during lunch hours.\"\n4169,2011/03/26,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n4170,2011/03/26,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n4171,2011/03/27,I did biking on 2011/03/27.,I did biking on 2011/03/27.\n4172,2011/03/27,I ate cereals for breakfast.,I ate cereals for breakfast.\n4173,2011/03/27,I prepare sushi for lunch.,I prepare sushi for lunch.\n4174,2011/03/27,I ate steak for dinner.,I ate steak for dinner.\n4175,2011/03/27,\"I talked to Layla, Piper, Nora, Rylee for 51 minutes in the morning.\",\"I talked to Layla, Piper, Nora, Rylee for 51 minutes in the morning.\"\n4176,2011/03/27,\"I spent 55 talking to Nora, Olivia, Hazel, Lydia on various topics in the early evening.\",\"I spent 55 talking to Nora, Olivia, Hazel, Lydia on various topics in the early evening.\"\n4177,2011/03/27,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n4178,2011/03/27,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n4179,2011/03/28,I did weight lifting on 2011/03/28.,I did weight lifting on 2011/03/28.\n4180,2011/03/28,\"I had breakfast with Rylee, Avery, Piper. I ate toast and cheese.\",\"I had breakfast with Rylee, Avery, Piper. I ate toast and cheese.\"\n4181,2011/03/28,I ate pasta for lunch.,I ate pasta for lunch.\n4182,2011/03/28,I prepare tacos for dinner.,I prepare tacos for dinner.\n4183,2011/03/28,\"I spent 14 talking to Piper, Piper, Nevaeh on various topics in the morning.\",\"I spent 14 talking to Piper, Piper, Nevaeh on various topics in the morning.\"\n4184,2011/03/28,\"I spent 33 talking to Piper, Eva, Hazel, Layla on various topics late in the evening.\",\"I spent 33 talking to Piper, Eva, Hazel, Layla on various topics late in the evening.\"\n4185,2011/03/28,\"I spent 25 talking to Kinsley, Claire on various topics in the early afternoon.\",\"I spent 25 talking to Kinsley, Claire on various topics in the early afternoon.\"\n4186,2011/03/28,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n4187,2011/03/28,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n4188,2011/03/29,I went on a date with Gabriel on 2011/03/29 at a restaurant,I went on a date with Gabriel on 2011/03/29 at a restaurant\n4189,2011/03/29,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n4190,2011/03/29,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n4191,2011/03/29,\"I had indian food for dinner with Piper, Eva, Piper, Lydia, Hazel\",\"I had indian food for dinner with Piper, Eva, Piper, Lydia, Hazel\"\n4192,2011/03/29,I spent 11 talking to Lydia on various topics in the early afternoon.,I spent 11 talking to Lydia on various topics in the early afternoon.\n4193,2011/03/29,\"I spent 20 talking to Rylee, Nevaeh on various topics in the early evening.\",\"I spent 20 talking to Rylee, Nevaeh on various topics in the early evening.\"\n4194,2011/03/29,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n4195,2011/03/29,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n4196,2011/03/30,I really enjoyed yoga on 2011/03/30,I really enjoyed yoga on 2011/03/30\n4197,2011/03/30,\"I went grocery shopping with Emily. I bought some watermelons, pears, peaches, strawberries, milk, mineral water, and body lotion, mouthwash, facial wash, shampoo\",\"I went grocery shopping with Emily. I bought some watermelons, pears, peaches, strawberries, milk, mineral water, and body lotion, mouthwash, facial wash, shampoo\"\n4198,2011/03/30,I did swimming on 2011/03/30.,I did swimming on 2011/03/30.\n4199,2011/03/30,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n4200,2011/03/30,I had lunch with Andrew. I ate sushi.,I had lunch with Andrew. I ate sushi.\n4201,2011/03/30,\"I had tacos for dinner with Carter, Andrew, Kayden, Emily\",\"I had tacos for dinner with Carter, Andrew, Kayden, Emily\"\n4202,2011/03/30,\"I spent 26 talking to Olivia, Nora, Lydia, Kinsley on various topics in the late afternoon.\",\"I spent 26 talking to Olivia, Nora, Lydia, Kinsley on various topics in the late afternoon.\"\n4203,2011/03/30,I spent 44 talking to Avery on various topics in the early afternoon.,I spent 44 talking to Avery on various topics in the early afternoon.\n4204,2011/03/30,\"I talked to Claire, Nora, Hazel, Piper for 30 minutes in the late afternoon.\",\"I talked to Claire, Nora, Hazel, Piper for 30 minutes in the late afternoon.\"\n4205,2011/03/30,\"I talked to Avery, Hazel, Eva for 22 minutes late in the evening.\",\"I talked to Avery, Hazel, Eva for 22 minutes late in the evening.\"\n4206,2011/03/30,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n4207,2011/03/30,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n4208,2011/03/31,I did running on 2011/03/31.,I did running on 2011/03/31.\n4209,2011/03/31,\"I had breakfast with Kayden, Carter, Emily, Andrew. I ate cereals.\",\"I had breakfast with Kayden, Carter, Emily, Andrew. I ate cereals.\"\n4210,2011/03/31,I prepare tacos for lunch.,I prepare tacos for lunch.\n4211,2011/03/31,I ate indian food for dinner.,I ate indian food for dinner.\n4212,2011/03/31,\"I spent 5 talking to Nora, Kinsley on various topics in the morning.\",\"I spent 5 talking to Nora, Kinsley on various topics in the morning.\"\n4213,2011/03/31,\"I talked to Hazel, Olivia, Nora, Claire for 32 minutes in the late afternoon.\",\"I talked to Hazel, Olivia, Nora, Claire for 32 minutes in the late afternoon.\"\n4214,2011/03/31,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n4215,2011/03/31,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n4216,2011/04/01,I did running on 2011/04/01.,I did running on 2011/04/01.\n4217,2011/04/01,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n4218,2011/04/01,I ate steak for lunch.,I ate steak for lunch.\n4219,2011/04/01,I prepare a burger for dinner.,I prepare a burger for dinner.\n4220,2011/04/01,\"I talked to Piper, Hazel, Piper, Avery for 23 minutes during lunch hours.\",\"I talked to Piper, Hazel, Piper, Avery for 23 minutes during lunch hours.\"\n4221,2011/04/01,I spent 17 talking to Nora on various topics late in the evening.,I spent 17 talking to Nora on various topics late in the evening.\n4222,2011/04/01,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n4223,2011/04/01,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n4224,2011/04/02,I did running on 2011/04/02.,I did running on 2011/04/02.\n4225,2011/04/02,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n4226,2011/04/02,I prepare steak for lunch.,I prepare steak for lunch.\n4227,2011/04/02,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n4228,2011/04/02,\"I talked to Kinsley, Olivia, Avery, Piper for 12 minutes in the early evening.\",\"I talked to Kinsley, Olivia, Avery, Piper for 12 minutes in the early evening.\"\n4229,2011/04/02,\"I spent 55 talking to Claire, Piper, Kinsley on various topics in the late afternoon.\",\"I spent 55 talking to Claire, Piper, Kinsley on various topics in the late afternoon.\"\n4230,2011/04/02,I spent 55 talking to Rylee on various topics late in the evening.,I spent 55 talking to Rylee on various topics late in the evening.\n4231,2011/04/02,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n4232,2011/04/02,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n4233,2011/04/03,\"I bought some raspberries, cherres, guava juice, body lotion, mouth wash, shaving cream, paper towel from the grocery store. I saw Claire, Hazel, Olivia, Layla, Piper, Nevaeh at the grocery store.\",\"I bought some raspberries, cherres, guava juice, body lotion, mouth wash, shaving cream, paper towel from the grocery store. I saw Claire, Hazel, Olivia, Layla, Piper, Nevaeh at the grocery store.\"\n4234,2011/04/03,I did biking on 2011/04/03.,I did biking on 2011/04/03.\n4235,2011/04/03,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n4236,2011/04/03,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n4237,2011/04/03,\"I had dinner with Rylee, Piper, Piper, Nevaeh, Eva, Kinsley, Nora, Hazel, Olivia, Claire, Avery, Lydia. I ate fish and chips.\",\"I had dinner with Rylee, Piper, Piper, Nevaeh, Eva, Kinsley, Nora, Hazel, Olivia, Claire, Avery, Lydia. I ate fish and chips.\"\n4238,2011/04/03,I spent 42 talking to Lydia on various topics during lunch hours.,I spent 42 talking to Lydia on various topics during lunch hours.\n4239,2011/04/03,\"I spent 52 talking to Claire, Rylee, Hazel on various topics in the early evening.\",\"I spent 52 talking to Claire, Rylee, Hazel on various topics in the early evening.\"\n4240,2011/04/03,\"I talked to Kinsley, Nevaeh, Piper for 52 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh, Piper for 52 minutes late in the evening.\"\n4241,2011/04/03,\"I spent 43 talking to Nevaeh, Layla, Nora on various topics in the early evening.\",\"I spent 43 talking to Nevaeh, Layla, Nora on various topics in the early evening.\"\n4242,2011/04/03,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n4243,2011/04/03,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n4244,2011/04/04,\"On 2011/04/04, I took Savannah on a date to a coffee Shop\",\"On 2011/04/04, I took Savannah on a date to a coffee Shop\"\n4245,2011/04/04,I did swimming on 2011/04/04.,I did swimming on 2011/04/04.\n4246,2011/04/04,\"I had oatmeal for breakfast with Carter, Kayden, Emily, Andrew\",\"I had oatmeal for breakfast with Carter, Kayden, Emily, Andrew\"\n4247,2011/04/04,I had lunch. I ate steak.,I had lunch. I ate steak.\n4248,2011/04/04,I ate pasta for dinner.,I ate pasta for dinner.\n4249,2011/04/04,I spent 34 talking to Nevaeh on various topics during lunch hours.,I spent 34 talking to Nevaeh on various topics during lunch hours.\n4250,2011/04/04,I spent 39 talking to Eva on various topics late in the evening.,I spent 39 talking to Eva on various topics late in the evening.\n4251,2011/04/04,I spent 27 minutes on social media today.,I spent 27 minutes on social media today.\n4252,2011/04/04,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n4253,2011/04/05,I did HIIT on 2011/04/05.,I did HIIT on 2011/04/05.\n4254,2011/04/05,\"I had toast and cheese for breakfast with Andrew, Emily, Kayden, Carter\",\"I had toast and cheese for breakfast with Andrew, Emily, Kayden, Carter\"\n4255,2011/04/05,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n4256,2011/04/05,\"I had dinner with Kayden, Carter. I ate tacos.\",\"I had dinner with Kayden, Carter. I ate tacos.\"\n4257,2011/04/05,\"I spent 28 talking to Layla, Hazel on various topics in the late afternoon.\",\"I spent 28 talking to Layla, Hazel on various topics in the late afternoon.\"\n4258,2011/04/05,I spent 35 talking to Piper on various topics in the late afternoon.,I spent 35 talking to Piper on various topics in the late afternoon.\n4259,2011/04/05,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n4260,2011/04/05,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n4261,2011/04/06,\"I went grocery shopping with Kinsley, Avery. I bought some apricots, chocolate milk, coffee, mineral water, and mouth wash, toilet paper, facial wash\",\"I went grocery shopping with Kinsley, Avery. I bought some apricots, chocolate milk, coffee, mineral water, and mouth wash, toilet paper, facial wash\"\n4262,2011/04/06,I did biking on 2011/04/06.,I did biking on 2011/04/06.\n4263,2011/04/06,\"I had breakfast with Nora, Kinsley, Piper, Hazel, Eva, Lydia. I ate eggs, sausages, and bread.\",\"I had breakfast with Nora, Kinsley, Piper, Hazel, Eva, Lydia. I ate eggs, sausages, and bread.\"\n4264,2011/04/06,\"I had lunch with Jackson, Benjamin, Willow. I ate fish and chips.\",\"I had lunch with Jackson, Benjamin, Willow. I ate fish and chips.\"\n4265,2011/04/06,\"I had dinner with Benjamin, Willow, Jackson, Avery. I ate chinese food.\",\"I had dinner with Benjamin, Willow, Jackson, Avery. I ate chinese food.\"\n4266,2011/04/06,\"I spent 15 talking to Hazel, Lydia, Nora on various topics during lunch hours.\",\"I spent 15 talking to Hazel, Lydia, Nora on various topics during lunch hours.\"\n4267,2011/04/06,\"I spent 12 talking to Piper, Nora, Nevaeh, Claire on various topics during lunch hours.\",\"I spent 12 talking to Piper, Nora, Nevaeh, Claire on various topics during lunch hours.\"\n4268,2011/04/06,\"I spent 18 talking to Olivia, Eva on various topics late in the evening.\",\"I spent 18 talking to Olivia, Eva on various topics late in the evening.\"\n4269,2011/04/06,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n4270,2011/04/06,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n4271,2011/04/07,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n4272,2011/04/07,\"I had lunch with Avery, Willow. I ate chinese food.\",\"I had lunch with Avery, Willow. I ate chinese food.\"\n4273,2011/04/07,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n4274,2011/04/07,\"I talked to Kinsley, Nevaeh for 43 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh for 43 minutes late in the evening.\"\n4275,2011/04/07,\"I spent 22 talking to Claire, Hazel, Piper, Eva on various topics in the early evening.\",\"I spent 22 talking to Claire, Hazel, Piper, Eva on various topics in the early evening.\"\n4276,2011/04/07,\"I talked to Piper, Layla for 41 minutes in the early afternoon.\",\"I talked to Piper, Layla for 41 minutes in the early afternoon.\"\n4277,2011/04/07,\"I talked to Kinsley, Lydia, Nevaeh, Rylee for 29 minutes in the early afternoon.\",\"I talked to Kinsley, Lydia, Nevaeh, Rylee for 29 minutes in the early afternoon.\"\n4278,2011/04/07,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n4279,2011/04/07,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n4280,2011/04/08,I did hiking on 2011/04/08.,I did hiking on 2011/04/08.\n4281,2011/04/08,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n4282,2011/04/08,I ate sushi for lunch.,I ate sushi for lunch.\n4283,2011/04/08,I ate steak for dinner.,I ate steak for dinner.\n4284,2011/04/08,\"I spent 23 talking to Piper, Layla on various topics late in the evening.\",\"I spent 23 talking to Piper, Layla on various topics late in the evening.\"\n4285,2011/04/08,\"I talked to Hazel, Claire, Kinsley for 43 minutes during lunch hours.\",\"I talked to Hazel, Claire, Kinsley for 43 minutes during lunch hours.\"\n4286,2011/04/08,I talked to Kinsley for 10 minutes in the late afternoon.,I talked to Kinsley for 10 minutes in the late afternoon.\n4287,2011/04/08,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n4288,2011/04/08,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n4289,2011/04/09,\"I bought some apricots, guava juice, apple juice, sports drinks, coffee, shaving cream, toothbrush, paper towel from the grocery store. I saw Nora, Rylee, Kinsley, Layla, Olivia, Lydia, Avery, Claire, Piper at the grocery store.\",\"I bought some apricots, guava juice, apple juice, sports drinks, coffee, shaving cream, toothbrush, paper towel from the grocery store. I saw Nora, Rylee, Kinsley, Layla, Olivia, Lydia, Avery, Claire, Piper at the grocery store.\"\n4290,2011/04/09,\"I had breakfast with Andrew, Kayden, Emily, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Kayden, Emily, Carter. I ate eggs, sausages, and bread.\"\n4291,2011/04/09,I ate pasta for lunch.,I ate pasta for lunch.\n4292,2011/04/09,I had dinner with Emily. I ate steak.,I had dinner with Emily. I ate steak.\n4293,2011/04/09,\"I talked to Rylee, Lydia, Eva, Avery for 45 minutes in the morning.\",\"I talked to Rylee, Lydia, Eva, Avery for 45 minutes in the morning.\"\n4294,2011/04/09,\"I spent 24 talking to Hazel, Layla, Rylee, Olivia on various topics in the early evening.\",\"I spent 24 talking to Hazel, Layla, Rylee, Olivia on various topics in the early evening.\"\n4295,2011/04/09,I spent 12 talking to Avery on various topics in the early evening.,I spent 12 talking to Avery on various topics in the early evening.\n4296,2011/04/09,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n4297,2011/04/09,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n4298,2011/04/10,I did swimming on 2011/04/10.,I did swimming on 2011/04/10.\n4299,2011/04/10,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n4300,2011/04/10,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n4301,2011/04/10,I prepare steak for dinner.,I prepare steak for dinner.\n4302,2011/04/10,\"I talked to Piper, Eva, Claire, Piper for 18 minutes during lunch hours.\",\"I talked to Piper, Eva, Claire, Piper for 18 minutes during lunch hours.\"\n4303,2011/04/10,\"I talked to Nevaeh, Piper for 26 minutes during lunch hours.\",\"I talked to Nevaeh, Piper for 26 minutes during lunch hours.\"\n4304,2011/04/10,\"I spent 21 talking to Piper, Layla, Nevaeh on various topics late in the evening.\",\"I spent 21 talking to Piper, Layla, Nevaeh on various topics late in the evening.\"\n4305,2011/04/10,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n4306,2011/04/10,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n4307,2011/04/11,I went on a date with Peyton on 2011/04/11 at a boba shop,I went on a date with Peyton on 2011/04/11 at a boba shop\n4308,2011/04/11,I did weight lifting on 2011/04/11.,I did weight lifting on 2011/04/11.\n4309,2011/04/11,I ate cereals for breakfast.,I ate cereals for breakfast.\n4310,2011/04/11,\"I had lunch with Kayden, Andrew, Carter. I ate a burger.\",\"I had lunch with Kayden, Andrew, Carter. I ate a burger.\"\n4311,2011/04/11,I prepare tacos for dinner.,I prepare tacos for dinner.\n4312,2011/04/11,\"I spent 10 talking to Piper, Piper on various topics in the early evening.\",\"I spent 10 talking to Piper, Piper on various topics in the early evening.\"\n4313,2011/04/11,I spent 13 talking to Eva on various topics in the morning.,I spent 13 talking to Eva on various topics in the morning.\n4314,2011/04/11,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n4315,2011/04/11,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n4316,2011/04/12,\"I bought some cherres, clementines, peaches, nectarines, soda, guava juice, shampoo, paper towel, toilet paper from the grocery store. I saw Andrew, Kayden at the grocery store.\",\"I bought some cherres, clementines, peaches, nectarines, soda, guava juice, shampoo, paper towel, toilet paper from the grocery store. I saw Andrew, Kayden at the grocery store.\"\n4317,2011/04/12,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n4318,2011/04/12,I prepare sushi for lunch.,I prepare sushi for lunch.\n4319,2011/04/12,I had dinner with Jackson. I ate chinese food.,I had dinner with Jackson. I ate chinese food.\n4320,2011/04/12,\"I talked to Avery, Rylee, Eva, Piper for 47 minutes late in the evening.\",\"I talked to Avery, Rylee, Eva, Piper for 47 minutes late in the evening.\"\n4321,2011/04/12,\"I spent 5 talking to Rylee, Claire on various topics in the morning.\",\"I spent 5 talking to Rylee, Claire on various topics in the morning.\"\n4322,2011/04/12,\"I spent 29 talking to Piper, Eva on various topics late in the evening.\",\"I spent 29 talking to Piper, Eva on various topics late in the evening.\"\n4323,2011/04/12,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n4324,2011/04/12,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n4325,2011/04/13,I really enjoyed gardening on 2011/04/13,I really enjoyed gardening on 2011/04/13\n4326,2011/04/13,I did HIIT on 2011/04/13.,I did HIIT on 2011/04/13.\n4327,2011/04/13,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n4328,2011/04/13,\"I had lunch with Kayden, Carter, Emily. I ate indian food.\",\"I had lunch with Kayden, Carter, Emily. I ate indian food.\"\n4329,2011/04/13,I ate sandwich for dinner.,I ate sandwich for dinner.\n4330,2011/04/13,\"I talked to Hazel, Avery, Layla for 10 minutes in the morning.\",\"I talked to Hazel, Avery, Layla for 10 minutes in the morning.\"\n4331,2011/04/13,\"I talked to Nevaeh, Kinsley for 45 minutes in the early evening.\",\"I talked to Nevaeh, Kinsley for 45 minutes in the early evening.\"\n4332,2011/04/13,\"I talked to Hazel, Claire, Avery, Piper for 14 minutes late in the evening.\",\"I talked to Hazel, Claire, Avery, Piper for 14 minutes late in the evening.\"\n4333,2011/04/13,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n4334,2011/04/13,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n4335,2011/04/14,I did weight lifting on 2011/04/14.,I did weight lifting on 2011/04/14.\n4336,2011/04/14,I had breakfast with Avery. I ate toast and cheese.,I had breakfast with Avery. I ate toast and cheese.\n4337,2011/04/14,\"I had lunch with Emily, Kayden. I ate sandwich.\",\"I had lunch with Emily, Kayden. I ate sandwich.\"\n4338,2011/04/14,\"I had dinner with Carter, Emily, Kayden. I ate steak.\",\"I had dinner with Carter, Emily, Kayden. I ate steak.\"\n4339,2011/04/14,\"I spent 40 talking to Kinsley, Hazel, Avery, Nora on various topics late in the evening.\",\"I spent 40 talking to Kinsley, Hazel, Avery, Nora on various topics late in the evening.\"\n4340,2011/04/14,\"I talked to Olivia, Piper, Layla for 50 minutes during lunch hours.\",\"I talked to Olivia, Piper, Layla for 50 minutes during lunch hours.\"\n4341,2011/04/14,\"I spent 50 talking to Nora, Piper, Piper on various topics in the late afternoon.\",\"I spent 50 talking to Nora, Piper, Piper on various topics in the late afternoon.\"\n4342,2011/04/14,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n4343,2011/04/14,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n4344,2011/04/15,I did biking on 2011/04/15.,I did biking on 2011/04/15.\n4345,2011/04/15,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n4346,2011/04/15,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n4347,2011/04/15,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n4348,2011/04/15,\"I talked to Eva, Rylee, Nevaeh, Kinsley for 43 minutes late in the evening.\",\"I talked to Eva, Rylee, Nevaeh, Kinsley for 43 minutes late in the evening.\"\n4349,2011/04/15,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n4350,2011/04/15,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n4351,2011/04/16,I did hiking on 2011/04/16.,I did hiking on 2011/04/16.\n4352,2011/04/16,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n4353,2011/04/16,I prepare indian food for lunch.,I prepare indian food for lunch.\n4354,2011/04/16,\"I had dinner with Kayden, Andrew. I ate sandwich.\",\"I had dinner with Kayden, Andrew. I ate sandwich.\"\n4355,2011/04/16,\"I talked to Piper, Avery for 38 minutes in the morning.\",\"I talked to Piper, Avery for 38 minutes in the morning.\"\n4356,2011/04/16,I talked to Piper for 48 minutes in the early afternoon.,I talked to Piper for 48 minutes in the early afternoon.\n4357,2011/04/16,I spent 42 talking to Piper on various topics during lunch hours.,I spent 42 talking to Piper on various topics during lunch hours.\n4358,2011/04/16,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n4359,2011/04/16,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n4360,2011/04/17,I did hiking on 2011/04/17.,I did hiking on 2011/04/17.\n4361,2011/04/17,\"I had breakfast with Andrew, Carter. I ate oatmeal.\",\"I had breakfast with Andrew, Carter. I ate oatmeal.\"\n4362,2011/04/17,\"I had sushi for lunch with Kinsley, Hazel, Rylee, Claire, Piper, Layla, Olivia, Piper, Avery, Nora, Eva, Nevaeh\",\"I had sushi for lunch with Kinsley, Hazel, Rylee, Claire, Piper, Layla, Olivia, Piper, Avery, Nora, Eva, Nevaeh\"\n4363,2011/04/17,I ate sandwich for dinner.,I ate sandwich for dinner.\n4364,2011/04/17,\"I talked to Kinsley, Lydia for 54 minutes during lunch hours.\",\"I talked to Kinsley, Lydia for 54 minutes during lunch hours.\"\n4365,2011/04/17,\"I spent 38 talking to Hazel, Kinsley, Claire, Nevaeh on various topics in the morning.\",\"I spent 38 talking to Hazel, Kinsley, Claire, Nevaeh on various topics in the morning.\"\n4366,2011/04/17,\"I talked to Hazel, Piper for 45 minutes during lunch hours.\",\"I talked to Hazel, Piper for 45 minutes during lunch hours.\"\n4367,2011/04/17,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n4368,2011/04/17,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n4369,2011/04/18,I went on a date with Jordan on 2011/04/18 at a park,I went on a date with Jordan on 2011/04/18 at a park\n4370,2011/04/18,I ate cereals for breakfast.,I ate cereals for breakfast.\n4371,2011/04/18,\"I had lunch with Emily, Andrew. I ate pasta.\",\"I had lunch with Emily, Andrew. I ate pasta.\"\n4372,2011/04/18,\"I had dinner with Kayden, Carter, Andrew. I ate pasta.\",\"I had dinner with Kayden, Carter, Andrew. I ate pasta.\"\n4373,2011/04/18,\"I talked to Kinsley, Lydia, Olivia for 53 minutes late in the evening.\",\"I talked to Kinsley, Lydia, Olivia for 53 minutes late in the evening.\"\n4374,2011/04/18,\"I talked to Claire, Rylee, Lydia, Nora for 34 minutes in the early afternoon.\",\"I talked to Claire, Rylee, Lydia, Nora for 34 minutes in the early afternoon.\"\n4375,2011/04/18,I talked to Rylee for 20 minutes in the late afternoon.,I talked to Rylee for 20 minutes in the late afternoon.\n4376,2011/04/18,\"I spent 27 talking to Eva, Kinsley on various topics in the early evening.\",\"I spent 27 talking to Eva, Kinsley on various topics in the early evening.\"\n4377,2011/04/18,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n4378,2011/04/18,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n4379,2011/04/19,I did swimming on 2011/04/19.,I did swimming on 2011/04/19.\n4380,2011/04/19,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n4381,2011/04/19,\"I had steak for lunch with Emily, Carter\",\"I had steak for lunch with Emily, Carter\"\n4382,2011/04/19,I ate chinese food for dinner.,I ate chinese food for dinner.\n4383,2011/04/19,\"I spent 12 talking to Layla, Eva on various topics late in the evening.\",\"I spent 12 talking to Layla, Eva on various topics late in the evening.\"\n4384,2011/04/19,\"I talked to Piper, Piper, Avery for 5 minutes during lunch hours.\",\"I talked to Piper, Piper, Avery for 5 minutes during lunch hours.\"\n4385,2011/04/19,\"I talked to Layla, Avery for 39 minutes in the early evening.\",\"I talked to Layla, Avery for 39 minutes in the early evening.\"\n4386,2011/04/19,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n4387,2011/04/19,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n4388,2011/04/20,I did weight lifting on 2011/04/20.,I did weight lifting on 2011/04/20.\n4389,2011/04/20,I had pancakes for breakfast with Jackson,I had pancakes for breakfast with Jackson\n4390,2011/04/20,\"I had steak for lunch with Piper, Kinsley, Piper\",\"I had steak for lunch with Piper, Kinsley, Piper\"\n4391,2011/04/20,\"I had dinner with Emily, Carter, Kayden, Andrew. I ate chinese food.\",\"I had dinner with Emily, Carter, Kayden, Andrew. I ate chinese food.\"\n4392,2011/04/20,I spent 40 talking to Lydia on various topics late in the evening.,I spent 40 talking to Lydia on various topics late in the evening.\n4393,2011/04/20,I spent 8 talking to Rylee on various topics in the late afternoon.,I spent 8 talking to Rylee on various topics in the late afternoon.\n4394,2011/04/20,\"I talked to Hazel, Piper, Claire, Kinsley for 42 minutes in the early evening.\",\"I talked to Hazel, Piper, Claire, Kinsley for 42 minutes in the early evening.\"\n4395,2011/04/20,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n4396,2011/04/20,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n4397,2011/04/21,I did biking on 2011/04/21.,I did biking on 2011/04/21.\n4398,2011/04/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n4399,2011/04/21,I prepare sushi for lunch.,I prepare sushi for lunch.\n4400,2011/04/21,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n4401,2011/04/21,I talked to Claire for 53 minutes during lunch hours.,I talked to Claire for 53 minutes during lunch hours.\n4402,2011/04/21,\"I talked to Lydia, Nora for 37 minutes late in the evening.\",\"I talked to Lydia, Nora for 37 minutes late in the evening.\"\n4403,2011/04/21,I spent 43 talking to Layla on various topics late in the evening.,I spent 43 talking to Layla on various topics late in the evening.\n4404,2011/04/21,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n4405,2011/04/21,I spent 48 minutes watching a documentary on TV today.,I spent 48 minutes watching a documentary on TV today.\n4406,2011/04/22,I spent time learning a language on 2011/04/22 with Andrew.,I spent time learning a language on 2011/04/22 with Andrew.\n4407,2011/04/22,\"I bought some watermelons, apples, bananas, soda, mineral water, body lotion from the grocery store. I saw Carter, Kayden, Andrew at the grocery store.\",\"I bought some watermelons, apples, bananas, soda, mineral water, body lotion from the grocery store. I saw Carter, Kayden, Andrew at the grocery store.\"\n4408,2011/04/22,I did HIIT on 2011/04/22.,I did HIIT on 2011/04/22.\n4409,2011/04/22,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n4410,2011/04/22,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n4411,2011/04/22,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n4412,2011/04/22,\"I talked to Hazel, Piper, Olivia, Lydia for 26 minutes in the early evening.\",\"I talked to Hazel, Piper, Olivia, Lydia for 26 minutes in the early evening.\"\n4413,2011/04/22,\"I spent 53 talking to Eva, Kinsley, Nevaeh on various topics late in the evening.\",\"I spent 53 talking to Eva, Kinsley, Nevaeh on various topics late in the evening.\"\n4414,2011/04/22,\"I spent 10 talking to Lydia, Kinsley, Avery, Piper on various topics late in the evening.\",\"I spent 10 talking to Lydia, Kinsley, Avery, Piper on various topics late in the evening.\"\n4415,2011/04/22,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n4416,2011/04/22,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n4417,2011/04/23,I did weight lifting on 2011/04/23.,I did weight lifting on 2011/04/23.\n4418,2011/04/23,\"I had breakfast with Emily, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew. I ate peanut-butter-jam.\"\n4419,2011/04/23,I had chinese food for lunch with Kayden,I had chinese food for lunch with Kayden\n4420,2011/04/23,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n4421,2011/04/23,\"I spent 39 talking to Piper, Nora, Nevaeh, Lydia on various topics in the early afternoon.\",\"I spent 39 talking to Piper, Nora, Nevaeh, Lydia on various topics in the early afternoon.\"\n4422,2011/04/23,\"I talked to Claire, Piper, Nevaeh, Kinsley for 45 minutes late in the evening.\",\"I talked to Claire, Piper, Nevaeh, Kinsley for 45 minutes late in the evening.\"\n4423,2011/04/23,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n4424,2011/04/23,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n4425,2011/04/24,\"On 2011/04/24, I took Brooklyn on a date to a boba shop\",\"On 2011/04/24, I took Brooklyn on a date to a boba shop\"\n4426,2011/04/24,I really enjoyed gardening on 2011/04/24,I really enjoyed gardening on 2011/04/24\n4427,2011/04/24,\"I bought some bananas, watermelons, peaches, pineapple juice, tea, milk, apple juice, mouthwash, mouth wash from the grocery store. I saw Kayden, Carter, Emily, Andrew at the grocery store.\",\"I bought some bananas, watermelons, peaches, pineapple juice, tea, milk, apple juice, mouthwash, mouth wash from the grocery store. I saw Kayden, Carter, Emily, Andrew at the grocery store.\"\n4428,2011/04/24,I did hiking on 2011/04/24.,I did hiking on 2011/04/24.\n4429,2011/04/24,I ate cereals for breakfast.,I ate cereals for breakfast.\n4430,2011/04/24,\"I had lunch with Kayden, Andrew. I ate a burger.\",\"I had lunch with Kayden, Andrew. I ate a burger.\"\n4431,2011/04/24,I had indian food for dinner with Benjamin,I had indian food for dinner with Benjamin\n4432,2011/04/24,I talked to Hazel for 50 minutes in the late afternoon.,I talked to Hazel for 50 minutes in the late afternoon.\n4433,2011/04/24,\"I talked to Nevaeh, Layla for 11 minutes in the early afternoon.\",\"I talked to Nevaeh, Layla for 11 minutes in the early afternoon.\"\n4434,2011/04/24,I talked to Eva for 12 minutes in the morning.,I talked to Eva for 12 minutes in the morning.\n4435,2011/04/24,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n4436,2011/04/24,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n4437,2011/04/25,I did biking on 2011/04/25.,I did biking on 2011/04/25.\n4438,2011/04/25,I had peanut-butter-jam for breakfast with Carter,I had peanut-butter-jam for breakfast with Carter\n4439,2011/04/25,I prepare steak for lunch.,I prepare steak for lunch.\n4440,2011/04/25,\"I had chinese food for dinner with Claire, Olivia, Nevaeh, Rylee, Eva, Layla, Avery, Piper, Piper, Lydia, Kinsley\",\"I had chinese food for dinner with Claire, Olivia, Nevaeh, Rylee, Eva, Layla, Avery, Piper, Piper, Lydia, Kinsley\"\n4441,2011/04/25,I spent 23 talking to Piper on various topics in the early evening.,I spent 23 talking to Piper on various topics in the early evening.\n4442,2011/04/25,\"I spent 28 talking to Lydia, Nora on various topics during lunch hours.\",\"I spent 28 talking to Lydia, Nora on various topics during lunch hours.\"\n4443,2011/04/25,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n4444,2011/04/25,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n4445,2011/04/26,I did hiking on 2011/04/26.,I did hiking on 2011/04/26.\n4446,2011/04/26,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n4447,2011/04/26,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n4448,2011/04/26,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n4449,2011/04/26,\"I spent 41 talking to Piper, Olivia on various topics in the early afternoon.\",\"I spent 41 talking to Piper, Olivia on various topics in the early afternoon.\"\n4450,2011/04/26,\"I talked to Nevaeh, Nora for 36 minutes late in the evening.\",\"I talked to Nevaeh, Nora for 36 minutes late in the evening.\"\n4451,2011/04/26,\"I spent 5 talking to Nevaeh, Nora on various topics in the morning.\",\"I spent 5 talking to Nevaeh, Nora on various topics in the morning.\"\n4452,2011/04/26,I talked to Nevaeh for 42 minutes in the morning.,I talked to Nevaeh for 42 minutes in the morning.\n4453,2011/04/26,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n4454,2011/04/26,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n4455,2011/04/27,I went for an annual physical checkup on 2011/04/27 at the private clinic.,I went for an annual physical checkup on 2011/04/27 at the private clinic.\n4456,2011/04/27,\"I bought some blackberries, guava, sports drinks, mineral water, tea, apple juice, shaving cream, body lotion, paper towel from the grocery store. I saw Olivia, Nevaeh, Piper, Claire, Hazel, Piper, Rylee, Nora, Eva, Layla, Avery at the grocery store.\",\"I bought some blackberries, guava, sports drinks, mineral water, tea, apple juice, shaving cream, body lotion, paper towel from the grocery store. I saw Olivia, Nevaeh, Piper, Claire, Hazel, Piper, Rylee, Nora, Eva, Layla, Avery at the grocery store.\"\n4457,2011/04/27,I did hiking on 2011/04/27.,I did hiking on 2011/04/27.\n4458,2011/04/27,\"I had cereals for breakfast with Willow, Avery, Benjamin, Jackson\",\"I had cereals for breakfast with Willow, Avery, Benjamin, Jackson\"\n4459,2011/04/27,I prepare tacos for lunch.,I prepare tacos for lunch.\n4460,2011/04/27,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n4461,2011/04/27,\"I spent 21 talking to Layla, Lydia, Kinsley on various topics in the late afternoon.\",\"I spent 21 talking to Layla, Lydia, Kinsley on various topics in the late afternoon.\"\n4462,2011/04/27,\"I talked to Avery, Hazel, Piper for 27 minutes in the late afternoon.\",\"I talked to Avery, Hazel, Piper for 27 minutes in the late afternoon.\"\n4463,2011/04/27,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n4464,2011/04/27,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n4465,2011/04/28,I did weight lifting on 2011/04/28.,I did weight lifting on 2011/04/28.\n4466,2011/04/28,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n4467,2011/04/28,\"I had lunch with Andrew, Emily, Kayden, Carter. I ate sushi.\",\"I had lunch with Andrew, Emily, Kayden, Carter. I ate sushi.\"\n4468,2011/04/28,\"I had a burger for dinner with Emily, Carter, Andrew, Kayden\",\"I had a burger for dinner with Emily, Carter, Andrew, Kayden\"\n4469,2011/04/28,\"I talked to Piper, Nora for 27 minutes in the late afternoon.\",\"I talked to Piper, Nora for 27 minutes in the late afternoon.\"\n4470,2011/04/28,\"I spent 33 talking to Nora, Lydia on various topics in the late afternoon.\",\"I spent 33 talking to Nora, Lydia on various topics in the late afternoon.\"\n4471,2011/04/28,I talked to Piper for 33 minutes in the morning.,I talked to Piper for 33 minutes in the morning.\n4472,2011/04/28,\"I talked to Nora, Layla for 51 minutes during lunch hours.\",\"I talked to Nora, Layla for 51 minutes during lunch hours.\"\n4473,2011/04/28,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n4474,2011/04/28,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n4475,2011/04/29,I did weight lifting on 2011/04/29.,I did weight lifting on 2011/04/29.\n4476,2011/04/29,\"I had oatmeal for breakfast with Willow, Benjamin\",\"I had oatmeal for breakfast with Willow, Benjamin\"\n4477,2011/04/29,I prepare steak for lunch.,I prepare steak for lunch.\n4478,2011/04/29,I had dinner with Kayden. I ate sushi.,I had dinner with Kayden. I ate sushi.\n4479,2011/04/29,I spent 49 talking to Nevaeh on various topics in the morning.,I spent 49 talking to Nevaeh on various topics in the morning.\n4480,2011/04/29,I spent 51 talking to Nora on various topics in the morning.,I spent 51 talking to Nora on various topics in the morning.\n4481,2011/04/29,\"I talked to Claire, Kinsley for 45 minutes late in the evening.\",\"I talked to Claire, Kinsley for 45 minutes late in the evening.\"\n4482,2011/04/29,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n4483,2011/04/29,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n4484,2011/04/30,\"On 2011/04/30, I took Nicholas on a date to a coffee Shop\",\"On 2011/04/30, I took Nicholas on a date to a coffee Shop\"\n4485,2011/04/30,\"I bought some apples, nectarines, guava, coffee, guava juice, orange juice, body lotion, facial wash online.\",\"I bought some apples, nectarines, guava, coffee, guava juice, orange juice, body lotion, facial wash online.\"\n4486,2011/04/30,I did hiking on 2011/04/30.,I did hiking on 2011/04/30.\n4487,2011/04/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n4488,2011/04/30,I ate sushi for lunch.,I ate sushi for lunch.\n4489,2011/04/30,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n4490,2011/04/30,I spent 54 talking to Piper on various topics in the early evening.,I spent 54 talking to Piper on various topics in the early evening.\n4491,2011/04/30,\"I spent 39 talking to Piper, Layla, Nora on various topics during lunch hours.\",\"I spent 39 talking to Piper, Layla, Nora on various topics during lunch hours.\"\n4492,2011/04/30,\"I spent 50 talking to Hazel, Rylee, Piper, Layla on various topics in the morning.\",\"I spent 50 talking to Hazel, Rylee, Piper, Layla on various topics in the morning.\"\n4493,2011/04/30,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n4494,2011/04/30,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n4495,2011/05/01,I did weight lifting on 2011/05/01.,I did weight lifting on 2011/05/01.\n4496,2011/05/01,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n4497,2011/05/01,I ate tacos for lunch.,I ate tacos for lunch.\n4498,2011/05/01,\"I had sushi for dinner with Andrew, Kayden, Carter, Emily\",\"I had sushi for dinner with Andrew, Kayden, Carter, Emily\"\n4499,2011/05/01,\"I spent 54 talking to Piper, Hazel, Avery, Nora on various topics in the morning.\",\"I spent 54 talking to Piper, Hazel, Avery, Nora on various topics in the morning.\"\n4500,2011/05/01,\"I spent 7 talking to Lydia, Avery, Piper on various topics in the morning.\",\"I spent 7 talking to Lydia, Avery, Piper on various topics in the morning.\"\n4501,2011/05/01,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n4502,2011/05/01,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n4503,2011/05/02,I spent some time working out on 2011/05/02.,I spent some time working out on 2011/05/02.\n4504,2011/05/02,I did HIIT on 2011/05/02.,I did HIIT on 2011/05/02.\n4505,2011/05/02,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n4506,2011/05/02,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n4507,2011/05/02,I prepare indian food for dinner.,I prepare indian food for dinner.\n4508,2011/05/02,I talked to Layla for 35 minutes during lunch hours.,I talked to Layla for 35 minutes during lunch hours.\n4509,2011/05/02,I talked to Piper for 51 minutes in the early afternoon.,I talked to Piper for 51 minutes in the early afternoon.\n4510,2011/05/02,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n4511,2011/05/02,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n4512,2011/05/03,I did swimming on 2011/05/03.,I did swimming on 2011/05/03.\n4513,2011/05/03,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n4514,2011/05/03,I prepare a burger for lunch.,I prepare a burger for lunch.\n4515,2011/05/03,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n4516,2011/05/03,\"I talked to Kinsley, Piper, Nevaeh, Piper for 36 minutes late in the evening.\",\"I talked to Kinsley, Piper, Nevaeh, Piper for 36 minutes late in the evening.\"\n4517,2011/05/03,\"I spent 27 talking to Avery, Rylee, Olivia, Lydia on various topics late in the evening.\",\"I spent 27 talking to Avery, Rylee, Olivia, Lydia on various topics late in the evening.\"\n4518,2011/05/03,\"I talked to Avery, Piper, Rylee for 51 minutes in the late afternoon.\",\"I talked to Avery, Piper, Rylee for 51 minutes in the late afternoon.\"\n4519,2011/05/03,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n4520,2011/05/03,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n4521,2011/05/04,\"I went grocery shopping. I bought some blackberries, soda, and shampoo\",\"I went grocery shopping. I bought some blackberries, soda, and shampoo\"\n4522,2011/05/04,I did hiking on 2011/05/04.,I did hiking on 2011/05/04.\n4523,2011/05/04,\"I had breakfast with Carter, Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\"\n4524,2011/05/04,I ate tacos for lunch.,I ate tacos for lunch.\n4525,2011/05/04,I ate pasta for dinner.,I ate pasta for dinner.\n4526,2011/05/04,\"I talked to Kinsley, Piper for 50 minutes late in the evening.\",\"I talked to Kinsley, Piper for 50 minutes late in the evening.\"\n4527,2011/05/04,\"I talked to Piper, Lydia, Eva, Piper for 52 minutes in the early evening.\",\"I talked to Piper, Lydia, Eva, Piper for 52 minutes in the early evening.\"\n4528,2011/05/04,\"I spent 47 talking to Nevaeh, Lydia, Piper, Nora on various topics in the morning.\",\"I spent 47 talking to Nevaeh, Lydia, Piper, Nora on various topics in the morning.\"\n4529,2011/05/04,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n4530,2011/05/04,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n4531,2011/05/05,I spent some time meditation on 2011/05/05.,I spent some time meditation on 2011/05/05.\n4532,2011/05/05,I did HIIT on 2011/05/05.,I did HIIT on 2011/05/05.\n4533,2011/05/05,\"I had breakfast with Kayden, Carter, Emily. I ate oatmeal.\",\"I had breakfast with Kayden, Carter, Emily. I ate oatmeal.\"\n4534,2011/05/05,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n4535,2011/05/05,\"I had chinese food for dinner with Kayden, Andrew, Emily\",\"I had chinese food for dinner with Kayden, Andrew, Emily\"\n4536,2011/05/05,\"I spent 10 talking to Piper, Olivia, Hazel, Layla on various topics in the early afternoon.\",\"I spent 10 talking to Piper, Olivia, Hazel, Layla on various topics in the early afternoon.\"\n4537,2011/05/05,I spent 45 talking to Lydia on various topics in the early evening.,I spent 45 talking to Lydia on various topics in the early evening.\n4538,2011/05/05,\"I talked to Rylee, Hazel for 20 minutes in the morning.\",\"I talked to Rylee, Hazel for 20 minutes in the morning.\"\n4539,2011/05/05,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n4540,2011/05/05,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n4541,2011/05/06,\"I had toast and cheese for breakfast with Carter, Kayden, Andrew, Emily\",\"I had toast and cheese for breakfast with Carter, Kayden, Andrew, Emily\"\n4542,2011/05/06,\"I had fish and chips for lunch with Emily, Kayden, Andrew\",\"I had fish and chips for lunch with Emily, Kayden, Andrew\"\n4543,2011/05/06,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n4544,2011/05/06,\"I spent 24 talking to Lydia, Piper on various topics in the early evening.\",\"I spent 24 talking to Lydia, Piper on various topics in the early evening.\"\n4545,2011/05/06,\"I talked to Olivia, Rylee, Eva for 6 minutes in the early afternoon.\",\"I talked to Olivia, Rylee, Eva for 6 minutes in the early afternoon.\"\n4546,2011/05/06,\"I spent 40 talking to Piper, Eva on various topics in the early evening.\",\"I spent 40 talking to Piper, Eva on various topics in the early evening.\"\n4547,2011/05/06,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n4548,2011/05/06,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n4549,2011/05/07,I did running on 2011/05/07.,I did running on 2011/05/07.\n4550,2011/05/07,\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew, Emily\",\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew, Emily\"\n4551,2011/05/07,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n4552,2011/05/07,\"I had tacos for dinner with Kayden, Emily\",\"I had tacos for dinner with Kayden, Emily\"\n4553,2011/05/07,I talked to Nora for 24 minutes in the late afternoon.,I talked to Nora for 24 minutes in the late afternoon.\n4554,2011/05/07,\"I spent 32 talking to Kinsley, Claire on various topics in the early evening.\",\"I spent 32 talking to Kinsley, Claire on various topics in the early evening.\"\n4555,2011/05/07,I spent 36 talking to Piper on various topics in the early evening.,I spent 36 talking to Piper on various topics in the early evening.\n4556,2011/05/07,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n4557,2011/05/07,I spent 33 minutes watching a movie on TV today.,I spent 33 minutes watching a movie on TV today.\n4558,2011/05/08,I went on a date with Sarah on 2011/05/08 at a restaurant,I went on a date with Sarah on 2011/05/08 at a restaurant\n4559,2011/05/08,I did biking on 2011/05/08.,I did biking on 2011/05/08.\n4560,2011/05/08,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n4561,2011/05/08,I had lunch with Benjamin. I ate tacos.,I had lunch with Benjamin. I ate tacos.\n4562,2011/05/08,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n4563,2011/05/08,I talked to Claire for 30 minutes during lunch hours.,I talked to Claire for 30 minutes during lunch hours.\n4564,2011/05/08,I spent 22 talking to Claire on various topics in the early afternoon.,I spent 22 talking to Claire on various topics in the early afternoon.\n4565,2011/05/08,\"I talked to Olivia, Lydia, Hazel for 37 minutes in the early afternoon.\",\"I talked to Olivia, Lydia, Hazel for 37 minutes in the early afternoon.\"\n4566,2011/05/08,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n4567,2011/05/08,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n4568,2011/05/09,\"I bought some blackberries, mineral water, toothbrush, shampoo, toothpaste, facial wash online.\",\"I bought some blackberries, mineral water, toothbrush, shampoo, toothpaste, facial wash online.\"\n4569,2011/05/09,I did HIIT on 2011/05/09.,I did HIIT on 2011/05/09.\n4570,2011/05/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n4571,2011/05/09,I prepare pasta for lunch.,I prepare pasta for lunch.\n4572,2011/05/09,\"I had chinese food for dinner with Andrew, Carter, Kayden\",\"I had chinese food for dinner with Andrew, Carter, Kayden\"\n4573,2011/05/09,I talked to Piper for 49 minutes during lunch hours.,I talked to Piper for 49 minutes during lunch hours.\n4574,2011/05/09,I talked to Avery for 5 minutes in the morning.,I talked to Avery for 5 minutes in the morning.\n4575,2011/05/09,\"I spent 33 talking to Piper, Avery, Layla on various topics in the morning.\",\"I spent 33 talking to Piper, Avery, Layla on various topics in the morning.\"\n4576,2011/05/09,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n4577,2011/05/09,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n4578,2011/05/10,I did biking on 2011/05/10.,I did biking on 2011/05/10.\n4579,2011/05/10,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n4580,2011/05/10,\"I had lunch with Piper, Claire, Hazel, Olivia, Nevaeh, Lydia. I ate sushi.\",\"I had lunch with Piper, Claire, Hazel, Olivia, Nevaeh, Lydia. I ate sushi.\"\n4581,2011/05/10,I prepare a burger for dinner.,I prepare a burger for dinner.\n4582,2011/05/10,\"I spent 8 talking to Nevaeh, Olivia on various topics in the early evening.\",\"I spent 8 talking to Nevaeh, Olivia on various topics in the early evening.\"\n4583,2011/05/10,I spent 26 talking to Lydia on various topics in the late afternoon.,I spent 26 talking to Lydia on various topics in the late afternoon.\n4584,2011/05/10,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n4585,2011/05/10,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n4586,2011/05/11,I did hiking on 2011/05/11.,I did hiking on 2011/05/11.\n4587,2011/05/11,\"I had toast and cheese for breakfast with Claire, Layla\",\"I had toast and cheese for breakfast with Claire, Layla\"\n4588,2011/05/11,\"I had indian food for lunch with Andrew, Carter, Kayden, Emily\",\"I had indian food for lunch with Andrew, Carter, Kayden, Emily\"\n4589,2011/05/11,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n4590,2011/05/11,\"I spent 42 talking to Eva, Piper, Claire on various topics during lunch hours.\",\"I spent 42 talking to Eva, Piper, Claire on various topics during lunch hours.\"\n4591,2011/05/11,I spent 42 talking to Eva on various topics in the early afternoon.,I spent 42 talking to Eva on various topics in the early afternoon.\n4592,2011/05/11,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n4593,2011/05/11,I spent 37 minutes watching a tv series on TV today.,I spent 37 minutes watching a tv series on TV today.\n4594,2011/05/12,\"On 2011/05/12, I took Grace on a date to a coffee Shop\",\"On 2011/05/12, I took Grace on a date to a coffee Shop\"\n4595,2011/05/12,I did running on 2011/05/12.,I did running on 2011/05/12.\n4596,2011/05/12,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n4597,2011/05/12,I had lunch with Andrew. I ate sandwich.,I had lunch with Andrew. I ate sandwich.\n4598,2011/05/12,I had dinner. I ate steak.,I had dinner. I ate steak.\n4599,2011/05/12,\"I talked to Olivia, Nora, Piper, Eva for 26 minutes in the late afternoon.\",\"I talked to Olivia, Nora, Piper, Eva for 26 minutes in the late afternoon.\"\n4600,2011/05/12,\"I talked to Claire, Avery, Lydia for 20 minutes late in the evening.\",\"I talked to Claire, Avery, Lydia for 20 minutes late in the evening.\"\n4601,2011/05/12,\"I talked to Piper, Nora, Piper for 31 minutes in the morning.\",\"I talked to Piper, Nora, Piper for 31 minutes in the morning.\"\n4602,2011/05/12,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n4603,2011/05/12,I spent 31 minutes watching a tv series on TV today.,I spent 31 minutes watching a tv series on TV today.\n4604,2011/05/13,\"I bought some pears, sports drinks, mineral water, mango juice, paper towel, shampoo, conditioner online.\",\"I bought some pears, sports drinks, mineral water, mango juice, paper towel, shampoo, conditioner online.\"\n4605,2011/05/13,I did HIIT on 2011/05/13.,I did HIIT on 2011/05/13.\n4606,2011/05/13,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n4607,2011/05/13,\"I had sushi for lunch with Kinsley, Piper, Hazel, Claire\",\"I had sushi for lunch with Kinsley, Piper, Hazel, Claire\"\n4608,2011/05/13,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n4609,2011/05/13,\"I spent 51 talking to Kinsley, Nevaeh, Lydia on various topics in the early afternoon.\",\"I spent 51 talking to Kinsley, Nevaeh, Lydia on various topics in the early afternoon.\"\n4610,2011/05/13,\"I spent 42 talking to Nora, Claire on various topics late in the evening.\",\"I spent 42 talking to Nora, Claire on various topics late in the evening.\"\n4611,2011/05/13,\"I talked to Layla, Nevaeh, Hazel for 15 minutes late in the evening.\",\"I talked to Layla, Nevaeh, Hazel for 15 minutes late in the evening.\"\n4612,2011/05/13,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n4613,2011/05/13,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n4614,2011/05/14,I did hiking on 2011/05/14.,I did hiking on 2011/05/14.\n4615,2011/05/14,\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\"\n4616,2011/05/14,I ate sushi for lunch.,I ate sushi for lunch.\n4617,2011/05/14,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n4618,2011/05/14,I spent 33 talking to Olivia on various topics during lunch hours.,I spent 33 talking to Olivia on various topics during lunch hours.\n4619,2011/05/14,\"I spent 26 talking to Avery, Olivia, Nora, Kinsley on various topics during lunch hours.\",\"I spent 26 talking to Avery, Olivia, Nora, Kinsley on various topics during lunch hours.\"\n4620,2011/05/14,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n4621,2011/05/14,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n4622,2011/05/15,I did swimming on 2011/05/15.,I did swimming on 2011/05/15.\n4623,2011/05/15,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n4624,2011/05/15,I prepare pasta for lunch.,I prepare pasta for lunch.\n4625,2011/05/15,\"I had a burger for dinner with Kayden, Carter\",\"I had a burger for dinner with Kayden, Carter\"\n4626,2011/05/15,I talked to Nora for 27 minutes during lunch hours.,I talked to Nora for 27 minutes during lunch hours.\n4627,2011/05/15,I talked to Avery for 20 minutes late in the evening.,I talked to Avery for 20 minutes late in the evening.\n4628,2011/05/15,\"I talked to Nora, Olivia, Piper, Lydia for 17 minutes in the morning.\",\"I talked to Nora, Olivia, Piper, Lydia for 17 minutes in the morning.\"\n4629,2011/05/15,\"I talked to Piper, Claire, Eva for 30 minutes in the early evening.\",\"I talked to Piper, Claire, Eva for 30 minutes in the early evening.\"\n4630,2011/05/15,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n4631,2011/05/15,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n4632,2011/05/16,I did hiking on 2011/05/16.,I did hiking on 2011/05/16.\n4633,2011/05/16,\"I had toast and cheese for breakfast with Kayden, Carter, Emily, Andrew\",\"I had toast and cheese for breakfast with Kayden, Carter, Emily, Andrew\"\n4634,2011/05/16,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n4635,2011/05/16,I ate chinese food for dinner.,I ate chinese food for dinner.\n4636,2011/05/16,I spent 32 talking to Eva on various topics in the early evening.,I spent 32 talking to Eva on various topics in the early evening.\n4637,2011/05/16,\"I spent 27 talking to Olivia, Piper on various topics in the early afternoon.\",\"I spent 27 talking to Olivia, Piper on various topics in the early afternoon.\"\n4638,2011/05/16,\"I talked to Piper, Nora, Piper, Eva for 50 minutes in the early evening.\",\"I talked to Piper, Nora, Piper, Eva for 50 minutes in the early evening.\"\n4639,2011/05/16,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n4640,2011/05/16,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n4641,2011/05/17,I did biking on 2011/05/17.,I did biking on 2011/05/17.\n4642,2011/05/17,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n4643,2011/05/17,\"I had lunch with Willow, Avery. I ate tacos.\",\"I had lunch with Willow, Avery. I ate tacos.\"\n4644,2011/05/17,I prepare steak for dinner.,I prepare steak for dinner.\n4645,2011/05/17,\"I talked to Rylee, Lydia, Nevaeh, Olivia for 37 minutes in the early afternoon.\",\"I talked to Rylee, Lydia, Nevaeh, Olivia for 37 minutes in the early afternoon.\"\n4646,2011/05/17,\"I talked to Piper, Layla, Rylee, Avery for 47 minutes in the early evening.\",\"I talked to Piper, Layla, Rylee, Avery for 47 minutes in the early evening.\"\n4647,2011/05/17,I talked to Nora for 53 minutes in the early afternoon.,I talked to Nora for 53 minutes in the early afternoon.\n4648,2011/05/17,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n4649,2011/05/17,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n4650,2011/05/18,I ate cereals for breakfast.,I ate cereals for breakfast.\n4651,2011/05/18,I prepare indian food for lunch.,I prepare indian food for lunch.\n4652,2011/05/18,I prepare pasta for dinner.,I prepare pasta for dinner.\n4653,2011/05/18,\"I spent 26 talking to Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 26 talking to Piper, Nevaeh on various topics in the early afternoon.\"\n4654,2011/05/18,\"I spent 39 talking to Piper, Claire, Lydia on various topics in the early afternoon.\",\"I spent 39 talking to Piper, Claire, Lydia on various topics in the early afternoon.\"\n4655,2011/05/18,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n4656,2011/05/18,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n4657,2011/05/19,I did hiking on 2011/05/19.,I did hiking on 2011/05/19.\n4658,2011/05/19,\"I had breakfast with Emily, Carter. I ate oatmeal.\",\"I had breakfast with Emily, Carter. I ate oatmeal.\"\n4659,2011/05/19,I ate tacos for lunch.,I ate tacos for lunch.\n4660,2011/05/19,\"I had chinese food for dinner with Emily, Andrew, Kayden, Carter\",\"I had chinese food for dinner with Emily, Andrew, Kayden, Carter\"\n4661,2011/05/19,\"I spent 30 talking to Lydia, Layla, Olivia on various topics in the early afternoon.\",\"I spent 30 talking to Lydia, Layla, Olivia on various topics in the early afternoon.\"\n4662,2011/05/19,\"I spent 16 talking to Nevaeh, Olivia on various topics late in the evening.\",\"I spent 16 talking to Nevaeh, Olivia on various topics late in the evening.\"\n4663,2011/05/19,\"I talked to Nevaeh, Rylee, Piper for 41 minutes in the late afternoon.\",\"I talked to Nevaeh, Rylee, Piper for 41 minutes in the late afternoon.\"\n4664,2011/05/19,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n4665,2011/05/19,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n4666,2011/05/20,I spent time meditation on 2011/05/20 with Olivia.,I spent time meditation on 2011/05/20 with Olivia.\n4667,2011/05/20,I did swimming on 2011/05/20.,I did swimming on 2011/05/20.\n4668,2011/05/20,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n4669,2011/05/20,\"I had a burger for lunch with Carter, Kayden, Andrew, Emily\",\"I had a burger for lunch with Carter, Kayden, Andrew, Emily\"\n4670,2011/05/20,\"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\",\"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\"\n4671,2011/05/20,\"I talked to Eva, Kinsley for 35 minutes in the early afternoon.\",\"I talked to Eva, Kinsley for 35 minutes in the early afternoon.\"\n4672,2011/05/20,I spent 39 talking to Piper on various topics in the early afternoon.,I spent 39 talking to Piper on various topics in the early afternoon.\n4673,2011/05/20,\"I spent 36 talking to Piper, Hazel, Layla, Nora on various topics in the late afternoon.\",\"I spent 36 talking to Piper, Hazel, Layla, Nora on various topics in the late afternoon.\"\n4674,2011/05/20,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n4675,2011/05/20,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n4676,2011/05/21,\"I bought some clementines, sports drinks, toothpaste, toothbrush online.\",\"I bought some clementines, sports drinks, toothpaste, toothbrush online.\"\n4677,2011/05/21,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n4678,2011/05/21,\"I had pasta for lunch with Benjamin, Avery, Jackson\",\"I had pasta for lunch with Benjamin, Avery, Jackson\"\n4679,2011/05/21,\"I had dinner with Layla, Avery, Olivia, Kinsley. I ate a burger.\",\"I had dinner with Layla, Avery, Olivia, Kinsley. I ate a burger.\"\n4680,2011/05/21,\"I spent 6 talking to Avery, Claire, Nevaeh on various topics late in the evening.\",\"I spent 6 talking to Avery, Claire, Nevaeh on various topics late in the evening.\"\n4681,2011/05/21,I talked to Hazel for 46 minutes late in the evening.,I talked to Hazel for 46 minutes late in the evening.\n4682,2011/05/21,\"I spent 19 talking to Hazel, Olivia, Kinsley on various topics in the early evening.\",\"I spent 19 talking to Hazel, Olivia, Kinsley on various topics in the early evening.\"\n4683,2011/05/21,\"I spent 41 talking to Lydia, Rylee, Piper on various topics during lunch hours.\",\"I spent 41 talking to Lydia, Rylee, Piper on various topics during lunch hours.\"\n4684,2011/05/21,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n4685,2011/05/21,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n4686,2011/05/22,\"On 2011/05/22, I took Isaiah on a date to a coffee Shop\",\"On 2011/05/22, I took Isaiah on a date to a coffee Shop\"\n4687,2011/05/22,I did swimming on 2011/05/22.,I did swimming on 2011/05/22.\n4688,2011/05/22,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n4689,2011/05/22,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n4690,2011/05/22,\"I had chinese food for dinner with Kayden, Emily, Andrew\",\"I had chinese food for dinner with Kayden, Emily, Andrew\"\n4691,2011/05/22,I talked to Layla for 33 minutes in the early evening.,I talked to Layla for 33 minutes in the early evening.\n4692,2011/05/22,\"I talked to Eva, Lydia, Nora, Kinsley for 23 minutes in the early afternoon.\",\"I talked to Eva, Lydia, Nora, Kinsley for 23 minutes in the early afternoon.\"\n4693,2011/05/22,\"I spent 21 talking to Nevaeh, Hazel, Nora on various topics during lunch hours.\",\"I spent 21 talking to Nevaeh, Hazel, Nora on various topics during lunch hours.\"\n4694,2011/05/22,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n4695,2011/05/22,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n4696,2011/05/23,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n4697,2011/05/23,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n4698,2011/05/23,\"I had steak for dinner with Kayden, Emily, Andrew, Carter\",\"I had steak for dinner with Kayden, Emily, Andrew, Carter\"\n4699,2011/05/23,I spent 50 talking to Avery on various topics in the early evening.,I spent 50 talking to Avery on various topics in the early evening.\n4700,2011/05/23,I spent 15 talking to Olivia on various topics in the early afternoon.,I spent 15 talking to Olivia on various topics in the early afternoon.\n4701,2011/05/23,\"I spent 39 talking to Nevaeh, Layla, Piper on various topics late in the evening.\",\"I spent 39 talking to Nevaeh, Layla, Piper on various topics late in the evening.\"\n4702,2011/05/23,\"I spent 36 talking to Claire, Lydia, Olivia on various topics late in the evening.\",\"I spent 36 talking to Claire, Lydia, Olivia on various topics late in the evening.\"\n4703,2011/05/23,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n4704,2011/05/23,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n4705,2011/05/24,I went for an annual dental cleaning and checkup on 2011/05/24 at the hospital.,I went for an annual dental cleaning and checkup on 2011/05/24 at the hospital.\n4706,2011/05/24,\"I bought some clementines, pears, nectarines, milk, coffee, soda, pineapple juice, shampoo from the grocery store. I saw Avery, Benjamin at the grocery store.\",\"I bought some clementines, pears, nectarines, milk, coffee, soda, pineapple juice, shampoo from the grocery store. I saw Avery, Benjamin at the grocery store.\"\n4707,2011/05/24,I did running on 2011/05/24.,I did running on 2011/05/24.\n4708,2011/05/24,\"I had breakfast with Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery. I ate eggs, sausages, and bread.\"\n4709,2011/05/24,I prepare indian food for lunch.,I prepare indian food for lunch.\n4710,2011/05/24,\"I had chinese food for dinner with Nevaeh, Olivia, Kinsley, Eva, Piper, Avery, Claire, Lydia, Hazel, Rylee\",\"I had chinese food for dinner with Nevaeh, Olivia, Kinsley, Eva, Piper, Avery, Claire, Lydia, Hazel, Rylee\"\n4711,2011/05/24,\"I spent 24 talking to Hazel, Piper on various topics in the early evening.\",\"I spent 24 talking to Hazel, Piper on various topics in the early evening.\"\n4712,2011/05/24,\"I talked to Kinsley, Avery for 11 minutes in the early afternoon.\",\"I talked to Kinsley, Avery for 11 minutes in the early afternoon.\"\n4713,2011/05/24,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n4714,2011/05/24,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n4715,2011/05/25,I did running on 2011/05/25.,I did running on 2011/05/25.\n4716,2011/05/25,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n4717,2011/05/25,I ate sushi for lunch.,I ate sushi for lunch.\n4718,2011/05/25,I prepare indian food for dinner.,I prepare indian food for dinner.\n4719,2011/05/25,\"I talked to Claire, Lydia, Rylee, Hazel for 21 minutes in the morning.\",\"I talked to Claire, Lydia, Rylee, Hazel for 21 minutes in the morning.\"\n4720,2011/05/25,I talked to Piper for 45 minutes in the early evening.,I talked to Piper for 45 minutes in the early evening.\n4721,2011/05/25,\"I talked to Eva, Rylee for 37 minutes during lunch hours.\",\"I talked to Eva, Rylee for 37 minutes during lunch hours.\"\n4722,2011/05/25,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n4723,2011/05/25,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n4724,2011/05/26,I took my parents for their for an annual dental cleaning and checkup on 2011/05/26 at the university hospital.,I took my parents for their for an annual dental cleaning and checkup on 2011/05/26 at the university hospital.\n4725,2011/05/26,\"On 2011/05/26, I took Ivy on a date to a boba shop\",\"On 2011/05/26, I took Ivy on a date to a boba shop\"\n4726,2011/05/26,I did HIIT on 2011/05/26.,I did HIIT on 2011/05/26.\n4727,2011/05/26,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n4728,2011/05/26,\"I had lunch with Eva, Piper, Hazel, Avery, Olivia, Rylee, Piper. I ate indian food.\",\"I had lunch with Eva, Piper, Hazel, Avery, Olivia, Rylee, Piper. I ate indian food.\"\n4729,2011/05/26,\"I had indian food for dinner with Willow, Benjamin, Avery\",\"I had indian food for dinner with Willow, Benjamin, Avery\"\n4730,2011/05/26,I spent 23 talking to Lydia on various topics in the late afternoon.,I spent 23 talking to Lydia on various topics in the late afternoon.\n4731,2011/05/26,\"I talked to Nora, Kinsley, Claire for 17 minutes in the late afternoon.\",\"I talked to Nora, Kinsley, Claire for 17 minutes in the late afternoon.\"\n4732,2011/05/26,\"I spent 45 talking to Lydia, Layla, Piper, Claire on various topics during lunch hours.\",\"I spent 45 talking to Lydia, Layla, Piper, Claire on various topics during lunch hours.\"\n4733,2011/05/26,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n4734,2011/05/26,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n4735,2011/05/27,I did hiking on 2011/05/27.,I did hiking on 2011/05/27.\n4736,2011/05/27,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n4737,2011/05/27,\"I had lunch with Piper, Rylee, Nora, Piper. I ate indian food.\",\"I had lunch with Piper, Rylee, Nora, Piper. I ate indian food.\"\n4738,2011/05/27,\"I had a burger for dinner with Emily, Carter\",\"I had a burger for dinner with Emily, Carter\"\n4739,2011/05/27,\"I spent 48 talking to Nora, Kinsley, Piper, Olivia on various topics late in the evening.\",\"I spent 48 talking to Nora, Kinsley, Piper, Olivia on various topics late in the evening.\"\n4740,2011/05/27,I talked to Lydia for 14 minutes in the early afternoon.,I talked to Lydia for 14 minutes in the early afternoon.\n4741,2011/05/27,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n4742,2011/05/27,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n4743,2011/05/28,\"I went grocery shopping with Kayden, Emily, Andrew. I bought some peaches, oranges, watermelons, mineral water, milk, and paper towel, mouthwash, mouth wash\",\"I went grocery shopping with Kayden, Emily, Andrew. I bought some peaches, oranges, watermelons, mineral water, milk, and paper towel, mouthwash, mouth wash\"\n4744,2011/05/28,I did swimming on 2011/05/28.,I did swimming on 2011/05/28.\n4745,2011/05/28,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n4746,2011/05/28,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n4747,2011/05/28,I prepare steak for dinner.,I prepare steak for dinner.\n4748,2011/05/28,\"I spent 12 talking to Rylee, Nora, Hazel on various topics in the early afternoon.\",\"I spent 12 talking to Rylee, Nora, Hazel on various topics in the early afternoon.\"\n4749,2011/05/28,I spent 9 talking to Nora on various topics late in the evening.,I spent 9 talking to Nora on various topics late in the evening.\n4750,2011/05/28,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n4751,2011/05/28,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n4752,2011/05/29,I did hiking on 2011/05/29.,I did hiking on 2011/05/29.\n4753,2011/05/29,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n4754,2011/05/29,I ate pasta for lunch.,I ate pasta for lunch.\n4755,2011/05/29,\"I had indian food for dinner with Benjamin, Jackson\",\"I had indian food for dinner with Benjamin, Jackson\"\n4756,2011/05/29,I talked to Kinsley for 7 minutes in the morning.,I talked to Kinsley for 7 minutes in the morning.\n4757,2011/05/29,\"I spent 25 talking to Eva, Rylee, Claire, Avery on various topics in the early evening.\",\"I spent 25 talking to Eva, Rylee, Claire, Avery on various topics in the early evening.\"\n4758,2011/05/29,I spent 48 talking to Eva on various topics in the morning.,I spent 48 talking to Eva on various topics in the morning.\n4759,2011/05/29,I spent 11 talking to Nevaeh on various topics late in the evening.,I spent 11 talking to Nevaeh on various topics late in the evening.\n4760,2011/05/29,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n4761,2011/05/29,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n4762,2011/05/30,I did running on 2011/05/30.,I did running on 2011/05/30.\n4763,2011/05/30,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n4764,2011/05/30,\"I had lunch with Olivia, Eva, Nevaeh, Kinsley. I ate steak.\",\"I had lunch with Olivia, Eva, Nevaeh, Kinsley. I ate steak.\"\n4765,2011/05/30,\"I had dinner with Carter, Emily, Kayden, Andrew. I ate sandwich.\",\"I had dinner with Carter, Emily, Kayden, Andrew. I ate sandwich.\"\n4766,2011/05/30,I talked to Kinsley for 21 minutes in the early evening.,I talked to Kinsley for 21 minutes in the early evening.\n4767,2011/05/30,\"I talked to Nora, Claire, Lydia for 44 minutes late in the evening.\",\"I talked to Nora, Claire, Lydia for 44 minutes late in the evening.\"\n4768,2011/05/30,I talked to Eva for 25 minutes in the morning.,I talked to Eva for 25 minutes in the morning.\n4769,2011/05/30,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n4770,2011/05/30,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n4771,2011/05/31,\"On 2011/05/31, I took Levi on a date to a coffee Shop\",\"On 2011/05/31, I took Levi on a date to a coffee Shop\"\n4772,2011/05/31,I did running on 2011/05/31.,I did running on 2011/05/31.\n4773,2011/05/31,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n4774,2011/05/31,I had chinese food for lunch with Andrew,I had chinese food for lunch with Andrew\n4775,2011/05/31,I had dinner. I ate steak.,I had dinner. I ate steak.\n4776,2011/05/31,\"I spent 23 talking to Olivia, Nevaeh, Piper on various topics late in the evening.\",\"I spent 23 talking to Olivia, Nevaeh, Piper on various topics late in the evening.\"\n4777,2011/05/31,\"I talked to Hazel, Olivia, Avery for 50 minutes late in the evening.\",\"I talked to Hazel, Olivia, Avery for 50 minutes late in the evening.\"\n4778,2011/05/31,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n4779,2011/05/31,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n4780,2011/06/01,\"I bought some oranges, coffee, soda, tea, toothpaste, mouthwash from the grocery store. I saw Layla, Kinsley, Eva, Nevaeh, Hazel, Claire, Piper, Nora, Rylee, Olivia at the grocery store.\",\"I bought some oranges, coffee, soda, tea, toothpaste, mouthwash from the grocery store. I saw Layla, Kinsley, Eva, Nevaeh, Hazel, Claire, Piper, Nora, Rylee, Olivia at the grocery store.\"\n4781,2011/06/01,I did HIIT on 2011/06/01.,I did HIIT on 2011/06/01.\n4782,2011/06/01,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n4783,2011/06/01,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n4784,2011/06/01,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n4785,2011/06/01,\"I talked to Eva, Hazel for 34 minutes in the morning.\",\"I talked to Eva, Hazel for 34 minutes in the morning.\"\n4786,2011/06/01,\"I talked to Claire, Piper for 39 minutes late in the evening.\",\"I talked to Claire, Piper for 39 minutes late in the evening.\"\n4787,2011/06/01,\"I talked to Rylee, Lydia, Nevaeh, Eva for 19 minutes in the morning.\",\"I talked to Rylee, Lydia, Nevaeh, Eva for 19 minutes in the morning.\"\n4788,2011/06/01,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n4789,2011/06/01,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n4790,2011/06/02,I did swimming on 2011/06/02.,I did swimming on 2011/06/02.\n4791,2011/06/02,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n4792,2011/06/02,I ate sushi for lunch.,I ate sushi for lunch.\n4793,2011/06/02,I ate tacos for dinner.,I ate tacos for dinner.\n4794,2011/06/02,\"I spent 48 talking to Piper, Avery on various topics late in the evening.\",\"I spent 48 talking to Piper, Avery on various topics late in the evening.\"\n4795,2011/06/02,\"I spent 26 talking to Rylee, Kinsley on various topics in the late afternoon.\",\"I spent 26 talking to Rylee, Kinsley on various topics in the late afternoon.\"\n4796,2011/06/02,\"I spent 10 talking to Eva, Piper, Nora on various topics during lunch hours.\",\"I spent 10 talking to Eva, Piper, Nora on various topics during lunch hours.\"\n4797,2011/06/02,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n4798,2011/06/02,I watched a documentary for 29 minutes on TV today.,I watched a documentary for 29 minutes on TV today.\n4799,2011/06/03,I did biking on 2011/06/03.,I did biking on 2011/06/03.\n4800,2011/06/03,\"I had pancakes for breakfast with Emily, Andrew\",\"I had pancakes for breakfast with Emily, Andrew\"\n4801,2011/06/03,I ate a burger for lunch.,I ate a burger for lunch.\n4802,2011/06/03,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n4803,2011/06/03,\"I spent 12 talking to Nevaeh, Olivia, Layla, Rylee on various topics in the early evening.\",\"I spent 12 talking to Nevaeh, Olivia, Layla, Rylee on various topics in the early evening.\"\n4804,2011/06/03,\"I talked to Olivia, Avery, Piper, Nora for 30 minutes in the early evening.\",\"I talked to Olivia, Avery, Piper, Nora for 30 minutes in the early evening.\"\n4805,2011/06/03,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n4806,2011/06/03,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n4807,2011/06/04,I did weight lifting on 2011/06/04.,I did weight lifting on 2011/06/04.\n4808,2011/06/04,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n4809,2011/06/04,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n4810,2011/06/04,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n4811,2011/06/04,\"I spent 14 talking to Claire, Piper, Olivia, Kinsley on various topics in the early evening.\",\"I spent 14 talking to Claire, Piper, Olivia, Kinsley on various topics in the early evening.\"\n4812,2011/06/04,\"I talked to Piper, Nevaeh for 42 minutes in the early afternoon.\",\"I talked to Piper, Nevaeh for 42 minutes in the early afternoon.\"\n4813,2011/06/04,\"I talked to Piper, Claire for 44 minutes during lunch hours.\",\"I talked to Piper, Claire for 44 minutes during lunch hours.\"\n4814,2011/06/04,\"I talked to Avery, Piper, Nora for 13 minutes in the morning.\",\"I talked to Avery, Piper, Nora for 13 minutes in the morning.\"\n4815,2011/06/04,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n4816,2011/06/04,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n4817,2011/06/05,I spent some time yoga on 2011/06/05.,I spent some time yoga on 2011/06/05.\n4818,2011/06/05,I did running on 2011/06/05.,I did running on 2011/06/05.\n4819,2011/06/05,I had breakfast with Benjamin. I ate oatmeal.,I had breakfast with Benjamin. I ate oatmeal.\n4820,2011/06/05,I prepare steak for lunch.,I prepare steak for lunch.\n4821,2011/06/05,\"I had a burger for dinner with Emily, Andrew\",\"I had a burger for dinner with Emily, Andrew\"\n4822,2011/06/05,\"I spent 52 talking to Piper, Lydia, Nevaeh, Hazel on various topics in the late afternoon.\",\"I spent 52 talking to Piper, Lydia, Nevaeh, Hazel on various topics in the late afternoon.\"\n4823,2011/06/05,\"I talked to Nevaeh, Nora for 45 minutes during lunch hours.\",\"I talked to Nevaeh, Nora for 45 minutes during lunch hours.\"\n4824,2011/06/05,I talked to Claire for 16 minutes in the late afternoon.,I talked to Claire for 16 minutes in the late afternoon.\n4825,2011/06/05,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n4826,2011/06/05,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n4827,2011/06/06,\"I went grocery shopping. I bought some blueberries, blackberries, clementines, chocolate milk, guava juice, sports drinks, mango juice, and paper towel\",\"I went grocery shopping. I bought some blueberries, blackberries, clementines, chocolate milk, guava juice, sports drinks, mango juice, and paper towel\"\n4828,2011/06/06,\"I had breakfast with Kinsley, Piper, Lydia, Claire, Layla, Avery. I ate oatmeal.\",\"I had breakfast with Kinsley, Piper, Lydia, Claire, Layla, Avery. I ate oatmeal.\"\n4829,2011/06/06,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n4830,2011/06/06,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n4831,2011/06/06,\"I talked to Nora, Avery, Piper for 19 minutes in the late afternoon.\",\"I talked to Nora, Avery, Piper for 19 minutes in the late afternoon.\"\n4832,2011/06/06,\"I talked to Nora, Lydia for 25 minutes in the early afternoon.\",\"I talked to Nora, Lydia for 25 minutes in the early afternoon.\"\n4833,2011/06/06,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n4834,2011/06/06,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n4835,2011/06/07,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n4836,2011/06/07,I ate chinese food for lunch.,I ate chinese food for lunch.\n4837,2011/06/07,I prepare steak for dinner.,I prepare steak for dinner.\n4838,2011/06/07,\"I spent 54 talking to Rylee, Kinsley, Eva on various topics in the morning.\",\"I spent 54 talking to Rylee, Kinsley, Eva on various topics in the morning.\"\n4839,2011/06/07,\"I spent 25 talking to Piper, Avery on various topics during lunch hours.\",\"I spent 25 talking to Piper, Avery on various topics during lunch hours.\"\n4840,2011/06/07,I talked to Avery for 28 minutes in the early afternoon.,I talked to Avery for 28 minutes in the early afternoon.\n4841,2011/06/07,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n4842,2011/06/07,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n4843,2011/06/08,I did hiking on 2011/06/08.,I did hiking on 2011/06/08.\n4844,2011/06/08,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n4845,2011/06/08,I ate sushi for lunch.,I ate sushi for lunch.\n4846,2011/06/08,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n4847,2011/06/08,\"I talked to Claire, Nora, Lydia for 53 minutes late in the evening.\",\"I talked to Claire, Nora, Lydia for 53 minutes late in the evening.\"\n4848,2011/06/08,\"I talked to Piper, Lydia, Nevaeh, Layla for 29 minutes late in the evening.\",\"I talked to Piper, Lydia, Nevaeh, Layla for 29 minutes late in the evening.\"\n4849,2011/06/08,\"I talked to Kinsley, Avery, Olivia, Hazel for 8 minutes during lunch hours.\",\"I talked to Kinsley, Avery, Olivia, Hazel for 8 minutes during lunch hours.\"\n4850,2011/06/08,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n4851,2011/06/08,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n4852,2011/06/09,\"I went grocery shopping with Kayden, Andrew, Carter. I bought some nectarines, tea, milk, chocolate milk, sports drinks, and mouthwash, mouth wash\",\"I went grocery shopping with Kayden, Andrew, Carter. I bought some nectarines, tea, milk, chocolate milk, sports drinks, and mouthwash, mouth wash\"\n4853,2011/06/09,I did swimming on 2011/06/09.,I did swimming on 2011/06/09.\n4854,2011/06/09,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n4855,2011/06/09,I ate tacos for lunch.,I ate tacos for lunch.\n4856,2011/06/09,I ate tacos for dinner.,I ate tacos for dinner.\n4857,2011/06/09,\"I spent 13 talking to Hazel, Piper on various topics in the early afternoon.\",\"I spent 13 talking to Hazel, Piper on various topics in the early afternoon.\"\n4858,2011/06/09,I spent 15 talking to Piper on various topics in the late afternoon.,I spent 15 talking to Piper on various topics in the late afternoon.\n4859,2011/06/09,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n4860,2011/06/09,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n4861,2011/06/10,I did hiking on 2011/06/10.,I did hiking on 2011/06/10.\n4862,2011/06/10,\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate cereals.\",\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate cereals.\"\n4863,2011/06/10,I ate sushi for lunch.,I ate sushi for lunch.\n4864,2011/06/10,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n4865,2011/06/10,\"I spent 9 talking to Layla, Eva, Avery, Kinsley on various topics in the morning.\",\"I spent 9 talking to Layla, Eva, Avery, Kinsley on various topics in the morning.\"\n4866,2011/06/10,I spent 43 talking to Eva on various topics in the early evening.,I spent 43 talking to Eva on various topics in the early evening.\n4867,2011/06/10,\"I spent 30 talking to Layla, Rylee, Eva on various topics in the late afternoon.\",\"I spent 30 talking to Layla, Rylee, Eva on various topics in the late afternoon.\"\n4868,2011/06/10,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n4869,2011/06/10,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n4870,2011/06/11,\"I bought some bananas, pineapples, blackberries, blueberries, mango juice, facial wash online.\",\"I bought some bananas, pineapples, blackberries, blueberries, mango juice, facial wash online.\"\n4871,2011/06/11,I did HIIT on 2011/06/11.,I did HIIT on 2011/06/11.\n4872,2011/06/11,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n4873,2011/06/11,I ate steak for lunch.,I ate steak for lunch.\n4874,2011/06/11,I ate tacos for dinner.,I ate tacos for dinner.\n4875,2011/06/11,\"I talked to Rylee, Olivia, Piper, Avery for 27 minutes in the early afternoon.\",\"I talked to Rylee, Olivia, Piper, Avery for 27 minutes in the early afternoon.\"\n4876,2011/06/11,\"I spent 50 talking to Avery, Layla, Eva on various topics late in the evening.\",\"I spent 50 talking to Avery, Layla, Eva on various topics late in the evening.\"\n4877,2011/06/11,\"I spent 31 talking to Nevaeh, Piper, Lydia, Claire on various topics in the morning.\",\"I spent 31 talking to Nevaeh, Piper, Lydia, Claire on various topics in the morning.\"\n4878,2011/06/11,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n4879,2011/06/11,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n4880,2011/06/12,I really enjoyed working out on 2011/06/12,I really enjoyed working out on 2011/06/12\n4881,2011/06/12,I did HIIT on 2011/06/12.,I did HIIT on 2011/06/12.\n4882,2011/06/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n4883,2011/06/12,I ate sushi for lunch.,I ate sushi for lunch.\n4884,2011/06/12,\"I had dinner with Avery, Willow, Jackson, Benjamin. I ate tacos.\",\"I had dinner with Avery, Willow, Jackson, Benjamin. I ate tacos.\"\n4885,2011/06/12,\"I talked to Olivia, Rylee, Nora, Hazel for 36 minutes in the morning.\",\"I talked to Olivia, Rylee, Nora, Hazel for 36 minutes in the morning.\"\n4886,2011/06/12,I spent 9 talking to Eva on various topics in the late afternoon.,I spent 9 talking to Eva on various topics in the late afternoon.\n4887,2011/06/12,I talked to Avery for 11 minutes late in the evening.,I talked to Avery for 11 minutes late in the evening.\n4888,2011/06/12,\"I talked to Avery, Claire, Piper, Nora for 45 minutes in the early evening.\",\"I talked to Avery, Claire, Piper, Nora for 45 minutes in the early evening.\"\n4889,2011/06/12,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n4890,2011/06/12,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n4891,2011/06/13,I did biking on 2011/06/13.,I did biking on 2011/06/13.\n4892,2011/06/13,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n4893,2011/06/13,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n4894,2011/06/13,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n4895,2011/06/13,\"I spent 29 talking to Layla, Piper on various topics late in the evening.\",\"I spent 29 talking to Layla, Piper on various topics late in the evening.\"\n4896,2011/06/13,\"I talked to Lydia, Avery, Rylee, Hazel for 43 minutes late in the evening.\",\"I talked to Lydia, Avery, Rylee, Hazel for 43 minutes late in the evening.\"\n4897,2011/06/13,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n4898,2011/06/13,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n4899,2011/06/14,\"I spent time gardening on 2011/06/14 with Emily, Carter, Kayden.\",\"I spent time gardening on 2011/06/14 with Emily, Carter, Kayden.\"\n4900,2011/06/14,I did HIIT on 2011/06/14.,I did HIIT on 2011/06/14.\n4901,2011/06/14,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n4902,2011/06/14,I prepare indian food for lunch.,I prepare indian food for lunch.\n4903,2011/06/14,I had dinner with Avery. I ate sushi.,I had dinner with Avery. I ate sushi.\n4904,2011/06/14,\"I spent 50 talking to Nevaeh, Piper, Olivia on various topics late in the evening.\",\"I spent 50 talking to Nevaeh, Piper, Olivia on various topics late in the evening.\"\n4905,2011/06/14,\"I talked to Eva, Nora for 40 minutes during lunch hours.\",\"I talked to Eva, Nora for 40 minutes during lunch hours.\"\n4906,2011/06/14,\"I spent 55 talking to Claire, Layla, Lydia, Rylee on various topics during lunch hours.\",\"I spent 55 talking to Claire, Layla, Lydia, Rylee on various topics during lunch hours.\"\n4907,2011/06/14,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n4908,2011/06/14,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n4909,2011/06/15,\"I bought some bananas, apricots, pineapples, mangos, tea, toilet paper from the grocery store. I saw Andrew, Emily, Carter at the grocery store.\",\"I bought some bananas, apricots, pineapples, mangos, tea, toilet paper from the grocery store. I saw Andrew, Emily, Carter at the grocery store.\"\n4910,2011/06/15,I did swimming on 2011/06/15.,I did swimming on 2011/06/15.\n4911,2011/06/15,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n4912,2011/06/15,I prepare tacos for lunch.,I prepare tacos for lunch.\n4913,2011/06/15,\"I had dinner with Piper, Piper, Nora, Nevaeh, Kinsley, Claire, Layla, Eva, Rylee, Avery, Olivia, Lydia, Hazel. I ate steak.\",\"I had dinner with Piper, Piper, Nora, Nevaeh, Kinsley, Claire, Layla, Eva, Rylee, Avery, Olivia, Lydia, Hazel. I ate steak.\"\n4914,2011/06/15,\"I talked to Rylee, Eva, Olivia, Claire for 47 minutes in the morning.\",\"I talked to Rylee, Eva, Olivia, Claire for 47 minutes in the morning.\"\n4915,2011/06/15,I spent 17 talking to Lydia on various topics in the early afternoon.,I spent 17 talking to Lydia on various topics in the early afternoon.\n4916,2011/06/15,\"I talked to Rylee, Olivia, Hazel, Claire for 55 minutes late in the evening.\",\"I talked to Rylee, Olivia, Hazel, Claire for 55 minutes late in the evening.\"\n4917,2011/06/15,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n4918,2011/06/15,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n4919,2011/06/16,\"On 2011/06/16, I took Natalie on a date to a coffee Shop\",\"On 2011/06/16, I took Natalie on a date to a coffee Shop\"\n4920,2011/06/16,I did running on 2011/06/16.,I did running on 2011/06/16.\n4921,2011/06/16,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n4922,2011/06/16,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n4923,2011/06/16,I prepare sushi for dinner.,I prepare sushi for dinner.\n4924,2011/06/16,I talked to Piper for 33 minutes late in the evening.,I talked to Piper for 33 minutes late in the evening.\n4925,2011/06/16,\"I talked to Nora, Piper, Hazel for 21 minutes in the late afternoon.\",\"I talked to Nora, Piper, Hazel for 21 minutes in the late afternoon.\"\n4926,2011/06/16,\"I talked to Olivia, Piper, Avery for 25 minutes in the morning.\",\"I talked to Olivia, Piper, Avery for 25 minutes in the morning.\"\n4927,2011/06/16,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n4928,2011/06/16,I spent 41 minutes watching a movie on TV today.,I spent 41 minutes watching a movie on TV today.\n4929,2011/06/17,I did weight lifting on 2011/06/17.,I did weight lifting on 2011/06/17.\n4930,2011/06/17,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n4931,2011/06/17,\"I had lunch with Emily, Kayden, Carter, Andrew. I ate indian food.\",\"I had lunch with Emily, Kayden, Carter, Andrew. I ate indian food.\"\n4932,2011/06/17,\"I had tacos for dinner with Carter, Kayden\",\"I had tacos for dinner with Carter, Kayden\"\n4933,2011/06/17,\"I talked to Nevaeh, Nora, Lydia, Avery for 26 minutes in the early afternoon.\",\"I talked to Nevaeh, Nora, Lydia, Avery for 26 minutes in the early afternoon.\"\n4934,2011/06/17,I talked to Kinsley for 10 minutes in the early evening.,I talked to Kinsley for 10 minutes in the early evening.\n4935,2011/06/17,I spent 33 talking to Nora on various topics in the early afternoon.,I spent 33 talking to Nora on various topics in the early afternoon.\n4936,2011/06/17,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n4937,2011/06/17,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n4938,2011/06/18,I did weight lifting on 2011/06/18.,I did weight lifting on 2011/06/18.\n4939,2011/06/18,\"I had oatmeal for breakfast with Layla, Piper, Olivia, Rylee, Hazel, Lydia, Claire\",\"I had oatmeal for breakfast with Layla, Piper, Olivia, Rylee, Hazel, Lydia, Claire\"\n4940,2011/06/18,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n4941,2011/06/18,\"I had dinner with Lydia, Nevaeh, Avery, Piper, Rylee, Hazel. I ate chinese food.\",\"I had dinner with Lydia, Nevaeh, Avery, Piper, Rylee, Hazel. I ate chinese food.\"\n4942,2011/06/18,\"I spent 24 talking to Eva, Olivia, Lydia on various topics during lunch hours.\",\"I spent 24 talking to Eva, Olivia, Lydia on various topics during lunch hours.\"\n4943,2011/06/18,\"I spent 40 talking to Claire, Nevaeh, Piper on various topics in the late afternoon.\",\"I spent 40 talking to Claire, Nevaeh, Piper on various topics in the late afternoon.\"\n4944,2011/06/18,\"I talked to Piper, Layla for 8 minutes in the late afternoon.\",\"I talked to Piper, Layla for 8 minutes in the late afternoon.\"\n4945,2011/06/18,\"I spent 16 talking to Kinsley, Avery, Piper, Eva on various topics late in the evening.\",\"I spent 16 talking to Kinsley, Avery, Piper, Eva on various topics late in the evening.\"\n4946,2011/06/18,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n4947,2011/06/18,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n4948,2011/06/19,\"On 2011/06/19, I took Anthony on a date to a restaurant\",\"On 2011/06/19, I took Anthony on a date to a restaurant\"\n4949,2011/06/19,I did running on 2011/06/19.,I did running on 2011/06/19.\n4950,2011/06/19,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n4951,2011/06/19,\"I had tacos for lunch with Avery, Willow\",\"I had tacos for lunch with Avery, Willow\"\n4952,2011/06/19,\"I had dinner with Emily, Carter, Kayden, Andrew. I ate chinese food.\",\"I had dinner with Emily, Carter, Kayden, Andrew. I ate chinese food.\"\n4953,2011/06/19,\"I spent 25 talking to Eva, Kinsley, Nora, Avery on various topics in the morning.\",\"I spent 25 talking to Eva, Kinsley, Nora, Avery on various topics in the morning.\"\n4954,2011/06/19,\"I spent 23 talking to Nevaeh, Kinsley, Piper on various topics during lunch hours.\",\"I spent 23 talking to Nevaeh, Kinsley, Piper on various topics during lunch hours.\"\n4955,2011/06/19,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n4956,2011/06/19,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n4957,2011/06/20,\"I bought some clementines, mangos, cherres, mineral water, guava juice, shaving cream, mouth wash online.\",\"I bought some clementines, mangos, cherres, mineral water, guava juice, shaving cream, mouth wash online.\"\n4958,2011/06/20,I did hiking on 2011/06/20.,I did hiking on 2011/06/20.\n4959,2011/06/20,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n4960,2011/06/20,\"I had lunch with Kayden, Carter, Emily, Andrew. I ate tacos.\",\"I had lunch with Kayden, Carter, Emily, Andrew. I ate tacos.\"\n4961,2011/06/20,\"I had dinner with Avery, Nevaeh, Eva, Rylee, Kinsley, Olivia, Nora. I ate sushi.\",\"I had dinner with Avery, Nevaeh, Eva, Rylee, Kinsley, Olivia, Nora. I ate sushi.\"\n4962,2011/06/20,I talked to Piper for 31 minutes during lunch hours.,I talked to Piper for 31 minutes during lunch hours.\n4963,2011/06/20,\"I talked to Claire, Lydia for 7 minutes in the early afternoon.\",\"I talked to Claire, Lydia for 7 minutes in the early afternoon.\"\n4964,2011/06/20,\"I talked to Claire, Hazel, Nora for 35 minutes late in the evening.\",\"I talked to Claire, Hazel, Nora for 35 minutes late in the evening.\"\n4965,2011/06/20,\"I talked to Piper, Layla, Rylee, Piper for 40 minutes in the morning.\",\"I talked to Piper, Layla, Rylee, Piper for 40 minutes in the morning.\"\n4966,2011/06/20,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n4967,2011/06/20,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n4968,2011/06/21,I did HIIT on 2011/06/21.,I did HIIT on 2011/06/21.\n4969,2011/06/21,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n4970,2011/06/21,I ate a burger for lunch.,I ate a burger for lunch.\n4971,2011/06/21,\"I had chinese food for dinner with Jackson, Willow, Avery, Benjamin\",\"I had chinese food for dinner with Jackson, Willow, Avery, Benjamin\"\n4972,2011/06/21,I talked to Piper for 42 minutes during lunch hours.,I talked to Piper for 42 minutes during lunch hours.\n4973,2011/06/21,\"I spent 31 talking to Olivia, Lydia, Layla on various topics late in the evening.\",\"I spent 31 talking to Olivia, Lydia, Layla on various topics late in the evening.\"\n4974,2011/06/21,\"I spent 10 talking to Nora, Hazel on various topics late in the evening.\",\"I spent 10 talking to Nora, Hazel on various topics late in the evening.\"\n4975,2011/06/21,\"I spent 51 talking to Lydia, Avery on various topics in the early evening.\",\"I spent 51 talking to Lydia, Avery on various topics in the early evening.\"\n4976,2011/06/21,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n4977,2011/06/21,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n4978,2011/06/22,\"On 2011/06/22, I took Noah on a date to a boba shop\",\"On 2011/06/22, I took Noah on a date to a boba shop\"\n4979,2011/06/22,I did HIIT on 2011/06/22.,I did HIIT on 2011/06/22.\n4980,2011/06/22,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n4981,2011/06/22,I prepare pasta for lunch.,I prepare pasta for lunch.\n4982,2011/06/22,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n4983,2011/06/22,\"I spent 11 talking to Piper, Layla, Rylee, Kinsley on various topics in the late afternoon.\",\"I spent 11 talking to Piper, Layla, Rylee, Kinsley on various topics in the late afternoon.\"\n4984,2011/06/22,\"I talked to Claire, Hazel, Piper for 28 minutes during lunch hours.\",\"I talked to Claire, Hazel, Piper for 28 minutes during lunch hours.\"\n4985,2011/06/22,I talked to Nora for 13 minutes in the early evening.,I talked to Nora for 13 minutes in the early evening.\n4986,2011/06/22,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n4987,2011/06/22,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n4988,2011/06/23,I did biking on 2011/06/23.,I did biking on 2011/06/23.\n4989,2011/06/23,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n4990,2011/06/23,\"I had a burger for lunch with Eva, Hazel\",\"I had a burger for lunch with Eva, Hazel\"\n4991,2011/06/23,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n4992,2011/06/23,I talked to Rylee for 8 minutes during lunch hours.,I talked to Rylee for 8 minutes during lunch hours.\n4993,2011/06/23,I spent 26 talking to Nora on various topics in the late afternoon.,I spent 26 talking to Nora on various topics in the late afternoon.\n4994,2011/06/23,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n4995,2011/06/23,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n4996,2011/06/24,\"I went grocery shopping. I bought some bananas, mango juice, orange juice, apple juice, milk, and body lotion, shaving cream, facial wash\",\"I went grocery shopping. I bought some bananas, mango juice, orange juice, apple juice, milk, and body lotion, shaving cream, facial wash\"\n4997,2011/06/24,I did biking on 2011/06/24.,I did biking on 2011/06/24.\n4998,2011/06/24,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n4999,2011/06/24,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n5000,2011/06/24,I prepare a burger for dinner.,I prepare a burger for dinner.\n5001,2011/06/24,\"I spent 20 talking to Claire, Piper, Olivia, Kinsley on various topics late in the evening.\",\"I spent 20 talking to Claire, Piper, Olivia, Kinsley on various topics late in the evening.\"\n5002,2011/06/24,I spent 33 talking to Piper on various topics late in the evening.,I spent 33 talking to Piper on various topics late in the evening.\n5003,2011/06/24,I talked to Lydia for 48 minutes in the early afternoon.,I talked to Lydia for 48 minutes in the early afternoon.\n5004,2011/06/24,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n5005,2011/06/24,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n5006,2011/06/25,\"I bought some clementines, strawberries, pears, orange juice, toothbrush online.\",\"I bought some clementines, strawberries, pears, orange juice, toothbrush online.\"\n5007,2011/06/25,I did swimming on 2011/06/25.,I did swimming on 2011/06/25.\n5008,2011/06/25,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n5009,2011/06/25,I prepare steak for lunch.,I prepare steak for lunch.\n5010,2011/06/25,\"I had sandwich for dinner with Emily, Carter, Andrew\",\"I had sandwich for dinner with Emily, Carter, Andrew\"\n5011,2011/06/25,I spent 46 talking to Rylee on various topics in the early evening.,I spent 46 talking to Rylee on various topics in the early evening.\n5012,2011/06/25,\"I talked to Rylee, Olivia for 20 minutes in the late afternoon.\",\"I talked to Rylee, Olivia for 20 minutes in the late afternoon.\"\n5013,2011/06/25,\"I spent 8 talking to Claire, Avery, Eva, Hazel on various topics late in the evening.\",\"I spent 8 talking to Claire, Avery, Eva, Hazel on various topics late in the evening.\"\n5014,2011/06/25,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n5015,2011/06/25,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n5016,2011/06/26,I really enjoyed yoga on 2011/06/26,I really enjoyed yoga on 2011/06/26\n5017,2011/06/26,I did hiking on 2011/06/26.,I did hiking on 2011/06/26.\n5018,2011/06/26,\"I had peanut-butter-jam for breakfast with Lydia, Nora\",\"I had peanut-butter-jam for breakfast with Lydia, Nora\"\n5019,2011/06/26,I had lunch. I ate steak.,I had lunch. I ate steak.\n5020,2011/06/26,\"I had steak for dinner with Rylee, Eva, Lydia, Kinsley, Layla, Piper, Hazel, Olivia, Avery, Nora, Nevaeh, Piper, Claire\",\"I had steak for dinner with Rylee, Eva, Lydia, Kinsley, Layla, Piper, Hazel, Olivia, Avery, Nora, Nevaeh, Piper, Claire\"\n5021,2011/06/26,\"I talked to Eva, Kinsley, Rylee, Lydia for 28 minutes late in the evening.\",\"I talked to Eva, Kinsley, Rylee, Lydia for 28 minutes late in the evening.\"\n5022,2011/06/26,\"I spent 49 talking to Piper, Avery, Lydia, Eva on various topics in the late afternoon.\",\"I spent 49 talking to Piper, Avery, Lydia, Eva on various topics in the late afternoon.\"\n5023,2011/06/26,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n5024,2011/06/26,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n5025,2011/06/27,I went on a date with Nolan on 2011/06/27 at a restaurant,I went on a date with Nolan on 2011/06/27 at a restaurant\n5026,2011/06/27,I did swimming on 2011/06/27.,I did swimming on 2011/06/27.\n5027,2011/06/27,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n5028,2011/06/27,I had fish and chips for lunch with Carter,I had fish and chips for lunch with Carter\n5029,2011/06/27,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n5030,2011/06/27,\"I talked to Kinsley, Avery, Piper, Layla for 46 minutes in the early evening.\",\"I talked to Kinsley, Avery, Piper, Layla for 46 minutes in the early evening.\"\n5031,2011/06/27,\"I spent 27 talking to Avery, Eva, Rylee on various topics in the early evening.\",\"I spent 27 talking to Avery, Eva, Rylee on various topics in the early evening.\"\n5032,2011/06/27,\"I talked to Eva, Piper, Nora for 47 minutes in the early evening.\",\"I talked to Eva, Piper, Nora for 47 minutes in the early evening.\"\n5033,2011/06/27,I spent 9 talking to Hazel on various topics in the early afternoon.,I spent 9 talking to Hazel on various topics in the early afternoon.\n5034,2011/06/27,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n5035,2011/06/27,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n5036,2011/06/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n5037,2011/06/28,\"I had indian food for lunch with Andrew, Kayden\",\"I had indian food for lunch with Andrew, Kayden\"\n5038,2011/06/28,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n5039,2011/06/28,\"I talked to Piper, Hazel for 11 minutes in the late afternoon.\",\"I talked to Piper, Hazel for 11 minutes in the late afternoon.\"\n5040,2011/06/28,\"I talked to Nevaeh, Nora, Lydia for 30 minutes in the early evening.\",\"I talked to Nevaeh, Nora, Lydia for 30 minutes in the early evening.\"\n5041,2011/06/28,\"I spent 23 talking to Claire, Piper, Layla, Nevaeh on various topics in the early afternoon.\",\"I spent 23 talking to Claire, Piper, Layla, Nevaeh on various topics in the early afternoon.\"\n5042,2011/06/28,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n5043,2011/06/28,I spent 29 minutes watching news on TV today.,I spent 29 minutes watching news on TV today.\n5044,2011/06/29,I went on a date with Jose on 2011/06/29 at a park,I went on a date with Jose on 2011/06/29 at a park\n5045,2011/06/29,I spent some time meditation on 2011/06/29.,I spent some time meditation on 2011/06/29.\n5046,2011/06/29,I did HIIT on 2011/06/29.,I did HIIT on 2011/06/29.\n5047,2011/06/29,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n5048,2011/06/29,I prepare pasta for lunch.,I prepare pasta for lunch.\n5049,2011/06/29,\"I had indian food for dinner with Kayden, Emily\",\"I had indian food for dinner with Kayden, Emily\"\n5050,2011/06/29,\"I talked to Lydia, Nevaeh, Avery for 53 minutes in the early evening.\",\"I talked to Lydia, Nevaeh, Avery for 53 minutes in the early evening.\"\n5051,2011/06/29,I talked to Eva for 28 minutes in the late afternoon.,I talked to Eva for 28 minutes in the late afternoon.\n5052,2011/06/29,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n5053,2011/06/29,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n5054,2011/06/30,\"I bought some blueberries, apples, blackberries, chocolate milk, guava juice, paper towel, facial wash online.\",\"I bought some blueberries, apples, blackberries, chocolate milk, guava juice, paper towel, facial wash online.\"\n5055,2011/06/30,I did running on 2011/06/30.,I did running on 2011/06/30.\n5056,2011/06/30,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5057,2011/06/30,I ate tacos for lunch.,I ate tacos for lunch.\n5058,2011/06/30,\"I had dinner with Avery, Layla. I ate sushi.\",\"I had dinner with Avery, Layla. I ate sushi.\"\n5059,2011/06/30,I talked to Piper for 16 minutes in the late afternoon.,I talked to Piper for 16 minutes in the late afternoon.\n5060,2011/06/30,\"I talked to Nora, Piper, Eva for 32 minutes late in the evening.\",\"I talked to Nora, Piper, Eva for 32 minutes late in the evening.\"\n5061,2011/06/30,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n5062,2011/06/30,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n5063,2011/07/01,I did hiking on 2011/07/01.,I did hiking on 2011/07/01.\n5064,2011/07/01,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5065,2011/07/01,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n5066,2011/07/01,I prepare indian food for dinner.,I prepare indian food for dinner.\n5067,2011/07/01,I spent 50 talking to Layla on various topics during lunch hours.,I spent 50 talking to Layla on various topics during lunch hours.\n5068,2011/07/01,\"I spent 46 talking to Rylee, Claire, Hazel, Piper on various topics in the morning.\",\"I spent 46 talking to Rylee, Claire, Hazel, Piper on various topics in the morning.\"\n5069,2011/07/01,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n5070,2011/07/01,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n5071,2011/07/02,I did weight lifting on 2011/07/02.,I did weight lifting on 2011/07/02.\n5072,2011/07/02,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n5073,2011/07/02,\"I had pasta for lunch with Kayden, Carter\",\"I had pasta for lunch with Kayden, Carter\"\n5074,2011/07/02,I prepare a burger for dinner.,I prepare a burger for dinner.\n5075,2011/07/02,\"I spent 29 talking to Layla, Nora on various topics during lunch hours.\",\"I spent 29 talking to Layla, Nora on various topics during lunch hours.\"\n5076,2011/07/02,\"I talked to Lydia, Rylee, Eva for 14 minutes in the late afternoon.\",\"I talked to Lydia, Rylee, Eva for 14 minutes in the late afternoon.\"\n5077,2011/07/02,\"I talked to Layla, Nevaeh for 22 minutes during lunch hours.\",\"I talked to Layla, Nevaeh for 22 minutes during lunch hours.\"\n5078,2011/07/02,\"I talked to Eva, Avery for 30 minutes late in the evening.\",\"I talked to Eva, Avery for 30 minutes late in the evening.\"\n5079,2011/07/02,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n5080,2011/07/02,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n5081,2011/07/03,I did HIIT on 2011/07/03.,I did HIIT on 2011/07/03.\n5082,2011/07/03,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n5083,2011/07/03,I ate tacos for lunch.,I ate tacos for lunch.\n5084,2011/07/03,\"I had fish and chips for dinner with Hazel, Avery, Lydia\",\"I had fish and chips for dinner with Hazel, Avery, Lydia\"\n5085,2011/07/03,\"I spent 55 talking to Kinsley, Claire, Lydia, Piper on various topics in the early evening.\",\"I spent 55 talking to Kinsley, Claire, Lydia, Piper on various topics in the early evening.\"\n5086,2011/07/03,I talked to Eva for 12 minutes during lunch hours.,I talked to Eva for 12 minutes during lunch hours.\n5087,2011/07/03,\"I talked to Avery, Nevaeh, Nora for 11 minutes in the early evening.\",\"I talked to Avery, Nevaeh, Nora for 11 minutes in the early evening.\"\n5088,2011/07/03,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n5089,2011/07/03,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n5090,2011/07/04,\"I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some nectarines, blackberries, apples, milk, coffee, soda, and paper towel, body lotion, conditioner\",\"I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some nectarines, blackberries, apples, milk, coffee, soda, and paper towel, body lotion, conditioner\"\n5091,2011/07/04,I did running on 2011/07/04.,I did running on 2011/07/04.\n5092,2011/07/04,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n5093,2011/07/04,I prepare a burger for lunch.,I prepare a burger for lunch.\n5094,2011/07/04,\"I had dinner with Kayden, Carter. I ate sandwich.\",\"I had dinner with Kayden, Carter. I ate sandwich.\"\n5095,2011/07/04,\"I spent 5 talking to Piper, Olivia, Hazel on various topics during lunch hours.\",\"I spent 5 talking to Piper, Olivia, Hazel on various topics during lunch hours.\"\n5096,2011/07/04,\"I talked to Kinsley, Olivia, Piper for 16 minutes in the late afternoon.\",\"I talked to Kinsley, Olivia, Piper for 16 minutes in the late afternoon.\"\n5097,2011/07/04,I spent 35 talking to Avery on various topics during lunch hours.,I spent 35 talking to Avery on various topics during lunch hours.\n5098,2011/07/04,\"I spent 18 talking to Avery, Olivia on various topics late in the evening.\",\"I spent 18 talking to Avery, Olivia on various topics late in the evening.\"\n5099,2011/07/04,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n5100,2011/07/04,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n5101,2011/07/05,\"On 2011/07/05, I took Mia on a date to a park\",\"On 2011/07/05, I took Mia on a date to a park\"\n5102,2011/07/05,I did weight lifting on 2011/07/05.,I did weight lifting on 2011/07/05.\n5103,2011/07/05,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n5104,2011/07/05,I prepare tacos for lunch.,I prepare tacos for lunch.\n5105,2011/07/05,\"I had fish and chips for dinner with Layla, Hazel, Nevaeh, Piper\",\"I had fish and chips for dinner with Layla, Hazel, Nevaeh, Piper\"\n5106,2011/07/05,I spent 19 talking to Piper on various topics in the late afternoon.,I spent 19 talking to Piper on various topics in the late afternoon.\n5107,2011/07/05,\"I talked to Layla, Rylee, Kinsley, Claire for 34 minutes late in the evening.\",\"I talked to Layla, Rylee, Kinsley, Claire for 34 minutes late in the evening.\"\n5108,2011/07/05,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n5109,2011/07/05,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n5110,2011/07/06,I did running on 2011/07/06.,I did running on 2011/07/06.\n5111,2011/07/06,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n5112,2011/07/06,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n5113,2011/07/06,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n5114,2011/07/06,I spent 33 talking to Nora on various topics in the morning.,I spent 33 talking to Nora on various topics in the morning.\n5115,2011/07/06,\"I talked to Lydia, Avery for 12 minutes late in the evening.\",\"I talked to Lydia, Avery for 12 minutes late in the evening.\"\n5116,2011/07/06,\"I spent 42 talking to Hazel, Kinsley, Piper on various topics in the early afternoon.\",\"I spent 42 talking to Hazel, Kinsley, Piper on various topics in the early afternoon.\"\n5117,2011/07/06,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n5118,2011/07/06,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n5119,2011/07/07,\"I bought some watermelons, pears, sports drinks, orange juice, soda, mineral water, conditioner, toothbrush, facial wash online.\",\"I bought some watermelons, pears, sports drinks, orange juice, soda, mineral water, conditioner, toothbrush, facial wash online.\"\n5120,2011/07/07,I did hiking on 2011/07/07.,I did hiking on 2011/07/07.\n5121,2011/07/07,I had cereals for breakfast with Andrew,I had cereals for breakfast with Andrew\n5122,2011/07/07,\"I had chinese food for lunch with Carter, Andrew, Emily, Kayden\",\"I had chinese food for lunch with Carter, Andrew, Emily, Kayden\"\n5123,2011/07/07,\"I had sandwich for dinner with Willow, Jackson, Avery, Benjamin\",\"I had sandwich for dinner with Willow, Jackson, Avery, Benjamin\"\n5124,2011/07/07,\"I spent 14 talking to Kinsley, Claire on various topics late in the evening.\",\"I spent 14 talking to Kinsley, Claire on various topics late in the evening.\"\n5125,2011/07/07,I spent 28 talking to Nevaeh on various topics during lunch hours.,I spent 28 talking to Nevaeh on various topics during lunch hours.\n5126,2011/07/07,\"I spent 11 talking to Hazel, Lydia on various topics late in the evening.\",\"I spent 11 talking to Hazel, Lydia on various topics late in the evening.\"\n5127,2011/07/07,I talked to Avery for 53 minutes in the late afternoon.,I talked to Avery for 53 minutes in the late afternoon.\n5128,2011/07/07,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n5129,2011/07/07,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n5130,2011/07/08,I spent some time working out on 2011/07/08.,I spent some time working out on 2011/07/08.\n5131,2011/07/08,I did HIIT on 2011/07/08.,I did HIIT on 2011/07/08.\n5132,2011/07/08,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n5133,2011/07/08,I ate a burger for lunch.,I ate a burger for lunch.\n5134,2011/07/08,I prepare indian food for dinner.,I prepare indian food for dinner.\n5135,2011/07/08,I spent 51 talking to Olivia on various topics during lunch hours.,I spent 51 talking to Olivia on various topics during lunch hours.\n5136,2011/07/08,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n5137,2011/07/08,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n5138,2011/07/09,I did running on 2011/07/09.,I did running on 2011/07/09.\n5139,2011/07/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n5140,2011/07/09,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n5141,2011/07/09,I ate a burger for dinner.,I ate a burger for dinner.\n5142,2011/07/09,\"I talked to Piper, Layla for 43 minutes in the early evening.\",\"I talked to Piper, Layla for 43 minutes in the early evening.\"\n5143,2011/07/09,\"I spent 47 talking to Kinsley, Rylee, Claire on various topics in the morning.\",\"I spent 47 talking to Kinsley, Rylee, Claire on various topics in the morning.\"\n5144,2011/07/09,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n5145,2011/07/09,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n5146,2011/07/10,I did hiking on 2011/07/10.,I did hiking on 2011/07/10.\n5147,2011/07/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n5148,2011/07/10,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n5149,2011/07/10,I ate steak for dinner.,I ate steak for dinner.\n5150,2011/07/10,I spent 37 talking to Kinsley on various topics during lunch hours.,I spent 37 talking to Kinsley on various topics during lunch hours.\n5151,2011/07/10,I talked to Piper for 41 minutes during lunch hours.,I talked to Piper for 41 minutes during lunch hours.\n5152,2011/07/10,I talked to Lydia for 7 minutes in the early evening.,I talked to Lydia for 7 minutes in the early evening.\n5153,2011/07/10,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n5154,2011/07/10,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n5155,2011/07/11,\"I bought some pears, cherres, pineapple juice, chocolate milk, tea, body lotion, toothbrush online.\",\"I bought some pears, cherres, pineapple juice, chocolate milk, tea, body lotion, toothbrush online.\"\n5156,2011/07/11,I did hiking on 2011/07/11.,I did hiking on 2011/07/11.\n5157,2011/07/11,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n5158,2011/07/11,I ate steak for lunch.,I ate steak for lunch.\n5159,2011/07/11,\"I had dinner with Hazel, Layla, Avery, Rylee, Claire, Eva, Piper, Lydia, Nora, Olivia, Kinsley, Nevaeh. I ate fish and chips.\",\"I had dinner with Hazel, Layla, Avery, Rylee, Claire, Eva, Piper, Lydia, Nora, Olivia, Kinsley, Nevaeh. I ate fish and chips.\"\n5160,2011/07/11,\"I talked to Avery, Piper, Kinsley for 8 minutes late in the evening.\",\"I talked to Avery, Piper, Kinsley for 8 minutes late in the evening.\"\n5161,2011/07/11,\"I spent 36 talking to Lydia, Piper on various topics during lunch hours.\",\"I spent 36 talking to Lydia, Piper on various topics during lunch hours.\"\n5162,2011/07/11,I talked to Hazel for 15 minutes in the morning.,I talked to Hazel for 15 minutes in the morning.\n5163,2011/07/11,I talked to Hazel for 13 minutes in the early afternoon.,I talked to Hazel for 13 minutes in the early afternoon.\n5164,2011/07/11,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n5165,2011/07/11,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n5166,2011/07/12,I did hiking on 2011/07/12.,I did hiking on 2011/07/12.\n5167,2011/07/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n5168,2011/07/12,I ate a burger for lunch.,I ate a burger for lunch.\n5169,2011/07/12,I prepare steak for dinner.,I prepare steak for dinner.\n5170,2011/07/12,I talked to Hazel for 14 minutes in the early afternoon.,I talked to Hazel for 14 minutes in the early afternoon.\n5171,2011/07/12,\"I talked to Layla, Hazel for 32 minutes during lunch hours.\",\"I talked to Layla, Hazel for 32 minutes during lunch hours.\"\n5172,2011/07/12,\"I talked to Nora, Kinsley, Claire for 36 minutes late in the evening.\",\"I talked to Nora, Kinsley, Claire for 36 minutes late in the evening.\"\n5173,2011/07/12,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n5174,2011/07/12,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n5175,2011/07/13,I did HIIT on 2011/07/13.,I did HIIT on 2011/07/13.\n5176,2011/07/13,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n5177,2011/07/13,I ate sushi for lunch.,I ate sushi for lunch.\n5178,2011/07/13,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n5179,2011/07/13,\"I spent 12 talking to Nora, Kinsley, Hazel, Piper on various topics in the morning.\",\"I spent 12 talking to Nora, Kinsley, Hazel, Piper on various topics in the morning.\"\n5180,2011/07/13,\"I talked to Claire, Lydia, Olivia, Eva for 35 minutes in the late afternoon.\",\"I talked to Claire, Lydia, Olivia, Eva for 35 minutes in the late afternoon.\"\n5181,2011/07/13,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n5182,2011/07/13,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n5183,2011/07/14,I spent some time gardening on 2011/07/14.,I spent some time gardening on 2011/07/14.\n5184,2011/07/14,\"I bought some oranges, pears, soda, chocolate milk, coffee, pineapple juice, shampoo from the grocery store. I saw Nevaeh, Piper, Rylee, Kinsley, Hazel, Eva, Layla at the grocery store.\",\"I bought some oranges, pears, soda, chocolate milk, coffee, pineapple juice, shampoo from the grocery store. I saw Nevaeh, Piper, Rylee, Kinsley, Hazel, Eva, Layla at the grocery store.\"\n5185,2011/07/14,I did biking on 2011/07/14.,I did biking on 2011/07/14.\n5186,2011/07/14,\"I had breakfast with Carter, Andrew, Kayden. I ate oatmeal.\",\"I had breakfast with Carter, Andrew, Kayden. I ate oatmeal.\"\n5187,2011/07/14,I ate sushi for lunch.,I ate sushi for lunch.\n5188,2011/07/14,I had dinner with Jackson. I ate chinese food.,I had dinner with Jackson. I ate chinese food.\n5189,2011/07/14,\"I spent 55 talking to Hazel, Layla on various topics in the morning.\",\"I spent 55 talking to Hazel, Layla on various topics in the morning.\"\n5190,2011/07/14,\"I spent 16 talking to Avery, Claire, Layla, Lydia on various topics late in the evening.\",\"I spent 16 talking to Avery, Claire, Layla, Lydia on various topics late in the evening.\"\n5191,2011/07/14,\"I talked to Nora, Piper, Eva for 49 minutes during lunch hours.\",\"I talked to Nora, Piper, Eva for 49 minutes during lunch hours.\"\n5192,2011/07/14,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n5193,2011/07/14,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n5194,2011/07/15,I did biking on 2011/07/15.,I did biking on 2011/07/15.\n5195,2011/07/15,\"I had breakfast with Carter, Kayden, Emily. I ate toast and cheese.\",\"I had breakfast with Carter, Kayden, Emily. I ate toast and cheese.\"\n5196,2011/07/15,\"I had lunch with Andrew, Carter. I ate steak.\",\"I had lunch with Andrew, Carter. I ate steak.\"\n5197,2011/07/15,I ate chinese food for dinner.,I ate chinese food for dinner.\n5198,2011/07/15,\"I talked to Avery, Claire, Kinsley, Layla for 13 minutes in the morning.\",\"I talked to Avery, Claire, Kinsley, Layla for 13 minutes in the morning.\"\n5199,2011/07/15,I talked to Nevaeh for 32 minutes in the late afternoon.,I talked to Nevaeh for 32 minutes in the late afternoon.\n5200,2011/07/15,\"I spent 36 talking to Avery, Kinsley, Lydia, Piper on various topics late in the evening.\",\"I spent 36 talking to Avery, Kinsley, Lydia, Piper on various topics late in the evening.\"\n5201,2011/07/15,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n5202,2011/07/15,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n5203,2011/07/16,I did weight lifting on 2011/07/16.,I did weight lifting on 2011/07/16.\n5204,2011/07/16,\"I had pancakes for breakfast with Nevaeh, Layla, Olivia, Avery, Piper\",\"I had pancakes for breakfast with Nevaeh, Layla, Olivia, Avery, Piper\"\n5205,2011/07/16,\"I had lunch with Kayden, Carter, Emily. I ate tacos.\",\"I had lunch with Kayden, Carter, Emily. I ate tacos.\"\n5206,2011/07/16,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n5207,2011/07/16,\"I spent 29 talking to Nora, Lydia, Avery, Rylee on various topics in the early afternoon.\",\"I spent 29 talking to Nora, Lydia, Avery, Rylee on various topics in the early afternoon.\"\n5208,2011/07/16,\"I talked to Rylee, Claire, Eva, Olivia for 49 minutes in the early evening.\",\"I talked to Rylee, Claire, Eva, Olivia for 49 minutes in the early evening.\"\n5209,2011/07/16,\"I talked to Nora, Eva, Lydia for 32 minutes late in the evening.\",\"I talked to Nora, Eva, Lydia for 32 minutes late in the evening.\"\n5210,2011/07/16,\"I spent 6 talking to Layla, Piper on various topics during lunch hours.\",\"I spent 6 talking to Layla, Piper on various topics during lunch hours.\"\n5211,2011/07/16,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n5212,2011/07/16,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n5213,2011/07/17,I did biking on 2011/07/17.,I did biking on 2011/07/17.\n5214,2011/07/17,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n5215,2011/07/17,\"I had lunch with Kayden, Emily, Carter, Andrew. I ate steak.\",\"I had lunch with Kayden, Emily, Carter, Andrew. I ate steak.\"\n5216,2011/07/17,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n5217,2011/07/17,\"I spent 32 talking to Kinsley, Lydia, Olivia on various topics in the morning.\",\"I spent 32 talking to Kinsley, Lydia, Olivia on various topics in the morning.\"\n5218,2011/07/17,\"I talked to Hazel, Piper, Lydia, Claire for 45 minutes in the late afternoon.\",\"I talked to Hazel, Piper, Lydia, Claire for 45 minutes in the late afternoon.\"\n5219,2011/07/17,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n5220,2011/07/17,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n5221,2011/07/18,I did hiking on 2011/07/18.,I did hiking on 2011/07/18.\n5222,2011/07/18,\"I had breakfast with Claire, Layla, Avery, Rylee. I ate cereals.\",\"I had breakfast with Claire, Layla, Avery, Rylee. I ate cereals.\"\n5223,2011/07/18,I prepare steak for lunch.,I prepare steak for lunch.\n5224,2011/07/18,I had dinner with Andrew. I ate sandwich.,I had dinner with Andrew. I ate sandwich.\n5225,2011/07/18,I spent 41 talking to Eva on various topics during lunch hours.,I spent 41 talking to Eva on various topics during lunch hours.\n5226,2011/07/18,I spent 42 talking to Nevaeh on various topics in the morning.,I spent 42 talking to Nevaeh on various topics in the morning.\n5227,2011/07/18,\"I spent 39 talking to Layla, Avery, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 39 talking to Layla, Avery, Nevaeh, Piper on various topics in the early afternoon.\"\n5228,2011/07/18,\"I spent 34 talking to Nora, Hazel on various topics in the morning.\",\"I spent 34 talking to Nora, Hazel on various topics in the morning.\"\n5229,2011/07/18,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n5230,2011/07/18,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n5231,2011/07/19,I did hiking on 2011/07/19.,I did hiking on 2011/07/19.\n5232,2011/07/19,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5233,2011/07/19,I ate a burger for lunch.,I ate a burger for lunch.\n5234,2011/07/19,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n5235,2011/07/19,\"I talked to Avery, Hazel, Eva, Lydia for 45 minutes late in the evening.\",\"I talked to Avery, Hazel, Eva, Lydia for 45 minutes late in the evening.\"\n5236,2011/07/19,\"I spent 30 talking to Eva, Lydia, Nevaeh, Rylee on various topics late in the evening.\",\"I spent 30 talking to Eva, Lydia, Nevaeh, Rylee on various topics late in the evening.\"\n5237,2011/07/19,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n5238,2011/07/19,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n5239,2011/07/20,I did hiking on 2011/07/20.,I did hiking on 2011/07/20.\n5240,2011/07/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n5241,2011/07/20,I ate steak for lunch.,I ate steak for lunch.\n5242,2011/07/20,\"I had pasta for dinner with Jackson, Avery\",\"I had pasta for dinner with Jackson, Avery\"\n5243,2011/07/20,I talked to Lydia for 45 minutes in the late afternoon.,I talked to Lydia for 45 minutes in the late afternoon.\n5244,2011/07/20,\"I talked to Hazel, Piper for 15 minutes in the early afternoon.\",\"I talked to Hazel, Piper for 15 minutes in the early afternoon.\"\n5245,2011/07/20,I talked to Lydia for 44 minutes in the late afternoon.,I talked to Lydia for 44 minutes in the late afternoon.\n5246,2011/07/20,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n5247,2011/07/20,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n5248,2011/07/21,I did weight lifting on 2011/07/21.,I did weight lifting on 2011/07/21.\n5249,2011/07/21,I had breakfast with Benjamin. I ate cereals.,I had breakfast with Benjamin. I ate cereals.\n5250,2011/07/21,I ate chinese food for lunch.,I ate chinese food for lunch.\n5251,2011/07/21,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n5252,2011/07/21,\"I spent 11 talking to Claire, Piper, Kinsley on various topics in the late afternoon.\",\"I spent 11 talking to Claire, Piper, Kinsley on various topics in the late afternoon.\"\n5253,2011/07/21,\"I talked to Avery, Layla, Piper, Rylee for 43 minutes in the morning.\",\"I talked to Avery, Layla, Piper, Rylee for 43 minutes in the morning.\"\n5254,2011/07/21,\"I talked to Piper, Nora, Rylee, Lydia for 41 minutes in the early afternoon.\",\"I talked to Piper, Nora, Rylee, Lydia for 41 minutes in the early afternoon.\"\n5255,2011/07/21,\"I talked to Nevaeh, Piper, Avery for 15 minutes in the morning.\",\"I talked to Nevaeh, Piper, Avery for 15 minutes in the morning.\"\n5256,2011/07/21,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n5257,2011/07/21,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n5258,2011/07/22,\"I bought some blackberries, guava, pineapples, pineapple juice, apple juice, mango juice, tea, mouthwash, shampoo online.\",\"I bought some blackberries, guava, pineapples, pineapple juice, apple juice, mango juice, tea, mouthwash, shampoo online.\"\n5259,2011/07/22,I had breakfast with Avery. I ate cereals.,I had breakfast with Avery. I ate cereals.\n5260,2011/07/22,I ate chinese food for lunch.,I ate chinese food for lunch.\n5261,2011/07/22,\"I had dinner with Andrew, Carter. I ate pasta.\",\"I had dinner with Andrew, Carter. I ate pasta.\"\n5262,2011/07/22,\"I talked to Lydia, Claire, Avery, Eva for 26 minutes in the early evening.\",\"I talked to Lydia, Claire, Avery, Eva for 26 minutes in the early evening.\"\n5263,2011/07/22,I talked to Claire for 29 minutes in the early evening.,I talked to Claire for 29 minutes in the early evening.\n5264,2011/07/22,I spent 7 talking to Lydia on various topics in the early afternoon.,I spent 7 talking to Lydia on various topics in the early afternoon.\n5265,2011/07/22,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n5266,2011/07/22,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n5267,2011/07/23,\"On 2011/07/23, I took Angel on a date to a park\",\"On 2011/07/23, I took Angel on a date to a park\"\n5268,2011/07/23,I did swimming on 2011/07/23.,I did swimming on 2011/07/23.\n5269,2011/07/23,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n5270,2011/07/23,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n5271,2011/07/23,\"I had dinner with Kinsley, Avery, Nora, Rylee, Piper, Layla, Nevaeh, Olivia, Lydia, Piper, Eva. I ate fish and chips.\",\"I had dinner with Kinsley, Avery, Nora, Rylee, Piper, Layla, Nevaeh, Olivia, Lydia, Piper, Eva. I ate fish and chips.\"\n5272,2011/07/23,\"I talked to Hazel, Rylee, Avery, Layla for 21 minutes in the morning.\",\"I talked to Hazel, Rylee, Avery, Layla for 21 minutes in the morning.\"\n5273,2011/07/23,\"I talked to Eva, Kinsley, Olivia, Claire for 53 minutes in the morning.\",\"I talked to Eva, Kinsley, Olivia, Claire for 53 minutes in the morning.\"\n5274,2011/07/23,\"I talked to Nevaeh, Layla, Nora for 37 minutes in the early afternoon.\",\"I talked to Nevaeh, Layla, Nora for 37 minutes in the early afternoon.\"\n5275,2011/07/23,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n5276,2011/07/23,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n5277,2011/07/24,I did running on 2011/07/24.,I did running on 2011/07/24.\n5278,2011/07/24,\"I had pancakes for breakfast with Piper, Piper, Claire, Avery, Hazel\",\"I had pancakes for breakfast with Piper, Piper, Claire, Avery, Hazel\"\n5279,2011/07/24,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n5280,2011/07/24,\"I had dinner with Carter, Kayden. I ate tacos.\",\"I had dinner with Carter, Kayden. I ate tacos.\"\n5281,2011/07/24,\"I spent 33 talking to Claire, Layla, Piper, Eva on various topics late in the evening.\",\"I spent 33 talking to Claire, Layla, Piper, Eva on various topics late in the evening.\"\n5282,2011/07/24,\"I talked to Nevaeh, Piper, Nora for 49 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Nora for 49 minutes in the early afternoon.\"\n5283,2011/07/24,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n5284,2011/07/24,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n5285,2011/07/25,\"I bought some watermelons, chocolate milk, toothbrush, mouth wash from the grocery store. I saw Andrew, Kayden at the grocery store.\",\"I bought some watermelons, chocolate milk, toothbrush, mouth wash from the grocery store. I saw Andrew, Kayden at the grocery store.\"\n5286,2011/07/25,I did weight lifting on 2011/07/25.,I did weight lifting on 2011/07/25.\n5287,2011/07/25,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n5288,2011/07/25,I ate sandwich for lunch.,I ate sandwich for lunch.\n5289,2011/07/25,\"I had dinner with Hazel, Nevaeh, Eva. I ate sandwich.\",\"I had dinner with Hazel, Nevaeh, Eva. I ate sandwich.\"\n5290,2011/07/25,I talked to Eva for 46 minutes in the late afternoon.,I talked to Eva for 46 minutes in the late afternoon.\n5291,2011/07/25,\"I spent 55 talking to Avery, Piper, Rylee on various topics in the early evening.\",\"I spent 55 talking to Avery, Piper, Rylee on various topics in the early evening.\"\n5292,2011/07/25,\"I spent 38 talking to Claire, Piper on various topics in the late afternoon.\",\"I spent 38 talking to Claire, Piper on various topics in the late afternoon.\"\n5293,2011/07/25,\"I spent 29 talking to Eva, Kinsley, Piper on various topics in the late afternoon.\",\"I spent 29 talking to Eva, Kinsley, Piper on various topics in the late afternoon.\"\n5294,2011/07/25,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n5295,2011/07/25,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n5296,2011/07/26,I did hiking on 2011/07/26.,I did hiking on 2011/07/26.\n5297,2011/07/26,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n5298,2011/07/26,I ate pasta for lunch.,I ate pasta for lunch.\n5299,2011/07/26,\"I had pasta for dinner with Jackson, Willow, Benjamin\",\"I had pasta for dinner with Jackson, Willow, Benjamin\"\n5300,2011/07/26,\"I talked to Olivia, Avery for 7 minutes in the late afternoon.\",\"I talked to Olivia, Avery for 7 minutes in the late afternoon.\"\n5301,2011/07/26,\"I talked to Nevaeh, Nora for 24 minutes late in the evening.\",\"I talked to Nevaeh, Nora for 24 minutes late in the evening.\"\n5302,2011/07/26,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n5303,2011/07/26,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n5304,2011/07/27,\"I bought some apples, sports drinks, tea, conditioner, paper towel, shampoo, shaving cream from the grocery store. I saw Jackson, Avery, Willow, Benjamin at the grocery store.\",\"I bought some apples, sports drinks, tea, conditioner, paper towel, shampoo, shaving cream from the grocery store. I saw Jackson, Avery, Willow, Benjamin at the grocery store.\"\n5305,2011/07/27,I did biking on 2011/07/27.,I did biking on 2011/07/27.\n5306,2011/07/27,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n5307,2011/07/27,\"I had chinese food for lunch with Olivia, Hazel, Eva, Piper, Piper, Nora\",\"I had chinese food for lunch with Olivia, Hazel, Eva, Piper, Piper, Nora\"\n5308,2011/07/27,\"I had sushi for dinner with Rylee, Lydia, Eva, Hazel, Avery, Layla, Kinsley, Nevaeh, Nora, Piper, Piper, Olivia\",\"I had sushi for dinner with Rylee, Lydia, Eva, Hazel, Avery, Layla, Kinsley, Nevaeh, Nora, Piper, Piper, Olivia\"\n5309,2011/07/27,\"I talked to Nora, Nevaeh, Piper for 47 minutes in the early evening.\",\"I talked to Nora, Nevaeh, Piper for 47 minutes in the early evening.\"\n5310,2011/07/27,I talked to Lydia for 38 minutes during lunch hours.,I talked to Lydia for 38 minutes during lunch hours.\n5311,2011/07/27,\"I talked to Rylee, Hazel for 54 minutes in the early evening.\",\"I talked to Rylee, Hazel for 54 minutes in the early evening.\"\n5312,2011/07/27,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n5313,2011/07/27,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n5314,2011/07/28,I did HIIT on 2011/07/28.,I did HIIT on 2011/07/28.\n5315,2011/07/28,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n5316,2011/07/28,I prepare a burger for lunch.,I prepare a burger for lunch.\n5317,2011/07/28,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n5318,2011/07/28,\"I spent 9 talking to Lydia, Piper on various topics in the early evening.\",\"I spent 9 talking to Lydia, Piper on various topics in the early evening.\"\n5319,2011/07/28,\"I talked to Lydia, Hazel, Olivia, Claire for 37 minutes in the early evening.\",\"I talked to Lydia, Hazel, Olivia, Claire for 37 minutes in the early evening.\"\n5320,2011/07/28,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n5321,2011/07/28,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n5322,2011/07/29,\"On 2011/07/29, I took Eliana on a date to a restaurant\",\"On 2011/07/29, I took Eliana on a date to a restaurant\"\n5323,2011/07/29,I did weight lifting on 2011/07/29.,I did weight lifting on 2011/07/29.\n5324,2011/07/29,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n5325,2011/07/29,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n5326,2011/07/29,\"I had tacos for dinner with Willow, Jackson, Avery, Benjamin\",\"I had tacos for dinner with Willow, Jackson, Avery, Benjamin\"\n5327,2011/07/29,I talked to Olivia for 55 minutes in the morning.,I talked to Olivia for 55 minutes in the morning.\n5328,2011/07/29,I spent 19 talking to Olivia on various topics in the late afternoon.,I spent 19 talking to Olivia on various topics in the late afternoon.\n5329,2011/07/29,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n5330,2011/07/29,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n5331,2011/07/30,\"I bought some clementines, strawberries, soda, body lotion, mouth wash online.\",\"I bought some clementines, strawberries, soda, body lotion, mouth wash online.\"\n5332,2011/07/30,I did weight lifting on 2011/07/30.,I did weight lifting on 2011/07/30.\n5333,2011/07/30,\"I had eggs, sausages, and bread for breakfast with Emily\",\"I had eggs, sausages, and bread for breakfast with Emily\"\n5334,2011/07/30,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n5335,2011/07/30,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n5336,2011/07/30,\"I talked to Kinsley, Rylee, Eva for 47 minutes during lunch hours.\",\"I talked to Kinsley, Rylee, Eva for 47 minutes during lunch hours.\"\n5337,2011/07/30,\"I spent 54 talking to Rylee, Nevaeh on various topics during lunch hours.\",\"I spent 54 talking to Rylee, Nevaeh on various topics during lunch hours.\"\n5338,2011/07/30,\"I talked to Nora, Kinsley, Piper, Hazel for 17 minutes in the late afternoon.\",\"I talked to Nora, Kinsley, Piper, Hazel for 17 minutes in the late afternoon.\"\n5339,2011/07/30,I spent 18 talking to Claire on various topics in the late afternoon.,I spent 18 talking to Claire on various topics in the late afternoon.\n5340,2011/07/30,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n5341,2011/07/30,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n5342,2011/07/31,I did running on 2011/07/31.,I did running on 2011/07/31.\n5343,2011/07/31,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n5344,2011/07/31,\"I had lunch with Claire, Nora, Nevaeh. I ate chinese food.\",\"I had lunch with Claire, Nora, Nevaeh. I ate chinese food.\"\n5345,2011/07/31,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n5346,2011/07/31,\"I spent 6 talking to Lydia, Kinsley on various topics in the early evening.\",\"I spent 6 talking to Lydia, Kinsley on various topics in the early evening.\"\n5347,2011/07/31,\"I talked to Layla, Lydia for 28 minutes in the morning.\",\"I talked to Layla, Lydia for 28 minutes in the morning.\"\n5348,2011/07/31,\"I talked to Claire, Nora for 16 minutes in the late afternoon.\",\"I talked to Claire, Nora for 16 minutes in the late afternoon.\"\n5349,2011/07/31,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n5350,2011/07/31,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n5351,2011/08/01,I did swimming on 2011/08/01.,I did swimming on 2011/08/01.\n5352,2011/08/01,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n5353,2011/08/01,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n5354,2011/08/01,I prepare steak for dinner.,I prepare steak for dinner.\n5355,2011/08/01,\"I spent 6 talking to Layla, Eva, Hazel on various topics in the morning.\",\"I spent 6 talking to Layla, Eva, Hazel on various topics in the morning.\"\n5356,2011/08/01,\"I spent 48 talking to Lydia, Piper, Avery on various topics in the early afternoon.\",\"I spent 48 talking to Lydia, Piper, Avery on various topics in the early afternoon.\"\n5357,2011/08/01,I spent 28 talking to Piper on various topics in the morning.,I spent 28 talking to Piper on various topics in the morning.\n5358,2011/08/01,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n5359,2011/08/01,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n5360,2011/08/02,I did hiking on 2011/08/02.,I did hiking on 2011/08/02.\n5361,2011/08/02,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n5362,2011/08/02,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n5363,2011/08/02,\"I had steak for dinner with Piper, Claire, Avery\",\"I had steak for dinner with Piper, Claire, Avery\"\n5364,2011/08/02,\"I talked to Hazel, Piper, Claire, Eva for 49 minutes during lunch hours.\",\"I talked to Hazel, Piper, Claire, Eva for 49 minutes during lunch hours.\"\n5365,2011/08/02,\"I spent 21 talking to Avery, Nevaeh, Piper on various topics during lunch hours.\",\"I spent 21 talking to Avery, Nevaeh, Piper on various topics during lunch hours.\"\n5366,2011/08/02,\"I talked to Nora, Olivia for 10 minutes in the early afternoon.\",\"I talked to Nora, Olivia for 10 minutes in the early afternoon.\"\n5367,2011/08/02,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n5368,2011/08/02,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n5369,2011/08/03,\"I went grocery shopping with Avery, Jackson. I bought some pineapples, blackberries, soda, and mouthwash, toilet paper, mouth wash, shampoo\",\"I went grocery shopping with Avery, Jackson. I bought some pineapples, blackberries, soda, and mouthwash, toilet paper, mouth wash, shampoo\"\n5370,2011/08/03,I did biking on 2011/08/03.,I did biking on 2011/08/03.\n5371,2011/08/03,I ate cereals for breakfast.,I ate cereals for breakfast.\n5372,2011/08/03,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n5373,2011/08/03,\"I had a burger for dinner with Nevaeh, Lydia, Nora, Piper, Eva\",\"I had a burger for dinner with Nevaeh, Lydia, Nora, Piper, Eva\"\n5374,2011/08/03,\"I spent 38 talking to Nevaeh, Piper, Piper, Layla on various topics during lunch hours.\",\"I spent 38 talking to Nevaeh, Piper, Piper, Layla on various topics during lunch hours.\"\n5375,2011/08/03,\"I spent 44 talking to Layla, Kinsley, Eva on various topics in the late afternoon.\",\"I spent 44 talking to Layla, Kinsley, Eva on various topics in the late afternoon.\"\n5376,2011/08/03,I talked to Nevaeh for 55 minutes late in the evening.,I talked to Nevaeh for 55 minutes late in the evening.\n5377,2011/08/03,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n5378,2011/08/03,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n5379,2011/08/04,I did swimming on 2011/08/04.,I did swimming on 2011/08/04.\n5380,2011/08/04,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n5381,2011/08/04,I ate chinese food for lunch.,I ate chinese food for lunch.\n5382,2011/08/04,\"I had chinese food for dinner with Emily, Carter, Andrew, Kayden\",\"I had chinese food for dinner with Emily, Carter, Andrew, Kayden\"\n5383,2011/08/04,\"I spent 38 talking to Piper, Eva, Claire, Rylee on various topics in the early afternoon.\",\"I spent 38 talking to Piper, Eva, Claire, Rylee on various topics in the early afternoon.\"\n5384,2011/08/04,\"I talked to Olivia, Eva, Nevaeh, Claire for 50 minutes in the early afternoon.\",\"I talked to Olivia, Eva, Nevaeh, Claire for 50 minutes in the early afternoon.\"\n5385,2011/08/04,\"I spent 26 talking to Piper, Avery on various topics late in the evening.\",\"I spent 26 talking to Piper, Avery on various topics late in the evening.\"\n5386,2011/08/04,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n5387,2011/08/04,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n5388,2011/08/05,I did running on 2011/08/05.,I did running on 2011/08/05.\n5389,2011/08/05,\"I had breakfast with Claire, Lydia, Kinsley, Avery, Nevaeh, Hazel, Eva, Nora, Rylee, Piper. I ate toast and cheese.\",\"I had breakfast with Claire, Lydia, Kinsley, Avery, Nevaeh, Hazel, Eva, Nora, Rylee, Piper. I ate toast and cheese.\"\n5390,2011/08/05,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n5391,2011/08/05,\"I had indian food for dinner with Carter, Emily, Andrew\",\"I had indian food for dinner with Carter, Emily, Andrew\"\n5392,2011/08/05,\"I talked to Olivia, Hazel for 31 minutes late in the evening.\",\"I talked to Olivia, Hazel for 31 minutes late in the evening.\"\n5393,2011/08/05,I spent 49 talking to Eva on various topics late in the evening.,I spent 49 talking to Eva on various topics late in the evening.\n5394,2011/08/05,I spent 26 talking to Lydia on various topics in the early evening.,I spent 26 talking to Lydia on various topics in the early evening.\n5395,2011/08/05,I spent 11 talking to Nora on various topics late in the evening.,I spent 11 talking to Nora on various topics late in the evening.\n5396,2011/08/05,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n5397,2011/08/05,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n5398,2011/08/06,I did hiking on 2011/08/06.,I did hiking on 2011/08/06.\n5399,2011/08/06,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n5400,2011/08/06,\"I had lunch with Rylee, Lydia, Claire, Layla, Nevaeh, Olivia, Avery, Piper. I ate sushi.\",\"I had lunch with Rylee, Lydia, Claire, Layla, Nevaeh, Olivia, Avery, Piper. I ate sushi.\"\n5401,2011/08/06,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n5402,2011/08/06,\"I spent 7 talking to Kinsley, Piper, Nevaeh, Piper on various topics late in the evening.\",\"I spent 7 talking to Kinsley, Piper, Nevaeh, Piper on various topics late in the evening.\"\n5403,2011/08/06,\"I spent 44 talking to Kinsley, Nora on various topics during lunch hours.\",\"I spent 44 talking to Kinsley, Nora on various topics during lunch hours.\"\n5404,2011/08/06,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n5405,2011/08/06,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n5406,2011/08/07,I did HIIT on 2011/08/07.,I did HIIT on 2011/08/07.\n5407,2011/08/07,\"I had breakfast with Avery, Hazel, Rylee, Layla, Nevaeh, Lydia, Piper, Eva, Kinsley, Claire, Nora. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Hazel, Rylee, Layla, Nevaeh, Lydia, Piper, Eva, Kinsley, Claire, Nora. I ate peanut-butter-jam.\"\n5408,2011/08/07,I prepare sushi for lunch.,I prepare sushi for lunch.\n5409,2011/08/07,\"I had dinner with Andrew, Kayden, Carter. I ate fish and chips.\",\"I had dinner with Andrew, Kayden, Carter. I ate fish and chips.\"\n5410,2011/08/07,I spent 21 talking to Lydia on various topics during lunch hours.,I spent 21 talking to Lydia on various topics during lunch hours.\n5411,2011/08/07,\"I spent 47 talking to Hazel, Nevaeh, Kinsley, Lydia on various topics in the late afternoon.\",\"I spent 47 talking to Hazel, Nevaeh, Kinsley, Lydia on various topics in the late afternoon.\"\n5412,2011/08/07,\"I spent 47 talking to Kinsley, Olivia, Lydia on various topics in the early evening.\",\"I spent 47 talking to Kinsley, Olivia, Lydia on various topics in the early evening.\"\n5413,2011/08/07,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n5414,2011/08/07,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n5415,2011/08/08,I did swimming on 2011/08/08.,I did swimming on 2011/08/08.\n5416,2011/08/08,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n5417,2011/08/08,\"I had lunch with Olivia, Claire, Eva. I ate indian food.\",\"I had lunch with Olivia, Claire, Eva. I ate indian food.\"\n5418,2011/08/08,I ate sandwich for dinner.,I ate sandwich for dinner.\n5419,2011/08/08,\"I talked to Piper, Nora for 11 minutes late in the evening.\",\"I talked to Piper, Nora for 11 minutes late in the evening.\"\n5420,2011/08/08,\"I talked to Piper, Olivia, Piper, Eva for 31 minutes in the early afternoon.\",\"I talked to Piper, Olivia, Piper, Eva for 31 minutes in the early afternoon.\"\n5421,2011/08/08,\"I spent 35 talking to Avery, Claire on various topics in the morning.\",\"I spent 35 talking to Avery, Claire on various topics in the morning.\"\n5422,2011/08/08,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n5423,2011/08/08,I watched news for 36 minutes on TV today.,I watched news for 36 minutes on TV today.\n5424,2011/08/09,\"I bought some peaches, cherres, mango juice, tea, toothpaste, shampoo from the grocery store. I saw Kayden, Carter at the grocery store.\",\"I bought some peaches, cherres, mango juice, tea, toothpaste, shampoo from the grocery store. I saw Kayden, Carter at the grocery store.\"\n5425,2011/08/09,I did hiking on 2011/08/09.,I did hiking on 2011/08/09.\n5426,2011/08/09,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n5427,2011/08/09,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n5428,2011/08/09,\"I had sandwich for dinner with Kayden, Carter, Andrew, Emily\",\"I had sandwich for dinner with Kayden, Carter, Andrew, Emily\"\n5429,2011/08/09,\"I talked to Kinsley, Piper for 31 minutes in the early evening.\",\"I talked to Kinsley, Piper for 31 minutes in the early evening.\"\n5430,2011/08/09,\"I spent 6 talking to Layla, Avery, Olivia on various topics in the early evening.\",\"I spent 6 talking to Layla, Avery, Olivia on various topics in the early evening.\"\n5431,2011/08/09,\"I talked to Olivia, Kinsley for 5 minutes during lunch hours.\",\"I talked to Olivia, Kinsley for 5 minutes during lunch hours.\"\n5432,2011/08/09,\"I talked to Avery, Lydia for 45 minutes late in the evening.\",\"I talked to Avery, Lydia for 45 minutes late in the evening.\"\n5433,2011/08/09,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n5434,2011/08/09,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n5435,2011/08/10,I did hiking on 2011/08/10.,I did hiking on 2011/08/10.\n5436,2011/08/10,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n5437,2011/08/10,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n5438,2011/08/10,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n5439,2011/08/10,\"I spent 49 talking to Eva, Lydia on various topics in the early afternoon.\",\"I spent 49 talking to Eva, Lydia on various topics in the early afternoon.\"\n5440,2011/08/10,\"I talked to Nora, Lydia, Kinsley, Layla for 32 minutes in the early afternoon.\",\"I talked to Nora, Lydia, Kinsley, Layla for 32 minutes in the early afternoon.\"\n5441,2011/08/10,\"I talked to Piper, Claire, Kinsley, Lydia for 17 minutes during lunch hours.\",\"I talked to Piper, Claire, Kinsley, Lydia for 17 minutes during lunch hours.\"\n5442,2011/08/10,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n5443,2011/08/10,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n5444,2011/08/11,I did hiking on 2011/08/11.,I did hiking on 2011/08/11.\n5445,2011/08/11,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n5446,2011/08/11,\"I had a burger for lunch with Kayden, Andrew, Carter\",\"I had a burger for lunch with Kayden, Andrew, Carter\"\n5447,2011/08/11,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n5448,2011/08/11,\"I spent 11 talking to Layla, Olivia on various topics late in the evening.\",\"I spent 11 talking to Layla, Olivia on various topics late in the evening.\"\n5449,2011/08/11,\"I spent 37 talking to Nevaeh, Kinsley, Hazel on various topics in the late afternoon.\",\"I spent 37 talking to Nevaeh, Kinsley, Hazel on various topics in the late afternoon.\"\n5450,2011/08/11,I spent 54 talking to Hazel on various topics in the early evening.,I spent 54 talking to Hazel on various topics in the early evening.\n5451,2011/08/11,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n5452,2011/08/11,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n5453,2011/08/12,I did hiking on 2011/08/12.,I did hiking on 2011/08/12.\n5454,2011/08/12,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n5455,2011/08/12,\"I had lunch with Carter, Andrew, Kayden, Emily. I ate a burger.\",\"I had lunch with Carter, Andrew, Kayden, Emily. I ate a burger.\"\n5456,2011/08/12,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n5457,2011/08/12,I talked to Piper for 22 minutes in the morning.,I talked to Piper for 22 minutes in the morning.\n5458,2011/08/12,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n5459,2011/08/12,I watched news for 52 minutes on TV today.,I watched news for 52 minutes on TV today.\n5460,2011/08/13,I spent some time yoga on 2011/08/13.,I spent some time yoga on 2011/08/13.\n5461,2011/08/13,I did biking on 2011/08/13.,I did biking on 2011/08/13.\n5462,2011/08/13,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n5463,2011/08/13,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n5464,2011/08/13,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n5465,2011/08/13,\"I spent 51 talking to Eva, Nevaeh on various topics in the early evening.\",\"I spent 51 talking to Eva, Nevaeh on various topics in the early evening.\"\n5466,2011/08/13,\"I talked to Eva, Nora for 11 minutes late in the evening.\",\"I talked to Eva, Nora for 11 minutes late in the evening.\"\n5467,2011/08/13,I spent 14 talking to Rylee on various topics in the early evening.,I spent 14 talking to Rylee on various topics in the early evening.\n5468,2011/08/13,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n5469,2011/08/13,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n5470,2011/08/14,I did biking on 2011/08/14.,I did biking on 2011/08/14.\n5471,2011/08/14,\"I had oatmeal for breakfast with Jackson, Benjamin, Avery, Willow\",\"I had oatmeal for breakfast with Jackson, Benjamin, Avery, Willow\"\n5472,2011/08/14,I prepare indian food for lunch.,I prepare indian food for lunch.\n5473,2011/08/14,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n5474,2011/08/14,\"I talked to Claire, Layla for 38 minutes in the early evening.\",\"I talked to Claire, Layla for 38 minutes in the early evening.\"\n5475,2011/08/14,\"I spent 40 talking to Avery, Hazel, Piper, Piper on various topics during lunch hours.\",\"I spent 40 talking to Avery, Hazel, Piper, Piper on various topics during lunch hours.\"\n5476,2011/08/14,\"I spent 52 talking to Olivia, Piper, Avery, Nora on various topics in the morning.\",\"I spent 52 talking to Olivia, Piper, Avery, Nora on various topics in the morning.\"\n5477,2011/08/14,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n5478,2011/08/14,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n5479,2011/08/15,I did running on 2011/08/15.,I did running on 2011/08/15.\n5480,2011/08/15,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5481,2011/08/15,I had lunch with Carter. I ate chinese food.,I had lunch with Carter. I ate chinese food.\n5482,2011/08/15,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n5483,2011/08/15,\"I spent 22 talking to Hazel, Lydia, Claire, Nora on various topics late in the evening.\",\"I spent 22 talking to Hazel, Lydia, Claire, Nora on various topics late in the evening.\"\n5484,2011/08/15,\"I spent 31 talking to Nora, Piper, Hazel, Kinsley on various topics in the early afternoon.\",\"I spent 31 talking to Nora, Piper, Hazel, Kinsley on various topics in the early afternoon.\"\n5485,2011/08/15,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n5486,2011/08/15,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n5487,2011/08/16,I did running on 2011/08/16.,I did running on 2011/08/16.\n5488,2011/08/16,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n5489,2011/08/16,I ate a burger for lunch.,I ate a burger for lunch.\n5490,2011/08/16,I prepare indian food for dinner.,I prepare indian food for dinner.\n5491,2011/08/16,\"I spent 39 talking to Piper, Layla on various topics in the early afternoon.\",\"I spent 39 talking to Piper, Layla on various topics in the early afternoon.\"\n5492,2011/08/16,\"I spent 51 talking to Layla, Olivia on various topics in the late afternoon.\",\"I spent 51 talking to Layla, Olivia on various topics in the late afternoon.\"\n5493,2011/08/16,I spent 10 talking to Claire on various topics during lunch hours.,I spent 10 talking to Claire on various topics during lunch hours.\n5494,2011/08/16,\"I spent 11 talking to Claire, Layla, Lydia, Olivia on various topics late in the evening.\",\"I spent 11 talking to Claire, Layla, Lydia, Olivia on various topics late in the evening.\"\n5495,2011/08/16,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n5496,2011/08/16,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n5497,2011/08/17,\"On 2011/08/17, I took Parker on a date to a park\",\"On 2011/08/17, I took Parker on a date to a park\"\n5498,2011/08/17,I did weight lifting on 2011/08/17.,I did weight lifting on 2011/08/17.\n5499,2011/08/17,I had breakfast with Kayden. I ate pancakes.,I had breakfast with Kayden. I ate pancakes.\n5500,2011/08/17,I prepare sushi for lunch.,I prepare sushi for lunch.\n5501,2011/08/17,I ate indian food for dinner.,I ate indian food for dinner.\n5502,2011/08/17,\"I talked to Lydia, Rylee for 34 minutes in the late afternoon.\",\"I talked to Lydia, Rylee for 34 minutes in the late afternoon.\"\n5503,2011/08/17,I spent 17 talking to Kinsley on various topics in the early evening.,I spent 17 talking to Kinsley on various topics in the early evening.\n5504,2011/08/17,\"I talked to Piper, Kinsley for 16 minutes in the early evening.\",\"I talked to Piper, Kinsley for 16 minutes in the early evening.\"\n5505,2011/08/17,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n5506,2011/08/17,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n5507,2011/08/18,I did biking on 2011/08/18.,I did biking on 2011/08/18.\n5508,2011/08/18,\"I had oatmeal for breakfast with Kayden, Carter, Emily, Andrew\",\"I had oatmeal for breakfast with Kayden, Carter, Emily, Andrew\"\n5509,2011/08/18,I ate chinese food for lunch.,I ate chinese food for lunch.\n5510,2011/08/18,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n5511,2011/08/18,\"I talked to Rylee, Piper for 10 minutes during lunch hours.\",\"I talked to Rylee, Piper for 10 minutes during lunch hours.\"\n5512,2011/08/18,I talked to Piper for 44 minutes in the early evening.,I talked to Piper for 44 minutes in the early evening.\n5513,2011/08/18,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n5514,2011/08/18,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n5515,2011/08/19,\"I bought some mangos, oranges, apples, peaches, apple juice, coffee, mineral water, mouthwash, toothpaste, conditioner, body lotion from the grocery store. I saw Andrew, Emily, Kayden, Carter at the grocery store.\",\"I bought some mangos, oranges, apples, peaches, apple juice, coffee, mineral water, mouthwash, toothpaste, conditioner, body lotion from the grocery store. I saw Andrew, Emily, Kayden, Carter at the grocery store.\"\n5516,2011/08/19,I did HIIT on 2011/08/19.,I did HIIT on 2011/08/19.\n5517,2011/08/19,\"I had breakfast with Jackson, Benjamin, Willow, Avery. I ate toast and cheese.\",\"I had breakfast with Jackson, Benjamin, Willow, Avery. I ate toast and cheese.\"\n5518,2011/08/19,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n5519,2011/08/19,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n5520,2011/08/19,\"I spent 6 talking to Layla, Kinsley, Olivia on various topics in the early afternoon.\",\"I spent 6 talking to Layla, Kinsley, Olivia on various topics in the early afternoon.\"\n5521,2011/08/19,\"I spent 40 talking to Eva, Hazel, Avery, Olivia on various topics in the morning.\",\"I spent 40 talking to Eva, Hazel, Avery, Olivia on various topics in the morning.\"\n5522,2011/08/19,\"I spent 37 talking to Piper, Nora, Olivia, Nevaeh on various topics late in the evening.\",\"I spent 37 talking to Piper, Nora, Olivia, Nevaeh on various topics late in the evening.\"\n5523,2011/08/19,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n5524,2011/08/19,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n5525,2011/08/20,I did weight lifting on 2011/08/20.,I did weight lifting on 2011/08/20.\n5526,2011/08/20,\"I had breakfast with Emily, Andrew. I ate cereals.\",\"I had breakfast with Emily, Andrew. I ate cereals.\"\n5527,2011/08/20,\"I had sandwich for lunch with Jackson, Avery\",\"I had sandwich for lunch with Jackson, Avery\"\n5528,2011/08/20,\"I had a burger for dinner with Lydia, Nora, Piper, Avery, Nevaeh, Piper, Rylee, Kinsley, Olivia, Hazel\",\"I had a burger for dinner with Lydia, Nora, Piper, Avery, Nevaeh, Piper, Rylee, Kinsley, Olivia, Hazel\"\n5529,2011/08/20,\"I spent 38 talking to Layla, Hazel on various topics in the early afternoon.\",\"I spent 38 talking to Layla, Hazel on various topics in the early afternoon.\"\n5530,2011/08/20,I spent 51 talking to Kinsley on various topics in the late afternoon.,I spent 51 talking to Kinsley on various topics in the late afternoon.\n5531,2011/08/20,\"I talked to Piper, Olivia for 5 minutes in the morning.\",\"I talked to Piper, Olivia for 5 minutes in the morning.\"\n5532,2011/08/20,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n5533,2011/08/20,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n5534,2011/08/21,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n5535,2011/08/21,\"I had pasta for lunch with Benjamin, Avery, Jackson\",\"I had pasta for lunch with Benjamin, Avery, Jackson\"\n5536,2011/08/21,I ate tacos for dinner.,I ate tacos for dinner.\n5537,2011/08/21,\"I talked to Olivia, Piper for 24 minutes during lunch hours.\",\"I talked to Olivia, Piper for 24 minutes during lunch hours.\"\n5538,2011/08/21,I spent 21 talking to Piper on various topics in the morning.,I spent 21 talking to Piper on various topics in the morning.\n5539,2011/08/21,I spent 48 talking to Kinsley on various topics during lunch hours.,I spent 48 talking to Kinsley on various topics during lunch hours.\n5540,2011/08/21,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n5541,2011/08/21,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n5542,2011/08/22,I went on a date with Owen on 2011/08/22 at a restaurant,I went on a date with Owen on 2011/08/22 at a restaurant\n5543,2011/08/22,I did swimming on 2011/08/22.,I did swimming on 2011/08/22.\n5544,2011/08/22,\"I had toast and cheese for breakfast with Avery, Olivia, Layla, Piper\",\"I had toast and cheese for breakfast with Avery, Olivia, Layla, Piper\"\n5545,2011/08/22,I ate indian food for lunch.,I ate indian food for lunch.\n5546,2011/08/22,\"I had steak for dinner with Emily, Carter, Kayden, Andrew\",\"I had steak for dinner with Emily, Carter, Kayden, Andrew\"\n5547,2011/08/22,\"I spent 46 talking to Nevaeh, Avery, Piper, Hazel on various topics during lunch hours.\",\"I spent 46 talking to Nevaeh, Avery, Piper, Hazel on various topics during lunch hours.\"\n5548,2011/08/22,\"I talked to Layla, Olivia, Claire for 46 minutes during lunch hours.\",\"I talked to Layla, Olivia, Claire for 46 minutes during lunch hours.\"\n5549,2011/08/22,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n5550,2011/08/22,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n5551,2011/08/23,I did hiking on 2011/08/23.,I did hiking on 2011/08/23.\n5552,2011/08/23,\"I had eggs, sausages, and bread for breakfast with Carter\",\"I had eggs, sausages, and bread for breakfast with Carter\"\n5553,2011/08/23,I prepare a burger for lunch.,I prepare a burger for lunch.\n5554,2011/08/23,\"I had tacos for dinner with Jackson, Willow, Avery\",\"I had tacos for dinner with Jackson, Willow, Avery\"\n5555,2011/08/23,I spent 20 talking to Rylee on various topics in the early evening.,I spent 20 talking to Rylee on various topics in the early evening.\n5556,2011/08/23,\"I spent 45 talking to Hazel, Kinsley on various topics in the late afternoon.\",\"I spent 45 talking to Hazel, Kinsley on various topics in the late afternoon.\"\n5557,2011/08/23,I spent 11 talking to Lydia on various topics during lunch hours.,I spent 11 talking to Lydia on various topics during lunch hours.\n5558,2011/08/23,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n5559,2011/08/23,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n5560,2011/08/24,I did weight lifting on 2011/08/24.,I did weight lifting on 2011/08/24.\n5561,2011/08/24,I ate cereals for breakfast.,I ate cereals for breakfast.\n5562,2011/08/24,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n5563,2011/08/24,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n5564,2011/08/24,\"I talked to Eva, Avery, Hazel for 19 minutes during lunch hours.\",\"I talked to Eva, Avery, Hazel for 19 minutes during lunch hours.\"\n5565,2011/08/24,\"I talked to Claire, Kinsley, Layla, Piper for 23 minutes in the early afternoon.\",\"I talked to Claire, Kinsley, Layla, Piper for 23 minutes in the early afternoon.\"\n5566,2011/08/24,\"I spent 48 talking to Piper, Avery, Claire on various topics in the early evening.\",\"I spent 48 talking to Piper, Avery, Claire on various topics in the early evening.\"\n5567,2011/08/24,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n5568,2011/08/24,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n5569,2011/08/25,I did hiking on 2011/08/25.,I did hiking on 2011/08/25.\n5570,2011/08/25,\"I had breakfast with Layla, Claire, Nevaeh, Piper, Hazel, Piper, Eva, Kinsley, Lydia, Rylee, Avery, Olivia, Nora. I ate pancakes.\",\"I had breakfast with Layla, Claire, Nevaeh, Piper, Hazel, Piper, Eva, Kinsley, Lydia, Rylee, Avery, Olivia, Nora. I ate pancakes.\"\n5571,2011/08/25,I had lunch with Andrew. I ate chinese food.,I had lunch with Andrew. I ate chinese food.\n5572,2011/08/25,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n5573,2011/08/25,\"I talked to Olivia, Piper, Claire, Eva for 43 minutes in the late afternoon.\",\"I talked to Olivia, Piper, Claire, Eva for 43 minutes in the late afternoon.\"\n5574,2011/08/25,\"I spent 22 talking to Eva, Nevaeh on various topics in the morning.\",\"I spent 22 talking to Eva, Nevaeh on various topics in the morning.\"\n5575,2011/08/25,\"I spent 14 talking to Piper, Lydia, Eva on various topics in the morning.\",\"I spent 14 talking to Piper, Lydia, Eva on various topics in the morning.\"\n5576,2011/08/25,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n5577,2011/08/25,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n5578,2011/08/26,\"On 2011/08/26, I took Easton on a date to a park\",\"On 2011/08/26, I took Easton on a date to a park\"\n5579,2011/08/26,I really enjoyed learning a language on 2011/08/26,I really enjoyed learning a language on 2011/08/26\n5580,2011/08/26,\"I went grocery shopping. I bought some pears, sports drinks, coffee, mango juice, orange juice, and toilet paper, mouthwash, shampoo, facial wash\",\"I went grocery shopping. I bought some pears, sports drinks, coffee, mango juice, orange juice, and toilet paper, mouthwash, shampoo, facial wash\"\n5581,2011/08/26,I did biking on 2011/08/26.,I did biking on 2011/08/26.\n5582,2011/08/26,\"I had breakfast with Emily, Kayden. I ate pancakes.\",\"I had breakfast with Emily, Kayden. I ate pancakes.\"\n5583,2011/08/26,I prepare a burger for lunch.,I prepare a burger for lunch.\n5584,2011/08/26,I prepare tacos for dinner.,I prepare tacos for dinner.\n5585,2011/08/26,I spent 31 talking to Nevaeh on various topics in the morning.,I spent 31 talking to Nevaeh on various topics in the morning.\n5586,2011/08/26,\"I spent 49 talking to Avery, Claire, Nora, Piper on various topics in the early afternoon.\",\"I spent 49 talking to Avery, Claire, Nora, Piper on various topics in the early afternoon.\"\n5587,2011/08/26,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n5588,2011/08/26,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n5589,2011/08/27,I did hiking on 2011/08/27.,I did hiking on 2011/08/27.\n5590,2011/08/27,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n5591,2011/08/27,I prepare pasta for lunch.,I prepare pasta for lunch.\n5592,2011/08/27,\"I had fish and chips for dinner with Kinsley, Hazel, Nevaeh, Piper, Rylee, Olivia, Lydia, Nora, Avery, Piper, Claire, Eva\",\"I had fish and chips for dinner with Kinsley, Hazel, Nevaeh, Piper, Rylee, Olivia, Lydia, Nora, Avery, Piper, Claire, Eva\"\n5593,2011/08/27,\"I talked to Piper, Olivia, Eva, Avery for 32 minutes in the early evening.\",\"I talked to Piper, Olivia, Eva, Avery for 32 minutes in the early evening.\"\n5594,2011/08/27,\"I talked to Nora, Avery for 19 minutes during lunch hours.\",\"I talked to Nora, Avery for 19 minutes during lunch hours.\"\n5595,2011/08/27,\"I talked to Olivia, Piper, Lydia, Nevaeh for 14 minutes in the early afternoon.\",\"I talked to Olivia, Piper, Lydia, Nevaeh for 14 minutes in the early afternoon.\"\n5596,2011/08/27,I talked to Nevaeh for 38 minutes in the late afternoon.,I talked to Nevaeh for 38 minutes in the late afternoon.\n5597,2011/08/27,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n5598,2011/08/27,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n5599,2011/08/28,I did biking on 2011/08/28.,I did biking on 2011/08/28.\n5600,2011/08/28,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n5601,2011/08/28,\"I had lunch with Andrew, Carter. I ate sandwich.\",\"I had lunch with Andrew, Carter. I ate sandwich.\"\n5602,2011/08/28,\"I had dinner with Kinsley, Hazel, Avery, Nora, Rylee, Layla. I ate pasta.\",\"I had dinner with Kinsley, Hazel, Avery, Nora, Rylee, Layla. I ate pasta.\"\n5603,2011/08/28,\"I spent 50 talking to Layla, Piper, Hazel, Lydia on various topics in the morning.\",\"I spent 50 talking to Layla, Piper, Hazel, Lydia on various topics in the morning.\"\n5604,2011/08/28,\"I talked to Kinsley, Nevaeh, Avery for 11 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh, Avery for 11 minutes late in the evening.\"\n5605,2011/08/28,\"I talked to Claire, Kinsley for 39 minutes in the morning.\",\"I talked to Claire, Kinsley for 39 minutes in the morning.\"\n5606,2011/08/28,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n5607,2011/08/28,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n5608,2011/08/29,I really enjoyed gardening on 2011/08/29,I really enjoyed gardening on 2011/08/29\n5609,2011/08/29,I did biking on 2011/08/29.,I did biking on 2011/08/29.\n5610,2011/08/29,\"I had breakfast with Emily, Andrew, Carter, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Andrew, Carter, Kayden. I ate eggs, sausages, and bread.\"\n5611,2011/08/29,I had sushi for lunch with Kayden,I had sushi for lunch with Kayden\n5612,2011/08/29,\"I had dinner with Claire, Nevaeh, Hazel, Rylee, Olivia, Nora, Piper, Piper, Eva, Kinsley, Avery, Layla. I ate indian food.\",\"I had dinner with Claire, Nevaeh, Hazel, Rylee, Olivia, Nora, Piper, Piper, Eva, Kinsley, Avery, Layla. I ate indian food.\"\n5613,2011/08/29,\"I spent 6 talking to Hazel, Claire, Eva on various topics in the morning.\",\"I spent 6 talking to Hazel, Claire, Eva on various topics in the morning.\"\n5614,2011/08/29,\"I spent 19 talking to Piper, Hazel, Piper, Claire on various topics late in the evening.\",\"I spent 19 talking to Piper, Hazel, Piper, Claire on various topics late in the evening.\"\n5615,2011/08/29,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n5616,2011/08/29,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n5617,2011/08/30,I did hiking on 2011/08/30.,I did hiking on 2011/08/30.\n5618,2011/08/30,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n5619,2011/08/30,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n5620,2011/08/30,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n5621,2011/08/30,\"I spent 31 talking to Lydia, Layla, Hazel on various topics in the early evening.\",\"I spent 31 talking to Lydia, Layla, Hazel on various topics in the early evening.\"\n5622,2011/08/30,\"I spent 43 talking to Layla, Rylee on various topics during lunch hours.\",\"I spent 43 talking to Layla, Rylee on various topics during lunch hours.\"\n5623,2011/08/30,\"I talked to Nora, Hazel, Rylee for 24 minutes in the early afternoon.\",\"I talked to Nora, Hazel, Rylee for 24 minutes in the early afternoon.\"\n5624,2011/08/30,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n5625,2011/08/30,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n5626,2011/08/31,\"I bought some apricots, apple juice, guava juice, pineapple juice, milk, shampoo, toothbrush, facial wash online.\",\"I bought some apricots, apple juice, guava juice, pineapple juice, milk, shampoo, toothbrush, facial wash online.\"\n5627,2011/08/31,I had peanut-butter-jam for breakfast with Benjamin,I had peanut-butter-jam for breakfast with Benjamin\n5628,2011/08/31,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n5629,2011/08/31,I prepare steak for dinner.,I prepare steak for dinner.\n5630,2011/08/31,I talked to Hazel for 35 minutes in the late afternoon.,I talked to Hazel for 35 minutes in the late afternoon.\n5631,2011/08/31,I talked to Avery for 19 minutes in the early evening.,I talked to Avery for 19 minutes in the early evening.\n5632,2011/08/31,\"I talked to Rylee, Claire, Kinsley, Avery for 12 minutes during lunch hours.\",\"I talked to Rylee, Claire, Kinsley, Avery for 12 minutes during lunch hours.\"\n5633,2011/08/31,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n5634,2011/08/31,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n5635,2011/09/01,I did hiking on 2011/09/01.,I did hiking on 2011/09/01.\n5636,2011/09/01,\"I had breakfast with Kayden, Carter, Andrew. I ate cereals.\",\"I had breakfast with Kayden, Carter, Andrew. I ate cereals.\"\n5637,2011/09/01,I ate sushi for lunch.,I ate sushi for lunch.\n5638,2011/09/01,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n5639,2011/09/01,\"I spent 55 talking to Lydia, Piper, Avery on various topics late in the evening.\",\"I spent 55 talking to Lydia, Piper, Avery on various topics late in the evening.\"\n5640,2011/09/01,I talked to Hazel for 26 minutes during lunch hours.,I talked to Hazel for 26 minutes during lunch hours.\n5641,2011/09/01,\"I spent 20 talking to Avery, Hazel, Rylee, Lydia on various topics in the morning.\",\"I spent 20 talking to Avery, Hazel, Rylee, Lydia on various topics in the morning.\"\n5642,2011/09/01,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n5643,2011/09/01,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n5644,2011/09/02,I did weight lifting on 2011/09/02.,I did weight lifting on 2011/09/02.\n5645,2011/09/02,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n5646,2011/09/02,I ate tacos for lunch.,I ate tacos for lunch.\n5647,2011/09/02,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n5648,2011/09/02,\"I spent 36 talking to Nora, Eva, Piper on various topics in the early afternoon.\",\"I spent 36 talking to Nora, Eva, Piper on various topics in the early afternoon.\"\n5649,2011/09/02,I talked to Kinsley for 35 minutes during lunch hours.,I talked to Kinsley for 35 minutes during lunch hours.\n5650,2011/09/02,I talked to Eva for 37 minutes in the early evening.,I talked to Eva for 37 minutes in the early evening.\n5651,2011/09/02,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n5652,2011/09/02,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n5653,2011/09/03,I had peanut-butter-jam for breakfast with Kayden,I had peanut-butter-jam for breakfast with Kayden\n5654,2011/09/03,I prepare indian food for lunch.,I prepare indian food for lunch.\n5655,2011/09/03,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n5656,2011/09/03,\"I spent 42 talking to Nevaeh, Hazel, Layla on various topics in the early evening.\",\"I spent 42 talking to Nevaeh, Hazel, Layla on various topics in the early evening.\"\n5657,2011/09/03,I spent 37 talking to Hazel on various topics in the early afternoon.,I spent 37 talking to Hazel on various topics in the early afternoon.\n5658,2011/09/03,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n5659,2011/09/03,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n5660,2011/09/04,I did swimming on 2011/09/04.,I did swimming on 2011/09/04.\n5661,2011/09/04,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n5662,2011/09/04,\"I had tacos for lunch with Andrew, Emily, Kayden, Carter\",\"I had tacos for lunch with Andrew, Emily, Kayden, Carter\"\n5663,2011/09/04,\"I had fish and chips for dinner with Carter, Emily, Andrew\",\"I had fish and chips for dinner with Carter, Emily, Andrew\"\n5664,2011/09/04,\"I talked to Rylee, Kinsley, Piper for 5 minutes in the early evening.\",\"I talked to Rylee, Kinsley, Piper for 5 minutes in the early evening.\"\n5665,2011/09/04,\"I talked to Olivia, Piper for 19 minutes in the early evening.\",\"I talked to Olivia, Piper for 19 minutes in the early evening.\"\n5666,2011/09/04,I talked to Avery for 48 minutes in the morning.,I talked to Avery for 48 minutes in the morning.\n5667,2011/09/04,I spent 40 talking to Avery on various topics late in the evening.,I spent 40 talking to Avery on various topics late in the evening.\n5668,2011/09/04,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n5669,2011/09/04,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n5670,2011/09/05,I did biking on 2011/09/05.,I did biking on 2011/09/05.\n5671,2011/09/05,\"I had breakfast with Emily, Kayden, Carter. I ate oatmeal.\",\"I had breakfast with Emily, Kayden, Carter. I ate oatmeal.\"\n5672,2011/09/05,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n5673,2011/09/05,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n5674,2011/09/05,\"I spent 47 talking to Claire, Piper, Nevaeh, Hazel on various topics late in the evening.\",\"I spent 47 talking to Claire, Piper, Nevaeh, Hazel on various topics late in the evening.\"\n5675,2011/09/05,I talked to Avery for 9 minutes in the early afternoon.,I talked to Avery for 9 minutes in the early afternoon.\n5676,2011/09/05,\"I talked to Lydia, Claire, Piper, Kinsley for 31 minutes in the late afternoon.\",\"I talked to Lydia, Claire, Piper, Kinsley for 31 minutes in the late afternoon.\"\n5677,2011/09/05,I talked to Lydia for 19 minutes in the early afternoon.,I talked to Lydia for 19 minutes in the early afternoon.\n5678,2011/09/05,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n5679,2011/09/05,I watched news for 40 minutes on TV today.,I watched news for 40 minutes on TV today.\n5680,2011/09/06,I did biking on 2011/09/06.,I did biking on 2011/09/06.\n5681,2011/09/06,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n5682,2011/09/06,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n5683,2011/09/06,\"I had dinner with Piper, Lydia, Eva, Nevaeh, Nora, Layla, Rylee, Claire, Hazel, Piper, Olivia, Avery. I ate chinese food.\",\"I had dinner with Piper, Lydia, Eva, Nevaeh, Nora, Layla, Rylee, Claire, Hazel, Piper, Olivia, Avery. I ate chinese food.\"\n5684,2011/09/06,\"I talked to Rylee, Avery, Nora, Nevaeh for 55 minutes late in the evening.\",\"I talked to Rylee, Avery, Nora, Nevaeh for 55 minutes late in the evening.\"\n5685,2011/09/06,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n5686,2011/09/06,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n5687,2011/09/07,I did running on 2011/09/07.,I did running on 2011/09/07.\n5688,2011/09/07,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n5689,2011/09/07,\"I had sandwich for lunch with Jackson, Benjamin\",\"I had sandwich for lunch with Jackson, Benjamin\"\n5690,2011/09/07,I ate a burger for dinner.,I ate a burger for dinner.\n5691,2011/09/07,\"I talked to Piper, Nevaeh for 18 minutes in the early evening.\",\"I talked to Piper, Nevaeh for 18 minutes in the early evening.\"\n5692,2011/09/07,\"I spent 31 talking to Lydia, Rylee, Avery, Piper on various topics in the morning.\",\"I spent 31 talking to Lydia, Rylee, Avery, Piper on various topics in the morning.\"\n5693,2011/09/07,\"I spent 37 talking to Avery, Lydia, Layla, Rylee on various topics in the early evening.\",\"I spent 37 talking to Avery, Lydia, Layla, Rylee on various topics in the early evening.\"\n5694,2011/09/07,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n5695,2011/09/07,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n5696,2011/09/08,\"I went grocery shopping. I bought some guava, apricots, soda, pineapple juice, and body lotion, facial wash\",\"I went grocery shopping. I bought some guava, apricots, soda, pineapple juice, and body lotion, facial wash\"\n5697,2011/09/08,I did hiking on 2011/09/08.,I did hiking on 2011/09/08.\n5698,2011/09/08,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n5699,2011/09/08,\"I had fish and chips for lunch with Rylee, Claire, Piper, Lydia, Hazel, Avery, Nevaeh\",\"I had fish and chips for lunch with Rylee, Claire, Piper, Lydia, Hazel, Avery, Nevaeh\"\n5700,2011/09/08,\"I had indian food for dinner with Rylee, Nevaeh, Hazel, Nora\",\"I had indian food for dinner with Rylee, Nevaeh, Hazel, Nora\"\n5701,2011/09/08,\"I spent 33 talking to Lydia, Piper on various topics in the late afternoon.\",\"I spent 33 talking to Lydia, Piper on various topics in the late afternoon.\"\n5702,2011/09/08,\"I talked to Piper, Nevaeh, Claire for 52 minutes during lunch hours.\",\"I talked to Piper, Nevaeh, Claire for 52 minutes during lunch hours.\"\n5703,2011/09/08,\"I spent 9 talking to Olivia, Piper, Nora, Kinsley on various topics during lunch hours.\",\"I spent 9 talking to Olivia, Piper, Nora, Kinsley on various topics during lunch hours.\"\n5704,2011/09/08,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n5705,2011/09/08,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n5706,2011/09/09,I spent time gardening on 2011/09/09 with Kinsley.,I spent time gardening on 2011/09/09 with Kinsley.\n5707,2011/09/09,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n5708,2011/09/09,\"I had indian food for lunch with Hazel, Piper, Layla, Avery, Kinsley, Piper\",\"I had indian food for lunch with Hazel, Piper, Layla, Avery, Kinsley, Piper\"\n5709,2011/09/09,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n5710,2011/09/09,\"I talked to Lydia, Layla, Claire for 26 minutes in the late afternoon.\",\"I talked to Lydia, Layla, Claire for 26 minutes in the late afternoon.\"\n5711,2011/09/09,I spent 5 talking to Piper on various topics in the late afternoon.,I spent 5 talking to Piper on various topics in the late afternoon.\n5712,2011/09/09,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n5713,2011/09/09,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n5714,2011/09/10,I did HIIT on 2011/09/10.,I did HIIT on 2011/09/10.\n5715,2011/09/10,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n5716,2011/09/10,I had lunch with Andrew. I ate sushi.,I had lunch with Andrew. I ate sushi.\n5717,2011/09/10,I ate sushi for dinner.,I ate sushi for dinner.\n5718,2011/09/10,\"I spent 37 talking to Piper, Layla, Avery, Olivia on various topics in the morning.\",\"I spent 37 talking to Piper, Layla, Avery, Olivia on various topics in the morning.\"\n5719,2011/09/10,\"I spent 36 talking to Rylee, Eva, Hazel on various topics during lunch hours.\",\"I spent 36 talking to Rylee, Eva, Hazel on various topics during lunch hours.\"\n5720,2011/09/10,I talked to Hazel for 44 minutes in the early evening.,I talked to Hazel for 44 minutes in the early evening.\n5721,2011/09/10,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n5722,2011/09/10,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n5723,2011/09/11,\"I bought some peaches, blackberries, chocolate milk, soda, coffee, orange juice, toilet paper, mouth wash, toothbrush, paper towel from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\",\"I bought some peaches, blackberries, chocolate milk, soda, coffee, orange juice, toilet paper, mouth wash, toothbrush, paper towel from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\"\n5724,2011/09/11,I did biking on 2011/09/11.,I did biking on 2011/09/11.\n5725,2011/09/11,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n5726,2011/09/11,I ate indian food for lunch.,I ate indian food for lunch.\n5727,2011/09/11,\"I had dinner with Piper, Layla, Hazel, Piper, Claire, Olivia. I ate sushi.\",\"I had dinner with Piper, Layla, Hazel, Piper, Claire, Olivia. I ate sushi.\"\n5728,2011/09/11,\"I talked to Hazel, Avery for 39 minutes in the early afternoon.\",\"I talked to Hazel, Avery for 39 minutes in the early afternoon.\"\n5729,2011/09/11,\"I talked to Nevaeh, Piper, Avery for 19 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Avery for 19 minutes in the early afternoon.\"\n5730,2011/09/11,I talked to Nevaeh for 39 minutes in the early afternoon.,I talked to Nevaeh for 39 minutes in the early afternoon.\n5731,2011/09/11,\"I spent 16 talking to Piper, Nora, Kinsley on various topics in the morning.\",\"I spent 16 talking to Piper, Nora, Kinsley on various topics in the morning.\"\n5732,2011/09/11,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n5733,2011/09/11,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n5734,2011/09/12,I went on a date with Wesley on 2011/09/12 at a restaurant,I went on a date with Wesley on 2011/09/12 at a restaurant\n5735,2011/09/12,I did HIIT on 2011/09/12.,I did HIIT on 2011/09/12.\n5736,2011/09/12,\"I had breakfast with Kinsley, Nora, Piper, Avery. I ate toast and cheese.\",\"I had breakfast with Kinsley, Nora, Piper, Avery. I ate toast and cheese.\"\n5737,2011/09/12,I ate pasta for lunch.,I ate pasta for lunch.\n5738,2011/09/12,I had dinner with Emily. I ate indian food.,I had dinner with Emily. I ate indian food.\n5739,2011/09/12,\"I talked to Hazel, Olivia, Nora for 16 minutes in the early afternoon.\",\"I talked to Hazel, Olivia, Nora for 16 minutes in the early afternoon.\"\n5740,2011/09/12,I talked to Eva for 49 minutes in the early evening.,I talked to Eva for 49 minutes in the early evening.\n5741,2011/09/12,\"I talked to Olivia, Piper, Kinsley for 6 minutes in the morning.\",\"I talked to Olivia, Piper, Kinsley for 6 minutes in the morning.\"\n5742,2011/09/12,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n5743,2011/09/12,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n5744,2011/09/13,I did running on 2011/09/13.,I did running on 2011/09/13.\n5745,2011/09/13,\"I had breakfast with Avery, Willow, Benjamin. I ate cereals.\",\"I had breakfast with Avery, Willow, Benjamin. I ate cereals.\"\n5746,2011/09/13,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n5747,2011/09/13,\"I had steak for dinner with Kayden, Andrew\",\"I had steak for dinner with Kayden, Andrew\"\n5748,2011/09/13,\"I talked to Piper, Layla, Nevaeh for 27 minutes in the late afternoon.\",\"I talked to Piper, Layla, Nevaeh for 27 minutes in the late afternoon.\"\n5749,2011/09/13,\"I talked to Rylee, Avery, Lydia, Kinsley for 34 minutes during lunch hours.\",\"I talked to Rylee, Avery, Lydia, Kinsley for 34 minutes during lunch hours.\"\n5750,2011/09/13,\"I spent 24 talking to Claire, Kinsley, Hazel on various topics late in the evening.\",\"I spent 24 talking to Claire, Kinsley, Hazel on various topics late in the evening.\"\n5751,2011/09/13,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n5752,2011/09/13,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n5753,2011/09/14,I went on a date with Leilani on 2011/09/14 at a boba shop,I went on a date with Leilani on 2011/09/14 at a boba shop\n5754,2011/09/14,I did swimming on 2011/09/14.,I did swimming on 2011/09/14.\n5755,2011/09/14,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n5756,2011/09/14,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n5757,2011/09/14,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n5758,2011/09/14,\"I spent 41 talking to Olivia, Hazel, Rylee, Piper on various topics late in the evening.\",\"I spent 41 talking to Olivia, Hazel, Rylee, Piper on various topics late in the evening.\"\n5759,2011/09/14,\"I spent 46 talking to Nora, Piper, Lydia on various topics during lunch hours.\",\"I spent 46 talking to Nora, Piper, Lydia on various topics during lunch hours.\"\n5760,2011/09/14,I spent 15 talking to Rylee on various topics late in the evening.,I spent 15 talking to Rylee on various topics late in the evening.\n5761,2011/09/14,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n5762,2011/09/14,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n5763,2011/09/15,\"I went grocery shopping with Kayden, Emily, Andrew, Carter. I bought some peaches, milk, sports drinks, and toothpaste\",\"I went grocery shopping with Kayden, Emily, Andrew, Carter. I bought some peaches, milk, sports drinks, and toothpaste\"\n5764,2011/09/15,I did running on 2011/09/15.,I did running on 2011/09/15.\n5765,2011/09/15,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n5766,2011/09/15,I prepare a burger for lunch.,I prepare a burger for lunch.\n5767,2011/09/15,\"I had dinner with Lydia, Piper, Piper, Avery, Claire. I ate tacos.\",\"I had dinner with Lydia, Piper, Piper, Avery, Claire. I ate tacos.\"\n5768,2011/09/15,I talked to Olivia for 39 minutes in the morning.,I talked to Olivia for 39 minutes in the morning.\n5769,2011/09/15,\"I spent 5 talking to Kinsley, Piper, Layla, Lydia on various topics late in the evening.\",\"I spent 5 talking to Kinsley, Piper, Layla, Lydia on various topics late in the evening.\"\n5770,2011/09/15,\"I spent 43 talking to Nevaeh, Rylee, Olivia, Eva on various topics in the late afternoon.\",\"I spent 43 talking to Nevaeh, Rylee, Olivia, Eva on various topics in the late afternoon.\"\n5771,2011/09/15,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n5772,2011/09/15,I spent 46 minutes watching a movie on TV today.,I spent 46 minutes watching a movie on TV today.\n5773,2011/09/16,I did biking on 2011/09/16.,I did biking on 2011/09/16.\n5774,2011/09/16,\"I had toast and cheese for breakfast with Benjamin, Jackson, Avery, Willow\",\"I had toast and cheese for breakfast with Benjamin, Jackson, Avery, Willow\"\n5775,2011/09/16,I ate a burger for lunch.,I ate a burger for lunch.\n5776,2011/09/16,\"I had sushi for dinner with Carter, Andrew, Emily\",\"I had sushi for dinner with Carter, Andrew, Emily\"\n5777,2011/09/16,\"I talked to Lydia, Avery, Eva, Nevaeh for 51 minutes during lunch hours.\",\"I talked to Lydia, Avery, Eva, Nevaeh for 51 minutes during lunch hours.\"\n5778,2011/09/16,I spent 55 talking to Nevaeh on various topics in the early evening.,I spent 55 talking to Nevaeh on various topics in the early evening.\n5779,2011/09/16,\"I talked to Nevaeh, Piper, Hazel for 12 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Hazel for 12 minutes in the late afternoon.\"\n5780,2011/09/16,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n5781,2011/09/16,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n5782,2011/09/17,I did biking on 2011/09/17.,I did biking on 2011/09/17.\n5783,2011/09/17,\"I had pancakes for breakfast with Carter, Emily\",\"I had pancakes for breakfast with Carter, Emily\"\n5784,2011/09/17,\"I had lunch with Kayden, Emily. I ate a burger.\",\"I had lunch with Kayden, Emily. I ate a burger.\"\n5785,2011/09/17,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n5786,2011/09/17,I spent 34 talking to Piper on various topics late in the evening.,I spent 34 talking to Piper on various topics late in the evening.\n5787,2011/09/17,I talked to Nora for 24 minutes in the late afternoon.,I talked to Nora for 24 minutes in the late afternoon.\n5788,2011/09/17,I spent 23 talking to Rylee on various topics in the late afternoon.,I spent 23 talking to Rylee on various topics in the late afternoon.\n5789,2011/09/17,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n5790,2011/09/17,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n5791,2011/09/18,I did weight lifting on 2011/09/18.,I did weight lifting on 2011/09/18.\n5792,2011/09/18,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5793,2011/09/18,I ate a burger for lunch.,I ate a burger for lunch.\n5794,2011/09/18,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n5795,2011/09/18,\"I spent 35 talking to Layla, Olivia on various topics during lunch hours.\",\"I spent 35 talking to Layla, Olivia on various topics during lunch hours.\"\n5796,2011/09/18,I spent 25 talking to Layla on various topics in the early afternoon.,I spent 25 talking to Layla on various topics in the early afternoon.\n5797,2011/09/18,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n5798,2011/09/18,I spent 39 minutes watching a tv series on TV today.,I spent 39 minutes watching a tv series on TV today.\n5799,2011/09/19,I went on a date with Jonathan on 2011/09/19 at a park,I went on a date with Jonathan on 2011/09/19 at a park\n5800,2011/09/19,I spent some time learning a language on 2011/09/19.,I spent some time learning a language on 2011/09/19.\n5801,2011/09/19,\"I bought some clementines, oranges, soda, shampoo, facial wash, body lotion from the grocery store. I saw Kayden, Carter, Andrew, Emily at the grocery store.\",\"I bought some clementines, oranges, soda, shampoo, facial wash, body lotion from the grocery store. I saw Kayden, Carter, Andrew, Emily at the grocery store.\"\n5802,2011/09/19,I did weight lifting on 2011/09/19.,I did weight lifting on 2011/09/19.\n5803,2011/09/19,\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate peanut-butter-jam.\"\n5804,2011/09/19,\"I had a burger for lunch with Rylee, Claire, Nevaeh, Eva, Lydia, Piper, Avery, Olivia\",\"I had a burger for lunch with Rylee, Claire, Nevaeh, Eva, Lydia, Piper, Avery, Olivia\"\n5805,2011/09/19,I had dinner. I ate steak.,I had dinner. I ate steak.\n5806,2011/09/19,I spent 29 talking to Nora on various topics in the morning.,I spent 29 talking to Nora on various topics in the morning.\n5807,2011/09/19,I spent 27 talking to Olivia on various topics in the early evening.,I spent 27 talking to Olivia on various topics in the early evening.\n5808,2011/09/19,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n5809,2011/09/19,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n5810,2011/09/20,I spent time learning a language on 2011/09/20 with Olivia.,I spent time learning a language on 2011/09/20 with Olivia.\n5811,2011/09/20,I did weight lifting on 2011/09/20.,I did weight lifting on 2011/09/20.\n5812,2011/09/20,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n5813,2011/09/20,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n5814,2011/09/20,I ate sushi for dinner.,I ate sushi for dinner.\n5815,2011/09/20,\"I spent 52 talking to Layla, Rylee, Nora, Hazel on various topics in the early evening.\",\"I spent 52 talking to Layla, Rylee, Nora, Hazel on various topics in the early evening.\"\n5816,2011/09/20,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n5817,2011/09/20,I watched a tv series for 46 minutes on TV today.,I watched a tv series for 46 minutes on TV today.\n5818,2011/09/21,I did running on 2011/09/21.,I did running on 2011/09/21.\n5819,2011/09/21,\"I had cereals for breakfast with Claire, Olivia, Nora, Rylee, Eva, Piper, Kinsley, Hazel, Piper, Layla\",\"I had cereals for breakfast with Claire, Olivia, Nora, Rylee, Eva, Piper, Kinsley, Hazel, Piper, Layla\"\n5820,2011/09/21,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n5821,2011/09/21,\"I had tacos for dinner with Nora, Piper, Piper, Avery, Nevaeh, Eva, Hazel, Olivia, Kinsley, Layla\",\"I had tacos for dinner with Nora, Piper, Piper, Avery, Nevaeh, Eva, Hazel, Olivia, Kinsley, Layla\"\n5822,2011/09/21,\"I spent 52 talking to Nora, Eva, Olivia on various topics in the morning.\",\"I spent 52 talking to Nora, Eva, Olivia on various topics in the morning.\"\n5823,2011/09/21,I spent 22 talking to Rylee on various topics during lunch hours.,I spent 22 talking to Rylee on various topics during lunch hours.\n5824,2011/09/21,\"I talked to Lydia, Nora, Eva, Claire for 17 minutes in the early evening.\",\"I talked to Lydia, Nora, Eva, Claire for 17 minutes in the early evening.\"\n5825,2011/09/21,\"I talked to Avery, Hazel for 9 minutes late in the evening.\",\"I talked to Avery, Hazel for 9 minutes late in the evening.\"\n5826,2011/09/21,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n5827,2011/09/21,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n5828,2011/09/22,I went on a date with Parker on 2011/09/22 at a boba shop,I went on a date with Parker on 2011/09/22 at a boba shop\n5829,2011/09/22,\"I went grocery shopping with Hazel, Layla, Piper, Olivia, Eva, Avery, Nora. I bought some blackberries, blueberries, strawberries, mineral water, milk, and shampoo, mouthwash\",\"I went grocery shopping with Hazel, Layla, Piper, Olivia, Eva, Avery, Nora. I bought some blackberries, blueberries, strawberries, mineral water, milk, and shampoo, mouthwash\"\n5830,2011/09/22,I did hiking on 2011/09/22.,I did hiking on 2011/09/22.\n5831,2011/09/22,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n5832,2011/09/22,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n5833,2011/09/22,I prepare tacos for dinner.,I prepare tacos for dinner.\n5834,2011/09/22,I talked to Kinsley for 39 minutes late in the evening.,I talked to Kinsley for 39 minutes late in the evening.\n5835,2011/09/22,\"I talked to Nevaeh, Lydia for 37 minutes in the early evening.\",\"I talked to Nevaeh, Lydia for 37 minutes in the early evening.\"\n5836,2011/09/22,\"I spent 6 talking to Claire, Layla, Olivia on various topics in the late afternoon.\",\"I spent 6 talking to Claire, Layla, Olivia on various topics in the late afternoon.\"\n5837,2011/09/22,I spent 25 talking to Piper on various topics in the early evening.,I spent 25 talking to Piper on various topics in the early evening.\n5838,2011/09/22,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n5839,2011/09/22,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n5840,2011/09/23,I did hiking on 2011/09/23.,I did hiking on 2011/09/23.\n5841,2011/09/23,\"I had breakfast with Claire, Piper, Hazel, Kinsley, Olivia, Lydia, Eva, Avery. I ate cereals.\",\"I had breakfast with Claire, Piper, Hazel, Kinsley, Olivia, Lydia, Eva, Avery. I ate cereals.\"\n5842,2011/09/23,I had lunch with Avery. I ate a burger.,I had lunch with Avery. I ate a burger.\n5843,2011/09/23,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n5844,2011/09/23,\"I talked to Olivia, Nora, Claire, Avery for 34 minutes in the late afternoon.\",\"I talked to Olivia, Nora, Claire, Avery for 34 minutes in the late afternoon.\"\n5845,2011/09/23,I spent 32 talking to Piper on various topics in the early evening.,I spent 32 talking to Piper on various topics in the early evening.\n5846,2011/09/23,\"I talked to Piper, Piper for 54 minutes in the early afternoon.\",\"I talked to Piper, Piper for 54 minutes in the early afternoon.\"\n5847,2011/09/23,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n5848,2011/09/23,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n5849,2011/09/24,I really enjoyed working out on 2011/09/24,I really enjoyed working out on 2011/09/24\n5850,2011/09/24,I did swimming on 2011/09/24.,I did swimming on 2011/09/24.\n5851,2011/09/24,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n5852,2011/09/24,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n5853,2011/09/24,\"I had dinner with Andrew, Carter. I ate sandwich.\",\"I had dinner with Andrew, Carter. I ate sandwich.\"\n5854,2011/09/24,I spent 17 talking to Claire on various topics in the morning.,I spent 17 talking to Claire on various topics in the morning.\n5855,2011/09/24,\"I spent 11 talking to Layla, Eva, Claire, Piper on various topics in the morning.\",\"I spent 11 talking to Layla, Eva, Claire, Piper on various topics in the morning.\"\n5856,2011/09/24,\"I spent 51 talking to Rylee, Claire, Hazel, Nevaeh on various topics in the morning.\",\"I spent 51 talking to Rylee, Claire, Hazel, Nevaeh on various topics in the morning.\"\n5857,2011/09/24,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n5858,2011/09/24,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n5859,2011/09/25,I did swimming on 2011/09/25.,I did swimming on 2011/09/25.\n5860,2011/09/25,\"I had oatmeal for breakfast with Avery, Benjamin, Willow\",\"I had oatmeal for breakfast with Avery, Benjamin, Willow\"\n5861,2011/09/25,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n5862,2011/09/25,I had dinner. I ate steak.,I had dinner. I ate steak.\n5863,2011/09/25,\"I talked to Avery, Layla, Rylee for 20 minutes in the late afternoon.\",\"I talked to Avery, Layla, Rylee for 20 minutes in the late afternoon.\"\n5864,2011/09/25,\"I spent 10 talking to Olivia, Piper on various topics in the early afternoon.\",\"I spent 10 talking to Olivia, Piper on various topics in the early afternoon.\"\n5865,2011/09/25,I spent 51 talking to Nevaeh on various topics during lunch hours.,I spent 51 talking to Nevaeh on various topics during lunch hours.\n5866,2011/09/25,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n5867,2011/09/25,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n5868,2011/09/26,\"I bought some blueberries, strawberries, pears, apricots, soda, mouth wash, conditioner, toothbrush online.\",\"I bought some blueberries, strawberries, pears, apricots, soda, mouth wash, conditioner, toothbrush online.\"\n5869,2011/09/26,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n5870,2011/09/26,\"I had chinese food for lunch with Olivia, Rylee, Lydia, Claire\",\"I had chinese food for lunch with Olivia, Rylee, Lydia, Claire\"\n5871,2011/09/26,I ate sushi for dinner.,I ate sushi for dinner.\n5872,2011/09/26,\"I spent 49 talking to Rylee, Avery, Olivia, Eva on various topics during lunch hours.\",\"I spent 49 talking to Rylee, Avery, Olivia, Eva on various topics during lunch hours.\"\n5873,2011/09/26,I spent 40 talking to Rylee on various topics in the early evening.,I spent 40 talking to Rylee on various topics in the early evening.\n5874,2011/09/26,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n5875,2011/09/26,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n5876,2011/09/27,I did running on 2011/09/27.,I did running on 2011/09/27.\n5877,2011/09/27,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n5878,2011/09/27,I prepare steak for lunch.,I prepare steak for lunch.\n5879,2011/09/27,I prepare pasta for dinner.,I prepare pasta for dinner.\n5880,2011/09/27,\"I talked to Avery, Kinsley, Rylee for 43 minutes in the early evening.\",\"I talked to Avery, Kinsley, Rylee for 43 minutes in the early evening.\"\n5881,2011/09/27,\"I spent 7 talking to Piper, Eva, Hazel on various topics in the early evening.\",\"I spent 7 talking to Piper, Eva, Hazel on various topics in the early evening.\"\n5882,2011/09/27,I talked to Avery for 24 minutes in the early evening.,I talked to Avery for 24 minutes in the early evening.\n5883,2011/09/27,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n5884,2011/09/27,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n5885,2011/09/28,\"On 2011/09/28, I took Dylan on a date to a boba shop\",\"On 2011/09/28, I took Dylan on a date to a boba shop\"\n5886,2011/09/28,I did swimming on 2011/09/28.,I did swimming on 2011/09/28.\n5887,2011/09/28,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n5888,2011/09/28,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n5889,2011/09/28,I ate sandwich for dinner.,I ate sandwich for dinner.\n5890,2011/09/28,I talked to Rylee for 55 minutes in the early afternoon.,I talked to Rylee for 55 minutes in the early afternoon.\n5891,2011/09/28,I talked to Piper for 24 minutes in the late afternoon.,I talked to Piper for 24 minutes in the late afternoon.\n5892,2011/09/28,\"I spent 17 talking to Piper, Nora, Eva on various topics in the early evening.\",\"I spent 17 talking to Piper, Nora, Eva on various topics in the early evening.\"\n5893,2011/09/28,\"I talked to Lydia, Olivia, Piper for 31 minutes during lunch hours.\",\"I talked to Lydia, Olivia, Piper for 31 minutes during lunch hours.\"\n5894,2011/09/28,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n5895,2011/09/28,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n5896,2011/09/29,I did swimming on 2011/09/29.,I did swimming on 2011/09/29.\n5897,2011/09/29,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n5898,2011/09/29,\"I had lunch with Avery, Willow, Benjamin. I ate a burger.\",\"I had lunch with Avery, Willow, Benjamin. I ate a burger.\"\n5899,2011/09/29,I ate pasta for dinner.,I ate pasta for dinner.\n5900,2011/09/29,I spent 48 talking to Layla on various topics in the morning.,I spent 48 talking to Layla on various topics in the morning.\n5901,2011/09/29,I talked to Avery for 37 minutes in the early evening.,I talked to Avery for 37 minutes in the early evening.\n5902,2011/09/29,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n5903,2011/09/29,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n5904,2011/09/30,\"I went grocery shopping with Kinsley, Avery, Nora. I bought some blueberries, apples, sports drinks, soda, and toothbrush, facial wash, toilet paper, body lotion\",\"I went grocery shopping with Kinsley, Avery, Nora. I bought some blueberries, apples, sports drinks, soda, and toothbrush, facial wash, toilet paper, body lotion\"\n5905,2011/09/30,I did running on 2011/09/30.,I did running on 2011/09/30.\n5906,2011/09/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n5907,2011/09/30,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n5908,2011/09/30,I prepare pasta for dinner.,I prepare pasta for dinner.\n5909,2011/09/30,\"I talked to Eva, Layla for 49 minutes in the early evening.\",\"I talked to Eva, Layla for 49 minutes in the early evening.\"\n5910,2011/09/30,I spent 9 talking to Eva on various topics in the late afternoon.,I spent 9 talking to Eva on various topics in the late afternoon.\n5911,2011/09/30,\"I spent 39 talking to Rylee, Layla, Eva, Olivia on various topics late in the evening.\",\"I spent 39 talking to Rylee, Layla, Eva, Olivia on various topics late in the evening.\"\n5912,2011/09/30,\"I talked to Layla, Lydia for 23 minutes in the early afternoon.\",\"I talked to Layla, Lydia for 23 minutes in the early afternoon.\"\n5913,2011/09/30,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n5914,2011/09/30,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n5915,2011/10/01,I did running on 2011/10/01.,I did running on 2011/10/01.\n5916,2011/10/01,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n5917,2011/10/01,\"I had sushi for lunch with Eva, Claire, Kinsley, Avery, Lydia, Piper, Piper, Rylee, Layla\",\"I had sushi for lunch with Eva, Claire, Kinsley, Avery, Lydia, Piper, Piper, Rylee, Layla\"\n5918,2011/10/01,I prepare indian food for dinner.,I prepare indian food for dinner.\n5919,2011/10/01,\"I spent 6 talking to Olivia, Lydia, Rylee on various topics late in the evening.\",\"I spent 6 talking to Olivia, Lydia, Rylee on various topics late in the evening.\"\n5920,2011/10/01,\"I talked to Eva, Hazel, Nora for 28 minutes during lunch hours.\",\"I talked to Eva, Hazel, Nora for 28 minutes during lunch hours.\"\n5921,2011/10/01,\"I spent 25 talking to Lydia, Claire on various topics in the late afternoon.\",\"I spent 25 talking to Lydia, Claire on various topics in the late afternoon.\"\n5922,2011/10/01,\"I talked to Piper, Hazel, Avery, Nevaeh for 36 minutes late in the evening.\",\"I talked to Piper, Hazel, Avery, Nevaeh for 36 minutes late in the evening.\"\n5923,2011/10/01,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n5924,2011/10/01,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n5925,2011/10/02,I went on a date with Nolan on 2011/10/02 at a park,I went on a date with Nolan on 2011/10/02 at a park\n5926,2011/10/02,\"I went grocery shopping. I bought some watermelons, guava, bananas, oranges, tea, milk, orange juice, guava juice, and conditioner, mouthwash, toothbrush\",\"I went grocery shopping. I bought some watermelons, guava, bananas, oranges, tea, milk, orange juice, guava juice, and conditioner, mouthwash, toothbrush\"\n5927,2011/10/02,I did swimming on 2011/10/02.,I did swimming on 2011/10/02.\n5928,2011/10/02,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n5929,2011/10/02,\"I had a burger for lunch with Carter, Andrew, Emily\",\"I had a burger for lunch with Carter, Andrew, Emily\"\n5930,2011/10/02,I prepare steak for dinner.,I prepare steak for dinner.\n5931,2011/10/02,\"I talked to Hazel, Piper for 27 minutes during lunch hours.\",\"I talked to Hazel, Piper for 27 minutes during lunch hours.\"\n5932,2011/10/02,\"I talked to Layla, Piper for 49 minutes in the late afternoon.\",\"I talked to Layla, Piper for 49 minutes in the late afternoon.\"\n5933,2011/10/02,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n5934,2011/10/02,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n5935,2011/10/03,I spent time working out on 2011/10/03 with Carter.,I spent time working out on 2011/10/03 with Carter.\n5936,2011/10/03,I did hiking on 2011/10/03.,I did hiking on 2011/10/03.\n5937,2011/10/03,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n5938,2011/10/03,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n5939,2011/10/03,\"I had dinner with Piper, Avery, Olivia. I ate a burger.\",\"I had dinner with Piper, Avery, Olivia. I ate a burger.\"\n5940,2011/10/03,\"I spent 19 talking to Layla, Rylee, Avery on various topics in the early afternoon.\",\"I spent 19 talking to Layla, Rylee, Avery on various topics in the early afternoon.\"\n5941,2011/10/03,I talked to Piper for 16 minutes in the early afternoon.,I talked to Piper for 16 minutes in the early afternoon.\n5942,2011/10/03,\"I talked to Layla, Rylee, Claire for 29 minutes in the early evening.\",\"I talked to Layla, Rylee, Claire for 29 minutes in the early evening.\"\n5943,2011/10/03,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n5944,2011/10/03,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n5945,2011/10/04,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n5946,2011/10/04,\"I had lunch with Willow, Jackson. I ate fish and chips.\",\"I had lunch with Willow, Jackson. I ate fish and chips.\"\n5947,2011/10/04,I prepare sushi for dinner.,I prepare sushi for dinner.\n5948,2011/10/04,\"I spent 52 talking to Lydia, Piper, Rylee, Hazel on various topics in the early evening.\",\"I spent 52 talking to Lydia, Piper, Rylee, Hazel on various topics in the early evening.\"\n5949,2011/10/04,\"I spent 51 talking to Rylee, Avery on various topics during lunch hours.\",\"I spent 51 talking to Rylee, Avery on various topics during lunch hours.\"\n5950,2011/10/04,\"I spent 51 talking to Layla, Piper on various topics in the early afternoon.\",\"I spent 51 talking to Layla, Piper on various topics in the early afternoon.\"\n5951,2011/10/04,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n5952,2011/10/04,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n5953,2011/10/05,I went on a date with Sofia on 2011/10/05 at a park,I went on a date with Sofia on 2011/10/05 at a park\n5954,2011/10/05,\"I bought some blackberries, nectarines, guava juice, tea, chocolate milk, mouth wash, toothpaste online.\",\"I bought some blackberries, nectarines, guava juice, tea, chocolate milk, mouth wash, toothpaste online.\"\n5955,2011/10/05,I did running on 2011/10/05.,I did running on 2011/10/05.\n5956,2011/10/05,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n5957,2011/10/05,I had lunch with Kayden. I ate sandwich.,I had lunch with Kayden. I ate sandwich.\n5958,2011/10/05,I had tacos for dinner with Jackson,I had tacos for dinner with Jackson\n5959,2011/10/05,\"I spent 32 talking to Eva, Olivia on various topics in the morning.\",\"I spent 32 talking to Eva, Olivia on various topics in the morning.\"\n5960,2011/10/05,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n5961,2011/10/05,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n5962,2011/10/06,I did HIIT on 2011/10/06.,I did HIIT on 2011/10/06.\n5963,2011/10/06,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5964,2011/10/06,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n5965,2011/10/06,\"I had dinner with Piper, Layla, Rylee, Kinsley. I ate steak.\",\"I had dinner with Piper, Layla, Rylee, Kinsley. I ate steak.\"\n5966,2011/10/06,\"I spent 38 talking to Layla, Olivia on various topics in the early afternoon.\",\"I spent 38 talking to Layla, Olivia on various topics in the early afternoon.\"\n5967,2011/10/06,I spent 11 talking to Nevaeh on various topics in the early evening.,I spent 11 talking to Nevaeh on various topics in the early evening.\n5968,2011/10/06,I spent 51 talking to Piper on various topics in the early evening.,I spent 51 talking to Piper on various topics in the early evening.\n5969,2011/10/06,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n5970,2011/10/06,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n5971,2011/10/07,I did biking on 2011/10/07.,I did biking on 2011/10/07.\n5972,2011/10/07,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n5973,2011/10/07,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n5974,2011/10/07,\"I had dinner with Emily, Andrew, Carter. I ate steak.\",\"I had dinner with Emily, Andrew, Carter. I ate steak.\"\n5975,2011/10/07,\"I spent 21 talking to Piper, Eva, Claire on various topics in the early afternoon.\",\"I spent 21 talking to Piper, Eva, Claire on various topics in the early afternoon.\"\n5976,2011/10/07,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n5977,2011/10/07,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n5978,2011/10/08,I did weight lifting on 2011/10/08.,I did weight lifting on 2011/10/08.\n5979,2011/10/08,\"I had breakfast with Claire, Kinsley. I ate cereals.\",\"I had breakfast with Claire, Kinsley. I ate cereals.\"\n5980,2011/10/08,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n5981,2011/10/08,I ate pasta for dinner.,I ate pasta for dinner.\n5982,2011/10/08,\"I talked to Nevaeh, Lydia, Layla for 11 minutes in the early evening.\",\"I talked to Nevaeh, Lydia, Layla for 11 minutes in the early evening.\"\n5983,2011/10/08,\"I talked to Eva, Nora for 41 minutes in the morning.\",\"I talked to Eva, Nora for 41 minutes in the morning.\"\n5984,2011/10/08,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n5985,2011/10/08,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n5986,2011/10/09,I did swimming on 2011/10/09.,I did swimming on 2011/10/09.\n5987,2011/10/09,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n5988,2011/10/09,\"I had lunch with Willow, Benjamin. I ate chinese food.\",\"I had lunch with Willow, Benjamin. I ate chinese food.\"\n5989,2011/10/09,I ate chinese food for dinner.,I ate chinese food for dinner.\n5990,2011/10/09,\"I talked to Eva, Claire, Lydia for 21 minutes during lunch hours.\",\"I talked to Eva, Claire, Lydia for 21 minutes during lunch hours.\"\n5991,2011/10/09,\"I talked to Eva, Olivia, Claire, Nora for 32 minutes in the late afternoon.\",\"I talked to Eva, Olivia, Claire, Nora for 32 minutes in the late afternoon.\"\n5992,2011/10/09,\"I spent 47 talking to Olivia, Piper, Eva, Claire on various topics in the early afternoon.\",\"I spent 47 talking to Olivia, Piper, Eva, Claire on various topics in the early afternoon.\"\n5993,2011/10/09,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n5994,2011/10/09,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n5995,2011/10/10,I did running on 2011/10/10.,I did running on 2011/10/10.\n5996,2011/10/10,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n5997,2011/10/10,I had lunch. I ate steak.,I had lunch. I ate steak.\n5998,2011/10/10,\"I had dinner with Rylee, Layla, Avery, Nora, Olivia, Lydia, Eva, Kinsley, Piper. I ate tacos.\",\"I had dinner with Rylee, Layla, Avery, Nora, Olivia, Lydia, Eva, Kinsley, Piper. I ate tacos.\"\n5999,2011/10/10,\"I spent 47 talking to Kinsley, Olivia, Piper on various topics in the early evening.\",\"I spent 47 talking to Kinsley, Olivia, Piper on various topics in the early evening.\"\n6000,2011/10/10,\"I spent 46 talking to Rylee, Layla, Eva, Hazel on various topics in the early evening.\",\"I spent 46 talking to Rylee, Layla, Eva, Hazel on various topics in the early evening.\"\n6001,2011/10/10,\"I talked to Rylee, Piper, Layla, Nevaeh for 35 minutes during lunch hours.\",\"I talked to Rylee, Piper, Layla, Nevaeh for 35 minutes during lunch hours.\"\n6002,2011/10/10,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n6003,2011/10/10,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n6004,2011/10/11,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n6005,2011/10/11,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n6006,2011/10/11,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n6007,2011/10/11,\"I spent 17 talking to Rylee, Avery, Claire, Kinsley on various topics in the early evening.\",\"I spent 17 talking to Rylee, Avery, Claire, Kinsley on various topics in the early evening.\"\n6008,2011/10/11,I spent 20 talking to Kinsley on various topics in the late afternoon.,I spent 20 talking to Kinsley on various topics in the late afternoon.\n6009,2011/10/11,\"I talked to Lydia, Piper for 13 minutes in the morning.\",\"I talked to Lydia, Piper for 13 minutes in the morning.\"\n6010,2011/10/11,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n6011,2011/10/11,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n6012,2011/10/12,I did hiking on 2011/10/12.,I did hiking on 2011/10/12.\n6013,2011/10/12,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n6014,2011/10/12,I ate steak for lunch.,I ate steak for lunch.\n6015,2011/10/12,\"I had dinner with Kayden, Emily, Carter, Andrew. I ate fish and chips.\",\"I had dinner with Kayden, Emily, Carter, Andrew. I ate fish and chips.\"\n6016,2011/10/12,\"I spent 22 talking to Claire, Hazel, Nora, Nevaeh on various topics late in the evening.\",\"I spent 22 talking to Claire, Hazel, Nora, Nevaeh on various topics late in the evening.\"\n6017,2011/10/12,\"I spent 29 talking to Piper, Piper on various topics during lunch hours.\",\"I spent 29 talking to Piper, Piper on various topics during lunch hours.\"\n6018,2011/10/12,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n6019,2011/10/12,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n6020,2011/10/13,\"I went grocery shopping with Carter, Andrew, Kayden. I bought some raspberries, cherres, clementines, bananas, apple juice, mineral water, and facial wash\",\"I went grocery shopping with Carter, Andrew, Kayden. I bought some raspberries, cherres, clementines, bananas, apple juice, mineral water, and facial wash\"\n6021,2011/10/13,I did HIIT on 2011/10/13.,I did HIIT on 2011/10/13.\n6022,2011/10/13,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n6023,2011/10/13,\"I had lunch with Emily, Andrew. I ate a burger.\",\"I had lunch with Emily, Andrew. I ate a burger.\"\n6024,2011/10/13,\"I had dinner with Lydia, Eva. I ate a burger.\",\"I had dinner with Lydia, Eva. I ate a burger.\"\n6025,2011/10/13,I spent 42 talking to Layla on various topics in the early evening.,I spent 42 talking to Layla on various topics in the early evening.\n6026,2011/10/13,\"I talked to Kinsley, Layla, Claire, Hazel for 47 minutes late in the evening.\",\"I talked to Kinsley, Layla, Claire, Hazel for 47 minutes late in the evening.\"\n6027,2011/10/13,\"I spent 45 talking to Rylee, Kinsley on various topics in the early evening.\",\"I spent 45 talking to Rylee, Kinsley on various topics in the early evening.\"\n6028,2011/10/13,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n6029,2011/10/13,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n6030,2011/10/14,I did hiking on 2011/10/14.,I did hiking on 2011/10/14.\n6031,2011/10/14,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n6032,2011/10/14,I ate sushi for lunch.,I ate sushi for lunch.\n6033,2011/10/14,I ate steak for dinner.,I ate steak for dinner.\n6034,2011/10/14,\"I spent 28 talking to Piper, Rylee, Nevaeh, Hazel on various topics during lunch hours.\",\"I spent 28 talking to Piper, Rylee, Nevaeh, Hazel on various topics during lunch hours.\"\n6035,2011/10/14,I talked to Nora for 47 minutes in the early afternoon.,I talked to Nora for 47 minutes in the early afternoon.\n6036,2011/10/14,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n6037,2011/10/14,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n6038,2011/10/15,I went on a date with Cameron on 2011/10/15 at a restaurant,I went on a date with Cameron on 2011/10/15 at a restaurant\n6039,2011/10/15,I did swimming on 2011/10/15.,I did swimming on 2011/10/15.\n6040,2011/10/15,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n6041,2011/10/15,I ate chinese food for lunch.,I ate chinese food for lunch.\n6042,2011/10/15,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n6043,2011/10/15,\"I spent 14 talking to Nora, Piper, Avery on various topics during lunch hours.\",\"I spent 14 talking to Nora, Piper, Avery on various topics during lunch hours.\"\n6044,2011/10/15,I spent 31 talking to Eva on various topics in the early evening.,I spent 31 talking to Eva on various topics in the early evening.\n6045,2011/10/15,\"I spent 30 talking to Hazel, Rylee, Kinsley on various topics in the late afternoon.\",\"I spent 30 talking to Hazel, Rylee, Kinsley on various topics in the late afternoon.\"\n6046,2011/10/15,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n6047,2011/10/15,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n6048,2011/10/16,\"I bought some blackberries, clementines, mineral water, mouthwash, facial wash, shaving cream from the grocery store. I saw Carter, Andrew, Kayden at the grocery store.\",\"I bought some blackberries, clementines, mineral water, mouthwash, facial wash, shaving cream from the grocery store. I saw Carter, Andrew, Kayden at the grocery store.\"\n6049,2011/10/16,I did weight lifting on 2011/10/16.,I did weight lifting on 2011/10/16.\n6050,2011/10/16,\"I had peanut-butter-jam for breakfast with Kayden, Carter, Emily, Andrew\",\"I had peanut-butter-jam for breakfast with Kayden, Carter, Emily, Andrew\"\n6051,2011/10/16,I ate a burger for lunch.,I ate a burger for lunch.\n6052,2011/10/16,I ate tacos for dinner.,I ate tacos for dinner.\n6053,2011/10/16,\"I spent 36 talking to Olivia, Rylee on various topics in the morning.\",\"I spent 36 talking to Olivia, Rylee on various topics in the morning.\"\n6054,2011/10/16,\"I talked to Claire, Eva for 45 minutes late in the evening.\",\"I talked to Claire, Eva for 45 minutes late in the evening.\"\n6055,2011/10/16,\"I spent 24 talking to Hazel, Layla, Rylee, Olivia on various topics in the morning.\",\"I spent 24 talking to Hazel, Layla, Rylee, Olivia on various topics in the morning.\"\n6056,2011/10/16,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n6057,2011/10/16,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n6058,2011/10/17,I did biking on 2011/10/17.,I did biking on 2011/10/17.\n6059,2011/10/17,\"I had breakfast with Emily, Carter, Kayden, Andrew. I ate cereals.\",\"I had breakfast with Emily, Carter, Kayden, Andrew. I ate cereals.\"\n6060,2011/10/17,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n6061,2011/10/17,I ate pasta for dinner.,I ate pasta for dinner.\n6062,2011/10/17,\"I talked to Piper, Avery, Layla for 14 minutes late in the evening.\",\"I talked to Piper, Avery, Layla for 14 minutes late in the evening.\"\n6063,2011/10/17,\"I spent 35 talking to Claire, Nevaeh, Nora on various topics in the late afternoon.\",\"I spent 35 talking to Claire, Nevaeh, Nora on various topics in the late afternoon.\"\n6064,2011/10/17,\"I spent 25 talking to Hazel, Avery, Piper on various topics in the late afternoon.\",\"I spent 25 talking to Hazel, Avery, Piper on various topics in the late afternoon.\"\n6065,2011/10/17,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n6066,2011/10/17,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n6067,2011/10/18,\"I bought some pears, guava, coffee, apple juice, paper towel, toothpaste, toothbrush, facial wash from the grocery store. I saw Kayden, Emily, Andrew at the grocery store.\",\"I bought some pears, guava, coffee, apple juice, paper towel, toothpaste, toothbrush, facial wash from the grocery store. I saw Kayden, Emily, Andrew at the grocery store.\"\n6068,2011/10/18,I did hiking on 2011/10/18.,I did hiking on 2011/10/18.\n6069,2011/10/18,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n6070,2011/10/18,I prepare sushi for lunch.,I prepare sushi for lunch.\n6071,2011/10/18,\"I had indian food for dinner with Claire, Layla, Lydia, Nevaeh, Nora, Piper, Piper, Olivia\",\"I had indian food for dinner with Claire, Layla, Lydia, Nevaeh, Nora, Piper, Piper, Olivia\"\n6072,2011/10/18,\"I spent 21 talking to Piper, Eva, Nevaeh, Nora on various topics in the early afternoon.\",\"I spent 21 talking to Piper, Eva, Nevaeh, Nora on various topics in the early afternoon.\"\n6073,2011/10/18,\"I talked to Olivia, Avery, Piper, Rylee for 30 minutes during lunch hours.\",\"I talked to Olivia, Avery, Piper, Rylee for 30 minutes during lunch hours.\"\n6074,2011/10/18,\"I spent 8 talking to Eva, Claire on various topics in the late afternoon.\",\"I spent 8 talking to Eva, Claire on various topics in the late afternoon.\"\n6075,2011/10/18,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n6076,2011/10/18,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n6077,2011/10/19,I did biking on 2011/10/19.,I did biking on 2011/10/19.\n6078,2011/10/19,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n6079,2011/10/19,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n6080,2011/10/19,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n6081,2011/10/19,I talked to Piper for 39 minutes in the early afternoon.,I talked to Piper for 39 minutes in the early afternoon.\n6082,2011/10/19,I talked to Nora for 14 minutes late in the evening.,I talked to Nora for 14 minutes late in the evening.\n6083,2011/10/19,\"I talked to Nevaeh, Layla, Piper, Rylee for 17 minutes in the late afternoon.\",\"I talked to Nevaeh, Layla, Piper, Rylee for 17 minutes in the late afternoon.\"\n6084,2011/10/19,\"I talked to Nora, Piper, Lydia, Olivia for 49 minutes during lunch hours.\",\"I talked to Nora, Piper, Lydia, Olivia for 49 minutes during lunch hours.\"\n6085,2011/10/19,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n6086,2011/10/19,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n6087,2011/10/20,\"I spent time meditation on 2011/10/20 with Kayden, Andrew, Carter.\",\"I spent time meditation on 2011/10/20 with Kayden, Andrew, Carter.\"\n6088,2011/10/20,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n6089,2011/10/20,\"I had chinese food for lunch with Hazel, Olivia, Piper, Piper, Layla, Lydia, Nora, Claire, Nevaeh, Kinsley\",\"I had chinese food for lunch with Hazel, Olivia, Piper, Piper, Layla, Lydia, Nora, Claire, Nevaeh, Kinsley\"\n6090,2011/10/20,\"I had sushi for dinner with Andrew, Emily, Kayden\",\"I had sushi for dinner with Andrew, Emily, Kayden\"\n6091,2011/10/20,I talked to Nevaeh for 8 minutes in the early afternoon.,I talked to Nevaeh for 8 minutes in the early afternoon.\n6092,2011/10/20,\"I talked to Claire, Nevaeh for 24 minutes in the late afternoon.\",\"I talked to Claire, Nevaeh for 24 minutes in the late afternoon.\"\n6093,2011/10/20,\"I talked to Avery, Hazel, Rylee for 27 minutes in the early evening.\",\"I talked to Avery, Hazel, Rylee for 27 minutes in the early evening.\"\n6094,2011/10/20,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n6095,2011/10/20,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n6096,2011/10/21,I did weight lifting on 2011/10/21.,I did weight lifting on 2011/10/21.\n6097,2011/10/21,\"I had cereals for breakfast with Andrew, Carter\",\"I had cereals for breakfast with Andrew, Carter\"\n6098,2011/10/21,I ate sushi for lunch.,I ate sushi for lunch.\n6099,2011/10/21,\"I had dinner with Piper, Kinsley, Hazel, Lydia, Olivia, Rylee, Layla, Nevaeh, Nora, Claire, Eva, Piper, Avery. I ate indian food.\",\"I had dinner with Piper, Kinsley, Hazel, Lydia, Olivia, Rylee, Layla, Nevaeh, Nora, Claire, Eva, Piper, Avery. I ate indian food.\"\n6100,2011/10/21,\"I talked to Piper, Nora, Avery, Olivia for 41 minutes in the late afternoon.\",\"I talked to Piper, Nora, Avery, Olivia for 41 minutes in the late afternoon.\"\n6101,2011/10/21,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n6102,2011/10/21,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n6103,2011/10/22,I did running on 2011/10/22.,I did running on 2011/10/22.\n6104,2011/10/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n6105,2011/10/22,\"I had pasta for lunch with Kayden, Andrew\",\"I had pasta for lunch with Kayden, Andrew\"\n6106,2011/10/22,I prepare pasta for dinner.,I prepare pasta for dinner.\n6107,2011/10/22,\"I talked to Piper, Olivia for 42 minutes in the late afternoon.\",\"I talked to Piper, Olivia for 42 minutes in the late afternoon.\"\n6108,2011/10/22,\"I talked to Layla, Olivia, Hazel, Rylee for 24 minutes in the early evening.\",\"I talked to Layla, Olivia, Hazel, Rylee for 24 minutes in the early evening.\"\n6109,2011/10/22,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n6110,2011/10/22,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n6111,2011/10/23,I did HIIT on 2011/10/23.,I did HIIT on 2011/10/23.\n6112,2011/10/23,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n6113,2011/10/23,\"I had lunch with Andrew, Emily, Carter. I ate tacos.\",\"I had lunch with Andrew, Emily, Carter. I ate tacos.\"\n6114,2011/10/23,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n6115,2011/10/23,\"I spent 6 talking to Rylee, Hazel on various topics in the morning.\",\"I spent 6 talking to Rylee, Hazel on various topics in the morning.\"\n6116,2011/10/23,\"I spent 40 talking to Piper, Avery on various topics during lunch hours.\",\"I spent 40 talking to Piper, Avery on various topics during lunch hours.\"\n6117,2011/10/23,\"I spent 47 talking to Kinsley, Hazel, Olivia, Lydia on various topics in the late afternoon.\",\"I spent 47 talking to Kinsley, Hazel, Olivia, Lydia on various topics in the late afternoon.\"\n6118,2011/10/23,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n6119,2011/10/23,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n6120,2011/10/24,I went on a date with Everly on 2011/10/24 at a coffee Shop,I went on a date with Everly on 2011/10/24 at a coffee Shop\n6121,2011/10/24,I did running on 2011/10/24.,I did running on 2011/10/24.\n6122,2011/10/24,I ate cereals for breakfast.,I ate cereals for breakfast.\n6123,2011/10/24,I ate steak for lunch.,I ate steak for lunch.\n6124,2011/10/24,\"I had chinese food for dinner with Piper, Rylee\",\"I had chinese food for dinner with Piper, Rylee\"\n6125,2011/10/24,\"I talked to Piper, Nora for 50 minutes in the late afternoon.\",\"I talked to Piper, Nora for 50 minutes in the late afternoon.\"\n6126,2011/10/24,\"I talked to Piper, Olivia, Eva for 18 minutes in the early evening.\",\"I talked to Piper, Olivia, Eva for 18 minutes in the early evening.\"\n6127,2011/10/24,I talked to Layla for 45 minutes in the morning.,I talked to Layla for 45 minutes in the morning.\n6128,2011/10/24,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n6129,2011/10/24,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n6130,2011/10/25,I did running on 2011/10/25.,I did running on 2011/10/25.\n6131,2011/10/25,\"I had oatmeal for breakfast with Benjamin, Jackson, Avery, Willow\",\"I had oatmeal for breakfast with Benjamin, Jackson, Avery, Willow\"\n6132,2011/10/25,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n6133,2011/10/25,I ate steak for dinner.,I ate steak for dinner.\n6134,2011/10/25,\"I talked to Piper, Hazel for 12 minutes during lunch hours.\",\"I talked to Piper, Hazel for 12 minutes during lunch hours.\"\n6135,2011/10/25,\"I spent 54 talking to Nevaeh, Piper, Claire, Avery on various topics in the morning.\",\"I spent 54 talking to Nevaeh, Piper, Claire, Avery on various topics in the morning.\"\n6136,2011/10/25,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n6137,2011/10/25,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n6138,2011/10/26,I did weight lifting on 2011/10/26.,I did weight lifting on 2011/10/26.\n6139,2011/10/26,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n6140,2011/10/26,\"I had a burger for lunch with Carter, Kayden, Andrew\",\"I had a burger for lunch with Carter, Kayden, Andrew\"\n6141,2011/10/26,I had dinner with Kayden. I ate pasta.,I had dinner with Kayden. I ate pasta.\n6142,2011/10/26,\"I spent 33 talking to Hazel, Piper on various topics in the early evening.\",\"I spent 33 talking to Hazel, Piper on various topics in the early evening.\"\n6143,2011/10/26,\"I talked to Rylee, Eva, Avery, Piper for 41 minutes during lunch hours.\",\"I talked to Rylee, Eva, Avery, Piper for 41 minutes during lunch hours.\"\n6144,2011/10/26,\"I talked to Piper, Rylee, Olivia, Nevaeh for 17 minutes during lunch hours.\",\"I talked to Piper, Rylee, Olivia, Nevaeh for 17 minutes during lunch hours.\"\n6145,2011/10/26,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n6146,2011/10/26,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n6147,2011/10/27,I did hiking on 2011/10/27.,I did hiking on 2011/10/27.\n6148,2011/10/27,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n6149,2011/10/27,I had sandwich for lunch with Carter,I had sandwich for lunch with Carter\n6150,2011/10/27,I ate sandwich for dinner.,I ate sandwich for dinner.\n6151,2011/10/27,I talked to Avery for 36 minutes during lunch hours.,I talked to Avery for 36 minutes during lunch hours.\n6152,2011/10/27,I spent 29 talking to Rylee on various topics late in the evening.,I spent 29 talking to Rylee on various topics late in the evening.\n6153,2011/10/27,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n6154,2011/10/27,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n6155,2011/10/28,\"On 2011/10/28, I took Michael on a date to a coffee Shop\",\"On 2011/10/28, I took Michael on a date to a coffee Shop\"\n6156,2011/10/28,I really enjoyed meditation on 2011/10/28,I really enjoyed meditation on 2011/10/28\n6157,2011/10/28,\"I went grocery shopping. I bought some strawberries, peaches, pears, pineapples, tea, pineapple juice, soda, and toothbrush, facial wash, mouthwash\",\"I went grocery shopping. I bought some strawberries, peaches, pears, pineapples, tea, pineapple juice, soda, and toothbrush, facial wash, mouthwash\"\n6158,2011/10/28,I did running on 2011/10/28.,I did running on 2011/10/28.\n6159,2011/10/28,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n6160,2011/10/28,I ate sandwich for lunch.,I ate sandwich for lunch.\n6161,2011/10/28,I ate indian food for dinner.,I ate indian food for dinner.\n6162,2011/10/28,\"I spent 45 talking to Piper, Olivia, Lydia on various topics in the late afternoon.\",\"I spent 45 talking to Piper, Olivia, Lydia on various topics in the late afternoon.\"\n6163,2011/10/28,I talked to Claire for 46 minutes late in the evening.,I talked to Claire for 46 minutes late in the evening.\n6164,2011/10/28,\"I talked to Lydia, Layla, Eva, Avery for 49 minutes in the morning.\",\"I talked to Lydia, Layla, Eva, Avery for 49 minutes in the morning.\"\n6165,2011/10/28,\"I spent 5 talking to Olivia, Hazel on various topics during lunch hours.\",\"I spent 5 talking to Olivia, Hazel on various topics during lunch hours.\"\n6166,2011/10/28,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n6167,2011/10/28,I spent 29 minutes watching news on TV today.,I spent 29 minutes watching news on TV today.\n6168,2011/10/29,I did running on 2011/10/29.,I did running on 2011/10/29.\n6169,2011/10/29,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n6170,2011/10/29,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n6171,2011/10/29,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n6172,2011/10/29,\"I spent 10 talking to Piper, Olivia, Nevaeh on various topics in the late afternoon.\",\"I spent 10 talking to Piper, Olivia, Nevaeh on various topics in the late afternoon.\"\n6173,2011/10/29,I talked to Piper for 33 minutes in the late afternoon.,I talked to Piper for 33 minutes in the late afternoon.\n6174,2011/10/29,\"I spent 33 talking to Olivia, Piper, Piper, Kinsley on various topics in the late afternoon.\",\"I spent 33 talking to Olivia, Piper, Piper, Kinsley on various topics in the late afternoon.\"\n6175,2011/10/29,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n6176,2011/10/29,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n6177,2011/10/30,I did swimming on 2011/10/30.,I did swimming on 2011/10/30.\n6178,2011/10/30,I had breakfast with Avery. I ate toast and cheese.,I had breakfast with Avery. I ate toast and cheese.\n6179,2011/10/30,I had indian food for lunch with Kayden,I had indian food for lunch with Kayden\n6180,2011/10/30,\"I had dinner with Carter, Kayden, Emily. I ate sushi.\",\"I had dinner with Carter, Kayden, Emily. I ate sushi.\"\n6181,2011/10/30,\"I talked to Nevaeh, Rylee, Piper for 7 minutes during lunch hours.\",\"I talked to Nevaeh, Rylee, Piper for 7 minutes during lunch hours.\"\n6182,2011/10/30,\"I talked to Hazel, Layla for 28 minutes in the early evening.\",\"I talked to Hazel, Layla for 28 minutes in the early evening.\"\n6183,2011/10/30,\"I spent 7 talking to Eva, Nevaeh, Nora on various topics in the early evening.\",\"I spent 7 talking to Eva, Nevaeh, Nora on various topics in the early evening.\"\n6184,2011/10/30,\"I spent 47 talking to Layla, Nevaeh on various topics in the late afternoon.\",\"I spent 47 talking to Layla, Nevaeh on various topics in the late afternoon.\"\n6185,2011/10/30,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n6186,2011/10/30,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n6187,2011/10/31,\"I bought some mangos, guava, pineapples, apple juice, tea, coffee, toilet paper, mouthwash, shampoo, shaving cream online.\",\"I bought some mangos, guava, pineapples, apple juice, tea, coffee, toilet paper, mouthwash, shampoo, shaving cream online.\"\n6188,2011/10/31,I did HIIT on 2011/10/31.,I did HIIT on 2011/10/31.\n6189,2011/10/31,\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate pancakes.\",\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate pancakes.\"\n6190,2011/10/31,I ate sushi for lunch.,I ate sushi for lunch.\n6191,2011/10/31,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n6192,2011/10/31,\"I spent 36 talking to Kinsley, Nora on various topics in the late afternoon.\",\"I spent 36 talking to Kinsley, Nora on various topics in the late afternoon.\"\n6193,2011/10/31,I talked to Rylee for 33 minutes in the late afternoon.,I talked to Rylee for 33 minutes in the late afternoon.\n6194,2011/10/31,I spent 19 talking to Lydia on various topics during lunch hours.,I spent 19 talking to Lydia on various topics during lunch hours.\n6195,2011/10/31,I talked to Claire for 24 minutes in the late afternoon.,I talked to Claire for 24 minutes in the late afternoon.\n6196,2011/10/31,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n6197,2011/10/31,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n6198,2011/11/01,I did weight lifting on 2011/11/01.,I did weight lifting on 2011/11/01.\n6199,2011/11/01,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n6200,2011/11/01,I had lunch. I ate steak.,I had lunch. I ate steak.\n6201,2011/11/01,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n6202,2011/11/01,\"I spent 39 talking to Nevaeh, Piper, Avery, Rylee on various topics in the late afternoon.\",\"I spent 39 talking to Nevaeh, Piper, Avery, Rylee on various topics in the late afternoon.\"\n6203,2011/11/01,\"I talked to Nora, Eva, Avery for 24 minutes late in the evening.\",\"I talked to Nora, Eva, Avery for 24 minutes late in the evening.\"\n6204,2011/11/01,\"I talked to Piper, Hazel, Kinsley for 53 minutes during lunch hours.\",\"I talked to Piper, Hazel, Kinsley for 53 minutes during lunch hours.\"\n6205,2011/11/01,\"I spent 27 talking to Eva, Avery, Piper, Hazel on various topics in the morning.\",\"I spent 27 talking to Eva, Avery, Piper, Hazel on various topics in the morning.\"\n6206,2011/11/01,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n6207,2011/11/01,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n6208,2011/11/02,I did HIIT on 2011/11/02.,I did HIIT on 2011/11/02.\n6209,2011/11/02,\"I had breakfast with Olivia, Layla, Lydia, Piper, Piper. I ate pancakes.\",\"I had breakfast with Olivia, Layla, Lydia, Piper, Piper. I ate pancakes.\"\n6210,2011/11/02,I had lunch. I ate steak.,I had lunch. I ate steak.\n6211,2011/11/02,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n6212,2011/11/02,I talked to Avery for 6 minutes in the morning.,I talked to Avery for 6 minutes in the morning.\n6213,2011/11/02,\"I spent 9 talking to Lydia, Olivia, Claire on various topics in the early afternoon.\",\"I spent 9 talking to Lydia, Olivia, Claire on various topics in the early afternoon.\"\n6214,2011/11/02,\"I talked to Lydia, Olivia for 40 minutes late in the evening.\",\"I talked to Lydia, Olivia for 40 minutes late in the evening.\"\n6215,2011/11/02,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n6216,2011/11/02,I spent 31 minutes watching a tv series on TV today.,I spent 31 minutes watching a tv series on TV today.\n6217,2011/11/03,\"I had breakfast with Carter, Emily. I ate toast and cheese.\",\"I had breakfast with Carter, Emily. I ate toast and cheese.\"\n6218,2011/11/03,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n6219,2011/11/03,\"I had pasta for dinner with Kinsley, Eva, Avery, Piper, Rylee, Piper, Nevaeh\",\"I had pasta for dinner with Kinsley, Eva, Avery, Piper, Rylee, Piper, Nevaeh\"\n6220,2011/11/03,\"I spent 11 talking to Eva, Rylee on various topics in the late afternoon.\",\"I spent 11 talking to Eva, Rylee on various topics in the late afternoon.\"\n6221,2011/11/03,\"I spent 46 talking to Olivia, Lydia, Piper, Rylee on various topics during lunch hours.\",\"I spent 46 talking to Olivia, Lydia, Piper, Rylee on various topics during lunch hours.\"\n6222,2011/11/03,\"I spent 7 talking to Layla, Rylee on various topics in the late afternoon.\",\"I spent 7 talking to Layla, Rylee on various topics in the late afternoon.\"\n6223,2011/11/03,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n6224,2011/11/03,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n6225,2011/11/04,\"I bought some strawberries, cherres, blueberries, tea, soda, toothpaste, body lotion, shampoo from the grocery store. I saw Willow, Avery at the grocery store.\",\"I bought some strawberries, cherres, blueberries, tea, soda, toothpaste, body lotion, shampoo from the grocery store. I saw Willow, Avery at the grocery store.\"\n6226,2011/11/04,I did HIIT on 2011/11/04.,I did HIIT on 2011/11/04.\n6227,2011/11/04,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n6228,2011/11/04,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n6229,2011/11/04,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n6230,2011/11/04,\"I talked to Rylee, Avery, Piper for 37 minutes late in the evening.\",\"I talked to Rylee, Avery, Piper for 37 minutes late in the evening.\"\n6231,2011/11/04,I talked to Nevaeh for 8 minutes late in the evening.,I talked to Nevaeh for 8 minutes late in the evening.\n6232,2011/11/04,\"I talked to Avery, Piper, Claire for 54 minutes during lunch hours.\",\"I talked to Avery, Piper, Claire for 54 minutes during lunch hours.\"\n6233,2011/11/04,I talked to Layla for 13 minutes late in the evening.,I talked to Layla for 13 minutes late in the evening.\n6234,2011/11/04,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n6235,2011/11/04,I spent 5 minutes watching a documentary on TV today.,I spent 5 minutes watching a documentary on TV today.\n6236,2011/11/05,I went on a date with Wesley on 2011/11/05 at a coffee Shop,I went on a date with Wesley on 2011/11/05 at a coffee Shop\n6237,2011/11/05,\"I bought some mangos, clementines, blackberries, orange juice, shampoo, toothpaste, conditioner online.\",\"I bought some mangos, clementines, blackberries, orange juice, shampoo, toothpaste, conditioner online.\"\n6238,2011/11/05,I did biking on 2011/11/05.,I did biking on 2011/11/05.\n6239,2011/11/05,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n6240,2011/11/05,I prepare indian food for lunch.,I prepare indian food for lunch.\n6241,2011/11/05,I prepare sushi for dinner.,I prepare sushi for dinner.\n6242,2011/11/05,I spent 45 talking to Piper on various topics in the early afternoon.,I spent 45 talking to Piper on various topics in the early afternoon.\n6243,2011/11/05,I spent 15 talking to Avery on various topics in the early evening.,I spent 15 talking to Avery on various topics in the early evening.\n6244,2011/11/05,\"I talked to Olivia, Hazel, Nora for 11 minutes late in the evening.\",\"I talked to Olivia, Hazel, Nora for 11 minutes late in the evening.\"\n6245,2011/11/05,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n6246,2011/11/05,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n6247,2011/11/06,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n6248,2011/11/06,I ate sandwich for lunch.,I ate sandwich for lunch.\n6249,2011/11/06,\"I had sandwich for dinner with Kayden, Emily, Andrew\",\"I had sandwich for dinner with Kayden, Emily, Andrew\"\n6250,2011/11/06,I spent 27 talking to Piper on various topics in the early evening.,I spent 27 talking to Piper on various topics in the early evening.\n6251,2011/11/06,I spent 45 talking to Olivia on various topics during lunch hours.,I spent 45 talking to Olivia on various topics during lunch hours.\n6252,2011/11/06,I talked to Layla for 29 minutes late in the evening.,I talked to Layla for 29 minutes late in the evening.\n6253,2011/11/06,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n6254,2011/11/06,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n6255,2011/11/07,I did running on 2011/11/07.,I did running on 2011/11/07.\n6256,2011/11/07,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n6257,2011/11/07,\"I had sandwich for lunch with Carter, Emily, Kayden, Andrew\",\"I had sandwich for lunch with Carter, Emily, Kayden, Andrew\"\n6258,2011/11/07,I prepare tacos for dinner.,I prepare tacos for dinner.\n6259,2011/11/07,\"I spent 23 talking to Eva, Piper, Lydia, Rylee on various topics during lunch hours.\",\"I spent 23 talking to Eva, Piper, Lydia, Rylee on various topics during lunch hours.\"\n6260,2011/11/07,\"I talked to Piper, Nevaeh, Lydia for 23 minutes late in the evening.\",\"I talked to Piper, Nevaeh, Lydia for 23 minutes late in the evening.\"\n6261,2011/11/07,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n6262,2011/11/07,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n6263,2011/11/08,I spent time working out on 2011/11/08 with Carter.,I spent time working out on 2011/11/08 with Carter.\n6264,2011/11/08,\"I went grocery shopping with Andrew, Emily. I bought some oranges, blackberries, milk, apple juice, and facial wash, shampoo, shaving cream\",\"I went grocery shopping with Andrew, Emily. I bought some oranges, blackberries, milk, apple juice, and facial wash, shampoo, shaving cream\"\n6265,2011/11/08,I did running on 2011/11/08.,I did running on 2011/11/08.\n6266,2011/11/08,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n6267,2011/11/08,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n6268,2011/11/08,I prepare a burger for dinner.,I prepare a burger for dinner.\n6269,2011/11/08,\"I talked to Claire, Eva, Nevaeh, Piper for 55 minutes during lunch hours.\",\"I talked to Claire, Eva, Nevaeh, Piper for 55 minutes during lunch hours.\"\n6270,2011/11/08,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n6271,2011/11/08,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n6272,2011/11/09,I did running on 2011/11/09.,I did running on 2011/11/09.\n6273,2011/11/09,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n6274,2011/11/09,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n6275,2011/11/09,I ate pasta for dinner.,I ate pasta for dinner.\n6276,2011/11/09,I talked to Layla for 55 minutes in the morning.,I talked to Layla for 55 minutes in the morning.\n6277,2011/11/09,\"I spent 18 talking to Olivia, Piper, Eva, Claire on various topics in the late afternoon.\",\"I spent 18 talking to Olivia, Piper, Eva, Claire on various topics in the late afternoon.\"\n6278,2011/11/09,I spent 47 talking to Claire on various topics in the early afternoon.,I spent 47 talking to Claire on various topics in the early afternoon.\n6279,2011/11/09,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n6280,2011/11/09,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n6281,2011/11/10,I did weight lifting on 2011/11/10.,I did weight lifting on 2011/11/10.\n6282,2011/11/10,\"I had breakfast with Carter, Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\"\n6283,2011/11/10,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n6284,2011/11/10,I ate chinese food for dinner.,I ate chinese food for dinner.\n6285,2011/11/10,\"I spent 15 talking to Rylee, Nevaeh, Layla, Eva on various topics late in the evening.\",\"I spent 15 talking to Rylee, Nevaeh, Layla, Eva on various topics late in the evening.\"\n6286,2011/11/10,\"I spent 35 talking to Lydia, Hazel on various topics in the morning.\",\"I spent 35 talking to Lydia, Hazel on various topics in the morning.\"\n6287,2011/11/10,\"I talked to Piper, Avery, Nora, Claire for 18 minutes in the early evening.\",\"I talked to Piper, Avery, Nora, Claire for 18 minutes in the early evening.\"\n6288,2011/11/10,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n6289,2011/11/10,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n6290,2011/11/11,I did running on 2011/11/11.,I did running on 2011/11/11.\n6291,2011/11/11,\"I had breakfast with Kayden, Carter, Emily, Andrew. I ate toast and cheese.\",\"I had breakfast with Kayden, Carter, Emily, Andrew. I ate toast and cheese.\"\n6292,2011/11/11,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n6293,2011/11/11,I ate sushi for dinner.,I ate sushi for dinner.\n6294,2011/11/11,\"I spent 32 talking to Claire, Piper on various topics during lunch hours.\",\"I spent 32 talking to Claire, Piper on various topics during lunch hours.\"\n6295,2011/11/11,\"I talked to Eva, Piper for 23 minutes in the early evening.\",\"I talked to Eva, Piper for 23 minutes in the early evening.\"\n6296,2011/11/11,\"I talked to Olivia, Avery, Nora for 47 minutes during lunch hours.\",\"I talked to Olivia, Avery, Nora for 47 minutes during lunch hours.\"\n6297,2011/11/11,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n6298,2011/11/11,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n6299,2011/11/12,I did hiking on 2011/11/12.,I did hiking on 2011/11/12.\n6300,2011/11/12,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n6301,2011/11/12,I ate pasta for lunch.,I ate pasta for lunch.\n6302,2011/11/12,\"I had steak for dinner with Nora, Nevaeh, Kinsley, Hazel, Eva, Lydia, Piper, Piper, Olivia\",\"I had steak for dinner with Nora, Nevaeh, Kinsley, Hazel, Eva, Lydia, Piper, Piper, Olivia\"\n6303,2011/11/12,\"I spent 40 talking to Lydia, Olivia, Nevaeh, Claire on various topics in the late afternoon.\",\"I spent 40 talking to Lydia, Olivia, Nevaeh, Claire on various topics in the late afternoon.\"\n6304,2011/11/12,\"I talked to Nevaeh, Nora, Avery for 43 minutes in the late afternoon.\",\"I talked to Nevaeh, Nora, Avery for 43 minutes in the late afternoon.\"\n6305,2011/11/12,\"I talked to Piper, Eva for 38 minutes in the early afternoon.\",\"I talked to Piper, Eva for 38 minutes in the early afternoon.\"\n6306,2011/11/12,\"I talked to Piper, Layla for 51 minutes in the early afternoon.\",\"I talked to Piper, Layla for 51 minutes in the early afternoon.\"\n6307,2011/11/12,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n6308,2011/11/12,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n6309,2011/11/13,I did swimming on 2011/11/13.,I did swimming on 2011/11/13.\n6310,2011/11/13,\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate toast and cheese.\",\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate toast and cheese.\"\n6311,2011/11/13,\"I had a burger for lunch with Andrew, Kayden, Emily\",\"I had a burger for lunch with Andrew, Kayden, Emily\"\n6312,2011/11/13,\"I had fish and chips for dinner with Andrew, Emily, Kayden, Carter\",\"I had fish and chips for dinner with Andrew, Emily, Kayden, Carter\"\n6313,2011/11/13,\"I spent 53 talking to Nevaeh, Avery, Eva on various topics in the morning.\",\"I spent 53 talking to Nevaeh, Avery, Eva on various topics in the morning.\"\n6314,2011/11/13,I spent 29 talking to Avery on various topics in the late afternoon.,I spent 29 talking to Avery on various topics in the late afternoon.\n6315,2011/11/13,\"I talked to Piper, Piper, Nevaeh for 5 minutes in the morning.\",\"I talked to Piper, Piper, Nevaeh for 5 minutes in the morning.\"\n6316,2011/11/13,\"I spent 5 talking to Nevaeh, Eva on various topics in the morning.\",\"I spent 5 talking to Nevaeh, Eva on various topics in the morning.\"\n6317,2011/11/13,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n6318,2011/11/13,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n6319,2011/11/14,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n6320,2011/11/14,\"I had sushi for lunch with Willow, Avery\",\"I had sushi for lunch with Willow, Avery\"\n6321,2011/11/14,I prepare steak for dinner.,I prepare steak for dinner.\n6322,2011/11/14,\"I spent 35 talking to Rylee, Hazel, Olivia, Nora on various topics during lunch hours.\",\"I spent 35 talking to Rylee, Hazel, Olivia, Nora on various topics during lunch hours.\"\n6323,2011/11/14,\"I spent 48 talking to Nevaeh, Piper on various topics in the early evening.\",\"I spent 48 talking to Nevaeh, Piper on various topics in the early evening.\"\n6324,2011/11/14,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n6325,2011/11/14,I watched a movie for 30 minutes on TV today.,I watched a movie for 30 minutes on TV today.\n6326,2011/11/15,I did hiking on 2011/11/15.,I did hiking on 2011/11/15.\n6327,2011/11/15,I ate cereals for breakfast.,I ate cereals for breakfast.\n6328,2011/11/15,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n6329,2011/11/15,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n6330,2011/11/15,\"I spent 9 talking to Piper, Layla, Avery, Nora on various topics in the early afternoon.\",\"I spent 9 talking to Piper, Layla, Avery, Nora on various topics in the early afternoon.\"\n6331,2011/11/15,I talked to Kinsley for 30 minutes in the early evening.,I talked to Kinsley for 30 minutes in the early evening.\n6332,2011/11/15,\"I spent 13 talking to Lydia, Claire on various topics in the early afternoon.\",\"I spent 13 talking to Lydia, Claire on various topics in the early afternoon.\"\n6333,2011/11/15,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n6334,2011/11/15,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n6335,2011/11/16,I did running on 2011/11/16.,I did running on 2011/11/16.\n6336,2011/11/16,\"I had breakfast with Eva, Lydia, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Eva, Lydia, Piper. I ate eggs, sausages, and bread.\"\n6337,2011/11/16,\"I had lunch with Kayden, Andrew, Carter, Emily. I ate chinese food.\",\"I had lunch with Kayden, Andrew, Carter, Emily. I ate chinese food.\"\n6338,2011/11/16,I ate steak for dinner.,I ate steak for dinner.\n6339,2011/11/16,\"I talked to Layla, Kinsley, Nora for 5 minutes in the early evening.\",\"I talked to Layla, Kinsley, Nora for 5 minutes in the early evening.\"\n6340,2011/11/16,\"I talked to Layla, Hazel, Lydia, Kinsley for 46 minutes in the morning.\",\"I talked to Layla, Hazel, Lydia, Kinsley for 46 minutes in the morning.\"\n6341,2011/11/16,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n6342,2011/11/16,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n6343,2011/11/17,I did biking on 2011/11/17.,I did biking on 2011/11/17.\n6344,2011/11/17,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n6345,2011/11/17,\"I had chinese food for lunch with Willow, Benjamin, Avery, Jackson\",\"I had chinese food for lunch with Willow, Benjamin, Avery, Jackson\"\n6346,2011/11/17,I ate sushi for dinner.,I ate sushi for dinner.\n6347,2011/11/17,\"I talked to Nora, Piper, Hazel for 47 minutes in the early evening.\",\"I talked to Nora, Piper, Hazel for 47 minutes in the early evening.\"\n6348,2011/11/17,\"I spent 27 talking to Piper, Nora, Lydia on various topics during lunch hours.\",\"I spent 27 talking to Piper, Nora, Lydia on various topics during lunch hours.\"\n6349,2011/11/17,I spent 42 talking to Nora on various topics late in the evening.,I spent 42 talking to Nora on various topics late in the evening.\n6350,2011/11/17,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n6351,2011/11/17,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n6352,2011/11/18,my parents for their and I went for an annual physical checkup at the university hospital on 2011/11/18.,my parents for their and I went for an annual physical checkup at the university hospital on 2011/11/18.\n6353,2011/11/18,\"I went grocery shopping with Jackson, Avery, Benjamin, Willow. I bought some cherres, pineapples, guava, sports drinks, soda, and shampoo, body lotion, mouth wash\",\"I went grocery shopping with Jackson, Avery, Benjamin, Willow. I bought some cherres, pineapples, guava, sports drinks, soda, and shampoo, body lotion, mouth wash\"\n6354,2011/11/18,I did HIIT on 2011/11/18.,I did HIIT on 2011/11/18.\n6355,2011/11/18,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n6356,2011/11/18,\"I had steak for lunch with Benjamin, Avery, Jackson, Willow\",\"I had steak for lunch with Benjamin, Avery, Jackson, Willow\"\n6357,2011/11/18,I prepare pasta for dinner.,I prepare pasta for dinner.\n6358,2011/11/18,I spent 16 talking to Lydia on various topics in the early afternoon.,I spent 16 talking to Lydia on various topics in the early afternoon.\n6359,2011/11/18,\"I talked to Piper, Claire, Lydia for 37 minutes during lunch hours.\",\"I talked to Piper, Claire, Lydia for 37 minutes during lunch hours.\"\n6360,2011/11/18,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n6361,2011/11/18,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n6362,2011/11/19,I did swimming on 2011/11/19.,I did swimming on 2011/11/19.\n6363,2011/11/19,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n6364,2011/11/19,I ate steak for lunch.,I ate steak for lunch.\n6365,2011/11/19,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n6366,2011/11/19,\"I talked to Lydia, Rylee, Avery, Nevaeh for 30 minutes late in the evening.\",\"I talked to Lydia, Rylee, Avery, Nevaeh for 30 minutes late in the evening.\"\n6367,2011/11/19,\"I spent 49 talking to Claire, Kinsley, Nora, Nevaeh on various topics in the early evening.\",\"I spent 49 talking to Claire, Kinsley, Nora, Nevaeh on various topics in the early evening.\"\n6368,2011/11/19,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n6369,2011/11/19,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n6370,2011/11/20,\"I bought some peaches, chocolate milk, mango juice, sports drinks, pineapple juice, toothpaste from the grocery store. I saw Jackson, Avery at the grocery store.\",\"I bought some peaches, chocolate milk, mango juice, sports drinks, pineapple juice, toothpaste from the grocery store. I saw Jackson, Avery at the grocery store.\"\n6371,2011/11/20,I did swimming on 2011/11/20.,I did swimming on 2011/11/20.\n6372,2011/11/20,I had cereals for breakfast with Olivia,I had cereals for breakfast with Olivia\n6373,2011/11/20,I prepare sushi for lunch.,I prepare sushi for lunch.\n6374,2011/11/20,\"I had chinese food for dinner with Carter, Andrew, Kayden, Emily\",\"I had chinese food for dinner with Carter, Andrew, Kayden, Emily\"\n6375,2011/11/20,I talked to Nora for 54 minutes in the early evening.,I talked to Nora for 54 minutes in the early evening.\n6376,2011/11/20,\"I talked to Rylee, Hazel, Layla, Claire for 20 minutes in the early evening.\",\"I talked to Rylee, Hazel, Layla, Claire for 20 minutes in the early evening.\"\n6377,2011/11/20,\"I talked to Hazel, Nevaeh, Nora, Eva for 5 minutes in the late afternoon.\",\"I talked to Hazel, Nevaeh, Nora, Eva for 5 minutes in the late afternoon.\"\n6378,2011/11/20,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n6379,2011/11/20,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n6380,2011/11/21,I did HIIT on 2011/11/21.,I did HIIT on 2011/11/21.\n6381,2011/11/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n6382,2011/11/21,I prepare indian food for lunch.,I prepare indian food for lunch.\n6383,2011/11/21,I had dinner with Kayden. I ate pasta.,I had dinner with Kayden. I ate pasta.\n6384,2011/11/21,\"I talked to Piper, Claire, Rylee for 14 minutes in the late afternoon.\",\"I talked to Piper, Claire, Rylee for 14 minutes in the late afternoon.\"\n6385,2011/11/21,I talked to Piper for 24 minutes in the early afternoon.,I talked to Piper for 24 minutes in the early afternoon.\n6386,2011/11/21,\"I spent 12 talking to Eva, Piper, Olivia, Kinsley on various topics late in the evening.\",\"I spent 12 talking to Eva, Piper, Olivia, Kinsley on various topics late in the evening.\"\n6387,2011/11/21,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n6388,2011/11/21,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n6389,2011/11/22,\"On 2011/11/22, I took Evelyn on a date to a restaurant\",\"On 2011/11/22, I took Evelyn on a date to a restaurant\"\n6390,2011/11/22,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n6391,2011/11/22,\"I had lunch with Benjamin, Avery, Willow. I ate indian food.\",\"I had lunch with Benjamin, Avery, Willow. I ate indian food.\"\n6392,2011/11/22,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n6393,2011/11/22,\"I spent 53 talking to Olivia, Rylee, Layla on various topics in the late afternoon.\",\"I spent 53 talking to Olivia, Rylee, Layla on various topics in the late afternoon.\"\n6394,2011/11/22,\"I spent 49 talking to Piper, Olivia on various topics in the late afternoon.\",\"I spent 49 talking to Piper, Olivia on various topics in the late afternoon.\"\n6395,2011/11/22,\"I talked to Lydia, Eva, Piper, Hazel for 11 minutes in the early evening.\",\"I talked to Lydia, Eva, Piper, Hazel for 11 minutes in the early evening.\"\n6396,2011/11/22,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n6397,2011/11/22,I watched news for 52 minutes on TV today.,I watched news for 52 minutes on TV today.\n6398,2011/11/23,I really enjoyed gardening on 2011/11/23,I really enjoyed gardening on 2011/11/23\n6399,2011/11/23,\"I bought some cherres, raspberries, oranges, pineapple juice, milk, orange juice, mineral water, toothpaste online.\",\"I bought some cherres, raspberries, oranges, pineapple juice, milk, orange juice, mineral water, toothpaste online.\"\n6400,2011/11/23,I did running on 2011/11/23.,I did running on 2011/11/23.\n6401,2011/11/23,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n6402,2011/11/23,I ate tacos for lunch.,I ate tacos for lunch.\n6403,2011/11/23,\"I had sushi for dinner with Kayden, Carter\",\"I had sushi for dinner with Kayden, Carter\"\n6404,2011/11/23,\"I spent 24 talking to Piper, Nevaeh, Layla, Eva on various topics in the early afternoon.\",\"I spent 24 talking to Piper, Nevaeh, Layla, Eva on various topics in the early afternoon.\"\n6405,2011/11/23,\"I talked to Avery, Nevaeh for 21 minutes in the late afternoon.\",\"I talked to Avery, Nevaeh for 21 minutes in the late afternoon.\"\n6406,2011/11/23,\"I talked to Piper, Nevaeh, Eva for 8 minutes late in the evening.\",\"I talked to Piper, Nevaeh, Eva for 8 minutes late in the evening.\"\n6407,2011/11/23,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n6408,2011/11/23,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n6409,2011/11/24,I did swimming on 2011/11/24.,I did swimming on 2011/11/24.\n6410,2011/11/24,\"I had breakfast with Avery, Jackson. I ate pancakes.\",\"I had breakfast with Avery, Jackson. I ate pancakes.\"\n6411,2011/11/24,I prepare a burger for lunch.,I prepare a burger for lunch.\n6412,2011/11/24,I ate a burger for dinner.,I ate a burger for dinner.\n6413,2011/11/24,I spent 5 talking to Piper on various topics in the late afternoon.,I spent 5 talking to Piper on various topics in the late afternoon.\n6414,2011/11/24,\"I talked to Lydia, Eva, Nevaeh for 43 minutes in the early evening.\",\"I talked to Lydia, Eva, Nevaeh for 43 minutes in the early evening.\"\n6415,2011/11/24,\"I talked to Hazel, Lydia for 21 minutes in the early evening.\",\"I talked to Hazel, Lydia for 21 minutes in the early evening.\"\n6416,2011/11/24,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n6417,2011/11/24,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n6418,2011/11/25,I did swimming on 2011/11/25.,I did swimming on 2011/11/25.\n6419,2011/11/25,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n6420,2011/11/25,I ate sandwich for lunch.,I ate sandwich for lunch.\n6421,2011/11/25,\"I had a burger for dinner with Avery, Jackson\",\"I had a burger for dinner with Avery, Jackson\"\n6422,2011/11/25,I spent 31 talking to Eva on various topics in the early afternoon.,I spent 31 talking to Eva on various topics in the early afternoon.\n6423,2011/11/25,\"I talked to Avery, Layla for 48 minutes in the late afternoon.\",\"I talked to Avery, Layla for 48 minutes in the late afternoon.\"\n6424,2011/11/25,\"I talked to Olivia, Lydia for 7 minutes in the early afternoon.\",\"I talked to Olivia, Lydia for 7 minutes in the early afternoon.\"\n6425,2011/11/25,I talked to Rylee for 40 minutes in the late afternoon.,I talked to Rylee for 40 minutes in the late afternoon.\n6426,2011/11/25,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n6427,2011/11/25,I watched news for 51 minutes on TV today.,I watched news for 51 minutes on TV today.\n6428,2011/11/26,I did weight lifting on 2011/11/26.,I did weight lifting on 2011/11/26.\n6429,2011/11/26,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n6430,2011/11/26,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n6431,2011/11/26,\"I had dinner with Piper, Rylee, Nevaeh, Olivia, Piper, Kinsley, Nora, Claire, Eva, Layla, Avery, Hazel. I ate a burger.\",\"I had dinner with Piper, Rylee, Nevaeh, Olivia, Piper, Kinsley, Nora, Claire, Eva, Layla, Avery, Hazel. I ate a burger.\"\n6432,2011/11/26,\"I spent 53 talking to Hazel, Piper, Nora on various topics in the morning.\",\"I spent 53 talking to Hazel, Piper, Nora on various topics in the morning.\"\n6433,2011/11/26,I talked to Nevaeh for 47 minutes during lunch hours.,I talked to Nevaeh for 47 minutes during lunch hours.\n6434,2011/11/26,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n6435,2011/11/26,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n6436,2011/11/27,I did weight lifting on 2011/11/27.,I did weight lifting on 2011/11/27.\n6437,2011/11/27,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n6438,2011/11/27,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n6439,2011/11/27,I ate sandwich for dinner.,I ate sandwich for dinner.\n6440,2011/11/27,\"I talked to Piper, Eva, Nora for 55 minutes in the late afternoon.\",\"I talked to Piper, Eva, Nora for 55 minutes in the late afternoon.\"\n6441,2011/11/27,\"I spent 19 talking to Rylee, Lydia on various topics in the late afternoon.\",\"I spent 19 talking to Rylee, Lydia on various topics in the late afternoon.\"\n6442,2011/11/27,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n6443,2011/11/27,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n6444,2011/11/28,\"I bought some pears, blackberries, blueberries, watermelons, soda, guava juice, mouthwash, shampoo, paper towel from the grocery store. I saw Piper, Eva, Piper, Claire at the grocery store.\",\"I bought some pears, blackberries, blueberries, watermelons, soda, guava juice, mouthwash, shampoo, paper towel from the grocery store. I saw Piper, Eva, Piper, Claire at the grocery store.\"\n6445,2011/11/28,I did weight lifting on 2011/11/28.,I did weight lifting on 2011/11/28.\n6446,2011/11/28,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n6447,2011/11/28,\"I had a burger for lunch with Avery, Hazel, Claire, Olivia, Nevaeh, Layla, Piper, Rylee, Eva, Nora, Kinsley\",\"I had a burger for lunch with Avery, Hazel, Claire, Olivia, Nevaeh, Layla, Piper, Rylee, Eva, Nora, Kinsley\"\n6448,2011/11/28,\"I had chinese food for dinner with Kayden, Andrew\",\"I had chinese food for dinner with Kayden, Andrew\"\n6449,2011/11/28,\"I spent 10 talking to Avery, Olivia, Layla, Hazel on various topics in the late afternoon.\",\"I spent 10 talking to Avery, Olivia, Layla, Hazel on various topics in the late afternoon.\"\n6450,2011/11/28,\"I spent 17 talking to Nora, Rylee, Layla, Avery on various topics in the morning.\",\"I spent 17 talking to Nora, Rylee, Layla, Avery on various topics in the morning.\"\n6451,2011/11/28,\"I talked to Avery, Piper, Lydia for 17 minutes in the morning.\",\"I talked to Avery, Piper, Lydia for 17 minutes in the morning.\"\n6452,2011/11/28,\"I talked to Piper, Lydia, Nevaeh, Piper for 8 minutes late in the evening.\",\"I talked to Piper, Lydia, Nevaeh, Piper for 8 minutes late in the evening.\"\n6453,2011/11/28,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n6454,2011/11/28,I spent 29 minutes watching a documentary on TV today.,I spent 29 minutes watching a documentary on TV today.\n6455,2011/11/29,\"I went grocery shopping. I bought some cherres, apples, guava, guava juice, tea, and facial wash, paper towel, toilet paper\",\"I went grocery shopping. I bought some cherres, apples, guava, guava juice, tea, and facial wash, paper towel, toilet paper\"\n6456,2011/11/29,I did biking on 2011/11/29.,I did biking on 2011/11/29.\n6457,2011/11/29,\"I had cereals for breakfast with Claire, Nevaeh, Kinsley, Eva, Hazel, Nora, Rylee, Avery, Lydia, Piper\",\"I had cereals for breakfast with Claire, Nevaeh, Kinsley, Eva, Hazel, Nora, Rylee, Avery, Lydia, Piper\"\n6458,2011/11/29,\"I had sandwich for lunch with Andrew, Carter, Kayden\",\"I had sandwich for lunch with Andrew, Carter, Kayden\"\n6459,2011/11/29,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n6460,2011/11/29,\"I spent 18 talking to Olivia, Eva, Piper on various topics late in the evening.\",\"I spent 18 talking to Olivia, Eva, Piper on various topics late in the evening.\"\n6461,2011/11/29,\"I spent 16 talking to Lydia, Kinsley, Rylee on various topics in the early afternoon.\",\"I spent 16 talking to Lydia, Kinsley, Rylee on various topics in the early afternoon.\"\n6462,2011/11/29,\"I spent 41 talking to Olivia, Nora on various topics in the morning.\",\"I spent 41 talking to Olivia, Nora on various topics in the morning.\"\n6463,2011/11/29,\"I spent 18 talking to Kinsley, Nevaeh on various topics in the early evening.\",\"I spent 18 talking to Kinsley, Nevaeh on various topics in the early evening.\"\n6464,2011/11/29,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n6465,2011/11/29,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n6466,2011/11/30,I went on a date with Lambert on 2011/11/30 at a boba shop,I went on a date with Lambert on 2011/11/30 at a boba shop\n6467,2011/11/30,I did biking on 2011/11/30.,I did biking on 2011/11/30.\n6468,2011/11/30,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n6469,2011/11/30,I prepare sushi for lunch.,I prepare sushi for lunch.\n6470,2011/11/30,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n6471,2011/11/30,\"I spent 35 talking to Piper, Hazel on various topics in the late afternoon.\",\"I spent 35 talking to Piper, Hazel on various topics in the late afternoon.\"\n6472,2011/11/30,\"I spent 39 talking to Claire, Lydia, Layla, Olivia on various topics late in the evening.\",\"I spent 39 talking to Claire, Lydia, Layla, Olivia on various topics late in the evening.\"\n6473,2011/11/30,\"I spent 5 talking to Rylee, Layla on various topics during lunch hours.\",\"I spent 5 talking to Rylee, Layla on various topics during lunch hours.\"\n6474,2011/11/30,\"I talked to Olivia, Claire, Layla for 39 minutes in the morning.\",\"I talked to Olivia, Claire, Layla for 39 minutes in the morning.\"\n6475,2011/11/30,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n6476,2011/11/30,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n6477,2011/12/01,I did swimming on 2011/12/01.,I did swimming on 2011/12/01.\n6478,2011/12/01,\"I had peanut-butter-jam for breakfast with Avery, Jackson\",\"I had peanut-butter-jam for breakfast with Avery, Jackson\"\n6479,2011/12/01,I prepare indian food for lunch.,I prepare indian food for lunch.\n6480,2011/12/01,I ate chinese food for dinner.,I ate chinese food for dinner.\n6481,2011/12/01,\"I talked to Nevaeh, Olivia, Piper for 49 minutes in the early afternoon.\",\"I talked to Nevaeh, Olivia, Piper for 49 minutes in the early afternoon.\"\n6482,2011/12/01,\"I spent 12 talking to Piper, Piper, Eva, Lydia on various topics in the morning.\",\"I spent 12 talking to Piper, Piper, Eva, Lydia on various topics in the morning.\"\n6483,2011/12/01,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n6484,2011/12/01,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n6485,2011/12/02,I did weight lifting on 2011/12/02.,I did weight lifting on 2011/12/02.\n6486,2011/12/02,\"I had breakfast with Rylee, Nevaeh, Eva, Piper, Nora, Kinsley. I ate cereals.\",\"I had breakfast with Rylee, Nevaeh, Eva, Piper, Nora, Kinsley. I ate cereals.\"\n6487,2011/12/02,I ate tacos for lunch.,I ate tacos for lunch.\n6488,2011/12/02,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n6489,2011/12/02,\"I talked to Lydia, Nora, Claire for 46 minutes in the morning.\",\"I talked to Lydia, Nora, Claire for 46 minutes in the morning.\"\n6490,2011/12/02,\"I spent 8 talking to Piper, Hazel, Kinsley on various topics in the late afternoon.\",\"I spent 8 talking to Piper, Hazel, Kinsley on various topics in the late afternoon.\"\n6491,2011/12/02,I spent 43 talking to Kinsley on various topics during lunch hours.,I spent 43 talking to Kinsley on various topics during lunch hours.\n6492,2011/12/02,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n6493,2011/12/02,I watched news for 36 minutes on TV today.,I watched news for 36 minutes on TV today.\n6494,2011/12/03,\"I went grocery shopping. I bought some strawberries, apple juice, and conditioner, shampoo\",\"I went grocery shopping. I bought some strawberries, apple juice, and conditioner, shampoo\"\n6495,2011/12/03,I did weight lifting on 2011/12/03.,I did weight lifting on 2011/12/03.\n6496,2011/12/03,I ate cereals for breakfast.,I ate cereals for breakfast.\n6497,2011/12/03,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n6498,2011/12/03,I had a burger for dinner with Andrew,I had a burger for dinner with Andrew\n6499,2011/12/03,\"I spent 46 talking to Nevaeh, Nora on various topics during lunch hours.\",\"I spent 46 talking to Nevaeh, Nora on various topics during lunch hours.\"\n6500,2011/12/03,\"I talked to Kinsley, Piper for 19 minutes in the early afternoon.\",\"I talked to Kinsley, Piper for 19 minutes in the early afternoon.\"\n6501,2011/12/03,\"I spent 43 talking to Rylee, Piper on various topics late in the evening.\",\"I spent 43 talking to Rylee, Piper on various topics late in the evening.\"\n6502,2011/12/03,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n6503,2011/12/03,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n6504,2011/12/04,\"On 2011/12/04, I took Charlotte on a date to a boba shop\",\"On 2011/12/04, I took Charlotte on a date to a boba shop\"\n6505,2011/12/04,I did swimming on 2011/12/04.,I did swimming on 2011/12/04.\n6506,2011/12/04,I ate cereals for breakfast.,I ate cereals for breakfast.\n6507,2011/12/04,I prepare pasta for lunch.,I prepare pasta for lunch.\n6508,2011/12/04,\"I had sushi for dinner with Avery, Willow, Benjamin\",\"I had sushi for dinner with Avery, Willow, Benjamin\"\n6509,2011/12/04,\"I talked to Hazel, Kinsley, Piper, Nevaeh for 46 minutes in the early afternoon.\",\"I talked to Hazel, Kinsley, Piper, Nevaeh for 46 minutes in the early afternoon.\"\n6510,2011/12/04,\"I talked to Lydia, Olivia for 32 minutes in the early afternoon.\",\"I talked to Lydia, Olivia for 32 minutes in the early afternoon.\"\n6511,2011/12/04,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n6512,2011/12/04,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n6513,2011/12/05,I did biking on 2011/12/05.,I did biking on 2011/12/05.\n6514,2011/12/05,\"I had breakfast with Andrew, Emily, Carter. I ate oatmeal.\",\"I had breakfast with Andrew, Emily, Carter. I ate oatmeal.\"\n6515,2011/12/05,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n6516,2011/12/05,I prepare tacos for dinner.,I prepare tacos for dinner.\n6517,2011/12/05,\"I spent 8 talking to Avery, Piper on various topics in the morning.\",\"I spent 8 talking to Avery, Piper on various topics in the morning.\"\n6518,2011/12/05,I talked to Hazel for 32 minutes in the early afternoon.,I talked to Hazel for 32 minutes in the early afternoon.\n6519,2011/12/05,\"I spent 22 talking to Nora, Piper on various topics during lunch hours.\",\"I spent 22 talking to Nora, Piper on various topics during lunch hours.\"\n6520,2011/12/05,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n6521,2011/12/05,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n6522,2011/12/06,\"On 2011/12/06, I took Elizabeth on a date to a boba shop\",\"On 2011/12/06, I took Elizabeth on a date to a boba shop\"\n6523,2011/12/06,I did biking on 2011/12/06.,I did biking on 2011/12/06.\n6524,2011/12/06,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n6525,2011/12/06,\"I had lunch with Kayden, Andrew. I ate indian food.\",\"I had lunch with Kayden, Andrew. I ate indian food.\"\n6526,2011/12/06,\"I had fish and chips for dinner with Carter, Emily, Kayden\",\"I had fish and chips for dinner with Carter, Emily, Kayden\"\n6527,2011/12/06,I spent 29 talking to Nevaeh on various topics in the late afternoon.,I spent 29 talking to Nevaeh on various topics in the late afternoon.\n6528,2011/12/06,\"I talked to Lydia, Hazel, Claire, Olivia for 40 minutes in the early evening.\",\"I talked to Lydia, Hazel, Claire, Olivia for 40 minutes in the early evening.\"\n6529,2011/12/06,\"I spent 17 talking to Eva, Kinsley on various topics during lunch hours.\",\"I spent 17 talking to Eva, Kinsley on various topics during lunch hours.\"\n6530,2011/12/06,I spent 11 talking to Piper on various topics during lunch hours.,I spent 11 talking to Piper on various topics during lunch hours.\n6531,2011/12/06,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n6532,2011/12/06,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n6533,2011/12/07,\"I spent time working out on 2011/12/07 with Andrew, Kayden.\",\"I spent time working out on 2011/12/07 with Andrew, Kayden.\"\n6534,2011/12/07,I did HIIT on 2011/12/07.,I did HIIT on 2011/12/07.\n6535,2011/12/07,\"I had breakfast with Andrew, Kayden, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Kayden, Emily. I ate eggs, sausages, and bread.\"\n6536,2011/12/07,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n6537,2011/12/07,I prepare pasta for dinner.,I prepare pasta for dinner.\n6538,2011/12/07,\"I talked to Avery, Olivia for 15 minutes in the early afternoon.\",\"I talked to Avery, Olivia for 15 minutes in the early afternoon.\"\n6539,2011/12/07,I spent 12 talking to Avery on various topics late in the evening.,I spent 12 talking to Avery on various topics late in the evening.\n6540,2011/12/07,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n6541,2011/12/07,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n6542,2011/12/08,I did HIIT on 2011/12/08.,I did HIIT on 2011/12/08.\n6543,2011/12/08,\"I had cereals for breakfast with Piper, Piper, Eva, Nora, Nevaeh, Kinsley\",\"I had cereals for breakfast with Piper, Piper, Eva, Nora, Nevaeh, Kinsley\"\n6544,2011/12/08,I ate sandwich for lunch.,I ate sandwich for lunch.\n6545,2011/12/08,\"I had tacos for dinner with Kayden, Andrew, Carter\",\"I had tacos for dinner with Kayden, Andrew, Carter\"\n6546,2011/12/08,I talked to Olivia for 23 minutes late in the evening.,I talked to Olivia for 23 minutes late in the evening.\n6547,2011/12/08,\"I spent 37 talking to Claire, Avery, Piper, Eva on various topics in the late afternoon.\",\"I spent 37 talking to Claire, Avery, Piper, Eva on various topics in the late afternoon.\"\n6548,2011/12/08,\"I spent 46 talking to Avery, Lydia, Nora on various topics in the late afternoon.\",\"I spent 46 talking to Avery, Lydia, Nora on various topics in the late afternoon.\"\n6549,2011/12/08,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n6550,2011/12/08,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n6551,2011/12/09,\"I bought some peaches, apple juice, milk, soda, conditioner, facial wash, body lotion, mouth wash from the grocery store. I saw Kayden at the grocery store.\",\"I bought some peaches, apple juice, milk, soda, conditioner, facial wash, body lotion, mouth wash from the grocery store. I saw Kayden at the grocery store.\"\n6552,2011/12/09,I did biking on 2011/12/09.,I did biking on 2011/12/09.\n6553,2011/12/09,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n6554,2011/12/09,\"I had chinese food for lunch with Andrew, Emily\",\"I had chinese food for lunch with Andrew, Emily\"\n6555,2011/12/09,I prepare indian food for dinner.,I prepare indian food for dinner.\n6556,2011/12/09,\"I spent 55 talking to Piper, Claire, Lydia, Eva on various topics in the late afternoon.\",\"I spent 55 talking to Piper, Claire, Lydia, Eva on various topics in the late afternoon.\"\n6557,2011/12/09,\"I talked to Piper, Layla, Nora for 31 minutes during lunch hours.\",\"I talked to Piper, Layla, Nora for 31 minutes during lunch hours.\"\n6558,2011/12/09,\"I talked to Lydia, Avery, Hazel for 46 minutes in the morning.\",\"I talked to Lydia, Avery, Hazel for 46 minutes in the morning.\"\n6559,2011/12/09,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n6560,2011/12/09,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n6561,2011/12/10,I went on a date with Serenity on 2011/12/10 at a park,I went on a date with Serenity on 2011/12/10 at a park\n6562,2011/12/10,\"I spent time meditation on 2011/12/10 with Andrew, Carter.\",\"I spent time meditation on 2011/12/10 with Andrew, Carter.\"\n6563,2011/12/10,I did hiking on 2011/12/10.,I did hiking on 2011/12/10.\n6564,2011/12/10,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n6565,2011/12/10,\"I had lunch with Benjamin, Willow, Avery. I ate sandwich.\",\"I had lunch with Benjamin, Willow, Avery. I ate sandwich.\"\n6566,2011/12/10,\"I had a burger for dinner with Kinsley, Eva, Lydia\",\"I had a burger for dinner with Kinsley, Eva, Lydia\"\n6567,2011/12/10,\"I spent 9 talking to Layla, Eva on various topics late in the evening.\",\"I spent 9 talking to Layla, Eva on various topics late in the evening.\"\n6568,2011/12/10,\"I talked to Lydia, Piper for 27 minutes in the early evening.\",\"I talked to Lydia, Piper for 27 minutes in the early evening.\"\n6569,2011/12/10,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n6570,2011/12/10,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n6571,2011/12/11,\"I went grocery shopping. I bought some mandarins, blackberries, soda, apple juice, and toothbrush, paper towel, mouth wash, conditioner\",\"I went grocery shopping. I bought some mandarins, blackberries, soda, apple juice, and toothbrush, paper towel, mouth wash, conditioner\"\n6572,2011/12/11,I did swimming on 2011/12/11.,I did swimming on 2011/12/11.\n6573,2011/12/11,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n6574,2011/12/11,I had steak for lunch with Layla,I had steak for lunch with Layla\n6575,2011/12/11,I had dinner. I ate steak.,I had dinner. I ate steak.\n6576,2011/12/11,\"I talked to Nevaeh, Eva, Piper for 51 minutes in the morning.\",\"I talked to Nevaeh, Eva, Piper for 51 minutes in the morning.\"\n6577,2011/12/11,\"I spent 11 talking to Rylee, Avery, Piper, Claire on various topics in the early afternoon.\",\"I spent 11 talking to Rylee, Avery, Piper, Claire on various topics in the early afternoon.\"\n6578,2011/12/11,\"I talked to Kinsley, Piper for 20 minutes in the morning.\",\"I talked to Kinsley, Piper for 20 minutes in the morning.\"\n6579,2011/12/11,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n6580,2011/12/11,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n6581,2011/12/12,I did swimming on 2011/12/12.,I did swimming on 2011/12/12.\n6582,2011/12/12,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n6583,2011/12/12,I had sandwich for lunch with Andrew,I had sandwich for lunch with Andrew\n6584,2011/12/12,I prepare steak for dinner.,I prepare steak for dinner.\n6585,2011/12/12,I talked to Hazel for 6 minutes in the early evening.,I talked to Hazel for 6 minutes in the early evening.\n6586,2011/12/12,\"I spent 11 talking to Nevaeh, Avery, Hazel on various topics in the early afternoon.\",\"I spent 11 talking to Nevaeh, Avery, Hazel on various topics in the early afternoon.\"\n6587,2011/12/12,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n6588,2011/12/12,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n6589,2011/12/13,\"I went grocery shopping with Rylee, Lydia, Avery, Nevaeh. I bought some blueberries, guava, guava juice, and body lotion, mouth wash, paper towel, shaving cream\",\"I went grocery shopping with Rylee, Lydia, Avery, Nevaeh. I bought some blueberries, guava, guava juice, and body lotion, mouth wash, paper towel, shaving cream\"\n6590,2011/12/13,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n6591,2011/12/13,I ate chinese food for lunch.,I ate chinese food for lunch.\n6592,2011/12/13,I prepare a burger for dinner.,I prepare a burger for dinner.\n6593,2011/12/13,\"I spent 39 talking to Nora, Piper on various topics in the morning.\",\"I spent 39 talking to Nora, Piper on various topics in the morning.\"\n6594,2011/12/13,I spent 17 talking to Nora on various topics late in the evening.,I spent 17 talking to Nora on various topics late in the evening.\n6595,2011/12/13,I talked to Layla for 15 minutes in the early evening.,I talked to Layla for 15 minutes in the early evening.\n6596,2011/12/13,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n6597,2011/12/13,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n6598,2011/12/14,I did HIIT on 2011/12/14.,I did HIIT on 2011/12/14.\n6599,2011/12/14,\"I had peanut-butter-jam for breakfast with Avery, Benjamin, Jackson, Willow\",\"I had peanut-butter-jam for breakfast with Avery, Benjamin, Jackson, Willow\"\n6600,2011/12/14,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n6601,2011/12/14,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n6602,2011/12/14,I talked to Olivia for 12 minutes in the morning.,I talked to Olivia for 12 minutes in the morning.\n6603,2011/12/14,\"I talked to Piper, Hazel for 21 minutes in the early afternoon.\",\"I talked to Piper, Hazel for 21 minutes in the early afternoon.\"\n6604,2011/12/14,\"I talked to Olivia, Rylee, Eva, Avery for 44 minutes in the early afternoon.\",\"I talked to Olivia, Rylee, Eva, Avery for 44 minutes in the early afternoon.\"\n6605,2011/12/14,\"I spent 39 talking to Nora, Piper on various topics in the early afternoon.\",\"I spent 39 talking to Nora, Piper on various topics in the early afternoon.\"\n6606,2011/12/14,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n6607,2011/12/14,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n6608,2011/12/15,\"On 2011/12/15, I took Maverick on a date to a boba shop\",\"On 2011/12/15, I took Maverick on a date to a boba shop\"\n6609,2011/12/15,I did weight lifting on 2011/12/15.,I did weight lifting on 2011/12/15.\n6610,2011/12/15,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n6611,2011/12/15,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n6612,2011/12/15,I had dinner with Piper. I ate steak.,I had dinner with Piper. I ate steak.\n6613,2011/12/15,\"I spent 16 talking to Hazel, Olivia, Piper, Layla on various topics in the morning.\",\"I spent 16 talking to Hazel, Olivia, Piper, Layla on various topics in the morning.\"\n6614,2011/12/15,\"I spent 11 talking to Claire, Layla, Rylee, Kinsley on various topics during lunch hours.\",\"I spent 11 talking to Claire, Layla, Rylee, Kinsley on various topics during lunch hours.\"\n6615,2011/12/15,\"I spent 53 talking to Nora, Nevaeh, Olivia, Avery on various topics during lunch hours.\",\"I spent 53 talking to Nora, Nevaeh, Olivia, Avery on various topics during lunch hours.\"\n6616,2011/12/15,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n6617,2011/12/15,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n6618,2011/12/16,I did weight lifting on 2011/12/16.,I did weight lifting on 2011/12/16.\n6619,2011/12/16,\"I had breakfast with Avery, Willow, Benjamin. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Willow, Benjamin. I ate peanut-butter-jam.\"\n6620,2011/12/16,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n6621,2011/12/16,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n6622,2011/12/16,\"I talked to Nevaeh, Claire for 48 minutes late in the evening.\",\"I talked to Nevaeh, Claire for 48 minutes late in the evening.\"\n6623,2011/12/16,\"I spent 38 talking to Rylee, Claire, Eva, Layla on various topics late in the evening.\",\"I spent 38 talking to Rylee, Claire, Eva, Layla on various topics late in the evening.\"\n6624,2011/12/16,\"I talked to Nevaeh, Rylee, Piper, Avery for 55 minutes in the early afternoon.\",\"I talked to Nevaeh, Rylee, Piper, Avery for 55 minutes in the early afternoon.\"\n6625,2011/12/16,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n6626,2011/12/16,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n6627,2011/12/17,\"I bought some watermelons, tea, toilet paper, conditioner, body lotion from the grocery store. I saw Nora, Claire, Eva, Piper, Nevaeh, Layla, Rylee, Kinsley, Olivia, Piper at the grocery store.\",\"I bought some watermelons, tea, toilet paper, conditioner, body lotion from the grocery store. I saw Nora, Claire, Eva, Piper, Nevaeh, Layla, Rylee, Kinsley, Olivia, Piper at the grocery store.\"\n6628,2011/12/17,I did HIIT on 2011/12/17.,I did HIIT on 2011/12/17.\n6629,2011/12/17,\"I had breakfast with Emily, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Kayden. I ate eggs, sausages, and bread.\"\n6630,2011/12/17,I prepare a burger for lunch.,I prepare a burger for lunch.\n6631,2011/12/17,\"I had dinner with Carter, Andrew, Kayden. I ate sandwich.\",\"I had dinner with Carter, Andrew, Kayden. I ate sandwich.\"\n6632,2011/12/17,\"I spent 23 talking to Kinsley, Olivia, Avery, Rylee on various topics during lunch hours.\",\"I spent 23 talking to Kinsley, Olivia, Avery, Rylee on various topics during lunch hours.\"\n6633,2011/12/17,\"I spent 40 talking to Hazel, Piper on various topics during lunch hours.\",\"I spent 40 talking to Hazel, Piper on various topics during lunch hours.\"\n6634,2011/12/17,\"I talked to Rylee, Avery for 36 minutes in the late afternoon.\",\"I talked to Rylee, Avery for 36 minutes in the late afternoon.\"\n6635,2011/12/17,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n6636,2011/12/17,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n6637,2011/12/18,I did biking on 2011/12/18.,I did biking on 2011/12/18.\n6638,2011/12/18,\"I had peanut-butter-jam for breakfast with Carter, Kayden\",\"I had peanut-butter-jam for breakfast with Carter, Kayden\"\n6639,2011/12/18,I had lunch with Carter. I ate fish and chips.,I had lunch with Carter. I ate fish and chips.\n6640,2011/12/18,I ate tacos for dinner.,I ate tacos for dinner.\n6641,2011/12/18,\"I spent 18 talking to Olivia, Nora on various topics in the early evening.\",\"I spent 18 talking to Olivia, Nora on various topics in the early evening.\"\n6642,2011/12/18,I talked to Lydia for 55 minutes during lunch hours.,I talked to Lydia for 55 minutes during lunch hours.\n6643,2011/12/18,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n6644,2011/12/18,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n6645,2011/12/19,I did hiking on 2011/12/19.,I did hiking on 2011/12/19.\n6646,2011/12/19,\"I had breakfast with Kayden, Emily. I ate oatmeal.\",\"I had breakfast with Kayden, Emily. I ate oatmeal.\"\n6647,2011/12/19,\"I had tacos for lunch with Emily, Andrew, Carter\",\"I had tacos for lunch with Emily, Andrew, Carter\"\n6648,2011/12/19,I had dinner with Andrew. I ate chinese food.,I had dinner with Andrew. I ate chinese food.\n6649,2011/12/19,\"I spent 54 talking to Avery, Piper on various topics in the late afternoon.\",\"I spent 54 talking to Avery, Piper on various topics in the late afternoon.\"\n6650,2011/12/19,\"I spent 10 talking to Layla, Eva on various topics during lunch hours.\",\"I spent 10 talking to Layla, Eva on various topics during lunch hours.\"\n6651,2011/12/19,\"I spent 24 talking to Rylee, Lydia, Eva on various topics in the late afternoon.\",\"I spent 24 talking to Rylee, Lydia, Eva on various topics in the late afternoon.\"\n6652,2011/12/19,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n6653,2011/12/19,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n6654,2011/12/20,I did biking on 2011/12/20.,I did biking on 2011/12/20.\n6655,2011/12/20,\"I had breakfast with Jackson, Avery, Willow, Benjamin. I ate cereals.\",\"I had breakfast with Jackson, Avery, Willow, Benjamin. I ate cereals.\"\n6656,2011/12/20,\"I had sandwich for lunch with Kayden, Carter\",\"I had sandwich for lunch with Kayden, Carter\"\n6657,2011/12/20,I had dinner with Carter. I ate tacos.,I had dinner with Carter. I ate tacos.\n6658,2011/12/20,\"I spent 51 talking to Piper, Claire, Olivia on various topics in the early evening.\",\"I spent 51 talking to Piper, Claire, Olivia on various topics in the early evening.\"\n6659,2011/12/20,I spent 19 talking to Hazel on various topics in the early evening.,I spent 19 talking to Hazel on various topics in the early evening.\n6660,2011/12/20,\"I spent 36 talking to Eva, Kinsley on various topics in the early afternoon.\",\"I spent 36 talking to Eva, Kinsley on various topics in the early afternoon.\"\n6661,2011/12/20,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n6662,2011/12/20,I watched a movie for 54 minutes on TV today.,I watched a movie for 54 minutes on TV today.\n6663,2011/12/21,\"On 2011/12/21, I took Olivia on a date to a boba shop\",\"On 2011/12/21, I took Olivia on a date to a boba shop\"\n6664,2011/12/21,I spent time working out on 2011/12/21 with Willow.,I spent time working out on 2011/12/21 with Willow.\n6665,2011/12/21,I did biking on 2011/12/21.,I did biking on 2011/12/21.\n6666,2011/12/21,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n6667,2011/12/21,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n6668,2011/12/21,\"I had dinner with Andrew, Emily, Carter, Kayden. I ate steak.\",\"I had dinner with Andrew, Emily, Carter, Kayden. I ate steak.\"\n6669,2011/12/21,\"I spent 19 talking to Layla, Rylee on various topics during lunch hours.\",\"I spent 19 talking to Layla, Rylee on various topics during lunch hours.\"\n6670,2011/12/21,I spent 38 talking to Rylee on various topics during lunch hours.,I spent 38 talking to Rylee on various topics during lunch hours.\n6671,2011/12/21,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n6672,2011/12/21,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n6673,2011/12/22,I did swimming on 2011/12/22.,I did swimming on 2011/12/22.\n6674,2011/12/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n6675,2011/12/22,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n6676,2011/12/22,I ate a burger for dinner.,I ate a burger for dinner.\n6677,2011/12/22,\"I talked to Rylee, Piper for 32 minutes in the morning.\",\"I talked to Rylee, Piper for 32 minutes in the morning.\"\n6678,2011/12/22,\"I talked to Olivia, Hazel, Nora for 29 minutes in the early evening.\",\"I talked to Olivia, Hazel, Nora for 29 minutes in the early evening.\"\n6679,2011/12/22,\"I talked to Eva, Rylee, Kinsley, Piper for 33 minutes in the morning.\",\"I talked to Eva, Rylee, Kinsley, Piper for 33 minutes in the morning.\"\n6680,2011/12/22,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n6681,2011/12/22,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n6682,2011/12/23,I did biking on 2011/12/23.,I did biking on 2011/12/23.\n6683,2011/12/23,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n6684,2011/12/23,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n6685,2011/12/23,I prepare tacos for dinner.,I prepare tacos for dinner.\n6686,2011/12/23,\"I spent 27 talking to Olivia, Avery on various topics in the early evening.\",\"I spent 27 talking to Olivia, Avery on various topics in the early evening.\"\n6687,2011/12/23,I talked to Olivia for 55 minutes in the morning.,I talked to Olivia for 55 minutes in the morning.\n6688,2011/12/23,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n6689,2011/12/23,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n6690,2011/12/24,\"On 2011/12/24, I took Natalie on a date to a boba shop\",\"On 2011/12/24, I took Natalie on a date to a boba shop\"\n6691,2011/12/24,I did weight lifting on 2011/12/24.,I did weight lifting on 2011/12/24.\n6692,2011/12/24,\"I had pancakes for breakfast with Olivia, Eva, Avery, Layla, Piper, Lydia, Rylee, Piper\",\"I had pancakes for breakfast with Olivia, Eva, Avery, Layla, Piper, Lydia, Rylee, Piper\"\n6693,2011/12/24,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n6694,2011/12/24,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n6695,2011/12/24,\"I talked to Lydia, Piper for 24 minutes in the late afternoon.\",\"I talked to Lydia, Piper for 24 minutes in the late afternoon.\"\n6696,2011/12/24,\"I talked to Nevaeh, Eva for 7 minutes during lunch hours.\",\"I talked to Nevaeh, Eva for 7 minutes during lunch hours.\"\n6697,2011/12/24,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n6698,2011/12/24,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n6699,2011/12/25,I did running on 2011/12/25.,I did running on 2011/12/25.\n6700,2011/12/25,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n6701,2011/12/25,I ate sushi for lunch.,I ate sushi for lunch.\n6702,2011/12/25,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n6703,2011/12/25,\"I spent 11 talking to Lydia, Claire, Nora on various topics in the late afternoon.\",\"I spent 11 talking to Lydia, Claire, Nora on various topics in the late afternoon.\"\n6704,2011/12/25,\"I talked to Rylee, Olivia for 15 minutes in the early afternoon.\",\"I talked to Rylee, Olivia for 15 minutes in the early afternoon.\"\n6705,2011/12/25,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n6706,2011/12/25,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n6707,2011/12/26,I did HIIT on 2011/12/26.,I did HIIT on 2011/12/26.\n6708,2011/12/26,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n6709,2011/12/26,\"I had steak for lunch with Emily, Carter\",\"I had steak for lunch with Emily, Carter\"\n6710,2011/12/26,I had dinner with Carter. I ate fish and chips.,I had dinner with Carter. I ate fish and chips.\n6711,2011/12/26,I talked to Lydia for 25 minutes in the early afternoon.,I talked to Lydia for 25 minutes in the early afternoon.\n6712,2011/12/26,I talked to Piper for 13 minutes in the early evening.,I talked to Piper for 13 minutes in the early evening.\n6713,2011/12/26,\"I spent 9 talking to Nevaeh, Avery, Lydia, Nora on various topics in the morning.\",\"I spent 9 talking to Nevaeh, Avery, Lydia, Nora on various topics in the morning.\"\n6714,2011/12/26,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n6715,2011/12/26,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n6716,2011/12/27,I did biking on 2011/12/27.,I did biking on 2011/12/27.\n6717,2011/12/27,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n6718,2011/12/27,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n6719,2011/12/27,I ate indian food for dinner.,I ate indian food for dinner.\n6720,2011/12/27,I spent 55 talking to Eva on various topics during lunch hours.,I spent 55 talking to Eva on various topics during lunch hours.\n6721,2011/12/27,\"I talked to Eva, Olivia, Piper for 13 minutes in the early evening.\",\"I talked to Eva, Olivia, Piper for 13 minutes in the early evening.\"\n6722,2011/12/27,\"I spent 14 talking to Piper, Lydia, Claire on various topics in the early evening.\",\"I spent 14 talking to Piper, Lydia, Claire on various topics in the early evening.\"\n6723,2011/12/27,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n6724,2011/12/27,I watched a documentary for 49 minutes on TV today.,I watched a documentary for 49 minutes on TV today.\n6725,2011/12/28,I really enjoyed yoga on 2011/12/28,I really enjoyed yoga on 2011/12/28\n6726,2011/12/28,\"I had breakfast with Claire, Avery, Nevaeh. I ate toast and cheese.\",\"I had breakfast with Claire, Avery, Nevaeh. I ate toast and cheese.\"\n6727,2011/12/28,I prepare sushi for lunch.,I prepare sushi for lunch.\n6728,2011/12/28,I prepare a burger for dinner.,I prepare a burger for dinner.\n6729,2011/12/28,\"I spent 22 talking to Kinsley, Avery, Lydia, Olivia on various topics in the early afternoon.\",\"I spent 22 talking to Kinsley, Avery, Lydia, Olivia on various topics in the early afternoon.\"\n6730,2011/12/28,I spent 25 talking to Rylee on various topics in the morning.,I spent 25 talking to Rylee on various topics in the morning.\n6731,2011/12/28,I spent 26 talking to Hazel on various topics in the morning.,I spent 26 talking to Hazel on various topics in the morning.\n6732,2011/12/28,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n6733,2011/12/28,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n6734,2011/12/29,\"I went grocery shopping with Andrew. I bought some raspberries, peaches, milk, chocolate milk, sports drinks, apple juice, and shaving cream, conditioner, mouthwash\",\"I went grocery shopping with Andrew. I bought some raspberries, peaches, milk, chocolate milk, sports drinks, apple juice, and shaving cream, conditioner, mouthwash\"\n6735,2011/12/29,I did weight lifting on 2011/12/29.,I did weight lifting on 2011/12/29.\n6736,2011/12/29,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n6737,2011/12/29,I prepare pasta for lunch.,I prepare pasta for lunch.\n6738,2011/12/29,\"I had steak for dinner with Willow, Benjamin, Jackson, Avery\",\"I had steak for dinner with Willow, Benjamin, Jackson, Avery\"\n6739,2011/12/29,I talked to Claire for 39 minutes in the early evening.,I talked to Claire for 39 minutes in the early evening.\n6740,2011/12/29,\"I spent 54 talking to Hazel, Nora, Piper, Piper on various topics in the morning.\",\"I spent 54 talking to Hazel, Nora, Piper, Piper on various topics in the morning.\"\n6741,2011/12/29,\"I talked to Nora, Claire for 27 minutes in the early evening.\",\"I talked to Nora, Claire for 27 minutes in the early evening.\"\n6742,2011/12/29,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n6743,2011/12/29,I watched a tv series for 46 minutes on TV today.,I watched a tv series for 46 minutes on TV today.\n6744,2011/12/30,I did weight lifting on 2011/12/30.,I did weight lifting on 2011/12/30.\n6745,2011/12/30,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n6746,2011/12/30,I prepare pasta for lunch.,I prepare pasta for lunch.\n6747,2011/12/30,I had dinner with Andrew. I ate chinese food.,I had dinner with Andrew. I ate chinese food.\n6748,2011/12/30,\"I talked to Piper, Rylee, Lydia, Kinsley for 44 minutes in the early afternoon.\",\"I talked to Piper, Rylee, Lydia, Kinsley for 44 minutes in the early afternoon.\"\n6749,2011/12/30,\"I talked to Piper, Kinsley for 10 minutes during lunch hours.\",\"I talked to Piper, Kinsley for 10 minutes during lunch hours.\"\n6750,2011/12/30,I spent 46 talking to Olivia on various topics in the early afternoon.,I spent 46 talking to Olivia on various topics in the early afternoon.\n6751,2011/12/30,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n6752,2011/12/30,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n6753,2011/12/31,\"I bought some blueberries, blackberries, guava, oranges, milk, mango juice, toothpaste, shaving cream online.\",\"I bought some blueberries, blackberries, guava, oranges, milk, mango juice, toothpaste, shaving cream online.\"\n6754,2011/12/31,I did weight lifting on 2011/12/31.,I did weight lifting on 2011/12/31.\n6755,2011/12/31,\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate peanut-butter-jam.\"\n6756,2011/12/31,\"I had steak for lunch with Emily, Kayden, Carter, Andrew\",\"I had steak for lunch with Emily, Kayden, Carter, Andrew\"\n6757,2011/12/31,I prepare steak for dinner.,I prepare steak for dinner.\n6758,2011/12/31,\"I spent 50 talking to Avery, Olivia, Rylee, Piper on various topics late in the evening.\",\"I spent 50 talking to Avery, Olivia, Rylee, Piper on various topics late in the evening.\"\n6759,2011/12/31,\"I talked to Kinsley, Nora, Nevaeh for 16 minutes in the early evening.\",\"I talked to Kinsley, Nora, Nevaeh for 16 minutes in the early evening.\"\n6760,2011/12/31,\"I spent 25 talking to Hazel, Nevaeh on various topics in the late afternoon.\",\"I spent 25 talking to Hazel, Nevaeh on various topics in the late afternoon.\"\n6761,2011/12/31,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n6762,2011/12/31,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n6763,2012/01/01,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n6764,2012/01/01,I did running on 2012/01/01.,I did running on 2012/01/01.\n6765,2012/01/01,\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate toast and cheese.\",\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate toast and cheese.\"\n6766,2012/01/01,I prepare sushi for lunch.,I prepare sushi for lunch.\n6767,2012/01/01,\"I had chinese food for dinner with Carter, Andrew, Kayden, Emily\",\"I had chinese food for dinner with Carter, Andrew, Kayden, Emily\"\n6768,2012/01/01,I talked to Lydia for 25 minutes during lunch hours.,I talked to Lydia for 25 minutes during lunch hours.\n6769,2012/01/01,\"I spent 36 talking to Piper, Hazel on various topics in the morning.\",\"I spent 36 talking to Piper, Hazel on various topics in the morning.\"\n6770,2012/01/01,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n6771,2012/01/01,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n6772,2012/01/02,I did biking on 2012/01/02.,I did biking on 2012/01/02.\n6773,2012/01/02,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n6774,2012/01/02,\"I had chinese food for lunch with Claire, Hazel, Nevaeh\",\"I had chinese food for lunch with Claire, Hazel, Nevaeh\"\n6775,2012/01/02,I prepare steak for dinner.,I prepare steak for dinner.\n6776,2012/01/02,\"I spent 52 talking to Layla, Nora on various topics in the morning.\",\"I spent 52 talking to Layla, Nora on various topics in the morning.\"\n6777,2012/01/02,\"I talked to Layla, Piper for 23 minutes late in the evening.\",\"I talked to Layla, Piper for 23 minutes late in the evening.\"\n6778,2012/01/02,I talked to Eva for 12 minutes in the late afternoon.,I talked to Eva for 12 minutes in the late afternoon.\n6779,2012/01/02,\"I spent 35 talking to Piper, Layla, Hazel, Kinsley on various topics late in the evening.\",\"I spent 35 talking to Piper, Layla, Hazel, Kinsley on various topics late in the evening.\"\n6780,2012/01/02,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n6781,2012/01/02,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n6782,2012/01/03,I went on a date with Ethan on 2012/01/03 at a park,I went on a date with Ethan on 2012/01/03 at a park\n6783,2012/01/03,\"I bought some mangos, watermelons, apples, peaches, sports drinks, mango juice, soda, facial wash online.\",\"I bought some mangos, watermelons, apples, peaches, sports drinks, mango juice, soda, facial wash online.\"\n6784,2012/01/03,I did biking on 2012/01/03.,I did biking on 2012/01/03.\n6785,2012/01/03,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n6786,2012/01/03,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n6787,2012/01/03,I ate pasta for dinner.,I ate pasta for dinner.\n6788,2012/01/03,\"I talked to Claire, Nora, Kinsley for 52 minutes in the late afternoon.\",\"I talked to Claire, Nora, Kinsley for 52 minutes in the late afternoon.\"\n6789,2012/01/03,I talked to Hazel for 29 minutes in the late afternoon.,I talked to Hazel for 29 minutes in the late afternoon.\n6790,2012/01/03,I talked to Rylee for 37 minutes during lunch hours.,I talked to Rylee for 37 minutes during lunch hours.\n6791,2012/01/03,\"I spent 52 talking to Kinsley, Claire, Layla, Piper on various topics in the morning.\",\"I spent 52 talking to Kinsley, Claire, Layla, Piper on various topics in the morning.\"\n6792,2012/01/03,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n6793,2012/01/03,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n6794,2012/01/04,I did weight lifting on 2012/01/04.,I did weight lifting on 2012/01/04.\n6795,2012/01/04,\"I had breakfast with Benjamin, Avery. I ate pancakes.\",\"I had breakfast with Benjamin, Avery. I ate pancakes.\"\n6796,2012/01/04,\"I had sushi for lunch with Kinsley, Piper, Piper, Avery, Nora, Layla, Nevaeh, Claire, Eva, Olivia, Hazel\",\"I had sushi for lunch with Kinsley, Piper, Piper, Avery, Nora, Layla, Nevaeh, Claire, Eva, Olivia, Hazel\"\n6797,2012/01/04,I had dinner. I ate steak.,I had dinner. I ate steak.\n6798,2012/01/04,\"I talked to Piper, Claire for 23 minutes in the early afternoon.\",\"I talked to Piper, Claire for 23 minutes in the early afternoon.\"\n6799,2012/01/04,\"I spent 29 talking to Claire, Hazel, Kinsley, Piper on various topics during lunch hours.\",\"I spent 29 talking to Claire, Hazel, Kinsley, Piper on various topics during lunch hours.\"\n6800,2012/01/04,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n6801,2012/01/04,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n6802,2012/01/05,I did HIIT on 2012/01/05.,I did HIIT on 2012/01/05.\n6803,2012/01/05,\"I had breakfast with Nora, Nevaeh, Olivia, Kinsley, Claire, Rylee, Layla, Eva, Piper, Lydia, Hazel, Avery. I ate oatmeal.\",\"I had breakfast with Nora, Nevaeh, Olivia, Kinsley, Claire, Rylee, Layla, Eva, Piper, Lydia, Hazel, Avery. I ate oatmeal.\"\n6804,2012/01/05,I prepare sushi for lunch.,I prepare sushi for lunch.\n6805,2012/01/05,I prepare sushi for dinner.,I prepare sushi for dinner.\n6806,2012/01/05,\"I spent 53 talking to Kinsley, Nevaeh, Piper, Avery on various topics in the late afternoon.\",\"I spent 53 talking to Kinsley, Nevaeh, Piper, Avery on various topics in the late afternoon.\"\n6807,2012/01/05,\"I spent 20 talking to Avery, Nora, Lydia on various topics during lunch hours.\",\"I spent 20 talking to Avery, Nora, Lydia on various topics during lunch hours.\"\n6808,2012/01/05,I spent 19 talking to Nevaeh on various topics in the morning.,I spent 19 talking to Nevaeh on various topics in the morning.\n6809,2012/01/05,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n6810,2012/01/05,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n6811,2012/01/06,I went for an annual vision checkup on 2012/01/06 at the hospital.,I went for an annual vision checkup on 2012/01/06 at the hospital.\n6812,2012/01/06,I went on a date with Connor on 2012/01/06 at a restaurant,I went on a date with Connor on 2012/01/06 at a restaurant\n6813,2012/01/06,\"I spent time yoga on 2012/01/06 with Nevaeh, Eva, Layla.\",\"I spent time yoga on 2012/01/06 with Nevaeh, Eva, Layla.\"\n6814,2012/01/06,I did biking on 2012/01/06.,I did biking on 2012/01/06.\n6815,2012/01/06,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n6816,2012/01/06,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n6817,2012/01/06,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n6818,2012/01/06,I spent 52 talking to Avery on various topics in the morning.,I spent 52 talking to Avery on various topics in the morning.\n6819,2012/01/06,\"I talked to Hazel, Claire for 39 minutes in the late afternoon.\",\"I talked to Hazel, Claire for 39 minutes in the late afternoon.\"\n6820,2012/01/06,\"I spent 19 talking to Hazel, Olivia on various topics in the early afternoon.\",\"I spent 19 talking to Hazel, Olivia on various topics in the early afternoon.\"\n6821,2012/01/06,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n6822,2012/01/06,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n6823,2012/01/07,\"I went grocery shopping. I bought some strawberries, oranges, mineral water, and facial wash\",\"I went grocery shopping. I bought some strawberries, oranges, mineral water, and facial wash\"\n6824,2012/01/07,I did hiking on 2012/01/07.,I did hiking on 2012/01/07.\n6825,2012/01/07,\"I had breakfast with Olivia, Piper, Claire, Kinsley, Nora, Avery. I ate cereals.\",\"I had breakfast with Olivia, Piper, Claire, Kinsley, Nora, Avery. I ate cereals.\"\n6826,2012/01/07,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n6827,2012/01/07,I ate steak for dinner.,I ate steak for dinner.\n6828,2012/01/07,\"I spent 31 talking to Rylee, Avery, Olivia on various topics in the morning.\",\"I spent 31 talking to Rylee, Avery, Olivia on various topics in the morning.\"\n6829,2012/01/07,\"I talked to Nora, Claire, Lydia, Eva for 32 minutes in the early evening.\",\"I talked to Nora, Claire, Lydia, Eva for 32 minutes in the early evening.\"\n6830,2012/01/07,I talked to Rylee for 50 minutes during lunch hours.,I talked to Rylee for 50 minutes during lunch hours.\n6831,2012/01/07,\"I talked to Avery, Kinsley, Layla for 39 minutes in the early evening.\",\"I talked to Avery, Kinsley, Layla for 39 minutes in the early evening.\"\n6832,2012/01/07,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n6833,2012/01/07,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n6834,2012/01/08,I did biking on 2012/01/08.,I did biking on 2012/01/08.\n6835,2012/01/08,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n6836,2012/01/08,\"I had lunch with Emily, Carter, Andrew, Kayden. I ate fish and chips.\",\"I had lunch with Emily, Carter, Andrew, Kayden. I ate fish and chips.\"\n6837,2012/01/08,I had dinner. I ate steak.,I had dinner. I ate steak.\n6838,2012/01/08,I talked to Lydia for 52 minutes in the morning.,I talked to Lydia for 52 minutes in the morning.\n6839,2012/01/08,\"I spent 36 talking to Avery, Eva on various topics in the early afternoon.\",\"I spent 36 talking to Avery, Eva on various topics in the early afternoon.\"\n6840,2012/01/08,\"I spent 46 talking to Piper, Avery, Nora, Kinsley on various topics during lunch hours.\",\"I spent 46 talking to Piper, Avery, Nora, Kinsley on various topics during lunch hours.\"\n6841,2012/01/08,I talked to Piper for 6 minutes in the early evening.,I talked to Piper for 6 minutes in the early evening.\n6842,2012/01/08,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n6843,2012/01/08,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n6844,2012/01/09,I did weight lifting on 2012/01/09.,I did weight lifting on 2012/01/09.\n6845,2012/01/09,\"I had breakfast with Nora, Olivia, Rylee, Piper, Nevaeh, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Nora, Olivia, Rylee, Piper, Nevaeh, Piper. I ate eggs, sausages, and bread.\"\n6846,2012/01/09,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n6847,2012/01/09,\"I had a burger for dinner with Andrew, Emily, Kayden\",\"I had a burger for dinner with Andrew, Emily, Kayden\"\n6848,2012/01/09,I spent 35 talking to Hazel on various topics in the late afternoon.,I spent 35 talking to Hazel on various topics in the late afternoon.\n6849,2012/01/09,\"I spent 50 talking to Olivia, Rylee, Nevaeh on various topics late in the evening.\",\"I spent 50 talking to Olivia, Rylee, Nevaeh on various topics late in the evening.\"\n6850,2012/01/09,I talked to Piper for 51 minutes in the early evening.,I talked to Piper for 51 minutes in the early evening.\n6851,2012/01/09,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n6852,2012/01/09,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n6853,2012/01/10,I did HIIT on 2012/01/10.,I did HIIT on 2012/01/10.\n6854,2012/01/10,\"I had pancakes for breakfast with Carter, Emily, Kayden, Andrew\",\"I had pancakes for breakfast with Carter, Emily, Kayden, Andrew\"\n6855,2012/01/10,\"I had lunch with Andrew, Carter. I ate chinese food.\",\"I had lunch with Andrew, Carter. I ate chinese food.\"\n6856,2012/01/10,I ate sushi for dinner.,I ate sushi for dinner.\n6857,2012/01/10,\"I talked to Rylee, Claire, Eva for 15 minutes in the early afternoon.\",\"I talked to Rylee, Claire, Eva for 15 minutes in the early afternoon.\"\n6858,2012/01/10,\"I talked to Olivia, Rylee for 18 minutes in the late afternoon.\",\"I talked to Olivia, Rylee for 18 minutes in the late afternoon.\"\n6859,2012/01/10,I spent 18 talking to Rylee on various topics late in the evening.,I spent 18 talking to Rylee on various topics late in the evening.\n6860,2012/01/10,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n6861,2012/01/10,I spent 24 minutes watching a movie on TV today.,I spent 24 minutes watching a movie on TV today.\n6862,2012/01/11,I did swimming on 2012/01/11.,I did swimming on 2012/01/11.\n6863,2012/01/11,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n6864,2012/01/11,\"I had sandwich for lunch with Andrew, Kayden, Emily, Carter\",\"I had sandwich for lunch with Andrew, Kayden, Emily, Carter\"\n6865,2012/01/11,I ate sandwich for dinner.,I ate sandwich for dinner.\n6866,2012/01/11,\"I spent 35 talking to Olivia, Piper, Piper, Hazel on various topics in the early evening.\",\"I spent 35 talking to Olivia, Piper, Piper, Hazel on various topics in the early evening.\"\n6867,2012/01/11,\"I spent 22 talking to Kinsley, Eva on various topics late in the evening.\",\"I spent 22 talking to Kinsley, Eva on various topics late in the evening.\"\n6868,2012/01/11,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n6869,2012/01/11,I spent 8 minutes watching a movie on TV today.,I spent 8 minutes watching a movie on TV today.\n6870,2012/01/12,I did biking on 2012/01/12.,I did biking on 2012/01/12.\n6871,2012/01/12,\"I had breakfast with Benjamin, Avery. I ate cereals.\",\"I had breakfast with Benjamin, Avery. I ate cereals.\"\n6872,2012/01/12,\"I had sandwich for lunch with Jackson, Avery\",\"I had sandwich for lunch with Jackson, Avery\"\n6873,2012/01/12,\"I had dinner with Rylee, Claire, Piper, Nora, Eva, Nevaeh, Lydia. I ate sandwich.\",\"I had dinner with Rylee, Claire, Piper, Nora, Eva, Nevaeh, Lydia. I ate sandwich.\"\n6874,2012/01/12,I spent 15 talking to Nora on various topics in the early evening.,I spent 15 talking to Nora on various topics in the early evening.\n6875,2012/01/12,\"I talked to Claire, Nevaeh, Avery, Nora for 30 minutes in the early afternoon.\",\"I talked to Claire, Nevaeh, Avery, Nora for 30 minutes in the early afternoon.\"\n6876,2012/01/12,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n6877,2012/01/12,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n6878,2012/01/13,\"I bought some clementines, nectarines, pears, pineapple juice, facial wash from the grocery store. I saw Andrew at the grocery store.\",\"I bought some clementines, nectarines, pears, pineapple juice, facial wash from the grocery store. I saw Andrew at the grocery store.\"\n6879,2012/01/13,I did swimming on 2012/01/13.,I did swimming on 2012/01/13.\n6880,2012/01/13,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n6881,2012/01/13,\"I had lunch with Carter, Kayden, Andrew. I ate sandwich.\",\"I had lunch with Carter, Kayden, Andrew. I ate sandwich.\"\n6882,2012/01/13,I prepare a burger for dinner.,I prepare a burger for dinner.\n6883,2012/01/13,\"I spent 21 talking to Rylee, Claire on various topics in the early evening.\",\"I spent 21 talking to Rylee, Claire on various topics in the early evening.\"\n6884,2012/01/13,\"I spent 13 talking to Rylee, Piper, Eva, Nevaeh on various topics in the morning.\",\"I spent 13 talking to Rylee, Piper, Eva, Nevaeh on various topics in the morning.\"\n6885,2012/01/13,\"I talked to Lydia, Rylee for 42 minutes during lunch hours.\",\"I talked to Lydia, Rylee for 42 minutes during lunch hours.\"\n6886,2012/01/13,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n6887,2012/01/13,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n6888,2012/01/14,\"On 2012/01/14, I took Elias on a date to a boba shop\",\"On 2012/01/14, I took Elias on a date to a boba shop\"\n6889,2012/01/14,I really enjoyed working out on 2012/01/14,I really enjoyed working out on 2012/01/14\n6890,2012/01/14,I did swimming on 2012/01/14.,I did swimming on 2012/01/14.\n6891,2012/01/14,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n6892,2012/01/14,\"I had steak for lunch with Kayden, Emily, Andrew\",\"I had steak for lunch with Kayden, Emily, Andrew\"\n6893,2012/01/14,I ate tacos for dinner.,I ate tacos for dinner.\n6894,2012/01/14,\"I spent 34 talking to Nevaeh, Piper on various topics in the late afternoon.\",\"I spent 34 talking to Nevaeh, Piper on various topics in the late afternoon.\"\n6895,2012/01/14,\"I spent 52 talking to Avery, Claire, Olivia on various topics in the morning.\",\"I spent 52 talking to Avery, Claire, Olivia on various topics in the morning.\"\n6896,2012/01/14,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n6897,2012/01/14,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n6898,2012/01/15,I did biking on 2012/01/15.,I did biking on 2012/01/15.\n6899,2012/01/15,\"I had eggs, sausages, and bread for breakfast with Piper, Piper, Olivia, Avery, Layla, Lydia, Rylee, Kinsley, Claire\",\"I had eggs, sausages, and bread for breakfast with Piper, Piper, Olivia, Avery, Layla, Lydia, Rylee, Kinsley, Claire\"\n6900,2012/01/15,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n6901,2012/01/15,I ate pasta for dinner.,I ate pasta for dinner.\n6902,2012/01/15,\"I talked to Layla, Avery, Piper, Hazel for 9 minutes in the late afternoon.\",\"I talked to Layla, Avery, Piper, Hazel for 9 minutes in the late afternoon.\"\n6903,2012/01/15,\"I talked to Hazel, Olivia, Avery, Lydia for 26 minutes in the morning.\",\"I talked to Hazel, Olivia, Avery, Lydia for 26 minutes in the morning.\"\n6904,2012/01/15,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n6905,2012/01/15,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n6906,2012/01/16,\"I bought some bananas, blueberries, mandarins, sports drinks, apple juice, coffee, facial wash, mouthwash, conditioner from the grocery store. I saw Andrew at the grocery store.\",\"I bought some bananas, blueberries, mandarins, sports drinks, apple juice, coffee, facial wash, mouthwash, conditioner from the grocery store. I saw Andrew at the grocery store.\"\n6907,2012/01/16,I did biking on 2012/01/16.,I did biking on 2012/01/16.\n6908,2012/01/16,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n6909,2012/01/16,\"I had sandwich for lunch with Olivia, Piper, Nora\",\"I had sandwich for lunch with Olivia, Piper, Nora\"\n6910,2012/01/16,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n6911,2012/01/16,\"I talked to Avery, Hazel, Piper, Rylee for 17 minutes in the early afternoon.\",\"I talked to Avery, Hazel, Piper, Rylee for 17 minutes in the early afternoon.\"\n6912,2012/01/16,\"I spent 32 talking to Nora, Piper on various topics in the morning.\",\"I spent 32 talking to Nora, Piper on various topics in the morning.\"\n6913,2012/01/16,I talked to Nora for 18 minutes late in the evening.,I talked to Nora for 18 minutes late in the evening.\n6914,2012/01/16,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n6915,2012/01/16,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n6916,2012/01/17,I did biking on 2012/01/17.,I did biking on 2012/01/17.\n6917,2012/01/17,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n6918,2012/01/17,I had fish and chips for lunch with Willow,I had fish and chips for lunch with Willow\n6919,2012/01/17,\"I had dinner with Kayden, Emily. I ate pasta.\",\"I had dinner with Kayden, Emily. I ate pasta.\"\n6920,2012/01/17,I talked to Avery for 28 minutes in the early evening.,I talked to Avery for 28 minutes in the early evening.\n6921,2012/01/17,I talked to Nora for 11 minutes in the early evening.,I talked to Nora for 11 minutes in the early evening.\n6922,2012/01/17,\"I talked to Piper, Nevaeh, Kinsley for 52 minutes during lunch hours.\",\"I talked to Piper, Nevaeh, Kinsley for 52 minutes during lunch hours.\"\n6923,2012/01/17,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n6924,2012/01/17,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n6925,2012/01/18,\"I had toast and cheese for breakfast with Andrew, Emily, Carter, Kayden\",\"I had toast and cheese for breakfast with Andrew, Emily, Carter, Kayden\"\n6926,2012/01/18,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n6927,2012/01/18,\"I had dinner with Emily, Kayden, Andrew. I ate indian food.\",\"I had dinner with Emily, Kayden, Andrew. I ate indian food.\"\n6928,2012/01/18,\"I talked to Nevaeh, Nora, Hazel, Lydia for 26 minutes in the early evening.\",\"I talked to Nevaeh, Nora, Hazel, Lydia for 26 minutes in the early evening.\"\n6929,2012/01/18,\"I talked to Kinsley, Avery, Eva, Olivia for 49 minutes in the early afternoon.\",\"I talked to Kinsley, Avery, Eva, Olivia for 49 minutes in the early afternoon.\"\n6930,2012/01/18,I spent 24 talking to Olivia on various topics late in the evening.,I spent 24 talking to Olivia on various topics late in the evening.\n6931,2012/01/18,\"I talked to Nora, Kinsley, Rylee, Olivia for 18 minutes in the late afternoon.\",\"I talked to Nora, Kinsley, Rylee, Olivia for 18 minutes in the late afternoon.\"\n6932,2012/01/18,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n6933,2012/01/18,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n6934,2012/01/19,\"I bought some blueberries, bananas, pears, tea, apple juice, paper towel from the grocery store. I saw Piper, Rylee, Hazel, Layla, Piper, Olivia, Avery, Nevaeh at the grocery store.\",\"I bought some blueberries, bananas, pears, tea, apple juice, paper towel from the grocery store. I saw Piper, Rylee, Hazel, Layla, Piper, Olivia, Avery, Nevaeh at the grocery store.\"\n6935,2012/01/19,I did HIIT on 2012/01/19.,I did HIIT on 2012/01/19.\n6936,2012/01/19,\"I had breakfast with Willow, Benjamin, Avery, Jackson. I ate oatmeal.\",\"I had breakfast with Willow, Benjamin, Avery, Jackson. I ate oatmeal.\"\n6937,2012/01/19,\"I had lunch with Emily, Carter, Andrew. I ate fish and chips.\",\"I had lunch with Emily, Carter, Andrew. I ate fish and chips.\"\n6938,2012/01/19,\"I had dinner with Emily, Kayden. I ate indian food.\",\"I had dinner with Emily, Kayden. I ate indian food.\"\n6939,2012/01/19,\"I spent 55 talking to Nevaeh, Lydia on various topics in the morning.\",\"I spent 55 talking to Nevaeh, Lydia on various topics in the morning.\"\n6940,2012/01/19,\"I talked to Nora, Piper, Eva for 22 minutes in the early afternoon.\",\"I talked to Nora, Piper, Eva for 22 minutes in the early afternoon.\"\n6941,2012/01/19,\"I spent 19 talking to Olivia, Nora on various topics during lunch hours.\",\"I spent 19 talking to Olivia, Nora on various topics during lunch hours.\"\n6942,2012/01/19,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n6943,2012/01/19,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n6944,2012/01/20,I went on a date with Ezra on 2012/01/20 at a park,I went on a date with Ezra on 2012/01/20 at a park\n6945,2012/01/20,I did HIIT on 2012/01/20.,I did HIIT on 2012/01/20.\n6946,2012/01/20,I had breakfast with Kayden. I ate pancakes.,I had breakfast with Kayden. I ate pancakes.\n6947,2012/01/20,I had a burger for lunch with Emily,I had a burger for lunch with Emily\n6948,2012/01/20,I prepare indian food for dinner.,I prepare indian food for dinner.\n6949,2012/01/20,I talked to Lydia for 13 minutes in the early afternoon.,I talked to Lydia for 13 minutes in the early afternoon.\n6950,2012/01/20,\"I talked to Rylee, Piper for 55 minutes late in the evening.\",\"I talked to Rylee, Piper for 55 minutes late in the evening.\"\n6951,2012/01/20,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n6952,2012/01/20,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n6953,2012/01/21,I did HIIT on 2012/01/21.,I did HIIT on 2012/01/21.\n6954,2012/01/21,\"I had breakfast with Nora, Hazel, Claire. I ate eggs, sausages, and bread.\",\"I had breakfast with Nora, Hazel, Claire. I ate eggs, sausages, and bread.\"\n6955,2012/01/21,I had pasta for lunch with Avery,I had pasta for lunch with Avery\n6956,2012/01/21,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n6957,2012/01/21,I talked to Lydia for 54 minutes in the late afternoon.,I talked to Lydia for 54 minutes in the late afternoon.\n6958,2012/01/21,I spent 6 talking to Claire on various topics in the morning.,I spent 6 talking to Claire on various topics in the morning.\n6959,2012/01/21,\"I spent 12 talking to Nora, Rylee, Lydia, Layla on various topics in the late afternoon.\",\"I spent 12 talking to Nora, Rylee, Lydia, Layla on various topics in the late afternoon.\"\n6960,2012/01/21,\"I talked to Nora, Piper, Kinsley, Nevaeh for 11 minutes during lunch hours.\",\"I talked to Nora, Piper, Kinsley, Nevaeh for 11 minutes during lunch hours.\"\n6961,2012/01/21,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n6962,2012/01/21,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n6963,2012/01/22,I did swimming on 2012/01/22.,I did swimming on 2012/01/22.\n6964,2012/01/22,\"I had breakfast with Avery, Willow. I ate toast and cheese.\",\"I had breakfast with Avery, Willow. I ate toast and cheese.\"\n6965,2012/01/22,\"I had fish and chips for lunch with Andrew, Emily\",\"I had fish and chips for lunch with Andrew, Emily\"\n6966,2012/01/22,I ate a burger for dinner.,I ate a burger for dinner.\n6967,2012/01/22,\"I spent 17 talking to Lydia, Nora, Nevaeh, Piper on various topics in the early evening.\",\"I spent 17 talking to Lydia, Nora, Nevaeh, Piper on various topics in the early evening.\"\n6968,2012/01/22,I talked to Lydia for 30 minutes late in the evening.,I talked to Lydia for 30 minutes late in the evening.\n6969,2012/01/22,\"I spent 28 talking to Rylee, Piper on various topics late in the evening.\",\"I spent 28 talking to Rylee, Piper on various topics late in the evening.\"\n6970,2012/01/22,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n6971,2012/01/22,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n6972,2012/01/23,I did hiking on 2012/01/23.,I did hiking on 2012/01/23.\n6973,2012/01/23,\"I had oatmeal for breakfast with Kayden, Emily, Carter\",\"I had oatmeal for breakfast with Kayden, Emily, Carter\"\n6974,2012/01/23,I prepare pasta for lunch.,I prepare pasta for lunch.\n6975,2012/01/23,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n6976,2012/01/23,I spent 22 talking to Olivia on various topics during lunch hours.,I spent 22 talking to Olivia on various topics during lunch hours.\n6977,2012/01/23,I spent 22 talking to Claire on various topics in the early evening.,I spent 22 talking to Claire on various topics in the early evening.\n6978,2012/01/23,\"I spent 25 talking to Kinsley, Claire, Lydia, Nora on various topics during lunch hours.\",\"I spent 25 talking to Kinsley, Claire, Lydia, Nora on various topics during lunch hours.\"\n6979,2012/01/23,\"I spent 35 talking to Claire, Kinsley, Eva, Rylee on various topics in the early evening.\",\"I spent 35 talking to Claire, Kinsley, Eva, Rylee on various topics in the early evening.\"\n6980,2012/01/23,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n6981,2012/01/23,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n6982,2012/01/24,I did running on 2012/01/24.,I did running on 2012/01/24.\n6983,2012/01/24,I had peanut-butter-jam for breakfast with Kayden,I had peanut-butter-jam for breakfast with Kayden\n6984,2012/01/24,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n6985,2012/01/24,\"I had steak for dinner with Emily, Carter, Andrew, Kayden\",\"I had steak for dinner with Emily, Carter, Andrew, Kayden\"\n6986,2012/01/24,I talked to Rylee for 24 minutes in the early afternoon.,I talked to Rylee for 24 minutes in the early afternoon.\n6987,2012/01/24,\"I spent 49 talking to Piper, Kinsley, Hazel on various topics late in the evening.\",\"I spent 49 talking to Piper, Kinsley, Hazel on various topics late in the evening.\"\n6988,2012/01/24,I talked to Avery for 24 minutes in the early evening.,I talked to Avery for 24 minutes in the early evening.\n6989,2012/01/24,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n6990,2012/01/24,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n6991,2012/01/25,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n6992,2012/01/25,I ate tacos for lunch.,I ate tacos for lunch.\n6993,2012/01/25,\"I had a burger for dinner with Andrew, Kayden\",\"I had a burger for dinner with Andrew, Kayden\"\n6994,2012/01/25,I spent 13 talking to Piper on various topics late in the evening.,I spent 13 talking to Piper on various topics late in the evening.\n6995,2012/01/25,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n6996,2012/01/25,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n6997,2012/01/26,\"I went grocery shopping. I bought some guava, cherres, bananas, mineral water, and conditioner, toothbrush, facial wash\",\"I went grocery shopping. I bought some guava, cherres, bananas, mineral water, and conditioner, toothbrush, facial wash\"\n6998,2012/01/26,I did HIIT on 2012/01/26.,I did HIIT on 2012/01/26.\n6999,2012/01/26,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n7000,2012/01/26,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n7001,2012/01/26,\"I had dinner with Nevaeh, Olivia. I ate pasta.\",\"I had dinner with Nevaeh, Olivia. I ate pasta.\"\n7002,2012/01/26,\"I spent 39 talking to Avery, Kinsley, Hazel on various topics in the early afternoon.\",\"I spent 39 talking to Avery, Kinsley, Hazel on various topics in the early afternoon.\"\n7003,2012/01/26,I spent 9 talking to Piper on various topics in the morning.,I spent 9 talking to Piper on various topics in the morning.\n7004,2012/01/26,I talked to Claire for 49 minutes in the morning.,I talked to Claire for 49 minutes in the morning.\n7005,2012/01/26,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n7006,2012/01/26,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n7007,2012/01/27,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n7008,2012/01/27,I prepare a burger for lunch.,I prepare a burger for lunch.\n7009,2012/01/27,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n7010,2012/01/27,\"I spent 16 talking to Olivia, Rylee, Nevaeh on various topics in the late afternoon.\",\"I spent 16 talking to Olivia, Rylee, Nevaeh on various topics in the late afternoon.\"\n7011,2012/01/27,\"I spent 21 talking to Nevaeh, Piper, Avery, Hazel on various topics during lunch hours.\",\"I spent 21 talking to Nevaeh, Piper, Avery, Hazel on various topics during lunch hours.\"\n7012,2012/01/27,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n7013,2012/01/27,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n7014,2012/01/28,\"On 2012/01/28, I took Alon on a date to a boba shop\",\"On 2012/01/28, I took Alon on a date to a boba shop\"\n7015,2012/01/28,I did biking on 2012/01/28.,I did biking on 2012/01/28.\n7016,2012/01/28,\"I had breakfast with Benjamin, Avery, Jackson. I ate cereals.\",\"I had breakfast with Benjamin, Avery, Jackson. I ate cereals.\"\n7017,2012/01/28,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n7018,2012/01/28,I ate a burger for dinner.,I ate a burger for dinner.\n7019,2012/01/28,I talked to Lydia for 55 minutes during lunch hours.,I talked to Lydia for 55 minutes during lunch hours.\n7020,2012/01/28,\"I spent 6 talking to Piper, Piper on various topics in the late afternoon.\",\"I spent 6 talking to Piper, Piper on various topics in the late afternoon.\"\n7021,2012/01/28,I spent 37 talking to Piper on various topics in the early evening.,I spent 37 talking to Piper on various topics in the early evening.\n7022,2012/01/28,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n7023,2012/01/28,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n7024,2012/01/29,\"I bought some bananas, watermelons, apricots, strawberries, pineapple juice, mineral water, mango juice, shampoo, mouthwash, toothbrush, toilet paper online.\",\"I bought some bananas, watermelons, apricots, strawberries, pineapple juice, mineral water, mango juice, shampoo, mouthwash, toothbrush, toilet paper online.\"\n7025,2012/01/29,I did running on 2012/01/29.,I did running on 2012/01/29.\n7026,2012/01/29,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n7027,2012/01/29,I ate indian food for lunch.,I ate indian food for lunch.\n7028,2012/01/29,I ate sushi for dinner.,I ate sushi for dinner.\n7029,2012/01/29,\"I spent 9 talking to Nevaeh, Kinsley on various topics late in the evening.\",\"I spent 9 talking to Nevaeh, Kinsley on various topics late in the evening.\"\n7030,2012/01/29,\"I spent 19 talking to Rylee, Layla, Kinsley, Hazel on various topics in the morning.\",\"I spent 19 talking to Rylee, Layla, Kinsley, Hazel on various topics in the morning.\"\n7031,2012/01/29,\"I talked to Nora, Piper, Lydia, Hazel for 48 minutes in the early evening.\",\"I talked to Nora, Piper, Lydia, Hazel for 48 minutes in the early evening.\"\n7032,2012/01/29,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n7033,2012/01/29,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n7034,2012/01/30,I did swimming on 2012/01/30.,I did swimming on 2012/01/30.\n7035,2012/01/30,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n7036,2012/01/30,I ate indian food for lunch.,I ate indian food for lunch.\n7037,2012/01/30,I ate tacos for dinner.,I ate tacos for dinner.\n7038,2012/01/30,\"I talked to Nora, Lydia, Avery, Layla for 40 minutes in the late afternoon.\",\"I talked to Nora, Lydia, Avery, Layla for 40 minutes in the late afternoon.\"\n7039,2012/01/30,I spent 53 talking to Nevaeh on various topics in the early evening.,I spent 53 talking to Nevaeh on various topics in the early evening.\n7040,2012/01/30,I spent 39 talking to Piper on various topics in the morning.,I spent 39 talking to Piper on various topics in the morning.\n7041,2012/01/30,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n7042,2012/01/30,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n7043,2012/01/31,I did running on 2012/01/31.,I did running on 2012/01/31.\n7044,2012/01/31,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n7045,2012/01/31,I ate tacos for lunch.,I ate tacos for lunch.\n7046,2012/01/31,I prepare pasta for dinner.,I prepare pasta for dinner.\n7047,2012/01/31,\"I spent 14 talking to Layla, Olivia, Eva, Rylee on various topics during lunch hours.\",\"I spent 14 talking to Layla, Olivia, Eva, Rylee on various topics during lunch hours.\"\n7048,2012/01/31,\"I spent 14 talking to Rylee, Eva, Kinsley on various topics in the morning.\",\"I spent 14 talking to Rylee, Eva, Kinsley on various topics in the morning.\"\n7049,2012/01/31,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n7050,2012/01/31,I spent 49 minutes watching a documentary on TV today.,I spent 49 minutes watching a documentary on TV today.\n7051,2012/02/01,I did hiking on 2012/02/01.,I did hiking on 2012/02/01.\n7052,2012/02/01,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n7053,2012/02/01,\"I had lunch with Jackson, Willow, Benjamin. I ate indian food.\",\"I had lunch with Jackson, Willow, Benjamin. I ate indian food.\"\n7054,2012/02/01,\"I had pasta for dinner with Andrew, Emily\",\"I had pasta for dinner with Andrew, Emily\"\n7055,2012/02/01,\"I spent 43 talking to Claire, Piper, Olivia, Kinsley on various topics in the early afternoon.\",\"I spent 43 talking to Claire, Piper, Olivia, Kinsley on various topics in the early afternoon.\"\n7056,2012/02/01,\"I talked to Nevaeh, Rylee, Piper, Claire for 51 minutes in the morning.\",\"I talked to Nevaeh, Rylee, Piper, Claire for 51 minutes in the morning.\"\n7057,2012/02/01,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n7058,2012/02/01,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n7059,2012/02/02,\"I bought some peaches, mineral water, milk, pineapple juice, facial wash, conditioner online.\",\"I bought some peaches, mineral water, milk, pineapple juice, facial wash, conditioner online.\"\n7060,2012/02/02,I did biking on 2012/02/02.,I did biking on 2012/02/02.\n7061,2012/02/02,I had pancakes for breakfast with Andrew,I had pancakes for breakfast with Andrew\n7062,2012/02/02,\"I had fish and chips for lunch with Avery, Hazel, Nevaeh, Layla, Eva, Piper\",\"I had fish and chips for lunch with Avery, Hazel, Nevaeh, Layla, Eva, Piper\"\n7063,2012/02/02,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n7064,2012/02/02,\"I talked to Piper, Layla, Lydia, Nora for 44 minutes late in the evening.\",\"I talked to Piper, Layla, Lydia, Nora for 44 minutes late in the evening.\"\n7065,2012/02/02,\"I spent 22 talking to Nora, Kinsley on various topics in the late afternoon.\",\"I spent 22 talking to Nora, Kinsley on various topics in the late afternoon.\"\n7066,2012/02/02,\"I talked to Eva, Lydia for 43 minutes in the morning.\",\"I talked to Eva, Lydia for 43 minutes in the morning.\"\n7067,2012/02/02,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n7068,2012/02/02,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n7069,2012/02/03,I spent some time learning a language on 2012/02/03.,I spent some time learning a language on 2012/02/03.\n7070,2012/02/03,I did weight lifting on 2012/02/03.,I did weight lifting on 2012/02/03.\n7071,2012/02/03,\"I had eggs, sausages, and bread for breakfast with Layla, Eva\",\"I had eggs, sausages, and bread for breakfast with Layla, Eva\"\n7072,2012/02/03,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n7073,2012/02/03,I prepare a burger for dinner.,I prepare a burger for dinner.\n7074,2012/02/03,\"I talked to Olivia, Piper for 45 minutes in the early evening.\",\"I talked to Olivia, Piper for 45 minutes in the early evening.\"\n7075,2012/02/03,\"I spent 39 talking to Nevaeh, Eva, Avery, Nora on various topics during lunch hours.\",\"I spent 39 talking to Nevaeh, Eva, Avery, Nora on various topics during lunch hours.\"\n7076,2012/02/03,\"I talked to Nora, Piper, Claire for 37 minutes in the morning.\",\"I talked to Nora, Piper, Claire for 37 minutes in the morning.\"\n7077,2012/02/03,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n7078,2012/02/03,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n7079,2012/02/04,I did swimming on 2012/02/04.,I did swimming on 2012/02/04.\n7080,2012/02/04,\"I had eggs, sausages, and bread for breakfast with Carter, Emily, Kayden, Andrew\",\"I had eggs, sausages, and bread for breakfast with Carter, Emily, Kayden, Andrew\"\n7081,2012/02/04,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n7082,2012/02/04,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n7083,2012/02/04,\"I talked to Olivia, Piper for 17 minutes in the early afternoon.\",\"I talked to Olivia, Piper for 17 minutes in the early afternoon.\"\n7084,2012/02/04,I spent 18 talking to Claire on various topics during lunch hours.,I spent 18 talking to Claire on various topics during lunch hours.\n7085,2012/02/04,\"I spent 54 talking to Avery, Hazel on various topics in the early evening.\",\"I spent 54 talking to Avery, Hazel on various topics in the early evening.\"\n7086,2012/02/04,I talked to Avery for 31 minutes in the late afternoon.,I talked to Avery for 31 minutes in the late afternoon.\n7087,2012/02/04,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n7088,2012/02/04,I watched news for 5 minutes on TV today.,I watched news for 5 minutes on TV today.\n7089,2012/02/05,I did weight lifting on 2012/02/05.,I did weight lifting on 2012/02/05.\n7090,2012/02/05,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n7091,2012/02/05,\"I had lunch with Benjamin, Willow. I ate tacos.\",\"I had lunch with Benjamin, Willow. I ate tacos.\"\n7092,2012/02/05,I ate steak for dinner.,I ate steak for dinner.\n7093,2012/02/05,I spent 44 talking to Nevaeh on various topics in the early afternoon.,I spent 44 talking to Nevaeh on various topics in the early afternoon.\n7094,2012/02/05,\"I spent 14 talking to Olivia, Piper, Layla, Kinsley on various topics in the early afternoon.\",\"I spent 14 talking to Olivia, Piper, Layla, Kinsley on various topics in the early afternoon.\"\n7095,2012/02/05,\"I spent 38 talking to Nora, Lydia, Layla on various topics late in the evening.\",\"I spent 38 talking to Nora, Lydia, Layla on various topics late in the evening.\"\n7096,2012/02/05,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n7097,2012/02/05,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n7098,2012/02/06,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n7099,2012/02/06,I prepare a burger for lunch.,I prepare a burger for lunch.\n7100,2012/02/06,I prepare steak for dinner.,I prepare steak for dinner.\n7101,2012/02/06,I talked to Rylee for 11 minutes in the morning.,I talked to Rylee for 11 minutes in the morning.\n7102,2012/02/06,I talked to Piper for 21 minutes during lunch hours.,I talked to Piper for 21 minutes during lunch hours.\n7103,2012/02/06,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n7104,2012/02/06,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n7105,2012/02/07,\"I went grocery shopping. I bought some bananas, sports drinks, tea, and shaving cream, conditioner, facial wash\",\"I went grocery shopping. I bought some bananas, sports drinks, tea, and shaving cream, conditioner, facial wash\"\n7106,2012/02/07,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n7107,2012/02/07,I had steak for lunch with Andrew,I had steak for lunch with Andrew\n7108,2012/02/07,\"I had indian food for dinner with Carter, Kayden, Emily\",\"I had indian food for dinner with Carter, Kayden, Emily\"\n7109,2012/02/07,\"I spent 27 talking to Lydia, Piper on various topics during lunch hours.\",\"I spent 27 talking to Lydia, Piper on various topics during lunch hours.\"\n7110,2012/02/07,\"I spent 21 talking to Kinsley, Lydia, Hazel, Layla on various topics in the late afternoon.\",\"I spent 21 talking to Kinsley, Lydia, Hazel, Layla on various topics in the late afternoon.\"\n7111,2012/02/07,\"I spent 16 talking to Claire, Piper, Piper, Layla on various topics in the late afternoon.\",\"I spent 16 talking to Claire, Piper, Piper, Layla on various topics in the late afternoon.\"\n7112,2012/02/07,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n7113,2012/02/07,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n7114,2012/02/08,\"On 2012/02/08, I took Madeline on a date to a restaurant\",\"On 2012/02/08, I took Madeline on a date to a restaurant\"\n7115,2012/02/08,\"I bought some strawberries, apricots, mineral water, toothpaste, toothbrush, shampoo, shaving cream from the grocery store. I saw Carter, Emily, Andrew at the grocery store.\",\"I bought some strawberries, apricots, mineral water, toothpaste, toothbrush, shampoo, shaving cream from the grocery store. I saw Carter, Emily, Andrew at the grocery store.\"\n7116,2012/02/08,I did swimming on 2012/02/08.,I did swimming on 2012/02/08.\n7117,2012/02/08,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n7118,2012/02/08,\"I had steak for lunch with Carter, Kayden, Andrew\",\"I had steak for lunch with Carter, Kayden, Andrew\"\n7119,2012/02/08,I prepare indian food for dinner.,I prepare indian food for dinner.\n7120,2012/02/08,I talked to Kinsley for 44 minutes in the early evening.,I talked to Kinsley for 44 minutes in the early evening.\n7121,2012/02/08,\"I spent 44 talking to Claire, Eva, Rylee on various topics in the early evening.\",\"I spent 44 talking to Claire, Eva, Rylee on various topics in the early evening.\"\n7122,2012/02/08,I talked to Olivia for 41 minutes in the early evening.,I talked to Olivia for 41 minutes in the early evening.\n7123,2012/02/08,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n7124,2012/02/08,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n7125,2012/02/09,I did biking on 2012/02/09.,I did biking on 2012/02/09.\n7126,2012/02/09,\"I had toast and cheese for breakfast with Avery, Piper, Eva, Nevaeh, Claire, Olivia, Layla, Piper, Kinsley, Nora, Hazel, Lydia, Rylee\",\"I had toast and cheese for breakfast with Avery, Piper, Eva, Nevaeh, Claire, Olivia, Layla, Piper, Kinsley, Nora, Hazel, Lydia, Rylee\"\n7127,2012/02/09,\"I had lunch with Emily, Carter, Kayden, Andrew. I ate sushi.\",\"I had lunch with Emily, Carter, Kayden, Andrew. I ate sushi.\"\n7128,2012/02/09,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n7129,2012/02/09,\"I talked to Lydia, Rylee for 37 minutes during lunch hours.\",\"I talked to Lydia, Rylee for 37 minutes during lunch hours.\"\n7130,2012/02/09,\"I spent 16 talking to Kinsley, Lydia on various topics late in the evening.\",\"I spent 16 talking to Kinsley, Lydia on various topics late in the evening.\"\n7131,2012/02/09,I talked to Piper for 53 minutes in the early afternoon.,I talked to Piper for 53 minutes in the early afternoon.\n7132,2012/02/09,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n7133,2012/02/09,I spent 48 minutes watching a documentary on TV today.,I spent 48 minutes watching a documentary on TV today.\n7134,2012/02/10,I did weight lifting on 2012/02/10.,I did weight lifting on 2012/02/10.\n7135,2012/02/10,I had breakfast with Benjamin. I ate oatmeal.,I had breakfast with Benjamin. I ate oatmeal.\n7136,2012/02/10,\"I had pasta for lunch with Emily, Carter, Andrew, Kayden\",\"I had pasta for lunch with Emily, Carter, Andrew, Kayden\"\n7137,2012/02/10,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n7138,2012/02/10,\"I talked to Layla, Kinsley, Rylee for 21 minutes in the morning.\",\"I talked to Layla, Kinsley, Rylee for 21 minutes in the morning.\"\n7139,2012/02/10,\"I talked to Claire, Rylee, Nora for 14 minutes in the early evening.\",\"I talked to Claire, Rylee, Nora for 14 minutes in the early evening.\"\n7140,2012/02/10,\"I spent 39 talking to Kinsley, Olivia on various topics during lunch hours.\",\"I spent 39 talking to Kinsley, Olivia on various topics during lunch hours.\"\n7141,2012/02/10,I talked to Avery for 25 minutes in the late afternoon.,I talked to Avery for 25 minutes in the late afternoon.\n7142,2012/02/10,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n7143,2012/02/10,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n7144,2012/02/11,I did hiking on 2012/02/11.,I did hiking on 2012/02/11.\n7145,2012/02/11,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n7146,2012/02/11,\"I had lunch with Kayden, Carter. I ate a burger.\",\"I had lunch with Kayden, Carter. I ate a burger.\"\n7147,2012/02/11,I prepare steak for dinner.,I prepare steak for dinner.\n7148,2012/02/11,\"I talked to Nevaeh, Piper, Eva, Nora for 39 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Eva, Nora for 39 minutes in the early afternoon.\"\n7149,2012/02/11,\"I talked to Hazel, Kinsley for 11 minutes in the early afternoon.\",\"I talked to Hazel, Kinsley for 11 minutes in the early afternoon.\"\n7150,2012/02/11,\"I talked to Piper, Claire, Piper for 55 minutes in the early afternoon.\",\"I talked to Piper, Claire, Piper for 55 minutes in the early afternoon.\"\n7151,2012/02/11,\"I spent 9 talking to Claire, Nevaeh, Piper, Avery on various topics in the morning.\",\"I spent 9 talking to Claire, Nevaeh, Piper, Avery on various topics in the morning.\"\n7152,2012/02/11,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n7153,2012/02/11,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n7154,2012/02/12,I spent some time working out on 2012/02/12.,I spent some time working out on 2012/02/12.\n7155,2012/02/12,I did HIIT on 2012/02/12.,I did HIIT on 2012/02/12.\n7156,2012/02/12,\"I had eggs, sausages, and bread for breakfast with Nora, Olivia, Claire, Rylee, Piper, Hazel, Piper, Avery, Lydia\",\"I had eggs, sausages, and bread for breakfast with Nora, Olivia, Claire, Rylee, Piper, Hazel, Piper, Avery, Lydia\"\n7157,2012/02/12,I prepare pasta for lunch.,I prepare pasta for lunch.\n7158,2012/02/12,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n7159,2012/02/12,I spent 40 talking to Piper on various topics in the morning.,I spent 40 talking to Piper on various topics in the morning.\n7160,2012/02/12,\"I talked to Olivia, Kinsley for 54 minutes in the late afternoon.\",\"I talked to Olivia, Kinsley for 54 minutes in the late afternoon.\"\n7161,2012/02/12,\"I talked to Avery, Piper, Hazel, Olivia for 48 minutes in the early evening.\",\"I talked to Avery, Piper, Hazel, Olivia for 48 minutes in the early evening.\"\n7162,2012/02/12,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n7163,2012/02/12,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n7164,2012/02/13,I did HIIT on 2012/02/13.,I did HIIT on 2012/02/13.\n7165,2012/02/13,\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate pancakes.\",\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate pancakes.\"\n7166,2012/02/13,\"I had lunch with Emily, Kayden, Carter. I ate sandwich.\",\"I had lunch with Emily, Kayden, Carter. I ate sandwich.\"\n7167,2012/02/13,I ate a burger for dinner.,I ate a burger for dinner.\n7168,2012/02/13,\"I talked to Claire, Olivia for 6 minutes late in the evening.\",\"I talked to Claire, Olivia for 6 minutes late in the evening.\"\n7169,2012/02/13,\"I talked to Rylee, Olivia, Piper for 20 minutes in the early evening.\",\"I talked to Rylee, Olivia, Piper for 20 minutes in the early evening.\"\n7170,2012/02/13,I talked to Kinsley for 54 minutes in the late afternoon.,I talked to Kinsley for 54 minutes in the late afternoon.\n7171,2012/02/13,\"I talked to Piper, Claire for 21 minutes in the morning.\",\"I talked to Piper, Claire for 21 minutes in the morning.\"\n7172,2012/02/13,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n7173,2012/02/13,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n7174,2012/02/14,\"On 2012/02/14, I took Lillian on a date to a boba shop\",\"On 2012/02/14, I took Lillian on a date to a boba shop\"\n7175,2012/02/14,I did running on 2012/02/14.,I did running on 2012/02/14.\n7176,2012/02/14,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n7177,2012/02/14,I prepare tacos for lunch.,I prepare tacos for lunch.\n7178,2012/02/14,I ate sushi for dinner.,I ate sushi for dinner.\n7179,2012/02/14,\"I talked to Piper, Hazel, Nora for 41 minutes in the early afternoon.\",\"I talked to Piper, Hazel, Nora for 41 minutes in the early afternoon.\"\n7180,2012/02/14,\"I spent 14 talking to Layla, Eva on various topics in the early afternoon.\",\"I spent 14 talking to Layla, Eva on various topics in the early afternoon.\"\n7181,2012/02/14,\"I talked to Nora, Avery, Nevaeh for 53 minutes in the early evening.\",\"I talked to Nora, Avery, Nevaeh for 53 minutes in the early evening.\"\n7182,2012/02/14,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n7183,2012/02/14,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n7184,2012/02/15,I did running on 2012/02/15.,I did running on 2012/02/15.\n7185,2012/02/15,\"I had pancakes for breakfast with Kinsley, Olivia, Lydia, Avery, Piper, Layla, Hazel, Claire, Nevaeh, Rylee, Eva\",\"I had pancakes for breakfast with Kinsley, Olivia, Lydia, Avery, Piper, Layla, Hazel, Claire, Nevaeh, Rylee, Eva\"\n7186,2012/02/15,I prepare pasta for lunch.,I prepare pasta for lunch.\n7187,2012/02/15,I prepare tacos for dinner.,I prepare tacos for dinner.\n7188,2012/02/15,\"I talked to Olivia, Hazel, Rylee for 40 minutes in the morning.\",\"I talked to Olivia, Hazel, Rylee for 40 minutes in the morning.\"\n7189,2012/02/15,\"I talked to Layla, Hazel, Claire, Kinsley for 34 minutes in the early afternoon.\",\"I talked to Layla, Hazel, Claire, Kinsley for 34 minutes in the early afternoon.\"\n7190,2012/02/15,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n7191,2012/02/15,I watched a tv series for 30 minutes on TV today.,I watched a tv series for 30 minutes on TV today.\n7192,2012/02/16,\"On 2012/02/16, I took Jayden on a date to a restaurant\",\"On 2012/02/16, I took Jayden on a date to a restaurant\"\n7193,2012/02/16,I did HIIT on 2012/02/16.,I did HIIT on 2012/02/16.\n7194,2012/02/16,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n7195,2012/02/16,I ate pasta for lunch.,I ate pasta for lunch.\n7196,2012/02/16,\"I had dinner with Andrew, Emily. I ate sushi.\",\"I had dinner with Andrew, Emily. I ate sushi.\"\n7197,2012/02/16,\"I spent 5 talking to Nevaeh, Hazel on various topics during lunch hours.\",\"I spent 5 talking to Nevaeh, Hazel on various topics during lunch hours.\"\n7198,2012/02/16,\"I spent 41 talking to Avery, Nevaeh, Claire on various topics in the late afternoon.\",\"I spent 41 talking to Avery, Nevaeh, Claire on various topics in the late afternoon.\"\n7199,2012/02/16,\"I talked to Avery, Rylee for 35 minutes in the late afternoon.\",\"I talked to Avery, Rylee for 35 minutes in the late afternoon.\"\n7200,2012/02/16,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n7201,2012/02/16,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n7202,2012/02/17,\"I went grocery shopping. I bought some pears, mandarins, mineral water, and conditioner\",\"I went grocery shopping. I bought some pears, mandarins, mineral water, and conditioner\"\n7203,2012/02/17,I did swimming on 2012/02/17.,I did swimming on 2012/02/17.\n7204,2012/02/17,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n7205,2012/02/17,\"I had lunch with Carter, Emily. I ate steak.\",\"I had lunch with Carter, Emily. I ate steak.\"\n7206,2012/02/17,I had dinner with Rylee. I ate chinese food.,I had dinner with Rylee. I ate chinese food.\n7207,2012/02/17,\"I spent 50 talking to Rylee, Piper, Avery on various topics in the morning.\",\"I spent 50 talking to Rylee, Piper, Avery on various topics in the morning.\"\n7208,2012/02/17,\"I talked to Olivia, Avery, Kinsley for 44 minutes during lunch hours.\",\"I talked to Olivia, Avery, Kinsley for 44 minutes during lunch hours.\"\n7209,2012/02/17,\"I spent 35 talking to Kinsley, Olivia, Nevaeh on various topics during lunch hours.\",\"I spent 35 talking to Kinsley, Olivia, Nevaeh on various topics during lunch hours.\"\n7210,2012/02/17,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n7211,2012/02/17,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n7212,2012/02/18,I spent some time meditation on 2012/02/18.,I spent some time meditation on 2012/02/18.\n7213,2012/02/18,I did running on 2012/02/18.,I did running on 2012/02/18.\n7214,2012/02/18,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n7215,2012/02/18,I ate sushi for lunch.,I ate sushi for lunch.\n7216,2012/02/18,I prepare pasta for dinner.,I prepare pasta for dinner.\n7217,2012/02/18,\"I talked to Layla, Claire for 20 minutes in the early evening.\",\"I talked to Layla, Claire for 20 minutes in the early evening.\"\n7218,2012/02/18,\"I spent 55 talking to Nora, Kinsley, Nevaeh, Lydia on various topics in the early afternoon.\",\"I spent 55 talking to Nora, Kinsley, Nevaeh, Lydia on various topics in the early afternoon.\"\n7219,2012/02/18,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n7220,2012/02/18,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n7221,2012/02/19,I did biking on 2012/02/19.,I did biking on 2012/02/19.\n7222,2012/02/19,\"I had breakfast with Nevaeh, Layla, Avery, Claire, Nora, Lydia, Hazel, Piper, Rylee, Eva, Olivia. I ate pancakes.\",\"I had breakfast with Nevaeh, Layla, Avery, Claire, Nora, Lydia, Hazel, Piper, Rylee, Eva, Olivia. I ate pancakes.\"\n7223,2012/02/19,\"I had steak for lunch with Carter, Kayden, Emily, Andrew\",\"I had steak for lunch with Carter, Kayden, Emily, Andrew\"\n7224,2012/02/19,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n7225,2012/02/19,I talked to Eva for 25 minutes in the early afternoon.,I talked to Eva for 25 minutes in the early afternoon.\n7226,2012/02/19,I spent 54 talking to Eva on various topics in the early evening.,I spent 54 talking to Eva on various topics in the early evening.\n7227,2012/02/19,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n7228,2012/02/19,I spent 6 minutes watching a movie on TV today.,I spent 6 minutes watching a movie on TV today.\n7229,2012/02/20,I did weight lifting on 2012/02/20.,I did weight lifting on 2012/02/20.\n7230,2012/02/20,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n7231,2012/02/20,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n7232,2012/02/20,\"I had dinner with Piper, Nevaeh, Layla, Claire, Lydia, Eva, Hazel. I ate sandwich.\",\"I had dinner with Piper, Nevaeh, Layla, Claire, Lydia, Eva, Hazel. I ate sandwich.\"\n7233,2012/02/20,\"I spent 31 talking to Kinsley, Piper on various topics in the late afternoon.\",\"I spent 31 talking to Kinsley, Piper on various topics in the late afternoon.\"\n7234,2012/02/20,\"I talked to Piper, Kinsley, Olivia, Piper for 36 minutes late in the evening.\",\"I talked to Piper, Kinsley, Olivia, Piper for 36 minutes late in the evening.\"\n7235,2012/02/20,I spent 24 talking to Eva on various topics late in the evening.,I spent 24 talking to Eva on various topics late in the evening.\n7236,2012/02/20,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n7237,2012/02/20,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n7238,2012/02/21,I did weight lifting on 2012/02/21.,I did weight lifting on 2012/02/21.\n7239,2012/02/21,\"I had eggs, sausages, and bread for breakfast with Carter\",\"I had eggs, sausages, and bread for breakfast with Carter\"\n7240,2012/02/21,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n7241,2012/02/21,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n7242,2012/02/21,\"I spent 24 talking to Olivia, Nevaeh, Layla on various topics in the late afternoon.\",\"I spent 24 talking to Olivia, Nevaeh, Layla on various topics in the late afternoon.\"\n7243,2012/02/21,I spent 15 talking to Nora on various topics late in the evening.,I spent 15 talking to Nora on various topics late in the evening.\n7244,2012/02/21,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n7245,2012/02/21,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n7246,2012/02/22,I really enjoyed working out on 2012/02/22,I really enjoyed working out on 2012/02/22\n7247,2012/02/22,\"I went grocery shopping with Kayden. I bought some blueberries, clementines, pineapple juice, apple juice, and shaving cream, mouth wash\",\"I went grocery shopping with Kayden. I bought some blueberries, clementines, pineapple juice, apple juice, and shaving cream, mouth wash\"\n7248,2012/02/22,I did hiking on 2012/02/22.,I did hiking on 2012/02/22.\n7249,2012/02/22,I had breakfast with Andrew. I ate pancakes.,I had breakfast with Andrew. I ate pancakes.\n7250,2012/02/22,I had lunch. I ate steak.,I had lunch. I ate steak.\n7251,2012/02/22,\"I had dinner with Kinsley, Piper, Olivia. I ate chinese food.\",\"I had dinner with Kinsley, Piper, Olivia. I ate chinese food.\"\n7252,2012/02/22,\"I talked to Piper, Piper for 37 minutes in the morning.\",\"I talked to Piper, Piper for 37 minutes in the morning.\"\n7253,2012/02/22,I spent 5 talking to Nora on various topics during lunch hours.,I spent 5 talking to Nora on various topics during lunch hours.\n7254,2012/02/22,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n7255,2012/02/22,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n7256,2012/02/23,I did biking on 2012/02/23.,I did biking on 2012/02/23.\n7257,2012/02/23,\"I had eggs, sausages, and bread for breakfast with Kayden, Emily, Andrew\",\"I had eggs, sausages, and bread for breakfast with Kayden, Emily, Andrew\"\n7258,2012/02/23,\"I had lunch with Lydia, Avery, Piper. I ate pasta.\",\"I had lunch with Lydia, Avery, Piper. I ate pasta.\"\n7259,2012/02/23,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n7260,2012/02/23,\"I spent 38 talking to Olivia, Piper on various topics in the early evening.\",\"I spent 38 talking to Olivia, Piper on various topics in the early evening.\"\n7261,2012/02/23,\"I talked to Hazel, Eva, Claire for 49 minutes during lunch hours.\",\"I talked to Hazel, Eva, Claire for 49 minutes during lunch hours.\"\n7262,2012/02/23,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n7263,2012/02/23,I spent 6 minutes watching a movie on TV today.,I spent 6 minutes watching a movie on TV today.\n7264,2012/02/24,I went on a date with Benjamin on 2012/02/24 at a boba shop,I went on a date with Benjamin on 2012/02/24 at a boba shop\n7265,2012/02/24,I did running on 2012/02/24.,I did running on 2012/02/24.\n7266,2012/02/24,\"I had breakfast with Piper, Lydia, Hazel, Eva, Rylee. I ate toast and cheese.\",\"I had breakfast with Piper, Lydia, Hazel, Eva, Rylee. I ate toast and cheese.\"\n7267,2012/02/24,I had tacos for lunch with Lydia,I had tacos for lunch with Lydia\n7268,2012/02/24,I ate sushi for dinner.,I ate sushi for dinner.\n7269,2012/02/24,\"I spent 52 talking to Nevaeh, Avery, Hazel, Lydia on various topics during lunch hours.\",\"I spent 52 talking to Nevaeh, Avery, Hazel, Lydia on various topics during lunch hours.\"\n7270,2012/02/24,\"I talked to Rylee, Nora, Hazel for 43 minutes in the early evening.\",\"I talked to Rylee, Nora, Hazel for 43 minutes in the early evening.\"\n7271,2012/02/24,\"I spent 13 talking to Layla, Rylee, Piper, Olivia on various topics in the early evening.\",\"I spent 13 talking to Layla, Rylee, Piper, Olivia on various topics in the early evening.\"\n7272,2012/02/24,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n7273,2012/02/24,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n7274,2012/02/25,I did swimming on 2012/02/25.,I did swimming on 2012/02/25.\n7275,2012/02/25,\"I had pancakes for breakfast with Piper, Eva, Hazel, Kinsley, Rylee, Layla, Avery, Piper, Nora, Olivia, Nevaeh\",\"I had pancakes for breakfast with Piper, Eva, Hazel, Kinsley, Rylee, Layla, Avery, Piper, Nora, Olivia, Nevaeh\"\n7276,2012/02/25,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n7277,2012/02/25,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n7278,2012/02/25,\"I spent 45 talking to Hazel, Claire, Kinsley on various topics in the early afternoon.\",\"I spent 45 talking to Hazel, Claire, Kinsley on various topics in the early afternoon.\"\n7279,2012/02/25,I spent 55 talking to Nevaeh on various topics during lunch hours.,I spent 55 talking to Nevaeh on various topics during lunch hours.\n7280,2012/02/25,\"I talked to Hazel, Nora for 17 minutes in the early evening.\",\"I talked to Hazel, Nora for 17 minutes in the early evening.\"\n7281,2012/02/25,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n7282,2012/02/25,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n7283,2012/02/26,I did running on 2012/02/26.,I did running on 2012/02/26.\n7284,2012/02/26,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n7285,2012/02/26,I prepare steak for lunch.,I prepare steak for lunch.\n7286,2012/02/26,I ate steak for dinner.,I ate steak for dinner.\n7287,2012/02/26,\"I spent 44 talking to Lydia, Piper on various topics late in the evening.\",\"I spent 44 talking to Lydia, Piper on various topics late in the evening.\"\n7288,2012/02/26,\"I talked to Eva, Hazel, Nora, Olivia for 55 minutes in the morning.\",\"I talked to Eva, Hazel, Nora, Olivia for 55 minutes in the morning.\"\n7289,2012/02/26,\"I spent 9 talking to Layla, Nevaeh, Claire on various topics late in the evening.\",\"I spent 9 talking to Layla, Nevaeh, Claire on various topics late in the evening.\"\n7290,2012/02/26,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n7291,2012/02/26,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n7292,2012/02/27,I did biking on 2012/02/27.,I did biking on 2012/02/27.\n7293,2012/02/27,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n7294,2012/02/27,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n7295,2012/02/27,I prepare a burger for dinner.,I prepare a burger for dinner.\n7296,2012/02/27,\"I talked to Eva, Piper, Nevaeh, Layla for 43 minutes during lunch hours.\",\"I talked to Eva, Piper, Nevaeh, Layla for 43 minutes during lunch hours.\"\n7297,2012/02/27,\"I spent 17 talking to Rylee, Lydia on various topics during lunch hours.\",\"I spent 17 talking to Rylee, Lydia on various topics during lunch hours.\"\n7298,2012/02/27,\"I spent 55 talking to Claire, Rylee, Nora, Nevaeh on various topics in the morning.\",\"I spent 55 talking to Claire, Rylee, Nora, Nevaeh on various topics in the morning.\"\n7299,2012/02/27,I spent 13 talking to Olivia on various topics during lunch hours.,I spent 13 talking to Olivia on various topics during lunch hours.\n7300,2012/02/27,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n7301,2012/02/27,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n7302,2012/02/28,\"I went grocery shopping. I bought some watermelons, pineapple juice, guava juice, mango juice, and toothpaste, toilet paper, toothbrush, facial wash\",\"I went grocery shopping. I bought some watermelons, pineapple juice, guava juice, mango juice, and toothpaste, toilet paper, toothbrush, facial wash\"\n7303,2012/02/28,\"I had toast and cheese for breakfast with Rylee, Kinsley, Eva, Hazel, Nora, Piper, Avery\",\"I had toast and cheese for breakfast with Rylee, Kinsley, Eva, Hazel, Nora, Piper, Avery\"\n7304,2012/02/28,\"I had indian food for lunch with Hazel, Piper, Olivia\",\"I had indian food for lunch with Hazel, Piper, Olivia\"\n7305,2012/02/28,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n7306,2012/02/28,\"I talked to Claire, Rylee, Layla for 42 minutes late in the evening.\",\"I talked to Claire, Rylee, Layla for 42 minutes late in the evening.\"\n7307,2012/02/28,I spent 24 talking to Avery on various topics in the early afternoon.,I spent 24 talking to Avery on various topics in the early afternoon.\n7308,2012/02/28,I talked to Rylee for 44 minutes in the late afternoon.,I talked to Rylee for 44 minutes in the late afternoon.\n7309,2012/02/28,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n7310,2012/02/28,I spent 17 minutes watching a tv series on TV today.,I spent 17 minutes watching a tv series on TV today.\n7311,2012/02/29,I went on a date with Nova on 2012/02/29 at a boba shop,I went on a date with Nova on 2012/02/29 at a boba shop\n7312,2012/02/29,I did running on 2012/02/29.,I did running on 2012/02/29.\n7313,2012/02/29,\"I had breakfast with Andrew, Kayden, Emily. I ate cereals.\",\"I had breakfast with Andrew, Kayden, Emily. I ate cereals.\"\n7314,2012/02/29,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n7315,2012/02/29,\"I had steak for dinner with Carter, Emily, Kayden\",\"I had steak for dinner with Carter, Emily, Kayden\"\n7316,2012/02/29,\"I spent 8 talking to Claire, Piper, Piper on various topics late in the evening.\",\"I spent 8 talking to Claire, Piper, Piper on various topics late in the evening.\"\n7317,2012/02/29,\"I talked to Nevaeh, Kinsley, Layla, Eva for 5 minutes during lunch hours.\",\"I talked to Nevaeh, Kinsley, Layla, Eva for 5 minutes during lunch hours.\"\n7318,2012/02/29,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n7319,2012/02/29,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n7320,2012/03/01,I did swimming on 2012/03/01.,I did swimming on 2012/03/01.\n7321,2012/03/01,\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate peanut-butter-jam.\"\n7322,2012/03/01,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n7323,2012/03/01,\"I had sandwich for dinner with Lydia, Nora, Piper, Rylee, Nevaeh, Eva, Piper, Hazel, Avery, Kinsley, Olivia, Layla, Claire\",\"I had sandwich for dinner with Lydia, Nora, Piper, Rylee, Nevaeh, Eva, Piper, Hazel, Avery, Kinsley, Olivia, Layla, Claire\"\n7324,2012/03/01,\"I spent 23 talking to Eva, Claire on various topics in the late afternoon.\",\"I spent 23 talking to Eva, Claire on various topics in the late afternoon.\"\n7325,2012/03/01,\"I talked to Avery, Kinsley, Olivia, Nevaeh for 11 minutes in the morning.\",\"I talked to Avery, Kinsley, Olivia, Nevaeh for 11 minutes in the morning.\"\n7326,2012/03/01,I spent 48 talking to Kinsley on various topics in the late afternoon.,I spent 48 talking to Kinsley on various topics in the late afternoon.\n7327,2012/03/01,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n7328,2012/03/01,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n7329,2012/03/02,\"I bought some nectarines, cherres, clementines, mandarins, apple juice, pineapple juice, mango juice, conditioner, paper towel online.\",\"I bought some nectarines, cherres, clementines, mandarins, apple juice, pineapple juice, mango juice, conditioner, paper towel online.\"\n7330,2012/03/02,I did hiking on 2012/03/02.,I did hiking on 2012/03/02.\n7331,2012/03/02,\"I had breakfast with Piper, Claire, Hazel, Kinsley, Piper. I ate pancakes.\",\"I had breakfast with Piper, Claire, Hazel, Kinsley, Piper. I ate pancakes.\"\n7332,2012/03/02,\"I had chinese food for lunch with Avery, Benjamin, Jackson, Willow\",\"I had chinese food for lunch with Avery, Benjamin, Jackson, Willow\"\n7333,2012/03/02,I prepare a burger for dinner.,I prepare a burger for dinner.\n7334,2012/03/02,I talked to Piper for 31 minutes in the early afternoon.,I talked to Piper for 31 minutes in the early afternoon.\n7335,2012/03/02,\"I spent 16 talking to Eva, Layla, Nora, Piper on various topics during lunch hours.\",\"I spent 16 talking to Eva, Layla, Nora, Piper on various topics during lunch hours.\"\n7336,2012/03/02,\"I talked to Piper, Nevaeh, Piper for 26 minutes during lunch hours.\",\"I talked to Piper, Nevaeh, Piper for 26 minutes during lunch hours.\"\n7337,2012/03/02,\"I talked to Piper, Nora, Layla for 14 minutes during lunch hours.\",\"I talked to Piper, Nora, Layla for 14 minutes during lunch hours.\"\n7338,2012/03/02,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n7339,2012/03/02,I watched news for 5 minutes on TV today.,I watched news for 5 minutes on TV today.\n7340,2012/03/03,\"I spent time working out on 2012/03/03 with Andrew, Kayden, Carter.\",\"I spent time working out on 2012/03/03 with Andrew, Kayden, Carter.\"\n7341,2012/03/03,I did hiking on 2012/03/03.,I did hiking on 2012/03/03.\n7342,2012/03/03,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n7343,2012/03/03,\"I had lunch with Avery, Piper, Rylee, Nevaeh, Olivia. I ate pasta.\",\"I had lunch with Avery, Piper, Rylee, Nevaeh, Olivia. I ate pasta.\"\n7344,2012/03/03,I prepare tacos for dinner.,I prepare tacos for dinner.\n7345,2012/03/03,\"I spent 54 talking to Olivia, Hazel, Nevaeh, Piper on various topics in the late afternoon.\",\"I spent 54 talking to Olivia, Hazel, Nevaeh, Piper on various topics in the late afternoon.\"\n7346,2012/03/03,\"I talked to Olivia, Nevaeh, Eva for 7 minutes during lunch hours.\",\"I talked to Olivia, Nevaeh, Eva for 7 minutes during lunch hours.\"\n7347,2012/03/03,I talked to Piper for 39 minutes during lunch hours.,I talked to Piper for 39 minutes during lunch hours.\n7348,2012/03/03,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n7349,2012/03/03,I watched a documentary for 35 minutes on TV today.,I watched a documentary for 35 minutes on TV today.\n7350,2012/03/04,I went on a date with Jose on 2012/03/04 at a park,I went on a date with Jose on 2012/03/04 at a park\n7351,2012/03/04,\"I went grocery shopping. I bought some apricots, raspberries, guava, oranges, guava juice, and mouthwash\",\"I went grocery shopping. I bought some apricots, raspberries, guava, oranges, guava juice, and mouthwash\"\n7352,2012/03/04,I did swimming on 2012/03/04.,I did swimming on 2012/03/04.\n7353,2012/03/04,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n7354,2012/03/04,\"I had lunch with Emily, Carter, Andrew. I ate pasta.\",\"I had lunch with Emily, Carter, Andrew. I ate pasta.\"\n7355,2012/03/04,\"I had a burger for dinner with Lydia, Nevaeh\",\"I had a burger for dinner with Lydia, Nevaeh\"\n7356,2012/03/04,\"I talked to Hazel, Layla, Claire for 12 minutes in the early afternoon.\",\"I talked to Hazel, Layla, Claire for 12 minutes in the early afternoon.\"\n7357,2012/03/04,\"I spent 46 talking to Claire, Nora, Rylee on various topics in the early afternoon.\",\"I spent 46 talking to Claire, Nora, Rylee on various topics in the early afternoon.\"\n7358,2012/03/04,I spent 27 talking to Piper on various topics during lunch hours.,I spent 27 talking to Piper on various topics during lunch hours.\n7359,2012/03/04,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n7360,2012/03/04,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n7361,2012/03/05,I did weight lifting on 2012/03/05.,I did weight lifting on 2012/03/05.\n7362,2012/03/05,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n7363,2012/03/05,\"I had lunch with Avery, Willow, Benjamin, Jackson. I ate tacos.\",\"I had lunch with Avery, Willow, Benjamin, Jackson. I ate tacos.\"\n7364,2012/03/05,I had dinner with Avery. I ate sushi.,I had dinner with Avery. I ate sushi.\n7365,2012/03/05,\"I spent 46 talking to Lydia, Nevaeh, Avery, Nora on various topics in the late afternoon.\",\"I spent 46 talking to Lydia, Nevaeh, Avery, Nora on various topics in the late afternoon.\"\n7366,2012/03/05,\"I spent 30 talking to Lydia, Olivia, Hazel, Eva on various topics during lunch hours.\",\"I spent 30 talking to Lydia, Olivia, Hazel, Eva on various topics during lunch hours.\"\n7367,2012/03/05,\"I talked to Avery, Olivia for 27 minutes in the early evening.\",\"I talked to Avery, Olivia for 27 minutes in the early evening.\"\n7368,2012/03/05,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n7369,2012/03/05,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n7370,2012/03/06,I did running on 2012/03/06.,I did running on 2012/03/06.\n7371,2012/03/06,\"I had peanut-butter-jam for breakfast with Piper, Nevaeh\",\"I had peanut-butter-jam for breakfast with Piper, Nevaeh\"\n7372,2012/03/06,I prepare a burger for lunch.,I prepare a burger for lunch.\n7373,2012/03/06,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n7374,2012/03/06,\"I talked to Nora, Piper, Olivia for 18 minutes in the late afternoon.\",\"I talked to Nora, Piper, Olivia for 18 minutes in the late afternoon.\"\n7375,2012/03/06,\"I spent 54 talking to Piper, Kinsley, Avery, Piper on various topics in the late afternoon.\",\"I spent 54 talking to Piper, Kinsley, Avery, Piper on various topics in the late afternoon.\"\n7376,2012/03/06,I spent 9 talking to Nevaeh on various topics in the early evening.,I spent 9 talking to Nevaeh on various topics in the early evening.\n7377,2012/03/06,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n7378,2012/03/06,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n7379,2012/03/07,\"I visited Bangkok, Thailand for 5 days with Benjamin, Avery, Willow starting on 2012/03/07\",\"I visited Bangkok, Thailand for 5 days with Benjamin, Avery, Willow starting on 2012/03/07\"\n7380,2012/03/07,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n7381,2012/03/07,I ate steak for lunch.,I ate steak for lunch.\n7382,2012/03/07,\"I had dinner with Kayden, Andrew, Carter, Emily. I ate steak.\",\"I had dinner with Kayden, Andrew, Carter, Emily. I ate steak.\"\n7383,2012/03/07,\"I talked to Rylee, Piper, Eva, Lydia for 47 minutes late in the evening.\",\"I talked to Rylee, Piper, Eva, Lydia for 47 minutes late in the evening.\"\n7384,2012/03/07,I spent 31 talking to Avery on various topics in the morning.,I spent 31 talking to Avery on various topics in the morning.\n7385,2012/03/07,\"I spent 44 talking to Hazel, Kinsley, Nora, Olivia on various topics in the early afternoon.\",\"I spent 44 talking to Hazel, Kinsley, Nora, Olivia on various topics in the early afternoon.\"\n7386,2012/03/07,I spent 21 talking to Nevaeh on various topics in the morning.,I spent 21 talking to Nevaeh on various topics in the morning.\n7387,2012/03/07,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n7388,2012/03/07,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n7389,2012/03/08,\"During my trip to Bangkok, Thailand, I visited Grand Palace on 2012/03 with Benjamin, Avery, Willow.\",\"During my trip to Bangkok, Thailand, I visited Grand Palace on 2012/03 with Benjamin, Avery, Willow.\"\n7390,2012/03/08,\"I ate Italian food at Victory Monument with Benjamin, Avery, Willow on  2012/03/08 when I was in Bangkok, Thailand.\",\"I ate Italian food at Victory Monument with Benjamin, Avery, Willow on  2012/03/08 when I was in Bangkok, Thailand.\"\n7391,2012/03/08,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n7392,2012/03/08,I prepare tacos for lunch.,I prepare tacos for lunch.\n7393,2012/03/08,\"I had dinner with Willow, Avery. I ate indian food.\",\"I had dinner with Willow, Avery. I ate indian food.\"\n7394,2012/03/08,\"I spent 22 talking to Lydia, Rylee on various topics during lunch hours.\",\"I spent 22 talking to Lydia, Rylee on various topics during lunch hours.\"\n7395,2012/03/08,\"I talked to Piper, Kinsley, Lydia for 53 minutes in the late afternoon.\",\"I talked to Piper, Kinsley, Lydia for 53 minutes in the late afternoon.\"\n7396,2012/03/08,\"I spent 15 talking to Eva, Avery on various topics during lunch hours.\",\"I spent 15 talking to Eva, Avery on various topics during lunch hours.\"\n7397,2012/03/08,\"I talked to Avery, Rylee, Layla for 53 minutes late in the evening.\",\"I talked to Avery, Rylee, Layla for 53 minutes late in the evening.\"\n7398,2012/03/08,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n7399,2012/03/08,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n7400,2012/03/09,\"During my trip to Bangkok, Thailand, I visited Wat Traimit on 2012/03 with Benjamin, Avery, Willow.\",\"During my trip to Bangkok, Thailand, I visited Wat Traimit on 2012/03 with Benjamin, Avery, Willow.\"\n7401,2012/03/09,\"I ate Japanese food at Yaowarat with Benjamin, Avery, Willow on  2012/03/09 when I was in Bangkok, Thailand.\",\"I ate Japanese food at Yaowarat with Benjamin, Avery, Willow on  2012/03/09 when I was in Bangkok, Thailand.\"\n7402,2012/03/09,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n7403,2012/03/09,\"I had lunch with Nora, Claire, Avery, Rylee, Lydia, Piper, Eva, Hazel, Layla, Kinsley, Nevaeh, Piper. I ate sandwich.\",\"I had lunch with Nora, Claire, Avery, Rylee, Lydia, Piper, Eva, Hazel, Layla, Kinsley, Nevaeh, Piper. I ate sandwich.\"\n7404,2012/03/09,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n7405,2012/03/09,\"I talked to Claire, Olivia for 28 minutes in the early evening.\",\"I talked to Claire, Olivia for 28 minutes in the early evening.\"\n7406,2012/03/09,\"I talked to Claire, Rylee, Kinsley for 7 minutes in the morning.\",\"I talked to Claire, Rylee, Kinsley for 7 minutes in the morning.\"\n7407,2012/03/09,I spent 55 talking to Olivia on various topics late in the evening.,I spent 55 talking to Olivia on various topics late in the evening.\n7408,2012/03/09,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n7409,2012/03/09,I watched a movie for 12 minutes on TV today.,I watched a movie for 12 minutes on TV today.\n7410,2012/03/10,\"During my trip to Bangkok, Thailand, I visited Wat Arun on 2012/03 with Benjamin, Avery, Willow.\",\"During my trip to Bangkok, Thailand, I visited Wat Arun on 2012/03 with Benjamin, Avery, Willow.\"\n7411,2012/03/10,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n7412,2012/03/10,\"I had lunch with Jackson, Willow. I ate chinese food.\",\"I had lunch with Jackson, Willow. I ate chinese food.\"\n7413,2012/03/10,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n7414,2012/03/10,\"I spent 52 talking to Layla, Lydia, Rylee on various topics late in the evening.\",\"I spent 52 talking to Layla, Lydia, Rylee on various topics late in the evening.\"\n7415,2012/03/10,I spent 33 talking to Hazel on various topics in the morning.,I spent 33 talking to Hazel on various topics in the morning.\n7416,2012/03/10,\"I talked to Nevaeh, Hazel for 6 minutes during lunch hours.\",\"I talked to Nevaeh, Hazel for 6 minutes during lunch hours.\"\n7417,2012/03/10,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n7418,2012/03/10,I spent 36 minutes watching a documentary on TV today.,I spent 36 minutes watching a documentary on TV today.\n7419,2012/03/11,\"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2012/03 with Benjamin, Avery, Willow.\",\"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2012/03 with Benjamin, Avery, Willow.\"\n7420,2012/03/11,I went on a date with Marzieh on 2012/03/11 at a restaurant,I went on a date with Marzieh on 2012/03/11 at a restaurant\n7421,2012/03/11,\"I had breakfast with Benjamin, Willow, Jackson. I ate pancakes.\",\"I had breakfast with Benjamin, Willow, Jackson. I ate pancakes.\"\n7422,2012/03/11,\"I had lunch with Andrew, Kayden, Emily. I ate tacos.\",\"I had lunch with Andrew, Kayden, Emily. I ate tacos.\"\n7423,2012/03/11,I ate tacos for dinner.,I ate tacos for dinner.\n7424,2012/03/11,I talked to Kinsley for 48 minutes in the morning.,I talked to Kinsley for 48 minutes in the morning.\n7425,2012/03/11,\"I talked to Lydia, Hazel, Olivia, Kinsley for 53 minutes in the late afternoon.\",\"I talked to Lydia, Hazel, Olivia, Kinsley for 53 minutes in the late afternoon.\"\n7426,2012/03/11,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n7427,2012/03/11,I watched a tv series for 46 minutes on TV today.,I watched a tv series for 46 minutes on TV today.\n7428,2012/03/12,\"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2012/03 with Benjamin, Avery, Willow.\",\"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2012/03 with Benjamin, Avery, Willow.\"\n7429,2012/03/12,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n7430,2012/03/12,I prepare pasta for lunch.,I prepare pasta for lunch.\n7431,2012/03/12,I had dinner with Kayden. I ate fish and chips.,I had dinner with Kayden. I ate fish and chips.\n7432,2012/03/12,\"I talked to Piper, Kinsley, Nevaeh, Eva for 25 minutes in the early afternoon.\",\"I talked to Piper, Kinsley, Nevaeh, Eva for 25 minutes in the early afternoon.\"\n7433,2012/03/12,I spent 17 talking to Olivia on various topics in the late afternoon.,I spent 17 talking to Olivia on various topics in the late afternoon.\n7434,2012/03/12,\"I spent 27 talking to Avery, Piper, Hazel on various topics during lunch hours.\",\"I spent 27 talking to Avery, Piper, Hazel on various topics during lunch hours.\"\n7435,2012/03/12,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n7436,2012/03/12,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n7437,2012/03/13,I did swimming on 2012/03/13.,I did swimming on 2012/03/13.\n7438,2012/03/13,\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate pancakes.\",\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate pancakes.\"\n7439,2012/03/13,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n7440,2012/03/13,\"I had fish and chips for dinner with Rylee, Eva, Piper, Hazel, Olivia\",\"I had fish and chips for dinner with Rylee, Eva, Piper, Hazel, Olivia\"\n7441,2012/03/13,I talked to Eva for 12 minutes in the late afternoon.,I talked to Eva for 12 minutes in the late afternoon.\n7442,2012/03/13,\"I spent 39 talking to Layla, Kinsley, Claire on various topics late in the evening.\",\"I spent 39 talking to Layla, Kinsley, Claire on various topics late in the evening.\"\n7443,2012/03/13,\"I spent 47 talking to Layla, Claire, Olivia on various topics in the morning.\",\"I spent 47 talking to Layla, Claire, Olivia on various topics in the morning.\"\n7444,2012/03/13,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n7445,2012/03/13,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n7446,2012/03/14,\"I went grocery shopping. I bought some cherres, oranges, mangos, tea, and conditioner, toothpaste\",\"I went grocery shopping. I bought some cherres, oranges, mangos, tea, and conditioner, toothpaste\"\n7447,2012/03/14,I did hiking on 2012/03/14.,I did hiking on 2012/03/14.\n7448,2012/03/14,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n7449,2012/03/14,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n7450,2012/03/14,I prepare a burger for dinner.,I prepare a burger for dinner.\n7451,2012/03/14,\"I talked to Piper, Avery, Claire, Piper for 37 minutes in the morning.\",\"I talked to Piper, Avery, Claire, Piper for 37 minutes in the morning.\"\n7452,2012/03/14,\"I spent 39 talking to Hazel, Kinsley, Eva, Layla on various topics in the morning.\",\"I spent 39 talking to Hazel, Kinsley, Eva, Layla on various topics in the morning.\"\n7453,2012/03/14,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n7454,2012/03/14,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n7455,2012/03/15,\"On 2012/03/15, I took Sebastian on a date to a coffee Shop\",\"On 2012/03/15, I took Sebastian on a date to a coffee Shop\"\n7456,2012/03/15,I did running on 2012/03/15.,I did running on 2012/03/15.\n7457,2012/03/15,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n7458,2012/03/15,I ate sandwich for lunch.,I ate sandwich for lunch.\n7459,2012/03/15,I prepare a burger for dinner.,I prepare a burger for dinner.\n7460,2012/03/15,\"I spent 47 talking to Layla, Lydia on various topics in the late afternoon.\",\"I spent 47 talking to Layla, Lydia on various topics in the late afternoon.\"\n7461,2012/03/15,\"I talked to Claire, Hazel, Nora for 37 minutes in the early evening.\",\"I talked to Claire, Hazel, Nora for 37 minutes in the early evening.\"\n7462,2012/03/15,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n7463,2012/03/15,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n7464,2012/03/16,I spent some time meditation on 2012/03/16.,I spent some time meditation on 2012/03/16.\n7465,2012/03/16,I did biking on 2012/03/16.,I did biking on 2012/03/16.\n7466,2012/03/16,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n7467,2012/03/16,I ate pasta for lunch.,I ate pasta for lunch.\n7468,2012/03/16,\"I had dinner with Olivia, Layla, Claire, Avery, Rylee, Piper, Nevaeh, Hazel, Eva. I ate chinese food.\",\"I had dinner with Olivia, Layla, Claire, Avery, Rylee, Piper, Nevaeh, Hazel, Eva. I ate chinese food.\"\n7469,2012/03/16,\"I talked to Claire, Eva, Piper, Olivia for 37 minutes in the early afternoon.\",\"I talked to Claire, Eva, Piper, Olivia for 37 minutes in the early afternoon.\"\n7470,2012/03/16,I talked to Layla for 41 minutes late in the evening.,I talked to Layla for 41 minutes late in the evening.\n7471,2012/03/16,I spent 39 talking to Hazel on various topics in the early evening.,I spent 39 talking to Hazel on various topics in the early evening.\n7472,2012/03/16,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n7473,2012/03/16,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n7474,2012/03/17,I did swimming on 2012/03/17.,I did swimming on 2012/03/17.\n7475,2012/03/17,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n7476,2012/03/17,I prepare tacos for lunch.,I prepare tacos for lunch.\n7477,2012/03/17,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n7478,2012/03/17,\"I spent 8 talking to Lydia, Piper, Layla, Eva on various topics in the early afternoon.\",\"I spent 8 talking to Lydia, Piper, Layla, Eva on various topics in the early afternoon.\"\n7479,2012/03/17,\"I spent 27 talking to Layla, Nevaeh, Rylee, Avery on various topics in the late afternoon.\",\"I spent 27 talking to Layla, Nevaeh, Rylee, Avery on various topics in the late afternoon.\"\n7480,2012/03/17,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n7481,2012/03/17,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n7482,2012/03/18,\"I bought some pears, strawberries, apples, nectarines, orange juice, mineral water, soda, shampoo, facial wash, shaving cream, paper towel from the grocery store. I saw Carter, Emily at the grocery store.\",\"I bought some pears, strawberries, apples, nectarines, orange juice, mineral water, soda, shampoo, facial wash, shaving cream, paper towel from the grocery store. I saw Carter, Emily at the grocery store.\"\n7483,2012/03/18,I did weight lifting on 2012/03/18.,I did weight lifting on 2012/03/18.\n7484,2012/03/18,\"I had peanut-butter-jam for breakfast with Rylee, Piper, Olivia, Layla, Lydia, Nevaeh, Claire, Avery, Hazel, Piper, Eva, Nora, Kinsley\",\"I had peanut-butter-jam for breakfast with Rylee, Piper, Olivia, Layla, Lydia, Nevaeh, Claire, Avery, Hazel, Piper, Eva, Nora, Kinsley\"\n7485,2012/03/18,\"I had chinese food for lunch with Rylee, Eva, Piper, Nevaeh, Layla, Hazel\",\"I had chinese food for lunch with Rylee, Eva, Piper, Nevaeh, Layla, Hazel\"\n7486,2012/03/18,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n7487,2012/03/18,\"I talked to Claire, Piper, Kinsley for 8 minutes in the early afternoon.\",\"I talked to Claire, Piper, Kinsley for 8 minutes in the early afternoon.\"\n7488,2012/03/18,\"I spent 33 talking to Claire, Nora, Eva, Piper on various topics in the early evening.\",\"I spent 33 talking to Claire, Nora, Eva, Piper on various topics in the early evening.\"\n7489,2012/03/18,\"I talked to Rylee, Lydia, Hazel, Olivia for 31 minutes in the morning.\",\"I talked to Rylee, Lydia, Hazel, Olivia for 31 minutes in the morning.\"\n7490,2012/03/18,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n7491,2012/03/18,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n7492,2012/03/19,I did running on 2012/03/19.,I did running on 2012/03/19.\n7493,2012/03/19,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n7494,2012/03/19,I prepare pasta for lunch.,I prepare pasta for lunch.\n7495,2012/03/19,\"I had tacos for dinner with Piper, Hazel, Eva, Olivia, Claire\",\"I had tacos for dinner with Piper, Hazel, Eva, Olivia, Claire\"\n7496,2012/03/19,I talked to Eva for 30 minutes during lunch hours.,I talked to Eva for 30 minutes during lunch hours.\n7497,2012/03/19,\"I spent 51 talking to Olivia, Hazel on various topics late in the evening.\",\"I spent 51 talking to Olivia, Hazel on various topics late in the evening.\"\n7498,2012/03/19,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n7499,2012/03/19,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n7500,2012/03/20,I did HIIT on 2012/03/20.,I did HIIT on 2012/03/20.\n7501,2012/03/20,\"I had eggs, sausages, and bread for breakfast with Carter\",\"I had eggs, sausages, and bread for breakfast with Carter\"\n7502,2012/03/20,I had tacos for lunch with Andrew,I had tacos for lunch with Andrew\n7503,2012/03/20,I ate tacos for dinner.,I ate tacos for dinner.\n7504,2012/03/20,\"I spent 23 talking to Piper, Kinsley, Nora on various topics late in the evening.\",\"I spent 23 talking to Piper, Kinsley, Nora on various topics late in the evening.\"\n7505,2012/03/20,\"I talked to Olivia, Kinsley for 49 minutes in the early afternoon.\",\"I talked to Olivia, Kinsley for 49 minutes in the early afternoon.\"\n7506,2012/03/20,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n7507,2012/03/20,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n7508,2012/03/21,\"I bought some mangos, raspberries, oranges, chocolate milk, shampoo, shaving cream from the grocery store. I saw Benjamin, Jackson, Willow at the grocery store.\",\"I bought some mangos, raspberries, oranges, chocolate milk, shampoo, shaving cream from the grocery store. I saw Benjamin, Jackson, Willow at the grocery store.\"\n7509,2012/03/21,I did biking on 2012/03/21.,I did biking on 2012/03/21.\n7510,2012/03/21,\"I had breakfast with Benjamin, Willow, Avery. I ate cereals.\",\"I had breakfast with Benjamin, Willow, Avery. I ate cereals.\"\n7511,2012/03/21,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n7512,2012/03/21,I had dinner. I ate steak.,I had dinner. I ate steak.\n7513,2012/03/21,I talked to Olivia for 52 minutes in the morning.,I talked to Olivia for 52 minutes in the morning.\n7514,2012/03/21,\"I talked to Nevaeh, Rylee for 26 minutes in the late afternoon.\",\"I talked to Nevaeh, Rylee for 26 minutes in the late afternoon.\"\n7515,2012/03/21,\"I talked to Olivia, Claire, Lydia, Avery for 24 minutes in the late afternoon.\",\"I talked to Olivia, Claire, Lydia, Avery for 24 minutes in the late afternoon.\"\n7516,2012/03/21,\"I spent 6 talking to Lydia, Piper, Layla on various topics in the morning.\",\"I spent 6 talking to Lydia, Piper, Layla on various topics in the morning.\"\n7517,2012/03/21,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n7518,2012/03/21,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n7519,2012/03/22,I did HIIT on 2012/03/22.,I did HIIT on 2012/03/22.\n7520,2012/03/22,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n7521,2012/03/22,I prepare pasta for lunch.,I prepare pasta for lunch.\n7522,2012/03/22,\"I had dinner with Emily, Andrew, Carter. I ate sandwich.\",\"I had dinner with Emily, Andrew, Carter. I ate sandwich.\"\n7523,2012/03/22,\"I talked to Eva, Claire, Nora for 39 minutes in the late afternoon.\",\"I talked to Eva, Claire, Nora for 39 minutes in the late afternoon.\"\n7524,2012/03/22,\"I talked to Piper, Olivia, Claire for 51 minutes in the late afternoon.\",\"I talked to Piper, Olivia, Claire for 51 minutes in the late afternoon.\"\n7525,2012/03/22,I spent 30 talking to Claire on various topics in the morning.,I spent 30 talking to Claire on various topics in the morning.\n7526,2012/03/22,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n7527,2012/03/22,I watched a documentary for 48 minutes on TV today.,I watched a documentary for 48 minutes on TV today.\n7528,2012/03/23,I did HIIT on 2012/03/23.,I did HIIT on 2012/03/23.\n7529,2012/03/23,\"I had eggs, sausages, and bread for breakfast with Carter\",\"I had eggs, sausages, and bread for breakfast with Carter\"\n7530,2012/03/23,\"I had lunch with Lydia, Avery, Piper, Rylee. I ate sandwich.\",\"I had lunch with Lydia, Avery, Piper, Rylee. I ate sandwich.\"\n7531,2012/03/23,I ate indian food for dinner.,I ate indian food for dinner.\n7532,2012/03/23,I spent 17 talking to Nevaeh on various topics in the early afternoon.,I spent 17 talking to Nevaeh on various topics in the early afternoon.\n7533,2012/03/23,\"I talked to Avery, Hazel, Rylee for 48 minutes in the early afternoon.\",\"I talked to Avery, Hazel, Rylee for 48 minutes in the early afternoon.\"\n7534,2012/03/23,\"I spent 35 talking to Claire, Hazel, Nevaeh on various topics in the late afternoon.\",\"I spent 35 talking to Claire, Hazel, Nevaeh on various topics in the late afternoon.\"\n7535,2012/03/23,I talked to Piper for 44 minutes in the morning.,I talked to Piper for 44 minutes in the morning.\n7536,2012/03/23,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n7537,2012/03/23,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n7538,2012/03/24,\"On 2012/03/24, I took Emma on a date to a boba shop\",\"On 2012/03/24, I took Emma on a date to a boba shop\"\n7539,2012/03/24,I did swimming on 2012/03/24.,I did swimming on 2012/03/24.\n7540,2012/03/24,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n7541,2012/03/24,\"I had a burger for lunch with Andrew, Kayden, Emily\",\"I had a burger for lunch with Andrew, Kayden, Emily\"\n7542,2012/03/24,\"I had chinese food for dinner with Carter, Kayden\",\"I had chinese food for dinner with Carter, Kayden\"\n7543,2012/03/24,\"I spent 41 talking to Nevaeh, Kinsley, Piper, Layla on various topics in the early evening.\",\"I spent 41 talking to Nevaeh, Kinsley, Piper, Layla on various topics in the early evening.\"\n7544,2012/03/24,\"I spent 23 talking to Avery, Olivia, Lydia, Eva on various topics in the morning.\",\"I spent 23 talking to Avery, Olivia, Lydia, Eva on various topics in the morning.\"\n7545,2012/03/24,\"I spent 28 talking to Eva, Claire, Olivia, Nevaeh on various topics in the early afternoon.\",\"I spent 28 talking to Eva, Claire, Olivia, Nevaeh on various topics in the early afternoon.\"\n7546,2012/03/24,I spent 19 talking to Nora on various topics in the early evening.,I spent 19 talking to Nora on various topics in the early evening.\n7547,2012/03/24,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n7548,2012/03/24,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n7549,2012/03/25,\"I bought some mandarins, chocolate milk, sports drinks, coffee, toothbrush, shampoo, body lotion, conditioner online.\",\"I bought some mandarins, chocolate milk, sports drinks, coffee, toothbrush, shampoo, body lotion, conditioner online.\"\n7550,2012/03/25,I did HIIT on 2012/03/25.,I did HIIT on 2012/03/25.\n7551,2012/03/25,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n7552,2012/03/25,I ate tacos for lunch.,I ate tacos for lunch.\n7553,2012/03/25,\"I had dinner with Layla, Piper, Claire, Rylee, Lydia, Eva, Piper, Avery, Nevaeh, Nora, Olivia. I ate sandwich.\",\"I had dinner with Layla, Piper, Claire, Rylee, Lydia, Eva, Piper, Avery, Nevaeh, Nora, Olivia. I ate sandwich.\"\n7554,2012/03/25,I talked to Eva for 23 minutes in the early afternoon.,I talked to Eva for 23 minutes in the early afternoon.\n7555,2012/03/25,\"I talked to Nora, Olivia, Eva for 46 minutes late in the evening.\",\"I talked to Nora, Olivia, Eva for 46 minutes late in the evening.\"\n7556,2012/03/25,\"I spent 47 talking to Nora, Kinsley, Rylee on various topics in the early evening.\",\"I spent 47 talking to Nora, Kinsley, Rylee on various topics in the early evening.\"\n7557,2012/03/25,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n7558,2012/03/25,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n7559,2012/03/26,I really enjoyed learning a language on 2012/03/26,I really enjoyed learning a language on 2012/03/26\n7560,2012/03/26,I did swimming on 2012/03/26.,I did swimming on 2012/03/26.\n7561,2012/03/26,I had breakfast with Emily. I ate oatmeal.,I had breakfast with Emily. I ate oatmeal.\n7562,2012/03/26,\"I had lunch with Emily, Carter, Kayden. I ate pasta.\",\"I had lunch with Emily, Carter, Kayden. I ate pasta.\"\n7563,2012/03/26,I prepare steak for dinner.,I prepare steak for dinner.\n7564,2012/03/26,I spent 41 talking to Nora on various topics in the late afternoon.,I spent 41 talking to Nora on various topics in the late afternoon.\n7565,2012/03/26,\"I talked to Claire, Olivia, Lydia, Hazel for 53 minutes late in the evening.\",\"I talked to Claire, Olivia, Lydia, Hazel for 53 minutes late in the evening.\"\n7566,2012/03/26,\"I talked to Kinsley, Nevaeh, Piper for 6 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh, Piper for 6 minutes late in the evening.\"\n7567,2012/03/26,\"I spent 15 talking to Piper, Eva, Lydia, Hazel on various topics late in the evening.\",\"I spent 15 talking to Piper, Eva, Lydia, Hazel on various topics late in the evening.\"\n7568,2012/03/26,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n7569,2012/03/26,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n7570,2012/03/27,I did running on 2012/03/27.,I did running on 2012/03/27.\n7571,2012/03/27,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n7572,2012/03/27,I ate indian food for lunch.,I ate indian food for lunch.\n7573,2012/03/27,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n7574,2012/03/27,\"I spent 27 talking to Nora, Avery, Lydia on various topics in the early afternoon.\",\"I spent 27 talking to Nora, Avery, Lydia on various topics in the early afternoon.\"\n7575,2012/03/27,\"I spent 52 talking to Claire, Piper, Nora, Avery on various topics in the early evening.\",\"I spent 52 talking to Claire, Piper, Nora, Avery on various topics in the early evening.\"\n7576,2012/03/27,\"I talked to Nevaeh, Lydia, Claire, Hazel for 17 minutes during lunch hours.\",\"I talked to Nevaeh, Lydia, Claire, Hazel for 17 minutes during lunch hours.\"\n7577,2012/03/27,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n7578,2012/03/27,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n7579,2012/03/28,I did HIIT on 2012/03/28.,I did HIIT on 2012/03/28.\n7580,2012/03/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n7581,2012/03/28,I prepare sushi for lunch.,I prepare sushi for lunch.\n7582,2012/03/28,\"I had pasta for dinner with Rylee, Claire, Layla\",\"I had pasta for dinner with Rylee, Claire, Layla\"\n7583,2012/03/28,I spent 26 talking to Piper on various topics in the late afternoon.,I spent 26 talking to Piper on various topics in the late afternoon.\n7584,2012/03/28,\"I spent 11 talking to Lydia, Hazel, Nora on various topics during lunch hours.\",\"I spent 11 talking to Lydia, Hazel, Nora on various topics during lunch hours.\"\n7585,2012/03/28,\"I spent 45 talking to Olivia, Layla, Nora on various topics late in the evening.\",\"I spent 45 talking to Olivia, Layla, Nora on various topics late in the evening.\"\n7586,2012/03/28,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n7587,2012/03/28,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n7588,2012/03/29,I did weight lifting on 2012/03/29.,I did weight lifting on 2012/03/29.\n7589,2012/03/29,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n7590,2012/03/29,\"I had steak for lunch with Hazel, Eva, Avery, Kinsley, Piper, Piper, Rylee\",\"I had steak for lunch with Hazel, Eva, Avery, Kinsley, Piper, Piper, Rylee\"\n7591,2012/03/29,I ate indian food for dinner.,I ate indian food for dinner.\n7592,2012/03/29,I talked to Hazel for 39 minutes in the early evening.,I talked to Hazel for 39 minutes in the early evening.\n7593,2012/03/29,\"I spent 34 talking to Hazel, Eva on various topics late in the evening.\",\"I spent 34 talking to Hazel, Eva on various topics late in the evening.\"\n7594,2012/03/29,I talked to Hazel for 23 minutes in the morning.,I talked to Hazel for 23 minutes in the morning.\n7595,2012/03/29,I spent 19 talking to Claire on various topics during lunch hours.,I spent 19 talking to Claire on various topics during lunch hours.\n7596,2012/03/29,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n7597,2012/03/29,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n7598,2012/03/30,I went on a date with Roman on 2012/03/30 at a coffee Shop,I went on a date with Roman on 2012/03/30 at a coffee Shop\n7599,2012/03/30,I did hiking on 2012/03/30.,I did hiking on 2012/03/30.\n7600,2012/03/30,\"I had toast and cheese for breakfast with Hazel, Olivia\",\"I had toast and cheese for breakfast with Hazel, Olivia\"\n7601,2012/03/30,I ate pasta for lunch.,I ate pasta for lunch.\n7602,2012/03/30,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n7603,2012/03/30,\"I spent 36 talking to Lydia, Piper, Hazel, Nevaeh on various topics in the morning.\",\"I spent 36 talking to Lydia, Piper, Hazel, Nevaeh on various topics in the morning.\"\n7604,2012/03/30,\"I spent 44 talking to Lydia, Eva on various topics in the early evening.\",\"I spent 44 talking to Lydia, Eva on various topics in the early evening.\"\n7605,2012/03/30,\"I spent 17 talking to Olivia, Piper on various topics in the early afternoon.\",\"I spent 17 talking to Olivia, Piper on various topics in the early afternoon.\"\n7606,2012/03/30,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n7607,2012/03/30,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n7608,2012/03/31,\"I bought some mandarins, oranges, blueberries, soda, mango juice, shampoo, mouth wash, body lotion online.\",\"I bought some mandarins, oranges, blueberries, soda, mango juice, shampoo, mouth wash, body lotion online.\"\n7609,2012/03/31,I did biking on 2012/03/31.,I did biking on 2012/03/31.\n7610,2012/03/31,\"I had breakfast with Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\"\n7611,2012/03/31,\"I had sushi for lunch with Carter, Kayden, Andrew, Emily\",\"I had sushi for lunch with Carter, Kayden, Andrew, Emily\"\n7612,2012/03/31,\"I had dinner with Emily, Kayden. I ate a burger.\",\"I had dinner with Emily, Kayden. I ate a burger.\"\n7613,2012/03/31,\"I spent 14 talking to Olivia, Nevaeh, Lydia on various topics during lunch hours.\",\"I spent 14 talking to Olivia, Nevaeh, Lydia on various topics during lunch hours.\"\n7614,2012/03/31,\"I talked to Piper, Hazel, Piper for 50 minutes in the late afternoon.\",\"I talked to Piper, Hazel, Piper for 50 minutes in the late afternoon.\"\n7615,2012/03/31,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n7616,2012/03/31,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n7617,2012/04/01,I did biking on 2012/04/01.,I did biking on 2012/04/01.\n7618,2012/04/01,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n7619,2012/04/01,I ate indian food for lunch.,I ate indian food for lunch.\n7620,2012/04/01,\"I had pasta for dinner with Emily, Kayden, Carter\",\"I had pasta for dinner with Emily, Kayden, Carter\"\n7621,2012/04/01,\"I spent 28 talking to Hazel, Nevaeh, Rylee on various topics in the late afternoon.\",\"I spent 28 talking to Hazel, Nevaeh, Rylee on various topics in the late afternoon.\"\n7622,2012/04/01,I spent 20 talking to Nora on various topics in the early afternoon.,I spent 20 talking to Nora on various topics in the early afternoon.\n7623,2012/04/01,\"I spent 11 talking to Nevaeh, Piper on various topics during lunch hours.\",\"I spent 11 talking to Nevaeh, Piper on various topics during lunch hours.\"\n7624,2012/04/01,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n7625,2012/04/01,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n7626,2012/04/02,I did swimming on 2012/04/02.,I did swimming on 2012/04/02.\n7627,2012/04/02,I had toast and cheese for breakfast with Olivia,I had toast and cheese for breakfast with Olivia\n7628,2012/04/02,I had fish and chips for lunch with Kayden,I had fish and chips for lunch with Kayden\n7629,2012/04/02,I ate pasta for dinner.,I ate pasta for dinner.\n7630,2012/04/02,\"I talked to Kinsley, Rylee for 17 minutes in the morning.\",\"I talked to Kinsley, Rylee for 17 minutes in the morning.\"\n7631,2012/04/02,\"I spent 43 talking to Hazel, Olivia, Lydia on various topics during lunch hours.\",\"I spent 43 talking to Hazel, Olivia, Lydia on various topics during lunch hours.\"\n7632,2012/04/02,\"I talked to Layla, Eva, Rylee, Nevaeh for 46 minutes during lunch hours.\",\"I talked to Layla, Eva, Rylee, Nevaeh for 46 minutes during lunch hours.\"\n7633,2012/04/02,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n7634,2012/04/02,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n7635,2012/04/03,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n7636,2012/04/03,\"I had lunch with Carter, Andrew, Emily, Kayden. I ate tacos.\",\"I had lunch with Carter, Andrew, Emily, Kayden. I ate tacos.\"\n7637,2012/04/03,I ate sandwich for dinner.,I ate sandwich for dinner.\n7638,2012/04/03,\"I spent 5 talking to Olivia, Piper, Rylee, Piper on various topics in the early afternoon.\",\"I spent 5 talking to Olivia, Piper, Rylee, Piper on various topics in the early afternoon.\"\n7639,2012/04/03,\"I spent 39 talking to Olivia, Hazel, Kinsley on various topics in the early afternoon.\",\"I spent 39 talking to Olivia, Hazel, Kinsley on various topics in the early afternoon.\"\n7640,2012/04/03,I spent 11 talking to Layla on various topics in the early afternoon.,I spent 11 talking to Layla on various topics in the early afternoon.\n7641,2012/04/03,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n7642,2012/04/03,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n7643,2012/04/04,I did swimming on 2012/04/04.,I did swimming on 2012/04/04.\n7644,2012/04/04,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n7645,2012/04/04,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n7646,2012/04/04,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n7647,2012/04/04,I spent 42 talking to Hazel on various topics in the early afternoon.,I spent 42 talking to Hazel on various topics in the early afternoon.\n7648,2012/04/04,\"I talked to Claire, Nora for 27 minutes during lunch hours.\",\"I talked to Claire, Nora for 27 minutes during lunch hours.\"\n7649,2012/04/04,\"I talked to Layla, Claire, Olivia for 49 minutes late in the evening.\",\"I talked to Layla, Claire, Olivia for 49 minutes late in the evening.\"\n7650,2012/04/04,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n7651,2012/04/04,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n7652,2012/04/05,I went on a date with Quinn on 2012/04/05 at a park,I went on a date with Quinn on 2012/04/05 at a park\n7653,2012/04/05,\"I bought some watermelons, raspberries, peaches, nectarines, soda, milk, chocolate milk, tea, facial wash from the grocery store. I saw Kayden, Andrew, Carter, Emily at the grocery store.\",\"I bought some watermelons, raspberries, peaches, nectarines, soda, milk, chocolate milk, tea, facial wash from the grocery store. I saw Kayden, Andrew, Carter, Emily at the grocery store.\"\n7654,2012/04/05,I did swimming on 2012/04/05.,I did swimming on 2012/04/05.\n7655,2012/04/05,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n7656,2012/04/05,\"I had sandwich for lunch with Rylee, Nevaeh, Layla, Olivia, Nora, Piper, Lydia, Hazel\",\"I had sandwich for lunch with Rylee, Nevaeh, Layla, Olivia, Nora, Piper, Lydia, Hazel\"\n7657,2012/04/05,\"I had dinner with Avery, Kinsley, Nevaeh, Hazel, Piper, Eva, Lydia, Layla. I ate sushi.\",\"I had dinner with Avery, Kinsley, Nevaeh, Hazel, Piper, Eva, Lydia, Layla. I ate sushi.\"\n7658,2012/04/05,\"I talked to Piper, Rylee for 42 minutes in the early evening.\",\"I talked to Piper, Rylee for 42 minutes in the early evening.\"\n7659,2012/04/05,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n7660,2012/04/05,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n7661,2012/04/06,I did biking on 2012/04/06.,I did biking on 2012/04/06.\n7662,2012/04/06,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n7663,2012/04/06,\"I had sandwich for lunch with Piper, Layla, Hazel, Nora\",\"I had sandwich for lunch with Piper, Layla, Hazel, Nora\"\n7664,2012/04/06,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n7665,2012/04/06,I spent 10 talking to Olivia on various topics in the early afternoon.,I spent 10 talking to Olivia on various topics in the early afternoon.\n7666,2012/04/06,\"I spent 55 talking to Hazel, Piper, Piper on various topics in the morning.\",\"I spent 55 talking to Hazel, Piper, Piper on various topics in the morning.\"\n7667,2012/04/06,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n7668,2012/04/06,I spent 31 minutes watching a tv series on TV today.,I spent 31 minutes watching a tv series on TV today.\n7669,2012/04/07,I spent some time working out on 2012/04/07.,I spent some time working out on 2012/04/07.\n7670,2012/04/07,I did hiking on 2012/04/07.,I did hiking on 2012/04/07.\n7671,2012/04/07,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n7672,2012/04/07,I ate tacos for lunch.,I ate tacos for lunch.\n7673,2012/04/07,I prepare a burger for dinner.,I prepare a burger for dinner.\n7674,2012/04/07,\"I talked to Kinsley, Eva, Nora for 12 minutes in the early evening.\",\"I talked to Kinsley, Eva, Nora for 12 minutes in the early evening.\"\n7675,2012/04/07,\"I talked to Layla, Hazel, Claire, Olivia for 54 minutes in the late afternoon.\",\"I talked to Layla, Hazel, Claire, Olivia for 54 minutes in the late afternoon.\"\n7676,2012/04/07,\"I spent 28 talking to Claire, Nora on various topics in the early afternoon.\",\"I spent 28 talking to Claire, Nora on various topics in the early afternoon.\"\n7677,2012/04/07,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n7678,2012/04/07,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n7679,2012/04/08,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n7680,2012/04/08,I ate steak for lunch.,I ate steak for lunch.\n7681,2012/04/08,I prepare a burger for dinner.,I prepare a burger for dinner.\n7682,2012/04/08,\"I talked to Nevaeh, Piper, Layla for 39 minutes in the early evening.\",\"I talked to Nevaeh, Piper, Layla for 39 minutes in the early evening.\"\n7683,2012/04/08,I talked to Hazel for 16 minutes during lunch hours.,I talked to Hazel for 16 minutes during lunch hours.\n7684,2012/04/08,\"I talked to Kinsley, Rylee for 14 minutes during lunch hours.\",\"I talked to Kinsley, Rylee for 14 minutes during lunch hours.\"\n7685,2012/04/08,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n7686,2012/04/08,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n7687,2012/04/09,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n7688,2012/04/09,I had lunch with Willow. I ate chinese food.,I had lunch with Willow. I ate chinese food.\n7689,2012/04/09,\"I had dinner with Eva, Nevaeh, Avery, Layla, Lydia, Kinsley, Olivia, Piper. I ate sushi.\",\"I had dinner with Eva, Nevaeh, Avery, Layla, Lydia, Kinsley, Olivia, Piper. I ate sushi.\"\n7690,2012/04/09,\"I spent 19 talking to Hazel, Avery on various topics in the morning.\",\"I spent 19 talking to Hazel, Avery on various topics in the morning.\"\n7691,2012/04/09,\"I spent 28 talking to Lydia, Hazel, Nevaeh, Avery on various topics late in the evening.\",\"I spent 28 talking to Lydia, Hazel, Nevaeh, Avery on various topics late in the evening.\"\n7692,2012/04/09,\"I spent 40 talking to Nevaeh, Rylee, Kinsley, Eva on various topics in the early evening.\",\"I spent 40 talking to Nevaeh, Rylee, Kinsley, Eva on various topics in the early evening.\"\n7693,2012/04/09,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n7694,2012/04/09,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n7695,2012/04/10,\"I bought some apricots, tea, guava juice, pineapple juice, orange juice, shaving cream, body lotion online.\",\"I bought some apricots, tea, guava juice, pineapple juice, orange juice, shaving cream, body lotion online.\"\n7696,2012/04/10,I did weight lifting on 2012/04/10.,I did weight lifting on 2012/04/10.\n7697,2012/04/10,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n7698,2012/04/10,I had lunch with Kayden. I ate tacos.,I had lunch with Kayden. I ate tacos.\n7699,2012/04/10,I had steak for dinner with Carter,I had steak for dinner with Carter\n7700,2012/04/10,\"I spent 23 talking to Lydia, Nora on various topics late in the evening.\",\"I spent 23 talking to Lydia, Nora on various topics late in the evening.\"\n7701,2012/04/10,\"I talked to Layla, Lydia for 9 minutes during lunch hours.\",\"I talked to Layla, Lydia for 9 minutes during lunch hours.\"\n7702,2012/04/10,I spent 44 talking to Claire on various topics in the early afternoon.,I spent 44 talking to Claire on various topics in the early afternoon.\n7703,2012/04/10,\"I talked to Piper, Nevaeh for 9 minutes in the morning.\",\"I talked to Piper, Nevaeh for 9 minutes in the morning.\"\n7704,2012/04/10,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n7705,2012/04/10,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n7706,2012/04/11,I did HIIT on 2012/04/11.,I did HIIT on 2012/04/11.\n7707,2012/04/11,\"I had cereals for breakfast with Carter, Andrew, Kayden, Emily\",\"I had cereals for breakfast with Carter, Andrew, Kayden, Emily\"\n7708,2012/04/11,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n7709,2012/04/11,\"I had dinner with Jackson, Avery, Willow. I ate sushi.\",\"I had dinner with Jackson, Avery, Willow. I ate sushi.\"\n7710,2012/04/11,\"I talked to Nora, Rylee, Piper, Nevaeh for 30 minutes during lunch hours.\",\"I talked to Nora, Rylee, Piper, Nevaeh for 30 minutes during lunch hours.\"\n7711,2012/04/11,\"I spent 30 talking to Nora, Nevaeh, Piper, Olivia on various topics in the early afternoon.\",\"I spent 30 talking to Nora, Nevaeh, Piper, Olivia on various topics in the early afternoon.\"\n7712,2012/04/11,\"I spent 17 talking to Nora, Avery, Kinsley, Layla on various topics in the early evening.\",\"I spent 17 talking to Nora, Avery, Kinsley, Layla on various topics in the early evening.\"\n7713,2012/04/11,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n7714,2012/04/11,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n7715,2012/04/12,I did swimming on 2012/04/12.,I did swimming on 2012/04/12.\n7716,2012/04/12,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n7717,2012/04/12,I prepare indian food for lunch.,I prepare indian food for lunch.\n7718,2012/04/12,\"I had dinner with Andrew, Kayden, Emily, Carter. I ate sandwich.\",\"I had dinner with Andrew, Kayden, Emily, Carter. I ate sandwich.\"\n7719,2012/04/12,I talked to Nevaeh for 17 minutes in the late afternoon.,I talked to Nevaeh for 17 minutes in the late afternoon.\n7720,2012/04/12,I spent 48 talking to Piper on various topics in the early evening.,I spent 48 talking to Piper on various topics in the early evening.\n7721,2012/04/12,\"I spent 18 talking to Claire, Rylee, Kinsley on various topics during lunch hours.\",\"I spent 18 talking to Claire, Rylee, Kinsley on various topics during lunch hours.\"\n7722,2012/04/12,\"I spent 7 talking to Nora, Layla, Kinsley on various topics late in the evening.\",\"I spent 7 talking to Nora, Layla, Kinsley on various topics late in the evening.\"\n7723,2012/04/12,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n7724,2012/04/12,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n7725,2012/04/13,\"I bought some watermelons, chocolate milk, soda, sports drinks, conditioner, shampoo online.\",\"I bought some watermelons, chocolate milk, soda, sports drinks, conditioner, shampoo online.\"\n7726,2012/04/13,I did weight lifting on 2012/04/13.,I did weight lifting on 2012/04/13.\n7727,2012/04/13,\"I had peanut-butter-jam for breakfast with Piper, Kinsley, Nevaeh, Claire, Piper, Layla, Lydia, Avery, Eva, Nora, Rylee\",\"I had peanut-butter-jam for breakfast with Piper, Kinsley, Nevaeh, Claire, Piper, Layla, Lydia, Avery, Eva, Nora, Rylee\"\n7728,2012/04/13,\"I had lunch with Piper, Nora, Layla, Rylee. I ate chinese food.\",\"I had lunch with Piper, Nora, Layla, Rylee. I ate chinese food.\"\n7729,2012/04/13,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n7730,2012/04/13,\"I talked to Lydia, Layla, Avery for 27 minutes in the early evening.\",\"I talked to Lydia, Layla, Avery for 27 minutes in the early evening.\"\n7731,2012/04/13,\"I talked to Layla, Rylee, Kinsley, Piper for 16 minutes in the morning.\",\"I talked to Layla, Rylee, Kinsley, Piper for 16 minutes in the morning.\"\n7732,2012/04/13,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n7733,2012/04/13,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n7734,2012/04/14,I went on a date with Everleigh on 2012/04/14 at a park,I went on a date with Everleigh on 2012/04/14 at a park\n7735,2012/04/14,I did swimming on 2012/04/14.,I did swimming on 2012/04/14.\n7736,2012/04/14,\"I had oatmeal for breakfast with Jackson, Willow, Avery, Benjamin\",\"I had oatmeal for breakfast with Jackson, Willow, Avery, Benjamin\"\n7737,2012/04/14,I prepare steak for lunch.,I prepare steak for lunch.\n7738,2012/04/14,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n7739,2012/04/14,\"I talked to Piper, Avery, Claire, Hazel for 7 minutes in the early afternoon.\",\"I talked to Piper, Avery, Claire, Hazel for 7 minutes in the early afternoon.\"\n7740,2012/04/14,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n7741,2012/04/14,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n7742,2012/04/15,I had breakfast with Piper. I ate pancakes.,I had breakfast with Piper. I ate pancakes.\n7743,2012/04/15,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n7744,2012/04/15,\"I had sushi for dinner with Avery, Willow, Benjamin, Jackson\",\"I had sushi for dinner with Avery, Willow, Benjamin, Jackson\"\n7745,2012/04/15,\"I talked to Nevaeh, Rylee for 45 minutes during lunch hours.\",\"I talked to Nevaeh, Rylee for 45 minutes during lunch hours.\"\n7746,2012/04/15,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n7747,2012/04/15,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n7748,2012/04/16,I did weight lifting on 2012/04/16.,I did weight lifting on 2012/04/16.\n7749,2012/04/16,\"I had breakfast with Piper, Claire, Hazel, Rylee, Nora, Avery, Layla, Piper, Nevaeh, Eva. I ate oatmeal.\",\"I had breakfast with Piper, Claire, Hazel, Rylee, Nora, Avery, Layla, Piper, Nevaeh, Eva. I ate oatmeal.\"\n7750,2012/04/16,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n7751,2012/04/16,I ate tacos for dinner.,I ate tacos for dinner.\n7752,2012/04/16,\"I talked to Nevaeh, Lydia for 38 minutes in the early evening.\",\"I talked to Nevaeh, Lydia for 38 minutes in the early evening.\"\n7753,2012/04/16,I talked to Rylee for 46 minutes in the morning.,I talked to Rylee for 46 minutes in the morning.\n7754,2012/04/16,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n7755,2012/04/16,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n7756,2012/04/17,I went on a date with Isaiah on 2012/04/17 at a coffee Shop,I went on a date with Isaiah on 2012/04/17 at a coffee Shop\n7757,2012/04/17,\"I bought some peaches, apple juice, mango juice, shampoo, paper towel, toothbrush, shaving cream online.\",\"I bought some peaches, apple juice, mango juice, shampoo, paper towel, toothbrush, shaving cream online.\"\n7758,2012/04/17,I did hiking on 2012/04/17.,I did hiking on 2012/04/17.\n7759,2012/04/17,\"I had toast and cheese for breakfast with Jackson, Willow, Avery\",\"I had toast and cheese for breakfast with Jackson, Willow, Avery\"\n7760,2012/04/17,\"I had lunch with Benjamin, Jackson, Avery, Willow. I ate chinese food.\",\"I had lunch with Benjamin, Jackson, Avery, Willow. I ate chinese food.\"\n7761,2012/04/17,\"I had pasta for dinner with Hazel, Avery, Eva, Claire, Nora, Piper\",\"I had pasta for dinner with Hazel, Avery, Eva, Claire, Nora, Piper\"\n7762,2012/04/17,\"I talked to Claire, Piper, Nora for 20 minutes in the late afternoon.\",\"I talked to Claire, Piper, Nora for 20 minutes in the late afternoon.\"\n7763,2012/04/17,\"I talked to Kinsley, Lydia, Piper for 21 minutes during lunch hours.\",\"I talked to Kinsley, Lydia, Piper for 21 minutes during lunch hours.\"\n7764,2012/04/17,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n7765,2012/04/17,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n7766,2012/04/18,I did hiking on 2012/04/18.,I did hiking on 2012/04/18.\n7767,2012/04/18,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n7768,2012/04/18,I had lunch. I ate steak.,I had lunch. I ate steak.\n7769,2012/04/18,\"I had dinner with Nora, Rylee, Nevaeh, Hazel, Piper. I ate sushi.\",\"I had dinner with Nora, Rylee, Nevaeh, Hazel, Piper. I ate sushi.\"\n7770,2012/04/18,\"I talked to Nora, Rylee, Piper for 17 minutes in the early afternoon.\",\"I talked to Nora, Rylee, Piper for 17 minutes in the early afternoon.\"\n7771,2012/04/18,I talked to Hazel for 39 minutes during lunch hours.,I talked to Hazel for 39 minutes during lunch hours.\n7772,2012/04/18,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n7773,2012/04/18,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n7774,2012/04/19,\"I went grocery shopping. I bought some mangos, soda, and mouthwash\",\"I went grocery shopping. I bought some mangos, soda, and mouthwash\"\n7775,2012/04/19,I did HIIT on 2012/04/19.,I did HIIT on 2012/04/19.\n7776,2012/04/19,I had pancakes for breakfast with Emily,I had pancakes for breakfast with Emily\n7777,2012/04/19,\"I had lunch with Kayden, Emily. I ate indian food.\",\"I had lunch with Kayden, Emily. I ate indian food.\"\n7778,2012/04/19,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n7779,2012/04/19,\"I talked to Rylee, Claire, Eva for 52 minutes in the late afternoon.\",\"I talked to Rylee, Claire, Eva for 52 minutes in the late afternoon.\"\n7780,2012/04/19,\"I spent 15 talking to Hazel, Piper, Nevaeh on various topics during lunch hours.\",\"I spent 15 talking to Hazel, Piper, Nevaeh on various topics during lunch hours.\"\n7781,2012/04/19,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n7782,2012/04/19,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n7783,2012/04/20,\"On 2012/04/20, I took Skylar on a date to a coffee Shop\",\"On 2012/04/20, I took Skylar on a date to a coffee Shop\"\n7784,2012/04/20,I did HIIT on 2012/04/20.,I did HIIT on 2012/04/20.\n7785,2012/04/20,I had breakfast with Carter. I ate pancakes.,I had breakfast with Carter. I ate pancakes.\n7786,2012/04/20,\"I had a burger for lunch with Andrew, Emily\",\"I had a burger for lunch with Andrew, Emily\"\n7787,2012/04/20,I prepare a burger for dinner.,I prepare a burger for dinner.\n7788,2012/04/20,\"I talked to Nevaeh, Eva, Kinsley for 29 minutes in the early afternoon.\",\"I talked to Nevaeh, Eva, Kinsley for 29 minutes in the early afternoon.\"\n7789,2012/04/20,I talked to Hazel for 24 minutes in the early afternoon.,I talked to Hazel for 24 minutes in the early afternoon.\n7790,2012/04/20,I talked to Nora for 30 minutes in the late afternoon.,I talked to Nora for 30 minutes in the late afternoon.\n7791,2012/04/20,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n7792,2012/04/20,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n7793,2012/04/21,I did swimming on 2012/04/21.,I did swimming on 2012/04/21.\n7794,2012/04/21,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n7795,2012/04/21,I ate sushi for lunch.,I ate sushi for lunch.\n7796,2012/04/21,I ate chinese food for dinner.,I ate chinese food for dinner.\n7797,2012/04/21,\"I spent 46 talking to Piper, Kinsley, Piper on various topics during lunch hours.\",\"I spent 46 talking to Piper, Kinsley, Piper on various topics during lunch hours.\"\n7798,2012/04/21,\"I spent 53 talking to Eva, Olivia on various topics in the morning.\",\"I spent 53 talking to Eva, Olivia on various topics in the morning.\"\n7799,2012/04/21,\"I spent 24 talking to Kinsley, Nevaeh on various topics during lunch hours.\",\"I spent 24 talking to Kinsley, Nevaeh on various topics during lunch hours.\"\n7800,2012/04/21,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n7801,2012/04/21,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n7802,2012/04/22,\"I went grocery shopping. I bought some blackberries, watermelons, pears, tea, milk, mango juice, and shaving cream, mouthwash\",\"I went grocery shopping. I bought some blackberries, watermelons, pears, tea, milk, mango juice, and shaving cream, mouthwash\"\n7803,2012/04/22,I had breakfast with Carter. I ate peanut-butter-jam.,I had breakfast with Carter. I ate peanut-butter-jam.\n7804,2012/04/22,I ate sandwich for lunch.,I ate sandwich for lunch.\n7805,2012/04/22,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n7806,2012/04/22,\"I talked to Olivia, Layla for 36 minutes in the early afternoon.\",\"I talked to Olivia, Layla for 36 minutes in the early afternoon.\"\n7807,2012/04/22,\"I talked to Nevaeh, Kinsley for 23 minutes late in the evening.\",\"I talked to Nevaeh, Kinsley for 23 minutes late in the evening.\"\n7808,2012/04/22,I talked to Eva for 10 minutes in the late afternoon.,I talked to Eva for 10 minutes in the late afternoon.\n7809,2012/04/22,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n7810,2012/04/22,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n7811,2012/04/23,I did hiking on 2012/04/23.,I did hiking on 2012/04/23.\n7812,2012/04/23,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n7813,2012/04/23,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n7814,2012/04/23,I ate indian food for dinner.,I ate indian food for dinner.\n7815,2012/04/23,\"I talked to Olivia, Claire, Rylee for 26 minutes in the late afternoon.\",\"I talked to Olivia, Claire, Rylee for 26 minutes in the late afternoon.\"\n7816,2012/04/23,I spent 50 talking to Olivia on various topics in the late afternoon.,I spent 50 talking to Olivia on various topics in the late afternoon.\n7817,2012/04/23,\"I talked to Olivia, Claire, Layla, Nevaeh for 51 minutes in the morning.\",\"I talked to Olivia, Claire, Layla, Nevaeh for 51 minutes in the morning.\"\n7818,2012/04/23,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n7819,2012/04/23,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n7820,2012/04/24,I did swimming on 2012/04/24.,I did swimming on 2012/04/24.\n7821,2012/04/24,I had breakfast with Emily. I ate cereals.,I had breakfast with Emily. I ate cereals.\n7822,2012/04/24,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n7823,2012/04/24,I ate sandwich for dinner.,I ate sandwich for dinner.\n7824,2012/04/24,\"I spent 31 talking to Claire, Layla, Lydia on various topics in the morning.\",\"I spent 31 talking to Claire, Layla, Lydia on various topics in the morning.\"\n7825,2012/04/24,\"I spent 9 talking to Hazel, Nevaeh, Claire, Olivia on various topics in the morning.\",\"I spent 9 talking to Hazel, Nevaeh, Claire, Olivia on various topics in the morning.\"\n7826,2012/04/24,\"I spent 13 talking to Layla, Piper, Avery on various topics late in the evening.\",\"I spent 13 talking to Layla, Piper, Avery on various topics late in the evening.\"\n7827,2012/04/24,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n7828,2012/04/24,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n7829,2012/04/25,\"On 2012/04/25, I took Adam on a date to a coffee Shop\",\"On 2012/04/25, I took Adam on a date to a coffee Shop\"\n7830,2012/04/25,I spent time yoga on 2012/04/25 with Carter.,I spent time yoga on 2012/04/25 with Carter.\n7831,2012/04/25,\"I went grocery shopping with Olivia, Lydia, Kinsley, Avery, Eva, Nevaeh. I bought some apples, bananas, strawberries, tea, pineapple juice, mango juice, and mouth wash, toilet paper, body lotion\",\"I went grocery shopping with Olivia, Lydia, Kinsley, Avery, Eva, Nevaeh. I bought some apples, bananas, strawberries, tea, pineapple juice, mango juice, and mouth wash, toilet paper, body lotion\"\n7832,2012/04/25,I did running on 2012/04/25.,I did running on 2012/04/25.\n7833,2012/04/25,\"I had breakfast with Hazel, Kinsley, Piper, Nevaeh, Layla, Avery, Olivia, Eva. I ate oatmeal.\",\"I had breakfast with Hazel, Kinsley, Piper, Nevaeh, Layla, Avery, Olivia, Eva. I ate oatmeal.\"\n7834,2012/04/25,I ate steak for lunch.,I ate steak for lunch.\n7835,2012/04/25,\"I had dinner with Carter, Andrew, Emily, Kayden. I ate tacos.\",\"I had dinner with Carter, Andrew, Emily, Kayden. I ate tacos.\"\n7836,2012/04/25,\"I talked to Avery, Nevaeh, Eva, Olivia for 9 minutes in the early afternoon.\",\"I talked to Avery, Nevaeh, Eva, Olivia for 9 minutes in the early afternoon.\"\n7837,2012/04/25,I talked to Piper for 20 minutes in the early afternoon.,I talked to Piper for 20 minutes in the early afternoon.\n7838,2012/04/25,\"I talked to Kinsley, Nevaeh, Layla for 43 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh, Layla for 43 minutes late in the evening.\"\n7839,2012/04/25,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n7840,2012/04/25,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n7841,2012/04/26,I did running on 2012/04/26.,I did running on 2012/04/26.\n7842,2012/04/26,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n7843,2012/04/26,I had lunch. I ate steak.,I had lunch. I ate steak.\n7844,2012/04/26,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n7845,2012/04/26,\"I spent 20 talking to Eva, Avery, Claire, Rylee on various topics in the late afternoon.\",\"I spent 20 talking to Eva, Avery, Claire, Rylee on various topics in the late afternoon.\"\n7846,2012/04/26,\"I talked to Eva, Rylee for 11 minutes late in the evening.\",\"I talked to Eva, Rylee for 11 minutes late in the evening.\"\n7847,2012/04/26,\"I talked to Eva, Hazel, Lydia for 25 minutes in the early afternoon.\",\"I talked to Eva, Hazel, Lydia for 25 minutes in the early afternoon.\"\n7848,2012/04/26,\"I spent 29 talking to Piper, Lydia, Olivia on various topics in the early evening.\",\"I spent 29 talking to Piper, Lydia, Olivia on various topics in the early evening.\"\n7849,2012/04/26,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n7850,2012/04/26,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n7851,2012/04/27,I did hiking on 2012/04/27.,I did hiking on 2012/04/27.\n7852,2012/04/27,\"I had cereals for breakfast with Layla, Kinsley\",\"I had cereals for breakfast with Layla, Kinsley\"\n7853,2012/04/27,\"I had a burger for lunch with Piper, Hazel, Nevaeh, Eva, Avery, Claire, Nora, Piper, Kinsley\",\"I had a burger for lunch with Piper, Hazel, Nevaeh, Eva, Avery, Claire, Nora, Piper, Kinsley\"\n7854,2012/04/27,I prepare pasta for dinner.,I prepare pasta for dinner.\n7855,2012/04/27,I talked to Layla for 34 minutes in the late afternoon.,I talked to Layla for 34 minutes in the late afternoon.\n7856,2012/04/27,\"I spent 26 talking to Eva, Hazel, Olivia on various topics in the morning.\",\"I spent 26 talking to Eva, Hazel, Olivia on various topics in the morning.\"\n7857,2012/04/27,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n7858,2012/04/27,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n7859,2012/04/28,I did hiking on 2012/04/28.,I did hiking on 2012/04/28.\n7860,2012/04/28,\"I had breakfast with Avery, Jackson. I ate pancakes.\",\"I had breakfast with Avery, Jackson. I ate pancakes.\"\n7861,2012/04/28,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n7862,2012/04/28,I ate tacos for dinner.,I ate tacos for dinner.\n7863,2012/04/28,\"I spent 53 talking to Kinsley, Layla, Piper on various topics in the late afternoon.\",\"I spent 53 talking to Kinsley, Layla, Piper on various topics in the late afternoon.\"\n7864,2012/04/28,\"I talked to Piper, Kinsley, Rylee for 17 minutes in the early evening.\",\"I talked to Piper, Kinsley, Rylee for 17 minutes in the early evening.\"\n7865,2012/04/28,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n7866,2012/04/28,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n7867,2012/04/29,\"I spent time gardening on 2012/04/29 with Benjamin, Jackson.\",\"I spent time gardening on 2012/04/29 with Benjamin, Jackson.\"\n7868,2012/04/29,I did HIIT on 2012/04/29.,I did HIIT on 2012/04/29.\n7869,2012/04/29,\"I had toast and cheese for breakfast with Kayden, Emily, Carter, Andrew\",\"I had toast and cheese for breakfast with Kayden, Emily, Carter, Andrew\"\n7870,2012/04/29,\"I had indian food for lunch with Avery, Willow\",\"I had indian food for lunch with Avery, Willow\"\n7871,2012/04/29,\"I had dinner with Kinsley, Avery, Nora, Piper, Olivia, Hazel, Layla, Nevaeh, Claire, Eva, Rylee, Lydia. I ate sandwich.\",\"I had dinner with Kinsley, Avery, Nora, Piper, Olivia, Hazel, Layla, Nevaeh, Claire, Eva, Rylee, Lydia. I ate sandwich.\"\n7872,2012/04/29,\"I talked to Avery, Nora, Hazel for 16 minutes late in the evening.\",\"I talked to Avery, Nora, Hazel for 16 minutes late in the evening.\"\n7873,2012/04/29,\"I talked to Lydia, Hazel, Claire for 22 minutes in the late afternoon.\",\"I talked to Lydia, Hazel, Claire for 22 minutes in the late afternoon.\"\n7874,2012/04/29,\"I spent 8 talking to Piper, Olivia on various topics late in the evening.\",\"I spent 8 talking to Piper, Olivia on various topics late in the evening.\"\n7875,2012/04/29,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n7876,2012/04/29,I spent 36 minutes watching a documentary on TV today.,I spent 36 minutes watching a documentary on TV today.\n7877,2012/04/30,\"I went grocery shopping with Piper, Layla, Nevaeh, Rylee, Avery. I bought some strawberries, clementines, bananas, blackberries, orange juice, mineral water, coffee, tea, and toilet paper, shampoo, conditioner\",\"I went grocery shopping with Piper, Layla, Nevaeh, Rylee, Avery. I bought some strawberries, clementines, bananas, blackberries, orange juice, mineral water, coffee, tea, and toilet paper, shampoo, conditioner\"\n7878,2012/04/30,I did biking on 2012/04/30.,I did biking on 2012/04/30.\n7879,2012/04/30,\"I had breakfast with Avery, Willow, Benjamin. I ate cereals.\",\"I had breakfast with Avery, Willow, Benjamin. I ate cereals.\"\n7880,2012/04/30,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n7881,2012/04/30,I prepare steak for dinner.,I prepare steak for dinner.\n7882,2012/04/30,\"I spent 5 talking to Hazel, Piper on various topics in the early evening.\",\"I spent 5 talking to Hazel, Piper on various topics in the early evening.\"\n7883,2012/04/30,\"I spent 7 talking to Piper, Claire, Layla, Rylee on various topics in the early afternoon.\",\"I spent 7 talking to Piper, Claire, Layla, Rylee on various topics in the early afternoon.\"\n7884,2012/04/30,\"I spent 52 talking to Nora, Kinsley, Rylee on various topics in the early evening.\",\"I spent 52 talking to Nora, Kinsley, Rylee on various topics in the early evening.\"\n7885,2012/04/30,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n7886,2012/04/30,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n7887,2012/05/01,I went on a date with Gabriel on 2012/05/01 at a restaurant,I went on a date with Gabriel on 2012/05/01 at a restaurant\n7888,2012/05/01,I did swimming on 2012/05/01.,I did swimming on 2012/05/01.\n7889,2012/05/01,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n7890,2012/05/01,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n7891,2012/05/01,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n7892,2012/05/01,\"I spent 31 talking to Eva, Lydia on various topics during lunch hours.\",\"I spent 31 talking to Eva, Lydia on various topics during lunch hours.\"\n7893,2012/05/01,\"I spent 37 talking to Piper, Eva on various topics in the late afternoon.\",\"I spent 37 talking to Piper, Eva on various topics in the late afternoon.\"\n7894,2012/05/01,I spent 29 talking to Layla on various topics during lunch hours.,I spent 29 talking to Layla on various topics during lunch hours.\n7895,2012/05/01,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n7896,2012/05/01,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n7897,2012/05/02,\"I went grocery shopping. I bought some pears, tea, sports drinks, pineapple juice, and shampoo\",\"I went grocery shopping. I bought some pears, tea, sports drinks, pineapple juice, and shampoo\"\n7898,2012/05/02,I did hiking on 2012/05/02.,I did hiking on 2012/05/02.\n7899,2012/05/02,\"I had breakfast with Eva, Layla, Hazel, Avery, Piper, Olivia, Rylee, Nevaeh, Claire. I ate cereals.\",\"I had breakfast with Eva, Layla, Hazel, Avery, Piper, Olivia, Rylee, Nevaeh, Claire. I ate cereals.\"\n7900,2012/05/02,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n7901,2012/05/02,\"I had a burger for dinner with Claire, Hazel, Olivia, Avery, Piper, Nora, Nevaeh\",\"I had a burger for dinner with Claire, Hazel, Olivia, Avery, Piper, Nora, Nevaeh\"\n7902,2012/05/02,\"I talked to Claire, Nora, Rylee, Olivia for 22 minutes in the morning.\",\"I talked to Claire, Nora, Rylee, Olivia for 22 minutes in the morning.\"\n7903,2012/05/02,\"I spent 44 talking to Rylee, Piper, Eva, Layla on various topics in the late afternoon.\",\"I spent 44 talking to Rylee, Piper, Eva, Layla on various topics in the late afternoon.\"\n7904,2012/05/02,\"I talked to Avery, Kinsley, Layla, Piper for 46 minutes in the late afternoon.\",\"I talked to Avery, Kinsley, Layla, Piper for 46 minutes in the late afternoon.\"\n7905,2012/05/02,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n7906,2012/05/02,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n7907,2012/05/03,\"I had pancakes for breakfast with Lydia, Rylee, Avery, Hazel, Kinsley, Claire, Layla, Eva, Piper, Nevaeh, Piper\",\"I had pancakes for breakfast with Lydia, Rylee, Avery, Hazel, Kinsley, Claire, Layla, Eva, Piper, Nevaeh, Piper\"\n7908,2012/05/03,I prepare steak for lunch.,I prepare steak for lunch.\n7909,2012/05/03,I ate a burger for dinner.,I ate a burger for dinner.\n7910,2012/05/03,\"I spent 48 talking to Piper, Olivia, Eva on various topics in the morning.\",\"I spent 48 talking to Piper, Olivia, Eva on various topics in the morning.\"\n7911,2012/05/03,I spent 45 talking to Lydia on various topics in the early evening.,I spent 45 talking to Lydia on various topics in the early evening.\n7912,2012/05/03,\"I spent 32 talking to Eva, Piper on various topics late in the evening.\",\"I spent 32 talking to Eva, Piper on various topics late in the evening.\"\n7913,2012/05/03,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n7914,2012/05/03,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n7915,2012/05/04,I did swimming on 2012/05/04.,I did swimming on 2012/05/04.\n7916,2012/05/04,\"I had peanut-butter-jam for breakfast with Hazel, Piper, Rylee, Nora, Layla, Claire, Olivia\",\"I had peanut-butter-jam for breakfast with Hazel, Piper, Rylee, Nora, Layla, Claire, Olivia\"\n7917,2012/05/04,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n7918,2012/05/04,I had tacos for dinner with Emily,I had tacos for dinner with Emily\n7919,2012/05/04,\"I spent 39 talking to Claire, Piper, Piper on various topics late in the evening.\",\"I spent 39 talking to Claire, Piper, Piper on various topics late in the evening.\"\n7920,2012/05/04,\"I talked to Kinsley, Piper, Lydia, Olivia for 33 minutes late in the evening.\",\"I talked to Kinsley, Piper, Lydia, Olivia for 33 minutes late in the evening.\"\n7921,2012/05/04,\"I talked to Nevaeh, Eva for 23 minutes in the late afternoon.\",\"I talked to Nevaeh, Eva for 23 minutes in the late afternoon.\"\n7922,2012/05/04,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n7923,2012/05/04,I spent 54 minutes watching a movie on TV today.,I spent 54 minutes watching a movie on TV today.\n7924,2012/05/05,I did hiking on 2012/05/05.,I did hiking on 2012/05/05.\n7925,2012/05/05,I ate cereals for breakfast.,I ate cereals for breakfast.\n7926,2012/05/05,I ate indian food for lunch.,I ate indian food for lunch.\n7927,2012/05/05,\"I had chinese food for dinner with Avery, Benjamin, Jackson, Willow\",\"I had chinese food for dinner with Avery, Benjamin, Jackson, Willow\"\n7928,2012/05/05,\"I spent 53 talking to Piper, Avery, Rylee, Piper on various topics during lunch hours.\",\"I spent 53 talking to Piper, Avery, Rylee, Piper on various topics during lunch hours.\"\n7929,2012/05/05,I spent 48 talking to Lydia on various topics in the late afternoon.,I spent 48 talking to Lydia on various topics in the late afternoon.\n7930,2012/05/05,\"I spent 11 talking to Layla, Kinsley on various topics in the morning.\",\"I spent 11 talking to Layla, Kinsley on various topics in the morning.\"\n7931,2012/05/05,\"I spent 22 talking to Hazel, Olivia on various topics during lunch hours.\",\"I spent 22 talking to Hazel, Olivia on various topics during lunch hours.\"\n7932,2012/05/05,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n7933,2012/05/05,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n7934,2012/05/06,I did hiking on 2012/05/06.,I did hiking on 2012/05/06.\n7935,2012/05/06,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n7936,2012/05/06,I prepare pasta for lunch.,I prepare pasta for lunch.\n7937,2012/05/06,I had dinner with Avery. I ate sushi.,I had dinner with Avery. I ate sushi.\n7938,2012/05/06,I talked to Eva for 48 minutes during lunch hours.,I talked to Eva for 48 minutes during lunch hours.\n7939,2012/05/06,I talked to Rylee for 6 minutes in the early evening.,I talked to Rylee for 6 minutes in the early evening.\n7940,2012/05/06,\"I talked to Piper, Olivia for 46 minutes in the morning.\",\"I talked to Piper, Olivia for 46 minutes in the morning.\"\n7941,2012/05/06,\"I talked to Olivia, Hazel for 14 minutes in the early evening.\",\"I talked to Olivia, Hazel for 14 minutes in the early evening.\"\n7942,2012/05/06,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n7943,2012/05/06,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n7944,2012/05/07,I did swimming on 2012/05/07.,I did swimming on 2012/05/07.\n7945,2012/05/07,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n7946,2012/05/07,\"I had lunch with Piper, Rylee, Lydia, Kinsley, Hazel, Nora, Piper. I ate fish and chips.\",\"I had lunch with Piper, Rylee, Lydia, Kinsley, Hazel, Nora, Piper. I ate fish and chips.\"\n7947,2012/05/07,\"I had steak for dinner with Piper, Hazel, Nevaeh\",\"I had steak for dinner with Piper, Hazel, Nevaeh\"\n7948,2012/05/07,\"I spent 22 talking to Nevaeh, Claire, Olivia, Piper on various topics in the late afternoon.\",\"I spent 22 talking to Nevaeh, Claire, Olivia, Piper on various topics in the late afternoon.\"\n7949,2012/05/07,\"I spent 6 talking to Lydia, Nora on various topics late in the evening.\",\"I spent 6 talking to Lydia, Nora on various topics late in the evening.\"\n7950,2012/05/07,\"I talked to Hazel, Avery for 45 minutes in the late afternoon.\",\"I talked to Hazel, Avery for 45 minutes in the late afternoon.\"\n7951,2012/05/07,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n7952,2012/05/07,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n7953,2012/05/08,I did HIIT on 2012/05/08.,I did HIIT on 2012/05/08.\n7954,2012/05/08,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n7955,2012/05/08,I prepare sushi for lunch.,I prepare sushi for lunch.\n7956,2012/05/08,I ate indian food for dinner.,I ate indian food for dinner.\n7957,2012/05/08,\"I talked to Nevaeh, Layla, Rylee for 54 minutes late in the evening.\",\"I talked to Nevaeh, Layla, Rylee for 54 minutes late in the evening.\"\n7958,2012/05/08,\"I talked to Piper, Avery, Piper for 19 minutes in the early evening.\",\"I talked to Piper, Avery, Piper for 19 minutes in the early evening.\"\n7959,2012/05/08,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n7960,2012/05/08,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n7961,2012/05/09,I did weight lifting on 2012/05/09.,I did weight lifting on 2012/05/09.\n7962,2012/05/09,\"I had breakfast with Avery, Rylee, Layla, Claire, Lydia, Nevaeh, Eva, Kinsley, Nora, Piper, Olivia. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Rylee, Layla, Claire, Lydia, Nevaeh, Eva, Kinsley, Nora, Piper, Olivia. I ate peanut-butter-jam.\"\n7963,2012/05/09,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n7964,2012/05/09,\"I had dinner with Rylee, Nora, Claire, Eva, Olivia. I ate chinese food.\",\"I had dinner with Rylee, Nora, Claire, Eva, Olivia. I ate chinese food.\"\n7965,2012/05/09,I spent 40 talking to Kinsley on various topics in the morning.,I spent 40 talking to Kinsley on various topics in the morning.\n7966,2012/05/09,\"I talked to Piper, Layla, Hazel for 53 minutes in the early evening.\",\"I talked to Piper, Layla, Hazel for 53 minutes in the early evening.\"\n7967,2012/05/09,\"I spent 7 talking to Piper, Claire, Hazel, Nora on various topics in the late afternoon.\",\"I spent 7 talking to Piper, Claire, Hazel, Nora on various topics in the late afternoon.\"\n7968,2012/05/09,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n7969,2012/05/09,I spent 37 minutes watching a tv series on TV today.,I spent 37 minutes watching a tv series on TV today.\n7970,2012/05/10,\"I went grocery shopping. I bought some pineapples, clementines, guava, mango juice, mineral water, orange juice, coffee, and facial wash, toothbrush, paper towel\",\"I went grocery shopping. I bought some pineapples, clementines, guava, mango juice, mineral water, orange juice, coffee, and facial wash, toothbrush, paper towel\"\n7971,2012/05/10,I did weight lifting on 2012/05/10.,I did weight lifting on 2012/05/10.\n7972,2012/05/10,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n7973,2012/05/10,I had pasta for lunch with Layla,I had pasta for lunch with Layla\n7974,2012/05/10,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n7975,2012/05/10,\"I talked to Rylee, Hazel, Claire, Nevaeh for 31 minutes in the early afternoon.\",\"I talked to Rylee, Hazel, Claire, Nevaeh for 31 minutes in the early afternoon.\"\n7976,2012/05/10,\"I talked to Claire, Kinsley, Hazel, Eva for 39 minutes in the late afternoon.\",\"I talked to Claire, Kinsley, Hazel, Eva for 39 minutes in the late afternoon.\"\n7977,2012/05/10,I talked to Hazel for 17 minutes in the late afternoon.,I talked to Hazel for 17 minutes in the late afternoon.\n7978,2012/05/10,I talked to Piper for 31 minutes in the morning.,I talked to Piper for 31 minutes in the morning.\n7979,2012/05/10,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n7980,2012/05/10,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n7981,2012/05/11,\"On 2012/05/11, I took Cameron on a date to a coffee Shop\",\"On 2012/05/11, I took Cameron on a date to a coffee Shop\"\n7982,2012/05/11,I did hiking on 2012/05/11.,I did hiking on 2012/05/11.\n7983,2012/05/11,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n7984,2012/05/11,I prepare pasta for lunch.,I prepare pasta for lunch.\n7985,2012/05/11,I ate sandwich for dinner.,I ate sandwich for dinner.\n7986,2012/05/11,\"I spent 18 talking to Piper, Avery, Eva on various topics in the late afternoon.\",\"I spent 18 talking to Piper, Avery, Eva on various topics in the late afternoon.\"\n7987,2012/05/11,\"I spent 33 talking to Claire, Layla, Rylee on various topics in the early afternoon.\",\"I spent 33 talking to Claire, Layla, Rylee on various topics in the early afternoon.\"\n7988,2012/05/11,\"I talked to Nevaeh, Nora, Claire, Lydia for 32 minutes late in the evening.\",\"I talked to Nevaeh, Nora, Claire, Lydia for 32 minutes late in the evening.\"\n7989,2012/05/11,\"I spent 51 talking to Layla, Kinsley on various topics in the early afternoon.\",\"I spent 51 talking to Layla, Kinsley on various topics in the early afternoon.\"\n7990,2012/05/11,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n7991,2012/05/11,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n7992,2012/05/12,I did running on 2012/05/12.,I did running on 2012/05/12.\n7993,2012/05/12,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n7994,2012/05/12,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n7995,2012/05/12,I prepare steak for dinner.,I prepare steak for dinner.\n7996,2012/05/12,\"I spent 43 talking to Rylee, Piper, Piper on various topics in the late afternoon.\",\"I spent 43 talking to Rylee, Piper, Piper on various topics in the late afternoon.\"\n7997,2012/05/12,\"I talked to Claire, Lydia, Piper for 43 minutes in the early evening.\",\"I talked to Claire, Lydia, Piper for 43 minutes in the early evening.\"\n7998,2012/05/12,\"I talked to Piper, Lydia, Nora for 38 minutes during lunch hours.\",\"I talked to Piper, Lydia, Nora for 38 minutes during lunch hours.\"\n7999,2012/05/12,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n8000,2012/05/12,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n8001,2012/05/13,\"On 2012/05/13, I took Mila on a date to a park\",\"On 2012/05/13, I took Mila on a date to a park\"\n8002,2012/05/13,I did running on 2012/05/13.,I did running on 2012/05/13.\n8003,2012/05/13,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n8004,2012/05/13,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n8005,2012/05/13,I had sushi for dinner with Andrew,I had sushi for dinner with Andrew\n8006,2012/05/13,\"I spent 27 talking to Avery, Nora on various topics late in the evening.\",\"I spent 27 talking to Avery, Nora on various topics late in the evening.\"\n8007,2012/05/13,\"I spent 38 talking to Hazel, Nevaeh on various topics in the early evening.\",\"I spent 38 talking to Hazel, Nevaeh on various topics in the early evening.\"\n8008,2012/05/13,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n8009,2012/05/13,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n8010,2012/05/14,I did weight lifting on 2012/05/14.,I did weight lifting on 2012/05/14.\n8011,2012/05/14,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n8012,2012/05/14,I had lunch. I ate steak.,I had lunch. I ate steak.\n8013,2012/05/14,I prepare steak for dinner.,I prepare steak for dinner.\n8014,2012/05/14,\"I spent 32 talking to Piper, Hazel, Layla on various topics in the early afternoon.\",\"I spent 32 talking to Piper, Hazel, Layla on various topics in the early afternoon.\"\n8015,2012/05/14,I talked to Hazel for 29 minutes late in the evening.,I talked to Hazel for 29 minutes late in the evening.\n8016,2012/05/14,\"I talked to Claire, Olivia, Kinsley, Piper for 23 minutes late in the evening.\",\"I talked to Claire, Olivia, Kinsley, Piper for 23 minutes late in the evening.\"\n8017,2012/05/14,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n8018,2012/05/14,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n8019,2012/05/15,\"I went grocery shopping with Kayden, Andrew, Emily. I bought some mandarins, guava, mineral water, and body lotion, toothpaste, conditioner\",\"I went grocery shopping with Kayden, Andrew, Emily. I bought some mandarins, guava, mineral water, and body lotion, toothpaste, conditioner\"\n8020,2012/05/15,I did hiking on 2012/05/15.,I did hiking on 2012/05/15.\n8021,2012/05/15,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n8022,2012/05/15,\"I had lunch with Jackson, Avery, Willow. I ate pasta.\",\"I had lunch with Jackson, Avery, Willow. I ate pasta.\"\n8023,2012/05/15,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n8024,2012/05/15,\"I talked to Nevaeh, Lydia for 26 minutes in the early afternoon.\",\"I talked to Nevaeh, Lydia for 26 minutes in the early afternoon.\"\n8025,2012/05/15,\"I spent 53 talking to Rylee, Claire on various topics late in the evening.\",\"I spent 53 talking to Rylee, Claire on various topics late in the evening.\"\n8026,2012/05/15,I talked to Claire for 45 minutes during lunch hours.,I talked to Claire for 45 minutes during lunch hours.\n8027,2012/05/15,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n8028,2012/05/15,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n8029,2012/05/16,\"On 2012/05/16, I took Leonardo on a date to a restaurant\",\"On 2012/05/16, I took Leonardo on a date to a restaurant\"\n8030,2012/05/16,I did HIIT on 2012/05/16.,I did HIIT on 2012/05/16.\n8031,2012/05/16,\"I had eggs, sausages, and bread for breakfast with Nora\",\"I had eggs, sausages, and bread for breakfast with Nora\"\n8032,2012/05/16,\"I had sandwich for lunch with Emily, Kayden, Andrew, Carter\",\"I had sandwich for lunch with Emily, Kayden, Andrew, Carter\"\n8033,2012/05/16,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n8034,2012/05/16,I talked to Lydia for 34 minutes in the morning.,I talked to Lydia for 34 minutes in the morning.\n8035,2012/05/16,I talked to Piper for 36 minutes in the early evening.,I talked to Piper for 36 minutes in the early evening.\n8036,2012/05/16,\"I spent 20 talking to Layla, Lydia on various topics in the early afternoon.\",\"I spent 20 talking to Layla, Lydia on various topics in the early afternoon.\"\n8037,2012/05/16,\"I spent 34 talking to Lydia, Rylee, Nora on various topics in the morning.\",\"I spent 34 talking to Lydia, Rylee, Nora on various topics in the morning.\"\n8038,2012/05/16,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n8039,2012/05/16,I watched a movie for 17 minutes on TV today.,I watched a movie for 17 minutes on TV today.\n8040,2012/05/17,I did swimming on 2012/05/17.,I did swimming on 2012/05/17.\n8041,2012/05/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n8042,2012/05/17,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n8043,2012/05/17,\"I had dinner with Layla, Hazel, Avery, Claire. I ate tacos.\",\"I had dinner with Layla, Hazel, Avery, Claire. I ate tacos.\"\n8044,2012/05/17,\"I spent 19 talking to Hazel, Layla on various topics late in the evening.\",\"I spent 19 talking to Hazel, Layla on various topics late in the evening.\"\n8045,2012/05/17,\"I spent 20 talking to Kinsley, Eva, Piper, Avery on various topics in the early afternoon.\",\"I spent 20 talking to Kinsley, Eva, Piper, Avery on various topics in the early afternoon.\"\n8046,2012/05/17,I talked to Rylee for 33 minutes in the early evening.,I talked to Rylee for 33 minutes in the early evening.\n8047,2012/05/17,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n8048,2012/05/17,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n8049,2012/05/18,\"I bought some clementines, soda, chocolate milk, apple juice, body lotion from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\",\"I bought some clementines, soda, chocolate milk, apple juice, body lotion from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\"\n8050,2012/05/18,I did hiking on 2012/05/18.,I did hiking on 2012/05/18.\n8051,2012/05/18,\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate eggs, sausages, and bread.\"\n8052,2012/05/18,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n8053,2012/05/18,I had dinner with Emily. I ate sushi.,I had dinner with Emily. I ate sushi.\n8054,2012/05/18,I spent 45 talking to Piper on various topics in the early afternoon.,I spent 45 talking to Piper on various topics in the early afternoon.\n8055,2012/05/18,\"I talked to Piper, Layla, Rylee, Eva for 33 minutes in the early afternoon.\",\"I talked to Piper, Layla, Rylee, Eva for 33 minutes in the early afternoon.\"\n8056,2012/05/18,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n8057,2012/05/18,I spent 41 minutes watching a movie on TV today.,I spent 41 minutes watching a movie on TV today.\n8058,2012/05/19,I did biking on 2012/05/19.,I did biking on 2012/05/19.\n8059,2012/05/19,\"I had eggs, sausages, and bread for breakfast with Andrew, Emily, Kayden, Carter\",\"I had eggs, sausages, and bread for breakfast with Andrew, Emily, Kayden, Carter\"\n8060,2012/05/19,\"I had lunch with Piper, Layla, Kinsley, Lydia, Nevaeh, Piper, Claire, Eva, Avery, Nora. I ate tacos.\",\"I had lunch with Piper, Layla, Kinsley, Lydia, Nevaeh, Piper, Claire, Eva, Avery, Nora. I ate tacos.\"\n8061,2012/05/19,\"I had dinner with Olivia, Layla, Hazel, Avery, Piper, Claire, Nora, Rylee, Kinsley, Lydia, Nevaeh. I ate a burger.\",\"I had dinner with Olivia, Layla, Hazel, Avery, Piper, Claire, Nora, Rylee, Kinsley, Lydia, Nevaeh. I ate a burger.\"\n8062,2012/05/19,\"I spent 23 talking to Piper, Olivia on various topics during lunch hours.\",\"I spent 23 talking to Piper, Olivia on various topics during lunch hours.\"\n8063,2012/05/19,I spent 42 talking to Avery on various topics in the early evening.,I spent 42 talking to Avery on various topics in the early evening.\n8064,2012/05/19,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n8065,2012/05/19,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n8066,2012/05/20,I did swimming on 2012/05/20.,I did swimming on 2012/05/20.\n8067,2012/05/20,\"I had peanut-butter-jam for breakfast with Emily, Kayden, Carter\",\"I had peanut-butter-jam for breakfast with Emily, Kayden, Carter\"\n8068,2012/05/20,I prepare indian food for lunch.,I prepare indian food for lunch.\n8069,2012/05/20,\"I had dinner with Emily, Carter. I ate sushi.\",\"I had dinner with Emily, Carter. I ate sushi.\"\n8070,2012/05/20,\"I talked to Piper, Nevaeh, Eva, Piper for 51 minutes in the early evening.\",\"I talked to Piper, Nevaeh, Eva, Piper for 51 minutes in the early evening.\"\n8071,2012/05/20,\"I talked to Kinsley, Eva for 16 minutes late in the evening.\",\"I talked to Kinsley, Eva for 16 minutes late in the evening.\"\n8072,2012/05/20,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n8073,2012/05/20,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n8074,2012/05/21,I did biking on 2012/05/21.,I did biking on 2012/05/21.\n8075,2012/05/21,\"I had breakfast with Emily, Carter. I ate oatmeal.\",\"I had breakfast with Emily, Carter. I ate oatmeal.\"\n8076,2012/05/21,\"I had lunch with Jackson, Avery, Benjamin, Willow. I ate steak.\",\"I had lunch with Jackson, Avery, Benjamin, Willow. I ate steak.\"\n8077,2012/05/21,I had dinner. I ate steak.,I had dinner. I ate steak.\n8078,2012/05/21,\"I talked to Kinsley, Avery, Piper, Rylee for 41 minutes in the morning.\",\"I talked to Kinsley, Avery, Piper, Rylee for 41 minutes in the morning.\"\n8079,2012/05/21,\"I talked to Avery, Olivia, Hazel, Claire for 26 minutes in the early evening.\",\"I talked to Avery, Olivia, Hazel, Claire for 26 minutes in the early evening.\"\n8080,2012/05/21,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n8081,2012/05/21,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n8082,2012/05/22,\"I bought some blackberries, apricots, apple juice, toothbrush from the grocery store. I saw Willow, Jackson, Benjamin, Avery at the grocery store.\",\"I bought some blackberries, apricots, apple juice, toothbrush from the grocery store. I saw Willow, Jackson, Benjamin, Avery at the grocery store.\"\n8083,2012/05/22,I did weight lifting on 2012/05/22.,I did weight lifting on 2012/05/22.\n8084,2012/05/22,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n8085,2012/05/22,\"I had a burger for lunch with Willow, Benjamin, Jackson, Avery\",\"I had a burger for lunch with Willow, Benjamin, Jackson, Avery\"\n8086,2012/05/22,I ate chinese food for dinner.,I ate chinese food for dinner.\n8087,2012/05/22,\"I talked to Avery, Lydia, Olivia for 26 minutes in the morning.\",\"I talked to Avery, Lydia, Olivia for 26 minutes in the morning.\"\n8088,2012/05/22,\"I talked to Piper, Olivia for 49 minutes in the early afternoon.\",\"I talked to Piper, Olivia for 49 minutes in the early afternoon.\"\n8089,2012/05/22,\"I talked to Nora, Hazel, Piper, Rylee for 31 minutes in the early evening.\",\"I talked to Nora, Hazel, Piper, Rylee for 31 minutes in the early evening.\"\n8090,2012/05/22,\"I spent 54 talking to Eva, Nora, Piper, Hazel on various topics in the early afternoon.\",\"I spent 54 talking to Eva, Nora, Piper, Hazel on various topics in the early afternoon.\"\n8091,2012/05/22,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n8092,2012/05/22,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n8093,2012/05/23,\"On 2012/05/23, I took Skylar on a date to a park\",\"On 2012/05/23, I took Skylar on a date to a park\"\n8094,2012/05/23,I did swimming on 2012/05/23.,I did swimming on 2012/05/23.\n8095,2012/05/23,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n8096,2012/05/23,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n8097,2012/05/23,I ate indian food for dinner.,I ate indian food for dinner.\n8098,2012/05/23,\"I spent 32 talking to Olivia, Piper, Lydia, Claire on various topics in the late afternoon.\",\"I spent 32 talking to Olivia, Piper, Lydia, Claire on various topics in the late afternoon.\"\n8099,2012/05/23,\"I spent 20 talking to Lydia, Layla, Avery, Piper on various topics late in the evening.\",\"I spent 20 talking to Lydia, Layla, Avery, Piper on various topics late in the evening.\"\n8100,2012/05/23,I spent 26 talking to Nora on various topics in the early afternoon.,I spent 26 talking to Nora on various topics in the early afternoon.\n8101,2012/05/23,\"I talked to Piper, Layla for 48 minutes in the early evening.\",\"I talked to Piper, Layla for 48 minutes in the early evening.\"\n8102,2012/05/23,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n8103,2012/05/23,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n8104,2012/05/24,I did swimming on 2012/05/24.,I did swimming on 2012/05/24.\n8105,2012/05/24,\"I had breakfast with Hazel, Nevaeh, Nora, Claire, Layla, Lydia, Eva, Olivia, Rylee, Avery, Piper, Kinsley. I ate eggs, sausages, and bread.\",\"I had breakfast with Hazel, Nevaeh, Nora, Claire, Layla, Lydia, Eva, Olivia, Rylee, Avery, Piper, Kinsley. I ate eggs, sausages, and bread.\"\n8106,2012/05/24,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n8107,2012/05/24,\"I had dinner with Carter, Emily, Andrew. I ate chinese food.\",\"I had dinner with Carter, Emily, Andrew. I ate chinese food.\"\n8108,2012/05/24,\"I spent 22 talking to Avery, Nora, Rylee, Kinsley on various topics in the late afternoon.\",\"I spent 22 talking to Avery, Nora, Rylee, Kinsley on various topics in the late afternoon.\"\n8109,2012/05/24,\"I talked to Hazel, Rylee, Piper for 19 minutes during lunch hours.\",\"I talked to Hazel, Rylee, Piper for 19 minutes during lunch hours.\"\n8110,2012/05/24,I spent 19 talking to Piper on various topics in the early afternoon.,I spent 19 talking to Piper on various topics in the early afternoon.\n8111,2012/05/24,I talked to Olivia for 54 minutes during lunch hours.,I talked to Olivia for 54 minutes during lunch hours.\n8112,2012/05/24,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n8113,2012/05/24,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n8114,2012/05/25,\"I went grocery shopping. I bought some apricots, pears, soda, sports drinks, guava juice, orange juice, and shaving cream, conditioner, mouth wash\",\"I went grocery shopping. I bought some apricots, pears, soda, sports drinks, guava juice, orange juice, and shaving cream, conditioner, mouth wash\"\n8115,2012/05/25,I did HIIT on 2012/05/25.,I did HIIT on 2012/05/25.\n8116,2012/05/25,\"I had breakfast with Carter, Andrew. I ate oatmeal.\",\"I had breakfast with Carter, Andrew. I ate oatmeal.\"\n8117,2012/05/25,I ate tacos for lunch.,I ate tacos for lunch.\n8118,2012/05/25,I ate sandwich for dinner.,I ate sandwich for dinner.\n8119,2012/05/25,\"I talked to Lydia, Avery, Kinsley for 12 minutes during lunch hours.\",\"I talked to Lydia, Avery, Kinsley for 12 minutes during lunch hours.\"\n8120,2012/05/25,\"I spent 34 talking to Avery, Claire on various topics during lunch hours.\",\"I spent 34 talking to Avery, Claire on various topics during lunch hours.\"\n8121,2012/05/25,\"I spent 27 talking to Avery, Nora, Lydia on various topics in the morning.\",\"I spent 27 talking to Avery, Nora, Lydia on various topics in the morning.\"\n8122,2012/05/25,\"I spent 39 talking to Piper, Layla, Claire on various topics in the early evening.\",\"I spent 39 talking to Piper, Layla, Claire on various topics in the early evening.\"\n8123,2012/05/25,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n8124,2012/05/25,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n8125,2012/05/26,I did biking on 2012/05/26.,I did biking on 2012/05/26.\n8126,2012/05/26,\"I had eggs, sausages, and bread for breakfast with Avery, Willow, Jackson, Benjamin\",\"I had eggs, sausages, and bread for breakfast with Avery, Willow, Jackson, Benjamin\"\n8127,2012/05/26,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n8128,2012/05/26,\"I had dinner with Emily, Kayden, Carter, Andrew. I ate steak.\",\"I had dinner with Emily, Kayden, Carter, Andrew. I ate steak.\"\n8129,2012/05/26,I talked to Eva for 13 minutes in the early evening.,I talked to Eva for 13 minutes in the early evening.\n8130,2012/05/26,\"I spent 52 talking to Avery, Lydia, Olivia on various topics late in the evening.\",\"I spent 52 talking to Avery, Lydia, Olivia on various topics late in the evening.\"\n8131,2012/05/26,\"I talked to Nevaeh, Piper, Hazel for 18 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Hazel for 18 minutes in the early afternoon.\"\n8132,2012/05/26,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n8133,2012/05/26,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n8134,2012/05/27,\"I bought some peaches, milk, coffee, apple juice, conditioner, shaving cream, facial wash from the grocery store. I saw Emily at the grocery store.\",\"I bought some peaches, milk, coffee, apple juice, conditioner, shaving cream, facial wash from the grocery store. I saw Emily at the grocery store.\"\n8135,2012/05/27,I did swimming on 2012/05/27.,I did swimming on 2012/05/27.\n8136,2012/05/27,I had breakfast with Carter. I ate toast and cheese.,I had breakfast with Carter. I ate toast and cheese.\n8137,2012/05/27,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n8138,2012/05/27,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n8139,2012/05/27,I talked to Kinsley for 11 minutes during lunch hours.,I talked to Kinsley for 11 minutes during lunch hours.\n8140,2012/05/27,\"I spent 12 talking to Eva, Nevaeh on various topics in the morning.\",\"I spent 12 talking to Eva, Nevaeh on various topics in the morning.\"\n8141,2012/05/27,\"I talked to Rylee, Kinsley, Eva for 39 minutes in the early evening.\",\"I talked to Rylee, Kinsley, Eva for 39 minutes in the early evening.\"\n8142,2012/05/27,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n8143,2012/05/27,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n8144,2012/05/28,I did hiking on 2012/05/28.,I did hiking on 2012/05/28.\n8145,2012/05/28,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n8146,2012/05/28,\"I had a burger for lunch with Emily, Carter\",\"I had a burger for lunch with Emily, Carter\"\n8147,2012/05/28,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n8148,2012/05/28,\"I talked to Kinsley, Lydia for 29 minutes late in the evening.\",\"I talked to Kinsley, Lydia for 29 minutes late in the evening.\"\n8149,2012/05/28,\"I talked to Hazel, Piper, Claire, Avery for 29 minutes in the late afternoon.\",\"I talked to Hazel, Piper, Claire, Avery for 29 minutes in the late afternoon.\"\n8150,2012/05/28,\"I spent 24 talking to Piper, Piper, Claire, Hazel on various topics in the morning.\",\"I spent 24 talking to Piper, Piper, Claire, Hazel on various topics in the morning.\"\n8151,2012/05/28,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n8152,2012/05/28,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n8153,2012/05/29,I really enjoyed meditation on 2012/05/29,I really enjoyed meditation on 2012/05/29\n8154,2012/05/29,I did biking on 2012/05/29.,I did biking on 2012/05/29.\n8155,2012/05/29,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n8156,2012/05/29,I had sandwich for lunch with Benjamin,I had sandwich for lunch with Benjamin\n8157,2012/05/29,I prepare sushi for dinner.,I prepare sushi for dinner.\n8158,2012/05/29,I talked to Layla for 39 minutes during lunch hours.,I talked to Layla for 39 minutes during lunch hours.\n8159,2012/05/29,\"I talked to Nevaeh, Rylee, Olivia, Avery for 50 minutes in the early evening.\",\"I talked to Nevaeh, Rylee, Olivia, Avery for 50 minutes in the early evening.\"\n8160,2012/05/29,I talked to Nevaeh for 42 minutes in the early evening.,I talked to Nevaeh for 42 minutes in the early evening.\n8161,2012/05/29,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n8162,2012/05/29,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n8163,2012/05/30,\"I went grocery shopping with Avery, Layla, Eva, Hazel, Piper. I bought some blueberries, cherres, milk, soda, mango juice, and shaving cream, toilet paper\",\"I went grocery shopping with Avery, Layla, Eva, Hazel, Piper. I bought some blueberries, cherres, milk, soda, mango juice, and shaving cream, toilet paper\"\n8164,2012/05/30,I did weight lifting on 2012/05/30.,I did weight lifting on 2012/05/30.\n8165,2012/05/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n8166,2012/05/30,I prepare steak for lunch.,I prepare steak for lunch.\n8167,2012/05/30,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n8168,2012/05/30,\"I talked to Claire, Hazel, Lydia for 10 minutes in the early afternoon.\",\"I talked to Claire, Hazel, Lydia for 10 minutes in the early afternoon.\"\n8169,2012/05/30,I talked to Claire for 54 minutes during lunch hours.,I talked to Claire for 54 minutes during lunch hours.\n8170,2012/05/30,\"I spent 36 talking to Piper, Layla, Olivia on various topics late in the evening.\",\"I spent 36 talking to Piper, Layla, Olivia on various topics late in the evening.\"\n8171,2012/05/30,\"I talked to Kinsley, Layla, Lydia for 25 minutes in the late afternoon.\",\"I talked to Kinsley, Layla, Lydia for 25 minutes in the late afternoon.\"\n8172,2012/05/30,I spent 27 minutes on social media today.,I spent 27 minutes on social media today.\n8173,2012/05/30,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n8174,2012/05/31,I did HIIT on 2012/05/31.,I did HIIT on 2012/05/31.\n8175,2012/05/31,\"I had breakfast with Lydia, Claire, Avery, Rylee, Piper, Nora, Hazel, Nevaeh, Olivia, Eva, Layla, Piper, Kinsley. I ate pancakes.\",\"I had breakfast with Lydia, Claire, Avery, Rylee, Piper, Nora, Hazel, Nevaeh, Olivia, Eva, Layla, Piper, Kinsley. I ate pancakes.\"\n8176,2012/05/31,\"I had chinese food for lunch with Layla, Eva, Claire\",\"I had chinese food for lunch with Layla, Eva, Claire\"\n8177,2012/05/31,\"I had dinner with Emily, Andrew, Kayden, Carter. I ate fish and chips.\",\"I had dinner with Emily, Andrew, Kayden, Carter. I ate fish and chips.\"\n8178,2012/05/31,\"I spent 25 talking to Olivia, Hazel, Kinsley on various topics in the early evening.\",\"I spent 25 talking to Olivia, Hazel, Kinsley on various topics in the early evening.\"\n8179,2012/05/31,\"I spent 35 talking to Layla, Hazel on various topics late in the evening.\",\"I spent 35 talking to Layla, Hazel on various topics late in the evening.\"\n8180,2012/05/31,I spent 17 talking to Olivia on various topics in the early evening.,I spent 17 talking to Olivia on various topics in the early evening.\n8181,2012/05/31,\"I spent 40 talking to Piper, Lydia, Layla, Olivia on various topics late in the evening.\",\"I spent 40 talking to Piper, Lydia, Layla, Olivia on various topics late in the evening.\"\n8182,2012/05/31,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n8183,2012/05/31,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n8184,2012/06/01,I did swimming on 2012/06/01.,I did swimming on 2012/06/01.\n8185,2012/06/01,\"I had toast and cheese for breakfast with Emily, Kayden, Carter\",\"I had toast and cheese for breakfast with Emily, Kayden, Carter\"\n8186,2012/06/01,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n8187,2012/06/01,I prepare a burger for dinner.,I prepare a burger for dinner.\n8188,2012/06/01,I talked to Kinsley for 5 minutes in the morning.,I talked to Kinsley for 5 minutes in the morning.\n8189,2012/06/01,\"I spent 41 talking to Piper, Avery, Layla on various topics in the early evening.\",\"I spent 41 talking to Piper, Avery, Layla on various topics in the early evening.\"\n8190,2012/06/01,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n8191,2012/06/01,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n8192,2012/06/02,I did weight lifting on 2012/06/02.,I did weight lifting on 2012/06/02.\n8193,2012/06/02,I ate cereals for breakfast.,I ate cereals for breakfast.\n8194,2012/06/02,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n8195,2012/06/02,I had chinese food for dinner with Eva,I had chinese food for dinner with Eva\n8196,2012/06/02,\"I talked to Kinsley, Hazel, Lydia for 21 minutes in the early afternoon.\",\"I talked to Kinsley, Hazel, Lydia for 21 minutes in the early afternoon.\"\n8197,2012/06/02,I talked to Layla for 38 minutes during lunch hours.,I talked to Layla for 38 minutes during lunch hours.\n8198,2012/06/02,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n8199,2012/06/02,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n8200,2012/06/03,I did biking on 2012/06/03.,I did biking on 2012/06/03.\n8201,2012/06/03,\"I had breakfast with Kayden, Emily. I ate pancakes.\",\"I had breakfast with Kayden, Emily. I ate pancakes.\"\n8202,2012/06/03,I prepare a burger for lunch.,I prepare a burger for lunch.\n8203,2012/06/03,I ate steak for dinner.,I ate steak for dinner.\n8204,2012/06/03,\"I talked to Nora, Piper for 18 minutes in the early afternoon.\",\"I talked to Nora, Piper for 18 minutes in the early afternoon.\"\n8205,2012/06/03,\"I spent 45 talking to Piper, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 45 talking to Piper, Piper, Nevaeh on various topics in the late afternoon.\"\n8206,2012/06/03,\"I spent 23 talking to Hazel, Lydia on various topics in the early evening.\",\"I spent 23 talking to Hazel, Lydia on various topics in the early evening.\"\n8207,2012/06/03,\"I spent 28 talking to Hazel, Kinsley, Piper, Olivia on various topics late in the evening.\",\"I spent 28 talking to Hazel, Kinsley, Piper, Olivia on various topics late in the evening.\"\n8208,2012/06/03,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n8209,2012/06/03,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n8210,2012/06/04,\"I had breakfast with Rylee, Layla, Piper, Nora, Nevaeh. I ate oatmeal.\",\"I had breakfast with Rylee, Layla, Piper, Nora, Nevaeh. I ate oatmeal.\"\n8211,2012/06/04,I had lunch with Willow. I ate fish and chips.,I had lunch with Willow. I ate fish and chips.\n8212,2012/06/04,\"I had dinner with Layla, Avery. I ate fish and chips.\",\"I had dinner with Layla, Avery. I ate fish and chips.\"\n8213,2012/06/04,\"I spent 31 talking to Layla, Olivia, Claire on various topics in the morning.\",\"I spent 31 talking to Layla, Olivia, Claire on various topics in the morning.\"\n8214,2012/06/04,\"I talked to Rylee, Nora, Claire, Layla for 6 minutes during lunch hours.\",\"I talked to Rylee, Nora, Claire, Layla for 6 minutes during lunch hours.\"\n8215,2012/06/04,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n8216,2012/06/04,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n8217,2012/06/05,I spent some time meditation on 2012/06/05.,I spent some time meditation on 2012/06/05.\n8218,2012/06/05,\"I went grocery shopping with Hazel, Layla, Eva, Piper, Rylee. I bought some guava, mangos, nectarines, apple juice, coffee, mango juice, and toilet paper, shaving cream, mouthwash, conditioner\",\"I went grocery shopping with Hazel, Layla, Eva, Piper, Rylee. I bought some guava, mangos, nectarines, apple juice, coffee, mango juice, and toilet paper, shaving cream, mouthwash, conditioner\"\n8219,2012/06/05,I did swimming on 2012/06/05.,I did swimming on 2012/06/05.\n8220,2012/06/05,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n8221,2012/06/05,\"I had lunch with Carter, Kayden, Andrew. I ate tacos.\",\"I had lunch with Carter, Kayden, Andrew. I ate tacos.\"\n8222,2012/06/05,I ate a burger for dinner.,I ate a burger for dinner.\n8223,2012/06/05,\"I talked to Lydia, Layla, Kinsley for 48 minutes in the early evening.\",\"I talked to Lydia, Layla, Kinsley for 48 minutes in the early evening.\"\n8224,2012/06/05,\"I spent 55 talking to Olivia, Eva on various topics in the morning.\",\"I spent 55 talking to Olivia, Eva on various topics in the morning.\"\n8225,2012/06/05,I talked to Olivia for 53 minutes in the early afternoon.,I talked to Olivia for 53 minutes in the early afternoon.\n8226,2012/06/05,\"I talked to Kinsley, Nora, Eva, Piper for 36 minutes late in the evening.\",\"I talked to Kinsley, Nora, Eva, Piper for 36 minutes late in the evening.\"\n8227,2012/06/05,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n8228,2012/06/05,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n8229,2012/06/06,I did running on 2012/06/06.,I did running on 2012/06/06.\n8230,2012/06/06,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n8231,2012/06/06,\"I had lunch with Kinsley, Lydia, Olivia, Claire, Nevaeh, Hazel, Rylee. I ate indian food.\",\"I had lunch with Kinsley, Lydia, Olivia, Claire, Nevaeh, Hazel, Rylee. I ate indian food.\"\n8232,2012/06/06,\"I had dinner with Lydia, Hazel, Layla, Claire, Nevaeh, Eva, Rylee, Kinsley, Piper, Olivia, Avery. I ate tacos.\",\"I had dinner with Lydia, Hazel, Layla, Claire, Nevaeh, Eva, Rylee, Kinsley, Piper, Olivia, Avery. I ate tacos.\"\n8233,2012/06/06,\"I spent 46 talking to Lydia, Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 46 talking to Lydia, Piper, Nevaeh on various topics in the early afternoon.\"\n8234,2012/06/06,I talked to Kinsley for 19 minutes in the morning.,I talked to Kinsley for 19 minutes in the morning.\n8235,2012/06/06,I talked to Piper for 7 minutes in the late afternoon.,I talked to Piper for 7 minutes in the late afternoon.\n8236,2012/06/06,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n8237,2012/06/06,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n8238,2012/06/07,I did running on 2012/06/07.,I did running on 2012/06/07.\n8239,2012/06/07,I had pancakes for breakfast with Claire,I had pancakes for breakfast with Claire\n8240,2012/06/07,\"I had sandwich for lunch with Andrew, Kayden, Emily\",\"I had sandwich for lunch with Andrew, Kayden, Emily\"\n8241,2012/06/07,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n8242,2012/06/07,I talked to Claire for 34 minutes in the late afternoon.,I talked to Claire for 34 minutes in the late afternoon.\n8243,2012/06/07,I talked to Eva for 36 minutes in the early evening.,I talked to Eva for 36 minutes in the early evening.\n8244,2012/06/07,\"I talked to Rylee, Layla for 49 minutes late in the evening.\",\"I talked to Rylee, Layla for 49 minutes late in the evening.\"\n8245,2012/06/07,I spent 35 talking to Layla on various topics late in the evening.,I spent 35 talking to Layla on various topics late in the evening.\n8246,2012/06/07,I spent 27 minutes on social media today.,I spent 27 minutes on social media today.\n8247,2012/06/07,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n8248,2012/06/08,I did running on 2012/06/08.,I did running on 2012/06/08.\n8249,2012/06/08,\"I had eggs, sausages, and bread for breakfast with Kinsley, Piper, Rylee, Piper, Lydia, Olivia, Eva\",\"I had eggs, sausages, and bread for breakfast with Kinsley, Piper, Rylee, Piper, Lydia, Olivia, Eva\"\n8250,2012/06/08,I prepare sushi for lunch.,I prepare sushi for lunch.\n8251,2012/06/08,\"I had dinner with Eva, Nora, Nevaeh, Rylee, Piper, Hazel. I ate pasta.\",\"I had dinner with Eva, Nora, Nevaeh, Rylee, Piper, Hazel. I ate pasta.\"\n8252,2012/06/08,\"I spent 10 talking to Rylee, Claire, Hazel, Layla on various topics in the early evening.\",\"I spent 10 talking to Rylee, Claire, Hazel, Layla on various topics in the early evening.\"\n8253,2012/06/08,\"I talked to Hazel, Rylee, Olivia, Claire for 50 minutes in the early afternoon.\",\"I talked to Hazel, Rylee, Olivia, Claire for 50 minutes in the early afternoon.\"\n8254,2012/06/08,\"I talked to Nevaeh, Eva for 13 minutes in the late afternoon.\",\"I talked to Nevaeh, Eva for 13 minutes in the late afternoon.\"\n8255,2012/06/08,\"I spent 21 talking to Olivia, Kinsley, Piper, Lydia on various topics in the early afternoon.\",\"I spent 21 talking to Olivia, Kinsley, Piper, Lydia on various topics in the early afternoon.\"\n8256,2012/06/08,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n8257,2012/06/08,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n8258,2012/06/09,I spent some time meditation on 2012/06/09.,I spent some time meditation on 2012/06/09.\n8259,2012/06/09,I did hiking on 2012/06/09.,I did hiking on 2012/06/09.\n8260,2012/06/09,\"I had breakfast with Benjamin, Willow. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Willow. I ate peanut-butter-jam.\"\n8261,2012/06/09,I ate sandwich for lunch.,I ate sandwich for lunch.\n8262,2012/06/09,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n8263,2012/06/09,I spent 36 talking to Piper on various topics in the early evening.,I spent 36 talking to Piper on various topics in the early evening.\n8264,2012/06/09,\"I talked to Eva, Layla for 10 minutes in the early afternoon.\",\"I talked to Eva, Layla for 10 minutes in the early afternoon.\"\n8265,2012/06/09,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n8266,2012/06/09,I watched a documentary for 29 minutes on TV today.,I watched a documentary for 29 minutes on TV today.\n8267,2012/06/10,I did swimming on 2012/06/10.,I did swimming on 2012/06/10.\n8268,2012/06/10,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n8269,2012/06/10,I prepare a burger for lunch.,I prepare a burger for lunch.\n8270,2012/06/10,I ate steak for dinner.,I ate steak for dinner.\n8271,2012/06/10,\"I spent 39 talking to Kinsley, Eva on various topics late in the evening.\",\"I spent 39 talking to Kinsley, Eva on various topics late in the evening.\"\n8272,2012/06/10,\"I talked to Rylee, Layla, Avery for 8 minutes in the early evening.\",\"I talked to Rylee, Layla, Avery for 8 minutes in the early evening.\"\n8273,2012/06/10,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n8274,2012/06/10,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n8275,2012/06/11,I really enjoyed yoga on 2012/06/11,I really enjoyed yoga on 2012/06/11\n8276,2012/06/11,I did hiking on 2012/06/11.,I did hiking on 2012/06/11.\n8277,2012/06/11,\"I had toast and cheese for breakfast with Kinsley, Claire, Lydia\",\"I had toast and cheese for breakfast with Kinsley, Claire, Lydia\"\n8278,2012/06/11,\"I had lunch with Nevaeh, Olivia, Rylee, Kinsley, Eva, Lydia. I ate indian food.\",\"I had lunch with Nevaeh, Olivia, Rylee, Kinsley, Eva, Lydia. I ate indian food.\"\n8279,2012/06/11,\"I had dinner with Olivia, Hazel, Piper, Rylee, Claire, Lydia, Nevaeh, Kinsley, Layla, Nora, Avery, Piper, Eva. I ate steak.\",\"I had dinner with Olivia, Hazel, Piper, Rylee, Claire, Lydia, Nevaeh, Kinsley, Layla, Nora, Avery, Piper, Eva. I ate steak.\"\n8280,2012/06/11,\"I spent 11 talking to Piper, Hazel, Piper on various topics in the late afternoon.\",\"I spent 11 talking to Piper, Hazel, Piper on various topics in the late afternoon.\"\n8281,2012/06/11,\"I talked to Lydia, Layla, Piper for 12 minutes in the morning.\",\"I talked to Lydia, Layla, Piper for 12 minutes in the morning.\"\n8282,2012/06/11,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n8283,2012/06/11,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n8284,2012/06/12,\"On 2012/06/12, I took Quinn on a date to a coffee Shop\",\"On 2012/06/12, I took Quinn on a date to a coffee Shop\"\n8285,2012/06/12,I did HIIT on 2012/06/12.,I did HIIT on 2012/06/12.\n8286,2012/06/12,\"I had breakfast with Piper, Avery, Kinsley, Nevaeh, Claire, Rylee, Eva. I ate oatmeal.\",\"I had breakfast with Piper, Avery, Kinsley, Nevaeh, Claire, Rylee, Eva. I ate oatmeal.\"\n8287,2012/06/12,I had lunch. I ate steak.,I had lunch. I ate steak.\n8288,2012/06/12,\"I had steak for dinner with Rylee, Kinsley, Olivia, Hazel, Eva, Piper, Layla, Avery, Piper, Claire, Nora\",\"I had steak for dinner with Rylee, Kinsley, Olivia, Hazel, Eva, Piper, Layla, Avery, Piper, Claire, Nora\"\n8289,2012/06/12,\"I spent 32 talking to Claire, Nora, Piper, Hazel on various topics in the early evening.\",\"I spent 32 talking to Claire, Nora, Piper, Hazel on various topics in the early evening.\"\n8290,2012/06/12,\"I spent 33 talking to Piper, Nora, Rylee, Lydia on various topics in the late afternoon.\",\"I spent 33 talking to Piper, Nora, Rylee, Lydia on various topics in the late afternoon.\"\n8291,2012/06/12,\"I talked to Claire, Piper, Layla for 38 minutes late in the evening.\",\"I talked to Claire, Piper, Layla for 38 minutes late in the evening.\"\n8292,2012/06/12,\"I spent 14 talking to Hazel, Nora, Olivia, Piper on various topics in the morning.\",\"I spent 14 talking to Hazel, Nora, Olivia, Piper on various topics in the morning.\"\n8293,2012/06/12,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n8294,2012/06/12,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n8295,2012/06/13,\"On 2012/06/13, I took Camila on a date to a restaurant\",\"On 2012/06/13, I took Camila on a date to a restaurant\"\n8296,2012/06/13,I did running on 2012/06/13.,I did running on 2012/06/13.\n8297,2012/06/13,\"I had breakfast with Olivia, Hazel, Nevaeh, Piper, Nora, Rylee, Layla, Piper, Claire, Avery, Eva, Lydia. I ate cereals.\",\"I had breakfast with Olivia, Hazel, Nevaeh, Piper, Nora, Rylee, Layla, Piper, Claire, Avery, Eva, Lydia. I ate cereals.\"\n8298,2012/06/13,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n8299,2012/06/13,\"I had dinner with Hazel, Olivia. I ate sandwich.\",\"I had dinner with Hazel, Olivia. I ate sandwich.\"\n8300,2012/06/13,\"I talked to Layla, Lydia, Nevaeh for 23 minutes in the early afternoon.\",\"I talked to Layla, Lydia, Nevaeh for 23 minutes in the early afternoon.\"\n8301,2012/06/13,\"I spent 33 talking to Nora, Kinsley, Olivia, Piper on various topics during lunch hours.\",\"I spent 33 talking to Nora, Kinsley, Olivia, Piper on various topics during lunch hours.\"\n8302,2012/06/13,\"I spent 32 talking to Piper, Kinsley on various topics in the morning.\",\"I spent 32 talking to Piper, Kinsley on various topics in the morning.\"\n8303,2012/06/13,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n8304,2012/06/13,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n8305,2012/06/14,I did weight lifting on 2012/06/14.,I did weight lifting on 2012/06/14.\n8306,2012/06/14,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n8307,2012/06/14,I prepare sushi for lunch.,I prepare sushi for lunch.\n8308,2012/06/14,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n8309,2012/06/14,\"I talked to Kinsley, Piper, Eva for 53 minutes in the early afternoon.\",\"I talked to Kinsley, Piper, Eva for 53 minutes in the early afternoon.\"\n8310,2012/06/14,\"I spent 24 talking to Eva, Olivia on various topics in the morning.\",\"I spent 24 talking to Eva, Olivia on various topics in the morning.\"\n8311,2012/06/14,I talked to Nora for 5 minutes in the early evening.,I talked to Nora for 5 minutes in the early evening.\n8312,2012/06/14,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n8313,2012/06/14,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n8314,2012/06/15,\"I went grocery shopping with Kinsley, Piper, Nora, Piper, Layla, Lydia, Nevaeh. I bought some bananas, apples, apple juice, milk, tea, and conditioner, mouthwash\",\"I went grocery shopping with Kinsley, Piper, Nora, Piper, Layla, Lydia, Nevaeh. I bought some bananas, apples, apple juice, milk, tea, and conditioner, mouthwash\"\n8315,2012/06/15,I did biking on 2012/06/15.,I did biking on 2012/06/15.\n8316,2012/06/15,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n8317,2012/06/15,I ate sushi for lunch.,I ate sushi for lunch.\n8318,2012/06/15,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n8319,2012/06/15,\"I spent 49 talking to Olivia, Eva, Nevaeh on various topics during lunch hours.\",\"I spent 49 talking to Olivia, Eva, Nevaeh on various topics during lunch hours.\"\n8320,2012/06/15,\"I spent 30 talking to Nora, Hazel on various topics in the late afternoon.\",\"I spent 30 talking to Nora, Hazel on various topics in the late afternoon.\"\n8321,2012/06/15,\"I spent 53 talking to Claire, Olivia, Nora, Piper on various topics in the early evening.\",\"I spent 53 talking to Claire, Olivia, Nora, Piper on various topics in the early evening.\"\n8322,2012/06/15,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n8323,2012/06/15,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n8324,2012/06/16,I did HIIT on 2012/06/16.,I did HIIT on 2012/06/16.\n8325,2012/06/16,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n8326,2012/06/16,\"I had sushi for lunch with Carter, Kayden, Andrew\",\"I had sushi for lunch with Carter, Kayden, Andrew\"\n8327,2012/06/16,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n8328,2012/06/16,\"I spent 37 talking to Avery, Lydia, Kinsley on various topics late in the evening.\",\"I spent 37 talking to Avery, Lydia, Kinsley on various topics late in the evening.\"\n8329,2012/06/16,\"I spent 5 talking to Kinsley, Piper, Avery, Claire on various topics in the early evening.\",\"I spent 5 talking to Kinsley, Piper, Avery, Claire on various topics in the early evening.\"\n8330,2012/06/16,\"I spent 15 talking to Piper, Eva, Avery, Lydia on various topics during lunch hours.\",\"I spent 15 talking to Piper, Eva, Avery, Lydia on various topics during lunch hours.\"\n8331,2012/06/16,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n8332,2012/06/16,I spent 24 minutes watching a movie on TV today.,I spent 24 minutes watching a movie on TV today.\n8333,2012/06/17,\"I went grocery shopping with Avery, Benjamin, Willow. I bought some clementines, apple juice, and toilet paper, shampoo, facial wash\",\"I went grocery shopping with Avery, Benjamin, Willow. I bought some clementines, apple juice, and toilet paper, shampoo, facial wash\"\n8334,2012/06/17,I did swimming on 2012/06/17.,I did swimming on 2012/06/17.\n8335,2012/06/17,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n8336,2012/06/17,\"I had tacos for lunch with Jackson, Benjamin, Willow, Avery\",\"I had tacos for lunch with Jackson, Benjamin, Willow, Avery\"\n8337,2012/06/17,I ate a burger for dinner.,I ate a burger for dinner.\n8338,2012/06/17,I talked to Avery for 11 minutes in the early evening.,I talked to Avery for 11 minutes in the early evening.\n8339,2012/06/17,\"I spent 9 talking to Piper, Hazel on various topics in the early afternoon.\",\"I spent 9 talking to Piper, Hazel on various topics in the early afternoon.\"\n8340,2012/06/17,\"I spent 54 talking to Hazel, Avery on various topics in the early afternoon.\",\"I spent 54 talking to Hazel, Avery on various topics in the early afternoon.\"\n8341,2012/06/17,\"I talked to Piper, Rylee, Nevaeh for 26 minutes late in the evening.\",\"I talked to Piper, Rylee, Nevaeh for 26 minutes late in the evening.\"\n8342,2012/06/17,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n8343,2012/06/17,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n8344,2012/06/18,I went on a date with Jaxson on 2012/06/18 at a boba shop,I went on a date with Jaxson on 2012/06/18 at a boba shop\n8345,2012/06/18,I did running on 2012/06/18.,I did running on 2012/06/18.\n8346,2012/06/18,\"I had pancakes for breakfast with Carter, Andrew, Emily\",\"I had pancakes for breakfast with Carter, Andrew, Emily\"\n8347,2012/06/18,I prepare tacos for lunch.,I prepare tacos for lunch.\n8348,2012/06/18,I prepare indian food for dinner.,I prepare indian food for dinner.\n8349,2012/06/18,\"I talked to Layla, Nora, Avery, Eva for 34 minutes late in the evening.\",\"I talked to Layla, Nora, Avery, Eva for 34 minutes late in the evening.\"\n8350,2012/06/18,I spent 30 talking to Claire on various topics during lunch hours.,I spent 30 talking to Claire on various topics during lunch hours.\n8351,2012/06/18,I talked to Piper for 17 minutes in the morning.,I talked to Piper for 17 minutes in the morning.\n8352,2012/06/18,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n8353,2012/06/18,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n8354,2012/06/19,I did hiking on 2012/06/19.,I did hiking on 2012/06/19.\n8355,2012/06/19,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n8356,2012/06/19,I ate chinese food for lunch.,I ate chinese food for lunch.\n8357,2012/06/19,\"I had indian food for dinner with Avery, Benjamin, Jackson\",\"I had indian food for dinner with Avery, Benjamin, Jackson\"\n8358,2012/06/19,\"I talked to Layla, Piper, Eva for 42 minutes late in the evening.\",\"I talked to Layla, Piper, Eva for 42 minutes late in the evening.\"\n8359,2012/06/19,\"I spent 6 talking to Avery, Kinsley, Eva, Piper on various topics in the late afternoon.\",\"I spent 6 talking to Avery, Kinsley, Eva, Piper on various topics in the late afternoon.\"\n8360,2012/06/19,\"I talked to Lydia, Avery, Piper, Layla for 41 minutes in the early evening.\",\"I talked to Lydia, Avery, Piper, Layla for 41 minutes in the early evening.\"\n8361,2012/06/19,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n8362,2012/06/19,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n8363,2012/06/20,\"I bought some clementines, bananas, mango juice, tea, chocolate milk, coffee, toothbrush, facial wash, conditioner, shampoo from the grocery store. I saw Jackson at the grocery store.\",\"I bought some clementines, bananas, mango juice, tea, chocolate milk, coffee, toothbrush, facial wash, conditioner, shampoo from the grocery store. I saw Jackson at the grocery store.\"\n8364,2012/06/20,I did HIIT on 2012/06/20.,I did HIIT on 2012/06/20.\n8365,2012/06/20,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n8366,2012/06/20,\"I had steak for lunch with Jackson, Willow\",\"I had steak for lunch with Jackson, Willow\"\n8367,2012/06/20,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n8368,2012/06/20,I talked to Piper for 24 minutes in the early evening.,I talked to Piper for 24 minutes in the early evening.\n8369,2012/06/20,I talked to Layla for 32 minutes during lunch hours.,I talked to Layla for 32 minutes during lunch hours.\n8370,2012/06/20,\"I talked to Piper, Rylee, Nevaeh for 22 minutes during lunch hours.\",\"I talked to Piper, Rylee, Nevaeh for 22 minutes during lunch hours.\"\n8371,2012/06/20,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n8372,2012/06/20,I spent 20 minutes watching a movie on TV today.,I spent 20 minutes watching a movie on TV today.\n8373,2012/06/21,I did swimming on 2012/06/21.,I did swimming on 2012/06/21.\n8374,2012/06/21,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n8375,2012/06/21,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n8376,2012/06/21,\"I had dinner with Carter, Andrew, Kayden, Emily. I ate steak.\",\"I had dinner with Carter, Andrew, Kayden, Emily. I ate steak.\"\n8377,2012/06/21,I talked to Hazel for 47 minutes in the morning.,I talked to Hazel for 47 minutes in the morning.\n8378,2012/06/21,I spent 8 talking to Piper on various topics late in the evening.,I spent 8 talking to Piper on various topics late in the evening.\n8379,2012/06/21,\"I spent 43 talking to Nevaeh, Piper, Layla on various topics in the early evening.\",\"I spent 43 talking to Nevaeh, Piper, Layla on various topics in the early evening.\"\n8380,2012/06/21,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n8381,2012/06/21,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n8382,2012/06/22,I went on a date with James on 2012/06/22 at a boba shop,I went on a date with James on 2012/06/22 at a boba shop\n8383,2012/06/22,I did weight lifting on 2012/06/22.,I did weight lifting on 2012/06/22.\n8384,2012/06/22,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n8385,2012/06/22,\"I had lunch with Benjamin, Willow, Jackson. I ate a burger.\",\"I had lunch with Benjamin, Willow, Jackson. I ate a burger.\"\n8386,2012/06/22,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n8387,2012/06/22,\"I spent 43 talking to Piper, Nevaeh, Rylee on various topics in the early afternoon.\",\"I spent 43 talking to Piper, Nevaeh, Rylee on various topics in the early afternoon.\"\n8388,2012/06/22,\"I talked to Olivia, Piper for 52 minutes in the early afternoon.\",\"I talked to Olivia, Piper for 52 minutes in the early afternoon.\"\n8389,2012/06/22,I spent 7 talking to Piper on various topics in the morning.,I spent 7 talking to Piper on various topics in the morning.\n8390,2012/06/22,\"I spent 27 talking to Nora, Rylee, Nevaeh on various topics in the morning.\",\"I spent 27 talking to Nora, Rylee, Nevaeh on various topics in the morning.\"\n8391,2012/06/22,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n8392,2012/06/22,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n8393,2012/06/23,I did swimming on 2012/06/23.,I did swimming on 2012/06/23.\n8394,2012/06/23,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n8395,2012/06/23,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n8396,2012/06/23,\"I had dinner with Kinsley, Olivia, Rylee, Avery, Piper. I ate steak.\",\"I had dinner with Kinsley, Olivia, Rylee, Avery, Piper. I ate steak.\"\n8397,2012/06/23,\"I talked to Rylee, Hazel, Eva for 35 minutes during lunch hours.\",\"I talked to Rylee, Hazel, Eva for 35 minutes during lunch hours.\"\n8398,2012/06/23,\"I talked to Hazel, Piper for 11 minutes in the early afternoon.\",\"I talked to Hazel, Piper for 11 minutes in the early afternoon.\"\n8399,2012/06/23,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n8400,2012/06/23,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n8401,2012/06/24,I did biking on 2012/06/24.,I did biking on 2012/06/24.\n8402,2012/06/24,I had toast and cheese for breakfast with Nora,I had toast and cheese for breakfast with Nora\n8403,2012/06/24,\"I had tacos for lunch with Kayden, Carter, Emily, Andrew\",\"I had tacos for lunch with Kayden, Carter, Emily, Andrew\"\n8404,2012/06/24,I prepare a burger for dinner.,I prepare a burger for dinner.\n8405,2012/06/24,I talked to Lydia for 35 minutes in the early afternoon.,I talked to Lydia for 35 minutes in the early afternoon.\n8406,2012/06/24,I talked to Rylee for 11 minutes in the late afternoon.,I talked to Rylee for 11 minutes in the late afternoon.\n8407,2012/06/24,I spent 19 talking to Claire on various topics in the early evening.,I spent 19 talking to Claire on various topics in the early evening.\n8408,2012/06/24,\"I spent 55 talking to Layla, Avery on various topics during lunch hours.\",\"I spent 55 talking to Layla, Avery on various topics during lunch hours.\"\n8409,2012/06/24,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n8410,2012/06/24,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n8411,2012/06/25,\"I went grocery shopping with Kayden, Emily, Carter, Andrew. I bought some pears, soda, mineral water, tea, and paper towel, toothbrush\",\"I went grocery shopping with Kayden, Emily, Carter, Andrew. I bought some pears, soda, mineral water, tea, and paper towel, toothbrush\"\n8412,2012/06/25,I did running on 2012/06/25.,I did running on 2012/06/25.\n8413,2012/06/25,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n8414,2012/06/25,\"I had steak for lunch with Nevaeh, Piper, Olivia, Eva, Hazel, Claire, Lydia, Piper, Kinsley, Nora, Avery\",\"I had steak for lunch with Nevaeh, Piper, Olivia, Eva, Hazel, Claire, Lydia, Piper, Kinsley, Nora, Avery\"\n8415,2012/06/25,\"I had sushi for dinner with Andrew, Carter\",\"I had sushi for dinner with Andrew, Carter\"\n8416,2012/06/25,\"I spent 47 talking to Eva, Kinsley on various topics in the early afternoon.\",\"I spent 47 talking to Eva, Kinsley on various topics in the early afternoon.\"\n8417,2012/06/25,\"I talked to Layla, Avery, Olivia for 46 minutes during lunch hours.\",\"I talked to Layla, Avery, Olivia for 46 minutes during lunch hours.\"\n8418,2012/06/25,\"I spent 44 talking to Piper, Nevaeh, Avery on various topics late in the evening.\",\"I spent 44 talking to Piper, Nevaeh, Avery on various topics late in the evening.\"\n8419,2012/06/25,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n8420,2012/06/25,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n8421,2012/06/26,I did HIIT on 2012/06/26.,I did HIIT on 2012/06/26.\n8422,2012/06/26,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n8423,2012/06/26,\"I had a burger for lunch with Avery, Jackson, Benjamin, Willow\",\"I had a burger for lunch with Avery, Jackson, Benjamin, Willow\"\n8424,2012/06/26,\"I had pasta for dinner with Andrew, Kayden\",\"I had pasta for dinner with Andrew, Kayden\"\n8425,2012/06/26,I talked to Piper for 30 minutes late in the evening.,I talked to Piper for 30 minutes late in the evening.\n8426,2012/06/26,\"I talked to Layla, Lydia for 24 minutes late in the evening.\",\"I talked to Layla, Lydia for 24 minutes late in the evening.\"\n8427,2012/06/26,I spent 10 talking to Hazel on various topics during lunch hours.,I spent 10 talking to Hazel on various topics during lunch hours.\n8428,2012/06/26,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n8429,2012/06/26,I watched a movie for 54 minutes on TV today.,I watched a movie for 54 minutes on TV today.\n8430,2012/06/27,\"On 2012/06/27, I took Owen on a date to a park\",\"On 2012/06/27, I took Owen on a date to a park\"\n8431,2012/06/27,I did swimming on 2012/06/27.,I did swimming on 2012/06/27.\n8432,2012/06/27,\"I had breakfast with Avery, Layla, Hazel, Lydia, Claire, Nevaeh, Olivia, Piper, Nora, Eva, Rylee, Kinsley, Piper. I ate toast and cheese.\",\"I had breakfast with Avery, Layla, Hazel, Lydia, Claire, Nevaeh, Olivia, Piper, Nora, Eva, Rylee, Kinsley, Piper. I ate toast and cheese.\"\n8433,2012/06/27,I had lunch. I ate steak.,I had lunch. I ate steak.\n8434,2012/06/27,\"I had a burger for dinner with Avery, Jackson\",\"I had a burger for dinner with Avery, Jackson\"\n8435,2012/06/27,\"I spent 43 talking to Nora, Hazel, Kinsley, Nevaeh on various topics late in the evening.\",\"I spent 43 talking to Nora, Hazel, Kinsley, Nevaeh on various topics late in the evening.\"\n8436,2012/06/27,\"I spent 17 talking to Nevaeh, Kinsley, Avery, Nora on various topics in the late afternoon.\",\"I spent 17 talking to Nevaeh, Kinsley, Avery, Nora on various topics in the late afternoon.\"\n8437,2012/06/27,\"I talked to Eva, Piper, Claire for 29 minutes in the early afternoon.\",\"I talked to Eva, Piper, Claire for 29 minutes in the early afternoon.\"\n8438,2012/06/27,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n8439,2012/06/27,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n8440,2012/06/28,\"I went grocery shopping with Benjamin, Avery, Jackson, Willow. I bought some bananas, guava, blackberries, sports drinks, orange juice, and shampoo, mouth wash, toothpaste, paper towel\",\"I went grocery shopping with Benjamin, Avery, Jackson, Willow. I bought some bananas, guava, blackberries, sports drinks, orange juice, and shampoo, mouth wash, toothpaste, paper towel\"\n8441,2012/06/28,I did HIIT on 2012/06/28.,I did HIIT on 2012/06/28.\n8442,2012/06/28,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n8443,2012/06/28,I prepare pasta for lunch.,I prepare pasta for lunch.\n8444,2012/06/28,\"I had steak for dinner with Emily, Carter, Andrew\",\"I had steak for dinner with Emily, Carter, Andrew\"\n8445,2012/06/28,\"I spent 13 talking to Kinsley, Piper, Hazel, Claire on various topics in the morning.\",\"I spent 13 talking to Kinsley, Piper, Hazel, Claire on various topics in the morning.\"\n8446,2012/06/28,\"I spent 32 talking to Lydia, Nevaeh, Layla, Piper on various topics in the late afternoon.\",\"I spent 32 talking to Lydia, Nevaeh, Layla, Piper on various topics in the late afternoon.\"\n8447,2012/06/28,I talked to Piper for 39 minutes in the early afternoon.,I talked to Piper for 39 minutes in the early afternoon.\n8448,2012/06/28,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n8449,2012/06/28,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n8450,2012/06/29,I did running on 2012/06/29.,I did running on 2012/06/29.\n8451,2012/06/29,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n8452,2012/06/29,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n8453,2012/06/29,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n8454,2012/06/29,\"I talked to Lydia, Eva, Claire for 16 minutes in the morning.\",\"I talked to Lydia, Eva, Claire for 16 minutes in the morning.\"\n8455,2012/06/29,\"I talked to Rylee, Piper, Piper, Claire for 6 minutes late in the evening.\",\"I talked to Rylee, Piper, Piper, Claire for 6 minutes late in the evening.\"\n8456,2012/06/29,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n8457,2012/06/29,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n8458,2012/06/30,I did hiking on 2012/06/30.,I did hiking on 2012/06/30.\n8459,2012/06/30,\"I had oatmeal for breakfast with Emily, Kayden\",\"I had oatmeal for breakfast with Emily, Kayden\"\n8460,2012/06/30,I ate sushi for lunch.,I ate sushi for lunch.\n8461,2012/06/30,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n8462,2012/06/30,I spent 47 talking to Claire on various topics in the early afternoon.,I spent 47 talking to Claire on various topics in the early afternoon.\n8463,2012/06/30,\"I spent 46 talking to Rylee, Kinsley on various topics late in the evening.\",\"I spent 46 talking to Rylee, Kinsley on various topics late in the evening.\"\n8464,2012/06/30,\"I spent 19 talking to Nora, Avery on various topics late in the evening.\",\"I spent 19 talking to Nora, Avery on various topics late in the evening.\"\n8465,2012/06/30,\"I spent 23 talking to Nevaeh, Piper, Eva on various topics in the early afternoon.\",\"I spent 23 talking to Nevaeh, Piper, Eva on various topics in the early afternoon.\"\n8466,2012/06/30,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n8467,2012/06/30,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n8468,2012/07/01,I really enjoyed gardening on 2012/07/01,I really enjoyed gardening on 2012/07/01\n8469,2012/07/01,I did weight lifting on 2012/07/01.,I did weight lifting on 2012/07/01.\n8470,2012/07/01,\"I had toast and cheese for breakfast with Carter, Kayden, Andrew\",\"I had toast and cheese for breakfast with Carter, Kayden, Andrew\"\n8471,2012/07/01,\"I had chinese food for lunch with Andrew, Kayden, Emily, Carter\",\"I had chinese food for lunch with Andrew, Kayden, Emily, Carter\"\n8472,2012/07/01,I prepare tacos for dinner.,I prepare tacos for dinner.\n8473,2012/07/01,\"I spent 53 talking to Hazel, Avery, Piper on various topics in the late afternoon.\",\"I spent 53 talking to Hazel, Avery, Piper on various topics in the late afternoon.\"\n8474,2012/07/01,\"I spent 37 talking to Eva, Kinsley, Layla on various topics late in the evening.\",\"I spent 37 talking to Eva, Kinsley, Layla on various topics late in the evening.\"\n8475,2012/07/01,\"I talked to Avery, Olivia, Hazel, Lydia for 18 minutes in the early evening.\",\"I talked to Avery, Olivia, Hazel, Lydia for 18 minutes in the early evening.\"\n8476,2012/07/01,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n8477,2012/07/01,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n8478,2012/07/02,I did weight lifting on 2012/07/02.,I did weight lifting on 2012/07/02.\n8479,2012/07/02,\"I had breakfast with Hazel, Nora, Kinsley, Piper, Claire, Olivia, Lydia, Piper, Eva, Layla, Rylee. I ate eggs, sausages, and bread.\",\"I had breakfast with Hazel, Nora, Kinsley, Piper, Claire, Olivia, Lydia, Piper, Eva, Layla, Rylee. I ate eggs, sausages, and bread.\"\n8480,2012/07/02,\"I had lunch with Claire, Hazel, Layla, Nevaeh, Piper, Avery, Eva, Rylee, Lydia. I ate sandwich.\",\"I had lunch with Claire, Hazel, Layla, Nevaeh, Piper, Avery, Eva, Rylee, Lydia. I ate sandwich.\"\n8481,2012/07/02,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n8482,2012/07/02,\"I spent 47 talking to Olivia, Nora on various topics in the early evening.\",\"I spent 47 talking to Olivia, Nora on various topics in the early evening.\"\n8483,2012/07/02,\"I spent 53 talking to Hazel, Claire on various topics in the late afternoon.\",\"I spent 53 talking to Hazel, Claire on various topics in the late afternoon.\"\n8484,2012/07/02,\"I talked to Nora, Piper for 20 minutes in the morning.\",\"I talked to Nora, Piper for 20 minutes in the morning.\"\n8485,2012/07/02,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n8486,2012/07/02,I spent 54 minutes watching a movie on TV today.,I spent 54 minutes watching a movie on TV today.\n8487,2012/07/03,I did HIIT on 2012/07/03.,I did HIIT on 2012/07/03.\n8488,2012/07/03,\"I had breakfast with Andrew, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Carter. I ate peanut-butter-jam.\"\n8489,2012/07/03,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n8490,2012/07/03,\"I had dinner with Piper, Claire, Layla, Rylee, Avery, Eva, Lydia, Nevaeh, Olivia, Hazel, Kinsley, Piper. I ate steak.\",\"I had dinner with Piper, Claire, Layla, Rylee, Avery, Eva, Lydia, Nevaeh, Olivia, Hazel, Kinsley, Piper. I ate steak.\"\n8491,2012/07/03,\"I spent 22 talking to Piper, Nora, Claire on various topics in the morning.\",\"I spent 22 talking to Piper, Nora, Claire on various topics in the morning.\"\n8492,2012/07/03,\"I talked to Lydia, Piper, Avery for 49 minutes in the early afternoon.\",\"I talked to Lydia, Piper, Avery for 49 minutes in the early afternoon.\"\n8493,2012/07/03,\"I talked to Avery, Claire, Nora, Hazel for 55 minutes in the morning.\",\"I talked to Avery, Claire, Nora, Hazel for 55 minutes in the morning.\"\n8494,2012/07/03,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n8495,2012/07/03,I spent 24 minutes watching a movie on TV today.,I spent 24 minutes watching a movie on TV today.\n8496,2012/07/04,I did swimming on 2012/07/04.,I did swimming on 2012/07/04.\n8497,2012/07/04,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n8498,2012/07/04,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n8499,2012/07/04,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n8500,2012/07/04,\"I talked to Eva, Claire, Nora for 15 minutes in the morning.\",\"I talked to Eva, Claire, Nora for 15 minutes in the morning.\"\n8501,2012/07/04,I spent 40 talking to Piper on various topics late in the evening.,I spent 40 talking to Piper on various topics late in the evening.\n8502,2012/07/04,\"I spent 34 talking to Hazel, Kinsley on various topics late in the evening.\",\"I spent 34 talking to Hazel, Kinsley on various topics late in the evening.\"\n8503,2012/07/04,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n8504,2012/07/04,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n8505,2012/07/05,\"I spent time meditation on 2012/07/05 with Carter, Emily, Andrew.\",\"I spent time meditation on 2012/07/05 with Carter, Emily, Andrew.\"\n8506,2012/07/05,I did HIIT on 2012/07/05.,I did HIIT on 2012/07/05.\n8507,2012/07/05,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n8508,2012/07/05,\"I had lunch with Willow, Benjamin, Jackson, Avery. I ate chinese food.\",\"I had lunch with Willow, Benjamin, Jackson, Avery. I ate chinese food.\"\n8509,2012/07/05,\"I had sandwich for dinner with Willow, Avery, Jackson\",\"I had sandwich for dinner with Willow, Avery, Jackson\"\n8510,2012/07/05,\"I spent 21 talking to Nora, Hazel, Layla on various topics during lunch hours.\",\"I spent 21 talking to Nora, Hazel, Layla on various topics during lunch hours.\"\n8511,2012/07/05,\"I talked to Piper, Avery for 24 minutes in the early evening.\",\"I talked to Piper, Avery for 24 minutes in the early evening.\"\n8512,2012/07/05,\"I talked to Piper, Layla, Nevaeh, Avery for 8 minutes in the morning.\",\"I talked to Piper, Layla, Nevaeh, Avery for 8 minutes in the morning.\"\n8513,2012/07/05,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n8514,2012/07/05,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n8515,2012/07/06,I went on a date with Santiago  on 2012/07/06 at a boba shop,I went on a date with Santiago  on 2012/07/06 at a boba shop\n8516,2012/07/06,\"I bought some strawberries, pineapples, mineral water, orange juice, coffee, facial wash, shampoo, toilet paper from the grocery store. I saw Nevaeh, Lydia at the grocery store.\",\"I bought some strawberries, pineapples, mineral water, orange juice, coffee, facial wash, shampoo, toilet paper from the grocery store. I saw Nevaeh, Lydia at the grocery store.\"\n8517,2012/07/06,I did hiking on 2012/07/06.,I did hiking on 2012/07/06.\n8518,2012/07/06,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n8519,2012/07/06,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n8520,2012/07/06,I prepare steak for dinner.,I prepare steak for dinner.\n8521,2012/07/06,\"I spent 21 talking to Lydia, Layla, Avery, Eva on various topics in the late afternoon.\",\"I spent 21 talking to Lydia, Layla, Avery, Eva on various topics in the late afternoon.\"\n8522,2012/07/06,I spent 26 talking to Nora on various topics in the morning.,I spent 26 talking to Nora on various topics in the morning.\n8523,2012/07/06,\"I spent 6 talking to Avery, Nevaeh on various topics in the early afternoon.\",\"I spent 6 talking to Avery, Nevaeh on various topics in the early afternoon.\"\n8524,2012/07/06,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n8525,2012/07/06,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n8526,2012/07/07,I did weight lifting on 2012/07/07.,I did weight lifting on 2012/07/07.\n8527,2012/07/07,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n8528,2012/07/07,\"I had lunch with Kayden, Carter, Emily. I ate steak.\",\"I had lunch with Kayden, Carter, Emily. I ate steak.\"\n8529,2012/07/07,\"I had sushi for dinner with Emily, Kayden, Andrew\",\"I had sushi for dinner with Emily, Kayden, Andrew\"\n8530,2012/07/07,\"I spent 28 talking to Nora, Kinsley on various topics in the early afternoon.\",\"I spent 28 talking to Nora, Kinsley on various topics in the early afternoon.\"\n8531,2012/07/07,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n8532,2012/07/07,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n8533,2012/07/08,I really enjoyed yoga on 2012/07/08,I really enjoyed yoga on 2012/07/08\n8534,2012/07/08,I did hiking on 2012/07/08.,I did hiking on 2012/07/08.\n8535,2012/07/08,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n8536,2012/07/08,I prepare sushi for lunch.,I prepare sushi for lunch.\n8537,2012/07/08,\"I had tacos for dinner with Andrew, Kayden, Carter\",\"I had tacos for dinner with Andrew, Kayden, Carter\"\n8538,2012/07/08,\"I talked to Piper, Lydia, Eva for 11 minutes late in the evening.\",\"I talked to Piper, Lydia, Eva for 11 minutes late in the evening.\"\n8539,2012/07/08,\"I spent 42 talking to Eva, Piper on various topics in the late afternoon.\",\"I spent 42 talking to Eva, Piper on various topics in the late afternoon.\"\n8540,2012/07/08,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n8541,2012/07/08,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n8542,2012/07/09,I did running on 2012/07/09.,I did running on 2012/07/09.\n8543,2012/07/09,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n8544,2012/07/09,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n8545,2012/07/09,I ate sushi for dinner.,I ate sushi for dinner.\n8546,2012/07/09,I spent 26 talking to Nevaeh on various topics in the late afternoon.,I spent 26 talking to Nevaeh on various topics in the late afternoon.\n8547,2012/07/09,\"I spent 46 talking to Lydia, Piper on various topics in the morning.\",\"I spent 46 talking to Lydia, Piper on various topics in the morning.\"\n8548,2012/07/09,\"I talked to Kinsley, Hazel, Piper for 29 minutes in the morning.\",\"I talked to Kinsley, Hazel, Piper for 29 minutes in the morning.\"\n8549,2012/07/09,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n8550,2012/07/09,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n8551,2012/07/10,my parents for their and I went for an annual physical checkup at the private clinic on 2012/07/10.,my parents for their and I went for an annual physical checkup at the private clinic on 2012/07/10.\n8552,2012/07/10,I did weight lifting on 2012/07/10.,I did weight lifting on 2012/07/10.\n8553,2012/07/10,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n8554,2012/07/10,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n8555,2012/07/10,I prepare tacos for dinner.,I prepare tacos for dinner.\n8556,2012/07/10,\"I spent 8 talking to Piper, Eva on various topics in the early afternoon.\",\"I spent 8 talking to Piper, Eva on various topics in the early afternoon.\"\n8557,2012/07/10,I spent 50 talking to Avery on various topics in the early afternoon.,I spent 50 talking to Avery on various topics in the early afternoon.\n8558,2012/07/10,\"I spent 50 talking to Layla, Olivia, Kinsley on various topics in the late afternoon.\",\"I spent 50 talking to Layla, Olivia, Kinsley on various topics in the late afternoon.\"\n8559,2012/07/10,\"I talked to Layla, Olivia, Claire for 20 minutes in the morning.\",\"I talked to Layla, Olivia, Claire for 20 minutes in the morning.\"\n8560,2012/07/10,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n8561,2012/07/10,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n8562,2012/07/11,\"I had breakfast with Hazel, Nora, Kinsley, Piper, Rylee, Layla, Nevaeh. I ate pancakes.\",\"I had breakfast with Hazel, Nora, Kinsley, Piper, Rylee, Layla, Nevaeh. I ate pancakes.\"\n8563,2012/07/11,I prepare a burger for lunch.,I prepare a burger for lunch.\n8564,2012/07/11,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n8565,2012/07/11,I spent 38 talking to Piper on various topics in the morning.,I spent 38 talking to Piper on various topics in the morning.\n8566,2012/07/11,\"I spent 29 talking to Nora, Olivia, Nevaeh on various topics in the morning.\",\"I spent 29 talking to Nora, Olivia, Nevaeh on various topics in the morning.\"\n8567,2012/07/11,\"I spent 15 talking to Avery, Piper on various topics in the early evening.\",\"I spent 15 talking to Avery, Piper on various topics in the early evening.\"\n8568,2012/07/11,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n8569,2012/07/11,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n8570,2012/07/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n8571,2012/07/12,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n8572,2012/07/12,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n8573,2012/07/12,\"I spent 39 talking to Olivia, Avery, Claire on various topics during lunch hours.\",\"I spent 39 talking to Olivia, Avery, Claire on various topics during lunch hours.\"\n8574,2012/07/12,\"I spent 13 talking to Piper, Olivia, Piper on various topics in the morning.\",\"I spent 13 talking to Piper, Olivia, Piper on various topics in the morning.\"\n8575,2012/07/12,\"I talked to Piper, Layla for 22 minutes in the early afternoon.\",\"I talked to Piper, Layla for 22 minutes in the early afternoon.\"\n8576,2012/07/12,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n8577,2012/07/12,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n8578,2012/07/13,I did HIIT on 2012/07/13.,I did HIIT on 2012/07/13.\n8579,2012/07/13,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n8580,2012/07/13,I had sushi for lunch with Carter,I had sushi for lunch with Carter\n8581,2012/07/13,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n8582,2012/07/13,\"I talked to Hazel, Lydia, Layla for 23 minutes during lunch hours.\",\"I talked to Hazel, Lydia, Layla for 23 minutes during lunch hours.\"\n8583,2012/07/13,\"I spent 19 talking to Piper, Nevaeh, Piper on various topics late in the evening.\",\"I spent 19 talking to Piper, Nevaeh, Piper on various topics late in the evening.\"\n8584,2012/07/13,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n8585,2012/07/13,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n8586,2012/07/14,I really enjoyed learning a language on 2012/07/14,I really enjoyed learning a language on 2012/07/14\n8587,2012/07/14,\"I went grocery shopping with Willow, Benjamin, Avery, Jackson. I bought some nectarines, pineapples, bananas, milk, and toilet paper\",\"I went grocery shopping with Willow, Benjamin, Avery, Jackson. I bought some nectarines, pineapples, bananas, milk, and toilet paper\"\n8588,2012/07/14,I did HIIT on 2012/07/14.,I did HIIT on 2012/07/14.\n8589,2012/07/14,\"I had peanut-butter-jam for breakfast with Piper, Layla, Avery, Eva, Olivia, Hazel, Lydia, Nevaeh, Piper, Rylee, Kinsley\",\"I had peanut-butter-jam for breakfast with Piper, Layla, Avery, Eva, Olivia, Hazel, Lydia, Nevaeh, Piper, Rylee, Kinsley\"\n8590,2012/07/14,\"I had lunch with Olivia, Claire. I ate tacos.\",\"I had lunch with Olivia, Claire. I ate tacos.\"\n8591,2012/07/14,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n8592,2012/07/14,\"I talked to Eva, Rylee, Avery, Piper for 21 minutes in the late afternoon.\",\"I talked to Eva, Rylee, Avery, Piper for 21 minutes in the late afternoon.\"\n8593,2012/07/14,\"I talked to Layla, Lydia, Piper, Hazel for 34 minutes in the early afternoon.\",\"I talked to Layla, Lydia, Piper, Hazel for 34 minutes in the early afternoon.\"\n8594,2012/07/14,\"I talked to Piper, Nevaeh, Claire for 29 minutes in the morning.\",\"I talked to Piper, Nevaeh, Claire for 29 minutes in the morning.\"\n8595,2012/07/14,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n8596,2012/07/14,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n8597,2012/07/15,I went on a date with Brook on 2012/07/15 at a coffee Shop,I went on a date with Brook on 2012/07/15 at a coffee Shop\n8598,2012/07/15,I did HIIT on 2012/07/15.,I did HIIT on 2012/07/15.\n8599,2012/07/15,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n8600,2012/07/15,I prepare a burger for lunch.,I prepare a burger for lunch.\n8601,2012/07/15,I had indian food for dinner with Kayden,I had indian food for dinner with Kayden\n8602,2012/07/15,\"I spent 24 talking to Lydia, Rylee on various topics in the early evening.\",\"I spent 24 talking to Lydia, Rylee on various topics in the early evening.\"\n8603,2012/07/15,\"I spent 28 talking to Hazel, Piper, Eva on various topics in the morning.\",\"I spent 28 talking to Hazel, Piper, Eva on various topics in the morning.\"\n8604,2012/07/15,\"I spent 5 talking to Kinsley, Nevaeh, Avery, Hazel on various topics in the morning.\",\"I spent 5 talking to Kinsley, Nevaeh, Avery, Hazel on various topics in the morning.\"\n8605,2012/07/15,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n8606,2012/07/15,I watched news for 36 minutes on TV today.,I watched news for 36 minutes on TV today.\n8607,2012/07/16,I did swimming on 2012/07/16.,I did swimming on 2012/07/16.\n8608,2012/07/16,\"I had breakfast with Andrew, Emily. I ate cereals.\",\"I had breakfast with Andrew, Emily. I ate cereals.\"\n8609,2012/07/16,\"I had steak for lunch with Claire, Piper, Eva, Avery, Kinsley, Nevaeh, Piper, Rylee, Nora, Olivia, Layla\",\"I had steak for lunch with Claire, Piper, Eva, Avery, Kinsley, Nevaeh, Piper, Rylee, Nora, Olivia, Layla\"\n8610,2012/07/16,\"I had dinner with Emily, Kayden. I ate tacos.\",\"I had dinner with Emily, Kayden. I ate tacos.\"\n8611,2012/07/16,\"I talked to Rylee, Lydia for 16 minutes in the early afternoon.\",\"I talked to Rylee, Lydia for 16 minutes in the early afternoon.\"\n8612,2012/07/16,\"I spent 27 talking to Avery, Nora, Layla, Kinsley on various topics during lunch hours.\",\"I spent 27 talking to Avery, Nora, Layla, Kinsley on various topics during lunch hours.\"\n8613,2012/07/16,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n8614,2012/07/16,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n8615,2012/07/17,I did running on 2012/07/17.,I did running on 2012/07/17.\n8616,2012/07/17,\"I had cereals for breakfast with Kayden, Emily, Andrew, Carter\",\"I had cereals for breakfast with Kayden, Emily, Andrew, Carter\"\n8617,2012/07/17,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n8618,2012/07/17,I had dinner with Jackson. I ate steak.,I had dinner with Jackson. I ate steak.\n8619,2012/07/17,I spent 20 talking to Avery on various topics in the early evening.,I spent 20 talking to Avery on various topics in the early evening.\n8620,2012/07/17,\"I talked to Nevaeh, Lydia for 47 minutes in the morning.\",\"I talked to Nevaeh, Lydia for 47 minutes in the morning.\"\n8621,2012/07/17,\"I talked to Layla, Lydia for 41 minutes in the late afternoon.\",\"I talked to Layla, Lydia for 41 minutes in the late afternoon.\"\n8622,2012/07/17,\"I talked to Nora, Eva, Nevaeh, Piper for 49 minutes during lunch hours.\",\"I talked to Nora, Eva, Nevaeh, Piper for 49 minutes during lunch hours.\"\n8623,2012/07/17,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n8624,2012/07/17,I watched a tv series for 30 minutes on TV today.,I watched a tv series for 30 minutes on TV today.\n8625,2012/07/18,I did running on 2012/07/18.,I did running on 2012/07/18.\n8626,2012/07/18,I ate cereals for breakfast.,I ate cereals for breakfast.\n8627,2012/07/18,I ate chinese food for lunch.,I ate chinese food for lunch.\n8628,2012/07/18,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n8629,2012/07/18,\"I spent 9 talking to Kinsley, Avery, Layla on various topics in the early afternoon.\",\"I spent 9 talking to Kinsley, Avery, Layla on various topics in the early afternoon.\"\n8630,2012/07/18,\"I talked to Eva, Nora, Rylee for 28 minutes during lunch hours.\",\"I talked to Eva, Nora, Rylee for 28 minutes during lunch hours.\"\n8631,2012/07/18,\"I talked to Layla, Nora for 43 minutes in the early evening.\",\"I talked to Layla, Nora for 43 minutes in the early evening.\"\n8632,2012/07/18,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n8633,2012/07/18,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n8634,2012/07/19,\"I had toast and cheese for breakfast with Rylee, Lydia, Olivia, Claire, Eva, Nevaeh, Layla\",\"I had toast and cheese for breakfast with Rylee, Lydia, Olivia, Claire, Eva, Nevaeh, Layla\"\n8635,2012/07/19,\"I had chinese food for lunch with Carter, Andrew, Emily, Kayden\",\"I had chinese food for lunch with Carter, Andrew, Emily, Kayden\"\n8636,2012/07/19,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n8637,2012/07/19,I talked to Hazel for 47 minutes in the early evening.,I talked to Hazel for 47 minutes in the early evening.\n8638,2012/07/19,I spent 22 talking to Claire on various topics in the morning.,I spent 22 talking to Claire on various topics in the morning.\n8639,2012/07/19,\"I spent 8 talking to Avery, Claire, Rylee on various topics in the early evening.\",\"I spent 8 talking to Avery, Claire, Rylee on various topics in the early evening.\"\n8640,2012/07/19,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n8641,2012/07/19,I spent 39 minutes watching a movie on TV today.,I spent 39 minutes watching a movie on TV today.\n8642,2012/07/20,I did hiking on 2012/07/20.,I did hiking on 2012/07/20.\n8643,2012/07/20,\"I had breakfast with Rylee, Olivia, Kinsley. I ate cereals.\",\"I had breakfast with Rylee, Olivia, Kinsley. I ate cereals.\"\n8644,2012/07/20,\"I had tacos for lunch with Emily, Andrew, Kayden\",\"I had tacos for lunch with Emily, Andrew, Kayden\"\n8645,2012/07/20,\"I had a burger for dinner with Avery, Willow, Benjamin, Jackson\",\"I had a burger for dinner with Avery, Willow, Benjamin, Jackson\"\n8646,2012/07/20,I spent 53 talking to Nevaeh on various topics in the late afternoon.,I spent 53 talking to Nevaeh on various topics in the late afternoon.\n8647,2012/07/20,I spent 43 talking to Piper on various topics in the morning.,I spent 43 talking to Piper on various topics in the morning.\n8648,2012/07/20,\"I spent 20 talking to Piper, Eva on various topics in the late afternoon.\",\"I spent 20 talking to Piper, Eva on various topics in the late afternoon.\"\n8649,2012/07/20,\"I talked to Nora, Claire, Lydia for 54 minutes in the late afternoon.\",\"I talked to Nora, Claire, Lydia for 54 minutes in the late afternoon.\"\n8650,2012/07/20,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n8651,2012/07/20,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n8652,2012/07/21,I did HIIT on 2012/07/21.,I did HIIT on 2012/07/21.\n8653,2012/07/21,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n8654,2012/07/21,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n8655,2012/07/21,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n8656,2012/07/21,\"I spent 19 talking to Avery, Eva on various topics in the early afternoon.\",\"I spent 19 talking to Avery, Eva on various topics in the early afternoon.\"\n8657,2012/07/21,I talked to Kinsley for 6 minutes in the early afternoon.,I talked to Kinsley for 6 minutes in the early afternoon.\n8658,2012/07/21,\"I spent 18 talking to Lydia, Piper on various topics in the early evening.\",\"I spent 18 talking to Lydia, Piper on various topics in the early evening.\"\n8659,2012/07/21,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n8660,2012/07/21,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n8661,2012/07/22,I did weight lifting on 2012/07/22.,I did weight lifting on 2012/07/22.\n8662,2012/07/22,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n8663,2012/07/22,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n8664,2012/07/22,\"I had pasta for dinner with Rylee, Nora, Hazel\",\"I had pasta for dinner with Rylee, Nora, Hazel\"\n8665,2012/07/22,\"I talked to Kinsley, Nora, Layla for 18 minutes in the late afternoon.\",\"I talked to Kinsley, Nora, Layla for 18 minutes in the late afternoon.\"\n8666,2012/07/22,\"I talked to Kinsley, Eva for 53 minutes in the early evening.\",\"I talked to Kinsley, Eva for 53 minutes in the early evening.\"\n8667,2012/07/22,\"I spent 18 talking to Olivia, Piper, Piper, Nora on various topics late in the evening.\",\"I spent 18 talking to Olivia, Piper, Piper, Nora on various topics late in the evening.\"\n8668,2012/07/22,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n8669,2012/07/22,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n8670,2012/07/23,I went on a date with Lily on 2012/07/23 at a coffee Shop,I went on a date with Lily on 2012/07/23 at a coffee Shop\n8671,2012/07/23,I did HIIT on 2012/07/23.,I did HIIT on 2012/07/23.\n8672,2012/07/23,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n8673,2012/07/23,\"I had indian food for lunch with Carter, Andrew, Emily\",\"I had indian food for lunch with Carter, Andrew, Emily\"\n8674,2012/07/23,I ate a burger for dinner.,I ate a burger for dinner.\n8675,2012/07/23,\"I spent 50 talking to Piper, Nevaeh on various topics during lunch hours.\",\"I spent 50 talking to Piper, Nevaeh on various topics during lunch hours.\"\n8676,2012/07/23,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n8677,2012/07/23,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n8678,2012/07/24,\"I bought some strawberries, guava, mandarins, soda, shampoo, toilet paper from the grocery store. I saw Piper, Piper, Rylee, Hazel, Avery, Nevaeh, Claire, Nora, Olivia, Kinsley, Lydia at the grocery store.\",\"I bought some strawberries, guava, mandarins, soda, shampoo, toilet paper from the grocery store. I saw Piper, Piper, Rylee, Hazel, Avery, Nevaeh, Claire, Nora, Olivia, Kinsley, Lydia at the grocery store.\"\n8679,2012/07/24,I did swimming on 2012/07/24.,I did swimming on 2012/07/24.\n8680,2012/07/24,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n8681,2012/07/24,\"I had pasta for lunch with Olivia, Kinsley, Layla, Hazel, Avery, Eva, Piper\",\"I had pasta for lunch with Olivia, Kinsley, Layla, Hazel, Avery, Eva, Piper\"\n8682,2012/07/24,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n8683,2012/07/24,\"I talked to Piper, Olivia, Layla, Rylee for 5 minutes late in the evening.\",\"I talked to Piper, Olivia, Layla, Rylee for 5 minutes late in the evening.\"\n8684,2012/07/24,\"I spent 39 talking to Olivia, Rylee on various topics in the morning.\",\"I spent 39 talking to Olivia, Rylee on various topics in the morning.\"\n8685,2012/07/24,I talked to Olivia for 23 minutes late in the evening.,I talked to Olivia for 23 minutes late in the evening.\n8686,2012/07/24,\"I talked to Lydia, Eva, Olivia for 42 minutes in the morning.\",\"I talked to Lydia, Eva, Olivia for 42 minutes in the morning.\"\n8687,2012/07/24,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n8688,2012/07/24,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n8689,2012/07/25,\"I bought some nectarines, tea, toilet paper online.\",\"I bought some nectarines, tea, toilet paper online.\"\n8690,2012/07/25,I did biking on 2012/07/25.,I did biking on 2012/07/25.\n8691,2012/07/25,\"I had oatmeal for breakfast with Emily, Carter, Andrew, Kayden\",\"I had oatmeal for breakfast with Emily, Carter, Andrew, Kayden\"\n8692,2012/07/25,I prepare a burger for lunch.,I prepare a burger for lunch.\n8693,2012/07/25,\"I had dinner with Jackson, Avery, Willow, Benjamin. I ate tacos.\",\"I had dinner with Jackson, Avery, Willow, Benjamin. I ate tacos.\"\n8694,2012/07/25,\"I spent 36 talking to Nora, Nevaeh on various topics during lunch hours.\",\"I spent 36 talking to Nora, Nevaeh on various topics during lunch hours.\"\n8695,2012/07/25,\"I spent 28 talking to Olivia, Eva, Claire on various topics in the late afternoon.\",\"I spent 28 talking to Olivia, Eva, Claire on various topics in the late afternoon.\"\n8696,2012/07/25,\"I spent 22 talking to Claire, Nora, Piper on various topics during lunch hours.\",\"I spent 22 talking to Claire, Nora, Piper on various topics during lunch hours.\"\n8697,2012/07/25,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n8698,2012/07/25,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n8699,2012/07/26,I did swimming on 2012/07/26.,I did swimming on 2012/07/26.\n8700,2012/07/26,\"I had breakfast with Carter, Andrew. I ate pancakes.\",\"I had breakfast with Carter, Andrew. I ate pancakes.\"\n8701,2012/07/26,\"I had chinese food for lunch with Avery, Jackson, Benjamin\",\"I had chinese food for lunch with Avery, Jackson, Benjamin\"\n8702,2012/07/26,I had dinner. I ate steak.,I had dinner. I ate steak.\n8703,2012/07/26,I talked to Claire for 46 minutes in the morning.,I talked to Claire for 46 minutes in the morning.\n8704,2012/07/26,\"I spent 44 talking to Kinsley, Lydia, Eva on various topics late in the evening.\",\"I spent 44 talking to Kinsley, Lydia, Eva on various topics late in the evening.\"\n8705,2012/07/26,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n8706,2012/07/26,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n8707,2012/07/27,\"On 2012/07/27, I took Benjamin on a date to a coffee Shop\",\"On 2012/07/27, I took Benjamin on a date to a coffee Shop\"\n8708,2012/07/27,I did running on 2012/07/27.,I did running on 2012/07/27.\n8709,2012/07/27,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n8710,2012/07/27,\"I had sushi for lunch with Carter, Andrew\",\"I had sushi for lunch with Carter, Andrew\"\n8711,2012/07/27,\"I had dinner with Andrew, Carter. I ate a burger.\",\"I had dinner with Andrew, Carter. I ate a burger.\"\n8712,2012/07/27,\"I spent 34 talking to Rylee, Nevaeh, Claire on various topics in the morning.\",\"I spent 34 talking to Rylee, Nevaeh, Claire on various topics in the morning.\"\n8713,2012/07/27,I talked to Lydia for 8 minutes in the morning.,I talked to Lydia for 8 minutes in the morning.\n8714,2012/07/27,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n8715,2012/07/27,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n8716,2012/07/28,\"I spent time yoga on 2012/07/28 with Carter, Kayden, Emily.\",\"I spent time yoga on 2012/07/28 with Carter, Kayden, Emily.\"\n8717,2012/07/28,I did weight lifting on 2012/07/28.,I did weight lifting on 2012/07/28.\n8718,2012/07/28,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n8719,2012/07/28,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n8720,2012/07/28,I prepare steak for dinner.,I prepare steak for dinner.\n8721,2012/07/28,\"I talked to Nora, Nevaeh, Avery for 9 minutes in the late afternoon.\",\"I talked to Nora, Nevaeh, Avery for 9 minutes in the late afternoon.\"\n8722,2012/07/28,\"I spent 20 talking to Nora, Lydia, Piper, Kinsley on various topics in the morning.\",\"I spent 20 talking to Nora, Lydia, Piper, Kinsley on various topics in the morning.\"\n8723,2012/07/28,\"I talked to Piper, Nevaeh, Rylee for 16 minutes during lunch hours.\",\"I talked to Piper, Nevaeh, Rylee for 16 minutes during lunch hours.\"\n8724,2012/07/28,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n8725,2012/07/28,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n8726,2012/07/29,I did weight lifting on 2012/07/29.,I did weight lifting on 2012/07/29.\n8727,2012/07/29,I had breakfast with Emily. I ate cereals.,I had breakfast with Emily. I ate cereals.\n8728,2012/07/29,I prepare indian food for lunch.,I prepare indian food for lunch.\n8729,2012/07/29,I ate indian food for dinner.,I ate indian food for dinner.\n8730,2012/07/29,I talked to Olivia for 32 minutes in the morning.,I talked to Olivia for 32 minutes in the morning.\n8731,2012/07/29,I talked to Piper for 26 minutes during lunch hours.,I talked to Piper for 26 minutes during lunch hours.\n8732,2012/07/29,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n8733,2012/07/29,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n8734,2012/07/30,\"I went grocery shopping. I bought some peaches, sports drinks, chocolate milk, and facial wash, mouthwash, shampoo, paper towel\",\"I went grocery shopping. I bought some peaches, sports drinks, chocolate milk, and facial wash, mouthwash, shampoo, paper towel\"\n8735,2012/07/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n8736,2012/07/30,\"I had sandwich for lunch with Carter, Emily, Kayden, Andrew\",\"I had sandwich for lunch with Carter, Emily, Kayden, Andrew\"\n8737,2012/07/30,I prepare steak for dinner.,I prepare steak for dinner.\n8738,2012/07/30,\"I talked to Claire, Nora for 28 minutes in the early afternoon.\",\"I talked to Claire, Nora for 28 minutes in the early afternoon.\"\n8739,2012/07/30,\"I talked to Nora, Lydia, Hazel for 37 minutes late in the evening.\",\"I talked to Nora, Lydia, Hazel for 37 minutes late in the evening.\"\n8740,2012/07/30,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n8741,2012/07/30,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n8742,2012/07/31,I did running on 2012/07/31.,I did running on 2012/07/31.\n8743,2012/07/31,\"I had breakfast with Kinsley, Rylee, Olivia, Nevaeh, Lydia, Piper, Piper, Avery, Layla. I ate oatmeal.\",\"I had breakfast with Kinsley, Rylee, Olivia, Nevaeh, Lydia, Piper, Piper, Avery, Layla. I ate oatmeal.\"\n8744,2012/07/31,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n8745,2012/07/31,I had tacos for dinner with Kayden,I had tacos for dinner with Kayden\n8746,2012/07/31,\"I spent 22 talking to Olivia, Piper on various topics in the late afternoon.\",\"I spent 22 talking to Olivia, Piper on various topics in the late afternoon.\"\n8747,2012/07/31,\"I talked to Kinsley, Layla, Olivia for 51 minutes late in the evening.\",\"I talked to Kinsley, Layla, Olivia for 51 minutes late in the evening.\"\n8748,2012/07/31,\"I talked to Nevaeh, Piper, Lydia for 37 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Lydia for 37 minutes in the late afternoon.\"\n8749,2012/07/31,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n8750,2012/07/31,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n8751,2012/08/01,\"I went grocery shopping. I bought some mangos, raspberries, soda, and paper towel, mouth wash\",\"I went grocery shopping. I bought some mangos, raspberries, soda, and paper towel, mouth wash\"\n8752,2012/08/01,I did swimming on 2012/08/01.,I did swimming on 2012/08/01.\n8753,2012/08/01,\"I had breakfast with Kayden, Carter, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Carter, Andrew. I ate eggs, sausages, and bread.\"\n8754,2012/08/01,I prepare sushi for lunch.,I prepare sushi for lunch.\n8755,2012/08/01,\"I had pasta for dinner with Andrew, Kayden, Carter, Emily\",\"I had pasta for dinner with Andrew, Kayden, Carter, Emily\"\n8756,2012/08/01,\"I talked to Layla, Olivia, Nevaeh, Avery for 34 minutes in the late afternoon.\",\"I talked to Layla, Olivia, Nevaeh, Avery for 34 minutes in the late afternoon.\"\n8757,2012/08/01,\"I talked to Hazel, Nevaeh, Nora, Rylee for 37 minutes in the late afternoon.\",\"I talked to Hazel, Nevaeh, Nora, Rylee for 37 minutes in the late afternoon.\"\n8758,2012/08/01,\"I talked to Piper, Hazel for 43 minutes in the late afternoon.\",\"I talked to Piper, Hazel for 43 minutes in the late afternoon.\"\n8759,2012/08/01,I spent 27 minutes on social media today.,I spent 27 minutes on social media today.\n8760,2012/08/01,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n8761,2012/08/02,I went on a date with Willow on 2012/08/02 at a park,I went on a date with Willow on 2012/08/02 at a park\n8762,2012/08/02,I did HIIT on 2012/08/02.,I did HIIT on 2012/08/02.\n8763,2012/08/02,\"I had oatmeal for breakfast with Eva, Piper\",\"I had oatmeal for breakfast with Eva, Piper\"\n8764,2012/08/02,\"I had fish and chips for lunch with Benjamin, Jackson, Avery, Willow\",\"I had fish and chips for lunch with Benjamin, Jackson, Avery, Willow\"\n8765,2012/08/02,I prepare indian food for dinner.,I prepare indian food for dinner.\n8766,2012/08/02,\"I talked to Avery, Claire, Piper for 40 minutes in the early evening.\",\"I talked to Avery, Claire, Piper for 40 minutes in the early evening.\"\n8767,2012/08/02,\"I talked to Olivia, Claire, Hazel for 19 minutes during lunch hours.\",\"I talked to Olivia, Claire, Hazel for 19 minutes during lunch hours.\"\n8768,2012/08/02,\"I talked to Avery, Nevaeh, Olivia for 30 minutes in the early evening.\",\"I talked to Avery, Nevaeh, Olivia for 30 minutes in the early evening.\"\n8769,2012/08/02,I talked to Kinsley for 27 minutes late in the evening.,I talked to Kinsley for 27 minutes late in the evening.\n8770,2012/08/02,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n8771,2012/08/02,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n8772,2012/08/03,I spent time gardening on 2012/08/03 with Andrew.,I spent time gardening on 2012/08/03 with Andrew.\n8773,2012/08/03,I did swimming on 2012/08/03.,I did swimming on 2012/08/03.\n8774,2012/08/03,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n8775,2012/08/03,\"I had lunch with Avery, Nevaeh, Nora, Layla, Kinsley, Rylee, Hazel, Olivia, Piper, Lydia, Claire, Eva. I ate tacos.\",\"I had lunch with Avery, Nevaeh, Nora, Layla, Kinsley, Rylee, Hazel, Olivia, Piper, Lydia, Claire, Eva. I ate tacos.\"\n8776,2012/08/03,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n8777,2012/08/03,\"I talked to Rylee, Olivia, Piper for 28 minutes in the early afternoon.\",\"I talked to Rylee, Olivia, Piper for 28 minutes in the early afternoon.\"\n8778,2012/08/03,\"I talked to Avery, Nora, Eva for 11 minutes in the morning.\",\"I talked to Avery, Nora, Eva for 11 minutes in the morning.\"\n8779,2012/08/03,\"I talked to Nora, Nevaeh for 53 minutes during lunch hours.\",\"I talked to Nora, Nevaeh for 53 minutes during lunch hours.\"\n8780,2012/08/03,I talked to Nora for 23 minutes in the late afternoon.,I talked to Nora for 23 minutes in the late afternoon.\n8781,2012/08/03,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n8782,2012/08/03,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n8783,2012/08/04,I did weight lifting on 2012/08/04.,I did weight lifting on 2012/08/04.\n8784,2012/08/04,\"I had breakfast with Piper, Piper, Rylee, Avery, Olivia. I ate peanut-butter-jam.\",\"I had breakfast with Piper, Piper, Rylee, Avery, Olivia. I ate peanut-butter-jam.\"\n8785,2012/08/04,\"I had lunch with Benjamin, Jackson, Willow. I ate steak.\",\"I had lunch with Benjamin, Jackson, Willow. I ate steak.\"\n8786,2012/08/04,\"I had fish and chips for dinner with Piper, Eva, Olivia, Lydia, Piper, Claire, Rylee, Avery, Nora, Layla, Nevaeh\",\"I had fish and chips for dinner with Piper, Eva, Olivia, Lydia, Piper, Claire, Rylee, Avery, Nora, Layla, Nevaeh\"\n8787,2012/08/04,\"I spent 17 talking to Claire, Nora, Lydia on various topics in the late afternoon.\",\"I spent 17 talking to Claire, Nora, Lydia on various topics in the late afternoon.\"\n8788,2012/08/04,\"I spent 40 talking to Nora, Rylee on various topics in the early afternoon.\",\"I spent 40 talking to Nora, Rylee on various topics in the early afternoon.\"\n8789,2012/08/04,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n8790,2012/08/04,I spent 24 minutes watching a documentary on TV today.,I spent 24 minutes watching a documentary on TV today.\n8791,2012/08/05,\"I bought some pears, apricots, orange juice, mineral water, chocolate milk, milk, shaving cream, mouthwash, shampoo from the grocery store. I saw Carter, Andrew, Kayden at the grocery store.\",\"I bought some pears, apricots, orange juice, mineral water, chocolate milk, milk, shaving cream, mouthwash, shampoo from the grocery store. I saw Carter, Andrew, Kayden at the grocery store.\"\n8792,2012/08/05,I did running on 2012/08/05.,I did running on 2012/08/05.\n8793,2012/08/05,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n8794,2012/08/05,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n8795,2012/08/05,\"I had pasta for dinner with Avery, Willow, Benjamin, Jackson\",\"I had pasta for dinner with Avery, Willow, Benjamin, Jackson\"\n8796,2012/08/05,I talked to Lydia for 7 minutes in the morning.,I talked to Lydia for 7 minutes in the morning.\n8797,2012/08/05,I spent 51 talking to Claire on various topics in the early afternoon.,I spent 51 talking to Claire on various topics in the early afternoon.\n8798,2012/08/05,\"I spent 24 talking to Avery, Lydia, Claire, Hazel on various topics in the morning.\",\"I spent 24 talking to Avery, Lydia, Claire, Hazel on various topics in the morning.\"\n8799,2012/08/05,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n8800,2012/08/05,I spent 43 minutes watching news on TV today.,I spent 43 minutes watching news on TV today.\n8801,2012/08/06,I did swimming on 2012/08/06.,I did swimming on 2012/08/06.\n8802,2012/08/06,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n8803,2012/08/06,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n8804,2012/08/06,\"I had chinese food for dinner with Emily, Carter\",\"I had chinese food for dinner with Emily, Carter\"\n8805,2012/08/06,\"I spent 42 talking to Claire, Lydia, Piper, Piper on various topics during lunch hours.\",\"I spent 42 talking to Claire, Lydia, Piper, Piper on various topics during lunch hours.\"\n8806,2012/08/06,\"I talked to Nevaeh, Rylee, Eva, Piper for 36 minutes in the early afternoon.\",\"I talked to Nevaeh, Rylee, Eva, Piper for 36 minutes in the early afternoon.\"\n8807,2012/08/06,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n8808,2012/08/06,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n8809,2012/08/07,I went on a date with Peyton on 2012/08/07 at a boba shop,I went on a date with Peyton on 2012/08/07 at a boba shop\n8810,2012/08/07,I did swimming on 2012/08/07.,I did swimming on 2012/08/07.\n8811,2012/08/07,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n8812,2012/08/07,I had lunch. I ate steak.,I had lunch. I ate steak.\n8813,2012/08/07,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n8814,2012/08/07,I talked to Hazel for 9 minutes late in the evening.,I talked to Hazel for 9 minutes late in the evening.\n8815,2012/08/07,\"I spent 52 talking to Olivia, Lydia, Nora, Avery on various topics in the early evening.\",\"I spent 52 talking to Olivia, Lydia, Nora, Avery on various topics in the early evening.\"\n8816,2012/08/07,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n8817,2012/08/07,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n8818,2012/08/08,\"I spent time gardening on 2012/08/08 with Kayden, Carter, Emily.\",\"I spent time gardening on 2012/08/08 with Kayden, Carter, Emily.\"\n8819,2012/08/08,I did HIIT on 2012/08/08.,I did HIIT on 2012/08/08.\n8820,2012/08/08,\"I had breakfast with Piper, Olivia, Hazel, Claire, Piper, Layla. I ate cereals.\",\"I had breakfast with Piper, Olivia, Hazel, Claire, Piper, Layla. I ate cereals.\"\n8821,2012/08/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n8822,2012/08/08,I prepare indian food for dinner.,I prepare indian food for dinner.\n8823,2012/08/08,\"I spent 27 talking to Eva, Hazel, Kinsley, Rylee on various topics late in the evening.\",\"I spent 27 talking to Eva, Hazel, Kinsley, Rylee on various topics late in the evening.\"\n8824,2012/08/08,\"I talked to Claire, Kinsley, Avery for 21 minutes in the morning.\",\"I talked to Claire, Kinsley, Avery for 21 minutes in the morning.\"\n8825,2012/08/08,\"I spent 30 talking to Nora, Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 30 talking to Nora, Piper, Nevaeh on various topics in the early afternoon.\"\n8826,2012/08/08,\"I spent 23 talking to Avery, Eva, Claire on various topics in the early afternoon.\",\"I spent 23 talking to Avery, Eva, Claire on various topics in the early afternoon.\"\n8827,2012/08/08,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n8828,2012/08/08,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n8829,2012/08/09,I did biking on 2012/08/09.,I did biking on 2012/08/09.\n8830,2012/08/09,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n8831,2012/08/09,\"I had lunch with Andrew, Emily. I ate chinese food.\",\"I had lunch with Andrew, Emily. I ate chinese food.\"\n8832,2012/08/09,I prepare tacos for dinner.,I prepare tacos for dinner.\n8833,2012/08/09,\"I spent 55 talking to Avery, Hazel on various topics in the late afternoon.\",\"I spent 55 talking to Avery, Hazel on various topics in the late afternoon.\"\n8834,2012/08/09,I talked to Piper for 26 minutes in the late afternoon.,I talked to Piper for 26 minutes in the late afternoon.\n8835,2012/08/09,\"I spent 51 talking to Olivia, Avery, Hazel, Kinsley on various topics in the early afternoon.\",\"I spent 51 talking to Olivia, Avery, Hazel, Kinsley on various topics in the early afternoon.\"\n8836,2012/08/09,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n8837,2012/08/09,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n8838,2012/08/10,I went on a date with Parker on 2012/08/10 at a boba shop,I went on a date with Parker on 2012/08/10 at a boba shop\n8839,2012/08/10,\"I bought some guava, mango juice, soda, shampoo, toilet paper, conditioner from the grocery store. I saw Kayden, Emily at the grocery store.\",\"I bought some guava, mango juice, soda, shampoo, toilet paper, conditioner from the grocery store. I saw Kayden, Emily at the grocery store.\"\n8840,2012/08/10,I did running on 2012/08/10.,I did running on 2012/08/10.\n8841,2012/08/10,I had toast and cheese for breakfast with Emily,I had toast and cheese for breakfast with Emily\n8842,2012/08/10,\"I had a burger for lunch with Willow, Jackson, Avery\",\"I had a burger for lunch with Willow, Jackson, Avery\"\n8843,2012/08/10,I had dinner with Jackson. I ate fish and chips.,I had dinner with Jackson. I ate fish and chips.\n8844,2012/08/10,\"I spent 23 talking to Piper, Piper, Layla, Claire on various topics in the early evening.\",\"I spent 23 talking to Piper, Piper, Layla, Claire on various topics in the early evening.\"\n8845,2012/08/10,\"I talked to Piper, Eva, Hazel, Layla for 47 minutes in the morning.\",\"I talked to Piper, Eva, Hazel, Layla for 47 minutes in the morning.\"\n8846,2012/08/10,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n8847,2012/08/10,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n8848,2012/08/11,I did swimming on 2012/08/11.,I did swimming on 2012/08/11.\n8849,2012/08/11,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n8850,2012/08/11,I ate tacos for lunch.,I ate tacos for lunch.\n8851,2012/08/11,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n8852,2012/08/11,\"I spent 46 talking to Hazel, Avery on various topics late in the evening.\",\"I spent 46 talking to Hazel, Avery on various topics late in the evening.\"\n8853,2012/08/11,I talked to Claire for 13 minutes in the early afternoon.,I talked to Claire for 13 minutes in the early afternoon.\n8854,2012/08/11,\"I spent 37 talking to Hazel, Layla, Nevaeh, Avery on various topics in the early evening.\",\"I spent 37 talking to Hazel, Layla, Nevaeh, Avery on various topics in the early evening.\"\n8855,2012/08/11,\"I spent 11 talking to Nora, Avery, Layla, Lydia on various topics in the late afternoon.\",\"I spent 11 talking to Nora, Avery, Layla, Lydia on various topics in the late afternoon.\"\n8856,2012/08/11,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n8857,2012/08/11,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n8858,2012/08/12,I really enjoyed yoga on 2012/08/12,I really enjoyed yoga on 2012/08/12\n8859,2012/08/12,\"I bought some blackberries, orange juice, sports drinks, tea, mouth wash from the grocery store. I saw Benjamin at the grocery store.\",\"I bought some blackberries, orange juice, sports drinks, tea, mouth wash from the grocery store. I saw Benjamin at the grocery store.\"\n8860,2012/08/12,I did hiking on 2012/08/12.,I did hiking on 2012/08/12.\n8861,2012/08/12,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n8862,2012/08/12,\"I had sandwich for lunch with Olivia, Piper, Kinsley, Nora, Rylee, Nevaeh, Hazel, Piper\",\"I had sandwich for lunch with Olivia, Piper, Kinsley, Nora, Rylee, Nevaeh, Hazel, Piper\"\n8863,2012/08/12,I prepare steak for dinner.,I prepare steak for dinner.\n8864,2012/08/12,\"I talked to Olivia, Avery, Hazel for 46 minutes during lunch hours.\",\"I talked to Olivia, Avery, Hazel for 46 minutes during lunch hours.\"\n8865,2012/08/12,\"I spent 13 talking to Claire, Olivia, Nora, Piper on various topics in the late afternoon.\",\"I spent 13 talking to Claire, Olivia, Nora, Piper on various topics in the late afternoon.\"\n8866,2012/08/12,\"I talked to Claire, Piper, Hazel, Olivia for 54 minutes in the morning.\",\"I talked to Claire, Piper, Hazel, Olivia for 54 minutes in the morning.\"\n8867,2012/08/12,\"I spent 11 talking to Nora, Lydia, Piper on various topics in the early afternoon.\",\"I spent 11 talking to Nora, Lydia, Piper on various topics in the early afternoon.\"\n8868,2012/08/12,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n8869,2012/08/12,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n8870,2012/08/13,I went on a date with Bella on 2012/08/13 at a boba shop,I went on a date with Bella on 2012/08/13 at a boba shop\n8871,2012/08/13,I did weight lifting on 2012/08/13.,I did weight lifting on 2012/08/13.\n8872,2012/08/13,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n8873,2012/08/13,\"I had indian food for lunch with Andrew, Carter, Emily, Kayden\",\"I had indian food for lunch with Andrew, Carter, Emily, Kayden\"\n8874,2012/08/13,\"I had a burger for dinner with Piper, Kinsley, Piper, Rylee, Hazel, Lydia, Eva\",\"I had a burger for dinner with Piper, Kinsley, Piper, Rylee, Hazel, Lydia, Eva\"\n8875,2012/08/13,\"I spent 45 talking to Rylee, Hazel on various topics in the morning.\",\"I spent 45 talking to Rylee, Hazel on various topics in the morning.\"\n8876,2012/08/13,I spent 15 talking to Claire on various topics in the early evening.,I spent 15 talking to Claire on various topics in the early evening.\n8877,2012/08/13,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n8878,2012/08/13,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n8879,2012/08/14,I did hiking on 2012/08/14.,I did hiking on 2012/08/14.\n8880,2012/08/14,I had cereals for breakfast with Emily,I had cereals for breakfast with Emily\n8881,2012/08/14,I ate a burger for lunch.,I ate a burger for lunch.\n8882,2012/08/14,I prepare sushi for dinner.,I prepare sushi for dinner.\n8883,2012/08/14,\"I spent 7 talking to Piper, Eva on various topics in the morning.\",\"I spent 7 talking to Piper, Eva on various topics in the morning.\"\n8884,2012/08/14,\"I spent 18 talking to Layla, Rylee, Avery on various topics in the morning.\",\"I spent 18 talking to Layla, Rylee, Avery on various topics in the morning.\"\n8885,2012/08/14,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n8886,2012/08/14,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n8887,2012/08/15,I did HIIT on 2012/08/15.,I did HIIT on 2012/08/15.\n8888,2012/08/15,\"I had peanut-butter-jam for breakfast with Avery, Willow, Benjamin\",\"I had peanut-butter-jam for breakfast with Avery, Willow, Benjamin\"\n8889,2012/08/15,I ate chinese food for lunch.,I ate chinese food for lunch.\n8890,2012/08/15,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n8891,2012/08/15,I spent 37 talking to Layla on various topics in the late afternoon.,I spent 37 talking to Layla on various topics in the late afternoon.\n8892,2012/08/15,\"I spent 20 talking to Olivia, Piper, Lydia on various topics during lunch hours.\",\"I spent 20 talking to Olivia, Piper, Lydia on various topics during lunch hours.\"\n8893,2012/08/15,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n8894,2012/08/15,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n8895,2012/08/16,I did biking on 2012/08/16.,I did biking on 2012/08/16.\n8896,2012/08/16,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n8897,2012/08/16,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n8898,2012/08/16,\"I had chinese food for dinner with Kinsley, Lydia, Nevaeh, Layla, Olivia, Nora, Piper\",\"I had chinese food for dinner with Kinsley, Lydia, Nevaeh, Layla, Olivia, Nora, Piper\"\n8899,2012/08/16,\"I spent 19 talking to Rylee, Eva, Hazel on various topics in the early afternoon.\",\"I spent 19 talking to Rylee, Eva, Hazel on various topics in the early afternoon.\"\n8900,2012/08/16,\"I talked to Lydia, Layla for 36 minutes in the late afternoon.\",\"I talked to Lydia, Layla for 36 minutes in the late afternoon.\"\n8901,2012/08/16,\"I spent 26 talking to Layla, Nora, Rylee, Lydia on various topics in the late afternoon.\",\"I spent 26 talking to Layla, Nora, Rylee, Lydia on various topics in the late afternoon.\"\n8902,2012/08/16,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n8903,2012/08/16,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n8904,2012/08/17,I did running on 2012/08/17.,I did running on 2012/08/17.\n8905,2012/08/17,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n8906,2012/08/17,I prepare tacos for lunch.,I prepare tacos for lunch.\n8907,2012/08/17,\"I had dinner with Olivia, Piper, Rylee, Eva, Avery, Kinsley, Nora, Nevaeh, Hazel, Lydia, Piper, Layla. I ate sushi.\",\"I had dinner with Olivia, Piper, Rylee, Eva, Avery, Kinsley, Nora, Nevaeh, Hazel, Lydia, Piper, Layla. I ate sushi.\"\n8908,2012/08/17,\"I talked to Nevaeh, Olivia, Piper for 38 minutes late in the evening.\",\"I talked to Nevaeh, Olivia, Piper for 38 minutes late in the evening.\"\n8909,2012/08/17,\"I talked to Eva, Piper for 28 minutes late in the evening.\",\"I talked to Eva, Piper for 28 minutes late in the evening.\"\n8910,2012/08/17,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n8911,2012/08/17,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n8912,2012/08/18,\"I spent time gardening on 2012/08/18 with Emily, Andrew.\",\"I spent time gardening on 2012/08/18 with Emily, Andrew.\"\n8913,2012/08/18,I did swimming on 2012/08/18.,I did swimming on 2012/08/18.\n8914,2012/08/18,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n8915,2012/08/18,\"I had lunch with Olivia, Lydia, Piper, Nora, Piper, Avery, Hazel, Eva, Kinsley, Claire, Rylee, Nevaeh. I ate indian food.\",\"I had lunch with Olivia, Lydia, Piper, Nora, Piper, Avery, Hazel, Eva, Kinsley, Claire, Rylee, Nevaeh. I ate indian food.\"\n8916,2012/08/18,I prepare steak for dinner.,I prepare steak for dinner.\n8917,2012/08/18,\"I spent 8 talking to Olivia, Hazel, Nora, Claire on various topics in the early afternoon.\",\"I spent 8 talking to Olivia, Hazel, Nora, Claire on various topics in the early afternoon.\"\n8918,2012/08/18,\"I spent 48 talking to Layla, Kinsley, Hazel, Olivia on various topics late in the evening.\",\"I spent 48 talking to Layla, Kinsley, Hazel, Olivia on various topics late in the evening.\"\n8919,2012/08/18,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n8920,2012/08/18,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n8921,2012/08/19,I went on a date with Camila on 2012/08/19 at a coffee Shop,I went on a date with Camila on 2012/08/19 at a coffee Shop\n8922,2012/08/19,I spent some time gardening on 2012/08/19.,I spent some time gardening on 2012/08/19.\n8923,2012/08/19,I did running on 2012/08/19.,I did running on 2012/08/19.\n8924,2012/08/19,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n8925,2012/08/19,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n8926,2012/08/19,I ate tacos for dinner.,I ate tacos for dinner.\n8927,2012/08/19,I spent 16 talking to Avery on various topics late in the evening.,I spent 16 talking to Avery on various topics late in the evening.\n8928,2012/08/19,\"I spent 43 talking to Piper, Kinsley, Claire, Layla on various topics in the early evening.\",\"I spent 43 talking to Piper, Kinsley, Claire, Layla on various topics in the early evening.\"\n8929,2012/08/19,\"I spent 42 talking to Piper, Nevaeh on various topics in the morning.\",\"I spent 42 talking to Piper, Nevaeh on various topics in the morning.\"\n8930,2012/08/19,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n8931,2012/08/19,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n8932,2012/08/20,I did HIIT on 2012/08/20.,I did HIIT on 2012/08/20.\n8933,2012/08/20,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n8934,2012/08/20,I ate pasta for lunch.,I ate pasta for lunch.\n8935,2012/08/20,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n8936,2012/08/20,I spent 54 talking to Piper on various topics in the morning.,I spent 54 talking to Piper on various topics in the morning.\n8937,2012/08/20,\"I talked to Kinsley, Hazel for 36 minutes in the early afternoon.\",\"I talked to Kinsley, Hazel for 36 minutes in the early afternoon.\"\n8938,2012/08/20,I talked to Layla for 24 minutes in the early afternoon.,I talked to Layla for 24 minutes in the early afternoon.\n8939,2012/08/20,I talked to Layla for 9 minutes in the late afternoon.,I talked to Layla for 9 minutes in the late afternoon.\n8940,2012/08/20,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n8941,2012/08/20,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n8942,2012/08/21,\"I went grocery shopping. I bought some oranges, mango juice, chocolate milk, orange juice, and paper towel, shaving cream, facial wash\",\"I went grocery shopping. I bought some oranges, mango juice, chocolate milk, orange juice, and paper towel, shaving cream, facial wash\"\n8943,2012/08/21,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n8944,2012/08/21,\"I had lunch with Andrew, Carter, Emily, Kayden. I ate steak.\",\"I had lunch with Andrew, Carter, Emily, Kayden. I ate steak.\"\n8945,2012/08/21,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n8946,2012/08/21,\"I spent 44 talking to Lydia, Claire, Hazel, Piper on various topics in the early afternoon.\",\"I spent 44 talking to Lydia, Claire, Hazel, Piper on various topics in the early afternoon.\"\n8947,2012/08/21,\"I talked to Layla, Lydia, Nevaeh for 20 minutes in the early afternoon.\",\"I talked to Layla, Lydia, Nevaeh for 20 minutes in the early afternoon.\"\n8948,2012/08/21,\"I spent 19 talking to Claire, Lydia, Eva on various topics late in the evening.\",\"I spent 19 talking to Claire, Lydia, Eva on various topics late in the evening.\"\n8949,2012/08/21,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n8950,2012/08/21,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n8951,2012/08/22,\"I bought some mangos, soda, shaving cream, mouth wash, toilet paper from the grocery store. I saw Kinsley, Olivia, Eva, Claire, Hazel, Piper, Nora, Rylee, Avery, Nevaeh, Piper, Layla at the grocery store.\",\"I bought some mangos, soda, shaving cream, mouth wash, toilet paper from the grocery store. I saw Kinsley, Olivia, Eva, Claire, Hazel, Piper, Nora, Rylee, Avery, Nevaeh, Piper, Layla at the grocery store.\"\n8952,2012/08/22,I did biking on 2012/08/22.,I did biking on 2012/08/22.\n8953,2012/08/22,\"I had peanut-butter-jam for breakfast with Andrew, Carter, Emily, Kayden\",\"I had peanut-butter-jam for breakfast with Andrew, Carter, Emily, Kayden\"\n8954,2012/08/22,\"I had lunch with Nevaeh, Nora, Rylee, Piper, Hazel, Claire, Kinsley, Avery, Lydia, Piper, Layla, Eva, Olivia. I ate tacos.\",\"I had lunch with Nevaeh, Nora, Rylee, Piper, Hazel, Claire, Kinsley, Avery, Lydia, Piper, Layla, Eva, Olivia. I ate tacos.\"\n8955,2012/08/22,\"I had fish and chips for dinner with Emily, Andrew\",\"I had fish and chips for dinner with Emily, Andrew\"\n8956,2012/08/22,I talked to Hazel for 24 minutes in the early evening.,I talked to Hazel for 24 minutes in the early evening.\n8957,2012/08/22,\"I talked to Kinsley, Nevaeh, Hazel, Avery for 6 minutes in the late afternoon.\",\"I talked to Kinsley, Nevaeh, Hazel, Avery for 6 minutes in the late afternoon.\"\n8958,2012/08/22,\"I talked to Piper, Eva, Hazel for 15 minutes in the morning.\",\"I talked to Piper, Eva, Hazel for 15 minutes in the morning.\"\n8959,2012/08/22,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n8960,2012/08/22,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n8961,2012/08/23,I did HIIT on 2012/08/23.,I did HIIT on 2012/08/23.\n8962,2012/08/23,\"I had oatmeal for breakfast with Rylee, Claire\",\"I had oatmeal for breakfast with Rylee, Claire\"\n8963,2012/08/23,\"I had tacos for lunch with Benjamin, Willow, Jackson\",\"I had tacos for lunch with Benjamin, Willow, Jackson\"\n8964,2012/08/23,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n8965,2012/08/23,\"I talked to Lydia, Claire for 48 minutes during lunch hours.\",\"I talked to Lydia, Claire for 48 minutes during lunch hours.\"\n8966,2012/08/23,\"I talked to Layla, Rylee, Lydia, Eva for 50 minutes in the morning.\",\"I talked to Layla, Rylee, Lydia, Eva for 50 minutes in the morning.\"\n8967,2012/08/23,I spent 25 talking to Nevaeh on various topics in the early afternoon.,I spent 25 talking to Nevaeh on various topics in the early afternoon.\n8968,2012/08/23,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n8969,2012/08/23,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n8970,2012/08/24,I did running on 2012/08/24.,I did running on 2012/08/24.\n8971,2012/08/24,\"I had breakfast with Benjamin, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Jackson. I ate peanut-butter-jam.\"\n8972,2012/08/24,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n8973,2012/08/24,\"I had dinner with Benjamin, Avery, Willow, Jackson. I ate chinese food.\",\"I had dinner with Benjamin, Avery, Willow, Jackson. I ate chinese food.\"\n8974,2012/08/24,\"I spent 31 talking to Hazel, Eva, Olivia, Claire on various topics in the early evening.\",\"I spent 31 talking to Hazel, Eva, Olivia, Claire on various topics in the early evening.\"\n8975,2012/08/24,\"I spent 35 talking to Nora, Layla, Hazel on various topics in the morning.\",\"I spent 35 talking to Nora, Layla, Hazel on various topics in the morning.\"\n8976,2012/08/24,\"I talked to Nora, Kinsley, Olivia for 7 minutes in the early afternoon.\",\"I talked to Nora, Kinsley, Olivia for 7 minutes in the early afternoon.\"\n8977,2012/08/24,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n8978,2012/08/24,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n8979,2012/08/25,I did weight lifting on 2012/08/25.,I did weight lifting on 2012/08/25.\n8980,2012/08/25,I had cereals for breakfast with Willow,I had cereals for breakfast with Willow\n8981,2012/08/25,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n8982,2012/08/25,\"I had chinese food for dinner with Jackson, Willow\",\"I had chinese food for dinner with Jackson, Willow\"\n8983,2012/08/25,I talked to Eva for 51 minutes during lunch hours.,I talked to Eva for 51 minutes during lunch hours.\n8984,2012/08/25,\"I spent 9 talking to Olivia, Layla, Nevaeh on various topics in the early evening.\",\"I spent 9 talking to Olivia, Layla, Nevaeh on various topics in the early evening.\"\n8985,2012/08/25,\"I talked to Eva, Claire, Olivia, Layla for 8 minutes during lunch hours.\",\"I talked to Eva, Claire, Olivia, Layla for 8 minutes during lunch hours.\"\n8986,2012/08/25,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n8987,2012/08/25,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n8988,2012/08/26,I did biking on 2012/08/26.,I did biking on 2012/08/26.\n8989,2012/08/26,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n8990,2012/08/26,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n8991,2012/08/26,I ate pasta for dinner.,I ate pasta for dinner.\n8992,2012/08/26,I spent 35 talking to Eva on various topics during lunch hours.,I spent 35 talking to Eva on various topics during lunch hours.\n8993,2012/08/26,\"I talked to Layla, Piper, Nora, Kinsley for 22 minutes in the morning.\",\"I talked to Layla, Piper, Nora, Kinsley for 22 minutes in the morning.\"\n8994,2012/08/26,\"I talked to Nevaeh, Lydia, Piper for 44 minutes late in the evening.\",\"I talked to Nevaeh, Lydia, Piper for 44 minutes late in the evening.\"\n8995,2012/08/26,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n8996,2012/08/26,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n8997,2012/08/27,I did HIIT on 2012/08/27.,I did HIIT on 2012/08/27.\n8998,2012/08/27,\"I had breakfast with Hazel. I ate eggs, sausages, and bread.\",\"I had breakfast with Hazel. I ate eggs, sausages, and bread.\"\n8999,2012/08/27,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n9000,2012/08/27,I ate sushi for dinner.,I ate sushi for dinner.\n9001,2012/08/27,\"I talked to Avery, Olivia, Nevaeh for 38 minutes in the early evening.\",\"I talked to Avery, Olivia, Nevaeh for 38 minutes in the early evening.\"\n9002,2012/08/27,I spent 40 talking to Claire on various topics in the early afternoon.,I spent 40 talking to Claire on various topics in the early afternoon.\n9003,2012/08/27,\"I talked to Nora, Olivia, Piper for 28 minutes in the late afternoon.\",\"I talked to Nora, Olivia, Piper for 28 minutes in the late afternoon.\"\n9004,2012/08/27,\"I spent 27 talking to Eva, Piper on various topics in the late afternoon.\",\"I spent 27 talking to Eva, Piper on various topics in the late afternoon.\"\n9005,2012/08/27,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n9006,2012/08/27,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n9007,2012/08/28,\"On 2012/08/28, I took Lydia on a date to a boba shop\",\"On 2012/08/28, I took Lydia on a date to a boba shop\"\n9008,2012/08/28,I did HIIT on 2012/08/28.,I did HIIT on 2012/08/28.\n9009,2012/08/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n9010,2012/08/28,I prepare a burger for lunch.,I prepare a burger for lunch.\n9011,2012/08/28,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n9012,2012/08/28,\"I spent 35 talking to Lydia, Nevaeh, Kinsley, Claire on various topics late in the evening.\",\"I spent 35 talking to Lydia, Nevaeh, Kinsley, Claire on various topics late in the evening.\"\n9013,2012/08/28,I talked to Rylee for 51 minutes in the late afternoon.,I talked to Rylee for 51 minutes in the late afternoon.\n9014,2012/08/28,\"I talked to Layla, Nevaeh, Olivia, Nora for 49 minutes in the late afternoon.\",\"I talked to Layla, Nevaeh, Olivia, Nora for 49 minutes in the late afternoon.\"\n9015,2012/08/28,I spent 54 talking to Olivia on various topics during lunch hours.,I spent 54 talking to Olivia on various topics during lunch hours.\n9016,2012/08/28,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n9017,2012/08/28,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n9018,2012/08/29,I went on a date with Wesley on 2012/08/29 at a coffee Shop,I went on a date with Wesley on 2012/08/29 at a coffee Shop\n9019,2012/08/29,I ate cereals for breakfast.,I ate cereals for breakfast.\n9020,2012/08/29,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n9021,2012/08/29,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n9022,2012/08/29,\"I talked to Avery, Kinsley, Eva, Piper for 19 minutes during lunch hours.\",\"I talked to Avery, Kinsley, Eva, Piper for 19 minutes during lunch hours.\"\n9023,2012/08/29,\"I spent 29 talking to Rylee, Piper, Hazel, Kinsley on various topics late in the evening.\",\"I spent 29 talking to Rylee, Piper, Hazel, Kinsley on various topics late in the evening.\"\n9024,2012/08/29,\"I talked to Avery, Olivia for 34 minutes late in the evening.\",\"I talked to Avery, Olivia for 34 minutes late in the evening.\"\n9025,2012/08/29,I spent 36 talking to Piper on various topics in the late afternoon.,I spent 36 talking to Piper on various topics in the late afternoon.\n9026,2012/08/29,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n9027,2012/08/29,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n9028,2012/08/30,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n9029,2012/08/30,I ate sushi for lunch.,I ate sushi for lunch.\n9030,2012/08/30,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n9031,2012/08/30,\"I spent 41 talking to Piper, Nora on various topics late in the evening.\",\"I spent 41 talking to Piper, Nora on various topics late in the evening.\"\n9032,2012/08/30,\"I talked to Olivia, Nora for 18 minutes late in the evening.\",\"I talked to Olivia, Nora for 18 minutes late in the evening.\"\n9033,2012/08/30,\"I spent 9 talking to Piper, Rylee, Olivia, Eva on various topics late in the evening.\",\"I spent 9 talking to Piper, Rylee, Olivia, Eva on various topics late in the evening.\"\n9034,2012/08/30,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n9035,2012/08/30,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n9036,2012/08/31,I did swimming on 2012/08/31.,I did swimming on 2012/08/31.\n9037,2012/08/31,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n9038,2012/08/31,\"I had lunch with Carter, Kayden. I ate sushi.\",\"I had lunch with Carter, Kayden. I ate sushi.\"\n9039,2012/08/31,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n9040,2012/08/31,I spent 31 talking to Olivia on various topics in the late afternoon.,I spent 31 talking to Olivia on various topics in the late afternoon.\n9041,2012/08/31,I talked to Layla for 14 minutes in the late afternoon.,I talked to Layla for 14 minutes in the late afternoon.\n9042,2012/08/31,\"I talked to Kinsley, Hazel, Claire for 22 minutes during lunch hours.\",\"I talked to Kinsley, Hazel, Claire for 22 minutes during lunch hours.\"\n9043,2012/08/31,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n9044,2012/08/31,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n9045,2012/09/01,\"I bought some nectarines, watermelons, raspberries, peaches, tea, soda, milk, orange juice, shampoo, mouthwash, mouth wash from the grocery store. I saw Lydia, Eva, Rylee, Claire, Piper, Piper, Avery, Nora, Olivia, Nevaeh, Layla at the grocery store.\",\"I bought some nectarines, watermelons, raspberries, peaches, tea, soda, milk, orange juice, shampoo, mouthwash, mouth wash from the grocery store. I saw Lydia, Eva, Rylee, Claire, Piper, Piper, Avery, Nora, Olivia, Nevaeh, Layla at the grocery store.\"\n9046,2012/09/01,I did swimming on 2012/09/01.,I did swimming on 2012/09/01.\n9047,2012/09/01,\"I had breakfast with Kayden, Carter. I ate oatmeal.\",\"I had breakfast with Kayden, Carter. I ate oatmeal.\"\n9048,2012/09/01,I had steak for lunch with Nora,I had steak for lunch with Nora\n9049,2012/09/01,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n9050,2012/09/01,I spent 54 talking to Layla on various topics during lunch hours.,I spent 54 talking to Layla on various topics during lunch hours.\n9051,2012/09/01,\"I talked to Piper, Rylee for 11 minutes during lunch hours.\",\"I talked to Piper, Rylee for 11 minutes during lunch hours.\"\n9052,2012/09/01,I talked to Kinsley for 16 minutes in the late afternoon.,I talked to Kinsley for 16 minutes in the late afternoon.\n9053,2012/09/01,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n9054,2012/09/01,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n9055,2012/09/02,I went on a date with Maya on 2012/09/02 at a park,I went on a date with Maya on 2012/09/02 at a park\n9056,2012/09/02,\"I went grocery shopping with Carter, Kayden, Andrew. I bought some clementines, raspberries, blackberries, orange juice, mineral water, and paper towel, body lotion, shaving cream\",\"I went grocery shopping with Carter, Kayden, Andrew. I bought some clementines, raspberries, blackberries, orange juice, mineral water, and paper towel, body lotion, shaving cream\"\n9057,2012/09/02,I did weight lifting on 2012/09/02.,I did weight lifting on 2012/09/02.\n9058,2012/09/02,I ate cereals for breakfast.,I ate cereals for breakfast.\n9059,2012/09/02,I had lunch with Layla. I ate sandwich.,I had lunch with Layla. I ate sandwich.\n9060,2012/09/02,\"I had dinner with Andrew, Emily, Carter. I ate indian food.\",\"I had dinner with Andrew, Emily, Carter. I ate indian food.\"\n9061,2012/09/02,\"I talked to Piper, Claire, Piper for 37 minutes in the early evening.\",\"I talked to Piper, Claire, Piper for 37 minutes in the early evening.\"\n9062,2012/09/02,I spent 39 talking to Piper on various topics in the early evening.,I spent 39 talking to Piper on various topics in the early evening.\n9063,2012/09/02,\"I spent 24 talking to Olivia, Kinsley on various topics in the early afternoon.\",\"I spent 24 talking to Olivia, Kinsley on various topics in the early afternoon.\"\n9064,2012/09/02,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n9065,2012/09/02,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n9066,2012/09/03,I did weight lifting on 2012/09/03.,I did weight lifting on 2012/09/03.\n9067,2012/09/03,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n9068,2012/09/03,\"I had lunch with Emily, Carter, Kayden, Andrew. I ate tacos.\",\"I had lunch with Emily, Carter, Kayden, Andrew. I ate tacos.\"\n9069,2012/09/03,I had indian food for dinner with Emily,I had indian food for dinner with Emily\n9070,2012/09/03,\"I talked to Rylee, Olivia for 48 minutes late in the evening.\",\"I talked to Rylee, Olivia for 48 minutes late in the evening.\"\n9071,2012/09/03,I spent 7 talking to Layla on various topics in the late afternoon.,I spent 7 talking to Layla on various topics in the late afternoon.\n9072,2012/09/03,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n9073,2012/09/03,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n9074,2012/09/04,\"I spent time meditation on 2012/09/04 with Eva, Hazel.\",\"I spent time meditation on 2012/09/04 with Eva, Hazel.\"\n9075,2012/09/04,I did weight lifting on 2012/09/04.,I did weight lifting on 2012/09/04.\n9076,2012/09/04,\"I had eggs, sausages, and bread for breakfast with Kayden, Carter\",\"I had eggs, sausages, and bread for breakfast with Kayden, Carter\"\n9077,2012/09/04,\"I had lunch with Avery, Willow. I ate sandwich.\",\"I had lunch with Avery, Willow. I ate sandwich.\"\n9078,2012/09/04,\"I had dinner with Avery, Willow. I ate chinese food.\",\"I had dinner with Avery, Willow. I ate chinese food.\"\n9079,2012/09/04,\"I spent 47 talking to Eva, Lydia on various topics in the morning.\",\"I spent 47 talking to Eva, Lydia on various topics in the morning.\"\n9080,2012/09/04,\"I spent 34 talking to Rylee, Eva on various topics in the morning.\",\"I spent 34 talking to Rylee, Eva on various topics in the morning.\"\n9081,2012/09/04,\"I talked to Nevaeh, Nora, Rylee for 28 minutes during lunch hours.\",\"I talked to Nevaeh, Nora, Rylee for 28 minutes during lunch hours.\"\n9082,2012/09/04,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n9083,2012/09/04,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n9084,2012/09/05,\"I bought some bananas, apricots, mangos, chocolate milk, mouthwash from the grocery store. I saw Benjamin, Willow, Avery, Jackson at the grocery store.\",\"I bought some bananas, apricots, mangos, chocolate milk, mouthwash from the grocery store. I saw Benjamin, Willow, Avery, Jackson at the grocery store.\"\n9085,2012/09/05,I did swimming on 2012/09/05.,I did swimming on 2012/09/05.\n9086,2012/09/05,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n9087,2012/09/05,I ate indian food for lunch.,I ate indian food for lunch.\n9088,2012/09/05,I prepare indian food for dinner.,I prepare indian food for dinner.\n9089,2012/09/05,\"I talked to Piper, Claire for 17 minutes in the morning.\",\"I talked to Piper, Claire for 17 minutes in the morning.\"\n9090,2012/09/05,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n9091,2012/09/05,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n9092,2012/09/06,I did weight lifting on 2012/09/06.,I did weight lifting on 2012/09/06.\n9093,2012/09/06,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n9094,2012/09/06,I had lunch with Andrew. I ate sushi.,I had lunch with Andrew. I ate sushi.\n9095,2012/09/06,\"I had pasta for dinner with Carter, Andrew\",\"I had pasta for dinner with Carter, Andrew\"\n9096,2012/09/06,\"I spent 31 talking to Kinsley, Lydia, Piper on various topics in the early evening.\",\"I spent 31 talking to Kinsley, Lydia, Piper on various topics in the early evening.\"\n9097,2012/09/06,I talked to Piper for 48 minutes in the morning.,I talked to Piper for 48 minutes in the morning.\n9098,2012/09/06,\"I talked to Olivia, Piper for 38 minutes during lunch hours.\",\"I talked to Olivia, Piper for 38 minutes during lunch hours.\"\n9099,2012/09/06,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n9100,2012/09/06,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n9101,2012/09/07,I did swimming on 2012/09/07.,I did swimming on 2012/09/07.\n9102,2012/09/07,\"I had breakfast with Andrew, Emily, Carter. I ate cereals.\",\"I had breakfast with Andrew, Emily, Carter. I ate cereals.\"\n9103,2012/09/07,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n9104,2012/09/07,\"I had dinner with Rylee, Kinsley, Lydia, Nora, Piper, Piper, Claire, Eva, Hazel, Avery, Layla. I ate sandwich.\",\"I had dinner with Rylee, Kinsley, Lydia, Nora, Piper, Piper, Claire, Eva, Hazel, Avery, Layla. I ate sandwich.\"\n9105,2012/09/07,\"I talked to Claire, Olivia, Hazel, Rylee for 46 minutes in the late afternoon.\",\"I talked to Claire, Olivia, Hazel, Rylee for 46 minutes in the late afternoon.\"\n9106,2012/09/07,\"I talked to Olivia, Claire, Kinsley for 37 minutes late in the evening.\",\"I talked to Olivia, Claire, Kinsley for 37 minutes late in the evening.\"\n9107,2012/09/07,\"I spent 41 talking to Layla, Rylee, Lydia on various topics during lunch hours.\",\"I spent 41 talking to Layla, Rylee, Lydia on various topics during lunch hours.\"\n9108,2012/09/07,I talked to Hazel for 30 minutes in the early evening.,I talked to Hazel for 30 minutes in the early evening.\n9109,2012/09/07,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n9110,2012/09/07,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n9111,2012/09/08,I spent some time learning a language on 2012/09/08.,I spent some time learning a language on 2012/09/08.\n9112,2012/09/08,I did running on 2012/09/08.,I did running on 2012/09/08.\n9113,2012/09/08,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n9114,2012/09/08,\"I had lunch with Nevaeh, Hazel, Piper, Piper. I ate tacos.\",\"I had lunch with Nevaeh, Hazel, Piper, Piper. I ate tacos.\"\n9115,2012/09/08,I prepare indian food for dinner.,I prepare indian food for dinner.\n9116,2012/09/08,\"I talked to Avery, Piper for 25 minutes late in the evening.\",\"I talked to Avery, Piper for 25 minutes late in the evening.\"\n9117,2012/09/08,\"I spent 37 talking to Claire, Olivia on various topics in the early afternoon.\",\"I spent 37 talking to Claire, Olivia on various topics in the early afternoon.\"\n9118,2012/09/08,\"I talked to Piper, Hazel, Nora, Nevaeh for 10 minutes in the early evening.\",\"I talked to Piper, Hazel, Nora, Nevaeh for 10 minutes in the early evening.\"\n9119,2012/09/08,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n9120,2012/09/08,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n9121,2012/09/09,I did HIIT on 2012/09/09.,I did HIIT on 2012/09/09.\n9122,2012/09/09,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n9123,2012/09/09,\"I had lunch with Andrew, Emily, Carter, Kayden. I ate tacos.\",\"I had lunch with Andrew, Emily, Carter, Kayden. I ate tacos.\"\n9124,2012/09/09,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n9125,2012/09/09,I spent 32 talking to Piper on various topics in the early afternoon.,I spent 32 talking to Piper on various topics in the early afternoon.\n9126,2012/09/09,\"I spent 16 talking to Piper, Rylee, Kinsley on various topics in the late afternoon.\",\"I spent 16 talking to Piper, Rylee, Kinsley on various topics in the late afternoon.\"\n9127,2012/09/09,\"I spent 41 talking to Kinsley, Layla, Hazel on various topics in the morning.\",\"I spent 41 talking to Kinsley, Layla, Hazel on various topics in the morning.\"\n9128,2012/09/09,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n9129,2012/09/09,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n9130,2012/09/10,\"I bought some watermelons, pineapples, blackberries, milk, orange juice, toothpaste online.\",\"I bought some watermelons, pineapples, blackberries, milk, orange juice, toothpaste online.\"\n9131,2012/09/10,I did swimming on 2012/09/10.,I did swimming on 2012/09/10.\n9132,2012/09/10,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n9133,2012/09/10,I ate pasta for lunch.,I ate pasta for lunch.\n9134,2012/09/10,\"I had dinner with Carter, Emily, Andrew. I ate fish and chips.\",\"I had dinner with Carter, Emily, Andrew. I ate fish and chips.\"\n9135,2012/09/10,\"I spent 11 talking to Avery, Claire, Kinsley, Piper on various topics in the early evening.\",\"I spent 11 talking to Avery, Claire, Kinsley, Piper on various topics in the early evening.\"\n9136,2012/09/10,\"I spent 39 talking to Claire, Layla, Piper, Avery on various topics in the late afternoon.\",\"I spent 39 talking to Claire, Layla, Piper, Avery on various topics in the late afternoon.\"\n9137,2012/09/10,\"I spent 37 talking to Nevaeh, Lydia, Eva on various topics in the early evening.\",\"I spent 37 talking to Nevaeh, Lydia, Eva on various topics in the early evening.\"\n9138,2012/09/10,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n9139,2012/09/10,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n9140,2012/09/11,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n9141,2012/09/11,I ate chinese food for lunch.,I ate chinese food for lunch.\n9142,2012/09/11,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n9143,2012/09/11,\"I talked to Layla, Eva, Lydia, Claire for 28 minutes in the early evening.\",\"I talked to Layla, Eva, Lydia, Claire for 28 minutes in the early evening.\"\n9144,2012/09/11,\"I spent 5 talking to Olivia, Piper, Kinsley on various topics in the early afternoon.\",\"I spent 5 talking to Olivia, Piper, Kinsley on various topics in the early afternoon.\"\n9145,2012/09/11,I talked to Nora for 27 minutes in the morning.,I talked to Nora for 27 minutes in the morning.\n9146,2012/09/11,I spent 6 minutes on social media today.,I spent 6 minutes on social media today.\n9147,2012/09/11,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n9148,2012/09/12,I spent some time yoga on 2012/09/12.,I spent some time yoga on 2012/09/12.\n9149,2012/09/12,I did running on 2012/09/12.,I did running on 2012/09/12.\n9150,2012/09/12,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n9151,2012/09/12,I prepare tacos for lunch.,I prepare tacos for lunch.\n9152,2012/09/12,\"I had sandwich for dinner with Nevaeh, Hazel, Kinsley\",\"I had sandwich for dinner with Nevaeh, Hazel, Kinsley\"\n9153,2012/09/12,\"I talked to Nevaeh, Olivia, Piper for 54 minutes in the early evening.\",\"I talked to Nevaeh, Olivia, Piper for 54 minutes in the early evening.\"\n9154,2012/09/12,\"I spent 12 talking to Layla, Nora on various topics during lunch hours.\",\"I spent 12 talking to Layla, Nora on various topics during lunch hours.\"\n9155,2012/09/12,I talked to Eva for 6 minutes in the early afternoon.,I talked to Eva for 6 minutes in the early afternoon.\n9156,2012/09/12,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n9157,2012/09/12,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n9158,2012/09/13,I did running on 2012/09/13.,I did running on 2012/09/13.\n9159,2012/09/13,\"I had oatmeal for breakfast with Emily, Andrew\",\"I had oatmeal for breakfast with Emily, Andrew\"\n9160,2012/09/13,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n9161,2012/09/13,I prepare sushi for dinner.,I prepare sushi for dinner.\n9162,2012/09/13,\"I talked to Avery, Lydia, Claire, Hazel for 27 minutes in the late afternoon.\",\"I talked to Avery, Lydia, Claire, Hazel for 27 minutes in the late afternoon.\"\n9163,2012/09/13,\"I spent 37 talking to Olivia, Eva on various topics in the early afternoon.\",\"I spent 37 talking to Olivia, Eva on various topics in the early afternoon.\"\n9164,2012/09/13,\"I talked to Layla, Hazel for 28 minutes in the morning.\",\"I talked to Layla, Hazel for 28 minutes in the morning.\"\n9165,2012/09/13,\"I talked to Piper, Lydia, Layla for 52 minutes late in the evening.\",\"I talked to Piper, Lydia, Layla for 52 minutes late in the evening.\"\n9166,2012/09/13,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n9167,2012/09/13,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n9168,2012/09/14,I did running on 2012/09/14.,I did running on 2012/09/14.\n9169,2012/09/14,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n9170,2012/09/14,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n9171,2012/09/14,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n9172,2012/09/14,\"I spent 42 talking to Piper, Nora on various topics in the morning.\",\"I spent 42 talking to Piper, Nora on various topics in the morning.\"\n9173,2012/09/14,\"I talked to Nevaeh, Piper, Lydia for 11 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Lydia for 11 minutes in the late afternoon.\"\n9174,2012/09/14,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n9175,2012/09/14,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n9176,2012/09/15,\"I bought some blackberries, nectarines, bananas, apple juice, soda, sports drinks, paper towel, mouthwash from the grocery store. I saw Kayden, Carter at the grocery store.\",\"I bought some blackberries, nectarines, bananas, apple juice, soda, sports drinks, paper towel, mouthwash from the grocery store. I saw Kayden, Carter at the grocery store.\"\n9177,2012/09/15,I did weight lifting on 2012/09/15.,I did weight lifting on 2012/09/15.\n9178,2012/09/15,\"I had breakfast with Hazel, Rylee, Kinsley, Claire, Nevaeh, Eva, Lydia, Olivia, Nora, Piper, Avery, Layla, Piper. I ate oatmeal.\",\"I had breakfast with Hazel, Rylee, Kinsley, Claire, Nevaeh, Eva, Lydia, Olivia, Nora, Piper, Avery, Layla, Piper. I ate oatmeal.\"\n9179,2012/09/15,I had lunch with Andrew. I ate a burger.,I had lunch with Andrew. I ate a burger.\n9180,2012/09/15,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n9181,2012/09/15,\"I talked to Hazel, Lydia, Piper for 15 minutes late in the evening.\",\"I talked to Hazel, Lydia, Piper for 15 minutes late in the evening.\"\n9182,2012/09/15,\"I talked to Piper, Claire, Nora, Kinsley for 23 minutes in the morning.\",\"I talked to Piper, Claire, Nora, Kinsley for 23 minutes in the morning.\"\n9183,2012/09/15,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n9184,2012/09/15,I spent 48 minutes watching a documentary on TV today.,I spent 48 minutes watching a documentary on TV today.\n9185,2012/09/16,I went on a date with Brook on 2012/09/16 at a park,I went on a date with Brook on 2012/09/16 at a park\n9186,2012/09/16,I did biking on 2012/09/16.,I did biking on 2012/09/16.\n9187,2012/09/16,I ate cereals for breakfast.,I ate cereals for breakfast.\n9188,2012/09/16,\"I had lunch with Olivia, Nora, Claire, Kinsley, Piper, Avery, Nevaeh, Eva, Lydia, Hazel, Rylee, Layla. I ate sushi.\",\"I had lunch with Olivia, Nora, Claire, Kinsley, Piper, Avery, Nevaeh, Eva, Lydia, Hazel, Rylee, Layla. I ate sushi.\"\n9189,2012/09/16,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n9190,2012/09/16,\"I talked to Rylee, Kinsley, Claire, Piper for 38 minutes in the early evening.\",\"I talked to Rylee, Kinsley, Claire, Piper for 38 minutes in the early evening.\"\n9191,2012/09/16,I spent 49 talking to Hazel on various topics during lunch hours.,I spent 49 talking to Hazel on various topics during lunch hours.\n9192,2012/09/16,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n9193,2012/09/16,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n9194,2012/09/17,I spent some time working out on 2012/09/17.,I spent some time working out on 2012/09/17.\n9195,2012/09/17,I did biking on 2012/09/17.,I did biking on 2012/09/17.\n9196,2012/09/17,\"I had breakfast with Jackson, Benjamin, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Benjamin, Willow. I ate eggs, sausages, and bread.\"\n9197,2012/09/17,I had lunch with Andrew. I ate indian food.,I had lunch with Andrew. I ate indian food.\n9198,2012/09/17,I prepare steak for dinner.,I prepare steak for dinner.\n9199,2012/09/17,\"I talked to Piper, Hazel for 21 minutes during lunch hours.\",\"I talked to Piper, Hazel for 21 minutes during lunch hours.\"\n9200,2012/09/17,I spent 43 talking to Piper on various topics in the morning.,I spent 43 talking to Piper on various topics in the morning.\n9201,2012/09/17,\"I spent 23 talking to Olivia, Layla on various topics during lunch hours.\",\"I spent 23 talking to Olivia, Layla on various topics during lunch hours.\"\n9202,2012/09/17,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n9203,2012/09/17,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n9204,2012/09/18,\"I went grocery shopping with Piper, Layla, Lydia. I bought some oranges, bananas, cherres, clementines, mineral water, tea, sports drinks, guava juice, and mouthwash, shampoo\",\"I went grocery shopping with Piper, Layla, Lydia. I bought some oranges, bananas, cherres, clementines, mineral water, tea, sports drinks, guava juice, and mouthwash, shampoo\"\n9205,2012/09/18,I did biking on 2012/09/18.,I did biking on 2012/09/18.\n9206,2012/09/18,I had peanut-butter-jam for breakfast with Benjamin,I had peanut-butter-jam for breakfast with Benjamin\n9207,2012/09/18,I had pasta for lunch with Kayden,I had pasta for lunch with Kayden\n9208,2012/09/18,I prepare tacos for dinner.,I prepare tacos for dinner.\n9209,2012/09/18,\"I spent 22 talking to Claire, Lydia on various topics in the morning.\",\"I spent 22 talking to Claire, Lydia on various topics in the morning.\"\n9210,2012/09/18,\"I talked to Nora, Layla, Piper for 36 minutes in the early afternoon.\",\"I talked to Nora, Layla, Piper for 36 minutes in the early afternoon.\"\n9211,2012/09/18,\"I spent 37 talking to Avery, Piper, Layla, Rylee on various topics in the late afternoon.\",\"I spent 37 talking to Avery, Piper, Layla, Rylee on various topics in the late afternoon.\"\n9212,2012/09/18,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n9213,2012/09/18,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n9214,2012/09/19,\"On 2012/09/19, I took Skylar on a date to a coffee Shop\",\"On 2012/09/19, I took Skylar on a date to a coffee Shop\"\n9215,2012/09/19,I did weight lifting on 2012/09/19.,I did weight lifting on 2012/09/19.\n9216,2012/09/19,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n9217,2012/09/19,\"I had pasta for lunch with Emily, Carter\",\"I had pasta for lunch with Emily, Carter\"\n9218,2012/09/19,\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\",\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\"\n9219,2012/09/19,\"I spent 6 talking to Kinsley, Layla, Avery, Nevaeh on various topics late in the evening.\",\"I spent 6 talking to Kinsley, Layla, Avery, Nevaeh on various topics late in the evening.\"\n9220,2012/09/19,\"I spent 19 talking to Eva, Layla, Nora on various topics during lunch hours.\",\"I spent 19 talking to Eva, Layla, Nora on various topics during lunch hours.\"\n9221,2012/09/19,\"I talked to Eva, Avery for 35 minutes in the early evening.\",\"I talked to Eva, Avery for 35 minutes in the early evening.\"\n9222,2012/09/19,\"I spent 18 talking to Eva, Rylee, Olivia on various topics in the early evening.\",\"I spent 18 talking to Eva, Rylee, Olivia on various topics in the early evening.\"\n9223,2012/09/19,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n9224,2012/09/19,I spent 54 minutes watching a movie on TV today.,I spent 54 minutes watching a movie on TV today.\n9225,2012/09/20,\"I bought some peaches, watermelons, guava, coffee, apple juice, toothbrush, toilet paper, shaving cream from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\",\"I bought some peaches, watermelons, guava, coffee, apple juice, toothbrush, toilet paper, shaving cream from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\"\n9226,2012/09/20,I did swimming on 2012/09/20.,I did swimming on 2012/09/20.\n9227,2012/09/20,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n9228,2012/09/20,\"I had a burger for lunch with Benjamin, Jackson, Willow\",\"I had a burger for lunch with Benjamin, Jackson, Willow\"\n9229,2012/09/20,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n9230,2012/09/20,I spent 26 talking to Lydia on various topics during lunch hours.,I spent 26 talking to Lydia on various topics during lunch hours.\n9231,2012/09/20,\"I talked to Kinsley, Piper, Lydia, Rylee for 30 minutes in the late afternoon.\",\"I talked to Kinsley, Piper, Lydia, Rylee for 30 minutes in the late afternoon.\"\n9232,2012/09/20,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n9233,2012/09/20,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n9234,2012/09/21,I did hiking on 2012/09/21.,I did hiking on 2012/09/21.\n9235,2012/09/21,\"I had breakfast with Eva, Lydia. I ate pancakes.\",\"I had breakfast with Eva, Lydia. I ate pancakes.\"\n9236,2012/09/21,\"I had pasta for lunch with Emily, Kayden, Andrew, Carter\",\"I had pasta for lunch with Emily, Kayden, Andrew, Carter\"\n9237,2012/09/21,I had dinner with Nora. I ate pasta.,I had dinner with Nora. I ate pasta.\n9238,2012/09/21,\"I spent 20 talking to Claire, Eva on various topics during lunch hours.\",\"I spent 20 talking to Claire, Eva on various topics during lunch hours.\"\n9239,2012/09/21,\"I spent 46 talking to Claire, Olivia, Eva, Rylee on various topics during lunch hours.\",\"I spent 46 talking to Claire, Olivia, Eva, Rylee on various topics during lunch hours.\"\n9240,2012/09/21,I talked to Piper for 24 minutes in the early afternoon.,I talked to Piper for 24 minutes in the early afternoon.\n9241,2012/09/21,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n9242,2012/09/21,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n9243,2012/09/22,I did biking on 2012/09/22.,I did biking on 2012/09/22.\n9244,2012/09/22,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n9245,2012/09/22,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n9246,2012/09/22,I had dinner. I ate steak.,I had dinner. I ate steak.\n9247,2012/09/22,I talked to Nevaeh for 46 minutes late in the evening.,I talked to Nevaeh for 46 minutes late in the evening.\n9248,2012/09/22,\"I spent 54 talking to Rylee, Olivia on various topics during lunch hours.\",\"I spent 54 talking to Rylee, Olivia on various topics during lunch hours.\"\n9249,2012/09/22,\"I spent 8 talking to Piper, Nora on various topics during lunch hours.\",\"I spent 8 talking to Piper, Nora on various topics during lunch hours.\"\n9250,2012/09/22,\"I spent 30 talking to Kinsley, Piper, Lydia, Nevaeh on various topics in the late afternoon.\",\"I spent 30 talking to Kinsley, Piper, Lydia, Nevaeh on various topics in the late afternoon.\"\n9251,2012/09/22,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n9252,2012/09/22,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n9253,2012/09/23,I went on a date with Serenity on 2012/09/23 at a coffee Shop,I went on a date with Serenity on 2012/09/23 at a coffee Shop\n9254,2012/09/23,\"I spent time meditation on 2012/09/23 with Carter, Kayden.\",\"I spent time meditation on 2012/09/23 with Carter, Kayden.\"\n9255,2012/09/23,\"I went grocery shopping with Lydia, Rylee, Nevaeh, Piper, Avery, Eva, Kinsley, Claire. I bought some bananas, mandarins, chocolate milk, mineral water, and mouth wash, conditioner, shampoo\",\"I went grocery shopping with Lydia, Rylee, Nevaeh, Piper, Avery, Eva, Kinsley, Claire. I bought some bananas, mandarins, chocolate milk, mineral water, and mouth wash, conditioner, shampoo\"\n9256,2012/09/23,I did swimming on 2012/09/23.,I did swimming on 2012/09/23.\n9257,2012/09/23,I ate cereals for breakfast.,I ate cereals for breakfast.\n9258,2012/09/23,\"I had lunch with Emily, Carter. I ate a burger.\",\"I had lunch with Emily, Carter. I ate a burger.\"\n9259,2012/09/23,I had dinner with Carter. I ate chinese food.,I had dinner with Carter. I ate chinese food.\n9260,2012/09/23,\"I talked to Claire, Piper, Piper for 25 minutes in the early evening.\",\"I talked to Claire, Piper, Piper for 25 minutes in the early evening.\"\n9261,2012/09/23,I talked to Lydia for 7 minutes during lunch hours.,I talked to Lydia for 7 minutes during lunch hours.\n9262,2012/09/23,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n9263,2012/09/23,I watched a documentary for 46 minutes on TV today.,I watched a documentary for 46 minutes on TV today.\n9264,2012/09/24,I did running on 2012/09/24.,I did running on 2012/09/24.\n9265,2012/09/24,\"I had breakfast with Carter, Emily, Kayden. I ate pancakes.\",\"I had breakfast with Carter, Emily, Kayden. I ate pancakes.\"\n9266,2012/09/24,\"I had lunch with Andrew, Carter, Kayden, Emily. I ate chinese food.\",\"I had lunch with Andrew, Carter, Kayden, Emily. I ate chinese food.\"\n9267,2012/09/24,I prepare pasta for dinner.,I prepare pasta for dinner.\n9268,2012/09/24,I talked to Lydia for 16 minutes in the early evening.,I talked to Lydia for 16 minutes in the early evening.\n9269,2012/09/24,\"I talked to Eva, Piper for 14 minutes late in the evening.\",\"I talked to Eva, Piper for 14 minutes late in the evening.\"\n9270,2012/09/24,\"I talked to Lydia, Nora for 13 minutes in the early afternoon.\",\"I talked to Lydia, Nora for 13 minutes in the early afternoon.\"\n9271,2012/09/24,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n9272,2012/09/24,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n9273,2012/09/25,I did biking on 2012/09/25.,I did biking on 2012/09/25.\n9274,2012/09/25,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n9275,2012/09/25,I had pasta for lunch with Carter,I had pasta for lunch with Carter\n9276,2012/09/25,\"I had dinner with Hazel, Nevaeh, Claire, Eva, Piper, Lydia, Layla, Olivia, Nora, Piper, Kinsley, Rylee. I ate sushi.\",\"I had dinner with Hazel, Nevaeh, Claire, Eva, Piper, Lydia, Layla, Olivia, Nora, Piper, Kinsley, Rylee. I ate sushi.\"\n9277,2012/09/25,\"I spent 47 talking to Lydia, Claire, Nevaeh on various topics in the early evening.\",\"I spent 47 talking to Lydia, Claire, Nevaeh on various topics in the early evening.\"\n9278,2012/09/25,I spent 9 talking to Piper on various topics in the early evening.,I spent 9 talking to Piper on various topics in the early evening.\n9279,2012/09/25,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n9280,2012/09/25,I watched a documentary for 36 minutes on TV today.,I watched a documentary for 36 minutes on TV today.\n9281,2012/09/26,I spent some time gardening on 2012/09/26.,I spent some time gardening on 2012/09/26.\n9282,2012/09/26,I did running on 2012/09/26.,I did running on 2012/09/26.\n9283,2012/09/26,\"I had peanut-butter-jam for breakfast with Lydia, Layla, Rylee, Hazel, Avery, Claire, Piper, Nevaeh, Kinsley, Eva\",\"I had peanut-butter-jam for breakfast with Lydia, Layla, Rylee, Hazel, Avery, Claire, Piper, Nevaeh, Kinsley, Eva\"\n9284,2012/09/26,\"I had pasta for lunch with Olivia, Eva, Layla, Hazel, Nora, Rylee, Lydia, Claire\",\"I had pasta for lunch with Olivia, Eva, Layla, Hazel, Nora, Rylee, Lydia, Claire\"\n9285,2012/09/26,I ate steak for dinner.,I ate steak for dinner.\n9286,2012/09/26,\"I talked to Piper, Avery, Nevaeh for 21 minutes late in the evening.\",\"I talked to Piper, Avery, Nevaeh for 21 minutes late in the evening.\"\n9287,2012/09/26,\"I talked to Piper, Olivia, Avery for 23 minutes in the early afternoon.\",\"I talked to Piper, Olivia, Avery for 23 minutes in the early afternoon.\"\n9288,2012/09/26,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n9289,2012/09/26,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n9290,2012/09/27,\"I bought some apples, cherres, mangos, mandarins, soda, chocolate milk, mango juice, mouthwash, mouth wash, shaving cream from the grocery store. I saw Carter at the grocery store.\",\"I bought some apples, cherres, mangos, mandarins, soda, chocolate milk, mango juice, mouthwash, mouth wash, shaving cream from the grocery store. I saw Carter at the grocery store.\"\n9291,2012/09/27,I did swimming on 2012/09/27.,I did swimming on 2012/09/27.\n9292,2012/09/27,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n9293,2012/09/27,I had indian food for lunch with Carter,I had indian food for lunch with Carter\n9294,2012/09/27,I ate a burger for dinner.,I ate a burger for dinner.\n9295,2012/09/27,\"I talked to Olivia, Avery for 55 minutes in the morning.\",\"I talked to Olivia, Avery for 55 minutes in the morning.\"\n9296,2012/09/27,\"I spent 20 talking to Piper, Kinsley, Lydia on various topics in the early evening.\",\"I spent 20 talking to Piper, Kinsley, Lydia on various topics in the early evening.\"\n9297,2012/09/27,I spent 52 talking to Olivia on various topics late in the evening.,I spent 52 talking to Olivia on various topics late in the evening.\n9298,2012/09/27,\"I spent 38 talking to Nora, Piper, Nevaeh, Layla on various topics during lunch hours.\",\"I spent 38 talking to Nora, Piper, Nevaeh, Layla on various topics during lunch hours.\"\n9299,2012/09/27,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n9300,2012/09/27,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n9301,2012/09/28,I did biking on 2012/09/28.,I did biking on 2012/09/28.\n9302,2012/09/28,\"I had toast and cheese for breakfast with Kayden, Andrew, Emily, Carter\",\"I had toast and cheese for breakfast with Kayden, Andrew, Emily, Carter\"\n9303,2012/09/28,I ate chinese food for lunch.,I ate chinese food for lunch.\n9304,2012/09/28,I had dinner with Carter. I ate sandwich.,I had dinner with Carter. I ate sandwich.\n9305,2012/09/28,\"I spent 18 talking to Olivia, Lydia on various topics in the early afternoon.\",\"I spent 18 talking to Olivia, Lydia on various topics in the early afternoon.\"\n9306,2012/09/28,\"I talked to Claire, Olivia, Eva, Avery for 46 minutes in the morning.\",\"I talked to Claire, Olivia, Eva, Avery for 46 minutes in the morning.\"\n9307,2012/09/28,\"I spent 49 talking to Olivia, Nevaeh, Layla, Lydia on various topics late in the evening.\",\"I spent 49 talking to Olivia, Nevaeh, Layla, Lydia on various topics late in the evening.\"\n9308,2012/09/28,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n9309,2012/09/28,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n9310,2012/09/29,I did hiking on 2012/09/29.,I did hiking on 2012/09/29.\n9311,2012/09/29,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n9312,2012/09/29,\"I had lunch with Nora, Nevaeh, Olivia, Layla, Avery, Claire, Piper. I ate sushi.\",\"I had lunch with Nora, Nevaeh, Olivia, Layla, Avery, Claire, Piper. I ate sushi.\"\n9313,2012/09/29,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n9314,2012/09/29,\"I talked to Olivia, Layla, Eva, Piper for 14 minutes in the early evening.\",\"I talked to Olivia, Layla, Eva, Piper for 14 minutes in the early evening.\"\n9315,2012/09/29,\"I talked to Kinsley, Avery, Lydia, Layla for 32 minutes during lunch hours.\",\"I talked to Kinsley, Avery, Lydia, Layla for 32 minutes during lunch hours.\"\n9316,2012/09/29,\"I spent 21 talking to Olivia, Piper, Claire on various topics in the morning.\",\"I spent 21 talking to Olivia, Piper, Claire on various topics in the morning.\"\n9317,2012/09/29,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n9318,2012/09/29,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n9319,2012/09/30,I did weight lifting on 2012/09/30.,I did weight lifting on 2012/09/30.\n9320,2012/09/30,\"I had toast and cheese for breakfast with Carter, Emily, Kayden\",\"I had toast and cheese for breakfast with Carter, Emily, Kayden\"\n9321,2012/09/30,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n9322,2012/09/30,\"I had fish and chips for dinner with Carter, Emily, Andrew, Kayden\",\"I had fish and chips for dinner with Carter, Emily, Andrew, Kayden\"\n9323,2012/09/30,\"I talked to Avery, Eva for 37 minutes in the morning.\",\"I talked to Avery, Eva for 37 minutes in the morning.\"\n9324,2012/09/30,\"I spent 18 talking to Kinsley, Hazel, Olivia on various topics in the early afternoon.\",\"I spent 18 talking to Kinsley, Hazel, Olivia on various topics in the early afternoon.\"\n9325,2012/09/30,\"I spent 55 talking to Kinsley, Nora, Nevaeh, Lydia on various topics late in the evening.\",\"I spent 55 talking to Kinsley, Nora, Nevaeh, Lydia on various topics late in the evening.\"\n9326,2012/09/30,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n9327,2012/09/30,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n9328,2012/10/01,I really enjoyed meditation on 2012/10/01,I really enjoyed meditation on 2012/10/01\n9329,2012/10/01,I did weight lifting on 2012/10/01.,I did weight lifting on 2012/10/01.\n9330,2012/10/01,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n9331,2012/10/01,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n9332,2012/10/01,\"I had chinese food for dinner with Andrew, Kayden, Carter, Emily\",\"I had chinese food for dinner with Andrew, Kayden, Carter, Emily\"\n9333,2012/10/01,\"I talked to Nevaeh, Piper, Olivia for 24 minutes in the morning.\",\"I talked to Nevaeh, Piper, Olivia for 24 minutes in the morning.\"\n9334,2012/10/01,\"I spent 39 talking to Hazel, Rylee, Olivia on various topics in the early evening.\",\"I spent 39 talking to Hazel, Rylee, Olivia on various topics in the early evening.\"\n9335,2012/10/01,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n9336,2012/10/01,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n9337,2012/10/02,I did running on 2012/10/02.,I did running on 2012/10/02.\n9338,2012/10/02,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n9339,2012/10/02,I had chinese food for lunch with Jackson,I had chinese food for lunch with Jackson\n9340,2012/10/02,I ate indian food for dinner.,I ate indian food for dinner.\n9341,2012/10/02,\"I spent 51 talking to Layla, Piper, Eva, Olivia on various topics in the early evening.\",\"I spent 51 talking to Layla, Piper, Eva, Olivia on various topics in the early evening.\"\n9342,2012/10/02,\"I spent 33 talking to Rylee, Nora, Claire, Olivia on various topics during lunch hours.\",\"I spent 33 talking to Rylee, Nora, Claire, Olivia on various topics during lunch hours.\"\n9343,2012/10/02,\"I talked to Piper, Kinsley, Layla for 41 minutes in the morning.\",\"I talked to Piper, Kinsley, Layla for 41 minutes in the morning.\"\n9344,2012/10/02,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n9345,2012/10/02,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n9346,2012/10/03,I did weight lifting on 2012/10/03.,I did weight lifting on 2012/10/03.\n9347,2012/10/03,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n9348,2012/10/03,I prepare indian food for lunch.,I prepare indian food for lunch.\n9349,2012/10/03,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n9350,2012/10/03,\"I talked to Layla, Kinsley, Olivia for 31 minutes in the early afternoon.\",\"I talked to Layla, Kinsley, Olivia for 31 minutes in the early afternoon.\"\n9351,2012/10/03,\"I talked to Kinsley, Nevaeh, Piper for 10 minutes during lunch hours.\",\"I talked to Kinsley, Nevaeh, Piper for 10 minutes during lunch hours.\"\n9352,2012/10/03,I talked to Olivia for 38 minutes in the early evening.,I talked to Olivia for 38 minutes in the early evening.\n9353,2012/10/03,\"I talked to Piper, Layla, Eva, Olivia for 53 minutes in the early evening.\",\"I talked to Piper, Layla, Eva, Olivia for 53 minutes in the early evening.\"\n9354,2012/10/03,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n9355,2012/10/03,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n9356,2012/10/04,I did running on 2012/10/04.,I did running on 2012/10/04.\n9357,2012/10/04,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n9358,2012/10/04,I prepare indian food for lunch.,I prepare indian food for lunch.\n9359,2012/10/04,\"I had dinner with Avery, Willow, Benjamin, Jackson. I ate sushi.\",\"I had dinner with Avery, Willow, Benjamin, Jackson. I ate sushi.\"\n9360,2012/10/04,\"I talked to Eva, Claire, Nevaeh, Rylee for 14 minutes during lunch hours.\",\"I talked to Eva, Claire, Nevaeh, Rylee for 14 minutes during lunch hours.\"\n9361,2012/10/04,\"I spent 29 talking to Layla, Piper on various topics in the early evening.\",\"I spent 29 talking to Layla, Piper on various topics in the early evening.\"\n9362,2012/10/04,\"I talked to Layla, Olivia, Rylee, Nora for 8 minutes in the early afternoon.\",\"I talked to Layla, Olivia, Rylee, Nora for 8 minutes in the early afternoon.\"\n9363,2012/10/04,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n9364,2012/10/04,I spent 47 minutes watching a movie on TV today.,I spent 47 minutes watching a movie on TV today.\n9365,2012/10/05,\"On 2012/10/05, I took Eli on a date to a boba shop\",\"On 2012/10/05, I took Eli on a date to a boba shop\"\n9366,2012/10/05,I really enjoyed yoga on 2012/10/05,I really enjoyed yoga on 2012/10/05\n9367,2012/10/05,\"I went grocery shopping. I bought some peaches, mangos, mango juice, milk, guava juice, mineral water, and mouth wash, toothpaste\",\"I went grocery shopping. I bought some peaches, mangos, mango juice, milk, guava juice, mineral water, and mouth wash, toothpaste\"\n9368,2012/10/05,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n9369,2012/10/05,I ate steak for lunch.,I ate steak for lunch.\n9370,2012/10/05,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n9371,2012/10/05,\"I talked to Claire, Hazel, Piper for 55 minutes late in the evening.\",\"I talked to Claire, Hazel, Piper for 55 minutes late in the evening.\"\n9372,2012/10/05,\"I spent 22 talking to Avery, Rylee on various topics in the early evening.\",\"I spent 22 talking to Avery, Rylee on various topics in the early evening.\"\n9373,2012/10/05,\"I spent 34 talking to Claire, Nevaeh, Piper, Layla on various topics in the early evening.\",\"I spent 34 talking to Claire, Nevaeh, Piper, Layla on various topics in the early evening.\"\n9374,2012/10/05,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n9375,2012/10/05,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n9376,2012/10/06,I did HIIT on 2012/10/06.,I did HIIT on 2012/10/06.\n9377,2012/10/06,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n9378,2012/10/06,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n9379,2012/10/06,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n9380,2012/10/06,I talked to Olivia for 36 minutes in the early evening.,I talked to Olivia for 36 minutes in the early evening.\n9381,2012/10/06,\"I talked to Lydia, Kinsley, Eva for 32 minutes in the morning.\",\"I talked to Lydia, Kinsley, Eva for 32 minutes in the morning.\"\n9382,2012/10/06,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n9383,2012/10/06,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n9384,2012/10/07,I did hiking on 2012/10/07.,I did hiking on 2012/10/07.\n9385,2012/10/07,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n9386,2012/10/07,\"I had a burger for lunch with Nevaeh, Claire, Piper, Avery, Piper, Lydia, Eva, Rylee, Hazel, Nora, Kinsley, Olivia\",\"I had a burger for lunch with Nevaeh, Claire, Piper, Avery, Piper, Lydia, Eva, Rylee, Hazel, Nora, Kinsley, Olivia\"\n9387,2012/10/07,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n9388,2012/10/07,\"I spent 32 talking to Hazel, Nora, Layla on various topics in the morning.\",\"I spent 32 talking to Hazel, Nora, Layla on various topics in the morning.\"\n9389,2012/10/07,\"I spent 28 talking to Rylee, Layla, Hazel, Eva on various topics in the late afternoon.\",\"I spent 28 talking to Rylee, Layla, Hazel, Eva on various topics in the late afternoon.\"\n9390,2012/10/07,\"I spent 51 talking to Kinsley, Avery, Nevaeh on various topics in the early evening.\",\"I spent 51 talking to Kinsley, Avery, Nevaeh on various topics in the early evening.\"\n9391,2012/10/07,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n9392,2012/10/07,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n9393,2012/10/08,I went for an annual dental cleaning and checkup on 2012/10/08 at the private clinic.,I went for an annual dental cleaning and checkup on 2012/10/08 at the private clinic.\n9394,2012/10/08,I did running on 2012/10/08.,I did running on 2012/10/08.\n9395,2012/10/08,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n9396,2012/10/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n9397,2012/10/08,\"I had dinner with Kayden, Carter, Andrew, Emily. I ate chinese food.\",\"I had dinner with Kayden, Carter, Andrew, Emily. I ate chinese food.\"\n9398,2012/10/08,\"I talked to Piper, Hazel, Kinsley for 42 minutes during lunch hours.\",\"I talked to Piper, Hazel, Kinsley for 42 minutes during lunch hours.\"\n9399,2012/10/08,I talked to Piper for 10 minutes in the morning.,I talked to Piper for 10 minutes in the morning.\n9400,2012/10/08,I talked to Rylee for 42 minutes during lunch hours.,I talked to Rylee for 42 minutes during lunch hours.\n9401,2012/10/08,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n9402,2012/10/08,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n9403,2012/10/09,I went on a date with Alon on 2012/10/09 at a park,I went on a date with Alon on 2012/10/09 at a park\n9404,2012/10/09,\"I bought some pears, watermelons, soda, tea, apple juice, guava juice, mouthwash from the grocery store. I saw Claire, Avery, Nora, Piper, Nevaeh, Hazel, Piper, Eva, Olivia, Rylee at the grocery store.\",\"I bought some pears, watermelons, soda, tea, apple juice, guava juice, mouthwash from the grocery store. I saw Claire, Avery, Nora, Piper, Nevaeh, Hazel, Piper, Eva, Olivia, Rylee at the grocery store.\"\n9405,2012/10/09,I did biking on 2012/10/09.,I did biking on 2012/10/09.\n9406,2012/10/09,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n9407,2012/10/09,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n9408,2012/10/09,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n9409,2012/10/09,\"I spent 35 talking to Olivia, Avery, Eva on various topics in the late afternoon.\",\"I spent 35 talking to Olivia, Avery, Eva on various topics in the late afternoon.\"\n9410,2012/10/09,\"I talked to Layla, Claire for 21 minutes in the early afternoon.\",\"I talked to Layla, Claire for 21 minutes in the early afternoon.\"\n9411,2012/10/09,I spent 51 talking to Olivia on various topics in the morning.,I spent 51 talking to Olivia on various topics in the morning.\n9412,2012/10/09,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n9413,2012/10/09,I spent 41 minutes watching a movie on TV today.,I spent 41 minutes watching a movie on TV today.\n9414,2012/10/10,I did HIIT on 2012/10/10.,I did HIIT on 2012/10/10.\n9415,2012/10/10,I had peanut-butter-jam for breakfast with Andrew,I had peanut-butter-jam for breakfast with Andrew\n9416,2012/10/10,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n9417,2012/10/10,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n9418,2012/10/10,\"I spent 30 talking to Nora, Rylee, Piper on various topics in the late afternoon.\",\"I spent 30 talking to Nora, Rylee, Piper on various topics in the late afternoon.\"\n9419,2012/10/10,\"I talked to Nora, Avery, Eva, Rylee for 21 minutes in the early afternoon.\",\"I talked to Nora, Avery, Eva, Rylee for 21 minutes in the early afternoon.\"\n9420,2012/10/10,\"I spent 54 talking to Rylee, Eva, Kinsley on various topics in the early afternoon.\",\"I spent 54 talking to Rylee, Eva, Kinsley on various topics in the early afternoon.\"\n9421,2012/10/10,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n9422,2012/10/10,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n9423,2012/10/11,\"On 2012/10/11, I took Savannah on a date to a boba shop\",\"On 2012/10/11, I took Savannah on a date to a boba shop\"\n9424,2012/10/11,\"I bought some blueberries, strawberries, mangos, chocolate milk, sports drinks, guava juice, apple juice, toothbrush, shaving cream, shampoo online.\",\"I bought some blueberries, strawberries, mangos, chocolate milk, sports drinks, guava juice, apple juice, toothbrush, shaving cream, shampoo online.\"\n9425,2012/10/11,I did swimming on 2012/10/11.,I did swimming on 2012/10/11.\n9426,2012/10/11,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n9427,2012/10/11,\"I had lunch with Carter, Emily. I ate pasta.\",\"I had lunch with Carter, Emily. I ate pasta.\"\n9428,2012/10/11,I ate a burger for dinner.,I ate a burger for dinner.\n9429,2012/10/11,\"I talked to Eva, Piper, Kinsley for 54 minutes in the late afternoon.\",\"I talked to Eva, Piper, Kinsley for 54 minutes in the late afternoon.\"\n9430,2012/10/11,\"I talked to Eva, Layla, Hazel for 17 minutes during lunch hours.\",\"I talked to Eva, Layla, Hazel for 17 minutes during lunch hours.\"\n9431,2012/10/11,I talked to Layla for 54 minutes during lunch hours.,I talked to Layla for 54 minutes during lunch hours.\n9432,2012/10/11,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n9433,2012/10/11,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n9434,2012/10/12,I did swimming on 2012/10/12.,I did swimming on 2012/10/12.\n9435,2012/10/12,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n9436,2012/10/12,I prepare steak for lunch.,I prepare steak for lunch.\n9437,2012/10/12,\"I had sandwich for dinner with Andrew, Kayden, Emily, Carter\",\"I had sandwich for dinner with Andrew, Kayden, Emily, Carter\"\n9438,2012/10/12,\"I talked to Rylee, Kinsley, Piper for 15 minutes in the morning.\",\"I talked to Rylee, Kinsley, Piper for 15 minutes in the morning.\"\n9439,2012/10/12,\"I spent 27 talking to Olivia, Kinsley, Avery, Hazel on various topics in the morning.\",\"I spent 27 talking to Olivia, Kinsley, Avery, Hazel on various topics in the morning.\"\n9440,2012/10/12,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n9441,2012/10/12,I spent 46 minutes watching a movie on TV today.,I spent 46 minutes watching a movie on TV today.\n9442,2012/10/13,\"I had cereals for breakfast with Emily, Andrew\",\"I had cereals for breakfast with Emily, Andrew\"\n9443,2012/10/13,I ate chinese food for lunch.,I ate chinese food for lunch.\n9444,2012/10/13,I prepare steak for dinner.,I prepare steak for dinner.\n9445,2012/10/13,I talked to Piper for 52 minutes late in the evening.,I talked to Piper for 52 minutes late in the evening.\n9446,2012/10/13,\"I spent 32 talking to Layla, Kinsley, Nora on various topics during lunch hours.\",\"I spent 32 talking to Layla, Kinsley, Nora on various topics during lunch hours.\"\n9447,2012/10/13,I talked to Eva for 17 minutes during lunch hours.,I talked to Eva for 17 minutes during lunch hours.\n9448,2012/10/13,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n9449,2012/10/13,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n9450,2012/10/14,I did weight lifting on 2012/10/14.,I did weight lifting on 2012/10/14.\n9451,2012/10/14,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n9452,2012/10/14,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n9453,2012/10/14,I ate steak for dinner.,I ate steak for dinner.\n9454,2012/10/14,\"I talked to Lydia, Eva, Olivia for 51 minutes in the early afternoon.\",\"I talked to Lydia, Eva, Olivia for 51 minutes in the early afternoon.\"\n9455,2012/10/14,I talked to Avery for 40 minutes in the late afternoon.,I talked to Avery for 40 minutes in the late afternoon.\n9456,2012/10/14,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n9457,2012/10/14,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n9458,2012/10/15,\"On 2012/10/15, I took Camila on a date to a park\",\"On 2012/10/15, I took Camila on a date to a park\"\n9459,2012/10/15,I did hiking on 2012/10/15.,I did hiking on 2012/10/15.\n9460,2012/10/15,I had toast and cheese for breakfast with Nevaeh,I had toast and cheese for breakfast with Nevaeh\n9461,2012/10/15,\"I had lunch with Kinsley, Rylee, Piper, Nora, Avery, Nevaeh, Eva. I ate tacos.\",\"I had lunch with Kinsley, Rylee, Piper, Nora, Avery, Nevaeh, Eva. I ate tacos.\"\n9462,2012/10/15,I had dinner with Carter. I ate sushi.,I had dinner with Carter. I ate sushi.\n9463,2012/10/15,\"I spent 37 talking to Rylee, Nora, Hazel on various topics late in the evening.\",\"I spent 37 talking to Rylee, Nora, Hazel on various topics late in the evening.\"\n9464,2012/10/15,\"I spent 43 talking to Olivia, Hazel, Eva, Nora on various topics in the early afternoon.\",\"I spent 43 talking to Olivia, Hazel, Eva, Nora on various topics in the early afternoon.\"\n9465,2012/10/15,\"I talked to Piper, Olivia, Layla for 44 minutes in the early afternoon.\",\"I talked to Piper, Olivia, Layla for 44 minutes in the early afternoon.\"\n9466,2012/10/15,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n9467,2012/10/15,I watched news for 5 minutes on TV today.,I watched news for 5 minutes on TV today.\n9468,2012/10/16,\"I bought some peaches, mandarins, pears, bananas, orange juice, paper towel, conditioner, toothpaste online.\",\"I bought some peaches, mandarins, pears, bananas, orange juice, paper towel, conditioner, toothpaste online.\"\n9469,2012/10/16,I did HIIT on 2012/10/16.,I did HIIT on 2012/10/16.\n9470,2012/10/16,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n9471,2012/10/16,I had lunch. I ate steak.,I had lunch. I ate steak.\n9472,2012/10/16,I ate sushi for dinner.,I ate sushi for dinner.\n9473,2012/10/16,I talked to Avery for 8 minutes in the morning.,I talked to Avery for 8 minutes in the morning.\n9474,2012/10/16,I talked to Layla for 22 minutes during lunch hours.,I talked to Layla for 22 minutes during lunch hours.\n9475,2012/10/16,\"I spent 31 talking to Claire, Piper, Lydia, Avery on various topics in the morning.\",\"I spent 31 talking to Claire, Piper, Lydia, Avery on various topics in the morning.\"\n9476,2012/10/16,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n9477,2012/10/16,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n9478,2012/10/17,I did biking on 2012/10/17.,I did biking on 2012/10/17.\n9479,2012/10/17,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n9480,2012/10/17,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n9481,2012/10/17,\"I had dinner with Claire, Piper, Eva, Lydia, Layla, Rylee, Hazel, Olivia, Kinsley, Nevaeh, Nora. I ate sushi.\",\"I had dinner with Claire, Piper, Eva, Lydia, Layla, Rylee, Hazel, Olivia, Kinsley, Nevaeh, Nora. I ate sushi.\"\n9482,2012/10/17,I spent 33 talking to Layla on various topics in the early afternoon.,I spent 33 talking to Layla on various topics in the early afternoon.\n9483,2012/10/17,\"I spent 48 talking to Avery, Nevaeh, Layla, Kinsley on various topics in the early evening.\",\"I spent 48 talking to Avery, Nevaeh, Layla, Kinsley on various topics in the early evening.\"\n9484,2012/10/17,\"I talked to Rylee, Claire, Layla for 33 minutes late in the evening.\",\"I talked to Rylee, Claire, Layla for 33 minutes late in the evening.\"\n9485,2012/10/17,\"I spent 18 talking to Layla, Nevaeh, Hazel, Nora on various topics late in the evening.\",\"I spent 18 talking to Layla, Nevaeh, Hazel, Nora on various topics late in the evening.\"\n9486,2012/10/17,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n9487,2012/10/17,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n9488,2012/10/18,I ate cereals for breakfast.,I ate cereals for breakfast.\n9489,2012/10/18,\"I had indian food for lunch with Emily, Kayden\",\"I had indian food for lunch with Emily, Kayden\"\n9490,2012/10/18,I prepare sushi for dinner.,I prepare sushi for dinner.\n9491,2012/10/18,I spent 30 talking to Piper on various topics in the early afternoon.,I spent 30 talking to Piper on various topics in the early afternoon.\n9492,2012/10/18,\"I spent 53 talking to Piper, Claire on various topics in the late afternoon.\",\"I spent 53 talking to Piper, Claire on various topics in the late afternoon.\"\n9493,2012/10/18,\"I spent 32 talking to Avery, Kinsley on various topics in the early evening.\",\"I spent 32 talking to Avery, Kinsley on various topics in the early evening.\"\n9494,2012/10/18,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n9495,2012/10/18,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n9496,2012/10/19,\"I bought some pears, mangos, clementines, blueberries, coffee, guava juice, shaving cream, toothpaste from the grocery store. I saw Kayden at the grocery store.\",\"I bought some pears, mangos, clementines, blueberries, coffee, guava juice, shaving cream, toothpaste from the grocery store. I saw Kayden at the grocery store.\"\n9497,2012/10/19,I did hiking on 2012/10/19.,I did hiking on 2012/10/19.\n9498,2012/10/19,I had pancakes for breakfast with Andrew,I had pancakes for breakfast with Andrew\n9499,2012/10/19,\"I had lunch with Eva, Lydia, Piper, Avery. I ate pasta.\",\"I had lunch with Eva, Lydia, Piper, Avery. I ate pasta.\"\n9500,2012/10/19,I ate tacos for dinner.,I ate tacos for dinner.\n9501,2012/10/19,\"I spent 48 talking to Nora, Olivia on various topics in the morning.\",\"I spent 48 talking to Nora, Olivia on various topics in the morning.\"\n9502,2012/10/19,I spent 23 talking to Avery on various topics during lunch hours.,I spent 23 talking to Avery on various topics during lunch hours.\n9503,2012/10/19,\"I talked to Avery, Lydia for 32 minutes in the late afternoon.\",\"I talked to Avery, Lydia for 32 minutes in the late afternoon.\"\n9504,2012/10/19,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n9505,2012/10/19,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n9506,2012/10/20,I did HIIT on 2012/10/20.,I did HIIT on 2012/10/20.\n9507,2012/10/20,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n9508,2012/10/20,I had lunch with Kayden. I ate chinese food.,I had lunch with Kayden. I ate chinese food.\n9509,2012/10/20,I prepare pasta for dinner.,I prepare pasta for dinner.\n9510,2012/10/20,\"I talked to Layla, Nora, Lydia for 41 minutes during lunch hours.\",\"I talked to Layla, Nora, Lydia for 41 minutes during lunch hours.\"\n9511,2012/10/20,\"I spent 27 talking to Rylee, Nora, Lydia, Piper on various topics in the early afternoon.\",\"I spent 27 talking to Rylee, Nora, Lydia, Piper on various topics in the early afternoon.\"\n9512,2012/10/20,\"I talked to Kinsley, Hazel, Rylee, Layla for 31 minutes in the early afternoon.\",\"I talked to Kinsley, Hazel, Rylee, Layla for 31 minutes in the early afternoon.\"\n9513,2012/10/20,I talked to Hazel for 45 minutes in the morning.,I talked to Hazel for 45 minutes in the morning.\n9514,2012/10/20,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n9515,2012/10/20,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n9516,2012/10/21,I did weight lifting on 2012/10/21.,I did weight lifting on 2012/10/21.\n9517,2012/10/21,\"I had cereals for breakfast with Avery, Willow, Benjamin, Jackson\",\"I had cereals for breakfast with Avery, Willow, Benjamin, Jackson\"\n9518,2012/10/21,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n9519,2012/10/21,I prepare indian food for dinner.,I prepare indian food for dinner.\n9520,2012/10/21,\"I talked to Nora, Nevaeh, Rylee, Eva for 33 minutes late in the evening.\",\"I talked to Nora, Nevaeh, Rylee, Eva for 33 minutes late in the evening.\"\n9521,2012/10/21,\"I talked to Olivia, Rylee, Layla, Eva for 16 minutes in the early evening.\",\"I talked to Olivia, Rylee, Layla, Eva for 16 minutes in the early evening.\"\n9522,2012/10/21,\"I talked to Rylee, Claire for 5 minutes in the late afternoon.\",\"I talked to Rylee, Claire for 5 minutes in the late afternoon.\"\n9523,2012/10/21,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n9524,2012/10/21,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n9525,2012/10/22,\"On 2012/10/22, I took Lucy on a date to a park\",\"On 2012/10/22, I took Lucy on a date to a park\"\n9526,2012/10/22,\"I bought some bananas, chocolate milk, pineapple juice, shampoo, toothpaste, toilet paper, mouth wash online.\",\"I bought some bananas, chocolate milk, pineapple juice, shampoo, toothpaste, toilet paper, mouth wash online.\"\n9527,2012/10/22,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n9528,2012/10/22,\"I had lunch with Emily, Kayden, Andrew, Carter. I ate tacos.\",\"I had lunch with Emily, Kayden, Andrew, Carter. I ate tacos.\"\n9529,2012/10/22,I prepare a burger for dinner.,I prepare a burger for dinner.\n9530,2012/10/22,I talked to Layla for 19 minutes in the early afternoon.,I talked to Layla for 19 minutes in the early afternoon.\n9531,2012/10/22,\"I talked to Claire, Nora, Nevaeh for 54 minutes in the late afternoon.\",\"I talked to Claire, Nora, Nevaeh for 54 minutes in the late afternoon.\"\n9532,2012/10/22,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n9533,2012/10/22,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n9534,2012/10/23,I did running on 2012/10/23.,I did running on 2012/10/23.\n9535,2012/10/23,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n9536,2012/10/23,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n9537,2012/10/23,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n9538,2012/10/23,\"I spent 42 talking to Piper, Eva, Nevaeh on various topics during lunch hours.\",\"I spent 42 talking to Piper, Eva, Nevaeh on various topics during lunch hours.\"\n9539,2012/10/23,\"I talked to Hazel, Piper, Eva, Layla for 33 minutes in the early afternoon.\",\"I talked to Hazel, Piper, Eva, Layla for 33 minutes in the early afternoon.\"\n9540,2012/10/23,\"I spent 16 talking to Hazel, Lydia on various topics in the late afternoon.\",\"I spent 16 talking to Hazel, Lydia on various topics in the late afternoon.\"\n9541,2012/10/23,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n9542,2012/10/23,I watched news for 29 minutes on TV today.,I watched news for 29 minutes on TV today.\n9543,2012/10/24,I did swimming on 2012/10/24.,I did swimming on 2012/10/24.\n9544,2012/10/24,\"I had breakfast with Avery, Nevaeh, Lydia, Eva, Piper. I ate toast and cheese.\",\"I had breakfast with Avery, Nevaeh, Lydia, Eva, Piper. I ate toast and cheese.\"\n9545,2012/10/24,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n9546,2012/10/24,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n9547,2012/10/24,I spent 32 talking to Claire on various topics in the morning.,I spent 32 talking to Claire on various topics in the morning.\n9548,2012/10/24,I spent 36 talking to Piper on various topics in the early afternoon.,I spent 36 talking to Piper on various topics in the early afternoon.\n9549,2012/10/24,\"I talked to Kinsley, Hazel, Avery, Nevaeh for 39 minutes late in the evening.\",\"I talked to Kinsley, Hazel, Avery, Nevaeh for 39 minutes late in the evening.\"\n9550,2012/10/24,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n9551,2012/10/24,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n9552,2012/10/25,\"On 2012/10/25, I took Zoey on a date to a restaurant\",\"On 2012/10/25, I took Zoey on a date to a restaurant\"\n9553,2012/10/25,I did biking on 2012/10/25.,I did biking on 2012/10/25.\n9554,2012/10/25,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n9555,2012/10/25,\"I had lunch with Nora, Piper, Lydia, Rylee. I ate sandwich.\",\"I had lunch with Nora, Piper, Lydia, Rylee. I ate sandwich.\"\n9556,2012/10/25,I had dinner with Carter. I ate chinese food.,I had dinner with Carter. I ate chinese food.\n9557,2012/10/25,\"I spent 6 talking to Claire, Piper, Kinsley, Piper on various topics in the morning.\",\"I spent 6 talking to Claire, Piper, Kinsley, Piper on various topics in the morning.\"\n9558,2012/10/25,\"I talked to Layla, Avery for 36 minutes in the early afternoon.\",\"I talked to Layla, Avery for 36 minutes in the early afternoon.\"\n9559,2012/10/25,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n9560,2012/10/25,I spent 49 minutes watching a documentary on TV today.,I spent 49 minutes watching a documentary on TV today.\n9561,2012/10/26,I did hiking on 2012/10/26.,I did hiking on 2012/10/26.\n9562,2012/10/26,\"I had breakfast with Carter, Emily, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Emily, Kayden. I ate peanut-butter-jam.\"\n9563,2012/10/26,I had lunch. I ate steak.,I had lunch. I ate steak.\n9564,2012/10/26,I ate sushi for dinner.,I ate sushi for dinner.\n9565,2012/10/26,\"I spent 41 talking to Piper, Olivia, Avery on various topics in the early afternoon.\",\"I spent 41 talking to Piper, Olivia, Avery on various topics in the early afternoon.\"\n9566,2012/10/26,\"I spent 24 talking to Piper, Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 24 talking to Piper, Piper, Nevaeh on various topics in the early afternoon.\"\n9567,2012/10/26,\"I spent 7 talking to Claire, Lydia on various topics during lunch hours.\",\"I spent 7 talking to Claire, Lydia on various topics during lunch hours.\"\n9568,2012/10/26,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n9569,2012/10/26,I watched a tv series for 5 minutes on TV today.,I watched a tv series for 5 minutes on TV today.\n9570,2012/10/27,\"I went grocery shopping. I bought some apricots, nectarines, strawberries, sports drinks, orange juice, pineapple juice, mango juice, and shampoo, toothbrush, mouth wash, body lotion\",\"I went grocery shopping. I bought some apricots, nectarines, strawberries, sports drinks, orange juice, pineapple juice, mango juice, and shampoo, toothbrush, mouth wash, body lotion\"\n9571,2012/10/27,I did swimming on 2012/10/27.,I did swimming on 2012/10/27.\n9572,2012/10/27,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n9573,2012/10/27,\"I had lunch with Willow, Benjamin, Avery. I ate sandwich.\",\"I had lunch with Willow, Benjamin, Avery. I ate sandwich.\"\n9574,2012/10/27,\"I had dinner with Nevaeh, Piper, Claire, Eva. I ate steak.\",\"I had dinner with Nevaeh, Piper, Claire, Eva. I ate steak.\"\n9575,2012/10/27,I spent 21 talking to Rylee on various topics in the morning.,I spent 21 talking to Rylee on various topics in the morning.\n9576,2012/10/27,\"I talked to Hazel, Lydia for 30 minutes during lunch hours.\",\"I talked to Hazel, Lydia for 30 minutes during lunch hours.\"\n9577,2012/10/27,I spent 27 minutes on social media today.,I spent 27 minutes on social media today.\n9578,2012/10/27,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n9579,2012/10/28,I did weight lifting on 2012/10/28.,I did weight lifting on 2012/10/28.\n9580,2012/10/28,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n9581,2012/10/28,\"I had lunch with Jackson, Benjamin, Avery, Willow. I ate fish and chips.\",\"I had lunch with Jackson, Benjamin, Avery, Willow. I ate fish and chips.\"\n9582,2012/10/28,I had dinner with Carter. I ate sandwich.,I had dinner with Carter. I ate sandwich.\n9583,2012/10/28,\"I spent 32 talking to Piper, Kinsley on various topics in the early evening.\",\"I spent 32 talking to Piper, Kinsley on various topics in the early evening.\"\n9584,2012/10/28,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n9585,2012/10/28,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n9586,2012/10/29,\"I bought some blueberries, cherres, watermelons, guava, soda, tea, body lotion from the grocery store. I saw Kayden, Carter at the grocery store.\",\"I bought some blueberries, cherres, watermelons, guava, soda, tea, body lotion from the grocery store. I saw Kayden, Carter at the grocery store.\"\n9587,2012/10/29,I did swimming on 2012/10/29.,I did swimming on 2012/10/29.\n9588,2012/10/29,I had cereals for breakfast with Willow,I had cereals for breakfast with Willow\n9589,2012/10/29,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n9590,2012/10/29,\"I had dinner with Kayden, Emily, Carter. I ate a burger.\",\"I had dinner with Kayden, Emily, Carter. I ate a burger.\"\n9591,2012/10/29,\"I spent 33 talking to Olivia, Rylee, Hazel on various topics in the early afternoon.\",\"I spent 33 talking to Olivia, Rylee, Hazel on various topics in the early afternoon.\"\n9592,2012/10/29,I spent 15 talking to Nora on various topics in the morning.,I spent 15 talking to Nora on various topics in the morning.\n9593,2012/10/29,\"I spent 23 talking to Lydia, Hazel, Nora, Piper on various topics in the late afternoon.\",\"I spent 23 talking to Lydia, Hazel, Nora, Piper on various topics in the late afternoon.\"\n9594,2012/10/29,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n9595,2012/10/29,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n9596,2012/10/30,I did biking on 2012/10/30.,I did biking on 2012/10/30.\n9597,2012/10/30,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n9598,2012/10/30,I had lunch. I ate steak.,I had lunch. I ate steak.\n9599,2012/10/30,I had sandwich for dinner with Carter,I had sandwich for dinner with Carter\n9600,2012/10/30,\"I talked to Avery, Kinsley, Hazel, Piper for 6 minutes in the late afternoon.\",\"I talked to Avery, Kinsley, Hazel, Piper for 6 minutes in the late afternoon.\"\n9601,2012/10/30,\"I talked to Avery, Piper, Nora, Eva for 39 minutes late in the evening.\",\"I talked to Avery, Piper, Nora, Eva for 39 minutes late in the evening.\"\n9602,2012/10/30,\"I spent 16 talking to Lydia, Claire on various topics late in the evening.\",\"I spent 16 talking to Lydia, Claire on various topics late in the evening.\"\n9603,2012/10/30,\"I talked to Lydia, Olivia, Hazel, Avery for 14 minutes in the early afternoon.\",\"I talked to Lydia, Olivia, Hazel, Avery for 14 minutes in the early afternoon.\"\n9604,2012/10/30,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n9605,2012/10/30,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n9606,2012/10/31,I did running on 2012/10/31.,I did running on 2012/10/31.\n9607,2012/10/31,\"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\"\n9608,2012/10/31,I prepare a burger for lunch.,I prepare a burger for lunch.\n9609,2012/10/31,I ate pasta for dinner.,I ate pasta for dinner.\n9610,2012/10/31,\"I spent 46 talking to Hazel, Avery on various topics in the early afternoon.\",\"I spent 46 talking to Hazel, Avery on various topics in the early afternoon.\"\n9611,2012/10/31,\"I talked to Nevaeh, Eva, Piper for 46 minutes in the morning.\",\"I talked to Nevaeh, Eva, Piper for 46 minutes in the morning.\"\n9612,2012/10/31,\"I talked to Lydia, Eva, Avery, Hazel for 31 minutes late in the evening.\",\"I talked to Lydia, Eva, Avery, Hazel for 31 minutes late in the evening.\"\n9613,2012/10/31,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n9614,2012/10/31,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n9615,2012/11/01,I went on a date with Hailey on 2012/11/01 at a park,I went on a date with Hailey on 2012/11/01 at a park\n9616,2012/11/01,I did hiking on 2012/11/01.,I did hiking on 2012/11/01.\n9617,2012/11/01,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n9618,2012/11/01,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n9619,2012/11/01,\"I had dinner with Emily, Carter. I ate steak.\",\"I had dinner with Emily, Carter. I ate steak.\"\n9620,2012/11/01,I spent 18 talking to Avery on various topics in the early evening.,I spent 18 talking to Avery on various topics in the early evening.\n9621,2012/11/01,\"I talked to Lydia, Avery, Rylee for 30 minutes in the late afternoon.\",\"I talked to Lydia, Avery, Rylee for 30 minutes in the late afternoon.\"\n9622,2012/11/01,\"I talked to Nevaeh, Claire, Hazel, Olivia for 37 minutes in the early afternoon.\",\"I talked to Nevaeh, Claire, Hazel, Olivia for 37 minutes in the early afternoon.\"\n9623,2012/11/01,I talked to Kinsley for 38 minutes in the early afternoon.,I talked to Kinsley for 38 minutes in the early afternoon.\n9624,2012/11/01,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n9625,2012/11/01,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n9626,2012/11/02,I did HIIT on 2012/11/02.,I did HIIT on 2012/11/02.\n9627,2012/11/02,\"I had breakfast with Jackson, Benjamin. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Benjamin. I ate eggs, sausages, and bread.\"\n9628,2012/11/02,I prepare pasta for lunch.,I prepare pasta for lunch.\n9629,2012/11/02,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n9630,2012/11/02,\"I spent 30 talking to Piper, Nora on various topics late in the evening.\",\"I spent 30 talking to Piper, Nora on various topics late in the evening.\"\n9631,2012/11/02,\"I spent 17 talking to Kinsley, Avery on various topics in the early afternoon.\",\"I spent 17 talking to Kinsley, Avery on various topics in the early afternoon.\"\n9632,2012/11/02,\"I talked to Piper, Nora, Layla for 17 minutes in the early afternoon.\",\"I talked to Piper, Nora, Layla for 17 minutes in the early afternoon.\"\n9633,2012/11/02,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n9634,2012/11/02,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n9635,2012/11/03,\"I bought some apples, milk, shampoo, shaving cream, toilet paper, body lotion online.\",\"I bought some apples, milk, shampoo, shaving cream, toilet paper, body lotion online.\"\n9636,2012/11/03,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n9637,2012/11/03,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n9638,2012/11/03,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n9639,2012/11/03,\"I spent 11 talking to Hazel, Kinsley on various topics during lunch hours.\",\"I spent 11 talking to Hazel, Kinsley on various topics during lunch hours.\"\n9640,2012/11/03,I spent 37 talking to Kinsley on various topics in the early afternoon.,I spent 37 talking to Kinsley on various topics in the early afternoon.\n9641,2012/11/03,\"I talked to Hazel, Avery for 45 minutes in the early evening.\",\"I talked to Hazel, Avery for 45 minutes in the early evening.\"\n9642,2012/11/03,\"I spent 45 talking to Rylee, Nevaeh, Hazel, Layla on various topics during lunch hours.\",\"I spent 45 talking to Rylee, Nevaeh, Hazel, Layla on various topics during lunch hours.\"\n9643,2012/11/03,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n9644,2012/11/03,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n9645,2012/11/04,I did swimming on 2012/11/04.,I did swimming on 2012/11/04.\n9646,2012/11/04,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n9647,2012/11/04,\"I had lunch with Benjamin, Avery, Willow. I ate indian food.\",\"I had lunch with Benjamin, Avery, Willow. I ate indian food.\"\n9648,2012/11/04,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n9649,2012/11/04,\"I talked to Olivia, Eva, Kinsley for 6 minutes in the morning.\",\"I talked to Olivia, Eva, Kinsley for 6 minutes in the morning.\"\n9650,2012/11/04,\"I spent 36 talking to Kinsley, Rylee, Avery on various topics in the morning.\",\"I spent 36 talking to Kinsley, Rylee, Avery on various topics in the morning.\"\n9651,2012/11/04,\"I spent 5 talking to Avery, Hazel on various topics in the early evening.\",\"I spent 5 talking to Avery, Hazel on various topics in the early evening.\"\n9652,2012/11/04,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n9653,2012/11/04,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n9654,2012/11/05,\"I went grocery shopping with Andrew, Carter, Emily, Kayden. I bought some raspberries, chocolate milk, coffee, and toilet paper, facial wash\",\"I went grocery shopping with Andrew, Carter, Emily, Kayden. I bought some raspberries, chocolate milk, coffee, and toilet paper, facial wash\"\n9655,2012/11/05,I did biking on 2012/11/05.,I did biking on 2012/11/05.\n9656,2012/11/05,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n9657,2012/11/05,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n9658,2012/11/05,I ate sandwich for dinner.,I ate sandwich for dinner.\n9659,2012/11/05,I spent 35 talking to Nevaeh on various topics during lunch hours.,I spent 35 talking to Nevaeh on various topics during lunch hours.\n9660,2012/11/05,\"I spent 39 talking to Lydia, Layla, Rylee on various topics in the late afternoon.\",\"I spent 39 talking to Lydia, Layla, Rylee on various topics in the late afternoon.\"\n9661,2012/11/05,\"I spent 27 talking to Nevaeh, Kinsley, Lydia on various topics in the late afternoon.\",\"I spent 27 talking to Nevaeh, Kinsley, Lydia on various topics in the late afternoon.\"\n9662,2012/11/05,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n9663,2012/11/05,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n9664,2012/11/06,I did hiking on 2012/11/06.,I did hiking on 2012/11/06.\n9665,2012/11/06,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n9666,2012/11/06,I had lunch with Carter. I ate sushi.,I had lunch with Carter. I ate sushi.\n9667,2012/11/06,I prepare indian food for dinner.,I prepare indian food for dinner.\n9668,2012/11/06,\"I spent 42 talking to Lydia, Claire on various topics late in the evening.\",\"I spent 42 talking to Lydia, Claire on various topics late in the evening.\"\n9669,2012/11/06,\"I spent 38 talking to Lydia, Piper, Olivia, Nevaeh on various topics in the early afternoon.\",\"I spent 38 talking to Lydia, Piper, Olivia, Nevaeh on various topics in the early afternoon.\"\n9670,2012/11/06,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n9671,2012/11/06,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n9672,2012/11/07,I did hiking on 2012/11/07.,I did hiking on 2012/11/07.\n9673,2012/11/07,\"I had toast and cheese for breakfast with Nora, Piper, Claire, Lydia, Kinsley, Avery, Nevaeh, Rylee, Piper\",\"I had toast and cheese for breakfast with Nora, Piper, Claire, Lydia, Kinsley, Avery, Nevaeh, Rylee, Piper\"\n9674,2012/11/07,I prepare a burger for lunch.,I prepare a burger for lunch.\n9675,2012/11/07,I prepare tacos for dinner.,I prepare tacos for dinner.\n9676,2012/11/07,I talked to Avery for 17 minutes late in the evening.,I talked to Avery for 17 minutes late in the evening.\n9677,2012/11/07,\"I talked to Layla, Kinsley, Nevaeh for 30 minutes in the morning.\",\"I talked to Layla, Kinsley, Nevaeh for 30 minutes in the morning.\"\n9678,2012/11/07,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n9679,2012/11/07,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n9680,2012/11/08,\"I went grocery shopping with Emily, Carter. I bought some apples, soda, guava juice, sports drinks, apple juice, and facial wash\",\"I went grocery shopping with Emily, Carter. I bought some apples, soda, guava juice, sports drinks, apple juice, and facial wash\"\n9681,2012/11/08,I did running on 2012/11/08.,I did running on 2012/11/08.\n9682,2012/11/08,\"I had pancakes for breakfast with Kayden, Carter, Emily\",\"I had pancakes for breakfast with Kayden, Carter, Emily\"\n9683,2012/11/08,\"I had lunch with Kayden, Andrew, Carter. I ate fish and chips.\",\"I had lunch with Kayden, Andrew, Carter. I ate fish and chips.\"\n9684,2012/11/08,I had dinner. I ate steak.,I had dinner. I ate steak.\n9685,2012/11/08,I spent 21 talking to Avery on various topics in the early afternoon.,I spent 21 talking to Avery on various topics in the early afternoon.\n9686,2012/11/08,\"I spent 14 talking to Layla, Nora on various topics in the early afternoon.\",\"I spent 14 talking to Layla, Nora on various topics in the early afternoon.\"\n9687,2012/11/08,\"I spent 10 talking to Layla, Nevaeh, Eva, Kinsley on various topics in the late afternoon.\",\"I spent 10 talking to Layla, Nevaeh, Eva, Kinsley on various topics in the late afternoon.\"\n9688,2012/11/08,I spent 9 talking to Rylee on various topics in the morning.,I spent 9 talking to Rylee on various topics in the morning.\n9689,2012/11/08,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n9690,2012/11/08,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n9691,2012/11/09,I did hiking on 2012/11/09.,I did hiking on 2012/11/09.\n9692,2012/11/09,\"I had cereals for breakfast with Carter, Emily\",\"I had cereals for breakfast with Carter, Emily\"\n9693,2012/11/09,I ate indian food for lunch.,I ate indian food for lunch.\n9694,2012/11/09,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n9695,2012/11/09,\"I spent 46 talking to Layla, Lydia, Hazel on various topics late in the evening.\",\"I spent 46 talking to Layla, Lydia, Hazel on various topics late in the evening.\"\n9696,2012/11/09,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n9697,2012/11/09,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n9698,2012/11/10,\"On 2012/11/10, I took Alexander on a date to a coffee Shop\",\"On 2012/11/10, I took Alexander on a date to a coffee Shop\"\n9699,2012/11/10,I did HIIT on 2012/11/10.,I did HIIT on 2012/11/10.\n9700,2012/11/10,\"I had peanut-butter-jam for breakfast with Carter, Kayden, Emily\",\"I had peanut-butter-jam for breakfast with Carter, Kayden, Emily\"\n9701,2012/11/10,I prepare pasta for lunch.,I prepare pasta for lunch.\n9702,2012/11/10,I had tacos for dinner with Willow,I had tacos for dinner with Willow\n9703,2012/11/10,\"I talked to Piper, Eva for 53 minutes in the early afternoon.\",\"I talked to Piper, Eva for 53 minutes in the early afternoon.\"\n9704,2012/11/10,I spent 22 talking to Olivia on various topics during lunch hours.,I spent 22 talking to Olivia on various topics during lunch hours.\n9705,2012/11/10,I talked to Nevaeh for 50 minutes late in the evening.,I talked to Nevaeh for 50 minutes late in the evening.\n9706,2012/11/10,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n9707,2012/11/10,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n9708,2012/11/11,I did HIIT on 2012/11/11.,I did HIIT on 2012/11/11.\n9709,2012/11/11,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n9710,2012/11/11,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n9711,2012/11/11,\"I had indian food for dinner with Carter, Emily, Kayden, Andrew\",\"I had indian food for dinner with Carter, Emily, Kayden, Andrew\"\n9712,2012/11/11,\"I talked to Nora, Hazel for 26 minutes in the morning.\",\"I talked to Nora, Hazel for 26 minutes in the morning.\"\n9713,2012/11/11,I talked to Rylee for 54 minutes in the early afternoon.,I talked to Rylee for 54 minutes in the early afternoon.\n9714,2012/11/11,\"I talked to Eva, Lydia, Rylee, Nora for 41 minutes during lunch hours.\",\"I talked to Eva, Lydia, Rylee, Nora for 41 minutes during lunch hours.\"\n9715,2012/11/11,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n9716,2012/11/11,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n9717,2012/11/12,I did hiking on 2012/11/12.,I did hiking on 2012/11/12.\n9718,2012/11/12,\"I had cereals for breakfast with Benjamin, Willow, Jackson\",\"I had cereals for breakfast with Benjamin, Willow, Jackson\"\n9719,2012/11/12,I ate tacos for lunch.,I ate tacos for lunch.\n9720,2012/11/12,I ate chinese food for dinner.,I ate chinese food for dinner.\n9721,2012/11/12,I talked to Lydia for 13 minutes in the morning.,I talked to Lydia for 13 minutes in the morning.\n9722,2012/11/12,\"I spent 24 talking to Nora, Avery on various topics in the morning.\",\"I spent 24 talking to Nora, Avery on various topics in the morning.\"\n9723,2012/11/12,I talked to Kinsley for 33 minutes in the late afternoon.,I talked to Kinsley for 33 minutes in the late afternoon.\n9724,2012/11/12,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n9725,2012/11/12,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n9726,2012/11/13,I did weight lifting on 2012/11/13.,I did weight lifting on 2012/11/13.\n9727,2012/11/13,I ate cereals for breakfast.,I ate cereals for breakfast.\n9728,2012/11/13,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n9729,2012/11/13,I prepare sushi for dinner.,I prepare sushi for dinner.\n9730,2012/11/13,\"I talked to Rylee, Eva, Claire, Hazel for 42 minutes during lunch hours.\",\"I talked to Rylee, Eva, Claire, Hazel for 42 minutes during lunch hours.\"\n9731,2012/11/13,\"I talked to Kinsley, Olivia, Layla for 20 minutes during lunch hours.\",\"I talked to Kinsley, Olivia, Layla for 20 minutes during lunch hours.\"\n9732,2012/11/13,I spent 48 talking to Piper on various topics late in the evening.,I spent 48 talking to Piper on various topics late in the evening.\n9733,2012/11/13,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n9734,2012/11/13,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n9735,2012/11/14,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n9736,2012/11/14,I prepare pasta for lunch.,I prepare pasta for lunch.\n9737,2012/11/14,I had steak for dinner with Andrew,I had steak for dinner with Andrew\n9738,2012/11/14,\"I talked to Kinsley, Eva, Rylee for 39 minutes in the morning.\",\"I talked to Kinsley, Eva, Rylee for 39 minutes in the morning.\"\n9739,2012/11/14,\"I spent 14 talking to Lydia, Nevaeh, Hazel, Eva on various topics in the late afternoon.\",\"I spent 14 talking to Lydia, Nevaeh, Hazel, Eva on various topics in the late afternoon.\"\n9740,2012/11/14,\"I talked to Piper, Avery for 23 minutes during lunch hours.\",\"I talked to Piper, Avery for 23 minutes during lunch hours.\"\n9741,2012/11/14,I talked to Lydia for 24 minutes late in the evening.,I talked to Lydia for 24 minutes late in the evening.\n9742,2012/11/14,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n9743,2012/11/14,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n9744,2012/11/15,I spent time learning a language on 2012/11/15 with Carter.,I spent time learning a language on 2012/11/15 with Carter.\n9745,2012/11/15,I did weight lifting on 2012/11/15.,I did weight lifting on 2012/11/15.\n9746,2012/11/15,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n9747,2012/11/15,I prepare steak for lunch.,I prepare steak for lunch.\n9748,2012/11/15,I ate a burger for dinner.,I ate a burger for dinner.\n9749,2012/11/15,I talked to Olivia for 20 minutes late in the evening.,I talked to Olivia for 20 minutes late in the evening.\n9750,2012/11/15,\"I spent 21 talking to Avery, Nora on various topics in the early evening.\",\"I spent 21 talking to Avery, Nora on various topics in the early evening.\"\n9751,2012/11/15,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n9752,2012/11/15,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n9753,2012/11/16,I did HIIT on 2012/11/16.,I did HIIT on 2012/11/16.\n9754,2012/11/16,\"I had oatmeal for breakfast with Claire, Rylee, Piper, Nevaeh, Nora, Lydia, Avery\",\"I had oatmeal for breakfast with Claire, Rylee, Piper, Nevaeh, Nora, Lydia, Avery\"\n9755,2012/11/16,\"I had tacos for lunch with Rylee, Claire, Piper, Avery, Layla, Eva, Lydia, Piper, Nora, Hazel, Olivia, Kinsley\",\"I had tacos for lunch with Rylee, Claire, Piper, Avery, Layla, Eva, Lydia, Piper, Nora, Hazel, Olivia, Kinsley\"\n9756,2012/11/16,I had dinner with Carter. I ate chinese food.,I had dinner with Carter. I ate chinese food.\n9757,2012/11/16,\"I spent 13 talking to Piper, Rylee, Lydia, Claire on various topics in the early afternoon.\",\"I spent 13 talking to Piper, Rylee, Lydia, Claire on various topics in the early afternoon.\"\n9758,2012/11/16,I spent 32 talking to Olivia on various topics late in the evening.,I spent 32 talking to Olivia on various topics late in the evening.\n9759,2012/11/16,I talked to Kinsley for 12 minutes in the early afternoon.,I talked to Kinsley for 12 minutes in the early afternoon.\n9760,2012/11/16,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n9761,2012/11/16,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n9762,2012/11/17,I did hiking on 2012/11/17.,I did hiking on 2012/11/17.\n9763,2012/11/17,\"I had oatmeal for breakfast with Jackson, Avery, Benjamin, Willow\",\"I had oatmeal for breakfast with Jackson, Avery, Benjamin, Willow\"\n9764,2012/11/17,I ate chinese food for lunch.,I ate chinese food for lunch.\n9765,2012/11/17,\"I had dinner with Kayden, Andrew. I ate pasta.\",\"I had dinner with Kayden, Andrew. I ate pasta.\"\n9766,2012/11/17,I talked to Lydia for 52 minutes in the late afternoon.,I talked to Lydia for 52 minutes in the late afternoon.\n9767,2012/11/17,\"I spent 39 talking to Olivia, Hazel, Lydia, Claire on various topics late in the evening.\",\"I spent 39 talking to Olivia, Hazel, Lydia, Claire on various topics late in the evening.\"\n9768,2012/11/17,I talked to Eva for 23 minutes in the late afternoon.,I talked to Eva for 23 minutes in the late afternoon.\n9769,2012/11/17,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n9770,2012/11/17,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n9771,2012/11/18,I did hiking on 2012/11/18.,I did hiking on 2012/11/18.\n9772,2012/11/18,I had cereals for breakfast with Emily,I had cereals for breakfast with Emily\n9773,2012/11/18,\"I had lunch with Benjamin, Jackson, Willow, Avery. I ate a burger.\",\"I had lunch with Benjamin, Jackson, Willow, Avery. I ate a burger.\"\n9774,2012/11/18,\"I had indian food for dinner with Andrew, Emily, Carter\",\"I had indian food for dinner with Andrew, Emily, Carter\"\n9775,2012/11/18,\"I talked to Nora, Eva, Layla, Kinsley for 9 minutes in the late afternoon.\",\"I talked to Nora, Eva, Layla, Kinsley for 9 minutes in the late afternoon.\"\n9776,2012/11/18,I spent 19 talking to Avery on various topics in the early afternoon.,I spent 19 talking to Avery on various topics in the early afternoon.\n9777,2012/11/18,I talked to Claire for 47 minutes in the late afternoon.,I talked to Claire for 47 minutes in the late afternoon.\n9778,2012/11/18,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n9779,2012/11/18,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n9780,2012/11/19,\"I went grocery shopping. I bought some oranges, mineral water, and shampoo\",\"I went grocery shopping. I bought some oranges, mineral water, and shampoo\"\n9781,2012/11/19,\"I had breakfast with Emily, Kayden, Andrew, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Kayden, Andrew, Carter. I ate peanut-butter-jam.\"\n9782,2012/11/19,I prepare a burger for lunch.,I prepare a burger for lunch.\n9783,2012/11/19,\"I had indian food for dinner with Kayden, Emily, Andrew, Carter\",\"I had indian food for dinner with Kayden, Emily, Andrew, Carter\"\n9784,2012/11/19,\"I talked to Olivia, Nora, Kinsley, Rylee for 18 minutes during lunch hours.\",\"I talked to Olivia, Nora, Kinsley, Rylee for 18 minutes during lunch hours.\"\n9785,2012/11/19,\"I talked to Hazel, Olivia, Eva, Claire for 20 minutes in the early evening.\",\"I talked to Hazel, Olivia, Eva, Claire for 20 minutes in the early evening.\"\n9786,2012/11/19,I spent 40 talking to Piper on various topics in the early afternoon.,I spent 40 talking to Piper on various topics in the early afternoon.\n9787,2012/11/19,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n9788,2012/11/19,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n9789,2012/11/20,I really enjoyed learning a language on 2012/11/20,I really enjoyed learning a language on 2012/11/20\n9790,2012/11/20,I did weight lifting on 2012/11/20.,I did weight lifting on 2012/11/20.\n9791,2012/11/20,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n9792,2012/11/20,I had lunch. I ate steak.,I had lunch. I ate steak.\n9793,2012/11/20,\"I had sushi for dinner with Kayden, Emily\",\"I had sushi for dinner with Kayden, Emily\"\n9794,2012/11/20,\"I spent 33 talking to Hazel, Piper, Rylee, Kinsley on various topics in the early afternoon.\",\"I spent 33 talking to Hazel, Piper, Rylee, Kinsley on various topics in the early afternoon.\"\n9795,2012/11/20,\"I talked to Piper, Avery, Lydia, Nevaeh for 53 minutes during lunch hours.\",\"I talked to Piper, Avery, Lydia, Nevaeh for 53 minutes during lunch hours.\"\n9796,2012/11/20,\"I talked to Nora, Hazel for 8 minutes late in the evening.\",\"I talked to Nora, Hazel for 8 minutes late in the evening.\"\n9797,2012/11/20,\"I spent 39 talking to Olivia, Layla, Lydia on various topics late in the evening.\",\"I spent 39 talking to Olivia, Layla, Lydia on various topics late in the evening.\"\n9798,2012/11/20,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n9799,2012/11/20,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n9800,2012/11/21,I did running on 2012/11/21.,I did running on 2012/11/21.\n9801,2012/11/21,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n9802,2012/11/21,\"I had pasta for lunch with Avery, Willow\",\"I had pasta for lunch with Avery, Willow\"\n9803,2012/11/21,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n9804,2012/11/21,\"I talked to Nora, Piper, Rylee for 53 minutes in the early afternoon.\",\"I talked to Nora, Piper, Rylee for 53 minutes in the early afternoon.\"\n9805,2012/11/21,\"I spent 14 talking to Layla, Piper, Nora, Rylee on various topics in the early afternoon.\",\"I spent 14 talking to Layla, Piper, Nora, Rylee on various topics in the early afternoon.\"\n9806,2012/11/21,\"I spent 38 talking to Nora, Claire, Piper on various topics in the morning.\",\"I spent 38 talking to Nora, Claire, Piper on various topics in the morning.\"\n9807,2012/11/21,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n9808,2012/11/21,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n9809,2012/11/22,\"I went grocery shopping. I bought some peaches, bananas, mandarins, chocolate milk, apple juice, and mouth wash\",\"I went grocery shopping. I bought some peaches, bananas, mandarins, chocolate milk, apple juice, and mouth wash\"\n9810,2012/11/22,I did HIIT on 2012/11/22.,I did HIIT on 2012/11/22.\n9811,2012/11/22,\"I had oatmeal for breakfast with Kayden, Carter, Andrew, Emily\",\"I had oatmeal for breakfast with Kayden, Carter, Andrew, Emily\"\n9812,2012/11/22,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n9813,2012/11/22,I ate sushi for dinner.,I ate sushi for dinner.\n9814,2012/11/22,\"I spent 42 talking to Nevaeh, Eva, Rylee, Hazel on various topics in the morning.\",\"I spent 42 talking to Nevaeh, Eva, Rylee, Hazel on various topics in the morning.\"\n9815,2012/11/22,I spent 34 talking to Claire on various topics in the late afternoon.,I spent 34 talking to Claire on various topics in the late afternoon.\n9816,2012/11/22,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n9817,2012/11/22,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n9818,2012/11/23,\"On 2012/11/23, I took Nolan on a date to a coffee Shop\",\"On 2012/11/23, I took Nolan on a date to a coffee Shop\"\n9819,2012/11/23,I did weight lifting on 2012/11/23.,I did weight lifting on 2012/11/23.\n9820,2012/11/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n9821,2012/11/23,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n9822,2012/11/23,\"I had indian food for dinner with Kayden, Emily, Carter, Andrew\",\"I had indian food for dinner with Kayden, Emily, Carter, Andrew\"\n9823,2012/11/23,\"I talked to Rylee, Eva, Kinsley, Piper for 24 minutes late in the evening.\",\"I talked to Rylee, Eva, Kinsley, Piper for 24 minutes late in the evening.\"\n9824,2012/11/23,\"I spent 15 talking to Layla, Nora, Piper on various topics in the early evening.\",\"I spent 15 talking to Layla, Nora, Piper on various topics in the early evening.\"\n9825,2012/11/23,\"I spent 47 talking to Kinsley, Nora on various topics in the early evening.\",\"I spent 47 talking to Kinsley, Nora on various topics in the early evening.\"\n9826,2012/11/23,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n9827,2012/11/23,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n9828,2012/11/24,I did swimming on 2012/11/24.,I did swimming on 2012/11/24.\n9829,2012/11/24,\"I had breakfast with Willow, Jackson, Benjamin, Avery. I ate oatmeal.\",\"I had breakfast with Willow, Jackson, Benjamin, Avery. I ate oatmeal.\"\n9830,2012/11/24,I prepare sushi for lunch.,I prepare sushi for lunch.\n9831,2012/11/24,I had pasta for dinner with Andrew,I had pasta for dinner with Andrew\n9832,2012/11/24,\"I spent 20 talking to Nevaeh, Layla on various topics in the morning.\",\"I spent 20 talking to Nevaeh, Layla on various topics in the morning.\"\n9833,2012/11/24,\"I talked to Eva, Nora for 38 minutes in the morning.\",\"I talked to Eva, Nora for 38 minutes in the morning.\"\n9834,2012/11/24,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n9835,2012/11/24,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n9836,2012/11/25,I did HIIT on 2012/11/25.,I did HIIT on 2012/11/25.\n9837,2012/11/25,\"I had breakfast with Piper, Hazel, Nevaeh, Eva, Avery, Layla, Nora, Rylee, Piper. I ate toast and cheese.\",\"I had breakfast with Piper, Hazel, Nevaeh, Eva, Avery, Layla, Nora, Rylee, Piper. I ate toast and cheese.\"\n9838,2012/11/25,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n9839,2012/11/25,I prepare sushi for dinner.,I prepare sushi for dinner.\n9840,2012/11/25,\"I spent 37 talking to Nevaeh, Piper, Olivia, Eva on various topics in the morning.\",\"I spent 37 talking to Nevaeh, Piper, Olivia, Eva on various topics in the morning.\"\n9841,2012/11/25,\"I spent 25 talking to Avery, Lydia on various topics in the morning.\",\"I spent 25 talking to Avery, Lydia on various topics in the morning.\"\n9842,2012/11/25,\"I talked to Lydia, Piper for 28 minutes late in the evening.\",\"I talked to Lydia, Piper for 28 minutes late in the evening.\"\n9843,2012/11/25,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n9844,2012/11/25,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n9845,2012/11/26,I did weight lifting on 2012/11/26.,I did weight lifting on 2012/11/26.\n9846,2012/11/26,\"I had breakfast with Emily, Carter, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Carter, Kayden. I ate peanut-butter-jam.\"\n9847,2012/11/26,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n9848,2012/11/26,I had indian food for dinner with Carter,I had indian food for dinner with Carter\n9849,2012/11/26,\"I talked to Layla, Nora for 23 minutes in the early afternoon.\",\"I talked to Layla, Nora for 23 minutes in the early afternoon.\"\n9850,2012/11/26,\"I spent 15 talking to Nora, Piper, Nevaeh on various topics in the morning.\",\"I spent 15 talking to Nora, Piper, Nevaeh on various topics in the morning.\"\n9851,2012/11/26,I spent 50 talking to Layla on various topics late in the evening.,I spent 50 talking to Layla on various topics late in the evening.\n9852,2012/11/26,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n9853,2012/11/26,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n9854,2012/11/27,I did weight lifting on 2012/11/27.,I did weight lifting on 2012/11/27.\n9855,2012/11/27,\"I had breakfast with Andrew, Emily. I ate oatmeal.\",\"I had breakfast with Andrew, Emily. I ate oatmeal.\"\n9856,2012/11/27,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n9857,2012/11/27,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n9858,2012/11/27,\"I spent 15 talking to Layla, Kinsley, Hazel, Lydia on various topics in the early evening.\",\"I spent 15 talking to Layla, Kinsley, Hazel, Lydia on various topics in the early evening.\"\n9859,2012/11/27,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n9860,2012/11/27,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n9861,2012/11/28,\"I had cereals for breakfast with Benjamin, Willow, Jackson, Avery\",\"I had cereals for breakfast with Benjamin, Willow, Jackson, Avery\"\n9862,2012/11/28,\"I had lunch with Kayden, Emily, Carter. I ate a burger.\",\"I had lunch with Kayden, Emily, Carter. I ate a burger.\"\n9863,2012/11/28,I prepare a burger for dinner.,I prepare a burger for dinner.\n9864,2012/11/28,\"I talked to Avery, Rylee, Lydia, Nevaeh for 38 minutes late in the evening.\",\"I talked to Avery, Rylee, Lydia, Nevaeh for 38 minutes late in the evening.\"\n9865,2012/11/28,\"I spent 10 talking to Nora, Kinsley, Olivia, Hazel on various topics in the early evening.\",\"I spent 10 talking to Nora, Kinsley, Olivia, Hazel on various topics in the early evening.\"\n9866,2012/11/28,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n9867,2012/11/28,I spent 47 minutes watching a movie on TV today.,I spent 47 minutes watching a movie on TV today.\n9868,2012/11/29,\"I went grocery shopping with Andrew. I bought some blackberries, mangos, pears, clementines, pineapple juice, chocolate milk, soda, and toilet paper, conditioner, mouthwash, shampoo\",\"I went grocery shopping with Andrew. I bought some blackberries, mangos, pears, clementines, pineapple juice, chocolate milk, soda, and toilet paper, conditioner, mouthwash, shampoo\"\n9869,2012/11/29,I did weight lifting on 2012/11/29.,I did weight lifting on 2012/11/29.\n9870,2012/11/29,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n9871,2012/11/29,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n9872,2012/11/29,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n9873,2012/11/29,\"I talked to Nevaeh, Eva, Lydia, Avery for 7 minutes in the early evening.\",\"I talked to Nevaeh, Eva, Lydia, Avery for 7 minutes in the early evening.\"\n9874,2012/11/29,\"I talked to Rylee, Kinsley for 27 minutes in the early evening.\",\"I talked to Rylee, Kinsley for 27 minutes in the early evening.\"\n9875,2012/11/29,\"I talked to Hazel, Claire for 30 minutes during lunch hours.\",\"I talked to Hazel, Claire for 30 minutes during lunch hours.\"\n9876,2012/11/29,I talked to Kinsley for 18 minutes in the early evening.,I talked to Kinsley for 18 minutes in the early evening.\n9877,2012/11/29,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n9878,2012/11/29,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n9879,2012/11/30,I did HIIT on 2012/11/30.,I did HIIT on 2012/11/30.\n9880,2012/11/30,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n9881,2012/11/30,I had lunch. I ate steak.,I had lunch. I ate steak.\n9882,2012/11/30,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n9883,2012/11/30,\"I spent 30 talking to Avery, Nora, Lydia on various topics during lunch hours.\",\"I spent 30 talking to Avery, Nora, Lydia on various topics during lunch hours.\"\n9884,2012/11/30,I spent 22 talking to Piper on various topics in the early afternoon.,I spent 22 talking to Piper on various topics in the early afternoon.\n9885,2012/11/30,\"I spent 15 talking to Rylee, Piper, Lydia, Piper on various topics in the early evening.\",\"I spent 15 talking to Rylee, Piper, Lydia, Piper on various topics in the early evening.\"\n9886,2012/11/30,\"I talked to Rylee, Olivia, Piper for 11 minutes in the morning.\",\"I talked to Rylee, Olivia, Piper for 11 minutes in the morning.\"\n9887,2012/11/30,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n9888,2012/11/30,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n9889,2012/12/01,\"On 2012/12/01, I took Leah on a date to a coffee Shop\",\"On 2012/12/01, I took Leah on a date to a coffee Shop\"\n9890,2012/12/01,I did hiking on 2012/12/01.,I did hiking on 2012/12/01.\n9891,2012/12/01,I had pancakes for breakfast with Olivia,I had pancakes for breakfast with Olivia\n9892,2012/12/01,\"I had sushi for lunch with Andrew, Carter, Kayden, Emily\",\"I had sushi for lunch with Andrew, Carter, Kayden, Emily\"\n9893,2012/12/01,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n9894,2012/12/01,\"I spent 40 talking to Piper, Piper, Layla on various topics in the early evening.\",\"I spent 40 talking to Piper, Piper, Layla on various topics in the early evening.\"\n9895,2012/12/01,\"I spent 20 talking to Claire, Piper, Kinsley, Nevaeh on various topics late in the evening.\",\"I spent 20 talking to Claire, Piper, Kinsley, Nevaeh on various topics late in the evening.\"\n9896,2012/12/01,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n9897,2012/12/01,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n9898,2012/12/02,I went on a date with Silas on 2012/12/02 at a boba shop,I went on a date with Silas on 2012/12/02 at a boba shop\n9899,2012/12/02,I did biking on 2012/12/02.,I did biking on 2012/12/02.\n9900,2012/12/02,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n9901,2012/12/02,I had lunch. I ate steak.,I had lunch. I ate steak.\n9902,2012/12/02,I prepare indian food for dinner.,I prepare indian food for dinner.\n9903,2012/12/02,\"I talked to Eva, Nevaeh, Hazel, Avery for 20 minutes in the early evening.\",\"I talked to Eva, Nevaeh, Hazel, Avery for 20 minutes in the early evening.\"\n9904,2012/12/02,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n9905,2012/12/02,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n9906,2012/12/03,I did hiking on 2012/12/03.,I did hiking on 2012/12/03.\n9907,2012/12/03,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n9908,2012/12/03,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n9909,2012/12/03,\"I had dinner with Lydia, Nora, Piper, Nevaeh. I ate pasta.\",\"I had dinner with Lydia, Nora, Piper, Nevaeh. I ate pasta.\"\n9910,2012/12/03,\"I talked to Kinsley, Layla, Rylee for 43 minutes in the morning.\",\"I talked to Kinsley, Layla, Rylee for 43 minutes in the morning.\"\n9911,2012/12/03,\"I talked to Nora, Kinsley, Avery for 6 minutes in the morning.\",\"I talked to Nora, Kinsley, Avery for 6 minutes in the morning.\"\n9912,2012/12/03,\"I talked to Layla, Nevaeh, Rylee for 25 minutes in the late afternoon.\",\"I talked to Layla, Nevaeh, Rylee for 25 minutes in the late afternoon.\"\n9913,2012/12/03,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n9914,2012/12/03,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n9915,2012/12/04,\"I had peanut-butter-jam for breakfast with Piper, Hazel, Eva, Lydia, Piper, Avery, Olivia, Claire, Kinsley, Nevaeh\",\"I had peanut-butter-jam for breakfast with Piper, Hazel, Eva, Lydia, Piper, Avery, Olivia, Claire, Kinsley, Nevaeh\"\n9916,2012/12/04,I prepare indian food for lunch.,I prepare indian food for lunch.\n9917,2012/12/04,\"I had dinner with Andrew, Kayden, Carter, Emily. I ate indian food.\",\"I had dinner with Andrew, Kayden, Carter, Emily. I ate indian food.\"\n9918,2012/12/04,I spent 38 talking to Avery on various topics late in the evening.,I spent 38 talking to Avery on various topics late in the evening.\n9919,2012/12/04,\"I talked to Lydia, Layla, Hazel, Nevaeh for 17 minutes in the morning.\",\"I talked to Lydia, Layla, Hazel, Nevaeh for 17 minutes in the morning.\"\n9920,2012/12/04,\"I talked to Avery, Piper for 26 minutes in the late afternoon.\",\"I talked to Avery, Piper for 26 minutes in the late afternoon.\"\n9921,2012/12/04,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n9922,2012/12/04,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n9923,2012/12/05,I went for an annual physical checkup on 2012/12/05 at the hospital.,I went for an annual physical checkup on 2012/12/05 at the hospital.\n9924,2012/12/05,I went on a date with Hannah on 2012/12/05 at a restaurant,I went on a date with Hannah on 2012/12/05 at a restaurant\n9925,2012/12/05,I spent some time meditation on 2012/12/05.,I spent some time meditation on 2012/12/05.\n9926,2012/12/05,I did biking on 2012/12/05.,I did biking on 2012/12/05.\n9927,2012/12/05,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n9928,2012/12/05,I had steak for lunch with Kayden,I had steak for lunch with Kayden\n9929,2012/12/05,I ate steak for dinner.,I ate steak for dinner.\n9930,2012/12/05,\"I talked to Hazel, Nora for 40 minutes in the early evening.\",\"I talked to Hazel, Nora for 40 minutes in the early evening.\"\n9931,2012/12/05,\"I spent 55 talking to Piper, Avery, Nora, Piper on various topics in the early afternoon.\",\"I spent 55 talking to Piper, Avery, Nora, Piper on various topics in the early afternoon.\"\n9932,2012/12/05,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n9933,2012/12/05,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n9934,2012/12/06,I did hiking on 2012/12/06.,I did hiking on 2012/12/06.\n9935,2012/12/06,\"I had pancakes for breakfast with Willow, Jackson, Avery\",\"I had pancakes for breakfast with Willow, Jackson, Avery\"\n9936,2012/12/06,I had a burger for lunch with Emily,I had a burger for lunch with Emily\n9937,2012/12/06,\"I had indian food for dinner with Avery, Hazel, Piper, Kinsley, Lydia, Nevaeh, Layla, Rylee, Claire, Piper\",\"I had indian food for dinner with Avery, Hazel, Piper, Kinsley, Lydia, Nevaeh, Layla, Rylee, Claire, Piper\"\n9938,2012/12/06,\"I spent 55 talking to Layla, Eva, Piper, Rylee on various topics in the late afternoon.\",\"I spent 55 talking to Layla, Eva, Piper, Rylee on various topics in the late afternoon.\"\n9939,2012/12/06,\"I talked to Rylee, Hazel for 21 minutes in the early evening.\",\"I talked to Rylee, Hazel for 21 minutes in the early evening.\"\n9940,2012/12/06,\"I spent 30 talking to Layla, Rylee, Piper, Hazel on various topics in the early afternoon.\",\"I spent 30 talking to Layla, Rylee, Piper, Hazel on various topics in the early afternoon.\"\n9941,2012/12/06,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n9942,2012/12/06,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n9943,2012/12/07,I did swimming on 2012/12/07.,I did swimming on 2012/12/07.\n9944,2012/12/07,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n9945,2012/12/07,I had lunch. I ate steak.,I had lunch. I ate steak.\n9946,2012/12/07,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n9947,2012/12/07,\"I talked to Layla, Claire for 41 minutes in the late afternoon.\",\"I talked to Layla, Claire for 41 minutes in the late afternoon.\"\n9948,2012/12/07,I talked to Nevaeh for 52 minutes in the morning.,I talked to Nevaeh for 52 minutes in the morning.\n9949,2012/12/07,\"I talked to Rylee, Eva, Nevaeh, Lydia for 33 minutes late in the evening.\",\"I talked to Rylee, Eva, Nevaeh, Lydia for 33 minutes late in the evening.\"\n9950,2012/12/07,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n9951,2012/12/07,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n9952,2012/12/08,\"I went grocery shopping. I bought some apricots, nectarines, tea, and mouth wash, body lotion, shampoo\",\"I went grocery shopping. I bought some apricots, nectarines, tea, and mouth wash, body lotion, shampoo\"\n9953,2012/12/08,I did HIIT on 2012/12/08.,I did HIIT on 2012/12/08.\n9954,2012/12/08,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n9955,2012/12/08,\"I had sushi for lunch with Benjamin, Avery, Willow, Jackson\",\"I had sushi for lunch with Benjamin, Avery, Willow, Jackson\"\n9956,2012/12/08,I had chinese food for dinner with Layla,I had chinese food for dinner with Layla\n9957,2012/12/08,\"I spent 46 talking to Piper, Olivia, Hazel on various topics late in the evening.\",\"I spent 46 talking to Piper, Olivia, Hazel on various topics late in the evening.\"\n9958,2012/12/08,\"I talked to Olivia, Piper, Avery for 55 minutes in the late afternoon.\",\"I talked to Olivia, Piper, Avery for 55 minutes in the late afternoon.\"\n9959,2012/12/08,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n9960,2012/12/08,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n9961,2012/12/09,I did running on 2012/12/09.,I did running on 2012/12/09.\n9962,2012/12/09,\"I had breakfast with Kayden, Carter, Emily, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Carter, Emily, Andrew. I ate peanut-butter-jam.\"\n9963,2012/12/09,\"I had lunch with Andrew, Kayden, Emily, Carter. I ate indian food.\",\"I had lunch with Andrew, Kayden, Emily, Carter. I ate indian food.\"\n9964,2012/12/09,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n9965,2012/12/09,\"I talked to Hazel, Nora, Layla for 52 minutes in the early evening.\",\"I talked to Hazel, Nora, Layla for 52 minutes in the early evening.\"\n9966,2012/12/09,\"I talked to Olivia, Piper, Piper for 33 minutes during lunch hours.\",\"I talked to Olivia, Piper, Piper for 33 minutes during lunch hours.\"\n9967,2012/12/09,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n9968,2012/12/09,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n9969,2012/12/10,I did HIIT on 2012/12/10.,I did HIIT on 2012/12/10.\n9970,2012/12/10,\"I had breakfast with Andrew, Kayden, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Kayden, Carter. I ate peanut-butter-jam.\"\n9971,2012/12/10,I ate steak for lunch.,I ate steak for lunch.\n9972,2012/12/10,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n9973,2012/12/10,\"I talked to Piper, Olivia for 44 minutes late in the evening.\",\"I talked to Piper, Olivia for 44 minutes late in the evening.\"\n9974,2012/12/10,\"I spent 40 talking to Piper, Olivia on various topics during lunch hours.\",\"I spent 40 talking to Piper, Olivia on various topics during lunch hours.\"\n9975,2012/12/10,\"I spent 49 talking to Lydia, Avery, Claire, Piper on various topics during lunch hours.\",\"I spent 49 talking to Lydia, Avery, Claire, Piper on various topics during lunch hours.\"\n9976,2012/12/10,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n9977,2012/12/10,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n9978,2012/12/11,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n9979,2012/12/11,\"I had lunch with Kayden, Andrew. I ate sandwich.\",\"I had lunch with Kayden, Andrew. I ate sandwich.\"\n9980,2012/12/11,I ate tacos for dinner.,I ate tacos for dinner.\n9981,2012/12/11,\"I talked to Kinsley, Eva for 27 minutes in the late afternoon.\",\"I talked to Kinsley, Eva for 27 minutes in the late afternoon.\"\n9982,2012/12/11,\"I spent 39 talking to Piper, Piper, Olivia on various topics in the morning.\",\"I spent 39 talking to Piper, Piper, Olivia on various topics in the morning.\"\n9983,2012/12/11,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n9984,2012/12/11,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n9985,2012/12/12,I went on a date with Josiah on 2012/12/12 at a park,I went on a date with Josiah on 2012/12/12 at a park\n9986,2012/12/12,I did swimming on 2012/12/12.,I did swimming on 2012/12/12.\n9987,2012/12/12,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n9988,2012/12/12,\"I had pasta for lunch with Nora, Nevaeh, Piper, Rylee, Avery, Layla, Olivia, Kinsley\",\"I had pasta for lunch with Nora, Nevaeh, Piper, Rylee, Avery, Layla, Olivia, Kinsley\"\n9989,2012/12/12,I ate steak for dinner.,I ate steak for dinner.\n9990,2012/12/12,\"I spent 54 talking to Hazel, Piper, Kinsley, Piper on various topics in the early evening.\",\"I spent 54 talking to Hazel, Piper, Kinsley, Piper on various topics in the early evening.\"\n9991,2012/12/12,\"I spent 11 talking to Kinsley, Nora, Layla, Piper on various topics in the early evening.\",\"I spent 11 talking to Kinsley, Nora, Layla, Piper on various topics in the early evening.\"\n9992,2012/12/12,\"I spent 31 talking to Hazel, Layla on various topics during lunch hours.\",\"I spent 31 talking to Hazel, Layla on various topics during lunch hours.\"\n9993,2012/12/12,\"I talked to Eva, Piper for 28 minutes in the morning.\",\"I talked to Eva, Piper for 28 minutes in the morning.\"\n9994,2012/12/12,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n9995,2012/12/12,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n9996,2012/12/13,\"I bought some blackberries, bananas, pineapples, apricots, soda, chocolate milk, coffee, mineral water, body lotion, shampoo, conditioner from the grocery store. I saw Benjamin at the grocery store.\",\"I bought some blackberries, bananas, pineapples, apricots, soda, chocolate milk, coffee, mineral water, body lotion, shampoo, conditioner from the grocery store. I saw Benjamin at the grocery store.\"\n9997,2012/12/13,I did HIIT on 2012/12/13.,I did HIIT on 2012/12/13.\n9998,2012/12/13,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n9999,2012/12/13,I prepare a burger for lunch.,I prepare a burger for lunch.\n10000,2012/12/13,I ate steak for dinner.,I ate steak for dinner.\n10001,2012/12/13,\"I talked to Eva, Nora, Avery, Nevaeh for 33 minutes in the late afternoon.\",\"I talked to Eva, Nora, Avery, Nevaeh for 33 minutes in the late afternoon.\"\n10002,2012/12/13,I spent 7 talking to Rylee on various topics in the early evening.,I spent 7 talking to Rylee on various topics in the early evening.\n10003,2012/12/13,\"I spent 14 talking to Piper, Nora, Nevaeh, Hazel on various topics in the morning.\",\"I spent 14 talking to Piper, Nora, Nevaeh, Hazel on various topics in the morning.\"\n10004,2012/12/13,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n10005,2012/12/13,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n10006,2012/12/14,\"I spent time meditation on 2012/12/14 with Emily, Andrew, Carter.\",\"I spent time meditation on 2012/12/14 with Emily, Andrew, Carter.\"\n10007,2012/12/14,I did swimming on 2012/12/14.,I did swimming on 2012/12/14.\n10008,2012/12/14,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n10009,2012/12/14,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n10010,2012/12/14,I ate sushi for dinner.,I ate sushi for dinner.\n10011,2012/12/14,\"I spent 36 talking to Nora, Piper, Eva on various topics in the late afternoon.\",\"I spent 36 talking to Nora, Piper, Eva on various topics in the late afternoon.\"\n10012,2012/12/14,\"I talked to Lydia, Piper, Nora, Layla for 20 minutes during lunch hours.\",\"I talked to Lydia, Piper, Nora, Layla for 20 minutes during lunch hours.\"\n10013,2012/12/14,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n10014,2012/12/14,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n10015,2012/12/15,\"I had toast and cheese for breakfast with Avery, Jackson, Benjamin\",\"I had toast and cheese for breakfast with Avery, Jackson, Benjamin\"\n10016,2012/12/15,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n10017,2012/12/15,\"I had dinner with Benjamin, Willow, Jackson. I ate chinese food.\",\"I had dinner with Benjamin, Willow, Jackson. I ate chinese food.\"\n10018,2012/12/15,\"I talked to Hazel, Piper, Rylee, Olivia for 53 minutes during lunch hours.\",\"I talked to Hazel, Piper, Rylee, Olivia for 53 minutes during lunch hours.\"\n10019,2012/12/15,\"I talked to Nora, Piper, Hazel, Rylee for 7 minutes in the early afternoon.\",\"I talked to Nora, Piper, Hazel, Rylee for 7 minutes in the early afternoon.\"\n10020,2012/12/15,\"I spent 41 talking to Hazel, Avery, Eva, Olivia on various topics in the early afternoon.\",\"I spent 41 talking to Hazel, Avery, Eva, Olivia on various topics in the early afternoon.\"\n10021,2012/12/15,\"I spent 37 talking to Olivia, Piper, Rylee on various topics in the morning.\",\"I spent 37 talking to Olivia, Piper, Rylee on various topics in the morning.\"\n10022,2012/12/15,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n10023,2012/12/15,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n10024,2012/12/16,I did swimming on 2012/12/16.,I did swimming on 2012/12/16.\n10025,2012/12/16,I had breakfast with Carter. I ate oatmeal.,I had breakfast with Carter. I ate oatmeal.\n10026,2012/12/16,I had lunch with Kayden. I ate fish and chips.,I had lunch with Kayden. I ate fish and chips.\n10027,2012/12/16,I had dinner with Emily. I ate chinese food.,I had dinner with Emily. I ate chinese food.\n10028,2012/12/16,\"I spent 15 talking to Nevaeh, Piper, Olivia on various topics in the morning.\",\"I spent 15 talking to Nevaeh, Piper, Olivia on various topics in the morning.\"\n10029,2012/12/16,\"I talked to Layla, Piper, Rylee, Eva for 43 minutes in the morning.\",\"I talked to Layla, Piper, Rylee, Eva for 43 minutes in the morning.\"\n10030,2012/12/16,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n10031,2012/12/16,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n10032,2012/12/17,\"On 2012/12/17, I took Elias on a date to a boba shop\",\"On 2012/12/17, I took Elias on a date to a boba shop\"\n10033,2012/12/17,I did HIIT on 2012/12/17.,I did HIIT on 2012/12/17.\n10034,2012/12/17,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n10035,2012/12/17,I prepare steak for lunch.,I prepare steak for lunch.\n10036,2012/12/17,I prepare sushi for dinner.,I prepare sushi for dinner.\n10037,2012/12/17,\"I talked to Eva, Olivia, Layla, Piper for 25 minutes in the late afternoon.\",\"I talked to Eva, Olivia, Layla, Piper for 25 minutes in the late afternoon.\"\n10038,2012/12/17,\"I talked to Nevaeh, Claire for 10 minutes in the early afternoon.\",\"I talked to Nevaeh, Claire for 10 minutes in the early afternoon.\"\n10039,2012/12/17,\"I spent 45 talking to Hazel, Kinsley on various topics in the early evening.\",\"I spent 45 talking to Hazel, Kinsley on various topics in the early evening.\"\n10040,2012/12/17,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n10041,2012/12/17,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n10042,2012/12/18,\"I went grocery shopping. I bought some mangos, guava juice, pineapple juice, and facial wash, shampoo, shaving cream, mouthwash\",\"I went grocery shopping. I bought some mangos, guava juice, pineapple juice, and facial wash, shampoo, shaving cream, mouthwash\"\n10043,2012/12/18,I did hiking on 2012/12/18.,I did hiking on 2012/12/18.\n10044,2012/12/18,\"I had breakfast with Andrew, Emily, Kayden. I ate oatmeal.\",\"I had breakfast with Andrew, Emily, Kayden. I ate oatmeal.\"\n10045,2012/12/18,\"I had lunch with Hazel, Eva, Piper, Avery, Nevaeh, Rylee, Claire. I ate pasta.\",\"I had lunch with Hazel, Eva, Piper, Avery, Nevaeh, Rylee, Claire. I ate pasta.\"\n10046,2012/12/18,\"I had tacos for dinner with Emily, Kayden, Andrew, Carter\",\"I had tacos for dinner with Emily, Kayden, Andrew, Carter\"\n10047,2012/12/18,I talked to Hazel for 23 minutes in the late afternoon.,I talked to Hazel for 23 minutes in the late afternoon.\n10048,2012/12/18,\"I spent 21 talking to Hazel, Layla, Piper, Eva on various topics in the early afternoon.\",\"I spent 21 talking to Hazel, Layla, Piper, Eva on various topics in the early afternoon.\"\n10049,2012/12/18,I talked to Olivia for 23 minutes in the morning.,I talked to Olivia for 23 minutes in the morning.\n10050,2012/12/18,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n10051,2012/12/18,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n10052,2012/12/19,I did biking on 2012/12/19.,I did biking on 2012/12/19.\n10053,2012/12/19,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n10054,2012/12/19,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n10055,2012/12/19,\"I had sandwich for dinner with Layla, Lydia, Nevaeh, Nora, Eva\",\"I had sandwich for dinner with Layla, Lydia, Nevaeh, Nora, Eva\"\n10056,2012/12/19,\"I talked to Hazel, Lydia, Nevaeh, Layla for 43 minutes late in the evening.\",\"I talked to Hazel, Lydia, Nevaeh, Layla for 43 minutes late in the evening.\"\n10057,2012/12/19,\"I spent 25 talking to Lydia, Piper, Layla, Avery on various topics in the late afternoon.\",\"I spent 25 talking to Lydia, Piper, Layla, Avery on various topics in the late afternoon.\"\n10058,2012/12/19,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n10059,2012/12/19,I watched a movie for 12 minutes on TV today.,I watched a movie for 12 minutes on TV today.\n10060,2012/12/20,I did biking on 2012/12/20.,I did biking on 2012/12/20.\n10061,2012/12/20,\"I had toast and cheese for breakfast with Willow, Avery\",\"I had toast and cheese for breakfast with Willow, Avery\"\n10062,2012/12/20,\"I had lunch with Hazel, Rylee, Piper, Kinsley, Layla, Piper, Nevaeh, Nora, Avery, Eva, Lydia, Olivia, Claire. I ate fish and chips.\",\"I had lunch with Hazel, Rylee, Piper, Kinsley, Layla, Piper, Nevaeh, Nora, Avery, Eva, Lydia, Olivia, Claire. I ate fish and chips.\"\n10063,2012/12/20,I ate indian food for dinner.,I ate indian food for dinner.\n10064,2012/12/20,\"I talked to Nora, Layla, Piper for 55 minutes in the morning.\",\"I talked to Nora, Layla, Piper for 55 minutes in the morning.\"\n10065,2012/12/20,\"I talked to Avery, Claire for 34 minutes in the early afternoon.\",\"I talked to Avery, Claire for 34 minutes in the early afternoon.\"\n10066,2012/12/20,\"I spent 13 talking to Eva, Olivia, Avery on various topics in the late afternoon.\",\"I spent 13 talking to Eva, Olivia, Avery on various topics in the late afternoon.\"\n10067,2012/12/20,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n10068,2012/12/20,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n10069,2012/12/21,I went on a date with Jackson on 2012/12/21 at a park,I went on a date with Jackson on 2012/12/21 at a park\n10070,2012/12/21,\"I went grocery shopping. I bought some watermelons, chocolate milk, tea, and toothbrush, toilet paper, shampoo\",\"I went grocery shopping. I bought some watermelons, chocolate milk, tea, and toothbrush, toilet paper, shampoo\"\n10071,2012/12/21,I did biking on 2012/12/21.,I did biking on 2012/12/21.\n10072,2012/12/21,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n10073,2012/12/21,\"I had steak for lunch with Willow, Avery, Jackson, Benjamin\",\"I had steak for lunch with Willow, Avery, Jackson, Benjamin\"\n10074,2012/12/21,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n10075,2012/12/21,\"I spent 24 talking to Piper, Claire, Nora, Nevaeh on various topics late in the evening.\",\"I spent 24 talking to Piper, Claire, Nora, Nevaeh on various topics late in the evening.\"\n10076,2012/12/21,\"I spent 53 talking to Claire, Piper on various topics late in the evening.\",\"I spent 53 talking to Claire, Piper on various topics late in the evening.\"\n10077,2012/12/21,\"I talked to Eva, Layla for 7 minutes in the morning.\",\"I talked to Eva, Layla for 7 minutes in the morning.\"\n10078,2012/12/21,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n10079,2012/12/21,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n10080,2012/12/22,I spent time learning a language on 2012/12/22 with Emily.,I spent time learning a language on 2012/12/22 with Emily.\n10081,2012/12/22,I did hiking on 2012/12/22.,I did hiking on 2012/12/22.\n10082,2012/12/22,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n10083,2012/12/22,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n10084,2012/12/22,I had dinner with Emily. I ate fish and chips.,I had dinner with Emily. I ate fish and chips.\n10085,2012/12/22,\"I spent 24 talking to Nevaeh, Lydia, Rylee, Kinsley on various topics in the morning.\",\"I spent 24 talking to Nevaeh, Lydia, Rylee, Kinsley on various topics in the morning.\"\n10086,2012/12/22,\"I spent 37 talking to Nevaeh, Nora, Layla, Piper on various topics in the morning.\",\"I spent 37 talking to Nevaeh, Nora, Layla, Piper on various topics in the morning.\"\n10087,2012/12/22,\"I talked to Nevaeh, Lydia, Olivia, Claire for 27 minutes during lunch hours.\",\"I talked to Nevaeh, Lydia, Olivia, Claire for 27 minutes during lunch hours.\"\n10088,2012/12/22,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n10089,2012/12/22,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n10090,2012/12/23,I did HIIT on 2012/12/23.,I did HIIT on 2012/12/23.\n10091,2012/12/23,\"I had toast and cheese for breakfast with Olivia, Hazel, Nevaeh, Nora, Claire, Lydia, Eva, Rylee, Kinsley, Piper\",\"I had toast and cheese for breakfast with Olivia, Hazel, Nevaeh, Nora, Claire, Lydia, Eva, Rylee, Kinsley, Piper\"\n10092,2012/12/23,I prepare sushi for lunch.,I prepare sushi for lunch.\n10093,2012/12/23,\"I had dinner with Avery, Jackson, Willow, Benjamin. I ate fish and chips.\",\"I had dinner with Avery, Jackson, Willow, Benjamin. I ate fish and chips.\"\n10094,2012/12/23,I talked to Rylee for 38 minutes in the early afternoon.,I talked to Rylee for 38 minutes in the early afternoon.\n10095,2012/12/23,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n10096,2012/12/23,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n10097,2012/12/24,\"I bought some clementines, blueberries, raspberries, mandarins, tea, mineral water, mango juice, pineapple juice, shaving cream, toothpaste, facial wash, mouth wash from the grocery store. I saw Kayden, Emily at the grocery store.\",\"I bought some clementines, blueberries, raspberries, mandarins, tea, mineral water, mango juice, pineapple juice, shaving cream, toothpaste, facial wash, mouth wash from the grocery store. I saw Kayden, Emily at the grocery store.\"\n10098,2012/12/24,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n10099,2012/12/24,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n10100,2012/12/24,I had dinner. I ate steak.,I had dinner. I ate steak.\n10101,2012/12/24,\"I talked to Piper, Nevaeh, Hazel, Nora for 33 minutes in the morning.\",\"I talked to Piper, Nevaeh, Hazel, Nora for 33 minutes in the morning.\"\n10102,2012/12/24,\"I spent 9 talking to Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 9 talking to Piper, Nevaeh on various topics in the late afternoon.\"\n10103,2012/12/24,\"I spent 28 talking to Olivia, Nevaeh, Claire, Avery on various topics in the early evening.\",\"I spent 28 talking to Olivia, Nevaeh, Claire, Avery on various topics in the early evening.\"\n10104,2012/12/24,I talked to Claire for 43 minutes in the early afternoon.,I talked to Claire for 43 minutes in the early afternoon.\n10105,2012/12/24,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n10106,2012/12/24,I spent 27 minutes watching a movie on TV today.,I spent 27 minutes watching a movie on TV today.\n10107,2012/12/25,I did running on 2012/12/25.,I did running on 2012/12/25.\n10108,2012/12/25,I ate cereals for breakfast.,I ate cereals for breakfast.\n10109,2012/12/25,\"I had fish and chips for lunch with Emily, Andrew, Carter, Kayden\",\"I had fish and chips for lunch with Emily, Andrew, Carter, Kayden\"\n10110,2012/12/25,\"I had dinner with Kayden, Carter, Andrew. I ate steak.\",\"I had dinner with Kayden, Carter, Andrew. I ate steak.\"\n10111,2012/12/25,I talked to Layla for 49 minutes late in the evening.,I talked to Layla for 49 minutes late in the evening.\n10112,2012/12/25,\"I spent 12 talking to Piper, Piper, Kinsley on various topics during lunch hours.\",\"I spent 12 talking to Piper, Piper, Kinsley on various topics during lunch hours.\"\n10113,2012/12/25,\"I spent 29 talking to Rylee, Piper, Kinsley on various topics late in the evening.\",\"I spent 29 talking to Rylee, Piper, Kinsley on various topics late in the evening.\"\n10114,2012/12/25,\"I talked to Nora, Eva for 28 minutes during lunch hours.\",\"I talked to Nora, Eva for 28 minutes during lunch hours.\"\n10115,2012/12/25,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n10116,2012/12/25,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n10117,2012/12/26,I spent some time meditation on 2012/12/26.,I spent some time meditation on 2012/12/26.\n10118,2012/12/26,\"I went grocery shopping with Avery, Willow, Benjamin, Jackson. I bought some watermelons, mandarins, nectarines, orange juice, tea, guava juice, mango juice, and mouthwash\",\"I went grocery shopping with Avery, Willow, Benjamin, Jackson. I bought some watermelons, mandarins, nectarines, orange juice, tea, guava juice, mango juice, and mouthwash\"\n10119,2012/12/26,I did HIIT on 2012/12/26.,I did HIIT on 2012/12/26.\n10120,2012/12/26,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n10121,2012/12/26,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n10122,2012/12/26,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n10123,2012/12/26,\"I spent 14 talking to Lydia, Layla on various topics late in the evening.\",\"I spent 14 talking to Lydia, Layla on various topics late in the evening.\"\n10124,2012/12/26,I spent 53 talking to Piper on various topics in the late afternoon.,I spent 53 talking to Piper on various topics in the late afternoon.\n10125,2012/12/26,\"I spent 15 talking to Nora, Olivia on various topics during lunch hours.\",\"I spent 15 talking to Nora, Olivia on various topics during lunch hours.\"\n10126,2012/12/26,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n10127,2012/12/26,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n10128,2012/12/27,\"On 2012/12/27, I took Ryan on a date to a coffee Shop\",\"On 2012/12/27, I took Ryan on a date to a coffee Shop\"\n10129,2012/12/27,I did swimming on 2012/12/27.,I did swimming on 2012/12/27.\n10130,2012/12/27,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n10131,2012/12/27,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n10132,2012/12/27,I ate tacos for dinner.,I ate tacos for dinner.\n10133,2012/12/27,\"I talked to Piper, Hazel, Nevaeh for 17 minutes in the early evening.\",\"I talked to Piper, Hazel, Nevaeh for 17 minutes in the early evening.\"\n10134,2012/12/27,I talked to Layla for 20 minutes late in the evening.,I talked to Layla for 20 minutes late in the evening.\n10135,2012/12/27,\"I talked to Layla, Nora, Eva, Nevaeh for 17 minutes during lunch hours.\",\"I talked to Layla, Nora, Eva, Nevaeh for 17 minutes during lunch hours.\"\n10136,2012/12/27,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n10137,2012/12/27,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n10138,2012/12/28,I did weight lifting on 2012/12/28.,I did weight lifting on 2012/12/28.\n10139,2012/12/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n10140,2012/12/28,I ate steak for lunch.,I ate steak for lunch.\n10141,2012/12/28,\"I had steak for dinner with Emily, Andrew, Kayden, Carter\",\"I had steak for dinner with Emily, Andrew, Kayden, Carter\"\n10142,2012/12/28,I spent 23 talking to Kinsley on various topics late in the evening.,I spent 23 talking to Kinsley on various topics late in the evening.\n10143,2012/12/28,\"I spent 34 talking to Piper, Avery, Eva, Piper on various topics in the late afternoon.\",\"I spent 34 talking to Piper, Avery, Eva, Piper on various topics in the late afternoon.\"\n10144,2012/12/28,I spent 19 talking to Nora on various topics in the early afternoon.,I spent 19 talking to Nora on various topics in the early afternoon.\n10145,2012/12/28,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n10146,2012/12/28,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n10147,2012/12/29,I did running on 2012/12/29.,I did running on 2012/12/29.\n10148,2012/12/29,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n10149,2012/12/29,\"I had sandwich for lunch with Carter, Kayden, Emily\",\"I had sandwich for lunch with Carter, Kayden, Emily\"\n10150,2012/12/29,I ate indian food for dinner.,I ate indian food for dinner.\n10151,2012/12/29,\"I talked to Olivia, Nora for 30 minutes in the morning.\",\"I talked to Olivia, Nora for 30 minutes in the morning.\"\n10152,2012/12/29,\"I spent 26 talking to Avery, Nora, Claire on various topics during lunch hours.\",\"I spent 26 talking to Avery, Nora, Claire on various topics during lunch hours.\"\n10153,2012/12/29,I talked to Hazel for 41 minutes late in the evening.,I talked to Hazel for 41 minutes late in the evening.\n10154,2012/12/29,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n10155,2012/12/29,I spent 29 minutes watching a tv series on TV today.,I spent 29 minutes watching a tv series on TV today.\n10156,2012/12/30,I did weight lifting on 2012/12/30.,I did weight lifting on 2012/12/30.\n10157,2012/12/30,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n10158,2012/12/30,\"I had lunch with Kayden, Carter. I ate indian food.\",\"I had lunch with Kayden, Carter. I ate indian food.\"\n10159,2012/12/30,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n10160,2012/12/30,\"I talked to Lydia, Piper, Rylee for 7 minutes in the early evening.\",\"I talked to Lydia, Piper, Rylee for 7 minutes in the early evening.\"\n10161,2012/12/30,I spent 17 talking to Eva on various topics in the early evening.,I spent 17 talking to Eva on various topics in the early evening.\n10162,2012/12/30,\"I spent 38 talking to Hazel, Olivia on various topics in the late afternoon.\",\"I spent 38 talking to Hazel, Olivia on various topics in the late afternoon.\"\n10163,2012/12/30,I talked to Lydia for 37 minutes during lunch hours.,I talked to Lydia for 37 minutes during lunch hours.\n10164,2012/12/30,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n10165,2012/12/30,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n10166,2012/12/31,I did hiking on 2012/12/31.,I did hiking on 2012/12/31.\n10167,2012/12/31,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n10168,2012/12/31,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n10169,2012/12/31,I prepare tacos for dinner.,I prepare tacos for dinner.\n10170,2012/12/31,\"I spent 39 talking to Eva, Kinsley on various topics in the early afternoon.\",\"I spent 39 talking to Eva, Kinsley on various topics in the early afternoon.\"\n10171,2012/12/31,\"I talked to Piper, Claire, Eva, Kinsley for 45 minutes in the early afternoon.\",\"I talked to Piper, Claire, Eva, Kinsley for 45 minutes in the early afternoon.\"\n10172,2012/12/31,\"I spent 49 talking to Hazel, Kinsley, Claire, Olivia on various topics late in the evening.\",\"I spent 49 talking to Hazel, Kinsley, Claire, Olivia on various topics late in the evening.\"\n10173,2012/12/31,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n10174,2012/12/31,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n10175,2013/01/01,\"On 2013/01/01, I took Lydia on a date to a restaurant\",\"On 2013/01/01, I took Lydia on a date to a restaurant\"\n10176,2013/01/01,\"I went grocery shopping. I bought some oranges, mandarins, mineral water, mango juice, guava juice, coffee, and toothpaste\",\"I went grocery shopping. I bought some oranges, mandarins, mineral water, mango juice, guava juice, coffee, and toothpaste\"\n10177,2013/01/01,I did HIIT on 2013/01/01.,I did HIIT on 2013/01/01.\n10178,2013/01/01,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n10179,2013/01/01,I had lunch with Emily. I ate sushi.,I had lunch with Emily. I ate sushi.\n10180,2013/01/01,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n10181,2013/01/01,\"I talked to Claire, Piper, Layla, Hazel for 37 minutes during lunch hours.\",\"I talked to Claire, Piper, Layla, Hazel for 37 minutes during lunch hours.\"\n10182,2013/01/01,\"I spent 49 talking to Olivia, Piper on various topics in the late afternoon.\",\"I spent 49 talking to Olivia, Piper on various topics in the late afternoon.\"\n10183,2013/01/01,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n10184,2013/01/01,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n10185,2013/01/02,I did biking on 2013/01/02.,I did biking on 2013/01/02.\n10186,2013/01/02,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n10187,2013/01/02,I prepare pasta for lunch.,I prepare pasta for lunch.\n10188,2013/01/02,\"I had fish and chips for dinner with Kayden, Andrew\",\"I had fish and chips for dinner with Kayden, Andrew\"\n10189,2013/01/02,I spent 40 talking to Nora on various topics in the early evening.,I spent 40 talking to Nora on various topics in the early evening.\n10190,2013/01/02,\"I spent 10 talking to Rylee, Olivia on various topics during lunch hours.\",\"I spent 10 talking to Rylee, Olivia on various topics during lunch hours.\"\n10191,2013/01/02,\"I talked to Avery, Hazel, Rylee, Piper for 44 minutes in the early evening.\",\"I talked to Avery, Hazel, Rylee, Piper for 44 minutes in the early evening.\"\n10192,2013/01/02,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n10193,2013/01/02,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n10194,2013/01/03,I did hiking on 2013/01/03.,I did hiking on 2013/01/03.\n10195,2013/01/03,\"I had breakfast with Emily, Andrew, Kayden. I ate pancakes.\",\"I had breakfast with Emily, Andrew, Kayden. I ate pancakes.\"\n10196,2013/01/03,\"I had pasta for lunch with Emily, Carter, Kayden, Andrew\",\"I had pasta for lunch with Emily, Carter, Kayden, Andrew\"\n10197,2013/01/03,I prepare a burger for dinner.,I prepare a burger for dinner.\n10198,2013/01/03,\"I talked to Layla, Nora for 21 minutes in the early afternoon.\",\"I talked to Layla, Nora for 21 minutes in the early afternoon.\"\n10199,2013/01/03,I talked to Claire for 48 minutes in the early afternoon.,I talked to Claire for 48 minutes in the early afternoon.\n10200,2013/01/03,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n10201,2013/01/03,I spent 37 minutes watching a tv series on TV today.,I spent 37 minutes watching a tv series on TV today.\n10202,2013/01/04,\"I went grocery shopping with Kayden, Andrew, Emily, Carter. I bought some bananas, strawberries, watermelons, guava juice, sports drinks, mineral water, mango juice, and toilet paper, facial wash\",\"I went grocery shopping with Kayden, Andrew, Emily, Carter. I bought some bananas, strawberries, watermelons, guava juice, sports drinks, mineral water, mango juice, and toilet paper, facial wash\"\n10203,2013/01/04,I did biking on 2013/01/04.,I did biking on 2013/01/04.\n10204,2013/01/04,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n10205,2013/01/04,I prepare a burger for lunch.,I prepare a burger for lunch.\n10206,2013/01/04,I prepare indian food for dinner.,I prepare indian food for dinner.\n10207,2013/01/04,\"I talked to Avery, Piper, Claire, Olivia for 52 minutes in the early evening.\",\"I talked to Avery, Piper, Claire, Olivia for 52 minutes in the early evening.\"\n10208,2013/01/04,\"I talked to Nevaeh, Lydia, Piper for 19 minutes in the late afternoon.\",\"I talked to Nevaeh, Lydia, Piper for 19 minutes in the late afternoon.\"\n10209,2013/01/04,\"I talked to Piper, Nevaeh, Hazel, Avery for 33 minutes in the late afternoon.\",\"I talked to Piper, Nevaeh, Hazel, Avery for 33 minutes in the late afternoon.\"\n10210,2013/01/04,I talked to Piper for 7 minutes in the late afternoon.,I talked to Piper for 7 minutes in the late afternoon.\n10211,2013/01/04,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n10212,2013/01/04,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n10213,2013/01/05,I did hiking on 2013/01/05.,I did hiking on 2013/01/05.\n10214,2013/01/05,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n10215,2013/01/05,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n10216,2013/01/05,I had fish and chips for dinner with Layla,I had fish and chips for dinner with Layla\n10217,2013/01/05,I talked to Piper for 7 minutes in the early afternoon.,I talked to Piper for 7 minutes in the early afternoon.\n10218,2013/01/05,\"I talked to Avery, Claire, Nevaeh, Layla for 8 minutes late in the evening.\",\"I talked to Avery, Claire, Nevaeh, Layla for 8 minutes late in the evening.\"\n10219,2013/01/05,\"I talked to Avery, Kinsley for 50 minutes in the morning.\",\"I talked to Avery, Kinsley for 50 minutes in the morning.\"\n10220,2013/01/05,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n10221,2013/01/05,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n10222,2013/01/06,I did biking on 2013/01/06.,I did biking on 2013/01/06.\n10223,2013/01/06,I had cereals for breakfast with Andrew,I had cereals for breakfast with Andrew\n10224,2013/01/06,I prepare tacos for lunch.,I prepare tacos for lunch.\n10225,2013/01/06,I ate tacos for dinner.,I ate tacos for dinner.\n10226,2013/01/06,\"I talked to Piper, Hazel, Piper for 43 minutes in the early evening.\",\"I talked to Piper, Hazel, Piper for 43 minutes in the early evening.\"\n10227,2013/01/06,\"I spent 47 talking to Kinsley, Nora on various topics late in the evening.\",\"I spent 47 talking to Kinsley, Nora on various topics late in the evening.\"\n10228,2013/01/06,\"I talked to Hazel, Piper, Rylee, Piper for 13 minutes late in the evening.\",\"I talked to Hazel, Piper, Rylee, Piper for 13 minutes late in the evening.\"\n10229,2013/01/06,\"I spent 44 talking to Nevaeh, Olivia, Kinsley, Eva on various topics during lunch hours.\",\"I spent 44 talking to Nevaeh, Olivia, Kinsley, Eva on various topics during lunch hours.\"\n10230,2013/01/06,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n10231,2013/01/06,I spent 24 minutes watching news on TV today.,I spent 24 minutes watching news on TV today.\n10232,2013/01/07,I spent some time working out on 2013/01/07.,I spent some time working out on 2013/01/07.\n10233,2013/01/07,I did weight lifting on 2013/01/07.,I did weight lifting on 2013/01/07.\n10234,2013/01/07,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n10235,2013/01/07,\"I had fish and chips for lunch with Andrew, Carter\",\"I had fish and chips for lunch with Andrew, Carter\"\n10236,2013/01/07,\"I had dinner with Benjamin, Willow. I ate tacos.\",\"I had dinner with Benjamin, Willow. I ate tacos.\"\n10237,2013/01/07,\"I talked to Lydia, Piper, Avery for 52 minutes in the early evening.\",\"I talked to Lydia, Piper, Avery for 52 minutes in the early evening.\"\n10238,2013/01/07,\"I talked to Hazel, Rylee, Lydia for 18 minutes in the late afternoon.\",\"I talked to Hazel, Rylee, Lydia for 18 minutes in the late afternoon.\"\n10239,2013/01/07,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n10240,2013/01/07,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n10241,2013/01/08,\"I went grocery shopping. I bought some watermelons, nectarines, bananas, sports drinks, coffee, chocolate milk, and shampoo, body lotion, mouth wash\",\"I went grocery shopping. I bought some watermelons, nectarines, bananas, sports drinks, coffee, chocolate milk, and shampoo, body lotion, mouth wash\"\n10242,2013/01/08,I did HIIT on 2013/01/08.,I did HIIT on 2013/01/08.\n10243,2013/01/08,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n10244,2013/01/08,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n10245,2013/01/08,\"I had chinese food for dinner with Emily, Kayden, Andrew\",\"I had chinese food for dinner with Emily, Kayden, Andrew\"\n10246,2013/01/08,\"I talked to Kinsley, Piper, Avery for 17 minutes during lunch hours.\",\"I talked to Kinsley, Piper, Avery for 17 minutes during lunch hours.\"\n10247,2013/01/08,\"I talked to Layla, Hazel, Nevaeh for 11 minutes in the early evening.\",\"I talked to Layla, Hazel, Nevaeh for 11 minutes in the early evening.\"\n10248,2013/01/08,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n10249,2013/01/08,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n10250,2013/01/09,I did running on 2013/01/09.,I did running on 2013/01/09.\n10251,2013/01/09,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n10252,2013/01/09,I prepare sushi for lunch.,I prepare sushi for lunch.\n10253,2013/01/09,I ate sandwich for dinner.,I ate sandwich for dinner.\n10254,2013/01/09,\"I talked to Piper, Eva for 15 minutes in the early afternoon.\",\"I talked to Piper, Eva for 15 minutes in the early afternoon.\"\n10255,2013/01/09,\"I spent 6 talking to Claire, Piper, Nora on various topics in the late afternoon.\",\"I spent 6 talking to Claire, Piper, Nora on various topics in the late afternoon.\"\n10256,2013/01/09,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n10257,2013/01/09,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n10258,2013/01/10,I had breakfast with Carter. I ate toast and cheese.,I had breakfast with Carter. I ate toast and cheese.\n10259,2013/01/10,\"I had fish and chips for lunch with Hazel, Nora, Piper\",\"I had fish and chips for lunch with Hazel, Nora, Piper\"\n10260,2013/01/10,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n10261,2013/01/10,\"I talked to Piper, Hazel for 7 minutes in the early evening.\",\"I talked to Piper, Hazel for 7 minutes in the early evening.\"\n10262,2013/01/10,I talked to Rylee for 18 minutes in the early evening.,I talked to Rylee for 18 minutes in the early evening.\n10263,2013/01/10,I spent 44 talking to Olivia on various topics in the early evening.,I spent 44 talking to Olivia on various topics in the early evening.\n10264,2013/01/10,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n10265,2013/01/10,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n10266,2013/01/11,\"I bought some watermelons, mineral water, guava juice, soda, body lotion, toothbrush, paper towel from the grocery store. I saw Nora, Rylee, Claire, Olivia, Kinsley, Avery, Layla, Piper, Hazel at the grocery store.\",\"I bought some watermelons, mineral water, guava juice, soda, body lotion, toothbrush, paper towel from the grocery store. I saw Nora, Rylee, Claire, Olivia, Kinsley, Avery, Layla, Piper, Hazel at the grocery store.\"\n10267,2013/01/11,I did biking on 2013/01/11.,I did biking on 2013/01/11.\n10268,2013/01/11,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n10269,2013/01/11,I prepare pasta for lunch.,I prepare pasta for lunch.\n10270,2013/01/11,\"I had tacos for dinner with Carter, Kayden, Andrew, Emily\",\"I had tacos for dinner with Carter, Kayden, Andrew, Emily\"\n10271,2013/01/11,I talked to Hazel for 52 minutes in the early afternoon.,I talked to Hazel for 52 minutes in the early afternoon.\n10272,2013/01/11,I talked to Layla for 55 minutes in the late afternoon.,I talked to Layla for 55 minutes in the late afternoon.\n10273,2013/01/11,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n10274,2013/01/11,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n10275,2013/01/12,I did hiking on 2013/01/12.,I did hiking on 2013/01/12.\n10276,2013/01/12,\"I had breakfast with Kayden, Emily. I ate toast and cheese.\",\"I had breakfast with Kayden, Emily. I ate toast and cheese.\"\n10277,2013/01/12,I had lunch with Willow. I ate steak.,I had lunch with Willow. I ate steak.\n10278,2013/01/12,\"I had dinner with Andrew, Carter, Emily. I ate a burger.\",\"I had dinner with Andrew, Carter, Emily. I ate a burger.\"\n10279,2013/01/12,I talked to Piper for 22 minutes in the early evening.,I talked to Piper for 22 minutes in the early evening.\n10280,2013/01/12,\"I talked to Olivia, Lydia, Eva, Claire for 21 minutes in the early evening.\",\"I talked to Olivia, Lydia, Eva, Claire for 21 minutes in the early evening.\"\n10281,2013/01/12,I talked to Layla for 37 minutes in the late afternoon.,I talked to Layla for 37 minutes in the late afternoon.\n10282,2013/01/12,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n10283,2013/01/12,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n10284,2013/01/13,I did HIIT on 2013/01/13.,I did HIIT on 2013/01/13.\n10285,2013/01/13,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n10286,2013/01/13,\"I had chinese food for lunch with Kayden, Emily, Andrew\",\"I had chinese food for lunch with Kayden, Emily, Andrew\"\n10287,2013/01/13,I ate chinese food for dinner.,I ate chinese food for dinner.\n10288,2013/01/13,\"I talked to Lydia, Olivia, Rylee for 19 minutes in the morning.\",\"I talked to Lydia, Olivia, Rylee for 19 minutes in the morning.\"\n10289,2013/01/13,I talked to Hazel for 54 minutes in the early evening.,I talked to Hazel for 54 minutes in the early evening.\n10290,2013/01/13,\"I talked to Nora, Piper for 47 minutes late in the evening.\",\"I talked to Nora, Piper for 47 minutes late in the evening.\"\n10291,2013/01/13,I spent 50 minutes on a book today.,I spent 50 minutes on a book today.\n10292,2013/01/13,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n10293,2013/01/14,I did biking on 2013/01/14.,I did biking on 2013/01/14.\n10294,2013/01/14,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n10295,2013/01/14,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n10296,2013/01/14,\"I had chinese food for dinner with Lydia, Olivia, Avery, Eva, Nevaeh, Kinsley, Nora, Hazel, Layla, Piper, Claire, Piper, Rylee\",\"I had chinese food for dinner with Lydia, Olivia, Avery, Eva, Nevaeh, Kinsley, Nora, Hazel, Layla, Piper, Claire, Piper, Rylee\"\n10297,2013/01/14,\"I talked to Claire, Avery, Olivia, Piper for 18 minutes in the late afternoon.\",\"I talked to Claire, Avery, Olivia, Piper for 18 minutes in the late afternoon.\"\n10298,2013/01/14,\"I talked to Eva, Lydia, Nevaeh, Layla for 23 minutes late in the evening.\",\"I talked to Eva, Lydia, Nevaeh, Layla for 23 minutes late in the evening.\"\n10299,2013/01/14,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n10300,2013/01/14,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n10301,2013/01/15,I went on a date with Ava on 2013/01/15 at a coffee Shop,I went on a date with Ava on 2013/01/15 at a coffee Shop\n10302,2013/01/15,\"I bought some nectarines, cherres, apricots, guava juice, orange juice, soda, apple juice, toothpaste, body lotion from the grocery store. I saw Avery, Jackson at the grocery store.\",\"I bought some nectarines, cherres, apricots, guava juice, orange juice, soda, apple juice, toothpaste, body lotion from the grocery store. I saw Avery, Jackson at the grocery store.\"\n10303,2013/01/15,I did running on 2013/01/15.,I did running on 2013/01/15.\n10304,2013/01/15,\"I had breakfast with Benjamin, Avery. I ate pancakes.\",\"I had breakfast with Benjamin, Avery. I ate pancakes.\"\n10305,2013/01/15,I had lunch with Emily. I ate sandwich.,I had lunch with Emily. I ate sandwich.\n10306,2013/01/15,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n10307,2013/01/15,\"I spent 23 talking to Avery, Layla, Eva, Kinsley on various topics in the early evening.\",\"I spent 23 talking to Avery, Layla, Eva, Kinsley on various topics in the early evening.\"\n10308,2013/01/15,\"I spent 19 talking to Kinsley, Avery, Layla on various topics in the morning.\",\"I spent 19 talking to Kinsley, Avery, Layla on various topics in the morning.\"\n10309,2013/01/15,\"I talked to Piper, Rylee, Layla, Nora for 29 minutes in the morning.\",\"I talked to Piper, Rylee, Layla, Nora for 29 minutes in the morning.\"\n10310,2013/01/15,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n10311,2013/01/15,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n10312,2013/01/16,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n10313,2013/01/16,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n10314,2013/01/16,I had dinner with Willow. I ate tacos.,I had dinner with Willow. I ate tacos.\n10315,2013/01/16,\"I talked to Avery, Rylee, Kinsley, Claire for 53 minutes in the late afternoon.\",\"I talked to Avery, Rylee, Kinsley, Claire for 53 minutes in the late afternoon.\"\n10316,2013/01/16,I talked to Olivia for 43 minutes in the late afternoon.,I talked to Olivia for 43 minutes in the late afternoon.\n10317,2013/01/16,\"I talked to Claire, Olivia for 35 minutes in the morning.\",\"I talked to Claire, Olivia for 35 minutes in the morning.\"\n10318,2013/01/16,\"I talked to Nevaeh, Piper, Hazel, Nora for 55 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Hazel, Nora for 55 minutes in the early afternoon.\"\n10319,2013/01/16,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n10320,2013/01/16,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n10321,2013/01/17,I did running on 2013/01/17.,I did running on 2013/01/17.\n10322,2013/01/17,\"I had breakfast with Emily, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew. I ate peanut-butter-jam.\"\n10323,2013/01/17,I prepare a burger for lunch.,I prepare a burger for lunch.\n10324,2013/01/17,I ate pasta for dinner.,I ate pasta for dinner.\n10325,2013/01/17,\"I spent 12 talking to Lydia, Olivia on various topics during lunch hours.\",\"I spent 12 talking to Lydia, Olivia on various topics during lunch hours.\"\n10326,2013/01/17,\"I talked to Kinsley, Piper, Hazel, Olivia for 15 minutes in the early evening.\",\"I talked to Kinsley, Piper, Hazel, Olivia for 15 minutes in the early evening.\"\n10327,2013/01/17,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n10328,2013/01/17,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n10329,2013/01/18,I did biking on 2013/01/18.,I did biking on 2013/01/18.\n10330,2013/01/18,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n10331,2013/01/18,I prepare a burger for lunch.,I prepare a burger for lunch.\n10332,2013/01/18,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n10333,2013/01/18,\"I spent 48 talking to Avery, Piper on various topics during lunch hours.\",\"I spent 48 talking to Avery, Piper on various topics during lunch hours.\"\n10334,2013/01/18,I spent 24 talking to Rylee on various topics late in the evening.,I spent 24 talking to Rylee on various topics late in the evening.\n10335,2013/01/18,I talked to Layla for 8 minutes in the morning.,I talked to Layla for 8 minutes in the morning.\n10336,2013/01/18,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n10337,2013/01/18,I watched a documentary for 41 minutes on TV today.,I watched a documentary for 41 minutes on TV today.\n10338,2013/01/19,\"I went grocery shopping. I bought some pineapples, pears, cherres, apricots, apple juice, guava juice, and mouth wash, paper towel, toothbrush\",\"I went grocery shopping. I bought some pineapples, pears, cherres, apricots, apple juice, guava juice, and mouth wash, paper towel, toothbrush\"\n10339,2013/01/19,I did HIIT on 2013/01/19.,I did HIIT on 2013/01/19.\n10340,2013/01/19,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n10341,2013/01/19,I had lunch with Andrew. I ate pasta.,I had lunch with Andrew. I ate pasta.\n10342,2013/01/19,\"I had fish and chips for dinner with Layla, Hazel, Rylee, Lydia, Eva, Avery, Piper, Kinsley\",\"I had fish and chips for dinner with Layla, Hazel, Rylee, Lydia, Eva, Avery, Piper, Kinsley\"\n10343,2013/01/19,\"I spent 34 talking to Rylee, Avery, Olivia on various topics in the late afternoon.\",\"I spent 34 talking to Rylee, Avery, Olivia on various topics in the late afternoon.\"\n10344,2013/01/19,\"I talked to Lydia, Eva for 9 minutes in the early afternoon.\",\"I talked to Lydia, Eva for 9 minutes in the early afternoon.\"\n10345,2013/01/19,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n10346,2013/01/19,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n10347,2013/01/20,I did hiking on 2013/01/20.,I did hiking on 2013/01/20.\n10348,2013/01/20,\"I had breakfast with Avery, Benjamin, Jackson. I ate oatmeal.\",\"I had breakfast with Avery, Benjamin, Jackson. I ate oatmeal.\"\n10349,2013/01/20,I ate indian food for lunch.,I ate indian food for lunch.\n10350,2013/01/20,\"I had dinner with Carter, Emily, Kayden, Andrew. I ate tacos.\",\"I had dinner with Carter, Emily, Kayden, Andrew. I ate tacos.\"\n10351,2013/01/20,\"I spent 48 talking to Lydia, Nora on various topics in the late afternoon.\",\"I spent 48 talking to Lydia, Nora on various topics in the late afternoon.\"\n10352,2013/01/20,\"I talked to Rylee, Hazel, Kinsley for 55 minutes in the morning.\",\"I talked to Rylee, Hazel, Kinsley for 55 minutes in the morning.\"\n10353,2013/01/20,\"I spent 31 talking to Nora, Layla on various topics in the early evening.\",\"I spent 31 talking to Nora, Layla on various topics in the early evening.\"\n10354,2013/01/20,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n10355,2013/01/20,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n10356,2013/01/21,I did biking on 2013/01/21.,I did biking on 2013/01/21.\n10357,2013/01/21,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n10358,2013/01/21,\"I had lunch with Benjamin, Jackson, Willow. I ate tacos.\",\"I had lunch with Benjamin, Jackson, Willow. I ate tacos.\"\n10359,2013/01/21,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n10360,2013/01/21,\"I spent 22 talking to Olivia, Nora, Avery on various topics in the early afternoon.\",\"I spent 22 talking to Olivia, Nora, Avery on various topics in the early afternoon.\"\n10361,2013/01/21,\"I spent 25 talking to Avery, Piper on various topics in the early afternoon.\",\"I spent 25 talking to Avery, Piper on various topics in the early afternoon.\"\n10362,2013/01/21,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n10363,2013/01/21,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n10364,2013/01/22,\"I bought some blueberries, clementines, sports drinks, chocolate milk, guava juice, mouth wash, shaving cream, shampoo, toothpaste online.\",\"I bought some blueberries, clementines, sports drinks, chocolate milk, guava juice, mouth wash, shaving cream, shampoo, toothpaste online.\"\n10365,2013/01/22,I did running on 2013/01/22.,I did running on 2013/01/22.\n10366,2013/01/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n10367,2013/01/22,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n10368,2013/01/22,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n10369,2013/01/22,I spent 23 talking to Piper on various topics in the morning.,I spent 23 talking to Piper on various topics in the morning.\n10370,2013/01/22,\"I spent 17 talking to Hazel, Eva, Nevaeh, Piper on various topics in the morning.\",\"I spent 17 talking to Hazel, Eva, Nevaeh, Piper on various topics in the morning.\"\n10371,2013/01/22,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n10372,2013/01/22,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n10373,2013/01/23,I did weight lifting on 2013/01/23.,I did weight lifting on 2013/01/23.\n10374,2013/01/23,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n10375,2013/01/23,\"I had lunch with Benjamin, Jackson, Willow, Avery. I ate indian food.\",\"I had lunch with Benjamin, Jackson, Willow, Avery. I ate indian food.\"\n10376,2013/01/23,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n10377,2013/01/23,I talked to Layla for 48 minutes during lunch hours.,I talked to Layla for 48 minutes during lunch hours.\n10378,2013/01/23,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n10379,2013/01/23,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n10380,2013/01/24,\"On 2013/01/24, I took Connor on a date to a restaurant\",\"On 2013/01/24, I took Connor on a date to a restaurant\"\n10381,2013/01/24,I did HIIT on 2013/01/24.,I did HIIT on 2013/01/24.\n10382,2013/01/24,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n10383,2013/01/24,I prepare a burger for lunch.,I prepare a burger for lunch.\n10384,2013/01/24,I ate sushi for dinner.,I ate sushi for dinner.\n10385,2013/01/24,\"I talked to Lydia, Kinsley, Olivia for 35 minutes during lunch hours.\",\"I talked to Lydia, Kinsley, Olivia for 35 minutes during lunch hours.\"\n10386,2013/01/24,\"I spent 24 talking to Kinsley, Piper, Layla on various topics in the late afternoon.\",\"I spent 24 talking to Kinsley, Piper, Layla on various topics in the late afternoon.\"\n10387,2013/01/24,I talked to Olivia for 7 minutes in the morning.,I talked to Olivia for 7 minutes in the morning.\n10388,2013/01/24,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n10389,2013/01/24,I watched a movie for 30 minutes on TV today.,I watched a movie for 30 minutes on TV today.\n10390,2013/01/25,\"I went grocery shopping with Emily, Kayden, Carter. I bought some pineapples, clementines, tea, milk, pineapple juice, and shampoo, toilet paper, mouth wash\",\"I went grocery shopping with Emily, Kayden, Carter. I bought some pineapples, clementines, tea, milk, pineapple juice, and shampoo, toilet paper, mouth wash\"\n10391,2013/01/25,I did swimming on 2013/01/25.,I did swimming on 2013/01/25.\n10392,2013/01/25,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n10393,2013/01/25,I ate steak for lunch.,I ate steak for lunch.\n10394,2013/01/25,\"I had tacos for dinner with Nora, Olivia, Eva, Rylee, Claire, Piper, Lydia, Hazel, Nevaeh\",\"I had tacos for dinner with Nora, Olivia, Eva, Rylee, Claire, Piper, Lydia, Hazel, Nevaeh\"\n10395,2013/01/25,\"I talked to Avery, Piper, Nora, Claire for 46 minutes in the morning.\",\"I talked to Avery, Piper, Nora, Claire for 46 minutes in the morning.\"\n10396,2013/01/25,\"I spent 50 talking to Avery, Layla, Olivia on various topics in the early afternoon.\",\"I spent 50 talking to Avery, Layla, Olivia on various topics in the early afternoon.\"\n10397,2013/01/25,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n10398,2013/01/25,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n10399,2013/01/26,I did weight lifting on 2013/01/26.,I did weight lifting on 2013/01/26.\n10400,2013/01/26,\"I had eggs, sausages, and bread for breakfast with Avery, Benjamin, Willow, Jackson\",\"I had eggs, sausages, and bread for breakfast with Avery, Benjamin, Willow, Jackson\"\n10401,2013/01/26,\"I had lunch with Kinsley, Nora, Rylee, Nevaeh, Claire, Layla, Piper, Avery. I ate a burger.\",\"I had lunch with Kinsley, Nora, Rylee, Nevaeh, Claire, Layla, Piper, Avery. I ate a burger.\"\n10402,2013/01/26,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n10403,2013/01/26,\"I spent 39 talking to Nora, Kinsley on various topics late in the evening.\",\"I spent 39 talking to Nora, Kinsley on various topics late in the evening.\"\n10404,2013/01/26,\"I talked to Nora, Olivia, Piper, Claire for 10 minutes late in the evening.\",\"I talked to Nora, Olivia, Piper, Claire for 10 minutes late in the evening.\"\n10405,2013/01/26,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n10406,2013/01/26,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n10407,2013/01/27,I did HIIT on 2013/01/27.,I did HIIT on 2013/01/27.\n10408,2013/01/27,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n10409,2013/01/27,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n10410,2013/01/27,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n10411,2013/01/27,\"I spent 15 talking to Olivia, Piper, Avery on various topics during lunch hours.\",\"I spent 15 talking to Olivia, Piper, Avery on various topics during lunch hours.\"\n10412,2013/01/27,\"I spent 29 talking to Eva, Olivia, Hazel, Piper on various topics in the early afternoon.\",\"I spent 29 talking to Eva, Olivia, Hazel, Piper on various topics in the early afternoon.\"\n10413,2013/01/27,I talked to Rylee for 12 minutes late in the evening.,I talked to Rylee for 12 minutes late in the evening.\n10414,2013/01/27,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n10415,2013/01/27,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n10416,2013/01/28,\"On 2013/01/28, I took Landon on a date to a park\",\"On 2013/01/28, I took Landon on a date to a park\"\n10417,2013/01/28,I did running on 2013/01/28.,I did running on 2013/01/28.\n10418,2013/01/28,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n10419,2013/01/28,\"I had sushi for lunch with Kayden, Andrew\",\"I had sushi for lunch with Kayden, Andrew\"\n10420,2013/01/28,I prepare pasta for dinner.,I prepare pasta for dinner.\n10421,2013/01/28,\"I spent 53 talking to Nora, Nevaeh, Piper on various topics in the late afternoon.\",\"I spent 53 talking to Nora, Nevaeh, Piper on various topics in the late afternoon.\"\n10422,2013/01/28,I talked to Piper for 46 minutes in the early afternoon.,I talked to Piper for 46 minutes in the early afternoon.\n10423,2013/01/28,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n10424,2013/01/28,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n10425,2013/01/29,I did hiking on 2013/01/29.,I did hiking on 2013/01/29.\n10426,2013/01/29,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n10427,2013/01/29,\"I had lunch with Kayden, Andrew. I ate sandwich.\",\"I had lunch with Kayden, Andrew. I ate sandwich.\"\n10428,2013/01/29,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n10429,2013/01/29,I spent 40 talking to Nevaeh on various topics late in the evening.,I spent 40 talking to Nevaeh on various topics late in the evening.\n10430,2013/01/29,\"I spent 6 talking to Hazel, Nevaeh, Claire, Layla on various topics in the early evening.\",\"I spent 6 talking to Hazel, Nevaeh, Claire, Layla on various topics in the early evening.\"\n10431,2013/01/29,I talked to Olivia for 53 minutes in the early evening.,I talked to Olivia for 53 minutes in the early evening.\n10432,2013/01/29,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n10433,2013/01/29,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n10434,2013/01/30,\"I bought some cherres, milk, tea, apple juice, sports drinks, facial wash, toothbrush, mouthwash, mouth wash online.\",\"I bought some cherres, milk, tea, apple juice, sports drinks, facial wash, toothbrush, mouthwash, mouth wash online.\"\n10435,2013/01/30,I did hiking on 2013/01/30.,I did hiking on 2013/01/30.\n10436,2013/01/30,I had pancakes for breakfast with Carter,I had pancakes for breakfast with Carter\n10437,2013/01/30,\"I had lunch with Carter, Kayden. I ate indian food.\",\"I had lunch with Carter, Kayden. I ate indian food.\"\n10438,2013/01/30,I ate steak for dinner.,I ate steak for dinner.\n10439,2013/01/30,I spent 30 talking to Rylee on various topics in the early afternoon.,I spent 30 talking to Rylee on various topics in the early afternoon.\n10440,2013/01/30,\"I spent 14 talking to Piper, Lydia on various topics in the morning.\",\"I spent 14 talking to Piper, Lydia on various topics in the morning.\"\n10441,2013/01/30,\"I spent 22 talking to Olivia, Hazel, Rylee on various topics in the morning.\",\"I spent 22 talking to Olivia, Hazel, Rylee on various topics in the morning.\"\n10442,2013/01/30,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n10443,2013/01/30,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n10444,2013/01/31,I did running on 2013/01/31.,I did running on 2013/01/31.\n10445,2013/01/31,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n10446,2013/01/31,I had lunch with Andrew. I ate fish and chips.,I had lunch with Andrew. I ate fish and chips.\n10447,2013/01/31,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n10448,2013/01/31,\"I talked to Lydia, Eva for 9 minutes in the early evening.\",\"I talked to Lydia, Eva for 9 minutes in the early evening.\"\n10449,2013/01/31,\"I spent 7 talking to Piper, Kinsley, Eva on various topics during lunch hours.\",\"I spent 7 talking to Piper, Kinsley, Eva on various topics during lunch hours.\"\n10450,2013/01/31,\"I talked to Layla, Piper for 45 minutes in the early evening.\",\"I talked to Layla, Piper for 45 minutes in the early evening.\"\n10451,2013/01/31,\"I talked to Rylee, Eva, Olivia, Nevaeh for 25 minutes late in the evening.\",\"I talked to Rylee, Eva, Olivia, Nevaeh for 25 minutes late in the evening.\"\n10452,2013/01/31,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n10453,2013/01/31,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n10454,2013/02/01,I did HIIT on 2013/02/01.,I did HIIT on 2013/02/01.\n10455,2013/02/01,\"I had breakfast with Kinsley, Piper, Piper, Claire, Eva. I ate cereals.\",\"I had breakfast with Kinsley, Piper, Piper, Claire, Eva. I ate cereals.\"\n10456,2013/02/01,I had sushi for lunch with Emily,I had sushi for lunch with Emily\n10457,2013/02/01,I had dinner with Emily. I ate sandwich.,I had dinner with Emily. I ate sandwich.\n10458,2013/02/01,I spent 19 talking to Avery on various topics in the early evening.,I spent 19 talking to Avery on various topics in the early evening.\n10459,2013/02/01,I talked to Avery for 35 minutes late in the evening.,I talked to Avery for 35 minutes late in the evening.\n10460,2013/02/01,I talked to Rylee for 25 minutes in the early afternoon.,I talked to Rylee for 25 minutes in the early afternoon.\n10461,2013/02/01,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n10462,2013/02/01,I spent 36 minutes watching a documentary on TV today.,I spent 36 minutes watching a documentary on TV today.\n10463,2013/02/02,I went on a date with Brooklyn on 2013/02/02 at a coffee Shop,I went on a date with Brooklyn on 2013/02/02 at a coffee Shop\n10464,2013/02/02,\"I had breakfast with Kinsley, Nevaeh, Lydia, Piper, Nora, Olivia, Rylee, Claire, Piper, Layla, Avery, Hazel, Eva. I ate toast and cheese.\",\"I had breakfast with Kinsley, Nevaeh, Lydia, Piper, Nora, Olivia, Rylee, Claire, Piper, Layla, Avery, Hazel, Eva. I ate toast and cheese.\"\n10465,2013/02/02,\"I had lunch with Carter, Kayden, Andrew, Emily. I ate pasta.\",\"I had lunch with Carter, Kayden, Andrew, Emily. I ate pasta.\"\n10466,2013/02/02,\"I had dinner with Avery, Willow, Jackson, Benjamin. I ate steak.\",\"I had dinner with Avery, Willow, Jackson, Benjamin. I ate steak.\"\n10467,2013/02/02,\"I spent 45 talking to Eva, Rylee, Piper on various topics in the early evening.\",\"I spent 45 talking to Eva, Rylee, Piper on various topics in the early evening.\"\n10468,2013/02/02,\"I spent 41 talking to Avery, Hazel, Lydia on various topics in the morning.\",\"I spent 41 talking to Avery, Hazel, Lydia on various topics in the morning.\"\n10469,2013/02/02,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n10470,2013/02/02,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n10471,2013/02/03,I really enjoyed gardening on 2013/02/03,I really enjoyed gardening on 2013/02/03\n10472,2013/02/03,I did swimming on 2013/02/03.,I did swimming on 2013/02/03.\n10473,2013/02/03,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n10474,2013/02/03,\"I had steak for lunch with Andrew, Carter, Emily\",\"I had steak for lunch with Andrew, Carter, Emily\"\n10475,2013/02/03,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n10476,2013/02/03,\"I spent 48 talking to Kinsley, Nevaeh, Piper on various topics late in the evening.\",\"I spent 48 talking to Kinsley, Nevaeh, Piper on various topics late in the evening.\"\n10477,2013/02/03,\"I spent 16 talking to Olivia, Claire on various topics in the late afternoon.\",\"I spent 16 talking to Olivia, Claire on various topics in the late afternoon.\"\n10478,2013/02/03,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n10479,2013/02/03,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n10480,2013/02/04,\"I bought some oranges, blueberries, apricots, clementines, sports drinks, guava juice, coffee, tea, toilet paper from the grocery store. I saw Layla, Piper, Olivia, Piper, Hazel, Lydia, Claire, Avery, Nora, Eva, Nevaeh, Kinsley at the grocery store.\",\"I bought some oranges, blueberries, apricots, clementines, sports drinks, guava juice, coffee, tea, toilet paper from the grocery store. I saw Layla, Piper, Olivia, Piper, Hazel, Lydia, Claire, Avery, Nora, Eva, Nevaeh, Kinsley at the grocery store.\"\n10481,2013/02/04,I did running on 2013/02/04.,I did running on 2013/02/04.\n10482,2013/02/04,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n10483,2013/02/04,\"I had fish and chips for lunch with Andrew, Emily\",\"I had fish and chips for lunch with Andrew, Emily\"\n10484,2013/02/04,I ate a burger for dinner.,I ate a burger for dinner.\n10485,2013/02/04,\"I talked to Avery, Lydia for 32 minutes late in the evening.\",\"I talked to Avery, Lydia for 32 minutes late in the evening.\"\n10486,2013/02/04,\"I talked to Claire, Lydia, Olivia for 31 minutes late in the evening.\",\"I talked to Claire, Lydia, Olivia for 31 minutes late in the evening.\"\n10487,2013/02/04,\"I spent 10 talking to Nora, Eva, Olivia, Piper on various topics late in the evening.\",\"I spent 10 talking to Nora, Eva, Olivia, Piper on various topics late in the evening.\"\n10488,2013/02/04,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n10489,2013/02/04,I spent 30 minutes watching a movie on TV today.,I spent 30 minutes watching a movie on TV today.\n10490,2013/02/05,I did biking on 2013/02/05.,I did biking on 2013/02/05.\n10491,2013/02/05,\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate eggs, sausages, and bread.\"\n10492,2013/02/05,I prepare pasta for lunch.,I prepare pasta for lunch.\n10493,2013/02/05,\"I had fish and chips for dinner with Kayden, Carter, Emily, Andrew\",\"I had fish and chips for dinner with Kayden, Carter, Emily, Andrew\"\n10494,2013/02/05,\"I talked to Eva, Hazel for 45 minutes in the early afternoon.\",\"I talked to Eva, Hazel for 45 minutes in the early afternoon.\"\n10495,2013/02/05,\"I spent 40 talking to Olivia, Avery, Piper on various topics in the morning.\",\"I spent 40 talking to Olivia, Avery, Piper on various topics in the morning.\"\n10496,2013/02/05,\"I talked to Piper, Eva, Nora for 41 minutes in the early afternoon.\",\"I talked to Piper, Eva, Nora for 41 minutes in the early afternoon.\"\n10497,2013/02/05,\"I talked to Hazel, Piper, Rylee for 14 minutes during lunch hours.\",\"I talked to Hazel, Piper, Rylee for 14 minutes during lunch hours.\"\n10498,2013/02/05,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n10499,2013/02/05,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n10500,2013/02/06,I did HIIT on 2013/02/06.,I did HIIT on 2013/02/06.\n10501,2013/02/06,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n10502,2013/02/06,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n10503,2013/02/06,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n10504,2013/02/06,\"I spent 22 talking to Hazel, Avery on various topics in the late afternoon.\",\"I spent 22 talking to Hazel, Avery on various topics in the late afternoon.\"\n10505,2013/02/06,\"I talked to Rylee, Kinsley for 52 minutes late in the evening.\",\"I talked to Rylee, Kinsley for 52 minutes late in the evening.\"\n10506,2013/02/06,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n10507,2013/02/06,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n10508,2013/02/07,I took my parents for their for an annual physical checkup on 2013/02/07 at the hospital.,I took my parents for their for an annual physical checkup on 2013/02/07 at the hospital.\n10509,2013/02/07,\"I went grocery shopping with Andrew. I bought some guava, apricots, apples, soda, guava juice, pineapple juice, and mouth wash, paper towel, toothpaste, toothbrush\",\"I went grocery shopping with Andrew. I bought some guava, apricots, apples, soda, guava juice, pineapple juice, and mouth wash, paper towel, toothpaste, toothbrush\"\n10510,2013/02/07,I did biking on 2013/02/07.,I did biking on 2013/02/07.\n10511,2013/02/07,\"I had cereals for breakfast with Avery, Rylee, Hazel, Piper, Piper, Nora, Lydia, Layla, Olivia\",\"I had cereals for breakfast with Avery, Rylee, Hazel, Piper, Piper, Nora, Lydia, Layla, Olivia\"\n10512,2013/02/07,I ate a burger for lunch.,I ate a burger for lunch.\n10513,2013/02/07,I prepare sushi for dinner.,I prepare sushi for dinner.\n10514,2013/02/07,\"I talked to Nevaeh, Piper for 39 minutes during lunch hours.\",\"I talked to Nevaeh, Piper for 39 minutes during lunch hours.\"\n10515,2013/02/07,\"I spent 16 talking to Kinsley, Lydia on various topics in the late afternoon.\",\"I spent 16 talking to Kinsley, Lydia on various topics in the late afternoon.\"\n10516,2013/02/07,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n10517,2013/02/07,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n10518,2013/02/08,I did swimming on 2013/02/08.,I did swimming on 2013/02/08.\n10519,2013/02/08,\"I had toast and cheese for breakfast with Jackson, Benjamin, Avery\",\"I had toast and cheese for breakfast with Jackson, Benjamin, Avery\"\n10520,2013/02/08,\"I had chinese food for lunch with Avery, Benjamin, Willow\",\"I had chinese food for lunch with Avery, Benjamin, Willow\"\n10521,2013/02/08,\"I had dinner with Kayden, Emily, Carter, Andrew. I ate sushi.\",\"I had dinner with Kayden, Emily, Carter, Andrew. I ate sushi.\"\n10522,2013/02/08,I spent 8 talking to Nora on various topics late in the evening.,I spent 8 talking to Nora on various topics late in the evening.\n10523,2013/02/08,\"I talked to Claire, Piper, Lydia, Piper for 42 minutes late in the evening.\",\"I talked to Claire, Piper, Lydia, Piper for 42 minutes late in the evening.\"\n10524,2013/02/08,\"I spent 18 talking to Olivia, Avery on various topics in the morning.\",\"I spent 18 talking to Olivia, Avery on various topics in the morning.\"\n10525,2013/02/08,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n10526,2013/02/08,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n10527,2013/02/09,I did hiking on 2013/02/09.,I did hiking on 2013/02/09.\n10528,2013/02/09,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n10529,2013/02/09,I ate sushi for lunch.,I ate sushi for lunch.\n10530,2013/02/09,I ate sushi for dinner.,I ate sushi for dinner.\n10531,2013/02/09,\"I spent 12 talking to Piper, Hazel on various topics in the late afternoon.\",\"I spent 12 talking to Piper, Hazel on various topics in the late afternoon.\"\n10532,2013/02/09,\"I talked to Kinsley, Nevaeh for 29 minutes in the early evening.\",\"I talked to Kinsley, Nevaeh for 29 minutes in the early evening.\"\n10533,2013/02/09,\"I spent 48 talking to Olivia, Nora, Piper on various topics in the late afternoon.\",\"I spent 48 talking to Olivia, Nora, Piper on various topics in the late afternoon.\"\n10534,2013/02/09,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n10535,2013/02/09,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n10536,2013/02/10,I did weight lifting on 2013/02/10.,I did weight lifting on 2013/02/10.\n10537,2013/02/10,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n10538,2013/02/10,\"I had lunch with Andrew, Kayden, Emily, Carter. I ate indian food.\",\"I had lunch with Andrew, Kayden, Emily, Carter. I ate indian food.\"\n10539,2013/02/10,\"I had sushi for dinner with Jackson, Benjamin, Willow\",\"I had sushi for dinner with Jackson, Benjamin, Willow\"\n10540,2013/02/10,\"I talked to Olivia, Hazel for 48 minutes in the morning.\",\"I talked to Olivia, Hazel for 48 minutes in the morning.\"\n10541,2013/02/10,\"I talked to Piper, Nora for 9 minutes in the early evening.\",\"I talked to Piper, Nora for 9 minutes in the early evening.\"\n10542,2013/02/10,I talked to Olivia for 6 minutes in the early afternoon.,I talked to Olivia for 6 minutes in the early afternoon.\n10543,2013/02/10,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n10544,2013/02/10,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n10545,2013/02/11,I did swimming on 2013/02/11.,I did swimming on 2013/02/11.\n10546,2013/02/11,I had breakfast with Jackson. I ate pancakes.,I had breakfast with Jackson. I ate pancakes.\n10547,2013/02/11,I prepare tacos for lunch.,I prepare tacos for lunch.\n10548,2013/02/11,\"I had dinner with Avery, Lydia. I ate indian food.\",\"I had dinner with Avery, Lydia. I ate indian food.\"\n10549,2013/02/11,\"I talked to Lydia, Nora, Claire, Avery for 21 minutes during lunch hours.\",\"I talked to Lydia, Nora, Claire, Avery for 21 minutes during lunch hours.\"\n10550,2013/02/11,\"I talked to Piper, Avery, Olivia for 17 minutes in the morning.\",\"I talked to Piper, Avery, Olivia for 17 minutes in the morning.\"\n10551,2013/02/11,\"I spent 8 talking to Olivia, Eva, Lydia, Rylee on various topics in the early evening.\",\"I spent 8 talking to Olivia, Eva, Lydia, Rylee on various topics in the early evening.\"\n10552,2013/02/11,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n10553,2013/02/11,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n10554,2013/02/12,\"On 2013/02/12, I took Nova on a date to a boba shop\",\"On 2013/02/12, I took Nova on a date to a boba shop\"\n10555,2013/02/12,\"I went grocery shopping with Emily, Kayden. I bought some apricots, pears, watermelons, oranges, milk, orange juice, apple juice, and toilet paper\",\"I went grocery shopping with Emily, Kayden. I bought some apricots, pears, watermelons, oranges, milk, orange juice, apple juice, and toilet paper\"\n10556,2013/02/12,I did biking on 2013/02/12.,I did biking on 2013/02/12.\n10557,2013/02/12,\"I had breakfast with Avery, Willow, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Willow, Jackson. I ate peanut-butter-jam.\"\n10558,2013/02/12,I prepare tacos for lunch.,I prepare tacos for lunch.\n10559,2013/02/12,\"I had sushi for dinner with Eva, Nevaeh, Lydia, Avery, Piper, Nora, Olivia, Claire, Layla, Kinsley, Rylee\",\"I had sushi for dinner with Eva, Nevaeh, Lydia, Avery, Piper, Nora, Olivia, Claire, Layla, Kinsley, Rylee\"\n10560,2013/02/12,\"I spent 53 talking to Avery, Kinsley, Layla on various topics during lunch hours.\",\"I spent 53 talking to Avery, Kinsley, Layla on various topics during lunch hours.\"\n10561,2013/02/12,\"I spent 38 talking to Lydia, Claire, Rylee on various topics during lunch hours.\",\"I spent 38 talking to Lydia, Claire, Rylee on various topics during lunch hours.\"\n10562,2013/02/12,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n10563,2013/02/12,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n10564,2013/02/13,\"I spent time gardening on 2013/02/13 with Lydia, Rylee, Piper.\",\"I spent time gardening on 2013/02/13 with Lydia, Rylee, Piper.\"\n10565,2013/02/13,I did running on 2013/02/13.,I did running on 2013/02/13.\n10566,2013/02/13,\"I had breakfast with Avery, Benjamin, Jackson, Willow. I ate pancakes.\",\"I had breakfast with Avery, Benjamin, Jackson, Willow. I ate pancakes.\"\n10567,2013/02/13,I ate a burger for lunch.,I ate a burger for lunch.\n10568,2013/02/13,I ate sandwich for dinner.,I ate sandwich for dinner.\n10569,2013/02/13,\"I spent 35 talking to Piper, Olivia, Layla, Rylee on various topics in the early afternoon.\",\"I spent 35 talking to Piper, Olivia, Layla, Rylee on various topics in the early afternoon.\"\n10570,2013/02/13,\"I spent 23 talking to Rylee, Layla, Piper, Claire on various topics in the late afternoon.\",\"I spent 23 talking to Rylee, Layla, Piper, Claire on various topics in the late afternoon.\"\n10571,2013/02/13,\"I talked to Olivia, Hazel for 53 minutes in the early afternoon.\",\"I talked to Olivia, Hazel for 53 minutes in the early afternoon.\"\n10572,2013/02/13,I spent 20 talking to Piper on various topics in the late afternoon.,I spent 20 talking to Piper on various topics in the late afternoon.\n10573,2013/02/13,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n10574,2013/02/13,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n10575,2013/02/14,I did running on 2013/02/14.,I did running on 2013/02/14.\n10576,2013/02/14,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n10577,2013/02/14,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n10578,2013/02/14,\"I had dinner with Kayden, Emily, Carter. I ate chinese food.\",\"I had dinner with Kayden, Emily, Carter. I ate chinese food.\"\n10579,2013/02/14,I spent 43 talking to Nevaeh on various topics in the late afternoon.,I spent 43 talking to Nevaeh on various topics in the late afternoon.\n10580,2013/02/14,I talked to Lydia for 41 minutes during lunch hours.,I talked to Lydia for 41 minutes during lunch hours.\n10581,2013/02/14,\"I talked to Lydia, Claire, Nora, Olivia for 18 minutes in the morning.\",\"I talked to Lydia, Claire, Nora, Olivia for 18 minutes in the morning.\"\n10582,2013/02/14,\"I spent 52 talking to Piper, Rylee, Olivia on various topics late in the evening.\",\"I spent 52 talking to Piper, Rylee, Olivia on various topics late in the evening.\"\n10583,2013/02/14,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n10584,2013/02/14,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n10585,2013/02/15,I did weight lifting on 2013/02/15.,I did weight lifting on 2013/02/15.\n10586,2013/02/15,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n10587,2013/02/15,I ate steak for lunch.,I ate steak for lunch.\n10588,2013/02/15,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n10589,2013/02/15,\"I spent 26 talking to Lydia, Olivia, Eva, Rylee on various topics in the early evening.\",\"I spent 26 talking to Lydia, Olivia, Eva, Rylee on various topics in the early evening.\"\n10590,2013/02/15,\"I talked to Nora, Hazel, Avery, Nevaeh for 44 minutes in the late afternoon.\",\"I talked to Nora, Hazel, Avery, Nevaeh for 44 minutes in the late afternoon.\"\n10591,2013/02/15,\"I talked to Nora, Avery for 23 minutes in the early evening.\",\"I talked to Nora, Avery for 23 minutes in the early evening.\"\n10592,2013/02/15,I spent 8 talking to Hazel on various topics in the early afternoon.,I spent 8 talking to Hazel on various topics in the early afternoon.\n10593,2013/02/15,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n10594,2013/02/15,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n10595,2013/02/16,I did weight lifting on 2013/02/16.,I did weight lifting on 2013/02/16.\n10596,2013/02/16,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n10597,2013/02/16,I ate indian food for lunch.,I ate indian food for lunch.\n10598,2013/02/16,I ate chinese food for dinner.,I ate chinese food for dinner.\n10599,2013/02/16,I talked to Piper for 13 minutes in the morning.,I talked to Piper for 13 minutes in the morning.\n10600,2013/02/16,\"I spent 13 talking to Nevaeh, Rylee, Hazel on various topics in the early evening.\",\"I spent 13 talking to Nevaeh, Rylee, Hazel on various topics in the early evening.\"\n10601,2013/02/16,I talked to Nevaeh for 26 minutes in the early afternoon.,I talked to Nevaeh for 26 minutes in the early afternoon.\n10602,2013/02/16,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n10603,2013/02/16,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n10604,2013/02/17,I did weight lifting on 2013/02/17.,I did weight lifting on 2013/02/17.\n10605,2013/02/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n10606,2013/02/17,\"I had lunch with Kayden, Andrew. I ate steak.\",\"I had lunch with Kayden, Andrew. I ate steak.\"\n10607,2013/02/17,I prepare steak for dinner.,I prepare steak for dinner.\n10608,2013/02/17,\"I talked to Piper, Avery, Olivia for 44 minutes in the early afternoon.\",\"I talked to Piper, Avery, Olivia for 44 minutes in the early afternoon.\"\n10609,2013/02/17,I talked to Eva for 29 minutes during lunch hours.,I talked to Eva for 29 minutes during lunch hours.\n10610,2013/02/17,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n10611,2013/02/17,I watched a documentary for 46 minutes on TV today.,I watched a documentary for 46 minutes on TV today.\n10612,2013/02/18,\"I bought some raspberries, oranges, pears, orange juice, milk, mouth wash, mouthwash, shampoo from the grocery store. I saw Carter, Andrew at the grocery store.\",\"I bought some raspberries, oranges, pears, orange juice, milk, mouth wash, mouthwash, shampoo from the grocery store. I saw Carter, Andrew at the grocery store.\"\n10613,2013/02/18,I did weight lifting on 2013/02/18.,I did weight lifting on 2013/02/18.\n10614,2013/02/18,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n10615,2013/02/18,I ate a burger for lunch.,I ate a burger for lunch.\n10616,2013/02/18,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n10617,2013/02/18,\"I talked to Nevaeh, Olivia, Rylee, Nora for 12 minutes in the early evening.\",\"I talked to Nevaeh, Olivia, Rylee, Nora for 12 minutes in the early evening.\"\n10618,2013/02/18,\"I spent 25 talking to Avery, Layla, Olivia on various topics during lunch hours.\",\"I spent 25 talking to Avery, Layla, Olivia on various topics during lunch hours.\"\n10619,2013/02/18,I spent 25 talking to Piper on various topics in the early afternoon.,I spent 25 talking to Piper on various topics in the early afternoon.\n10620,2013/02/18,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n10621,2013/02/18,I watched news for 5 minutes on TV today.,I watched news for 5 minutes on TV today.\n10622,2013/02/19,I did running on 2013/02/19.,I did running on 2013/02/19.\n10623,2013/02/19,I had cereals for breakfast with Carter,I had cereals for breakfast with Carter\n10624,2013/02/19,\"I had steak for lunch with Kayden, Emily\",\"I had steak for lunch with Kayden, Emily\"\n10625,2013/02/19,\"I had sandwich for dinner with Carter, Kayden\",\"I had sandwich for dinner with Carter, Kayden\"\n10626,2013/02/19,\"I talked to Claire, Nevaeh for 12 minutes in the early evening.\",\"I talked to Claire, Nevaeh for 12 minutes in the early evening.\"\n10627,2013/02/19,I spent 37 talking to Piper on various topics in the morning.,I spent 37 talking to Piper on various topics in the morning.\n10628,2013/02/19,I talked to Lydia for 42 minutes in the late afternoon.,I talked to Lydia for 42 minutes in the late afternoon.\n10629,2013/02/19,\"I spent 28 talking to Lydia, Olivia, Nora on various topics late in the evening.\",\"I spent 28 talking to Lydia, Olivia, Nora on various topics late in the evening.\"\n10630,2013/02/19,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n10631,2013/02/19,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n10632,2013/02/20,I did hiking on 2013/02/20.,I did hiking on 2013/02/20.\n10633,2013/02/20,\"I had breakfast with Jackson, Avery, Benjamin. I ate cereals.\",\"I had breakfast with Jackson, Avery, Benjamin. I ate cereals.\"\n10634,2013/02/20,\"I had lunch with Avery, Jackson, Benjamin, Willow. I ate sushi.\",\"I had lunch with Avery, Jackson, Benjamin, Willow. I ate sushi.\"\n10635,2013/02/20,I ate indian food for dinner.,I ate indian food for dinner.\n10636,2013/02/20,\"I talked to Layla, Avery for 7 minutes in the early evening.\",\"I talked to Layla, Avery for 7 minutes in the early evening.\"\n10637,2013/02/20,\"I spent 14 talking to Nevaeh, Claire, Kinsley on various topics in the early afternoon.\",\"I spent 14 talking to Nevaeh, Claire, Kinsley on various topics in the early afternoon.\"\n10638,2013/02/20,\"I spent 54 talking to Piper, Claire, Layla, Rylee on various topics in the early evening.\",\"I spent 54 talking to Piper, Claire, Layla, Rylee on various topics in the early evening.\"\n10639,2013/02/20,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n10640,2013/02/20,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n10641,2013/02/21,\"I bought some oranges, mango juice, orange juice, coffee, toilet paper, mouthwash, shampoo, mouth wash online.\",\"I bought some oranges, mango juice, orange juice, coffee, toilet paper, mouthwash, shampoo, mouth wash online.\"\n10642,2013/02/21,I did biking on 2013/02/21.,I did biking on 2013/02/21.\n10643,2013/02/21,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n10644,2013/02/21,I prepare sushi for lunch.,I prepare sushi for lunch.\n10645,2013/02/21,I ate tacos for dinner.,I ate tacos for dinner.\n10646,2013/02/21,\"I talked to Piper, Layla for 39 minutes in the morning.\",\"I talked to Piper, Layla for 39 minutes in the morning.\"\n10647,2013/02/21,\"I talked to Piper, Avery, Hazel for 14 minutes in the early evening.\",\"I talked to Piper, Avery, Hazel for 14 minutes in the early evening.\"\n10648,2013/02/21,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n10649,2013/02/21,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n10650,2013/02/22,I did HIIT on 2013/02/22.,I did HIIT on 2013/02/22.\n10651,2013/02/22,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n10652,2013/02/22,I ate sandwich for lunch.,I ate sandwich for lunch.\n10653,2013/02/22,I had dinner with Emily. I ate chinese food.,I had dinner with Emily. I ate chinese food.\n10654,2013/02/22,I talked to Claire for 29 minutes late in the evening.,I talked to Claire for 29 minutes late in the evening.\n10655,2013/02/22,\"I talked to Piper, Rylee, Claire, Nora for 25 minutes in the early evening.\",\"I talked to Piper, Rylee, Claire, Nora for 25 minutes in the early evening.\"\n10656,2013/02/22,\"I spent 11 talking to Claire, Piper, Piper on various topics in the early evening.\",\"I spent 11 talking to Claire, Piper, Piper on various topics in the early evening.\"\n10657,2013/02/22,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n10658,2013/02/22,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n10659,2013/02/23,\"I bought some strawberries, peaches, mango juice, milk, shampoo, paper towel online.\",\"I bought some strawberries, peaches, mango juice, milk, shampoo, paper towel online.\"\n10660,2013/02/23,I did HIIT on 2013/02/23.,I did HIIT on 2013/02/23.\n10661,2013/02/23,\"I had breakfast with Andrew, Kayden, Emily. I ate oatmeal.\",\"I had breakfast with Andrew, Kayden, Emily. I ate oatmeal.\"\n10662,2013/02/23,\"I had fish and chips for lunch with Carter, Andrew, Kayden, Emily\",\"I had fish and chips for lunch with Carter, Andrew, Kayden, Emily\"\n10663,2013/02/23,I had dinner with Kayden. I ate tacos.,I had dinner with Kayden. I ate tacos.\n10664,2013/02/23,\"I spent 6 talking to Olivia, Piper, Nora, Eva on various topics in the early evening.\",\"I spent 6 talking to Olivia, Piper, Nora, Eva on various topics in the early evening.\"\n10665,2013/02/23,\"I talked to Layla, Hazel, Lydia for 54 minutes in the early afternoon.\",\"I talked to Layla, Hazel, Lydia for 54 minutes in the early afternoon.\"\n10666,2013/02/23,I talked to Piper for 50 minutes in the late afternoon.,I talked to Piper for 50 minutes in the late afternoon.\n10667,2013/02/23,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n10668,2013/02/23,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n10669,2013/02/24,\"I spent time yoga on 2013/02/24 with Avery, Nora, Layla.\",\"I spent time yoga on 2013/02/24 with Avery, Nora, Layla.\"\n10670,2013/02/24,I had peanut-butter-jam for breakfast with Willow,I had peanut-butter-jam for breakfast with Willow\n10671,2013/02/24,\"I had tacos for lunch with Andrew, Kayden\",\"I had tacos for lunch with Andrew, Kayden\"\n10672,2013/02/24,\"I had dinner with Carter, Andrew, Emily, Kayden. I ate indian food.\",\"I had dinner with Carter, Andrew, Emily, Kayden. I ate indian food.\"\n10673,2013/02/24,I spent 40 talking to Eva on various topics in the late afternoon.,I spent 40 talking to Eva on various topics in the late afternoon.\n10674,2013/02/24,\"I talked to Hazel, Lydia for 18 minutes during lunch hours.\",\"I talked to Hazel, Lydia for 18 minutes during lunch hours.\"\n10675,2013/02/24,I spent 42 talking to Rylee on various topics in the early afternoon.,I spent 42 talking to Rylee on various topics in the early afternoon.\n10676,2013/02/24,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n10677,2013/02/24,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n10678,2013/02/25,I did biking on 2013/02/25.,I did biking on 2013/02/25.\n10679,2013/02/25,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n10680,2013/02/25,I prepare pasta for lunch.,I prepare pasta for lunch.\n10681,2013/02/25,I ate pasta for dinner.,I ate pasta for dinner.\n10682,2013/02/25,I spent 43 talking to Nevaeh on various topics in the early evening.,I spent 43 talking to Nevaeh on various topics in the early evening.\n10683,2013/02/25,\"I talked to Nora, Lydia, Eva for 49 minutes in the late afternoon.\",\"I talked to Nora, Lydia, Eva for 49 minutes in the late afternoon.\"\n10684,2013/02/25,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n10685,2013/02/25,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n10686,2013/02/26,I did running on 2013/02/26.,I did running on 2013/02/26.\n10687,2013/02/26,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n10688,2013/02/26,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n10689,2013/02/26,I prepare pasta for dinner.,I prepare pasta for dinner.\n10690,2013/02/26,\"I talked to Hazel, Nora for 43 minutes late in the evening.\",\"I talked to Hazel, Nora for 43 minutes late in the evening.\"\n10691,2013/02/26,I spent 18 talking to Piper on various topics in the early evening.,I spent 18 talking to Piper on various topics in the early evening.\n10692,2013/02/26,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n10693,2013/02/26,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n10694,2013/02/27,\"I went grocery shopping. I bought some watermelons, oranges, chocolate milk, sports drinks, and mouthwash, facial wash, toothbrush\",\"I went grocery shopping. I bought some watermelons, oranges, chocolate milk, sports drinks, and mouthwash, facial wash, toothbrush\"\n10695,2013/02/27,I did swimming on 2013/02/27.,I did swimming on 2013/02/27.\n10696,2013/02/27,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n10697,2013/02/27,\"I had lunch with Nora, Claire. I ate sushi.\",\"I had lunch with Nora, Claire. I ate sushi.\"\n10698,2013/02/27,\"I had dinner with Emily, Andrew. I ate tacos.\",\"I had dinner with Emily, Andrew. I ate tacos.\"\n10699,2013/02/27,\"I spent 35 talking to Kinsley, Nevaeh on various topics in the early evening.\",\"I spent 35 talking to Kinsley, Nevaeh on various topics in the early evening.\"\n10700,2013/02/27,\"I talked to Layla, Piper, Piper, Claire for 25 minutes in the early afternoon.\",\"I talked to Layla, Piper, Piper, Claire for 25 minutes in the early afternoon.\"\n10701,2013/02/27,I spent 54 talking to Piper on various topics in the early afternoon.,I spent 54 talking to Piper on various topics in the early afternoon.\n10702,2013/02/27,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n10703,2013/02/27,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n10704,2013/02/28,I did weight lifting on 2013/02/28.,I did weight lifting on 2013/02/28.\n10705,2013/02/28,\"I had cereals for breakfast with Andrew, Kayden\",\"I had cereals for breakfast with Andrew, Kayden\"\n10706,2013/02/28,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n10707,2013/02/28,\"I had dinner with Carter, Emily. I ate indian food.\",\"I had dinner with Carter, Emily. I ate indian food.\"\n10708,2013/02/28,\"I talked to Avery, Piper for 27 minutes in the late afternoon.\",\"I talked to Avery, Piper for 27 minutes in the late afternoon.\"\n10709,2013/02/28,\"I spent 52 talking to Kinsley, Layla on various topics during lunch hours.\",\"I spent 52 talking to Kinsley, Layla on various topics during lunch hours.\"\n10710,2013/02/28,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n10711,2013/02/28,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n10712,2013/03/01,I did swimming on 2013/03/01.,I did swimming on 2013/03/01.\n10713,2013/03/01,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n10714,2013/03/01,\"I had lunch with Layla, Claire, Nevaeh, Avery, Eva, Piper, Hazel. I ate a burger.\",\"I had lunch with Layla, Claire, Nevaeh, Avery, Eva, Piper, Hazel. I ate a burger.\"\n10715,2013/03/01,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n10716,2013/03/01,I spent 8 talking to Hazel on various topics in the morning.,I spent 8 talking to Hazel on various topics in the morning.\n10717,2013/03/01,\"I talked to Hazel, Nora, Eva, Piper for 53 minutes in the early afternoon.\",\"I talked to Hazel, Nora, Eva, Piper for 53 minutes in the early afternoon.\"\n10718,2013/03/01,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n10719,2013/03/01,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n10720,2013/03/02,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n10721,2013/03/02,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n10722,2013/03/02,\"I had sushi for dinner with Andrew, Carter\",\"I had sushi for dinner with Andrew, Carter\"\n10723,2013/03/02,\"I talked to Olivia, Hazel for 54 minutes during lunch hours.\",\"I talked to Olivia, Hazel for 54 minutes during lunch hours.\"\n10724,2013/03/02,\"I spent 40 talking to Avery, Claire, Rylee, Hazel on various topics in the early afternoon.\",\"I spent 40 talking to Avery, Claire, Rylee, Hazel on various topics in the early afternoon.\"\n10725,2013/03/02,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n10726,2013/03/02,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n10727,2013/03/03,I went on a date with Dominic on 2013/03/03 at a boba shop,I went on a date with Dominic on 2013/03/03 at a boba shop\n10728,2013/03/03,I did hiking on 2013/03/03.,I did hiking on 2013/03/03.\n10729,2013/03/03,I had breakfast with Avery. I ate pancakes.,I had breakfast with Avery. I ate pancakes.\n10730,2013/03/03,\"I had a burger for lunch with Kayden, Andrew, Carter, Emily\",\"I had a burger for lunch with Kayden, Andrew, Carter, Emily\"\n10731,2013/03/03,\"I had dinner with Emily, Kayden, Carter, Andrew. I ate sushi.\",\"I had dinner with Emily, Kayden, Carter, Andrew. I ate sushi.\"\n10732,2013/03/03,I spent 24 talking to Piper on various topics in the morning.,I spent 24 talking to Piper on various topics in the morning.\n10733,2013/03/03,\"I spent 10 talking to Hazel, Layla, Olivia, Eva on various topics late in the evening.\",\"I spent 10 talking to Hazel, Layla, Olivia, Eva on various topics late in the evening.\"\n10734,2013/03/03,\"I spent 41 talking to Lydia, Rylee, Layla, Avery on various topics in the morning.\",\"I spent 41 talking to Lydia, Rylee, Layla, Avery on various topics in the morning.\"\n10735,2013/03/03,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n10736,2013/03/03,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n10737,2013/03/04,I did hiking on 2013/03/04.,I did hiking on 2013/03/04.\n10738,2013/03/04,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n10739,2013/03/04,I had fish and chips for lunch with Andrew,I had fish and chips for lunch with Andrew\n10740,2013/03/04,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n10741,2013/03/04,\"I talked to Lydia, Nora, Eva, Rylee for 5 minutes in the early afternoon.\",\"I talked to Lydia, Nora, Eva, Rylee for 5 minutes in the early afternoon.\"\n10742,2013/03/04,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n10743,2013/03/04,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n10744,2013/03/05,\"On 2013/03/05, I took Everett on a date to a coffee Shop\",\"On 2013/03/05, I took Everett on a date to a coffee Shop\"\n10745,2013/03/05,I did swimming on 2013/03/05.,I did swimming on 2013/03/05.\n10746,2013/03/05,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n10747,2013/03/05,I ate sandwich for lunch.,I ate sandwich for lunch.\n10748,2013/03/05,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n10749,2013/03/05,\"I talked to Hazel, Nevaeh for 35 minutes in the early evening.\",\"I talked to Hazel, Nevaeh for 35 minutes in the early evening.\"\n10750,2013/03/05,\"I talked to Lydia, Kinsley, Piper, Eva for 37 minutes in the early afternoon.\",\"I talked to Lydia, Kinsley, Piper, Eva for 37 minutes in the early afternoon.\"\n10751,2013/03/05,I talked to Hazel for 29 minutes during lunch hours.,I talked to Hazel for 29 minutes during lunch hours.\n10752,2013/03/05,I talked to Lydia for 15 minutes in the early evening.,I talked to Lydia for 15 minutes in the early evening.\n10753,2013/03/05,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n10754,2013/03/05,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n10755,2013/03/06,I did running on 2013/03/06.,I did running on 2013/03/06.\n10756,2013/03/06,\"I had breakfast with Willow, Avery, Benjamin. I ate cereals.\",\"I had breakfast with Willow, Avery, Benjamin. I ate cereals.\"\n10757,2013/03/06,I ate steak for lunch.,I ate steak for lunch.\n10758,2013/03/06,I had dinner. I ate steak.,I had dinner. I ate steak.\n10759,2013/03/06,\"I spent 22 talking to Olivia, Nevaeh, Piper on various topics in the early evening.\",\"I spent 22 talking to Olivia, Nevaeh, Piper on various topics in the early evening.\"\n10760,2013/03/06,\"I talked to Lydia, Olivia for 5 minutes in the early afternoon.\",\"I talked to Lydia, Olivia for 5 minutes in the early afternoon.\"\n10761,2013/03/06,\"I talked to Rylee, Lydia for 42 minutes during lunch hours.\",\"I talked to Rylee, Lydia for 42 minutes during lunch hours.\"\n10762,2013/03/06,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n10763,2013/03/06,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n10764,2013/03/07,I did hiking on 2013/03/07.,I did hiking on 2013/03/07.\n10765,2013/03/07,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n10766,2013/03/07,I had sandwich for lunch with Benjamin,I had sandwich for lunch with Benjamin\n10767,2013/03/07,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n10768,2013/03/07,\"I spent 49 talking to Nevaeh, Piper, Hazel on various topics in the late afternoon.\",\"I spent 49 talking to Nevaeh, Piper, Hazel on various topics in the late afternoon.\"\n10769,2013/03/07,\"I talked to Kinsley, Eva for 44 minutes in the late afternoon.\",\"I talked to Kinsley, Eva for 44 minutes in the late afternoon.\"\n10770,2013/03/07,\"I spent 39 talking to Piper, Claire, Lydia on various topics in the late afternoon.\",\"I spent 39 talking to Piper, Claire, Lydia on various topics in the late afternoon.\"\n10771,2013/03/07,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n10772,2013/03/07,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n10773,2013/03/08,I did biking on 2013/03/08.,I did biking on 2013/03/08.\n10774,2013/03/08,\"I had breakfast with Emily, Andrew. I ate cereals.\",\"I had breakfast with Emily, Andrew. I ate cereals.\"\n10775,2013/03/08,I ate chinese food for lunch.,I ate chinese food for lunch.\n10776,2013/03/08,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n10777,2013/03/08,\"I spent 6 talking to Hazel, Avery, Kinsley on various topics in the early evening.\",\"I spent 6 talking to Hazel, Avery, Kinsley on various topics in the early evening.\"\n10778,2013/03/08,\"I talked to Olivia, Piper for 14 minutes during lunch hours.\",\"I talked to Olivia, Piper for 14 minutes during lunch hours.\"\n10779,2013/03/08,\"I talked to Hazel, Nora for 20 minutes during lunch hours.\",\"I talked to Hazel, Nora for 20 minutes during lunch hours.\"\n10780,2013/03/08,\"I spent 7 talking to Nevaeh, Hazel, Claire on various topics in the early afternoon.\",\"I spent 7 talking to Nevaeh, Hazel, Claire on various topics in the early afternoon.\"\n10781,2013/03/08,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n10782,2013/03/08,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n10783,2013/03/09,I really enjoyed yoga on 2013/03/09,I really enjoyed yoga on 2013/03/09\n10784,2013/03/09,I did hiking on 2013/03/09.,I did hiking on 2013/03/09.\n10785,2013/03/09,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n10786,2013/03/09,I ate sandwich for lunch.,I ate sandwich for lunch.\n10787,2013/03/09,\"I had dinner with Carter, Andrew, Emily. I ate steak.\",\"I had dinner with Carter, Andrew, Emily. I ate steak.\"\n10788,2013/03/09,\"I talked to Rylee, Nora for 39 minutes late in the evening.\",\"I talked to Rylee, Nora for 39 minutes late in the evening.\"\n10789,2013/03/09,\"I talked to Eva, Rylee for 10 minutes in the early evening.\",\"I talked to Eva, Rylee for 10 minutes in the early evening.\"\n10790,2013/03/09,\"I talked to Eva, Piper, Kinsley, Layla for 39 minutes late in the evening.\",\"I talked to Eva, Piper, Kinsley, Layla for 39 minutes late in the evening.\"\n10791,2013/03/09,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n10792,2013/03/09,I spent 40 minutes watching a movie on TV today.,I spent 40 minutes watching a movie on TV today.\n10793,2013/03/10,I did swimming on 2013/03/10.,I did swimming on 2013/03/10.\n10794,2013/03/10,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n10795,2013/03/10,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n10796,2013/03/10,\"I had dinner with Rylee, Olivia, Hazel, Nora. I ate fish and chips.\",\"I had dinner with Rylee, Olivia, Hazel, Nora. I ate fish and chips.\"\n10797,2013/03/10,\"I spent 47 talking to Eva, Lydia on various topics in the early afternoon.\",\"I spent 47 talking to Eva, Lydia on various topics in the early afternoon.\"\n10798,2013/03/10,\"I talked to Hazel, Layla, Olivia for 20 minutes in the late afternoon.\",\"I talked to Hazel, Layla, Olivia for 20 minutes in the late afternoon.\"\n10799,2013/03/10,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n10800,2013/03/10,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n10801,2013/03/11,\"I bought some apples, tea, chocolate milk, sports drinks, shampoo, mouthwash from the grocery store. I saw Layla, Lydia at the grocery store.\",\"I bought some apples, tea, chocolate milk, sports drinks, shampoo, mouthwash from the grocery store. I saw Layla, Lydia at the grocery store.\"\n10802,2013/03/11,I did running on 2013/03/11.,I did running on 2013/03/11.\n10803,2013/03/11,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n10804,2013/03/11,\"I had lunch with Hazel, Layla, Nora, Eva, Claire, Rylee, Avery, Olivia, Nevaeh, Kinsley, Lydia. I ate sushi.\",\"I had lunch with Hazel, Layla, Nora, Eva, Claire, Rylee, Avery, Olivia, Nevaeh, Kinsley, Lydia. I ate sushi.\"\n10805,2013/03/11,I ate steak for dinner.,I ate steak for dinner.\n10806,2013/03/11,\"I spent 45 talking to Olivia, Rylee, Piper, Eva on various topics in the morning.\",\"I spent 45 talking to Olivia, Rylee, Piper, Eva on various topics in the morning.\"\n10807,2013/03/11,\"I talked to Piper, Kinsley for 14 minutes in the late afternoon.\",\"I talked to Piper, Kinsley for 14 minutes in the late afternoon.\"\n10808,2013/03/11,\"I talked to Claire, Lydia, Nora, Rylee for 7 minutes in the early evening.\",\"I talked to Claire, Lydia, Nora, Rylee for 7 minutes in the early evening.\"\n10809,2013/03/11,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n10810,2013/03/11,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n10811,2013/03/12,I did biking on 2013/03/12.,I did biking on 2013/03/12.\n10812,2013/03/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n10813,2013/03/12,\"I had lunch with Andrew, Carter, Emily. I ate chinese food.\",\"I had lunch with Andrew, Carter, Emily. I ate chinese food.\"\n10814,2013/03/12,\"I had dinner with Hazel, Avery, Rylee, Layla, Kinsley, Piper, Piper, Nevaeh, Lydia, Eva, Olivia, Nora. I ate steak.\",\"I had dinner with Hazel, Avery, Rylee, Layla, Kinsley, Piper, Piper, Nevaeh, Lydia, Eva, Olivia, Nora. I ate steak.\"\n10815,2013/03/12,\"I spent 19 talking to Hazel, Avery on various topics in the morning.\",\"I spent 19 talking to Hazel, Avery on various topics in the morning.\"\n10816,2013/03/12,\"I talked to Nevaeh, Hazel, Piper, Avery for 8 minutes in the late afternoon.\",\"I talked to Nevaeh, Hazel, Piper, Avery for 8 minutes in the late afternoon.\"\n10817,2013/03/12,\"I talked to Lydia, Eva, Kinsley for 45 minutes in the late afternoon.\",\"I talked to Lydia, Eva, Kinsley for 45 minutes in the late afternoon.\"\n10818,2013/03/12,\"I talked to Nora, Hazel, Piper for 13 minutes in the late afternoon.\",\"I talked to Nora, Hazel, Piper for 13 minutes in the late afternoon.\"\n10819,2013/03/12,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n10820,2013/03/12,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n10821,2013/03/13,I did hiking on 2013/03/13.,I did hiking on 2013/03/13.\n10822,2013/03/13,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n10823,2013/03/13,\"I had pasta for lunch with Emily, Kayden, Andrew\",\"I had pasta for lunch with Emily, Kayden, Andrew\"\n10824,2013/03/13,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n10825,2013/03/13,\"I talked to Claire, Eva, Nevaeh for 11 minutes in the morning.\",\"I talked to Claire, Eva, Nevaeh for 11 minutes in the morning.\"\n10826,2013/03/13,I spent 34 talking to Nevaeh on various topics late in the evening.,I spent 34 talking to Nevaeh on various topics late in the evening.\n10827,2013/03/13,\"I talked to Kinsley, Nevaeh for 37 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh for 37 minutes late in the evening.\"\n10828,2013/03/13,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n10829,2013/03/13,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n10830,2013/03/14,I went on a date with Jack on 2013/03/14 at a boba shop,I went on a date with Jack on 2013/03/14 at a boba shop\n10831,2013/03/14,I did biking on 2013/03/14.,I did biking on 2013/03/14.\n10832,2013/03/14,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n10833,2013/03/14,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n10834,2013/03/14,\"I had pasta for dinner with Emily, Carter, Andrew, Kayden\",\"I had pasta for dinner with Emily, Carter, Andrew, Kayden\"\n10835,2013/03/14,\"I spent 15 talking to Eva, Kinsley on various topics in the early afternoon.\",\"I spent 15 talking to Eva, Kinsley on various topics in the early afternoon.\"\n10836,2013/03/14,\"I spent 31 talking to Eva, Hazel, Kinsley, Lydia on various topics during lunch hours.\",\"I spent 31 talking to Eva, Hazel, Kinsley, Lydia on various topics during lunch hours.\"\n10837,2013/03/14,I spent 17 talking to Piper on various topics late in the evening.,I spent 17 talking to Piper on various topics late in the evening.\n10838,2013/03/14,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n10839,2013/03/14,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n10840,2013/03/15,\"On 2013/03/15, I took Kinsley on a date to a restaurant\",\"On 2013/03/15, I took Kinsley on a date to a restaurant\"\n10841,2013/03/15,I did swimming on 2013/03/15.,I did swimming on 2013/03/15.\n10842,2013/03/15,\"I had breakfast with Nora, Layla, Avery, Kinsley, Olivia, Eva, Piper. I ate pancakes.\",\"I had breakfast with Nora, Layla, Avery, Kinsley, Olivia, Eva, Piper. I ate pancakes.\"\n10843,2013/03/15,I ate pasta for lunch.,I ate pasta for lunch.\n10844,2013/03/15,\"I had indian food for dinner with Kayden, Andrew, Carter\",\"I had indian food for dinner with Kayden, Andrew, Carter\"\n10845,2013/03/15,\"I talked to Kinsley, Claire for 12 minutes late in the evening.\",\"I talked to Kinsley, Claire for 12 minutes late in the evening.\"\n10846,2013/03/15,\"I spent 20 talking to Kinsley, Piper on various topics late in the evening.\",\"I spent 20 talking to Kinsley, Piper on various topics late in the evening.\"\n10847,2013/03/15,\"I talked to Rylee, Nora for 47 minutes late in the evening.\",\"I talked to Rylee, Nora for 47 minutes late in the evening.\"\n10848,2013/03/15,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n10849,2013/03/15,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n10850,2013/03/16,I did running on 2013/03/16.,I did running on 2013/03/16.\n10851,2013/03/16,\"I had toast and cheese for breakfast with Kayden, Emily\",\"I had toast and cheese for breakfast with Kayden, Emily\"\n10852,2013/03/16,I had a burger for lunch with Andrew,I had a burger for lunch with Andrew\n10853,2013/03/16,\"I had dinner with Jackson, Willow. I ate sandwich.\",\"I had dinner with Jackson, Willow. I ate sandwich.\"\n10854,2013/03/16,I spent 43 talking to Piper on various topics late in the evening.,I spent 43 talking to Piper on various topics late in the evening.\n10855,2013/03/16,\"I spent 10 talking to Nevaeh, Layla on various topics in the early afternoon.\",\"I spent 10 talking to Nevaeh, Layla on various topics in the early afternoon.\"\n10856,2013/03/16,I talked to Piper for 17 minutes late in the evening.,I talked to Piper for 17 minutes late in the evening.\n10857,2013/03/16,\"I talked to Piper, Lydia, Piper, Avery for 12 minutes during lunch hours.\",\"I talked to Piper, Lydia, Piper, Avery for 12 minutes during lunch hours.\"\n10858,2013/03/16,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n10859,2013/03/16,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n10860,2013/03/17,I did weight lifting on 2013/03/17.,I did weight lifting on 2013/03/17.\n10861,2013/03/17,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n10862,2013/03/17,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n10863,2013/03/17,\"I had chinese food for dinner with Claire, Rylee\",\"I had chinese food for dinner with Claire, Rylee\"\n10864,2013/03/17,I spent 7 talking to Piper on various topics in the morning.,I spent 7 talking to Piper on various topics in the morning.\n10865,2013/03/17,\"I spent 10 talking to Piper, Rylee on various topics in the morning.\",\"I spent 10 talking to Piper, Rylee on various topics in the morning.\"\n10866,2013/03/17,\"I talked to Nora, Eva for 40 minutes late in the evening.\",\"I talked to Nora, Eva for 40 minutes late in the evening.\"\n10867,2013/03/17,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n10868,2013/03/17,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n10869,2013/03/18,\"I went grocery shopping. I bought some apples, mango juice, soda, and toothpaste\",\"I went grocery shopping. I bought some apples, mango juice, soda, and toothpaste\"\n10870,2013/03/18,I did running on 2013/03/18.,I did running on 2013/03/18.\n10871,2013/03/18,\"I had breakfast with Benjamin, Jackson, Willow, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Jackson, Willow, Avery. I ate peanut-butter-jam.\"\n10872,2013/03/18,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n10873,2013/03/18,I ate chinese food for dinner.,I ate chinese food for dinner.\n10874,2013/03/18,\"I talked to Claire, Layla, Lydia, Piper for 12 minutes in the morning.\",\"I talked to Claire, Layla, Lydia, Piper for 12 minutes in the morning.\"\n10875,2013/03/18,\"I talked to Lydia, Piper, Eva for 54 minutes in the early evening.\",\"I talked to Lydia, Piper, Eva for 54 minutes in the early evening.\"\n10876,2013/03/18,\"I talked to Nora, Layla for 40 minutes in the early evening.\",\"I talked to Nora, Layla for 40 minutes in the early evening.\"\n10877,2013/03/18,\"I talked to Eva, Nevaeh, Claire for 29 minutes in the late afternoon.\",\"I talked to Eva, Nevaeh, Claire for 29 minutes in the late afternoon.\"\n10878,2013/03/18,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n10879,2013/03/18,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n10880,2013/03/19,I did weight lifting on 2013/03/19.,I did weight lifting on 2013/03/19.\n10881,2013/03/19,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n10882,2013/03/19,I had lunch with Carter. I ate indian food.,I had lunch with Carter. I ate indian food.\n10883,2013/03/19,\"I had dinner with Carter, Emily. I ate sushi.\",\"I had dinner with Carter, Emily. I ate sushi.\"\n10884,2013/03/19,I spent 28 talking to Hazel on various topics late in the evening.,I spent 28 talking to Hazel on various topics late in the evening.\n10885,2013/03/19,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n10886,2013/03/19,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n10887,2013/03/20,I did HIIT on 2013/03/20.,I did HIIT on 2013/03/20.\n10888,2013/03/20,\"I had cereals for breakfast with Eva, Rylee, Kinsley\",\"I had cereals for breakfast with Eva, Rylee, Kinsley\"\n10889,2013/03/20,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n10890,2013/03/20,I prepare a burger for dinner.,I prepare a burger for dinner.\n10891,2013/03/20,I talked to Kinsley for 30 minutes in the early evening.,I talked to Kinsley for 30 minutes in the early evening.\n10892,2013/03/20,I talked to Nevaeh for 9 minutes in the early evening.,I talked to Nevaeh for 9 minutes in the early evening.\n10893,2013/03/20,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n10894,2013/03/20,I watched news for 52 minutes on TV today.,I watched news for 52 minutes on TV today.\n10895,2013/03/21,\"I went grocery shopping with Hazel, Eva, Avery, Lydia, Piper, Layla. I bought some strawberries, pears, bananas, blackberries, chocolate milk, orange juice, coffee, and mouth wash, toothpaste, body lotion, shampoo\",\"I went grocery shopping with Hazel, Eva, Avery, Lydia, Piper, Layla. I bought some strawberries, pears, bananas, blackberries, chocolate milk, orange juice, coffee, and mouth wash, toothpaste, body lotion, shampoo\"\n10896,2013/03/21,I did hiking on 2013/03/21.,I did hiking on 2013/03/21.\n10897,2013/03/21,\"I had cereals for breakfast with Kayden, Andrew\",\"I had cereals for breakfast with Kayden, Andrew\"\n10898,2013/03/21,\"I had lunch with Emily, Carter. I ate sushi.\",\"I had lunch with Emily, Carter. I ate sushi.\"\n10899,2013/03/21,I ate chinese food for dinner.,I ate chinese food for dinner.\n10900,2013/03/21,\"I spent 43 talking to Claire, Nora on various topics in the early evening.\",\"I spent 43 talking to Claire, Nora on various topics in the early evening.\"\n10901,2013/03/21,I spent 24 talking to Olivia on various topics in the early afternoon.,I spent 24 talking to Olivia on various topics in the early afternoon.\n10902,2013/03/21,I spent 19 talking to Rylee on various topics late in the evening.,I spent 19 talking to Rylee on various topics late in the evening.\n10903,2013/03/21,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n10904,2013/03/21,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n10905,2013/03/22,\"I bought some cherres, peaches, guava juice, apple juice, conditioner online.\",\"I bought some cherres, peaches, guava juice, apple juice, conditioner online.\"\n10906,2013/03/22,I did hiking on 2013/03/22.,I did hiking on 2013/03/22.\n10907,2013/03/22,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n10908,2013/03/22,I had lunch. I ate steak.,I had lunch. I ate steak.\n10909,2013/03/22,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n10910,2013/03/22,\"I talked to Eva, Olivia, Nora, Kinsley for 26 minutes in the early afternoon.\",\"I talked to Eva, Olivia, Nora, Kinsley for 26 minutes in the early afternoon.\"\n10911,2013/03/22,I spent 14 talking to Avery on various topics in the early evening.,I spent 14 talking to Avery on various topics in the early evening.\n10912,2013/03/22,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n10913,2013/03/22,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n10914,2013/03/23,I did running on 2013/03/23.,I did running on 2013/03/23.\n10915,2013/03/23,\"I had breakfast with Hazel, Lydia, Eva. I ate oatmeal.\",\"I had breakfast with Hazel, Lydia, Eva. I ate oatmeal.\"\n10916,2013/03/23,\"I had lunch with Emily, Andrew, Kayden. I ate chinese food.\",\"I had lunch with Emily, Andrew, Kayden. I ate chinese food.\"\n10917,2013/03/23,\"I had dinner with Nevaeh, Lydia. I ate steak.\",\"I had dinner with Nevaeh, Lydia. I ate steak.\"\n10918,2013/03/23,I talked to Layla for 34 minutes during lunch hours.,I talked to Layla for 34 minutes during lunch hours.\n10919,2013/03/23,\"I spent 18 talking to Nora, Piper, Claire on various topics in the early afternoon.\",\"I spent 18 talking to Nora, Piper, Claire on various topics in the early afternoon.\"\n10920,2013/03/23,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n10921,2013/03/23,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n10922,2013/03/24,I really enjoyed meditation on 2013/03/24,I really enjoyed meditation on 2013/03/24\n10923,2013/03/24,I did weight lifting on 2013/03/24.,I did weight lifting on 2013/03/24.\n10924,2013/03/24,I had breakfast with Jackson. I ate peanut-butter-jam.,I had breakfast with Jackson. I ate peanut-butter-jam.\n10925,2013/03/24,I had lunch with Carter. I ate sushi.,I had lunch with Carter. I ate sushi.\n10926,2013/03/24,I prepare pasta for dinner.,I prepare pasta for dinner.\n10927,2013/03/24,\"I talked to Nevaeh, Claire, Kinsley, Piper for 34 minutes in the late afternoon.\",\"I talked to Nevaeh, Claire, Kinsley, Piper for 34 minutes in the late afternoon.\"\n10928,2013/03/24,\"I spent 11 talking to Piper, Olivia on various topics in the early afternoon.\",\"I spent 11 talking to Piper, Olivia on various topics in the early afternoon.\"\n10929,2013/03/24,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n10930,2013/03/24,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n10931,2013/03/25,I did weight lifting on 2013/03/25.,I did weight lifting on 2013/03/25.\n10932,2013/03/25,\"I had cereals for breakfast with Kayden, Carter, Andrew\",\"I had cereals for breakfast with Kayden, Carter, Andrew\"\n10933,2013/03/25,I prepare pasta for lunch.,I prepare pasta for lunch.\n10934,2013/03/25,I ate sushi for dinner.,I ate sushi for dinner.\n10935,2013/03/25,I spent 30 talking to Hazel on various topics late in the evening.,I spent 30 talking to Hazel on various topics late in the evening.\n10936,2013/03/25,\"I talked to Piper, Piper, Eva, Olivia for 18 minutes late in the evening.\",\"I talked to Piper, Piper, Eva, Olivia for 18 minutes late in the evening.\"\n10937,2013/03/25,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n10938,2013/03/25,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n10939,2013/03/26,I did HIIT on 2013/03/26.,I did HIIT on 2013/03/26.\n10940,2013/03/26,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n10941,2013/03/26,I prepare a burger for lunch.,I prepare a burger for lunch.\n10942,2013/03/26,\"I had dinner with Carter, Kayden, Andrew, Emily. I ate chinese food.\",\"I had dinner with Carter, Kayden, Andrew, Emily. I ate chinese food.\"\n10943,2013/03/26,I spent 5 talking to Layla on various topics late in the evening.,I spent 5 talking to Layla on various topics late in the evening.\n10944,2013/03/26,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n10945,2013/03/26,I spent 33 minutes watching a tv series on TV today.,I spent 33 minutes watching a tv series on TV today.\n10946,2013/03/27,\"I bought some clementines, tea, mouth wash, facial wash, paper towel online.\",\"I bought some clementines, tea, mouth wash, facial wash, paper towel online.\"\n10947,2013/03/27,I did weight lifting on 2013/03/27.,I did weight lifting on 2013/03/27.\n10948,2013/03/27,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n10949,2013/03/27,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n10950,2013/03/27,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n10951,2013/03/27,I talked to Piper for 28 minutes in the early afternoon.,I talked to Piper for 28 minutes in the early afternoon.\n10952,2013/03/27,I talked to Avery for 24 minutes late in the evening.,I talked to Avery for 24 minutes late in the evening.\n10953,2013/03/27,\"I talked to Rylee, Hazel, Layla for 44 minutes in the late afternoon.\",\"I talked to Rylee, Hazel, Layla for 44 minutes in the late afternoon.\"\n10954,2013/03/27,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n10955,2013/03/27,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n10956,2013/03/28,I went on a date with Elijah on 2013/03/28 at a restaurant,I went on a date with Elijah on 2013/03/28 at a restaurant\n10957,2013/03/28,I did running on 2013/03/28.,I did running on 2013/03/28.\n10958,2013/03/28,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n10959,2013/03/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n10960,2013/03/28,\"I had indian food for dinner with Andrew, Emily\",\"I had indian food for dinner with Andrew, Emily\"\n10961,2013/03/28,\"I talked to Claire, Piper, Hazel for 42 minutes in the morning.\",\"I talked to Claire, Piper, Hazel for 42 minutes in the morning.\"\n10962,2013/03/28,\"I spent 34 talking to Kinsley, Olivia, Eva, Piper on various topics in the late afternoon.\",\"I spent 34 talking to Kinsley, Olivia, Eva, Piper on various topics in the late afternoon.\"\n10963,2013/03/28,\"I talked to Layla, Piper, Piper, Rylee for 38 minutes in the early evening.\",\"I talked to Layla, Piper, Piper, Rylee for 38 minutes in the early evening.\"\n10964,2013/03/28,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n10965,2013/03/28,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n10966,2013/03/29,I did biking on 2013/03/29.,I did biking on 2013/03/29.\n10967,2013/03/29,\"I had breakfast with Andrew, Kayden. I ate oatmeal.\",\"I had breakfast with Andrew, Kayden. I ate oatmeal.\"\n10968,2013/03/29,I had tacos for lunch with Kayden,I had tacos for lunch with Kayden\n10969,2013/03/29,I prepare sushi for dinner.,I prepare sushi for dinner.\n10970,2013/03/29,\"I spent 55 talking to Claire, Lydia, Layla, Rylee on various topics during lunch hours.\",\"I spent 55 talking to Claire, Lydia, Layla, Rylee on various topics during lunch hours.\"\n10971,2013/03/29,\"I spent 16 talking to Claire, Nevaeh, Piper, Nora on various topics in the early evening.\",\"I spent 16 talking to Claire, Nevaeh, Piper, Nora on various topics in the early evening.\"\n10972,2013/03/29,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n10973,2013/03/29,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n10974,2013/03/30,\"On 2013/03/30, I took Jane on a date to a park\",\"On 2013/03/30, I took Jane on a date to a park\"\n10975,2013/03/30,\"I bought some guava, apricots, nectarines, oranges, mango juice, tea, body lotion, mouth wash, mouthwash online.\",\"I bought some guava, apricots, nectarines, oranges, mango juice, tea, body lotion, mouth wash, mouthwash online.\"\n10976,2013/03/30,I did swimming on 2013/03/30.,I did swimming on 2013/03/30.\n10977,2013/03/30,\"I had breakfast with Nora, Nevaeh, Piper, Eva, Piper, Lydia, Olivia, Hazel, Rylee, Kinsley, Layla. I ate toast and cheese.\",\"I had breakfast with Nora, Nevaeh, Piper, Eva, Piper, Lydia, Olivia, Hazel, Rylee, Kinsley, Layla. I ate toast and cheese.\"\n10978,2013/03/30,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n10979,2013/03/30,I prepare sushi for dinner.,I prepare sushi for dinner.\n10980,2013/03/30,I talked to Eva for 48 minutes in the morning.,I talked to Eva for 48 minutes in the morning.\n10981,2013/03/30,I talked to Piper for 21 minutes in the morning.,I talked to Piper for 21 minutes in the morning.\n10982,2013/03/30,\"I spent 11 talking to Hazel, Layla on various topics in the early evening.\",\"I spent 11 talking to Hazel, Layla on various topics in the early evening.\"\n10983,2013/03/30,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n10984,2013/03/30,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n10985,2013/03/31,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n10986,2013/03/31,I ate pasta for lunch.,I ate pasta for lunch.\n10987,2013/03/31,I ate a burger for dinner.,I ate a burger for dinner.\n10988,2013/03/31,\"I talked to Rylee, Kinsley, Piper for 10 minutes in the late afternoon.\",\"I talked to Rylee, Kinsley, Piper for 10 minutes in the late afternoon.\"\n10989,2013/03/31,\"I talked to Rylee, Piper for 7 minutes during lunch hours.\",\"I talked to Rylee, Piper for 7 minutes during lunch hours.\"\n10990,2013/03/31,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n10991,2013/03/31,I spent 17 minutes watching a tv series on TV today.,I spent 17 minutes watching a tv series on TV today.\n10992,2013/04/01,I spent some time learning a language on 2013/04/01.,I spent some time learning a language on 2013/04/01.\n10993,2013/04/01,I did hiking on 2013/04/01.,I did hiking on 2013/04/01.\n10994,2013/04/01,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n10995,2013/04/01,\"I had lunch with Layla, Eva, Avery, Piper, Kinsley, Nora, Lydia, Hazel. I ate steak.\",\"I had lunch with Layla, Eva, Avery, Piper, Kinsley, Nora, Lydia, Hazel. I ate steak.\"\n10996,2013/04/01,I ate sandwich for dinner.,I ate sandwich for dinner.\n10997,2013/04/01,\"I spent 37 talking to Avery, Lydia on various topics in the late afternoon.\",\"I spent 37 talking to Avery, Lydia on various topics in the late afternoon.\"\n10998,2013/04/01,\"I spent 29 talking to Avery, Nevaeh on various topics in the early afternoon.\",\"I spent 29 talking to Avery, Nevaeh on various topics in the early afternoon.\"\n10999,2013/04/01,\"I spent 34 talking to Lydia, Piper on various topics in the early evening.\",\"I spent 34 talking to Lydia, Piper on various topics in the early evening.\"\n11000,2013/04/01,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n11001,2013/04/01,I spent 8 minutes watching a movie on TV today.,I spent 8 minutes watching a movie on TV today.\n11002,2013/04/02,\"I had breakfast with Jackson, Avery, Willow, Benjamin. I ate pancakes.\",\"I had breakfast with Jackson, Avery, Willow, Benjamin. I ate pancakes.\"\n11003,2013/04/02,\"I had fish and chips for lunch with Andrew, Kayden, Emily, Carter\",\"I had fish and chips for lunch with Andrew, Kayden, Emily, Carter\"\n11004,2013/04/02,I prepare sushi for dinner.,I prepare sushi for dinner.\n11005,2013/04/02,\"I talked to Piper, Olivia, Rylee, Claire for 54 minutes during lunch hours.\",\"I talked to Piper, Olivia, Rylee, Claire for 54 minutes during lunch hours.\"\n11006,2013/04/02,\"I talked to Claire, Kinsley, Nora, Rylee for 51 minutes in the early evening.\",\"I talked to Claire, Kinsley, Nora, Rylee for 51 minutes in the early evening.\"\n11007,2013/04/02,I spent 22 talking to Kinsley on various topics during lunch hours.,I spent 22 talking to Kinsley on various topics during lunch hours.\n11008,2013/04/02,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n11009,2013/04/02,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n11010,2013/04/03,I did HIIT on 2013/04/03.,I did HIIT on 2013/04/03.\n11011,2013/04/03,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n11012,2013/04/03,\"I had lunch with Olivia, Hazel, Kinsley. I ate chinese food.\",\"I had lunch with Olivia, Hazel, Kinsley. I ate chinese food.\"\n11013,2013/04/03,I ate chinese food for dinner.,I ate chinese food for dinner.\n11014,2013/04/03,\"I spent 21 talking to Piper, Avery on various topics in the early afternoon.\",\"I spent 21 talking to Piper, Avery on various topics in the early afternoon.\"\n11015,2013/04/03,\"I talked to Claire, Rylee, Avery for 20 minutes during lunch hours.\",\"I talked to Claire, Rylee, Avery for 20 minutes during lunch hours.\"\n11016,2013/04/03,\"I talked to Olivia, Piper, Eva for 49 minutes during lunch hours.\",\"I talked to Olivia, Piper, Eva for 49 minutes during lunch hours.\"\n11017,2013/04/03,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n11018,2013/04/03,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n11019,2013/04/04,\"I spent time learning a language on 2013/04/04 with Piper, Rylee, Lydia.\",\"I spent time learning a language on 2013/04/04 with Piper, Rylee, Lydia.\"\n11020,2013/04/04,I did biking on 2013/04/04.,I did biking on 2013/04/04.\n11021,2013/04/04,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n11022,2013/04/04,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n11023,2013/04/04,I prepare a burger for dinner.,I prepare a burger for dinner.\n11024,2013/04/04,\"I talked to Piper, Hazel, Layla, Lydia for 42 minutes in the early evening.\",\"I talked to Piper, Hazel, Layla, Lydia for 42 minutes in the early evening.\"\n11025,2013/04/04,I talked to Rylee for 31 minutes late in the evening.,I talked to Rylee for 31 minutes late in the evening.\n11026,2013/04/04,I talked to Lydia for 35 minutes late in the evening.,I talked to Lydia for 35 minutes late in the evening.\n11027,2013/04/04,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n11028,2013/04/04,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n11029,2013/04/05,I went for an annual physical checkup on 2013/04/05 at the hospital.,I went for an annual physical checkup on 2013/04/05 at the hospital.\n11030,2013/04/05,I did biking on 2013/04/05.,I did biking on 2013/04/05.\n11031,2013/04/05,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n11032,2013/04/05,I prepare a burger for lunch.,I prepare a burger for lunch.\n11033,2013/04/05,\"I had chinese food for dinner with Lydia, Hazel, Kinsley, Nevaeh, Nora, Avery, Rylee\",\"I had chinese food for dinner with Lydia, Hazel, Kinsley, Nevaeh, Nora, Avery, Rylee\"\n11034,2013/04/05,\"I talked to Nora, Claire, Eva, Olivia for 51 minutes in the early evening.\",\"I talked to Nora, Claire, Eva, Olivia for 51 minutes in the early evening.\"\n11035,2013/04/05,\"I talked to Rylee, Claire, Nevaeh for 36 minutes during lunch hours.\",\"I talked to Rylee, Claire, Nevaeh for 36 minutes during lunch hours.\"\n11036,2013/04/05,I spent 27 talking to Olivia on various topics in the morning.,I spent 27 talking to Olivia on various topics in the morning.\n11037,2013/04/05,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n11038,2013/04/05,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n11039,2013/04/06,\"I bought some raspberries, strawberries, pineapples, orange juice, facial wash, toothbrush online.\",\"I bought some raspberries, strawberries, pineapples, orange juice, facial wash, toothbrush online.\"\n11040,2013/04/06,I did biking on 2013/04/06.,I did biking on 2013/04/06.\n11041,2013/04/06,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n11042,2013/04/06,I ate indian food for lunch.,I ate indian food for lunch.\n11043,2013/04/06,I had dinner with Kayden. I ate sandwich.,I had dinner with Kayden. I ate sandwich.\n11044,2013/04/06,\"I spent 50 talking to Rylee, Nora, Olivia, Hazel on various topics in the morning.\",\"I spent 50 talking to Rylee, Nora, Olivia, Hazel on various topics in the morning.\"\n11045,2013/04/06,I spent 34 talking to Nevaeh on various topics in the early afternoon.,I spent 34 talking to Nevaeh on various topics in the early afternoon.\n11046,2013/04/06,\"I talked to Lydia, Kinsley, Rylee, Piper for 27 minutes in the morning.\",\"I talked to Lydia, Kinsley, Rylee, Piper for 27 minutes in the morning.\"\n11047,2013/04/06,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n11048,2013/04/06,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n11049,2013/04/07,I did biking on 2013/04/07.,I did biking on 2013/04/07.\n11050,2013/04/07,\"I had eggs, sausages, and bread for breakfast with Olivia, Lydia, Nevaeh, Avery, Nora, Layla, Piper, Piper, Eva, Hazel, Rylee, Kinsley, Claire\",\"I had eggs, sausages, and bread for breakfast with Olivia, Lydia, Nevaeh, Avery, Nora, Layla, Piper, Piper, Eva, Hazel, Rylee, Kinsley, Claire\"\n11051,2013/04/07,\"I had lunch with Kayden, Carter. I ate pasta.\",\"I had lunch with Kayden, Carter. I ate pasta.\"\n11052,2013/04/07,\"I had indian food for dinner with Willow, Avery, Benjamin\",\"I had indian food for dinner with Willow, Avery, Benjamin\"\n11053,2013/04/07,\"I spent 20 talking to Lydia, Avery, Claire on various topics in the early afternoon.\",\"I spent 20 talking to Lydia, Avery, Claire on various topics in the early afternoon.\"\n11054,2013/04/07,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n11055,2013/04/07,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n11056,2013/04/08,\"On 2013/04/08, I took Victoria on a date to a restaurant\",\"On 2013/04/08, I took Victoria on a date to a restaurant\"\n11057,2013/04/08,\"I spent time meditation on 2013/04/08 with Nevaeh, Lydia, Avery.\",\"I spent time meditation on 2013/04/08 with Nevaeh, Lydia, Avery.\"\n11058,2013/04/08,I did weight lifting on 2013/04/08.,I did weight lifting on 2013/04/08.\n11059,2013/04/08,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n11060,2013/04/08,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n11061,2013/04/08,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n11062,2013/04/08,\"I talked to Avery, Nevaeh for 9 minutes during lunch hours.\",\"I talked to Avery, Nevaeh for 9 minutes during lunch hours.\"\n11063,2013/04/08,\"I talked to Hazel, Eva, Piper, Avery for 49 minutes in the early evening.\",\"I talked to Hazel, Eva, Piper, Avery for 49 minutes in the early evening.\"\n11064,2013/04/08,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n11065,2013/04/08,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n11066,2013/04/09,I did HIIT on 2013/04/09.,I did HIIT on 2013/04/09.\n11067,2013/04/09,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n11068,2013/04/09,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n11069,2013/04/09,\"I had sandwich for dinner with Andrew, Carter\",\"I had sandwich for dinner with Andrew, Carter\"\n11070,2013/04/09,I spent 12 talking to Lydia on various topics in the early evening.,I spent 12 talking to Lydia on various topics in the early evening.\n11071,2013/04/09,I talked to Piper for 28 minutes during lunch hours.,I talked to Piper for 28 minutes during lunch hours.\n11072,2013/04/09,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n11073,2013/04/09,I watched a tv series for 49 minutes on TV today.,I watched a tv series for 49 minutes on TV today.\n11074,2013/04/10,\"I bought some mangos, nectarines, raspberries, pears, soda, pineapple juice, chocolate milk, toothpaste, shaving cream, mouth wash, conditioner from the grocery store. I saw Andrew, Kayden, Emily at the grocery store.\",\"I bought some mangos, nectarines, raspberries, pears, soda, pineapple juice, chocolate milk, toothpaste, shaving cream, mouth wash, conditioner from the grocery store. I saw Andrew, Kayden, Emily at the grocery store.\"\n11075,2013/04/10,I did biking on 2013/04/10.,I did biking on 2013/04/10.\n11076,2013/04/10,\"I had breakfast with Carter, Kayden. I ate oatmeal.\",\"I had breakfast with Carter, Kayden. I ate oatmeal.\"\n11077,2013/04/10,I had lunch. I ate steak.,I had lunch. I ate steak.\n11078,2013/04/10,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n11079,2013/04/10,\"I spent 37 talking to Hazel, Piper on various topics in the early afternoon.\",\"I spent 37 talking to Hazel, Piper on various topics in the early afternoon.\"\n11080,2013/04/10,\"I spent 7 talking to Avery, Claire, Piper, Hazel on various topics in the late afternoon.\",\"I spent 7 talking to Avery, Claire, Piper, Hazel on various topics in the late afternoon.\"\n11081,2013/04/10,\"I talked to Piper, Eva, Layla, Piper for 52 minutes in the early afternoon.\",\"I talked to Piper, Eva, Layla, Piper for 52 minutes in the early afternoon.\"\n11082,2013/04/10,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n11083,2013/04/10,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n11084,2013/04/11,I did HIIT on 2013/04/11.,I did HIIT on 2013/04/11.\n11085,2013/04/11,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n11086,2013/04/11,I ate indian food for lunch.,I ate indian food for lunch.\n11087,2013/04/11,I prepare steak for dinner.,I prepare steak for dinner.\n11088,2013/04/11,I talked to Kinsley for 33 minutes in the late afternoon.,I talked to Kinsley for 33 minutes in the late afternoon.\n11089,2013/04/11,I talked to Piper for 39 minutes in the morning.,I talked to Piper for 39 minutes in the morning.\n11090,2013/04/11,\"I talked to Kinsley, Layla, Lydia for 18 minutes late in the evening.\",\"I talked to Kinsley, Layla, Lydia for 18 minutes late in the evening.\"\n11091,2013/04/11,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n11092,2013/04/11,I spent 22 minutes watching a movie on TV today.,I spent 22 minutes watching a movie on TV today.\n11093,2013/04/12,\"I went grocery shopping with Kayden. I bought some watermelons, soda, and toothpaste, conditioner, mouth wash\",\"I went grocery shopping with Kayden. I bought some watermelons, soda, and toothpaste, conditioner, mouth wash\"\n11094,2013/04/12,I did HIIT on 2013/04/12.,I did HIIT on 2013/04/12.\n11095,2013/04/12,\"I had breakfast with Avery, Kinsley, Rylee, Hazel, Claire. I ate toast and cheese.\",\"I had breakfast with Avery, Kinsley, Rylee, Hazel, Claire. I ate toast and cheese.\"\n11096,2013/04/12,\"I had lunch with Hazel, Eva, Piper. I ate pasta.\",\"I had lunch with Hazel, Eva, Piper. I ate pasta.\"\n11097,2013/04/12,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n11098,2013/04/12,\"I spent 29 talking to Claire, Lydia, Hazel, Avery on various topics late in the evening.\",\"I spent 29 talking to Claire, Lydia, Hazel, Avery on various topics late in the evening.\"\n11099,2013/04/12,\"I talked to Nevaeh, Avery, Olivia for 20 minutes late in the evening.\",\"I talked to Nevaeh, Avery, Olivia for 20 minutes late in the evening.\"\n11100,2013/04/12,\"I talked to Nevaeh, Rylee, Olivia, Piper for 35 minutes in the early afternoon.\",\"I talked to Nevaeh, Rylee, Olivia, Piper for 35 minutes in the early afternoon.\"\n11101,2013/04/12,I talked to Layla for 9 minutes during lunch hours.,I talked to Layla for 9 minutes during lunch hours.\n11102,2013/04/12,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n11103,2013/04/12,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n11104,2013/04/13,I did running on 2013/04/13.,I did running on 2013/04/13.\n11105,2013/04/13,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n11106,2013/04/13,I had lunch with Carter. I ate pasta.,I had lunch with Carter. I ate pasta.\n11107,2013/04/13,I prepare steak for dinner.,I prepare steak for dinner.\n11108,2013/04/13,\"I spent 23 talking to Avery, Eva, Nora, Rylee on various topics in the late afternoon.\",\"I spent 23 talking to Avery, Eva, Nora, Rylee on various topics in the late afternoon.\"\n11109,2013/04/13,I talked to Nora for 25 minutes in the early evening.,I talked to Nora for 25 minutes in the early evening.\n11110,2013/04/13,\"I talked to Rylee, Avery, Layla for 34 minutes in the early evening.\",\"I talked to Rylee, Avery, Layla for 34 minutes in the early evening.\"\n11111,2013/04/13,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n11112,2013/04/13,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n11113,2013/04/14,I did swimming on 2013/04/14.,I did swimming on 2013/04/14.\n11114,2013/04/14,\"I had cereals for breakfast with Carter, Emily\",\"I had cereals for breakfast with Carter, Emily\"\n11115,2013/04/14,I had lunch. I ate steak.,I had lunch. I ate steak.\n11116,2013/04/14,\"I had chinese food for dinner with Avery, Willow, Benjamin, Jackson\",\"I had chinese food for dinner with Avery, Willow, Benjamin, Jackson\"\n11117,2013/04/14,I spent 40 talking to Nevaeh on various topics in the early evening.,I spent 40 talking to Nevaeh on various topics in the early evening.\n11118,2013/04/14,\"I talked to Nevaeh, Piper for 51 minutes in the morning.\",\"I talked to Nevaeh, Piper for 51 minutes in the morning.\"\n11119,2013/04/14,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n11120,2013/04/14,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n11121,2013/04/15,I really enjoyed learning a language on 2013/04/15,I really enjoyed learning a language on 2013/04/15\n11122,2013/04/15,I did running on 2013/04/15.,I did running on 2013/04/15.\n11123,2013/04/15,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n11124,2013/04/15,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n11125,2013/04/15,I ate a burger for dinner.,I ate a burger for dinner.\n11126,2013/04/15,\"I talked to Piper, Eva, Avery for 18 minutes late in the evening.\",\"I talked to Piper, Eva, Avery for 18 minutes late in the evening.\"\n11127,2013/04/15,I talked to Lydia for 29 minutes in the early evening.,I talked to Lydia for 29 minutes in the early evening.\n11128,2013/04/15,\"I spent 43 talking to Nora, Piper, Piper on various topics in the early afternoon.\",\"I spent 43 talking to Nora, Piper, Piper on various topics in the early afternoon.\"\n11129,2013/04/15,\"I talked to Rylee, Kinsley for 5 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley for 5 minutes in the early afternoon.\"\n11130,2013/04/15,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n11131,2013/04/15,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n11132,2013/04/16,\"I went grocery shopping. I bought some pears, pineapples, raspberries, tea, pineapple juice, mango juice, guava juice, and mouthwash, body lotion, shaving cream\",\"I went grocery shopping. I bought some pears, pineapples, raspberries, tea, pineapple juice, mango juice, guava juice, and mouthwash, body lotion, shaving cream\"\n11133,2013/04/16,I did weight lifting on 2013/04/16.,I did weight lifting on 2013/04/16.\n11134,2013/04/16,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n11135,2013/04/16,\"I had lunch with Benjamin, Jackson, Willow. I ate tacos.\",\"I had lunch with Benjamin, Jackson, Willow. I ate tacos.\"\n11136,2013/04/16,I had dinner. I ate steak.,I had dinner. I ate steak.\n11137,2013/04/16,I spent 22 talking to Olivia on various topics late in the evening.,I spent 22 talking to Olivia on various topics late in the evening.\n11138,2013/04/16,\"I spent 55 talking to Claire, Layla, Piper on various topics during lunch hours.\",\"I spent 55 talking to Claire, Layla, Piper on various topics during lunch hours.\"\n11139,2013/04/16,I talked to Layla for 39 minutes in the early evening.,I talked to Layla for 39 minutes in the early evening.\n11140,2013/04/16,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n11141,2013/04/16,I spent 38 minutes watching a tv series on TV today.,I spent 38 minutes watching a tv series on TV today.\n11142,2013/04/17,I went on a date with Maya on 2013/04/17 at a boba shop,I went on a date with Maya on 2013/04/17 at a boba shop\n11143,2013/04/17,I did HIIT on 2013/04/17.,I did HIIT on 2013/04/17.\n11144,2013/04/17,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n11145,2013/04/17,I prepare steak for lunch.,I prepare steak for lunch.\n11146,2013/04/17,I had steak for dinner with Jackson,I had steak for dinner with Jackson\n11147,2013/04/17,\"I talked to Olivia, Nevaeh for 48 minutes during lunch hours.\",\"I talked to Olivia, Nevaeh for 48 minutes during lunch hours.\"\n11148,2013/04/17,\"I spent 48 talking to Avery, Nevaeh, Nora, Eva on various topics in the late afternoon.\",\"I spent 48 talking to Avery, Nevaeh, Nora, Eva on various topics in the late afternoon.\"\n11149,2013/04/17,\"I talked to Lydia, Rylee, Nora for 5 minutes in the late afternoon.\",\"I talked to Lydia, Rylee, Nora for 5 minutes in the late afternoon.\"\n11150,2013/04/17,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n11151,2013/04/17,I watched a tv series for 14 minutes on TV today.,I watched a tv series for 14 minutes on TV today.\n11152,2013/04/18,I did weight lifting on 2013/04/18.,I did weight lifting on 2013/04/18.\n11153,2013/04/18,I had breakfast with Jackson. I ate peanut-butter-jam.,I had breakfast with Jackson. I ate peanut-butter-jam.\n11154,2013/04/18,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n11155,2013/04/18,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n11156,2013/04/18,I spent 19 talking to Kinsley on various topics in the early evening.,I spent 19 talking to Kinsley on various topics in the early evening.\n11157,2013/04/18,\"I talked to Piper, Rylee, Eva for 17 minutes in the late afternoon.\",\"I talked to Piper, Rylee, Eva for 17 minutes in the late afternoon.\"\n11158,2013/04/18,I spent 55 talking to Kinsley on various topics in the late afternoon.,I spent 55 talking to Kinsley on various topics in the late afternoon.\n11159,2013/04/18,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n11160,2013/04/18,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n11161,2013/04/19,I did weight lifting on 2013/04/19.,I did weight lifting on 2013/04/19.\n11162,2013/04/19,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n11163,2013/04/19,I had tacos for lunch with Andrew,I had tacos for lunch with Andrew\n11164,2013/04/19,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n11165,2013/04/19,\"I talked to Hazel, Kinsley, Piper for 52 minutes in the morning.\",\"I talked to Hazel, Kinsley, Piper for 52 minutes in the morning.\"\n11166,2013/04/19,\"I talked to Olivia, Eva, Avery, Kinsley for 31 minutes in the morning.\",\"I talked to Olivia, Eva, Avery, Kinsley for 31 minutes in the morning.\"\n11167,2013/04/19,\"I talked to Claire, Rylee, Hazel, Eva for 45 minutes late in the evening.\",\"I talked to Claire, Rylee, Hazel, Eva for 45 minutes late in the evening.\"\n11168,2013/04/19,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n11169,2013/04/19,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n11170,2013/04/20,\"I bought some blueberries, bananas, clementines, peaches, mineral water, tea, pineapple juice, chocolate milk, shaving cream, shampoo, toilet paper online.\",\"I bought some blueberries, bananas, clementines, peaches, mineral water, tea, pineapple juice, chocolate milk, shaving cream, shampoo, toilet paper online.\"\n11171,2013/04/20,I did hiking on 2013/04/20.,I did hiking on 2013/04/20.\n11172,2013/04/20,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n11173,2013/04/20,I had fish and chips for lunch with Carter,I had fish and chips for lunch with Carter\n11174,2013/04/20,I ate sushi for dinner.,I ate sushi for dinner.\n11175,2013/04/20,\"I spent 9 talking to Hazel, Rylee, Piper, Claire on various topics in the late afternoon.\",\"I spent 9 talking to Hazel, Rylee, Piper, Claire on various topics in the late afternoon.\"\n11176,2013/04/20,\"I talked to Nevaeh, Rylee for 30 minutes late in the evening.\",\"I talked to Nevaeh, Rylee for 30 minutes late in the evening.\"\n11177,2013/04/20,I talked to Kinsley for 55 minutes in the early afternoon.,I talked to Kinsley for 55 minutes in the early afternoon.\n11178,2013/04/20,\"I talked to Eva, Layla, Rylee, Nora for 35 minutes in the morning.\",\"I talked to Eva, Layla, Rylee, Nora for 35 minutes in the morning.\"\n11179,2013/04/20,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n11180,2013/04/20,I spent 37 minutes watching a tv series on TV today.,I spent 37 minutes watching a tv series on TV today.\n11181,2013/04/21,I did running on 2013/04/21.,I did running on 2013/04/21.\n11182,2013/04/21,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n11183,2013/04/21,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n11184,2013/04/21,\"I had dinner with Layla, Lydia, Piper, Olivia, Nora, Claire, Avery, Kinsley, Rylee, Hazel, Eva, Piper. I ate indian food.\",\"I had dinner with Layla, Lydia, Piper, Olivia, Nora, Claire, Avery, Kinsley, Rylee, Hazel, Eva, Piper. I ate indian food.\"\n11185,2013/04/21,\"I spent 25 talking to Kinsley, Rylee, Avery, Eva on various topics late in the evening.\",\"I spent 25 talking to Kinsley, Rylee, Avery, Eva on various topics late in the evening.\"\n11186,2013/04/21,\"I spent 39 talking to Lydia, Piper, Layla, Claire on various topics in the early evening.\",\"I spent 39 talking to Lydia, Piper, Layla, Claire on various topics in the early evening.\"\n11187,2013/04/21,I spent 53 talking to Nora on various topics in the morning.,I spent 53 talking to Nora on various topics in the morning.\n11188,2013/04/21,I spent 9 talking to Nevaeh on various topics in the morning.,I spent 9 talking to Nevaeh on various topics in the morning.\n11189,2013/04/21,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n11190,2013/04/21,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n11191,2013/04/22,\"On 2013/04/22, I took Mateo on a date to a restaurant\",\"On 2013/04/22, I took Mateo on a date to a restaurant\"\n11192,2013/04/22,I did running on 2013/04/22.,I did running on 2013/04/22.\n11193,2013/04/22,\"I had breakfast with Olivia, Claire, Piper, Nora, Eva, Avery, Rylee, Hazel, Kinsley, Lydia. I ate peanut-butter-jam.\",\"I had breakfast with Olivia, Claire, Piper, Nora, Eva, Avery, Rylee, Hazel, Kinsley, Lydia. I ate peanut-butter-jam.\"\n11194,2013/04/22,\"I had lunch with Carter, Kayden, Andrew. I ate pasta.\",\"I had lunch with Carter, Kayden, Andrew. I ate pasta.\"\n11195,2013/04/22,I prepare steak for dinner.,I prepare steak for dinner.\n11196,2013/04/22,I talked to Olivia for 41 minutes in the early afternoon.,I talked to Olivia for 41 minutes in the early afternoon.\n11197,2013/04/22,I talked to Kinsley for 12 minutes during lunch hours.,I talked to Kinsley for 12 minutes during lunch hours.\n11198,2013/04/22,\"I talked to Claire, Rylee, Nevaeh for 10 minutes in the early evening.\",\"I talked to Claire, Rylee, Nevaeh for 10 minutes in the early evening.\"\n11199,2013/04/22,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n11200,2013/04/22,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n11201,2013/04/23,I did biking on 2013/04/23.,I did biking on 2013/04/23.\n11202,2013/04/23,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n11203,2013/04/23,I prepare tacos for lunch.,I prepare tacos for lunch.\n11204,2013/04/23,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n11205,2013/04/23,I talked to Piper for 29 minutes in the morning.,I talked to Piper for 29 minutes in the morning.\n11206,2013/04/23,\"I spent 7 talking to Nora, Piper, Claire, Layla on various topics in the early evening.\",\"I spent 7 talking to Nora, Piper, Claire, Layla on various topics in the early evening.\"\n11207,2013/04/23,\"I talked to Avery, Kinsley, Nora for 25 minutes in the early afternoon.\",\"I talked to Avery, Kinsley, Nora for 25 minutes in the early afternoon.\"\n11208,2013/04/23,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n11209,2013/04/23,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n11210,2013/04/24,I did swimming on 2013/04/24.,I did swimming on 2013/04/24.\n11211,2013/04/24,\"I had peanut-butter-jam for breakfast with Emily, Carter\",\"I had peanut-butter-jam for breakfast with Emily, Carter\"\n11212,2013/04/24,I ate a burger for lunch.,I ate a burger for lunch.\n11213,2013/04/24,I had chinese food for dinner with Andrew,I had chinese food for dinner with Andrew\n11214,2013/04/24,\"I talked to Olivia, Claire for 10 minutes in the early evening.\",\"I talked to Olivia, Claire for 10 minutes in the early evening.\"\n11215,2013/04/24,\"I spent 49 talking to Rylee, Piper on various topics in the late afternoon.\",\"I spent 49 talking to Rylee, Piper on various topics in the late afternoon.\"\n11216,2013/04/24,\"I spent 54 talking to Olivia, Hazel on various topics in the early afternoon.\",\"I spent 54 talking to Olivia, Hazel on various topics in the early afternoon.\"\n11217,2013/04/24,I spent 8 talking to Lydia on various topics in the early evening.,I spent 8 talking to Lydia on various topics in the early evening.\n11218,2013/04/24,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n11219,2013/04/24,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n11220,2013/04/25,\"I had oatmeal for breakfast with Kayden, Carter, Andrew\",\"I had oatmeal for breakfast with Kayden, Carter, Andrew\"\n11221,2013/04/25,\"I had indian food for lunch with Avery, Lydia, Piper, Hazel\",\"I had indian food for lunch with Avery, Lydia, Piper, Hazel\"\n11222,2013/04/25,I prepare sushi for dinner.,I prepare sushi for dinner.\n11223,2013/04/25,\"I talked to Piper, Eva, Hazel for 40 minutes in the early afternoon.\",\"I talked to Piper, Eva, Hazel for 40 minutes in the early afternoon.\"\n11224,2013/04/25,\"I talked to Hazel, Piper for 34 minutes in the early evening.\",\"I talked to Hazel, Piper for 34 minutes in the early evening.\"\n11225,2013/04/25,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n11226,2013/04/25,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n11227,2013/04/26,\"I went grocery shopping with Jackson. I bought some mangos, oranges, pineapples, nectarines, sports drinks, coffee, and toothpaste, mouthwash\",\"I went grocery shopping with Jackson. I bought some mangos, oranges, pineapples, nectarines, sports drinks, coffee, and toothpaste, mouthwash\"\n11228,2013/04/26,I did HIIT on 2013/04/26.,I did HIIT on 2013/04/26.\n11229,2013/04/26,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n11230,2013/04/26,\"I had fish and chips for lunch with Jackson, Willow, Benjamin\",\"I had fish and chips for lunch with Jackson, Willow, Benjamin\"\n11231,2013/04/26,\"I had dinner with Andrew, Carter, Emily, Kayden. I ate steak.\",\"I had dinner with Andrew, Carter, Emily, Kayden. I ate steak.\"\n11232,2013/04/26,\"I talked to Hazel, Eva for 41 minutes in the late afternoon.\",\"I talked to Hazel, Eva for 41 minutes in the late afternoon.\"\n11233,2013/04/26,\"I talked to Nevaeh, Lydia, Piper, Layla for 43 minutes in the late afternoon.\",\"I talked to Nevaeh, Lydia, Piper, Layla for 43 minutes in the late afternoon.\"\n11234,2013/04/26,I talked to Piper for 21 minutes in the morning.,I talked to Piper for 21 minutes in the morning.\n11235,2013/04/26,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n11236,2013/04/26,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n11237,2013/04/27,I went on a date with Madelyn on 2013/04/27 at a park,I went on a date with Madelyn on 2013/04/27 at a park\n11238,2013/04/27,I did running on 2013/04/27.,I did running on 2013/04/27.\n11239,2013/04/27,I had breakfast with Kayden. I ate pancakes.,I had breakfast with Kayden. I ate pancakes.\n11240,2013/04/27,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n11241,2013/04/27,I ate indian food for dinner.,I ate indian food for dinner.\n11242,2013/04/27,\"I spent 23 talking to Lydia, Olivia on various topics in the early evening.\",\"I spent 23 talking to Lydia, Olivia on various topics in the early evening.\"\n11243,2013/04/27,\"I spent 38 talking to Lydia, Hazel on various topics in the early afternoon.\",\"I spent 38 talking to Lydia, Hazel on various topics in the early afternoon.\"\n11244,2013/04/27,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n11245,2013/04/27,I spent 34 minutes watching a tv series on TV today.,I spent 34 minutes watching a tv series on TV today.\n11246,2013/04/28,I did biking on 2013/04/28.,I did biking on 2013/04/28.\n11247,2013/04/28,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n11248,2013/04/28,I had chinese food for lunch with Emily,I had chinese food for lunch with Emily\n11249,2013/04/28,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n11250,2013/04/28,\"I talked to Olivia, Nevaeh, Eva for 43 minutes during lunch hours.\",\"I talked to Olivia, Nevaeh, Eva for 43 minutes during lunch hours.\"\n11251,2013/04/28,I spent 20 talking to Piper on various topics late in the evening.,I spent 20 talking to Piper on various topics late in the evening.\n11252,2013/04/28,\"I spent 16 talking to Nora, Avery, Piper on various topics in the morning.\",\"I spent 16 talking to Nora, Avery, Piper on various topics in the morning.\"\n11253,2013/04/28,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n11254,2013/04/28,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n11255,2013/04/29,I did HIIT on 2013/04/29.,I did HIIT on 2013/04/29.\n11256,2013/04/29,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n11257,2013/04/29,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n11258,2013/04/29,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n11259,2013/04/29,I spent 55 talking to Claire on various topics during lunch hours.,I spent 55 talking to Claire on various topics during lunch hours.\n11260,2013/04/29,\"I spent 38 talking to Nora, Layla on various topics in the early afternoon.\",\"I spent 38 talking to Nora, Layla on various topics in the early afternoon.\"\n11261,2013/04/29,\"I spent 53 talking to Avery, Hazel, Nevaeh on various topics in the early evening.\",\"I spent 53 talking to Avery, Hazel, Nevaeh on various topics in the early evening.\"\n11262,2013/04/29,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n11263,2013/04/29,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n11264,2013/04/30,I did HIIT on 2013/04/30.,I did HIIT on 2013/04/30.\n11265,2013/04/30,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n11266,2013/04/30,\"I had a burger for lunch with Willow, Avery, Jackson, Benjamin\",\"I had a burger for lunch with Willow, Avery, Jackson, Benjamin\"\n11267,2013/04/30,I had dinner with Rylee. I ate steak.,I had dinner with Rylee. I ate steak.\n11268,2013/04/30,\"I talked to Nora, Hazel for 54 minutes in the early afternoon.\",\"I talked to Nora, Hazel for 54 minutes in the early afternoon.\"\n11269,2013/04/30,\"I talked to Eva, Claire, Nora for 6 minutes in the late afternoon.\",\"I talked to Eva, Claire, Nora for 6 minutes in the late afternoon.\"\n11270,2013/04/30,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n11271,2013/04/30,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n11272,2013/05/01,I did weight lifting on 2013/05/01.,I did weight lifting on 2013/05/01.\n11273,2013/05/01,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n11274,2013/05/01,I ate sandwich for lunch.,I ate sandwich for lunch.\n11275,2013/05/01,I prepare sushi for dinner.,I prepare sushi for dinner.\n11276,2013/05/01,\"I talked to Claire, Layla, Avery for 52 minutes late in the evening.\",\"I talked to Claire, Layla, Avery for 52 minutes late in the evening.\"\n11277,2013/05/01,I talked to Hazel for 25 minutes in the late afternoon.,I talked to Hazel for 25 minutes in the late afternoon.\n11278,2013/05/01,\"I spent 48 talking to Layla, Nevaeh, Rylee, Claire on various topics late in the evening.\",\"I spent 48 talking to Layla, Nevaeh, Rylee, Claire on various topics late in the evening.\"\n11279,2013/05/01,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n11280,2013/05/01,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n11281,2013/05/02,I did swimming on 2013/05/02.,I did swimming on 2013/05/02.\n11282,2013/05/02,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n11283,2013/05/02,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n11284,2013/05/02,\"I had sandwich for dinner with Willow, Avery, Jackson\",\"I had sandwich for dinner with Willow, Avery, Jackson\"\n11285,2013/05/02,I talked to Piper for 44 minutes in the early afternoon.,I talked to Piper for 44 minutes in the early afternoon.\n11286,2013/05/02,I talked to Lydia for 20 minutes in the late afternoon.,I talked to Lydia for 20 minutes in the late afternoon.\n11287,2013/05/02,\"I talked to Rylee, Piper, Hazel, Avery for 20 minutes in the morning.\",\"I talked to Rylee, Piper, Hazel, Avery for 20 minutes in the morning.\"\n11288,2013/05/02,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n11289,2013/05/02,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n11290,2013/05/03,\"I visited Seoul, South Korea for 15 days with Avery, Jackson starting on 2013/05/03\",\"I visited Seoul, South Korea for 15 days with Avery, Jackson starting on 2013/05/03\"\n11291,2013/05/03,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n11292,2013/05/03,\"I had lunch with Carter, Kayden, Andrew. I ate steak.\",\"I had lunch with Carter, Kayden, Andrew. I ate steak.\"\n11293,2013/05/03,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n11294,2013/05/03,\"I spent 30 talking to Piper, Hazel on various topics during lunch hours.\",\"I spent 30 talking to Piper, Hazel on various topics during lunch hours.\"\n11295,2013/05/03,\"I spent 6 talking to Nora, Olivia, Eva on various topics in the early evening.\",\"I spent 6 talking to Nora, Olivia, Eva on various topics in the early evening.\"\n11296,2013/05/03,I talked to Lydia for 21 minutes during lunch hours.,I talked to Lydia for 21 minutes during lunch hours.\n11297,2013/05/03,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n11298,2013/05/03,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n11299,2013/05/04,\"During my trip to Seoul, South Korea, I visited Lotte World Tower on 2013/05 with Avery, Jackson.\",\"During my trip to Seoul, South Korea, I visited Lotte World Tower on 2013/05 with Avery, Jackson.\"\n11300,2013/05/04,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n11301,2013/05/04,\"I had lunch with Kinsley, Lydia, Layla, Hazel, Piper, Eva. I ate pasta.\",\"I had lunch with Kinsley, Lydia, Layla, Hazel, Piper, Eva. I ate pasta.\"\n11302,2013/05/04,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n11303,2013/05/04,\"I spent 8 talking to Piper, Rylee on various topics in the early evening.\",\"I spent 8 talking to Piper, Rylee on various topics in the early evening.\"\n11304,2013/05/04,I spent 23 talking to Kinsley on various topics in the late afternoon.,I spent 23 talking to Kinsley on various topics in the late afternoon.\n11305,2013/05/04,\"I spent 5 talking to Avery, Piper, Piper, Olivia on various topics in the early evening.\",\"I spent 5 talking to Avery, Piper, Piper, Olivia on various topics in the early evening.\"\n11306,2013/05/04,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n11307,2013/05/04,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n11308,2013/05/05,\"During my trip to Seoul, South Korea, I visited N Seoul Tower on 2013/05 with Avery, Jackson.\",\"During my trip to Seoul, South Korea, I visited N Seoul Tower on 2013/05 with Avery, Jackson.\"\n11309,2013/05/05,\"I ate street food at Gwangjang Market with Avery, Jackson on  2013/05/05 when I was in Seoul, South Korea.\",\"I ate street food at Gwangjang Market with Avery, Jackson on  2013/05/05 when I was in Seoul, South Korea.\"\n11310,2013/05/05,I had peanut-butter-jam for breakfast with Andrew,I had peanut-butter-jam for breakfast with Andrew\n11311,2013/05/05,I had indian food for lunch with Benjamin,I had indian food for lunch with Benjamin\n11312,2013/05/05,\"I had fish and chips for dinner with Hazel, Kinsley, Rylee, Layla, Lydia, Nora, Eva, Avery, Piper\",\"I had fish and chips for dinner with Hazel, Kinsley, Rylee, Layla, Lydia, Nora, Eva, Avery, Piper\"\n11313,2013/05/05,\"I talked to Nevaeh, Rylee, Layla, Piper for 47 minutes in the early afternoon.\",\"I talked to Nevaeh, Rylee, Layla, Piper for 47 minutes in the early afternoon.\"\n11314,2013/05/05,I spent 39 talking to Avery on various topics during lunch hours.,I spent 39 talking to Avery on various topics during lunch hours.\n11315,2013/05/05,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n11316,2013/05/05,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n11317,2013/05/06,\"During my trip to Seoul, South Korea, I visited National Museum Of Korea on 2013/05 with Avery, Jackson.\",\"During my trip to Seoul, South Korea, I visited National Museum Of Korea on 2013/05 with Avery, Jackson.\"\n11318,2013/05/06,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n11319,2013/05/06,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n11320,2013/05/06,\"I had dinner with Carter, Emily. I ate sandwich.\",\"I had dinner with Carter, Emily. I ate sandwich.\"\n11321,2013/05/06,\"I spent 55 talking to Olivia, Claire, Hazel, Lydia on various topics during lunch hours.\",\"I spent 55 talking to Olivia, Claire, Hazel, Lydia on various topics during lunch hours.\"\n11322,2013/05/06,\"I talked to Avery, Nora for 31 minutes late in the evening.\",\"I talked to Avery, Nora for 31 minutes late in the evening.\"\n11323,2013/05/06,I spent 24 talking to Eva on various topics in the early evening.,I spent 24 talking to Eva on various topics in the early evening.\n11324,2013/05/06,\"I talked to Olivia, Hazel for 39 minutes in the early afternoon.\",\"I talked to Olivia, Hazel for 39 minutes in the early afternoon.\"\n11325,2013/05/06,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n11326,2013/05/06,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n11327,2013/05/07,\"I ate Japanese food at Gwangjang Market with Avery, Jackson on  2013/05/07 when I was in Seoul, South Korea.\",\"I ate Japanese food at Gwangjang Market with Avery, Jackson on  2013/05/07 when I was in Seoul, South Korea.\"\n11328,2013/05/07,\"I had breakfast with Jackson, Avery. I ate cereals.\",\"I had breakfast with Jackson, Avery. I ate cereals.\"\n11329,2013/05/07,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n11330,2013/05/07,\"I had sushi for dinner with Carter, Andrew\",\"I had sushi for dinner with Carter, Andrew\"\n11331,2013/05/07,I talked to Lydia for 49 minutes in the late afternoon.,I talked to Lydia for 49 minutes in the late afternoon.\n11332,2013/05/07,\"I talked to Rylee, Olivia, Avery for 52 minutes in the early evening.\",\"I talked to Rylee, Olivia, Avery for 52 minutes in the early evening.\"\n11333,2013/05/07,\"I talked to Olivia, Eva, Piper for 16 minutes in the early evening.\",\"I talked to Olivia, Eva, Piper for 16 minutes in the early evening.\"\n11334,2013/05/07,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n11335,2013/05/07,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n11336,2013/05/08,\"I ate Indian food at Common Ground with Avery, Jackson on  2013/05/08 when I was in Seoul, South Korea.\",\"I ate Indian food at Common Ground with Avery, Jackson on  2013/05/08 when I was in Seoul, South Korea.\"\n11337,2013/05/08,I had breakfast with Andrew. I ate cereals.,I had breakfast with Andrew. I ate cereals.\n11338,2013/05/08,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n11339,2013/05/08,I prepare steak for dinner.,I prepare steak for dinner.\n11340,2013/05/08,\"I talked to Eva, Olivia for 10 minutes in the morning.\",\"I talked to Eva, Olivia for 10 minutes in the morning.\"\n11341,2013/05/08,\"I spent 49 talking to Hazel, Nora, Piper, Layla on various topics in the morning.\",\"I spent 49 talking to Hazel, Nora, Piper, Layla on various topics in the morning.\"\n11342,2013/05/08,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n11343,2013/05/08,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n11344,2013/05/09,\"I ate Japanese food at Gwangjang Market with Avery, Jackson on  2013/05/09 when I was in Seoul, South Korea.\",\"I ate Japanese food at Gwangjang Market with Avery, Jackson on  2013/05/09 when I was in Seoul, South Korea.\"\n11345,2013/05/09,I had breakfast with Kinsley. I ate cereals.,I had breakfast with Kinsley. I ate cereals.\n11346,2013/05/09,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n11347,2013/05/09,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n11348,2013/05/09,\"I talked to Claire, Nora, Nevaeh, Layla for 32 minutes in the late afternoon.\",\"I talked to Claire, Nora, Nevaeh, Layla for 32 minutes in the late afternoon.\"\n11349,2013/05/09,\"I talked to Olivia, Eva for 8 minutes in the morning.\",\"I talked to Olivia, Eva for 8 minutes in the morning.\"\n11350,2013/05/09,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n11351,2013/05/09,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n11352,2013/05/10,\"I ate Chinese food at Common Ground with Avery, Jackson on  2013/05/10 when I was in Seoul, South Korea.\",\"I ate Chinese food at Common Ground with Avery, Jackson on  2013/05/10 when I was in Seoul, South Korea.\"\n11353,2013/05/10,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n11354,2013/05/10,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n11355,2013/05/10,I prepare tacos for dinner.,I prepare tacos for dinner.\n11356,2013/05/10,\"I talked to Layla, Nevaeh, Eva, Kinsley for 42 minutes in the early afternoon.\",\"I talked to Layla, Nevaeh, Eva, Kinsley for 42 minutes in the early afternoon.\"\n11357,2013/05/10,\"I spent 52 talking to Hazel, Layla, Avery on various topics in the early afternoon.\",\"I spent 52 talking to Hazel, Layla, Avery on various topics in the early afternoon.\"\n11358,2013/05/10,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n11359,2013/05/10,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n11360,2013/05/11,\"I ate Chinese food at Seoul Bamdokkaebi Night Market with Avery, Jackson on  2013/05/11 when I was in Seoul, South Korea.\",\"I ate Chinese food at Seoul Bamdokkaebi Night Market with Avery, Jackson on  2013/05/11 when I was in Seoul, South Korea.\"\n11361,2013/05/11,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n11362,2013/05/11,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n11363,2013/05/11,I had fish and chips for dinner with Andrew,I had fish and chips for dinner with Andrew\n11364,2013/05/11,\"I talked to Hazel, Eva, Olivia for 44 minutes in the late afternoon.\",\"I talked to Hazel, Eva, Olivia for 44 minutes in the late afternoon.\"\n11365,2013/05/11,I spent 23 talking to Lydia on various topics in the early evening.,I spent 23 talking to Lydia on various topics in the early evening.\n11366,2013/05/11,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n11367,2013/05/11,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n11368,2013/05/12,\"I ate Indian food at Myeongdong Street Food Alley with Avery, Jackson on  2013/05/12 when I was in Seoul, South Korea.\",\"I ate Indian food at Myeongdong Street Food Alley with Avery, Jackson on  2013/05/12 when I was in Seoul, South Korea.\"\n11369,2013/05/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n11370,2013/05/12,I prepare indian food for lunch.,I prepare indian food for lunch.\n11371,2013/05/12,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n11372,2013/05/12,\"I spent 29 talking to Claire, Piper, Olivia on various topics during lunch hours.\",\"I spent 29 talking to Claire, Piper, Olivia on various topics during lunch hours.\"\n11373,2013/05/12,\"I talked to Avery, Layla for 53 minutes in the late afternoon.\",\"I talked to Avery, Layla for 53 minutes in the late afternoon.\"\n11374,2013/05/12,\"I spent 18 talking to Kinsley, Lydia, Piper on various topics in the late afternoon.\",\"I spent 18 talking to Kinsley, Lydia, Piper on various topics in the late afternoon.\"\n11375,2013/05/12,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n11376,2013/05/12,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n11377,2013/05/13,\"I ate local food at Myeongdong Street Food Alley with Avery, Jackson on  2013/05/13 when I was in Seoul, South Korea.\",\"I ate local food at Myeongdong Street Food Alley with Avery, Jackson on  2013/05/13 when I was in Seoul, South Korea.\"\n11378,2013/05/13,I went on a date with Quinn on 2013/05/13 at a restaurant,I went on a date with Quinn on 2013/05/13 at a restaurant\n11379,2013/05/13,\"I bought some peaches, pineapples, blackberries, coffee, mango juice, tea, milk, body lotion from the grocery store. I saw Carter, Kayden, Andrew at the grocery store.\",\"I bought some peaches, pineapples, blackberries, coffee, mango juice, tea, milk, body lotion from the grocery store. I saw Carter, Kayden, Andrew at the grocery store.\"\n11380,2013/05/13,\"I had eggs, sausages, and bread for breakfast with Carter, Emily, Andrew, Kayden\",\"I had eggs, sausages, and bread for breakfast with Carter, Emily, Andrew, Kayden\"\n11381,2013/05/13,I prepare sushi for lunch.,I prepare sushi for lunch.\n11382,2013/05/13,\"I had dinner with Rylee, Eva. I ate chinese food.\",\"I had dinner with Rylee, Eva. I ate chinese food.\"\n11383,2013/05/13,\"I talked to Eva, Kinsley, Avery, Lydia for 25 minutes in the early afternoon.\",\"I talked to Eva, Kinsley, Avery, Lydia for 25 minutes in the early afternoon.\"\n11384,2013/05/13,I talked to Nevaeh for 46 minutes in the early evening.,I talked to Nevaeh for 46 minutes in the early evening.\n11385,2013/05/13,I talked to Eva for 45 minutes in the early afternoon.,I talked to Eva for 45 minutes in the early afternoon.\n11386,2013/05/13,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n11387,2013/05/13,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n11388,2013/05/14,I did weight lifting on 2013/05/14.,I did weight lifting on 2013/05/14.\n11389,2013/05/14,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n11390,2013/05/14,\"I had a burger for lunch with Kinsley, Rylee, Avery, Olivia, Nora\",\"I had a burger for lunch with Kinsley, Rylee, Avery, Olivia, Nora\"\n11391,2013/05/14,I prepare sushi for dinner.,I prepare sushi for dinner.\n11392,2013/05/14,\"I spent 18 talking to Olivia, Hazel on various topics during lunch hours.\",\"I spent 18 talking to Olivia, Hazel on various topics during lunch hours.\"\n11393,2013/05/14,I spent 39 talking to Kinsley on various topics late in the evening.,I spent 39 talking to Kinsley on various topics late in the evening.\n11394,2013/05/14,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n11395,2013/05/14,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n11396,2013/05/15,\"I ate Italian food at Myeongdong Street Food Alley with Avery, Jackson on  2013/05/15 when I was in Seoul, South Korea.\",\"I ate Italian food at Myeongdong Street Food Alley with Avery, Jackson on  2013/05/15 when I was in Seoul, South Korea.\"\n11397,2013/05/15,I had cereals for breakfast with Kayden,I had cereals for breakfast with Kayden\n11398,2013/05/15,\"I had fish and chips for lunch with Jackson, Benjamin, Avery, Willow\",\"I had fish and chips for lunch with Jackson, Benjamin, Avery, Willow\"\n11399,2013/05/15,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n11400,2013/05/15,\"I spent 23 talking to Nevaeh, Hazel, Lydia on various topics during lunch hours.\",\"I spent 23 talking to Nevaeh, Hazel, Lydia on various topics during lunch hours.\"\n11401,2013/05/15,\"I spent 9 talking to Claire, Eva on various topics in the early afternoon.\",\"I spent 9 talking to Claire, Eva on various topics in the early afternoon.\"\n11402,2013/05/15,\"I spent 28 talking to Piper, Rylee on various topics in the late afternoon.\",\"I spent 28 talking to Piper, Rylee on various topics in the late afternoon.\"\n11403,2013/05/15,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n11404,2013/05/15,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n11405,2013/05/16,\"I ate Chinese food at Common Ground with Avery, Jackson on  2013/05/16 when I was in Seoul, South Korea.\",\"I ate Chinese food at Common Ground with Avery, Jackson on  2013/05/16 when I was in Seoul, South Korea.\"\n11406,2013/05/16,I went on a date with Jameson on 2013/05/16 at a park,I went on a date with Jameson on 2013/05/16 at a park\n11407,2013/05/16,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n11408,2013/05/16,I ate tacos for lunch.,I ate tacos for lunch.\n11409,2013/05/16,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n11410,2013/05/16,I talked to Piper for 19 minutes in the early afternoon.,I talked to Piper for 19 minutes in the early afternoon.\n11411,2013/05/16,\"I spent 24 talking to Layla, Nora, Eva on various topics in the morning.\",\"I spent 24 talking to Layla, Nora, Eva on various topics in the morning.\"\n11412,2013/05/16,\"I spent 12 talking to Piper, Kinsley, Claire, Eva on various topics in the morning.\",\"I spent 12 talking to Piper, Kinsley, Claire, Eva on various topics in the morning.\"\n11413,2013/05/16,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n11414,2013/05/16,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n11415,2013/05/17,\"I ate local food at Myeongdong Street Food Alley with Avery, Jackson on  2013/05/17 when I was in Seoul, South Korea.\",\"I ate local food at Myeongdong Street Food Alley with Avery, Jackson on  2013/05/17 when I was in Seoul, South Korea.\"\n11416,2013/05/17,\"On 2013/05/17, I took Hazel on a date to a coffee Shop\",\"On 2013/05/17, I took Hazel on a date to a coffee Shop\"\n11417,2013/05/17,\"I had peanut-butter-jam for breakfast with Emily, Kayden\",\"I had peanut-butter-jam for breakfast with Emily, Kayden\"\n11418,2013/05/17,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n11419,2013/05/17,I ate a burger for dinner.,I ate a burger for dinner.\n11420,2013/05/17,I talked to Eva for 47 minutes in the early afternoon.,I talked to Eva for 47 minutes in the early afternoon.\n11421,2013/05/17,\"I spent 21 talking to Rylee, Hazel, Nora, Eva on various topics in the early evening.\",\"I spent 21 talking to Rylee, Hazel, Nora, Eva on various topics in the early evening.\"\n11422,2013/05/17,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n11423,2013/05/17,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n11424,2013/05/18,\"I ate Japanese food at Myeongdong Street Food Alley with Avery, Jackson on  2013/05/18 when I was in Seoul, South Korea.\",\"I ate Japanese food at Myeongdong Street Food Alley with Avery, Jackson on  2013/05/18 when I was in Seoul, South Korea.\"\n11425,2013/05/18,I had toast and cheese for breakfast with Emily,I had toast and cheese for breakfast with Emily\n11426,2013/05/18,\"I had lunch with Carter, Emily. I ate a burger.\",\"I had lunch with Carter, Emily. I ate a burger.\"\n11427,2013/05/18,I ate pasta for dinner.,I ate pasta for dinner.\n11428,2013/05/18,\"I talked to Nevaeh, Piper, Piper, Rylee for 16 minutes in the early evening.\",\"I talked to Nevaeh, Piper, Piper, Rylee for 16 minutes in the early evening.\"\n11429,2013/05/18,\"I talked to Claire, Olivia, Nora, Kinsley for 25 minutes in the early afternoon.\",\"I talked to Claire, Olivia, Nora, Kinsley for 25 minutes in the early afternoon.\"\n11430,2013/05/18,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n11431,2013/05/18,I spent 33 minutes watching a movie on TV today.,I spent 33 minutes watching a movie on TV today.\n11432,2013/05/19,\"I bought some blackberries, clementines, blueberries, strawberries, coffee, paper towel, mouthwash, shampoo online.\",\"I bought some blackberries, clementines, blueberries, strawberries, coffee, paper towel, mouthwash, shampoo online.\"\n11433,2013/05/19,I did running on 2013/05/19.,I did running on 2013/05/19.\n11434,2013/05/19,\"I had pancakes for breakfast with Emily, Carter, Andrew\",\"I had pancakes for breakfast with Emily, Carter, Andrew\"\n11435,2013/05/19,I prepare a burger for lunch.,I prepare a burger for lunch.\n11436,2013/05/19,I ate tacos for dinner.,I ate tacos for dinner.\n11437,2013/05/19,I spent 40 talking to Piper on various topics during lunch hours.,I spent 40 talking to Piper on various topics during lunch hours.\n11438,2013/05/19,\"I talked to Rylee, Avery for 38 minutes in the morning.\",\"I talked to Rylee, Avery for 38 minutes in the morning.\"\n11439,2013/05/19,I talked to Claire for 23 minutes during lunch hours.,I talked to Claire for 23 minutes during lunch hours.\n11440,2013/05/19,I talked to Hazel for 38 minutes late in the evening.,I talked to Hazel for 38 minutes late in the evening.\n11441,2013/05/19,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n11442,2013/05/19,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n11443,2013/05/20,I did weight lifting on 2013/05/20.,I did weight lifting on 2013/05/20.\n11444,2013/05/20,\"I had breakfast with Willow, Jackson, Avery, Benjamin. I ate toast and cheese.\",\"I had breakfast with Willow, Jackson, Avery, Benjamin. I ate toast and cheese.\"\n11445,2013/05/20,I ate chinese food for lunch.,I ate chinese food for lunch.\n11446,2013/05/20,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n11447,2013/05/20,\"I talked to Hazel, Layla for 47 minutes late in the evening.\",\"I talked to Hazel, Layla for 47 minutes late in the evening.\"\n11448,2013/05/20,\"I spent 31 talking to Rylee, Nora, Claire on various topics in the early evening.\",\"I spent 31 talking to Rylee, Nora, Claire on various topics in the early evening.\"\n11449,2013/05/20,I talked to Eva for 39 minutes in the morning.,I talked to Eva for 39 minutes in the morning.\n11450,2013/05/20,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n11451,2013/05/20,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n11452,2013/05/21,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n11453,2013/05/21,I prepare indian food for lunch.,I prepare indian food for lunch.\n11454,2013/05/21,I ate tacos for dinner.,I ate tacos for dinner.\n11455,2013/05/21,\"I talked to Rylee, Nevaeh for 36 minutes during lunch hours.\",\"I talked to Rylee, Nevaeh for 36 minutes during lunch hours.\"\n11456,2013/05/21,\"I spent 48 talking to Kinsley, Lydia on various topics during lunch hours.\",\"I spent 48 talking to Kinsley, Lydia on various topics during lunch hours.\"\n11457,2013/05/21,\"I spent 17 talking to Piper, Kinsley, Hazel, Avery on various topics in the morning.\",\"I spent 17 talking to Piper, Kinsley, Hazel, Avery on various topics in the morning.\"\n11458,2013/05/21,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n11459,2013/05/21,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n11460,2013/05/22,\"I bought some clementines, pears, cherres, mangos, mineral water, facial wash, toothpaste, toothbrush, shampoo online.\",\"I bought some clementines, pears, cherres, mangos, mineral water, facial wash, toothpaste, toothbrush, shampoo online.\"\n11461,2013/05/22,I did HIIT on 2013/05/22.,I did HIIT on 2013/05/22.\n11462,2013/05/22,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n11463,2013/05/22,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n11464,2013/05/22,I ate pasta for dinner.,I ate pasta for dinner.\n11465,2013/05/22,\"I talked to Nora, Eva, Avery, Nevaeh for 11 minutes in the late afternoon.\",\"I talked to Nora, Eva, Avery, Nevaeh for 11 minutes in the late afternoon.\"\n11466,2013/05/22,\"I talked to Layla, Piper, Hazel, Kinsley for 21 minutes in the early evening.\",\"I talked to Layla, Piper, Hazel, Kinsley for 21 minutes in the early evening.\"\n11467,2013/05/22,\"I talked to Layla, Claire, Kinsley for 34 minutes in the early afternoon.\",\"I talked to Layla, Claire, Kinsley for 34 minutes in the early afternoon.\"\n11468,2013/05/22,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n11469,2013/05/22,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n11470,2013/05/23,I spent some time gardening on 2013/05/23.,I spent some time gardening on 2013/05/23.\n11471,2013/05/23,I did biking on 2013/05/23.,I did biking on 2013/05/23.\n11472,2013/05/23,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n11473,2013/05/23,I had steak for lunch with Jackson,I had steak for lunch with Jackson\n11474,2013/05/23,\"I had dinner with Carter, Emily, Andrew, Kayden. I ate tacos.\",\"I had dinner with Carter, Emily, Andrew, Kayden. I ate tacos.\"\n11475,2013/05/23,\"I talked to Piper, Layla for 47 minutes during lunch hours.\",\"I talked to Piper, Layla for 47 minutes during lunch hours.\"\n11476,2013/05/23,\"I talked to Layla, Claire for 13 minutes in the early afternoon.\",\"I talked to Layla, Claire for 13 minutes in the early afternoon.\"\n11477,2013/05/23,\"I talked to Lydia, Claire, Kinsley for 8 minutes late in the evening.\",\"I talked to Lydia, Claire, Kinsley for 8 minutes late in the evening.\"\n11478,2013/05/23,\"I talked to Kinsley, Avery for 39 minutes in the early afternoon.\",\"I talked to Kinsley, Avery for 39 minutes in the early afternoon.\"\n11479,2013/05/23,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n11480,2013/05/23,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n11481,2013/05/24,I did biking on 2013/05/24.,I did biking on 2013/05/24.\n11482,2013/05/24,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n11483,2013/05/24,I ate a burger for lunch.,I ate a burger for lunch.\n11484,2013/05/24,I prepare a burger for dinner.,I prepare a burger for dinner.\n11485,2013/05/24,\"I talked to Lydia, Claire for 27 minutes in the late afternoon.\",\"I talked to Lydia, Claire for 27 minutes in the late afternoon.\"\n11486,2013/05/24,\"I talked to Olivia, Claire, Lydia, Nevaeh for 18 minutes during lunch hours.\",\"I talked to Olivia, Claire, Lydia, Nevaeh for 18 minutes during lunch hours.\"\n11487,2013/05/24,\"I talked to Nora, Hazel for 25 minutes during lunch hours.\",\"I talked to Nora, Hazel for 25 minutes during lunch hours.\"\n11488,2013/05/24,\"I spent 22 talking to Layla, Eva, Avery, Rylee on various topics in the early afternoon.\",\"I spent 22 talking to Layla, Eva, Avery, Rylee on various topics in the early afternoon.\"\n11489,2013/05/24,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n11490,2013/05/24,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n11491,2013/05/25,\"I bought some mandarins, cherres, blackberries, blueberries, soda, coffee, conditioner from the grocery store. I saw Willow at the grocery store.\",\"I bought some mandarins, cherres, blackberries, blueberries, soda, coffee, conditioner from the grocery store. I saw Willow at the grocery store.\"\n11492,2013/05/25,I did swimming on 2013/05/25.,I did swimming on 2013/05/25.\n11493,2013/05/25,\"I had breakfast with Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery. I ate eggs, sausages, and bread.\"\n11494,2013/05/25,\"I had lunch with Eva, Lydia, Piper. I ate sushi.\",\"I had lunch with Eva, Lydia, Piper. I ate sushi.\"\n11495,2013/05/25,\"I had chinese food for dinner with Kayden, Andrew\",\"I had chinese food for dinner with Kayden, Andrew\"\n11496,2013/05/25,\"I talked to Eva, Avery, Nevaeh, Nora for 17 minutes during lunch hours.\",\"I talked to Eva, Avery, Nevaeh, Nora for 17 minutes during lunch hours.\"\n11497,2013/05/25,\"I spent 30 talking to Claire, Lydia, Layla, Kinsley on various topics in the early afternoon.\",\"I spent 30 talking to Claire, Lydia, Layla, Kinsley on various topics in the early afternoon.\"\n11498,2013/05/25,\"I talked to Kinsley, Rylee, Claire for 9 minutes during lunch hours.\",\"I talked to Kinsley, Rylee, Claire for 9 minutes during lunch hours.\"\n11499,2013/05/25,\"I talked to Piper, Layla, Eva, Avery for 52 minutes late in the evening.\",\"I talked to Piper, Layla, Eva, Avery for 52 minutes late in the evening.\"\n11500,2013/05/25,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n11501,2013/05/25,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n11502,2013/05/26,\"I had breakfast with Benjamin, Avery, Jackson, Willow. I ate cereals.\",\"I had breakfast with Benjamin, Avery, Jackson, Willow. I ate cereals.\"\n11503,2013/05/26,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n11504,2013/05/26,\"I had a burger for dinner with Hazel, Layla, Piper, Nora, Kinsley\",\"I had a burger for dinner with Hazel, Layla, Piper, Nora, Kinsley\"\n11505,2013/05/26,I talked to Olivia for 38 minutes in the morning.,I talked to Olivia for 38 minutes in the morning.\n11506,2013/05/26,I spent 19 talking to Kinsley on various topics in the late afternoon.,I spent 19 talking to Kinsley on various topics in the late afternoon.\n11507,2013/05/26,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n11508,2013/05/26,I watched news for 35 minutes on TV today.,I watched news for 35 minutes on TV today.\n11509,2013/05/27,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n11510,2013/05/27,I ate sushi for lunch.,I ate sushi for lunch.\n11511,2013/05/27,I ate pasta for dinner.,I ate pasta for dinner.\n11512,2013/05/27,I spent 42 talking to Eva on various topics during lunch hours.,I spent 42 talking to Eva on various topics during lunch hours.\n11513,2013/05/27,I spent 50 talking to Nevaeh on various topics in the early evening.,I spent 50 talking to Nevaeh on various topics in the early evening.\n11514,2013/05/27,\"I talked to Olivia, Rylee, Eva for 30 minutes in the morning.\",\"I talked to Olivia, Rylee, Eva for 30 minutes in the morning.\"\n11515,2013/05/27,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n11516,2013/05/27,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n11517,2013/05/28,I did hiking on 2013/05/28.,I did hiking on 2013/05/28.\n11518,2013/05/28,\"I had oatmeal for breakfast with Lydia, Kinsley, Claire\",\"I had oatmeal for breakfast with Lydia, Kinsley, Claire\"\n11519,2013/05/28,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n11520,2013/05/28,I ate sushi for dinner.,I ate sushi for dinner.\n11521,2013/05/28,\"I spent 25 talking to Hazel, Lydia, Kinsley on various topics in the early afternoon.\",\"I spent 25 talking to Hazel, Lydia, Kinsley on various topics in the early afternoon.\"\n11522,2013/05/28,\"I spent 42 talking to Piper, Layla on various topics during lunch hours.\",\"I spent 42 talking to Piper, Layla on various topics during lunch hours.\"\n11523,2013/05/28,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n11524,2013/05/28,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n11525,2013/05/29,I did weight lifting on 2013/05/29.,I did weight lifting on 2013/05/29.\n11526,2013/05/29,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n11527,2013/05/29,\"I had lunch with Lydia, Piper. I ate steak.\",\"I had lunch with Lydia, Piper. I ate steak.\"\n11528,2013/05/29,\"I had dinner with Andrew, Emily. I ate chinese food.\",\"I had dinner with Andrew, Emily. I ate chinese food.\"\n11529,2013/05/29,I spent 41 talking to Lydia on various topics during lunch hours.,I spent 41 talking to Lydia on various topics during lunch hours.\n11530,2013/05/29,I talked to Lydia for 12 minutes late in the evening.,I talked to Lydia for 12 minutes late in the evening.\n11531,2013/05/29,\"I talked to Avery, Nora for 8 minutes during lunch hours.\",\"I talked to Avery, Nora for 8 minutes during lunch hours.\"\n11532,2013/05/29,\"I talked to Lydia, Eva, Rylee, Avery for 17 minutes in the morning.\",\"I talked to Lydia, Eva, Rylee, Avery for 17 minutes in the morning.\"\n11533,2013/05/29,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n11534,2013/05/29,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n11535,2013/05/30,\"I went grocery shopping with Emily, Carter. I bought some guava, peaches, nectarines, mineral water, milk, apple juice, and toothpaste, mouthwash, paper towel, conditioner\",\"I went grocery shopping with Emily, Carter. I bought some guava, peaches, nectarines, mineral water, milk, apple juice, and toothpaste, mouthwash, paper towel, conditioner\"\n11536,2013/05/30,I did swimming on 2013/05/30.,I did swimming on 2013/05/30.\n11537,2013/05/30,\"I had eggs, sausages, and bread for breakfast with Piper\",\"I had eggs, sausages, and bread for breakfast with Piper\"\n11538,2013/05/30,I prepare indian food for lunch.,I prepare indian food for lunch.\n11539,2013/05/30,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n11540,2013/05/30,\"I talked to Nora, Piper for 29 minutes in the early afternoon.\",\"I talked to Nora, Piper for 29 minutes in the early afternoon.\"\n11541,2013/05/30,\"I spent 11 talking to Layla, Eva, Hazel on various topics in the early evening.\",\"I spent 11 talking to Layla, Eva, Hazel on various topics in the early evening.\"\n11542,2013/05/30,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n11543,2013/05/30,I spent 33 minutes watching a movie on TV today.,I spent 33 minutes watching a movie on TV today.\n11544,2013/05/31,I did weight lifting on 2013/05/31.,I did weight lifting on 2013/05/31.\n11545,2013/05/31,\"I had breakfast with Eva, Claire, Piper, Rylee, Lydia, Nevaeh, Nora, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Eva, Claire, Piper, Rylee, Lydia, Nevaeh, Nora, Avery. I ate peanut-butter-jam.\"\n11546,2013/05/31,I ate tacos for lunch.,I ate tacos for lunch.\n11547,2013/05/31,I had dinner with Kayden. I ate sandwich.,I had dinner with Kayden. I ate sandwich.\n11548,2013/05/31,I talked to Eva for 38 minutes in the early afternoon.,I talked to Eva for 38 minutes in the early afternoon.\n11549,2013/05/31,\"I spent 34 talking to Hazel, Nevaeh, Piper on various topics in the morning.\",\"I spent 34 talking to Hazel, Nevaeh, Piper on various topics in the morning.\"\n11550,2013/05/31,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n11551,2013/05/31,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n11552,2013/06/01,I went on a date with Mason on 2013/06/01 at a boba shop,I went on a date with Mason on 2013/06/01 at a boba shop\n11553,2013/06/01,I did biking on 2013/06/01.,I did biking on 2013/06/01.\n11554,2013/06/01,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n11555,2013/06/01,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n11556,2013/06/01,\"I had dinner with Emily, Andrew. I ate tacos.\",\"I had dinner with Emily, Andrew. I ate tacos.\"\n11557,2013/06/01,\"I spent 28 talking to Piper, Nora, Claire, Kinsley on various topics during lunch hours.\",\"I spent 28 talking to Piper, Nora, Claire, Kinsley on various topics during lunch hours.\"\n11558,2013/06/01,\"I talked to Nora, Piper for 46 minutes late in the evening.\",\"I talked to Nora, Piper for 46 minutes late in the evening.\"\n11559,2013/06/01,\"I talked to Layla, Piper, Rylee for 17 minutes in the late afternoon.\",\"I talked to Layla, Piper, Rylee for 17 minutes in the late afternoon.\"\n11560,2013/06/01,\"I talked to Piper, Avery, Olivia for 28 minutes in the early afternoon.\",\"I talked to Piper, Avery, Olivia for 28 minutes in the early afternoon.\"\n11561,2013/06/01,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n11562,2013/06/01,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n11563,2013/06/02,I ate cereals for breakfast.,I ate cereals for breakfast.\n11564,2013/06/02,I prepare sushi for lunch.,I prepare sushi for lunch.\n11565,2013/06/02,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n11566,2013/06/02,\"I talked to Piper, Kinsley, Layla, Olivia for 43 minutes in the late afternoon.\",\"I talked to Piper, Kinsley, Layla, Olivia for 43 minutes in the late afternoon.\"\n11567,2013/06/02,\"I spent 13 talking to Hazel, Eva, Olivia on various topics late in the evening.\",\"I spent 13 talking to Hazel, Eva, Olivia on various topics late in the evening.\"\n11568,2013/06/02,I spent 14 talking to Avery on various topics in the early evening.,I spent 14 talking to Avery on various topics in the early evening.\n11569,2013/06/02,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n11570,2013/06/02,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n11571,2013/06/03,\"I went grocery shopping. I bought some raspberries, apricots, strawberries, mineral water, apple juice, milk, orange juice, and toilet paper, mouthwash\",\"I went grocery shopping. I bought some raspberries, apricots, strawberries, mineral water, apple juice, milk, orange juice, and toilet paper, mouthwash\"\n11572,2013/06/03,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n11573,2013/06/03,I prepare indian food for lunch.,I prepare indian food for lunch.\n11574,2013/06/03,I ate a burger for dinner.,I ate a burger for dinner.\n11575,2013/06/03,I spent 27 talking to Claire on various topics in the morning.,I spent 27 talking to Claire on various topics in the morning.\n11576,2013/06/03,\"I talked to Lydia, Rylee, Olivia, Kinsley for 53 minutes in the late afternoon.\",\"I talked to Lydia, Rylee, Olivia, Kinsley for 53 minutes in the late afternoon.\"\n11577,2013/06/03,\"I spent 25 talking to Avery, Eva, Rylee on various topics in the early evening.\",\"I spent 25 talking to Avery, Eva, Rylee on various topics in the early evening.\"\n11578,2013/06/03,\"I talked to Kinsley, Nora, Claire for 39 minutes late in the evening.\",\"I talked to Kinsley, Nora, Claire for 39 minutes late in the evening.\"\n11579,2013/06/03,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n11580,2013/06/03,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n11581,2013/06/04,\"I bought some oranges, bananas, blueberries, apple juice, toilet paper, mouthwash, toothbrush, body lotion from the grocery store. I saw Andrew, Carter, Kayden at the grocery store.\",\"I bought some oranges, bananas, blueberries, apple juice, toilet paper, mouthwash, toothbrush, body lotion from the grocery store. I saw Andrew, Carter, Kayden at the grocery store.\"\n11582,2013/06/04,I did biking on 2013/06/04.,I did biking on 2013/06/04.\n11583,2013/06/04,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n11584,2013/06/04,I prepare a burger for lunch.,I prepare a burger for lunch.\n11585,2013/06/04,I prepare indian food for dinner.,I prepare indian food for dinner.\n11586,2013/06/04,\"I talked to Piper, Avery, Nora for 28 minutes late in the evening.\",\"I talked to Piper, Avery, Nora for 28 minutes late in the evening.\"\n11587,2013/06/04,I talked to Piper for 30 minutes in the morning.,I talked to Piper for 30 minutes in the morning.\n11588,2013/06/04,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n11589,2013/06/04,I spent 24 minutes watching a documentary on TV today.,I spent 24 minutes watching a documentary on TV today.\n11590,2013/06/05,I did biking on 2013/06/05.,I did biking on 2013/06/05.\n11591,2013/06/05,\"I had breakfast with Carter, Emily, Andrew. I ate oatmeal.\",\"I had breakfast with Carter, Emily, Andrew. I ate oatmeal.\"\n11592,2013/06/05,I ate sushi for lunch.,I ate sushi for lunch.\n11593,2013/06/05,I had dinner with Andrew. I ate fish and chips.,I had dinner with Andrew. I ate fish and chips.\n11594,2013/06/05,\"I talked to Avery, Layla for 43 minutes in the morning.\",\"I talked to Avery, Layla for 43 minutes in the morning.\"\n11595,2013/06/05,\"I talked to Olivia, Claire, Piper, Nora for 47 minutes in the late afternoon.\",\"I talked to Olivia, Claire, Piper, Nora for 47 minutes in the late afternoon.\"\n11596,2013/06/05,\"I talked to Avery, Rylee, Lydia, Nora for 51 minutes in the late afternoon.\",\"I talked to Avery, Rylee, Lydia, Nora for 51 minutes in the late afternoon.\"\n11597,2013/06/05,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n11598,2013/06/05,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n11599,2013/06/06,I did biking on 2013/06/06.,I did biking on 2013/06/06.\n11600,2013/06/06,\"I had breakfast with Kayden, Andrew, Carter. I ate toast and cheese.\",\"I had breakfast with Kayden, Andrew, Carter. I ate toast and cheese.\"\n11601,2013/06/06,I ate a burger for lunch.,I ate a burger for lunch.\n11602,2013/06/06,\"I had dinner with Andrew, Emily, Kayden. I ate chinese food.\",\"I had dinner with Andrew, Emily, Kayden. I ate chinese food.\"\n11603,2013/06/06,\"I talked to Eva, Hazel, Nevaeh for 36 minutes in the morning.\",\"I talked to Eva, Hazel, Nevaeh for 36 minutes in the morning.\"\n11604,2013/06/06,\"I spent 52 talking to Olivia, Eva, Avery on various topics late in the evening.\",\"I spent 52 talking to Olivia, Eva, Avery on various topics late in the evening.\"\n11605,2013/06/06,\"I talked to Olivia, Rylee, Layla, Eva for 17 minutes in the morning.\",\"I talked to Olivia, Rylee, Layla, Eva for 17 minutes in the morning.\"\n11606,2013/06/06,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n11607,2013/06/06,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n11608,2013/06/07,I did biking on 2013/06/07.,I did biking on 2013/06/07.\n11609,2013/06/07,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n11610,2013/06/07,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n11611,2013/06/07,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n11612,2013/06/07,\"I spent 46 talking to Hazel, Avery on various topics in the early evening.\",\"I spent 46 talking to Hazel, Avery on various topics in the early evening.\"\n11613,2013/06/07,\"I talked to Nora, Piper, Nevaeh for 34 minutes in the early evening.\",\"I talked to Nora, Piper, Nevaeh for 34 minutes in the early evening.\"\n11614,2013/06/07,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n11615,2013/06/07,I watched news for 15 minutes on TV today.,I watched news for 15 minutes on TV today.\n11616,2013/06/08,I did weight lifting on 2013/06/08.,I did weight lifting on 2013/06/08.\n11617,2013/06/08,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n11618,2013/06/08,\"I had steak for lunch with Carter, Andrew, Emily, Kayden\",\"I had steak for lunch with Carter, Andrew, Emily, Kayden\"\n11619,2013/06/08,I prepare tacos for dinner.,I prepare tacos for dinner.\n11620,2013/06/08,I talked to Kinsley for 31 minutes late in the evening.,I talked to Kinsley for 31 minutes late in the evening.\n11621,2013/06/08,\"I talked to Nora, Piper, Kinsley for 5 minutes late in the evening.\",\"I talked to Nora, Piper, Kinsley for 5 minutes late in the evening.\"\n11622,2013/06/08,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n11623,2013/06/08,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n11624,2013/06/09,\"On 2013/06/09, I took Isla on a date to a boba shop\",\"On 2013/06/09, I took Isla on a date to a boba shop\"\n11625,2013/06/09,I did running on 2013/06/09.,I did running on 2013/06/09.\n11626,2013/06/09,I ate cereals for breakfast.,I ate cereals for breakfast.\n11627,2013/06/09,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n11628,2013/06/09,\"I had dinner with Eva, Kinsley, Layla, Hazel, Piper, Rylee, Claire, Lydia, Piper, Nevaeh, Avery, Nora, Olivia. I ate chinese food.\",\"I had dinner with Eva, Kinsley, Layla, Hazel, Piper, Rylee, Claire, Lydia, Piper, Nevaeh, Avery, Nora, Olivia. I ate chinese food.\"\n11629,2013/06/09,\"I talked to Olivia, Nevaeh, Piper for 30 minutes in the morning.\",\"I talked to Olivia, Nevaeh, Piper for 30 minutes in the morning.\"\n11630,2013/06/09,I talked to Layla for 15 minutes during lunch hours.,I talked to Layla for 15 minutes during lunch hours.\n11631,2013/06/09,\"I talked to Rylee, Nevaeh, Eva, Olivia for 54 minutes during lunch hours.\",\"I talked to Rylee, Nevaeh, Eva, Olivia for 54 minutes during lunch hours.\"\n11632,2013/06/09,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n11633,2013/06/09,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n11634,2013/06/10,I did running on 2013/06/10.,I did running on 2013/06/10.\n11635,2013/06/10,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n11636,2013/06/10,\"I had lunch with Andrew, Emily, Kayden. I ate fish and chips.\",\"I had lunch with Andrew, Emily, Kayden. I ate fish and chips.\"\n11637,2013/06/10,I ate sushi for dinner.,I ate sushi for dinner.\n11638,2013/06/10,I spent 53 talking to Hazel on various topics late in the evening.,I spent 53 talking to Hazel on various topics late in the evening.\n11639,2013/06/10,\"I talked to Claire, Eva, Piper for 30 minutes during lunch hours.\",\"I talked to Claire, Eva, Piper for 30 minutes during lunch hours.\"\n11640,2013/06/10,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n11641,2013/06/10,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n11642,2013/06/11,I went on a date with Roman on 2013/06/11 at a park,I went on a date with Roman on 2013/06/11 at a park\n11643,2013/06/11,\"I bought some clementines, apples, apricots, mandarins, mineral water, mouth wash, conditioner, mouthwash, shaving cream from the grocery store. I saw Benjamin at the grocery store.\",\"I bought some clementines, apples, apricots, mandarins, mineral water, mouth wash, conditioner, mouthwash, shaving cream from the grocery store. I saw Benjamin at the grocery store.\"\n11644,2013/06/11,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n11645,2013/06/11,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n11646,2013/06/11,\"I had pasta for dinner with Emily, Kayden\",\"I had pasta for dinner with Emily, Kayden\"\n11647,2013/06/11,\"I spent 52 talking to Nevaeh, Piper on various topics in the morning.\",\"I spent 52 talking to Nevaeh, Piper on various topics in the morning.\"\n11648,2013/06/11,\"I spent 10 talking to Kinsley, Claire, Hazel on various topics in the morning.\",\"I spent 10 talking to Kinsley, Claire, Hazel on various topics in the morning.\"\n11649,2013/06/11,I talked to Piper for 12 minutes late in the evening.,I talked to Piper for 12 minutes late in the evening.\n11650,2013/06/11,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n11651,2013/06/11,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n11652,2013/06/12,I did HIIT on 2013/06/12.,I did HIIT on 2013/06/12.\n11653,2013/06/12,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n11654,2013/06/12,I ate chinese food for lunch.,I ate chinese food for lunch.\n11655,2013/06/12,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n11656,2013/06/12,\"I talked to Lydia, Rylee, Hazel for 12 minutes in the early evening.\",\"I talked to Lydia, Rylee, Hazel for 12 minutes in the early evening.\"\n11657,2013/06/12,\"I talked to Eva, Avery, Kinsley, Layla for 45 minutes in the morning.\",\"I talked to Eva, Avery, Kinsley, Layla for 45 minutes in the morning.\"\n11658,2013/06/12,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n11659,2013/06/12,I watched a tv series for 14 minutes on TV today.,I watched a tv series for 14 minutes on TV today.\n11660,2013/06/13,I did weight lifting on 2013/06/13.,I did weight lifting on 2013/06/13.\n11661,2013/06/13,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n11662,2013/06/13,I ate tacos for lunch.,I ate tacos for lunch.\n11663,2013/06/13,\"I had indian food for dinner with Emily, Carter, Andrew\",\"I had indian food for dinner with Emily, Carter, Andrew\"\n11664,2013/06/13,\"I talked to Lydia, Olivia for 54 minutes in the early evening.\",\"I talked to Lydia, Olivia for 54 minutes in the early evening.\"\n11665,2013/06/13,\"I spent 31 talking to Hazel, Nevaeh on various topics during lunch hours.\",\"I spent 31 talking to Hazel, Nevaeh on various topics during lunch hours.\"\n11666,2013/06/13,\"I talked to Rylee, Piper, Hazel for 46 minutes in the late afternoon.\",\"I talked to Rylee, Piper, Hazel for 46 minutes in the late afternoon.\"\n11667,2013/06/13,\"I spent 14 talking to Hazel, Claire, Piper on various topics during lunch hours.\",\"I spent 14 talking to Hazel, Claire, Piper on various topics during lunch hours.\"\n11668,2013/06/13,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n11669,2013/06/13,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n11670,2013/06/14,I did running on 2013/06/14.,I did running on 2013/06/14.\n11671,2013/06/14,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n11672,2013/06/14,\"I had pasta for lunch with Carter, Andrew, Kayden, Emily\",\"I had pasta for lunch with Carter, Andrew, Kayden, Emily\"\n11673,2013/06/14,I prepare indian food for dinner.,I prepare indian food for dinner.\n11674,2013/06/14,\"I talked to Kinsley, Eva, Hazel for 44 minutes late in the evening.\",\"I talked to Kinsley, Eva, Hazel for 44 minutes late in the evening.\"\n11675,2013/06/14,\"I talked to Claire, Olivia, Rylee, Nora for 55 minutes late in the evening.\",\"I talked to Claire, Olivia, Rylee, Nora for 55 minutes late in the evening.\"\n11676,2013/06/14,\"I talked to Piper, Hazel, Eva, Nevaeh for 53 minutes in the late afternoon.\",\"I talked to Piper, Hazel, Eva, Nevaeh for 53 minutes in the late afternoon.\"\n11677,2013/06/14,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n11678,2013/06/14,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n11679,2013/06/15,I did running on 2013/06/15.,I did running on 2013/06/15.\n11680,2013/06/15,\"I had breakfast with Nevaeh, Eva, Kinsley, Avery, Nora, Claire, Lydia. I ate eggs, sausages, and bread.\",\"I had breakfast with Nevaeh, Eva, Kinsley, Avery, Nora, Claire, Lydia. I ate eggs, sausages, and bread.\"\n11681,2013/06/15,\"I had tacos for lunch with Andrew, Carter\",\"I had tacos for lunch with Andrew, Carter\"\n11682,2013/06/15,I prepare a burger for dinner.,I prepare a burger for dinner.\n11683,2013/06/15,\"I talked to Nora, Piper, Claire, Nevaeh for 19 minutes in the early evening.\",\"I talked to Nora, Piper, Claire, Nevaeh for 19 minutes in the early evening.\"\n11684,2013/06/15,\"I spent 37 talking to Nevaeh, Olivia, Hazel on various topics in the morning.\",\"I spent 37 talking to Nevaeh, Olivia, Hazel on various topics in the morning.\"\n11685,2013/06/15,\"I spent 18 talking to Claire, Eva on various topics in the late afternoon.\",\"I spent 18 talking to Claire, Eva on various topics in the late afternoon.\"\n11686,2013/06/15,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n11687,2013/06/15,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n11688,2013/06/16,I went on a date with Elizabeth on 2013/06/16 at a park,I went on a date with Elizabeth on 2013/06/16 at a park\n11689,2013/06/16,I did biking on 2013/06/16.,I did biking on 2013/06/16.\n11690,2013/06/16,\"I had breakfast with Piper, Avery, Hazel, Nevaeh, Piper, Eva, Layla, Rylee, Lydia, Olivia. I ate oatmeal.\",\"I had breakfast with Piper, Avery, Hazel, Nevaeh, Piper, Eva, Layla, Rylee, Lydia, Olivia. I ate oatmeal.\"\n11691,2013/06/16,I ate a burger for lunch.,I ate a burger for lunch.\n11692,2013/06/16,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n11693,2013/06/16,I spent 45 talking to Rylee on various topics during lunch hours.,I spent 45 talking to Rylee on various topics during lunch hours.\n11694,2013/06/16,\"I talked to Kinsley, Piper for 6 minutes in the early afternoon.\",\"I talked to Kinsley, Piper for 6 minutes in the early afternoon.\"\n11695,2013/06/16,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n11696,2013/06/16,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n11697,2013/06/17,I really enjoyed meditation on 2013/06/17,I really enjoyed meditation on 2013/06/17\n11698,2013/06/17,I did biking on 2013/06/17.,I did biking on 2013/06/17.\n11699,2013/06/17,\"I had peanut-butter-jam for breakfast with Kayden, Emily\",\"I had peanut-butter-jam for breakfast with Kayden, Emily\"\n11700,2013/06/17,I had lunch. I ate steak.,I had lunch. I ate steak.\n11701,2013/06/17,I had dinner. I ate steak.,I had dinner. I ate steak.\n11702,2013/06/17,\"I spent 13 talking to Nora, Lydia on various topics in the morning.\",\"I spent 13 talking to Nora, Lydia on various topics in the morning.\"\n11703,2013/06/17,I spent 55 talking to Olivia on various topics in the early afternoon.,I spent 55 talking to Olivia on various topics in the early afternoon.\n11704,2013/06/17,I spent 38 talking to Piper on various topics in the late afternoon.,I spent 38 talking to Piper on various topics in the late afternoon.\n11705,2013/06/17,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n11706,2013/06/17,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n11707,2013/06/18,I spent some time yoga on 2013/06/18.,I spent some time yoga on 2013/06/18.\n11708,2013/06/18,I did weight lifting on 2013/06/18.,I did weight lifting on 2013/06/18.\n11709,2013/06/18,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n11710,2013/06/18,I ate indian food for lunch.,I ate indian food for lunch.\n11711,2013/06/18,I prepare indian food for dinner.,I prepare indian food for dinner.\n11712,2013/06/18,\"I talked to Layla, Rylee, Nora, Claire for 43 minutes in the early evening.\",\"I talked to Layla, Rylee, Nora, Claire for 43 minutes in the early evening.\"\n11713,2013/06/18,\"I talked to Olivia, Piper, Nevaeh, Hazel for 16 minutes during lunch hours.\",\"I talked to Olivia, Piper, Nevaeh, Hazel for 16 minutes during lunch hours.\"\n11714,2013/06/18,\"I talked to Lydia, Rylee for 14 minutes late in the evening.\",\"I talked to Lydia, Rylee for 14 minutes late in the evening.\"\n11715,2013/06/18,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n11716,2013/06/18,I watched a documentary for 35 minutes on TV today.,I watched a documentary for 35 minutes on TV today.\n11717,2013/06/19,\"I had breakfast with Carter, Kayden. I ate toast and cheese.\",\"I had breakfast with Carter, Kayden. I ate toast and cheese.\"\n11718,2013/06/19,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n11719,2013/06/19,I ate indian food for dinner.,I ate indian food for dinner.\n11720,2013/06/19,I talked to Piper for 5 minutes during lunch hours.,I talked to Piper for 5 minutes during lunch hours.\n11721,2013/06/19,\"I talked to Nora, Eva, Avery for 54 minutes during lunch hours.\",\"I talked to Nora, Eva, Avery for 54 minutes during lunch hours.\"\n11722,2013/06/19,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n11723,2013/06/19,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n11724,2013/06/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n11725,2013/06/20,\"I had lunch with Eva, Olivia, Layla, Hazel, Avery. I ate sandwich.\",\"I had lunch with Eva, Olivia, Layla, Hazel, Avery. I ate sandwich.\"\n11726,2013/06/20,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n11727,2013/06/20,I spent 48 talking to Olivia on various topics in the early afternoon.,I spent 48 talking to Olivia on various topics in the early afternoon.\n11728,2013/06/20,\"I spent 45 talking to Eva, Olivia, Hazel on various topics in the late afternoon.\",\"I spent 45 talking to Eva, Olivia, Hazel on various topics in the late afternoon.\"\n11729,2013/06/20,I spent 12 talking to Rylee on various topics during lunch hours.,I spent 12 talking to Rylee on various topics during lunch hours.\n11730,2013/06/20,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n11731,2013/06/20,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n11732,2013/06/21,I did HIIT on 2013/06/21.,I did HIIT on 2013/06/21.\n11733,2013/06/21,\"I had toast and cheese for breakfast with Andrew, Kayden, Carter\",\"I had toast and cheese for breakfast with Andrew, Kayden, Carter\"\n11734,2013/06/21,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n11735,2013/06/21,I ate a burger for dinner.,I ate a burger for dinner.\n11736,2013/06/21,\"I spent 28 talking to Layla, Hazel, Lydia on various topics in the early evening.\",\"I spent 28 talking to Layla, Hazel, Lydia on various topics in the early evening.\"\n11737,2013/06/21,\"I spent 26 talking to Avery, Olivia on various topics in the early afternoon.\",\"I spent 26 talking to Avery, Olivia on various topics in the early afternoon.\"\n11738,2013/06/21,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n11739,2013/06/21,I watched a tv series for 46 minutes on TV today.,I watched a tv series for 46 minutes on TV today.\n11740,2013/06/22,I went on a date with Caleb on 2013/06/22 at a coffee Shop,I went on a date with Caleb on 2013/06/22 at a coffee Shop\n11741,2013/06/22,I spent some time meditation on 2013/06/22.,I spent some time meditation on 2013/06/22.\n11742,2013/06/22,I did weight lifting on 2013/06/22.,I did weight lifting on 2013/06/22.\n11743,2013/06/22,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n11744,2013/06/22,I ate steak for lunch.,I ate steak for lunch.\n11745,2013/06/22,\"I had dinner with Willow, Avery, Jackson. I ate fish and chips.\",\"I had dinner with Willow, Avery, Jackson. I ate fish and chips.\"\n11746,2013/06/22,\"I talked to Nevaeh, Rylee, Nora for 31 minutes late in the evening.\",\"I talked to Nevaeh, Rylee, Nora for 31 minutes late in the evening.\"\n11747,2013/06/22,\"I spent 33 talking to Kinsley, Nora, Piper, Piper on various topics during lunch hours.\",\"I spent 33 talking to Kinsley, Nora, Piper, Piper on various topics during lunch hours.\"\n11748,2013/06/22,\"I spent 38 talking to Kinsley, Lydia, Layla on various topics in the late afternoon.\",\"I spent 38 talking to Kinsley, Lydia, Layla on various topics in the late afternoon.\"\n11749,2013/06/22,\"I talked to Hazel, Kinsley, Rylee for 18 minutes during lunch hours.\",\"I talked to Hazel, Kinsley, Rylee for 18 minutes during lunch hours.\"\n11750,2013/06/22,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n11751,2013/06/22,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n11752,2013/06/23,\"I went grocery shopping with Willow, Avery, Jackson, Benjamin. I bought some bananas, pineapples, blueberries, blackberries, coffee, milk, and toothbrush, shaving cream, paper towel, toothpaste\",\"I went grocery shopping with Willow, Avery, Jackson, Benjamin. I bought some bananas, pineapples, blueberries, blackberries, coffee, milk, and toothbrush, shaving cream, paper towel, toothpaste\"\n11753,2013/06/23,I ate cereals for breakfast.,I ate cereals for breakfast.\n11754,2013/06/23,\"I had lunch with Carter, Emily. I ate a burger.\",\"I had lunch with Carter, Emily. I ate a burger.\"\n11755,2013/06/23,I prepare steak for dinner.,I prepare steak for dinner.\n11756,2013/06/23,I spent 29 talking to Olivia on various topics in the late afternoon.,I spent 29 talking to Olivia on various topics in the late afternoon.\n11757,2013/06/23,\"I spent 43 talking to Claire, Rylee, Kinsley on various topics late in the evening.\",\"I spent 43 talking to Claire, Rylee, Kinsley on various topics late in the evening.\"\n11758,2013/06/23,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n11759,2013/06/23,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n11760,2013/06/24,I did HIIT on 2013/06/24.,I did HIIT on 2013/06/24.\n11761,2013/06/24,\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate eggs, sausages, and bread.\"\n11762,2013/06/24,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n11763,2013/06/24,I ate tacos for dinner.,I ate tacos for dinner.\n11764,2013/06/24,\"I spent 49 talking to Nora, Nevaeh, Claire on various topics during lunch hours.\",\"I spent 49 talking to Nora, Nevaeh, Claire on various topics during lunch hours.\"\n11765,2013/06/24,\"I talked to Layla, Hazel for 52 minutes during lunch hours.\",\"I talked to Layla, Hazel for 52 minutes during lunch hours.\"\n11766,2013/06/24,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n11767,2013/06/24,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n11768,2013/06/25,\"On 2013/06/25, I took Marzieh on a date to a park\",\"On 2013/06/25, I took Marzieh on a date to a park\"\n11769,2013/06/25,\"I spent time yoga on 2013/06/25 with Jackson, Willow.\",\"I spent time yoga on 2013/06/25 with Jackson, Willow.\"\n11770,2013/06/25,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n11771,2013/06/25,I ate a burger for lunch.,I ate a burger for lunch.\n11772,2013/06/25,\"I had tacos for dinner with Layla, Piper, Hazel, Nevaeh, Eva, Rylee, Piper, Lydia, Kinsley, Nora, Avery\",\"I had tacos for dinner with Layla, Piper, Hazel, Nevaeh, Eva, Rylee, Piper, Lydia, Kinsley, Nora, Avery\"\n11773,2013/06/25,\"I spent 44 talking to Nora, Olivia, Piper, Piper on various topics during lunch hours.\",\"I spent 44 talking to Nora, Olivia, Piper, Piper on various topics during lunch hours.\"\n11774,2013/06/25,\"I spent 55 talking to Claire, Lydia, Eva, Piper on various topics in the morning.\",\"I spent 55 talking to Claire, Lydia, Eva, Piper on various topics in the morning.\"\n11775,2013/06/25,\"I talked to Lydia, Hazel, Olivia for 9 minutes in the early evening.\",\"I talked to Lydia, Hazel, Olivia for 9 minutes in the early evening.\"\n11776,2013/06/25,\"I spent 34 talking to Claire, Kinsley, Nora on various topics late in the evening.\",\"I spent 34 talking to Claire, Kinsley, Nora on various topics late in the evening.\"\n11777,2013/06/25,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n11778,2013/06/25,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n11779,2013/06/26,I did running on 2013/06/26.,I did running on 2013/06/26.\n11780,2013/06/26,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n11781,2013/06/26,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n11782,2013/06/26,\"I had a burger for dinner with Piper, Kinsley, Nora\",\"I had a burger for dinner with Piper, Kinsley, Nora\"\n11783,2013/06/26,\"I spent 51 talking to Lydia, Eva, Piper on various topics in the late afternoon.\",\"I spent 51 talking to Lydia, Eva, Piper on various topics in the late afternoon.\"\n11784,2013/06/26,I talked to Olivia for 27 minutes in the late afternoon.,I talked to Olivia for 27 minutes in the late afternoon.\n11785,2013/06/26,\"I spent 10 talking to Hazel, Avery on various topics in the late afternoon.\",\"I spent 10 talking to Hazel, Avery on various topics in the late afternoon.\"\n11786,2013/06/26,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n11787,2013/06/26,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n11788,2013/06/27,I did swimming on 2013/06/27.,I did swimming on 2013/06/27.\n11789,2013/06/27,\"I had breakfast with Eva, Nora, Olivia, Piper, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Eva, Nora, Olivia, Piper, Avery. I ate peanut-butter-jam.\"\n11790,2013/06/27,I prepare pasta for lunch.,I prepare pasta for lunch.\n11791,2013/06/27,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n11792,2013/06/27,\"I spent 7 talking to Avery, Rylee on various topics in the late afternoon.\",\"I spent 7 talking to Avery, Rylee on various topics in the late afternoon.\"\n11793,2013/06/27,I spent 43 talking to Olivia on various topics in the early evening.,I spent 43 talking to Olivia on various topics in the early evening.\n11794,2013/06/27,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n11795,2013/06/27,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n11796,2013/06/28,\"I went grocery shopping. I bought some watermelons, apples, nectarines, milk, coffee, and paper towel, mouth wash, mouthwash, toothbrush\",\"I went grocery shopping. I bought some watermelons, apples, nectarines, milk, coffee, and paper towel, mouth wash, mouthwash, toothbrush\"\n11797,2013/06/28,I did hiking on 2013/06/28.,I did hiking on 2013/06/28.\n11798,2013/06/28,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n11799,2013/06/28,\"I had lunch with Jackson, Willow, Benjamin. I ate a burger.\",\"I had lunch with Jackson, Willow, Benjamin. I ate a burger.\"\n11800,2013/06/28,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n11801,2013/06/28,\"I talked to Avery, Olivia, Hazel, Claire for 42 minutes in the early afternoon.\",\"I talked to Avery, Olivia, Hazel, Claire for 42 minutes in the early afternoon.\"\n11802,2013/06/28,I spent 6 talking to Layla on various topics late in the evening.,I spent 6 talking to Layla on various topics late in the evening.\n11803,2013/06/28,I talked to Nora for 40 minutes in the late afternoon.,I talked to Nora for 40 minutes in the late afternoon.\n11804,2013/06/28,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n11805,2013/06/28,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n11806,2013/06/29,I did hiking on 2013/06/29.,I did hiking on 2013/06/29.\n11807,2013/06/29,\"I had breakfast with Claire, Avery, Piper, Hazel, Nevaeh, Nora, Lydia, Olivia, Layla, Kinsley, Piper, Rylee, Eva. I ate peanut-butter-jam.\",\"I had breakfast with Claire, Avery, Piper, Hazel, Nevaeh, Nora, Lydia, Olivia, Layla, Kinsley, Piper, Rylee, Eva. I ate peanut-butter-jam.\"\n11808,2013/06/29,I had a burger for lunch with Willow,I had a burger for lunch with Willow\n11809,2013/06/29,\"I had dinner with Andrew, Carter, Emily. I ate sandwich.\",\"I had dinner with Andrew, Carter, Emily. I ate sandwich.\"\n11810,2013/06/29,\"I spent 54 talking to Eva, Nevaeh on various topics in the early evening.\",\"I spent 54 talking to Eva, Nevaeh on various topics in the early evening.\"\n11811,2013/06/29,\"I talked to Piper, Eva for 9 minutes in the early evening.\",\"I talked to Piper, Eva for 9 minutes in the early evening.\"\n11812,2013/06/29,I talked to Lydia for 36 minutes late in the evening.,I talked to Lydia for 36 minutes late in the evening.\n11813,2013/06/29,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n11814,2013/06/29,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n11815,2013/06/30,I did biking on 2013/06/30.,I did biking on 2013/06/30.\n11816,2013/06/30,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n11817,2013/06/30,I ate pasta for lunch.,I ate pasta for lunch.\n11818,2013/06/30,I had chinese food for dinner with Avery,I had chinese food for dinner with Avery\n11819,2013/06/30,\"I talked to Layla, Eva, Lydia, Kinsley for 11 minutes in the late afternoon.\",\"I talked to Layla, Eva, Lydia, Kinsley for 11 minutes in the late afternoon.\"\n11820,2013/06/30,I spent 41 talking to Piper on various topics during lunch hours.,I spent 41 talking to Piper on various topics during lunch hours.\n11821,2013/06/30,\"I talked to Piper, Layla for 8 minutes in the early evening.\",\"I talked to Piper, Layla for 8 minutes in the early evening.\"\n11822,2013/06/30,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n11823,2013/06/30,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n11824,2013/07/01,I went on a date with Elijah on 2013/07/01 at a park,I went on a date with Elijah on 2013/07/01 at a park\n11825,2013/07/01,I did running on 2013/07/01.,I did running on 2013/07/01.\n11826,2013/07/01,\"I had breakfast with Carter, Kayden, Emily. I ate cereals.\",\"I had breakfast with Carter, Kayden, Emily. I ate cereals.\"\n11827,2013/07/01,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n11828,2013/07/01,I prepare pasta for dinner.,I prepare pasta for dinner.\n11829,2013/07/01,\"I spent 52 talking to Kinsley, Piper on various topics in the early evening.\",\"I spent 52 talking to Kinsley, Piper on various topics in the early evening.\"\n11830,2013/07/01,\"I talked to Layla, Hazel for 8 minutes in the morning.\",\"I talked to Layla, Hazel for 8 minutes in the morning.\"\n11831,2013/07/01,\"I spent 34 talking to Nora, Kinsley, Claire, Rylee on various topics late in the evening.\",\"I spent 34 talking to Nora, Kinsley, Claire, Rylee on various topics late in the evening.\"\n11832,2013/07/01,I spent 24 talking to Piper on various topics in the early afternoon.,I spent 24 talking to Piper on various topics in the early afternoon.\n11833,2013/07/01,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n11834,2013/07/01,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n11835,2013/07/02,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n11836,2013/07/02,\"I had lunch with Andrew, Carter, Kayden. I ate sandwich.\",\"I had lunch with Andrew, Carter, Kayden. I ate sandwich.\"\n11837,2013/07/02,\"I had chinese food for dinner with Piper, Nevaeh, Eva, Nora, Claire\",\"I had chinese food for dinner with Piper, Nevaeh, Eva, Nora, Claire\"\n11838,2013/07/02,\"I spent 32 talking to Kinsley, Olivia on various topics during lunch hours.\",\"I spent 32 talking to Kinsley, Olivia on various topics during lunch hours.\"\n11839,2013/07/02,\"I talked to Kinsley, Layla, Hazel for 20 minutes in the early afternoon.\",\"I talked to Kinsley, Layla, Hazel for 20 minutes in the early afternoon.\"\n11840,2013/07/02,I spent 18 talking to Nora on various topics in the early evening.,I spent 18 talking to Nora on various topics in the early evening.\n11841,2013/07/02,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n11842,2013/07/02,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n11843,2013/07/03,I did running on 2013/07/03.,I did running on 2013/07/03.\n11844,2013/07/03,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n11845,2013/07/03,\"I had lunch with Kayden, Emily, Andrew. I ate sandwich.\",\"I had lunch with Kayden, Emily, Andrew. I ate sandwich.\"\n11846,2013/07/03,I ate tacos for dinner.,I ate tacos for dinner.\n11847,2013/07/03,I spent 33 talking to Eva on various topics in the morning.,I spent 33 talking to Eva on various topics in the morning.\n11848,2013/07/03,\"I talked to Eva, Avery, Kinsley for 25 minutes during lunch hours.\",\"I talked to Eva, Avery, Kinsley for 25 minutes during lunch hours.\"\n11849,2013/07/03,\"I talked to Claire, Eva, Piper, Avery for 43 minutes in the early evening.\",\"I talked to Claire, Eva, Piper, Avery for 43 minutes in the early evening.\"\n11850,2013/07/03,\"I spent 33 talking to Lydia, Nevaeh on various topics in the early afternoon.\",\"I spent 33 talking to Lydia, Nevaeh on various topics in the early afternoon.\"\n11851,2013/07/03,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n11852,2013/07/03,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n11853,2013/07/04,I did biking on 2013/07/04.,I did biking on 2013/07/04.\n11854,2013/07/04,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n11855,2013/07/04,\"I had chinese food for lunch with Kayden, Carter, Andrew, Emily\",\"I had chinese food for lunch with Kayden, Carter, Andrew, Emily\"\n11856,2013/07/04,\"I had a burger for dinner with Willow, Benjamin\",\"I had a burger for dinner with Willow, Benjamin\"\n11857,2013/07/04,\"I spent 49 talking to Eva, Hazel, Claire on various topics during lunch hours.\",\"I spent 49 talking to Eva, Hazel, Claire on various topics during lunch hours.\"\n11858,2013/07/04,\"I talked to Olivia, Avery, Claire for 14 minutes in the late afternoon.\",\"I talked to Olivia, Avery, Claire for 14 minutes in the late afternoon.\"\n11859,2013/07/04,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n11860,2013/07/04,I watched a tv series for 16 minutes on TV today.,I watched a tv series for 16 minutes on TV today.\n11861,2013/07/05,I did HIIT on 2013/07/05.,I did HIIT on 2013/07/05.\n11862,2013/07/05,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n11863,2013/07/05,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n11864,2013/07/05,I prepare sushi for dinner.,I prepare sushi for dinner.\n11865,2013/07/05,I talked to Piper for 23 minutes in the early afternoon.,I talked to Piper for 23 minutes in the early afternoon.\n11866,2013/07/05,\"I spent 42 talking to Avery, Layla, Eva, Lydia on various topics in the morning.\",\"I spent 42 talking to Avery, Layla, Eva, Lydia on various topics in the morning.\"\n11867,2013/07/05,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n11868,2013/07/05,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n11869,2013/07/06,I did hiking on 2013/07/06.,I did hiking on 2013/07/06.\n11870,2013/07/06,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n11871,2013/07/06,I had sandwich for lunch with Benjamin,I had sandwich for lunch with Benjamin\n11872,2013/07/06,I ate chinese food for dinner.,I ate chinese food for dinner.\n11873,2013/07/06,\"I spent 12 talking to Hazel, Piper on various topics late in the evening.\",\"I spent 12 talking to Hazel, Piper on various topics late in the evening.\"\n11874,2013/07/06,I spent 10 talking to Nora on various topics during lunch hours.,I spent 10 talking to Nora on various topics during lunch hours.\n11875,2013/07/06,\"I spent 52 talking to Nevaeh, Kinsley on various topics late in the evening.\",\"I spent 52 talking to Nevaeh, Kinsley on various topics late in the evening.\"\n11876,2013/07/06,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n11877,2013/07/06,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n11878,2013/07/07,\"I went grocery shopping with Jackson. I bought some pears, cherres, apple juice, soda, and paper towel\",\"I went grocery shopping with Jackson. I bought some pears, cherres, apple juice, soda, and paper towel\"\n11879,2013/07/07,I did weight lifting on 2013/07/07.,I did weight lifting on 2013/07/07.\n11880,2013/07/07,\"I had breakfast with Carter, Kayden, Andrew. I ate pancakes.\",\"I had breakfast with Carter, Kayden, Andrew. I ate pancakes.\"\n11881,2013/07/07,I had indian food for lunch with Willow,I had indian food for lunch with Willow\n11882,2013/07/07,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n11883,2013/07/07,\"I spent 20 talking to Hazel, Layla on various topics during lunch hours.\",\"I spent 20 talking to Hazel, Layla on various topics during lunch hours.\"\n11884,2013/07/07,I spent 31 talking to Olivia on various topics in the early afternoon.,I spent 31 talking to Olivia on various topics in the early afternoon.\n11885,2013/07/07,\"I spent 20 talking to Avery, Nevaeh, Nora, Piper on various topics during lunch hours.\",\"I spent 20 talking to Avery, Nevaeh, Nora, Piper on various topics during lunch hours.\"\n11886,2013/07/07,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n11887,2013/07/07,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n11888,2013/07/08,I did hiking on 2013/07/08.,I did hiking on 2013/07/08.\n11889,2013/07/08,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n11890,2013/07/08,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n11891,2013/07/08,\"I had dinner with Andrew, Kayden, Emily. I ate chinese food.\",\"I had dinner with Andrew, Kayden, Emily. I ate chinese food.\"\n11892,2013/07/08,\"I talked to Rylee, Avery, Layla for 24 minutes in the late afternoon.\",\"I talked to Rylee, Avery, Layla for 24 minutes in the late afternoon.\"\n11893,2013/07/08,\"I talked to Avery, Piper, Olivia, Claire for 30 minutes during lunch hours.\",\"I talked to Avery, Piper, Olivia, Claire for 30 minutes during lunch hours.\"\n11894,2013/07/08,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n11895,2013/07/08,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n11896,2013/07/09,\"I went grocery shopping with Kayden, Emily, Carter. I bought some cherres, blueberries, raspberries, guava juice, apple juice, milk, and mouth wash, conditioner, toothpaste, shampoo\",\"I went grocery shopping with Kayden, Emily, Carter. I bought some cherres, blueberries, raspberries, guava juice, apple juice, milk, and mouth wash, conditioner, toothpaste, shampoo\"\n11897,2013/07/09,I did weight lifting on 2013/07/09.,I did weight lifting on 2013/07/09.\n11898,2013/07/09,\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate toast and cheese.\",\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate toast and cheese.\"\n11899,2013/07/09,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n11900,2013/07/09,I ate a burger for dinner.,I ate a burger for dinner.\n11901,2013/07/09,\"I talked to Claire, Lydia for 10 minutes in the early afternoon.\",\"I talked to Claire, Lydia for 10 minutes in the early afternoon.\"\n11902,2013/07/09,I spent 16 talking to Eva on various topics in the late afternoon.,I spent 16 talking to Eva on various topics in the late afternoon.\n11903,2013/07/09,\"I talked to Lydia, Kinsley, Hazel, Nora for 11 minutes late in the evening.\",\"I talked to Lydia, Kinsley, Hazel, Nora for 11 minutes late in the evening.\"\n11904,2013/07/09,I spent 52 talking to Piper on various topics in the morning.,I spent 52 talking to Piper on various topics in the morning.\n11905,2013/07/09,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n11906,2013/07/09,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n11907,2013/07/10,\"I spent time learning a language on 2013/07/10 with Benjamin, Willow.\",\"I spent time learning a language on 2013/07/10 with Benjamin, Willow.\"\n11908,2013/07/10,I did HIIT on 2013/07/10.,I did HIIT on 2013/07/10.\n11909,2013/07/10,\"I had breakfast with Piper, Lydia, Piper, Olivia, Layla. I ate toast and cheese.\",\"I had breakfast with Piper, Lydia, Piper, Olivia, Layla. I ate toast and cheese.\"\n11910,2013/07/10,I ate tacos for lunch.,I ate tacos for lunch.\n11911,2013/07/10,I had dinner with Carter. I ate chinese food.,I had dinner with Carter. I ate chinese food.\n11912,2013/07/10,\"I spent 8 talking to Kinsley, Nevaeh, Piper, Hazel on various topics late in the evening.\",\"I spent 8 talking to Kinsley, Nevaeh, Piper, Hazel on various topics late in the evening.\"\n11913,2013/07/10,I talked to Lydia for 50 minutes in the early evening.,I talked to Lydia for 50 minutes in the early evening.\n11914,2013/07/10,I talked to Avery for 13 minutes in the early afternoon.,I talked to Avery for 13 minutes in the early afternoon.\n11915,2013/07/10,\"I talked to Rylee, Piper, Kinsley for 9 minutes in the late afternoon.\",\"I talked to Rylee, Piper, Kinsley for 9 minutes in the late afternoon.\"\n11916,2013/07/10,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n11917,2013/07/10,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n11918,2013/07/11,I did HIIT on 2013/07/11.,I did HIIT on 2013/07/11.\n11919,2013/07/11,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n11920,2013/07/11,I ate chinese food for lunch.,I ate chinese food for lunch.\n11921,2013/07/11,I ate sandwich for dinner.,I ate sandwich for dinner.\n11922,2013/07/11,\"I talked to Piper, Lydia, Claire for 54 minutes during lunch hours.\",\"I talked to Piper, Lydia, Claire for 54 minutes during lunch hours.\"\n11923,2013/07/11,\"I spent 10 talking to Piper, Kinsley, Rylee, Nevaeh on various topics late in the evening.\",\"I spent 10 talking to Piper, Kinsley, Rylee, Nevaeh on various topics late in the evening.\"\n11924,2013/07/11,I talked to Avery for 45 minutes late in the evening.,I talked to Avery for 45 minutes late in the evening.\n11925,2013/07/11,I spent 10 talking to Piper on various topics in the early afternoon.,I spent 10 talking to Piper on various topics in the early afternoon.\n11926,2013/07/11,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n11927,2013/07/11,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n11928,2013/07/12,I spent some time working out on 2013/07/12.,I spent some time working out on 2013/07/12.\n11929,2013/07/12,I did weight lifting on 2013/07/12.,I did weight lifting on 2013/07/12.\n11930,2013/07/12,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n11931,2013/07/12,I ate a burger for lunch.,I ate a burger for lunch.\n11932,2013/07/12,I prepare sushi for dinner.,I prepare sushi for dinner.\n11933,2013/07/12,\"I spent 37 talking to Olivia, Nevaeh, Layla, Rylee on various topics in the late afternoon.\",\"I spent 37 talking to Olivia, Nevaeh, Layla, Rylee on various topics in the late afternoon.\"\n11934,2013/07/12,I spent 7 talking to Eva on various topics during lunch hours.,I spent 7 talking to Eva on various topics during lunch hours.\n11935,2013/07/12,\"I spent 6 talking to Piper, Avery on various topics in the early afternoon.\",\"I spent 6 talking to Piper, Avery on various topics in the early afternoon.\"\n11936,2013/07/12,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n11937,2013/07/12,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n11938,2013/07/13,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n11939,2013/07/13,\"I had pasta for lunch with Kayden, Emily, Carter, Andrew\",\"I had pasta for lunch with Kayden, Emily, Carter, Andrew\"\n11940,2013/07/13,I ate a burger for dinner.,I ate a burger for dinner.\n11941,2013/07/13,\"I spent 12 talking to Nevaeh, Hazel on various topics in the early afternoon.\",\"I spent 12 talking to Nevaeh, Hazel on various topics in the early afternoon.\"\n11942,2013/07/13,\"I talked to Piper, Piper, Eva for 26 minutes late in the evening.\",\"I talked to Piper, Piper, Eva for 26 minutes late in the evening.\"\n11943,2013/07/13,I talked to Claire for 54 minutes late in the evening.,I talked to Claire for 54 minutes late in the evening.\n11944,2013/07/13,\"I talked to Nora, Claire, Olivia, Rylee for 27 minutes late in the evening.\",\"I talked to Nora, Claire, Olivia, Rylee for 27 minutes late in the evening.\"\n11945,2013/07/13,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n11946,2013/07/13,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n11947,2013/07/14,I did biking on 2013/07/14.,I did biking on 2013/07/14.\n11948,2013/07/14,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n11949,2013/07/14,I ate a burger for lunch.,I ate a burger for lunch.\n11950,2013/07/14,I prepare indian food for dinner.,I prepare indian food for dinner.\n11951,2013/07/14,I spent 7 talking to Hazel on various topics in the late afternoon.,I spent 7 talking to Hazel on various topics in the late afternoon.\n11952,2013/07/14,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n11953,2013/07/14,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n11954,2013/07/15,I did HIIT on 2013/07/15.,I did HIIT on 2013/07/15.\n11955,2013/07/15,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n11956,2013/07/15,I had sushi for lunch with Kayden,I had sushi for lunch with Kayden\n11957,2013/07/15,I ate sandwich for dinner.,I ate sandwich for dinner.\n11958,2013/07/15,\"I talked to Kinsley, Claire, Piper, Eva for 5 minutes in the late afternoon.\",\"I talked to Kinsley, Claire, Piper, Eva for 5 minutes in the late afternoon.\"\n11959,2013/07/15,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n11960,2013/07/15,I watched news for 36 minutes on TV today.,I watched news for 36 minutes on TV today.\n11961,2013/07/16,I did HIIT on 2013/07/16.,I did HIIT on 2013/07/16.\n11962,2013/07/16,\"I had pancakes for breakfast with Carter, Emily\",\"I had pancakes for breakfast with Carter, Emily\"\n11963,2013/07/16,\"I had lunch with Emily, Carter, Kayden, Andrew. I ate sandwich.\",\"I had lunch with Emily, Carter, Kayden, Andrew. I ate sandwich.\"\n11964,2013/07/16,\"I had dinner with Carter, Andrew, Emily, Kayden. I ate indian food.\",\"I had dinner with Carter, Andrew, Emily, Kayden. I ate indian food.\"\n11965,2013/07/16,\"I talked to Rylee, Layla, Lydia, Kinsley for 39 minutes in the early afternoon.\",\"I talked to Rylee, Layla, Lydia, Kinsley for 39 minutes in the early afternoon.\"\n11966,2013/07/16,I spent 41 talking to Piper on various topics during lunch hours.,I spent 41 talking to Piper on various topics during lunch hours.\n11967,2013/07/16,I talked to Avery for 30 minutes in the early afternoon.,I talked to Avery for 30 minutes in the early afternoon.\n11968,2013/07/16,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n11969,2013/07/16,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n11970,2013/07/17,I did hiking on 2013/07/17.,I did hiking on 2013/07/17.\n11971,2013/07/17,I ate cereals for breakfast.,I ate cereals for breakfast.\n11972,2013/07/17,I ate pasta for lunch.,I ate pasta for lunch.\n11973,2013/07/17,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n11974,2013/07/17,I spent 30 talking to Eva on various topics late in the evening.,I spent 30 talking to Eva on various topics late in the evening.\n11975,2013/07/17,\"I spent 42 talking to Nora, Olivia, Kinsley, Rylee on various topics during lunch hours.\",\"I spent 42 talking to Nora, Olivia, Kinsley, Rylee on various topics during lunch hours.\"\n11976,2013/07/17,\"I spent 35 talking to Layla, Kinsley, Piper on various topics during lunch hours.\",\"I spent 35 talking to Layla, Kinsley, Piper on various topics during lunch hours.\"\n11977,2013/07/17,\"I spent 29 talking to Eva, Piper, Rylee on various topics in the morning.\",\"I spent 29 talking to Eva, Piper, Rylee on various topics in the morning.\"\n11978,2013/07/17,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n11979,2013/07/17,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n11980,2013/07/18,\"I went grocery shopping with Willow, Jackson. I bought some blackberries, mandarins, apple juice, soda, and mouth wash, facial wash\",\"I went grocery shopping with Willow, Jackson. I bought some blackberries, mandarins, apple juice, soda, and mouth wash, facial wash\"\n11981,2013/07/18,I did HIIT on 2013/07/18.,I did HIIT on 2013/07/18.\n11982,2013/07/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n11983,2013/07/18,I prepare pasta for lunch.,I prepare pasta for lunch.\n11984,2013/07/18,I prepare pasta for dinner.,I prepare pasta for dinner.\n11985,2013/07/18,I talked to Kinsley for 17 minutes in the late afternoon.,I talked to Kinsley for 17 minutes in the late afternoon.\n11986,2013/07/18,I spent 49 talking to Kinsley on various topics in the morning.,I spent 49 talking to Kinsley on various topics in the morning.\n11987,2013/07/18,I talked to Eva for 32 minutes in the morning.,I talked to Eva for 32 minutes in the morning.\n11988,2013/07/18,\"I spent 25 talking to Layla, Lydia, Claire, Hazel on various topics in the early evening.\",\"I spent 25 talking to Layla, Lydia, Claire, Hazel on various topics in the early evening.\"\n11989,2013/07/18,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n11990,2013/07/18,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n11991,2013/07/19,\"I bought some apricots, coffee, tea, milk, soda, paper towel, toothpaste, conditioner, mouthwash from the grocery store. I saw Nora, Nevaeh, Rylee, Hazel at the grocery store.\",\"I bought some apricots, coffee, tea, milk, soda, paper towel, toothpaste, conditioner, mouthwash from the grocery store. I saw Nora, Nevaeh, Rylee, Hazel at the grocery store.\"\n11992,2013/07/19,I did HIIT on 2013/07/19.,I did HIIT on 2013/07/19.\n11993,2013/07/19,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n11994,2013/07/19,\"I had lunch with Willow, Avery, Jackson, Benjamin. I ate fish and chips.\",\"I had lunch with Willow, Avery, Jackson, Benjamin. I ate fish and chips.\"\n11995,2013/07/19,I had dinner. I ate steak.,I had dinner. I ate steak.\n11996,2013/07/19,\"I spent 53 talking to Nora, Hazel on various topics during lunch hours.\",\"I spent 53 talking to Nora, Hazel on various topics during lunch hours.\"\n11997,2013/07/19,\"I spent 29 talking to Avery, Nevaeh, Layla, Kinsley on various topics during lunch hours.\",\"I spent 29 talking to Avery, Nevaeh, Layla, Kinsley on various topics during lunch hours.\"\n11998,2013/07/19,\"I spent 22 talking to Rylee, Avery, Lydia on various topics during lunch hours.\",\"I spent 22 talking to Rylee, Avery, Lydia on various topics during lunch hours.\"\n11999,2013/07/19,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n12000,2013/07/19,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n12001,2013/07/20,I did HIIT on 2013/07/20.,I did HIIT on 2013/07/20.\n12002,2013/07/20,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12003,2013/07/20,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n12004,2013/07/20,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n12005,2013/07/20,I spent 7 talking to Piper on various topics late in the evening.,I spent 7 talking to Piper on various topics late in the evening.\n12006,2013/07/20,\"I talked to Kinsley, Olivia for 18 minutes during lunch hours.\",\"I talked to Kinsley, Olivia for 18 minutes during lunch hours.\"\n12007,2013/07/20,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n12008,2013/07/20,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n12009,2013/07/21,I did running on 2013/07/21.,I did running on 2013/07/21.\n12010,2013/07/21,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n12011,2013/07/21,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n12012,2013/07/21,\"I had dinner with Nevaeh, Kinsley, Avery, Eva, Rylee, Layla, Claire. I ate pasta.\",\"I had dinner with Nevaeh, Kinsley, Avery, Eva, Rylee, Layla, Claire. I ate pasta.\"\n12013,2013/07/21,\"I talked to Lydia, Nora, Eva for 9 minutes in the early evening.\",\"I talked to Lydia, Nora, Eva for 9 minutes in the early evening.\"\n12014,2013/07/21,\"I spent 14 talking to Kinsley, Olivia, Eva, Piper on various topics in the late afternoon.\",\"I spent 14 talking to Kinsley, Olivia, Eva, Piper on various topics in the late afternoon.\"\n12015,2013/07/21,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n12016,2013/07/21,I spent 40 minutes watching a movie on TV today.,I spent 40 minutes watching a movie on TV today.\n12017,2013/07/22,I went on a date with Kennedy on 2013/07/22 at a coffee Shop,I went on a date with Kennedy on 2013/07/22 at a coffee Shop\n12018,2013/07/22,I did swimming on 2013/07/22.,I did swimming on 2013/07/22.\n12019,2013/07/22,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n12020,2013/07/22,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n12021,2013/07/22,\"I had chinese food for dinner with Rylee, Eva, Avery, Layla, Nevaeh, Kinsley, Claire, Hazel, Lydia, Piper, Nora, Olivia\",\"I had chinese food for dinner with Rylee, Eva, Avery, Layla, Nevaeh, Kinsley, Claire, Hazel, Lydia, Piper, Nora, Olivia\"\n12022,2013/07/22,\"I spent 36 talking to Piper, Claire, Olivia on various topics during lunch hours.\",\"I spent 36 talking to Piper, Claire, Olivia on various topics during lunch hours.\"\n12023,2013/07/22,I spent 49 talking to Avery on various topics in the early afternoon.,I spent 49 talking to Avery on various topics in the early afternoon.\n12024,2013/07/22,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n12025,2013/07/22,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n12026,2013/07/23,I did running on 2013/07/23.,I did running on 2013/07/23.\n12027,2013/07/23,\"I had pancakes for breakfast with Nevaeh, Hazel, Eva, Kinsley, Rylee, Claire, Nora, Piper\",\"I had pancakes for breakfast with Nevaeh, Hazel, Eva, Kinsley, Rylee, Claire, Nora, Piper\"\n12028,2013/07/23,\"I had sandwich for lunch with Benjamin, Avery, Jackson, Willow\",\"I had sandwich for lunch with Benjamin, Avery, Jackson, Willow\"\n12029,2013/07/23,\"I had dinner with Piper, Nevaeh, Hazel, Kinsley, Claire, Eva, Nora, Olivia, Layla, Piper, Avery, Rylee, Lydia. I ate fish and chips.\",\"I had dinner with Piper, Nevaeh, Hazel, Kinsley, Claire, Eva, Nora, Olivia, Layla, Piper, Avery, Rylee, Lydia. I ate fish and chips.\"\n12030,2013/07/23,\"I spent 53 talking to Piper, Hazel, Layla, Rylee on various topics during lunch hours.\",\"I spent 53 talking to Piper, Hazel, Layla, Rylee on various topics during lunch hours.\"\n12031,2013/07/23,I spent 6 talking to Layla on various topics during lunch hours.,I spent 6 talking to Layla on various topics during lunch hours.\n12032,2013/07/23,\"I spent 31 talking to Hazel, Nora, Lydia on various topics in the morning.\",\"I spent 31 talking to Hazel, Nora, Lydia on various topics in the morning.\"\n12033,2013/07/23,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n12034,2013/07/23,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n12035,2013/07/24,I did biking on 2013/07/24.,I did biking on 2013/07/24.\n12036,2013/07/24,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n12037,2013/07/24,\"I had lunch with Jackson, Willow, Benjamin, Avery. I ate sandwich.\",\"I had lunch with Jackson, Willow, Benjamin, Avery. I ate sandwich.\"\n12038,2013/07/24,I ate pasta for dinner.,I ate pasta for dinner.\n12039,2013/07/24,\"I talked to Avery, Piper, Hazel for 38 minutes in the early afternoon.\",\"I talked to Avery, Piper, Hazel for 38 minutes in the early afternoon.\"\n12040,2013/07/24,\"I spent 42 talking to Piper, Kinsley, Lydia on various topics in the early afternoon.\",\"I spent 42 talking to Piper, Kinsley, Lydia on various topics in the early afternoon.\"\n12041,2013/07/24,\"I spent 38 talking to Lydia, Rylee on various topics in the late afternoon.\",\"I spent 38 talking to Lydia, Rylee on various topics in the late afternoon.\"\n12042,2013/07/24,I talked to Piper for 48 minutes in the early afternoon.,I talked to Piper for 48 minutes in the early afternoon.\n12043,2013/07/24,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n12044,2013/07/24,I watched a documentary for 50 minutes on TV today.,I watched a documentary for 50 minutes on TV today.\n12045,2013/07/25,I did biking on 2013/07/25.,I did biking on 2013/07/25.\n12046,2013/07/25,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12047,2013/07/25,I ate pasta for lunch.,I ate pasta for lunch.\n12048,2013/07/25,I had fish and chips for dinner with Jackson,I had fish and chips for dinner with Jackson\n12049,2013/07/25,I spent 43 talking to Olivia on various topics in the early afternoon.,I spent 43 talking to Olivia on various topics in the early afternoon.\n12050,2013/07/25,\"I talked to Claire, Eva, Layla, Kinsley for 42 minutes in the late afternoon.\",\"I talked to Claire, Eva, Layla, Kinsley for 42 minutes in the late afternoon.\"\n12051,2013/07/25,\"I talked to Nora, Nevaeh, Kinsley, Olivia for 54 minutes late in the evening.\",\"I talked to Nora, Nevaeh, Kinsley, Olivia for 54 minutes late in the evening.\"\n12052,2013/07/25,\"I talked to Avery, Lydia for 53 minutes in the morning.\",\"I talked to Avery, Lydia for 53 minutes in the morning.\"\n12053,2013/07/25,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n12054,2013/07/25,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n12055,2013/07/26,I spent some time working out on 2013/07/26.,I spent some time working out on 2013/07/26.\n12056,2013/07/26,I did hiking on 2013/07/26.,I did hiking on 2013/07/26.\n12057,2013/07/26,\"I had pancakes for breakfast with Willow, Benjamin\",\"I had pancakes for breakfast with Willow, Benjamin\"\n12058,2013/07/26,I ate indian food for lunch.,I ate indian food for lunch.\n12059,2013/07/26,I ate tacos for dinner.,I ate tacos for dinner.\n12060,2013/07/26,\"I talked to Kinsley, Nevaeh for 40 minutes during lunch hours.\",\"I talked to Kinsley, Nevaeh for 40 minutes during lunch hours.\"\n12061,2013/07/26,\"I spent 17 talking to Piper, Piper, Olivia on various topics late in the evening.\",\"I spent 17 talking to Piper, Piper, Olivia on various topics late in the evening.\"\n12062,2013/07/26,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n12063,2013/07/26,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n12064,2013/07/27,\"On 2013/07/27, I took Caroline on a date to a boba shop\",\"On 2013/07/27, I took Caroline on a date to a boba shop\"\n12065,2013/07/27,I did weight lifting on 2013/07/27.,I did weight lifting on 2013/07/27.\n12066,2013/07/27,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n12067,2013/07/27,I prepare pasta for lunch.,I prepare pasta for lunch.\n12068,2013/07/27,\"I had sushi for dinner with Carter, Emily, Andrew, Kayden\",\"I had sushi for dinner with Carter, Emily, Andrew, Kayden\"\n12069,2013/07/27,I spent 27 talking to Piper on various topics in the morning.,I spent 27 talking to Piper on various topics in the morning.\n12070,2013/07/27,\"I spent 15 talking to Layla, Rylee, Olivia on various topics in the morning.\",\"I spent 15 talking to Layla, Rylee, Olivia on various topics in the morning.\"\n12071,2013/07/27,I talked to Layla for 24 minutes in the early evening.,I talked to Layla for 24 minutes in the early evening.\n12072,2013/07/27,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n12073,2013/07/27,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n12074,2013/07/28,\"I bought some clementines, pineapples, watermelons, cherres, soda, mineral water, mango juice, chocolate milk, toothpaste, facial wash online.\",\"I bought some clementines, pineapples, watermelons, cherres, soda, mineral water, mango juice, chocolate milk, toothpaste, facial wash online.\"\n12075,2013/07/28,I did HIIT on 2013/07/28.,I did HIIT on 2013/07/28.\n12076,2013/07/28,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n12077,2013/07/28,\"I had lunch with Nevaeh, Olivia, Nora, Kinsley, Piper, Hazel. I ate steak.\",\"I had lunch with Nevaeh, Olivia, Nora, Kinsley, Piper, Hazel. I ate steak.\"\n12078,2013/07/28,\"I had steak for dinner with Lydia, Olivia\",\"I had steak for dinner with Lydia, Olivia\"\n12079,2013/07/28,\"I spent 9 talking to Hazel, Eva on various topics during lunch hours.\",\"I spent 9 talking to Hazel, Eva on various topics during lunch hours.\"\n12080,2013/07/28,\"I spent 45 talking to Kinsley, Hazel, Piper, Eva on various topics late in the evening.\",\"I spent 45 talking to Kinsley, Hazel, Piper, Eva on various topics late in the evening.\"\n12081,2013/07/28,\"I talked to Rylee, Nora, Piper, Piper for 47 minutes in the early afternoon.\",\"I talked to Rylee, Nora, Piper, Piper for 47 minutes in the early afternoon.\"\n12082,2013/07/28,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n12083,2013/07/28,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n12084,2013/07/29,I did weight lifting on 2013/07/29.,I did weight lifting on 2013/07/29.\n12085,2013/07/29,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n12086,2013/07/29,I ate sandwich for lunch.,I ate sandwich for lunch.\n12087,2013/07/29,I prepare steak for dinner.,I prepare steak for dinner.\n12088,2013/07/29,\"I talked to Kinsley, Nora, Rylee for 9 minutes in the morning.\",\"I talked to Kinsley, Nora, Rylee for 9 minutes in the morning.\"\n12089,2013/07/29,\"I spent 20 talking to Eva, Piper, Lydia, Hazel on various topics during lunch hours.\",\"I spent 20 talking to Eva, Piper, Lydia, Hazel on various topics during lunch hours.\"\n12090,2013/07/29,\"I talked to Avery, Kinsley for 12 minutes in the morning.\",\"I talked to Avery, Kinsley for 12 minutes in the morning.\"\n12091,2013/07/29,\"I talked to Kinsley, Rylee, Piper for 7 minutes in the early afternoon.\",\"I talked to Kinsley, Rylee, Piper for 7 minutes in the early afternoon.\"\n12092,2013/07/29,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n12093,2013/07/29,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n12094,2013/07/30,I did running on 2013/07/30.,I did running on 2013/07/30.\n12095,2013/07/30,\"I had breakfast with Carter, Andrew, Kayden. I ate pancakes.\",\"I had breakfast with Carter, Andrew, Kayden. I ate pancakes.\"\n12096,2013/07/30,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n12097,2013/07/30,I prepare pasta for dinner.,I prepare pasta for dinner.\n12098,2013/07/30,\"I talked to Nevaeh, Eva for 10 minutes in the early evening.\",\"I talked to Nevaeh, Eva for 10 minutes in the early evening.\"\n12099,2013/07/30,\"I spent 46 talking to Lydia, Layla, Piper, Rylee on various topics in the morning.\",\"I spent 46 talking to Lydia, Layla, Piper, Rylee on various topics in the morning.\"\n12100,2013/07/30,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n12101,2013/07/30,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n12102,2013/07/31,I did hiking on 2013/07/31.,I did hiking on 2013/07/31.\n12103,2013/07/31,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12104,2013/07/31,\"I had sandwich for lunch with Andrew, Kayden, Carter\",\"I had sandwich for lunch with Andrew, Kayden, Carter\"\n12105,2013/07/31,\"I had fish and chips for dinner with Rylee, Eva, Olivia, Nora, Claire, Avery, Nevaeh, Layla, Kinsley, Hazel, Piper\",\"I had fish and chips for dinner with Rylee, Eva, Olivia, Nora, Claire, Avery, Nevaeh, Layla, Kinsley, Hazel, Piper\"\n12106,2013/07/31,\"I spent 54 talking to Olivia, Eva, Piper, Piper on various topics in the late afternoon.\",\"I spent 54 talking to Olivia, Eva, Piper, Piper on various topics in the late afternoon.\"\n12107,2013/07/31,I talked to Lydia for 45 minutes in the early afternoon.,I talked to Lydia for 45 minutes in the early afternoon.\n12108,2013/07/31,I talked to Nora for 44 minutes in the late afternoon.,I talked to Nora for 44 minutes in the late afternoon.\n12109,2013/07/31,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n12110,2013/07/31,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n12111,2013/08/01,\"I bought some apples, mineral water, milk, pineapple juice, mango juice, mouth wash, toothbrush online.\",\"I bought some apples, mineral water, milk, pineapple juice, mango juice, mouth wash, toothbrush online.\"\n12112,2013/08/01,I did running on 2013/08/01.,I did running on 2013/08/01.\n12113,2013/08/01,\"I had breakfast with Piper, Lydia, Claire, Rylee, Nevaeh, Piper, Nora, Kinsley, Olivia, Hazel. I ate cereals.\",\"I had breakfast with Piper, Lydia, Claire, Rylee, Nevaeh, Piper, Nora, Kinsley, Olivia, Hazel. I ate cereals.\"\n12114,2013/08/01,\"I had lunch with Piper, Nora, Rylee, Hazel, Piper, Layla, Lydia, Olivia, Kinsley, Eva. I ate tacos.\",\"I had lunch with Piper, Nora, Rylee, Hazel, Piper, Layla, Lydia, Olivia, Kinsley, Eva. I ate tacos.\"\n12115,2013/08/01,I ate tacos for dinner.,I ate tacos for dinner.\n12116,2013/08/01,\"I talked to Avery, Lydia for 10 minutes in the early afternoon.\",\"I talked to Avery, Lydia for 10 minutes in the early afternoon.\"\n12117,2013/08/01,\"I talked to Nora, Olivia, Hazel, Rylee for 37 minutes late in the evening.\",\"I talked to Nora, Olivia, Hazel, Rylee for 37 minutes late in the evening.\"\n12118,2013/08/01,\"I talked to Claire, Kinsley, Nora, Lydia for 11 minutes in the morning.\",\"I talked to Claire, Kinsley, Nora, Lydia for 11 minutes in the morning.\"\n12119,2013/08/01,I talked to Layla for 10 minutes in the early evening.,I talked to Layla for 10 minutes in the early evening.\n12120,2013/08/01,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n12121,2013/08/01,I watched news for 29 minutes on TV today.,I watched news for 29 minutes on TV today.\n12122,2013/08/02,I did running on 2013/08/02.,I did running on 2013/08/02.\n12123,2013/08/02,\"I had peanut-butter-jam for breakfast with Carter, Emily, Kayden, Andrew\",\"I had peanut-butter-jam for breakfast with Carter, Emily, Kayden, Andrew\"\n12124,2013/08/02,\"I had lunch with Jackson, Willow. I ate tacos.\",\"I had lunch with Jackson, Willow. I ate tacos.\"\n12125,2013/08/02,\"I had fish and chips for dinner with Olivia, Hazel, Piper, Eva, Nevaeh, Piper, Claire, Nora, Layla, Avery, Rylee, Kinsley, Lydia\",\"I had fish and chips for dinner with Olivia, Hazel, Piper, Eva, Nevaeh, Piper, Claire, Nora, Layla, Avery, Rylee, Kinsley, Lydia\"\n12126,2013/08/02,\"I spent 8 talking to Rylee, Lydia, Claire on various topics in the early afternoon.\",\"I spent 8 talking to Rylee, Lydia, Claire on various topics in the early afternoon.\"\n12127,2013/08/02,\"I spent 46 talking to Avery, Piper on various topics late in the evening.\",\"I spent 46 talking to Avery, Piper on various topics late in the evening.\"\n12128,2013/08/02,\"I spent 14 talking to Lydia, Piper, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 14 talking to Lydia, Piper, Nevaeh, Piper on various topics in the early afternoon.\"\n12129,2013/08/02,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n12130,2013/08/02,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n12131,2013/08/03,I went on a date with Luke on 2013/08/03 at a park,I went on a date with Luke on 2013/08/03 at a park\n12132,2013/08/03,I did HIIT on 2013/08/03.,I did HIIT on 2013/08/03.\n12133,2013/08/03,\"I had breakfast with Carter, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Emily. I ate eggs, sausages, and bread.\"\n12134,2013/08/03,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n12135,2013/08/03,I ate a burger for dinner.,I ate a burger for dinner.\n12136,2013/08/03,I talked to Lydia for 34 minutes in the morning.,I talked to Lydia for 34 minutes in the morning.\n12137,2013/08/03,I spent 50 talking to Rylee on various topics in the early evening.,I spent 50 talking to Rylee on various topics in the early evening.\n12138,2013/08/03,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n12139,2013/08/03,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n12140,2013/08/04,I did swimming on 2013/08/04.,I did swimming on 2013/08/04.\n12141,2013/08/04,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12142,2013/08/04,\"I had sushi for lunch with Eva, Hazel, Nora, Olivia, Avery\",\"I had sushi for lunch with Eva, Hazel, Nora, Olivia, Avery\"\n12143,2013/08/04,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n12144,2013/08/04,\"I spent 5 talking to Kinsley, Avery, Eva, Rylee on various topics in the early afternoon.\",\"I spent 5 talking to Kinsley, Avery, Eva, Rylee on various topics in the early afternoon.\"\n12145,2013/08/04,I spent 49 talking to Layla on various topics in the early afternoon.,I spent 49 talking to Layla on various topics in the early afternoon.\n12146,2013/08/04,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n12147,2013/08/04,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n12148,2013/08/05,\"I spent time yoga on 2013/08/05 with Kayden, Andrew.\",\"I spent time yoga on 2013/08/05 with Kayden, Andrew.\"\n12149,2013/08/05,\"I went grocery shopping. I bought some mandarins, apricots, guava juice, and toothpaste, shampoo\",\"I went grocery shopping. I bought some mandarins, apricots, guava juice, and toothpaste, shampoo\"\n12150,2013/08/05,I did swimming on 2013/08/05.,I did swimming on 2013/08/05.\n12151,2013/08/05,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12152,2013/08/05,I ate a burger for lunch.,I ate a burger for lunch.\n12153,2013/08/05,I had dinner with Andrew. I ate fish and chips.,I had dinner with Andrew. I ate fish and chips.\n12154,2013/08/05,I talked to Nevaeh for 44 minutes late in the evening.,I talked to Nevaeh for 44 minutes late in the evening.\n12155,2013/08/05,\"I spent 33 talking to Claire, Piper, Olivia on various topics in the late afternoon.\",\"I spent 33 talking to Claire, Piper, Olivia on various topics in the late afternoon.\"\n12156,2013/08/05,I talked to Layla for 21 minutes in the morning.,I talked to Layla for 21 minutes in the morning.\n12157,2013/08/05,\"I spent 22 talking to Rylee, Claire, Avery, Olivia on various topics in the early evening.\",\"I spent 22 talking to Rylee, Claire, Avery, Olivia on various topics in the early evening.\"\n12158,2013/08/05,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n12159,2013/08/05,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n12160,2013/08/06,\"I went grocery shopping with Piper, Piper, Avery, Nora, Olivia, Layla, Eva, Nevaeh, Hazel, Rylee, Claire, Kinsley. I bought some mandarins, bananas, peaches, tea, and toothbrush, shaving cream\",\"I went grocery shopping with Piper, Piper, Avery, Nora, Olivia, Layla, Eva, Nevaeh, Hazel, Rylee, Claire, Kinsley. I bought some mandarins, bananas, peaches, tea, and toothbrush, shaving cream\"\n12161,2013/08/06,\"I had eggs, sausages, and bread for breakfast with Willow\",\"I had eggs, sausages, and bread for breakfast with Willow\"\n12162,2013/08/06,\"I had fish and chips for lunch with Avery, Piper, Eva, Hazel, Olivia\",\"I had fish and chips for lunch with Avery, Piper, Eva, Hazel, Olivia\"\n12163,2013/08/06,I prepare pasta for dinner.,I prepare pasta for dinner.\n12164,2013/08/06,\"I spent 34 talking to Layla, Eva, Rylee on various topics in the late afternoon.\",\"I spent 34 talking to Layla, Eva, Rylee on various topics in the late afternoon.\"\n12165,2013/08/06,I talked to Kinsley for 34 minutes late in the evening.,I talked to Kinsley for 34 minutes late in the evening.\n12166,2013/08/06,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n12167,2013/08/06,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n12168,2013/08/07,I went on a date with Jackson on 2013/08/07 at a coffee Shop,I went on a date with Jackson on 2013/08/07 at a coffee Shop\n12169,2013/08/07,I did swimming on 2013/08/07.,I did swimming on 2013/08/07.\n12170,2013/08/07,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n12171,2013/08/07,\"I had pasta for lunch with Avery, Hazel, Olivia, Rylee, Lydia, Claire, Piper, Piper, Kinsley, Layla, Eva, Nevaeh, Nora\",\"I had pasta for lunch with Avery, Hazel, Olivia, Rylee, Lydia, Claire, Piper, Piper, Kinsley, Layla, Eva, Nevaeh, Nora\"\n12172,2013/08/07,I had dinner. I ate steak.,I had dinner. I ate steak.\n12173,2013/08/07,\"I talked to Rylee, Kinsley for 8 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley for 8 minutes in the early afternoon.\"\n12174,2013/08/07,I talked to Rylee for 47 minutes in the early evening.,I talked to Rylee for 47 minutes in the early evening.\n12175,2013/08/07,\"I spent 17 talking to Claire, Layla, Olivia on various topics in the morning.\",\"I spent 17 talking to Claire, Layla, Olivia on various topics in the morning.\"\n12176,2013/08/07,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n12177,2013/08/07,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n12178,2013/08/08,I did HIIT on 2013/08/08.,I did HIIT on 2013/08/08.\n12179,2013/08/08,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n12180,2013/08/08,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n12181,2013/08/08,I had tacos for dinner with Willow,I had tacos for dinner with Willow\n12182,2013/08/08,I talked to Piper for 16 minutes late in the evening.,I talked to Piper for 16 minutes late in the evening.\n12183,2013/08/08,\"I spent 27 talking to Eva, Hazel, Rylee on various topics in the early evening.\",\"I spent 27 talking to Eva, Hazel, Rylee on various topics in the early evening.\"\n12184,2013/08/08,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n12185,2013/08/08,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n12186,2013/08/09,I did swimming on 2013/08/09.,I did swimming on 2013/08/09.\n12187,2013/08/09,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n12188,2013/08/09,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n12189,2013/08/09,\"I had dinner with Rylee, Kinsley, Layla, Hazel, Nora, Olivia, Nevaeh. I ate a burger.\",\"I had dinner with Rylee, Kinsley, Layla, Hazel, Nora, Olivia, Nevaeh. I ate a burger.\"\n12190,2013/08/09,\"I spent 48 talking to Nevaeh, Hazel, Piper on various topics in the late afternoon.\",\"I spent 48 talking to Nevaeh, Hazel, Piper on various topics in the late afternoon.\"\n12191,2013/08/09,I talked to Layla for 27 minutes in the morning.,I talked to Layla for 27 minutes in the morning.\n12192,2013/08/09,\"I talked to Nevaeh, Claire for 54 minutes in the morning.\",\"I talked to Nevaeh, Claire for 54 minutes in the morning.\"\n12193,2013/08/09,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n12194,2013/08/09,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n12195,2013/08/10,\"I went grocery shopping with Carter. I bought some mandarins, nectarines, clementines, guava juice, apple juice, and facial wash, mouth wash, shampoo, shaving cream\",\"I went grocery shopping with Carter. I bought some mandarins, nectarines, clementines, guava juice, apple juice, and facial wash, mouth wash, shampoo, shaving cream\"\n12196,2013/08/10,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n12197,2013/08/10,I prepare sushi for lunch.,I prepare sushi for lunch.\n12198,2013/08/10,\"I had dinner with Kayden, Carter, Andrew. I ate a burger.\",\"I had dinner with Kayden, Carter, Andrew. I ate a burger.\"\n12199,2013/08/10,\"I spent 8 talking to Nevaeh, Lydia, Piper on various topics during lunch hours.\",\"I spent 8 talking to Nevaeh, Lydia, Piper on various topics during lunch hours.\"\n12200,2013/08/10,\"I talked to Nevaeh, Nora, Piper, Eva for 7 minutes in the early afternoon.\",\"I talked to Nevaeh, Nora, Piper, Eva for 7 minutes in the early afternoon.\"\n12201,2013/08/10,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n12202,2013/08/10,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n12203,2013/08/11,I did hiking on 2013/08/11.,I did hiking on 2013/08/11.\n12204,2013/08/11,\"I had breakfast with Jackson, Avery, Benjamin. I ate pancakes.\",\"I had breakfast with Jackson, Avery, Benjamin. I ate pancakes.\"\n12205,2013/08/11,I had lunch with Andrew. I ate sushi.,I had lunch with Andrew. I ate sushi.\n12206,2013/08/11,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n12207,2013/08/11,\"I talked to Rylee, Piper for 36 minutes during lunch hours.\",\"I talked to Rylee, Piper for 36 minutes during lunch hours.\"\n12208,2013/08/11,\"I spent 22 talking to Layla, Kinsley on various topics in the early evening.\",\"I spent 22 talking to Layla, Kinsley on various topics in the early evening.\"\n12209,2013/08/11,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n12210,2013/08/11,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n12211,2013/08/12,I did hiking on 2013/08/12.,I did hiking on 2013/08/12.\n12212,2013/08/12,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n12213,2013/08/12,\"I had chinese food for lunch with Kinsley, Olivia, Piper, Avery, Lydia, Claire, Eva, Nora, Nevaeh, Layla, Rylee, Piper\",\"I had chinese food for lunch with Kinsley, Olivia, Piper, Avery, Lydia, Claire, Eva, Nora, Nevaeh, Layla, Rylee, Piper\"\n12214,2013/08/12,\"I had dinner with Kayden, Carter, Emily, Andrew. I ate pasta.\",\"I had dinner with Kayden, Carter, Emily, Andrew. I ate pasta.\"\n12215,2013/08/12,\"I talked to Claire, Olivia for 23 minutes in the morning.\",\"I talked to Claire, Olivia for 23 minutes in the morning.\"\n12216,2013/08/12,\"I spent 35 talking to Avery, Piper, Layla, Rylee on various topics in the early afternoon.\",\"I spent 35 talking to Avery, Piper, Layla, Rylee on various topics in the early afternoon.\"\n12217,2013/08/12,\"I talked to Nora, Layla, Nevaeh for 26 minutes in the early evening.\",\"I talked to Nora, Layla, Nevaeh for 26 minutes in the early evening.\"\n12218,2013/08/12,\"I spent 38 talking to Avery, Nora, Lydia, Piper on various topics late in the evening.\",\"I spent 38 talking to Avery, Nora, Lydia, Piper on various topics late in the evening.\"\n12219,2013/08/12,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n12220,2013/08/12,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n12221,2013/08/13,\"I bought some oranges, milk, mango juice, soda, shampoo, toothbrush online.\",\"I bought some oranges, milk, mango juice, soda, shampoo, toothbrush online.\"\n12222,2013/08/13,I did weight lifting on 2013/08/13.,I did weight lifting on 2013/08/13.\n12223,2013/08/13,\"I had breakfast with Olivia, Kinsley, Hazel, Claire, Piper, Piper, Eva, Nevaeh, Nora, Lydia. I ate peanut-butter-jam.\",\"I had breakfast with Olivia, Kinsley, Hazel, Claire, Piper, Piper, Eva, Nevaeh, Nora, Lydia. I ate peanut-butter-jam.\"\n12224,2013/08/13,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n12225,2013/08/13,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n12226,2013/08/13,\"I spent 45 talking to Layla, Olivia on various topics late in the evening.\",\"I spent 45 talking to Layla, Olivia on various topics late in the evening.\"\n12227,2013/08/13,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n12228,2013/08/13,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n12229,2013/08/14,I did biking on 2013/08/14.,I did biking on 2013/08/14.\n12230,2013/08/14,\"I had breakfast with Emily, Kayden, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Kayden, Carter. I ate eggs, sausages, and bread.\"\n12231,2013/08/14,\"I had lunch with Avery, Kinsley, Rylee, Hazel, Claire, Lydia, Olivia, Eva. I ate sandwich.\",\"I had lunch with Avery, Kinsley, Rylee, Hazel, Claire, Lydia, Olivia, Eva. I ate sandwich.\"\n12232,2013/08/14,I ate indian food for dinner.,I ate indian food for dinner.\n12233,2013/08/14,\"I spent 44 talking to Olivia, Eva, Layla on various topics in the early evening.\",\"I spent 44 talking to Olivia, Eva, Layla on various topics in the early evening.\"\n12234,2013/08/14,I spent 7 talking to Piper on various topics during lunch hours.,I spent 7 talking to Piper on various topics during lunch hours.\n12235,2013/08/14,I talked to Piper for 35 minutes in the late afternoon.,I talked to Piper for 35 minutes in the late afternoon.\n12236,2013/08/14,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n12237,2013/08/14,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n12238,2013/08/15,I spent some time yoga on 2013/08/15.,I spent some time yoga on 2013/08/15.\n12239,2013/08/15,I did running on 2013/08/15.,I did running on 2013/08/15.\n12240,2013/08/15,\"I had peanut-butter-jam for breakfast with Emily, Andrew, Kayden\",\"I had peanut-butter-jam for breakfast with Emily, Andrew, Kayden\"\n12241,2013/08/15,\"I had sushi for lunch with Emily, Carter\",\"I had sushi for lunch with Emily, Carter\"\n12242,2013/08/15,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n12243,2013/08/15,\"I spent 27 talking to Piper, Piper, Nora, Rylee on various topics in the early afternoon.\",\"I spent 27 talking to Piper, Piper, Nora, Rylee on various topics in the early afternoon.\"\n12244,2013/08/15,\"I spent 14 talking to Piper, Eva, Nevaeh, Nora on various topics in the late afternoon.\",\"I spent 14 talking to Piper, Eva, Nevaeh, Nora on various topics in the late afternoon.\"\n12245,2013/08/15,\"I spent 41 talking to Piper, Eva, Nevaeh, Lydia on various topics in the morning.\",\"I spent 41 talking to Piper, Eva, Nevaeh, Lydia on various topics in the morning.\"\n12246,2013/08/15,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n12247,2013/08/15,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n12248,2013/08/16,\"I had breakfast with Carter, Kayden. I ate pancakes.\",\"I had breakfast with Carter, Kayden. I ate pancakes.\"\n12249,2013/08/16,I prepare steak for lunch.,I prepare steak for lunch.\n12250,2013/08/16,\"I had dinner with Kayden, Carter, Andrew, Emily. I ate sushi.\",\"I had dinner with Kayden, Carter, Andrew, Emily. I ate sushi.\"\n12251,2013/08/16,\"I talked to Kinsley, Eva for 46 minutes late in the evening.\",\"I talked to Kinsley, Eva for 46 minutes late in the evening.\"\n12252,2013/08/16,I talked to Avery for 15 minutes during lunch hours.,I talked to Avery for 15 minutes during lunch hours.\n12253,2013/08/16,\"I talked to Rylee, Lydia for 23 minutes in the morning.\",\"I talked to Rylee, Lydia for 23 minutes in the morning.\"\n12254,2013/08/16,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n12255,2013/08/16,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n12256,2013/08/17,\"I bought some pears, nectarines, pineapples, oranges, tea, guava juice, toilet paper, facial wash, body lotion, toothbrush online.\",\"I bought some pears, nectarines, pineapples, oranges, tea, guava juice, toilet paper, facial wash, body lotion, toothbrush online.\"\n12257,2013/08/17,I did weight lifting on 2013/08/17.,I did weight lifting on 2013/08/17.\n12258,2013/08/17,\"I had breakfast with Benjamin, Willow, Avery, Jackson. I ate eggs, sausages, and bread.\",\"I had breakfast with Benjamin, Willow, Avery, Jackson. I ate eggs, sausages, and bread.\"\n12259,2013/08/17,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n12260,2013/08/17,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n12261,2013/08/17,\"I spent 43 talking to Olivia, Nora, Nevaeh on various topics in the late afternoon.\",\"I spent 43 talking to Olivia, Nora, Nevaeh on various topics in the late afternoon.\"\n12262,2013/08/17,\"I talked to Claire, Avery, Olivia for 45 minutes in the late afternoon.\",\"I talked to Claire, Avery, Olivia for 45 minutes in the late afternoon.\"\n12263,2013/08/17,\"I spent 12 talking to Piper, Layla, Olivia on various topics late in the evening.\",\"I spent 12 talking to Piper, Layla, Olivia on various topics late in the evening.\"\n12264,2013/08/17,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n12265,2013/08/17,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n12266,2013/08/18,I did hiking on 2013/08/18.,I did hiking on 2013/08/18.\n12267,2013/08/18,\"I had peanut-butter-jam for breakfast with Rylee, Olivia, Kinsley, Layla, Lydia, Claire, Eva, Piper\",\"I had peanut-butter-jam for breakfast with Rylee, Olivia, Kinsley, Layla, Lydia, Claire, Eva, Piper\"\n12268,2013/08/18,\"I had a burger for lunch with Eva, Lydia, Kinsley, Nevaeh, Nora, Claire, Layla, Avery, Piper, Hazel, Olivia, Rylee, Piper\",\"I had a burger for lunch with Eva, Lydia, Kinsley, Nevaeh, Nora, Claire, Layla, Avery, Piper, Hazel, Olivia, Rylee, Piper\"\n12269,2013/08/18,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n12270,2013/08/18,\"I spent 36 talking to Rylee, Eva, Layla on various topics in the morning.\",\"I spent 36 talking to Rylee, Eva, Layla on various topics in the morning.\"\n12271,2013/08/18,\"I talked to Layla, Rylee for 49 minutes in the morning.\",\"I talked to Layla, Rylee for 49 minutes in the morning.\"\n12272,2013/08/18,\"I talked to Nora, Nevaeh for 25 minutes during lunch hours.\",\"I talked to Nora, Nevaeh for 25 minutes during lunch hours.\"\n12273,2013/08/18,\"I talked to Eva, Olivia for 31 minutes in the early evening.\",\"I talked to Eva, Olivia for 31 minutes in the early evening.\"\n12274,2013/08/18,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n12275,2013/08/18,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n12276,2013/08/19,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12277,2013/08/19,\"I had a burger for lunch with Hazel, Lydia, Eva, Nevaeh, Piper, Nora, Piper, Layla, Claire\",\"I had a burger for lunch with Hazel, Lydia, Eva, Nevaeh, Piper, Nora, Piper, Layla, Claire\"\n12278,2013/08/19,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n12279,2013/08/19,I talked to Avery for 11 minutes in the morning.,I talked to Avery for 11 minutes in the morning.\n12280,2013/08/19,\"I talked to Nora, Claire for 45 minutes in the morning.\",\"I talked to Nora, Claire for 45 minutes in the morning.\"\n12281,2013/08/19,\"I talked to Olivia, Hazel, Nora, Lydia for 41 minutes in the morning.\",\"I talked to Olivia, Hazel, Nora, Lydia for 41 minutes in the morning.\"\n12282,2013/08/19,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n12283,2013/08/19,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n12284,2013/08/20,\"I bought some guava, guava juice, paper towel, toilet paper from the grocery store. I saw Rylee, Nevaeh, Kinsley, Claire, Piper, Piper at the grocery store.\",\"I bought some guava, guava juice, paper towel, toilet paper from the grocery store. I saw Rylee, Nevaeh, Kinsley, Claire, Piper, Piper at the grocery store.\"\n12285,2013/08/20,\"I had breakfast with Jackson, Benjamin, Avery, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Benjamin, Avery, Willow. I ate eggs, sausages, and bread.\"\n12286,2013/08/20,I prepare a burger for lunch.,I prepare a burger for lunch.\n12287,2013/08/20,\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\",\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\"\n12288,2013/08/20,\"I talked to Olivia, Nora for 16 minutes in the early afternoon.\",\"I talked to Olivia, Nora for 16 minutes in the early afternoon.\"\n12289,2013/08/20,\"I spent 27 talking to Avery, Kinsley, Lydia, Piper on various topics in the late afternoon.\",\"I spent 27 talking to Avery, Kinsley, Lydia, Piper on various topics in the late afternoon.\"\n12290,2013/08/20,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n12291,2013/08/20,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n12292,2013/08/21,I did swimming on 2013/08/21.,I did swimming on 2013/08/21.\n12293,2013/08/21,\"I had cereals for breakfast with Lydia, Nevaeh, Kinsley, Claire, Avery, Hazel, Rylee, Olivia, Nora, Piper\",\"I had cereals for breakfast with Lydia, Nevaeh, Kinsley, Claire, Avery, Hazel, Rylee, Olivia, Nora, Piper\"\n12294,2013/08/21,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n12295,2013/08/21,I prepare a burger for dinner.,I prepare a burger for dinner.\n12296,2013/08/21,\"I spent 11 talking to Olivia, Nevaeh, Nora, Kinsley on various topics in the late afternoon.\",\"I spent 11 talking to Olivia, Nevaeh, Nora, Kinsley on various topics in the late afternoon.\"\n12297,2013/08/21,\"I talked to Kinsley, Lydia for 35 minutes during lunch hours.\",\"I talked to Kinsley, Lydia for 35 minutes during lunch hours.\"\n12298,2013/08/21,I spent 6 talking to Eva on various topics late in the evening.,I spent 6 talking to Eva on various topics late in the evening.\n12299,2013/08/21,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n12300,2013/08/21,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n12301,2013/08/22,I went on a date with Quinn on 2013/08/22 at a coffee Shop,I went on a date with Quinn on 2013/08/22 at a coffee Shop\n12302,2013/08/22,I did hiking on 2013/08/22.,I did hiking on 2013/08/22.\n12303,2013/08/22,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n12304,2013/08/22,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n12305,2013/08/22,\"I had dinner with Layla, Nevaeh, Nora, Avery, Lydia, Piper, Eva, Rylee, Piper, Olivia, Kinsley, Claire. I ate sandwich.\",\"I had dinner with Layla, Nevaeh, Nora, Avery, Lydia, Piper, Eva, Rylee, Piper, Olivia, Kinsley, Claire. I ate sandwich.\"\n12306,2013/08/22,\"I talked to Olivia, Lydia, Nevaeh, Kinsley for 48 minutes in the early evening.\",\"I talked to Olivia, Lydia, Nevaeh, Kinsley for 48 minutes in the early evening.\"\n12307,2013/08/22,I talked to Rylee for 21 minutes during lunch hours.,I talked to Rylee for 21 minutes during lunch hours.\n12308,2013/08/22,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n12309,2013/08/22,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n12310,2013/08/23,\"On 2013/08/23, I took Parker on a date to a boba shop\",\"On 2013/08/23, I took Parker on a date to a boba shop\"\n12311,2013/08/23,I did hiking on 2013/08/23.,I did hiking on 2013/08/23.\n12312,2013/08/23,I had breakfast with Andrew. I ate peanut-butter-jam.,I had breakfast with Andrew. I ate peanut-butter-jam.\n12313,2013/08/23,\"I had tacos for lunch with Kinsley, Layla\",\"I had tacos for lunch with Kinsley, Layla\"\n12314,2013/08/23,I ate tacos for dinner.,I ate tacos for dinner.\n12315,2013/08/23,\"I talked to Kinsley, Layla for 51 minutes late in the evening.\",\"I talked to Kinsley, Layla for 51 minutes late in the evening.\"\n12316,2013/08/23,\"I talked to Kinsley, Olivia, Piper, Nevaeh for 33 minutes in the early afternoon.\",\"I talked to Kinsley, Olivia, Piper, Nevaeh for 33 minutes in the early afternoon.\"\n12317,2013/08/23,\"I talked to Piper, Eva, Piper for 36 minutes in the late afternoon.\",\"I talked to Piper, Eva, Piper for 36 minutes in the late afternoon.\"\n12318,2013/08/23,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n12319,2013/08/23,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n12320,2013/08/24,I did biking on 2013/08/24.,I did biking on 2013/08/24.\n12321,2013/08/24,\"I had eggs, sausages, and bread for breakfast with Willow, Avery, Benjamin, Jackson\",\"I had eggs, sausages, and bread for breakfast with Willow, Avery, Benjamin, Jackson\"\n12322,2013/08/24,I had lunch. I ate steak.,I had lunch. I ate steak.\n12323,2013/08/24,I prepare pasta for dinner.,I prepare pasta for dinner.\n12324,2013/08/24,\"I talked to Lydia, Hazel, Layla for 13 minutes in the morning.\",\"I talked to Lydia, Hazel, Layla for 13 minutes in the morning.\"\n12325,2013/08/24,\"I spent 14 talking to Eva, Kinsley, Piper, Nevaeh on various topics in the early evening.\",\"I spent 14 talking to Eva, Kinsley, Piper, Nevaeh on various topics in the early evening.\"\n12326,2013/08/24,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n12327,2013/08/24,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n12328,2013/08/25,I did weight lifting on 2013/08/25.,I did weight lifting on 2013/08/25.\n12329,2013/08/25,I had breakfast with Emily. I ate oatmeal.,I had breakfast with Emily. I ate oatmeal.\n12330,2013/08/25,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n12331,2013/08/25,I prepare tacos for dinner.,I prepare tacos for dinner.\n12332,2013/08/25,I spent 43 talking to Eva on various topics in the early afternoon.,I spent 43 talking to Eva on various topics in the early afternoon.\n12333,2013/08/25,I spent 51 talking to Layla on various topics in the morning.,I spent 51 talking to Layla on various topics in the morning.\n12334,2013/08/25,\"I talked to Piper, Nora, Claire, Hazel for 34 minutes in the early evening.\",\"I talked to Piper, Nora, Claire, Hazel for 34 minutes in the early evening.\"\n12335,2013/08/25,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n12336,2013/08/25,I watched a documentary for 49 minutes on TV today.,I watched a documentary for 49 minutes on TV today.\n12337,2013/08/26,\"I went grocery shopping with Piper, Layla, Piper, Claire, Olivia, Rylee, Lydia, Nora, Hazel, Avery, Eva, Nevaeh. I bought some peaches, nectarines, mango juice, and conditioner, toilet paper\",\"I went grocery shopping with Piper, Layla, Piper, Claire, Olivia, Rylee, Lydia, Nora, Hazel, Avery, Eva, Nevaeh. I bought some peaches, nectarines, mango juice, and conditioner, toilet paper\"\n12338,2013/08/26,I did biking on 2013/08/26.,I did biking on 2013/08/26.\n12339,2013/08/26,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12340,2013/08/26,\"I had chinese food for lunch with Kinsley, Layla, Nevaeh\",\"I had chinese food for lunch with Kinsley, Layla, Nevaeh\"\n12341,2013/08/26,I had sushi for dinner with Avery,I had sushi for dinner with Avery\n12342,2013/08/26,\"I talked to Nora, Olivia for 17 minutes during lunch hours.\",\"I talked to Nora, Olivia for 17 minutes during lunch hours.\"\n12343,2013/08/26,\"I talked to Avery, Nora for 27 minutes in the early evening.\",\"I talked to Avery, Nora for 27 minutes in the early evening.\"\n12344,2013/08/26,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n12345,2013/08/26,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n12346,2013/08/27,I did swimming on 2013/08/27.,I did swimming on 2013/08/27.\n12347,2013/08/27,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12348,2013/08/27,\"I had lunch with Benjamin, Avery, Jackson, Willow. I ate a burger.\",\"I had lunch with Benjamin, Avery, Jackson, Willow. I ate a burger.\"\n12349,2013/08/27,I had chinese food for dinner with Andrew,I had chinese food for dinner with Andrew\n12350,2013/08/27,\"I talked to Layla, Avery for 16 minutes in the early afternoon.\",\"I talked to Layla, Avery for 16 minutes in the early afternoon.\"\n12351,2013/08/27,\"I talked to Piper, Avery, Kinsley, Eva for 34 minutes during lunch hours.\",\"I talked to Piper, Avery, Kinsley, Eva for 34 minutes during lunch hours.\"\n12352,2013/08/27,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n12353,2013/08/27,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n12354,2013/08/28,I did swimming on 2013/08/28.,I did swimming on 2013/08/28.\n12355,2013/08/28,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n12356,2013/08/28,I prepare steak for lunch.,I prepare steak for lunch.\n12357,2013/08/28,I prepare steak for dinner.,I prepare steak for dinner.\n12358,2013/08/28,I talked to Piper for 53 minutes in the late afternoon.,I talked to Piper for 53 minutes in the late afternoon.\n12359,2013/08/28,\"I talked to Rylee, Hazel for 55 minutes in the morning.\",\"I talked to Rylee, Hazel for 55 minutes in the morning.\"\n12360,2013/08/28,\"I talked to Hazel, Eva, Lydia, Olivia for 20 minutes in the morning.\",\"I talked to Hazel, Eva, Lydia, Olivia for 20 minutes in the morning.\"\n12361,2013/08/28,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n12362,2013/08/28,I watched a documentary for 45 minutes on TV today.,I watched a documentary for 45 minutes on TV today.\n12363,2013/08/29,\"On 2013/08/29, I took Everleigh on a date to a boba shop\",\"On 2013/08/29, I took Everleigh on a date to a boba shop\"\n12364,2013/08/29,I spent some time learning a language on 2013/08/29.,I spent some time learning a language on 2013/08/29.\n12365,2013/08/29,I did biking on 2013/08/29.,I did biking on 2013/08/29.\n12366,2013/08/29,\"I had pancakes for breakfast with Nora, Kinsley, Nevaeh, Lydia, Piper, Eva, Olivia\",\"I had pancakes for breakfast with Nora, Kinsley, Nevaeh, Lydia, Piper, Eva, Olivia\"\n12367,2013/08/29,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n12368,2013/08/29,\"I had pasta for dinner with Piper, Claire, Avery\",\"I had pasta for dinner with Piper, Claire, Avery\"\n12369,2013/08/29,\"I talked to Kinsley, Eva, Claire for 28 minutes in the late afternoon.\",\"I talked to Kinsley, Eva, Claire for 28 minutes in the late afternoon.\"\n12370,2013/08/29,\"I spent 21 talking to Piper, Eva on various topics in the morning.\",\"I spent 21 talking to Piper, Eva on various topics in the morning.\"\n12371,2013/08/29,\"I talked to Claire, Nora, Nevaeh for 17 minutes in the morning.\",\"I talked to Claire, Nora, Nevaeh for 17 minutes in the morning.\"\n12372,2013/08/29,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n12373,2013/08/29,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n12374,2013/08/30,\"On 2013/08/30, I took Luke on a date to a park\",\"On 2013/08/30, I took Luke on a date to a park\"\n12375,2013/08/30,\"I went grocery shopping with Andrew, Carter. I bought some clementines, strawberries, pears, apple juice, coffee, mineral water, guava juice, and toothbrush, mouthwash, mouth wash\",\"I went grocery shopping with Andrew, Carter. I bought some clementines, strawberries, pears, apple juice, coffee, mineral water, guava juice, and toothbrush, mouthwash, mouth wash\"\n12376,2013/08/30,I did biking on 2013/08/30.,I did biking on 2013/08/30.\n12377,2013/08/30,\"I had toast and cheese for breakfast with Kayden, Andrew\",\"I had toast and cheese for breakfast with Kayden, Andrew\"\n12378,2013/08/30,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n12379,2013/08/30,\"I had dinner with Andrew, Emily, Kayden. I ate chinese food.\",\"I had dinner with Andrew, Emily, Kayden. I ate chinese food.\"\n12380,2013/08/30,I talked to Avery for 44 minutes in the early evening.,I talked to Avery for 44 minutes in the early evening.\n12381,2013/08/30,\"I spent 43 talking to Olivia, Lydia, Kinsley on various topics in the late afternoon.\",\"I spent 43 talking to Olivia, Lydia, Kinsley on various topics in the late afternoon.\"\n12382,2013/08/30,I spent 17 talking to Eva on various topics in the morning.,I spent 17 talking to Eva on various topics in the morning.\n12383,2013/08/30,\"I spent 25 talking to Claire, Avery on various topics late in the evening.\",\"I spent 25 talking to Claire, Avery on various topics late in the evening.\"\n12384,2013/08/30,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n12385,2013/08/30,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n12386,2013/08/31,\"I spent time meditation on 2013/08/31 with Carter, Kayden.\",\"I spent time meditation on 2013/08/31 with Carter, Kayden.\"\n12387,2013/08/31,I did weight lifting on 2013/08/31.,I did weight lifting on 2013/08/31.\n12388,2013/08/31,\"I had breakfast with Kayden, Carter, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Carter, Emily. I ate eggs, sausages, and bread.\"\n12389,2013/08/31,I ate steak for lunch.,I ate steak for lunch.\n12390,2013/08/31,\"I had dinner with Emily, Carter, Kayden. I ate fish and chips.\",\"I had dinner with Emily, Carter, Kayden. I ate fish and chips.\"\n12391,2013/08/31,\"I talked to Layla, Lydia, Piper for 50 minutes late in the evening.\",\"I talked to Layla, Lydia, Piper for 50 minutes late in the evening.\"\n12392,2013/08/31,\"I spent 43 talking to Nevaeh, Nora, Kinsley, Piper on various topics in the morning.\",\"I spent 43 talking to Nevaeh, Nora, Kinsley, Piper on various topics in the morning.\"\n12393,2013/08/31,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n12394,2013/08/31,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n12395,2013/09/01,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n12396,2013/09/01,\"I had lunch with Andrew, Carter. I ate tacos.\",\"I had lunch with Andrew, Carter. I ate tacos.\"\n12397,2013/09/01,I had fish and chips for dinner with Willow,I had fish and chips for dinner with Willow\n12398,2013/09/01,\"I spent 39 talking to Nevaeh, Hazel on various topics in the late afternoon.\",\"I spent 39 talking to Nevaeh, Hazel on various topics in the late afternoon.\"\n12399,2013/09/01,\"I talked to Rylee, Layla, Piper, Lydia for 29 minutes late in the evening.\",\"I talked to Rylee, Layla, Piper, Lydia for 29 minutes late in the evening.\"\n12400,2013/09/01,\"I talked to Lydia, Piper, Olivia, Kinsley for 48 minutes in the morning.\",\"I talked to Lydia, Piper, Olivia, Kinsley for 48 minutes in the morning.\"\n12401,2013/09/01,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n12402,2013/09/01,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n12403,2013/09/02,I did weight lifting on 2013/09/02.,I did weight lifting on 2013/09/02.\n12404,2013/09/02,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n12405,2013/09/02,\"I had sushi for lunch with Andrew, Carter, Emily, Kayden\",\"I had sushi for lunch with Andrew, Carter, Emily, Kayden\"\n12406,2013/09/02,I had dinner. I ate steak.,I had dinner. I ate steak.\n12407,2013/09/02,\"I spent 9 talking to Piper, Nevaeh, Olivia, Claire on various topics in the early afternoon.\",\"I spent 9 talking to Piper, Nevaeh, Olivia, Claire on various topics in the early afternoon.\"\n12408,2013/09/02,\"I talked to Nevaeh, Piper, Rylee, Eva for 20 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Rylee, Eva for 20 minutes in the late afternoon.\"\n12409,2013/09/02,\"I talked to Nora, Piper for 51 minutes late in the evening.\",\"I talked to Nora, Piper for 51 minutes late in the evening.\"\n12410,2013/09/02,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n12411,2013/09/02,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n12412,2013/09/03,I did weight lifting on 2013/09/03.,I did weight lifting on 2013/09/03.\n12413,2013/09/03,\"I had breakfast with Eva, Rylee, Olivia, Kinsley, Piper, Avery, Layla, Piper, Nora, Nevaeh, Claire, Hazel, Lydia. I ate peanut-butter-jam.\",\"I had breakfast with Eva, Rylee, Olivia, Kinsley, Piper, Avery, Layla, Piper, Nora, Nevaeh, Claire, Hazel, Lydia. I ate peanut-butter-jam.\"\n12414,2013/09/03,\"I had tacos for lunch with Kayden, Carter, Emily, Andrew\",\"I had tacos for lunch with Kayden, Carter, Emily, Andrew\"\n12415,2013/09/03,I ate chinese food for dinner.,I ate chinese food for dinner.\n12416,2013/09/03,\"I spent 38 talking to Hazel, Lydia, Olivia on various topics in the early afternoon.\",\"I spent 38 talking to Hazel, Lydia, Olivia on various topics in the early afternoon.\"\n12417,2013/09/03,I talked to Piper for 46 minutes during lunch hours.,I talked to Piper for 46 minutes during lunch hours.\n12418,2013/09/03,I spent 46 talking to Rylee on various topics during lunch hours.,I spent 46 talking to Rylee on various topics during lunch hours.\n12419,2013/09/03,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n12420,2013/09/03,I watched a tv series for 51 minutes on TV today.,I watched a tv series for 51 minutes on TV today.\n12421,2013/09/04,I did hiking on 2013/09/04.,I did hiking on 2013/09/04.\n12422,2013/09/04,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n12423,2013/09/04,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n12424,2013/09/04,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n12425,2013/09/04,\"I spent 26 talking to Nora, Rylee, Hazel, Layla on various topics in the early afternoon.\",\"I spent 26 talking to Nora, Rylee, Hazel, Layla on various topics in the early afternoon.\"\n12426,2013/09/04,\"I talked to Claire, Eva, Piper for 47 minutes in the morning.\",\"I talked to Claire, Eva, Piper for 47 minutes in the morning.\"\n12427,2013/09/04,\"I spent 37 talking to Layla, Hazel, Claire on various topics in the early evening.\",\"I spent 37 talking to Layla, Hazel, Claire on various topics in the early evening.\"\n12428,2013/09/04,\"I talked to Nora, Rylee, Nevaeh for 37 minutes in the early evening.\",\"I talked to Nora, Rylee, Nevaeh for 37 minutes in the early evening.\"\n12429,2013/09/04,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n12430,2013/09/04,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n12431,2013/09/05,I did HIIT on 2013/09/05.,I did HIIT on 2013/09/05.\n12432,2013/09/05,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12433,2013/09/05,\"I had lunch with Andrew, Kayden. I ate a burger.\",\"I had lunch with Andrew, Kayden. I ate a burger.\"\n12434,2013/09/05,I had steak for dinner with Carter,I had steak for dinner with Carter\n12435,2013/09/05,\"I spent 7 talking to Avery, Olivia, Hazel, Eva on various topics in the late afternoon.\",\"I spent 7 talking to Avery, Olivia, Hazel, Eva on various topics in the late afternoon.\"\n12436,2013/09/05,\"I spent 31 talking to Layla, Avery, Nevaeh, Hazel on various topics late in the evening.\",\"I spent 31 talking to Layla, Avery, Nevaeh, Hazel on various topics late in the evening.\"\n12437,2013/09/05,I talked to Layla for 38 minutes in the early afternoon.,I talked to Layla for 38 minutes in the early afternoon.\n12438,2013/09/05,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n12439,2013/09/05,I spent 22 minutes watching a movie on TV today.,I spent 22 minutes watching a movie on TV today.\n12440,2013/09/06,I did weight lifting on 2013/09/06.,I did weight lifting on 2013/09/06.\n12441,2013/09/06,\"I had breakfast with Avery, Jackson, Benjamin, Willow. I ate oatmeal.\",\"I had breakfast with Avery, Jackson, Benjamin, Willow. I ate oatmeal.\"\n12442,2013/09/06,I had lunch. I ate steak.,I had lunch. I ate steak.\n12443,2013/09/06,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n12444,2013/09/06,\"I spent 14 talking to Olivia, Eva, Piper, Claire on various topics in the morning.\",\"I spent 14 talking to Olivia, Eva, Piper, Claire on various topics in the morning.\"\n12445,2013/09/06,\"I spent 8 talking to Rylee, Claire, Piper on various topics during lunch hours.\",\"I spent 8 talking to Rylee, Claire, Piper on various topics during lunch hours.\"\n12446,2013/09/06,\"I spent 21 talking to Nevaeh, Olivia, Avery, Piper on various topics in the early afternoon.\",\"I spent 21 talking to Nevaeh, Olivia, Avery, Piper on various topics in the early afternoon.\"\n12447,2013/09/06,\"I talked to Layla, Nora for 30 minutes in the late afternoon.\",\"I talked to Layla, Nora for 30 minutes in the late afternoon.\"\n12448,2013/09/06,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n12449,2013/09/06,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n12450,2013/09/07,I did HIIT on 2013/09/07.,I did HIIT on 2013/09/07.\n12451,2013/09/07,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n12452,2013/09/07,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n12453,2013/09/07,I ate steak for dinner.,I ate steak for dinner.\n12454,2013/09/07,\"I spent 10 talking to Rylee, Piper on various topics in the early afternoon.\",\"I spent 10 talking to Rylee, Piper on various topics in the early afternoon.\"\n12455,2013/09/07,\"I talked to Olivia, Layla, Claire, Avery for 10 minutes in the early afternoon.\",\"I talked to Olivia, Layla, Claire, Avery for 10 minutes in the early afternoon.\"\n12456,2013/09/07,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n12457,2013/09/07,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n12458,2013/09/08,\"I went grocery shopping with Avery. I bought some blueberries, pears, guava, apricots, coffee, orange juice, and facial wash\",\"I went grocery shopping with Avery. I bought some blueberries, pears, guava, apricots, coffee, orange juice, and facial wash\"\n12459,2013/09/08,I did biking on 2013/09/08.,I did biking on 2013/09/08.\n12460,2013/09/08,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n12461,2013/09/08,I ate steak for lunch.,I ate steak for lunch.\n12462,2013/09/08,I prepare a burger for dinner.,I prepare a burger for dinner.\n12463,2013/09/08,I spent 31 talking to Olivia on various topics in the late afternoon.,I spent 31 talking to Olivia on various topics in the late afternoon.\n12464,2013/09/08,\"I spent 26 talking to Kinsley, Avery on various topics in the morning.\",\"I spent 26 talking to Kinsley, Avery on various topics in the morning.\"\n12465,2013/09/08,\"I spent 55 talking to Rylee, Olivia, Piper, Eva on various topics in the early afternoon.\",\"I spent 55 talking to Rylee, Olivia, Piper, Eva on various topics in the early afternoon.\"\n12466,2013/09/08,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n12467,2013/09/08,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n12468,2013/09/09,I went on a date with Christophe on 2013/09/09 at a coffee Shop,I went on a date with Christophe on 2013/09/09 at a coffee Shop\n12469,2013/09/09,I did weight lifting on 2013/09/09.,I did weight lifting on 2013/09/09.\n12470,2013/09/09,\"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Emily, Kayden\",\"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Emily, Kayden\"\n12471,2013/09/09,\"I had lunch with Andrew, Emily. I ate tacos.\",\"I had lunch with Andrew, Emily. I ate tacos.\"\n12472,2013/09/09,\"I had dinner with Kayden, Andrew, Carter. I ate fish and chips.\",\"I had dinner with Kayden, Andrew, Carter. I ate fish and chips.\"\n12473,2013/09/09,I spent 53 talking to Avery on various topics during lunch hours.,I spent 53 talking to Avery on various topics during lunch hours.\n12474,2013/09/09,\"I talked to Avery, Nevaeh for 17 minutes in the early afternoon.\",\"I talked to Avery, Nevaeh for 17 minutes in the early afternoon.\"\n12475,2013/09/09,\"I talked to Claire, Rylee, Nora for 29 minutes late in the evening.\",\"I talked to Claire, Rylee, Nora for 29 minutes late in the evening.\"\n12476,2013/09/09,I spent 55 talking to Nora on various topics during lunch hours.,I spent 55 talking to Nora on various topics during lunch hours.\n12477,2013/09/09,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n12478,2013/09/09,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n12479,2013/09/10,I did running on 2013/09/10.,I did running on 2013/09/10.\n12480,2013/09/10,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12481,2013/09/10,I had chinese food for lunch with Piper,I had chinese food for lunch with Piper\n12482,2013/09/10,\"I had pasta for dinner with Hazel, Layla, Claire\",\"I had pasta for dinner with Hazel, Layla, Claire\"\n12483,2013/09/10,\"I talked to Kinsley, Piper, Nevaeh for 51 minutes in the early evening.\",\"I talked to Kinsley, Piper, Nevaeh for 51 minutes in the early evening.\"\n12484,2013/09/10,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n12485,2013/09/10,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n12486,2013/09/11,I did hiking on 2013/09/11.,I did hiking on 2013/09/11.\n12487,2013/09/11,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n12488,2013/09/11,I ate tacos for lunch.,I ate tacos for lunch.\n12489,2013/09/11,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n12490,2013/09/11,\"I talked to Piper, Kinsley, Eva for 55 minutes in the early evening.\",\"I talked to Piper, Kinsley, Eva for 55 minutes in the early evening.\"\n12491,2013/09/11,I spent 9 talking to Nora on various topics in the late afternoon.,I spent 9 talking to Nora on various topics in the late afternoon.\n12492,2013/09/11,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n12493,2013/09/11,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n12494,2013/09/12,\"I bought some raspberries, guava, pineapples, bananas, orange juice, sports drinks, toothbrush online.\",\"I bought some raspberries, guava, pineapples, bananas, orange juice, sports drinks, toothbrush online.\"\n12495,2013/09/12,I did biking on 2013/09/12.,I did biking on 2013/09/12.\n12496,2013/09/12,\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate eggs, sausages, and bread.\"\n12497,2013/09/12,\"I had steak for lunch with Jackson, Willow\",\"I had steak for lunch with Jackson, Willow\"\n12498,2013/09/12,\"I had steak for dinner with Rylee, Hazel, Nevaeh, Eva, Lydia, Piper\",\"I had steak for dinner with Rylee, Hazel, Nevaeh, Eva, Lydia, Piper\"\n12499,2013/09/12,\"I spent 14 talking to Rylee, Nevaeh, Olivia, Layla on various topics in the late afternoon.\",\"I spent 14 talking to Rylee, Nevaeh, Olivia, Layla on various topics in the late afternoon.\"\n12500,2013/09/12,\"I spent 38 talking to Rylee, Olivia on various topics in the early afternoon.\",\"I spent 38 talking to Rylee, Olivia on various topics in the early afternoon.\"\n12501,2013/09/12,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n12502,2013/09/12,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n12503,2013/09/13,I did weight lifting on 2013/09/13.,I did weight lifting on 2013/09/13.\n12504,2013/09/13,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n12505,2013/09/13,I prepare pasta for lunch.,I prepare pasta for lunch.\n12506,2013/09/13,I ate indian food for dinner.,I ate indian food for dinner.\n12507,2013/09/13,\"I talked to Claire, Rylee for 47 minutes in the early evening.\",\"I talked to Claire, Rylee for 47 minutes in the early evening.\"\n12508,2013/09/13,I spent 46 talking to Nora on various topics in the early evening.,I spent 46 talking to Nora on various topics in the early evening.\n12509,2013/09/13,\"I talked to Layla, Kinsley for 26 minutes late in the evening.\",\"I talked to Layla, Kinsley for 26 minutes late in the evening.\"\n12510,2013/09/13,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n12511,2013/09/13,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n12512,2013/09/14,\"I went grocery shopping. I bought some bananas, strawberries, cherres, sports drinks, pineapple juice, and mouth wash\",\"I went grocery shopping. I bought some bananas, strawberries, cherres, sports drinks, pineapple juice, and mouth wash\"\n12513,2013/09/14,I did biking on 2013/09/14.,I did biking on 2013/09/14.\n12514,2013/09/14,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n12515,2013/09/14,I ate steak for lunch.,I ate steak for lunch.\n12516,2013/09/14,\"I had dinner with Layla, Piper, Nevaeh, Olivia, Rylee, Avery, Kinsley, Eva, Claire, Hazel, Lydia. I ate a burger.\",\"I had dinner with Layla, Piper, Nevaeh, Olivia, Rylee, Avery, Kinsley, Eva, Claire, Hazel, Lydia. I ate a burger.\"\n12517,2013/09/14,\"I spent 41 talking to Olivia, Lydia on various topics in the late afternoon.\",\"I spent 41 talking to Olivia, Lydia on various topics in the late afternoon.\"\n12518,2013/09/14,I talked to Lydia for 33 minutes in the early afternoon.,I talked to Lydia for 33 minutes in the early afternoon.\n12519,2013/09/14,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n12520,2013/09/14,I watched a movie for 30 minutes on TV today.,I watched a movie for 30 minutes on TV today.\n12521,2013/09/15,I did weight lifting on 2013/09/15.,I did weight lifting on 2013/09/15.\n12522,2013/09/15,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n12523,2013/09/15,I prepare a burger for lunch.,I prepare a burger for lunch.\n12524,2013/09/15,\"I had sushi for dinner with Nevaeh, Claire, Eva, Piper, Lydia, Avery, Kinsley, Nora, Olivia, Rylee, Hazel\",\"I had sushi for dinner with Nevaeh, Claire, Eva, Piper, Lydia, Avery, Kinsley, Nora, Olivia, Rylee, Hazel\"\n12525,2013/09/15,\"I spent 32 talking to Claire, Layla, Hazel, Olivia on various topics in the early evening.\",\"I spent 32 talking to Claire, Layla, Hazel, Olivia on various topics in the early evening.\"\n12526,2013/09/15,\"I spent 37 talking to Hazel, Piper, Rylee on various topics in the early evening.\",\"I spent 37 talking to Hazel, Piper, Rylee on various topics in the early evening.\"\n12527,2013/09/15,\"I spent 43 talking to Nora, Layla, Piper, Eva on various topics late in the evening.\",\"I spent 43 talking to Nora, Layla, Piper, Eva on various topics late in the evening.\"\n12528,2013/09/15,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n12529,2013/09/15,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n12530,2013/09/16,I really enjoyed gardening on 2013/09/16,I really enjoyed gardening on 2013/09/16\n12531,2013/09/16,I did weight lifting on 2013/09/16.,I did weight lifting on 2013/09/16.\n12532,2013/09/16,\"I had toast and cheese for breakfast with Emily, Carter, Andrew, Kayden\",\"I had toast and cheese for breakfast with Emily, Carter, Andrew, Kayden\"\n12533,2013/09/16,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n12534,2013/09/16,I ate sandwich for dinner.,I ate sandwich for dinner.\n12535,2013/09/16,\"I spent 10 talking to Avery, Hazel, Nora, Olivia on various topics in the morning.\",\"I spent 10 talking to Avery, Hazel, Nora, Olivia on various topics in the morning.\"\n12536,2013/09/16,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n12537,2013/09/16,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n12538,2013/09/17,I did swimming on 2013/09/17.,I did swimming on 2013/09/17.\n12539,2013/09/17,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n12540,2013/09/17,I ate tacos for lunch.,I ate tacos for lunch.\n12541,2013/09/17,I prepare indian food for dinner.,I prepare indian food for dinner.\n12542,2013/09/17,\"I talked to Lydia, Claire, Layla, Piper for 16 minutes during lunch hours.\",\"I talked to Lydia, Claire, Layla, Piper for 16 minutes during lunch hours.\"\n12543,2013/09/17,\"I spent 53 talking to Nevaeh, Hazel on various topics late in the evening.\",\"I spent 53 talking to Nevaeh, Hazel on various topics late in the evening.\"\n12544,2013/09/17,\"I spent 20 talking to Rylee, Kinsley, Piper, Eva on various topics during lunch hours.\",\"I spent 20 talking to Rylee, Kinsley, Piper, Eva on various topics during lunch hours.\"\n12545,2013/09/17,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n12546,2013/09/17,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n12547,2013/09/18,\"I bought some blackberries, bananas, cherres, pears, apple juice, milk, toothbrush, facial wash, toilet paper, mouthwash online.\",\"I bought some blackberries, bananas, cherres, pears, apple juice, milk, toothbrush, facial wash, toilet paper, mouthwash online.\"\n12548,2013/09/18,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n12549,2013/09/18,\"I had lunch with Emily, Carter. I ate indian food.\",\"I had lunch with Emily, Carter. I ate indian food.\"\n12550,2013/09/18,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n12551,2013/09/18,\"I talked to Lydia, Layla, Rylee for 15 minutes in the late afternoon.\",\"I talked to Lydia, Layla, Rylee for 15 minutes in the late afternoon.\"\n12552,2013/09/18,\"I talked to Eva, Rylee, Nevaeh for 38 minutes in the late afternoon.\",\"I talked to Eva, Rylee, Nevaeh for 38 minutes in the late afternoon.\"\n12553,2013/09/18,\"I talked to Lydia, Piper for 37 minutes during lunch hours.\",\"I talked to Lydia, Piper for 37 minutes during lunch hours.\"\n12554,2013/09/18,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n12555,2013/09/18,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n12556,2013/09/19,I did swimming on 2013/09/19.,I did swimming on 2013/09/19.\n12557,2013/09/19,\"I had breakfast with Avery, Claire, Nora. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Claire, Nora. I ate eggs, sausages, and bread.\"\n12558,2013/09/19,I prepare a burger for lunch.,I prepare a burger for lunch.\n12559,2013/09/19,I ate pasta for dinner.,I ate pasta for dinner.\n12560,2013/09/19,\"I talked to Avery, Piper for 6 minutes in the early afternoon.\",\"I talked to Avery, Piper for 6 minutes in the early afternoon.\"\n12561,2013/09/19,\"I talked to Piper, Claire, Avery, Rylee for 53 minutes late in the evening.\",\"I talked to Piper, Claire, Avery, Rylee for 53 minutes late in the evening.\"\n12562,2013/09/19,I talked to Piper for 26 minutes in the late afternoon.,I talked to Piper for 26 minutes in the late afternoon.\n12563,2013/09/19,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n12564,2013/09/19,I spent 54 minutes watching a movie on TV today.,I spent 54 minutes watching a movie on TV today.\n12565,2013/09/20,I went on a date with Audrey on 2013/09/20 at a coffee Shop,I went on a date with Audrey on 2013/09/20 at a coffee Shop\n12566,2013/09/20,\"I bought some cherres, pears, apple juice, chocolate milk, mouthwash, toilet paper, toothbrush, facial wash from the grocery store. I saw Carter, Andrew, Kayden at the grocery store.\",\"I bought some cherres, pears, apple juice, chocolate milk, mouthwash, toilet paper, toothbrush, facial wash from the grocery store. I saw Carter, Andrew, Kayden at the grocery store.\"\n12567,2013/09/20,I did running on 2013/09/20.,I did running on 2013/09/20.\n12568,2013/09/20,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12569,2013/09/20,I prepare steak for lunch.,I prepare steak for lunch.\n12570,2013/09/20,I prepare a burger for dinner.,I prepare a burger for dinner.\n12571,2013/09/20,\"I spent 19 talking to Eva, Nora, Lydia on various topics in the early afternoon.\",\"I spent 19 talking to Eva, Nora, Lydia on various topics in the early afternoon.\"\n12572,2013/09/20,\"I talked to Piper, Olivia for 39 minutes in the late afternoon.\",\"I talked to Piper, Olivia for 39 minutes in the late afternoon.\"\n12573,2013/09/20,\"I spent 40 talking to Piper, Kinsley, Hazel on various topics in the morning.\",\"I spent 40 talking to Piper, Kinsley, Hazel on various topics in the morning.\"\n12574,2013/09/20,\"I spent 45 talking to Kinsley, Hazel on various topics in the late afternoon.\",\"I spent 45 talking to Kinsley, Hazel on various topics in the late afternoon.\"\n12575,2013/09/20,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n12576,2013/09/20,I spent 40 minutes watching a movie on TV today.,I spent 40 minutes watching a movie on TV today.\n12577,2013/09/21,I did swimming on 2013/09/21.,I did swimming on 2013/09/21.\n12578,2013/09/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n12579,2013/09/21,I prepare sushi for lunch.,I prepare sushi for lunch.\n12580,2013/09/21,I ate indian food for dinner.,I ate indian food for dinner.\n12581,2013/09/21,\"I talked to Olivia, Avery for 20 minutes in the late afternoon.\",\"I talked to Olivia, Avery for 20 minutes in the late afternoon.\"\n12582,2013/09/21,\"I spent 38 talking to Eva, Lydia, Nora, Layla on various topics in the morning.\",\"I spent 38 talking to Eva, Lydia, Nora, Layla on various topics in the morning.\"\n12583,2013/09/21,\"I spent 17 talking to Rylee, Claire, Lydia, Kinsley on various topics in the morning.\",\"I spent 17 talking to Rylee, Claire, Lydia, Kinsley on various topics in the morning.\"\n12584,2013/09/21,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n12585,2013/09/21,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n12586,2013/09/22,I did weight lifting on 2013/09/22.,I did weight lifting on 2013/09/22.\n12587,2013/09/22,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n12588,2013/09/22,\"I had indian food for lunch with Eva, Piper, Rylee, Kinsley, Olivia, Nora, Hazel, Lydia, Piper\",\"I had indian food for lunch with Eva, Piper, Rylee, Kinsley, Olivia, Nora, Hazel, Lydia, Piper\"\n12589,2013/09/22,I prepare pasta for dinner.,I prepare pasta for dinner.\n12590,2013/09/22,\"I talked to Eva, Lydia, Piper, Claire for 27 minutes in the early afternoon.\",\"I talked to Eva, Lydia, Piper, Claire for 27 minutes in the early afternoon.\"\n12591,2013/09/22,\"I spent 51 talking to Layla, Hazel, Olivia on various topics in the early afternoon.\",\"I spent 51 talking to Layla, Hazel, Olivia on various topics in the early afternoon.\"\n12592,2013/09/22,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n12593,2013/09/22,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n12594,2013/09/23,I did biking on 2013/09/23.,I did biking on 2013/09/23.\n12595,2013/09/23,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n12596,2013/09/23,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n12597,2013/09/23,I ate pasta for dinner.,I ate pasta for dinner.\n12598,2013/09/23,\"I spent 8 talking to Eva, Nevaeh on various topics in the morning.\",\"I spent 8 talking to Eva, Nevaeh on various topics in the morning.\"\n12599,2013/09/23,\"I talked to Claire, Hazel for 34 minutes during lunch hours.\",\"I talked to Claire, Hazel for 34 minutes during lunch hours.\"\n12600,2013/09/23,\"I talked to Piper, Lydia for 47 minutes late in the evening.\",\"I talked to Piper, Lydia for 47 minutes late in the evening.\"\n12601,2013/09/23,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n12602,2013/09/23,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n12603,2013/09/24,I did running on 2013/09/24.,I did running on 2013/09/24.\n12604,2013/09/24,\"I had cereals for breakfast with Benjamin, Jackson, Willow, Avery\",\"I had cereals for breakfast with Benjamin, Jackson, Willow, Avery\"\n12605,2013/09/24,\"I had indian food for lunch with Emily, Carter, Kayden\",\"I had indian food for lunch with Emily, Carter, Kayden\"\n12606,2013/09/24,\"I had dinner with Benjamin, Jackson. I ate indian food.\",\"I had dinner with Benjamin, Jackson. I ate indian food.\"\n12607,2013/09/24,\"I talked to Kinsley, Piper for 12 minutes in the early evening.\",\"I talked to Kinsley, Piper for 12 minutes in the early evening.\"\n12608,2013/09/24,\"I talked to Lydia, Nora, Layla for 47 minutes late in the evening.\",\"I talked to Lydia, Nora, Layla for 47 minutes late in the evening.\"\n12609,2013/09/24,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n12610,2013/09/24,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n12611,2013/09/25,\"I bought some mandarins, apple juice, mouth wash, toothbrush from the grocery store. I saw Lydia, Nora, Olivia, Piper, Avery, Layla, Nevaeh, Eva, Kinsley, Rylee, Hazel, Claire at the grocery store.\",\"I bought some mandarins, apple juice, mouth wash, toothbrush from the grocery store. I saw Lydia, Nora, Olivia, Piper, Avery, Layla, Nevaeh, Eva, Kinsley, Rylee, Hazel, Claire at the grocery store.\"\n12612,2013/09/25,I did hiking on 2013/09/25.,I did hiking on 2013/09/25.\n12613,2013/09/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n12614,2013/09/25,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n12615,2013/09/25,I prepare steak for dinner.,I prepare steak for dinner.\n12616,2013/09/25,\"I spent 18 talking to Piper, Layla on various topics during lunch hours.\",\"I spent 18 talking to Piper, Layla on various topics during lunch hours.\"\n12617,2013/09/25,I talked to Kinsley for 16 minutes in the early evening.,I talked to Kinsley for 16 minutes in the early evening.\n12618,2013/09/25,\"I spent 7 talking to Rylee, Claire, Layla, Piper on various topics in the late afternoon.\",\"I spent 7 talking to Rylee, Claire, Layla, Piper on various topics in the late afternoon.\"\n12619,2013/09/25,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n12620,2013/09/25,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n12621,2013/09/26,I did weight lifting on 2013/09/26.,I did weight lifting on 2013/09/26.\n12622,2013/09/26,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12623,2013/09/26,\"I had pasta for lunch with Kinsley, Olivia, Eva, Rylee, Hazel, Nora, Lydia, Nevaeh, Piper, Piper, Avery, Layla, Claire\",\"I had pasta for lunch with Kinsley, Olivia, Eva, Rylee, Hazel, Nora, Lydia, Nevaeh, Piper, Piper, Avery, Layla, Claire\"\n12624,2013/09/26,I had dinner with Kayden. I ate tacos.,I had dinner with Kayden. I ate tacos.\n12625,2013/09/26,\"I spent 43 talking to Nevaeh, Piper, Nora, Claire on various topics during lunch hours.\",\"I spent 43 talking to Nevaeh, Piper, Nora, Claire on various topics during lunch hours.\"\n12626,2013/09/26,\"I spent 47 talking to Piper, Claire, Layla, Olivia on various topics in the morning.\",\"I spent 47 talking to Piper, Claire, Layla, Olivia on various topics in the morning.\"\n12627,2013/09/26,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n12628,2013/09/26,I spent 6 minutes watching a movie on TV today.,I spent 6 minutes watching a movie on TV today.\n12629,2013/09/27,I did HIIT on 2013/09/27.,I did HIIT on 2013/09/27.\n12630,2013/09/27,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12631,2013/09/27,I had lunch. I ate steak.,I had lunch. I ate steak.\n12632,2013/09/27,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n12633,2013/09/27,\"I spent 41 talking to Rylee, Avery, Nora, Nevaeh on various topics late in the evening.\",\"I spent 41 talking to Rylee, Avery, Nora, Nevaeh on various topics late in the evening.\"\n12634,2013/09/27,\"I talked to Hazel, Avery for 10 minutes in the late afternoon.\",\"I talked to Hazel, Avery for 10 minutes in the late afternoon.\"\n12635,2013/09/27,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n12636,2013/09/27,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n12637,2013/09/28,I did HIIT on 2013/09/28.,I did HIIT on 2013/09/28.\n12638,2013/09/28,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12639,2013/09/28,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n12640,2013/09/28,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n12641,2013/09/28,\"I spent 52 talking to Nevaeh, Claire on various topics during lunch hours.\",\"I spent 52 talking to Nevaeh, Claire on various topics during lunch hours.\"\n12642,2013/09/28,\"I talked to Claire, Nevaeh for 24 minutes in the morning.\",\"I talked to Claire, Nevaeh for 24 minutes in the morning.\"\n12643,2013/09/28,I talked to Nora for 7 minutes late in the evening.,I talked to Nora for 7 minutes late in the evening.\n12644,2013/09/28,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n12645,2013/09/28,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n12646,2013/09/29,\"I bought some cherres, blueberries, soda, coffee, chocolate milk, mango juice, toothbrush, paper towel from the grocery store. I saw Kayden, Andrew, Emily at the grocery store.\",\"I bought some cherres, blueberries, soda, coffee, chocolate milk, mango juice, toothbrush, paper towel from the grocery store. I saw Kayden, Andrew, Emily at the grocery store.\"\n12647,2013/09/29,I did weight lifting on 2013/09/29.,I did weight lifting on 2013/09/29.\n12648,2013/09/29,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12649,2013/09/29,I prepare a burger for lunch.,I prepare a burger for lunch.\n12650,2013/09/29,I prepare tacos for dinner.,I prepare tacos for dinner.\n12651,2013/09/29,I talked to Eva for 38 minutes during lunch hours.,I talked to Eva for 38 minutes during lunch hours.\n12652,2013/09/29,\"I talked to Lydia, Olivia, Nora, Avery for 24 minutes in the morning.\",\"I talked to Lydia, Olivia, Nora, Avery for 24 minutes in the morning.\"\n12653,2013/09/29,\"I spent 15 talking to Eva, Kinsley on various topics in the early evening.\",\"I spent 15 talking to Eva, Kinsley on various topics in the early evening.\"\n12654,2013/09/29,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n12655,2013/09/29,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n12656,2013/09/30,I did running on 2013/09/30.,I did running on 2013/09/30.\n12657,2013/09/30,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n12658,2013/09/30,\"I had chinese food for lunch with Eva, Piper, Layla, Rylee, Nevaeh, Lydia, Hazel, Kinsley, Nora, Piper, Claire, Avery\",\"I had chinese food for lunch with Eva, Piper, Layla, Rylee, Nevaeh, Lydia, Hazel, Kinsley, Nora, Piper, Claire, Avery\"\n12659,2013/09/30,I prepare sushi for dinner.,I prepare sushi for dinner.\n12660,2013/09/30,I spent 34 talking to Olivia on various topics in the early afternoon.,I spent 34 talking to Olivia on various topics in the early afternoon.\n12661,2013/09/30,\"I talked to Piper, Lydia for 26 minutes in the early evening.\",\"I talked to Piper, Lydia for 26 minutes in the early evening.\"\n12662,2013/09/30,\"I talked to Olivia, Lydia, Avery for 36 minutes in the morning.\",\"I talked to Olivia, Lydia, Avery for 36 minutes in the morning.\"\n12663,2013/09/30,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n12664,2013/09/30,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n12665,2013/10/01,I did swimming on 2013/10/01.,I did swimming on 2013/10/01.\n12666,2013/10/01,\"I had eggs, sausages, and bread for breakfast with Willow, Jackson\",\"I had eggs, sausages, and bread for breakfast with Willow, Jackson\"\n12667,2013/10/01,\"I had sushi for lunch with Emily, Carter\",\"I had sushi for lunch with Emily, Carter\"\n12668,2013/10/01,I ate chinese food for dinner.,I ate chinese food for dinner.\n12669,2013/10/01,\"I talked to Nora, Hazel, Rylee, Nevaeh for 51 minutes during lunch hours.\",\"I talked to Nora, Hazel, Rylee, Nevaeh for 51 minutes during lunch hours.\"\n12670,2013/10/01,\"I spent 23 talking to Layla, Claire on various topics in the early evening.\",\"I spent 23 talking to Layla, Claire on various topics in the early evening.\"\n12671,2013/10/01,I talked to Eva for 18 minutes in the early evening.,I talked to Eva for 18 minutes in the early evening.\n12672,2013/10/01,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n12673,2013/10/01,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n12674,2013/10/02,I went on a date with Eliana on 2013/10/02 at a boba shop,I went on a date with Eliana on 2013/10/02 at a boba shop\n12675,2013/10/02,I did hiking on 2013/10/02.,I did hiking on 2013/10/02.\n12676,2013/10/02,\"I had toast and cheese for breakfast with Emily, Kayden, Andrew\",\"I had toast and cheese for breakfast with Emily, Kayden, Andrew\"\n12677,2013/10/02,I prepare sushi for lunch.,I prepare sushi for lunch.\n12678,2013/10/02,I prepare sushi for dinner.,I prepare sushi for dinner.\n12679,2013/10/02,\"I spent 35 talking to Nora, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 35 talking to Nora, Nevaeh, Piper on various topics in the early afternoon.\"\n12680,2013/10/02,\"I spent 12 talking to Claire, Eva, Nora, Piper on various topics during lunch hours.\",\"I spent 12 talking to Claire, Eva, Nora, Piper on various topics during lunch hours.\"\n12681,2013/10/02,\"I spent 26 talking to Eva, Nora, Layla on various topics late in the evening.\",\"I spent 26 talking to Eva, Nora, Layla on various topics late in the evening.\"\n12682,2013/10/02,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n12683,2013/10/02,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n12684,2013/10/03,\"I went grocery shopping. I bought some mandarins, guava, clementines, sports drinks, tea, guava juice, pineapple juice, and conditioner, paper towel, shampoo\",\"I went grocery shopping. I bought some mandarins, guava, clementines, sports drinks, tea, guava juice, pineapple juice, and conditioner, paper towel, shampoo\"\n12685,2013/10/03,I did hiking on 2013/10/03.,I did hiking on 2013/10/03.\n12686,2013/10/03,I had breakfast with Jackson. I ate oatmeal.,I had breakfast with Jackson. I ate oatmeal.\n12687,2013/10/03,\"I had sushi for lunch with Eva, Rylee, Olivia, Nevaeh\",\"I had sushi for lunch with Eva, Rylee, Olivia, Nevaeh\"\n12688,2013/10/03,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n12689,2013/10/03,\"I spent 33 talking to Claire, Rylee, Eva, Layla on various topics during lunch hours.\",\"I spent 33 talking to Claire, Rylee, Eva, Layla on various topics during lunch hours.\"\n12690,2013/10/03,\"I spent 47 talking to Piper, Olivia, Nevaeh on various topics during lunch hours.\",\"I spent 47 talking to Piper, Olivia, Nevaeh on various topics during lunch hours.\"\n12691,2013/10/03,\"I talked to Nevaeh, Piper, Avery for 43 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Avery for 43 minutes in the late afternoon.\"\n12692,2013/10/03,\"I talked to Hazel, Lydia, Piper for 43 minutes during lunch hours.\",\"I talked to Hazel, Lydia, Piper for 43 minutes during lunch hours.\"\n12693,2013/10/03,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n12694,2013/10/03,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n12695,2013/10/04,\"I bought some apples, nectarines, tea, chocolate milk, toothpaste online.\",\"I bought some apples, nectarines, tea, chocolate milk, toothpaste online.\"\n12696,2013/10/04,I did hiking on 2013/10/04.,I did hiking on 2013/10/04.\n12697,2013/10/04,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n12698,2013/10/04,\"I had a burger for lunch with Willow, Jackson, Benjamin, Avery\",\"I had a burger for lunch with Willow, Jackson, Benjamin, Avery\"\n12699,2013/10/04,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n12700,2013/10/04,\"I talked to Eva, Lydia, Olivia for 34 minutes in the morning.\",\"I talked to Eva, Lydia, Olivia for 34 minutes in the morning.\"\n12701,2013/10/04,\"I talked to Piper, Eva, Piper for 21 minutes late in the evening.\",\"I talked to Piper, Eva, Piper for 21 minutes late in the evening.\"\n12702,2013/10/04,I spent 5 talking to Piper on various topics in the late afternoon.,I spent 5 talking to Piper on various topics in the late afternoon.\n12703,2013/10/04,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n12704,2013/10/04,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n12705,2013/10/05,I went on a date with Cora on 2013/10/05 at a boba shop,I went on a date with Cora on 2013/10/05 at a boba shop\n12706,2013/10/05,I did biking on 2013/10/05.,I did biking on 2013/10/05.\n12707,2013/10/05,\"I had breakfast with Andrew, Kayden, Carter. I ate pancakes.\",\"I had breakfast with Andrew, Kayden, Carter. I ate pancakes.\"\n12708,2013/10/05,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n12709,2013/10/05,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n12710,2013/10/05,\"I spent 13 talking to Kinsley, Nevaeh on various topics in the late afternoon.\",\"I spent 13 talking to Kinsley, Nevaeh on various topics in the late afternoon.\"\n12711,2013/10/05,I spent 29 talking to Avery on various topics in the early afternoon.,I spent 29 talking to Avery on various topics in the early afternoon.\n12712,2013/10/05,\"I talked to Piper, Nevaeh for 28 minutes in the early evening.\",\"I talked to Piper, Nevaeh for 28 minutes in the early evening.\"\n12713,2013/10/05,\"I spent 26 talking to Rylee, Layla, Avery, Eva on various topics during lunch hours.\",\"I spent 26 talking to Rylee, Layla, Avery, Eva on various topics during lunch hours.\"\n12714,2013/10/05,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n12715,2013/10/05,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n12716,2013/10/06,I did running on 2013/10/06.,I did running on 2013/10/06.\n12717,2013/10/06,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n12718,2013/10/06,\"I had lunch with Avery, Kinsley, Nevaeh, Piper, Lydia, Claire, Hazel, Eva, Piper, Olivia, Rylee, Nora. I ate tacos.\",\"I had lunch with Avery, Kinsley, Nevaeh, Piper, Lydia, Claire, Hazel, Eva, Piper, Olivia, Rylee, Nora. I ate tacos.\"\n12719,2013/10/06,\"I had pasta for dinner with Carter, Andrew, Emily\",\"I had pasta for dinner with Carter, Andrew, Emily\"\n12720,2013/10/06,I talked to Rylee for 30 minutes during lunch hours.,I talked to Rylee for 30 minutes during lunch hours.\n12721,2013/10/06,\"I talked to Hazel, Nevaeh for 17 minutes in the late afternoon.\",\"I talked to Hazel, Nevaeh for 17 minutes in the late afternoon.\"\n12722,2013/10/06,I spent 46 talking to Lydia on various topics in the late afternoon.,I spent 46 talking to Lydia on various topics in the late afternoon.\n12723,2013/10/06,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n12724,2013/10/06,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n12725,2013/10/07,I did hiking on 2013/10/07.,I did hiking on 2013/10/07.\n12726,2013/10/07,I had breakfast with Andrew. I ate oatmeal.,I had breakfast with Andrew. I ate oatmeal.\n12727,2013/10/07,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n12728,2013/10/07,I ate pasta for dinner.,I ate pasta for dinner.\n12729,2013/10/07,\"I talked to Olivia, Claire for 17 minutes in the late afternoon.\",\"I talked to Olivia, Claire for 17 minutes in the late afternoon.\"\n12730,2013/10/07,\"I talked to Olivia, Piper, Lydia for 47 minutes during lunch hours.\",\"I talked to Olivia, Piper, Lydia for 47 minutes during lunch hours.\"\n12731,2013/10/07,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n12732,2013/10/07,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n12733,2013/10/08,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n12734,2013/10/08,I prepare sushi for lunch.,I prepare sushi for lunch.\n12735,2013/10/08,\"I had fish and chips for dinner with Kayden, Andrew, Carter, Emily\",\"I had fish and chips for dinner with Kayden, Andrew, Carter, Emily\"\n12736,2013/10/08,\"I talked to Nora, Piper for 30 minutes in the late afternoon.\",\"I talked to Nora, Piper for 30 minutes in the late afternoon.\"\n12737,2013/10/08,\"I spent 18 talking to Kinsley, Eva, Avery on various topics in the early evening.\",\"I spent 18 talking to Kinsley, Eva, Avery on various topics in the early evening.\"\n12738,2013/10/08,\"I talked to Rylee, Nora, Olivia, Claire for 12 minutes in the late afternoon.\",\"I talked to Rylee, Nora, Olivia, Claire for 12 minutes in the late afternoon.\"\n12739,2013/10/08,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n12740,2013/10/08,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n12741,2013/10/09,I did running on 2013/10/09.,I did running on 2013/10/09.\n12742,2013/10/09,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n12743,2013/10/09,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n12744,2013/10/09,I ate indian food for dinner.,I ate indian food for dinner.\n12745,2013/10/09,\"I talked to Hazel, Claire for 18 minutes during lunch hours.\",\"I talked to Hazel, Claire for 18 minutes during lunch hours.\"\n12746,2013/10/09,\"I spent 41 talking to Hazel, Nevaeh, Eva, Avery on various topics late in the evening.\",\"I spent 41 talking to Hazel, Nevaeh, Eva, Avery on various topics late in the evening.\"\n12747,2013/10/09,I talked to Nevaeh for 13 minutes in the late afternoon.,I talked to Nevaeh for 13 minutes in the late afternoon.\n12748,2013/10/09,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n12749,2013/10/09,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n12750,2013/10/10,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n12751,2013/10/10,I had lunch with Willow. I ate steak.,I had lunch with Willow. I ate steak.\n12752,2013/10/10,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n12753,2013/10/10,\"I spent 8 talking to Nevaeh, Claire on various topics in the late afternoon.\",\"I spent 8 talking to Nevaeh, Claire on various topics in the late afternoon.\"\n12754,2013/10/10,I talked to Eva for 24 minutes in the late afternoon.,I talked to Eva for 24 minutes in the late afternoon.\n12755,2013/10/10,\"I talked to Hazel, Olivia, Eva for 55 minutes in the late afternoon.\",\"I talked to Hazel, Olivia, Eva for 55 minutes in the late afternoon.\"\n12756,2013/10/10,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n12757,2013/10/10,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n12758,2013/10/11,my parents for their and I went for an annual vision checkup at the hospital on 2013/10/11.,my parents for their and I went for an annual vision checkup at the hospital on 2013/10/11.\n12759,2013/10/11,I did HIIT on 2013/10/11.,I did HIIT on 2013/10/11.\n12760,2013/10/11,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n12761,2013/10/11,I ate tacos for lunch.,I ate tacos for lunch.\n12762,2013/10/11,I ate indian food for dinner.,I ate indian food for dinner.\n12763,2013/10/11,\"I talked to Kinsley, Lydia, Avery, Layla for 40 minutes in the late afternoon.\",\"I talked to Kinsley, Lydia, Avery, Layla for 40 minutes in the late afternoon.\"\n12764,2013/10/11,I spent 17 talking to Nevaeh on various topics late in the evening.,I spent 17 talking to Nevaeh on various topics late in the evening.\n12765,2013/10/11,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n12766,2013/10/11,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n12767,2013/10/12,I did swimming on 2013/10/12.,I did swimming on 2013/10/12.\n12768,2013/10/12,\"I had breakfast with Claire, Hazel, Avery, Rylee, Piper. I ate pancakes.\",\"I had breakfast with Claire, Hazel, Avery, Rylee, Piper. I ate pancakes.\"\n12769,2013/10/12,I had lunch. I ate steak.,I had lunch. I ate steak.\n12770,2013/10/12,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n12771,2013/10/12,\"I spent 18 talking to Claire, Piper, Olivia on various topics in the morning.\",\"I spent 18 talking to Claire, Piper, Olivia on various topics in the morning.\"\n12772,2013/10/12,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n12773,2013/10/12,I spent 30 minutes watching a movie on TV today.,I spent 30 minutes watching a movie on TV today.\n12774,2013/10/13,I did running on 2013/10/13.,I did running on 2013/10/13.\n12775,2013/10/13,\"I had cereals for breakfast with Kinsley, Eva\",\"I had cereals for breakfast with Kinsley, Eva\"\n12776,2013/10/13,\"I had pasta for lunch with Andrew, Emily, Carter\",\"I had pasta for lunch with Andrew, Emily, Carter\"\n12777,2013/10/13,I prepare pasta for dinner.,I prepare pasta for dinner.\n12778,2013/10/13,\"I talked to Rylee, Eva for 47 minutes late in the evening.\",\"I talked to Rylee, Eva for 47 minutes late in the evening.\"\n12779,2013/10/13,\"I spent 24 talking to Nevaeh, Eva, Hazel on various topics in the late afternoon.\",\"I spent 24 talking to Nevaeh, Eva, Hazel on various topics in the late afternoon.\"\n12780,2013/10/13,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n12781,2013/10/13,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n12782,2013/10/14,I did swimming on 2013/10/14.,I did swimming on 2013/10/14.\n12783,2013/10/14,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12784,2013/10/14,I prepare pasta for lunch.,I prepare pasta for lunch.\n12785,2013/10/14,I prepare tacos for dinner.,I prepare tacos for dinner.\n12786,2013/10/14,\"I talked to Avery, Kinsley, Layla, Nora for 15 minutes in the early afternoon.\",\"I talked to Avery, Kinsley, Layla, Nora for 15 minutes in the early afternoon.\"\n12787,2013/10/14,\"I talked to Nevaeh, Lydia for 47 minutes during lunch hours.\",\"I talked to Nevaeh, Lydia for 47 minutes during lunch hours.\"\n12788,2013/10/14,I talked to Rylee for 32 minutes in the late afternoon.,I talked to Rylee for 32 minutes in the late afternoon.\n12789,2013/10/14,\"I talked to Rylee, Eva, Lydia for 27 minutes in the late afternoon.\",\"I talked to Rylee, Eva, Lydia for 27 minutes in the late afternoon.\"\n12790,2013/10/14,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n12791,2013/10/14,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n12792,2013/10/15,\"I bought some strawberries, raspberries, apricots, mangos, mineral water, pineapple juice, tea, toothpaste, conditioner, mouth wash, shaving cream online.\",\"I bought some strawberries, raspberries, apricots, mangos, mineral water, pineapple juice, tea, toothpaste, conditioner, mouth wash, shaving cream online.\"\n12793,2013/10/15,I did running on 2013/10/15.,I did running on 2013/10/15.\n12794,2013/10/15,\"I had breakfast with Jackson, Avery, Willow. I ate oatmeal.\",\"I had breakfast with Jackson, Avery, Willow. I ate oatmeal.\"\n12795,2013/10/15,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n12796,2013/10/15,\"I had dinner with Nevaeh, Piper, Avery, Nora, Lydia, Hazel, Piper, Olivia, Layla, Eva, Rylee. I ate tacos.\",\"I had dinner with Nevaeh, Piper, Avery, Nora, Lydia, Hazel, Piper, Olivia, Layla, Eva, Rylee. I ate tacos.\"\n12797,2013/10/15,\"I spent 37 talking to Olivia, Nevaeh on various topics in the early evening.\",\"I spent 37 talking to Olivia, Nevaeh on various topics in the early evening.\"\n12798,2013/10/15,I spent 48 talking to Claire on various topics in the early afternoon.,I spent 48 talking to Claire on various topics in the early afternoon.\n12799,2013/10/15,\"I talked to Rylee, Nora, Piper, Nevaeh for 26 minutes in the morning.\",\"I talked to Rylee, Nora, Piper, Nevaeh for 26 minutes in the morning.\"\n12800,2013/10/15,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n12801,2013/10/15,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n12802,2013/10/16,I did swimming on 2013/10/16.,I did swimming on 2013/10/16.\n12803,2013/10/16,\"I had oatmeal for breakfast with Avery, Piper, Piper, Olivia, Lydia, Eva, Nevaeh\",\"I had oatmeal for breakfast with Avery, Piper, Piper, Olivia, Lydia, Eva, Nevaeh\"\n12804,2013/10/16,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n12805,2013/10/16,I ate a burger for dinner.,I ate a burger for dinner.\n12806,2013/10/16,\"I talked to Rylee, Hazel, Avery, Claire for 31 minutes in the early afternoon.\",\"I talked to Rylee, Hazel, Avery, Claire for 31 minutes in the early afternoon.\"\n12807,2013/10/16,\"I talked to Nevaeh, Piper for 24 minutes during lunch hours.\",\"I talked to Nevaeh, Piper for 24 minutes during lunch hours.\"\n12808,2013/10/16,\"I talked to Lydia, Piper for 32 minutes late in the evening.\",\"I talked to Lydia, Piper for 32 minutes late in the evening.\"\n12809,2013/10/16,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n12810,2013/10/16,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n12811,2013/10/17,\"I had breakfast with Piper, Lydia, Avery, Nevaeh, Kinsley, Olivia, Layla, Claire, Rylee, Eva, Piper, Nora. I ate pancakes.\",\"I had breakfast with Piper, Lydia, Avery, Nevaeh, Kinsley, Olivia, Layla, Claire, Rylee, Eva, Piper, Nora. I ate pancakes.\"\n12812,2013/10/17,I ate indian food for lunch.,I ate indian food for lunch.\n12813,2013/10/17,I ate a burger for dinner.,I ate a burger for dinner.\n12814,2013/10/17,\"I talked to Piper, Layla, Hazel for 39 minutes in the late afternoon.\",\"I talked to Piper, Layla, Hazel for 39 minutes in the late afternoon.\"\n12815,2013/10/17,I spent 6 talking to Olivia on various topics in the late afternoon.,I spent 6 talking to Olivia on various topics in the late afternoon.\n12816,2013/10/17,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n12817,2013/10/17,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n12818,2013/10/18,\"I bought some pineapples, apples, mangos, soda, mango juice, toilet paper, toothbrush from the grocery store. I saw Kinsley, Layla, Avery at the grocery store.\",\"I bought some pineapples, apples, mangos, soda, mango juice, toilet paper, toothbrush from the grocery store. I saw Kinsley, Layla, Avery at the grocery store.\"\n12819,2013/10/18,I did HIIT on 2013/10/18.,I did HIIT on 2013/10/18.\n12820,2013/10/18,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12821,2013/10/18,\"I had tacos for lunch with Benjamin, Willow\",\"I had tacos for lunch with Benjamin, Willow\"\n12822,2013/10/18,I ate chinese food for dinner.,I ate chinese food for dinner.\n12823,2013/10/18,\"I talked to Layla, Olivia, Rylee, Lydia for 34 minutes in the morning.\",\"I talked to Layla, Olivia, Rylee, Lydia for 34 minutes in the morning.\"\n12824,2013/10/18,\"I spent 37 talking to Kinsley, Nevaeh, Rylee on various topics during lunch hours.\",\"I spent 37 talking to Kinsley, Nevaeh, Rylee on various topics during lunch hours.\"\n12825,2013/10/18,\"I talked to Hazel, Nevaeh, Lydia for 33 minutes during lunch hours.\",\"I talked to Hazel, Nevaeh, Lydia for 33 minutes during lunch hours.\"\n12826,2013/10/18,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n12827,2013/10/18,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n12828,2013/10/19,\"On 2013/10/19, I took Sarah on a date to a restaurant\",\"On 2013/10/19, I took Sarah on a date to a restaurant\"\n12829,2013/10/19,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n12830,2013/10/19,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n12831,2013/10/19,I ate sandwich for dinner.,I ate sandwich for dinner.\n12832,2013/10/19,\"I talked to Piper, Hazel for 42 minutes in the early afternoon.\",\"I talked to Piper, Hazel for 42 minutes in the early afternoon.\"\n12833,2013/10/19,\"I talked to Kinsley, Lydia for 6 minutes during lunch hours.\",\"I talked to Kinsley, Lydia for 6 minutes during lunch hours.\"\n12834,2013/10/19,\"I talked to Claire, Olivia, Rylee for 30 minutes in the early evening.\",\"I talked to Claire, Olivia, Rylee for 30 minutes in the early evening.\"\n12835,2013/10/19,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n12836,2013/10/19,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n12837,2013/10/20,I did hiking on 2013/10/20.,I did hiking on 2013/10/20.\n12838,2013/10/20,\"I had oatmeal for breakfast with Rylee, Nora, Claire, Hazel, Eva, Lydia, Layla, Piper, Nevaeh, Kinsley, Olivia, Piper\",\"I had oatmeal for breakfast with Rylee, Nora, Claire, Hazel, Eva, Lydia, Layla, Piper, Nevaeh, Kinsley, Olivia, Piper\"\n12839,2013/10/20,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n12840,2013/10/20,\"I had indian food for dinner with Andrew, Kayden, Emily\",\"I had indian food for dinner with Andrew, Kayden, Emily\"\n12841,2013/10/20,\"I spent 37 talking to Claire, Kinsley on various topics in the late afternoon.\",\"I spent 37 talking to Claire, Kinsley on various topics in the late afternoon.\"\n12842,2013/10/20,\"I spent 13 talking to Eva, Nora on various topics in the late afternoon.\",\"I spent 13 talking to Eva, Nora on various topics in the late afternoon.\"\n12843,2013/10/20,\"I talked to Kinsley, Avery, Piper for 28 minutes during lunch hours.\",\"I talked to Kinsley, Avery, Piper for 28 minutes during lunch hours.\"\n12844,2013/10/20,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n12845,2013/10/20,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n12846,2013/10/21,I spent time gardening on 2013/10/21 with Emily.,I spent time gardening on 2013/10/21 with Emily.\n12847,2013/10/21,I did biking on 2013/10/21.,I did biking on 2013/10/21.\n12848,2013/10/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n12849,2013/10/21,\"I had sandwich for lunch with Kinsley, Piper, Nevaeh, Layla, Nora\",\"I had sandwich for lunch with Kinsley, Piper, Nevaeh, Layla, Nora\"\n12850,2013/10/21,I prepare sushi for dinner.,I prepare sushi for dinner.\n12851,2013/10/21,\"I spent 7 talking to Eva, Olivia, Hazel, Piper on various topics in the morning.\",\"I spent 7 talking to Eva, Olivia, Hazel, Piper on various topics in the morning.\"\n12852,2013/10/21,\"I talked to Olivia, Hazel, Avery for 51 minutes in the late afternoon.\",\"I talked to Olivia, Hazel, Avery for 51 minutes in the late afternoon.\"\n12853,2013/10/21,I talked to Claire for 40 minutes during lunch hours.,I talked to Claire for 40 minutes during lunch hours.\n12854,2013/10/21,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n12855,2013/10/21,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n12856,2013/10/22,I did biking on 2013/10/22.,I did biking on 2013/10/22.\n12857,2013/10/22,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n12858,2013/10/22,\"I had tacos for lunch with Claire, Layla, Eva, Lydia, Olivia\",\"I had tacos for lunch with Claire, Layla, Eva, Lydia, Olivia\"\n12859,2013/10/22,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n12860,2013/10/22,\"I talked to Piper, Avery, Claire for 42 minutes in the late afternoon.\",\"I talked to Piper, Avery, Claire for 42 minutes in the late afternoon.\"\n12861,2013/10/22,\"I talked to Avery, Piper, Eva, Nevaeh for 45 minutes in the morning.\",\"I talked to Avery, Piper, Eva, Nevaeh for 45 minutes in the morning.\"\n12862,2013/10/22,I talked to Hazel for 21 minutes during lunch hours.,I talked to Hazel for 21 minutes during lunch hours.\n12863,2013/10/22,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n12864,2013/10/22,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n12865,2013/10/23,\"I bought some oranges, pineapple juice, mouthwash, shampoo online.\",\"I bought some oranges, pineapple juice, mouthwash, shampoo online.\"\n12866,2013/10/23,I did weight lifting on 2013/10/23.,I did weight lifting on 2013/10/23.\n12867,2013/10/23,\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate cereals.\",\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate cereals.\"\n12868,2013/10/23,I prepare a burger for lunch.,I prepare a burger for lunch.\n12869,2013/10/23,\"I had dinner with Avery, Hazel, Piper, Nora, Lydia, Nevaeh. I ate tacos.\",\"I had dinner with Avery, Hazel, Piper, Nora, Lydia, Nevaeh. I ate tacos.\"\n12870,2013/10/23,\"I talked to Nora, Nevaeh, Claire for 37 minutes in the early afternoon.\",\"I talked to Nora, Nevaeh, Claire for 37 minutes in the early afternoon.\"\n12871,2013/10/23,\"I talked to Hazel, Layla, Claire, Nevaeh for 29 minutes in the late afternoon.\",\"I talked to Hazel, Layla, Claire, Nevaeh for 29 minutes in the late afternoon.\"\n12872,2013/10/23,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n12873,2013/10/23,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n12874,2013/10/24,I did weight lifting on 2013/10/24.,I did weight lifting on 2013/10/24.\n12875,2013/10/24,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n12876,2013/10/24,I prepare sushi for lunch.,I prepare sushi for lunch.\n12877,2013/10/24,I prepare sushi for dinner.,I prepare sushi for dinner.\n12878,2013/10/24,\"I spent 24 talking to Claire, Hazel on various topics late in the evening.\",\"I spent 24 talking to Claire, Hazel on various topics late in the evening.\"\n12879,2013/10/24,\"I spent 10 talking to Nora, Nevaeh, Piper, Lydia on various topics in the late afternoon.\",\"I spent 10 talking to Nora, Nevaeh, Piper, Lydia on various topics in the late afternoon.\"\n12880,2013/10/24,\"I talked to Nevaeh, Piper, Piper for 45 minutes late in the evening.\",\"I talked to Nevaeh, Piper, Piper for 45 minutes late in the evening.\"\n12881,2013/10/24,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n12882,2013/10/24,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n12883,2013/10/25,I did hiking on 2013/10/25.,I did hiking on 2013/10/25.\n12884,2013/10/25,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n12885,2013/10/25,\"I had lunch with Hazel, Olivia, Nora, Piper, Layla, Claire. I ate a burger.\",\"I had lunch with Hazel, Olivia, Nora, Piper, Layla, Claire. I ate a burger.\"\n12886,2013/10/25,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n12887,2013/10/25,\"I talked to Hazel, Piper for 21 minutes in the late afternoon.\",\"I talked to Hazel, Piper for 21 minutes in the late afternoon.\"\n12888,2013/10/25,\"I talked to Piper, Claire, Eva, Nevaeh for 37 minutes in the early afternoon.\",\"I talked to Piper, Claire, Eva, Nevaeh for 37 minutes in the early afternoon.\"\n12889,2013/10/25,\"I spent 55 talking to Rylee, Avery, Layla on various topics late in the evening.\",\"I spent 55 talking to Rylee, Avery, Layla on various topics late in the evening.\"\n12890,2013/10/25,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n12891,2013/10/25,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n12892,2013/10/26,I did hiking on 2013/10/26.,I did hiking on 2013/10/26.\n12893,2013/10/26,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n12894,2013/10/26,I had lunch with Andrew. I ate tacos.,I had lunch with Andrew. I ate tacos.\n12895,2013/10/26,I ate steak for dinner.,I ate steak for dinner.\n12896,2013/10/26,I spent 26 talking to Claire on various topics in the morning.,I spent 26 talking to Claire on various topics in the morning.\n12897,2013/10/26,I talked to Piper for 51 minutes late in the evening.,I talked to Piper for 51 minutes late in the evening.\n12898,2013/10/26,\"I spent 15 talking to Layla, Avery on various topics in the morning.\",\"I spent 15 talking to Layla, Avery on various topics in the morning.\"\n12899,2013/10/26,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n12900,2013/10/26,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n12901,2013/10/27,I did running on 2013/10/27.,I did running on 2013/10/27.\n12902,2013/10/27,I had toast and cheese for breakfast with Emily,I had toast and cheese for breakfast with Emily\n12903,2013/10/27,I had lunch with Andrew. I ate chinese food.,I had lunch with Andrew. I ate chinese food.\n12904,2013/10/27,I ate steak for dinner.,I ate steak for dinner.\n12905,2013/10/27,\"I spent 32 talking to Piper, Olivia, Hazel, Layla on various topics late in the evening.\",\"I spent 32 talking to Piper, Olivia, Hazel, Layla on various topics late in the evening.\"\n12906,2013/10/27,\"I spent 45 talking to Piper, Avery, Claire, Rylee on various topics during lunch hours.\",\"I spent 45 talking to Piper, Avery, Claire, Rylee on various topics during lunch hours.\"\n12907,2013/10/27,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n12908,2013/10/27,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n12909,2013/10/28,\"I bought some pineapples, guava, mandarins, watermelons, sports drinks, soda, toilet paper online.\",\"I bought some pineapples, guava, mandarins, watermelons, sports drinks, soda, toilet paper online.\"\n12910,2013/10/28,I did HIIT on 2013/10/28.,I did HIIT on 2013/10/28.\n12911,2013/10/28,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12912,2013/10/28,\"I had lunch with Hazel, Nevaeh, Nora, Piper, Olivia, Eva, Lydia, Piper, Claire, Kinsley, Rylee. I ate sandwich.\",\"I had lunch with Hazel, Nevaeh, Nora, Piper, Olivia, Eva, Lydia, Piper, Claire, Kinsley, Rylee. I ate sandwich.\"\n12913,2013/10/28,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n12914,2013/10/28,\"I talked to Lydia, Nevaeh, Hazel, Piper for 20 minutes in the early afternoon.\",\"I talked to Lydia, Nevaeh, Hazel, Piper for 20 minutes in the early afternoon.\"\n12915,2013/10/28,\"I spent 26 talking to Olivia, Eva, Lydia, Nevaeh on various topics during lunch hours.\",\"I spent 26 talking to Olivia, Eva, Lydia, Nevaeh on various topics during lunch hours.\"\n12916,2013/10/28,\"I talked to Piper, Lydia for 35 minutes in the late afternoon.\",\"I talked to Piper, Lydia for 35 minutes in the late afternoon.\"\n12917,2013/10/28,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n12918,2013/10/28,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n12919,2013/10/29,\"I went grocery shopping with Jackson, Benjamin, Avery. I bought some raspberries, mineral water, sports drinks, and mouthwash, shaving cream, mouth wash\",\"I went grocery shopping with Jackson, Benjamin, Avery. I bought some raspberries, mineral water, sports drinks, and mouthwash, shaving cream, mouth wash\"\n12920,2013/10/29,I did biking on 2013/10/29.,I did biking on 2013/10/29.\n12921,2013/10/29,I had pancakes for breakfast with Andrew,I had pancakes for breakfast with Andrew\n12922,2013/10/29,I ate sushi for lunch.,I ate sushi for lunch.\n12923,2013/10/29,\"I had chinese food for dinner with Willow, Avery, Benjamin, Jackson\",\"I had chinese food for dinner with Willow, Avery, Benjamin, Jackson\"\n12924,2013/10/29,\"I talked to Kinsley, Piper for 48 minutes in the early evening.\",\"I talked to Kinsley, Piper for 48 minutes in the early evening.\"\n12925,2013/10/29,\"I talked to Rylee, Eva, Hazel for 43 minutes late in the evening.\",\"I talked to Rylee, Eva, Hazel for 43 minutes late in the evening.\"\n12926,2013/10/29,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n12927,2013/10/29,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n12928,2013/10/30,\"I spent time yoga on 2013/10/30 with Hazel, Piper, Layla.\",\"I spent time yoga on 2013/10/30 with Hazel, Piper, Layla.\"\n12929,2013/10/30,I did swimming on 2013/10/30.,I did swimming on 2013/10/30.\n12930,2013/10/30,I had toast and cheese for breakfast with Kayden,I had toast and cheese for breakfast with Kayden\n12931,2013/10/30,\"I had sandwich for lunch with Willow, Avery\",\"I had sandwich for lunch with Willow, Avery\"\n12932,2013/10/30,\"I had dinner with Carter, Emily, Kayden, Andrew. I ate steak.\",\"I had dinner with Carter, Emily, Kayden, Andrew. I ate steak.\"\n12933,2013/10/30,I spent 43 talking to Avery on various topics in the early evening.,I spent 43 talking to Avery on various topics in the early evening.\n12934,2013/10/30,I spent 7 talking to Piper on various topics in the early afternoon.,I spent 7 talking to Piper on various topics in the early afternoon.\n12935,2013/10/30,\"I spent 46 talking to Claire, Layla, Piper, Avery on various topics late in the evening.\",\"I spent 46 talking to Claire, Layla, Piper, Avery on various topics late in the evening.\"\n12936,2013/10/30,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n12937,2013/10/30,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n12938,2013/10/31,I did biking on 2013/10/31.,I did biking on 2013/10/31.\n12939,2013/10/31,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12940,2013/10/31,\"I had lunch with Olivia, Piper, Piper, Kinsley, Nora, Claire. I ate indian food.\",\"I had lunch with Olivia, Piper, Piper, Kinsley, Nora, Claire. I ate indian food.\"\n12941,2013/10/31,I prepare tacos for dinner.,I prepare tacos for dinner.\n12942,2013/10/31,I talked to Eva for 50 minutes late in the evening.,I talked to Eva for 50 minutes late in the evening.\n12943,2013/10/31,I talked to Nevaeh for 33 minutes late in the evening.,I talked to Nevaeh for 33 minutes late in the evening.\n12944,2013/10/31,\"I talked to Nevaeh, Claire for 14 minutes during lunch hours.\",\"I talked to Nevaeh, Claire for 14 minutes during lunch hours.\"\n12945,2013/10/31,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n12946,2013/10/31,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n12947,2013/11/01,I did hiking on 2013/11/01.,I did hiking on 2013/11/01.\n12948,2013/11/01,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n12949,2013/11/01,I ate sandwich for lunch.,I ate sandwich for lunch.\n12950,2013/11/01,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n12951,2013/11/01,\"I spent 28 talking to Olivia, Nora, Kinsley, Rylee on various topics in the morning.\",\"I spent 28 talking to Olivia, Nora, Kinsley, Rylee on various topics in the morning.\"\n12952,2013/11/01,\"I talked to Claire, Piper, Nora for 49 minutes in the morning.\",\"I talked to Claire, Piper, Nora for 49 minutes in the morning.\"\n12953,2013/11/01,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n12954,2013/11/01,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n12955,2013/11/02,\"I spent time working out on 2013/11/02 with Layla, Kinsley.\",\"I spent time working out on 2013/11/02 with Layla, Kinsley.\"\n12956,2013/11/02,I did swimming on 2013/11/02.,I did swimming on 2013/11/02.\n12957,2013/11/02,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n12958,2013/11/02,I ate indian food for lunch.,I ate indian food for lunch.\n12959,2013/11/02,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n12960,2013/11/02,\"I spent 54 talking to Hazel, Claire, Eva, Nora on various topics in the early afternoon.\",\"I spent 54 talking to Hazel, Claire, Eva, Nora on various topics in the early afternoon.\"\n12961,2013/11/02,I talked to Piper for 45 minutes in the early afternoon.,I talked to Piper for 45 minutes in the early afternoon.\n12962,2013/11/02,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n12963,2013/11/02,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n12964,2013/11/03,\"I went grocery shopping. I bought some blackberries, mandarins, pineapples, sports drinks, mango juice, pineapple juice, and paper towel, mouthwash\",\"I went grocery shopping. I bought some blackberries, mandarins, pineapples, sports drinks, mango juice, pineapple juice, and paper towel, mouthwash\"\n12965,2013/11/03,I did swimming on 2013/11/03.,I did swimming on 2013/11/03.\n12966,2013/11/03,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n12967,2013/11/03,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n12968,2013/11/03,I ate steak for dinner.,I ate steak for dinner.\n12969,2013/11/03,I talked to Kinsley for 31 minutes late in the evening.,I talked to Kinsley for 31 minutes late in the evening.\n12970,2013/11/03,\"I spent 14 talking to Claire, Nevaeh, Rylee on various topics in the morning.\",\"I spent 14 talking to Claire, Nevaeh, Rylee on various topics in the morning.\"\n12971,2013/11/03,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n12972,2013/11/03,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n12973,2013/11/04,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12974,2013/11/04,I had chinese food for lunch with Kayden,I had chinese food for lunch with Kayden\n12975,2013/11/04,I prepare sushi for dinner.,I prepare sushi for dinner.\n12976,2013/11/04,I spent 38 talking to Piper on various topics in the late afternoon.,I spent 38 talking to Piper on various topics in the late afternoon.\n12977,2013/11/04,\"I talked to Layla, Piper, Olivia, Lydia for 9 minutes late in the evening.\",\"I talked to Layla, Piper, Olivia, Lydia for 9 minutes late in the evening.\"\n12978,2013/11/04,\"I spent 41 talking to Nora, Eva, Kinsley on various topics in the late afternoon.\",\"I spent 41 talking to Nora, Eva, Kinsley on various topics in the late afternoon.\"\n12979,2013/11/04,\"I talked to Claire, Olivia for 37 minutes in the morning.\",\"I talked to Claire, Olivia for 37 minutes in the morning.\"\n12980,2013/11/04,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n12981,2013/11/04,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n12982,2013/11/05,I did biking on 2013/11/05.,I did biking on 2013/11/05.\n12983,2013/11/05,\"I had breakfast with Lydia, Avery, Kinsley, Claire, Piper. I ate oatmeal.\",\"I had breakfast with Lydia, Avery, Kinsley, Claire, Piper. I ate oatmeal.\"\n12984,2013/11/05,I prepare a burger for lunch.,I prepare a burger for lunch.\n12985,2013/11/05,I ate pasta for dinner.,I ate pasta for dinner.\n12986,2013/11/05,\"I spent 7 talking to Nevaeh, Piper, Kinsley, Hazel on various topics in the early evening.\",\"I spent 7 talking to Nevaeh, Piper, Kinsley, Hazel on various topics in the early evening.\"\n12987,2013/11/05,\"I spent 16 talking to Layla, Lydia, Piper on various topics in the late afternoon.\",\"I spent 16 talking to Layla, Lydia, Piper on various topics in the late afternoon.\"\n12988,2013/11/05,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n12989,2013/11/05,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n12990,2013/11/06,I did biking on 2013/11/06.,I did biking on 2013/11/06.\n12991,2013/11/06,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n12992,2013/11/06,I ate steak for lunch.,I ate steak for lunch.\n12993,2013/11/06,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n12994,2013/11/06,\"I spent 51 talking to Rylee, Eva on various topics in the early evening.\",\"I spent 51 talking to Rylee, Eva on various topics in the early evening.\"\n12995,2013/11/06,\"I spent 6 talking to Kinsley, Piper, Eva, Rylee on various topics in the late afternoon.\",\"I spent 6 talking to Kinsley, Piper, Eva, Rylee on various topics in the late afternoon.\"\n12996,2013/11/06,\"I spent 27 talking to Olivia, Nevaeh, Nora, Piper on various topics in the late afternoon.\",\"I spent 27 talking to Olivia, Nevaeh, Nora, Piper on various topics in the late afternoon.\"\n12997,2013/11/06,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n12998,2013/11/06,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n12999,2013/11/07,\"I bought some strawberries, bananas, peaches, mandarins, orange juice, coffee, toothpaste online.\",\"I bought some strawberries, bananas, peaches, mandarins, orange juice, coffee, toothpaste online.\"\n13000,2013/11/07,I did running on 2013/11/07.,I did running on 2013/11/07.\n13001,2013/11/07,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n13002,2013/11/07,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n13003,2013/11/07,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n13004,2013/11/07,I spent 52 talking to Lydia on various topics late in the evening.,I spent 52 talking to Lydia on various topics late in the evening.\n13005,2013/11/07,\"I spent 11 talking to Kinsley, Layla, Piper, Rylee on various topics in the morning.\",\"I spent 11 talking to Kinsley, Layla, Piper, Rylee on various topics in the morning.\"\n13006,2013/11/07,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n13007,2013/11/07,I spent 5 minutes watching a documentary on TV today.,I spent 5 minutes watching a documentary on TV today.\n13008,2013/11/08,I did running on 2013/11/08.,I did running on 2013/11/08.\n13009,2013/11/08,\"I had cereals for breakfast with Andrew, Kayden\",\"I had cereals for breakfast with Andrew, Kayden\"\n13010,2013/11/08,I had fish and chips for lunch with Andrew,I had fish and chips for lunch with Andrew\n13011,2013/11/08,I ate a burger for dinner.,I ate a burger for dinner.\n13012,2013/11/08,\"I talked to Layla, Eva, Hazel, Rylee for 42 minutes in the early evening.\",\"I talked to Layla, Eva, Hazel, Rylee for 42 minutes in the early evening.\"\n13013,2013/11/08,\"I spent 47 talking to Kinsley, Rylee, Hazel on various topics in the late afternoon.\",\"I spent 47 talking to Kinsley, Rylee, Hazel on various topics in the late afternoon.\"\n13014,2013/11/08,I talked to Piper for 10 minutes in the early evening.,I talked to Piper for 10 minutes in the early evening.\n13015,2013/11/08,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n13016,2013/11/08,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n13017,2013/11/09,I did HIIT on 2013/11/09.,I did HIIT on 2013/11/09.\n13018,2013/11/09,\"I had oatmeal for breakfast with Layla, Avery, Eva, Hazel, Piper, Olivia, Nora, Piper, Kinsley, Nevaeh, Claire\",\"I had oatmeal for breakfast with Layla, Avery, Eva, Hazel, Piper, Olivia, Nora, Piper, Kinsley, Nevaeh, Claire\"\n13019,2013/11/09,I ate steak for lunch.,I ate steak for lunch.\n13020,2013/11/09,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n13021,2013/11/09,\"I talked to Nevaeh, Lydia, Olivia for 22 minutes in the early afternoon.\",\"I talked to Nevaeh, Lydia, Olivia for 22 minutes in the early afternoon.\"\n13022,2013/11/09,\"I spent 26 talking to Claire, Olivia, Lydia on various topics in the early evening.\",\"I spent 26 talking to Claire, Olivia, Lydia on various topics in the early evening.\"\n13023,2013/11/09,\"I spent 38 talking to Eva, Claire on various topics in the late afternoon.\",\"I spent 38 talking to Eva, Claire on various topics in the late afternoon.\"\n13024,2013/11/09,I talked to Piper for 22 minutes in the late afternoon.,I talked to Piper for 22 minutes in the late afternoon.\n13025,2013/11/09,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n13026,2013/11/09,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n13027,2013/11/10,\"I went grocery shopping with Andrew, Emily, Kayden. I bought some peaches, watermelons, bananas, pineapple juice, mineral water, and toothpaste\",\"I went grocery shopping with Andrew, Emily, Kayden. I bought some peaches, watermelons, bananas, pineapple juice, mineral water, and toothpaste\"\n13028,2013/11/10,I did biking on 2013/11/10.,I did biking on 2013/11/10.\n13029,2013/11/10,\"I had oatmeal for breakfast with Piper, Piper, Nora, Kinsley\",\"I had oatmeal for breakfast with Piper, Piper, Nora, Kinsley\"\n13030,2013/11/10,I had lunch. I ate steak.,I had lunch. I ate steak.\n13031,2013/11/10,\"I had dinner with Nora, Piper, Eva, Layla, Nevaeh, Piper, Kinsley, Olivia, Hazel, Rylee. I ate chinese food.\",\"I had dinner with Nora, Piper, Eva, Layla, Nevaeh, Piper, Kinsley, Olivia, Hazel, Rylee. I ate chinese food.\"\n13032,2013/11/10,I spent 51 talking to Layla on various topics in the morning.,I spent 51 talking to Layla on various topics in the morning.\n13033,2013/11/10,\"I talked to Eva, Lydia, Piper for 43 minutes in the early evening.\",\"I talked to Eva, Lydia, Piper for 43 minutes in the early evening.\"\n13034,2013/11/10,\"I spent 38 talking to Avery, Eva, Lydia, Claire on various topics in the early evening.\",\"I spent 38 talking to Avery, Eva, Lydia, Claire on various topics in the early evening.\"\n13035,2013/11/10,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n13036,2013/11/10,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n13037,2013/11/11,\"I spent time learning a language on 2013/11/11 with Emily, Kayden.\",\"I spent time learning a language on 2013/11/11 with Emily, Kayden.\"\n13038,2013/11/11,I did hiking on 2013/11/11.,I did hiking on 2013/11/11.\n13039,2013/11/11,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n13040,2013/11/11,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n13041,2013/11/11,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n13042,2013/11/11,\"I spent 21 talking to Layla, Rylee, Kinsley on various topics in the early afternoon.\",\"I spent 21 talking to Layla, Rylee, Kinsley on various topics in the early afternoon.\"\n13043,2013/11/11,\"I talked to Rylee, Olivia, Piper, Hazel for 35 minutes late in the evening.\",\"I talked to Rylee, Olivia, Piper, Hazel for 35 minutes late in the evening.\"\n13044,2013/11/11,\"I spent 15 talking to Piper, Nora on various topics in the late afternoon.\",\"I spent 15 talking to Piper, Nora on various topics in the late afternoon.\"\n13045,2013/11/11,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n13046,2013/11/11,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n13047,2013/11/12,\"I bought some apples, watermelons, coffee, paper towel, body lotion from the grocery store. I saw Piper, Lydia, Rylee, Avery, Layla, Olivia, Kinsley, Claire at the grocery store.\",\"I bought some apples, watermelons, coffee, paper towel, body lotion from the grocery store. I saw Piper, Lydia, Rylee, Avery, Layla, Olivia, Kinsley, Claire at the grocery store.\"\n13048,2013/11/12,I did HIIT on 2013/11/12.,I did HIIT on 2013/11/12.\n13049,2013/11/12,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n13050,2013/11/12,\"I had tacos for lunch with Avery, Willow\",\"I had tacos for lunch with Avery, Willow\"\n13051,2013/11/12,\"I had dinner with Rylee, Nora, Kinsley, Piper, Nevaeh, Layla, Hazel, Olivia, Lydia, Eva, Piper, Avery. I ate fish and chips.\",\"I had dinner with Rylee, Nora, Kinsley, Piper, Nevaeh, Layla, Hazel, Olivia, Lydia, Eva, Piper, Avery. I ate fish and chips.\"\n13052,2013/11/12,I talked to Eva for 48 minutes during lunch hours.,I talked to Eva for 48 minutes during lunch hours.\n13053,2013/11/12,\"I spent 54 talking to Eva, Lydia on various topics late in the evening.\",\"I spent 54 talking to Eva, Lydia on various topics late in the evening.\"\n13054,2013/11/12,\"I spent 24 talking to Piper, Olivia, Layla on various topics in the late afternoon.\",\"I spent 24 talking to Piper, Olivia, Layla on various topics in the late afternoon.\"\n13055,2013/11/12,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n13056,2013/11/12,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n13057,2013/11/13,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n13058,2013/11/13,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n13059,2013/11/13,\"I had chinese food for dinner with Willow, Jackson, Benjamin, Avery\",\"I had chinese food for dinner with Willow, Jackson, Benjamin, Avery\"\n13060,2013/11/13,I spent 45 talking to Kinsley on various topics during lunch hours.,I spent 45 talking to Kinsley on various topics during lunch hours.\n13061,2013/11/13,I talked to Piper for 41 minutes in the early afternoon.,I talked to Piper for 41 minutes in the early afternoon.\n13062,2013/11/13,\"I spent 41 talking to Olivia, Piper, Avery on various topics during lunch hours.\",\"I spent 41 talking to Olivia, Piper, Avery on various topics during lunch hours.\"\n13063,2013/11/13,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n13064,2013/11/13,I spent 39 minutes watching a movie on TV today.,I spent 39 minutes watching a movie on TV today.\n13065,2013/11/14,I spent some time working out on 2013/11/14.,I spent some time working out on 2013/11/14.\n13066,2013/11/14,I did HIIT on 2013/11/14.,I did HIIT on 2013/11/14.\n13067,2013/11/14,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n13068,2013/11/14,I ate chinese food for lunch.,I ate chinese food for lunch.\n13069,2013/11/14,\"I had dinner with Andrew, Emily. I ate steak.\",\"I had dinner with Andrew, Emily. I ate steak.\"\n13070,2013/11/14,I talked to Olivia for 22 minutes in the late afternoon.,I talked to Olivia for 22 minutes in the late afternoon.\n13071,2013/11/14,\"I talked to Kinsley, Nevaeh for 38 minutes in the early afternoon.\",\"I talked to Kinsley, Nevaeh for 38 minutes in the early afternoon.\"\n13072,2013/11/14,\"I talked to Hazel, Kinsley for 40 minutes during lunch hours.\",\"I talked to Hazel, Kinsley for 40 minutes during lunch hours.\"\n13073,2013/11/14,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n13074,2013/11/14,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n13075,2013/11/15,I did swimming on 2013/11/15.,I did swimming on 2013/11/15.\n13076,2013/11/15,\"I had breakfast with Carter, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Kayden. I ate peanut-butter-jam.\"\n13077,2013/11/15,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n13078,2013/11/15,\"I had dinner with Carter, Andrew, Emily, Kayden. I ate chinese food.\",\"I had dinner with Carter, Andrew, Emily, Kayden. I ate chinese food.\"\n13079,2013/11/15,\"I spent 55 talking to Piper, Lydia, Olivia on various topics late in the evening.\",\"I spent 55 talking to Piper, Lydia, Olivia on various topics late in the evening.\"\n13080,2013/11/15,\"I spent 45 talking to Rylee, Eva on various topics during lunch hours.\",\"I spent 45 talking to Rylee, Eva on various topics during lunch hours.\"\n13081,2013/11/15,\"I spent 10 talking to Piper, Nevaeh on various topics late in the evening.\",\"I spent 10 talking to Piper, Nevaeh on various topics late in the evening.\"\n13082,2013/11/15,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n13083,2013/11/15,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n13084,2013/11/16,I did swimming on 2013/11/16.,I did swimming on 2013/11/16.\n13085,2013/11/16,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n13086,2013/11/16,\"I had lunch with Piper, Nora, Rylee, Claire, Avery, Kinsley, Hazel, Piper, Layla, Nevaeh, Eva, Lydia. I ate a burger.\",\"I had lunch with Piper, Nora, Rylee, Claire, Avery, Kinsley, Hazel, Piper, Layla, Nevaeh, Eva, Lydia. I ate a burger.\"\n13087,2013/11/16,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n13088,2013/11/16,I spent 29 talking to Rylee on various topics late in the evening.,I spent 29 talking to Rylee on various topics late in the evening.\n13089,2013/11/16,I talked to Piper for 55 minutes in the early evening.,I talked to Piper for 55 minutes in the early evening.\n13090,2013/11/16,\"I spent 55 talking to Avery, Piper on various topics late in the evening.\",\"I spent 55 talking to Avery, Piper on various topics late in the evening.\"\n13091,2013/11/16,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n13092,2013/11/16,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n13093,2013/11/17,I did HIIT on 2013/11/17.,I did HIIT on 2013/11/17.\n13094,2013/11/17,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n13095,2013/11/17,I prepare steak for lunch.,I prepare steak for lunch.\n13096,2013/11/17,\"I had steak for dinner with Avery, Rylee, Lydia, Olivia, Piper, Layla, Hazel, Piper\",\"I had steak for dinner with Avery, Rylee, Lydia, Olivia, Piper, Layla, Hazel, Piper\"\n13097,2013/11/17,I spent 54 talking to Layla on various topics in the early evening.,I spent 54 talking to Layla on various topics in the early evening.\n13098,2013/11/17,\"I spent 19 talking to Eva, Nevaeh, Layla on various topics in the late afternoon.\",\"I spent 19 talking to Eva, Nevaeh, Layla on various topics in the late afternoon.\"\n13099,2013/11/17,\"I talked to Piper, Eva, Kinsley for 54 minutes in the late afternoon.\",\"I talked to Piper, Eva, Kinsley for 54 minutes in the late afternoon.\"\n13100,2013/11/17,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n13101,2013/11/17,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n13102,2013/11/18,I spent some time meditation on 2013/11/18.,I spent some time meditation on 2013/11/18.\n13103,2013/11/18,\"I went grocery shopping with Olivia. I bought some cherres, guava juice, apple juice, pineapple juice, sports drinks, and toilet paper, conditioner, facial wash\",\"I went grocery shopping with Olivia. I bought some cherres, guava juice, apple juice, pineapple juice, sports drinks, and toilet paper, conditioner, facial wash\"\n13104,2013/11/18,I did HIIT on 2013/11/18.,I did HIIT on 2013/11/18.\n13105,2013/11/18,\"I had peanut-butter-jam for breakfast with Olivia, Hazel, Eva, Avery, Piper, Lydia, Layla, Nevaeh, Rylee, Nora\",\"I had peanut-butter-jam for breakfast with Olivia, Hazel, Eva, Avery, Piper, Lydia, Layla, Nevaeh, Rylee, Nora\"\n13106,2013/11/18,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n13107,2013/11/18,\"I had steak for dinner with Benjamin, Jackson\",\"I had steak for dinner with Benjamin, Jackson\"\n13108,2013/11/18,\"I talked to Avery, Piper, Claire, Rylee for 5 minutes in the early evening.\",\"I talked to Avery, Piper, Claire, Rylee for 5 minutes in the early evening.\"\n13109,2013/11/18,\"I talked to Hazel, Claire, Nora, Olivia for 38 minutes in the early evening.\",\"I talked to Hazel, Claire, Nora, Olivia for 38 minutes in the early evening.\"\n13110,2013/11/18,\"I talked to Nora, Hazel, Lydia, Piper for 32 minutes in the early evening.\",\"I talked to Nora, Hazel, Lydia, Piper for 32 minutes in the early evening.\"\n13111,2013/11/18,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n13112,2013/11/18,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n13113,2013/11/19,\"I bought some raspberries, oranges, pears, milk, mouthwash, conditioner, toothbrush from the grocery store. I saw Willow, Benjamin at the grocery store.\",\"I bought some raspberries, oranges, pears, milk, mouthwash, conditioner, toothbrush from the grocery store. I saw Willow, Benjamin at the grocery store.\"\n13114,2013/11/19,I did HIIT on 2013/11/19.,I did HIIT on 2013/11/19.\n13115,2013/11/19,\"I had breakfast with Benjamin, Jackson, Willow. I ate pancakes.\",\"I had breakfast with Benjamin, Jackson, Willow. I ate pancakes.\"\n13116,2013/11/19,\"I had steak for lunch with Emily, Kayden\",\"I had steak for lunch with Emily, Kayden\"\n13117,2013/11/19,\"I had sushi for dinner with Benjamin, Willow, Avery, Jackson\",\"I had sushi for dinner with Benjamin, Willow, Avery, Jackson\"\n13118,2013/11/19,\"I talked to Piper, Layla, Kinsley, Nora for 49 minutes during lunch hours.\",\"I talked to Piper, Layla, Kinsley, Nora for 49 minutes during lunch hours.\"\n13119,2013/11/19,\"I talked to Piper, Piper for 35 minutes late in the evening.\",\"I talked to Piper, Piper for 35 minutes late in the evening.\"\n13120,2013/11/19,\"I spent 40 talking to Piper, Hazel, Nevaeh on various topics during lunch hours.\",\"I spent 40 talking to Piper, Hazel, Nevaeh on various topics during lunch hours.\"\n13121,2013/11/19,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n13122,2013/11/19,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n13123,2013/11/20,\"I had eggs, sausages, and bread for breakfast with Benjamin, Willow\",\"I had eggs, sausages, and bread for breakfast with Benjamin, Willow\"\n13124,2013/11/20,I ate chinese food for lunch.,I ate chinese food for lunch.\n13125,2013/11/20,I prepare steak for dinner.,I prepare steak for dinner.\n13126,2013/11/20,I talked to Kinsley for 51 minutes in the late afternoon.,I talked to Kinsley for 51 minutes in the late afternoon.\n13127,2013/11/20,\"I spent 10 talking to Nora, Olivia, Rylee, Eva on various topics in the early evening.\",\"I spent 10 talking to Nora, Olivia, Rylee, Eva on various topics in the early evening.\"\n13128,2013/11/20,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n13129,2013/11/20,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n13130,2013/11/21,I did weight lifting on 2013/11/21.,I did weight lifting on 2013/11/21.\n13131,2013/11/21,I had breakfast with Avery. I ate cereals.,I had breakfast with Avery. I ate cereals.\n13132,2013/11/21,\"I had lunch with Eva, Nevaeh, Lydia, Rylee, Avery, Piper. I ate steak.\",\"I had lunch with Eva, Nevaeh, Lydia, Rylee, Avery, Piper. I ate steak.\"\n13133,2013/11/21,I prepare a burger for dinner.,I prepare a burger for dinner.\n13134,2013/11/21,\"I talked to Eva, Rylee, Avery, Claire for 15 minutes in the early afternoon.\",\"I talked to Eva, Rylee, Avery, Claire for 15 minutes in the early afternoon.\"\n13135,2013/11/21,\"I spent 12 talking to Piper, Olivia, Kinsley, Lydia on various topics late in the evening.\",\"I spent 12 talking to Piper, Olivia, Kinsley, Lydia on various topics late in the evening.\"\n13136,2013/11/21,\"I talked to Claire, Layla, Lydia for 28 minutes in the early evening.\",\"I talked to Claire, Layla, Lydia for 28 minutes in the early evening.\"\n13137,2013/11/21,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n13138,2013/11/21,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n13139,2013/11/22,I did hiking on 2013/11/22.,I did hiking on 2013/11/22.\n13140,2013/11/22,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n13141,2013/11/22,I ate steak for lunch.,I ate steak for lunch.\n13142,2013/11/22,\"I had dinner with Emily, Carter, Kayden, Andrew. I ate sushi.\",\"I had dinner with Emily, Carter, Kayden, Andrew. I ate sushi.\"\n13143,2013/11/22,\"I talked to Hazel, Lydia, Piper for 5 minutes in the early evening.\",\"I talked to Hazel, Lydia, Piper for 5 minutes in the early evening.\"\n13144,2013/11/22,I talked to Piper for 48 minutes during lunch hours.,I talked to Piper for 48 minutes during lunch hours.\n13145,2013/11/22,I spent 41 talking to Nevaeh on various topics during lunch hours.,I spent 41 talking to Nevaeh on various topics during lunch hours.\n13146,2013/11/22,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n13147,2013/11/22,I spent 22 minutes watching a movie on TV today.,I spent 22 minutes watching a movie on TV today.\n13148,2013/11/23,I did hiking on 2013/11/23.,I did hiking on 2013/11/23.\n13149,2013/11/23,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n13150,2013/11/23,\"I had fish and chips for lunch with Carter, Emily, Andrew, Kayden\",\"I had fish and chips for lunch with Carter, Emily, Andrew, Kayden\"\n13151,2013/11/23,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n13152,2013/11/23,\"I spent 54 talking to Hazel, Eva, Olivia, Layla on various topics late in the evening.\",\"I spent 54 talking to Hazel, Eva, Olivia, Layla on various topics late in the evening.\"\n13153,2013/11/23,\"I talked to Eva, Kinsley for 20 minutes during lunch hours.\",\"I talked to Eva, Kinsley for 20 minutes during lunch hours.\"\n13154,2013/11/23,\"I spent 16 talking to Olivia, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 16 talking to Olivia, Piper, Nevaeh on various topics in the late afternoon.\"\n13155,2013/11/23,\"I spent 46 talking to Piper, Piper, Olivia on various topics during lunch hours.\",\"I spent 46 talking to Piper, Piper, Olivia on various topics during lunch hours.\"\n13156,2013/11/23,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n13157,2013/11/23,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n13158,2013/11/24,I really enjoyed working out on 2013/11/24,I really enjoyed working out on 2013/11/24\n13159,2013/11/24,I did hiking on 2013/11/24.,I did hiking on 2013/11/24.\n13160,2013/11/24,\"I had pancakes for breakfast with Nora, Piper\",\"I had pancakes for breakfast with Nora, Piper\"\n13161,2013/11/24,I prepare sushi for lunch.,I prepare sushi for lunch.\n13162,2013/11/24,\"I had dinner with Carter, Kayden, Andrew. I ate fish and chips.\",\"I had dinner with Carter, Kayden, Andrew. I ate fish and chips.\"\n13163,2013/11/24,I talked to Piper for 14 minutes in the early afternoon.,I talked to Piper for 14 minutes in the early afternoon.\n13164,2013/11/24,\"I spent 23 talking to Piper, Piper, Hazel on various topics in the morning.\",\"I spent 23 talking to Piper, Piper, Hazel on various topics in the morning.\"\n13165,2013/11/24,I talked to Hazel for 24 minutes late in the evening.,I talked to Hazel for 24 minutes late in the evening.\n13166,2013/11/24,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n13167,2013/11/24,I spent 22 minutes watching a movie on TV today.,I spent 22 minutes watching a movie on TV today.\n13168,2013/11/25,\"On 2013/11/25, I took Evelyn on a date to a restaurant\",\"On 2013/11/25, I took Evelyn on a date to a restaurant\"\n13169,2013/11/25,\"I went grocery shopping with Hazel, Eva, Avery. I bought some bananas, tea, chocolate milk, apple juice, soda, and mouthwash\",\"I went grocery shopping with Hazel, Eva, Avery. I bought some bananas, tea, chocolate milk, apple juice, soda, and mouthwash\"\n13170,2013/11/25,I did biking on 2013/11/25.,I did biking on 2013/11/25.\n13171,2013/11/25,\"I had breakfast with Nora, Kinsley. I ate oatmeal.\",\"I had breakfast with Nora, Kinsley. I ate oatmeal.\"\n13172,2013/11/25,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n13173,2013/11/25,\"I had dinner with Lydia, Kinsley, Hazel, Rylee, Eva, Nora, Nevaeh, Claire, Olivia, Avery, Layla. I ate indian food.\",\"I had dinner with Lydia, Kinsley, Hazel, Rylee, Eva, Nora, Nevaeh, Claire, Olivia, Avery, Layla. I ate indian food.\"\n13174,2013/11/25,\"I talked to Eva, Kinsley for 8 minutes in the early afternoon.\",\"I talked to Eva, Kinsley for 8 minutes in the early afternoon.\"\n13175,2013/11/25,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n13176,2013/11/25,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n13177,2013/11/26,I did hiking on 2013/11/26.,I did hiking on 2013/11/26.\n13178,2013/11/26,I had breakfast with Andrew. I ate peanut-butter-jam.,I had breakfast with Andrew. I ate peanut-butter-jam.\n13179,2013/11/26,\"I had chinese food for lunch with Andrew, Carter, Emily\",\"I had chinese food for lunch with Andrew, Carter, Emily\"\n13180,2013/11/26,\"I had dinner with Avery, Jackson. I ate tacos.\",\"I had dinner with Avery, Jackson. I ate tacos.\"\n13181,2013/11/26,\"I talked to Olivia, Piper for 33 minutes in the morning.\",\"I talked to Olivia, Piper for 33 minutes in the morning.\"\n13182,2013/11/26,\"I talked to Lydia, Nevaeh, Hazel for 26 minutes during lunch hours.\",\"I talked to Lydia, Nevaeh, Hazel for 26 minutes during lunch hours.\"\n13183,2013/11/26,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n13184,2013/11/26,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n13185,2013/11/27,I did biking on 2013/11/27.,I did biking on 2013/11/27.\n13186,2013/11/27,I had toast and cheese for breakfast with Andrew,I had toast and cheese for breakfast with Andrew\n13187,2013/11/27,\"I had lunch with Willow, Avery. I ate steak.\",\"I had lunch with Willow, Avery. I ate steak.\"\n13188,2013/11/27,I ate sushi for dinner.,I ate sushi for dinner.\n13189,2013/11/27,I talked to Eva for 46 minutes late in the evening.,I talked to Eva for 46 minutes late in the evening.\n13190,2013/11/27,\"I spent 33 talking to Kinsley, Piper on various topics in the early afternoon.\",\"I spent 33 talking to Kinsley, Piper on various topics in the early afternoon.\"\n13191,2013/11/27,\"I talked to Nora, Piper, Lydia for 16 minutes late in the evening.\",\"I talked to Nora, Piper, Lydia for 16 minutes late in the evening.\"\n13192,2013/11/27,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n13193,2013/11/27,I spent 33 minutes watching a tv series on TV today.,I spent 33 minutes watching a tv series on TV today.\n13194,2013/11/28,I did hiking on 2013/11/28.,I did hiking on 2013/11/28.\n13195,2013/11/28,\"I had breakfast with Avery, Willow. I ate toast and cheese.\",\"I had breakfast with Avery, Willow. I ate toast and cheese.\"\n13196,2013/11/28,I had a burger for lunch with Willow,I had a burger for lunch with Willow\n13197,2013/11/28,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n13198,2013/11/28,\"I spent 7 talking to Olivia, Kinsley, Lydia on various topics in the morning.\",\"I spent 7 talking to Olivia, Kinsley, Lydia on various topics in the morning.\"\n13199,2013/11/28,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n13200,2013/11/28,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n13201,2013/11/29,I did swimming on 2013/11/29.,I did swimming on 2013/11/29.\n13202,2013/11/29,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n13203,2013/11/29,I had fish and chips for lunch with Benjamin,I had fish and chips for lunch with Benjamin\n13204,2013/11/29,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n13205,2013/11/29,I talked to Nevaeh for 44 minutes late in the evening.,I talked to Nevaeh for 44 minutes late in the evening.\n13206,2013/11/29,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n13207,2013/11/29,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n13208,2013/11/30,\"I went grocery shopping. I bought some mandarins, oranges, pineapple juice, orange juice, soda, sports drinks, and shaving cream, shampoo, conditioner, mouth wash\",\"I went grocery shopping. I bought some mandarins, oranges, pineapple juice, orange juice, soda, sports drinks, and shaving cream, shampoo, conditioner, mouth wash\"\n13209,2013/11/30,I did weight lifting on 2013/11/30.,I did weight lifting on 2013/11/30.\n13210,2013/11/30,\"I had peanut-butter-jam for breakfast with Andrew, Carter\",\"I had peanut-butter-jam for breakfast with Andrew, Carter\"\n13211,2013/11/30,\"I had chinese food for lunch with Nora, Rylee, Eva, Piper, Olivia, Avery, Hazel, Nevaeh, Claire, Lydia\",\"I had chinese food for lunch with Nora, Rylee, Eva, Piper, Olivia, Avery, Hazel, Nevaeh, Claire, Lydia\"\n13212,2013/11/30,I ate a burger for dinner.,I ate a burger for dinner.\n13213,2013/11/30,\"I talked to Eva, Piper, Hazel for 31 minutes in the early afternoon.\",\"I talked to Eva, Piper, Hazel for 31 minutes in the early afternoon.\"\n13214,2013/11/30,I talked to Nora for 34 minutes in the morning.,I talked to Nora for 34 minutes in the morning.\n13215,2013/11/30,\"I talked to Piper, Nora, Lydia, Eva for 24 minutes in the morning.\",\"I talked to Piper, Nora, Lydia, Eva for 24 minutes in the morning.\"\n13216,2013/11/30,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n13217,2013/11/30,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n13218,2013/12/01,I did running on 2013/12/01.,I did running on 2013/12/01.\n13219,2013/12/01,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n13220,2013/12/01,I ate chinese food for lunch.,I ate chinese food for lunch.\n13221,2013/12/01,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n13222,2013/12/01,I spent 15 talking to Piper on various topics during lunch hours.,I spent 15 talking to Piper on various topics during lunch hours.\n13223,2013/12/01,I talked to Rylee for 6 minutes in the late afternoon.,I talked to Rylee for 6 minutes in the late afternoon.\n13224,2013/12/01,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n13225,2013/12/01,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n13226,2013/12/02,I did biking on 2013/12/02.,I did biking on 2013/12/02.\n13227,2013/12/02,I had breakfast with Emily. I ate toast and cheese.,I had breakfast with Emily. I ate toast and cheese.\n13228,2013/12/02,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n13229,2013/12/02,\"I had tacos for dinner with Nevaeh, Avery, Hazel, Rylee, Layla, Piper, Claire\",\"I had tacos for dinner with Nevaeh, Avery, Hazel, Rylee, Layla, Piper, Claire\"\n13230,2013/12/02,I talked to Layla for 39 minutes late in the evening.,I talked to Layla for 39 minutes late in the evening.\n13231,2013/12/02,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n13232,2013/12/02,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n13233,2013/12/03,I did running on 2013/12/03.,I did running on 2013/12/03.\n13234,2013/12/03,\"I had peanut-butter-jam for breakfast with Carter, Emily, Andrew, Kayden\",\"I had peanut-butter-jam for breakfast with Carter, Emily, Andrew, Kayden\"\n13235,2013/12/03,I prepare tacos for lunch.,I prepare tacos for lunch.\n13236,2013/12/03,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n13237,2013/12/03,\"I talked to Olivia, Claire, Piper, Rylee for 31 minutes in the early afternoon.\",\"I talked to Olivia, Claire, Piper, Rylee for 31 minutes in the early afternoon.\"\n13238,2013/12/03,\"I spent 20 talking to Claire, Hazel, Kinsley, Piper on various topics in the early evening.\",\"I spent 20 talking to Claire, Hazel, Kinsley, Piper on various topics in the early evening.\"\n13239,2013/12/03,I talked to Claire for 6 minutes in the early afternoon.,I talked to Claire for 6 minutes in the early afternoon.\n13240,2013/12/03,\"I talked to Nevaeh, Avery, Layla, Eva for 32 minutes in the morning.\",\"I talked to Nevaeh, Avery, Layla, Eva for 32 minutes in the morning.\"\n13241,2013/12/03,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n13242,2013/12/03,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n13243,2013/12/04,\"I bought some strawberries, watermelons, mandarins, guava, pineapple juice, orange juice, apple juice, coffee, toilet paper, toothbrush, conditioner, shampoo from the grocery store. I saw Avery, Jackson, Benjamin, Willow at the grocery store.\",\"I bought some strawberries, watermelons, mandarins, guava, pineapple juice, orange juice, apple juice, coffee, toilet paper, toothbrush, conditioner, shampoo from the grocery store. I saw Avery, Jackson, Benjamin, Willow at the grocery store.\"\n13244,2013/12/04,I did swimming on 2013/12/04.,I did swimming on 2013/12/04.\n13245,2013/12/04,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n13246,2013/12/04,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n13247,2013/12/04,I ate sandwich for dinner.,I ate sandwich for dinner.\n13248,2013/12/04,\"I spent 42 talking to Avery, Kinsley, Lydia on various topics in the early afternoon.\",\"I spent 42 talking to Avery, Kinsley, Lydia on various topics in the early afternoon.\"\n13249,2013/12/04,\"I talked to Nevaeh, Lydia, Claire for 49 minutes in the late afternoon.\",\"I talked to Nevaeh, Lydia, Claire for 49 minutes in the late afternoon.\"\n13250,2013/12/04,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n13251,2013/12/04,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n13252,2013/12/05,I did swimming on 2013/12/05.,I did swimming on 2013/12/05.\n13253,2013/12/05,\"I had breakfast with Kinsley, Eva, Piper, Olivia, Hazel, Nevaeh, Lydia, Rylee, Nora, Piper, Claire, Avery, Layla. I ate peanut-butter-jam.\",\"I had breakfast with Kinsley, Eva, Piper, Olivia, Hazel, Nevaeh, Lydia, Rylee, Nora, Piper, Claire, Avery, Layla. I ate peanut-butter-jam.\"\n13254,2013/12/05,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n13255,2013/12/05,I prepare tacos for dinner.,I prepare tacos for dinner.\n13256,2013/12/05,\"I talked to Eva, Nevaeh, Lydia for 36 minutes in the early evening.\",\"I talked to Eva, Nevaeh, Lydia for 36 minutes in the early evening.\"\n13257,2013/12/05,I spent 24 talking to Piper on various topics in the early evening.,I spent 24 talking to Piper on various topics in the early evening.\n13258,2013/12/05,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n13259,2013/12/05,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n13260,2013/12/06,I did hiking on 2013/12/06.,I did hiking on 2013/12/06.\n13261,2013/12/06,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n13262,2013/12/06,I had sandwich for lunch with Willow,I had sandwich for lunch with Willow\n13263,2013/12/06,I had dinner. I ate steak.,I had dinner. I ate steak.\n13264,2013/12/06,\"I spent 14 talking to Layla, Hazel, Nevaeh, Piper on various topics in the late afternoon.\",\"I spent 14 talking to Layla, Hazel, Nevaeh, Piper on various topics in the late afternoon.\"\n13265,2013/12/06,\"I spent 45 talking to Claire, Rylee, Kinsley on various topics during lunch hours.\",\"I spent 45 talking to Claire, Rylee, Kinsley on various topics during lunch hours.\"\n13266,2013/12/06,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n13267,2013/12/06,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n13268,2013/12/07,\"On 2013/12/07, I took Luke on a date to a park\",\"On 2013/12/07, I took Luke on a date to a park\"\n13269,2013/12/07,\"I had peanut-butter-jam for breakfast with Lydia, Avery, Piper, Claire, Piper, Layla, Eva\",\"I had peanut-butter-jam for breakfast with Lydia, Avery, Piper, Claire, Piper, Layla, Eva\"\n13270,2013/12/07,I ate chinese food for lunch.,I ate chinese food for lunch.\n13271,2013/12/07,\"I had dinner with Rylee, Eva, Nevaeh, Avery, Lydia, Claire, Olivia. I ate steak.\",\"I had dinner with Rylee, Eva, Nevaeh, Avery, Lydia, Claire, Olivia. I ate steak.\"\n13272,2013/12/07,\"I spent 19 talking to Nora, Eva, Piper, Rylee on various topics during lunch hours.\",\"I spent 19 talking to Nora, Eva, Piper, Rylee on various topics during lunch hours.\"\n13273,2013/12/07,\"I talked to Avery, Hazel for 53 minutes in the early afternoon.\",\"I talked to Avery, Hazel for 53 minutes in the early afternoon.\"\n13274,2013/12/07,\"I spent 5 talking to Avery, Kinsley on various topics in the late afternoon.\",\"I spent 5 talking to Avery, Kinsley on various topics in the late afternoon.\"\n13275,2013/12/07,\"I spent 43 talking to Lydia, Nora, Piper on various topics in the early evening.\",\"I spent 43 talking to Lydia, Nora, Piper on various topics in the early evening.\"\n13276,2013/12/07,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n13277,2013/12/07,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n13278,2013/12/08,I did running on 2013/12/08.,I did running on 2013/12/08.\n13279,2013/12/08,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n13280,2013/12/08,\"I had steak for lunch with Willow, Jackson\",\"I had steak for lunch with Willow, Jackson\"\n13281,2013/12/08,I prepare tacos for dinner.,I prepare tacos for dinner.\n13282,2013/12/08,\"I talked to Lydia, Layla for 43 minutes late in the evening.\",\"I talked to Lydia, Layla for 43 minutes late in the evening.\"\n13283,2013/12/08,I spent 37 talking to Claire on various topics in the late afternoon.,I spent 37 talking to Claire on various topics in the late afternoon.\n13284,2013/12/08,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n13285,2013/12/08,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n13286,2013/12/09,I did running on 2013/12/09.,I did running on 2013/12/09.\n13287,2013/12/09,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n13288,2013/12/09,I had lunch with Emily. I ate steak.,I had lunch with Emily. I ate steak.\n13289,2013/12/09,I ate indian food for dinner.,I ate indian food for dinner.\n13290,2013/12/09,\"I spent 23 talking to Layla, Lydia, Avery, Kinsley on various topics late in the evening.\",\"I spent 23 talking to Layla, Lydia, Avery, Kinsley on various topics late in the evening.\"\n13291,2013/12/09,\"I talked to Hazel, Eva, Kinsley, Piper for 38 minutes in the early evening.\",\"I talked to Hazel, Eva, Kinsley, Piper for 38 minutes in the early evening.\"\n13292,2013/12/09,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n13293,2013/12/09,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n13294,2013/12/10,I did swimming on 2013/12/10.,I did swimming on 2013/12/10.\n13295,2013/12/10,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n13296,2013/12/10,\"I had steak for lunch with Carter, Andrew, Emily, Kayden\",\"I had steak for lunch with Carter, Andrew, Emily, Kayden\"\n13297,2013/12/10,\"I had sushi for dinner with Carter, Andrew, Emily\",\"I had sushi for dinner with Carter, Andrew, Emily\"\n13298,2013/12/10,\"I talked to Layla, Nora for 36 minutes in the morning.\",\"I talked to Layla, Nora for 36 minutes in the morning.\"\n13299,2013/12/10,\"I spent 26 talking to Nevaeh, Hazel, Nora on various topics in the early afternoon.\",\"I spent 26 talking to Nevaeh, Hazel, Nora on various topics in the early afternoon.\"\n13300,2013/12/10,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n13301,2013/12/10,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n13302,2013/12/11,\"I went grocery shopping. I bought some raspberries, strawberries, pears, mango juice, sports drinks, guava juice, and toothpaste, conditioner, toilet paper, mouth wash\",\"I went grocery shopping. I bought some raspberries, strawberries, pears, mango juice, sports drinks, guava juice, and toothpaste, conditioner, toilet paper, mouth wash\"\n13303,2013/12/11,I did swimming on 2013/12/11.,I did swimming on 2013/12/11.\n13304,2013/12/11,\"I had peanut-butter-jam for breakfast with Benjamin, Avery, Jackson, Willow\",\"I had peanut-butter-jam for breakfast with Benjamin, Avery, Jackson, Willow\"\n13305,2013/12/11,I ate chinese food for lunch.,I ate chinese food for lunch.\n13306,2013/12/11,I ate indian food for dinner.,I ate indian food for dinner.\n13307,2013/12/11,\"I talked to Lydia, Layla, Olivia, Nevaeh for 41 minutes in the morning.\",\"I talked to Lydia, Layla, Olivia, Nevaeh for 41 minutes in the morning.\"\n13308,2013/12/11,I spent 36 talking to Piper on various topics during lunch hours.,I spent 36 talking to Piper on various topics during lunch hours.\n13309,2013/12/11,\"I talked to Piper, Piper for 20 minutes during lunch hours.\",\"I talked to Piper, Piper for 20 minutes during lunch hours.\"\n13310,2013/12/11,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n13311,2013/12/11,I watched news for 51 minutes on TV today.,I watched news for 51 minutes on TV today.\n13312,2013/12/12,I went on a date with Alon on 2013/12/12 at a boba shop,I went on a date with Alon on 2013/12/12 at a boba shop\n13313,2013/12/12,I did hiking on 2013/12/12.,I did hiking on 2013/12/12.\n13314,2013/12/12,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n13315,2013/12/12,I prepare steak for lunch.,I prepare steak for lunch.\n13316,2013/12/12,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n13317,2013/12/12,I spent 9 talking to Eva on various topics in the late afternoon.,I spent 9 talking to Eva on various topics in the late afternoon.\n13318,2013/12/12,\"I spent 8 talking to Layla, Piper, Nora, Nevaeh on various topics in the morning.\",\"I spent 8 talking to Layla, Piper, Nora, Nevaeh on various topics in the morning.\"\n13319,2013/12/12,I talked to Kinsley for 9 minutes in the early afternoon.,I talked to Kinsley for 9 minutes in the early afternoon.\n13320,2013/12/12,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n13321,2013/12/12,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n13322,2013/12/13,\"I went grocery shopping. I bought some strawberries, oranges, apples, mangos, guava juice, coffee, pineapple juice, and toothpaste, facial wash, toothbrush, body lotion\",\"I went grocery shopping. I bought some strawberries, oranges, apples, mangos, guava juice, coffee, pineapple juice, and toothpaste, facial wash, toothbrush, body lotion\"\n13323,2013/12/13,I did hiking on 2013/12/13.,I did hiking on 2013/12/13.\n13324,2013/12/13,I had breakfast with Andrew. I ate toast and cheese.,I had breakfast with Andrew. I ate toast and cheese.\n13325,2013/12/13,\"I had indian food for lunch with Andrew, Carter, Emily\",\"I had indian food for lunch with Andrew, Carter, Emily\"\n13326,2013/12/13,I ate sushi for dinner.,I ate sushi for dinner.\n13327,2013/12/13,\"I spent 9 talking to Olivia, Piper, Kinsley on various topics during lunch hours.\",\"I spent 9 talking to Olivia, Piper, Kinsley on various topics during lunch hours.\"\n13328,2013/12/13,\"I spent 50 talking to Claire, Piper, Rylee, Layla on various topics in the early evening.\",\"I spent 50 talking to Claire, Piper, Rylee, Layla on various topics in the early evening.\"\n13329,2013/12/13,\"I talked to Layla, Kinsley, Olivia for 30 minutes in the early afternoon.\",\"I talked to Layla, Kinsley, Olivia for 30 minutes in the early afternoon.\"\n13330,2013/12/13,\"I talked to Piper, Kinsley, Hazel, Olivia for 47 minutes during lunch hours.\",\"I talked to Piper, Kinsley, Hazel, Olivia for 47 minutes during lunch hours.\"\n13331,2013/12/13,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n13332,2013/12/13,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n13333,2013/12/14,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n13334,2013/12/14,\"I had lunch with Hazel, Nora, Piper, Kinsley, Layla, Claire, Rylee, Lydia, Eva, Nevaeh, Avery, Piper. I ate tacos.\",\"I had lunch with Hazel, Nora, Piper, Kinsley, Layla, Claire, Rylee, Lydia, Eva, Nevaeh, Avery, Piper. I ate tacos.\"\n13335,2013/12/14,\"I had dinner with Emily, Carter. I ate pasta.\",\"I had dinner with Emily, Carter. I ate pasta.\"\n13336,2013/12/14,\"I spent 47 talking to Layla, Lydia on various topics late in the evening.\",\"I spent 47 talking to Layla, Lydia on various topics late in the evening.\"\n13337,2013/12/14,\"I talked to Avery, Nora for 17 minutes in the early evening.\",\"I talked to Avery, Nora for 17 minutes in the early evening.\"\n13338,2013/12/14,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n13339,2013/12/14,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n13340,2013/12/15,I went on a date with Caleb on 2013/12/15 at a coffee Shop,I went on a date with Caleb on 2013/12/15 at a coffee Shop\n13341,2013/12/15,I did weight lifting on 2013/12/15.,I did weight lifting on 2013/12/15.\n13342,2013/12/15,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n13343,2013/12/15,I prepare pasta for lunch.,I prepare pasta for lunch.\n13344,2013/12/15,\"I had sushi for dinner with Hazel, Rylee, Nora, Claire, Lydia, Eva, Piper, Layla, Olivia, Nevaeh, Kinsley, Piper, Avery\",\"I had sushi for dinner with Hazel, Rylee, Nora, Claire, Lydia, Eva, Piper, Layla, Olivia, Nevaeh, Kinsley, Piper, Avery\"\n13345,2013/12/15,\"I spent 30 talking to Olivia, Kinsley, Rylee, Eva on various topics in the morning.\",\"I spent 30 talking to Olivia, Kinsley, Rylee, Eva on various topics in the morning.\"\n13346,2013/12/15,\"I talked to Layla, Nora, Hazel, Piper for 8 minutes in the early afternoon.\",\"I talked to Layla, Nora, Hazel, Piper for 8 minutes in the early afternoon.\"\n13347,2013/12/15,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n13348,2013/12/15,I spent 47 minutes watching a movie on TV today.,I spent 47 minutes watching a movie on TV today.\n13349,2013/12/16,I did weight lifting on 2013/12/16.,I did weight lifting on 2013/12/16.\n13350,2013/12/16,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n13351,2013/12/16,I prepare pasta for lunch.,I prepare pasta for lunch.\n13352,2013/12/16,\"I had dinner with Carter, Emily. I ate indian food.\",\"I had dinner with Carter, Emily. I ate indian food.\"\n13353,2013/12/16,I spent 55 talking to Eva on various topics during lunch hours.,I spent 55 talking to Eva on various topics during lunch hours.\n13354,2013/12/16,\"I talked to Eva, Nevaeh, Rylee, Kinsley for 21 minutes in the early afternoon.\",\"I talked to Eva, Nevaeh, Rylee, Kinsley for 21 minutes in the early afternoon.\"\n13355,2013/12/16,I talked to Rylee for 22 minutes late in the evening.,I talked to Rylee for 22 minutes late in the evening.\n13356,2013/12/16,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n13357,2013/12/16,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n13358,2013/12/17,\"I went grocery shopping with Carter. I bought some clementines, apple juice, mineral water, chocolate milk, and toothpaste, shaving cream, facial wash, body lotion\",\"I went grocery shopping with Carter. I bought some clementines, apple juice, mineral water, chocolate milk, and toothpaste, shaving cream, facial wash, body lotion\"\n13359,2013/12/17,I did swimming on 2013/12/17.,I did swimming on 2013/12/17.\n13360,2013/12/17,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n13361,2013/12/17,I had lunch with Carter. I ate a burger.,I had lunch with Carter. I ate a burger.\n13362,2013/12/17,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n13363,2013/12/17,\"I talked to Eva, Piper for 26 minutes in the late afternoon.\",\"I talked to Eva, Piper for 26 minutes in the late afternoon.\"\n13364,2013/12/17,\"I spent 44 talking to Nevaeh, Avery, Piper, Kinsley on various topics in the morning.\",\"I spent 44 talking to Nevaeh, Avery, Piper, Kinsley on various topics in the morning.\"\n13365,2013/12/17,\"I talked to Olivia, Piper for 43 minutes in the early afternoon.\",\"I talked to Olivia, Piper for 43 minutes in the early afternoon.\"\n13366,2013/12/17,\"I talked to Layla, Nevaeh for 16 minutes during lunch hours.\",\"I talked to Layla, Nevaeh for 16 minutes during lunch hours.\"\n13367,2013/12/17,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n13368,2013/12/17,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n13369,2013/12/18,I did HIIT on 2013/12/18.,I did HIIT on 2013/12/18.\n13370,2013/12/18,\"I had oatmeal for breakfast with Jackson, Willow, Avery\",\"I had oatmeal for breakfast with Jackson, Willow, Avery\"\n13371,2013/12/18,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n13372,2013/12/18,I ate chinese food for dinner.,I ate chinese food for dinner.\n13373,2013/12/18,\"I spent 34 talking to Hazel, Layla, Olivia on various topics in the early evening.\",\"I spent 34 talking to Hazel, Layla, Olivia on various topics in the early evening.\"\n13374,2013/12/18,I talked to Eva for 30 minutes during lunch hours.,I talked to Eva for 30 minutes during lunch hours.\n13375,2013/12/18,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n13376,2013/12/18,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n13377,2013/12/19,I did running on 2013/12/19.,I did running on 2013/12/19.\n13378,2013/12/19,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n13379,2013/12/19,\"I had lunch with Avery, Piper, Nevaeh, Nora. I ate chinese food.\",\"I had lunch with Avery, Piper, Nevaeh, Nora. I ate chinese food.\"\n13380,2013/12/19,\"I had pasta for dinner with Andrew, Kayden, Carter, Emily\",\"I had pasta for dinner with Andrew, Kayden, Carter, Emily\"\n13381,2013/12/19,\"I talked to Nora, Lydia, Claire for 27 minutes during lunch hours.\",\"I talked to Nora, Lydia, Claire for 27 minutes during lunch hours.\"\n13382,2013/12/19,\"I talked to Avery, Eva, Piper for 33 minutes in the late afternoon.\",\"I talked to Avery, Eva, Piper for 33 minutes in the late afternoon.\"\n13383,2013/12/19,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n13384,2013/12/19,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n13385,2013/12/20,I did swimming on 2013/12/20.,I did swimming on 2013/12/20.\n13386,2013/12/20,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n13387,2013/12/20,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n13388,2013/12/20,I prepare indian food for dinner.,I prepare indian food for dinner.\n13389,2013/12/20,I spent 46 talking to Nora on various topics during lunch hours.,I spent 46 talking to Nora on various topics during lunch hours.\n13390,2013/12/20,\"I spent 8 talking to Layla, Kinsley, Avery, Piper on various topics in the late afternoon.\",\"I spent 8 talking to Layla, Kinsley, Avery, Piper on various topics in the late afternoon.\"\n13391,2013/12/20,\"I talked to Olivia, Nora for 38 minutes late in the evening.\",\"I talked to Olivia, Nora for 38 minutes late in the evening.\"\n13392,2013/12/20,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n13393,2013/12/20,I watched a tv series for 14 minutes on TV today.,I watched a tv series for 14 minutes on TV today.\n13394,2013/12/21,\"I went grocery shopping. I bought some guava, apples, bananas, milk, guava juice, mineral water, and shampoo, toothpaste, mouthwash\",\"I went grocery shopping. I bought some guava, apples, bananas, milk, guava juice, mineral water, and shampoo, toothpaste, mouthwash\"\n13395,2013/12/21,\"I had breakfast with Piper, Eva, Lydia, Layla, Hazel, Avery, Nevaeh, Nora, Claire, Olivia, Rylee, Kinsley, Piper. I ate toast and cheese.\",\"I had breakfast with Piper, Eva, Lydia, Layla, Hazel, Avery, Nevaeh, Nora, Claire, Olivia, Rylee, Kinsley, Piper. I ate toast and cheese.\"\n13396,2013/12/21,\"I had steak for lunch with Andrew, Kayden, Carter\",\"I had steak for lunch with Andrew, Kayden, Carter\"\n13397,2013/12/21,I prepare a burger for dinner.,I prepare a burger for dinner.\n13398,2013/12/21,\"I spent 37 talking to Rylee, Hazel, Lydia, Eva on various topics late in the evening.\",\"I spent 37 talking to Rylee, Hazel, Lydia, Eva on various topics late in the evening.\"\n13399,2013/12/21,\"I talked to Kinsley, Avery, Hazel for 19 minutes in the early afternoon.\",\"I talked to Kinsley, Avery, Hazel for 19 minutes in the early afternoon.\"\n13400,2013/12/21,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n13401,2013/12/21,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n13402,2013/12/22,I did hiking on 2013/12/22.,I did hiking on 2013/12/22.\n13403,2013/12/22,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n13404,2013/12/22,I ate chinese food for lunch.,I ate chinese food for lunch.\n13405,2013/12/22,\"I had dinner with Emily, Andrew. I ate sushi.\",\"I had dinner with Emily, Andrew. I ate sushi.\"\n13406,2013/12/22,I talked to Nevaeh for 29 minutes late in the evening.,I talked to Nevaeh for 29 minutes late in the evening.\n13407,2013/12/22,\"I spent 38 talking to Nevaeh, Hazel on various topics in the morning.\",\"I spent 38 talking to Nevaeh, Hazel on various topics in the morning.\"\n13408,2013/12/22,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n13409,2013/12/22,I watched a tv series for 51 minutes on TV today.,I watched a tv series for 51 minutes on TV today.\n13410,2013/12/23,I went on a date with Cameron on 2013/12/23 at a boba shop,I went on a date with Cameron on 2013/12/23 at a boba shop\n13411,2013/12/23,I did running on 2013/12/23.,I did running on 2013/12/23.\n13412,2013/12/23,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n13413,2013/12/23,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n13414,2013/12/23,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n13415,2013/12/23,\"I spent 20 talking to Layla, Piper, Eva on various topics in the morning.\",\"I spent 20 talking to Layla, Piper, Eva on various topics in the morning.\"\n13416,2013/12/23,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n13417,2013/12/23,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n13418,2013/12/24,\"I went grocery shopping with Jackson. I bought some pineapples, clementines, pineapple juice, coffee, and toothpaste, shaving cream, facial wash\",\"I went grocery shopping with Jackson. I bought some pineapples, clementines, pineapple juice, coffee, and toothpaste, shaving cream, facial wash\"\n13419,2013/12/24,I did hiking on 2013/12/24.,I did hiking on 2013/12/24.\n13420,2013/12/24,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n13421,2013/12/24,I prepare sushi for lunch.,I prepare sushi for lunch.\n13422,2013/12/24,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n13423,2013/12/24,\"I spent 46 talking to Avery, Nora, Claire on various topics in the early evening.\",\"I spent 46 talking to Avery, Nora, Claire on various topics in the early evening.\"\n13424,2013/12/24,\"I talked to Lydia, Nevaeh, Avery for 32 minutes during lunch hours.\",\"I talked to Lydia, Nevaeh, Avery for 32 minutes during lunch hours.\"\n13425,2013/12/24,\"I talked to Eva, Avery, Hazel, Claire for 24 minutes in the early evening.\",\"I talked to Eva, Avery, Hazel, Claire for 24 minutes in the early evening.\"\n13426,2013/12/24,\"I talked to Hazel, Lydia for 52 minutes in the morning.\",\"I talked to Hazel, Lydia for 52 minutes in the morning.\"\n13427,2013/12/24,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n13428,2013/12/24,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n13429,2013/12/25,I did running on 2013/12/25.,I did running on 2013/12/25.\n13430,2013/12/25,\"I had breakfast with Carter, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Andrew. I ate peanut-butter-jam.\"\n13431,2013/12/25,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n13432,2013/12/25,\"I had indian food for dinner with Kayden, Andrew, Emily, Carter\",\"I had indian food for dinner with Kayden, Andrew, Emily, Carter\"\n13433,2013/12/25,\"I spent 19 talking to Avery, Rylee on various topics during lunch hours.\",\"I spent 19 talking to Avery, Rylee on various topics during lunch hours.\"\n13434,2013/12/25,\"I spent 29 talking to Kinsley, Hazel, Nevaeh, Piper on various topics during lunch hours.\",\"I spent 29 talking to Kinsley, Hazel, Nevaeh, Piper on various topics during lunch hours.\"\n13435,2013/12/25,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n13436,2013/12/25,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n13437,2013/12/26,I went on a date with Mike on 2013/12/26 at a restaurant,I went on a date with Mike on 2013/12/26 at a restaurant\n13438,2013/12/26,I spent time gardening on 2013/12/26 with Carter.,I spent time gardening on 2013/12/26 with Carter.\n13439,2013/12/26,I did swimming on 2013/12/26.,I did swimming on 2013/12/26.\n13440,2013/12/26,\"I had cereals for breakfast with Andrew, Emily, Carter\",\"I had cereals for breakfast with Andrew, Emily, Carter\"\n13441,2013/12/26,\"I had lunch with Olivia, Avery, Kinsley, Nora, Lydia, Piper. I ate fish and chips.\",\"I had lunch with Olivia, Avery, Kinsley, Nora, Lydia, Piper. I ate fish and chips.\"\n13442,2013/12/26,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n13443,2013/12/26,\"I spent 49 talking to Piper, Eva on various topics in the late afternoon.\",\"I spent 49 talking to Piper, Eva on various topics in the late afternoon.\"\n13444,2013/12/26,\"I talked to Avery, Nevaeh for 49 minutes in the early evening.\",\"I talked to Avery, Nevaeh for 49 minutes in the early evening.\"\n13445,2013/12/26,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n13446,2013/12/26,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n13447,2013/12/27,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n13448,2013/12/27,\"I had a burger for lunch with Carter, Andrew, Emily\",\"I had a burger for lunch with Carter, Andrew, Emily\"\n13449,2013/12/27,I prepare steak for dinner.,I prepare steak for dinner.\n13450,2013/12/27,\"I talked to Rylee, Kinsley, Olivia, Claire for 52 minutes in the late afternoon.\",\"I talked to Rylee, Kinsley, Olivia, Claire for 52 minutes in the late afternoon.\"\n13451,2013/12/27,\"I talked to Lydia, Eva, Piper for 47 minutes during lunch hours.\",\"I talked to Lydia, Eva, Piper for 47 minutes during lunch hours.\"\n13452,2013/12/27,I spent 19 talking to Nora on various topics in the early afternoon.,I spent 19 talking to Nora on various topics in the early afternoon.\n13453,2013/12/27,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n13454,2013/12/27,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n13455,2013/12/28,I did weight lifting on 2013/12/28.,I did weight lifting on 2013/12/28.\n13456,2013/12/28,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n13457,2013/12/28,I ate indian food for lunch.,I ate indian food for lunch.\n13458,2013/12/28,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n13459,2013/12/28,I spent 48 talking to Piper on various topics in the early afternoon.,I spent 48 talking to Piper on various topics in the early afternoon.\n13460,2013/12/28,I spent 50 talking to Olivia on various topics in the late afternoon.,I spent 50 talking to Olivia on various topics in the late afternoon.\n13461,2013/12/28,\"I spent 39 talking to Olivia, Hazel, Nora on various topics in the early evening.\",\"I spent 39 talking to Olivia, Hazel, Nora on various topics in the early evening.\"\n13462,2013/12/28,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n13463,2013/12/28,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n13464,2013/12/29,\"I bought some strawberries, apricots, pineapple juice, orange juice, paper towel, conditioner, body lotion, facial wash online.\",\"I bought some strawberries, apricots, pineapple juice, orange juice, paper towel, conditioner, body lotion, facial wash online.\"\n13465,2013/12/29,I did biking on 2013/12/29.,I did biking on 2013/12/29.\n13466,2013/12/29,\"I had pancakes for breakfast with Andrew, Carter, Emily, Kayden\",\"I had pancakes for breakfast with Andrew, Carter, Emily, Kayden\"\n13467,2013/12/29,\"I had sandwich for lunch with Hazel, Kinsley, Eva, Layla, Lydia, Nevaeh, Avery, Claire, Piper\",\"I had sandwich for lunch with Hazel, Kinsley, Eva, Layla, Lydia, Nevaeh, Avery, Claire, Piper\"\n13468,2013/12/29,I had dinner. I ate steak.,I had dinner. I ate steak.\n13469,2013/12/29,I spent 54 talking to Piper on various topics in the early afternoon.,I spent 54 talking to Piper on various topics in the early afternoon.\n13470,2013/12/29,\"I spent 43 talking to Olivia, Nora on various topics in the early afternoon.\",\"I spent 43 talking to Olivia, Nora on various topics in the early afternoon.\"\n13471,2013/12/29,\"I spent 14 talking to Nevaeh, Layla, Lydia on various topics in the early evening.\",\"I spent 14 talking to Nevaeh, Layla, Lydia on various topics in the early evening.\"\n13472,2013/12/29,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n13473,2013/12/29,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n13474,2013/12/30,I did HIIT on 2013/12/30.,I did HIIT on 2013/12/30.\n13475,2013/12/30,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n13476,2013/12/30,I had fish and chips for lunch with Avery,I had fish and chips for lunch with Avery\n13477,2013/12/30,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n13478,2013/12/30,\"I talked to Claire, Layla for 52 minutes in the morning.\",\"I talked to Claire, Layla for 52 minutes in the morning.\"\n13479,2013/12/30,\"I spent 46 talking to Lydia, Kinsley, Avery on various topics in the late afternoon.\",\"I spent 46 talking to Lydia, Kinsley, Avery on various topics in the late afternoon.\"\n13480,2013/12/30,I talked to Kinsley for 33 minutes in the early evening.,I talked to Kinsley for 33 minutes in the early evening.\n13481,2013/12/30,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n13482,2013/12/30,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n13483,2013/12/31,\"I went grocery shopping with Hazel. I bought some peaches, pears, guava, milk, orange juice, and toothpaste\",\"I went grocery shopping with Hazel. I bought some peaches, pears, guava, milk, orange juice, and toothpaste\"\n13484,2013/12/31,I did swimming on 2013/12/31.,I did swimming on 2013/12/31.\n13485,2013/12/31,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n13486,2013/12/31,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n13487,2013/12/31,\"I had dinner with Kayden, Andrew. I ate indian food.\",\"I had dinner with Kayden, Andrew. I ate indian food.\"\n13488,2013/12/31,I talked to Nora for 35 minutes in the early evening.,I talked to Nora for 35 minutes in the early evening.\n13489,2013/12/31,\"I spent 8 talking to Hazel, Rylee, Piper on various topics in the late afternoon.\",\"I spent 8 talking to Hazel, Rylee, Piper on various topics in the late afternoon.\"\n13490,2013/12/31,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n13491,2013/12/31,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n13492,2014/01/01,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n13493,2014/01/01,\"I entertained Hazel, Layla at my place on 2014/01/01 and bake easy cherry skillet cake\",\"I entertained Hazel, Layla at my place on 2014/01/01 and bake easy cherry skillet cake\"\n13494,2014/01/01,I did swimming on 2014/01/01.,I did swimming on 2014/01/01.\n13495,2014/01/01,\"I had eggs, sausages, and bread for breakfast with Andrew, Emily, Carter\",\"I had eggs, sausages, and bread for breakfast with Andrew, Emily, Carter\"\n13496,2014/01/01,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n13497,2014/01/01,I prepare tacos for dinner.,I prepare tacos for dinner.\n13498,2014/01/01,I spent 45 talking to Nora on various topics during lunch hours.,I spent 45 talking to Nora on various topics during lunch hours.\n13499,2014/01/01,\"I spent 50 talking to Kinsley, Nevaeh, Avery, Claire on various topics in the early evening.\",\"I spent 50 talking to Kinsley, Nevaeh, Avery, Claire on various topics in the early evening.\"\n13500,2014/01/01,\"I talked to Nevaeh, Avery for 12 minutes in the early afternoon.\",\"I talked to Nevaeh, Avery for 12 minutes in the early afternoon.\"\n13501,2014/01/01,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n13502,2014/01/02,I did HIIT on 2014/01/02.,I did HIIT on 2014/01/02.\n13503,2014/01/02,\"I had breakfast with Piper, Nevaeh, Piper. I ate peanut-butter-jam.\",\"I had breakfast with Piper, Nevaeh, Piper. I ate peanut-butter-jam.\"\n13504,2014/01/02,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n13505,2014/01/02,I ate chinese food for dinner.,I ate chinese food for dinner.\n13506,2014/01/02,\"I spent 53 talking to Claire, Avery, Layla on various topics in the early afternoon.\",\"I spent 53 talking to Claire, Avery, Layla on various topics in the early afternoon.\"\n13507,2014/01/02,\"I talked to Layla, Claire for 30 minutes in the early afternoon.\",\"I talked to Layla, Claire for 30 minutes in the early afternoon.\"\n13508,2014/01/02,\"I spent 55 talking to Piper, Eva, Layla on various topics in the morning.\",\"I spent 55 talking to Piper, Eva, Layla on various topics in the morning.\"\n13509,2014/01/02,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n13510,2014/01/02,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n13511,2014/01/03,\"On 2014/01/03, I took Leilani on a date to a boba shop\",\"On 2014/01/03, I took Leilani on a date to a boba shop\"\n13512,2014/01/03,I did biking on 2014/01/03.,I did biking on 2014/01/03.\n13513,2014/01/03,I had cereals for breakfast with Piper,I had cereals for breakfast with Piper\n13514,2014/01/03,I prepare pasta for lunch.,I prepare pasta for lunch.\n13515,2014/01/03,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n13516,2014/01/03,\"I talked to Nora, Eva, Kinsley, Layla for 46 minutes in the early afternoon.\",\"I talked to Nora, Eva, Kinsley, Layla for 46 minutes in the early afternoon.\"\n13517,2014/01/03,\"I spent 7 talking to Layla, Piper on various topics late in the evening.\",\"I spent 7 talking to Layla, Piper on various topics late in the evening.\"\n13518,2014/01/03,I spent 29 talking to Olivia on various topics during lunch hours.,I spent 29 talking to Olivia on various topics during lunch hours.\n13519,2014/01/03,\"I talked to Nevaeh, Piper for 14 minutes in the morning.\",\"I talked to Nevaeh, Piper for 14 minutes in the morning.\"\n13520,2014/01/03,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n13521,2014/01/03,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n13522,2014/01/04,I did hiking on 2014/01/04.,I did hiking on 2014/01/04.\n13523,2014/01/04,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n13524,2014/01/04,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n13525,2014/01/04,\"I had dinner with Carter, Andrew, Kayden, Emily. I ate steak.\",\"I had dinner with Carter, Andrew, Kayden, Emily. I ate steak.\"\n13526,2014/01/04,\"I talked to Nevaeh, Claire for 32 minutes during lunch hours.\",\"I talked to Nevaeh, Claire for 32 minutes during lunch hours.\"\n13527,2014/01/04,\"I talked to Lydia, Nevaeh, Piper for 49 minutes in the early afternoon.\",\"I talked to Lydia, Nevaeh, Piper for 49 minutes in the early afternoon.\"\n13528,2014/01/04,I spent 46 talking to Nevaeh on various topics in the early afternoon.,I spent 46 talking to Nevaeh on various topics in the early afternoon.\n13529,2014/01/04,\"I talked to Rylee, Hazel for 41 minutes in the early evening.\",\"I talked to Rylee, Hazel for 41 minutes in the early evening.\"\n13530,2014/01/04,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n13531,2014/01/04,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n13532,2014/01/05,\"I bought some guava, raspberries, apple juice, tea, pineapple juice, body lotion, conditioner from the grocery store. I saw Kayden, Emily at the grocery store.\",\"I bought some guava, raspberries, apple juice, tea, pineapple juice, body lotion, conditioner from the grocery store. I saw Kayden, Emily at the grocery store.\"\n13533,2014/01/05,I did HIIT on 2014/01/05.,I did HIIT on 2014/01/05.\n13534,2014/01/05,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n13535,2014/01/05,\"I had tacos for lunch with Claire, Eva, Rylee, Lydia\",\"I had tacos for lunch with Claire, Eva, Rylee, Lydia\"\n13536,2014/01/05,I had a burger for dinner with Willow,I had a burger for dinner with Willow\n13537,2014/01/05,I spent 51 talking to Nora on various topics in the early afternoon.,I spent 51 talking to Nora on various topics in the early afternoon.\n13538,2014/01/05,\"I talked to Rylee, Hazel for 38 minutes in the late afternoon.\",\"I talked to Rylee, Hazel for 38 minutes in the late afternoon.\"\n13539,2014/01/05,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n13540,2014/01/05,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n13541,2014/01/06,I went on a date with Sarah on 2014/01/06 at a boba shop,I went on a date with Sarah on 2014/01/06 at a boba shop\n13542,2014/01/06,I really enjoyed working out on 2014/01/06,I really enjoyed working out on 2014/01/06\n13543,2014/01/06,I did running on 2014/01/06.,I did running on 2014/01/06.\n13544,2014/01/06,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n13545,2014/01/06,\"I had lunch with Benjamin, Avery, Jackson. I ate fish and chips.\",\"I had lunch with Benjamin, Avery, Jackson. I ate fish and chips.\"\n13546,2014/01/06,\"I had dinner with Kayden, Andrew, Carter, Emily. I ate pasta.\",\"I had dinner with Kayden, Andrew, Carter, Emily. I ate pasta.\"\n13547,2014/01/06,\"I spent 34 talking to Eva, Lydia, Avery on various topics in the late afternoon.\",\"I spent 34 talking to Eva, Lydia, Avery on various topics in the late afternoon.\"\n13548,2014/01/06,\"I spent 11 talking to Avery, Nora, Nevaeh, Layla on various topics in the early evening.\",\"I spent 11 talking to Avery, Nora, Nevaeh, Layla on various topics in the early evening.\"\n13549,2014/01/06,\"I talked to Claire, Piper, Avery, Lydia for 53 minutes in the early afternoon.\",\"I talked to Claire, Piper, Avery, Lydia for 53 minutes in the early afternoon.\"\n13550,2014/01/06,\"I spent 43 talking to Layla, Avery, Olivia on various topics in the early afternoon.\",\"I spent 43 talking to Layla, Avery, Olivia on various topics in the early afternoon.\"\n13551,2014/01/06,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n13552,2014/01/06,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n13553,2014/01/07,\"I was cooking salmon chowder, poke, air-fryer brats on 2014/01/07 with Benjamin at my place\",\"I was cooking salmon chowder, poke, air-fryer brats on 2014/01/07 with Benjamin at my place\"\n13554,2014/01/07,I did hiking on 2014/01/07.,I did hiking on 2014/01/07.\n13555,2014/01/07,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n13556,2014/01/07,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n13557,2014/01/07,\"I had dinner with Kayden, Carter. I ate sushi.\",\"I had dinner with Kayden, Carter. I ate sushi.\"\n13558,2014/01/07,\"I spent 17 talking to Claire, Nora on various topics late in the evening.\",\"I spent 17 talking to Claire, Nora on various topics late in the evening.\"\n13559,2014/01/07,\"I spent 32 talking to Rylee, Claire on various topics in the late afternoon.\",\"I spent 32 talking to Rylee, Claire on various topics in the late afternoon.\"\n13560,2014/01/07,\"I talked to Lydia, Hazel for 23 minutes in the late afternoon.\",\"I talked to Lydia, Hazel for 23 minutes in the late afternoon.\"\n13561,2014/01/07,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n13562,2014/01/07,I watched a movie for 54 minutes on TV today.,I watched a movie for 54 minutes on TV today.\n13563,2014/01/08,I did HIIT on 2014/01/08.,I did HIIT on 2014/01/08.\n13564,2014/01/08,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n13565,2014/01/08,\"I had lunch with Andrew, Kayden. I ate fish and chips.\",\"I had lunch with Andrew, Kayden. I ate fish and chips.\"\n13566,2014/01/08,I had dinner with Andrew. I ate pasta.,I had dinner with Andrew. I ate pasta.\n13567,2014/01/08,\"I spent 27 talking to Piper, Layla on various topics late in the evening.\",\"I spent 27 talking to Piper, Layla on various topics late in the evening.\"\n13568,2014/01/08,\"I spent 16 talking to Piper, Layla, Avery, Eva on various topics in the early evening.\",\"I spent 16 talking to Piper, Layla, Avery, Eva on various topics in the early evening.\"\n13569,2014/01/08,I talked to Eva for 51 minutes during lunch hours.,I talked to Eva for 51 minutes during lunch hours.\n13570,2014/01/08,\"I talked to Olivia, Eva, Layla for 32 minutes in the morning.\",\"I talked to Olivia, Eva, Layla for 32 minutes in the morning.\"\n13571,2014/01/08,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n13572,2014/01/08,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n13573,2014/01/09,I did weight lifting on 2014/01/09.,I did weight lifting on 2014/01/09.\n13574,2014/01/09,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n13575,2014/01/09,\"I had indian food for lunch with Andrew, Carter\",\"I had indian food for lunch with Andrew, Carter\"\n13576,2014/01/09,I ate indian food for dinner.,I ate indian food for dinner.\n13577,2014/01/09,\"I spent 53 talking to Claire, Avery, Olivia, Layla on various topics in the early afternoon.\",\"I spent 53 talking to Claire, Avery, Olivia, Layla on various topics in the early afternoon.\"\n13578,2014/01/09,\"I talked to Piper, Olivia, Claire, Eva for 6 minutes in the late afternoon.\",\"I talked to Piper, Olivia, Claire, Eva for 6 minutes in the late afternoon.\"\n13579,2014/01/09,\"I talked to Layla, Nevaeh, Hazel for 53 minutes in the morning.\",\"I talked to Layla, Nevaeh, Hazel for 53 minutes in the morning.\"\n13580,2014/01/09,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n13581,2014/01/09,I spent 36 minutes watching a documentary on TV today.,I spent 36 minutes watching a documentary on TV today.\n13582,2014/01/10,\"I spent time working out on 2014/01/10 with Carter, Andrew, Kayden.\",\"I spent time working out on 2014/01/10 with Carter, Andrew, Kayden.\"\n13583,2014/01/10,I did swimming on 2014/01/10.,I did swimming on 2014/01/10.\n13584,2014/01/10,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n13585,2014/01/10,\"I had tacos for lunch with Rylee, Avery, Layla, Claire, Piper, Hazel, Eva, Olivia, Kinsley\",\"I had tacos for lunch with Rylee, Avery, Layla, Claire, Piper, Hazel, Eva, Olivia, Kinsley\"\n13586,2014/01/10,I prepare tacos for dinner.,I prepare tacos for dinner.\n13587,2014/01/10,I talked to Eva for 54 minutes in the early afternoon.,I talked to Eva for 54 minutes in the early afternoon.\n13588,2014/01/10,\"I spent 6 talking to Avery, Claire on various topics in the late afternoon.\",\"I spent 6 talking to Avery, Claire on various topics in the late afternoon.\"\n13589,2014/01/10,I spent 23 talking to Olivia on various topics during lunch hours.,I spent 23 talking to Olivia on various topics during lunch hours.\n13590,2014/01/10,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n13591,2014/01/10,I watched news for 13 minutes on TV today.,I watched news for 13 minutes on TV today.\n13592,2014/01/11,I really enjoyed meditation on 2014/01/11,I really enjoyed meditation on 2014/01/11\n13593,2014/01/11,I did hiking on 2014/01/11.,I did hiking on 2014/01/11.\n13594,2014/01/11,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n13595,2014/01/11,\"I had pasta for lunch with Emily, Andrew\",\"I had pasta for lunch with Emily, Andrew\"\n13596,2014/01/11,I prepare pasta for dinner.,I prepare pasta for dinner.\n13597,2014/01/11,\"I talked to Piper, Layla, Rylee, Avery for 38 minutes in the morning.\",\"I talked to Piper, Layla, Rylee, Avery for 38 minutes in the morning.\"\n13598,2014/01/11,\"I spent 29 talking to Nora, Piper, Avery, Layla on various topics in the early afternoon.\",\"I spent 29 talking to Nora, Piper, Avery, Layla on various topics in the early afternoon.\"\n13599,2014/01/11,I talked to Piper for 21 minutes during lunch hours.,I talked to Piper for 21 minutes during lunch hours.\n13600,2014/01/11,\"I spent 21 talking to Hazel, Olivia on various topics in the late afternoon.\",\"I spent 21 talking to Hazel, Olivia on various topics in the late afternoon.\"\n13601,2014/01/11,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n13602,2014/01/11,I spent 24 minutes watching news on TV today.,I spent 24 minutes watching news on TV today.\n13603,2014/01/12,\"I went grocery shopping. I bought some oranges, apples, chocolate milk, coffee, mineral water, orange juice, and toothbrush, toothpaste, shaving cream, mouthwash\",\"I went grocery shopping. I bought some oranges, apples, chocolate milk, coffee, mineral water, orange juice, and toothbrush, toothpaste, shaving cream, mouthwash\"\n13604,2014/01/12,I did biking on 2014/01/12.,I did biking on 2014/01/12.\n13605,2014/01/12,\"I had breakfast with Kayden, Carter. I ate oatmeal.\",\"I had breakfast with Kayden, Carter. I ate oatmeal.\"\n13606,2014/01/12,I had tacos for lunch with Andrew,I had tacos for lunch with Andrew\n13607,2014/01/12,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n13608,2014/01/12,\"I talked to Claire, Nevaeh for 30 minutes in the late afternoon.\",\"I talked to Claire, Nevaeh for 30 minutes in the late afternoon.\"\n13609,2014/01/12,I spent 18 talking to Piper on various topics in the morning.,I spent 18 talking to Piper on various topics in the morning.\n13610,2014/01/12,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n13611,2014/01/12,I watched a documentary for 49 minutes on TV today.,I watched a documentary for 49 minutes on TV today.\n13612,2014/01/13,I did biking on 2014/01/13.,I did biking on 2014/01/13.\n13613,2014/01/13,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n13614,2014/01/13,I prepare tacos for lunch.,I prepare tacos for lunch.\n13615,2014/01/13,I had dinner with Jackson. I ate chinese food.,I had dinner with Jackson. I ate chinese food.\n13616,2014/01/13,I talked to Piper for 37 minutes in the early afternoon.,I talked to Piper for 37 minutes in the early afternoon.\n13617,2014/01/13,\"I talked to Avery, Eva, Nevaeh for 16 minutes in the early afternoon.\",\"I talked to Avery, Eva, Nevaeh for 16 minutes in the early afternoon.\"\n13618,2014/01/13,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n13619,2014/01/13,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n13620,2014/01/14,\"On 2014/01/14, I took Jaxon on a date to a boba shop\",\"On 2014/01/14, I took Jaxon on a date to a boba shop\"\n13621,2014/01/14,I did HIIT on 2014/01/14.,I did HIIT on 2014/01/14.\n13622,2014/01/14,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n13623,2014/01/14,I prepare sushi for lunch.,I prepare sushi for lunch.\n13624,2014/01/14,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n13625,2014/01/14,\"I talked to Piper, Eva, Piper for 36 minutes in the early evening.\",\"I talked to Piper, Eva, Piper for 36 minutes in the early evening.\"\n13626,2014/01/14,\"I spent 24 talking to Kinsley, Lydia, Nevaeh, Claire on various topics in the early evening.\",\"I spent 24 talking to Kinsley, Lydia, Nevaeh, Claire on various topics in the early evening.\"\n13627,2014/01/14,I talked to Eva for 23 minutes in the early afternoon.,I talked to Eva for 23 minutes in the early afternoon.\n13628,2014/01/14,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n13629,2014/01/14,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n13630,2014/01/15,I did swimming on 2014/01/15.,I did swimming on 2014/01/15.\n13631,2014/01/15,\"I had breakfast with Willow, Avery, Benjamin, Jackson. I ate oatmeal.\",\"I had breakfast with Willow, Avery, Benjamin, Jackson. I ate oatmeal.\"\n13632,2014/01/15,\"I had lunch with Jackson, Willow, Avery. I ate indian food.\",\"I had lunch with Jackson, Willow, Avery. I ate indian food.\"\n13633,2014/01/15,\"I had dinner with Rylee, Lydia, Olivia. I ate fish and chips.\",\"I had dinner with Rylee, Lydia, Olivia. I ate fish and chips.\"\n13634,2014/01/15,I talked to Claire for 28 minutes in the late afternoon.,I talked to Claire for 28 minutes in the late afternoon.\n13635,2014/01/15,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n13636,2014/01/15,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n13637,2014/01/16,I did weight lifting on 2014/01/16.,I did weight lifting on 2014/01/16.\n13638,2014/01/16,\"I had breakfast with Eva, Nora, Lydia, Nevaeh. I ate toast and cheese.\",\"I had breakfast with Eva, Nora, Lydia, Nevaeh. I ate toast and cheese.\"\n13639,2014/01/16,I ate indian food for lunch.,I ate indian food for lunch.\n13640,2014/01/16,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n13641,2014/01/16,\"I talked to Kinsley, Piper for 49 minutes in the early evening.\",\"I talked to Kinsley, Piper for 49 minutes in the early evening.\"\n13642,2014/01/16,I talked to Claire for 40 minutes in the morning.,I talked to Claire for 40 minutes in the morning.\n13643,2014/01/16,\"I spent 5 talking to Nora, Nevaeh, Avery, Hazel on various topics late in the evening.\",\"I spent 5 talking to Nora, Nevaeh, Avery, Hazel on various topics late in the evening.\"\n13644,2014/01/16,\"I spent 38 talking to Kinsley, Nora, Claire, Olivia on various topics in the morning.\",\"I spent 38 talking to Kinsley, Nora, Claire, Olivia on various topics in the morning.\"\n13645,2014/01/16,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n13646,2014/01/16,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n13647,2014/01/17,I did weight lifting on 2014/01/17.,I did weight lifting on 2014/01/17.\n13648,2014/01/17,I had toast and cheese for breakfast with Carter,I had toast and cheese for breakfast with Carter\n13649,2014/01/17,I prepare indian food for lunch.,I prepare indian food for lunch.\n13650,2014/01/17,\"I had dinner with Carter, Kayden, Emily. I ate fish and chips.\",\"I had dinner with Carter, Kayden, Emily. I ate fish and chips.\"\n13651,2014/01/17,\"I talked to Olivia, Nora, Piper for 44 minutes late in the evening.\",\"I talked to Olivia, Nora, Piper for 44 minutes late in the evening.\"\n13652,2014/01/17,\"I spent 54 talking to Piper, Kinsley, Claire on various topics in the morning.\",\"I spent 54 talking to Piper, Kinsley, Claire on various topics in the morning.\"\n13653,2014/01/17,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n13654,2014/01/17,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n13655,2014/01/18,I did weight lifting on 2014/01/18.,I did weight lifting on 2014/01/18.\n13656,2014/01/18,\"I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread.\"\n13657,2014/01/18,I ate sushi for lunch.,I ate sushi for lunch.\n13658,2014/01/18,I ate pasta for dinner.,I ate pasta for dinner.\n13659,2014/01/18,\"I talked to Piper, Hazel for 34 minutes in the late afternoon.\",\"I talked to Piper, Hazel for 34 minutes in the late afternoon.\"\n13660,2014/01/18,I spent 32 talking to Claire on various topics in the early afternoon.,I spent 32 talking to Claire on various topics in the early afternoon.\n13661,2014/01/18,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n13662,2014/01/18,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n13663,2014/01/19,I did swimming on 2014/01/19.,I did swimming on 2014/01/19.\n13664,2014/01/19,\"I had toast and cheese for breakfast with Kayden, Carter, Andrew, Emily\",\"I had toast and cheese for breakfast with Kayden, Carter, Andrew, Emily\"\n13665,2014/01/19,\"I had lunch with Kayden, Andrew, Carter, Emily. I ate sushi.\",\"I had lunch with Kayden, Andrew, Carter, Emily. I ate sushi.\"\n13666,2014/01/19,\"I had dinner with Jackson, Benjamin, Avery. I ate tacos.\",\"I had dinner with Jackson, Benjamin, Avery. I ate tacos.\"\n13667,2014/01/19,\"I talked to Olivia, Nora, Rylee for 10 minutes late in the evening.\",\"I talked to Olivia, Nora, Rylee for 10 minutes late in the evening.\"\n13668,2014/01/19,\"I talked to Nora, Avery, Claire, Olivia for 41 minutes in the morning.\",\"I talked to Nora, Avery, Claire, Olivia for 41 minutes in the morning.\"\n13669,2014/01/19,\"I talked to Claire, Piper, Kinsley for 27 minutes late in the evening.\",\"I talked to Claire, Piper, Kinsley for 27 minutes late in the evening.\"\n13670,2014/01/19,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n13671,2014/01/19,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n13672,2014/01/20,I went on a date with Connor on 2014/01/20 at a boba shop,I went on a date with Connor on 2014/01/20 at a boba shop\n13673,2014/01/20,I did HIIT on 2014/01/20.,I did HIIT on 2014/01/20.\n13674,2014/01/20,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n13675,2014/01/20,\"I had sandwich for lunch with Kinsley, Nora, Piper, Eva, Layla, Olivia, Rylee, Nevaeh, Lydia, Claire\",\"I had sandwich for lunch with Kinsley, Nora, Piper, Eva, Layla, Olivia, Rylee, Nevaeh, Lydia, Claire\"\n13676,2014/01/20,\"I had indian food for dinner with Kayden, Andrew, Carter, Emily\",\"I had indian food for dinner with Kayden, Andrew, Carter, Emily\"\n13677,2014/01/20,I spent 31 talking to Claire on various topics in the morning.,I spent 31 talking to Claire on various topics in the morning.\n13678,2014/01/20,\"I talked to Lydia, Claire, Avery for 40 minutes in the morning.\",\"I talked to Lydia, Claire, Avery for 40 minutes in the morning.\"\n13679,2014/01/20,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n13680,2014/01/20,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n13681,2014/01/21,I spent some time gardening on 2014/01/21.,I spent some time gardening on 2014/01/21.\n13682,2014/01/21,\"I had peanut-butter-jam for breakfast with Andrew, Kayden\",\"I had peanut-butter-jam for breakfast with Andrew, Kayden\"\n13683,2014/01/21,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n13684,2014/01/21,I prepare sushi for dinner.,I prepare sushi for dinner.\n13685,2014/01/21,\"I talked to Avery, Layla, Claire for 6 minutes in the late afternoon.\",\"I talked to Avery, Layla, Claire for 6 minutes in the late afternoon.\"\n13686,2014/01/21,\"I spent 54 talking to Layla, Piper on various topics in the morning.\",\"I spent 54 talking to Layla, Piper on various topics in the morning.\"\n13687,2014/01/21,\"I talked to Rylee, Layla for 9 minutes in the late afternoon.\",\"I talked to Rylee, Layla for 9 minutes in the late afternoon.\"\n13688,2014/01/21,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n13689,2014/01/21,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n13690,2014/01/22,I did biking on 2014/01/22.,I did biking on 2014/01/22.\n13691,2014/01/22,\"I had breakfast with Kayden, Andrew, Carter, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Andrew, Carter, Emily. I ate eggs, sausages, and bread.\"\n13692,2014/01/22,I ate pasta for lunch.,I ate pasta for lunch.\n13693,2014/01/22,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n13694,2014/01/22,\"I spent 50 talking to Eva, Kinsley, Piper, Olivia on various topics late in the evening.\",\"I spent 50 talking to Eva, Kinsley, Piper, Olivia on various topics late in the evening.\"\n13695,2014/01/22,I talked to Piper for 38 minutes during lunch hours.,I talked to Piper for 38 minutes during lunch hours.\n13696,2014/01/22,\"I talked to Piper, Rylee, Eva, Olivia for 12 minutes in the early evening.\",\"I talked to Piper, Rylee, Eva, Olivia for 12 minutes in the early evening.\"\n13697,2014/01/22,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n13698,2014/01/22,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n13699,2014/01/23,I did biking on 2014/01/23.,I did biking on 2014/01/23.\n13700,2014/01/23,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n13701,2014/01/23,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n13702,2014/01/23,\"I had sandwich for dinner with Emily, Kayden, Carter\",\"I had sandwich for dinner with Emily, Kayden, Carter\"\n13703,2014/01/23,\"I spent 11 talking to Olivia, Avery, Piper, Layla on various topics in the early evening.\",\"I spent 11 talking to Olivia, Avery, Piper, Layla on various topics in the early evening.\"\n13704,2014/01/23,\"I spent 40 talking to Hazel, Eva, Claire, Piper on various topics during lunch hours.\",\"I spent 40 talking to Hazel, Eva, Claire, Piper on various topics during lunch hours.\"\n13705,2014/01/23,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n13706,2014/01/23,I spent 39 minutes watching a tv series on TV today.,I spent 39 minutes watching a tv series on TV today.\n13707,2014/01/24,\"I bought some strawberries, peaches, oranges, apple juice, tea, orange juice, coffee, facial wash, mouth wash, shampoo online.\",\"I bought some strawberries, peaches, oranges, apple juice, tea, orange juice, coffee, facial wash, mouth wash, shampoo online.\"\n13708,2014/01/24,I did biking on 2014/01/24.,I did biking on 2014/01/24.\n13709,2014/01/24,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n13710,2014/01/24,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n13711,2014/01/24,\"I had dinner with Willow, Jackson. I ate pasta.\",\"I had dinner with Willow, Jackson. I ate pasta.\"\n13712,2014/01/24,I spent 12 talking to Kinsley on various topics in the early afternoon.,I spent 12 talking to Kinsley on various topics in the early afternoon.\n13713,2014/01/24,I spent 39 talking to Nevaeh on various topics late in the evening.,I spent 39 talking to Nevaeh on various topics late in the evening.\n13714,2014/01/24,\"I talked to Eva, Hazel, Layla, Piper for 23 minutes in the late afternoon.\",\"I talked to Eva, Hazel, Layla, Piper for 23 minutes in the late afternoon.\"\n13715,2014/01/24,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n13716,2014/01/24,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n13717,2014/01/25,\"I spent time meditation on 2014/01/25 with Jackson, Benjamin, Avery.\",\"I spent time meditation on 2014/01/25 with Jackson, Benjamin, Avery.\"\n13718,2014/01/25,\"I went grocery shopping. I bought some oranges, blueberries, cherres, apples, chocolate milk, coffee, tea, mango juice, and conditioner, shampoo, mouth wash, body lotion\",\"I went grocery shopping. I bought some oranges, blueberries, cherres, apples, chocolate milk, coffee, tea, mango juice, and conditioner, shampoo, mouth wash, body lotion\"\n13719,2014/01/25,I did weight lifting on 2014/01/25.,I did weight lifting on 2014/01/25.\n13720,2014/01/25,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n13721,2014/01/25,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n13722,2014/01/25,\"I had dinner with Jackson, Benjamin. I ate sushi.\",\"I had dinner with Jackson, Benjamin. I ate sushi.\"\n13723,2014/01/25,\"I spent 18 talking to Nora, Lydia, Eva, Avery on various topics in the late afternoon.\",\"I spent 18 talking to Nora, Lydia, Eva, Avery on various topics in the late afternoon.\"\n13724,2014/01/25,\"I talked to Rylee, Kinsley for 40 minutes in the morning.\",\"I talked to Rylee, Kinsley for 40 minutes in the morning.\"\n13725,2014/01/25,I talked to Piper for 10 minutes in the late afternoon.,I talked to Piper for 10 minutes in the late afternoon.\n13726,2014/01/25,\"I talked to Hazel, Eva, Kinsley, Lydia for 18 minutes in the early afternoon.\",\"I talked to Hazel, Eva, Kinsley, Lydia for 18 minutes in the early afternoon.\"\n13727,2014/01/25,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n13728,2014/01/25,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n13729,2014/01/26,I did swimming on 2014/01/26.,I did swimming on 2014/01/26.\n13730,2014/01/26,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n13731,2014/01/26,\"I had sandwich for lunch with Emily, Kayden, Andrew\",\"I had sandwich for lunch with Emily, Kayden, Andrew\"\n13732,2014/01/26,\"I had fish and chips for dinner with Piper, Nevaeh, Hazel, Lydia, Layla, Kinsley, Claire, Eva\",\"I had fish and chips for dinner with Piper, Nevaeh, Hazel, Lydia, Layla, Kinsley, Claire, Eva\"\n13733,2014/01/26,\"I spent 14 talking to Rylee, Lydia, Olivia, Nora on various topics in the late afternoon.\",\"I spent 14 talking to Rylee, Lydia, Olivia, Nora on various topics in the late afternoon.\"\n13734,2014/01/26,\"I spent 24 talking to Lydia, Kinsley, Claire, Avery on various topics in the early evening.\",\"I spent 24 talking to Lydia, Kinsley, Claire, Avery on various topics in the early evening.\"\n13735,2014/01/26,I spent 17 talking to Kinsley on various topics in the early evening.,I spent 17 talking to Kinsley on various topics in the early evening.\n13736,2014/01/26,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n13737,2014/01/26,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n13738,2014/01/27,I did swimming on 2014/01/27.,I did swimming on 2014/01/27.\n13739,2014/01/27,\"I had pancakes for breakfast with Eva, Nora, Nevaeh, Layla, Claire, Olivia, Piper, Piper, Lydia, Kinsley\",\"I had pancakes for breakfast with Eva, Nora, Nevaeh, Layla, Claire, Olivia, Piper, Piper, Lydia, Kinsley\"\n13740,2014/01/27,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n13741,2014/01/27,I prepare a burger for dinner.,I prepare a burger for dinner.\n13742,2014/01/27,\"I talked to Lydia, Olivia, Nora, Kinsley for 26 minutes in the morning.\",\"I talked to Lydia, Olivia, Nora, Kinsley for 26 minutes in the morning.\"\n13743,2014/01/27,\"I spent 13 talking to Nevaeh, Nora, Avery on various topics late in the evening.\",\"I spent 13 talking to Nevaeh, Nora, Avery on various topics late in the evening.\"\n13744,2014/01/27,\"I spent 13 talking to Claire, Lydia, Nevaeh on various topics in the early evening.\",\"I spent 13 talking to Claire, Lydia, Nevaeh on various topics in the early evening.\"\n13745,2014/01/27,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n13746,2014/01/27,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n13747,2014/01/28,I did swimming on 2014/01/28.,I did swimming on 2014/01/28.\n13748,2014/01/28,\"I had oatmeal for breakfast with Layla, Eva, Olivia, Lydia, Nevaeh\",\"I had oatmeal for breakfast with Layla, Eva, Olivia, Lydia, Nevaeh\"\n13749,2014/01/28,\"I had lunch with Andrew, Emily, Kayden. I ate a burger.\",\"I had lunch with Andrew, Emily, Kayden. I ate a burger.\"\n13750,2014/01/28,\"I had dinner with Piper, Piper, Rylee, Lydia, Nevaeh, Eva. I ate sushi.\",\"I had dinner with Piper, Piper, Rylee, Lydia, Nevaeh, Eva. I ate sushi.\"\n13751,2014/01/28,I talked to Layla for 54 minutes late in the evening.,I talked to Layla for 54 minutes late in the evening.\n13752,2014/01/28,I spent 41 talking to Eva on various topics in the morning.,I spent 41 talking to Eva on various topics in the morning.\n13753,2014/01/28,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n13754,2014/01/28,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n13755,2014/01/29,\"I entertained Piper, Layla, Claire, Piper at my place on 2014/01/29 and bake homemade toaster pastries, giant cinnamon roll, easy peanut butter fudge\",\"I entertained Piper, Layla, Claire, Piper at my place on 2014/01/29 and bake homemade toaster pastries, giant cinnamon roll, easy peanut butter fudge\"\n13756,2014/01/29,I did swimming on 2014/01/29.,I did swimming on 2014/01/29.\n13757,2014/01/29,\"I had toast and cheese for breakfast with Andrew, Kayden\",\"I had toast and cheese for breakfast with Andrew, Kayden\"\n13758,2014/01/29,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n13759,2014/01/29,\"I had dinner with Eva, Olivia, Claire, Kinsley, Piper. I ate chinese food.\",\"I had dinner with Eva, Olivia, Claire, Kinsley, Piper. I ate chinese food.\"\n13760,2014/01/29,\"I talked to Olivia, Kinsley for 13 minutes in the morning.\",\"I talked to Olivia, Kinsley for 13 minutes in the morning.\"\n13761,2014/01/29,\"I spent 24 talking to Olivia, Lydia on various topics in the morning.\",\"I spent 24 talking to Olivia, Lydia on various topics in the morning.\"\n13762,2014/01/29,I spent 15 talking to Nora on various topics late in the evening.,I spent 15 talking to Nora on various topics late in the evening.\n13763,2014/01/29,\"I spent 34 talking to Rylee, Lydia, Avery, Eva on various topics in the late afternoon.\",\"I spent 34 talking to Rylee, Lydia, Avery, Eva on various topics in the late afternoon.\"\n13764,2014/01/29,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n13765,2014/01/29,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n13766,2014/01/30,I did HIIT on 2014/01/30.,I did HIIT on 2014/01/30.\n13767,2014/01/30,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n13768,2014/01/30,\"I had lunch with Emily, Kayden, Carter, Andrew. I ate indian food.\",\"I had lunch with Emily, Kayden, Carter, Andrew. I ate indian food.\"\n13769,2014/01/30,I prepare pasta for dinner.,I prepare pasta for dinner.\n13770,2014/01/30,\"I talked to Layla, Eva for 19 minutes late in the evening.\",\"I talked to Layla, Eva for 19 minutes late in the evening.\"\n13771,2014/01/30,\"I talked to Eva, Kinsley for 55 minutes in the morning.\",\"I talked to Eva, Kinsley for 55 minutes in the morning.\"\n13772,2014/01/30,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n13773,2014/01/30,I spent 35 minutes watching a movie on TV today.,I spent 35 minutes watching a movie on TV today.\n13774,2014/01/31,I went on a date with Jackson on 2014/01/31 at a park,I went on a date with Jackson on 2014/01/31 at a park\n13775,2014/01/31,\"I went grocery shopping. I bought some clementines, soda, chocolate milk, pineapple juice, mango juice, and facial wash, toothpaste, toilet paper, shaving cream\",\"I went grocery shopping. I bought some clementines, soda, chocolate milk, pineapple juice, mango juice, and facial wash, toothpaste, toilet paper, shaving cream\"\n13776,2014/01/31,I did running on 2014/01/31.,I did running on 2014/01/31.\n13777,2014/01/31,I had oatmeal for breakfast with Avery,I had oatmeal for breakfast with Avery\n13778,2014/01/31,\"I had lunch with Carter, Emily, Andrew. I ate a burger.\",\"I had lunch with Carter, Emily, Andrew. I ate a burger.\"\n13779,2014/01/31,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n13780,2014/01/31,I talked to Piper for 30 minutes in the early evening.,I talked to Piper for 30 minutes in the early evening.\n13781,2014/01/31,I talked to Piper for 35 minutes during lunch hours.,I talked to Piper for 35 minutes during lunch hours.\n13782,2014/01/31,I spent 37 talking to Kinsley on various topics in the early evening.,I spent 37 talking to Kinsley on various topics in the early evening.\n13783,2014/01/31,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n13784,2014/01/31,I spent 48 minutes watching a documentary on TV today.,I spent 48 minutes watching a documentary on TV today.\n13785,2014/02/01,I went on a date with Eliana on 2014/02/01 at a boba shop,I went on a date with Eliana on 2014/02/01 at a boba shop\n13786,2014/02/01,I spent some time meditation on 2014/02/01.,I spent some time meditation on 2014/02/01.\n13787,2014/02/01,\"I bought some blackberries, bananas, orange juice, toothbrush from the grocery store. I saw Kinsley, Piper, Lydia, Layla, Piper, Nora, Rylee, Olivia, Eva, Hazel, Claire at the grocery store.\",\"I bought some blackberries, bananas, orange juice, toothbrush from the grocery store. I saw Kinsley, Piper, Lydia, Layla, Piper, Nora, Rylee, Olivia, Eva, Hazel, Claire at the grocery store.\"\n13788,2014/02/01,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n13789,2014/02/01,\"I had lunch with Avery, Jackson. I ate sushi.\",\"I had lunch with Avery, Jackson. I ate sushi.\"\n13790,2014/02/01,I had dinner with Nora. I ate steak.,I had dinner with Nora. I ate steak.\n13791,2014/02/01,\"I talked to Avery, Kinsley, Piper for 25 minutes during lunch hours.\",\"I talked to Avery, Kinsley, Piper for 25 minutes during lunch hours.\"\n13792,2014/02/01,\"I talked to Avery, Lydia for 52 minutes in the late afternoon.\",\"I talked to Avery, Lydia for 52 minutes in the late afternoon.\"\n13793,2014/02/01,\"I talked to Claire, Piper, Piper, Olivia for 45 minutes in the early afternoon.\",\"I talked to Claire, Piper, Piper, Olivia for 45 minutes in the early afternoon.\"\n13794,2014/02/01,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n13795,2014/02/01,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n13796,2014/02/02,I did running on 2014/02/02.,I did running on 2014/02/02.\n13797,2014/02/02,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n13798,2014/02/02,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n13799,2014/02/02,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n13800,2014/02/02,\"I spent 41 talking to Avery, Hazel on various topics in the late afternoon.\",\"I spent 41 talking to Avery, Hazel on various topics in the late afternoon.\"\n13801,2014/02/02,\"I spent 16 talking to Eva, Nora, Rylee on various topics during lunch hours.\",\"I spent 16 talking to Eva, Nora, Rylee on various topics during lunch hours.\"\n13802,2014/02/02,\"I spent 32 talking to Rylee, Claire on various topics during lunch hours.\",\"I spent 32 talking to Rylee, Claire on various topics during lunch hours.\"\n13803,2014/02/02,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n13804,2014/02/02,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n13805,2014/02/03,I did hiking on 2014/02/03.,I did hiking on 2014/02/03.\n13806,2014/02/03,I ate cereals for breakfast.,I ate cereals for breakfast.\n13807,2014/02/03,I had steak for lunch with Carter,I had steak for lunch with Carter\n13808,2014/02/03,\"I had tacos for dinner with Emily, Carter, Kayden\",\"I had tacos for dinner with Emily, Carter, Kayden\"\n13809,2014/02/03,\"I spent 29 talking to Layla, Lydia on various topics in the early evening.\",\"I spent 29 talking to Layla, Lydia on various topics in the early evening.\"\n13810,2014/02/03,I spent 18 talking to Lydia on various topics in the early evening.,I spent 18 talking to Lydia on various topics in the early evening.\n13811,2014/02/03,\"I spent 13 talking to Piper, Claire on various topics in the early evening.\",\"I spent 13 talking to Piper, Claire on various topics in the early evening.\"\n13812,2014/02/03,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n13813,2014/02/03,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n13814,2014/02/04,I did HIIT on 2014/02/04.,I did HIIT on 2014/02/04.\n13815,2014/02/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n13816,2014/02/04,I prepare sushi for lunch.,I prepare sushi for lunch.\n13817,2014/02/04,\"I had dinner with Kayden, Carter, Andrew. I ate pasta.\",\"I had dinner with Kayden, Carter, Andrew. I ate pasta.\"\n13818,2014/02/04,\"I spent 19 talking to Avery, Piper on various topics during lunch hours.\",\"I spent 19 talking to Avery, Piper on various topics during lunch hours.\"\n13819,2014/02/04,\"I talked to Avery, Piper, Hazel for 13 minutes during lunch hours.\",\"I talked to Avery, Piper, Hazel for 13 minutes during lunch hours.\"\n13820,2014/02/04,\"I spent 45 talking to Nora, Piper, Lydia on various topics in the early afternoon.\",\"I spent 45 talking to Nora, Piper, Lydia on various topics in the early afternoon.\"\n13821,2014/02/04,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n13822,2014/02/04,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n13823,2014/02/05,I did weight lifting on 2014/02/05.,I did weight lifting on 2014/02/05.\n13824,2014/02/05,\"I had breakfast with Andrew, Emily, Carter. I ate oatmeal.\",\"I had breakfast with Andrew, Emily, Carter. I ate oatmeal.\"\n13825,2014/02/05,I prepare a burger for lunch.,I prepare a burger for lunch.\n13826,2014/02/05,\"I had fish and chips for dinner with Jackson, Benjamin\",\"I had fish and chips for dinner with Jackson, Benjamin\"\n13827,2014/02/05,\"I spent 50 talking to Nora, Eva, Claire on various topics in the early evening.\",\"I spent 50 talking to Nora, Eva, Claire on various topics in the early evening.\"\n13828,2014/02/05,\"I spent 54 talking to Claire, Olivia, Piper on various topics in the late afternoon.\",\"I spent 54 talking to Claire, Olivia, Piper on various topics in the late afternoon.\"\n13829,2014/02/05,\"I talked to Lydia, Hazel, Eva, Olivia for 35 minutes during lunch hours.\",\"I talked to Lydia, Hazel, Eva, Olivia for 35 minutes during lunch hours.\"\n13830,2014/02/05,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n13831,2014/02/05,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n13832,2014/02/06,I did hiking on 2014/02/06.,I did hiking on 2014/02/06.\n13833,2014/02/06,\"I had pancakes for breakfast with Kinsley, Rylee, Eva, Hazel, Nora, Avery, Piper\",\"I had pancakes for breakfast with Kinsley, Rylee, Eva, Hazel, Nora, Avery, Piper\"\n13834,2014/02/06,\"I had lunch with Benjamin, Willow, Avery, Jackson. I ate tacos.\",\"I had lunch with Benjamin, Willow, Avery, Jackson. I ate tacos.\"\n13835,2014/02/06,I prepare pasta for dinner.,I prepare pasta for dinner.\n13836,2014/02/06,\"I talked to Olivia, Lydia for 26 minutes during lunch hours.\",\"I talked to Olivia, Lydia for 26 minutes during lunch hours.\"\n13837,2014/02/06,\"I talked to Avery, Olivia, Nevaeh for 48 minutes in the late afternoon.\",\"I talked to Avery, Olivia, Nevaeh for 48 minutes in the late afternoon.\"\n13838,2014/02/06,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n13839,2014/02/06,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n13840,2014/02/07,\"I entertained Claire at my place on 2014/02/07 and cook thai green curry paste, cream of celery soup recipe\",\"I entertained Claire at my place on 2014/02/07 and cook thai green curry paste, cream of celery soup recipe\"\n13841,2014/02/07,I went on a date with Nora on 2014/02/07 at a boba shop,I went on a date with Nora on 2014/02/07 at a boba shop\n13842,2014/02/07,\"I bought some oranges, apples, raspberries, peaches, mineral water, guava juice, shampoo from the grocery store. I saw Willow at the grocery store.\",\"I bought some oranges, apples, raspberries, peaches, mineral water, guava juice, shampoo from the grocery store. I saw Willow at the grocery store.\"\n13843,2014/02/07,I did weight lifting on 2014/02/07.,I did weight lifting on 2014/02/07.\n13844,2014/02/07,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n13845,2014/02/07,\"I had lunch with Andrew, Carter. I ate tacos.\",\"I had lunch with Andrew, Carter. I ate tacos.\"\n13846,2014/02/07,I had sushi for dinner with Kayden,I had sushi for dinner with Kayden\n13847,2014/02/07,\"I spent 55 talking to Piper, Olivia, Eva, Layla on various topics during lunch hours.\",\"I spent 55 talking to Piper, Olivia, Eva, Layla on various topics during lunch hours.\"\n13848,2014/02/07,I spent 41 talking to Rylee on various topics in the early evening.,I spent 41 talking to Rylee on various topics in the early evening.\n13849,2014/02/07,\"I talked to Rylee, Claire, Kinsley for 20 minutes in the morning.\",\"I talked to Rylee, Claire, Kinsley for 20 minutes in the morning.\"\n13850,2014/02/07,I spent 41 talking to Avery on various topics in the early afternoon.,I spent 41 talking to Avery on various topics in the early afternoon.\n13851,2014/02/07,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n13852,2014/02/07,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n13853,2014/02/08,I did HIIT on 2014/02/08.,I did HIIT on 2014/02/08.\n13854,2014/02/08,I had breakfast with Kayden. I ate toast and cheese.,I had breakfast with Kayden. I ate toast and cheese.\n13855,2014/02/08,\"I had lunch with Carter, Emily, Andrew, Kayden. I ate fish and chips.\",\"I had lunch with Carter, Emily, Andrew, Kayden. I ate fish and chips.\"\n13856,2014/02/08,\"I had dinner with Olivia, Piper, Nevaeh, Hazel, Rylee, Layla, Kinsley. I ate steak.\",\"I had dinner with Olivia, Piper, Nevaeh, Hazel, Rylee, Layla, Kinsley. I ate steak.\"\n13857,2014/02/08,I talked to Layla for 9 minutes during lunch hours.,I talked to Layla for 9 minutes during lunch hours.\n13858,2014/02/08,\"I spent 30 talking to Piper, Piper, Kinsley on various topics in the morning.\",\"I spent 30 talking to Piper, Piper, Kinsley on various topics in the morning.\"\n13859,2014/02/08,I talked to Layla for 48 minutes in the late afternoon.,I talked to Layla for 48 minutes in the late afternoon.\n13860,2014/02/08,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n13861,2014/02/08,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n13862,2014/02/09,I did swimming on 2014/02/09.,I did swimming on 2014/02/09.\n13863,2014/02/09,\"I had breakfast with Jackson, Willow, Avery, Benjamin. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Willow, Avery, Benjamin. I ate eggs, sausages, and bread.\"\n13864,2014/02/09,I had lunch with Benjamin. I ate fish and chips.,I had lunch with Benjamin. I ate fish and chips.\n13865,2014/02/09,I had sandwich for dinner with Willow,I had sandwich for dinner with Willow\n13866,2014/02/09,I spent 21 talking to Nora on various topics late in the evening.,I spent 21 talking to Nora on various topics late in the evening.\n13867,2014/02/09,\"I spent 14 talking to Rylee, Hazel, Lydia, Avery on various topics in the early evening.\",\"I spent 14 talking to Rylee, Hazel, Lydia, Avery on various topics in the early evening.\"\n13868,2014/02/09,\"I spent 15 talking to Piper, Claire on various topics in the early afternoon.\",\"I spent 15 talking to Piper, Claire on various topics in the early afternoon.\"\n13869,2014/02/09,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n13870,2014/02/09,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n13871,2014/02/10,I went on a date with Santiago  on 2014/02/10 at a park,I went on a date with Santiago  on 2014/02/10 at a park\n13872,2014/02/10,I did swimming on 2014/02/10.,I did swimming on 2014/02/10.\n13873,2014/02/10,\"I had breakfast with Hazel, Piper, Piper, Claire, Layla, Lydia, Nevaeh, Kinsley. I ate pancakes.\",\"I had breakfast with Hazel, Piper, Piper, Claire, Layla, Lydia, Nevaeh, Kinsley. I ate pancakes.\"\n13874,2014/02/10,I ate chinese food for lunch.,I ate chinese food for lunch.\n13875,2014/02/10,I had dinner with Kayden. I ate steak.,I had dinner with Kayden. I ate steak.\n13876,2014/02/10,\"I talked to Piper, Claire, Olivia for 8 minutes in the morning.\",\"I talked to Piper, Claire, Olivia for 8 minutes in the morning.\"\n13877,2014/02/10,\"I talked to Layla, Piper, Avery, Hazel for 6 minutes in the early evening.\",\"I talked to Layla, Piper, Avery, Hazel for 6 minutes in the early evening.\"\n13878,2014/02/10,\"I talked to Piper, Rylee, Hazel, Lydia for 37 minutes during lunch hours.\",\"I talked to Piper, Rylee, Hazel, Lydia for 37 minutes during lunch hours.\"\n13879,2014/02/10,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n13880,2014/02/10,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n13881,2014/02/11,I did weight lifting on 2014/02/11.,I did weight lifting on 2014/02/11.\n13882,2014/02/11,\"I had breakfast with Avery, Benjamin, Jackson, Willow. I ate oatmeal.\",\"I had breakfast with Avery, Benjamin, Jackson, Willow. I ate oatmeal.\"\n13883,2014/02/11,I ate sushi for lunch.,I ate sushi for lunch.\n13884,2014/02/11,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n13885,2014/02/11,\"I spent 42 talking to Layla, Piper on various topics in the morning.\",\"I spent 42 talking to Layla, Piper on various topics in the morning.\"\n13886,2014/02/11,\"I spent 9 talking to Lydia, Eva on various topics in the early afternoon.\",\"I spent 9 talking to Lydia, Eva on various topics in the early afternoon.\"\n13887,2014/02/11,I talked to Kinsley for 26 minutes in the late afternoon.,I talked to Kinsley for 26 minutes in the late afternoon.\n13888,2014/02/11,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n13889,2014/02/11,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n13890,2014/02/12,I did biking on 2014/02/12.,I did biking on 2014/02/12.\n13891,2014/02/12,\"I had oatmeal for breakfast with Andrew, Carter, Kayden\",\"I had oatmeal for breakfast with Andrew, Carter, Kayden\"\n13892,2014/02/12,I ate indian food for lunch.,I ate indian food for lunch.\n13893,2014/02/12,I ate a burger for dinner.,I ate a burger for dinner.\n13894,2014/02/12,I spent 39 talking to Avery on various topics late in the evening.,I spent 39 talking to Avery on various topics late in the evening.\n13895,2014/02/12,\"I spent 33 talking to Rylee, Kinsley on various topics late in the evening.\",\"I spent 33 talking to Rylee, Kinsley on various topics late in the evening.\"\n13896,2014/02/12,\"I talked to Eva, Layla, Nevaeh for 36 minutes in the late afternoon.\",\"I talked to Eva, Layla, Nevaeh for 36 minutes in the late afternoon.\"\n13897,2014/02/12,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n13898,2014/02/12,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n13899,2014/02/13,\"I bought some pears, coffee, mineral water, facial wash, paper towel, toothbrush, shampoo online.\",\"I bought some pears, coffee, mineral water, facial wash, paper towel, toothbrush, shampoo online.\"\n13900,2014/02/13,I did biking on 2014/02/13.,I did biking on 2014/02/13.\n13901,2014/02/13,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n13902,2014/02/13,I ate chinese food for lunch.,I ate chinese food for lunch.\n13903,2014/02/13,I prepare steak for dinner.,I prepare steak for dinner.\n13904,2014/02/13,\"I talked to Olivia, Avery for 34 minutes in the early afternoon.\",\"I talked to Olivia, Avery for 34 minutes in the early afternoon.\"\n13905,2014/02/13,\"I spent 36 talking to Rylee, Nora, Avery, Nevaeh on various topics in the morning.\",\"I spent 36 talking to Rylee, Nora, Avery, Nevaeh on various topics in the morning.\"\n13906,2014/02/13,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n13907,2014/02/13,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n13908,2014/02/14,I spent some time gardening on 2014/02/14.,I spent some time gardening on 2014/02/14.\n13909,2014/02/14,I did HIIT on 2014/02/14.,I did HIIT on 2014/02/14.\n13910,2014/02/14,I ate cereals for breakfast.,I ate cereals for breakfast.\n13911,2014/02/14,I ate sushi for lunch.,I ate sushi for lunch.\n13912,2014/02/14,I prepare indian food for dinner.,I prepare indian food for dinner.\n13913,2014/02/14,\"I talked to Lydia, Piper for 50 minutes in the morning.\",\"I talked to Lydia, Piper for 50 minutes in the morning.\"\n13914,2014/02/14,I talked to Hazel for 12 minutes in the late afternoon.,I talked to Hazel for 12 minutes in the late afternoon.\n13915,2014/02/14,\"I spent 18 talking to Piper, Piper, Kinsley, Rylee on various topics in the morning.\",\"I spent 18 talking to Piper, Piper, Kinsley, Rylee on various topics in the morning.\"\n13916,2014/02/14,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n13917,2014/02/14,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n13918,2014/02/15,I did biking on 2014/02/15.,I did biking on 2014/02/15.\n13919,2014/02/15,I had breakfast with Carter. I ate toast and cheese.,I had breakfast with Carter. I ate toast and cheese.\n13920,2014/02/15,I prepare pasta for lunch.,I prepare pasta for lunch.\n13921,2014/02/15,I prepare pasta for dinner.,I prepare pasta for dinner.\n13922,2014/02/15,\"I spent 47 talking to Lydia, Hazel, Nora on various topics in the late afternoon.\",\"I spent 47 talking to Lydia, Hazel, Nora on various topics in the late afternoon.\"\n13923,2014/02/15,\"I spent 22 talking to Piper, Nora, Olivia on various topics during lunch hours.\",\"I spent 22 talking to Piper, Nora, Olivia on various topics during lunch hours.\"\n13924,2014/02/15,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n13925,2014/02/15,I spent 47 minutes watching a movie on TV today.,I spent 47 minutes watching a movie on TV today.\n13926,2014/02/16,I did weight lifting on 2014/02/16.,I did weight lifting on 2014/02/16.\n13927,2014/02/16,\"I had breakfast with Andrew, Carter, Emily, Kayden. I ate pancakes.\",\"I had breakfast with Andrew, Carter, Emily, Kayden. I ate pancakes.\"\n13928,2014/02/16,I ate pasta for lunch.,I ate pasta for lunch.\n13929,2014/02/16,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n13930,2014/02/16,\"I talked to Eva, Layla for 23 minutes during lunch hours.\",\"I talked to Eva, Layla for 23 minutes during lunch hours.\"\n13931,2014/02/16,\"I spent 27 talking to Piper, Kinsley on various topics in the early evening.\",\"I spent 27 talking to Piper, Kinsley on various topics in the early evening.\"\n13932,2014/02/16,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n13933,2014/02/16,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n13934,2014/02/17,I spent some time meditation on 2014/02/17.,I spent some time meditation on 2014/02/17.\n13935,2014/02/17,\"I bought some peaches, apples, orange juice, sports drinks, mouthwash, toothbrush, toothpaste, shaving cream online.\",\"I bought some peaches, apples, orange juice, sports drinks, mouthwash, toothbrush, toothpaste, shaving cream online.\"\n13936,2014/02/17,I did hiking on 2014/02/17.,I did hiking on 2014/02/17.\n13937,2014/02/17,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n13938,2014/02/17,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n13939,2014/02/17,\"I had a burger for dinner with Lydia, Olivia, Nevaeh, Layla, Claire, Avery, Piper, Kinsley\",\"I had a burger for dinner with Lydia, Olivia, Nevaeh, Layla, Claire, Avery, Piper, Kinsley\"\n13940,2014/02/17,I spent 20 talking to Avery on various topics in the early evening.,I spent 20 talking to Avery on various topics in the early evening.\n13941,2014/02/17,\"I spent 32 talking to Rylee, Hazel, Olivia on various topics during lunch hours.\",\"I spent 32 talking to Rylee, Hazel, Olivia on various topics during lunch hours.\"\n13942,2014/02/17,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n13943,2014/02/17,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n13944,2014/02/18,I went on a date with Luca on 2014/02/18 at a park,I went on a date with Luca on 2014/02/18 at a park\n13945,2014/02/18,I did swimming on 2014/02/18.,I did swimming on 2014/02/18.\n13946,2014/02/18,I had toast and cheese for breakfast with Emily,I had toast and cheese for breakfast with Emily\n13947,2014/02/18,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n13948,2014/02/18,\"I had steak for dinner with Benjamin, Jackson\",\"I had steak for dinner with Benjamin, Jackson\"\n13949,2014/02/18,\"I spent 49 talking to Nevaeh, Nora, Olivia on various topics in the late afternoon.\",\"I spent 49 talking to Nevaeh, Nora, Olivia on various topics in the late afternoon.\"\n13950,2014/02/18,\"I spent 23 talking to Nevaeh, Kinsley, Hazel on various topics in the morning.\",\"I spent 23 talking to Nevaeh, Kinsley, Hazel on various topics in the morning.\"\n13951,2014/02/18,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n13952,2014/02/18,I watched a documentary for 35 minutes on TV today.,I watched a documentary for 35 minutes on TV today.\n13953,2014/02/19,I did running on 2014/02/19.,I did running on 2014/02/19.\n13954,2014/02/19,\"I had breakfast with Nora, Nevaeh, Layla. I ate oatmeal.\",\"I had breakfast with Nora, Nevaeh, Layla. I ate oatmeal.\"\n13955,2014/02/19,\"I had chinese food for lunch with Emily, Andrew, Carter\",\"I had chinese food for lunch with Emily, Andrew, Carter\"\n13956,2014/02/19,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n13957,2014/02/19,\"I talked to Eva, Claire, Kinsley, Layla for 42 minutes in the early evening.\",\"I talked to Eva, Claire, Kinsley, Layla for 42 minutes in the early evening.\"\n13958,2014/02/19,\"I talked to Hazel, Layla for 7 minutes in the early afternoon.\",\"I talked to Hazel, Layla for 7 minutes in the early afternoon.\"\n13959,2014/02/19,\"I spent 53 talking to Avery, Piper, Nevaeh, Lydia on various topics in the morning.\",\"I spent 53 talking to Avery, Piper, Nevaeh, Lydia on various topics in the morning.\"\n13960,2014/02/19,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n13961,2014/02/19,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n13962,2014/02/20,I did swimming on 2014/02/20.,I did swimming on 2014/02/20.\n13963,2014/02/20,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n13964,2014/02/20,I ate chinese food for lunch.,I ate chinese food for lunch.\n13965,2014/02/20,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n13966,2014/02/20,\"I talked to Kinsley, Piper, Olivia for 6 minutes in the late afternoon.\",\"I talked to Kinsley, Piper, Olivia for 6 minutes in the late afternoon.\"\n13967,2014/02/20,\"I spent 54 talking to Lydia, Piper, Nora on various topics in the late afternoon.\",\"I spent 54 talking to Lydia, Piper, Nora on various topics in the late afternoon.\"\n13968,2014/02/20,\"I talked to Eva, Hazel, Rylee for 15 minutes late in the evening.\",\"I talked to Eva, Hazel, Rylee for 15 minutes late in the evening.\"\n13969,2014/02/20,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n13970,2014/02/20,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n13971,2014/02/21,\"I spent time learning a language on 2014/02/21 with Nora, Avery, Piper.\",\"I spent time learning a language on 2014/02/21 with Nora, Avery, Piper.\"\n13972,2014/02/21,I did running on 2014/02/21.,I did running on 2014/02/21.\n13973,2014/02/21,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n13974,2014/02/21,I ate a burger for lunch.,I ate a burger for lunch.\n13975,2014/02/21,I had dinner with Carter. I ate sandwich.,I had dinner with Carter. I ate sandwich.\n13976,2014/02/21,\"I talked to Layla, Piper for 36 minutes late in the evening.\",\"I talked to Layla, Piper for 36 minutes late in the evening.\"\n13977,2014/02/21,\"I talked to Layla, Hazel for 28 minutes in the late afternoon.\",\"I talked to Layla, Hazel for 28 minutes in the late afternoon.\"\n13978,2014/02/21,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n13979,2014/02/21,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n13980,2014/02/22,I did swimming on 2014/02/22.,I did swimming on 2014/02/22.\n13981,2014/02/22,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n13982,2014/02/22,\"I had lunch with Nevaeh, Avery, Layla, Piper, Rylee, Lydia, Kinsley, Eva, Nora, Piper, Olivia. I ate sushi.\",\"I had lunch with Nevaeh, Avery, Layla, Piper, Rylee, Lydia, Kinsley, Eva, Nora, Piper, Olivia. I ate sushi.\"\n13983,2014/02/22,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n13984,2014/02/22,\"I talked to Piper, Nora for 45 minutes during lunch hours.\",\"I talked to Piper, Nora for 45 minutes during lunch hours.\"\n13985,2014/02/22,\"I talked to Piper, Lydia, Nevaeh, Piper for 5 minutes in the early evening.\",\"I talked to Piper, Lydia, Nevaeh, Piper for 5 minutes in the early evening.\"\n13986,2014/02/22,\"I spent 42 talking to Eva, Hazel, Layla, Olivia on various topics in the late afternoon.\",\"I spent 42 talking to Eva, Hazel, Layla, Olivia on various topics in the late afternoon.\"\n13987,2014/02/22,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n13988,2014/02/22,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n13989,2014/02/23,\"I went grocery shopping with Willow, Jackson, Avery, Benjamin. I bought some strawberries, apple juice, milk, guava juice, and body lotion, facial wash\",\"I went grocery shopping with Willow, Jackson, Avery, Benjamin. I bought some strawberries, apple juice, milk, guava juice, and body lotion, facial wash\"\n13990,2014/02/23,I did swimming on 2014/02/23.,I did swimming on 2014/02/23.\n13991,2014/02/23,\"I had eggs, sausages, and bread for breakfast with Kayden, Andrew\",\"I had eggs, sausages, and bread for breakfast with Kayden, Andrew\"\n13992,2014/02/23,\"I had steak for lunch with Nora, Layla, Kinsley, Nevaeh, Claire, Lydia, Rylee, Avery\",\"I had steak for lunch with Nora, Layla, Kinsley, Nevaeh, Claire, Lydia, Rylee, Avery\"\n13993,2014/02/23,I prepare a burger for dinner.,I prepare a burger for dinner.\n13994,2014/02/23,I spent 34 talking to Claire on various topics in the early evening.,I spent 34 talking to Claire on various topics in the early evening.\n13995,2014/02/23,\"I talked to Eva, Rylee, Lydia, Avery for 9 minutes in the morning.\",\"I talked to Eva, Rylee, Lydia, Avery for 9 minutes in the morning.\"\n13996,2014/02/23,\"I talked to Rylee, Eva, Claire for 12 minutes in the early afternoon.\",\"I talked to Rylee, Eva, Claire for 12 minutes in the early afternoon.\"\n13997,2014/02/23,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n13998,2014/02/23,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n13999,2014/02/24,\"On 2014/02/24, I took Jonathan on a date to a boba shop\",\"On 2014/02/24, I took Jonathan on a date to a boba shop\"\n14000,2014/02/24,\"I spent time working out on 2014/02/24 with Benjamin, Jackson.\",\"I spent time working out on 2014/02/24 with Benjamin, Jackson.\"\n14001,2014/02/24,I did swimming on 2014/02/24.,I did swimming on 2014/02/24.\n14002,2014/02/24,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n14003,2014/02/24,I prepare tacos for lunch.,I prepare tacos for lunch.\n14004,2014/02/24,I ate a burger for dinner.,I ate a burger for dinner.\n14005,2014/02/24,I spent 22 talking to Claire on various topics in the early afternoon.,I spent 22 talking to Claire on various topics in the early afternoon.\n14006,2014/02/24,I spent 46 talking to Layla on various topics in the morning.,I spent 46 talking to Layla on various topics in the morning.\n14007,2014/02/24,\"I talked to Rylee, Nevaeh, Piper, Nora for 31 minutes late in the evening.\",\"I talked to Rylee, Nevaeh, Piper, Nora for 31 minutes late in the evening.\"\n14008,2014/02/24,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n14009,2014/02/24,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n14010,2014/02/25,I did hiking on 2014/02/25.,I did hiking on 2014/02/25.\n14011,2014/02/25,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n14012,2014/02/25,I prepare indian food for lunch.,I prepare indian food for lunch.\n14013,2014/02/25,\"I had steak for dinner with Kayden, Andrew\",\"I had steak for dinner with Kayden, Andrew\"\n14014,2014/02/25,\"I spent 55 talking to Piper, Hazel, Kinsley, Lydia on various topics in the morning.\",\"I spent 55 talking to Piper, Hazel, Kinsley, Lydia on various topics in the morning.\"\n14015,2014/02/25,\"I spent 14 talking to Kinsley, Piper, Eva, Hazel on various topics in the morning.\",\"I spent 14 talking to Kinsley, Piper, Eva, Hazel on various topics in the morning.\"\n14016,2014/02/25,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n14017,2014/02/25,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n14018,2014/02/26,I did weight lifting on 2014/02/26.,I did weight lifting on 2014/02/26.\n14019,2014/02/26,I had cereals for breakfast with Carter,I had cereals for breakfast with Carter\n14020,2014/02/26,I had pasta for lunch with Nora,I had pasta for lunch with Nora\n14021,2014/02/26,I ate steak for dinner.,I ate steak for dinner.\n14022,2014/02/26,\"I talked to Piper, Piper, Olivia, Kinsley for 39 minutes in the late afternoon.\",\"I talked to Piper, Piper, Olivia, Kinsley for 39 minutes in the late afternoon.\"\n14023,2014/02/26,\"I talked to Lydia, Olivia, Eva for 51 minutes in the early evening.\",\"I talked to Lydia, Olivia, Eva for 51 minutes in the early evening.\"\n14024,2014/02/26,\"I spent 43 talking to Hazel, Piper, Nora, Piper on various topics late in the evening.\",\"I spent 43 talking to Hazel, Piper, Nora, Piper on various topics late in the evening.\"\n14025,2014/02/26,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n14026,2014/02/26,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n14027,2014/02/27,I went on a date with Alon on 2014/02/27 at a park,I went on a date with Alon on 2014/02/27 at a park\n14028,2014/02/27,I did biking on 2014/02/27.,I did biking on 2014/02/27.\n14029,2014/02/27,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n14030,2014/02/27,\"I had fish and chips for lunch with Kayden, Emily\",\"I had fish and chips for lunch with Kayden, Emily\"\n14031,2014/02/27,I ate steak for dinner.,I ate steak for dinner.\n14032,2014/02/27,\"I spent 33 talking to Nora, Layla, Olivia on various topics in the late afternoon.\",\"I spent 33 talking to Nora, Layla, Olivia on various topics in the late afternoon.\"\n14033,2014/02/27,\"I spent 26 talking to Layla, Olivia on various topics in the morning.\",\"I spent 26 talking to Layla, Olivia on various topics in the morning.\"\n14034,2014/02/27,I spent 9 talking to Kinsley on various topics in the early afternoon.,I spent 9 talking to Kinsley on various topics in the early afternoon.\n14035,2014/02/27,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n14036,2014/02/27,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n14037,2014/02/28,\"I bought some pineapples, apple juice, tea, sports drinks, pineapple juice, toilet paper, mouth wash from the grocery store. I saw Carter, Andrew, Kayden at the grocery store.\",\"I bought some pineapples, apple juice, tea, sports drinks, pineapple juice, toilet paper, mouth wash from the grocery store. I saw Carter, Andrew, Kayden at the grocery store.\"\n14038,2014/02/28,I did biking on 2014/02/28.,I did biking on 2014/02/28.\n14039,2014/02/28,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n14040,2014/02/28,I had lunch with Andrew. I ate fish and chips.,I had lunch with Andrew. I ate fish and chips.\n14041,2014/02/28,I had tacos for dinner with Carter,I had tacos for dinner with Carter\n14042,2014/02/28,\"I talked to Kinsley, Nora, Claire, Layla for 46 minutes late in the evening.\",\"I talked to Kinsley, Nora, Claire, Layla for 46 minutes late in the evening.\"\n14043,2014/02/28,\"I spent 8 talking to Eva, Nevaeh, Kinsley on various topics during lunch hours.\",\"I spent 8 talking to Eva, Nevaeh, Kinsley on various topics during lunch hours.\"\n14044,2014/02/28,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n14045,2014/02/28,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n14046,2014/03/01,\"I bought some bananas, peaches, sports drinks, shaving cream online.\",\"I bought some bananas, peaches, sports drinks, shaving cream online.\"\n14047,2014/03/01,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n14048,2014/03/01,I ate pasta for lunch.,I ate pasta for lunch.\n14049,2014/03/01,I prepare indian food for dinner.,I prepare indian food for dinner.\n14050,2014/03/01,I spent 37 talking to Rylee on various topics in the morning.,I spent 37 talking to Rylee on various topics in the morning.\n14051,2014/03/01,I talked to Eva for 6 minutes in the morning.,I talked to Eva for 6 minutes in the morning.\n14052,2014/03/01,I talked to Lydia for 18 minutes late in the evening.,I talked to Lydia for 18 minutes late in the evening.\n14053,2014/03/01,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n14054,2014/03/01,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n14055,2014/03/02,I did running on 2014/03/02.,I did running on 2014/03/02.\n14056,2014/03/02,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n14057,2014/03/02,I ate tacos for lunch.,I ate tacos for lunch.\n14058,2014/03/02,\"I had dinner with Emily, Andrew. I ate sandwich.\",\"I had dinner with Emily, Andrew. I ate sandwich.\"\n14059,2014/03/02,\"I spent 27 talking to Avery, Piper, Hazel on various topics in the early evening.\",\"I spent 27 talking to Avery, Piper, Hazel on various topics in the early evening.\"\n14060,2014/03/02,\"I talked to Avery, Olivia, Layla for 41 minutes in the late afternoon.\",\"I talked to Avery, Olivia, Layla for 41 minutes in the late afternoon.\"\n14061,2014/03/02,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n14062,2014/03/02,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n14063,2014/03/03,I went on a date with Landon on 2014/03/03 at a park,I went on a date with Landon on 2014/03/03 at a park\n14064,2014/03/03,I did HIIT on 2014/03/03.,I did HIIT on 2014/03/03.\n14065,2014/03/03,\"I had cereals for breakfast with Andrew, Emily, Kayden, Carter\",\"I had cereals for breakfast with Andrew, Emily, Kayden, Carter\"\n14066,2014/03/03,I ate a burger for lunch.,I ate a burger for lunch.\n14067,2014/03/03,\"I had indian food for dinner with Carter, Andrew, Emily\",\"I had indian food for dinner with Carter, Andrew, Emily\"\n14068,2014/03/03,\"I spent 39 talking to Nevaeh, Avery, Layla on various topics during lunch hours.\",\"I spent 39 talking to Nevaeh, Avery, Layla on various topics during lunch hours.\"\n14069,2014/03/03,\"I talked to Rylee, Hazel for 5 minutes during lunch hours.\",\"I talked to Rylee, Hazel for 5 minutes during lunch hours.\"\n14070,2014/03/03,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n14071,2014/03/03,I spent 29 minutes watching a tv series on TV today.,I spent 29 minutes watching a tv series on TV today.\n14072,2014/03/04,I did hiking on 2014/03/04.,I did hiking on 2014/03/04.\n14073,2014/03/04,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n14074,2014/03/04,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n14075,2014/03/04,I had dinner. I ate steak.,I had dinner. I ate steak.\n14076,2014/03/04,\"I talked to Lydia, Nora for 19 minutes in the morning.\",\"I talked to Lydia, Nora for 19 minutes in the morning.\"\n14077,2014/03/04,\"I spent 51 talking to Layla, Hazel, Lydia, Nevaeh on various topics in the late afternoon.\",\"I spent 51 talking to Layla, Hazel, Lydia, Nevaeh on various topics in the late afternoon.\"\n14078,2014/03/04,\"I talked to Eva, Kinsley, Nora for 31 minutes in the early afternoon.\",\"I talked to Eva, Kinsley, Nora for 31 minutes in the early afternoon.\"\n14079,2014/03/04,I spent 52 talking to Nora on various topics in the early afternoon.,I spent 52 talking to Nora on various topics in the early afternoon.\n14080,2014/03/04,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n14081,2014/03/04,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n14082,2014/03/05,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n14083,2014/03/05,\"I had fish and chips for lunch with Kayden, Emily, Carter\",\"I had fish and chips for lunch with Kayden, Emily, Carter\"\n14084,2014/03/05,\"I had dinner with Eva, Nevaeh, Nora, Hazel. I ate fish and chips.\",\"I had dinner with Eva, Nevaeh, Nora, Hazel. I ate fish and chips.\"\n14085,2014/03/05,\"I talked to Avery, Piper, Olivia, Layla for 31 minutes in the morning.\",\"I talked to Avery, Piper, Olivia, Layla for 31 minutes in the morning.\"\n14086,2014/03/05,\"I talked to Hazel, Piper, Piper for 25 minutes during lunch hours.\",\"I talked to Hazel, Piper, Piper for 25 minutes during lunch hours.\"\n14087,2014/03/05,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n14088,2014/03/05,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n14089,2014/03/06,\"I spent time gardening on 2014/03/06 with Andrew, Emily.\",\"I spent time gardening on 2014/03/06 with Andrew, Emily.\"\n14090,2014/03/06,I did biking on 2014/03/06.,I did biking on 2014/03/06.\n14091,2014/03/06,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n14092,2014/03/06,I ate indian food for lunch.,I ate indian food for lunch.\n14093,2014/03/06,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n14094,2014/03/06,I talked to Layla for 53 minutes late in the evening.,I talked to Layla for 53 minutes late in the evening.\n14095,2014/03/06,\"I spent 43 talking to Nevaeh, Avery, Nora, Eva on various topics in the morning.\",\"I spent 43 talking to Nevaeh, Avery, Nora, Eva on various topics in the morning.\"\n14096,2014/03/06,\"I talked to Claire, Olivia, Layla for 20 minutes in the morning.\",\"I talked to Claire, Olivia, Layla for 20 minutes in the morning.\"\n14097,2014/03/06,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n14098,2014/03/06,I watched a movie for 20 minutes on TV today.,I watched a movie for 20 minutes on TV today.\n14099,2014/03/07,\"I went grocery shopping. I bought some pineapples, soda, tea, and paper towel\",\"I went grocery shopping. I bought some pineapples, soda, tea, and paper towel\"\n14100,2014/03/07,I did swimming on 2014/03/07.,I did swimming on 2014/03/07.\n14101,2014/03/07,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n14102,2014/03/07,\"I had steak for lunch with Piper, Lydia, Nora, Layla, Nevaeh, Eva\",\"I had steak for lunch with Piper, Lydia, Nora, Layla, Nevaeh, Eva\"\n14103,2014/03/07,\"I had dinner with Carter, Kayden. I ate a burger.\",\"I had dinner with Carter, Kayden. I ate a burger.\"\n14104,2014/03/07,I spent 38 talking to Rylee on various topics in the morning.,I spent 38 talking to Rylee on various topics in the morning.\n14105,2014/03/07,\"I talked to Rylee, Olivia for 19 minutes during lunch hours.\",\"I talked to Rylee, Olivia for 19 minutes during lunch hours.\"\n14106,2014/03/07,\"I spent 22 talking to Olivia, Nora on various topics in the morning.\",\"I spent 22 talking to Olivia, Nora on various topics in the morning.\"\n14107,2014/03/07,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n14108,2014/03/07,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n14109,2014/03/08,\"I went grocery shopping with Lydia, Nevaeh, Eva, Claire, Kinsley, Avery, Rylee, Nora, Piper, Hazel, Piper, Olivia. I bought some apricots, blackberries, chocolate milk, pineapple juice, apple juice, and paper towel, shaving cream, facial wash\",\"I went grocery shopping with Lydia, Nevaeh, Eva, Claire, Kinsley, Avery, Rylee, Nora, Piper, Hazel, Piper, Olivia. I bought some apricots, blackberries, chocolate milk, pineapple juice, apple juice, and paper towel, shaving cream, facial wash\"\n14110,2014/03/08,I did hiking on 2014/03/08.,I did hiking on 2014/03/08.\n14111,2014/03/08,\"I had breakfast with Carter, Kayden, Andrew, Emily. I ate toast and cheese.\",\"I had breakfast with Carter, Kayden, Andrew, Emily. I ate toast and cheese.\"\n14112,2014/03/08,I ate chinese food for lunch.,I ate chinese food for lunch.\n14113,2014/03/08,I ate a burger for dinner.,I ate a burger for dinner.\n14114,2014/03/08,\"I spent 53 talking to Olivia, Piper, Lydia, Eva on various topics late in the evening.\",\"I spent 53 talking to Olivia, Piper, Lydia, Eva on various topics late in the evening.\"\n14115,2014/03/08,\"I spent 11 talking to Nevaeh, Nora on various topics in the late afternoon.\",\"I spent 11 talking to Nevaeh, Nora on various topics in the late afternoon.\"\n14116,2014/03/08,\"I spent 53 talking to Lydia, Avery on various topics in the morning.\",\"I spent 53 talking to Lydia, Avery on various topics in the morning.\"\n14117,2014/03/08,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n14118,2014/03/08,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n14119,2014/03/09,\"I was baking gluten-free apple rose tart on 2014/03/09 with Kayden, Carter, Andrew, Emily at my place\",\"I was baking gluten-free apple rose tart on 2014/03/09 with Kayden, Carter, Andrew, Emily at my place\"\n14120,2014/03/09,I really enjoyed yoga on 2014/03/09,I really enjoyed yoga on 2014/03/09\n14121,2014/03/09,I did weight lifting on 2014/03/09.,I did weight lifting on 2014/03/09.\n14122,2014/03/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n14123,2014/03/09,\"I had indian food for lunch with Willow, Benjamin, Avery\",\"I had indian food for lunch with Willow, Benjamin, Avery\"\n14124,2014/03/09,I prepare pasta for dinner.,I prepare pasta for dinner.\n14125,2014/03/09,I spent 26 talking to Nora on various topics in the morning.,I spent 26 talking to Nora on various topics in the morning.\n14126,2014/03/09,\"I spent 15 talking to Hazel, Avery, Nevaeh, Layla on various topics during lunch hours.\",\"I spent 15 talking to Hazel, Avery, Nevaeh, Layla on various topics during lunch hours.\"\n14127,2014/03/09,\"I talked to Nevaeh, Piper, Nora, Claire for 31 minutes during lunch hours.\",\"I talked to Nevaeh, Piper, Nora, Claire for 31 minutes during lunch hours.\"\n14128,2014/03/09,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n14129,2014/03/09,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n14130,2014/03/10,I did swimming on 2014/03/10.,I did swimming on 2014/03/10.\n14131,2014/03/10,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n14132,2014/03/10,I prepare steak for lunch.,I prepare steak for lunch.\n14133,2014/03/10,\"I had tacos for dinner with Benjamin, Jackson, Willow, Avery\",\"I had tacos for dinner with Benjamin, Jackson, Willow, Avery\"\n14134,2014/03/10,\"I spent 18 talking to Eva, Kinsley, Rylee on various topics in the early evening.\",\"I spent 18 talking to Eva, Kinsley, Rylee on various topics in the early evening.\"\n14135,2014/03/10,I spent 23 talking to Lydia on various topics during lunch hours.,I spent 23 talking to Lydia on various topics during lunch hours.\n14136,2014/03/10,\"I talked to Piper, Nora for 47 minutes during lunch hours.\",\"I talked to Piper, Nora for 47 minutes during lunch hours.\"\n14137,2014/03/10,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n14138,2014/03/10,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n14139,2014/03/11,I did hiking on 2014/03/11.,I did hiking on 2014/03/11.\n14140,2014/03/11,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n14141,2014/03/11,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n14142,2014/03/11,\"I had sandwich for dinner with Carter, Andrew, Emily\",\"I had sandwich for dinner with Carter, Andrew, Emily\"\n14143,2014/03/11,\"I talked to Kinsley, Layla, Hazel, Piper for 40 minutes in the morning.\",\"I talked to Kinsley, Layla, Hazel, Piper for 40 minutes in the morning.\"\n14144,2014/03/11,\"I spent 35 talking to Eva, Layla, Rylee on various topics late in the evening.\",\"I spent 35 talking to Eva, Layla, Rylee on various topics late in the evening.\"\n14145,2014/03/11,\"I talked to Piper, Hazel, Layla for 53 minutes late in the evening.\",\"I talked to Piper, Hazel, Layla for 53 minutes late in the evening.\"\n14146,2014/03/11,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n14147,2014/03/11,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n14148,2014/03/12,I did running on 2014/03/12.,I did running on 2014/03/12.\n14149,2014/03/12,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14150,2014/03/12,\"I had indian food for lunch with Jackson, Willow\",\"I had indian food for lunch with Jackson, Willow\"\n14151,2014/03/12,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n14152,2014/03/12,I spent 38 talking to Olivia on various topics in the early evening.,I spent 38 talking to Olivia on various topics in the early evening.\n14153,2014/03/12,I talked to Rylee for 7 minutes in the early afternoon.,I talked to Rylee for 7 minutes in the early afternoon.\n14154,2014/03/12,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n14155,2014/03/12,I watched a movie for 54 minutes on TV today.,I watched a movie for 54 minutes on TV today.\n14156,2014/03/13,I went on a date with Everly on 2014/03/13 at a coffee Shop,I went on a date with Everly on 2014/03/13 at a coffee Shop\n14157,2014/03/13,\"I went grocery shopping with Avery, Jackson, Benjamin, Willow. I bought some apricots, pineapples, cherres, strawberries, sports drinks, apple juice, coffee, mineral water, and toothpaste\",\"I went grocery shopping with Avery, Jackson, Benjamin, Willow. I bought some apricots, pineapples, cherres, strawberries, sports drinks, apple juice, coffee, mineral water, and toothpaste\"\n14158,2014/03/13,I did weight lifting on 2014/03/13.,I did weight lifting on 2014/03/13.\n14159,2014/03/13,\"I had breakfast with Benjamin, Jackson, Willow, Avery. I ate toast and cheese.\",\"I had breakfast with Benjamin, Jackson, Willow, Avery. I ate toast and cheese.\"\n14160,2014/03/13,\"I had indian food for lunch with Carter, Kayden, Andrew\",\"I had indian food for lunch with Carter, Kayden, Andrew\"\n14161,2014/03/13,\"I had steak for dinner with Carter, Andrew\",\"I had steak for dinner with Carter, Andrew\"\n14162,2014/03/13,\"I talked to Claire, Hazel for 52 minutes late in the evening.\",\"I talked to Claire, Hazel for 52 minutes late in the evening.\"\n14163,2014/03/13,\"I talked to Layla, Kinsley, Claire for 29 minutes in the late afternoon.\",\"I talked to Layla, Kinsley, Claire for 29 minutes in the late afternoon.\"\n14164,2014/03/13,\"I talked to Claire, Piper, Kinsley for 36 minutes in the morning.\",\"I talked to Claire, Piper, Kinsley for 36 minutes in the morning.\"\n14165,2014/03/13,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n14166,2014/03/13,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n14167,2014/03/14,I did swimming on 2014/03/14.,I did swimming on 2014/03/14.\n14168,2014/03/14,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n14169,2014/03/14,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n14170,2014/03/14,I prepare indian food for dinner.,I prepare indian food for dinner.\n14171,2014/03/14,\"I spent 19 talking to Layla, Nora on various topics in the early evening.\",\"I spent 19 talking to Layla, Nora on various topics in the early evening.\"\n14172,2014/03/14,\"I talked to Layla, Piper, Kinsley for 37 minutes in the late afternoon.\",\"I talked to Layla, Piper, Kinsley for 37 minutes in the late afternoon.\"\n14173,2014/03/14,\"I spent 5 talking to Nora, Piper, Eva on various topics during lunch hours.\",\"I spent 5 talking to Nora, Piper, Eva on various topics during lunch hours.\"\n14174,2014/03/14,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n14175,2014/03/14,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n14176,2014/03/15,I really enjoyed learning a language on 2014/03/15,I really enjoyed learning a language on 2014/03/15\n14177,2014/03/15,I did running on 2014/03/15.,I did running on 2014/03/15.\n14178,2014/03/15,\"I had breakfast with Nora, Piper, Olivia, Kinsley. I ate cereals.\",\"I had breakfast with Nora, Piper, Olivia, Kinsley. I ate cereals.\"\n14179,2014/03/15,I ate a burger for lunch.,I ate a burger for lunch.\n14180,2014/03/15,\"I had dinner with Carter, Andrew, Emily, Kayden. I ate tacos.\",\"I had dinner with Carter, Andrew, Emily, Kayden. I ate tacos.\"\n14181,2014/03/15,\"I talked to Avery, Nevaeh, Layla, Piper for 8 minutes in the late afternoon.\",\"I talked to Avery, Nevaeh, Layla, Piper for 8 minutes in the late afternoon.\"\n14182,2014/03/15,\"I spent 30 talking to Piper, Piper on various topics in the early evening.\",\"I spent 30 talking to Piper, Piper on various topics in the early evening.\"\n14183,2014/03/15,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n14184,2014/03/15,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n14185,2014/03/16,I went on a date with Natalia on 2014/03/16 at a coffee Shop,I went on a date with Natalia on 2014/03/16 at a coffee Shop\n14186,2014/03/16,I did swimming on 2014/03/16.,I did swimming on 2014/03/16.\n14187,2014/03/16,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n14188,2014/03/16,I ate chinese food for lunch.,I ate chinese food for lunch.\n14189,2014/03/16,I had dinner. I ate steak.,I had dinner. I ate steak.\n14190,2014/03/16,\"I spent 31 talking to Layla, Kinsley, Piper on various topics in the early afternoon.\",\"I spent 31 talking to Layla, Kinsley, Piper on various topics in the early afternoon.\"\n14191,2014/03/16,\"I spent 21 talking to Piper, Piper, Kinsley, Claire on various topics in the early evening.\",\"I spent 21 talking to Piper, Piper, Kinsley, Claire on various topics in the early evening.\"\n14192,2014/03/16,I talked to Kinsley for 6 minutes in the early afternoon.,I talked to Kinsley for 6 minutes in the early afternoon.\n14193,2014/03/16,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n14194,2014/03/16,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n14195,2014/03/17,\"I went grocery shopping. I bought some blueberries, bananas, oranges, nectarines, tea, and shampoo, conditioner, shaving cream, paper towel\",\"I went grocery shopping. I bought some blueberries, bananas, oranges, nectarines, tea, and shampoo, conditioner, shaving cream, paper towel\"\n14196,2014/03/17,I did running on 2014/03/17.,I did running on 2014/03/17.\n14197,2014/03/17,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n14198,2014/03/17,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n14199,2014/03/17,\"I had fish and chips for dinner with Benjamin, Jackson\",\"I had fish and chips for dinner with Benjamin, Jackson\"\n14200,2014/03/17,\"I talked to Avery, Hazel, Piper for 30 minutes late in the evening.\",\"I talked to Avery, Hazel, Piper for 30 minutes late in the evening.\"\n14201,2014/03/17,\"I talked to Rylee, Eva for 32 minutes during lunch hours.\",\"I talked to Rylee, Eva for 32 minutes during lunch hours.\"\n14202,2014/03/17,\"I spent 49 talking to Eva, Piper, Lydia, Olivia on various topics late in the evening.\",\"I spent 49 talking to Eva, Piper, Lydia, Olivia on various topics late in the evening.\"\n14203,2014/03/17,I spent 26 talking to Olivia on various topics in the morning.,I spent 26 talking to Olivia on various topics in the morning.\n14204,2014/03/17,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n14205,2014/03/17,I watched a documentary for 55 minutes on TV today.,I watched a documentary for 55 minutes on TV today.\n14206,2014/03/18,I did weight lifting on 2014/03/18.,I did weight lifting on 2014/03/18.\n14207,2014/03/18,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14208,2014/03/18,I prepare tacos for lunch.,I prepare tacos for lunch.\n14209,2014/03/18,I ate tacos for dinner.,I ate tacos for dinner.\n14210,2014/03/18,\"I spent 5 talking to Nevaeh, Piper, Piper, Avery on various topics in the early evening.\",\"I spent 5 talking to Nevaeh, Piper, Piper, Avery on various topics in the early evening.\"\n14211,2014/03/18,\"I talked to Piper, Kinsley, Olivia, Avery for 51 minutes during lunch hours.\",\"I talked to Piper, Kinsley, Olivia, Avery for 51 minutes during lunch hours.\"\n14212,2014/03/18,\"I spent 48 talking to Piper, Rylee, Avery on various topics late in the evening.\",\"I spent 48 talking to Piper, Rylee, Avery on various topics late in the evening.\"\n14213,2014/03/18,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n14214,2014/03/18,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n14215,2014/03/19,I did swimming on 2014/03/19.,I did swimming on 2014/03/19.\n14216,2014/03/19,\"I had breakfast with Jackson, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Jackson, Avery. I ate peanut-butter-jam.\"\n14217,2014/03/19,\"I had chinese food for lunch with Layla, Rylee\",\"I had chinese food for lunch with Layla, Rylee\"\n14218,2014/03/19,I ate steak for dinner.,I ate steak for dinner.\n14219,2014/03/19,\"I spent 17 talking to Hazel, Olivia, Eva on various topics in the late afternoon.\",\"I spent 17 talking to Hazel, Olivia, Eva on various topics in the late afternoon.\"\n14220,2014/03/19,\"I spent 8 talking to Rylee, Layla on various topics late in the evening.\",\"I spent 8 talking to Rylee, Layla on various topics late in the evening.\"\n14221,2014/03/19,\"I spent 41 talking to Nevaeh, Lydia on various topics in the early evening.\",\"I spent 41 talking to Nevaeh, Lydia on various topics in the early evening.\"\n14222,2014/03/19,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n14223,2014/03/19,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n14224,2014/03/20,I did weight lifting on 2014/03/20.,I did weight lifting on 2014/03/20.\n14225,2014/03/20,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14226,2014/03/20,\"I had indian food for lunch with Emily, Kayden, Andrew\",\"I had indian food for lunch with Emily, Kayden, Andrew\"\n14227,2014/03/20,\"I had steak for dinner with Jackson, Avery\",\"I had steak for dinner with Jackson, Avery\"\n14228,2014/03/20,\"I talked to Hazel, Kinsley, Avery for 51 minutes during lunch hours.\",\"I talked to Hazel, Kinsley, Avery for 51 minutes during lunch hours.\"\n14229,2014/03/20,\"I spent 49 talking to Eva, Rylee, Claire, Kinsley on various topics during lunch hours.\",\"I spent 49 talking to Eva, Rylee, Claire, Kinsley on various topics during lunch hours.\"\n14230,2014/03/20,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n14231,2014/03/20,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n14232,2014/03/21,\"I went grocery shopping. I bought some blueberries, apples, strawberries, bananas, orange juice, guava juice, chocolate milk, and body lotion, toilet paper, mouth wash, shaving cream\",\"I went grocery shopping. I bought some blueberries, apples, strawberries, bananas, orange juice, guava juice, chocolate milk, and body lotion, toilet paper, mouth wash, shaving cream\"\n14233,2014/03/21,I did HIIT on 2014/03/21.,I did HIIT on 2014/03/21.\n14234,2014/03/21,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14235,2014/03/21,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n14236,2014/03/21,I ate indian food for dinner.,I ate indian food for dinner.\n14237,2014/03/21,\"I talked to Olivia, Kinsley for 34 minutes late in the evening.\",\"I talked to Olivia, Kinsley for 34 minutes late in the evening.\"\n14238,2014/03/21,\"I talked to Hazel, Nora for 17 minutes in the morning.\",\"I talked to Hazel, Nora for 17 minutes in the morning.\"\n14239,2014/03/21,\"I talked to Eva, Layla for 45 minutes during lunch hours.\",\"I talked to Eva, Layla for 45 minutes during lunch hours.\"\n14240,2014/03/21,I talked to Avery for 10 minutes in the early afternoon.,I talked to Avery for 10 minutes in the early afternoon.\n14241,2014/03/21,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n14242,2014/03/21,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n14243,2014/03/22,\"I went grocery shopping. I bought some nectarines, apricots, clementines, blackberries, tea, and facial wash, conditioner, mouthwash\",\"I went grocery shopping. I bought some nectarines, apricots, clementines, blackberries, tea, and facial wash, conditioner, mouthwash\"\n14244,2014/03/22,I did hiking on 2014/03/22.,I did hiking on 2014/03/22.\n14245,2014/03/22,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n14246,2014/03/22,\"I had steak for lunch with Jackson, Avery\",\"I had steak for lunch with Jackson, Avery\"\n14247,2014/03/22,I had dinner with Kayden. I ate pasta.,I had dinner with Kayden. I ate pasta.\n14248,2014/03/22,\"I spent 20 talking to Avery, Lydia on various topics in the early afternoon.\",\"I spent 20 talking to Avery, Lydia on various topics in the early afternoon.\"\n14249,2014/03/22,I spent 7 talking to Olivia on various topics late in the evening.,I spent 7 talking to Olivia on various topics late in the evening.\n14250,2014/03/22,\"I talked to Nora, Piper for 21 minutes in the early afternoon.\",\"I talked to Nora, Piper for 21 minutes in the early afternoon.\"\n14251,2014/03/22,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n14252,2014/03/22,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n14253,2014/03/23,I did swimming on 2014/03/23.,I did swimming on 2014/03/23.\n14254,2014/03/23,\"I had eggs, sausages, and bread for breakfast with Kayden, Emily, Andrew\",\"I had eggs, sausages, and bread for breakfast with Kayden, Emily, Andrew\"\n14255,2014/03/23,I ate sandwich for lunch.,I ate sandwich for lunch.\n14256,2014/03/23,I had sandwich for dinner with Willow,I had sandwich for dinner with Willow\n14257,2014/03/23,\"I talked to Nevaeh, Olivia for 6 minutes in the early evening.\",\"I talked to Nevaeh, Olivia for 6 minutes in the early evening.\"\n14258,2014/03/23,\"I talked to Nora, Avery, Rylee for 14 minutes in the late afternoon.\",\"I talked to Nora, Avery, Rylee for 14 minutes in the late afternoon.\"\n14259,2014/03/23,\"I spent 40 talking to Eva, Piper, Kinsley on various topics late in the evening.\",\"I spent 40 talking to Eva, Piper, Kinsley on various topics late in the evening.\"\n14260,2014/03/23,\"I talked to Piper, Nora, Piper, Olivia for 44 minutes during lunch hours.\",\"I talked to Piper, Nora, Piper, Olivia for 44 minutes during lunch hours.\"\n14261,2014/03/23,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n14262,2014/03/23,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n14263,2014/03/24,\"I was cooking instant pot whole chicken, chinese chicken wings on 2014/03/24 with Andrew, Kayden, Carter at my place\",\"I was cooking instant pot whole chicken, chinese chicken wings on 2014/03/24 with Andrew, Kayden, Carter at my place\"\n14264,2014/03/24,I did HIIT on 2014/03/24.,I did HIIT on 2014/03/24.\n14265,2014/03/24,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n14266,2014/03/24,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n14267,2014/03/24,\"I had dinner with Avery, Benjamin, Jackson. I ate steak.\",\"I had dinner with Avery, Benjamin, Jackson. I ate steak.\"\n14268,2014/03/24,\"I spent 15 talking to Claire, Piper, Kinsley, Lydia on various topics in the early afternoon.\",\"I spent 15 talking to Claire, Piper, Kinsley, Lydia on various topics in the early afternoon.\"\n14269,2014/03/24,\"I talked to Kinsley, Avery, Olivia, Eva for 48 minutes in the early afternoon.\",\"I talked to Kinsley, Avery, Olivia, Eva for 48 minutes in the early afternoon.\"\n14270,2014/03/24,\"I talked to Layla, Nora, Rylee for 32 minutes in the morning.\",\"I talked to Layla, Nora, Rylee for 32 minutes in the morning.\"\n14271,2014/03/24,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n14272,2014/03/24,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n14273,2014/03/25,I went on a date with Ellie on 2014/03/25 at a coffee Shop,I went on a date with Ellie on 2014/03/25 at a coffee Shop\n14274,2014/03/25,I really enjoyed meditation on 2014/03/25,I really enjoyed meditation on 2014/03/25\n14275,2014/03/25,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n14276,2014/03/25,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n14277,2014/03/25,I prepare tacos for dinner.,I prepare tacos for dinner.\n14278,2014/03/25,\"I talked to Nevaeh, Lydia for 36 minutes late in the evening.\",\"I talked to Nevaeh, Lydia for 36 minutes late in the evening.\"\n14279,2014/03/25,\"I spent 30 talking to Nevaeh, Lydia, Kinsley, Layla on various topics late in the evening.\",\"I spent 30 talking to Nevaeh, Lydia, Kinsley, Layla on various topics late in the evening.\"\n14280,2014/03/25,\"I spent 22 talking to Layla, Nora, Piper on various topics during lunch hours.\",\"I spent 22 talking to Layla, Nora, Piper on various topics during lunch hours.\"\n14281,2014/03/25,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n14282,2014/03/25,I spent 24 minutes watching news on TV today.,I spent 24 minutes watching news on TV today.\n14283,2014/03/26,I did swimming on 2014/03/26.,I did swimming on 2014/03/26.\n14284,2014/03/26,\"I had oatmeal for breakfast with Willow, Avery\",\"I had oatmeal for breakfast with Willow, Avery\"\n14285,2014/03/26,\"I had lunch with Benjamin, Avery. I ate fish and chips.\",\"I had lunch with Benjamin, Avery. I ate fish and chips.\"\n14286,2014/03/26,I ate indian food for dinner.,I ate indian food for dinner.\n14287,2014/03/26,\"I talked to Lydia, Avery, Eva, Rylee for 12 minutes in the early evening.\",\"I talked to Lydia, Avery, Eva, Rylee for 12 minutes in the early evening.\"\n14288,2014/03/26,I talked to Claire for 30 minutes during lunch hours.,I talked to Claire for 30 minutes during lunch hours.\n14289,2014/03/26,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n14290,2014/03/26,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n14291,2014/03/27,I did biking on 2014/03/27.,I did biking on 2014/03/27.\n14292,2014/03/27,\"I had breakfast with Andrew, Kayden, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Kayden, Carter. I ate peanut-butter-jam.\"\n14293,2014/03/27,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n14294,2014/03/27,\"I had pasta for dinner with Willow, Avery, Jackson, Benjamin\",\"I had pasta for dinner with Willow, Avery, Jackson, Benjamin\"\n14295,2014/03/27,\"I spent 35 talking to Piper, Lydia, Kinsley on various topics in the early evening.\",\"I spent 35 talking to Piper, Lydia, Kinsley on various topics in the early evening.\"\n14296,2014/03/27,\"I spent 23 talking to Eva, Olivia, Hazel on various topics during lunch hours.\",\"I spent 23 talking to Eva, Olivia, Hazel on various topics during lunch hours.\"\n14297,2014/03/27,\"I spent 32 talking to Eva, Piper, Piper on various topics in the early afternoon.\",\"I spent 32 talking to Eva, Piper, Piper on various topics in the early afternoon.\"\n14298,2014/03/27,\"I talked to Claire, Layla, Hazel for 23 minutes in the early afternoon.\",\"I talked to Claire, Layla, Hazel for 23 minutes in the early afternoon.\"\n14299,2014/03/27,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n14300,2014/03/27,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n14301,2014/03/28,I really enjoyed working out on 2014/03/28,I really enjoyed working out on 2014/03/28\n14302,2014/03/28,I did swimming on 2014/03/28.,I did swimming on 2014/03/28.\n14303,2014/03/28,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n14304,2014/03/28,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n14305,2014/03/28,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n14306,2014/03/28,\"I spent 34 talking to Olivia, Avery, Layla, Hazel on various topics in the late afternoon.\",\"I spent 34 talking to Olivia, Avery, Layla, Hazel on various topics in the late afternoon.\"\n14307,2014/03/28,\"I talked to Rylee, Eva for 36 minutes in the morning.\",\"I talked to Rylee, Eva for 36 minutes in the morning.\"\n14308,2014/03/28,\"I spent 14 talking to Avery, Kinsley, Rylee, Olivia on various topics in the late afternoon.\",\"I spent 14 talking to Avery, Kinsley, Rylee, Olivia on various topics in the late afternoon.\"\n14309,2014/03/28,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n14310,2014/03/28,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n14311,2014/03/29,I did HIIT on 2014/03/29.,I did HIIT on 2014/03/29.\n14312,2014/03/29,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n14313,2014/03/29,\"I had pasta for lunch with Emily, Kayden, Andrew, Carter\",\"I had pasta for lunch with Emily, Kayden, Andrew, Carter\"\n14314,2014/03/29,\"I had pasta for dinner with Jackson, Avery, Benjamin, Willow\",\"I had pasta for dinner with Jackson, Avery, Benjamin, Willow\"\n14315,2014/03/29,I talked to Avery for 13 minutes in the late afternoon.,I talked to Avery for 13 minutes in the late afternoon.\n14316,2014/03/29,\"I spent 24 talking to Claire, Nora, Piper, Rylee on various topics in the late afternoon.\",\"I spent 24 talking to Claire, Nora, Piper, Rylee on various topics in the late afternoon.\"\n14317,2014/03/29,\"I spent 39 talking to Hazel, Nora on various topics late in the evening.\",\"I spent 39 talking to Hazel, Nora on various topics late in the evening.\"\n14318,2014/03/29,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n14319,2014/03/29,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n14320,2014/03/30,I did swimming on 2014/03/30.,I did swimming on 2014/03/30.\n14321,2014/03/30,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n14322,2014/03/30,\"I had tacos for lunch with Kayden, Emily, Andrew, Carter\",\"I had tacos for lunch with Kayden, Emily, Andrew, Carter\"\n14323,2014/03/30,\"I had dinner with Nevaeh, Layla, Piper, Avery, Kinsley, Claire. I ate a burger.\",\"I had dinner with Nevaeh, Layla, Piper, Avery, Kinsley, Claire. I ate a burger.\"\n14324,2014/03/30,I talked to Hazel for 16 minutes during lunch hours.,I talked to Hazel for 16 minutes during lunch hours.\n14325,2014/03/30,I talked to Nora for 43 minutes during lunch hours.,I talked to Nora for 43 minutes during lunch hours.\n14326,2014/03/30,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n14327,2014/03/30,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n14328,2014/03/31,\"I went grocery shopping with Andrew, Emily, Carter, Kayden. I bought some pears, apple juice, and facial wash, toothbrush\",\"I went grocery shopping with Andrew, Emily, Carter, Kayden. I bought some pears, apple juice, and facial wash, toothbrush\"\n14329,2014/03/31,I did weight lifting on 2014/03/31.,I did weight lifting on 2014/03/31.\n14330,2014/03/31,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n14331,2014/03/31,\"I had a burger for lunch with Nora, Eva, Avery, Rylee\",\"I had a burger for lunch with Nora, Eva, Avery, Rylee\"\n14332,2014/03/31,I had dinner with Emily. I ate indian food.,I had dinner with Emily. I ate indian food.\n14333,2014/03/31,\"I spent 12 talking to Piper, Avery on various topics in the late afternoon.\",\"I spent 12 talking to Piper, Avery on various topics in the late afternoon.\"\n14334,2014/03/31,\"I talked to Rylee, Piper, Piper, Kinsley for 13 minutes in the early afternoon.\",\"I talked to Rylee, Piper, Piper, Kinsley for 13 minutes in the early afternoon.\"\n14335,2014/03/31,\"I spent 47 talking to Piper, Piper on various topics in the early evening.\",\"I spent 47 talking to Piper, Piper on various topics in the early evening.\"\n14336,2014/03/31,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n14337,2014/03/31,I spent 49 minutes watching a documentary on TV today.,I spent 49 minutes watching a documentary on TV today.\n14338,2014/04/01,I did HIIT on 2014/04/01.,I did HIIT on 2014/04/01.\n14339,2014/04/01,\"I had breakfast with Nevaeh, Rylee, Kinsley, Piper, Eva, Piper, Layla, Olivia, Avery, Nora. I ate oatmeal.\",\"I had breakfast with Nevaeh, Rylee, Kinsley, Piper, Eva, Piper, Layla, Olivia, Avery, Nora. I ate oatmeal.\"\n14340,2014/04/01,\"I had lunch with Jackson, Benjamin, Willow, Avery. I ate sandwich.\",\"I had lunch with Jackson, Benjamin, Willow, Avery. I ate sandwich.\"\n14341,2014/04/01,\"I had dinner with Emily, Kayden, Carter, Andrew. I ate tacos.\",\"I had dinner with Emily, Kayden, Carter, Andrew. I ate tacos.\"\n14342,2014/04/01,\"I spent 10 talking to Nevaeh, Layla, Nora, Hazel on various topics during lunch hours.\",\"I spent 10 talking to Nevaeh, Layla, Nora, Hazel on various topics during lunch hours.\"\n14343,2014/04/01,I spent 11 talking to Eva on various topics in the morning.,I spent 11 talking to Eva on various topics in the morning.\n14344,2014/04/01,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n14345,2014/04/01,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n14346,2014/04/02,I did weight lifting on 2014/04/02.,I did weight lifting on 2014/04/02.\n14347,2014/04/02,\"I had breakfast with Piper, Claire, Hazel, Kinsley, Nevaeh, Nora, Eva, Avery, Rylee, Lydia. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Claire, Hazel, Kinsley, Nevaeh, Nora, Eva, Avery, Rylee, Lydia. I ate eggs, sausages, and bread.\"\n14348,2014/04/02,I had lunch with Kayden. I ate sushi.,I had lunch with Kayden. I ate sushi.\n14349,2014/04/02,I ate tacos for dinner.,I ate tacos for dinner.\n14350,2014/04/02,\"I talked to Claire, Lydia, Avery, Piper for 24 minutes late in the evening.\",\"I talked to Claire, Lydia, Avery, Piper for 24 minutes late in the evening.\"\n14351,2014/04/02,\"I talked to Eva, Piper, Lydia, Claire for 18 minutes late in the evening.\",\"I talked to Eva, Piper, Lydia, Claire for 18 minutes late in the evening.\"\n14352,2014/04/02,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n14353,2014/04/02,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n14354,2014/04/03,I did weight lifting on 2014/04/03.,I did weight lifting on 2014/04/03.\n14355,2014/04/03,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n14356,2014/04/03,\"I had lunch with Claire, Nora. I ate steak.\",\"I had lunch with Claire, Nora. I ate steak.\"\n14357,2014/04/03,\"I had dinner with Andrew, Emily, Kayden, Carter. I ate fish and chips.\",\"I had dinner with Andrew, Emily, Kayden, Carter. I ate fish and chips.\"\n14358,2014/04/03,I spent 50 talking to Olivia on various topics late in the evening.,I spent 50 talking to Olivia on various topics late in the evening.\n14359,2014/04/03,I talked to Claire for 6 minutes in the early afternoon.,I talked to Claire for 6 minutes in the early afternoon.\n14360,2014/04/03,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n14361,2014/04/03,I spent 29 minutes watching a movie on TV today.,I spent 29 minutes watching a movie on TV today.\n14362,2014/04/04,I did biking on 2014/04/04.,I did biking on 2014/04/04.\n14363,2014/04/04,I had toast and cheese for breakfast with Benjamin,I had toast and cheese for breakfast with Benjamin\n14364,2014/04/04,\"I had sandwich for lunch with Carter, Kayden\",\"I had sandwich for lunch with Carter, Kayden\"\n14365,2014/04/04,I had dinner. I ate steak.,I had dinner. I ate steak.\n14366,2014/04/04,\"I talked to Piper, Kinsley for 17 minutes in the morning.\",\"I talked to Piper, Kinsley for 17 minutes in the morning.\"\n14367,2014/04/04,\"I talked to Piper, Nora for 10 minutes late in the evening.\",\"I talked to Piper, Nora for 10 minutes late in the evening.\"\n14368,2014/04/04,\"I spent 30 talking to Rylee, Kinsley on various topics in the early afternoon.\",\"I spent 30 talking to Rylee, Kinsley on various topics in the early afternoon.\"\n14369,2014/04/04,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n14370,2014/04/04,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n14371,2014/04/05,I did HIIT on 2014/04/05.,I did HIIT on 2014/04/05.\n14372,2014/04/05,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n14373,2014/04/05,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n14374,2014/04/05,I prepare tacos for dinner.,I prepare tacos for dinner.\n14375,2014/04/05,\"I talked to Olivia, Hazel for 5 minutes in the early evening.\",\"I talked to Olivia, Hazel for 5 minutes in the early evening.\"\n14376,2014/04/05,\"I spent 11 talking to Claire, Olivia, Layla on various topics during lunch hours.\",\"I spent 11 talking to Claire, Olivia, Layla on various topics during lunch hours.\"\n14377,2014/04/05,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n14378,2014/04/05,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n14379,2014/04/06,I went on a date with Jane on 2014/04/06 at a park,I went on a date with Jane on 2014/04/06 at a park\n14380,2014/04/06,I did biking on 2014/04/06.,I did biking on 2014/04/06.\n14381,2014/04/06,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n14382,2014/04/06,I prepare pasta for lunch.,I prepare pasta for lunch.\n14383,2014/04/06,I ate steak for dinner.,I ate steak for dinner.\n14384,2014/04/06,\"I spent 55 talking to Nevaeh, Avery, Hazel, Kinsley on various topics in the early evening.\",\"I spent 55 talking to Nevaeh, Avery, Hazel, Kinsley on various topics in the early evening.\"\n14385,2014/04/06,I spent 46 talking to Piper on various topics in the morning.,I spent 46 talking to Piper on various topics in the morning.\n14386,2014/04/06,\"I talked to Piper, Avery, Piper, Rylee for 39 minutes during lunch hours.\",\"I talked to Piper, Avery, Piper, Rylee for 39 minutes during lunch hours.\"\n14387,2014/04/06,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n14388,2014/04/06,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n14389,2014/04/07,\"I really enjoyed cooking macaroni and cheese on 2014/04/07 with Layla, Kinsley at my place\",\"I really enjoyed cooking macaroni and cheese on 2014/04/07 with Layla, Kinsley at my place\"\n14390,2014/04/07,I did running on 2014/04/07.,I did running on 2014/04/07.\n14391,2014/04/07,\"I had breakfast with Carter, Kayden, Emily, Andrew. I ate cereals.\",\"I had breakfast with Carter, Kayden, Emily, Andrew. I ate cereals.\"\n14392,2014/04/07,I ate sushi for lunch.,I ate sushi for lunch.\n14393,2014/04/07,\"I had dinner with Piper, Piper, Avery, Eva, Rylee. I ate sandwich.\",\"I had dinner with Piper, Piper, Avery, Eva, Rylee. I ate sandwich.\"\n14394,2014/04/07,I talked to Kinsley for 37 minutes in the early afternoon.,I talked to Kinsley for 37 minutes in the early afternoon.\n14395,2014/04/07,\"I spent 5 talking to Lydia, Layla on various topics late in the evening.\",\"I spent 5 talking to Lydia, Layla on various topics late in the evening.\"\n14396,2014/04/07,I talked to Eva for 22 minutes in the early evening.,I talked to Eva for 22 minutes in the early evening.\n14397,2014/04/07,\"I spent 31 talking to Claire, Piper, Olivia on various topics in the early evening.\",\"I spent 31 talking to Claire, Piper, Olivia on various topics in the early evening.\"\n14398,2014/04/07,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n14399,2014/04/07,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n14400,2014/04/08,I did running on 2014/04/08.,I did running on 2014/04/08.\n14401,2014/04/08,\"I had breakfast with Emily, Andrew. I ate cereals.\",\"I had breakfast with Emily, Andrew. I ate cereals.\"\n14402,2014/04/08,I prepare sushi for lunch.,I prepare sushi for lunch.\n14403,2014/04/08,\"I had dinner with Piper, Layla, Avery. I ate a burger.\",\"I had dinner with Piper, Layla, Avery. I ate a burger.\"\n14404,2014/04/08,\"I talked to Eva, Hazel, Kinsley, Claire for 13 minutes during lunch hours.\",\"I talked to Eva, Hazel, Kinsley, Claire for 13 minutes during lunch hours.\"\n14405,2014/04/08,\"I spent 12 talking to Layla, Eva, Claire on various topics in the morning.\",\"I spent 12 talking to Layla, Eva, Claire on various topics in the morning.\"\n14406,2014/04/08,\"I talked to Nevaeh, Claire for 48 minutes during lunch hours.\",\"I talked to Nevaeh, Claire for 48 minutes during lunch hours.\"\n14407,2014/04/08,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n14408,2014/04/08,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n14409,2014/04/09,I did HIIT on 2014/04/09.,I did HIIT on 2014/04/09.\n14410,2014/04/09,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14411,2014/04/09,\"I had steak for lunch with Carter, Kayden, Andrew, Emily\",\"I had steak for lunch with Carter, Kayden, Andrew, Emily\"\n14412,2014/04/09,I prepare pasta for dinner.,I prepare pasta for dinner.\n14413,2014/04/09,\"I talked to Rylee, Nora, Piper for 12 minutes in the early evening.\",\"I talked to Rylee, Nora, Piper for 12 minutes in the early evening.\"\n14414,2014/04/09,\"I spent 31 talking to Claire, Piper on various topics in the morning.\",\"I spent 31 talking to Claire, Piper on various topics in the morning.\"\n14415,2014/04/09,I spent 7 talking to Rylee on various topics in the early evening.,I spent 7 talking to Rylee on various topics in the early evening.\n14416,2014/04/09,I spent 34 talking to Nora on various topics in the morning.,I spent 34 talking to Nora on various topics in the morning.\n14417,2014/04/09,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n14418,2014/04/09,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n14419,2014/04/10,\"I bought some blueberries, nectarines, soda, orange juice, mineral water, tea, body lotion, toothbrush, mouth wash from the grocery store. I saw Andrew, Emily at the grocery store.\",\"I bought some blueberries, nectarines, soda, orange juice, mineral water, tea, body lotion, toothbrush, mouth wash from the grocery store. I saw Andrew, Emily at the grocery store.\"\n14420,2014/04/10,I did hiking on 2014/04/10.,I did hiking on 2014/04/10.\n14421,2014/04/10,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n14422,2014/04/10,\"I had lunch with Olivia, Lydia, Piper, Layla, Nora, Kinsley, Eva, Nevaeh, Rylee, Claire. I ate a burger.\",\"I had lunch with Olivia, Lydia, Piper, Layla, Nora, Kinsley, Eva, Nevaeh, Rylee, Claire. I ate a burger.\"\n14423,2014/04/10,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n14424,2014/04/10,\"I spent 6 talking to Eva, Lydia, Rylee, Olivia on various topics in the early afternoon.\",\"I spent 6 talking to Eva, Lydia, Rylee, Olivia on various topics in the early afternoon.\"\n14425,2014/04/10,\"I spent 36 talking to Piper, Piper, Nora, Claire on various topics in the early afternoon.\",\"I spent 36 talking to Piper, Piper, Nora, Claire on various topics in the early afternoon.\"\n14426,2014/04/10,I spent 28 talking to Piper on various topics late in the evening.,I spent 28 talking to Piper on various topics late in the evening.\n14427,2014/04/10,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n14428,2014/04/10,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n14429,2014/04/11,\"On 2014/04/11, I took Quinn on a date to a coffee Shop\",\"On 2014/04/11, I took Quinn on a date to a coffee Shop\"\n14430,2014/04/11,I did running on 2014/04/11.,I did running on 2014/04/11.\n14431,2014/04/11,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n14432,2014/04/11,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n14433,2014/04/11,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n14434,2014/04/11,\"I spent 12 talking to Piper, Rylee, Eva, Avery on various topics during lunch hours.\",\"I spent 12 talking to Piper, Rylee, Eva, Avery on various topics during lunch hours.\"\n14435,2014/04/11,\"I talked to Layla, Rylee for 46 minutes in the early afternoon.\",\"I talked to Layla, Rylee for 46 minutes in the early afternoon.\"\n14436,2014/04/11,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n14437,2014/04/11,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n14438,2014/04/12,I really enjoyed meditation on 2014/04/12,I really enjoyed meditation on 2014/04/12\n14439,2014/04/12,\"I went grocery shopping. I bought some pineapples, peaches, mangos, watermelons, pineapple juice, and body lotion\",\"I went grocery shopping. I bought some pineapples, peaches, mangos, watermelons, pineapple juice, and body lotion\"\n14440,2014/04/12,I did running on 2014/04/12.,I did running on 2014/04/12.\n14441,2014/04/12,\"I had peanut-butter-jam for breakfast with Eva, Piper\",\"I had peanut-butter-jam for breakfast with Eva, Piper\"\n14442,2014/04/12,\"I had lunch with Benjamin, Willow, Jackson, Avery. I ate fish and chips.\",\"I had lunch with Benjamin, Willow, Jackson, Avery. I ate fish and chips.\"\n14443,2014/04/12,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n14444,2014/04/12,I talked to Olivia for 16 minutes in the early evening.,I talked to Olivia for 16 minutes in the early evening.\n14445,2014/04/12,\"I spent 5 talking to Piper, Claire, Layla on various topics in the late afternoon.\",\"I spent 5 talking to Piper, Claire, Layla on various topics in the late afternoon.\"\n14446,2014/04/12,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n14447,2014/04/12,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n14448,2014/04/13,I did HIIT on 2014/04/13.,I did HIIT on 2014/04/13.\n14449,2014/04/13,\"I had breakfast with Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Willow. I ate eggs, sausages, and bread.\"\n14450,2014/04/13,I prepare a burger for lunch.,I prepare a burger for lunch.\n14451,2014/04/13,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n14452,2014/04/13,\"I talked to Olivia, Avery, Claire for 28 minutes in the early evening.\",\"I talked to Olivia, Avery, Claire for 28 minutes in the early evening.\"\n14453,2014/04/13,\"I talked to Nora, Lydia, Rylee, Claire for 53 minutes in the early evening.\",\"I talked to Nora, Lydia, Rylee, Claire for 53 minutes in the early evening.\"\n14454,2014/04/13,\"I talked to Nora, Olivia for 10 minutes late in the evening.\",\"I talked to Nora, Olivia for 10 minutes late in the evening.\"\n14455,2014/04/13,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n14456,2014/04/13,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n14457,2014/04/14,I went on a date with Mia on 2014/04/14 at a boba shop,I went on a date with Mia on 2014/04/14 at a boba shop\n14458,2014/04/14,I did hiking on 2014/04/14.,I did hiking on 2014/04/14.\n14459,2014/04/14,I ate cereals for breakfast.,I ate cereals for breakfast.\n14460,2014/04/14,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n14461,2014/04/14,I ate sandwich for dinner.,I ate sandwich for dinner.\n14462,2014/04/14,\"I talked to Avery, Eva for 13 minutes late in the evening.\",\"I talked to Avery, Eva for 13 minutes late in the evening.\"\n14463,2014/04/14,I talked to Kinsley for 25 minutes in the morning.,I talked to Kinsley for 25 minutes in the morning.\n14464,2014/04/14,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n14465,2014/04/14,I spent 31 minutes watching a tv series on TV today.,I spent 31 minutes watching a tv series on TV today.\n14466,2014/04/15,I did weight lifting on 2014/04/15.,I did weight lifting on 2014/04/15.\n14467,2014/04/15,\"I had peanut-butter-jam for breakfast with Kayden, Emily, Andrew, Carter\",\"I had peanut-butter-jam for breakfast with Kayden, Emily, Andrew, Carter\"\n14468,2014/04/15,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n14469,2014/04/15,\"I had chinese food for dinner with Claire, Rylee\",\"I had chinese food for dinner with Claire, Rylee\"\n14470,2014/04/15,\"I talked to Eva, Olivia for 9 minutes late in the evening.\",\"I talked to Eva, Olivia for 9 minutes late in the evening.\"\n14471,2014/04/15,\"I talked to Hazel, Piper for 46 minutes in the late afternoon.\",\"I talked to Hazel, Piper for 46 minutes in the late afternoon.\"\n14472,2014/04/15,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n14473,2014/04/15,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n14474,2014/04/16,I did HIIT on 2014/04/16.,I did HIIT on 2014/04/16.\n14475,2014/04/16,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14476,2014/04/16,I ate pasta for lunch.,I ate pasta for lunch.\n14477,2014/04/16,\"I had pasta for dinner with Lydia, Nevaeh, Claire\",\"I had pasta for dinner with Lydia, Nevaeh, Claire\"\n14478,2014/04/16,\"I talked to Avery, Claire, Rylee, Nevaeh for 10 minutes during lunch hours.\",\"I talked to Avery, Claire, Rylee, Nevaeh for 10 minutes during lunch hours.\"\n14479,2014/04/16,\"I talked to Nora, Olivia for 19 minutes in the late afternoon.\",\"I talked to Nora, Olivia for 19 minutes in the late afternoon.\"\n14480,2014/04/16,\"I spent 28 talking to Nevaeh, Olivia, Avery, Lydia on various topics late in the evening.\",\"I spent 28 talking to Nevaeh, Olivia, Avery, Lydia on various topics late in the evening.\"\n14481,2014/04/16,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n14482,2014/04/16,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n14483,2014/04/17,I went on a date with Gabriel on 2014/04/17 at a coffee Shop,I went on a date with Gabriel on 2014/04/17 at a coffee Shop\n14484,2014/04/17,I really enjoyed meditation on 2014/04/17,I really enjoyed meditation on 2014/04/17\n14485,2014/04/17,I did hiking on 2014/04/17.,I did hiking on 2014/04/17.\n14486,2014/04/17,\"I had breakfast with Avery, Benjamin, Willow. I ate toast and cheese.\",\"I had breakfast with Avery, Benjamin, Willow. I ate toast and cheese.\"\n14487,2014/04/17,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n14488,2014/04/17,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n14489,2014/04/17,\"I talked to Kinsley, Nora, Eva for 14 minutes in the late afternoon.\",\"I talked to Kinsley, Nora, Eva for 14 minutes in the late afternoon.\"\n14490,2014/04/17,I talked to Layla for 47 minutes in the early evening.,I talked to Layla for 47 minutes in the early evening.\n14491,2014/04/17,\"I talked to Olivia, Hazel, Layla, Piper for 40 minutes in the early evening.\",\"I talked to Olivia, Hazel, Layla, Piper for 40 minutes in the early evening.\"\n14492,2014/04/17,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n14493,2014/04/17,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n14494,2014/04/18,I did running on 2014/04/18.,I did running on 2014/04/18.\n14495,2014/04/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n14496,2014/04/18,\"I had lunch with Jackson, Avery. I ate tacos.\",\"I had lunch with Jackson, Avery. I ate tacos.\"\n14497,2014/04/18,I ate sushi for dinner.,I ate sushi for dinner.\n14498,2014/04/18,\"I spent 8 talking to Olivia, Piper, Rylee, Kinsley on various topics in the morning.\",\"I spent 8 talking to Olivia, Piper, Rylee, Kinsley on various topics in the morning.\"\n14499,2014/04/18,\"I talked to Avery, Kinsley, Hazel, Piper for 39 minutes in the late afternoon.\",\"I talked to Avery, Kinsley, Hazel, Piper for 39 minutes in the late afternoon.\"\n14500,2014/04/18,\"I talked to Nevaeh, Claire, Layla for 29 minutes late in the evening.\",\"I talked to Nevaeh, Claire, Layla for 29 minutes late in the evening.\"\n14501,2014/04/18,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n14502,2014/04/18,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n14503,2014/04/19,\"I had cereals for breakfast with Emily, Carter, Kayden\",\"I had cereals for breakfast with Emily, Carter, Kayden\"\n14504,2014/04/19,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n14505,2014/04/19,\"I had dinner with Carter, Andrew, Kayden. I ate fish and chips.\",\"I had dinner with Carter, Andrew, Kayden. I ate fish and chips.\"\n14506,2014/04/19,\"I talked to Piper, Nora, Kinsley for 28 minutes late in the evening.\",\"I talked to Piper, Nora, Kinsley for 28 minutes late in the evening.\"\n14507,2014/04/19,I talked to Kinsley for 7 minutes in the early afternoon.,I talked to Kinsley for 7 minutes in the early afternoon.\n14508,2014/04/19,\"I talked to Eva, Nora for 47 minutes in the early afternoon.\",\"I talked to Eva, Nora for 47 minutes in the early afternoon.\"\n14509,2014/04/19,\"I spent 9 talking to Avery, Claire on various topics in the morning.\",\"I spent 9 talking to Avery, Claire on various topics in the morning.\"\n14510,2014/04/19,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n14511,2014/04/19,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n14512,2014/04/20,\"I spent time meditation on 2014/04/20 with Carter, Emily, Andrew.\",\"I spent time meditation on 2014/04/20 with Carter, Emily, Andrew.\"\n14513,2014/04/20,I did biking on 2014/04/20.,I did biking on 2014/04/20.\n14514,2014/04/20,\"I had toast and cheese for breakfast with Nevaeh, Piper, Nora, Layla, Rylee, Olivia, Avery\",\"I had toast and cheese for breakfast with Nevaeh, Piper, Nora, Layla, Rylee, Olivia, Avery\"\n14515,2014/04/20,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n14516,2014/04/20,\"I had dinner with Emily, Andrew, Carter, Kayden. I ate chinese food.\",\"I had dinner with Emily, Andrew, Carter, Kayden. I ate chinese food.\"\n14517,2014/04/20,\"I spent 25 talking to Piper, Olivia, Layla, Nora on various topics in the early evening.\",\"I spent 25 talking to Piper, Olivia, Layla, Nora on various topics in the early evening.\"\n14518,2014/04/20,\"I talked to Nevaeh, Layla, Eva for 36 minutes in the early afternoon.\",\"I talked to Nevaeh, Layla, Eva for 36 minutes in the early afternoon.\"\n14519,2014/04/20,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n14520,2014/04/20,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n14521,2014/04/21,\"I went grocery shopping. I bought some mangos, raspberries, oranges, bananas, coffee, mineral water, and paper towel\",\"I went grocery shopping. I bought some mangos, raspberries, oranges, bananas, coffee, mineral water, and paper towel\"\n14522,2014/04/21,I did running on 2014/04/21.,I did running on 2014/04/21.\n14523,2014/04/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n14524,2014/04/21,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n14525,2014/04/21,\"I had indian food for dinner with Willow, Benjamin, Jackson, Avery\",\"I had indian food for dinner with Willow, Benjamin, Jackson, Avery\"\n14526,2014/04/21,\"I spent 30 talking to Lydia, Avery, Piper, Nora on various topics in the morning.\",\"I spent 30 talking to Lydia, Avery, Piper, Nora on various topics in the morning.\"\n14527,2014/04/21,I talked to Kinsley for 53 minutes during lunch hours.,I talked to Kinsley for 53 minutes during lunch hours.\n14528,2014/04/21,\"I talked to Olivia, Kinsley for 24 minutes in the early afternoon.\",\"I talked to Olivia, Kinsley for 24 minutes in the early afternoon.\"\n14529,2014/04/21,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n14530,2014/04/21,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n14531,2014/04/22,I did running on 2014/04/22.,I did running on 2014/04/22.\n14532,2014/04/22,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n14533,2014/04/22,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n14534,2014/04/22,I had sushi for dinner with Andrew,I had sushi for dinner with Andrew\n14535,2014/04/22,\"I talked to Piper, Kinsley for 21 minutes in the late afternoon.\",\"I talked to Piper, Kinsley for 21 minutes in the late afternoon.\"\n14536,2014/04/22,\"I talked to Eva, Nevaeh for 37 minutes in the early evening.\",\"I talked to Eva, Nevaeh for 37 minutes in the early evening.\"\n14537,2014/04/22,I talked to Eva for 10 minutes in the late afternoon.,I talked to Eva for 10 minutes in the late afternoon.\n14538,2014/04/22,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n14539,2014/04/22,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n14540,2014/04/23,I did HIIT on 2014/04/23.,I did HIIT on 2014/04/23.\n14541,2014/04/23,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n14542,2014/04/23,\"I had steak for lunch with Avery, Layla, Piper\",\"I had steak for lunch with Avery, Layla, Piper\"\n14543,2014/04/23,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n14544,2014/04/23,\"I talked to Layla, Eva for 38 minutes in the early evening.\",\"I talked to Layla, Eva for 38 minutes in the early evening.\"\n14545,2014/04/23,\"I spent 49 talking to Kinsley, Olivia, Avery on various topics in the late afternoon.\",\"I spent 49 talking to Kinsley, Olivia, Avery on various topics in the late afternoon.\"\n14546,2014/04/23,\"I spent 25 talking to Layla, Eva, Kinsley, Avery on various topics in the early evening.\",\"I spent 25 talking to Layla, Eva, Kinsley, Avery on various topics in the early evening.\"\n14547,2014/04/23,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n14548,2014/04/23,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n14549,2014/04/24,I did weight lifting on 2014/04/24.,I did weight lifting on 2014/04/24.\n14550,2014/04/24,\"I had toast and cheese for breakfast with Emily, Kayden\",\"I had toast and cheese for breakfast with Emily, Kayden\"\n14551,2014/04/24,\"I had pasta for lunch with Carter, Kayden\",\"I had pasta for lunch with Carter, Kayden\"\n14552,2014/04/24,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n14553,2014/04/24,\"I talked to Avery, Piper for 17 minutes in the morning.\",\"I talked to Avery, Piper for 17 minutes in the morning.\"\n14554,2014/04/24,\"I spent 29 talking to Rylee, Avery, Kinsley on various topics in the early evening.\",\"I spent 29 talking to Rylee, Avery, Kinsley on various topics in the early evening.\"\n14555,2014/04/24,\"I spent 13 talking to Olivia, Layla on various topics late in the evening.\",\"I spent 13 talking to Olivia, Layla on various topics late in the evening.\"\n14556,2014/04/24,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n14557,2014/04/24,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n14558,2014/04/25,\"On 2014/04/25, I took Victoria on a date to a coffee Shop\",\"On 2014/04/25, I took Victoria on a date to a coffee Shop\"\n14559,2014/04/25,\"I spent time learning a language on 2014/04/25 with Andrew, Emily, Carter.\",\"I spent time learning a language on 2014/04/25 with Andrew, Emily, Carter.\"\n14560,2014/04/25,I did swimming on 2014/04/25.,I did swimming on 2014/04/25.\n14561,2014/04/25,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n14562,2014/04/25,\"I had lunch with Rylee, Lydia, Eva. I ate sushi.\",\"I had lunch with Rylee, Lydia, Eva. I ate sushi.\"\n14563,2014/04/25,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n14564,2014/04/25,\"I talked to Olivia, Piper for 50 minutes in the early evening.\",\"I talked to Olivia, Piper for 50 minutes in the early evening.\"\n14565,2014/04/25,\"I spent 31 talking to Lydia, Nevaeh, Piper on various topics in the early evening.\",\"I spent 31 talking to Lydia, Nevaeh, Piper on various topics in the early evening.\"\n14566,2014/04/25,\"I spent 22 talking to Kinsley, Layla, Rylee on various topics in the early afternoon.\",\"I spent 22 talking to Kinsley, Layla, Rylee on various topics in the early afternoon.\"\n14567,2014/04/25,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n14568,2014/04/25,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n14569,2014/04/26,I did HIIT on 2014/04/26.,I did HIIT on 2014/04/26.\n14570,2014/04/26,\"I had breakfast with Emily, Andrew. I ate pancakes.\",\"I had breakfast with Emily, Andrew. I ate pancakes.\"\n14571,2014/04/26,\"I had sandwich for lunch with Emily, Andrew, Carter, Kayden\",\"I had sandwich for lunch with Emily, Andrew, Carter, Kayden\"\n14572,2014/04/26,\"I had dinner with Lydia, Avery, Eva, Piper, Rylee, Claire, Nevaeh. I ate fish and chips.\",\"I had dinner with Lydia, Avery, Eva, Piper, Rylee, Claire, Nevaeh. I ate fish and chips.\"\n14573,2014/04/26,\"I spent 28 talking to Avery, Layla, Kinsley, Nora on various topics late in the evening.\",\"I spent 28 talking to Avery, Layla, Kinsley, Nora on various topics late in the evening.\"\n14574,2014/04/26,I talked to Piper for 52 minutes in the early evening.,I talked to Piper for 52 minutes in the early evening.\n14575,2014/04/26,\"I spent 19 talking to Olivia, Lydia, Nora on various topics in the late afternoon.\",\"I spent 19 talking to Olivia, Lydia, Nora on various topics in the late afternoon.\"\n14576,2014/04/26,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n14577,2014/04/26,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n14578,2014/04/27,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n14579,2014/04/27,\"I had lunch with Olivia, Nora, Rylee, Piper, Eva, Hazel, Claire, Nevaeh, Avery, Lydia, Layla, Kinsley, Piper. I ate indian food.\",\"I had lunch with Olivia, Nora, Rylee, Piper, Eva, Hazel, Claire, Nevaeh, Avery, Lydia, Layla, Kinsley, Piper. I ate indian food.\"\n14580,2014/04/27,I had dinner with Kayden. I ate steak.,I had dinner with Kayden. I ate steak.\n14581,2014/04/27,I talked to Hazel for 35 minutes late in the evening.,I talked to Hazel for 35 minutes late in the evening.\n14582,2014/04/27,\"I talked to Nora, Claire, Kinsley for 9 minutes in the morning.\",\"I talked to Nora, Claire, Kinsley for 9 minutes in the morning.\"\n14583,2014/04/27,\"I talked to Claire, Lydia, Kinsley for 6 minutes in the early evening.\",\"I talked to Claire, Lydia, Kinsley for 6 minutes in the early evening.\"\n14584,2014/04/27,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n14585,2014/04/27,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n14586,2014/04/28,I did swimming on 2014/04/28.,I did swimming on 2014/04/28.\n14587,2014/04/28,\"I had breakfast with Lydia, Hazel, Piper, Layla, Piper, Nora, Avery, Claire, Nevaeh, Olivia, Eva. I ate eggs, sausages, and bread.\",\"I had breakfast with Lydia, Hazel, Piper, Layla, Piper, Nora, Avery, Claire, Nevaeh, Olivia, Eva. I ate eggs, sausages, and bread.\"\n14588,2014/04/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n14589,2014/04/28,I prepare indian food for dinner.,I prepare indian food for dinner.\n14590,2014/04/28,I spent 5 talking to Eva on various topics in the early afternoon.,I spent 5 talking to Eva on various topics in the early afternoon.\n14591,2014/04/28,\"I spent 7 talking to Piper, Olivia, Lydia, Claire on various topics late in the evening.\",\"I spent 7 talking to Piper, Olivia, Lydia, Claire on various topics late in the evening.\"\n14592,2014/04/28,\"I talked to Lydia, Hazel, Piper, Eva for 53 minutes during lunch hours.\",\"I talked to Lydia, Hazel, Piper, Eva for 53 minutes during lunch hours.\"\n14593,2014/04/28,\"I spent 22 talking to Claire, Rylee, Lydia on various topics in the morning.\",\"I spent 22 talking to Claire, Rylee, Lydia on various topics in the morning.\"\n14594,2014/04/28,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n14595,2014/04/28,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n14596,2014/04/29,I went on a date with Easton on 2014/04/29 at a restaurant,I went on a date with Easton on 2014/04/29 at a restaurant\n14597,2014/04/29,\"I went grocery shopping. I bought some pineapples, pears, blackberries, milk, sports drinks, and toilet paper, conditioner\",\"I went grocery shopping. I bought some pineapples, pears, blackberries, milk, sports drinks, and toilet paper, conditioner\"\n14598,2014/04/29,I did biking on 2014/04/29.,I did biking on 2014/04/29.\n14599,2014/04/29,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n14600,2014/04/29,I had lunch. I ate steak.,I had lunch. I ate steak.\n14601,2014/04/29,I ate chinese food for dinner.,I ate chinese food for dinner.\n14602,2014/04/29,\"I talked to Rylee, Nora, Nevaeh for 25 minutes in the late afternoon.\",\"I talked to Rylee, Nora, Nevaeh for 25 minutes in the late afternoon.\"\n14603,2014/04/29,\"I talked to Nevaeh, Olivia, Eva for 9 minutes in the late afternoon.\",\"I talked to Nevaeh, Olivia, Eva for 9 minutes in the late afternoon.\"\n14604,2014/04/29,\"I talked to Eva, Claire for 25 minutes in the morning.\",\"I talked to Eva, Claire for 25 minutes in the morning.\"\n14605,2014/04/29,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n14606,2014/04/29,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n14607,2014/04/30,\"I was cooking favorite chicken potpie, chinese vegetable stir-fry, chinese chicken wings on 2014/04/30 with Andrew, Carter, Emily, Kayden at my place\",\"I was cooking favorite chicken potpie, chinese vegetable stir-fry, chinese chicken wings on 2014/04/30 with Andrew, Carter, Emily, Kayden at my place\"\n14608,2014/04/30,I did weight lifting on 2014/04/30.,I did weight lifting on 2014/04/30.\n14609,2014/04/30,I had breakfast with Avery. I ate pancakes.,I had breakfast with Avery. I ate pancakes.\n14610,2014/04/30,\"I had lunch with Carter, Emily. I ate steak.\",\"I had lunch with Carter, Emily. I ate steak.\"\n14611,2014/04/30,I had dinner. I ate steak.,I had dinner. I ate steak.\n14612,2014/04/30,\"I talked to Piper, Olivia for 48 minutes during lunch hours.\",\"I talked to Piper, Olivia for 48 minutes during lunch hours.\"\n14613,2014/04/30,\"I talked to Layla, Kinsley, Claire for 21 minutes in the morning.\",\"I talked to Layla, Kinsley, Claire for 21 minutes in the morning.\"\n14614,2014/04/30,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n14615,2014/04/30,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n14616,2014/05/01,I did running on 2014/05/01.,I did running on 2014/05/01.\n14617,2014/05/01,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n14618,2014/05/01,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n14619,2014/05/01,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n14620,2014/05/01,\"I spent 48 talking to Claire, Lydia on various topics in the morning.\",\"I spent 48 talking to Claire, Lydia on various topics in the morning.\"\n14621,2014/05/01,\"I spent 43 talking to Hazel, Nevaeh, Piper on various topics late in the evening.\",\"I spent 43 talking to Hazel, Nevaeh, Piper on various topics late in the evening.\"\n14622,2014/05/01,I talked to Nora for 17 minutes in the early afternoon.,I talked to Nora for 17 minutes in the early afternoon.\n14623,2014/05/01,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n14624,2014/05/01,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n14625,2014/05/02,I did HIIT on 2014/05/02.,I did HIIT on 2014/05/02.\n14626,2014/05/02,\"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Emily, Andrew\",\"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Emily, Andrew\"\n14627,2014/05/02,I prepare tacos for lunch.,I prepare tacos for lunch.\n14628,2014/05/02,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n14629,2014/05/02,\"I talked to Lydia, Piper for 44 minutes in the early afternoon.\",\"I talked to Lydia, Piper for 44 minutes in the early afternoon.\"\n14630,2014/05/02,\"I talked to Nora, Eva, Piper, Claire for 25 minutes late in the evening.\",\"I talked to Nora, Eva, Piper, Claire for 25 minutes late in the evening.\"\n14631,2014/05/02,\"I talked to Rylee, Kinsley, Claire, Nevaeh for 46 minutes late in the evening.\",\"I talked to Rylee, Kinsley, Claire, Nevaeh for 46 minutes late in the evening.\"\n14632,2014/05/02,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n14633,2014/05/02,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n14634,2014/05/03,I did swimming on 2014/05/03.,I did swimming on 2014/05/03.\n14635,2014/05/03,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n14636,2014/05/03,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n14637,2014/05/03,I ate steak for dinner.,I ate steak for dinner.\n14638,2014/05/03,\"I talked to Piper, Lydia, Avery, Eva for 43 minutes in the late afternoon.\",\"I talked to Piper, Lydia, Avery, Eva for 43 minutes in the late afternoon.\"\n14639,2014/05/03,I spent 21 talking to Rylee on various topics in the early evening.,I spent 21 talking to Rylee on various topics in the early evening.\n14640,2014/05/03,\"I talked to Claire, Lydia for 26 minutes in the morning.\",\"I talked to Claire, Lydia for 26 minutes in the morning.\"\n14641,2014/05/03,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n14642,2014/05/03,I watched a documentary for 49 minutes on TV today.,I watched a documentary for 49 minutes on TV today.\n14643,2014/05/04,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n14644,2014/05/04,I prepare indian food for lunch.,I prepare indian food for lunch.\n14645,2014/05/04,I prepare steak for dinner.,I prepare steak for dinner.\n14646,2014/05/04,I spent 53 talking to Piper on various topics during lunch hours.,I spent 53 talking to Piper on various topics during lunch hours.\n14647,2014/05/04,I spent 14 talking to Hazel on various topics in the morning.,I spent 14 talking to Hazel on various topics in the morning.\n14648,2014/05/04,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n14649,2014/05/04,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n14650,2014/05/05,I did biking on 2014/05/05.,I did biking on 2014/05/05.\n14651,2014/05/05,\"I had pancakes for breakfast with Rylee, Layla, Avery, Claire, Kinsley, Piper, Nora, Eva, Nevaeh\",\"I had pancakes for breakfast with Rylee, Layla, Avery, Claire, Kinsley, Piper, Nora, Eva, Nevaeh\"\n14652,2014/05/05,I had lunch with Piper. I ate tacos.,I had lunch with Piper. I ate tacos.\n14653,2014/05/05,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n14654,2014/05/05,\"I spent 32 talking to Avery, Kinsley, Lydia on various topics in the early evening.\",\"I spent 32 talking to Avery, Kinsley, Lydia on various topics in the early evening.\"\n14655,2014/05/05,I talked to Piper for 33 minutes during lunch hours.,I talked to Piper for 33 minutes during lunch hours.\n14656,2014/05/05,\"I talked to Nevaeh, Eva, Avery for 28 minutes in the late afternoon.\",\"I talked to Nevaeh, Eva, Avery for 28 minutes in the late afternoon.\"\n14657,2014/05/05,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n14658,2014/05/05,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n14659,2014/05/06,I really enjoyed learning a language on 2014/05/06,I really enjoyed learning a language on 2014/05/06\n14660,2014/05/06,\"I went grocery shopping with Eva, Hazel, Avery, Kinsley, Nora, Olivia, Lydia, Layla, Nevaeh. I bought some blueberries, pineapple juice, and mouth wash, shaving cream\",\"I went grocery shopping with Eva, Hazel, Avery, Kinsley, Nora, Olivia, Lydia, Layla, Nevaeh. I bought some blueberries, pineapple juice, and mouth wash, shaving cream\"\n14661,2014/05/06,I did hiking on 2014/05/06.,I did hiking on 2014/05/06.\n14662,2014/05/06,\"I had breakfast with Willow, Avery, Jackson. I ate eggs, sausages, and bread.\",\"I had breakfast with Willow, Avery, Jackson. I ate eggs, sausages, and bread.\"\n14663,2014/05/06,\"I had tacos for lunch with Kinsley, Nevaeh, Claire, Avery, Lydia, Eva, Layla, Piper, Piper, Olivia, Nora, Hazel, Rylee\",\"I had tacos for lunch with Kinsley, Nevaeh, Claire, Avery, Lydia, Eva, Layla, Piper, Piper, Olivia, Nora, Hazel, Rylee\"\n14664,2014/05/06,I had dinner with Emily. I ate tacos.,I had dinner with Emily. I ate tacos.\n14665,2014/05/06,I spent 16 talking to Hazel on various topics in the early afternoon.,I spent 16 talking to Hazel on various topics in the early afternoon.\n14666,2014/05/06,I talked to Olivia for 37 minutes in the early evening.,I talked to Olivia for 37 minutes in the early evening.\n14667,2014/05/06,\"I spent 26 talking to Lydia, Hazel, Piper on various topics during lunch hours.\",\"I spent 26 talking to Lydia, Hazel, Piper on various topics during lunch hours.\"\n14668,2014/05/06,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n14669,2014/05/06,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n14670,2014/05/07,I did hiking on 2014/05/07.,I did hiking on 2014/05/07.\n14671,2014/05/07,I had breakfast with Carter. I ate oatmeal.,I had breakfast with Carter. I ate oatmeal.\n14672,2014/05/07,\"I had lunch with Carter, Emily, Andrew, Kayden. I ate pasta.\",\"I had lunch with Carter, Emily, Andrew, Kayden. I ate pasta.\"\n14673,2014/05/07,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n14674,2014/05/07,I talked to Piper for 21 minutes during lunch hours.,I talked to Piper for 21 minutes during lunch hours.\n14675,2014/05/07,\"I spent 42 talking to Piper, Piper on various topics in the morning.\",\"I spent 42 talking to Piper, Piper on various topics in the morning.\"\n14676,2014/05/07,I spent 45 talking to Lydia on various topics late in the evening.,I spent 45 talking to Lydia on various topics late in the evening.\n14677,2014/05/07,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n14678,2014/05/07,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n14679,2014/05/08,I really enjoyed meditation on 2014/05/08,I really enjoyed meditation on 2014/05/08\n14680,2014/05/08,\"I bought some peaches, strawberries, apple juice, milk, shampoo, paper towel, body lotion, facial wash from the grocery store. I saw Nora, Kinsley, Eva, Olivia, Piper, Nevaeh, Rylee, Avery, Layla, Hazel, Claire, Lydia at the grocery store.\",\"I bought some peaches, strawberries, apple juice, milk, shampoo, paper towel, body lotion, facial wash from the grocery store. I saw Nora, Kinsley, Eva, Olivia, Piper, Nevaeh, Rylee, Avery, Layla, Hazel, Claire, Lydia at the grocery store.\"\n14681,2014/05/08,I did hiking on 2014/05/08.,I did hiking on 2014/05/08.\n14682,2014/05/08,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n14683,2014/05/08,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n14684,2014/05/08,I ate a burger for dinner.,I ate a burger for dinner.\n14685,2014/05/08,\"I spent 25 talking to Hazel, Olivia on various topics in the early afternoon.\",\"I spent 25 talking to Hazel, Olivia on various topics in the early afternoon.\"\n14686,2014/05/08,\"I talked to Eva, Piper, Lydia, Rylee for 36 minutes during lunch hours.\",\"I talked to Eva, Piper, Lydia, Rylee for 36 minutes during lunch hours.\"\n14687,2014/05/08,\"I talked to Eva, Rylee, Piper, Lydia for 10 minutes in the late afternoon.\",\"I talked to Eva, Rylee, Piper, Lydia for 10 minutes in the late afternoon.\"\n14688,2014/05/08,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n14689,2014/05/08,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n14690,2014/05/09,I did HIIT on 2014/05/09.,I did HIIT on 2014/05/09.\n14691,2014/05/09,\"I had oatmeal for breakfast with Kayden, Andrew, Emily, Carter\",\"I had oatmeal for breakfast with Kayden, Andrew, Emily, Carter\"\n14692,2014/05/09,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n14693,2014/05/09,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n14694,2014/05/09,\"I spent 46 talking to Eva, Piper, Piper, Olivia on various topics during lunch hours.\",\"I spent 46 talking to Eva, Piper, Piper, Olivia on various topics during lunch hours.\"\n14695,2014/05/09,\"I talked to Rylee, Lydia for 45 minutes in the morning.\",\"I talked to Rylee, Lydia for 45 minutes in the morning.\"\n14696,2014/05/09,\"I talked to Nora, Avery for 11 minutes in the morning.\",\"I talked to Nora, Avery for 11 minutes in the morning.\"\n14697,2014/05/09,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n14698,2014/05/09,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n14699,2014/05/10,\"I went grocery shopping with Emily, Andrew, Carter, Kayden. I bought some mandarins, apricots, cherres, pineapple juice, apple juice, and shampoo, shaving cream, facial wash\",\"I went grocery shopping with Emily, Andrew, Carter, Kayden. I bought some mandarins, apricots, cherres, pineapple juice, apple juice, and shampoo, shaving cream, facial wash\"\n14700,2014/05/10,I did swimming on 2014/05/10.,I did swimming on 2014/05/10.\n14701,2014/05/10,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n14702,2014/05/10,\"I had sushi for lunch with Nora, Piper, Lydia\",\"I had sushi for lunch with Nora, Piper, Lydia\"\n14703,2014/05/10,I prepare sushi for dinner.,I prepare sushi for dinner.\n14704,2014/05/10,\"I talked to Nora, Piper, Piper for 53 minutes in the early afternoon.\",\"I talked to Nora, Piper, Piper for 53 minutes in the early afternoon.\"\n14705,2014/05/10,\"I talked to Kinsley, Lydia for 40 minutes in the morning.\",\"I talked to Kinsley, Lydia for 40 minutes in the morning.\"\n14706,2014/05/10,\"I talked to Nevaeh, Piper, Rylee for 51 minutes late in the evening.\",\"I talked to Nevaeh, Piper, Rylee for 51 minutes late in the evening.\"\n14707,2014/05/10,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n14708,2014/05/10,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n14709,2014/05/11,I did hiking on 2014/05/11.,I did hiking on 2014/05/11.\n14710,2014/05/11,I had cereals for breakfast with Willow,I had cereals for breakfast with Willow\n14711,2014/05/11,\"I had sushi for lunch with Carter, Andrew, Kayden\",\"I had sushi for lunch with Carter, Andrew, Kayden\"\n14712,2014/05/11,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n14713,2014/05/11,\"I spent 5 talking to Claire, Avery, Rylee on various topics in the late afternoon.\",\"I spent 5 talking to Claire, Avery, Rylee on various topics in the late afternoon.\"\n14714,2014/05/11,I spent 10 talking to Avery on various topics in the early afternoon.,I spent 10 talking to Avery on various topics in the early afternoon.\n14715,2014/05/11,\"I talked to Layla, Eva, Kinsley, Hazel for 8 minutes in the late afternoon.\",\"I talked to Layla, Eva, Kinsley, Hazel for 8 minutes in the late afternoon.\"\n14716,2014/05/11,I talked to Eva for 42 minutes during lunch hours.,I talked to Eva for 42 minutes during lunch hours.\n14717,2014/05/11,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n14718,2014/05/11,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n14719,2014/05/12,I did biking on 2014/05/12.,I did biking on 2014/05/12.\n14720,2014/05/12,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n14721,2014/05/12,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n14722,2014/05/12,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n14723,2014/05/12,I talked to Piper for 23 minutes in the early afternoon.,I talked to Piper for 23 minutes in the early afternoon.\n14724,2014/05/12,\"I talked to Lydia, Rylee for 44 minutes in the early evening.\",\"I talked to Lydia, Rylee for 44 minutes in the early evening.\"\n14725,2014/05/12,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n14726,2014/05/12,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n14727,2014/05/13,\"On 2014/05/13, I took Emma on a date to a coffee Shop\",\"On 2014/05/13, I took Emma on a date to a coffee Shop\"\n14728,2014/05/13,I did running on 2014/05/13.,I did running on 2014/05/13.\n14729,2014/05/13,\"I had breakfast with Nevaeh, Avery, Hazel, Eva, Piper, Layla, Olivia, Kinsley. I ate oatmeal.\",\"I had breakfast with Nevaeh, Avery, Hazel, Eva, Piper, Layla, Olivia, Kinsley. I ate oatmeal.\"\n14730,2014/05/13,\"I had chinese food for lunch with Andrew, Kayden\",\"I had chinese food for lunch with Andrew, Kayden\"\n14731,2014/05/13,I ate pasta for dinner.,I ate pasta for dinner.\n14732,2014/05/13,\"I spent 5 talking to Kinsley, Eva on various topics during lunch hours.\",\"I spent 5 talking to Kinsley, Eva on various topics during lunch hours.\"\n14733,2014/05/13,\"I spent 49 talking to Kinsley, Olivia on various topics in the early evening.\",\"I spent 49 talking to Kinsley, Olivia on various topics in the early evening.\"\n14734,2014/05/13,\"I spent 37 talking to Avery, Claire, Nevaeh, Olivia on various topics in the morning.\",\"I spent 37 talking to Avery, Claire, Nevaeh, Olivia on various topics in the morning.\"\n14735,2014/05/13,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n14736,2014/05/13,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n14737,2014/05/14,I went on a date with Eliana on 2014/05/14 at a restaurant,I went on a date with Eliana on 2014/05/14 at a restaurant\n14738,2014/05/14,\"I bought some mangos, raspberries, mandarins, oranges, chocolate milk, shampoo, facial wash online.\",\"I bought some mangos, raspberries, mandarins, oranges, chocolate milk, shampoo, facial wash online.\"\n14739,2014/05/14,I did biking on 2014/05/14.,I did biking on 2014/05/14.\n14740,2014/05/14,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n14741,2014/05/14,I ate sandwich for lunch.,I ate sandwich for lunch.\n14742,2014/05/14,I ate a burger for dinner.,I ate a burger for dinner.\n14743,2014/05/14,I spent 25 talking to Piper on various topics in the early afternoon.,I spent 25 talking to Piper on various topics in the early afternoon.\n14744,2014/05/14,I talked to Rylee for 18 minutes in the early afternoon.,I talked to Rylee for 18 minutes in the early afternoon.\n14745,2014/05/14,\"I talked to Nora, Lydia, Eva for 24 minutes in the early evening.\",\"I talked to Nora, Lydia, Eva for 24 minutes in the early evening.\"\n14746,2014/05/14,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n14747,2014/05/14,I spent 34 minutes watching a tv series on TV today.,I spent 34 minutes watching a tv series on TV today.\n14748,2014/05/15,I went for an annual physical checkup on 2014/05/15 at the university hospital.,I went for an annual physical checkup on 2014/05/15 at the university hospital.\n14749,2014/05/15,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n14750,2014/05/15,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n14751,2014/05/15,\"I had dinner with Carter, Kayden. I ate steak.\",\"I had dinner with Carter, Kayden. I ate steak.\"\n14752,2014/05/15,I talked to Rylee for 27 minutes late in the evening.,I talked to Rylee for 27 minutes late in the evening.\n14753,2014/05/15,I spent 24 talking to Nora on various topics in the morning.,I spent 24 talking to Nora on various topics in the morning.\n14754,2014/05/15,\"I spent 35 talking to Layla, Hazel on various topics during lunch hours.\",\"I spent 35 talking to Layla, Hazel on various topics during lunch hours.\"\n14755,2014/05/15,\"I spent 45 talking to Piper, Nevaeh on various topics in the early evening.\",\"I spent 45 talking to Piper, Nevaeh on various topics in the early evening.\"\n14756,2014/05/15,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n14757,2014/05/15,I spent 29 minutes watching a documentary on TV today.,I spent 29 minutes watching a documentary on TV today.\n14758,2014/05/16,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n14759,2014/05/16,I prepare sushi for lunch.,I prepare sushi for lunch.\n14760,2014/05/16,I had dinner with Avery. I ate sushi.,I had dinner with Avery. I ate sushi.\n14761,2014/05/16,I spent 40 talking to Rylee on various topics late in the evening.,I spent 40 talking to Rylee on various topics late in the evening.\n14762,2014/05/16,I spent 10 talking to Claire on various topics late in the evening.,I spent 10 talking to Claire on various topics late in the evening.\n14763,2014/05/16,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n14764,2014/05/16,I spent 29 minutes watching a tv series on TV today.,I spent 29 minutes watching a tv series on TV today.\n14765,2014/05/17,I did hiking on 2014/05/17.,I did hiking on 2014/05/17.\n14766,2014/05/17,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n14767,2014/05/17,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n14768,2014/05/17,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n14769,2014/05/17,\"I spent 40 talking to Layla, Eva, Nora on various topics during lunch hours.\",\"I spent 40 talking to Layla, Eva, Nora on various topics during lunch hours.\"\n14770,2014/05/17,\"I spent 13 talking to Piper, Claire, Hazel on various topics during lunch hours.\",\"I spent 13 talking to Piper, Claire, Hazel on various topics during lunch hours.\"\n14771,2014/05/17,I spent 15 talking to Lydia on various topics in the early afternoon.,I spent 15 talking to Lydia on various topics in the early afternoon.\n14772,2014/05/17,\"I talked to Piper, Kinsley, Nevaeh for 49 minutes in the morning.\",\"I talked to Piper, Kinsley, Nevaeh for 49 minutes in the morning.\"\n14773,2014/05/17,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n14774,2014/05/17,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n14775,2014/05/18,I did weight lifting on 2014/05/18.,I did weight lifting on 2014/05/18.\n14776,2014/05/18,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n14777,2014/05/18,\"I had fish and chips for lunch with Carter, Kayden, Andrew, Emily\",\"I had fish and chips for lunch with Carter, Kayden, Andrew, Emily\"\n14778,2014/05/18,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n14779,2014/05/18,\"I spent 40 talking to Avery, Layla, Hazel on various topics in the late afternoon.\",\"I spent 40 talking to Avery, Layla, Hazel on various topics in the late afternoon.\"\n14780,2014/05/18,I spent 41 talking to Layla on various topics in the late afternoon.,I spent 41 talking to Layla on various topics in the late afternoon.\n14781,2014/05/18,\"I spent 30 talking to Hazel, Kinsley on various topics in the early afternoon.\",\"I spent 30 talking to Hazel, Kinsley on various topics in the early afternoon.\"\n14782,2014/05/18,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n14783,2014/05/18,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n14784,2014/05/19,I really enjoyed learning a language on 2014/05/19,I really enjoyed learning a language on 2014/05/19\n14785,2014/05/19,I did HIIT on 2014/05/19.,I did HIIT on 2014/05/19.\n14786,2014/05/19,I ate cereals for breakfast.,I ate cereals for breakfast.\n14787,2014/05/19,I prepare sushi for lunch.,I prepare sushi for lunch.\n14788,2014/05/19,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n14789,2014/05/19,\"I spent 16 talking to Eva, Lydia, Claire on various topics in the early afternoon.\",\"I spent 16 talking to Eva, Lydia, Claire on various topics in the early afternoon.\"\n14790,2014/05/19,\"I spent 10 talking to Hazel, Lydia on various topics late in the evening.\",\"I spent 10 talking to Hazel, Lydia on various topics late in the evening.\"\n14791,2014/05/19,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n14792,2014/05/19,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n14793,2014/05/20,\"I went grocery shopping with Kayden, Andrew, Emily. I bought some blueberries, pears, mandarins, milk, guava juice, mineral water, soda, and toothbrush, paper towel, toilet paper\",\"I went grocery shopping with Kayden, Andrew, Emily. I bought some blueberries, pears, mandarins, milk, guava juice, mineral water, soda, and toothbrush, paper towel, toilet paper\"\n14794,2014/05/20,I did running on 2014/05/20.,I did running on 2014/05/20.\n14795,2014/05/20,\"I had breakfast with Eva, Nevaeh, Hazel, Piper, Nora, Claire, Olivia, Rylee, Lydia. I ate cereals.\",\"I had breakfast with Eva, Nevaeh, Hazel, Piper, Nora, Claire, Olivia, Rylee, Lydia. I ate cereals.\"\n14796,2014/05/20,I ate tacos for lunch.,I ate tacos for lunch.\n14797,2014/05/20,I had dinner. I ate steak.,I had dinner. I ate steak.\n14798,2014/05/20,\"I spent 39 talking to Eva, Nevaeh, Piper on various topics in the early evening.\",\"I spent 39 talking to Eva, Nevaeh, Piper on various topics in the early evening.\"\n14799,2014/05/20,\"I spent 5 talking to Olivia, Claire, Nora, Kinsley on various topics in the early evening.\",\"I spent 5 talking to Olivia, Claire, Nora, Kinsley on various topics in the early evening.\"\n14800,2014/05/20,I spent 25 talking to Hazel on various topics in the early afternoon.,I spent 25 talking to Hazel on various topics in the early afternoon.\n14801,2014/05/20,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n14802,2014/05/20,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n14803,2014/05/21,\"I visited Los Angeles, US for 3 days with Willow, Jackson, Avery starting on 2014/05/21\",\"I visited Los Angeles, US for 3 days with Willow, Jackson, Avery starting on 2014/05/21\"\n14804,2014/05/21,I went on a date with Mike on 2014/05/21 at a park,I went on a date with Mike on 2014/05/21 at a park\n14805,2014/05/21,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n14806,2014/05/21,I ate chinese food for lunch.,I ate chinese food for lunch.\n14807,2014/05/21,I prepare steak for dinner.,I prepare steak for dinner.\n14808,2014/05/21,\"I spent 54 talking to Hazel, Kinsley on various topics in the early afternoon.\",\"I spent 54 talking to Hazel, Kinsley on various topics in the early afternoon.\"\n14809,2014/05/21,\"I talked to Claire, Eva, Rylee for 48 minutes in the early evening.\",\"I talked to Claire, Eva, Rylee for 48 minutes in the early evening.\"\n14810,2014/05/21,\"I talked to Kinsley, Lydia for 28 minutes in the late afternoon.\",\"I talked to Kinsley, Lydia for 28 minutes in the late afternoon.\"\n14811,2014/05/21,I talked to Claire for 28 minutes during lunch hours.,I talked to Claire for 28 minutes during lunch hours.\n14812,2014/05/21,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n14813,2014/05/21,I spent 37 minutes watching a tv series on TV today.,I spent 37 minutes watching a tv series on TV today.\n14814,2014/05/22,\"During my trip to Los Angeles, US, I visited Hollywood Walk of Fame on 2014/05 with Willow, Jackson, Avery.\",\"During my trip to Los Angeles, US, I visited Hollywood Walk of Fame on 2014/05 with Willow, Jackson, Avery.\"\n14815,2014/05/22,\"I ate Italian food at Es Todo Vegan Street Food with Willow, Jackson, Avery on  2014/05/22 when I was in Los Angeles, US.\",\"I ate Italian food at Es Todo Vegan Street Food with Willow, Jackson, Avery on  2014/05/22 when I was in Los Angeles, US.\"\n14816,2014/05/22,\"I went grocery shopping. I bought some guava, blackberries, bananas, soda, orange juice, apple juice, and paper towel, facial wash, shampoo, conditioner\",\"I went grocery shopping. I bought some guava, blackberries, bananas, soda, orange juice, apple juice, and paper towel, facial wash, shampoo, conditioner\"\n14817,2014/05/22,I ate cereals for breakfast.,I ate cereals for breakfast.\n14818,2014/05/22,I had lunch. I ate steak.,I had lunch. I ate steak.\n14819,2014/05/22,I ate tacos for dinner.,I ate tacos for dinner.\n14820,2014/05/22,I spent 50 talking to Rylee on various topics in the early evening.,I spent 50 talking to Rylee on various topics in the early evening.\n14821,2014/05/22,\"I talked to Piper, Olivia, Piper for 24 minutes in the early afternoon.\",\"I talked to Piper, Olivia, Piper for 24 minutes in the early afternoon.\"\n14822,2014/05/22,\"I talked to Lydia, Piper, Kinsley, Claire for 36 minutes in the morning.\",\"I talked to Lydia, Piper, Kinsley, Claire for 36 minutes in the morning.\"\n14823,2014/05/22,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n14824,2014/05/22,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n14825,2014/05/23,\"During my trip to Los Angeles, US, I visited Santa Monica Pier on 2014/05 with Willow, Jackson, Avery.\",\"During my trip to Los Angeles, US, I visited Santa Monica Pier on 2014/05 with Willow, Jackson, Avery.\"\n14826,2014/05/23,\"I ate Chinese food at Guatemalan Night Market with Willow, Jackson, Avery on  2014/05/23 when I was in Los Angeles, US.\",\"I ate Chinese food at Guatemalan Night Market with Willow, Jackson, Avery on  2014/05/23 when I was in Los Angeles, US.\"\n14827,2014/05/23,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n14828,2014/05/23,\"I had pasta for lunch with Piper, Kinsley, Olivia, Hazel, Piper, Nevaeh, Layla, Nora, Eva, Rylee\",\"I had pasta for lunch with Piper, Kinsley, Olivia, Hazel, Piper, Nevaeh, Layla, Nora, Eva, Rylee\"\n14829,2014/05/23,\"I had fish and chips for dinner with Andrew, Carter\",\"I had fish and chips for dinner with Andrew, Carter\"\n14830,2014/05/23,\"I spent 36 talking to Nora, Hazel on various topics during lunch hours.\",\"I spent 36 talking to Nora, Hazel on various topics during lunch hours.\"\n14831,2014/05/23,\"I talked to Layla, Kinsley for 21 minutes during lunch hours.\",\"I talked to Layla, Kinsley for 21 minutes during lunch hours.\"\n14832,2014/05/23,\"I talked to Nevaeh, Lydia, Rylee, Kinsley for 48 minutes late in the evening.\",\"I talked to Nevaeh, Lydia, Rylee, Kinsley for 48 minutes late in the evening.\"\n14833,2014/05/23,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n14834,2014/05/23,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n14835,2014/05/24,\"During my trip to Los Angeles, US, I visited Griffith Park and Observatory on 2014/05 with Willow, Jackson, Avery.\",\"During my trip to Los Angeles, US, I visited Griffith Park and Observatory on 2014/05 with Willow, Jackson, Avery.\"\n14836,2014/05/24,\"I ate Indian food at Guatemalan Night Market with Willow, Jackson, Avery on  2014/05/24 when I was in Los Angeles, US.\",\"I ate Indian food at Guatemalan Night Market with Willow, Jackson, Avery on  2014/05/24 when I was in Los Angeles, US.\"\n14837,2014/05/24,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n14838,2014/05/24,\"I had lunch with Kayden, Carter, Emily. I ate fish and chips.\",\"I had lunch with Kayden, Carter, Emily. I ate fish and chips.\"\n14839,2014/05/24,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n14840,2014/05/24,\"I talked to Rylee, Layla, Hazel, Kinsley for 31 minutes during lunch hours.\",\"I talked to Rylee, Layla, Hazel, Kinsley for 31 minutes during lunch hours.\"\n14841,2014/05/24,\"I talked to Nora, Rylee for 40 minutes during lunch hours.\",\"I talked to Nora, Rylee for 40 minutes during lunch hours.\"\n14842,2014/05/24,\"I talked to Avery, Olivia, Layla, Rylee for 35 minutes in the early evening.\",\"I talked to Avery, Olivia, Layla, Rylee for 35 minutes in the early evening.\"\n14843,2014/05/24,\"I spent 25 talking to Layla, Nora, Piper on various topics in the morning.\",\"I spent 25 talking to Layla, Nora, Piper on various topics in the morning.\"\n14844,2014/05/24,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n14845,2014/05/24,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n14846,2014/05/25,\"During my trip to Los Angeles, US, I visited Getty Center on 2014/05 with Willow, Jackson, Avery.\",\"During my trip to Los Angeles, US, I visited Getty Center on 2014/05 with Willow, Jackson, Avery.\"\n14847,2014/05/25,\"I had breakfast with Andrew, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Emily. I ate eggs, sausages, and bread.\"\n14848,2014/05/25,I ate sandwich for lunch.,I ate sandwich for lunch.\n14849,2014/05/25,\"I had dinner with Lydia, Nevaeh, Kinsley, Piper, Avery, Layla, Eva. I ate pasta.\",\"I had dinner with Lydia, Nevaeh, Kinsley, Piper, Avery, Layla, Eva. I ate pasta.\"\n14850,2014/05/25,I spent 47 talking to Olivia on various topics in the morning.,I spent 47 talking to Olivia on various topics in the morning.\n14851,2014/05/25,\"I talked to Hazel, Piper, Layla for 19 minutes late in the evening.\",\"I talked to Hazel, Piper, Layla for 19 minutes late in the evening.\"\n14852,2014/05/25,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n14853,2014/05/25,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n14854,2014/05/26,\"During my trip to Los Angeles, US, I visited Universal Studios Hollywood on 2014/05 with Willow, Jackson, Avery.\",\"During my trip to Los Angeles, US, I visited Universal Studios Hollywood on 2014/05 with Willow, Jackson, Avery.\"\n14855,2014/05/26,\"On 2014/05/26, I took Abigail on a date to a park\",\"On 2014/05/26, I took Abigail on a date to a park\"\n14856,2014/05/26,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n14857,2014/05/26,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n14858,2014/05/26,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n14859,2014/05/26,\"I spent 34 talking to Nevaeh, Avery, Nora, Piper on various topics in the early afternoon.\",\"I spent 34 talking to Nevaeh, Avery, Nora, Piper on various topics in the early afternoon.\"\n14860,2014/05/26,\"I talked to Olivia, Layla for 23 minutes in the late afternoon.\",\"I talked to Olivia, Layla for 23 minutes in the late afternoon.\"\n14861,2014/05/26,\"I talked to Claire, Olivia, Lydia, Eva for 36 minutes in the early afternoon.\",\"I talked to Claire, Olivia, Lydia, Eva for 36 minutes in the early afternoon.\"\n14862,2014/05/26,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n14863,2014/05/26,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n14864,2014/05/27,I did swimming on 2014/05/27.,I did swimming on 2014/05/27.\n14865,2014/05/27,I had breakfast with Andrew. I ate cereals.,I had breakfast with Andrew. I ate cereals.\n14866,2014/05/27,I had tacos for lunch with Kayden,I had tacos for lunch with Kayden\n14867,2014/05/27,\"I had dinner with Kinsley, Claire, Nora, Piper. I ate tacos.\",\"I had dinner with Kinsley, Claire, Nora, Piper. I ate tacos.\"\n14868,2014/05/27,\"I spent 29 talking to Eva, Olivia on various topics in the late afternoon.\",\"I spent 29 talking to Eva, Olivia on various topics in the late afternoon.\"\n14869,2014/05/27,\"I talked to Eva, Hazel, Rylee, Claire for 55 minutes in the early afternoon.\",\"I talked to Eva, Hazel, Rylee, Claire for 55 minutes in the early afternoon.\"\n14870,2014/05/27,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n14871,2014/05/27,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n14872,2014/05/28,I did running on 2014/05/28.,I did running on 2014/05/28.\n14873,2014/05/28,\"I had breakfast with Hazel, Avery, Claire, Nevaeh, Nora, Olivia, Piper, Eva, Kinsley, Rylee, Layla, Lydia, Piper. I ate cereals.\",\"I had breakfast with Hazel, Avery, Claire, Nevaeh, Nora, Olivia, Piper, Eva, Kinsley, Rylee, Layla, Lydia, Piper. I ate cereals.\"\n14874,2014/05/28,I ate sandwich for lunch.,I ate sandwich for lunch.\n14875,2014/05/28,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n14876,2014/05/28,\"I spent 5 talking to Olivia, Rylee, Nora on various topics late in the evening.\",\"I spent 5 talking to Olivia, Rylee, Nora on various topics late in the evening.\"\n14877,2014/05/28,\"I spent 52 talking to Rylee, Claire on various topics in the late afternoon.\",\"I spent 52 talking to Rylee, Claire on various topics in the late afternoon.\"\n14878,2014/05/28,\"I spent 20 talking to Claire, Avery, Nevaeh, Kinsley on various topics in the morning.\",\"I spent 20 talking to Claire, Avery, Nevaeh, Kinsley on various topics in the morning.\"\n14879,2014/05/28,\"I spent 10 talking to Layla, Eva, Avery on various topics in the late afternoon.\",\"I spent 10 talking to Layla, Eva, Avery on various topics in the late afternoon.\"\n14880,2014/05/28,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n14881,2014/05/28,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n14882,2014/05/29,I did swimming on 2014/05/29.,I did swimming on 2014/05/29.\n14883,2014/05/29,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n14884,2014/05/29,\"I had lunch with Layla, Piper, Olivia, Kinsley, Claire, Hazel, Lydia, Rylee, Nevaeh, Avery, Nora. I ate tacos.\",\"I had lunch with Layla, Piper, Olivia, Kinsley, Claire, Hazel, Lydia, Rylee, Nevaeh, Avery, Nora. I ate tacos.\"\n14885,2014/05/29,I prepare indian food for dinner.,I prepare indian food for dinner.\n14886,2014/05/29,\"I talked to Piper, Nevaeh, Olivia for 43 minutes during lunch hours.\",\"I talked to Piper, Nevaeh, Olivia for 43 minutes during lunch hours.\"\n14887,2014/05/29,I spent 49 talking to Nevaeh on various topics late in the evening.,I spent 49 talking to Nevaeh on various topics late in the evening.\n14888,2014/05/29,I talked to Eva for 26 minutes during lunch hours.,I talked to Eva for 26 minutes during lunch hours.\n14889,2014/05/29,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n14890,2014/05/29,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n14891,2014/05/30,I spent some time yoga on 2014/05/30.,I spent some time yoga on 2014/05/30.\n14892,2014/05/30,I did swimming on 2014/05/30.,I did swimming on 2014/05/30.\n14893,2014/05/30,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n14894,2014/05/30,\"I had a burger for lunch with Emily, Andrew, Carter, Kayden\",\"I had a burger for lunch with Emily, Andrew, Carter, Kayden\"\n14895,2014/05/30,\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\",\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\"\n14896,2014/05/30,\"I spent 41 talking to Eva, Avery, Hazel, Layla on various topics in the late afternoon.\",\"I spent 41 talking to Eva, Avery, Hazel, Layla on various topics in the late afternoon.\"\n14897,2014/05/30,\"I talked to Claire, Piper, Piper, Lydia for 19 minutes late in the evening.\",\"I talked to Claire, Piper, Piper, Lydia for 19 minutes late in the evening.\"\n14898,2014/05/30,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n14899,2014/05/30,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n14900,2014/05/31,\"I entertained Andrew, Kayden, Emily at my place on 2014/05/31 and bake easy chocolate marshmallow cups, giant cinnamon roll, vegan sugar cookies\",\"I entertained Andrew, Kayden, Emily at my place on 2014/05/31 and bake easy chocolate marshmallow cups, giant cinnamon roll, vegan sugar cookies\"\n14901,2014/05/31,I did running on 2014/05/31.,I did running on 2014/05/31.\n14902,2014/05/31,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n14903,2014/05/31,I prepare tacos for lunch.,I prepare tacos for lunch.\n14904,2014/05/31,I had dinner. I ate steak.,I had dinner. I ate steak.\n14905,2014/05/31,\"I spent 49 talking to Nevaeh, Avery on various topics in the late afternoon.\",\"I spent 49 talking to Nevaeh, Avery on various topics in the late afternoon.\"\n14906,2014/05/31,\"I talked to Avery, Layla, Olivia, Claire for 34 minutes in the morning.\",\"I talked to Avery, Layla, Olivia, Claire for 34 minutes in the morning.\"\n14907,2014/05/31,\"I spent 26 talking to Avery, Olivia, Kinsley, Claire on various topics in the late afternoon.\",\"I spent 26 talking to Avery, Olivia, Kinsley, Claire on various topics in the late afternoon.\"\n14908,2014/05/31,\"I spent 31 talking to Olivia, Avery, Layla on various topics during lunch hours.\",\"I spent 31 talking to Olivia, Avery, Layla on various topics during lunch hours.\"\n14909,2014/05/31,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n14910,2014/05/31,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n14911,2014/06/01,I did HIIT on 2014/06/01.,I did HIIT on 2014/06/01.\n14912,2014/06/01,\"I had breakfast with Andrew, Kayden, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Kayden, Carter. I ate peanut-butter-jam.\"\n14913,2014/06/01,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n14914,2014/06/01,I ate pasta for dinner.,I ate pasta for dinner.\n14915,2014/06/01,\"I spent 23 talking to Kinsley, Eva on various topics in the early afternoon.\",\"I spent 23 talking to Kinsley, Eva on various topics in the early afternoon.\"\n14916,2014/06/01,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n14917,2014/06/01,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n14918,2014/06/02,I did weight lifting on 2014/06/02.,I did weight lifting on 2014/06/02.\n14919,2014/06/02,I had cereals for breakfast with Jackson,I had cereals for breakfast with Jackson\n14920,2014/06/02,I ate a burger for lunch.,I ate a burger for lunch.\n14921,2014/06/02,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n14922,2014/06/02,\"I spent 20 talking to Olivia, Claire on various topics late in the evening.\",\"I spent 20 talking to Olivia, Claire on various topics late in the evening.\"\n14923,2014/06/02,\"I spent 10 talking to Nora, Eva, Piper, Claire on various topics in the late afternoon.\",\"I spent 10 talking to Nora, Eva, Piper, Claire on various topics in the late afternoon.\"\n14924,2014/06/02,\"I spent 47 talking to Claire, Lydia on various topics late in the evening.\",\"I spent 47 talking to Claire, Lydia on various topics late in the evening.\"\n14925,2014/06/02,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n14926,2014/06/02,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n14927,2014/06/03,I went on a date with Everleigh on 2014/06/03 at a coffee Shop,I went on a date with Everleigh on 2014/06/03 at a coffee Shop\n14928,2014/06/03,I spent some time gardening on 2014/06/03.,I spent some time gardening on 2014/06/03.\n14929,2014/06/03,\"I went grocery shopping with Kayden, Carter, Andrew, Emily. I bought some guava, raspberries, pears, orange juice, sports drinks, tea, milk, and paper towel, conditioner, mouth wash, shaving cream\",\"I went grocery shopping with Kayden, Carter, Andrew, Emily. I bought some guava, raspberries, pears, orange juice, sports drinks, tea, milk, and paper towel, conditioner, mouth wash, shaving cream\"\n14930,2014/06/03,I did weight lifting on 2014/06/03.,I did weight lifting on 2014/06/03.\n14931,2014/06/03,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n14932,2014/06/03,\"I had sushi for lunch with Eva, Claire, Nora, Nevaeh, Piper, Rylee\",\"I had sushi for lunch with Eva, Claire, Nora, Nevaeh, Piper, Rylee\"\n14933,2014/06/03,I had steak for dinner with Carter,I had steak for dinner with Carter\n14934,2014/06/03,I spent 41 talking to Kinsley on various topics in the late afternoon.,I spent 41 talking to Kinsley on various topics in the late afternoon.\n14935,2014/06/03,\"I talked to Claire, Eva, Hazel for 54 minutes in the early evening.\",\"I talked to Claire, Eva, Hazel for 54 minutes in the early evening.\"\n14936,2014/06/03,\"I talked to Nevaeh, Hazel, Nora, Olivia for 29 minutes late in the evening.\",\"I talked to Nevaeh, Hazel, Nora, Olivia for 29 minutes late in the evening.\"\n14937,2014/06/03,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n14938,2014/06/03,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n14939,2014/06/04,I did swimming on 2014/06/04.,I did swimming on 2014/06/04.\n14940,2014/06/04,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14941,2014/06/04,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n14942,2014/06/04,I prepare pasta for dinner.,I prepare pasta for dinner.\n14943,2014/06/04,\"I talked to Eva, Hazel for 24 minutes in the early evening.\",\"I talked to Eva, Hazel for 24 minutes in the early evening.\"\n14944,2014/06/04,\"I spent 48 talking to Lydia, Kinsley, Layla, Nevaeh on various topics in the early afternoon.\",\"I spent 48 talking to Lydia, Kinsley, Layla, Nevaeh on various topics in the early afternoon.\"\n14945,2014/06/04,\"I talked to Nora, Nevaeh, Lydia, Claire for 10 minutes in the late afternoon.\",\"I talked to Nora, Nevaeh, Lydia, Claire for 10 minutes in the late afternoon.\"\n14946,2014/06/04,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n14947,2014/06/04,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n14948,2014/06/05,I did hiking on 2014/06/05.,I did hiking on 2014/06/05.\n14949,2014/06/05,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n14950,2014/06/05,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n14951,2014/06/05,\"I had chinese food for dinner with Emily, Carter, Andrew, Kayden\",\"I had chinese food for dinner with Emily, Carter, Andrew, Kayden\"\n14952,2014/06/05,\"I talked to Piper, Rylee, Avery, Claire for 45 minutes in the early evening.\",\"I talked to Piper, Rylee, Avery, Claire for 45 minutes in the early evening.\"\n14953,2014/06/05,\"I spent 16 talking to Nora, Olivia, Piper on various topics during lunch hours.\",\"I spent 16 talking to Nora, Olivia, Piper on various topics during lunch hours.\"\n14954,2014/06/05,\"I talked to Rylee, Kinsley for 50 minutes in the early evening.\",\"I talked to Rylee, Kinsley for 50 minutes in the early evening.\"\n14955,2014/06/05,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n14956,2014/06/05,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n14957,2014/06/06,I spent some time yoga on 2014/06/06.,I spent some time yoga on 2014/06/06.\n14958,2014/06/06,\"I bought some blueberries, mangos, pineapples, nectarines, tea, milk, soda, coffee, body lotion, shampoo from the grocery store. I saw Andrew, Emily at the grocery store.\",\"I bought some blueberries, mangos, pineapples, nectarines, tea, milk, soda, coffee, body lotion, shampoo from the grocery store. I saw Andrew, Emily at the grocery store.\"\n14959,2014/06/06,I did hiking on 2014/06/06.,I did hiking on 2014/06/06.\n14960,2014/06/06,\"I had oatmeal for breakfast with Andrew, Kayden, Carter, Emily\",\"I had oatmeal for breakfast with Andrew, Kayden, Carter, Emily\"\n14961,2014/06/06,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n14962,2014/06/06,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n14963,2014/06/06,\"I talked to Rylee, Nora for 28 minutes during lunch hours.\",\"I talked to Rylee, Nora for 28 minutes during lunch hours.\"\n14964,2014/06/06,I spent 21 talking to Lydia on various topics during lunch hours.,I spent 21 talking to Lydia on various topics during lunch hours.\n14965,2014/06/06,\"I spent 30 talking to Claire, Nora on various topics in the late afternoon.\",\"I spent 30 talking to Claire, Nora on various topics in the late afternoon.\"\n14966,2014/06/06,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n14967,2014/06/06,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n14968,2014/06/07,\"I went grocery shopping with Nevaeh, Piper, Olivia, Piper, Hazel. I bought some blackberries, pineapples, milk, apple juice, pineapple juice, mango juice, and conditioner, facial wash\",\"I went grocery shopping with Nevaeh, Piper, Olivia, Piper, Hazel. I bought some blackberries, pineapples, milk, apple juice, pineapple juice, mango juice, and conditioner, facial wash\"\n14969,2014/06/07,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n14970,2014/06/07,I prepare pasta for lunch.,I prepare pasta for lunch.\n14971,2014/06/07,\"I had sushi for dinner with Nevaeh, Piper\",\"I had sushi for dinner with Nevaeh, Piper\"\n14972,2014/06/07,I talked to Nora for 43 minutes in the early afternoon.,I talked to Nora for 43 minutes in the early afternoon.\n14973,2014/06/07,\"I talked to Avery, Layla, Olivia, Eva for 35 minutes in the early afternoon.\",\"I talked to Avery, Layla, Olivia, Eva for 35 minutes in the early afternoon.\"\n14974,2014/06/07,\"I spent 49 talking to Rylee, Layla on various topics in the late afternoon.\",\"I spent 49 talking to Rylee, Layla on various topics in the late afternoon.\"\n14975,2014/06/07,\"I talked to Eva, Rylee for 15 minutes during lunch hours.\",\"I talked to Eva, Rylee for 15 minutes during lunch hours.\"\n14976,2014/06/07,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n14977,2014/06/07,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n14978,2014/06/08,\"On 2014/06/08, I took Nova on a date to a restaurant\",\"On 2014/06/08, I took Nova on a date to a restaurant\"\n14979,2014/06/08,I did HIIT on 2014/06/08.,I did HIIT on 2014/06/08.\n14980,2014/06/08,\"I had breakfast with Rylee, Nora, Kinsley, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Rylee, Nora, Kinsley, Piper. I ate eggs, sausages, and bread.\"\n14981,2014/06/08,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n14982,2014/06/08,I ate steak for dinner.,I ate steak for dinner.\n14983,2014/06/08,\"I spent 18 talking to Nora, Hazel, Layla on various topics in the late afternoon.\",\"I spent 18 talking to Nora, Hazel, Layla on various topics in the late afternoon.\"\n14984,2014/06/08,\"I spent 20 talking to Piper, Eva on various topics in the morning.\",\"I spent 20 talking to Piper, Eva on various topics in the morning.\"\n14985,2014/06/08,I spent 47 talking to Hazel on various topics in the late afternoon.,I spent 47 talking to Hazel on various topics in the late afternoon.\n14986,2014/06/08,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n14987,2014/06/08,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n14988,2014/06/09,I did biking on 2014/06/09.,I did biking on 2014/06/09.\n14989,2014/06/09,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n14990,2014/06/09,\"I had lunch with Willow, Avery, Benjamin, Jackson. I ate indian food.\",\"I had lunch with Willow, Avery, Benjamin, Jackson. I ate indian food.\"\n14991,2014/06/09,I prepare tacos for dinner.,I prepare tacos for dinner.\n14992,2014/06/09,\"I spent 39 talking to Nora, Nevaeh, Olivia, Layla on various topics during lunch hours.\",\"I spent 39 talking to Nora, Nevaeh, Olivia, Layla on various topics during lunch hours.\"\n14993,2014/06/09,\"I spent 43 talking to Piper, Nevaeh on various topics during lunch hours.\",\"I spent 43 talking to Piper, Nevaeh on various topics during lunch hours.\"\n14994,2014/06/09,I talked to Claire for 17 minutes in the early afternoon.,I talked to Claire for 17 minutes in the early afternoon.\n14995,2014/06/09,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n14996,2014/06/09,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n14997,2014/06/10,\"I entertained Carter, Kayden, Emily, Andrew at my place on 2014/06/10 and bake easy cherry skillet cake, fig tarte tatin, birthday cupcakes with white wine buttercream\",\"I entertained Carter, Kayden, Emily, Andrew at my place on 2014/06/10 and bake easy cherry skillet cake, fig tarte tatin, birthday cupcakes with white wine buttercream\"\n14998,2014/06/10,I did biking on 2014/06/10.,I did biking on 2014/06/10.\n14999,2014/06/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n15000,2014/06/10,I ate a burger for lunch.,I ate a burger for lunch.\n15001,2014/06/10,I ate sandwich for dinner.,I ate sandwich for dinner.\n15002,2014/06/10,\"I talked to Claire, Nevaeh, Piper for 53 minutes late in the evening.\",\"I talked to Claire, Nevaeh, Piper for 53 minutes late in the evening.\"\n15003,2014/06/10,\"I spent 53 talking to Rylee, Avery on various topics late in the evening.\",\"I spent 53 talking to Rylee, Avery on various topics late in the evening.\"\n15004,2014/06/10,I spent 11 talking to Avery on various topics in the morning.,I spent 11 talking to Avery on various topics in the morning.\n15005,2014/06/10,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n15006,2014/06/10,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n15007,2014/06/11,I did weight lifting on 2014/06/11.,I did weight lifting on 2014/06/11.\n15008,2014/06/11,I had breakfast with Benjamin. I ate toast and cheese.,I had breakfast with Benjamin. I ate toast and cheese.\n15009,2014/06/11,\"I had lunch with Kinsley, Avery, Piper, Olivia, Claire, Lydia, Rylee. I ate pasta.\",\"I had lunch with Kinsley, Avery, Piper, Olivia, Claire, Lydia, Rylee. I ate pasta.\"\n15010,2014/06/11,I had dinner with Emily. I ate steak.,I had dinner with Emily. I ate steak.\n15011,2014/06/11,I spent 23 talking to Lydia on various topics in the early evening.,I spent 23 talking to Lydia on various topics in the early evening.\n15012,2014/06/11,\"I spent 37 talking to Eva, Nevaeh, Layla, Avery on various topics late in the evening.\",\"I spent 37 talking to Eva, Nevaeh, Layla, Avery on various topics late in the evening.\"\n15013,2014/06/11,I spent 53 talking to Olivia on various topics in the early evening.,I spent 53 talking to Olivia on various topics in the early evening.\n15014,2014/06/11,\"I spent 36 talking to Kinsley, Nevaeh, Rylee, Piper on various topics late in the evening.\",\"I spent 36 talking to Kinsley, Nevaeh, Rylee, Piper on various topics late in the evening.\"\n15015,2014/06/11,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n15016,2014/06/11,I spent 24 minutes watching a documentary on TV today.,I spent 24 minutes watching a documentary on TV today.\n15017,2014/06/12,I did swimming on 2014/06/12.,I did swimming on 2014/06/12.\n15018,2014/06/12,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n15019,2014/06/12,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n15020,2014/06/12,I ate sandwich for dinner.,I ate sandwich for dinner.\n15021,2014/06/12,\"I talked to Hazel, Nora for 16 minutes in the morning.\",\"I talked to Hazel, Nora for 16 minutes in the morning.\"\n15022,2014/06/12,\"I talked to Piper, Nevaeh, Piper for 36 minutes late in the evening.\",\"I talked to Piper, Nevaeh, Piper for 36 minutes late in the evening.\"\n15023,2014/06/12,\"I talked to Layla, Eva for 11 minutes in the early evening.\",\"I talked to Layla, Eva for 11 minutes in the early evening.\"\n15024,2014/06/12,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n15025,2014/06/12,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n15026,2014/06/13,\"I bought some mangos, pears, blueberries, apple juice, orange juice, mouthwash, paper towel, shampoo online.\",\"I bought some mangos, pears, blueberries, apple juice, orange juice, mouthwash, paper towel, shampoo online.\"\n15027,2014/06/13,I did hiking on 2014/06/13.,I did hiking on 2014/06/13.\n15028,2014/06/13,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n15029,2014/06/13,\"I had tacos for lunch with Carter, Kayden, Emily, Andrew\",\"I had tacos for lunch with Carter, Kayden, Emily, Andrew\"\n15030,2014/06/13,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n15031,2014/06/13,\"I spent 39 talking to Rylee, Olivia, Hazel, Piper on various topics late in the evening.\",\"I spent 39 talking to Rylee, Olivia, Hazel, Piper on various topics late in the evening.\"\n15032,2014/06/13,\"I spent 53 talking to Avery, Hazel, Olivia on various topics late in the evening.\",\"I spent 53 talking to Avery, Hazel, Olivia on various topics late in the evening.\"\n15033,2014/06/13,\"I talked to Avery, Lydia, Olivia for 22 minutes in the morning.\",\"I talked to Avery, Lydia, Olivia for 22 minutes in the morning.\"\n15034,2014/06/13,I talked to Nevaeh for 14 minutes in the morning.,I talked to Nevaeh for 14 minutes in the morning.\n15035,2014/06/13,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n15036,2014/06/13,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n15037,2014/06/14,I did biking on 2014/06/14.,I did biking on 2014/06/14.\n15038,2014/06/14,\"I had breakfast with Andrew, Kayden, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Kayden, Carter. I ate eggs, sausages, and bread.\"\n15039,2014/06/14,\"I had sandwich for lunch with Emily, Carter\",\"I had sandwich for lunch with Emily, Carter\"\n15040,2014/06/14,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n15041,2014/06/14,I spent 55 talking to Olivia on various topics in the morning.,I spent 55 talking to Olivia on various topics in the morning.\n15042,2014/06/14,I spent 40 talking to Nora on various topics in the late afternoon.,I spent 40 talking to Nora on various topics in the late afternoon.\n15043,2014/06/14,I talked to Piper for 40 minutes late in the evening.,I talked to Piper for 40 minutes late in the evening.\n15044,2014/06/14,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n15045,2014/06/14,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n15046,2014/06/15,I did running on 2014/06/15.,I did running on 2014/06/15.\n15047,2014/06/15,\"I had oatmeal for breakfast with Claire, Nora, Olivia, Nevaeh, Avery, Piper\",\"I had oatmeal for breakfast with Claire, Nora, Olivia, Nevaeh, Avery, Piper\"\n15048,2014/06/15,I had lunch. I ate steak.,I had lunch. I ate steak.\n15049,2014/06/15,\"I had dinner with Willow, Benjamin. I ate sandwich.\",\"I had dinner with Willow, Benjamin. I ate sandwich.\"\n15050,2014/06/15,\"I spent 13 talking to Rylee, Piper, Nevaeh, Lydia on various topics in the morning.\",\"I spent 13 talking to Rylee, Piper, Nevaeh, Lydia on various topics in the morning.\"\n15051,2014/06/15,\"I talked to Kinsley, Piper, Lydia for 16 minutes late in the evening.\",\"I talked to Kinsley, Piper, Lydia for 16 minutes late in the evening.\"\n15052,2014/06/15,\"I spent 50 talking to Eva, Layla, Lydia, Piper on various topics during lunch hours.\",\"I spent 50 talking to Eva, Layla, Lydia, Piper on various topics during lunch hours.\"\n15053,2014/06/15,\"I spent 23 talking to Nora, Avery, Kinsley, Olivia on various topics late in the evening.\",\"I spent 23 talking to Nora, Avery, Kinsley, Olivia on various topics late in the evening.\"\n15054,2014/06/15,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n15055,2014/06/15,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n15056,2014/06/16,I did weight lifting on 2014/06/16.,I did weight lifting on 2014/06/16.\n15057,2014/06/16,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n15058,2014/06/16,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n15059,2014/06/16,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n15060,2014/06/16,\"I talked to Layla, Nora for 11 minutes late in the evening.\",\"I talked to Layla, Nora for 11 minutes late in the evening.\"\n15061,2014/06/16,\"I spent 21 talking to Claire, Kinsley, Olivia on various topics during lunch hours.\",\"I spent 21 talking to Claire, Kinsley, Olivia on various topics during lunch hours.\"\n15062,2014/06/16,I talked to Eva for 7 minutes during lunch hours.,I talked to Eva for 7 minutes during lunch hours.\n15063,2014/06/16,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n15064,2014/06/16,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n15065,2014/06/17,\"On 2014/06/17, I took Dominic on a date to a park\",\"On 2014/06/17, I took Dominic on a date to a park\"\n15066,2014/06/17,\"I went grocery shopping with Carter, Emily. I bought some mandarins, milk, guava juice, and paper towel, conditioner, toilet paper, mouth wash\",\"I went grocery shopping with Carter, Emily. I bought some mandarins, milk, guava juice, and paper towel, conditioner, toilet paper, mouth wash\"\n15067,2014/06/17,I did running on 2014/06/17.,I did running on 2014/06/17.\n15068,2014/06/17,\"I had oatmeal for breakfast with Piper, Eva, Claire, Olivia, Nora, Rylee, Avery, Nevaeh, Layla\",\"I had oatmeal for breakfast with Piper, Eva, Claire, Olivia, Nora, Rylee, Avery, Nevaeh, Layla\"\n15069,2014/06/17,\"I had fish and chips for lunch with Emily, Kayden, Andrew, Carter\",\"I had fish and chips for lunch with Emily, Kayden, Andrew, Carter\"\n15070,2014/06/17,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n15071,2014/06/17,\"I talked to Hazel, Eva, Lydia for 11 minutes in the morning.\",\"I talked to Hazel, Eva, Lydia for 11 minutes in the morning.\"\n15072,2014/06/17,\"I spent 17 talking to Rylee, Hazel, Nora, Avery on various topics in the early afternoon.\",\"I spent 17 talking to Rylee, Hazel, Nora, Avery on various topics in the early afternoon.\"\n15073,2014/06/17,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n15074,2014/06/17,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n15075,2014/06/18,I did swimming on 2014/06/18.,I did swimming on 2014/06/18.\n15076,2014/06/18,\"I had toast and cheese for breakfast with Andrew, Emily, Kayden, Carter\",\"I had toast and cheese for breakfast with Andrew, Emily, Kayden, Carter\"\n15077,2014/06/18,\"I had lunch with Olivia, Avery, Kinsley, Rylee, Hazel, Nora, Eva, Claire. I ate indian food.\",\"I had lunch with Olivia, Avery, Kinsley, Rylee, Hazel, Nora, Eva, Claire. I ate indian food.\"\n15078,2014/06/18,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n15079,2014/06/18,I spent 38 talking to Claire on various topics during lunch hours.,I spent 38 talking to Claire on various topics during lunch hours.\n15080,2014/06/18,I spent 6 minutes on social media today.,I spent 6 minutes on social media today.\n15081,2014/06/18,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n15082,2014/06/19,I went on a date with Leilani on 2014/06/19 at a boba shop,I went on a date with Leilani on 2014/06/19 at a boba shop\n15083,2014/06/19,\"I bought some strawberries, pears, apricots, tea, sports drinks, chocolate milk, mouthwash, paper towel, shaving cream, toothbrush online.\",\"I bought some strawberries, pears, apricots, tea, sports drinks, chocolate milk, mouthwash, paper towel, shaving cream, toothbrush online.\"\n15084,2014/06/19,I did biking on 2014/06/19.,I did biking on 2014/06/19.\n15085,2014/06/19,\"I had breakfast with Kinsley, Eva. I ate pancakes.\",\"I had breakfast with Kinsley, Eva. I ate pancakes.\"\n15086,2014/06/19,I ate steak for lunch.,I ate steak for lunch.\n15087,2014/06/19,I had dinner. I ate steak.,I had dinner. I ate steak.\n15088,2014/06/19,\"I talked to Olivia, Claire, Layla for 55 minutes in the early evening.\",\"I talked to Olivia, Claire, Layla for 55 minutes in the early evening.\"\n15089,2014/06/19,\"I talked to Nevaeh, Avery for 15 minutes during lunch hours.\",\"I talked to Nevaeh, Avery for 15 minutes during lunch hours.\"\n15090,2014/06/19,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n15091,2014/06/19,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n15092,2014/06/20,I did running on 2014/06/20.,I did running on 2014/06/20.\n15093,2014/06/20,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n15094,2014/06/20,I ate sushi for lunch.,I ate sushi for lunch.\n15095,2014/06/20,\"I had dinner with Carter, Kayden, Andrew. I ate pasta.\",\"I had dinner with Carter, Kayden, Andrew. I ate pasta.\"\n15096,2014/06/20,\"I talked to Eva, Piper for 21 minutes late in the evening.\",\"I talked to Eva, Piper for 21 minutes late in the evening.\"\n15097,2014/06/20,I spent 9 talking to Lydia on various topics late in the evening.,I spent 9 talking to Lydia on various topics late in the evening.\n15098,2014/06/20,\"I talked to Piper, Nevaeh, Layla, Rylee for 40 minutes in the early afternoon.\",\"I talked to Piper, Nevaeh, Layla, Rylee for 40 minutes in the early afternoon.\"\n15099,2014/06/20,I talked to Hazel for 54 minutes during lunch hours.,I talked to Hazel for 54 minutes during lunch hours.\n15100,2014/06/20,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n15101,2014/06/20,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n15102,2014/06/21,\"I bought some mangos, orange juice, apple juice, soda, guava juice, toilet paper, shampoo, mouth wash, conditioner from the grocery store. I saw Hazel, Nora, Kinsley, Layla, Claire, Rylee at the grocery store.\",\"I bought some mangos, orange juice, apple juice, soda, guava juice, toilet paper, shampoo, mouth wash, conditioner from the grocery store. I saw Hazel, Nora, Kinsley, Layla, Claire, Rylee at the grocery store.\"\n15103,2014/06/21,I did biking on 2014/06/21.,I did biking on 2014/06/21.\n15104,2014/06/21,\"I had oatmeal for breakfast with Benjamin, Avery, Jackson, Willow\",\"I had oatmeal for breakfast with Benjamin, Avery, Jackson, Willow\"\n15105,2014/06/21,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n15106,2014/06/21,\"I had dinner with Emily, Carter. I ate fish and chips.\",\"I had dinner with Emily, Carter. I ate fish and chips.\"\n15107,2014/06/21,\"I talked to Kinsley, Nora, Rylee for 24 minutes in the early evening.\",\"I talked to Kinsley, Nora, Rylee for 24 minutes in the early evening.\"\n15108,2014/06/21,\"I spent 23 talking to Rylee, Kinsley on various topics in the early evening.\",\"I spent 23 talking to Rylee, Kinsley on various topics in the early evening.\"\n15109,2014/06/21,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n15110,2014/06/21,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n15111,2014/06/22,I went on a date with Jackson on 2014/06/22 at a park,I went on a date with Jackson on 2014/06/22 at a park\n15112,2014/06/22,I did running on 2014/06/22.,I did running on 2014/06/22.\n15113,2014/06/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n15114,2014/06/22,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n15115,2014/06/22,I ate a burger for dinner.,I ate a burger for dinner.\n15116,2014/06/22,I spent 45 talking to Olivia on various topics in the early afternoon.,I spent 45 talking to Olivia on various topics in the early afternoon.\n15117,2014/06/22,\"I talked to Rylee, Layla, Nevaeh for 45 minutes in the early evening.\",\"I talked to Rylee, Layla, Nevaeh for 45 minutes in the early evening.\"\n15118,2014/06/22,\"I talked to Lydia, Hazel, Nevaeh, Nora for 13 minutes in the late afternoon.\",\"I talked to Lydia, Hazel, Nevaeh, Nora for 13 minutes in the late afternoon.\"\n15119,2014/06/22,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n15120,2014/06/22,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n15121,2014/06/23,I did swimming on 2014/06/23.,I did swimming on 2014/06/23.\n15122,2014/06/23,\"I had oatmeal for breakfast with Avery, Benjamin, Jackson\",\"I had oatmeal for breakfast with Avery, Benjamin, Jackson\"\n15123,2014/06/23,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n15124,2014/06/23,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n15125,2014/06/23,\"I talked to Layla, Claire, Olivia for 9 minutes during lunch hours.\",\"I talked to Layla, Claire, Olivia for 9 minutes during lunch hours.\"\n15126,2014/06/23,\"I talked to Piper, Lydia, Avery, Piper for 20 minutes during lunch hours.\",\"I talked to Piper, Lydia, Avery, Piper for 20 minutes during lunch hours.\"\n15127,2014/06/23,I spent 8 talking to Kinsley on various topics late in the evening.,I spent 8 talking to Kinsley on various topics late in the evening.\n15128,2014/06/23,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n15129,2014/06/23,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n15130,2014/06/24,I did running on 2014/06/24.,I did running on 2014/06/24.\n15131,2014/06/24,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n15132,2014/06/24,I prepare pasta for lunch.,I prepare pasta for lunch.\n15133,2014/06/24,I ate a burger for dinner.,I ate a burger for dinner.\n15134,2014/06/24,\"I talked to Avery, Claire, Kinsley, Hazel for 21 minutes in the late afternoon.\",\"I talked to Avery, Claire, Kinsley, Hazel for 21 minutes in the late afternoon.\"\n15135,2014/06/24,\"I spent 19 talking to Lydia, Piper, Avery on various topics in the late afternoon.\",\"I spent 19 talking to Lydia, Piper, Avery on various topics in the late afternoon.\"\n15136,2014/06/24,\"I spent 7 talking to Piper, Hazel on various topics in the early afternoon.\",\"I spent 7 talking to Piper, Hazel on various topics in the early afternoon.\"\n15137,2014/06/24,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n15138,2014/06/24,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n15139,2014/06/25,I did biking on 2014/06/25.,I did biking on 2014/06/25.\n15140,2014/06/25,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n15141,2014/06/25,I prepare steak for lunch.,I prepare steak for lunch.\n15142,2014/06/25,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n15143,2014/06/25,I talked to Layla for 21 minutes in the morning.,I talked to Layla for 21 minutes in the morning.\n15144,2014/06/25,\"I talked to Piper, Lydia for 54 minutes in the early evening.\",\"I talked to Piper, Lydia for 54 minutes in the early evening.\"\n15145,2014/06/25,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n15146,2014/06/25,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n15147,2014/06/26,\"On 2014/06/26, I took Mila on a date to a park\",\"On 2014/06/26, I took Mila on a date to a park\"\n15148,2014/06/26,\"I went grocery shopping with Kayden. I bought some mangos, nectarines, tea, sports drinks, mineral water, and paper towel\",\"I went grocery shopping with Kayden. I bought some mangos, nectarines, tea, sports drinks, mineral water, and paper towel\"\n15149,2014/06/26,I did hiking on 2014/06/26.,I did hiking on 2014/06/26.\n15150,2014/06/26,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n15151,2014/06/26,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n15152,2014/06/26,\"I had tacos for dinner with Kinsley, Avery, Eva, Lydia, Nevaeh, Claire, Layla, Piper, Nora, Olivia, Hazel, Rylee\",\"I had tacos for dinner with Kinsley, Avery, Eva, Lydia, Nevaeh, Claire, Layla, Piper, Nora, Olivia, Hazel, Rylee\"\n15153,2014/06/26,\"I spent 38 talking to Nora, Piper, Avery, Piper on various topics in the morning.\",\"I spent 38 talking to Nora, Piper, Avery, Piper on various topics in the morning.\"\n15154,2014/06/26,\"I talked to Avery, Eva for 48 minutes in the morning.\",\"I talked to Avery, Eva for 48 minutes in the morning.\"\n15155,2014/06/26,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n15156,2014/06/26,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n15157,2014/06/27,I did running on 2014/06/27.,I did running on 2014/06/27.\n15158,2014/06/27,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n15159,2014/06/27,I had lunch. I ate steak.,I had lunch. I ate steak.\n15160,2014/06/27,\"I had fish and chips for dinner with Avery, Benjamin, Jackson\",\"I had fish and chips for dinner with Avery, Benjamin, Jackson\"\n15161,2014/06/27,\"I spent 28 talking to Lydia, Nora, Avery, Nevaeh on various topics late in the evening.\",\"I spent 28 talking to Lydia, Nora, Avery, Nevaeh on various topics late in the evening.\"\n15162,2014/06/27,I spent 12 talking to Avery on various topics late in the evening.,I spent 12 talking to Avery on various topics late in the evening.\n15163,2014/06/27,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n15164,2014/06/27,I watched a documentary for 45 minutes on TV today.,I watched a documentary for 45 minutes on TV today.\n15165,2014/06/28,I did hiking on 2014/06/28.,I did hiking on 2014/06/28.\n15166,2014/06/28,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n15167,2014/06/28,I ate pasta for lunch.,I ate pasta for lunch.\n15168,2014/06/28,I had sandwich for dinner with Avery,I had sandwich for dinner with Avery\n15169,2014/06/28,\"I talked to Claire, Olivia, Rylee, Nevaeh for 6 minutes late in the evening.\",\"I talked to Claire, Olivia, Rylee, Nevaeh for 6 minutes late in the evening.\"\n15170,2014/06/28,\"I spent 27 talking to Hazel, Olivia on various topics in the early afternoon.\",\"I spent 27 talking to Hazel, Olivia on various topics in the early afternoon.\"\n15171,2014/06/28,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n15172,2014/06/28,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n15173,2014/06/29,I did hiking on 2014/06/29.,I did hiking on 2014/06/29.\n15174,2014/06/29,\"I had eggs, sausages, and bread for breakfast with Nora, Rylee, Claire, Hazel, Avery\",\"I had eggs, sausages, and bread for breakfast with Nora, Rylee, Claire, Hazel, Avery\"\n15175,2014/06/29,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n15176,2014/06/29,I ate chinese food for dinner.,I ate chinese food for dinner.\n15177,2014/06/29,\"I spent 52 talking to Nevaeh, Avery, Eva, Layla on various topics late in the evening.\",\"I spent 52 talking to Nevaeh, Avery, Eva, Layla on various topics late in the evening.\"\n15178,2014/06/29,\"I talked to Lydia, Piper, Claire for 11 minutes late in the evening.\",\"I talked to Lydia, Piper, Claire for 11 minutes late in the evening.\"\n15179,2014/06/29,\"I talked to Olivia, Claire, Eva for 47 minutes in the early afternoon.\",\"I talked to Olivia, Claire, Eva for 47 minutes in the early afternoon.\"\n15180,2014/06/29,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n15181,2014/06/29,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n15182,2014/06/30,\"On 2014/06/30, I took Isla on a date to a boba shop\",\"On 2014/06/30, I took Isla on a date to a boba shop\"\n15183,2014/06/30,I did running on 2014/06/30.,I did running on 2014/06/30.\n15184,2014/06/30,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n15185,2014/06/30,I had lunch with Piper. I ate indian food.,I had lunch with Piper. I ate indian food.\n15186,2014/06/30,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n15187,2014/06/30,\"I spent 31 talking to Claire, Lydia on various topics in the morning.\",\"I spent 31 talking to Claire, Lydia on various topics in the morning.\"\n15188,2014/06/30,\"I spent 42 talking to Lydia, Eva on various topics in the late afternoon.\",\"I spent 42 talking to Lydia, Eva on various topics in the late afternoon.\"\n15189,2014/06/30,\"I spent 51 talking to Piper, Kinsley, Eva, Hazel on various topics late in the evening.\",\"I spent 51 talking to Piper, Kinsley, Eva, Hazel on various topics late in the evening.\"\n15190,2014/06/30,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n15191,2014/06/30,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n15192,2014/07/01,\"I bought some raspberries, milk, mouthwash, toilet paper, body lotion online.\",\"I bought some raspberries, milk, mouthwash, toilet paper, body lotion online.\"\n15193,2014/07/01,I did swimming on 2014/07/01.,I did swimming on 2014/07/01.\n15194,2014/07/01,\"I had breakfast with Nora, Kinsley, Nevaeh, Piper. I ate toast and cheese.\",\"I had breakfast with Nora, Kinsley, Nevaeh, Piper. I ate toast and cheese.\"\n15195,2014/07/01,\"I had lunch with Piper, Piper, Kinsley, Nora, Lydia, Hazel, Olivia, Rylee. I ate sushi.\",\"I had lunch with Piper, Piper, Kinsley, Nora, Lydia, Hazel, Olivia, Rylee. I ate sushi.\"\n15196,2014/07/01,I ate steak for dinner.,I ate steak for dinner.\n15197,2014/07/01,I spent 41 talking to Olivia on various topics during lunch hours.,I spent 41 talking to Olivia on various topics during lunch hours.\n15198,2014/07/01,\"I spent 55 talking to Kinsley, Piper, Lydia, Rylee on various topics in the morning.\",\"I spent 55 talking to Kinsley, Piper, Lydia, Rylee on various topics in the morning.\"\n15199,2014/07/01,\"I spent 39 talking to Piper, Nevaeh, Piper, Hazel on various topics in the morning.\",\"I spent 39 talking to Piper, Nevaeh, Piper, Hazel on various topics in the morning.\"\n15200,2014/07/01,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n15201,2014/07/01,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n15202,2014/07/02,I did swimming on 2014/07/02.,I did swimming on 2014/07/02.\n15203,2014/07/02,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n15204,2014/07/02,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n15205,2014/07/02,\"I had a burger for dinner with Carter, Emily\",\"I had a burger for dinner with Carter, Emily\"\n15206,2014/07/02,\"I spent 18 talking to Piper, Lydia on various topics in the late afternoon.\",\"I spent 18 talking to Piper, Lydia on various topics in the late afternoon.\"\n15207,2014/07/02,\"I spent 6 talking to Nora, Lydia, Layla on various topics in the early afternoon.\",\"I spent 6 talking to Nora, Lydia, Layla on various topics in the early afternoon.\"\n15208,2014/07/02,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n15209,2014/07/02,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n15210,2014/07/03,I took my parents for their for an annual dental cleaning and checkup on 2014/07/03 at the university hospital.,I took my parents for their for an annual dental cleaning and checkup on 2014/07/03 at the university hospital.\n15211,2014/07/03,I did running on 2014/07/03.,I did running on 2014/07/03.\n15212,2014/07/03,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n15213,2014/07/03,I ate sushi for lunch.,I ate sushi for lunch.\n15214,2014/07/03,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n15215,2014/07/03,\"I spent 13 talking to Kinsley, Hazel, Nevaeh on various topics late in the evening.\",\"I spent 13 talking to Kinsley, Hazel, Nevaeh on various topics late in the evening.\"\n15216,2014/07/03,\"I spent 14 talking to Olivia, Claire, Lydia, Hazel on various topics in the early evening.\",\"I spent 14 talking to Olivia, Claire, Lydia, Hazel on various topics in the early evening.\"\n15217,2014/07/03,\"I talked to Hazel, Nora, Olivia for 48 minutes in the early afternoon.\",\"I talked to Hazel, Nora, Olivia for 48 minutes in the early afternoon.\"\n15218,2014/07/03,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n15219,2014/07/03,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n15220,2014/07/04,I went on a date with Robert on 2014/07/04 at a coffee Shop,I went on a date with Robert on 2014/07/04 at a coffee Shop\n15221,2014/07/04,I did swimming on 2014/07/04.,I did swimming on 2014/07/04.\n15222,2014/07/04,\"I had breakfast with Carter, Andrew. I ate cereals.\",\"I had breakfast with Carter, Andrew. I ate cereals.\"\n15223,2014/07/04,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n15224,2014/07/04,\"I had sandwich for dinner with Kayden, Carter, Andrew\",\"I had sandwich for dinner with Kayden, Carter, Andrew\"\n15225,2014/07/04,\"I talked to Rylee, Nevaeh, Piper for 50 minutes late in the evening.\",\"I talked to Rylee, Nevaeh, Piper for 50 minutes late in the evening.\"\n15226,2014/07/04,\"I spent 47 talking to Avery, Hazel on various topics in the late afternoon.\",\"I spent 47 talking to Avery, Hazel on various topics in the late afternoon.\"\n15227,2014/07/04,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n15228,2014/07/04,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n15229,2014/07/05,I did weight lifting on 2014/07/05.,I did weight lifting on 2014/07/05.\n15230,2014/07/05,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n15231,2014/07/05,\"I had lunch with Nevaeh, Nora, Lydia, Olivia, Claire, Hazel, Kinsley, Rylee. I ate fish and chips.\",\"I had lunch with Nevaeh, Nora, Lydia, Olivia, Claire, Hazel, Kinsley, Rylee. I ate fish and chips.\"\n15232,2014/07/05,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n15233,2014/07/05,\"I talked to Nora, Claire, Rylee for 31 minutes in the late afternoon.\",\"I talked to Nora, Claire, Rylee for 31 minutes in the late afternoon.\"\n15234,2014/07/05,\"I talked to Claire, Piper, Rylee for 31 minutes late in the evening.\",\"I talked to Claire, Piper, Rylee for 31 minutes late in the evening.\"\n15235,2014/07/05,\"I spent 37 talking to Rylee, Eva, Layla on various topics during lunch hours.\",\"I spent 37 talking to Rylee, Eva, Layla on various topics during lunch hours.\"\n15236,2014/07/05,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n15237,2014/07/05,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n15238,2014/07/06,I did swimming on 2014/07/06.,I did swimming on 2014/07/06.\n15239,2014/07/06,\"I had breakfast with Hazel, Lydia, Kinsley, Nevaeh, Layla, Claire. I ate pancakes.\",\"I had breakfast with Hazel, Lydia, Kinsley, Nevaeh, Layla, Claire. I ate pancakes.\"\n15240,2014/07/06,I ate tacos for lunch.,I ate tacos for lunch.\n15241,2014/07/06,\"I had tacos for dinner with Piper, Eva, Olivia, Nevaeh, Claire, Piper, Hazel, Lydia, Avery\",\"I had tacos for dinner with Piper, Eva, Olivia, Nevaeh, Claire, Piper, Hazel, Lydia, Avery\"\n15242,2014/07/06,\"I talked to Hazel, Avery for 39 minutes in the early evening.\",\"I talked to Hazel, Avery for 39 minutes in the early evening.\"\n15243,2014/07/06,\"I talked to Claire, Hazel, Nevaeh, Rylee for 53 minutes in the morning.\",\"I talked to Claire, Hazel, Nevaeh, Rylee for 53 minutes in the morning.\"\n15244,2014/07/06,\"I spent 53 talking to Kinsley, Layla on various topics in the late afternoon.\",\"I spent 53 talking to Kinsley, Layla on various topics in the late afternoon.\"\n15245,2014/07/06,\"I talked to Lydia, Kinsley for 30 minutes in the early afternoon.\",\"I talked to Lydia, Kinsley for 30 minutes in the early afternoon.\"\n15246,2014/07/06,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n15247,2014/07/06,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n15248,2014/07/07,I did HIIT on 2014/07/07.,I did HIIT on 2014/07/07.\n15249,2014/07/07,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n15250,2014/07/07,I prepare tacos for lunch.,I prepare tacos for lunch.\n15251,2014/07/07,I ate steak for dinner.,I ate steak for dinner.\n15252,2014/07/07,\"I talked to Piper, Nora, Kinsley, Olivia for 54 minutes in the morning.\",\"I talked to Piper, Nora, Kinsley, Olivia for 54 minutes in the morning.\"\n15253,2014/07/07,\"I talked to Avery, Piper, Claire, Rylee for 36 minutes late in the evening.\",\"I talked to Avery, Piper, Claire, Rylee for 36 minutes late in the evening.\"\n15254,2014/07/07,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n15255,2014/07/07,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n15256,2014/07/08,I did weight lifting on 2014/07/08.,I did weight lifting on 2014/07/08.\n15257,2014/07/08,I had peanut-butter-jam for breakfast with Kayden,I had peanut-butter-jam for breakfast with Kayden\n15258,2014/07/08,\"I had lunch with Kinsley, Rylee, Piper, Nevaeh, Eva, Nora, Lydia, Layla, Hazel, Olivia. I ate pasta.\",\"I had lunch with Kinsley, Rylee, Piper, Nevaeh, Eva, Nora, Lydia, Layla, Hazel, Olivia. I ate pasta.\"\n15259,2014/07/08,\"I had dinner with Nora, Claire, Piper, Lydia, Rylee. I ate sushi.\",\"I had dinner with Nora, Claire, Piper, Lydia, Rylee. I ate sushi.\"\n15260,2014/07/08,\"I spent 37 talking to Lydia, Claire, Rylee, Layla on various topics in the morning.\",\"I spent 37 talking to Lydia, Claire, Rylee, Layla on various topics in the morning.\"\n15261,2014/07/08,\"I spent 25 talking to Lydia, Layla, Kinsley on various topics in the late afternoon.\",\"I spent 25 talking to Lydia, Layla, Kinsley on various topics in the late afternoon.\"\n15262,2014/07/08,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n15263,2014/07/08,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n15264,2014/07/09,\"I spent time gardening on 2014/07/09 with Emily, Andrew, Carter.\",\"I spent time gardening on 2014/07/09 with Emily, Andrew, Carter.\"\n15265,2014/07/09,I did running on 2014/07/09.,I did running on 2014/07/09.\n15266,2014/07/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n15267,2014/07/09,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n15268,2014/07/09,I had dinner with Andrew. I ate tacos.,I had dinner with Andrew. I ate tacos.\n15269,2014/07/09,\"I talked to Layla, Eva, Piper, Nora for 5 minutes in the early evening.\",\"I talked to Layla, Eva, Piper, Nora for 5 minutes in the early evening.\"\n15270,2014/07/09,\"I spent 7 talking to Piper, Avery on various topics in the late afternoon.\",\"I spent 7 talking to Piper, Avery on various topics in the late afternoon.\"\n15271,2014/07/09,\"I talked to Rylee, Hazel, Kinsley, Nevaeh for 42 minutes in the late afternoon.\",\"I talked to Rylee, Hazel, Kinsley, Nevaeh for 42 minutes in the late afternoon.\"\n15272,2014/07/09,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n15273,2014/07/09,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n15274,2014/07/10,\"On 2014/07/10, I took Henry on a date to a restaurant\",\"On 2014/07/10, I took Henry on a date to a restaurant\"\n15275,2014/07/10,I did weight lifting on 2014/07/10.,I did weight lifting on 2014/07/10.\n15276,2014/07/10,\"I had breakfast with Layla, Piper, Avery, Lydia, Nora, Kinsley, Olivia. I ate toast and cheese.\",\"I had breakfast with Layla, Piper, Avery, Lydia, Nora, Kinsley, Olivia. I ate toast and cheese.\"\n15277,2014/07/10,I ate a burger for lunch.,I ate a burger for lunch.\n15278,2014/07/10,I had dinner with Emily. I ate tacos.,I had dinner with Emily. I ate tacos.\n15279,2014/07/10,\"I talked to Olivia, Claire, Lydia, Avery for 28 minutes in the morning.\",\"I talked to Olivia, Claire, Lydia, Avery for 28 minutes in the morning.\"\n15280,2014/07/10,\"I talked to Layla, Nevaeh, Hazel, Nora for 35 minutes in the morning.\",\"I talked to Layla, Nevaeh, Hazel, Nora for 35 minutes in the morning.\"\n15281,2014/07/10,\"I talked to Hazel, Eva for 45 minutes in the early evening.\",\"I talked to Hazel, Eva for 45 minutes in the early evening.\"\n15282,2014/07/10,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n15283,2014/07/10,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n15284,2014/07/11,I did running on 2014/07/11.,I did running on 2014/07/11.\n15285,2014/07/11,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n15286,2014/07/11,\"I had lunch with Kinsley, Avery, Piper, Claire, Hazel, Eva, Layla. I ate fish and chips.\",\"I had lunch with Kinsley, Avery, Piper, Claire, Hazel, Eva, Layla. I ate fish and chips.\"\n15287,2014/07/11,I ate indian food for dinner.,I ate indian food for dinner.\n15288,2014/07/11,\"I spent 6 talking to Kinsley, Piper on various topics in the late afternoon.\",\"I spent 6 talking to Kinsley, Piper on various topics in the late afternoon.\"\n15289,2014/07/11,\"I talked to Piper, Eva, Nora for 24 minutes in the late afternoon.\",\"I talked to Piper, Eva, Nora for 24 minutes in the late afternoon.\"\n15290,2014/07/11,\"I talked to Hazel, Olivia for 34 minutes in the early afternoon.\",\"I talked to Hazel, Olivia for 34 minutes in the early afternoon.\"\n15291,2014/07/11,\"I spent 54 talking to Piper, Olivia on various topics in the late afternoon.\",\"I spent 54 talking to Piper, Olivia on various topics in the late afternoon.\"\n15292,2014/07/11,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n15293,2014/07/11,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n15294,2014/07/12,\"I really enjoyed cooking wonton soup on 2014/07/12 with Kayden, Carter at my place\",\"I really enjoyed cooking wonton soup on 2014/07/12 with Kayden, Carter at my place\"\n15295,2014/07/12,I spent some time meditation on 2014/07/12.,I spent some time meditation on 2014/07/12.\n15296,2014/07/12,I did weight lifting on 2014/07/12.,I did weight lifting on 2014/07/12.\n15297,2014/07/12,\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden\",\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden\"\n15298,2014/07/12,I prepare sushi for lunch.,I prepare sushi for lunch.\n15299,2014/07/12,I ate indian food for dinner.,I ate indian food for dinner.\n15300,2014/07/12,\"I talked to Layla, Lydia, Hazel, Piper for 30 minutes in the early evening.\",\"I talked to Layla, Lydia, Hazel, Piper for 30 minutes in the early evening.\"\n15301,2014/07/12,\"I spent 11 talking to Piper, Lydia, Hazel on various topics during lunch hours.\",\"I spent 11 talking to Piper, Lydia, Hazel on various topics during lunch hours.\"\n15302,2014/07/12,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n15303,2014/07/12,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n15304,2014/07/13,I went on a date with Landon on 2014/07/13 at a coffee Shop,I went on a date with Landon on 2014/07/13 at a coffee Shop\n15305,2014/07/13,I did swimming on 2014/07/13.,I did swimming on 2014/07/13.\n15306,2014/07/13,\"I had breakfast with Kayden, Emily, Andrew. I ate pancakes.\",\"I had breakfast with Kayden, Emily, Andrew. I ate pancakes.\"\n15307,2014/07/13,\"I had steak for lunch with Carter, Andrew, Kayden, Emily\",\"I had steak for lunch with Carter, Andrew, Kayden, Emily\"\n15308,2014/07/13,I ate steak for dinner.,I ate steak for dinner.\n15309,2014/07/13,\"I spent 34 talking to Nevaeh, Olivia, Lydia, Piper on various topics during lunch hours.\",\"I spent 34 talking to Nevaeh, Olivia, Lydia, Piper on various topics during lunch hours.\"\n15310,2014/07/13,\"I spent 46 talking to Hazel, Eva, Piper on various topics in the late afternoon.\",\"I spent 46 talking to Hazel, Eva, Piper on various topics in the late afternoon.\"\n15311,2014/07/13,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n15312,2014/07/13,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n15313,2014/07/14,\"I bought some raspberries, apples, tea, mango juice, orange juice, shampoo, facial wash, toothbrush, conditioner from the grocery store. I saw Emily at the grocery store.\",\"I bought some raspberries, apples, tea, mango juice, orange juice, shampoo, facial wash, toothbrush, conditioner from the grocery store. I saw Emily at the grocery store.\"\n15314,2014/07/14,I did HIIT on 2014/07/14.,I did HIIT on 2014/07/14.\n15315,2014/07/14,\"I had oatmeal for breakfast with Jackson, Willow, Avery\",\"I had oatmeal for breakfast with Jackson, Willow, Avery\"\n15316,2014/07/14,\"I had lunch with Kayden, Carter, Emily. I ate sandwich.\",\"I had lunch with Kayden, Carter, Emily. I ate sandwich.\"\n15317,2014/07/14,I prepare tacos for dinner.,I prepare tacos for dinner.\n15318,2014/07/14,\"I spent 44 talking to Hazel, Rylee on various topics in the late afternoon.\",\"I spent 44 talking to Hazel, Rylee on various topics in the late afternoon.\"\n15319,2014/07/14,\"I spent 8 talking to Lydia, Piper, Nora on various topics during lunch hours.\",\"I spent 8 talking to Lydia, Piper, Nora on various topics during lunch hours.\"\n15320,2014/07/14,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n15321,2014/07/14,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n15322,2014/07/15,I did running on 2014/07/15.,I did running on 2014/07/15.\n15323,2014/07/15,\"I had breakfast with Andrew, Kayden, Emily. I ate cereals.\",\"I had breakfast with Andrew, Kayden, Emily. I ate cereals.\"\n15324,2014/07/15,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n15325,2014/07/15,\"I had sandwich for dinner with Piper, Kinsley, Rylee, Layla, Claire, Avery\",\"I had sandwich for dinner with Piper, Kinsley, Rylee, Layla, Claire, Avery\"\n15326,2014/07/15,\"I spent 49 talking to Lydia, Rylee, Hazel on various topics late in the evening.\",\"I spent 49 talking to Lydia, Rylee, Hazel on various topics late in the evening.\"\n15327,2014/07/15,\"I spent 34 talking to Layla, Piper on various topics in the morning.\",\"I spent 34 talking to Layla, Piper on various topics in the morning.\"\n15328,2014/07/15,I talked to Nevaeh for 45 minutes late in the evening.,I talked to Nevaeh for 45 minutes late in the evening.\n15329,2014/07/15,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n15330,2014/07/15,I watched a documentary for 46 minutes on TV today.,I watched a documentary for 46 minutes on TV today.\n15331,2014/07/16,I did biking on 2014/07/16.,I did biking on 2014/07/16.\n15332,2014/07/16,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n15333,2014/07/16,\"I had fish and chips for lunch with Nevaeh, Olivia\",\"I had fish and chips for lunch with Nevaeh, Olivia\"\n15334,2014/07/16,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n15335,2014/07/16,I talked to Lydia for 18 minutes during lunch hours.,I talked to Lydia for 18 minutes during lunch hours.\n15336,2014/07/16,\"I spent 51 talking to Piper, Kinsley on various topics late in the evening.\",\"I spent 51 talking to Piper, Kinsley on various topics late in the evening.\"\n15337,2014/07/16,\"I spent 11 talking to Hazel, Avery on various topics in the early afternoon.\",\"I spent 11 talking to Hazel, Avery on various topics in the early afternoon.\"\n15338,2014/07/16,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n15339,2014/07/16,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n15340,2014/07/17,\"I spent time gardening on 2014/07/17 with Eva, Piper.\",\"I spent time gardening on 2014/07/17 with Eva, Piper.\"\n15341,2014/07/17,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n15342,2014/07/17,\"I had lunch with Andrew, Carter, Emily. I ate chinese food.\",\"I had lunch with Andrew, Carter, Emily. I ate chinese food.\"\n15343,2014/07/17,I prepare tacos for dinner.,I prepare tacos for dinner.\n15344,2014/07/17,I spent 6 talking to Lydia on various topics in the early evening.,I spent 6 talking to Lydia on various topics in the early evening.\n15345,2014/07/17,I spent 31 talking to Piper on various topics in the early afternoon.,I spent 31 talking to Piper on various topics in the early afternoon.\n15346,2014/07/17,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n15347,2014/07/17,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n15348,2014/07/18,I went on a date with Peyton on 2014/07/18 at a restaurant,I went on a date with Peyton on 2014/07/18 at a restaurant\n15349,2014/07/18,\"I bought some pineapples, milk, apple juice, mineral water, mouthwash from the grocery store. I saw Avery, Piper, Layla, Lydia, Rylee, Hazel at the grocery store.\",\"I bought some pineapples, milk, apple juice, mineral water, mouthwash from the grocery store. I saw Avery, Piper, Layla, Lydia, Rylee, Hazel at the grocery store.\"\n15350,2014/07/18,I did hiking on 2014/07/18.,I did hiking on 2014/07/18.\n15351,2014/07/18,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n15352,2014/07/18,I ate tacos for lunch.,I ate tacos for lunch.\n15353,2014/07/18,\"I had fish and chips for dinner with Rylee, Eva, Piper, Layla, Olivia\",\"I had fish and chips for dinner with Rylee, Eva, Piper, Layla, Olivia\"\n15354,2014/07/18,\"I talked to Layla, Rylee, Claire for 29 minutes during lunch hours.\",\"I talked to Layla, Rylee, Claire for 29 minutes during lunch hours.\"\n15355,2014/07/18,\"I spent 49 talking to Nevaeh, Eva on various topics in the early afternoon.\",\"I spent 49 talking to Nevaeh, Eva on various topics in the early afternoon.\"\n15356,2014/07/18,\"I talked to Rylee, Claire, Piper for 52 minutes in the early afternoon.\",\"I talked to Rylee, Claire, Piper for 52 minutes in the early afternoon.\"\n15357,2014/07/18,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n15358,2014/07/18,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n15359,2014/07/19,I went on a date with Richard on 2014/07/19 at a restaurant,I went on a date with Richard on 2014/07/19 at a restaurant\n15360,2014/07/19,I did weight lifting on 2014/07/19.,I did weight lifting on 2014/07/19.\n15361,2014/07/19,\"I had pancakes for breakfast with Emily, Andrew\",\"I had pancakes for breakfast with Emily, Andrew\"\n15362,2014/07/19,\"I had sushi for lunch with Nora, Piper, Claire, Layla, Kinsley, Olivia, Hazel, Eva, Lydia\",\"I had sushi for lunch with Nora, Piper, Claire, Layla, Kinsley, Olivia, Hazel, Eva, Lydia\"\n15363,2014/07/19,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n15364,2014/07/19,\"I talked to Piper, Avery, Olivia, Nora for 47 minutes in the morning.\",\"I talked to Piper, Avery, Olivia, Nora for 47 minutes in the morning.\"\n15365,2014/07/19,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n15366,2014/07/19,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n15367,2014/07/20,I did biking on 2014/07/20.,I did biking on 2014/07/20.\n15368,2014/07/20,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n15369,2014/07/20,I ate pasta for lunch.,I ate pasta for lunch.\n15370,2014/07/20,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n15371,2014/07/20,\"I spent 5 talking to Lydia, Kinsley on various topics in the early afternoon.\",\"I spent 5 talking to Lydia, Kinsley on various topics in the early afternoon.\"\n15372,2014/07/20,\"I talked to Nora, Eva, Rylee, Lydia for 26 minutes late in the evening.\",\"I talked to Nora, Eva, Rylee, Lydia for 26 minutes late in the evening.\"\n15373,2014/07/20,I talked to Piper for 54 minutes late in the evening.,I talked to Piper for 54 minutes late in the evening.\n15374,2014/07/20,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n15375,2014/07/20,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n15376,2014/07/21,\"I went grocery shopping. I bought some oranges, apricots, pineapples, mango juice, orange juice, mineral water, and toothbrush, shampoo\",\"I went grocery shopping. I bought some oranges, apricots, pineapples, mango juice, orange juice, mineral water, and toothbrush, shampoo\"\n15377,2014/07/21,I did weight lifting on 2014/07/21.,I did weight lifting on 2014/07/21.\n15378,2014/07/21,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n15379,2014/07/21,I ate tacos for lunch.,I ate tacos for lunch.\n15380,2014/07/21,\"I had dinner with Carter, Kayden, Andrew. I ate steak.\",\"I had dinner with Carter, Kayden, Andrew. I ate steak.\"\n15381,2014/07/21,\"I spent 36 talking to Rylee, Layla on various topics in the early afternoon.\",\"I spent 36 talking to Rylee, Layla on various topics in the early afternoon.\"\n15382,2014/07/21,\"I spent 11 talking to Eva, Avery on various topics in the early evening.\",\"I spent 11 talking to Eva, Avery on various topics in the early evening.\"\n15383,2014/07/21,\"I talked to Hazel, Avery, Piper, Rylee for 44 minutes in the early evening.\",\"I talked to Hazel, Avery, Piper, Rylee for 44 minutes in the early evening.\"\n15384,2014/07/21,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n15385,2014/07/21,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n15386,2014/07/22,I did biking on 2014/07/22.,I did biking on 2014/07/22.\n15387,2014/07/22,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n15388,2014/07/22,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n15389,2014/07/22,\"I had dinner with Benjamin, Jackson. I ate sushi.\",\"I had dinner with Benjamin, Jackson. I ate sushi.\"\n15390,2014/07/22,\"I spent 30 talking to Lydia, Layla on various topics in the early evening.\",\"I spent 30 talking to Lydia, Layla on various topics in the early evening.\"\n15391,2014/07/22,\"I talked to Hazel, Piper, Piper, Kinsley for 51 minutes late in the evening.\",\"I talked to Hazel, Piper, Piper, Kinsley for 51 minutes late in the evening.\"\n15392,2014/07/22,I spent 40 talking to Layla on various topics in the late afternoon.,I spent 40 talking to Layla on various topics in the late afternoon.\n15393,2014/07/22,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n15394,2014/07/22,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n15395,2014/07/23,I did weight lifting on 2014/07/23.,I did weight lifting on 2014/07/23.\n15396,2014/07/23,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n15397,2014/07/23,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n15398,2014/07/23,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n15399,2014/07/23,\"I spent 46 talking to Lydia, Nora on various topics late in the evening.\",\"I spent 46 talking to Lydia, Nora on various topics late in the evening.\"\n15400,2014/07/23,\"I talked to Eva, Piper for 14 minutes in the early evening.\",\"I talked to Eva, Piper for 14 minutes in the early evening.\"\n15401,2014/07/23,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n15402,2014/07/23,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n15403,2014/07/24,\"I went grocery shopping with Carter. I bought some watermelons, raspberries, mandarins, oranges, sports drinks, tea, and paper towel\",\"I went grocery shopping with Carter. I bought some watermelons, raspberries, mandarins, oranges, sports drinks, tea, and paper towel\"\n15404,2014/07/24,I did HIIT on 2014/07/24.,I did HIIT on 2014/07/24.\n15405,2014/07/24,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n15406,2014/07/24,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n15407,2014/07/24,\"I had fish and chips for dinner with Willow, Benjamin\",\"I had fish and chips for dinner with Willow, Benjamin\"\n15408,2014/07/24,I talked to Avery for 50 minutes in the late afternoon.,I talked to Avery for 50 minutes in the late afternoon.\n15409,2014/07/24,\"I talked to Nevaeh, Claire, Rylee, Layla for 12 minutes in the early evening.\",\"I talked to Nevaeh, Claire, Rylee, Layla for 12 minutes in the early evening.\"\n15410,2014/07/24,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n15411,2014/07/24,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n15412,2014/07/25,\"I had pancakes for breakfast with Avery, Benjamin, Jackson\",\"I had pancakes for breakfast with Avery, Benjamin, Jackson\"\n15413,2014/07/25,I had lunch with Carter. I ate sandwich.,I had lunch with Carter. I ate sandwich.\n15414,2014/07/25,\"I had dinner with Andrew, Carter. I ate indian food.\",\"I had dinner with Andrew, Carter. I ate indian food.\"\n15415,2014/07/25,\"I spent 22 talking to Rylee, Layla on various topics during lunch hours.\",\"I spent 22 talking to Rylee, Layla on various topics during lunch hours.\"\n15416,2014/07/25,\"I spent 17 talking to Rylee, Hazel, Piper on various topics in the early evening.\",\"I spent 17 talking to Rylee, Hazel, Piper on various topics in the early evening.\"\n15417,2014/07/25,\"I talked to Avery, Eva, Layla for 13 minutes in the late afternoon.\",\"I talked to Avery, Eva, Layla for 13 minutes in the late afternoon.\"\n15418,2014/07/25,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n15419,2014/07/25,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n15420,2014/07/26,I did weight lifting on 2014/07/26.,I did weight lifting on 2014/07/26.\n15421,2014/07/26,I had oatmeal for breakfast with Jackson,I had oatmeal for breakfast with Jackson\n15422,2014/07/26,\"I had lunch with Kinsley, Piper, Rylee, Piper, Lydia, Olivia, Eva, Layla, Avery, Nora, Hazel. I ate indian food.\",\"I had lunch with Kinsley, Piper, Rylee, Piper, Lydia, Olivia, Eva, Layla, Avery, Nora, Hazel. I ate indian food.\"\n15423,2014/07/26,I had tacos for dinner with Jackson,I had tacos for dinner with Jackson\n15424,2014/07/26,\"I spent 52 talking to Nevaeh, Rylee on various topics in the late afternoon.\",\"I spent 52 talking to Nevaeh, Rylee on various topics in the late afternoon.\"\n15425,2014/07/26,I spent 48 talking to Rylee on various topics in the morning.,I spent 48 talking to Rylee on various topics in the morning.\n15426,2014/07/26,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n15427,2014/07/26,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n15428,2014/07/27,I really enjoyed learning a language on 2014/07/27,I really enjoyed learning a language on 2014/07/27\n15429,2014/07/27,\"I went grocery shopping. I bought some mandarins, oranges, blueberries, guava, chocolate milk, and shampoo\",\"I went grocery shopping. I bought some mandarins, oranges, blueberries, guava, chocolate milk, and shampoo\"\n15430,2014/07/27,I did HIIT on 2014/07/27.,I did HIIT on 2014/07/27.\n15431,2014/07/27,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n15432,2014/07/27,\"I had lunch with Piper, Eva, Hazel, Claire. I ate fish and chips.\",\"I had lunch with Piper, Eva, Hazel, Claire. I ate fish and chips.\"\n15433,2014/07/27,\"I had dinner with Emily, Carter. I ate sushi.\",\"I had dinner with Emily, Carter. I ate sushi.\"\n15434,2014/07/27,I talked to Eva for 6 minutes in the early afternoon.,I talked to Eva for 6 minutes in the early afternoon.\n15435,2014/07/27,\"I spent 5 talking to Nora, Kinsley on various topics late in the evening.\",\"I spent 5 talking to Nora, Kinsley on various topics late in the evening.\"\n15436,2014/07/27,\"I talked to Piper, Olivia for 27 minutes in the early afternoon.\",\"I talked to Piper, Olivia for 27 minutes in the early afternoon.\"\n15437,2014/07/27,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n15438,2014/07/27,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n15439,2014/07/28,I did swimming on 2014/07/28.,I did swimming on 2014/07/28.\n15440,2014/07/28,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n15441,2014/07/28,\"I had lunch with Olivia, Nevaeh. I ate sushi.\",\"I had lunch with Olivia, Nevaeh. I ate sushi.\"\n15442,2014/07/28,\"I had a burger for dinner with Kayden, Emily, Carter\",\"I had a burger for dinner with Kayden, Emily, Carter\"\n15443,2014/07/28,\"I spent 43 talking to Kinsley, Rylee, Olivia on various topics during lunch hours.\",\"I spent 43 talking to Kinsley, Rylee, Olivia on various topics during lunch hours.\"\n15444,2014/07/28,\"I talked to Nora, Hazel, Rylee, Claire for 14 minutes in the late afternoon.\",\"I talked to Nora, Hazel, Rylee, Claire for 14 minutes in the late afternoon.\"\n15445,2014/07/28,\"I spent 15 talking to Hazel, Layla, Kinsley on various topics in the late afternoon.\",\"I spent 15 talking to Hazel, Layla, Kinsley on various topics in the late afternoon.\"\n15446,2014/07/28,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n15447,2014/07/28,I watched news for 28 minutes on TV today.,I watched news for 28 minutes on TV today.\n15448,2014/07/29,I went on a date with Jaxon on 2014/07/29 at a restaurant,I went on a date with Jaxon on 2014/07/29 at a restaurant\n15449,2014/07/29,I did biking on 2014/07/29.,I did biking on 2014/07/29.\n15450,2014/07/29,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n15451,2014/07/29,\"I had indian food for lunch with Nora, Avery, Lydia, Eva, Layla, Nevaeh, Olivia, Piper, Hazel, Claire\",\"I had indian food for lunch with Nora, Avery, Lydia, Eva, Layla, Nevaeh, Olivia, Piper, Hazel, Claire\"\n15452,2014/07/29,I prepare pasta for dinner.,I prepare pasta for dinner.\n15453,2014/07/29,\"I spent 10 talking to Avery, Piper on various topics in the early evening.\",\"I spent 10 talking to Avery, Piper on various topics in the early evening.\"\n15454,2014/07/29,\"I spent 18 talking to Rylee, Claire on various topics in the early evening.\",\"I spent 18 talking to Rylee, Claire on various topics in the early evening.\"\n15455,2014/07/29,\"I talked to Eva, Kinsley, Claire, Layla for 6 minutes in the early afternoon.\",\"I talked to Eva, Kinsley, Claire, Layla for 6 minutes in the early afternoon.\"\n15456,2014/07/29,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n15457,2014/07/29,I watched news for 28 minutes on TV today.,I watched news for 28 minutes on TV today.\n15458,2014/07/30,I went on a date with James on 2014/07/30 at a restaurant,I went on a date with James on 2014/07/30 at a restaurant\n15459,2014/07/30,I did running on 2014/07/30.,I did running on 2014/07/30.\n15460,2014/07/30,\"I had oatmeal for breakfast with Avery, Benjamin, Willow, Jackson\",\"I had oatmeal for breakfast with Avery, Benjamin, Willow, Jackson\"\n15461,2014/07/30,\"I had steak for lunch with Lydia, Rylee, Piper, Avery, Kinsley, Piper, Nora, Layla, Olivia, Claire\",\"I had steak for lunch with Lydia, Rylee, Piper, Avery, Kinsley, Piper, Nora, Layla, Olivia, Claire\"\n15462,2014/07/30,I had dinner. I ate steak.,I had dinner. I ate steak.\n15463,2014/07/30,\"I talked to Hazel, Avery, Nora for 16 minutes in the morning.\",\"I talked to Hazel, Avery, Nora for 16 minutes in the morning.\"\n15464,2014/07/30,\"I talked to Lydia, Kinsley, Eva, Layla for 21 minutes in the morning.\",\"I talked to Lydia, Kinsley, Eva, Layla for 21 minutes in the morning.\"\n15465,2014/07/30,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n15466,2014/07/30,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n15467,2014/07/31,I did biking on 2014/07/31.,I did biking on 2014/07/31.\n15468,2014/07/31,\"I had breakfast with Jackson, Avery. I ate pancakes.\",\"I had breakfast with Jackson, Avery. I ate pancakes.\"\n15469,2014/07/31,I prepare sushi for lunch.,I prepare sushi for lunch.\n15470,2014/07/31,I prepare a burger for dinner.,I prepare a burger for dinner.\n15471,2014/07/31,\"I talked to Kinsley, Nora for 5 minutes late in the evening.\",\"I talked to Kinsley, Nora for 5 minutes late in the evening.\"\n15472,2014/07/31,\"I spent 32 talking to Lydia, Rylee on various topics in the early afternoon.\",\"I spent 32 talking to Lydia, Rylee on various topics in the early afternoon.\"\n15473,2014/07/31,\"I talked to Kinsley, Claire, Piper, Rylee for 42 minutes in the late afternoon.\",\"I talked to Kinsley, Claire, Piper, Rylee for 42 minutes in the late afternoon.\"\n15474,2014/07/31,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n15475,2014/07/31,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n15476,2014/08/01,I did biking on 2014/08/01.,I did biking on 2014/08/01.\n15477,2014/08/01,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n15478,2014/08/01,I ate a burger for lunch.,I ate a burger for lunch.\n15479,2014/08/01,\"I had a burger for dinner with Jackson, Benjamin, Willow\",\"I had a burger for dinner with Jackson, Benjamin, Willow\"\n15480,2014/08/01,I spent 47 talking to Kinsley on various topics in the early evening.,I spent 47 talking to Kinsley on various topics in the early evening.\n15481,2014/08/01,\"I talked to Hazel, Nevaeh for 47 minutes in the morning.\",\"I talked to Hazel, Nevaeh for 47 minutes in the morning.\"\n15482,2014/08/01,\"I spent 6 talking to Nora, Rylee on various topics in the early evening.\",\"I spent 6 talking to Nora, Rylee on various topics in the early evening.\"\n15483,2014/08/01,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n15484,2014/08/01,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n15485,2014/08/02,I did biking on 2014/08/02.,I did biking on 2014/08/02.\n15486,2014/08/02,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n15487,2014/08/02,\"I had sandwich for lunch with Benjamin, Willow, Avery, Jackson\",\"I had sandwich for lunch with Benjamin, Willow, Avery, Jackson\"\n15488,2014/08/02,\"I had tacos for dinner with Andrew, Emily, Kayden, Carter\",\"I had tacos for dinner with Andrew, Emily, Kayden, Carter\"\n15489,2014/08/02,\"I talked to Olivia, Lydia for 41 minutes in the early evening.\",\"I talked to Olivia, Lydia for 41 minutes in the early evening.\"\n15490,2014/08/02,\"I talked to Hazel, Nora, Claire, Olivia for 50 minutes in the late afternoon.\",\"I talked to Hazel, Nora, Claire, Olivia for 50 minutes in the late afternoon.\"\n15491,2014/08/02,\"I spent 50 talking to Eva, Piper, Rylee on various topics in the early evening.\",\"I spent 50 talking to Eva, Piper, Rylee on various topics in the early evening.\"\n15492,2014/08/02,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n15493,2014/08/02,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n15494,2014/08/03,I did hiking on 2014/08/03.,I did hiking on 2014/08/03.\n15495,2014/08/03,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n15496,2014/08/03,I had chinese food for lunch with Andrew,I had chinese food for lunch with Andrew\n15497,2014/08/03,I ate tacos for dinner.,I ate tacos for dinner.\n15498,2014/08/03,\"I spent 23 talking to Piper, Nevaeh, Rylee on various topics in the late afternoon.\",\"I spent 23 talking to Piper, Nevaeh, Rylee on various topics in the late afternoon.\"\n15499,2014/08/03,I talked to Hazel for 40 minutes in the late afternoon.,I talked to Hazel for 40 minutes in the late afternoon.\n15500,2014/08/03,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n15501,2014/08/03,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n15502,2014/08/04,I went on a date with Levi on 2014/08/04 at a restaurant,I went on a date with Levi on 2014/08/04 at a restaurant\n15503,2014/08/04,\"I went grocery shopping. I bought some mangos, orange juice, and body lotion, toilet paper\",\"I went grocery shopping. I bought some mangos, orange juice, and body lotion, toilet paper\"\n15504,2014/08/04,I did weight lifting on 2014/08/04.,I did weight lifting on 2014/08/04.\n15505,2014/08/04,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n15506,2014/08/04,I prepare a burger for lunch.,I prepare a burger for lunch.\n15507,2014/08/04,I prepare tacos for dinner.,I prepare tacos for dinner.\n15508,2014/08/04,I talked to Nevaeh for 13 minutes during lunch hours.,I talked to Nevaeh for 13 minutes during lunch hours.\n15509,2014/08/04,\"I talked to Piper, Avery, Nora, Lydia for 26 minutes in the early afternoon.\",\"I talked to Piper, Avery, Nora, Lydia for 26 minutes in the early afternoon.\"\n15510,2014/08/04,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n15511,2014/08/04,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n15512,2014/08/05,I did HIIT on 2014/08/05.,I did HIIT on 2014/08/05.\n15513,2014/08/05,\"I had oatmeal for breakfast with Kayden, Andrew, Emily, Carter\",\"I had oatmeal for breakfast with Kayden, Andrew, Emily, Carter\"\n15514,2014/08/05,I ate sandwich for lunch.,I ate sandwich for lunch.\n15515,2014/08/05,\"I had dinner with Carter, Andrew, Emily, Kayden. I ate a burger.\",\"I had dinner with Carter, Andrew, Emily, Kayden. I ate a burger.\"\n15516,2014/08/05,\"I spent 27 talking to Lydia, Layla, Piper, Avery on various topics late in the evening.\",\"I spent 27 talking to Lydia, Layla, Piper, Avery on various topics late in the evening.\"\n15517,2014/08/05,\"I talked to Layla, Piper, Kinsley, Olivia for 53 minutes during lunch hours.\",\"I talked to Layla, Piper, Kinsley, Olivia for 53 minutes during lunch hours.\"\n15518,2014/08/05,I talked to Kinsley for 18 minutes in the early evening.,I talked to Kinsley for 18 minutes in the early evening.\n15519,2014/08/05,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n15520,2014/08/05,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n15521,2014/08/06,I did running on 2014/08/06.,I did running on 2014/08/06.\n15522,2014/08/06,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n15523,2014/08/06,I had lunch with Andrew. I ate chinese food.,I had lunch with Andrew. I ate chinese food.\n15524,2014/08/06,\"I had pasta for dinner with Willow, Avery\",\"I had pasta for dinner with Willow, Avery\"\n15525,2014/08/06,\"I spent 38 talking to Piper, Kinsley, Nevaeh on various topics in the early afternoon.\",\"I spent 38 talking to Piper, Kinsley, Nevaeh on various topics in the early afternoon.\"\n15526,2014/08/06,\"I talked to Piper, Piper, Layla for 30 minutes during lunch hours.\",\"I talked to Piper, Piper, Layla for 30 minutes during lunch hours.\"\n15527,2014/08/06,\"I talked to Layla, Olivia, Nora for 43 minutes in the morning.\",\"I talked to Layla, Olivia, Nora for 43 minutes in the morning.\"\n15528,2014/08/06,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n15529,2014/08/06,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n15530,2014/08/07,I did running on 2014/08/07.,I did running on 2014/08/07.\n15531,2014/08/07,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n15532,2014/08/07,I ate sushi for lunch.,I ate sushi for lunch.\n15533,2014/08/07,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n15534,2014/08/07,\"I spent 32 talking to Claire, Piper, Kinsley, Eva on various topics in the morning.\",\"I spent 32 talking to Claire, Piper, Kinsley, Eva on various topics in the morning.\"\n15535,2014/08/07,I talked to Hazel for 53 minutes late in the evening.,I talked to Hazel for 53 minutes late in the evening.\n15536,2014/08/07,I spent 15 talking to Claire on various topics in the morning.,I spent 15 talking to Claire on various topics in the morning.\n15537,2014/08/07,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n15538,2014/08/07,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n15539,2014/08/08,I did running on 2014/08/08.,I did running on 2014/08/08.\n15540,2014/08/08,\"I had eggs, sausages, and bread for breakfast with Emily, Andrew, Kayden, Carter\",\"I had eggs, sausages, and bread for breakfast with Emily, Andrew, Kayden, Carter\"\n15541,2014/08/08,I prepare a burger for lunch.,I prepare a burger for lunch.\n15542,2014/08/08,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n15543,2014/08/08,\"I talked to Nevaeh, Hazel, Piper for 55 minutes in the early afternoon.\",\"I talked to Nevaeh, Hazel, Piper for 55 minutes in the early afternoon.\"\n15544,2014/08/08,\"I spent 14 talking to Olivia, Nevaeh, Hazel on various topics in the early afternoon.\",\"I spent 14 talking to Olivia, Nevaeh, Hazel on various topics in the early afternoon.\"\n15545,2014/08/08,I talked to Piper for 26 minutes in the early evening.,I talked to Piper for 26 minutes in the early evening.\n15546,2014/08/08,I talked to Piper for 39 minutes late in the evening.,I talked to Piper for 39 minutes late in the evening.\n15547,2014/08/08,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n15548,2014/08/08,I watched a tv series for 51 minutes on TV today.,I watched a tv series for 51 minutes on TV today.\n15549,2014/08/09,\"I went grocery shopping. I bought some mandarins, apricots, blueberries, peaches, apple juice, chocolate milk, mango juice, and toothbrush\",\"I went grocery shopping. I bought some mandarins, apricots, blueberries, peaches, apple juice, chocolate milk, mango juice, and toothbrush\"\n15550,2014/08/09,I did weight lifting on 2014/08/09.,I did weight lifting on 2014/08/09.\n15551,2014/08/09,\"I had pancakes for breakfast with Piper, Claire, Kinsley\",\"I had pancakes for breakfast with Piper, Claire, Kinsley\"\n15552,2014/08/09,I prepare sushi for lunch.,I prepare sushi for lunch.\n15553,2014/08/09,I ate pasta for dinner.,I ate pasta for dinner.\n15554,2014/08/09,I talked to Avery for 21 minutes in the morning.,I talked to Avery for 21 minutes in the morning.\n15555,2014/08/09,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n15556,2014/08/09,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n15557,2014/08/10,I went on a date with Lily on 2014/08/10 at a boba shop,I went on a date with Lily on 2014/08/10 at a boba shop\n15558,2014/08/10,I did HIIT on 2014/08/10.,I did HIIT on 2014/08/10.\n15559,2014/08/10,\"I had breakfast with Olivia, Rylee, Claire, Avery, Hazel, Piper, Layla. I ate toast and cheese.\",\"I had breakfast with Olivia, Rylee, Claire, Avery, Hazel, Piper, Layla. I ate toast and cheese.\"\n15560,2014/08/10,I ate sushi for lunch.,I ate sushi for lunch.\n15561,2014/08/10,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n15562,2014/08/10,\"I talked to Kinsley, Nevaeh, Rylee for 10 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh, Rylee for 10 minutes late in the evening.\"\n15563,2014/08/10,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n15564,2014/08/10,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n15565,2014/08/11,I did hiking on 2014/08/11.,I did hiking on 2014/08/11.\n15566,2014/08/11,\"I had breakfast with Piper, Piper. I ate oatmeal.\",\"I had breakfast with Piper, Piper. I ate oatmeal.\"\n15567,2014/08/11,\"I had a burger for lunch with Avery, Nora, Piper, Nevaeh, Layla, Kinsley, Claire, Eva, Hazel, Rylee, Piper\",\"I had a burger for lunch with Avery, Nora, Piper, Nevaeh, Layla, Kinsley, Claire, Eva, Hazel, Rylee, Piper\"\n15568,2014/08/11,I prepare tacos for dinner.,I prepare tacos for dinner.\n15569,2014/08/11,\"I talked to Avery, Hazel, Piper for 27 minutes during lunch hours.\",\"I talked to Avery, Hazel, Piper for 27 minutes during lunch hours.\"\n15570,2014/08/11,\"I spent 45 talking to Nora, Claire, Hazel, Rylee on various topics late in the evening.\",\"I spent 45 talking to Nora, Claire, Hazel, Rylee on various topics late in the evening.\"\n15571,2014/08/11,\"I spent 15 talking to Lydia, Hazel on various topics in the morning.\",\"I spent 15 talking to Lydia, Hazel on various topics in the morning.\"\n15572,2014/08/11,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n15573,2014/08/11,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n15574,2014/08/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n15575,2014/08/12,\"I had lunch with Avery, Kinsley, Olivia, Hazel, Piper, Rylee, Layla, Lydia, Piper. I ate fish and chips.\",\"I had lunch with Avery, Kinsley, Olivia, Hazel, Piper, Rylee, Layla, Lydia, Piper. I ate fish and chips.\"\n15576,2014/08/12,I had dinner. I ate steak.,I had dinner. I ate steak.\n15577,2014/08/12,\"I talked to Nevaeh, Olivia, Layla, Avery for 17 minutes in the early afternoon.\",\"I talked to Nevaeh, Olivia, Layla, Avery for 17 minutes in the early afternoon.\"\n15578,2014/08/12,\"I talked to Eva, Nevaeh, Olivia for 30 minutes during lunch hours.\",\"I talked to Eva, Nevaeh, Olivia for 30 minutes during lunch hours.\"\n15579,2014/08/12,I talked to Rylee for 54 minutes late in the evening.,I talked to Rylee for 54 minutes late in the evening.\n15580,2014/08/12,I talked to Nevaeh for 38 minutes in the morning.,I talked to Nevaeh for 38 minutes in the morning.\n15581,2014/08/12,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n15582,2014/08/12,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n15583,2014/08/13,\"I bought some strawberries, pears, guava, raspberries, soda, guava juice, paper towel, shampoo, body lotion from the grocery store. I saw Benjamin at the grocery store.\",\"I bought some strawberries, pears, guava, raspberries, soda, guava juice, paper towel, shampoo, body lotion from the grocery store. I saw Benjamin at the grocery store.\"\n15584,2014/08/13,I did swimming on 2014/08/13.,I did swimming on 2014/08/13.\n15585,2014/08/13,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n15586,2014/08/13,I prepare steak for lunch.,I prepare steak for lunch.\n15587,2014/08/13,I ate chinese food for dinner.,I ate chinese food for dinner.\n15588,2014/08/13,\"I spent 18 talking to Nevaeh, Kinsley on various topics in the late afternoon.\",\"I spent 18 talking to Nevaeh, Kinsley on various topics in the late afternoon.\"\n15589,2014/08/13,\"I spent 24 talking to Piper, Claire, Rylee, Eva on various topics in the early afternoon.\",\"I spent 24 talking to Piper, Claire, Rylee, Eva on various topics in the early afternoon.\"\n15590,2014/08/13,\"I spent 40 talking to Olivia, Claire, Layla on various topics in the early afternoon.\",\"I spent 40 talking to Olivia, Claire, Layla on various topics in the early afternoon.\"\n15591,2014/08/13,\"I spent 39 talking to Piper, Layla, Kinsley on various topics late in the evening.\",\"I spent 39 talking to Piper, Layla, Kinsley on various topics late in the evening.\"\n15592,2014/08/13,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n15593,2014/08/13,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n15594,2014/08/14,\"I spent time gardening on 2014/08/14 with Willow, Jackson.\",\"I spent time gardening on 2014/08/14 with Willow, Jackson.\"\n15595,2014/08/14,I did biking on 2014/08/14.,I did biking on 2014/08/14.\n15596,2014/08/14,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n15597,2014/08/14,\"I had sandwich for lunch with Avery, Kinsley, Nora, Hazel, Lydia, Eva\",\"I had sandwich for lunch with Avery, Kinsley, Nora, Hazel, Lydia, Eva\"\n15598,2014/08/14,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n15599,2014/08/14,I talked to Piper for 50 minutes in the morning.,I talked to Piper for 50 minutes in the morning.\n15600,2014/08/14,\"I talked to Avery, Piper, Layla, Kinsley for 53 minutes in the morning.\",\"I talked to Avery, Piper, Layla, Kinsley for 53 minutes in the morning.\"\n15601,2014/08/14,\"I talked to Avery, Rylee for 39 minutes in the early evening.\",\"I talked to Avery, Rylee for 39 minutes in the early evening.\"\n15602,2014/08/14,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n15603,2014/08/14,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n15604,2014/08/15,I went on a date with Lambert on 2014/08/15 at a park,I went on a date with Lambert on 2014/08/15 at a park\n15605,2014/08/15,I did biking on 2014/08/15.,I did biking on 2014/08/15.\n15606,2014/08/15,\"I had breakfast with Kinsley, Eva, Avery, Piper, Claire, Nevaeh, Olivia, Hazel, Lydia, Nora, Piper, Layla. I ate pancakes.\",\"I had breakfast with Kinsley, Eva, Avery, Piper, Claire, Nevaeh, Olivia, Hazel, Lydia, Nora, Piper, Layla. I ate pancakes.\"\n15607,2014/08/15,\"I had indian food for lunch with Carter, Kayden, Andrew, Emily\",\"I had indian food for lunch with Carter, Kayden, Andrew, Emily\"\n15608,2014/08/15,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n15609,2014/08/15,\"I spent 18 talking to Eva, Avery, Piper on various topics in the early evening.\",\"I spent 18 talking to Eva, Avery, Piper on various topics in the early evening.\"\n15610,2014/08/15,I spent 55 talking to Eva on various topics in the morning.,I spent 55 talking to Eva on various topics in the morning.\n15611,2014/08/15,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n15612,2014/08/15,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n15613,2014/08/16,\"I bought some oranges, mandarins, mineral water, tea, milk, guava juice, shaving cream, toothbrush, conditioner, body lotion online.\",\"I bought some oranges, mandarins, mineral water, tea, milk, guava juice, shaving cream, toothbrush, conditioner, body lotion online.\"\n15614,2014/08/16,I did running on 2014/08/16.,I did running on 2014/08/16.\n15615,2014/08/16,\"I had toast and cheese for breakfast with Hazel, Rylee, Piper, Eva, Claire\",\"I had toast and cheese for breakfast with Hazel, Rylee, Piper, Eva, Claire\"\n15616,2014/08/16,\"I had chinese food for lunch with Nora, Kinsley, Piper, Olivia, Hazel, Layla, Avery, Eva\",\"I had chinese food for lunch with Nora, Kinsley, Piper, Olivia, Hazel, Layla, Avery, Eva\"\n15617,2014/08/16,\"I had indian food for dinner with Kayden, Carter, Emily\",\"I had indian food for dinner with Kayden, Carter, Emily\"\n15618,2014/08/16,\"I talked to Nevaeh, Lydia, Claire for 14 minutes during lunch hours.\",\"I talked to Nevaeh, Lydia, Claire for 14 minutes during lunch hours.\"\n15619,2014/08/16,\"I talked to Lydia, Rylee for 48 minutes late in the evening.\",\"I talked to Lydia, Rylee for 48 minutes late in the evening.\"\n15620,2014/08/16,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n15621,2014/08/16,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n15622,2014/08/17,I did hiking on 2014/08/17.,I did hiking on 2014/08/17.\n15623,2014/08/17,I had pancakes for breakfast with Emily,I had pancakes for breakfast with Emily\n15624,2014/08/17,\"I had steak for lunch with Andrew, Carter\",\"I had steak for lunch with Andrew, Carter\"\n15625,2014/08/17,I ate sandwich for dinner.,I ate sandwich for dinner.\n15626,2014/08/17,I talked to Layla for 11 minutes during lunch hours.,I talked to Layla for 11 minutes during lunch hours.\n15627,2014/08/17,\"I talked to Claire, Rylee, Eva, Lydia for 55 minutes late in the evening.\",\"I talked to Claire, Rylee, Eva, Lydia for 55 minutes late in the evening.\"\n15628,2014/08/17,I spent 50 minutes on a book today.,I spent 50 minutes on a book today.\n15629,2014/08/17,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n15630,2014/08/18,I did running on 2014/08/18.,I did running on 2014/08/18.\n15631,2014/08/18,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n15632,2014/08/18,\"I had indian food for lunch with Willow, Avery\",\"I had indian food for lunch with Willow, Avery\"\n15633,2014/08/18,I prepare sushi for dinner.,I prepare sushi for dinner.\n15634,2014/08/18,\"I spent 46 talking to Avery, Nora, Piper, Nevaeh on various topics in the morning.\",\"I spent 46 talking to Avery, Nora, Piper, Nevaeh on various topics in the morning.\"\n15635,2014/08/18,\"I spent 24 talking to Rylee, Nora on various topics late in the evening.\",\"I spent 24 talking to Rylee, Nora on various topics late in the evening.\"\n15636,2014/08/18,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n15637,2014/08/18,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n15638,2014/08/19,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n15639,2014/08/19,I had lunch with Kayden. I ate fish and chips.,I had lunch with Kayden. I ate fish and chips.\n15640,2014/08/19,\"I had chinese food for dinner with Avery, Rylee, Lydia, Nora, Kinsley, Nevaeh, Olivia, Layla, Hazel, Claire, Piper, Piper\",\"I had chinese food for dinner with Avery, Rylee, Lydia, Nora, Kinsley, Nevaeh, Olivia, Layla, Hazel, Claire, Piper, Piper\"\n15641,2014/08/19,\"I spent 35 talking to Claire, Nevaeh on various topics in the early afternoon.\",\"I spent 35 talking to Claire, Nevaeh on various topics in the early afternoon.\"\n15642,2014/08/19,\"I talked to Lydia, Piper, Avery for 16 minutes in the early afternoon.\",\"I talked to Lydia, Piper, Avery for 16 minutes in the early afternoon.\"\n15643,2014/08/19,I spent 7 talking to Piper on various topics in the morning.,I spent 7 talking to Piper on various topics in the morning.\n15644,2014/08/19,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n15645,2014/08/19,I watched a documentary for 55 minutes on TV today.,I watched a documentary for 55 minutes on TV today.\n15646,2014/08/20,\"I really enjoyed cooking cashew chicken , chinese chicken wings, ramen noodle stir-fry on 2014/08/20 with Claire, Lydia at my place\",\"I really enjoyed cooking cashew chicken , chinese chicken wings, ramen noodle stir-fry on 2014/08/20 with Claire, Lydia at my place\"\n15647,2014/08/20,I did HIIT on 2014/08/20.,I did HIIT on 2014/08/20.\n15648,2014/08/20,\"I had breakfast with Piper, Claire, Lydia, Rylee, Nevaeh, Eva, Layla, Olivia, Nora, Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Claire, Lydia, Rylee, Nevaeh, Eva, Layla, Olivia, Nora, Avery. I ate eggs, sausages, and bread.\"\n15649,2014/08/20,I had tacos for lunch with Andrew,I had tacos for lunch with Andrew\n15650,2014/08/20,I ate a burger for dinner.,I ate a burger for dinner.\n15651,2014/08/20,\"I talked to Hazel, Avery for 48 minutes in the early afternoon.\",\"I talked to Hazel, Avery for 48 minutes in the early afternoon.\"\n15652,2014/08/20,\"I spent 36 talking to Avery, Claire, Nora, Hazel on various topics in the early afternoon.\",\"I spent 36 talking to Avery, Claire, Nora, Hazel on various topics in the early afternoon.\"\n15653,2014/08/20,\"I spent 9 talking to Kinsley, Rylee on various topics in the morning.\",\"I spent 9 talking to Kinsley, Rylee on various topics in the morning.\"\n15654,2014/08/20,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n15655,2014/08/20,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n15656,2014/08/21,I spent time learning a language on 2014/08/21 with Rylee.,I spent time learning a language on 2014/08/21 with Rylee.\n15657,2014/08/21,\"I bought some blackberries, mangos, peaches, chocolate milk, guava juice, shaving cream, shampoo, toothpaste, conditioner online.\",\"I bought some blackberries, mangos, peaches, chocolate milk, guava juice, shaving cream, shampoo, toothpaste, conditioner online.\"\n15658,2014/08/21,I did swimming on 2014/08/21.,I did swimming on 2014/08/21.\n15659,2014/08/21,\"I had breakfast with Andrew, Carter, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Carter, Kayden. I ate peanut-butter-jam.\"\n15660,2014/08/21,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n15661,2014/08/21,I ate steak for dinner.,I ate steak for dinner.\n15662,2014/08/21,\"I talked to Nevaeh, Hazel, Kinsley, Olivia for 36 minutes in the early evening.\",\"I talked to Nevaeh, Hazel, Kinsley, Olivia for 36 minutes in the early evening.\"\n15663,2014/08/21,\"I spent 31 talking to Lydia, Eva, Kinsley, Layla on various topics during lunch hours.\",\"I spent 31 talking to Lydia, Eva, Kinsley, Layla on various topics during lunch hours.\"\n15664,2014/08/21,\"I spent 18 talking to Piper, Layla, Hazel on various topics during lunch hours.\",\"I spent 18 talking to Piper, Layla, Hazel on various topics during lunch hours.\"\n15665,2014/08/21,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n15666,2014/08/21,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n15667,2014/08/22,I went on a date with Hazel on 2014/08/22 at a restaurant,I went on a date with Hazel on 2014/08/22 at a restaurant\n15668,2014/08/22,I did hiking on 2014/08/22.,I did hiking on 2014/08/22.\n15669,2014/08/22,\"I had peanut-butter-jam for breakfast with Hazel, Olivia, Kinsley, Nora\",\"I had peanut-butter-jam for breakfast with Hazel, Olivia, Kinsley, Nora\"\n15670,2014/08/22,I prepare steak for lunch.,I prepare steak for lunch.\n15671,2014/08/22,\"I had dinner with Piper, Kinsley, Nora, Claire, Nevaeh, Piper. I ate sandwich.\",\"I had dinner with Piper, Kinsley, Nora, Claire, Nevaeh, Piper. I ate sandwich.\"\n15672,2014/08/22,\"I talked to Kinsley, Layla for 23 minutes late in the evening.\",\"I talked to Kinsley, Layla for 23 minutes late in the evening.\"\n15673,2014/08/22,\"I spent 15 talking to Rylee, Hazel on various topics in the early evening.\",\"I spent 15 talking to Rylee, Hazel on various topics in the early evening.\"\n15674,2014/08/22,\"I talked to Nevaeh, Rylee, Olivia, Eva for 15 minutes late in the evening.\",\"I talked to Nevaeh, Rylee, Olivia, Eva for 15 minutes late in the evening.\"\n15675,2014/08/22,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n15676,2014/08/22,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n15677,2014/08/23,I did hiking on 2014/08/23.,I did hiking on 2014/08/23.\n15678,2014/08/23,\"I had breakfast with Olivia, Nevaeh, Hazel, Piper, Avery, Lydia, Eva, Claire, Piper, Nora. I ate toast and cheese.\",\"I had breakfast with Olivia, Nevaeh, Hazel, Piper, Avery, Lydia, Eva, Claire, Piper, Nora. I ate toast and cheese.\"\n15679,2014/08/23,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n15680,2014/08/23,I prepare tacos for dinner.,I prepare tacos for dinner.\n15681,2014/08/23,I talked to Avery for 49 minutes in the early afternoon.,I talked to Avery for 49 minutes in the early afternoon.\n15682,2014/08/23,\"I spent 13 talking to Lydia, Layla, Kinsley on various topics late in the evening.\",\"I spent 13 talking to Lydia, Layla, Kinsley on various topics late in the evening.\"\n15683,2014/08/23,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n15684,2014/08/23,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n15685,2014/08/24,I did running on 2014/08/24.,I did running on 2014/08/24.\n15686,2014/08/24,\"I had oatmeal for breakfast with Jackson, Willow, Avery\",\"I had oatmeal for breakfast with Jackson, Willow, Avery\"\n15687,2014/08/24,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n15688,2014/08/24,I prepare tacos for dinner.,I prepare tacos for dinner.\n15689,2014/08/24,\"I spent 12 talking to Piper, Nora on various topics in the morning.\",\"I spent 12 talking to Piper, Nora on various topics in the morning.\"\n15690,2014/08/24,\"I spent 34 talking to Kinsley, Avery on various topics in the morning.\",\"I spent 34 talking to Kinsley, Avery on various topics in the morning.\"\n15691,2014/08/24,\"I spent 13 talking to Avery, Kinsley, Piper, Nora on various topics late in the evening.\",\"I spent 13 talking to Avery, Kinsley, Piper, Nora on various topics late in the evening.\"\n15692,2014/08/24,\"I spent 34 talking to Eva, Nevaeh on various topics in the late afternoon.\",\"I spent 34 talking to Eva, Nevaeh on various topics in the late afternoon.\"\n15693,2014/08/24,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n15694,2014/08/24,I spent 29 minutes watching news on TV today.,I spent 29 minutes watching news on TV today.\n15695,2014/08/25,I did running on 2014/08/25.,I did running on 2014/08/25.\n15696,2014/08/25,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n15697,2014/08/25,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n15698,2014/08/25,\"I had dinner with Avery, Jackson, Willow, Benjamin. I ate fish and chips.\",\"I had dinner with Avery, Jackson, Willow, Benjamin. I ate fish and chips.\"\n15699,2014/08/25,\"I talked to Eva, Kinsley, Nevaeh for 38 minutes in the early afternoon.\",\"I talked to Eva, Kinsley, Nevaeh for 38 minutes in the early afternoon.\"\n15700,2014/08/25,I spent 14 talking to Nora on various topics in the late afternoon.,I spent 14 talking to Nora on various topics in the late afternoon.\n15701,2014/08/25,\"I talked to Claire, Piper, Layla for 45 minutes in the early afternoon.\",\"I talked to Claire, Piper, Layla for 45 minutes in the early afternoon.\"\n15702,2014/08/25,I spent 43 talking to Rylee on various topics during lunch hours.,I spent 43 talking to Rylee on various topics during lunch hours.\n15703,2014/08/25,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n15704,2014/08/25,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n15705,2014/08/26,\"I went grocery shopping. I bought some blueberries, mandarins, peaches, apples, soda, mineral water, and mouth wash\",\"I went grocery shopping. I bought some blueberries, mandarins, peaches, apples, soda, mineral water, and mouth wash\"\n15706,2014/08/26,I did HIIT on 2014/08/26.,I did HIIT on 2014/08/26.\n15707,2014/08/26,I had breakfast with Kayden. I ate cereals.,I had breakfast with Kayden. I ate cereals.\n15708,2014/08/26,I prepare a burger for lunch.,I prepare a burger for lunch.\n15709,2014/08/26,\"I had dinner with Emily, Carter, Kayden. I ate tacos.\",\"I had dinner with Emily, Carter, Kayden. I ate tacos.\"\n15710,2014/08/26,\"I spent 8 talking to Kinsley, Nevaeh, Layla on various topics during lunch hours.\",\"I spent 8 talking to Kinsley, Nevaeh, Layla on various topics during lunch hours.\"\n15711,2014/08/26,\"I talked to Piper, Lydia, Layla, Nora for 38 minutes late in the evening.\",\"I talked to Piper, Lydia, Layla, Nora for 38 minutes late in the evening.\"\n15712,2014/08/26,I talked to Olivia for 18 minutes in the early evening.,I talked to Olivia for 18 minutes in the early evening.\n15713,2014/08/26,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n15714,2014/08/26,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n15715,2014/08/27,I did hiking on 2014/08/27.,I did hiking on 2014/08/27.\n15716,2014/08/27,\"I had pancakes for breakfast with Emily, Kayden\",\"I had pancakes for breakfast with Emily, Kayden\"\n15717,2014/08/27,\"I had steak for lunch with Nevaeh, Nora, Lydia, Piper, Claire, Kinsley, Olivia\",\"I had steak for lunch with Nevaeh, Nora, Lydia, Piper, Claire, Kinsley, Olivia\"\n15718,2014/08/27,I had dinner. I ate steak.,I had dinner. I ate steak.\n15719,2014/08/27,I spent 18 talking to Piper on various topics in the early evening.,I spent 18 talking to Piper on various topics in the early evening.\n15720,2014/08/27,\"I spent 24 talking to Olivia, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 24 talking to Olivia, Nevaeh, Piper on various topics in the early afternoon.\"\n15721,2014/08/27,\"I spent 43 talking to Rylee, Olivia, Claire, Nora on various topics in the late afternoon.\",\"I spent 43 talking to Rylee, Olivia, Claire, Nora on various topics in the late afternoon.\"\n15722,2014/08/27,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n15723,2014/08/27,I spent 31 minutes watching a tv series on TV today.,I spent 31 minutes watching a tv series on TV today.\n15724,2014/08/28,\"I went grocery shopping. I bought some mandarins, peaches, pears, nectarines, milk, and toilet paper, paper towel, shaving cream, toothpaste\",\"I went grocery shopping. I bought some mandarins, peaches, pears, nectarines, milk, and toilet paper, paper towel, shaving cream, toothpaste\"\n15725,2014/08/28,I did swimming on 2014/08/28.,I did swimming on 2014/08/28.\n15726,2014/08/28,\"I had cereals for breakfast with Kayden, Emily, Carter\",\"I had cereals for breakfast with Kayden, Emily, Carter\"\n15727,2014/08/28,I prepare a burger for lunch.,I prepare a burger for lunch.\n15728,2014/08/28,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n15729,2014/08/28,\"I talked to Hazel, Lydia for 26 minutes in the early afternoon.\",\"I talked to Hazel, Lydia for 26 minutes in the early afternoon.\"\n15730,2014/08/28,I spent 22 talking to Rylee on various topics in the late afternoon.,I spent 22 talking to Rylee on various topics in the late afternoon.\n15731,2014/08/28,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n15732,2014/08/28,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n15733,2014/08/29,I did running on 2014/08/29.,I did running on 2014/08/29.\n15734,2014/08/29,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n15735,2014/08/29,I prepare steak for lunch.,I prepare steak for lunch.\n15736,2014/08/29,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n15737,2014/08/29,\"I talked to Nora, Nevaeh, Kinsley, Olivia for 29 minutes in the late afternoon.\",\"I talked to Nora, Nevaeh, Kinsley, Olivia for 29 minutes in the late afternoon.\"\n15738,2014/08/29,\"I spent 36 talking to Layla, Nevaeh on various topics in the morning.\",\"I spent 36 talking to Layla, Nevaeh on various topics in the morning.\"\n15739,2014/08/29,\"I talked to Nevaeh, Lydia for 16 minutes in the early evening.\",\"I talked to Nevaeh, Lydia for 16 minutes in the early evening.\"\n15740,2014/08/29,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n15741,2014/08/29,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n15742,2014/08/30,I really enjoyed gardening on 2014/08/30,I really enjoyed gardening on 2014/08/30\n15743,2014/08/30,I did hiking on 2014/08/30.,I did hiking on 2014/08/30.\n15744,2014/08/30,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n15745,2014/08/30,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n15746,2014/08/30,I prepare pasta for dinner.,I prepare pasta for dinner.\n15747,2014/08/30,\"I spent 33 talking to Layla, Piper on various topics in the early afternoon.\",\"I spent 33 talking to Layla, Piper on various topics in the early afternoon.\"\n15748,2014/08/30,\"I spent 29 talking to Olivia, Kinsley on various topics during lunch hours.\",\"I spent 29 talking to Olivia, Kinsley on various topics during lunch hours.\"\n15749,2014/08/30,\"I spent 42 talking to Kinsley, Hazel, Nora, Nevaeh on various topics in the early evening.\",\"I spent 42 talking to Kinsley, Hazel, Nora, Nevaeh on various topics in the early evening.\"\n15750,2014/08/30,\"I spent 30 talking to Rylee, Nora, Eva on various topics in the late afternoon.\",\"I spent 30 talking to Rylee, Nora, Eva on various topics in the late afternoon.\"\n15751,2014/08/30,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n15752,2014/08/30,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n15753,2014/08/31,\"I bought some blackberries, oranges, guava juice, chocolate milk, sports drinks, orange juice, facial wash, mouth wash, toothpaste from the grocery store. I saw Benjamin, Willow, Avery, Jackson at the grocery store.\",\"I bought some blackberries, oranges, guava juice, chocolate milk, sports drinks, orange juice, facial wash, mouth wash, toothpaste from the grocery store. I saw Benjamin, Willow, Avery, Jackson at the grocery store.\"\n15754,2014/08/31,\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Emily\",\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Emily\"\n15755,2014/08/31,I had sandwich for lunch with Kayden,I had sandwich for lunch with Kayden\n15756,2014/08/31,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n15757,2014/08/31,\"I talked to Piper, Kinsley, Claire for 43 minutes in the early evening.\",\"I talked to Piper, Kinsley, Claire for 43 minutes in the early evening.\"\n15758,2014/08/31,\"I spent 54 talking to Nevaeh, Olivia, Eva, Avery on various topics in the morning.\",\"I spent 54 talking to Nevaeh, Olivia, Eva, Avery on various topics in the morning.\"\n15759,2014/08/31,\"I talked to Kinsley, Eva, Hazel, Rylee for 30 minutes in the early evening.\",\"I talked to Kinsley, Eva, Hazel, Rylee for 30 minutes in the early evening.\"\n15760,2014/08/31,\"I spent 44 talking to Avery, Layla on various topics in the early evening.\",\"I spent 44 talking to Avery, Layla on various topics in the early evening.\"\n15761,2014/08/31,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n15762,2014/08/31,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n15763,2014/09/01,I went on a date with Genesis on 2014/09/01 at a restaurant,I went on a date with Genesis on 2014/09/01 at a restaurant\n15764,2014/09/01,\"I had eggs, sausages, and bread for breakfast with Eva, Nora, Rylee, Piper, Kinsley, Avery\",\"I had eggs, sausages, and bread for breakfast with Eva, Nora, Rylee, Piper, Kinsley, Avery\"\n15765,2014/09/01,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n15766,2014/09/01,I ate pasta for dinner.,I ate pasta for dinner.\n15767,2014/09/01,I talked to Olivia for 19 minutes late in the evening.,I talked to Olivia for 19 minutes late in the evening.\n15768,2014/09/01,\"I talked to Olivia, Kinsley, Claire for 14 minutes late in the evening.\",\"I talked to Olivia, Kinsley, Claire for 14 minutes late in the evening.\"\n15769,2014/09/01,\"I talked to Layla, Hazel, Claire, Avery for 18 minutes in the morning.\",\"I talked to Layla, Hazel, Claire, Avery for 18 minutes in the morning.\"\n15770,2014/09/01,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n15771,2014/09/01,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n15772,2014/09/02,I did HIIT on 2014/09/02.,I did HIIT on 2014/09/02.\n15773,2014/09/02,I ate cereals for breakfast.,I ate cereals for breakfast.\n15774,2014/09/02,I ate a burger for lunch.,I ate a burger for lunch.\n15775,2014/09/02,\"I had dinner with Benjamin, Willow, Avery, Jackson. I ate chinese food.\",\"I had dinner with Benjamin, Willow, Avery, Jackson. I ate chinese food.\"\n15776,2014/09/02,\"I spent 5 talking to Lydia, Piper, Rylee on various topics in the early afternoon.\",\"I spent 5 talking to Lydia, Piper, Rylee on various topics in the early afternoon.\"\n15777,2014/09/02,\"I spent 22 talking to Kinsley, Nora on various topics in the morning.\",\"I spent 22 talking to Kinsley, Nora on various topics in the morning.\"\n15778,2014/09/02,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n15779,2014/09/02,I watched a documentary for 41 minutes on TV today.,I watched a documentary for 41 minutes on TV today.\n15780,2014/09/03,I went on a date with Leah on 2014/09/03 at a coffee Shop,I went on a date with Leah on 2014/09/03 at a coffee Shop\n15781,2014/09/03,I did weight lifting on 2014/09/03.,I did weight lifting on 2014/09/03.\n15782,2014/09/03,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n15783,2014/09/03,I had lunch with Andrew. I ate fish and chips.,I had lunch with Andrew. I ate fish and chips.\n15784,2014/09/03,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n15785,2014/09/03,\"I talked to Lydia, Olivia for 17 minutes in the morning.\",\"I talked to Lydia, Olivia for 17 minutes in the morning.\"\n15786,2014/09/03,\"I spent 38 talking to Piper, Hazel on various topics in the early evening.\",\"I spent 38 talking to Piper, Hazel on various topics in the early evening.\"\n15787,2014/09/03,\"I talked to Kinsley, Hazel for 50 minutes in the early afternoon.\",\"I talked to Kinsley, Hazel for 50 minutes in the early afternoon.\"\n15788,2014/09/03,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n15789,2014/09/03,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n15790,2014/09/04,I did running on 2014/09/04.,I did running on 2014/09/04.\n15791,2014/09/04,I had breakfast with Avery. I ate cereals.,I had breakfast with Avery. I ate cereals.\n15792,2014/09/04,\"I had lunch with Lydia, Avery, Claire, Piper. I ate chinese food.\",\"I had lunch with Lydia, Avery, Claire, Piper. I ate chinese food.\"\n15793,2014/09/04,\"I had chinese food for dinner with Kayden, Carter\",\"I had chinese food for dinner with Kayden, Carter\"\n15794,2014/09/04,\"I talked to Olivia, Piper for 50 minutes during lunch hours.\",\"I talked to Olivia, Piper for 50 minutes during lunch hours.\"\n15795,2014/09/04,I talked to Piper for 46 minutes in the late afternoon.,I talked to Piper for 46 minutes in the late afternoon.\n15796,2014/09/04,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n15797,2014/09/04,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n15798,2014/09/05,\"I went grocery shopping. I bought some watermelons, raspberries, clementines, mineral water, and toothpaste, conditioner, shampoo, facial wash\",\"I went grocery shopping. I bought some watermelons, raspberries, clementines, mineral water, and toothpaste, conditioner, shampoo, facial wash\"\n15799,2014/09/05,I did HIIT on 2014/09/05.,I did HIIT on 2014/09/05.\n15800,2014/09/05,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n15801,2014/09/05,I ate a burger for lunch.,I ate a burger for lunch.\n15802,2014/09/05,I ate indian food for dinner.,I ate indian food for dinner.\n15803,2014/09/05,\"I talked to Eva, Claire, Avery, Piper for 10 minutes in the early evening.\",\"I talked to Eva, Claire, Avery, Piper for 10 minutes in the early evening.\"\n15804,2014/09/05,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n15805,2014/09/05,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n15806,2014/09/06,\"I went grocery shopping with Carter, Kayden, Andrew, Emily. I bought some oranges, clementines, strawberries, guava juice, orange juice, coffee, mango juice, and shaving cream\",\"I went grocery shopping with Carter, Kayden, Andrew, Emily. I bought some oranges, clementines, strawberries, guava juice, orange juice, coffee, mango juice, and shaving cream\"\n15807,2014/09/06,I did swimming on 2014/09/06.,I did swimming on 2014/09/06.\n15808,2014/09/06,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n15809,2014/09/06,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n15810,2014/09/06,I ate indian food for dinner.,I ate indian food for dinner.\n15811,2014/09/06,\"I talked to Piper, Rylee, Hazel for 19 minutes in the early evening.\",\"I talked to Piper, Rylee, Hazel for 19 minutes in the early evening.\"\n15812,2014/09/06,I talked to Piper for 50 minutes in the early evening.,I talked to Piper for 50 minutes in the early evening.\n15813,2014/09/06,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n15814,2014/09/06,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n15815,2014/09/07,I did swimming on 2014/09/07.,I did swimming on 2014/09/07.\n15816,2014/09/07,\"I had toast and cheese for breakfast with Piper, Kinsley, Hazel, Eva\",\"I had toast and cheese for breakfast with Piper, Kinsley, Hazel, Eva\"\n15817,2014/09/07,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n15818,2014/09/07,\"I had tacos for dinner with Layla, Avery, Lydia, Rylee, Claire, Eva, Piper, Nora, Hazel, Piper, Olivia, Kinsley, Nevaeh\",\"I had tacos for dinner with Layla, Avery, Lydia, Rylee, Claire, Eva, Piper, Nora, Hazel, Piper, Olivia, Kinsley, Nevaeh\"\n15819,2014/09/07,\"I talked to Claire, Hazel for 7 minutes in the early evening.\",\"I talked to Claire, Hazel for 7 minutes in the early evening.\"\n15820,2014/09/07,I spent 43 talking to Claire on various topics in the early evening.,I spent 43 talking to Claire on various topics in the early evening.\n15821,2014/09/07,\"I spent 30 talking to Nora, Olivia, Avery on various topics in the late afternoon.\",\"I spent 30 talking to Nora, Olivia, Avery on various topics in the late afternoon.\"\n15822,2014/09/07,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n15823,2014/09/07,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n15824,2014/09/08,\"On 2014/09/08, I took Elijah on a date to a boba shop\",\"On 2014/09/08, I took Elijah on a date to a boba shop\"\n15825,2014/09/08,I did HIIT on 2014/09/08.,I did HIIT on 2014/09/08.\n15826,2014/09/08,I had oatmeal for breakfast with Emily,I had oatmeal for breakfast with Emily\n15827,2014/09/08,I had lunch. I ate steak.,I had lunch. I ate steak.\n15828,2014/09/08,\"I had tacos for dinner with Avery, Nevaeh, Hazel\",\"I had tacos for dinner with Avery, Nevaeh, Hazel\"\n15829,2014/09/08,\"I spent 46 talking to Kinsley, Lydia, Claire, Piper on various topics late in the evening.\",\"I spent 46 talking to Kinsley, Lydia, Claire, Piper on various topics late in the evening.\"\n15830,2014/09/08,I spent 18 talking to Layla on various topics during lunch hours.,I spent 18 talking to Layla on various topics during lunch hours.\n15831,2014/09/08,\"I spent 31 talking to Rylee, Kinsley, Piper, Eva on various topics in the morning.\",\"I spent 31 talking to Rylee, Kinsley, Piper, Eva on various topics in the morning.\"\n15832,2014/09/08,\"I spent 28 talking to Olivia, Layla, Hazel, Nora on various topics during lunch hours.\",\"I spent 28 talking to Olivia, Layla, Hazel, Nora on various topics during lunch hours.\"\n15833,2014/09/08,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n15834,2014/09/08,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n15835,2014/09/09,I did swimming on 2014/09/09.,I did swimming on 2014/09/09.\n15836,2014/09/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n15837,2014/09/09,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n15838,2014/09/09,\"I had chinese food for dinner with Rylee, Claire, Olivia, Lydia\",\"I had chinese food for dinner with Rylee, Claire, Olivia, Lydia\"\n15839,2014/09/09,\"I talked to Eva, Nevaeh, Claire, Lydia for 46 minutes during lunch hours.\",\"I talked to Eva, Nevaeh, Claire, Lydia for 46 minutes during lunch hours.\"\n15840,2014/09/09,\"I spent 22 talking to Nevaeh, Lydia, Rylee on various topics during lunch hours.\",\"I spent 22 talking to Nevaeh, Lydia, Rylee on various topics during lunch hours.\"\n15841,2014/09/09,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n15842,2014/09/09,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n15843,2014/09/10,I did weight lifting on 2014/09/10.,I did weight lifting on 2014/09/10.\n15844,2014/09/10,\"I had cereals for breakfast with Nora, Avery, Olivia, Eva, Hazel, Piper, Claire, Nevaeh, Piper, Lydia\",\"I had cereals for breakfast with Nora, Avery, Olivia, Eva, Hazel, Piper, Claire, Nevaeh, Piper, Lydia\"\n15845,2014/09/10,\"I had pasta for lunch with Kayden, Emily, Andrew, Carter\",\"I had pasta for lunch with Kayden, Emily, Andrew, Carter\"\n15846,2014/09/10,I prepare sushi for dinner.,I prepare sushi for dinner.\n15847,2014/09/10,\"I spent 5 talking to Nevaeh, Rylee, Layla on various topics in the morning.\",\"I spent 5 talking to Nevaeh, Rylee, Layla on various topics in the morning.\"\n15848,2014/09/10,\"I talked to Olivia, Rylee, Lydia, Piper for 46 minutes late in the evening.\",\"I talked to Olivia, Rylee, Lydia, Piper for 46 minutes late in the evening.\"\n15849,2014/09/10,\"I talked to Kinsley, Claire, Olivia for 10 minutes in the morning.\",\"I talked to Kinsley, Claire, Olivia for 10 minutes in the morning.\"\n15850,2014/09/10,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n15851,2014/09/10,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n15852,2014/09/11,I went on a date with Elena on 2014/09/11 at a boba shop,I went on a date with Elena on 2014/09/11 at a boba shop\n15853,2014/09/11,\"I bought some strawberries, apples, raspberries, guava juice, tea, mineral water, soda, facial wash online.\",\"I bought some strawberries, apples, raspberries, guava juice, tea, mineral water, soda, facial wash online.\"\n15854,2014/09/11,I did weight lifting on 2014/09/11.,I did weight lifting on 2014/09/11.\n15855,2014/09/11,I had breakfast with Emily. I ate cereals.,I had breakfast with Emily. I ate cereals.\n15856,2014/09/11,I had lunch with Jackson. I ate fish and chips.,I had lunch with Jackson. I ate fish and chips.\n15857,2014/09/11,I ate chinese food for dinner.,I ate chinese food for dinner.\n15858,2014/09/11,I spent 41 talking to Nevaeh on various topics during lunch hours.,I spent 41 talking to Nevaeh on various topics during lunch hours.\n15859,2014/09/11,\"I talked to Eva, Piper for 38 minutes in the late afternoon.\",\"I talked to Eva, Piper for 38 minutes in the late afternoon.\"\n15860,2014/09/11,I talked to Piper for 30 minutes in the morning.,I talked to Piper for 30 minutes in the morning.\n15861,2014/09/11,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n15862,2014/09/11,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n15863,2014/09/12,I did swimming on 2014/09/12.,I did swimming on 2014/09/12.\n15864,2014/09/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n15865,2014/09/12,I ate steak for lunch.,I ate steak for lunch.\n15866,2014/09/12,\"I had tacos for dinner with Willow, Avery, Benjamin\",\"I had tacos for dinner with Willow, Avery, Benjamin\"\n15867,2014/09/12,\"I talked to Piper, Hazel, Piper for 40 minutes during lunch hours.\",\"I talked to Piper, Hazel, Piper for 40 minutes during lunch hours.\"\n15868,2014/09/12,I spent 28 talking to Kinsley on various topics during lunch hours.,I spent 28 talking to Kinsley on various topics during lunch hours.\n15869,2014/09/12,\"I talked to Rylee, Nora, Layla for 19 minutes in the morning.\",\"I talked to Rylee, Nora, Layla for 19 minutes in the morning.\"\n15870,2014/09/12,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n15871,2014/09/12,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n15872,2014/09/13,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n15873,2014/09/13,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n15874,2014/09/13,\"I had chinese food for dinner with Jackson, Benjamin, Avery\",\"I had chinese food for dinner with Jackson, Benjamin, Avery\"\n15875,2014/09/13,\"I spent 17 talking to Avery, Kinsley on various topics in the late afternoon.\",\"I spent 17 talking to Avery, Kinsley on various topics in the late afternoon.\"\n15876,2014/09/13,\"I talked to Avery, Layla, Claire, Kinsley for 42 minutes in the late afternoon.\",\"I talked to Avery, Layla, Claire, Kinsley for 42 minutes in the late afternoon.\"\n15877,2014/09/13,I spent 47 talking to Kinsley on various topics in the early evening.,I spent 47 talking to Kinsley on various topics in the early evening.\n15878,2014/09/13,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n15879,2014/09/13,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n15880,2014/09/14,\"On 2014/09/14, I took Peyton on a date to a coffee Shop\",\"On 2014/09/14, I took Peyton on a date to a coffee Shop\"\n15881,2014/09/14,I did running on 2014/09/14.,I did running on 2014/09/14.\n15882,2014/09/14,\"I had breakfast with Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter. I ate eggs, sausages, and bread.\"\n15883,2014/09/14,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n15884,2014/09/14,I ate sushi for dinner.,I ate sushi for dinner.\n15885,2014/09/14,\"I talked to Layla, Kinsley, Olivia, Nevaeh for 45 minutes late in the evening.\",\"I talked to Layla, Kinsley, Olivia, Nevaeh for 45 minutes late in the evening.\"\n15886,2014/09/14,\"I spent 40 talking to Kinsley, Claire, Piper, Avery on various topics during lunch hours.\",\"I spent 40 talking to Kinsley, Claire, Piper, Avery on various topics during lunch hours.\"\n15887,2014/09/14,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n15888,2014/09/14,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n15889,2014/09/15,I did hiking on 2014/09/15.,I did hiking on 2014/09/15.\n15890,2014/09/15,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n15891,2014/09/15,I prepare a burger for lunch.,I prepare a burger for lunch.\n15892,2014/09/15,\"I had dinner with Eva, Hazel, Nora, Layla, Piper, Claire, Rylee, Kinsley, Piper, Avery, Olivia, Nevaeh. I ate tacos.\",\"I had dinner with Eva, Hazel, Nora, Layla, Piper, Claire, Rylee, Kinsley, Piper, Avery, Olivia, Nevaeh. I ate tacos.\"\n15893,2014/09/15,\"I spent 53 talking to Piper, Layla on various topics in the early evening.\",\"I spent 53 talking to Piper, Layla on various topics in the early evening.\"\n15894,2014/09/15,\"I talked to Layla, Olivia for 47 minutes in the early evening.\",\"I talked to Layla, Olivia for 47 minutes in the early evening.\"\n15895,2014/09/15,\"I spent 26 talking to Hazel, Nora, Rylee, Eva on various topics in the morning.\",\"I spent 26 talking to Hazel, Nora, Rylee, Eva on various topics in the morning.\"\n15896,2014/09/15,\"I spent 41 talking to Rylee, Nevaeh, Eva, Lydia on various topics late in the evening.\",\"I spent 41 talking to Rylee, Nevaeh, Eva, Lydia on various topics late in the evening.\"\n15897,2014/09/15,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n15898,2014/09/15,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n15899,2014/09/16,\"I went grocery shopping with Avery, Benjamin. I bought some nectarines, tea, and conditioner, facial wash\",\"I went grocery shopping with Avery, Benjamin. I bought some nectarines, tea, and conditioner, facial wash\"\n15900,2014/09/16,I did biking on 2014/09/16.,I did biking on 2014/09/16.\n15901,2014/09/16,\"I had breakfast with Rylee, Olivia, Hazel, Nora, Lydia, Avery, Claire, Piper, Kinsley, Eva. I ate pancakes.\",\"I had breakfast with Rylee, Olivia, Hazel, Nora, Lydia, Avery, Claire, Piper, Kinsley, Eva. I ate pancakes.\"\n15902,2014/09/16,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n15903,2014/09/16,I ate pasta for dinner.,I ate pasta for dinner.\n15904,2014/09/16,I talked to Piper for 43 minutes in the early afternoon.,I talked to Piper for 43 minutes in the early afternoon.\n15905,2014/09/16,\"I talked to Hazel, Olivia, Claire, Nevaeh for 42 minutes during lunch hours.\",\"I talked to Hazel, Olivia, Claire, Nevaeh for 42 minutes during lunch hours.\"\n15906,2014/09/16,I talked to Nora for 36 minutes late in the evening.,I talked to Nora for 36 minutes late in the evening.\n15907,2014/09/16,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n15908,2014/09/16,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n15909,2014/09/17,I did HIIT on 2014/09/17.,I did HIIT on 2014/09/17.\n15910,2014/09/17,\"I had cereals for breakfast with Kayden, Andrew\",\"I had cereals for breakfast with Kayden, Andrew\"\n15911,2014/09/17,\"I had lunch with Benjamin, Avery. I ate fish and chips.\",\"I had lunch with Benjamin, Avery. I ate fish and chips.\"\n15912,2014/09/17,\"I had dinner with Layla, Piper, Eva, Piper, Claire, Nora, Nevaeh, Avery. I ate chinese food.\",\"I had dinner with Layla, Piper, Eva, Piper, Claire, Nora, Nevaeh, Avery. I ate chinese food.\"\n15913,2014/09/17,\"I talked to Rylee, Layla, Nevaeh, Olivia for 32 minutes in the morning.\",\"I talked to Rylee, Layla, Nevaeh, Olivia for 32 minutes in the morning.\"\n15914,2014/09/17,\"I spent 51 talking to Kinsley, Nora, Piper, Avery on various topics late in the evening.\",\"I spent 51 talking to Kinsley, Nora, Piper, Avery on various topics late in the evening.\"\n15915,2014/09/17,\"I talked to Layla, Rylee for 48 minutes in the morning.\",\"I talked to Layla, Rylee for 48 minutes in the morning.\"\n15916,2014/09/17,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n15917,2014/09/17,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n15918,2014/09/18,I went on a date with Josiah on 2014/09/18 at a coffee Shop,I went on a date with Josiah on 2014/09/18 at a coffee Shop\n15919,2014/09/18,\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate oatmeal.\",\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate oatmeal.\"\n15920,2014/09/18,\"I had lunch with Emily, Carter. I ate pasta.\",\"I had lunch with Emily, Carter. I ate pasta.\"\n15921,2014/09/18,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n15922,2014/09/18,\"I talked to Rylee, Avery, Hazel, Claire for 31 minutes during lunch hours.\",\"I talked to Rylee, Avery, Hazel, Claire for 31 minutes during lunch hours.\"\n15923,2014/09/18,\"I talked to Nevaeh, Layla, Eva for 17 minutes in the early afternoon.\",\"I talked to Nevaeh, Layla, Eva for 17 minutes in the early afternoon.\"\n15924,2014/09/18,I talked to Nora for 42 minutes late in the evening.,I talked to Nora for 42 minutes late in the evening.\n15925,2014/09/18,\"I talked to Olivia, Piper, Nora for 40 minutes in the early afternoon.\",\"I talked to Olivia, Piper, Nora for 40 minutes in the early afternoon.\"\n15926,2014/09/18,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n15927,2014/09/18,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n15928,2014/09/19,\"I bought some nectarines, pears, bananas, cherres, milk, toothbrush, facial wash, mouth wash, conditioner online.\",\"I bought some nectarines, pears, bananas, cherres, milk, toothbrush, facial wash, mouth wash, conditioner online.\"\n15929,2014/09/19,I did weight lifting on 2014/09/19.,I did weight lifting on 2014/09/19.\n15930,2014/09/19,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n15931,2014/09/19,\"I had sushi for lunch with Emily, Andrew, Kayden, Carter\",\"I had sushi for lunch with Emily, Andrew, Kayden, Carter\"\n15932,2014/09/19,I ate pasta for dinner.,I ate pasta for dinner.\n15933,2014/09/19,\"I talked to Hazel, Piper, Avery for 33 minutes during lunch hours.\",\"I talked to Hazel, Piper, Avery for 33 minutes during lunch hours.\"\n15934,2014/09/19,I talked to Rylee for 42 minutes in the morning.,I talked to Rylee for 42 minutes in the morning.\n15935,2014/09/19,\"I talked to Claire, Piper for 31 minutes in the early evening.\",\"I talked to Claire, Piper for 31 minutes in the early evening.\"\n15936,2014/09/19,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n15937,2014/09/19,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n15938,2014/09/20,I did hiking on 2014/09/20.,I did hiking on 2014/09/20.\n15939,2014/09/20,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n15940,2014/09/20,\"I had lunch with Emily, Andrew. I ate tacos.\",\"I had lunch with Emily, Andrew. I ate tacos.\"\n15941,2014/09/20,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n15942,2014/09/20,\"I spent 26 talking to Piper, Avery, Rylee, Piper on various topics in the late afternoon.\",\"I spent 26 talking to Piper, Avery, Rylee, Piper on various topics in the late afternoon.\"\n15943,2014/09/20,\"I talked to Layla, Claire, Piper for 19 minutes in the early afternoon.\",\"I talked to Layla, Claire, Piper for 19 minutes in the early afternoon.\"\n15944,2014/09/20,\"I spent 37 talking to Olivia, Piper, Avery on various topics during lunch hours.\",\"I spent 37 talking to Olivia, Piper, Avery on various topics during lunch hours.\"\n15945,2014/09/20,I spent 22 talking to Hazel on various topics in the early evening.,I spent 22 talking to Hazel on various topics in the early evening.\n15946,2014/09/20,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n15947,2014/09/20,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n15948,2014/09/21,I really enjoyed gardening on 2014/09/21,I really enjoyed gardening on 2014/09/21\n15949,2014/09/21,I did running on 2014/09/21.,I did running on 2014/09/21.\n15950,2014/09/21,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n15951,2014/09/21,\"I had lunch with Emily, Kayden, Andrew, Carter. I ate a burger.\",\"I had lunch with Emily, Kayden, Andrew, Carter. I ate a burger.\"\n15952,2014/09/21,I prepare indian food for dinner.,I prepare indian food for dinner.\n15953,2014/09/21,\"I talked to Nora, Nevaeh for 24 minutes during lunch hours.\",\"I talked to Nora, Nevaeh for 24 minutes during lunch hours.\"\n15954,2014/09/21,\"I talked to Nora, Layla, Eva for 26 minutes in the late afternoon.\",\"I talked to Nora, Layla, Eva for 26 minutes in the late afternoon.\"\n15955,2014/09/21,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n15956,2014/09/21,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n15957,2014/09/22,\"I bought some raspberries, guava juice, mango juice, mineral water, soda, shampoo online.\",\"I bought some raspberries, guava juice, mango juice, mineral water, soda, shampoo online.\"\n15958,2014/09/22,I did swimming on 2014/09/22.,I did swimming on 2014/09/22.\n15959,2014/09/22,\"I had pancakes for breakfast with Kayden, Andrew, Emily\",\"I had pancakes for breakfast with Kayden, Andrew, Emily\"\n15960,2014/09/22,I ate indian food for lunch.,I ate indian food for lunch.\n15961,2014/09/22,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n15962,2014/09/22,I spent 18 talking to Piper on various topics in the morning.,I spent 18 talking to Piper on various topics in the morning.\n15963,2014/09/22,\"I spent 27 talking to Nevaeh, Lydia, Nora on various topics during lunch hours.\",\"I spent 27 talking to Nevaeh, Lydia, Nora on various topics during lunch hours.\"\n15964,2014/09/22,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n15965,2014/09/22,I spent 27 minutes watching a documentary on TV today.,I spent 27 minutes watching a documentary on TV today.\n15966,2014/09/23,I did swimming on 2014/09/23.,I did swimming on 2014/09/23.\n15967,2014/09/23,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n15968,2014/09/23,I prepare steak for lunch.,I prepare steak for lunch.\n15969,2014/09/23,\"I had sushi for dinner with Emily, Kayden\",\"I had sushi for dinner with Emily, Kayden\"\n15970,2014/09/23,\"I talked to Nora, Olivia, Rylee for 31 minutes in the late afternoon.\",\"I talked to Nora, Olivia, Rylee for 31 minutes in the late afternoon.\"\n15971,2014/09/23,\"I spent 43 talking to Olivia, Piper, Eva on various topics in the early afternoon.\",\"I spent 43 talking to Olivia, Piper, Eva on various topics in the early afternoon.\"\n15972,2014/09/23,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n15973,2014/09/23,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n15974,2014/09/24,\"On 2014/09/24, I took Lambert on a date to a restaurant\",\"On 2014/09/24, I took Lambert on a date to a restaurant\"\n15975,2014/09/24,I did weight lifting on 2014/09/24.,I did weight lifting on 2014/09/24.\n15976,2014/09/24,\"I had breakfast with Carter, Emily. I ate pancakes.\",\"I had breakfast with Carter, Emily. I ate pancakes.\"\n15977,2014/09/24,I had chinese food for lunch with Emily,I had chinese food for lunch with Emily\n15978,2014/09/24,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n15979,2014/09/24,\"I spent 18 talking to Rylee, Claire, Nevaeh, Lydia on various topics during lunch hours.\",\"I spent 18 talking to Rylee, Claire, Nevaeh, Lydia on various topics during lunch hours.\"\n15980,2014/09/24,\"I spent 52 talking to Lydia, Nora, Olivia on various topics in the early afternoon.\",\"I spent 52 talking to Lydia, Nora, Olivia on various topics in the early afternoon.\"\n15981,2014/09/24,I talked to Eva for 41 minutes in the early afternoon.,I talked to Eva for 41 minutes in the early afternoon.\n15982,2014/09/24,\"I talked to Piper, Nevaeh, Avery, Olivia for 30 minutes in the early evening.\",\"I talked to Piper, Nevaeh, Avery, Olivia for 30 minutes in the early evening.\"\n15983,2014/09/24,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n15984,2014/09/24,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n15985,2014/09/25,\"I bought some peaches, clementines, bananas, guava juice, chocolate milk, mango juice, mouth wash, paper towel, mouthwash from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\",\"I bought some peaches, clementines, bananas, guava juice, chocolate milk, mango juice, mouth wash, paper towel, mouthwash from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\"\n15986,2014/09/25,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n15987,2014/09/25,I prepare indian food for lunch.,I prepare indian food for lunch.\n15988,2014/09/25,I had pasta for dinner with Emily,I had pasta for dinner with Emily\n15989,2014/09/25,\"I talked to Rylee, Layla for 25 minutes late in the evening.\",\"I talked to Rylee, Layla for 25 minutes late in the evening.\"\n15990,2014/09/25,I talked to Hazel for 46 minutes in the early afternoon.,I talked to Hazel for 46 minutes in the early afternoon.\n15991,2014/09/25,\"I talked to Avery, Eva for 43 minutes during lunch hours.\",\"I talked to Avery, Eva for 43 minutes during lunch hours.\"\n15992,2014/09/25,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n15993,2014/09/25,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n15994,2014/09/26,I did swimming on 2014/09/26.,I did swimming on 2014/09/26.\n15995,2014/09/26,\"I had breakfast with Jackson, Benjamin, Avery. I ate toast and cheese.\",\"I had breakfast with Jackson, Benjamin, Avery. I ate toast and cheese.\"\n15996,2014/09/26,I ate chinese food for lunch.,I ate chinese food for lunch.\n15997,2014/09/26,I prepare sushi for dinner.,I prepare sushi for dinner.\n15998,2014/09/26,\"I spent 22 talking to Olivia, Layla on various topics during lunch hours.\",\"I spent 22 talking to Olivia, Layla on various topics during lunch hours.\"\n15999,2014/09/26,\"I talked to Nora, Claire, Hazel for 19 minutes in the late afternoon.\",\"I talked to Nora, Claire, Hazel for 19 minutes in the late afternoon.\"\n16000,2014/09/26,\"I spent 38 talking to Hazel, Kinsley, Nevaeh, Claire on various topics in the morning.\",\"I spent 38 talking to Hazel, Kinsley, Nevaeh, Claire on various topics in the morning.\"\n16001,2014/09/26,I talked to Nevaeh for 5 minutes in the morning.,I talked to Nevaeh for 5 minutes in the morning.\n16002,2014/09/26,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n16003,2014/09/26,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n16004,2014/09/27,\"I went grocery shopping. I bought some guava, clementines, coffee, mango juice, and body lotion, toothpaste\",\"I went grocery shopping. I bought some guava, clementines, coffee, mango juice, and body lotion, toothpaste\"\n16005,2014/09/27,I did HIIT on 2014/09/27.,I did HIIT on 2014/09/27.\n16006,2014/09/27,\"I had breakfast with Andrew, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Emily. I ate peanut-butter-jam.\"\n16007,2014/09/27,I prepare indian food for lunch.,I prepare indian food for lunch.\n16008,2014/09/27,\"I had dinner with Olivia, Hazel, Claire, Nora, Rylee. I ate indian food.\",\"I had dinner with Olivia, Hazel, Claire, Nora, Rylee. I ate indian food.\"\n16009,2014/09/27,I talked to Eva for 9 minutes in the early afternoon.,I talked to Eva for 9 minutes in the early afternoon.\n16010,2014/09/27,I spent 25 talking to Eva on various topics in the early evening.,I spent 25 talking to Eva on various topics in the early evening.\n16011,2014/09/27,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n16012,2014/09/27,I watched a tv series for 49 minutes on TV today.,I watched a tv series for 49 minutes on TV today.\n16013,2014/09/28,I did biking on 2014/09/28.,I did biking on 2014/09/28.\n16014,2014/09/28,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n16015,2014/09/28,I ate chinese food for lunch.,I ate chinese food for lunch.\n16016,2014/09/28,I had dinner. I ate steak.,I had dinner. I ate steak.\n16017,2014/09/28,\"I talked to Eva, Rylee, Kinsley, Nevaeh for 53 minutes during lunch hours.\",\"I talked to Eva, Rylee, Kinsley, Nevaeh for 53 minutes during lunch hours.\"\n16018,2014/09/28,\"I spent 38 talking to Claire, Eva, Piper, Nevaeh on various topics late in the evening.\",\"I spent 38 talking to Claire, Eva, Piper, Nevaeh on various topics late in the evening.\"\n16019,2014/09/28,\"I spent 35 talking to Rylee, Piper, Nevaeh, Eva on various topics during lunch hours.\",\"I spent 35 talking to Rylee, Piper, Nevaeh, Eva on various topics during lunch hours.\"\n16020,2014/09/28,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n16021,2014/09/28,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n16022,2014/09/29,I did weight lifting on 2014/09/29.,I did weight lifting on 2014/09/29.\n16023,2014/09/29,\"I had eggs, sausages, and bread for breakfast with Jackson, Avery, Benjamin, Willow\",\"I had eggs, sausages, and bread for breakfast with Jackson, Avery, Benjamin, Willow\"\n16024,2014/09/29,I prepare tacos for lunch.,I prepare tacos for lunch.\n16025,2014/09/29,\"I had fish and chips for dinner with Kayden, Carter\",\"I had fish and chips for dinner with Kayden, Carter\"\n16026,2014/09/29,\"I talked to Hazel, Piper, Lydia for 38 minutes in the early evening.\",\"I talked to Hazel, Piper, Lydia for 38 minutes in the early evening.\"\n16027,2014/09/29,\"I talked to Rylee, Lydia, Piper for 20 minutes late in the evening.\",\"I talked to Rylee, Lydia, Piper for 20 minutes late in the evening.\"\n16028,2014/09/29,\"I spent 15 talking to Layla, Lydia, Hazel on various topics in the early afternoon.\",\"I spent 15 talking to Layla, Lydia, Hazel on various topics in the early afternoon.\"\n16029,2014/09/29,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n16030,2014/09/29,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n16031,2014/09/30,I did swimming on 2014/09/30.,I did swimming on 2014/09/30.\n16032,2014/09/30,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n16033,2014/09/30,I had lunch with Willow. I ate tacos.,I had lunch with Willow. I ate tacos.\n16034,2014/09/30,\"I had dinner with Emily, Kayden, Carter. I ate a burger.\",\"I had dinner with Emily, Kayden, Carter. I ate a burger.\"\n16035,2014/09/30,\"I talked to Nevaeh, Hazel, Piper, Rylee for 24 minutes in the late afternoon.\",\"I talked to Nevaeh, Hazel, Piper, Rylee for 24 minutes in the late afternoon.\"\n16036,2014/09/30,\"I spent 18 talking to Layla, Lydia on various topics in the early afternoon.\",\"I spent 18 talking to Layla, Lydia on various topics in the early afternoon.\"\n16037,2014/09/30,I spent 8 talking to Claire on various topics late in the evening.,I spent 8 talking to Claire on various topics late in the evening.\n16038,2014/09/30,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n16039,2014/09/30,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n16040,2014/10/01,\"I bought some bananas, coffee, sports drinks, apple juice, guava juice, mouth wash from the grocery store. I saw Kayden, Carter at the grocery store.\",\"I bought some bananas, coffee, sports drinks, apple juice, guava juice, mouth wash from the grocery store. I saw Kayden, Carter at the grocery store.\"\n16041,2014/10/01,I did HIIT on 2014/10/01.,I did HIIT on 2014/10/01.\n16042,2014/10/01,\"I had cereals for breakfast with Benjamin, Willow\",\"I had cereals for breakfast with Benjamin, Willow\"\n16043,2014/10/01,I ate sushi for lunch.,I ate sushi for lunch.\n16044,2014/10/01,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n16045,2014/10/01,\"I spent 12 talking to Nora, Rylee, Layla, Nevaeh on various topics in the morning.\",\"I spent 12 talking to Nora, Rylee, Layla, Nevaeh on various topics in the morning.\"\n16046,2014/10/01,I spent 34 talking to Kinsley on various topics in the early afternoon.,I spent 34 talking to Kinsley on various topics in the early afternoon.\n16047,2014/10/01,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n16048,2014/10/01,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n16049,2014/10/02,\"I was cooking ramen noodle stir-fry, tender salsa beef, wonton soup on 2014/10/02 with Andrew, Kayden, Emily, Carter at my place\",\"I was cooking ramen noodle stir-fry, tender salsa beef, wonton soup on 2014/10/02 with Andrew, Kayden, Emily, Carter at my place\"\n16050,2014/10/02,\"I spent time learning a language on 2014/10/02 with Kayden, Andrew, Emily.\",\"I spent time learning a language on 2014/10/02 with Kayden, Andrew, Emily.\"\n16051,2014/10/02,I did weight lifting on 2014/10/02.,I did weight lifting on 2014/10/02.\n16052,2014/10/02,I had toast and cheese for breakfast with Olivia,I had toast and cheese for breakfast with Olivia\n16053,2014/10/02,\"I had lunch with Piper, Lydia, Nevaeh, Olivia, Kinsley, Nora, Claire, Avery, Layla, Piper, Eva, Rylee. I ate steak.\",\"I had lunch with Piper, Lydia, Nevaeh, Olivia, Kinsley, Nora, Claire, Avery, Layla, Piper, Eva, Rylee. I ate steak.\"\n16054,2014/10/02,I prepare steak for dinner.,I prepare steak for dinner.\n16055,2014/10/02,\"I talked to Lydia, Piper, Rylee for 34 minutes late in the evening.\",\"I talked to Lydia, Piper, Rylee for 34 minutes late in the evening.\"\n16056,2014/10/02,\"I talked to Layla, Lydia for 16 minutes late in the evening.\",\"I talked to Layla, Lydia for 16 minutes late in the evening.\"\n16057,2014/10/02,\"I spent 34 talking to Hazel, Eva, Claire on various topics during lunch hours.\",\"I spent 34 talking to Hazel, Eva, Claire on various topics during lunch hours.\"\n16058,2014/10/02,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n16059,2014/10/02,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n16060,2014/10/03,I did biking on 2014/10/03.,I did biking on 2014/10/03.\n16061,2014/10/03,\"I had pancakes for breakfast with Avery, Hazel, Piper\",\"I had pancakes for breakfast with Avery, Hazel, Piper\"\n16062,2014/10/03,I ate a burger for lunch.,I ate a burger for lunch.\n16063,2014/10/03,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n16064,2014/10/03,\"I spent 37 talking to Layla, Olivia, Nevaeh on various topics late in the evening.\",\"I spent 37 talking to Layla, Olivia, Nevaeh on various topics late in the evening.\"\n16065,2014/10/03,\"I spent 7 talking to Piper, Kinsley, Avery on various topics in the morning.\",\"I spent 7 talking to Piper, Kinsley, Avery on various topics in the morning.\"\n16066,2014/10/03,\"I spent 44 talking to Claire, Rylee, Olivia on various topics in the late afternoon.\",\"I spent 44 talking to Claire, Rylee, Olivia on various topics in the late afternoon.\"\n16067,2014/10/03,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n16068,2014/10/03,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n16069,2014/10/04,\"I went grocery shopping with Kayden, Carter, Andrew. I bought some cherres, raspberries, clementines, peaches, mango juice, sports drinks, orange juice, milk, and mouthwash, shampoo, facial wash\",\"I went grocery shopping with Kayden, Carter, Andrew. I bought some cherres, raspberries, clementines, peaches, mango juice, sports drinks, orange juice, milk, and mouthwash, shampoo, facial wash\"\n16070,2014/10/04,I did swimming on 2014/10/04.,I did swimming on 2014/10/04.\n16071,2014/10/04,\"I had oatmeal for breakfast with Kayden, Andrew, Carter\",\"I had oatmeal for breakfast with Kayden, Andrew, Carter\"\n16072,2014/10/04,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n16073,2014/10/04,I prepare sushi for dinner.,I prepare sushi for dinner.\n16074,2014/10/04,\"I spent 20 talking to Avery, Olivia, Kinsley on various topics in the early evening.\",\"I spent 20 talking to Avery, Olivia, Kinsley on various topics in the early evening.\"\n16075,2014/10/04,I talked to Piper for 49 minutes in the morning.,I talked to Piper for 49 minutes in the morning.\n16076,2014/10/04,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n16077,2014/10/04,I watched a tv series for 30 minutes on TV today.,I watched a tv series for 30 minutes on TV today.\n16078,2014/10/05,I really enjoyed learning a language on 2014/10/05,I really enjoyed learning a language on 2014/10/05\n16079,2014/10/05,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n16080,2014/10/05,\"I had lunch with Kayden, Carter, Andrew, Emily. I ate fish and chips.\",\"I had lunch with Kayden, Carter, Andrew, Emily. I ate fish and chips.\"\n16081,2014/10/05,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n16082,2014/10/05,\"I talked to Avery, Piper, Hazel for 31 minutes during lunch hours.\",\"I talked to Avery, Piper, Hazel for 31 minutes during lunch hours.\"\n16083,2014/10/05,I spent 13 talking to Layla on various topics in the early evening.,I spent 13 talking to Layla on various topics in the early evening.\n16084,2014/10/05,\"I talked to Hazel, Piper for 55 minutes in the early evening.\",\"I talked to Hazel, Piper for 55 minutes in the early evening.\"\n16085,2014/10/05,\"I talked to Layla, Olivia for 38 minutes late in the evening.\",\"I talked to Layla, Olivia for 38 minutes late in the evening.\"\n16086,2014/10/05,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n16087,2014/10/05,I spent 48 minutes watching a documentary on TV today.,I spent 48 minutes watching a documentary on TV today.\n16088,2014/10/06,\"On 2014/10/06, I took Wang-Chiew on a date to a restaurant\",\"On 2014/10/06, I took Wang-Chiew on a date to a restaurant\"\n16089,2014/10/06,I did running on 2014/10/06.,I did running on 2014/10/06.\n16090,2014/10/06,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n16091,2014/10/06,I prepare steak for lunch.,I prepare steak for lunch.\n16092,2014/10/06,I ate steak for dinner.,I ate steak for dinner.\n16093,2014/10/06,\"I talked to Olivia, Kinsley, Nora, Lydia for 44 minutes late in the evening.\",\"I talked to Olivia, Kinsley, Nora, Lydia for 44 minutes late in the evening.\"\n16094,2014/10/06,\"I talked to Hazel, Layla, Avery for 52 minutes late in the evening.\",\"I talked to Hazel, Layla, Avery for 52 minutes late in the evening.\"\n16095,2014/10/06,I talked to Olivia for 44 minutes in the late afternoon.,I talked to Olivia for 44 minutes in the late afternoon.\n16096,2014/10/06,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n16097,2014/10/06,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n16098,2014/10/07,I did HIIT on 2014/10/07.,I did HIIT on 2014/10/07.\n16099,2014/10/07,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n16100,2014/10/07,I ate sandwich for lunch.,I ate sandwich for lunch.\n16101,2014/10/07,\"I had dinner with Kinsley, Piper, Avery, Lydia, Eva, Olivia, Hazel, Claire, Rylee. I ate a burger.\",\"I had dinner with Kinsley, Piper, Avery, Lydia, Eva, Olivia, Hazel, Claire, Rylee. I ate a burger.\"\n16102,2014/10/07,I talked to Rylee for 52 minutes in the early afternoon.,I talked to Rylee for 52 minutes in the early afternoon.\n16103,2014/10/07,\"I talked to Lydia, Nevaeh for 47 minutes in the late afternoon.\",\"I talked to Lydia, Nevaeh for 47 minutes in the late afternoon.\"\n16104,2014/10/07,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n16105,2014/10/07,I watched a tv series for 14 minutes on TV today.,I watched a tv series for 14 minutes on TV today.\n16106,2014/10/08,I did hiking on 2014/10/08.,I did hiking on 2014/10/08.\n16107,2014/10/08,\"I had breakfast with Andrew, Carter. I ate toast and cheese.\",\"I had breakfast with Andrew, Carter. I ate toast and cheese.\"\n16108,2014/10/08,\"I had lunch with Layla, Claire, Piper, Lydia. I ate steak.\",\"I had lunch with Layla, Claire, Piper, Lydia. I ate steak.\"\n16109,2014/10/08,\"I had dinner with Willow, Jackson. I ate chinese food.\",\"I had dinner with Willow, Jackson. I ate chinese food.\"\n16110,2014/10/08,\"I talked to Piper, Olivia, Eva, Kinsley for 29 minutes in the morning.\",\"I talked to Piper, Olivia, Eva, Kinsley for 29 minutes in the morning.\"\n16111,2014/10/08,\"I spent 32 talking to Eva, Rylee, Olivia, Avery on various topics during lunch hours.\",\"I spent 32 talking to Eva, Rylee, Olivia, Avery on various topics during lunch hours.\"\n16112,2014/10/08,\"I spent 49 talking to Lydia, Nevaeh on various topics in the early evening.\",\"I spent 49 talking to Lydia, Nevaeh on various topics in the early evening.\"\n16113,2014/10/08,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n16114,2014/10/08,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n16115,2014/10/09,\"I went grocery shopping with Emily, Carter, Andrew, Kayden. I bought some raspberries, bananas, oranges, milk, tea, mineral water, and mouth wash\",\"I went grocery shopping with Emily, Carter, Andrew, Kayden. I bought some raspberries, bananas, oranges, milk, tea, mineral water, and mouth wash\"\n16116,2014/10/09,I did biking on 2014/10/09.,I did biking on 2014/10/09.\n16117,2014/10/09,I had breakfast with Kayden. I ate peanut-butter-jam.,I had breakfast with Kayden. I ate peanut-butter-jam.\n16118,2014/10/09,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n16119,2014/10/09,\"I had dinner with Kayden, Carter. I ate fish and chips.\",\"I had dinner with Kayden, Carter. I ate fish and chips.\"\n16120,2014/10/09,\"I talked to Hazel, Rylee, Olivia, Piper for 16 minutes late in the evening.\",\"I talked to Hazel, Rylee, Olivia, Piper for 16 minutes late in the evening.\"\n16121,2014/10/09,\"I spent 22 talking to Lydia, Nora on various topics in the early afternoon.\",\"I spent 22 talking to Lydia, Nora on various topics in the early afternoon.\"\n16122,2014/10/09,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n16123,2014/10/09,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n16124,2014/10/10,I went on a date with Nicholas on 2014/10/10 at a park,I went on a date with Nicholas on 2014/10/10 at a park\n16125,2014/10/10,I did running on 2014/10/10.,I did running on 2014/10/10.\n16126,2014/10/10,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n16127,2014/10/10,\"I had sandwich for lunch with Hazel, Eva, Nora, Piper, Piper, Kinsley, Layla, Avery, Olivia, Rylee, Lydia, Claire\",\"I had sandwich for lunch with Hazel, Eva, Nora, Piper, Piper, Kinsley, Layla, Avery, Olivia, Rylee, Lydia, Claire\"\n16128,2014/10/10,\"I had sushi for dinner with Carter, Kayden, Andrew\",\"I had sushi for dinner with Carter, Kayden, Andrew\"\n16129,2014/10/10,\"I spent 17 talking to Eva, Piper on various topics late in the evening.\",\"I spent 17 talking to Eva, Piper on various topics late in the evening.\"\n16130,2014/10/10,\"I talked to Piper, Olivia for 38 minutes late in the evening.\",\"I talked to Piper, Olivia for 38 minutes late in the evening.\"\n16131,2014/10/10,\"I talked to Layla, Claire for 36 minutes in the early afternoon.\",\"I talked to Layla, Claire for 36 minutes in the early afternoon.\"\n16132,2014/10/10,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n16133,2014/10/10,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n16134,2014/10/11,I ate cereals for breakfast.,I ate cereals for breakfast.\n16135,2014/10/11,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n16136,2014/10/11,I ate pasta for dinner.,I ate pasta for dinner.\n16137,2014/10/11,\"I spent 52 talking to Olivia, Nora, Piper on various topics in the early evening.\",\"I spent 52 talking to Olivia, Nora, Piper on various topics in the early evening.\"\n16138,2014/10/11,I talked to Eva for 7 minutes in the late afternoon.,I talked to Eva for 7 minutes in the late afternoon.\n16139,2014/10/11,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n16140,2014/10/11,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n16141,2014/10/12,I did weight lifting on 2014/10/12.,I did weight lifting on 2014/10/12.\n16142,2014/10/12,\"I had breakfast with Avery, Olivia, Layla, Rylee, Claire. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Olivia, Layla, Rylee, Claire. I ate eggs, sausages, and bread.\"\n16143,2014/10/12,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n16144,2014/10/12,\"I had dinner with Piper, Rylee. I ate sushi.\",\"I had dinner with Piper, Rylee. I ate sushi.\"\n16145,2014/10/12,\"I talked to Hazel, Piper, Nevaeh for 45 minutes during lunch hours.\",\"I talked to Hazel, Piper, Nevaeh for 45 minutes during lunch hours.\"\n16146,2014/10/12,\"I talked to Nevaeh, Layla, Kinsley for 21 minutes in the morning.\",\"I talked to Nevaeh, Layla, Kinsley for 21 minutes in the morning.\"\n16147,2014/10/12,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n16148,2014/10/12,I spent 49 minutes watching a documentary on TV today.,I spent 49 minutes watching a documentary on TV today.\n16149,2014/10/13,\"I was baking easy cherry skillet cake, chocolate skillet cake on 2014/10/13 with Andrew, Kayden at my place\",\"I was baking easy cherry skillet cake, chocolate skillet cake on 2014/10/13 with Andrew, Kayden at my place\"\n16150,2014/10/13,I did running on 2014/10/13.,I did running on 2014/10/13.\n16151,2014/10/13,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n16152,2014/10/13,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n16153,2014/10/13,I ate a burger for dinner.,I ate a burger for dinner.\n16154,2014/10/13,\"I spent 52 talking to Hazel, Avery, Layla, Lydia on various topics late in the evening.\",\"I spent 52 talking to Hazel, Avery, Layla, Lydia on various topics late in the evening.\"\n16155,2014/10/13,I talked to Piper for 47 minutes in the morning.,I talked to Piper for 47 minutes in the morning.\n16156,2014/10/13,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n16157,2014/10/13,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n16158,2014/10/14,I really enjoyed yoga on 2014/10/14,I really enjoyed yoga on 2014/10/14\n16159,2014/10/14,\"I bought some peaches, strawberries, guava, mineral water, coffee, tea, chocolate milk, shaving cream, facial wash from the grocery store. I saw Emily, Andrew, Carter, Kayden at the grocery store.\",\"I bought some peaches, strawberries, guava, mineral water, coffee, tea, chocolate milk, shaving cream, facial wash from the grocery store. I saw Emily, Andrew, Carter, Kayden at the grocery store.\"\n16160,2014/10/14,I did weight lifting on 2014/10/14.,I did weight lifting on 2014/10/14.\n16161,2014/10/14,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n16162,2014/10/14,\"I had a burger for lunch with Kinsley, Eva, Nevaeh, Hazel, Piper, Avery, Olivia\",\"I had a burger for lunch with Kinsley, Eva, Nevaeh, Hazel, Piper, Avery, Olivia\"\n16163,2014/10/14,\"I had dinner with Emily, Carter. I ate sushi.\",\"I had dinner with Emily, Carter. I ate sushi.\"\n16164,2014/10/14,I talked to Piper for 35 minutes in the early afternoon.,I talked to Piper for 35 minutes in the early afternoon.\n16165,2014/10/14,\"I talked to Piper, Kinsley for 48 minutes in the morning.\",\"I talked to Piper, Kinsley for 48 minutes in the morning.\"\n16166,2014/10/14,I spent 33 talking to Nevaeh on various topics in the early afternoon.,I spent 33 talking to Nevaeh on various topics in the early afternoon.\n16167,2014/10/14,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n16168,2014/10/14,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n16169,2014/10/15,I went on a date with Ellie on 2014/10/15 at a coffee Shop,I went on a date with Ellie on 2014/10/15 at a coffee Shop\n16170,2014/10/15,I did weight lifting on 2014/10/15.,I did weight lifting on 2014/10/15.\n16171,2014/10/15,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n16172,2014/10/15,I ate indian food for lunch.,I ate indian food for lunch.\n16173,2014/10/15,\"I had dinner with Benjamin, Jackson, Avery. I ate sandwich.\",\"I had dinner with Benjamin, Jackson, Avery. I ate sandwich.\"\n16174,2014/10/15,\"I talked to Piper, Avery for 15 minutes in the early afternoon.\",\"I talked to Piper, Avery for 15 minutes in the early afternoon.\"\n16175,2014/10/15,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n16176,2014/10/15,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n16177,2014/10/16,I did running on 2014/10/16.,I did running on 2014/10/16.\n16178,2014/10/16,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n16179,2014/10/16,I prepare pasta for lunch.,I prepare pasta for lunch.\n16180,2014/10/16,I ate indian food for dinner.,I ate indian food for dinner.\n16181,2014/10/16,\"I talked to Eva, Olivia, Lydia for 52 minutes during lunch hours.\",\"I talked to Eva, Olivia, Lydia for 52 minutes during lunch hours.\"\n16182,2014/10/16,I talked to Avery for 36 minutes during lunch hours.,I talked to Avery for 36 minutes during lunch hours.\n16183,2014/10/16,\"I spent 7 talking to Eva, Claire, Nora, Avery on various topics in the morning.\",\"I spent 7 talking to Eva, Claire, Nora, Avery on various topics in the morning.\"\n16184,2014/10/16,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n16185,2014/10/16,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n16186,2014/10/17,\"I spent time gardening on 2014/10/17 with Piper, Avery, Rylee.\",\"I spent time gardening on 2014/10/17 with Piper, Avery, Rylee.\"\n16187,2014/10/17,\"I bought some oranges, pears, blueberries, watermelons, chocolate milk, shaving cream, toothpaste, facial wash, paper towel online.\",\"I bought some oranges, pears, blueberries, watermelons, chocolate milk, shaving cream, toothpaste, facial wash, paper towel online.\"\n16188,2014/10/17,I did running on 2014/10/17.,I did running on 2014/10/17.\n16189,2014/10/17,\"I had breakfast with Kayden, Andrew, Carter, Emily. I ate toast and cheese.\",\"I had breakfast with Kayden, Andrew, Carter, Emily. I ate toast and cheese.\"\n16190,2014/10/17,I had indian food for lunch with Kinsley,I had indian food for lunch with Kinsley\n16191,2014/10/17,I prepare indian food for dinner.,I prepare indian food for dinner.\n16192,2014/10/17,\"I spent 15 talking to Avery, Rylee, Lydia on various topics late in the evening.\",\"I spent 15 talking to Avery, Rylee, Lydia on various topics late in the evening.\"\n16193,2014/10/17,\"I spent 32 talking to Piper, Hazel, Nevaeh, Lydia on various topics in the early evening.\",\"I spent 32 talking to Piper, Hazel, Nevaeh, Lydia on various topics in the early evening.\"\n16194,2014/10/17,\"I spent 21 talking to Lydia, Avery on various topics in the morning.\",\"I spent 21 talking to Lydia, Avery on various topics in the morning.\"\n16195,2014/10/17,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n16196,2014/10/17,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n16197,2014/10/18,I did hiking on 2014/10/18.,I did hiking on 2014/10/18.\n16198,2014/10/18,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n16199,2014/10/18,I ate sushi for lunch.,I ate sushi for lunch.\n16200,2014/10/18,\"I had dinner with Nevaeh, Rylee, Kinsley, Nora, Layla, Lydia. I ate steak.\",\"I had dinner with Nevaeh, Rylee, Kinsley, Nora, Layla, Lydia. I ate steak.\"\n16201,2014/10/18,\"I spent 25 talking to Layla, Kinsley, Claire on various topics during lunch hours.\",\"I spent 25 talking to Layla, Kinsley, Claire on various topics during lunch hours.\"\n16202,2014/10/18,\"I talked to Hazel, Piper, Claire, Nevaeh for 23 minutes during lunch hours.\",\"I talked to Hazel, Piper, Claire, Nevaeh for 23 minutes during lunch hours.\"\n16203,2014/10/18,I talked to Layla for 15 minutes in the late afternoon.,I talked to Layla for 15 minutes in the late afternoon.\n16204,2014/10/18,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n16205,2014/10/18,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n16206,2014/10/19,I did swimming on 2014/10/19.,I did swimming on 2014/10/19.\n16207,2014/10/19,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n16208,2014/10/19,\"I had sushi for lunch with Andrew, Kayden, Emily\",\"I had sushi for lunch with Andrew, Kayden, Emily\"\n16209,2014/10/19,I ate sushi for dinner.,I ate sushi for dinner.\n16210,2014/10/19,\"I talked to Avery, Kinsley, Piper, Lydia for 46 minutes in the late afternoon.\",\"I talked to Avery, Kinsley, Piper, Lydia for 46 minutes in the late afternoon.\"\n16211,2014/10/19,\"I talked to Eva, Nora, Layla, Hazel for 41 minutes during lunch hours.\",\"I talked to Eva, Nora, Layla, Hazel for 41 minutes during lunch hours.\"\n16212,2014/10/19,\"I talked to Claire, Olivia, Avery, Piper for 51 minutes in the late afternoon.\",\"I talked to Claire, Olivia, Avery, Piper for 51 minutes in the late afternoon.\"\n16213,2014/10/19,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n16214,2014/10/19,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n16215,2014/10/20,\"I went grocery shopping with Andrew, Carter, Kayden, Emily. I bought some peaches, mineral water, and toothpaste\",\"I went grocery shopping with Andrew, Carter, Kayden, Emily. I bought some peaches, mineral water, and toothpaste\"\n16216,2014/10/20,I did hiking on 2014/10/20.,I did hiking on 2014/10/20.\n16217,2014/10/20,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n16218,2014/10/20,I had lunch. I ate steak.,I had lunch. I ate steak.\n16219,2014/10/20,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n16220,2014/10/20,\"I talked to Piper, Rylee for 45 minutes late in the evening.\",\"I talked to Piper, Rylee for 45 minutes late in the evening.\"\n16221,2014/10/20,I talked to Nora for 33 minutes during lunch hours.,I talked to Nora for 33 minutes during lunch hours.\n16222,2014/10/20,I spent 37 talking to Hazel on various topics during lunch hours.,I spent 37 talking to Hazel on various topics during lunch hours.\n16223,2014/10/20,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n16224,2014/10/20,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n16225,2014/10/21,I did biking on 2014/10/21.,I did biking on 2014/10/21.\n16226,2014/10/21,\"I had eggs, sausages, and bread for breakfast with Piper, Olivia, Claire, Nevaeh, Hazel\",\"I had eggs, sausages, and bread for breakfast with Piper, Olivia, Claire, Nevaeh, Hazel\"\n16227,2014/10/21,I had lunch. I ate steak.,I had lunch. I ate steak.\n16228,2014/10/21,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n16229,2014/10/21,I spent 5 talking to Olivia on various topics during lunch hours.,I spent 5 talking to Olivia on various topics during lunch hours.\n16230,2014/10/21,\"I talked to Hazel, Claire, Piper for 9 minutes in the late afternoon.\",\"I talked to Hazel, Claire, Piper for 9 minutes in the late afternoon.\"\n16231,2014/10/21,\"I talked to Piper, Piper, Layla for 30 minutes late in the evening.\",\"I talked to Piper, Piper, Layla for 30 minutes late in the evening.\"\n16232,2014/10/21,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n16233,2014/10/21,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n16234,2014/10/22,I spent some time meditation on 2014/10/22.,I spent some time meditation on 2014/10/22.\n16235,2014/10/22,I did weight lifting on 2014/10/22.,I did weight lifting on 2014/10/22.\n16236,2014/10/22,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n16237,2014/10/22,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n16238,2014/10/22,I ate a burger for dinner.,I ate a burger for dinner.\n16239,2014/10/22,\"I talked to Lydia, Piper, Layla for 28 minutes during lunch hours.\",\"I talked to Lydia, Piper, Layla for 28 minutes during lunch hours.\"\n16240,2014/10/22,I spent 43 talking to Claire on various topics late in the evening.,I spent 43 talking to Claire on various topics late in the evening.\n16241,2014/10/22,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n16242,2014/10/22,I spent 29 minutes watching a movie on TV today.,I spent 29 minutes watching a movie on TV today.\n16243,2014/10/23,I did swimming on 2014/10/23.,I did swimming on 2014/10/23.\n16244,2014/10/23,\"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Emily, Kayden\",\"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Emily, Kayden\"\n16245,2014/10/23,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n16246,2014/10/23,\"I had fish and chips for dinner with Emily, Andrew, Carter\",\"I had fish and chips for dinner with Emily, Andrew, Carter\"\n16247,2014/10/23,\"I spent 48 talking to Olivia, Hazel on various topics in the morning.\",\"I spent 48 talking to Olivia, Hazel on various topics in the morning.\"\n16248,2014/10/23,\"I spent 52 talking to Kinsley, Layla, Nora on various topics in the late afternoon.\",\"I spent 52 talking to Kinsley, Layla, Nora on various topics in the late afternoon.\"\n16249,2014/10/23,\"I spent 36 talking to Lydia, Rylee on various topics during lunch hours.\",\"I spent 36 talking to Lydia, Rylee on various topics during lunch hours.\"\n16250,2014/10/23,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n16251,2014/10/23,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n16252,2014/10/24,\"On 2014/10/24, I took Madison on a date to a park\",\"On 2014/10/24, I took Madison on a date to a park\"\n16253,2014/10/24,\"I went grocery shopping with Kayden, Emily. I bought some blackberries, watermelons, mandarins, coffee, chocolate milk, and toothpaste\",\"I went grocery shopping with Kayden, Emily. I bought some blackberries, watermelons, mandarins, coffee, chocolate milk, and toothpaste\"\n16254,2014/10/24,I did weight lifting on 2014/10/24.,I did weight lifting on 2014/10/24.\n16255,2014/10/24,I ate cereals for breakfast.,I ate cereals for breakfast.\n16256,2014/10/24,\"I had indian food for lunch with Emily, Kayden, Andrew\",\"I had indian food for lunch with Emily, Kayden, Andrew\"\n16257,2014/10/24,I ate indian food for dinner.,I ate indian food for dinner.\n16258,2014/10/24,I talked to Claire for 41 minutes during lunch hours.,I talked to Claire for 41 minutes during lunch hours.\n16259,2014/10/24,\"I talked to Nevaeh, Lydia, Piper, Claire for 52 minutes during lunch hours.\",\"I talked to Nevaeh, Lydia, Piper, Claire for 52 minutes during lunch hours.\"\n16260,2014/10/24,\"I spent 48 talking to Kinsley, Piper, Rylee, Piper on various topics late in the evening.\",\"I spent 48 talking to Kinsley, Piper, Rylee, Piper on various topics late in the evening.\"\n16261,2014/10/24,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n16262,2014/10/24,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n16263,2014/10/25,I spent time gardening on 2014/10/25 with Jackson.,I spent time gardening on 2014/10/25 with Jackson.\n16264,2014/10/25,I did hiking on 2014/10/25.,I did hiking on 2014/10/25.\n16265,2014/10/25,\"I had peanut-butter-jam for breakfast with Olivia, Piper, Kinsley, Nora, Eva, Avery, Claire, Rylee, Piper, Layla, Lydia, Nevaeh\",\"I had peanut-butter-jam for breakfast with Olivia, Piper, Kinsley, Nora, Eva, Avery, Claire, Rylee, Piper, Layla, Lydia, Nevaeh\"\n16266,2014/10/25,I ate sandwich for lunch.,I ate sandwich for lunch.\n16267,2014/10/25,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n16268,2014/10/25,I talked to Nora for 12 minutes in the morning.,I talked to Nora for 12 minutes in the morning.\n16269,2014/10/25,I spent 46 talking to Rylee on various topics in the early afternoon.,I spent 46 talking to Rylee on various topics in the early afternoon.\n16270,2014/10/25,I talked to Layla for 53 minutes in the early evening.,I talked to Layla for 53 minutes in the early evening.\n16271,2014/10/25,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n16272,2014/10/25,I spent 29 minutes watching a tv series on TV today.,I spent 29 minutes watching a tv series on TV today.\n16273,2014/10/26,I did HIIT on 2014/10/26.,I did HIIT on 2014/10/26.\n16274,2014/10/26,I had breakfast with Kayden. I ate pancakes.,I had breakfast with Kayden. I ate pancakes.\n16275,2014/10/26,I had lunch. I ate steak.,I had lunch. I ate steak.\n16276,2014/10/26,\"I had indian food for dinner with Carter, Andrew\",\"I had indian food for dinner with Carter, Andrew\"\n16277,2014/10/26,I talked to Eva for 27 minutes in the morning.,I talked to Eva for 27 minutes in the morning.\n16278,2014/10/26,\"I spent 22 talking to Piper, Claire, Piper, Hazel on various topics in the early afternoon.\",\"I spent 22 talking to Piper, Claire, Piper, Hazel on various topics in the early afternoon.\"\n16279,2014/10/26,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n16280,2014/10/26,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n16281,2014/10/27,I did weight lifting on 2014/10/27.,I did weight lifting on 2014/10/27.\n16282,2014/10/27,\"I had breakfast with Jackson, Benjamin. I ate peanut-butter-jam.\",\"I had breakfast with Jackson, Benjamin. I ate peanut-butter-jam.\"\n16283,2014/10/27,I ate chinese food for lunch.,I ate chinese food for lunch.\n16284,2014/10/27,\"I had dinner with Nora, Kinsley, Lydia, Eva, Layla, Piper, Hazel. I ate a burger.\",\"I had dinner with Nora, Kinsley, Lydia, Eva, Layla, Piper, Hazel. I ate a burger.\"\n16285,2014/10/27,\"I talked to Layla, Piper for 54 minutes during lunch hours.\",\"I talked to Layla, Piper for 54 minutes during lunch hours.\"\n16286,2014/10/27,I spent 11 talking to Nevaeh on various topics in the late afternoon.,I spent 11 talking to Nevaeh on various topics in the late afternoon.\n16287,2014/10/27,\"I talked to Layla, Eva for 45 minutes in the early evening.\",\"I talked to Layla, Eva for 45 minutes in the early evening.\"\n16288,2014/10/27,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n16289,2014/10/27,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n16290,2014/10/28,\"I bought some watermelons, pineapples, apples, oranges, apple juice, tea, orange juice, guava juice, toothbrush, conditioner, shaving cream online.\",\"I bought some watermelons, pineapples, apples, oranges, apple juice, tea, orange juice, guava juice, toothbrush, conditioner, shaving cream online.\"\n16291,2014/10/28,I did HIIT on 2014/10/28.,I did HIIT on 2014/10/28.\n16292,2014/10/28,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n16293,2014/10/28,I ate chinese food for lunch.,I ate chinese food for lunch.\n16294,2014/10/28,\"I had fish and chips for dinner with Emily, Andrew\",\"I had fish and chips for dinner with Emily, Andrew\"\n16295,2014/10/28,\"I talked to Kinsley, Nevaeh for 54 minutes in the early afternoon.\",\"I talked to Kinsley, Nevaeh for 54 minutes in the early afternoon.\"\n16296,2014/10/28,\"I talked to Hazel, Rylee, Piper for 10 minutes in the morning.\",\"I talked to Hazel, Rylee, Piper for 10 minutes in the morning.\"\n16297,2014/10/28,\"I talked to Nora, Avery, Piper, Kinsley for 8 minutes in the early afternoon.\",\"I talked to Nora, Avery, Piper, Kinsley for 8 minutes in the early afternoon.\"\n16298,2014/10/28,I spent 32 talking to Piper on various topics during lunch hours.,I spent 32 talking to Piper on various topics during lunch hours.\n16299,2014/10/28,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n16300,2014/10/28,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n16301,2014/10/29,I did running on 2014/10/29.,I did running on 2014/10/29.\n16302,2014/10/29,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n16303,2014/10/29,\"I had fish and chips for lunch with Carter, Kayden\",\"I had fish and chips for lunch with Carter, Kayden\"\n16304,2014/10/29,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n16305,2014/10/29,I spent 9 talking to Layla on various topics late in the evening.,I spent 9 talking to Layla on various topics late in the evening.\n16306,2014/10/29,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n16307,2014/10/29,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n16308,2014/10/30,\"I bought some strawberries, nectarines, apricots, mineral water, guava juice, mouth wash, facial wash from the grocery store. I saw Benjamin, Avery at the grocery store.\",\"I bought some strawberries, nectarines, apricots, mineral water, guava juice, mouth wash, facial wash from the grocery store. I saw Benjamin, Avery at the grocery store.\"\n16309,2014/10/30,I did swimming on 2014/10/30.,I did swimming on 2014/10/30.\n16310,2014/10/30,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n16311,2014/10/30,\"I had lunch with Avery, Lydia, Eva, Piper, Olivia, Hazel, Rylee. I ate tacos.\",\"I had lunch with Avery, Lydia, Eva, Piper, Olivia, Hazel, Rylee. I ate tacos.\"\n16312,2014/10/30,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n16313,2014/10/30,\"I spent 9 talking to Kinsley, Layla on various topics late in the evening.\",\"I spent 9 talking to Kinsley, Layla on various topics late in the evening.\"\n16314,2014/10/30,I talked to Nevaeh for 19 minutes in the morning.,I talked to Nevaeh for 19 minutes in the morning.\n16315,2014/10/30,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n16316,2014/10/30,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n16317,2014/10/31,I spent some time gardening on 2014/10/31.,I spent some time gardening on 2014/10/31.\n16318,2014/10/31,I did swimming on 2014/10/31.,I did swimming on 2014/10/31.\n16319,2014/10/31,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n16320,2014/10/31,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n16321,2014/10/31,\"I had dinner with Jackson, Willow. I ate indian food.\",\"I had dinner with Jackson, Willow. I ate indian food.\"\n16322,2014/10/31,\"I talked to Olivia, Avery, Rylee, Lydia for 29 minutes late in the evening.\",\"I talked to Olivia, Avery, Rylee, Lydia for 29 minutes late in the evening.\"\n16323,2014/10/31,I spent 31 talking to Lydia on various topics in the late afternoon.,I spent 31 talking to Lydia on various topics in the late afternoon.\n16324,2014/10/31,I spent 27 talking to Olivia on various topics in the early afternoon.,I spent 27 talking to Olivia on various topics in the early afternoon.\n16325,2014/10/31,I talked to Eva for 43 minutes in the morning.,I talked to Eva for 43 minutes in the morning.\n16326,2014/10/31,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n16327,2014/10/31,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n16328,2014/11/01,I did biking on 2014/11/01.,I did biking on 2014/11/01.\n16329,2014/11/01,\"I had pancakes for breakfast with Kayden, Andrew\",\"I had pancakes for breakfast with Kayden, Andrew\"\n16330,2014/11/01,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n16331,2014/11/01,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n16332,2014/11/01,\"I talked to Olivia, Layla, Eva, Piper for 25 minutes in the late afternoon.\",\"I talked to Olivia, Layla, Eva, Piper for 25 minutes in the late afternoon.\"\n16333,2014/11/01,\"I talked to Kinsley, Rylee, Claire for 51 minutes during lunch hours.\",\"I talked to Kinsley, Rylee, Claire for 51 minutes during lunch hours.\"\n16334,2014/11/01,\"I spent 22 talking to Nevaeh, Piper, Lydia on various topics in the early evening.\",\"I spent 22 talking to Nevaeh, Piper, Lydia on various topics in the early evening.\"\n16335,2014/11/01,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n16336,2014/11/01,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n16337,2014/11/02,I did hiking on 2014/11/02.,I did hiking on 2014/11/02.\n16338,2014/11/02,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n16339,2014/11/02,\"I had fish and chips for lunch with Avery, Willow, Jackson\",\"I had fish and chips for lunch with Avery, Willow, Jackson\"\n16340,2014/11/02,\"I had steak for dinner with Rylee, Lydia, Nora, Kinsley, Layla\",\"I had steak for dinner with Rylee, Lydia, Nora, Kinsley, Layla\"\n16341,2014/11/02,\"I talked to Piper, Kinsley, Nevaeh for 11 minutes in the late afternoon.\",\"I talked to Piper, Kinsley, Nevaeh for 11 minutes in the late afternoon.\"\n16342,2014/11/02,\"I talked to Nora, Avery, Nevaeh, Claire for 49 minutes in the early evening.\",\"I talked to Nora, Avery, Nevaeh, Claire for 49 minutes in the early evening.\"\n16343,2014/11/02,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n16344,2014/11/02,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n16345,2014/11/03,\"On 2014/11/03, I took Madelyn on a date to a park\",\"On 2014/11/03, I took Madelyn on a date to a park\"\n16346,2014/11/03,\"I bought some oranges, apples, cherres, mangos, pineapple juice, sports drinks, soda, conditioner from the grocery store. I saw Emily, Kayden, Carter, Andrew at the grocery store.\",\"I bought some oranges, apples, cherres, mangos, pineapple juice, sports drinks, soda, conditioner from the grocery store. I saw Emily, Kayden, Carter, Andrew at the grocery store.\"\n16347,2014/11/03,I did hiking on 2014/11/03.,I did hiking on 2014/11/03.\n16348,2014/11/03,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n16349,2014/11/03,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n16350,2014/11/03,I ate a burger for dinner.,I ate a burger for dinner.\n16351,2014/11/03,\"I spent 12 talking to Avery, Eva on various topics in the early evening.\",\"I spent 12 talking to Avery, Eva on various topics in the early evening.\"\n16352,2014/11/03,\"I talked to Piper, Kinsley, Nora for 54 minutes in the early afternoon.\",\"I talked to Piper, Kinsley, Nora for 54 minutes in the early afternoon.\"\n16353,2014/11/03,\"I spent 48 talking to Piper, Piper, Hazel, Eva on various topics late in the evening.\",\"I spent 48 talking to Piper, Piper, Hazel, Eva on various topics late in the evening.\"\n16354,2014/11/03,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n16355,2014/11/03,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n16356,2014/11/04,I did swimming on 2014/11/04.,I did swimming on 2014/11/04.\n16357,2014/11/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n16358,2014/11/04,I ate sushi for lunch.,I ate sushi for lunch.\n16359,2014/11/04,I prepare pasta for dinner.,I prepare pasta for dinner.\n16360,2014/11/04,\"I talked to Piper, Layla for 46 minutes in the morning.\",\"I talked to Piper, Layla for 46 minutes in the morning.\"\n16361,2014/11/04,\"I talked to Claire, Nevaeh, Piper, Kinsley for 32 minutes in the early afternoon.\",\"I talked to Claire, Nevaeh, Piper, Kinsley for 32 minutes in the early afternoon.\"\n16362,2014/11/04,I spent 8 talking to Kinsley on various topics during lunch hours.,I spent 8 talking to Kinsley on various topics during lunch hours.\n16363,2014/11/04,\"I talked to Rylee, Layla for 51 minutes late in the evening.\",\"I talked to Rylee, Layla for 51 minutes late in the evening.\"\n16364,2014/11/04,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n16365,2014/11/04,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n16366,2014/11/05,I spent some time yoga on 2014/11/05.,I spent some time yoga on 2014/11/05.\n16367,2014/11/05,I did running on 2014/11/05.,I did running on 2014/11/05.\n16368,2014/11/05,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n16369,2014/11/05,I ate sandwich for lunch.,I ate sandwich for lunch.\n16370,2014/11/05,\"I had dinner with Rylee, Kinsley, Layla, Avery, Nevaeh, Nora, Olivia. I ate tacos.\",\"I had dinner with Rylee, Kinsley, Layla, Avery, Nevaeh, Nora, Olivia. I ate tacos.\"\n16371,2014/11/05,\"I spent 41 talking to Olivia, Kinsley, Rylee on various topics during lunch hours.\",\"I spent 41 talking to Olivia, Kinsley, Rylee on various topics during lunch hours.\"\n16372,2014/11/05,\"I spent 17 talking to Layla, Claire, Piper on various topics in the early afternoon.\",\"I spent 17 talking to Layla, Claire, Piper on various topics in the early afternoon.\"\n16373,2014/11/05,\"I spent 51 talking to Piper, Nevaeh, Olivia, Nora on various topics in the late afternoon.\",\"I spent 51 talking to Piper, Nevaeh, Olivia, Nora on various topics in the late afternoon.\"\n16374,2014/11/05,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n16375,2014/11/05,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n16376,2014/11/06,I did running on 2014/11/06.,I did running on 2014/11/06.\n16377,2014/11/06,\"I had oatmeal for breakfast with Avery, Kinsley, Layla, Rylee, Lydia, Piper, Olivia\",\"I had oatmeal for breakfast with Avery, Kinsley, Layla, Rylee, Lydia, Piper, Olivia\"\n16378,2014/11/06,\"I had lunch with Emily, Carter. I ate chinese food.\",\"I had lunch with Emily, Carter. I ate chinese food.\"\n16379,2014/11/06,\"I had sandwich for dinner with Andrew, Emily, Kayden\",\"I had sandwich for dinner with Andrew, Emily, Kayden\"\n16380,2014/11/06,I spent 34 talking to Rylee on various topics late in the evening.,I spent 34 talking to Rylee on various topics late in the evening.\n16381,2014/11/06,\"I spent 54 talking to Rylee, Layla on various topics late in the evening.\",\"I spent 54 talking to Rylee, Layla on various topics late in the evening.\"\n16382,2014/11/06,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n16383,2014/11/06,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n16384,2014/11/07,I did swimming on 2014/11/07.,I did swimming on 2014/11/07.\n16385,2014/11/07,\"I had peanut-butter-jam for breakfast with Claire, Eva, Nevaeh, Layla, Nora, Rylee, Olivia\",\"I had peanut-butter-jam for breakfast with Claire, Eva, Nevaeh, Layla, Nora, Rylee, Olivia\"\n16386,2014/11/07,I prepare pasta for lunch.,I prepare pasta for lunch.\n16387,2014/11/07,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n16388,2014/11/07,\"I spent 14 talking to Hazel, Nevaeh on various topics in the morning.\",\"I spent 14 talking to Hazel, Nevaeh on various topics in the morning.\"\n16389,2014/11/07,\"I talked to Rylee, Nora, Avery for 16 minutes in the morning.\",\"I talked to Rylee, Nora, Avery for 16 minutes in the morning.\"\n16390,2014/11/07,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n16391,2014/11/07,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n16392,2014/11/08,\"I bought some clementines, apple juice, soda, shampoo, mouthwash, toothbrush, facial wash online.\",\"I bought some clementines, apple juice, soda, shampoo, mouthwash, toothbrush, facial wash online.\"\n16393,2014/11/08,I did biking on 2014/11/08.,I did biking on 2014/11/08.\n16394,2014/11/08,\"I had breakfast with Rylee, Layla, Kinsley, Piper, Claire, Hazel, Nevaeh, Nora, Avery, Piper, Eva. I ate oatmeal.\",\"I had breakfast with Rylee, Layla, Kinsley, Piper, Claire, Hazel, Nevaeh, Nora, Avery, Piper, Eva. I ate oatmeal.\"\n16395,2014/11/08,I prepare a burger for lunch.,I prepare a burger for lunch.\n16396,2014/11/08,\"I had dinner with Rylee, Eva, Lydia, Nevaeh, Nora, Layla, Kinsley, Claire, Piper, Piper. I ate tacos.\",\"I had dinner with Rylee, Eva, Lydia, Nevaeh, Nora, Layla, Kinsley, Claire, Piper, Piper. I ate tacos.\"\n16397,2014/11/08,\"I talked to Nora, Piper, Layla for 51 minutes in the early evening.\",\"I talked to Nora, Piper, Layla for 51 minutes in the early evening.\"\n16398,2014/11/08,\"I talked to Eva, Piper, Claire for 42 minutes in the early evening.\",\"I talked to Eva, Piper, Claire for 42 minutes in the early evening.\"\n16399,2014/11/08,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n16400,2014/11/08,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n16401,2014/11/09,\"I was cooking salmon chowder, creamed garden potatoes and peas, poke on 2014/11/09 with Kayden, Emily, Carter, Andrew at my place\",\"I was cooking salmon chowder, creamed garden potatoes and peas, poke on 2014/11/09 with Kayden, Emily, Carter, Andrew at my place\"\n16402,2014/11/09,I did swimming on 2014/11/09.,I did swimming on 2014/11/09.\n16403,2014/11/09,I had breakfast with Andrew. I ate oatmeal.,I had breakfast with Andrew. I ate oatmeal.\n16404,2014/11/09,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n16405,2014/11/09,I prepare sushi for dinner.,I prepare sushi for dinner.\n16406,2014/11/09,I talked to Olivia for 23 minutes during lunch hours.,I talked to Olivia for 23 minutes during lunch hours.\n16407,2014/11/09,\"I spent 45 talking to Nevaeh, Layla on various topics late in the evening.\",\"I spent 45 talking to Nevaeh, Layla on various topics late in the evening.\"\n16408,2014/11/09,\"I spent 47 talking to Kinsley, Olivia on various topics in the morning.\",\"I spent 47 talking to Kinsley, Olivia on various topics in the morning.\"\n16409,2014/11/09,\"I talked to Claire, Nora, Rylee, Olivia for 28 minutes in the morning.\",\"I talked to Claire, Nora, Rylee, Olivia for 28 minutes in the morning.\"\n16410,2014/11/09,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n16411,2014/11/09,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n16412,2014/11/10,I did hiking on 2014/11/10.,I did hiking on 2014/11/10.\n16413,2014/11/10,\"I had toast and cheese for breakfast with Piper, Hazel, Avery, Olivia, Claire\",\"I had toast and cheese for breakfast with Piper, Hazel, Avery, Olivia, Claire\"\n16414,2014/11/10,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n16415,2014/11/10,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n16416,2014/11/10,I spent 46 talking to Avery on various topics during lunch hours.,I spent 46 talking to Avery on various topics during lunch hours.\n16417,2014/11/10,\"I talked to Lydia, Layla for 23 minutes in the early afternoon.\",\"I talked to Lydia, Layla for 23 minutes in the early afternoon.\"\n16418,2014/11/10,\"I talked to Lydia, Piper for 44 minutes in the morning.\",\"I talked to Lydia, Piper for 44 minutes in the morning.\"\n16419,2014/11/10,\"I talked to Kinsley, Nevaeh for 36 minutes in the late afternoon.\",\"I talked to Kinsley, Nevaeh for 36 minutes in the late afternoon.\"\n16420,2014/11/10,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n16421,2014/11/10,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n16422,2014/11/11,I did running on 2014/11/11.,I did running on 2014/11/11.\n16423,2014/11/11,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n16424,2014/11/11,\"I had lunch with Kinsley, Rylee, Lydia, Layla. I ate a burger.\",\"I had lunch with Kinsley, Rylee, Lydia, Layla. I ate a burger.\"\n16425,2014/11/11,\"I had dinner with Emily, Carter. I ate a burger.\",\"I had dinner with Emily, Carter. I ate a burger.\"\n16426,2014/11/11,\"I spent 39 talking to Eva, Nevaeh, Hazel on various topics in the early evening.\",\"I spent 39 talking to Eva, Nevaeh, Hazel on various topics in the early evening.\"\n16427,2014/11/11,\"I spent 40 talking to Claire, Layla, Olivia on various topics in the early evening.\",\"I spent 40 talking to Claire, Layla, Olivia on various topics in the early evening.\"\n16428,2014/11/11,I talked to Nevaeh for 31 minutes in the early evening.,I talked to Nevaeh for 31 minutes in the early evening.\n16429,2014/11/11,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n16430,2014/11/11,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n16431,2014/11/12,\"I was baking chocolate-chip mug brownie, fig tarte tatin on 2014/11/12 with Andrew, Emily, Carter at my place\",\"I was baking chocolate-chip mug brownie, fig tarte tatin on 2014/11/12 with Andrew, Emily, Carter at my place\"\n16432,2014/11/12,I did biking on 2014/11/12.,I did biking on 2014/11/12.\n16433,2014/11/12,\"I had pancakes for breakfast with Benjamin, Willow, Avery, Jackson\",\"I had pancakes for breakfast with Benjamin, Willow, Avery, Jackson\"\n16434,2014/11/12,I prepare steak for lunch.,I prepare steak for lunch.\n16435,2014/11/12,\"I had indian food for dinner with Rylee, Piper\",\"I had indian food for dinner with Rylee, Piper\"\n16436,2014/11/12,I talked to Claire for 32 minutes in the morning.,I talked to Claire for 32 minutes in the morning.\n16437,2014/11/12,\"I talked to Hazel, Nevaeh, Nora for 33 minutes in the morning.\",\"I talked to Hazel, Nevaeh, Nora for 33 minutes in the morning.\"\n16438,2014/11/12,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n16439,2014/11/12,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n16440,2014/11/13,I did HIIT on 2014/11/13.,I did HIIT on 2014/11/13.\n16441,2014/11/13,\"I had breakfast with Piper, Olivia, Nevaeh, Nora, Piper, Eva, Kinsley, Claire. I ate oatmeal.\",\"I had breakfast with Piper, Olivia, Nevaeh, Nora, Piper, Eva, Kinsley, Claire. I ate oatmeal.\"\n16442,2014/11/13,I ate sandwich for lunch.,I ate sandwich for lunch.\n16443,2014/11/13,I had dinner with Andrew. I ate tacos.,I had dinner with Andrew. I ate tacos.\n16444,2014/11/13,I talked to Kinsley for 27 minutes in the early evening.,I talked to Kinsley for 27 minutes in the early evening.\n16445,2014/11/13,I talked to Nevaeh for 44 minutes in the early afternoon.,I talked to Nevaeh for 44 minutes in the early afternoon.\n16446,2014/11/13,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n16447,2014/11/13,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n16448,2014/11/14,I spent time working out on 2014/11/14 with Layla.,I spent time working out on 2014/11/14 with Layla.\n16449,2014/11/14,\"I bought some cherres, apples, strawberries, mandarins, mineral water, sports drinks, mouthwash from the grocery store. I saw Andrew, Kayden, Emily, Carter at the grocery store.\",\"I bought some cherres, apples, strawberries, mandarins, mineral water, sports drinks, mouthwash from the grocery store. I saw Andrew, Kayden, Emily, Carter at the grocery store.\"\n16450,2014/11/14,I did HIIT on 2014/11/14.,I did HIIT on 2014/11/14.\n16451,2014/11/14,\"I had breakfast with Carter, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Andrew. I ate peanut-butter-jam.\"\n16452,2014/11/14,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n16453,2014/11/14,I had dinner with Emily. I ate fish and chips.,I had dinner with Emily. I ate fish and chips.\n16454,2014/11/14,I spent 9 talking to Avery on various topics in the early afternoon.,I spent 9 talking to Avery on various topics in the early afternoon.\n16455,2014/11/14,\"I talked to Nevaeh, Kinsley for 6 minutes in the early evening.\",\"I talked to Nevaeh, Kinsley for 6 minutes in the early evening.\"\n16456,2014/11/14,\"I talked to Claire, Nevaeh, Rylee for 18 minutes in the early evening.\",\"I talked to Claire, Nevaeh, Rylee for 18 minutes in the early evening.\"\n16457,2014/11/14,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n16458,2014/11/14,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n16459,2014/11/15,\"I spent time working out on 2014/11/15 with Avery, Olivia.\",\"I spent time working out on 2014/11/15 with Avery, Olivia.\"\n16460,2014/11/15,I did biking on 2014/11/15.,I did biking on 2014/11/15.\n16461,2014/11/15,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n16462,2014/11/15,\"I had lunch with Benjamin, Avery, Willow, Jackson. I ate sushi.\",\"I had lunch with Benjamin, Avery, Willow, Jackson. I ate sushi.\"\n16463,2014/11/15,I prepare a burger for dinner.,I prepare a burger for dinner.\n16464,2014/11/15,\"I spent 29 talking to Hazel, Claire, Eva, Rylee on various topics in the early evening.\",\"I spent 29 talking to Hazel, Claire, Eva, Rylee on various topics in the early evening.\"\n16465,2014/11/15,\"I spent 25 talking to Avery, Claire, Layla on various topics in the early evening.\",\"I spent 25 talking to Avery, Claire, Layla on various topics in the early evening.\"\n16466,2014/11/15,\"I talked to Avery, Olivia, Eva for 14 minutes during lunch hours.\",\"I talked to Avery, Olivia, Eva for 14 minutes during lunch hours.\"\n16467,2014/11/15,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n16468,2014/11/15,I spent 29 minutes watching a documentary on TV today.,I spent 29 minutes watching a documentary on TV today.\n16469,2014/11/16,I did HIIT on 2014/11/16.,I did HIIT on 2014/11/16.\n16470,2014/11/16,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n16471,2014/11/16,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n16472,2014/11/16,I ate tacos for dinner.,I ate tacos for dinner.\n16473,2014/11/16,\"I talked to Olivia, Claire, Layla, Hazel for 21 minutes during lunch hours.\",\"I talked to Olivia, Claire, Layla, Hazel for 21 minutes during lunch hours.\"\n16474,2014/11/16,\"I talked to Hazel, Layla for 25 minutes late in the evening.\",\"I talked to Hazel, Layla for 25 minutes late in the evening.\"\n16475,2014/11/16,I talked to Eva for 42 minutes in the morning.,I talked to Eva for 42 minutes in the morning.\n16476,2014/11/16,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n16477,2014/11/16,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n16478,2014/11/17,I did hiking on 2014/11/17.,I did hiking on 2014/11/17.\n16479,2014/11/17,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n16480,2014/11/17,I had lunch with Jackson. I ate pasta.,I had lunch with Jackson. I ate pasta.\n16481,2014/11/17,\"I had indian food for dinner with Kinsley, Layla, Nevaeh, Piper, Claire, Nora, Lydia\",\"I had indian food for dinner with Kinsley, Layla, Nevaeh, Piper, Claire, Nora, Lydia\"\n16482,2014/11/17,I talked to Hazel for 11 minutes in the late afternoon.,I talked to Hazel for 11 minutes in the late afternoon.\n16483,2014/11/17,\"I talked to Lydia, Avery, Rylee, Piper for 52 minutes in the early evening.\",\"I talked to Lydia, Avery, Rylee, Piper for 52 minutes in the early evening.\"\n16484,2014/11/17,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n16485,2014/11/17,I spent 27 minutes watching a movie on TV today.,I spent 27 minutes watching a movie on TV today.\n16486,2014/11/18,\"I went grocery shopping. I bought some clementines, apricots, coffee, apple juice, sports drinks, and toilet paper, conditioner, toothpaste\",\"I went grocery shopping. I bought some clementines, apricots, coffee, apple juice, sports drinks, and toilet paper, conditioner, toothpaste\"\n16487,2014/11/18,I did swimming on 2014/11/18.,I did swimming on 2014/11/18.\n16488,2014/11/18,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n16489,2014/11/18,\"I had lunch with Willow, Benjamin, Jackson. I ate sushi.\",\"I had lunch with Willow, Benjamin, Jackson. I ate sushi.\"\n16490,2014/11/18,I ate steak for dinner.,I ate steak for dinner.\n16491,2014/11/18,\"I talked to Lydia, Nora, Avery for 55 minutes during lunch hours.\",\"I talked to Lydia, Nora, Avery for 55 minutes during lunch hours.\"\n16492,2014/11/18,\"I spent 53 talking to Claire, Piper, Nora, Eva on various topics during lunch hours.\",\"I spent 53 talking to Claire, Piper, Nora, Eva on various topics during lunch hours.\"\n16493,2014/11/18,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n16494,2014/11/18,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n16495,2014/11/19,I did running on 2014/11/19.,I did running on 2014/11/19.\n16496,2014/11/19,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n16497,2014/11/19,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n16498,2014/11/19,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n16499,2014/11/19,I talked to Kinsley for 40 minutes in the early evening.,I talked to Kinsley for 40 minutes in the early evening.\n16500,2014/11/19,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n16501,2014/11/19,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n16502,2014/11/20,\"I had breakfast with Piper, Rylee, Avery, Nora. I ate cereals.\",\"I had breakfast with Piper, Rylee, Avery, Nora. I ate cereals.\"\n16503,2014/11/20,\"I had a burger for lunch with Willow, Avery\",\"I had a burger for lunch with Willow, Avery\"\n16504,2014/11/20,I had dinner with Benjamin. I ate indian food.,I had dinner with Benjamin. I ate indian food.\n16505,2014/11/20,\"I spent 30 talking to Layla, Piper, Olivia, Claire on various topics in the morning.\",\"I spent 30 talking to Layla, Piper, Olivia, Claire on various topics in the morning.\"\n16506,2014/11/20,\"I spent 34 talking to Avery, Kinsley on various topics in the morning.\",\"I spent 34 talking to Avery, Kinsley on various topics in the morning.\"\n16507,2014/11/20,\"I talked to Nevaeh, Piper, Kinsley for 9 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Kinsley for 9 minutes in the early afternoon.\"\n16508,2014/11/20,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n16509,2014/11/20,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n16510,2014/11/21,I did swimming on 2014/11/21.,I did swimming on 2014/11/21.\n16511,2014/11/21,I ate cereals for breakfast.,I ate cereals for breakfast.\n16512,2014/11/21,I prepare indian food for lunch.,I prepare indian food for lunch.\n16513,2014/11/21,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n16514,2014/11/21,\"I talked to Layla, Piper for 25 minutes in the late afternoon.\",\"I talked to Layla, Piper for 25 minutes in the late afternoon.\"\n16515,2014/11/21,I spent 41 talking to Olivia on various topics in the late afternoon.,I spent 41 talking to Olivia on various topics in the late afternoon.\n16516,2014/11/21,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n16517,2014/11/21,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n16518,2014/11/22,\"On 2014/11/22, I took Jeremiah on a date to a restaurant\",\"On 2014/11/22, I took Jeremiah on a date to a restaurant\"\n16519,2014/11/22,\"I spent time working out on 2014/11/22 with Nora, Olivia, Nevaeh.\",\"I spent time working out on 2014/11/22 with Nora, Olivia, Nevaeh.\"\n16520,2014/11/22,I did weight lifting on 2014/11/22.,I did weight lifting on 2014/11/22.\n16521,2014/11/22,\"I had eggs, sausages, and bread for breakfast with Andrew, Emily\",\"I had eggs, sausages, and bread for breakfast with Andrew, Emily\"\n16522,2014/11/22,\"I had lunch with Kayden, Emily, Carter, Andrew. I ate indian food.\",\"I had lunch with Kayden, Emily, Carter, Andrew. I ate indian food.\"\n16523,2014/11/22,\"I had dinner with Carter, Emily, Kayden. I ate tacos.\",\"I had dinner with Carter, Emily, Kayden. I ate tacos.\"\n16524,2014/11/22,\"I talked to Avery, Claire, Eva for 52 minutes in the morning.\",\"I talked to Avery, Claire, Eva for 52 minutes in the morning.\"\n16525,2014/11/22,\"I spent 39 talking to Lydia, Piper, Layla on various topics during lunch hours.\",\"I spent 39 talking to Lydia, Piper, Layla on various topics during lunch hours.\"\n16526,2014/11/22,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n16527,2014/11/22,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n16528,2014/11/23,I did running on 2014/11/23.,I did running on 2014/11/23.\n16529,2014/11/23,I ate cereals for breakfast.,I ate cereals for breakfast.\n16530,2014/11/23,\"I had a burger for lunch with Layla, Eva, Kinsley, Nevaeh, Avery, Olivia, Rylee, Piper, Piper, Nora, Lydia\",\"I had a burger for lunch with Layla, Eva, Kinsley, Nevaeh, Avery, Olivia, Rylee, Piper, Piper, Nora, Lydia\"\n16531,2014/11/23,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n16532,2014/11/23,\"I spent 38 talking to Nora, Nevaeh on various topics in the late afternoon.\",\"I spent 38 talking to Nora, Nevaeh on various topics in the late afternoon.\"\n16533,2014/11/23,\"I talked to Hazel, Nevaeh for 52 minutes in the morning.\",\"I talked to Hazel, Nevaeh for 52 minutes in the morning.\"\n16534,2014/11/23,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n16535,2014/11/23,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n16536,2014/11/24,\"I bought some apples, peaches, mangos, orange juice, milk, sports drinks, shampoo, mouth wash, toothpaste from the grocery store. I saw Kayden, Emily, Andrew at the grocery store.\",\"I bought some apples, peaches, mangos, orange juice, milk, sports drinks, shampoo, mouth wash, toothpaste from the grocery store. I saw Kayden, Emily, Andrew at the grocery store.\"\n16537,2014/11/24,I did HIIT on 2014/11/24.,I did HIIT on 2014/11/24.\n16538,2014/11/24,I had toast and cheese for breakfast with Kayden,I had toast and cheese for breakfast with Kayden\n16539,2014/11/24,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n16540,2014/11/24,\"I had dinner with Kinsley, Olivia, Nevaeh, Hazel, Layla, Piper, Piper, Rylee, Nora, Eva, Lydia, Avery. I ate a burger.\",\"I had dinner with Kinsley, Olivia, Nevaeh, Hazel, Layla, Piper, Piper, Rylee, Nora, Eva, Lydia, Avery. I ate a burger.\"\n16541,2014/11/24,\"I talked to Piper, Rylee, Avery for 16 minutes during lunch hours.\",\"I talked to Piper, Rylee, Avery for 16 minutes during lunch hours.\"\n16542,2014/11/24,\"I talked to Hazel, Piper, Eva, Olivia for 50 minutes in the morning.\",\"I talked to Hazel, Piper, Eva, Olivia for 50 minutes in the morning.\"\n16543,2014/11/24,\"I spent 33 talking to Lydia, Kinsley, Nora on various topics in the morning.\",\"I spent 33 talking to Lydia, Kinsley, Nora on various topics in the morning.\"\n16544,2014/11/24,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n16545,2014/11/24,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n16546,2014/11/25,I did HIIT on 2014/11/25.,I did HIIT on 2014/11/25.\n16547,2014/11/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n16548,2014/11/25,\"I had lunch with Avery, Lydia, Piper, Kinsley, Nora, Rylee, Hazel, Claire. I ate chinese food.\",\"I had lunch with Avery, Lydia, Piper, Kinsley, Nora, Rylee, Hazel, Claire. I ate chinese food.\"\n16549,2014/11/25,I ate steak for dinner.,I ate steak for dinner.\n16550,2014/11/25,\"I talked to Eva, Hazel, Piper for 46 minutes late in the evening.\",\"I talked to Eva, Hazel, Piper for 46 minutes late in the evening.\"\n16551,2014/11/25,\"I spent 30 talking to Claire, Olivia on various topics in the late afternoon.\",\"I spent 30 talking to Claire, Olivia on various topics in the late afternoon.\"\n16552,2014/11/25,\"I talked to Lydia, Piper, Hazel, Claire for 32 minutes in the morning.\",\"I talked to Lydia, Piper, Hazel, Claire for 32 minutes in the morning.\"\n16553,2014/11/25,\"I talked to Claire, Piper, Hazel, Rylee for 24 minutes in the late afternoon.\",\"I talked to Claire, Piper, Hazel, Rylee for 24 minutes in the late afternoon.\"\n16554,2014/11/25,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n16555,2014/11/25,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n16556,2014/11/26,I did biking on 2014/11/26.,I did biking on 2014/11/26.\n16557,2014/11/26,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n16558,2014/11/26,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n16559,2014/11/26,\"I had dinner with Emily, Carter, Kayden. I ate indian food.\",\"I had dinner with Emily, Carter, Kayden. I ate indian food.\"\n16560,2014/11/26,\"I talked to Lydia, Piper for 30 minutes in the early evening.\",\"I talked to Lydia, Piper for 30 minutes in the early evening.\"\n16561,2014/11/26,\"I talked to Lydia, Olivia, Hazel, Piper for 34 minutes in the early evening.\",\"I talked to Lydia, Olivia, Hazel, Piper for 34 minutes in the early evening.\"\n16562,2014/11/26,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n16563,2014/11/26,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n16564,2014/11/27,I did swimming on 2014/11/27.,I did swimming on 2014/11/27.\n16565,2014/11/27,\"I had breakfast with Nevaeh, Kinsley. I ate oatmeal.\",\"I had breakfast with Nevaeh, Kinsley. I ate oatmeal.\"\n16566,2014/11/27,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n16567,2014/11/27,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n16568,2014/11/27,I spent 16 talking to Hazel on various topics during lunch hours.,I spent 16 talking to Hazel on various topics during lunch hours.\n16569,2014/11/27,I spent 32 talking to Nora on various topics in the early afternoon.,I spent 32 talking to Nora on various topics in the early afternoon.\n16570,2014/11/27,\"I spent 24 talking to Piper, Claire on various topics in the late afternoon.\",\"I spent 24 talking to Piper, Claire on various topics in the late afternoon.\"\n16571,2014/11/27,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n16572,2014/11/27,I spent 54 minutes watching a movie on TV today.,I spent 54 minutes watching a movie on TV today.\n16573,2014/11/28,\"On 2014/11/28, I took Lillian on a date to a coffee Shop\",\"On 2014/11/28, I took Lillian on a date to a coffee Shop\"\n16574,2014/11/28,\"I bought some clementines, bananas, pineapple juice, orange juice, body lotion, paper towel online.\",\"I bought some clementines, bananas, pineapple juice, orange juice, body lotion, paper towel online.\"\n16575,2014/11/28,I did hiking on 2014/11/28.,I did hiking on 2014/11/28.\n16576,2014/11/28,\"I had cereals for breakfast with Emily, Kayden, Carter\",\"I had cereals for breakfast with Emily, Kayden, Carter\"\n16577,2014/11/28,I prepare a burger for lunch.,I prepare a burger for lunch.\n16578,2014/11/28,I prepare sushi for dinner.,I prepare sushi for dinner.\n16579,2014/11/28,I talked to Olivia for 8 minutes late in the evening.,I talked to Olivia for 8 minutes late in the evening.\n16580,2014/11/28,\"I talked to Piper, Layla, Nevaeh, Lydia for 22 minutes in the morning.\",\"I talked to Piper, Layla, Nevaeh, Lydia for 22 minutes in the morning.\"\n16581,2014/11/28,\"I spent 8 talking to Piper, Avery on various topics in the early evening.\",\"I spent 8 talking to Piper, Avery on various topics in the early evening.\"\n16582,2014/11/28,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n16583,2014/11/28,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n16584,2014/11/29,\"I entertained Emily, Kayden at my place on 2014/11/29 and cook rigatoni with sausage & peas, cream of celery soup recipe, chow mein\",\"I entertained Emily, Kayden at my place on 2014/11/29 and cook rigatoni with sausage & peas, cream of celery soup recipe, chow mein\"\n16585,2014/11/29,\"I bought some nectarines, blackberries, milk, coffee, toilet paper, shaving cream, mouth wash online.\",\"I bought some nectarines, blackberries, milk, coffee, toilet paper, shaving cream, mouth wash online.\"\n16586,2014/11/29,I did biking on 2014/11/29.,I did biking on 2014/11/29.\n16587,2014/11/29,\"I had oatmeal for breakfast with Benjamin, Willow, Jackson\",\"I had oatmeal for breakfast with Benjamin, Willow, Jackson\"\n16588,2014/11/29,\"I had lunch with Rylee, Nevaeh, Lydia, Eva, Olivia, Claire, Piper, Piper. I ate pasta.\",\"I had lunch with Rylee, Nevaeh, Lydia, Eva, Olivia, Claire, Piper, Piper. I ate pasta.\"\n16589,2014/11/29,I ate pasta for dinner.,I ate pasta for dinner.\n16590,2014/11/29,\"I spent 5 talking to Claire, Piper, Eva on various topics in the early afternoon.\",\"I spent 5 talking to Claire, Piper, Eva on various topics in the early afternoon.\"\n16591,2014/11/29,\"I talked to Nora, Eva, Avery, Piper for 13 minutes in the morning.\",\"I talked to Nora, Eva, Avery, Piper for 13 minutes in the morning.\"\n16592,2014/11/29,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n16593,2014/11/29,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n16594,2014/11/30,\"On 2014/11/30, I took Caleb on a date to a boba shop\",\"On 2014/11/30, I took Caleb on a date to a boba shop\"\n16595,2014/11/30,I did biking on 2014/11/30.,I did biking on 2014/11/30.\n16596,2014/11/30,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n16597,2014/11/30,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n16598,2014/11/30,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n16599,2014/11/30,\"I talked to Olivia, Piper, Kinsley for 14 minutes during lunch hours.\",\"I talked to Olivia, Piper, Kinsley for 14 minutes during lunch hours.\"\n16600,2014/11/30,\"I talked to Kinsley, Hazel, Piper, Rylee for 34 minutes in the early evening.\",\"I talked to Kinsley, Hazel, Piper, Rylee for 34 minutes in the early evening.\"\n16601,2014/11/30,\"I talked to Nevaeh, Avery, Rylee, Piper for 54 minutes late in the evening.\",\"I talked to Nevaeh, Avery, Rylee, Piper for 54 minutes late in the evening.\"\n16602,2014/11/30,\"I spent 31 talking to Kinsley, Lydia on various topics in the early afternoon.\",\"I spent 31 talking to Kinsley, Lydia on various topics in the early afternoon.\"\n16603,2014/11/30,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n16604,2014/11/30,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n16605,2014/12/01,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n16606,2014/12/01,\"I had lunch with Jackson, Avery. I ate a burger.\",\"I had lunch with Jackson, Avery. I ate a burger.\"\n16607,2014/12/01,I ate sandwich for dinner.,I ate sandwich for dinner.\n16608,2014/12/01,\"I talked to Claire, Nevaeh for 52 minutes in the late afternoon.\",\"I talked to Claire, Nevaeh for 52 minutes in the late afternoon.\"\n16609,2014/12/01,\"I spent 24 talking to Olivia, Kinsley, Nevaeh on various topics during lunch hours.\",\"I spent 24 talking to Olivia, Kinsley, Nevaeh on various topics during lunch hours.\"\n16610,2014/12/01,\"I spent 39 talking to Nevaeh, Eva, Olivia on various topics late in the evening.\",\"I spent 39 talking to Nevaeh, Eva, Olivia on various topics late in the evening.\"\n16611,2014/12/01,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n16612,2014/12/01,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n16613,2014/12/02,I spent some time meditation on 2014/12/02.,I spent some time meditation on 2014/12/02.\n16614,2014/12/02,I did weight lifting on 2014/12/02.,I did weight lifting on 2014/12/02.\n16615,2014/12/02,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n16616,2014/12/02,\"I had a burger for lunch with Nora, Kinsley\",\"I had a burger for lunch with Nora, Kinsley\"\n16617,2014/12/02,\"I had dinner with Carter, Andrew, Emily. I ate indian food.\",\"I had dinner with Carter, Andrew, Emily. I ate indian food.\"\n16618,2014/12/02,I spent 21 talking to Eva on various topics in the early afternoon.,I spent 21 talking to Eva on various topics in the early afternoon.\n16619,2014/12/02,I talked to Hazel for 45 minutes in the morning.,I talked to Hazel for 45 minutes in the morning.\n16620,2014/12/02,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n16621,2014/12/02,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n16622,2014/12/03,I did swimming on 2014/12/03.,I did swimming on 2014/12/03.\n16623,2014/12/03,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n16624,2014/12/03,I prepare pasta for lunch.,I prepare pasta for lunch.\n16625,2014/12/03,I prepare tacos for dinner.,I prepare tacos for dinner.\n16626,2014/12/03,\"I spent 26 talking to Olivia, Layla, Hazel on various topics in the early evening.\",\"I spent 26 talking to Olivia, Layla, Hazel on various topics in the early evening.\"\n16627,2014/12/03,\"I talked to Hazel, Kinsley for 10 minutes late in the evening.\",\"I talked to Hazel, Kinsley for 10 minutes late in the evening.\"\n16628,2014/12/03,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n16629,2014/12/03,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n16630,2014/12/04,I did weight lifting on 2014/12/04.,I did weight lifting on 2014/12/04.\n16631,2014/12/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n16632,2014/12/04,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n16633,2014/12/04,\"I had dinner with Andrew, Kayden. I ate sandwich.\",\"I had dinner with Andrew, Kayden. I ate sandwich.\"\n16634,2014/12/04,\"I spent 22 talking to Nora, Layla on various topics in the late afternoon.\",\"I spent 22 talking to Nora, Layla on various topics in the late afternoon.\"\n16635,2014/12/04,I talked to Lydia for 25 minutes late in the evening.,I talked to Lydia for 25 minutes late in the evening.\n16636,2014/12/04,\"I spent 38 talking to Hazel, Layla on various topics in the early evening.\",\"I spent 38 talking to Hazel, Layla on various topics in the early evening.\"\n16637,2014/12/04,I talked to Lydia for 27 minutes late in the evening.,I talked to Lydia for 27 minutes late in the evening.\n16638,2014/12/04,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n16639,2014/12/04,I watched news for 28 minutes on TV today.,I watched news for 28 minutes on TV today.\n16640,2014/12/05,\"On 2014/12/05, I took Oliver on a date to a boba shop\",\"On 2014/12/05, I took Oliver on a date to a boba shop\"\n16641,2014/12/05,\"I bought some blackberries, mangos, apple juice, pineapple juice, coffee, shaving cream, toilet paper from the grocery store. I saw Layla, Lydia, Avery, Claire, Eva, Piper, Piper at the grocery store.\",\"I bought some blackberries, mangos, apple juice, pineapple juice, coffee, shaving cream, toilet paper from the grocery store. I saw Layla, Lydia, Avery, Claire, Eva, Piper, Piper at the grocery store.\"\n16642,2014/12/05,I did biking on 2014/12/05.,I did biking on 2014/12/05.\n16643,2014/12/05,\"I had oatmeal for breakfast with Carter, Kayden, Emily, Andrew\",\"I had oatmeal for breakfast with Carter, Kayden, Emily, Andrew\"\n16644,2014/12/05,\"I had indian food for lunch with Emily, Kayden, Carter\",\"I had indian food for lunch with Emily, Kayden, Carter\"\n16645,2014/12/05,I ate chinese food for dinner.,I ate chinese food for dinner.\n16646,2014/12/05,\"I talked to Lydia, Nevaeh, Rylee, Olivia for 43 minutes in the early afternoon.\",\"I talked to Lydia, Nevaeh, Rylee, Olivia for 43 minutes in the early afternoon.\"\n16647,2014/12/05,I talked to Eva for 19 minutes late in the evening.,I talked to Eva for 19 minutes late in the evening.\n16648,2014/12/05,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n16649,2014/12/05,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n16650,2014/12/06,I did running on 2014/12/06.,I did running on 2014/12/06.\n16651,2014/12/06,I had oatmeal for breakfast with Avery,I had oatmeal for breakfast with Avery\n16652,2014/12/06,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n16653,2014/12/06,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n16654,2014/12/06,I spent 48 talking to Olivia on various topics in the morning.,I spent 48 talking to Olivia on various topics in the morning.\n16655,2014/12/06,\"I spent 15 talking to Olivia, Eva on various topics during lunch hours.\",\"I spent 15 talking to Olivia, Eva on various topics during lunch hours.\"\n16656,2014/12/06,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n16657,2014/12/06,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n16658,2014/12/07,I did hiking on 2014/12/07.,I did hiking on 2014/12/07.\n16659,2014/12/07,\"I had breakfast with Jackson, Benjamin, Willow, Avery. I ate oatmeal.\",\"I had breakfast with Jackson, Benjamin, Willow, Avery. I ate oatmeal.\"\n16660,2014/12/07,\"I had indian food for lunch with Kayden, Carter, Emily, Andrew\",\"I had indian food for lunch with Kayden, Carter, Emily, Andrew\"\n16661,2014/12/07,\"I had pasta for dinner with Willow, Avery\",\"I had pasta for dinner with Willow, Avery\"\n16662,2014/12/07,I spent 47 talking to Kinsley on various topics in the morning.,I spent 47 talking to Kinsley on various topics in the morning.\n16663,2014/12/07,\"I spent 53 talking to Nevaeh, Rylee, Lydia, Layla on various topics in the morning.\",\"I spent 53 talking to Nevaeh, Rylee, Lydia, Layla on various topics in the morning.\"\n16664,2014/12/07,\"I spent 51 talking to Piper, Olivia, Lydia on various topics in the early evening.\",\"I spent 51 talking to Piper, Olivia, Lydia on various topics in the early evening.\"\n16665,2014/12/07,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n16666,2014/12/07,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n16667,2014/12/08,I went for an annual dental cleaning and checkup on 2014/12/08 at the university hospital.,I went for an annual dental cleaning and checkup on 2014/12/08 at the university hospital.\n16668,2014/12/08,\"I had breakfast with Andrew, Kayden. I ate oatmeal.\",\"I had breakfast with Andrew, Kayden. I ate oatmeal.\"\n16669,2014/12/08,\"I had lunch with Olivia, Nevaeh, Kinsley, Piper, Rylee, Hazel, Piper, Claire. I ate sandwich.\",\"I had lunch with Olivia, Nevaeh, Kinsley, Piper, Rylee, Hazel, Piper, Claire. I ate sandwich.\"\n16670,2014/12/08,I prepare pasta for dinner.,I prepare pasta for dinner.\n16671,2014/12/08,\"I talked to Lydia, Hazel for 13 minutes in the early evening.\",\"I talked to Lydia, Hazel for 13 minutes in the early evening.\"\n16672,2014/12/08,\"I talked to Olivia, Nora for 52 minutes during lunch hours.\",\"I talked to Olivia, Nora for 52 minutes during lunch hours.\"\n16673,2014/12/08,I talked to Layla for 22 minutes in the early evening.,I talked to Layla for 22 minutes in the early evening.\n16674,2014/12/08,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n16675,2014/12/08,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n16676,2014/12/09,I did running on 2014/12/09.,I did running on 2014/12/09.\n16677,2014/12/09,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n16678,2014/12/09,I ate sandwich for lunch.,I ate sandwich for lunch.\n16679,2014/12/09,\"I had dinner with Layla, Nora, Olivia, Piper, Eva, Hazel, Rylee, Lydia, Piper. I ate pasta.\",\"I had dinner with Layla, Nora, Olivia, Piper, Eva, Hazel, Rylee, Lydia, Piper. I ate pasta.\"\n16680,2014/12/09,I talked to Piper for 17 minutes in the late afternoon.,I talked to Piper for 17 minutes in the late afternoon.\n16681,2014/12/09,\"I spent 16 talking to Claire, Piper, Layla on various topics in the early evening.\",\"I spent 16 talking to Claire, Piper, Layla on various topics in the early evening.\"\n16682,2014/12/09,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n16683,2014/12/09,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n16684,2014/12/10,I did weight lifting on 2014/12/10.,I did weight lifting on 2014/12/10.\n16685,2014/12/10,\"I had breakfast with Kayden, Carter, Andrew. I ate toast and cheese.\",\"I had breakfast with Kayden, Carter, Andrew. I ate toast and cheese.\"\n16686,2014/12/10,I had fish and chips for lunch with Willow,I had fish and chips for lunch with Willow\n16687,2014/12/10,\"I had a burger for dinner with Andrew, Emily, Carter, Kayden\",\"I had a burger for dinner with Andrew, Emily, Carter, Kayden\"\n16688,2014/12/10,\"I talked to Avery, Hazel, Layla for 24 minutes in the late afternoon.\",\"I talked to Avery, Hazel, Layla for 24 minutes in the late afternoon.\"\n16689,2014/12/10,\"I talked to Rylee, Piper for 36 minutes in the morning.\",\"I talked to Rylee, Piper for 36 minutes in the morning.\"\n16690,2014/12/10,I spent 42 talking to Claire on various topics late in the evening.,I spent 42 talking to Claire on various topics late in the evening.\n16691,2014/12/10,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n16692,2014/12/10,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n16693,2014/12/11,\"I went grocery shopping with Avery, Hazel, Layla, Nora, Kinsley, Claire, Piper, Lydia, Nevaeh, Olivia. I bought some raspberries, peaches, apricots, apple juice, milk, and toilet paper\",\"I went grocery shopping with Avery, Hazel, Layla, Nora, Kinsley, Claire, Piper, Lydia, Nevaeh, Olivia. I bought some raspberries, peaches, apricots, apple juice, milk, and toilet paper\"\n16694,2014/12/11,I did biking on 2014/12/11.,I did biking on 2014/12/11.\n16695,2014/12/11,\"I had oatmeal for breakfast with Avery, Benjamin, Willow, Jackson\",\"I had oatmeal for breakfast with Avery, Benjamin, Willow, Jackson\"\n16696,2014/12/11,\"I had pasta for lunch with Lydia, Eva, Piper, Kinsley, Nora, Nevaeh, Claire, Rylee, Layla, Olivia, Piper, Hazel, Avery\",\"I had pasta for lunch with Lydia, Eva, Piper, Kinsley, Nora, Nevaeh, Claire, Rylee, Layla, Olivia, Piper, Hazel, Avery\"\n16697,2014/12/11,I prepare pasta for dinner.,I prepare pasta for dinner.\n16698,2014/12/11,\"I spent 34 talking to Olivia, Kinsley on various topics late in the evening.\",\"I spent 34 talking to Olivia, Kinsley on various topics late in the evening.\"\n16699,2014/12/11,\"I spent 53 talking to Hazel, Lydia, Claire on various topics during lunch hours.\",\"I spent 53 talking to Hazel, Lydia, Claire on various topics during lunch hours.\"\n16700,2014/12/11,\"I spent 45 talking to Hazel, Eva, Nora on various topics in the early evening.\",\"I spent 45 talking to Hazel, Eva, Nora on various topics in the early evening.\"\n16701,2014/12/11,\"I talked to Lydia, Nora, Claire for 50 minutes in the late afternoon.\",\"I talked to Lydia, Nora, Claire for 50 minutes in the late afternoon.\"\n16702,2014/12/11,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n16703,2014/12/11,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n16704,2014/12/12,I did HIIT on 2014/12/12.,I did HIIT on 2014/12/12.\n16705,2014/12/12,\"I had breakfast with Emily, Andrew, Carter. I ate toast and cheese.\",\"I had breakfast with Emily, Andrew, Carter. I ate toast and cheese.\"\n16706,2014/12/12,I ate sushi for lunch.,I ate sushi for lunch.\n16707,2014/12/12,I ate a burger for dinner.,I ate a burger for dinner.\n16708,2014/12/12,\"I talked to Lydia, Hazel for 33 minutes in the early afternoon.\",\"I talked to Lydia, Hazel for 33 minutes in the early afternoon.\"\n16709,2014/12/12,I talked to Avery for 44 minutes in the morning.,I talked to Avery for 44 minutes in the morning.\n16710,2014/12/12,\"I spent 43 talking to Olivia, Rylee, Eva, Piper on various topics in the early afternoon.\",\"I spent 43 talking to Olivia, Rylee, Eva, Piper on various topics in the early afternoon.\"\n16711,2014/12/12,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n16712,2014/12/12,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n16713,2014/12/13,I did biking on 2014/12/13.,I did biking on 2014/12/13.\n16714,2014/12/13,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n16715,2014/12/13,I ate sandwich for lunch.,I ate sandwich for lunch.\n16716,2014/12/13,I prepare tacos for dinner.,I prepare tacos for dinner.\n16717,2014/12/13,\"I spent 7 talking to Rylee, Eva on various topics in the early evening.\",\"I spent 7 talking to Rylee, Eva on various topics in the early evening.\"\n16718,2014/12/13,I spent 18 talking to Avery on various topics in the early afternoon.,I spent 18 talking to Avery on various topics in the early afternoon.\n16719,2014/12/13,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n16720,2014/12/13,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n16721,2014/12/14,I went on a date with Elizabeth on 2014/12/14 at a park,I went on a date with Elizabeth on 2014/12/14 at a park\n16722,2014/12/14,\"I went grocery shopping with Willow, Jackson, Benjamin, Avery. I bought some pears, mineral water, guava juice, mango juice, milk, and shampoo, body lotion\",\"I went grocery shopping with Willow, Jackson, Benjamin, Avery. I bought some pears, mineral water, guava juice, mango juice, milk, and shampoo, body lotion\"\n16723,2014/12/14,I did running on 2014/12/14.,I did running on 2014/12/14.\n16724,2014/12/14,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n16725,2014/12/14,\"I had lunch with Nevaeh, Kinsley, Olivia, Layla. I ate pasta.\",\"I had lunch with Nevaeh, Kinsley, Olivia, Layla. I ate pasta.\"\n16726,2014/12/14,I ate sandwich for dinner.,I ate sandwich for dinner.\n16727,2014/12/14,I talked to Piper for 20 minutes during lunch hours.,I talked to Piper for 20 minutes during lunch hours.\n16728,2014/12/14,\"I spent 41 talking to Hazel, Piper, Eva on various topics in the morning.\",\"I spent 41 talking to Hazel, Piper, Eva on various topics in the morning.\"\n16729,2014/12/14,\"I talked to Piper, Claire for 32 minutes during lunch hours.\",\"I talked to Piper, Claire for 32 minutes during lunch hours.\"\n16730,2014/12/14,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n16731,2014/12/14,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n16732,2014/12/15,\"I was cooking air-fryer brats, chinese broccoli with oyster sauce, chicken parmesan spaghetti on 2014/12/15 with Eva, Layla at my place\",\"I was cooking air-fryer brats, chinese broccoli with oyster sauce, chicken parmesan spaghetti on 2014/12/15 with Eva, Layla at my place\"\n16733,2014/12/15,I did biking on 2014/12/15.,I did biking on 2014/12/15.\n16734,2014/12/15,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n16735,2014/12/15,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n16736,2014/12/15,\"I had sushi for dinner with Carter, Andrew, Kayden, Emily\",\"I had sushi for dinner with Carter, Andrew, Kayden, Emily\"\n16737,2014/12/15,\"I spent 51 talking to Lydia, Rylee on various topics in the late afternoon.\",\"I spent 51 talking to Lydia, Rylee on various topics in the late afternoon.\"\n16738,2014/12/15,I talked to Kinsley for 39 minutes in the morning.,I talked to Kinsley for 39 minutes in the morning.\n16739,2014/12/15,I talked to Piper for 46 minutes in the late afternoon.,I talked to Piper for 46 minutes in the late afternoon.\n16740,2014/12/15,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n16741,2014/12/15,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n16742,2014/12/16,I did weight lifting on 2014/12/16.,I did weight lifting on 2014/12/16.\n16743,2014/12/16,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n16744,2014/12/16,\"I had lunch with Kayden, Carter, Andrew. I ate pasta.\",\"I had lunch with Kayden, Carter, Andrew. I ate pasta.\"\n16745,2014/12/16,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n16746,2014/12/16,I spent 27 talking to Piper on various topics late in the evening.,I spent 27 talking to Piper on various topics late in the evening.\n16747,2014/12/16,\"I talked to Layla, Nora, Piper, Rylee for 12 minutes in the late afternoon.\",\"I talked to Layla, Nora, Piper, Rylee for 12 minutes in the late afternoon.\"\n16748,2014/12/16,I spent 52 talking to Nevaeh on various topics in the early evening.,I spent 52 talking to Nevaeh on various topics in the early evening.\n16749,2014/12/16,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n16750,2014/12/16,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n16751,2014/12/17,\"On 2014/12/17, I took Aaliyah on a date to a boba shop\",\"On 2014/12/17, I took Aaliyah on a date to a boba shop\"\n16752,2014/12/17,I spent some time yoga on 2014/12/17.,I spent some time yoga on 2014/12/17.\n16753,2014/12/17,\"I went grocery shopping. I bought some mandarins, peaches, watermelons, cherres, chocolate milk, mineral water, and paper towel, mouthwash, mouth wash, facial wash\",\"I went grocery shopping. I bought some mandarins, peaches, watermelons, cherres, chocolate milk, mineral water, and paper towel, mouthwash, mouth wash, facial wash\"\n16754,2014/12/17,I did weight lifting on 2014/12/17.,I did weight lifting on 2014/12/17.\n16755,2014/12/17,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n16756,2014/12/17,I had pasta for lunch with Hazel,I had pasta for lunch with Hazel\n16757,2014/12/17,I ate chinese food for dinner.,I ate chinese food for dinner.\n16758,2014/12/17,\"I spent 40 talking to Eva, Piper, Kinsley on various topics in the early afternoon.\",\"I spent 40 talking to Eva, Piper, Kinsley on various topics in the early afternoon.\"\n16759,2014/12/17,\"I talked to Layla, Avery, Hazel for 46 minutes in the early evening.\",\"I talked to Layla, Avery, Hazel for 46 minutes in the early evening.\"\n16760,2014/12/17,\"I talked to Nora, Nevaeh, Olivia for 52 minutes in the early afternoon.\",\"I talked to Nora, Nevaeh, Olivia for 52 minutes in the early afternoon.\"\n16761,2014/12/17,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n16762,2014/12/17,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n16763,2014/12/18,I did biking on 2014/12/18.,I did biking on 2014/12/18.\n16764,2014/12/18,I had cereals for breakfast with Emily,I had cereals for breakfast with Emily\n16765,2014/12/18,\"I had lunch with Andrew, Emily, Carter. I ate fish and chips.\",\"I had lunch with Andrew, Emily, Carter. I ate fish and chips.\"\n16766,2014/12/18,I ate a burger for dinner.,I ate a burger for dinner.\n16767,2014/12/18,\"I spent 13 talking to Kinsley, Nora, Piper, Olivia on various topics in the early evening.\",\"I spent 13 talking to Kinsley, Nora, Piper, Olivia on various topics in the early evening.\"\n16768,2014/12/18,\"I spent 36 talking to Avery, Nevaeh, Lydia, Layla on various topics during lunch hours.\",\"I spent 36 talking to Avery, Nevaeh, Lydia, Layla on various topics during lunch hours.\"\n16769,2014/12/18,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n16770,2014/12/18,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n16771,2014/12/19,I did biking on 2014/12/19.,I did biking on 2014/12/19.\n16772,2014/12/19,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n16773,2014/12/19,\"I had indian food for lunch with Avery, Olivia, Hazel\",\"I had indian food for lunch with Avery, Olivia, Hazel\"\n16774,2014/12/19,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n16775,2014/12/19,\"I spent 8 talking to Hazel, Lydia, Avery, Claire on various topics in the early afternoon.\",\"I spent 8 talking to Hazel, Lydia, Avery, Claire on various topics in the early afternoon.\"\n16776,2014/12/19,\"I talked to Layla, Rylee for 29 minutes during lunch hours.\",\"I talked to Layla, Rylee for 29 minutes during lunch hours.\"\n16777,2014/12/19,\"I spent 21 talking to Claire, Piper, Eva, Olivia on various topics in the early afternoon.\",\"I spent 21 talking to Claire, Piper, Eva, Olivia on various topics in the early afternoon.\"\n16778,2014/12/19,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n16779,2014/12/19,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n16780,2014/12/20,\"On 2014/12/20, I took Benjamin on a date to a park\",\"On 2014/12/20, I took Benjamin on a date to a park\"\n16781,2014/12/20,I did hiking on 2014/12/20.,I did hiking on 2014/12/20.\n16782,2014/12/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n16783,2014/12/20,I prepare pasta for lunch.,I prepare pasta for lunch.\n16784,2014/12/20,I had dinner. I ate steak.,I had dinner. I ate steak.\n16785,2014/12/20,\"I spent 17 talking to Olivia, Piper, Layla on various topics in the late afternoon.\",\"I spent 17 talking to Olivia, Piper, Layla on various topics in the late afternoon.\"\n16786,2014/12/20,\"I talked to Avery, Piper, Nevaeh, Lydia for 30 minutes in the late afternoon.\",\"I talked to Avery, Piper, Nevaeh, Lydia for 30 minutes in the late afternoon.\"\n16787,2014/12/20,\"I talked to Nora, Nevaeh, Claire, Olivia for 42 minutes in the early afternoon.\",\"I talked to Nora, Nevaeh, Claire, Olivia for 42 minutes in the early afternoon.\"\n16788,2014/12/20,\"I spent 52 talking to Hazel, Nevaeh on various topics during lunch hours.\",\"I spent 52 talking to Hazel, Nevaeh on various topics during lunch hours.\"\n16789,2014/12/20,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n16790,2014/12/20,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n16791,2014/12/21,I did weight lifting on 2014/12/21.,I did weight lifting on 2014/12/21.\n16792,2014/12/21,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n16793,2014/12/21,I ate tacos for lunch.,I ate tacos for lunch.\n16794,2014/12/21,\"I had sandwich for dinner with Layla, Olivia, Kinsley, Nora, Claire, Eva, Rylee, Piper, Nevaeh, Avery, Piper, Hazel, Lydia\",\"I had sandwich for dinner with Layla, Olivia, Kinsley, Nora, Claire, Eva, Rylee, Piper, Nevaeh, Avery, Piper, Hazel, Lydia\"\n16795,2014/12/21,\"I talked to Olivia, Layla, Nora, Nevaeh for 5 minutes during lunch hours.\",\"I talked to Olivia, Layla, Nora, Nevaeh for 5 minutes during lunch hours.\"\n16796,2014/12/21,\"I spent 27 talking to Lydia, Kinsley, Hazel on various topics during lunch hours.\",\"I spent 27 talking to Lydia, Kinsley, Hazel on various topics during lunch hours.\"\n16797,2014/12/21,\"I spent 27 talking to Rylee, Kinsley, Claire on various topics in the early afternoon.\",\"I spent 27 talking to Rylee, Kinsley, Claire on various topics in the early afternoon.\"\n16798,2014/12/21,\"I talked to Claire, Kinsley, Hazel, Layla for 12 minutes late in the evening.\",\"I talked to Claire, Kinsley, Hazel, Layla for 12 minutes late in the evening.\"\n16799,2014/12/21,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n16800,2014/12/21,I spent 34 minutes watching a tv series on TV today.,I spent 34 minutes watching a tv series on TV today.\n16801,2014/12/22,\"I went grocery shopping. I bought some oranges, blueberries, apricots, nectarines, mango juice, chocolate milk, coffee, orange juice, and shampoo\",\"I went grocery shopping. I bought some oranges, blueberries, apricots, nectarines, mango juice, chocolate milk, coffee, orange juice, and shampoo\"\n16802,2014/12/22,I did swimming on 2014/12/22.,I did swimming on 2014/12/22.\n16803,2014/12/22,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n16804,2014/12/22,\"I had lunch with Carter, Andrew, Emily. I ate indian food.\",\"I had lunch with Carter, Andrew, Emily. I ate indian food.\"\n16805,2014/12/22,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n16806,2014/12/22,\"I spent 21 talking to Avery, Piper on various topics in the early evening.\",\"I spent 21 talking to Avery, Piper on various topics in the early evening.\"\n16807,2014/12/22,I talked to Olivia for 22 minutes in the early afternoon.,I talked to Olivia for 22 minutes in the early afternoon.\n16808,2014/12/22,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n16809,2014/12/22,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n16810,2014/12/23,I did swimming on 2014/12/23.,I did swimming on 2014/12/23.\n16811,2014/12/23,\"I had breakfast with Nevaeh, Piper, Olivia, Layla, Rylee, Kinsley, Eva, Claire. I ate peanut-butter-jam.\",\"I had breakfast with Nevaeh, Piper, Olivia, Layla, Rylee, Kinsley, Eva, Claire. I ate peanut-butter-jam.\"\n16812,2014/12/23,I ate pasta for lunch.,I ate pasta for lunch.\n16813,2014/12/23,I ate a burger for dinner.,I ate a burger for dinner.\n16814,2014/12/23,I spent 33 talking to Piper on various topics in the early evening.,I spent 33 talking to Piper on various topics in the early evening.\n16815,2014/12/23,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n16816,2014/12/23,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n16817,2014/12/24,I did weight lifting on 2014/12/24.,I did weight lifting on 2014/12/24.\n16818,2014/12/24,\"I had cereals for breakfast with Kayden, Carter, Andrew\",\"I had cereals for breakfast with Kayden, Carter, Andrew\"\n16819,2014/12/24,I ate sushi for lunch.,I ate sushi for lunch.\n16820,2014/12/24,I prepare steak for dinner.,I prepare steak for dinner.\n16821,2014/12/24,\"I talked to Kinsley, Hazel for 11 minutes in the morning.\",\"I talked to Kinsley, Hazel for 11 minutes in the morning.\"\n16822,2014/12/24,\"I talked to Olivia, Lydia for 26 minutes in the morning.\",\"I talked to Olivia, Lydia for 26 minutes in the morning.\"\n16823,2014/12/24,\"I talked to Nora, Hazel, Lydia, Piper for 28 minutes in the early evening.\",\"I talked to Nora, Hazel, Lydia, Piper for 28 minutes in the early evening.\"\n16824,2014/12/24,\"I spent 23 talking to Rylee, Layla, Kinsley on various topics in the early afternoon.\",\"I spent 23 talking to Rylee, Layla, Kinsley on various topics in the early afternoon.\"\n16825,2014/12/24,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n16826,2014/12/24,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n16827,2014/12/25,\"I really enjoyed cooking turkey shepherd’s pie, split pea soup with ham & jalapeno on 2014/12/25 with Carter, Andrew, Emily, Kayden at my place\",\"I really enjoyed cooking turkey shepherd’s pie, split pea soup with ham & jalapeno on 2014/12/25 with Carter, Andrew, Emily, Kayden at my place\"\n16828,2014/12/25,\"I went grocery shopping. I bought some guava, nectarines, mandarins, mineral water, pineapple juice, mango juice, orange juice, and toothbrush, shaving cream, paper towel, toilet paper\",\"I went grocery shopping. I bought some guava, nectarines, mandarins, mineral water, pineapple juice, mango juice, orange juice, and toothbrush, shaving cream, paper towel, toilet paper\"\n16829,2014/12/25,I did biking on 2014/12/25.,I did biking on 2014/12/25.\n16830,2014/12/25,\"I had toast and cheese for breakfast with Eva, Piper\",\"I had toast and cheese for breakfast with Eva, Piper\"\n16831,2014/12/25,\"I had lunch with Olivia, Claire, Layla, Piper, Nora, Eva, Kinsley, Hazel. I ate indian food.\",\"I had lunch with Olivia, Claire, Layla, Piper, Nora, Eva, Kinsley, Hazel. I ate indian food.\"\n16832,2014/12/25,I ate indian food for dinner.,I ate indian food for dinner.\n16833,2014/12/25,\"I talked to Layla, Kinsley, Hazel, Nevaeh for 39 minutes in the early afternoon.\",\"I talked to Layla, Kinsley, Hazel, Nevaeh for 39 minutes in the early afternoon.\"\n16834,2014/12/25,\"I talked to Claire, Hazel for 16 minutes in the early evening.\",\"I talked to Claire, Hazel for 16 minutes in the early evening.\"\n16835,2014/12/25,I talked to Layla for 40 minutes in the early evening.,I talked to Layla for 40 minutes in the early evening.\n16836,2014/12/25,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n16837,2014/12/25,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n16838,2014/12/26,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n16839,2014/12/26,I ate sandwich for lunch.,I ate sandwich for lunch.\n16840,2014/12/26,I prepare tacos for dinner.,I prepare tacos for dinner.\n16841,2014/12/26,I talked to Piper for 20 minutes in the early evening.,I talked to Piper for 20 minutes in the early evening.\n16842,2014/12/26,\"I talked to Lydia, Layla, Piper, Hazel for 20 minutes in the early afternoon.\",\"I talked to Lydia, Layla, Piper, Hazel for 20 minutes in the early afternoon.\"\n16843,2014/12/26,\"I talked to Layla, Nora, Olivia, Nevaeh for 39 minutes in the late afternoon.\",\"I talked to Layla, Nora, Olivia, Nevaeh for 39 minutes in the late afternoon.\"\n16844,2014/12/26,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n16845,2014/12/26,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n16846,2014/12/27,I did biking on 2014/12/27.,I did biking on 2014/12/27.\n16847,2014/12/27,\"I had breakfast with Andrew, Carter, Emily. I ate oatmeal.\",\"I had breakfast with Andrew, Carter, Emily. I ate oatmeal.\"\n16848,2014/12/27,\"I had lunch with Carter, Kayden, Emily, Andrew. I ate a burger.\",\"I had lunch with Carter, Kayden, Emily, Andrew. I ate a burger.\"\n16849,2014/12/27,\"I had pasta for dinner with Avery, Hazel, Eva, Nevaeh, Nora, Piper, Claire, Kinsley, Olivia\",\"I had pasta for dinner with Avery, Hazel, Eva, Nevaeh, Nora, Piper, Claire, Kinsley, Olivia\"\n16850,2014/12/27,\"I spent 13 talking to Nevaeh, Avery on various topics in the early afternoon.\",\"I spent 13 talking to Nevaeh, Avery on various topics in the early afternoon.\"\n16851,2014/12/27,\"I talked to Hazel, Avery, Layla for 23 minutes in the morning.\",\"I talked to Hazel, Avery, Layla for 23 minutes in the morning.\"\n16852,2014/12/27,I talked to Nevaeh for 27 minutes in the early afternoon.,I talked to Nevaeh for 27 minutes in the early afternoon.\n16853,2014/12/27,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n16854,2014/12/27,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n16855,2014/12/28,I did weight lifting on 2014/12/28.,I did weight lifting on 2014/12/28.\n16856,2014/12/28,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n16857,2014/12/28,\"I had lunch with Carter, Emily. I ate sushi.\",\"I had lunch with Carter, Emily. I ate sushi.\"\n16858,2014/12/28,I ate indian food for dinner.,I ate indian food for dinner.\n16859,2014/12/28,I spent 16 talking to Nevaeh on various topics during lunch hours.,I spent 16 talking to Nevaeh on various topics during lunch hours.\n16860,2014/12/28,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n16861,2014/12/28,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n16862,2014/12/29,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n16863,2014/12/29,I prepare a burger for lunch.,I prepare a burger for lunch.\n16864,2014/12/29,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n16865,2014/12/29,\"I spent 10 talking to Hazel, Kinsley, Lydia on various topics in the early afternoon.\",\"I spent 10 talking to Hazel, Kinsley, Lydia on various topics in the early afternoon.\"\n16866,2014/12/29,\"I talked to Claire, Hazel for 19 minutes late in the evening.\",\"I talked to Claire, Hazel for 19 minutes late in the evening.\"\n16867,2014/12/29,\"I talked to Nora, Claire for 16 minutes in the morning.\",\"I talked to Nora, Claire for 16 minutes in the morning.\"\n16868,2014/12/29,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n16869,2014/12/29,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n16870,2014/12/30,\"I bought some nectarines, bananas, apple juice, soda, paper towel, conditioner, shampoo, shaving cream from the grocery store. I saw Avery at the grocery store.\",\"I bought some nectarines, bananas, apple juice, soda, paper towel, conditioner, shampoo, shaving cream from the grocery store. I saw Avery at the grocery store.\"\n16871,2014/12/30,I did biking on 2014/12/30.,I did biking on 2014/12/30.\n16872,2014/12/30,\"I had breakfast with Andrew, Kayden. I ate pancakes.\",\"I had breakfast with Andrew, Kayden. I ate pancakes.\"\n16873,2014/12/30,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n16874,2014/12/30,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n16875,2014/12/30,\"I spent 10 talking to Kinsley, Rylee, Piper on various topics in the late afternoon.\",\"I spent 10 talking to Kinsley, Rylee, Piper on various topics in the late afternoon.\"\n16876,2014/12/30,I spent 31 talking to Kinsley on various topics during lunch hours.,I spent 31 talking to Kinsley on various topics during lunch hours.\n16877,2014/12/30,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n16878,2014/12/30,I watched a tv series for 49 minutes on TV today.,I watched a tv series for 49 minutes on TV today.\n16879,2014/12/31,\"I bought some strawberries, clementines, apples, tea, conditioner, paper towel, mouthwash from the grocery store. I saw Willow, Avery, Jackson, Benjamin at the grocery store.\",\"I bought some strawberries, clementines, apples, tea, conditioner, paper towel, mouthwash from the grocery store. I saw Willow, Avery, Jackson, Benjamin at the grocery store.\"\n16880,2014/12/31,I did weight lifting on 2014/12/31.,I did weight lifting on 2014/12/31.\n16881,2014/12/31,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n16882,2014/12/31,I ate sandwich for lunch.,I ate sandwich for lunch.\n16883,2014/12/31,\"I had dinner with Carter, Kayden, Emily, Andrew. I ate tacos.\",\"I had dinner with Carter, Kayden, Emily, Andrew. I ate tacos.\"\n16884,2014/12/31,\"I talked to Nevaeh, Nora, Claire for 49 minutes in the morning.\",\"I talked to Nevaeh, Nora, Claire for 49 minutes in the morning.\"\n16885,2014/12/31,I spent 50 talking to Rylee on various topics in the late afternoon.,I spent 50 talking to Rylee on various topics in the late afternoon.\n16886,2014/12/31,\"I spent 54 talking to Nora, Hazel on various topics in the early evening.\",\"I spent 54 talking to Nora, Hazel on various topics in the early evening.\"\n16887,2014/12/31,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n16888,2014/12/31,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n16889,2015/01/01,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n16890,2015/01/01,I did hiking on 2015/01/01.,I did hiking on 2015/01/01.\n16891,2015/01/01,\"I had breakfast with Piper, Rylee, Lydia, Olivia, Layla, Claire, Eva, Nora, Hazel, Kinsley, Avery, Nevaeh. I ate cereals.\",\"I had breakfast with Piper, Rylee, Lydia, Olivia, Layla, Claire, Eva, Nora, Hazel, Kinsley, Avery, Nevaeh. I ate cereals.\"\n16892,2015/01/01,I prepare pasta for lunch.,I prepare pasta for lunch.\n16893,2015/01/01,I prepare steak for dinner.,I prepare steak for dinner.\n16894,2015/01/01,I spent 22 talking to Eva on various topics in the early evening.,I spent 22 talking to Eva on various topics in the early evening.\n16895,2015/01/01,\"I spent 44 talking to Eva, Avery on various topics in the early afternoon.\",\"I spent 44 talking to Eva, Avery on various topics in the early afternoon.\"\n16896,2015/01/01,I talked to Piper for 44 minutes in the late afternoon.,I talked to Piper for 44 minutes in the late afternoon.\n16897,2015/01/01,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n16898,2015/01/02,\"On 2015/01/02, I took Skylar on a date to a restaurant\",\"On 2015/01/02, I took Skylar on a date to a restaurant\"\n16899,2015/01/02,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n16900,2015/01/02,\"I had sushi for lunch with Kayden, Emily, Carter\",\"I had sushi for lunch with Kayden, Emily, Carter\"\n16901,2015/01/02,I prepare sushi for dinner.,I prepare sushi for dinner.\n16902,2015/01/02,\"I talked to Piper, Eva, Claire for 47 minutes during lunch hours.\",\"I talked to Piper, Eva, Claire for 47 minutes during lunch hours.\"\n16903,2015/01/02,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n16904,2015/01/02,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n16905,2015/01/03,I did weight lifting on 2015/01/03.,I did weight lifting on 2015/01/03.\n16906,2015/01/03,\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate peanut-butter-jam.\"\n16907,2015/01/03,I had lunch. I ate steak.,I had lunch. I ate steak.\n16908,2015/01/03,I had dinner with Emily. I ate fish and chips.,I had dinner with Emily. I ate fish and chips.\n16909,2015/01/03,\"I spent 46 talking to Nevaeh, Nora, Claire on various topics late in the evening.\",\"I spent 46 talking to Nevaeh, Nora, Claire on various topics late in the evening.\"\n16910,2015/01/03,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n16911,2015/01/03,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n16912,2015/01/04,\"I went grocery shopping. I bought some apricots, mangos, guava, sports drinks, chocolate milk, and mouth wash, toothpaste, toothbrush\",\"I went grocery shopping. I bought some apricots, mangos, guava, sports drinks, chocolate milk, and mouth wash, toothpaste, toothbrush\"\n16913,2015/01/04,I did hiking on 2015/01/04.,I did hiking on 2015/01/04.\n16914,2015/01/04,\"I had eggs, sausages, and bread for breakfast with Benjamin, Avery\",\"I had eggs, sausages, and bread for breakfast with Benjamin, Avery\"\n16915,2015/01/04,I prepare tacos for lunch.,I prepare tacos for lunch.\n16916,2015/01/04,I ate pasta for dinner.,I ate pasta for dinner.\n16917,2015/01/04,\"I talked to Rylee, Piper for 45 minutes in the early afternoon.\",\"I talked to Rylee, Piper for 45 minutes in the early afternoon.\"\n16918,2015/01/04,\"I spent 37 talking to Nevaeh, Kinsley on various topics in the early afternoon.\",\"I spent 37 talking to Nevaeh, Kinsley on various topics in the early afternoon.\"\n16919,2015/01/04,I spent 47 talking to Avery on various topics in the late afternoon.,I spent 47 talking to Avery on various topics in the late afternoon.\n16920,2015/01/04,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n16921,2015/01/04,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n16922,2015/01/05,I went on a date with Jaxon on 2015/01/05 at a restaurant,I went on a date with Jaxon on 2015/01/05 at a restaurant\n16923,2015/01/05,I did HIIT on 2015/01/05.,I did HIIT on 2015/01/05.\n16924,2015/01/05,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n16925,2015/01/05,\"I had indian food for lunch with Emily, Andrew, Carter, Kayden\",\"I had indian food for lunch with Emily, Andrew, Carter, Kayden\"\n16926,2015/01/05,\"I had dinner with Emily, Carter, Kayden, Andrew. I ate sandwich.\",\"I had dinner with Emily, Carter, Kayden, Andrew. I ate sandwich.\"\n16927,2015/01/05,\"I talked to Piper, Kinsley, Nevaeh, Nora for 47 minutes late in the evening.\",\"I talked to Piper, Kinsley, Nevaeh, Nora for 47 minutes late in the evening.\"\n16928,2015/01/05,\"I spent 22 talking to Piper, Rylee on various topics during lunch hours.\",\"I spent 22 talking to Piper, Rylee on various topics during lunch hours.\"\n16929,2015/01/05,\"I spent 34 talking to Piper, Nora, Eva on various topics in the early evening.\",\"I spent 34 talking to Piper, Nora, Eva on various topics in the early evening.\"\n16930,2015/01/05,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n16931,2015/01/05,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n16932,2015/01/06,I did biking on 2015/01/06.,I did biking on 2015/01/06.\n16933,2015/01/06,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n16934,2015/01/06,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n16935,2015/01/06,\"I had dinner with Andrew, Emily, Kayden, Carter. I ate tacos.\",\"I had dinner with Andrew, Emily, Kayden, Carter. I ate tacos.\"\n16936,2015/01/06,\"I talked to Nora, Lydia, Piper for 38 minutes during lunch hours.\",\"I talked to Nora, Lydia, Piper for 38 minutes during lunch hours.\"\n16937,2015/01/06,\"I talked to Nora, Avery, Rylee for 22 minutes in the early evening.\",\"I talked to Nora, Avery, Rylee for 22 minutes in the early evening.\"\n16938,2015/01/06,\"I spent 10 talking to Piper, Olivia on various topics late in the evening.\",\"I spent 10 talking to Piper, Olivia on various topics late in the evening.\"\n16939,2015/01/06,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n16940,2015/01/06,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n16941,2015/01/07,I really enjoyed meditation on 2015/01/07,I really enjoyed meditation on 2015/01/07\n16942,2015/01/07,I did weight lifting on 2015/01/07.,I did weight lifting on 2015/01/07.\n16943,2015/01/07,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n16944,2015/01/07,I prepare a burger for lunch.,I prepare a burger for lunch.\n16945,2015/01/07,I ate sushi for dinner.,I ate sushi for dinner.\n16946,2015/01/07,I talked to Kinsley for 49 minutes in the late afternoon.,I talked to Kinsley for 49 minutes in the late afternoon.\n16947,2015/01/07,I talked to Rylee for 14 minutes in the late afternoon.,I talked to Rylee for 14 minutes in the late afternoon.\n16948,2015/01/07,\"I talked to Layla, Olivia for 45 minutes during lunch hours.\",\"I talked to Layla, Olivia for 45 minutes during lunch hours.\"\n16949,2015/01/07,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n16950,2015/01/07,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n16951,2015/01/08,I did swimming on 2015/01/08.,I did swimming on 2015/01/08.\n16952,2015/01/08,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n16953,2015/01/08,I ate tacos for lunch.,I ate tacos for lunch.\n16954,2015/01/08,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n16955,2015/01/08,\"I spent 39 talking to Piper, Lydia, Claire, Olivia on various topics in the early evening.\",\"I spent 39 talking to Piper, Lydia, Claire, Olivia on various topics in the early evening.\"\n16956,2015/01/08,I spent 11 talking to Piper on various topics in the early evening.,I spent 11 talking to Piper on various topics in the early evening.\n16957,2015/01/08,\"I talked to Layla, Claire, Avery for 37 minutes in the early evening.\",\"I talked to Layla, Claire, Avery for 37 minutes in the early evening.\"\n16958,2015/01/08,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n16959,2015/01/08,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n16960,2015/01/09,I did weight lifting on 2015/01/09.,I did weight lifting on 2015/01/09.\n16961,2015/01/09,\"I had breakfast with Carter, Emily. I ate cereals.\",\"I had breakfast with Carter, Emily. I ate cereals.\"\n16962,2015/01/09,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n16963,2015/01/09,I ate sandwich for dinner.,I ate sandwich for dinner.\n16964,2015/01/09,I talked to Claire for 42 minutes in the late afternoon.,I talked to Claire for 42 minutes in the late afternoon.\n16965,2015/01/09,\"I talked to Olivia, Avery, Layla, Hazel for 54 minutes during lunch hours.\",\"I talked to Olivia, Avery, Layla, Hazel for 54 minutes during lunch hours.\"\n16966,2015/01/09,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n16967,2015/01/09,I watched a documentary for 29 minutes on TV today.,I watched a documentary for 29 minutes on TV today.\n16968,2015/01/10,I did swimming on 2015/01/10.,I did swimming on 2015/01/10.\n16969,2015/01/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n16970,2015/01/10,I prepare a burger for lunch.,I prepare a burger for lunch.\n16971,2015/01/10,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n16972,2015/01/10,\"I talked to Nevaeh, Rylee, Nora for 47 minutes during lunch hours.\",\"I talked to Nevaeh, Rylee, Nora for 47 minutes during lunch hours.\"\n16973,2015/01/10,\"I talked to Layla, Claire, Nora for 5 minutes in the early afternoon.\",\"I talked to Layla, Claire, Nora for 5 minutes in the early afternoon.\"\n16974,2015/01/10,I talked to Eva for 38 minutes during lunch hours.,I talked to Eva for 38 minutes during lunch hours.\n16975,2015/01/10,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n16976,2015/01/10,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n16977,2015/01/11,\"On 2015/01/11, I took Jayden on a date to a boba shop\",\"On 2015/01/11, I took Jayden on a date to a boba shop\"\n16978,2015/01/11,I did running on 2015/01/11.,I did running on 2015/01/11.\n16979,2015/01/11,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n16980,2015/01/11,\"I had a burger for lunch with Avery, Benjamin, Willow, Jackson\",\"I had a burger for lunch with Avery, Benjamin, Willow, Jackson\"\n16981,2015/01/11,\"I had indian food for dinner with Benjamin, Willow, Avery, Jackson\",\"I had indian food for dinner with Benjamin, Willow, Avery, Jackson\"\n16982,2015/01/11,I talked to Piper for 44 minutes in the early afternoon.,I talked to Piper for 44 minutes in the early afternoon.\n16983,2015/01/11,\"I spent 13 talking to Avery, Claire on various topics in the early evening.\",\"I spent 13 talking to Avery, Claire on various topics in the early evening.\"\n16984,2015/01/11,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n16985,2015/01/11,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n16986,2015/01/12,I really enjoyed yoga on 2015/01/12,I really enjoyed yoga on 2015/01/12\n16987,2015/01/12,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n16988,2015/01/12,I ate pasta for lunch.,I ate pasta for lunch.\n16989,2015/01/12,\"I had dinner with Layla, Lydia, Olivia, Piper, Nora, Piper, Kinsley, Avery, Rylee, Nevaeh, Eva. I ate indian food.\",\"I had dinner with Layla, Lydia, Olivia, Piper, Nora, Piper, Kinsley, Avery, Rylee, Nevaeh, Eva. I ate indian food.\"\n16990,2015/01/12,\"I spent 41 talking to Rylee, Piper, Kinsley, Nevaeh on various topics late in the evening.\",\"I spent 41 talking to Rylee, Piper, Kinsley, Nevaeh on various topics late in the evening.\"\n16991,2015/01/12,\"I talked to Olivia, Hazel, Claire, Layla for 14 minutes in the morning.\",\"I talked to Olivia, Hazel, Claire, Layla for 14 minutes in the morning.\"\n16992,2015/01/12,\"I talked to Piper, Nora, Eva, Layla for 44 minutes in the early afternoon.\",\"I talked to Piper, Nora, Eva, Layla for 44 minutes in the early afternoon.\"\n16993,2015/01/12,\"I talked to Nevaeh, Piper, Eva for 40 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Eva for 40 minutes in the late afternoon.\"\n16994,2015/01/12,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n16995,2015/01/12,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n16996,2015/01/13,I did HIIT on 2015/01/13.,I did HIIT on 2015/01/13.\n16997,2015/01/13,I ate cereals for breakfast.,I ate cereals for breakfast.\n16998,2015/01/13,I prepare a burger for lunch.,I prepare a burger for lunch.\n16999,2015/01/13,\"I had dinner with Nevaeh, Piper, Hazel, Layla. I ate fish and chips.\",\"I had dinner with Nevaeh, Piper, Hazel, Layla. I ate fish and chips.\"\n17000,2015/01/13,\"I talked to Nevaeh, Olivia, Rylee, Piper for 13 minutes in the late afternoon.\",\"I talked to Nevaeh, Olivia, Rylee, Piper for 13 minutes in the late afternoon.\"\n17001,2015/01/13,I talked to Nevaeh for 31 minutes in the early evening.,I talked to Nevaeh for 31 minutes in the early evening.\n17002,2015/01/13,\"I spent 23 talking to Piper, Rylee, Claire on various topics late in the evening.\",\"I spent 23 talking to Piper, Rylee, Claire on various topics late in the evening.\"\n17003,2015/01/13,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n17004,2015/01/13,I spent 38 minutes watching a movie on TV today.,I spent 38 minutes watching a movie on TV today.\n17005,2015/01/14,\"I went grocery shopping with Layla, Olivia, Nora, Eva, Piper. I bought some pears, blackberries, cherres, mangos, mango juice, coffee, and mouthwash\",\"I went grocery shopping with Layla, Olivia, Nora, Eva, Piper. I bought some pears, blackberries, cherres, mangos, mango juice, coffee, and mouthwash\"\n17006,2015/01/14,I did swimming on 2015/01/14.,I did swimming on 2015/01/14.\n17007,2015/01/14,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n17008,2015/01/14,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n17009,2015/01/14,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n17010,2015/01/14,\"I spent 19 talking to Rylee, Olivia on various topics late in the evening.\",\"I spent 19 talking to Rylee, Olivia on various topics late in the evening.\"\n17011,2015/01/14,I talked to Olivia for 33 minutes in the morning.,I talked to Olivia for 33 minutes in the morning.\n17012,2015/01/14,\"I talked to Lydia, Piper, Layla, Avery for 37 minutes late in the evening.\",\"I talked to Lydia, Piper, Layla, Avery for 37 minutes late in the evening.\"\n17013,2015/01/14,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n17014,2015/01/14,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n17015,2015/01/15,\"On 2015/01/15 Andrew, Carter and I went to Rio, Brazil together for 11 days \",\"On 2015/01/15 Andrew, Carter and I went to Rio, Brazil together for 11 days \"\n17016,2015/01/15,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n17017,2015/01/15,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n17018,2015/01/15,\"I had chinese food for dinner with Carter, Kayden\",\"I had chinese food for dinner with Carter, Kayden\"\n17019,2015/01/15,\"I talked to Lydia, Rylee for 48 minutes in the early evening.\",\"I talked to Lydia, Rylee for 48 minutes in the early evening.\"\n17020,2015/01/15,\"I talked to Claire, Piper, Eva for 5 minutes late in the evening.\",\"I talked to Claire, Piper, Eva for 5 minutes late in the evening.\"\n17021,2015/01/15,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n17022,2015/01/15,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n17023,2015/01/16,\"During my trip to Rio, Brazil, I visited Ipanema on 2015/01 with Andrew, Carter.\",\"During my trip to Rio, Brazil, I visited Ipanema on 2015/01 with Andrew, Carter.\"\n17024,2015/01/16,\"I ate Italian food at Pão de queijo with Andrew, Carter on  2015/01/16 when I was in Rio, Brazil.\",\"I ate Italian food at Pão de queijo with Andrew, Carter on  2015/01/16 when I was in Rio, Brazil.\"\n17025,2015/01/16,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17026,2015/01/16,I ate sushi for lunch.,I ate sushi for lunch.\n17027,2015/01/16,\"I had dinner with Jackson, Avery, Benjamin. I ate pasta.\",\"I had dinner with Jackson, Avery, Benjamin. I ate pasta.\"\n17028,2015/01/16,\"I spent 27 talking to Avery, Rylee on various topics during lunch hours.\",\"I spent 27 talking to Avery, Rylee on various topics during lunch hours.\"\n17029,2015/01/16,\"I talked to Avery, Piper for 24 minutes in the late afternoon.\",\"I talked to Avery, Piper for 24 minutes in the late afternoon.\"\n17030,2015/01/16,\"I spent 44 talking to Rylee, Lydia, Olivia, Piper on various topics in the early afternoon.\",\"I spent 44 talking to Rylee, Lydia, Olivia, Piper on various topics in the early afternoon.\"\n17031,2015/01/16,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n17032,2015/01/16,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n17033,2015/01/17,\"During my trip to Rio, Brazil, I visited Copacabana on 2015/01 with Andrew, Carter.\",\"During my trip to Rio, Brazil, I visited Copacabana on 2015/01 with Andrew, Carter.\"\n17034,2015/01/17,\"I ate street food at Pão de queijo with Andrew, Carter on  2015/01/17 when I was in Rio, Brazil.\",\"I ate street food at Pão de queijo with Andrew, Carter on  2015/01/17 when I was in Rio, Brazil.\"\n17035,2015/01/17,\"I bought some nectarines, tea, paper towel, facial wash, conditioner, toilet paper from the grocery store. I saw Carter at the grocery store.\",\"I bought some nectarines, tea, paper towel, facial wash, conditioner, toilet paper from the grocery store. I saw Carter at the grocery store.\"\n17036,2015/01/17,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n17037,2015/01/17,\"I had pasta for lunch with Carter, Kayden\",\"I had pasta for lunch with Carter, Kayden\"\n17038,2015/01/17,\"I had steak for dinner with Emily, Andrew, Kayden\",\"I had steak for dinner with Emily, Andrew, Kayden\"\n17039,2015/01/17,I spent 33 talking to Eva on various topics in the early evening.,I spent 33 talking to Eva on various topics in the early evening.\n17040,2015/01/17,\"I talked to Piper, Rylee for 11 minutes in the morning.\",\"I talked to Piper, Rylee for 11 minutes in the morning.\"\n17041,2015/01/17,I spent 48 talking to Eva on various topics in the late afternoon.,I spent 48 talking to Eva on various topics in the late afternoon.\n17042,2015/01/17,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n17043,2015/01/17,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n17044,2015/01/18,\"During my trip to Rio, Brazil, I visited Sugarloaf on 2015/01 with Andrew, Carter.\",\"During my trip to Rio, Brazil, I visited Sugarloaf on 2015/01 with Andrew, Carter.\"\n17045,2015/01/18,\"I ate Italian food at Bolinho de bacalhau with Andrew, Carter on  2015/01/18 when I was in Rio, Brazil.\",\"I ate Italian food at Bolinho de bacalhau with Andrew, Carter on  2015/01/18 when I was in Rio, Brazil.\"\n17046,2015/01/18,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17047,2015/01/18,I had lunch with Rylee. I ate pasta.,I had lunch with Rylee. I ate pasta.\n17048,2015/01/18,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n17049,2015/01/18,\"I spent 23 talking to Avery, Claire, Kinsley on various topics in the morning.\",\"I spent 23 talking to Avery, Claire, Kinsley on various topics in the morning.\"\n17050,2015/01/18,\"I spent 12 talking to Nora, Kinsley on various topics during lunch hours.\",\"I spent 12 talking to Nora, Kinsley on various topics during lunch hours.\"\n17051,2015/01/18,\"I spent 31 talking to Olivia, Rylee on various topics in the early evening.\",\"I spent 31 talking to Olivia, Rylee on various topics in the early evening.\"\n17052,2015/01/18,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n17053,2015/01/18,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n17054,2015/01/19,\"During my trip to Rio, Brazil, I visited Cristo Redentor on 2015/01 with Andrew, Carter.\",\"During my trip to Rio, Brazil, I visited Cristo Redentor on 2015/01 with Andrew, Carter.\"\n17055,2015/01/19,\"I ate street food at Tapioca with Andrew, Carter on  2015/01/19 when I was in Rio, Brazil.\",\"I ate street food at Tapioca with Andrew, Carter on  2015/01/19 when I was in Rio, Brazil.\"\n17056,2015/01/19,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n17057,2015/01/19,\"I had lunch with Andrew, Emily. I ate fish and chips.\",\"I had lunch with Andrew, Emily. I ate fish and chips.\"\n17058,2015/01/19,I had dinner with Willow. I ate pasta.,I had dinner with Willow. I ate pasta.\n17059,2015/01/19,\"I talked to Rylee, Nevaeh for 50 minutes during lunch hours.\",\"I talked to Rylee, Nevaeh for 50 minutes during lunch hours.\"\n17060,2015/01/19,\"I spent 45 talking to Piper, Piper on various topics late in the evening.\",\"I spent 45 talking to Piper, Piper on various topics late in the evening.\"\n17061,2015/01/19,\"I talked to Eva, Avery for 17 minutes in the morning.\",\"I talked to Eva, Avery for 17 minutes in the morning.\"\n17062,2015/01/19,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n17063,2015/01/19,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n17064,2015/01/20,\"During my trip to Rio, Brazil, I visited Carnaval on 2015/01 with Andrew, Carter.\",\"During my trip to Rio, Brazil, I visited Carnaval on 2015/01 with Andrew, Carter.\"\n17065,2015/01/20,\"I ate Italian food at Bolinho de bacalhau with Andrew, Carter on  2015/01/20 when I was in Rio, Brazil.\",\"I ate Italian food at Bolinho de bacalhau with Andrew, Carter on  2015/01/20 when I was in Rio, Brazil.\"\n17066,2015/01/20,\"I had pancakes for breakfast with Emily, Kayden, Andrew\",\"I had pancakes for breakfast with Emily, Kayden, Andrew\"\n17067,2015/01/20,I prepare steak for lunch.,I prepare steak for lunch.\n17068,2015/01/20,I ate tacos for dinner.,I ate tacos for dinner.\n17069,2015/01/20,\"I spent 48 talking to Nora, Olivia, Nevaeh on various topics in the morning.\",\"I spent 48 talking to Nora, Olivia, Nevaeh on various topics in the morning.\"\n17070,2015/01/20,\"I spent 18 talking to Kinsley, Piper on various topics late in the evening.\",\"I spent 18 talking to Kinsley, Piper on various topics late in the evening.\"\n17071,2015/01/20,\"I talked to Nora, Kinsley, Rylee for 28 minutes in the early evening.\",\"I talked to Nora, Kinsley, Rylee for 28 minutes in the early evening.\"\n17072,2015/01/20,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n17073,2015/01/20,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n17074,2015/01/21,\"I ate Italian food at Pão de queijo with Andrew, Carter on  2015/01/21 when I was in Rio, Brazil.\",\"I ate Italian food at Pão de queijo with Andrew, Carter on  2015/01/21 when I was in Rio, Brazil.\"\n17075,2015/01/21,\"I went grocery shopping. I bought some cherres, bananas, tea, soda, coffee, pineapple juice, and facial wash, shaving cream, paper towel\",\"I went grocery shopping. I bought some cherres, bananas, tea, soda, coffee, pineapple juice, and facial wash, shaving cream, paper towel\"\n17076,2015/01/21,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17077,2015/01/21,\"I had lunch with Andrew, Kayden, Carter. I ate a burger.\",\"I had lunch with Andrew, Kayden, Carter. I ate a burger.\"\n17078,2015/01/21,I had sushi for dinner with Andrew,I had sushi for dinner with Andrew\n17079,2015/01/21,\"I talked to Kinsley, Hazel, Lydia, Nevaeh for 55 minutes during lunch hours.\",\"I talked to Kinsley, Hazel, Lydia, Nevaeh for 55 minutes during lunch hours.\"\n17080,2015/01/21,\"I spent 45 talking to Layla, Nora on various topics in the late afternoon.\",\"I spent 45 talking to Layla, Nora on various topics in the late afternoon.\"\n17081,2015/01/21,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n17082,2015/01/21,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n17083,2015/01/22,\"I ate street food at Pão de queijo with Andrew, Carter on  2015/01/22 when I was in Rio, Brazil.\",\"I ate street food at Pão de queijo with Andrew, Carter on  2015/01/22 when I was in Rio, Brazil.\"\n17084,2015/01/22,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n17085,2015/01/22,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n17086,2015/01/22,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n17087,2015/01/22,\"I talked to Avery, Rylee, Hazel, Nevaeh for 18 minutes in the early afternoon.\",\"I talked to Avery, Rylee, Hazel, Nevaeh for 18 minutes in the early afternoon.\"\n17088,2015/01/22,\"I spent 9 talking to Lydia, Claire on various topics in the late afternoon.\",\"I spent 9 talking to Lydia, Claire on various topics in the late afternoon.\"\n17089,2015/01/22,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n17090,2015/01/22,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n17091,2015/01/23,I did weight lifting on 2015/01/23.,I did weight lifting on 2015/01/23.\n17092,2015/01/23,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n17093,2015/01/23,I prepare indian food for lunch.,I prepare indian food for lunch.\n17094,2015/01/23,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n17095,2015/01/23,I spent 14 talking to Olivia on various topics in the early evening.,I spent 14 talking to Olivia on various topics in the early evening.\n17096,2015/01/23,I spent 5 talking to Eva on various topics during lunch hours.,I spent 5 talking to Eva on various topics during lunch hours.\n17097,2015/01/23,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n17098,2015/01/23,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n17099,2015/01/24,\"I ate local food at Tapioca with Andrew, Carter on  2015/01/24 when I was in Rio, Brazil.\",\"I ate local food at Tapioca with Andrew, Carter on  2015/01/24 when I was in Rio, Brazil.\"\n17100,2015/01/24,\"I went grocery shopping. I bought some clementines, watermelons, peaches, tea, soda, orange juice, coffee, and mouthwash, conditioner, toothbrush\",\"I went grocery shopping. I bought some clementines, watermelons, peaches, tea, soda, orange juice, coffee, and mouthwash, conditioner, toothbrush\"\n17101,2015/01/24,I had oatmeal for breakfast with Emily,I had oatmeal for breakfast with Emily\n17102,2015/01/24,I prepare sushi for lunch.,I prepare sushi for lunch.\n17103,2015/01/24,I prepare steak for dinner.,I prepare steak for dinner.\n17104,2015/01/24,\"I spent 25 talking to Avery, Hazel on various topics late in the evening.\",\"I spent 25 talking to Avery, Hazel on various topics late in the evening.\"\n17105,2015/01/24,\"I talked to Avery, Olivia for 54 minutes late in the evening.\",\"I talked to Avery, Olivia for 54 minutes late in the evening.\"\n17106,2015/01/24,I talked to Olivia for 52 minutes in the early afternoon.,I talked to Olivia for 52 minutes in the early afternoon.\n17107,2015/01/24,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n17108,2015/01/24,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n17109,2015/01/25,\"I ate Italian food at Tapioca with Andrew, Carter on  2015/01/25 when I was in Rio, Brazil.\",\"I ate Italian food at Tapioca with Andrew, Carter on  2015/01/25 when I was in Rio, Brazil.\"\n17110,2015/01/25,\"I bought some mangos, watermelons, apples, guava, soda, coffee, guava juice, paper towel from the grocery store. I saw Andrew, Emily, Kayden, Carter at the grocery store.\",\"I bought some mangos, watermelons, apples, guava, soda, coffee, guava juice, paper towel from the grocery store. I saw Andrew, Emily, Kayden, Carter at the grocery store.\"\n17111,2015/01/25,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n17112,2015/01/25,\"I had indian food for lunch with Hazel, Piper, Layla, Nevaeh, Lydia, Olivia, Nora, Kinsley, Claire, Rylee, Avery, Piper, Eva\",\"I had indian food for lunch with Hazel, Piper, Layla, Nevaeh, Lydia, Olivia, Nora, Kinsley, Claire, Rylee, Avery, Piper, Eva\"\n17113,2015/01/25,I ate steak for dinner.,I ate steak for dinner.\n17114,2015/01/25,\"I spent 50 talking to Lydia, Avery on various topics in the late afternoon.\",\"I spent 50 talking to Lydia, Avery on various topics in the late afternoon.\"\n17115,2015/01/25,\"I spent 38 talking to Piper, Rylee, Kinsley, Piper on various topics in the early afternoon.\",\"I spent 38 talking to Piper, Rylee, Kinsley, Piper on various topics in the early afternoon.\"\n17116,2015/01/25,\"I spent 44 talking to Claire, Nevaeh on various topics in the late afternoon.\",\"I spent 44 talking to Claire, Nevaeh on various topics in the late afternoon.\"\n17117,2015/01/25,\"I spent 50 talking to Rylee, Piper, Nora on various topics in the early afternoon.\",\"I spent 50 talking to Rylee, Piper, Nora on various topics in the early afternoon.\"\n17118,2015/01/25,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n17119,2015/01/25,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n17120,2015/01/26,\"I ate Indian food at Pão de queijo with Andrew, Carter on  2015/01/26 when I was in Rio, Brazil.\",\"I ate Indian food at Pão de queijo with Andrew, Carter on  2015/01/26 when I was in Rio, Brazil.\"\n17121,2015/01/26,\"I had breakfast with Kayden, Emily, Carter. I ate pancakes.\",\"I had breakfast with Kayden, Emily, Carter. I ate pancakes.\"\n17122,2015/01/26,I ate indian food for lunch.,I ate indian food for lunch.\n17123,2015/01/26,\"I had dinner with Rylee, Avery, Piper, Eva, Piper, Nora. I ate sushi.\",\"I had dinner with Rylee, Avery, Piper, Eva, Piper, Nora. I ate sushi.\"\n17124,2015/01/26,\"I spent 6 talking to Claire, Rylee, Eva on various topics in the early afternoon.\",\"I spent 6 talking to Claire, Rylee, Eva on various topics in the early afternoon.\"\n17125,2015/01/26,\"I spent 15 talking to Avery, Nevaeh on various topics in the late afternoon.\",\"I spent 15 talking to Avery, Nevaeh on various topics in the late afternoon.\"\n17126,2015/01/26,\"I talked to Kinsley, Avery, Piper, Nora for 48 minutes in the early afternoon.\",\"I talked to Kinsley, Avery, Piper, Nora for 48 minutes in the early afternoon.\"\n17127,2015/01/26,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n17128,2015/01/26,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n17129,2015/01/27,I did hiking on 2015/01/27.,I did hiking on 2015/01/27.\n17130,2015/01/27,\"I had breakfast with Olivia, Claire, Kinsley, Rylee, Layla, Eva, Nevaeh, Piper, Avery, Hazel. I ate pancakes.\",\"I had breakfast with Olivia, Claire, Kinsley, Rylee, Layla, Eva, Nevaeh, Piper, Avery, Hazel. I ate pancakes.\"\n17131,2015/01/27,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n17132,2015/01/27,I ate steak for dinner.,I ate steak for dinner.\n17133,2015/01/27,\"I spent 52 talking to Nevaeh, Piper, Olivia, Claire on various topics late in the evening.\",\"I spent 52 talking to Nevaeh, Piper, Olivia, Claire on various topics late in the evening.\"\n17134,2015/01/27,I spent 49 talking to Piper on various topics late in the evening.,I spent 49 talking to Piper on various topics late in the evening.\n17135,2015/01/27,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n17136,2015/01/27,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n17137,2015/01/28,I did HIIT on 2015/01/28.,I did HIIT on 2015/01/28.\n17138,2015/01/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17139,2015/01/28,\"I had lunch with Hazel, Rylee, Layla, Kinsley, Nevaeh, Piper, Lydia, Avery, Piper. I ate sushi.\",\"I had lunch with Hazel, Rylee, Layla, Kinsley, Nevaeh, Piper, Lydia, Avery, Piper. I ate sushi.\"\n17140,2015/01/28,\"I had chinese food for dinner with Kayden, Andrew, Emily, Carter\",\"I had chinese food for dinner with Kayden, Andrew, Emily, Carter\"\n17141,2015/01/28,I talked to Nora for 7 minutes in the morning.,I talked to Nora for 7 minutes in the morning.\n17142,2015/01/28,\"I talked to Layla, Nevaeh, Hazel, Olivia for 36 minutes in the early evening.\",\"I talked to Layla, Nevaeh, Hazel, Olivia for 36 minutes in the early evening.\"\n17143,2015/01/28,\"I talked to Lydia, Claire, Eva, Nora for 38 minutes in the early afternoon.\",\"I talked to Lydia, Claire, Eva, Nora for 38 minutes in the early afternoon.\"\n17144,2015/01/28,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n17145,2015/01/28,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n17146,2015/01/29,I did swimming on 2015/01/29.,I did swimming on 2015/01/29.\n17147,2015/01/29,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n17148,2015/01/29,I ate chinese food for lunch.,I ate chinese food for lunch.\n17149,2015/01/29,I prepare pasta for dinner.,I prepare pasta for dinner.\n17150,2015/01/29,\"I spent 13 talking to Piper, Claire, Eva, Rylee on various topics in the early afternoon.\",\"I spent 13 talking to Piper, Claire, Eva, Rylee on various topics in the early afternoon.\"\n17151,2015/01/29,\"I spent 8 talking to Olivia, Eva, Hazel on various topics during lunch hours.\",\"I spent 8 talking to Olivia, Eva, Hazel on various topics during lunch hours.\"\n17152,2015/01/29,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n17153,2015/01/29,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n17154,2015/01/30,I did weight lifting on 2015/01/30.,I did weight lifting on 2015/01/30.\n17155,2015/01/30,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n17156,2015/01/30,I ate pasta for lunch.,I ate pasta for lunch.\n17157,2015/01/30,I had dinner with Andrew. I ate fish and chips.,I had dinner with Andrew. I ate fish and chips.\n17158,2015/01/30,I talked to Rylee for 54 minutes in the morning.,I talked to Rylee for 54 minutes in the morning.\n17159,2015/01/30,\"I talked to Piper, Nora, Olivia, Nevaeh for 25 minutes in the late afternoon.\",\"I talked to Piper, Nora, Olivia, Nevaeh for 25 minutes in the late afternoon.\"\n17160,2015/01/30,I spent 22 talking to Kinsley on various topics during lunch hours.,I spent 22 talking to Kinsley on various topics during lunch hours.\n17161,2015/01/30,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n17162,2015/01/30,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n17163,2015/01/31,\"I bought some strawberries, mangos, nectarines, soda, shaving cream, paper towel from the grocery store. I saw Lydia, Nevaeh, Kinsley, Olivia, Rylee, Eva at the grocery store.\",\"I bought some strawberries, mangos, nectarines, soda, shaving cream, paper towel from the grocery store. I saw Lydia, Nevaeh, Kinsley, Olivia, Rylee, Eva at the grocery store.\"\n17164,2015/01/31,I did weight lifting on 2015/01/31.,I did weight lifting on 2015/01/31.\n17165,2015/01/31,I ate cereals for breakfast.,I ate cereals for breakfast.\n17166,2015/01/31,\"I had lunch with Willow, Avery. I ate tacos.\",\"I had lunch with Willow, Avery. I ate tacos.\"\n17167,2015/01/31,I ate steak for dinner.,I ate steak for dinner.\n17168,2015/01/31,I spent 23 talking to Olivia on various topics in the early afternoon.,I spent 23 talking to Olivia on various topics in the early afternoon.\n17169,2015/01/31,\"I spent 16 talking to Rylee, Hazel, Piper, Nora on various topics in the morning.\",\"I spent 16 talking to Rylee, Hazel, Piper, Nora on various topics in the morning.\"\n17170,2015/01/31,I spent 19 talking to Kinsley on various topics in the early evening.,I spent 19 talking to Kinsley on various topics in the early evening.\n17171,2015/01/31,\"I talked to Claire, Piper, Layla, Hazel for 26 minutes in the morning.\",\"I talked to Claire, Piper, Layla, Hazel for 26 minutes in the morning.\"\n17172,2015/01/31,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n17173,2015/01/31,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n17174,2015/02/01,I did hiking on 2015/02/01.,I did hiking on 2015/02/01.\n17175,2015/02/01,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n17176,2015/02/01,\"I had lunch with Andrew, Emily, Carter, Kayden. I ate fish and chips.\",\"I had lunch with Andrew, Emily, Carter, Kayden. I ate fish and chips.\"\n17177,2015/02/01,\"I had pasta for dinner with Kinsley, Lydia, Rylee, Piper, Hazel, Eva, Nevaeh, Layla, Claire, Olivia\",\"I had pasta for dinner with Kinsley, Lydia, Rylee, Piper, Hazel, Eva, Nevaeh, Layla, Claire, Olivia\"\n17178,2015/02/01,I talked to Piper for 30 minutes in the early evening.,I talked to Piper for 30 minutes in the early evening.\n17179,2015/02/01,\"I talked to Rylee, Olivia for 26 minutes in the early afternoon.\",\"I talked to Rylee, Olivia for 26 minutes in the early afternoon.\"\n17180,2015/02/01,\"I talked to Hazel, Eva for 44 minutes in the morning.\",\"I talked to Hazel, Eva for 44 minutes in the morning.\"\n17181,2015/02/01,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n17182,2015/02/01,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n17183,2015/02/02,\"On 2015/02/02, I took Serenity on a date to a coffee Shop\",\"On 2015/02/02, I took Serenity on a date to a coffee Shop\"\n17184,2015/02/02,I did HIIT on 2015/02/02.,I did HIIT on 2015/02/02.\n17185,2015/02/02,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n17186,2015/02/02,I prepare a burger for lunch.,I prepare a burger for lunch.\n17187,2015/02/02,I ate tacos for dinner.,I ate tacos for dinner.\n17188,2015/02/02,\"I spent 45 talking to Piper, Eva, Layla, Lydia on various topics during lunch hours.\",\"I spent 45 talking to Piper, Eva, Layla, Lydia on various topics during lunch hours.\"\n17189,2015/02/02,\"I talked to Claire, Avery, Piper for 13 minutes in the early afternoon.\",\"I talked to Claire, Avery, Piper for 13 minutes in the early afternoon.\"\n17190,2015/02/02,\"I talked to Lydia, Avery, Kinsley for 39 minutes during lunch hours.\",\"I talked to Lydia, Avery, Kinsley for 39 minutes during lunch hours.\"\n17191,2015/02/02,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n17192,2015/02/02,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n17193,2015/02/03,\"I went grocery shopping. I bought some clementines, apricots, oranges, blackberries, mineral water, pineapple juice, mango juice, and paper towel, shampoo, toothpaste, mouth wash\",\"I went grocery shopping. I bought some clementines, apricots, oranges, blackberries, mineral water, pineapple juice, mango juice, and paper towel, shampoo, toothpaste, mouth wash\"\n17194,2015/02/03,I did hiking on 2015/02/03.,I did hiking on 2015/02/03.\n17195,2015/02/03,\"I had breakfast with Emily, Kayden, Carter. I ate oatmeal.\",\"I had breakfast with Emily, Kayden, Carter. I ate oatmeal.\"\n17196,2015/02/03,I ate indian food for lunch.,I ate indian food for lunch.\n17197,2015/02/03,\"I had dinner with Carter, Andrew, Emily, Kayden. I ate chinese food.\",\"I had dinner with Carter, Andrew, Emily, Kayden. I ate chinese food.\"\n17198,2015/02/03,\"I talked to Eva, Olivia, Hazel, Layla for 37 minutes during lunch hours.\",\"I talked to Eva, Olivia, Hazel, Layla for 37 minutes during lunch hours.\"\n17199,2015/02/03,I spent 22 talking to Kinsley on various topics in the late afternoon.,I spent 22 talking to Kinsley on various topics in the late afternoon.\n17200,2015/02/03,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n17201,2015/02/03,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n17202,2015/02/04,\"I had pancakes for breakfast with Avery, Benjamin, Jackson\",\"I had pancakes for breakfast with Avery, Benjamin, Jackson\"\n17203,2015/02/04,\"I had lunch with Emily, Carter, Kayden. I ate pasta.\",\"I had lunch with Emily, Carter, Kayden. I ate pasta.\"\n17204,2015/02/04,\"I had tacos for dinner with Hazel, Nevaeh, Piper, Piper\",\"I had tacos for dinner with Hazel, Nevaeh, Piper, Piper\"\n17205,2015/02/04,\"I talked to Olivia, Lydia, Rylee, Avery for 23 minutes in the late afternoon.\",\"I talked to Olivia, Lydia, Rylee, Avery for 23 minutes in the late afternoon.\"\n17206,2015/02/04,\"I spent 9 talking to Olivia, Layla, Kinsley on various topics late in the evening.\",\"I spent 9 talking to Olivia, Layla, Kinsley on various topics late in the evening.\"\n17207,2015/02/04,\"I talked to Olivia, Piper for 43 minutes in the late afternoon.\",\"I talked to Olivia, Piper for 43 minutes in the late afternoon.\"\n17208,2015/02/04,\"I spent 26 talking to Lydia, Hazel, Avery, Nevaeh on various topics in the early afternoon.\",\"I spent 26 talking to Lydia, Hazel, Avery, Nevaeh on various topics in the early afternoon.\"\n17209,2015/02/04,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n17210,2015/02/04,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n17211,2015/02/05,\"I bought some nectarines, pineapples, apples, pears, mineral water, guava juice, tea, orange juice, mouthwash from the grocery store. I saw Andrew, Kayden, Emily at the grocery store.\",\"I bought some nectarines, pineapples, apples, pears, mineral water, guava juice, tea, orange juice, mouthwash from the grocery store. I saw Andrew, Kayden, Emily at the grocery store.\"\n17212,2015/02/05,I did HIIT on 2015/02/05.,I did HIIT on 2015/02/05.\n17213,2015/02/05,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n17214,2015/02/05,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n17215,2015/02/05,\"I had fish and chips for dinner with Olivia, Eva, Nora, Layla, Piper, Piper, Claire, Nevaeh, Hazel\",\"I had fish and chips for dinner with Olivia, Eva, Nora, Layla, Piper, Piper, Claire, Nevaeh, Hazel\"\n17216,2015/02/05,\"I spent 10 talking to Rylee, Nevaeh on various topics during lunch hours.\",\"I spent 10 talking to Rylee, Nevaeh on various topics during lunch hours.\"\n17217,2015/02/05,\"I talked to Kinsley, Eva, Olivia for 17 minutes in the early evening.\",\"I talked to Kinsley, Eva, Olivia for 17 minutes in the early evening.\"\n17218,2015/02/05,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n17219,2015/02/05,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n17220,2015/02/06,I did hiking on 2015/02/06.,I did hiking on 2015/02/06.\n17221,2015/02/06,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n17222,2015/02/06,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n17223,2015/02/06,\"I had sandwich for dinner with Andrew, Kayden, Emily\",\"I had sandwich for dinner with Andrew, Kayden, Emily\"\n17224,2015/02/06,\"I talked to Lydia, Hazel, Nevaeh, Piper for 35 minutes in the morning.\",\"I talked to Lydia, Hazel, Nevaeh, Piper for 35 minutes in the morning.\"\n17225,2015/02/06,I spent 48 talking to Piper on various topics late in the evening.,I spent 48 talking to Piper on various topics late in the evening.\n17226,2015/02/06,\"I talked to Olivia, Eva, Piper for 54 minutes in the late afternoon.\",\"I talked to Olivia, Eva, Piper for 54 minutes in the late afternoon.\"\n17227,2015/02/06,\"I talked to Piper, Olivia for 17 minutes during lunch hours.\",\"I talked to Piper, Olivia for 17 minutes during lunch hours.\"\n17228,2015/02/06,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n17229,2015/02/06,I watched a movie for 12 minutes on TV today.,I watched a movie for 12 minutes on TV today.\n17230,2015/02/07,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n17231,2015/02/07,I ate indian food for lunch.,I ate indian food for lunch.\n17232,2015/02/07,I prepare indian food for dinner.,I prepare indian food for dinner.\n17233,2015/02/07,\"I talked to Hazel, Piper for 36 minutes in the early afternoon.\",\"I talked to Hazel, Piper for 36 minutes in the early afternoon.\"\n17234,2015/02/07,I talked to Layla for 9 minutes in the late afternoon.,I talked to Layla for 9 minutes in the late afternoon.\n17235,2015/02/07,\"I spent 15 talking to Hazel, Kinsley, Eva on various topics during lunch hours.\",\"I spent 15 talking to Hazel, Kinsley, Eva on various topics during lunch hours.\"\n17236,2015/02/07,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n17237,2015/02/07,I spent 15 minutes watching a documentary on TV today.,I spent 15 minutes watching a documentary on TV today.\n17238,2015/02/08,I spent some time gardening on 2015/02/08.,I spent some time gardening on 2015/02/08.\n17239,2015/02/08,\"I went grocery shopping. I bought some cherres, raspberries, chocolate milk, and shampoo, body lotion, facial wash\",\"I went grocery shopping. I bought some cherres, raspberries, chocolate milk, and shampoo, body lotion, facial wash\"\n17240,2015/02/08,I did swimming on 2015/02/08.,I did swimming on 2015/02/08.\n17241,2015/02/08,\"I had eggs, sausages, and bread for breakfast with Piper, Nevaeh, Olivia, Hazel, Rylee, Claire\",\"I had eggs, sausages, and bread for breakfast with Piper, Nevaeh, Olivia, Hazel, Rylee, Claire\"\n17242,2015/02/08,\"I had lunch with Andrew, Emily, Kayden, Carter. I ate pasta.\",\"I had lunch with Andrew, Emily, Kayden, Carter. I ate pasta.\"\n17243,2015/02/08,I prepare sushi for dinner.,I prepare sushi for dinner.\n17244,2015/02/08,I talked to Eva for 19 minutes in the early afternoon.,I talked to Eva for 19 minutes in the early afternoon.\n17245,2015/02/08,\"I talked to Piper, Lydia, Piper, Olivia for 16 minutes late in the evening.\",\"I talked to Piper, Lydia, Piper, Olivia for 16 minutes late in the evening.\"\n17246,2015/02/08,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n17247,2015/02/08,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n17248,2015/02/09,\"On 2015/02/09, I took Charlotte on a date to a restaurant\",\"On 2015/02/09, I took Charlotte on a date to a restaurant\"\n17249,2015/02/09,I did swimming on 2015/02/09.,I did swimming on 2015/02/09.\n17250,2015/02/09,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n17251,2015/02/09,I ate sushi for lunch.,I ate sushi for lunch.\n17252,2015/02/09,\"I had dinner with Andrew, Emily, Kayden, Carter. I ate indian food.\",\"I had dinner with Andrew, Emily, Kayden, Carter. I ate indian food.\"\n17253,2015/02/09,\"I spent 21 talking to Nora, Rylee, Avery, Piper on various topics in the morning.\",\"I spent 21 talking to Nora, Rylee, Avery, Piper on various topics in the morning.\"\n17254,2015/02/09,I spent 23 talking to Avery on various topics late in the evening.,I spent 23 talking to Avery on various topics late in the evening.\n17255,2015/02/09,I talked to Rylee for 23 minutes during lunch hours.,I talked to Rylee for 23 minutes during lunch hours.\n17256,2015/02/09,I spent 12 talking to Olivia on various topics in the early afternoon.,I spent 12 talking to Olivia on various topics in the early afternoon.\n17257,2015/02/09,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n17258,2015/02/09,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n17259,2015/02/10,I did running on 2015/02/10.,I did running on 2015/02/10.\n17260,2015/02/10,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17261,2015/02/10,I ate chinese food for lunch.,I ate chinese food for lunch.\n17262,2015/02/10,\"I had dinner with Hazel, Piper, Nora, Rylee, Olivia. I ate pasta.\",\"I had dinner with Hazel, Piper, Nora, Rylee, Olivia. I ate pasta.\"\n17263,2015/02/10,\"I spent 5 talking to Layla, Claire, Nevaeh on various topics in the early afternoon.\",\"I spent 5 talking to Layla, Claire, Nevaeh on various topics in the early afternoon.\"\n17264,2015/02/10,\"I spent 38 talking to Kinsley, Lydia on various topics in the morning.\",\"I spent 38 talking to Kinsley, Lydia on various topics in the morning.\"\n17265,2015/02/10,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n17266,2015/02/10,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n17267,2015/02/11,I did biking on 2015/02/11.,I did biking on 2015/02/11.\n17268,2015/02/11,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n17269,2015/02/11,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n17270,2015/02/11,\"I had fish and chips for dinner with Olivia, Rylee\",\"I had fish and chips for dinner with Olivia, Rylee\"\n17271,2015/02/11,\"I talked to Piper, Kinsley for 49 minutes in the late afternoon.\",\"I talked to Piper, Kinsley for 49 minutes in the late afternoon.\"\n17272,2015/02/11,\"I spent 7 talking to Layla, Nevaeh on various topics in the morning.\",\"I spent 7 talking to Layla, Nevaeh on various topics in the morning.\"\n17273,2015/02/11,\"I spent 33 talking to Piper, Nevaeh, Lydia on various topics in the early afternoon.\",\"I spent 33 talking to Piper, Nevaeh, Lydia on various topics in the early afternoon.\"\n17274,2015/02/11,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n17275,2015/02/11,I watched a documentary for 48 minutes on TV today.,I watched a documentary for 48 minutes on TV today.\n17276,2015/02/12,I did HIIT on 2015/02/12.,I did HIIT on 2015/02/12.\n17277,2015/02/12,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n17278,2015/02/12,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n17279,2015/02/12,I ate tacos for dinner.,I ate tacos for dinner.\n17280,2015/02/12,\"I talked to Avery, Eva, Claire, Olivia for 18 minutes in the late afternoon.\",\"I talked to Avery, Eva, Claire, Olivia for 18 minutes in the late afternoon.\"\n17281,2015/02/12,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n17282,2015/02/12,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n17283,2015/02/13,\"I went grocery shopping with Claire, Piper, Lydia, Piper, Nevaeh, Layla, Olivia. I bought some watermelons, blueberries, nectarines, chocolate milk, sports drinks, guava juice, and body lotion, conditioner, shampoo\",\"I went grocery shopping with Claire, Piper, Lydia, Piper, Nevaeh, Layla, Olivia. I bought some watermelons, blueberries, nectarines, chocolate milk, sports drinks, guava juice, and body lotion, conditioner, shampoo\"\n17284,2015/02/13,I did hiking on 2015/02/13.,I did hiking on 2015/02/13.\n17285,2015/02/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n17286,2015/02/13,I had steak for lunch with Willow,I had steak for lunch with Willow\n17287,2015/02/13,I had sushi for dinner with Andrew,I had sushi for dinner with Andrew\n17288,2015/02/13,\"I spent 13 talking to Eva, Rylee, Hazel, Kinsley on various topics during lunch hours.\",\"I spent 13 talking to Eva, Rylee, Hazel, Kinsley on various topics during lunch hours.\"\n17289,2015/02/13,\"I talked to Layla, Nevaeh, Olivia, Kinsley for 48 minutes late in the evening.\",\"I talked to Layla, Nevaeh, Olivia, Kinsley for 48 minutes late in the evening.\"\n17290,2015/02/13,\"I talked to Claire, Rylee for 12 minutes in the early evening.\",\"I talked to Claire, Rylee for 12 minutes in the early evening.\"\n17291,2015/02/13,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n17292,2015/02/13,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n17293,2015/02/14,I did biking on 2015/02/14.,I did biking on 2015/02/14.\n17294,2015/02/14,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n17295,2015/02/14,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n17296,2015/02/14,I had steak for dinner with Andrew,I had steak for dinner with Andrew\n17297,2015/02/14,\"I spent 14 talking to Rylee, Olivia on various topics late in the evening.\",\"I spent 14 talking to Rylee, Olivia on various topics late in the evening.\"\n17298,2015/02/14,\"I spent 22 talking to Hazel, Nevaeh on various topics during lunch hours.\",\"I spent 22 talking to Hazel, Nevaeh on various topics during lunch hours.\"\n17299,2015/02/14,I talked to Kinsley for 47 minutes during lunch hours.,I talked to Kinsley for 47 minutes during lunch hours.\n17300,2015/02/14,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n17301,2015/02/14,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n17302,2015/02/15,I did weight lifting on 2015/02/15.,I did weight lifting on 2015/02/15.\n17303,2015/02/15,I had breakfast with Carter. I ate peanut-butter-jam.,I had breakfast with Carter. I ate peanut-butter-jam.\n17304,2015/02/15,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n17305,2015/02/15,\"I had a burger for dinner with Claire, Rylee, Piper, Eva, Kinsley, Nevaeh\",\"I had a burger for dinner with Claire, Rylee, Piper, Eva, Kinsley, Nevaeh\"\n17306,2015/02/15,\"I spent 27 talking to Hazel, Piper, Avery on various topics late in the evening.\",\"I spent 27 talking to Hazel, Piper, Avery on various topics late in the evening.\"\n17307,2015/02/15,\"I talked to Rylee, Lydia for 54 minutes in the early afternoon.\",\"I talked to Rylee, Lydia for 54 minutes in the early afternoon.\"\n17308,2015/02/15,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n17309,2015/02/15,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n17310,2015/02/16,\"I spent time working out on 2015/02/16 with Jackson, Avery.\",\"I spent time working out on 2015/02/16 with Jackson, Avery.\"\n17311,2015/02/16,\"I had breakfast with Eva, Claire, Lydia, Layla, Hazel, Piper, Nora, Avery, Piper. I ate oatmeal.\",\"I had breakfast with Eva, Claire, Lydia, Layla, Hazel, Piper, Nora, Avery, Piper. I ate oatmeal.\"\n17312,2015/02/16,I ate tacos for lunch.,I ate tacos for lunch.\n17313,2015/02/16,I prepare tacos for dinner.,I prepare tacos for dinner.\n17314,2015/02/16,\"I talked to Piper, Nevaeh for 11 minutes in the early evening.\",\"I talked to Piper, Nevaeh for 11 minutes in the early evening.\"\n17315,2015/02/16,\"I talked to Lydia, Avery for 24 minutes in the late afternoon.\",\"I talked to Lydia, Avery for 24 minutes in the late afternoon.\"\n17316,2015/02/16,\"I talked to Hazel, Kinsley for 49 minutes in the morning.\",\"I talked to Hazel, Kinsley for 49 minutes in the morning.\"\n17317,2015/02/16,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n17318,2015/02/16,I watched news for 52 minutes on TV today.,I watched news for 52 minutes on TV today.\n17319,2015/02/17,I did hiking on 2015/02/17.,I did hiking on 2015/02/17.\n17320,2015/02/17,\"I had breakfast with Willow, Avery, Jackson, Benjamin. I ate toast and cheese.\",\"I had breakfast with Willow, Avery, Jackson, Benjamin. I ate toast and cheese.\"\n17321,2015/02/17,\"I had fish and chips for lunch with Avery, Jackson, Benjamin\",\"I had fish and chips for lunch with Avery, Jackson, Benjamin\"\n17322,2015/02/17,I ate sandwich for dinner.,I ate sandwich for dinner.\n17323,2015/02/17,\"I spent 50 talking to Rylee, Claire on various topics in the early evening.\",\"I spent 50 talking to Rylee, Claire on various topics in the early evening.\"\n17324,2015/02/17,\"I talked to Olivia, Piper, Rylee, Kinsley for 9 minutes in the morning.\",\"I talked to Olivia, Piper, Rylee, Kinsley for 9 minutes in the morning.\"\n17325,2015/02/17,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n17326,2015/02/17,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n17327,2015/02/18,\"I bought some blackberries, orange juice, mango juice, mineral water, tea, toothbrush from the grocery store. I saw Andrew, Kayden, Carter, Emily at the grocery store.\",\"I bought some blackberries, orange juice, mango juice, mineral water, tea, toothbrush from the grocery store. I saw Andrew, Kayden, Carter, Emily at the grocery store.\"\n17328,2015/02/18,I did swimming on 2015/02/18.,I did swimming on 2015/02/18.\n17329,2015/02/18,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n17330,2015/02/18,\"I had chinese food for lunch with Avery, Willow\",\"I had chinese food for lunch with Avery, Willow\"\n17331,2015/02/18,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n17332,2015/02/18,\"I spent 33 talking to Nevaeh, Piper, Kinsley, Claire on various topics in the early afternoon.\",\"I spent 33 talking to Nevaeh, Piper, Kinsley, Claire on various topics in the early afternoon.\"\n17333,2015/02/18,\"I spent 34 talking to Nora, Nevaeh on various topics during lunch hours.\",\"I spent 34 talking to Nora, Nevaeh on various topics during lunch hours.\"\n17334,2015/02/18,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n17335,2015/02/18,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n17336,2015/02/19,I went on a date with Samuel on 2015/02/19 at a coffee Shop,I went on a date with Samuel on 2015/02/19 at a coffee Shop\n17337,2015/02/19,I did hiking on 2015/02/19.,I did hiking on 2015/02/19.\n17338,2015/02/19,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17339,2015/02/19,I prepare indian food for lunch.,I prepare indian food for lunch.\n17340,2015/02/19,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n17341,2015/02/19,\"I talked to Layla, Lydia, Claire, Piper for 38 minutes in the morning.\",\"I talked to Layla, Lydia, Claire, Piper for 38 minutes in the morning.\"\n17342,2015/02/19,\"I spent 36 talking to Rylee, Kinsley, Lydia on various topics during lunch hours.\",\"I spent 36 talking to Rylee, Kinsley, Lydia on various topics during lunch hours.\"\n17343,2015/02/19,\"I spent 15 talking to Lydia, Eva, Piper, Claire on various topics in the late afternoon.\",\"I spent 15 talking to Lydia, Eva, Piper, Claire on various topics in the late afternoon.\"\n17344,2015/02/19,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n17345,2015/02/19,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n17346,2015/02/20,I did HIIT on 2015/02/20.,I did HIIT on 2015/02/20.\n17347,2015/02/20,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n17348,2015/02/20,\"I had steak for lunch with Emily, Andrew, Kayden, Carter\",\"I had steak for lunch with Emily, Andrew, Kayden, Carter\"\n17349,2015/02/20,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n17350,2015/02/20,\"I spent 16 talking to Hazel, Layla, Piper on various topics in the late afternoon.\",\"I spent 16 talking to Hazel, Layla, Piper on various topics in the late afternoon.\"\n17351,2015/02/20,I spent 31 talking to Claire on various topics during lunch hours.,I spent 31 talking to Claire on various topics during lunch hours.\n17352,2015/02/20,I talked to Hazel for 9 minutes in the morning.,I talked to Hazel for 9 minutes in the morning.\n17353,2015/02/20,\"I talked to Kinsley, Nevaeh, Claire, Layla for 33 minutes during lunch hours.\",\"I talked to Kinsley, Nevaeh, Claire, Layla for 33 minutes during lunch hours.\"\n17354,2015/02/20,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n17355,2015/02/20,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n17356,2015/02/21,I did running on 2015/02/21.,I did running on 2015/02/21.\n17357,2015/02/21,I had breakfast with Kayden. I ate peanut-butter-jam.,I had breakfast with Kayden. I ate peanut-butter-jam.\n17358,2015/02/21,\"I had chinese food for lunch with Nora, Eva, Layla, Nevaeh, Piper, Hazel, Piper, Lydia, Olivia, Rylee, Avery\",\"I had chinese food for lunch with Nora, Eva, Layla, Nevaeh, Piper, Hazel, Piper, Lydia, Olivia, Rylee, Avery\"\n17359,2015/02/21,I ate sushi for dinner.,I ate sushi for dinner.\n17360,2015/02/21,\"I spent 46 talking to Piper, Layla on various topics in the early evening.\",\"I spent 46 talking to Piper, Layla on various topics in the early evening.\"\n17361,2015/02/21,I spent 42 talking to Rylee on various topics in the morning.,I spent 42 talking to Rylee on various topics in the morning.\n17362,2015/02/21,\"I spent 46 talking to Claire, Layla on various topics in the late afternoon.\",\"I spent 46 talking to Claire, Layla on various topics in the late afternoon.\"\n17363,2015/02/21,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n17364,2015/02/21,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n17365,2015/02/22,\"I bought some strawberries, blueberries, mandarins, pineapple juice, shaving cream, toilet paper, body lotion, facial wash from the grocery store. I saw Eva at the grocery store.\",\"I bought some strawberries, blueberries, mandarins, pineapple juice, shaving cream, toilet paper, body lotion, facial wash from the grocery store. I saw Eva at the grocery store.\"\n17366,2015/02/22,I did hiking on 2015/02/22.,I did hiking on 2015/02/22.\n17367,2015/02/22,\"I had breakfast with Claire, Olivia, Layla, Piper, Avery, Hazel, Nevaeh, Piper, Lydia, Kinsley, Nora, Eva, Rylee. I ate oatmeal.\",\"I had breakfast with Claire, Olivia, Layla, Piper, Avery, Hazel, Nevaeh, Piper, Lydia, Kinsley, Nora, Eva, Rylee. I ate oatmeal.\"\n17368,2015/02/22,I had lunch. I ate steak.,I had lunch. I ate steak.\n17369,2015/02/22,\"I had pasta for dinner with Nevaeh, Lydia, Hazel, Eva, Kinsley, Nora, Rylee, Piper, Piper, Layla, Claire, Olivia\",\"I had pasta for dinner with Nevaeh, Lydia, Hazel, Eva, Kinsley, Nora, Rylee, Piper, Piper, Layla, Claire, Olivia\"\n17370,2015/02/22,\"I spent 25 talking to Olivia, Nora, Hazel, Piper on various topics in the morning.\",\"I spent 25 talking to Olivia, Nora, Hazel, Piper on various topics in the morning.\"\n17371,2015/02/22,I talked to Nora for 20 minutes late in the evening.,I talked to Nora for 20 minutes late in the evening.\n17372,2015/02/22,I talked to Piper for 18 minutes late in the evening.,I talked to Piper for 18 minutes late in the evening.\n17373,2015/02/22,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n17374,2015/02/22,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n17375,2015/02/23,I did HIIT on 2015/02/23.,I did HIIT on 2015/02/23.\n17376,2015/02/23,\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate eggs, sausages, and bread.\"\n17377,2015/02/23,\"I had sushi for lunch with Emily, Carter, Kayden, Andrew\",\"I had sushi for lunch with Emily, Carter, Kayden, Andrew\"\n17378,2015/02/23,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n17379,2015/02/23,\"I spent 30 talking to Eva, Avery on various topics in the late afternoon.\",\"I spent 30 talking to Eva, Avery on various topics in the late afternoon.\"\n17380,2015/02/23,\"I spent 27 talking to Lydia, Piper, Kinsley on various topics in the late afternoon.\",\"I spent 27 talking to Lydia, Piper, Kinsley on various topics in the late afternoon.\"\n17381,2015/02/23,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n17382,2015/02/23,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n17383,2015/02/24,I did swimming on 2015/02/24.,I did swimming on 2015/02/24.\n17384,2015/02/24,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n17385,2015/02/24,\"I had sandwich for lunch with Jackson, Willow, Benjamin, Avery\",\"I had sandwich for lunch with Jackson, Willow, Benjamin, Avery\"\n17386,2015/02/24,I had chinese food for dinner with Emily,I had chinese food for dinner with Emily\n17387,2015/02/24,\"I talked to Kinsley, Olivia for 18 minutes in the late afternoon.\",\"I talked to Kinsley, Olivia for 18 minutes in the late afternoon.\"\n17388,2015/02/24,I talked to Rylee for 51 minutes during lunch hours.,I talked to Rylee for 51 minutes during lunch hours.\n17389,2015/02/24,\"I spent 25 talking to Layla, Claire, Eva on various topics in the early evening.\",\"I spent 25 talking to Layla, Claire, Eva on various topics in the early evening.\"\n17390,2015/02/24,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n17391,2015/02/24,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n17392,2015/02/25,I spent some time meditation on 2015/02/25.,I spent some time meditation on 2015/02/25.\n17393,2015/02/25,I did hiking on 2015/02/25.,I did hiking on 2015/02/25.\n17394,2015/02/25,I had cereals for breakfast with Avery,I had cereals for breakfast with Avery\n17395,2015/02/25,\"I had lunch with Carter, Andrew. I ate pasta.\",\"I had lunch with Carter, Andrew. I ate pasta.\"\n17396,2015/02/25,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n17397,2015/02/25,\"I talked to Hazel, Claire, Lydia, Avery for 14 minutes in the early evening.\",\"I talked to Hazel, Claire, Lydia, Avery for 14 minutes in the early evening.\"\n17398,2015/02/25,\"I spent 42 talking to Claire, Eva, Avery on various topics late in the evening.\",\"I spent 42 talking to Claire, Eva, Avery on various topics late in the evening.\"\n17399,2015/02/25,I spent 27 talking to Rylee on various topics late in the evening.,I spent 27 talking to Rylee on various topics late in the evening.\n17400,2015/02/25,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n17401,2015/02/25,I watched a documentary for 50 minutes on TV today.,I watched a documentary for 50 minutes on TV today.\n17402,2015/02/26,\"I entertained Andrew, Kayden, Emily, Carter at my place on 2015/02/26 and cook chinese broccoli with oyster sauce\",\"I entertained Andrew, Kayden, Emily, Carter at my place on 2015/02/26 and cook chinese broccoli with oyster sauce\"\n17403,2015/02/26,I did running on 2015/02/26.,I did running on 2015/02/26.\n17404,2015/02/26,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n17405,2015/02/26,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n17406,2015/02/26,\"I had steak for dinner with Emily, Carter\",\"I had steak for dinner with Emily, Carter\"\n17407,2015/02/26,\"I talked to Olivia, Eva for 11 minutes in the morning.\",\"I talked to Olivia, Eva for 11 minutes in the morning.\"\n17408,2015/02/26,I talked to Nevaeh for 20 minutes during lunch hours.,I talked to Nevaeh for 20 minutes during lunch hours.\n17409,2015/02/26,\"I talked to Piper, Nora, Eva, Lydia for 43 minutes in the early afternoon.\",\"I talked to Piper, Nora, Eva, Lydia for 43 minutes in the early afternoon.\"\n17410,2015/02/26,\"I talked to Piper, Rylee for 23 minutes in the early evening.\",\"I talked to Piper, Rylee for 23 minutes in the early evening.\"\n17411,2015/02/26,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n17412,2015/02/26,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n17413,2015/02/27,I did biking on 2015/02/27.,I did biking on 2015/02/27.\n17414,2015/02/27,\"I had eggs, sausages, and bread for breakfast with Kayden, Andrew\",\"I had eggs, sausages, and bread for breakfast with Kayden, Andrew\"\n17415,2015/02/27,I had lunch. I ate steak.,I had lunch. I ate steak.\n17416,2015/02/27,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n17417,2015/02/27,\"I spent 15 talking to Rylee, Layla, Hazel, Kinsley on various topics during lunch hours.\",\"I spent 15 talking to Rylee, Layla, Hazel, Kinsley on various topics during lunch hours.\"\n17418,2015/02/27,\"I talked to Olivia, Piper, Lydia, Piper for 32 minutes in the early evening.\",\"I talked to Olivia, Piper, Lydia, Piper for 32 minutes in the early evening.\"\n17419,2015/02/27,I talked to Piper for 41 minutes in the late afternoon.,I talked to Piper for 41 minutes in the late afternoon.\n17420,2015/02/27,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n17421,2015/02/27,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n17422,2015/02/28,\"I bought some guava, mineral water, toothbrush, paper towel, shaving cream, shampoo from the grocery store. I saw Olivia, Lydia, Piper, Piper at the grocery store.\",\"I bought some guava, mineral water, toothbrush, paper towel, shaving cream, shampoo from the grocery store. I saw Olivia, Lydia, Piper, Piper at the grocery store.\"\n17423,2015/02/28,I did running on 2015/02/28.,I did running on 2015/02/28.\n17424,2015/02/28,\"I had eggs, sausages, and bread for breakfast with Carter, Andrew\",\"I had eggs, sausages, and bread for breakfast with Carter, Andrew\"\n17425,2015/02/28,I prepare steak for lunch.,I prepare steak for lunch.\n17426,2015/02/28,\"I had dinner with Kayden, Carter, Andrew. I ate indian food.\",\"I had dinner with Kayden, Carter, Andrew. I ate indian food.\"\n17427,2015/02/28,\"I spent 18 talking to Piper, Nora on various topics during lunch hours.\",\"I spent 18 talking to Piper, Nora on various topics during lunch hours.\"\n17428,2015/02/28,\"I talked to Hazel, Kinsley, Claire, Nora for 53 minutes in the late afternoon.\",\"I talked to Hazel, Kinsley, Claire, Nora for 53 minutes in the late afternoon.\"\n17429,2015/02/28,\"I talked to Avery, Nora, Olivia, Claire for 19 minutes in the morning.\",\"I talked to Avery, Nora, Olivia, Claire for 19 minutes in the morning.\"\n17430,2015/02/28,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n17431,2015/02/28,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n17432,2015/03/01,I did biking on 2015/03/01.,I did biking on 2015/03/01.\n17433,2015/03/01,\"I had peanut-butter-jam for breakfast with Layla, Piper, Hazel, Claire, Piper, Kinsley, Nevaeh, Eva, Rylee, Olivia, Lydia, Nora\",\"I had peanut-butter-jam for breakfast with Layla, Piper, Hazel, Claire, Piper, Kinsley, Nevaeh, Eva, Rylee, Olivia, Lydia, Nora\"\n17434,2015/03/01,I had lunch. I ate steak.,I had lunch. I ate steak.\n17435,2015/03/01,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n17436,2015/03/01,\"I spent 17 talking to Kinsley, Nora, Olivia, Nevaeh on various topics in the early evening.\",\"I spent 17 talking to Kinsley, Nora, Olivia, Nevaeh on various topics in the early evening.\"\n17437,2015/03/01,\"I spent 54 talking to Hazel, Nevaeh, Kinsley on various topics in the early afternoon.\",\"I spent 54 talking to Hazel, Nevaeh, Kinsley on various topics in the early afternoon.\"\n17438,2015/03/01,\"I spent 19 talking to Lydia, Nora on various topics late in the evening.\",\"I spent 19 talking to Lydia, Nora on various topics late in the evening.\"\n17439,2015/03/01,\"I spent 8 talking to Olivia, Lydia, Claire, Nora on various topics late in the evening.\",\"I spent 8 talking to Olivia, Lydia, Claire, Nora on various topics late in the evening.\"\n17440,2015/03/01,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n17441,2015/03/01,I spent 35 minutes watching a movie on TV today.,I spent 35 minutes watching a movie on TV today.\n17442,2015/03/02,I did weight lifting on 2015/03/02.,I did weight lifting on 2015/03/02.\n17443,2015/03/02,I had toast and cheese for breakfast with Kayden,I had toast and cheese for breakfast with Kayden\n17444,2015/03/02,I ate indian food for lunch.,I ate indian food for lunch.\n17445,2015/03/02,I ate tacos for dinner.,I ate tacos for dinner.\n17446,2015/03/02,I spent 54 talking to Piper on various topics in the early evening.,I spent 54 talking to Piper on various topics in the early evening.\n17447,2015/03/02,I talked to Kinsley for 36 minutes in the late afternoon.,I talked to Kinsley for 36 minutes in the late afternoon.\n17448,2015/03/02,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n17449,2015/03/02,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n17450,2015/03/03,I did HIIT on 2015/03/03.,I did HIIT on 2015/03/03.\n17451,2015/03/03,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n17452,2015/03/03,\"I had steak for lunch with Willow, Benjamin, Jackson\",\"I had steak for lunch with Willow, Benjamin, Jackson\"\n17453,2015/03/03,\"I had sushi for dinner with Emily, Carter, Andrew, Kayden\",\"I had sushi for dinner with Emily, Carter, Andrew, Kayden\"\n17454,2015/03/03,\"I talked to Nora, Nevaeh, Claire, Layla for 43 minutes in the late afternoon.\",\"I talked to Nora, Nevaeh, Claire, Layla for 43 minutes in the late afternoon.\"\n17455,2015/03/03,I talked to Rylee for 46 minutes in the early evening.,I talked to Rylee for 46 minutes in the early evening.\n17456,2015/03/03,\"I spent 32 talking to Olivia, Nora on various topics late in the evening.\",\"I spent 32 talking to Olivia, Nora on various topics late in the evening.\"\n17457,2015/03/03,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n17458,2015/03/03,I watched news for 13 minutes on TV today.,I watched news for 13 minutes on TV today.\n17459,2015/03/04,I did biking on 2015/03/04.,I did biking on 2015/03/04.\n17460,2015/03/04,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n17461,2015/03/04,\"I had lunch with Kayden, Emily, Carter, Andrew. I ate fish and chips.\",\"I had lunch with Kayden, Emily, Carter, Andrew. I ate fish and chips.\"\n17462,2015/03/04,I ate chinese food for dinner.,I ate chinese food for dinner.\n17463,2015/03/04,\"I spent 45 talking to Hazel, Nevaeh, Layla, Rylee on various topics during lunch hours.\",\"I spent 45 talking to Hazel, Nevaeh, Layla, Rylee on various topics during lunch hours.\"\n17464,2015/03/04,I talked to Lydia for 13 minutes late in the evening.,I talked to Lydia for 13 minutes late in the evening.\n17465,2015/03/04,\"I talked to Olivia, Avery, Rylee for 34 minutes during lunch hours.\",\"I talked to Olivia, Avery, Rylee for 34 minutes during lunch hours.\"\n17466,2015/03/04,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n17467,2015/03/04,I spent 33 minutes watching a movie on TV today.,I spent 33 minutes watching a movie on TV today.\n17468,2015/03/05,I did HIIT on 2015/03/05.,I did HIIT on 2015/03/05.\n17469,2015/03/05,\"I had breakfast with Kinsley, Layla, Piper, Lydia, Rylee, Eva. I ate peanut-butter-jam.\",\"I had breakfast with Kinsley, Layla, Piper, Lydia, Rylee, Eva. I ate peanut-butter-jam.\"\n17470,2015/03/05,I ate a burger for lunch.,I ate a burger for lunch.\n17471,2015/03/05,I ate sandwich for dinner.,I ate sandwich for dinner.\n17472,2015/03/05,\"I talked to Hazel, Claire for 10 minutes late in the evening.\",\"I talked to Hazel, Claire for 10 minutes late in the evening.\"\n17473,2015/03/05,\"I talked to Nora, Lydia, Hazel, Layla for 33 minutes in the early afternoon.\",\"I talked to Nora, Lydia, Hazel, Layla for 33 minutes in the early afternoon.\"\n17474,2015/03/05,\"I spent 21 talking to Olivia, Eva, Lydia on various topics in the morning.\",\"I spent 21 talking to Olivia, Eva, Lydia on various topics in the morning.\"\n17475,2015/03/05,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n17476,2015/03/05,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n17477,2015/03/06,I went on a date with Layla on 2015/03/06 at a park,I went on a date with Layla on 2015/03/06 at a park\n17478,2015/03/06,\"I went grocery shopping with Avery, Willow, Jackson, Benjamin. I bought some nectarines, apple juice, sports drinks, tea, orange juice, and toothbrush, shaving cream\",\"I went grocery shopping with Avery, Willow, Jackson, Benjamin. I bought some nectarines, apple juice, sports drinks, tea, orange juice, and toothbrush, shaving cream\"\n17479,2015/03/06,I did swimming on 2015/03/06.,I did swimming on 2015/03/06.\n17480,2015/03/06,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n17481,2015/03/06,I ate indian food for lunch.,I ate indian food for lunch.\n17482,2015/03/06,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n17483,2015/03/06,I spent 25 talking to Lydia on various topics in the early afternoon.,I spent 25 talking to Lydia on various topics in the early afternoon.\n17484,2015/03/06,I spent 30 talking to Piper on various topics in the late afternoon.,I spent 30 talking to Piper on various topics in the late afternoon.\n17485,2015/03/06,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n17486,2015/03/06,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n17487,2015/03/07,I really enjoyed gardening on 2015/03/07,I really enjoyed gardening on 2015/03/07\n17488,2015/03/07,I did running on 2015/03/07.,I did running on 2015/03/07.\n17489,2015/03/07,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n17490,2015/03/07,\"I had steak for lunch with Nevaeh, Piper, Layla, Olivia, Piper\",\"I had steak for lunch with Nevaeh, Piper, Layla, Olivia, Piper\"\n17491,2015/03/07,I ate sandwich for dinner.,I ate sandwich for dinner.\n17492,2015/03/07,\"I talked to Nora, Avery, Rylee, Kinsley for 27 minutes in the late afternoon.\",\"I talked to Nora, Avery, Rylee, Kinsley for 27 minutes in the late afternoon.\"\n17493,2015/03/07,\"I spent 8 talking to Eva, Piper on various topics in the early afternoon.\",\"I spent 8 talking to Eva, Piper on various topics in the early afternoon.\"\n17494,2015/03/07,\"I talked to Rylee, Nora, Hazel for 27 minutes in the morning.\",\"I talked to Rylee, Nora, Hazel for 27 minutes in the morning.\"\n17495,2015/03/07,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n17496,2015/03/07,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n17497,2015/03/08,I did biking on 2015/03/08.,I did biking on 2015/03/08.\n17498,2015/03/08,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n17499,2015/03/08,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n17500,2015/03/08,\"I had dinner with Emily, Andrew, Kayden. I ate chinese food.\",\"I had dinner with Emily, Andrew, Kayden. I ate chinese food.\"\n17501,2015/03/08,\"I talked to Avery, Rylee, Nora, Nevaeh for 26 minutes during lunch hours.\",\"I talked to Avery, Rylee, Nora, Nevaeh for 26 minutes during lunch hours.\"\n17502,2015/03/08,I talked to Olivia for 37 minutes in the late afternoon.,I talked to Olivia for 37 minutes in the late afternoon.\n17503,2015/03/08,\"I talked to Rylee, Olivia, Lydia for 22 minutes in the late afternoon.\",\"I talked to Rylee, Olivia, Lydia for 22 minutes in the late afternoon.\"\n17504,2015/03/08,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n17505,2015/03/08,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n17506,2015/03/09,\"I really enjoyed baking easy peanut butter fudge on 2015/03/09 with Andrew, Kayden, Emily, Carter at my place\",\"I really enjoyed baking easy peanut butter fudge on 2015/03/09 with Andrew, Kayden, Emily, Carter at my place\"\n17507,2015/03/09,I did running on 2015/03/09.,I did running on 2015/03/09.\n17508,2015/03/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n17509,2015/03/09,I ate indian food for lunch.,I ate indian food for lunch.\n17510,2015/03/09,I had chinese food for dinner with Avery,I had chinese food for dinner with Avery\n17511,2015/03/09,\"I spent 21 talking to Piper, Rylee, Lydia, Eva on various topics in the early evening.\",\"I spent 21 talking to Piper, Rylee, Lydia, Eva on various topics in the early evening.\"\n17512,2015/03/09,\"I spent 13 talking to Olivia, Layla, Piper on various topics in the early afternoon.\",\"I spent 13 talking to Olivia, Layla, Piper on various topics in the early afternoon.\"\n17513,2015/03/09,\"I talked to Piper, Kinsley, Claire, Lydia for 47 minutes in the morning.\",\"I talked to Piper, Kinsley, Claire, Lydia for 47 minutes in the morning.\"\n17514,2015/03/09,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n17515,2015/03/09,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n17516,2015/03/10,\"I bought some oranges, blackberries, milk, soda, facial wash, toothbrush online.\",\"I bought some oranges, blackberries, milk, soda, facial wash, toothbrush online.\"\n17517,2015/03/10,I did running on 2015/03/10.,I did running on 2015/03/10.\n17518,2015/03/10,\"I had cereals for breakfast with Kayden, Carter\",\"I had cereals for breakfast with Kayden, Carter\"\n17519,2015/03/10,\"I had sandwich for lunch with Andrew, Carter, Emily, Kayden\",\"I had sandwich for lunch with Andrew, Carter, Emily, Kayden\"\n17520,2015/03/10,I ate pasta for dinner.,I ate pasta for dinner.\n17521,2015/03/10,\"I spent 22 talking to Piper, Nevaeh on various topics late in the evening.\",\"I spent 22 talking to Piper, Nevaeh on various topics late in the evening.\"\n17522,2015/03/10,\"I spent 45 talking to Rylee, Eva, Nevaeh, Piper on various topics in the late afternoon.\",\"I spent 45 talking to Rylee, Eva, Nevaeh, Piper on various topics in the late afternoon.\"\n17523,2015/03/10,I talked to Hazel for 54 minutes in the late afternoon.,I talked to Hazel for 54 minutes in the late afternoon.\n17524,2015/03/10,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n17525,2015/03/10,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n17526,2015/03/11,I did running on 2015/03/11.,I did running on 2015/03/11.\n17527,2015/03/11,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n17528,2015/03/11,\"I had chinese food for lunch with Andrew, Kayden\",\"I had chinese food for lunch with Andrew, Kayden\"\n17529,2015/03/11,\"I had chinese food for dinner with Andrew, Carter, Emily\",\"I had chinese food for dinner with Andrew, Carter, Emily\"\n17530,2015/03/11,\"I spent 39 talking to Eva, Nora, Hazel, Avery on various topics in the early evening.\",\"I spent 39 talking to Eva, Nora, Hazel, Avery on various topics in the early evening.\"\n17531,2015/03/11,\"I talked to Kinsley, Rylee, Avery, Nora for 52 minutes in the morning.\",\"I talked to Kinsley, Rylee, Avery, Nora for 52 minutes in the morning.\"\n17532,2015/03/11,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n17533,2015/03/11,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n17534,2015/03/12,I did running on 2015/03/12.,I did running on 2015/03/12.\n17535,2015/03/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n17536,2015/03/12,\"I had chinese food for lunch with Carter, Andrew\",\"I had chinese food for lunch with Carter, Andrew\"\n17537,2015/03/12,I ate indian food for dinner.,I ate indian food for dinner.\n17538,2015/03/12,\"I spent 26 talking to Hazel, Nevaeh on various topics during lunch hours.\",\"I spent 26 talking to Hazel, Nevaeh on various topics during lunch hours.\"\n17539,2015/03/12,\"I spent 16 talking to Avery, Nevaeh, Claire on various topics in the early evening.\",\"I spent 16 talking to Avery, Nevaeh, Claire on various topics in the early evening.\"\n17540,2015/03/12,\"I spent 30 talking to Lydia, Kinsley, Avery on various topics in the morning.\",\"I spent 30 talking to Lydia, Kinsley, Avery on various topics in the morning.\"\n17541,2015/03/12,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n17542,2015/03/12,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n17543,2015/03/13,I did swimming on 2015/03/13.,I did swimming on 2015/03/13.\n17544,2015/03/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n17545,2015/03/13,I had lunch with Hazel. I ate steak.,I had lunch with Hazel. I ate steak.\n17546,2015/03/13,\"I had dinner with Avery, Jackson, Willow. I ate a burger.\",\"I had dinner with Avery, Jackson, Willow. I ate a burger.\"\n17547,2015/03/13,\"I spent 39 talking to Nora, Layla, Eva on various topics in the early afternoon.\",\"I spent 39 talking to Nora, Layla, Eva on various topics in the early afternoon.\"\n17548,2015/03/13,I spent 55 talking to Lydia on various topics in the morning.,I spent 55 talking to Lydia on various topics in the morning.\n17549,2015/03/13,I talked to Piper for 24 minutes in the early evening.,I talked to Piper for 24 minutes in the early evening.\n17550,2015/03/13,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n17551,2015/03/13,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n17552,2015/03/14,\"On 2015/03/14, I took Ryan on a date to a restaurant\",\"On 2015/03/14, I took Ryan on a date to a restaurant\"\n17553,2015/03/14,\"I bought some mandarins, clementines, apple juice, chocolate milk, mango juice, coffee, conditioner, facial wash, mouth wash, toilet paper online.\",\"I bought some mandarins, clementines, apple juice, chocolate milk, mango juice, coffee, conditioner, facial wash, mouth wash, toilet paper online.\"\n17554,2015/03/14,I did biking on 2015/03/14.,I did biking on 2015/03/14.\n17555,2015/03/14,\"I had breakfast with Benjamin, Willow. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Willow. I ate peanut-butter-jam.\"\n17556,2015/03/14,\"I had a burger for lunch with Willow, Benjamin\",\"I had a burger for lunch with Willow, Benjamin\"\n17557,2015/03/14,\"I had dinner with Avery, Nevaeh, Lydia, Claire, Piper, Nora, Kinsley, Rylee. I ate fish and chips.\",\"I had dinner with Avery, Nevaeh, Lydia, Claire, Piper, Nora, Kinsley, Rylee. I ate fish and chips.\"\n17558,2015/03/14,I spent 41 talking to Nora on various topics late in the evening.,I spent 41 talking to Nora on various topics late in the evening.\n17559,2015/03/14,\"I spent 18 talking to Hazel, Olivia, Kinsley on various topics in the early afternoon.\",\"I spent 18 talking to Hazel, Olivia, Kinsley on various topics in the early afternoon.\"\n17560,2015/03/14,\"I spent 13 talking to Layla, Hazel, Lydia on various topics during lunch hours.\",\"I spent 13 talking to Layla, Hazel, Lydia on various topics during lunch hours.\"\n17561,2015/03/14,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n17562,2015/03/14,I watched news for 36 minutes on TV today.,I watched news for 36 minutes on TV today.\n17563,2015/03/15,\"On 2015/03/15, I took Aiden on a date to a restaurant\",\"On 2015/03/15, I took Aiden on a date to a restaurant\"\n17564,2015/03/15,I did HIIT on 2015/03/15.,I did HIIT on 2015/03/15.\n17565,2015/03/15,\"I had breakfast with Emily, Andrew, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew, Kayden. I ate peanut-butter-jam.\"\n17566,2015/03/15,I ate sushi for lunch.,I ate sushi for lunch.\n17567,2015/03/15,I ate pasta for dinner.,I ate pasta for dinner.\n17568,2015/03/15,\"I spent 12 talking to Claire, Nevaeh on various topics late in the evening.\",\"I spent 12 talking to Claire, Nevaeh on various topics late in the evening.\"\n17569,2015/03/15,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n17570,2015/03/15,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n17571,2015/03/16,I did running on 2015/03/16.,I did running on 2015/03/16.\n17572,2015/03/16,\"I had pancakes for breakfast with Kayden, Emily, Carter\",\"I had pancakes for breakfast with Kayden, Emily, Carter\"\n17573,2015/03/16,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n17574,2015/03/16,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n17575,2015/03/16,\"I talked to Kinsley, Piper, Claire for 12 minutes late in the evening.\",\"I talked to Kinsley, Piper, Claire for 12 minutes late in the evening.\"\n17576,2015/03/16,\"I spent 50 talking to Lydia, Nora, Eva, Nevaeh on various topics in the early evening.\",\"I spent 50 talking to Lydia, Nora, Eva, Nevaeh on various topics in the early evening.\"\n17577,2015/03/16,\"I talked to Piper, Piper, Eva for 36 minutes during lunch hours.\",\"I talked to Piper, Piper, Eva for 36 minutes during lunch hours.\"\n17578,2015/03/16,\"I spent 55 talking to Avery, Piper, Claire, Kinsley on various topics in the morning.\",\"I spent 55 talking to Avery, Piper, Claire, Kinsley on various topics in the morning.\"\n17579,2015/03/16,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n17580,2015/03/16,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n17581,2015/03/17,I spent some time working out on 2015/03/17.,I spent some time working out on 2015/03/17.\n17582,2015/03/17,\"I bought some nectarines, blackberries, bananas, mineral water, milk, coffee, toilet paper, shaving cream online.\",\"I bought some nectarines, blackberries, bananas, mineral water, milk, coffee, toilet paper, shaving cream online.\"\n17583,2015/03/17,I did weight lifting on 2015/03/17.,I did weight lifting on 2015/03/17.\n17584,2015/03/17,\"I had eggs, sausages, and bread for breakfast with Kinsley, Eva, Hazel, Layla\",\"I had eggs, sausages, and bread for breakfast with Kinsley, Eva, Hazel, Layla\"\n17585,2015/03/17,I had lunch. I ate steak.,I had lunch. I ate steak.\n17586,2015/03/17,I ate indian food for dinner.,I ate indian food for dinner.\n17587,2015/03/17,I talked to Hazel for 7 minutes in the late afternoon.,I talked to Hazel for 7 minutes in the late afternoon.\n17588,2015/03/17,\"I talked to Eva, Kinsley, Nora, Claire for 25 minutes during lunch hours.\",\"I talked to Eva, Kinsley, Nora, Claire for 25 minutes during lunch hours.\"\n17589,2015/03/17,\"I spent 46 talking to Lydia, Layla, Avery on various topics in the late afternoon.\",\"I spent 46 talking to Lydia, Layla, Avery on various topics in the late afternoon.\"\n17590,2015/03/17,\"I talked to Hazel, Kinsley for 11 minutes during lunch hours.\",\"I talked to Hazel, Kinsley for 11 minutes during lunch hours.\"\n17591,2015/03/17,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n17592,2015/03/17,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n17593,2015/03/18,I did swimming on 2015/03/18.,I did swimming on 2015/03/18.\n17594,2015/03/18,\"I had breakfast with Emily, Carter. I ate toast and cheese.\",\"I had breakfast with Emily, Carter. I ate toast and cheese.\"\n17595,2015/03/18,I ate chinese food for lunch.,I ate chinese food for lunch.\n17596,2015/03/18,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n17597,2015/03/18,\"I spent 38 talking to Nora, Kinsley, Avery on various topics during lunch hours.\",\"I spent 38 talking to Nora, Kinsley, Avery on various topics during lunch hours.\"\n17598,2015/03/18,\"I talked to Avery, Piper for 43 minutes in the early evening.\",\"I talked to Avery, Piper for 43 minutes in the early evening.\"\n17599,2015/03/18,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n17600,2015/03/18,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n17601,2015/03/19,\"I went grocery shopping with Carter, Emily, Andrew, Kayden. I bought some cherres, oranges, clementines, pineapple juice, orange juice, mango juice, guava juice, and shaving cream\",\"I went grocery shopping with Carter, Emily, Andrew, Kayden. I bought some cherres, oranges, clementines, pineapple juice, orange juice, mango juice, guava juice, and shaving cream\"\n17602,2015/03/19,I did HIIT on 2015/03/19.,I did HIIT on 2015/03/19.\n17603,2015/03/19,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n17604,2015/03/19,I ate steak for lunch.,I ate steak for lunch.\n17605,2015/03/19,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n17606,2015/03/19,\"I spent 47 talking to Piper, Eva on various topics late in the evening.\",\"I spent 47 talking to Piper, Eva on various topics late in the evening.\"\n17607,2015/03/19,\"I spent 11 talking to Nevaeh, Eva on various topics in the morning.\",\"I spent 11 talking to Nevaeh, Eva on various topics in the morning.\"\n17608,2015/03/19,\"I spent 46 talking to Nora, Kinsley, Avery on various topics in the late afternoon.\",\"I spent 46 talking to Nora, Kinsley, Avery on various topics in the late afternoon.\"\n17609,2015/03/19,\"I spent 47 talking to Piper, Hazel on various topics during lunch hours.\",\"I spent 47 talking to Piper, Hazel on various topics during lunch hours.\"\n17610,2015/03/19,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n17611,2015/03/19,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n17612,2015/03/20,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n17613,2015/03/20,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n17614,2015/03/20,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n17615,2015/03/20,I spent 23 talking to Claire on various topics late in the evening.,I spent 23 talking to Claire on various topics late in the evening.\n17616,2015/03/20,\"I spent 24 talking to Rylee, Piper on various topics in the late afternoon.\",\"I spent 24 talking to Rylee, Piper on various topics in the late afternoon.\"\n17617,2015/03/20,\"I talked to Eva, Hazel for 15 minutes late in the evening.\",\"I talked to Eva, Hazel for 15 minutes late in the evening.\"\n17618,2015/03/20,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n17619,2015/03/20,I watched news for 35 minutes on TV today.,I watched news for 35 minutes on TV today.\n17620,2015/03/21,I did weight lifting on 2015/03/21.,I did weight lifting on 2015/03/21.\n17621,2015/03/21,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17622,2015/03/21,\"I had lunch with Benjamin, Avery, Willow. I ate steak.\",\"I had lunch with Benjamin, Avery, Willow. I ate steak.\"\n17623,2015/03/21,I prepare steak for dinner.,I prepare steak for dinner.\n17624,2015/03/21,\"I talked to Claire, Olivia, Hazel, Rylee for 18 minutes in the early evening.\",\"I talked to Claire, Olivia, Hazel, Rylee for 18 minutes in the early evening.\"\n17625,2015/03/21,I spent 7 talking to Lydia on various topics in the early afternoon.,I spent 7 talking to Lydia on various topics in the early afternoon.\n17626,2015/03/21,\"I talked to Rylee, Lydia, Eva for 45 minutes in the early evening.\",\"I talked to Rylee, Lydia, Eva for 45 minutes in the early evening.\"\n17627,2015/03/21,\"I spent 27 talking to Hazel, Kinsley on various topics in the early evening.\",\"I spent 27 talking to Hazel, Kinsley on various topics in the early evening.\"\n17628,2015/03/21,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n17629,2015/03/21,I watched a tv series for 16 minutes on TV today.,I watched a tv series for 16 minutes on TV today.\n17630,2015/03/22,I went on a date with Madison on 2015/03/22 at a coffee Shop,I went on a date with Madison on 2015/03/22 at a coffee Shop\n17631,2015/03/22,I did HIIT on 2015/03/22.,I did HIIT on 2015/03/22.\n17632,2015/03/22,\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate oatmeal.\",\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate oatmeal.\"\n17633,2015/03/22,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n17634,2015/03/22,\"I had dinner with Nora, Rylee, Avery, Layla, Lydia, Piper, Olivia, Kinsley, Claire. I ate pasta.\",\"I had dinner with Nora, Rylee, Avery, Layla, Lydia, Piper, Olivia, Kinsley, Claire. I ate pasta.\"\n17635,2015/03/22,\"I spent 27 talking to Eva, Lydia, Kinsley, Hazel on various topics in the morning.\",\"I spent 27 talking to Eva, Lydia, Kinsley, Hazel on various topics in the morning.\"\n17636,2015/03/22,I spent 13 talking to Nevaeh on various topics in the early afternoon.,I spent 13 talking to Nevaeh on various topics in the early afternoon.\n17637,2015/03/22,I talked to Hazel for 48 minutes in the morning.,I talked to Hazel for 48 minutes in the morning.\n17638,2015/03/22,\"I spent 18 talking to Rylee, Kinsley, Layla, Avery on various topics in the late afternoon.\",\"I spent 18 talking to Rylee, Kinsley, Layla, Avery on various topics in the late afternoon.\"\n17639,2015/03/22,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n17640,2015/03/22,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n17641,2015/03/23,\"I went grocery shopping. I bought some mangos, bananas, strawberries, apples, mineral water, and conditioner, shaving cream, toilet paper, body lotion\",\"I went grocery shopping. I bought some mangos, bananas, strawberries, apples, mineral water, and conditioner, shaving cream, toilet paper, body lotion\"\n17642,2015/03/23,I did running on 2015/03/23.,I did running on 2015/03/23.\n17643,2015/03/23,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n17644,2015/03/23,\"I had lunch with Piper, Hazel, Layla, Avery, Lydia, Piper. I ate pasta.\",\"I had lunch with Piper, Hazel, Layla, Avery, Lydia, Piper. I ate pasta.\"\n17645,2015/03/23,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n17646,2015/03/23,\"I talked to Claire, Kinsley, Olivia for 50 minutes late in the evening.\",\"I talked to Claire, Kinsley, Olivia for 50 minutes late in the evening.\"\n17647,2015/03/23,I talked to Lydia for 29 minutes in the early evening.,I talked to Lydia for 29 minutes in the early evening.\n17648,2015/03/23,\"I talked to Eva, Lydia for 14 minutes late in the evening.\",\"I talked to Eva, Lydia for 14 minutes late in the evening.\"\n17649,2015/03/23,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n17650,2015/03/23,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n17651,2015/03/24,I did biking on 2015/03/24.,I did biking on 2015/03/24.\n17652,2015/03/24,\"I had breakfast with Layla, Lydia. I ate oatmeal.\",\"I had breakfast with Layla, Lydia. I ate oatmeal.\"\n17653,2015/03/24,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n17654,2015/03/24,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n17655,2015/03/24,I talked to Layla for 19 minutes in the early evening.,I talked to Layla for 19 minutes in the early evening.\n17656,2015/03/24,\"I spent 39 talking to Olivia, Piper on various topics in the early afternoon.\",\"I spent 39 talking to Olivia, Piper on various topics in the early afternoon.\"\n17657,2015/03/24,I talked to Nora for 17 minutes in the early afternoon.,I talked to Nora for 17 minutes in the early afternoon.\n17658,2015/03/24,\"I talked to Hazel, Layla, Piper for 53 minutes late in the evening.\",\"I talked to Hazel, Layla, Piper for 53 minutes late in the evening.\"\n17659,2015/03/24,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n17660,2015/03/24,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n17661,2015/03/25,I did swimming on 2015/03/25.,I did swimming on 2015/03/25.\n17662,2015/03/25,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n17663,2015/03/25,I ate pasta for lunch.,I ate pasta for lunch.\n17664,2015/03/25,I prepare indian food for dinner.,I prepare indian food for dinner.\n17665,2015/03/25,\"I spent 48 talking to Olivia, Nevaeh on various topics in the morning.\",\"I spent 48 talking to Olivia, Nevaeh on various topics in the morning.\"\n17666,2015/03/25,\"I spent 48 talking to Piper, Avery on various topics in the late afternoon.\",\"I spent 48 talking to Piper, Avery on various topics in the late afternoon.\"\n17667,2015/03/25,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n17668,2015/03/25,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n17669,2015/03/26,I did weight lifting on 2015/03/26.,I did weight lifting on 2015/03/26.\n17670,2015/03/26,\"I had eggs, sausages, and bread for breakfast with Kayden\",\"I had eggs, sausages, and bread for breakfast with Kayden\"\n17671,2015/03/26,I had lunch. I ate steak.,I had lunch. I ate steak.\n17672,2015/03/26,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n17673,2015/03/26,\"I spent 5 talking to Nora, Piper, Kinsley on various topics during lunch hours.\",\"I spent 5 talking to Nora, Piper, Kinsley on various topics during lunch hours.\"\n17674,2015/03/26,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n17675,2015/03/26,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n17676,2015/03/27,\"I bought some clementines, watermelons, blackberries, guava, sports drinks, guava juice, chocolate milk, toilet paper, shaving cream from the grocery store. I saw Benjamin at the grocery store.\",\"I bought some clementines, watermelons, blackberries, guava, sports drinks, guava juice, chocolate milk, toilet paper, shaving cream from the grocery store. I saw Benjamin at the grocery store.\"\n17677,2015/03/27,I did biking on 2015/03/27.,I did biking on 2015/03/27.\n17678,2015/03/27,I had breakfast with Benjamin. I ate toast and cheese.,I had breakfast with Benjamin. I ate toast and cheese.\n17679,2015/03/27,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n17680,2015/03/27,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n17681,2015/03/27,\"I talked to Avery, Rylee, Hazel for 9 minutes in the late afternoon.\",\"I talked to Avery, Rylee, Hazel for 9 minutes in the late afternoon.\"\n17682,2015/03/27,\"I talked to Claire, Eva, Hazel for 49 minutes during lunch hours.\",\"I talked to Claire, Eva, Hazel for 49 minutes during lunch hours.\"\n17683,2015/03/27,\"I talked to Kinsley, Olivia, Layla, Claire for 44 minutes in the early evening.\",\"I talked to Kinsley, Olivia, Layla, Claire for 44 minutes in the early evening.\"\n17684,2015/03/27,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n17685,2015/03/27,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n17686,2015/03/28,I really enjoyed meditation on 2015/03/28,I really enjoyed meditation on 2015/03/28\n17687,2015/03/28,I did swimming on 2015/03/28.,I did swimming on 2015/03/28.\n17688,2015/03/28,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n17689,2015/03/28,I prepare tacos for lunch.,I prepare tacos for lunch.\n17690,2015/03/28,I ate sushi for dinner.,I ate sushi for dinner.\n17691,2015/03/28,I talked to Layla for 35 minutes in the morning.,I talked to Layla for 35 minutes in the morning.\n17692,2015/03/28,\"I talked to Kinsley, Hazel, Nevaeh for 22 minutes during lunch hours.\",\"I talked to Kinsley, Hazel, Nevaeh for 22 minutes during lunch hours.\"\n17693,2015/03/28,\"I spent 24 talking to Claire, Hazel on various topics in the early evening.\",\"I spent 24 talking to Claire, Hazel on various topics in the early evening.\"\n17694,2015/03/28,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n17695,2015/03/28,I spent 39 minutes watching a movie on TV today.,I spent 39 minutes watching a movie on TV today.\n17696,2015/03/29,I did running on 2015/03/29.,I did running on 2015/03/29.\n17697,2015/03/29,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n17698,2015/03/29,I ate indian food for lunch.,I ate indian food for lunch.\n17699,2015/03/29,\"I had steak for dinner with Kayden, Andrew\",\"I had steak for dinner with Kayden, Andrew\"\n17700,2015/03/29,\"I spent 55 talking to Nevaeh, Kinsley, Olivia, Claire on various topics during lunch hours.\",\"I spent 55 talking to Nevaeh, Kinsley, Olivia, Claire on various topics during lunch hours.\"\n17701,2015/03/29,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n17702,2015/03/29,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n17703,2015/03/30,\"I bought some apples, cherres, chocolate milk, mouthwash online.\",\"I bought some apples, cherres, chocolate milk, mouthwash online.\"\n17704,2015/03/30,I did biking on 2015/03/30.,I did biking on 2015/03/30.\n17705,2015/03/30,\"I had toast and cheese for breakfast with Carter, Emily\",\"I had toast and cheese for breakfast with Carter, Emily\"\n17706,2015/03/30,\"I had lunch with Andrew, Emily. I ate chinese food.\",\"I had lunch with Andrew, Emily. I ate chinese food.\"\n17707,2015/03/30,I prepare tacos for dinner.,I prepare tacos for dinner.\n17708,2015/03/30,\"I spent 49 talking to Claire, Avery, Kinsley on various topics in the late afternoon.\",\"I spent 49 talking to Claire, Avery, Kinsley on various topics in the late afternoon.\"\n17709,2015/03/30,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n17710,2015/03/30,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n17711,2015/03/31,I did running on 2015/03/31.,I did running on 2015/03/31.\n17712,2015/03/31,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n17713,2015/03/31,I ate chinese food for lunch.,I ate chinese food for lunch.\n17714,2015/03/31,I ate indian food for dinner.,I ate indian food for dinner.\n17715,2015/03/31,\"I spent 39 talking to Layla, Olivia, Claire, Piper on various topics in the late afternoon.\",\"I spent 39 talking to Layla, Olivia, Claire, Piper on various topics in the late afternoon.\"\n17716,2015/03/31,\"I talked to Piper, Olivia, Avery, Nevaeh for 35 minutes during lunch hours.\",\"I talked to Piper, Olivia, Avery, Nevaeh for 35 minutes during lunch hours.\"\n17717,2015/03/31,I spent 24 talking to Nora on various topics in the early afternoon.,I spent 24 talking to Nora on various topics in the early afternoon.\n17718,2015/03/31,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n17719,2015/03/31,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n17720,2015/04/01,\"On 2015/04/01, I took Isla on a date to a restaurant\",\"On 2015/04/01, I took Isla on a date to a restaurant\"\n17721,2015/04/01,I really enjoyed gardening on 2015/04/01,I really enjoyed gardening on 2015/04/01\n17722,2015/04/01,I did biking on 2015/04/01.,I did biking on 2015/04/01.\n17723,2015/04/01,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n17724,2015/04/01,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n17725,2015/04/01,I ate steak for dinner.,I ate steak for dinner.\n17726,2015/04/01,I talked to Olivia for 45 minutes in the early evening.,I talked to Olivia for 45 minutes in the early evening.\n17727,2015/04/01,I spent 55 talking to Claire on various topics in the morning.,I spent 55 talking to Claire on various topics in the morning.\n17728,2015/04/01,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n17729,2015/04/01,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n17730,2015/04/02,\"I bought some mangos, mandarins, pears, guava, soda, coffee, sports drinks, mango juice, conditioner, facial wash, mouthwash, body lotion online.\",\"I bought some mangos, mandarins, pears, guava, soda, coffee, sports drinks, mango juice, conditioner, facial wash, mouthwash, body lotion online.\"\n17731,2015/04/02,I did biking on 2015/04/02.,I did biking on 2015/04/02.\n17732,2015/04/02,\"I had peanut-butter-jam for breakfast with Nora, Kinsley, Avery, Olivia, Nevaeh\",\"I had peanut-butter-jam for breakfast with Nora, Kinsley, Avery, Olivia, Nevaeh\"\n17733,2015/04/02,\"I had lunch with Willow, Jackson, Avery, Benjamin. I ate indian food.\",\"I had lunch with Willow, Jackson, Avery, Benjamin. I ate indian food.\"\n17734,2015/04/02,\"I had dinner with Lydia, Piper, Nora, Kinsley, Olivia, Claire, Nevaeh. I ate chinese food.\",\"I had dinner with Lydia, Piper, Nora, Kinsley, Olivia, Claire, Nevaeh. I ate chinese food.\"\n17735,2015/04/02,\"I spent 38 talking to Rylee, Piper on various topics in the late afternoon.\",\"I spent 38 talking to Rylee, Piper on various topics in the late afternoon.\"\n17736,2015/04/02,\"I talked to Claire, Lydia, Nevaeh, Eva for 42 minutes late in the evening.\",\"I talked to Claire, Lydia, Nevaeh, Eva for 42 minutes late in the evening.\"\n17737,2015/04/02,\"I spent 12 talking to Eva, Rylee, Claire, Hazel on various topics during lunch hours.\",\"I spent 12 talking to Eva, Rylee, Claire, Hazel on various topics during lunch hours.\"\n17738,2015/04/02,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n17739,2015/04/02,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n17740,2015/04/03,I did swimming on 2015/04/03.,I did swimming on 2015/04/03.\n17741,2015/04/03,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n17742,2015/04/03,I prepare pasta for lunch.,I prepare pasta for lunch.\n17743,2015/04/03,I ate indian food for dinner.,I ate indian food for dinner.\n17744,2015/04/03,\"I talked to Avery, Layla for 25 minutes late in the evening.\",\"I talked to Avery, Layla for 25 minutes late in the evening.\"\n17745,2015/04/03,I spent 21 talking to Eva on various topics in the early evening.,I spent 21 talking to Eva on various topics in the early evening.\n17746,2015/04/03,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n17747,2015/04/03,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n17748,2015/04/04,I did hiking on 2015/04/04.,I did hiking on 2015/04/04.\n17749,2015/04/04,\"I had cereals for breakfast with Benjamin, Willow\",\"I had cereals for breakfast with Benjamin, Willow\"\n17750,2015/04/04,I had sandwich for lunch with Emily,I had sandwich for lunch with Emily\n17751,2015/04/04,I ate indian food for dinner.,I ate indian food for dinner.\n17752,2015/04/04,\"I spent 12 talking to Layla, Nora on various topics in the morning.\",\"I spent 12 talking to Layla, Nora on various topics in the morning.\"\n17753,2015/04/04,\"I spent 50 talking to Nevaeh, Lydia, Piper, Olivia on various topics in the late afternoon.\",\"I spent 50 talking to Nevaeh, Lydia, Piper, Olivia on various topics in the late afternoon.\"\n17754,2015/04/04,\"I spent 6 talking to Rylee, Hazel, Avery, Layla on various topics in the early evening.\",\"I spent 6 talking to Rylee, Hazel, Avery, Layla on various topics in the early evening.\"\n17755,2015/04/04,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n17756,2015/04/04,I spent 15 minutes watching a documentary on TV today.,I spent 15 minutes watching a documentary on TV today.\n17757,2015/04/05,\"I went grocery shopping with Carter. I bought some apricots, coffee, and mouth wash\",\"I went grocery shopping with Carter. I bought some apricots, coffee, and mouth wash\"\n17758,2015/04/05,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n17759,2015/04/05,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n17760,2015/04/05,I had dinner. I ate steak.,I had dinner. I ate steak.\n17761,2015/04/05,\"I talked to Claire, Eva, Piper for 39 minutes late in the evening.\",\"I talked to Claire, Eva, Piper for 39 minutes late in the evening.\"\n17762,2015/04/05,\"I spent 9 talking to Hazel, Nevaeh on various topics in the late afternoon.\",\"I spent 9 talking to Hazel, Nevaeh on various topics in the late afternoon.\"\n17763,2015/04/05,\"I spent 52 talking to Hazel, Piper, Layla on various topics in the morning.\",\"I spent 52 talking to Hazel, Piper, Layla on various topics in the morning.\"\n17764,2015/04/05,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n17765,2015/04/05,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n17766,2015/04/06,I did HIIT on 2015/04/06.,I did HIIT on 2015/04/06.\n17767,2015/04/06,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n17768,2015/04/06,I ate tacos for lunch.,I ate tacos for lunch.\n17769,2015/04/06,I had dinner. I ate steak.,I had dinner. I ate steak.\n17770,2015/04/06,\"I spent 8 talking to Avery, Lydia, Claire on various topics in the early afternoon.\",\"I spent 8 talking to Avery, Lydia, Claire on various topics in the early afternoon.\"\n17771,2015/04/06,I spent 19 talking to Lydia on various topics in the morning.,I spent 19 talking to Lydia on various topics in the morning.\n17772,2015/04/06,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n17773,2015/04/06,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n17774,2015/04/07,I did biking on 2015/04/07.,I did biking on 2015/04/07.\n17775,2015/04/07,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n17776,2015/04/07,\"I had lunch with Emily, Andrew. I ate chinese food.\",\"I had lunch with Emily, Andrew. I ate chinese food.\"\n17777,2015/04/07,I had dinner. I ate steak.,I had dinner. I ate steak.\n17778,2015/04/07,\"I talked to Rylee, Olivia, Nevaeh for 48 minutes in the morning.\",\"I talked to Rylee, Olivia, Nevaeh for 48 minutes in the morning.\"\n17779,2015/04/07,I talked to Kinsley for 45 minutes in the early evening.,I talked to Kinsley for 45 minutes in the early evening.\n17780,2015/04/07,\"I spent 18 talking to Avery, Nevaeh on various topics in the early afternoon.\",\"I spent 18 talking to Avery, Nevaeh on various topics in the early afternoon.\"\n17781,2015/04/07,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n17782,2015/04/07,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n17783,2015/04/08,I did swimming on 2015/04/08.,I did swimming on 2015/04/08.\n17784,2015/04/08,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n17785,2015/04/08,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n17786,2015/04/08,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n17787,2015/04/08,\"I spent 45 talking to Avery, Hazel, Piper, Lydia on various topics in the early evening.\",\"I spent 45 talking to Avery, Hazel, Piper, Lydia on various topics in the early evening.\"\n17788,2015/04/08,\"I talked to Claire, Rylee, Avery, Layla for 32 minutes late in the evening.\",\"I talked to Claire, Rylee, Avery, Layla for 32 minutes late in the evening.\"\n17789,2015/04/08,I talked to Olivia for 36 minutes during lunch hours.,I talked to Olivia for 36 minutes during lunch hours.\n17790,2015/04/08,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n17791,2015/04/08,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n17792,2015/04/09,I did swimming on 2015/04/09.,I did swimming on 2015/04/09.\n17793,2015/04/09,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n17794,2015/04/09,\"I had sandwich for lunch with Emily, Andrew\",\"I had sandwich for lunch with Emily, Andrew\"\n17795,2015/04/09,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n17796,2015/04/09,\"I talked to Nora, Piper, Layla, Olivia for 36 minutes in the morning.\",\"I talked to Nora, Piper, Layla, Olivia for 36 minutes in the morning.\"\n17797,2015/04/09,I spent 15 talking to Nevaeh on various topics in the late afternoon.,I spent 15 talking to Nevaeh on various topics in the late afternoon.\n17798,2015/04/09,\"I talked to Layla, Lydia, Claire for 21 minutes during lunch hours.\",\"I talked to Layla, Lydia, Claire for 21 minutes during lunch hours.\"\n17799,2015/04/09,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n17800,2015/04/09,I spent 36 minutes watching a documentary on TV today.,I spent 36 minutes watching a documentary on TV today.\n17801,2015/04/10,I went on a date with Aubrey on 2015/04/10 at a boba shop,I went on a date with Aubrey on 2015/04/10 at a boba shop\n17802,2015/04/10,I spent time gardening on 2015/04/10 with Andrew.,I spent time gardening on 2015/04/10 with Andrew.\n17803,2015/04/10,I did hiking on 2015/04/10.,I did hiking on 2015/04/10.\n17804,2015/04/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n17805,2015/04/10,I ate pasta for lunch.,I ate pasta for lunch.\n17806,2015/04/10,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n17807,2015/04/10,\"I talked to Piper, Kinsley, Layla for 16 minutes in the early evening.\",\"I talked to Piper, Kinsley, Layla for 16 minutes in the early evening.\"\n17808,2015/04/10,\"I spent 34 talking to Piper, Layla, Lydia on various topics in the early evening.\",\"I spent 34 talking to Piper, Layla, Lydia on various topics in the early evening.\"\n17809,2015/04/10,\"I talked to Nora, Rylee, Eva, Piper for 6 minutes in the early afternoon.\",\"I talked to Nora, Rylee, Eva, Piper for 6 minutes in the early afternoon.\"\n17810,2015/04/10,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n17811,2015/04/10,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n17812,2015/04/11,I did running on 2015/04/11.,I did running on 2015/04/11.\n17813,2015/04/11,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n17814,2015/04/11,\"I had pasta for lunch with Kayden, Emily\",\"I had pasta for lunch with Kayden, Emily\"\n17815,2015/04/11,I ate sandwich for dinner.,I ate sandwich for dinner.\n17816,2015/04/11,\"I spent 30 talking to Hazel, Kinsley, Lydia on various topics in the late afternoon.\",\"I spent 30 talking to Hazel, Kinsley, Lydia on various topics in the late afternoon.\"\n17817,2015/04/11,\"I spent 27 talking to Claire, Avery, Lydia on various topics late in the evening.\",\"I spent 27 talking to Claire, Avery, Lydia on various topics late in the evening.\"\n17818,2015/04/11,\"I spent 8 talking to Lydia, Piper, Avery on various topics in the early evening.\",\"I spent 8 talking to Lydia, Piper, Avery on various topics in the early evening.\"\n17819,2015/04/11,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n17820,2015/04/11,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n17821,2015/04/12,I did biking on 2015/04/12.,I did biking on 2015/04/12.\n17822,2015/04/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n17823,2015/04/12,\"I had steak for lunch with Kinsley, Claire, Rylee, Eva, Avery, Olivia, Nevaeh, Piper, Piper\",\"I had steak for lunch with Kinsley, Claire, Rylee, Eva, Avery, Olivia, Nevaeh, Piper, Piper\"\n17824,2015/04/12,I had dinner. I ate steak.,I had dinner. I ate steak.\n17825,2015/04/12,\"I spent 30 talking to Lydia, Nora, Piper on various topics in the morning.\",\"I spent 30 talking to Lydia, Nora, Piper on various topics in the morning.\"\n17826,2015/04/12,\"I spent 6 talking to Piper, Hazel, Eva, Avery on various topics during lunch hours.\",\"I spent 6 talking to Piper, Hazel, Eva, Avery on various topics during lunch hours.\"\n17827,2015/04/12,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n17828,2015/04/12,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n17829,2015/04/13,I did hiking on 2015/04/13.,I did hiking on 2015/04/13.\n17830,2015/04/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n17831,2015/04/13,I had lunch. I ate steak.,I had lunch. I ate steak.\n17832,2015/04/13,I prepare tacos for dinner.,I prepare tacos for dinner.\n17833,2015/04/13,\"I spent 13 talking to Piper, Lydia, Eva on various topics in the late afternoon.\",\"I spent 13 talking to Piper, Lydia, Eva on various topics in the late afternoon.\"\n17834,2015/04/13,\"I spent 41 talking to Eva, Piper, Claire on various topics in the morning.\",\"I spent 41 talking to Eva, Piper, Claire on various topics in the morning.\"\n17835,2015/04/13,\"I spent 18 talking to Claire, Nora on various topics in the early evening.\",\"I spent 18 talking to Claire, Nora on various topics in the early evening.\"\n17836,2015/04/13,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n17837,2015/04/13,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n17838,2015/04/14,\"I went grocery shopping with Kayden. I bought some watermelons, nectarines, apples, bananas, orange juice, pineapple juice, mango juice, milk, and shampoo, toilet paper\",\"I went grocery shopping with Kayden. I bought some watermelons, nectarines, apples, bananas, orange juice, pineapple juice, mango juice, milk, and shampoo, toilet paper\"\n17839,2015/04/14,I did HIIT on 2015/04/14.,I did HIIT on 2015/04/14.\n17840,2015/04/14,\"I had eggs, sausages, and bread for breakfast with Avery, Piper, Nora, Rylee, Eva, Piper, Olivia, Claire, Lydia, Kinsley, Layla, Hazel\",\"I had eggs, sausages, and bread for breakfast with Avery, Piper, Nora, Rylee, Eva, Piper, Olivia, Claire, Lydia, Kinsley, Layla, Hazel\"\n17841,2015/04/14,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n17842,2015/04/14,I prepare pasta for dinner.,I prepare pasta for dinner.\n17843,2015/04/14,I talked to Lydia for 17 minutes during lunch hours.,I talked to Lydia for 17 minutes during lunch hours.\n17844,2015/04/14,\"I talked to Claire, Lydia, Rylee, Piper for 9 minutes in the early evening.\",\"I talked to Claire, Lydia, Rylee, Piper for 9 minutes in the early evening.\"\n17845,2015/04/14,\"I talked to Rylee, Hazel, Nora, Eva for 33 minutes in the early evening.\",\"I talked to Rylee, Hazel, Nora, Eva for 33 minutes in the early evening.\"\n17846,2015/04/14,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n17847,2015/04/14,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n17848,2015/04/15,\"On 2015/04/15, I took Joshua on a date to a coffee Shop\",\"On 2015/04/15, I took Joshua on a date to a coffee Shop\"\n17849,2015/04/15,I did weight lifting on 2015/04/15.,I did weight lifting on 2015/04/15.\n17850,2015/04/15,\"I had pancakes for breakfast with Carter, Emily, Andrew\",\"I had pancakes for breakfast with Carter, Emily, Andrew\"\n17851,2015/04/15,I ate steak for lunch.,I ate steak for lunch.\n17852,2015/04/15,I prepare tacos for dinner.,I prepare tacos for dinner.\n17853,2015/04/15,\"I spent 50 talking to Avery, Rylee, Hazel, Piper on various topics in the late afternoon.\",\"I spent 50 talking to Avery, Rylee, Hazel, Piper on various topics in the late afternoon.\"\n17854,2015/04/15,\"I spent 53 talking to Hazel, Kinsley, Nevaeh, Piper on various topics late in the evening.\",\"I spent 53 talking to Hazel, Kinsley, Nevaeh, Piper on various topics late in the evening.\"\n17855,2015/04/15,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n17856,2015/04/15,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n17857,2015/04/16,I did HIIT on 2015/04/16.,I did HIIT on 2015/04/16.\n17858,2015/04/16,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n17859,2015/04/16,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n17860,2015/04/16,\"I had sandwich for dinner with Piper, Eva, Claire, Olivia, Nevaeh, Piper, Nora\",\"I had sandwich for dinner with Piper, Eva, Claire, Olivia, Nevaeh, Piper, Nora\"\n17861,2015/04/16,\"I spent 27 talking to Hazel, Piper, Rylee on various topics in the morning.\",\"I spent 27 talking to Hazel, Piper, Rylee on various topics in the morning.\"\n17862,2015/04/16,\"I talked to Piper, Nora, Lydia for 39 minutes in the morning.\",\"I talked to Piper, Nora, Lydia for 39 minutes in the morning.\"\n17863,2015/04/16,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n17864,2015/04/16,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n17865,2015/04/17,I did HIIT on 2015/04/17.,I did HIIT on 2015/04/17.\n17866,2015/04/17,\"I had breakfast with Rylee, Piper, Nevaeh, Kinsley, Nora, Layla, Claire. I ate pancakes.\",\"I had breakfast with Rylee, Piper, Nevaeh, Kinsley, Nora, Layla, Claire. I ate pancakes.\"\n17867,2015/04/17,\"I had tacos for lunch with Emily, Kayden, Andrew\",\"I had tacos for lunch with Emily, Kayden, Andrew\"\n17868,2015/04/17,I ate indian food for dinner.,I ate indian food for dinner.\n17869,2015/04/17,\"I talked to Claire, Hazel for 37 minutes in the late afternoon.\",\"I talked to Claire, Hazel for 37 minutes in the late afternoon.\"\n17870,2015/04/17,\"I talked to Piper, Eva, Lydia, Hazel for 8 minutes late in the evening.\",\"I talked to Piper, Eva, Lydia, Hazel for 8 minutes late in the evening.\"\n17871,2015/04/17,\"I talked to Eva, Claire for 19 minutes late in the evening.\",\"I talked to Eva, Claire for 19 minutes late in the evening.\"\n17872,2015/04/17,\"I talked to Layla, Claire, Avery, Eva for 46 minutes late in the evening.\",\"I talked to Layla, Claire, Avery, Eva for 46 minutes late in the evening.\"\n17873,2015/04/17,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n17874,2015/04/17,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n17875,2015/04/18,\"I went grocery shopping with Andrew, Emily, Kayden. I bought some clementines, bananas, orange juice, coffee, and toothpaste, mouthwash, shaving cream\",\"I went grocery shopping with Andrew, Emily, Kayden. I bought some clementines, bananas, orange juice, coffee, and toothpaste, mouthwash, shaving cream\"\n17876,2015/04/18,I did biking on 2015/04/18.,I did biking on 2015/04/18.\n17877,2015/04/18,\"I had eggs, sausages, and bread for breakfast with Benjamin, Jackson, Avery\",\"I had eggs, sausages, and bread for breakfast with Benjamin, Jackson, Avery\"\n17878,2015/04/18,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n17879,2015/04/18,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n17880,2015/04/18,\"I spent 44 talking to Lydia, Avery on various topics in the early afternoon.\",\"I spent 44 talking to Lydia, Avery on various topics in the early afternoon.\"\n17881,2015/04/18,I spent 18 talking to Piper on various topics in the late afternoon.,I spent 18 talking to Piper on various topics in the late afternoon.\n17882,2015/04/18,\"I talked to Kinsley, Rylee, Layla for 35 minutes in the morning.\",\"I talked to Kinsley, Rylee, Layla for 35 minutes in the morning.\"\n17883,2015/04/18,\"I talked to Claire, Lydia, Piper for 37 minutes in the late afternoon.\",\"I talked to Claire, Lydia, Piper for 37 minutes in the late afternoon.\"\n17884,2015/04/18,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n17885,2015/04/18,I watched a tv series for 46 minutes on TV today.,I watched a tv series for 46 minutes on TV today.\n17886,2015/04/19,I did swimming on 2015/04/19.,I did swimming on 2015/04/19.\n17887,2015/04/19,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17888,2015/04/19,I had lunch with Avery. I ate indian food.,I had lunch with Avery. I ate indian food.\n17889,2015/04/19,I ate sushi for dinner.,I ate sushi for dinner.\n17890,2015/04/19,I spent 34 talking to Hazel on various topics in the early evening.,I spent 34 talking to Hazel on various topics in the early evening.\n17891,2015/04/19,I spent 13 talking to Kinsley on various topics in the early afternoon.,I spent 13 talking to Kinsley on various topics in the early afternoon.\n17892,2015/04/19,I talked to Layla for 26 minutes late in the evening.,I talked to Layla for 26 minutes late in the evening.\n17893,2015/04/19,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n17894,2015/04/19,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n17895,2015/04/20,\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate peanut-butter-jam.\"\n17896,2015/04/20,I had pasta for lunch with Andrew,I had pasta for lunch with Andrew\n17897,2015/04/20,\"I had dinner with Andrew, Kayden, Carter. I ate a burger.\",\"I had dinner with Andrew, Kayden, Carter. I ate a burger.\"\n17898,2015/04/20,I spent 51 talking to Olivia on various topics in the late afternoon.,I spent 51 talking to Olivia on various topics in the late afternoon.\n17899,2015/04/20,I talked to Rylee for 42 minutes in the early afternoon.,I talked to Rylee for 42 minutes in the early afternoon.\n17900,2015/04/20,\"I spent 43 talking to Piper, Eva, Nevaeh on various topics in the late afternoon.\",\"I spent 43 talking to Piper, Eva, Nevaeh on various topics in the late afternoon.\"\n17901,2015/04/20,\"I spent 33 talking to Nora, Lydia on various topics in the late afternoon.\",\"I spent 33 talking to Nora, Lydia on various topics in the late afternoon.\"\n17902,2015/04/20,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n17903,2015/04/20,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n17904,2015/04/21,\"I went grocery shopping with Willow, Avery. I bought some blueberries, mineral water, sports drinks, soda, mango juice, and toothbrush, body lotion, facial wash, shampoo\",\"I went grocery shopping with Willow, Avery. I bought some blueberries, mineral water, sports drinks, soda, mango juice, and toothbrush, body lotion, facial wash, shampoo\"\n17905,2015/04/21,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n17906,2015/04/21,I ate steak for lunch.,I ate steak for lunch.\n17907,2015/04/21,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n17908,2015/04/21,I spent 29 talking to Nora on various topics during lunch hours.,I spent 29 talking to Nora on various topics during lunch hours.\n17909,2015/04/21,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n17910,2015/04/21,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n17911,2015/04/22,I went on a date with Hazel on 2015/04/22 at a park,I went on a date with Hazel on 2015/04/22 at a park\n17912,2015/04/22,I did hiking on 2015/04/22.,I did hiking on 2015/04/22.\n17913,2015/04/22,\"I had breakfast with Kayden, Andrew, Carter, Emily. I ate pancakes.\",\"I had breakfast with Kayden, Andrew, Carter, Emily. I ate pancakes.\"\n17914,2015/04/22,I ate pasta for lunch.,I ate pasta for lunch.\n17915,2015/04/22,\"I had chinese food for dinner with Eva, Claire, Olivia, Layla, Piper, Kinsley, Nevaeh, Piper, Lydia, Hazel, Avery, Rylee, Nora\",\"I had chinese food for dinner with Eva, Claire, Olivia, Layla, Piper, Kinsley, Nevaeh, Piper, Lydia, Hazel, Avery, Rylee, Nora\"\n17916,2015/04/22,I spent 16 talking to Nora on various topics during lunch hours.,I spent 16 talking to Nora on various topics during lunch hours.\n17917,2015/04/22,\"I talked to Eva, Nevaeh, Piper for 42 minutes in the early evening.\",\"I talked to Eva, Nevaeh, Piper for 42 minutes in the early evening.\"\n17918,2015/04/22,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n17919,2015/04/22,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n17920,2015/04/23,I went on a date with Easton on 2015/04/23 at a restaurant,I went on a date with Easton on 2015/04/23 at a restaurant\n17921,2015/04/23,I did hiking on 2015/04/23.,I did hiking on 2015/04/23.\n17922,2015/04/23,\"I had breakfast with Benjamin, Willow, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Willow, Jackson. I ate peanut-butter-jam.\"\n17923,2015/04/23,I ate sandwich for lunch.,I ate sandwich for lunch.\n17924,2015/04/23,I had tacos for dinner with Avery,I had tacos for dinner with Avery\n17925,2015/04/23,I talked to Layla for 40 minutes in the late afternoon.,I talked to Layla for 40 minutes in the late afternoon.\n17926,2015/04/23,\"I talked to Lydia, Claire, Olivia for 51 minutes in the late afternoon.\",\"I talked to Lydia, Claire, Olivia for 51 minutes in the late afternoon.\"\n17927,2015/04/23,\"I spent 30 talking to Claire, Kinsley, Rylee, Olivia on various topics during lunch hours.\",\"I spent 30 talking to Claire, Kinsley, Rylee, Olivia on various topics during lunch hours.\"\n17928,2015/04/23,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n17929,2015/04/23,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n17930,2015/04/24,\"I went grocery shopping with Kayden, Emily, Carter. I bought some blueberries, strawberries, pineapple juice, and toothpaste, mouthwash, shaving cream, body lotion\",\"I went grocery shopping with Kayden, Emily, Carter. I bought some blueberries, strawberries, pineapple juice, and toothpaste, mouthwash, shaving cream, body lotion\"\n17931,2015/04/24,I did running on 2015/04/24.,I did running on 2015/04/24.\n17932,2015/04/24,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n17933,2015/04/24,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n17934,2015/04/24,I ate sandwich for dinner.,I ate sandwich for dinner.\n17935,2015/04/24,\"I spent 18 talking to Nevaeh, Lydia, Claire, Kinsley on various topics in the morning.\",\"I spent 18 talking to Nevaeh, Lydia, Claire, Kinsley on various topics in the morning.\"\n17936,2015/04/24,I talked to Avery for 53 minutes in the morning.,I talked to Avery for 53 minutes in the morning.\n17937,2015/04/24,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n17938,2015/04/24,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n17939,2015/04/25,I did HIIT on 2015/04/25.,I did HIIT on 2015/04/25.\n17940,2015/04/25,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17941,2015/04/25,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n17942,2015/04/25,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n17943,2015/04/25,\"I spent 11 talking to Kinsley, Piper on various topics in the early afternoon.\",\"I spent 11 talking to Kinsley, Piper on various topics in the early afternoon.\"\n17944,2015/04/25,\"I spent 24 talking to Rylee, Eva on various topics during lunch hours.\",\"I spent 24 talking to Rylee, Eva on various topics during lunch hours.\"\n17945,2015/04/25,\"I spent 46 talking to Rylee, Hazel on various topics in the early afternoon.\",\"I spent 46 talking to Rylee, Hazel on various topics in the early afternoon.\"\n17946,2015/04/25,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n17947,2015/04/25,I watched a documentary for 55 minutes on TV today.,I watched a documentary for 55 minutes on TV today.\n17948,2015/04/26,I went on a date with Hannah on 2015/04/26 at a restaurant,I went on a date with Hannah on 2015/04/26 at a restaurant\n17949,2015/04/26,I did biking on 2015/04/26.,I did biking on 2015/04/26.\n17950,2015/04/26,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n17951,2015/04/26,\"I had indian food for lunch with Benjamin, Willow, Jackson, Avery\",\"I had indian food for lunch with Benjamin, Willow, Jackson, Avery\"\n17952,2015/04/26,\"I had sandwich for dinner with Piper, Nora, Piper, Hazel, Nevaeh, Avery, Layla, Rylee, Eva, Lydia, Kinsley, Claire, Olivia\",\"I had sandwich for dinner with Piper, Nora, Piper, Hazel, Nevaeh, Avery, Layla, Rylee, Eva, Lydia, Kinsley, Claire, Olivia\"\n17953,2015/04/26,\"I spent 35 talking to Olivia, Piper, Piper on various topics in the late afternoon.\",\"I spent 35 talking to Olivia, Piper, Piper on various topics in the late afternoon.\"\n17954,2015/04/26,\"I spent 32 talking to Nevaeh, Rylee on various topics in the early afternoon.\",\"I spent 32 talking to Nevaeh, Rylee on various topics in the early afternoon.\"\n17955,2015/04/26,\"I spent 30 talking to Lydia, Rylee on various topics late in the evening.\",\"I spent 30 talking to Lydia, Rylee on various topics late in the evening.\"\n17956,2015/04/26,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n17957,2015/04/26,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n17958,2015/04/27,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n17959,2015/04/27,\"I had a burger for lunch with Andrew, Kayden, Emily, Carter\",\"I had a burger for lunch with Andrew, Kayden, Emily, Carter\"\n17960,2015/04/27,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n17961,2015/04/27,I spent 32 talking to Olivia on various topics in the early evening.,I spent 32 talking to Olivia on various topics in the early evening.\n17962,2015/04/27,I spent 17 talking to Piper on various topics in the early afternoon.,I spent 17 talking to Piper on various topics in the early afternoon.\n17963,2015/04/27,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n17964,2015/04/27,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n17965,2015/04/28,\"I bought some apples, mangos, blackberries, tea, toothpaste online.\",\"I bought some apples, mangos, blackberries, tea, toothpaste online.\"\n17966,2015/04/28,I did hiking on 2015/04/28.,I did hiking on 2015/04/28.\n17967,2015/04/28,\"I had pancakes for breakfast with Lydia, Nevaeh, Layla, Hazel, Avery, Kinsley, Claire, Rylee, Piper, Olivia\",\"I had pancakes for breakfast with Lydia, Nevaeh, Layla, Hazel, Avery, Kinsley, Claire, Rylee, Piper, Olivia\"\n17968,2015/04/28,I prepare sushi for lunch.,I prepare sushi for lunch.\n17969,2015/04/28,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n17970,2015/04/28,I spent 53 talking to Eva on various topics during lunch hours.,I spent 53 talking to Eva on various topics during lunch hours.\n17971,2015/04/28,\"I talked to Avery, Piper, Claire for 7 minutes in the late afternoon.\",\"I talked to Avery, Piper, Claire for 7 minutes in the late afternoon.\"\n17972,2015/04/28,\"I talked to Hazel, Rylee for 6 minutes during lunch hours.\",\"I talked to Hazel, Rylee for 6 minutes during lunch hours.\"\n17973,2015/04/28,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n17974,2015/04/28,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n17975,2015/04/29,I did weight lifting on 2015/04/29.,I did weight lifting on 2015/04/29.\n17976,2015/04/29,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n17977,2015/04/29,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n17978,2015/04/29,I prepare tacos for dinner.,I prepare tacos for dinner.\n17979,2015/04/29,\"I spent 10 talking to Lydia, Piper, Kinsley, Claire on various topics in the morning.\",\"I spent 10 talking to Lydia, Piper, Kinsley, Claire on various topics in the morning.\"\n17980,2015/04/29,I talked to Eva for 34 minutes during lunch hours.,I talked to Eva for 34 minutes during lunch hours.\n17981,2015/04/29,\"I talked to Nora, Piper, Claire for 50 minutes in the early afternoon.\",\"I talked to Nora, Piper, Claire for 50 minutes in the early afternoon.\"\n17982,2015/04/29,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n17983,2015/04/29,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n17984,2015/04/30,\"I entertained Olivia, Eva, Lydia at my place on 2015/04/30 and bake cheater’s mini rhubarb galettes\",\"I entertained Olivia, Eva, Lydia at my place on 2015/04/30 and bake cheater’s mini rhubarb galettes\"\n17985,2015/04/30,I did running on 2015/04/30.,I did running on 2015/04/30.\n17986,2015/04/30,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n17987,2015/04/30,I had lunch. I ate steak.,I had lunch. I ate steak.\n17988,2015/04/30,I ate sushi for dinner.,I ate sushi for dinner.\n17989,2015/04/30,I talked to Layla for 53 minutes in the late afternoon.,I talked to Layla for 53 minutes in the late afternoon.\n17990,2015/04/30,\"I spent 45 talking to Layla, Nevaeh on various topics in the late afternoon.\",\"I spent 45 talking to Layla, Nevaeh on various topics in the late afternoon.\"\n17991,2015/04/30,I spent 19 talking to Olivia on various topics in the morning.,I spent 19 talking to Olivia on various topics in the morning.\n17992,2015/04/30,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n17993,2015/04/30,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n17994,2015/05/01,I did hiking on 2015/05/01.,I did hiking on 2015/05/01.\n17995,2015/05/01,\"I had breakfast with Jackson, Avery, Willow, Benjamin. I ate peanut-butter-jam.\",\"I had breakfast with Jackson, Avery, Willow, Benjamin. I ate peanut-butter-jam.\"\n17996,2015/05/01,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n17997,2015/05/01,I had dinner with Eva. I ate chinese food.,I had dinner with Eva. I ate chinese food.\n17998,2015/05/01,\"I spent 20 talking to Piper, Nora on various topics in the morning.\",\"I spent 20 talking to Piper, Nora on various topics in the morning.\"\n17999,2015/05/01,\"I spent 31 talking to Layla, Claire, Piper on various topics in the late afternoon.\",\"I spent 31 talking to Layla, Claire, Piper on various topics in the late afternoon.\"\n18000,2015/05/01,I spent 41 talking to Piper on various topics in the early evening.,I spent 41 talking to Piper on various topics in the early evening.\n18001,2015/05/01,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n18002,2015/05/01,I spent 27 minutes watching a movie on TV today.,I spent 27 minutes watching a movie on TV today.\n18003,2015/05/02,I spent some time working out on 2015/05/02.,I spent some time working out on 2015/05/02.\n18004,2015/05/02,\"I bought some blackberries, clementines, mango juice, chocolate milk, soda, guava juice, shampoo, toothpaste, shaving cream online.\",\"I bought some blackberries, clementines, mango juice, chocolate milk, soda, guava juice, shampoo, toothpaste, shaving cream online.\"\n18005,2015/05/02,I did biking on 2015/05/02.,I did biking on 2015/05/02.\n18006,2015/05/02,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n18007,2015/05/02,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n18008,2015/05/02,I ate steak for dinner.,I ate steak for dinner.\n18009,2015/05/02,\"I talked to Piper, Layla, Rylee, Eva for 11 minutes during lunch hours.\",\"I talked to Piper, Layla, Rylee, Eva for 11 minutes during lunch hours.\"\n18010,2015/05/02,\"I talked to Piper, Eva for 51 minutes in the early evening.\",\"I talked to Piper, Eva for 51 minutes in the early evening.\"\n18011,2015/05/02,\"I talked to Piper, Claire, Olivia for 30 minutes late in the evening.\",\"I talked to Piper, Claire, Olivia for 30 minutes late in the evening.\"\n18012,2015/05/02,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n18013,2015/05/02,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n18014,2015/05/03,I did HIIT on 2015/05/03.,I did HIIT on 2015/05/03.\n18015,2015/05/03,\"I had breakfast with Layla, Nevaeh, Olivia, Eva, Avery, Claire, Piper, Nora, Piper, Lydia, Kinsley. I ate oatmeal.\",\"I had breakfast with Layla, Nevaeh, Olivia, Eva, Avery, Claire, Piper, Nora, Piper, Lydia, Kinsley. I ate oatmeal.\"\n18016,2015/05/03,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n18017,2015/05/03,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n18018,2015/05/03,I spent 48 talking to Avery on various topics in the early afternoon.,I spent 48 talking to Avery on various topics in the early afternoon.\n18019,2015/05/03,\"I spent 53 talking to Eva, Hazel, Lydia on various topics late in the evening.\",\"I spent 53 talking to Eva, Hazel, Lydia on various topics late in the evening.\"\n18020,2015/05/03,\"I spent 33 talking to Rylee, Avery on various topics in the morning.\",\"I spent 33 talking to Rylee, Avery on various topics in the morning.\"\n18021,2015/05/03,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n18022,2015/05/03,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n18023,2015/05/04,\"On 2015/05/04, I took Thomas on a date to a coffee Shop\",\"On 2015/05/04, I took Thomas on a date to a coffee Shop\"\n18024,2015/05/04,\"I went grocery shopping with Nora, Eva, Claire, Olivia, Kinsley, Lydia, Piper, Rylee, Piper, Nevaeh. I bought some peaches, watermelons, mandarins, blueberries, pineapple juice, coffee, and mouth wash, paper towel\",\"I went grocery shopping with Nora, Eva, Claire, Olivia, Kinsley, Lydia, Piper, Rylee, Piper, Nevaeh. I bought some peaches, watermelons, mandarins, blueberries, pineapple juice, coffee, and mouth wash, paper towel\"\n18025,2015/05/04,\"I had breakfast with Avery, Willow, Jackson, Benjamin. I ate pancakes.\",\"I had breakfast with Avery, Willow, Jackson, Benjamin. I ate pancakes.\"\n18026,2015/05/04,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n18027,2015/05/04,I ate sushi for dinner.,I ate sushi for dinner.\n18028,2015/05/04,\"I talked to Eva, Lydia, Claire, Kinsley for 53 minutes in the morning.\",\"I talked to Eva, Lydia, Claire, Kinsley for 53 minutes in the morning.\"\n18029,2015/05/04,\"I talked to Rylee, Kinsley, Piper, Piper for 43 minutes in the late afternoon.\",\"I talked to Rylee, Kinsley, Piper, Piper for 43 minutes in the late afternoon.\"\n18030,2015/05/04,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n18031,2015/05/04,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n18032,2015/05/05,I did weight lifting on 2015/05/05.,I did weight lifting on 2015/05/05.\n18033,2015/05/05,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n18034,2015/05/05,\"I had lunch with Carter, Kayden, Andrew. I ate indian food.\",\"I had lunch with Carter, Kayden, Andrew. I ate indian food.\"\n18035,2015/05/05,\"I had tacos for dinner with Carter, Emily, Andrew, Kayden\",\"I had tacos for dinner with Carter, Emily, Andrew, Kayden\"\n18036,2015/05/05,\"I spent 29 talking to Eva, Claire, Kinsley, Rylee on various topics late in the evening.\",\"I spent 29 talking to Eva, Claire, Kinsley, Rylee on various topics late in the evening.\"\n18037,2015/05/05,\"I talked to Eva, Lydia, Layla for 48 minutes late in the evening.\",\"I talked to Eva, Lydia, Layla for 48 minutes late in the evening.\"\n18038,2015/05/05,I spent 12 talking to Piper on various topics in the late afternoon.,I spent 12 talking to Piper on various topics in the late afternoon.\n18039,2015/05/05,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n18040,2015/05/05,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n18041,2015/05/06,I did HIIT on 2015/05/06.,I did HIIT on 2015/05/06.\n18042,2015/05/06,I ate cereals for breakfast.,I ate cereals for breakfast.\n18043,2015/05/06,I ate steak for lunch.,I ate steak for lunch.\n18044,2015/05/06,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n18045,2015/05/06,\"I spent 5 talking to Nevaeh, Rylee, Eva, Nora on various topics late in the evening.\",\"I spent 5 talking to Nevaeh, Rylee, Eva, Nora on various topics late in the evening.\"\n18046,2015/05/06,\"I spent 44 talking to Layla, Nora, Lydia on various topics in the morning.\",\"I spent 44 talking to Layla, Nora, Lydia on various topics in the morning.\"\n18047,2015/05/06,I talked to Avery for 45 minutes late in the evening.,I talked to Avery for 45 minutes late in the evening.\n18048,2015/05/06,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n18049,2015/05/06,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n18050,2015/05/07,\"On 2015/05/07, I took Madeline on a date to a coffee Shop\",\"On 2015/05/07, I took Madeline on a date to a coffee Shop\"\n18051,2015/05/07,I really enjoyed gardening on 2015/05/07,I really enjoyed gardening on 2015/05/07\n18052,2015/05/07,\"I went grocery shopping with Andrew. I bought some strawberries, apples, blackberries, cherres, tea, and facial wash\",\"I went grocery shopping with Andrew. I bought some strawberries, apples, blackberries, cherres, tea, and facial wash\"\n18053,2015/05/07,I did swimming on 2015/05/07.,I did swimming on 2015/05/07.\n18054,2015/05/07,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n18055,2015/05/07,I prepare steak for lunch.,I prepare steak for lunch.\n18056,2015/05/07,I prepare a burger for dinner.,I prepare a burger for dinner.\n18057,2015/05/07,\"I spent 25 talking to Kinsley, Olivia on various topics in the late afternoon.\",\"I spent 25 talking to Kinsley, Olivia on various topics in the late afternoon.\"\n18058,2015/05/07,\"I spent 25 talking to Piper, Avery, Rylee, Piper on various topics in the late afternoon.\",\"I spent 25 talking to Piper, Avery, Rylee, Piper on various topics in the late afternoon.\"\n18059,2015/05/07,\"I talked to Piper, Piper for 48 minutes in the early evening.\",\"I talked to Piper, Piper for 48 minutes in the early evening.\"\n18060,2015/05/07,\"I talked to Nevaeh, Lydia, Olivia, Kinsley for 15 minutes in the early afternoon.\",\"I talked to Nevaeh, Lydia, Olivia, Kinsley for 15 minutes in the early afternoon.\"\n18061,2015/05/07,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n18062,2015/05/07,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n18063,2015/05/08,I did hiking on 2015/05/08.,I did hiking on 2015/05/08.\n18064,2015/05/08,\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate eggs, sausages, and bread.\"\n18065,2015/05/08,I prepare indian food for lunch.,I prepare indian food for lunch.\n18066,2015/05/08,\"I had pasta for dinner with Layla, Piper, Claire, Hazel, Nora, Olivia, Piper, Eva, Lydia, Rylee, Avery, Kinsley\",\"I had pasta for dinner with Layla, Piper, Claire, Hazel, Nora, Olivia, Piper, Eva, Lydia, Rylee, Avery, Kinsley\"\n18067,2015/05/08,\"I spent 55 talking to Avery, Claire, Lydia on various topics in the late afternoon.\",\"I spent 55 talking to Avery, Claire, Lydia on various topics in the late afternoon.\"\n18068,2015/05/08,\"I talked to Avery, Hazel, Nora for 43 minutes during lunch hours.\",\"I talked to Avery, Hazel, Nora for 43 minutes during lunch hours.\"\n18069,2015/05/08,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n18070,2015/05/08,I watched news for 29 minutes on TV today.,I watched news for 29 minutes on TV today.\n18071,2015/05/09,I did biking on 2015/05/09.,I did biking on 2015/05/09.\n18072,2015/05/09,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n18073,2015/05/09,I had sandwich for lunch with Andrew,I had sandwich for lunch with Andrew\n18074,2015/05/09,\"I had chinese food for dinner with Hazel, Avery, Layla, Lydia, Nora, Nevaeh, Claire, Rylee, Kinsley, Eva, Piper\",\"I had chinese food for dinner with Hazel, Avery, Layla, Lydia, Nora, Nevaeh, Claire, Rylee, Kinsley, Eva, Piper\"\n18075,2015/05/09,\"I spent 5 talking to Nevaeh, Avery, Nora on various topics during lunch hours.\",\"I spent 5 talking to Nevaeh, Avery, Nora on various topics during lunch hours.\"\n18076,2015/05/09,\"I talked to Kinsley, Piper for 28 minutes during lunch hours.\",\"I talked to Kinsley, Piper for 28 minutes during lunch hours.\"\n18077,2015/05/09,I spent 52 talking to Claire on various topics in the morning.,I spent 52 talking to Claire on various topics in the morning.\n18078,2015/05/09,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n18079,2015/05/09,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n18080,2015/05/10,I did HIIT on 2015/05/10.,I did HIIT on 2015/05/10.\n18081,2015/05/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n18082,2015/05/10,I ate chinese food for lunch.,I ate chinese food for lunch.\n18083,2015/05/10,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n18084,2015/05/10,\"I spent 29 talking to Avery, Kinsley, Lydia, Layla on various topics in the early evening.\",\"I spent 29 talking to Avery, Kinsley, Lydia, Layla on various topics in the early evening.\"\n18085,2015/05/10,\"I talked to Eva, Nora, Avery, Lydia for 11 minutes late in the evening.\",\"I talked to Eva, Nora, Avery, Lydia for 11 minutes late in the evening.\"\n18086,2015/05/10,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n18087,2015/05/10,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n18088,2015/05/11,\"On 2015/05/11, I took Xavier on a date to a park\",\"On 2015/05/11, I took Xavier on a date to a park\"\n18089,2015/05/11,I did hiking on 2015/05/11.,I did hiking on 2015/05/11.\n18090,2015/05/11,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n18091,2015/05/11,\"I had lunch with Nora, Avery, Layla, Piper, Hazel, Olivia, Claire, Kinsley, Eva, Rylee. I ate pasta.\",\"I had lunch with Nora, Avery, Layla, Piper, Hazel, Olivia, Claire, Kinsley, Eva, Rylee. I ate pasta.\"\n18092,2015/05/11,\"I had fish and chips for dinner with Willow, Jackson, Avery\",\"I had fish and chips for dinner with Willow, Jackson, Avery\"\n18093,2015/05/11,\"I talked to Nora, Avery for 33 minutes in the morning.\",\"I talked to Nora, Avery for 33 minutes in the morning.\"\n18094,2015/05/11,\"I talked to Claire, Nevaeh for 16 minutes late in the evening.\",\"I talked to Claire, Nevaeh for 16 minutes late in the evening.\"\n18095,2015/05/11,\"I talked to Rylee, Avery, Nora for 22 minutes during lunch hours.\",\"I talked to Rylee, Avery, Nora for 22 minutes during lunch hours.\"\n18096,2015/05/11,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n18097,2015/05/11,I watched news for 40 minutes on TV today.,I watched news for 40 minutes on TV today.\n18098,2015/05/12,\"I went grocery shopping with Emily, Andrew, Kayden, Carter. I bought some watermelons, bananas, strawberries, milk, orange juice, sports drinks, chocolate milk, and mouthwash\",\"I went grocery shopping with Emily, Andrew, Kayden, Carter. I bought some watermelons, bananas, strawberries, milk, orange juice, sports drinks, chocolate milk, and mouthwash\"\n18099,2015/05/12,I did swimming on 2015/05/12.,I did swimming on 2015/05/12.\n18100,2015/05/12,I had pancakes for breakfast with Carter,I had pancakes for breakfast with Carter\n18101,2015/05/12,\"I had steak for lunch with Piper, Olivia, Nevaeh, Lydia, Rylee, Eva, Layla, Claire, Piper, Kinsley, Hazel, Avery\",\"I had steak for lunch with Piper, Olivia, Nevaeh, Lydia, Rylee, Eva, Layla, Claire, Piper, Kinsley, Hazel, Avery\"\n18102,2015/05/12,I prepare sushi for dinner.,I prepare sushi for dinner.\n18103,2015/05/12,\"I talked to Rylee, Nevaeh for 17 minutes in the early afternoon.\",\"I talked to Rylee, Nevaeh for 17 minutes in the early afternoon.\"\n18104,2015/05/12,I spent 23 talking to Avery on various topics in the late afternoon.,I spent 23 talking to Avery on various topics in the late afternoon.\n18105,2015/05/12,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n18106,2015/05/12,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n18107,2015/05/13,I did swimming on 2015/05/13.,I did swimming on 2015/05/13.\n18108,2015/05/13,\"I had breakfast with Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper. I ate eggs, sausages, and bread.\"\n18109,2015/05/13,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n18110,2015/05/13,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n18111,2015/05/13,I spent 28 talking to Hazel on various topics during lunch hours.,I spent 28 talking to Hazel on various topics during lunch hours.\n18112,2015/05/13,I spent 21 talking to Claire on various topics in the late afternoon.,I spent 21 talking to Claire on various topics in the late afternoon.\n18113,2015/05/13,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n18114,2015/05/13,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n18115,2015/05/14,I did swimming on 2015/05/14.,I did swimming on 2015/05/14.\n18116,2015/05/14,\"I had toast and cheese for breakfast with Carter, Kayden\",\"I had toast and cheese for breakfast with Carter, Kayden\"\n18117,2015/05/14,I prepare tacos for lunch.,I prepare tacos for lunch.\n18118,2015/05/14,I ate tacos for dinner.,I ate tacos for dinner.\n18119,2015/05/14,\"I spent 22 talking to Piper, Claire, Nevaeh, Lydia on various topics in the early afternoon.\",\"I spent 22 talking to Piper, Claire, Nevaeh, Lydia on various topics in the early afternoon.\"\n18120,2015/05/14,I talked to Layla for 6 minutes during lunch hours.,I talked to Layla for 6 minutes during lunch hours.\n18121,2015/05/14,I talked to Avery for 55 minutes in the early afternoon.,I talked to Avery for 55 minutes in the early afternoon.\n18122,2015/05/14,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n18123,2015/05/14,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n18124,2015/05/15,I did biking on 2015/05/15.,I did biking on 2015/05/15.\n18125,2015/05/15,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n18126,2015/05/15,\"I had lunch with Emily, Andrew, Carter, Kayden. I ate fish and chips.\",\"I had lunch with Emily, Andrew, Carter, Kayden. I ate fish and chips.\"\n18127,2015/05/15,I prepare steak for dinner.,I prepare steak for dinner.\n18128,2015/05/15,\"I talked to Piper, Eva, Hazel for 55 minutes in the late afternoon.\",\"I talked to Piper, Eva, Hazel for 55 minutes in the late afternoon.\"\n18129,2015/05/15,\"I spent 24 talking to Avery, Layla, Rylee on various topics late in the evening.\",\"I spent 24 talking to Avery, Layla, Rylee on various topics late in the evening.\"\n18130,2015/05/15,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n18131,2015/05/15,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n18132,2015/05/16,I did biking on 2015/05/16.,I did biking on 2015/05/16.\n18133,2015/05/16,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n18134,2015/05/16,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n18135,2015/05/16,I ate pasta for dinner.,I ate pasta for dinner.\n18136,2015/05/16,\"I spent 31 talking to Rylee, Layla, Kinsley, Olivia on various topics late in the evening.\",\"I spent 31 talking to Rylee, Layla, Kinsley, Olivia on various topics late in the evening.\"\n18137,2015/05/16,\"I talked to Nevaeh, Piper, Nora for 10 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Nora for 10 minutes in the early afternoon.\"\n18138,2015/05/16,\"I talked to Hazel, Claire, Olivia for 5 minutes in the early evening.\",\"I talked to Hazel, Claire, Olivia for 5 minutes in the early evening.\"\n18139,2015/05/16,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n18140,2015/05/16,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n18141,2015/05/17,\"I bought some blackberries, blueberries, guava, mandarins, sports drinks, apple juice, mineral water, shampoo, toothbrush from the grocery store. I saw Benjamin at the grocery store.\",\"I bought some blackberries, blueberries, guava, mandarins, sports drinks, apple juice, mineral water, shampoo, toothbrush from the grocery store. I saw Benjamin at the grocery store.\"\n18142,2015/05/17,I did swimming on 2015/05/17.,I did swimming on 2015/05/17.\n18143,2015/05/17,I had pancakes for breakfast with Emily,I had pancakes for breakfast with Emily\n18144,2015/05/17,\"I had indian food for lunch with Andrew, Emily\",\"I had indian food for lunch with Andrew, Emily\"\n18145,2015/05/17,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n18146,2015/05/17,\"I talked to Piper, Hazel, Rylee, Nevaeh for 34 minutes in the early evening.\",\"I talked to Piper, Hazel, Rylee, Nevaeh for 34 minutes in the early evening.\"\n18147,2015/05/17,\"I talked to Nora, Hazel, Kinsley for 30 minutes in the early evening.\",\"I talked to Nora, Hazel, Kinsley for 30 minutes in the early evening.\"\n18148,2015/05/17,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n18149,2015/05/17,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n18150,2015/05/18,I did running on 2015/05/18.,I did running on 2015/05/18.\n18151,2015/05/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n18152,2015/05/18,\"I had lunch with Jackson, Benjamin, Willow, Avery. I ate tacos.\",\"I had lunch with Jackson, Benjamin, Willow, Avery. I ate tacos.\"\n18153,2015/05/18,I prepare pasta for dinner.,I prepare pasta for dinner.\n18154,2015/05/18,\"I spent 12 talking to Kinsley, Claire, Piper, Nora on various topics late in the evening.\",\"I spent 12 talking to Kinsley, Claire, Piper, Nora on various topics late in the evening.\"\n18155,2015/05/18,\"I talked to Olivia, Nora, Layla, Nevaeh for 41 minutes during lunch hours.\",\"I talked to Olivia, Nora, Layla, Nevaeh for 41 minutes during lunch hours.\"\n18156,2015/05/18,\"I talked to Layla, Nora, Piper for 54 minutes during lunch hours.\",\"I talked to Layla, Nora, Piper for 54 minutes during lunch hours.\"\n18157,2015/05/18,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n18158,2015/05/18,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n18159,2015/05/19,\"I spent time meditation on 2015/05/19 with Kinsley, Eva.\",\"I spent time meditation on 2015/05/19 with Kinsley, Eva.\"\n18160,2015/05/19,\"I had pancakes for breakfast with Emily, Andrew\",\"I had pancakes for breakfast with Emily, Andrew\"\n18161,2015/05/19,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n18162,2015/05/19,I prepare indian food for dinner.,I prepare indian food for dinner.\n18163,2015/05/19,\"I talked to Eva, Piper, Olivia for 40 minutes in the early afternoon.\",\"I talked to Eva, Piper, Olivia for 40 minutes in the early afternoon.\"\n18164,2015/05/19,\"I spent 11 talking to Olivia, Lydia, Kinsley on various topics in the early afternoon.\",\"I spent 11 talking to Olivia, Lydia, Kinsley on various topics in the early afternoon.\"\n18165,2015/05/19,\"I talked to Nora, Lydia for 47 minutes in the early evening.\",\"I talked to Nora, Lydia for 47 minutes in the early evening.\"\n18166,2015/05/19,I spent 50 talking to Eva on various topics in the early afternoon.,I spent 50 talking to Eva on various topics in the early afternoon.\n18167,2015/05/19,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n18168,2015/05/19,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n18169,2015/05/20,I did hiking on 2015/05/20.,I did hiking on 2015/05/20.\n18170,2015/05/20,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n18171,2015/05/20,I prepare indian food for lunch.,I prepare indian food for lunch.\n18172,2015/05/20,I had dinner with Carter. I ate chinese food.,I had dinner with Carter. I ate chinese food.\n18173,2015/05/20,I spent 10 talking to Piper on various topics late in the evening.,I spent 10 talking to Piper on various topics late in the evening.\n18174,2015/05/20,\"I spent 41 talking to Rylee, Layla, Kinsley on various topics in the early afternoon.\",\"I spent 41 talking to Rylee, Layla, Kinsley on various topics in the early afternoon.\"\n18175,2015/05/20,I talked to Hazel for 48 minutes during lunch hours.,I talked to Hazel for 48 minutes during lunch hours.\n18176,2015/05/20,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n18177,2015/05/20,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n18178,2015/05/21,I did hiking on 2015/05/21.,I did hiking on 2015/05/21.\n18179,2015/05/21,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n18180,2015/05/21,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n18181,2015/05/21,I ate sandwich for dinner.,I ate sandwich for dinner.\n18182,2015/05/21,\"I talked to Nevaeh, Kinsley, Nora for 10 minutes late in the evening.\",\"I talked to Nevaeh, Kinsley, Nora for 10 minutes late in the evening.\"\n18183,2015/05/21,\"I talked to Eva, Olivia for 37 minutes during lunch hours.\",\"I talked to Eva, Olivia for 37 minutes during lunch hours.\"\n18184,2015/05/21,\"I talked to Rylee, Avery, Claire for 27 minutes late in the evening.\",\"I talked to Rylee, Avery, Claire for 27 minutes late in the evening.\"\n18185,2015/05/21,\"I talked to Nora, Olivia, Rylee, Nevaeh for 52 minutes during lunch hours.\",\"I talked to Nora, Olivia, Rylee, Nevaeh for 52 minutes during lunch hours.\"\n18186,2015/05/21,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n18187,2015/05/21,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n18188,2015/05/22,I did biking on 2015/05/22.,I did biking on 2015/05/22.\n18189,2015/05/22,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n18190,2015/05/22,I ate sushi for lunch.,I ate sushi for lunch.\n18191,2015/05/22,I ate sandwich for dinner.,I ate sandwich for dinner.\n18192,2015/05/22,\"I talked to Piper, Eva for 43 minutes in the morning.\",\"I talked to Piper, Eva for 43 minutes in the morning.\"\n18193,2015/05/22,\"I spent 47 talking to Nevaeh, Hazel, Nora on various topics in the early afternoon.\",\"I spent 47 talking to Nevaeh, Hazel, Nora on various topics in the early afternoon.\"\n18194,2015/05/22,\"I talked to Kinsley, Claire for 35 minutes late in the evening.\",\"I talked to Kinsley, Claire for 35 minutes late in the evening.\"\n18195,2015/05/22,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n18196,2015/05/22,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n18197,2015/05/23,\"I bought some nectarines, sports drinks, tea, coffee, toothbrush, mouth wash from the grocery store. I saw Carter, Kayden at the grocery store.\",\"I bought some nectarines, sports drinks, tea, coffee, toothbrush, mouth wash from the grocery store. I saw Carter, Kayden at the grocery store.\"\n18198,2015/05/23,I did running on 2015/05/23.,I did running on 2015/05/23.\n18199,2015/05/23,I had breakfast with Kayden. I ate peanut-butter-jam.,I had breakfast with Kayden. I ate peanut-butter-jam.\n18200,2015/05/23,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n18201,2015/05/23,\"I had dinner with Nevaeh, Rylee, Olivia, Eva, Lydia, Hazel, Piper, Piper. I ate sushi.\",\"I had dinner with Nevaeh, Rylee, Olivia, Eva, Lydia, Hazel, Piper, Piper. I ate sushi.\"\n18202,2015/05/23,\"I spent 47 talking to Nevaeh, Rylee on various topics in the late afternoon.\",\"I spent 47 talking to Nevaeh, Rylee on various topics in the late afternoon.\"\n18203,2015/05/23,\"I spent 16 talking to Rylee, Olivia on various topics during lunch hours.\",\"I spent 16 talking to Rylee, Olivia on various topics during lunch hours.\"\n18204,2015/05/23,\"I spent 22 talking to Piper, Nevaeh, Layla on various topics in the early afternoon.\",\"I spent 22 talking to Piper, Nevaeh, Layla on various topics in the early afternoon.\"\n18205,2015/05/23,\"I spent 19 talking to Lydia, Eva on various topics late in the evening.\",\"I spent 19 talking to Lydia, Eva on various topics late in the evening.\"\n18206,2015/05/23,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n18207,2015/05/23,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n18208,2015/05/24,I spent time learning a language on 2015/05/24 with Carter.,I spent time learning a language on 2015/05/24 with Carter.\n18209,2015/05/24,I did hiking on 2015/05/24.,I did hiking on 2015/05/24.\n18210,2015/05/24,I ate cereals for breakfast.,I ate cereals for breakfast.\n18211,2015/05/24,I had a burger for lunch with Kayden,I had a burger for lunch with Kayden\n18212,2015/05/24,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n18213,2015/05/24,\"I spent 55 talking to Claire, Kinsley, Olivia on various topics during lunch hours.\",\"I spent 55 talking to Claire, Kinsley, Olivia on various topics during lunch hours.\"\n18214,2015/05/24,\"I spent 52 talking to Olivia, Claire, Hazel, Nora on various topics in the early afternoon.\",\"I spent 52 talking to Olivia, Claire, Hazel, Nora on various topics in the early afternoon.\"\n18215,2015/05/24,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n18216,2015/05/24,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n18217,2015/05/25,\"I really enjoyed cooking chinese broccoli with oyster sauce on 2015/05/25 with Andrew, Emily at my place\",\"I really enjoyed cooking chinese broccoli with oyster sauce on 2015/05/25 with Andrew, Emily at my place\"\n18218,2015/05/25,\"I went grocery shopping. I bought some watermelons, pineapples, guava juice, and shaving cream, mouthwash, paper towel, toothpaste\",\"I went grocery shopping. I bought some watermelons, pineapples, guava juice, and shaving cream, mouthwash, paper towel, toothpaste\"\n18219,2015/05/25,I did biking on 2015/05/25.,I did biking on 2015/05/25.\n18220,2015/05/25,\"I had breakfast with Kinsley, Piper, Olivia. I ate peanut-butter-jam.\",\"I had breakfast with Kinsley, Piper, Olivia. I ate peanut-butter-jam.\"\n18221,2015/05/25,I ate steak for lunch.,I ate steak for lunch.\n18222,2015/05/25,I ate indian food for dinner.,I ate indian food for dinner.\n18223,2015/05/25,I spent 35 talking to Eva on various topics in the late afternoon.,I spent 35 talking to Eva on various topics in the late afternoon.\n18224,2015/05/25,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n18225,2015/05/25,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n18226,2015/05/26,I went on a date with Layla on 2015/05/26 at a boba shop,I went on a date with Layla on 2015/05/26 at a boba shop\n18227,2015/05/26,I did biking on 2015/05/26.,I did biking on 2015/05/26.\n18228,2015/05/26,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n18229,2015/05/26,\"I had lunch with Kayden, Emily, Andrew, Carter. I ate chinese food.\",\"I had lunch with Kayden, Emily, Andrew, Carter. I ate chinese food.\"\n18230,2015/05/26,I prepare steak for dinner.,I prepare steak for dinner.\n18231,2015/05/26,\"I talked to Kinsley, Claire, Nora, Piper for 11 minutes late in the evening.\",\"I talked to Kinsley, Claire, Nora, Piper for 11 minutes late in the evening.\"\n18232,2015/05/26,\"I spent 12 talking to Layla, Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 12 talking to Layla, Piper, Nevaeh on various topics in the early afternoon.\"\n18233,2015/05/26,\"I spent 17 talking to Hazel, Nevaeh on various topics in the early afternoon.\",\"I spent 17 talking to Hazel, Nevaeh on various topics in the early afternoon.\"\n18234,2015/05/26,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n18235,2015/05/26,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n18236,2015/05/27,I did HIIT on 2015/05/27.,I did HIIT on 2015/05/27.\n18237,2015/05/27,\"I had peanut-butter-jam for breakfast with Claire, Layla, Kinsley, Piper, Eva, Nevaeh, Rylee, Avery\",\"I had peanut-butter-jam for breakfast with Claire, Layla, Kinsley, Piper, Eva, Nevaeh, Rylee, Avery\"\n18238,2015/05/27,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n18239,2015/05/27,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n18240,2015/05/27,\"I talked to Nora, Layla, Olivia, Claire for 15 minutes during lunch hours.\",\"I talked to Nora, Layla, Olivia, Claire for 15 minutes during lunch hours.\"\n18241,2015/05/27,\"I spent 38 talking to Kinsley, Hazel, Piper on various topics late in the evening.\",\"I spent 38 talking to Kinsley, Hazel, Piper on various topics late in the evening.\"\n18242,2015/05/27,\"I spent 55 talking to Avery, Layla on various topics in the morning.\",\"I spent 55 talking to Avery, Layla on various topics in the morning.\"\n18243,2015/05/27,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n18244,2015/05/27,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n18245,2015/05/28,\"On 2015/05/28, I took Ruby on a date to a coffee Shop\",\"On 2015/05/28, I took Ruby on a date to a coffee Shop\"\n18246,2015/05/28,\"I went grocery shopping. I bought some raspberries, watermelons, oranges, milk, soda, coffee, and conditioner, toilet paper, paper towel, shaving cream\",\"I went grocery shopping. I bought some raspberries, watermelons, oranges, milk, soda, coffee, and conditioner, toilet paper, paper towel, shaving cream\"\n18247,2015/05/28,\"I had breakfast with Piper, Kinsley, Claire, Avery, Rylee, Nevaeh, Layla, Hazel, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Kinsley, Claire, Avery, Rylee, Nevaeh, Layla, Hazel, Piper. I ate eggs, sausages, and bread.\"\n18248,2015/05/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n18249,2015/05/28,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n18250,2015/05/28,\"I talked to Olivia, Layla, Piper for 32 minutes in the early afternoon.\",\"I talked to Olivia, Layla, Piper for 32 minutes in the early afternoon.\"\n18251,2015/05/28,\"I talked to Lydia, Hazel for 29 minutes in the early evening.\",\"I talked to Lydia, Hazel for 29 minutes in the early evening.\"\n18252,2015/05/28,\"I talked to Nora, Lydia for 5 minutes in the late afternoon.\",\"I talked to Nora, Lydia for 5 minutes in the late afternoon.\"\n18253,2015/05/28,\"I spent 13 talking to Rylee, Olivia, Lydia, Piper on various topics during lunch hours.\",\"I spent 13 talking to Rylee, Olivia, Lydia, Piper on various topics during lunch hours.\"\n18254,2015/05/28,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n18255,2015/05/28,I watched a tv series for 5 minutes on TV today.,I watched a tv series for 5 minutes on TV today.\n18256,2015/05/29,I did hiking on 2015/05/29.,I did hiking on 2015/05/29.\n18257,2015/05/29,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n18258,2015/05/29,I ate chinese food for lunch.,I ate chinese food for lunch.\n18259,2015/05/29,I ate sushi for dinner.,I ate sushi for dinner.\n18260,2015/05/29,\"I talked to Olivia, Hazel for 51 minutes in the early evening.\",\"I talked to Olivia, Hazel for 51 minutes in the early evening.\"\n18261,2015/05/29,\"I spent 28 talking to Avery, Rylee on various topics late in the evening.\",\"I spent 28 talking to Avery, Rylee on various topics late in the evening.\"\n18262,2015/05/29,\"I spent 13 talking to Kinsley, Piper, Lydia on various topics in the late afternoon.\",\"I spent 13 talking to Kinsley, Piper, Lydia on various topics in the late afternoon.\"\n18263,2015/05/29,\"I talked to Layla, Lydia for 29 minutes late in the evening.\",\"I talked to Layla, Lydia for 29 minutes late in the evening.\"\n18264,2015/05/29,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n18265,2015/05/29,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n18266,2015/05/30,I did running on 2015/05/30.,I did running on 2015/05/30.\n18267,2015/05/30,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n18268,2015/05/30,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n18269,2015/05/30,\"I had dinner with Olivia, Rylee, Hazel, Claire, Piper, Eva, Avery, Nora, Kinsley. I ate fish and chips.\",\"I had dinner with Olivia, Rylee, Hazel, Claire, Piper, Eva, Avery, Nora, Kinsley. I ate fish and chips.\"\n18270,2015/05/30,\"I talked to Avery, Claire for 15 minutes late in the evening.\",\"I talked to Avery, Claire for 15 minutes late in the evening.\"\n18271,2015/05/30,\"I spent 20 talking to Piper, Rylee, Olivia, Claire on various topics in the late afternoon.\",\"I spent 20 talking to Piper, Rylee, Olivia, Claire on various topics in the late afternoon.\"\n18272,2015/05/30,I spent 5 talking to Rylee on various topics in the late afternoon.,I spent 5 talking to Rylee on various topics in the late afternoon.\n18273,2015/05/30,\"I talked to Eva, Layla, Piper for 28 minutes in the late afternoon.\",\"I talked to Eva, Layla, Piper for 28 minutes in the late afternoon.\"\n18274,2015/05/30,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n18275,2015/05/30,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n18276,2015/05/31,I did biking on 2015/05/31.,I did biking on 2015/05/31.\n18277,2015/05/31,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n18278,2015/05/31,I had lunch with Jackson. I ate a burger.,I had lunch with Jackson. I ate a burger.\n18279,2015/05/31,\"I had dinner with Kayden, Carter. I ate fish and chips.\",\"I had dinner with Kayden, Carter. I ate fish and chips.\"\n18280,2015/05/31,I spent 49 talking to Nevaeh on various topics late in the evening.,I spent 49 talking to Nevaeh on various topics late in the evening.\n18281,2015/05/31,I spent 39 talking to Piper on various topics during lunch hours.,I spent 39 talking to Piper on various topics during lunch hours.\n18282,2015/05/31,\"I talked to Avery, Eva, Piper for 21 minutes in the early afternoon.\",\"I talked to Avery, Eva, Piper for 21 minutes in the early afternoon.\"\n18283,2015/05/31,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n18284,2015/05/31,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n18285,2015/06/01,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n18286,2015/06/01,I had lunch with Claire. I ate steak.,I had lunch with Claire. I ate steak.\n18287,2015/06/01,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n18288,2015/06/01,I talked to Layla for 33 minutes in the late afternoon.,I talked to Layla for 33 minutes in the late afternoon.\n18289,2015/06/01,\"I spent 48 talking to Lydia, Rylee, Nevaeh, Avery on various topics during lunch hours.\",\"I spent 48 talking to Lydia, Rylee, Nevaeh, Avery on various topics during lunch hours.\"\n18290,2015/06/01,\"I talked to Piper, Rylee, Layla, Nora for 15 minutes during lunch hours.\",\"I talked to Piper, Rylee, Layla, Nora for 15 minutes during lunch hours.\"\n18291,2015/06/01,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n18292,2015/06/01,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n18293,2015/06/02,\"On 2015/06/02, I took Genesis on a date to a coffee Shop\",\"On 2015/06/02, I took Genesis on a date to a coffee Shop\"\n18294,2015/06/02,I did weight lifting on 2015/06/02.,I did weight lifting on 2015/06/02.\n18295,2015/06/02,\"I had breakfast with Kayden, Carter, Emily. I ate pancakes.\",\"I had breakfast with Kayden, Carter, Emily. I ate pancakes.\"\n18296,2015/06/02,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n18297,2015/06/02,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n18298,2015/06/02,\"I talked to Avery, Eva, Claire, Olivia for 12 minutes late in the evening.\",\"I talked to Avery, Eva, Claire, Olivia for 12 minutes late in the evening.\"\n18299,2015/06/02,\"I spent 23 talking to Kinsley, Rylee, Nora, Claire on various topics late in the evening.\",\"I spent 23 talking to Kinsley, Rylee, Nora, Claire on various topics late in the evening.\"\n18300,2015/06/02,\"I spent 40 talking to Olivia, Eva on various topics in the late afternoon.\",\"I spent 40 talking to Olivia, Eva on various topics in the late afternoon.\"\n18301,2015/06/02,\"I spent 46 talking to Lydia, Olivia, Eva, Avery on various topics in the morning.\",\"I spent 46 talking to Lydia, Olivia, Eva, Avery on various topics in the morning.\"\n18302,2015/06/02,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n18303,2015/06/02,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n18304,2015/06/03,\"I went grocery shopping. I bought some bananas, cherres, blueberries, tea, chocolate milk, and toothbrush\",\"I went grocery shopping. I bought some bananas, cherres, blueberries, tea, chocolate milk, and toothbrush\"\n18305,2015/06/03,I did biking on 2015/06/03.,I did biking on 2015/06/03.\n18306,2015/06/03,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n18307,2015/06/03,\"I had lunch with Piper, Nora. I ate sushi.\",\"I had lunch with Piper, Nora. I ate sushi.\"\n18308,2015/06/03,I ate sandwich for dinner.,I ate sandwich for dinner.\n18309,2015/06/03,I spent 53 talking to Piper on various topics in the late afternoon.,I spent 53 talking to Piper on various topics in the late afternoon.\n18310,2015/06/03,I spent 5 talking to Eva on various topics in the early evening.,I spent 5 talking to Eva on various topics in the early evening.\n18311,2015/06/03,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n18312,2015/06/03,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n18313,2015/06/04,I did running on 2015/06/04.,I did running on 2015/06/04.\n18314,2015/06/04,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n18315,2015/06/04,\"I had lunch with Emily, Carter. I ate tacos.\",\"I had lunch with Emily, Carter. I ate tacos.\"\n18316,2015/06/04,I had dinner with Emily. I ate sandwich.,I had dinner with Emily. I ate sandwich.\n18317,2015/06/04,\"I spent 11 talking to Kinsley, Nora, Hazel, Olivia on various topics during lunch hours.\",\"I spent 11 talking to Kinsley, Nora, Hazel, Olivia on various topics during lunch hours.\"\n18318,2015/06/04,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n18319,2015/06/04,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n18320,2015/06/05,I did hiking on 2015/06/05.,I did hiking on 2015/06/05.\n18321,2015/06/05,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n18322,2015/06/05,\"I had steak for lunch with Emily, Carter\",\"I had steak for lunch with Emily, Carter\"\n18323,2015/06/05,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n18324,2015/06/05,\"I talked to Layla, Lydia for 37 minutes in the early evening.\",\"I talked to Layla, Lydia for 37 minutes in the early evening.\"\n18325,2015/06/05,I talked to Rylee for 9 minutes in the morning.,I talked to Rylee for 9 minutes in the morning.\n18326,2015/06/05,I talked to Lydia for 26 minutes late in the evening.,I talked to Lydia for 26 minutes late in the evening.\n18327,2015/06/05,\"I spent 48 talking to Hazel, Nora on various topics late in the evening.\",\"I spent 48 talking to Hazel, Nora on various topics late in the evening.\"\n18328,2015/06/05,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n18329,2015/06/05,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n18330,2015/06/06,I did HIIT on 2015/06/06.,I did HIIT on 2015/06/06.\n18331,2015/06/06,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n18332,2015/06/06,I had chinese food for lunch with Jackson,I had chinese food for lunch with Jackson\n18333,2015/06/06,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n18334,2015/06/06,I spent 16 talking to Nora on various topics in the early evening.,I spent 16 talking to Nora on various topics in the early evening.\n18335,2015/06/06,I spent 11 talking to Claire on various topics late in the evening.,I spent 11 talking to Claire on various topics late in the evening.\n18336,2015/06/06,I spent 18 talking to Hazel on various topics late in the evening.,I spent 18 talking to Hazel on various topics late in the evening.\n18337,2015/06/06,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n18338,2015/06/06,I watched a documentary for 45 minutes on TV today.,I watched a documentary for 45 minutes on TV today.\n18339,2015/06/07,I did weight lifting on 2015/06/07.,I did weight lifting on 2015/06/07.\n18340,2015/06/07,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n18341,2015/06/07,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n18342,2015/06/07,\"I had dinner with Andrew, Kayden. I ate chinese food.\",\"I had dinner with Andrew, Kayden. I ate chinese food.\"\n18343,2015/06/07,\"I talked to Lydia, Nora, Piper for 21 minutes during lunch hours.\",\"I talked to Lydia, Nora, Piper for 21 minutes during lunch hours.\"\n18344,2015/06/07,\"I spent 41 talking to Kinsley, Piper on various topics late in the evening.\",\"I spent 41 talking to Kinsley, Piper on various topics late in the evening.\"\n18345,2015/06/07,I spent 31 talking to Nora on various topics in the early evening.,I spent 31 talking to Nora on various topics in the early evening.\n18346,2015/06/07,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n18347,2015/06/07,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n18348,2015/06/08,\"I went grocery shopping with Claire, Lydia, Hazel, Nevaeh, Layla, Eva. I bought some raspberries, mangos, blackberries, milk, pineapple juice, soda, and facial wash, shaving cream, shampoo, mouth wash\",\"I went grocery shopping with Claire, Lydia, Hazel, Nevaeh, Layla, Eva. I bought some raspberries, mangos, blackberries, milk, pineapple juice, soda, and facial wash, shaving cream, shampoo, mouth wash\"\n18349,2015/06/08,I did HIIT on 2015/06/08.,I did HIIT on 2015/06/08.\n18350,2015/06/08,\"I had eggs, sausages, and bread for breakfast with Jackson, Willow, Avery\",\"I had eggs, sausages, and bread for breakfast with Jackson, Willow, Avery\"\n18351,2015/06/08,I ate sandwich for lunch.,I ate sandwich for lunch.\n18352,2015/06/08,I had dinner with Kinsley. I ate sandwich.,I had dinner with Kinsley. I ate sandwich.\n18353,2015/06/08,\"I spent 47 talking to Eva, Olivia on various topics in the early evening.\",\"I spent 47 talking to Eva, Olivia on various topics in the early evening.\"\n18354,2015/06/08,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n18355,2015/06/08,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n18356,2015/06/09,I did hiking on 2015/06/09.,I did hiking on 2015/06/09.\n18357,2015/06/09,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n18358,2015/06/09,\"I had a burger for lunch with Lydia, Piper\",\"I had a burger for lunch with Lydia, Piper\"\n18359,2015/06/09,\"I had pasta for dinner with Nora, Piper, Kinsley, Olivia, Rylee, Layla, Claire, Avery, Piper, Hazel\",\"I had pasta for dinner with Nora, Piper, Kinsley, Olivia, Rylee, Layla, Claire, Avery, Piper, Hazel\"\n18360,2015/06/09,\"I talked to Rylee, Lydia, Claire, Eva for 13 minutes in the early afternoon.\",\"I talked to Rylee, Lydia, Claire, Eva for 13 minutes in the early afternoon.\"\n18361,2015/06/09,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n18362,2015/06/09,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n18363,2015/06/10,I went on a date with Everleigh on 2015/06/10 at a park,I went on a date with Everleigh on 2015/06/10 at a park\n18364,2015/06/10,I did swimming on 2015/06/10.,I did swimming on 2015/06/10.\n18365,2015/06/10,\"I had breakfast with Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter. I ate eggs, sausages, and bread.\"\n18366,2015/06/10,I ate sandwich for lunch.,I ate sandwich for lunch.\n18367,2015/06/10,\"I had dinner with Emily, Andrew, Carter. I ate a burger.\",\"I had dinner with Emily, Andrew, Carter. I ate a burger.\"\n18368,2015/06/10,\"I spent 19 talking to Avery, Kinsley on various topics in the late afternoon.\",\"I spent 19 talking to Avery, Kinsley on various topics in the late afternoon.\"\n18369,2015/06/10,\"I spent 13 talking to Nora, Claire, Olivia, Lydia on various topics during lunch hours.\",\"I spent 13 talking to Nora, Claire, Olivia, Lydia on various topics during lunch hours.\"\n18370,2015/06/10,\"I talked to Lydia, Nevaeh, Nora for 49 minutes in the late afternoon.\",\"I talked to Lydia, Nevaeh, Nora for 49 minutes in the late afternoon.\"\n18371,2015/06/10,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n18372,2015/06/10,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n18373,2015/06/11,I did weight lifting on 2015/06/11.,I did weight lifting on 2015/06/11.\n18374,2015/06/11,I had breakfast with Carter. I ate peanut-butter-jam.,I had breakfast with Carter. I ate peanut-butter-jam.\n18375,2015/06/11,\"I had lunch with Willow, Avery, Benjamin, Jackson. I ate sandwich.\",\"I had lunch with Willow, Avery, Benjamin, Jackson. I ate sandwich.\"\n18376,2015/06/11,I had dinner with Willow. I ate indian food.,I had dinner with Willow. I ate indian food.\n18377,2015/06/11,\"I talked to Hazel, Rylee, Eva, Nora for 15 minutes in the early afternoon.\",\"I talked to Hazel, Rylee, Eva, Nora for 15 minutes in the early afternoon.\"\n18378,2015/06/11,\"I talked to Rylee, Piper for 20 minutes in the early evening.\",\"I talked to Rylee, Piper for 20 minutes in the early evening.\"\n18379,2015/06/11,\"I spent 45 talking to Claire, Hazel, Lydia on various topics during lunch hours.\",\"I spent 45 talking to Claire, Hazel, Lydia on various topics during lunch hours.\"\n18380,2015/06/11,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n18381,2015/06/11,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n18382,2015/06/12,I did running on 2015/06/12.,I did running on 2015/06/12.\n18383,2015/06/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n18384,2015/06/12,I prepare sushi for lunch.,I prepare sushi for lunch.\n18385,2015/06/12,I prepare sushi for dinner.,I prepare sushi for dinner.\n18386,2015/06/12,I talked to Lydia for 36 minutes during lunch hours.,I talked to Lydia for 36 minutes during lunch hours.\n18387,2015/06/12,\"I talked to Nevaeh, Rylee, Nora, Lydia for 17 minutes in the early afternoon.\",\"I talked to Nevaeh, Rylee, Nora, Lydia for 17 minutes in the early afternoon.\"\n18388,2015/06/12,I talked to Claire for 39 minutes late in the evening.,I talked to Claire for 39 minutes late in the evening.\n18389,2015/06/12,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n18390,2015/06/12,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n18391,2015/06/13,I did weight lifting on 2015/06/13.,I did weight lifting on 2015/06/13.\n18392,2015/06/13,\"I had peanut-butter-jam for breakfast with Emily, Kayden, Carter\",\"I had peanut-butter-jam for breakfast with Emily, Kayden, Carter\"\n18393,2015/06/13,I ate a burger for lunch.,I ate a burger for lunch.\n18394,2015/06/13,\"I had chinese food for dinner with Carter, Andrew, Kayden, Emily\",\"I had chinese food for dinner with Carter, Andrew, Kayden, Emily\"\n18395,2015/06/13,\"I spent 30 talking to Piper, Nora, Rylee, Lydia on various topics late in the evening.\",\"I spent 30 talking to Piper, Nora, Rylee, Lydia on various topics late in the evening.\"\n18396,2015/06/13,\"I spent 5 talking to Lydia, Olivia, Hazel on various topics in the late afternoon.\",\"I spent 5 talking to Lydia, Olivia, Hazel on various topics in the late afternoon.\"\n18397,2015/06/13,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n18398,2015/06/13,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n18399,2015/06/14,I did biking on 2015/06/14.,I did biking on 2015/06/14.\n18400,2015/06/14,\"I had breakfast with Emily, Kayden. I ate pancakes.\",\"I had breakfast with Emily, Kayden. I ate pancakes.\"\n18401,2015/06/14,\"I had lunch with Carter, Emily, Kayden. I ate tacos.\",\"I had lunch with Carter, Emily, Kayden. I ate tacos.\"\n18402,2015/06/14,\"I had dinner with Carter, Kayden, Andrew. I ate tacos.\",\"I had dinner with Carter, Kayden, Andrew. I ate tacos.\"\n18403,2015/06/14,\"I spent 55 talking to Hazel, Nevaeh on various topics during lunch hours.\",\"I spent 55 talking to Hazel, Nevaeh on various topics during lunch hours.\"\n18404,2015/06/14,I spent 50 talking to Nevaeh on various topics in the early afternoon.,I spent 50 talking to Nevaeh on various topics in the early afternoon.\n18405,2015/06/14,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n18406,2015/06/14,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n18407,2015/06/15,\"On 2015/06/15, I took Piper on a date to a coffee Shop\",\"On 2015/06/15, I took Piper on a date to a coffee Shop\"\n18408,2015/06/15,I did weight lifting on 2015/06/15.,I did weight lifting on 2015/06/15.\n18409,2015/06/15,\"I had breakfast with Hazel, Piper, Avery, Piper, Nora, Lydia, Nevaeh, Rylee, Claire, Kinsley. I ate pancakes.\",\"I had breakfast with Hazel, Piper, Avery, Piper, Nora, Lydia, Nevaeh, Rylee, Claire, Kinsley. I ate pancakes.\"\n18410,2015/06/15,I prepare tacos for lunch.,I prepare tacos for lunch.\n18411,2015/06/15,I had chinese food for dinner with Carter,I had chinese food for dinner with Carter\n18412,2015/06/15,\"I talked to Rylee, Olivia for 55 minutes in the morning.\",\"I talked to Rylee, Olivia for 55 minutes in the morning.\"\n18413,2015/06/15,\"I talked to Avery, Hazel, Olivia for 26 minutes in the late afternoon.\",\"I talked to Avery, Hazel, Olivia for 26 minutes in the late afternoon.\"\n18414,2015/06/15,\"I talked to Piper, Eva, Lydia, Avery for 30 minutes in the late afternoon.\",\"I talked to Piper, Eva, Lydia, Avery for 30 minutes in the late afternoon.\"\n18415,2015/06/15,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n18416,2015/06/15,I watched a movie for 12 minutes on TV today.,I watched a movie for 12 minutes on TV today.\n18417,2015/06/16,\"I had breakfast with Layla, Lydia, Eva. I ate eggs, sausages, and bread.\",\"I had breakfast with Layla, Lydia, Eva. I ate eggs, sausages, and bread.\"\n18418,2015/06/16,I prepare steak for lunch.,I prepare steak for lunch.\n18419,2015/06/16,I ate sushi for dinner.,I ate sushi for dinner.\n18420,2015/06/16,\"I spent 36 talking to Piper, Claire, Layla, Hazel on various topics in the early evening.\",\"I spent 36 talking to Piper, Claire, Layla, Hazel on various topics in the early evening.\"\n18421,2015/06/16,I spent 33 talking to Kinsley on various topics in the morning.,I spent 33 talking to Kinsley on various topics in the morning.\n18422,2015/06/16,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n18423,2015/06/16,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n18424,2015/06/17,\"I bought some oranges, blackberries, watermelons, nectarines, mineral water, tea, conditioner online.\",\"I bought some oranges, blackberries, watermelons, nectarines, mineral water, tea, conditioner online.\"\n18425,2015/06/17,I did HIIT on 2015/06/17.,I did HIIT on 2015/06/17.\n18426,2015/06/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n18427,2015/06/17,\"I had lunch with Carter, Emily, Andrew, Kayden. I ate sushi.\",\"I had lunch with Carter, Emily, Andrew, Kayden. I ate sushi.\"\n18428,2015/06/17,I prepare tacos for dinner.,I prepare tacos for dinner.\n18429,2015/06/17,\"I spent 15 talking to Piper, Rylee, Avery, Nora on various topics in the late afternoon.\",\"I spent 15 talking to Piper, Rylee, Avery, Nora on various topics in the late afternoon.\"\n18430,2015/06/17,\"I talked to Nevaeh, Olivia, Rylee for 19 minutes in the early afternoon.\",\"I talked to Nevaeh, Olivia, Rylee for 19 minutes in the early afternoon.\"\n18431,2015/06/17,I talked to Eva for 52 minutes in the early afternoon.,I talked to Eva for 52 minutes in the early afternoon.\n18432,2015/06/17,I spent 50 minutes on a book today.,I spent 50 minutes on a book today.\n18433,2015/06/17,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n18434,2015/06/18,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n18435,2015/06/18,I had lunch. I ate steak.,I had lunch. I ate steak.\n18436,2015/06/18,\"I had pasta for dinner with Kayden, Andrew\",\"I had pasta for dinner with Kayden, Andrew\"\n18437,2015/06/18,I talked to Lydia for 7 minutes during lunch hours.,I talked to Lydia for 7 minutes during lunch hours.\n18438,2015/06/18,\"I spent 14 talking to Rylee, Lydia, Olivia, Kinsley on various topics late in the evening.\",\"I spent 14 talking to Rylee, Lydia, Olivia, Kinsley on various topics late in the evening.\"\n18439,2015/06/18,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n18440,2015/06/18,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n18441,2015/06/19,I did biking on 2015/06/19.,I did biking on 2015/06/19.\n18442,2015/06/19,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n18443,2015/06/19,\"I had lunch with Avery, Jackson, Benjamin, Willow. I ate a burger.\",\"I had lunch with Avery, Jackson, Benjamin, Willow. I ate a burger.\"\n18444,2015/06/19,I had sushi for dinner with Kayden,I had sushi for dinner with Kayden\n18445,2015/06/19,\"I talked to Lydia, Eva, Nora, Hazel for 22 minutes in the late afternoon.\",\"I talked to Lydia, Eva, Nora, Hazel for 22 minutes in the late afternoon.\"\n18446,2015/06/19,\"I talked to Nevaeh, Nora, Lydia for 19 minutes in the early afternoon.\",\"I talked to Nevaeh, Nora, Lydia for 19 minutes in the early afternoon.\"\n18447,2015/06/19,\"I talked to Eva, Nevaeh for 31 minutes in the early afternoon.\",\"I talked to Eva, Nevaeh for 31 minutes in the early afternoon.\"\n18448,2015/06/19,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n18449,2015/06/19,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n18450,2015/06/20,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n18451,2015/06/20,I ate steak for lunch.,I ate steak for lunch.\n18452,2015/06/20,I prepare tacos for dinner.,I prepare tacos for dinner.\n18453,2015/06/20,\"I spent 26 talking to Hazel, Avery on various topics late in the evening.\",\"I spent 26 talking to Hazel, Avery on various topics late in the evening.\"\n18454,2015/06/20,\"I spent 34 talking to Avery, Rylee, Lydia, Nevaeh on various topics in the early evening.\",\"I spent 34 talking to Avery, Rylee, Lydia, Nevaeh on various topics in the early evening.\"\n18455,2015/06/20,\"I spent 39 talking to Kinsley, Lydia, Layla on various topics late in the evening.\",\"I spent 39 talking to Kinsley, Lydia, Layla on various topics late in the evening.\"\n18456,2015/06/20,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n18457,2015/06/20,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n18458,2015/06/21,I did biking on 2015/06/21.,I did biking on 2015/06/21.\n18459,2015/06/21,\"I had eggs, sausages, and bread for breakfast with Emily, Andrew\",\"I had eggs, sausages, and bread for breakfast with Emily, Andrew\"\n18460,2015/06/21,I had lunch. I ate steak.,I had lunch. I ate steak.\n18461,2015/06/21,I ate a burger for dinner.,I ate a burger for dinner.\n18462,2015/06/21,\"I spent 29 talking to Piper, Olivia, Eva on various topics in the early evening.\",\"I spent 29 talking to Piper, Olivia, Eva on various topics in the early evening.\"\n18463,2015/06/21,\"I talked to Olivia, Kinsley, Lydia for 55 minutes during lunch hours.\",\"I talked to Olivia, Kinsley, Lydia for 55 minutes during lunch hours.\"\n18464,2015/06/21,\"I spent 10 talking to Kinsley, Lydia, Nora, Claire on various topics in the morning.\",\"I spent 10 talking to Kinsley, Lydia, Nora, Claire on various topics in the morning.\"\n18465,2015/06/21,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n18466,2015/06/21,I watched a movie for 30 minutes on TV today.,I watched a movie for 30 minutes on TV today.\n18467,2015/06/22,I did HIIT on 2015/06/22.,I did HIIT on 2015/06/22.\n18468,2015/06/22,\"I had breakfast with Eva, Piper, Rylee, Olivia, Nora, Claire, Piper, Layla, Kinsley, Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Eva, Piper, Rylee, Olivia, Nora, Claire, Piper, Layla, Kinsley, Avery. I ate eggs, sausages, and bread.\"\n18469,2015/06/22,\"I had chinese food for lunch with Emily, Carter, Kayden, Andrew\",\"I had chinese food for lunch with Emily, Carter, Kayden, Andrew\"\n18470,2015/06/22,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n18471,2015/06/22,\"I talked to Nora, Lydia, Avery, Olivia for 37 minutes in the morning.\",\"I talked to Nora, Lydia, Avery, Olivia for 37 minutes in the morning.\"\n18472,2015/06/22,I talked to Nora for 11 minutes in the early afternoon.,I talked to Nora for 11 minutes in the early afternoon.\n18473,2015/06/22,I talked to Nora for 46 minutes in the early afternoon.,I talked to Nora for 46 minutes in the early afternoon.\n18474,2015/06/22,I talked to Lydia for 21 minutes in the late afternoon.,I talked to Lydia for 21 minutes in the late afternoon.\n18475,2015/06/22,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n18476,2015/06/22,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n18477,2015/06/23,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n18478,2015/06/23,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n18479,2015/06/23,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n18480,2015/06/23,I talked to Piper for 38 minutes during lunch hours.,I talked to Piper for 38 minutes during lunch hours.\n18481,2015/06/23,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n18482,2015/06/23,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n18483,2015/06/24,\"I went grocery shopping with Willow, Avery, Benjamin, Jackson. I bought some apples, apple juice, mango juice, and toilet paper, facial wash, mouth wash\",\"I went grocery shopping with Willow, Avery, Benjamin, Jackson. I bought some apples, apple juice, mango juice, and toilet paper, facial wash, mouth wash\"\n18484,2015/06/24,I did HIIT on 2015/06/24.,I did HIIT on 2015/06/24.\n18485,2015/06/24,\"I had eggs, sausages, and bread for breakfast with Emily\",\"I had eggs, sausages, and bread for breakfast with Emily\"\n18486,2015/06/24,\"I had tacos for lunch with Emily, Kayden, Carter\",\"I had tacos for lunch with Emily, Kayden, Carter\"\n18487,2015/06/24,I ate indian food for dinner.,I ate indian food for dinner.\n18488,2015/06/24,\"I spent 27 talking to Hazel, Piper, Piper on various topics in the morning.\",\"I spent 27 talking to Hazel, Piper, Piper on various topics in the morning.\"\n18489,2015/06/24,I talked to Nevaeh for 54 minutes late in the evening.,I talked to Nevaeh for 54 minutes late in the evening.\n18490,2015/06/24,\"I spent 14 talking to Claire, Rylee on various topics in the late afternoon.\",\"I spent 14 talking to Claire, Rylee on various topics in the late afternoon.\"\n18491,2015/06/24,\"I talked to Eva, Claire, Layla for 25 minutes late in the evening.\",\"I talked to Eva, Claire, Layla for 25 minutes late in the evening.\"\n18492,2015/06/24,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n18493,2015/06/24,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n18494,2015/06/25,\"I went grocery shopping with Carter, Andrew. I bought some blueberries, peaches, blackberries, mandarins, mango juice, and toothpaste, toothbrush, shampoo\",\"I went grocery shopping with Carter, Andrew. I bought some blueberries, peaches, blackberries, mandarins, mango juice, and toothpaste, toothbrush, shampoo\"\n18495,2015/06/25,I did biking on 2015/06/25.,I did biking on 2015/06/25.\n18496,2015/06/25,\"I had breakfast with Layla, Eva, Nora, Olivia, Rylee, Lydia, Avery, Hazel, Piper, Nevaeh. I ate peanut-butter-jam.\",\"I had breakfast with Layla, Eva, Nora, Olivia, Rylee, Lydia, Avery, Hazel, Piper, Nevaeh. I ate peanut-butter-jam.\"\n18497,2015/06/25,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n18498,2015/06/25,I had dinner. I ate steak.,I had dinner. I ate steak.\n18499,2015/06/25,\"I talked to Lydia, Nora for 41 minutes in the early afternoon.\",\"I talked to Lydia, Nora for 41 minutes in the early afternoon.\"\n18500,2015/06/25,\"I talked to Lydia, Nora, Avery for 36 minutes in the morning.\",\"I talked to Lydia, Nora, Avery for 36 minutes in the morning.\"\n18501,2015/06/25,\"I talked to Olivia, Rylee for 13 minutes during lunch hours.\",\"I talked to Olivia, Rylee for 13 minutes during lunch hours.\"\n18502,2015/06/25,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n18503,2015/06/25,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n18504,2015/06/26,I did hiking on 2015/06/26.,I did hiking on 2015/06/26.\n18505,2015/06/26,\"I had eggs, sausages, and bread for breakfast with Kayden\",\"I had eggs, sausages, and bread for breakfast with Kayden\"\n18506,2015/06/26,I ate pasta for lunch.,I ate pasta for lunch.\n18507,2015/06/26,\"I had sushi for dinner with Olivia, Piper, Lydia, Hazel, Kinsley, Nora, Layla, Rylee, Avery, Nevaeh, Piper\",\"I had sushi for dinner with Olivia, Piper, Lydia, Hazel, Kinsley, Nora, Layla, Rylee, Avery, Nevaeh, Piper\"\n18508,2015/06/26,\"I spent 11 talking to Piper, Piper on various topics in the late afternoon.\",\"I spent 11 talking to Piper, Piper on various topics in the late afternoon.\"\n18509,2015/06/26,\"I talked to Nevaeh, Eva, Nora for 36 minutes late in the evening.\",\"I talked to Nevaeh, Eva, Nora for 36 minutes late in the evening.\"\n18510,2015/06/26,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n18511,2015/06/26,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n18512,2015/06/27,I did hiking on 2015/06/27.,I did hiking on 2015/06/27.\n18513,2015/06/27,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n18514,2015/06/27,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n18515,2015/06/27,\"I had dinner with Layla, Nora, Avery, Lydia, Piper, Hazel, Eva. I ate sushi.\",\"I had dinner with Layla, Nora, Avery, Lydia, Piper, Hazel, Eva. I ate sushi.\"\n18516,2015/06/27,I talked to Nora for 53 minutes in the morning.,I talked to Nora for 53 minutes in the morning.\n18517,2015/06/27,\"I spent 55 talking to Lydia, Avery on various topics in the late afternoon.\",\"I spent 55 talking to Lydia, Avery on various topics in the late afternoon.\"\n18518,2015/06/27,\"I spent 49 talking to Eva, Lydia, Kinsley on various topics in the morning.\",\"I spent 49 talking to Eva, Lydia, Kinsley on various topics in the morning.\"\n18519,2015/06/27,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n18520,2015/06/27,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n18521,2015/06/28,I did weight lifting on 2015/06/28.,I did weight lifting on 2015/06/28.\n18522,2015/06/28,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n18523,2015/06/28,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n18524,2015/06/28,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n18525,2015/06/28,\"I talked to Avery, Piper, Layla, Kinsley for 44 minutes in the early evening.\",\"I talked to Avery, Piper, Layla, Kinsley for 44 minutes in the early evening.\"\n18526,2015/06/28,I spent 28 talking to Piper on various topics in the early afternoon.,I spent 28 talking to Piper on various topics in the early afternoon.\n18527,2015/06/28,I spent 51 talking to Olivia on various topics in the late afternoon.,I spent 51 talking to Olivia on various topics in the late afternoon.\n18528,2015/06/28,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n18529,2015/06/28,I watched a movie for 17 minutes on TV today.,I watched a movie for 17 minutes on TV today.\n18530,2015/06/29,\"I went grocery shopping with Carter, Emily, Andrew, Kayden. I bought some peaches, guava juice, pineapple juice, soda, apple juice, and shampoo, shaving cream, facial wash\",\"I went grocery shopping with Carter, Emily, Andrew, Kayden. I bought some peaches, guava juice, pineapple juice, soda, apple juice, and shampoo, shaving cream, facial wash\"\n18531,2015/06/29,I did swimming on 2015/06/29.,I did swimming on 2015/06/29.\n18532,2015/06/29,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n18533,2015/06/29,\"I had chinese food for lunch with Olivia, Piper, Nora, Layla, Eva, Avery, Hazel\",\"I had chinese food for lunch with Olivia, Piper, Nora, Layla, Eva, Avery, Hazel\"\n18534,2015/06/29,I ate pasta for dinner.,I ate pasta for dinner.\n18535,2015/06/29,\"I spent 49 talking to Rylee, Claire, Olivia on various topics in the early evening.\",\"I spent 49 talking to Rylee, Claire, Olivia on various topics in the early evening.\"\n18536,2015/06/29,\"I talked to Piper, Nevaeh, Claire, Rylee for 21 minutes in the morning.\",\"I talked to Piper, Nevaeh, Claire, Rylee for 21 minutes in the morning.\"\n18537,2015/06/29,\"I talked to Hazel, Avery, Lydia, Piper for 16 minutes during lunch hours.\",\"I talked to Hazel, Avery, Lydia, Piper for 16 minutes during lunch hours.\"\n18538,2015/06/29,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n18539,2015/06/29,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n18540,2015/06/30,I did running on 2015/06/30.,I did running on 2015/06/30.\n18541,2015/06/30,I had breakfast with Piper. I ate oatmeal.,I had breakfast with Piper. I ate oatmeal.\n18542,2015/06/30,I had lunch with Emily. I ate a burger.,I had lunch with Emily. I ate a burger.\n18543,2015/06/30,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n18544,2015/06/30,\"I talked to Nora, Lydia, Kinsley for 23 minutes in the morning.\",\"I talked to Nora, Lydia, Kinsley for 23 minutes in the morning.\"\n18545,2015/06/30,\"I spent 47 talking to Layla, Hazel, Eva, Olivia on various topics in the late afternoon.\",\"I spent 47 talking to Layla, Hazel, Eva, Olivia on various topics in the late afternoon.\"\n18546,2015/06/30,I spent 19 talking to Nora on various topics in the early afternoon.,I spent 19 talking to Nora on various topics in the early afternoon.\n18547,2015/06/30,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n18548,2015/06/30,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n18549,2015/07/01,I went on a date with Jameson on 2015/07/01 at a coffee Shop,I went on a date with Jameson on 2015/07/01 at a coffee Shop\n18550,2015/07/01,I did running on 2015/07/01.,I did running on 2015/07/01.\n18551,2015/07/01,\"I had breakfast with Benjamin, Jackson, Avery. I ate cereals.\",\"I had breakfast with Benjamin, Jackson, Avery. I ate cereals.\"\n18552,2015/07/01,I ate chinese food for lunch.,I ate chinese food for lunch.\n18553,2015/07/01,I ate sushi for dinner.,I ate sushi for dinner.\n18554,2015/07/01,\"I spent 29 talking to Kinsley, Lydia on various topics during lunch hours.\",\"I spent 29 talking to Kinsley, Lydia on various topics during lunch hours.\"\n18555,2015/07/01,\"I talked to Olivia, Claire, Avery for 11 minutes during lunch hours.\",\"I talked to Olivia, Claire, Avery for 11 minutes during lunch hours.\"\n18556,2015/07/01,\"I spent 33 talking to Eva, Claire, Hazel on various topics late in the evening.\",\"I spent 33 talking to Eva, Claire, Hazel on various topics late in the evening.\"\n18557,2015/07/01,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n18558,2015/07/01,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n18559,2015/07/02,I went for an annual physical checkup on 2015/07/02 at the private clinic.,I went for an annual physical checkup on 2015/07/02 at the private clinic.\n18560,2015/07/02,I went on a date with Jeremiah on 2015/07/02 at a coffee Shop,I went on a date with Jeremiah on 2015/07/02 at a coffee Shop\n18561,2015/07/02,\"I went grocery shopping with Olivia, Kinsley, Claire, Rylee, Layla, Hazel, Nevaeh, Piper, Lydia, Piper, Avery, Nora. I bought some guava, cherres, mango juice, guava juice, and mouth wash, toothbrush, mouthwash\",\"I went grocery shopping with Olivia, Kinsley, Claire, Rylee, Layla, Hazel, Nevaeh, Piper, Lydia, Piper, Avery, Nora. I bought some guava, cherres, mango juice, guava juice, and mouth wash, toothbrush, mouthwash\"\n18562,2015/07/02,I did swimming on 2015/07/02.,I did swimming on 2015/07/02.\n18563,2015/07/02,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n18564,2015/07/02,I prepare a burger for lunch.,I prepare a burger for lunch.\n18565,2015/07/02,I ate sushi for dinner.,I ate sushi for dinner.\n18566,2015/07/02,\"I spent 41 talking to Nevaeh, Piper on various topics in the morning.\",\"I spent 41 talking to Nevaeh, Piper on various topics in the morning.\"\n18567,2015/07/02,\"I spent 10 talking to Lydia, Avery on various topics late in the evening.\",\"I spent 10 talking to Lydia, Avery on various topics late in the evening.\"\n18568,2015/07/02,\"I spent 18 talking to Nora, Rylee, Nevaeh, Claire on various topics in the early afternoon.\",\"I spent 18 talking to Nora, Rylee, Nevaeh, Claire on various topics in the early afternoon.\"\n18569,2015/07/02,\"I talked to Olivia, Piper for 21 minutes in the morning.\",\"I talked to Olivia, Piper for 21 minutes in the morning.\"\n18570,2015/07/02,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n18571,2015/07/02,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n18572,2015/07/03,I did running on 2015/07/03.,I did running on 2015/07/03.\n18573,2015/07/03,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n18574,2015/07/03,\"I had tacos for lunch with Andrew, Kayden\",\"I had tacos for lunch with Andrew, Kayden\"\n18575,2015/07/03,\"I had tacos for dinner with Willow, Avery, Benjamin\",\"I had tacos for dinner with Willow, Avery, Benjamin\"\n18576,2015/07/03,I talked to Avery for 7 minutes in the morning.,I talked to Avery for 7 minutes in the morning.\n18577,2015/07/03,\"I spent 53 talking to Eva, Piper, Nora on various topics in the early afternoon.\",\"I spent 53 talking to Eva, Piper, Nora on various topics in the early afternoon.\"\n18578,2015/07/03,\"I talked to Piper, Avery, Nora, Lydia for 8 minutes in the morning.\",\"I talked to Piper, Avery, Nora, Lydia for 8 minutes in the morning.\"\n18579,2015/07/03,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n18580,2015/07/03,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n18581,2015/07/04,I did weight lifting on 2015/07/04.,I did weight lifting on 2015/07/04.\n18582,2015/07/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n18583,2015/07/04,I prepare sushi for lunch.,I prepare sushi for lunch.\n18584,2015/07/04,\"I had dinner with Eva, Piper, Nevaeh, Lydia, Kinsley, Claire, Layla, Rylee, Piper, Olivia, Hazel. I ate indian food.\",\"I had dinner with Eva, Piper, Nevaeh, Lydia, Kinsley, Claire, Layla, Rylee, Piper, Olivia, Hazel. I ate indian food.\"\n18585,2015/07/04,\"I talked to Lydia, Olivia, Nevaeh for 46 minutes in the early afternoon.\",\"I talked to Lydia, Olivia, Nevaeh for 46 minutes in the early afternoon.\"\n18586,2015/07/04,\"I spent 21 talking to Olivia, Piper on various topics in the early afternoon.\",\"I spent 21 talking to Olivia, Piper on various topics in the early afternoon.\"\n18587,2015/07/04,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n18588,2015/07/04,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n18589,2015/07/05,\"I went grocery shopping with Andrew, Carter, Kayden. I bought some peaches, chocolate milk, mango juice, orange juice, mineral water, and toothpaste\",\"I went grocery shopping with Andrew, Carter, Kayden. I bought some peaches, chocolate milk, mango juice, orange juice, mineral water, and toothpaste\"\n18590,2015/07/05,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n18591,2015/07/05,I ate indian food for lunch.,I ate indian food for lunch.\n18592,2015/07/05,I ate steak for dinner.,I ate steak for dinner.\n18593,2015/07/05,\"I spent 29 talking to Lydia, Piper on various topics late in the evening.\",\"I spent 29 talking to Lydia, Piper on various topics late in the evening.\"\n18594,2015/07/05,\"I talked to Nevaeh, Claire, Piper for 18 minutes in the morning.\",\"I talked to Nevaeh, Claire, Piper for 18 minutes in the morning.\"\n18595,2015/07/05,\"I spent 20 talking to Kinsley, Nevaeh, Eva on various topics late in the evening.\",\"I spent 20 talking to Kinsley, Nevaeh, Eva on various topics late in the evening.\"\n18596,2015/07/05,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n18597,2015/07/05,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n18598,2015/07/06,I did biking on 2015/07/06.,I did biking on 2015/07/06.\n18599,2015/07/06,I ate cereals for breakfast.,I ate cereals for breakfast.\n18600,2015/07/06,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n18601,2015/07/06,\"I had indian food for dinner with Emily, Carter, Kayden\",\"I had indian food for dinner with Emily, Carter, Kayden\"\n18602,2015/07/06,\"I talked to Eva, Avery, Lydia, Layla for 40 minutes during lunch hours.\",\"I talked to Eva, Avery, Lydia, Layla for 40 minutes during lunch hours.\"\n18603,2015/07/06,\"I spent 28 talking to Hazel, Rylee on various topics in the morning.\",\"I spent 28 talking to Hazel, Rylee on various topics in the morning.\"\n18604,2015/07/06,\"I talked to Hazel, Kinsley for 49 minutes in the early afternoon.\",\"I talked to Hazel, Kinsley for 49 minutes in the early afternoon.\"\n18605,2015/07/06,\"I talked to Rylee, Lydia, Piper, Eva for 55 minutes in the early afternoon.\",\"I talked to Rylee, Lydia, Piper, Eva for 55 minutes in the early afternoon.\"\n18606,2015/07/06,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n18607,2015/07/06,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n18608,2015/07/07,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n18609,2015/07/07,\"I had a burger for lunch with Lydia, Hazel, Claire, Kinsley, Piper, Rylee\",\"I had a burger for lunch with Lydia, Hazel, Claire, Kinsley, Piper, Rylee\"\n18610,2015/07/07,\"I had sushi for dinner with Avery, Nora, Piper, Lydia, Piper\",\"I had sushi for dinner with Avery, Nora, Piper, Lydia, Piper\"\n18611,2015/07/07,I spent 47 talking to Layla on various topics in the early evening.,I spent 47 talking to Layla on various topics in the early evening.\n18612,2015/07/07,I spent 8 talking to Nevaeh on various topics in the early evening.,I spent 8 talking to Nevaeh on various topics in the early evening.\n18613,2015/07/07,\"I spent 8 talking to Olivia, Layla on various topics in the morning.\",\"I spent 8 talking to Olivia, Layla on various topics in the morning.\"\n18614,2015/07/07,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n18615,2015/07/07,I spent 6 minutes watching a movie on TV today.,I spent 6 minutes watching a movie on TV today.\n18616,2015/07/08,I spent some time gardening on 2015/07/08.,I spent some time gardening on 2015/07/08.\n18617,2015/07/08,I did HIIT on 2015/07/08.,I did HIIT on 2015/07/08.\n18618,2015/07/08,I had cereals for breakfast with Olivia,I had cereals for breakfast with Olivia\n18619,2015/07/08,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n18620,2015/07/08,\"I had a burger for dinner with Piper, Nevaeh, Piper, Olivia, Eva, Lydia, Avery, Hazel, Claire, Kinsley, Rylee\",\"I had a burger for dinner with Piper, Nevaeh, Piper, Olivia, Eva, Lydia, Avery, Hazel, Claire, Kinsley, Rylee\"\n18621,2015/07/08,I talked to Nevaeh for 37 minutes in the early evening.,I talked to Nevaeh for 37 minutes in the early evening.\n18622,2015/07/08,\"I spent 42 talking to Lydia, Rylee on various topics in the early afternoon.\",\"I spent 42 talking to Lydia, Rylee on various topics in the early afternoon.\"\n18623,2015/07/08,\"I spent 32 talking to Kinsley, Eva on various topics in the early afternoon.\",\"I spent 32 talking to Kinsley, Eva on various topics in the early afternoon.\"\n18624,2015/07/08,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n18625,2015/07/08,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n18626,2015/07/09,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n18627,2015/07/09,I ate chinese food for lunch.,I ate chinese food for lunch.\n18628,2015/07/09,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n18629,2015/07/09,\"I spent 19 talking to Avery, Nora, Eva, Piper on various topics in the early evening.\",\"I spent 19 talking to Avery, Nora, Eva, Piper on various topics in the early evening.\"\n18630,2015/07/09,\"I talked to Avery, Claire, Nevaeh, Hazel for 41 minutes in the early evening.\",\"I talked to Avery, Claire, Nevaeh, Hazel for 41 minutes in the early evening.\"\n18631,2015/07/09,I spent 13 talking to Layla on various topics late in the evening.,I spent 13 talking to Layla on various topics late in the evening.\n18632,2015/07/09,\"I talked to Olivia, Eva, Lydia for 49 minutes during lunch hours.\",\"I talked to Olivia, Eva, Lydia for 49 minutes during lunch hours.\"\n18633,2015/07/09,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n18634,2015/07/09,I spent 6 minutes watching a movie on TV today.,I spent 6 minutes watching a movie on TV today.\n18635,2015/07/10,\"I went grocery shopping with Emily, Kayden. I bought some blueberries, milk, tea, coffee, apple juice, and shaving cream, body lotion, mouth wash, shampoo\",\"I went grocery shopping with Emily, Kayden. I bought some blueberries, milk, tea, coffee, apple juice, and shaving cream, body lotion, mouth wash, shampoo\"\n18636,2015/07/10,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n18637,2015/07/10,\"I had lunch with Claire, Rylee, Avery, Olivia, Eva, Lydia, Hazel, Layla, Piper. I ate pasta.\",\"I had lunch with Claire, Rylee, Avery, Olivia, Eva, Lydia, Hazel, Layla, Piper. I ate pasta.\"\n18638,2015/07/10,I prepare pasta for dinner.,I prepare pasta for dinner.\n18639,2015/07/10,\"I talked to Claire, Eva, Hazel, Olivia for 48 minutes in the morning.\",\"I talked to Claire, Eva, Hazel, Olivia for 48 minutes in the morning.\"\n18640,2015/07/10,\"I spent 49 talking to Eva, Piper, Piper on various topics during lunch hours.\",\"I spent 49 talking to Eva, Piper, Piper on various topics during lunch hours.\"\n18641,2015/07/10,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n18642,2015/07/10,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n18643,2015/07/11,I did weight lifting on 2015/07/11.,I did weight lifting on 2015/07/11.\n18644,2015/07/11,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n18645,2015/07/11,I prepare tacos for lunch.,I prepare tacos for lunch.\n18646,2015/07/11,I ate a burger for dinner.,I ate a burger for dinner.\n18647,2015/07/11,\"I spent 10 talking to Lydia, Avery on various topics during lunch hours.\",\"I spent 10 talking to Lydia, Avery on various topics during lunch hours.\"\n18648,2015/07/11,I spent 35 talking to Layla on various topics late in the evening.,I spent 35 talking to Layla on various topics late in the evening.\n18649,2015/07/11,I talked to Layla for 9 minutes in the early evening.,I talked to Layla for 9 minutes in the early evening.\n18650,2015/07/11,\"I spent 35 talking to Rylee, Piper, Piper, Layla on various topics in the late afternoon.\",\"I spent 35 talking to Rylee, Piper, Piper, Layla on various topics in the late afternoon.\"\n18651,2015/07/11,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n18652,2015/07/11,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n18653,2015/07/12,\"I went grocery shopping with Emily, Carter. I bought some pineapples, cherres, blueberries, mandarins, soda, coffee, milk, and toothpaste\",\"I went grocery shopping with Emily, Carter. I bought some pineapples, cherres, blueberries, mandarins, soda, coffee, milk, and toothpaste\"\n18654,2015/07/12,I did weight lifting on 2015/07/12.,I did weight lifting on 2015/07/12.\n18655,2015/07/12,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n18656,2015/07/12,\"I had steak for lunch with Benjamin, Avery, Willow\",\"I had steak for lunch with Benjamin, Avery, Willow\"\n18657,2015/07/12,I prepare pasta for dinner.,I prepare pasta for dinner.\n18658,2015/07/12,\"I talked to Nevaeh, Piper, Layla, Olivia for 30 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Layla, Olivia for 30 minutes in the early afternoon.\"\n18659,2015/07/12,\"I spent 20 talking to Piper, Piper, Hazel, Olivia on various topics in the late afternoon.\",\"I spent 20 talking to Piper, Piper, Hazel, Olivia on various topics in the late afternoon.\"\n18660,2015/07/12,\"I talked to Nora, Lydia, Hazel for 14 minutes in the morning.\",\"I talked to Nora, Lydia, Hazel for 14 minutes in the morning.\"\n18661,2015/07/12,\"I talked to Kinsley, Rylee for 19 minutes in the late afternoon.\",\"I talked to Kinsley, Rylee for 19 minutes in the late afternoon.\"\n18662,2015/07/12,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n18663,2015/07/12,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n18664,2015/07/13,I did swimming on 2015/07/13.,I did swimming on 2015/07/13.\n18665,2015/07/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n18666,2015/07/13,\"I had lunch with Layla, Rylee, Piper, Eva, Kinsley, Avery, Piper, Olivia, Lydia, Hazel, Nora, Nevaeh, Claire. I ate tacos.\",\"I had lunch with Layla, Rylee, Piper, Eva, Kinsley, Avery, Piper, Olivia, Lydia, Hazel, Nora, Nevaeh, Claire. I ate tacos.\"\n18667,2015/07/13,I had dinner with Emily. I ate pasta.,I had dinner with Emily. I ate pasta.\n18668,2015/07/13,I talked to Olivia for 21 minutes in the early evening.,I talked to Olivia for 21 minutes in the early evening.\n18669,2015/07/13,\"I talked to Piper, Avery, Nora for 38 minutes in the morning.\",\"I talked to Piper, Avery, Nora for 38 minutes in the morning.\"\n18670,2015/07/13,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n18671,2015/07/13,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n18672,2015/07/14,I did hiking on 2015/07/14.,I did hiking on 2015/07/14.\n18673,2015/07/14,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n18674,2015/07/14,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n18675,2015/07/14,\"I had sushi for dinner with Nora, Nevaeh, Eva, Olivia, Rylee, Layla, Piper, Avery\",\"I had sushi for dinner with Nora, Nevaeh, Eva, Olivia, Rylee, Layla, Piper, Avery\"\n18676,2015/07/14,I spent 53 talking to Layla on various topics during lunch hours.,I spent 53 talking to Layla on various topics during lunch hours.\n18677,2015/07/14,\"I spent 36 talking to Nevaeh, Claire, Olivia on various topics in the late afternoon.\",\"I spent 36 talking to Nevaeh, Claire, Olivia on various topics in the late afternoon.\"\n18678,2015/07/14,\"I spent 14 talking to Nevaeh, Nora, Hazel, Claire on various topics in the early afternoon.\",\"I spent 14 talking to Nevaeh, Nora, Hazel, Claire on various topics in the early afternoon.\"\n18679,2015/07/14,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n18680,2015/07/14,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n18681,2015/07/15,I did biking on 2015/07/15.,I did biking on 2015/07/15.\n18682,2015/07/15,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n18683,2015/07/15,I ate indian food for lunch.,I ate indian food for lunch.\n18684,2015/07/15,I prepare tacos for dinner.,I prepare tacos for dinner.\n18685,2015/07/15,\"I spent 13 talking to Layla, Nevaeh, Piper on various topics in the late afternoon.\",\"I spent 13 talking to Layla, Nevaeh, Piper on various topics in the late afternoon.\"\n18686,2015/07/15,\"I talked to Nevaeh, Hazel for 22 minutes in the early evening.\",\"I talked to Nevaeh, Hazel for 22 minutes in the early evening.\"\n18687,2015/07/15,\"I spent 51 talking to Avery, Nora, Piper, Kinsley on various topics in the morning.\",\"I spent 51 talking to Avery, Nora, Piper, Kinsley on various topics in the morning.\"\n18688,2015/07/15,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n18689,2015/07/15,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n18690,2015/07/16,I did HIIT on 2015/07/16.,I did HIIT on 2015/07/16.\n18691,2015/07/16,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n18692,2015/07/16,\"I had tacos for lunch with Carter, Kayden, Emily, Andrew\",\"I had tacos for lunch with Carter, Kayden, Emily, Andrew\"\n18693,2015/07/16,I had dinner. I ate steak.,I had dinner. I ate steak.\n18694,2015/07/16,\"I talked to Avery, Piper, Hazel, Lydia for 22 minutes in the late afternoon.\",\"I talked to Avery, Piper, Hazel, Lydia for 22 minutes in the late afternoon.\"\n18695,2015/07/16,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n18696,2015/07/16,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n18697,2015/07/17,I did weight lifting on 2015/07/17.,I did weight lifting on 2015/07/17.\n18698,2015/07/17,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n18699,2015/07/17,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n18700,2015/07/17,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n18701,2015/07/17,\"I talked to Olivia, Kinsley, Piper, Hazel for 25 minutes in the morning.\",\"I talked to Olivia, Kinsley, Piper, Hazel for 25 minutes in the morning.\"\n18702,2015/07/17,I spent 14 talking to Kinsley on various topics in the late afternoon.,I spent 14 talking to Kinsley on various topics in the late afternoon.\n18703,2015/07/17,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n18704,2015/07/17,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n18705,2015/07/18,\"I went grocery shopping with Kayden, Andrew, Emily, Carter. I bought some mangos, peaches, pears, clementines, soda, tea, and toothbrush\",\"I went grocery shopping with Kayden, Andrew, Emily, Carter. I bought some mangos, peaches, pears, clementines, soda, tea, and toothbrush\"\n18706,2015/07/18,I had breakfast with Emily. I ate oatmeal.,I had breakfast with Emily. I ate oatmeal.\n18707,2015/07/18,I ate sandwich for lunch.,I ate sandwich for lunch.\n18708,2015/07/18,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n18709,2015/07/18,\"I spent 11 talking to Lydia, Rylee, Olivia on various topics late in the evening.\",\"I spent 11 talking to Lydia, Rylee, Olivia on various topics late in the evening.\"\n18710,2015/07/18,I spent 47 talking to Olivia on various topics in the morning.,I spent 47 talking to Olivia on various topics in the morning.\n18711,2015/07/18,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n18712,2015/07/18,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n18713,2015/07/19,I did running on 2015/07/19.,I did running on 2015/07/19.\n18714,2015/07/19,I had breakfast with Andrew. I ate toast and cheese.,I had breakfast with Andrew. I ate toast and cheese.\n18715,2015/07/19,I prepare tacos for lunch.,I prepare tacos for lunch.\n18716,2015/07/19,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n18717,2015/07/19,\"I spent 33 talking to Olivia, Kinsley, Layla, Rylee on various topics in the late afternoon.\",\"I spent 33 talking to Olivia, Kinsley, Layla, Rylee on various topics in the late afternoon.\"\n18718,2015/07/19,I talked to Piper for 33 minutes late in the evening.,I talked to Piper for 33 minutes late in the evening.\n18719,2015/07/19,\"I talked to Claire, Olivia, Avery, Nora for 27 minutes in the late afternoon.\",\"I talked to Claire, Olivia, Avery, Nora for 27 minutes in the late afternoon.\"\n18720,2015/07/19,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n18721,2015/07/19,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n18722,2015/07/20,\"I bought some strawberries, peaches, apricots, nectarines, sports drinks, guava juice, coffee, facial wash, conditioner, body lotion online.\",\"I bought some strawberries, peaches, apricots, nectarines, sports drinks, guava juice, coffee, facial wash, conditioner, body lotion online.\"\n18723,2015/07/20,I did running on 2015/07/20.,I did running on 2015/07/20.\n18724,2015/07/20,\"I had peanut-butter-jam for breakfast with Kayden, Emily, Andrew\",\"I had peanut-butter-jam for breakfast with Kayden, Emily, Andrew\"\n18725,2015/07/20,\"I had indian food for lunch with Kayden, Emily, Andrew\",\"I had indian food for lunch with Kayden, Emily, Andrew\"\n18726,2015/07/20,\"I had dinner with Carter, Andrew. I ate sushi.\",\"I had dinner with Carter, Andrew. I ate sushi.\"\n18727,2015/07/20,\"I talked to Lydia, Piper, Avery for 43 minutes in the early afternoon.\",\"I talked to Lydia, Piper, Avery for 43 minutes in the early afternoon.\"\n18728,2015/07/20,\"I spent 42 talking to Piper, Nora, Avery, Rylee on various topics in the early evening.\",\"I spent 42 talking to Piper, Nora, Avery, Rylee on various topics in the early evening.\"\n18729,2015/07/20,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n18730,2015/07/20,I spent 33 minutes watching a movie on TV today.,I spent 33 minutes watching a movie on TV today.\n18731,2015/07/21,I did biking on 2015/07/21.,I did biking on 2015/07/21.\n18732,2015/07/21,\"I had breakfast with Avery, Jackson, Willow, Benjamin. I ate cereals.\",\"I had breakfast with Avery, Jackson, Willow, Benjamin. I ate cereals.\"\n18733,2015/07/21,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n18734,2015/07/21,\"I had dinner with Willow, Jackson. I ate sandwich.\",\"I had dinner with Willow, Jackson. I ate sandwich.\"\n18735,2015/07/21,I talked to Layla for 46 minutes in the late afternoon.,I talked to Layla for 46 minutes in the late afternoon.\n18736,2015/07/21,\"I spent 42 talking to Avery, Kinsley, Claire, Lydia on various topics during lunch hours.\",\"I spent 42 talking to Avery, Kinsley, Claire, Lydia on various topics during lunch hours.\"\n18737,2015/07/21,\"I talked to Rylee, Nevaeh for 31 minutes in the early afternoon.\",\"I talked to Rylee, Nevaeh for 31 minutes in the early afternoon.\"\n18738,2015/07/21,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n18739,2015/07/21,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n18740,2015/07/22,I spent some time gardening on 2015/07/22.,I spent some time gardening on 2015/07/22.\n18741,2015/07/22,\"I had cereals for breakfast with Avery, Willow, Benjamin\",\"I had cereals for breakfast with Avery, Willow, Benjamin\"\n18742,2015/07/22,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n18743,2015/07/22,I ate a burger for dinner.,I ate a burger for dinner.\n18744,2015/07/22,\"I spent 51 talking to Avery, Nora, Kinsley, Piper on various topics in the morning.\",\"I spent 51 talking to Avery, Nora, Kinsley, Piper on various topics in the morning.\"\n18745,2015/07/22,\"I talked to Layla, Kinsley for 37 minutes in the early afternoon.\",\"I talked to Layla, Kinsley for 37 minutes in the early afternoon.\"\n18746,2015/07/22,\"I talked to Rylee, Hazel for 19 minutes in the early evening.\",\"I talked to Rylee, Hazel for 19 minutes in the early evening.\"\n18747,2015/07/22,\"I spent 31 talking to Kinsley, Piper, Hazel, Lydia on various topics during lunch hours.\",\"I spent 31 talking to Kinsley, Piper, Hazel, Lydia on various topics during lunch hours.\"\n18748,2015/07/22,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n18749,2015/07/22,I watched a tv series for 30 minutes on TV today.,I watched a tv series for 30 minutes on TV today.\n18750,2015/07/23,I spent some time gardening on 2015/07/23.,I spent some time gardening on 2015/07/23.\n18751,2015/07/23,I did swimming on 2015/07/23.,I did swimming on 2015/07/23.\n18752,2015/07/23,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n18753,2015/07/23,I ate sandwich for lunch.,I ate sandwich for lunch.\n18754,2015/07/23,\"I had dinner with Piper, Olivia, Nora, Rylee, Kinsley, Nevaeh. I ate steak.\",\"I had dinner with Piper, Olivia, Nora, Rylee, Kinsley, Nevaeh. I ate steak.\"\n18755,2015/07/23,\"I spent 24 talking to Claire, Nora on various topics in the morning.\",\"I spent 24 talking to Claire, Nora on various topics in the morning.\"\n18756,2015/07/23,\"I talked to Piper, Eva, Avery for 42 minutes in the early evening.\",\"I talked to Piper, Eva, Avery for 42 minutes in the early evening.\"\n18757,2015/07/23,I spent 8 talking to Lydia on various topics in the morning.,I spent 8 talking to Lydia on various topics in the morning.\n18758,2015/07/23,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n18759,2015/07/23,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n18760,2015/07/24,I did HIIT on 2015/07/24.,I did HIIT on 2015/07/24.\n18761,2015/07/24,\"I had breakfast with Eva, Piper, Layla, Nevaeh, Nora, Avery, Rylee, Claire. I ate eggs, sausages, and bread.\",\"I had breakfast with Eva, Piper, Layla, Nevaeh, Nora, Avery, Rylee, Claire. I ate eggs, sausages, and bread.\"\n18762,2015/07/24,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n18763,2015/07/24,\"I had dinner with Olivia, Kinsley, Lydia, Hazel, Piper, Claire, Piper, Nevaeh. I ate indian food.\",\"I had dinner with Olivia, Kinsley, Lydia, Hazel, Piper, Claire, Piper, Nevaeh. I ate indian food.\"\n18764,2015/07/24,\"I spent 7 talking to Kinsley, Rylee on various topics in the morning.\",\"I spent 7 talking to Kinsley, Rylee on various topics in the morning.\"\n18765,2015/07/24,\"I talked to Kinsley, Eva for 49 minutes in the early afternoon.\",\"I talked to Kinsley, Eva for 49 minutes in the early afternoon.\"\n18766,2015/07/24,I spent 36 talking to Piper on various topics in the early evening.,I spent 36 talking to Piper on various topics in the early evening.\n18767,2015/07/24,\"I spent 15 talking to Piper, Nora on various topics during lunch hours.\",\"I spent 15 talking to Piper, Nora on various topics during lunch hours.\"\n18768,2015/07/24,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n18769,2015/07/24,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n18770,2015/07/25,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n18771,2015/07/25,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n18772,2015/07/25,\"I had dinner with Avery, Nevaeh, Hazel, Eva, Claire, Lydia, Rylee, Layla, Nora, Piper, Piper, Kinsley. I ate sushi.\",\"I had dinner with Avery, Nevaeh, Hazel, Eva, Claire, Lydia, Rylee, Layla, Nora, Piper, Piper, Kinsley. I ate sushi.\"\n18773,2015/07/25,\"I talked to Olivia, Kinsley, Hazel, Nora for 17 minutes late in the evening.\",\"I talked to Olivia, Kinsley, Hazel, Nora for 17 minutes late in the evening.\"\n18774,2015/07/25,I spent 6 talking to Nevaeh on various topics late in the evening.,I spent 6 talking to Nevaeh on various topics late in the evening.\n18775,2015/07/25,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n18776,2015/07/25,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n18777,2015/07/26,I did HIIT on 2015/07/26.,I did HIIT on 2015/07/26.\n18778,2015/07/26,\"I had breakfast with Emily, Andrew, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew, Carter. I ate peanut-butter-jam.\"\n18779,2015/07/26,I had lunch with Carter. I ate chinese food.,I had lunch with Carter. I ate chinese food.\n18780,2015/07/26,I had dinner with Kayden. I ate sandwich.,I had dinner with Kayden. I ate sandwich.\n18781,2015/07/26,\"I talked to Lydia, Piper for 27 minutes late in the evening.\",\"I talked to Lydia, Piper for 27 minutes late in the evening.\"\n18782,2015/07/26,\"I spent 15 talking to Kinsley, Layla, Piper on various topics late in the evening.\",\"I spent 15 talking to Kinsley, Layla, Piper on various topics late in the evening.\"\n18783,2015/07/26,I spent 25 talking to Nora on various topics in the early afternoon.,I spent 25 talking to Nora on various topics in the early afternoon.\n18784,2015/07/26,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n18785,2015/07/26,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n18786,2015/07/27,\"I bought some peaches, raspberries, blackberries, milk, apple juice, pineapple juice, soda, conditioner, mouth wash online.\",\"I bought some peaches, raspberries, blackberries, milk, apple juice, pineapple juice, soda, conditioner, mouth wash online.\"\n18787,2015/07/27,I did running on 2015/07/27.,I did running on 2015/07/27.\n18788,2015/07/27,\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\"\n18789,2015/07/27,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n18790,2015/07/27,I prepare indian food for dinner.,I prepare indian food for dinner.\n18791,2015/07/27,I talked to Layla for 19 minutes late in the evening.,I talked to Layla for 19 minutes late in the evening.\n18792,2015/07/27,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n18793,2015/07/27,I watched a movie for 17 minutes on TV today.,I watched a movie for 17 minutes on TV today.\n18794,2015/07/28,I did weight lifting on 2015/07/28.,I did weight lifting on 2015/07/28.\n18795,2015/07/28,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n18796,2015/07/28,\"I had lunch with Kayden, Andrew, Carter, Emily. I ate sandwich.\",\"I had lunch with Kayden, Andrew, Carter, Emily. I ate sandwich.\"\n18797,2015/07/28,I ate indian food for dinner.,I ate indian food for dinner.\n18798,2015/07/28,\"I spent 9 talking to Piper, Avery on various topics during lunch hours.\",\"I spent 9 talking to Piper, Avery on various topics during lunch hours.\"\n18799,2015/07/28,\"I spent 54 talking to Olivia, Avery, Rylee, Lydia on various topics in the late afternoon.\",\"I spent 54 talking to Olivia, Avery, Rylee, Lydia on various topics in the late afternoon.\"\n18800,2015/07/28,I talked to Piper for 41 minutes in the late afternoon.,I talked to Piper for 41 minutes in the late afternoon.\n18801,2015/07/28,\"I talked to Lydia, Nora for 22 minutes in the early afternoon.\",\"I talked to Lydia, Nora for 22 minutes in the early afternoon.\"\n18802,2015/07/28,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n18803,2015/07/28,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n18804,2015/07/29,I did running on 2015/07/29.,I did running on 2015/07/29.\n18805,2015/07/29,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n18806,2015/07/29,I had steak for lunch with Lydia,I had steak for lunch with Lydia\n18807,2015/07/29,I ate tacos for dinner.,I ate tacos for dinner.\n18808,2015/07/29,I talked to Nora for 34 minutes in the morning.,I talked to Nora for 34 minutes in the morning.\n18809,2015/07/29,\"I talked to Kinsley, Piper, Hazel, Eva for 8 minutes in the early afternoon.\",\"I talked to Kinsley, Piper, Hazel, Eva for 8 minutes in the early afternoon.\"\n18810,2015/07/29,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n18811,2015/07/29,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n18812,2015/07/30,I did hiking on 2015/07/30.,I did hiking on 2015/07/30.\n18813,2015/07/30,\"I had peanut-butter-jam for breakfast with Hazel, Eva, Layla, Avery, Nevaeh\",\"I had peanut-butter-jam for breakfast with Hazel, Eva, Layla, Avery, Nevaeh\"\n18814,2015/07/30,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n18815,2015/07/30,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n18816,2015/07/30,\"I spent 22 talking to Kinsley, Piper, Nevaeh on various topics during lunch hours.\",\"I spent 22 talking to Kinsley, Piper, Nevaeh on various topics during lunch hours.\"\n18817,2015/07/30,I spent 38 talking to Olivia on various topics late in the evening.,I spent 38 talking to Olivia on various topics late in the evening.\n18818,2015/07/30,I spent 51 talking to Piper on various topics in the early evening.,I spent 51 talking to Piper on various topics in the early evening.\n18819,2015/07/30,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n18820,2015/07/30,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n18821,2015/07/31,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n18822,2015/07/31,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n18823,2015/07/31,I prepare tacos for dinner.,I prepare tacos for dinner.\n18824,2015/07/31,\"I spent 10 talking to Avery, Eva on various topics in the morning.\",\"I spent 10 talking to Avery, Eva on various topics in the morning.\"\n18825,2015/07/31,I talked to Piper for 23 minutes in the morning.,I talked to Piper for 23 minutes in the morning.\n18826,2015/07/31,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n18827,2015/07/31,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n18828,2015/08/01,I did weight lifting on 2015/08/01.,I did weight lifting on 2015/08/01.\n18829,2015/08/01,I had breakfast with Carter. I ate cereals.,I had breakfast with Carter. I ate cereals.\n18830,2015/08/01,I ate tacos for lunch.,I ate tacos for lunch.\n18831,2015/08/01,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n18832,2015/08/01,\"I talked to Rylee, Olivia, Avery, Claire for 16 minutes in the late afternoon.\",\"I talked to Rylee, Olivia, Avery, Claire for 16 minutes in the late afternoon.\"\n18833,2015/08/01,\"I talked to Hazel, Claire, Piper for 45 minutes late in the evening.\",\"I talked to Hazel, Claire, Piper for 45 minutes late in the evening.\"\n18834,2015/08/01,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n18835,2015/08/01,I spent 31 minutes watching a tv series on TV today.,I spent 31 minutes watching a tv series on TV today.\n18836,2015/08/02,I went on a date with Anna on 2015/08/02 at a restaurant,I went on a date with Anna on 2015/08/02 at a restaurant\n18837,2015/08/02,I did swimming on 2015/08/02.,I did swimming on 2015/08/02.\n18838,2015/08/02,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n18839,2015/08/02,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n18840,2015/08/02,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n18841,2015/08/02,\"I spent 42 talking to Layla, Olivia on various topics in the late afternoon.\",\"I spent 42 talking to Layla, Olivia on various topics in the late afternoon.\"\n18842,2015/08/02,\"I spent 22 talking to Olivia, Claire, Piper, Kinsley on various topics in the late afternoon.\",\"I spent 22 talking to Olivia, Claire, Piper, Kinsley on various topics in the late afternoon.\"\n18843,2015/08/02,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n18844,2015/08/02,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n18845,2015/08/03,I did hiking on 2015/08/03.,I did hiking on 2015/08/03.\n18846,2015/08/03,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n18847,2015/08/03,I prepare sushi for lunch.,I prepare sushi for lunch.\n18848,2015/08/03,I ate sandwich for dinner.,I ate sandwich for dinner.\n18849,2015/08/03,\"I talked to Olivia, Nevaeh, Hazel, Avery for 33 minutes during lunch hours.\",\"I talked to Olivia, Nevaeh, Hazel, Avery for 33 minutes during lunch hours.\"\n18850,2015/08/03,\"I talked to Lydia, Layla, Kinsley, Piper for 26 minutes during lunch hours.\",\"I talked to Lydia, Layla, Kinsley, Piper for 26 minutes during lunch hours.\"\n18851,2015/08/03,\"I talked to Layla, Nevaeh, Nora for 6 minutes during lunch hours.\",\"I talked to Layla, Nevaeh, Nora for 6 minutes during lunch hours.\"\n18852,2015/08/03,I spent 54 talking to Hazel on various topics in the morning.,I spent 54 talking to Hazel on various topics in the morning.\n18853,2015/08/03,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n18854,2015/08/03,I watched a documentary for 46 minutes on TV today.,I watched a documentary for 46 minutes on TV today.\n18855,2015/08/04,\"I went grocery shopping with Emily, Andrew, Carter. I bought some peaches, mango juice, and mouthwash, toothpaste\",\"I went grocery shopping with Emily, Andrew, Carter. I bought some peaches, mango juice, and mouthwash, toothpaste\"\n18856,2015/08/04,I did biking on 2015/08/04.,I did biking on 2015/08/04.\n18857,2015/08/04,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n18858,2015/08/04,I ate pasta for lunch.,I ate pasta for lunch.\n18859,2015/08/04,I ate a burger for dinner.,I ate a burger for dinner.\n18860,2015/08/04,I spent 50 talking to Kinsley on various topics late in the evening.,I spent 50 talking to Kinsley on various topics late in the evening.\n18861,2015/08/04,I spent 5 talking to Claire on various topics in the late afternoon.,I spent 5 talking to Claire on various topics in the late afternoon.\n18862,2015/08/04,\"I spent 42 talking to Nevaeh, Lydia, Eva, Claire on various topics in the morning.\",\"I spent 42 talking to Nevaeh, Lydia, Eva, Claire on various topics in the morning.\"\n18863,2015/08/04,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n18864,2015/08/04,I spent 17 minutes watching a tv series on TV today.,I spent 17 minutes watching a tv series on TV today.\n18865,2015/08/05,\"I really enjoyed cooking healthy turkey chili, thai green curry paste on 2015/08/05 with Claire, Nora, Lydia, Rylee at my place\",\"I really enjoyed cooking healthy turkey chili, thai green curry paste on 2015/08/05 with Claire, Nora, Lydia, Rylee at my place\"\n18866,2015/08/05,I did swimming on 2015/08/05.,I did swimming on 2015/08/05.\n18867,2015/08/05,I had pancakes for breakfast with Carter,I had pancakes for breakfast with Carter\n18868,2015/08/05,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n18869,2015/08/05,I ate a burger for dinner.,I ate a burger for dinner.\n18870,2015/08/05,I spent 16 talking to Olivia on various topics in the early afternoon.,I spent 16 talking to Olivia on various topics in the early afternoon.\n18871,2015/08/05,I spent 24 talking to Piper on various topics late in the evening.,I spent 24 talking to Piper on various topics late in the evening.\n18872,2015/08/05,\"I talked to Piper, Claire, Lydia, Rylee for 36 minutes in the morning.\",\"I talked to Piper, Claire, Lydia, Rylee for 36 minutes in the morning.\"\n18873,2015/08/05,\"I spent 51 talking to Lydia, Eva, Kinsley on various topics during lunch hours.\",\"I spent 51 talking to Lydia, Eva, Kinsley on various topics during lunch hours.\"\n18874,2015/08/05,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n18875,2015/08/05,I spent 34 minutes watching a tv series on TV today.,I spent 34 minutes watching a tv series on TV today.\n18876,2015/08/06,I did HIIT on 2015/08/06.,I did HIIT on 2015/08/06.\n18877,2015/08/06,\"I had breakfast with Emily, Kayden, Carter. I ate pancakes.\",\"I had breakfast with Emily, Kayden, Carter. I ate pancakes.\"\n18878,2015/08/06,\"I had pasta for lunch with Willow, Benjamin, Avery\",\"I had pasta for lunch with Willow, Benjamin, Avery\"\n18879,2015/08/06,I ate sushi for dinner.,I ate sushi for dinner.\n18880,2015/08/06,\"I spent 52 talking to Piper, Nevaeh, Hazel, Olivia on various topics during lunch hours.\",\"I spent 52 talking to Piper, Nevaeh, Hazel, Olivia on various topics during lunch hours.\"\n18881,2015/08/06,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n18882,2015/08/06,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n18883,2015/08/07,\"On 2015/08/07, I took Jane on a date to a boba shop\",\"On 2015/08/07, I took Jane on a date to a boba shop\"\n18884,2015/08/07,I did weight lifting on 2015/08/07.,I did weight lifting on 2015/08/07.\n18885,2015/08/07,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n18886,2015/08/07,\"I had fish and chips for lunch with Andrew, Carter\",\"I had fish and chips for lunch with Andrew, Carter\"\n18887,2015/08/07,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n18888,2015/08/07,\"I spent 7 talking to Nevaeh, Piper, Rylee, Hazel on various topics in the morning.\",\"I spent 7 talking to Nevaeh, Piper, Rylee, Hazel on various topics in the morning.\"\n18889,2015/08/07,\"I spent 17 talking to Nevaeh, Hazel on various topics late in the evening.\",\"I spent 17 talking to Nevaeh, Hazel on various topics late in the evening.\"\n18890,2015/08/07,\"I spent 32 talking to Piper, Hazel, Piper on various topics in the early evening.\",\"I spent 32 talking to Piper, Hazel, Piper on various topics in the early evening.\"\n18891,2015/08/07,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n18892,2015/08/07,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n18893,2015/08/08,I spent some time gardening on 2015/08/08.,I spent some time gardening on 2015/08/08.\n18894,2015/08/08,I did weight lifting on 2015/08/08.,I did weight lifting on 2015/08/08.\n18895,2015/08/08,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n18896,2015/08/08,\"I had steak for lunch with Carter, Andrew\",\"I had steak for lunch with Carter, Andrew\"\n18897,2015/08/08,I ate indian food for dinner.,I ate indian food for dinner.\n18898,2015/08/08,\"I talked to Piper, Rylee, Piper, Kinsley for 46 minutes late in the evening.\",\"I talked to Piper, Rylee, Piper, Kinsley for 46 minutes late in the evening.\"\n18899,2015/08/08,\"I talked to Eva, Nora, Hazel for 43 minutes in the early evening.\",\"I talked to Eva, Nora, Hazel for 43 minutes in the early evening.\"\n18900,2015/08/08,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n18901,2015/08/08,I spent 54 minutes watching a movie on TV today.,I spent 54 minutes watching a movie on TV today.\n18902,2015/08/09,\"I went grocery shopping with Willow, Jackson, Avery. I bought some blueberries, peaches, oranges, bananas, orange juice, soda, mango juice, and toothbrush, mouth wash, toothpaste, toilet paper\",\"I went grocery shopping with Willow, Jackson, Avery. I bought some blueberries, peaches, oranges, bananas, orange juice, soda, mango juice, and toothbrush, mouth wash, toothpaste, toilet paper\"\n18903,2015/08/09,I did swimming on 2015/08/09.,I did swimming on 2015/08/09.\n18904,2015/08/09,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n18905,2015/08/09,\"I had lunch with Kayden, Emily. I ate sandwich.\",\"I had lunch with Kayden, Emily. I ate sandwich.\"\n18906,2015/08/09,I prepare steak for dinner.,I prepare steak for dinner.\n18907,2015/08/09,\"I spent 15 talking to Layla, Hazel on various topics in the early afternoon.\",\"I spent 15 talking to Layla, Hazel on various topics in the early afternoon.\"\n18908,2015/08/09,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n18909,2015/08/09,I watched a documentary for 48 minutes on TV today.,I watched a documentary for 48 minutes on TV today.\n18910,2015/08/10,\"I had breakfast with Piper, Nevaeh, Claire. I ate cereals.\",\"I had breakfast with Piper, Nevaeh, Claire. I ate cereals.\"\n18911,2015/08/10,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n18912,2015/08/10,\"I had dinner with Hazel, Lydia, Claire. I ate pasta.\",\"I had dinner with Hazel, Lydia, Claire. I ate pasta.\"\n18913,2015/08/10,\"I spent 18 talking to Avery, Rylee, Piper on various topics in the late afternoon.\",\"I spent 18 talking to Avery, Rylee, Piper on various topics in the late afternoon.\"\n18914,2015/08/10,\"I talked to Nora, Avery for 18 minutes in the early afternoon.\",\"I talked to Nora, Avery for 18 minutes in the early afternoon.\"\n18915,2015/08/10,\"I talked to Nora, Piper, Olivia, Rylee for 26 minutes in the early evening.\",\"I talked to Nora, Piper, Olivia, Rylee for 26 minutes in the early evening.\"\n18916,2015/08/10,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n18917,2015/08/10,I spent 29 minutes watching a documentary on TV today.,I spent 29 minutes watching a documentary on TV today.\n18918,2015/08/11,I did biking on 2015/08/11.,I did biking on 2015/08/11.\n18919,2015/08/11,\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden, Andrew\",\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden, Andrew\"\n18920,2015/08/11,I prepare pasta for lunch.,I prepare pasta for lunch.\n18921,2015/08/11,I prepare indian food for dinner.,I prepare indian food for dinner.\n18922,2015/08/11,\"I talked to Nora, Claire for 35 minutes during lunch hours.\",\"I talked to Nora, Claire for 35 minutes during lunch hours.\"\n18923,2015/08/11,\"I talked to Nora, Avery, Eva for 52 minutes in the early afternoon.\",\"I talked to Nora, Avery, Eva for 52 minutes in the early afternoon.\"\n18924,2015/08/11,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n18925,2015/08/11,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n18926,2015/08/12,I did biking on 2015/08/12.,I did biking on 2015/08/12.\n18927,2015/08/12,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n18928,2015/08/12,\"I had tacos for lunch with Andrew, Emily, Kayden\",\"I had tacos for lunch with Andrew, Emily, Kayden\"\n18929,2015/08/12,I had pasta for dinner with Carter,I had pasta for dinner with Carter\n18930,2015/08/12,\"I spent 12 talking to Piper, Kinsley, Layla on various topics in the late afternoon.\",\"I spent 12 talking to Piper, Kinsley, Layla on various topics in the late afternoon.\"\n18931,2015/08/12,\"I talked to Piper, Claire for 43 minutes in the late afternoon.\",\"I talked to Piper, Claire for 43 minutes in the late afternoon.\"\n18932,2015/08/12,I spent 28 talking to Nora on various topics in the late afternoon.,I spent 28 talking to Nora on various topics in the late afternoon.\n18933,2015/08/12,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n18934,2015/08/12,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n18935,2015/08/13,I did hiking on 2015/08/13.,I did hiking on 2015/08/13.\n18936,2015/08/13,\"I had eggs, sausages, and bread for breakfast with Nora, Kinsley, Hazel, Claire, Olivia, Nevaeh, Rylee, Piper, Layla, Lydia, Piper, Eva\",\"I had eggs, sausages, and bread for breakfast with Nora, Kinsley, Hazel, Claire, Olivia, Nevaeh, Rylee, Piper, Layla, Lydia, Piper, Eva\"\n18937,2015/08/13,\"I had lunch with Carter, Andrew, Kayden, Emily. I ate sandwich.\",\"I had lunch with Carter, Andrew, Kayden, Emily. I ate sandwich.\"\n18938,2015/08/13,I prepare indian food for dinner.,I prepare indian food for dinner.\n18939,2015/08/13,\"I talked to Claire, Piper, Nevaeh for 43 minutes in the early afternoon.\",\"I talked to Claire, Piper, Nevaeh for 43 minutes in the early afternoon.\"\n18940,2015/08/13,\"I talked to Nevaeh, Eva, Claire for 49 minutes in the early evening.\",\"I talked to Nevaeh, Eva, Claire for 49 minutes in the early evening.\"\n18941,2015/08/13,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n18942,2015/08/13,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n18943,2015/08/14,\"I spent time gardening on 2015/08/14 with Kayden, Andrew, Emily.\",\"I spent time gardening on 2015/08/14 with Kayden, Andrew, Emily.\"\n18944,2015/08/14,I did biking on 2015/08/14.,I did biking on 2015/08/14.\n18945,2015/08/14,I ate cereals for breakfast.,I ate cereals for breakfast.\n18946,2015/08/14,\"I had indian food for lunch with Rylee, Kinsley, Nora, Lydia, Olivia, Avery, Piper, Eva, Claire, Layla, Hazel\",\"I had indian food for lunch with Rylee, Kinsley, Nora, Lydia, Olivia, Avery, Piper, Eva, Claire, Layla, Hazel\"\n18947,2015/08/14,\"I had pasta for dinner with Kinsley, Rylee, Claire, Nevaeh, Layla, Hazel, Lydia, Eva, Avery, Nora, Piper, Piper\",\"I had pasta for dinner with Kinsley, Rylee, Claire, Nevaeh, Layla, Hazel, Lydia, Eva, Avery, Nora, Piper, Piper\"\n18948,2015/08/14,\"I talked to Claire, Piper, Olivia, Avery for 22 minutes during lunch hours.\",\"I talked to Claire, Piper, Olivia, Avery for 22 minutes during lunch hours.\"\n18949,2015/08/14,I talked to Nevaeh for 12 minutes late in the evening.,I talked to Nevaeh for 12 minutes late in the evening.\n18950,2015/08/14,\"I spent 19 talking to Olivia, Piper on various topics late in the evening.\",\"I spent 19 talking to Olivia, Piper on various topics late in the evening.\"\n18951,2015/08/14,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n18952,2015/08/14,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n18953,2015/08/15,\"I bought some nectarines, blueberries, soda, toothpaste, paper towel, shampoo from the grocery store. I saw Avery, Jackson at the grocery store.\",\"I bought some nectarines, blueberries, soda, toothpaste, paper towel, shampoo from the grocery store. I saw Avery, Jackson at the grocery store.\"\n18954,2015/08/15,I did weight lifting on 2015/08/15.,I did weight lifting on 2015/08/15.\n18955,2015/08/15,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n18956,2015/08/15,I prepare a burger for lunch.,I prepare a burger for lunch.\n18957,2015/08/15,I ate a burger for dinner.,I ate a burger for dinner.\n18958,2015/08/15,\"I talked to Nora, Kinsley, Olivia, Piper for 38 minutes late in the evening.\",\"I talked to Nora, Kinsley, Olivia, Piper for 38 minutes late in the evening.\"\n18959,2015/08/15,I talked to Hazel for 46 minutes in the late afternoon.,I talked to Hazel for 46 minutes in the late afternoon.\n18960,2015/08/15,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n18961,2015/08/15,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n18962,2015/08/16,I did weight lifting on 2015/08/16.,I did weight lifting on 2015/08/16.\n18963,2015/08/16,\"I had cereals for breakfast with Nora, Piper, Rylee, Lydia\",\"I had cereals for breakfast with Nora, Piper, Rylee, Lydia\"\n18964,2015/08/16,I ate sandwich for lunch.,I ate sandwich for lunch.\n18965,2015/08/16,I prepare steak for dinner.,I prepare steak for dinner.\n18966,2015/08/16,\"I talked to Avery, Eva, Rylee for 53 minutes late in the evening.\",\"I talked to Avery, Eva, Rylee for 53 minutes late in the evening.\"\n18967,2015/08/16,I talked to Nora for 32 minutes during lunch hours.,I talked to Nora for 32 minutes during lunch hours.\n18968,2015/08/16,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n18969,2015/08/16,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n18970,2015/08/17,I did biking on 2015/08/17.,I did biking on 2015/08/17.\n18971,2015/08/17,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n18972,2015/08/17,I prepare a burger for lunch.,I prepare a burger for lunch.\n18973,2015/08/17,I prepare sushi for dinner.,I prepare sushi for dinner.\n18974,2015/08/17,\"I talked to Claire, Lydia, Eva for 42 minutes in the early afternoon.\",\"I talked to Claire, Lydia, Eva for 42 minutes in the early afternoon.\"\n18975,2015/08/17,\"I spent 54 talking to Claire, Rylee on various topics during lunch hours.\",\"I spent 54 talking to Claire, Rylee on various topics during lunch hours.\"\n18976,2015/08/17,\"I spent 48 talking to Piper, Rylee, Olivia, Hazel on various topics late in the evening.\",\"I spent 48 talking to Piper, Rylee, Olivia, Hazel on various topics late in the evening.\"\n18977,2015/08/17,\"I spent 16 talking to Piper, Layla, Olivia, Piper on various topics in the morning.\",\"I spent 16 talking to Piper, Layla, Olivia, Piper on various topics in the morning.\"\n18978,2015/08/17,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n18979,2015/08/17,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n18980,2015/08/18,I went on a date with Wyatt on 2015/08/18 at a restaurant,I went on a date with Wyatt on 2015/08/18 at a restaurant\n18981,2015/08/18,I did hiking on 2015/08/18.,I did hiking on 2015/08/18.\n18982,2015/08/18,\"I had breakfast with Lydia, Hazel, Piper, Olivia, Eva, Avery, Rylee, Nora. I ate cereals.\",\"I had breakfast with Lydia, Hazel, Piper, Olivia, Eva, Avery, Rylee, Nora. I ate cereals.\"\n18983,2015/08/18,\"I had pasta for lunch with Andrew, Carter\",\"I had pasta for lunch with Andrew, Carter\"\n18984,2015/08/18,I ate tacos for dinner.,I ate tacos for dinner.\n18985,2015/08/18,\"I spent 10 talking to Avery, Piper, Rylee on various topics late in the evening.\",\"I spent 10 talking to Avery, Piper, Rylee on various topics late in the evening.\"\n18986,2015/08/18,\"I talked to Piper, Nevaeh, Claire for 19 minutes in the late afternoon.\",\"I talked to Piper, Nevaeh, Claire for 19 minutes in the late afternoon.\"\n18987,2015/08/18,I spent 40 talking to Kinsley on various topics in the early afternoon.,I spent 40 talking to Kinsley on various topics in the early afternoon.\n18988,2015/08/18,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n18989,2015/08/18,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n18990,2015/08/19,\"I went grocery shopping. I bought some mandarins, mangos, sports drinks, milk, chocolate milk, mineral water, and body lotion, mouth wash\",\"I went grocery shopping. I bought some mandarins, mangos, sports drinks, milk, chocolate milk, mineral water, and body lotion, mouth wash\"\n18991,2015/08/19,I did weight lifting on 2015/08/19.,I did weight lifting on 2015/08/19.\n18992,2015/08/19,\"I had breakfast with Piper, Eva, Avery, Nevaeh, Layla, Piper, Hazel, Rylee, Kinsley. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Eva, Avery, Nevaeh, Layla, Piper, Hazel, Rylee, Kinsley. I ate eggs, sausages, and bread.\"\n18993,2015/08/19,\"I had chinese food for lunch with Andrew, Carter\",\"I had chinese food for lunch with Andrew, Carter\"\n18994,2015/08/19,I had dinner with Andrew. I ate steak.,I had dinner with Andrew. I ate steak.\n18995,2015/08/19,\"I talked to Claire, Layla, Olivia, Nora for 35 minutes in the morning.\",\"I talked to Claire, Layla, Olivia, Nora for 35 minutes in the morning.\"\n18996,2015/08/19,\"I talked to Nevaeh, Kinsley, Hazel, Lydia for 43 minutes in the late afternoon.\",\"I talked to Nevaeh, Kinsley, Hazel, Lydia for 43 minutes in the late afternoon.\"\n18997,2015/08/19,\"I talked to Nora, Layla for 21 minutes during lunch hours.\",\"I talked to Nora, Layla for 21 minutes during lunch hours.\"\n18998,2015/08/19,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n18999,2015/08/19,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n19000,2015/08/20,I went for an annual dental cleaning and checkup on 2015/08/20 at the private clinic.,I went for an annual dental cleaning and checkup on 2015/08/20 at the private clinic.\n19001,2015/08/20,I did swimming on 2015/08/20.,I did swimming on 2015/08/20.\n19002,2015/08/20,I ate cereals for breakfast.,I ate cereals for breakfast.\n19003,2015/08/20,\"I had lunch with Olivia, Avery. I ate tacos.\",\"I had lunch with Olivia, Avery. I ate tacos.\"\n19004,2015/08/20,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n19005,2015/08/20,\"I talked to Nora, Piper, Piper for 38 minutes in the late afternoon.\",\"I talked to Nora, Piper, Piper for 38 minutes in the late afternoon.\"\n19006,2015/08/20,I talked to Kinsley for 32 minutes in the late afternoon.,I talked to Kinsley for 32 minutes in the late afternoon.\n19007,2015/08/20,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n19008,2015/08/20,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n19009,2015/08/21,I did weight lifting on 2015/08/21.,I did weight lifting on 2015/08/21.\n19010,2015/08/21,I ate cereals for breakfast.,I ate cereals for breakfast.\n19011,2015/08/21,\"I had a burger for lunch with Nevaeh, Olivia, Piper, Piper, Nora, Hazel, Claire, Kinsley, Rylee\",\"I had a burger for lunch with Nevaeh, Olivia, Piper, Piper, Nora, Hazel, Claire, Kinsley, Rylee\"\n19012,2015/08/21,\"I had sandwich for dinner with Jackson, Willow, Benjamin\",\"I had sandwich for dinner with Jackson, Willow, Benjamin\"\n19013,2015/08/21,\"I spent 29 talking to Avery, Nora, Eva, Nevaeh on various topics in the early afternoon.\",\"I spent 29 talking to Avery, Nora, Eva, Nevaeh on various topics in the early afternoon.\"\n19014,2015/08/21,\"I spent 43 talking to Lydia, Kinsley, Layla, Hazel on various topics in the early afternoon.\",\"I spent 43 talking to Lydia, Kinsley, Layla, Hazel on various topics in the early afternoon.\"\n19015,2015/08/21,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n19016,2015/08/21,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n19017,2015/08/22,\"I bought some blueberries, pears, clementines, coffee, mouthwash, body lotion, toothpaste from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\",\"I bought some blueberries, pears, clementines, coffee, mouthwash, body lotion, toothpaste from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\"\n19018,2015/08/22,I did running on 2015/08/22.,I did running on 2015/08/22.\n19019,2015/08/22,I had oatmeal for breakfast with Emily,I had oatmeal for breakfast with Emily\n19020,2015/08/22,I ate sushi for lunch.,I ate sushi for lunch.\n19021,2015/08/22,I ate sandwich for dinner.,I ate sandwich for dinner.\n19022,2015/08/22,\"I talked to Lydia, Claire for 34 minutes in the early evening.\",\"I talked to Lydia, Claire for 34 minutes in the early evening.\"\n19023,2015/08/22,I talked to Claire for 10 minutes late in the evening.,I talked to Claire for 10 minutes late in the evening.\n19024,2015/08/22,\"I spent 16 talking to Piper, Lydia, Avery, Claire on various topics late in the evening.\",\"I spent 16 talking to Piper, Lydia, Avery, Claire on various topics late in the evening.\"\n19025,2015/08/22,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n19026,2015/08/22,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n19027,2015/08/23,I went on a date with Adeline on 2015/08/23 at a boba shop,I went on a date with Adeline on 2015/08/23 at a boba shop\n19028,2015/08/23,I did hiking on 2015/08/23.,I did hiking on 2015/08/23.\n19029,2015/08/23,\"I had cereals for breakfast with Jackson, Avery, Willow\",\"I had cereals for breakfast with Jackson, Avery, Willow\"\n19030,2015/08/23,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n19031,2015/08/23,I had tacos for dinner with Emily,I had tacos for dinner with Emily\n19032,2015/08/23,\"I spent 5 talking to Layla, Piper, Nevaeh, Avery on various topics late in the evening.\",\"I spent 5 talking to Layla, Piper, Nevaeh, Avery on various topics late in the evening.\"\n19033,2015/08/23,\"I spent 46 talking to Olivia, Avery, Claire on various topics in the late afternoon.\",\"I spent 46 talking to Olivia, Avery, Claire on various topics in the late afternoon.\"\n19034,2015/08/23,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n19035,2015/08/23,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n19036,2015/08/24,\"I bought some watermelons, apple juice, orange juice, conditioner, shaving cream, mouth wash, paper towel from the grocery store. I saw Emily, Andrew at the grocery store.\",\"I bought some watermelons, apple juice, orange juice, conditioner, shaving cream, mouth wash, paper towel from the grocery store. I saw Emily, Andrew at the grocery store.\"\n19037,2015/08/24,I did biking on 2015/08/24.,I did biking on 2015/08/24.\n19038,2015/08/24,I had breakfast with Andrew. I ate cereals.,I had breakfast with Andrew. I ate cereals.\n19039,2015/08/24,I ate pasta for lunch.,I ate pasta for lunch.\n19040,2015/08/24,I had dinner. I ate steak.,I had dinner. I ate steak.\n19041,2015/08/24,\"I talked to Lydia, Kinsley, Piper for 42 minutes in the late afternoon.\",\"I talked to Lydia, Kinsley, Piper for 42 minutes in the late afternoon.\"\n19042,2015/08/24,\"I talked to Avery, Layla for 51 minutes during lunch hours.\",\"I talked to Avery, Layla for 51 minutes during lunch hours.\"\n19043,2015/08/24,\"I talked to Kinsley, Nora for 31 minutes in the early evening.\",\"I talked to Kinsley, Nora for 31 minutes in the early evening.\"\n19044,2015/08/24,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n19045,2015/08/24,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n19046,2015/08/25,I did hiking on 2015/08/25.,I did hiking on 2015/08/25.\n19047,2015/08/25,\"I had breakfast with Emily, Kayden. I ate pancakes.\",\"I had breakfast with Emily, Kayden. I ate pancakes.\"\n19048,2015/08/25,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n19049,2015/08/25,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n19050,2015/08/25,\"I talked to Nora, Kinsley, Avery for 51 minutes in the late afternoon.\",\"I talked to Nora, Kinsley, Avery for 51 minutes in the late afternoon.\"\n19051,2015/08/25,\"I talked to Olivia, Nora for 41 minutes in the late afternoon.\",\"I talked to Olivia, Nora for 41 minutes in the late afternoon.\"\n19052,2015/08/25,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n19053,2015/08/25,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n19054,2015/08/26,I did weight lifting on 2015/08/26.,I did weight lifting on 2015/08/26.\n19055,2015/08/26,I had pancakes for breakfast with Willow,I had pancakes for breakfast with Willow\n19056,2015/08/26,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n19057,2015/08/26,I had dinner. I ate steak.,I had dinner. I ate steak.\n19058,2015/08/26,\"I spent 5 talking to Piper, Layla on various topics in the early evening.\",\"I spent 5 talking to Piper, Layla on various topics in the early evening.\"\n19059,2015/08/26,\"I talked to Rylee, Avery, Claire for 36 minutes during lunch hours.\",\"I talked to Rylee, Avery, Claire for 36 minutes during lunch hours.\"\n19060,2015/08/26,\"I spent 54 talking to Olivia, Piper, Kinsley, Layla on various topics in the late afternoon.\",\"I spent 54 talking to Olivia, Piper, Kinsley, Layla on various topics in the late afternoon.\"\n19061,2015/08/26,\"I talked to Olivia, Piper, Claire for 27 minutes in the morning.\",\"I talked to Olivia, Piper, Claire for 27 minutes in the morning.\"\n19062,2015/08/26,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n19063,2015/08/26,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n19064,2015/08/27,\"On 2015/08/27, I took Ellie on a date to a restaurant\",\"On 2015/08/27, I took Ellie on a date to a restaurant\"\n19065,2015/08/27,I spent some time yoga on 2015/08/27.,I spent some time yoga on 2015/08/27.\n19066,2015/08/27,I did biking on 2015/08/27.,I did biking on 2015/08/27.\n19067,2015/08/27,I had breakfast with Emily. I ate toast and cheese.,I had breakfast with Emily. I ate toast and cheese.\n19068,2015/08/27,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n19069,2015/08/27,\"I had dinner with Benjamin, Willow. I ate chinese food.\",\"I had dinner with Benjamin, Willow. I ate chinese food.\"\n19070,2015/08/27,I talked to Hazel for 41 minutes in the early afternoon.,I talked to Hazel for 41 minutes in the early afternoon.\n19071,2015/08/27,\"I talked to Avery, Eva for 30 minutes in the early afternoon.\",\"I talked to Avery, Eva for 30 minutes in the early afternoon.\"\n19072,2015/08/27,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n19073,2015/08/27,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n19074,2015/08/28,\"I bought some oranges, watermelons, tea, orange juice, body lotion, shampoo, shaving cream from the grocery store. I saw Kinsley, Eva, Hazel, Piper, Claire, Avery, Nora at the grocery store.\",\"I bought some oranges, watermelons, tea, orange juice, body lotion, shampoo, shaving cream from the grocery store. I saw Kinsley, Eva, Hazel, Piper, Claire, Avery, Nora at the grocery store.\"\n19075,2015/08/28,I did HIIT on 2015/08/28.,I did HIIT on 2015/08/28.\n19076,2015/08/28,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n19077,2015/08/28,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n19078,2015/08/28,\"I had dinner with Nora, Kinsley. I ate steak.\",\"I had dinner with Nora, Kinsley. I ate steak.\"\n19079,2015/08/28,\"I talked to Olivia, Nora, Avery, Nevaeh for 26 minutes in the early evening.\",\"I talked to Olivia, Nora, Avery, Nevaeh for 26 minutes in the early evening.\"\n19080,2015/08/28,\"I talked to Nora, Piper for 20 minutes in the early afternoon.\",\"I talked to Nora, Piper for 20 minutes in the early afternoon.\"\n19081,2015/08/28,I talked to Piper for 50 minutes in the morning.,I talked to Piper for 50 minutes in the morning.\n19082,2015/08/28,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n19083,2015/08/28,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n19084,2015/08/29,I did hiking on 2015/08/29.,I did hiking on 2015/08/29.\n19085,2015/08/29,\"I had breakfast with Avery, Willow. I ate cereals.\",\"I had breakfast with Avery, Willow. I ate cereals.\"\n19086,2015/08/29,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n19087,2015/08/29,I prepare sushi for dinner.,I prepare sushi for dinner.\n19088,2015/08/29,\"I spent 46 talking to Avery, Lydia on various topics in the early evening.\",\"I spent 46 talking to Avery, Lydia on various topics in the early evening.\"\n19089,2015/08/29,I talked to Piper for 33 minutes in the early evening.,I talked to Piper for 33 minutes in the early evening.\n19090,2015/08/29,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n19091,2015/08/29,I watched news for 35 minutes on TV today.,I watched news for 35 minutes on TV today.\n19092,2015/08/30,\"On 2015/08/30, I took Josiah on a date to a park\",\"On 2015/08/30, I took Josiah on a date to a park\"\n19093,2015/08/30,I did swimming on 2015/08/30.,I did swimming on 2015/08/30.\n19094,2015/08/30,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n19095,2015/08/30,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n19096,2015/08/30,I ate indian food for dinner.,I ate indian food for dinner.\n19097,2015/08/30,I spent 34 talking to Rylee on various topics in the late afternoon.,I spent 34 talking to Rylee on various topics in the late afternoon.\n19098,2015/08/30,\"I talked to Piper, Rylee, Eva for 5 minutes during lunch hours.\",\"I talked to Piper, Rylee, Eva for 5 minutes during lunch hours.\"\n19099,2015/08/30,\"I spent 55 talking to Eva, Olivia on various topics late in the evening.\",\"I spent 55 talking to Eva, Olivia on various topics late in the evening.\"\n19100,2015/08/30,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n19101,2015/08/30,I spent 38 minutes watching a tv series on TV today.,I spent 38 minutes watching a tv series on TV today.\n19102,2015/08/31,I did running on 2015/08/31.,I did running on 2015/08/31.\n19103,2015/08/31,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n19104,2015/08/31,\"I had lunch with Hazel, Eva, Rylee, Piper, Kinsley. I ate a burger.\",\"I had lunch with Hazel, Eva, Rylee, Piper, Kinsley. I ate a burger.\"\n19105,2015/08/31,\"I had sandwich for dinner with Olivia, Avery, Kinsley, Rylee, Nora, Piper, Eva\",\"I had sandwich for dinner with Olivia, Avery, Kinsley, Rylee, Nora, Piper, Eva\"\n19106,2015/08/31,\"I spent 5 talking to Olivia, Hazel on various topics late in the evening.\",\"I spent 5 talking to Olivia, Hazel on various topics late in the evening.\"\n19107,2015/08/31,\"I spent 30 talking to Claire, Olivia on various topics during lunch hours.\",\"I spent 30 talking to Claire, Olivia on various topics during lunch hours.\"\n19108,2015/08/31,\"I talked to Nevaeh, Claire, Nora, Rylee for 22 minutes in the early evening.\",\"I talked to Nevaeh, Claire, Nora, Rylee for 22 minutes in the early evening.\"\n19109,2015/08/31,\"I talked to Lydia, Piper, Avery for 54 minutes in the late afternoon.\",\"I talked to Lydia, Piper, Avery for 54 minutes in the late afternoon.\"\n19110,2015/08/31,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n19111,2015/08/31,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n19112,2015/09/01,I did swimming on 2015/09/01.,I did swimming on 2015/09/01.\n19113,2015/09/01,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n19114,2015/09/01,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n19115,2015/09/01,I ate pasta for dinner.,I ate pasta for dinner.\n19116,2015/09/01,\"I talked to Nora, Claire, Hazel for 53 minutes during lunch hours.\",\"I talked to Nora, Claire, Hazel for 53 minutes during lunch hours.\"\n19117,2015/09/01,\"I talked to Kinsley, Olivia for 21 minutes in the early evening.\",\"I talked to Kinsley, Olivia for 21 minutes in the early evening.\"\n19118,2015/09/01,\"I talked to Lydia, Hazel for 24 minutes in the early evening.\",\"I talked to Lydia, Hazel for 24 minutes in the early evening.\"\n19119,2015/09/01,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n19120,2015/09/01,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n19121,2015/09/02,\"I bought some strawberries, mineral water, apple juice, sports drinks, paper towel, shaving cream from the grocery store. I saw Andrew, Emily, Carter, Kayden at the grocery store.\",\"I bought some strawberries, mineral water, apple juice, sports drinks, paper towel, shaving cream from the grocery store. I saw Andrew, Emily, Carter, Kayden at the grocery store.\"\n19122,2015/09/02,I did swimming on 2015/09/02.,I did swimming on 2015/09/02.\n19123,2015/09/02,\"I had peanut-butter-jam for breakfast with Nora, Avery, Eva, Piper, Claire, Layla, Hazel\",\"I had peanut-butter-jam for breakfast with Nora, Avery, Eva, Piper, Claire, Layla, Hazel\"\n19124,2015/09/02,I ate pasta for lunch.,I ate pasta for lunch.\n19125,2015/09/02,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n19126,2015/09/02,\"I spent 35 talking to Piper, Eva, Nevaeh, Hazel on various topics in the late afternoon.\",\"I spent 35 talking to Piper, Eva, Nevaeh, Hazel on various topics in the late afternoon.\"\n19127,2015/09/02,\"I spent 21 talking to Kinsley, Nora, Avery, Claire on various topics in the early afternoon.\",\"I spent 21 talking to Kinsley, Nora, Avery, Claire on various topics in the early afternoon.\"\n19128,2015/09/02,I spent 50 minutes on a book today.,I spent 50 minutes on a book today.\n19129,2015/09/02,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n19130,2015/09/03,I took my parents for their for an annual physical checkup on 2015/09/03 at the private clinic.,I took my parents for their for an annual physical checkup on 2015/09/03 at the private clinic.\n19131,2015/09/03,I went on a date with Parker on 2015/09/03 at a restaurant,I went on a date with Parker on 2015/09/03 at a restaurant\n19132,2015/09/03,I did weight lifting on 2015/09/03.,I did weight lifting on 2015/09/03.\n19133,2015/09/03,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n19134,2015/09/03,I ate tacos for lunch.,I ate tacos for lunch.\n19135,2015/09/03,I had fish and chips for dinner with Avery,I had fish and chips for dinner with Avery\n19136,2015/09/03,\"I spent 18 talking to Hazel, Kinsley, Rylee, Nevaeh on various topics in the early afternoon.\",\"I spent 18 talking to Hazel, Kinsley, Rylee, Nevaeh on various topics in the early afternoon.\"\n19137,2015/09/03,\"I talked to Avery, Piper for 49 minutes in the late afternoon.\",\"I talked to Avery, Piper for 49 minutes in the late afternoon.\"\n19138,2015/09/03,\"I talked to Kinsley, Olivia for 54 minutes in the late afternoon.\",\"I talked to Kinsley, Olivia for 54 minutes in the late afternoon.\"\n19139,2015/09/03,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n19140,2015/09/03,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n19141,2015/09/04,I did HIIT on 2015/09/04.,I did HIIT on 2015/09/04.\n19142,2015/09/04,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n19143,2015/09/04,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n19144,2015/09/04,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n19145,2015/09/04,\"I spent 39 talking to Lydia, Eva, Olivia, Rylee on various topics in the morning.\",\"I spent 39 talking to Lydia, Eva, Olivia, Rylee on various topics in the morning.\"\n19146,2015/09/04,\"I talked to Nora, Hazel for 20 minutes in the early afternoon.\",\"I talked to Nora, Hazel for 20 minutes in the early afternoon.\"\n19147,2015/09/04,\"I talked to Layla, Nora, Claire, Rylee for 41 minutes during lunch hours.\",\"I talked to Layla, Nora, Claire, Rylee for 41 minutes during lunch hours.\"\n19148,2015/09/04,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n19149,2015/09/04,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n19150,2015/09/05,\"I bought some blackberries, blueberries, oranges, guava juice, sports drinks, toothbrush online.\",\"I bought some blackberries, blueberries, oranges, guava juice, sports drinks, toothbrush online.\"\n19151,2015/09/05,I did biking on 2015/09/05.,I did biking on 2015/09/05.\n19152,2015/09/05,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n19153,2015/09/05,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n19154,2015/09/05,\"I had fish and chips for dinner with Willow, Benjamin, Jackson, Avery\",\"I had fish and chips for dinner with Willow, Benjamin, Jackson, Avery\"\n19155,2015/09/05,I talked to Nora for 11 minutes during lunch hours.,I talked to Nora for 11 minutes during lunch hours.\n19156,2015/09/05,\"I talked to Rylee, Kinsley, Nevaeh, Lydia for 39 minutes late in the evening.\",\"I talked to Rylee, Kinsley, Nevaeh, Lydia for 39 minutes late in the evening.\"\n19157,2015/09/05,\"I spent 17 talking to Nora, Olivia on various topics in the morning.\",\"I spent 17 talking to Nora, Olivia on various topics in the morning.\"\n19158,2015/09/05,\"I talked to Rylee, Claire, Nevaeh, Eva for 13 minutes during lunch hours.\",\"I talked to Rylee, Claire, Nevaeh, Eva for 13 minutes during lunch hours.\"\n19159,2015/09/05,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n19160,2015/09/05,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n19161,2015/09/06,\"On 2015/09/06, I took Aaron on a date to a park\",\"On 2015/09/06, I took Aaron on a date to a park\"\n19162,2015/09/06,I did HIIT on 2015/09/06.,I did HIIT on 2015/09/06.\n19163,2015/09/06,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n19164,2015/09/06,I ate chinese food for lunch.,I ate chinese food for lunch.\n19165,2015/09/06,I had dinner. I ate steak.,I had dinner. I ate steak.\n19166,2015/09/06,\"I talked to Eva, Nevaeh for 19 minutes late in the evening.\",\"I talked to Eva, Nevaeh for 19 minutes late in the evening.\"\n19167,2015/09/06,\"I spent 22 talking to Lydia, Nevaeh on various topics in the early evening.\",\"I spent 22 talking to Lydia, Nevaeh on various topics in the early evening.\"\n19168,2015/09/06,\"I talked to Nevaeh, Piper, Eva, Claire for 27 minutes late in the evening.\",\"I talked to Nevaeh, Piper, Eva, Claire for 27 minutes late in the evening.\"\n19169,2015/09/06,I talked to Claire for 37 minutes during lunch hours.,I talked to Claire for 37 minutes during lunch hours.\n19170,2015/09/06,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n19171,2015/09/06,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n19172,2015/09/07,I did hiking on 2015/09/07.,I did hiking on 2015/09/07.\n19173,2015/09/07,\"I had cereals for breakfast with Carter, Kayden, Emily\",\"I had cereals for breakfast with Carter, Kayden, Emily\"\n19174,2015/09/07,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n19175,2015/09/07,I had fish and chips for dinner with Carter,I had fish and chips for dinner with Carter\n19176,2015/09/07,\"I talked to Lydia, Avery, Claire, Kinsley for 5 minutes during lunch hours.\",\"I talked to Lydia, Avery, Claire, Kinsley for 5 minutes during lunch hours.\"\n19177,2015/09/07,I spent 37 talking to Claire on various topics in the early evening.,I spent 37 talking to Claire on various topics in the early evening.\n19178,2015/09/07,\"I talked to Rylee, Piper, Claire, Nevaeh for 51 minutes late in the evening.\",\"I talked to Rylee, Piper, Claire, Nevaeh for 51 minutes late in the evening.\"\n19179,2015/09/07,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n19180,2015/09/07,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n19181,2015/09/08,I did hiking on 2015/09/08.,I did hiking on 2015/09/08.\n19182,2015/09/08,\"I had cereals for breakfast with Jackson, Willow\",\"I had cereals for breakfast with Jackson, Willow\"\n19183,2015/09/08,I prepare steak for lunch.,I prepare steak for lunch.\n19184,2015/09/08,\"I had dinner with Avery, Nevaeh, Lydia, Kinsley, Eva, Nora. I ate steak.\",\"I had dinner with Avery, Nevaeh, Lydia, Kinsley, Eva, Nora. I ate steak.\"\n19185,2015/09/08,\"I talked to Kinsley, Hazel, Piper, Layla for 47 minutes in the morning.\",\"I talked to Kinsley, Hazel, Piper, Layla for 47 minutes in the morning.\"\n19186,2015/09/08,\"I talked to Nora, Avery for 19 minutes in the early afternoon.\",\"I talked to Nora, Avery for 19 minutes in the early afternoon.\"\n19187,2015/09/08,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n19188,2015/09/08,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n19189,2015/09/09,I did hiking on 2015/09/09.,I did hiking on 2015/09/09.\n19190,2015/09/09,\"I had breakfast with Kayden, Andrew, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Andrew, Carter. I ate peanut-butter-jam.\"\n19191,2015/09/09,I prepare tacos for lunch.,I prepare tacos for lunch.\n19192,2015/09/09,\"I had sandwich for dinner with Kayden, Andrew, Emily, Carter\",\"I had sandwich for dinner with Kayden, Andrew, Emily, Carter\"\n19193,2015/09/09,\"I spent 42 talking to Nora, Olivia, Hazel, Claire on various topics during lunch hours.\",\"I spent 42 talking to Nora, Olivia, Hazel, Claire on various topics during lunch hours.\"\n19194,2015/09/09,I talked to Layla for 14 minutes in the morning.,I talked to Layla for 14 minutes in the morning.\n19195,2015/09/09,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n19196,2015/09/09,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n19197,2015/09/10,\"On 2015/09/10, I took Gianna on a date to a restaurant\",\"On 2015/09/10, I took Gianna on a date to a restaurant\"\n19198,2015/09/10,I did hiking on 2015/09/10.,I did hiking on 2015/09/10.\n19199,2015/09/10,\"I had breakfast with Kayden, Carter, Andrew, Emily. I ate pancakes.\",\"I had breakfast with Kayden, Carter, Andrew, Emily. I ate pancakes.\"\n19200,2015/09/10,I ate pasta for lunch.,I ate pasta for lunch.\n19201,2015/09/10,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n19202,2015/09/10,I talked to Eva for 52 minutes in the early afternoon.,I talked to Eva for 52 minutes in the early afternoon.\n19203,2015/09/10,\"I talked to Piper, Kinsley for 19 minutes during lunch hours.\",\"I talked to Piper, Kinsley for 19 minutes during lunch hours.\"\n19204,2015/09/10,\"I talked to Eva, Nora for 52 minutes in the morning.\",\"I talked to Eva, Nora for 52 minutes in the morning.\"\n19205,2015/09/10,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n19206,2015/09/10,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n19207,2015/09/11,I did biking on 2015/09/11.,I did biking on 2015/09/11.\n19208,2015/09/11,\"I had breakfast with Lydia, Nora, Claire, Avery, Kinsley, Piper, Nevaeh, Hazel, Eva, Piper. I ate toast and cheese.\",\"I had breakfast with Lydia, Nora, Claire, Avery, Kinsley, Piper, Nevaeh, Hazel, Eva, Piper. I ate toast and cheese.\"\n19209,2015/09/11,I had steak for lunch with Kayden,I had steak for lunch with Kayden\n19210,2015/09/11,\"I had dinner with Jackson, Avery, Benjamin, Willow. I ate sushi.\",\"I had dinner with Jackson, Avery, Benjamin, Willow. I ate sushi.\"\n19211,2015/09/11,\"I spent 39 talking to Avery, Kinsley, Piper on various topics late in the evening.\",\"I spent 39 talking to Avery, Kinsley, Piper on various topics late in the evening.\"\n19212,2015/09/11,\"I talked to Layla, Eva for 22 minutes in the early afternoon.\",\"I talked to Layla, Eva for 22 minutes in the early afternoon.\"\n19213,2015/09/11,\"I spent 45 talking to Claire, Kinsley, Avery on various topics during lunch hours.\",\"I spent 45 talking to Claire, Kinsley, Avery on various topics during lunch hours.\"\n19214,2015/09/11,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n19215,2015/09/11,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n19216,2015/09/12,\"I spent time working out on 2015/09/12 with Kayden, Carter, Emily.\",\"I spent time working out on 2015/09/12 with Kayden, Carter, Emily.\"\n19217,2015/09/12,\"I went grocery shopping. I bought some blueberries, raspberries, soda, apple juice, sports drinks, guava juice, and conditioner, mouthwash\",\"I went grocery shopping. I bought some blueberries, raspberries, soda, apple juice, sports drinks, guava juice, and conditioner, mouthwash\"\n19218,2015/09/12,I did HIIT on 2015/09/12.,I did HIIT on 2015/09/12.\n19219,2015/09/12,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n19220,2015/09/12,\"I had lunch with Carter, Kayden, Emily. I ate steak.\",\"I had lunch with Carter, Kayden, Emily. I ate steak.\"\n19221,2015/09/12,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n19222,2015/09/12,\"I talked to Kinsley, Eva for 16 minutes in the early afternoon.\",\"I talked to Kinsley, Eva for 16 minutes in the early afternoon.\"\n19223,2015/09/12,\"I talked to Lydia, Piper, Kinsley for 21 minutes late in the evening.\",\"I talked to Lydia, Piper, Kinsley for 21 minutes late in the evening.\"\n19224,2015/09/12,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n19225,2015/09/12,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n19226,2015/09/13,I did running on 2015/09/13.,I did running on 2015/09/13.\n19227,2015/09/13,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n19228,2015/09/13,I prepare indian food for lunch.,I prepare indian food for lunch.\n19229,2015/09/13,I prepare tacos for dinner.,I prepare tacos for dinner.\n19230,2015/09/13,I talked to Piper for 53 minutes in the morning.,I talked to Piper for 53 minutes in the morning.\n19231,2015/09/13,I talked to Layla for 21 minutes in the early afternoon.,I talked to Layla for 21 minutes in the early afternoon.\n19232,2015/09/13,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n19233,2015/09/13,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n19234,2015/09/14,I really enjoyed meditation on 2015/09/14,I really enjoyed meditation on 2015/09/14\n19235,2015/09/14,\"I went grocery shopping. I bought some pineapples, orange juice, and paper towel, shampoo\",\"I went grocery shopping. I bought some pineapples, orange juice, and paper towel, shampoo\"\n19236,2015/09/14,I did running on 2015/09/14.,I did running on 2015/09/14.\n19237,2015/09/14,\"I had breakfast with Nora, Layla. I ate eggs, sausages, and bread.\",\"I had breakfast with Nora, Layla. I ate eggs, sausages, and bread.\"\n19238,2015/09/14,\"I had pasta for lunch with Andrew, Kayden\",\"I had pasta for lunch with Andrew, Kayden\"\n19239,2015/09/14,I ate a burger for dinner.,I ate a burger for dinner.\n19240,2015/09/14,I talked to Piper for 50 minutes during lunch hours.,I talked to Piper for 50 minutes during lunch hours.\n19241,2015/09/14,\"I spent 31 talking to Claire, Hazel on various topics in the late afternoon.\",\"I spent 31 talking to Claire, Hazel on various topics in the late afternoon.\"\n19242,2015/09/14,\"I talked to Rylee, Kinsley, Piper for 55 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley, Piper for 55 minutes in the early afternoon.\"\n19243,2015/09/14,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n19244,2015/09/14,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n19245,2015/09/15,I did biking on 2015/09/15.,I did biking on 2015/09/15.\n19246,2015/09/15,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n19247,2015/09/15,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n19248,2015/09/15,I prepare a burger for dinner.,I prepare a burger for dinner.\n19249,2015/09/15,I talked to Lydia for 44 minutes in the morning.,I talked to Lydia for 44 minutes in the morning.\n19250,2015/09/15,\"I spent 47 talking to Eva, Layla, Olivia on various topics in the late afternoon.\",\"I spent 47 talking to Eva, Layla, Olivia on various topics in the late afternoon.\"\n19251,2015/09/15,I spent 53 talking to Claire on various topics in the late afternoon.,I spent 53 talking to Claire on various topics in the late afternoon.\n19252,2015/09/15,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n19253,2015/09/15,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n19254,2015/09/16,I did HIIT on 2015/09/16.,I did HIIT on 2015/09/16.\n19255,2015/09/16,I had toast and cheese for breakfast with Emily,I had toast and cheese for breakfast with Emily\n19256,2015/09/16,\"I had pasta for lunch with Kinsley, Piper, Nevaeh, Olivia, Avery, Rylee\",\"I had pasta for lunch with Kinsley, Piper, Nevaeh, Olivia, Avery, Rylee\"\n19257,2015/09/16,I prepare indian food for dinner.,I prepare indian food for dinner.\n19258,2015/09/16,I talked to Kinsley for 13 minutes during lunch hours.,I talked to Kinsley for 13 minutes during lunch hours.\n19259,2015/09/16,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n19260,2015/09/16,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n19261,2015/09/17,\"On 2015/09/17, I took Sophia on a date to a restaurant\",\"On 2015/09/17, I took Sophia on a date to a restaurant\"\n19262,2015/09/17,I did weight lifting on 2015/09/17.,I did weight lifting on 2015/09/17.\n19263,2015/09/17,\"I had breakfast with Piper, Nevaeh, Eva, Nora, Rylee, Layla, Hazel. I ate peanut-butter-jam.\",\"I had breakfast with Piper, Nevaeh, Eva, Nora, Rylee, Layla, Hazel. I ate peanut-butter-jam.\"\n19264,2015/09/17,\"I had lunch with Layla, Eva, Claire, Hazel, Kinsley, Lydia, Piper, Avery, Piper, Rylee, Olivia, Nevaeh, Nora. I ate indian food.\",\"I had lunch with Layla, Eva, Claire, Hazel, Kinsley, Lydia, Piper, Avery, Piper, Rylee, Olivia, Nevaeh, Nora. I ate indian food.\"\n19265,2015/09/17,\"I had indian food for dinner with Carter, Kayden\",\"I had indian food for dinner with Carter, Kayden\"\n19266,2015/09/17,\"I spent 5 talking to Avery, Rylee on various topics in the early afternoon.\",\"I spent 5 talking to Avery, Rylee on various topics in the early afternoon.\"\n19267,2015/09/17,\"I talked to Lydia, Hazel, Olivia for 23 minutes during lunch hours.\",\"I talked to Lydia, Hazel, Olivia for 23 minutes during lunch hours.\"\n19268,2015/09/17,\"I talked to Eva, Layla for 25 minutes late in the evening.\",\"I talked to Eva, Layla for 25 minutes late in the evening.\"\n19269,2015/09/17,\"I spent 50 talking to Kinsley, Piper, Piper on various topics in the late afternoon.\",\"I spent 50 talking to Kinsley, Piper, Piper on various topics in the late afternoon.\"\n19270,2015/09/17,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n19271,2015/09/17,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n19272,2015/09/18,I really enjoyed learning a language on 2015/09/18,I really enjoyed learning a language on 2015/09/18\n19273,2015/09/18,\"I bought some pineapples, nectarines, apricots, blackberries, apple juice, shaving cream, mouthwash, toothbrush from the grocery store. I saw Carter, Andrew at the grocery store.\",\"I bought some pineapples, nectarines, apricots, blackberries, apple juice, shaving cream, mouthwash, toothbrush from the grocery store. I saw Carter, Andrew at the grocery store.\"\n19274,2015/09/18,I did HIIT on 2015/09/18.,I did HIIT on 2015/09/18.\n19275,2015/09/18,\"I had breakfast with Carter, Kayden, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Kayden, Emily. I ate peanut-butter-jam.\"\n19276,2015/09/18,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n19277,2015/09/18,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n19278,2015/09/18,I talked to Nevaeh for 48 minutes in the early afternoon.,I talked to Nevaeh for 48 minutes in the early afternoon.\n19279,2015/09/18,I talked to Olivia for 14 minutes in the late afternoon.,I talked to Olivia for 14 minutes in the late afternoon.\n19280,2015/09/18,\"I talked to Piper, Eva for 43 minutes late in the evening.\",\"I talked to Piper, Eva for 43 minutes late in the evening.\"\n19281,2015/09/18,\"I talked to Nora, Kinsley for 25 minutes late in the evening.\",\"I talked to Nora, Kinsley for 25 minutes late in the evening.\"\n19282,2015/09/18,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n19283,2015/09/18,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n19284,2015/09/19,I did swimming on 2015/09/19.,I did swimming on 2015/09/19.\n19285,2015/09/19,\"I had cereals for breakfast with Kayden, Emily, Andrew\",\"I had cereals for breakfast with Kayden, Emily, Andrew\"\n19286,2015/09/19,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n19287,2015/09/19,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n19288,2015/09/19,I talked to Layla for 18 minutes in the late afternoon.,I talked to Layla for 18 minutes in the late afternoon.\n19289,2015/09/19,I talked to Lydia for 29 minutes in the late afternoon.,I talked to Lydia for 29 minutes in the late afternoon.\n19290,2015/09/19,\"I talked to Nora, Olivia, Lydia for 32 minutes in the morning.\",\"I talked to Nora, Olivia, Lydia for 32 minutes in the morning.\"\n19291,2015/09/19,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n19292,2015/09/19,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n19293,2015/09/20,I did HIIT on 2015/09/20.,I did HIIT on 2015/09/20.\n19294,2015/09/20,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n19295,2015/09/20,\"I had chinese food for lunch with Emily, Kayden, Carter\",\"I had chinese food for lunch with Emily, Kayden, Carter\"\n19296,2015/09/20,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n19297,2015/09/20,I spent 35 talking to Olivia on various topics in the morning.,I spent 35 talking to Olivia on various topics in the morning.\n19298,2015/09/20,I talked to Nora for 40 minutes late in the evening.,I talked to Nora for 40 minutes late in the evening.\n19299,2015/09/20,\"I spent 36 talking to Eva, Piper, Hazel, Olivia on various topics in the morning.\",\"I spent 36 talking to Eva, Piper, Hazel, Olivia on various topics in the morning.\"\n19300,2015/09/20,I spent 43 talking to Nora on various topics in the early evening.,I spent 43 talking to Nora on various topics in the early evening.\n19301,2015/09/20,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n19302,2015/09/20,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n19303,2015/09/21,I did hiking on 2015/09/21.,I did hiking on 2015/09/21.\n19304,2015/09/21,I ate cereals for breakfast.,I ate cereals for breakfast.\n19305,2015/09/21,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n19306,2015/09/21,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n19307,2015/09/21,I spent 45 talking to Nevaeh on various topics late in the evening.,I spent 45 talking to Nevaeh on various topics late in the evening.\n19308,2015/09/21,\"I talked to Layla, Piper, Piper for 48 minutes in the early evening.\",\"I talked to Layla, Piper, Piper for 48 minutes in the early evening.\"\n19309,2015/09/21,\"I talked to Piper, Nora, Nevaeh for 15 minutes during lunch hours.\",\"I talked to Piper, Nora, Nevaeh for 15 minutes during lunch hours.\"\n19310,2015/09/21,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n19311,2015/09/21,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n19312,2015/09/22,I went on a date with Stella on 2015/09/22 at a park,I went on a date with Stella on 2015/09/22 at a park\n19313,2015/09/22,I did HIIT on 2015/09/22.,I did HIIT on 2015/09/22.\n19314,2015/09/22,\"I had breakfast with Eva, Claire, Lydia, Layla, Olivia, Piper, Rylee, Nora, Piper, Avery, Hazel, Kinsley. I ate toast and cheese.\",\"I had breakfast with Eva, Claire, Lydia, Layla, Olivia, Piper, Rylee, Nora, Piper, Avery, Hazel, Kinsley. I ate toast and cheese.\"\n19315,2015/09/22,\"I had a burger for lunch with Avery, Piper\",\"I had a burger for lunch with Avery, Piper\"\n19316,2015/09/22,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n19317,2015/09/22,\"I talked to Nevaeh, Olivia for 25 minutes in the early afternoon.\",\"I talked to Nevaeh, Olivia for 25 minutes in the early afternoon.\"\n19318,2015/09/22,\"I spent 38 talking to Piper, Rylee on various topics in the early evening.\",\"I spent 38 talking to Piper, Rylee on various topics in the early evening.\"\n19319,2015/09/22,\"I talked to Hazel, Layla, Piper, Nevaeh for 24 minutes in the early afternoon.\",\"I talked to Hazel, Layla, Piper, Nevaeh for 24 minutes in the early afternoon.\"\n19320,2015/09/22,\"I spent 44 talking to Claire, Rylee, Lydia on various topics in the early evening.\",\"I spent 44 talking to Claire, Rylee, Lydia on various topics in the early evening.\"\n19321,2015/09/22,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n19322,2015/09/22,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n19323,2015/09/23,I spent some time gardening on 2015/09/23.,I spent some time gardening on 2015/09/23.\n19324,2015/09/23,I did weight lifting on 2015/09/23.,I did weight lifting on 2015/09/23.\n19325,2015/09/23,\"I had toast and cheese for breakfast with Jackson, Willow\",\"I had toast and cheese for breakfast with Jackson, Willow\"\n19326,2015/09/23,I prepare pasta for lunch.,I prepare pasta for lunch.\n19327,2015/09/23,\"I had dinner with Carter, Kayden. I ate indian food.\",\"I had dinner with Carter, Kayden. I ate indian food.\"\n19328,2015/09/23,\"I talked to Piper, Nevaeh, Avery for 28 minutes in the early evening.\",\"I talked to Piper, Nevaeh, Avery for 28 minutes in the early evening.\"\n19329,2015/09/23,I talked to Olivia for 38 minutes in the early afternoon.,I talked to Olivia for 38 minutes in the early afternoon.\n19330,2015/09/23,\"I talked to Nora, Rylee, Piper for 38 minutes in the early evening.\",\"I talked to Nora, Rylee, Piper for 38 minutes in the early evening.\"\n19331,2015/09/23,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n19332,2015/09/23,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n19333,2015/09/24,\"I bought some watermelons, oranges, raspberries, tea, mango juice, coffee, shaving cream from the grocery store. I saw Piper, Olivia at the grocery store.\",\"I bought some watermelons, oranges, raspberries, tea, mango juice, coffee, shaving cream from the grocery store. I saw Piper, Olivia at the grocery store.\"\n19334,2015/09/24,\"I had peanut-butter-jam for breakfast with Eva, Piper, Piper, Layla, Rylee, Nevaeh, Lydia, Claire, Hazel, Olivia, Avery, Nora\",\"I had peanut-butter-jam for breakfast with Eva, Piper, Piper, Layla, Rylee, Nevaeh, Lydia, Claire, Hazel, Olivia, Avery, Nora\"\n19335,2015/09/24,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n19336,2015/09/24,I had dinner. I ate steak.,I had dinner. I ate steak.\n19337,2015/09/24,\"I talked to Rylee, Nevaeh, Kinsley for 25 minutes during lunch hours.\",\"I talked to Rylee, Nevaeh, Kinsley for 25 minutes during lunch hours.\"\n19338,2015/09/24,\"I talked to Piper, Eva for 53 minutes late in the evening.\",\"I talked to Piper, Eva for 53 minutes late in the evening.\"\n19339,2015/09/24,I talked to Piper for 8 minutes during lunch hours.,I talked to Piper for 8 minutes during lunch hours.\n19340,2015/09/24,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n19341,2015/09/24,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n19342,2015/09/25,I did running on 2015/09/25.,I did running on 2015/09/25.\n19343,2015/09/25,\"I had toast and cheese for breakfast with Piper, Olivia, Avery, Layla, Nora, Hazel, Kinsley, Piper, Eva, Nevaeh, Rylee\",\"I had toast and cheese for breakfast with Piper, Olivia, Avery, Layla, Nora, Hazel, Kinsley, Piper, Eva, Nevaeh, Rylee\"\n19344,2015/09/25,\"I had sushi for lunch with Avery, Jackson\",\"I had sushi for lunch with Avery, Jackson\"\n19345,2015/09/25,\"I had dinner with Andrew, Kayden. I ate fish and chips.\",\"I had dinner with Andrew, Kayden. I ate fish and chips.\"\n19346,2015/09/25,\"I talked to Avery, Lydia, Olivia for 47 minutes late in the evening.\",\"I talked to Avery, Lydia, Olivia for 47 minutes late in the evening.\"\n19347,2015/09/25,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n19348,2015/09/25,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n19349,2015/09/26,I did swimming on 2015/09/26.,I did swimming on 2015/09/26.\n19350,2015/09/26,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n19351,2015/09/26,I prepare a burger for lunch.,I prepare a burger for lunch.\n19352,2015/09/26,\"I had dinner with Kinsley, Hazel, Lydia, Rylee, Nora, Avery, Piper. I ate indian food.\",\"I had dinner with Kinsley, Hazel, Lydia, Rylee, Nora, Avery, Piper. I ate indian food.\"\n19353,2015/09/26,\"I spent 14 talking to Piper, Layla, Lydia, Olivia on various topics in the morning.\",\"I spent 14 talking to Piper, Layla, Lydia, Olivia on various topics in the morning.\"\n19354,2015/09/26,I spent 21 talking to Claire on various topics late in the evening.,I spent 21 talking to Claire on various topics late in the evening.\n19355,2015/09/26,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n19356,2015/09/26,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n19357,2015/09/27,I did running on 2015/09/27.,I did running on 2015/09/27.\n19358,2015/09/27,\"I had cereals for breakfast with Nora, Piper, Nevaeh, Kinsley\",\"I had cereals for breakfast with Nora, Piper, Nevaeh, Kinsley\"\n19359,2015/09/27,I prepare a burger for lunch.,I prepare a burger for lunch.\n19360,2015/09/27,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n19361,2015/09/27,\"I spent 52 talking to Kinsley, Olivia, Rylee on various topics in the early evening.\",\"I spent 52 talking to Kinsley, Olivia, Rylee on various topics in the early evening.\"\n19362,2015/09/27,\"I talked to Hazel, Olivia, Rylee, Claire for 34 minutes in the morning.\",\"I talked to Hazel, Olivia, Rylee, Claire for 34 minutes in the morning.\"\n19363,2015/09/27,I spent 50 minutes on a book today.,I spent 50 minutes on a book today.\n19364,2015/09/27,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n19365,2015/09/28,I spent some time gardening on 2015/09/28.,I spent some time gardening on 2015/09/28.\n19366,2015/09/28,\"I bought some clementines, chocolate milk, guava juice, mango juice, shaving cream, shampoo online.\",\"I bought some clementines, chocolate milk, guava juice, mango juice, shaving cream, shampoo online.\"\n19367,2015/09/28,I did weight lifting on 2015/09/28.,I did weight lifting on 2015/09/28.\n19368,2015/09/28,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n19369,2015/09/28,\"I had lunch with Kayden, Carter, Andrew. I ate pasta.\",\"I had lunch with Kayden, Carter, Andrew. I ate pasta.\"\n19370,2015/09/28,\"I had dinner with Andrew, Carter, Emily, Kayden. I ate pasta.\",\"I had dinner with Andrew, Carter, Emily, Kayden. I ate pasta.\"\n19371,2015/09/28,\"I spent 28 talking to Olivia, Piper, Avery on various topics in the early evening.\",\"I spent 28 talking to Olivia, Piper, Avery on various topics in the early evening.\"\n19372,2015/09/28,\"I spent 45 talking to Rylee, Piper on various topics late in the evening.\",\"I spent 45 talking to Rylee, Piper on various topics late in the evening.\"\n19373,2015/09/28,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n19374,2015/09/28,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n19375,2015/09/29,I went on a date with Parker on 2015/09/29 at a boba shop,I went on a date with Parker on 2015/09/29 at a boba shop\n19376,2015/09/29,I did HIIT on 2015/09/29.,I did HIIT on 2015/09/29.\n19377,2015/09/29,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n19378,2015/09/29,\"I had lunch with Avery, Benjamin. I ate fish and chips.\",\"I had lunch with Avery, Benjamin. I ate fish and chips.\"\n19379,2015/09/29,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n19380,2015/09/29,\"I talked to Nora, Claire, Olivia for 9 minutes late in the evening.\",\"I talked to Nora, Claire, Olivia for 9 minutes late in the evening.\"\n19381,2015/09/29,\"I spent 35 talking to Claire, Avery on various topics in the late afternoon.\",\"I spent 35 talking to Claire, Avery on various topics in the late afternoon.\"\n19382,2015/09/29,\"I talked to Olivia, Piper, Kinsley, Eva for 7 minutes during lunch hours.\",\"I talked to Olivia, Piper, Kinsley, Eva for 7 minutes during lunch hours.\"\n19383,2015/09/29,\"I spent 10 talking to Nevaeh, Nora, Rylee, Piper on various topics late in the evening.\",\"I spent 10 talking to Nevaeh, Nora, Rylee, Piper on various topics late in the evening.\"\n19384,2015/09/29,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n19385,2015/09/29,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n19386,2015/09/30,\"I had oatmeal for breakfast with Andrew, Carter\",\"I had oatmeal for breakfast with Andrew, Carter\"\n19387,2015/09/30,I ate tacos for lunch.,I ate tacos for lunch.\n19388,2015/09/30,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n19389,2015/09/30,\"I talked to Nora, Layla, Piper, Claire for 10 minutes in the early evening.\",\"I talked to Nora, Layla, Piper, Claire for 10 minutes in the early evening.\"\n19390,2015/09/30,\"I talked to Layla, Claire, Kinsley, Piper for 55 minutes in the morning.\",\"I talked to Layla, Claire, Kinsley, Piper for 55 minutes in the morning.\"\n19391,2015/09/30,I spent 31 talking to Nevaeh on various topics in the early afternoon.,I spent 31 talking to Nevaeh on various topics in the early afternoon.\n19392,2015/09/30,I talked to Piper for 52 minutes in the morning.,I talked to Piper for 52 minutes in the morning.\n19393,2015/09/30,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n19394,2015/09/30,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n19395,2015/10/01,I spent some time working out on 2015/10/01.,I spent some time working out on 2015/10/01.\n19396,2015/10/01,I did hiking on 2015/10/01.,I did hiking on 2015/10/01.\n19397,2015/10/01,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n19398,2015/10/01,\"I had lunch with Jackson, Willow. I ate pasta.\",\"I had lunch with Jackson, Willow. I ate pasta.\"\n19399,2015/10/01,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n19400,2015/10/01,\"I talked to Rylee, Piper, Olivia for 31 minutes in the morning.\",\"I talked to Rylee, Piper, Olivia for 31 minutes in the morning.\"\n19401,2015/10/01,\"I talked to Nevaeh, Eva, Claire for 49 minutes in the early afternoon.\",\"I talked to Nevaeh, Eva, Claire for 49 minutes in the early afternoon.\"\n19402,2015/10/01,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n19403,2015/10/01,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n19404,2015/10/02,I did swimming on 2015/10/02.,I did swimming on 2015/10/02.\n19405,2015/10/02,\"I had breakfast with Kayden, Carter, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Carter, Emily. I ate peanut-butter-jam.\"\n19406,2015/10/02,I prepare tacos for lunch.,I prepare tacos for lunch.\n19407,2015/10/02,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n19408,2015/10/02,\"I talked to Olivia, Piper, Nevaeh for 13 minutes in the early evening.\",\"I talked to Olivia, Piper, Nevaeh for 13 minutes in the early evening.\"\n19409,2015/10/02,\"I spent 38 talking to Eva, Rylee, Nevaeh, Olivia on various topics in the early evening.\",\"I spent 38 talking to Eva, Rylee, Nevaeh, Olivia on various topics in the early evening.\"\n19410,2015/10/02,\"I spent 45 talking to Piper, Lydia on various topics during lunch hours.\",\"I spent 45 talking to Piper, Lydia on various topics during lunch hours.\"\n19411,2015/10/02,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n19412,2015/10/02,I spent 24 minutes watching news on TV today.,I spent 24 minutes watching news on TV today.\n19413,2015/10/03,I did swimming on 2015/10/03.,I did swimming on 2015/10/03.\n19414,2015/10/03,\"I had peanut-butter-jam for breakfast with Benjamin, Jackson, Willow, Avery\",\"I had peanut-butter-jam for breakfast with Benjamin, Jackson, Willow, Avery\"\n19415,2015/10/03,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n19416,2015/10/03,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n19417,2015/10/03,\"I spent 25 talking to Layla, Piper, Avery on various topics during lunch hours.\",\"I spent 25 talking to Layla, Piper, Avery on various topics during lunch hours.\"\n19418,2015/10/03,\"I spent 8 talking to Kinsley, Lydia, Olivia on various topics during lunch hours.\",\"I spent 8 talking to Kinsley, Lydia, Olivia on various topics during lunch hours.\"\n19419,2015/10/03,\"I talked to Layla, Lydia for 33 minutes in the morning.\",\"I talked to Layla, Lydia for 33 minutes in the morning.\"\n19420,2015/10/03,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n19421,2015/10/03,I spent 17 minutes watching a tv series on TV today.,I spent 17 minutes watching a tv series on TV today.\n19422,2015/10/04,I went on a date with Grace on 2015/10/04 at a coffee Shop,I went on a date with Grace on 2015/10/04 at a coffee Shop\n19423,2015/10/04,I did biking on 2015/10/04.,I did biking on 2015/10/04.\n19424,2015/10/04,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n19425,2015/10/04,\"I had lunch with Piper, Olivia, Nevaeh, Piper, Avery, Claire, Lydia, Eva, Layla, Nora, Rylee, Hazel. I ate indian food.\",\"I had lunch with Piper, Olivia, Nevaeh, Piper, Avery, Claire, Lydia, Eva, Layla, Nora, Rylee, Hazel. I ate indian food.\"\n19426,2015/10/04,I prepare pasta for dinner.,I prepare pasta for dinner.\n19427,2015/10/04,\"I talked to Piper, Nevaeh for 43 minutes in the early evening.\",\"I talked to Piper, Nevaeh for 43 minutes in the early evening.\"\n19428,2015/10/04,\"I talked to Layla, Kinsley, Claire, Nevaeh for 14 minutes in the late afternoon.\",\"I talked to Layla, Kinsley, Claire, Nevaeh for 14 minutes in the late afternoon.\"\n19429,2015/10/04,\"I talked to Rylee, Lydia, Nevaeh, Nora for 34 minutes in the early afternoon.\",\"I talked to Rylee, Lydia, Nevaeh, Nora for 34 minutes in the early afternoon.\"\n19430,2015/10/04,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n19431,2015/10/04,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n19432,2015/10/05,\"I bought some oranges, strawberries, coffee, mouthwash, facial wash, toilet paper, shaving cream from the grocery store. I saw Layla, Claire, Nevaeh, Lydia, Olivia at the grocery store.\",\"I bought some oranges, strawberries, coffee, mouthwash, facial wash, toilet paper, shaving cream from the grocery store. I saw Layla, Claire, Nevaeh, Lydia, Olivia at the grocery store.\"\n19433,2015/10/05,I did running on 2015/10/05.,I did running on 2015/10/05.\n19434,2015/10/05,\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Carter\",\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Carter\"\n19435,2015/10/05,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n19436,2015/10/05,\"I had dinner with Emily, Kayden, Carter. I ate chinese food.\",\"I had dinner with Emily, Kayden, Carter. I ate chinese food.\"\n19437,2015/10/05,I talked to Piper for 13 minutes late in the evening.,I talked to Piper for 13 minutes late in the evening.\n19438,2015/10/05,I spent 33 talking to Eva on various topics in the early evening.,I spent 33 talking to Eva on various topics in the early evening.\n19439,2015/10/05,\"I talked to Nevaeh, Claire, Lydia, Olivia for 15 minutes in the morning.\",\"I talked to Nevaeh, Claire, Lydia, Olivia for 15 minutes in the morning.\"\n19440,2015/10/05,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n19441,2015/10/05,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n19442,2015/10/06,I did hiking on 2015/10/06.,I did hiking on 2015/10/06.\n19443,2015/10/06,I had oatmeal for breakfast with Andrew,I had oatmeal for breakfast with Andrew\n19444,2015/10/06,\"I had a burger for lunch with Jackson, Avery\",\"I had a burger for lunch with Jackson, Avery\"\n19445,2015/10/06,I prepare indian food for dinner.,I prepare indian food for dinner.\n19446,2015/10/06,\"I spent 20 talking to Nevaeh, Lydia, Claire on various topics in the early afternoon.\",\"I spent 20 talking to Nevaeh, Lydia, Claire on various topics in the early afternoon.\"\n19447,2015/10/06,\"I spent 19 talking to Hazel, Rylee, Olivia on various topics in the early evening.\",\"I spent 19 talking to Hazel, Rylee, Olivia on various topics in the early evening.\"\n19448,2015/10/06,I talked to Kinsley for 25 minutes in the early evening.,I talked to Kinsley for 25 minutes in the early evening.\n19449,2015/10/06,\"I talked to Kinsley, Eva for 51 minutes in the early evening.\",\"I talked to Kinsley, Eva for 51 minutes in the early evening.\"\n19450,2015/10/06,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n19451,2015/10/06,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n19452,2015/10/07,I did biking on 2015/10/07.,I did biking on 2015/10/07.\n19453,2015/10/07,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n19454,2015/10/07,\"I had indian food for lunch with Piper, Lydia, Layla, Olivia, Kinsley\",\"I had indian food for lunch with Piper, Lydia, Layla, Olivia, Kinsley\"\n19455,2015/10/07,I prepare tacos for dinner.,I prepare tacos for dinner.\n19456,2015/10/07,\"I talked to Nora, Olivia, Layla, Claire for 12 minutes in the morning.\",\"I talked to Nora, Olivia, Layla, Claire for 12 minutes in the morning.\"\n19457,2015/10/07,\"I talked to Eva, Lydia for 24 minutes in the early afternoon.\",\"I talked to Eva, Lydia for 24 minutes in the early afternoon.\"\n19458,2015/10/07,I talked to Rylee for 43 minutes in the early evening.,I talked to Rylee for 43 minutes in the early evening.\n19459,2015/10/07,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n19460,2015/10/07,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n19461,2015/10/08,I did running on 2015/10/08.,I did running on 2015/10/08.\n19462,2015/10/08,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n19463,2015/10/08,\"I had lunch with Eva, Hazel, Nevaeh, Layla, Avery. I ate fish and chips.\",\"I had lunch with Eva, Hazel, Nevaeh, Layla, Avery. I ate fish and chips.\"\n19464,2015/10/08,I had dinner with Willow. I ate sushi.,I had dinner with Willow. I ate sushi.\n19465,2015/10/08,\"I talked to Layla, Avery, Olivia for 31 minutes during lunch hours.\",\"I talked to Layla, Avery, Olivia for 31 minutes during lunch hours.\"\n19466,2015/10/08,\"I talked to Olivia, Rylee, Piper, Piper for 55 minutes during lunch hours.\",\"I talked to Olivia, Rylee, Piper, Piper for 55 minutes during lunch hours.\"\n19467,2015/10/08,\"I talked to Lydia, Piper, Claire, Piper for 20 minutes in the early evening.\",\"I talked to Lydia, Piper, Claire, Piper for 20 minutes in the early evening.\"\n19468,2015/10/08,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n19469,2015/10/08,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n19470,2015/10/09,\"I went grocery shopping with Emily. I bought some peaches, blackberries, chocolate milk, orange juice, sports drinks, guava juice, and toilet paper, toothpaste\",\"I went grocery shopping with Emily. I bought some peaches, blackberries, chocolate milk, orange juice, sports drinks, guava juice, and toilet paper, toothpaste\"\n19471,2015/10/09,I did hiking on 2015/10/09.,I did hiking on 2015/10/09.\n19472,2015/10/09,\"I had cereals for breakfast with Nevaeh, Lydia, Claire, Rylee, Olivia\",\"I had cereals for breakfast with Nevaeh, Lydia, Claire, Rylee, Olivia\"\n19473,2015/10/09,I ate pasta for lunch.,I ate pasta for lunch.\n19474,2015/10/09,\"I had dinner with Avery, Nora, Olivia, Nevaeh, Hazel, Piper, Rylee, Eva, Kinsley, Layla. I ate sushi.\",\"I had dinner with Avery, Nora, Olivia, Nevaeh, Hazel, Piper, Rylee, Eva, Kinsley, Layla. I ate sushi.\"\n19475,2015/10/09,I talked to Nora for 16 minutes late in the evening.,I talked to Nora for 16 minutes late in the evening.\n19476,2015/10/09,I spent 44 talking to Kinsley on various topics in the early evening.,I spent 44 talking to Kinsley on various topics in the early evening.\n19477,2015/10/09,\"I talked to Eva, Lydia, Avery, Layla for 6 minutes in the early afternoon.\",\"I talked to Eva, Lydia, Avery, Layla for 6 minutes in the early afternoon.\"\n19478,2015/10/09,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n19479,2015/10/09,I spent 24 minutes watching a movie on TV today.,I spent 24 minutes watching a movie on TV today.\n19480,2015/10/10,\"On 2015/10/10, I took Natalie on a date to a park\",\"On 2015/10/10, I took Natalie on a date to a park\"\n19481,2015/10/10,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n19482,2015/10/10,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n19483,2015/10/10,\"I had dinner with Carter, Andrew, Kayden, Emily. I ate pasta.\",\"I had dinner with Carter, Andrew, Kayden, Emily. I ate pasta.\"\n19484,2015/10/10,\"I talked to Avery, Hazel, Piper for 54 minutes in the late afternoon.\",\"I talked to Avery, Hazel, Piper for 54 minutes in the late afternoon.\"\n19485,2015/10/10,\"I talked to Olivia, Rylee, Eva, Hazel for 45 minutes in the early afternoon.\",\"I talked to Olivia, Rylee, Eva, Hazel for 45 minutes in the early afternoon.\"\n19486,2015/10/10,I talked to Nevaeh for 40 minutes in the morning.,I talked to Nevaeh for 40 minutes in the morning.\n19487,2015/10/10,\"I spent 20 talking to Olivia, Piper, Eva on various topics late in the evening.\",\"I spent 20 talking to Olivia, Piper, Eva on various topics late in the evening.\"\n19488,2015/10/10,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n19489,2015/10/10,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n19490,2015/10/11,\"I really enjoyed baking brown sugar-pear puff pastries, chocolate chip cookie in a mug, cranberry apple danish on 2015/10/11 with Kayden, Andrew, Emily, Carter at my place\",\"I really enjoyed baking brown sugar-pear puff pastries, chocolate chip cookie in a mug, cranberry apple danish on 2015/10/11 with Kayden, Andrew, Emily, Carter at my place\"\n19491,2015/10/11,I did biking on 2015/10/11.,I did biking on 2015/10/11.\n19492,2015/10/11,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n19493,2015/10/11,\"I had fish and chips for lunch with Kayden, Emily, Andrew, Carter\",\"I had fish and chips for lunch with Kayden, Emily, Andrew, Carter\"\n19494,2015/10/11,I ate steak for dinner.,I ate steak for dinner.\n19495,2015/10/11,\"I talked to Claire, Olivia, Layla, Eva for 48 minutes in the morning.\",\"I talked to Claire, Olivia, Layla, Eva for 48 minutes in the morning.\"\n19496,2015/10/11,\"I talked to Lydia, Kinsley for 49 minutes in the early evening.\",\"I talked to Lydia, Kinsley for 49 minutes in the early evening.\"\n19497,2015/10/11,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n19498,2015/10/11,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n19499,2015/10/12,\"I went grocery shopping with Kayden, Andrew. I bought some guava, peaches, tea, coffee, and toothbrush, mouthwash, conditioner, paper towel\",\"I went grocery shopping with Kayden, Andrew. I bought some guava, peaches, tea, coffee, and toothbrush, mouthwash, conditioner, paper towel\"\n19500,2015/10/12,I did HIIT on 2015/10/12.,I did HIIT on 2015/10/12.\n19501,2015/10/12,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n19502,2015/10/12,I had indian food for lunch with Carter,I had indian food for lunch with Carter\n19503,2015/10/12,I had indian food for dinner with Carter,I had indian food for dinner with Carter\n19504,2015/10/12,\"I spent 52 talking to Claire, Nora, Piper on various topics during lunch hours.\",\"I spent 52 talking to Claire, Nora, Piper on various topics during lunch hours.\"\n19505,2015/10/12,\"I spent 46 talking to Claire, Rylee on various topics in the early afternoon.\",\"I spent 46 talking to Claire, Rylee on various topics in the early afternoon.\"\n19506,2015/10/12,\"I talked to Rylee, Piper for 54 minutes in the late afternoon.\",\"I talked to Rylee, Piper for 54 minutes in the late afternoon.\"\n19507,2015/10/12,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n19508,2015/10/12,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n19509,2015/10/13,I went on a date with Hunter on 2015/10/13 at a park,I went on a date with Hunter on 2015/10/13 at a park\n19510,2015/10/13,I did swimming on 2015/10/13.,I did swimming on 2015/10/13.\n19511,2015/10/13,\"I had eggs, sausages, and bread for breakfast with Olivia, Rylee, Lydia, Avery, Eva, Nevaeh, Kinsley, Piper, Claire, Nora, Piper, Layla\",\"I had eggs, sausages, and bread for breakfast with Olivia, Rylee, Lydia, Avery, Eva, Nevaeh, Kinsley, Piper, Claire, Nora, Piper, Layla\"\n19512,2015/10/13,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n19513,2015/10/13,I ate chinese food for dinner.,I ate chinese food for dinner.\n19514,2015/10/13,\"I spent 7 talking to Nora, Hazel on various topics in the morning.\",\"I spent 7 talking to Nora, Hazel on various topics in the morning.\"\n19515,2015/10/13,\"I talked to Kinsley, Nora, Piper, Hazel for 10 minutes in the morning.\",\"I talked to Kinsley, Nora, Piper, Hazel for 10 minutes in the morning.\"\n19516,2015/10/13,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n19517,2015/10/13,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n19518,2015/10/14,I did biking on 2015/10/14.,I did biking on 2015/10/14.\n19519,2015/10/14,\"I had eggs, sausages, and bread for breakfast with Rylee, Hazel, Eva, Layla, Piper, Avery, Nora\",\"I had eggs, sausages, and bread for breakfast with Rylee, Hazel, Eva, Layla, Piper, Avery, Nora\"\n19520,2015/10/14,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n19521,2015/10/14,I ate chinese food for dinner.,I ate chinese food for dinner.\n19522,2015/10/14,I talked to Rylee for 30 minutes in the early evening.,I talked to Rylee for 30 minutes in the early evening.\n19523,2015/10/14,I spent 36 talking to Lydia on various topics in the early afternoon.,I spent 36 talking to Lydia on various topics in the early afternoon.\n19524,2015/10/14,\"I spent 43 talking to Eva, Lydia on various topics in the early evening.\",\"I spent 43 talking to Eva, Lydia on various topics in the early evening.\"\n19525,2015/10/14,\"I spent 49 talking to Claire, Kinsley on various topics in the morning.\",\"I spent 49 talking to Claire, Kinsley on various topics in the morning.\"\n19526,2015/10/14,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n19527,2015/10/14,I spent 38 minutes watching a movie on TV today.,I spent 38 minutes watching a movie on TV today.\n19528,2015/10/15,I did weight lifting on 2015/10/15.,I did weight lifting on 2015/10/15.\n19529,2015/10/15,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n19530,2015/10/15,\"I had lunch with Olivia, Nevaeh, Piper, Eva, Claire, Rylee, Piper, Hazel, Lydia, Avery, Nora, Layla, Kinsley. I ate pasta.\",\"I had lunch with Olivia, Nevaeh, Piper, Eva, Claire, Rylee, Piper, Hazel, Lydia, Avery, Nora, Layla, Kinsley. I ate pasta.\"\n19531,2015/10/15,I prepare pasta for dinner.,I prepare pasta for dinner.\n19532,2015/10/15,\"I talked to Piper, Avery, Layla for 53 minutes in the early afternoon.\",\"I talked to Piper, Avery, Layla for 53 minutes in the early afternoon.\"\n19533,2015/10/15,I spent 34 talking to Avery on various topics in the late afternoon.,I spent 34 talking to Avery on various topics in the late afternoon.\n19534,2015/10/15,\"I spent 8 talking to Piper, Hazel on various topics in the morning.\",\"I spent 8 talking to Piper, Hazel on various topics in the morning.\"\n19535,2015/10/15,\"I talked to Hazel, Claire, Nevaeh, Lydia for 28 minutes in the early evening.\",\"I talked to Hazel, Claire, Nevaeh, Lydia for 28 minutes in the early evening.\"\n19536,2015/10/15,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n19537,2015/10/15,I spent 40 minutes watching a movie on TV today.,I spent 40 minutes watching a movie on TV today.\n19538,2015/10/16,I did HIIT on 2015/10/16.,I did HIIT on 2015/10/16.\n19539,2015/10/16,\"I had eggs, sausages, and bread for breakfast with Jackson, Avery\",\"I had eggs, sausages, and bread for breakfast with Jackson, Avery\"\n19540,2015/10/16,\"I had lunch with Carter, Kayden, Emily, Andrew. I ate a burger.\",\"I had lunch with Carter, Kayden, Emily, Andrew. I ate a burger.\"\n19541,2015/10/16,\"I had dinner with Piper, Claire, Kinsley, Nevaeh, Layla, Eva, Nora. I ate tacos.\",\"I had dinner with Piper, Claire, Kinsley, Nevaeh, Layla, Eva, Nora. I ate tacos.\"\n19542,2015/10/16,I talked to Nevaeh for 8 minutes in the morning.,I talked to Nevaeh for 8 minutes in the morning.\n19543,2015/10/16,\"I spent 34 talking to Lydia, Nevaeh, Hazel, Olivia on various topics during lunch hours.\",\"I spent 34 talking to Lydia, Nevaeh, Hazel, Olivia on various topics during lunch hours.\"\n19544,2015/10/16,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n19545,2015/10/16,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n19546,2015/10/17,I went on a date with Aiden on 2015/10/17 at a restaurant,I went on a date with Aiden on 2015/10/17 at a restaurant\n19547,2015/10/17,\"I went grocery shopping. I bought some watermelons, strawberries, guava juice, pineapple juice, and mouth wash, toilet paper\",\"I went grocery shopping. I bought some watermelons, strawberries, guava juice, pineapple juice, and mouth wash, toilet paper\"\n19548,2015/10/17,I did biking on 2015/10/17.,I did biking on 2015/10/17.\n19549,2015/10/17,\"I had toast and cheese for breakfast with Emily, Andrew\",\"I had toast and cheese for breakfast with Emily, Andrew\"\n19550,2015/10/17,\"I had lunch with Kinsley, Eva, Olivia, Nevaeh, Piper, Layla. I ate tacos.\",\"I had lunch with Kinsley, Eva, Olivia, Nevaeh, Piper, Layla. I ate tacos.\"\n19551,2015/10/17,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n19552,2015/10/17,\"I talked to Hazel, Nora, Piper for 39 minutes in the morning.\",\"I talked to Hazel, Nora, Piper for 39 minutes in the morning.\"\n19553,2015/10/17,\"I spent 11 talking to Lydia, Piper, Avery, Rylee on various topics in the early evening.\",\"I spent 11 talking to Lydia, Piper, Avery, Rylee on various topics in the early evening.\"\n19554,2015/10/17,\"I spent 28 talking to Layla, Olivia, Eva, Kinsley on various topics during lunch hours.\",\"I spent 28 talking to Layla, Olivia, Eva, Kinsley on various topics during lunch hours.\"\n19555,2015/10/17,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n19556,2015/10/17,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n19557,2015/10/18,I did biking on 2015/10/18.,I did biking on 2015/10/18.\n19558,2015/10/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n19559,2015/10/18,I ate chinese food for lunch.,I ate chinese food for lunch.\n19560,2015/10/18,\"I had indian food for dinner with Nora, Rylee, Olivia\",\"I had indian food for dinner with Nora, Rylee, Olivia\"\n19561,2015/10/18,\"I talked to Kinsley, Hazel, Avery, Layla for 36 minutes in the late afternoon.\",\"I talked to Kinsley, Hazel, Avery, Layla for 36 minutes in the late afternoon.\"\n19562,2015/10/18,\"I spent 47 talking to Olivia, Nevaeh, Nora on various topics in the late afternoon.\",\"I spent 47 talking to Olivia, Nevaeh, Nora on various topics in the late afternoon.\"\n19563,2015/10/18,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n19564,2015/10/18,I spent 8 minutes watching a movie on TV today.,I spent 8 minutes watching a movie on TV today.\n19565,2015/10/19,I did HIIT on 2015/10/19.,I did HIIT on 2015/10/19.\n19566,2015/10/19,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n19567,2015/10/19,I ate steak for lunch.,I ate steak for lunch.\n19568,2015/10/19,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n19569,2015/10/19,\"I talked to Eva, Olivia, Lydia for 8 minutes in the late afternoon.\",\"I talked to Eva, Olivia, Lydia for 8 minutes in the late afternoon.\"\n19570,2015/10/19,\"I spent 43 talking to Avery, Kinsley on various topics late in the evening.\",\"I spent 43 talking to Avery, Kinsley on various topics late in the evening.\"\n19571,2015/10/19,\"I talked to Rylee, Piper for 17 minutes in the early afternoon.\",\"I talked to Rylee, Piper for 17 minutes in the early afternoon.\"\n19572,2015/10/19,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n19573,2015/10/19,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n19574,2015/10/20,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n19575,2015/10/20,I ate sandwich for lunch.,I ate sandwich for lunch.\n19576,2015/10/20,\"I had dinner with Rylee, Layla, Avery, Piper, Kinsley, Hazel, Nevaeh, Eva, Nora. I ate tacos.\",\"I had dinner with Rylee, Layla, Avery, Piper, Kinsley, Hazel, Nevaeh, Eva, Nora. I ate tacos.\"\n19577,2015/10/20,\"I talked to Piper, Layla for 15 minutes in the morning.\",\"I talked to Piper, Layla for 15 minutes in the morning.\"\n19578,2015/10/20,\"I spent 24 talking to Hazel, Eva, Layla, Piper on various topics during lunch hours.\",\"I spent 24 talking to Hazel, Eva, Layla, Piper on various topics during lunch hours.\"\n19579,2015/10/20,\"I talked to Nora, Kinsley, Claire for 55 minutes in the late afternoon.\",\"I talked to Nora, Kinsley, Claire for 55 minutes in the late afternoon.\"\n19580,2015/10/20,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n19581,2015/10/20,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n19582,2015/10/21,\"I bought some apples, mandarins, strawberries, coffee, orange juice, mineral water, toilet paper online.\",\"I bought some apples, mandarins, strawberries, coffee, orange juice, mineral water, toilet paper online.\"\n19583,2015/10/21,I did weight lifting on 2015/10/21.,I did weight lifting on 2015/10/21.\n19584,2015/10/21,\"I had peanut-butter-jam for breakfast with Piper, Rylee, Kinsley, Layla, Nevaeh, Hazel, Avery, Eva, Olivia, Lydia, Nora\",\"I had peanut-butter-jam for breakfast with Piper, Rylee, Kinsley, Layla, Nevaeh, Hazel, Avery, Eva, Olivia, Lydia, Nora\"\n19585,2015/10/21,I prepare steak for lunch.,I prepare steak for lunch.\n19586,2015/10/21,I ate a burger for dinner.,I ate a burger for dinner.\n19587,2015/10/21,\"I spent 25 talking to Eva, Lydia on various topics in the early evening.\",\"I spent 25 talking to Eva, Lydia on various topics in the early evening.\"\n19588,2015/10/21,\"I talked to Hazel, Olivia, Layla for 22 minutes late in the evening.\",\"I talked to Hazel, Olivia, Layla for 22 minutes late in the evening.\"\n19589,2015/10/21,\"I talked to Eva, Nevaeh, Piper for 17 minutes in the late afternoon.\",\"I talked to Eva, Nevaeh, Piper for 17 minutes in the late afternoon.\"\n19590,2015/10/21,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n19591,2015/10/21,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n19592,2015/10/22,I did running on 2015/10/22.,I did running on 2015/10/22.\n19593,2015/10/22,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n19594,2015/10/22,I ate sandwich for lunch.,I ate sandwich for lunch.\n19595,2015/10/22,I ate tacos for dinner.,I ate tacos for dinner.\n19596,2015/10/22,\"I spent 47 talking to Olivia, Avery on various topics in the early evening.\",\"I spent 47 talking to Olivia, Avery on various topics in the early evening.\"\n19597,2015/10/22,\"I talked to Piper, Rylee, Eva, Piper for 54 minutes in the morning.\",\"I talked to Piper, Rylee, Eva, Piper for 54 minutes in the morning.\"\n19598,2015/10/22,\"I spent 28 talking to Piper, Eva on various topics late in the evening.\",\"I spent 28 talking to Piper, Eva on various topics late in the evening.\"\n19599,2015/10/22,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n19600,2015/10/22,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n19601,2015/10/23,\"I bought some mandarins, chocolate milk, apple juice, sports drinks, mouthwash from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\",\"I bought some mandarins, chocolate milk, apple juice, sports drinks, mouthwash from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\"\n19602,2015/10/23,I did biking on 2015/10/23.,I did biking on 2015/10/23.\n19603,2015/10/23,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n19604,2015/10/23,I prepare a burger for lunch.,I prepare a burger for lunch.\n19605,2015/10/23,I prepare tacos for dinner.,I prepare tacos for dinner.\n19606,2015/10/23,\"I spent 46 talking to Piper, Piper, Nora, Layla on various topics in the morning.\",\"I spent 46 talking to Piper, Piper, Nora, Layla on various topics in the morning.\"\n19607,2015/10/23,\"I spent 22 talking to Piper, Nora on various topics in the early afternoon.\",\"I spent 22 talking to Piper, Nora on various topics in the early afternoon.\"\n19608,2015/10/23,\"I talked to Hazel, Nevaeh, Layla, Olivia for 46 minutes late in the evening.\",\"I talked to Hazel, Nevaeh, Layla, Olivia for 46 minutes late in the evening.\"\n19609,2015/10/23,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n19610,2015/10/23,I spent 40 minutes watching a movie on TV today.,I spent 40 minutes watching a movie on TV today.\n19611,2015/10/24,I did HIIT on 2015/10/24.,I did HIIT on 2015/10/24.\n19612,2015/10/24,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n19613,2015/10/24,\"I had lunch with Kinsley, Layla, Hazel, Rylee, Claire, Olivia, Lydia, Eva, Avery, Piper, Piper. I ate tacos.\",\"I had lunch with Kinsley, Layla, Hazel, Rylee, Claire, Olivia, Lydia, Eva, Avery, Piper, Piper. I ate tacos.\"\n19614,2015/10/24,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n19615,2015/10/24,\"I spent 49 talking to Rylee, Hazel, Lydia, Nora on various topics in the early afternoon.\",\"I spent 49 talking to Rylee, Hazel, Lydia, Nora on various topics in the early afternoon.\"\n19616,2015/10/24,\"I spent 15 talking to Rylee, Nora on various topics in the early evening.\",\"I spent 15 talking to Rylee, Nora on various topics in the early evening.\"\n19617,2015/10/24,\"I spent 47 talking to Kinsley, Nevaeh, Eva on various topics in the morning.\",\"I spent 47 talking to Kinsley, Nevaeh, Eva on various topics in the morning.\"\n19618,2015/10/24,\"I spent 54 talking to Nora, Claire on various topics in the early evening.\",\"I spent 54 talking to Nora, Claire on various topics in the early evening.\"\n19619,2015/10/24,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n19620,2015/10/24,I spent 49 minutes watching a documentary on TV today.,I spent 49 minutes watching a documentary on TV today.\n19621,2015/10/25,I went on a date with Axel on 2015/10/25 at a park,I went on a date with Axel on 2015/10/25 at a park\n19622,2015/10/25,I spent some time working out on 2015/10/25.,I spent some time working out on 2015/10/25.\n19623,2015/10/25,I did hiking on 2015/10/25.,I did hiking on 2015/10/25.\n19624,2015/10/25,\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\"\n19625,2015/10/25,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n19626,2015/10/25,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n19627,2015/10/25,\"I talked to Eva, Claire, Nevaeh for 14 minutes during lunch hours.\",\"I talked to Eva, Claire, Nevaeh for 14 minutes during lunch hours.\"\n19628,2015/10/25,I spent 27 talking to Claire on various topics during lunch hours.,I spent 27 talking to Claire on various topics during lunch hours.\n19629,2015/10/25,\"I talked to Eva, Olivia, Lydia, Claire for 18 minutes in the early afternoon.\",\"I talked to Eva, Olivia, Lydia, Claire for 18 minutes in the early afternoon.\"\n19630,2015/10/25,I spent 13 talking to Piper on various topics in the early evening.,I spent 13 talking to Piper on various topics in the early evening.\n19631,2015/10/25,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n19632,2015/10/25,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n19633,2015/10/26,I did weight lifting on 2015/10/26.,I did weight lifting on 2015/10/26.\n19634,2015/10/26,I ate cereals for breakfast.,I ate cereals for breakfast.\n19635,2015/10/26,\"I had lunch with Carter, Andrew, Emily. I ate sandwich.\",\"I had lunch with Carter, Andrew, Emily. I ate sandwich.\"\n19636,2015/10/26,\"I had tacos for dinner with Andrew, Emily, Carter\",\"I had tacos for dinner with Andrew, Emily, Carter\"\n19637,2015/10/26,I spent 35 talking to Hazel on various topics in the early evening.,I spent 35 talking to Hazel on various topics in the early evening.\n19638,2015/10/26,I talked to Piper for 20 minutes in the late afternoon.,I talked to Piper for 20 minutes in the late afternoon.\n19639,2015/10/26,\"I spent 21 talking to Hazel, Lydia on various topics in the early evening.\",\"I spent 21 talking to Hazel, Lydia on various topics in the early evening.\"\n19640,2015/10/26,I spent 19 talking to Piper on various topics in the morning.,I spent 19 talking to Piper on various topics in the morning.\n19641,2015/10/26,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n19642,2015/10/26,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n19643,2015/10/27,\"I bought some blackberries, orange juice, paper towel, toothpaste, mouth wash from the grocery store. I saw Willow, Jackson, Benjamin at the grocery store.\",\"I bought some blackberries, orange juice, paper towel, toothpaste, mouth wash from the grocery store. I saw Willow, Jackson, Benjamin at the grocery store.\"\n19644,2015/10/27,I did weight lifting on 2015/10/27.,I did weight lifting on 2015/10/27.\n19645,2015/10/27,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n19646,2015/10/27,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n19647,2015/10/27,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n19648,2015/10/27,I talked to Avery for 7 minutes during lunch hours.,I talked to Avery for 7 minutes during lunch hours.\n19649,2015/10/27,I talked to Layla for 12 minutes in the early evening.,I talked to Layla for 12 minutes in the early evening.\n19650,2015/10/27,\"I talked to Avery, Claire, Piper for 35 minutes late in the evening.\",\"I talked to Avery, Claire, Piper for 35 minutes late in the evening.\"\n19651,2015/10/27,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n19652,2015/10/27,I watched news for 35 minutes on TV today.,I watched news for 35 minutes on TV today.\n19653,2015/10/28,I did weight lifting on 2015/10/28.,I did weight lifting on 2015/10/28.\n19654,2015/10/28,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n19655,2015/10/28,I prepare sushi for lunch.,I prepare sushi for lunch.\n19656,2015/10/28,\"I had a burger for dinner with Avery, Willow, Benjamin\",\"I had a burger for dinner with Avery, Willow, Benjamin\"\n19657,2015/10/28,I spent 19 talking to Piper on various topics during lunch hours.,I spent 19 talking to Piper on various topics during lunch hours.\n19658,2015/10/28,\"I spent 7 talking to Layla, Rylee, Kinsley on various topics in the morning.\",\"I spent 7 talking to Layla, Rylee, Kinsley on various topics in the morning.\"\n19659,2015/10/28,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n19660,2015/10/28,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n19661,2015/10/29,I did biking on 2015/10/29.,I did biking on 2015/10/29.\n19662,2015/10/29,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n19663,2015/10/29,I had pasta for lunch with Willow,I had pasta for lunch with Willow\n19664,2015/10/29,\"I had steak for dinner with Kinsley, Avery, Hazel, Nevaeh, Lydia, Eva, Claire, Layla\",\"I had steak for dinner with Kinsley, Avery, Hazel, Nevaeh, Lydia, Eva, Claire, Layla\"\n19665,2015/10/29,\"I talked to Lydia, Claire for 32 minutes during lunch hours.\",\"I talked to Lydia, Claire for 32 minutes during lunch hours.\"\n19666,2015/10/29,\"I talked to Piper, Layla for 53 minutes during lunch hours.\",\"I talked to Piper, Layla for 53 minutes during lunch hours.\"\n19667,2015/10/29,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n19668,2015/10/29,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n19669,2015/10/30,\"I entertained Andrew, Kayden at my place on 2015/10/30 and bake birthday cupcakes with white wine buttercream, easy cherry skillet cake, dessert nachos\",\"I entertained Andrew, Kayden at my place on 2015/10/30 and bake birthday cupcakes with white wine buttercream, easy cherry skillet cake, dessert nachos\"\n19670,2015/10/30,I did biking on 2015/10/30.,I did biking on 2015/10/30.\n19671,2015/10/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n19672,2015/10/30,I had lunch. I ate steak.,I had lunch. I ate steak.\n19673,2015/10/30,\"I had dinner with Hazel, Piper, Nora, Eva, Avery, Olivia. I ate steak.\",\"I had dinner with Hazel, Piper, Nora, Eva, Avery, Olivia. I ate steak.\"\n19674,2015/10/30,\"I spent 32 talking to Piper, Layla, Nevaeh on various topics in the morning.\",\"I spent 32 talking to Piper, Layla, Nevaeh on various topics in the morning.\"\n19675,2015/10/30,\"I spent 22 talking to Layla, Avery, Eva on various topics during lunch hours.\",\"I spent 22 talking to Layla, Avery, Eva on various topics during lunch hours.\"\n19676,2015/10/30,I talked to Piper for 11 minutes in the late afternoon.,I talked to Piper for 11 minutes in the late afternoon.\n19677,2015/10/30,I talked to Piper for 53 minutes in the early evening.,I talked to Piper for 53 minutes in the early evening.\n19678,2015/10/30,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n19679,2015/10/30,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n19680,2015/10/31,\"On 2015/10/31, I took Elias on a date to a boba shop\",\"On 2015/10/31, I took Elias on a date to a boba shop\"\n19681,2015/10/31,\"I went grocery shopping. I bought some bananas, guava, strawberries, apples, chocolate milk, soda, guava juice, and mouth wash, mouthwash\",\"I went grocery shopping. I bought some bananas, guava, strawberries, apples, chocolate milk, soda, guava juice, and mouth wash, mouthwash\"\n19682,2015/10/31,I did weight lifting on 2015/10/31.,I did weight lifting on 2015/10/31.\n19683,2015/10/31,I had toast and cheese for breakfast with Kayden,I had toast and cheese for breakfast with Kayden\n19684,2015/10/31,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n19685,2015/10/31,\"I had dinner with Avery, Claire, Nevaeh, Hazel. I ate a burger.\",\"I had dinner with Avery, Claire, Nevaeh, Hazel. I ate a burger.\"\n19686,2015/10/31,I spent 33 talking to Nevaeh on various topics in the early evening.,I spent 33 talking to Nevaeh on various topics in the early evening.\n19687,2015/10/31,\"I spent 16 talking to Nevaeh, Eva, Piper on various topics in the early evening.\",\"I spent 16 talking to Nevaeh, Eva, Piper on various topics in the early evening.\"\n19688,2015/10/31,\"I spent 8 talking to Eva, Claire, Avery on various topics late in the evening.\",\"I spent 8 talking to Eva, Claire, Avery on various topics late in the evening.\"\n19689,2015/10/31,\"I spent 47 talking to Nora, Eva, Kinsley, Layla on various topics in the early evening.\",\"I spent 47 talking to Nora, Eva, Kinsley, Layla on various topics in the early evening.\"\n19690,2015/10/31,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n19691,2015/10/31,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n19692,2015/11/01,I did swimming on 2015/11/01.,I did swimming on 2015/11/01.\n19693,2015/11/01,\"I had toast and cheese for breakfast with Emily, Kayden\",\"I had toast and cheese for breakfast with Emily, Kayden\"\n19694,2015/11/01,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n19695,2015/11/01,I prepare tacos for dinner.,I prepare tacos for dinner.\n19696,2015/11/01,\"I spent 36 talking to Claire, Eva on various topics in the early evening.\",\"I spent 36 talking to Claire, Eva on various topics in the early evening.\"\n19697,2015/11/01,\"I talked to Olivia, Rylee, Layla, Piper for 54 minutes in the early evening.\",\"I talked to Olivia, Rylee, Layla, Piper for 54 minutes in the early evening.\"\n19698,2015/11/01,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n19699,2015/11/01,I spent 47 minutes watching a movie on TV today.,I spent 47 minutes watching a movie on TV today.\n19700,2015/11/02,\"I went grocery shopping with Willow, Jackson, Benjamin. I bought some watermelons, strawberries, mandarins, apricots, mango juice, mineral water, guava juice, soda, and toothbrush, toothpaste, shampoo, facial wash\",\"I went grocery shopping with Willow, Jackson, Benjamin. I bought some watermelons, strawberries, mandarins, apricots, mango juice, mineral water, guava juice, soda, and toothbrush, toothpaste, shampoo, facial wash\"\n19701,2015/11/02,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n19702,2015/11/02,\"I had sandwich for lunch with Benjamin, Avery\",\"I had sandwich for lunch with Benjamin, Avery\"\n19703,2015/11/02,\"I had dinner with Kayden, Carter, Emily, Andrew. I ate chinese food.\",\"I had dinner with Kayden, Carter, Emily, Andrew. I ate chinese food.\"\n19704,2015/11/02,I talked to Claire for 42 minutes late in the evening.,I talked to Claire for 42 minutes late in the evening.\n19705,2015/11/02,\"I spent 29 talking to Piper, Layla, Piper on various topics in the late afternoon.\",\"I spent 29 talking to Piper, Layla, Piper on various topics in the late afternoon.\"\n19706,2015/11/02,\"I talked to Rylee, Hazel for 15 minutes during lunch hours.\",\"I talked to Rylee, Hazel for 15 minutes during lunch hours.\"\n19707,2015/11/02,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n19708,2015/11/02,I spent 39 minutes watching a movie on TV today.,I spent 39 minutes watching a movie on TV today.\n19709,2015/11/03,I did weight lifting on 2015/11/03.,I did weight lifting on 2015/11/03.\n19710,2015/11/03,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n19711,2015/11/03,I ate indian food for lunch.,I ate indian food for lunch.\n19712,2015/11/03,\"I had sandwich for dinner with Emily, Andrew, Kayden\",\"I had sandwich for dinner with Emily, Andrew, Kayden\"\n19713,2015/11/03,\"I talked to Eva, Kinsley for 34 minutes during lunch hours.\",\"I talked to Eva, Kinsley for 34 minutes during lunch hours.\"\n19714,2015/11/03,\"I talked to Piper, Lydia for 19 minutes late in the evening.\",\"I talked to Piper, Lydia for 19 minutes late in the evening.\"\n19715,2015/11/03,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n19716,2015/11/03,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n19717,2015/11/04,\"On 2015/11/04, I took Austin on a date to a boba shop\",\"On 2015/11/04, I took Austin on a date to a boba shop\"\n19718,2015/11/04,I did HIIT on 2015/11/04.,I did HIIT on 2015/11/04.\n19719,2015/11/04,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n19720,2015/11/04,\"I had lunch with Emily, Kayden, Carter. I ate a burger.\",\"I had lunch with Emily, Kayden, Carter. I ate a burger.\"\n19721,2015/11/04,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n19722,2015/11/04,\"I spent 34 talking to Piper, Avery on various topics in the late afternoon.\",\"I spent 34 talking to Piper, Avery on various topics in the late afternoon.\"\n19723,2015/11/04,I talked to Layla for 55 minutes in the early afternoon.,I talked to Layla for 55 minutes in the early afternoon.\n19724,2015/11/04,\"I talked to Piper, Hazel, Eva for 55 minutes in the morning.\",\"I talked to Piper, Hazel, Eva for 55 minutes in the morning.\"\n19725,2015/11/04,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n19726,2015/11/04,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n19727,2015/11/05,I did hiking on 2015/11/05.,I did hiking on 2015/11/05.\n19728,2015/11/05,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n19729,2015/11/05,\"I had steak for lunch with Carter, Kayden, Andrew, Emily\",\"I had steak for lunch with Carter, Kayden, Andrew, Emily\"\n19730,2015/11/05,\"I had dinner with Layla, Nevaeh, Piper, Olivia, Hazel, Rylee, Claire. I ate chinese food.\",\"I had dinner with Layla, Nevaeh, Piper, Olivia, Hazel, Rylee, Claire. I ate chinese food.\"\n19731,2015/11/05,\"I talked to Kinsley, Lydia, Olivia, Claire for 34 minutes in the early evening.\",\"I talked to Kinsley, Lydia, Olivia, Claire for 34 minutes in the early evening.\"\n19732,2015/11/05,I spent 12 talking to Claire on various topics in the early evening.,I spent 12 talking to Claire on various topics in the early evening.\n19733,2015/11/05,I talked to Layla for 37 minutes in the early evening.,I talked to Layla for 37 minutes in the early evening.\n19734,2015/11/05,I spent 36 talking to Piper on various topics during lunch hours.,I spent 36 talking to Piper on various topics during lunch hours.\n19735,2015/11/05,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n19736,2015/11/05,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n19737,2015/11/06,\"I bought some raspberries, mangos, watermelons, sports drinks, toothpaste, toothbrush, mouth wash, toilet paper from the grocery store. I saw Nevaeh, Piper, Eva, Nora, Rylee, Claire, Hazel, Layla, Lydia, Kinsley, Piper, Olivia at the grocery store.\",\"I bought some raspberries, mangos, watermelons, sports drinks, toothpaste, toothbrush, mouth wash, toilet paper from the grocery store. I saw Nevaeh, Piper, Eva, Nora, Rylee, Claire, Hazel, Layla, Lydia, Kinsley, Piper, Olivia at the grocery store.\"\n19738,2015/11/06,I did HIIT on 2015/11/06.,I did HIIT on 2015/11/06.\n19739,2015/11/06,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n19740,2015/11/06,I ate tacos for lunch.,I ate tacos for lunch.\n19741,2015/11/06,\"I had steak for dinner with Nora, Piper, Piper, Layla, Claire, Rylee, Olivia, Hazel\",\"I had steak for dinner with Nora, Piper, Piper, Layla, Claire, Rylee, Olivia, Hazel\"\n19742,2015/11/06,\"I talked to Avery, Kinsley for 37 minutes late in the evening.\",\"I talked to Avery, Kinsley for 37 minutes late in the evening.\"\n19743,2015/11/06,\"I talked to Rylee, Olivia, Eva, Piper for 28 minutes in the morning.\",\"I talked to Rylee, Olivia, Eva, Piper for 28 minutes in the morning.\"\n19744,2015/11/06,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n19745,2015/11/06,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n19746,2015/11/07,I did running on 2015/11/07.,I did running on 2015/11/07.\n19747,2015/11/07,\"I had pancakes for breakfast with Andrew, Kayden, Carter\",\"I had pancakes for breakfast with Andrew, Kayden, Carter\"\n19748,2015/11/07,I had lunch with Emily. I ate steak.,I had lunch with Emily. I ate steak.\n19749,2015/11/07,\"I had dinner with Kayden, Emily, Carter. I ate steak.\",\"I had dinner with Kayden, Emily, Carter. I ate steak.\"\n19750,2015/11/07,I talked to Eva for 10 minutes in the late afternoon.,I talked to Eva for 10 minutes in the late afternoon.\n19751,2015/11/07,I spent 41 talking to Layla on various topics in the early afternoon.,I spent 41 talking to Layla on various topics in the early afternoon.\n19752,2015/11/07,\"I talked to Layla, Nora, Kinsley for 36 minutes in the early evening.\",\"I talked to Layla, Nora, Kinsley for 36 minutes in the early evening.\"\n19753,2015/11/07,\"I talked to Piper, Nevaeh, Nora for 44 minutes in the early evening.\",\"I talked to Piper, Nevaeh, Nora for 44 minutes in the early evening.\"\n19754,2015/11/07,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n19755,2015/11/07,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n19756,2015/11/08,\"On 2015/11/08, I took Delilah on a date to a park\",\"On 2015/11/08, I took Delilah on a date to a park\"\n19757,2015/11/08,I did swimming on 2015/11/08.,I did swimming on 2015/11/08.\n19758,2015/11/08,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n19759,2015/11/08,I had lunch with Avery. I ate a burger.,I had lunch with Avery. I ate a burger.\n19760,2015/11/08,I ate tacos for dinner.,I ate tacos for dinner.\n19761,2015/11/08,\"I spent 13 talking to Avery, Lydia on various topics during lunch hours.\",\"I spent 13 talking to Avery, Lydia on various topics during lunch hours.\"\n19762,2015/11/08,\"I talked to Hazel, Kinsley, Eva for 44 minutes in the early afternoon.\",\"I talked to Hazel, Kinsley, Eva for 44 minutes in the early afternoon.\"\n19763,2015/11/08,\"I talked to Nora, Layla, Kinsley for 50 minutes in the morning.\",\"I talked to Nora, Layla, Kinsley for 50 minutes in the morning.\"\n19764,2015/11/08,\"I talked to Olivia, Nora, Piper for 51 minutes in the morning.\",\"I talked to Olivia, Nora, Piper for 51 minutes in the morning.\"\n19765,2015/11/08,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n19766,2015/11/08,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n19767,2015/11/09,\"I had breakfast with Andrew, Carter, Kayden. I ate toast and cheese.\",\"I had breakfast with Andrew, Carter, Kayden. I ate toast and cheese.\"\n19768,2015/11/09,\"I had lunch with Emily, Carter, Andrew, Kayden. I ate indian food.\",\"I had lunch with Emily, Carter, Andrew, Kayden. I ate indian food.\"\n19769,2015/11/09,\"I had dinner with Andrew, Kayden. I ate fish and chips.\",\"I had dinner with Andrew, Kayden. I ate fish and chips.\"\n19770,2015/11/09,I talked to Hazel for 10 minutes in the early afternoon.,I talked to Hazel for 10 minutes in the early afternoon.\n19771,2015/11/09,\"I spent 14 talking to Nora, Olivia, Rylee on various topics in the early afternoon.\",\"I spent 14 talking to Nora, Olivia, Rylee on various topics in the early afternoon.\"\n19772,2015/11/09,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n19773,2015/11/09,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n19774,2015/11/10,\"I went grocery shopping. I bought some apricots, pineapple juice, sports drinks, milk, guava juice, and shaving cream, toothpaste, body lotion, shampoo\",\"I went grocery shopping. I bought some apricots, pineapple juice, sports drinks, milk, guava juice, and shaving cream, toothpaste, body lotion, shampoo\"\n19775,2015/11/10,I did running on 2015/11/10.,I did running on 2015/11/10.\n19776,2015/11/10,I had cereals for breakfast with Andrew,I had cereals for breakfast with Andrew\n19777,2015/11/10,I prepare steak for lunch.,I prepare steak for lunch.\n19778,2015/11/10,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n19779,2015/11/10,\"I spent 24 talking to Kinsley, Piper, Lydia on various topics in the early afternoon.\",\"I spent 24 talking to Kinsley, Piper, Lydia on various topics in the early afternoon.\"\n19780,2015/11/10,\"I spent 42 talking to Piper, Olivia, Kinsley, Claire on various topics in the early afternoon.\",\"I spent 42 talking to Piper, Olivia, Kinsley, Claire on various topics in the early afternoon.\"\n19781,2015/11/10,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n19782,2015/11/10,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n19783,2015/11/11,I did weight lifting on 2015/11/11.,I did weight lifting on 2015/11/11.\n19784,2015/11/11,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n19785,2015/11/11,\"I had steak for lunch with Eva, Kinsley, Olivia, Nevaeh, Lydia, Piper, Hazel, Nora, Avery, Layla, Rylee, Claire, Piper\",\"I had steak for lunch with Eva, Kinsley, Olivia, Nevaeh, Lydia, Piper, Hazel, Nora, Avery, Layla, Rylee, Claire, Piper\"\n19786,2015/11/11,\"I had indian food for dinner with Andrew, Kayden, Emily\",\"I had indian food for dinner with Andrew, Kayden, Emily\"\n19787,2015/11/11,\"I talked to Lydia, Avery for 26 minutes during lunch hours.\",\"I talked to Lydia, Avery for 26 minutes during lunch hours.\"\n19788,2015/11/11,\"I talked to Olivia, Nevaeh for 12 minutes late in the evening.\",\"I talked to Olivia, Nevaeh for 12 minutes late in the evening.\"\n19789,2015/11/11,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n19790,2015/11/11,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n19791,2015/11/12,I did weight lifting on 2015/11/12.,I did weight lifting on 2015/11/12.\n19792,2015/11/12,\"I had toast and cheese for breakfast with Kayden, Andrew, Emily\",\"I had toast and cheese for breakfast with Kayden, Andrew, Emily\"\n19793,2015/11/12,\"I had lunch with Nevaeh, Nora, Piper, Piper, Layla, Rylee, Lydia, Claire, Olivia. I ate a burger.\",\"I had lunch with Nevaeh, Nora, Piper, Piper, Layla, Rylee, Lydia, Claire, Olivia. I ate a burger.\"\n19794,2015/11/12,\"I had steak for dinner with Carter, Emily, Andrew\",\"I had steak for dinner with Carter, Emily, Andrew\"\n19795,2015/11/12,\"I spent 20 talking to Avery, Olivia on various topics late in the evening.\",\"I spent 20 talking to Avery, Olivia on various topics late in the evening.\"\n19796,2015/11/12,\"I talked to Eva, Piper, Kinsley, Layla for 41 minutes in the early afternoon.\",\"I talked to Eva, Piper, Kinsley, Layla for 41 minutes in the early afternoon.\"\n19797,2015/11/12,\"I talked to Layla, Eva, Nevaeh for 17 minutes late in the evening.\",\"I talked to Layla, Eva, Nevaeh for 17 minutes late in the evening.\"\n19798,2015/11/12,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n19799,2015/11/12,I spent 20 minutes watching a movie on TV today.,I spent 20 minutes watching a movie on TV today.\n19800,2015/11/13,I went on a date with Wesley on 2015/11/13 at a restaurant,I went on a date with Wesley on 2015/11/13 at a restaurant\n19801,2015/11/13,\"I went grocery shopping with Emily. I bought some apricots, strawberries, soda, and shaving cream, body lotion\",\"I went grocery shopping with Emily. I bought some apricots, strawberries, soda, and shaving cream, body lotion\"\n19802,2015/11/13,I did running on 2015/11/13.,I did running on 2015/11/13.\n19803,2015/11/13,\"I had breakfast with Piper, Claire, Hazel, Eva, Layla. I ate peanut-butter-jam.\",\"I had breakfast with Piper, Claire, Hazel, Eva, Layla. I ate peanut-butter-jam.\"\n19804,2015/11/13,\"I had lunch with Rylee, Eva, Hazel, Olivia. I ate tacos.\",\"I had lunch with Rylee, Eva, Hazel, Olivia. I ate tacos.\"\n19805,2015/11/13,\"I had dinner with Andrew, Emily. I ate fish and chips.\",\"I had dinner with Andrew, Emily. I ate fish and chips.\"\n19806,2015/11/13,\"I spent 9 talking to Piper, Kinsley, Layla on various topics in the late afternoon.\",\"I spent 9 talking to Piper, Kinsley, Layla on various topics in the late afternoon.\"\n19807,2015/11/13,\"I talked to Eva, Nora, Olivia, Claire for 19 minutes during lunch hours.\",\"I talked to Eva, Nora, Olivia, Claire for 19 minutes during lunch hours.\"\n19808,2015/11/13,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n19809,2015/11/13,I spent 27 minutes watching a documentary on TV today.,I spent 27 minutes watching a documentary on TV today.\n19810,2015/11/14,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n19811,2015/11/14,\"I had steak for lunch with Avery, Benjamin, Jackson, Willow\",\"I had steak for lunch with Avery, Benjamin, Jackson, Willow\"\n19812,2015/11/14,I prepare a burger for dinner.,I prepare a burger for dinner.\n19813,2015/11/14,\"I talked to Rylee, Kinsley, Layla for 33 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley, Layla for 33 minutes in the early afternoon.\"\n19814,2015/11/14,\"I spent 37 talking to Eva, Piper, Claire on various topics during lunch hours.\",\"I spent 37 talking to Eva, Piper, Claire on various topics during lunch hours.\"\n19815,2015/11/14,I talked to Piper for 18 minutes in the morning.,I talked to Piper for 18 minutes in the morning.\n19816,2015/11/14,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n19817,2015/11/14,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n19818,2015/11/15,I did running on 2015/11/15.,I did running on 2015/11/15.\n19819,2015/11/15,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n19820,2015/11/15,\"I had fish and chips for lunch with Andrew, Carter\",\"I had fish and chips for lunch with Andrew, Carter\"\n19821,2015/11/15,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n19822,2015/11/15,\"I spent 32 talking to Piper, Rylee, Layla on various topics in the early evening.\",\"I spent 32 talking to Piper, Rylee, Layla on various topics in the early evening.\"\n19823,2015/11/15,\"I spent 52 talking to Piper, Piper on various topics in the late afternoon.\",\"I spent 52 talking to Piper, Piper on various topics in the late afternoon.\"\n19824,2015/11/15,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n19825,2015/11/15,I spent 24 minutes watching news on TV today.,I spent 24 minutes watching news on TV today.\n19826,2015/11/16,I did swimming on 2015/11/16.,I did swimming on 2015/11/16.\n19827,2015/11/16,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n19828,2015/11/16,\"I had sandwich for lunch with Carter, Emily, Andrew, Kayden\",\"I had sandwich for lunch with Carter, Emily, Andrew, Kayden\"\n19829,2015/11/16,I had dinner. I ate steak.,I had dinner. I ate steak.\n19830,2015/11/16,I talked to Layla for 6 minutes in the morning.,I talked to Layla for 6 minutes in the morning.\n19831,2015/11/16,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n19832,2015/11/16,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n19833,2015/11/17,\"I bought some bananas, mangos, soda, chocolate milk, toothpaste from the grocery store. I saw Andrew, Carter at the grocery store.\",\"I bought some bananas, mangos, soda, chocolate milk, toothpaste from the grocery store. I saw Andrew, Carter at the grocery store.\"\n19834,2015/11/17,I did hiking on 2015/11/17.,I did hiking on 2015/11/17.\n19835,2015/11/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n19836,2015/11/17,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n19837,2015/11/17,\"I had steak for dinner with Kayden, Emily\",\"I had steak for dinner with Kayden, Emily\"\n19838,2015/11/17,\"I spent 8 talking to Hazel, Kinsley, Piper on various topics during lunch hours.\",\"I spent 8 talking to Hazel, Kinsley, Piper on various topics during lunch hours.\"\n19839,2015/11/17,\"I spent 12 talking to Avery, Lydia on various topics late in the evening.\",\"I spent 12 talking to Avery, Lydia on various topics late in the evening.\"\n19840,2015/11/17,I talked to Nevaeh for 5 minutes in the late afternoon.,I talked to Nevaeh for 5 minutes in the late afternoon.\n19841,2015/11/17,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n19842,2015/11/17,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n19843,2015/11/18,I did biking on 2015/11/18.,I did biking on 2015/11/18.\n19844,2015/11/18,I ate cereals for breakfast.,I ate cereals for breakfast.\n19845,2015/11/18,I ate pasta for lunch.,I ate pasta for lunch.\n19846,2015/11/18,I prepare sushi for dinner.,I prepare sushi for dinner.\n19847,2015/11/18,\"I talked to Nevaeh, Olivia, Hazel for 39 minutes in the early afternoon.\",\"I talked to Nevaeh, Olivia, Hazel for 39 minutes in the early afternoon.\"\n19848,2015/11/18,\"I spent 11 talking to Nora, Avery on various topics in the early afternoon.\",\"I spent 11 talking to Nora, Avery on various topics in the early afternoon.\"\n19849,2015/11/18,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n19850,2015/11/18,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n19851,2015/11/19,\"On 2015/11/19, I took Madelyn on a date to a restaurant\",\"On 2015/11/19, I took Madelyn on a date to a restaurant\"\n19852,2015/11/19,I did running on 2015/11/19.,I did running on 2015/11/19.\n19853,2015/11/19,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n19854,2015/11/19,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n19855,2015/11/19,I had steak for dinner with Benjamin,I had steak for dinner with Benjamin\n19856,2015/11/19,I spent 53 talking to Eva on various topics in the late afternoon.,I spent 53 talking to Eva on various topics in the late afternoon.\n19857,2015/11/19,\"I spent 15 talking to Rylee, Hazel, Nevaeh, Lydia on various topics in the late afternoon.\",\"I spent 15 talking to Rylee, Hazel, Nevaeh, Lydia on various topics in the late afternoon.\"\n19858,2015/11/19,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n19859,2015/11/19,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n19860,2015/11/20,\"I bought some mandarins, blackberries, raspberries, blueberries, soda, guava juice, mango juice, toothpaste, body lotion, mouthwash, conditioner online.\",\"I bought some mandarins, blackberries, raspberries, blueberries, soda, guava juice, mango juice, toothpaste, body lotion, mouthwash, conditioner online.\"\n19861,2015/11/20,I did hiking on 2015/11/20.,I did hiking on 2015/11/20.\n19862,2015/11/20,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n19863,2015/11/20,I had lunch. I ate steak.,I had lunch. I ate steak.\n19864,2015/11/20,\"I had chinese food for dinner with Andrew, Kayden, Carter, Emily\",\"I had chinese food for dinner with Andrew, Kayden, Carter, Emily\"\n19865,2015/11/20,\"I talked to Eva, Hazel, Olivia for 37 minutes in the early evening.\",\"I talked to Eva, Hazel, Olivia for 37 minutes in the early evening.\"\n19866,2015/11/20,\"I spent 30 talking to Kinsley, Eva, Piper, Hazel on various topics in the early evening.\",\"I spent 30 talking to Kinsley, Eva, Piper, Hazel on various topics in the early evening.\"\n19867,2015/11/20,I talked to Rylee for 32 minutes during lunch hours.,I talked to Rylee for 32 minutes during lunch hours.\n19868,2015/11/20,\"I spent 10 talking to Kinsley, Hazel, Nevaeh on various topics in the early evening.\",\"I spent 10 talking to Kinsley, Hazel, Nevaeh on various topics in the early evening.\"\n19869,2015/11/20,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n19870,2015/11/20,I watched news for 52 minutes on TV today.,I watched news for 52 minutes on TV today.\n19871,2015/11/21,I did hiking on 2015/11/21.,I did hiking on 2015/11/21.\n19872,2015/11/21,\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Emily, Carter\",\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Emily, Carter\"\n19873,2015/11/21,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n19874,2015/11/21,\"I had dinner with Avery, Benjamin, Willow, Jackson. I ate tacos.\",\"I had dinner with Avery, Benjamin, Willow, Jackson. I ate tacos.\"\n19875,2015/11/21,\"I spent 22 talking to Piper, Kinsley on various topics in the morning.\",\"I spent 22 talking to Piper, Kinsley on various topics in the morning.\"\n19876,2015/11/21,\"I spent 6 talking to Piper, Kinsley, Layla on various topics during lunch hours.\",\"I spent 6 talking to Piper, Kinsley, Layla on various topics during lunch hours.\"\n19877,2015/11/21,\"I spent 11 talking to Nora, Kinsley, Piper on various topics in the morning.\",\"I spent 11 talking to Nora, Kinsley, Piper on various topics in the morning.\"\n19878,2015/11/21,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n19879,2015/11/21,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n19880,2015/11/22,I ate cereals for breakfast.,I ate cereals for breakfast.\n19881,2015/11/22,\"I had chinese food for lunch with Kayden, Emily, Carter, Andrew\",\"I had chinese food for lunch with Kayden, Emily, Carter, Andrew\"\n19882,2015/11/22,I ate chinese food for dinner.,I ate chinese food for dinner.\n19883,2015/11/22,\"I talked to Olivia, Nevaeh, Layla for 10 minutes in the early evening.\",\"I talked to Olivia, Nevaeh, Layla for 10 minutes in the early evening.\"\n19884,2015/11/22,\"I spent 39 talking to Kinsley, Claire, Piper on various topics in the late afternoon.\",\"I spent 39 talking to Kinsley, Claire, Piper on various topics in the late afternoon.\"\n19885,2015/11/22,\"I spent 24 talking to Eva, Hazel, Piper, Nevaeh on various topics late in the evening.\",\"I spent 24 talking to Eva, Hazel, Piper, Nevaeh on various topics late in the evening.\"\n19886,2015/11/22,\"I spent 40 talking to Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 40 talking to Piper, Nevaeh on various topics in the late afternoon.\"\n19887,2015/11/22,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n19888,2015/11/22,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n19889,2015/11/23,I did biking on 2015/11/23.,I did biking on 2015/11/23.\n19890,2015/11/23,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n19891,2015/11/23,\"I had fish and chips for lunch with Avery, Willow, Jackson, Benjamin\",\"I had fish and chips for lunch with Avery, Willow, Jackson, Benjamin\"\n19892,2015/11/23,\"I had fish and chips for dinner with Emily, Kayden, Andrew, Carter\",\"I had fish and chips for dinner with Emily, Kayden, Andrew, Carter\"\n19893,2015/11/23,\"I talked to Lydia, Claire, Layla, Piper for 15 minutes in the morning.\",\"I talked to Lydia, Claire, Layla, Piper for 15 minutes in the morning.\"\n19894,2015/11/23,I talked to Rylee for 53 minutes late in the evening.,I talked to Rylee for 53 minutes late in the evening.\n19895,2015/11/23,\"I talked to Hazel, Avery, Nevaeh, Kinsley for 19 minutes in the late afternoon.\",\"I talked to Hazel, Avery, Nevaeh, Kinsley for 19 minutes in the late afternoon.\"\n19896,2015/11/23,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n19897,2015/11/23,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n19898,2015/11/24,I did hiking on 2015/11/24.,I did hiking on 2015/11/24.\n19899,2015/11/24,\"I had breakfast with Rylee, Layla, Lydia, Avery, Eva, Piper, Nevaeh, Kinsley, Piper, Hazel, Nora. I ate oatmeal.\",\"I had breakfast with Rylee, Layla, Lydia, Avery, Eva, Piper, Nevaeh, Kinsley, Piper, Hazel, Nora. I ate oatmeal.\"\n19900,2015/11/24,\"I had pasta for lunch with Rylee, Eva, Piper\",\"I had pasta for lunch with Rylee, Eva, Piper\"\n19901,2015/11/24,I ate a burger for dinner.,I ate a burger for dinner.\n19902,2015/11/24,I spent 36 talking to Rylee on various topics in the morning.,I spent 36 talking to Rylee on various topics in the morning.\n19903,2015/11/24,\"I spent 35 talking to Kinsley, Layla, Eva on various topics late in the evening.\",\"I spent 35 talking to Kinsley, Layla, Eva on various topics late in the evening.\"\n19904,2015/11/24,I spent 27 talking to Avery on various topics in the early evening.,I spent 27 talking to Avery on various topics in the early evening.\n19905,2015/11/24,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n19906,2015/11/24,I spent 27 minutes watching a movie on TV today.,I spent 27 minutes watching a movie on TV today.\n19907,2015/11/25,\"I went grocery shopping. I bought some strawberries, nectarines, peaches, raspberries, coffee, and shaving cream, mouthwash, body lotion\",\"I went grocery shopping. I bought some strawberries, nectarines, peaches, raspberries, coffee, and shaving cream, mouthwash, body lotion\"\n19908,2015/11/25,I did running on 2015/11/25.,I did running on 2015/11/25.\n19909,2015/11/25,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n19910,2015/11/25,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n19911,2015/11/25,I ate pasta for dinner.,I ate pasta for dinner.\n19912,2015/11/25,\"I spent 49 talking to Layla, Piper, Piper, Nora on various topics in the late afternoon.\",\"I spent 49 talking to Layla, Piper, Piper, Nora on various topics in the late afternoon.\"\n19913,2015/11/25,\"I talked to Lydia, Nevaeh, Piper, Hazel for 33 minutes during lunch hours.\",\"I talked to Lydia, Nevaeh, Piper, Hazel for 33 minutes during lunch hours.\"\n19914,2015/11/25,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n19915,2015/11/25,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n19916,2015/11/26,\"On 2015/11/26, I took Leah on a date to a restaurant\",\"On 2015/11/26, I took Leah on a date to a restaurant\"\n19917,2015/11/26,\"I bought some apples, milk, mango juice, facial wash, toothpaste from the grocery store. I saw Nora, Hazel, Piper, Claire, Rylee, Layla, Avery, Kinsley, Lydia, Eva, Olivia at the grocery store.\",\"I bought some apples, milk, mango juice, facial wash, toothpaste from the grocery store. I saw Nora, Hazel, Piper, Claire, Rylee, Layla, Avery, Kinsley, Lydia, Eva, Olivia at the grocery store.\"\n19918,2015/11/26,I did hiking on 2015/11/26.,I did hiking on 2015/11/26.\n19919,2015/11/26,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n19920,2015/11/26,I ate indian food for lunch.,I ate indian food for lunch.\n19921,2015/11/26,I had indian food for dinner with Andrew,I had indian food for dinner with Andrew\n19922,2015/11/26,\"I spent 26 talking to Eva, Lydia on various topics late in the evening.\",\"I spent 26 talking to Eva, Lydia on various topics late in the evening.\"\n19923,2015/11/26,\"I spent 32 talking to Lydia, Eva on various topics in the early evening.\",\"I spent 32 talking to Lydia, Eva on various topics in the early evening.\"\n19924,2015/11/26,I talked to Piper for 13 minutes in the morning.,I talked to Piper for 13 minutes in the morning.\n19925,2015/11/26,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n19926,2015/11/26,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n19927,2015/11/27,I did HIIT on 2015/11/27.,I did HIIT on 2015/11/27.\n19928,2015/11/27,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n19929,2015/11/27,\"I had lunch with Piper, Claire, Eva, Lydia, Piper, Olivia, Nora. I ate steak.\",\"I had lunch with Piper, Claire, Eva, Lydia, Piper, Olivia, Nora. I ate steak.\"\n19930,2015/11/27,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n19931,2015/11/27,\"I spent 12 talking to Eva, Hazel, Lydia, Piper on various topics in the early evening.\",\"I spent 12 talking to Eva, Hazel, Lydia, Piper on various topics in the early evening.\"\n19932,2015/11/27,\"I talked to Olivia, Hazel, Nora for 40 minutes in the early evening.\",\"I talked to Olivia, Hazel, Nora for 40 minutes in the early evening.\"\n19933,2015/11/27,I talked to Olivia for 31 minutes late in the evening.,I talked to Olivia for 31 minutes late in the evening.\n19934,2015/11/27,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n19935,2015/11/27,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n19936,2015/11/28,I did running on 2015/11/28.,I did running on 2015/11/28.\n19937,2015/11/28,I had breakfast with Benjamin. I ate cereals.,I had breakfast with Benjamin. I ate cereals.\n19938,2015/11/28,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n19939,2015/11/28,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n19940,2015/11/28,I talked to Olivia for 37 minutes during lunch hours.,I talked to Olivia for 37 minutes during lunch hours.\n19941,2015/11/28,\"I talked to Rylee, Hazel, Claire for 36 minutes in the morning.\",\"I talked to Rylee, Hazel, Claire for 36 minutes in the morning.\"\n19942,2015/11/28,I talked to Hazel for 38 minutes in the late afternoon.,I talked to Hazel for 38 minutes in the late afternoon.\n19943,2015/11/28,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n19944,2015/11/28,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n19945,2015/11/29,I did swimming on 2015/11/29.,I did swimming on 2015/11/29.\n19946,2015/11/29,\"I had breakfast with Emily, Andrew. I ate oatmeal.\",\"I had breakfast with Emily, Andrew. I ate oatmeal.\"\n19947,2015/11/29,I had lunch with Kayden. I ate chinese food.,I had lunch with Kayden. I ate chinese food.\n19948,2015/11/29,\"I had dinner with Nora, Piper, Rylee, Hazel, Nevaeh, Eva, Piper, Claire, Avery, Lydia, Olivia, Kinsley. I ate sushi.\",\"I had dinner with Nora, Piper, Rylee, Hazel, Nevaeh, Eva, Piper, Claire, Avery, Lydia, Olivia, Kinsley. I ate sushi.\"\n19949,2015/11/29,\"I spent 11 talking to Piper, Avery, Nora, Nevaeh on various topics in the late afternoon.\",\"I spent 11 talking to Piper, Avery, Nora, Nevaeh on various topics in the late afternoon.\"\n19950,2015/11/29,I spent 25 talking to Hazel on various topics in the early evening.,I spent 25 talking to Hazel on various topics in the early evening.\n19951,2015/11/29,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n19952,2015/11/29,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n19953,2015/11/30,I did swimming on 2015/11/30.,I did swimming on 2015/11/30.\n19954,2015/11/30,\"I had oatmeal for breakfast with Andrew, Emily, Carter\",\"I had oatmeal for breakfast with Andrew, Emily, Carter\"\n19955,2015/11/30,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n19956,2015/11/30,I ate a burger for dinner.,I ate a burger for dinner.\n19957,2015/11/30,\"I talked to Lydia, Kinsley, Olivia for 5 minutes in the late afternoon.\",\"I talked to Lydia, Kinsley, Olivia for 5 minutes in the late afternoon.\"\n19958,2015/11/30,\"I spent 32 talking to Nevaeh, Hazel, Eva on various topics in the early evening.\",\"I spent 32 talking to Nevaeh, Hazel, Eva on various topics in the early evening.\"\n19959,2015/11/30,\"I spent 42 talking to Kinsley, Olivia on various topics in the late afternoon.\",\"I spent 42 talking to Kinsley, Olivia on various topics in the late afternoon.\"\n19960,2015/11/30,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n19961,2015/11/30,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n19962,2015/12/01,I did hiking on 2015/12/01.,I did hiking on 2015/12/01.\n19963,2015/12/01,\"I had breakfast with Hazel, Piper, Eva, Lydia, Nora, Rylee, Olivia, Layla, Kinsley, Nevaeh, Claire, Avery, Piper. I ate toast and cheese.\",\"I had breakfast with Hazel, Piper, Eva, Lydia, Nora, Rylee, Olivia, Layla, Kinsley, Nevaeh, Claire, Avery, Piper. I ate toast and cheese.\"\n19964,2015/12/01,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n19965,2015/12/01,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n19966,2015/12/01,\"I talked to Olivia, Lydia for 32 minutes in the late afternoon.\",\"I talked to Olivia, Lydia for 32 minutes in the late afternoon.\"\n19967,2015/12/01,\"I talked to Rylee, Piper, Nora, Olivia for 49 minutes during lunch hours.\",\"I talked to Rylee, Piper, Nora, Olivia for 49 minutes during lunch hours.\"\n19968,2015/12/01,\"I spent 39 talking to Nevaeh, Nora, Olivia on various topics late in the evening.\",\"I spent 39 talking to Nevaeh, Nora, Olivia on various topics late in the evening.\"\n19969,2015/12/01,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n19970,2015/12/01,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n19971,2015/12/02,I did swimming on 2015/12/02.,I did swimming on 2015/12/02.\n19972,2015/12/02,\"I had breakfast with Andrew, Kayden, Emily. I ate toast and cheese.\",\"I had breakfast with Andrew, Kayden, Emily. I ate toast and cheese.\"\n19973,2015/12/02,I had lunch. I ate steak.,I had lunch. I ate steak.\n19974,2015/12/02,I prepare pasta for dinner.,I prepare pasta for dinner.\n19975,2015/12/02,\"I talked to Claire, Avery for 40 minutes late in the evening.\",\"I talked to Claire, Avery for 40 minutes late in the evening.\"\n19976,2015/12/02,I spent 50 talking to Piper on various topics during lunch hours.,I spent 50 talking to Piper on various topics during lunch hours.\n19977,2015/12/02,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n19978,2015/12/02,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n19979,2015/12/03,\"On 2015/12/03, I took Riley on a date to a boba shop\",\"On 2015/12/03, I took Riley on a date to a boba shop\"\n19980,2015/12/03,I did biking on 2015/12/03.,I did biking on 2015/12/03.\n19981,2015/12/03,\"I had oatmeal for breakfast with Kayden, Andrew, Emily\",\"I had oatmeal for breakfast with Kayden, Andrew, Emily\"\n19982,2015/12/03,I prepare sushi for lunch.,I prepare sushi for lunch.\n19983,2015/12/03,I ate steak for dinner.,I ate steak for dinner.\n19984,2015/12/03,\"I talked to Eva, Avery, Nevaeh, Rylee for 27 minutes in the late afternoon.\",\"I talked to Eva, Avery, Nevaeh, Rylee for 27 minutes in the late afternoon.\"\n19985,2015/12/03,\"I talked to Nora, Olivia for 54 minutes in the early evening.\",\"I talked to Nora, Olivia for 54 minutes in the early evening.\"\n19986,2015/12/03,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n19987,2015/12/03,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n19988,2015/12/04,I did HIIT on 2015/12/04.,I did HIIT on 2015/12/04.\n19989,2015/12/04,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n19990,2015/12/04,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n19991,2015/12/04,I had dinner with Andrew. I ate steak.,I had dinner with Andrew. I ate steak.\n19992,2015/12/04,\"I spent 18 talking to Kinsley, Lydia on various topics during lunch hours.\",\"I spent 18 talking to Kinsley, Lydia on various topics during lunch hours.\"\n19993,2015/12/04,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n19994,2015/12/04,I spent 37 minutes watching a tv series on TV today.,I spent 37 minutes watching a tv series on TV today.\n19995,2015/12/05,\"I went grocery shopping. I bought some bananas, oranges, peaches, blueberries, soda, sports drinks, tea, chocolate milk, and shaving cream, toothpaste\",\"I went grocery shopping. I bought some bananas, oranges, peaches, blueberries, soda, sports drinks, tea, chocolate milk, and shaving cream, toothpaste\"\n19996,2015/12/05,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n19997,2015/12/05,I prepare indian food for lunch.,I prepare indian food for lunch.\n19998,2015/12/05,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n19999,2015/12/05,\"I talked to Kinsley, Lydia, Claire for 48 minutes in the early afternoon.\",\"I talked to Kinsley, Lydia, Claire for 48 minutes in the early afternoon.\"\n20000,2015/12/05,I spent 17 talking to Kinsley on various topics in the early evening.,I spent 17 talking to Kinsley on various topics in the early evening.\n20001,2015/12/05,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n20002,2015/12/05,I watched news for 40 minutes on TV today.,I watched news for 40 minutes on TV today.\n20003,2015/12/06,I did biking on 2015/12/06.,I did biking on 2015/12/06.\n20004,2015/12/06,\"I had toast and cheese for breakfast with Piper, Lydia, Avery, Rylee, Eva, Piper\",\"I had toast and cheese for breakfast with Piper, Lydia, Avery, Rylee, Eva, Piper\"\n20005,2015/12/06,\"I had a burger for lunch with Andrew, Kayden\",\"I had a burger for lunch with Andrew, Kayden\"\n20006,2015/12/06,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n20007,2015/12/06,I talked to Lydia for 11 minutes in the early afternoon.,I talked to Lydia for 11 minutes in the early afternoon.\n20008,2015/12/06,\"I talked to Nora, Piper, Nevaeh for 49 minutes late in the evening.\",\"I talked to Nora, Piper, Nevaeh for 49 minutes late in the evening.\"\n20009,2015/12/06,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n20010,2015/12/06,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n20011,2015/12/07,I did swimming on 2015/12/07.,I did swimming on 2015/12/07.\n20012,2015/12/07,\"I had peanut-butter-jam for breakfast with Kayden, Carter, Andrew\",\"I had peanut-butter-jam for breakfast with Kayden, Carter, Andrew\"\n20013,2015/12/07,I prepare steak for lunch.,I prepare steak for lunch.\n20014,2015/12/07,\"I had chinese food for dinner with Emily, Kayden, Andrew, Carter\",\"I had chinese food for dinner with Emily, Kayden, Andrew, Carter\"\n20015,2015/12/07,\"I spent 19 talking to Piper, Rylee on various topics in the early evening.\",\"I spent 19 talking to Piper, Rylee on various topics in the early evening.\"\n20016,2015/12/07,\"I spent 47 talking to Piper, Hazel, Kinsley, Avery on various topics late in the evening.\",\"I spent 47 talking to Piper, Hazel, Kinsley, Avery on various topics late in the evening.\"\n20017,2015/12/07,I talked to Rylee for 15 minutes in the late afternoon.,I talked to Rylee for 15 minutes in the late afternoon.\n20018,2015/12/07,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n20019,2015/12/07,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n20020,2015/12/08,I did HIIT on 2015/12/08.,I did HIIT on 2015/12/08.\n20021,2015/12/08,\"I had breakfast with Emily, Carter. I ate pancakes.\",\"I had breakfast with Emily, Carter. I ate pancakes.\"\n20022,2015/12/08,\"I had lunch with Emily, Kayden, Andrew, Carter. I ate steak.\",\"I had lunch with Emily, Kayden, Andrew, Carter. I ate steak.\"\n20023,2015/12/08,I had dinner with Kayden. I ate steak.,I had dinner with Kayden. I ate steak.\n20024,2015/12/08,\"I spent 21 talking to Claire, Piper on various topics late in the evening.\",\"I spent 21 talking to Claire, Piper on various topics late in the evening.\"\n20025,2015/12/08,\"I talked to Eva, Kinsley, Claire, Nevaeh for 19 minutes in the late afternoon.\",\"I talked to Eva, Kinsley, Claire, Nevaeh for 19 minutes in the late afternoon.\"\n20026,2015/12/08,\"I talked to Kinsley, Rylee, Claire, Olivia for 37 minutes in the late afternoon.\",\"I talked to Kinsley, Rylee, Claire, Olivia for 37 minutes in the late afternoon.\"\n20027,2015/12/08,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n20028,2015/12/08,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n20029,2015/12/09,\"I went grocery shopping with Kayden, Emily, Andrew. I bought some pears, mandarins, mineral water, and mouthwash, facial wash, body lotion, toothpaste\",\"I went grocery shopping with Kayden, Emily, Andrew. I bought some pears, mandarins, mineral water, and mouthwash, facial wash, body lotion, toothpaste\"\n20030,2015/12/09,I did hiking on 2015/12/09.,I did hiking on 2015/12/09.\n20031,2015/12/09,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n20032,2015/12/09,I ate sandwich for lunch.,I ate sandwich for lunch.\n20033,2015/12/09,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n20034,2015/12/09,\"I talked to Eva, Lydia for 33 minutes late in the evening.\",\"I talked to Eva, Lydia for 33 minutes late in the evening.\"\n20035,2015/12/09,\"I talked to Piper, Piper, Layla for 39 minutes in the morning.\",\"I talked to Piper, Piper, Layla for 39 minutes in the morning.\"\n20036,2015/12/09,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n20037,2015/12/09,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n20038,2015/12/10,I did running on 2015/12/10.,I did running on 2015/12/10.\n20039,2015/12/10,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n20040,2015/12/10,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n20041,2015/12/10,\"I had indian food for dinner with Rylee, Kinsley\",\"I had indian food for dinner with Rylee, Kinsley\"\n20042,2015/12/10,\"I spent 27 talking to Eva, Piper, Hazel on various topics in the early evening.\",\"I spent 27 talking to Eva, Piper, Hazel on various topics in the early evening.\"\n20043,2015/12/10,\"I spent 21 talking to Avery, Olivia, Kinsley on various topics in the late afternoon.\",\"I spent 21 talking to Avery, Olivia, Kinsley on various topics in the late afternoon.\"\n20044,2015/12/10,\"I talked to Avery, Kinsley for 38 minutes in the early afternoon.\",\"I talked to Avery, Kinsley for 38 minutes in the early afternoon.\"\n20045,2015/12/10,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n20046,2015/12/10,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n20047,2015/12/11,I did biking on 2015/12/11.,I did biking on 2015/12/11.\n20048,2015/12/11,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n20049,2015/12/11,\"I had lunch with Lydia, Kinsley, Olivia, Hazel, Nora, Avery, Rylee, Claire, Piper, Layla, Piper, Nevaeh, Eva. I ate tacos.\",\"I had lunch with Lydia, Kinsley, Olivia, Hazel, Nora, Avery, Rylee, Claire, Piper, Layla, Piper, Nevaeh, Eva. I ate tacos.\"\n20050,2015/12/11,\"I had dinner with Andrew, Kayden. I ate sandwich.\",\"I had dinner with Andrew, Kayden. I ate sandwich.\"\n20051,2015/12/11,\"I talked to Layla, Hazel, Olivia, Nora for 41 minutes late in the evening.\",\"I talked to Layla, Hazel, Olivia, Nora for 41 minutes late in the evening.\"\n20052,2015/12/11,I talked to Lydia for 41 minutes in the morning.,I talked to Lydia for 41 minutes in the morning.\n20053,2015/12/11,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n20054,2015/12/11,I watched a documentary for 45 minutes on TV today.,I watched a documentary for 45 minutes on TV today.\n20055,2015/12/12,I really enjoyed meditation on 2015/12/12,I really enjoyed meditation on 2015/12/12\n20056,2015/12/12,\"I went grocery shopping. I bought some clementines, apricots, cherres, pineapple juice, and mouth wash\",\"I went grocery shopping. I bought some clementines, apricots, cherres, pineapple juice, and mouth wash\"\n20057,2015/12/12,I did biking on 2015/12/12.,I did biking on 2015/12/12.\n20058,2015/12/12,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n20059,2015/12/12,I ate tacos for lunch.,I ate tacos for lunch.\n20060,2015/12/12,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n20061,2015/12/12,\"I spent 54 talking to Eva, Piper, Nora on various topics during lunch hours.\",\"I spent 54 talking to Eva, Piper, Nora on various topics during lunch hours.\"\n20062,2015/12/12,\"I talked to Lydia, Eva, Claire, Layla for 23 minutes in the morning.\",\"I talked to Lydia, Eva, Claire, Layla for 23 minutes in the morning.\"\n20063,2015/12/12,\"I spent 10 talking to Hazel, Piper on various topics during lunch hours.\",\"I spent 10 talking to Hazel, Piper on various topics during lunch hours.\"\n20064,2015/12/12,\"I talked to Hazel, Claire, Kinsley, Nevaeh for 38 minutes late in the evening.\",\"I talked to Hazel, Claire, Kinsley, Nevaeh for 38 minutes late in the evening.\"\n20065,2015/12/12,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n20066,2015/12/12,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n20067,2015/12/13,I went on a date with Jaxon on 2015/12/13 at a boba shop,I went on a date with Jaxon on 2015/12/13 at a boba shop\n20068,2015/12/13,I did swimming on 2015/12/13.,I did swimming on 2015/12/13.\n20069,2015/12/13,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n20070,2015/12/13,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n20071,2015/12/13,\"I had indian food for dinner with Jackson, Benjamin\",\"I had indian food for dinner with Jackson, Benjamin\"\n20072,2015/12/13,I talked to Claire for 48 minutes in the late afternoon.,I talked to Claire for 48 minutes in the late afternoon.\n20073,2015/12/13,\"I talked to Piper, Olivia, Nora, Hazel for 43 minutes in the late afternoon.\",\"I talked to Piper, Olivia, Nora, Hazel for 43 minutes in the late afternoon.\"\n20074,2015/12/13,\"I spent 33 talking to Eva, Lydia on various topics in the early afternoon.\",\"I spent 33 talking to Eva, Lydia on various topics in the early afternoon.\"\n20075,2015/12/13,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n20076,2015/12/13,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n20077,2015/12/14,I did hiking on 2015/12/14.,I did hiking on 2015/12/14.\n20078,2015/12/14,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n20079,2015/12/14,\"I had steak for lunch with Willow, Avery, Benjamin, Jackson\",\"I had steak for lunch with Willow, Avery, Benjamin, Jackson\"\n20080,2015/12/14,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n20081,2015/12/14,I talked to Piper for 46 minutes late in the evening.,I talked to Piper for 46 minutes late in the evening.\n20082,2015/12/14,\"I talked to Eva, Layla, Nevaeh for 33 minutes late in the evening.\",\"I talked to Eva, Layla, Nevaeh for 33 minutes late in the evening.\"\n20083,2015/12/14,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n20084,2015/12/14,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n20085,2015/12/15,I spent some time gardening on 2015/12/15.,I spent some time gardening on 2015/12/15.\n20086,2015/12/15,\"I went grocery shopping. I bought some oranges, mangos, raspberries, nectarines, tea, pineapple juice, mineral water, milk, and body lotion, toothpaste, mouth wash, toothbrush\",\"I went grocery shopping. I bought some oranges, mangos, raspberries, nectarines, tea, pineapple juice, mineral water, milk, and body lotion, toothpaste, mouth wash, toothbrush\"\n20087,2015/12/15,I did swimming on 2015/12/15.,I did swimming on 2015/12/15.\n20088,2015/12/15,\"I had cereals for breakfast with Andrew, Emily\",\"I had cereals for breakfast with Andrew, Emily\"\n20089,2015/12/15,I ate chinese food for lunch.,I ate chinese food for lunch.\n20090,2015/12/15,I prepare steak for dinner.,I prepare steak for dinner.\n20091,2015/12/15,\"I spent 42 talking to Layla, Piper, Olivia, Avery on various topics in the early afternoon.\",\"I spent 42 talking to Layla, Piper, Olivia, Avery on various topics in the early afternoon.\"\n20092,2015/12/15,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n20093,2015/12/15,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n20094,2015/12/16,I did running on 2015/12/16.,I did running on 2015/12/16.\n20095,2015/12/16,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n20096,2015/12/16,I had sandwich for lunch with Avery,I had sandwich for lunch with Avery\n20097,2015/12/16,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n20098,2015/12/16,\"I talked to Rylee, Layla, Lydia for 31 minutes in the early afternoon.\",\"I talked to Rylee, Layla, Lydia for 31 minutes in the early afternoon.\"\n20099,2015/12/16,\"I spent 28 talking to Claire, Rylee, Hazel on various topics during lunch hours.\",\"I spent 28 talking to Claire, Rylee, Hazel on various topics during lunch hours.\"\n20100,2015/12/16,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n20101,2015/12/16,I spent 35 minutes watching a movie on TV today.,I spent 35 minutes watching a movie on TV today.\n20102,2015/12/17,I spent some time learning a language on 2015/12/17.,I spent some time learning a language on 2015/12/17.\n20103,2015/12/17,I did weight lifting on 2015/12/17.,I did weight lifting on 2015/12/17.\n20104,2015/12/17,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n20105,2015/12/17,I prepare a burger for lunch.,I prepare a burger for lunch.\n20106,2015/12/17,I prepare indian food for dinner.,I prepare indian food for dinner.\n20107,2015/12/17,\"I spent 45 talking to Kinsley, Hazel, Eva, Layla on various topics late in the evening.\",\"I spent 45 talking to Kinsley, Hazel, Eva, Layla on various topics late in the evening.\"\n20108,2015/12/17,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n20109,2015/12/17,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n20110,2015/12/18,I went on a date with Leonardo on 2015/12/18 at a restaurant,I went on a date with Leonardo on 2015/12/18 at a restaurant\n20111,2015/12/18,\"I went grocery shopping with Kayden, Emily, Carter, Andrew. I bought some peaches, blackberries, oranges, apricots, pineapple juice, tea, and body lotion, conditioner, shampoo\",\"I went grocery shopping with Kayden, Emily, Carter, Andrew. I bought some peaches, blackberries, oranges, apricots, pineapple juice, tea, and body lotion, conditioner, shampoo\"\n20112,2015/12/18,I did swimming on 2015/12/18.,I did swimming on 2015/12/18.\n20113,2015/12/18,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n20114,2015/12/18,I ate indian food for lunch.,I ate indian food for lunch.\n20115,2015/12/18,\"I had indian food for dinner with Andrew, Emily, Kayden, Carter\",\"I had indian food for dinner with Andrew, Emily, Kayden, Carter\"\n20116,2015/12/18,\"I talked to Olivia, Eva, Piper for 27 minutes in the late afternoon.\",\"I talked to Olivia, Eva, Piper for 27 minutes in the late afternoon.\"\n20117,2015/12/18,\"I talked to Claire, Hazel, Kinsley for 10 minutes in the early afternoon.\",\"I talked to Claire, Hazel, Kinsley for 10 minutes in the early afternoon.\"\n20118,2015/12/18,\"I talked to Eva, Piper for 36 minutes in the early evening.\",\"I talked to Eva, Piper for 36 minutes in the early evening.\"\n20119,2015/12/18,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n20120,2015/12/18,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n20121,2015/12/19,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n20122,2015/12/19,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n20123,2015/12/19,I ate indian food for dinner.,I ate indian food for dinner.\n20124,2015/12/19,\"I talked to Lydia, Piper, Piper, Rylee for 32 minutes during lunch hours.\",\"I talked to Lydia, Piper, Piper, Rylee for 32 minutes during lunch hours.\"\n20125,2015/12/19,\"I spent 18 talking to Avery, Rylee on various topics in the early afternoon.\",\"I spent 18 talking to Avery, Rylee on various topics in the early afternoon.\"\n20126,2015/12/19,\"I spent 12 talking to Claire, Kinsley, Hazel, Olivia on various topics in the morning.\",\"I spent 12 talking to Claire, Kinsley, Hazel, Olivia on various topics in the morning.\"\n20127,2015/12/19,I talked to Rylee for 50 minutes in the early evening.,I talked to Rylee for 50 minutes in the early evening.\n20128,2015/12/19,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n20129,2015/12/19,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n20130,2015/12/20,I did weight lifting on 2015/12/20.,I did weight lifting on 2015/12/20.\n20131,2015/12/20,I had pancakes for breakfast with Carter,I had pancakes for breakfast with Carter\n20132,2015/12/20,\"I had lunch with Hazel, Eva, Rylee, Lydia. I ate tacos.\",\"I had lunch with Hazel, Eva, Rylee, Lydia. I ate tacos.\"\n20133,2015/12/20,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n20134,2015/12/20,\"I talked to Layla, Nevaeh, Nora for 16 minutes in the late afternoon.\",\"I talked to Layla, Nevaeh, Nora for 16 minutes in the late afternoon.\"\n20135,2015/12/20,\"I talked to Avery, Nevaeh, Hazel, Nora for 15 minutes in the morning.\",\"I talked to Avery, Nevaeh, Hazel, Nora for 15 minutes in the morning.\"\n20136,2015/12/20,\"I talked to Rylee, Olivia, Lydia for 20 minutes during lunch hours.\",\"I talked to Rylee, Olivia, Lydia for 20 minutes during lunch hours.\"\n20137,2015/12/20,I talked to Nevaeh for 31 minutes in the early afternoon.,I talked to Nevaeh for 31 minutes in the early afternoon.\n20138,2015/12/20,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n20139,2015/12/20,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n20140,2015/12/21,\"I bought some clementines, strawberries, apple juice, pineapple juice, orange juice, guava juice, body lotion, conditioner, facial wash, mouth wash online.\",\"I bought some clementines, strawberries, apple juice, pineapple juice, orange juice, guava juice, body lotion, conditioner, facial wash, mouth wash online.\"\n20141,2015/12/21,I did swimming on 2015/12/21.,I did swimming on 2015/12/21.\n20142,2015/12/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n20143,2015/12/21,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n20144,2015/12/21,I ate steak for dinner.,I ate steak for dinner.\n20145,2015/12/21,I spent 48 talking to Kinsley on various topics late in the evening.,I spent 48 talking to Kinsley on various topics late in the evening.\n20146,2015/12/21,\"I spent 50 talking to Hazel, Claire, Nevaeh on various topics in the early evening.\",\"I spent 50 talking to Hazel, Claire, Nevaeh on various topics in the early evening.\"\n20147,2015/12/21,I spent 21 talking to Nevaeh on various topics in the early evening.,I spent 21 talking to Nevaeh on various topics in the early evening.\n20148,2015/12/21,\"I talked to Rylee, Avery, Claire, Nevaeh for 33 minutes in the early afternoon.\",\"I talked to Rylee, Avery, Claire, Nevaeh for 33 minutes in the early afternoon.\"\n20149,2015/12/21,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n20150,2015/12/21,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n20151,2015/12/22,I did weight lifting on 2015/12/22.,I did weight lifting on 2015/12/22.\n20152,2015/12/22,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n20153,2015/12/22,I had sushi for lunch with Andrew,I had sushi for lunch with Andrew\n20154,2015/12/22,\"I had steak for dinner with Andrew, Emily, Carter\",\"I had steak for dinner with Andrew, Emily, Carter\"\n20155,2015/12/22,\"I spent 38 talking to Nora, Layla on various topics during lunch hours.\",\"I spent 38 talking to Nora, Layla on various topics during lunch hours.\"\n20156,2015/12/22,\"I talked to Piper, Olivia, Piper for 22 minutes in the morning.\",\"I talked to Piper, Olivia, Piper for 22 minutes in the morning.\"\n20157,2015/12/22,I spent 41 talking to Eva on various topics during lunch hours.,I spent 41 talking to Eva on various topics during lunch hours.\n20158,2015/12/22,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n20159,2015/12/22,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n20160,2015/12/23,I did running on 2015/12/23.,I did running on 2015/12/23.\n20161,2015/12/23,\"I had peanut-butter-jam for breakfast with Avery, Benjamin, Jackson, Willow\",\"I had peanut-butter-jam for breakfast with Avery, Benjamin, Jackson, Willow\"\n20162,2015/12/23,\"I had tacos for lunch with Andrew, Emily, Kayden\",\"I had tacos for lunch with Andrew, Emily, Kayden\"\n20163,2015/12/23,I had dinner with Kayden. I ate tacos.,I had dinner with Kayden. I ate tacos.\n20164,2015/12/23,\"I spent 34 talking to Piper, Olivia, Lydia, Claire on various topics during lunch hours.\",\"I spent 34 talking to Piper, Olivia, Lydia, Claire on various topics during lunch hours.\"\n20165,2015/12/23,I spent 39 talking to Avery on various topics in the early afternoon.,I spent 39 talking to Avery on various topics in the early afternoon.\n20166,2015/12/23,\"I talked to Kinsley, Avery for 51 minutes during lunch hours.\",\"I talked to Kinsley, Avery for 51 minutes during lunch hours.\"\n20167,2015/12/23,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n20168,2015/12/23,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n20169,2015/12/24,\"I had breakfast with Olivia, Claire, Lydia, Layla, Rylee, Piper, Piper, Avery, Hazel, Kinsley, Nevaeh. I ate toast and cheese.\",\"I had breakfast with Olivia, Claire, Lydia, Layla, Rylee, Piper, Piper, Avery, Hazel, Kinsley, Nevaeh. I ate toast and cheese.\"\n20170,2015/12/24,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n20171,2015/12/24,I prepare a burger for dinner.,I prepare a burger for dinner.\n20172,2015/12/24,\"I spent 21 talking to Piper, Eva, Layla, Rylee on various topics in the early afternoon.\",\"I spent 21 talking to Piper, Eva, Layla, Rylee on various topics in the early afternoon.\"\n20173,2015/12/24,I talked to Claire for 19 minutes in the early afternoon.,I talked to Claire for 19 minutes in the early afternoon.\n20174,2015/12/24,I talked to Nevaeh for 52 minutes in the morning.,I talked to Nevaeh for 52 minutes in the morning.\n20175,2015/12/24,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n20176,2015/12/24,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n20177,2015/12/25,I did hiking on 2015/12/25.,I did hiking on 2015/12/25.\n20178,2015/12/25,I had breakfast with Nora. I ate toast and cheese.,I had breakfast with Nora. I ate toast and cheese.\n20179,2015/12/25,\"I had lunch with Benjamin, Avery, Jackson, Willow. I ate fish and chips.\",\"I had lunch with Benjamin, Avery, Jackson, Willow. I ate fish and chips.\"\n20180,2015/12/25,I had dinner with Carter. I ate fish and chips.,I had dinner with Carter. I ate fish and chips.\n20181,2015/12/25,\"I spent 13 talking to Kinsley, Piper, Hazel, Olivia on various topics in the early afternoon.\",\"I spent 13 talking to Kinsley, Piper, Hazel, Olivia on various topics in the early afternoon.\"\n20182,2015/12/25,I spent 33 talking to Eva on various topics during lunch hours.,I spent 33 talking to Eva on various topics during lunch hours.\n20183,2015/12/25,\"I spent 8 talking to Hazel, Layla, Piper on various topics in the late afternoon.\",\"I spent 8 talking to Hazel, Layla, Piper on various topics in the late afternoon.\"\n20184,2015/12/25,\"I spent 46 talking to Claire, Piper on various topics late in the evening.\",\"I spent 46 talking to Claire, Piper on various topics late in the evening.\"\n20185,2015/12/25,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n20186,2015/12/25,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n20187,2015/12/26,I did biking on 2015/12/26.,I did biking on 2015/12/26.\n20188,2015/12/26,\"I had pancakes for breakfast with Emily, Andrew, Carter, Kayden\",\"I had pancakes for breakfast with Emily, Andrew, Carter, Kayden\"\n20189,2015/12/26,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n20190,2015/12/26,I had dinner with Piper. I ate sushi.,I had dinner with Piper. I ate sushi.\n20191,2015/12/26,\"I spent 8 talking to Claire, Avery, Lydia, Kinsley on various topics late in the evening.\",\"I spent 8 talking to Claire, Avery, Lydia, Kinsley on various topics late in the evening.\"\n20192,2015/12/26,I spent 44 talking to Piper on various topics in the morning.,I spent 44 talking to Piper on various topics in the morning.\n20193,2015/12/26,\"I spent 10 talking to Lydia, Nora, Kinsley on various topics late in the evening.\",\"I spent 10 talking to Lydia, Nora, Kinsley on various topics late in the evening.\"\n20194,2015/12/26,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n20195,2015/12/26,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n20196,2015/12/27,I did swimming on 2015/12/27.,I did swimming on 2015/12/27.\n20197,2015/12/27,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n20198,2015/12/27,I prepare indian food for lunch.,I prepare indian food for lunch.\n20199,2015/12/27,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n20200,2015/12/27,I talked to Claire for 16 minutes in the early evening.,I talked to Claire for 16 minutes in the early evening.\n20201,2015/12/27,\"I talked to Layla, Avery for 7 minutes in the late afternoon.\",\"I talked to Layla, Avery for 7 minutes in the late afternoon.\"\n20202,2015/12/27,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n20203,2015/12/27,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n20204,2015/12/28,I did biking on 2015/12/28.,I did biking on 2015/12/28.\n20205,2015/12/28,I had breakfast with Piper. I ate oatmeal.,I had breakfast with Piper. I ate oatmeal.\n20206,2015/12/28,\"I had pasta for lunch with Piper, Layla, Hazel\",\"I had pasta for lunch with Piper, Layla, Hazel\"\n20207,2015/12/28,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n20208,2015/12/28,I spent 48 talking to Hazel on various topics in the early afternoon.,I spent 48 talking to Hazel on various topics in the early afternoon.\n20209,2015/12/28,\"I talked to Nevaeh, Hazel, Piper for 52 minutes during lunch hours.\",\"I talked to Nevaeh, Hazel, Piper for 52 minutes during lunch hours.\"\n20210,2015/12/28,I talked to Piper for 29 minutes in the morning.,I talked to Piper for 29 minutes in the morning.\n20211,2015/12/28,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n20212,2015/12/28,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n20213,2015/12/29,\"I went grocery shopping with Nora, Hazel, Olivia, Claire, Nevaeh, Piper, Eva, Kinsley, Rylee, Lydia, Layla. I bought some pears, guava juice, tea, and paper towel, toothbrush\",\"I went grocery shopping with Nora, Hazel, Olivia, Claire, Nevaeh, Piper, Eva, Kinsley, Rylee, Lydia, Layla. I bought some pears, guava juice, tea, and paper towel, toothbrush\"\n20214,2015/12/29,I did biking on 2015/12/29.,I did biking on 2015/12/29.\n20215,2015/12/29,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n20216,2015/12/29,I had lunch with Nevaeh. I ate tacos.,I had lunch with Nevaeh. I ate tacos.\n20217,2015/12/29,\"I had dinner with Kayden, Andrew, Carter. I ate fish and chips.\",\"I had dinner with Kayden, Andrew, Carter. I ate fish and chips.\"\n20218,2015/12/29,I spent 21 talking to Piper on various topics in the morning.,I spent 21 talking to Piper on various topics in the morning.\n20219,2015/12/29,\"I spent 48 talking to Lydia, Piper, Claire on various topics in the late afternoon.\",\"I spent 48 talking to Lydia, Piper, Claire on various topics in the late afternoon.\"\n20220,2015/12/29,\"I talked to Nevaeh, Claire, Eva, Avery for 38 minutes in the late afternoon.\",\"I talked to Nevaeh, Claire, Eva, Avery for 38 minutes in the late afternoon.\"\n20221,2015/12/29,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n20222,2015/12/29,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n20223,2015/12/30,I did HIIT on 2015/12/30.,I did HIIT on 2015/12/30.\n20224,2015/12/30,\"I had pancakes for breakfast with Olivia, Claire\",\"I had pancakes for breakfast with Olivia, Claire\"\n20225,2015/12/30,I ate steak for lunch.,I ate steak for lunch.\n20226,2015/12/30,I had dinner. I ate steak.,I had dinner. I ate steak.\n20227,2015/12/30,I spent 53 talking to Piper on various topics during lunch hours.,I spent 53 talking to Piper on various topics during lunch hours.\n20228,2015/12/30,\"I spent 20 talking to Claire, Piper, Kinsley, Nora on various topics in the early evening.\",\"I spent 20 talking to Claire, Piper, Kinsley, Nora on various topics in the early evening.\"\n20229,2015/12/30,I spent 32 talking to Olivia on various topics in the early afternoon.,I spent 32 talking to Olivia on various topics in the early afternoon.\n20230,2015/12/30,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n20231,2015/12/30,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n20232,2015/12/31,I did hiking on 2015/12/31.,I did hiking on 2015/12/31.\n20233,2015/12/31,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n20234,2015/12/31,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n20235,2015/12/31,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n20236,2015/12/31,\"I talked to Eva, Hazel, Kinsley, Rylee for 28 minutes in the morning.\",\"I talked to Eva, Hazel, Kinsley, Rylee for 28 minutes in the morning.\"\n20237,2015/12/31,\"I spent 32 talking to Nevaeh, Lydia on various topics in the early evening.\",\"I spent 32 talking to Nevaeh, Lydia on various topics in the early evening.\"\n20238,2015/12/31,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n20239,2015/12/31,I watched a tv series for 30 minutes on TV today.,I watched a tv series for 30 minutes on TV today.\n20240,2016/01/01,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n20241,2016/01/01,I really enjoyed learning a language on 2016/01/01,I really enjoyed learning a language on 2016/01/01\n20242,2016/01/01,\"I went grocery shopping with Rylee, Olivia, Claire, Nora, Hazel, Piper, Eva, Nevaeh, Kinsley, Lydia, Layla, Avery, Piper. I bought some nectarines, mangos, clementines, apples, apple juice, coffee, and mouthwash\",\"I went grocery shopping with Rylee, Olivia, Claire, Nora, Hazel, Piper, Eva, Nevaeh, Kinsley, Lydia, Layla, Avery, Piper. I bought some nectarines, mangos, clementines, apples, apple juice, coffee, and mouthwash\"\n20243,2016/01/01,I did HIIT on 2016/01/01.,I did HIIT on 2016/01/01.\n20244,2016/01/01,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n20245,2016/01/01,\"I had steak for lunch with Jackson, Willow, Avery, Benjamin\",\"I had steak for lunch with Jackson, Willow, Avery, Benjamin\"\n20246,2016/01/01,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n20247,2016/01/01,\"I spent 14 talking to Eva, Lydia on various topics in the morning.\",\"I spent 14 talking to Eva, Lydia on various topics in the morning.\"\n20248,2016/01/01,\"I talked to Layla, Avery, Lydia for 38 minutes late in the evening.\",\"I talked to Layla, Avery, Lydia for 38 minutes late in the evening.\"\n20249,2016/01/01,\"I talked to Lydia, Piper, Rylee, Olivia for 9 minutes in the early afternoon.\",\"I talked to Lydia, Piper, Rylee, Olivia for 9 minutes in the early afternoon.\"\n20250,2016/01/01,I talked to Piper for 10 minutes in the early afternoon.,I talked to Piper for 10 minutes in the early afternoon.\n20251,2016/01/01,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n20252,2016/01/01,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n20253,2016/01/02,I took my parents for their for an annual dental cleaning and checkup on 2016/01/02 at the university hospital.,I took my parents for their for an annual dental cleaning and checkup on 2016/01/02 at the university hospital.\n20254,2016/01/02,I did hiking on 2016/01/02.,I did hiking on 2016/01/02.\n20255,2016/01/02,\"I had breakfast with Avery, Piper, Eva, Olivia, Claire. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Piper, Eva, Olivia, Claire. I ate eggs, sausages, and bread.\"\n20256,2016/01/02,\"I had pasta for lunch with Kayden, Carter, Andrew\",\"I had pasta for lunch with Kayden, Carter, Andrew\"\n20257,2016/01/02,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n20258,2016/01/02,\"I spent 42 talking to Olivia, Claire, Eva, Kinsley on various topics in the late afternoon.\",\"I spent 42 talking to Olivia, Claire, Eva, Kinsley on various topics in the late afternoon.\"\n20259,2016/01/02,\"I spent 19 talking to Avery, Olivia, Lydia on various topics late in the evening.\",\"I spent 19 talking to Avery, Olivia, Lydia on various topics late in the evening.\"\n20260,2016/01/02,I spent 13 talking to Nevaeh on various topics in the morning.,I spent 13 talking to Nevaeh on various topics in the morning.\n20261,2016/01/02,\"I spent 33 talking to Lydia, Kinsley, Layla, Rylee on various topics late in the evening.\",\"I spent 33 talking to Lydia, Kinsley, Layla, Rylee on various topics late in the evening.\"\n20262,2016/01/02,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n20263,2016/01/02,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n20264,2016/01/03,I did HIIT on 2016/01/03.,I did HIIT on 2016/01/03.\n20265,2016/01/03,\"I had breakfast with Emily, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Kayden. I ate peanut-butter-jam.\"\n20266,2016/01/03,I had a burger for lunch with Emily,I had a burger for lunch with Emily\n20267,2016/01/03,I had a burger for dinner with Benjamin,I had a burger for dinner with Benjamin\n20268,2016/01/03,\"I spent 52 talking to Piper, Nevaeh, Olivia, Hazel on various topics during lunch hours.\",\"I spent 52 talking to Piper, Nevaeh, Olivia, Hazel on various topics during lunch hours.\"\n20269,2016/01/03,I spent 47 talking to Piper on various topics in the early afternoon.,I spent 47 talking to Piper on various topics in the early afternoon.\n20270,2016/01/03,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n20271,2016/01/03,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n20272,2016/01/04,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n20273,2016/01/04,\"I had sandwich for lunch with Claire, Nevaeh, Lydia, Piper, Hazel, Nora, Rylee, Layla, Olivia, Kinsley, Avery\",\"I had sandwich for lunch with Claire, Nevaeh, Lydia, Piper, Hazel, Nora, Rylee, Layla, Olivia, Kinsley, Avery\"\n20274,2016/01/04,\"I had dinner with Andrew, Kayden, Emily. I ate fish and chips.\",\"I had dinner with Andrew, Kayden, Emily. I ate fish and chips.\"\n20275,2016/01/04,\"I talked to Olivia, Layla, Lydia for 32 minutes in the late afternoon.\",\"I talked to Olivia, Layla, Lydia for 32 minutes in the late afternoon.\"\n20276,2016/01/04,\"I spent 39 talking to Piper, Hazel, Claire, Olivia on various topics in the early evening.\",\"I spent 39 talking to Piper, Hazel, Claire, Olivia on various topics in the early evening.\"\n20277,2016/01/04,\"I talked to Lydia, Piper, Claire for 13 minutes late in the evening.\",\"I talked to Lydia, Piper, Claire for 13 minutes late in the evening.\"\n20278,2016/01/04,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n20279,2016/01/04,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n20280,2016/01/05,I went on a date with Elias on 2016/01/05 at a coffee Shop,I went on a date with Elias on 2016/01/05 at a coffee Shop\n20281,2016/01/05,I did HIIT on 2016/01/05.,I did HIIT on 2016/01/05.\n20282,2016/01/05,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n20283,2016/01/05,\"I had lunch with Layla, Eva, Piper, Piper, Avery, Rylee, Nevaeh. I ate a burger.\",\"I had lunch with Layla, Eva, Piper, Piper, Avery, Rylee, Nevaeh. I ate a burger.\"\n20284,2016/01/05,\"I had steak for dinner with Carter, Emily, Andrew, Kayden\",\"I had steak for dinner with Carter, Emily, Andrew, Kayden\"\n20285,2016/01/05,I spent 6 talking to Piper on various topics in the morning.,I spent 6 talking to Piper on various topics in the morning.\n20286,2016/01/05,I spent 6 talking to Rylee on various topics late in the evening.,I spent 6 talking to Rylee on various topics late in the evening.\n20287,2016/01/05,\"I talked to Piper, Nevaeh for 12 minutes in the early evening.\",\"I talked to Piper, Nevaeh for 12 minutes in the early evening.\"\n20288,2016/01/05,\"I spent 53 talking to Layla, Eva, Avery on various topics in the early afternoon.\",\"I spent 53 talking to Layla, Eva, Avery on various topics in the early afternoon.\"\n20289,2016/01/05,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n20290,2016/01/05,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n20291,2016/01/06,I did hiking on 2016/01/06.,I did hiking on 2016/01/06.\n20292,2016/01/06,I ate cereals for breakfast.,I ate cereals for breakfast.\n20293,2016/01/06,\"I had tacos for lunch with Nevaeh, Olivia, Eva, Rylee, Piper, Nora, Lydia\",\"I had tacos for lunch with Nevaeh, Olivia, Eva, Rylee, Piper, Nora, Lydia\"\n20294,2016/01/06,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n20295,2016/01/06,\"I talked to Lydia, Eva for 41 minutes in the early evening.\",\"I talked to Lydia, Eva for 41 minutes in the early evening.\"\n20296,2016/01/06,\"I talked to Olivia, Piper, Avery, Eva for 53 minutes during lunch hours.\",\"I talked to Olivia, Piper, Avery, Eva for 53 minutes during lunch hours.\"\n20297,2016/01/06,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n20298,2016/01/06,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n20299,2016/01/07,\"I bought some raspberries, apple juice, mango juice, chocolate milk, mineral water, mouth wash, body lotion, toothbrush online.\",\"I bought some raspberries, apple juice, mango juice, chocolate milk, mineral water, mouth wash, body lotion, toothbrush online.\"\n20300,2016/01/07,I did running on 2016/01/07.,I did running on 2016/01/07.\n20301,2016/01/07,\"I had breakfast with Emily, Kayden. I ate pancakes.\",\"I had breakfast with Emily, Kayden. I ate pancakes.\"\n20302,2016/01/07,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n20303,2016/01/07,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n20304,2016/01/07,\"I talked to Olivia, Hazel, Layla for 22 minutes in the late afternoon.\",\"I talked to Olivia, Hazel, Layla for 22 minutes in the late afternoon.\"\n20305,2016/01/07,\"I spent 8 talking to Piper, Kinsley, Nora on various topics late in the evening.\",\"I spent 8 talking to Piper, Kinsley, Nora on various topics late in the evening.\"\n20306,2016/01/07,\"I spent 8 talking to Lydia, Olivia, Piper, Rylee on various topics in the early afternoon.\",\"I spent 8 talking to Lydia, Olivia, Piper, Rylee on various topics in the early afternoon.\"\n20307,2016/01/07,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n20308,2016/01/07,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n20309,2016/01/08,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n20310,2016/01/08,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n20311,2016/01/08,I prepare sushi for dinner.,I prepare sushi for dinner.\n20312,2016/01/08,\"I talked to Hazel, Olivia, Kinsley for 45 minutes during lunch hours.\",\"I talked to Hazel, Olivia, Kinsley for 45 minutes during lunch hours.\"\n20313,2016/01/08,I talked to Layla for 12 minutes during lunch hours.,I talked to Layla for 12 minutes during lunch hours.\n20314,2016/01/08,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n20315,2016/01/08,I spent 46 minutes watching a movie on TV today.,I spent 46 minutes watching a movie on TV today.\n20316,2016/01/09,I did HIIT on 2016/01/09.,I did HIIT on 2016/01/09.\n20317,2016/01/09,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n20318,2016/01/09,\"I had sandwich for lunch with Piper, Hazel, Rylee, Nora, Eva, Avery\",\"I had sandwich for lunch with Piper, Hazel, Rylee, Nora, Eva, Avery\"\n20319,2016/01/09,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n20320,2016/01/09,I spent 14 talking to Claire on various topics during lunch hours.,I spent 14 talking to Claire on various topics during lunch hours.\n20321,2016/01/09,\"I talked to Olivia, Layla, Hazel, Nevaeh for 6 minutes during lunch hours.\",\"I talked to Olivia, Layla, Hazel, Nevaeh for 6 minutes during lunch hours.\"\n20322,2016/01/09,\"I spent 14 talking to Layla, Avery, Olivia on various topics late in the evening.\",\"I spent 14 talking to Layla, Avery, Olivia on various topics late in the evening.\"\n20323,2016/01/09,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n20324,2016/01/09,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n20325,2016/01/10,I did running on 2016/01/10.,I did running on 2016/01/10.\n20326,2016/01/10,\"I had breakfast with Benjamin. I ate eggs, sausages, and bread.\",\"I had breakfast with Benjamin. I ate eggs, sausages, and bread.\"\n20327,2016/01/10,I had lunch. I ate steak.,I had lunch. I ate steak.\n20328,2016/01/10,\"I had tacos for dinner with Lydia, Avery, Olivia, Piper, Layla, Piper, Nora\",\"I had tacos for dinner with Lydia, Avery, Olivia, Piper, Layla, Piper, Nora\"\n20329,2016/01/10,\"I talked to Piper, Rylee for 17 minutes late in the evening.\",\"I talked to Piper, Rylee for 17 minutes late in the evening.\"\n20330,2016/01/10,I spent 54 talking to Lydia on various topics in the morning.,I spent 54 talking to Lydia on various topics in the morning.\n20331,2016/01/10,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n20332,2016/01/10,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n20333,2016/01/11,I spent time yoga on 2016/01/11 with Andrew.,I spent time yoga on 2016/01/11 with Andrew.\n20334,2016/01/11,I did weight lifting on 2016/01/11.,I did weight lifting on 2016/01/11.\n20335,2016/01/11,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n20336,2016/01/11,I prepare indian food for lunch.,I prepare indian food for lunch.\n20337,2016/01/11,I prepare indian food for dinner.,I prepare indian food for dinner.\n20338,2016/01/11,\"I spent 32 talking to Layla, Kinsley, Piper, Nora on various topics in the early afternoon.\",\"I spent 32 talking to Layla, Kinsley, Piper, Nora on various topics in the early afternoon.\"\n20339,2016/01/11,\"I spent 48 talking to Piper, Eva, Nevaeh, Kinsley on various topics in the early evening.\",\"I spent 48 talking to Piper, Eva, Nevaeh, Kinsley on various topics in the early evening.\"\n20340,2016/01/11,\"I talked to Nevaeh, Piper for 7 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper for 7 minutes in the early afternoon.\"\n20341,2016/01/11,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n20342,2016/01/11,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n20343,2016/01/12,I took my parents for their for an annual physical checkup on 2016/01/12 at the university hospital.,I took my parents for their for an annual physical checkup on 2016/01/12 at the university hospital.\n20344,2016/01/12,I did weight lifting on 2016/01/12.,I did weight lifting on 2016/01/12.\n20345,2016/01/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n20346,2016/01/12,\"I had lunch with Piper, Avery, Layla, Kinsley, Piper, Nevaeh, Olivia, Nora, Lydia, Rylee, Claire, Eva, Hazel. I ate sandwich.\",\"I had lunch with Piper, Avery, Layla, Kinsley, Piper, Nevaeh, Olivia, Nora, Lydia, Rylee, Claire, Eva, Hazel. I ate sandwich.\"\n20347,2016/01/12,I ate indian food for dinner.,I ate indian food for dinner.\n20348,2016/01/12,\"I talked to Rylee, Avery, Kinsley, Hazel for 47 minutes in the late afternoon.\",\"I talked to Rylee, Avery, Kinsley, Hazel for 47 minutes in the late afternoon.\"\n20349,2016/01/12,I talked to Kinsley for 47 minutes in the late afternoon.,I talked to Kinsley for 47 minutes in the late afternoon.\n20350,2016/01/12,I spent 50 talking to Kinsley on various topics late in the evening.,I spent 50 talking to Kinsley on various topics late in the evening.\n20351,2016/01/12,\"I spent 55 talking to Nevaeh, Kinsley, Claire, Rylee on various topics late in the evening.\",\"I spent 55 talking to Nevaeh, Kinsley, Claire, Rylee on various topics late in the evening.\"\n20352,2016/01/12,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n20353,2016/01/12,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n20354,2016/01/13,\"I went grocery shopping. I bought some mandarins, watermelons, soda, mango juice, and conditioner\",\"I went grocery shopping. I bought some mandarins, watermelons, soda, mango juice, and conditioner\"\n20355,2016/01/13,I did running on 2016/01/13.,I did running on 2016/01/13.\n20356,2016/01/13,I had breakfast with Andrew. I ate peanut-butter-jam.,I had breakfast with Andrew. I ate peanut-butter-jam.\n20357,2016/01/13,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n20358,2016/01/13,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n20359,2016/01/13,\"I talked to Olivia, Avery, Layla for 34 minutes in the early afternoon.\",\"I talked to Olivia, Avery, Layla for 34 minutes in the early afternoon.\"\n20360,2016/01/13,\"I talked to Claire, Nevaeh, Piper, Kinsley for 23 minutes in the early afternoon.\",\"I talked to Claire, Nevaeh, Piper, Kinsley for 23 minutes in the early afternoon.\"\n20361,2016/01/13,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n20362,2016/01/13,I watched news for 40 minutes on TV today.,I watched news for 40 minutes on TV today.\n20363,2016/01/14,\"I had cereals for breakfast with Willow, Avery, Benjamin, Jackson\",\"I had cereals for breakfast with Willow, Avery, Benjamin, Jackson\"\n20364,2016/01/14,\"I had chinese food for lunch with Emily, Kayden, Carter\",\"I had chinese food for lunch with Emily, Kayden, Carter\"\n20365,2016/01/14,I prepare pasta for dinner.,I prepare pasta for dinner.\n20366,2016/01/14,\"I talked to Eva, Piper, Avery, Olivia for 37 minutes in the early evening.\",\"I talked to Eva, Piper, Avery, Olivia for 37 minutes in the early evening.\"\n20367,2016/01/14,\"I spent 10 talking to Olivia, Eva, Lydia on various topics in the late afternoon.\",\"I spent 10 talking to Olivia, Eva, Lydia on various topics in the late afternoon.\"\n20368,2016/01/14,\"I spent 14 talking to Rylee, Avery, Hazel on various topics in the late afternoon.\",\"I spent 14 talking to Rylee, Avery, Hazel on various topics in the late afternoon.\"\n20369,2016/01/14,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n20370,2016/01/14,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n20371,2016/01/15,I spent some time gardening on 2016/01/15.,I spent some time gardening on 2016/01/15.\n20372,2016/01/15,I did swimming on 2016/01/15.,I did swimming on 2016/01/15.\n20373,2016/01/15,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n20374,2016/01/15,I prepare a burger for lunch.,I prepare a burger for lunch.\n20375,2016/01/15,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n20376,2016/01/15,I spent 14 talking to Piper on various topics during lunch hours.,I spent 14 talking to Piper on various topics during lunch hours.\n20377,2016/01/15,\"I talked to Eva, Lydia, Claire for 26 minutes during lunch hours.\",\"I talked to Eva, Lydia, Claire for 26 minutes during lunch hours.\"\n20378,2016/01/15,\"I talked to Claire, Rylee, Piper, Kinsley for 22 minutes in the early afternoon.\",\"I talked to Claire, Rylee, Piper, Kinsley for 22 minutes in the early afternoon.\"\n20379,2016/01/15,I talked to Hazel for 23 minutes in the late afternoon.,I talked to Hazel for 23 minutes in the late afternoon.\n20380,2016/01/15,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n20381,2016/01/15,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n20382,2016/01/16,I did hiking on 2016/01/16.,I did hiking on 2016/01/16.\n20383,2016/01/16,I had oatmeal for breakfast with Nora,I had oatmeal for breakfast with Nora\n20384,2016/01/16,I prepare indian food for lunch.,I prepare indian food for lunch.\n20385,2016/01/16,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n20386,2016/01/16,\"I spent 24 talking to Claire, Avery on various topics during lunch hours.\",\"I spent 24 talking to Claire, Avery on various topics during lunch hours.\"\n20387,2016/01/16,\"I spent 6 talking to Kinsley, Rylee on various topics in the late afternoon.\",\"I spent 6 talking to Kinsley, Rylee on various topics in the late afternoon.\"\n20388,2016/01/16,I spent 24 talking to Nevaeh on various topics late in the evening.,I spent 24 talking to Nevaeh on various topics late in the evening.\n20389,2016/01/16,I spent 32 talking to Nevaeh on various topics in the early afternoon.,I spent 32 talking to Nevaeh on various topics in the early afternoon.\n20390,2016/01/16,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n20391,2016/01/16,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n20392,2016/01/17,I did hiking on 2016/01/17.,I did hiking on 2016/01/17.\n20393,2016/01/17,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n20394,2016/01/17,\"I had chinese food for lunch with Willow, Avery\",\"I had chinese food for lunch with Willow, Avery\"\n20395,2016/01/17,I ate a burger for dinner.,I ate a burger for dinner.\n20396,2016/01/17,I talked to Olivia for 50 minutes in the early afternoon.,I talked to Olivia for 50 minutes in the early afternoon.\n20397,2016/01/17,\"I spent 44 talking to Eva, Kinsley, Nevaeh, Olivia on various topics in the late afternoon.\",\"I spent 44 talking to Eva, Kinsley, Nevaeh, Olivia on various topics in the late afternoon.\"\n20398,2016/01/17,I spent 23 talking to Hazel on various topics in the late afternoon.,I spent 23 talking to Hazel on various topics in the late afternoon.\n20399,2016/01/17,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n20400,2016/01/17,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n20401,2016/01/18,I did HIIT on 2016/01/18.,I did HIIT on 2016/01/18.\n20402,2016/01/18,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n20403,2016/01/18,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n20404,2016/01/18,\"I had sandwich for dinner with Rylee, Hazel, Piper\",\"I had sandwich for dinner with Rylee, Hazel, Piper\"\n20405,2016/01/18,\"I spent 14 talking to Avery, Nora on various topics during lunch hours.\",\"I spent 14 talking to Avery, Nora on various topics during lunch hours.\"\n20406,2016/01/18,\"I spent 24 talking to Nora, Olivia on various topics in the early afternoon.\",\"I spent 24 talking to Nora, Olivia on various topics in the early afternoon.\"\n20407,2016/01/18,\"I talked to Hazel, Nora for 33 minutes in the late afternoon.\",\"I talked to Hazel, Nora for 33 minutes in the late afternoon.\"\n20408,2016/01/18,\"I spent 25 talking to Lydia, Eva, Avery on various topics late in the evening.\",\"I spent 25 talking to Lydia, Eva, Avery on various topics late in the evening.\"\n20409,2016/01/18,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n20410,2016/01/18,I spent 37 minutes watching a tv series on TV today.,I spent 37 minutes watching a tv series on TV today.\n20411,2016/01/19,I did hiking on 2016/01/19.,I did hiking on 2016/01/19.\n20412,2016/01/19,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n20413,2016/01/19,\"I had lunch with Carter, Kayden, Andrew. I ate a burger.\",\"I had lunch with Carter, Kayden, Andrew. I ate a burger.\"\n20414,2016/01/19,I ate sandwich for dinner.,I ate sandwich for dinner.\n20415,2016/01/19,\"I spent 41 talking to Nora, Piper on various topics in the morning.\",\"I spent 41 talking to Nora, Piper on various topics in the morning.\"\n20416,2016/01/19,I talked to Rylee for 47 minutes late in the evening.,I talked to Rylee for 47 minutes late in the evening.\n20417,2016/01/19,\"I spent 6 talking to Hazel, Kinsley, Nevaeh on various topics in the late afternoon.\",\"I spent 6 talking to Hazel, Kinsley, Nevaeh on various topics in the late afternoon.\"\n20418,2016/01/19,I spent 30 talking to Avery on various topics in the late afternoon.,I spent 30 talking to Avery on various topics in the late afternoon.\n20419,2016/01/19,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n20420,2016/01/19,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n20421,2016/01/20,\"I went grocery shopping. I bought some guava, mangos, nectarines, guava juice, chocolate milk, and paper towel, facial wash, toothbrush\",\"I went grocery shopping. I bought some guava, mangos, nectarines, guava juice, chocolate milk, and paper towel, facial wash, toothbrush\"\n20422,2016/01/20,I did biking on 2016/01/20.,I did biking on 2016/01/20.\n20423,2016/01/20,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n20424,2016/01/20,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n20425,2016/01/20,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n20426,2016/01/20,\"I talked to Kinsley, Layla for 29 minutes late in the evening.\",\"I talked to Kinsley, Layla for 29 minutes late in the evening.\"\n20427,2016/01/20,I talked to Piper for 13 minutes in the morning.,I talked to Piper for 13 minutes in the morning.\n20428,2016/01/20,I talked to Kinsley for 16 minutes late in the evening.,I talked to Kinsley for 16 minutes late in the evening.\n20429,2016/01/20,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n20430,2016/01/20,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n20431,2016/01/21,\"On 2016/01/21, I took Stella on a date to a park\",\"On 2016/01/21, I took Stella on a date to a park\"\n20432,2016/01/21,I did HIIT on 2016/01/21.,I did HIIT on 2016/01/21.\n20433,2016/01/21,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n20434,2016/01/21,I had tacos for lunch with Jackson,I had tacos for lunch with Jackson\n20435,2016/01/21,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n20436,2016/01/21,I spent 10 talking to Avery on various topics in the early evening.,I spent 10 talking to Avery on various topics in the early evening.\n20437,2016/01/21,\"I spent 17 talking to Lydia, Olivia, Nora on various topics during lunch hours.\",\"I spent 17 talking to Lydia, Olivia, Nora on various topics during lunch hours.\"\n20438,2016/01/21,\"I spent 25 talking to Rylee, Kinsley on various topics in the late afternoon.\",\"I spent 25 talking to Rylee, Kinsley on various topics in the late afternoon.\"\n20439,2016/01/21,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n20440,2016/01/21,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n20441,2016/01/22,I did running on 2016/01/22.,I did running on 2016/01/22.\n20442,2016/01/22,I had breakfast with Kayden. I ate toast and cheese.,I had breakfast with Kayden. I ate toast and cheese.\n20443,2016/01/22,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n20444,2016/01/22,\"I had fish and chips for dinner with Emily, Carter, Andrew\",\"I had fish and chips for dinner with Emily, Carter, Andrew\"\n20445,2016/01/22,\"I spent 13 talking to Hazel, Avery, Nevaeh, Lydia on various topics in the morning.\",\"I spent 13 talking to Hazel, Avery, Nevaeh, Lydia on various topics in the morning.\"\n20446,2016/01/22,\"I spent 42 talking to Kinsley, Eva on various topics in the early evening.\",\"I spent 42 talking to Kinsley, Eva on various topics in the early evening.\"\n20447,2016/01/22,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n20448,2016/01/22,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n20449,2016/01/23,I went on a date with Wesley on 2016/01/23 at a coffee Shop,I went on a date with Wesley on 2016/01/23 at a coffee Shop\n20450,2016/01/23,\"I went grocery shopping. I bought some pears, oranges, guava, blueberries, apple juice, and mouth wash, body lotion\",\"I went grocery shopping. I bought some pears, oranges, guava, blueberries, apple juice, and mouth wash, body lotion\"\n20451,2016/01/23,I did weight lifting on 2016/01/23.,I did weight lifting on 2016/01/23.\n20452,2016/01/23,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n20453,2016/01/23,I had lunch with Emily. I ate a burger.,I had lunch with Emily. I ate a burger.\n20454,2016/01/23,I ate sushi for dinner.,I ate sushi for dinner.\n20455,2016/01/23,I talked to Rylee for 40 minutes in the early evening.,I talked to Rylee for 40 minutes in the early evening.\n20456,2016/01/23,\"I spent 26 talking to Piper, Hazel, Rylee on various topics in the morning.\",\"I spent 26 talking to Piper, Hazel, Rylee on various topics in the morning.\"\n20457,2016/01/23,\"I spent 51 talking to Rylee, Nevaeh on various topics in the morning.\",\"I spent 51 talking to Rylee, Nevaeh on various topics in the morning.\"\n20458,2016/01/23,\"I spent 35 talking to Piper, Kinsley, Hazel, Piper on various topics late in the evening.\",\"I spent 35 talking to Piper, Kinsley, Hazel, Piper on various topics late in the evening.\"\n20459,2016/01/23,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n20460,2016/01/23,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n20461,2016/01/24,I did hiking on 2016/01/24.,I did hiking on 2016/01/24.\n20462,2016/01/24,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n20463,2016/01/24,I prepare pasta for lunch.,I prepare pasta for lunch.\n20464,2016/01/24,\"I had dinner with Andrew, Emily. I ate steak.\",\"I had dinner with Andrew, Emily. I ate steak.\"\n20465,2016/01/24,I spent 36 talking to Piper on various topics in the early evening.,I spent 36 talking to Piper on various topics in the early evening.\n20466,2016/01/24,I talked to Layla for 36 minutes in the late afternoon.,I talked to Layla for 36 minutes in the late afternoon.\n20467,2016/01/24,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n20468,2016/01/24,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n20469,2016/01/25,\"I spent time gardening on 2016/01/25 with Nora, Avery, Olivia.\",\"I spent time gardening on 2016/01/25 with Nora, Avery, Olivia.\"\n20470,2016/01/25,I did HIIT on 2016/01/25.,I did HIIT on 2016/01/25.\n20471,2016/01/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n20472,2016/01/25,\"I had lunch with Kinsley, Nora, Layla, Lydia, Hazel, Piper, Avery, Claire, Olivia, Piper, Eva. I ate fish and chips.\",\"I had lunch with Kinsley, Nora, Layla, Lydia, Hazel, Piper, Avery, Claire, Olivia, Piper, Eva. I ate fish and chips.\"\n20473,2016/01/25,\"I had chinese food for dinner with Andrew, Emily, Carter\",\"I had chinese food for dinner with Andrew, Emily, Carter\"\n20474,2016/01/25,\"I talked to Kinsley, Claire, Layla, Nevaeh for 43 minutes late in the evening.\",\"I talked to Kinsley, Claire, Layla, Nevaeh for 43 minutes late in the evening.\"\n20475,2016/01/25,I spent 29 talking to Kinsley on various topics in the early evening.,I spent 29 talking to Kinsley on various topics in the early evening.\n20476,2016/01/25,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n20477,2016/01/25,I watched a documentary for 35 minutes on TV today.,I watched a documentary for 35 minutes on TV today.\n20478,2016/01/26,I did running on 2016/01/26.,I did running on 2016/01/26.\n20479,2016/01/26,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n20480,2016/01/26,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n20481,2016/01/26,\"I had dinner with Carter, Andrew. I ate tacos.\",\"I had dinner with Carter, Andrew. I ate tacos.\"\n20482,2016/01/26,\"I spent 30 talking to Nevaeh, Kinsley, Rylee, Olivia on various topics in the late afternoon.\",\"I spent 30 talking to Nevaeh, Kinsley, Rylee, Olivia on various topics in the late afternoon.\"\n20483,2016/01/26,\"I talked to Lydia, Piper, Avery for 15 minutes late in the evening.\",\"I talked to Lydia, Piper, Avery for 15 minutes late in the evening.\"\n20484,2016/01/26,\"I talked to Nevaeh, Hazel for 10 minutes in the early afternoon.\",\"I talked to Nevaeh, Hazel for 10 minutes in the early afternoon.\"\n20485,2016/01/26,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n20486,2016/01/26,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n20487,2016/01/27,I did running on 2016/01/27.,I did running on 2016/01/27.\n20488,2016/01/27,\"I had breakfast with Nora, Layla, Lydia, Claire, Piper, Piper, Nevaeh, Kinsley, Avery, Olivia, Eva, Hazel, Rylee. I ate cereals.\",\"I had breakfast with Nora, Layla, Lydia, Claire, Piper, Piper, Nevaeh, Kinsley, Avery, Olivia, Eva, Hazel, Rylee. I ate cereals.\"\n20489,2016/01/27,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n20490,2016/01/27,\"I had dinner with Andrew, Emily. I ate fish and chips.\",\"I had dinner with Andrew, Emily. I ate fish and chips.\"\n20491,2016/01/27,\"I spent 51 talking to Layla, Hazel, Piper on various topics in the late afternoon.\",\"I spent 51 talking to Layla, Hazel, Piper on various topics in the late afternoon.\"\n20492,2016/01/27,\"I spent 17 talking to Piper, Rylee on various topics late in the evening.\",\"I spent 17 talking to Piper, Rylee on various topics late in the evening.\"\n20493,2016/01/27,\"I talked to Layla, Avery, Nora for 55 minutes during lunch hours.\",\"I talked to Layla, Avery, Nora for 55 minutes during lunch hours.\"\n20494,2016/01/27,\"I talked to Layla, Hazel, Nora, Nevaeh for 35 minutes during lunch hours.\",\"I talked to Layla, Hazel, Nora, Nevaeh for 35 minutes during lunch hours.\"\n20495,2016/01/27,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n20496,2016/01/27,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n20497,2016/01/28,\"I bought some clementines, guava juice, tea, coffee, conditioner, mouth wash, mouthwash online.\",\"I bought some clementines, guava juice, tea, coffee, conditioner, mouth wash, mouthwash online.\"\n20498,2016/01/28,I did swimming on 2016/01/28.,I did swimming on 2016/01/28.\n20499,2016/01/28,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n20500,2016/01/28,I prepare tacos for lunch.,I prepare tacos for lunch.\n20501,2016/01/28,I prepare pasta for dinner.,I prepare pasta for dinner.\n20502,2016/01/28,\"I spent 54 talking to Layla, Kinsley on various topics in the morning.\",\"I spent 54 talking to Layla, Kinsley on various topics in the morning.\"\n20503,2016/01/28,I spent 53 talking to Avery on various topics during lunch hours.,I spent 53 talking to Avery on various topics during lunch hours.\n20504,2016/01/28,I spent 20 talking to Nora on various topics in the late afternoon.,I spent 20 talking to Nora on various topics in the late afternoon.\n20505,2016/01/28,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n20506,2016/01/28,I watched a tv series for 49 minutes on TV today.,I watched a tv series for 49 minutes on TV today.\n20507,2016/01/29,I did running on 2016/01/29.,I did running on 2016/01/29.\n20508,2016/01/29,\"I had cereals for breakfast with Benjamin, Avery\",\"I had cereals for breakfast with Benjamin, Avery\"\n20509,2016/01/29,\"I had steak for lunch with Jackson, Willow\",\"I had steak for lunch with Jackson, Willow\"\n20510,2016/01/29,\"I had chinese food for dinner with Avery, Kinsley, Olivia, Nevaeh, Hazel, Lydia, Piper, Claire, Eva, Nora\",\"I had chinese food for dinner with Avery, Kinsley, Olivia, Nevaeh, Hazel, Lydia, Piper, Claire, Eva, Nora\"\n20511,2016/01/29,\"I talked to Lydia, Nora for 12 minutes in the early afternoon.\",\"I talked to Lydia, Nora for 12 minutes in the early afternoon.\"\n20512,2016/01/29,I talked to Hazel for 40 minutes in the morning.,I talked to Hazel for 40 minutes in the morning.\n20513,2016/01/29,\"I spent 51 talking to Layla, Hazel, Claire, Kinsley on various topics in the morning.\",\"I spent 51 talking to Layla, Hazel, Claire, Kinsley on various topics in the morning.\"\n20514,2016/01/29,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n20515,2016/01/29,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n20516,2016/01/30,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n20517,2016/01/30,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n20518,2016/01/30,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n20519,2016/01/30,\"I spent 33 talking to Kinsley, Eva, Piper on various topics during lunch hours.\",\"I spent 33 talking to Kinsley, Eva, Piper on various topics during lunch hours.\"\n20520,2016/01/30,\"I talked to Nora, Layla, Olivia for 20 minutes in the early evening.\",\"I talked to Nora, Layla, Olivia for 20 minutes in the early evening.\"\n20521,2016/01/30,\"I spent 20 talking to Nora, Layla, Nevaeh, Olivia on various topics in the early evening.\",\"I spent 20 talking to Nora, Layla, Nevaeh, Olivia on various topics in the early evening.\"\n20522,2016/01/30,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n20523,2016/01/30,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n20524,2016/01/31,I did hiking on 2016/01/31.,I did hiking on 2016/01/31.\n20525,2016/01/31,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n20526,2016/01/31,I had lunch with Andrew. I ate chinese food.,I had lunch with Andrew. I ate chinese food.\n20527,2016/01/31,\"I had dinner with Andrew, Carter. I ate fish and chips.\",\"I had dinner with Andrew, Carter. I ate fish and chips.\"\n20528,2016/01/31,I spent 34 talking to Nora on various topics in the morning.,I spent 34 talking to Nora on various topics in the morning.\n20529,2016/01/31,\"I spent 15 talking to Layla, Lydia on various topics late in the evening.\",\"I spent 15 talking to Layla, Lydia on various topics late in the evening.\"\n20530,2016/01/31,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n20531,2016/01/31,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n20532,2016/02/01,I did weight lifting on 2016/02/01.,I did weight lifting on 2016/02/01.\n20533,2016/02/01,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n20534,2016/02/01,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n20535,2016/02/01,\"I had tacos for dinner with Benjamin, Willow, Avery, Jackson\",\"I had tacos for dinner with Benjamin, Willow, Avery, Jackson\"\n20536,2016/02/01,\"I spent 16 talking to Nevaeh, Piper on various topics in the late afternoon.\",\"I spent 16 talking to Nevaeh, Piper on various topics in the late afternoon.\"\n20537,2016/02/01,I talked to Hazel for 23 minutes in the late afternoon.,I talked to Hazel for 23 minutes in the late afternoon.\n20538,2016/02/01,\"I spent 50 talking to Kinsley, Piper, Lydia on various topics in the morning.\",\"I spent 50 talking to Kinsley, Piper, Lydia on various topics in the morning.\"\n20539,2016/02/01,\"I spent 34 talking to Layla, Lydia, Claire on various topics during lunch hours.\",\"I spent 34 talking to Layla, Lydia, Claire on various topics during lunch hours.\"\n20540,2016/02/01,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n20541,2016/02/01,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n20542,2016/02/02,\"I went grocery shopping with Kayden, Carter. I bought some peaches, guava, pears, tea, and body lotion, conditioner\",\"I went grocery shopping with Kayden, Carter. I bought some peaches, guava, pears, tea, and body lotion, conditioner\"\n20543,2016/02/02,I did swimming on 2016/02/02.,I did swimming on 2016/02/02.\n20544,2016/02/02,\"I had peanut-butter-jam for breakfast with Kayden, Andrew\",\"I had peanut-butter-jam for breakfast with Kayden, Andrew\"\n20545,2016/02/02,I prepare tacos for lunch.,I prepare tacos for lunch.\n20546,2016/02/02,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n20547,2016/02/02,I talked to Claire for 15 minutes in the early afternoon.,I talked to Claire for 15 minutes in the early afternoon.\n20548,2016/02/02,\"I spent 19 talking to Kinsley, Piper on various topics in the early afternoon.\",\"I spent 19 talking to Kinsley, Piper on various topics in the early afternoon.\"\n20549,2016/02/02,I spent 52 talking to Rylee on various topics in the early evening.,I spent 52 talking to Rylee on various topics in the early evening.\n20550,2016/02/02,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n20551,2016/02/02,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n20552,2016/02/03,I went on a date with Carson on 2016/02/03 at a restaurant,I went on a date with Carson on 2016/02/03 at a restaurant\n20553,2016/02/03,I did running on 2016/02/03.,I did running on 2016/02/03.\n20554,2016/02/03,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n20555,2016/02/03,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n20556,2016/02/03,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n20557,2016/02/03,\"I spent 21 talking to Olivia, Kinsley, Claire on various topics in the early afternoon.\",\"I spent 21 talking to Olivia, Kinsley, Claire on various topics in the early afternoon.\"\n20558,2016/02/03,\"I spent 17 talking to Olivia, Nora, Nevaeh, Hazel on various topics in the early afternoon.\",\"I spent 17 talking to Olivia, Nora, Nevaeh, Hazel on various topics in the early afternoon.\"\n20559,2016/02/03,\"I talked to Claire, Avery, Eva, Rylee for 48 minutes late in the evening.\",\"I talked to Claire, Avery, Eva, Rylee for 48 minutes late in the evening.\"\n20560,2016/02/03,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n20561,2016/02/03,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n20562,2016/02/04,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n20563,2016/02/04,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n20564,2016/02/04,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n20565,2016/02/04,I talked to Eva for 21 minutes in the late afternoon.,I talked to Eva for 21 minutes in the late afternoon.\n20566,2016/02/04,\"I spent 47 talking to Rylee, Piper, Eva, Piper on various topics in the early evening.\",\"I spent 47 talking to Rylee, Piper, Eva, Piper on various topics in the early evening.\"\n20567,2016/02/04,\"I spent 23 talking to Claire, Rylee, Nevaeh on various topics in the early evening.\",\"I spent 23 talking to Claire, Rylee, Nevaeh on various topics in the early evening.\"\n20568,2016/02/04,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n20569,2016/02/04,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n20570,2016/02/05,I did running on 2016/02/05.,I did running on 2016/02/05.\n20571,2016/02/05,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n20572,2016/02/05,\"I had fish and chips for lunch with Andrew, Carter\",\"I had fish and chips for lunch with Andrew, Carter\"\n20573,2016/02/05,I ate steak for dinner.,I ate steak for dinner.\n20574,2016/02/05,\"I spent 26 talking to Olivia, Piper on various topics in the late afternoon.\",\"I spent 26 talking to Olivia, Piper on various topics in the late afternoon.\"\n20575,2016/02/05,\"I spent 39 talking to Olivia, Kinsley, Claire on various topics in the early evening.\",\"I spent 39 talking to Olivia, Kinsley, Claire on various topics in the early evening.\"\n20576,2016/02/05,I spent 53 talking to Rylee on various topics in the early evening.,I spent 53 talking to Rylee on various topics in the early evening.\n20577,2016/02/05,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n20578,2016/02/05,I watched a documentary for 49 minutes on TV today.,I watched a documentary for 49 minutes on TV today.\n20579,2016/02/06,I did swimming on 2016/02/06.,I did swimming on 2016/02/06.\n20580,2016/02/06,I had cereals for breakfast with Emily,I had cereals for breakfast with Emily\n20581,2016/02/06,\"I had lunch with Emily, Kayden, Andrew. I ate tacos.\",\"I had lunch with Emily, Kayden, Andrew. I ate tacos.\"\n20582,2016/02/06,I prepare a burger for dinner.,I prepare a burger for dinner.\n20583,2016/02/06,I talked to Layla for 53 minutes in the early afternoon.,I talked to Layla for 53 minutes in the early afternoon.\n20584,2016/02/06,\"I spent 39 talking to Claire, Rylee on various topics in the late afternoon.\",\"I spent 39 talking to Claire, Rylee on various topics in the late afternoon.\"\n20585,2016/02/06,\"I spent 47 talking to Piper, Kinsley, Olivia, Layla on various topics in the early afternoon.\",\"I spent 47 talking to Piper, Kinsley, Olivia, Layla on various topics in the early afternoon.\"\n20586,2016/02/06,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n20587,2016/02/06,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n20588,2016/02/07,I really enjoyed meditation on 2016/02/07,I really enjoyed meditation on 2016/02/07\n20589,2016/02/07,I did swimming on 2016/02/07.,I did swimming on 2016/02/07.\n20590,2016/02/07,I had breakfast with Nevaeh. I ate pancakes.,I had breakfast with Nevaeh. I ate pancakes.\n20591,2016/02/07,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n20592,2016/02/07,I ate pasta for dinner.,I ate pasta for dinner.\n20593,2016/02/07,\"I talked to Hazel, Nevaeh, Piper, Claire for 44 minutes late in the evening.\",\"I talked to Hazel, Nevaeh, Piper, Claire for 44 minutes late in the evening.\"\n20594,2016/02/07,\"I spent 52 talking to Hazel, Nevaeh, Lydia, Avery on various topics in the late afternoon.\",\"I spent 52 talking to Hazel, Nevaeh, Lydia, Avery on various topics in the late afternoon.\"\n20595,2016/02/07,I talked to Layla for 22 minutes during lunch hours.,I talked to Layla for 22 minutes during lunch hours.\n20596,2016/02/07,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n20597,2016/02/07,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n20598,2016/02/08,I really enjoyed meditation on 2016/02/08,I really enjoyed meditation on 2016/02/08\n20599,2016/02/08,I did hiking on 2016/02/08.,I did hiking on 2016/02/08.\n20600,2016/02/08,I had breakfast with Carter. I ate oatmeal.,I had breakfast with Carter. I ate oatmeal.\n20601,2016/02/08,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n20602,2016/02/08,I had dinner with Carter. I ate fish and chips.,I had dinner with Carter. I ate fish and chips.\n20603,2016/02/08,\"I talked to Nora, Rylee, Nevaeh for 8 minutes in the late afternoon.\",\"I talked to Nora, Rylee, Nevaeh for 8 minutes in the late afternoon.\"\n20604,2016/02/08,\"I spent 31 talking to Olivia, Layla, Piper, Avery on various topics late in the evening.\",\"I spent 31 talking to Olivia, Layla, Piper, Avery on various topics late in the evening.\"\n20605,2016/02/08,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n20606,2016/02/08,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n20607,2016/02/09,I did HIIT on 2016/02/09.,I did HIIT on 2016/02/09.\n20608,2016/02/09,\"I had cereals for breakfast with Carter, Kayden\",\"I had cereals for breakfast with Carter, Kayden\"\n20609,2016/02/09,\"I had steak for lunch with Claire, Piper, Eva, Olivia, Nora\",\"I had steak for lunch with Claire, Piper, Eva, Olivia, Nora\"\n20610,2016/02/09,I prepare indian food for dinner.,I prepare indian food for dinner.\n20611,2016/02/09,\"I spent 42 talking to Kinsley, Hazel, Eva on various topics in the early afternoon.\",\"I spent 42 talking to Kinsley, Hazel, Eva on various topics in the early afternoon.\"\n20612,2016/02/09,I talked to Kinsley for 33 minutes in the early afternoon.,I talked to Kinsley for 33 minutes in the early afternoon.\n20613,2016/02/09,\"I talked to Lydia, Olivia, Layla, Rylee for 21 minutes late in the evening.\",\"I talked to Lydia, Olivia, Layla, Rylee for 21 minutes late in the evening.\"\n20614,2016/02/09,\"I talked to Layla, Eva for 22 minutes late in the evening.\",\"I talked to Layla, Eva for 22 minutes late in the evening.\"\n20615,2016/02/09,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n20616,2016/02/09,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n20617,2016/02/10,I did hiking on 2016/02/10.,I did hiking on 2016/02/10.\n20618,2016/02/10,\"I had pancakes for breakfast with Kayden, Andrew\",\"I had pancakes for breakfast with Kayden, Andrew\"\n20619,2016/02/10,\"I had lunch with Rylee, Claire, Olivia, Piper, Lydia, Eva, Layla, Hazel, Kinsley, Nevaeh. I ate sandwich.\",\"I had lunch with Rylee, Claire, Olivia, Piper, Lydia, Eva, Layla, Hazel, Kinsley, Nevaeh. I ate sandwich.\"\n20620,2016/02/10,I ate pasta for dinner.,I ate pasta for dinner.\n20621,2016/02/10,\"I talked to Rylee, Layla, Olivia for 22 minutes in the early evening.\",\"I talked to Rylee, Layla, Olivia for 22 minutes in the early evening.\"\n20622,2016/02/10,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n20623,2016/02/10,I watched a tv series for 14 minutes on TV today.,I watched a tv series for 14 minutes on TV today.\n20624,2016/02/11,I went for an annual physical checkup on 2016/02/11 at the hospital.,I went for an annual physical checkup on 2016/02/11 at the hospital.\n20625,2016/02/11,I did hiking on 2016/02/11.,I did hiking on 2016/02/11.\n20626,2016/02/11,\"I had peanut-butter-jam for breakfast with Willow, Benjamin, Avery, Jackson\",\"I had peanut-butter-jam for breakfast with Willow, Benjamin, Avery, Jackson\"\n20627,2016/02/11,I ate a burger for lunch.,I ate a burger for lunch.\n20628,2016/02/11,\"I had dinner with Willow, Jackson, Benjamin, Avery. I ate chinese food.\",\"I had dinner with Willow, Jackson, Benjamin, Avery. I ate chinese food.\"\n20629,2016/02/11,\"I talked to Piper, Layla, Nevaeh for 6 minutes late in the evening.\",\"I talked to Piper, Layla, Nevaeh for 6 minutes late in the evening.\"\n20630,2016/02/11,I spent 31 talking to Hazel on various topics in the early afternoon.,I spent 31 talking to Hazel on various topics in the early afternoon.\n20631,2016/02/11,I spent 17 talking to Nevaeh on various topics in the morning.,I spent 17 talking to Nevaeh on various topics in the morning.\n20632,2016/02/11,I talked to Claire for 49 minutes in the late afternoon.,I talked to Claire for 49 minutes in the late afternoon.\n20633,2016/02/11,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n20634,2016/02/11,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n20635,2016/02/12,I did HIIT on 2016/02/12.,I did HIIT on 2016/02/12.\n20636,2016/02/12,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n20637,2016/02/12,I had pasta for lunch with Lydia,I had pasta for lunch with Lydia\n20638,2016/02/12,\"I had indian food for dinner with Willow, Benjamin\",\"I had indian food for dinner with Willow, Benjamin\"\n20639,2016/02/12,\"I spent 50 talking to Nevaeh, Hazel, Piper, Olivia on various topics in the morning.\",\"I spent 50 talking to Nevaeh, Hazel, Piper, Olivia on various topics in the morning.\"\n20640,2016/02/12,\"I spent 36 talking to Avery, Lydia, Hazel, Claire on various topics in the morning.\",\"I spent 36 talking to Avery, Lydia, Hazel, Claire on various topics in the morning.\"\n20641,2016/02/12,\"I talked to Eva, Claire for 36 minutes in the early afternoon.\",\"I talked to Eva, Claire for 36 minutes in the early afternoon.\"\n20642,2016/02/12,\"I talked to Lydia, Hazel, Eva for 35 minutes in the late afternoon.\",\"I talked to Lydia, Hazel, Eva for 35 minutes in the late afternoon.\"\n20643,2016/02/12,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n20644,2016/02/12,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n20645,2016/02/13,\"On 2016/02/13, I took Caleb on a date to a park\",\"On 2016/02/13, I took Caleb on a date to a park\"\n20646,2016/02/13,I did weight lifting on 2016/02/13.,I did weight lifting on 2016/02/13.\n20647,2016/02/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n20648,2016/02/13,\"I had lunch with Carter, Kayden, Emily. I ate steak.\",\"I had lunch with Carter, Kayden, Emily. I ate steak.\"\n20649,2016/02/13,I prepare a burger for dinner.,I prepare a burger for dinner.\n20650,2016/02/13,\"I talked to Nevaeh, Eva, Piper, Rylee for 54 minutes late in the evening.\",\"I talked to Nevaeh, Eva, Piper, Rylee for 54 minutes late in the evening.\"\n20651,2016/02/13,\"I talked to Lydia, Piper, Hazel for 7 minutes in the morning.\",\"I talked to Lydia, Piper, Hazel for 7 minutes in the morning.\"\n20652,2016/02/13,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n20653,2016/02/13,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n20654,2016/02/14,I really enjoyed meditation on 2016/02/14,I really enjoyed meditation on 2016/02/14\n20655,2016/02/14,I did HIIT on 2016/02/14.,I did HIIT on 2016/02/14.\n20656,2016/02/14,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n20657,2016/02/14,I prepare a burger for lunch.,I prepare a burger for lunch.\n20658,2016/02/14,I had dinner with Carter. I ate sushi.,I had dinner with Carter. I ate sushi.\n20659,2016/02/14,I talked to Rylee for 18 minutes in the early afternoon.,I talked to Rylee for 18 minutes in the early afternoon.\n20660,2016/02/14,\"I talked to Piper, Avery for 16 minutes during lunch hours.\",\"I talked to Piper, Avery for 16 minutes during lunch hours.\"\n20661,2016/02/14,\"I talked to Layla, Eva, Rylee for 21 minutes during lunch hours.\",\"I talked to Layla, Eva, Rylee for 21 minutes during lunch hours.\"\n20662,2016/02/14,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n20663,2016/02/14,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n20664,2016/02/15,\"On 2016/02/15, I took Hunter on a date to a coffee Shop\",\"On 2016/02/15, I took Hunter on a date to a coffee Shop\"\n20665,2016/02/15,I did running on 2016/02/15.,I did running on 2016/02/15.\n20666,2016/02/15,\"I had breakfast with Rylee, Avery, Nora, Piper, Eva, Piper, Lydia, Olivia, Hazel, Claire, Kinsley, Layla. I ate cereals.\",\"I had breakfast with Rylee, Avery, Nora, Piper, Eva, Piper, Lydia, Olivia, Hazel, Claire, Kinsley, Layla. I ate cereals.\"\n20667,2016/02/15,I had lunch with Carter. I ate a burger.,I had lunch with Carter. I ate a burger.\n20668,2016/02/15,I ate tacos for dinner.,I ate tacos for dinner.\n20669,2016/02/15,\"I spent 19 talking to Nora, Piper, Piper, Rylee on various topics in the morning.\",\"I spent 19 talking to Nora, Piper, Piper, Rylee on various topics in the morning.\"\n20670,2016/02/15,\"I spent 53 talking to Olivia, Layla, Piper on various topics during lunch hours.\",\"I spent 53 talking to Olivia, Layla, Piper on various topics during lunch hours.\"\n20671,2016/02/15,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n20672,2016/02/15,I spent 29 minutes watching a movie on TV today.,I spent 29 minutes watching a movie on TV today.\n20673,2016/02/16,I did hiking on 2016/02/16.,I did hiking on 2016/02/16.\n20674,2016/02/16,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n20675,2016/02/16,I had lunch with Piper. I ate sandwich.,I had lunch with Piper. I ate sandwich.\n20676,2016/02/16,I ate chinese food for dinner.,I ate chinese food for dinner.\n20677,2016/02/16,\"I talked to Olivia, Hazel, Piper, Layla for 33 minutes in the morning.\",\"I talked to Olivia, Hazel, Piper, Layla for 33 minutes in the morning.\"\n20678,2016/02/16,\"I talked to Layla, Nora, Avery for 28 minutes in the late afternoon.\",\"I talked to Layla, Nora, Avery for 28 minutes in the late afternoon.\"\n20679,2016/02/16,\"I spent 48 talking to Avery, Lydia on various topics in the late afternoon.\",\"I spent 48 talking to Avery, Lydia on various topics in the late afternoon.\"\n20680,2016/02/16,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n20681,2016/02/16,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n20682,2016/02/17,\"I went grocery shopping. I bought some raspberries, nectarines, soda, mango juice, sports drinks, and shaving cream, shampoo, conditioner, toilet paper\",\"I went grocery shopping. I bought some raspberries, nectarines, soda, mango juice, sports drinks, and shaving cream, shampoo, conditioner, toilet paper\"\n20683,2016/02/17,I did weight lifting on 2016/02/17.,I did weight lifting on 2016/02/17.\n20684,2016/02/17,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n20685,2016/02/17,I ate steak for lunch.,I ate steak for lunch.\n20686,2016/02/17,I prepare a burger for dinner.,I prepare a burger for dinner.\n20687,2016/02/17,\"I spent 50 talking to Rylee, Claire, Lydia on various topics late in the evening.\",\"I spent 50 talking to Rylee, Claire, Lydia on various topics late in the evening.\"\n20688,2016/02/17,I spent 35 talking to Olivia on various topics in the early evening.,I spent 35 talking to Olivia on various topics in the early evening.\n20689,2016/02/17,I talked to Piper for 27 minutes in the late afternoon.,I talked to Piper for 27 minutes in the late afternoon.\n20690,2016/02/17,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n20691,2016/02/17,I spent 36 minutes watching a documentary on TV today.,I spent 36 minutes watching a documentary on TV today.\n20692,2016/02/18,I did swimming on 2016/02/18.,I did swimming on 2016/02/18.\n20693,2016/02/18,\"I had breakfast with Emily, Kayden, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Kayden, Carter. I ate eggs, sausages, and bread.\"\n20694,2016/02/18,I ate indian food for lunch.,I ate indian food for lunch.\n20695,2016/02/18,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n20696,2016/02/18,\"I talked to Kinsley, Lydia for 42 minutes in the late afternoon.\",\"I talked to Kinsley, Lydia for 42 minutes in the late afternoon.\"\n20697,2016/02/18,\"I spent 8 talking to Kinsley, Olivia, Lydia, Layla on various topics in the morning.\",\"I spent 8 talking to Kinsley, Olivia, Lydia, Layla on various topics in the morning.\"\n20698,2016/02/18,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n20699,2016/02/18,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n20700,2016/02/19,I did swimming on 2016/02/19.,I did swimming on 2016/02/19.\n20701,2016/02/19,\"I had breakfast with Carter, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Kayden. I ate peanut-butter-jam.\"\n20702,2016/02/19,\"I had lunch with Emily, Andrew, Carter. I ate sushi.\",\"I had lunch with Emily, Andrew, Carter. I ate sushi.\"\n20703,2016/02/19,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n20704,2016/02/19,\"I talked to Nora, Eva, Claire, Kinsley for 24 minutes in the morning.\",\"I talked to Nora, Eva, Claire, Kinsley for 24 minutes in the morning.\"\n20705,2016/02/19,\"I talked to Rylee, Nora for 13 minutes in the early evening.\",\"I talked to Rylee, Nora for 13 minutes in the early evening.\"\n20706,2016/02/19,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n20707,2016/02/19,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n20708,2016/02/20,\"I went grocery shopping. I bought some cherres, blackberries, tea, mineral water, apple juice, sports drinks, and paper towel, conditioner, body lotion, toothbrush\",\"I went grocery shopping. I bought some cherres, blackberries, tea, mineral water, apple juice, sports drinks, and paper towel, conditioner, body lotion, toothbrush\"\n20709,2016/02/20,I did running on 2016/02/20.,I did running on 2016/02/20.\n20710,2016/02/20,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n20711,2016/02/20,I ate indian food for lunch.,I ate indian food for lunch.\n20712,2016/02/20,\"I had dinner with Andrew, Carter. I ate sushi.\",\"I had dinner with Andrew, Carter. I ate sushi.\"\n20713,2016/02/20,\"I spent 24 talking to Nora, Piper, Layla, Rylee on various topics late in the evening.\",\"I spent 24 talking to Nora, Piper, Layla, Rylee on various topics late in the evening.\"\n20714,2016/02/20,I spent 42 talking to Layla on various topics during lunch hours.,I spent 42 talking to Layla on various topics during lunch hours.\n20715,2016/02/20,\"I spent 54 talking to Avery, Olivia, Kinsley on various topics late in the evening.\",\"I spent 54 talking to Avery, Olivia, Kinsley on various topics late in the evening.\"\n20716,2016/02/20,\"I talked to Avery, Layla for 15 minutes during lunch hours.\",\"I talked to Avery, Layla for 15 minutes during lunch hours.\"\n20717,2016/02/20,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n20718,2016/02/20,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n20719,2016/02/21,\"On 2016/02/21, I took Roman on a date to a park\",\"On 2016/02/21, I took Roman on a date to a park\"\n20720,2016/02/21,I did HIIT on 2016/02/21.,I did HIIT on 2016/02/21.\n20721,2016/02/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n20722,2016/02/21,I prepare pasta for lunch.,I prepare pasta for lunch.\n20723,2016/02/21,I ate steak for dinner.,I ate steak for dinner.\n20724,2016/02/21,\"I talked to Claire, Eva, Olivia, Rylee for 34 minutes late in the evening.\",\"I talked to Claire, Eva, Olivia, Rylee for 34 minutes late in the evening.\"\n20725,2016/02/21,I spent 51 talking to Nevaeh on various topics in the early evening.,I spent 51 talking to Nevaeh on various topics in the early evening.\n20726,2016/02/21,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n20727,2016/02/21,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n20728,2016/02/22,I did HIIT on 2016/02/22.,I did HIIT on 2016/02/22.\n20729,2016/02/22,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n20730,2016/02/22,I ate a burger for lunch.,I ate a burger for lunch.\n20731,2016/02/22,I prepare tacos for dinner.,I prepare tacos for dinner.\n20732,2016/02/22,\"I spent 13 talking to Lydia, Hazel, Avery, Nevaeh on various topics in the morning.\",\"I spent 13 talking to Lydia, Hazel, Avery, Nevaeh on various topics in the morning.\"\n20733,2016/02/22,I talked to Rylee for 11 minutes in the early afternoon.,I talked to Rylee for 11 minutes in the early afternoon.\n20734,2016/02/22,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n20735,2016/02/22,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n20736,2016/02/23,\"I was cooking salmon chowder on 2016/02/23 with Carter, Kayden at my place\",\"I was cooking salmon chowder on 2016/02/23 with Carter, Kayden at my place\"\n20737,2016/02/23,I did biking on 2016/02/23.,I did biking on 2016/02/23.\n20738,2016/02/23,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n20739,2016/02/23,I ate sushi for lunch.,I ate sushi for lunch.\n20740,2016/02/23,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n20741,2016/02/23,\"I talked to Piper, Lydia, Hazel, Rylee for 10 minutes in the late afternoon.\",\"I talked to Piper, Lydia, Hazel, Rylee for 10 minutes in the late afternoon.\"\n20742,2016/02/23,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n20743,2016/02/23,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n20744,2016/02/24,I did weight lifting on 2016/02/24.,I did weight lifting on 2016/02/24.\n20745,2016/02/24,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n20746,2016/02/24,\"I had sushi for lunch with Emily, Kayden\",\"I had sushi for lunch with Emily, Kayden\"\n20747,2016/02/24,\"I had dinner with Nora, Piper, Claire, Nevaeh, Piper, Rylee, Eva, Olivia, Avery. I ate sandwich.\",\"I had dinner with Nora, Piper, Claire, Nevaeh, Piper, Rylee, Eva, Olivia, Avery. I ate sandwich.\"\n20748,2016/02/24,I spent 15 talking to Avery on various topics late in the evening.,I spent 15 talking to Avery on various topics late in the evening.\n20749,2016/02/24,\"I talked to Claire, Rylee for 28 minutes in the late afternoon.\",\"I talked to Claire, Rylee for 28 minutes in the late afternoon.\"\n20750,2016/02/24,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n20751,2016/02/24,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n20752,2016/02/25,\"On 2016/02/25, I took Jayden on a date to a park\",\"On 2016/02/25, I took Jayden on a date to a park\"\n20753,2016/02/25,\"I went grocery shopping. I bought some pears, cherres, milk, and body lotion\",\"I went grocery shopping. I bought some pears, cherres, milk, and body lotion\"\n20754,2016/02/25,I did biking on 2016/02/25.,I did biking on 2016/02/25.\n20755,2016/02/25,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n20756,2016/02/25,\"I had lunch with Andrew, Emily, Kayden, Carter. I ate sushi.\",\"I had lunch with Andrew, Emily, Kayden, Carter. I ate sushi.\"\n20757,2016/02/25,\"I had pasta for dinner with Kayden, Andrew, Emily\",\"I had pasta for dinner with Kayden, Andrew, Emily\"\n20758,2016/02/25,\"I spent 53 talking to Piper, Rylee on various topics in the morning.\",\"I spent 53 talking to Piper, Rylee on various topics in the morning.\"\n20759,2016/02/25,\"I spent 32 talking to Lydia, Claire, Olivia on various topics late in the evening.\",\"I spent 32 talking to Lydia, Claire, Olivia on various topics late in the evening.\"\n20760,2016/02/25,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n20761,2016/02/25,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n20762,2016/02/26,I did running on 2016/02/26.,I did running on 2016/02/26.\n20763,2016/02/26,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n20764,2016/02/26,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n20765,2016/02/26,I prepare indian food for dinner.,I prepare indian food for dinner.\n20766,2016/02/26,\"I spent 25 talking to Piper, Olivia, Piper on various topics late in the evening.\",\"I spent 25 talking to Piper, Olivia, Piper on various topics late in the evening.\"\n20767,2016/02/26,I spent 31 talking to Layla on various topics in the early afternoon.,I spent 31 talking to Layla on various topics in the early afternoon.\n20768,2016/02/26,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n20769,2016/02/26,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n20770,2016/02/27,\"On 2016/02/27, I took Peyton on a date to a coffee Shop\",\"On 2016/02/27, I took Peyton on a date to a coffee Shop\"\n20771,2016/02/27,I did biking on 2016/02/27.,I did biking on 2016/02/27.\n20772,2016/02/27,\"I had pancakes for breakfast with Nevaeh, Hazel, Kinsley, Avery, Olivia, Piper, Rylee, Nora, Claire, Lydia, Piper, Eva\",\"I had pancakes for breakfast with Nevaeh, Hazel, Kinsley, Avery, Olivia, Piper, Rylee, Nora, Claire, Lydia, Piper, Eva\"\n20773,2016/02/27,\"I had lunch with Rylee, Hazel, Eva, Piper, Avery, Lydia, Piper, Layla, Claire, Olivia, Nevaeh. I ate a burger.\",\"I had lunch with Rylee, Hazel, Eva, Piper, Avery, Lydia, Piper, Layla, Claire, Olivia, Nevaeh. I ate a burger.\"\n20774,2016/02/27,\"I had dinner with Jackson, Benjamin, Willow. I ate chinese food.\",\"I had dinner with Jackson, Benjamin, Willow. I ate chinese food.\"\n20775,2016/02/27,\"I talked to Avery, Layla, Claire, Lydia for 43 minutes during lunch hours.\",\"I talked to Avery, Layla, Claire, Lydia for 43 minutes during lunch hours.\"\n20776,2016/02/27,I talked to Claire for 21 minutes during lunch hours.,I talked to Claire for 21 minutes during lunch hours.\n20777,2016/02/27,\"I talked to Nevaeh, Layla, Avery for 36 minutes in the early afternoon.\",\"I talked to Nevaeh, Layla, Avery for 36 minutes in the early afternoon.\"\n20778,2016/02/27,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n20779,2016/02/27,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n20780,2016/02/28,\"I bought some clementines, raspberries, pears, mango juice, coffee, apple juice, facial wash, paper towel online.\",\"I bought some clementines, raspberries, pears, mango juice, coffee, apple juice, facial wash, paper towel online.\"\n20781,2016/02/28,I did running on 2016/02/28.,I did running on 2016/02/28.\n20782,2016/02/28,\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate toast and cheese.\",\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate toast and cheese.\"\n20783,2016/02/28,\"I had lunch with Avery, Willow, Benjamin. I ate fish and chips.\",\"I had lunch with Avery, Willow, Benjamin. I ate fish and chips.\"\n20784,2016/02/28,I had a burger for dinner with Andrew,I had a burger for dinner with Andrew\n20785,2016/02/28,\"I talked to Nevaeh, Rylee for 53 minutes during lunch hours.\",\"I talked to Nevaeh, Rylee for 53 minutes during lunch hours.\"\n20786,2016/02/28,\"I spent 28 talking to Olivia, Layla, Nora on various topics late in the evening.\",\"I spent 28 talking to Olivia, Layla, Nora on various topics late in the evening.\"\n20787,2016/02/28,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n20788,2016/02/28,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n20789,2016/02/29,\"I had cereals for breakfast with Carter, Emily\",\"I had cereals for breakfast with Carter, Emily\"\n20790,2016/02/29,I prepare tacos for lunch.,I prepare tacos for lunch.\n20791,2016/02/29,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n20792,2016/02/29,\"I talked to Nora, Hazel for 26 minutes in the early afternoon.\",\"I talked to Nora, Hazel for 26 minutes in the early afternoon.\"\n20793,2016/02/29,\"I spent 10 talking to Avery, Eva, Claire on various topics during lunch hours.\",\"I spent 10 talking to Avery, Eva, Claire on various topics during lunch hours.\"\n20794,2016/02/29,I spent 33 talking to Claire on various topics in the early afternoon.,I spent 33 talking to Claire on various topics in the early afternoon.\n20795,2016/02/29,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n20796,2016/02/29,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n20797,2016/03/01,I did swimming on 2016/03/01.,I did swimming on 2016/03/01.\n20798,2016/03/01,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n20799,2016/03/01,\"I had fish and chips for lunch with Eva, Claire, Nevaeh, Hazel, Piper, Lydia, Kinsley, Rylee\",\"I had fish and chips for lunch with Eva, Claire, Nevaeh, Hazel, Piper, Lydia, Kinsley, Rylee\"\n20800,2016/03/01,I had dinner. I ate steak.,I had dinner. I ate steak.\n20801,2016/03/01,\"I talked to Claire, Eva, Piper for 31 minutes in the morning.\",\"I talked to Claire, Eva, Piper for 31 minutes in the morning.\"\n20802,2016/03/01,\"I talked to Lydia, Hazel for 5 minutes late in the evening.\",\"I talked to Lydia, Hazel for 5 minutes late in the evening.\"\n20803,2016/03/01,\"I spent 34 talking to Avery, Eva, Olivia on various topics during lunch hours.\",\"I spent 34 talking to Avery, Eva, Olivia on various topics during lunch hours.\"\n20804,2016/03/01,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n20805,2016/03/01,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n20806,2016/03/02,I did HIIT on 2016/03/02.,I did HIIT on 2016/03/02.\n20807,2016/03/02,\"I had breakfast with Emily, Kayden. I ate pancakes.\",\"I had breakfast with Emily, Kayden. I ate pancakes.\"\n20808,2016/03/02,I ate chinese food for lunch.,I ate chinese food for lunch.\n20809,2016/03/02,I had dinner with Emily. I ate fish and chips.,I had dinner with Emily. I ate fish and chips.\n20810,2016/03/02,\"I spent 21 talking to Olivia, Piper, Lydia on various topics during lunch hours.\",\"I spent 21 talking to Olivia, Piper, Lydia on various topics during lunch hours.\"\n20811,2016/03/02,\"I spent 43 talking to Nora, Hazel on various topics in the late afternoon.\",\"I spent 43 talking to Nora, Hazel on various topics in the late afternoon.\"\n20812,2016/03/02,I talked to Kinsley for 48 minutes in the late afternoon.,I talked to Kinsley for 48 minutes in the late afternoon.\n20813,2016/03/02,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n20814,2016/03/02,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n20815,2016/03/03,\"I bought some pineapples, watermelons, chocolate milk, toilet paper, shaving cream, shampoo, toothpaste online.\",\"I bought some pineapples, watermelons, chocolate milk, toilet paper, shaving cream, shampoo, toothpaste online.\"\n20816,2016/03/03,I did HIIT on 2016/03/03.,I did HIIT on 2016/03/03.\n20817,2016/03/03,\"I had breakfast with Andrew, Emily, Kayden. I ate cereals.\",\"I had breakfast with Andrew, Emily, Kayden. I ate cereals.\"\n20818,2016/03/03,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n20819,2016/03/03,I ate a burger for dinner.,I ate a burger for dinner.\n20820,2016/03/03,\"I spent 5 talking to Hazel, Avery, Layla on various topics in the early evening.\",\"I spent 5 talking to Hazel, Avery, Layla on various topics in the early evening.\"\n20821,2016/03/03,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n20822,2016/03/03,I spent 54 minutes watching a movie on TV today.,I spent 54 minutes watching a movie on TV today.\n20823,2016/03/04,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n20824,2016/03/04,\"I had pasta for lunch with Piper, Avery, Claire, Olivia, Eva, Nora, Nevaeh\",\"I had pasta for lunch with Piper, Avery, Claire, Olivia, Eva, Nora, Nevaeh\"\n20825,2016/03/04,I ate sushi for dinner.,I ate sushi for dinner.\n20826,2016/03/04,\"I talked to Nora, Piper, Layla for 8 minutes late in the evening.\",\"I talked to Nora, Piper, Layla for 8 minutes late in the evening.\"\n20827,2016/03/04,I talked to Claire for 37 minutes in the early afternoon.,I talked to Claire for 37 minutes in the early afternoon.\n20828,2016/03/04,\"I spent 7 talking to Layla, Piper, Rylee on various topics in the early afternoon.\",\"I spent 7 talking to Layla, Piper, Rylee on various topics in the early afternoon.\"\n20829,2016/03/04,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n20830,2016/03/04,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n20831,2016/03/05,I did running on 2016/03/05.,I did running on 2016/03/05.\n20832,2016/03/05,\"I had oatmeal for breakfast with Andrew, Emily, Kayden\",\"I had oatmeal for breakfast with Andrew, Emily, Kayden\"\n20833,2016/03/05,I ate pasta for lunch.,I ate pasta for lunch.\n20834,2016/03/05,I ate sushi for dinner.,I ate sushi for dinner.\n20835,2016/03/05,I talked to Piper for 37 minutes in the late afternoon.,I talked to Piper for 37 minutes in the late afternoon.\n20836,2016/03/05,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n20837,2016/03/05,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n20838,2016/03/06,\"I went grocery shopping. I bought some strawberries, mangos, peaches, milk, pineapple juice, and toothbrush, toilet paper, shampoo\",\"I went grocery shopping. I bought some strawberries, mangos, peaches, milk, pineapple juice, and toothbrush, toilet paper, shampoo\"\n20839,2016/03/06,I did biking on 2016/03/06.,I did biking on 2016/03/06.\n20840,2016/03/06,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n20841,2016/03/06,I had lunch with Carter. I ate tacos.,I had lunch with Carter. I ate tacos.\n20842,2016/03/06,I ate chinese food for dinner.,I ate chinese food for dinner.\n20843,2016/03/06,I talked to Avery for 51 minutes in the morning.,I talked to Avery for 51 minutes in the morning.\n20844,2016/03/06,I talked to Olivia for 49 minutes in the early afternoon.,I talked to Olivia for 49 minutes in the early afternoon.\n20845,2016/03/06,I spent 48 talking to Nevaeh on various topics in the late afternoon.,I spent 48 talking to Nevaeh on various topics in the late afternoon.\n20846,2016/03/06,\"I spent 7 talking to Piper, Eva, Nora on various topics in the late afternoon.\",\"I spent 7 talking to Piper, Eva, Nora on various topics in the late afternoon.\"\n20847,2016/03/06,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n20848,2016/03/06,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n20849,2016/03/07,\"I entertained Avery, Benjamin, Willow, Jackson at my place on 2016/03/07 and bake pistachio oat squares\",\"I entertained Avery, Benjamin, Willow, Jackson at my place on 2016/03/07 and bake pistachio oat squares\"\n20850,2016/03/07,I spent time meditation on 2016/03/07 with Carter.,I spent time meditation on 2016/03/07 with Carter.\n20851,2016/03/07,I did hiking on 2016/03/07.,I did hiking on 2016/03/07.\n20852,2016/03/07,\"I had pancakes for breakfast with Carter, Emily, Kayden\",\"I had pancakes for breakfast with Carter, Emily, Kayden\"\n20853,2016/03/07,\"I had lunch with Emily, Kayden, Andrew, Carter. I ate tacos.\",\"I had lunch with Emily, Kayden, Andrew, Carter. I ate tacos.\"\n20854,2016/03/07,I ate steak for dinner.,I ate steak for dinner.\n20855,2016/03/07,\"I spent 20 talking to Lydia, Eva on various topics in the early afternoon.\",\"I spent 20 talking to Lydia, Eva on various topics in the early afternoon.\"\n20856,2016/03/07,\"I talked to Hazel, Layla, Nora for 13 minutes late in the evening.\",\"I talked to Hazel, Layla, Nora for 13 minutes late in the evening.\"\n20857,2016/03/07,\"I spent 53 talking to Avery, Kinsley on various topics during lunch hours.\",\"I spent 53 talking to Avery, Kinsley on various topics during lunch hours.\"\n20858,2016/03/07,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n20859,2016/03/07,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n20860,2016/03/08,I did HIIT on 2016/03/08.,I did HIIT on 2016/03/08.\n20861,2016/03/08,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n20862,2016/03/08,I ate sandwich for lunch.,I ate sandwich for lunch.\n20863,2016/03/08,I ate chinese food for dinner.,I ate chinese food for dinner.\n20864,2016/03/08,\"I spent 8 talking to Olivia, Piper, Nora, Claire on various topics in the early afternoon.\",\"I spent 8 talking to Olivia, Piper, Nora, Claire on various topics in the early afternoon.\"\n20865,2016/03/08,I talked to Nevaeh for 46 minutes in the morning.,I talked to Nevaeh for 46 minutes in the morning.\n20866,2016/03/08,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n20867,2016/03/08,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n20868,2016/03/09,\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate toast and cheese.\",\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate toast and cheese.\"\n20869,2016/03/09,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n20870,2016/03/09,I prepare a burger for dinner.,I prepare a burger for dinner.\n20871,2016/03/09,\"I talked to Nevaeh, Layla for 49 minutes late in the evening.\",\"I talked to Nevaeh, Layla for 49 minutes late in the evening.\"\n20872,2016/03/09,\"I talked to Piper, Eva for 41 minutes in the morning.\",\"I talked to Piper, Eva for 41 minutes in the morning.\"\n20873,2016/03/09,\"I talked to Layla, Olivia, Eva for 7 minutes during lunch hours.\",\"I talked to Layla, Olivia, Eva for 7 minutes during lunch hours.\"\n20874,2016/03/09,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n20875,2016/03/09,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n20876,2016/03/10,\"I bought some mandarins, pineapples, blackberries, apple juice, orange juice, mineral water, pineapple juice, mouthwash, mouth wash online.\",\"I bought some mandarins, pineapples, blackberries, apple juice, orange juice, mineral water, pineapple juice, mouthwash, mouth wash online.\"\n20877,2016/03/10,I did HIIT on 2016/03/10.,I did HIIT on 2016/03/10.\n20878,2016/03/10,\"I had breakfast with Benjamin, Avery, Willow. I ate toast and cheese.\",\"I had breakfast with Benjamin, Avery, Willow. I ate toast and cheese.\"\n20879,2016/03/10,\"I had lunch with Emily, Andrew, Carter, Kayden. I ate sushi.\",\"I had lunch with Emily, Andrew, Carter, Kayden. I ate sushi.\"\n20880,2016/03/10,I ate chinese food for dinner.,I ate chinese food for dinner.\n20881,2016/03/10,I spent 49 talking to Eva on various topics in the early afternoon.,I spent 49 talking to Eva on various topics in the early afternoon.\n20882,2016/03/10,\"I talked to Olivia, Avery, Rylee for 21 minutes in the morning.\",\"I talked to Olivia, Avery, Rylee for 21 minutes in the morning.\"\n20883,2016/03/10,\"I talked to Claire, Hazel for 22 minutes in the morning.\",\"I talked to Claire, Hazel for 22 minutes in the morning.\"\n20884,2016/03/10,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n20885,2016/03/10,I watched news for 5 minutes on TV today.,I watched news for 5 minutes on TV today.\n20886,2016/03/11,\"On 2016/03/11, I took Elijah on a date to a boba shop\",\"On 2016/03/11, I took Elijah on a date to a boba shop\"\n20887,2016/03/11,I did swimming on 2016/03/11.,I did swimming on 2016/03/11.\n20888,2016/03/11,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n20889,2016/03/11,I prepare steak for lunch.,I prepare steak for lunch.\n20890,2016/03/11,I had dinner with Benjamin. I ate sushi.,I had dinner with Benjamin. I ate sushi.\n20891,2016/03/11,\"I spent 55 talking to Lydia, Layla, Rylee, Piper on various topics in the morning.\",\"I spent 55 talking to Lydia, Layla, Rylee, Piper on various topics in the morning.\"\n20892,2016/03/11,\"I talked to Nora, Layla, Avery for 7 minutes in the early evening.\",\"I talked to Nora, Layla, Avery for 7 minutes in the early evening.\"\n20893,2016/03/11,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n20894,2016/03/11,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n20895,2016/03/12,I did running on 2016/03/12.,I did running on 2016/03/12.\n20896,2016/03/12,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n20897,2016/03/12,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n20898,2016/03/12,I ate tacos for dinner.,I ate tacos for dinner.\n20899,2016/03/12,\"I talked to Nora, Layla for 42 minutes during lunch hours.\",\"I talked to Nora, Layla for 42 minutes during lunch hours.\"\n20900,2016/03/12,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n20901,2016/03/12,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n20902,2016/03/13,\"I bought some raspberries, mangos, mango juice, mineral water, conditioner online.\",\"I bought some raspberries, mangos, mango juice, mineral water, conditioner online.\"\n20903,2016/03/13,I did running on 2016/03/13.,I did running on 2016/03/13.\n20904,2016/03/13,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n20905,2016/03/13,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n20906,2016/03/13,I had dinner with Jackson. I ate sandwich.,I had dinner with Jackson. I ate sandwich.\n20907,2016/03/13,\"I spent 29 talking to Piper, Rylee, Layla on various topics in the early evening.\",\"I spent 29 talking to Piper, Rylee, Layla on various topics in the early evening.\"\n20908,2016/03/13,\"I spent 47 talking to Kinsley, Nevaeh, Eva on various topics in the early afternoon.\",\"I spent 47 talking to Kinsley, Nevaeh, Eva on various topics in the early afternoon.\"\n20909,2016/03/13,\"I talked to Hazel, Kinsley, Nevaeh, Eva for 49 minutes in the early afternoon.\",\"I talked to Hazel, Kinsley, Nevaeh, Eva for 49 minutes in the early afternoon.\"\n20910,2016/03/13,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n20911,2016/03/13,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n20912,2016/03/14,I went on a date with Mila on 2016/03/14 at a park,I went on a date with Mila on 2016/03/14 at a park\n20913,2016/03/14,I did HIIT on 2016/03/14.,I did HIIT on 2016/03/14.\n20914,2016/03/14,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n20915,2016/03/14,\"I had lunch with Layla, Hazel, Nora, Piper, Rylee. I ate indian food.\",\"I had lunch with Layla, Hazel, Nora, Piper, Rylee. I ate indian food.\"\n20916,2016/03/14,I ate chinese food for dinner.,I ate chinese food for dinner.\n20917,2016/03/14,\"I talked to Claire, Hazel for 39 minutes in the late afternoon.\",\"I talked to Claire, Hazel for 39 minutes in the late afternoon.\"\n20918,2016/03/14,\"I talked to Kinsley, Layla for 39 minutes in the early evening.\",\"I talked to Kinsley, Layla for 39 minutes in the early evening.\"\n20919,2016/03/14,\"I talked to Layla, Olivia for 10 minutes during lunch hours.\",\"I talked to Layla, Olivia for 10 minutes during lunch hours.\"\n20920,2016/03/14,\"I spent 18 talking to Olivia, Eva, Piper, Nora on various topics in the early afternoon.\",\"I spent 18 talking to Olivia, Eva, Piper, Nora on various topics in the early afternoon.\"\n20921,2016/03/14,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n20922,2016/03/14,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n20923,2016/03/15,\"I went grocery shopping with Eva, Rylee, Nora, Kinsley. I bought some bananas, apples, soda, guava juice, pineapple juice, and conditioner\",\"I went grocery shopping with Eva, Rylee, Nora, Kinsley. I bought some bananas, apples, soda, guava juice, pineapple juice, and conditioner\"\n20924,2016/03/15,I did hiking on 2016/03/15.,I did hiking on 2016/03/15.\n20925,2016/03/15,\"I had breakfast with Nevaeh, Lydia, Piper, Nora. I ate oatmeal.\",\"I had breakfast with Nevaeh, Lydia, Piper, Nora. I ate oatmeal.\"\n20926,2016/03/15,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n20927,2016/03/15,I had dinner. I ate steak.,I had dinner. I ate steak.\n20928,2016/03/15,I talked to Piper for 49 minutes during lunch hours.,I talked to Piper for 49 minutes during lunch hours.\n20929,2016/03/15,I talked to Nora for 51 minutes in the early evening.,I talked to Nora for 51 minutes in the early evening.\n20930,2016/03/15,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n20931,2016/03/15,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n20932,2016/03/16,\"I had breakfast with Benjamin, Jackson. I ate toast and cheese.\",\"I had breakfast with Benjamin, Jackson. I ate toast and cheese.\"\n20933,2016/03/16,I prepare pasta for lunch.,I prepare pasta for lunch.\n20934,2016/03/16,\"I had dinner with Avery, Hazel, Eva, Nevaeh, Piper, Olivia, Nora, Claire, Layla, Kinsley. I ate sandwich.\",\"I had dinner with Avery, Hazel, Eva, Nevaeh, Piper, Olivia, Nora, Claire, Layla, Kinsley. I ate sandwich.\"\n20935,2016/03/16,\"I spent 51 talking to Hazel, Olivia on various topics late in the evening.\",\"I spent 51 talking to Hazel, Olivia on various topics late in the evening.\"\n20936,2016/03/16,I talked to Hazel for 37 minutes in the early afternoon.,I talked to Hazel for 37 minutes in the early afternoon.\n20937,2016/03/16,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n20938,2016/03/16,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n20939,2016/03/17,I did HIIT on 2016/03/17.,I did HIIT on 2016/03/17.\n20940,2016/03/17,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n20941,2016/03/17,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n20942,2016/03/17,I ate steak for dinner.,I ate steak for dinner.\n20943,2016/03/17,I talked to Hazel for 27 minutes during lunch hours.,I talked to Hazel for 27 minutes during lunch hours.\n20944,2016/03/17,\"I spent 33 talking to Kinsley, Layla on various topics during lunch hours.\",\"I spent 33 talking to Kinsley, Layla on various topics during lunch hours.\"\n20945,2016/03/17,\"I spent 16 talking to Piper, Nevaeh, Nora, Hazel on various topics in the morning.\",\"I spent 16 talking to Piper, Nevaeh, Nora, Hazel on various topics in the morning.\"\n20946,2016/03/17,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n20947,2016/03/17,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n20948,2016/03/18,I did HIIT on 2016/03/18.,I did HIIT on 2016/03/18.\n20949,2016/03/18,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n20950,2016/03/18,\"I had lunch with Avery, Piper, Olivia, Piper, Layla, Nora, Kinsley, Eva, Nevaeh. I ate tacos.\",\"I had lunch with Avery, Piper, Olivia, Piper, Layla, Nora, Kinsley, Eva, Nevaeh. I ate tacos.\"\n20951,2016/03/18,\"I had dinner with Avery, Jackson, Benjamin, Willow. I ate sushi.\",\"I had dinner with Avery, Jackson, Benjamin, Willow. I ate sushi.\"\n20952,2016/03/18,\"I spent 53 talking to Piper, Eva on various topics in the early afternoon.\",\"I spent 53 talking to Piper, Eva on various topics in the early afternoon.\"\n20953,2016/03/18,\"I spent 25 talking to Eva, Layla, Rylee, Claire on various topics during lunch hours.\",\"I spent 25 talking to Eva, Layla, Rylee, Claire on various topics during lunch hours.\"\n20954,2016/03/18,I talked to Lydia for 40 minutes in the morning.,I talked to Lydia for 40 minutes in the morning.\n20955,2016/03/18,\"I spent 52 talking to Piper, Avery, Lydia on various topics in the morning.\",\"I spent 52 talking to Piper, Avery, Lydia on various topics in the morning.\"\n20956,2016/03/18,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n20957,2016/03/18,I watched a documentary for 35 minutes on TV today.,I watched a documentary for 35 minutes on TV today.\n20958,2016/03/19,I did biking on 2016/03/19.,I did biking on 2016/03/19.\n20959,2016/03/19,\"I had eggs, sausages, and bread for breakfast with Piper, Piper, Kinsley, Nora, Rylee, Olivia, Hazel, Layla, Nevaeh, Lydia, Eva\",\"I had eggs, sausages, and bread for breakfast with Piper, Piper, Kinsley, Nora, Rylee, Olivia, Hazel, Layla, Nevaeh, Lydia, Eva\"\n20960,2016/03/19,\"I had sandwich for lunch with Avery, Jackson\",\"I had sandwich for lunch with Avery, Jackson\"\n20961,2016/03/19,\"I had a burger for dinner with Benjamin, Avery, Jackson\",\"I had a burger for dinner with Benjamin, Avery, Jackson\"\n20962,2016/03/19,\"I talked to Claire, Olivia, Hazel, Nora for 18 minutes in the early afternoon.\",\"I talked to Claire, Olivia, Hazel, Nora for 18 minutes in the early afternoon.\"\n20963,2016/03/19,I spent 30 talking to Layla on various topics late in the evening.,I spent 30 talking to Layla on various topics late in the evening.\n20964,2016/03/19,I spent 42 talking to Kinsley on various topics in the morning.,I spent 42 talking to Kinsley on various topics in the morning.\n20965,2016/03/19,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n20966,2016/03/19,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n20967,2016/03/20,I did biking on 2016/03/20.,I did biking on 2016/03/20.\n20968,2016/03/20,\"I had breakfast with Eva, Piper, Rylee, Layla, Hazel, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Eva, Piper, Rylee, Layla, Hazel, Piper. I ate eggs, sausages, and bread.\"\n20969,2016/03/20,I had pasta for lunch with Piper,I had pasta for lunch with Piper\n20970,2016/03/20,\"I had dinner with Piper, Avery, Piper, Nevaeh, Rylee, Eva, Lydia, Hazel. I ate a burger.\",\"I had dinner with Piper, Avery, Piper, Nevaeh, Rylee, Eva, Lydia, Hazel. I ate a burger.\"\n20971,2016/03/20,\"I talked to Nora, Eva for 27 minutes in the late afternoon.\",\"I talked to Nora, Eva for 27 minutes in the late afternoon.\"\n20972,2016/03/20,I spent 44 talking to Nora on various topics late in the evening.,I spent 44 talking to Nora on various topics late in the evening.\n20973,2016/03/20,\"I talked to Piper, Piper, Nora for 46 minutes in the late afternoon.\",\"I talked to Piper, Piper, Nora for 46 minutes in the late afternoon.\"\n20974,2016/03/20,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n20975,2016/03/20,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n20976,2016/03/21,I did biking on 2016/03/21.,I did biking on 2016/03/21.\n20977,2016/03/21,\"I had breakfast with Piper, Kinsley, Avery, Olivia, Claire, Hazel, Nevaeh, Lydia. I ate pancakes.\",\"I had breakfast with Piper, Kinsley, Avery, Olivia, Claire, Hazel, Nevaeh, Lydia. I ate pancakes.\"\n20978,2016/03/21,\"I had fish and chips for lunch with Kayden, Emily\",\"I had fish and chips for lunch with Kayden, Emily\"\n20979,2016/03/21,I ate a burger for dinner.,I ate a burger for dinner.\n20980,2016/03/21,I talked to Eva for 18 minutes in the late afternoon.,I talked to Eva for 18 minutes in the late afternoon.\n20981,2016/03/21,\"I spent 23 talking to Piper, Olivia, Piper, Claire on various topics in the morning.\",\"I spent 23 talking to Piper, Olivia, Piper, Claire on various topics in the morning.\"\n20982,2016/03/21,\"I talked to Layla, Claire for 21 minutes in the early afternoon.\",\"I talked to Layla, Claire for 21 minutes in the early afternoon.\"\n20983,2016/03/21,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n20984,2016/03/21,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n20985,2016/03/22,I did running on 2016/03/22.,I did running on 2016/03/22.\n20986,2016/03/22,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n20987,2016/03/22,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n20988,2016/03/22,I ate chinese food for dinner.,I ate chinese food for dinner.\n20989,2016/03/22,\"I spent 32 talking to Layla, Olivia, Lydia, Avery on various topics during lunch hours.\",\"I spent 32 talking to Layla, Olivia, Lydia, Avery on various topics during lunch hours.\"\n20990,2016/03/22,\"I talked to Kinsley, Nora, Piper for 31 minutes late in the evening.\",\"I talked to Kinsley, Nora, Piper for 31 minutes late in the evening.\"\n20991,2016/03/22,\"I spent 44 talking to Layla, Rylee, Hazel on various topics in the early afternoon.\",\"I spent 44 talking to Layla, Rylee, Hazel on various topics in the early afternoon.\"\n20992,2016/03/22,\"I talked to Kinsley, Nevaeh, Piper, Layla for 43 minutes in the late afternoon.\",\"I talked to Kinsley, Nevaeh, Piper, Layla for 43 minutes in the late afternoon.\"\n20993,2016/03/22,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n20994,2016/03/22,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n20995,2016/03/23,I did hiking on 2016/03/23.,I did hiking on 2016/03/23.\n20996,2016/03/23,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n20997,2016/03/23,I had lunch with Kinsley. I ate sandwich.,I had lunch with Kinsley. I ate sandwich.\n20998,2016/03/23,\"I had tacos for dinner with Rylee, Layla, Lydia, Claire, Avery, Nevaeh, Nora, Eva, Olivia, Piper, Piper, Kinsley\",\"I had tacos for dinner with Rylee, Layla, Lydia, Claire, Avery, Nevaeh, Nora, Eva, Olivia, Piper, Piper, Kinsley\"\n20999,2016/03/23,I talked to Kinsley for 37 minutes late in the evening.,I talked to Kinsley for 37 minutes late in the evening.\n21000,2016/03/23,\"I talked to Olivia, Nevaeh, Rylee for 22 minutes in the morning.\",\"I talked to Olivia, Nevaeh, Rylee for 22 minutes in the morning.\"\n21001,2016/03/23,\"I talked to Piper, Piper, Kinsley, Nevaeh for 37 minutes in the early afternoon.\",\"I talked to Piper, Piper, Kinsley, Nevaeh for 37 minutes in the early afternoon.\"\n21002,2016/03/23,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n21003,2016/03/23,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n21004,2016/03/24,I went on a date with Hudson on 2016/03/24 at a boba shop,I went on a date with Hudson on 2016/03/24 at a boba shop\n21005,2016/03/24,\"I bought some strawberries, cherres, tea, soda, coffee, body lotion from the grocery store. I saw Nora, Nevaeh, Eva, Piper, Olivia, Lydia, Claire, Piper, Avery, Kinsley, Rylee, Layla, Hazel at the grocery store.\",\"I bought some strawberries, cherres, tea, soda, coffee, body lotion from the grocery store. I saw Nora, Nevaeh, Eva, Piper, Olivia, Lydia, Claire, Piper, Avery, Kinsley, Rylee, Layla, Hazel at the grocery store.\"\n21006,2016/03/24,I did HIIT on 2016/03/24.,I did HIIT on 2016/03/24.\n21007,2016/03/24,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n21008,2016/03/24,I had a burger for lunch with Jackson,I had a burger for lunch with Jackson\n21009,2016/03/24,I ate sushi for dinner.,I ate sushi for dinner.\n21010,2016/03/24,\"I spent 32 talking to Eva, Piper on various topics in the morning.\",\"I spent 32 talking to Eva, Piper on various topics in the morning.\"\n21011,2016/03/24,\"I talked to Layla, Avery, Claire for 32 minutes in the late afternoon.\",\"I talked to Layla, Avery, Claire for 32 minutes in the late afternoon.\"\n21012,2016/03/24,I talked to Kinsley for 45 minutes during lunch hours.,I talked to Kinsley for 45 minutes during lunch hours.\n21013,2016/03/24,I spent 7 talking to Nevaeh on various topics late in the evening.,I spent 7 talking to Nevaeh on various topics late in the evening.\n21014,2016/03/24,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n21015,2016/03/24,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n21016,2016/03/25,\"On 2016/03/25, I took Ezekiel on a date to a restaurant\",\"On 2016/03/25, I took Ezekiel on a date to a restaurant\"\n21017,2016/03/25,I did running on 2016/03/25.,I did running on 2016/03/25.\n21018,2016/03/25,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n21019,2016/03/25,I ate pasta for lunch.,I ate pasta for lunch.\n21020,2016/03/25,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n21021,2016/03/25,\"I talked to Eva, Layla, Olivia, Piper for 31 minutes in the early evening.\",\"I talked to Eva, Layla, Olivia, Piper for 31 minutes in the early evening.\"\n21022,2016/03/25,\"I spent 40 talking to Rylee, Layla on various topics in the early evening.\",\"I spent 40 talking to Rylee, Layla on various topics in the early evening.\"\n21023,2016/03/25,\"I spent 17 talking to Nevaeh, Avery, Lydia on various topics in the morning.\",\"I spent 17 talking to Nevaeh, Avery, Lydia on various topics in the morning.\"\n21024,2016/03/25,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n21025,2016/03/25,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n21026,2016/03/26,I did HIIT on 2016/03/26.,I did HIIT on 2016/03/26.\n21027,2016/03/26,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n21028,2016/03/26,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n21029,2016/03/26,\"I had indian food for dinner with Layla, Rylee, Avery, Claire, Olivia, Piper, Lydia, Eva, Nevaeh, Hazel, Piper\",\"I had indian food for dinner with Layla, Rylee, Avery, Claire, Olivia, Piper, Lydia, Eva, Nevaeh, Hazel, Piper\"\n21030,2016/03/26,\"I talked to Olivia, Claire for 38 minutes during lunch hours.\",\"I talked to Olivia, Claire for 38 minutes during lunch hours.\"\n21031,2016/03/26,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n21032,2016/03/26,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n21033,2016/03/27,\"On 2016/03/27 Piper and I went to London, UK together for 6 days \",\"On 2016/03/27 Piper and I went to London, UK together for 6 days \"\n21034,2016/03/27,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n21035,2016/03/27,\"I had chinese food for lunch with Andrew, Carter, Kayden\",\"I had chinese food for lunch with Andrew, Carter, Kayden\"\n21036,2016/03/27,\"I had dinner with Avery, Eva, Hazel. I ate sushi.\",\"I had dinner with Avery, Eva, Hazel. I ate sushi.\"\n21037,2016/03/27,I spent 17 talking to Nora on various topics in the early evening.,I spent 17 talking to Nora on various topics in the early evening.\n21038,2016/03/27,\"I spent 10 talking to Nora, Piper on various topics in the morning.\",\"I spent 10 talking to Nora, Piper on various topics in the morning.\"\n21039,2016/03/27,\"I spent 38 talking to Piper, Lydia, Hazel on various topics during lunch hours.\",\"I spent 38 talking to Piper, Lydia, Hazel on various topics during lunch hours.\"\n21040,2016/03/27,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n21041,2016/03/27,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n21042,2016/03/28,\"During my trip to London, UK, I visited London Eye on 2016/03 with Piper.\",\"During my trip to London, UK, I visited London Eye on 2016/03 with Piper.\"\n21043,2016/03/28,\"I ate Chinese food at Broadway Market with Piper on  2016/03/28 when I was in London, UK.\",\"I ate Chinese food at Broadway Market with Piper on  2016/03/28 when I was in London, UK.\"\n21044,2016/03/28,\"I went grocery shopping. I bought some cherres, orange juice, soda, guava juice, chocolate milk, and facial wash, mouth wash\",\"I went grocery shopping. I bought some cherres, orange juice, soda, guava juice, chocolate milk, and facial wash, mouth wash\"\n21045,2016/03/28,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n21046,2016/03/28,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n21047,2016/03/28,I ate pasta for dinner.,I ate pasta for dinner.\n21048,2016/03/28,\"I talked to Layla, Rylee for 48 minutes in the early evening.\",\"I talked to Layla, Rylee for 48 minutes in the early evening.\"\n21049,2016/03/28,\"I spent 42 talking to Olivia, Avery, Eva on various topics in the early afternoon.\",\"I spent 42 talking to Olivia, Avery, Eva on various topics in the early afternoon.\"\n21050,2016/03/28,\"I talked to Nevaeh, Claire for 48 minutes in the early afternoon.\",\"I talked to Nevaeh, Claire for 48 minutes in the early afternoon.\"\n21051,2016/03/28,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n21052,2016/03/28,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n21053,2016/03/29,\"During my trip to London, UK, I visited Westminster on 2016/03 with Piper.\",\"During my trip to London, UK, I visited Westminster on 2016/03 with Piper.\"\n21054,2016/03/29,\"I ate Japanese food at Bang Bang Oriental with Piper on  2016/03/29 when I was in London, UK.\",\"I ate Japanese food at Bang Bang Oriental with Piper on  2016/03/29 when I was in London, UK.\"\n21055,2016/03/29,\"On 2016/03/29, I took Evelyn on a date to a park\",\"On 2016/03/29, I took Evelyn on a date to a park\"\n21056,2016/03/29,I had pancakes for breakfast with Kayden,I had pancakes for breakfast with Kayden\n21057,2016/03/29,\"I had lunch with Avery, Jackson. I ate fish and chips.\",\"I had lunch with Avery, Jackson. I ate fish and chips.\"\n21058,2016/03/29,I ate sushi for dinner.,I ate sushi for dinner.\n21059,2016/03/29,\"I talked to Piper, Nevaeh, Lydia, Hazel for 32 minutes in the late afternoon.\",\"I talked to Piper, Nevaeh, Lydia, Hazel for 32 minutes in the late afternoon.\"\n21060,2016/03/29,\"I spent 53 talking to Piper, Piper, Eva on various topics in the late afternoon.\",\"I spent 53 talking to Piper, Piper, Eva on various topics in the late afternoon.\"\n21061,2016/03/29,\"I spent 13 talking to Lydia, Piper on various topics late in the evening.\",\"I spent 13 talking to Lydia, Piper on various topics late in the evening.\"\n21062,2016/03/29,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n21063,2016/03/29,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n21064,2016/03/30,\"During my trip to London, UK, I visited Camden on 2016/03 with Piper.\",\"During my trip to London, UK, I visited Camden on 2016/03 with Piper.\"\n21065,2016/03/30,\"I ate Japanese food at Brixton Village with Piper on  2016/03/30 when I was in London, UK.\",\"I ate Japanese food at Brixton Village with Piper on  2016/03/30 when I was in London, UK.\"\n21066,2016/03/30,\"I had peanut-butter-jam for breakfast with Hazel, Kinsley, Nora, Piper\",\"I had peanut-butter-jam for breakfast with Hazel, Kinsley, Nora, Piper\"\n21067,2016/03/30,\"I had lunch with Kayden, Emily, Andrew, Carter. I ate sushi.\",\"I had lunch with Kayden, Emily, Andrew, Carter. I ate sushi.\"\n21068,2016/03/30,\"I had dinner with Emily, Kayden, Carter. I ate sushi.\",\"I had dinner with Emily, Kayden, Carter. I ate sushi.\"\n21069,2016/03/30,\"I spent 36 talking to Piper, Hazel on various topics in the early afternoon.\",\"I spent 36 talking to Piper, Hazel on various topics in the early afternoon.\"\n21070,2016/03/30,I spent 49 talking to Nora on various topics during lunch hours.,I spent 49 talking to Nora on various topics during lunch hours.\n21071,2016/03/30,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n21072,2016/03/30,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n21073,2016/03/31,\"During my trip to London, UK, I visited Tower of London on 2016/03 with Piper.\",\"During my trip to London, UK, I visited Tower of London on 2016/03 with Piper.\"\n21074,2016/03/31,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n21075,2016/03/31,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n21076,2016/03/31,I ate pasta for dinner.,I ate pasta for dinner.\n21077,2016/03/31,\"I spent 51 talking to Nora, Kinsley, Eva on various topics in the late afternoon.\",\"I spent 51 talking to Nora, Kinsley, Eva on various topics in the late afternoon.\"\n21078,2016/03/31,\"I talked to Lydia, Rylee, Claire for 42 minutes late in the evening.\",\"I talked to Lydia, Rylee, Claire for 42 minutes late in the evening.\"\n21079,2016/03/31,\"I talked to Eva, Lydia, Piper, Nora for 27 minutes late in the evening.\",\"I talked to Eva, Lydia, Piper, Nora for 27 minutes late in the evening.\"\n21080,2016/03/31,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n21081,2016/03/31,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n21082,2016/04/01,\"During my trip to London, UK, I visited Hyde Park on 2016/04 with Piper.\",\"During my trip to London, UK, I visited Hyde Park on 2016/04 with Piper.\"\n21083,2016/04/01,\"I ate Indian food at Berwick Street Market with Piper on  2016/04/01 when I was in London, UK.\",\"I ate Indian food at Berwick Street Market with Piper on  2016/04/01 when I was in London, UK.\"\n21084,2016/04/01,I had toast and cheese for breakfast with Carter,I had toast and cheese for breakfast with Carter\n21085,2016/04/01,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n21086,2016/04/01,\"I had dinner with Carter, Andrew, Kayden. I ate indian food.\",\"I had dinner with Carter, Andrew, Kayden. I ate indian food.\"\n21087,2016/04/01,\"I spent 43 talking to Piper, Eva, Avery, Piper on various topics in the early afternoon.\",\"I spent 43 talking to Piper, Eva, Avery, Piper on various topics in the early afternoon.\"\n21088,2016/04/01,\"I spent 6 talking to Eva, Claire, Lydia, Piper on various topics in the morning.\",\"I spent 6 talking to Eva, Claire, Lydia, Piper on various topics in the morning.\"\n21089,2016/04/01,\"I talked to Avery, Layla for 27 minutes in the early afternoon.\",\"I talked to Avery, Layla for 27 minutes in the early afternoon.\"\n21090,2016/04/01,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n21091,2016/04/01,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n21092,2016/04/02,\"I ate local food at Bang Bang Oriental with Piper on  2016/04/02 when I was in London, UK.\",\"I ate local food at Bang Bang Oriental with Piper on  2016/04/02 when I was in London, UK.\"\n21093,2016/04/02,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n21094,2016/04/02,I ate tacos for lunch.,I ate tacos for lunch.\n21095,2016/04/02,I ate steak for dinner.,I ate steak for dinner.\n21096,2016/04/02,\"I spent 42 talking to Kinsley, Claire, Layla on various topics during lunch hours.\",\"I spent 42 talking to Kinsley, Claire, Layla on various topics during lunch hours.\"\n21097,2016/04/02,\"I talked to Rylee, Piper, Eva, Avery for 9 minutes late in the evening.\",\"I talked to Rylee, Piper, Eva, Avery for 9 minutes late in the evening.\"\n21098,2016/04/02,\"I spent 6 talking to Nora, Lydia, Olivia, Avery on various topics in the late afternoon.\",\"I spent 6 talking to Nora, Lydia, Olivia, Avery on various topics in the late afternoon.\"\n21099,2016/04/02,\"I talked to Layla, Avery, Kinsley, Eva for 24 minutes in the late afternoon.\",\"I talked to Layla, Avery, Kinsley, Eva for 24 minutes in the late afternoon.\"\n21100,2016/04/02,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n21101,2016/04/02,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n21102,2016/04/03,\"I went grocery shopping. I bought some apples, mineral water, mango juice, soda, and paper towel, shampoo, mouth wash, conditioner\",\"I went grocery shopping. I bought some apples, mineral water, mango juice, soda, and paper towel, shampoo, mouth wash, conditioner\"\n21103,2016/04/03,I did HIIT on 2016/04/03.,I did HIIT on 2016/04/03.\n21104,2016/04/03,\"I had breakfast with Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter. I ate eggs, sausages, and bread.\"\n21105,2016/04/03,I had fish and chips for lunch with Olivia,I had fish and chips for lunch with Olivia\n21106,2016/04/03,I ate steak for dinner.,I ate steak for dinner.\n21107,2016/04/03,I spent 17 talking to Layla on various topics late in the evening.,I spent 17 talking to Layla on various topics late in the evening.\n21108,2016/04/03,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n21109,2016/04/03,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n21110,2016/04/04,\"I bought some nectarines, watermelons, raspberries, mangos, apple juice, toothbrush, shaving cream, mouthwash from the grocery store. I saw Willow at the grocery store.\",\"I bought some nectarines, watermelons, raspberries, mangos, apple juice, toothbrush, shaving cream, mouthwash from the grocery store. I saw Willow at the grocery store.\"\n21111,2016/04/04,I did weight lifting on 2016/04/04.,I did weight lifting on 2016/04/04.\n21112,2016/04/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n21113,2016/04/04,\"I had lunch with Emily, Kayden, Andrew. I ate a burger.\",\"I had lunch with Emily, Kayden, Andrew. I ate a burger.\"\n21114,2016/04/04,I ate tacos for dinner.,I ate tacos for dinner.\n21115,2016/04/04,I talked to Hazel for 12 minutes in the morning.,I talked to Hazel for 12 minutes in the morning.\n21116,2016/04/04,I talked to Nora for 5 minutes in the early evening.,I talked to Nora for 5 minutes in the early evening.\n21117,2016/04/04,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n21118,2016/04/04,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n21119,2016/04/05,I did hiking on 2016/04/05.,I did hiking on 2016/04/05.\n21120,2016/04/05,\"I had breakfast with Nora, Piper, Olivia, Lydia, Layla, Avery. I ate toast and cheese.\",\"I had breakfast with Nora, Piper, Olivia, Lydia, Layla, Avery. I ate toast and cheese.\"\n21121,2016/04/05,I prepare steak for lunch.,I prepare steak for lunch.\n21122,2016/04/05,I prepare sushi for dinner.,I prepare sushi for dinner.\n21123,2016/04/05,\"I talked to Nevaeh, Layla, Piper, Nora for 44 minutes late in the evening.\",\"I talked to Nevaeh, Layla, Piper, Nora for 44 minutes late in the evening.\"\n21124,2016/04/05,\"I spent 15 talking to Rylee, Nora on various topics in the early evening.\",\"I spent 15 talking to Rylee, Nora on various topics in the early evening.\"\n21125,2016/04/05,I spent 6 talking to Olivia on various topics in the late afternoon.,I spent 6 talking to Olivia on various topics in the late afternoon.\n21126,2016/04/05,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n21127,2016/04/05,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n21128,2016/04/06,I did weight lifting on 2016/04/06.,I did weight lifting on 2016/04/06.\n21129,2016/04/06,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n21130,2016/04/06,I ate a burger for lunch.,I ate a burger for lunch.\n21131,2016/04/06,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n21132,2016/04/06,\"I talked to Avery, Hazel for 44 minutes in the early afternoon.\",\"I talked to Avery, Hazel for 44 minutes in the early afternoon.\"\n21133,2016/04/06,\"I talked to Piper, Kinsley, Nora, Nevaeh for 40 minutes in the early evening.\",\"I talked to Piper, Kinsley, Nora, Nevaeh for 40 minutes in the early evening.\"\n21134,2016/04/06,\"I talked to Avery, Nevaeh for 54 minutes in the early afternoon.\",\"I talked to Avery, Nevaeh for 54 minutes in the early afternoon.\"\n21135,2016/04/06,\"I spent 32 talking to Piper, Nevaeh, Avery on various topics in the morning.\",\"I spent 32 talking to Piper, Nevaeh, Avery on various topics in the morning.\"\n21136,2016/04/06,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n21137,2016/04/06,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n21138,2016/04/07,\"On 2016/04/07, I took Robert on a date to a park\",\"On 2016/04/07, I took Robert on a date to a park\"\n21139,2016/04/07,I really enjoyed learning a language on 2016/04/07,I really enjoyed learning a language on 2016/04/07\n21140,2016/04/07,I did hiking on 2016/04/07.,I did hiking on 2016/04/07.\n21141,2016/04/07,\"I had cereals for breakfast with Emily, Kayden, Andrew, Carter\",\"I had cereals for breakfast with Emily, Kayden, Andrew, Carter\"\n21142,2016/04/07,I ate sandwich for lunch.,I ate sandwich for lunch.\n21143,2016/04/07,\"I had sushi for dinner with Avery, Kinsley, Piper, Nora, Hazel, Lydia, Claire, Rylee, Layla, Nevaeh, Piper, Eva, Olivia\",\"I had sushi for dinner with Avery, Kinsley, Piper, Nora, Hazel, Lydia, Claire, Rylee, Layla, Nevaeh, Piper, Eva, Olivia\"\n21144,2016/04/07,\"I spent 40 talking to Nevaeh, Piper on various topics late in the evening.\",\"I spent 40 talking to Nevaeh, Piper on various topics late in the evening.\"\n21145,2016/04/07,I spent 45 talking to Nevaeh on various topics in the early afternoon.,I spent 45 talking to Nevaeh on various topics in the early afternoon.\n21146,2016/04/07,\"I spent 34 talking to Piper, Avery on various topics late in the evening.\",\"I spent 34 talking to Piper, Avery on various topics late in the evening.\"\n21147,2016/04/07,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n21148,2016/04/07,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n21149,2016/04/08,I really enjoyed meditation on 2016/04/08,I really enjoyed meditation on 2016/04/08\n21150,2016/04/08,I did running on 2016/04/08.,I did running on 2016/04/08.\n21151,2016/04/08,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n21152,2016/04/08,\"I had fish and chips for lunch with Claire, Kinsley, Piper, Avery, Rylee, Piper, Olivia, Hazel, Layla\",\"I had fish and chips for lunch with Claire, Kinsley, Piper, Avery, Rylee, Piper, Olivia, Hazel, Layla\"\n21153,2016/04/08,\"I had dinner with Emily, Carter. I ate fish and chips.\",\"I had dinner with Emily, Carter. I ate fish and chips.\"\n21154,2016/04/08,\"I talked to Rylee, Lydia for 53 minutes in the late afternoon.\",\"I talked to Rylee, Lydia for 53 minutes in the late afternoon.\"\n21155,2016/04/08,\"I talked to Avery, Lydia, Nora, Claire for 11 minutes during lunch hours.\",\"I talked to Avery, Lydia, Nora, Claire for 11 minutes during lunch hours.\"\n21156,2016/04/08,I talked to Olivia for 10 minutes in the morning.,I talked to Olivia for 10 minutes in the morning.\n21157,2016/04/08,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n21158,2016/04/08,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n21159,2016/04/09,I did hiking on 2016/04/09.,I did hiking on 2016/04/09.\n21160,2016/04/09,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n21161,2016/04/09,I ate indian food for lunch.,I ate indian food for lunch.\n21162,2016/04/09,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n21163,2016/04/09,\"I talked to Claire, Piper, Hazel, Kinsley for 18 minutes late in the evening.\",\"I talked to Claire, Piper, Hazel, Kinsley for 18 minutes late in the evening.\"\n21164,2016/04/09,\"I spent 15 talking to Nevaeh, Nora, Avery, Kinsley on various topics late in the evening.\",\"I spent 15 talking to Nevaeh, Nora, Avery, Kinsley on various topics late in the evening.\"\n21165,2016/04/09,\"I talked to Piper, Layla, Nora for 49 minutes in the early afternoon.\",\"I talked to Piper, Layla, Nora for 49 minutes in the early afternoon.\"\n21166,2016/04/09,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n21167,2016/04/09,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n21168,2016/04/10,I went on a date with Ryan on 2016/04/10 at a coffee Shop,I went on a date with Ryan on 2016/04/10 at a coffee Shop\n21169,2016/04/10,I did HIIT on 2016/04/10.,I did HIIT on 2016/04/10.\n21170,2016/04/10,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n21171,2016/04/10,I prepare pasta for lunch.,I prepare pasta for lunch.\n21172,2016/04/10,\"I had dinner with Andrew, Kayden, Carter, Emily. I ate sandwich.\",\"I had dinner with Andrew, Kayden, Carter, Emily. I ate sandwich.\"\n21173,2016/04/10,I talked to Layla for 54 minutes in the late afternoon.,I talked to Layla for 54 minutes in the late afternoon.\n21174,2016/04/10,\"I talked to Kinsley, Piper for 46 minutes in the early afternoon.\",\"I talked to Kinsley, Piper for 46 minutes in the early afternoon.\"\n21175,2016/04/10,I talked to Piper for 55 minutes in the late afternoon.,I talked to Piper for 55 minutes in the late afternoon.\n21176,2016/04/10,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n21177,2016/04/10,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n21178,2016/04/11,I went on a date with Joshua on 2016/04/11 at a park,I went on a date with Joshua on 2016/04/11 at a park\n21179,2016/04/11,I did HIIT on 2016/04/11.,I did HIIT on 2016/04/11.\n21180,2016/04/11,\"I had breakfast with Nora, Layla, Rylee, Avery, Kinsley, Piper. I ate oatmeal.\",\"I had breakfast with Nora, Layla, Rylee, Avery, Kinsley, Piper. I ate oatmeal.\"\n21181,2016/04/11,\"I had lunch with Kayden, Carter, Andrew, Emily. I ate pasta.\",\"I had lunch with Kayden, Carter, Andrew, Emily. I ate pasta.\"\n21182,2016/04/11,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n21183,2016/04/11,\"I spent 7 talking to Hazel, Avery, Lydia, Kinsley on various topics during lunch hours.\",\"I spent 7 talking to Hazel, Avery, Lydia, Kinsley on various topics during lunch hours.\"\n21184,2016/04/11,I spent 24 talking to Hazel on various topics in the early evening.,I spent 24 talking to Hazel on various topics in the early evening.\n21185,2016/04/11,\"I talked to Nora, Avery, Piper, Claire for 19 minutes late in the evening.\",\"I talked to Nora, Avery, Piper, Claire for 19 minutes late in the evening.\"\n21186,2016/04/11,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n21187,2016/04/11,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n21188,2016/04/12,\"I bought some peaches, raspberries, guava, coffee, orange juice, mango juice, guava juice, mouth wash, toothbrush, conditioner from the grocery store. I saw Kayden, Andrew, Emily, Carter at the grocery store.\",\"I bought some peaches, raspberries, guava, coffee, orange juice, mango juice, guava juice, mouth wash, toothbrush, conditioner from the grocery store. I saw Kayden, Andrew, Emily, Carter at the grocery store.\"\n21189,2016/04/12,I did biking on 2016/04/12.,I did biking on 2016/04/12.\n21190,2016/04/12,\"I had eggs, sausages, and bread for breakfast with Avery, Piper, Olivia, Nevaeh, Layla, Piper, Lydia, Kinsley, Claire, Rylee, Eva\",\"I had eggs, sausages, and bread for breakfast with Avery, Piper, Olivia, Nevaeh, Layla, Piper, Lydia, Kinsley, Claire, Rylee, Eva\"\n21191,2016/04/12,\"I had steak for lunch with Andrew, Carter, Kayden\",\"I had steak for lunch with Andrew, Carter, Kayden\"\n21192,2016/04/12,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n21193,2016/04/12,I talked to Avery for 41 minutes in the early evening.,I talked to Avery for 41 minutes in the early evening.\n21194,2016/04/12,\"I spent 41 talking to Piper, Claire on various topics in the morning.\",\"I spent 41 talking to Piper, Claire on various topics in the morning.\"\n21195,2016/04/12,I talked to Piper for 35 minutes in the early evening.,I talked to Piper for 35 minutes in the early evening.\n21196,2016/04/12,I talked to Hazel for 47 minutes in the early afternoon.,I talked to Hazel for 47 minutes in the early afternoon.\n21197,2016/04/12,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n21198,2016/04/12,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n21199,2016/04/13,I did weight lifting on 2016/04/13.,I did weight lifting on 2016/04/13.\n21200,2016/04/13,I ate cereals for breakfast.,I ate cereals for breakfast.\n21201,2016/04/13,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n21202,2016/04/13,I ate a burger for dinner.,I ate a burger for dinner.\n21203,2016/04/13,I talked to Piper for 32 minutes during lunch hours.,I talked to Piper for 32 minutes during lunch hours.\n21204,2016/04/13,I talked to Hazel for 30 minutes during lunch hours.,I talked to Hazel for 30 minutes during lunch hours.\n21205,2016/04/13,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n21206,2016/04/13,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n21207,2016/04/14,I did HIIT on 2016/04/14.,I did HIIT on 2016/04/14.\n21208,2016/04/14,\"I had breakfast with Hazel, Piper, Piper, Nora, Avery, Claire, Olivia, Eva, Rylee, Lydia, Nevaeh, Layla, Kinsley. I ate peanut-butter-jam.\",\"I had breakfast with Hazel, Piper, Piper, Nora, Avery, Claire, Olivia, Eva, Rylee, Lydia, Nevaeh, Layla, Kinsley. I ate peanut-butter-jam.\"\n21209,2016/04/14,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n21210,2016/04/14,I ate sandwich for dinner.,I ate sandwich for dinner.\n21211,2016/04/14,\"I talked to Lydia, Rylee, Layla for 8 minutes in the late afternoon.\",\"I talked to Lydia, Rylee, Layla for 8 minutes in the late afternoon.\"\n21212,2016/04/14,I talked to Eva for 41 minutes in the morning.,I talked to Eva for 41 minutes in the morning.\n21213,2016/04/14,\"I spent 51 talking to Piper, Nora on various topics in the early afternoon.\",\"I spent 51 talking to Piper, Nora on various topics in the early afternoon.\"\n21214,2016/04/14,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n21215,2016/04/14,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n21216,2016/04/15,I went on a date with Parker on 2016/04/15 at a restaurant,I went on a date with Parker on 2016/04/15 at a restaurant\n21217,2016/04/15,\"I went grocery shopping with Hazel, Nevaeh, Piper, Rylee, Claire, Avery, Piper. I bought some clementines, watermelons, tea, and shampoo, toothbrush, toilet paper\",\"I went grocery shopping with Hazel, Nevaeh, Piper, Rylee, Claire, Avery, Piper. I bought some clementines, watermelons, tea, and shampoo, toothbrush, toilet paper\"\n21218,2016/04/15,I did swimming on 2016/04/15.,I did swimming on 2016/04/15.\n21219,2016/04/15,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n21220,2016/04/15,\"I had sushi for lunch with Andrew, Emily\",\"I had sushi for lunch with Andrew, Emily\"\n21221,2016/04/15,\"I had dinner with Jackson, Willow. I ate chinese food.\",\"I had dinner with Jackson, Willow. I ate chinese food.\"\n21222,2016/04/15,\"I talked to Avery, Piper, Rylee, Kinsley for 22 minutes in the early afternoon.\",\"I talked to Avery, Piper, Rylee, Kinsley for 22 minutes in the early afternoon.\"\n21223,2016/04/15,\"I spent 25 talking to Eva, Nora on various topics late in the evening.\",\"I spent 25 talking to Eva, Nora on various topics late in the evening.\"\n21224,2016/04/15,\"I spent 18 talking to Nevaeh, Olivia, Piper on various topics in the early afternoon.\",\"I spent 18 talking to Nevaeh, Olivia, Piper on various topics in the early afternoon.\"\n21225,2016/04/15,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n21226,2016/04/15,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n21227,2016/04/16,I did running on 2016/04/16.,I did running on 2016/04/16.\n21228,2016/04/16,I had toast and cheese for breakfast with Piper,I had toast and cheese for breakfast with Piper\n21229,2016/04/16,I had lunch with Jackson. I ate tacos.,I had lunch with Jackson. I ate tacos.\n21230,2016/04/16,I ate pasta for dinner.,I ate pasta for dinner.\n21231,2016/04/16,\"I talked to Rylee, Avery, Lydia, Eva for 7 minutes during lunch hours.\",\"I talked to Rylee, Avery, Lydia, Eva for 7 minutes during lunch hours.\"\n21232,2016/04/16,\"I talked to Piper, Olivia, Kinsley for 5 minutes in the morning.\",\"I talked to Piper, Olivia, Kinsley for 5 minutes in the morning.\"\n21233,2016/04/16,\"I talked to Nora, Avery, Olivia, Piper for 41 minutes during lunch hours.\",\"I talked to Nora, Avery, Olivia, Piper for 41 minutes during lunch hours.\"\n21234,2016/04/16,\"I spent 30 talking to Rylee, Piper, Kinsley on various topics during lunch hours.\",\"I spent 30 talking to Rylee, Piper, Kinsley on various topics during lunch hours.\"\n21235,2016/04/16,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n21236,2016/04/16,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n21237,2016/04/17,I did running on 2016/04/17.,I did running on 2016/04/17.\n21238,2016/04/17,\"I had toast and cheese for breakfast with Olivia, Piper, Nevaeh, Avery, Claire, Eva, Layla, Nora, Piper, Kinsley, Rylee, Hazel, Lydia\",\"I had toast and cheese for breakfast with Olivia, Piper, Nevaeh, Avery, Claire, Eva, Layla, Nora, Piper, Kinsley, Rylee, Hazel, Lydia\"\n21239,2016/04/17,I had lunch. I ate steak.,I had lunch. I ate steak.\n21240,2016/04/17,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n21241,2016/04/17,\"I talked to Avery, Layla, Claire for 17 minutes in the early afternoon.\",\"I talked to Avery, Layla, Claire for 17 minutes in the early afternoon.\"\n21242,2016/04/17,I spent 45 talking to Claire on various topics in the early afternoon.,I spent 45 talking to Claire on various topics in the early afternoon.\n21243,2016/04/17,\"I talked to Layla, Hazel for 44 minutes in the morning.\",\"I talked to Layla, Hazel for 44 minutes in the morning.\"\n21244,2016/04/17,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n21245,2016/04/17,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n21246,2016/04/18,\"I went grocery shopping. I bought some blackberries, nectarines, oranges, chocolate milk, mango juice, and shaving cream, toothpaste\",\"I went grocery shopping. I bought some blackberries, nectarines, oranges, chocolate milk, mango juice, and shaving cream, toothpaste\"\n21247,2016/04/18,I did swimming on 2016/04/18.,I did swimming on 2016/04/18.\n21248,2016/04/18,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n21249,2016/04/18,\"I had steak for lunch with Benjamin, Willow, Jackson\",\"I had steak for lunch with Benjamin, Willow, Jackson\"\n21250,2016/04/18,I had dinner. I ate steak.,I had dinner. I ate steak.\n21251,2016/04/18,\"I spent 14 talking to Layla, Eva, Piper on various topics in the early afternoon.\",\"I spent 14 talking to Layla, Eva, Piper on various topics in the early afternoon.\"\n21252,2016/04/18,\"I talked to Kinsley, Piper, Olivia, Lydia for 38 minutes late in the evening.\",\"I talked to Kinsley, Piper, Olivia, Lydia for 38 minutes late in the evening.\"\n21253,2016/04/18,I spent 52 talking to Eva on various topics in the morning.,I spent 52 talking to Eva on various topics in the morning.\n21254,2016/04/18,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n21255,2016/04/18,I watched a documentary for 41 minutes on TV today.,I watched a documentary for 41 minutes on TV today.\n21256,2016/04/19,\"On 2016/04/19, I took Robert on a date to a coffee Shop\",\"On 2016/04/19, I took Robert on a date to a coffee Shop\"\n21257,2016/04/19,I did swimming on 2016/04/19.,I did swimming on 2016/04/19.\n21258,2016/04/19,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n21259,2016/04/19,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n21260,2016/04/19,\"I had pasta for dinner with Kayden, Andrew, Carter\",\"I had pasta for dinner with Kayden, Andrew, Carter\"\n21261,2016/04/19,I talked to Kinsley for 50 minutes late in the evening.,I talked to Kinsley for 50 minutes late in the evening.\n21262,2016/04/19,\"I spent 42 talking to Nevaeh, Eva, Piper, Olivia on various topics in the late afternoon.\",\"I spent 42 talking to Nevaeh, Eva, Piper, Olivia on various topics in the late afternoon.\"\n21263,2016/04/19,\"I spent 27 talking to Kinsley, Piper on various topics late in the evening.\",\"I spent 27 talking to Kinsley, Piper on various topics late in the evening.\"\n21264,2016/04/19,\"I talked to Nevaeh, Kinsley, Claire for 20 minutes in the late afternoon.\",\"I talked to Nevaeh, Kinsley, Claire for 20 minutes in the late afternoon.\"\n21265,2016/04/19,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n21266,2016/04/19,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n21267,2016/04/20,I spent some time gardening on 2016/04/20.,I spent some time gardening on 2016/04/20.\n21268,2016/04/20,I did running on 2016/04/20.,I did running on 2016/04/20.\n21269,2016/04/20,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n21270,2016/04/20,\"I had steak for lunch with Piper, Olivia, Nevaeh, Lydia, Layla, Avery, Eva, Kinsley, Hazel, Piper, Rylee, Nora\",\"I had steak for lunch with Piper, Olivia, Nevaeh, Lydia, Layla, Avery, Eva, Kinsley, Hazel, Piper, Rylee, Nora\"\n21271,2016/04/20,I had indian food for dinner with Kayden,I had indian food for dinner with Kayden\n21272,2016/04/20,\"I spent 31 talking to Claire, Lydia, Layla, Nora on various topics late in the evening.\",\"I spent 31 talking to Claire, Lydia, Layla, Nora on various topics late in the evening.\"\n21273,2016/04/20,I spent 18 talking to Avery on various topics in the early evening.,I spent 18 talking to Avery on various topics in the early evening.\n21274,2016/04/20,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n21275,2016/04/20,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n21276,2016/04/21,I did hiking on 2016/04/21.,I did hiking on 2016/04/21.\n21277,2016/04/21,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n21278,2016/04/21,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n21279,2016/04/21,\"I had sushi for dinner with Emily, Carter, Andrew\",\"I had sushi for dinner with Emily, Carter, Andrew\"\n21280,2016/04/21,I talked to Avery for 23 minutes during lunch hours.,I talked to Avery for 23 minutes during lunch hours.\n21281,2016/04/21,\"I talked to Nora, Olivia, Hazel, Piper for 16 minutes late in the evening.\",\"I talked to Nora, Olivia, Hazel, Piper for 16 minutes late in the evening.\"\n21282,2016/04/21,\"I talked to Layla, Avery for 48 minutes in the late afternoon.\",\"I talked to Layla, Avery for 48 minutes in the late afternoon.\"\n21283,2016/04/21,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n21284,2016/04/21,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n21285,2016/04/22,I did swimming on 2016/04/22.,I did swimming on 2016/04/22.\n21286,2016/04/22,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n21287,2016/04/22,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n21288,2016/04/22,I had dinner with Avery. I ate sandwich.,I had dinner with Avery. I ate sandwich.\n21289,2016/04/22,\"I talked to Olivia, Piper for 8 minutes in the early afternoon.\",\"I talked to Olivia, Piper for 8 minutes in the early afternoon.\"\n21290,2016/04/22,\"I spent 40 talking to Lydia, Rylee on various topics late in the evening.\",\"I spent 40 talking to Lydia, Rylee on various topics late in the evening.\"\n21291,2016/04/22,\"I talked to Kinsley, Piper for 16 minutes in the early evening.\",\"I talked to Kinsley, Piper for 16 minutes in the early evening.\"\n21292,2016/04/22,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n21293,2016/04/22,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n21294,2016/04/23,I did swimming on 2016/04/23.,I did swimming on 2016/04/23.\n21295,2016/04/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n21296,2016/04/23,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n21297,2016/04/23,I ate sandwich for dinner.,I ate sandwich for dinner.\n21298,2016/04/23,\"I talked to Eva, Layla, Lydia, Olivia for 15 minutes in the early afternoon.\",\"I talked to Eva, Layla, Lydia, Olivia for 15 minutes in the early afternoon.\"\n21299,2016/04/23,I spent 47 talking to Nevaeh on various topics in the late afternoon.,I spent 47 talking to Nevaeh on various topics in the late afternoon.\n21300,2016/04/23,\"I talked to Nevaeh, Hazel for 32 minutes in the morning.\",\"I talked to Nevaeh, Hazel for 32 minutes in the morning.\"\n21301,2016/04/23,\"I spent 23 talking to Layla, Nora, Rylee, Eva on various topics late in the evening.\",\"I spent 23 talking to Layla, Nora, Rylee, Eva on various topics late in the evening.\"\n21302,2016/04/23,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n21303,2016/04/23,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n21304,2016/04/24,I did swimming on 2016/04/24.,I did swimming on 2016/04/24.\n21305,2016/04/24,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n21306,2016/04/24,I ate pasta for lunch.,I ate pasta for lunch.\n21307,2016/04/24,\"I had dinner with Eva, Olivia. I ate sandwich.\",\"I had dinner with Eva, Olivia. I ate sandwich.\"\n21308,2016/04/24,\"I talked to Rylee, Kinsley for 15 minutes in the late afternoon.\",\"I talked to Rylee, Kinsley for 15 minutes in the late afternoon.\"\n21309,2016/04/24,I talked to Hazel for 8 minutes late in the evening.,I talked to Hazel for 8 minutes late in the evening.\n21310,2016/04/24,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n21311,2016/04/24,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n21312,2016/04/25,\"On 2016/04/25, I took Mike on a date to a coffee Shop\",\"On 2016/04/25, I took Mike on a date to a coffee Shop\"\n21313,2016/04/25,I did swimming on 2016/04/25.,I did swimming on 2016/04/25.\n21314,2016/04/25,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n21315,2016/04/25,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n21316,2016/04/25,I had dinner with Rylee. I ate a burger.,I had dinner with Rylee. I ate a burger.\n21317,2016/04/25,I spent 14 talking to Rylee on various topics late in the evening.,I spent 14 talking to Rylee on various topics late in the evening.\n21318,2016/04/25,I talked to Nora for 29 minutes in the morning.,I talked to Nora for 29 minutes in the morning.\n21319,2016/04/25,\"I talked to Piper, Nora for 32 minutes late in the evening.\",\"I talked to Piper, Nora for 32 minutes late in the evening.\"\n21320,2016/04/25,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n21321,2016/04/25,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n21322,2016/04/26,I did biking on 2016/04/26.,I did biking on 2016/04/26.\n21323,2016/04/26,\"I had breakfast with Hazel, Eva, Piper, Olivia, Rylee, Nevaeh, Lydia, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Hazel, Eva, Piper, Olivia, Rylee, Nevaeh, Lydia, Avery. I ate peanut-butter-jam.\"\n21324,2016/04/26,\"I had lunch with Claire, Piper. I ate sushi.\",\"I had lunch with Claire, Piper. I ate sushi.\"\n21325,2016/04/26,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n21326,2016/04/26,\"I spent 17 talking to Hazel, Layla, Piper on various topics in the late afternoon.\",\"I spent 17 talking to Hazel, Layla, Piper on various topics in the late afternoon.\"\n21327,2016/04/26,\"I spent 19 talking to Piper, Rylee, Olivia, Nevaeh on various topics in the early evening.\",\"I spent 19 talking to Piper, Rylee, Olivia, Nevaeh on various topics in the early evening.\"\n21328,2016/04/26,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n21329,2016/04/26,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n21330,2016/04/27,\"I really enjoyed cooking air-fryer brats, gado gado on 2016/04/27 with Kayden, Carter, Andrew, Emily at my place\",\"I really enjoyed cooking air-fryer brats, gado gado on 2016/04/27 with Kayden, Carter, Andrew, Emily at my place\"\n21331,2016/04/27,\"I went grocery shopping. I bought some blackberries, pineapples, raspberries, watermelons, apple juice, chocolate milk, orange juice, and shampoo, mouth wash\",\"I went grocery shopping. I bought some blackberries, pineapples, raspberries, watermelons, apple juice, chocolate milk, orange juice, and shampoo, mouth wash\"\n21332,2016/04/27,I did swimming on 2016/04/27.,I did swimming on 2016/04/27.\n21333,2016/04/27,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n21334,2016/04/27,I had sandwich for lunch with Benjamin,I had sandwich for lunch with Benjamin\n21335,2016/04/27,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n21336,2016/04/27,I talked to Piper for 20 minutes in the late afternoon.,I talked to Piper for 20 minutes in the late afternoon.\n21337,2016/04/27,I talked to Hazel for 42 minutes during lunch hours.,I talked to Hazel for 42 minutes during lunch hours.\n21338,2016/04/27,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n21339,2016/04/27,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n21340,2016/04/28,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n21341,2016/04/28,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n21342,2016/04/28,\"I had pasta for dinner with Emily, Carter, Andrew\",\"I had pasta for dinner with Emily, Carter, Andrew\"\n21343,2016/04/28,\"I talked to Nevaeh, Olivia, Rylee, Avery for 38 minutes in the early evening.\",\"I talked to Nevaeh, Olivia, Rylee, Avery for 38 minutes in the early evening.\"\n21344,2016/04/28,I talked to Lydia for 49 minutes in the early afternoon.,I talked to Lydia for 49 minutes in the early afternoon.\n21345,2016/04/28,\"I spent 15 talking to Avery, Piper on various topics during lunch hours.\",\"I spent 15 talking to Avery, Piper on various topics during lunch hours.\"\n21346,2016/04/28,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n21347,2016/04/28,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n21348,2016/04/29,I did HIIT on 2016/04/29.,I did HIIT on 2016/04/29.\n21349,2016/04/29,\"I had peanut-butter-jam for breakfast with Avery, Olivia, Kinsley, Lydia, Eva\",\"I had peanut-butter-jam for breakfast with Avery, Olivia, Kinsley, Lydia, Eva\"\n21350,2016/04/29,I ate a burger for lunch.,I ate a burger for lunch.\n21351,2016/04/29,I prepare indian food for dinner.,I prepare indian food for dinner.\n21352,2016/04/29,\"I spent 48 talking to Piper, Layla, Nora on various topics in the morning.\",\"I spent 48 talking to Piper, Layla, Nora on various topics in the morning.\"\n21353,2016/04/29,\"I talked to Avery, Hazel, Nora, Rylee for 17 minutes late in the evening.\",\"I talked to Avery, Hazel, Nora, Rylee for 17 minutes late in the evening.\"\n21354,2016/04/29,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n21355,2016/04/29,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n21356,2016/04/30,I did running on 2016/04/30.,I did running on 2016/04/30.\n21357,2016/04/30,\"I had breakfast with Jackson, Benjamin, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Benjamin, Willow. I ate eggs, sausages, and bread.\"\n21358,2016/04/30,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n21359,2016/04/30,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n21360,2016/04/30,I spent 46 talking to Olivia on various topics in the morning.,I spent 46 talking to Olivia on various topics in the morning.\n21361,2016/04/30,\"I spent 8 talking to Nevaeh, Eva, Rylee on various topics in the early evening.\",\"I spent 8 talking to Nevaeh, Eva, Rylee on various topics in the early evening.\"\n21362,2016/04/30,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n21363,2016/04/30,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n21364,2016/05/01,\"I bought some mandarins, pears, apples, mango juice, chocolate milk, guava juice, conditioner, facial wash, mouth wash from the grocery store. I saw Andrew, Emily, Carter at the grocery store.\",\"I bought some mandarins, pears, apples, mango juice, chocolate milk, guava juice, conditioner, facial wash, mouth wash from the grocery store. I saw Andrew, Emily, Carter at the grocery store.\"\n21365,2016/05/01,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n21366,2016/05/01,\"I had sandwich for lunch with Kinsley, Lydia, Layla, Nevaeh, Claire\",\"I had sandwich for lunch with Kinsley, Lydia, Layla, Nevaeh, Claire\"\n21367,2016/05/01,\"I had chinese food for dinner with Benjamin, Willow, Jackson\",\"I had chinese food for dinner with Benjamin, Willow, Jackson\"\n21368,2016/05/01,\"I talked to Eva, Nevaeh for 14 minutes during lunch hours.\",\"I talked to Eva, Nevaeh for 14 minutes during lunch hours.\"\n21369,2016/05/01,I spent 49 talking to Avery on various topics late in the evening.,I spent 49 talking to Avery on various topics late in the evening.\n21370,2016/05/01,I spent 25 talking to Claire on various topics in the late afternoon.,I spent 25 talking to Claire on various topics in the late afternoon.\n21371,2016/05/01,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n21372,2016/05/01,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n21373,2016/05/02,I did hiking on 2016/05/02.,I did hiking on 2016/05/02.\n21374,2016/05/02,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n21375,2016/05/02,\"I had lunch with Nevaeh, Eva, Avery, Hazel, Rylee, Claire, Olivia, Piper, Lydia, Kinsley, Nora, Layla. I ate sandwich.\",\"I had lunch with Nevaeh, Eva, Avery, Hazel, Rylee, Claire, Olivia, Piper, Lydia, Kinsley, Nora, Layla. I ate sandwich.\"\n21376,2016/05/02,\"I had dinner with Avery, Willow. I ate indian food.\",\"I had dinner with Avery, Willow. I ate indian food.\"\n21377,2016/05/02,I talked to Hazel for 35 minutes in the late afternoon.,I talked to Hazel for 35 minutes in the late afternoon.\n21378,2016/05/02,\"I talked to Piper, Piper for 20 minutes late in the evening.\",\"I talked to Piper, Piper for 20 minutes late in the evening.\"\n21379,2016/05/02,I spent 25 talking to Avery on various topics in the early evening.,I spent 25 talking to Avery on various topics in the early evening.\n21380,2016/05/02,\"I spent 17 talking to Kinsley, Rylee, Nevaeh on various topics in the early evening.\",\"I spent 17 talking to Kinsley, Rylee, Nevaeh on various topics in the early evening.\"\n21381,2016/05/02,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n21382,2016/05/02,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n21383,2016/05/03,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n21384,2016/05/03,I ate tacos for lunch.,I ate tacos for lunch.\n21385,2016/05/03,I ate pasta for dinner.,I ate pasta for dinner.\n21386,2016/05/03,I spent 45 talking to Lydia on various topics in the late afternoon.,I spent 45 talking to Lydia on various topics in the late afternoon.\n21387,2016/05/03,\"I spent 37 talking to Avery, Nevaeh, Claire on various topics in the morning.\",\"I spent 37 talking to Avery, Nevaeh, Claire on various topics in the morning.\"\n21388,2016/05/03,\"I talked to Nora, Piper, Nevaeh, Rylee for 9 minutes in the early afternoon.\",\"I talked to Nora, Piper, Nevaeh, Rylee for 9 minutes in the early afternoon.\"\n21389,2016/05/03,\"I talked to Piper, Eva for 26 minutes in the early evening.\",\"I talked to Piper, Eva for 26 minutes in the early evening.\"\n21390,2016/05/03,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n21391,2016/05/03,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n21392,2016/05/04,\"I went grocery shopping. I bought some strawberries, blackberries, mangos, mango juice, and paper towel, shaving cream, facial wash, conditioner\",\"I went grocery shopping. I bought some strawberries, blackberries, mangos, mango juice, and paper towel, shaving cream, facial wash, conditioner\"\n21393,2016/05/04,I did hiking on 2016/05/04.,I did hiking on 2016/05/04.\n21394,2016/05/04,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n21395,2016/05/04,I prepare pasta for lunch.,I prepare pasta for lunch.\n21396,2016/05/04,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n21397,2016/05/04,\"I spent 14 talking to Avery, Eva, Lydia on various topics in the early evening.\",\"I spent 14 talking to Avery, Eva, Lydia on various topics in the early evening.\"\n21398,2016/05/04,\"I spent 54 talking to Layla, Nora, Nevaeh on various topics during lunch hours.\",\"I spent 54 talking to Layla, Nora, Nevaeh on various topics during lunch hours.\"\n21399,2016/05/04,I talked to Piper for 45 minutes late in the evening.,I talked to Piper for 45 minutes late in the evening.\n21400,2016/05/04,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n21401,2016/05/04,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n21402,2016/05/05,I did running on 2016/05/05.,I did running on 2016/05/05.\n21403,2016/05/05,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n21404,2016/05/05,I prepare indian food for lunch.,I prepare indian food for lunch.\n21405,2016/05/05,I ate a burger for dinner.,I ate a burger for dinner.\n21406,2016/05/05,\"I spent 23 talking to Rylee, Claire, Piper, Lydia on various topics in the morning.\",\"I spent 23 talking to Rylee, Claire, Piper, Lydia on various topics in the morning.\"\n21407,2016/05/05,\"I spent 22 talking to Nevaeh, Rylee, Layla on various topics during lunch hours.\",\"I spent 22 talking to Nevaeh, Rylee, Layla on various topics during lunch hours.\"\n21408,2016/05/05,\"I talked to Layla, Lydia, Kinsley for 42 minutes in the early afternoon.\",\"I talked to Layla, Lydia, Kinsley for 42 minutes in the early afternoon.\"\n21409,2016/05/05,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n21410,2016/05/05,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n21411,2016/05/06,\"On 2016/05/06, I took Sarah on a date to a boba shop\",\"On 2016/05/06, I took Sarah on a date to a boba shop\"\n21412,2016/05/06,I did swimming on 2016/05/06.,I did swimming on 2016/05/06.\n21413,2016/05/06,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n21414,2016/05/06,I had lunch. I ate steak.,I had lunch. I ate steak.\n21415,2016/05/06,I had dinner. I ate steak.,I had dinner. I ate steak.\n21416,2016/05/06,\"I spent 40 talking to Claire, Nora, Kinsley on various topics in the early afternoon.\",\"I spent 40 talking to Claire, Nora, Kinsley on various topics in the early afternoon.\"\n21417,2016/05/06,\"I spent 7 talking to Piper, Eva, Kinsley, Olivia on various topics during lunch hours.\",\"I spent 7 talking to Piper, Eva, Kinsley, Olivia on various topics during lunch hours.\"\n21418,2016/05/06,\"I talked to Avery, Olivia, Layla, Nevaeh for 37 minutes in the early afternoon.\",\"I talked to Avery, Olivia, Layla, Nevaeh for 37 minutes in the early afternoon.\"\n21419,2016/05/06,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n21420,2016/05/06,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n21421,2016/05/07,\"I spent time learning a language on 2016/05/07 with Eva, Claire, Olivia.\",\"I spent time learning a language on 2016/05/07 with Eva, Claire, Olivia.\"\n21422,2016/05/07,I did biking on 2016/05/07.,I did biking on 2016/05/07.\n21423,2016/05/07,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n21424,2016/05/07,\"I had pasta for lunch with Kayden, Emily\",\"I had pasta for lunch with Kayden, Emily\"\n21425,2016/05/07,\"I had dinner with Rylee, Avery, Piper, Claire, Lydia, Nevaeh, Nora, Piper, Hazel, Olivia, Eva, Layla. I ate tacos.\",\"I had dinner with Rylee, Avery, Piper, Claire, Lydia, Nevaeh, Nora, Piper, Hazel, Olivia, Eva, Layla. I ate tacos.\"\n21426,2016/05/07,I spent 50 talking to Lydia on various topics in the late afternoon.,I spent 50 talking to Lydia on various topics in the late afternoon.\n21427,2016/05/07,\"I spent 41 talking to Avery, Lydia on various topics in the late afternoon.\",\"I spent 41 talking to Avery, Lydia on various topics in the late afternoon.\"\n21428,2016/05/07,\"I talked to Layla, Lydia, Piper, Piper for 17 minutes in the early evening.\",\"I talked to Layla, Lydia, Piper, Piper for 17 minutes in the early evening.\"\n21429,2016/05/07,\"I spent 36 talking to Nevaeh, Avery, Kinsley on various topics in the late afternoon.\",\"I spent 36 talking to Nevaeh, Avery, Kinsley on various topics in the late afternoon.\"\n21430,2016/05/07,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n21431,2016/05/07,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n21432,2016/05/08,\"I went grocery shopping. I bought some clementines, cherres, pears, peaches, soda, orange juice, and body lotion\",\"I went grocery shopping. I bought some clementines, cherres, pears, peaches, soda, orange juice, and body lotion\"\n21433,2016/05/08,I did running on 2016/05/08.,I did running on 2016/05/08.\n21434,2016/05/08,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n21435,2016/05/08,I prepare tacos for lunch.,I prepare tacos for lunch.\n21436,2016/05/08,I ate indian food for dinner.,I ate indian food for dinner.\n21437,2016/05/08,\"I spent 23 talking to Nora, Hazel, Claire, Rylee on various topics during lunch hours.\",\"I spent 23 talking to Nora, Hazel, Claire, Rylee on various topics during lunch hours.\"\n21438,2016/05/08,\"I talked to Claire, Rylee for 22 minutes in the late afternoon.\",\"I talked to Claire, Rylee for 22 minutes in the late afternoon.\"\n21439,2016/05/08,\"I talked to Olivia, Lydia, Nora for 37 minutes in the early afternoon.\",\"I talked to Olivia, Lydia, Nora for 37 minutes in the early afternoon.\"\n21440,2016/05/08,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n21441,2016/05/08,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n21442,2016/05/09,\"I went grocery shopping with Kayden, Andrew, Carter. I bought some raspberries, pineapples, watermelons, strawberries, guava juice, tea, and conditioner, mouth wash, body lotion\",\"I went grocery shopping with Kayden, Andrew, Carter. I bought some raspberries, pineapples, watermelons, strawberries, guava juice, tea, and conditioner, mouth wash, body lotion\"\n21443,2016/05/09,\"I had oatmeal for breakfast with Carter, Kayden\",\"I had oatmeal for breakfast with Carter, Kayden\"\n21444,2016/05/09,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n21445,2016/05/09,I ate a burger for dinner.,I ate a burger for dinner.\n21446,2016/05/09,\"I spent 52 talking to Nora, Layla, Piper on various topics in the late afternoon.\",\"I spent 52 talking to Nora, Layla, Piper on various topics in the late afternoon.\"\n21447,2016/05/09,\"I spent 24 talking to Nora, Layla, Kinsley, Piper on various topics during lunch hours.\",\"I spent 24 talking to Nora, Layla, Kinsley, Piper on various topics during lunch hours.\"\n21448,2016/05/09,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n21449,2016/05/09,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n21450,2016/05/10,I did swimming on 2016/05/10.,I did swimming on 2016/05/10.\n21451,2016/05/10,\"I had breakfast with Benjamin, Avery. I ate toast and cheese.\",\"I had breakfast with Benjamin, Avery. I ate toast and cheese.\"\n21452,2016/05/10,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n21453,2016/05/10,\"I had dinner with Emily, Kayden. I ate indian food.\",\"I had dinner with Emily, Kayden. I ate indian food.\"\n21454,2016/05/10,\"I spent 31 talking to Eva, Nora on various topics in the morning.\",\"I spent 31 talking to Eva, Nora on various topics in the morning.\"\n21455,2016/05/10,\"I spent 30 talking to Nevaeh, Piper, Hazel, Kinsley on various topics late in the evening.\",\"I spent 30 talking to Nevaeh, Piper, Hazel, Kinsley on various topics late in the evening.\"\n21456,2016/05/10,\"I talked to Kinsley, Rylee for 10 minutes late in the evening.\",\"I talked to Kinsley, Rylee for 10 minutes late in the evening.\"\n21457,2016/05/10,I spent 6 talking to Olivia on various topics late in the evening.,I spent 6 talking to Olivia on various topics late in the evening.\n21458,2016/05/10,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n21459,2016/05/10,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n21460,2016/05/11,I did weight lifting on 2016/05/11.,I did weight lifting on 2016/05/11.\n21461,2016/05/11,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n21462,2016/05/11,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n21463,2016/05/11,I prepare pasta for dinner.,I prepare pasta for dinner.\n21464,2016/05/11,\"I spent 8 talking to Claire, Nevaeh on various topics in the early afternoon.\",\"I spent 8 talking to Claire, Nevaeh on various topics in the early afternoon.\"\n21465,2016/05/11,I spent 17 talking to Claire on various topics in the late afternoon.,I spent 17 talking to Claire on various topics in the late afternoon.\n21466,2016/05/11,I talked to Claire for 37 minutes in the late afternoon.,I talked to Claire for 37 minutes in the late afternoon.\n21467,2016/05/11,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n21468,2016/05/11,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n21469,2016/05/12,I did biking on 2016/05/12.,I did biking on 2016/05/12.\n21470,2016/05/12,I had peanut-butter-jam for breakfast with Claire,I had peanut-butter-jam for breakfast with Claire\n21471,2016/05/12,\"I had lunch with Kayden, Carter. I ate chinese food.\",\"I had lunch with Kayden, Carter. I ate chinese food.\"\n21472,2016/05/12,\"I had dinner with Andrew, Carter, Kayden, Emily. I ate sushi.\",\"I had dinner with Andrew, Carter, Kayden, Emily. I ate sushi.\"\n21473,2016/05/12,\"I talked to Layla, Nevaeh, Nora, Eva for 45 minutes in the early afternoon.\",\"I talked to Layla, Nevaeh, Nora, Eva for 45 minutes in the early afternoon.\"\n21474,2016/05/12,\"I spent 32 talking to Lydia, Layla, Nora, Eva on various topics late in the evening.\",\"I spent 32 talking to Lydia, Layla, Nora, Eva on various topics late in the evening.\"\n21475,2016/05/12,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n21476,2016/05/12,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n21477,2016/05/13,I did HIIT on 2016/05/13.,I did HIIT on 2016/05/13.\n21478,2016/05/13,\"I had breakfast with Andrew, Emily, Carter, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Emily, Carter, Kayden. I ate peanut-butter-jam.\"\n21479,2016/05/13,\"I had lunch with Carter, Kayden. I ate pasta.\",\"I had lunch with Carter, Kayden. I ate pasta.\"\n21480,2016/05/13,\"I had sushi for dinner with Emily, Kayden\",\"I had sushi for dinner with Emily, Kayden\"\n21481,2016/05/13,\"I spent 14 talking to Hazel, Claire, Nora, Avery on various topics in the late afternoon.\",\"I spent 14 talking to Hazel, Claire, Nora, Avery on various topics in the late afternoon.\"\n21482,2016/05/13,\"I spent 37 talking to Rylee, Layla on various topics in the early evening.\",\"I spent 37 talking to Rylee, Layla on various topics in the early evening.\"\n21483,2016/05/13,\"I spent 31 talking to Rylee, Avery on various topics late in the evening.\",\"I spent 31 talking to Rylee, Avery on various topics late in the evening.\"\n21484,2016/05/13,\"I talked to Eva, Kinsley, Rylee, Piper for 42 minutes late in the evening.\",\"I talked to Eva, Kinsley, Rylee, Piper for 42 minutes late in the evening.\"\n21485,2016/05/13,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n21486,2016/05/13,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n21487,2016/05/14,I did swimming on 2016/05/14.,I did swimming on 2016/05/14.\n21488,2016/05/14,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n21489,2016/05/14,\"I had steak for lunch with Kayden, Emily, Carter, Andrew\",\"I had steak for lunch with Kayden, Emily, Carter, Andrew\"\n21490,2016/05/14,I ate sandwich for dinner.,I ate sandwich for dinner.\n21491,2016/05/14,\"I spent 12 talking to Avery, Olivia, Kinsley on various topics during lunch hours.\",\"I spent 12 talking to Avery, Olivia, Kinsley on various topics during lunch hours.\"\n21492,2016/05/14,I talked to Lydia for 19 minutes in the early evening.,I talked to Lydia for 19 minutes in the early evening.\n21493,2016/05/14,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n21494,2016/05/14,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n21495,2016/05/15,I did biking on 2016/05/15.,I did biking on 2016/05/15.\n21496,2016/05/15,I ate cereals for breakfast.,I ate cereals for breakfast.\n21497,2016/05/15,\"I had a burger for lunch with Avery, Lydia, Nora, Eva, Layla, Claire\",\"I had a burger for lunch with Avery, Lydia, Nora, Eva, Layla, Claire\"\n21498,2016/05/15,\"I had dinner with Carter, Kayden. I ate steak.\",\"I had dinner with Carter, Kayden. I ate steak.\"\n21499,2016/05/15,\"I talked to Nevaeh, Eva, Nora, Kinsley for 18 minutes during lunch hours.\",\"I talked to Nevaeh, Eva, Nora, Kinsley for 18 minutes during lunch hours.\"\n21500,2016/05/15,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n21501,2016/05/15,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n21502,2016/05/16,I did running on 2016/05/16.,I did running on 2016/05/16.\n21503,2016/05/16,\"I had breakfast with Nora, Rylee, Nevaeh, Olivia, Lydia, Hazel. I ate oatmeal.\",\"I had breakfast with Nora, Rylee, Nevaeh, Olivia, Lydia, Hazel. I ate oatmeal.\"\n21504,2016/05/16,\"I had a burger for lunch with Benjamin, Willow, Jackson\",\"I had a burger for lunch with Benjamin, Willow, Jackson\"\n21505,2016/05/16,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n21506,2016/05/16,\"I talked to Olivia, Nora, Lydia for 33 minutes in the morning.\",\"I talked to Olivia, Nora, Lydia for 33 minutes in the morning.\"\n21507,2016/05/16,\"I talked to Hazel, Eva, Rylee for 28 minutes late in the evening.\",\"I talked to Hazel, Eva, Rylee for 28 minutes late in the evening.\"\n21508,2016/05/16,I spent 34 talking to Kinsley on various topics during lunch hours.,I spent 34 talking to Kinsley on various topics during lunch hours.\n21509,2016/05/16,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n21510,2016/05/16,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n21511,2016/05/17,I did HIIT on 2016/05/17.,I did HIIT on 2016/05/17.\n21512,2016/05/17,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n21513,2016/05/17,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n21514,2016/05/17,\"I had dinner with Eva, Olivia, Nora, Kinsley, Avery, Layla. I ate a burger.\",\"I had dinner with Eva, Olivia, Nora, Kinsley, Avery, Layla. I ate a burger.\"\n21515,2016/05/17,I spent 43 talking to Piper on various topics in the late afternoon.,I spent 43 talking to Piper on various topics in the late afternoon.\n21516,2016/05/17,I talked to Piper for 24 minutes in the early evening.,I talked to Piper for 24 minutes in the early evening.\n21517,2016/05/17,I spent 6 talking to Piper on various topics in the early afternoon.,I spent 6 talking to Piper on various topics in the early afternoon.\n21518,2016/05/17,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n21519,2016/05/17,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n21520,2016/05/18,\"On 2016/05/18, I took Josiah on a date to a park\",\"On 2016/05/18, I took Josiah on a date to a park\"\n21521,2016/05/18,\"I bought some raspberries, guava juice, sports drinks, toothpaste from the grocery store. I saw Avery, Jackson at the grocery store.\",\"I bought some raspberries, guava juice, sports drinks, toothpaste from the grocery store. I saw Avery, Jackson at the grocery store.\"\n21522,2016/05/18,I did running on 2016/05/18.,I did running on 2016/05/18.\n21523,2016/05/18,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n21524,2016/05/18,I had lunch with Willow. I ate sandwich.,I had lunch with Willow. I ate sandwich.\n21525,2016/05/18,I ate steak for dinner.,I ate steak for dinner.\n21526,2016/05/18,\"I spent 43 talking to Rylee, Lydia, Nevaeh on various topics in the morning.\",\"I spent 43 talking to Rylee, Lydia, Nevaeh on various topics in the morning.\"\n21527,2016/05/18,\"I talked to Eva, Layla, Piper, Hazel for 8 minutes in the early afternoon.\",\"I talked to Eva, Layla, Piper, Hazel for 8 minutes in the early afternoon.\"\n21528,2016/05/18,I talked to Piper for 24 minutes during lunch hours.,I talked to Piper for 24 minutes during lunch hours.\n21529,2016/05/18,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n21530,2016/05/18,I watched a tv series for 51 minutes on TV today.,I watched a tv series for 51 minutes on TV today.\n21531,2016/05/19,I did hiking on 2016/05/19.,I did hiking on 2016/05/19.\n21532,2016/05/19,I ate cereals for breakfast.,I ate cereals for breakfast.\n21533,2016/05/19,I ate sushi for lunch.,I ate sushi for lunch.\n21534,2016/05/19,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n21535,2016/05/19,\"I spent 54 talking to Eva, Olivia on various topics in the late afternoon.\",\"I spent 54 talking to Eva, Olivia on various topics in the late afternoon.\"\n21536,2016/05/19,I spent 15 talking to Lydia on various topics in the early evening.,I spent 15 talking to Lydia on various topics in the early evening.\n21537,2016/05/19,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n21538,2016/05/19,I watched a tv series for 30 minutes on TV today.,I watched a tv series for 30 minutes on TV today.\n21539,2016/05/20,I did running on 2016/05/20.,I did running on 2016/05/20.\n21540,2016/05/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n21541,2016/05/20,I ate sandwich for lunch.,I ate sandwich for lunch.\n21542,2016/05/20,I had dinner with Andrew. I ate pasta.,I had dinner with Andrew. I ate pasta.\n21543,2016/05/20,\"I talked to Nora, Eva, Layla for 27 minutes during lunch hours.\",\"I talked to Nora, Eva, Layla for 27 minutes during lunch hours.\"\n21544,2016/05/20,\"I spent 18 talking to Avery, Kinsley, Nevaeh, Claire on various topics late in the evening.\",\"I spent 18 talking to Avery, Kinsley, Nevaeh, Claire on various topics late in the evening.\"\n21545,2016/05/20,\"I spent 11 talking to Olivia, Nevaeh, Avery on various topics during lunch hours.\",\"I spent 11 talking to Olivia, Nevaeh, Avery on various topics during lunch hours.\"\n21546,2016/05/20,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n21547,2016/05/20,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n21548,2016/05/21,\"I bought some pineapples, clementines, mango juice, pineapple juice, body lotion, mouthwash, shampoo, facial wash from the grocery store. I saw Andrew, Kayden, Emily at the grocery store.\",\"I bought some pineapples, clementines, mango juice, pineapple juice, body lotion, mouthwash, shampoo, facial wash from the grocery store. I saw Andrew, Kayden, Emily at the grocery store.\"\n21549,2016/05/21,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n21550,2016/05/21,I ate chinese food for lunch.,I ate chinese food for lunch.\n21551,2016/05/21,I prepare a burger for dinner.,I prepare a burger for dinner.\n21552,2016/05/21,\"I spent 48 talking to Nevaeh, Rylee on various topics in the early afternoon.\",\"I spent 48 talking to Nevaeh, Rylee on various topics in the early afternoon.\"\n21553,2016/05/21,\"I spent 44 talking to Nora, Rylee on various topics in the late afternoon.\",\"I spent 44 talking to Nora, Rylee on various topics in the late afternoon.\"\n21554,2016/05/21,I spent 36 talking to Rylee on various topics late in the evening.,I spent 36 talking to Rylee on various topics late in the evening.\n21555,2016/05/21,\"I talked to Piper, Layla, Claire, Rylee for 26 minutes in the early evening.\",\"I talked to Piper, Layla, Claire, Rylee for 26 minutes in the early evening.\"\n21556,2016/05/21,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n21557,2016/05/21,I spent 24 minutes watching a movie on TV today.,I spent 24 minutes watching a movie on TV today.\n21558,2016/05/22,I did running on 2016/05/22.,I did running on 2016/05/22.\n21559,2016/05/22,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n21560,2016/05/22,I had lunch. I ate steak.,I had lunch. I ate steak.\n21561,2016/05/22,I ate chinese food for dinner.,I ate chinese food for dinner.\n21562,2016/05/22,\"I talked to Layla, Rylee, Lydia, Hazel for 34 minutes in the morning.\",\"I talked to Layla, Rylee, Lydia, Hazel for 34 minutes in the morning.\"\n21563,2016/05/22,I spent 32 talking to Nora on various topics in the early evening.,I spent 32 talking to Nora on various topics in the early evening.\n21564,2016/05/22,\"I talked to Layla, Nora, Avery for 31 minutes during lunch hours.\",\"I talked to Layla, Nora, Avery for 31 minutes during lunch hours.\"\n21565,2016/05/22,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n21566,2016/05/22,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n21567,2016/05/23,I did weight lifting on 2016/05/23.,I did weight lifting on 2016/05/23.\n21568,2016/05/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n21569,2016/05/23,\"I had fish and chips for lunch with Claire, Lydia, Nevaeh, Avery, Nora\",\"I had fish and chips for lunch with Claire, Lydia, Nevaeh, Avery, Nora\"\n21570,2016/05/23,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n21571,2016/05/23,I talked to Piper for 55 minutes during lunch hours.,I talked to Piper for 55 minutes during lunch hours.\n21572,2016/05/23,\"I spent 53 talking to Kinsley, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 53 talking to Kinsley, Piper, Nevaeh on various topics in the late afternoon.\"\n21573,2016/05/23,\"I spent 7 talking to Olivia, Avery, Piper on various topics during lunch hours.\",\"I spent 7 talking to Olivia, Avery, Piper on various topics during lunch hours.\"\n21574,2016/05/23,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n21575,2016/05/23,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n21576,2016/05/24,\"I went grocery shopping. I bought some clementines, soda, tea, and toothbrush\",\"I went grocery shopping. I bought some clementines, soda, tea, and toothbrush\"\n21577,2016/05/24,I did swimming on 2016/05/24.,I did swimming on 2016/05/24.\n21578,2016/05/24,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n21579,2016/05/24,\"I had lunch with Eva, Olivia, Kinsley, Avery, Hazel. I ate pasta.\",\"I had lunch with Eva, Olivia, Kinsley, Avery, Hazel. I ate pasta.\"\n21580,2016/05/24,I ate pasta for dinner.,I ate pasta for dinner.\n21581,2016/05/24,I talked to Rylee for 35 minutes late in the evening.,I talked to Rylee for 35 minutes late in the evening.\n21582,2016/05/24,\"I talked to Layla, Claire for 40 minutes in the early afternoon.\",\"I talked to Layla, Claire for 40 minutes in the early afternoon.\"\n21583,2016/05/24,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n21584,2016/05/24,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n21585,2016/05/25,I did biking on 2016/05/25.,I did biking on 2016/05/25.\n21586,2016/05/25,\"I had pancakes for breakfast with Kayden, Emily, Andrew, Carter\",\"I had pancakes for breakfast with Kayden, Emily, Andrew, Carter\"\n21587,2016/05/25,\"I had lunch with Emily, Kayden, Andrew, Carter. I ate chinese food.\",\"I had lunch with Emily, Kayden, Andrew, Carter. I ate chinese food.\"\n21588,2016/05/25,I prepare a burger for dinner.,I prepare a burger for dinner.\n21589,2016/05/25,\"I spent 35 talking to Piper, Nevaeh, Eva on various topics in the late afternoon.\",\"I spent 35 talking to Piper, Nevaeh, Eva on various topics in the late afternoon.\"\n21590,2016/05/25,\"I spent 8 talking to Layla, Piper on various topics late in the evening.\",\"I spent 8 talking to Layla, Piper on various topics late in the evening.\"\n21591,2016/05/25,\"I spent 48 talking to Lydia, Rylee, Layla, Nevaeh on various topics in the early evening.\",\"I spent 48 talking to Lydia, Rylee, Layla, Nevaeh on various topics in the early evening.\"\n21592,2016/05/25,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n21593,2016/05/25,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n21594,2016/05/26,\"On 2016/05/26, I took Addison on a date to a boba shop\",\"On 2016/05/26, I took Addison on a date to a boba shop\"\n21595,2016/05/26,I did hiking on 2016/05/26.,I did hiking on 2016/05/26.\n21596,2016/05/26,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n21597,2016/05/26,\"I had indian food for lunch with Nora, Avery, Layla, Hazel, Olivia, Eva, Nevaeh, Lydia, Rylee, Kinsley, Claire, Piper\",\"I had indian food for lunch with Nora, Avery, Layla, Hazel, Olivia, Eva, Nevaeh, Lydia, Rylee, Kinsley, Claire, Piper\"\n21598,2016/05/26,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n21599,2016/05/26,\"I spent 32 talking to Layla, Piper, Lydia, Nevaeh on various topics late in the evening.\",\"I spent 32 talking to Layla, Piper, Lydia, Nevaeh on various topics late in the evening.\"\n21600,2016/05/26,\"I spent 25 talking to Piper, Olivia, Piper, Lydia on various topics in the early evening.\",\"I spent 25 talking to Piper, Olivia, Piper, Lydia on various topics in the early evening.\"\n21601,2016/05/26,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n21602,2016/05/26,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n21603,2016/05/27,I did hiking on 2016/05/27.,I did hiking on 2016/05/27.\n21604,2016/05/27,\"I had oatmeal for breakfast with Emily, Carter, Andrew, Kayden\",\"I had oatmeal for breakfast with Emily, Carter, Andrew, Kayden\"\n21605,2016/05/27,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n21606,2016/05/27,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n21607,2016/05/27,\"I spent 42 talking to Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 42 talking to Nevaeh, Piper on various topics in the early afternoon.\"\n21608,2016/05/27,\"I spent 17 talking to Kinsley, Piper on various topics late in the evening.\",\"I spent 17 talking to Kinsley, Piper on various topics late in the evening.\"\n21609,2016/05/27,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n21610,2016/05/27,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n21611,2016/05/28,\"On 2016/05/28, I took Eleanor on a date to a park\",\"On 2016/05/28, I took Eleanor on a date to a park\"\n21612,2016/05/28,I did biking on 2016/05/28.,I did biking on 2016/05/28.\n21613,2016/05/28,\"I had peanut-butter-jam for breakfast with Avery, Hazel, Piper, Nevaeh, Olivia, Piper, Kinsley, Layla\",\"I had peanut-butter-jam for breakfast with Avery, Hazel, Piper, Nevaeh, Olivia, Piper, Kinsley, Layla\"\n21614,2016/05/28,I had steak for lunch with Andrew,I had steak for lunch with Andrew\n21615,2016/05/28,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n21616,2016/05/28,\"I talked to Claire, Lydia, Hazel, Eva for 51 minutes in the early afternoon.\",\"I talked to Claire, Lydia, Hazel, Eva for 51 minutes in the early afternoon.\"\n21617,2016/05/28,\"I talked to Nora, Hazel, Olivia, Nevaeh for 52 minutes in the early afternoon.\",\"I talked to Nora, Hazel, Olivia, Nevaeh for 52 minutes in the early afternoon.\"\n21618,2016/05/28,\"I talked to Hazel, Piper for 35 minutes in the early evening.\",\"I talked to Hazel, Piper for 35 minutes in the early evening.\"\n21619,2016/05/28,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n21620,2016/05/28,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n21621,2016/05/29,I did hiking on 2016/05/29.,I did hiking on 2016/05/29.\n21622,2016/05/29,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n21623,2016/05/29,I ate a burger for lunch.,I ate a burger for lunch.\n21624,2016/05/29,\"I had indian food for dinner with Benjamin, Jackson\",\"I had indian food for dinner with Benjamin, Jackson\"\n21625,2016/05/29,\"I spent 15 talking to Claire, Eva on various topics in the early afternoon.\",\"I spent 15 talking to Claire, Eva on various topics in the early afternoon.\"\n21626,2016/05/29,\"I talked to Lydia, Nevaeh for 15 minutes in the early afternoon.\",\"I talked to Lydia, Nevaeh for 15 minutes in the early afternoon.\"\n21627,2016/05/29,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n21628,2016/05/29,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n21629,2016/05/30,I spent time gardening on 2016/05/30 with Nora.,I spent time gardening on 2016/05/30 with Nora.\n21630,2016/05/30,I did swimming on 2016/05/30.,I did swimming on 2016/05/30.\n21631,2016/05/30,\"I had oatmeal for breakfast with Kinsley, Piper, Eva\",\"I had oatmeal for breakfast with Kinsley, Piper, Eva\"\n21632,2016/05/30,I ate sushi for lunch.,I ate sushi for lunch.\n21633,2016/05/30,I prepare tacos for dinner.,I prepare tacos for dinner.\n21634,2016/05/30,\"I spent 23 talking to Claire, Eva on various topics during lunch hours.\",\"I spent 23 talking to Claire, Eva on various topics during lunch hours.\"\n21635,2016/05/30,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n21636,2016/05/30,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n21637,2016/05/31,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n21638,2016/05/31,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n21639,2016/05/31,\"I had dinner with Avery, Willow, Benjamin, Jackson. I ate pasta.\",\"I had dinner with Avery, Willow, Benjamin, Jackson. I ate pasta.\"\n21640,2016/05/31,\"I talked to Claire, Eva, Avery for 13 minutes during lunch hours.\",\"I talked to Claire, Eva, Avery for 13 minutes during lunch hours.\"\n21641,2016/05/31,\"I spent 7 talking to Piper, Eva on various topics in the late afternoon.\",\"I spent 7 talking to Piper, Eva on various topics in the late afternoon.\"\n21642,2016/05/31,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n21643,2016/05/31,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n21644,2016/06/01,\"I went grocery shopping. I bought some mangos, blackberries, bananas, chocolate milk, apple juice, and facial wash\",\"I went grocery shopping. I bought some mangos, blackberries, bananas, chocolate milk, apple juice, and facial wash\"\n21645,2016/06/01,I did swimming on 2016/06/01.,I did swimming on 2016/06/01.\n21646,2016/06/01,\"I had breakfast with Emily, Andrew. I ate oatmeal.\",\"I had breakfast with Emily, Andrew. I ate oatmeal.\"\n21647,2016/06/01,I ate steak for lunch.,I ate steak for lunch.\n21648,2016/06/01,\"I had dinner with Piper, Layla, Kinsley, Hazel, Avery, Nora, Rylee. I ate sushi.\",\"I had dinner with Piper, Layla, Kinsley, Hazel, Avery, Nora, Rylee. I ate sushi.\"\n21649,2016/06/01,\"I spent 15 talking to Claire, Olivia on various topics in the late afternoon.\",\"I spent 15 talking to Claire, Olivia on various topics in the late afternoon.\"\n21650,2016/06/01,\"I spent 22 talking to Claire, Olivia on various topics during lunch hours.\",\"I spent 22 talking to Claire, Olivia on various topics during lunch hours.\"\n21651,2016/06/01,\"I spent 16 talking to Hazel, Eva, Kinsley on various topics late in the evening.\",\"I spent 16 talking to Hazel, Eva, Kinsley on various topics late in the evening.\"\n21652,2016/06/01,\"I spent 9 talking to Piper, Rylee on various topics in the early evening.\",\"I spent 9 talking to Piper, Rylee on various topics in the early evening.\"\n21653,2016/06/01,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n21654,2016/06/01,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n21655,2016/06/02,\"I had eggs, sausages, and bread for breakfast with Emily, Kayden\",\"I had eggs, sausages, and bread for breakfast with Emily, Kayden\"\n21656,2016/06/02,I had indian food for lunch with Carter,I had indian food for lunch with Carter\n21657,2016/06/02,\"I had dinner with Carter, Andrew. I ate steak.\",\"I had dinner with Carter, Andrew. I ate steak.\"\n21658,2016/06/02,I spent 11 talking to Claire on various topics in the early afternoon.,I spent 11 talking to Claire on various topics in the early afternoon.\n21659,2016/06/02,\"I talked to Eva, Kinsley for 13 minutes during lunch hours.\",\"I talked to Eva, Kinsley for 13 minutes during lunch hours.\"\n21660,2016/06/02,\"I spent 36 talking to Nevaeh, Claire, Kinsley on various topics in the late afternoon.\",\"I spent 36 talking to Nevaeh, Claire, Kinsley on various topics in the late afternoon.\"\n21661,2016/06/02,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n21662,2016/06/02,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n21663,2016/06/03,I did biking on 2016/06/03.,I did biking on 2016/06/03.\n21664,2016/06/03,\"I had oatmeal for breakfast with Emily, Kayden, Carter, Andrew\",\"I had oatmeal for breakfast with Emily, Kayden, Carter, Andrew\"\n21665,2016/06/03,I had lunch. I ate steak.,I had lunch. I ate steak.\n21666,2016/06/03,\"I had dinner with Carter, Kayden, Andrew. I ate pasta.\",\"I had dinner with Carter, Kayden, Andrew. I ate pasta.\"\n21667,2016/06/03,\"I talked to Piper, Layla, Hazel for 53 minutes during lunch hours.\",\"I talked to Piper, Layla, Hazel for 53 minutes during lunch hours.\"\n21668,2016/06/03,\"I spent 46 talking to Olivia, Eva, Claire, Rylee on various topics in the early afternoon.\",\"I spent 46 talking to Olivia, Eva, Claire, Rylee on various topics in the early afternoon.\"\n21669,2016/06/03,I talked to Nora for 54 minutes in the morning.,I talked to Nora for 54 minutes in the morning.\n21670,2016/06/03,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n21671,2016/06/03,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n21672,2016/06/04,\"I bought some mandarins, clementines, orange juice, chocolate milk, guava juice, sports drinks, facial wash, toothbrush online.\",\"I bought some mandarins, clementines, orange juice, chocolate milk, guava juice, sports drinks, facial wash, toothbrush online.\"\n21673,2016/06/04,I did weight lifting on 2016/06/04.,I did weight lifting on 2016/06/04.\n21674,2016/06/04,\"I had toast and cheese for breakfast with Piper, Olivia, Layla, Piper, Rylee, Avery, Nora, Eva, Kinsley, Lydia, Claire, Nevaeh\",\"I had toast and cheese for breakfast with Piper, Olivia, Layla, Piper, Rylee, Avery, Nora, Eva, Kinsley, Lydia, Claire, Nevaeh\"\n21675,2016/06/04,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n21676,2016/06/04,I ate a burger for dinner.,I ate a burger for dinner.\n21677,2016/06/04,I spent 13 talking to Nora on various topics late in the evening.,I spent 13 talking to Nora on various topics late in the evening.\n21678,2016/06/04,\"I talked to Avery, Claire, Eva, Lydia for 7 minutes in the early evening.\",\"I talked to Avery, Claire, Eva, Lydia for 7 minutes in the early evening.\"\n21679,2016/06/04,I talked to Eva for 10 minutes in the morning.,I talked to Eva for 10 minutes in the morning.\n21680,2016/06/04,\"I spent 27 talking to Layla, Rylee, Nora on various topics in the morning.\",\"I spent 27 talking to Layla, Rylee, Nora on various topics in the morning.\"\n21681,2016/06/04,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n21682,2016/06/04,I watched news for 5 minutes on TV today.,I watched news for 5 minutes on TV today.\n21683,2016/06/05,I did hiking on 2016/06/05.,I did hiking on 2016/06/05.\n21684,2016/06/05,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n21685,2016/06/05,\"I had tacos for lunch with Rylee, Avery, Hazel, Piper, Claire, Layla, Piper, Kinsley, Nevaeh, Olivia, Nora, Lydia, Eva\",\"I had tacos for lunch with Rylee, Avery, Hazel, Piper, Claire, Layla, Piper, Kinsley, Nevaeh, Olivia, Nora, Lydia, Eva\"\n21686,2016/06/05,I had dinner with Andrew. I ate sushi.,I had dinner with Andrew. I ate sushi.\n21687,2016/06/05,\"I spent 40 talking to Kinsley, Eva, Lydia on various topics in the late afternoon.\",\"I spent 40 talking to Kinsley, Eva, Lydia on various topics in the late afternoon.\"\n21688,2016/06/05,\"I talked to Nevaeh, Kinsley, Layla, Lydia for 42 minutes in the early evening.\",\"I talked to Nevaeh, Kinsley, Layla, Lydia for 42 minutes in the early evening.\"\n21689,2016/06/05,\"I talked to Piper, Lydia, Claire, Layla for 35 minutes in the late afternoon.\",\"I talked to Piper, Lydia, Claire, Layla for 35 minutes in the late afternoon.\"\n21690,2016/06/05,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n21691,2016/06/05,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n21692,2016/06/06,I did biking on 2016/06/06.,I did biking on 2016/06/06.\n21693,2016/06/06,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n21694,2016/06/06,I prepare indian food for lunch.,I prepare indian food for lunch.\n21695,2016/06/06,I prepare pasta for dinner.,I prepare pasta for dinner.\n21696,2016/06/06,I talked to Hazel for 53 minutes in the late afternoon.,I talked to Hazel for 53 minutes in the late afternoon.\n21697,2016/06/06,\"I spent 29 talking to Kinsley, Hazel on various topics in the late afternoon.\",\"I spent 29 talking to Kinsley, Hazel on various topics in the late afternoon.\"\n21698,2016/06/06,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n21699,2016/06/06,I spent 17 minutes watching a tv series on TV today.,I spent 17 minutes watching a tv series on TV today.\n21700,2016/06/07,\"I was cooking beef and broccoli on 2016/06/07 with Andrew, Kayden at my place\",\"I was cooking beef and broccoli on 2016/06/07 with Andrew, Kayden at my place\"\n21701,2016/06/07,I went on a date with Sarah on 2016/06/07 at a coffee Shop,I went on a date with Sarah on 2016/06/07 at a coffee Shop\n21702,2016/06/07,I did swimming on 2016/06/07.,I did swimming on 2016/06/07.\n21703,2016/06/07,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n21704,2016/06/07,I ate indian food for lunch.,I ate indian food for lunch.\n21705,2016/06/07,\"I had a burger for dinner with Carter, Emily, Kayden, Andrew\",\"I had a burger for dinner with Carter, Emily, Kayden, Andrew\"\n21706,2016/06/07,I spent 40 talking to Nora on various topics in the early afternoon.,I spent 40 talking to Nora on various topics in the early afternoon.\n21707,2016/06/07,I talked to Claire for 21 minutes in the early afternoon.,I talked to Claire for 21 minutes in the early afternoon.\n21708,2016/06/07,\"I spent 46 talking to Layla, Nora on various topics during lunch hours.\",\"I spent 46 talking to Layla, Nora on various topics during lunch hours.\"\n21709,2016/06/07,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n21710,2016/06/07,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n21711,2016/06/08,I did swimming on 2016/06/08.,I did swimming on 2016/06/08.\n21712,2016/06/08,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n21713,2016/06/08,I ate steak for lunch.,I ate steak for lunch.\n21714,2016/06/08,I ate sandwich for dinner.,I ate sandwich for dinner.\n21715,2016/06/08,I talked to Nora for 27 minutes in the morning.,I talked to Nora for 27 minutes in the morning.\n21716,2016/06/08,\"I talked to Hazel, Nevaeh, Rylee for 37 minutes late in the evening.\",\"I talked to Hazel, Nevaeh, Rylee for 37 minutes late in the evening.\"\n21717,2016/06/08,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n21718,2016/06/08,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n21719,2016/06/09,\"I bought some clementines, apples, orange juice, milk, chocolate milk, facial wash, mouth wash, toothpaste from the grocery store. I saw Emily at the grocery store.\",\"I bought some clementines, apples, orange juice, milk, chocolate milk, facial wash, mouth wash, toothpaste from the grocery store. I saw Emily at the grocery store.\"\n21720,2016/06/09,I did HIIT on 2016/06/09.,I did HIIT on 2016/06/09.\n21721,2016/06/09,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n21722,2016/06/09,I ate a burger for lunch.,I ate a burger for lunch.\n21723,2016/06/09,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n21724,2016/06/09,\"I talked to Hazel, Layla, Lydia, Piper for 43 minutes in the early afternoon.\",\"I talked to Hazel, Layla, Lydia, Piper for 43 minutes in the early afternoon.\"\n21725,2016/06/09,\"I spent 44 talking to Rylee, Eva, Piper on various topics late in the evening.\",\"I spent 44 talking to Rylee, Eva, Piper on various topics late in the evening.\"\n21726,2016/06/09,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n21727,2016/06/09,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n21728,2016/06/10,\"I went grocery shopping with Piper. I bought some pineapples, blackberries, strawberries, guava, pineapple juice, tea, mango juice, and toothbrush, toilet paper\",\"I went grocery shopping with Piper. I bought some pineapples, blackberries, strawberries, guava, pineapple juice, tea, mango juice, and toothbrush, toilet paper\"\n21729,2016/06/10,I did weight lifting on 2016/06/10.,I did weight lifting on 2016/06/10.\n21730,2016/06/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n21731,2016/06/10,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n21732,2016/06/10,\"I had steak for dinner with Carter, Andrew, Kayden, Emily\",\"I had steak for dinner with Carter, Andrew, Kayden, Emily\"\n21733,2016/06/10,I spent 10 talking to Hazel on various topics in the late afternoon.,I spent 10 talking to Hazel on various topics in the late afternoon.\n21734,2016/06/10,\"I spent 13 talking to Layla, Nevaeh on various topics late in the evening.\",\"I spent 13 talking to Layla, Nevaeh on various topics late in the evening.\"\n21735,2016/06/10,I talked to Olivia for 35 minutes late in the evening.,I talked to Olivia for 35 minutes late in the evening.\n21736,2016/06/10,\"I spent 11 talking to Avery, Eva, Olivia, Nora on various topics in the early afternoon.\",\"I spent 11 talking to Avery, Eva, Olivia, Nora on various topics in the early afternoon.\"\n21737,2016/06/10,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n21738,2016/06/10,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n21739,2016/06/11,I did running on 2016/06/11.,I did running on 2016/06/11.\n21740,2016/06/11,\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate toast and cheese.\",\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate toast and cheese.\"\n21741,2016/06/11,\"I had lunch with Nora, Lydia, Hazel, Claire, Layla, Eva, Piper, Nevaeh, Kinsley, Olivia, Avery. I ate chinese food.\",\"I had lunch with Nora, Lydia, Hazel, Claire, Layla, Eva, Piper, Nevaeh, Kinsley, Olivia, Avery. I ate chinese food.\"\n21742,2016/06/11,\"I had sushi for dinner with Kayden, Andrew\",\"I had sushi for dinner with Kayden, Andrew\"\n21743,2016/06/11,\"I talked to Rylee, Nevaeh, Olivia for 47 minutes during lunch hours.\",\"I talked to Rylee, Nevaeh, Olivia for 47 minutes during lunch hours.\"\n21744,2016/06/11,I talked to Rylee for 21 minutes in the late afternoon.,I talked to Rylee for 21 minutes in the late afternoon.\n21745,2016/06/11,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n21746,2016/06/11,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n21747,2016/06/12,I did biking on 2016/06/12.,I did biking on 2016/06/12.\n21748,2016/06/12,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n21749,2016/06/12,I ate steak for lunch.,I ate steak for lunch.\n21750,2016/06/12,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n21751,2016/06/12,I spent 35 talking to Eva on various topics in the morning.,I spent 35 talking to Eva on various topics in the morning.\n21752,2016/06/12,I spent 53 talking to Claire on various topics late in the evening.,I spent 53 talking to Claire on various topics late in the evening.\n21753,2016/06/12,\"I spent 40 talking to Layla, Piper, Kinsley on various topics in the early evening.\",\"I spent 40 talking to Layla, Piper, Kinsley on various topics in the early evening.\"\n21754,2016/06/12,\"I spent 15 talking to Piper, Hazel on various topics in the early afternoon.\",\"I spent 15 talking to Piper, Hazel on various topics in the early afternoon.\"\n21755,2016/06/12,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n21756,2016/06/12,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n21757,2016/06/13,I did swimming on 2016/06/13.,I did swimming on 2016/06/13.\n21758,2016/06/13,\"I had peanut-butter-jam for breakfast with Emily, Carter, Andrew\",\"I had peanut-butter-jam for breakfast with Emily, Carter, Andrew\"\n21759,2016/06/13,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n21760,2016/06/13,\"I had indian food for dinner with Avery, Willow\",\"I had indian food for dinner with Avery, Willow\"\n21761,2016/06/13,\"I talked to Layla, Nora, Eva, Rylee for 48 minutes in the late afternoon.\",\"I talked to Layla, Nora, Eva, Rylee for 48 minutes in the late afternoon.\"\n21762,2016/06/13,\"I talked to Piper, Olivia for 30 minutes in the late afternoon.\",\"I talked to Piper, Olivia for 30 minutes in the late afternoon.\"\n21763,2016/06/13,\"I talked to Eva, Kinsley, Nevaeh for 18 minutes in the late afternoon.\",\"I talked to Eva, Kinsley, Nevaeh for 18 minutes in the late afternoon.\"\n21764,2016/06/13,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n21765,2016/06/13,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n21766,2016/06/14,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n21767,2016/06/14,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n21768,2016/06/14,I had dinner with Carter. I ate sandwich.,I had dinner with Carter. I ate sandwich.\n21769,2016/06/14,\"I talked to Piper, Kinsley, Rylee, Lydia for 20 minutes in the morning.\",\"I talked to Piper, Kinsley, Rylee, Lydia for 20 minutes in the morning.\"\n21770,2016/06/14,\"I talked to Piper, Olivia, Nevaeh, Piper for 36 minutes in the early evening.\",\"I talked to Piper, Olivia, Nevaeh, Piper for 36 minutes in the early evening.\"\n21771,2016/06/14,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n21772,2016/06/14,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n21773,2016/06/15,\"I went grocery shopping. I bought some mangos, mandarins, apricots, pineapples, soda, apple juice, tea, mango juice, and toothpaste, toothbrush\",\"I went grocery shopping. I bought some mangos, mandarins, apricots, pineapples, soda, apple juice, tea, mango juice, and toothpaste, toothbrush\"\n21774,2016/06/15,I did weight lifting on 2016/06/15.,I did weight lifting on 2016/06/15.\n21775,2016/06/15,\"I had breakfast with Andrew, Kayden, Emily. I ate oatmeal.\",\"I had breakfast with Andrew, Kayden, Emily. I ate oatmeal.\"\n21776,2016/06/15,\"I had lunch with Avery, Jackson, Benjamin, Willow. I ate chinese food.\",\"I had lunch with Avery, Jackson, Benjamin, Willow. I ate chinese food.\"\n21777,2016/06/15,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n21778,2016/06/15,\"I talked to Nora, Lydia for 51 minutes in the morning.\",\"I talked to Nora, Lydia for 51 minutes in the morning.\"\n21779,2016/06/15,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n21780,2016/06/15,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n21781,2016/06/16,I did running on 2016/06/16.,I did running on 2016/06/16.\n21782,2016/06/16,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n21783,2016/06/16,I ate sushi for lunch.,I ate sushi for lunch.\n21784,2016/06/16,I ate sandwich for dinner.,I ate sandwich for dinner.\n21785,2016/06/16,I talked to Eva for 51 minutes in the late afternoon.,I talked to Eva for 51 minutes in the late afternoon.\n21786,2016/06/16,I spent 32 talking to Lydia on various topics in the morning.,I spent 32 talking to Lydia on various topics in the morning.\n21787,2016/06/16,I talked to Avery for 40 minutes in the early afternoon.,I talked to Avery for 40 minutes in the early afternoon.\n21788,2016/06/16,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n21789,2016/06/16,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n21790,2016/06/17,I really enjoyed gardening on 2016/06/17,I really enjoyed gardening on 2016/06/17\n21791,2016/06/17,I did running on 2016/06/17.,I did running on 2016/06/17.\n21792,2016/06/17,\"I had breakfast with Kayden, Emily, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Emily, Andrew. I ate peanut-butter-jam.\"\n21793,2016/06/17,I prepare tacos for lunch.,I prepare tacos for lunch.\n21794,2016/06/17,I ate pasta for dinner.,I ate pasta for dinner.\n21795,2016/06/17,\"I talked to Kinsley, Nevaeh, Nora for 18 minutes in the late afternoon.\",\"I talked to Kinsley, Nevaeh, Nora for 18 minutes in the late afternoon.\"\n21796,2016/06/17,\"I talked to Kinsley, Avery for 44 minutes in the early afternoon.\",\"I talked to Kinsley, Avery for 44 minutes in the early afternoon.\"\n21797,2016/06/17,\"I spent 47 talking to Piper, Kinsley, Claire, Rylee on various topics in the morning.\",\"I spent 47 talking to Piper, Kinsley, Claire, Rylee on various topics in the morning.\"\n21798,2016/06/17,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n21799,2016/06/17,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n21800,2016/06/18,\"I was cooking macaroni and cheese on 2016/06/18 with Avery, Jackson, Benjamin, Willow at my place\",\"I was cooking macaroni and cheese on 2016/06/18 with Avery, Jackson, Benjamin, Willow at my place\"\n21801,2016/06/18,I did weight lifting on 2016/06/18.,I did weight lifting on 2016/06/18.\n21802,2016/06/18,\"I had toast and cheese for breakfast with Piper, Lydia, Avery, Claire, Piper, Kinsley\",\"I had toast and cheese for breakfast with Piper, Lydia, Avery, Claire, Piper, Kinsley\"\n21803,2016/06/18,I had lunch. I ate steak.,I had lunch. I ate steak.\n21804,2016/06/18,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n21805,2016/06/18,\"I spent 9 talking to Claire, Piper, Nevaeh, Avery on various topics in the early afternoon.\",\"I spent 9 talking to Claire, Piper, Nevaeh, Avery on various topics in the early afternoon.\"\n21806,2016/06/18,\"I spent 31 talking to Nora, Rylee, Claire on various topics in the early evening.\",\"I spent 31 talking to Nora, Rylee, Claire on various topics in the early evening.\"\n21807,2016/06/18,\"I spent 10 talking to Kinsley, Piper, Layla on various topics in the early afternoon.\",\"I spent 10 talking to Kinsley, Piper, Layla on various topics in the early afternoon.\"\n21808,2016/06/18,\"I spent 15 talking to Kinsley, Nora, Claire on various topics in the early evening.\",\"I spent 15 talking to Kinsley, Nora, Claire on various topics in the early evening.\"\n21809,2016/06/18,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n21810,2016/06/18,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n21811,2016/06/19,I did hiking on 2016/06/19.,I did hiking on 2016/06/19.\n21812,2016/06/19,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n21813,2016/06/19,I ate chinese food for lunch.,I ate chinese food for lunch.\n21814,2016/06/19,I ate steak for dinner.,I ate steak for dinner.\n21815,2016/06/19,\"I spent 10 talking to Hazel, Kinsley on various topics in the early afternoon.\",\"I spent 10 talking to Hazel, Kinsley on various topics in the early afternoon.\"\n21816,2016/06/19,\"I spent 18 talking to Kinsley, Hazel, Piper, Avery on various topics during lunch hours.\",\"I spent 18 talking to Kinsley, Hazel, Piper, Avery on various topics during lunch hours.\"\n21817,2016/06/19,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n21818,2016/06/19,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n21819,2016/06/20,I had breakfast with Carter. I ate toast and cheese.,I had breakfast with Carter. I ate toast and cheese.\n21820,2016/06/20,\"I had lunch with Eva, Nevaeh. I ate chinese food.\",\"I had lunch with Eva, Nevaeh. I ate chinese food.\"\n21821,2016/06/20,\"I had dinner with Kayden, Emily, Andrew, Carter. I ate indian food.\",\"I had dinner with Kayden, Emily, Andrew, Carter. I ate indian food.\"\n21822,2016/06/20,I talked to Piper for 32 minutes late in the evening.,I talked to Piper for 32 minutes late in the evening.\n21823,2016/06/20,\"I spent 30 talking to Avery, Lydia on various topics late in the evening.\",\"I spent 30 talking to Avery, Lydia on various topics late in the evening.\"\n21824,2016/06/20,\"I spent 11 talking to Olivia, Layla, Piper, Eva on various topics in the early afternoon.\",\"I spent 11 talking to Olivia, Layla, Piper, Eva on various topics in the early afternoon.\"\n21825,2016/06/20,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n21826,2016/06/20,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n21827,2016/06/21,\"I had breakfast with Carter, Kayden. I ate toast and cheese.\",\"I had breakfast with Carter, Kayden. I ate toast and cheese.\"\n21828,2016/06/21,\"I had fish and chips for lunch with Emily, Kayden, Carter, Andrew\",\"I had fish and chips for lunch with Emily, Kayden, Carter, Andrew\"\n21829,2016/06/21,I ate steak for dinner.,I ate steak for dinner.\n21830,2016/06/21,\"I talked to Hazel, Nevaeh, Eva, Lydia for 38 minutes in the morning.\",\"I talked to Hazel, Nevaeh, Eva, Lydia for 38 minutes in the morning.\"\n21831,2016/06/21,\"I talked to Layla, Kinsley for 31 minutes during lunch hours.\",\"I talked to Layla, Kinsley for 31 minutes during lunch hours.\"\n21832,2016/06/21,\"I spent 47 talking to Piper, Kinsley, Olivia on various topics in the early evening.\",\"I spent 47 talking to Piper, Kinsley, Olivia on various topics in the early evening.\"\n21833,2016/06/21,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n21834,2016/06/21,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n21835,2016/06/22,I went on a date with Josephine on 2016/06/22 at a park,I went on a date with Josephine on 2016/06/22 at a park\n21836,2016/06/22,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n21837,2016/06/22,\"I had lunch with Kinsley, Hazel, Nevaeh. I ate fish and chips.\",\"I had lunch with Kinsley, Hazel, Nevaeh. I ate fish and chips.\"\n21838,2016/06/22,I prepare indian food for dinner.,I prepare indian food for dinner.\n21839,2016/06/22,I spent 34 talking to Piper on various topics late in the evening.,I spent 34 talking to Piper on various topics late in the evening.\n21840,2016/06/22,\"I talked to Avery, Olivia for 6 minutes late in the evening.\",\"I talked to Avery, Olivia for 6 minutes late in the evening.\"\n21841,2016/06/22,\"I spent 5 talking to Layla, Piper, Piper, Nora on various topics during lunch hours.\",\"I spent 5 talking to Layla, Piper, Piper, Nora on various topics during lunch hours.\"\n21842,2016/06/22,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n21843,2016/06/22,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n21844,2016/06/23,\"I went grocery shopping. I bought some cherres, apples, chocolate milk, guava juice, soda, pineapple juice, and shampoo\",\"I went grocery shopping. I bought some cherres, apples, chocolate milk, guava juice, soda, pineapple juice, and shampoo\"\n21845,2016/06/23,I did running on 2016/06/23.,I did running on 2016/06/23.\n21846,2016/06/23,I ate cereals for breakfast.,I ate cereals for breakfast.\n21847,2016/06/23,I had lunch. I ate steak.,I had lunch. I ate steak.\n21848,2016/06/23,I prepare sushi for dinner.,I prepare sushi for dinner.\n21849,2016/06/23,\"I spent 50 talking to Piper, Hazel, Piper, Eva on various topics late in the evening.\",\"I spent 50 talking to Piper, Hazel, Piper, Eva on various topics late in the evening.\"\n21850,2016/06/23,\"I spent 11 talking to Nora, Piper, Eva, Piper on various topics during lunch hours.\",\"I spent 11 talking to Nora, Piper, Eva, Piper on various topics during lunch hours.\"\n21851,2016/06/23,\"I talked to Hazel, Layla, Nora, Rylee for 30 minutes late in the evening.\",\"I talked to Hazel, Layla, Nora, Rylee for 30 minutes late in the evening.\"\n21852,2016/06/23,\"I spent 29 talking to Kinsley, Piper, Olivia, Layla on various topics late in the evening.\",\"I spent 29 talking to Kinsley, Piper, Olivia, Layla on various topics late in the evening.\"\n21853,2016/06/23,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n21854,2016/06/23,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n21855,2016/06/24,I did swimming on 2016/06/24.,I did swimming on 2016/06/24.\n21856,2016/06/24,I had breakfast with Kayden. I ate oatmeal.,I had breakfast with Kayden. I ate oatmeal.\n21857,2016/06/24,I ate tacos for lunch.,I ate tacos for lunch.\n21858,2016/06/24,I prepare steak for dinner.,I prepare steak for dinner.\n21859,2016/06/24,\"I spent 30 talking to Avery, Kinsley, Olivia on various topics in the morning.\",\"I spent 30 talking to Avery, Kinsley, Olivia on various topics in the morning.\"\n21860,2016/06/24,\"I spent 46 talking to Nevaeh, Avery, Nora, Rylee on various topics late in the evening.\",\"I spent 46 talking to Nevaeh, Avery, Nora, Rylee on various topics late in the evening.\"\n21861,2016/06/24,\"I talked to Piper, Claire for 44 minutes in the morning.\",\"I talked to Piper, Claire for 44 minutes in the morning.\"\n21862,2016/06/24,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n21863,2016/06/24,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n21864,2016/06/25,I did hiking on 2016/06/25.,I did hiking on 2016/06/25.\n21865,2016/06/25,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n21866,2016/06/25,\"I had lunch with Nevaeh, Piper, Claire, Lydia, Olivia, Kinsley, Hazel, Piper, Avery. I ate chinese food.\",\"I had lunch with Nevaeh, Piper, Claire, Lydia, Olivia, Kinsley, Hazel, Piper, Avery. I ate chinese food.\"\n21867,2016/06/25,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n21868,2016/06/25,\"I talked to Olivia, Eva, Claire, Piper for 30 minutes during lunch hours.\",\"I talked to Olivia, Eva, Claire, Piper for 30 minutes during lunch hours.\"\n21869,2016/06/25,\"I talked to Eva, Claire, Piper, Rylee for 47 minutes during lunch hours.\",\"I talked to Eva, Claire, Piper, Rylee for 47 minutes during lunch hours.\"\n21870,2016/06/25,I spent 20 talking to Rylee on various topics in the morning.,I spent 20 talking to Rylee on various topics in the morning.\n21871,2016/06/25,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n21872,2016/06/25,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n21873,2016/06/26,I did running on 2016/06/26.,I did running on 2016/06/26.\n21874,2016/06/26,\"I had breakfast with Kayden, Carter, Emily. I ate pancakes.\",\"I had breakfast with Kayden, Carter, Emily. I ate pancakes.\"\n21875,2016/06/26,I ate sushi for lunch.,I ate sushi for lunch.\n21876,2016/06/26,\"I had chinese food for dinner with Lydia, Avery, Kinsley\",\"I had chinese food for dinner with Lydia, Avery, Kinsley\"\n21877,2016/06/26,I spent 38 talking to Hazel on various topics in the early evening.,I spent 38 talking to Hazel on various topics in the early evening.\n21878,2016/06/26,\"I spent 38 talking to Claire, Lydia, Nevaeh, Eva on various topics late in the evening.\",\"I spent 38 talking to Claire, Lydia, Nevaeh, Eva on various topics late in the evening.\"\n21879,2016/06/26,\"I talked to Layla, Piper, Hazel for 42 minutes in the late afternoon.\",\"I talked to Layla, Piper, Hazel for 42 minutes in the late afternoon.\"\n21880,2016/06/26,\"I spent 8 talking to Hazel, Kinsley on various topics in the early evening.\",\"I spent 8 talking to Hazel, Kinsley on various topics in the early evening.\"\n21881,2016/06/26,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n21882,2016/06/26,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n21883,2016/06/27,I did swimming on 2016/06/27.,I did swimming on 2016/06/27.\n21884,2016/06/27,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n21885,2016/06/27,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n21886,2016/06/27,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n21887,2016/06/27,\"I spent 41 talking to Claire, Olivia, Kinsley, Avery on various topics during lunch hours.\",\"I spent 41 talking to Claire, Olivia, Kinsley, Avery on various topics during lunch hours.\"\n21888,2016/06/27,\"I spent 35 talking to Claire, Piper, Hazel on various topics in the early evening.\",\"I spent 35 talking to Claire, Piper, Hazel on various topics in the early evening.\"\n21889,2016/06/27,I spent 34 talking to Kinsley on various topics late in the evening.,I spent 34 talking to Kinsley on various topics late in the evening.\n21890,2016/06/27,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n21891,2016/06/27,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n21892,2016/06/28,I did swimming on 2016/06/28.,I did swimming on 2016/06/28.\n21893,2016/06/28,\"I had oatmeal for breakfast with Kayden, Emily, Carter\",\"I had oatmeal for breakfast with Kayden, Emily, Carter\"\n21894,2016/06/28,I prepare tacos for lunch.,I prepare tacos for lunch.\n21895,2016/06/28,I ate a burger for dinner.,I ate a burger for dinner.\n21896,2016/06/28,\"I talked to Layla, Olivia for 53 minutes during lunch hours.\",\"I talked to Layla, Olivia for 53 minutes during lunch hours.\"\n21897,2016/06/28,\"I spent 37 talking to Nora, Piper on various topics in the early afternoon.\",\"I spent 37 talking to Nora, Piper on various topics in the early afternoon.\"\n21898,2016/06/28,\"I spent 5 talking to Olivia, Nora, Piper, Lydia on various topics in the late afternoon.\",\"I spent 5 talking to Olivia, Nora, Piper, Lydia on various topics in the late afternoon.\"\n21899,2016/06/28,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n21900,2016/06/28,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n21901,2016/06/29,\"I bought some pears, mandarins, mineral water, sports drinks, shampoo, mouthwash from the grocery store. I saw Willow, Jackson at the grocery store.\",\"I bought some pears, mandarins, mineral water, sports drinks, shampoo, mouthwash from the grocery store. I saw Willow, Jackson at the grocery store.\"\n21902,2016/06/29,I did biking on 2016/06/29.,I did biking on 2016/06/29.\n21903,2016/06/29,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n21904,2016/06/29,I had indian food for lunch with Eva,I had indian food for lunch with Eva\n21905,2016/06/29,I ate sushi for dinner.,I ate sushi for dinner.\n21906,2016/06/29,\"I talked to Lydia, Nevaeh, Nora, Piper for 25 minutes during lunch hours.\",\"I talked to Lydia, Nevaeh, Nora, Piper for 25 minutes during lunch hours.\"\n21907,2016/06/29,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n21908,2016/06/29,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n21909,2016/06/30,I did swimming on 2016/06/30.,I did swimming on 2016/06/30.\n21910,2016/06/30,\"I had breakfast with Eva, Nora, Claire, Hazel, Lydia, Piper, Avery, Olivia, Rylee, Kinsley, Piper, Layla. I ate peanut-butter-jam.\",\"I had breakfast with Eva, Nora, Claire, Hazel, Lydia, Piper, Avery, Olivia, Rylee, Kinsley, Piper, Layla. I ate peanut-butter-jam.\"\n21911,2016/06/30,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n21912,2016/06/30,I ate sushi for dinner.,I ate sushi for dinner.\n21913,2016/06/30,\"I spent 36 talking to Olivia, Lydia on various topics in the early afternoon.\",\"I spent 36 talking to Olivia, Lydia on various topics in the early afternoon.\"\n21914,2016/06/30,\"I spent 24 talking to Kinsley, Rylee on various topics late in the evening.\",\"I spent 24 talking to Kinsley, Rylee on various topics late in the evening.\"\n21915,2016/06/30,\"I spent 46 talking to Kinsley, Claire, Nevaeh on various topics in the early evening.\",\"I spent 46 talking to Kinsley, Claire, Nevaeh on various topics in the early evening.\"\n21916,2016/06/30,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n21917,2016/06/30,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n21918,2016/07/01,\"I bought some mangos, apple juice, sports drinks, orange juice, coffee, shaving cream, facial wash, mouth wash, body lotion online.\",\"I bought some mangos, apple juice, sports drinks, orange juice, coffee, shaving cream, facial wash, mouth wash, body lotion online.\"\n21919,2016/07/01,I did swimming on 2016/07/01.,I did swimming on 2016/07/01.\n21920,2016/07/01,I ate cereals for breakfast.,I ate cereals for breakfast.\n21921,2016/07/01,\"I had tacos for lunch with Benjamin, Avery, Jackson, Willow\",\"I had tacos for lunch with Benjamin, Avery, Jackson, Willow\"\n21922,2016/07/01,I ate indian food for dinner.,I ate indian food for dinner.\n21923,2016/07/01,I talked to Avery for 31 minutes in the early afternoon.,I talked to Avery for 31 minutes in the early afternoon.\n21924,2016/07/01,\"I spent 35 talking to Layla, Rylee, Lydia on various topics during lunch hours.\",\"I spent 35 talking to Layla, Rylee, Lydia on various topics during lunch hours.\"\n21925,2016/07/01,\"I spent 43 talking to Piper, Avery, Lydia on various topics in the early evening.\",\"I spent 43 talking to Piper, Avery, Lydia on various topics in the early evening.\"\n21926,2016/07/01,\"I talked to Piper, Claire, Rylee for 33 minutes in the morning.\",\"I talked to Piper, Claire, Rylee for 33 minutes in the morning.\"\n21927,2016/07/01,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n21928,2016/07/01,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n21929,2016/07/02,I did swimming on 2016/07/02.,I did swimming on 2016/07/02.\n21930,2016/07/02,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n21931,2016/07/02,\"I had chinese food for lunch with Piper, Kinsley, Nevaeh, Eva, Nora, Layla, Claire\",\"I had chinese food for lunch with Piper, Kinsley, Nevaeh, Eva, Nora, Layla, Claire\"\n21932,2016/07/02,I ate chinese food for dinner.,I ate chinese food for dinner.\n21933,2016/07/02,I spent 22 talking to Nora on various topics in the early afternoon.,I spent 22 talking to Nora on various topics in the early afternoon.\n21934,2016/07/02,\"I spent 12 talking to Eva, Olivia, Kinsley on various topics in the late afternoon.\",\"I spent 12 talking to Eva, Olivia, Kinsley on various topics in the late afternoon.\"\n21935,2016/07/02,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n21936,2016/07/02,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n21937,2016/07/03,I did running on 2016/07/03.,I did running on 2016/07/03.\n21938,2016/07/03,\"I had breakfast with Kinsley, Eva, Claire, Nora, Nevaeh, Hazel, Layla, Olivia, Piper, Piper, Avery, Lydia. I ate eggs, sausages, and bread.\",\"I had breakfast with Kinsley, Eva, Claire, Nora, Nevaeh, Hazel, Layla, Olivia, Piper, Piper, Avery, Lydia. I ate eggs, sausages, and bread.\"\n21939,2016/07/03,I ate steak for lunch.,I ate steak for lunch.\n21940,2016/07/03,\"I had dinner with Jackson, Avery, Willow, Benjamin. I ate sandwich.\",\"I had dinner with Jackson, Avery, Willow, Benjamin. I ate sandwich.\"\n21941,2016/07/03,\"I spent 10 talking to Olivia, Piper, Avery on various topics in the early afternoon.\",\"I spent 10 talking to Olivia, Piper, Avery on various topics in the early afternoon.\"\n21942,2016/07/03,\"I spent 12 talking to Eva, Olivia, Lydia, Avery on various topics in the early evening.\",\"I spent 12 talking to Eva, Olivia, Lydia, Avery on various topics in the early evening.\"\n21943,2016/07/03,I talked to Olivia for 6 minutes late in the evening.,I talked to Olivia for 6 minutes late in the evening.\n21944,2016/07/03,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n21945,2016/07/03,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n21946,2016/07/04,I did HIIT on 2016/07/04.,I did HIIT on 2016/07/04.\n21947,2016/07/04,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n21948,2016/07/04,\"I had lunch with Eva, Layla, Nora, Piper, Kinsley, Rylee, Lydia, Piper, Nevaeh, Olivia, Avery, Claire, Hazel. I ate tacos.\",\"I had lunch with Eva, Layla, Nora, Piper, Kinsley, Rylee, Lydia, Piper, Nevaeh, Olivia, Avery, Claire, Hazel. I ate tacos.\"\n21949,2016/07/04,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n21950,2016/07/04,\"I talked to Nora, Olivia for 42 minutes in the late afternoon.\",\"I talked to Nora, Olivia for 42 minutes in the late afternoon.\"\n21951,2016/07/04,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n21952,2016/07/04,I spent 40 minutes watching a movie on TV today.,I spent 40 minutes watching a movie on TV today.\n21953,2016/07/05,I really enjoyed gardening on 2016/07/05,I really enjoyed gardening on 2016/07/05\n21954,2016/07/05,I did swimming on 2016/07/05.,I did swimming on 2016/07/05.\n21955,2016/07/05,\"I had peanut-butter-jam for breakfast with Lydia, Piper, Eva, Kinsley, Piper, Hazel, Olivia, Nevaeh, Layla, Claire\",\"I had peanut-butter-jam for breakfast with Lydia, Piper, Eva, Kinsley, Piper, Hazel, Olivia, Nevaeh, Layla, Claire\"\n21956,2016/07/05,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n21957,2016/07/05,\"I had fish and chips for dinner with Kayden, Carter, Emily\",\"I had fish and chips for dinner with Kayden, Carter, Emily\"\n21958,2016/07/05,I talked to Hazel for 43 minutes in the early evening.,I talked to Hazel for 43 minutes in the early evening.\n21959,2016/07/05,\"I spent 7 talking to Hazel, Layla, Lydia, Nora on various topics in the morning.\",\"I spent 7 talking to Hazel, Layla, Lydia, Nora on various topics in the morning.\"\n21960,2016/07/05,\"I talked to Nevaeh, Rylee, Claire, Avery for 35 minutes late in the evening.\",\"I talked to Nevaeh, Rylee, Claire, Avery for 35 minutes late in the evening.\"\n21961,2016/07/05,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n21962,2016/07/05,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n21963,2016/07/06,I did hiking on 2016/07/06.,I did hiking on 2016/07/06.\n21964,2016/07/06,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n21965,2016/07/06,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n21966,2016/07/06,\"I had chinese food for dinner with Avery, Willow, Jackson, Benjamin\",\"I had chinese food for dinner with Avery, Willow, Jackson, Benjamin\"\n21967,2016/07/06,\"I spent 35 talking to Nevaeh, Piper, Claire, Layla on various topics in the morning.\",\"I spent 35 talking to Nevaeh, Piper, Claire, Layla on various topics in the morning.\"\n21968,2016/07/06,\"I spent 44 talking to Olivia, Kinsley on various topics late in the evening.\",\"I spent 44 talking to Olivia, Kinsley on various topics late in the evening.\"\n21969,2016/07/06,\"I talked to Claire, Piper, Layla for 12 minutes in the early afternoon.\",\"I talked to Claire, Piper, Layla for 12 minutes in the early afternoon.\"\n21970,2016/07/06,I talked to Olivia for 43 minutes late in the evening.,I talked to Olivia for 43 minutes late in the evening.\n21971,2016/07/06,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n21972,2016/07/06,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n21973,2016/07/07,\"I went grocery shopping with Emily, Andrew. I bought some pineapples, apricots, strawberries, nectarines, apple juice, pineapple juice, soda, coffee, and shampoo, shaving cream, body lotion, conditioner\",\"I went grocery shopping with Emily, Andrew. I bought some pineapples, apricots, strawberries, nectarines, apple juice, pineapple juice, soda, coffee, and shampoo, shaving cream, body lotion, conditioner\"\n21974,2016/07/07,I did biking on 2016/07/07.,I did biking on 2016/07/07.\n21975,2016/07/07,I ate cereals for breakfast.,I ate cereals for breakfast.\n21976,2016/07/07,\"I had lunch with Avery, Willow. I ate indian food.\",\"I had lunch with Avery, Willow. I ate indian food.\"\n21977,2016/07/07,\"I had dinner with Nora, Eva, Claire, Piper, Nevaeh, Hazel, Rylee, Lydia, Piper, Kinsley, Avery, Olivia. I ate sushi.\",\"I had dinner with Nora, Eva, Claire, Piper, Nevaeh, Hazel, Rylee, Lydia, Piper, Kinsley, Avery, Olivia. I ate sushi.\"\n21978,2016/07/07,\"I talked to Piper, Layla, Hazel, Avery for 13 minutes during lunch hours.\",\"I talked to Piper, Layla, Hazel, Avery for 13 minutes during lunch hours.\"\n21979,2016/07/07,I talked to Avery for 47 minutes in the late afternoon.,I talked to Avery for 47 minutes in the late afternoon.\n21980,2016/07/07,\"I spent 26 talking to Claire, Piper on various topics late in the evening.\",\"I spent 26 talking to Claire, Piper on various topics late in the evening.\"\n21981,2016/07/07,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n21982,2016/07/07,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n21983,2016/07/08,I did swimming on 2016/07/08.,I did swimming on 2016/07/08.\n21984,2016/07/08,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n21985,2016/07/08,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n21986,2016/07/08,I prepare a burger for dinner.,I prepare a burger for dinner.\n21987,2016/07/08,I talked to Rylee for 51 minutes in the early evening.,I talked to Rylee for 51 minutes in the early evening.\n21988,2016/07/08,\"I talked to Lydia, Avery, Rylee, Hazel for 42 minutes in the early afternoon.\",\"I talked to Lydia, Avery, Rylee, Hazel for 42 minutes in the early afternoon.\"\n21989,2016/07/08,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n21990,2016/07/08,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n21991,2016/07/09,\"I bought some cherres, pineapples, mineral water, paper towel, facial wash, toothbrush online.\",\"I bought some cherres, pineapples, mineral water, paper towel, facial wash, toothbrush online.\"\n21992,2016/07/09,I did running on 2016/07/09.,I did running on 2016/07/09.\n21993,2016/07/09,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n21994,2016/07/09,I had lunch with Piper. I ate chinese food.,I had lunch with Piper. I ate chinese food.\n21995,2016/07/09,I prepare a burger for dinner.,I prepare a burger for dinner.\n21996,2016/07/09,\"I spent 40 talking to Olivia, Piper, Piper, Layla on various topics late in the evening.\",\"I spent 40 talking to Olivia, Piper, Piper, Layla on various topics late in the evening.\"\n21997,2016/07/09,I spent 41 talking to Claire on various topics in the morning.,I spent 41 talking to Claire on various topics in the morning.\n21998,2016/07/09,\"I talked to Nora, Eva, Kinsley for 48 minutes during lunch hours.\",\"I talked to Nora, Eva, Kinsley for 48 minutes during lunch hours.\"\n21999,2016/07/09,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n22000,2016/07/09,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n22001,2016/07/10,I went on a date with Aubrey on 2016/07/10 at a park,I went on a date with Aubrey on 2016/07/10 at a park\n22002,2016/07/10,I did biking on 2016/07/10.,I did biking on 2016/07/10.\n22003,2016/07/10,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n22004,2016/07/10,I had a burger for lunch with Carter,I had a burger for lunch with Carter\n22005,2016/07/10,\"I had pasta for dinner with Hazel, Layla, Nevaeh, Lydia, Piper, Kinsley, Nora, Rylee, Claire, Avery, Eva, Piper, Olivia\",\"I had pasta for dinner with Hazel, Layla, Nevaeh, Lydia, Piper, Kinsley, Nora, Rylee, Claire, Avery, Eva, Piper, Olivia\"\n22006,2016/07/10,I spent 12 talking to Nevaeh on various topics during lunch hours.,I spent 12 talking to Nevaeh on various topics during lunch hours.\n22007,2016/07/10,I talked to Avery for 33 minutes in the early evening.,I talked to Avery for 33 minutes in the early evening.\n22008,2016/07/10,I spent 24 talking to Layla on various topics in the late afternoon.,I spent 24 talking to Layla on various topics in the late afternoon.\n22009,2016/07/10,\"I talked to Kinsley, Claire, Hazel, Lydia for 5 minutes in the morning.\",\"I talked to Kinsley, Claire, Hazel, Lydia for 5 minutes in the morning.\"\n22010,2016/07/10,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n22011,2016/07/10,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n22012,2016/07/11,I did swimming on 2016/07/11.,I did swimming on 2016/07/11.\n22013,2016/07/11,\"I had breakfast with Emily, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Carter. I ate eggs, sausages, and bread.\"\n22014,2016/07/11,I prepare pasta for lunch.,I prepare pasta for lunch.\n22015,2016/07/11,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n22016,2016/07/11,\"I talked to Hazel, Olivia, Lydia for 53 minutes in the late afternoon.\",\"I talked to Hazel, Olivia, Lydia for 53 minutes in the late afternoon.\"\n22017,2016/07/11,I spent 29 talking to Kinsley on various topics in the late afternoon.,I spent 29 talking to Kinsley on various topics in the late afternoon.\n22018,2016/07/11,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n22019,2016/07/11,I spent 30 minutes watching a tv series on TV today.,I spent 30 minutes watching a tv series on TV today.\n22020,2016/07/12,I really enjoyed gardening on 2016/07/12,I really enjoyed gardening on 2016/07/12\n22021,2016/07/12,I did HIIT on 2016/07/12.,I did HIIT on 2016/07/12.\n22022,2016/07/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n22023,2016/07/12,\"I had lunch with Nora, Lydia, Kinsley, Piper, Hazel, Olivia, Rylee, Avery, Eva, Claire, Nevaeh, Piper, Layla. I ate tacos.\",\"I had lunch with Nora, Lydia, Kinsley, Piper, Hazel, Olivia, Rylee, Avery, Eva, Claire, Nevaeh, Piper, Layla. I ate tacos.\"\n22024,2016/07/12,I ate sandwich for dinner.,I ate sandwich for dinner.\n22025,2016/07/12,\"I spent 41 talking to Nora, Rylee on various topics in the early evening.\",\"I spent 41 talking to Nora, Rylee on various topics in the early evening.\"\n22026,2016/07/12,\"I talked to Nora, Rylee for 17 minutes late in the evening.\",\"I talked to Nora, Rylee for 17 minutes late in the evening.\"\n22027,2016/07/12,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n22028,2016/07/12,I spent 46 minutes watching a movie on TV today.,I spent 46 minutes watching a movie on TV today.\n22029,2016/07/13,\"On 2016/07/13, I took Silas on a date to a boba shop\",\"On 2016/07/13, I took Silas on a date to a boba shop\"\n22030,2016/07/13,\"I went grocery shopping. I bought some bananas, peaches, coffee, and toothbrush, shaving cream, facial wash, mouth wash\",\"I went grocery shopping. I bought some bananas, peaches, coffee, and toothbrush, shaving cream, facial wash, mouth wash\"\n22031,2016/07/13,I did weight lifting on 2016/07/13.,I did weight lifting on 2016/07/13.\n22032,2016/07/13,I had pancakes for breakfast with Benjamin,I had pancakes for breakfast with Benjamin\n22033,2016/07/13,I prepare tacos for lunch.,I prepare tacos for lunch.\n22034,2016/07/13,\"I had indian food for dinner with Kayden, Carter, Andrew, Emily\",\"I had indian food for dinner with Kayden, Carter, Andrew, Emily\"\n22035,2016/07/13,\"I talked to Hazel, Rylee, Piper, Piper for 29 minutes in the early afternoon.\",\"I talked to Hazel, Rylee, Piper, Piper for 29 minutes in the early afternoon.\"\n22036,2016/07/13,\"I spent 25 talking to Hazel, Claire, Nevaeh, Nora on various topics in the early afternoon.\",\"I spent 25 talking to Hazel, Claire, Nevaeh, Nora on various topics in the early afternoon.\"\n22037,2016/07/13,\"I talked to Kinsley, Lydia, Avery for 52 minutes late in the evening.\",\"I talked to Kinsley, Lydia, Avery for 52 minutes late in the evening.\"\n22038,2016/07/13,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n22039,2016/07/13,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n22040,2016/07/14,I did HIIT on 2016/07/14.,I did HIIT on 2016/07/14.\n22041,2016/07/14,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n22042,2016/07/14,I had lunch with Andrew. I ate indian food.,I had lunch with Andrew. I ate indian food.\n22043,2016/07/14,\"I had dinner with Claire, Nora, Olivia. I ate sushi.\",\"I had dinner with Claire, Nora, Olivia. I ate sushi.\"\n22044,2016/07/14,\"I talked to Hazel, Avery for 43 minutes in the early evening.\",\"I talked to Hazel, Avery for 43 minutes in the early evening.\"\n22045,2016/07/14,\"I spent 33 talking to Kinsley, Piper on various topics in the morning.\",\"I spent 33 talking to Kinsley, Piper on various topics in the morning.\"\n22046,2016/07/14,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n22047,2016/07/14,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n22048,2016/07/15,\"I really enjoyed cooking so-easy sloppy joes, wonton soup, creamed garden potatoes and peas on 2016/07/15 with Eva at my place\",\"I really enjoyed cooking so-easy sloppy joes, wonton soup, creamed garden potatoes and peas on 2016/07/15 with Eva at my place\"\n22049,2016/07/15,\"I went grocery shopping with Avery, Willow, Jackson. I bought some raspberries, strawberries, mineral water, chocolate milk, and toothbrush, shaving cream, paper towel, toothpaste\",\"I went grocery shopping with Avery, Willow, Jackson. I bought some raspberries, strawberries, mineral water, chocolate milk, and toothbrush, shaving cream, paper towel, toothpaste\"\n22050,2016/07/15,I did weight lifting on 2016/07/15.,I did weight lifting on 2016/07/15.\n22051,2016/07/15,\"I had breakfast with Jackson, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Willow. I ate eggs, sausages, and bread.\"\n22052,2016/07/15,I prepare tacos for lunch.,I prepare tacos for lunch.\n22053,2016/07/15,I prepare pasta for dinner.,I prepare pasta for dinner.\n22054,2016/07/15,\"I spent 48 talking to Lydia, Nora, Eva on various topics in the early afternoon.\",\"I spent 48 talking to Lydia, Nora, Eva on various topics in the early afternoon.\"\n22055,2016/07/15,\"I talked to Rylee, Nora for 15 minutes in the early evening.\",\"I talked to Rylee, Nora for 15 minutes in the early evening.\"\n22056,2016/07/15,I spent 49 talking to Eva on various topics in the morning.,I spent 49 talking to Eva on various topics in the morning.\n22057,2016/07/15,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n22058,2016/07/15,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n22059,2016/07/16,I did HIIT on 2016/07/16.,I did HIIT on 2016/07/16.\n22060,2016/07/16,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n22061,2016/07/16,I prepare a burger for lunch.,I prepare a burger for lunch.\n22062,2016/07/16,\"I had dinner with Jackson, Benjamin. I ate indian food.\",\"I had dinner with Jackson, Benjamin. I ate indian food.\"\n22063,2016/07/16,I spent 44 talking to Claire on various topics in the morning.,I spent 44 talking to Claire on various topics in the morning.\n22064,2016/07/16,\"I spent 25 talking to Eva, Layla, Piper, Lydia on various topics late in the evening.\",\"I spent 25 talking to Eva, Layla, Piper, Lydia on various topics late in the evening.\"\n22065,2016/07/16,I spent 36 talking to Lydia on various topics late in the evening.,I spent 36 talking to Lydia on various topics late in the evening.\n22066,2016/07/16,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n22067,2016/07/16,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n22068,2016/07/17,I went on a date with Grayson on 2016/07/17 at a restaurant,I went on a date with Grayson on 2016/07/17 at a restaurant\n22069,2016/07/17,I did swimming on 2016/07/17.,I did swimming on 2016/07/17.\n22070,2016/07/17,I had cereals for breakfast with Andrew,I had cereals for breakfast with Andrew\n22071,2016/07/17,I ate sushi for lunch.,I ate sushi for lunch.\n22072,2016/07/17,I prepare pasta for dinner.,I prepare pasta for dinner.\n22073,2016/07/17,\"I talked to Layla, Piper, Avery for 34 minutes in the early afternoon.\",\"I talked to Layla, Piper, Avery for 34 minutes in the early afternoon.\"\n22074,2016/07/17,\"I spent 11 talking to Hazel, Claire, Layla on various topics in the early evening.\",\"I spent 11 talking to Hazel, Claire, Layla on various topics in the early evening.\"\n22075,2016/07/17,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n22076,2016/07/17,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n22077,2016/07/18,I went on a date with Emery on 2016/07/18 at a park,I went on a date with Emery on 2016/07/18 at a park\n22078,2016/07/18,\"I went grocery shopping with Andrew, Kayden, Emily, Carter. I bought some nectarines, apples, soda, and paper towel\",\"I went grocery shopping with Andrew, Kayden, Emily, Carter. I bought some nectarines, apples, soda, and paper towel\"\n22079,2016/07/18,I did swimming on 2016/07/18.,I did swimming on 2016/07/18.\n22080,2016/07/18,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n22081,2016/07/18,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n22082,2016/07/18,I prepare a burger for dinner.,I prepare a burger for dinner.\n22083,2016/07/18,\"I spent 8 talking to Nora, Nevaeh, Piper, Avery on various topics in the late afternoon.\",\"I spent 8 talking to Nora, Nevaeh, Piper, Avery on various topics in the late afternoon.\"\n22084,2016/07/18,\"I talked to Claire, Rylee for 10 minutes in the early afternoon.\",\"I talked to Claire, Rylee for 10 minutes in the early afternoon.\"\n22085,2016/07/18,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n22086,2016/07/18,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n22087,2016/07/19,I did HIIT on 2016/07/19.,I did HIIT on 2016/07/19.\n22088,2016/07/19,I had breakfast with Carter. I ate cereals.,I had breakfast with Carter. I ate cereals.\n22089,2016/07/19,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n22090,2016/07/19,I ate chinese food for dinner.,I ate chinese food for dinner.\n22091,2016/07/19,\"I talked to Kinsley, Layla, Rylee, Eva for 13 minutes during lunch hours.\",\"I talked to Kinsley, Layla, Rylee, Eva for 13 minutes during lunch hours.\"\n22092,2016/07/19,\"I spent 8 talking to Hazel, Piper, Claire on various topics in the early evening.\",\"I spent 8 talking to Hazel, Piper, Claire on various topics in the early evening.\"\n22093,2016/07/19,I spent 20 talking to Hazel on various topics in the early evening.,I spent 20 talking to Hazel on various topics in the early evening.\n22094,2016/07/19,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n22095,2016/07/19,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n22096,2016/07/20,I did swimming on 2016/07/20.,I did swimming on 2016/07/20.\n22097,2016/07/20,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n22098,2016/07/20,\"I had lunch with Olivia, Nora, Nevaeh, Avery. I ate a burger.\",\"I had lunch with Olivia, Nora, Nevaeh, Avery. I ate a burger.\"\n22099,2016/07/20,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n22100,2016/07/20,\"I talked to Lydia, Kinsley for 12 minutes during lunch hours.\",\"I talked to Lydia, Kinsley for 12 minutes during lunch hours.\"\n22101,2016/07/20,\"I talked to Nora, Hazel, Olivia, Piper for 38 minutes in the early evening.\",\"I talked to Nora, Hazel, Olivia, Piper for 38 minutes in the early evening.\"\n22102,2016/07/20,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n22103,2016/07/20,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n22104,2016/07/21,\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\"\n22105,2016/07/21,\"I had chinese food for lunch with Andrew, Kayden, Carter, Emily\",\"I had chinese food for lunch with Andrew, Kayden, Carter, Emily\"\n22106,2016/07/21,\"I had fish and chips for dinner with Emily, Kayden, Andrew, Carter\",\"I had fish and chips for dinner with Emily, Kayden, Andrew, Carter\"\n22107,2016/07/21,I talked to Olivia for 22 minutes in the early afternoon.,I talked to Olivia for 22 minutes in the early afternoon.\n22108,2016/07/21,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n22109,2016/07/21,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n22110,2016/07/22,\"I was cooking au gratin peas and potatoes, cashew chicken  on 2016/07/22 with Benjamin, Jackson at my place\",\"I was cooking au gratin peas and potatoes, cashew chicken  on 2016/07/22 with Benjamin, Jackson at my place\"\n22111,2016/07/22,I did HIIT on 2016/07/22.,I did HIIT on 2016/07/22.\n22112,2016/07/22,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n22113,2016/07/22,I ate steak for lunch.,I ate steak for lunch.\n22114,2016/07/22,I prepare sushi for dinner.,I prepare sushi for dinner.\n22115,2016/07/22,\"I spent 47 talking to Avery, Kinsley on various topics in the late afternoon.\",\"I spent 47 talking to Avery, Kinsley on various topics in the late afternoon.\"\n22116,2016/07/22,I spent 40 talking to Claire on various topics during lunch hours.,I spent 40 talking to Claire on various topics during lunch hours.\n22117,2016/07/22,\"I spent 17 talking to Nevaeh, Avery, Hazel on various topics in the early evening.\",\"I spent 17 talking to Nevaeh, Avery, Hazel on various topics in the early evening.\"\n22118,2016/07/22,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n22119,2016/07/22,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n22120,2016/07/23,I did weight lifting on 2016/07/23.,I did weight lifting on 2016/07/23.\n22121,2016/07/23,\"I had breakfast with Rylee, Hazel, Lydia, Claire, Layla, Nevaeh, Olivia, Piper, Nora, Avery, Eva. I ate oatmeal.\",\"I had breakfast with Rylee, Hazel, Lydia, Claire, Layla, Nevaeh, Olivia, Piper, Nora, Avery, Eva. I ate oatmeal.\"\n22122,2016/07/23,\"I had sushi for lunch with Kayden, Carter, Emily, Andrew\",\"I had sushi for lunch with Kayden, Carter, Emily, Andrew\"\n22123,2016/07/23,\"I had dinner with Hazel, Piper, Claire, Piper, Kinsley, Nora, Layla, Lydia, Nevaeh, Olivia, Eva. I ate a burger.\",\"I had dinner with Hazel, Piper, Claire, Piper, Kinsley, Nora, Layla, Lydia, Nevaeh, Olivia, Eva. I ate a burger.\"\n22124,2016/07/23,I spent 35 talking to Nora on various topics in the morning.,I spent 35 talking to Nora on various topics in the morning.\n22125,2016/07/23,\"I talked to Hazel, Layla, Olivia for 34 minutes in the morning.\",\"I talked to Hazel, Layla, Olivia for 34 minutes in the morning.\"\n22126,2016/07/23,I talked to Olivia for 27 minutes late in the evening.,I talked to Olivia for 27 minutes late in the evening.\n22127,2016/07/23,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n22128,2016/07/23,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n22129,2016/07/24,\"On 2016/07/24, I took Liam on a date to a park\",\"On 2016/07/24, I took Liam on a date to a park\"\n22130,2016/07/24,I did running on 2016/07/24.,I did running on 2016/07/24.\n22131,2016/07/24,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n22132,2016/07/24,\"I had lunch with Kayden, Andrew. I ate a burger.\",\"I had lunch with Kayden, Andrew. I ate a burger.\"\n22133,2016/07/24,\"I had indian food for dinner with Carter, Emily\",\"I had indian food for dinner with Carter, Emily\"\n22134,2016/07/24,\"I spent 49 talking to Kinsley, Lydia on various topics in the early evening.\",\"I spent 49 talking to Kinsley, Lydia on various topics in the early evening.\"\n22135,2016/07/24,I talked to Nora for 19 minutes during lunch hours.,I talked to Nora for 19 minutes during lunch hours.\n22136,2016/07/24,I spent 46 talking to Kinsley on various topics in the early afternoon.,I spent 46 talking to Kinsley on various topics in the early afternoon.\n22137,2016/07/24,I spent 12 talking to Nevaeh on various topics late in the evening.,I spent 12 talking to Nevaeh on various topics late in the evening.\n22138,2016/07/24,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n22139,2016/07/24,I watched a documentary for 50 minutes on TV today.,I watched a documentary for 50 minutes on TV today.\n22140,2016/07/25,\"I bought some nectarines, peaches, guava, apples, soda, paper towel from the grocery store. I saw Emily, Carter, Andrew at the grocery store.\",\"I bought some nectarines, peaches, guava, apples, soda, paper towel from the grocery store. I saw Emily, Carter, Andrew at the grocery store.\"\n22141,2016/07/25,I did biking on 2016/07/25.,I did biking on 2016/07/25.\n22142,2016/07/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n22143,2016/07/25,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n22144,2016/07/25,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n22145,2016/07/25,I talked to Piper for 13 minutes in the early evening.,I talked to Piper for 13 minutes in the early evening.\n22146,2016/07/25,\"I talked to Nora, Eva for 28 minutes in the morning.\",\"I talked to Nora, Eva for 28 minutes in the morning.\"\n22147,2016/07/25,I talked to Nevaeh for 11 minutes late in the evening.,I talked to Nevaeh for 11 minutes late in the evening.\n22148,2016/07/25,\"I talked to Layla, Rylee for 8 minutes late in the evening.\",\"I talked to Layla, Rylee for 8 minutes late in the evening.\"\n22149,2016/07/25,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n22150,2016/07/25,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n22151,2016/07/26,I went on a date with Grace on 2016/07/26 at a coffee Shop,I went on a date with Grace on 2016/07/26 at a coffee Shop\n22152,2016/07/26,I did swimming on 2016/07/26.,I did swimming on 2016/07/26.\n22153,2016/07/26,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n22154,2016/07/26,I ate indian food for lunch.,I ate indian food for lunch.\n22155,2016/07/26,\"I had dinner with Eva, Avery, Lydia, Nora, Rylee, Kinsley, Piper, Olivia, Nevaeh, Piper, Claire, Hazel, Layla. I ate steak.\",\"I had dinner with Eva, Avery, Lydia, Nora, Rylee, Kinsley, Piper, Olivia, Nevaeh, Piper, Claire, Hazel, Layla. I ate steak.\"\n22156,2016/07/26,\"I spent 9 talking to Kinsley, Piper on various topics in the early afternoon.\",\"I spent 9 talking to Kinsley, Piper on various topics in the early afternoon.\"\n22157,2016/07/26,I spent 18 talking to Layla on various topics in the morning.,I spent 18 talking to Layla on various topics in the morning.\n22158,2016/07/26,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n22159,2016/07/26,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n22160,2016/07/27,I did swimming on 2016/07/27.,I did swimming on 2016/07/27.\n22161,2016/07/27,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n22162,2016/07/27,\"I had indian food for lunch with Nevaeh, Hazel, Piper, Layla, Nora, Rylee, Olivia, Avery, Piper, Claire, Eva, Kinsley\",\"I had indian food for lunch with Nevaeh, Hazel, Piper, Layla, Nora, Rylee, Olivia, Avery, Piper, Claire, Eva, Kinsley\"\n22163,2016/07/27,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n22164,2016/07/27,\"I talked to Avery, Kinsley, Claire for 44 minutes in the morning.\",\"I talked to Avery, Kinsley, Claire for 44 minutes in the morning.\"\n22165,2016/07/27,\"I spent 46 talking to Rylee, Eva, Layla on various topics in the early afternoon.\",\"I spent 46 talking to Rylee, Eva, Layla on various topics in the early afternoon.\"\n22166,2016/07/27,I spent 15 talking to Rylee on various topics in the early afternoon.,I spent 15 talking to Rylee on various topics in the early afternoon.\n22167,2016/07/27,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n22168,2016/07/27,I spent 20 minutes watching a movie on TV today.,I spent 20 minutes watching a movie on TV today.\n22169,2016/07/28,I did HIIT on 2016/07/28.,I did HIIT on 2016/07/28.\n22170,2016/07/28,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n22171,2016/07/28,I ate pasta for lunch.,I ate pasta for lunch.\n22172,2016/07/28,I ate chinese food for dinner.,I ate chinese food for dinner.\n22173,2016/07/28,\"I spent 32 talking to Kinsley, Olivia on various topics in the late afternoon.\",\"I spent 32 talking to Kinsley, Olivia on various topics in the late afternoon.\"\n22174,2016/07/28,I talked to Lydia for 16 minutes during lunch hours.,I talked to Lydia for 16 minutes during lunch hours.\n22175,2016/07/28,\"I spent 42 talking to Nevaeh, Rylee, Olivia on various topics in the late afternoon.\",\"I spent 42 talking to Nevaeh, Rylee, Olivia on various topics in the late afternoon.\"\n22176,2016/07/28,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n22177,2016/07/28,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n22178,2016/07/29,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n22179,2016/07/29,\"I had chinese food for lunch with Emily, Carter, Andrew\",\"I had chinese food for lunch with Emily, Carter, Andrew\"\n22180,2016/07/29,\"I had dinner with Piper, Nevaeh, Claire, Eva, Piper, Nora, Hazel, Rylee, Lydia, Avery. I ate tacos.\",\"I had dinner with Piper, Nevaeh, Claire, Eva, Piper, Nora, Hazel, Rylee, Lydia, Avery. I ate tacos.\"\n22181,2016/07/29,\"I spent 24 talking to Hazel, Piper, Olivia, Avery on various topics in the late afternoon.\",\"I spent 24 talking to Hazel, Piper, Olivia, Avery on various topics in the late afternoon.\"\n22182,2016/07/29,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n22183,2016/07/29,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n22184,2016/07/30,\"I went grocery shopping with Hazel, Nora, Olivia, Claire, Layla, Lydia, Kinsley, Eva, Rylee, Piper. I bought some oranges, sports drinks, pineapple juice, and toothpaste, toilet paper, paper towel, conditioner\",\"I went grocery shopping with Hazel, Nora, Olivia, Claire, Layla, Lydia, Kinsley, Eva, Rylee, Piper. I bought some oranges, sports drinks, pineapple juice, and toothpaste, toilet paper, paper towel, conditioner\"\n22185,2016/07/30,I did HIIT on 2016/07/30.,I did HIIT on 2016/07/30.\n22186,2016/07/30,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n22187,2016/07/30,I ate sushi for lunch.,I ate sushi for lunch.\n22188,2016/07/30,I had dinner with Avery. I ate indian food.,I had dinner with Avery. I ate indian food.\n22189,2016/07/30,\"I talked to Piper, Olivia, Piper, Rylee for 54 minutes in the early evening.\",\"I talked to Piper, Olivia, Piper, Rylee for 54 minutes in the early evening.\"\n22190,2016/07/30,\"I spent 31 talking to Nevaeh, Kinsley, Rylee, Piper on various topics in the late afternoon.\",\"I spent 31 talking to Nevaeh, Kinsley, Rylee, Piper on various topics in the late afternoon.\"\n22191,2016/07/30,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n22192,2016/07/30,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n22193,2016/07/31,I did HIIT on 2016/07/31.,I did HIIT on 2016/07/31.\n22194,2016/07/31,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n22195,2016/07/31,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n22196,2016/07/31,I ate pasta for dinner.,I ate pasta for dinner.\n22197,2016/07/31,\"I talked to Olivia, Layla, Rylee for 22 minutes late in the evening.\",\"I talked to Olivia, Layla, Rylee for 22 minutes late in the evening.\"\n22198,2016/07/31,\"I talked to Rylee, Layla, Avery for 54 minutes in the early evening.\",\"I talked to Rylee, Layla, Avery for 54 minutes in the early evening.\"\n22199,2016/07/31,\"I spent 51 talking to Lydia, Hazel, Layla on various topics during lunch hours.\",\"I spent 51 talking to Lydia, Hazel, Layla on various topics during lunch hours.\"\n22200,2016/07/31,I spent 29 talking to Piper on various topics late in the evening.,I spent 29 talking to Piper on various topics late in the evening.\n22201,2016/07/31,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n22202,2016/07/31,I watched news for 29 minutes on TV today.,I watched news for 29 minutes on TV today.\n22203,2016/08/01,I spent some time working out on 2016/08/01.,I spent some time working out on 2016/08/01.\n22204,2016/08/01,\"I bought some clementines, strawberries, apples, guava, soda, milk, apple juice, mouth wash, shampoo from the grocery store. I saw Willow, Avery, Jackson at the grocery store.\",\"I bought some clementines, strawberries, apples, guava, soda, milk, apple juice, mouth wash, shampoo from the grocery store. I saw Willow, Avery, Jackson at the grocery store.\"\n22205,2016/08/01,I did swimming on 2016/08/01.,I did swimming on 2016/08/01.\n22206,2016/08/01,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n22207,2016/08/01,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n22208,2016/08/01,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n22209,2016/08/01,\"I talked to Layla, Lydia, Olivia, Nevaeh for 13 minutes in the late afternoon.\",\"I talked to Layla, Lydia, Olivia, Nevaeh for 13 minutes in the late afternoon.\"\n22210,2016/08/01,\"I spent 24 talking to Rylee, Nora, Layla on various topics in the morning.\",\"I spent 24 talking to Rylee, Nora, Layla on various topics in the morning.\"\n22211,2016/08/01,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n22212,2016/08/01,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n22213,2016/08/02,\"I had breakfast with Avery, Benjamin, Willow, Jackson. I ate oatmeal.\",\"I had breakfast with Avery, Benjamin, Willow, Jackson. I ate oatmeal.\"\n22214,2016/08/02,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n22215,2016/08/02,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n22216,2016/08/02,\"I talked to Avery, Claire, Kinsley, Eva for 45 minutes during lunch hours.\",\"I talked to Avery, Claire, Kinsley, Eva for 45 minutes during lunch hours.\"\n22217,2016/08/02,I spent 54 talking to Hazel on various topics in the early evening.,I spent 54 talking to Hazel on various topics in the early evening.\n22218,2016/08/02,I spent 9 talking to Rylee on various topics late in the evening.,I spent 9 talking to Rylee on various topics late in the evening.\n22219,2016/08/02,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n22220,2016/08/02,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n22221,2016/08/03,I did running on 2016/08/03.,I did running on 2016/08/03.\n22222,2016/08/03,I had breakfast with Kayden. I ate peanut-butter-jam.,I had breakfast with Kayden. I ate peanut-butter-jam.\n22223,2016/08/03,I prepare sushi for lunch.,I prepare sushi for lunch.\n22224,2016/08/03,\"I had dinner with Willow, Benjamin, Jackson. I ate chinese food.\",\"I had dinner with Willow, Benjamin, Jackson. I ate chinese food.\"\n22225,2016/08/03,\"I talked to Kinsley, Avery for 55 minutes in the morning.\",\"I talked to Kinsley, Avery for 55 minutes in the morning.\"\n22226,2016/08/03,\"I spent 35 talking to Hazel, Olivia on various topics in the morning.\",\"I spent 35 talking to Hazel, Olivia on various topics in the morning.\"\n22227,2016/08/03,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n22228,2016/08/03,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n22229,2016/08/04,I did running on 2016/08/04.,I did running on 2016/08/04.\n22230,2016/08/04,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n22231,2016/08/04,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n22232,2016/08/04,\"I had dinner with Andrew, Kayden, Emily. I ate fish and chips.\",\"I had dinner with Andrew, Kayden, Emily. I ate fish and chips.\"\n22233,2016/08/04,\"I spent 8 talking to Hazel, Eva, Kinsley on various topics in the late afternoon.\",\"I spent 8 talking to Hazel, Eva, Kinsley on various topics in the late afternoon.\"\n22234,2016/08/04,I spent 12 talking to Rylee on various topics in the morning.,I spent 12 talking to Rylee on various topics in the morning.\n22235,2016/08/04,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n22236,2016/08/04,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n22237,2016/08/05,I did weight lifting on 2016/08/05.,I did weight lifting on 2016/08/05.\n22238,2016/08/05,\"I had eggs, sausages, and bread for breakfast with Kayden, Andrew\",\"I had eggs, sausages, and bread for breakfast with Kayden, Andrew\"\n22239,2016/08/05,\"I had fish and chips for lunch with Piper, Olivia, Piper, Rylee, Nevaeh, Hazel, Nora, Avery, Lydia, Claire, Kinsley, Eva, Layla\",\"I had fish and chips for lunch with Piper, Olivia, Piper, Rylee, Nevaeh, Hazel, Nora, Avery, Lydia, Claire, Kinsley, Eva, Layla\"\n22240,2016/08/05,\"I had dinner with Carter, Emily, Kayden. I ate sushi.\",\"I had dinner with Carter, Emily, Kayden. I ate sushi.\"\n22241,2016/08/05,\"I spent 18 talking to Nevaeh, Layla on various topics in the morning.\",\"I spent 18 talking to Nevaeh, Layla on various topics in the morning.\"\n22242,2016/08/05,\"I spent 34 talking to Hazel, Nevaeh, Kinsley on various topics in the early evening.\",\"I spent 34 talking to Hazel, Nevaeh, Kinsley on various topics in the early evening.\"\n22243,2016/08/05,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n22244,2016/08/05,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n22245,2016/08/06,\"On 2016/08/06, I took Elias on a date to a restaurant\",\"On 2016/08/06, I took Elias on a date to a restaurant\"\n22246,2016/08/06,I did biking on 2016/08/06.,I did biking on 2016/08/06.\n22247,2016/08/06,\"I had breakfast with Emily, Carter, Andrew. I ate oatmeal.\",\"I had breakfast with Emily, Carter, Andrew. I ate oatmeal.\"\n22248,2016/08/06,I ate steak for lunch.,I ate steak for lunch.\n22249,2016/08/06,I ate a burger for dinner.,I ate a burger for dinner.\n22250,2016/08/06,I talked to Layla for 30 minutes during lunch hours.,I talked to Layla for 30 minutes during lunch hours.\n22251,2016/08/06,\"I talked to Claire, Hazel, Lydia for 38 minutes during lunch hours.\",\"I talked to Claire, Hazel, Lydia for 38 minutes during lunch hours.\"\n22252,2016/08/06,I spent 42 talking to Eva on various topics in the early evening.,I spent 42 talking to Eva on various topics in the early evening.\n22253,2016/08/06,\"I talked to Rylee, Piper, Nevaeh, Layla for 18 minutes in the late afternoon.\",\"I talked to Rylee, Piper, Nevaeh, Layla for 18 minutes in the late afternoon.\"\n22254,2016/08/06,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n22255,2016/08/06,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n22256,2016/08/07,I really enjoyed learning a language on 2016/08/07,I really enjoyed learning a language on 2016/08/07\n22257,2016/08/07,\"I went grocery shopping. I bought some guava, peaches, mango juice, soda, orange juice, milk, and conditioner, shaving cream\",\"I went grocery shopping. I bought some guava, peaches, mango juice, soda, orange juice, milk, and conditioner, shaving cream\"\n22258,2016/08/07,I did running on 2016/08/07.,I did running on 2016/08/07.\n22259,2016/08/07,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n22260,2016/08/07,\"I had lunch with Nora, Eva, Claire, Layla, Nevaeh, Olivia, Piper, Rylee, Lydia, Kinsley. I ate sushi.\",\"I had lunch with Nora, Eva, Claire, Layla, Nevaeh, Olivia, Piper, Rylee, Lydia, Kinsley. I ate sushi.\"\n22261,2016/08/07,I ate steak for dinner.,I ate steak for dinner.\n22262,2016/08/07,\"I spent 33 talking to Hazel, Rylee, Nevaeh on various topics in the late afternoon.\",\"I spent 33 talking to Hazel, Rylee, Nevaeh on various topics in the late afternoon.\"\n22263,2016/08/07,\"I talked to Olivia, Piper, Layla, Lydia for 29 minutes in the late afternoon.\",\"I talked to Olivia, Piper, Layla, Lydia for 29 minutes in the late afternoon.\"\n22264,2016/08/07,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n22265,2016/08/07,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n22266,2016/08/08,\"I bought some strawberries, blackberries, guava, cherres, apple juice, sports drinks, toothpaste, toothbrush, shampoo, facial wash from the grocery store. I saw Carter, Andrew, Emily, Kayden at the grocery store.\",\"I bought some strawberries, blackberries, guava, cherres, apple juice, sports drinks, toothpaste, toothbrush, shampoo, facial wash from the grocery store. I saw Carter, Andrew, Emily, Kayden at the grocery store.\"\n22267,2016/08/08,I did running on 2016/08/08.,I did running on 2016/08/08.\n22268,2016/08/08,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n22269,2016/08/08,\"I had lunch with Benjamin, Jackson. I ate sandwich.\",\"I had lunch with Benjamin, Jackson. I ate sandwich.\"\n22270,2016/08/08,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n22271,2016/08/08,I spent 38 talking to Lydia on various topics during lunch hours.,I spent 38 talking to Lydia on various topics during lunch hours.\n22272,2016/08/08,\"I talked to Piper, Piper for 5 minutes in the early afternoon.\",\"I talked to Piper, Piper for 5 minutes in the early afternoon.\"\n22273,2016/08/08,\"I spent 5 talking to Hazel, Layla, Kinsley, Olivia on various topics late in the evening.\",\"I spent 5 talking to Hazel, Layla, Kinsley, Olivia on various topics late in the evening.\"\n22274,2016/08/08,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n22275,2016/08/08,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n22276,2016/08/09,I did HIIT on 2016/08/09.,I did HIIT on 2016/08/09.\n22277,2016/08/09,\"I had pancakes for breakfast with Kayden, Carter\",\"I had pancakes for breakfast with Kayden, Carter\"\n22278,2016/08/09,I ate chinese food for lunch.,I ate chinese food for lunch.\n22279,2016/08/09,\"I had pasta for dinner with Eva, Lydia, Layla, Piper, Claire\",\"I had pasta for dinner with Eva, Lydia, Layla, Piper, Claire\"\n22280,2016/08/09,\"I talked to Avery, Kinsley, Layla for 22 minutes in the early afternoon.\",\"I talked to Avery, Kinsley, Layla for 22 minutes in the early afternoon.\"\n22281,2016/08/09,I talked to Nora for 6 minutes late in the evening.,I talked to Nora for 6 minutes late in the evening.\n22282,2016/08/09,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n22283,2016/08/09,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n22284,2016/08/10,I did biking on 2016/08/10.,I did biking on 2016/08/10.\n22285,2016/08/10,\"I had cereals for breakfast with Kayden, Andrew\",\"I had cereals for breakfast with Kayden, Andrew\"\n22286,2016/08/10,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n22287,2016/08/10,\"I had chinese food for dinner with Benjamin, Avery, Willow, Jackson\",\"I had chinese food for dinner with Benjamin, Avery, Willow, Jackson\"\n22288,2016/08/10,I talked to Kinsley for 14 minutes in the early evening.,I talked to Kinsley for 14 minutes in the early evening.\n22289,2016/08/10,\"I talked to Piper, Piper, Nevaeh, Layla for 25 minutes in the early evening.\",\"I talked to Piper, Piper, Nevaeh, Layla for 25 minutes in the early evening.\"\n22290,2016/08/10,\"I spent 53 talking to Piper, Hazel, Eva on various topics late in the evening.\",\"I spent 53 talking to Piper, Hazel, Eva on various topics late in the evening.\"\n22291,2016/08/10,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n22292,2016/08/10,I spent 40 minutes watching a movie on TV today.,I spent 40 minutes watching a movie on TV today.\n22293,2016/08/11,I did biking on 2016/08/11.,I did biking on 2016/08/11.\n22294,2016/08/11,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n22295,2016/08/11,\"I had sandwich for lunch with Eva, Claire, Olivia, Layla, Avery, Hazel, Nevaeh, Kinsley\",\"I had sandwich for lunch with Eva, Claire, Olivia, Layla, Avery, Hazel, Nevaeh, Kinsley\"\n22296,2016/08/11,\"I had sushi for dinner with Emily, Andrew, Carter, Kayden\",\"I had sushi for dinner with Emily, Andrew, Carter, Kayden\"\n22297,2016/08/11,I talked to Hazel for 36 minutes in the early evening.,I talked to Hazel for 36 minutes in the early evening.\n22298,2016/08/11,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n22299,2016/08/11,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n22300,2016/08/12,I went on a date with Cooper on 2016/08/12 at a restaurant,I went on a date with Cooper on 2016/08/12 at a restaurant\n22301,2016/08/12,I did hiking on 2016/08/12.,I did hiking on 2016/08/12.\n22302,2016/08/12,\"I had oatmeal for breakfast with Emily, Kayden, Carter, Andrew\",\"I had oatmeal for breakfast with Emily, Kayden, Carter, Andrew\"\n22303,2016/08/12,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n22304,2016/08/12,I ate steak for dinner.,I ate steak for dinner.\n22305,2016/08/12,\"I talked to Hazel, Rylee, Claire for 36 minutes in the early evening.\",\"I talked to Hazel, Rylee, Claire for 36 minutes in the early evening.\"\n22306,2016/08/12,\"I talked to Kinsley, Olivia, Avery, Layla for 18 minutes in the late afternoon.\",\"I talked to Kinsley, Olivia, Avery, Layla for 18 minutes in the late afternoon.\"\n22307,2016/08/12,\"I spent 20 talking to Claire, Hazel on various topics in the morning.\",\"I spent 20 talking to Claire, Hazel on various topics in the morning.\"\n22308,2016/08/12,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n22309,2016/08/12,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n22310,2016/08/13,\"I went grocery shopping. I bought some oranges, mangos, mango juice, and toilet paper, toothbrush, conditioner, body lotion\",\"I went grocery shopping. I bought some oranges, mangos, mango juice, and toilet paper, toothbrush, conditioner, body lotion\"\n22311,2016/08/13,I did swimming on 2016/08/13.,I did swimming on 2016/08/13.\n22312,2016/08/13,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n22313,2016/08/13,I ate pasta for lunch.,I ate pasta for lunch.\n22314,2016/08/13,\"I had dinner with Willow, Avery, Benjamin, Jackson. I ate fish and chips.\",\"I had dinner with Willow, Avery, Benjamin, Jackson. I ate fish and chips.\"\n22315,2016/08/13,\"I talked to Eva, Kinsley for 45 minutes in the late afternoon.\",\"I talked to Eva, Kinsley for 45 minutes in the late afternoon.\"\n22316,2016/08/13,\"I spent 15 talking to Claire, Piper, Kinsley, Rylee on various topics in the late afternoon.\",\"I spent 15 talking to Claire, Piper, Kinsley, Rylee on various topics in the late afternoon.\"\n22317,2016/08/13,\"I spent 30 talking to Rylee, Kinsley on various topics during lunch hours.\",\"I spent 30 talking to Rylee, Kinsley on various topics during lunch hours.\"\n22318,2016/08/13,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n22319,2016/08/13,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n22320,2016/08/14,\"I had breakfast with Layla, Nora, Nevaeh, Claire, Kinsley, Avery. I ate oatmeal.\",\"I had breakfast with Layla, Nora, Nevaeh, Claire, Kinsley, Avery. I ate oatmeal.\"\n22321,2016/08/14,\"I had chinese food for lunch with Jackson, Willow, Benjamin, Avery\",\"I had chinese food for lunch with Jackson, Willow, Benjamin, Avery\"\n22322,2016/08/14,I ate pasta for dinner.,I ate pasta for dinner.\n22323,2016/08/14,\"I talked to Piper, Rylee, Hazel, Claire for 35 minutes late in the evening.\",\"I talked to Piper, Rylee, Hazel, Claire for 35 minutes late in the evening.\"\n22324,2016/08/14,\"I talked to Nora, Nevaeh, Claire for 35 minutes late in the evening.\",\"I talked to Nora, Nevaeh, Claire for 35 minutes late in the evening.\"\n22325,2016/08/14,\"I spent 20 talking to Nevaeh, Nora on various topics in the early afternoon.\",\"I spent 20 talking to Nevaeh, Nora on various topics in the early afternoon.\"\n22326,2016/08/14,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n22327,2016/08/14,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n22328,2016/08/15,\"On 2016/08/15, I took Logan on a date to a boba shop\",\"On 2016/08/15, I took Logan on a date to a boba shop\"\n22329,2016/08/15,I did HIIT on 2016/08/15.,I did HIIT on 2016/08/15.\n22330,2016/08/15,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n22331,2016/08/15,\"I had lunch with Emily, Kayden. I ate pasta.\",\"I had lunch with Emily, Kayden. I ate pasta.\"\n22332,2016/08/15,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n22333,2016/08/15,I spent 55 talking to Nora on various topics during lunch hours.,I spent 55 talking to Nora on various topics during lunch hours.\n22334,2016/08/15,I talked to Kinsley for 8 minutes late in the evening.,I talked to Kinsley for 8 minutes late in the evening.\n22335,2016/08/15,\"I talked to Avery, Lydia for 41 minutes in the late afternoon.\",\"I talked to Avery, Lydia for 41 minutes in the late afternoon.\"\n22336,2016/08/15,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n22337,2016/08/15,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n22338,2016/08/16,I did hiking on 2016/08/16.,I did hiking on 2016/08/16.\n22339,2016/08/16,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n22340,2016/08/16,I had sandwich for lunch with Andrew,I had sandwich for lunch with Andrew\n22341,2016/08/16,I ate chinese food for dinner.,I ate chinese food for dinner.\n22342,2016/08/16,\"I talked to Hazel, Kinsley for 9 minutes in the late afternoon.\",\"I talked to Hazel, Kinsley for 9 minutes in the late afternoon.\"\n22343,2016/08/16,\"I talked to Lydia, Hazel, Nora, Layla for 53 minutes in the early evening.\",\"I talked to Lydia, Hazel, Nora, Layla for 53 minutes in the early evening.\"\n22344,2016/08/16,\"I talked to Claire, Avery, Lydia for 11 minutes in the early evening.\",\"I talked to Claire, Avery, Lydia for 11 minutes in the early evening.\"\n22345,2016/08/16,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n22346,2016/08/16,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n22347,2016/08/17,\"I went grocery shopping with Carter, Emily, Andrew, Kayden. I bought some mangos, pineapples, pineapple juice, soda, tea, apple juice, and toothbrush, shaving cream\",\"I went grocery shopping with Carter, Emily, Andrew, Kayden. I bought some mangos, pineapples, pineapple juice, soda, tea, apple juice, and toothbrush, shaving cream\"\n22348,2016/08/17,I did HIIT on 2016/08/17.,I did HIIT on 2016/08/17.\n22349,2016/08/17,\"I had breakfast with Eva, Kinsley, Nora, Layla, Nevaeh, Hazel, Piper, Lydia. I ate oatmeal.\",\"I had breakfast with Eva, Kinsley, Nora, Layla, Nevaeh, Hazel, Piper, Lydia. I ate oatmeal.\"\n22350,2016/08/17,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n22351,2016/08/17,I ate a burger for dinner.,I ate a burger for dinner.\n22352,2016/08/17,\"I talked to Olivia, Layla for 42 minutes in the morning.\",\"I talked to Olivia, Layla for 42 minutes in the morning.\"\n22353,2016/08/17,\"I talked to Eva, Layla, Kinsley, Piper for 27 minutes in the morning.\",\"I talked to Eva, Layla, Kinsley, Piper for 27 minutes in the morning.\"\n22354,2016/08/17,\"I spent 52 talking to Avery, Lydia, Piper on various topics in the early evening.\",\"I spent 52 talking to Avery, Lydia, Piper on various topics in the early evening.\"\n22355,2016/08/17,\"I talked to Nevaeh, Claire for 18 minutes in the early evening.\",\"I talked to Nevaeh, Claire for 18 minutes in the early evening.\"\n22356,2016/08/17,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n22357,2016/08/17,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n22358,2016/08/18,I did hiking on 2016/08/18.,I did hiking on 2016/08/18.\n22359,2016/08/18,\"I had breakfast with Olivia, Hazel, Nora, Lydia, Kinsley, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Olivia, Hazel, Nora, Lydia, Kinsley, Piper. I ate eggs, sausages, and bread.\"\n22360,2016/08/18,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n22361,2016/08/18,\"I had a burger for dinner with Lydia, Piper, Layla, Olivia, Avery\",\"I had a burger for dinner with Lydia, Piper, Layla, Olivia, Avery\"\n22362,2016/08/18,I talked to Nora for 28 minutes late in the evening.,I talked to Nora for 28 minutes late in the evening.\n22363,2016/08/18,\"I talked to Nora, Rylee for 52 minutes in the early afternoon.\",\"I talked to Nora, Rylee for 52 minutes in the early afternoon.\"\n22364,2016/08/18,I talked to Kinsley for 27 minutes in the late afternoon.,I talked to Kinsley for 27 minutes in the late afternoon.\n22365,2016/08/18,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n22366,2016/08/18,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n22367,2016/08/19,I did weight lifting on 2016/08/19.,I did weight lifting on 2016/08/19.\n22368,2016/08/19,\"I had toast and cheese for breakfast with Kayden, Carter, Andrew, Emily\",\"I had toast and cheese for breakfast with Kayden, Carter, Andrew, Emily\"\n22369,2016/08/19,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n22370,2016/08/19,I ate sandwich for dinner.,I ate sandwich for dinner.\n22371,2016/08/19,\"I talked to Piper, Piper for 11 minutes in the late afternoon.\",\"I talked to Piper, Piper for 11 minutes in the late afternoon.\"\n22372,2016/08/19,I spent 12 talking to Rylee on various topics late in the evening.,I spent 12 talking to Rylee on various topics late in the evening.\n22373,2016/08/19,\"I spent 7 talking to Lydia, Hazel on various topics in the early evening.\",\"I spent 7 talking to Lydia, Hazel on various topics in the early evening.\"\n22374,2016/08/19,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n22375,2016/08/19,I spent 47 minutes watching a movie on TV today.,I spent 47 minutes watching a movie on TV today.\n22376,2016/08/20,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n22377,2016/08/20,I ate pasta for lunch.,I ate pasta for lunch.\n22378,2016/08/20,I had fish and chips for dinner with Kayden,I had fish and chips for dinner with Kayden\n22379,2016/08/20,I talked to Layla for 29 minutes in the late afternoon.,I talked to Layla for 29 minutes in the late afternoon.\n22380,2016/08/20,\"I talked to Eva, Olivia, Nevaeh, Lydia for 37 minutes in the late afternoon.\",\"I talked to Eva, Olivia, Nevaeh, Lydia for 37 minutes in the late afternoon.\"\n22381,2016/08/20,\"I talked to Hazel, Avery, Rylee, Kinsley for 9 minutes in the morning.\",\"I talked to Hazel, Avery, Rylee, Kinsley for 9 minutes in the morning.\"\n22382,2016/08/20,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n22383,2016/08/20,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n22384,2016/08/21,\"I really enjoyed baking giant cinnamon roll, chocolate skillet cake on 2016/08/21 with Andrew, Carter, Emily at my place\",\"I really enjoyed baking giant cinnamon roll, chocolate skillet cake on 2016/08/21 with Andrew, Carter, Emily at my place\"\n22385,2016/08/21,I did hiking on 2016/08/21.,I did hiking on 2016/08/21.\n22386,2016/08/21,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n22387,2016/08/21,I had lunch. I ate steak.,I had lunch. I ate steak.\n22388,2016/08/21,\"I had sushi for dinner with Jackson, Avery, Willow, Benjamin\",\"I had sushi for dinner with Jackson, Avery, Willow, Benjamin\"\n22389,2016/08/21,\"I talked to Nevaeh, Piper, Layla, Olivia for 5 minutes late in the evening.\",\"I talked to Nevaeh, Piper, Layla, Olivia for 5 minutes late in the evening.\"\n22390,2016/08/21,I spent 15 talking to Avery on various topics late in the evening.,I spent 15 talking to Avery on various topics late in the evening.\n22391,2016/08/21,I talked to Piper for 12 minutes in the early afternoon.,I talked to Piper for 12 minutes in the early afternoon.\n22392,2016/08/21,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n22393,2016/08/21,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n22394,2016/08/22,I went for an annual dental cleaning and checkup on 2016/08/22 at the university hospital.,I went for an annual dental cleaning and checkup on 2016/08/22 at the university hospital.\n22395,2016/08/22,I did HIIT on 2016/08/22.,I did HIIT on 2016/08/22.\n22396,2016/08/22,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n22397,2016/08/22,\"I had lunch with Carter, Emily. I ate indian food.\",\"I had lunch with Carter, Emily. I ate indian food.\"\n22398,2016/08/22,I prepare tacos for dinner.,I prepare tacos for dinner.\n22399,2016/08/22,I talked to Eva for 51 minutes in the early afternoon.,I talked to Eva for 51 minutes in the early afternoon.\n22400,2016/08/22,\"I spent 43 talking to Eva, Layla, Lydia, Piper on various topics in the early evening.\",\"I spent 43 talking to Eva, Layla, Lydia, Piper on various topics in the early evening.\"\n22401,2016/08/22,\"I spent 21 talking to Lydia, Olivia, Avery, Rylee on various topics during lunch hours.\",\"I spent 21 talking to Lydia, Olivia, Avery, Rylee on various topics during lunch hours.\"\n22402,2016/08/22,I spent 33 talking to Claire on various topics in the late afternoon.,I spent 33 talking to Claire on various topics in the late afternoon.\n22403,2016/08/22,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n22404,2016/08/22,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n22405,2016/08/23,I had toast and cheese for breakfast with Emily,I had toast and cheese for breakfast with Emily\n22406,2016/08/23,\"I had lunch with Emily, Andrew, Carter. I ate sandwich.\",\"I had lunch with Emily, Andrew, Carter. I ate sandwich.\"\n22407,2016/08/23,I ate a burger for dinner.,I ate a burger for dinner.\n22408,2016/08/23,\"I spent 25 talking to Rylee, Eva, Hazel on various topics late in the evening.\",\"I spent 25 talking to Rylee, Eva, Hazel on various topics late in the evening.\"\n22409,2016/08/23,\"I talked to Claire, Avery, Lydia for 38 minutes late in the evening.\",\"I talked to Claire, Avery, Lydia for 38 minutes late in the evening.\"\n22410,2016/08/23,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n22411,2016/08/23,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n22412,2016/08/24,I did HIIT on 2016/08/24.,I did HIIT on 2016/08/24.\n22413,2016/08/24,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n22414,2016/08/24,I ate indian food for lunch.,I ate indian food for lunch.\n22415,2016/08/24,I prepare pasta for dinner.,I prepare pasta for dinner.\n22416,2016/08/24,\"I talked to Claire, Nevaeh, Kinsley, Hazel for 55 minutes late in the evening.\",\"I talked to Claire, Nevaeh, Kinsley, Hazel for 55 minutes late in the evening.\"\n22417,2016/08/24,\"I talked to Avery, Eva, Hazel, Piper for 16 minutes in the early afternoon.\",\"I talked to Avery, Eva, Hazel, Piper for 16 minutes in the early afternoon.\"\n22418,2016/08/24,I spent 51 talking to Kinsley on various topics in the morning.,I spent 51 talking to Kinsley on various topics in the morning.\n22419,2016/08/24,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n22420,2016/08/24,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n22421,2016/08/25,\"I went grocery shopping. I bought some oranges, strawberries, sports drinks, and mouth wash, shampoo, shaving cream\",\"I went grocery shopping. I bought some oranges, strawberries, sports drinks, and mouth wash, shampoo, shaving cream\"\n22422,2016/08/25,I did biking on 2016/08/25.,I did biking on 2016/08/25.\n22423,2016/08/25,\"I had eggs, sausages, and bread for breakfast with Andrew, Emily, Kayden, Carter\",\"I had eggs, sausages, and bread for breakfast with Andrew, Emily, Kayden, Carter\"\n22424,2016/08/25,I ate chinese food for lunch.,I ate chinese food for lunch.\n22425,2016/08/25,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n22426,2016/08/25,\"I spent 47 talking to Piper, Hazel on various topics in the late afternoon.\",\"I spent 47 talking to Piper, Hazel on various topics in the late afternoon.\"\n22427,2016/08/25,I talked to Nevaeh for 17 minutes in the early evening.,I talked to Nevaeh for 17 minutes in the early evening.\n22428,2016/08/25,\"I spent 26 talking to Nora, Rylee, Layla, Olivia on various topics in the early afternoon.\",\"I spent 26 talking to Nora, Rylee, Layla, Olivia on various topics in the early afternoon.\"\n22429,2016/08/25,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n22430,2016/08/25,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n22431,2016/08/26,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n22432,2016/08/26,I ate steak for lunch.,I ate steak for lunch.\n22433,2016/08/26,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n22434,2016/08/26,\"I talked to Nevaeh, Piper for 7 minutes during lunch hours.\",\"I talked to Nevaeh, Piper for 7 minutes during lunch hours.\"\n22435,2016/08/26,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n22436,2016/08/26,I watched a documentary for 55 minutes on TV today.,I watched a documentary for 55 minutes on TV today.\n22437,2016/08/27,I did hiking on 2016/08/27.,I did hiking on 2016/08/27.\n22438,2016/08/27,\"I had pancakes for breakfast with Willow, Avery, Jackson, Benjamin\",\"I had pancakes for breakfast with Willow, Avery, Jackson, Benjamin\"\n22439,2016/08/27,I had lunch with Emily. I ate a burger.,I had lunch with Emily. I ate a burger.\n22440,2016/08/27,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n22441,2016/08/27,\"I spent 7 talking to Lydia, Nevaeh, Piper on various topics during lunch hours.\",\"I spent 7 talking to Lydia, Nevaeh, Piper on various topics during lunch hours.\"\n22442,2016/08/27,\"I spent 49 talking to Eva, Kinsley, Olivia, Piper on various topics in the late afternoon.\",\"I spent 49 talking to Eva, Kinsley, Olivia, Piper on various topics in the late afternoon.\"\n22443,2016/08/27,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n22444,2016/08/27,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n22445,2016/08/28,\"On 2016/08/28, I took Parker on a date to a restaurant\",\"On 2016/08/28, I took Parker on a date to a restaurant\"\n22446,2016/08/28,I did hiking on 2016/08/28.,I did hiking on 2016/08/28.\n22447,2016/08/28,\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate toast and cheese.\",\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate toast and cheese.\"\n22448,2016/08/28,I had a burger for lunch with Olivia,I had a burger for lunch with Olivia\n22449,2016/08/28,\"I had chinese food for dinner with Nevaeh, Piper, Nora, Piper, Layla, Rylee, Olivia, Lydia, Kinsley, Hazel\",\"I had chinese food for dinner with Nevaeh, Piper, Nora, Piper, Layla, Rylee, Olivia, Lydia, Kinsley, Hazel\"\n22450,2016/08/28,\"I talked to Piper, Layla for 13 minutes in the early evening.\",\"I talked to Piper, Layla for 13 minutes in the early evening.\"\n22451,2016/08/28,I spent 30 talking to Eva on various topics in the early afternoon.,I spent 30 talking to Eva on various topics in the early afternoon.\n22452,2016/08/28,\"I spent 19 talking to Avery, Hazel, Nevaeh on various topics in the late afternoon.\",\"I spent 19 talking to Avery, Hazel, Nevaeh on various topics in the late afternoon.\"\n22453,2016/08/28,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n22454,2016/08/28,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n22455,2016/08/29,I really enjoyed yoga on 2016/08/29,I really enjoyed yoga on 2016/08/29\n22456,2016/08/29,\"I went grocery shopping with Emily, Andrew, Kayden, Carter. I bought some watermelons, clementines, guava juice, milk, and conditioner, body lotion, mouthwash\",\"I went grocery shopping with Emily, Andrew, Kayden, Carter. I bought some watermelons, clementines, guava juice, milk, and conditioner, body lotion, mouthwash\"\n22457,2016/08/29,I did weight lifting on 2016/08/29.,I did weight lifting on 2016/08/29.\n22458,2016/08/29,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n22459,2016/08/29,\"I had tacos for lunch with Nevaeh, Avery, Piper\",\"I had tacos for lunch with Nevaeh, Avery, Piper\"\n22460,2016/08/29,I prepare indian food for dinner.,I prepare indian food for dinner.\n22461,2016/08/29,I spent 42 talking to Hazel on various topics in the early evening.,I spent 42 talking to Hazel on various topics in the early evening.\n22462,2016/08/29,\"I spent 33 talking to Nora, Kinsley on various topics in the morning.\",\"I spent 33 talking to Nora, Kinsley on various topics in the morning.\"\n22463,2016/08/29,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n22464,2016/08/29,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n22465,2016/08/30,I did weight lifting on 2016/08/30.,I did weight lifting on 2016/08/30.\n22466,2016/08/30,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n22467,2016/08/30,I ate indian food for lunch.,I ate indian food for lunch.\n22468,2016/08/30,I ate sandwich for dinner.,I ate sandwich for dinner.\n22469,2016/08/30,\"I talked to Hazel, Kinsley, Lydia for 38 minutes in the early afternoon.\",\"I talked to Hazel, Kinsley, Lydia for 38 minutes in the early afternoon.\"\n22470,2016/08/30,\"I spent 32 talking to Olivia, Lydia, Claire on various topics in the late afternoon.\",\"I spent 32 talking to Olivia, Lydia, Claire on various topics in the late afternoon.\"\n22471,2016/08/30,\"I talked to Eva, Claire for 9 minutes in the early evening.\",\"I talked to Eva, Claire for 9 minutes in the early evening.\"\n22472,2016/08/30,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n22473,2016/08/30,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n22474,2016/08/31,I did biking on 2016/08/31.,I did biking on 2016/08/31.\n22475,2016/08/31,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n22476,2016/08/31,I ate steak for lunch.,I ate steak for lunch.\n22477,2016/08/31,I had dinner. I ate steak.,I had dinner. I ate steak.\n22478,2016/08/31,\"I spent 41 talking to Claire, Rylee on various topics in the late afternoon.\",\"I spent 41 talking to Claire, Rylee on various topics in the late afternoon.\"\n22479,2016/08/31,\"I spent 27 talking to Rylee, Claire on various topics during lunch hours.\",\"I spent 27 talking to Rylee, Claire on various topics during lunch hours.\"\n22480,2016/08/31,\"I talked to Piper, Lydia for 9 minutes during lunch hours.\",\"I talked to Piper, Lydia for 9 minutes during lunch hours.\"\n22481,2016/08/31,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n22482,2016/08/31,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n22483,2016/09/01,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n22484,2016/09/01,\"I had chinese food for lunch with Lydia, Rylee, Olivia, Claire, Nevaeh, Nora, Kinsley, Piper, Avery, Eva, Layla, Piper\",\"I had chinese food for lunch with Lydia, Rylee, Olivia, Claire, Nevaeh, Nora, Kinsley, Piper, Avery, Eva, Layla, Piper\"\n22485,2016/09/01,\"I had tacos for dinner with Eva, Kinsley, Rylee, Lydia, Olivia, Avery, Nevaeh, Piper, Nora, Piper\",\"I had tacos for dinner with Eva, Kinsley, Rylee, Lydia, Olivia, Avery, Nevaeh, Piper, Nora, Piper\"\n22486,2016/09/01,\"I spent 55 talking to Avery, Claire, Kinsley, Olivia on various topics during lunch hours.\",\"I spent 55 talking to Avery, Claire, Kinsley, Olivia on various topics during lunch hours.\"\n22487,2016/09/01,I spent 14 talking to Rylee on various topics in the early evening.,I spent 14 talking to Rylee on various topics in the early evening.\n22488,2016/09/01,\"I talked to Avery, Olivia for 11 minutes in the early evening.\",\"I talked to Avery, Olivia for 11 minutes in the early evening.\"\n22489,2016/09/01,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n22490,2016/09/01,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n22491,2016/09/02,I did weight lifting on 2016/09/02.,I did weight lifting on 2016/09/02.\n22492,2016/09/02,\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden\",\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden\"\n22493,2016/09/02,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n22494,2016/09/02,I prepare pasta for dinner.,I prepare pasta for dinner.\n22495,2016/09/02,\"I talked to Nevaeh, Kinsley, Piper for 14 minutes late in the evening.\",\"I talked to Nevaeh, Kinsley, Piper for 14 minutes late in the evening.\"\n22496,2016/09/02,I talked to Layla for 17 minutes late in the evening.,I talked to Layla for 17 minutes late in the evening.\n22497,2016/09/02,\"I spent 52 talking to Lydia, Layla, Nevaeh on various topics in the morning.\",\"I spent 52 talking to Lydia, Layla, Nevaeh on various topics in the morning.\"\n22498,2016/09/02,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n22499,2016/09/02,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n22500,2016/09/03,\"I bought some peaches, bananas, oranges, tea, coffee, chocolate milk, body lotion, toothbrush, paper towel, toilet paper online.\",\"I bought some peaches, bananas, oranges, tea, coffee, chocolate milk, body lotion, toothbrush, paper towel, toilet paper online.\"\n22501,2016/09/03,I did running on 2016/09/03.,I did running on 2016/09/03.\n22502,2016/09/03,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n22503,2016/09/03,I prepare tacos for lunch.,I prepare tacos for lunch.\n22504,2016/09/03,I had chinese food for dinner with Emily,I had chinese food for dinner with Emily\n22505,2016/09/03,\"I talked to Kinsley, Rylee, Piper, Nora for 24 minutes in the morning.\",\"I talked to Kinsley, Rylee, Piper, Nora for 24 minutes in the morning.\"\n22506,2016/09/03,\"I talked to Piper, Avery for 38 minutes during lunch hours.\",\"I talked to Piper, Avery for 38 minutes during lunch hours.\"\n22507,2016/09/03,\"I spent 44 talking to Kinsley, Avery, Rylee on various topics in the early evening.\",\"I spent 44 talking to Kinsley, Avery, Rylee on various topics in the early evening.\"\n22508,2016/09/03,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n22509,2016/09/03,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n22510,2016/09/04,I did hiking on 2016/09/04.,I did hiking on 2016/09/04.\n22511,2016/09/04,I ate cereals for breakfast.,I ate cereals for breakfast.\n22512,2016/09/04,\"I had indian food for lunch with Kayden, Carter, Emily\",\"I had indian food for lunch with Kayden, Carter, Emily\"\n22513,2016/09/04,\"I had dinner with Hazel, Claire, Nora, Olivia, Piper, Layla, Rylee, Nevaeh, Piper, Eva, Kinsley, Avery, Lydia. I ate sandwich.\",\"I had dinner with Hazel, Claire, Nora, Olivia, Piper, Layla, Rylee, Nevaeh, Piper, Eva, Kinsley, Avery, Lydia. I ate sandwich.\"\n22514,2016/09/04,\"I spent 15 talking to Olivia, Piper on various topics in the early evening.\",\"I spent 15 talking to Olivia, Piper on various topics in the early evening.\"\n22515,2016/09/04,I spent 34 talking to Avery on various topics in the morning.,I spent 34 talking to Avery on various topics in the morning.\n22516,2016/09/04,\"I talked to Lydia, Rylee, Piper, Nora for 10 minutes late in the evening.\",\"I talked to Lydia, Rylee, Piper, Nora for 10 minutes late in the evening.\"\n22517,2016/09/04,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n22518,2016/09/04,I spent 33 minutes watching a movie on TV today.,I spent 33 minutes watching a movie on TV today.\n22519,2016/09/05,I did HIIT on 2016/09/05.,I did HIIT on 2016/09/05.\n22520,2016/09/05,\"I had breakfast with Willow, Jackson, Benjamin, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Willow, Jackson, Benjamin, Avery. I ate peanut-butter-jam.\"\n22521,2016/09/05,\"I had chinese food for lunch with Emily, Carter, Kayden\",\"I had chinese food for lunch with Emily, Carter, Kayden\"\n22522,2016/09/05,\"I had dinner with Emily, Kayden, Andrew. I ate steak.\",\"I had dinner with Emily, Kayden, Andrew. I ate steak.\"\n22523,2016/09/05,\"I spent 21 talking to Piper, Nora on various topics in the early evening.\",\"I spent 21 talking to Piper, Nora on various topics in the early evening.\"\n22524,2016/09/05,\"I spent 54 talking to Piper, Kinsley, Lydia, Nora on various topics in the morning.\",\"I spent 54 talking to Piper, Kinsley, Lydia, Nora on various topics in the morning.\"\n22525,2016/09/05,\"I spent 54 talking to Kinsley, Nevaeh, Claire on various topics in the early afternoon.\",\"I spent 54 talking to Kinsley, Nevaeh, Claire on various topics in the early afternoon.\"\n22526,2016/09/05,\"I spent 25 talking to Nevaeh, Olivia on various topics during lunch hours.\",\"I spent 25 talking to Nevaeh, Olivia on various topics during lunch hours.\"\n22527,2016/09/05,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n22528,2016/09/05,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n22529,2016/09/06,I did swimming on 2016/09/06.,I did swimming on 2016/09/06.\n22530,2016/09/06,\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate eggs, sausages, and bread.\"\n22531,2016/09/06,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n22532,2016/09/06,\"I had tacos for dinner with Kayden, Carter, Andrew\",\"I had tacos for dinner with Kayden, Carter, Andrew\"\n22533,2016/09/06,\"I talked to Hazel, Claire for 23 minutes during lunch hours.\",\"I talked to Hazel, Claire for 23 minutes during lunch hours.\"\n22534,2016/09/06,I talked to Piper for 43 minutes during lunch hours.,I talked to Piper for 43 minutes during lunch hours.\n22535,2016/09/06,\"I talked to Piper, Kinsley, Nora, Claire for 33 minutes in the early evening.\",\"I talked to Piper, Kinsley, Nora, Claire for 33 minutes in the early evening.\"\n22536,2016/09/06,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n22537,2016/09/06,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n22538,2016/09/07,\"I bought some mangos, pineapples, chocolate milk, mango juice, soda, body lotion, conditioner online.\",\"I bought some mangos, pineapples, chocolate milk, mango juice, soda, body lotion, conditioner online.\"\n22539,2016/09/07,I did running on 2016/09/07.,I did running on 2016/09/07.\n22540,2016/09/07,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n22541,2016/09/07,\"I had pasta for lunch with Kayden, Carter, Emily\",\"I had pasta for lunch with Kayden, Carter, Emily\"\n22542,2016/09/07,\"I had dinner with Kayden, Emily, Andrew, Carter. I ate steak.\",\"I had dinner with Kayden, Emily, Andrew, Carter. I ate steak.\"\n22543,2016/09/07,\"I talked to Olivia, Nora, Hazel, Avery for 18 minutes in the late afternoon.\",\"I talked to Olivia, Nora, Hazel, Avery for 18 minutes in the late afternoon.\"\n22544,2016/09/07,\"I talked to Olivia, Layla, Avery for 41 minutes in the morning.\",\"I talked to Olivia, Layla, Avery for 41 minutes in the morning.\"\n22545,2016/09/07,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n22546,2016/09/07,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n22547,2016/09/08,I did hiking on 2016/09/08.,I did hiking on 2016/09/08.\n22548,2016/09/08,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n22549,2016/09/08,I had sandwich for lunch with Willow,I had sandwich for lunch with Willow\n22550,2016/09/08,I ate sushi for dinner.,I ate sushi for dinner.\n22551,2016/09/08,\"I spent 42 talking to Kinsley, Lydia on various topics late in the evening.\",\"I spent 42 talking to Kinsley, Lydia on various topics late in the evening.\"\n22552,2016/09/08,\"I spent 44 talking to Hazel, Nora on various topics late in the evening.\",\"I spent 44 talking to Hazel, Nora on various topics late in the evening.\"\n22553,2016/09/08,\"I spent 45 talking to Avery, Layla on various topics late in the evening.\",\"I spent 45 talking to Avery, Layla on various topics late in the evening.\"\n22554,2016/09/08,\"I talked to Nora, Claire for 12 minutes in the early afternoon.\",\"I talked to Nora, Claire for 12 minutes in the early afternoon.\"\n22555,2016/09/08,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n22556,2016/09/08,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n22557,2016/09/09,\"I went grocery shopping with Layla, Rylee, Hazel, Lydia, Eva, Nora. I bought some cherres, watermelons, raspberries, mandarins, chocolate milk, tea, milk, orange juice, and toilet paper, shaving cream, body lotion\",\"I went grocery shopping with Layla, Rylee, Hazel, Lydia, Eva, Nora. I bought some cherres, watermelons, raspberries, mandarins, chocolate milk, tea, milk, orange juice, and toilet paper, shaving cream, body lotion\"\n22558,2016/09/09,I did swimming on 2016/09/09.,I did swimming on 2016/09/09.\n22559,2016/09/09,\"I had breakfast with Andrew, Carter, Emily, Kayden. I ate toast and cheese.\",\"I had breakfast with Andrew, Carter, Emily, Kayden. I ate toast and cheese.\"\n22560,2016/09/09,\"I had steak for lunch with Emily, Carter\",\"I had steak for lunch with Emily, Carter\"\n22561,2016/09/09,\"I had indian food for dinner with Emily, Kayden, Carter, Andrew\",\"I had indian food for dinner with Emily, Kayden, Carter, Andrew\"\n22562,2016/09/09,\"I talked to Nevaeh, Piper, Eva for 42 minutes in the morning.\",\"I talked to Nevaeh, Piper, Eva for 42 minutes in the morning.\"\n22563,2016/09/09,\"I spent 42 talking to Avery, Piper, Nora, Layla on various topics during lunch hours.\",\"I spent 42 talking to Avery, Piper, Nora, Layla on various topics during lunch hours.\"\n22564,2016/09/09,\"I spent 16 talking to Eva, Piper, Kinsley, Layla on various topics in the early afternoon.\",\"I spent 16 talking to Eva, Piper, Kinsley, Layla on various topics in the early afternoon.\"\n22565,2016/09/09,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n22566,2016/09/09,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n22567,2016/09/10,\"I spent time meditation on 2016/09/10 with Hazel, Piper.\",\"I spent time meditation on 2016/09/10 with Hazel, Piper.\"\n22568,2016/09/10,I did swimming on 2016/09/10.,I did swimming on 2016/09/10.\n22569,2016/09/10,\"I had breakfast with Carter, Kayden. I ate pancakes.\",\"I had breakfast with Carter, Kayden. I ate pancakes.\"\n22570,2016/09/10,I ate a burger for lunch.,I ate a burger for lunch.\n22571,2016/09/10,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n22572,2016/09/10,I spent 27 talking to Nora on various topics in the early evening.,I spent 27 talking to Nora on various topics in the early evening.\n22573,2016/09/10,\"I spent 24 talking to Layla, Olivia, Hazel on various topics during lunch hours.\",\"I spent 24 talking to Layla, Olivia, Hazel on various topics during lunch hours.\"\n22574,2016/09/10,\"I spent 25 talking to Nora, Piper on various topics in the early evening.\",\"I spent 25 talking to Nora, Piper on various topics in the early evening.\"\n22575,2016/09/10,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n22576,2016/09/10,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n22577,2016/09/11,I did weight lifting on 2016/09/11.,I did weight lifting on 2016/09/11.\n22578,2016/09/11,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n22579,2016/09/11,I had lunch with Emily. I ate steak.,I had lunch with Emily. I ate steak.\n22580,2016/09/11,I prepare a burger for dinner.,I prepare a burger for dinner.\n22581,2016/09/11,I talked to Claire for 45 minutes in the early afternoon.,I talked to Claire for 45 minutes in the early afternoon.\n22582,2016/09/11,\"I spent 33 talking to Piper, Kinsley, Nevaeh, Hazel on various topics in the late afternoon.\",\"I spent 33 talking to Piper, Kinsley, Nevaeh, Hazel on various topics in the late afternoon.\"\n22583,2016/09/11,\"I talked to Hazel, Layla for 38 minutes in the late afternoon.\",\"I talked to Hazel, Layla for 38 minutes in the late afternoon.\"\n22584,2016/09/11,\"I talked to Avery, Lydia for 48 minutes in the morning.\",\"I talked to Avery, Lydia for 48 minutes in the morning.\"\n22585,2016/09/11,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n22586,2016/09/11,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n22587,2016/09/12,I did running on 2016/09/12.,I did running on 2016/09/12.\n22588,2016/09/12,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n22589,2016/09/12,I ate steak for lunch.,I ate steak for lunch.\n22590,2016/09/12,I had dinner with Emily. I ate a burger.,I had dinner with Emily. I ate a burger.\n22591,2016/09/12,\"I talked to Nevaeh, Eva, Hazel, Layla for 47 minutes in the early afternoon.\",\"I talked to Nevaeh, Eva, Hazel, Layla for 47 minutes in the early afternoon.\"\n22592,2016/09/12,\"I spent 42 talking to Olivia, Hazel, Claire, Lydia on various topics in the early evening.\",\"I spent 42 talking to Olivia, Hazel, Claire, Lydia on various topics in the early evening.\"\n22593,2016/09/12,\"I spent 36 talking to Nora, Avery on various topics in the early afternoon.\",\"I spent 36 talking to Nora, Avery on various topics in the early afternoon.\"\n22594,2016/09/12,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n22595,2016/09/12,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n22596,2016/09/13,I did biking on 2016/09/13.,I did biking on 2016/09/13.\n22597,2016/09/13,\"I had eggs, sausages, and bread for breakfast with Layla, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Hazel, Piper\",\"I had eggs, sausages, and bread for breakfast with Layla, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Hazel, Piper\"\n22598,2016/09/13,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n22599,2016/09/13,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n22600,2016/09/13,\"I spent 36 talking to Kinsley, Piper, Hazel on various topics in the early evening.\",\"I spent 36 talking to Kinsley, Piper, Hazel on various topics in the early evening.\"\n22601,2016/09/13,\"I talked to Claire, Piper, Piper, Nora for 27 minutes in the early evening.\",\"I talked to Claire, Piper, Piper, Nora for 27 minutes in the early evening.\"\n22602,2016/09/13,\"I talked to Nevaeh, Piper, Piper, Layla for 5 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Piper, Layla for 5 minutes in the early afternoon.\"\n22603,2016/09/13,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n22604,2016/09/13,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n22605,2016/09/14,I went on a date with Isla on 2016/09/14 at a coffee Shop,I went on a date with Isla on 2016/09/14 at a coffee Shop\n22606,2016/09/14,\"I went grocery shopping. I bought some bananas, nectarines, milk, guava juice, and mouthwash, body lotion\",\"I went grocery shopping. I bought some bananas, nectarines, milk, guava juice, and mouthwash, body lotion\"\n22607,2016/09/14,I did hiking on 2016/09/14.,I did hiking on 2016/09/14.\n22608,2016/09/14,\"I had breakfast with Nevaeh, Piper, Nora, Kinsley, Piper, Claire, Hazel, Eva. I ate pancakes.\",\"I had breakfast with Nevaeh, Piper, Nora, Kinsley, Piper, Claire, Hazel, Eva. I ate pancakes.\"\n22609,2016/09/14,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n22610,2016/09/14,\"I had chinese food for dinner with Carter, Kayden\",\"I had chinese food for dinner with Carter, Kayden\"\n22611,2016/09/14,\"I talked to Hazel, Piper, Kinsley, Nevaeh for 51 minutes in the late afternoon.\",\"I talked to Hazel, Piper, Kinsley, Nevaeh for 51 minutes in the late afternoon.\"\n22612,2016/09/14,\"I spent 21 talking to Hazel, Claire, Lydia on various topics in the early afternoon.\",\"I spent 21 talking to Hazel, Claire, Lydia on various topics in the early afternoon.\"\n22613,2016/09/14,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n22614,2016/09/14,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n22615,2016/09/15,I did biking on 2016/09/15.,I did biking on 2016/09/15.\n22616,2016/09/15,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n22617,2016/09/15,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n22618,2016/09/15,I ate sushi for dinner.,I ate sushi for dinner.\n22619,2016/09/15,\"I talked to Claire, Lydia, Eva, Layla for 47 minutes in the morning.\",\"I talked to Claire, Lydia, Eva, Layla for 47 minutes in the morning.\"\n22620,2016/09/15,\"I spent 30 talking to Eva, Claire, Rylee on various topics in the early afternoon.\",\"I spent 30 talking to Eva, Claire, Rylee on various topics in the early afternoon.\"\n22621,2016/09/15,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n22622,2016/09/15,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n22623,2016/09/16,I did running on 2016/09/16.,I did running on 2016/09/16.\n22624,2016/09/16,\"I had toast and cheese for breakfast with Avery, Benjamin, Willow\",\"I had toast and cheese for breakfast with Avery, Benjamin, Willow\"\n22625,2016/09/16,\"I had a burger for lunch with Avery, Claire, Lydia, Rylee, Olivia, Kinsley, Nora, Piper, Eva, Layla, Hazel, Piper, Nevaeh\",\"I had a burger for lunch with Avery, Claire, Lydia, Rylee, Olivia, Kinsley, Nora, Piper, Eva, Layla, Hazel, Piper, Nevaeh\"\n22626,2016/09/16,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n22627,2016/09/16,\"I spent 9 talking to Lydia, Rylee on various topics late in the evening.\",\"I spent 9 talking to Lydia, Rylee on various topics late in the evening.\"\n22628,2016/09/16,\"I talked to Piper, Nora, Hazel for 34 minutes in the early evening.\",\"I talked to Piper, Nora, Hazel for 34 minutes in the early evening.\"\n22629,2016/09/16,\"I spent 6 talking to Piper, Piper, Olivia, Hazel on various topics in the early evening.\",\"I spent 6 talking to Piper, Piper, Olivia, Hazel on various topics in the early evening.\"\n22630,2016/09/16,\"I spent 37 talking to Rylee, Kinsley, Avery on various topics during lunch hours.\",\"I spent 37 talking to Rylee, Kinsley, Avery on various topics during lunch hours.\"\n22631,2016/09/16,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n22632,2016/09/16,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n22633,2016/09/17,\"I had breakfast with Nora, Claire, Kinsley, Piper, Piper, Eva, Lydia. I ate pancakes.\",\"I had breakfast with Nora, Claire, Kinsley, Piper, Piper, Eva, Lydia. I ate pancakes.\"\n22634,2016/09/17,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n22635,2016/09/17,I ate pasta for dinner.,I ate pasta for dinner.\n22636,2016/09/17,\"I talked to Kinsley, Rylee for 13 minutes in the early afternoon.\",\"I talked to Kinsley, Rylee for 13 minutes in the early afternoon.\"\n22637,2016/09/17,\"I spent 52 talking to Avery, Rylee, Olivia, Kinsley on various topics in the early afternoon.\",\"I spent 52 talking to Avery, Rylee, Olivia, Kinsley on various topics in the early afternoon.\"\n22638,2016/09/17,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n22639,2016/09/17,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n22640,2016/09/18,I did weight lifting on 2016/09/18.,I did weight lifting on 2016/09/18.\n22641,2016/09/18,\"I had eggs, sausages, and bread for breakfast with Andrew\",\"I had eggs, sausages, and bread for breakfast with Andrew\"\n22642,2016/09/18,I ate steak for lunch.,I ate steak for lunch.\n22643,2016/09/18,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n22644,2016/09/18,\"I spent 36 talking to Avery, Layla, Piper, Kinsley on various topics during lunch hours.\",\"I spent 36 talking to Avery, Layla, Piper, Kinsley on various topics during lunch hours.\"\n22645,2016/09/18,I spent 45 talking to Layla on various topics late in the evening.,I spent 45 talking to Layla on various topics late in the evening.\n22646,2016/09/18,\"I spent 33 talking to Layla, Nevaeh on various topics in the early afternoon.\",\"I spent 33 talking to Layla, Nevaeh on various topics in the early afternoon.\"\n22647,2016/09/18,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n22648,2016/09/18,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n22649,2016/09/19,I did weight lifting on 2016/09/19.,I did weight lifting on 2016/09/19.\n22650,2016/09/19,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n22651,2016/09/19,I prepare a burger for lunch.,I prepare a burger for lunch.\n22652,2016/09/19,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n22653,2016/09/19,\"I spent 44 talking to Claire, Piper, Nora on various topics in the early evening.\",\"I spent 44 talking to Claire, Piper, Nora on various topics in the early evening.\"\n22654,2016/09/19,I talked to Olivia for 24 minutes in the morning.,I talked to Olivia for 24 minutes in the morning.\n22655,2016/09/19,\"I talked to Claire, Piper, Layla, Lydia for 40 minutes in the early evening.\",\"I talked to Claire, Piper, Layla, Lydia for 40 minutes in the early evening.\"\n22656,2016/09/19,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n22657,2016/09/19,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n22658,2016/09/20,I did biking on 2016/09/20.,I did biking on 2016/09/20.\n22659,2016/09/20,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n22660,2016/09/20,\"I had lunch with Jackson, Willow, Avery, Benjamin. I ate a burger.\",\"I had lunch with Jackson, Willow, Avery, Benjamin. I ate a burger.\"\n22661,2016/09/20,I prepare pasta for dinner.,I prepare pasta for dinner.\n22662,2016/09/20,\"I talked to Olivia, Nora, Lydia for 22 minutes in the early evening.\",\"I talked to Olivia, Nora, Lydia for 22 minutes in the early evening.\"\n22663,2016/09/20,\"I talked to Piper, Layla for 7 minutes in the early evening.\",\"I talked to Piper, Layla for 7 minutes in the early evening.\"\n22664,2016/09/20,\"I spent 31 talking to Kinsley, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 31 talking to Kinsley, Nevaeh, Piper on various topics in the early afternoon.\"\n22665,2016/09/20,I spent 16 talking to Piper on various topics in the early evening.,I spent 16 talking to Piper on various topics in the early evening.\n22666,2016/09/20,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n22667,2016/09/20,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n22668,2016/09/21,\"I bought some cherres, pears, bananas, milk, soda, mineral water, chocolate milk, mouth wash, body lotion, mouthwash online.\",\"I bought some cherres, pears, bananas, milk, soda, mineral water, chocolate milk, mouth wash, body lotion, mouthwash online.\"\n22669,2016/09/21,I did running on 2016/09/21.,I did running on 2016/09/21.\n22670,2016/09/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n22671,2016/09/21,I prepare tacos for lunch.,I prepare tacos for lunch.\n22672,2016/09/21,\"I had steak for dinner with Avery, Piper, Nevaeh\",\"I had steak for dinner with Avery, Piper, Nevaeh\"\n22673,2016/09/21,\"I talked to Kinsley, Lydia, Eva for 31 minutes during lunch hours.\",\"I talked to Kinsley, Lydia, Eva for 31 minutes during lunch hours.\"\n22674,2016/09/21,\"I talked to Avery, Nora, Eva, Hazel for 37 minutes late in the evening.\",\"I talked to Avery, Nora, Eva, Hazel for 37 minutes late in the evening.\"\n22675,2016/09/21,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n22676,2016/09/21,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n22677,2016/09/22,I spent some time learning a language on 2016/09/22.,I spent some time learning a language on 2016/09/22.\n22678,2016/09/22,I did biking on 2016/09/22.,I did biking on 2016/09/22.\n22679,2016/09/22,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n22680,2016/09/22,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n22681,2016/09/22,I ate a burger for dinner.,I ate a burger for dinner.\n22682,2016/09/22,I spent 47 talking to Avery on various topics late in the evening.,I spent 47 talking to Avery on various topics late in the evening.\n22683,2016/09/22,\"I talked to Lydia, Nevaeh, Kinsley for 26 minutes in the late afternoon.\",\"I talked to Lydia, Nevaeh, Kinsley for 26 minutes in the late afternoon.\"\n22684,2016/09/22,\"I spent 13 talking to Lydia, Nevaeh on various topics late in the evening.\",\"I spent 13 talking to Lydia, Nevaeh on various topics late in the evening.\"\n22685,2016/09/22,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n22686,2016/09/22,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n22687,2016/09/23,\"On 2016/09/23, I took Cooper on a date to a coffee Shop\",\"On 2016/09/23, I took Cooper on a date to a coffee Shop\"\n22688,2016/09/23,\"I had eggs, sausages, and bread for breakfast with Carter, Andrew\",\"I had eggs, sausages, and bread for breakfast with Carter, Andrew\"\n22689,2016/09/23,\"I had sushi for lunch with Carter, Emily, Andrew, Kayden\",\"I had sushi for lunch with Carter, Emily, Andrew, Kayden\"\n22690,2016/09/23,I ate a burger for dinner.,I ate a burger for dinner.\n22691,2016/09/23,\"I talked to Rylee, Nevaeh, Piper for 51 minutes in the late afternoon.\",\"I talked to Rylee, Nevaeh, Piper for 51 minutes in the late afternoon.\"\n22692,2016/09/23,\"I talked to Nevaeh, Hazel, Nora, Kinsley for 51 minutes in the early afternoon.\",\"I talked to Nevaeh, Hazel, Nora, Kinsley for 51 minutes in the early afternoon.\"\n22693,2016/09/23,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n22694,2016/09/23,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n22695,2016/09/24,I did HIIT on 2016/09/24.,I did HIIT on 2016/09/24.\n22696,2016/09/24,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n22697,2016/09/24,I prepare indian food for lunch.,I prepare indian food for lunch.\n22698,2016/09/24,I had dinner. I ate steak.,I had dinner. I ate steak.\n22699,2016/09/24,\"I spent 34 talking to Nevaeh, Olivia, Piper on various topics in the early evening.\",\"I spent 34 talking to Nevaeh, Olivia, Piper on various topics in the early evening.\"\n22700,2016/09/24,\"I talked to Piper, Nora, Claire for 24 minutes in the early afternoon.\",\"I talked to Piper, Nora, Claire for 24 minutes in the early afternoon.\"\n22701,2016/09/24,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n22702,2016/09/24,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n22703,2016/09/25,\"I went grocery shopping. I bought some strawberries, peaches, mineral water, guava juice, chocolate milk, mango juice, and mouth wash, mouthwash, conditioner\",\"I went grocery shopping. I bought some strawberries, peaches, mineral water, guava juice, chocolate milk, mango juice, and mouth wash, mouthwash, conditioner\"\n22704,2016/09/25,I did weight lifting on 2016/09/25.,I did weight lifting on 2016/09/25.\n22705,2016/09/25,\"I had breakfast with Rylee, Hazel, Piper, Layla, Kinsley, Lydia, Claire. I ate eggs, sausages, and bread.\",\"I had breakfast with Rylee, Hazel, Piper, Layla, Kinsley, Lydia, Claire. I ate eggs, sausages, and bread.\"\n22706,2016/09/25,\"I had tacos for lunch with Benjamin, Jackson\",\"I had tacos for lunch with Benjamin, Jackson\"\n22707,2016/09/25,\"I had indian food for dinner with Olivia, Claire, Layla, Piper\",\"I had indian food for dinner with Olivia, Claire, Layla, Piper\"\n22708,2016/09/25,I talked to Rylee for 18 minutes in the early evening.,I talked to Rylee for 18 minutes in the early evening.\n22709,2016/09/25,\"I spent 37 talking to Layla, Nora, Piper on various topics late in the evening.\",\"I spent 37 talking to Layla, Nora, Piper on various topics late in the evening.\"\n22710,2016/09/25,I talked to Eva for 33 minutes in the morning.,I talked to Eva for 33 minutes in the morning.\n22711,2016/09/25,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n22712,2016/09/25,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n22713,2016/09/26,\"I went grocery shopping. I bought some nectarines, peaches, tea, and toothpaste\",\"I went grocery shopping. I bought some nectarines, peaches, tea, and toothpaste\"\n22714,2016/09/26,I did biking on 2016/09/26.,I did biking on 2016/09/26.\n22715,2016/09/26,\"I had breakfast with Avery, Rylee, Hazel, Lydia, Claire, Nevaeh, Olivia, Piper, Eva, Layla, Piper. I ate cereals.\",\"I had breakfast with Avery, Rylee, Hazel, Lydia, Claire, Nevaeh, Olivia, Piper, Eva, Layla, Piper. I ate cereals.\"\n22716,2016/09/26,I ate tacos for lunch.,I ate tacos for lunch.\n22717,2016/09/26,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n22718,2016/09/26,I spent 23 talking to Kinsley on various topics in the early evening.,I spent 23 talking to Kinsley on various topics in the early evening.\n22719,2016/09/26,\"I spent 8 talking to Hazel, Layla, Lydia on various topics in the early evening.\",\"I spent 8 talking to Hazel, Layla, Lydia on various topics in the early evening.\"\n22720,2016/09/26,\"I talked to Avery, Lydia, Eva, Kinsley for 25 minutes in the early afternoon.\",\"I talked to Avery, Lydia, Eva, Kinsley for 25 minutes in the early afternoon.\"\n22721,2016/09/26,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n22722,2016/09/26,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n22723,2016/09/27,I spent time working out on 2016/09/27 with Emily.,I spent time working out on 2016/09/27 with Emily.\n22724,2016/09/27,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n22725,2016/09/27,\"I had sandwich for lunch with Kayden, Emily, Carter, Andrew\",\"I had sandwich for lunch with Kayden, Emily, Carter, Andrew\"\n22726,2016/09/27,\"I had fish and chips for dinner with Kayden, Emily, Carter\",\"I had fish and chips for dinner with Kayden, Emily, Carter\"\n22727,2016/09/27,\"I spent 47 talking to Layla, Piper on various topics in the early evening.\",\"I spent 47 talking to Layla, Piper on various topics in the early evening.\"\n22728,2016/09/27,\"I spent 9 talking to Rylee, Nevaeh, Kinsley, Lydia on various topics in the early evening.\",\"I spent 9 talking to Rylee, Nevaeh, Kinsley, Lydia on various topics in the early evening.\"\n22729,2016/09/27,\"I spent 11 talking to Lydia, Olivia on various topics in the early afternoon.\",\"I spent 11 talking to Lydia, Olivia on various topics in the early afternoon.\"\n22730,2016/09/27,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n22731,2016/09/27,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n22732,2016/09/28,\"I entertained Rylee, Lydia at my place on 2016/09/28 and bake birthday cupcakes with white wine buttercream\",\"I entertained Rylee, Lydia at my place on 2016/09/28 and bake birthday cupcakes with white wine buttercream\"\n22733,2016/09/28,I did swimming on 2016/09/28.,I did swimming on 2016/09/28.\n22734,2016/09/28,\"I had toast and cheese for breakfast with Avery, Nevaeh, Hazel, Kinsley, Lydia, Olivia, Nora\",\"I had toast and cheese for breakfast with Avery, Nevaeh, Hazel, Kinsley, Lydia, Olivia, Nora\"\n22735,2016/09/28,\"I had fish and chips for lunch with Nora, Claire\",\"I had fish and chips for lunch with Nora, Claire\"\n22736,2016/09/28,\"I had chinese food for dinner with Benjamin, Avery\",\"I had chinese food for dinner with Benjamin, Avery\"\n22737,2016/09/28,\"I spent 37 talking to Nevaeh, Kinsley, Olivia on various topics in the morning.\",\"I spent 37 talking to Nevaeh, Kinsley, Olivia on various topics in the morning.\"\n22738,2016/09/28,\"I talked to Nora, Piper, Rylee for 34 minutes in the early afternoon.\",\"I talked to Nora, Piper, Rylee for 34 minutes in the early afternoon.\"\n22739,2016/09/28,\"I spent 27 talking to Lydia, Piper on various topics late in the evening.\",\"I spent 27 talking to Lydia, Piper on various topics late in the evening.\"\n22740,2016/09/28,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n22741,2016/09/28,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n22742,2016/09/29,I did HIIT on 2016/09/29.,I did HIIT on 2016/09/29.\n22743,2016/09/29,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n22744,2016/09/29,I ate tacos for lunch.,I ate tacos for lunch.\n22745,2016/09/29,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n22746,2016/09/29,\"I talked to Claire, Hazel, Kinsley, Rylee for 26 minutes in the late afternoon.\",\"I talked to Claire, Hazel, Kinsley, Rylee for 26 minutes in the late afternoon.\"\n22747,2016/09/29,I talked to Rylee for 22 minutes late in the evening.,I talked to Rylee for 22 minutes late in the evening.\n22748,2016/09/29,\"I talked to Nora, Lydia for 10 minutes late in the evening.\",\"I talked to Nora, Lydia for 10 minutes late in the evening.\"\n22749,2016/09/29,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n22750,2016/09/29,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n22751,2016/09/30,I did swimming on 2016/09/30.,I did swimming on 2016/09/30.\n22752,2016/09/30,\"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\"\n22753,2016/09/30,\"I had lunch with Andrew, Emily, Kayden, Carter. I ate chinese food.\",\"I had lunch with Andrew, Emily, Kayden, Carter. I ate chinese food.\"\n22754,2016/09/30,\"I had dinner with Nora, Piper, Claire, Kinsley, Lydia, Avery, Eva. I ate sandwich.\",\"I had dinner with Nora, Piper, Claire, Kinsley, Lydia, Avery, Eva. I ate sandwich.\"\n22755,2016/09/30,I talked to Layla for 16 minutes late in the evening.,I talked to Layla for 16 minutes late in the evening.\n22756,2016/09/30,\"I talked to Claire, Eva, Piper, Nora for 12 minutes in the early evening.\",\"I talked to Claire, Eva, Piper, Nora for 12 minutes in the early evening.\"\n22757,2016/09/30,\"I talked to Olivia, Piper, Nevaeh for 21 minutes in the morning.\",\"I talked to Olivia, Piper, Nevaeh for 21 minutes in the morning.\"\n22758,2016/09/30,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n22759,2016/09/30,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n22760,2016/10/01,I did running on 2016/10/01.,I did running on 2016/10/01.\n22761,2016/10/01,I had breakfast with Carter. I ate pancakes.,I had breakfast with Carter. I ate pancakes.\n22762,2016/10/01,I had lunch with Hazel. I ate steak.,I had lunch with Hazel. I ate steak.\n22763,2016/10/01,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n22764,2016/10/01,\"I talked to Piper, Avery, Olivia, Claire for 35 minutes in the late afternoon.\",\"I talked to Piper, Avery, Olivia, Claire for 35 minutes in the late afternoon.\"\n22765,2016/10/01,I talked to Eva for 54 minutes in the late afternoon.,I talked to Eva for 54 minutes in the late afternoon.\n22766,2016/10/01,\"I talked to Layla, Nora for 25 minutes in the late afternoon.\",\"I talked to Layla, Nora for 25 minutes in the late afternoon.\"\n22767,2016/10/01,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n22768,2016/10/01,I spent 34 minutes watching a tv series on TV today.,I spent 34 minutes watching a tv series on TV today.\n22769,2016/10/02,\"I spent time meditation on 2016/10/02 with Rylee, Lydia.\",\"I spent time meditation on 2016/10/02 with Rylee, Lydia.\"\n22770,2016/10/02,\"I went grocery shopping with Olivia, Lydia, Kinsley, Piper, Rylee, Piper, Nora, Claire, Hazel. I bought some apples, bananas, apricots, orange juice, and toothbrush, conditioner, paper towel\",\"I went grocery shopping with Olivia, Lydia, Kinsley, Piper, Rylee, Piper, Nora, Claire, Hazel. I bought some apples, bananas, apricots, orange juice, and toothbrush, conditioner, paper towel\"\n22771,2016/10/02,I did biking on 2016/10/02.,I did biking on 2016/10/02.\n22772,2016/10/02,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n22773,2016/10/02,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n22774,2016/10/02,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n22775,2016/10/02,\"I spent 19 talking to Layla, Kinsley on various topics late in the evening.\",\"I spent 19 talking to Layla, Kinsley on various topics late in the evening.\"\n22776,2016/10/02,\"I talked to Piper, Avery for 48 minutes in the early evening.\",\"I talked to Piper, Avery for 48 minutes in the early evening.\"\n22777,2016/10/02,I spent 48 talking to Layla on various topics late in the evening.,I spent 48 talking to Layla on various topics late in the evening.\n22778,2016/10/02,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n22779,2016/10/02,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n22780,2016/10/03,I did hiking on 2016/10/03.,I did hiking on 2016/10/03.\n22781,2016/10/03,\"I had toast and cheese for breakfast with Rylee, Layla, Eva, Piper, Avery, Claire, Kinsley, Piper, Hazel, Nora, Lydia, Nevaeh, Olivia\",\"I had toast and cheese for breakfast with Rylee, Layla, Eva, Piper, Avery, Claire, Kinsley, Piper, Hazel, Nora, Lydia, Nevaeh, Olivia\"\n22782,2016/10/03,\"I had chinese food for lunch with Avery, Willow\",\"I had chinese food for lunch with Avery, Willow\"\n22783,2016/10/03,I ate steak for dinner.,I ate steak for dinner.\n22784,2016/10/03,\"I spent 41 talking to Layla, Nora, Lydia on various topics in the late afternoon.\",\"I spent 41 talking to Layla, Nora, Lydia on various topics in the late afternoon.\"\n22785,2016/10/03,\"I talked to Olivia, Nevaeh, Nora for 30 minutes during lunch hours.\",\"I talked to Olivia, Nevaeh, Nora for 30 minutes during lunch hours.\"\n22786,2016/10/03,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n22787,2016/10/03,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n22788,2016/10/04,I did swimming on 2016/10/04.,I did swimming on 2016/10/04.\n22789,2016/10/04,\"I had peanut-butter-jam for breakfast with Andrew, Kayden\",\"I had peanut-butter-jam for breakfast with Andrew, Kayden\"\n22790,2016/10/04,\"I had chinese food for lunch with Layla, Piper, Avery, Hazel, Olivia, Eva, Rylee\",\"I had chinese food for lunch with Layla, Piper, Avery, Hazel, Olivia, Eva, Rylee\"\n22791,2016/10/04,\"I had dinner with Carter, Andrew, Emily, Kayden. I ate indian food.\",\"I had dinner with Carter, Andrew, Emily, Kayden. I ate indian food.\"\n22792,2016/10/04,\"I spent 45 talking to Olivia, Rylee, Piper, Kinsley on various topics in the morning.\",\"I spent 45 talking to Olivia, Rylee, Piper, Kinsley on various topics in the morning.\"\n22793,2016/10/04,\"I spent 21 talking to Nevaeh, Kinsley on various topics in the early afternoon.\",\"I spent 21 talking to Nevaeh, Kinsley on various topics in the early afternoon.\"\n22794,2016/10/04,\"I talked to Avery, Rylee, Nora for 31 minutes during lunch hours.\",\"I talked to Avery, Rylee, Nora for 31 minutes during lunch hours.\"\n22795,2016/10/04,\"I spent 12 talking to Claire, Layla on various topics in the late afternoon.\",\"I spent 12 talking to Claire, Layla on various topics in the late afternoon.\"\n22796,2016/10/04,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n22797,2016/10/04,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n22798,2016/10/05,\"I bought some clementines, pineapples, pears, pineapple juice, mango juice, tea, shaving cream, toothbrush, facial wash, conditioner online.\",\"I bought some clementines, pineapples, pears, pineapple juice, mango juice, tea, shaving cream, toothbrush, facial wash, conditioner online.\"\n22799,2016/10/05,I did swimming on 2016/10/05.,I did swimming on 2016/10/05.\n22800,2016/10/05,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n22801,2016/10/05,\"I had lunch with Emily, Andrew, Carter, Kayden. I ate a burger.\",\"I had lunch with Emily, Andrew, Carter, Kayden. I ate a burger.\"\n22802,2016/10/05,\"I had dinner with Rylee, Lydia, Hazel, Piper, Eva, Kinsley, Piper, Claire, Nevaeh, Olivia, Avery. I ate a burger.\",\"I had dinner with Rylee, Lydia, Hazel, Piper, Eva, Kinsley, Piper, Claire, Nevaeh, Olivia, Avery. I ate a burger.\"\n22803,2016/10/05,\"I talked to Lydia, Eva, Kinsley for 19 minutes in the late afternoon.\",\"I talked to Lydia, Eva, Kinsley for 19 minutes in the late afternoon.\"\n22804,2016/10/05,\"I talked to Eva, Piper for 41 minutes in the early evening.\",\"I talked to Eva, Piper for 41 minutes in the early evening.\"\n22805,2016/10/05,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n22806,2016/10/05,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n22807,2016/10/06,I did weight lifting on 2016/10/06.,I did weight lifting on 2016/10/06.\n22808,2016/10/06,I had peanut-butter-jam for breakfast with Emily,I had peanut-butter-jam for breakfast with Emily\n22809,2016/10/06,I ate sandwich for lunch.,I ate sandwich for lunch.\n22810,2016/10/06,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n22811,2016/10/06,\"I spent 32 talking to Nevaeh, Rylee, Eva, Claire on various topics during lunch hours.\",\"I spent 32 talking to Nevaeh, Rylee, Eva, Claire on various topics during lunch hours.\"\n22812,2016/10/06,\"I spent 18 talking to Piper, Eva, Lydia, Nevaeh on various topics in the late afternoon.\",\"I spent 18 talking to Piper, Eva, Lydia, Nevaeh on various topics in the late afternoon.\"\n22813,2016/10/06,I spent 51 talking to Kinsley on various topics during lunch hours.,I spent 51 talking to Kinsley on various topics during lunch hours.\n22814,2016/10/06,\"I talked to Piper, Lydia, Piper for 25 minutes in the early afternoon.\",\"I talked to Piper, Lydia, Piper for 25 minutes in the early afternoon.\"\n22815,2016/10/06,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n22816,2016/10/06,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n22817,2016/10/07,\"I had pancakes for breakfast with Emily, Carter\",\"I had pancakes for breakfast with Emily, Carter\"\n22818,2016/10/07,\"I had lunch with Jackson, Avery, Willow. I ate fish and chips.\",\"I had lunch with Jackson, Avery, Willow. I ate fish and chips.\"\n22819,2016/10/07,\"I had dinner with Carter, Emily, Andrew. I ate pasta.\",\"I had dinner with Carter, Emily, Andrew. I ate pasta.\"\n22820,2016/10/07,\"I talked to Layla, Kinsley, Olivia, Nevaeh for 37 minutes in the early evening.\",\"I talked to Layla, Kinsley, Olivia, Nevaeh for 37 minutes in the early evening.\"\n22821,2016/10/07,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n22822,2016/10/07,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n22823,2016/10/08,I did hiking on 2016/10/08.,I did hiking on 2016/10/08.\n22824,2016/10/08,\"I had oatmeal for breakfast with Emily, Carter, Andrew, Kayden\",\"I had oatmeal for breakfast with Emily, Carter, Andrew, Kayden\"\n22825,2016/10/08,I ate a burger for lunch.,I ate a burger for lunch.\n22826,2016/10/08,\"I had dinner with Carter, Emily, Andrew. I ate sandwich.\",\"I had dinner with Carter, Emily, Andrew. I ate sandwich.\"\n22827,2016/10/08,I spent 44 talking to Rylee on various topics late in the evening.,I spent 44 talking to Rylee on various topics late in the evening.\n22828,2016/10/08,\"I talked to Nevaeh, Piper for 13 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper for 13 minutes in the late afternoon.\"\n22829,2016/10/08,\"I spent 46 talking to Avery, Rylee, Lydia, Hazel on various topics in the early afternoon.\",\"I spent 46 talking to Avery, Rylee, Lydia, Hazel on various topics in the early afternoon.\"\n22830,2016/10/08,\"I talked to Nevaeh, Piper, Avery for 23 minutes during lunch hours.\",\"I talked to Nevaeh, Piper, Avery for 23 minutes during lunch hours.\"\n22831,2016/10/08,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n22832,2016/10/08,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n22833,2016/10/09,\"I went grocery shopping. I bought some cherres, raspberries, watermelons, milk, guava juice, chocolate milk, and facial wash, toothpaste\",\"I went grocery shopping. I bought some cherres, raspberries, watermelons, milk, guava juice, chocolate milk, and facial wash, toothpaste\"\n22834,2016/10/09,I did weight lifting on 2016/10/09.,I did weight lifting on 2016/10/09.\n22835,2016/10/09,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n22836,2016/10/09,\"I had steak for lunch with Kayden, Carter, Emily, Andrew\",\"I had steak for lunch with Kayden, Carter, Emily, Andrew\"\n22837,2016/10/09,I ate chinese food for dinner.,I ate chinese food for dinner.\n22838,2016/10/09,\"I spent 32 talking to Claire, Kinsley, Avery on various topics in the morning.\",\"I spent 32 talking to Claire, Kinsley, Avery on various topics in the morning.\"\n22839,2016/10/09,\"I spent 47 talking to Hazel, Nora, Nevaeh, Eva on various topics late in the evening.\",\"I spent 47 talking to Hazel, Nora, Nevaeh, Eva on various topics late in the evening.\"\n22840,2016/10/09,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n22841,2016/10/09,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n22842,2016/10/10,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n22843,2016/10/10,\"I had lunch with Rylee, Piper, Nevaeh, Olivia, Nora, Piper, Eva, Hazel, Layla, Avery. I ate tacos.\",\"I had lunch with Rylee, Piper, Nevaeh, Olivia, Nora, Piper, Eva, Hazel, Layla, Avery. I ate tacos.\"\n22844,2016/10/10,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n22845,2016/10/10,I talked to Layla for 42 minutes in the morning.,I talked to Layla for 42 minutes in the morning.\n22846,2016/10/10,\"I talked to Eva, Nevaeh, Piper for 46 minutes in the morning.\",\"I talked to Eva, Nevaeh, Piper for 46 minutes in the morning.\"\n22847,2016/10/10,\"I talked to Nora, Piper, Piper, Claire for 5 minutes in the early evening.\",\"I talked to Nora, Piper, Piper, Claire for 5 minutes in the early evening.\"\n22848,2016/10/10,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n22849,2016/10/10,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n22850,2016/10/11,\"On 2016/10/11, I took Christophe on a date to a restaurant\",\"On 2016/10/11, I took Christophe on a date to a restaurant\"\n22851,2016/10/11,I spent some time gardening on 2016/10/11.,I spent some time gardening on 2016/10/11.\n22852,2016/10/11,\"I went grocery shopping. I bought some clementines, nectarines, blackberries, apple juice, coffee, and mouth wash, mouthwash\",\"I went grocery shopping. I bought some clementines, nectarines, blackberries, apple juice, coffee, and mouth wash, mouthwash\"\n22853,2016/10/11,I did biking on 2016/10/11.,I did biking on 2016/10/11.\n22854,2016/10/11,\"I had oatmeal for breakfast with Layla, Hazel\",\"I had oatmeal for breakfast with Layla, Hazel\"\n22855,2016/10/11,I ate pasta for lunch.,I ate pasta for lunch.\n22856,2016/10/11,\"I had dinner with Kayden, Emily, Carter, Andrew. I ate pasta.\",\"I had dinner with Kayden, Emily, Carter, Andrew. I ate pasta.\"\n22857,2016/10/11,\"I spent 54 talking to Rylee, Kinsley, Hazel, Layla on various topics in the late afternoon.\",\"I spent 54 talking to Rylee, Kinsley, Hazel, Layla on various topics in the late afternoon.\"\n22858,2016/10/11,\"I talked to Avery, Nora, Kinsley for 54 minutes during lunch hours.\",\"I talked to Avery, Nora, Kinsley for 54 minutes during lunch hours.\"\n22859,2016/10/11,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n22860,2016/10/11,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n22861,2016/10/12,I did weight lifting on 2016/10/12.,I did weight lifting on 2016/10/12.\n22862,2016/10/12,\"I had breakfast with Layla, Nevaeh, Hazel, Lydia, Claire, Nora, Piper, Eva, Piper, Avery, Rylee. I ate peanut-butter-jam.\",\"I had breakfast with Layla, Nevaeh, Hazel, Lydia, Claire, Nora, Piper, Eva, Piper, Avery, Rylee. I ate peanut-butter-jam.\"\n22863,2016/10/12,I had a burger for lunch with Andrew,I had a burger for lunch with Andrew\n22864,2016/10/12,\"I had dinner with Piper, Rylee, Layla, Lydia, Nora, Olivia, Nevaeh, Claire, Kinsley. I ate tacos.\",\"I had dinner with Piper, Rylee, Layla, Lydia, Nora, Olivia, Nevaeh, Claire, Kinsley. I ate tacos.\"\n22865,2016/10/12,I talked to Claire for 20 minutes in the early afternoon.,I talked to Claire for 20 minutes in the early afternoon.\n22866,2016/10/12,I spent 15 talking to Piper on various topics in the morning.,I spent 15 talking to Piper on various topics in the morning.\n22867,2016/10/12,\"I spent 40 talking to Hazel, Lydia, Kinsley on various topics in the early evening.\",\"I spent 40 talking to Hazel, Lydia, Kinsley on various topics in the early evening.\"\n22868,2016/10/12,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n22869,2016/10/12,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n22870,2016/10/13,I did hiking on 2016/10/13.,I did hiking on 2016/10/13.\n22871,2016/10/13,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n22872,2016/10/13,\"I had lunch with Layla, Rylee. I ate indian food.\",\"I had lunch with Layla, Rylee. I ate indian food.\"\n22873,2016/10/13,I ate pasta for dinner.,I ate pasta for dinner.\n22874,2016/10/13,I spent 44 talking to Eva on various topics late in the evening.,I spent 44 talking to Eva on various topics late in the evening.\n22875,2016/10/13,\"I spent 16 talking to Layla, Lydia, Olivia on various topics in the morning.\",\"I spent 16 talking to Layla, Lydia, Olivia on various topics in the morning.\"\n22876,2016/10/13,\"I spent 28 talking to Avery, Olivia, Eva on various topics in the early evening.\",\"I spent 28 talking to Avery, Olivia, Eva on various topics in the early evening.\"\n22877,2016/10/13,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n22878,2016/10/13,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n22879,2016/10/14,I did running on 2016/10/14.,I did running on 2016/10/14.\n22880,2016/10/14,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n22881,2016/10/14,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n22882,2016/10/14,I had dinner with Carter. I ate sandwich.,I had dinner with Carter. I ate sandwich.\n22883,2016/10/14,\"I talked to Avery, Olivia, Layla for 5 minutes late in the evening.\",\"I talked to Avery, Olivia, Layla for 5 minutes late in the evening.\"\n22884,2016/10/14,\"I spent 17 talking to Hazel, Nevaeh, Piper on various topics late in the evening.\",\"I spent 17 talking to Hazel, Nevaeh, Piper on various topics late in the evening.\"\n22885,2016/10/14,\"I talked to Claire, Avery for 15 minutes late in the evening.\",\"I talked to Claire, Avery for 15 minutes late in the evening.\"\n22886,2016/10/14,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n22887,2016/10/14,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n22888,2016/10/15,\"I went grocery shopping. I bought some clementines, strawberries, chocolate milk, soda, sports drinks, and shampoo\",\"I went grocery shopping. I bought some clementines, strawberries, chocolate milk, soda, sports drinks, and shampoo\"\n22889,2016/10/15,I did biking on 2016/10/15.,I did biking on 2016/10/15.\n22890,2016/10/15,\"I had breakfast with Carter, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Emily. I ate peanut-butter-jam.\"\n22891,2016/10/15,I ate indian food for lunch.,I ate indian food for lunch.\n22892,2016/10/15,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n22893,2016/10/15,\"I talked to Lydia, Nevaeh, Nora for 40 minutes in the early evening.\",\"I talked to Lydia, Nevaeh, Nora for 40 minutes in the early evening.\"\n22894,2016/10/15,\"I talked to Rylee, Layla, Nora, Lydia for 13 minutes in the early afternoon.\",\"I talked to Rylee, Layla, Nora, Lydia for 13 minutes in the early afternoon.\"\n22895,2016/10/15,\"I talked to Claire, Eva, Nevaeh for 26 minutes in the late afternoon.\",\"I talked to Claire, Eva, Nevaeh for 26 minutes in the late afternoon.\"\n22896,2016/10/15,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n22897,2016/10/15,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n22898,2016/10/16,I did swimming on 2016/10/16.,I did swimming on 2016/10/16.\n22899,2016/10/16,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n22900,2016/10/16,\"I had lunch with Andrew, Kayden. I ate pasta.\",\"I had lunch with Andrew, Kayden. I ate pasta.\"\n22901,2016/10/16,\"I had fish and chips for dinner with Emily, Andrew, Kayden\",\"I had fish and chips for dinner with Emily, Andrew, Kayden\"\n22902,2016/10/16,\"I spent 43 talking to Piper, Kinsley on various topics in the morning.\",\"I spent 43 talking to Piper, Kinsley on various topics in the morning.\"\n22903,2016/10/16,\"I spent 49 talking to Nevaeh, Avery on various topics in the late afternoon.\",\"I spent 49 talking to Nevaeh, Avery on various topics in the late afternoon.\"\n22904,2016/10/16,I talked to Kinsley for 21 minutes in the early evening.,I talked to Kinsley for 21 minutes in the early evening.\n22905,2016/10/16,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n22906,2016/10/16,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n22907,2016/10/17,I went on a date with Sophia on 2016/10/17 at a restaurant,I went on a date with Sophia on 2016/10/17 at a restaurant\n22908,2016/10/17,I did HIIT on 2016/10/17.,I did HIIT on 2016/10/17.\n22909,2016/10/17,\"I had pancakes for breakfast with Claire, Olivia, Kinsley, Nora, Eva, Lydia, Rylee, Nevaeh, Piper, Layla, Avery\",\"I had pancakes for breakfast with Claire, Olivia, Kinsley, Nora, Eva, Lydia, Rylee, Nevaeh, Piper, Layla, Avery\"\n22910,2016/10/17,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n22911,2016/10/17,I prepare steak for dinner.,I prepare steak for dinner.\n22912,2016/10/17,\"I talked to Nora, Claire, Nevaeh for 37 minutes during lunch hours.\",\"I talked to Nora, Claire, Nevaeh for 37 minutes during lunch hours.\"\n22913,2016/10/17,\"I spent 36 talking to Nevaeh, Hazel on various topics in the late afternoon.\",\"I spent 36 talking to Nevaeh, Hazel on various topics in the late afternoon.\"\n22914,2016/10/17,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n22915,2016/10/17,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n22916,2016/10/18,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n22917,2016/10/18,I prepare pasta for lunch.,I prepare pasta for lunch.\n22918,2016/10/18,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n22919,2016/10/18,\"I talked to Lydia, Hazel for 32 minutes late in the evening.\",\"I talked to Lydia, Hazel for 32 minutes late in the evening.\"\n22920,2016/10/18,\"I talked to Olivia, Claire, Kinsley for 31 minutes in the early afternoon.\",\"I talked to Olivia, Claire, Kinsley for 31 minutes in the early afternoon.\"\n22921,2016/10/18,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n22922,2016/10/18,I spent 43 minutes watching news on TV today.,I spent 43 minutes watching news on TV today.\n22923,2016/10/19,\"I went grocery shopping. I bought some guava, pears, raspberries, soda, guava juice, tea, chocolate milk, and shaving cream, mouthwash, toilet paper\",\"I went grocery shopping. I bought some guava, pears, raspberries, soda, guava juice, tea, chocolate milk, and shaving cream, mouthwash, toilet paper\"\n22924,2016/10/19,I did weight lifting on 2016/10/19.,I did weight lifting on 2016/10/19.\n22925,2016/10/19,I ate cereals for breakfast.,I ate cereals for breakfast.\n22926,2016/10/19,I ate chinese food for lunch.,I ate chinese food for lunch.\n22927,2016/10/19,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n22928,2016/10/19,I spent 17 talking to Nevaeh on various topics in the early evening.,I spent 17 talking to Nevaeh on various topics in the early evening.\n22929,2016/10/19,\"I spent 14 talking to Avery, Hazel, Olivia on various topics late in the evening.\",\"I spent 14 talking to Avery, Hazel, Olivia on various topics late in the evening.\"\n22930,2016/10/19,\"I talked to Eva, Lydia for 27 minutes in the morning.\",\"I talked to Eva, Lydia for 27 minutes in the morning.\"\n22931,2016/10/19,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n22932,2016/10/19,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n22933,2016/10/20,\"I spent time gardening on 2016/10/20 with Layla, Hazel, Kinsley.\",\"I spent time gardening on 2016/10/20 with Layla, Hazel, Kinsley.\"\n22934,2016/10/20,I did running on 2016/10/20.,I did running on 2016/10/20.\n22935,2016/10/20,I had breakfast with Rylee. I ate peanut-butter-jam.,I had breakfast with Rylee. I ate peanut-butter-jam.\n22936,2016/10/20,\"I had lunch with Nevaeh, Layla, Avery, Hazel, Lydia, Piper, Nora, Eva, Olivia. I ate sushi.\",\"I had lunch with Nevaeh, Layla, Avery, Hazel, Lydia, Piper, Nora, Eva, Olivia. I ate sushi.\"\n22937,2016/10/20,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n22938,2016/10/20,\"I spent 34 talking to Piper, Nevaeh, Rylee on various topics during lunch hours.\",\"I spent 34 talking to Piper, Nevaeh, Rylee on various topics during lunch hours.\"\n22939,2016/10/20,\"I talked to Piper, Eva, Piper, Lydia for 28 minutes in the early evening.\",\"I talked to Piper, Eva, Piper, Lydia for 28 minutes in the early evening.\"\n22940,2016/10/20,I spent 38 talking to Layla on various topics in the early evening.,I spent 38 talking to Layla on various topics in the early evening.\n22941,2016/10/20,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n22942,2016/10/20,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n22943,2016/10/21,I did weight lifting on 2016/10/21.,I did weight lifting on 2016/10/21.\n22944,2016/10/21,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n22945,2016/10/21,I prepare indian food for lunch.,I prepare indian food for lunch.\n22946,2016/10/21,I had indian food for dinner with Emily,I had indian food for dinner with Emily\n22947,2016/10/21,\"I talked to Claire, Lydia, Nevaeh for 35 minutes in the early afternoon.\",\"I talked to Claire, Lydia, Nevaeh for 35 minutes in the early afternoon.\"\n22948,2016/10/21,I spent 34 talking to Nevaeh on various topics late in the evening.,I spent 34 talking to Nevaeh on various topics late in the evening.\n22949,2016/10/21,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n22950,2016/10/21,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n22951,2016/10/22,\"I spent time yoga on 2016/10/22 with Piper, Avery.\",\"I spent time yoga on 2016/10/22 with Piper, Avery.\"\n22952,2016/10/22,I did weight lifting on 2016/10/22.,I did weight lifting on 2016/10/22.\n22953,2016/10/22,\"I had breakfast with Avery, Jackson. I ate cereals.\",\"I had breakfast with Avery, Jackson. I ate cereals.\"\n22954,2016/10/22,I ate pasta for lunch.,I ate pasta for lunch.\n22955,2016/10/22,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n22956,2016/10/22,\"I talked to Rylee, Eva for 29 minutes in the early evening.\",\"I talked to Rylee, Eva for 29 minutes in the early evening.\"\n22957,2016/10/22,\"I talked to Rylee, Kinsley for 41 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley for 41 minutes in the early afternoon.\"\n22958,2016/10/22,\"I spent 30 talking to Layla, Rylee on various topics late in the evening.\",\"I spent 30 talking to Layla, Rylee on various topics late in the evening.\"\n22959,2016/10/22,\"I spent 33 talking to Avery, Eva, Rylee on various topics during lunch hours.\",\"I spent 33 talking to Avery, Eva, Rylee on various topics during lunch hours.\"\n22960,2016/10/22,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n22961,2016/10/22,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n22962,2016/10/23,I did weight lifting on 2016/10/23.,I did weight lifting on 2016/10/23.\n22963,2016/10/23,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n22964,2016/10/23,I prepare indian food for lunch.,I prepare indian food for lunch.\n22965,2016/10/23,I ate steak for dinner.,I ate steak for dinner.\n22966,2016/10/23,\"I spent 42 talking to Piper, Avery, Nevaeh, Rylee on various topics in the late afternoon.\",\"I spent 42 talking to Piper, Avery, Nevaeh, Rylee on various topics in the late afternoon.\"\n22967,2016/10/23,\"I talked to Claire, Piper for 6 minutes late in the evening.\",\"I talked to Claire, Piper for 6 minutes late in the evening.\"\n22968,2016/10/23,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n22969,2016/10/23,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n22970,2016/10/24,I did swimming on 2016/10/24.,I did swimming on 2016/10/24.\n22971,2016/10/24,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n22972,2016/10/24,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n22973,2016/10/24,\"I had dinner with Avery, Jackson, Benjamin. I ate chinese food.\",\"I had dinner with Avery, Jackson, Benjamin. I ate chinese food.\"\n22974,2016/10/24,\"I spent 35 talking to Claire, Layla on various topics in the morning.\",\"I spent 35 talking to Claire, Layla on various topics in the morning.\"\n22975,2016/10/24,I spent 20 talking to Avery on various topics in the morning.,I spent 20 talking to Avery on various topics in the morning.\n22976,2016/10/24,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n22977,2016/10/24,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n22978,2016/10/25,I did biking on 2016/10/25.,I did biking on 2016/10/25.\n22979,2016/10/25,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n22980,2016/10/25,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n22981,2016/10/25,I ate tacos for dinner.,I ate tacos for dinner.\n22982,2016/10/25,\"I spent 29 talking to Rylee, Piper, Olivia on various topics in the early afternoon.\",\"I spent 29 talking to Rylee, Piper, Olivia on various topics in the early afternoon.\"\n22983,2016/10/25,I talked to Olivia for 8 minutes in the late afternoon.,I talked to Olivia for 8 minutes in the late afternoon.\n22984,2016/10/25,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n22985,2016/10/25,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n22986,2016/10/26,\"I bought some mangos, sports drinks, coffee, mineral water, tea, toilet paper, facial wash, toothbrush, toothpaste online.\",\"I bought some mangos, sports drinks, coffee, mineral water, tea, toilet paper, facial wash, toothbrush, toothpaste online.\"\n22987,2016/10/26,I did swimming on 2016/10/26.,I did swimming on 2016/10/26.\n22988,2016/10/26,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n22989,2016/10/26,I prepare indian food for lunch.,I prepare indian food for lunch.\n22990,2016/10/26,\"I had indian food for dinner with Carter, Emily, Andrew, Kayden\",\"I had indian food for dinner with Carter, Emily, Andrew, Kayden\"\n22991,2016/10/26,I talked to Nevaeh for 11 minutes in the morning.,I talked to Nevaeh for 11 minutes in the morning.\n22992,2016/10/26,\"I talked to Lydia, Rylee for 5 minutes in the early afternoon.\",\"I talked to Lydia, Rylee for 5 minutes in the early afternoon.\"\n22993,2016/10/26,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n22994,2016/10/26,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n22995,2016/10/27,I did weight lifting on 2016/10/27.,I did weight lifting on 2016/10/27.\n22996,2016/10/27,I had toast and cheese for breakfast with Avery,I had toast and cheese for breakfast with Avery\n22997,2016/10/27,I had lunch with Andrew. I ate tacos.,I had lunch with Andrew. I ate tacos.\n22998,2016/10/27,\"I had dinner with Olivia, Avery, Hazel, Nevaeh, Eva. I ate fish and chips.\",\"I had dinner with Olivia, Avery, Hazel, Nevaeh, Eva. I ate fish and chips.\"\n22999,2016/10/27,\"I talked to Rylee, Hazel for 46 minutes in the morning.\",\"I talked to Rylee, Hazel for 46 minutes in the morning.\"\n23000,2016/10/27,\"I spent 30 talking to Hazel, Piper on various topics late in the evening.\",\"I spent 30 talking to Hazel, Piper on various topics late in the evening.\"\n23001,2016/10/27,\"I spent 19 talking to Rylee, Kinsley, Layla, Hazel on various topics in the morning.\",\"I spent 19 talking to Rylee, Kinsley, Layla, Hazel on various topics in the morning.\"\n23002,2016/10/27,\"I talked to Rylee, Piper, Hazel for 21 minutes during lunch hours.\",\"I talked to Rylee, Piper, Hazel for 21 minutes during lunch hours.\"\n23003,2016/10/27,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n23004,2016/10/27,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n23005,2016/10/28,I did swimming on 2016/10/28.,I did swimming on 2016/10/28.\n23006,2016/10/28,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n23007,2016/10/28,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n23008,2016/10/28,\"I had dinner with Avery, Willow, Jackson. I ate indian food.\",\"I had dinner with Avery, Willow, Jackson. I ate indian food.\"\n23009,2016/10/28,\"I talked to Avery, Lydia, Hazel for 21 minutes in the morning.\",\"I talked to Avery, Lydia, Hazel for 21 minutes in the morning.\"\n23010,2016/10/28,I spent 48 talking to Piper on various topics in the late afternoon.,I spent 48 talking to Piper on various topics in the late afternoon.\n23011,2016/10/28,I spent 40 talking to Eva on various topics late in the evening.,I spent 40 talking to Eva on various topics late in the evening.\n23012,2016/10/28,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n23013,2016/10/28,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n23014,2016/10/29,\"I spent time working out on 2016/10/29 with Willow, Jackson.\",\"I spent time working out on 2016/10/29 with Willow, Jackson.\"\n23015,2016/10/29,I did weight lifting on 2016/10/29.,I did weight lifting on 2016/10/29.\n23016,2016/10/29,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n23017,2016/10/29,I prepare a burger for lunch.,I prepare a burger for lunch.\n23018,2016/10/29,I prepare sushi for dinner.,I prepare sushi for dinner.\n23019,2016/10/29,\"I spent 53 talking to Kinsley, Piper, Piper on various topics during lunch hours.\",\"I spent 53 talking to Kinsley, Piper, Piper on various topics during lunch hours.\"\n23020,2016/10/29,\"I talked to Avery, Hazel, Piper for 15 minutes in the late afternoon.\",\"I talked to Avery, Hazel, Piper for 15 minutes in the late afternoon.\"\n23021,2016/10/29,\"I spent 28 talking to Hazel, Layla on various topics during lunch hours.\",\"I spent 28 talking to Hazel, Layla on various topics during lunch hours.\"\n23022,2016/10/29,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n23023,2016/10/29,I watched a tv series for 30 minutes on TV today.,I watched a tv series for 30 minutes on TV today.\n23024,2016/10/30,I did swimming on 2016/10/30.,I did swimming on 2016/10/30.\n23025,2016/10/30,\"I had toast and cheese for breakfast with Kinsley, Olivia, Nora, Hazel, Claire, Eva, Lydia, Piper, Layla, Nevaeh\",\"I had toast and cheese for breakfast with Kinsley, Olivia, Nora, Hazel, Claire, Eva, Lydia, Piper, Layla, Nevaeh\"\n23026,2016/10/30,\"I had indian food for lunch with Olivia, Claire, Piper, Hazel, Nora\",\"I had indian food for lunch with Olivia, Claire, Piper, Hazel, Nora\"\n23027,2016/10/30,\"I had dinner with Willow, Jackson. I ate sandwich.\",\"I had dinner with Willow, Jackson. I ate sandwich.\"\n23028,2016/10/30,\"I talked to Piper, Claire, Avery, Layla for 39 minutes late in the evening.\",\"I talked to Piper, Claire, Avery, Layla for 39 minutes late in the evening.\"\n23029,2016/10/30,\"I talked to Olivia, Nora, Layla, Avery for 7 minutes in the morning.\",\"I talked to Olivia, Nora, Layla, Avery for 7 minutes in the morning.\"\n23030,2016/10/30,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n23031,2016/10/30,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n23032,2016/10/31,I did hiking on 2016/10/31.,I did hiking on 2016/10/31.\n23033,2016/10/31,\"I had oatmeal for breakfast with Kayden, Carter, Emily\",\"I had oatmeal for breakfast with Kayden, Carter, Emily\"\n23034,2016/10/31,I prepare sushi for lunch.,I prepare sushi for lunch.\n23035,2016/10/31,\"I had sandwich for dinner with Emily, Kayden, Andrew, Carter\",\"I had sandwich for dinner with Emily, Kayden, Andrew, Carter\"\n23036,2016/10/31,\"I spent 55 talking to Piper, Kinsley, Nora on various topics during lunch hours.\",\"I spent 55 talking to Piper, Kinsley, Nora on various topics during lunch hours.\"\n23037,2016/10/31,I spent 36 talking to Nora on various topics in the morning.,I spent 36 talking to Nora on various topics in the morning.\n23038,2016/10/31,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n23039,2016/10/31,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n23040,2016/11/01,I did weight lifting on 2016/11/01.,I did weight lifting on 2016/11/01.\n23041,2016/11/01,\"I had breakfast with Carter, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Emily. I ate eggs, sausages, and bread.\"\n23042,2016/11/01,\"I had steak for lunch with Kayden, Carter, Emily\",\"I had steak for lunch with Kayden, Carter, Emily\"\n23043,2016/11/01,\"I had indian food for dinner with Kayden, Carter, Andrew\",\"I had indian food for dinner with Kayden, Carter, Andrew\"\n23044,2016/11/01,\"I spent 49 talking to Lydia, Piper, Claire, Kinsley on various topics in the early afternoon.\",\"I spent 49 talking to Lydia, Piper, Claire, Kinsley on various topics in the early afternoon.\"\n23045,2016/11/01,\"I spent 51 talking to Nevaeh, Eva, Lydia, Layla on various topics in the late afternoon.\",\"I spent 51 talking to Nevaeh, Eva, Lydia, Layla on various topics in the late afternoon.\"\n23046,2016/11/01,I spent 55 talking to Avery on various topics in the morning.,I spent 55 talking to Avery on various topics in the morning.\n23047,2016/11/01,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n23048,2016/11/01,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n23049,2016/11/02,\"On 2016/11/02, I took Elijah on a date to a restaurant\",\"On 2016/11/02, I took Elijah on a date to a restaurant\"\n23050,2016/11/02,\"I bought some bananas, nectarines, peaches, guava, chocolate milk, milk, coffee, mineral water, facial wash, paper towel, mouth wash, toothpaste from the grocery store. I saw Willow at the grocery store.\",\"I bought some bananas, nectarines, peaches, guava, chocolate milk, milk, coffee, mineral water, facial wash, paper towel, mouth wash, toothpaste from the grocery store. I saw Willow at the grocery store.\"\n23051,2016/11/02,\"I had eggs, sausages, and bread for breakfast with Andrew\",\"I had eggs, sausages, and bread for breakfast with Andrew\"\n23052,2016/11/02,I had lunch with Kayden. I ate sandwich.,I had lunch with Kayden. I ate sandwich.\n23053,2016/11/02,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n23054,2016/11/02,\"I spent 14 talking to Piper, Nora, Lydia, Piper on various topics in the morning.\",\"I spent 14 talking to Piper, Nora, Lydia, Piper on various topics in the morning.\"\n23055,2016/11/02,\"I talked to Hazel, Rylee for 48 minutes in the morning.\",\"I talked to Hazel, Rylee for 48 minutes in the morning.\"\n23056,2016/11/02,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n23057,2016/11/02,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n23058,2016/11/03,\"I had pancakes for breakfast with Piper, Layla, Hazel, Claire, Rylee, Olivia, Eva, Piper, Nora\",\"I had pancakes for breakfast with Piper, Layla, Hazel, Claire, Rylee, Olivia, Eva, Piper, Nora\"\n23059,2016/11/03,I ate sandwich for lunch.,I ate sandwich for lunch.\n23060,2016/11/03,I ate indian food for dinner.,I ate indian food for dinner.\n23061,2016/11/03,I spent 10 talking to Piper on various topics in the early afternoon.,I spent 10 talking to Piper on various topics in the early afternoon.\n23062,2016/11/03,I spent 38 talking to Kinsley on various topics in the morning.,I spent 38 talking to Kinsley on various topics in the morning.\n23063,2016/11/03,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n23064,2016/11/03,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n23065,2016/11/04,I really enjoyed meditation on 2016/11/04,I really enjoyed meditation on 2016/11/04\n23066,2016/11/04,I did biking on 2016/11/04.,I did biking on 2016/11/04.\n23067,2016/11/04,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n23068,2016/11/04,I prepare tacos for lunch.,I prepare tacos for lunch.\n23069,2016/11/04,I ate indian food for dinner.,I ate indian food for dinner.\n23070,2016/11/04,\"I spent 37 talking to Piper, Hazel on various topics late in the evening.\",\"I spent 37 talking to Piper, Hazel on various topics late in the evening.\"\n23071,2016/11/04,I spent 26 talking to Eva on various topics in the early evening.,I spent 26 talking to Eva on various topics in the early evening.\n23072,2016/11/04,\"I spent 48 talking to Rylee, Avery, Olivia on various topics in the late afternoon.\",\"I spent 48 talking to Rylee, Avery, Olivia on various topics in the late afternoon.\"\n23073,2016/11/04,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n23074,2016/11/04,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n23075,2016/11/05,I did hiking on 2016/11/05.,I did hiking on 2016/11/05.\n23076,2016/11/05,\"I had breakfast with Benjamin, Jackson. I ate toast and cheese.\",\"I had breakfast with Benjamin, Jackson. I ate toast and cheese.\"\n23077,2016/11/05,I ate chinese food for lunch.,I ate chinese food for lunch.\n23078,2016/11/05,\"I had dinner with Hazel, Olivia, Layla, Piper, Kinsley, Claire, Eva. I ate a burger.\",\"I had dinner with Hazel, Olivia, Layla, Piper, Kinsley, Claire, Eva. I ate a burger.\"\n23079,2016/11/05,I talked to Olivia for 30 minutes in the late afternoon.,I talked to Olivia for 30 minutes in the late afternoon.\n23080,2016/11/05,I spent 46 talking to Avery on various topics during lunch hours.,I spent 46 talking to Avery on various topics during lunch hours.\n23081,2016/11/05,\"I spent 30 talking to Hazel, Avery, Nora on various topics in the early afternoon.\",\"I spent 30 talking to Hazel, Avery, Nora on various topics in the early afternoon.\"\n23082,2016/11/05,I spent 31 talking to Lydia on various topics in the morning.,I spent 31 talking to Lydia on various topics in the morning.\n23083,2016/11/05,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n23084,2016/11/05,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n23085,2016/11/06,I went on a date with Mia on 2016/11/06 at a park,I went on a date with Mia on 2016/11/06 at a park\n23086,2016/11/06,\"I went grocery shopping with Carter. I bought some bananas, peaches, milk, soda, guava juice, pineapple juice, and toothpaste, body lotion\",\"I went grocery shopping with Carter. I bought some bananas, peaches, milk, soda, guava juice, pineapple juice, and toothpaste, body lotion\"\n23087,2016/11/06,I did biking on 2016/11/06.,I did biking on 2016/11/06.\n23088,2016/11/06,\"I had breakfast with Carter, Andrew. I ate oatmeal.\",\"I had breakfast with Carter, Andrew. I ate oatmeal.\"\n23089,2016/11/06,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n23090,2016/11/06,\"I had dinner with Emily, Andrew, Carter. I ate tacos.\",\"I had dinner with Emily, Andrew, Carter. I ate tacos.\"\n23091,2016/11/06,\"I spent 27 talking to Olivia, Avery, Piper on various topics in the morning.\",\"I spent 27 talking to Olivia, Avery, Piper on various topics in the morning.\"\n23092,2016/11/06,\"I spent 31 talking to Olivia, Eva, Hazel on various topics late in the evening.\",\"I spent 31 talking to Olivia, Eva, Hazel on various topics late in the evening.\"\n23093,2016/11/06,I talked to Avery for 24 minutes in the morning.,I talked to Avery for 24 minutes in the morning.\n23094,2016/11/06,\"I talked to Layla, Rylee, Piper, Eva for 21 minutes late in the evening.\",\"I talked to Layla, Rylee, Piper, Eva for 21 minutes late in the evening.\"\n23095,2016/11/06,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n23096,2016/11/06,I spent 49 minutes watching a documentary on TV today.,I spent 49 minutes watching a documentary on TV today.\n23097,2016/11/07,\"I entertained Kayden, Andrew, Emily, Carter at my place on 2016/11/07 and bake vegan sugar cookies, giant cinnamon roll\",\"I entertained Kayden, Andrew, Emily, Carter at my place on 2016/11/07 and bake vegan sugar cookies, giant cinnamon roll\"\n23098,2016/11/07,\"I bought some strawberries, mineral water, coffee, apple juice, facial wash, shampoo from the grocery store. I saw Emily, Carter at the grocery store.\",\"I bought some strawberries, mineral water, coffee, apple juice, facial wash, shampoo from the grocery store. I saw Emily, Carter at the grocery store.\"\n23099,2016/11/07,I did hiking on 2016/11/07.,I did hiking on 2016/11/07.\n23100,2016/11/07,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n23101,2016/11/07,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n23102,2016/11/07,I ate sushi for dinner.,I ate sushi for dinner.\n23103,2016/11/07,\"I talked to Layla, Piper for 44 minutes late in the evening.\",\"I talked to Layla, Piper for 44 minutes late in the evening.\"\n23104,2016/11/07,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n23105,2016/11/07,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n23106,2016/11/08,I did running on 2016/11/08.,I did running on 2016/11/08.\n23107,2016/11/08,I had toast and cheese for breakfast with Emily,I had toast and cheese for breakfast with Emily\n23108,2016/11/08,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n23109,2016/11/08,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n23110,2016/11/08,\"I spent 33 talking to Olivia, Hazel, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 33 talking to Olivia, Hazel, Nevaeh, Piper on various topics in the early afternoon.\"\n23111,2016/11/08,\"I spent 11 talking to Piper, Claire on various topics late in the evening.\",\"I spent 11 talking to Piper, Claire on various topics late in the evening.\"\n23112,2016/11/08,I spent 38 talking to Rylee on various topics in the morning.,I spent 38 talking to Rylee on various topics in the morning.\n23113,2016/11/08,I spent 19 talking to Nora on various topics in the early afternoon.,I spent 19 talking to Nora on various topics in the early afternoon.\n23114,2016/11/08,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n23115,2016/11/08,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n23116,2016/11/09,I did hiking on 2016/11/09.,I did hiking on 2016/11/09.\n23117,2016/11/09,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n23118,2016/11/09,\"I had lunch with Avery, Willow. I ate sushi.\",\"I had lunch with Avery, Willow. I ate sushi.\"\n23119,2016/11/09,\"I had sandwich for dinner with Carter, Kayden, Andrew, Emily\",\"I had sandwich for dinner with Carter, Kayden, Andrew, Emily\"\n23120,2016/11/09,\"I spent 37 talking to Nevaeh, Kinsley on various topics in the early evening.\",\"I spent 37 talking to Nevaeh, Kinsley on various topics in the early evening.\"\n23121,2016/11/09,\"I spent 41 talking to Layla, Piper, Piper, Hazel on various topics in the morning.\",\"I spent 41 talking to Layla, Piper, Piper, Hazel on various topics in the morning.\"\n23122,2016/11/09,\"I talked to Olivia, Kinsley for 32 minutes during lunch hours.\",\"I talked to Olivia, Kinsley for 32 minutes during lunch hours.\"\n23123,2016/11/09,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n23124,2016/11/09,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n23125,2016/11/10,I did hiking on 2016/11/10.,I did hiking on 2016/11/10.\n23126,2016/11/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n23127,2016/11/10,\"I had lunch with Rylee, Lydia, Nevaeh. I ate indian food.\",\"I had lunch with Rylee, Lydia, Nevaeh. I ate indian food.\"\n23128,2016/11/10,I had dinner. I ate steak.,I had dinner. I ate steak.\n23129,2016/11/10,\"I talked to Rylee, Olivia for 34 minutes in the morning.\",\"I talked to Rylee, Olivia for 34 minutes in the morning.\"\n23130,2016/11/10,\"I talked to Nora, Kinsley, Claire for 25 minutes in the late afternoon.\",\"I talked to Nora, Kinsley, Claire for 25 minutes in the late afternoon.\"\n23131,2016/11/10,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n23132,2016/11/10,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n23133,2016/11/11,I did weight lifting on 2016/11/11.,I did weight lifting on 2016/11/11.\n23134,2016/11/11,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n23135,2016/11/11,I prepare pasta for lunch.,I prepare pasta for lunch.\n23136,2016/11/11,I had dinner. I ate steak.,I had dinner. I ate steak.\n23137,2016/11/11,\"I spent 32 talking to Lydia, Olivia, Rylee on various topics in the late afternoon.\",\"I spent 32 talking to Lydia, Olivia, Rylee on various topics in the late afternoon.\"\n23138,2016/11/11,\"I spent 23 talking to Lydia, Layla on various topics during lunch hours.\",\"I spent 23 talking to Lydia, Layla on various topics during lunch hours.\"\n23139,2016/11/11,\"I spent 42 talking to Olivia, Claire, Nevaeh, Eva on various topics in the late afternoon.\",\"I spent 42 talking to Olivia, Claire, Nevaeh, Eva on various topics in the late afternoon.\"\n23140,2016/11/11,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n23141,2016/11/11,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n23142,2016/11/12,\"On 2016/11/12, I took Hannah on a date to a park\",\"On 2016/11/12, I took Hannah on a date to a park\"\n23143,2016/11/12,I really enjoyed yoga on 2016/11/12,I really enjoyed yoga on 2016/11/12\n23144,2016/11/12,I did weight lifting on 2016/11/12.,I did weight lifting on 2016/11/12.\n23145,2016/11/12,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n23146,2016/11/12,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n23147,2016/11/12,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n23148,2016/11/12,\"I talked to Kinsley, Piper, Avery for 7 minutes in the morning.\",\"I talked to Kinsley, Piper, Avery for 7 minutes in the morning.\"\n23149,2016/11/12,\"I talked to Hazel, Claire, Layla, Lydia for 12 minutes late in the evening.\",\"I talked to Hazel, Claire, Layla, Lydia for 12 minutes late in the evening.\"\n23150,2016/11/12,\"I spent 13 talking to Kinsley, Nora, Rylee on various topics in the early afternoon.\",\"I spent 13 talking to Kinsley, Nora, Rylee on various topics in the early afternoon.\"\n23151,2016/11/12,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n23152,2016/11/12,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n23153,2016/11/13,\"I went grocery shopping with Andrew. I bought some pineapples, peaches, cherres, guava juice, and body lotion, toilet paper\",\"I went grocery shopping with Andrew. I bought some pineapples, peaches, cherres, guava juice, and body lotion, toilet paper\"\n23154,2016/11/13,I did HIIT on 2016/11/13.,I did HIIT on 2016/11/13.\n23155,2016/11/13,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n23156,2016/11/13,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n23157,2016/11/13,I had dinner with Emily. I ate tacos.,I had dinner with Emily. I ate tacos.\n23158,2016/11/13,I talked to Claire for 13 minutes in the morning.,I talked to Claire for 13 minutes in the morning.\n23159,2016/11/13,I talked to Claire for 14 minutes during lunch hours.,I talked to Claire for 14 minutes during lunch hours.\n23160,2016/11/13,\"I talked to Eva, Piper, Claire for 34 minutes in the early afternoon.\",\"I talked to Eva, Piper, Claire for 34 minutes in the early afternoon.\"\n23161,2016/11/13,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n23162,2016/11/13,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n23163,2016/11/14,I did biking on 2016/11/14.,I did biking on 2016/11/14.\n23164,2016/11/14,\"I had pancakes for breakfast with Andrew, Emily, Carter, Kayden\",\"I had pancakes for breakfast with Andrew, Emily, Carter, Kayden\"\n23165,2016/11/14,\"I had pasta for lunch with Emily, Kayden, Andrew, Carter\",\"I had pasta for lunch with Emily, Kayden, Andrew, Carter\"\n23166,2016/11/14,\"I had dinner with Willow, Jackson, Avery, Benjamin. I ate pasta.\",\"I had dinner with Willow, Jackson, Avery, Benjamin. I ate pasta.\"\n23167,2016/11/14,\"I spent 17 talking to Olivia, Rylee, Piper on various topics late in the evening.\",\"I spent 17 talking to Olivia, Rylee, Piper on various topics late in the evening.\"\n23168,2016/11/14,\"I talked to Kinsley, Avery for 28 minutes late in the evening.\",\"I talked to Kinsley, Avery for 28 minutes late in the evening.\"\n23169,2016/11/14,\"I talked to Kinsley, Piper, Lydia for 47 minutes in the early afternoon.\",\"I talked to Kinsley, Piper, Lydia for 47 minutes in the early afternoon.\"\n23170,2016/11/14,\"I spent 26 talking to Lydia, Rylee, Piper, Piper on various topics during lunch hours.\",\"I spent 26 talking to Lydia, Rylee, Piper, Piper on various topics during lunch hours.\"\n23171,2016/11/14,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n23172,2016/11/14,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n23173,2016/11/15,\"I bought some pears, bananas, pineapple juice, coffee, toothbrush online.\",\"I bought some pears, bananas, pineapple juice, coffee, toothbrush online.\"\n23174,2016/11/15,I did weight lifting on 2016/11/15.,I did weight lifting on 2016/11/15.\n23175,2016/11/15,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n23176,2016/11/15,I prepare pasta for lunch.,I prepare pasta for lunch.\n23177,2016/11/15,I ate a burger for dinner.,I ate a burger for dinner.\n23178,2016/11/15,I talked to Eva for 15 minutes in the morning.,I talked to Eva for 15 minutes in the morning.\n23179,2016/11/15,\"I spent 40 talking to Olivia, Eva on various topics in the late afternoon.\",\"I spent 40 talking to Olivia, Eva on various topics in the late afternoon.\"\n23180,2016/11/15,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n23181,2016/11/15,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n23182,2016/11/16,I did running on 2016/11/16.,I did running on 2016/11/16.\n23183,2016/11/16,\"I had toast and cheese for breakfast with Olivia, Piper, Rylee, Piper, Kinsley, Layla, Nevaeh, Claire\",\"I had toast and cheese for breakfast with Olivia, Piper, Rylee, Piper, Kinsley, Layla, Nevaeh, Claire\"\n23184,2016/11/16,\"I had steak for lunch with Carter, Andrew, Kayden\",\"I had steak for lunch with Carter, Andrew, Kayden\"\n23185,2016/11/16,\"I had indian food for dinner with Willow, Avery, Benjamin\",\"I had indian food for dinner with Willow, Avery, Benjamin\"\n23186,2016/11/16,\"I talked to Layla, Eva for 16 minutes in the late afternoon.\",\"I talked to Layla, Eva for 16 minutes in the late afternoon.\"\n23187,2016/11/16,\"I talked to Piper, Olivia for 34 minutes during lunch hours.\",\"I talked to Piper, Olivia for 34 minutes during lunch hours.\"\n23188,2016/11/16,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n23189,2016/11/16,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n23190,2016/11/17,\"On 2016/11/17, I took Wesley on a date to a park\",\"On 2016/11/17, I took Wesley on a date to a park\"\n23191,2016/11/17,I did running on 2016/11/17.,I did running on 2016/11/17.\n23192,2016/11/17,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n23193,2016/11/17,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n23194,2016/11/17,\"I had tacos for dinner with Layla, Nora, Eva, Piper, Avery, Claire, Olivia, Hazel\",\"I had tacos for dinner with Layla, Nora, Eva, Piper, Avery, Claire, Olivia, Hazel\"\n23195,2016/11/17,\"I talked to Rylee, Piper, Nevaeh for 38 minutes late in the evening.\",\"I talked to Rylee, Piper, Nevaeh for 38 minutes late in the evening.\"\n23196,2016/11/17,\"I spent 9 talking to Layla, Hazel on various topics late in the evening.\",\"I spent 9 talking to Layla, Hazel on various topics late in the evening.\"\n23197,2016/11/17,I talked to Piper for 20 minutes during lunch hours.,I talked to Piper for 20 minutes during lunch hours.\n23198,2016/11/17,I spent 39 talking to Piper on various topics in the early evening.,I spent 39 talking to Piper on various topics in the early evening.\n23199,2016/11/17,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n23200,2016/11/17,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n23201,2016/11/18,I did weight lifting on 2016/11/18.,I did weight lifting on 2016/11/18.\n23202,2016/11/18,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n23203,2016/11/18,\"I had sandwich for lunch with Andrew, Emily\",\"I had sandwich for lunch with Andrew, Emily\"\n23204,2016/11/18,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n23205,2016/11/18,I spent 25 talking to Layla on various topics in the early afternoon.,I spent 25 talking to Layla on various topics in the early afternoon.\n23206,2016/11/18,\"I spent 35 talking to Piper, Piper on various topics late in the evening.\",\"I spent 35 talking to Piper, Piper on various topics late in the evening.\"\n23207,2016/11/18,\"I talked to Piper, Layla, Eva for 29 minutes in the early evening.\",\"I talked to Piper, Layla, Eva for 29 minutes in the early evening.\"\n23208,2016/11/18,\"I talked to Piper, Hazel, Rylee for 35 minutes in the morning.\",\"I talked to Piper, Hazel, Rylee for 35 minutes in the morning.\"\n23209,2016/11/18,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n23210,2016/11/18,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n23211,2016/11/19,I did weight lifting on 2016/11/19.,I did weight lifting on 2016/11/19.\n23212,2016/11/19,\"I had breakfast with Eva, Kinsley, Layla. I ate oatmeal.\",\"I had breakfast with Eva, Kinsley, Layla. I ate oatmeal.\"\n23213,2016/11/19,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n23214,2016/11/19,\"I had steak for dinner with Lydia, Kinsley, Nevaeh, Claire, Rylee, Eva, Olivia, Nora, Avery, Piper, Hazel, Layla\",\"I had steak for dinner with Lydia, Kinsley, Nevaeh, Claire, Rylee, Eva, Olivia, Nora, Avery, Piper, Hazel, Layla\"\n23215,2016/11/19,I talked to Lydia for 15 minutes in the late afternoon.,I talked to Lydia for 15 minutes in the late afternoon.\n23216,2016/11/19,\"I spent 18 talking to Eva, Avery on various topics during lunch hours.\",\"I spent 18 talking to Eva, Avery on various topics during lunch hours.\"\n23217,2016/11/19,I spent 23 talking to Nevaeh on various topics in the early afternoon.,I spent 23 talking to Nevaeh on various topics in the early afternoon.\n23218,2016/11/19,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n23219,2016/11/19,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n23220,2016/11/20,I went on a date with Jack on 2016/11/20 at a coffee Shop,I went on a date with Jack on 2016/11/20 at a coffee Shop\n23221,2016/11/20,I did HIIT on 2016/11/20.,I did HIIT on 2016/11/20.\n23222,2016/11/20,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n23223,2016/11/20,I had sushi for lunch with Kayden,I had sushi for lunch with Kayden\n23224,2016/11/20,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n23225,2016/11/20,\"I talked to Kinsley, Eva for 30 minutes late in the evening.\",\"I talked to Kinsley, Eva for 30 minutes late in the evening.\"\n23226,2016/11/20,I talked to Piper for 53 minutes in the early evening.,I talked to Piper for 53 minutes in the early evening.\n23227,2016/11/20,I talked to Claire for 36 minutes late in the evening.,I talked to Claire for 36 minutes late in the evening.\n23228,2016/11/20,\"I spent 16 talking to Olivia, Piper, Layla, Kinsley on various topics late in the evening.\",\"I spent 16 talking to Olivia, Piper, Layla, Kinsley on various topics late in the evening.\"\n23229,2016/11/20,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n23230,2016/11/20,I watched a tv series for 14 minutes on TV today.,I watched a tv series for 14 minutes on TV today.\n23231,2016/11/21,I did running on 2016/11/21.,I did running on 2016/11/21.\n23232,2016/11/21,I had toast and cheese for breakfast with Nora,I had toast and cheese for breakfast with Nora\n23233,2016/11/21,\"I had fish and chips for lunch with Emily, Andrew\",\"I had fish and chips for lunch with Emily, Andrew\"\n23234,2016/11/21,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n23235,2016/11/21,\"I spent 38 talking to Nora, Claire on various topics late in the evening.\",\"I spent 38 talking to Nora, Claire on various topics late in the evening.\"\n23236,2016/11/21,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n23237,2016/11/21,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n23238,2016/11/22,\"I had breakfast with Emily, Kayden. I ate toast and cheese.\",\"I had breakfast with Emily, Kayden. I ate toast and cheese.\"\n23239,2016/11/22,\"I had pasta for lunch with Andrew, Carter, Kayden\",\"I had pasta for lunch with Andrew, Carter, Kayden\"\n23240,2016/11/22,I prepare steak for dinner.,I prepare steak for dinner.\n23241,2016/11/22,\"I talked to Olivia, Lydia, Nora for 20 minutes during lunch hours.\",\"I talked to Olivia, Lydia, Nora for 20 minutes during lunch hours.\"\n23242,2016/11/22,I spent 30 talking to Piper on various topics in the early evening.,I spent 30 talking to Piper on various topics in the early evening.\n23243,2016/11/22,I spent 5 talking to Piper on various topics late in the evening.,I spent 5 talking to Piper on various topics late in the evening.\n23244,2016/11/22,\"I spent 35 talking to Kinsley, Nora on various topics in the early evening.\",\"I spent 35 talking to Kinsley, Nora on various topics in the early evening.\"\n23245,2016/11/22,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n23246,2016/11/22,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n23247,2016/11/23,\"I went grocery shopping. I bought some pears, apricots, clementines, apples, soda, and toilet paper, toothpaste, facial wash\",\"I went grocery shopping. I bought some pears, apricots, clementines, apples, soda, and toilet paper, toothpaste, facial wash\"\n23248,2016/11/23,I did running on 2016/11/23.,I did running on 2016/11/23.\n23249,2016/11/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n23250,2016/11/23,I had indian food for lunch with Carter,I had indian food for lunch with Carter\n23251,2016/11/23,\"I had dinner with Andrew, Emily. I ate a burger.\",\"I had dinner with Andrew, Emily. I ate a burger.\"\n23252,2016/11/23,I talked to Rylee for 25 minutes in the morning.,I talked to Rylee for 25 minutes in the morning.\n23253,2016/11/23,I spent 46 talking to Hazel on various topics in the early afternoon.,I spent 46 talking to Hazel on various topics in the early afternoon.\n23254,2016/11/23,\"I spent 38 talking to Kinsley, Nevaeh, Olivia on various topics in the morning.\",\"I spent 38 talking to Kinsley, Nevaeh, Olivia on various topics in the morning.\"\n23255,2016/11/23,I spent 30 talking to Nora on various topics late in the evening.,I spent 30 talking to Nora on various topics late in the evening.\n23256,2016/11/23,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n23257,2016/11/23,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n23258,2016/11/24,I did HIIT on 2016/11/24.,I did HIIT on 2016/11/24.\n23259,2016/11/24,\"I had breakfast with Kinsley, Nevaeh, Olivia, Lydia, Rylee, Piper, Piper, Nora, Claire, Avery, Layla. I ate cereals.\",\"I had breakfast with Kinsley, Nevaeh, Olivia, Lydia, Rylee, Piper, Piper, Nora, Claire, Avery, Layla. I ate cereals.\"\n23260,2016/11/24,I had indian food for lunch with Emily,I had indian food for lunch with Emily\n23261,2016/11/24,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n23262,2016/11/24,\"I talked to Rylee, Olivia, Piper for 14 minutes in the morning.\",\"I talked to Rylee, Olivia, Piper for 14 minutes in the morning.\"\n23263,2016/11/24,\"I talked to Piper, Piper, Eva for 9 minutes late in the evening.\",\"I talked to Piper, Piper, Eva for 9 minutes late in the evening.\"\n23264,2016/11/24,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n23265,2016/11/24,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n23266,2016/11/25,\"I entertained Olivia, Avery at my place on 2016/11/25 and bake carrot cake\",\"I entertained Olivia, Avery at my place on 2016/11/25 and bake carrot cake\"\n23267,2016/11/25,I went on a date with Luke on 2016/11/25 at a boba shop,I went on a date with Luke on 2016/11/25 at a boba shop\n23268,2016/11/25,I did swimming on 2016/11/25.,I did swimming on 2016/11/25.\n23269,2016/11/25,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n23270,2016/11/25,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n23271,2016/11/25,\"I had tacos for dinner with Nevaeh, Olivia, Eva, Kinsley, Piper, Claire\",\"I had tacos for dinner with Nevaeh, Olivia, Eva, Kinsley, Piper, Claire\"\n23272,2016/11/25,\"I spent 20 talking to Layla, Olivia on various topics late in the evening.\",\"I spent 20 talking to Layla, Olivia on various topics late in the evening.\"\n23273,2016/11/25,\"I spent 55 talking to Nora, Kinsley, Layla on various topics in the early afternoon.\",\"I spent 55 talking to Nora, Kinsley, Layla on various topics in the early afternoon.\"\n23274,2016/11/25,I talked to Kinsley for 42 minutes in the late afternoon.,I talked to Kinsley for 42 minutes in the late afternoon.\n23275,2016/11/25,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n23276,2016/11/25,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n23277,2016/11/26,I did running on 2016/11/26.,I did running on 2016/11/26.\n23278,2016/11/26,I had breakfast with Emily. I ate oatmeal.,I had breakfast with Emily. I ate oatmeal.\n23279,2016/11/26,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n23280,2016/11/26,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n23281,2016/11/26,\"I talked to Rylee, Olivia, Nora for 38 minutes late in the evening.\",\"I talked to Rylee, Olivia, Nora for 38 minutes late in the evening.\"\n23282,2016/11/26,\"I spent 33 talking to Lydia, Rylee, Eva on various topics in the early afternoon.\",\"I spent 33 talking to Lydia, Rylee, Eva on various topics in the early afternoon.\"\n23283,2016/11/26,\"I talked to Kinsley, Olivia for 40 minutes in the early afternoon.\",\"I talked to Kinsley, Olivia for 40 minutes in the early afternoon.\"\n23284,2016/11/26,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n23285,2016/11/26,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n23286,2016/11/27,I did hiking on 2016/11/27.,I did hiking on 2016/11/27.\n23287,2016/11/27,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n23288,2016/11/27,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n23289,2016/11/27,I ate sushi for dinner.,I ate sushi for dinner.\n23290,2016/11/27,I spent 43 talking to Piper on various topics in the late afternoon.,I spent 43 talking to Piper on various topics in the late afternoon.\n23291,2016/11/27,\"I spent 40 talking to Nevaeh, Hazel, Eva on various topics in the morning.\",\"I spent 40 talking to Nevaeh, Hazel, Eva on various topics in the morning.\"\n23292,2016/11/27,\"I talked to Rylee, Hazel, Layla for 5 minutes in the morning.\",\"I talked to Rylee, Hazel, Layla for 5 minutes in the morning.\"\n23293,2016/11/27,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n23294,2016/11/27,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n23295,2016/11/28,I did hiking on 2016/11/28.,I did hiking on 2016/11/28.\n23296,2016/11/28,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n23297,2016/11/28,I prepare steak for lunch.,I prepare steak for lunch.\n23298,2016/11/28,I had pasta for dinner with Willow,I had pasta for dinner with Willow\n23299,2016/11/28,\"I spent 43 talking to Nevaeh, Rylee on various topics late in the evening.\",\"I spent 43 talking to Nevaeh, Rylee on various topics late in the evening.\"\n23300,2016/11/28,\"I spent 46 talking to Lydia, Hazel on various topics in the morning.\",\"I spent 46 talking to Lydia, Hazel on various topics in the morning.\"\n23301,2016/11/28,\"I talked to Layla, Rylee for 53 minutes during lunch hours.\",\"I talked to Layla, Rylee for 53 minutes during lunch hours.\"\n23302,2016/11/28,I spent 27 minutes on social media today.,I spent 27 minutes on social media today.\n23303,2016/11/28,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n23304,2016/11/29,I did swimming on 2016/11/29.,I did swimming on 2016/11/29.\n23305,2016/11/29,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n23306,2016/11/29,I ate steak for lunch.,I ate steak for lunch.\n23307,2016/11/29,I prepare pasta for dinner.,I prepare pasta for dinner.\n23308,2016/11/29,\"I talked to Lydia, Layla for 38 minutes in the morning.\",\"I talked to Lydia, Layla for 38 minutes in the morning.\"\n23309,2016/11/29,\"I talked to Rylee, Olivia for 44 minutes in the early afternoon.\",\"I talked to Rylee, Olivia for 44 minutes in the early afternoon.\"\n23310,2016/11/29,I spent 22 talking to Kinsley on various topics in the early afternoon.,I spent 22 talking to Kinsley on various topics in the early afternoon.\n23311,2016/11/29,\"I spent 24 talking to Eva, Claire on various topics in the early evening.\",\"I spent 24 talking to Eva, Claire on various topics in the early evening.\"\n23312,2016/11/29,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n23313,2016/11/29,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n23314,2016/11/30,\"On 2016/11/30, I took Logan on a date to a park\",\"On 2016/11/30, I took Logan on a date to a park\"\n23315,2016/11/30,\"I went grocery shopping with Jackson. I bought some cherres, guava, mango juice, orange juice, and body lotion\",\"I went grocery shopping with Jackson. I bought some cherres, guava, mango juice, orange juice, and body lotion\"\n23316,2016/11/30,I did weight lifting on 2016/11/30.,I did weight lifting on 2016/11/30.\n23317,2016/11/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n23318,2016/11/30,I ate sandwich for lunch.,I ate sandwich for lunch.\n23319,2016/11/30,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n23320,2016/11/30,I spent 10 talking to Layla on various topics in the late afternoon.,I spent 10 talking to Layla on various topics in the late afternoon.\n23321,2016/11/30,I talked to Rylee for 7 minutes in the late afternoon.,I talked to Rylee for 7 minutes in the late afternoon.\n23322,2016/11/30,\"I spent 8 talking to Lydia, Nevaeh, Avery, Layla on various topics in the early afternoon.\",\"I spent 8 talking to Lydia, Nevaeh, Avery, Layla on various topics in the early afternoon.\"\n23323,2016/11/30,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n23324,2016/11/30,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n23325,2016/12/01,I really enjoyed meditation on 2016/12/01,I really enjoyed meditation on 2016/12/01\n23326,2016/12/01,I did running on 2016/12/01.,I did running on 2016/12/01.\n23327,2016/12/01,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n23328,2016/12/01,I ate chinese food for lunch.,I ate chinese food for lunch.\n23329,2016/12/01,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n23330,2016/12/01,I spent 38 talking to Claire on various topics during lunch hours.,I spent 38 talking to Claire on various topics during lunch hours.\n23331,2016/12/01,\"I spent 52 talking to Olivia, Lydia on various topics in the early evening.\",\"I spent 52 talking to Olivia, Lydia on various topics in the early evening.\"\n23332,2016/12/01,\"I talked to Lydia, Hazel for 51 minutes late in the evening.\",\"I talked to Lydia, Hazel for 51 minutes late in the evening.\"\n23333,2016/12/01,\"I talked to Piper, Piper for 46 minutes in the morning.\",\"I talked to Piper, Piper for 46 minutes in the morning.\"\n23334,2016/12/01,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n23335,2016/12/01,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n23336,2016/12/02,\"I was baking brownies on 2016/12/02 with Emily, Carter, Kayden, Andrew at my place\",\"I was baking brownies on 2016/12/02 with Emily, Carter, Kayden, Andrew at my place\"\n23337,2016/12/02,\"I went grocery shopping with Kinsley, Eva, Hazel, Nora, Nevaeh. I bought some pineapples, apricots, blueberries, guava, mineral water, and facial wash, toilet paper\",\"I went grocery shopping with Kinsley, Eva, Hazel, Nora, Nevaeh. I bought some pineapples, apricots, blueberries, guava, mineral water, and facial wash, toilet paper\"\n23338,2016/12/02,I did HIIT on 2016/12/02.,I did HIIT on 2016/12/02.\n23339,2016/12/02,I ate cereals for breakfast.,I ate cereals for breakfast.\n23340,2016/12/02,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n23341,2016/12/02,I ate a burger for dinner.,I ate a burger for dinner.\n23342,2016/12/02,\"I spent 51 talking to Kinsley, Olivia, Piper on various topics during lunch hours.\",\"I spent 51 talking to Kinsley, Olivia, Piper on various topics during lunch hours.\"\n23343,2016/12/02,I talked to Layla for 31 minutes in the early afternoon.,I talked to Layla for 31 minutes in the early afternoon.\n23344,2016/12/02,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n23345,2016/12/02,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n23346,2016/12/03,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n23347,2016/12/03,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n23348,2016/12/03,I prepare sushi for dinner.,I prepare sushi for dinner.\n23349,2016/12/03,\"I spent 33 talking to Avery, Nevaeh on various topics in the early evening.\",\"I spent 33 talking to Avery, Nevaeh on various topics in the early evening.\"\n23350,2016/12/03,\"I talked to Olivia, Avery, Nevaeh, Claire for 55 minutes in the early afternoon.\",\"I talked to Olivia, Avery, Nevaeh, Claire for 55 minutes in the early afternoon.\"\n23351,2016/12/03,\"I spent 14 talking to Piper, Avery, Piper, Claire on various topics in the morning.\",\"I spent 14 talking to Piper, Avery, Piper, Claire on various topics in the morning.\"\n23352,2016/12/03,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n23353,2016/12/03,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n23354,2016/12/04,I did hiking on 2016/12/04.,I did hiking on 2016/12/04.\n23355,2016/12/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n23356,2016/12/04,I ate a burger for lunch.,I ate a burger for lunch.\n23357,2016/12/04,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n23358,2016/12/04,\"I talked to Layla, Olivia, Piper for 44 minutes in the late afternoon.\",\"I talked to Layla, Olivia, Piper for 44 minutes in the late afternoon.\"\n23359,2016/12/04,\"I talked to Nora, Rylee, Claire, Kinsley for 19 minutes in the early afternoon.\",\"I talked to Nora, Rylee, Claire, Kinsley for 19 minutes in the early afternoon.\"\n23360,2016/12/04,I spent 34 talking to Layla on various topics in the early evening.,I spent 34 talking to Layla on various topics in the early evening.\n23361,2016/12/04,\"I spent 29 talking to Avery, Nora, Hazel, Claire on various topics late in the evening.\",\"I spent 29 talking to Avery, Nora, Hazel, Claire on various topics late in the evening.\"\n23362,2016/12/04,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n23363,2016/12/04,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n23364,2016/12/05,I did biking on 2016/12/05.,I did biking on 2016/12/05.\n23365,2016/12/05,\"I had peanut-butter-jam for breakfast with Carter, Emily\",\"I had peanut-butter-jam for breakfast with Carter, Emily\"\n23366,2016/12/05,I ate steak for lunch.,I ate steak for lunch.\n23367,2016/12/05,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n23368,2016/12/05,\"I talked to Olivia, Nora, Avery, Hazel for 22 minutes in the early afternoon.\",\"I talked to Olivia, Nora, Avery, Hazel for 22 minutes in the early afternoon.\"\n23369,2016/12/05,\"I talked to Nevaeh, Piper for 52 minutes during lunch hours.\",\"I talked to Nevaeh, Piper for 52 minutes during lunch hours.\"\n23370,2016/12/05,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n23371,2016/12/05,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n23372,2016/12/06,\"I bought some pears, pineapple juice, toothbrush from the grocery store. I saw Emily, Carter at the grocery store.\",\"I bought some pears, pineapple juice, toothbrush from the grocery store. I saw Emily, Carter at the grocery store.\"\n23373,2016/12/06,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n23374,2016/12/06,I ate indian food for lunch.,I ate indian food for lunch.\n23375,2016/12/06,I ate sushi for dinner.,I ate sushi for dinner.\n23376,2016/12/06,\"I talked to Eva, Claire, Rylee for 11 minutes in the early afternoon.\",\"I talked to Eva, Claire, Rylee for 11 minutes in the early afternoon.\"\n23377,2016/12/06,\"I talked to Claire, Piper, Olivia for 23 minutes in the morning.\",\"I talked to Claire, Piper, Olivia for 23 minutes in the morning.\"\n23378,2016/12/06,\"I spent 34 talking to Nevaeh, Lydia, Olivia, Avery on various topics in the early afternoon.\",\"I spent 34 talking to Nevaeh, Lydia, Olivia, Avery on various topics in the early afternoon.\"\n23379,2016/12/06,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n23380,2016/12/06,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n23381,2016/12/07,I did weight lifting on 2016/12/07.,I did weight lifting on 2016/12/07.\n23382,2016/12/07,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n23383,2016/12/07,I ate chinese food for lunch.,I ate chinese food for lunch.\n23384,2016/12/07,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n23385,2016/12/07,\"I spent 9 talking to Eva, Lydia, Claire, Piper on various topics in the early afternoon.\",\"I spent 9 talking to Eva, Lydia, Claire, Piper on various topics in the early afternoon.\"\n23386,2016/12/07,\"I talked to Rylee, Olivia, Nevaeh for 32 minutes in the late afternoon.\",\"I talked to Rylee, Olivia, Nevaeh for 32 minutes in the late afternoon.\"\n23387,2016/12/07,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n23388,2016/12/07,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n23389,2016/12/08,I did running on 2016/12/08.,I did running on 2016/12/08.\n23390,2016/12/08,\"I had breakfast with Emily, Andrew, Carter, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew, Carter, Kayden. I ate peanut-butter-jam.\"\n23391,2016/12/08,I ate tacos for lunch.,I ate tacos for lunch.\n23392,2016/12/08,I had dinner with Jackson. I ate chinese food.,I had dinner with Jackson. I ate chinese food.\n23393,2016/12/08,I spent 10 talking to Nevaeh on various topics in the early afternoon.,I spent 10 talking to Nevaeh on various topics in the early afternoon.\n23394,2016/12/08,\"I spent 41 talking to Layla, Hazel, Rylee on various topics in the early afternoon.\",\"I spent 41 talking to Layla, Hazel, Rylee on various topics in the early afternoon.\"\n23395,2016/12/08,I talked to Nevaeh for 12 minutes in the morning.,I talked to Nevaeh for 12 minutes in the morning.\n23396,2016/12/08,\"I spent 12 talking to Avery, Claire on various topics in the morning.\",\"I spent 12 talking to Avery, Claire on various topics in the morning.\"\n23397,2016/12/08,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n23398,2016/12/08,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n23399,2016/12/09,\"I bought some clementines, coffee, mineral water, guava juice, toilet paper, shaving cream, toothbrush, facial wash from the grocery store. I saw Avery, Willow, Benjamin, Jackson at the grocery store.\",\"I bought some clementines, coffee, mineral water, guava juice, toilet paper, shaving cream, toothbrush, facial wash from the grocery store. I saw Avery, Willow, Benjamin, Jackson at the grocery store.\"\n23400,2016/12/09,I did biking on 2016/12/09.,I did biking on 2016/12/09.\n23401,2016/12/09,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n23402,2016/12/09,I ate a burger for lunch.,I ate a burger for lunch.\n23403,2016/12/09,I prepare a burger for dinner.,I prepare a burger for dinner.\n23404,2016/12/09,\"I talked to Rylee, Claire, Avery, Eva for 12 minutes in the early evening.\",\"I talked to Rylee, Claire, Avery, Eva for 12 minutes in the early evening.\"\n23405,2016/12/09,\"I spent 31 talking to Eva, Nevaeh, Nora on various topics late in the evening.\",\"I spent 31 talking to Eva, Nevaeh, Nora on various topics late in the evening.\"\n23406,2016/12/09,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n23407,2016/12/09,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n23408,2016/12/10,I did swimming on 2016/12/10.,I did swimming on 2016/12/10.\n23409,2016/12/10,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n23410,2016/12/10,\"I had sandwich for lunch with Olivia, Nora, Piper, Hazel, Avery, Rylee\",\"I had sandwich for lunch with Olivia, Nora, Piper, Hazel, Avery, Rylee\"\n23411,2016/12/10,\"I had dinner with Emily, Carter. I ate steak.\",\"I had dinner with Emily, Carter. I ate steak.\"\n23412,2016/12/10,I spent 21 talking to Layla on various topics in the late afternoon.,I spent 21 talking to Layla on various topics in the late afternoon.\n23413,2016/12/10,\"I spent 25 talking to Nevaeh, Kinsley, Eva on various topics in the early afternoon.\",\"I spent 25 talking to Nevaeh, Kinsley, Eva on various topics in the early afternoon.\"\n23414,2016/12/10,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n23415,2016/12/10,I spent 37 minutes watching a tv series on TV today.,I spent 37 minutes watching a tv series on TV today.\n23416,2016/12/11,\"I had pancakes for breakfast with Piper, Hazel, Lydia, Avery, Kinsley\",\"I had pancakes for breakfast with Piper, Hazel, Lydia, Avery, Kinsley\"\n23417,2016/12/11,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n23418,2016/12/11,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n23419,2016/12/11,I spent 36 talking to Rylee on various topics in the morning.,I spent 36 talking to Rylee on various topics in the morning.\n23420,2016/12/11,\"I spent 24 talking to Olivia, Avery, Hazel on various topics in the morning.\",\"I spent 24 talking to Olivia, Avery, Hazel on various topics in the morning.\"\n23421,2016/12/11,I spent 47 talking to Kinsley on various topics in the early evening.,I spent 47 talking to Kinsley on various topics in the early evening.\n23422,2016/12/11,\"I spent 24 talking to Olivia, Kinsley on various topics in the late afternoon.\",\"I spent 24 talking to Olivia, Kinsley on various topics in the late afternoon.\"\n23423,2016/12/11,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n23424,2016/12/11,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n23425,2016/12/12,I did running on 2016/12/12.,I did running on 2016/12/12.\n23426,2016/12/12,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n23427,2016/12/12,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n23428,2016/12/12,I had sandwich for dinner with Kayden,I had sandwich for dinner with Kayden\n23429,2016/12/12,\"I spent 27 talking to Piper, Claire, Olivia, Lydia on various topics in the early afternoon.\",\"I spent 27 talking to Piper, Claire, Olivia, Lydia on various topics in the early afternoon.\"\n23430,2016/12/12,\"I spent 6 talking to Layla, Nora, Eva, Nevaeh on various topics in the early evening.\",\"I spent 6 talking to Layla, Nora, Eva, Nevaeh on various topics in the early evening.\"\n23431,2016/12/12,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n23432,2016/12/12,I spent 15 minutes watching a documentary on TV today.,I spent 15 minutes watching a documentary on TV today.\n23433,2016/12/13,\"I went grocery shopping with Olivia, Lydia, Rylee, Nevaeh, Avery, Piper, Kinsley. I bought some mandarins, nectarines, orange juice, tea, pineapple juice, and facial wash, shampoo, toilet paper, toothbrush\",\"I went grocery shopping with Olivia, Lydia, Rylee, Nevaeh, Avery, Piper, Kinsley. I bought some mandarins, nectarines, orange juice, tea, pineapple juice, and facial wash, shampoo, toilet paper, toothbrush\"\n23434,2016/12/13,I did running on 2016/12/13.,I did running on 2016/12/13.\n23435,2016/12/13,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n23436,2016/12/13,I had lunch with Willow. I ate pasta.,I had lunch with Willow. I ate pasta.\n23437,2016/12/13,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n23438,2016/12/13,\"I talked to Eva, Lydia for 27 minutes in the morning.\",\"I talked to Eva, Lydia for 27 minutes in the morning.\"\n23439,2016/12/13,\"I talked to Kinsley, Olivia, Avery, Piper for 53 minutes in the morning.\",\"I talked to Kinsley, Olivia, Avery, Piper for 53 minutes in the morning.\"\n23440,2016/12/13,I talked to Olivia for 42 minutes in the morning.,I talked to Olivia for 42 minutes in the morning.\n23441,2016/12/13,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n23442,2016/12/13,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n23443,2016/12/14,I did biking on 2016/12/14.,I did biking on 2016/12/14.\n23444,2016/12/14,I ate cereals for breakfast.,I ate cereals for breakfast.\n23445,2016/12/14,I prepare tacos for lunch.,I prepare tacos for lunch.\n23446,2016/12/14,I had fish and chips for dinner with Jackson,I had fish and chips for dinner with Jackson\n23447,2016/12/14,\"I talked to Hazel, Rylee, Nora, Claire for 32 minutes during lunch hours.\",\"I talked to Hazel, Rylee, Nora, Claire for 32 minutes during lunch hours.\"\n23448,2016/12/14,I spent 37 talking to Eva on various topics in the late afternoon.,I spent 37 talking to Eva on various topics in the late afternoon.\n23449,2016/12/14,\"I spent 26 talking to Claire, Kinsley, Avery, Piper on various topics in the late afternoon.\",\"I spent 26 talking to Claire, Kinsley, Avery, Piper on various topics in the late afternoon.\"\n23450,2016/12/14,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n23451,2016/12/14,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n23452,2016/12/15,\"On 2016/12/15, I took Layla on a date to a restaurant\",\"On 2016/12/15, I took Layla on a date to a restaurant\"\n23453,2016/12/15,I did weight lifting on 2016/12/15.,I did weight lifting on 2016/12/15.\n23454,2016/12/15,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n23455,2016/12/15,I prepare tacos for lunch.,I prepare tacos for lunch.\n23456,2016/12/15,I ate steak for dinner.,I ate steak for dinner.\n23457,2016/12/15,I talked to Piper for 15 minutes during lunch hours.,I talked to Piper for 15 minutes during lunch hours.\n23458,2016/12/15,\"I talked to Nevaeh, Lydia, Piper for 15 minutes during lunch hours.\",\"I talked to Nevaeh, Lydia, Piper for 15 minutes during lunch hours.\"\n23459,2016/12/15,\"I talked to Nora, Nevaeh, Kinsley for 36 minutes in the early afternoon.\",\"I talked to Nora, Nevaeh, Kinsley for 36 minutes in the early afternoon.\"\n23460,2016/12/15,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n23461,2016/12/15,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n23462,2016/12/16,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n23463,2016/12/16,I prepare pasta for lunch.,I prepare pasta for lunch.\n23464,2016/12/16,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n23465,2016/12/16,I talked to Kinsley for 8 minutes in the early afternoon.,I talked to Kinsley for 8 minutes in the early afternoon.\n23466,2016/12/16,\"I spent 43 talking to Piper, Avery, Kinsley, Rylee on various topics in the early afternoon.\",\"I spent 43 talking to Piper, Avery, Kinsley, Rylee on various topics in the early afternoon.\"\n23467,2016/12/16,\"I talked to Nevaeh, Piper, Layla for 53 minutes during lunch hours.\",\"I talked to Nevaeh, Piper, Layla for 53 minutes during lunch hours.\"\n23468,2016/12/16,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n23469,2016/12/16,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n23470,2016/12/17,I did hiking on 2016/12/17.,I did hiking on 2016/12/17.\n23471,2016/12/17,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n23472,2016/12/17,I ate tacos for lunch.,I ate tacos for lunch.\n23473,2016/12/17,\"I had dinner with Kayden, Carter. I ate pasta.\",\"I had dinner with Kayden, Carter. I ate pasta.\"\n23474,2016/12/17,\"I talked to Piper, Kinsley, Olivia, Nevaeh for 55 minutes in the early afternoon.\",\"I talked to Piper, Kinsley, Olivia, Nevaeh for 55 minutes in the early afternoon.\"\n23475,2016/12/17,I talked to Layla for 20 minutes in the late afternoon.,I talked to Layla for 20 minutes in the late afternoon.\n23476,2016/12/17,\"I spent 12 talking to Kinsley, Olivia, Eva on various topics late in the evening.\",\"I spent 12 talking to Kinsley, Olivia, Eva on various topics late in the evening.\"\n23477,2016/12/17,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n23478,2016/12/17,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n23479,2016/12/18,I did weight lifting on 2016/12/18.,I did weight lifting on 2016/12/18.\n23480,2016/12/18,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n23481,2016/12/18,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n23482,2016/12/18,I had sushi for dinner with Lydia,I had sushi for dinner with Lydia\n23483,2016/12/18,I talked to Claire for 41 minutes in the early evening.,I talked to Claire for 41 minutes in the early evening.\n23484,2016/12/18,\"I spent 39 talking to Rylee, Eva on various topics in the morning.\",\"I spent 39 talking to Rylee, Eva on various topics in the morning.\"\n23485,2016/12/18,I talked to Lydia for 36 minutes in the early evening.,I talked to Lydia for 36 minutes in the early evening.\n23486,2016/12/18,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n23487,2016/12/18,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n23488,2016/12/19,I did swimming on 2016/12/19.,I did swimming on 2016/12/19.\n23489,2016/12/19,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n23490,2016/12/19,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n23491,2016/12/19,I ate indian food for dinner.,I ate indian food for dinner.\n23492,2016/12/19,\"I talked to Avery, Nora, Piper, Piper for 37 minutes late in the evening.\",\"I talked to Avery, Nora, Piper, Piper for 37 minutes late in the evening.\"\n23493,2016/12/19,I spent 15 talking to Claire on various topics in the morning.,I spent 15 talking to Claire on various topics in the morning.\n23494,2016/12/19,\"I spent 14 talking to Nora, Hazel, Piper, Claire on various topics in the early evening.\",\"I spent 14 talking to Nora, Hazel, Piper, Claire on various topics in the early evening.\"\n23495,2016/12/19,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n23496,2016/12/19,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n23497,2016/12/20,I did biking on 2016/12/20.,I did biking on 2016/12/20.\n23498,2016/12/20,\"I had eggs, sausages, and bread for breakfast with Olivia\",\"I had eggs, sausages, and bread for breakfast with Olivia\"\n23499,2016/12/20,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n23500,2016/12/20,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n23501,2016/12/20,I spent 15 talking to Eva on various topics in the late afternoon.,I spent 15 talking to Eva on various topics in the late afternoon.\n23502,2016/12/20,\"I talked to Kinsley, Nora, Olivia, Hazel for 5 minutes in the early afternoon.\",\"I talked to Kinsley, Nora, Olivia, Hazel for 5 minutes in the early afternoon.\"\n23503,2016/12/20,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n23504,2016/12/20,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n23505,2016/12/21,\"I bought some blueberries, guava juice, chocolate milk, shampoo, body lotion, facial wash online.\",\"I bought some blueberries, guava juice, chocolate milk, shampoo, body lotion, facial wash online.\"\n23506,2016/12/21,I did biking on 2016/12/21.,I did biking on 2016/12/21.\n23507,2016/12/21,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n23508,2016/12/21,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n23509,2016/12/21,\"I had sushi for dinner with Kayden, Carter, Emily, Andrew\",\"I had sushi for dinner with Kayden, Carter, Emily, Andrew\"\n23510,2016/12/21,\"I spent 20 talking to Eva, Kinsley, Piper, Avery on various topics late in the evening.\",\"I spent 20 talking to Eva, Kinsley, Piper, Avery on various topics late in the evening.\"\n23511,2016/12/21,\"I talked to Olivia, Layla, Hazel for 44 minutes in the morning.\",\"I talked to Olivia, Layla, Hazel for 44 minutes in the morning.\"\n23512,2016/12/21,\"I spent 43 talking to Kinsley, Lydia, Piper on various topics in the early evening.\",\"I spent 43 talking to Kinsley, Lydia, Piper on various topics in the early evening.\"\n23513,2016/12/21,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n23514,2016/12/21,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n23515,2016/12/22,I spent some time meditation on 2016/12/22.,I spent some time meditation on 2016/12/22.\n23516,2016/12/22,I did hiking on 2016/12/22.,I did hiking on 2016/12/22.\n23517,2016/12/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n23518,2016/12/22,I ate indian food for lunch.,I ate indian food for lunch.\n23519,2016/12/22,I had a burger for dinner with Benjamin,I had a burger for dinner with Benjamin\n23520,2016/12/22,\"I spent 33 talking to Hazel, Claire on various topics in the early afternoon.\",\"I spent 33 talking to Hazel, Claire on various topics in the early afternoon.\"\n23521,2016/12/22,\"I talked to Lydia, Hazel, Piper for 13 minutes in the morning.\",\"I talked to Lydia, Hazel, Piper for 13 minutes in the morning.\"\n23522,2016/12/22,I spent 28 talking to Hazel on various topics late in the evening.,I spent 28 talking to Hazel on various topics late in the evening.\n23523,2016/12/22,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n23524,2016/12/22,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n23525,2016/12/23,I did hiking on 2016/12/23.,I did hiking on 2016/12/23.\n23526,2016/12/23,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n23527,2016/12/23,\"I had lunch with Claire, Olivia, Piper, Rylee, Avery, Kinsley, Nora, Nevaeh. I ate tacos.\",\"I had lunch with Claire, Olivia, Piper, Rylee, Avery, Kinsley, Nora, Nevaeh. I ate tacos.\"\n23528,2016/12/23,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n23529,2016/12/23,\"I spent 31 talking to Piper, Olivia on various topics in the late afternoon.\",\"I spent 31 talking to Piper, Olivia on various topics in the late afternoon.\"\n23530,2016/12/23,\"I spent 42 talking to Lydia, Claire on various topics in the late afternoon.\",\"I spent 42 talking to Lydia, Claire on various topics in the late afternoon.\"\n23531,2016/12/23,I spent 39 talking to Eva on various topics in the late afternoon.,I spent 39 talking to Eva on various topics in the late afternoon.\n23532,2016/12/23,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n23533,2016/12/23,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n23534,2016/12/24,I did hiking on 2016/12/24.,I did hiking on 2016/12/24.\n23535,2016/12/24,\"I had peanut-butter-jam for breakfast with Kayden, Emily\",\"I had peanut-butter-jam for breakfast with Kayden, Emily\"\n23536,2016/12/24,I ate tacos for lunch.,I ate tacos for lunch.\n23537,2016/12/24,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n23538,2016/12/24,I spent 32 talking to Nora on various topics late in the evening.,I spent 32 talking to Nora on various topics late in the evening.\n23539,2016/12/24,I spent 36 talking to Lydia on various topics in the late afternoon.,I spent 36 talking to Lydia on various topics in the late afternoon.\n23540,2016/12/24,\"I talked to Piper, Layla, Hazel for 15 minutes in the late afternoon.\",\"I talked to Piper, Layla, Hazel for 15 minutes in the late afternoon.\"\n23541,2016/12/24,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n23542,2016/12/24,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n23543,2016/12/25,I really enjoyed learning a language on 2016/12/25,I really enjoyed learning a language on 2016/12/25\n23544,2016/12/25,\"I had toast and cheese for breakfast with Andrew, Kayden, Carter\",\"I had toast and cheese for breakfast with Andrew, Kayden, Carter\"\n23545,2016/12/25,\"I had lunch with Nora, Eva, Rylee. I ate pasta.\",\"I had lunch with Nora, Eva, Rylee. I ate pasta.\"\n23546,2016/12/25,I ate pasta for dinner.,I ate pasta for dinner.\n23547,2016/12/25,I spent 35 talking to Rylee on various topics in the late afternoon.,I spent 35 talking to Rylee on various topics in the late afternoon.\n23548,2016/12/25,\"I talked to Piper, Nevaeh for 38 minutes late in the evening.\",\"I talked to Piper, Nevaeh for 38 minutes late in the evening.\"\n23549,2016/12/25,I spent 10 talking to Piper on various topics during lunch hours.,I spent 10 talking to Piper on various topics during lunch hours.\n23550,2016/12/25,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n23551,2016/12/25,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n23552,2016/12/26,I did hiking on 2016/12/26.,I did hiking on 2016/12/26.\n23553,2016/12/26,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n23554,2016/12/26,I ate pasta for lunch.,I ate pasta for lunch.\n23555,2016/12/26,\"I had tacos for dinner with Jackson, Willow, Avery\",\"I had tacos for dinner with Jackson, Willow, Avery\"\n23556,2016/12/26,\"I talked to Avery, Eva for 48 minutes in the early afternoon.\",\"I talked to Avery, Eva for 48 minutes in the early afternoon.\"\n23557,2016/12/26,\"I talked to Hazel, Claire for 53 minutes late in the evening.\",\"I talked to Hazel, Claire for 53 minutes late in the evening.\"\n23558,2016/12/26,\"I talked to Lydia, Nora, Layla for 11 minutes during lunch hours.\",\"I talked to Lydia, Nora, Layla for 11 minutes during lunch hours.\"\n23559,2016/12/26,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n23560,2016/12/26,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n23561,2016/12/27,I did running on 2016/12/27.,I did running on 2016/12/27.\n23562,2016/12/27,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n23563,2016/12/27,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n23564,2016/12/27,I prepare indian food for dinner.,I prepare indian food for dinner.\n23565,2016/12/27,I talked to Avery for 5 minutes late in the evening.,I talked to Avery for 5 minutes late in the evening.\n23566,2016/12/27,I spent 49 talking to Nora on various topics in the late afternoon.,I spent 49 talking to Nora on various topics in the late afternoon.\n23567,2016/12/27,\"I talked to Layla, Nevaeh, Claire, Piper for 9 minutes in the early afternoon.\",\"I talked to Layla, Nevaeh, Claire, Piper for 9 minutes in the early afternoon.\"\n23568,2016/12/27,\"I spent 49 talking to Piper, Olivia, Claire, Layla on various topics in the morning.\",\"I spent 49 talking to Piper, Olivia, Claire, Layla on various topics in the morning.\"\n23569,2016/12/27,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n23570,2016/12/27,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n23571,2016/12/28,I did HIIT on 2016/12/28.,I did HIIT on 2016/12/28.\n23572,2016/12/28,I ate cereals for breakfast.,I ate cereals for breakfast.\n23573,2016/12/28,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n23574,2016/12/28,I prepare a burger for dinner.,I prepare a burger for dinner.\n23575,2016/12/28,\"I spent 17 talking to Lydia, Olivia on various topics late in the evening.\",\"I spent 17 talking to Lydia, Olivia on various topics late in the evening.\"\n23576,2016/12/28,I talked to Hazel for 53 minutes in the early evening.,I talked to Hazel for 53 minutes in the early evening.\n23577,2016/12/28,\"I talked to Nora, Olivia, Avery, Hazel for 55 minutes during lunch hours.\",\"I talked to Nora, Olivia, Avery, Hazel for 55 minutes during lunch hours.\"\n23578,2016/12/28,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n23579,2016/12/28,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n23580,2016/12/29,I did biking on 2016/12/29.,I did biking on 2016/12/29.\n23581,2016/12/29,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n23582,2016/12/29,\"I had sushi for lunch with Rylee, Nevaeh, Eva, Nora, Claire, Lydia, Olivia, Avery, Piper, Hazel, Layla, Piper\",\"I had sushi for lunch with Rylee, Nevaeh, Eva, Nora, Claire, Lydia, Olivia, Avery, Piper, Hazel, Layla, Piper\"\n23583,2016/12/29,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n23584,2016/12/29,\"I spent 13 talking to Lydia, Nora, Piper on various topics during lunch hours.\",\"I spent 13 talking to Lydia, Nora, Piper on various topics during lunch hours.\"\n23585,2016/12/29,\"I talked to Claire, Piper, Avery for 32 minutes in the early evening.\",\"I talked to Claire, Piper, Avery for 32 minutes in the early evening.\"\n23586,2016/12/29,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n23587,2016/12/29,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n23588,2016/12/30,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n23589,2016/12/30,\"I had lunch with Eva, Layla, Lydia, Avery, Kinsley, Piper, Nevaeh, Rylee, Piper. I ate steak.\",\"I had lunch with Eva, Layla, Lydia, Avery, Kinsley, Piper, Nevaeh, Rylee, Piper. I ate steak.\"\n23590,2016/12/30,\"I had a burger for dinner with Nora, Avery, Rylee, Nevaeh, Lydia\",\"I had a burger for dinner with Nora, Avery, Rylee, Nevaeh, Lydia\"\n23591,2016/12/30,\"I talked to Hazel, Piper for 43 minutes in the early afternoon.\",\"I talked to Hazel, Piper for 43 minutes in the early afternoon.\"\n23592,2016/12/30,\"I spent 37 talking to Kinsley, Layla, Nora, Piper on various topics during lunch hours.\",\"I spent 37 talking to Kinsley, Layla, Nora, Piper on various topics during lunch hours.\"\n23593,2016/12/30,\"I spent 49 talking to Avery, Layla, Lydia on various topics in the early afternoon.\",\"I spent 49 talking to Avery, Layla, Lydia on various topics in the early afternoon.\"\n23594,2016/12/30,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n23595,2016/12/30,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n23596,2016/12/31,\"On 2016/12/31, I took Ethan on a date to a restaurant\",\"On 2016/12/31, I took Ethan on a date to a restaurant\"\n23597,2016/12/31,I did HIIT on 2016/12/31.,I did HIIT on 2016/12/31.\n23598,2016/12/31,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n23599,2016/12/31,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n23600,2016/12/31,I had dinner with Willow. I ate tacos.,I had dinner with Willow. I ate tacos.\n23601,2016/12/31,\"I spent 7 talking to Lydia, Nevaeh, Eva, Piper on various topics late in the evening.\",\"I spent 7 talking to Lydia, Nevaeh, Eva, Piper on various topics late in the evening.\"\n23602,2016/12/31,\"I talked to Lydia, Olivia, Claire for 19 minutes in the late afternoon.\",\"I talked to Lydia, Olivia, Claire for 19 minutes in the late afternoon.\"\n23603,2016/12/31,\"I spent 17 talking to Hazel, Layla, Lydia on various topics in the early evening.\",\"I spent 17 talking to Hazel, Layla, Lydia on various topics in the early evening.\"\n23604,2016/12/31,I talked to Piper for 18 minutes during lunch hours.,I talked to Piper for 18 minutes during lunch hours.\n23605,2016/12/31,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n23606,2016/12/31,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n23607,2017/01/01,\"I went grocery shopping. I bought some peaches, coffee, and paper towel\",\"I went grocery shopping. I bought some peaches, coffee, and paper towel\"\n23608,2017/01/01,I did HIIT on 2017/01/01.,I did HIIT on 2017/01/01.\n23609,2017/01/01,\"I had breakfast with Piper, Claire, Olivia, Nevaeh, Layla, Rylee. I ate oatmeal.\",\"I had breakfast with Piper, Claire, Olivia, Nevaeh, Layla, Rylee. I ate oatmeal.\"\n23610,2017/01/01,I had lunch with Andrew. I ate chinese food.,I had lunch with Andrew. I ate chinese food.\n23611,2017/01/01,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n23612,2017/01/01,\"I talked to Lydia, Eva, Olivia, Nora for 34 minutes in the early evening.\",\"I talked to Lydia, Eva, Olivia, Nora for 34 minutes in the early evening.\"\n23613,2017/01/01,I spent 24 talking to Piper on various topics in the morning.,I spent 24 talking to Piper on various topics in the morning.\n23614,2017/01/01,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n23615,2017/01/01,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n23616,2017/01/02,\"On 2017/01/02, I took Autumn on a date to a coffee Shop\",\"On 2017/01/02, I took Autumn on a date to a coffee Shop\"\n23617,2017/01/02,I did running on 2017/01/02.,I did running on 2017/01/02.\n23618,2017/01/02,\"I had pancakes for breakfast with Emily, Carter, Andrew, Kayden\",\"I had pancakes for breakfast with Emily, Carter, Andrew, Kayden\"\n23619,2017/01/02,I ate pasta for lunch.,I ate pasta for lunch.\n23620,2017/01/02,I prepare indian food for dinner.,I prepare indian food for dinner.\n23621,2017/01/02,\"I spent 7 talking to Nevaeh, Avery, Eva, Kinsley on various topics in the early afternoon.\",\"I spent 7 talking to Nevaeh, Avery, Eva, Kinsley on various topics in the early afternoon.\"\n23622,2017/01/02,I spent 23 talking to Nevaeh on various topics in the morning.,I spent 23 talking to Nevaeh on various topics in the morning.\n23623,2017/01/02,\"I spent 17 talking to Kinsley, Lydia on various topics in the morning.\",\"I spent 17 talking to Kinsley, Lydia on various topics in the morning.\"\n23624,2017/01/02,\"I talked to Nora, Lydia, Layla, Olivia for 21 minutes in the late afternoon.\",\"I talked to Nora, Lydia, Layla, Olivia for 21 minutes in the late afternoon.\"\n23625,2017/01/02,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n23626,2017/01/02,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n23627,2017/01/03,I did running on 2017/01/03.,I did running on 2017/01/03.\n23628,2017/01/03,\"I had cereals for breakfast with Emily, Andrew\",\"I had cereals for breakfast with Emily, Andrew\"\n23629,2017/01/03,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n23630,2017/01/03,\"I had sandwich for dinner with Kayden, Carter\",\"I had sandwich for dinner with Kayden, Carter\"\n23631,2017/01/03,\"I spent 49 talking to Hazel, Layla, Nora, Kinsley on various topics late in the evening.\",\"I spent 49 talking to Hazel, Layla, Nora, Kinsley on various topics late in the evening.\"\n23632,2017/01/03,\"I spent 7 talking to Claire, Piper on various topics during lunch hours.\",\"I spent 7 talking to Claire, Piper on various topics during lunch hours.\"\n23633,2017/01/03,I talked to Avery for 10 minutes in the early evening.,I talked to Avery for 10 minutes in the early evening.\n23634,2017/01/03,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n23635,2017/01/03,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n23636,2017/01/04,\"On 2017/01/04, I took Cameron on a date to a restaurant\",\"On 2017/01/04, I took Cameron on a date to a restaurant\"\n23637,2017/01/04,I did weight lifting on 2017/01/04.,I did weight lifting on 2017/01/04.\n23638,2017/01/04,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n23639,2017/01/04,I prepare sushi for lunch.,I prepare sushi for lunch.\n23640,2017/01/04,I had dinner with Carter. I ate sandwich.,I had dinner with Carter. I ate sandwich.\n23641,2017/01/04,I spent 23 talking to Lydia on various topics in the early evening.,I spent 23 talking to Lydia on various topics in the early evening.\n23642,2017/01/04,\"I spent 41 talking to Hazel, Claire, Avery on various topics late in the evening.\",\"I spent 41 talking to Hazel, Claire, Avery on various topics late in the evening.\"\n23643,2017/01/04,\"I talked to Claire, Layla, Nevaeh for 9 minutes in the morning.\",\"I talked to Claire, Layla, Nevaeh for 9 minutes in the morning.\"\n23644,2017/01/04,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n23645,2017/01/04,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n23646,2017/01/05,I did HIIT on 2017/01/05.,I did HIIT on 2017/01/05.\n23647,2017/01/05,\"I had breakfast with Benjamin, Jackson. I ate pancakes.\",\"I had breakfast with Benjamin, Jackson. I ate pancakes.\"\n23648,2017/01/05,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n23649,2017/01/05,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n23650,2017/01/05,I talked to Avery for 55 minutes in the late afternoon.,I talked to Avery for 55 minutes in the late afternoon.\n23651,2017/01/05,\"I spent 33 talking to Lydia, Kinsley, Avery on various topics during lunch hours.\",\"I spent 33 talking to Lydia, Kinsley, Avery on various topics during lunch hours.\"\n23652,2017/01/05,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n23653,2017/01/05,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n23654,2017/01/06,\"I bought some nectarines, mandarins, bananas, guava, orange juice, coffee, apple juice, pineapple juice, paper towel from the grocery store. I saw Carter, Andrew, Emily at the grocery store.\",\"I bought some nectarines, mandarins, bananas, guava, orange juice, coffee, apple juice, pineapple juice, paper towel from the grocery store. I saw Carter, Andrew, Emily at the grocery store.\"\n23655,2017/01/06,I did running on 2017/01/06.,I did running on 2017/01/06.\n23656,2017/01/06,\"I had peanut-butter-jam for breakfast with Jackson, Avery, Benjamin, Willow\",\"I had peanut-butter-jam for breakfast with Jackson, Avery, Benjamin, Willow\"\n23657,2017/01/06,\"I had lunch with Avery, Jackson, Benjamin. I ate sandwich.\",\"I had lunch with Avery, Jackson, Benjamin. I ate sandwich.\"\n23658,2017/01/06,I ate sushi for dinner.,I ate sushi for dinner.\n23659,2017/01/06,I spent 20 talking to Eva on various topics in the early afternoon.,I spent 20 talking to Eva on various topics in the early afternoon.\n23660,2017/01/06,\"I talked to Layla, Eva for 47 minutes during lunch hours.\",\"I talked to Layla, Eva for 47 minutes during lunch hours.\"\n23661,2017/01/06,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n23662,2017/01/06,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n23663,2017/01/07,I did running on 2017/01/07.,I did running on 2017/01/07.\n23664,2017/01/07,\"I had breakfast with Kinsley, Rylee, Hazel, Piper, Nevaeh, Claire, Nora, Olivia, Eva, Piper, Avery. I ate cereals.\",\"I had breakfast with Kinsley, Rylee, Hazel, Piper, Nevaeh, Claire, Nora, Olivia, Eva, Piper, Avery. I ate cereals.\"\n23665,2017/01/07,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n23666,2017/01/07,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n23667,2017/01/07,\"I talked to Hazel, Layla for 53 minutes during lunch hours.\",\"I talked to Hazel, Layla for 53 minutes during lunch hours.\"\n23668,2017/01/07,I spent 52 talking to Claire on various topics in the early evening.,I spent 52 talking to Claire on various topics in the early evening.\n23669,2017/01/07,I talked to Hazel for 49 minutes in the morning.,I talked to Hazel for 49 minutes in the morning.\n23670,2017/01/07,\"I spent 54 talking to Eva, Lydia on various topics in the early afternoon.\",\"I spent 54 talking to Eva, Lydia on various topics in the early afternoon.\"\n23671,2017/01/07,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n23672,2017/01/07,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n23673,2017/01/08,I did weight lifting on 2017/01/08.,I did weight lifting on 2017/01/08.\n23674,2017/01/08,\"I had cereals for breakfast with Emily, Kayden, Andrew, Carter\",\"I had cereals for breakfast with Emily, Kayden, Andrew, Carter\"\n23675,2017/01/08,I had lunch. I ate steak.,I had lunch. I ate steak.\n23676,2017/01/08,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n23677,2017/01/08,\"I spent 26 talking to Olivia, Piper, Kinsley, Avery on various topics in the early afternoon.\",\"I spent 26 talking to Olivia, Piper, Kinsley, Avery on various topics in the early afternoon.\"\n23678,2017/01/08,\"I talked to Olivia, Kinsley, Layla, Rylee for 50 minutes in the early evening.\",\"I talked to Olivia, Kinsley, Layla, Rylee for 50 minutes in the early evening.\"\n23679,2017/01/08,\"I talked to Piper, Claire for 25 minutes in the early evening.\",\"I talked to Piper, Claire for 25 minutes in the early evening.\"\n23680,2017/01/08,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n23681,2017/01/08,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n23682,2017/01/09,\"I bought some oranges, strawberries, peaches, apricots, apple juice, tea, facial wash, conditioner, mouth wash, paper towel online.\",\"I bought some oranges, strawberries, peaches, apricots, apple juice, tea, facial wash, conditioner, mouth wash, paper towel online.\"\n23683,2017/01/09,I did running on 2017/01/09.,I did running on 2017/01/09.\n23684,2017/01/09,\"I had eggs, sausages, and bread for breakfast with Rylee\",\"I had eggs, sausages, and bread for breakfast with Rylee\"\n23685,2017/01/09,I prepare tacos for lunch.,I prepare tacos for lunch.\n23686,2017/01/09,I ate steak for dinner.,I ate steak for dinner.\n23687,2017/01/09,\"I spent 22 talking to Piper, Hazel, Layla on various topics in the early afternoon.\",\"I spent 22 talking to Piper, Hazel, Layla on various topics in the early afternoon.\"\n23688,2017/01/09,\"I talked to Kinsley, Layla, Nevaeh for 39 minutes in the early evening.\",\"I talked to Kinsley, Layla, Nevaeh for 39 minutes in the early evening.\"\n23689,2017/01/09,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n23690,2017/01/09,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n23691,2017/01/10,\"On 2017/01/10 Andrew, Kayden and I went to Sydney, Australia together for 11 days \",\"On 2017/01/10 Andrew, Kayden and I went to Sydney, Australia together for 11 days \"\n23692,2017/01/10,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n23693,2017/01/10,I had lunch with Kayden. I ate steak.,I had lunch with Kayden. I ate steak.\n23694,2017/01/10,I prepare pasta for dinner.,I prepare pasta for dinner.\n23695,2017/01/10,I talked to Olivia for 24 minutes in the late afternoon.,I talked to Olivia for 24 minutes in the late afternoon.\n23696,2017/01/10,\"I talked to Nora, Kinsley, Lydia for 12 minutes in the early afternoon.\",\"I talked to Nora, Kinsley, Lydia for 12 minutes in the early afternoon.\"\n23697,2017/01/10,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n23698,2017/01/10,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n23699,2017/01/11,\"During my trip to Sydney, Australia, I visited Bondi Beach on 2017/01 with Andrew, Kayden.\",\"During my trip to Sydney, Australia, I visited Bondi Beach on 2017/01 with Andrew, Kayden.\"\n23700,2017/01/11,\"I ate street food at Love Crepe with Andrew, Kayden on  2017/01/11 when I was in Sydney, Australia.\",\"I ate street food at Love Crepe with Andrew, Kayden on  2017/01/11 when I was in Sydney, Australia.\"\n23701,2017/01/11,\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate toast and cheese.\",\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate toast and cheese.\"\n23702,2017/01/11,\"I had fish and chips for lunch with Claire, Piper, Nora, Layla, Rylee, Eva, Nevaeh, Hazel, Piper, Olivia, Avery, Kinsley, Lydia\",\"I had fish and chips for lunch with Claire, Piper, Nora, Layla, Rylee, Eva, Nevaeh, Hazel, Piper, Olivia, Avery, Kinsley, Lydia\"\n23703,2017/01/11,I prepare steak for dinner.,I prepare steak for dinner.\n23704,2017/01/11,\"I talked to Layla, Nevaeh for 6 minutes in the morning.\",\"I talked to Layla, Nevaeh for 6 minutes in the morning.\"\n23705,2017/01/11,\"I spent 15 talking to Nora, Avery, Eva, Piper on various topics in the early evening.\",\"I spent 15 talking to Nora, Avery, Eva, Piper on various topics in the early evening.\"\n23706,2017/01/11,I talked to Eva for 22 minutes in the early evening.,I talked to Eva for 22 minutes in the early evening.\n23707,2017/01/11,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n23708,2017/01/11,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n23709,2017/01/12,\"During my trip to Sydney, Australia, I visited Sydney Opera House on 2017/01 with Andrew, Kayden.\",\"During my trip to Sydney, Australia, I visited Sydney Opera House on 2017/01 with Andrew, Kayden.\"\n23710,2017/01/12,\"I ate local food at Bombay Street Kitchen with Andrew, Kayden on  2017/01/12 when I was in Sydney, Australia.\",\"I ate local food at Bombay Street Kitchen with Andrew, Kayden on  2017/01/12 when I was in Sydney, Australia.\"\n23711,2017/01/12,\"I went grocery shopping with Jackson, Willow, Benjamin. I bought some watermelons, raspberries, mango juice, and mouthwash\",\"I went grocery shopping with Jackson, Willow, Benjamin. I bought some watermelons, raspberries, mango juice, and mouthwash\"\n23712,2017/01/12,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n23713,2017/01/12,\"I had lunch with Kayden, Andrew. I ate tacos.\",\"I had lunch with Kayden, Andrew. I ate tacos.\"\n23714,2017/01/12,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n23715,2017/01/12,\"I spent 47 talking to Rylee, Lydia on various topics in the early afternoon.\",\"I spent 47 talking to Rylee, Lydia on various topics in the early afternoon.\"\n23716,2017/01/12,\"I spent 21 talking to Piper, Claire, Rylee on various topics in the late afternoon.\",\"I spent 21 talking to Piper, Claire, Rylee on various topics in the late afternoon.\"\n23717,2017/01/12,\"I talked to Nora, Rylee for 37 minutes late in the evening.\",\"I talked to Nora, Rylee for 37 minutes late in the evening.\"\n23718,2017/01/12,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n23719,2017/01/12,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n23720,2017/01/13,\"During my trip to Sydney, Australia, I visited Sydney Harbour Bridge on 2017/01 with Andrew, Kayden.\",\"During my trip to Sydney, Australia, I visited Sydney Harbour Bridge on 2017/01 with Andrew, Kayden.\"\n23721,2017/01/13,\"I ate street food at Love Crepe with Andrew, Kayden on  2017/01/13 when I was in Sydney, Australia.\",\"I ate street food at Love Crepe with Andrew, Kayden on  2017/01/13 when I was in Sydney, Australia.\"\n23722,2017/01/13,\"On 2017/01/13, I took Chris on a date to a park\",\"On 2017/01/13, I took Chris on a date to a park\"\n23723,2017/01/13,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n23724,2017/01/13,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n23725,2017/01/13,\"I had dinner with Andrew, Emily, Kayden, Carter. I ate steak.\",\"I had dinner with Andrew, Emily, Kayden, Carter. I ate steak.\"\n23726,2017/01/13,I spent 26 talking to Kinsley on various topics during lunch hours.,I spent 26 talking to Kinsley on various topics during lunch hours.\n23727,2017/01/13,\"I talked to Eva, Claire, Piper for 34 minutes in the early afternoon.\",\"I talked to Eva, Claire, Piper for 34 minutes in the early afternoon.\"\n23728,2017/01/13,I talked to Avery for 48 minutes in the late afternoon.,I talked to Avery for 48 minutes in the late afternoon.\n23729,2017/01/13,I spent 49 talking to Nevaeh on various topics in the early evening.,I spent 49 talking to Nevaeh on various topics in the early evening.\n23730,2017/01/13,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n23731,2017/01/13,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n23732,2017/01/14,\"I ate Italian food at Thievery Chicken & Charcoal with Andrew, Kayden on  2017/01/14 when I was in Sydney, Australia.\",\"I ate Italian food at Thievery Chicken & Charcoal with Andrew, Kayden on  2017/01/14 when I was in Sydney, Australia.\"\n23733,2017/01/14,I had cereals for breakfast with Kayden,I had cereals for breakfast with Kayden\n23734,2017/01/14,\"I had sandwich for lunch with Kayden, Emily, Carter, Andrew\",\"I had sandwich for lunch with Kayden, Emily, Carter, Andrew\"\n23735,2017/01/14,I prepare a burger for dinner.,I prepare a burger for dinner.\n23736,2017/01/14,\"I spent 25 talking to Hazel, Nora, Claire, Olivia on various topics in the morning.\",\"I spent 25 talking to Hazel, Nora, Claire, Olivia on various topics in the morning.\"\n23737,2017/01/14,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n23738,2017/01/14,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n23739,2017/01/15,\"I ate Japanese food at Thievery Chicken & Charcoal with Andrew, Kayden on  2017/01/15 when I was in Sydney, Australia.\",\"I ate Japanese food at Thievery Chicken & Charcoal with Andrew, Kayden on  2017/01/15 when I was in Sydney, Australia.\"\n23740,2017/01/15,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n23741,2017/01/15,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n23742,2017/01/15,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n23743,2017/01/15,I spent 49 talking to Piper on various topics in the early evening.,I spent 49 talking to Piper on various topics in the early evening.\n23744,2017/01/15,I spent 28 talking to Piper on various topics in the morning.,I spent 28 talking to Piper on various topics in the morning.\n23745,2017/01/15,\"I spent 46 talking to Lydia, Hazel on various topics in the late afternoon.\",\"I spent 46 talking to Lydia, Hazel on various topics in the late afternoon.\"\n23746,2017/01/15,\"I talked to Nevaeh, Piper for 9 minutes in the morning.\",\"I talked to Nevaeh, Piper for 9 minutes in the morning.\"\n23747,2017/01/15,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n23748,2017/01/15,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n23749,2017/01/16,\"I ate local food at Bombay Street Kitchen with Andrew, Kayden on  2017/01/16 when I was in Sydney, Australia.\",\"I ate local food at Bombay Street Kitchen with Andrew, Kayden on  2017/01/16 when I was in Sydney, Australia.\"\n23750,2017/01/16,\"I bought some pineapples, guava, cherres, apple juice, sports drinks, pineapple juice, toilet paper, body lotion online.\",\"I bought some pineapples, guava, cherres, apple juice, sports drinks, pineapple juice, toilet paper, body lotion online.\"\n23751,2017/01/16,\"I had breakfast with Andrew, Emily. I ate toast and cheese.\",\"I had breakfast with Andrew, Emily. I ate toast and cheese.\"\n23752,2017/01/16,\"I had lunch with Rylee, Kinsley, Olivia, Eva, Piper, Lydia, Nevaeh, Nora, Layla, Hazel, Claire. I ate chinese food.\",\"I had lunch with Rylee, Kinsley, Olivia, Eva, Piper, Lydia, Nevaeh, Nora, Layla, Hazel, Claire. I ate chinese food.\"\n23753,2017/01/16,\"I had fish and chips for dinner with Willow, Benjamin, Avery\",\"I had fish and chips for dinner with Willow, Benjamin, Avery\"\n23754,2017/01/16,\"I talked to Layla, Olivia, Lydia for 34 minutes late in the evening.\",\"I talked to Layla, Olivia, Lydia for 34 minutes late in the evening.\"\n23755,2017/01/16,\"I spent 30 talking to Lydia, Hazel, Layla, Eva on various topics in the early afternoon.\",\"I spent 30 talking to Lydia, Hazel, Layla, Eva on various topics in the early afternoon.\"\n23756,2017/01/16,\"I spent 8 talking to Lydia, Kinsley on various topics in the morning.\",\"I spent 8 talking to Lydia, Kinsley on various topics in the morning.\"\n23757,2017/01/16,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n23758,2017/01/16,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n23759,2017/01/17,\"I ate Japanese food at Bombay Street Kitchen with Andrew, Kayden on  2017/01/17 when I was in Sydney, Australia.\",\"I ate Japanese food at Bombay Street Kitchen with Andrew, Kayden on  2017/01/17 when I was in Sydney, Australia.\"\n23760,2017/01/17,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n23761,2017/01/17,I had lunch. I ate steak.,I had lunch. I ate steak.\n23762,2017/01/17,I ate steak for dinner.,I ate steak for dinner.\n23763,2017/01/17,\"I spent 49 talking to Piper, Nora, Nevaeh on various topics in the late afternoon.\",\"I spent 49 talking to Piper, Nora, Nevaeh on various topics in the late afternoon.\"\n23764,2017/01/17,\"I spent 27 talking to Claire, Rylee, Eva on various topics in the early evening.\",\"I spent 27 talking to Claire, Rylee, Eva on various topics in the early evening.\"\n23765,2017/01/17,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n23766,2017/01/17,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n23767,2017/01/18,I did HIIT on 2017/01/18.,I did HIIT on 2017/01/18.\n23768,2017/01/18,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n23769,2017/01/18,I had chinese food for lunch with Carter,I had chinese food for lunch with Carter\n23770,2017/01/18,I had dinner with Avery. I ate chinese food.,I had dinner with Avery. I ate chinese food.\n23771,2017/01/18,\"I spent 35 talking to Lydia, Nevaeh on various topics in the early evening.\",\"I spent 35 talking to Lydia, Nevaeh on various topics in the early evening.\"\n23772,2017/01/18,I spent 13 talking to Lydia on various topics during lunch hours.,I spent 13 talking to Lydia on various topics during lunch hours.\n23773,2017/01/18,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n23774,2017/01/18,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n23775,2017/01/19,\"I ate Indian food at Thievery Chicken & Charcoal with Andrew, Kayden on  2017/01/19 when I was in Sydney, Australia.\",\"I ate Indian food at Thievery Chicken & Charcoal with Andrew, Kayden on  2017/01/19 when I was in Sydney, Australia.\"\n23776,2017/01/19,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n23777,2017/01/19,\"I had steak for lunch with Kayden, Andrew, Carter, Emily\",\"I had steak for lunch with Kayden, Andrew, Carter, Emily\"\n23778,2017/01/19,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n23779,2017/01/19,\"I spent 40 talking to Claire, Rylee, Lydia on various topics in the early evening.\",\"I spent 40 talking to Claire, Rylee, Lydia on various topics in the early evening.\"\n23780,2017/01/19,I spent 53 talking to Nora on various topics in the morning.,I spent 53 talking to Nora on various topics in the morning.\n23781,2017/01/19,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n23782,2017/01/19,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n23783,2017/01/20,\"I bought some mangos, nectarines, apples, mineral water, mango juice, shampoo, toothbrush, mouth wash, conditioner online.\",\"I bought some mangos, nectarines, apples, mineral water, mango juice, shampoo, toothbrush, mouth wash, conditioner online.\"\n23784,2017/01/20,I did hiking on 2017/01/20.,I did hiking on 2017/01/20.\n23785,2017/01/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n23786,2017/01/20,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n23787,2017/01/20,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n23788,2017/01/20,\"I talked to Avery, Kinsley for 8 minutes late in the evening.\",\"I talked to Avery, Kinsley for 8 minutes late in the evening.\"\n23789,2017/01/20,\"I spent 10 talking to Nora, Nevaeh, Olivia, Avery on various topics in the early afternoon.\",\"I spent 10 talking to Nora, Nevaeh, Olivia, Avery on various topics in the early afternoon.\"\n23790,2017/01/20,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n23791,2017/01/20,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n23792,2017/01/21,\"I ate Japanese food at Bombay Street Kitchen with Andrew, Kayden on  2017/01/21 when I was in Sydney, Australia.\",\"I ate Japanese food at Bombay Street Kitchen with Andrew, Kayden on  2017/01/21 when I was in Sydney, Australia.\"\n23793,2017/01/21,\"On 2017/01/21, I took Theodore on a date to a restaurant\",\"On 2017/01/21, I took Theodore on a date to a restaurant\"\n23794,2017/01/21,\"I had breakfast with Claire, Layla. I ate cereals.\",\"I had breakfast with Claire, Layla. I ate cereals.\"\n23795,2017/01/21,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n23796,2017/01/21,\"I had dinner with Benjamin, Willow, Jackson, Avery. I ate fish and chips.\",\"I had dinner with Benjamin, Willow, Jackson, Avery. I ate fish and chips.\"\n23797,2017/01/21,\"I talked to Avery, Claire, Lydia, Rylee for 25 minutes during lunch hours.\",\"I talked to Avery, Claire, Lydia, Rylee for 25 minutes during lunch hours.\"\n23798,2017/01/21,I talked to Nora for 27 minutes during lunch hours.,I talked to Nora for 27 minutes during lunch hours.\n23799,2017/01/21,\"I spent 44 talking to Rylee, Piper, Nevaeh, Eva on various topics during lunch hours.\",\"I spent 44 talking to Rylee, Piper, Nevaeh, Eva on various topics during lunch hours.\"\n23800,2017/01/21,\"I talked to Olivia, Rylee for 9 minutes in the early afternoon.\",\"I talked to Olivia, Rylee for 9 minutes in the early afternoon.\"\n23801,2017/01/21,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n23802,2017/01/21,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n23803,2017/01/22,I did weight lifting on 2017/01/22.,I did weight lifting on 2017/01/22.\n23804,2017/01/22,\"I had breakfast with Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\"\n23805,2017/01/22,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n23806,2017/01/22,\"I had dinner with Kinsley, Rylee, Eva, Layla, Nevaeh. I ate indian food.\",\"I had dinner with Kinsley, Rylee, Eva, Layla, Nevaeh. I ate indian food.\"\n23807,2017/01/22,I spent 15 talking to Piper on various topics late in the evening.,I spent 15 talking to Piper on various topics late in the evening.\n23808,2017/01/22,\"I talked to Rylee, Kinsley, Lydia, Piper for 33 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley, Lydia, Piper for 33 minutes in the early afternoon.\"\n23809,2017/01/22,\"I spent 23 talking to Olivia, Rylee on various topics in the early afternoon.\",\"I spent 23 talking to Olivia, Rylee on various topics in the early afternoon.\"\n23810,2017/01/22,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n23811,2017/01/22,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n23812,2017/01/23,I did running on 2017/01/23.,I did running on 2017/01/23.\n23813,2017/01/23,\"I had breakfast with Andrew, Carter, Emily. I ate pancakes.\",\"I had breakfast with Andrew, Carter, Emily. I ate pancakes.\"\n23814,2017/01/23,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n23815,2017/01/23,I ate pasta for dinner.,I ate pasta for dinner.\n23816,2017/01/23,\"I spent 7 talking to Lydia, Piper on various topics in the early evening.\",\"I spent 7 talking to Lydia, Piper on various topics in the early evening.\"\n23817,2017/01/23,I talked to Piper for 12 minutes late in the evening.,I talked to Piper for 12 minutes late in the evening.\n23818,2017/01/23,I spent 47 talking to Piper on various topics during lunch hours.,I spent 47 talking to Piper on various topics during lunch hours.\n23819,2017/01/23,\"I talked to Avery, Nevaeh, Hazel, Lydia for 47 minutes late in the evening.\",\"I talked to Avery, Nevaeh, Hazel, Lydia for 47 minutes late in the evening.\"\n23820,2017/01/23,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n23821,2017/01/23,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n23822,2017/01/24,\"I bought some blueberries, pineapples, cherres, orange juice, shaving cream from the grocery store. I saw Jackson, Avery, Benjamin at the grocery store.\",\"I bought some blueberries, pineapples, cherres, orange juice, shaving cream from the grocery store. I saw Jackson, Avery, Benjamin at the grocery store.\"\n23823,2017/01/24,I did HIIT on 2017/01/24.,I did HIIT on 2017/01/24.\n23824,2017/01/24,\"I had breakfast with Eva, Piper, Nevaeh, Lydia, Rylee, Layla, Hazel, Olivia. I ate cereals.\",\"I had breakfast with Eva, Piper, Nevaeh, Lydia, Rylee, Layla, Hazel, Olivia. I ate cereals.\"\n23825,2017/01/24,I ate pasta for lunch.,I ate pasta for lunch.\n23826,2017/01/24,\"I had dinner with Carter, Kayden, Andrew, Emily. I ate tacos.\",\"I had dinner with Carter, Kayden, Andrew, Emily. I ate tacos.\"\n23827,2017/01/24,I spent 47 talking to Nevaeh on various topics in the late afternoon.,I spent 47 talking to Nevaeh on various topics in the late afternoon.\n23828,2017/01/24,\"I spent 33 talking to Rylee, Nora, Avery, Claire on various topics late in the evening.\",\"I spent 33 talking to Rylee, Nora, Avery, Claire on various topics late in the evening.\"\n23829,2017/01/24,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n23830,2017/01/24,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n23831,2017/01/25,\"I bought some apples, mandarins, oranges, guava juice, tea, mango juice, soda, conditioner from the grocery store. I saw Benjamin, Jackson at the grocery store.\",\"I bought some apples, mandarins, oranges, guava juice, tea, mango juice, soda, conditioner from the grocery store. I saw Benjamin, Jackson at the grocery store.\"\n23832,2017/01/25,I did HIIT on 2017/01/25.,I did HIIT on 2017/01/25.\n23833,2017/01/25,\"I had oatmeal for breakfast with Carter, Kayden\",\"I had oatmeal for breakfast with Carter, Kayden\"\n23834,2017/01/25,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n23835,2017/01/25,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n23836,2017/01/25,I talked to Layla for 10 minutes late in the evening.,I talked to Layla for 10 minutes late in the evening.\n23837,2017/01/25,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n23838,2017/01/25,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n23839,2017/01/26,I did running on 2017/01/26.,I did running on 2017/01/26.\n23840,2017/01/26,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n23841,2017/01/26,I ate steak for lunch.,I ate steak for lunch.\n23842,2017/01/26,I prepare steak for dinner.,I prepare steak for dinner.\n23843,2017/01/26,\"I spent 35 talking to Nora, Rylee on various topics in the morning.\",\"I spent 35 talking to Nora, Rylee on various topics in the morning.\"\n23844,2017/01/26,\"I talked to Eva, Hazel, Layla for 23 minutes in the early evening.\",\"I talked to Eva, Hazel, Layla for 23 minutes in the early evening.\"\n23845,2017/01/26,I talked to Rylee for 15 minutes during lunch hours.,I talked to Rylee for 15 minutes during lunch hours.\n23846,2017/01/26,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n23847,2017/01/26,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n23848,2017/01/27,I did biking on 2017/01/27.,I did biking on 2017/01/27.\n23849,2017/01/27,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n23850,2017/01/27,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n23851,2017/01/27,I prepare steak for dinner.,I prepare steak for dinner.\n23852,2017/01/27,\"I talked to Lydia, Hazel, Kinsley, Piper for 39 minutes during lunch hours.\",\"I talked to Lydia, Hazel, Kinsley, Piper for 39 minutes during lunch hours.\"\n23853,2017/01/27,\"I talked to Claire, Eva, Avery, Nora for 45 minutes late in the evening.\",\"I talked to Claire, Eva, Avery, Nora for 45 minutes late in the evening.\"\n23854,2017/01/27,\"I spent 35 talking to Eva, Claire, Nevaeh on various topics in the early evening.\",\"I spent 35 talking to Eva, Claire, Nevaeh on various topics in the early evening.\"\n23855,2017/01/27,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n23856,2017/01/27,I spent 34 minutes watching a tv series on TV today.,I spent 34 minutes watching a tv series on TV today.\n23857,2017/01/28,I went on a date with Jane on 2017/01/28 at a boba shop,I went on a date with Jane on 2017/01/28 at a boba shop\n23858,2017/01/28,I did HIIT on 2017/01/28.,I did HIIT on 2017/01/28.\n23859,2017/01/28,I had pancakes for breakfast with Kayden,I had pancakes for breakfast with Kayden\n23860,2017/01/28,\"I had tacos for lunch with Layla, Avery, Lydia, Olivia, Claire, Piper\",\"I had tacos for lunch with Layla, Avery, Lydia, Olivia, Claire, Piper\"\n23861,2017/01/28,\"I had steak for dinner with Jackson, Benjamin, Willow\",\"I had steak for dinner with Jackson, Benjamin, Willow\"\n23862,2017/01/28,I spent 27 talking to Kinsley on various topics in the early evening.,I spent 27 talking to Kinsley on various topics in the early evening.\n23863,2017/01/28,\"I spent 29 talking to Rylee, Olivia, Claire on various topics late in the evening.\",\"I spent 29 talking to Rylee, Olivia, Claire on various topics late in the evening.\"\n23864,2017/01/28,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n23865,2017/01/28,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n23866,2017/01/29,I did running on 2017/01/29.,I did running on 2017/01/29.\n23867,2017/01/29,\"I had eggs, sausages, and bread for breakfast with Carter, Andrew\",\"I had eggs, sausages, and bread for breakfast with Carter, Andrew\"\n23868,2017/01/29,\"I had lunch with Lydia, Hazel, Layla, Olivia, Nora, Piper, Nevaeh, Eva, Piper, Claire, Avery, Kinsley, Rylee. I ate a burger.\",\"I had lunch with Lydia, Hazel, Layla, Olivia, Nora, Piper, Nevaeh, Eva, Piper, Claire, Avery, Kinsley, Rylee. I ate a burger.\"\n23869,2017/01/29,I prepare indian food for dinner.,I prepare indian food for dinner.\n23870,2017/01/29,\"I spent 44 talking to Olivia, Claire on various topics late in the evening.\",\"I spent 44 talking to Olivia, Claire on various topics late in the evening.\"\n23871,2017/01/29,\"I spent 17 talking to Lydia, Olivia, Nora on various topics during lunch hours.\",\"I spent 17 talking to Lydia, Olivia, Nora on various topics during lunch hours.\"\n23872,2017/01/29,\"I talked to Olivia, Layla, Piper, Lydia for 18 minutes in the late afternoon.\",\"I talked to Olivia, Layla, Piper, Lydia for 18 minutes in the late afternoon.\"\n23873,2017/01/29,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n23874,2017/01/29,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n23875,2017/01/30,I did biking on 2017/01/30.,I did biking on 2017/01/30.\n23876,2017/01/30,I had cereals for breakfast with Andrew,I had cereals for breakfast with Andrew\n23877,2017/01/30,\"I had sushi for lunch with Kayden, Andrew\",\"I had sushi for lunch with Kayden, Andrew\"\n23878,2017/01/30,I had dinner with Kayden. I ate steak.,I had dinner with Kayden. I ate steak.\n23879,2017/01/30,I spent 21 talking to Olivia on various topics in the early afternoon.,I spent 21 talking to Olivia on various topics in the early afternoon.\n23880,2017/01/30,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n23881,2017/01/30,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n23882,2017/01/31,I did HIIT on 2017/01/31.,I did HIIT on 2017/01/31.\n23883,2017/01/31,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n23884,2017/01/31,\"I had lunch with Avery, Benjamin. I ate steak.\",\"I had lunch with Avery, Benjamin. I ate steak.\"\n23885,2017/01/31,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n23886,2017/01/31,\"I talked to Hazel, Eva, Nevaeh for 48 minutes in the late afternoon.\",\"I talked to Hazel, Eva, Nevaeh for 48 minutes in the late afternoon.\"\n23887,2017/01/31,\"I talked to Olivia, Nora, Eva, Nevaeh for 53 minutes in the late afternoon.\",\"I talked to Olivia, Nora, Eva, Nevaeh for 53 minutes in the late afternoon.\"\n23888,2017/01/31,\"I spent 17 talking to Olivia, Nora, Rylee, Piper on various topics in the early afternoon.\",\"I spent 17 talking to Olivia, Nora, Rylee, Piper on various topics in the early afternoon.\"\n23889,2017/01/31,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n23890,2017/01/31,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n23891,2017/02/01,I spent some time yoga on 2017/02/01.,I spent some time yoga on 2017/02/01.\n23892,2017/02/01,I did HIIT on 2017/02/01.,I did HIIT on 2017/02/01.\n23893,2017/02/01,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n23894,2017/02/01,\"I had a burger for lunch with Andrew, Kayden, Carter\",\"I had a burger for lunch with Andrew, Kayden, Carter\"\n23895,2017/02/01,\"I had indian food for dinner with Emily, Carter, Kayden\",\"I had indian food for dinner with Emily, Carter, Kayden\"\n23896,2017/02/01,I spent 55 talking to Avery on various topics in the morning.,I spent 55 talking to Avery on various topics in the morning.\n23897,2017/02/01,\"I talked to Kinsley, Eva, Layla, Rylee for 5 minutes during lunch hours.\",\"I talked to Kinsley, Eva, Layla, Rylee for 5 minutes during lunch hours.\"\n23898,2017/02/01,\"I talked to Avery, Kinsley for 39 minutes during lunch hours.\",\"I talked to Avery, Kinsley for 39 minutes during lunch hours.\"\n23899,2017/02/01,\"I spent 35 talking to Olivia, Piper, Piper on various topics in the late afternoon.\",\"I spent 35 talking to Olivia, Piper, Piper on various topics in the late afternoon.\"\n23900,2017/02/01,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n23901,2017/02/01,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n23902,2017/02/02,\"I went grocery shopping. I bought some cherres, blueberries, bananas, pineapple juice, guava juice, mineral water, and body lotion, toilet paper, paper towel, conditioner\",\"I went grocery shopping. I bought some cherres, blueberries, bananas, pineapple juice, guava juice, mineral water, and body lotion, toilet paper, paper towel, conditioner\"\n23903,2017/02/02,I did biking on 2017/02/02.,I did biking on 2017/02/02.\n23904,2017/02/02,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n23905,2017/02/02,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n23906,2017/02/02,I prepare sushi for dinner.,I prepare sushi for dinner.\n23907,2017/02/02,I spent 23 talking to Layla on various topics in the early evening.,I spent 23 talking to Layla on various topics in the early evening.\n23908,2017/02/02,\"I spent 38 talking to Piper, Olivia, Claire, Hazel on various topics in the late afternoon.\",\"I spent 38 talking to Piper, Olivia, Claire, Hazel on various topics in the late afternoon.\"\n23909,2017/02/02,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n23910,2017/02/02,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n23911,2017/02/03,I did weight lifting on 2017/02/03.,I did weight lifting on 2017/02/03.\n23912,2017/02/03,\"I had pancakes for breakfast with Emily, Carter, Andrew, Kayden\",\"I had pancakes for breakfast with Emily, Carter, Andrew, Kayden\"\n23913,2017/02/03,\"I had lunch with Claire, Lydia, Nevaeh, Piper, Piper, Olivia. I ate steak.\",\"I had lunch with Claire, Lydia, Nevaeh, Piper, Piper, Olivia. I ate steak.\"\n23914,2017/02/03,\"I had dinner with Layla, Rylee, Nevaeh, Avery, Eva, Kinsley, Lydia, Nora. I ate steak.\",\"I had dinner with Layla, Rylee, Nevaeh, Avery, Eva, Kinsley, Lydia, Nora. I ate steak.\"\n23915,2017/02/03,\"I talked to Piper, Avery for 5 minutes in the early evening.\",\"I talked to Piper, Avery for 5 minutes in the early evening.\"\n23916,2017/02/03,\"I talked to Olivia, Piper, Nora for 13 minutes during lunch hours.\",\"I talked to Olivia, Piper, Nora for 13 minutes during lunch hours.\"\n23917,2017/02/03,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n23918,2017/02/03,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n23919,2017/02/04,I did running on 2017/02/04.,I did running on 2017/02/04.\n23920,2017/02/04,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n23921,2017/02/04,I prepare a burger for lunch.,I prepare a burger for lunch.\n23922,2017/02/04,\"I had tacos for dinner with Carter, Andrew, Kayden, Emily\",\"I had tacos for dinner with Carter, Andrew, Kayden, Emily\"\n23923,2017/02/04,\"I talked to Nora, Hazel, Nevaeh for 43 minutes late in the evening.\",\"I talked to Nora, Hazel, Nevaeh for 43 minutes late in the evening.\"\n23924,2017/02/04,\"I spent 9 talking to Piper, Layla on various topics late in the evening.\",\"I spent 9 talking to Piper, Layla on various topics late in the evening.\"\n23925,2017/02/04,\"I talked to Hazel, Piper, Nora, Piper for 41 minutes in the early afternoon.\",\"I talked to Hazel, Piper, Nora, Piper for 41 minutes in the early afternoon.\"\n23926,2017/02/04,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n23927,2017/02/04,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n23928,2017/02/05,\"On 2017/02/05, I took Camila on a date to a park\",\"On 2017/02/05, I took Camila on a date to a park\"\n23929,2017/02/05,I did swimming on 2017/02/05.,I did swimming on 2017/02/05.\n23930,2017/02/05,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n23931,2017/02/05,I prepare indian food for lunch.,I prepare indian food for lunch.\n23932,2017/02/05,I ate steak for dinner.,I ate steak for dinner.\n23933,2017/02/05,\"I spent 32 talking to Piper, Eva, Piper, Olivia on various topics late in the evening.\",\"I spent 32 talking to Piper, Eva, Piper, Olivia on various topics late in the evening.\"\n23934,2017/02/05,\"I talked to Piper, Piper for 24 minutes in the morning.\",\"I talked to Piper, Piper for 24 minutes in the morning.\"\n23935,2017/02/05,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n23936,2017/02/05,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n23937,2017/02/06,\"I spent time gardening on 2017/02/06 with Emily, Kayden.\",\"I spent time gardening on 2017/02/06 with Emily, Kayden.\"\n23938,2017/02/06,I did hiking on 2017/02/06.,I did hiking on 2017/02/06.\n23939,2017/02/06,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n23940,2017/02/06,\"I had lunch with Andrew, Emily, Kayden. I ate tacos.\",\"I had lunch with Andrew, Emily, Kayden. I ate tacos.\"\n23941,2017/02/06,I had indian food for dinner with Benjamin,I had indian food for dinner with Benjamin\n23942,2017/02/06,\"I spent 49 talking to Olivia, Rylee, Layla on various topics in the early evening.\",\"I spent 49 talking to Olivia, Rylee, Layla on various topics in the early evening.\"\n23943,2017/02/06,\"I talked to Nora, Lydia, Claire, Olivia for 48 minutes in the early evening.\",\"I talked to Nora, Lydia, Claire, Olivia for 48 minutes in the early evening.\"\n23944,2017/02/06,\"I spent 38 talking to Nora, Nevaeh, Lydia, Piper on various topics in the late afternoon.\",\"I spent 38 talking to Nora, Nevaeh, Lydia, Piper on various topics in the late afternoon.\"\n23945,2017/02/06,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n23946,2017/02/06,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n23947,2017/02/07,I did swimming on 2017/02/07.,I did swimming on 2017/02/07.\n23948,2017/02/07,I ate cereals for breakfast.,I ate cereals for breakfast.\n23949,2017/02/07,I ate indian food for lunch.,I ate indian food for lunch.\n23950,2017/02/07,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n23951,2017/02/07,\"I talked to Piper, Layla for 20 minutes late in the evening.\",\"I talked to Piper, Layla for 20 minutes late in the evening.\"\n23952,2017/02/07,I talked to Piper for 18 minutes during lunch hours.,I talked to Piper for 18 minutes during lunch hours.\n23953,2017/02/07,I spent 17 talking to Layla on various topics late in the evening.,I spent 17 talking to Layla on various topics late in the evening.\n23954,2017/02/07,I talked to Eva for 33 minutes in the morning.,I talked to Eva for 33 minutes in the morning.\n23955,2017/02/07,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n23956,2017/02/07,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n23957,2017/02/08,I did hiking on 2017/02/08.,I did hiking on 2017/02/08.\n23958,2017/02/08,I had cereals for breakfast with Kayden,I had cereals for breakfast with Kayden\n23959,2017/02/08,I prepare a burger for lunch.,I prepare a burger for lunch.\n23960,2017/02/08,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n23961,2017/02/08,\"I talked to Nora, Lydia, Claire, Nevaeh for 45 minutes in the early evening.\",\"I talked to Nora, Lydia, Claire, Nevaeh for 45 minutes in the early evening.\"\n23962,2017/02/08,\"I talked to Avery, Lydia, Piper, Kinsley for 25 minutes late in the evening.\",\"I talked to Avery, Lydia, Piper, Kinsley for 25 minutes late in the evening.\"\n23963,2017/02/08,\"I talked to Nevaeh, Olivia, Kinsley, Piper for 49 minutes in the morning.\",\"I talked to Nevaeh, Olivia, Kinsley, Piper for 49 minutes in the morning.\"\n23964,2017/02/08,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n23965,2017/02/08,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n23966,2017/02/09,I did hiking on 2017/02/09.,I did hiking on 2017/02/09.\n23967,2017/02/09,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n23968,2017/02/09,I had sushi for lunch with Emily,I had sushi for lunch with Emily\n23969,2017/02/09,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n23970,2017/02/09,\"I spent 47 talking to Lydia, Layla, Olivia, Piper on various topics in the early afternoon.\",\"I spent 47 talking to Lydia, Layla, Olivia, Piper on various topics in the early afternoon.\"\n23971,2017/02/09,\"I talked to Layla, Claire, Avery, Piper for 34 minutes in the early evening.\",\"I talked to Layla, Claire, Avery, Piper for 34 minutes in the early evening.\"\n23972,2017/02/09,\"I talked to Nora, Layla, Nevaeh, Rylee for 15 minutes late in the evening.\",\"I talked to Nora, Layla, Nevaeh, Rylee for 15 minutes late in the evening.\"\n23973,2017/02/09,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n23974,2017/02/09,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n23975,2017/02/10,I did swimming on 2017/02/10.,I did swimming on 2017/02/10.\n23976,2017/02/10,I had toast and cheese for breakfast with Benjamin,I had toast and cheese for breakfast with Benjamin\n23977,2017/02/10,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n23978,2017/02/10,\"I had dinner with Claire, Eva, Piper, Hazel, Layla, Avery, Nora, Piper, Nevaeh, Rylee, Lydia, Kinsley. I ate sushi.\",\"I had dinner with Claire, Eva, Piper, Hazel, Layla, Avery, Nora, Piper, Nevaeh, Rylee, Lydia, Kinsley. I ate sushi.\"\n23979,2017/02/10,\"I spent 9 talking to Avery, Nora, Piper, Hazel on various topics late in the evening.\",\"I spent 9 talking to Avery, Nora, Piper, Hazel on various topics late in the evening.\"\n23980,2017/02/10,\"I spent 10 talking to Layla, Eva, Lydia on various topics during lunch hours.\",\"I spent 10 talking to Layla, Eva, Lydia on various topics during lunch hours.\"\n23981,2017/02/10,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n23982,2017/02/10,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n23983,2017/02/11,\"On 2017/02/11, I took Easton on a date to a restaurant\",\"On 2017/02/11, I took Easton on a date to a restaurant\"\n23984,2017/02/11,\"I went grocery shopping with Claire, Lydia, Avery, Hazel, Piper, Layla, Rylee, Piper, Eva, Kinsley. I bought some mangos, strawberries, oranges, mandarins, tea, and mouth wash\",\"I went grocery shopping with Claire, Lydia, Avery, Hazel, Piper, Layla, Rylee, Piper, Eva, Kinsley. I bought some mangos, strawberries, oranges, mandarins, tea, and mouth wash\"\n23985,2017/02/11,I ate cereals for breakfast.,I ate cereals for breakfast.\n23986,2017/02/11,\"I had sushi for lunch with Kayden, Andrew, Carter, Emily\",\"I had sushi for lunch with Kayden, Andrew, Carter, Emily\"\n23987,2017/02/11,\"I had steak for dinner with Kayden, Andrew, Emily, Carter\",\"I had steak for dinner with Kayden, Andrew, Emily, Carter\"\n23988,2017/02/11,I talked to Piper for 10 minutes during lunch hours.,I talked to Piper for 10 minutes during lunch hours.\n23989,2017/02/11,I talked to Rylee for 15 minutes late in the evening.,I talked to Rylee for 15 minutes late in the evening.\n23990,2017/02/11,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n23991,2017/02/11,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n23992,2017/02/12,I did swimming on 2017/02/12.,I did swimming on 2017/02/12.\n23993,2017/02/12,I had breakfast with Carter. I ate peanut-butter-jam.,I had breakfast with Carter. I ate peanut-butter-jam.\n23994,2017/02/12,I had tacos for lunch with Carter,I had tacos for lunch with Carter\n23995,2017/02/12,I had dinner. I ate steak.,I had dinner. I ate steak.\n23996,2017/02/12,\"I spent 32 talking to Nora, Eva, Hazel, Layla on various topics in the early evening.\",\"I spent 32 talking to Nora, Eva, Hazel, Layla on various topics in the early evening.\"\n23997,2017/02/12,\"I talked to Nevaeh, Layla for 25 minutes in the morning.\",\"I talked to Nevaeh, Layla for 25 minutes in the morning.\"\n23998,2017/02/12,\"I spent 13 talking to Nevaeh, Piper on various topics late in the evening.\",\"I spent 13 talking to Nevaeh, Piper on various topics late in the evening.\"\n23999,2017/02/12,\"I talked to Avery, Eva for 29 minutes late in the evening.\",\"I talked to Avery, Eva for 29 minutes late in the evening.\"\n24000,2017/02/12,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n24001,2017/02/12,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n24002,2017/02/13,\"I went grocery shopping. I bought some clementines, oranges, watermelons, orange juice, soda, tea, coffee, and facial wash, shampoo, toothbrush\",\"I went grocery shopping. I bought some clementines, oranges, watermelons, orange juice, soda, tea, coffee, and facial wash, shampoo, toothbrush\"\n24003,2017/02/13,I did biking on 2017/02/13.,I did biking on 2017/02/13.\n24004,2017/02/13,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n24005,2017/02/13,I ate steak for lunch.,I ate steak for lunch.\n24006,2017/02/13,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n24007,2017/02/13,\"I spent 31 talking to Olivia, Piper on various topics in the morning.\",\"I spent 31 talking to Olivia, Piper on various topics in the morning.\"\n24008,2017/02/13,\"I spent 46 talking to Hazel, Lydia, Claire, Olivia on various topics late in the evening.\",\"I spent 46 talking to Hazel, Lydia, Claire, Olivia on various topics late in the evening.\"\n24009,2017/02/13,\"I spent 46 talking to Piper, Avery, Piper, Kinsley on various topics in the early evening.\",\"I spent 46 talking to Piper, Avery, Piper, Kinsley on various topics in the early evening.\"\n24010,2017/02/13,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n24011,2017/02/13,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n24012,2017/02/14,I went on a date with Aaliyah on 2017/02/14 at a boba shop,I went on a date with Aaliyah on 2017/02/14 at a boba shop\n24013,2017/02/14,I did running on 2017/02/14.,I did running on 2017/02/14.\n24014,2017/02/14,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n24015,2017/02/14,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n24016,2017/02/14,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n24017,2017/02/14,\"I talked to Avery, Layla for 38 minutes in the early afternoon.\",\"I talked to Avery, Layla for 38 minutes in the early afternoon.\"\n24018,2017/02/14,\"I talked to Avery, Claire, Piper, Olivia for 49 minutes in the late afternoon.\",\"I talked to Avery, Claire, Piper, Olivia for 49 minutes in the late afternoon.\"\n24019,2017/02/14,\"I talked to Eva, Claire, Avery for 44 minutes during lunch hours.\",\"I talked to Eva, Claire, Avery for 44 minutes during lunch hours.\"\n24020,2017/02/14,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n24021,2017/02/14,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n24022,2017/02/15,I did hiking on 2017/02/15.,I did hiking on 2017/02/15.\n24023,2017/02/15,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n24024,2017/02/15,I had lunch with Nevaeh. I ate a burger.,I had lunch with Nevaeh. I ate a burger.\n24025,2017/02/15,I ate tacos for dinner.,I ate tacos for dinner.\n24026,2017/02/15,\"I spent 54 talking to Hazel, Nora on various topics in the early evening.\",\"I spent 54 talking to Hazel, Nora on various topics in the early evening.\"\n24027,2017/02/15,\"I talked to Piper, Olivia, Layla for 31 minutes in the morning.\",\"I talked to Piper, Olivia, Layla for 31 minutes in the morning.\"\n24028,2017/02/15,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n24029,2017/02/15,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n24030,2017/02/16,I did biking on 2017/02/16.,I did biking on 2017/02/16.\n24031,2017/02/16,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n24032,2017/02/16,\"I had tacos for lunch with Avery, Willow, Jackson\",\"I had tacos for lunch with Avery, Willow, Jackson\"\n24033,2017/02/16,I ate chinese food for dinner.,I ate chinese food for dinner.\n24034,2017/02/16,\"I spent 50 talking to Piper, Nora on various topics during lunch hours.\",\"I spent 50 talking to Piper, Nora on various topics during lunch hours.\"\n24035,2017/02/16,\"I talked to Layla, Piper, Piper for 21 minutes during lunch hours.\",\"I talked to Layla, Piper, Piper for 21 minutes during lunch hours.\"\n24036,2017/02/16,\"I talked to Hazel, Avery, Eva for 16 minutes in the early afternoon.\",\"I talked to Hazel, Avery, Eva for 16 minutes in the early afternoon.\"\n24037,2017/02/16,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n24038,2017/02/16,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n24039,2017/02/17,I did weight lifting on 2017/02/17.,I did weight lifting on 2017/02/17.\n24040,2017/02/17,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n24041,2017/02/17,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n24042,2017/02/17,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n24043,2017/02/17,I spent 52 talking to Rylee on various topics in the early afternoon.,I spent 52 talking to Rylee on various topics in the early afternoon.\n24044,2017/02/17,\"I spent 25 talking to Eva, Avery, Rylee on various topics in the early afternoon.\",\"I spent 25 talking to Eva, Avery, Rylee on various topics in the early afternoon.\"\n24045,2017/02/17,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n24046,2017/02/17,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n24047,2017/02/18,I went on a date with Luke on 2017/02/18 at a coffee Shop,I went on a date with Luke on 2017/02/18 at a coffee Shop\n24048,2017/02/18,\"I went grocery shopping with Carter, Emily, Kayden. I bought some watermelons, blackberries, apricots, soda, chocolate milk, and toothbrush\",\"I went grocery shopping with Carter, Emily, Kayden. I bought some watermelons, blackberries, apricots, soda, chocolate milk, and toothbrush\"\n24049,2017/02/18,I did weight lifting on 2017/02/18.,I did weight lifting on 2017/02/18.\n24050,2017/02/18,I ate cereals for breakfast.,I ate cereals for breakfast.\n24051,2017/02/18,I ate steak for lunch.,I ate steak for lunch.\n24052,2017/02/18,I prepare steak for dinner.,I prepare steak for dinner.\n24053,2017/02/18,I talked to Avery for 24 minutes in the early evening.,I talked to Avery for 24 minutes in the early evening.\n24054,2017/02/18,I talked to Nora for 16 minutes during lunch hours.,I talked to Nora for 16 minutes during lunch hours.\n24055,2017/02/18,\"I talked to Nevaeh, Piper for 37 minutes late in the evening.\",\"I talked to Nevaeh, Piper for 37 minutes late in the evening.\"\n24056,2017/02/18,\"I spent 42 talking to Nevaeh, Olivia, Hazel on various topics in the early afternoon.\",\"I spent 42 talking to Nevaeh, Olivia, Hazel on various topics in the early afternoon.\"\n24057,2017/02/18,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n24058,2017/02/18,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n24059,2017/02/19,I did running on 2017/02/19.,I did running on 2017/02/19.\n24060,2017/02/19,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n24061,2017/02/19,\"I had lunch with Andrew, Kayden, Carter. I ate tacos.\",\"I had lunch with Andrew, Kayden, Carter. I ate tacos.\"\n24062,2017/02/19,\"I had chinese food for dinner with Andrew, Kayden, Emily\",\"I had chinese food for dinner with Andrew, Kayden, Emily\"\n24063,2017/02/19,\"I spent 35 talking to Rylee, Nora, Hazel, Layla on various topics late in the evening.\",\"I spent 35 talking to Rylee, Nora, Hazel, Layla on various topics late in the evening.\"\n24064,2017/02/19,\"I talked to Lydia, Olivia, Piper for 10 minutes in the late afternoon.\",\"I talked to Lydia, Olivia, Piper for 10 minutes in the late afternoon.\"\n24065,2017/02/19,\"I spent 34 talking to Lydia, Piper, Rylee, Nora on various topics in the early evening.\",\"I spent 34 talking to Lydia, Piper, Rylee, Nora on various topics in the early evening.\"\n24066,2017/02/19,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n24067,2017/02/19,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n24068,2017/02/20,\"I had pancakes for breakfast with Lydia, Layla, Piper, Rylee, Kinsley, Nora\",\"I had pancakes for breakfast with Lydia, Layla, Piper, Rylee, Kinsley, Nora\"\n24069,2017/02/20,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n24070,2017/02/20,I ate pasta for dinner.,I ate pasta for dinner.\n24071,2017/02/20,\"I spent 35 talking to Olivia, Nora on various topics during lunch hours.\",\"I spent 35 talking to Olivia, Nora on various topics during lunch hours.\"\n24072,2017/02/20,\"I talked to Piper, Nora, Eva, Claire for 37 minutes in the early evening.\",\"I talked to Piper, Nora, Eva, Claire for 37 minutes in the early evening.\"\n24073,2017/02/20,\"I talked to Lydia, Eva for 20 minutes during lunch hours.\",\"I talked to Lydia, Eva for 20 minutes during lunch hours.\"\n24074,2017/02/20,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n24075,2017/02/20,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n24076,2017/02/21,I did HIIT on 2017/02/21.,I did HIIT on 2017/02/21.\n24077,2017/02/21,\"I had eggs, sausages, and bread for breakfast with Emily, Andrew\",\"I had eggs, sausages, and bread for breakfast with Emily, Andrew\"\n24078,2017/02/21,\"I had lunch with Olivia, Eva, Nevaeh, Layla, Lydia, Claire, Nora, Piper, Rylee, Kinsley, Hazel, Piper. I ate indian food.\",\"I had lunch with Olivia, Eva, Nevaeh, Layla, Lydia, Claire, Nora, Piper, Rylee, Kinsley, Hazel, Piper. I ate indian food.\"\n24079,2017/02/21,I had indian food for dinner with Kayden,I had indian food for dinner with Kayden\n24080,2017/02/21,\"I talked to Kinsley, Nevaeh, Piper, Nora for 30 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh, Piper, Nora for 30 minutes late in the evening.\"\n24081,2017/02/21,\"I talked to Piper, Rylee, Nevaeh for 48 minutes in the early evening.\",\"I talked to Piper, Rylee, Nevaeh for 48 minutes in the early evening.\"\n24082,2017/02/21,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n24083,2017/02/21,I spent 29 minutes watching a documentary on TV today.,I spent 29 minutes watching a documentary on TV today.\n24084,2017/02/22,I went on a date with Michael on 2017/02/22 at a boba shop,I went on a date with Michael on 2017/02/22 at a boba shop\n24085,2017/02/22,I did weight lifting on 2017/02/22.,I did weight lifting on 2017/02/22.\n24086,2017/02/22,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n24087,2017/02/22,I had lunch. I ate steak.,I had lunch. I ate steak.\n24088,2017/02/22,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n24089,2017/02/22,I talked to Lydia for 20 minutes during lunch hours.,I talked to Lydia for 20 minutes during lunch hours.\n24090,2017/02/22,\"I talked to Kinsley, Nevaeh, Piper for 11 minutes in the early evening.\",\"I talked to Kinsley, Nevaeh, Piper for 11 minutes in the early evening.\"\n24091,2017/02/22,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n24092,2017/02/22,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n24093,2017/02/23,I did swimming on 2017/02/23.,I did swimming on 2017/02/23.\n24094,2017/02/23,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n24095,2017/02/23,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n24096,2017/02/23,\"I had dinner with Kayden, Carter, Andrew. I ate sushi.\",\"I had dinner with Kayden, Carter, Andrew. I ate sushi.\"\n24097,2017/02/23,\"I spent 29 talking to Kinsley, Hazel, Piper on various topics late in the evening.\",\"I spent 29 talking to Kinsley, Hazel, Piper on various topics late in the evening.\"\n24098,2017/02/23,\"I talked to Eva, Kinsley, Piper for 55 minutes in the late afternoon.\",\"I talked to Eva, Kinsley, Piper for 55 minutes in the late afternoon.\"\n24099,2017/02/23,I spent 38 talking to Kinsley on various topics in the late afternoon.,I spent 38 talking to Kinsley on various topics in the late afternoon.\n24100,2017/02/23,\"I talked to Piper, Nevaeh, Layla, Olivia for 53 minutes during lunch hours.\",\"I talked to Piper, Nevaeh, Layla, Olivia for 53 minutes during lunch hours.\"\n24101,2017/02/23,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n24102,2017/02/23,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n24103,2017/02/24,\"I entertained Layla at my place on 2017/02/24 and cook crockpot spareribs, turkey shepherd’s pie\",\"I entertained Layla at my place on 2017/02/24 and cook crockpot spareribs, turkey shepherd’s pie\"\n24104,2017/02/24,I did running on 2017/02/24.,I did running on 2017/02/24.\n24105,2017/02/24,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n24106,2017/02/24,\"I had fish and chips for lunch with Willow, Benjamin\",\"I had fish and chips for lunch with Willow, Benjamin\"\n24107,2017/02/24,I had dinner with Carter. I ate a burger.,I had dinner with Carter. I ate a burger.\n24108,2017/02/24,\"I spent 36 talking to Piper, Nevaeh, Layla, Piper on various topics in the early afternoon.\",\"I spent 36 talking to Piper, Nevaeh, Layla, Piper on various topics in the early afternoon.\"\n24109,2017/02/24,\"I talked to Nora, Rylee, Hazel for 8 minutes in the early evening.\",\"I talked to Nora, Rylee, Hazel for 8 minutes in the early evening.\"\n24110,2017/02/24,\"I talked to Avery, Claire, Layla for 24 minutes late in the evening.\",\"I talked to Avery, Claire, Layla for 24 minutes late in the evening.\"\n24111,2017/02/24,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n24112,2017/02/24,I spent 31 minutes watching a tv series on TV today.,I spent 31 minutes watching a tv series on TV today.\n24113,2017/02/25,\"I was baking pistachio oat squares on 2017/02/25 with Piper, Eva at my place\",\"I was baking pistachio oat squares on 2017/02/25 with Piper, Eva at my place\"\n24114,2017/02/25,\"I went grocery shopping. I bought some peaches, nectarines, apples, orange juice, chocolate milk, apple juice, and shampoo\",\"I went grocery shopping. I bought some peaches, nectarines, apples, orange juice, chocolate milk, apple juice, and shampoo\"\n24115,2017/02/25,I did HIIT on 2017/02/25.,I did HIIT on 2017/02/25.\n24116,2017/02/25,I had breakfast with Piper. I ate peanut-butter-jam.,I had breakfast with Piper. I ate peanut-butter-jam.\n24117,2017/02/25,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n24118,2017/02/25,I had dinner with Andrew. I ate tacos.,I had dinner with Andrew. I ate tacos.\n24119,2017/02/25,\"I spent 20 talking to Piper, Nevaeh, Hazel on various topics in the early afternoon.\",\"I spent 20 talking to Piper, Nevaeh, Hazel on various topics in the early afternoon.\"\n24120,2017/02/25,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n24121,2017/02/25,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n24122,2017/02/26,\"I went grocery shopping with Lydia, Claire, Piper, Nevaeh, Olivia, Eva, Rylee, Kinsley, Nora, Avery, Hazel. I bought some strawberries, soda, mineral water, chocolate milk, and mouth wash, paper towel, toilet paper\",\"I went grocery shopping with Lydia, Claire, Piper, Nevaeh, Olivia, Eva, Rylee, Kinsley, Nora, Avery, Hazel. I bought some strawberries, soda, mineral water, chocolate milk, and mouth wash, paper towel, toilet paper\"\n24123,2017/02/26,I did HIIT on 2017/02/26.,I did HIIT on 2017/02/26.\n24124,2017/02/26,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n24125,2017/02/26,\"I had a burger for lunch with Piper, Claire\",\"I had a burger for lunch with Piper, Claire\"\n24126,2017/02/26,I had dinner with Carter. I ate tacos.,I had dinner with Carter. I ate tacos.\n24127,2017/02/26,\"I spent 38 talking to Piper, Layla, Hazel, Rylee on various topics in the morning.\",\"I spent 38 talking to Piper, Layla, Hazel, Rylee on various topics in the morning.\"\n24128,2017/02/26,\"I talked to Eva, Avery, Layla for 12 minutes late in the evening.\",\"I talked to Eva, Avery, Layla for 12 minutes late in the evening.\"\n24129,2017/02/26,\"I talked to Avery, Layla, Eva, Piper for 34 minutes in the late afternoon.\",\"I talked to Avery, Layla, Eva, Piper for 34 minutes in the late afternoon.\"\n24130,2017/02/26,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n24131,2017/02/26,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n24132,2017/02/27,I really enjoyed meditation on 2017/02/27,I really enjoyed meditation on 2017/02/27\n24133,2017/02/27,I did swimming on 2017/02/27.,I did swimming on 2017/02/27.\n24134,2017/02/27,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n24135,2017/02/27,I prepare indian food for lunch.,I prepare indian food for lunch.\n24136,2017/02/27,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n24137,2017/02/27,I talked to Claire for 43 minutes in the early afternoon.,I talked to Claire for 43 minutes in the early afternoon.\n24138,2017/02/27,I spent 42 talking to Kinsley on various topics in the early evening.,I spent 42 talking to Kinsley on various topics in the early evening.\n24139,2017/02/27,\"I spent 18 talking to Kinsley, Piper, Claire, Eva on various topics during lunch hours.\",\"I spent 18 talking to Kinsley, Piper, Claire, Eva on various topics during lunch hours.\"\n24140,2017/02/27,\"I talked to Claire, Layla, Kinsley for 15 minutes in the late afternoon.\",\"I talked to Claire, Layla, Kinsley for 15 minutes in the late afternoon.\"\n24141,2017/02/27,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n24142,2017/02/27,I spent 22 minutes watching a movie on TV today.,I spent 22 minutes watching a movie on TV today.\n24143,2017/02/28,I did weight lifting on 2017/02/28.,I did weight lifting on 2017/02/28.\n24144,2017/02/28,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n24145,2017/02/28,I ate sandwich for lunch.,I ate sandwich for lunch.\n24146,2017/02/28,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n24147,2017/02/28,\"I talked to Piper, Eva for 37 minutes in the morning.\",\"I talked to Piper, Eva for 37 minutes in the morning.\"\n24148,2017/02/28,\"I spent 23 talking to Layla, Avery, Kinsley, Lydia on various topics in the late afternoon.\",\"I spent 23 talking to Layla, Avery, Kinsley, Lydia on various topics in the late afternoon.\"\n24149,2017/02/28,I talked to Piper for 40 minutes late in the evening.,I talked to Piper for 40 minutes late in the evening.\n24150,2017/02/28,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n24151,2017/02/28,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n24152,2017/03/01,I did swimming on 2017/03/01.,I did swimming on 2017/03/01.\n24153,2017/03/01,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n24154,2017/03/01,I prepare a burger for lunch.,I prepare a burger for lunch.\n24155,2017/03/01,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n24156,2017/03/01,\"I talked to Eva, Nora, Hazel for 9 minutes in the early afternoon.\",\"I talked to Eva, Nora, Hazel for 9 minutes in the early afternoon.\"\n24157,2017/03/01,\"I talked to Nevaeh, Piper, Nora, Claire for 14 minutes in the morning.\",\"I talked to Nevaeh, Piper, Nora, Claire for 14 minutes in the morning.\"\n24158,2017/03/01,\"I talked to Piper, Claire, Olivia, Layla for 48 minutes late in the evening.\",\"I talked to Piper, Claire, Olivia, Layla for 48 minutes late in the evening.\"\n24159,2017/03/01,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n24160,2017/03/01,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n24161,2017/03/02,\"I bought some apples, oranges, apricots, soda, chocolate milk, shampoo, paper towel, body lotion, shaving cream from the grocery store. I saw Nevaeh, Hazel, Piper, Avery, Piper, Lydia, Layla, Claire, Nora, Olivia, Eva at the grocery store.\",\"I bought some apples, oranges, apricots, soda, chocolate milk, shampoo, paper towel, body lotion, shaving cream from the grocery store. I saw Nevaeh, Hazel, Piper, Avery, Piper, Lydia, Layla, Claire, Nora, Olivia, Eva at the grocery store.\"\n24162,2017/03/02,I had peanut-butter-jam for breakfast with Kinsley,I had peanut-butter-jam for breakfast with Kinsley\n24163,2017/03/02,I prepare sushi for lunch.,I prepare sushi for lunch.\n24164,2017/03/02,I ate pasta for dinner.,I ate pasta for dinner.\n24165,2017/03/02,I talked to Layla for 54 minutes late in the evening.,I talked to Layla for 54 minutes late in the evening.\n24166,2017/03/02,I spent 40 talking to Hazel on various topics in the late afternoon.,I spent 40 talking to Hazel on various topics in the late afternoon.\n24167,2017/03/02,\"I spent 14 talking to Nevaeh, Claire, Eva on various topics in the morning.\",\"I spent 14 talking to Nevaeh, Claire, Eva on various topics in the morning.\"\n24168,2017/03/02,\"I talked to Eva, Claire, Hazel for 16 minutes in the late afternoon.\",\"I talked to Eva, Claire, Hazel for 16 minutes in the late afternoon.\"\n24169,2017/03/02,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n24170,2017/03/02,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n24171,2017/03/03,I did swimming on 2017/03/03.,I did swimming on 2017/03/03.\n24172,2017/03/03,\"I had breakfast with Kinsley, Claire, Layla, Nora, Nevaeh, Olivia. I ate eggs, sausages, and bread.\",\"I had breakfast with Kinsley, Claire, Layla, Nora, Nevaeh, Olivia. I ate eggs, sausages, and bread.\"\n24173,2017/03/03,\"I had steak for lunch with Avery, Jackson, Willow, Benjamin\",\"I had steak for lunch with Avery, Jackson, Willow, Benjamin\"\n24174,2017/03/03,I ate a burger for dinner.,I ate a burger for dinner.\n24175,2017/03/03,\"I talked to Nevaeh, Piper for 23 minutes in the early evening.\",\"I talked to Nevaeh, Piper for 23 minutes in the early evening.\"\n24176,2017/03/03,\"I spent 24 talking to Nevaeh, Olivia on various topics late in the evening.\",\"I spent 24 talking to Nevaeh, Olivia on various topics late in the evening.\"\n24177,2017/03/03,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n24178,2017/03/03,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n24179,2017/03/04,I did hiking on 2017/03/04.,I did hiking on 2017/03/04.\n24180,2017/03/04,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n24181,2017/03/04,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n24182,2017/03/04,I prepare sushi for dinner.,I prepare sushi for dinner.\n24183,2017/03/04,\"I spent 34 talking to Layla, Rylee on various topics during lunch hours.\",\"I spent 34 talking to Layla, Rylee on various topics during lunch hours.\"\n24184,2017/03/04,I spent 44 talking to Piper on various topics in the early afternoon.,I spent 44 talking to Piper on various topics in the early afternoon.\n24185,2017/03/04,\"I spent 28 talking to Layla, Hazel on various topics during lunch hours.\",\"I spent 28 talking to Layla, Hazel on various topics during lunch hours.\"\n24186,2017/03/04,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n24187,2017/03/04,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n24188,2017/03/05,\"On 2017/03/05, I took Leonardo on a date to a coffee Shop\",\"On 2017/03/05, I took Leonardo on a date to a coffee Shop\"\n24189,2017/03/05,\"I had toast and cheese for breakfast with Carter, Kayden, Emily\",\"I had toast and cheese for breakfast with Carter, Kayden, Emily\"\n24190,2017/03/05,\"I had sandwich for lunch with Carter, Emily, Kayden, Andrew\",\"I had sandwich for lunch with Carter, Emily, Kayden, Andrew\"\n24191,2017/03/05,\"I had dinner with Olivia, Nora, Layla. I ate fish and chips.\",\"I had dinner with Olivia, Nora, Layla. I ate fish and chips.\"\n24192,2017/03/05,\"I talked to Olivia, Hazel, Piper, Piper for 9 minutes in the morning.\",\"I talked to Olivia, Hazel, Piper, Piper for 9 minutes in the morning.\"\n24193,2017/03/05,\"I spent 52 talking to Eva, Piper, Lydia, Claire on various topics in the early afternoon.\",\"I spent 52 talking to Eva, Piper, Lydia, Claire on various topics in the early afternoon.\"\n24194,2017/03/05,\"I talked to Kinsley, Hazel, Piper for 32 minutes in the late afternoon.\",\"I talked to Kinsley, Hazel, Piper for 32 minutes in the late afternoon.\"\n24195,2017/03/05,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n24196,2017/03/05,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n24197,2017/03/06,I took my parents for their for an annual vision checkup on 2017/03/06 at the hospital.,I took my parents for their for an annual vision checkup on 2017/03/06 at the hospital.\n24198,2017/03/06,I did running on 2017/03/06.,I did running on 2017/03/06.\n24199,2017/03/06,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n24200,2017/03/06,\"I had sushi for lunch with Willow, Benjamin, Avery\",\"I had sushi for lunch with Willow, Benjamin, Avery\"\n24201,2017/03/06,I ate pasta for dinner.,I ate pasta for dinner.\n24202,2017/03/06,I talked to Piper for 7 minutes in the early evening.,I talked to Piper for 7 minutes in the early evening.\n24203,2017/03/06,\"I spent 28 talking to Eva, Claire on various topics in the morning.\",\"I spent 28 talking to Eva, Claire on various topics in the morning.\"\n24204,2017/03/06,I talked to Hazel for 10 minutes in the early evening.,I talked to Hazel for 10 minutes in the early evening.\n24205,2017/03/06,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n24206,2017/03/06,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n24207,2017/03/07,I did biking on 2017/03/07.,I did biking on 2017/03/07.\n24208,2017/03/07,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n24209,2017/03/07,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n24210,2017/03/07,\"I had dinner with Carter, Andrew. I ate a burger.\",\"I had dinner with Carter, Andrew. I ate a burger.\"\n24211,2017/03/07,\"I spent 22 talking to Kinsley, Lydia on various topics in the morning.\",\"I spent 22 talking to Kinsley, Lydia on various topics in the morning.\"\n24212,2017/03/07,\"I talked to Avery, Olivia, Hazel, Kinsley for 9 minutes late in the evening.\",\"I talked to Avery, Olivia, Hazel, Kinsley for 9 minutes late in the evening.\"\n24213,2017/03/07,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n24214,2017/03/07,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n24215,2017/03/08,I did hiking on 2017/03/08.,I did hiking on 2017/03/08.\n24216,2017/03/08,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n24217,2017/03/08,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n24218,2017/03/08,\"I had sushi for dinner with Andrew, Emily\",\"I had sushi for dinner with Andrew, Emily\"\n24219,2017/03/08,I talked to Piper for 18 minutes in the early afternoon.,I talked to Piper for 18 minutes in the early afternoon.\n24220,2017/03/08,\"I spent 10 talking to Olivia, Piper, Nevaeh, Kinsley on various topics in the early afternoon.\",\"I spent 10 talking to Olivia, Piper, Nevaeh, Kinsley on various topics in the early afternoon.\"\n24221,2017/03/08,I talked to Claire for 24 minutes in the early afternoon.,I talked to Claire for 24 minutes in the early afternoon.\n24222,2017/03/08,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n24223,2017/03/08,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n24224,2017/03/09,I did swimming on 2017/03/09.,I did swimming on 2017/03/09.\n24225,2017/03/09,I ate cereals for breakfast.,I ate cereals for breakfast.\n24226,2017/03/09,I prepare pasta for lunch.,I prepare pasta for lunch.\n24227,2017/03/09,\"I had dinner with Willow, Jackson. I ate steak.\",\"I had dinner with Willow, Jackson. I ate steak.\"\n24228,2017/03/09,\"I talked to Olivia, Claire, Avery, Piper for 41 minutes during lunch hours.\",\"I talked to Olivia, Claire, Avery, Piper for 41 minutes during lunch hours.\"\n24229,2017/03/09,\"I spent 13 talking to Piper, Eva, Piper on various topics late in the evening.\",\"I spent 13 talking to Piper, Eva, Piper on various topics late in the evening.\"\n24230,2017/03/09,\"I talked to Lydia, Kinsley, Piper, Piper for 40 minutes in the late afternoon.\",\"I talked to Lydia, Kinsley, Piper, Piper for 40 minutes in the late afternoon.\"\n24231,2017/03/09,\"I talked to Piper, Kinsley, Lydia, Nora for 53 minutes late in the evening.\",\"I talked to Piper, Kinsley, Lydia, Nora for 53 minutes late in the evening.\"\n24232,2017/03/09,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n24233,2017/03/09,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n24234,2017/03/10,\"I went grocery shopping with Lydia, Avery, Nora, Kinsley, Claire. I bought some oranges, raspberries, mangos, blackberries, mineral water, orange juice, apple juice, coffee, and facial wash\",\"I went grocery shopping with Lydia, Avery, Nora, Kinsley, Claire. I bought some oranges, raspberries, mangos, blackberries, mineral water, orange juice, apple juice, coffee, and facial wash\"\n24235,2017/03/10,I did biking on 2017/03/10.,I did biking on 2017/03/10.\n24236,2017/03/10,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n24237,2017/03/10,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n24238,2017/03/10,I prepare a burger for dinner.,I prepare a burger for dinner.\n24239,2017/03/10,\"I talked to Olivia, Nevaeh for 43 minutes in the early evening.\",\"I talked to Olivia, Nevaeh for 43 minutes in the early evening.\"\n24240,2017/03/10,\"I spent 54 talking to Layla, Claire, Nora, Piper on various topics in the early afternoon.\",\"I spent 54 talking to Layla, Claire, Nora, Piper on various topics in the early afternoon.\"\n24241,2017/03/10,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n24242,2017/03/10,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n24243,2017/03/11,\"I had breakfast with Hazel, Nora, Rylee, Nevaeh, Layla, Avery, Lydia, Eva, Claire. I ate oatmeal.\",\"I had breakfast with Hazel, Nora, Rylee, Nevaeh, Layla, Avery, Lydia, Eva, Claire. I ate oatmeal.\"\n24244,2017/03/11,I prepare tacos for lunch.,I prepare tacos for lunch.\n24245,2017/03/11,\"I had fish and chips for dinner with Lydia, Piper, Olivia\",\"I had fish and chips for dinner with Lydia, Piper, Olivia\"\n24246,2017/03/11,\"I spent 11 talking to Piper, Hazel, Piper on various topics in the early afternoon.\",\"I spent 11 talking to Piper, Hazel, Piper on various topics in the early afternoon.\"\n24247,2017/03/11,I talked to Avery for 44 minutes late in the evening.,I talked to Avery for 44 minutes late in the evening.\n24248,2017/03/11,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n24249,2017/03/11,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n24250,2017/03/12,I did hiking on 2017/03/12.,I did hiking on 2017/03/12.\n24251,2017/03/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n24252,2017/03/12,I had lunch with Avery. I ate fish and chips.,I had lunch with Avery. I ate fish and chips.\n24253,2017/03/12,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n24254,2017/03/12,\"I spent 9 talking to Piper, Kinsley, Layla, Nora on various topics in the late afternoon.\",\"I spent 9 talking to Piper, Kinsley, Layla, Nora on various topics in the late afternoon.\"\n24255,2017/03/12,\"I talked to Layla, Kinsley for 37 minutes in the late afternoon.\",\"I talked to Layla, Kinsley for 37 minutes in the late afternoon.\"\n24256,2017/03/12,\"I talked to Layla, Hazel for 5 minutes in the late afternoon.\",\"I talked to Layla, Hazel for 5 minutes in the late afternoon.\"\n24257,2017/03/12,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n24258,2017/03/12,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n24259,2017/03/13,I went on a date with Isaiah on 2017/03/13 at a park,I went on a date with Isaiah on 2017/03/13 at a park\n24260,2017/03/13,\"I went grocery shopping. I bought some clementines, apricots, blueberries, blackberries, soda, pineapple juice, and paper towel, body lotion, toothbrush, conditioner\",\"I went grocery shopping. I bought some clementines, apricots, blueberries, blackberries, soda, pineapple juice, and paper towel, body lotion, toothbrush, conditioner\"\n24261,2017/03/13,I did hiking on 2017/03/13.,I did hiking on 2017/03/13.\n24262,2017/03/13,\"I had breakfast with Carter, Kayden, Andrew. I ate pancakes.\",\"I had breakfast with Carter, Kayden, Andrew. I ate pancakes.\"\n24263,2017/03/13,I prepare steak for lunch.,I prepare steak for lunch.\n24264,2017/03/13,\"I had sushi for dinner with Avery, Lydia, Claire, Layla\",\"I had sushi for dinner with Avery, Lydia, Claire, Layla\"\n24265,2017/03/13,\"I talked to Nevaeh, Eva, Piper, Hazel for 41 minutes in the early afternoon.\",\"I talked to Nevaeh, Eva, Piper, Hazel for 41 minutes in the early afternoon.\"\n24266,2017/03/13,\"I talked to Hazel, Nora, Avery, Nevaeh for 35 minutes late in the evening.\",\"I talked to Hazel, Nora, Avery, Nevaeh for 35 minutes late in the evening.\"\n24267,2017/03/13,\"I spent 29 talking to Avery, Nora, Lydia, Piper on various topics late in the evening.\",\"I spent 29 talking to Avery, Nora, Lydia, Piper on various topics late in the evening.\"\n24268,2017/03/13,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n24269,2017/03/13,I watched news for 15 minutes on TV today.,I watched news for 15 minutes on TV today.\n24270,2017/03/14,\"I entertained Layla, Lydia, Claire, Hazel at my place on 2017/03/14 and bake cream-filled bundt cake\",\"I entertained Layla, Lydia, Claire, Hazel at my place on 2017/03/14 and bake cream-filled bundt cake\"\n24271,2017/03/14,I really enjoyed yoga on 2017/03/14,I really enjoyed yoga on 2017/03/14\n24272,2017/03/14,I did HIIT on 2017/03/14.,I did HIIT on 2017/03/14.\n24273,2017/03/14,\"I had breakfast with Carter, Emily. I ate pancakes.\",\"I had breakfast with Carter, Emily. I ate pancakes.\"\n24274,2017/03/14,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n24275,2017/03/14,\"I had tacos for dinner with Carter, Emily, Kayden, Andrew\",\"I had tacos for dinner with Carter, Emily, Kayden, Andrew\"\n24276,2017/03/14,I spent 17 talking to Kinsley on various topics late in the evening.,I spent 17 talking to Kinsley on various topics late in the evening.\n24277,2017/03/14,\"I spent 26 talking to Nora, Avery, Hazel, Eva on various topics late in the evening.\",\"I spent 26 talking to Nora, Avery, Hazel, Eva on various topics late in the evening.\"\n24278,2017/03/14,\"I talked to Piper, Lydia, Piper for 55 minutes in the early afternoon.\",\"I talked to Piper, Lydia, Piper for 55 minutes in the early afternoon.\"\n24279,2017/03/14,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n24280,2017/03/14,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n24281,2017/03/15,I did hiking on 2017/03/15.,I did hiking on 2017/03/15.\n24282,2017/03/15,I had cereals for breakfast with Carter,I had cereals for breakfast with Carter\n24283,2017/03/15,I prepare a burger for lunch.,I prepare a burger for lunch.\n24284,2017/03/15,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n24285,2017/03/15,I spent 38 talking to Nevaeh on various topics late in the evening.,I spent 38 talking to Nevaeh on various topics late in the evening.\n24286,2017/03/15,I spent 10 talking to Kinsley on various topics in the early evening.,I spent 10 talking to Kinsley on various topics in the early evening.\n24287,2017/03/15,\"I talked to Lydia, Nora, Olivia, Kinsley for 43 minutes in the morning.\",\"I talked to Lydia, Nora, Olivia, Kinsley for 43 minutes in the morning.\"\n24288,2017/03/15,\"I talked to Kinsley, Layla, Piper, Avery for 15 minutes in the early evening.\",\"I talked to Kinsley, Layla, Piper, Avery for 15 minutes in the early evening.\"\n24289,2017/03/15,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n24290,2017/03/15,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n24291,2017/03/16,I did weight lifting on 2017/03/16.,I did weight lifting on 2017/03/16.\n24292,2017/03/16,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n24293,2017/03/16,\"I had sandwich for lunch with Benjamin, Willow, Avery\",\"I had sandwich for lunch with Benjamin, Willow, Avery\"\n24294,2017/03/16,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n24295,2017/03/16,I talked to Eva for 38 minutes in the early evening.,I talked to Eva for 38 minutes in the early evening.\n24296,2017/03/16,\"I spent 11 talking to Piper, Nora, Nevaeh, Kinsley on various topics in the early evening.\",\"I spent 11 talking to Piper, Nora, Nevaeh, Kinsley on various topics in the early evening.\"\n24297,2017/03/16,\"I talked to Olivia, Hazel for 16 minutes in the morning.\",\"I talked to Olivia, Hazel for 16 minutes in the morning.\"\n24298,2017/03/16,\"I spent 49 talking to Rylee, Kinsley, Lydia, Claire on various topics during lunch hours.\",\"I spent 49 talking to Rylee, Kinsley, Lydia, Claire on various topics during lunch hours.\"\n24299,2017/03/16,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n24300,2017/03/16,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n24301,2017/03/17,I did running on 2017/03/17.,I did running on 2017/03/17.\n24302,2017/03/17,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n24303,2017/03/17,I ate tacos for lunch.,I ate tacos for lunch.\n24304,2017/03/17,I ate tacos for dinner.,I ate tacos for dinner.\n24305,2017/03/17,I spent 27 talking to Nora on various topics in the early afternoon.,I spent 27 talking to Nora on various topics in the early afternoon.\n24306,2017/03/17,\"I spent 39 talking to Rylee, Piper, Hazel on various topics in the morning.\",\"I spent 39 talking to Rylee, Piper, Hazel on various topics in the morning.\"\n24307,2017/03/17,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n24308,2017/03/17,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n24309,2017/03/18,\"I entertained Benjamin, Avery at my place on 2017/03/18 and bake easy chocolate marshmallow cups\",\"I entertained Benjamin, Avery at my place on 2017/03/18 and bake easy chocolate marshmallow cups\"\n24310,2017/03/18,\"I went grocery shopping. I bought some blueberries, milk, chocolate milk, orange juice, and shampoo, toothbrush, body lotion\",\"I went grocery shopping. I bought some blueberries, milk, chocolate milk, orange juice, and shampoo, toothbrush, body lotion\"\n24311,2017/03/18,I did weight lifting on 2017/03/18.,I did weight lifting on 2017/03/18.\n24312,2017/03/18,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n24313,2017/03/18,\"I had lunch with Piper, Layla, Nora, Nevaeh, Olivia, Kinsley, Piper, Rylee, Lydia. I ate chinese food.\",\"I had lunch with Piper, Layla, Nora, Nevaeh, Olivia, Kinsley, Piper, Rylee, Lydia. I ate chinese food.\"\n24314,2017/03/18,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n24315,2017/03/18,\"I spent 5 talking to Layla, Piper, Rylee on various topics in the early afternoon.\",\"I spent 5 talking to Layla, Piper, Rylee on various topics in the early afternoon.\"\n24316,2017/03/18,\"I talked to Kinsley, Lydia for 22 minutes late in the evening.\",\"I talked to Kinsley, Lydia for 22 minutes late in the evening.\"\n24317,2017/03/18,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n24318,2017/03/18,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n24319,2017/03/19,\"I went grocery shopping with Andrew, Emily, Kayden. I bought some watermelons, pineapples, strawberries, pears, soda, coffee, milk, and shampoo, body lotion, mouthwash\",\"I went grocery shopping with Andrew, Emily, Kayden. I bought some watermelons, pineapples, strawberries, pears, soda, coffee, milk, and shampoo, body lotion, mouthwash\"\n24320,2017/03/19,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n24321,2017/03/19,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n24322,2017/03/19,I ate sandwich for dinner.,I ate sandwich for dinner.\n24323,2017/03/19,\"I talked to Eva, Piper for 29 minutes late in the evening.\",\"I talked to Eva, Piper for 29 minutes late in the evening.\"\n24324,2017/03/19,\"I spent 43 talking to Kinsley, Piper, Eva on various topics late in the evening.\",\"I spent 43 talking to Kinsley, Piper, Eva on various topics late in the evening.\"\n24325,2017/03/19,I talked to Piper for 5 minutes late in the evening.,I talked to Piper for 5 minutes late in the evening.\n24326,2017/03/19,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n24327,2017/03/19,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n24328,2017/03/20,I did running on 2017/03/20.,I did running on 2017/03/20.\n24329,2017/03/20,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n24330,2017/03/20,I ate steak for lunch.,I ate steak for lunch.\n24331,2017/03/20,\"I had sandwich for dinner with Kayden, Andrew, Carter, Emily\",\"I had sandwich for dinner with Kayden, Andrew, Carter, Emily\"\n24332,2017/03/20,\"I talked to Claire, Layla for 46 minutes in the early afternoon.\",\"I talked to Claire, Layla for 46 minutes in the early afternoon.\"\n24333,2017/03/20,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n24334,2017/03/20,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n24335,2017/03/21,I did running on 2017/03/21.,I did running on 2017/03/21.\n24336,2017/03/21,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n24337,2017/03/21,\"I had a burger for lunch with Piper, Piper, Lydia, Layla, Nevaeh, Kinsley\",\"I had a burger for lunch with Piper, Piper, Lydia, Layla, Nevaeh, Kinsley\"\n24338,2017/03/21,I had dinner with Kayden. I ate fish and chips.,I had dinner with Kayden. I ate fish and chips.\n24339,2017/03/21,\"I talked to Eva, Rylee, Claire, Avery for 55 minutes in the late afternoon.\",\"I talked to Eva, Rylee, Claire, Avery for 55 minutes in the late afternoon.\"\n24340,2017/03/21,\"I talked to Layla, Hazel for 21 minutes during lunch hours.\",\"I talked to Layla, Hazel for 21 minutes during lunch hours.\"\n24341,2017/03/21,I spent 17 talking to Avery on various topics late in the evening.,I spent 17 talking to Avery on various topics late in the evening.\n24342,2017/03/21,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n24343,2017/03/21,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n24344,2017/03/22,I did running on 2017/03/22.,I did running on 2017/03/22.\n24345,2017/03/22,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n24346,2017/03/22,\"I had lunch with Kayden, Andrew, Emily. I ate indian food.\",\"I had lunch with Kayden, Andrew, Emily. I ate indian food.\"\n24347,2017/03/22,\"I had pasta for dinner with Emily, Andrew, Kayden\",\"I had pasta for dinner with Emily, Andrew, Kayden\"\n24348,2017/03/22,\"I spent 6 talking to Hazel, Nevaeh on various topics in the morning.\",\"I spent 6 talking to Hazel, Nevaeh on various topics in the morning.\"\n24349,2017/03/22,\"I talked to Piper, Layla, Avery for 10 minutes in the late afternoon.\",\"I talked to Piper, Layla, Avery for 10 minutes in the late afternoon.\"\n24350,2017/03/22,\"I talked to Kinsley, Olivia for 38 minutes late in the evening.\",\"I talked to Kinsley, Olivia for 38 minutes late in the evening.\"\n24351,2017/03/22,\"I talked to Layla, Olivia for 36 minutes in the early afternoon.\",\"I talked to Layla, Olivia for 36 minutes in the early afternoon.\"\n24352,2017/03/22,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n24353,2017/03/22,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n24354,2017/03/23,I did swimming on 2017/03/23.,I did swimming on 2017/03/23.\n24355,2017/03/23,\"I had oatmeal for breakfast with Benjamin, Willow\",\"I had oatmeal for breakfast with Benjamin, Willow\"\n24356,2017/03/23,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n24357,2017/03/23,I ate indian food for dinner.,I ate indian food for dinner.\n24358,2017/03/23,\"I spent 44 talking to Piper, Lydia, Eva on various topics in the early evening.\",\"I spent 44 talking to Piper, Lydia, Eva on various topics in the early evening.\"\n24359,2017/03/23,I talked to Claire for 38 minutes in the late afternoon.,I talked to Claire for 38 minutes in the late afternoon.\n24360,2017/03/23,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n24361,2017/03/23,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n24362,2017/03/24,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n24363,2017/03/24,\"I had lunch with Benjamin, Avery, Willow. I ate chinese food.\",\"I had lunch with Benjamin, Avery, Willow. I ate chinese food.\"\n24364,2017/03/24,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n24365,2017/03/24,\"I talked to Eva, Piper, Nora for 15 minutes during lunch hours.\",\"I talked to Eva, Piper, Nora for 15 minutes during lunch hours.\"\n24366,2017/03/24,\"I talked to Avery, Nora, Lydia for 20 minutes in the early evening.\",\"I talked to Avery, Nora, Lydia for 20 minutes in the early evening.\"\n24367,2017/03/24,\"I talked to Kinsley, Nora, Avery for 42 minutes in the morning.\",\"I talked to Kinsley, Nora, Avery for 42 minutes in the morning.\"\n24368,2017/03/24,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n24369,2017/03/24,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n24370,2017/03/25,\"On 2017/03/25, I took Liam on a date to a restaurant\",\"On 2017/03/25, I took Liam on a date to a restaurant\"\n24371,2017/03/25,\"I went grocery shopping with Piper, Nora, Kinsley, Piper, Claire. I bought some apples, soda, mineral water, and toilet paper, body lotion, conditioner\",\"I went grocery shopping with Piper, Nora, Kinsley, Piper, Claire. I bought some apples, soda, mineral water, and toilet paper, body lotion, conditioner\"\n24372,2017/03/25,I did biking on 2017/03/25.,I did biking on 2017/03/25.\n24373,2017/03/25,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n24374,2017/03/25,\"I had lunch with Hazel, Nora, Kinsley, Nevaeh, Layla, Piper, Eva, Avery, Olivia, Rylee, Piper, Claire, Lydia. I ate pasta.\",\"I had lunch with Hazel, Nora, Kinsley, Nevaeh, Layla, Piper, Eva, Avery, Olivia, Rylee, Piper, Claire, Lydia. I ate pasta.\"\n24375,2017/03/25,\"I had sandwich for dinner with Kayden, Carter, Emily\",\"I had sandwich for dinner with Kayden, Carter, Emily\"\n24376,2017/03/25,\"I talked to Kinsley, Hazel for 42 minutes in the early afternoon.\",\"I talked to Kinsley, Hazel for 42 minutes in the early afternoon.\"\n24377,2017/03/25,I talked to Rylee for 25 minutes in the early afternoon.,I talked to Rylee for 25 minutes in the early afternoon.\n24378,2017/03/25,\"I talked to Claire, Avery for 39 minutes in the early afternoon.\",\"I talked to Claire, Avery for 39 minutes in the early afternoon.\"\n24379,2017/03/25,I talked to Piper for 27 minutes late in the evening.,I talked to Piper for 27 minutes late in the evening.\n24380,2017/03/25,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n24381,2017/03/25,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n24382,2017/03/26,I did HIIT on 2017/03/26.,I did HIIT on 2017/03/26.\n24383,2017/03/26,\"I had cereals for breakfast with Andrew, Emily\",\"I had cereals for breakfast with Andrew, Emily\"\n24384,2017/03/26,\"I had lunch with Lydia, Nora, Hazel. I ate pasta.\",\"I had lunch with Lydia, Nora, Hazel. I ate pasta.\"\n24385,2017/03/26,\"I had a burger for dinner with Emily, Kayden, Andrew, Carter\",\"I had a burger for dinner with Emily, Kayden, Andrew, Carter\"\n24386,2017/03/26,\"I spent 8 talking to Layla, Kinsley, Nora, Olivia on various topics in the morning.\",\"I spent 8 talking to Layla, Kinsley, Nora, Olivia on various topics in the morning.\"\n24387,2017/03/26,I talked to Lydia for 19 minutes during lunch hours.,I talked to Lydia for 19 minutes during lunch hours.\n24388,2017/03/26,\"I talked to Lydia, Eva for 42 minutes in the morning.\",\"I talked to Lydia, Eva for 42 minutes in the morning.\"\n24389,2017/03/26,\"I talked to Avery, Kinsley, Olivia, Rylee for 26 minutes in the morning.\",\"I talked to Avery, Kinsley, Olivia, Rylee for 26 minutes in the morning.\"\n24390,2017/03/26,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n24391,2017/03/26,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n24392,2017/03/27,I did weight lifting on 2017/03/27.,I did weight lifting on 2017/03/27.\n24393,2017/03/27,\"I had breakfast with Nora, Eva, Avery. I ate toast and cheese.\",\"I had breakfast with Nora, Eva, Avery. I ate toast and cheese.\"\n24394,2017/03/27,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n24395,2017/03/27,\"I had dinner with Hazel, Kinsley. I ate fish and chips.\",\"I had dinner with Hazel, Kinsley. I ate fish and chips.\"\n24396,2017/03/27,\"I talked to Layla, Claire, Eva for 17 minutes in the early afternoon.\",\"I talked to Layla, Claire, Eva for 17 minutes in the early afternoon.\"\n24397,2017/03/27,I talked to Lydia for 6 minutes in the early afternoon.,I talked to Lydia for 6 minutes in the early afternoon.\n24398,2017/03/27,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n24399,2017/03/27,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n24400,2017/03/28,I did biking on 2017/03/28.,I did biking on 2017/03/28.\n24401,2017/03/28,I had breakfast with Andrew. I ate cereals.,I had breakfast with Andrew. I ate cereals.\n24402,2017/03/28,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n24403,2017/03/28,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n24404,2017/03/28,\"I spent 46 talking to Olivia, Piper, Lydia, Rylee on various topics late in the evening.\",\"I spent 46 talking to Olivia, Piper, Lydia, Rylee on various topics late in the evening.\"\n24405,2017/03/28,\"I talked to Layla, Nora for 25 minutes in the late afternoon.\",\"I talked to Layla, Nora for 25 minutes in the late afternoon.\"\n24406,2017/03/28,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n24407,2017/03/28,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n24408,2017/03/29,\"On 2017/03/29, I took Jayden on a date to a park\",\"On 2017/03/29, I took Jayden on a date to a park\"\n24409,2017/03/29,I did hiking on 2017/03/29.,I did hiking on 2017/03/29.\n24410,2017/03/29,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n24411,2017/03/29,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n24412,2017/03/29,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n24413,2017/03/29,\"I talked to Olivia, Kinsley for 33 minutes in the morning.\",\"I talked to Olivia, Kinsley for 33 minutes in the morning.\"\n24414,2017/03/29,I talked to Avery for 54 minutes in the early evening.,I talked to Avery for 54 minutes in the early evening.\n24415,2017/03/29,I spent 19 talking to Piper on various topics in the morning.,I spent 19 talking to Piper on various topics in the morning.\n24416,2017/03/29,\"I talked to Nevaeh, Claire, Olivia, Lydia for 5 minutes during lunch hours.\",\"I talked to Nevaeh, Claire, Olivia, Lydia for 5 minutes during lunch hours.\"\n24417,2017/03/29,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n24418,2017/03/29,I watched news for 35 minutes on TV today.,I watched news for 35 minutes on TV today.\n24419,2017/03/30,I spent some time gardening on 2017/03/30.,I spent some time gardening on 2017/03/30.\n24420,2017/03/30,I did hiking on 2017/03/30.,I did hiking on 2017/03/30.\n24421,2017/03/30,\"I had oatmeal for breakfast with Rylee, Hazel, Lydia, Olivia, Nevaeh, Kinsley, Nora, Eva, Piper, Layla, Avery, Claire\",\"I had oatmeal for breakfast with Rylee, Hazel, Lydia, Olivia, Nevaeh, Kinsley, Nora, Eva, Piper, Layla, Avery, Claire\"\n24422,2017/03/30,I ate indian food for lunch.,I ate indian food for lunch.\n24423,2017/03/30,\"I had dinner with Nora, Piper, Olivia, Hazel, Avery, Piper, Layla, Nevaeh, Kinsley, Rylee, Lydia, Eva. I ate sushi.\",\"I had dinner with Nora, Piper, Olivia, Hazel, Avery, Piper, Layla, Nevaeh, Kinsley, Rylee, Lydia, Eva. I ate sushi.\"\n24424,2017/03/30,\"I talked to Rylee, Piper, Claire for 34 minutes during lunch hours.\",\"I talked to Rylee, Piper, Claire for 34 minutes during lunch hours.\"\n24425,2017/03/30,\"I spent 43 talking to Kinsley, Piper on various topics in the morning.\",\"I spent 43 talking to Kinsley, Piper on various topics in the morning.\"\n24426,2017/03/30,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n24427,2017/03/30,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n24428,2017/03/31,\"I went grocery shopping. I bought some watermelons, clementines, nectarines, pineapples, sports drinks, soda, mango juice, coffee, and mouth wash\",\"I went grocery shopping. I bought some watermelons, clementines, nectarines, pineapples, sports drinks, soda, mango juice, coffee, and mouth wash\"\n24429,2017/03/31,I did weight lifting on 2017/03/31.,I did weight lifting on 2017/03/31.\n24430,2017/03/31,\"I had pancakes for breakfast with Kayden, Carter\",\"I had pancakes for breakfast with Kayden, Carter\"\n24431,2017/03/31,I ate indian food for lunch.,I ate indian food for lunch.\n24432,2017/03/31,I had dinner with Willow. I ate pasta.,I had dinner with Willow. I ate pasta.\n24433,2017/03/31,\"I spent 51 talking to Claire, Hazel, Lydia, Olivia on various topics in the early afternoon.\",\"I spent 51 talking to Claire, Hazel, Lydia, Olivia on various topics in the early afternoon.\"\n24434,2017/03/31,\"I spent 35 talking to Eva, Rylee, Claire on various topics in the morning.\",\"I spent 35 talking to Eva, Rylee, Claire on various topics in the morning.\"\n24435,2017/03/31,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n24436,2017/03/31,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n24437,2017/04/01,I did hiking on 2017/04/01.,I did hiking on 2017/04/01.\n24438,2017/04/01,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n24439,2017/04/01,I ate tacos for lunch.,I ate tacos for lunch.\n24440,2017/04/01,I prepare sushi for dinner.,I prepare sushi for dinner.\n24441,2017/04/01,\"I talked to Piper, Nora, Claire, Rylee for 31 minutes in the early afternoon.\",\"I talked to Piper, Nora, Claire, Rylee for 31 minutes in the early afternoon.\"\n24442,2017/04/01,I spent 29 talking to Layla on various topics in the late afternoon.,I spent 29 talking to Layla on various topics in the late afternoon.\n24443,2017/04/01,\"I talked to Rylee, Claire, Nevaeh for 32 minutes in the early evening.\",\"I talked to Rylee, Claire, Nevaeh for 32 minutes in the early evening.\"\n24444,2017/04/01,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n24445,2017/04/01,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n24446,2017/04/02,I spent time yoga on 2017/04/02 with Jackson.,I spent time yoga on 2017/04/02 with Jackson.\n24447,2017/04/02,\"I went grocery shopping with Jackson, Benjamin. I bought some pineapples, watermelons, mango juice, mineral water, and facial wash\",\"I went grocery shopping with Jackson, Benjamin. I bought some pineapples, watermelons, mango juice, mineral water, and facial wash\"\n24448,2017/04/02,I did hiking on 2017/04/02.,I did hiking on 2017/04/02.\n24449,2017/04/02,\"I had eggs, sausages, and bread for breakfast with Nora, Rylee, Piper, Piper\",\"I had eggs, sausages, and bread for breakfast with Nora, Rylee, Piper, Piper\"\n24450,2017/04/02,I had pasta for lunch with Willow,I had pasta for lunch with Willow\n24451,2017/04/02,\"I had dinner with Kinsley, Nevaeh, Hazel, Olivia, Avery, Claire, Lydia, Rylee, Piper, Piper, Nora. I ate a burger.\",\"I had dinner with Kinsley, Nevaeh, Hazel, Olivia, Avery, Claire, Lydia, Rylee, Piper, Piper, Nora. I ate a burger.\"\n24452,2017/04/02,\"I talked to Avery, Piper for 11 minutes late in the evening.\",\"I talked to Avery, Piper for 11 minutes late in the evening.\"\n24453,2017/04/02,\"I spent 31 talking to Nevaeh, Olivia, Layla on various topics during lunch hours.\",\"I spent 31 talking to Nevaeh, Olivia, Layla on various topics during lunch hours.\"\n24454,2017/04/02,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n24455,2017/04/02,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n24456,2017/04/03,I went on a date with Hannah on 2017/04/03 at a coffee Shop,I went on a date with Hannah on 2017/04/03 at a coffee Shop\n24457,2017/04/03,I did hiking on 2017/04/03.,I did hiking on 2017/04/03.\n24458,2017/04/03,\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\"\n24459,2017/04/03,\"I had sushi for lunch with Claire, Olivia, Lydia, Piper, Piper\",\"I had sushi for lunch with Claire, Olivia, Lydia, Piper, Piper\"\n24460,2017/04/03,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n24461,2017/04/03,\"I talked to Eva, Piper, Lydia, Rylee for 8 minutes in the early evening.\",\"I talked to Eva, Piper, Lydia, Rylee for 8 minutes in the early evening.\"\n24462,2017/04/03,\"I talked to Avery, Nevaeh for 42 minutes late in the evening.\",\"I talked to Avery, Nevaeh for 42 minutes late in the evening.\"\n24463,2017/04/03,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n24464,2017/04/03,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n24465,2017/04/04,\"I entertained Emily, Kayden, Andrew at my place on 2017/04/04 and bake fig tarte tatin, brownies\",\"I entertained Emily, Kayden, Andrew at my place on 2017/04/04 and bake fig tarte tatin, brownies\"\n24466,2017/04/04,I did biking on 2017/04/04.,I did biking on 2017/04/04.\n24467,2017/04/04,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n24468,2017/04/04,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n24469,2017/04/04,I had dinner with Emily. I ate fish and chips.,I had dinner with Emily. I ate fish and chips.\n24470,2017/04/04,\"I talked to Piper, Nevaeh, Nora for 50 minutes in the early evening.\",\"I talked to Piper, Nevaeh, Nora for 50 minutes in the early evening.\"\n24471,2017/04/04,\"I talked to Rylee, Hazel for 6 minutes during lunch hours.\",\"I talked to Rylee, Hazel for 6 minutes during lunch hours.\"\n24472,2017/04/04,\"I spent 10 talking to Claire, Eva on various topics late in the evening.\",\"I spent 10 talking to Claire, Eva on various topics late in the evening.\"\n24473,2017/04/04,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n24474,2017/04/04,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n24475,2017/04/05,I did HIIT on 2017/04/05.,I did HIIT on 2017/04/05.\n24476,2017/04/05,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n24477,2017/04/05,I ate sandwich for lunch.,I ate sandwich for lunch.\n24478,2017/04/05,\"I had dinner with Carter, Andrew, Emily, Kayden. I ate sushi.\",\"I had dinner with Carter, Andrew, Emily, Kayden. I ate sushi.\"\n24479,2017/04/05,\"I talked to Rylee, Layla, Avery, Claire for 5 minutes in the morning.\",\"I talked to Rylee, Layla, Avery, Claire for 5 minutes in the morning.\"\n24480,2017/04/05,I spent 35 talking to Claire on various topics in the early evening.,I spent 35 talking to Claire on various topics in the early evening.\n24481,2017/04/05,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n24482,2017/04/05,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n24483,2017/04/06,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n24484,2017/04/06,\"I had lunch with Layla, Nora. I ate sushi.\",\"I had lunch with Layla, Nora. I ate sushi.\"\n24485,2017/04/06,I ate sushi for dinner.,I ate sushi for dinner.\n24486,2017/04/06,I talked to Claire for 10 minutes in the early evening.,I talked to Claire for 10 minutes in the early evening.\n24487,2017/04/06,\"I talked to Rylee, Avery, Eva for 55 minutes in the early afternoon.\",\"I talked to Rylee, Avery, Eva for 55 minutes in the early afternoon.\"\n24488,2017/04/06,I talked to Nevaeh for 7 minutes in the morning.,I talked to Nevaeh for 7 minutes in the morning.\n24489,2017/04/06,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n24490,2017/04/06,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n24491,2017/04/07,\"I bought some apples, apple juice, orange juice, sports drinks, soda, toothbrush, shaving cream, toothpaste online.\",\"I bought some apples, apple juice, orange juice, sports drinks, soda, toothbrush, shaving cream, toothpaste online.\"\n24492,2017/04/07,I did hiking on 2017/04/07.,I did hiking on 2017/04/07.\n24493,2017/04/07,I ate cereals for breakfast.,I ate cereals for breakfast.\n24494,2017/04/07,I ate pasta for lunch.,I ate pasta for lunch.\n24495,2017/04/07,I ate chinese food for dinner.,I ate chinese food for dinner.\n24496,2017/04/07,\"I talked to Lydia, Avery for 35 minutes in the late afternoon.\",\"I talked to Lydia, Avery for 35 minutes in the late afternoon.\"\n24497,2017/04/07,I spent 43 talking to Piper on various topics in the early afternoon.,I spent 43 talking to Piper on various topics in the early afternoon.\n24498,2017/04/07,\"I spent 55 talking to Olivia, Nora, Layla, Avery on various topics in the morning.\",\"I spent 55 talking to Olivia, Nora, Layla, Avery on various topics in the morning.\"\n24499,2017/04/07,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n24500,2017/04/07,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n24501,2017/04/08,I went on a date with Ryan on 2017/04/08 at a restaurant,I went on a date with Ryan on 2017/04/08 at a restaurant\n24502,2017/04/08,I did biking on 2017/04/08.,I did biking on 2017/04/08.\n24503,2017/04/08,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n24504,2017/04/08,I had lunch with Willow. I ate chinese food.,I had lunch with Willow. I ate chinese food.\n24505,2017/04/08,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n24506,2017/04/08,\"I spent 9 talking to Piper, Nevaeh, Lydia, Layla on various topics late in the evening.\",\"I spent 9 talking to Piper, Nevaeh, Lydia, Layla on various topics late in the evening.\"\n24507,2017/04/08,I talked to Eva for 17 minutes in the early evening.,I talked to Eva for 17 minutes in the early evening.\n24508,2017/04/08,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n24509,2017/04/08,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n24510,2017/04/09,I did running on 2017/04/09.,I did running on 2017/04/09.\n24511,2017/04/09,I had oatmeal for breakfast with Kayden,I had oatmeal for breakfast with Kayden\n24512,2017/04/09,I ate sandwich for lunch.,I ate sandwich for lunch.\n24513,2017/04/09,I prepare indian food for dinner.,I prepare indian food for dinner.\n24514,2017/04/09,\"I spent 10 talking to Kinsley, Claire, Piper on various topics during lunch hours.\",\"I spent 10 talking to Kinsley, Claire, Piper on various topics during lunch hours.\"\n24515,2017/04/09,\"I spent 17 talking to Rylee, Eva, Piper, Layla on various topics late in the evening.\",\"I spent 17 talking to Rylee, Eva, Piper, Layla on various topics late in the evening.\"\n24516,2017/04/09,I spent 41 talking to Nora on various topics during lunch hours.,I spent 41 talking to Nora on various topics during lunch hours.\n24517,2017/04/09,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n24518,2017/04/09,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n24519,2017/04/10,\"I went grocery shopping with Andrew, Carter, Kayden, Emily. I bought some mandarins, strawberries, bananas, orange juice, mineral water, and facial wash\",\"I went grocery shopping with Andrew, Carter, Kayden, Emily. I bought some mandarins, strawberries, bananas, orange juice, mineral water, and facial wash\"\n24520,2017/04/10,I did hiking on 2017/04/10.,I did hiking on 2017/04/10.\n24521,2017/04/10,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n24522,2017/04/10,\"I had lunch with Carter, Andrew, Emily. I ate steak.\",\"I had lunch with Carter, Andrew, Emily. I ate steak.\"\n24523,2017/04/10,\"I had fish and chips for dinner with Carter, Kayden, Emily\",\"I had fish and chips for dinner with Carter, Kayden, Emily\"\n24524,2017/04/10,I talked to Claire for 21 minutes in the early afternoon.,I talked to Claire for 21 minutes in the early afternoon.\n24525,2017/04/10,\"I spent 54 talking to Nevaeh, Layla on various topics in the early afternoon.\",\"I spent 54 talking to Nevaeh, Layla on various topics in the early afternoon.\"\n24526,2017/04/10,I spent 34 talking to Rylee on various topics late in the evening.,I spent 34 talking to Rylee on various topics late in the evening.\n24527,2017/04/10,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n24528,2017/04/10,I spent 30 minutes watching a movie on TV today.,I spent 30 minutes watching a movie on TV today.\n24529,2017/04/11,I did running on 2017/04/11.,I did running on 2017/04/11.\n24530,2017/04/11,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n24531,2017/04/11,I ate tacos for lunch.,I ate tacos for lunch.\n24532,2017/04/11,I prepare steak for dinner.,I prepare steak for dinner.\n24533,2017/04/11,\"I talked to Claire, Lydia for 11 minutes in the early evening.\",\"I talked to Claire, Lydia for 11 minutes in the early evening.\"\n24534,2017/04/11,\"I spent 9 talking to Eva, Avery, Piper, Rylee on various topics in the late afternoon.\",\"I spent 9 talking to Eva, Avery, Piper, Rylee on various topics in the late afternoon.\"\n24535,2017/04/11,\"I talked to Avery, Rylee, Nevaeh for 55 minutes in the early afternoon.\",\"I talked to Avery, Rylee, Nevaeh for 55 minutes in the early afternoon.\"\n24536,2017/04/11,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n24537,2017/04/11,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n24538,2017/04/12,\"I really enjoyed baking easy cherry skillet cake, gluten-free apple rose tart on 2017/04/12 with Avery, Jackson, Benjamin, Willow at my place\",\"I really enjoyed baking easy cherry skillet cake, gluten-free apple rose tart on 2017/04/12 with Avery, Jackson, Benjamin, Willow at my place\"\n24539,2017/04/12,\"I bought some pears, apricots, blackberries, clementines, mango juice, tea, chocolate milk, facial wash, toothbrush, shaving cream online.\",\"I bought some pears, apricots, blackberries, clementines, mango juice, tea, chocolate milk, facial wash, toothbrush, shaving cream online.\"\n24540,2017/04/12,I did swimming on 2017/04/12.,I did swimming on 2017/04/12.\n24541,2017/04/12,\"I had cereals for breakfast with Lydia, Olivia\",\"I had cereals for breakfast with Lydia, Olivia\"\n24542,2017/04/12,I ate tacos for lunch.,I ate tacos for lunch.\n24543,2017/04/12,I prepare steak for dinner.,I prepare steak for dinner.\n24544,2017/04/12,I spent 10 talking to Olivia on various topics in the morning.,I spent 10 talking to Olivia on various topics in the morning.\n24545,2017/04/12,\"I talked to Layla, Kinsley, Eva for 19 minutes late in the evening.\",\"I talked to Layla, Kinsley, Eva for 19 minutes late in the evening.\"\n24546,2017/04/12,\"I spent 38 talking to Piper, Rylee, Eva on various topics in the early evening.\",\"I spent 38 talking to Piper, Rylee, Eva on various topics in the early evening.\"\n24547,2017/04/12,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n24548,2017/04/12,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n24549,2017/04/13,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n24550,2017/04/13,I prepare a burger for lunch.,I prepare a burger for lunch.\n24551,2017/04/13,I ate pasta for dinner.,I ate pasta for dinner.\n24552,2017/04/13,\"I talked to Eva, Lydia, Claire for 31 minutes late in the evening.\",\"I talked to Eva, Lydia, Claire for 31 minutes late in the evening.\"\n24553,2017/04/13,\"I spent 37 talking to Rylee, Nevaeh, Piper, Kinsley on various topics in the early evening.\",\"I spent 37 talking to Rylee, Nevaeh, Piper, Kinsley on various topics in the early evening.\"\n24554,2017/04/13,\"I spent 14 talking to Hazel, Layla, Claire on various topics in the early afternoon.\",\"I spent 14 talking to Hazel, Layla, Claire on various topics in the early afternoon.\"\n24555,2017/04/13,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n24556,2017/04/13,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n24557,2017/04/14,I spent some time gardening on 2017/04/14.,I spent some time gardening on 2017/04/14.\n24558,2017/04/14,I did HIIT on 2017/04/14.,I did HIIT on 2017/04/14.\n24559,2017/04/14,\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate oatmeal.\",\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate oatmeal.\"\n24560,2017/04/14,\"I had lunch with Andrew, Emily. I ate sushi.\",\"I had lunch with Andrew, Emily. I ate sushi.\"\n24561,2017/04/14,\"I had a burger for dinner with Emily, Andrew, Kayden\",\"I had a burger for dinner with Emily, Andrew, Kayden\"\n24562,2017/04/14,\"I talked to Piper, Hazel for 25 minutes in the late afternoon.\",\"I talked to Piper, Hazel for 25 minutes in the late afternoon.\"\n24563,2017/04/14,\"I talked to Rylee, Nevaeh, Layla, Hazel for 26 minutes late in the evening.\",\"I talked to Rylee, Nevaeh, Layla, Hazel for 26 minutes late in the evening.\"\n24564,2017/04/14,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n24565,2017/04/14,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n24566,2017/04/15,I did running on 2017/04/15.,I did running on 2017/04/15.\n24567,2017/04/15,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n24568,2017/04/15,I had a burger for lunch with Emily,I had a burger for lunch with Emily\n24569,2017/04/15,I prepare a burger for dinner.,I prepare a burger for dinner.\n24570,2017/04/15,\"I spent 39 talking to Hazel, Lydia, Nevaeh, Kinsley on various topics in the morning.\",\"I spent 39 talking to Hazel, Lydia, Nevaeh, Kinsley on various topics in the morning.\"\n24571,2017/04/15,\"I spent 7 talking to Piper, Layla, Nora, Avery on various topics in the late afternoon.\",\"I spent 7 talking to Piper, Layla, Nora, Avery on various topics in the late afternoon.\"\n24572,2017/04/15,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n24573,2017/04/15,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n24574,2017/04/16,I did hiking on 2017/04/16.,I did hiking on 2017/04/16.\n24575,2017/04/16,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n24576,2017/04/16,\"I had lunch with Carter, Kayden, Andrew. I ate chinese food.\",\"I had lunch with Carter, Kayden, Andrew. I ate chinese food.\"\n24577,2017/04/16,I had indian food for dinner with Willow,I had indian food for dinner with Willow\n24578,2017/04/16,\"I spent 53 talking to Nevaeh, Hazel on various topics in the early afternoon.\",\"I spent 53 talking to Nevaeh, Hazel on various topics in the early afternoon.\"\n24579,2017/04/16,I talked to Avery for 30 minutes in the morning.,I talked to Avery for 30 minutes in the morning.\n24580,2017/04/16,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n24581,2017/04/16,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n24582,2017/04/17,I did HIIT on 2017/04/17.,I did HIIT on 2017/04/17.\n24583,2017/04/17,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n24584,2017/04/17,I prepare indian food for lunch.,I prepare indian food for lunch.\n24585,2017/04/17,\"I had dinner with Carter, Kayden. I ate sandwich.\",\"I had dinner with Carter, Kayden. I ate sandwich.\"\n24586,2017/04/17,\"I spent 39 talking to Kinsley, Nevaeh, Avery on various topics in the early evening.\",\"I spent 39 talking to Kinsley, Nevaeh, Avery on various topics in the early evening.\"\n24587,2017/04/17,\"I talked to Piper, Nora for 10 minutes during lunch hours.\",\"I talked to Piper, Nora for 10 minutes during lunch hours.\"\n24588,2017/04/17,\"I talked to Olivia, Hazel for 22 minutes during lunch hours.\",\"I talked to Olivia, Hazel for 22 minutes during lunch hours.\"\n24589,2017/04/17,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n24590,2017/04/17,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n24591,2017/04/18,\"I went grocery shopping. I bought some raspberries, pineapples, cherres, coffee, and conditioner, paper towel, shampoo\",\"I went grocery shopping. I bought some raspberries, pineapples, cherres, coffee, and conditioner, paper towel, shampoo\"\n24592,2017/04/18,I did HIIT on 2017/04/18.,I did HIIT on 2017/04/18.\n24593,2017/04/18,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n24594,2017/04/18,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n24595,2017/04/18,I ate sushi for dinner.,I ate sushi for dinner.\n24596,2017/04/18,I spent 50 talking to Kinsley on various topics in the late afternoon.,I spent 50 talking to Kinsley on various topics in the late afternoon.\n24597,2017/04/18,\"I talked to Rylee, Nora, Lydia, Hazel for 18 minutes in the early afternoon.\",\"I talked to Rylee, Nora, Lydia, Hazel for 18 minutes in the early afternoon.\"\n24598,2017/04/18,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n24599,2017/04/18,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n24600,2017/04/19,I did weight lifting on 2017/04/19.,I did weight lifting on 2017/04/19.\n24601,2017/04/19,\"I had oatmeal for breakfast with Kayden, Emily, Andrew, Carter\",\"I had oatmeal for breakfast with Kayden, Emily, Andrew, Carter\"\n24602,2017/04/19,I ate pasta for lunch.,I ate pasta for lunch.\n24603,2017/04/19,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n24604,2017/04/19,\"I talked to Lydia, Nora, Piper for 30 minutes late in the evening.\",\"I talked to Lydia, Nora, Piper for 30 minutes late in the evening.\"\n24605,2017/04/19,\"I spent 27 talking to Nevaeh, Piper, Rylee on various topics late in the evening.\",\"I spent 27 talking to Nevaeh, Piper, Rylee on various topics late in the evening.\"\n24606,2017/04/19,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n24607,2017/04/19,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n24608,2017/04/20,I went on a date with Nicholas on 2017/04/20 at a restaurant,I went on a date with Nicholas on 2017/04/20 at a restaurant\n24609,2017/04/20,I did biking on 2017/04/20.,I did biking on 2017/04/20.\n24610,2017/04/20,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n24611,2017/04/20,\"I had lunch with Willow, Benjamin, Avery, Jackson. I ate sandwich.\",\"I had lunch with Willow, Benjamin, Avery, Jackson. I ate sandwich.\"\n24612,2017/04/20,I prepare a burger for dinner.,I prepare a burger for dinner.\n24613,2017/04/20,\"I talked to Kinsley, Olivia for 6 minutes during lunch hours.\",\"I talked to Kinsley, Olivia for 6 minutes during lunch hours.\"\n24614,2017/04/20,I spent 37 talking to Kinsley on various topics in the morning.,I spent 37 talking to Kinsley on various topics in the morning.\n24615,2017/04/20,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n24616,2017/04/20,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n24617,2017/04/21,\"I went grocery shopping. I bought some blueberries, mandarins, pears, peaches, chocolate milk, coffee, and paper towel, mouth wash, facial wash, mouthwash\",\"I went grocery shopping. I bought some blueberries, mandarins, pears, peaches, chocolate milk, coffee, and paper towel, mouth wash, facial wash, mouthwash\"\n24618,2017/04/21,I did hiking on 2017/04/21.,I did hiking on 2017/04/21.\n24619,2017/04/21,\"I had pancakes for breakfast with Jackson, Benjamin, Avery\",\"I had pancakes for breakfast with Jackson, Benjamin, Avery\"\n24620,2017/04/21,I had lunch with Avery. I ate fish and chips.,I had lunch with Avery. I ate fish and chips.\n24621,2017/04/21,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n24622,2017/04/21,\"I spent 28 talking to Claire, Avery, Olivia, Layla on various topics late in the evening.\",\"I spent 28 talking to Claire, Avery, Olivia, Layla on various topics late in the evening.\"\n24623,2017/04/21,\"I spent 48 talking to Hazel, Kinsley, Avery, Piper on various topics during lunch hours.\",\"I spent 48 talking to Hazel, Kinsley, Avery, Piper on various topics during lunch hours.\"\n24624,2017/04/21,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n24625,2017/04/21,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n24626,2017/04/22,I did running on 2017/04/22.,I did running on 2017/04/22.\n24627,2017/04/22,\"I had peanut-butter-jam for breakfast with Emily, Kayden, Andrew, Carter\",\"I had peanut-butter-jam for breakfast with Emily, Kayden, Andrew, Carter\"\n24628,2017/04/22,I had lunch with Kayden. I ate chinese food.,I had lunch with Kayden. I ate chinese food.\n24629,2017/04/22,I ate pasta for dinner.,I ate pasta for dinner.\n24630,2017/04/22,I talked to Piper for 26 minutes during lunch hours.,I talked to Piper for 26 minutes during lunch hours.\n24631,2017/04/22,\"I spent 23 talking to Eva, Nora, Kinsley, Claire on various topics in the early afternoon.\",\"I spent 23 talking to Eva, Nora, Kinsley, Claire on various topics in the early afternoon.\"\n24632,2017/04/22,\"I spent 47 talking to Nevaeh, Rylee, Eva, Nora on various topics in the early evening.\",\"I spent 47 talking to Nevaeh, Rylee, Eva, Nora on various topics in the early evening.\"\n24633,2017/04/22,I talked to Claire for 30 minutes in the early afternoon.,I talked to Claire for 30 minutes in the early afternoon.\n24634,2017/04/22,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n24635,2017/04/22,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n24636,2017/04/23,\"I went grocery shopping with Benjamin, Avery. I bought some blackberries, cherres, clementines, mandarins, pineapple juice, tea, and toothbrush\",\"I went grocery shopping with Benjamin, Avery. I bought some blackberries, cherres, clementines, mandarins, pineapple juice, tea, and toothbrush\"\n24637,2017/04/23,I did biking on 2017/04/23.,I did biking on 2017/04/23.\n24638,2017/04/23,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n24639,2017/04/23,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n24640,2017/04/23,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n24641,2017/04/23,\"I talked to Piper, Hazel for 8 minutes in the morning.\",\"I talked to Piper, Hazel for 8 minutes in the morning.\"\n24642,2017/04/23,\"I talked to Piper, Nevaeh, Kinsley, Hazel for 12 minutes during lunch hours.\",\"I talked to Piper, Nevaeh, Kinsley, Hazel for 12 minutes during lunch hours.\"\n24643,2017/04/23,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n24644,2017/04/23,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n24645,2017/04/24,I spent some time learning a language on 2017/04/24.,I spent some time learning a language on 2017/04/24.\n24646,2017/04/24,I did biking on 2017/04/24.,I did biking on 2017/04/24.\n24647,2017/04/24,I had pancakes for breakfast with Benjamin,I had pancakes for breakfast with Benjamin\n24648,2017/04/24,\"I had indian food for lunch with Hazel, Rylee, Piper\",\"I had indian food for lunch with Hazel, Rylee, Piper\"\n24649,2017/04/24,\"I had tacos for dinner with Willow, Jackson, Benjamin, Avery\",\"I had tacos for dinner with Willow, Jackson, Benjamin, Avery\"\n24650,2017/04/24,\"I talked to Kinsley, Nora for 16 minutes during lunch hours.\",\"I talked to Kinsley, Nora for 16 minutes during lunch hours.\"\n24651,2017/04/24,I spent 13 talking to Lydia on various topics in the morning.,I spent 13 talking to Lydia on various topics in the morning.\n24652,2017/04/24,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n24653,2017/04/24,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n24654,2017/04/25,\"On 2017/04/25, I took Sarah on a date to a park\",\"On 2017/04/25, I took Sarah on a date to a park\"\n24655,2017/04/25,I did running on 2017/04/25.,I did running on 2017/04/25.\n24656,2017/04/25,\"I had breakfast with Andrew, Kayden, Emily, Carter. I ate toast and cheese.\",\"I had breakfast with Andrew, Kayden, Emily, Carter. I ate toast and cheese.\"\n24657,2017/04/25,\"I had chinese food for lunch with Andrew, Emily, Carter, Kayden\",\"I had chinese food for lunch with Andrew, Emily, Carter, Kayden\"\n24658,2017/04/25,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n24659,2017/04/25,I spent 52 talking to Layla on various topics in the early afternoon.,I spent 52 talking to Layla on various topics in the early afternoon.\n24660,2017/04/25,\"I talked to Lydia, Rylee, Avery, Hazel for 11 minutes in the morning.\",\"I talked to Lydia, Rylee, Avery, Hazel for 11 minutes in the morning.\"\n24661,2017/04/25,\"I spent 29 talking to Olivia, Hazel on various topics late in the evening.\",\"I spent 29 talking to Olivia, Hazel on various topics late in the evening.\"\n24662,2017/04/25,\"I talked to Layla, Hazel, Piper for 5 minutes in the early evening.\",\"I talked to Layla, Hazel, Piper for 5 minutes in the early evening.\"\n24663,2017/04/25,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n24664,2017/04/25,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n24665,2017/04/26,I did HIIT on 2017/04/26.,I did HIIT on 2017/04/26.\n24666,2017/04/26,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n24667,2017/04/26,\"I had fish and chips for lunch with Kayden, Emily\",\"I had fish and chips for lunch with Kayden, Emily\"\n24668,2017/04/26,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n24669,2017/04/26,\"I talked to Eva, Lydia for 50 minutes in the early evening.\",\"I talked to Eva, Lydia for 50 minutes in the early evening.\"\n24670,2017/04/26,\"I talked to Layla, Avery for 48 minutes in the late afternoon.\",\"I talked to Layla, Avery for 48 minutes in the late afternoon.\"\n24671,2017/04/26,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n24672,2017/04/26,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n24673,2017/04/27,I did running on 2017/04/27.,I did running on 2017/04/27.\n24674,2017/04/27,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n24675,2017/04/27,I ate indian food for lunch.,I ate indian food for lunch.\n24676,2017/04/27,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n24677,2017/04/27,\"I spent 54 talking to Lydia, Eva on various topics in the late afternoon.\",\"I spent 54 talking to Lydia, Eva on various topics in the late afternoon.\"\n24678,2017/04/27,I spent 38 talking to Claire on various topics late in the evening.,I spent 38 talking to Claire on various topics late in the evening.\n24679,2017/04/27,I spent 6 minutes on social media today.,I spent 6 minutes on social media today.\n24680,2017/04/27,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n24681,2017/04/28,\"I spent time working out on 2017/04/28 with Emily, Andrew, Kayden.\",\"I spent time working out on 2017/04/28 with Emily, Andrew, Kayden.\"\n24682,2017/04/28,I did HIIT on 2017/04/28.,I did HIIT on 2017/04/28.\n24683,2017/04/28,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n24684,2017/04/28,I ate chinese food for lunch.,I ate chinese food for lunch.\n24685,2017/04/28,\"I had chinese food for dinner with Andrew, Emily\",\"I had chinese food for dinner with Andrew, Emily\"\n24686,2017/04/28,I spent 23 talking to Nevaeh on various topics in the early evening.,I spent 23 talking to Nevaeh on various topics in the early evening.\n24687,2017/04/28,\"I spent 44 talking to Piper, Nevaeh on various topics late in the evening.\",\"I spent 44 talking to Piper, Nevaeh on various topics late in the evening.\"\n24688,2017/04/28,\"I talked to Lydia, Claire, Layla for 15 minutes late in the evening.\",\"I talked to Lydia, Claire, Layla for 15 minutes late in the evening.\"\n24689,2017/04/28,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n24690,2017/04/28,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n24691,2017/04/29,\"On 2017/04/29, I took Delilah on a date to a park\",\"On 2017/04/29, I took Delilah on a date to a park\"\n24692,2017/04/29,I did weight lifting on 2017/04/29.,I did weight lifting on 2017/04/29.\n24693,2017/04/29,\"I had cereals for breakfast with Andrew, Carter, Emily\",\"I had cereals for breakfast with Andrew, Carter, Emily\"\n24694,2017/04/29,\"I had lunch with Jackson, Avery, Benjamin, Willow. I ate a burger.\",\"I had lunch with Jackson, Avery, Benjamin, Willow. I ate a burger.\"\n24695,2017/04/29,I had dinner with Avery. I ate fish and chips.,I had dinner with Avery. I ate fish and chips.\n24696,2017/04/29,I spent 26 talking to Olivia on various topics during lunch hours.,I spent 26 talking to Olivia on various topics during lunch hours.\n24697,2017/04/29,I spent 49 talking to Claire on various topics in the early evening.,I spent 49 talking to Claire on various topics in the early evening.\n24698,2017/04/29,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n24699,2017/04/29,I spent 29 minutes watching a tv series on TV today.,I spent 29 minutes watching a tv series on TV today.\n24700,2017/04/30,I did HIIT on 2017/04/30.,I did HIIT on 2017/04/30.\n24701,2017/04/30,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n24702,2017/04/30,I ate chinese food for lunch.,I ate chinese food for lunch.\n24703,2017/04/30,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n24704,2017/04/30,I talked to Layla for 40 minutes in the early afternoon.,I talked to Layla for 40 minutes in the early afternoon.\n24705,2017/04/30,\"I spent 11 talking to Piper, Layla, Olivia on various topics in the late afternoon.\",\"I spent 11 talking to Piper, Layla, Olivia on various topics in the late afternoon.\"\n24706,2017/04/30,I talked to Olivia for 39 minutes in the morning.,I talked to Olivia for 39 minutes in the morning.\n24707,2017/04/30,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n24708,2017/04/30,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n24709,2017/05/01,I went on a date with Cameron on 2017/05/01 at a coffee Shop,I went on a date with Cameron on 2017/05/01 at a coffee Shop\n24710,2017/05/01,\"I spent time meditation on 2017/05/01 with Claire, Nevaeh.\",\"I spent time meditation on 2017/05/01 with Claire, Nevaeh.\"\n24711,2017/05/01,\"I bought some blackberries, pineapples, apricots, milk, shampoo from the grocery store. I saw Kinsley, Claire, Nora, Nevaeh, Piper, Olivia, Rylee, Hazel, Layla at the grocery store.\",\"I bought some blackberries, pineapples, apricots, milk, shampoo from the grocery store. I saw Kinsley, Claire, Nora, Nevaeh, Piper, Olivia, Rylee, Hazel, Layla at the grocery store.\"\n24712,2017/05/01,I did running on 2017/05/01.,I did running on 2017/05/01.\n24713,2017/05/01,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n24714,2017/05/01,\"I had lunch with Avery, Jackson. I ate a burger.\",\"I had lunch with Avery, Jackson. I ate a burger.\"\n24715,2017/05/01,I had dinner with Jackson. I ate indian food.,I had dinner with Jackson. I ate indian food.\n24716,2017/05/01,I spent 31 talking to Piper on various topics in the morning.,I spent 31 talking to Piper on various topics in the morning.\n24717,2017/05/01,\"I spent 33 talking to Rylee, Olivia, Layla, Lydia on various topics late in the evening.\",\"I spent 33 talking to Rylee, Olivia, Layla, Lydia on various topics late in the evening.\"\n24718,2017/05/01,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n24719,2017/05/01,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n24720,2017/05/02,I did weight lifting on 2017/05/02.,I did weight lifting on 2017/05/02.\n24721,2017/05/02,\"I had peanut-butter-jam for breakfast with Piper, Nevaeh, Claire, Piper, Hazel, Rylee, Olivia, Layla, Kinsley\",\"I had peanut-butter-jam for breakfast with Piper, Nevaeh, Claire, Piper, Hazel, Rylee, Olivia, Layla, Kinsley\"\n24722,2017/05/02,I had lunch with Olivia. I ate sushi.,I had lunch with Olivia. I ate sushi.\n24723,2017/05/02,\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate chinese food.\",\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate chinese food.\"\n24724,2017/05/02,\"I spent 26 talking to Rylee, Piper, Avery, Lydia on various topics during lunch hours.\",\"I spent 26 talking to Rylee, Piper, Avery, Lydia on various topics during lunch hours.\"\n24725,2017/05/02,\"I talked to Layla, Lydia, Nora, Avery for 52 minutes in the early afternoon.\",\"I talked to Layla, Lydia, Nora, Avery for 52 minutes in the early afternoon.\"\n24726,2017/05/02,\"I spent 26 talking to Layla, Nora, Nevaeh, Olivia on various topics in the morning.\",\"I spent 26 talking to Layla, Nora, Nevaeh, Olivia on various topics in the morning.\"\n24727,2017/05/02,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n24728,2017/05/02,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n24729,2017/05/03,I did weight lifting on 2017/05/03.,I did weight lifting on 2017/05/03.\n24730,2017/05/03,\"I had breakfast with Carter, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Kayden. I ate peanut-butter-jam.\"\n24731,2017/05/03,\"I had lunch with Kayden, Andrew. I ate pasta.\",\"I had lunch with Kayden, Andrew. I ate pasta.\"\n24732,2017/05/03,\"I had sushi for dinner with Jackson, Willow\",\"I had sushi for dinner with Jackson, Willow\"\n24733,2017/05/03,\"I spent 48 talking to Nevaeh, Layla, Avery, Lydia on various topics in the late afternoon.\",\"I spent 48 talking to Nevaeh, Layla, Avery, Lydia on various topics in the late afternoon.\"\n24734,2017/05/03,\"I talked to Lydia, Kinsley, Claire for 20 minutes in the morning.\",\"I talked to Lydia, Kinsley, Claire for 20 minutes in the morning.\"\n24735,2017/05/03,I spent 51 talking to Piper on various topics in the morning.,I spent 51 talking to Piper on various topics in the morning.\n24736,2017/05/03,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n24737,2017/05/03,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n24738,2017/05/04,I did swimming on 2017/05/04.,I did swimming on 2017/05/04.\n24739,2017/05/04,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n24740,2017/05/04,\"I had lunch with Nora, Avery, Hazel. I ate tacos.\",\"I had lunch with Nora, Avery, Hazel. I ate tacos.\"\n24741,2017/05/04,I ate sushi for dinner.,I ate sushi for dinner.\n24742,2017/05/04,I spent 22 talking to Avery on various topics in the early evening.,I spent 22 talking to Avery on various topics in the early evening.\n24743,2017/05/04,\"I spent 46 talking to Kinsley, Piper on various topics late in the evening.\",\"I spent 46 talking to Kinsley, Piper on various topics late in the evening.\"\n24744,2017/05/04,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n24745,2017/05/04,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n24746,2017/05/05,I did weight lifting on 2017/05/05.,I did weight lifting on 2017/05/05.\n24747,2017/05/05,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n24748,2017/05/05,\"I had indian food for lunch with Avery, Willow, Benjamin\",\"I had indian food for lunch with Avery, Willow, Benjamin\"\n24749,2017/05/05,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n24750,2017/05/05,\"I talked to Eva, Claire for 13 minutes late in the evening.\",\"I talked to Eva, Claire for 13 minutes late in the evening.\"\n24751,2017/05/05,\"I spent 34 talking to Eva, Hazel, Rylee on various topics during lunch hours.\",\"I spent 34 talking to Eva, Hazel, Rylee on various topics during lunch hours.\"\n24752,2017/05/05,I talked to Eva for 36 minutes in the early afternoon.,I talked to Eva for 36 minutes in the early afternoon.\n24753,2017/05/05,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n24754,2017/05/05,I watched a movie for 17 minutes on TV today.,I watched a movie for 17 minutes on TV today.\n24755,2017/05/06,I really enjoyed learning a language on 2017/05/06,I really enjoyed learning a language on 2017/05/06\n24756,2017/05/06,\"I had oatmeal for breakfast with Kayden, Andrew, Emily\",\"I had oatmeal for breakfast with Kayden, Andrew, Emily\"\n24757,2017/05/06,I had pasta for lunch with Nora,I had pasta for lunch with Nora\n24758,2017/05/06,\"I had dinner with Kayden, Carter. I ate chinese food.\",\"I had dinner with Kayden, Carter. I ate chinese food.\"\n24759,2017/05/06,\"I spent 6 talking to Rylee, Piper, Nora on various topics in the early afternoon.\",\"I spent 6 talking to Rylee, Piper, Nora on various topics in the early afternoon.\"\n24760,2017/05/06,\"I talked to Rylee, Piper for 47 minutes during lunch hours.\",\"I talked to Rylee, Piper for 47 minutes during lunch hours.\"\n24761,2017/05/06,\"I talked to Claire, Lydia, Eva for 23 minutes late in the evening.\",\"I talked to Claire, Lydia, Eva for 23 minutes late in the evening.\"\n24762,2017/05/06,\"I talked to Layla, Avery, Eva for 46 minutes during lunch hours.\",\"I talked to Layla, Avery, Eva for 46 minutes during lunch hours.\"\n24763,2017/05/06,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n24764,2017/05/06,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n24765,2017/05/07,I did hiking on 2017/05/07.,I did hiking on 2017/05/07.\n24766,2017/05/07,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n24767,2017/05/07,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n24768,2017/05/07,\"I had fish and chips for dinner with Carter, Emily, Kayden, Andrew\",\"I had fish and chips for dinner with Carter, Emily, Kayden, Andrew\"\n24769,2017/05/07,\"I spent 41 talking to Piper, Rylee on various topics during lunch hours.\",\"I spent 41 talking to Piper, Rylee on various topics during lunch hours.\"\n24770,2017/05/07,\"I spent 47 talking to Eva, Lydia, Rylee, Piper on various topics in the morning.\",\"I spent 47 talking to Eva, Lydia, Rylee, Piper on various topics in the morning.\"\n24771,2017/05/07,\"I talked to Kinsley, Piper for 18 minutes in the early afternoon.\",\"I talked to Kinsley, Piper for 18 minutes in the early afternoon.\"\n24772,2017/05/07,I talked to Layla for 13 minutes in the early evening.,I talked to Layla for 13 minutes in the early evening.\n24773,2017/05/07,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n24774,2017/05/07,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n24775,2017/05/08,I did swimming on 2017/05/08.,I did swimming on 2017/05/08.\n24776,2017/05/08,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n24777,2017/05/08,I ate pasta for lunch.,I ate pasta for lunch.\n24778,2017/05/08,I prepare sushi for dinner.,I prepare sushi for dinner.\n24779,2017/05/08,I talked to Hazel for 49 minutes during lunch hours.,I talked to Hazel for 49 minutes during lunch hours.\n24780,2017/05/08,I talked to Piper for 49 minutes during lunch hours.,I talked to Piper for 49 minutes during lunch hours.\n24781,2017/05/08,\"I spent 48 talking to Rylee, Kinsley, Hazel on various topics in the early evening.\",\"I spent 48 talking to Rylee, Kinsley, Hazel on various topics in the early evening.\"\n24782,2017/05/08,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n24783,2017/05/08,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n24784,2017/05/09,I went for an annual physical checkup on 2017/05/09 at the hospital.,I went for an annual physical checkup on 2017/05/09 at the hospital.\n24785,2017/05/09,I did biking on 2017/05/09.,I did biking on 2017/05/09.\n24786,2017/05/09,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n24787,2017/05/09,I ate sandwich for lunch.,I ate sandwich for lunch.\n24788,2017/05/09,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n24789,2017/05/09,\"I spent 15 talking to Hazel, Layla, Piper on various topics in the early afternoon.\",\"I spent 15 talking to Hazel, Layla, Piper on various topics in the early afternoon.\"\n24790,2017/05/09,\"I spent 8 talking to Nevaeh, Rylee, Kinsley on various topics in the morning.\",\"I spent 8 talking to Nevaeh, Rylee, Kinsley on various topics in the morning.\"\n24791,2017/05/09,I talked to Rylee for 30 minutes in the late afternoon.,I talked to Rylee for 30 minutes in the late afternoon.\n24792,2017/05/09,\"I spent 44 talking to Kinsley, Layla, Lydia, Hazel on various topics late in the evening.\",\"I spent 44 talking to Kinsley, Layla, Lydia, Hazel on various topics late in the evening.\"\n24793,2017/05/09,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n24794,2017/05/09,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n24795,2017/05/10,\"I spent time working out on 2017/05/10 with Benjamin, Avery, Jackson.\",\"I spent time working out on 2017/05/10 with Benjamin, Avery, Jackson.\"\n24796,2017/05/10,I did HIIT on 2017/05/10.,I did HIIT on 2017/05/10.\n24797,2017/05/10,\"I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread.\"\n24798,2017/05/10,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n24799,2017/05/10,I prepare indian food for dinner.,I prepare indian food for dinner.\n24800,2017/05/10,\"I spent 12 talking to Eva, Piper on various topics in the early afternoon.\",\"I spent 12 talking to Eva, Piper on various topics in the early afternoon.\"\n24801,2017/05/10,I spent 24 talking to Rylee on various topics in the late afternoon.,I spent 24 talking to Rylee on various topics in the late afternoon.\n24802,2017/05/10,\"I spent 36 talking to Lydia, Nevaeh, Piper on various topics in the early evening.\",\"I spent 36 talking to Lydia, Nevaeh, Piper on various topics in the early evening.\"\n24803,2017/05/10,I talked to Rylee for 13 minutes in the early evening.,I talked to Rylee for 13 minutes in the early evening.\n24804,2017/05/10,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n24805,2017/05/10,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n24806,2017/05/11,I did biking on 2017/05/11.,I did biking on 2017/05/11.\n24807,2017/05/11,\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate cereals.\",\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate cereals.\"\n24808,2017/05/11,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n24809,2017/05/11,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n24810,2017/05/11,\"I talked to Olivia, Kinsley, Nevaeh for 42 minutes during lunch hours.\",\"I talked to Olivia, Kinsley, Nevaeh for 42 minutes during lunch hours.\"\n24811,2017/05/11,\"I spent 9 talking to Hazel, Piper, Avery, Rylee on various topics in the early afternoon.\",\"I spent 9 talking to Hazel, Piper, Avery, Rylee on various topics in the early afternoon.\"\n24812,2017/05/11,I talked to Claire for 34 minutes late in the evening.,I talked to Claire for 34 minutes late in the evening.\n24813,2017/05/11,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n24814,2017/05/11,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n24815,2017/05/12,I did swimming on 2017/05/12.,I did swimming on 2017/05/12.\n24816,2017/05/12,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n24817,2017/05/12,I prepare indian food for lunch.,I prepare indian food for lunch.\n24818,2017/05/12,\"I had sandwich for dinner with Andrew, Emily, Kayden, Carter\",\"I had sandwich for dinner with Andrew, Emily, Kayden, Carter\"\n24819,2017/05/12,\"I spent 10 talking to Hazel, Eva on various topics in the early evening.\",\"I spent 10 talking to Hazel, Eva on various topics in the early evening.\"\n24820,2017/05/12,I spent 15 talking to Piper on various topics in the late afternoon.,I spent 15 talking to Piper on various topics in the late afternoon.\n24821,2017/05/12,\"I talked to Lydia, Layla, Nevaeh for 23 minutes during lunch hours.\",\"I talked to Lydia, Layla, Nevaeh for 23 minutes during lunch hours.\"\n24822,2017/05/12,I spent 5 talking to Layla on various topics in the early afternoon.,I spent 5 talking to Layla on various topics in the early afternoon.\n24823,2017/05/12,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n24824,2017/05/12,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n24825,2017/05/13,\"On 2017/05/13, I took Madison on a date to a coffee Shop\",\"On 2017/05/13, I took Madison on a date to a coffee Shop\"\n24826,2017/05/13,\"I went grocery shopping with Jackson, Avery, Willow. I bought some strawberries, pineapples, cherres, pineapple juice, and paper towel, toothpaste, toilet paper, mouthwash\",\"I went grocery shopping with Jackson, Avery, Willow. I bought some strawberries, pineapples, cherres, pineapple juice, and paper towel, toothpaste, toilet paper, mouthwash\"\n24827,2017/05/13,I did weight lifting on 2017/05/13.,I did weight lifting on 2017/05/13.\n24828,2017/05/13,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n24829,2017/05/13,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n24830,2017/05/13,\"I had dinner with Kayden, Carter, Emily, Andrew. I ate steak.\",\"I had dinner with Kayden, Carter, Emily, Andrew. I ate steak.\"\n24831,2017/05/13,I spent 27 talking to Rylee on various topics in the late afternoon.,I spent 27 talking to Rylee on various topics in the late afternoon.\n24832,2017/05/13,\"I talked to Layla, Kinsley for 53 minutes in the morning.\",\"I talked to Layla, Kinsley for 53 minutes in the morning.\"\n24833,2017/05/13,\"I talked to Piper, Avery for 40 minutes in the early afternoon.\",\"I talked to Piper, Avery for 40 minutes in the early afternoon.\"\n24834,2017/05/13,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n24835,2017/05/13,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n24836,2017/05/14,I went on a date with Easton on 2017/05/14 at a restaurant,I went on a date with Easton on 2017/05/14 at a restaurant\n24837,2017/05/14,\"I went grocery shopping with Piper, Piper, Lydia, Avery, Eva, Rylee, Nora, Hazel. I bought some guava, bananas, apricots, sports drinks, pineapple juice, and mouth wash\",\"I went grocery shopping with Piper, Piper, Lydia, Avery, Eva, Rylee, Nora, Hazel. I bought some guava, bananas, apricots, sports drinks, pineapple juice, and mouth wash\"\n24838,2017/05/14,I did swimming on 2017/05/14.,I did swimming on 2017/05/14.\n24839,2017/05/14,\"I had breakfast with Claire, Nevaeh, Layla, Nora, Eva, Lydia, Kinsley, Olivia, Rylee. I ate pancakes.\",\"I had breakfast with Claire, Nevaeh, Layla, Nora, Eva, Lydia, Kinsley, Olivia, Rylee. I ate pancakes.\"\n24840,2017/05/14,\"I had lunch with Carter, Kayden. I ate steak.\",\"I had lunch with Carter, Kayden. I ate steak.\"\n24841,2017/05/14,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n24842,2017/05/14,\"I spent 53 talking to Olivia, Avery on various topics in the morning.\",\"I spent 53 talking to Olivia, Avery on various topics in the morning.\"\n24843,2017/05/14,\"I talked to Nevaeh, Claire for 35 minutes in the morning.\",\"I talked to Nevaeh, Claire for 35 minutes in the morning.\"\n24844,2017/05/14,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n24845,2017/05/14,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n24846,2017/05/15,I did running on 2017/05/15.,I did running on 2017/05/15.\n24847,2017/05/15,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n24848,2017/05/15,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n24849,2017/05/15,\"I had chinese food for dinner with Piper, Nora, Avery, Lydia, Olivia, Nevaeh, Eva, Kinsley, Layla, Rylee, Claire\",\"I had chinese food for dinner with Piper, Nora, Avery, Lydia, Olivia, Nevaeh, Eva, Kinsley, Layla, Rylee, Claire\"\n24850,2017/05/15,\"I talked to Hazel, Piper, Rylee for 51 minutes in the late afternoon.\",\"I talked to Hazel, Piper, Rylee for 51 minutes in the late afternoon.\"\n24851,2017/05/15,I spent 41 talking to Kinsley on various topics in the early afternoon.,I spent 41 talking to Kinsley on various topics in the early afternoon.\n24852,2017/05/15,\"I talked to Rylee, Nevaeh for 41 minutes in the late afternoon.\",\"I talked to Rylee, Nevaeh for 41 minutes in the late afternoon.\"\n24853,2017/05/15,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n24854,2017/05/15,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n24855,2017/05/16,I did HIIT on 2017/05/16.,I did HIIT on 2017/05/16.\n24856,2017/05/16,\"I had breakfast with Avery, Willow, Benjamin. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Willow, Benjamin. I ate eggs, sausages, and bread.\"\n24857,2017/05/16,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n24858,2017/05/16,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n24859,2017/05/16,\"I talked to Eva, Rylee for 30 minutes in the early afternoon.\",\"I talked to Eva, Rylee for 30 minutes in the early afternoon.\"\n24860,2017/05/16,\"I talked to Nora, Kinsley, Rylee for 48 minutes in the early afternoon.\",\"I talked to Nora, Kinsley, Rylee for 48 minutes in the early afternoon.\"\n24861,2017/05/16,I spent 37 talking to Kinsley on various topics in the early evening.,I spent 37 talking to Kinsley on various topics in the early evening.\n24862,2017/05/16,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n24863,2017/05/16,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n24864,2017/05/17,I did hiking on 2017/05/17.,I did hiking on 2017/05/17.\n24865,2017/05/17,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n24866,2017/05/17,\"I had lunch with Willow, Jackson, Benjamin, Avery. I ate pasta.\",\"I had lunch with Willow, Jackson, Benjamin, Avery. I ate pasta.\"\n24867,2017/05/17,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n24868,2017/05/17,\"I talked to Kinsley, Eva, Nora for 17 minutes in the late afternoon.\",\"I talked to Kinsley, Eva, Nora for 17 minutes in the late afternoon.\"\n24869,2017/05/17,I talked to Avery for 32 minutes late in the evening.,I talked to Avery for 32 minutes late in the evening.\n24870,2017/05/17,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n24871,2017/05/17,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n24872,2017/05/18,\"On 2017/05/18, I took Evelyn on a date to a park\",\"On 2017/05/18, I took Evelyn on a date to a park\"\n24873,2017/05/18,I did swimming on 2017/05/18.,I did swimming on 2017/05/18.\n24874,2017/05/18,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n24875,2017/05/18,\"I had steak for lunch with Emily, Kayden\",\"I had steak for lunch with Emily, Kayden\"\n24876,2017/05/18,\"I had dinner with Avery, Benjamin, Willow, Jackson. I ate pasta.\",\"I had dinner with Avery, Benjamin, Willow, Jackson. I ate pasta.\"\n24877,2017/05/18,I spent 18 talking to Eva on various topics late in the evening.,I spent 18 talking to Eva on various topics late in the evening.\n24878,2017/05/18,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n24879,2017/05/18,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n24880,2017/05/19,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n24881,2017/05/19,I had lunch with Jackson. I ate pasta.,I had lunch with Jackson. I ate pasta.\n24882,2017/05/19,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n24883,2017/05/19,\"I talked to Claire, Layla, Rylee for 5 minutes late in the evening.\",\"I talked to Claire, Layla, Rylee for 5 minutes late in the evening.\"\n24884,2017/05/19,\"I spent 17 talking to Lydia, Hazel, Avery on various topics in the morning.\",\"I spent 17 talking to Lydia, Hazel, Avery on various topics in the morning.\"\n24885,2017/05/19,\"I talked to Lydia, Eva, Avery for 31 minutes in the early evening.\",\"I talked to Lydia, Eva, Avery for 31 minutes in the early evening.\"\n24886,2017/05/19,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n24887,2017/05/19,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n24888,2017/05/20,I really enjoyed yoga on 2017/05/20,I really enjoyed yoga on 2017/05/20\n24889,2017/05/20,\"I went grocery shopping with Kayden, Emily, Carter. I bought some bananas, blueberries, mango juice, chocolate milk, coffee, and shaving cream, toothbrush, conditioner, paper towel\",\"I went grocery shopping with Kayden, Emily, Carter. I bought some bananas, blueberries, mango juice, chocolate milk, coffee, and shaving cream, toothbrush, conditioner, paper towel\"\n24890,2017/05/20,I did swimming on 2017/05/20.,I did swimming on 2017/05/20.\n24891,2017/05/20,\"I had breakfast with Jackson, Benjamin, Avery, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Benjamin, Avery, Willow. I ate eggs, sausages, and bread.\"\n24892,2017/05/20,I ate a burger for lunch.,I ate a burger for lunch.\n24893,2017/05/20,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n24894,2017/05/20,I spent 6 talking to Nora on various topics in the early afternoon.,I spent 6 talking to Nora on various topics in the early afternoon.\n24895,2017/05/20,\"I talked to Lydia, Nevaeh for 47 minutes late in the evening.\",\"I talked to Lydia, Nevaeh for 47 minutes late in the evening.\"\n24896,2017/05/20,\"I spent 24 talking to Avery, Kinsley, Layla, Lydia on various topics in the morning.\",\"I spent 24 talking to Avery, Kinsley, Layla, Lydia on various topics in the morning.\"\n24897,2017/05/20,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n24898,2017/05/20,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n24899,2017/05/21,I did swimming on 2017/05/21.,I did swimming on 2017/05/21.\n24900,2017/05/21,\"I had breakfast with Piper, Claire, Piper, Hazel, Kinsley, Nora. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Claire, Piper, Hazel, Kinsley, Nora. I ate eggs, sausages, and bread.\"\n24901,2017/05/21,I had lunch. I ate steak.,I had lunch. I ate steak.\n24902,2017/05/21,I prepare tacos for dinner.,I prepare tacos for dinner.\n24903,2017/05/21,\"I spent 49 talking to Nevaeh, Lydia, Rylee, Piper on various topics late in the evening.\",\"I spent 49 talking to Nevaeh, Lydia, Rylee, Piper on various topics late in the evening.\"\n24904,2017/05/21,\"I spent 23 talking to Nora, Kinsley on various topics in the early evening.\",\"I spent 23 talking to Nora, Kinsley on various topics in the early evening.\"\n24905,2017/05/21,I spent 45 talking to Olivia on various topics in the early evening.,I spent 45 talking to Olivia on various topics in the early evening.\n24906,2017/05/21,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n24907,2017/05/21,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n24908,2017/05/22,I did HIIT on 2017/05/22.,I did HIIT on 2017/05/22.\n24909,2017/05/22,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n24910,2017/05/22,\"I had sushi for lunch with Hazel, Nevaeh, Piper, Piper, Kinsley, Layla, Eva\",\"I had sushi for lunch with Hazel, Nevaeh, Piper, Piper, Kinsley, Layla, Eva\"\n24911,2017/05/22,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n24912,2017/05/22,I talked to Piper for 43 minutes late in the evening.,I talked to Piper for 43 minutes late in the evening.\n24913,2017/05/22,\"I spent 30 talking to Lydia, Eva, Piper, Piper on various topics in the early evening.\",\"I spent 30 talking to Lydia, Eva, Piper, Piper on various topics in the early evening.\"\n24914,2017/05/22,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n24915,2017/05/22,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n24916,2017/05/23,I did weight lifting on 2017/05/23.,I did weight lifting on 2017/05/23.\n24917,2017/05/23,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n24918,2017/05/23,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n24919,2017/05/23,I prepare steak for dinner.,I prepare steak for dinner.\n24920,2017/05/23,\"I spent 33 talking to Avery, Nevaeh, Nora on various topics late in the evening.\",\"I spent 33 talking to Avery, Nevaeh, Nora on various topics late in the evening.\"\n24921,2017/05/23,\"I spent 40 talking to Kinsley, Nevaeh, Rylee on various topics during lunch hours.\",\"I spent 40 talking to Kinsley, Nevaeh, Rylee on various topics during lunch hours.\"\n24922,2017/05/23,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n24923,2017/05/23,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n24924,2017/05/24,\"I bought some nectarines, chocolate milk, facial wash, mouthwash, paper towel, shaving cream from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\",\"I bought some nectarines, chocolate milk, facial wash, mouthwash, paper towel, shaving cream from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\"\n24925,2017/05/24,I did swimming on 2017/05/24.,I did swimming on 2017/05/24.\n24926,2017/05/24,\"I had cereals for breakfast with Hazel, Nevaeh, Claire, Piper, Olivia, Avery, Piper, Eva, Layla, Lydia\",\"I had cereals for breakfast with Hazel, Nevaeh, Claire, Piper, Olivia, Avery, Piper, Eva, Layla, Lydia\"\n24927,2017/05/24,I ate sandwich for lunch.,I ate sandwich for lunch.\n24928,2017/05/24,\"I had dinner with Kayden, Carter, Emily, Andrew. I ate indian food.\",\"I had dinner with Kayden, Carter, Emily, Andrew. I ate indian food.\"\n24929,2017/05/24,\"I talked to Hazel, Olivia, Lydia, Kinsley for 7 minutes during lunch hours.\",\"I talked to Hazel, Olivia, Lydia, Kinsley for 7 minutes during lunch hours.\"\n24930,2017/05/24,\"I talked to Layla, Rylee for 5 minutes late in the evening.\",\"I talked to Layla, Rylee for 5 minutes late in the evening.\"\n24931,2017/05/24,\"I spent 50 talking to Rylee, Nevaeh, Nora, Piper on various topics in the late afternoon.\",\"I spent 50 talking to Rylee, Nevaeh, Nora, Piper on various topics in the late afternoon.\"\n24932,2017/05/24,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n24933,2017/05/24,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n24934,2017/05/25,\"I entertained Piper, Rylee at my place on 2017/05/25 and cook swedish meatball recipe\",\"I entertained Piper, Rylee at my place on 2017/05/25 and cook swedish meatball recipe\"\n24935,2017/05/25,I did hiking on 2017/05/25.,I did hiking on 2017/05/25.\n24936,2017/05/25,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n24937,2017/05/25,I prepare steak for lunch.,I prepare steak for lunch.\n24938,2017/05/25,\"I had dinner with Avery, Jackson. I ate sushi.\",\"I had dinner with Avery, Jackson. I ate sushi.\"\n24939,2017/05/25,\"I talked to Layla, Olivia, Nevaeh for 43 minutes in the morning.\",\"I talked to Layla, Olivia, Nevaeh for 43 minutes in the morning.\"\n24940,2017/05/25,\"I talked to Hazel, Eva for 53 minutes late in the evening.\",\"I talked to Hazel, Eva for 53 minutes late in the evening.\"\n24941,2017/05/25,I talked to Piper for 32 minutes during lunch hours.,I talked to Piper for 32 minutes during lunch hours.\n24942,2017/05/25,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n24943,2017/05/25,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n24944,2017/05/26,I really enjoyed meditation on 2017/05/26,I really enjoyed meditation on 2017/05/26\n24945,2017/05/26,I did swimming on 2017/05/26.,I did swimming on 2017/05/26.\n24946,2017/05/26,I had breakfast with Andrew. I ate cereals.,I had breakfast with Andrew. I ate cereals.\n24947,2017/05/26,\"I had lunch with Lydia, Olivia, Hazel, Layla. I ate indian food.\",\"I had lunch with Lydia, Olivia, Hazel, Layla. I ate indian food.\"\n24948,2017/05/26,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n24949,2017/05/26,\"I spent 33 talking to Claire, Rylee on various topics late in the evening.\",\"I spent 33 talking to Claire, Rylee on various topics late in the evening.\"\n24950,2017/05/26,\"I talked to Lydia, Nora for 43 minutes during lunch hours.\",\"I talked to Lydia, Nora for 43 minutes during lunch hours.\"\n24951,2017/05/26,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n24952,2017/05/26,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n24953,2017/05/27,I did hiking on 2017/05/27.,I did hiking on 2017/05/27.\n24954,2017/05/27,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n24955,2017/05/27,I prepare a burger for lunch.,I prepare a burger for lunch.\n24956,2017/05/27,I ate pasta for dinner.,I ate pasta for dinner.\n24957,2017/05/27,\"I spent 6 talking to Claire, Hazel on various topics during lunch hours.\",\"I spent 6 talking to Claire, Hazel on various topics during lunch hours.\"\n24958,2017/05/27,\"I spent 40 talking to Kinsley, Eva, Nevaeh, Hazel on various topics during lunch hours.\",\"I spent 40 talking to Kinsley, Eva, Nevaeh, Hazel on various topics during lunch hours.\"\n24959,2017/05/27,\"I spent 28 talking to Rylee, Olivia, Layla, Eva on various topics in the early evening.\",\"I spent 28 talking to Rylee, Olivia, Layla, Eva on various topics in the early evening.\"\n24960,2017/05/27,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n24961,2017/05/27,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n24962,2017/05/28,\"I went grocery shopping. I bought some blackberries, raspberries, bananas, mango juice, and toothpaste, toothbrush, mouth wash, conditioner\",\"I went grocery shopping. I bought some blackberries, raspberries, bananas, mango juice, and toothpaste, toothbrush, mouth wash, conditioner\"\n24963,2017/05/28,I did running on 2017/05/28.,I did running on 2017/05/28.\n24964,2017/05/28,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n24965,2017/05/28,\"I had lunch with Willow, Jackson, Benjamin. I ate steak.\",\"I had lunch with Willow, Jackson, Benjamin. I ate steak.\"\n24966,2017/05/28,\"I had dinner with Kayden, Emily. I ate pasta.\",\"I had dinner with Kayden, Emily. I ate pasta.\"\n24967,2017/05/28,\"I spent 36 talking to Kinsley, Layla on various topics in the late afternoon.\",\"I spent 36 talking to Kinsley, Layla on various topics in the late afternoon.\"\n24968,2017/05/28,\"I spent 30 talking to Nora, Claire, Rylee on various topics in the early afternoon.\",\"I spent 30 talking to Nora, Claire, Rylee on various topics in the early afternoon.\"\n24969,2017/05/28,\"I spent 53 talking to Layla, Lydia on various topics late in the evening.\",\"I spent 53 talking to Layla, Lydia on various topics late in the evening.\"\n24970,2017/05/28,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n24971,2017/05/28,I spent 54 minutes watching a movie on TV today.,I spent 54 minutes watching a movie on TV today.\n24972,2017/05/29,I went on a date with Parker on 2017/05/29 at a boba shop,I went on a date with Parker on 2017/05/29 at a boba shop\n24973,2017/05/29,I spent some time working out on 2017/05/29.,I spent some time working out on 2017/05/29.\n24974,2017/05/29,I did HIIT on 2017/05/29.,I did HIIT on 2017/05/29.\n24975,2017/05/29,\"I had toast and cheese for breakfast with Kayden, Emily, Carter\",\"I had toast and cheese for breakfast with Kayden, Emily, Carter\"\n24976,2017/05/29,I ate sandwich for lunch.,I ate sandwich for lunch.\n24977,2017/05/29,\"I had dinner with Kayden, Carter. I ate steak.\",\"I had dinner with Kayden, Carter. I ate steak.\"\n24978,2017/05/29,\"I spent 35 talking to Lydia, Rylee, Hazel on various topics in the morning.\",\"I spent 35 talking to Lydia, Rylee, Hazel on various topics in the morning.\"\n24979,2017/05/29,\"I spent 8 talking to Hazel, Lydia on various topics late in the evening.\",\"I spent 8 talking to Hazel, Lydia on various topics late in the evening.\"\n24980,2017/05/29,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n24981,2017/05/29,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n24982,2017/05/30,I did HIIT on 2017/05/30.,I did HIIT on 2017/05/30.\n24983,2017/05/30,\"I had breakfast with Jackson, Avery, Willow, Benjamin. I ate peanut-butter-jam.\",\"I had breakfast with Jackson, Avery, Willow, Benjamin. I ate peanut-butter-jam.\"\n24984,2017/05/30,I ate sushi for lunch.,I ate sushi for lunch.\n24985,2017/05/30,\"I had chinese food for dinner with Kinsley, Rylee, Claire, Olivia, Piper, Nora, Layla, Lydia, Piper, Nevaeh, Avery\",\"I had chinese food for dinner with Kinsley, Rylee, Claire, Olivia, Piper, Nora, Layla, Lydia, Piper, Nevaeh, Avery\"\n24986,2017/05/30,\"I spent 22 talking to Nora, Eva on various topics in the early evening.\",\"I spent 22 talking to Nora, Eva on various topics in the early evening.\"\n24987,2017/05/30,\"I talked to Eva, Nevaeh, Kinsley, Claire for 23 minutes late in the evening.\",\"I talked to Eva, Nevaeh, Kinsley, Claire for 23 minutes late in the evening.\"\n24988,2017/05/30,I spent 5 talking to Piper on various topics in the morning.,I spent 5 talking to Piper on various topics in the morning.\n24989,2017/05/30,\"I spent 37 talking to Kinsley, Lydia on various topics in the early afternoon.\",\"I spent 37 talking to Kinsley, Lydia on various topics in the early afternoon.\"\n24990,2017/05/30,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n24991,2017/05/30,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n24992,2017/05/31,I did HIIT on 2017/05/31.,I did HIIT on 2017/05/31.\n24993,2017/05/31,\"I had peanut-butter-jam for breakfast with Andrew, Emily, Kayden\",\"I had peanut-butter-jam for breakfast with Andrew, Emily, Kayden\"\n24994,2017/05/31,\"I had lunch with Carter, Andrew, Kayden, Emily. I ate tacos.\",\"I had lunch with Carter, Andrew, Kayden, Emily. I ate tacos.\"\n24995,2017/05/31,I prepare a burger for dinner.,I prepare a burger for dinner.\n24996,2017/05/31,\"I spent 54 talking to Avery, Eva, Nevaeh, Piper on various topics during lunch hours.\",\"I spent 54 talking to Avery, Eva, Nevaeh, Piper on various topics during lunch hours.\"\n24997,2017/05/31,\"I talked to Eva, Nevaeh for 18 minutes in the early afternoon.\",\"I talked to Eva, Nevaeh for 18 minutes in the early afternoon.\"\n24998,2017/05/31,\"I talked to Olivia, Avery, Kinsley for 18 minutes in the morning.\",\"I talked to Olivia, Avery, Kinsley for 18 minutes in the morning.\"\n24999,2017/05/31,\"I spent 17 talking to Avery, Rylee, Piper on various topics in the morning.\",\"I spent 17 talking to Avery, Rylee, Piper on various topics in the morning.\"\n25000,2017/05/31,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n25001,2017/05/31,I watched a tv series for 30 minutes on TV today.,I watched a tv series for 30 minutes on TV today.\n25002,2017/06/01,\"On 2017/06/01, I took Caroline on a date to a boba shop\",\"On 2017/06/01, I took Caroline on a date to a boba shop\"\n25003,2017/06/01,I did biking on 2017/06/01.,I did biking on 2017/06/01.\n25004,2017/06/01,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n25005,2017/06/01,\"I had lunch with Piper, Nevaeh, Layla, Claire, Piper, Nora, Eva, Hazel, Rylee, Lydia, Kinsley, Olivia. I ate tacos.\",\"I had lunch with Piper, Nevaeh, Layla, Claire, Piper, Nora, Eva, Hazel, Rylee, Lydia, Kinsley, Olivia. I ate tacos.\"\n25006,2017/06/01,I had dinner with Emily. I ate fish and chips.,I had dinner with Emily. I ate fish and chips.\n25007,2017/06/01,\"I spent 16 talking to Layla, Claire on various topics late in the evening.\",\"I spent 16 talking to Layla, Claire on various topics late in the evening.\"\n25008,2017/06/01,\"I talked to Avery, Nora for 7 minutes in the early evening.\",\"I talked to Avery, Nora for 7 minutes in the early evening.\"\n25009,2017/06/01,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n25010,2017/06/01,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n25011,2017/06/02,\"I bought some nectarines, blackberries, pineapples, apples, coffee, mango juice, shampoo, body lotion online.\",\"I bought some nectarines, blackberries, pineapples, apples, coffee, mango juice, shampoo, body lotion online.\"\n25012,2017/06/02,I did HIIT on 2017/06/02.,I did HIIT on 2017/06/02.\n25013,2017/06/02,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n25014,2017/06/02,I ate sandwich for lunch.,I ate sandwich for lunch.\n25015,2017/06/02,I ate indian food for dinner.,I ate indian food for dinner.\n25016,2017/06/02,\"I talked to Nevaeh, Nora for 26 minutes in the late afternoon.\",\"I talked to Nevaeh, Nora for 26 minutes in the late afternoon.\"\n25017,2017/06/02,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n25018,2017/06/02,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n25019,2017/06/03,I did biking on 2017/06/03.,I did biking on 2017/06/03.\n25020,2017/06/03,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n25021,2017/06/03,\"I had sushi for lunch with Nevaeh, Nora, Lydia, Piper, Claire, Rylee, Hazel, Olivia, Eva, Layla, Kinsley, Avery, Piper\",\"I had sushi for lunch with Nevaeh, Nora, Lydia, Piper, Claire, Rylee, Hazel, Olivia, Eva, Layla, Kinsley, Avery, Piper\"\n25022,2017/06/03,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n25023,2017/06/03,\"I spent 31 talking to Hazel, Nora on various topics late in the evening.\",\"I spent 31 talking to Hazel, Nora on various topics late in the evening.\"\n25024,2017/06/03,I talked to Lydia for 6 minutes in the late afternoon.,I talked to Lydia for 6 minutes in the late afternoon.\n25025,2017/06/03,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n25026,2017/06/03,I watched a tv series for 51 minutes on TV today.,I watched a tv series for 51 minutes on TV today.\n25027,2017/06/04,I did running on 2017/06/04.,I did running on 2017/06/04.\n25028,2017/06/04,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n25029,2017/06/04,I ate sandwich for lunch.,I ate sandwich for lunch.\n25030,2017/06/04,I ate pasta for dinner.,I ate pasta for dinner.\n25031,2017/06/04,\"I talked to Piper, Lydia, Hazel for 14 minutes in the early evening.\",\"I talked to Piper, Lydia, Hazel for 14 minutes in the early evening.\"\n25032,2017/06/04,\"I talked to Piper, Nora, Avery for 33 minutes in the late afternoon.\",\"I talked to Piper, Nora, Avery for 33 minutes in the late afternoon.\"\n25033,2017/06/04,\"I talked to Avery, Eva for 15 minutes in the late afternoon.\",\"I talked to Avery, Eva for 15 minutes in the late afternoon.\"\n25034,2017/06/04,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n25035,2017/06/04,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n25036,2017/06/05,I did weight lifting on 2017/06/05.,I did weight lifting on 2017/06/05.\n25037,2017/06/05,\"I had breakfast with Emily, Andrew, Carter, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew, Carter, Kayden. I ate peanut-butter-jam.\"\n25038,2017/06/05,I prepare sushi for lunch.,I prepare sushi for lunch.\n25039,2017/06/05,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n25040,2017/06/05,\"I spent 16 talking to Hazel, Piper, Nevaeh on various topics in the morning.\",\"I spent 16 talking to Hazel, Piper, Nevaeh on various topics in the morning.\"\n25041,2017/06/05,\"I talked to Claire, Eva, Piper, Nevaeh for 20 minutes in the late afternoon.\",\"I talked to Claire, Eva, Piper, Nevaeh for 20 minutes in the late afternoon.\"\n25042,2017/06/05,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n25043,2017/06/05,I spent 34 minutes watching a tv series on TV today.,I spent 34 minutes watching a tv series on TV today.\n25044,2017/06/06,I did swimming on 2017/06/06.,I did swimming on 2017/06/06.\n25045,2017/06/06,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n25046,2017/06/06,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n25047,2017/06/06,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n25048,2017/06/06,\"I talked to Piper, Eva for 32 minutes during lunch hours.\",\"I talked to Piper, Eva for 32 minutes during lunch hours.\"\n25049,2017/06/06,\"I spent 7 talking to Piper, Claire, Lydia, Layla on various topics in the morning.\",\"I spent 7 talking to Piper, Claire, Lydia, Layla on various topics in the morning.\"\n25050,2017/06/06,\"I spent 39 talking to Piper, Eva, Lydia, Nevaeh on various topics during lunch hours.\",\"I spent 39 talking to Piper, Eva, Lydia, Nevaeh on various topics during lunch hours.\"\n25051,2017/06/06,\"I talked to Avery, Nevaeh, Hazel, Piper for 40 minutes in the morning.\",\"I talked to Avery, Nevaeh, Hazel, Piper for 40 minutes in the morning.\"\n25052,2017/06/06,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n25053,2017/06/06,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n25054,2017/06/07,\"I was baking cheater’s mini rhubarb galettes, peanut butter cookies, easy peanut butter fudge on 2017/06/07 with Avery, Eva at my place\",\"I was baking cheater’s mini rhubarb galettes, peanut butter cookies, easy peanut butter fudge on 2017/06/07 with Avery, Eva at my place\"\n25055,2017/06/07,I did HIIT on 2017/06/07.,I did HIIT on 2017/06/07.\n25056,2017/06/07,\"I had eggs, sausages, and bread for breakfast with Piper, Nevaeh, Lydia, Claire, Avery, Olivia, Rylee, Kinsley, Nora, Hazel, Piper, Layla, Eva\",\"I had eggs, sausages, and bread for breakfast with Piper, Nevaeh, Lydia, Claire, Avery, Olivia, Rylee, Kinsley, Nora, Hazel, Piper, Layla, Eva\"\n25057,2017/06/07,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n25058,2017/06/07,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n25059,2017/06/07,\"I spent 23 talking to Claire, Piper on various topics during lunch hours.\",\"I spent 23 talking to Claire, Piper on various topics during lunch hours.\"\n25060,2017/06/07,\"I spent 6 talking to Nora, Piper on various topics in the early afternoon.\",\"I spent 6 talking to Nora, Piper on various topics in the early afternoon.\"\n25061,2017/06/07,I talked to Layla for 41 minutes during lunch hours.,I talked to Layla for 41 minutes during lunch hours.\n25062,2017/06/07,\"I spent 44 talking to Piper, Kinsley, Claire, Hazel on various topics in the late afternoon.\",\"I spent 44 talking to Piper, Kinsley, Claire, Hazel on various topics in the late afternoon.\"\n25063,2017/06/07,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n25064,2017/06/07,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n25065,2017/06/08,I did biking on 2017/06/08.,I did biking on 2017/06/08.\n25066,2017/06/08,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n25067,2017/06/08,I had pasta for lunch with Kayden,I had pasta for lunch with Kayden\n25068,2017/06/08,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n25069,2017/06/08,\"I spent 15 talking to Olivia, Nora, Claire, Hazel on various topics in the morning.\",\"I spent 15 talking to Olivia, Nora, Claire, Hazel on various topics in the morning.\"\n25070,2017/06/08,\"I talked to Avery, Lydia for 24 minutes during lunch hours.\",\"I talked to Avery, Lydia for 24 minutes during lunch hours.\"\n25071,2017/06/08,\"I talked to Nevaeh, Piper, Piper for 39 minutes in the early evening.\",\"I talked to Nevaeh, Piper, Piper for 39 minutes in the early evening.\"\n25072,2017/06/08,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n25073,2017/06/08,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n25074,2017/06/09,I went on a date with Henry on 2017/06/09 at a restaurant,I went on a date with Henry on 2017/06/09 at a restaurant\n25075,2017/06/09,\"I went grocery shopping with Nora, Olivia, Hazel, Nevaeh, Piper, Piper, Layla, Rylee, Eva, Kinsley, Avery. I bought some oranges, nectarines, orange juice, coffee, mineral water, milk, and conditioner\",\"I went grocery shopping with Nora, Olivia, Hazel, Nevaeh, Piper, Piper, Layla, Rylee, Eva, Kinsley, Avery. I bought some oranges, nectarines, orange juice, coffee, mineral water, milk, and conditioner\"\n25076,2017/06/09,I did weight lifting on 2017/06/09.,I did weight lifting on 2017/06/09.\n25077,2017/06/09,\"I had oatmeal for breakfast with Emily, Andrew, Carter, Kayden\",\"I had oatmeal for breakfast with Emily, Andrew, Carter, Kayden\"\n25078,2017/06/09,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n25079,2017/06/09,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n25080,2017/06/09,\"I talked to Eva, Lydia, Avery, Nevaeh for 32 minutes in the late afternoon.\",\"I talked to Eva, Lydia, Avery, Nevaeh for 32 minutes in the late afternoon.\"\n25081,2017/06/09,\"I talked to Hazel, Avery, Kinsley for 37 minutes in the early evening.\",\"I talked to Hazel, Avery, Kinsley for 37 minutes in the early evening.\"\n25082,2017/06/09,I spent 47 talking to Hazel on various topics during lunch hours.,I spent 47 talking to Hazel on various topics during lunch hours.\n25083,2017/06/09,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n25084,2017/06/09,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n25085,2017/06/10,I did running on 2017/06/10.,I did running on 2017/06/10.\n25086,2017/06/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n25087,2017/06/10,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n25088,2017/06/10,I ate pasta for dinner.,I ate pasta for dinner.\n25089,2017/06/10,\"I spent 55 talking to Olivia, Claire, Avery, Piper on various topics during lunch hours.\",\"I spent 55 talking to Olivia, Claire, Avery, Piper on various topics during lunch hours.\"\n25090,2017/06/10,\"I talked to Lydia, Piper for 52 minutes in the early evening.\",\"I talked to Lydia, Piper for 52 minutes in the early evening.\"\n25091,2017/06/10,\"I talked to Kinsley, Hazel for 55 minutes during lunch hours.\",\"I talked to Kinsley, Hazel for 55 minutes during lunch hours.\"\n25092,2017/06/10,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n25093,2017/06/10,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n25094,2017/06/11,I did running on 2017/06/11.,I did running on 2017/06/11.\n25095,2017/06/11,\"I had oatmeal for breakfast with Eva, Nevaeh, Piper\",\"I had oatmeal for breakfast with Eva, Nevaeh, Piper\"\n25096,2017/06/11,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n25097,2017/06/11,\"I had dinner with Avery, Olivia, Piper, Kinsley, Piper, Nora, Eva, Claire. I ate sandwich.\",\"I had dinner with Avery, Olivia, Piper, Kinsley, Piper, Nora, Eva, Claire. I ate sandwich.\"\n25098,2017/06/11,\"I talked to Piper, Nora for 51 minutes in the early afternoon.\",\"I talked to Piper, Nora for 51 minutes in the early afternoon.\"\n25099,2017/06/11,I talked to Claire for 49 minutes in the early evening.,I talked to Claire for 49 minutes in the early evening.\n25100,2017/06/11,\"I spent 21 talking to Piper, Nevaeh, Piper, Layla on various topics in the early evening.\",\"I spent 21 talking to Piper, Nevaeh, Piper, Layla on various topics in the early evening.\"\n25101,2017/06/11,I spent 11 talking to Rylee on various topics in the morning.,I spent 11 talking to Rylee on various topics in the morning.\n25102,2017/06/11,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n25103,2017/06/11,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n25104,2017/06/12,I went on a date with William on 2017/06/12 at a park,I went on a date with William on 2017/06/12 at a park\n25105,2017/06/12,I spent some time yoga on 2017/06/12.,I spent some time yoga on 2017/06/12.\n25106,2017/06/12,I did swimming on 2017/06/12.,I did swimming on 2017/06/12.\n25107,2017/06/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n25108,2017/06/12,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n25109,2017/06/12,I prepare pasta for dinner.,I prepare pasta for dinner.\n25110,2017/06/12,\"I spent 39 talking to Eva, Kinsley, Lydia on various topics in the early afternoon.\",\"I spent 39 talking to Eva, Kinsley, Lydia on various topics in the early afternoon.\"\n25111,2017/06/12,\"I talked to Piper, Lydia, Piper for 35 minutes in the morning.\",\"I talked to Piper, Lydia, Piper for 35 minutes in the morning.\"\n25112,2017/06/12,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n25113,2017/06/12,I spent 29 minutes watching a movie on TV today.,I spent 29 minutes watching a movie on TV today.\n25114,2017/06/13,\"I went grocery shopping. I bought some mangos, soda, orange juice, pineapple juice, and toilet paper, body lotion\",\"I went grocery shopping. I bought some mangos, soda, orange juice, pineapple juice, and toilet paper, body lotion\"\n25115,2017/06/13,I did weight lifting on 2017/06/13.,I did weight lifting on 2017/06/13.\n25116,2017/06/13,\"I had pancakes for breakfast with Emily, Andrew, Kayden, Carter\",\"I had pancakes for breakfast with Emily, Andrew, Kayden, Carter\"\n25117,2017/06/13,I prepare steak for lunch.,I prepare steak for lunch.\n25118,2017/06/13,\"I had sandwich for dinner with Olivia, Avery, Layla, Piper, Piper, Hazel, Nevaeh, Lydia, Kinsley, Rylee, Claire\",\"I had sandwich for dinner with Olivia, Avery, Layla, Piper, Piper, Hazel, Nevaeh, Lydia, Kinsley, Rylee, Claire\"\n25119,2017/06/13,\"I spent 38 talking to Rylee, Hazel, Avery, Lydia on various topics in the late afternoon.\",\"I spent 38 talking to Rylee, Hazel, Avery, Lydia on various topics in the late afternoon.\"\n25120,2017/06/13,I spent 54 talking to Nevaeh on various topics in the morning.,I spent 54 talking to Nevaeh on various topics in the morning.\n25121,2017/06/13,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n25122,2017/06/13,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n25123,2017/06/14,I went on a date with Ezekiel on 2017/06/14 at a restaurant,I went on a date with Ezekiel on 2017/06/14 at a restaurant\n25124,2017/06/14,I did biking on 2017/06/14.,I did biking on 2017/06/14.\n25125,2017/06/14,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n25126,2017/06/14,\"I had lunch with Emily, Carter, Andrew. I ate pasta.\",\"I had lunch with Emily, Carter, Andrew. I ate pasta.\"\n25127,2017/06/14,\"I had indian food for dinner with Carter, Emily\",\"I had indian food for dinner with Carter, Emily\"\n25128,2017/06/14,\"I spent 32 talking to Eva, Avery, Hazel on various topics in the early evening.\",\"I spent 32 talking to Eva, Avery, Hazel on various topics in the early evening.\"\n25129,2017/06/14,\"I talked to Hazel, Lydia, Olivia for 23 minutes during lunch hours.\",\"I talked to Hazel, Lydia, Olivia for 23 minutes during lunch hours.\"\n25130,2017/06/14,I spent 54 talking to Nevaeh on various topics late in the evening.,I spent 54 talking to Nevaeh on various topics late in the evening.\n25131,2017/06/14,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n25132,2017/06/14,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n25133,2017/06/15,\"I entertained Emily, Carter at my place on 2017/06/15 and bake brownies, chrissy teigen’s 3-ingredient chocolate mousse\",\"I entertained Emily, Carter at my place on 2017/06/15 and bake brownies, chrissy teigen’s 3-ingredient chocolate mousse\"\n25134,2017/06/15,I spent some time gardening on 2017/06/15.,I spent some time gardening on 2017/06/15.\n25135,2017/06/15,I did running on 2017/06/15.,I did running on 2017/06/15.\n25136,2017/06/15,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n25137,2017/06/15,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n25138,2017/06/15,\"I had sandwich for dinner with Avery, Jackson\",\"I had sandwich for dinner with Avery, Jackson\"\n25139,2017/06/15,\"I spent 36 talking to Nevaeh, Claire on various topics during lunch hours.\",\"I spent 36 talking to Nevaeh, Claire on various topics during lunch hours.\"\n25140,2017/06/15,\"I spent 11 talking to Nevaeh, Rylee on various topics in the late afternoon.\",\"I spent 11 talking to Nevaeh, Rylee on various topics in the late afternoon.\"\n25141,2017/06/15,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n25142,2017/06/15,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n25143,2017/06/16,\"I went grocery shopping with Avery, Benjamin, Jackson. I bought some mangos, mandarins, tea, milk, and facial wash, toilet paper, toothpaste, mouthwash\",\"I went grocery shopping with Avery, Benjamin, Jackson. I bought some mangos, mandarins, tea, milk, and facial wash, toilet paper, toothpaste, mouthwash\"\n25144,2017/06/16,I did running on 2017/06/16.,I did running on 2017/06/16.\n25145,2017/06/16,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n25146,2017/06/16,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n25147,2017/06/16,I ate pasta for dinner.,I ate pasta for dinner.\n25148,2017/06/16,\"I spent 44 talking to Rylee, Piper on various topics late in the evening.\",\"I spent 44 talking to Rylee, Piper on various topics late in the evening.\"\n25149,2017/06/16,\"I talked to Olivia, Eva, Layla, Kinsley for 55 minutes in the late afternoon.\",\"I talked to Olivia, Eva, Layla, Kinsley for 55 minutes in the late afternoon.\"\n25150,2017/06/16,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n25151,2017/06/16,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n25152,2017/06/17,I did running on 2017/06/17.,I did running on 2017/06/17.\n25153,2017/06/17,\"I had oatmeal for breakfast with Jackson, Willow, Benjamin\",\"I had oatmeal for breakfast with Jackson, Willow, Benjamin\"\n25154,2017/06/17,I had a burger for lunch with Andrew,I had a burger for lunch with Andrew\n25155,2017/06/17,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n25156,2017/06/17,\"I talked to Claire, Avery, Kinsley for 40 minutes in the morning.\",\"I talked to Claire, Avery, Kinsley for 40 minutes in the morning.\"\n25157,2017/06/17,\"I talked to Lydia, Avery, Piper for 5 minutes during lunch hours.\",\"I talked to Lydia, Avery, Piper for 5 minutes during lunch hours.\"\n25158,2017/06/17,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n25159,2017/06/17,I spent 29 minutes watching a movie on TV today.,I spent 29 minutes watching a movie on TV today.\n25160,2017/06/18,I did HIIT on 2017/06/18.,I did HIIT on 2017/06/18.\n25161,2017/06/18,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n25162,2017/06/18,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n25163,2017/06/18,I prepare pasta for dinner.,I prepare pasta for dinner.\n25164,2017/06/18,\"I spent 6 talking to Rylee, Avery, Kinsley on various topics in the late afternoon.\",\"I spent 6 talking to Rylee, Avery, Kinsley on various topics in the late afternoon.\"\n25165,2017/06/18,I spent 51 talking to Kinsley on various topics in the late afternoon.,I spent 51 talking to Kinsley on various topics in the late afternoon.\n25166,2017/06/18,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n25167,2017/06/18,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n25168,2017/06/19,I spent some time yoga on 2017/06/19.,I spent some time yoga on 2017/06/19.\n25169,2017/06/19,I did biking on 2017/06/19.,I did biking on 2017/06/19.\n25170,2017/06/19,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n25171,2017/06/19,\"I had indian food for lunch with Carter, Andrew, Emily\",\"I had indian food for lunch with Carter, Andrew, Emily\"\n25172,2017/06/19,I ate tacos for dinner.,I ate tacos for dinner.\n25173,2017/06/19,\"I talked to Lydia, Piper, Olivia, Kinsley for 9 minutes late in the evening.\",\"I talked to Lydia, Piper, Olivia, Kinsley for 9 minutes late in the evening.\"\n25174,2017/06/19,\"I talked to Rylee, Nora, Nevaeh for 40 minutes in the late afternoon.\",\"I talked to Rylee, Nora, Nevaeh for 40 minutes in the late afternoon.\"\n25175,2017/06/19,\"I talked to Claire, Olivia, Eva for 46 minutes late in the evening.\",\"I talked to Claire, Olivia, Eva for 46 minutes late in the evening.\"\n25176,2017/06/19,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n25177,2017/06/19,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n25178,2017/06/20,\"I entertained Jackson, Willow, Avery at my place on 2017/06/20 and cook au gratin peas and potatoes\",\"I entertained Jackson, Willow, Avery at my place on 2017/06/20 and cook au gratin peas and potatoes\"\n25179,2017/06/20,I did biking on 2017/06/20.,I did biking on 2017/06/20.\n25180,2017/06/20,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n25181,2017/06/20,\"I had lunch with Olivia, Eva, Nevaeh, Claire, Avery. I ate sandwich.\",\"I had lunch with Olivia, Eva, Nevaeh, Claire, Avery. I ate sandwich.\"\n25182,2017/06/20,\"I had dinner with Andrew, Emily, Carter. I ate sandwich.\",\"I had dinner with Andrew, Emily, Carter. I ate sandwich.\"\n25183,2017/06/20,\"I spent 48 talking to Lydia, Avery, Kinsley on various topics in the early evening.\",\"I spent 48 talking to Lydia, Avery, Kinsley on various topics in the early evening.\"\n25184,2017/06/20,\"I talked to Eva, Piper, Olivia for 14 minutes late in the evening.\",\"I talked to Eva, Piper, Olivia for 14 minutes late in the evening.\"\n25185,2017/06/20,\"I spent 38 talking to Hazel, Avery on various topics late in the evening.\",\"I spent 38 talking to Hazel, Avery on various topics late in the evening.\"\n25186,2017/06/20,I talked to Nevaeh for 36 minutes during lunch hours.,I talked to Nevaeh for 36 minutes during lunch hours.\n25187,2017/06/20,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n25188,2017/06/20,I spent 24 minutes watching news on TV today.,I spent 24 minutes watching news on TV today.\n25189,2017/06/21,I did biking on 2017/06/21.,I did biking on 2017/06/21.\n25190,2017/06/21,\"I had cereals for breakfast with Piper, Nora, Eva, Layla, Claire, Hazel, Piper, Avery, Olivia, Lydia\",\"I had cereals for breakfast with Piper, Nora, Eva, Layla, Claire, Hazel, Piper, Avery, Olivia, Lydia\"\n25191,2017/06/21,I had lunch with Emily. I ate indian food.,I had lunch with Emily. I ate indian food.\n25192,2017/06/21,I had dinner. I ate steak.,I had dinner. I ate steak.\n25193,2017/06/21,\"I talked to Layla, Claire, Olivia, Eva for 6 minutes during lunch hours.\",\"I talked to Layla, Claire, Olivia, Eva for 6 minutes during lunch hours.\"\n25194,2017/06/21,I talked to Hazel for 41 minutes in the late afternoon.,I talked to Hazel for 41 minutes in the late afternoon.\n25195,2017/06/21,\"I talked to Rylee, Piper for 22 minutes late in the evening.\",\"I talked to Rylee, Piper for 22 minutes late in the evening.\"\n25196,2017/06/21,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n25197,2017/06/21,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n25198,2017/06/22,\"I was baking carrot cake, cream-filled bundt cake on 2017/06/22 with Kayden, Emily, Carter, Andrew at my place\",\"I was baking carrot cake, cream-filled bundt cake on 2017/06/22 with Kayden, Emily, Carter, Andrew at my place\"\n25199,2017/06/22,I did biking on 2017/06/22.,I did biking on 2017/06/22.\n25200,2017/06/22,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n25201,2017/06/22,\"I had lunch with Nevaeh, Lydia, Avery, Claire, Piper, Olivia, Hazel. I ate fish and chips.\",\"I had lunch with Nevaeh, Lydia, Avery, Claire, Piper, Olivia, Hazel. I ate fish and chips.\"\n25202,2017/06/22,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n25203,2017/06/22,\"I spent 22 talking to Rylee, Eva, Nora on various topics in the morning.\",\"I spent 22 talking to Rylee, Eva, Nora on various topics in the morning.\"\n25204,2017/06/22,\"I talked to Hazel, Nevaeh, Nora, Avery for 21 minutes in the late afternoon.\",\"I talked to Hazel, Nevaeh, Nora, Avery for 21 minutes in the late afternoon.\"\n25205,2017/06/22,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n25206,2017/06/22,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n25207,2017/06/23,\"I had breakfast with Eva, Lydia, Piper, Avery, Claire, Nevaeh, Layla, Olivia, Kinsley, Hazel, Piper. I ate oatmeal.\",\"I had breakfast with Eva, Lydia, Piper, Avery, Claire, Nevaeh, Layla, Olivia, Kinsley, Hazel, Piper. I ate oatmeal.\"\n25208,2017/06/23,I ate pasta for lunch.,I ate pasta for lunch.\n25209,2017/06/23,\"I had dinner with Emily, Carter, Kayden, Andrew. I ate sandwich.\",\"I had dinner with Emily, Carter, Kayden, Andrew. I ate sandwich.\"\n25210,2017/06/23,\"I spent 53 talking to Rylee, Piper on various topics during lunch hours.\",\"I spent 53 talking to Rylee, Piper on various topics during lunch hours.\"\n25211,2017/06/23,\"I talked to Layla, Nevaeh, Kinsley, Claire for 5 minutes during lunch hours.\",\"I talked to Layla, Nevaeh, Kinsley, Claire for 5 minutes during lunch hours.\"\n25212,2017/06/23,\"I talked to Piper, Nevaeh for 38 minutes in the late afternoon.\",\"I talked to Piper, Nevaeh for 38 minutes in the late afternoon.\"\n25213,2017/06/23,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n25214,2017/06/23,I spent 24 minutes watching news on TV today.,I spent 24 minutes watching news on TV today.\n25215,2017/06/24,I did swimming on 2017/06/24.,I did swimming on 2017/06/24.\n25216,2017/06/24,\"I had breakfast with Emily, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew. I ate peanut-butter-jam.\"\n25217,2017/06/24,I had tacos for lunch with Kayden,I had tacos for lunch with Kayden\n25218,2017/06/24,\"I had steak for dinner with Andrew, Emily\",\"I had steak for dinner with Andrew, Emily\"\n25219,2017/06/24,\"I talked to Rylee, Hazel, Claire, Piper for 39 minutes in the late afternoon.\",\"I talked to Rylee, Hazel, Claire, Piper for 39 minutes in the late afternoon.\"\n25220,2017/06/24,\"I talked to Olivia, Lydia, Layla, Claire for 15 minutes in the early afternoon.\",\"I talked to Olivia, Lydia, Layla, Claire for 15 minutes in the early afternoon.\"\n25221,2017/06/24,\"I spent 21 talking to Piper, Kinsley, Nevaeh on various topics in the morning.\",\"I spent 21 talking to Piper, Kinsley, Nevaeh on various topics in the morning.\"\n25222,2017/06/24,I talked to Claire for 30 minutes in the early afternoon.,I talked to Claire for 30 minutes in the early afternoon.\n25223,2017/06/24,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n25224,2017/06/24,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n25225,2017/06/25,I really enjoyed working out on 2017/06/25,I really enjoyed working out on 2017/06/25\n25226,2017/06/25,I did biking on 2017/06/25.,I did biking on 2017/06/25.\n25227,2017/06/25,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n25228,2017/06/25,\"I had indian food for lunch with Layla, Eva, Piper, Rylee\",\"I had indian food for lunch with Layla, Eva, Piper, Rylee\"\n25229,2017/06/25,I ate sandwich for dinner.,I ate sandwich for dinner.\n25230,2017/06/25,\"I talked to Kinsley, Piper, Rylee, Eva for 29 minutes in the late afternoon.\",\"I talked to Kinsley, Piper, Rylee, Eva for 29 minutes in the late afternoon.\"\n25231,2017/06/25,\"I talked to Rylee, Olivia, Piper, Nevaeh for 18 minutes in the late afternoon.\",\"I talked to Rylee, Olivia, Piper, Nevaeh for 18 minutes in the late afternoon.\"\n25232,2017/06/25,I spent 31 talking to Nora on various topics in the early evening.,I spent 31 talking to Nora on various topics in the early evening.\n25233,2017/06/25,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n25234,2017/06/25,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n25235,2017/06/26,I was cooking cube steak and gravy on 2017/06/26 with Hazel at my place,I was cooking cube steak and gravy on 2017/06/26 with Hazel at my place\n25236,2017/06/26,\"I bought some pears, tea, guava juice, chocolate milk, mango juice, conditioner, toilet paper, mouth wash, mouthwash from the grocery store. I saw Piper, Nevaeh at the grocery store.\",\"I bought some pears, tea, guava juice, chocolate milk, mango juice, conditioner, toilet paper, mouth wash, mouthwash from the grocery store. I saw Piper, Nevaeh at the grocery store.\"\n25237,2017/06/26,I did hiking on 2017/06/26.,I did hiking on 2017/06/26.\n25238,2017/06/26,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n25239,2017/06/26,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n25240,2017/06/26,I ate chinese food for dinner.,I ate chinese food for dinner.\n25241,2017/06/26,\"I talked to Avery, Hazel, Piper, Kinsley for 18 minutes in the early evening.\",\"I talked to Avery, Hazel, Piper, Kinsley for 18 minutes in the early evening.\"\n25242,2017/06/26,\"I talked to Eva, Avery, Kinsley for 16 minutes in the late afternoon.\",\"I talked to Eva, Avery, Kinsley for 16 minutes in the late afternoon.\"\n25243,2017/06/26,I spent 10 talking to Layla on various topics late in the evening.,I spent 10 talking to Layla on various topics late in the evening.\n25244,2017/06/26,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n25245,2017/06/26,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n25246,2017/06/27,\"On 2017/06/27, I took Maya on a date to a restaurant\",\"On 2017/06/27, I took Maya on a date to a restaurant\"\n25247,2017/06/27,I did weight lifting on 2017/06/27.,I did weight lifting on 2017/06/27.\n25248,2017/06/27,\"I had toast and cheese for breakfast with Nora, Avery, Layla, Piper, Kinsley, Olivia, Hazel\",\"I had toast and cheese for breakfast with Nora, Avery, Layla, Piper, Kinsley, Olivia, Hazel\"\n25249,2017/06/27,\"I had lunch with Avery, Hazel, Nevaeh, Piper, Claire, Olivia, Nora, Eva, Kinsley, Lydia, Rylee. I ate a burger.\",\"I had lunch with Avery, Hazel, Nevaeh, Piper, Claire, Olivia, Nora, Eva, Kinsley, Lydia, Rylee. I ate a burger.\"\n25250,2017/06/27,I ate sandwich for dinner.,I ate sandwich for dinner.\n25251,2017/06/27,\"I spent 52 talking to Nevaeh, Lydia, Rylee on various topics in the early evening.\",\"I spent 52 talking to Nevaeh, Lydia, Rylee on various topics in the early evening.\"\n25252,2017/06/27,\"I spent 24 talking to Avery, Claire on various topics during lunch hours.\",\"I spent 24 talking to Avery, Claire on various topics during lunch hours.\"\n25253,2017/06/27,I talked to Avery for 33 minutes during lunch hours.,I talked to Avery for 33 minutes during lunch hours.\n25254,2017/06/27,I talked to Kinsley for 42 minutes in the early evening.,I talked to Kinsley for 42 minutes in the early evening.\n25255,2017/06/27,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n25256,2017/06/27,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n25257,2017/06/28,I did HIIT on 2017/06/28.,I did HIIT on 2017/06/28.\n25258,2017/06/28,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n25259,2017/06/28,I ate pasta for lunch.,I ate pasta for lunch.\n25260,2017/06/28,I ate sushi for dinner.,I ate sushi for dinner.\n25261,2017/06/28,I spent 51 talking to Nora on various topics late in the evening.,I spent 51 talking to Nora on various topics late in the evening.\n25262,2017/06/28,\"I spent 14 talking to Eva, Piper, Claire on various topics in the early evening.\",\"I spent 14 talking to Eva, Piper, Claire on various topics in the early evening.\"\n25263,2017/06/28,\"I talked to Layla, Piper, Avery for 45 minutes in the early evening.\",\"I talked to Layla, Piper, Avery for 45 minutes in the early evening.\"\n25264,2017/06/28,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n25265,2017/06/28,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n25266,2017/06/29,I did hiking on 2017/06/29.,I did hiking on 2017/06/29.\n25267,2017/06/29,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n25268,2017/06/29,I had fish and chips for lunch with Benjamin,I had fish and chips for lunch with Benjamin\n25269,2017/06/29,\"I had dinner with Andrew, Carter. I ate tacos.\",\"I had dinner with Andrew, Carter. I ate tacos.\"\n25270,2017/06/29,\"I spent 11 talking to Kinsley, Piper, Lydia, Eva on various topics in the early afternoon.\",\"I spent 11 talking to Kinsley, Piper, Lydia, Eva on various topics in the early afternoon.\"\n25271,2017/06/29,\"I spent 45 talking to Layla, Eva, Claire, Piper on various topics late in the evening.\",\"I spent 45 talking to Layla, Eva, Claire, Piper on various topics late in the evening.\"\n25272,2017/06/29,I talked to Nora for 35 minutes in the early afternoon.,I talked to Nora for 35 minutes in the early afternoon.\n25273,2017/06/29,\"I spent 7 talking to Nora, Lydia on various topics in the early evening.\",\"I spent 7 talking to Nora, Lydia on various topics in the early evening.\"\n25274,2017/06/29,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n25275,2017/06/29,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n25276,2017/06/30,I went on a date with Austin on 2017/06/30 at a boba shop,I went on a date with Austin on 2017/06/30 at a boba shop\n25277,2017/06/30,\"I went grocery shopping with Andrew, Kayden, Emily. I bought some pineapples, tea, apple juice, pineapple juice, and shampoo, mouth wash\",\"I went grocery shopping with Andrew, Kayden, Emily. I bought some pineapples, tea, apple juice, pineapple juice, and shampoo, mouth wash\"\n25278,2017/06/30,I did running on 2017/06/30.,I did running on 2017/06/30.\n25279,2017/06/30,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n25280,2017/06/30,\"I had fish and chips for lunch with Piper, Nora, Rylee, Lydia\",\"I had fish and chips for lunch with Piper, Nora, Rylee, Lydia\"\n25281,2017/06/30,\"I had sushi for dinner with Willow, Jackson\",\"I had sushi for dinner with Willow, Jackson\"\n25282,2017/06/30,\"I spent 30 talking to Lydia, Eva on various topics in the early evening.\",\"I spent 30 talking to Lydia, Eva on various topics in the early evening.\"\n25283,2017/06/30,\"I talked to Piper, Olivia, Piper for 10 minutes in the morning.\",\"I talked to Piper, Olivia, Piper for 10 minutes in the morning.\"\n25284,2017/06/30,\"I talked to Nora, Claire, Kinsley, Olivia for 26 minutes in the morning.\",\"I talked to Nora, Claire, Kinsley, Olivia for 26 minutes in the morning.\"\n25285,2017/06/30,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n25286,2017/06/30,I spent 39 minutes watching a tv series on TV today.,I spent 39 minutes watching a tv series on TV today.\n25287,2017/07/01,I did running on 2017/07/01.,I did running on 2017/07/01.\n25288,2017/07/01,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n25289,2017/07/01,I prepare steak for lunch.,I prepare steak for lunch.\n25290,2017/07/01,I ate a burger for dinner.,I ate a burger for dinner.\n25291,2017/07/01,\"I spent 33 talking to Rylee, Lydia, Kinsley on various topics in the early evening.\",\"I spent 33 talking to Rylee, Lydia, Kinsley on various topics in the early evening.\"\n25292,2017/07/01,\"I talked to Lydia, Hazel for 51 minutes during lunch hours.\",\"I talked to Lydia, Hazel for 51 minutes during lunch hours.\"\n25293,2017/07/01,\"I spent 20 talking to Nevaeh, Eva, Claire, Hazel on various topics in the morning.\",\"I spent 20 talking to Nevaeh, Eva, Claire, Hazel on various topics in the morning.\"\n25294,2017/07/01,I spent 22 talking to Piper on various topics during lunch hours.,I spent 22 talking to Piper on various topics during lunch hours.\n25295,2017/07/01,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n25296,2017/07/01,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n25297,2017/07/02,I did weight lifting on 2017/07/02.,I did weight lifting on 2017/07/02.\n25298,2017/07/02,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n25299,2017/07/02,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n25300,2017/07/02,I prepare tacos for dinner.,I prepare tacos for dinner.\n25301,2017/07/02,I talked to Avery for 55 minutes in the late afternoon.,I talked to Avery for 55 minutes in the late afternoon.\n25302,2017/07/02,\"I spent 19 talking to Nevaeh, Lydia, Hazel, Nora on various topics in the early afternoon.\",\"I spent 19 talking to Nevaeh, Lydia, Hazel, Nora on various topics in the early afternoon.\"\n25303,2017/07/02,\"I spent 52 talking to Rylee, Olivia on various topics in the morning.\",\"I spent 52 talking to Rylee, Olivia on various topics in the morning.\"\n25304,2017/07/02,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n25305,2017/07/02,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n25306,2017/07/03,\"I bought some clementines, coffee, toothpaste online.\",\"I bought some clementines, coffee, toothpaste online.\"\n25307,2017/07/03,I did running on 2017/07/03.,I did running on 2017/07/03.\n25308,2017/07/03,\"I had breakfast with Avery, Hazel, Olivia, Claire, Nevaeh, Piper, Kinsley, Layla. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Hazel, Olivia, Claire, Nevaeh, Piper, Kinsley, Layla. I ate eggs, sausages, and bread.\"\n25309,2017/07/03,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n25310,2017/07/03,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n25311,2017/07/03,\"I talked to Eva, Lydia, Claire, Rylee for 29 minutes in the early afternoon.\",\"I talked to Eva, Lydia, Claire, Rylee for 29 minutes in the early afternoon.\"\n25312,2017/07/03,\"I spent 48 talking to Avery, Olivia, Kinsley on various topics in the morning.\",\"I spent 48 talking to Avery, Olivia, Kinsley on various topics in the morning.\"\n25313,2017/07/03,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n25314,2017/07/03,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n25315,2017/07/04,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n25316,2017/07/04,I prepare sushi for lunch.,I prepare sushi for lunch.\n25317,2017/07/04,I ate sushi for dinner.,I ate sushi for dinner.\n25318,2017/07/04,\"I spent 15 talking to Hazel, Olivia, Piper, Nevaeh on various topics during lunch hours.\",\"I spent 15 talking to Hazel, Olivia, Piper, Nevaeh on various topics during lunch hours.\"\n25319,2017/07/04,\"I talked to Layla, Olivia, Hazel for 28 minutes in the late afternoon.\",\"I talked to Layla, Olivia, Hazel for 28 minutes in the late afternoon.\"\n25320,2017/07/04,\"I talked to Lydia, Hazel, Piper for 50 minutes during lunch hours.\",\"I talked to Lydia, Hazel, Piper for 50 minutes during lunch hours.\"\n25321,2017/07/04,I spent 29 talking to Hazel on various topics in the morning.,I spent 29 talking to Hazel on various topics in the morning.\n25322,2017/07/04,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n25323,2017/07/04,I spent 29 minutes watching a documentary on TV today.,I spent 29 minutes watching a documentary on TV today.\n25324,2017/07/05,I really enjoyed learning a language on 2017/07/05,I really enjoyed learning a language on 2017/07/05\n25325,2017/07/05,I did hiking on 2017/07/05.,I did hiking on 2017/07/05.\n25326,2017/07/05,\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate oatmeal.\",\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate oatmeal.\"\n25327,2017/07/05,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n25328,2017/07/05,I had sandwich for dinner with Andrew,I had sandwich for dinner with Andrew\n25329,2017/07/05,I talked to Piper for 34 minutes late in the evening.,I talked to Piper for 34 minutes late in the evening.\n25330,2017/07/05,\"I spent 25 talking to Claire, Eva, Kinsley on various topics in the late afternoon.\",\"I spent 25 talking to Claire, Eva, Kinsley on various topics in the late afternoon.\"\n25331,2017/07/05,I talked to Kinsley for 19 minutes in the early evening.,I talked to Kinsley for 19 minutes in the early evening.\n25332,2017/07/05,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n25333,2017/07/05,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n25334,2017/07/06,I did running on 2017/07/06.,I did running on 2017/07/06.\n25335,2017/07/06,\"I had oatmeal for breakfast with Avery, Benjamin, Willow\",\"I had oatmeal for breakfast with Avery, Benjamin, Willow\"\n25336,2017/07/06,I ate steak for lunch.,I ate steak for lunch.\n25337,2017/07/06,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n25338,2017/07/06,\"I spent 21 talking to Nevaeh, Rylee, Eva, Avery on various topics in the early afternoon.\",\"I spent 21 talking to Nevaeh, Rylee, Eva, Avery on various topics in the early afternoon.\"\n25339,2017/07/06,\"I talked to Olivia, Lydia for 43 minutes during lunch hours.\",\"I talked to Olivia, Lydia for 43 minutes during lunch hours.\"\n25340,2017/07/06,\"I talked to Nora, Layla, Rylee, Kinsley for 45 minutes in the early afternoon.\",\"I talked to Nora, Layla, Rylee, Kinsley for 45 minutes in the early afternoon.\"\n25341,2017/07/06,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n25342,2017/07/06,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n25343,2017/07/07,\"I really enjoyed cooking chinese chicken wings, chinese broccoli with oyster sauce on 2017/07/07 with Piper at my place\",\"I really enjoyed cooking chinese chicken wings, chinese broccoli with oyster sauce on 2017/07/07 with Piper at my place\"\n25344,2017/07/07,I went on a date with Alexander on 2017/07/07 at a coffee Shop,I went on a date with Alexander on 2017/07/07 at a coffee Shop\n25345,2017/07/07,\"I bought some nectarines, clementines, bananas, mandarins, orange juice, sports drinks, coffee, mango juice, mouthwash, toilet paper, mouth wash, paper towel online.\",\"I bought some nectarines, clementines, bananas, mandarins, orange juice, sports drinks, coffee, mango juice, mouthwash, toilet paper, mouth wash, paper towel online.\"\n25346,2017/07/07,I did running on 2017/07/07.,I did running on 2017/07/07.\n25347,2017/07/07,\"I had toast and cheese for breakfast with Kinsley, Hazel, Nevaeh\",\"I had toast and cheese for breakfast with Kinsley, Hazel, Nevaeh\"\n25348,2017/07/07,I ate a burger for lunch.,I ate a burger for lunch.\n25349,2017/07/07,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n25350,2017/07/07,I talked to Eva for 27 minutes during lunch hours.,I talked to Eva for 27 minutes during lunch hours.\n25351,2017/07/07,\"I spent 10 talking to Avery, Nevaeh, Piper, Layla on various topics in the early evening.\",\"I spent 10 talking to Avery, Nevaeh, Piper, Layla on various topics in the early evening.\"\n25352,2017/07/07,\"I talked to Rylee, Nora, Piper for 19 minutes in the morning.\",\"I talked to Rylee, Nora, Piper for 19 minutes in the morning.\"\n25353,2017/07/07,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n25354,2017/07/07,I spent 20 minutes watching a movie on TV today.,I spent 20 minutes watching a movie on TV today.\n25355,2017/07/08,I did biking on 2017/07/08.,I did biking on 2017/07/08.\n25356,2017/07/08,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n25357,2017/07/08,\"I had lunch with Benjamin, Avery. I ate indian food.\",\"I had lunch with Benjamin, Avery. I ate indian food.\"\n25358,2017/07/08,\"I had chinese food for dinner with Kinsley, Olivia, Claire\",\"I had chinese food for dinner with Kinsley, Olivia, Claire\"\n25359,2017/07/08,\"I spent 43 talking to Lydia, Piper, Claire, Hazel on various topics in the early evening.\",\"I spent 43 talking to Lydia, Piper, Claire, Hazel on various topics in the early evening.\"\n25360,2017/07/08,\"I spent 52 talking to Eva, Layla on various topics in the late afternoon.\",\"I spent 52 talking to Eva, Layla on various topics in the late afternoon.\"\n25361,2017/07/08,I spent 47 talking to Claire on various topics in the morning.,I spent 47 talking to Claire on various topics in the morning.\n25362,2017/07/08,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n25363,2017/07/08,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n25364,2017/07/09,I went on a date with Nicholas on 2017/07/09 at a boba shop,I went on a date with Nicholas on 2017/07/09 at a boba shop\n25365,2017/07/09,I did HIIT on 2017/07/09.,I did HIIT on 2017/07/09.\n25366,2017/07/09,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n25367,2017/07/09,I prepare steak for lunch.,I prepare steak for lunch.\n25368,2017/07/09,\"I had indian food for dinner with Emily, Carter, Andrew\",\"I had indian food for dinner with Emily, Carter, Andrew\"\n25369,2017/07/09,\"I talked to Piper, Layla, Hazel for 8 minutes during lunch hours.\",\"I talked to Piper, Layla, Hazel for 8 minutes during lunch hours.\"\n25370,2017/07/09,\"I spent 46 talking to Eva, Rylee, Kinsley, Nora on various topics in the late afternoon.\",\"I spent 46 talking to Eva, Rylee, Kinsley, Nora on various topics in the late afternoon.\"\n25371,2017/07/09,\"I talked to Nora, Layla, Piper, Piper for 37 minutes in the early afternoon.\",\"I talked to Nora, Layla, Piper, Piper for 37 minutes in the early afternoon.\"\n25372,2017/07/09,I spent 47 talking to Eva on various topics in the morning.,I spent 47 talking to Eva on various topics in the morning.\n25373,2017/07/09,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n25374,2017/07/09,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n25375,2017/07/10,I did swimming on 2017/07/10.,I did swimming on 2017/07/10.\n25376,2017/07/10,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n25377,2017/07/10,\"I had sandwich for lunch with Willow, Benjamin, Avery, Jackson\",\"I had sandwich for lunch with Willow, Benjamin, Avery, Jackson\"\n25378,2017/07/10,\"I had dinner with Emily, Andrew, Kayden, Carter. I ate chinese food.\",\"I had dinner with Emily, Andrew, Kayden, Carter. I ate chinese food.\"\n25379,2017/07/10,I spent 22 talking to Olivia on various topics in the morning.,I spent 22 talking to Olivia on various topics in the morning.\n25380,2017/07/10,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n25381,2017/07/10,I spent 47 minutes watching a movie on TV today.,I spent 47 minutes watching a movie on TV today.\n25382,2017/07/11,I did weight lifting on 2017/07/11.,I did weight lifting on 2017/07/11.\n25383,2017/07/11,\"I had breakfast with Kayden, Carter, Andrew, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Carter, Andrew, Emily. I ate eggs, sausages, and bread.\"\n25384,2017/07/11,I had lunch with Emily. I ate chinese food.,I had lunch with Emily. I ate chinese food.\n25385,2017/07/11,\"I had a burger for dinner with Andrew, Kayden, Carter\",\"I had a burger for dinner with Andrew, Kayden, Carter\"\n25386,2017/07/11,I spent 9 talking to Layla on various topics in the early evening.,I spent 9 talking to Layla on various topics in the early evening.\n25387,2017/07/11,I spent 40 talking to Nevaeh on various topics in the morning.,I spent 40 talking to Nevaeh on various topics in the morning.\n25388,2017/07/11,\"I spent 52 talking to Rylee, Avery on various topics late in the evening.\",\"I spent 52 talking to Rylee, Avery on various topics late in the evening.\"\n25389,2017/07/11,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n25390,2017/07/11,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n25391,2017/07/12,\"I had breakfast with Layla, Hazel, Rylee, Piper. I ate toast and cheese.\",\"I had breakfast with Layla, Hazel, Rylee, Piper. I ate toast and cheese.\"\n25392,2017/07/12,I ate a burger for lunch.,I ate a burger for lunch.\n25393,2017/07/12,\"I had pasta for dinner with Carter, Emily, Kayden, Andrew\",\"I had pasta for dinner with Carter, Emily, Kayden, Andrew\"\n25394,2017/07/12,\"I spent 35 talking to Piper, Rylee on various topics in the morning.\",\"I spent 35 talking to Piper, Rylee on various topics in the morning.\"\n25395,2017/07/12,\"I talked to Layla, Hazel, Kinsley for 35 minutes in the late afternoon.\",\"I talked to Layla, Hazel, Kinsley for 35 minutes in the late afternoon.\"\n25396,2017/07/12,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n25397,2017/07/12,I watched news for 29 minutes on TV today.,I watched news for 29 minutes on TV today.\n25398,2017/07/13,\"I was baking chrissy teigen’s 3-ingredient chocolate mousse on 2017/07/13 with Avery, Piper at my place\",\"I was baking chrissy teigen’s 3-ingredient chocolate mousse on 2017/07/13 with Avery, Piper at my place\"\n25399,2017/07/13,I did running on 2017/07/13.,I did running on 2017/07/13.\n25400,2017/07/13,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n25401,2017/07/13,I prepare a burger for lunch.,I prepare a burger for lunch.\n25402,2017/07/13,I had dinner with Carter. I ate tacos.,I had dinner with Carter. I ate tacos.\n25403,2017/07/13,I talked to Lydia for 40 minutes in the early afternoon.,I talked to Lydia for 40 minutes in the early afternoon.\n25404,2017/07/13,\"I spent 37 talking to Layla, Kinsley, Avery on various topics in the early evening.\",\"I spent 37 talking to Layla, Kinsley, Avery on various topics in the early evening.\"\n25405,2017/07/13,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n25406,2017/07/13,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n25407,2017/07/14,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n25408,2017/07/14,I ate steak for lunch.,I ate steak for lunch.\n25409,2017/07/14,\"I had dinner with Andrew, Emily, Carter, Kayden. I ate a burger.\",\"I had dinner with Andrew, Emily, Carter, Kayden. I ate a burger.\"\n25410,2017/07/14,\"I spent 32 talking to Eva, Claire, Nevaeh, Avery on various topics in the early afternoon.\",\"I spent 32 talking to Eva, Claire, Nevaeh, Avery on various topics in the early afternoon.\"\n25411,2017/07/14,\"I talked to Hazel, Nevaeh for 12 minutes late in the evening.\",\"I talked to Hazel, Nevaeh for 12 minutes late in the evening.\"\n25412,2017/07/14,\"I talked to Layla, Hazel for 9 minutes in the early evening.\",\"I talked to Layla, Hazel for 9 minutes in the early evening.\"\n25413,2017/07/14,\"I spent 26 talking to Lydia, Layla, Nevaeh, Olivia on various topics late in the evening.\",\"I spent 26 talking to Lydia, Layla, Nevaeh, Olivia on various topics late in the evening.\"\n25414,2017/07/14,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n25415,2017/07/14,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n25416,2017/07/15,\"I went grocery shopping. I bought some guava, apricots, blueberries, peaches, pineapple juice, and mouth wash, facial wash\",\"I went grocery shopping. I bought some guava, apricots, blueberries, peaches, pineapple juice, and mouth wash, facial wash\"\n25417,2017/07/15,I did swimming on 2017/07/15.,I did swimming on 2017/07/15.\n25418,2017/07/15,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n25419,2017/07/15,\"I had chinese food for lunch with Kinsley, Lydia, Claire, Nora, Piper, Rylee, Layla, Olivia, Piper, Nevaeh, Eva\",\"I had chinese food for lunch with Kinsley, Lydia, Claire, Nora, Piper, Rylee, Layla, Olivia, Piper, Nevaeh, Eva\"\n25420,2017/07/15,I ate tacos for dinner.,I ate tacos for dinner.\n25421,2017/07/15,\"I talked to Olivia, Piper for 51 minutes in the late afternoon.\",\"I talked to Olivia, Piper for 51 minutes in the late afternoon.\"\n25422,2017/07/15,\"I talked to Hazel, Piper, Claire, Kinsley for 35 minutes in the morning.\",\"I talked to Hazel, Piper, Claire, Kinsley for 35 minutes in the morning.\"\n25423,2017/07/15,\"I talked to Hazel, Piper, Olivia, Rylee for 34 minutes in the early afternoon.\",\"I talked to Hazel, Piper, Olivia, Rylee for 34 minutes in the early afternoon.\"\n25424,2017/07/15,\"I spent 25 talking to Olivia, Piper, Piper on various topics during lunch hours.\",\"I spent 25 talking to Olivia, Piper, Piper on various topics during lunch hours.\"\n25425,2017/07/15,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n25426,2017/07/15,I spent 30 minutes watching a tv series on TV today.,I spent 30 minutes watching a tv series on TV today.\n25427,2017/07/16,\"I bought some cherres, guava, chocolate milk, mango juice, paper towel, toothpaste online.\",\"I bought some cherres, guava, chocolate milk, mango juice, paper towel, toothpaste online.\"\n25428,2017/07/16,I did weight lifting on 2017/07/16.,I did weight lifting on 2017/07/16.\n25429,2017/07/16,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n25430,2017/07/16,\"I had lunch with Avery, Willow, Benjamin, Jackson. I ate fish and chips.\",\"I had lunch with Avery, Willow, Benjamin, Jackson. I ate fish and chips.\"\n25431,2017/07/16,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n25432,2017/07/16,\"I talked to Olivia, Piper, Layla, Rylee for 22 minutes in the late afternoon.\",\"I talked to Olivia, Piper, Layla, Rylee for 22 minutes in the late afternoon.\"\n25433,2017/07/16,\"I spent 53 talking to Olivia, Nevaeh, Avery on various topics during lunch hours.\",\"I spent 53 talking to Olivia, Nevaeh, Avery on various topics during lunch hours.\"\n25434,2017/07/16,\"I spent 18 talking to Avery, Nevaeh on various topics in the morning.\",\"I spent 18 talking to Avery, Nevaeh on various topics in the morning.\"\n25435,2017/07/16,\"I talked to Layla, Piper, Eva for 11 minutes in the late afternoon.\",\"I talked to Layla, Piper, Eva for 11 minutes in the late afternoon.\"\n25436,2017/07/16,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n25437,2017/07/16,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n25438,2017/07/17,I did HIIT on 2017/07/17.,I did HIIT on 2017/07/17.\n25439,2017/07/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n25440,2017/07/17,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n25441,2017/07/17,\"I had chinese food for dinner with Emily, Carter, Andrew, Kayden\",\"I had chinese food for dinner with Emily, Carter, Andrew, Kayden\"\n25442,2017/07/17,I spent 17 talking to Nevaeh on various topics late in the evening.,I spent 17 talking to Nevaeh on various topics late in the evening.\n25443,2017/07/17,\"I spent 24 talking to Kinsley, Piper on various topics in the late afternoon.\",\"I spent 24 talking to Kinsley, Piper on various topics in the late afternoon.\"\n25444,2017/07/17,\"I spent 17 talking to Rylee, Piper, Nevaeh, Layla on various topics late in the evening.\",\"I spent 17 talking to Rylee, Piper, Nevaeh, Layla on various topics late in the evening.\"\n25445,2017/07/17,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n25446,2017/07/17,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n25447,2017/07/18,I went on a date with Christian on 2017/07/18 at a coffee Shop,I went on a date with Christian on 2017/07/18 at a coffee Shop\n25448,2017/07/18,\"I spent time meditation on 2017/07/18 with Hazel, Piper, Eva.\",\"I spent time meditation on 2017/07/18 with Hazel, Piper, Eva.\"\n25449,2017/07/18,I did swimming on 2017/07/18.,I did swimming on 2017/07/18.\n25450,2017/07/18,\"I had breakfast with Rylee, Nora, Hazel, Piper, Kinsley, Nevaeh, Piper, Layla, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Rylee, Nora, Hazel, Piper, Kinsley, Nevaeh, Piper, Layla, Avery. I ate peanut-butter-jam.\"\n25451,2017/07/18,I prepare steak for lunch.,I prepare steak for lunch.\n25452,2017/07/18,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n25453,2017/07/18,\"I talked to Kinsley, Lydia for 30 minutes in the late afternoon.\",\"I talked to Kinsley, Lydia for 30 minutes in the late afternoon.\"\n25454,2017/07/18,\"I talked to Piper, Eva for 27 minutes in the early evening.\",\"I talked to Piper, Eva for 27 minutes in the early evening.\"\n25455,2017/07/18,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n25456,2017/07/18,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n25457,2017/07/19,\"I bought some strawberries, cherres, nectarines, guava, apple juice, facial wash online.\",\"I bought some strawberries, cherres, nectarines, guava, apple juice, facial wash online.\"\n25458,2017/07/19,I did running on 2017/07/19.,I did running on 2017/07/19.\n25459,2017/07/19,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n25460,2017/07/19,I prepare steak for lunch.,I prepare steak for lunch.\n25461,2017/07/19,I ate steak for dinner.,I ate steak for dinner.\n25462,2017/07/19,\"I spent 42 talking to Piper, Olivia, Piper, Claire on various topics late in the evening.\",\"I spent 42 talking to Piper, Olivia, Piper, Claire on various topics late in the evening.\"\n25463,2017/07/19,I spent 51 talking to Eva on various topics during lunch hours.,I spent 51 talking to Eva on various topics during lunch hours.\n25464,2017/07/19,\"I talked to Hazel, Lydia, Kinsley for 27 minutes in the late afternoon.\",\"I talked to Hazel, Lydia, Kinsley for 27 minutes in the late afternoon.\"\n25465,2017/07/19,I spent 50 minutes on a book today.,I spent 50 minutes on a book today.\n25466,2017/07/19,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n25467,2017/07/20,I did weight lifting on 2017/07/20.,I did weight lifting on 2017/07/20.\n25468,2017/07/20,I had breakfast with Kayden. I ate peanut-butter-jam.,I had breakfast with Kayden. I ate peanut-butter-jam.\n25469,2017/07/20,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n25470,2017/07/20,I ate sandwich for dinner.,I ate sandwich for dinner.\n25471,2017/07/20,\"I spent 33 talking to Piper, Lydia, Eva, Olivia on various topics during lunch hours.\",\"I spent 33 talking to Piper, Lydia, Eva, Olivia on various topics during lunch hours.\"\n25472,2017/07/20,\"I spent 37 talking to Avery, Kinsley, Rylee, Lydia on various topics in the late afternoon.\",\"I spent 37 talking to Avery, Kinsley, Rylee, Lydia on various topics in the late afternoon.\"\n25473,2017/07/20,\"I spent 51 talking to Claire, Rylee, Eva, Nora on various topics during lunch hours.\",\"I spent 51 talking to Claire, Rylee, Eva, Nora on various topics during lunch hours.\"\n25474,2017/07/20,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n25475,2017/07/20,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n25476,2017/07/21,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n25477,2017/07/21,I prepare steak for lunch.,I prepare steak for lunch.\n25478,2017/07/21,\"I had dinner with Avery, Benjamin, Willow. I ate sandwich.\",\"I had dinner with Avery, Benjamin, Willow. I ate sandwich.\"\n25479,2017/07/21,I talked to Eva for 25 minutes during lunch hours.,I talked to Eva for 25 minutes during lunch hours.\n25480,2017/07/21,\"I spent 19 talking to Avery, Rylee, Olivia on various topics in the early evening.\",\"I spent 19 talking to Avery, Rylee, Olivia on various topics in the early evening.\"\n25481,2017/07/21,\"I spent 48 talking to Piper, Lydia on various topics in the morning.\",\"I spent 48 talking to Piper, Lydia on various topics in the morning.\"\n25482,2017/07/21,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n25483,2017/07/21,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n25484,2017/07/22,I did swimming on 2017/07/22.,I did swimming on 2017/07/22.\n25485,2017/07/22,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n25486,2017/07/22,\"I had tacos for lunch with Kayden, Carter, Andrew, Emily\",\"I had tacos for lunch with Kayden, Carter, Andrew, Emily\"\n25487,2017/07/22,\"I had dinner with Carter, Emily, Kayden. I ate indian food.\",\"I had dinner with Carter, Emily, Kayden. I ate indian food.\"\n25488,2017/07/22,\"I talked to Rylee, Eva, Nevaeh for 42 minutes late in the evening.\",\"I talked to Rylee, Eva, Nevaeh for 42 minutes late in the evening.\"\n25489,2017/07/22,\"I talked to Eva, Rylee, Olivia, Lydia for 21 minutes in the morning.\",\"I talked to Eva, Rylee, Olivia, Lydia for 21 minutes in the morning.\"\n25490,2017/07/22,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n25491,2017/07/22,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n25492,2017/07/23,I did biking on 2017/07/23.,I did biking on 2017/07/23.\n25493,2017/07/23,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n25494,2017/07/23,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n25495,2017/07/23,\"I had dinner with Emily, Andrew, Kayden, Carter. I ate chinese food.\",\"I had dinner with Emily, Andrew, Kayden, Carter. I ate chinese food.\"\n25496,2017/07/23,\"I spent 53 talking to Piper, Piper, Hazel on various topics late in the evening.\",\"I spent 53 talking to Piper, Piper, Hazel on various topics late in the evening.\"\n25497,2017/07/23,\"I talked to Lydia, Nevaeh, Piper, Piper for 49 minutes in the morning.\",\"I talked to Lydia, Nevaeh, Piper, Piper for 49 minutes in the morning.\"\n25498,2017/07/23,I talked to Piper for 42 minutes in the early evening.,I talked to Piper for 42 minutes in the early evening.\n25499,2017/07/23,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n25500,2017/07/23,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n25501,2017/07/24,\"I spent time meditation on 2017/07/24 with Rylee, Layla, Hazel.\",\"I spent time meditation on 2017/07/24 with Rylee, Layla, Hazel.\"\n25502,2017/07/24,I did biking on 2017/07/24.,I did biking on 2017/07/24.\n25503,2017/07/24,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n25504,2017/07/24,\"I had lunch with Hazel, Piper, Avery, Lydia, Olivia, Layla, Rylee, Eva, Piper, Nora, Kinsley, Claire, Nevaeh. I ate fish and chips.\",\"I had lunch with Hazel, Piper, Avery, Lydia, Olivia, Layla, Rylee, Eva, Piper, Nora, Kinsley, Claire, Nevaeh. I ate fish and chips.\"\n25505,2017/07/24,\"I had sushi for dinner with Kayden, Carter\",\"I had sushi for dinner with Kayden, Carter\"\n25506,2017/07/24,\"I spent 16 talking to Lydia, Piper on various topics in the morning.\",\"I spent 16 talking to Lydia, Piper on various topics in the morning.\"\n25507,2017/07/24,\"I talked to Lydia, Nora, Hazel for 41 minutes in the early evening.\",\"I talked to Lydia, Nora, Hazel for 41 minutes in the early evening.\"\n25508,2017/07/24,I spent 35 talking to Olivia on various topics in the late afternoon.,I spent 35 talking to Olivia on various topics in the late afternoon.\n25509,2017/07/24,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n25510,2017/07/24,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n25511,2017/07/25,I went on a date with Samuel on 2017/07/25 at a coffee Shop,I went on a date with Samuel on 2017/07/25 at a coffee Shop\n25512,2017/07/25,I did hiking on 2017/07/25.,I did hiking on 2017/07/25.\n25513,2017/07/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n25514,2017/07/25,I prepare indian food for lunch.,I prepare indian food for lunch.\n25515,2017/07/25,\"I had dinner with Andrew, Carter, Emily. I ate fish and chips.\",\"I had dinner with Andrew, Carter, Emily. I ate fish and chips.\"\n25516,2017/07/25,\"I talked to Kinsley, Layla, Hazel for 41 minutes in the early evening.\",\"I talked to Kinsley, Layla, Hazel for 41 minutes in the early evening.\"\n25517,2017/07/25,\"I spent 40 talking to Piper, Rylee on various topics in the early afternoon.\",\"I spent 40 talking to Piper, Rylee on various topics in the early afternoon.\"\n25518,2017/07/25,\"I talked to Claire, Rylee, Olivia, Nora for 20 minutes late in the evening.\",\"I talked to Claire, Rylee, Olivia, Nora for 20 minutes late in the evening.\"\n25519,2017/07/25,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n25520,2017/07/25,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n25521,2017/07/26,I did swimming on 2017/07/26.,I did swimming on 2017/07/26.\n25522,2017/07/26,\"I had breakfast with Avery, Eva, Nevaeh, Olivia, Kinsley. I ate pancakes.\",\"I had breakfast with Avery, Eva, Nevaeh, Olivia, Kinsley. I ate pancakes.\"\n25523,2017/07/26,\"I had fish and chips for lunch with Kayden, Andrew\",\"I had fish and chips for lunch with Kayden, Andrew\"\n25524,2017/07/26,\"I had indian food for dinner with Kayden, Andrew, Carter\",\"I had indian food for dinner with Kayden, Andrew, Carter\"\n25525,2017/07/26,\"I spent 7 talking to Kinsley, Nevaeh on various topics in the early afternoon.\",\"I spent 7 talking to Kinsley, Nevaeh on various topics in the early afternoon.\"\n25526,2017/07/26,\"I talked to Lydia, Hazel, Claire for 30 minutes during lunch hours.\",\"I talked to Lydia, Hazel, Claire for 30 minutes during lunch hours.\"\n25527,2017/07/26,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n25528,2017/07/26,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n25529,2017/07/27,I went on a date with Leah on 2017/07/27 at a coffee Shop,I went on a date with Leah on 2017/07/27 at a coffee Shop\n25530,2017/07/27,I did running on 2017/07/27.,I did running on 2017/07/27.\n25531,2017/07/27,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n25532,2017/07/27,I prepare a burger for lunch.,I prepare a burger for lunch.\n25533,2017/07/27,I ate pasta for dinner.,I ate pasta for dinner.\n25534,2017/07/27,I talked to Lydia for 21 minutes during lunch hours.,I talked to Lydia for 21 minutes during lunch hours.\n25535,2017/07/27,I talked to Layla for 42 minutes in the morning.,I talked to Layla for 42 minutes in the morning.\n25536,2017/07/27,I talked to Kinsley for 53 minutes in the early afternoon.,I talked to Kinsley for 53 minutes in the early afternoon.\n25537,2017/07/27,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n25538,2017/07/27,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n25539,2017/07/28,I spent some time gardening on 2017/07/28.,I spent some time gardening on 2017/07/28.\n25540,2017/07/28,\"I bought some nectarines, oranges, pineapples, tea, coffee, toothpaste, paper towel, body lotion from the grocery store. I saw Kinsley, Olivia, Hazel, Claire, Avery at the grocery store.\",\"I bought some nectarines, oranges, pineapples, tea, coffee, toothpaste, paper towel, body lotion from the grocery store. I saw Kinsley, Olivia, Hazel, Claire, Avery at the grocery store.\"\n25541,2017/07/28,I did weight lifting on 2017/07/28.,I did weight lifting on 2017/07/28.\n25542,2017/07/28,\"I had cereals for breakfast with Rylee, Nora, Hazel, Nevaeh\",\"I had cereals for breakfast with Rylee, Nora, Hazel, Nevaeh\"\n25543,2017/07/28,I prepare indian food for lunch.,I prepare indian food for lunch.\n25544,2017/07/28,I ate pasta for dinner.,I ate pasta for dinner.\n25545,2017/07/28,\"I talked to Claire, Hazel for 33 minutes in the early evening.\",\"I talked to Claire, Hazel for 33 minutes in the early evening.\"\n25546,2017/07/28,\"I talked to Kinsley, Claire, Piper for 25 minutes during lunch hours.\",\"I talked to Kinsley, Claire, Piper for 25 minutes during lunch hours.\"\n25547,2017/07/28,\"I talked to Kinsley, Claire for 48 minutes late in the evening.\",\"I talked to Kinsley, Claire for 48 minutes late in the evening.\"\n25548,2017/07/28,\"I spent 38 talking to Nevaeh, Piper, Avery on various topics in the early afternoon.\",\"I spent 38 talking to Nevaeh, Piper, Avery on various topics in the early afternoon.\"\n25549,2017/07/28,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n25550,2017/07/28,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n25551,2017/07/29,I did running on 2017/07/29.,I did running on 2017/07/29.\n25552,2017/07/29,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n25553,2017/07/29,I prepare indian food for lunch.,I prepare indian food for lunch.\n25554,2017/07/29,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n25555,2017/07/29,\"I talked to Eva, Kinsley for 15 minutes in the late afternoon.\",\"I talked to Eva, Kinsley for 15 minutes in the late afternoon.\"\n25556,2017/07/29,\"I talked to Piper, Olivia for 34 minutes in the late afternoon.\",\"I talked to Piper, Olivia for 34 minutes in the late afternoon.\"\n25557,2017/07/29,I talked to Piper for 16 minutes in the late afternoon.,I talked to Piper for 16 minutes in the late afternoon.\n25558,2017/07/29,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n25559,2017/07/29,I spent 8 minutes watching a movie on TV today.,I spent 8 minutes watching a movie on TV today.\n25560,2017/07/30,I really enjoyed gardening on 2017/07/30,I really enjoyed gardening on 2017/07/30\n25561,2017/07/30,I did running on 2017/07/30.,I did running on 2017/07/30.\n25562,2017/07/30,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n25563,2017/07/30,\"I had lunch with Emily, Kayden, Andrew. I ate steak.\",\"I had lunch with Emily, Kayden, Andrew. I ate steak.\"\n25564,2017/07/30,I prepare indian food for dinner.,I prepare indian food for dinner.\n25565,2017/07/30,\"I talked to Hazel, Kinsley, Avery, Lydia for 45 minutes in the morning.\",\"I talked to Hazel, Kinsley, Avery, Lydia for 45 minutes in the morning.\"\n25566,2017/07/30,I spent 28 talking to Eva on various topics late in the evening.,I spent 28 talking to Eva on various topics late in the evening.\n25567,2017/07/30,I spent 46 talking to Piper on various topics during lunch hours.,I spent 46 talking to Piper on various topics during lunch hours.\n25568,2017/07/30,\"I spent 13 talking to Olivia, Piper, Hazel, Avery on various topics during lunch hours.\",\"I spent 13 talking to Olivia, Piper, Hazel, Avery on various topics during lunch hours.\"\n25569,2017/07/30,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n25570,2017/07/30,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n25571,2017/07/31,I did biking on 2017/07/31.,I did biking on 2017/07/31.\n25572,2017/07/31,\"I had breakfast with Willow, Avery, Benjamin. I ate cereals.\",\"I had breakfast with Willow, Avery, Benjamin. I ate cereals.\"\n25573,2017/07/31,\"I had steak for lunch with Carter, Kayden\",\"I had steak for lunch with Carter, Kayden\"\n25574,2017/07/31,I prepare indian food for dinner.,I prepare indian food for dinner.\n25575,2017/07/31,\"I spent 17 talking to Nevaeh, Layla, Rylee, Piper on various topics during lunch hours.\",\"I spent 17 talking to Nevaeh, Layla, Rylee, Piper on various topics during lunch hours.\"\n25576,2017/07/31,\"I spent 41 talking to Lydia, Kinsley, Nora on various topics in the late afternoon.\",\"I spent 41 talking to Lydia, Kinsley, Nora on various topics in the late afternoon.\"\n25577,2017/07/31,\"I spent 51 talking to Nevaeh, Piper, Kinsley, Rylee on various topics late in the evening.\",\"I spent 51 talking to Nevaeh, Piper, Kinsley, Rylee on various topics late in the evening.\"\n25578,2017/07/31,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n25579,2017/07/31,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n25580,2017/08/01,I went on a date with Zoe on 2017/08/01 at a coffee Shop,I went on a date with Zoe on 2017/08/01 at a coffee Shop\n25581,2017/08/01,\"I bought some guava, watermelons, cherres, strawberries, pineapple juice, sports drinks, orange juice, coffee, conditioner from the grocery store. I saw Emily, Andrew, Carter, Kayden at the grocery store.\",\"I bought some guava, watermelons, cherres, strawberries, pineapple juice, sports drinks, orange juice, coffee, conditioner from the grocery store. I saw Emily, Andrew, Carter, Kayden at the grocery store.\"\n25582,2017/08/01,I did weight lifting on 2017/08/01.,I did weight lifting on 2017/08/01.\n25583,2017/08/01,\"I had breakfast with Eva, Piper, Claire, Piper, Rylee, Olivia, Nora, Lydia, Hazel. I ate oatmeal.\",\"I had breakfast with Eva, Piper, Claire, Piper, Rylee, Olivia, Nora, Lydia, Hazel. I ate oatmeal.\"\n25584,2017/08/01,\"I had sushi for lunch with Piper, Nevaeh, Kinsley\",\"I had sushi for lunch with Piper, Nevaeh, Kinsley\"\n25585,2017/08/01,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n25586,2017/08/01,\"I spent 33 talking to Claire, Piper on various topics in the late afternoon.\",\"I spent 33 talking to Claire, Piper on various topics in the late afternoon.\"\n25587,2017/08/01,\"I talked to Hazel, Lydia, Nora, Claire for 21 minutes in the early afternoon.\",\"I talked to Hazel, Lydia, Nora, Claire for 21 minutes in the early afternoon.\"\n25588,2017/08/01,\"I spent 45 talking to Piper, Hazel on various topics late in the evening.\",\"I spent 45 talking to Piper, Hazel on various topics late in the evening.\"\n25589,2017/08/01,\"I spent 28 talking to Kinsley, Claire, Nora on various topics in the late afternoon.\",\"I spent 28 talking to Kinsley, Claire, Nora on various topics in the late afternoon.\"\n25590,2017/08/01,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n25591,2017/08/01,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n25592,2017/08/02,\"I bought some nectarines, pineapples, watermelons, strawberries, soda, milk, chocolate milk, facial wash, shaving cream from the grocery store. I saw Carter, Andrew, Emily, Kayden at the grocery store.\",\"I bought some nectarines, pineapples, watermelons, strawberries, soda, milk, chocolate milk, facial wash, shaving cream from the grocery store. I saw Carter, Andrew, Emily, Kayden at the grocery store.\"\n25593,2017/08/02,I did biking on 2017/08/02.,I did biking on 2017/08/02.\n25594,2017/08/02,\"I had pancakes for breakfast with Carter, Andrew\",\"I had pancakes for breakfast with Carter, Andrew\"\n25595,2017/08/02,\"I had sushi for lunch with Nevaeh, Avery, Rylee, Piper, Olivia, Nora\",\"I had sushi for lunch with Nevaeh, Avery, Rylee, Piper, Olivia, Nora\"\n25596,2017/08/02,I had a burger for dinner with Kayden,I had a burger for dinner with Kayden\n25597,2017/08/02,\"I talked to Olivia, Hazel for 36 minutes in the early evening.\",\"I talked to Olivia, Hazel for 36 minutes in the early evening.\"\n25598,2017/08/02,\"I talked to Hazel, Piper for 37 minutes late in the evening.\",\"I talked to Hazel, Piper for 37 minutes late in the evening.\"\n25599,2017/08/02,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n25600,2017/08/02,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n25601,2017/08/03,I did swimming on 2017/08/03.,I did swimming on 2017/08/03.\n25602,2017/08/03,\"I had eggs, sausages, and bread for breakfast with Avery, Benjamin, Jackson, Willow\",\"I had eggs, sausages, and bread for breakfast with Avery, Benjamin, Jackson, Willow\"\n25603,2017/08/03,\"I had lunch with Nora, Claire, Olivia, Eva, Piper, Layla, Kinsley, Nevaeh, Hazel, Rylee, Lydia, Piper, Avery. I ate sandwich.\",\"I had lunch with Nora, Claire, Olivia, Eva, Piper, Layla, Kinsley, Nevaeh, Hazel, Rylee, Lydia, Piper, Avery. I ate sandwich.\"\n25604,2017/08/03,\"I had pasta for dinner with Hazel, Avery, Piper, Layla, Rylee, Kinsley, Nevaeh, Olivia, Lydia, Piper, Claire, Eva\",\"I had pasta for dinner with Hazel, Avery, Piper, Layla, Rylee, Kinsley, Nevaeh, Olivia, Lydia, Piper, Claire, Eva\"\n25605,2017/08/03,\"I talked to Eva, Hazel, Claire for 30 minutes in the morning.\",\"I talked to Eva, Hazel, Claire for 30 minutes in the morning.\"\n25606,2017/08/03,\"I spent 6 talking to Lydia, Kinsley, Piper on various topics in the morning.\",\"I spent 6 talking to Lydia, Kinsley, Piper on various topics in the morning.\"\n25607,2017/08/03,\"I talked to Nevaeh, Nora, Avery for 55 minutes in the early afternoon.\",\"I talked to Nevaeh, Nora, Avery for 55 minutes in the early afternoon.\"\n25608,2017/08/03,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n25609,2017/08/03,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n25610,2017/08/04,I went on a date with Easton on 2017/08/04 at a coffee Shop,I went on a date with Easton on 2017/08/04 at a coffee Shop\n25611,2017/08/04,I spent time gardening on 2017/08/04 with Kayden.,I spent time gardening on 2017/08/04 with Kayden.\n25612,2017/08/04,I did weight lifting on 2017/08/04.,I did weight lifting on 2017/08/04.\n25613,2017/08/04,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n25614,2017/08/04,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n25615,2017/08/04,I ate sandwich for dinner.,I ate sandwich for dinner.\n25616,2017/08/04,I talked to Avery for 36 minutes late in the evening.,I talked to Avery for 36 minutes late in the evening.\n25617,2017/08/04,I spent 13 talking to Layla on various topics in the morning.,I spent 13 talking to Layla on various topics in the morning.\n25618,2017/08/04,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n25619,2017/08/04,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n25620,2017/08/05,I did biking on 2017/08/05.,I did biking on 2017/08/05.\n25621,2017/08/05,\"I had peanut-butter-jam for breakfast with Carter, Andrew, Emily, Kayden\",\"I had peanut-butter-jam for breakfast with Carter, Andrew, Emily, Kayden\"\n25622,2017/08/05,I had lunch. I ate steak.,I had lunch. I ate steak.\n25623,2017/08/05,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n25624,2017/08/05,\"I spent 31 talking to Avery, Nevaeh, Claire on various topics in the early afternoon.\",\"I spent 31 talking to Avery, Nevaeh, Claire on various topics in the early afternoon.\"\n25625,2017/08/05,\"I spent 38 talking to Olivia, Layla on various topics during lunch hours.\",\"I spent 38 talking to Olivia, Layla on various topics during lunch hours.\"\n25626,2017/08/05,\"I talked to Kinsley, Claire, Lydia for 30 minutes in the early afternoon.\",\"I talked to Kinsley, Claire, Lydia for 30 minutes in the early afternoon.\"\n25627,2017/08/05,\"I talked to Hazel, Rylee for 20 minutes in the early evening.\",\"I talked to Hazel, Rylee for 20 minutes in the early evening.\"\n25628,2017/08/05,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n25629,2017/08/05,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n25630,2017/08/06,\"On 2017/08/06, I took Leo on a date to a coffee Shop\",\"On 2017/08/06, I took Leo on a date to a coffee Shop\"\n25631,2017/08/06,I spent time learning a language on 2017/08/06 with Kayden.,I spent time learning a language on 2017/08/06 with Kayden.\n25632,2017/08/06,I did biking on 2017/08/06.,I did biking on 2017/08/06.\n25633,2017/08/06,\"I had peanut-butter-jam for breakfast with Kinsley, Avery, Claire, Eva, Olivia, Piper, Nora, Rylee\",\"I had peanut-butter-jam for breakfast with Kinsley, Avery, Claire, Eva, Olivia, Piper, Nora, Rylee\"\n25634,2017/08/06,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n25635,2017/08/06,I prepare indian food for dinner.,I prepare indian food for dinner.\n25636,2017/08/06,\"I talked to Lydia, Piper for 18 minutes in the early afternoon.\",\"I talked to Lydia, Piper for 18 minutes in the early afternoon.\"\n25637,2017/08/06,\"I talked to Layla, Nora, Olivia, Lydia for 28 minutes in the morning.\",\"I talked to Layla, Nora, Olivia, Lydia for 28 minutes in the morning.\"\n25638,2017/08/06,\"I spent 52 talking to Avery, Eva, Layla, Claire on various topics in the early evening.\",\"I spent 52 talking to Avery, Eva, Layla, Claire on various topics in the early evening.\"\n25639,2017/08/06,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n25640,2017/08/06,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n25641,2017/08/07,I did running on 2017/08/07.,I did running on 2017/08/07.\n25642,2017/08/07,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n25643,2017/08/07,I ate sandwich for lunch.,I ate sandwich for lunch.\n25644,2017/08/07,I ate sushi for dinner.,I ate sushi for dinner.\n25645,2017/08/07,\"I talked to Rylee, Piper, Eva, Hazel for 15 minutes during lunch hours.\",\"I talked to Rylee, Piper, Eva, Hazel for 15 minutes during lunch hours.\"\n25646,2017/08/07,I spent 20 talking to Layla on various topics in the early evening.,I spent 20 talking to Layla on various topics in the early evening.\n25647,2017/08/07,\"I spent 25 talking to Layla, Kinsley, Eva on various topics in the early afternoon.\",\"I spent 25 talking to Layla, Kinsley, Eva on various topics in the early afternoon.\"\n25648,2017/08/07,\"I spent 37 talking to Kinsley, Layla, Rylee on various topics in the early evening.\",\"I spent 37 talking to Kinsley, Layla, Rylee on various topics in the early evening.\"\n25649,2017/08/07,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n25650,2017/08/07,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n25651,2017/08/08,I did hiking on 2017/08/08.,I did hiking on 2017/08/08.\n25652,2017/08/08,I had breakfast with Carter. I ate cereals.,I had breakfast with Carter. I ate cereals.\n25653,2017/08/08,I prepare pasta for lunch.,I prepare pasta for lunch.\n25654,2017/08/08,I had dinner with Jackson. I ate a burger.,I had dinner with Jackson. I ate a burger.\n25655,2017/08/08,\"I talked to Rylee, Olivia for 10 minutes late in the evening.\",\"I talked to Rylee, Olivia for 10 minutes late in the evening.\"\n25656,2017/08/08,\"I spent 53 talking to Hazel, Piper, Lydia, Layla on various topics during lunch hours.\",\"I spent 53 talking to Hazel, Piper, Lydia, Layla on various topics during lunch hours.\"\n25657,2017/08/08,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n25658,2017/08/08,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n25659,2017/08/09,I did biking on 2017/08/09.,I did biking on 2017/08/09.\n25660,2017/08/09,I had toast and cheese for breakfast with Willow,I had toast and cheese for breakfast with Willow\n25661,2017/08/09,\"I had indian food for lunch with Kayden, Emily\",\"I had indian food for lunch with Kayden, Emily\"\n25662,2017/08/09,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n25663,2017/08/09,\"I talked to Piper, Rylee for 11 minutes in the morning.\",\"I talked to Piper, Rylee for 11 minutes in the morning.\"\n25664,2017/08/09,\"I talked to Olivia, Hazel, Rylee, Claire for 53 minutes in the late afternoon.\",\"I talked to Olivia, Hazel, Rylee, Claire for 53 minutes in the late afternoon.\"\n25665,2017/08/09,\"I talked to Layla, Avery, Rylee for 15 minutes in the late afternoon.\",\"I talked to Layla, Avery, Rylee for 15 minutes in the late afternoon.\"\n25666,2017/08/09,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n25667,2017/08/09,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n25668,2017/08/10,I did swimming on 2017/08/10.,I did swimming on 2017/08/10.\n25669,2017/08/10,\"I had breakfast with Claire, Piper. I ate oatmeal.\",\"I had breakfast with Claire, Piper. I ate oatmeal.\"\n25670,2017/08/10,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n25671,2017/08/10,I had dinner with Layla. I ate sushi.,I had dinner with Layla. I ate sushi.\n25672,2017/08/10,I talked to Piper for 28 minutes during lunch hours.,I talked to Piper for 28 minutes during lunch hours.\n25673,2017/08/10,I spent 52 talking to Piper on various topics during lunch hours.,I spent 52 talking to Piper on various topics during lunch hours.\n25674,2017/08/10,\"I talked to Eva, Piper for 53 minutes in the early evening.\",\"I talked to Eva, Piper for 53 minutes in the early evening.\"\n25675,2017/08/10,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n25676,2017/08/10,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n25677,2017/08/11,I did weight lifting on 2017/08/11.,I did weight lifting on 2017/08/11.\n25678,2017/08/11,\"I had breakfast with Rylee, Piper, Avery, Layla, Eva, Claire, Piper, Nora, Nevaeh, Lydia, Kinsley. I ate oatmeal.\",\"I had breakfast with Rylee, Piper, Avery, Layla, Eva, Claire, Piper, Nora, Nevaeh, Lydia, Kinsley. I ate oatmeal.\"\n25679,2017/08/11,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n25680,2017/08/11,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n25681,2017/08/11,\"I spent 50 talking to Hazel, Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 50 talking to Hazel, Piper, Nevaeh on various topics in the early afternoon.\"\n25682,2017/08/11,\"I spent 15 talking to Piper, Olivia on various topics during lunch hours.\",\"I spent 15 talking to Piper, Olivia on various topics during lunch hours.\"\n25683,2017/08/11,\"I spent 16 talking to Avery, Nora on various topics in the early afternoon.\",\"I spent 16 talking to Avery, Nora on various topics in the early afternoon.\"\n25684,2017/08/11,\"I talked to Layla, Lydia, Kinsley for 50 minutes in the late afternoon.\",\"I talked to Layla, Lydia, Kinsley for 50 minutes in the late afternoon.\"\n25685,2017/08/11,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n25686,2017/08/11,I spent 8 minutes watching a movie on TV today.,I spent 8 minutes watching a movie on TV today.\n25687,2017/08/12,\"I bought some watermelons, peaches, oranges, mango juice, conditioner online.\",\"I bought some watermelons, peaches, oranges, mango juice, conditioner online.\"\n25688,2017/08/12,I did HIIT on 2017/08/12.,I did HIIT on 2017/08/12.\n25689,2017/08/12,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n25690,2017/08/12,I ate sushi for lunch.,I ate sushi for lunch.\n25691,2017/08/12,I ate a burger for dinner.,I ate a burger for dinner.\n25692,2017/08/12,\"I spent 53 talking to Piper, Hazel, Olivia, Nora on various topics during lunch hours.\",\"I spent 53 talking to Piper, Hazel, Olivia, Nora on various topics during lunch hours.\"\n25693,2017/08/12,I talked to Avery for 23 minutes late in the evening.,I talked to Avery for 23 minutes late in the evening.\n25694,2017/08/12,\"I talked to Olivia, Piper, Nora for 49 minutes late in the evening.\",\"I talked to Olivia, Piper, Nora for 49 minutes late in the evening.\"\n25695,2017/08/12,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n25696,2017/08/12,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n25697,2017/08/13,I did swimming on 2017/08/13.,I did swimming on 2017/08/13.\n25698,2017/08/13,\"I had toast and cheese for breakfast with Andrew, Emily\",\"I had toast and cheese for breakfast with Andrew, Emily\"\n25699,2017/08/13,I had lunch with Willow. I ate sandwich.,I had lunch with Willow. I ate sandwich.\n25700,2017/08/13,I had dinner with Kayden. I ate sushi.,I had dinner with Kayden. I ate sushi.\n25701,2017/08/13,I talked to Olivia for 43 minutes in the early evening.,I talked to Olivia for 43 minutes in the early evening.\n25702,2017/08/13,\"I talked to Kinsley, Nevaeh, Piper, Piper for 30 minutes in the early afternoon.\",\"I talked to Kinsley, Nevaeh, Piper, Piper for 30 minutes in the early afternoon.\"\n25703,2017/08/13,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n25704,2017/08/13,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n25705,2017/08/14,I did weight lifting on 2017/08/14.,I did weight lifting on 2017/08/14.\n25706,2017/08/14,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n25707,2017/08/14,\"I had lunch with Avery, Nevaeh, Hazel, Layla. I ate indian food.\",\"I had lunch with Avery, Nevaeh, Hazel, Layla. I ate indian food.\"\n25708,2017/08/14,\"I had dinner with Andrew, Kayden, Emily, Carter. I ate tacos.\",\"I had dinner with Andrew, Kayden, Emily, Carter. I ate tacos.\"\n25709,2017/08/14,\"I spent 10 talking to Eva, Piper, Kinsley on various topics in the morning.\",\"I spent 10 talking to Eva, Piper, Kinsley on various topics in the morning.\"\n25710,2017/08/14,\"I spent 41 talking to Eva, Piper on various topics in the early afternoon.\",\"I spent 41 talking to Eva, Piper on various topics in the early afternoon.\"\n25711,2017/08/14,\"I talked to Claire, Olivia, Lydia, Nora for 12 minutes in the morning.\",\"I talked to Claire, Olivia, Lydia, Nora for 12 minutes in the morning.\"\n25712,2017/08/14,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n25713,2017/08/14,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n25714,2017/08/15,\"I went grocery shopping. I bought some pears, orange juice, and facial wash, shampoo, shaving cream\",\"I went grocery shopping. I bought some pears, orange juice, and facial wash, shampoo, shaving cream\"\n25715,2017/08/15,I did running on 2017/08/15.,I did running on 2017/08/15.\n25716,2017/08/15,\"I had eggs, sausages, and bread for breakfast with Avery, Willow, Jackson\",\"I had eggs, sausages, and bread for breakfast with Avery, Willow, Jackson\"\n25717,2017/08/15,I prepare tacos for lunch.,I prepare tacos for lunch.\n25718,2017/08/15,I ate a burger for dinner.,I ate a burger for dinner.\n25719,2017/08/15,\"I spent 36 talking to Claire, Nora, Nevaeh, Rylee on various topics during lunch hours.\",\"I spent 36 talking to Claire, Nora, Nevaeh, Rylee on various topics during lunch hours.\"\n25720,2017/08/15,\"I talked to Olivia, Layla, Piper for 12 minutes in the morning.\",\"I talked to Olivia, Layla, Piper for 12 minutes in the morning.\"\n25721,2017/08/15,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n25722,2017/08/15,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n25723,2017/08/16,I did weight lifting on 2017/08/16.,I did weight lifting on 2017/08/16.\n25724,2017/08/16,\"I had oatmeal for breakfast with Andrew, Kayden\",\"I had oatmeal for breakfast with Andrew, Kayden\"\n25725,2017/08/16,\"I had lunch with Layla, Olivia, Piper, Nora, Eva, Rylee, Avery, Kinsley, Hazel, Claire. I ate indian food.\",\"I had lunch with Layla, Olivia, Piper, Nora, Eva, Rylee, Avery, Kinsley, Hazel, Claire. I ate indian food.\"\n25726,2017/08/16,I had tacos for dinner with Jackson,I had tacos for dinner with Jackson\n25727,2017/08/16,\"I spent 31 talking to Piper, Olivia, Rylee, Eva on various topics in the early evening.\",\"I spent 31 talking to Piper, Olivia, Rylee, Eva on various topics in the early evening.\"\n25728,2017/08/16,\"I spent 25 talking to Piper, Rylee, Piper on various topics late in the evening.\",\"I spent 25 talking to Piper, Rylee, Piper on various topics late in the evening.\"\n25729,2017/08/16,\"I talked to Olivia, Hazel, Rylee, Claire for 45 minutes in the morning.\",\"I talked to Olivia, Hazel, Rylee, Claire for 45 minutes in the morning.\"\n25730,2017/08/16,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n25731,2017/08/16,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n25732,2017/08/17,I did weight lifting on 2017/08/17.,I did weight lifting on 2017/08/17.\n25733,2017/08/17,\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Carter\",\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Carter\"\n25734,2017/08/17,I ate chinese food for lunch.,I ate chinese food for lunch.\n25735,2017/08/17,I ate chinese food for dinner.,I ate chinese food for dinner.\n25736,2017/08/17,\"I spent 6 talking to Hazel, Kinsley, Avery, Nevaeh on various topics in the early evening.\",\"I spent 6 talking to Hazel, Kinsley, Avery, Nevaeh on various topics in the early evening.\"\n25737,2017/08/17,\"I spent 43 talking to Rylee, Piper, Kinsley, Nevaeh on various topics in the early afternoon.\",\"I spent 43 talking to Rylee, Piper, Kinsley, Nevaeh on various topics in the early afternoon.\"\n25738,2017/08/17,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n25739,2017/08/17,I watched a documentary for 36 minutes on TV today.,I watched a documentary for 36 minutes on TV today.\n25740,2017/08/18,\"On 2017/08/18, I took Owen on a date to a restaurant\",\"On 2017/08/18, I took Owen on a date to a restaurant\"\n25741,2017/08/18,I spent some time meditation on 2017/08/18.,I spent some time meditation on 2017/08/18.\n25742,2017/08/18,\"I went grocery shopping with Piper, Lydia, Rylee, Kinsley, Olivia, Nora, Layla, Hazel. I bought some blueberries, pears, mangos, blackberries, soda, orange juice, mango juice, and toilet paper, facial wash, mouthwash, toothpaste\",\"I went grocery shopping with Piper, Lydia, Rylee, Kinsley, Olivia, Nora, Layla, Hazel. I bought some blueberries, pears, mangos, blackberries, soda, orange juice, mango juice, and toilet paper, facial wash, mouthwash, toothpaste\"\n25743,2017/08/18,I did weight lifting on 2017/08/18.,I did weight lifting on 2017/08/18.\n25744,2017/08/18,I had peanut-butter-jam for breakfast with Andrew,I had peanut-butter-jam for breakfast with Andrew\n25745,2017/08/18,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n25746,2017/08/18,\"I had dinner with Andrew, Kayden, Carter. I ate tacos.\",\"I had dinner with Andrew, Kayden, Carter. I ate tacos.\"\n25747,2017/08/18,\"I talked to Lydia, Avery, Piper, Nevaeh for 20 minutes during lunch hours.\",\"I talked to Lydia, Avery, Piper, Nevaeh for 20 minutes during lunch hours.\"\n25748,2017/08/18,I talked to Olivia for 27 minutes in the early evening.,I talked to Olivia for 27 minutes in the early evening.\n25749,2017/08/18,\"I talked to Kinsley, Lydia, Piper for 27 minutes late in the evening.\",\"I talked to Kinsley, Lydia, Piper for 27 minutes late in the evening.\"\n25750,2017/08/18,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n25751,2017/08/18,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n25752,2017/08/19,I did HIIT on 2017/08/19.,I did HIIT on 2017/08/19.\n25753,2017/08/19,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n25754,2017/08/19,I ate a burger for lunch.,I ate a burger for lunch.\n25755,2017/08/19,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n25756,2017/08/19,I spent 17 talking to Eva on various topics in the late afternoon.,I spent 17 talking to Eva on various topics in the late afternoon.\n25757,2017/08/19,\"I talked to Kinsley, Claire, Piper, Hazel for 49 minutes in the early evening.\",\"I talked to Kinsley, Claire, Piper, Hazel for 49 minutes in the early evening.\"\n25758,2017/08/19,\"I spent 48 talking to Olivia, Layla on various topics in the early afternoon.\",\"I spent 48 talking to Olivia, Layla on various topics in the early afternoon.\"\n25759,2017/08/19,\"I spent 19 talking to Eva, Kinsley, Nora, Piper on various topics late in the evening.\",\"I spent 19 talking to Eva, Kinsley, Nora, Piper on various topics late in the evening.\"\n25760,2017/08/19,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n25761,2017/08/19,I watched news for 40 minutes on TV today.,I watched news for 40 minutes on TV today.\n25762,2017/08/20,I did running on 2017/08/20.,I did running on 2017/08/20.\n25763,2017/08/20,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n25764,2017/08/20,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n25765,2017/08/20,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n25766,2017/08/20,\"I talked to Piper, Claire, Rylee for 26 minutes in the morning.\",\"I talked to Piper, Claire, Rylee for 26 minutes in the morning.\"\n25767,2017/08/20,I spent 38 talking to Nora on various topics in the morning.,I spent 38 talking to Nora on various topics in the morning.\n25768,2017/08/20,\"I spent 47 talking to Piper, Hazel, Nora on various topics late in the evening.\",\"I spent 47 talking to Piper, Hazel, Nora on various topics late in the evening.\"\n25769,2017/08/20,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n25770,2017/08/20,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n25771,2017/08/21,\"I went grocery shopping. I bought some pineapples, strawberries, tea, guava juice, apple juice, coffee, and toothbrush\",\"I went grocery shopping. I bought some pineapples, strawberries, tea, guava juice, apple juice, coffee, and toothbrush\"\n25772,2017/08/21,I did running on 2017/08/21.,I did running on 2017/08/21.\n25773,2017/08/21,I had pancakes for breakfast with Layla,I had pancakes for breakfast with Layla\n25774,2017/08/21,I had lunch with Benjamin. I ate sandwich.,I had lunch with Benjamin. I ate sandwich.\n25775,2017/08/21,I had dinner with Benjamin. I ate pasta.,I had dinner with Benjamin. I ate pasta.\n25776,2017/08/21,I talked to Lydia for 25 minutes in the early evening.,I talked to Lydia for 25 minutes in the early evening.\n25777,2017/08/21,\"I talked to Piper, Nevaeh, Claire for 36 minutes late in the evening.\",\"I talked to Piper, Nevaeh, Claire for 36 minutes late in the evening.\"\n25778,2017/08/21,\"I spent 18 talking to Rylee, Nevaeh on various topics during lunch hours.\",\"I spent 18 talking to Rylee, Nevaeh on various topics during lunch hours.\"\n25779,2017/08/21,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n25780,2017/08/21,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n25781,2017/08/22,I did swimming on 2017/08/22.,I did swimming on 2017/08/22.\n25782,2017/08/22,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n25783,2017/08/22,\"I had tacos for lunch with Kayden, Carter\",\"I had tacos for lunch with Kayden, Carter\"\n25784,2017/08/22,I ate chinese food for dinner.,I ate chinese food for dinner.\n25785,2017/08/22,\"I spent 37 talking to Piper, Layla, Kinsley, Nevaeh on various topics in the early evening.\",\"I spent 37 talking to Piper, Layla, Kinsley, Nevaeh on various topics in the early evening.\"\n25786,2017/08/22,\"I talked to Nora, Hazel, Claire for 23 minutes in the early evening.\",\"I talked to Nora, Hazel, Claire for 23 minutes in the early evening.\"\n25787,2017/08/22,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n25788,2017/08/22,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n25789,2017/08/23,I did hiking on 2017/08/23.,I did hiking on 2017/08/23.\n25790,2017/08/23,\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate cereals.\",\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate cereals.\"\n25791,2017/08/23,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n25792,2017/08/23,I ate indian food for dinner.,I ate indian food for dinner.\n25793,2017/08/23,I spent 20 talking to Eva on various topics in the early evening.,I spent 20 talking to Eva on various topics in the early evening.\n25794,2017/08/23,\"I spent 44 talking to Nora, Lydia, Eva, Hazel on various topics in the morning.\",\"I spent 44 talking to Nora, Lydia, Eva, Hazel on various topics in the morning.\"\n25795,2017/08/23,I talked to Lydia for 8 minutes in the late afternoon.,I talked to Lydia for 8 minutes in the late afternoon.\n25796,2017/08/23,\"I talked to Piper, Lydia, Avery, Kinsley for 26 minutes late in the evening.\",\"I talked to Piper, Lydia, Avery, Kinsley for 26 minutes late in the evening.\"\n25797,2017/08/23,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n25798,2017/08/23,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n25799,2017/08/24,I did weight lifting on 2017/08/24.,I did weight lifting on 2017/08/24.\n25800,2017/08/24,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n25801,2017/08/24,\"I had pasta for lunch with Kayden, Emily, Carter\",\"I had pasta for lunch with Kayden, Emily, Carter\"\n25802,2017/08/24,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n25803,2017/08/24,\"I spent 53 talking to Layla, Avery, Piper, Kinsley on various topics in the late afternoon.\",\"I spent 53 talking to Layla, Avery, Piper, Kinsley on various topics in the late afternoon.\"\n25804,2017/08/24,\"I talked to Nora, Rylee, Layla, Eva for 54 minutes in the morning.\",\"I talked to Nora, Rylee, Layla, Eva for 54 minutes in the morning.\"\n25805,2017/08/24,\"I talked to Olivia, Hazel for 38 minutes in the morning.\",\"I talked to Olivia, Hazel for 38 minutes in the morning.\"\n25806,2017/08/24,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n25807,2017/08/24,I spent 24 minutes watching a movie on TV today.,I spent 24 minutes watching a movie on TV today.\n25808,2017/08/25,\"I entertained Claire, Nora at my place on 2017/08/25 and cook shrimp quesadilla, cashew chicken , chinese vegetable stir-fry\",\"I entertained Claire, Nora at my place on 2017/08/25 and cook shrimp quesadilla, cashew chicken , chinese vegetable stir-fry\"\n25809,2017/08/25,\"I bought some mandarins, strawberries, milk, mango juice, tea, coffee, toilet paper, paper towel online.\",\"I bought some mandarins, strawberries, milk, mango juice, tea, coffee, toilet paper, paper towel online.\"\n25810,2017/08/25,I did weight lifting on 2017/08/25.,I did weight lifting on 2017/08/25.\n25811,2017/08/25,I ate cereals for breakfast.,I ate cereals for breakfast.\n25812,2017/08/25,\"I had lunch with Emily, Andrew, Carter, Kayden. I ate steak.\",\"I had lunch with Emily, Andrew, Carter, Kayden. I ate steak.\"\n25813,2017/08/25,\"I had dinner with Kayden, Andrew, Carter, Emily. I ate indian food.\",\"I had dinner with Kayden, Andrew, Carter, Emily. I ate indian food.\"\n25814,2017/08/25,\"I spent 53 talking to Claire, Nora on various topics late in the evening.\",\"I spent 53 talking to Claire, Nora on various topics late in the evening.\"\n25815,2017/08/25,I talked to Nevaeh for 42 minutes late in the evening.,I talked to Nevaeh for 42 minutes late in the evening.\n25816,2017/08/25,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n25817,2017/08/25,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n25818,2017/08/26,I went on a date with Elena on 2017/08/26 at a park,I went on a date with Elena on 2017/08/26 at a park\n25819,2017/08/26,I did running on 2017/08/26.,I did running on 2017/08/26.\n25820,2017/08/26,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n25821,2017/08/26,I prepare steak for lunch.,I prepare steak for lunch.\n25822,2017/08/26,I had dinner with Carter. I ate sushi.,I had dinner with Carter. I ate sushi.\n25823,2017/08/26,\"I spent 9 talking to Olivia, Claire, Eva on various topics late in the evening.\",\"I spent 9 talking to Olivia, Claire, Eva on various topics late in the evening.\"\n25824,2017/08/26,\"I spent 48 talking to Hazel, Rylee on various topics late in the evening.\",\"I spent 48 talking to Hazel, Rylee on various topics late in the evening.\"\n25825,2017/08/26,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n25826,2017/08/26,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n25827,2017/08/27,\"I bought some cherres, bananas, watermelons, oranges, guava juice, apple juice, milk, body lotion online.\",\"I bought some cherres, bananas, watermelons, oranges, guava juice, apple juice, milk, body lotion online.\"\n25828,2017/08/27,I did running on 2017/08/27.,I did running on 2017/08/27.\n25829,2017/08/27,I ate cereals for breakfast.,I ate cereals for breakfast.\n25830,2017/08/27,I had sandwich for lunch with Carter,I had sandwich for lunch with Carter\n25831,2017/08/27,I had dinner with Emily. I ate tacos.,I had dinner with Emily. I ate tacos.\n25832,2017/08/27,\"I spent 12 talking to Layla, Olivia on various topics late in the evening.\",\"I spent 12 talking to Layla, Olivia on various topics late in the evening.\"\n25833,2017/08/27,\"I talked to Nora, Eva for 55 minutes in the morning.\",\"I talked to Nora, Eva for 55 minutes in the morning.\"\n25834,2017/08/27,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n25835,2017/08/27,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n25836,2017/08/28,I did HIIT on 2017/08/28.,I did HIIT on 2017/08/28.\n25837,2017/08/28,I had breakfast with Carter. I ate cereals.,I had breakfast with Carter. I ate cereals.\n25838,2017/08/28,\"I had lunch with Avery, Willow, Benjamin. I ate steak.\",\"I had lunch with Avery, Willow, Benjamin. I ate steak.\"\n25839,2017/08/28,\"I had dinner with Andrew, Emily. I ate chinese food.\",\"I had dinner with Andrew, Emily. I ate chinese food.\"\n25840,2017/08/28,\"I spent 16 talking to Lydia, Eva, Piper on various topics in the late afternoon.\",\"I spent 16 talking to Lydia, Eva, Piper on various topics in the late afternoon.\"\n25841,2017/08/28,I talked to Rylee for 32 minutes late in the evening.,I talked to Rylee for 32 minutes late in the evening.\n25842,2017/08/28,I spent 16 talking to Rylee on various topics in the early afternoon.,I spent 16 talking to Rylee on various topics in the early afternoon.\n25843,2017/08/28,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n25844,2017/08/28,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n25845,2017/08/29,I did hiking on 2017/08/29.,I did hiking on 2017/08/29.\n25846,2017/08/29,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n25847,2017/08/29,\"I had fish and chips for lunch with Lydia, Nora, Rylee, Olivia, Nevaeh, Piper, Piper, Avery, Kinsley\",\"I had fish and chips for lunch with Lydia, Nora, Rylee, Olivia, Nevaeh, Piper, Piper, Avery, Kinsley\"\n25848,2017/08/29,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n25849,2017/08/29,I talked to Rylee for 11 minutes in the early afternoon.,I talked to Rylee for 11 minutes in the early afternoon.\n25850,2017/08/29,I talked to Nora for 34 minutes in the late afternoon.,I talked to Nora for 34 minutes in the late afternoon.\n25851,2017/08/29,\"I talked to Rylee, Nevaeh, Nora, Eva for 7 minutes late in the evening.\",\"I talked to Rylee, Nevaeh, Nora, Eva for 7 minutes late in the evening.\"\n25852,2017/08/29,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n25853,2017/08/29,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n25854,2017/08/30,I did swimming on 2017/08/30.,I did swimming on 2017/08/30.\n25855,2017/08/30,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n25856,2017/08/30,I ate tacos for lunch.,I ate tacos for lunch.\n25857,2017/08/30,I ate pasta for dinner.,I ate pasta for dinner.\n25858,2017/08/30,\"I spent 26 talking to Avery, Nora, Rylee on various topics in the early afternoon.\",\"I spent 26 talking to Avery, Nora, Rylee on various topics in the early afternoon.\"\n25859,2017/08/30,\"I spent 45 talking to Kinsley, Layla, Hazel, Eva on various topics during lunch hours.\",\"I spent 45 talking to Kinsley, Layla, Hazel, Eva on various topics during lunch hours.\"\n25860,2017/08/30,I talked to Lydia for 31 minutes in the late afternoon.,I talked to Lydia for 31 minutes in the late afternoon.\n25861,2017/08/30,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n25862,2017/08/30,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n25863,2017/08/31,I did hiking on 2017/08/31.,I did hiking on 2017/08/31.\n25864,2017/08/31,I had breakfast with Andrew. I ate cereals.,I had breakfast with Andrew. I ate cereals.\n25865,2017/08/31,\"I had pasta for lunch with Carter, Andrew, Kayden, Emily\",\"I had pasta for lunch with Carter, Andrew, Kayden, Emily\"\n25866,2017/08/31,\"I had a burger for dinner with Kinsley, Nevaeh, Avery, Lydia, Rylee, Piper, Claire, Olivia, Hazel, Nora, Eva\",\"I had a burger for dinner with Kinsley, Nevaeh, Avery, Lydia, Rylee, Piper, Claire, Olivia, Hazel, Nora, Eva\"\n25867,2017/08/31,\"I talked to Nevaeh, Piper, Lydia for 54 minutes in the early evening.\",\"I talked to Nevaeh, Piper, Lydia for 54 minutes in the early evening.\"\n25868,2017/08/31,\"I spent 26 talking to Nevaeh, Layla, Hazel, Nora on various topics late in the evening.\",\"I spent 26 talking to Nevaeh, Layla, Hazel, Nora on various topics late in the evening.\"\n25869,2017/08/31,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n25870,2017/08/31,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n25871,2017/09/01,\"I had peanut-butter-jam for breakfast with Avery, Olivia, Piper, Hazel\",\"I had peanut-butter-jam for breakfast with Avery, Olivia, Piper, Hazel\"\n25872,2017/09/01,\"I had lunch with Rylee, Nora, Lydia, Avery. I ate chinese food.\",\"I had lunch with Rylee, Nora, Lydia, Avery. I ate chinese food.\"\n25873,2017/09/01,I had dinner. I ate steak.,I had dinner. I ate steak.\n25874,2017/09/01,\"I talked to Hazel, Piper, Avery for 29 minutes in the morning.\",\"I talked to Hazel, Piper, Avery for 29 minutes in the morning.\"\n25875,2017/09/01,\"I spent 8 talking to Nora, Olivia, Rylee on various topics in the late afternoon.\",\"I spent 8 talking to Nora, Olivia, Rylee on various topics in the late afternoon.\"\n25876,2017/09/01,\"I spent 20 talking to Avery, Rylee on various topics in the morning.\",\"I spent 20 talking to Avery, Rylee on various topics in the morning.\"\n25877,2017/09/01,I spent 50 talking to Eva on various topics in the morning.,I spent 50 talking to Eva on various topics in the morning.\n25878,2017/09/01,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n25879,2017/09/01,I spent 33 minutes watching a movie on TV today.,I spent 33 minutes watching a movie on TV today.\n25880,2017/09/02,I spent some time meditation on 2017/09/02.,I spent some time meditation on 2017/09/02.\n25881,2017/09/02,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n25882,2017/09/02,I ate pasta for lunch.,I ate pasta for lunch.\n25883,2017/09/02,I had dinner. I ate steak.,I had dinner. I ate steak.\n25884,2017/09/02,\"I talked to Eva, Kinsley, Hazel for 8 minutes during lunch hours.\",\"I talked to Eva, Kinsley, Hazel for 8 minutes during lunch hours.\"\n25885,2017/09/02,\"I talked to Lydia, Nora, Olivia, Hazel for 38 minutes in the early evening.\",\"I talked to Lydia, Nora, Olivia, Hazel for 38 minutes in the early evening.\"\n25886,2017/09/02,I spent 45 talking to Nora on various topics late in the evening.,I spent 45 talking to Nora on various topics late in the evening.\n25887,2017/09/02,\"I spent 50 talking to Lydia, Olivia, Nora on various topics late in the evening.\",\"I spent 50 talking to Lydia, Olivia, Nora on various topics late in the evening.\"\n25888,2017/09/02,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n25889,2017/09/02,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n25890,2017/09/03,I took my parents for their for an annual dental cleaning and checkup on 2017/09/03 at the private clinic.,I took my parents for their for an annual dental cleaning and checkup on 2017/09/03 at the private clinic.\n25891,2017/09/03,I did hiking on 2017/09/03.,I did hiking on 2017/09/03.\n25892,2017/09/03,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n25893,2017/09/03,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n25894,2017/09/03,\"I had a burger for dinner with Willow, Jackson, Avery, Benjamin\",\"I had a burger for dinner with Willow, Jackson, Avery, Benjamin\"\n25895,2017/09/03,\"I spent 51 talking to Olivia, Piper on various topics during lunch hours.\",\"I spent 51 talking to Olivia, Piper on various topics during lunch hours.\"\n25896,2017/09/03,\"I spent 20 talking to Piper, Hazel, Olivia on various topics in the late afternoon.\",\"I spent 20 talking to Piper, Hazel, Olivia on various topics in the late afternoon.\"\n25897,2017/09/03,\"I talked to Rylee, Olivia, Hazel, Piper for 28 minutes in the late afternoon.\",\"I talked to Rylee, Olivia, Hazel, Piper for 28 minutes in the late afternoon.\"\n25898,2017/09/03,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n25899,2017/09/03,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n25900,2017/09/04,\"I bought some watermelons, raspberries, pineapple juice, paper towel, toilet paper from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\",\"I bought some watermelons, raspberries, pineapple juice, paper towel, toilet paper from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\"\n25901,2017/09/04,I did HIIT on 2017/09/04.,I did HIIT on 2017/09/04.\n25902,2017/09/04,\"I had breakfast with Andrew, Kayden, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Kayden, Emily. I ate peanut-butter-jam.\"\n25903,2017/09/04,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n25904,2017/09/04,I prepare a burger for dinner.,I prepare a burger for dinner.\n25905,2017/09/04,I spent 10 talking to Claire on various topics during lunch hours.,I spent 10 talking to Claire on various topics during lunch hours.\n25906,2017/09/04,\"I talked to Layla, Eva, Hazel for 7 minutes in the late afternoon.\",\"I talked to Layla, Eva, Hazel for 7 minutes in the late afternoon.\"\n25907,2017/09/04,I talked to Eva for 53 minutes late in the evening.,I talked to Eva for 53 minutes late in the evening.\n25908,2017/09/04,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n25909,2017/09/04,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n25910,2017/09/05,\"On 2017/09/05, I took Logan on a date to a coffee Shop\",\"On 2017/09/05, I took Logan on a date to a coffee Shop\"\n25911,2017/09/05,I did hiking on 2017/09/05.,I did hiking on 2017/09/05.\n25912,2017/09/05,I ate cereals for breakfast.,I ate cereals for breakfast.\n25913,2017/09/05,\"I had lunch with Avery, Jackson. I ate steak.\",\"I had lunch with Avery, Jackson. I ate steak.\"\n25914,2017/09/05,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n25915,2017/09/05,\"I spent 50 talking to Rylee, Piper, Layla, Lydia on various topics in the morning.\",\"I spent 50 talking to Rylee, Piper, Layla, Lydia on various topics in the morning.\"\n25916,2017/09/05,I spent 24 talking to Layla on various topics in the early afternoon.,I spent 24 talking to Layla on various topics in the early afternoon.\n25917,2017/09/05,\"I spent 14 talking to Lydia, Nora, Avery, Claire on various topics in the early afternoon.\",\"I spent 14 talking to Lydia, Nora, Avery, Claire on various topics in the early afternoon.\"\n25918,2017/09/05,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n25919,2017/09/05,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n25920,2017/09/06,\"I bought some pineapples, apple juice, mineral water, soda, sports drinks, facial wash from the grocery store. I saw Jackson, Willow, Benjamin at the grocery store.\",\"I bought some pineapples, apple juice, mineral water, soda, sports drinks, facial wash from the grocery store. I saw Jackson, Willow, Benjamin at the grocery store.\"\n25921,2017/09/06,I did HIIT on 2017/09/06.,I did HIIT on 2017/09/06.\n25922,2017/09/06,\"I had breakfast with Kayden, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Emily. I ate peanut-butter-jam.\"\n25923,2017/09/06,I prepare sushi for lunch.,I prepare sushi for lunch.\n25924,2017/09/06,\"I had fish and chips for dinner with Carter, Emily, Andrew, Kayden\",\"I had fish and chips for dinner with Carter, Emily, Andrew, Kayden\"\n25925,2017/09/06,\"I talked to Layla, Piper, Nevaeh, Piper for 11 minutes late in the evening.\",\"I talked to Layla, Piper, Nevaeh, Piper for 11 minutes late in the evening.\"\n25926,2017/09/06,\"I spent 9 talking to Rylee, Hazel, Piper on various topics in the late afternoon.\",\"I spent 9 talking to Rylee, Hazel, Piper on various topics in the late afternoon.\"\n25927,2017/09/06,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n25928,2017/09/06,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n25929,2017/09/07,I did weight lifting on 2017/09/07.,I did weight lifting on 2017/09/07.\n25930,2017/09/07,I had cereals for breakfast with Andrew,I had cereals for breakfast with Andrew\n25931,2017/09/07,\"I had lunch with Layla, Nora, Piper, Eva, Lydia, Rylee, Kinsley, Avery, Piper. I ate sushi.\",\"I had lunch with Layla, Nora, Piper, Eva, Lydia, Rylee, Kinsley, Avery, Piper. I ate sushi.\"\n25932,2017/09/07,I prepare a burger for dinner.,I prepare a burger for dinner.\n25933,2017/09/07,\"I talked to Nevaeh, Piper, Layla for 30 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Layla for 30 minutes in the early afternoon.\"\n25934,2017/09/07,I spent 49 talking to Hazel on various topics in the morning.,I spent 49 talking to Hazel on various topics in the morning.\n25935,2017/09/07,\"I talked to Rylee, Hazel for 38 minutes during lunch hours.\",\"I talked to Rylee, Hazel for 38 minutes during lunch hours.\"\n25936,2017/09/07,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n25937,2017/09/07,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n25938,2017/09/08,I did weight lifting on 2017/09/08.,I did weight lifting on 2017/09/08.\n25939,2017/09/08,\"I had cereals for breakfast with Andrew, Kayden\",\"I had cereals for breakfast with Andrew, Kayden\"\n25940,2017/09/08,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n25941,2017/09/08,I ate pasta for dinner.,I ate pasta for dinner.\n25942,2017/09/08,\"I spent 41 talking to Nevaeh, Piper, Lydia, Olivia on various topics late in the evening.\",\"I spent 41 talking to Nevaeh, Piper, Lydia, Olivia on various topics late in the evening.\"\n25943,2017/09/08,\"I talked to Rylee, Layla for 39 minutes in the morning.\",\"I talked to Rylee, Layla for 39 minutes in the morning.\"\n25944,2017/09/08,I spent 14 talking to Nora on various topics late in the evening.,I spent 14 talking to Nora on various topics late in the evening.\n25945,2017/09/08,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n25946,2017/09/08,I spent 30 minutes watching a tv series on TV today.,I spent 30 minutes watching a tv series on TV today.\n25947,2017/09/09,I did biking on 2017/09/09.,I did biking on 2017/09/09.\n25948,2017/09/09,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n25949,2017/09/09,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n25950,2017/09/09,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n25951,2017/09/09,\"I talked to Avery, Lydia for 26 minutes during lunch hours.\",\"I talked to Avery, Lydia for 26 minutes during lunch hours.\"\n25952,2017/09/09,\"I talked to Olivia, Piper, Eva, Layla for 37 minutes in the early evening.\",\"I talked to Olivia, Piper, Eva, Layla for 37 minutes in the early evening.\"\n25953,2017/09/09,I talked to Piper for 10 minutes in the morning.,I talked to Piper for 10 minutes in the morning.\n25954,2017/09/09,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n25955,2017/09/09,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n25956,2017/09/10,\"I really enjoyed baking chocolate skillet cake, brown sugar-pear puff pastries on 2017/09/10 with Andrew, Kayden, Carter, Emily at my place\",\"I really enjoyed baking chocolate skillet cake, brown sugar-pear puff pastries on 2017/09/10 with Andrew, Kayden, Carter, Emily at my place\"\n25957,2017/09/10,I had breakfast with Jackson. I ate toast and cheese.,I had breakfast with Jackson. I ate toast and cheese.\n25958,2017/09/10,\"I had steak for lunch with Piper, Lydia, Claire, Kinsley, Layla, Piper, Nora, Olivia, Nevaeh, Eva, Avery, Hazel\",\"I had steak for lunch with Piper, Lydia, Claire, Kinsley, Layla, Piper, Nora, Olivia, Nevaeh, Eva, Avery, Hazel\"\n25959,2017/09/10,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n25960,2017/09/10,\"I talked to Avery, Rylee, Kinsley, Hazel for 31 minutes in the early evening.\",\"I talked to Avery, Rylee, Kinsley, Hazel for 31 minutes in the early evening.\"\n25961,2017/09/10,I talked to Nevaeh for 47 minutes during lunch hours.,I talked to Nevaeh for 47 minutes during lunch hours.\n25962,2017/09/10,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n25963,2017/09/10,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n25964,2017/09/11,I did biking on 2017/09/11.,I did biking on 2017/09/11.\n25965,2017/09/11,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n25966,2017/09/11,I had lunch with Carter. I ate sushi.,I had lunch with Carter. I ate sushi.\n25967,2017/09/11,\"I had dinner with Rylee, Claire, Hazel, Piper, Olivia, Nora, Piper, Avery, Eva. I ate sushi.\",\"I had dinner with Rylee, Claire, Hazel, Piper, Olivia, Nora, Piper, Avery, Eva. I ate sushi.\"\n25968,2017/09/11,I talked to Layla for 40 minutes in the early afternoon.,I talked to Layla for 40 minutes in the early afternoon.\n25969,2017/09/11,I talked to Nevaeh for 27 minutes late in the evening.,I talked to Nevaeh for 27 minutes late in the evening.\n25970,2017/09/11,\"I talked to Claire, Nevaeh, Hazel for 48 minutes late in the evening.\",\"I talked to Claire, Nevaeh, Hazel for 48 minutes late in the evening.\"\n25971,2017/09/11,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n25972,2017/09/11,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n25973,2017/09/12,I spent some time gardening on 2017/09/12.,I spent some time gardening on 2017/09/12.\n25974,2017/09/12,\"I bought some pears, pineapples, apples, apricots, sports drinks, pineapple juice, mango juice, chocolate milk, body lotion, toothpaste from the grocery store. I saw Avery, Nevaeh at the grocery store.\",\"I bought some pears, pineapples, apples, apricots, sports drinks, pineapple juice, mango juice, chocolate milk, body lotion, toothpaste from the grocery store. I saw Avery, Nevaeh at the grocery store.\"\n25975,2017/09/12,I did biking on 2017/09/12.,I did biking on 2017/09/12.\n25976,2017/09/12,\"I had breakfast with Carter, Kayden, Andrew. I ate toast and cheese.\",\"I had breakfast with Carter, Kayden, Andrew. I ate toast and cheese.\"\n25977,2017/09/12,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n25978,2017/09/12,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n25979,2017/09/12,\"I talked to Piper, Piper for 32 minutes in the early evening.\",\"I talked to Piper, Piper for 32 minutes in the early evening.\"\n25980,2017/09/12,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n25981,2017/09/12,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n25982,2017/09/13,I really enjoyed working out on 2017/09/13,I really enjoyed working out on 2017/09/13\n25983,2017/09/13,I did hiking on 2017/09/13.,I did hiking on 2017/09/13.\n25984,2017/09/13,\"I had breakfast with Willow, Benjamin. I ate cereals.\",\"I had breakfast with Willow, Benjamin. I ate cereals.\"\n25985,2017/09/13,\"I had fish and chips for lunch with Olivia, Avery, Rylee, Piper, Hazel, Layla, Eva, Kinsley, Nevaeh, Nora, Claire, Piper\",\"I had fish and chips for lunch with Olivia, Avery, Rylee, Piper, Hazel, Layla, Eva, Kinsley, Nevaeh, Nora, Claire, Piper\"\n25986,2017/09/13,I had dinner with Andrew. I ate a burger.,I had dinner with Andrew. I ate a burger.\n25987,2017/09/13,\"I talked to Layla, Eva, Hazel for 35 minutes in the early afternoon.\",\"I talked to Layla, Eva, Hazel for 35 minutes in the early afternoon.\"\n25988,2017/09/13,\"I talked to Lydia, Kinsley, Nevaeh for 47 minutes in the late afternoon.\",\"I talked to Lydia, Kinsley, Nevaeh for 47 minutes in the late afternoon.\"\n25989,2017/09/13,I spent 26 talking to Claire on various topics in the late afternoon.,I spent 26 talking to Claire on various topics in the late afternoon.\n25990,2017/09/13,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n25991,2017/09/13,I watched a documentary for 49 minutes on TV today.,I watched a documentary for 49 minutes on TV today.\n25992,2017/09/14,I did biking on 2017/09/14.,I did biking on 2017/09/14.\n25993,2017/09/14,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n25994,2017/09/14,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n25995,2017/09/14,\"I had dinner with Carter, Emily. I ate indian food.\",\"I had dinner with Carter, Emily. I ate indian food.\"\n25996,2017/09/14,\"I talked to Claire, Lydia, Nevaeh for 5 minutes in the early afternoon.\",\"I talked to Claire, Lydia, Nevaeh for 5 minutes in the early afternoon.\"\n25997,2017/09/14,\"I spent 19 talking to Piper, Claire, Eva, Olivia on various topics in the early afternoon.\",\"I spent 19 talking to Piper, Claire, Eva, Olivia on various topics in the early afternoon.\"\n25998,2017/09/14,\"I spent 27 talking to Rylee, Piper, Nora, Kinsley on various topics in the late afternoon.\",\"I spent 27 talking to Rylee, Piper, Nora, Kinsley on various topics in the late afternoon.\"\n25999,2017/09/14,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n26000,2017/09/14,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n26001,2017/09/15,I did weight lifting on 2017/09/15.,I did weight lifting on 2017/09/15.\n26002,2017/09/15,\"I had peanut-butter-jam for breakfast with Nora, Piper, Avery\",\"I had peanut-butter-jam for breakfast with Nora, Piper, Avery\"\n26003,2017/09/15,\"I had lunch with Hazel, Olivia. I ate sushi.\",\"I had lunch with Hazel, Olivia. I ate sushi.\"\n26004,2017/09/15,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n26005,2017/09/15,I talked to Rylee for 30 minutes in the early evening.,I talked to Rylee for 30 minutes in the early evening.\n26006,2017/09/15,\"I talked to Kinsley, Layla, Olivia, Eva for 49 minutes in the late afternoon.\",\"I talked to Kinsley, Layla, Olivia, Eva for 49 minutes in the late afternoon.\"\n26007,2017/09/15,I talked to Hazel for 30 minutes during lunch hours.,I talked to Hazel for 30 minutes during lunch hours.\n26008,2017/09/15,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n26009,2017/09/15,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n26010,2017/09/16,\"I went grocery shopping with Emily, Kayden, Andrew, Carter. I bought some mandarins, blackberries, blueberries, raspberries, pineapple juice, guava juice, mineral water, sports drinks, and toothpaste, shaving cream, paper towel, body lotion\",\"I went grocery shopping with Emily, Kayden, Andrew, Carter. I bought some mandarins, blackberries, blueberries, raspberries, pineapple juice, guava juice, mineral water, sports drinks, and toothpaste, shaving cream, paper towel, body lotion\"\n26011,2017/09/16,I did biking on 2017/09/16.,I did biking on 2017/09/16.\n26012,2017/09/16,\"I had peanut-butter-jam for breakfast with Eva, Nora, Piper, Rylee, Hazel, Lydia, Olivia, Nevaeh, Layla, Claire, Piper, Kinsley, Avery\",\"I had peanut-butter-jam for breakfast with Eva, Nora, Piper, Rylee, Hazel, Lydia, Olivia, Nevaeh, Layla, Claire, Piper, Kinsley, Avery\"\n26013,2017/09/16,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n26014,2017/09/16,I had dinner with Emily. I ate a burger.,I had dinner with Emily. I ate a burger.\n26015,2017/09/16,\"I spent 40 talking to Avery, Claire on various topics in the late afternoon.\",\"I spent 40 talking to Avery, Claire on various topics in the late afternoon.\"\n26016,2017/09/16,I talked to Piper for 13 minutes in the early evening.,I talked to Piper for 13 minutes in the early evening.\n26017,2017/09/16,\"I talked to Kinsley, Lydia for 5 minutes in the early afternoon.\",\"I talked to Kinsley, Lydia for 5 minutes in the early afternoon.\"\n26018,2017/09/16,\"I talked to Piper, Layla for 47 minutes in the late afternoon.\",\"I talked to Piper, Layla for 47 minutes in the late afternoon.\"\n26019,2017/09/16,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n26020,2017/09/16,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n26021,2017/09/17,I did biking on 2017/09/17.,I did biking on 2017/09/17.\n26022,2017/09/17,\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden, Andrew\",\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden, Andrew\"\n26023,2017/09/17,\"I had lunch with Carter, Andrew, Kayden, Emily. I ate sandwich.\",\"I had lunch with Carter, Andrew, Kayden, Emily. I ate sandwich.\"\n26024,2017/09/17,I prepare a burger for dinner.,I prepare a burger for dinner.\n26025,2017/09/17,\"I spent 15 talking to Layla, Piper on various topics during lunch hours.\",\"I spent 15 talking to Layla, Piper on various topics during lunch hours.\"\n26026,2017/09/17,\"I talked to Layla, Rylee, Piper, Olivia for 7 minutes in the late afternoon.\",\"I talked to Layla, Rylee, Piper, Olivia for 7 minutes in the late afternoon.\"\n26027,2017/09/17,\"I spent 37 talking to Piper, Nevaeh, Hazel on various topics during lunch hours.\",\"I spent 37 talking to Piper, Nevaeh, Hazel on various topics during lunch hours.\"\n26028,2017/09/17,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n26029,2017/09/17,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n26030,2017/09/18,\"I bought some cherres, orange juice, mouth wash, toothpaste, toothbrush, body lotion online.\",\"I bought some cherres, orange juice, mouth wash, toothpaste, toothbrush, body lotion online.\"\n26031,2017/09/18,I did running on 2017/09/18.,I did running on 2017/09/18.\n26032,2017/09/18,I ate cereals for breakfast.,I ate cereals for breakfast.\n26033,2017/09/18,\"I had lunch with Emily, Carter, Andrew, Kayden. I ate sushi.\",\"I had lunch with Emily, Carter, Andrew, Kayden. I ate sushi.\"\n26034,2017/09/18,\"I had dinner with Hazel, Claire. I ate sushi.\",\"I had dinner with Hazel, Claire. I ate sushi.\"\n26035,2017/09/18,I talked to Hazel for 43 minutes in the late afternoon.,I talked to Hazel for 43 minutes in the late afternoon.\n26036,2017/09/18,\"I talked to Rylee, Eva for 28 minutes in the late afternoon.\",\"I talked to Rylee, Eva for 28 minutes in the late afternoon.\"\n26037,2017/09/18,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n26038,2017/09/18,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n26039,2017/09/19,I did swimming on 2017/09/19.,I did swimming on 2017/09/19.\n26040,2017/09/19,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n26041,2017/09/19,\"I had fish and chips for lunch with Nevaeh, Hazel, Piper, Olivia, Rylee, Lydia, Claire, Piper, Nora\",\"I had fish and chips for lunch with Nevaeh, Hazel, Piper, Olivia, Rylee, Lydia, Claire, Piper, Nora\"\n26042,2017/09/19,\"I had tacos for dinner with Emily, Carter, Kayden, Andrew\",\"I had tacos for dinner with Emily, Carter, Kayden, Andrew\"\n26043,2017/09/19,\"I spent 48 talking to Piper, Rylee, Lydia, Claire on various topics late in the evening.\",\"I spent 48 talking to Piper, Rylee, Lydia, Claire on various topics late in the evening.\"\n26044,2017/09/19,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n26045,2017/09/19,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n26046,2017/09/20,I did biking on 2017/09/20.,I did biking on 2017/09/20.\n26047,2017/09/20,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n26048,2017/09/20,I prepare steak for lunch.,I prepare steak for lunch.\n26049,2017/09/20,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n26050,2017/09/20,\"I talked to Piper, Hazel, Claire for 22 minutes in the early afternoon.\",\"I talked to Piper, Hazel, Claire for 22 minutes in the early afternoon.\"\n26051,2017/09/20,\"I spent 37 talking to Claire, Eva, Rylee on various topics in the early evening.\",\"I spent 37 talking to Claire, Eva, Rylee on various topics in the early evening.\"\n26052,2017/09/20,I spent 38 talking to Nora on various topics in the late afternoon.,I spent 38 talking to Nora on various topics in the late afternoon.\n26053,2017/09/20,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n26054,2017/09/20,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n26055,2017/09/21,\"I bought some apples, orange juice, mango juice, toilet paper, body lotion online.\",\"I bought some apples, orange juice, mango juice, toilet paper, body lotion online.\"\n26056,2017/09/21,I did HIIT on 2017/09/21.,I did HIIT on 2017/09/21.\n26057,2017/09/21,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n26058,2017/09/21,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n26059,2017/09/21,I prepare sushi for dinner.,I prepare sushi for dinner.\n26060,2017/09/21,I spent 12 talking to Rylee on various topics in the late afternoon.,I spent 12 talking to Rylee on various topics in the late afternoon.\n26061,2017/09/21,\"I talked to Piper, Lydia, Layla, Piper for 52 minutes late in the evening.\",\"I talked to Piper, Lydia, Layla, Piper for 52 minutes late in the evening.\"\n26062,2017/09/21,\"I spent 37 talking to Hazel, Rylee, Layla on various topics late in the evening.\",\"I spent 37 talking to Hazel, Rylee, Layla on various topics late in the evening.\"\n26063,2017/09/21,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n26064,2017/09/21,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n26065,2017/09/22,\"On 2017/09/22, I took David on a date to a restaurant\",\"On 2017/09/22, I took David on a date to a restaurant\"\n26066,2017/09/22,I did running on 2017/09/22.,I did running on 2017/09/22.\n26067,2017/09/22,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n26068,2017/09/22,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n26069,2017/09/22,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n26070,2017/09/22,\"I talked to Layla, Kinsley, Rylee, Claire for 51 minutes in the morning.\",\"I talked to Layla, Kinsley, Rylee, Claire for 51 minutes in the morning.\"\n26071,2017/09/22,\"I talked to Avery, Olivia, Eva, Kinsley for 40 minutes in the early afternoon.\",\"I talked to Avery, Olivia, Eva, Kinsley for 40 minutes in the early afternoon.\"\n26072,2017/09/22,I spent 26 talking to Avery on various topics in the late afternoon.,I spent 26 talking to Avery on various topics in the late afternoon.\n26073,2017/09/22,\"I talked to Avery, Piper, Kinsley, Rylee for 51 minutes in the late afternoon.\",\"I talked to Avery, Piper, Kinsley, Rylee for 51 minutes in the late afternoon.\"\n26074,2017/09/22,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n26075,2017/09/22,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n26076,2017/09/23,I did swimming on 2017/09/23.,I did swimming on 2017/09/23.\n26077,2017/09/23,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n26078,2017/09/23,\"I had sushi for lunch with Carter, Andrew\",\"I had sushi for lunch with Carter, Andrew\"\n26079,2017/09/23,I had dinner with Carter. I ate indian food.,I had dinner with Carter. I ate indian food.\n26080,2017/09/23,I spent 49 talking to Nora on various topics late in the evening.,I spent 49 talking to Nora on various topics late in the evening.\n26081,2017/09/23,\"I spent 37 talking to Claire, Piper, Hazel, Piper on various topics in the late afternoon.\",\"I spent 37 talking to Claire, Piper, Hazel, Piper on various topics in the late afternoon.\"\n26082,2017/09/23,I spent 11 talking to Eva on various topics during lunch hours.,I spent 11 talking to Eva on various topics during lunch hours.\n26083,2017/09/23,I talked to Lydia for 9 minutes in the morning.,I talked to Lydia for 9 minutes in the morning.\n26084,2017/09/23,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n26085,2017/09/23,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n26086,2017/09/24,I did swimming on 2017/09/24.,I did swimming on 2017/09/24.\n26087,2017/09/24,\"I had oatmeal for breakfast with Hazel, Piper, Lydia, Olivia, Claire\",\"I had oatmeal for breakfast with Hazel, Piper, Lydia, Olivia, Claire\"\n26088,2017/09/24,I prepare steak for lunch.,I prepare steak for lunch.\n26089,2017/09/24,\"I had fish and chips for dinner with Piper, Piper, Hazel, Layla, Kinsley, Avery\",\"I had fish and chips for dinner with Piper, Piper, Hazel, Layla, Kinsley, Avery\"\n26090,2017/09/24,\"I spent 53 talking to Piper, Nora, Avery, Hazel on various topics late in the evening.\",\"I spent 53 talking to Piper, Nora, Avery, Hazel on various topics late in the evening.\"\n26091,2017/09/24,\"I spent 33 talking to Rylee, Hazel, Piper, Claire on various topics late in the evening.\",\"I spent 33 talking to Rylee, Hazel, Piper, Claire on various topics late in the evening.\"\n26092,2017/09/24,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n26093,2017/09/24,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n26094,2017/09/25,I did hiking on 2017/09/25.,I did hiking on 2017/09/25.\n26095,2017/09/25,\"I had breakfast with Emily, Carter, Andrew, Kayden. I ate toast and cheese.\",\"I had breakfast with Emily, Carter, Andrew, Kayden. I ate toast and cheese.\"\n26096,2017/09/25,\"I had lunch with Nora, Eva, Hazel, Nevaeh, Claire, Olivia, Piper, Rylee. I ate fish and chips.\",\"I had lunch with Nora, Eva, Hazel, Nevaeh, Claire, Olivia, Piper, Rylee. I ate fish and chips.\"\n26097,2017/09/25,\"I had dinner with Andrew, Emily. I ate tacos.\",\"I had dinner with Andrew, Emily. I ate tacos.\"\n26098,2017/09/25,\"I spent 35 talking to Olivia, Nora, Kinsley on various topics in the morning.\",\"I spent 35 talking to Olivia, Nora, Kinsley on various topics in the morning.\"\n26099,2017/09/25,\"I talked to Avery, Nora, Hazel for 6 minutes late in the evening.\",\"I talked to Avery, Nora, Hazel for 6 minutes late in the evening.\"\n26100,2017/09/25,\"I talked to Layla, Nevaeh, Eva, Rylee for 52 minutes in the late afternoon.\",\"I talked to Layla, Nevaeh, Eva, Rylee for 52 minutes in the late afternoon.\"\n26101,2017/09/25,\"I spent 35 talking to Piper, Lydia on various topics in the early evening.\",\"I spent 35 talking to Piper, Lydia on various topics in the early evening.\"\n26102,2017/09/25,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n26103,2017/09/25,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n26104,2017/09/26,I went on a date with Elias on 2017/09/26 at a restaurant,I went on a date with Elias on 2017/09/26 at a restaurant\n26105,2017/09/26,\"I went grocery shopping. I bought some pineapples, raspberries, oranges, pineapple juice, mango juice, and paper towel\",\"I went grocery shopping. I bought some pineapples, raspberries, oranges, pineapple juice, mango juice, and paper towel\"\n26106,2017/09/26,I did HIIT on 2017/09/26.,I did HIIT on 2017/09/26.\n26107,2017/09/26,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n26108,2017/09/26,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n26109,2017/09/26,I ate chinese food for dinner.,I ate chinese food for dinner.\n26110,2017/09/26,\"I spent 31 talking to Nora, Nevaeh, Piper on various topics in the morning.\",\"I spent 31 talking to Nora, Nevaeh, Piper on various topics in the morning.\"\n26111,2017/09/26,\"I spent 39 talking to Avery, Nora, Piper on various topics in the morning.\",\"I spent 39 talking to Avery, Nora, Piper on various topics in the morning.\"\n26112,2017/09/26,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n26113,2017/09/26,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n26114,2017/09/27,I did weight lifting on 2017/09/27.,I did weight lifting on 2017/09/27.\n26115,2017/09/27,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n26116,2017/09/27,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n26117,2017/09/27,I ate a burger for dinner.,I ate a burger for dinner.\n26118,2017/09/27,\"I spent 47 talking to Nora, Olivia, Piper on various topics in the late afternoon.\",\"I spent 47 talking to Nora, Olivia, Piper on various topics in the late afternoon.\"\n26119,2017/09/27,\"I spent 11 talking to Hazel, Avery on various topics in the late afternoon.\",\"I spent 11 talking to Hazel, Avery on various topics in the late afternoon.\"\n26120,2017/09/27,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n26121,2017/09/27,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n26122,2017/09/28,I really enjoyed meditation on 2017/09/28,I really enjoyed meditation on 2017/09/28\n26123,2017/09/28,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n26124,2017/09/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n26125,2017/09/28,I ate pasta for dinner.,I ate pasta for dinner.\n26126,2017/09/28,\"I talked to Claire, Kinsley, Layla for 46 minutes in the late afternoon.\",\"I talked to Claire, Kinsley, Layla for 46 minutes in the late afternoon.\"\n26127,2017/09/28,\"I spent 30 talking to Hazel, Nora, Piper on various topics during lunch hours.\",\"I spent 30 talking to Hazel, Nora, Piper on various topics during lunch hours.\"\n26128,2017/09/28,\"I spent 19 talking to Piper, Hazel, Piper on various topics late in the evening.\",\"I spent 19 talking to Piper, Hazel, Piper on various topics late in the evening.\"\n26129,2017/09/28,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n26130,2017/09/28,I spent 15 minutes watching a documentary on TV today.,I spent 15 minutes watching a documentary on TV today.\n26131,2017/09/29,I did swimming on 2017/09/29.,I did swimming on 2017/09/29.\n26132,2017/09/29,\"I had cereals for breakfast with Claire, Avery, Nevaeh, Kinsley, Eva\",\"I had cereals for breakfast with Claire, Avery, Nevaeh, Kinsley, Eva\"\n26133,2017/09/29,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n26134,2017/09/29,\"I had fish and chips for dinner with Nora, Eva, Piper, Avery, Kinsley, Piper, Rylee, Nevaeh\",\"I had fish and chips for dinner with Nora, Eva, Piper, Avery, Kinsley, Piper, Rylee, Nevaeh\"\n26135,2017/09/29,\"I talked to Avery, Layla for 29 minutes in the morning.\",\"I talked to Avery, Layla for 29 minutes in the morning.\"\n26136,2017/09/29,\"I talked to Hazel, Lydia, Olivia, Eva for 45 minutes during lunch hours.\",\"I talked to Hazel, Lydia, Olivia, Eva for 45 minutes during lunch hours.\"\n26137,2017/09/29,I spent 23 talking to Layla on various topics in the late afternoon.,I spent 23 talking to Layla on various topics in the late afternoon.\n26138,2017/09/29,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n26139,2017/09/29,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n26140,2017/09/30,\"I bought some blackberries, pineapple juice, mouthwash online.\",\"I bought some blackberries, pineapple juice, mouthwash online.\"\n26141,2017/09/30,I did biking on 2017/09/30.,I did biking on 2017/09/30.\n26142,2017/09/30,I had breakfast with Emily. I ate peanut-butter-jam.,I had breakfast with Emily. I ate peanut-butter-jam.\n26143,2017/09/30,I had sushi for lunch with Willow,I had sushi for lunch with Willow\n26144,2017/09/30,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n26145,2017/09/30,\"I spent 49 talking to Rylee, Piper on various topics late in the evening.\",\"I spent 49 talking to Rylee, Piper on various topics late in the evening.\"\n26146,2017/09/30,\"I talked to Claire, Layla, Lydia, Kinsley for 30 minutes during lunch hours.\",\"I talked to Claire, Layla, Lydia, Kinsley for 30 minutes during lunch hours.\"\n26147,2017/09/30,I spent 13 talking to Lydia on various topics in the early afternoon.,I spent 13 talking to Lydia on various topics in the early afternoon.\n26148,2017/09/30,\"I talked to Olivia, Piper for 24 minutes in the early afternoon.\",\"I talked to Olivia, Piper for 24 minutes in the early afternoon.\"\n26149,2017/09/30,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n26150,2017/09/30,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n26151,2017/10/01,\"I bought some blueberries, peaches, blackberries, strawberries, pineapple juice, guava juice, mango juice, shampoo, conditioner, paper towel, toothbrush online.\",\"I bought some blueberries, peaches, blackberries, strawberries, pineapple juice, guava juice, mango juice, shampoo, conditioner, paper towel, toothbrush online.\"\n26152,2017/10/01,I did running on 2017/10/01.,I did running on 2017/10/01.\n26153,2017/10/01,\"I had breakfast with Nora, Layla, Claire, Kinsley, Nevaeh, Piper, Piper, Olivia, Hazel, Lydia, Eva. I ate cereals.\",\"I had breakfast with Nora, Layla, Claire, Kinsley, Nevaeh, Piper, Piper, Olivia, Hazel, Lydia, Eva. I ate cereals.\"\n26154,2017/10/01,I ate sushi for lunch.,I ate sushi for lunch.\n26155,2017/10/01,\"I had dinner with Emily, Andrew, Kayden. I ate chinese food.\",\"I had dinner with Emily, Andrew, Kayden. I ate chinese food.\"\n26156,2017/10/01,I talked to Claire for 32 minutes in the early evening.,I talked to Claire for 32 minutes in the early evening.\n26157,2017/10/01,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n26158,2017/10/01,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n26159,2017/10/02,I did running on 2017/10/02.,I did running on 2017/10/02.\n26160,2017/10/02,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n26161,2017/10/02,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n26162,2017/10/02,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n26163,2017/10/02,I spent 39 talking to Layla on various topics during lunch hours.,I spent 39 talking to Layla on various topics during lunch hours.\n26164,2017/10/02,\"I spent 23 talking to Olivia, Nevaeh on various topics in the early evening.\",\"I spent 23 talking to Olivia, Nevaeh on various topics in the early evening.\"\n26165,2017/10/02,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n26166,2017/10/02,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n26167,2017/10/03,\"I was cooking shrimp quesadilla, cream of celery soup recipe, chicken and gravy on 2017/10/03 with Avery, Jackson at my place\",\"I was cooking shrimp quesadilla, cream of celery soup recipe, chicken and gravy on 2017/10/03 with Avery, Jackson at my place\"\n26168,2017/10/03,I did HIIT on 2017/10/03.,I did HIIT on 2017/10/03.\n26169,2017/10/03,\"I had peanut-butter-jam for breakfast with Jackson, Avery, Benjamin\",\"I had peanut-butter-jam for breakfast with Jackson, Avery, Benjamin\"\n26170,2017/10/03,I had lunch with Andrew. I ate a burger.,I had lunch with Andrew. I ate a burger.\n26171,2017/10/03,\"I had dinner with Carter, Andrew, Emily. I ate fish and chips.\",\"I had dinner with Carter, Andrew, Emily. I ate fish and chips.\"\n26172,2017/10/03,\"I spent 44 talking to Nevaeh, Lydia, Piper, Claire on various topics in the late afternoon.\",\"I spent 44 talking to Nevaeh, Lydia, Piper, Claire on various topics in the late afternoon.\"\n26173,2017/10/03,\"I spent 7 talking to Kinsley, Piper, Piper on various topics in the morning.\",\"I spent 7 talking to Kinsley, Piper, Piper on various topics in the morning.\"\n26174,2017/10/03,I spent 51 talking to Piper on various topics in the early afternoon.,I spent 51 talking to Piper on various topics in the early afternoon.\n26175,2017/10/03,\"I spent 13 talking to Piper, Layla, Olivia, Lydia on various topics in the early evening.\",\"I spent 13 talking to Piper, Layla, Olivia, Lydia on various topics in the early evening.\"\n26176,2017/10/03,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n26177,2017/10/03,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n26178,2017/10/04,I did weight lifting on 2017/10/04.,I did weight lifting on 2017/10/04.\n26179,2017/10/04,\"I had breakfast with Kayden, Carter, Andrew. I ate toast and cheese.\",\"I had breakfast with Kayden, Carter, Andrew. I ate toast and cheese.\"\n26180,2017/10/04,\"I had a burger for lunch with Kinsley, Nevaeh, Avery, Piper, Piper\",\"I had a burger for lunch with Kinsley, Nevaeh, Avery, Piper, Piper\"\n26181,2017/10/04,\"I had dinner with Emily, Kayden, Carter. I ate pasta.\",\"I had dinner with Emily, Kayden, Carter. I ate pasta.\"\n26182,2017/10/04,\"I talked to Claire, Piper, Nora, Olivia for 6 minutes in the early evening.\",\"I talked to Claire, Piper, Nora, Olivia for 6 minutes in the early evening.\"\n26183,2017/10/04,\"I spent 28 talking to Nora, Piper, Rylee, Hazel on various topics late in the evening.\",\"I spent 28 talking to Nora, Piper, Rylee, Hazel on various topics late in the evening.\"\n26184,2017/10/04,I spent 35 talking to Piper on various topics in the early evening.,I spent 35 talking to Piper on various topics in the early evening.\n26185,2017/10/04,I talked to Layla for 19 minutes in the early afternoon.,I talked to Layla for 19 minutes in the early afternoon.\n26186,2017/10/04,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n26187,2017/10/04,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n26188,2017/10/05,\"I went grocery shopping with Jackson, Benjamin. I bought some oranges, sports drinks, tea, and shampoo, toilet paper\",\"I went grocery shopping with Jackson, Benjamin. I bought some oranges, sports drinks, tea, and shampoo, toilet paper\"\n26189,2017/10/05,I did HIIT on 2017/10/05.,I did HIIT on 2017/10/05.\n26190,2017/10/05,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n26191,2017/10/05,I ate sushi for lunch.,I ate sushi for lunch.\n26192,2017/10/05,I had dinner with Emily. I ate a burger.,I had dinner with Emily. I ate a burger.\n26193,2017/10/05,\"I talked to Lydia, Eva, Rylee for 18 minutes in the early afternoon.\",\"I talked to Lydia, Eva, Rylee for 18 minutes in the early afternoon.\"\n26194,2017/10/05,\"I spent 24 talking to Rylee, Avery, Claire on various topics in the morning.\",\"I spent 24 talking to Rylee, Avery, Claire on various topics in the morning.\"\n26195,2017/10/05,I talked to Piper for 24 minutes in the morning.,I talked to Piper for 24 minutes in the morning.\n26196,2017/10/05,I talked to Olivia for 47 minutes late in the evening.,I talked to Olivia for 47 minutes late in the evening.\n26197,2017/10/05,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n26198,2017/10/05,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n26199,2017/10/06,I did weight lifting on 2017/10/06.,I did weight lifting on 2017/10/06.\n26200,2017/10/06,I had breakfast with Emily. I ate toast and cheese.,I had breakfast with Emily. I ate toast and cheese.\n26201,2017/10/06,I ate tacos for lunch.,I ate tacos for lunch.\n26202,2017/10/06,\"I had dinner with Claire, Piper, Piper, Olivia, Kinsley, Hazel, Avery, Lydia. I ate pasta.\",\"I had dinner with Claire, Piper, Piper, Olivia, Kinsley, Hazel, Avery, Lydia. I ate pasta.\"\n26203,2017/10/06,I spent 20 talking to Rylee on various topics late in the evening.,I spent 20 talking to Rylee on various topics late in the evening.\n26204,2017/10/06,\"I spent 43 talking to Claire, Avery, Nora on various topics late in the evening.\",\"I spent 43 talking to Claire, Avery, Nora on various topics late in the evening.\"\n26205,2017/10/06,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n26206,2017/10/06,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n26207,2017/10/07,\"On 2017/10/07, I took Quinn on a date to a park\",\"On 2017/10/07, I took Quinn on a date to a park\"\n26208,2017/10/07,I did weight lifting on 2017/10/07.,I did weight lifting on 2017/10/07.\n26209,2017/10/07,\"I had breakfast with Emily, Andrew, Carter. I ate toast and cheese.\",\"I had breakfast with Emily, Andrew, Carter. I ate toast and cheese.\"\n26210,2017/10/07,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n26211,2017/10/07,I prepare tacos for dinner.,I prepare tacos for dinner.\n26212,2017/10/07,I talked to Avery for 52 minutes during lunch hours.,I talked to Avery for 52 minutes during lunch hours.\n26213,2017/10/07,\"I talked to Hazel, Piper, Layla, Avery for 26 minutes in the early evening.\",\"I talked to Hazel, Piper, Layla, Avery for 26 minutes in the early evening.\"\n26214,2017/10/07,\"I spent 37 talking to Hazel, Piper on various topics late in the evening.\",\"I spent 37 talking to Hazel, Piper on various topics late in the evening.\"\n26215,2017/10/07,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n26216,2017/10/07,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n26217,2017/10/08,\"I went grocery shopping. I bought some cherres, pears, mango juice, and conditioner, body lotion\",\"I went grocery shopping. I bought some cherres, pears, mango juice, and conditioner, body lotion\"\n26218,2017/10/08,I did running on 2017/10/08.,I did running on 2017/10/08.\n26219,2017/10/08,\"I had breakfast with Benjamin, Jackson, Willow, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Jackson, Willow, Avery. I ate peanut-butter-jam.\"\n26220,2017/10/08,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n26221,2017/10/08,I ate sushi for dinner.,I ate sushi for dinner.\n26222,2017/10/08,\"I talked to Piper, Avery, Nora, Piper for 38 minutes during lunch hours.\",\"I talked to Piper, Avery, Nora, Piper for 38 minutes during lunch hours.\"\n26223,2017/10/08,\"I talked to Claire, Rylee, Eva for 40 minutes in the late afternoon.\",\"I talked to Claire, Rylee, Eva for 40 minutes in the late afternoon.\"\n26224,2017/10/08,\"I talked to Layla, Claire, Rylee for 26 minutes in the early evening.\",\"I talked to Layla, Claire, Rylee for 26 minutes in the early evening.\"\n26225,2017/10/08,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n26226,2017/10/08,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n26227,2017/10/09,I did swimming on 2017/10/09.,I did swimming on 2017/10/09.\n26228,2017/10/09,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n26229,2017/10/09,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n26230,2017/10/09,\"I had dinner with Kayden, Carter, Andrew, Emily. I ate fish and chips.\",\"I had dinner with Kayden, Carter, Andrew, Emily. I ate fish and chips.\"\n26231,2017/10/09,I talked to Rylee for 54 minutes in the early afternoon.,I talked to Rylee for 54 minutes in the early afternoon.\n26232,2017/10/09,I spent 29 talking to Kinsley on various topics in the early afternoon.,I spent 29 talking to Kinsley on various topics in the early afternoon.\n26233,2017/10/09,\"I spent 34 talking to Nora, Piper, Hazel on various topics in the early afternoon.\",\"I spent 34 talking to Nora, Piper, Hazel on various topics in the early afternoon.\"\n26234,2017/10/09,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n26235,2017/10/09,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n26236,2017/10/10,I did weight lifting on 2017/10/10.,I did weight lifting on 2017/10/10.\n26237,2017/10/10,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n26238,2017/10/10,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n26239,2017/10/10,I prepare sushi for dinner.,I prepare sushi for dinner.\n26240,2017/10/10,\"I talked to Rylee, Layla, Olivia, Kinsley for 11 minutes late in the evening.\",\"I talked to Rylee, Layla, Olivia, Kinsley for 11 minutes late in the evening.\"\n26241,2017/10/10,I spent 36 talking to Olivia on various topics in the late afternoon.,I spent 36 talking to Olivia on various topics in the late afternoon.\n26242,2017/10/10,\"I spent 51 talking to Kinsley, Claire, Layla on various topics in the early evening.\",\"I spent 51 talking to Kinsley, Claire, Layla on various topics in the early evening.\"\n26243,2017/10/10,I talked to Piper for 18 minutes in the late afternoon.,I talked to Piper for 18 minutes in the late afternoon.\n26244,2017/10/10,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n26245,2017/10/10,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n26246,2017/10/11,\"I bought some mangos, bananas, blueberries, pears, mango juice, shaving cream from the grocery store. I saw Emily, Andrew, Carter, Kayden at the grocery store.\",\"I bought some mangos, bananas, blueberries, pears, mango juice, shaving cream from the grocery store. I saw Emily, Andrew, Carter, Kayden at the grocery store.\"\n26247,2017/10/11,I did biking on 2017/10/11.,I did biking on 2017/10/11.\n26248,2017/10/11,\"I had cereals for breakfast with Rylee, Kinsley, Piper, Nora, Hazel, Nevaeh, Olivia, Piper, Lydia, Eva\",\"I had cereals for breakfast with Rylee, Kinsley, Piper, Nora, Hazel, Nevaeh, Olivia, Piper, Lydia, Eva\"\n26249,2017/10/11,\"I had sandwich for lunch with Eva, Piper, Piper, Hazel\",\"I had sandwich for lunch with Eva, Piper, Piper, Hazel\"\n26250,2017/10/11,\"I had sandwich for dinner with Lydia, Nevaeh\",\"I had sandwich for dinner with Lydia, Nevaeh\"\n26251,2017/10/11,\"I talked to Olivia, Piper, Kinsley, Layla for 23 minutes in the early afternoon.\",\"I talked to Olivia, Piper, Kinsley, Layla for 23 minutes in the early afternoon.\"\n26252,2017/10/11,I spent 32 talking to Lydia on various topics in the late afternoon.,I spent 32 talking to Lydia on various topics in the late afternoon.\n26253,2017/10/11,I spent 51 talking to Claire on various topics late in the evening.,I spent 51 talking to Claire on various topics late in the evening.\n26254,2017/10/11,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n26255,2017/10/11,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n26256,2017/10/12,I did swimming on 2017/10/12.,I did swimming on 2017/10/12.\n26257,2017/10/12,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n26258,2017/10/12,\"I had sushi for lunch with Nora, Nevaeh, Olivia, Lydia, Rylee, Avery, Eva, Claire, Hazel, Piper\",\"I had sushi for lunch with Nora, Nevaeh, Olivia, Lydia, Rylee, Avery, Eva, Claire, Hazel, Piper\"\n26259,2017/10/12,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n26260,2017/10/12,\"I spent 50 talking to Kinsley, Layla, Nevaeh on various topics in the early afternoon.\",\"I spent 50 talking to Kinsley, Layla, Nevaeh on various topics in the early afternoon.\"\n26261,2017/10/12,I talked to Nora for 30 minutes late in the evening.,I talked to Nora for 30 minutes late in the evening.\n26262,2017/10/12,\"I talked to Hazel, Claire for 21 minutes in the early evening.\",\"I talked to Hazel, Claire for 21 minutes in the early evening.\"\n26263,2017/10/12,\"I spent 32 talking to Olivia, Kinsley, Eva, Avery on various topics in the morning.\",\"I spent 32 talking to Olivia, Kinsley, Eva, Avery on various topics in the morning.\"\n26264,2017/10/12,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n26265,2017/10/12,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n26266,2017/10/13,I spent some time gardening on 2017/10/13.,I spent some time gardening on 2017/10/13.\n26267,2017/10/13,I did hiking on 2017/10/13.,I did hiking on 2017/10/13.\n26268,2017/10/13,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n26269,2017/10/13,I had lunch with Jackson. I ate sandwich.,I had lunch with Jackson. I ate sandwich.\n26270,2017/10/13,I prepare tacos for dinner.,I prepare tacos for dinner.\n26271,2017/10/13,I talked to Lydia for 17 minutes in the late afternoon.,I talked to Lydia for 17 minutes in the late afternoon.\n26272,2017/10/13,\"I talked to Lydia, Piper, Kinsley, Avery for 48 minutes late in the evening.\",\"I talked to Lydia, Piper, Kinsley, Avery for 48 minutes late in the evening.\"\n26273,2017/10/13,\"I spent 6 talking to Rylee, Piper, Kinsley, Nevaeh on various topics late in the evening.\",\"I spent 6 talking to Rylee, Piper, Kinsley, Nevaeh on various topics late in the evening.\"\n26274,2017/10/13,\"I talked to Layla, Nora, Kinsley for 5 minutes during lunch hours.\",\"I talked to Layla, Nora, Kinsley for 5 minutes during lunch hours.\"\n26275,2017/10/13,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n26276,2017/10/13,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n26277,2017/10/14,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n26278,2017/10/14,I ate a burger for lunch.,I ate a burger for lunch.\n26279,2017/10/14,I ate steak for dinner.,I ate steak for dinner.\n26280,2017/10/14,\"I spent 34 talking to Hazel, Kinsley, Piper, Olivia on various topics in the morning.\",\"I spent 34 talking to Hazel, Kinsley, Piper, Olivia on various topics in the morning.\"\n26281,2017/10/14,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n26282,2017/10/14,I spent 48 minutes watching a documentary on TV today.,I spent 48 minutes watching a documentary on TV today.\n26283,2017/10/15,\"On 2017/10/15, I took Luna on a date to a boba shop\",\"On 2017/10/15, I took Luna on a date to a boba shop\"\n26284,2017/10/15,\"I bought some blueberries, apple juice, toilet paper, toothpaste online.\",\"I bought some blueberries, apple juice, toilet paper, toothpaste online.\"\n26285,2017/10/15,I did HIIT on 2017/10/15.,I did HIIT on 2017/10/15.\n26286,2017/10/15,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n26287,2017/10/15,I had lunch with Jackson. I ate fish and chips.,I had lunch with Jackson. I ate fish and chips.\n26288,2017/10/15,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n26289,2017/10/15,\"I spent 34 talking to Layla, Rylee on various topics in the early evening.\",\"I spent 34 talking to Layla, Rylee on various topics in the early evening.\"\n26290,2017/10/15,\"I talked to Nora, Nevaeh, Piper, Rylee for 34 minutes in the early evening.\",\"I talked to Nora, Nevaeh, Piper, Rylee for 34 minutes in the early evening.\"\n26291,2017/10/15,\"I talked to Eva, Kinsley, Hazel, Rylee for 36 minutes in the late afternoon.\",\"I talked to Eva, Kinsley, Hazel, Rylee for 36 minutes in the late afternoon.\"\n26292,2017/10/15,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n26293,2017/10/15,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n26294,2017/10/16,I did running on 2017/10/16.,I did running on 2017/10/16.\n26295,2017/10/16,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n26296,2017/10/16,I ate a burger for lunch.,I ate a burger for lunch.\n26297,2017/10/16,\"I had dinner with Jackson, Avery. I ate steak.\",\"I had dinner with Jackson, Avery. I ate steak.\"\n26298,2017/10/16,I talked to Layla for 25 minutes late in the evening.,I talked to Layla for 25 minutes late in the evening.\n26299,2017/10/16,\"I talked to Nora, Olivia, Nevaeh for 49 minutes in the early afternoon.\",\"I talked to Nora, Olivia, Nevaeh for 49 minutes in the early afternoon.\"\n26300,2017/10/16,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n26301,2017/10/16,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n26302,2017/10/17,\"I had toast and cheese for breakfast with Hazel, Claire, Eva, Rylee, Avery, Piper, Layla, Nora\",\"I had toast and cheese for breakfast with Hazel, Claire, Eva, Rylee, Avery, Piper, Layla, Nora\"\n26303,2017/10/17,\"I had pasta for lunch with Andrew, Emily, Carter, Kayden\",\"I had pasta for lunch with Andrew, Emily, Carter, Kayden\"\n26304,2017/10/17,I ate sandwich for dinner.,I ate sandwich for dinner.\n26305,2017/10/17,\"I talked to Eva, Rylee, Piper, Olivia for 26 minutes in the early evening.\",\"I talked to Eva, Rylee, Piper, Olivia for 26 minutes in the early evening.\"\n26306,2017/10/17,I spent 46 talking to Piper on various topics in the early afternoon.,I spent 46 talking to Piper on various topics in the early afternoon.\n26307,2017/10/17,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n26308,2017/10/17,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n26309,2017/10/18,I did HIIT on 2017/10/18.,I did HIIT on 2017/10/18.\n26310,2017/10/18,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n26311,2017/10/18,\"I had sandwich for lunch with Kayden, Emily, Andrew, Carter\",\"I had sandwich for lunch with Kayden, Emily, Andrew, Carter\"\n26312,2017/10/18,I had tacos for dinner with Emily,I had tacos for dinner with Emily\n26313,2017/10/18,I talked to Layla for 9 minutes during lunch hours.,I talked to Layla for 9 minutes during lunch hours.\n26314,2017/10/18,\"I spent 9 talking to Avery, Eva on various topics late in the evening.\",\"I spent 9 talking to Avery, Eva on various topics late in the evening.\"\n26315,2017/10/18,\"I spent 41 talking to Hazel, Piper, Claire, Nora on various topics late in the evening.\",\"I spent 41 talking to Hazel, Piper, Claire, Nora on various topics late in the evening.\"\n26316,2017/10/18,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n26317,2017/10/18,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n26318,2017/10/19,I went on a date with Owen on 2017/10/19 at a coffee Shop,I went on a date with Owen on 2017/10/19 at a coffee Shop\n26319,2017/10/19,I really enjoyed working out on 2017/10/19,I really enjoyed working out on 2017/10/19\n26320,2017/10/19,I did biking on 2017/10/19.,I did biking on 2017/10/19.\n26321,2017/10/19,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n26322,2017/10/19,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n26323,2017/10/19,I prepare indian food for dinner.,I prepare indian food for dinner.\n26324,2017/10/19,\"I spent 41 talking to Piper, Avery on various topics during lunch hours.\",\"I spent 41 talking to Piper, Avery on various topics during lunch hours.\"\n26325,2017/10/19,\"I talked to Kinsley, Nora, Piper for 43 minutes in the late afternoon.\",\"I talked to Kinsley, Nora, Piper for 43 minutes in the late afternoon.\"\n26326,2017/10/19,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n26327,2017/10/19,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n26328,2017/10/20,\"I went grocery shopping with Andrew, Carter, Kayden. I bought some clementines, chocolate milk, and mouthwash, shampoo\",\"I went grocery shopping with Andrew, Carter, Kayden. I bought some clementines, chocolate milk, and mouthwash, shampoo\"\n26329,2017/10/20,I did weight lifting on 2017/10/20.,I did weight lifting on 2017/10/20.\n26330,2017/10/20,I had breakfast with Andrew. I ate pancakes.,I had breakfast with Andrew. I ate pancakes.\n26331,2017/10/20,I ate pasta for lunch.,I ate pasta for lunch.\n26332,2017/10/20,I prepare tacos for dinner.,I prepare tacos for dinner.\n26333,2017/10/20,I spent 43 talking to Claire on various topics in the early afternoon.,I spent 43 talking to Claire on various topics in the early afternoon.\n26334,2017/10/20,I talked to Nora for 43 minutes in the early afternoon.,I talked to Nora for 43 minutes in the early afternoon.\n26335,2017/10/20,\"I spent 40 talking to Kinsley, Piper, Olivia on various topics in the early evening.\",\"I spent 40 talking to Kinsley, Piper, Olivia on various topics in the early evening.\"\n26336,2017/10/20,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n26337,2017/10/20,I spent 17 minutes watching a tv series on TV today.,I spent 17 minutes watching a tv series on TV today.\n26338,2017/10/21,I did HIIT on 2017/10/21.,I did HIIT on 2017/10/21.\n26339,2017/10/21,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n26340,2017/10/21,I had lunch. I ate steak.,I had lunch. I ate steak.\n26341,2017/10/21,I had dinner. I ate steak.,I had dinner. I ate steak.\n26342,2017/10/21,I spent 11 talking to Kinsley on various topics during lunch hours.,I spent 11 talking to Kinsley on various topics during lunch hours.\n26343,2017/10/21,I spent 38 talking to Olivia on various topics in the early evening.,I spent 38 talking to Olivia on various topics in the early evening.\n26344,2017/10/21,I spent 10 talking to Olivia on various topics in the early evening.,I spent 10 talking to Olivia on various topics in the early evening.\n26345,2017/10/21,I talked to Hazel for 24 minutes in the early afternoon.,I talked to Hazel for 24 minutes in the early afternoon.\n26346,2017/10/21,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n26347,2017/10/21,I watched a documentary for 41 minutes on TV today.,I watched a documentary for 41 minutes on TV today.\n26348,2017/10/22,I spent time learning a language on 2017/10/22 with Nevaeh.,I spent time learning a language on 2017/10/22 with Nevaeh.\n26349,2017/10/22,\"I went grocery shopping. I bought some mandarins, peaches, pineapple juice, tea, and body lotion\",\"I went grocery shopping. I bought some mandarins, peaches, pineapple juice, tea, and body lotion\"\n26350,2017/10/22,I did running on 2017/10/22.,I did running on 2017/10/22.\n26351,2017/10/22,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n26352,2017/10/22,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n26353,2017/10/22,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n26354,2017/10/22,I spent 52 talking to Piper on various topics in the late afternoon.,I spent 52 talking to Piper on various topics in the late afternoon.\n26355,2017/10/22,\"I spent 38 talking to Claire, Olivia, Rylee on various topics in the early evening.\",\"I spent 38 talking to Claire, Olivia, Rylee on various topics in the early evening.\"\n26356,2017/10/22,\"I talked to Avery, Lydia for 25 minutes in the morning.\",\"I talked to Avery, Lydia for 25 minutes in the morning.\"\n26357,2017/10/22,\"I talked to Piper, Olivia, Claire for 46 minutes in the early afternoon.\",\"I talked to Piper, Olivia, Claire for 46 minutes in the early afternoon.\"\n26358,2017/10/22,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n26359,2017/10/22,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n26360,2017/10/23,I did HIIT on 2017/10/23.,I did HIIT on 2017/10/23.\n26361,2017/10/23,\"I had breakfast with Benjamin, Avery, Willow, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Avery, Willow, Jackson. I ate peanut-butter-jam.\"\n26362,2017/10/23,\"I had lunch with Andrew, Kayden, Carter. I ate fish and chips.\",\"I had lunch with Andrew, Kayden, Carter. I ate fish and chips.\"\n26363,2017/10/23,I ate a burger for dinner.,I ate a burger for dinner.\n26364,2017/10/23,\"I talked to Lydia, Nevaeh, Hazel, Piper for 29 minutes in the early afternoon.\",\"I talked to Lydia, Nevaeh, Hazel, Piper for 29 minutes in the early afternoon.\"\n26365,2017/10/23,I talked to Piper for 35 minutes in the late afternoon.,I talked to Piper for 35 minutes in the late afternoon.\n26366,2017/10/23,I talked to Lydia for 53 minutes in the early afternoon.,I talked to Lydia for 53 minutes in the early afternoon.\n26367,2017/10/23,\"I talked to Piper, Kinsley for 9 minutes in the early evening.\",\"I talked to Piper, Kinsley for 9 minutes in the early evening.\"\n26368,2017/10/23,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n26369,2017/10/23,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n26370,2017/10/24,\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate eggs, sausages, and bread.\"\n26371,2017/10/24,I ate sandwich for lunch.,I ate sandwich for lunch.\n26372,2017/10/24,I ate tacos for dinner.,I ate tacos for dinner.\n26373,2017/10/24,\"I talked to Olivia, Rylee for 5 minutes during lunch hours.\",\"I talked to Olivia, Rylee for 5 minutes during lunch hours.\"\n26374,2017/10/24,I talked to Piper for 51 minutes late in the evening.,I talked to Piper for 51 minutes late in the evening.\n26375,2017/10/24,\"I talked to Claire, Nora, Hazel, Layla for 52 minutes in the early evening.\",\"I talked to Claire, Nora, Hazel, Layla for 52 minutes in the early evening.\"\n26376,2017/10/24,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n26377,2017/10/24,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n26378,2017/10/25,\"I spent time yoga on 2017/10/25 with Hazel, Nora.\",\"I spent time yoga on 2017/10/25 with Hazel, Nora.\"\n26379,2017/10/25,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n26380,2017/10/25,\"I had pasta for lunch with Avery, Jackson, Benjamin, Willow\",\"I had pasta for lunch with Avery, Jackson, Benjamin, Willow\"\n26381,2017/10/25,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n26382,2017/10/25,I spent 51 talking to Piper on various topics during lunch hours.,I spent 51 talking to Piper on various topics during lunch hours.\n26383,2017/10/25,\"I spent 15 talking to Kinsley, Claire, Nora, Lydia on various topics in the late afternoon.\",\"I spent 15 talking to Kinsley, Claire, Nora, Lydia on various topics in the late afternoon.\"\n26384,2017/10/25,I spent 50 minutes on a book today.,I spent 50 minutes on a book today.\n26385,2017/10/25,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n26386,2017/10/26,\"I went grocery shopping with Claire, Avery, Hazel, Kinsley, Lydia, Olivia, Piper, Eva, Nevaeh, Layla. I bought some blackberries, oranges, mandarins, pineapple juice, tea, soda, and mouthwash, paper towel, conditioner\",\"I went grocery shopping with Claire, Avery, Hazel, Kinsley, Lydia, Olivia, Piper, Eva, Nevaeh, Layla. I bought some blackberries, oranges, mandarins, pineapple juice, tea, soda, and mouthwash, paper towel, conditioner\"\n26387,2017/10/26,I did hiking on 2017/10/26.,I did hiking on 2017/10/26.\n26388,2017/10/26,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n26389,2017/10/26,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n26390,2017/10/26,\"I had dinner with Eva, Nora. I ate steak.\",\"I had dinner with Eva, Nora. I ate steak.\"\n26391,2017/10/26,\"I talked to Hazel, Layla, Claire for 37 minutes in the early afternoon.\",\"I talked to Hazel, Layla, Claire for 37 minutes in the early afternoon.\"\n26392,2017/10/26,I talked to Hazel for 22 minutes in the morning.,I talked to Hazel for 22 minutes in the morning.\n26393,2017/10/26,\"I spent 54 talking to Eva, Rylee on various topics in the early evening.\",\"I spent 54 talking to Eva, Rylee on various topics in the early evening.\"\n26394,2017/10/26,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n26395,2017/10/26,I watched a tv series for 16 minutes on TV today.,I watched a tv series for 16 minutes on TV today.\n26396,2017/10/27,I did HIIT on 2017/10/27.,I did HIIT on 2017/10/27.\n26397,2017/10/27,I had pancakes for breakfast with Piper,I had pancakes for breakfast with Piper\n26398,2017/10/27,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n26399,2017/10/27,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n26400,2017/10/27,\"I spent 23 talking to Lydia, Olivia, Nora, Eva on various topics in the late afternoon.\",\"I spent 23 talking to Lydia, Olivia, Nora, Eva on various topics in the late afternoon.\"\n26401,2017/10/27,\"I talked to Avery, Claire for 9 minutes in the early evening.\",\"I talked to Avery, Claire for 9 minutes in the early evening.\"\n26402,2017/10/27,\"I talked to Claire, Avery, Nevaeh, Piper for 34 minutes in the late afternoon.\",\"I talked to Claire, Avery, Nevaeh, Piper for 34 minutes in the late afternoon.\"\n26403,2017/10/27,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n26404,2017/10/27,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n26405,2017/10/28,I did swimming on 2017/10/28.,I did swimming on 2017/10/28.\n26406,2017/10/28,\"I had breakfast with Benjamin, Avery, Willow. I ate toast and cheese.\",\"I had breakfast with Benjamin, Avery, Willow. I ate toast and cheese.\"\n26407,2017/10/28,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n26408,2017/10/28,I ate chinese food for dinner.,I ate chinese food for dinner.\n26409,2017/10/28,\"I talked to Nevaeh, Piper for 27 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper for 27 minutes in the early afternoon.\"\n26410,2017/10/28,\"I spent 39 talking to Hazel, Nevaeh, Piper, Layla on various topics in the early afternoon.\",\"I spent 39 talking to Hazel, Nevaeh, Piper, Layla on various topics in the early afternoon.\"\n26411,2017/10/28,\"I spent 53 talking to Avery, Piper, Olivia on various topics in the morning.\",\"I spent 53 talking to Avery, Piper, Olivia on various topics in the morning.\"\n26412,2017/10/28,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n26413,2017/10/28,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n26414,2017/10/29,I went on a date with Robert on 2017/10/29 at a boba shop,I went on a date with Robert on 2017/10/29 at a boba shop\n26415,2017/10/29,\"I bought some peaches, bananas, nectarines, pineapples, chocolate milk, pineapple juice, facial wash, conditioner online.\",\"I bought some peaches, bananas, nectarines, pineapples, chocolate milk, pineapple juice, facial wash, conditioner online.\"\n26416,2017/10/29,I did hiking on 2017/10/29.,I did hiking on 2017/10/29.\n26417,2017/10/29,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n26418,2017/10/29,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n26419,2017/10/29,I ate sushi for dinner.,I ate sushi for dinner.\n26420,2017/10/29,\"I spent 37 talking to Nora, Avery, Eva on various topics in the early afternoon.\",\"I spent 37 talking to Nora, Avery, Eva on various topics in the early afternoon.\"\n26421,2017/10/29,I spent 25 talking to Piper on various topics in the late afternoon.,I spent 25 talking to Piper on various topics in the late afternoon.\n26422,2017/10/29,\"I spent 41 talking to Nevaeh, Hazel, Eva on various topics during lunch hours.\",\"I spent 41 talking to Nevaeh, Hazel, Eva on various topics during lunch hours.\"\n26423,2017/10/29,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n26424,2017/10/29,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n26425,2017/10/30,I did running on 2017/10/30.,I did running on 2017/10/30.\n26426,2017/10/30,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n26427,2017/10/30,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n26428,2017/10/30,I prepare pasta for dinner.,I prepare pasta for dinner.\n26429,2017/10/30,\"I spent 28 talking to Nevaeh, Lydia, Rylee on various topics late in the evening.\",\"I spent 28 talking to Nevaeh, Lydia, Rylee on various topics late in the evening.\"\n26430,2017/10/30,\"I spent 19 talking to Avery, Piper on various topics late in the evening.\",\"I spent 19 talking to Avery, Piper on various topics late in the evening.\"\n26431,2017/10/30,\"I spent 18 talking to Avery, Claire, Rylee on various topics in the morning.\",\"I spent 18 talking to Avery, Claire, Rylee on various topics in the morning.\"\n26432,2017/10/30,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n26433,2017/10/30,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n26434,2017/10/31,I did swimming on 2017/10/31.,I did swimming on 2017/10/31.\n26435,2017/10/31,\"I had toast and cheese for breakfast with Emily, Andrew\",\"I had toast and cheese for breakfast with Emily, Andrew\"\n26436,2017/10/31,\"I had indian food for lunch with Emily, Carter, Kayden\",\"I had indian food for lunch with Emily, Carter, Kayden\"\n26437,2017/10/31,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n26438,2017/10/31,\"I talked to Olivia, Avery for 36 minutes late in the evening.\",\"I talked to Olivia, Avery for 36 minutes late in the evening.\"\n26439,2017/10/31,I spent 53 talking to Lydia on various topics late in the evening.,I spent 53 talking to Lydia on various topics late in the evening.\n26440,2017/10/31,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n26441,2017/10/31,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n26442,2017/11/01,I did hiking on 2017/11/01.,I did hiking on 2017/11/01.\n26443,2017/11/01,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n26444,2017/11/01,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n26445,2017/11/01,I ate a burger for dinner.,I ate a burger for dinner.\n26446,2017/11/01,\"I spent 22 talking to Eva, Kinsley, Piper, Lydia on various topics in the morning.\",\"I spent 22 talking to Eva, Kinsley, Piper, Lydia on various topics in the morning.\"\n26447,2017/11/01,I talked to Eva for 22 minutes late in the evening.,I talked to Eva for 22 minutes late in the evening.\n26448,2017/11/01,\"I talked to Rylee, Kinsley for 12 minutes in the early evening.\",\"I talked to Rylee, Kinsley for 12 minutes in the early evening.\"\n26449,2017/11/01,\"I talked to Olivia, Piper for 45 minutes late in the evening.\",\"I talked to Olivia, Piper for 45 minutes late in the evening.\"\n26450,2017/11/01,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n26451,2017/11/01,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n26452,2017/11/02,I did HIIT on 2017/11/02.,I did HIIT on 2017/11/02.\n26453,2017/11/02,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n26454,2017/11/02,I had lunch with Jackson. I ate steak.,I had lunch with Jackson. I ate steak.\n26455,2017/11/02,\"I had dinner with Jackson, Willow, Avery. I ate a burger.\",\"I had dinner with Jackson, Willow, Avery. I ate a burger.\"\n26456,2017/11/02,\"I spent 7 talking to Avery, Claire on various topics in the early evening.\",\"I spent 7 talking to Avery, Claire on various topics in the early evening.\"\n26457,2017/11/02,\"I spent 47 talking to Rylee, Layla, Claire, Nora on various topics in the early evening.\",\"I spent 47 talking to Rylee, Layla, Claire, Nora on various topics in the early evening.\"\n26458,2017/11/02,\"I talked to Layla, Piper, Nora for 48 minutes during lunch hours.\",\"I talked to Layla, Piper, Nora for 48 minutes during lunch hours.\"\n26459,2017/11/02,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n26460,2017/11/02,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n26461,2017/11/03,I went on a date with Elena on 2017/11/03 at a restaurant,I went on a date with Elena on 2017/11/03 at a restaurant\n26462,2017/11/03,\"I went grocery shopping. I bought some bananas, sports drinks, and toothbrush, mouth wash\",\"I went grocery shopping. I bought some bananas, sports drinks, and toothbrush, mouth wash\"\n26463,2017/11/03,I did swimming on 2017/11/03.,I did swimming on 2017/11/03.\n26464,2017/11/03,\"I had breakfast with Willow, Jackson, Benjamin. I ate peanut-butter-jam.\",\"I had breakfast with Willow, Jackson, Benjamin. I ate peanut-butter-jam.\"\n26465,2017/11/03,I had lunch with Willow. I ate tacos.,I had lunch with Willow. I ate tacos.\n26466,2017/11/03,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n26467,2017/11/03,\"I talked to Olivia, Hazel, Piper, Eva for 19 minutes in the late afternoon.\",\"I talked to Olivia, Hazel, Piper, Eva for 19 minutes in the late afternoon.\"\n26468,2017/11/03,\"I talked to Olivia, Layla, Eva for 54 minutes late in the evening.\",\"I talked to Olivia, Layla, Eva for 54 minutes late in the evening.\"\n26469,2017/11/03,I talked to Nora for 40 minutes in the early evening.,I talked to Nora for 40 minutes in the early evening.\n26470,2017/11/03,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n26471,2017/11/03,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n26472,2017/11/04,I did HIIT on 2017/11/04.,I did HIIT on 2017/11/04.\n26473,2017/11/04,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n26474,2017/11/04,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n26475,2017/11/04,\"I had dinner with Emily, Andrew, Kayden, Carter. I ate steak.\",\"I had dinner with Emily, Andrew, Kayden, Carter. I ate steak.\"\n26476,2017/11/04,\"I spent 49 talking to Lydia, Layla, Avery, Hazel on various topics in the early afternoon.\",\"I spent 49 talking to Lydia, Layla, Avery, Hazel on various topics in the early afternoon.\"\n26477,2017/11/04,\"I spent 37 talking to Kinsley, Eva, Claire, Olivia on various topics in the early evening.\",\"I spent 37 talking to Kinsley, Eva, Claire, Olivia on various topics in the early evening.\"\n26478,2017/11/04,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n26479,2017/11/04,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n26480,2017/11/05,I did HIIT on 2017/11/05.,I did HIIT on 2017/11/05.\n26481,2017/11/05,\"I had breakfast with Eva, Hazel, Avery, Piper, Nevaeh, Olivia, Kinsley, Claire, Layla. I ate eggs, sausages, and bread.\",\"I had breakfast with Eva, Hazel, Avery, Piper, Nevaeh, Olivia, Kinsley, Claire, Layla. I ate eggs, sausages, and bread.\"\n26482,2017/11/05,\"I had chinese food for lunch with Avery, Lydia, Nora, Layla, Eva, Rylee, Kinsley, Claire, Olivia, Piper\",\"I had chinese food for lunch with Avery, Lydia, Nora, Layla, Eva, Rylee, Kinsley, Claire, Olivia, Piper\"\n26483,2017/11/05,I prepare a burger for dinner.,I prepare a burger for dinner.\n26484,2017/11/05,I spent 49 talking to Nevaeh on various topics during lunch hours.,I spent 49 talking to Nevaeh on various topics during lunch hours.\n26485,2017/11/05,I spent 21 talking to Nora on various topics in the morning.,I spent 21 talking to Nora on various topics in the morning.\n26486,2017/11/05,I spent 40 talking to Olivia on various topics in the early afternoon.,I spent 40 talking to Olivia on various topics in the early afternoon.\n26487,2017/11/05,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n26488,2017/11/05,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n26489,2017/11/06,\"I bought some mandarins, strawberries, mangos, guava juice, mineral water, sports drinks, conditioner, shaving cream, mouthwash, toothpaste from the grocery store. I saw Avery, Jackson at the grocery store.\",\"I bought some mandarins, strawberries, mangos, guava juice, mineral water, sports drinks, conditioner, shaving cream, mouthwash, toothpaste from the grocery store. I saw Avery, Jackson at the grocery store.\"\n26490,2017/11/06,I did hiking on 2017/11/06.,I did hiking on 2017/11/06.\n26491,2017/11/06,\"I had peanut-butter-jam for breakfast with Kayden, Emily, Andrew, Carter\",\"I had peanut-butter-jam for breakfast with Kayden, Emily, Andrew, Carter\"\n26492,2017/11/06,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n26493,2017/11/06,I ate tacos for dinner.,I ate tacos for dinner.\n26494,2017/11/06,\"I spent 46 talking to Olivia, Lydia on various topics in the early afternoon.\",\"I spent 46 talking to Olivia, Lydia on various topics in the early afternoon.\"\n26495,2017/11/06,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n26496,2017/11/06,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n26497,2017/11/07,I did running on 2017/11/07.,I did running on 2017/11/07.\n26498,2017/11/07,I ate cereals for breakfast.,I ate cereals for breakfast.\n26499,2017/11/07,I ate chinese food for lunch.,I ate chinese food for lunch.\n26500,2017/11/07,\"I had dinner with Rylee, Hazel, Piper. I ate steak.\",\"I had dinner with Rylee, Hazel, Piper. I ate steak.\"\n26501,2017/11/07,\"I spent 47 talking to Olivia, Kinsley on various topics in the early afternoon.\",\"I spent 47 talking to Olivia, Kinsley on various topics in the early afternoon.\"\n26502,2017/11/07,\"I spent 54 talking to Olivia, Nora, Lydia, Hazel on various topics in the morning.\",\"I spent 54 talking to Olivia, Nora, Lydia, Hazel on various topics in the morning.\"\n26503,2017/11/07,\"I talked to Nevaeh, Lydia, Claire, Kinsley for 13 minutes late in the evening.\",\"I talked to Nevaeh, Lydia, Claire, Kinsley for 13 minutes late in the evening.\"\n26504,2017/11/07,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n26505,2017/11/07,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n26506,2017/11/08,I did HIIT on 2017/11/08.,I did HIIT on 2017/11/08.\n26507,2017/11/08,\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate peanut-butter-jam.\"\n26508,2017/11/08,\"I had lunch with Carter, Emily, Kayden, Andrew. I ate chinese food.\",\"I had lunch with Carter, Emily, Kayden, Andrew. I ate chinese food.\"\n26509,2017/11/08,I had sushi for dinner with Benjamin,I had sushi for dinner with Benjamin\n26510,2017/11/08,\"I talked to Olivia, Rylee, Claire for 9 minutes in the late afternoon.\",\"I talked to Olivia, Rylee, Claire for 9 minutes in the late afternoon.\"\n26511,2017/11/08,\"I talked to Lydia, Piper, Rylee, Olivia for 5 minutes in the early afternoon.\",\"I talked to Lydia, Piper, Rylee, Olivia for 5 minutes in the early afternoon.\"\n26512,2017/11/08,\"I talked to Hazel, Avery, Claire, Piper for 33 minutes in the late afternoon.\",\"I talked to Hazel, Avery, Claire, Piper for 33 minutes in the late afternoon.\"\n26513,2017/11/08,\"I spent 42 talking to Claire, Nora on various topics during lunch hours.\",\"I spent 42 talking to Claire, Nora on various topics during lunch hours.\"\n26514,2017/11/08,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n26515,2017/11/08,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n26516,2017/11/09,I did hiking on 2017/11/09.,I did hiking on 2017/11/09.\n26517,2017/11/09,\"I had toast and cheese for breakfast with Rylee, Kinsley, Eva, Lydia\",\"I had toast and cheese for breakfast with Rylee, Kinsley, Eva, Lydia\"\n26518,2017/11/09,\"I had lunch with Kayden, Carter, Emily. I ate chinese food.\",\"I had lunch with Kayden, Carter, Emily. I ate chinese food.\"\n26519,2017/11/09,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n26520,2017/11/09,I spent 27 talking to Layla on various topics in the early evening.,I spent 27 talking to Layla on various topics in the early evening.\n26521,2017/11/09,\"I talked to Layla, Olivia for 55 minutes late in the evening.\",\"I talked to Layla, Olivia for 55 minutes late in the evening.\"\n26522,2017/11/09,\"I talked to Nora, Layla, Eva, Kinsley for 31 minutes late in the evening.\",\"I talked to Nora, Layla, Eva, Kinsley for 31 minutes late in the evening.\"\n26523,2017/11/09,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n26524,2017/11/09,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n26525,2017/11/10,I did HIIT on 2017/11/10.,I did HIIT on 2017/11/10.\n26526,2017/11/10,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n26527,2017/11/10,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n26528,2017/11/10,I prepare tacos for dinner.,I prepare tacos for dinner.\n26529,2017/11/10,\"I spent 13 talking to Lydia, Hazel, Olivia, Piper on various topics late in the evening.\",\"I spent 13 talking to Lydia, Hazel, Olivia, Piper on various topics late in the evening.\"\n26530,2017/11/10,\"I talked to Eva, Hazel, Avery, Piper for 9 minutes in the late afternoon.\",\"I talked to Eva, Hazel, Avery, Piper for 9 minutes in the late afternoon.\"\n26531,2017/11/10,\"I spent 21 talking to Nora, Hazel, Lydia on various topics in the morning.\",\"I spent 21 talking to Nora, Hazel, Lydia on various topics in the morning.\"\n26532,2017/11/10,\"I talked to Lydia, Eva, Kinsley for 28 minutes in the early evening.\",\"I talked to Lydia, Eva, Kinsley for 28 minutes in the early evening.\"\n26533,2017/11/10,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n26534,2017/11/10,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n26535,2017/11/11,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n26536,2017/11/11,\"I had lunch with Emily, Andrew. I ate indian food.\",\"I had lunch with Emily, Andrew. I ate indian food.\"\n26537,2017/11/11,I prepare indian food for dinner.,I prepare indian food for dinner.\n26538,2017/11/11,\"I spent 17 talking to Nora, Layla, Claire on various topics in the early afternoon.\",\"I spent 17 talking to Nora, Layla, Claire on various topics in the early afternoon.\"\n26539,2017/11/11,\"I spent 21 talking to Eva, Claire on various topics in the late afternoon.\",\"I spent 21 talking to Eva, Claire on various topics in the late afternoon.\"\n26540,2017/11/11,\"I spent 47 talking to Layla, Kinsley, Rylee, Nevaeh on various topics in the late afternoon.\",\"I spent 47 talking to Layla, Kinsley, Rylee, Nevaeh on various topics in the late afternoon.\"\n26541,2017/11/11,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n26542,2017/11/11,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n26543,2017/11/12,I did biking on 2017/11/12.,I did biking on 2017/11/12.\n26544,2017/11/12,\"I had breakfast with Emily, Kayden, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Kayden, Andrew. I ate peanut-butter-jam.\"\n26545,2017/11/12,\"I had fish and chips for lunch with Piper, Nevaeh, Piper, Claire, Avery, Nora, Lydia, Kinsley, Hazel\",\"I had fish and chips for lunch with Piper, Nevaeh, Piper, Claire, Avery, Nora, Lydia, Kinsley, Hazel\"\n26546,2017/11/12,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n26547,2017/11/12,\"I talked to Piper, Lydia, Claire, Hazel for 24 minutes in the morning.\",\"I talked to Piper, Lydia, Claire, Hazel for 24 minutes in the morning.\"\n26548,2017/11/12,\"I spent 19 talking to Hazel, Lydia on various topics in the early afternoon.\",\"I spent 19 talking to Hazel, Lydia on various topics in the early afternoon.\"\n26549,2017/11/12,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n26550,2017/11/12,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n26551,2017/11/13,I went for an annual dental cleaning and checkup on 2017/11/13 at the hospital.,I went for an annual dental cleaning and checkup on 2017/11/13 at the hospital.\n26552,2017/11/13,\"I bought some blueberries, pineapple juice, guava juice, paper towel, toothpaste from the grocery store. I saw Kayden at the grocery store.\",\"I bought some blueberries, pineapple juice, guava juice, paper towel, toothpaste from the grocery store. I saw Kayden at the grocery store.\"\n26553,2017/11/13,I did biking on 2017/11/13.,I did biking on 2017/11/13.\n26554,2017/11/13,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n26555,2017/11/13,I ate steak for lunch.,I ate steak for lunch.\n26556,2017/11/13,I ate sushi for dinner.,I ate sushi for dinner.\n26557,2017/11/13,\"I talked to Nora, Eva, Olivia for 18 minutes during lunch hours.\",\"I talked to Nora, Eva, Olivia for 18 minutes during lunch hours.\"\n26558,2017/11/13,\"I spent 50 talking to Lydia, Olivia on various topics in the early afternoon.\",\"I spent 50 talking to Lydia, Olivia on various topics in the early afternoon.\"\n26559,2017/11/13,\"I talked to Kinsley, Nora for 6 minutes in the late afternoon.\",\"I talked to Kinsley, Nora for 6 minutes in the late afternoon.\"\n26560,2017/11/13,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n26561,2017/11/13,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n26562,2017/11/14,I took my parents for their for an annual physical checkup on 2017/11/14 at the private clinic.,I took my parents for their for an annual physical checkup on 2017/11/14 at the private clinic.\n26563,2017/11/14,I did swimming on 2017/11/14.,I did swimming on 2017/11/14.\n26564,2017/11/14,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n26565,2017/11/14,\"I had sushi for lunch with Willow, Avery\",\"I had sushi for lunch with Willow, Avery\"\n26566,2017/11/14,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n26567,2017/11/14,\"I talked to Nora, Eva, Kinsley, Avery for 37 minutes in the early afternoon.\",\"I talked to Nora, Eva, Kinsley, Avery for 37 minutes in the early afternoon.\"\n26568,2017/11/14,\"I spent 38 talking to Layla, Kinsley on various topics in the late afternoon.\",\"I spent 38 talking to Layla, Kinsley on various topics in the late afternoon.\"\n26569,2017/11/14,\"I spent 16 talking to Piper, Olivia, Rylee on various topics late in the evening.\",\"I spent 16 talking to Piper, Olivia, Rylee on various topics late in the evening.\"\n26570,2017/11/14,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n26571,2017/11/14,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n26572,2017/11/15,\"I went grocery shopping with Andrew. I bought some blueberries, guava, apricots, mango juice, guava juice, tea, and conditioner, body lotion, facial wash, shaving cream\",\"I went grocery shopping with Andrew. I bought some blueberries, guava, apricots, mango juice, guava juice, tea, and conditioner, body lotion, facial wash, shaving cream\"\n26573,2017/11/15,I did swimming on 2017/11/15.,I did swimming on 2017/11/15.\n26574,2017/11/15,I had toast and cheese for breakfast with Andrew,I had toast and cheese for breakfast with Andrew\n26575,2017/11/15,\"I had lunch with Emily, Carter, Andrew. I ate chinese food.\",\"I had lunch with Emily, Carter, Andrew. I ate chinese food.\"\n26576,2017/11/15,I ate sandwich for dinner.,I ate sandwich for dinner.\n26577,2017/11/15,\"I spent 31 talking to Hazel, Piper, Nora on various topics late in the evening.\",\"I spent 31 talking to Hazel, Piper, Nora on various topics late in the evening.\"\n26578,2017/11/15,\"I spent 29 talking to Nora, Kinsley, Eva on various topics in the late afternoon.\",\"I spent 29 talking to Nora, Kinsley, Eva on various topics in the late afternoon.\"\n26579,2017/11/15,I talked to Piper for 55 minutes late in the evening.,I talked to Piper for 55 minutes late in the evening.\n26580,2017/11/15,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n26581,2017/11/15,I watched a tv series for 51 minutes on TV today.,I watched a tv series for 51 minutes on TV today.\n26582,2017/11/16,I did weight lifting on 2017/11/16.,I did weight lifting on 2017/11/16.\n26583,2017/11/16,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n26584,2017/11/16,\"I had indian food for lunch with Carter, Andrew, Emily\",\"I had indian food for lunch with Carter, Andrew, Emily\"\n26585,2017/11/16,I had dinner with Eva. I ate tacos.,I had dinner with Eva. I ate tacos.\n26586,2017/11/16,\"I talked to Nora, Nevaeh, Avery, Olivia for 35 minutes late in the evening.\",\"I talked to Nora, Nevaeh, Avery, Olivia for 35 minutes late in the evening.\"\n26587,2017/11/16,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n26588,2017/11/16,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n26589,2017/11/17,I did HIIT on 2017/11/17.,I did HIIT on 2017/11/17.\n26590,2017/11/17,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n26591,2017/11/17,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n26592,2017/11/17,I ate pasta for dinner.,I ate pasta for dinner.\n26593,2017/11/17,I spent 48 talking to Eva on various topics late in the evening.,I spent 48 talking to Eva on various topics late in the evening.\n26594,2017/11/17,\"I spent 40 talking to Rylee, Claire, Kinsley on various topics during lunch hours.\",\"I spent 40 talking to Rylee, Claire, Kinsley on various topics during lunch hours.\"\n26595,2017/11/17,\"I talked to Lydia, Piper for 21 minutes in the early evening.\",\"I talked to Lydia, Piper for 21 minutes in the early evening.\"\n26596,2017/11/17,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n26597,2017/11/17,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n26598,2017/11/18,I went on a date with Avery on 2017/11/18 at a restaurant,I went on a date with Avery on 2017/11/18 at a restaurant\n26599,2017/11/18,\"I had breakfast with Andrew, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Kayden. I ate peanut-butter-jam.\"\n26600,2017/11/18,I had lunch. I ate steak.,I had lunch. I ate steak.\n26601,2017/11/18,I had dinner with Carter. I ate chinese food.,I had dinner with Carter. I ate chinese food.\n26602,2017/11/18,\"I talked to Layla, Claire, Hazel, Piper for 17 minutes in the morning.\",\"I talked to Layla, Claire, Hazel, Piper for 17 minutes in the morning.\"\n26603,2017/11/18,I spent 55 talking to Layla on various topics in the late afternoon.,I spent 55 talking to Layla on various topics in the late afternoon.\n26604,2017/11/18,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n26605,2017/11/18,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n26606,2017/11/19,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n26607,2017/11/19,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n26608,2017/11/19,\"I had dinner with Kayden, Carter, Emily. I ate steak.\",\"I had dinner with Kayden, Carter, Emily. I ate steak.\"\n26609,2017/11/19,I talked to Nevaeh for 12 minutes in the late afternoon.,I talked to Nevaeh for 12 minutes in the late afternoon.\n26610,2017/11/19,\"I spent 6 talking to Nora, Lydia, Piper, Claire on various topics in the early evening.\",\"I spent 6 talking to Nora, Lydia, Piper, Claire on various topics in the early evening.\"\n26611,2017/11/19,\"I spent 5 talking to Eva, Kinsley on various topics in the late afternoon.\",\"I spent 5 talking to Eva, Kinsley on various topics in the late afternoon.\"\n26612,2017/11/19,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n26613,2017/11/19,I spent 17 minutes watching a tv series on TV today.,I spent 17 minutes watching a tv series on TV today.\n26614,2017/11/20,\"I spent time learning a language on 2017/11/20 with Lydia, Piper, Piper.\",\"I spent time learning a language on 2017/11/20 with Lydia, Piper, Piper.\"\n26615,2017/11/20,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n26616,2017/11/20,I had indian food for lunch with Andrew,I had indian food for lunch with Andrew\n26617,2017/11/20,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n26618,2017/11/20,I talked to Nevaeh for 48 minutes in the early afternoon.,I talked to Nevaeh for 48 minutes in the early afternoon.\n26619,2017/11/20,\"I spent 11 talking to Eva, Claire, Avery on various topics late in the evening.\",\"I spent 11 talking to Eva, Claire, Avery on various topics late in the evening.\"\n26620,2017/11/20,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n26621,2017/11/20,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n26622,2017/11/21,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n26623,2017/11/21,\"I had chinese food for lunch with Layla, Lydia, Nora, Nevaeh, Hazel, Piper, Avery, Eva, Claire, Olivia, Kinsley, Rylee\",\"I had chinese food for lunch with Layla, Lydia, Nora, Nevaeh, Hazel, Piper, Avery, Eva, Claire, Olivia, Kinsley, Rylee\"\n26624,2017/11/21,I ate indian food for dinner.,I ate indian food for dinner.\n26625,2017/11/21,\"I spent 48 talking to Rylee, Piper, Claire, Piper on various topics in the late afternoon.\",\"I spent 48 talking to Rylee, Piper, Claire, Piper on various topics in the late afternoon.\"\n26626,2017/11/21,\"I spent 14 talking to Claire, Eva, Nevaeh on various topics in the late afternoon.\",\"I spent 14 talking to Claire, Eva, Nevaeh on various topics in the late afternoon.\"\n26627,2017/11/21,\"I spent 40 talking to Claire, Piper, Olivia on various topics in the early afternoon.\",\"I spent 40 talking to Claire, Piper, Olivia on various topics in the early afternoon.\"\n26628,2017/11/21,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n26629,2017/11/21,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n26630,2017/11/22,\"I bought some oranges, orange juice, apple juice, coffee, milk, facial wash, shaving cream from the grocery store. I saw Emily, Carter, Andrew at the grocery store.\",\"I bought some oranges, orange juice, apple juice, coffee, milk, facial wash, shaving cream from the grocery store. I saw Emily, Carter, Andrew at the grocery store.\"\n26631,2017/11/22,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n26632,2017/11/22,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n26633,2017/11/22,\"I had indian food for dinner with Kayden, Emily, Andrew\",\"I had indian food for dinner with Kayden, Emily, Andrew\"\n26634,2017/11/22,I talked to Claire for 29 minutes in the early evening.,I talked to Claire for 29 minutes in the early evening.\n26635,2017/11/22,\"I talked to Nora, Piper, Lydia for 24 minutes in the early afternoon.\",\"I talked to Nora, Piper, Lydia for 24 minutes in the early afternoon.\"\n26636,2017/11/22,\"I talked to Avery, Eva for 46 minutes late in the evening.\",\"I talked to Avery, Eva for 46 minutes late in the evening.\"\n26637,2017/11/22,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n26638,2017/11/22,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n26639,2017/11/23,\"On 2017/11/23, I took James on a date to a coffee Shop\",\"On 2017/11/23, I took James on a date to a coffee Shop\"\n26640,2017/11/23,I did biking on 2017/11/23.,I did biking on 2017/11/23.\n26641,2017/11/23,\"I had oatmeal for breakfast with Avery, Hazel, Rylee, Layla, Piper\",\"I had oatmeal for breakfast with Avery, Hazel, Rylee, Layla, Piper\"\n26642,2017/11/23,\"I had lunch with Willow, Jackson. I ate pasta.\",\"I had lunch with Willow, Jackson. I ate pasta.\"\n26643,2017/11/23,I ate steak for dinner.,I ate steak for dinner.\n26644,2017/11/23,I talked to Eva for 16 minutes during lunch hours.,I talked to Eva for 16 minutes during lunch hours.\n26645,2017/11/23,I talked to Rylee for 22 minutes late in the evening.,I talked to Rylee for 22 minutes late in the evening.\n26646,2017/11/23,\"I spent 49 talking to Hazel, Rylee, Nora on various topics in the early evening.\",\"I spent 49 talking to Hazel, Rylee, Nora on various topics in the early evening.\"\n26647,2017/11/23,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n26648,2017/11/23,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n26649,2017/11/24,\"I spent time learning a language on 2017/11/24 with Andrew, Emily.\",\"I spent time learning a language on 2017/11/24 with Andrew, Emily.\"\n26650,2017/11/24,I did weight lifting on 2017/11/24.,I did weight lifting on 2017/11/24.\n26651,2017/11/24,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n26652,2017/11/24,I ate pasta for lunch.,I ate pasta for lunch.\n26653,2017/11/24,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n26654,2017/11/24,\"I talked to Piper, Eva for 43 minutes in the morning.\",\"I talked to Piper, Eva for 43 minutes in the morning.\"\n26655,2017/11/24,I spent 30 talking to Rylee on various topics in the morning.,I spent 30 talking to Rylee on various topics in the morning.\n26656,2017/11/24,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n26657,2017/11/24,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n26658,2017/11/25,I did HIIT on 2017/11/25.,I did HIIT on 2017/11/25.\n26659,2017/11/25,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n26660,2017/11/25,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n26661,2017/11/25,I prepare a burger for dinner.,I prepare a burger for dinner.\n26662,2017/11/25,I spent 55 talking to Rylee on various topics in the morning.,I spent 55 talking to Rylee on various topics in the morning.\n26663,2017/11/25,\"I spent 44 talking to Olivia, Eva on various topics during lunch hours.\",\"I spent 44 talking to Olivia, Eva on various topics during lunch hours.\"\n26664,2017/11/25,\"I talked to Rylee, Avery, Olivia for 44 minutes in the early evening.\",\"I talked to Rylee, Avery, Olivia for 44 minutes in the early evening.\"\n26665,2017/11/25,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n26666,2017/11/25,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n26667,2017/11/26,I went on a date with Jade on 2017/11/26 at a park,I went on a date with Jade on 2017/11/26 at a park\n26668,2017/11/26,\"I went grocery shopping. I bought some mangos, clementines, bananas, peaches, guava juice, mango juice, and mouth wash, mouthwash, shampoo\",\"I went grocery shopping. I bought some mangos, clementines, bananas, peaches, guava juice, mango juice, and mouth wash, mouthwash, shampoo\"\n26669,2017/11/26,I did swimming on 2017/11/26.,I did swimming on 2017/11/26.\n26670,2017/11/26,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n26671,2017/11/26,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n26672,2017/11/26,\"I had dinner with Avery, Lydia, Claire, Layla, Nevaeh, Kinsley, Nora, Eva, Piper, Rylee, Olivia, Piper, Hazel. I ate sandwich.\",\"I had dinner with Avery, Lydia, Claire, Layla, Nevaeh, Kinsley, Nora, Eva, Piper, Rylee, Olivia, Piper, Hazel. I ate sandwich.\"\n26673,2017/11/26,\"I talked to Layla, Hazel, Piper, Rylee for 29 minutes in the morning.\",\"I talked to Layla, Hazel, Piper, Rylee for 29 minutes in the morning.\"\n26674,2017/11/26,\"I talked to Rylee, Hazel, Piper, Nevaeh for 25 minutes in the early afternoon.\",\"I talked to Rylee, Hazel, Piper, Nevaeh for 25 minutes in the early afternoon.\"\n26675,2017/11/26,\"I talked to Avery, Lydia for 7 minutes in the early afternoon.\",\"I talked to Avery, Lydia for 7 minutes in the early afternoon.\"\n26676,2017/11/26,I spent 12 talking to Kinsley on various topics in the late afternoon.,I spent 12 talking to Kinsley on various topics in the late afternoon.\n26677,2017/11/26,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n26678,2017/11/26,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n26679,2017/11/27,I really enjoyed baking gluten-free apple rose tart on 2017/11/27 with Olivia at my place,I really enjoyed baking gluten-free apple rose tart on 2017/11/27 with Olivia at my place\n26680,2017/11/27,I did swimming on 2017/11/27.,I did swimming on 2017/11/27.\n26681,2017/11/27,\"I had peanut-butter-jam for breakfast with Andrew, Carter\",\"I had peanut-butter-jam for breakfast with Andrew, Carter\"\n26682,2017/11/27,\"I had lunch with Avery, Nora, Claire, Rylee, Eva, Nevaeh, Hazel, Layla, Piper, Olivia, Piper, Kinsley. I ate steak.\",\"I had lunch with Avery, Nora, Claire, Rylee, Eva, Nevaeh, Hazel, Layla, Piper, Olivia, Piper, Kinsley. I ate steak.\"\n26683,2017/11/27,I had pasta for dinner with Carter,I had pasta for dinner with Carter\n26684,2017/11/27,\"I spent 14 talking to Claire, Kinsley on various topics in the early afternoon.\",\"I spent 14 talking to Claire, Kinsley on various topics in the early afternoon.\"\n26685,2017/11/27,\"I talked to Hazel, Rylee, Nora, Lydia for 23 minutes in the early afternoon.\",\"I talked to Hazel, Rylee, Nora, Lydia for 23 minutes in the early afternoon.\"\n26686,2017/11/27,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n26687,2017/11/27,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n26688,2017/11/28,I did HIIT on 2017/11/28.,I did HIIT on 2017/11/28.\n26689,2017/11/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n26690,2017/11/28,I prepare indian food for lunch.,I prepare indian food for lunch.\n26691,2017/11/28,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n26692,2017/11/28,I spent 21 talking to Claire on various topics in the late afternoon.,I spent 21 talking to Claire on various topics in the late afternoon.\n26693,2017/11/28,\"I talked to Olivia, Layla for 11 minutes in the morning.\",\"I talked to Olivia, Layla for 11 minutes in the morning.\"\n26694,2017/11/28,\"I talked to Avery, Lydia for 10 minutes in the late afternoon.\",\"I talked to Avery, Lydia for 10 minutes in the late afternoon.\"\n26695,2017/11/28,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n26696,2017/11/28,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n26697,2017/11/29,I did biking on 2017/11/29.,I did biking on 2017/11/29.\n26698,2017/11/29,\"I had breakfast with Avery, Willow, Jackson. I ate cereals.\",\"I had breakfast with Avery, Willow, Jackson. I ate cereals.\"\n26699,2017/11/29,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n26700,2017/11/29,I ate a burger for dinner.,I ate a burger for dinner.\n26701,2017/11/29,\"I talked to Nora, Rylee for 29 minutes late in the evening.\",\"I talked to Nora, Rylee for 29 minutes late in the evening.\"\n26702,2017/11/29,\"I spent 55 talking to Piper, Nora, Lydia on various topics in the morning.\",\"I spent 55 talking to Piper, Nora, Lydia on various topics in the morning.\"\n26703,2017/11/29,I talked to Lydia for 16 minutes late in the evening.,I talked to Lydia for 16 minutes late in the evening.\n26704,2017/11/29,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n26705,2017/11/29,I spent 41 minutes watching a movie on TV today.,I spent 41 minutes watching a movie on TV today.\n26706,2017/11/30,I went on a date with Audrey on 2017/11/30 at a park,I went on a date with Audrey on 2017/11/30 at a park\n26707,2017/11/30,I did running on 2017/11/30.,I did running on 2017/11/30.\n26708,2017/11/30,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n26709,2017/11/30,I ate tacos for lunch.,I ate tacos for lunch.\n26710,2017/11/30,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n26711,2017/11/30,\"I spent 6 talking to Olivia, Rylee, Layla, Kinsley on various topics late in the evening.\",\"I spent 6 talking to Olivia, Rylee, Layla, Kinsley on various topics late in the evening.\"\n26712,2017/11/30,\"I spent 8 talking to Avery, Nora on various topics in the early afternoon.\",\"I spent 8 talking to Avery, Nora on various topics in the early afternoon.\"\n26713,2017/11/30,\"I spent 26 talking to Nevaeh, Avery, Layla on various topics late in the evening.\",\"I spent 26 talking to Nevaeh, Avery, Layla on various topics late in the evening.\"\n26714,2017/11/30,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n26715,2017/11/30,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n26716,2017/12/01,\"I bought some pineapples, apricots, oranges, clementines, tea, mineral water, pineapple juice, paper towel, conditioner from the grocery store. I saw Piper, Nora, Claire, Olivia, Layla, Lydia at the grocery store.\",\"I bought some pineapples, apricots, oranges, clementines, tea, mineral water, pineapple juice, paper towel, conditioner from the grocery store. I saw Piper, Nora, Claire, Olivia, Layla, Lydia at the grocery store.\"\n26717,2017/12/01,I did biking on 2017/12/01.,I did biking on 2017/12/01.\n26718,2017/12/01,\"I had breakfast with Claire, Hazel, Eva, Nora, Olivia, Piper, Layla, Avery, Lydia, Kinsley, Piper, Rylee, Nevaeh. I ate pancakes.\",\"I had breakfast with Claire, Hazel, Eva, Nora, Olivia, Piper, Layla, Avery, Lydia, Kinsley, Piper, Rylee, Nevaeh. I ate pancakes.\"\n26719,2017/12/01,\"I had lunch with Carter, Kayden. I ate steak.\",\"I had lunch with Carter, Kayden. I ate steak.\"\n26720,2017/12/01,\"I had dinner with Rylee, Eva, Olivia, Lydia, Piper, Nevaeh. I ate indian food.\",\"I had dinner with Rylee, Eva, Olivia, Lydia, Piper, Nevaeh. I ate indian food.\"\n26721,2017/12/01,\"I spent 48 talking to Kinsley, Avery on various topics during lunch hours.\",\"I spent 48 talking to Kinsley, Avery on various topics during lunch hours.\"\n26722,2017/12/01,I talked to Nevaeh for 17 minutes in the early afternoon.,I talked to Nevaeh for 17 minutes in the early afternoon.\n26723,2017/12/01,\"I talked to Olivia, Piper for 54 minutes late in the evening.\",\"I talked to Olivia, Piper for 54 minutes late in the evening.\"\n26724,2017/12/01,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n26725,2017/12/01,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n26726,2017/12/02,I really enjoyed working out on 2017/12/02,I really enjoyed working out on 2017/12/02\n26727,2017/12/02,I did biking on 2017/12/02.,I did biking on 2017/12/02.\n26728,2017/12/02,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n26729,2017/12/02,I ate sushi for lunch.,I ate sushi for lunch.\n26730,2017/12/02,I prepare indian food for dinner.,I prepare indian food for dinner.\n26731,2017/12/02,\"I spent 44 talking to Piper, Piper on various topics during lunch hours.\",\"I spent 44 talking to Piper, Piper on various topics during lunch hours.\"\n26732,2017/12/02,\"I spent 25 talking to Avery, Eva, Piper, Nevaeh on various topics in the early evening.\",\"I spent 25 talking to Avery, Eva, Piper, Nevaeh on various topics in the early evening.\"\n26733,2017/12/02,\"I spent 22 talking to Lydia, Nevaeh, Claire, Hazel on various topics in the early evening.\",\"I spent 22 talking to Lydia, Nevaeh, Claire, Hazel on various topics in the early evening.\"\n26734,2017/12/02,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n26735,2017/12/02,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n26736,2017/12/03,\"I was cooking favorite chicken potpie on 2017/12/03 with Carter, Kayden, Emily, Andrew at my place\",\"I was cooking favorite chicken potpie on 2017/12/03 with Carter, Kayden, Emily, Andrew at my place\"\n26737,2017/12/03,\"I bought some raspberries, pears, cherres, apricots, mineral water, orange juice, conditioner, toilet paper, facial wash from the grocery store. I saw Emily, Carter, Kayden at the grocery store.\",\"I bought some raspberries, pears, cherres, apricots, mineral water, orange juice, conditioner, toilet paper, facial wash from the grocery store. I saw Emily, Carter, Kayden at the grocery store.\"\n26738,2017/12/03,I did running on 2017/12/03.,I did running on 2017/12/03.\n26739,2017/12/03,I ate cereals for breakfast.,I ate cereals for breakfast.\n26740,2017/12/03,\"I had fish and chips for lunch with Lydia, Nevaeh, Piper, Rylee, Layla, Eva, Hazel, Nora, Olivia\",\"I had fish and chips for lunch with Lydia, Nevaeh, Piper, Rylee, Layla, Eva, Hazel, Nora, Olivia\"\n26741,2017/12/03,\"I had dinner with Kayden, Andrew, Carter. I ate sandwich.\",\"I had dinner with Kayden, Andrew, Carter. I ate sandwich.\"\n26742,2017/12/03,\"I spent 31 talking to Avery, Kinsley, Lydia, Eva on various topics during lunch hours.\",\"I spent 31 talking to Avery, Kinsley, Lydia, Eva on various topics during lunch hours.\"\n26743,2017/12/03,\"I talked to Piper, Rylee for 25 minutes in the morning.\",\"I talked to Piper, Rylee for 25 minutes in the morning.\"\n26744,2017/12/03,\"I talked to Lydia, Piper, Hazel for 39 minutes in the early afternoon.\",\"I talked to Lydia, Piper, Hazel for 39 minutes in the early afternoon.\"\n26745,2017/12/03,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n26746,2017/12/03,I spent 30 minutes watching a movie on TV today.,I spent 30 minutes watching a movie on TV today.\n26747,2017/12/04,I did running on 2017/12/04.,I did running on 2017/12/04.\n26748,2017/12/04,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n26749,2017/12/04,\"I had sushi for lunch with Carter, Emily, Kayden\",\"I had sushi for lunch with Carter, Emily, Kayden\"\n26750,2017/12/04,\"I had a burger for dinner with Avery, Benjamin, Jackson, Willow\",\"I had a burger for dinner with Avery, Benjamin, Jackson, Willow\"\n26751,2017/12/04,I talked to Nora for 34 minutes in the early evening.,I talked to Nora for 34 minutes in the early evening.\n26752,2017/12/04,I spent 19 talking to Nevaeh on various topics in the late afternoon.,I spent 19 talking to Nevaeh on various topics in the late afternoon.\n26753,2017/12/04,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n26754,2017/12/04,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n26755,2017/12/05,I did hiking on 2017/12/05.,I did hiking on 2017/12/05.\n26756,2017/12/05,\"I had breakfast with Andrew, Emily, Carter. I ate oatmeal.\",\"I had breakfast with Andrew, Emily, Carter. I ate oatmeal.\"\n26757,2017/12/05,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n26758,2017/12/05,I ate sandwich for dinner.,I ate sandwich for dinner.\n26759,2017/12/05,I spent 29 talking to Avery on various topics during lunch hours.,I spent 29 talking to Avery on various topics during lunch hours.\n26760,2017/12/05,\"I spent 43 talking to Hazel, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 43 talking to Hazel, Piper, Nevaeh on various topics in the late afternoon.\"\n26761,2017/12/05,\"I spent 47 talking to Piper, Claire, Nevaeh on various topics in the morning.\",\"I spent 47 talking to Piper, Claire, Nevaeh on various topics in the morning.\"\n26762,2017/12/05,\"I spent 50 talking to Nora, Avery, Claire on various topics in the morning.\",\"I spent 50 talking to Nora, Avery, Claire on various topics in the morning.\"\n26763,2017/12/05,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n26764,2017/12/05,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n26765,2017/12/06,\"I was baking easy peanut butter fudge, brownies, easy chocolate marshmallow cups on 2017/12/06 with Lydia, Nevaeh at my place\",\"I was baking easy peanut butter fudge, brownies, easy chocolate marshmallow cups on 2017/12/06 with Lydia, Nevaeh at my place\"\n26766,2017/12/06,\"I bought some clementines, peaches, apricots, apple juice, orange juice, mineral water, tea, toothbrush, toothpaste online.\",\"I bought some clementines, peaches, apricots, apple juice, orange juice, mineral water, tea, toothbrush, toothpaste online.\"\n26767,2017/12/06,I did running on 2017/12/06.,I did running on 2017/12/06.\n26768,2017/12/06,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n26769,2017/12/06,I had lunch with Benjamin. I ate fish and chips.,I had lunch with Benjamin. I ate fish and chips.\n26770,2017/12/06,\"I had steak for dinner with Benjamin, Jackson\",\"I had steak for dinner with Benjamin, Jackson\"\n26771,2017/12/06,I talked to Layla for 52 minutes in the early evening.,I talked to Layla for 52 minutes in the early evening.\n26772,2017/12/06,\"I talked to Nevaeh, Eva for 53 minutes in the early evening.\",\"I talked to Nevaeh, Eva for 53 minutes in the early evening.\"\n26773,2017/12/06,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n26774,2017/12/06,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n26775,2017/12/07,I did running on 2017/12/07.,I did running on 2017/12/07.\n26776,2017/12/07,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n26777,2017/12/07,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n26778,2017/12/07,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n26779,2017/12/07,\"I spent 41 talking to Piper, Rylee, Nevaeh on various topics late in the evening.\",\"I spent 41 talking to Piper, Rylee, Nevaeh on various topics late in the evening.\"\n26780,2017/12/07,\"I talked to Nora, Layla for 43 minutes in the morning.\",\"I talked to Nora, Layla for 43 minutes in the morning.\"\n26781,2017/12/07,\"I talked to Kinsley, Hazel, Eva for 44 minutes in the early afternoon.\",\"I talked to Kinsley, Hazel, Eva for 44 minutes in the early afternoon.\"\n26782,2017/12/07,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n26783,2017/12/07,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n26784,2017/12/08,I did swimming on 2017/12/08.,I did swimming on 2017/12/08.\n26785,2017/12/08,\"I had breakfast with Emily, Kayden, Andrew. I ate pancakes.\",\"I had breakfast with Emily, Kayden, Andrew. I ate pancakes.\"\n26786,2017/12/08,I had lunch. I ate steak.,I had lunch. I ate steak.\n26787,2017/12/08,I ate a burger for dinner.,I ate a burger for dinner.\n26788,2017/12/08,\"I spent 39 talking to Hazel, Piper, Kinsley on various topics during lunch hours.\",\"I spent 39 talking to Hazel, Piper, Kinsley on various topics during lunch hours.\"\n26789,2017/12/08,\"I talked to Nora, Rylee, Kinsley for 11 minutes in the early evening.\",\"I talked to Nora, Rylee, Kinsley for 11 minutes in the early evening.\"\n26790,2017/12/08,I talked to Layla for 46 minutes in the early afternoon.,I talked to Layla for 46 minutes in the early afternoon.\n26791,2017/12/08,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n26792,2017/12/08,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n26793,2017/12/09,I went on a date with Ryan on 2017/12/09 at a boba shop,I went on a date with Ryan on 2017/12/09 at a boba shop\n26794,2017/12/09,I did HIIT on 2017/12/09.,I did HIIT on 2017/12/09.\n26795,2017/12/09,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n26796,2017/12/09,I ate tacos for lunch.,I ate tacos for lunch.\n26797,2017/12/09,\"I had a burger for dinner with Lydia, Eva, Kinsley, Nevaeh, Nora, Claire, Piper, Avery, Olivia\",\"I had a burger for dinner with Lydia, Eva, Kinsley, Nevaeh, Nora, Claire, Piper, Avery, Olivia\"\n26798,2017/12/09,\"I talked to Olivia, Eva for 7 minutes in the late afternoon.\",\"I talked to Olivia, Eva for 7 minutes in the late afternoon.\"\n26799,2017/12/09,\"I talked to Nora, Eva, Layla for 41 minutes in the late afternoon.\",\"I talked to Nora, Eva, Layla for 41 minutes in the late afternoon.\"\n26800,2017/12/09,\"I spent 18 talking to Kinsley, Avery, Nora, Lydia on various topics late in the evening.\",\"I spent 18 talking to Kinsley, Avery, Nora, Lydia on various topics late in the evening.\"\n26801,2017/12/09,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n26802,2017/12/09,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n26803,2017/12/10,\"I went grocery shopping. I bought some apricots, apples, mandarins, chocolate milk, soda, and paper towel, conditioner, shampoo\",\"I went grocery shopping. I bought some apricots, apples, mandarins, chocolate milk, soda, and paper towel, conditioner, shampoo\"\n26804,2017/12/10,I did biking on 2017/12/10.,I did biking on 2017/12/10.\n26805,2017/12/10,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n26806,2017/12/10,\"I had lunch with Emily, Kayden, Andrew. I ate sandwich.\",\"I had lunch with Emily, Kayden, Andrew. I ate sandwich.\"\n26807,2017/12/10,I had dinner with Carter. I ate chinese food.,I had dinner with Carter. I ate chinese food.\n26808,2017/12/10,\"I talked to Layla, Eva, Avery, Hazel for 6 minutes in the early evening.\",\"I talked to Layla, Eva, Avery, Hazel for 6 minutes in the early evening.\"\n26809,2017/12/10,\"I spent 10 talking to Avery, Rylee, Nevaeh on various topics in the early evening.\",\"I spent 10 talking to Avery, Rylee, Nevaeh on various topics in the early evening.\"\n26810,2017/12/10,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n26811,2017/12/10,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n26812,2017/12/11,I spent time learning a language on 2017/12/11 with Andrew.,I spent time learning a language on 2017/12/11 with Andrew.\n26813,2017/12/11,I did weight lifting on 2017/12/11.,I did weight lifting on 2017/12/11.\n26814,2017/12/11,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n26815,2017/12/11,I prepare a burger for lunch.,I prepare a burger for lunch.\n26816,2017/12/11,I prepare sushi for dinner.,I prepare sushi for dinner.\n26817,2017/12/11,I talked to Hazel for 17 minutes in the early afternoon.,I talked to Hazel for 17 minutes in the early afternoon.\n26818,2017/12/11,\"I spent 47 talking to Olivia, Piper, Rylee on various topics in the late afternoon.\",\"I spent 47 talking to Olivia, Piper, Rylee on various topics in the late afternoon.\"\n26819,2017/12/11,\"I spent 15 talking to Hazel, Avery, Rylee on various topics in the morning.\",\"I spent 15 talking to Hazel, Avery, Rylee on various topics in the morning.\"\n26820,2017/12/11,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n26821,2017/12/11,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n26822,2017/12/12,\"On 2017/12/12, I took Jose on a date to a coffee Shop\",\"On 2017/12/12, I took Jose on a date to a coffee Shop\"\n26823,2017/12/12,I did swimming on 2017/12/12.,I did swimming on 2017/12/12.\n26824,2017/12/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n26825,2017/12/12,\"I had lunch with Willow, Benjamin, Jackson. I ate sushi.\",\"I had lunch with Willow, Benjamin, Jackson. I ate sushi.\"\n26826,2017/12/12,I ate a burger for dinner.,I ate a burger for dinner.\n26827,2017/12/12,I spent 38 talking to Piper on various topics late in the evening.,I spent 38 talking to Piper on various topics late in the evening.\n26828,2017/12/12,\"I spent 13 talking to Nora, Olivia on various topics in the early evening.\",\"I spent 13 talking to Nora, Olivia on various topics in the early evening.\"\n26829,2017/12/12,\"I talked to Piper, Lydia for 21 minutes in the morning.\",\"I talked to Piper, Lydia for 21 minutes in the morning.\"\n26830,2017/12/12,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n26831,2017/12/12,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n26832,2017/12/13,\"I spent time yoga on 2017/12/13 with Andrew, Emily, Kayden.\",\"I spent time yoga on 2017/12/13 with Andrew, Emily, Kayden.\"\n26833,2017/12/13,I did running on 2017/12/13.,I did running on 2017/12/13.\n26834,2017/12/13,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n26835,2017/12/13,I ate tacos for lunch.,I ate tacos for lunch.\n26836,2017/12/13,I prepare a burger for dinner.,I prepare a burger for dinner.\n26837,2017/12/13,\"I spent 33 talking to Piper, Eva, Avery, Nora on various topics in the morning.\",\"I spent 33 talking to Piper, Eva, Avery, Nora on various topics in the morning.\"\n26838,2017/12/13,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n26839,2017/12/13,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n26840,2017/12/14,I did biking on 2017/12/14.,I did biking on 2017/12/14.\n26841,2017/12/14,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n26842,2017/12/14,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n26843,2017/12/14,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n26844,2017/12/14,I talked to Rylee for 42 minutes in the early evening.,I talked to Rylee for 42 minutes in the early evening.\n26845,2017/12/14,\"I talked to Piper, Hazel, Claire, Avery for 51 minutes late in the evening.\",\"I talked to Piper, Hazel, Claire, Avery for 51 minutes late in the evening.\"\n26846,2017/12/14,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n26847,2017/12/14,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n26848,2017/12/15,\"I bought some strawberries, coffee, sports drinks, pineapple juice, mango juice, toothbrush, toothpaste from the grocery store. I saw Andrew at the grocery store.\",\"I bought some strawberries, coffee, sports drinks, pineapple juice, mango juice, toothbrush, toothpaste from the grocery store. I saw Andrew at the grocery store.\"\n26849,2017/12/15,I did running on 2017/12/15.,I did running on 2017/12/15.\n26850,2017/12/15,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n26851,2017/12/15,\"I had lunch with Claire, Eva, Piper, Nevaeh, Layla, Lydia. I ate pasta.\",\"I had lunch with Claire, Eva, Piper, Nevaeh, Layla, Lydia. I ate pasta.\"\n26852,2017/12/15,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n26853,2017/12/15,I talked to Piper for 9 minutes during lunch hours.,I talked to Piper for 9 minutes during lunch hours.\n26854,2017/12/15,I talked to Rylee for 17 minutes in the early evening.,I talked to Rylee for 17 minutes in the early evening.\n26855,2017/12/15,I spent 10 talking to Layla on various topics in the morning.,I spent 10 talking to Layla on various topics in the morning.\n26856,2017/12/15,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n26857,2017/12/15,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n26858,2017/12/16,\"I entertained Carter, Kayden, Andrew at my place on 2017/12/16 and bake chocolate chip cookie in a mug\",\"I entertained Carter, Kayden, Andrew at my place on 2017/12/16 and bake chocolate chip cookie in a mug\"\n26859,2017/12/16,I did running on 2017/12/16.,I did running on 2017/12/16.\n26860,2017/12/16,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n26861,2017/12/16,I ate sandwich for lunch.,I ate sandwich for lunch.\n26862,2017/12/16,I ate indian food for dinner.,I ate indian food for dinner.\n26863,2017/12/16,\"I talked to Kinsley, Layla, Nora, Piper for 25 minutes in the morning.\",\"I talked to Kinsley, Layla, Nora, Piper for 25 minutes in the morning.\"\n26864,2017/12/16,\"I spent 36 talking to Kinsley, Piper on various topics late in the evening.\",\"I spent 36 talking to Kinsley, Piper on various topics late in the evening.\"\n26865,2017/12/16,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n26866,2017/12/16,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n26867,2017/12/17,I did HIIT on 2017/12/17.,I did HIIT on 2017/12/17.\n26868,2017/12/17,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n26869,2017/12/17,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n26870,2017/12/17,\"I had steak for dinner with Kinsley, Piper, Nora, Rylee\",\"I had steak for dinner with Kinsley, Piper, Nora, Rylee\"\n26871,2017/12/17,\"I talked to Avery, Piper, Nevaeh, Piper for 28 minutes during lunch hours.\",\"I talked to Avery, Piper, Nevaeh, Piper for 28 minutes during lunch hours.\"\n26872,2017/12/17,\"I spent 28 talking to Rylee, Eva, Piper, Nevaeh on various topics in the morning.\",\"I spent 28 talking to Rylee, Eva, Piper, Nevaeh on various topics in the morning.\"\n26873,2017/12/17,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n26874,2017/12/17,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n26875,2017/12/18,\"On 2017/12/18, I took Hazel on a date to a park\",\"On 2017/12/18, I took Hazel on a date to a park\"\n26876,2017/12/18,\"I bought some mangos, nectarines, strawberries, apple juice, toilet paper, mouthwash online.\",\"I bought some mangos, nectarines, strawberries, apple juice, toilet paper, mouthwash online.\"\n26877,2017/12/18,I did biking on 2017/12/18.,I did biking on 2017/12/18.\n26878,2017/12/18,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n26879,2017/12/18,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n26880,2017/12/18,\"I had dinner with Kayden, Andrew, Emily. I ate a burger.\",\"I had dinner with Kayden, Andrew, Emily. I ate a burger.\"\n26881,2017/12/18,\"I talked to Avery, Nevaeh, Kinsley for 53 minutes in the late afternoon.\",\"I talked to Avery, Nevaeh, Kinsley for 53 minutes in the late afternoon.\"\n26882,2017/12/18,\"I talked to Layla, Avery, Piper, Eva for 18 minutes in the early afternoon.\",\"I talked to Layla, Avery, Piper, Eva for 18 minutes in the early afternoon.\"\n26883,2017/12/18,\"I talked to Avery, Nevaeh for 39 minutes in the morning.\",\"I talked to Avery, Nevaeh for 39 minutes in the morning.\"\n26884,2017/12/18,\"I talked to Kinsley, Piper for 34 minutes in the early afternoon.\",\"I talked to Kinsley, Piper for 34 minutes in the early afternoon.\"\n26885,2017/12/18,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n26886,2017/12/18,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n26887,2017/12/19,\"I had eggs, sausages, and bread for breakfast with Olivia, Piper, Eva\",\"I had eggs, sausages, and bread for breakfast with Olivia, Piper, Eva\"\n26888,2017/12/19,\"I had lunch with Emily, Kayden, Andrew. I ate indian food.\",\"I had lunch with Emily, Kayden, Andrew. I ate indian food.\"\n26889,2017/12/19,I had dinner with Nora. I ate pasta.,I had dinner with Nora. I ate pasta.\n26890,2017/12/19,I spent 40 talking to Piper on various topics in the morning.,I spent 40 talking to Piper on various topics in the morning.\n26891,2017/12/19,\"I spent 43 talking to Piper, Olivia on various topics in the early evening.\",\"I spent 43 talking to Piper, Olivia on various topics in the early evening.\"\n26892,2017/12/19,I spent 40 talking to Claire on various topics late in the evening.,I spent 40 talking to Claire on various topics late in the evening.\n26893,2017/12/19,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n26894,2017/12/19,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n26895,2017/12/20,I spent some time gardening on 2017/12/20.,I spent some time gardening on 2017/12/20.\n26896,2017/12/20,I did HIIT on 2017/12/20.,I did HIIT on 2017/12/20.\n26897,2017/12/20,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n26898,2017/12/20,\"I had lunch with Andrew, Emily. I ate indian food.\",\"I had lunch with Andrew, Emily. I ate indian food.\"\n26899,2017/12/20,I prepare a burger for dinner.,I prepare a burger for dinner.\n26900,2017/12/20,\"I talked to Layla, Avery for 15 minutes late in the evening.\",\"I talked to Layla, Avery for 15 minutes late in the evening.\"\n26901,2017/12/20,\"I spent 16 talking to Piper, Nevaeh, Nora, Lydia on various topics during lunch hours.\",\"I spent 16 talking to Piper, Nevaeh, Nora, Lydia on various topics during lunch hours.\"\n26902,2017/12/20,\"I talked to Olivia, Lydia, Piper, Rylee for 26 minutes in the early evening.\",\"I talked to Olivia, Lydia, Piper, Rylee for 26 minutes in the early evening.\"\n26903,2017/12/20,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n26904,2017/12/20,I watched news for 15 minutes on TV today.,I watched news for 15 minutes on TV today.\n26905,2017/12/21,I did swimming on 2017/12/21.,I did swimming on 2017/12/21.\n26906,2017/12/21,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n26907,2017/12/21,I ate indian food for lunch.,I ate indian food for lunch.\n26908,2017/12/21,I ate sushi for dinner.,I ate sushi for dinner.\n26909,2017/12/21,\"I talked to Piper, Olivia for 11 minutes in the early evening.\",\"I talked to Piper, Olivia for 11 minutes in the early evening.\"\n26910,2017/12/21,\"I talked to Claire, Avery, Kinsley, Olivia for 27 minutes in the late afternoon.\",\"I talked to Claire, Avery, Kinsley, Olivia for 27 minutes in the late afternoon.\"\n26911,2017/12/21,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n26912,2017/12/21,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n26913,2017/12/22,I did running on 2017/12/22.,I did running on 2017/12/22.\n26914,2017/12/22,\"I had breakfast with Willow, Jackson, Avery. I ate toast and cheese.\",\"I had breakfast with Willow, Jackson, Avery. I ate toast and cheese.\"\n26915,2017/12/22,\"I had a burger for lunch with Nevaeh, Layla, Piper, Nora, Kinsley, Claire, Piper, Olivia, Lydia, Rylee, Eva, Hazel\",\"I had a burger for lunch with Nevaeh, Layla, Piper, Nora, Kinsley, Claire, Piper, Olivia, Lydia, Rylee, Eva, Hazel\"\n26916,2017/12/22,I ate tacos for dinner.,I ate tacos for dinner.\n26917,2017/12/22,I talked to Olivia for 9 minutes in the morning.,I talked to Olivia for 9 minutes in the morning.\n26918,2017/12/22,\"I talked to Eva, Piper for 16 minutes in the early evening.\",\"I talked to Eva, Piper for 16 minutes in the early evening.\"\n26919,2017/12/22,\"I spent 42 talking to Eva, Nora, Olivia, Piper on various topics in the early evening.\",\"I spent 42 talking to Eva, Nora, Olivia, Piper on various topics in the early evening.\"\n26920,2017/12/22,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n26921,2017/12/22,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n26922,2017/12/23,I did swimming on 2017/12/23.,I did swimming on 2017/12/23.\n26923,2017/12/23,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n26924,2017/12/23,I ate sushi for lunch.,I ate sushi for lunch.\n26925,2017/12/23,I ate sandwich for dinner.,I ate sandwich for dinner.\n26926,2017/12/23,\"I spent 22 talking to Piper, Eva on various topics in the early evening.\",\"I spent 22 talking to Piper, Eva on various topics in the early evening.\"\n26927,2017/12/23,\"I talked to Nevaeh, Rylee for 30 minutes in the late afternoon.\",\"I talked to Nevaeh, Rylee for 30 minutes in the late afternoon.\"\n26928,2017/12/23,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n26929,2017/12/23,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n26930,2017/12/24,I really enjoyed yoga on 2017/12/24,I really enjoyed yoga on 2017/12/24\n26931,2017/12/24,I did weight lifting on 2017/12/24.,I did weight lifting on 2017/12/24.\n26932,2017/12/24,\"I had pancakes for breakfast with Carter, Andrew\",\"I had pancakes for breakfast with Carter, Andrew\"\n26933,2017/12/24,I ate chinese food for lunch.,I ate chinese food for lunch.\n26934,2017/12/24,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n26935,2017/12/24,\"I spent 7 talking to Layla, Piper on various topics in the morning.\",\"I spent 7 talking to Layla, Piper on various topics in the morning.\"\n26936,2017/12/24,\"I spent 27 talking to Claire, Layla on various topics in the late afternoon.\",\"I spent 27 talking to Claire, Layla on various topics in the late afternoon.\"\n26937,2017/12/24,\"I talked to Avery, Olivia, Piper for 7 minutes in the early afternoon.\",\"I talked to Avery, Olivia, Piper for 7 minutes in the early afternoon.\"\n26938,2017/12/24,\"I spent 15 talking to Avery, Nevaeh on various topics during lunch hours.\",\"I spent 15 talking to Avery, Nevaeh on various topics during lunch hours.\"\n26939,2017/12/24,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n26940,2017/12/24,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n26941,2017/12/25,I went on a date with Roman on 2017/12/25 at a park,I went on a date with Roman on 2017/12/25 at a park\n26942,2017/12/25,I did running on 2017/12/25.,I did running on 2017/12/25.\n26943,2017/12/25,I had breakfast with Emily. I ate peanut-butter-jam.,I had breakfast with Emily. I ate peanut-butter-jam.\n26944,2017/12/25,I had lunch. I ate steak.,I had lunch. I ate steak.\n26945,2017/12/25,I ate tacos for dinner.,I ate tacos for dinner.\n26946,2017/12/25,\"I talked to Nevaeh, Lydia, Hazel for 31 minutes in the late afternoon.\",\"I talked to Nevaeh, Lydia, Hazel for 31 minutes in the late afternoon.\"\n26947,2017/12/25,\"I spent 12 talking to Avery, Nora, Layla, Piper on various topics in the morning.\",\"I spent 12 talking to Avery, Nora, Layla, Piper on various topics in the morning.\"\n26948,2017/12/25,\"I talked to Nevaeh, Rylee, Kinsley for 19 minutes during lunch hours.\",\"I talked to Nevaeh, Rylee, Kinsley for 19 minutes during lunch hours.\"\n26949,2017/12/25,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n26950,2017/12/25,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n26951,2017/12/26,\"I bought some clementines, cherres, nectarines, guava, soda, apple juice, toothbrush online.\",\"I bought some clementines, cherres, nectarines, guava, soda, apple juice, toothbrush online.\"\n26952,2017/12/26,I did running on 2017/12/26.,I did running on 2017/12/26.\n26953,2017/12/26,\"I had breakfast with Hazel, Nevaeh, Lydia, Layla, Rylee, Piper. I ate cereals.\",\"I had breakfast with Hazel, Nevaeh, Lydia, Layla, Rylee, Piper. I ate cereals.\"\n26954,2017/12/26,\"I had steak for lunch with Benjamin, Jackson, Willow\",\"I had steak for lunch with Benjamin, Jackson, Willow\"\n26955,2017/12/26,I had dinner with Andrew. I ate sushi.,I had dinner with Andrew. I ate sushi.\n26956,2017/12/26,\"I spent 17 talking to Rylee, Hazel on various topics in the late afternoon.\",\"I spent 17 talking to Rylee, Hazel on various topics in the late afternoon.\"\n26957,2017/12/26,I spent 49 talking to Nora on various topics late in the evening.,I spent 49 talking to Nora on various topics late in the evening.\n26958,2017/12/26,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n26959,2017/12/26,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n26960,2017/12/27,I did running on 2017/12/27.,I did running on 2017/12/27.\n26961,2017/12/27,\"I had eggs, sausages, and bread for breakfast with Carter\",\"I had eggs, sausages, and bread for breakfast with Carter\"\n26962,2017/12/27,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n26963,2017/12/27,I ate chinese food for dinner.,I ate chinese food for dinner.\n26964,2017/12/27,I spent 10 talking to Lydia on various topics in the late afternoon.,I spent 10 talking to Lydia on various topics in the late afternoon.\n26965,2017/12/27,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n26966,2017/12/27,I spent 43 minutes watching news on TV today.,I spent 43 minutes watching news on TV today.\n26967,2017/12/28,I went on a date with Madelyn on 2017/12/28 at a restaurant,I went on a date with Madelyn on 2017/12/28 at a restaurant\n26968,2017/12/28,\"I went grocery shopping with Carter, Emily. I bought some apples, nectarines, apricots, guava juice, mineral water, and mouthwash, toilet paper, shaving cream\",\"I went grocery shopping with Carter, Emily. I bought some apples, nectarines, apricots, guava juice, mineral water, and mouthwash, toilet paper, shaving cream\"\n26969,2017/12/28,I did hiking on 2017/12/28.,I did hiking on 2017/12/28.\n26970,2017/12/28,\"I had breakfast with Andrew, Emily, Kayden. I ate oatmeal.\",\"I had breakfast with Andrew, Emily, Kayden. I ate oatmeal.\"\n26971,2017/12/28,I ate a burger for lunch.,I ate a burger for lunch.\n26972,2017/12/28,I prepare tacos for dinner.,I prepare tacos for dinner.\n26973,2017/12/28,\"I talked to Kinsley, Lydia, Eva for 5 minutes in the morning.\",\"I talked to Kinsley, Lydia, Eva for 5 minutes in the morning.\"\n26974,2017/12/28,I talked to Eva for 54 minutes in the early evening.,I talked to Eva for 54 minutes in the early evening.\n26975,2017/12/28,\"I spent 15 talking to Avery, Piper, Olivia on various topics in the morning.\",\"I spent 15 talking to Avery, Piper, Olivia on various topics in the morning.\"\n26976,2017/12/28,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n26977,2017/12/28,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n26978,2017/12/29,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n26979,2017/12/29,I had lunch with Emily. I ate tacos.,I had lunch with Emily. I ate tacos.\n26980,2017/12/29,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n26981,2017/12/29,\"I talked to Layla, Eva, Piper for 51 minutes during lunch hours.\",\"I talked to Layla, Eva, Piper for 51 minutes during lunch hours.\"\n26982,2017/12/29,\"I talked to Nevaeh, Claire for 14 minutes during lunch hours.\",\"I talked to Nevaeh, Claire for 14 minutes during lunch hours.\"\n26983,2017/12/29,\"I talked to Kinsley, Nora, Eva, Rylee for 43 minutes in the early evening.\",\"I talked to Kinsley, Nora, Eva, Rylee for 43 minutes in the early evening.\"\n26984,2017/12/29,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n26985,2017/12/29,I spent 33 minutes watching a tv series on TV today.,I spent 33 minutes watching a tv series on TV today.\n26986,2017/12/30,I did HIIT on 2017/12/30.,I did HIIT on 2017/12/30.\n26987,2017/12/30,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n26988,2017/12/30,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n26989,2017/12/30,I prepare sushi for dinner.,I prepare sushi for dinner.\n26990,2017/12/30,I spent 42 talking to Kinsley on various topics in the early evening.,I spent 42 talking to Kinsley on various topics in the early evening.\n26991,2017/12/30,\"I talked to Piper, Layla, Hazel for 34 minutes late in the evening.\",\"I talked to Piper, Layla, Hazel for 34 minutes late in the evening.\"\n26992,2017/12/30,\"I talked to Piper, Nevaeh, Lydia for 17 minutes late in the evening.\",\"I talked to Piper, Nevaeh, Lydia for 17 minutes late in the evening.\"\n26993,2017/12/30,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n26994,2017/12/30,I spent 5 minutes watching a documentary on TV today.,I spent 5 minutes watching a documentary on TV today.\n26995,2017/12/31,I did HIIT on 2017/12/31.,I did HIIT on 2017/12/31.\n26996,2017/12/31,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n26997,2017/12/31,I prepare indian food for lunch.,I prepare indian food for lunch.\n26998,2017/12/31,\"I had a burger for dinner with Emily, Andrew, Kayden, Carter\",\"I had a burger for dinner with Emily, Andrew, Kayden, Carter\"\n26999,2017/12/31,\"I talked to Kinsley, Hazel, Nora, Layla for 13 minutes in the early afternoon.\",\"I talked to Kinsley, Hazel, Nora, Layla for 13 minutes in the early afternoon.\"\n27000,2017/12/31,\"I talked to Lydia, Rylee for 48 minutes in the early afternoon.\",\"I talked to Lydia, Rylee for 48 minutes in the early afternoon.\"\n27001,2017/12/31,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n27002,2017/12/31,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n27003,2018/01/01,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n27004,2018/01/01,I did HIIT on 2018/01/01.,I did HIIT on 2018/01/01.\n27005,2018/01/01,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n27006,2018/01/01,\"I had chinese food for lunch with Emily, Andrew, Kayden, Carter\",\"I had chinese food for lunch with Emily, Andrew, Kayden, Carter\"\n27007,2018/01/01,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n27008,2018/01/01,\"I talked to Eva, Piper, Piper, Lydia for 28 minutes in the late afternoon.\",\"I talked to Eva, Piper, Piper, Lydia for 28 minutes in the late afternoon.\"\n27009,2018/01/01,\"I talked to Olivia, Eva for 13 minutes during lunch hours.\",\"I talked to Olivia, Eva for 13 minutes during lunch hours.\"\n27010,2018/01/01,\"I spent 26 talking to Piper, Kinsley on various topics in the late afternoon.\",\"I spent 26 talking to Piper, Kinsley on various topics in the late afternoon.\"\n27011,2018/01/01,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n27012,2018/01/02,\"I bought some clementines, orange juice, soda, tea, paper towel, shaving cream, facial wash, toothpaste from the grocery store. I saw Carter at the grocery store.\",\"I bought some clementines, orange juice, soda, tea, paper towel, shaving cream, facial wash, toothpaste from the grocery store. I saw Carter at the grocery store.\"\n27013,2018/01/02,I did running on 2018/01/02.,I did running on 2018/01/02.\n27014,2018/01/02,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n27015,2018/01/02,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n27016,2018/01/02,\"I had chinese food for dinner with Kayden, Emily, Carter\",\"I had chinese food for dinner with Kayden, Emily, Carter\"\n27017,2018/01/02,I talked to Kinsley for 6 minutes during lunch hours.,I talked to Kinsley for 6 minutes during lunch hours.\n27018,2018/01/02,\"I spent 31 talking to Olivia, Nora, Eva, Layla on various topics in the early afternoon.\",\"I spent 31 talking to Olivia, Nora, Eva, Layla on various topics in the early afternoon.\"\n27019,2018/01/02,\"I talked to Eva, Nora for 27 minutes in the early afternoon.\",\"I talked to Eva, Nora for 27 minutes in the early afternoon.\"\n27020,2018/01/02,\"I spent 44 talking to Layla, Lydia on various topics in the morning.\",\"I spent 44 talking to Layla, Lydia on various topics in the morning.\"\n27021,2018/01/02,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n27022,2018/01/02,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n27023,2018/01/03,I really enjoyed working out on 2018/01/03,I really enjoyed working out on 2018/01/03\n27024,2018/01/03,I did running on 2018/01/03.,I did running on 2018/01/03.\n27025,2018/01/03,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n27026,2018/01/03,\"I had steak for lunch with Carter, Andrew\",\"I had steak for lunch with Carter, Andrew\"\n27027,2018/01/03,I ate steak for dinner.,I ate steak for dinner.\n27028,2018/01/03,\"I spent 36 talking to Eva, Hazel on various topics in the early afternoon.\",\"I spent 36 talking to Eva, Hazel on various topics in the early afternoon.\"\n27029,2018/01/03,\"I spent 19 talking to Olivia, Eva, Claire on various topics during lunch hours.\",\"I spent 19 talking to Olivia, Eva, Claire on various topics during lunch hours.\"\n27030,2018/01/03,\"I talked to Piper, Avery, Rylee for 45 minutes in the early afternoon.\",\"I talked to Piper, Avery, Rylee for 45 minutes in the early afternoon.\"\n27031,2018/01/03,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n27032,2018/01/03,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n27033,2018/01/04,\"I really enjoyed baking cream-filled bundt cake, blackberry-raspberry skillet cobbler on 2018/01/04 with Carter, Kayden, Andrew, Emily at my place\",\"I really enjoyed baking cream-filled bundt cake, blackberry-raspberry skillet cobbler on 2018/01/04 with Carter, Kayden, Andrew, Emily at my place\"\n27034,2018/01/04,\"I had peanut-butter-jam for breakfast with Emily, Kayden\",\"I had peanut-butter-jam for breakfast with Emily, Kayden\"\n27035,2018/01/04,\"I had lunch with Emily, Andrew, Carter. I ate pasta.\",\"I had lunch with Emily, Andrew, Carter. I ate pasta.\"\n27036,2018/01/04,\"I had dinner with Hazel, Piper, Avery, Olivia, Eva, Layla, Kinsley, Claire, Nevaeh. I ate pasta.\",\"I had dinner with Hazel, Piper, Avery, Olivia, Eva, Layla, Kinsley, Claire, Nevaeh. I ate pasta.\"\n27037,2018/01/04,\"I spent 9 talking to Nevaeh, Hazel, Eva, Piper on various topics in the early evening.\",\"I spent 9 talking to Nevaeh, Hazel, Eva, Piper on various topics in the early evening.\"\n27038,2018/01/04,\"I spent 17 talking to Olivia, Nevaeh, Eva, Piper on various topics in the early afternoon.\",\"I spent 17 talking to Olivia, Nevaeh, Eva, Piper on various topics in the early afternoon.\"\n27039,2018/01/04,\"I spent 55 talking to Lydia, Olivia, Kinsley on various topics in the late afternoon.\",\"I spent 55 talking to Lydia, Olivia, Kinsley on various topics in the late afternoon.\"\n27040,2018/01/04,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n27041,2018/01/04,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n27042,2018/01/05,I did HIIT on 2018/01/05.,I did HIIT on 2018/01/05.\n27043,2018/01/05,\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate oatmeal.\",\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate oatmeal.\"\n27044,2018/01/05,\"I had sandwich for lunch with Piper, Claire\",\"I had sandwich for lunch with Piper, Claire\"\n27045,2018/01/05,I ate a burger for dinner.,I ate a burger for dinner.\n27046,2018/01/05,I talked to Avery for 23 minutes during lunch hours.,I talked to Avery for 23 minutes during lunch hours.\n27047,2018/01/05,\"I talked to Avery, Hazel, Eva for 48 minutes in the early evening.\",\"I talked to Avery, Hazel, Eva for 48 minutes in the early evening.\"\n27048,2018/01/05,\"I talked to Eva, Claire for 55 minutes in the early evening.\",\"I talked to Eva, Claire for 55 minutes in the early evening.\"\n27049,2018/01/05,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n27050,2018/01/05,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n27051,2018/01/06,I was cooking scallion pancake on 2018/01/06 with Carter at my place,I was cooking scallion pancake on 2018/01/06 with Carter at my place\n27052,2018/01/06,\"I spent time working out on 2018/01/06 with Piper, Lydia, Layla.\",\"I spent time working out on 2018/01/06 with Piper, Lydia, Layla.\"\n27053,2018/01/06,I did hiking on 2018/01/06.,I did hiking on 2018/01/06.\n27054,2018/01/06,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n27055,2018/01/06,\"I had lunch with Kayden, Carter. I ate pasta.\",\"I had lunch with Kayden, Carter. I ate pasta.\"\n27056,2018/01/06,\"I had steak for dinner with Kayden, Carter\",\"I had steak for dinner with Kayden, Carter\"\n27057,2018/01/06,\"I talked to Piper, Olivia, Claire for 16 minutes in the early afternoon.\",\"I talked to Piper, Olivia, Claire for 16 minutes in the early afternoon.\"\n27058,2018/01/06,\"I talked to Piper, Lydia for 12 minutes late in the evening.\",\"I talked to Piper, Lydia for 12 minutes late in the evening.\"\n27059,2018/01/06,\"I talked to Hazel, Eva for 23 minutes in the early evening.\",\"I talked to Hazel, Eva for 23 minutes in the early evening.\"\n27060,2018/01/06,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n27061,2018/01/06,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n27062,2018/01/07,\"I went grocery shopping. I bought some cherres, strawberries, peaches, sports drinks, orange juice, chocolate milk, and facial wash\",\"I went grocery shopping. I bought some cherres, strawberries, peaches, sports drinks, orange juice, chocolate milk, and facial wash\"\n27063,2018/01/07,\"I had breakfast with Nora, Eva, Olivia. I ate toast and cheese.\",\"I had breakfast with Nora, Eva, Olivia. I ate toast and cheese.\"\n27064,2018/01/07,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n27065,2018/01/07,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n27066,2018/01/07,\"I talked to Piper, Piper, Olivia, Claire for 51 minutes in the late afternoon.\",\"I talked to Piper, Piper, Olivia, Claire for 51 minutes in the late afternoon.\"\n27067,2018/01/07,\"I talked to Claire, Piper, Eva, Lydia for 26 minutes late in the evening.\",\"I talked to Claire, Piper, Eva, Lydia for 26 minutes late in the evening.\"\n27068,2018/01/07,\"I talked to Nora, Olivia for 38 minutes late in the evening.\",\"I talked to Nora, Olivia for 38 minutes late in the evening.\"\n27069,2018/01/07,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n27070,2018/01/07,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n27071,2018/01/08,I did hiking on 2018/01/08.,I did hiking on 2018/01/08.\n27072,2018/01/08,\"I had breakfast with Emily, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Carter. I ate eggs, sausages, and bread.\"\n27073,2018/01/08,\"I had lunch with Carter, Andrew, Kayden. I ate tacos.\",\"I had lunch with Carter, Andrew, Kayden. I ate tacos.\"\n27074,2018/01/08,I prepare steak for dinner.,I prepare steak for dinner.\n27075,2018/01/08,I spent 50 talking to Lydia on various topics during lunch hours.,I spent 50 talking to Lydia on various topics during lunch hours.\n27076,2018/01/08,\"I spent 53 talking to Hazel, Rylee, Piper, Olivia on various topics in the early evening.\",\"I spent 53 talking to Hazel, Rylee, Piper, Olivia on various topics in the early evening.\"\n27077,2018/01/08,\"I talked to Nora, Lydia, Hazel, Claire for 36 minutes in the early evening.\",\"I talked to Nora, Lydia, Hazel, Claire for 36 minutes in the early evening.\"\n27078,2018/01/08,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n27079,2018/01/08,I spent 27 minutes watching a documentary on TV today.,I spent 27 minutes watching a documentary on TV today.\n27080,2018/01/09,I did hiking on 2018/01/09.,I did hiking on 2018/01/09.\n27081,2018/01/09,I had pancakes for breakfast with Emily,I had pancakes for breakfast with Emily\n27082,2018/01/09,I had lunch. I ate steak.,I had lunch. I ate steak.\n27083,2018/01/09,I prepare pasta for dinner.,I prepare pasta for dinner.\n27084,2018/01/09,\"I spent 16 talking to Hazel, Piper, Eva on various topics during lunch hours.\",\"I spent 16 talking to Hazel, Piper, Eva on various topics during lunch hours.\"\n27085,2018/01/09,I talked to Nevaeh for 13 minutes in the early afternoon.,I talked to Nevaeh for 13 minutes in the early afternoon.\n27086,2018/01/09,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n27087,2018/01/09,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n27088,2018/01/10,\"On 2018/01/10, I took Axel on a date to a park\",\"On 2018/01/10, I took Axel on a date to a park\"\n27089,2018/01/10,\"I went grocery shopping. I bought some blueberries, pineapples, mineral water, and conditioner, mouth wash\",\"I went grocery shopping. I bought some blueberries, pineapples, mineral water, and conditioner, mouth wash\"\n27090,2018/01/10,I did HIIT on 2018/01/10.,I did HIIT on 2018/01/10.\n27091,2018/01/10,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n27092,2018/01/10,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n27093,2018/01/10,\"I had indian food for dinner with Hazel, Rylee, Nora, Lydia, Piper, Layla, Kinsley, Piper\",\"I had indian food for dinner with Hazel, Rylee, Nora, Lydia, Piper, Layla, Kinsley, Piper\"\n27094,2018/01/10,\"I talked to Piper, Layla, Rylee for 21 minutes during lunch hours.\",\"I talked to Piper, Layla, Rylee for 21 minutes during lunch hours.\"\n27095,2018/01/10,\"I spent 31 talking to Claire, Nevaeh on various topics in the late afternoon.\",\"I spent 31 talking to Claire, Nevaeh on various topics in the late afternoon.\"\n27096,2018/01/10,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n27097,2018/01/10,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n27098,2018/01/11,I did swimming on 2018/01/11.,I did swimming on 2018/01/11.\n27099,2018/01/11,\"I had pancakes for breakfast with Eva, Piper, Rylee, Hazel, Olivia, Nora, Nevaeh, Layla, Avery, Lydia, Kinsley, Piper, Claire\",\"I had pancakes for breakfast with Eva, Piper, Rylee, Hazel, Olivia, Nora, Nevaeh, Layla, Avery, Lydia, Kinsley, Piper, Claire\"\n27100,2018/01/11,I ate sushi for lunch.,I ate sushi for lunch.\n27101,2018/01/11,\"I had dinner with Andrew, Kayden, Carter, Emily. I ate sushi.\",\"I had dinner with Andrew, Kayden, Carter, Emily. I ate sushi.\"\n27102,2018/01/11,\"I talked to Eva, Hazel for 55 minutes late in the evening.\",\"I talked to Eva, Hazel for 55 minutes late in the evening.\"\n27103,2018/01/11,I spent 53 talking to Hazel on various topics in the late afternoon.,I spent 53 talking to Hazel on various topics in the late afternoon.\n27104,2018/01/11,\"I spent 7 talking to Piper, Rylee, Kinsley, Lydia on various topics in the late afternoon.\",\"I spent 7 talking to Piper, Rylee, Kinsley, Lydia on various topics in the late afternoon.\"\n27105,2018/01/11,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n27106,2018/01/11,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n27107,2018/01/12,I did biking on 2018/01/12.,I did biking on 2018/01/12.\n27108,2018/01/12,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n27109,2018/01/12,I prepare tacos for lunch.,I prepare tacos for lunch.\n27110,2018/01/12,\"I had dinner with Layla, Piper, Eva, Claire, Nevaeh, Olivia, Avery, Kinsley. I ate indian food.\",\"I had dinner with Layla, Piper, Eva, Claire, Nevaeh, Olivia, Avery, Kinsley. I ate indian food.\"\n27111,2018/01/12,\"I spent 38 talking to Nora, Kinsley, Piper on various topics during lunch hours.\",\"I spent 38 talking to Nora, Kinsley, Piper on various topics during lunch hours.\"\n27112,2018/01/12,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n27113,2018/01/12,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n27114,2018/01/13,I did HIIT on 2018/01/13.,I did HIIT on 2018/01/13.\n27115,2018/01/13,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n27116,2018/01/13,I had lunch with Emily. I ate fish and chips.,I had lunch with Emily. I ate fish and chips.\n27117,2018/01/13,\"I had dinner with Kayden, Carter, Emily, Andrew. I ate chinese food.\",\"I had dinner with Kayden, Carter, Emily, Andrew. I ate chinese food.\"\n27118,2018/01/13,I talked to Nora for 41 minutes in the late afternoon.,I talked to Nora for 41 minutes in the late afternoon.\n27119,2018/01/13,I spent 36 talking to Nora on various topics in the late afternoon.,I spent 36 talking to Nora on various topics in the late afternoon.\n27120,2018/01/13,I spent 16 talking to Nora on various topics in the early afternoon.,I spent 16 talking to Nora on various topics in the early afternoon.\n27121,2018/01/13,\"I talked to Olivia, Nevaeh, Nora for 8 minutes in the morning.\",\"I talked to Olivia, Nevaeh, Nora for 8 minutes in the morning.\"\n27122,2018/01/13,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n27123,2018/01/13,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n27124,2018/01/14,I spent time meditation on 2018/01/14 with Avery.,I spent time meditation on 2018/01/14 with Avery.\n27125,2018/01/14,\"I bought some watermelons, apples, bananas, mineral water, guava juice, mango juice, paper towel, mouthwash, toothbrush from the grocery store. I saw Kayden at the grocery store.\",\"I bought some watermelons, apples, bananas, mineral water, guava juice, mango juice, paper towel, mouthwash, toothbrush from the grocery store. I saw Kayden at the grocery store.\"\n27126,2018/01/14,I did biking on 2018/01/14.,I did biking on 2018/01/14.\n27127,2018/01/14,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n27128,2018/01/14,\"I had sandwich for lunch with Avery, Kinsley, Lydia, Layla, Nevaeh, Rylee, Piper\",\"I had sandwich for lunch with Avery, Kinsley, Lydia, Layla, Nevaeh, Rylee, Piper\"\n27129,2018/01/14,I ate tacos for dinner.,I ate tacos for dinner.\n27130,2018/01/14,\"I spent 14 talking to Piper, Lydia, Kinsley, Claire on various topics in the early evening.\",\"I spent 14 talking to Piper, Lydia, Kinsley, Claire on various topics in the early evening.\"\n27131,2018/01/14,I talked to Eva for 30 minutes in the morning.,I talked to Eva for 30 minutes in the morning.\n27132,2018/01/14,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n27133,2018/01/14,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n27134,2018/01/15,I did biking on 2018/01/15.,I did biking on 2018/01/15.\n27135,2018/01/15,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n27136,2018/01/15,I had lunch with Willow. I ate sandwich.,I had lunch with Willow. I ate sandwich.\n27137,2018/01/15,\"I had dinner with Benjamin, Avery. I ate sandwich.\",\"I had dinner with Benjamin, Avery. I ate sandwich.\"\n27138,2018/01/15,\"I talked to Piper, Rylee, Piper, Nevaeh for 17 minutes late in the evening.\",\"I talked to Piper, Rylee, Piper, Nevaeh for 17 minutes late in the evening.\"\n27139,2018/01/15,\"I talked to Nevaeh, Nora, Rylee for 42 minutes late in the evening.\",\"I talked to Nevaeh, Nora, Rylee for 42 minutes late in the evening.\"\n27140,2018/01/15,\"I spent 34 talking to Avery, Eva, Piper, Piper on various topics late in the evening.\",\"I spent 34 talking to Avery, Eva, Piper, Piper on various topics late in the evening.\"\n27141,2018/01/15,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n27142,2018/01/15,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n27143,2018/01/16,\"I bought some apples, blueberries, bananas, apple juice, soda, body lotion online.\",\"I bought some apples, blueberries, bananas, apple juice, soda, body lotion online.\"\n27144,2018/01/16,I did weight lifting on 2018/01/16.,I did weight lifting on 2018/01/16.\n27145,2018/01/16,\"I had toast and cheese for breakfast with Emily, Kayden, Andrew\",\"I had toast and cheese for breakfast with Emily, Kayden, Andrew\"\n27146,2018/01/16,\"I had lunch with Benjamin, Avery. I ate indian food.\",\"I had lunch with Benjamin, Avery. I ate indian food.\"\n27147,2018/01/16,\"I had sandwich for dinner with Layla, Eva, Kinsley, Nora, Hazel, Lydia\",\"I had sandwich for dinner with Layla, Eva, Kinsley, Nora, Hazel, Lydia\"\n27148,2018/01/16,\"I spent 23 talking to Avery, Eva on various topics in the late afternoon.\",\"I spent 23 talking to Avery, Eva on various topics in the late afternoon.\"\n27149,2018/01/16,I talked to Hazel for 27 minutes in the late afternoon.,I talked to Hazel for 27 minutes in the late afternoon.\n27150,2018/01/16,\"I talked to Hazel, Claire for 42 minutes in the early evening.\",\"I talked to Hazel, Claire for 42 minutes in the early evening.\"\n27151,2018/01/16,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n27152,2018/01/16,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n27153,2018/01/17,I did swimming on 2018/01/17.,I did swimming on 2018/01/17.\n27154,2018/01/17,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n27155,2018/01/17,\"I had a burger for lunch with Emily, Andrew\",\"I had a burger for lunch with Emily, Andrew\"\n27156,2018/01/17,I ate tacos for dinner.,I ate tacos for dinner.\n27157,2018/01/17,\"I spent 35 talking to Nevaeh, Olivia, Hazel, Claire on various topics in the early afternoon.\",\"I spent 35 talking to Nevaeh, Olivia, Hazel, Claire on various topics in the early afternoon.\"\n27158,2018/01/17,\"I spent 40 talking to Layla, Olivia on various topics in the early evening.\",\"I spent 40 talking to Layla, Olivia on various topics in the early evening.\"\n27159,2018/01/17,\"I spent 34 talking to Nora, Lydia, Layla, Rylee on various topics in the morning.\",\"I spent 34 talking to Nora, Lydia, Layla, Rylee on various topics in the morning.\"\n27160,2018/01/17,\"I talked to Olivia, Piper, Nevaeh for 12 minutes during lunch hours.\",\"I talked to Olivia, Piper, Nevaeh for 12 minutes during lunch hours.\"\n27161,2018/01/17,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n27162,2018/01/17,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n27163,2018/01/18,\"I really enjoyed baking birthday cupcakes with white wine buttercream, gluten-free apple rose tart on 2018/01/18 with Carter at my place\",\"I really enjoyed baking birthday cupcakes with white wine buttercream, gluten-free apple rose tart on 2018/01/18 with Carter at my place\"\n27164,2018/01/18,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n27165,2018/01/18,\"I had a burger for lunch with Andrew, Emily, Carter, Kayden\",\"I had a burger for lunch with Andrew, Emily, Carter, Kayden\"\n27166,2018/01/18,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n27167,2018/01/18,\"I talked to Eva, Piper, Avery for 16 minutes during lunch hours.\",\"I talked to Eva, Piper, Avery for 16 minutes during lunch hours.\"\n27168,2018/01/18,\"I spent 8 talking to Piper, Nora, Hazel on various topics in the morning.\",\"I spent 8 talking to Piper, Nora, Hazel on various topics in the morning.\"\n27169,2018/01/18,\"I talked to Layla, Kinsley for 37 minutes during lunch hours.\",\"I talked to Layla, Kinsley for 37 minutes during lunch hours.\"\n27170,2018/01/18,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n27171,2018/01/18,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n27172,2018/01/19,\"I bought some mandarins, orange juice, sports drinks, coffee, chocolate milk, facial wash, toothpaste, toilet paper, shampoo online.\",\"I bought some mandarins, orange juice, sports drinks, coffee, chocolate milk, facial wash, toothpaste, toilet paper, shampoo online.\"\n27173,2018/01/19,I did hiking on 2018/01/19.,I did hiking on 2018/01/19.\n27174,2018/01/19,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n27175,2018/01/19,I ate indian food for lunch.,I ate indian food for lunch.\n27176,2018/01/19,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n27177,2018/01/19,\"I spent 23 talking to Olivia, Piper, Layla, Lydia on various topics late in the evening.\",\"I spent 23 talking to Olivia, Piper, Layla, Lydia on various topics late in the evening.\"\n27178,2018/01/19,\"I talked to Piper, Olivia, Rylee for 50 minutes in the late afternoon.\",\"I talked to Piper, Olivia, Rylee for 50 minutes in the late afternoon.\"\n27179,2018/01/19,\"I talked to Piper, Olivia, Lydia, Avery for 30 minutes in the morning.\",\"I talked to Piper, Olivia, Lydia, Avery for 30 minutes in the morning.\"\n27180,2018/01/19,\"I spent 33 talking to Claire, Olivia on various topics in the early afternoon.\",\"I spent 33 talking to Claire, Olivia on various topics in the early afternoon.\"\n27181,2018/01/19,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n27182,2018/01/19,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n27183,2018/01/20,I really enjoyed learning a language on 2018/01/20,I really enjoyed learning a language on 2018/01/20\n27184,2018/01/20,I did weight lifting on 2018/01/20.,I did weight lifting on 2018/01/20.\n27185,2018/01/20,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n27186,2018/01/20,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n27187,2018/01/20,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n27188,2018/01/20,I spent 51 talking to Olivia on various topics during lunch hours.,I spent 51 talking to Olivia on various topics during lunch hours.\n27189,2018/01/20,\"I spent 51 talking to Piper, Claire on various topics late in the evening.\",\"I spent 51 talking to Piper, Claire on various topics late in the evening.\"\n27190,2018/01/20,I talked to Lydia for 13 minutes in the morning.,I talked to Lydia for 13 minutes in the morning.\n27191,2018/01/20,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n27192,2018/01/20,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n27193,2018/01/21,\"On 2018/01/21, I took Mia on a date to a coffee Shop\",\"On 2018/01/21, I took Mia on a date to a coffee Shop\"\n27194,2018/01/21,I did hiking on 2018/01/21.,I did hiking on 2018/01/21.\n27195,2018/01/21,I ate cereals for breakfast.,I ate cereals for breakfast.\n27196,2018/01/21,\"I had lunch with Olivia, Eva, Piper, Rylee, Hazel, Nevaeh, Lydia, Layla. I ate steak.\",\"I had lunch with Olivia, Eva, Piper, Rylee, Hazel, Nevaeh, Lydia, Layla. I ate steak.\"\n27197,2018/01/21,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n27198,2018/01/21,\"I talked to Avery, Piper, Olivia, Hazel for 11 minutes late in the evening.\",\"I talked to Avery, Piper, Olivia, Hazel for 11 minutes late in the evening.\"\n27199,2018/01/21,\"I spent 46 talking to Nora, Kinsley, Lydia, Piper on various topics in the early afternoon.\",\"I spent 46 talking to Nora, Kinsley, Lydia, Piper on various topics in the early afternoon.\"\n27200,2018/01/21,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n27201,2018/01/21,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n27202,2018/01/22,\"I bought some pineapples, clementines, strawberries, oranges, tea, facial wash online.\",\"I bought some pineapples, clementines, strawberries, oranges, tea, facial wash online.\"\n27203,2018/01/22,I did running on 2018/01/22.,I did running on 2018/01/22.\n27204,2018/01/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n27205,2018/01/22,\"I had lunch with Andrew, Carter. I ate pasta.\",\"I had lunch with Andrew, Carter. I ate pasta.\"\n27206,2018/01/22,\"I had fish and chips for dinner with Nevaeh, Layla, Kinsley\",\"I had fish and chips for dinner with Nevaeh, Layla, Kinsley\"\n27207,2018/01/22,\"I talked to Lydia, Piper, Olivia for 22 minutes in the late afternoon.\",\"I talked to Lydia, Piper, Olivia for 22 minutes in the late afternoon.\"\n27208,2018/01/22,I spent 25 talking to Claire on various topics in the early afternoon.,I spent 25 talking to Claire on various topics in the early afternoon.\n27209,2018/01/22,I talked to Piper for 40 minutes late in the evening.,I talked to Piper for 40 minutes late in the evening.\n27210,2018/01/22,\"I talked to Hazel, Avery, Eva, Rylee for 52 minutes in the early evening.\",\"I talked to Hazel, Avery, Eva, Rylee for 52 minutes in the early evening.\"\n27211,2018/01/22,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n27212,2018/01/22,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n27213,2018/01/23,I spent time yoga on 2018/01/23 with Layla.,I spent time yoga on 2018/01/23 with Layla.\n27214,2018/01/23,I did biking on 2018/01/23.,I did biking on 2018/01/23.\n27215,2018/01/23,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n27216,2018/01/23,I prepare indian food for lunch.,I prepare indian food for lunch.\n27217,2018/01/23,I prepare sushi for dinner.,I prepare sushi for dinner.\n27218,2018/01/23,\"I talked to Piper, Kinsley for 23 minutes in the early afternoon.\",\"I talked to Piper, Kinsley for 23 minutes in the early afternoon.\"\n27219,2018/01/23,\"I talked to Hazel, Kinsley for 52 minutes in the morning.\",\"I talked to Hazel, Kinsley for 52 minutes in the morning.\"\n27220,2018/01/23,\"I talked to Piper, Lydia, Olivia, Eva for 29 minutes in the early afternoon.\",\"I talked to Piper, Lydia, Olivia, Eva for 29 minutes in the early afternoon.\"\n27221,2018/01/23,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n27222,2018/01/23,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n27223,2018/01/24,I did HIIT on 2018/01/24.,I did HIIT on 2018/01/24.\n27224,2018/01/24,\"I had cereals for breakfast with Carter, Kayden, Emily\",\"I had cereals for breakfast with Carter, Kayden, Emily\"\n27225,2018/01/24,\"I had lunch with Emily, Carter. I ate fish and chips.\",\"I had lunch with Emily, Carter. I ate fish and chips.\"\n27226,2018/01/24,I prepare a burger for dinner.,I prepare a burger for dinner.\n27227,2018/01/24,\"I spent 9 talking to Olivia, Nevaeh on various topics in the early evening.\",\"I spent 9 talking to Olivia, Nevaeh on various topics in the early evening.\"\n27228,2018/01/24,I talked to Piper for 21 minutes during lunch hours.,I talked to Piper for 21 minutes during lunch hours.\n27229,2018/01/24,\"I talked to Lydia, Layla, Claire for 10 minutes in the late afternoon.\",\"I talked to Lydia, Layla, Claire for 10 minutes in the late afternoon.\"\n27230,2018/01/24,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n27231,2018/01/24,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n27232,2018/01/25,I did running on 2018/01/25.,I did running on 2018/01/25.\n27233,2018/01/25,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n27234,2018/01/25,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n27235,2018/01/25,\"I had fish and chips for dinner with Nevaeh, Nora, Claire, Layla, Olivia, Rylee, Eva, Piper\",\"I had fish and chips for dinner with Nevaeh, Nora, Claire, Layla, Olivia, Rylee, Eva, Piper\"\n27236,2018/01/25,\"I talked to Eva, Rylee, Lydia, Piper for 50 minutes in the early evening.\",\"I talked to Eva, Rylee, Lydia, Piper for 50 minutes in the early evening.\"\n27237,2018/01/25,\"I talked to Rylee, Layla for 15 minutes in the late afternoon.\",\"I talked to Rylee, Layla for 15 minutes in the late afternoon.\"\n27238,2018/01/25,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n27239,2018/01/25,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n27240,2018/01/26,\"On 2018/01/26, I took Isla on a date to a boba shop\",\"On 2018/01/26, I took Isla on a date to a boba shop\"\n27241,2018/01/26,I did hiking on 2018/01/26.,I did hiking on 2018/01/26.\n27242,2018/01/26,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n27243,2018/01/26,I had lunch with Kayden. I ate chinese food.,I had lunch with Kayden. I ate chinese food.\n27244,2018/01/26,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n27245,2018/01/26,\"I talked to Kinsley, Rylee, Piper for 39 minutes late in the evening.\",\"I talked to Kinsley, Rylee, Piper for 39 minutes late in the evening.\"\n27246,2018/01/26,\"I talked to Piper, Lydia, Nevaeh, Nora for 28 minutes late in the evening.\",\"I talked to Piper, Lydia, Nevaeh, Nora for 28 minutes late in the evening.\"\n27247,2018/01/26,\"I talked to Kinsley, Eva for 14 minutes in the morning.\",\"I talked to Kinsley, Eva for 14 minutes in the morning.\"\n27248,2018/01/26,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n27249,2018/01/26,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n27250,2018/01/27,\"I bought some strawberries, milk, toothbrush, paper towel online.\",\"I bought some strawberries, milk, toothbrush, paper towel online.\"\n27251,2018/01/27,I did biking on 2018/01/27.,I did biking on 2018/01/27.\n27252,2018/01/27,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n27253,2018/01/27,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n27254,2018/01/27,\"I had pasta for dinner with Avery, Jackson, Benjamin, Willow\",\"I had pasta for dinner with Avery, Jackson, Benjamin, Willow\"\n27255,2018/01/27,\"I spent 14 talking to Eva, Lydia, Layla, Avery on various topics during lunch hours.\",\"I spent 14 talking to Eva, Lydia, Layla, Avery on various topics during lunch hours.\"\n27256,2018/01/27,\"I talked to Eva, Olivia, Nora, Claire for 32 minutes in the late afternoon.\",\"I talked to Eva, Olivia, Nora, Claire for 32 minutes in the late afternoon.\"\n27257,2018/01/27,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n27258,2018/01/27,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n27259,2018/01/28,I did biking on 2018/01/28.,I did biking on 2018/01/28.\n27260,2018/01/28,\"I had cereals for breakfast with Andrew, Kayden\",\"I had cereals for breakfast with Andrew, Kayden\"\n27261,2018/01/28,\"I had chinese food for lunch with Kayden, Andrew, Carter\",\"I had chinese food for lunch with Kayden, Andrew, Carter\"\n27262,2018/01/28,I had sandwich for dinner with Emily,I had sandwich for dinner with Emily\n27263,2018/01/28,\"I spent 22 talking to Avery, Rylee, Claire on various topics in the early evening.\",\"I spent 22 talking to Avery, Rylee, Claire on various topics in the early evening.\"\n27264,2018/01/28,\"I spent 33 talking to Eva, Piper, Rylee, Avery on various topics late in the evening.\",\"I spent 33 talking to Eva, Piper, Rylee, Avery on various topics late in the evening.\"\n27265,2018/01/28,\"I talked to Piper, Lydia, Olivia, Piper for 50 minutes in the morning.\",\"I talked to Piper, Lydia, Olivia, Piper for 50 minutes in the morning.\"\n27266,2018/01/28,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n27267,2018/01/28,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n27268,2018/01/29,\"I bought some cherres, apricots, mango juice, milk, tea, apple juice, facial wash, shaving cream online.\",\"I bought some cherres, apricots, mango juice, milk, tea, apple juice, facial wash, shaving cream online.\"\n27269,2018/01/29,I did swimming on 2018/01/29.,I did swimming on 2018/01/29.\n27270,2018/01/29,I had cereals for breakfast with Jackson,I had cereals for breakfast with Jackson\n27271,2018/01/29,\"I had fish and chips for lunch with Piper, Kinsley, Avery, Hazel, Layla, Olivia, Claire, Eva, Lydia, Nora, Rylee\",\"I had fish and chips for lunch with Piper, Kinsley, Avery, Hazel, Layla, Olivia, Claire, Eva, Lydia, Nora, Rylee\"\n27272,2018/01/29,\"I had dinner with Kayden, Emily. I ate chinese food.\",\"I had dinner with Kayden, Emily. I ate chinese food.\"\n27273,2018/01/29,I spent 28 talking to Avery on various topics in the early afternoon.,I spent 28 talking to Avery on various topics in the early afternoon.\n27274,2018/01/29,I talked to Lydia for 30 minutes in the late afternoon.,I talked to Lydia for 30 minutes in the late afternoon.\n27275,2018/01/29,I talked to Layla for 49 minutes in the early evening.,I talked to Layla for 49 minutes in the early evening.\n27276,2018/01/29,\"I spent 45 talking to Claire, Eva, Avery on various topics in the morning.\",\"I spent 45 talking to Claire, Eva, Avery on various topics in the morning.\"\n27277,2018/01/29,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n27278,2018/01/29,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n27279,2018/01/30,I did running on 2018/01/30.,I did running on 2018/01/30.\n27280,2018/01/30,\"I had pancakes for breakfast with Avery, Layla, Piper, Kinsley, Eva\",\"I had pancakes for breakfast with Avery, Layla, Piper, Kinsley, Eva\"\n27281,2018/01/30,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n27282,2018/01/30,I prepare sushi for dinner.,I prepare sushi for dinner.\n27283,2018/01/30,\"I talked to Hazel, Lydia for 13 minutes in the late afternoon.\",\"I talked to Hazel, Lydia for 13 minutes in the late afternoon.\"\n27284,2018/01/30,\"I talked to Kinsley, Olivia, Nora for 40 minutes in the morning.\",\"I talked to Kinsley, Olivia, Nora for 40 minutes in the morning.\"\n27285,2018/01/30,\"I talked to Hazel, Nora for 29 minutes late in the evening.\",\"I talked to Hazel, Nora for 29 minutes late in the evening.\"\n27286,2018/01/30,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n27287,2018/01/30,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n27288,2018/01/31,I did HIIT on 2018/01/31.,I did HIIT on 2018/01/31.\n27289,2018/01/31,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n27290,2018/01/31,I had indian food for lunch with Emily,I had indian food for lunch with Emily\n27291,2018/01/31,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n27292,2018/01/31,I talked to Rylee for 20 minutes in the early evening.,I talked to Rylee for 20 minutes in the early evening.\n27293,2018/01/31,\"I talked to Rylee, Nora, Claire, Avery for 55 minutes late in the evening.\",\"I talked to Rylee, Nora, Claire, Avery for 55 minutes late in the evening.\"\n27294,2018/01/31,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n27295,2018/01/31,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n27296,2018/02/01,I did biking on 2018/02/01.,I did biking on 2018/02/01.\n27297,2018/02/01,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n27298,2018/02/01,I ate pasta for lunch.,I ate pasta for lunch.\n27299,2018/02/01,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n27300,2018/02/01,I spent 25 talking to Hazel on various topics in the late afternoon.,I spent 25 talking to Hazel on various topics in the late afternoon.\n27301,2018/02/01,\"I talked to Hazel, Lydia, Kinsley, Nora for 51 minutes in the morning.\",\"I talked to Hazel, Lydia, Kinsley, Nora for 51 minutes in the morning.\"\n27302,2018/02/01,I talked to Nevaeh for 51 minutes in the early evening.,I talked to Nevaeh for 51 minutes in the early evening.\n27303,2018/02/01,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n27304,2018/02/01,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n27305,2018/02/02,I did running on 2018/02/02.,I did running on 2018/02/02.\n27306,2018/02/02,\"I had eggs, sausages, and bread for breakfast with Willow, Jackson, Avery\",\"I had eggs, sausages, and bread for breakfast with Willow, Jackson, Avery\"\n27307,2018/02/02,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n27308,2018/02/02,\"I had tacos for dinner with Kinsley, Nora, Olivia, Hazel, Piper, Rylee\",\"I had tacos for dinner with Kinsley, Nora, Olivia, Hazel, Piper, Rylee\"\n27309,2018/02/02,I spent 49 talking to Piper on various topics during lunch hours.,I spent 49 talking to Piper on various topics during lunch hours.\n27310,2018/02/02,\"I talked to Nora, Piper, Hazel for 53 minutes in the late afternoon.\",\"I talked to Nora, Piper, Hazel for 53 minutes in the late afternoon.\"\n27311,2018/02/02,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n27312,2018/02/02,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n27313,2018/02/03,I did swimming on 2018/02/03.,I did swimming on 2018/02/03.\n27314,2018/02/03,\"I had breakfast with Andrew, Carter. I ate cereals.\",\"I had breakfast with Andrew, Carter. I ate cereals.\"\n27315,2018/02/03,I ate sushi for lunch.,I ate sushi for lunch.\n27316,2018/02/03,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n27317,2018/02/03,\"I talked to Hazel, Olivia for 37 minutes in the early evening.\",\"I talked to Hazel, Olivia for 37 minutes in the early evening.\"\n27318,2018/02/03,I spent 18 talking to Nora on various topics in the late afternoon.,I spent 18 talking to Nora on various topics in the late afternoon.\n27319,2018/02/03,I talked to Piper for 20 minutes in the late afternoon.,I talked to Piper for 20 minutes in the late afternoon.\n27320,2018/02/03,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n27321,2018/02/03,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n27322,2018/02/04,I went on a date with Sebastian on 2018/02/04 at a restaurant,I went on a date with Sebastian on 2018/02/04 at a restaurant\n27323,2018/02/04,\"I went grocery shopping with Jackson, Benjamin. I bought some cherres, pears, peaches, watermelons, chocolate milk, pineapple juice, apple juice, milk, and facial wash, shaving cream, paper towel, toothpaste\",\"I went grocery shopping with Jackson, Benjamin. I bought some cherres, pears, peaches, watermelons, chocolate milk, pineapple juice, apple juice, milk, and facial wash, shaving cream, paper towel, toothpaste\"\n27324,2018/02/04,I did swimming on 2018/02/04.,I did swimming on 2018/02/04.\n27325,2018/02/04,I ate cereals for breakfast.,I ate cereals for breakfast.\n27326,2018/02/04,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n27327,2018/02/04,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n27328,2018/02/04,\"I talked to Hazel, Lydia for 42 minutes in the early afternoon.\",\"I talked to Hazel, Lydia for 42 minutes in the early afternoon.\"\n27329,2018/02/04,\"I spent 11 talking to Olivia, Kinsley, Avery, Nevaeh on various topics in the early evening.\",\"I spent 11 talking to Olivia, Kinsley, Avery, Nevaeh on various topics in the early evening.\"\n27330,2018/02/04,\"I talked to Olivia, Lydia for 11 minutes late in the evening.\",\"I talked to Olivia, Lydia for 11 minutes late in the evening.\"\n27331,2018/02/04,\"I spent 44 talking to Eva, Piper on various topics late in the evening.\",\"I spent 44 talking to Eva, Piper on various topics late in the evening.\"\n27332,2018/02/04,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n27333,2018/02/04,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n27334,2018/02/05,\"I bought some oranges, apricots, mineral water, shaving cream, toothbrush, mouthwash, toilet paper from the grocery store. I saw Willow, Jackson at the grocery store.\",\"I bought some oranges, apricots, mineral water, shaving cream, toothbrush, mouthwash, toilet paper from the grocery store. I saw Willow, Jackson at the grocery store.\"\n27335,2018/02/05,I did hiking on 2018/02/05.,I did hiking on 2018/02/05.\n27336,2018/02/05,\"I had toast and cheese for breakfast with Avery, Benjamin, Jackson\",\"I had toast and cheese for breakfast with Avery, Benjamin, Jackson\"\n27337,2018/02/05,I prepare tacos for lunch.,I prepare tacos for lunch.\n27338,2018/02/05,I ate chinese food for dinner.,I ate chinese food for dinner.\n27339,2018/02/05,\"I talked to Eva, Avery, Piper, Olivia for 40 minutes in the late afternoon.\",\"I talked to Eva, Avery, Piper, Olivia for 40 minutes in the late afternoon.\"\n27340,2018/02/05,\"I talked to Hazel, Layla, Nora for 36 minutes in the early evening.\",\"I talked to Hazel, Layla, Nora for 36 minutes in the early evening.\"\n27341,2018/02/05,\"I talked to Claire, Piper for 12 minutes in the early evening.\",\"I talked to Claire, Piper for 12 minutes in the early evening.\"\n27342,2018/02/05,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n27343,2018/02/05,I spent 29 minutes watching a tv series on TV today.,I spent 29 minutes watching a tv series on TV today.\n27344,2018/02/06,I did weight lifting on 2018/02/06.,I did weight lifting on 2018/02/06.\n27345,2018/02/06,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n27346,2018/02/06,\"I had lunch with Andrew, Emily, Kayden, Carter. I ate tacos.\",\"I had lunch with Andrew, Emily, Kayden, Carter. I ate tacos.\"\n27347,2018/02/06,\"I had steak for dinner with Rylee, Kinsley, Piper, Claire, Nora, Eva, Lydia, Nevaeh, Hazel, Avery\",\"I had steak for dinner with Rylee, Kinsley, Piper, Claire, Nora, Eva, Lydia, Nevaeh, Hazel, Avery\"\n27348,2018/02/06,\"I talked to Layla, Rylee, Piper for 11 minutes in the early evening.\",\"I talked to Layla, Rylee, Piper for 11 minutes in the early evening.\"\n27349,2018/02/06,I talked to Piper for 13 minutes in the late afternoon.,I talked to Piper for 13 minutes in the late afternoon.\n27350,2018/02/06,\"I spent 55 talking to Olivia, Nevaeh, Eva on various topics during lunch hours.\",\"I spent 55 talking to Olivia, Nevaeh, Eva on various topics during lunch hours.\"\n27351,2018/02/06,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n27352,2018/02/06,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n27353,2018/02/07,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n27354,2018/02/07,\"I had lunch with Avery, Benjamin, Willow, Jackson. I ate indian food.\",\"I had lunch with Avery, Benjamin, Willow, Jackson. I ate indian food.\"\n27355,2018/02/07,\"I had tacos for dinner with Andrew, Kayden, Emily, Carter\",\"I had tacos for dinner with Andrew, Kayden, Emily, Carter\"\n27356,2018/02/07,\"I talked to Rylee, Piper for 53 minutes during lunch hours.\",\"I talked to Rylee, Piper for 53 minutes during lunch hours.\"\n27357,2018/02/07,\"I talked to Avery, Claire, Eva for 19 minutes in the early afternoon.\",\"I talked to Avery, Claire, Eva for 19 minutes in the early afternoon.\"\n27358,2018/02/07,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n27359,2018/02/07,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n27360,2018/02/08,I did weight lifting on 2018/02/08.,I did weight lifting on 2018/02/08.\n27361,2018/02/08,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n27362,2018/02/08,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n27363,2018/02/08,I ate tacos for dinner.,I ate tacos for dinner.\n27364,2018/02/08,\"I talked to Hazel, Rylee for 5 minutes in the early afternoon.\",\"I talked to Hazel, Rylee for 5 minutes in the early afternoon.\"\n27365,2018/02/08,\"I spent 18 talking to Olivia, Hazel, Claire on various topics late in the evening.\",\"I spent 18 talking to Olivia, Hazel, Claire on various topics late in the evening.\"\n27366,2018/02/08,\"I talked to Hazel, Nora, Piper, Olivia for 28 minutes in the early afternoon.\",\"I talked to Hazel, Nora, Piper, Olivia for 28 minutes in the early afternoon.\"\n27367,2018/02/08,\"I spent 27 talking to Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 27 talking to Piper, Nevaeh on various topics in the early afternoon.\"\n27368,2018/02/08,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n27369,2018/02/08,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n27370,2018/02/09,I did running on 2018/02/09.,I did running on 2018/02/09.\n27371,2018/02/09,\"I had oatmeal for breakfast with Andrew, Carter\",\"I had oatmeal for breakfast with Andrew, Carter\"\n27372,2018/02/09,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n27373,2018/02/09,I had pasta for dinner with Carter,I had pasta for dinner with Carter\n27374,2018/02/09,\"I spent 46 talking to Nora, Eva on various topics in the early evening.\",\"I spent 46 talking to Nora, Eva on various topics in the early evening.\"\n27375,2018/02/09,I spent 29 talking to Avery on various topics during lunch hours.,I spent 29 talking to Avery on various topics during lunch hours.\n27376,2018/02/09,\"I talked to Kinsley, Lydia for 47 minutes in the early evening.\",\"I talked to Kinsley, Lydia for 47 minutes in the early evening.\"\n27377,2018/02/09,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n27378,2018/02/09,I spent 24 minutes watching a movie on TV today.,I spent 24 minutes watching a movie on TV today.\n27379,2018/02/10,\"I bought some pineapples, clementines, chocolate milk, mouth wash, shampoo, body lotion, conditioner online.\",\"I bought some pineapples, clementines, chocolate milk, mouth wash, shampoo, body lotion, conditioner online.\"\n27380,2018/02/10,I did weight lifting on 2018/02/10.,I did weight lifting on 2018/02/10.\n27381,2018/02/10,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n27382,2018/02/10,I ate indian food for lunch.,I ate indian food for lunch.\n27383,2018/02/10,I prepare steak for dinner.,I prepare steak for dinner.\n27384,2018/02/10,I spent 46 talking to Nevaeh on various topics in the morning.,I spent 46 talking to Nevaeh on various topics in the morning.\n27385,2018/02/10,I talked to Lydia for 24 minutes in the early evening.,I talked to Lydia for 24 minutes in the early evening.\n27386,2018/02/10,I spent 18 talking to Piper on various topics in the late afternoon.,I spent 18 talking to Piper on various topics in the late afternoon.\n27387,2018/02/10,\"I talked to Eva, Piper for 33 minutes in the early evening.\",\"I talked to Eva, Piper for 33 minutes in the early evening.\"\n27388,2018/02/10,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n27389,2018/02/10,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n27390,2018/02/11,\"I spent time working out on 2018/02/11 with Avery, Jackson, Benjamin.\",\"I spent time working out on 2018/02/11 with Avery, Jackson, Benjamin.\"\n27391,2018/02/11,I did HIIT on 2018/02/11.,I did HIIT on 2018/02/11.\n27392,2018/02/11,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n27393,2018/02/11,\"I had indian food for lunch with Avery, Jackson\",\"I had indian food for lunch with Avery, Jackson\"\n27394,2018/02/11,I had sandwich for dinner with Andrew,I had sandwich for dinner with Andrew\n27395,2018/02/11,\"I talked to Rylee, Olivia for 7 minutes in the early evening.\",\"I talked to Rylee, Olivia for 7 minutes in the early evening.\"\n27396,2018/02/11,\"I talked to Kinsley, Nevaeh, Eva, Piper for 18 minutes in the early afternoon.\",\"I talked to Kinsley, Nevaeh, Eva, Piper for 18 minutes in the early afternoon.\"\n27397,2018/02/11,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n27398,2018/02/11,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n27399,2018/02/12,\"I bought some blueberries, milk, sports drinks, mouthwash, shampoo, facial wash from the grocery store. I saw Andrew at the grocery store.\",\"I bought some blueberries, milk, sports drinks, mouthwash, shampoo, facial wash from the grocery store. I saw Andrew at the grocery store.\"\n27400,2018/02/12,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n27401,2018/02/12,\"I had steak for lunch with Nevaeh, Kinsley, Nora, Avery, Olivia\",\"I had steak for lunch with Nevaeh, Kinsley, Nora, Avery, Olivia\"\n27402,2018/02/12,I ate steak for dinner.,I ate steak for dinner.\n27403,2018/02/12,I talked to Avery for 29 minutes during lunch hours.,I talked to Avery for 29 minutes during lunch hours.\n27404,2018/02/12,\"I spent 14 talking to Piper, Lydia, Claire on various topics in the morning.\",\"I spent 14 talking to Piper, Lydia, Claire on various topics in the morning.\"\n27405,2018/02/12,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n27406,2018/02/12,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n27407,2018/02/13,I did weight lifting on 2018/02/13.,I did weight lifting on 2018/02/13.\n27408,2018/02/13,\"I had breakfast with Avery, Lydia, Hazel, Nevaeh, Nora. I ate oatmeal.\",\"I had breakfast with Avery, Lydia, Hazel, Nevaeh, Nora. I ate oatmeal.\"\n27409,2018/02/13,I ate a burger for lunch.,I ate a burger for lunch.\n27410,2018/02/13,\"I had pasta for dinner with Carter, Kayden, Andrew\",\"I had pasta for dinner with Carter, Kayden, Andrew\"\n27411,2018/02/13,\"I talked to Olivia, Layla for 12 minutes in the morning.\",\"I talked to Olivia, Layla for 12 minutes in the morning.\"\n27412,2018/02/13,\"I talked to Avery, Rylee for 10 minutes in the early evening.\",\"I talked to Avery, Rylee for 10 minutes in the early evening.\"\n27413,2018/02/13,I talked to Kinsley for 17 minutes in the morning.,I talked to Kinsley for 17 minutes in the morning.\n27414,2018/02/13,\"I talked to Kinsley, Hazel for 8 minutes in the early afternoon.\",\"I talked to Kinsley, Hazel for 8 minutes in the early afternoon.\"\n27415,2018/02/13,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n27416,2018/02/13,I watched a documentary for 29 minutes on TV today.,I watched a documentary for 29 minutes on TV today.\n27417,2018/02/14,I did running on 2018/02/14.,I did running on 2018/02/14.\n27418,2018/02/14,\"I had breakfast with Eva, Lydia, Nora, Piper, Piper, Olivia. I ate toast and cheese.\",\"I had breakfast with Eva, Lydia, Nora, Piper, Piper, Olivia. I ate toast and cheese.\"\n27419,2018/02/14,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n27420,2018/02/14,I had dinner. I ate steak.,I had dinner. I ate steak.\n27421,2018/02/14,\"I talked to Lydia, Nevaeh, Piper for 29 minutes late in the evening.\",\"I talked to Lydia, Nevaeh, Piper for 29 minutes late in the evening.\"\n27422,2018/02/14,\"I spent 39 talking to Avery, Kinsley, Hazel on various topics in the early evening.\",\"I spent 39 talking to Avery, Kinsley, Hazel on various topics in the early evening.\"\n27423,2018/02/14,I spent 9 talking to Olivia on various topics late in the evening.,I spent 9 talking to Olivia on various topics late in the evening.\n27424,2018/02/14,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n27425,2018/02/14,I watched a documentary for 49 minutes on TV today.,I watched a documentary for 49 minutes on TV today.\n27426,2018/02/15,I went on a date with Emilia on 2018/02/15 at a park,I went on a date with Emilia on 2018/02/15 at a park\n27427,2018/02/15,I did swimming on 2018/02/15.,I did swimming on 2018/02/15.\n27428,2018/02/15,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n27429,2018/02/15,\"I had sandwich for lunch with Piper, Claire, Hazel\",\"I had sandwich for lunch with Piper, Claire, Hazel\"\n27430,2018/02/15,\"I had pasta for dinner with Rylee, Olivia, Kinsley\",\"I had pasta for dinner with Rylee, Olivia, Kinsley\"\n27431,2018/02/15,I spent 17 talking to Nora on various topics in the morning.,I spent 17 talking to Nora on various topics in the morning.\n27432,2018/02/15,\"I spent 14 talking to Lydia, Nevaeh on various topics in the late afternoon.\",\"I spent 14 talking to Lydia, Nevaeh on various topics in the late afternoon.\"\n27433,2018/02/15,I talked to Lydia for 33 minutes in the late afternoon.,I talked to Lydia for 33 minutes in the late afternoon.\n27434,2018/02/15,I spent 35 talking to Eva on various topics during lunch hours.,I spent 35 talking to Eva on various topics during lunch hours.\n27435,2018/02/15,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n27436,2018/02/15,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n27437,2018/02/16,I did biking on 2018/02/16.,I did biking on 2018/02/16.\n27438,2018/02/16,\"I had cereals for breakfast with Benjamin, Jackson, Willow, Avery\",\"I had cereals for breakfast with Benjamin, Jackson, Willow, Avery\"\n27439,2018/02/16,I had lunch with Benjamin. I ate fish and chips.,I had lunch with Benjamin. I ate fish and chips.\n27440,2018/02/16,I ate pasta for dinner.,I ate pasta for dinner.\n27441,2018/02/16,\"I talked to Piper, Layla, Avery, Eva for 12 minutes in the late afternoon.\",\"I talked to Piper, Layla, Avery, Eva for 12 minutes in the late afternoon.\"\n27442,2018/02/16,\"I spent 49 talking to Hazel, Eva on various topics late in the evening.\",\"I spent 49 talking to Hazel, Eva on various topics late in the evening.\"\n27443,2018/02/16,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n27444,2018/02/16,I watched a documentary for 45 minutes on TV today.,I watched a documentary for 45 minutes on TV today.\n27445,2018/02/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n27446,2018/02/17,\"I had lunch with Nevaeh, Lydia, Piper, Layla, Claire. I ate chinese food.\",\"I had lunch with Nevaeh, Lydia, Piper, Layla, Claire. I ate chinese food.\"\n27447,2018/02/17,I ate steak for dinner.,I ate steak for dinner.\n27448,2018/02/17,\"I talked to Hazel, Lydia, Rylee for 24 minutes in the late afternoon.\",\"I talked to Hazel, Lydia, Rylee for 24 minutes in the late afternoon.\"\n27449,2018/02/17,\"I talked to Nevaeh, Avery for 51 minutes in the early afternoon.\",\"I talked to Nevaeh, Avery for 51 minutes in the early afternoon.\"\n27450,2018/02/17,I spent 32 talking to Eva on various topics in the early afternoon.,I spent 32 talking to Eva on various topics in the early afternoon.\n27451,2018/02/17,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n27452,2018/02/17,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n27453,2018/02/18,\"I bought some apricots, raspberries, mangos, orange juice, guava juice, mouthwash, toothbrush, toothpaste online.\",\"I bought some apricots, raspberries, mangos, orange juice, guava juice, mouthwash, toothbrush, toothpaste online.\"\n27454,2018/02/18,I did biking on 2018/02/18.,I did biking on 2018/02/18.\n27455,2018/02/18,\"I had eggs, sausages, and bread for breakfast with Emily\",\"I had eggs, sausages, and bread for breakfast with Emily\"\n27456,2018/02/18,\"I had sandwich for lunch with Lydia, Layla, Nora, Rylee, Kinsley, Hazel, Piper, Eva, Olivia, Avery, Nevaeh, Claire, Piper\",\"I had sandwich for lunch with Lydia, Layla, Nora, Rylee, Kinsley, Hazel, Piper, Eva, Olivia, Avery, Nevaeh, Claire, Piper\"\n27457,2018/02/18,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n27458,2018/02/18,I spent 32 talking to Piper on various topics in the morning.,I spent 32 talking to Piper on various topics in the morning.\n27459,2018/02/18,\"I spent 21 talking to Kinsley, Avery, Eva, Nora on various topics late in the evening.\",\"I spent 21 talking to Kinsley, Avery, Eva, Nora on various topics late in the evening.\"\n27460,2018/02/18,\"I spent 13 talking to Claire, Kinsley, Lydia, Nora on various topics late in the evening.\",\"I spent 13 talking to Claire, Kinsley, Lydia, Nora on various topics late in the evening.\"\n27461,2018/02/18,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n27462,2018/02/18,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n27463,2018/02/19,I spent time gardening on 2018/02/19 with Avery.,I spent time gardening on 2018/02/19 with Avery.\n27464,2018/02/19,I did running on 2018/02/19.,I did running on 2018/02/19.\n27465,2018/02/19,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n27466,2018/02/19,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n27467,2018/02/19,I ate sushi for dinner.,I ate sushi for dinner.\n27468,2018/02/19,I talked to Piper for 6 minutes in the early evening.,I talked to Piper for 6 minutes in the early evening.\n27469,2018/02/19,\"I talked to Piper, Lydia, Nora, Eva for 29 minutes during lunch hours.\",\"I talked to Piper, Lydia, Nora, Eva for 29 minutes during lunch hours.\"\n27470,2018/02/19,\"I talked to Eva, Olivia, Piper, Layla for 39 minutes in the early afternoon.\",\"I talked to Eva, Olivia, Piper, Layla for 39 minutes in the early afternoon.\"\n27471,2018/02/19,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n27472,2018/02/19,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n27473,2018/02/20,\"I entertained Emily at my place on 2018/02/20 and cook turkey shepherd’s pie, macaroni and cheese, tender salsa beef\",\"I entertained Emily at my place on 2018/02/20 and cook turkey shepherd’s pie, macaroni and cheese, tender salsa beef\"\n27474,2018/02/20,I did swimming on 2018/02/20.,I did swimming on 2018/02/20.\n27475,2018/02/20,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n27476,2018/02/20,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n27477,2018/02/20,I ate chinese food for dinner.,I ate chinese food for dinner.\n27478,2018/02/20,\"I talked to Rylee, Layla, Avery for 38 minutes late in the evening.\",\"I talked to Rylee, Layla, Avery for 38 minutes late in the evening.\"\n27479,2018/02/20,\"I spent 6 talking to Hazel, Layla, Piper, Nevaeh on various topics in the morning.\",\"I spent 6 talking to Hazel, Layla, Piper, Nevaeh on various topics in the morning.\"\n27480,2018/02/20,\"I talked to Avery, Layla for 7 minutes in the late afternoon.\",\"I talked to Avery, Layla for 7 minutes in the late afternoon.\"\n27481,2018/02/20,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n27482,2018/02/20,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n27483,2018/02/21,\"On 2018/02/21, I took Piper on a date to a restaurant\",\"On 2018/02/21, I took Piper on a date to a restaurant\"\n27484,2018/02/21,\"I bought some mandarins, blueberries, milk, toilet paper, body lotion online.\",\"I bought some mandarins, blueberries, milk, toilet paper, body lotion online.\"\n27485,2018/02/21,I did HIIT on 2018/02/21.,I did HIIT on 2018/02/21.\n27486,2018/02/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n27487,2018/02/21,\"I had a burger for lunch with Layla, Olivia, Avery, Nevaeh, Lydia, Piper\",\"I had a burger for lunch with Layla, Olivia, Avery, Nevaeh, Lydia, Piper\"\n27488,2018/02/21,I ate indian food for dinner.,I ate indian food for dinner.\n27489,2018/02/21,I spent 39 talking to Lydia on various topics during lunch hours.,I spent 39 talking to Lydia on various topics during lunch hours.\n27490,2018/02/21,\"I spent 38 talking to Eva, Nevaeh, Avery on various topics in the late afternoon.\",\"I spent 38 talking to Eva, Nevaeh, Avery on various topics in the late afternoon.\"\n27491,2018/02/21,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n27492,2018/02/21,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n27493,2018/02/22,\"I bought some strawberries, tea, apple juice, paper towel, shampoo, conditioner from the grocery store. I saw Andrew, Carter at the grocery store.\",\"I bought some strawberries, tea, apple juice, paper towel, shampoo, conditioner from the grocery store. I saw Andrew, Carter at the grocery store.\"\n27494,2018/02/22,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n27495,2018/02/22,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n27496,2018/02/22,I ate sandwich for dinner.,I ate sandwich for dinner.\n27497,2018/02/22,\"I talked to Olivia, Piper, Kinsley, Layla for 25 minutes late in the evening.\",\"I talked to Olivia, Piper, Kinsley, Layla for 25 minutes late in the evening.\"\n27498,2018/02/22,I spent 53 talking to Piper on various topics in the late afternoon.,I spent 53 talking to Piper on various topics in the late afternoon.\n27499,2018/02/22,\"I talked to Piper, Hazel for 27 minutes in the late afternoon.\",\"I talked to Piper, Hazel for 27 minutes in the late afternoon.\"\n27500,2018/02/22,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n27501,2018/02/22,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n27502,2018/02/23,\"On 2018/02/23, I took Grace on a date to a park\",\"On 2018/02/23, I took Grace on a date to a park\"\n27503,2018/02/23,I did swimming on 2018/02/23.,I did swimming on 2018/02/23.\n27504,2018/02/23,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n27505,2018/02/23,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n27506,2018/02/23,\"I had sushi for dinner with Lydia, Hazel, Kinsley, Piper, Nora, Claire, Eva\",\"I had sushi for dinner with Lydia, Hazel, Kinsley, Piper, Nora, Claire, Eva\"\n27507,2018/02/23,\"I talked to Piper, Lydia, Eva for 49 minutes late in the evening.\",\"I talked to Piper, Lydia, Eva for 49 minutes late in the evening.\"\n27508,2018/02/23,I spent 34 talking to Lydia on various topics in the morning.,I spent 34 talking to Lydia on various topics in the morning.\n27509,2018/02/23,\"I spent 15 talking to Kinsley, Layla, Rylee on various topics in the early afternoon.\",\"I spent 15 talking to Kinsley, Layla, Rylee on various topics in the early afternoon.\"\n27510,2018/02/23,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n27511,2018/02/23,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n27512,2018/02/24,I spent some time working out on 2018/02/24.,I spent some time working out on 2018/02/24.\n27513,2018/02/24,I did HIIT on 2018/02/24.,I did HIIT on 2018/02/24.\n27514,2018/02/24,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n27515,2018/02/24,\"I had sandwich for lunch with Eva, Piper\",\"I had sandwich for lunch with Eva, Piper\"\n27516,2018/02/24,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n27517,2018/02/24,\"I spent 13 talking to Nora, Hazel on various topics in the early evening.\",\"I spent 13 talking to Nora, Hazel on various topics in the early evening.\"\n27518,2018/02/24,\"I talked to Layla, Eva for 8 minutes in the early afternoon.\",\"I talked to Layla, Eva for 8 minutes in the early afternoon.\"\n27519,2018/02/24,I spent 36 talking to Olivia on various topics in the early afternoon.,I spent 36 talking to Olivia on various topics in the early afternoon.\n27520,2018/02/24,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n27521,2018/02/24,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n27522,2018/02/25,I did weight lifting on 2018/02/25.,I did weight lifting on 2018/02/25.\n27523,2018/02/25,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n27524,2018/02/25,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n27525,2018/02/25,\"I had a burger for dinner with Nevaeh, Claire\",\"I had a burger for dinner with Nevaeh, Claire\"\n27526,2018/02/25,\"I talked to Piper, Eva for 34 minutes late in the evening.\",\"I talked to Piper, Eva for 34 minutes late in the evening.\"\n27527,2018/02/25,I talked to Hazel for 6 minutes in the early afternoon.,I talked to Hazel for 6 minutes in the early afternoon.\n27528,2018/02/25,\"I talked to Avery, Claire, Olivia for 12 minutes in the late afternoon.\",\"I talked to Avery, Claire, Olivia for 12 minutes in the late afternoon.\"\n27529,2018/02/25,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n27530,2018/02/25,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n27531,2018/02/26,I did hiking on 2018/02/26.,I did hiking on 2018/02/26.\n27532,2018/02/26,\"I had pancakes for breakfast with Piper, Nora, Kinsley, Eva, Layla, Claire, Lydia\",\"I had pancakes for breakfast with Piper, Nora, Kinsley, Eva, Layla, Claire, Lydia\"\n27533,2018/02/26,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n27534,2018/02/26,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n27535,2018/02/26,\"I talked to Lydia, Piper, Olivia, Layla for 21 minutes late in the evening.\",\"I talked to Lydia, Piper, Olivia, Layla for 21 minutes late in the evening.\"\n27536,2018/02/26,I spent 32 talking to Layla on various topics during lunch hours.,I spent 32 talking to Layla on various topics during lunch hours.\n27537,2018/02/26,I talked to Eva for 37 minutes in the early afternoon.,I talked to Eva for 37 minutes in the early afternoon.\n27538,2018/02/26,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n27539,2018/02/26,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n27540,2018/02/27,I did running on 2018/02/27.,I did running on 2018/02/27.\n27541,2018/02/27,\"I had pancakes for breakfast with Rylee, Lydia, Piper, Eva, Hazel, Piper, Claire\",\"I had pancakes for breakfast with Rylee, Lydia, Piper, Eva, Hazel, Piper, Claire\"\n27542,2018/02/27,I prepare pasta for lunch.,I prepare pasta for lunch.\n27543,2018/02/27,I had dinner. I ate steak.,I had dinner. I ate steak.\n27544,2018/02/27,I talked to Piper for 6 minutes in the early afternoon.,I talked to Piper for 6 minutes in the early afternoon.\n27545,2018/02/27,\"I spent 19 talking to Olivia, Claire, Rylee on various topics in the late afternoon.\",\"I spent 19 talking to Olivia, Claire, Rylee on various topics in the late afternoon.\"\n27546,2018/02/27,\"I talked to Avery, Layla, Nora, Kinsley for 11 minutes in the late afternoon.\",\"I talked to Avery, Layla, Nora, Kinsley for 11 minutes in the late afternoon.\"\n27547,2018/02/27,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n27548,2018/02/27,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n27549,2018/02/28,I really enjoyed gardening on 2018/02/28,I really enjoyed gardening on 2018/02/28\n27550,2018/02/28,\"I went grocery shopping. I bought some bananas, apricots, coffee, soda, mineral water, sports drinks, and conditioner, toothbrush, mouthwash\",\"I went grocery shopping. I bought some bananas, apricots, coffee, soda, mineral water, sports drinks, and conditioner, toothbrush, mouthwash\"\n27551,2018/02/28,I did HIIT on 2018/02/28.,I did HIIT on 2018/02/28.\n27552,2018/02/28,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n27553,2018/02/28,\"I had tacos for lunch with Emily, Andrew, Kayden\",\"I had tacos for lunch with Emily, Andrew, Kayden\"\n27554,2018/02/28,\"I had fish and chips for dinner with Layla, Hazel\",\"I had fish and chips for dinner with Layla, Hazel\"\n27555,2018/02/28,\"I talked to Lydia, Hazel for 55 minutes in the early afternoon.\",\"I talked to Lydia, Hazel for 55 minutes in the early afternoon.\"\n27556,2018/02/28,\"I spent 17 talking to Rylee, Olivia, Piper on various topics in the late afternoon.\",\"I spent 17 talking to Rylee, Olivia, Piper on various topics in the late afternoon.\"\n27557,2018/02/28,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n27558,2018/02/28,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n27559,2018/03/01,I went on a date with Violet on 2018/03/01 at a restaurant,I went on a date with Violet on 2018/03/01 at a restaurant\n27560,2018/03/01,\"I went grocery shopping with Avery, Willow, Benjamin, Jackson. I bought some apricots, mandarins, raspberries, tea, guava juice, and mouthwash, toilet paper\",\"I went grocery shopping with Avery, Willow, Benjamin, Jackson. I bought some apricots, mandarins, raspberries, tea, guava juice, and mouthwash, toilet paper\"\n27561,2018/03/01,I did swimming on 2018/03/01.,I did swimming on 2018/03/01.\n27562,2018/03/01,\"I had breakfast with Eva, Piper, Rylee. I ate eggs, sausages, and bread.\",\"I had breakfast with Eva, Piper, Rylee. I ate eggs, sausages, and bread.\"\n27563,2018/03/01,\"I had lunch with Andrew, Carter, Kayden. I ate sushi.\",\"I had lunch with Andrew, Carter, Kayden. I ate sushi.\"\n27564,2018/03/01,I had a burger for dinner with Willow,I had a burger for dinner with Willow\n27565,2018/03/01,\"I talked to Eva, Avery for 18 minutes in the early evening.\",\"I talked to Eva, Avery for 18 minutes in the early evening.\"\n27566,2018/03/01,I spent 18 talking to Rylee on various topics in the late afternoon.,I spent 18 talking to Rylee on various topics in the late afternoon.\n27567,2018/03/01,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n27568,2018/03/01,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n27569,2018/03/02,I did swimming on 2018/03/02.,I did swimming on 2018/03/02.\n27570,2018/03/02,\"I had breakfast with Jackson, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Willow. I ate eggs, sausages, and bread.\"\n27571,2018/03/02,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n27572,2018/03/02,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n27573,2018/03/02,I spent 23 talking to Layla on various topics during lunch hours.,I spent 23 talking to Layla on various topics during lunch hours.\n27574,2018/03/02,\"I talked to Eva, Kinsley for 54 minutes in the early afternoon.\",\"I talked to Eva, Kinsley for 54 minutes in the early afternoon.\"\n27575,2018/03/02,\"I talked to Eva, Olivia, Nevaeh, Kinsley for 40 minutes in the early evening.\",\"I talked to Eva, Olivia, Nevaeh, Kinsley for 40 minutes in the early evening.\"\n27576,2018/03/02,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n27577,2018/03/02,I spent 39 minutes watching a tv series on TV today.,I spent 39 minutes watching a tv series on TV today.\n27578,2018/03/03,I did running on 2018/03/03.,I did running on 2018/03/03.\n27579,2018/03/03,I had breakfast with Carter. I ate toast and cheese.,I had breakfast with Carter. I ate toast and cheese.\n27580,2018/03/03,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n27581,2018/03/03,\"I had dinner with Emily, Andrew, Carter, Kayden. I ate sandwich.\",\"I had dinner with Emily, Andrew, Carter, Kayden. I ate sandwich.\"\n27582,2018/03/03,\"I spent 52 talking to Olivia, Piper, Hazel, Layla on various topics in the early afternoon.\",\"I spent 52 talking to Olivia, Piper, Hazel, Layla on various topics in the early afternoon.\"\n27583,2018/03/03,I talked to Olivia for 29 minutes in the morning.,I talked to Olivia for 29 minutes in the morning.\n27584,2018/03/03,I spent 31 talking to Nevaeh on various topics during lunch hours.,I spent 31 talking to Nevaeh on various topics during lunch hours.\n27585,2018/03/03,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n27586,2018/03/03,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n27587,2018/03/04,I really enjoyed learning a language on 2018/03/04,I really enjoyed learning a language on 2018/03/04\n27588,2018/03/04,I did biking on 2018/03/04.,I did biking on 2018/03/04.\n27589,2018/03/04,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n27590,2018/03/04,I ate steak for lunch.,I ate steak for lunch.\n27591,2018/03/04,\"I had sandwich for dinner with Jackson, Benjamin\",\"I had sandwich for dinner with Jackson, Benjamin\"\n27592,2018/03/04,\"I spent 39 talking to Rylee, Hazel, Lydia, Layla on various topics in the morning.\",\"I spent 39 talking to Rylee, Hazel, Lydia, Layla on various topics in the morning.\"\n27593,2018/03/04,\"I talked to Rylee, Nevaeh for 9 minutes during lunch hours.\",\"I talked to Rylee, Nevaeh for 9 minutes during lunch hours.\"\n27594,2018/03/04,\"I talked to Piper, Claire, Eva, Avery for 21 minutes in the late afternoon.\",\"I talked to Piper, Claire, Eva, Avery for 21 minutes in the late afternoon.\"\n27595,2018/03/04,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n27596,2018/03/04,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n27597,2018/03/05,I did biking on 2018/03/05.,I did biking on 2018/03/05.\n27598,2018/03/05,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n27599,2018/03/05,I ate steak for lunch.,I ate steak for lunch.\n27600,2018/03/05,\"I had pasta for dinner with Kayden, Andrew\",\"I had pasta for dinner with Kayden, Andrew\"\n27601,2018/03/05,\"I talked to Eva, Rylee for 20 minutes in the early afternoon.\",\"I talked to Eva, Rylee for 20 minutes in the early afternoon.\"\n27602,2018/03/05,\"I spent 47 talking to Rylee, Nevaeh on various topics in the early evening.\",\"I spent 47 talking to Rylee, Nevaeh on various topics in the early evening.\"\n27603,2018/03/05,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n27604,2018/03/05,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n27605,2018/03/06,\"On 2018/03/06, I took Madeline on a date to a boba shop\",\"On 2018/03/06, I took Madeline on a date to a boba shop\"\n27606,2018/03/06,I did hiking on 2018/03/06.,I did hiking on 2018/03/06.\n27607,2018/03/06,\"I had oatmeal for breakfast with Carter, Kayden, Andrew\",\"I had oatmeal for breakfast with Carter, Kayden, Andrew\"\n27608,2018/03/06,I prepare tacos for lunch.,I prepare tacos for lunch.\n27609,2018/03/06,I ate tacos for dinner.,I ate tacos for dinner.\n27610,2018/03/06,\"I talked to Eva, Piper, Nevaeh, Avery for 47 minutes in the early afternoon.\",\"I talked to Eva, Piper, Nevaeh, Avery for 47 minutes in the early afternoon.\"\n27611,2018/03/06,I talked to Piper for 14 minutes in the early evening.,I talked to Piper for 14 minutes in the early evening.\n27612,2018/03/06,\"I spent 10 talking to Hazel, Nevaeh, Piper, Layla on various topics in the early evening.\",\"I spent 10 talking to Hazel, Nevaeh, Piper, Layla on various topics in the early evening.\"\n27613,2018/03/06,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n27614,2018/03/06,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n27615,2018/03/07,\"I went grocery shopping. I bought some blackberries, pineapples, mangos, strawberries, coffee, mineral water, pineapple juice, milk, and facial wash, conditioner\",\"I went grocery shopping. I bought some blackberries, pineapples, mangos, strawberries, coffee, mineral water, pineapple juice, milk, and facial wash, conditioner\"\n27616,2018/03/07,I did HIIT on 2018/03/07.,I did HIIT on 2018/03/07.\n27617,2018/03/07,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n27618,2018/03/07,\"I had lunch with Kayden, Carter. I ate a burger.\",\"I had lunch with Kayden, Carter. I ate a burger.\"\n27619,2018/03/07,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n27620,2018/03/07,\"I spent 20 talking to Piper, Lydia on various topics late in the evening.\",\"I spent 20 talking to Piper, Lydia on various topics late in the evening.\"\n27621,2018/03/07,I spent 22 talking to Layla on various topics in the early afternoon.,I spent 22 talking to Layla on various topics in the early afternoon.\n27622,2018/03/07,\"I spent 52 talking to Olivia, Nevaeh, Lydia on various topics in the early evening.\",\"I spent 52 talking to Olivia, Nevaeh, Lydia on various topics in the early evening.\"\n27623,2018/03/07,I talked to Nora for 9 minutes in the morning.,I talked to Nora for 9 minutes in the morning.\n27624,2018/03/07,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n27625,2018/03/07,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n27626,2018/03/08,I did biking on 2018/03/08.,I did biking on 2018/03/08.\n27627,2018/03/08,I ate cereals for breakfast.,I ate cereals for breakfast.\n27628,2018/03/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n27629,2018/03/08,\"I had dinner with Lydia, Piper, Avery, Claire, Rylee, Piper, Hazel, Eva, Olivia, Nora. I ate tacos.\",\"I had dinner with Lydia, Piper, Avery, Claire, Rylee, Piper, Hazel, Eva, Olivia, Nora. I ate tacos.\"\n27630,2018/03/08,\"I spent 35 talking to Hazel, Kinsley, Piper on various topics in the late afternoon.\",\"I spent 35 talking to Hazel, Kinsley, Piper on various topics in the late afternoon.\"\n27631,2018/03/08,\"I spent 15 talking to Nevaeh, Piper on various topics in the morning.\",\"I spent 15 talking to Nevaeh, Piper on various topics in the morning.\"\n27632,2018/03/08,\"I talked to Nevaeh, Kinsley, Olivia, Piper for 17 minutes in the late afternoon.\",\"I talked to Nevaeh, Kinsley, Olivia, Piper for 17 minutes in the late afternoon.\"\n27633,2018/03/08,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n27634,2018/03/08,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n27635,2018/03/09,I really enjoyed working out on 2018/03/09,I really enjoyed working out on 2018/03/09\n27636,2018/03/09,I did swimming on 2018/03/09.,I did swimming on 2018/03/09.\n27637,2018/03/09,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n27638,2018/03/09,\"I had lunch with Jackson, Benjamin, Avery, Willow. I ate fish and chips.\",\"I had lunch with Jackson, Benjamin, Avery, Willow. I ate fish and chips.\"\n27639,2018/03/09,I ate steak for dinner.,I ate steak for dinner.\n27640,2018/03/09,I spent 21 talking to Nevaeh on various topics during lunch hours.,I spent 21 talking to Nevaeh on various topics during lunch hours.\n27641,2018/03/09,I talked to Olivia for 44 minutes in the late afternoon.,I talked to Olivia for 44 minutes in the late afternoon.\n27642,2018/03/09,\"I talked to Eva, Lydia, Nora, Avery for 7 minutes late in the evening.\",\"I talked to Eva, Lydia, Nora, Avery for 7 minutes late in the evening.\"\n27643,2018/03/09,\"I talked to Claire, Nevaeh for 8 minutes in the early afternoon.\",\"I talked to Claire, Nevaeh for 8 minutes in the early afternoon.\"\n27644,2018/03/09,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n27645,2018/03/09,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n27646,2018/03/10,I did biking on 2018/03/10.,I did biking on 2018/03/10.\n27647,2018/03/10,\"I had peanut-butter-jam for breakfast with Carter, Andrew\",\"I had peanut-butter-jam for breakfast with Carter, Andrew\"\n27648,2018/03/10,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n27649,2018/03/10,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n27650,2018/03/10,I spent 39 talking to Nevaeh on various topics late in the evening.,I spent 39 talking to Nevaeh on various topics late in the evening.\n27651,2018/03/10,I spent 29 talking to Olivia on various topics late in the evening.,I spent 29 talking to Olivia on various topics late in the evening.\n27652,2018/03/10,I spent 53 talking to Eva on various topics in the late afternoon.,I spent 53 talking to Eva on various topics in the late afternoon.\n27653,2018/03/10,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n27654,2018/03/10,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n27655,2018/03/11,\"I went grocery shopping with Emily, Andrew, Carter, Kayden. I bought some watermelons, raspberries, mangos, tea, milk, sports drinks, coffee, and mouthwash\",\"I went grocery shopping with Emily, Andrew, Carter, Kayden. I bought some watermelons, raspberries, mangos, tea, milk, sports drinks, coffee, and mouthwash\"\n27656,2018/03/11,I did HIIT on 2018/03/11.,I did HIIT on 2018/03/11.\n27657,2018/03/11,\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew, Emily\",\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew, Emily\"\n27658,2018/03/11,I ate chinese food for lunch.,I ate chinese food for lunch.\n27659,2018/03/11,\"I had dinner with Rylee, Lydia, Nora, Avery, Layla, Kinsley, Piper, Piper, Claire, Hazel, Eva. I ate steak.\",\"I had dinner with Rylee, Lydia, Nora, Avery, Layla, Kinsley, Piper, Piper, Claire, Hazel, Eva. I ate steak.\"\n27660,2018/03/11,\"I talked to Piper, Avery for 22 minutes late in the evening.\",\"I talked to Piper, Avery for 22 minutes late in the evening.\"\n27661,2018/03/11,\"I talked to Layla, Nevaeh for 34 minutes in the early evening.\",\"I talked to Layla, Nevaeh for 34 minutes in the early evening.\"\n27662,2018/03/11,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n27663,2018/03/11,I watched news for 36 minutes on TV today.,I watched news for 36 minutes on TV today.\n27664,2018/03/12,I did hiking on 2018/03/12.,I did hiking on 2018/03/12.\n27665,2018/03/12,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n27666,2018/03/12,\"I had indian food for lunch with Emily, Kayden, Andrew\",\"I had indian food for lunch with Emily, Kayden, Andrew\"\n27667,2018/03/12,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n27668,2018/03/12,I spent 26 talking to Olivia on various topics during lunch hours.,I spent 26 talking to Olivia on various topics during lunch hours.\n27669,2018/03/12,\"I spent 17 talking to Nora, Lydia, Claire, Eva on various topics in the early afternoon.\",\"I spent 17 talking to Nora, Lydia, Claire, Eva on various topics in the early afternoon.\"\n27670,2018/03/12,\"I spent 12 talking to Nora, Layla, Olivia, Avery on various topics in the early evening.\",\"I spent 12 talking to Nora, Layla, Olivia, Avery on various topics in the early evening.\"\n27671,2018/03/12,\"I talked to Nevaeh, Layla, Kinsley, Piper for 27 minutes in the early evening.\",\"I talked to Nevaeh, Layla, Kinsley, Piper for 27 minutes in the early evening.\"\n27672,2018/03/12,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n27673,2018/03/12,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n27674,2018/03/13,I did hiking on 2018/03/13.,I did hiking on 2018/03/13.\n27675,2018/03/13,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n27676,2018/03/13,I ate steak for lunch.,I ate steak for lunch.\n27677,2018/03/13,\"I had chinese food for dinner with Kayden, Emily, Carter, Andrew\",\"I had chinese food for dinner with Kayden, Emily, Carter, Andrew\"\n27678,2018/03/13,\"I spent 30 talking to Lydia, Avery on various topics in the late afternoon.\",\"I spent 30 talking to Lydia, Avery on various topics in the late afternoon.\"\n27679,2018/03/13,I spent 52 talking to Claire on various topics in the late afternoon.,I spent 52 talking to Claire on various topics in the late afternoon.\n27680,2018/03/13,\"I spent 45 talking to Claire, Nora, Kinsley on various topics in the early afternoon.\",\"I spent 45 talking to Claire, Nora, Kinsley on various topics in the early afternoon.\"\n27681,2018/03/13,\"I spent 42 talking to Piper, Layla, Olivia, Hazel on various topics in the morning.\",\"I spent 42 talking to Piper, Layla, Olivia, Hazel on various topics in the morning.\"\n27682,2018/03/13,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n27683,2018/03/13,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n27684,2018/03/14,I did HIIT on 2018/03/14.,I did HIIT on 2018/03/14.\n27685,2018/03/14,\"I had pancakes for breakfast with Jackson, Benjamin\",\"I had pancakes for breakfast with Jackson, Benjamin\"\n27686,2018/03/14,I prepare indian food for lunch.,I prepare indian food for lunch.\n27687,2018/03/14,I ate sandwich for dinner.,I ate sandwich for dinner.\n27688,2018/03/14,\"I talked to Piper, Lydia, Avery, Hazel for 13 minutes in the early afternoon.\",\"I talked to Piper, Lydia, Avery, Hazel for 13 minutes in the early afternoon.\"\n27689,2018/03/14,\"I spent 35 talking to Avery, Layla on various topics in the late afternoon.\",\"I spent 35 talking to Avery, Layla on various topics in the late afternoon.\"\n27690,2018/03/14,I talked to Kinsley for 40 minutes during lunch hours.,I talked to Kinsley for 40 minutes during lunch hours.\n27691,2018/03/14,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n27692,2018/03/14,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n27693,2018/03/15,I did hiking on 2018/03/15.,I did hiking on 2018/03/15.\n27694,2018/03/15,\"I had cereals for breakfast with Andrew, Emily\",\"I had cereals for breakfast with Andrew, Emily\"\n27695,2018/03/15,\"I had sushi for lunch with Emily, Carter, Kayden, Andrew\",\"I had sushi for lunch with Emily, Carter, Kayden, Andrew\"\n27696,2018/03/15,I prepare tacos for dinner.,I prepare tacos for dinner.\n27697,2018/03/15,\"I spent 5 talking to Piper, Lydia on various topics in the early evening.\",\"I spent 5 talking to Piper, Lydia on various topics in the early evening.\"\n27698,2018/03/15,\"I talked to Nora, Olivia, Rylee, Piper for 46 minutes during lunch hours.\",\"I talked to Nora, Olivia, Rylee, Piper for 46 minutes during lunch hours.\"\n27699,2018/03/15,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n27700,2018/03/15,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n27701,2018/03/16,\"I went grocery shopping with Avery. I bought some mangos, pears, milk, soda, apple juice, and toilet paper, mouthwash, toothpaste, toothbrush\",\"I went grocery shopping with Avery. I bought some mangos, pears, milk, soda, apple juice, and toilet paper, mouthwash, toothpaste, toothbrush\"\n27702,2018/03/16,I did weight lifting on 2018/03/16.,I did weight lifting on 2018/03/16.\n27703,2018/03/16,I ate cereals for breakfast.,I ate cereals for breakfast.\n27704,2018/03/16,I ate sushi for lunch.,I ate sushi for lunch.\n27705,2018/03/16,I ate tacos for dinner.,I ate tacos for dinner.\n27706,2018/03/16,I spent 15 talking to Olivia on various topics in the early evening.,I spent 15 talking to Olivia on various topics in the early evening.\n27707,2018/03/16,I talked to Hazel for 36 minutes in the early afternoon.,I talked to Hazel for 36 minutes in the early afternoon.\n27708,2018/03/16,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n27709,2018/03/16,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n27710,2018/03/17,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n27711,2018/03/17,I prepare indian food for lunch.,I prepare indian food for lunch.\n27712,2018/03/17,I ate pasta for dinner.,I ate pasta for dinner.\n27713,2018/03/17,\"I spent 36 talking to Piper, Hazel, Nevaeh on various topics in the early evening.\",\"I spent 36 talking to Piper, Hazel, Nevaeh on various topics in the early evening.\"\n27714,2018/03/17,\"I spent 27 talking to Piper, Nora, Olivia on various topics during lunch hours.\",\"I spent 27 talking to Piper, Nora, Olivia on various topics during lunch hours.\"\n27715,2018/03/17,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n27716,2018/03/17,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n27717,2018/03/18,I did swimming on 2018/03/18.,I did swimming on 2018/03/18.\n27718,2018/03/18,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n27719,2018/03/18,I ate sushi for lunch.,I ate sushi for lunch.\n27720,2018/03/18,\"I had steak for dinner with Jackson, Benjamin, Willow\",\"I had steak for dinner with Jackson, Benjamin, Willow\"\n27721,2018/03/18,I talked to Nora for 49 minutes in the late afternoon.,I talked to Nora for 49 minutes in the late afternoon.\n27722,2018/03/18,\"I talked to Olivia, Piper, Rylee for 49 minutes during lunch hours.\",\"I talked to Olivia, Piper, Rylee for 49 minutes during lunch hours.\"\n27723,2018/03/18,\"I talked to Hazel, Olivia, Eva, Nora for 22 minutes in the morning.\",\"I talked to Hazel, Olivia, Eva, Nora for 22 minutes in the morning.\"\n27724,2018/03/18,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n27725,2018/03/18,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n27726,2018/03/19,I really enjoyed meditation on 2018/03/19,I really enjoyed meditation on 2018/03/19\n27727,2018/03/19,I did swimming on 2018/03/19.,I did swimming on 2018/03/19.\n27728,2018/03/19,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n27729,2018/03/19,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n27730,2018/03/19,\"I had pasta for dinner with Claire, Rylee, Hazel, Avery, Piper, Layla, Eva, Kinsley, Nevaeh, Piper\",\"I had pasta for dinner with Claire, Rylee, Hazel, Avery, Piper, Layla, Eva, Kinsley, Nevaeh, Piper\"\n27731,2018/03/19,\"I talked to Rylee, Lydia, Nevaeh, Piper for 44 minutes in the late afternoon.\",\"I talked to Rylee, Lydia, Nevaeh, Piper for 44 minutes in the late afternoon.\"\n27732,2018/03/19,\"I spent 15 talking to Piper, Olivia, Rylee, Nora on various topics in the early afternoon.\",\"I spent 15 talking to Piper, Olivia, Rylee, Nora on various topics in the early afternoon.\"\n27733,2018/03/19,\"I talked to Piper, Piper, Hazel, Rylee for 41 minutes in the early afternoon.\",\"I talked to Piper, Piper, Hazel, Rylee for 41 minutes in the early afternoon.\"\n27734,2018/03/19,I talked to Olivia for 44 minutes during lunch hours.,I talked to Olivia for 44 minutes during lunch hours.\n27735,2018/03/19,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n27736,2018/03/19,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n27737,2018/03/20,\"On 2018/03/20 Avery and I went to Seoul, South Korea together for 6 days \",\"On 2018/03/20 Avery and I went to Seoul, South Korea together for 6 days \"\n27738,2018/03/20,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n27739,2018/03/20,I prepare pasta for lunch.,I prepare pasta for lunch.\n27740,2018/03/20,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n27741,2018/03/20,I spent 14 talking to Avery on various topics during lunch hours.,I spent 14 talking to Avery on various topics during lunch hours.\n27742,2018/03/20,I spent 38 talking to Claire on various topics during lunch hours.,I spent 38 talking to Claire on various topics during lunch hours.\n27743,2018/03/20,I spent 28 talking to Eva on various topics late in the evening.,I spent 28 talking to Eva on various topics late in the evening.\n27744,2018/03/20,\"I talked to Layla, Olivia, Rylee, Kinsley for 16 minutes in the morning.\",\"I talked to Layla, Olivia, Rylee, Kinsley for 16 minutes in the morning.\"\n27745,2018/03/20,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n27746,2018/03/20,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n27747,2018/03/21,\"During my trip to Seoul, South Korea, I visited Lotte World Tower on 2018/03 with Avery.\",\"During my trip to Seoul, South Korea, I visited Lotte World Tower on 2018/03 with Avery.\"\n27748,2018/03/21,\"I ate street food at Common Ground with Avery on  2018/03/21 when I was in Seoul, South Korea.\",\"I ate street food at Common Ground with Avery on  2018/03/21 when I was in Seoul, South Korea.\"\n27749,2018/03/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n27750,2018/03/21,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n27751,2018/03/21,\"I had dinner with Kayden, Andrew, Carter, Emily. I ate fish and chips.\",\"I had dinner with Kayden, Andrew, Carter, Emily. I ate fish and chips.\"\n27752,2018/03/21,I talked to Nevaeh for 34 minutes in the morning.,I talked to Nevaeh for 34 minutes in the morning.\n27753,2018/03/21,\"I spent 32 talking to Claire, Nevaeh, Lydia, Rylee on various topics in the morning.\",\"I spent 32 talking to Claire, Nevaeh, Lydia, Rylee on various topics in the morning.\"\n27754,2018/03/21,\"I talked to Eva, Hazel, Layla, Piper for 18 minutes in the late afternoon.\",\"I talked to Eva, Hazel, Layla, Piper for 18 minutes in the late afternoon.\"\n27755,2018/03/21,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n27756,2018/03/21,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n27757,2018/03/22,\"During my trip to Seoul, South Korea, I visited National Museum Of Korea on 2018/03 with Avery.\",\"During my trip to Seoul, South Korea, I visited National Museum Of Korea on 2018/03 with Avery.\"\n27758,2018/03/22,\"I ate Italian food at Myeongdong Street Food Alley with Avery on  2018/03/22 when I was in Seoul, South Korea.\",\"I ate Italian food at Myeongdong Street Food Alley with Avery on  2018/03/22 when I was in Seoul, South Korea.\"\n27759,2018/03/22,\"I had breakfast with Kayden, Andrew, Emily. I ate toast and cheese.\",\"I had breakfast with Kayden, Andrew, Emily. I ate toast and cheese.\"\n27760,2018/03/22,I prepare steak for lunch.,I prepare steak for lunch.\n27761,2018/03/22,I had tacos for dinner with Kayden,I had tacos for dinner with Kayden\n27762,2018/03/22,\"I talked to Piper, Lydia, Olivia for 51 minutes in the morning.\",\"I talked to Piper, Lydia, Olivia for 51 minutes in the morning.\"\n27763,2018/03/22,\"I spent 50 talking to Piper, Rylee, Layla on various topics in the early evening.\",\"I spent 50 talking to Piper, Rylee, Layla on various topics in the early evening.\"\n27764,2018/03/22,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n27765,2018/03/22,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n27766,2018/03/23,\"During my trip to Seoul, South Korea, I visited N Seoul Tower on 2018/03 with Avery.\",\"During my trip to Seoul, South Korea, I visited N Seoul Tower on 2018/03 with Avery.\"\n27767,2018/03/23,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n27768,2018/03/23,I prepare steak for lunch.,I prepare steak for lunch.\n27769,2018/03/23,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n27770,2018/03/23,\"I spent 12 talking to Piper, Avery on various topics in the morning.\",\"I spent 12 talking to Piper, Avery on various topics in the morning.\"\n27771,2018/03/23,\"I talked to Nora, Rylee for 42 minutes late in the evening.\",\"I talked to Nora, Rylee for 42 minutes late in the evening.\"\n27772,2018/03/23,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n27773,2018/03/23,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n27774,2018/03/24,\"I went grocery shopping with Andrew, Emily, Carter, Kayden. I bought some blueberries, blackberries, strawberries, guava juice, soda, pineapple juice, orange juice, and mouthwash, mouth wash, toothbrush\",\"I went grocery shopping with Andrew, Emily, Carter, Kayden. I bought some blueberries, blackberries, strawberries, guava juice, soda, pineapple juice, orange juice, and mouthwash, mouth wash, toothbrush\"\n27775,2018/03/24,I did hiking on 2018/03/24.,I did hiking on 2018/03/24.\n27776,2018/03/24,\"I had peanut-butter-jam for breakfast with Emily, Andrew, Carter\",\"I had peanut-butter-jam for breakfast with Emily, Andrew, Carter\"\n27777,2018/03/24,I ate sandwich for lunch.,I ate sandwich for lunch.\n27778,2018/03/24,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n27779,2018/03/24,\"I talked to Piper, Nora, Piper for 48 minutes in the early evening.\",\"I talked to Piper, Nora, Piper for 48 minutes in the early evening.\"\n27780,2018/03/24,\"I spent 14 talking to Nevaeh, Avery, Eva on various topics in the morning.\",\"I spent 14 talking to Nevaeh, Avery, Eva on various topics in the morning.\"\n27781,2018/03/24,\"I talked to Nevaeh, Claire, Avery, Lydia for 37 minutes in the morning.\",\"I talked to Nevaeh, Claire, Avery, Lydia for 37 minutes in the morning.\"\n27782,2018/03/24,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n27783,2018/03/24,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n27784,2018/03/25,\"I ate Indian food at Gwangjang Market with Avery on  2018/03/25 when I was in Seoul, South Korea.\",\"I ate Indian food at Gwangjang Market with Avery on  2018/03/25 when I was in Seoul, South Korea.\"\n27785,2018/03/25,\"I had breakfast with Eva, Nora, Kinsley, Avery, Piper, Rylee, Claire, Hazel, Piper, Layla, Lydia. I ate cereals.\",\"I had breakfast with Eva, Nora, Kinsley, Avery, Piper, Rylee, Claire, Hazel, Piper, Layla, Lydia. I ate cereals.\"\n27786,2018/03/25,\"I had lunch with Kayden, Carter, Emily. I ate tacos.\",\"I had lunch with Kayden, Carter, Emily. I ate tacos.\"\n27787,2018/03/25,\"I had dinner with Lydia, Nevaeh. I ate sushi.\",\"I had dinner with Lydia, Nevaeh. I ate sushi.\"\n27788,2018/03/25,\"I spent 38 talking to Piper, Olivia, Eva on various topics in the late afternoon.\",\"I spent 38 talking to Piper, Olivia, Eva on various topics in the late afternoon.\"\n27789,2018/03/25,\"I spent 9 talking to Nevaeh, Kinsley on various topics late in the evening.\",\"I spent 9 talking to Nevaeh, Kinsley on various topics late in the evening.\"\n27790,2018/03/25,\"I spent 51 talking to Avery, Eva, Lydia on various topics in the late afternoon.\",\"I spent 51 talking to Avery, Eva, Lydia on various topics in the late afternoon.\"\n27791,2018/03/25,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n27792,2018/03/25,I watched a tv series for 51 minutes on TV today.,I watched a tv series for 51 minutes on TV today.\n27793,2018/03/26,\"I ate Japanese food at Seoul Bamdokkaebi Night Market with Avery on  2018/03/26 when I was in Seoul, South Korea.\",\"I ate Japanese food at Seoul Bamdokkaebi Night Market with Avery on  2018/03/26 when I was in Seoul, South Korea.\"\n27794,2018/03/26,\"I had toast and cheese for breakfast with Avery, Benjamin, Willow, Jackson\",\"I had toast and cheese for breakfast with Avery, Benjamin, Willow, Jackson\"\n27795,2018/03/26,\"I had tacos for lunch with Rylee, Olivia, Nora, Nevaeh, Avery, Kinsley, Lydia, Piper, Piper, Claire, Layla, Hazel\",\"I had tacos for lunch with Rylee, Olivia, Nora, Nevaeh, Avery, Kinsley, Lydia, Piper, Piper, Claire, Layla, Hazel\"\n27796,2018/03/26,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n27797,2018/03/26,\"I spent 5 talking to Nora, Hazel on various topics late in the evening.\",\"I spent 5 talking to Nora, Hazel on various topics late in the evening.\"\n27798,2018/03/26,\"I talked to Piper, Layla for 33 minutes in the late afternoon.\",\"I talked to Piper, Layla for 33 minutes in the late afternoon.\"\n27799,2018/03/26,\"I talked to Hazel, Olivia, Piper, Nevaeh for 18 minutes in the early afternoon.\",\"I talked to Hazel, Olivia, Piper, Nevaeh for 18 minutes in the early afternoon.\"\n27800,2018/03/26,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n27801,2018/03/26,I spent 49 minutes watching a documentary on TV today.,I spent 49 minutes watching a documentary on TV today.\n27802,2018/03/27,\"I bought some pears, apples, cherres, apricots, chocolate milk, milk, tea, shampoo from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\",\"I bought some pears, apples, cherres, apricots, chocolate milk, milk, tea, shampoo from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\"\n27803,2018/03/27,I did running on 2018/03/27.,I did running on 2018/03/27.\n27804,2018/03/27,I ate cereals for breakfast.,I ate cereals for breakfast.\n27805,2018/03/27,I ate steak for lunch.,I ate steak for lunch.\n27806,2018/03/27,I had dinner with Kinsley. I ate steak.,I had dinner with Kinsley. I ate steak.\n27807,2018/03/27,\"I spent 45 talking to Nora, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 45 talking to Nora, Piper, Nevaeh on various topics in the late afternoon.\"\n27808,2018/03/27,\"I spent 15 talking to Rylee, Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 15 talking to Rylee, Piper, Nevaeh on various topics in the early afternoon.\"\n27809,2018/03/27,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n27810,2018/03/27,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n27811,2018/03/28,I did biking on 2018/03/28.,I did biking on 2018/03/28.\n27812,2018/03/28,\"I had cereals for breakfast with Emily, Carter, Andrew, Kayden\",\"I had cereals for breakfast with Emily, Carter, Andrew, Kayden\"\n27813,2018/03/28,\"I had lunch with Andrew, Carter, Kayden. I ate steak.\",\"I had lunch with Andrew, Carter, Kayden. I ate steak.\"\n27814,2018/03/28,\"I had indian food for dinner with Emily, Andrew\",\"I had indian food for dinner with Emily, Andrew\"\n27815,2018/03/28,I talked to Eva for 32 minutes in the morning.,I talked to Eva for 32 minutes in the morning.\n27816,2018/03/28,\"I talked to Nevaeh, Kinsley, Hazel, Piper for 35 minutes in the late afternoon.\",\"I talked to Nevaeh, Kinsley, Hazel, Piper for 35 minutes in the late afternoon.\"\n27817,2018/03/28,\"I talked to Olivia, Piper, Layla for 50 minutes in the late afternoon.\",\"I talked to Olivia, Piper, Layla for 50 minutes in the late afternoon.\"\n27818,2018/03/28,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n27819,2018/03/28,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n27820,2018/03/29,I did swimming on 2018/03/29.,I did swimming on 2018/03/29.\n27821,2018/03/29,\"I had breakfast with Willow, Benjamin, Avery. I ate cereals.\",\"I had breakfast with Willow, Benjamin, Avery. I ate cereals.\"\n27822,2018/03/29,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n27823,2018/03/29,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n27824,2018/03/29,\"I spent 40 talking to Avery, Hazel, Nevaeh on various topics in the late afternoon.\",\"I spent 40 talking to Avery, Hazel, Nevaeh on various topics in the late afternoon.\"\n27825,2018/03/29,I talked to Avery for 14 minutes during lunch hours.,I talked to Avery for 14 minutes during lunch hours.\n27826,2018/03/29,\"I spent 11 talking to Piper, Piper, Nevaeh on various topics in the morning.\",\"I spent 11 talking to Piper, Piper, Nevaeh on various topics in the morning.\"\n27827,2018/03/29,\"I talked to Layla, Claire, Olivia for 49 minutes late in the evening.\",\"I talked to Layla, Claire, Olivia for 49 minutes late in the evening.\"\n27828,2018/03/29,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n27829,2018/03/29,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n27830,2018/03/30,I did hiking on 2018/03/30.,I did hiking on 2018/03/30.\n27831,2018/03/30,\"I had breakfast with Kayden, Emily, Carter. I ate pancakes.\",\"I had breakfast with Kayden, Emily, Carter. I ate pancakes.\"\n27832,2018/03/30,\"I had tacos for lunch with Carter, Emily, Andrew, Kayden\",\"I had tacos for lunch with Carter, Emily, Andrew, Kayden\"\n27833,2018/03/30,I prepare a burger for dinner.,I prepare a burger for dinner.\n27834,2018/03/30,\"I spent 26 talking to Nora, Avery, Rylee on various topics late in the evening.\",\"I spent 26 talking to Nora, Avery, Rylee on various topics late in the evening.\"\n27835,2018/03/30,I spent 11 talking to Lydia on various topics late in the evening.,I spent 11 talking to Lydia on various topics late in the evening.\n27836,2018/03/30,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n27837,2018/03/30,I watched a documentary for 49 minutes on TV today.,I watched a documentary for 49 minutes on TV today.\n27838,2018/03/31,I did HIIT on 2018/03/31.,I did HIIT on 2018/03/31.\n27839,2018/03/31,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n27840,2018/03/31,I ate sandwich for lunch.,I ate sandwich for lunch.\n27841,2018/03/31,\"I had chinese food for dinner with Piper, Piper, Claire, Hazel, Layla, Nora\",\"I had chinese food for dinner with Piper, Piper, Claire, Hazel, Layla, Nora\"\n27842,2018/03/31,\"I spent 7 talking to Hazel, Claire, Kinsley, Lydia on various topics late in the evening.\",\"I spent 7 talking to Hazel, Claire, Kinsley, Lydia on various topics late in the evening.\"\n27843,2018/03/31,\"I spent 41 talking to Eva, Kinsley, Layla, Avery on various topics in the morning.\",\"I spent 41 talking to Eva, Kinsley, Layla, Avery on various topics in the morning.\"\n27844,2018/03/31,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n27845,2018/03/31,I watched news for 5 minutes on TV today.,I watched news for 5 minutes on TV today.\n27846,2018/04/01,I went on a date with Serenity on 2018/04/01 at a coffee Shop,I went on a date with Serenity on 2018/04/01 at a coffee Shop\n27847,2018/04/01,I did hiking on 2018/04/01.,I did hiking on 2018/04/01.\n27848,2018/04/01,\"I had breakfast with Nora, Rylee, Avery, Layla, Nevaeh, Eva, Lydia, Kinsley. I ate eggs, sausages, and bread.\",\"I had breakfast with Nora, Rylee, Avery, Layla, Nevaeh, Eva, Lydia, Kinsley. I ate eggs, sausages, and bread.\"\n27849,2018/04/01,I had lunch with Kayden. I ate sandwich.,I had lunch with Kayden. I ate sandwich.\n27850,2018/04/01,\"I had dinner with Willow, Avery. I ate a burger.\",\"I had dinner with Willow, Avery. I ate a burger.\"\n27851,2018/04/01,I talked to Layla for 7 minutes late in the evening.,I talked to Layla for 7 minutes late in the evening.\n27852,2018/04/01,\"I spent 44 talking to Nevaeh, Piper, Layla, Avery on various topics late in the evening.\",\"I spent 44 talking to Nevaeh, Piper, Layla, Avery on various topics late in the evening.\"\n27853,2018/04/01,\"I spent 9 talking to Lydia, Rylee on various topics during lunch hours.\",\"I spent 9 talking to Lydia, Rylee on various topics during lunch hours.\"\n27854,2018/04/01,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n27855,2018/04/01,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n27856,2018/04/02,I did hiking on 2018/04/02.,I did hiking on 2018/04/02.\n27857,2018/04/02,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n27858,2018/04/02,\"I had fish and chips for lunch with Benjamin, Jackson, Willow\",\"I had fish and chips for lunch with Benjamin, Jackson, Willow\"\n27859,2018/04/02,\"I had pasta for dinner with Rylee, Eva, Hazel, Layla, Nevaeh\",\"I had pasta for dinner with Rylee, Eva, Hazel, Layla, Nevaeh\"\n27860,2018/04/02,I spent 37 talking to Piper on various topics in the early evening.,I spent 37 talking to Piper on various topics in the early evening.\n27861,2018/04/02,\"I talked to Olivia, Piper, Nevaeh for 30 minutes in the late afternoon.\",\"I talked to Olivia, Piper, Nevaeh for 30 minutes in the late afternoon.\"\n27862,2018/04/02,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n27863,2018/04/02,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n27864,2018/04/03,I spent time working out on 2018/04/03 with Emily.,I spent time working out on 2018/04/03 with Emily.\n27865,2018/04/03,I did HIIT on 2018/04/03.,I did HIIT on 2018/04/03.\n27866,2018/04/03,\"I had pancakes for breakfast with Piper, Rylee, Claire, Nevaeh, Hazel, Nora, Kinsley, Avery\",\"I had pancakes for breakfast with Piper, Rylee, Claire, Nevaeh, Hazel, Nora, Kinsley, Avery\"\n27867,2018/04/03,\"I had lunch with Jackson, Benjamin, Willow, Avery. I ate tacos.\",\"I had lunch with Jackson, Benjamin, Willow, Avery. I ate tacos.\"\n27868,2018/04/03,I had dinner with Carter. I ate indian food.,I had dinner with Carter. I ate indian food.\n27869,2018/04/03,\"I talked to Rylee, Kinsley, Lydia, Hazel for 51 minutes late in the evening.\",\"I talked to Rylee, Kinsley, Lydia, Hazel for 51 minutes late in the evening.\"\n27870,2018/04/03,\"I talked to Lydia, Nevaeh, Piper, Hazel for 14 minutes in the morning.\",\"I talked to Lydia, Nevaeh, Piper, Hazel for 14 minutes in the morning.\"\n27871,2018/04/03,\"I talked to Rylee, Kinsley, Layla, Nevaeh for 7 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley, Layla, Nevaeh for 7 minutes in the early afternoon.\"\n27872,2018/04/03,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n27873,2018/04/03,I spent 35 minutes watching a movie on TV today.,I spent 35 minutes watching a movie on TV today.\n27874,2018/04/04,I did hiking on 2018/04/04.,I did hiking on 2018/04/04.\n27875,2018/04/04,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n27876,2018/04/04,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n27877,2018/04/04,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n27878,2018/04/04,\"I spent 40 talking to Layla, Piper, Claire on various topics in the late afternoon.\",\"I spent 40 talking to Layla, Piper, Claire on various topics in the late afternoon.\"\n27879,2018/04/04,I spent 55 talking to Rylee on various topics in the early evening.,I spent 55 talking to Rylee on various topics in the early evening.\n27880,2018/04/04,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n27881,2018/04/04,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n27882,2018/04/05,\"I went grocery shopping. I bought some pears, strawberries, pineapples, clementines, guava juice, and toothpaste, shaving cream, mouthwash\",\"I went grocery shopping. I bought some pears, strawberries, pineapples, clementines, guava juice, and toothpaste, shaving cream, mouthwash\"\n27883,2018/04/05,I did hiking on 2018/04/05.,I did hiking on 2018/04/05.\n27884,2018/04/05,I had breakfast with Willow. I ate toast and cheese.,I had breakfast with Willow. I ate toast and cheese.\n27885,2018/04/05,I ate chinese food for lunch.,I ate chinese food for lunch.\n27886,2018/04/05,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n27887,2018/04/05,I spent 23 talking to Nora on various topics late in the evening.,I spent 23 talking to Nora on various topics late in the evening.\n27888,2018/04/05,I talked to Kinsley for 19 minutes during lunch hours.,I talked to Kinsley for 19 minutes during lunch hours.\n27889,2018/04/05,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n27890,2018/04/05,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n27891,2018/04/06,I did hiking on 2018/04/06.,I did hiking on 2018/04/06.\n27892,2018/04/06,I had cereals for breakfast with Emily,I had cereals for breakfast with Emily\n27893,2018/04/06,\"I had lunch with Kayden, Carter, Andrew, Emily. I ate sandwich.\",\"I had lunch with Kayden, Carter, Andrew, Emily. I ate sandwich.\"\n27894,2018/04/06,\"I had dinner with Layla, Eva, Olivia, Nevaeh, Lydia. I ate a burger.\",\"I had dinner with Layla, Eva, Olivia, Nevaeh, Lydia. I ate a burger.\"\n27895,2018/04/06,\"I talked to Hazel, Claire, Olivia for 14 minutes during lunch hours.\",\"I talked to Hazel, Claire, Olivia for 14 minutes during lunch hours.\"\n27896,2018/04/06,\"I spent 11 talking to Layla, Lydia, Claire, Eva on various topics late in the evening.\",\"I spent 11 talking to Layla, Lydia, Claire, Eva on various topics late in the evening.\"\n27897,2018/04/06,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n27898,2018/04/06,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n27899,2018/04/07,I did biking on 2018/04/07.,I did biking on 2018/04/07.\n27900,2018/04/07,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n27901,2018/04/07,\"I had lunch with Andrew, Kayden, Carter. I ate pasta.\",\"I had lunch with Andrew, Kayden, Carter. I ate pasta.\"\n27902,2018/04/07,\"I had dinner with Nevaeh, Olivia, Hazel, Nora, Avery, Rylee. I ate indian food.\",\"I had dinner with Nevaeh, Olivia, Hazel, Nora, Avery, Rylee. I ate indian food.\"\n27903,2018/04/07,\"I talked to Hazel, Piper, Layla for 41 minutes in the late afternoon.\",\"I talked to Hazel, Piper, Layla for 41 minutes in the late afternoon.\"\n27904,2018/04/07,\"I talked to Piper, Nora for 25 minutes in the early evening.\",\"I talked to Piper, Nora for 25 minutes in the early evening.\"\n27905,2018/04/07,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n27906,2018/04/07,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n27907,2018/04/08,\"On 2018/04/08, I took Brooklyn on a date to a boba shop\",\"On 2018/04/08, I took Brooklyn on a date to a boba shop\"\n27908,2018/04/08,I really enjoyed learning a language on 2018/04/08,I really enjoyed learning a language on 2018/04/08\n27909,2018/04/08,I did weight lifting on 2018/04/08.,I did weight lifting on 2018/04/08.\n27910,2018/04/08,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n27911,2018/04/08,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n27912,2018/04/08,\"I had fish and chips for dinner with Carter, Kayden, Emily, Andrew\",\"I had fish and chips for dinner with Carter, Kayden, Emily, Andrew\"\n27913,2018/04/08,\"I talked to Piper, Eva, Layla for 26 minutes late in the evening.\",\"I talked to Piper, Eva, Layla for 26 minutes late in the evening.\"\n27914,2018/04/08,\"I spent 52 talking to Claire, Eva, Kinsley on various topics in the late afternoon.\",\"I spent 52 talking to Claire, Eva, Kinsley on various topics in the late afternoon.\"\n27915,2018/04/08,\"I talked to Olivia, Nora, Piper for 24 minutes in the late afternoon.\",\"I talked to Olivia, Nora, Piper for 24 minutes in the late afternoon.\"\n27916,2018/04/08,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n27917,2018/04/08,I watched news for 13 minutes on TV today.,I watched news for 13 minutes on TV today.\n27918,2018/04/09,\"I bought some blueberries, clementines, mandarins, tea, chocolate milk, paper towel online.\",\"I bought some blueberries, clementines, mandarins, tea, chocolate milk, paper towel online.\"\n27919,2018/04/09,I did biking on 2018/04/09.,I did biking on 2018/04/09.\n27920,2018/04/09,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n27921,2018/04/09,\"I had indian food for lunch with Andrew, Emily, Kayden, Carter\",\"I had indian food for lunch with Andrew, Emily, Kayden, Carter\"\n27922,2018/04/09,\"I had pasta for dinner with Willow, Benjamin, Jackson\",\"I had pasta for dinner with Willow, Benjamin, Jackson\"\n27923,2018/04/09,\"I talked to Hazel, Rylee, Piper for 30 minutes in the early evening.\",\"I talked to Hazel, Rylee, Piper for 30 minutes in the early evening.\"\n27924,2018/04/09,\"I spent 40 talking to Layla, Nora, Eva on various topics in the morning.\",\"I spent 40 talking to Layla, Nora, Eva on various topics in the morning.\"\n27925,2018/04/09,\"I spent 35 talking to Nevaeh, Eva, Nora on various topics late in the evening.\",\"I spent 35 talking to Nevaeh, Eva, Nora on various topics late in the evening.\"\n27926,2018/04/09,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n27927,2018/04/09,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n27928,2018/04/10,I spent some time gardening on 2018/04/10.,I spent some time gardening on 2018/04/10.\n27929,2018/04/10,I did HIIT on 2018/04/10.,I did HIIT on 2018/04/10.\n27930,2018/04/10,\"I had cereals for breakfast with Andrew, Emily, Kayden, Carter\",\"I had cereals for breakfast with Andrew, Emily, Kayden, Carter\"\n27931,2018/04/10,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n27932,2018/04/10,\"I had dinner with Layla, Avery, Rylee, Lydia. I ate chinese food.\",\"I had dinner with Layla, Avery, Rylee, Lydia. I ate chinese food.\"\n27933,2018/04/10,\"I spent 12 talking to Eva, Nora, Rylee on various topics during lunch hours.\",\"I spent 12 talking to Eva, Nora, Rylee on various topics during lunch hours.\"\n27934,2018/04/10,\"I talked to Eva, Claire for 33 minutes late in the evening.\",\"I talked to Eva, Claire for 33 minutes late in the evening.\"\n27935,2018/04/10,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n27936,2018/04/10,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n27937,2018/04/11,I did hiking on 2018/04/11.,I did hiking on 2018/04/11.\n27938,2018/04/11,\"I had oatmeal for breakfast with Nevaeh, Lydia, Nora, Rylee, Avery, Eva, Claire, Piper, Piper, Hazel, Kinsley, Layla, Olivia\",\"I had oatmeal for breakfast with Nevaeh, Lydia, Nora, Rylee, Avery, Eva, Claire, Piper, Piper, Hazel, Kinsley, Layla, Olivia\"\n27939,2018/04/11,I had sandwich for lunch with Emily,I had sandwich for lunch with Emily\n27940,2018/04/11,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n27941,2018/04/11,I spent 53 talking to Piper on various topics in the early evening.,I spent 53 talking to Piper on various topics in the early evening.\n27942,2018/04/11,\"I talked to Kinsley, Piper, Layla for 49 minutes during lunch hours.\",\"I talked to Kinsley, Piper, Layla for 49 minutes during lunch hours.\"\n27943,2018/04/11,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n27944,2018/04/11,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n27945,2018/04/12,I did running on 2018/04/12.,I did running on 2018/04/12.\n27946,2018/04/12,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n27947,2018/04/12,I prepare pasta for lunch.,I prepare pasta for lunch.\n27948,2018/04/12,I prepare a burger for dinner.,I prepare a burger for dinner.\n27949,2018/04/12,I spent 53 talking to Piper on various topics in the late afternoon.,I spent 53 talking to Piper on various topics in the late afternoon.\n27950,2018/04/12,\"I spent 53 talking to Piper, Layla, Rylee on various topics in the early afternoon.\",\"I spent 53 talking to Piper, Layla, Rylee on various topics in the early afternoon.\"\n27951,2018/04/12,\"I talked to Olivia, Eva for 47 minutes in the early evening.\",\"I talked to Olivia, Eva for 47 minutes in the early evening.\"\n27952,2018/04/12,\"I spent 44 talking to Eva, Nevaeh, Claire, Avery on various topics late in the evening.\",\"I spent 44 talking to Eva, Nevaeh, Claire, Avery on various topics late in the evening.\"\n27953,2018/04/12,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n27954,2018/04/12,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n27955,2018/04/13,I went on a date with Wesley on 2018/04/13 at a coffee Shop,I went on a date with Wesley on 2018/04/13 at a coffee Shop\n27956,2018/04/13,I did swimming on 2018/04/13.,I did swimming on 2018/04/13.\n27957,2018/04/13,\"I had breakfast with Benjamin, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Avery. I ate peanut-butter-jam.\"\n27958,2018/04/13,\"I had sushi for lunch with Lydia, Claire, Layla, Eva, Olivia, Piper\",\"I had sushi for lunch with Lydia, Claire, Layla, Eva, Olivia, Piper\"\n27959,2018/04/13,\"I had dinner with Kayden, Andrew, Emily. I ate tacos.\",\"I had dinner with Kayden, Andrew, Emily. I ate tacos.\"\n27960,2018/04/13,\"I spent 42 talking to Nora, Kinsley, Nevaeh, Piper on various topics in the morning.\",\"I spent 42 talking to Nora, Kinsley, Nevaeh, Piper on various topics in the morning.\"\n27961,2018/04/13,I spent 23 talking to Eva on various topics in the late afternoon.,I spent 23 talking to Eva on various topics in the late afternoon.\n27962,2018/04/13,\"I talked to Nevaeh, Kinsley, Olivia, Lydia for 22 minutes late in the evening.\",\"I talked to Nevaeh, Kinsley, Olivia, Lydia for 22 minutes late in the evening.\"\n27963,2018/04/13,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n27964,2018/04/13,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n27965,2018/04/14,I did running on 2018/04/14.,I did running on 2018/04/14.\n27966,2018/04/14,\"I had toast and cheese for breakfast with Carter, Emily, Kayden, Andrew\",\"I had toast and cheese for breakfast with Carter, Emily, Kayden, Andrew\"\n27967,2018/04/14,\"I had lunch with Willow, Benjamin, Jackson. I ate indian food.\",\"I had lunch with Willow, Benjamin, Jackson. I ate indian food.\"\n27968,2018/04/14,\"I had dinner with Claire, Layla, Piper, Rylee, Olivia, Eva, Hazel. I ate sushi.\",\"I had dinner with Claire, Layla, Piper, Rylee, Olivia, Eva, Hazel. I ate sushi.\"\n27969,2018/04/14,\"I talked to Piper, Avery, Eva, Nora for 46 minutes in the morning.\",\"I talked to Piper, Avery, Eva, Nora for 46 minutes in the morning.\"\n27970,2018/04/14,\"I talked to Lydia, Piper, Piper for 12 minutes during lunch hours.\",\"I talked to Lydia, Piper, Piper for 12 minutes during lunch hours.\"\n27971,2018/04/14,\"I talked to Claire, Piper for 17 minutes in the early afternoon.\",\"I talked to Claire, Piper for 17 minutes in the early afternoon.\"\n27972,2018/04/14,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n27973,2018/04/14,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n27974,2018/04/15,\"I spent time yoga on 2018/04/15 with Eva, Kinsley.\",\"I spent time yoga on 2018/04/15 with Eva, Kinsley.\"\n27975,2018/04/15,\"I bought some raspberries, mangos, blackberries, soda, pineapple juice, mineral water, paper towel online.\",\"I bought some raspberries, mangos, blackberries, soda, pineapple juice, mineral water, paper towel online.\"\n27976,2018/04/15,I did swimming on 2018/04/15.,I did swimming on 2018/04/15.\n27977,2018/04/15,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n27978,2018/04/15,I ate tacos for lunch.,I ate tacos for lunch.\n27979,2018/04/15,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n27980,2018/04/15,\"I spent 17 talking to Claire, Rylee, Piper, Olivia on various topics in the early afternoon.\",\"I spent 17 talking to Claire, Rylee, Piper, Olivia on various topics in the early afternoon.\"\n27981,2018/04/15,I spent 35 talking to Rylee on various topics in the morning.,I spent 35 talking to Rylee on various topics in the morning.\n27982,2018/04/15,\"I spent 17 talking to Olivia, Eva, Piper on various topics late in the evening.\",\"I spent 17 talking to Olivia, Eva, Piper on various topics late in the evening.\"\n27983,2018/04/15,\"I spent 54 talking to Piper, Olivia, Piper on various topics during lunch hours.\",\"I spent 54 talking to Piper, Olivia, Piper on various topics during lunch hours.\"\n27984,2018/04/15,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n27985,2018/04/15,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n27986,2018/04/16,\"I bought some watermelons, guava, nectarines, blackberries, orange juice, tea, shaving cream from the grocery store. I saw Hazel, Layla, Lydia, Olivia, Nora, Piper, Claire, Avery, Piper, Nevaeh, Eva, Rylee at the grocery store.\",\"I bought some watermelons, guava, nectarines, blackberries, orange juice, tea, shaving cream from the grocery store. I saw Hazel, Layla, Lydia, Olivia, Nora, Piper, Claire, Avery, Piper, Nevaeh, Eva, Rylee at the grocery store.\"\n27987,2018/04/16,I did swimming on 2018/04/16.,I did swimming on 2018/04/16.\n27988,2018/04/16,\"I had toast and cheese for breakfast with Claire, Nora, Kinsley, Nevaeh, Piper, Piper, Layla, Lydia, Olivia, Avery, Hazel\",\"I had toast and cheese for breakfast with Claire, Nora, Kinsley, Nevaeh, Piper, Piper, Layla, Lydia, Olivia, Avery, Hazel\"\n27989,2018/04/16,I ate sandwich for lunch.,I ate sandwich for lunch.\n27990,2018/04/16,\"I had indian food for dinner with Carter, Kayden, Andrew\",\"I had indian food for dinner with Carter, Kayden, Andrew\"\n27991,2018/04/16,\"I talked to Piper, Nevaeh for 48 minutes in the morning.\",\"I talked to Piper, Nevaeh for 48 minutes in the morning.\"\n27992,2018/04/16,\"I talked to Layla, Eva, Nora, Avery for 8 minutes in the early evening.\",\"I talked to Layla, Eva, Nora, Avery for 8 minutes in the early evening.\"\n27993,2018/04/16,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n27994,2018/04/16,I watched a documentary for 46 minutes on TV today.,I watched a documentary for 46 minutes on TV today.\n27995,2018/04/17,I did swimming on 2018/04/17.,I did swimming on 2018/04/17.\n27996,2018/04/17,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n27997,2018/04/17,I ate pasta for lunch.,I ate pasta for lunch.\n27998,2018/04/17,I had a burger for dinner with Lydia,I had a burger for dinner with Lydia\n27999,2018/04/17,\"I talked to Hazel, Claire, Olivia for 21 minutes in the late afternoon.\",\"I talked to Hazel, Claire, Olivia for 21 minutes in the late afternoon.\"\n28000,2018/04/17,\"I talked to Eva, Claire, Nevaeh, Avery for 45 minutes during lunch hours.\",\"I talked to Eva, Claire, Nevaeh, Avery for 45 minutes during lunch hours.\"\n28001,2018/04/17,I spent 43 talking to Rylee on various topics in the morning.,I spent 43 talking to Rylee on various topics in the morning.\n28002,2018/04/17,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n28003,2018/04/17,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n28004,2018/04/18,I went on a date with Josephine on 2018/04/18 at a park,I went on a date with Josephine on 2018/04/18 at a park\n28005,2018/04/18,I really enjoyed working out on 2018/04/18,I really enjoyed working out on 2018/04/18\n28006,2018/04/18,I did swimming on 2018/04/18.,I did swimming on 2018/04/18.\n28007,2018/04/18,\"I had breakfast with Andrew, Kayden, Carter. I ate pancakes.\",\"I had breakfast with Andrew, Kayden, Carter. I ate pancakes.\"\n28008,2018/04/18,I had fish and chips for lunch with Kayden,I had fish and chips for lunch with Kayden\n28009,2018/04/18,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n28010,2018/04/18,\"I spent 5 talking to Rylee, Kinsley, Avery, Hazel on various topics in the early afternoon.\",\"I spent 5 talking to Rylee, Kinsley, Avery, Hazel on various topics in the early afternoon.\"\n28011,2018/04/18,\"I spent 19 talking to Nora, Hazel on various topics in the late afternoon.\",\"I spent 19 talking to Nora, Hazel on various topics in the late afternoon.\"\n28012,2018/04/18,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n28013,2018/04/18,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n28014,2018/04/19,I did biking on 2018/04/19.,I did biking on 2018/04/19.\n28015,2018/04/19,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n28016,2018/04/19,\"I had lunch with Carter, Emily, Kayden, Andrew. I ate a burger.\",\"I had lunch with Carter, Emily, Kayden, Andrew. I ate a burger.\"\n28017,2018/04/19,I had a burger for dinner with Carter,I had a burger for dinner with Carter\n28018,2018/04/19,I talked to Piper for 15 minutes during lunch hours.,I talked to Piper for 15 minutes during lunch hours.\n28019,2018/04/19,I spent 38 talking to Kinsley on various topics in the early afternoon.,I spent 38 talking to Kinsley on various topics in the early afternoon.\n28020,2018/04/19,\"I spent 18 talking to Nevaeh, Layla, Avery on various topics in the morning.\",\"I spent 18 talking to Nevaeh, Layla, Avery on various topics in the morning.\"\n28021,2018/04/19,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n28022,2018/04/19,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n28023,2018/04/20,I did swimming on 2018/04/20.,I did swimming on 2018/04/20.\n28024,2018/04/20,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n28025,2018/04/20,I ate chinese food for lunch.,I ate chinese food for lunch.\n28026,2018/04/20,I prepare tacos for dinner.,I prepare tacos for dinner.\n28027,2018/04/20,\"I spent 10 talking to Nevaeh, Hazel, Layla on various topics in the early afternoon.\",\"I spent 10 talking to Nevaeh, Hazel, Layla on various topics in the early afternoon.\"\n28028,2018/04/20,\"I talked to Avery, Nevaeh, Rylee for 16 minutes late in the evening.\",\"I talked to Avery, Nevaeh, Rylee for 16 minutes late in the evening.\"\n28029,2018/04/20,\"I spent 37 talking to Rylee, Layla, Nevaeh, Lydia on various topics during lunch hours.\",\"I spent 37 talking to Rylee, Layla, Nevaeh, Lydia on various topics during lunch hours.\"\n28030,2018/04/20,\"I talked to Avery, Claire, Nevaeh, Eva for 55 minutes in the late afternoon.\",\"I talked to Avery, Claire, Nevaeh, Eva for 55 minutes in the late afternoon.\"\n28031,2018/04/20,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n28032,2018/04/20,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n28033,2018/04/21,I really enjoyed meditation on 2018/04/21,I really enjoyed meditation on 2018/04/21\n28034,2018/04/21,I did biking on 2018/04/21.,I did biking on 2018/04/21.\n28035,2018/04/21,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n28036,2018/04/21,\"I had sandwich for lunch with Andrew, Carter, Emily\",\"I had sandwich for lunch with Andrew, Carter, Emily\"\n28037,2018/04/21,I prepare indian food for dinner.,I prepare indian food for dinner.\n28038,2018/04/21,I talked to Rylee for 5 minutes in the late afternoon.,I talked to Rylee for 5 minutes in the late afternoon.\n28039,2018/04/21,\"I talked to Claire, Piper, Hazel, Kinsley for 17 minutes in the late afternoon.\",\"I talked to Claire, Piper, Hazel, Kinsley for 17 minutes in the late afternoon.\"\n28040,2018/04/21,\"I spent 5 talking to Eva, Piper, Olivia on various topics in the morning.\",\"I spent 5 talking to Eva, Piper, Olivia on various topics in the morning.\"\n28041,2018/04/21,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n28042,2018/04/21,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n28043,2018/04/22,\"I bought some mandarins, chocolate milk, soda, orange juice, conditioner, mouthwash, shampoo from the grocery store. I saw Willow at the grocery store.\",\"I bought some mandarins, chocolate milk, soda, orange juice, conditioner, mouthwash, shampoo from the grocery store. I saw Willow at the grocery store.\"\n28044,2018/04/22,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n28045,2018/04/22,I prepare pasta for lunch.,I prepare pasta for lunch.\n28046,2018/04/22,I had dinner. I ate steak.,I had dinner. I ate steak.\n28047,2018/04/22,I spent 35 talking to Avery on various topics in the morning.,I spent 35 talking to Avery on various topics in the morning.\n28048,2018/04/22,I talked to Olivia for 40 minutes in the late afternoon.,I talked to Olivia for 40 minutes in the late afternoon.\n28049,2018/04/22,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n28050,2018/04/22,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n28051,2018/04/23,I did hiking on 2018/04/23.,I did hiking on 2018/04/23.\n28052,2018/04/23,I ate cereals for breakfast.,I ate cereals for breakfast.\n28053,2018/04/23,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n28054,2018/04/23,I prepare pasta for dinner.,I prepare pasta for dinner.\n28055,2018/04/23,I spent 29 talking to Nora on various topics in the early afternoon.,I spent 29 talking to Nora on various topics in the early afternoon.\n28056,2018/04/23,\"I spent 35 talking to Lydia, Kinsley, Hazel on various topics during lunch hours.\",\"I spent 35 talking to Lydia, Kinsley, Hazel on various topics during lunch hours.\"\n28057,2018/04/23,\"I talked to Piper, Nora, Layla for 44 minutes late in the evening.\",\"I talked to Piper, Nora, Layla for 44 minutes late in the evening.\"\n28058,2018/04/23,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n28059,2018/04/23,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n28060,2018/04/24,I did swimming on 2018/04/24.,I did swimming on 2018/04/24.\n28061,2018/04/24,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n28062,2018/04/24,I ate indian food for lunch.,I ate indian food for lunch.\n28063,2018/04/24,I ate sandwich for dinner.,I ate sandwich for dinner.\n28064,2018/04/24,\"I spent 36 talking to Piper, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 36 talking to Piper, Nevaeh, Piper on various topics in the early afternoon.\"\n28065,2018/04/24,\"I talked to Olivia, Avery, Kinsley for 30 minutes in the morning.\",\"I talked to Olivia, Avery, Kinsley for 30 minutes in the morning.\"\n28066,2018/04/24,\"I talked to Eva, Lydia, Rylee, Piper for 44 minutes during lunch hours.\",\"I talked to Eva, Lydia, Rylee, Piper for 44 minutes during lunch hours.\"\n28067,2018/04/24,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n28068,2018/04/24,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n28069,2018/04/25,\"I went grocery shopping. I bought some nectarines, soda, coffee, and paper towel, toothbrush, conditioner\",\"I went grocery shopping. I bought some nectarines, soda, coffee, and paper towel, toothbrush, conditioner\"\n28070,2018/04/25,\"I had breakfast with Hazel, Piper, Avery, Lydia, Olivia, Nevaeh, Rylee. I ate oatmeal.\",\"I had breakfast with Hazel, Piper, Avery, Lydia, Olivia, Nevaeh, Rylee. I ate oatmeal.\"\n28071,2018/04/25,\"I had lunch with Carter, Emily. I ate steak.\",\"I had lunch with Carter, Emily. I ate steak.\"\n28072,2018/04/25,\"I had dinner with Layla, Piper, Nora, Kinsley. I ate indian food.\",\"I had dinner with Layla, Piper, Nora, Kinsley. I ate indian food.\"\n28073,2018/04/25,\"I talked to Nevaeh, Hazel, Piper for 20 minutes in the early afternoon.\",\"I talked to Nevaeh, Hazel, Piper for 20 minutes in the early afternoon.\"\n28074,2018/04/25,\"I talked to Layla, Hazel, Kinsley for 10 minutes in the early afternoon.\",\"I talked to Layla, Hazel, Kinsley for 10 minutes in the early afternoon.\"\n28075,2018/04/25,\"I spent 51 talking to Claire, Nora, Olivia, Eva on various topics late in the evening.\",\"I spent 51 talking to Claire, Nora, Olivia, Eva on various topics late in the evening.\"\n28076,2018/04/25,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n28077,2018/04/25,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n28078,2018/04/26,I did running on 2018/04/26.,I did running on 2018/04/26.\n28079,2018/04/26,\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter, Emily\",\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter, Emily\"\n28080,2018/04/26,I had fish and chips for lunch with Carter,I had fish and chips for lunch with Carter\n28081,2018/04/26,\"I had dinner with Emily, Carter, Andrew, Kayden. I ate chinese food.\",\"I had dinner with Emily, Carter, Andrew, Kayden. I ate chinese food.\"\n28082,2018/04/26,\"I talked to Layla, Avery for 55 minutes in the early afternoon.\",\"I talked to Layla, Avery for 55 minutes in the early afternoon.\"\n28083,2018/04/26,\"I talked to Lydia, Rylee for 25 minutes in the late afternoon.\",\"I talked to Lydia, Rylee for 25 minutes in the late afternoon.\"\n28084,2018/04/26,I spent 17 talking to Piper on various topics in the early evening.,I spent 17 talking to Piper on various topics in the early evening.\n28085,2018/04/26,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n28086,2018/04/26,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n28087,2018/04/27,I did biking on 2018/04/27.,I did biking on 2018/04/27.\n28088,2018/04/27,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n28089,2018/04/27,I ate tacos for lunch.,I ate tacos for lunch.\n28090,2018/04/27,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n28091,2018/04/27,I spent 35 talking to Piper on various topics in the early afternoon.,I spent 35 talking to Piper on various topics in the early afternoon.\n28092,2018/04/27,\"I talked to Eva, Piper, Claire for 17 minutes during lunch hours.\",\"I talked to Eva, Piper, Claire for 17 minutes during lunch hours.\"\n28093,2018/04/27,\"I spent 18 talking to Eva, Piper on various topics in the morning.\",\"I spent 18 talking to Eva, Piper on various topics in the morning.\"\n28094,2018/04/27,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n28095,2018/04/27,I spent 41 minutes watching a movie on TV today.,I spent 41 minutes watching a movie on TV today.\n28096,2018/04/28,\"On 2018/04/28, I took Ian on a date to a park\",\"On 2018/04/28, I took Ian on a date to a park\"\n28097,2018/04/28,\"I bought some blackberries, nectarines, cherres, milk, chocolate milk, orange juice, conditioner from the grocery store. I saw Andrew, Emily, Carter, Kayden at the grocery store.\",\"I bought some blackberries, nectarines, cherres, milk, chocolate milk, orange juice, conditioner from the grocery store. I saw Andrew, Emily, Carter, Kayden at the grocery store.\"\n28098,2018/04/28,I did swimming on 2018/04/28.,I did swimming on 2018/04/28.\n28099,2018/04/28,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n28100,2018/04/28,I ate chinese food for lunch.,I ate chinese food for lunch.\n28101,2018/04/28,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n28102,2018/04/28,\"I talked to Nevaeh, Olivia, Eva, Piper for 46 minutes in the morning.\",\"I talked to Nevaeh, Olivia, Eva, Piper for 46 minutes in the morning.\"\n28103,2018/04/28,\"I talked to Olivia, Piper, Layla, Avery for 39 minutes during lunch hours.\",\"I talked to Olivia, Piper, Layla, Avery for 39 minutes during lunch hours.\"\n28104,2018/04/28,\"I spent 30 talking to Lydia, Piper on various topics during lunch hours.\",\"I spent 30 talking to Lydia, Piper on various topics during lunch hours.\"\n28105,2018/04/28,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n28106,2018/04/28,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n28107,2018/04/29,I did HIIT on 2018/04/29.,I did HIIT on 2018/04/29.\n28108,2018/04/29,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n28109,2018/04/29,I ate indian food for lunch.,I ate indian food for lunch.\n28110,2018/04/29,I prepare indian food for dinner.,I prepare indian food for dinner.\n28111,2018/04/29,I spent 11 talking to Hazel on various topics late in the evening.,I spent 11 talking to Hazel on various topics late in the evening.\n28112,2018/04/29,\"I talked to Lydia, Rylee for 53 minutes in the late afternoon.\",\"I talked to Lydia, Rylee for 53 minutes in the late afternoon.\"\n28113,2018/04/29,\"I talked to Piper, Avery, Olivia for 13 minutes in the early evening.\",\"I talked to Piper, Avery, Olivia for 13 minutes in the early evening.\"\n28114,2018/04/29,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n28115,2018/04/29,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n28116,2018/04/30,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n28117,2018/04/30,I had lunch. I ate steak.,I had lunch. I ate steak.\n28118,2018/04/30,\"I had dinner with Carter, Kayden, Emily, Andrew. I ate sushi.\",\"I had dinner with Carter, Kayden, Emily, Andrew. I ate sushi.\"\n28119,2018/04/30,\"I spent 24 talking to Piper, Nora on various topics late in the evening.\",\"I spent 24 talking to Piper, Nora on various topics late in the evening.\"\n28120,2018/04/30,\"I talked to Piper, Nevaeh for 52 minutes in the early afternoon.\",\"I talked to Piper, Nevaeh for 52 minutes in the early afternoon.\"\n28121,2018/04/30,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n28122,2018/04/30,I watched a tv series for 46 minutes on TV today.,I watched a tv series for 46 minutes on TV today.\n28123,2018/05/01,I went on a date with Kinsley on 2018/05/01 at a restaurant,I went on a date with Kinsley on 2018/05/01 at a restaurant\n28124,2018/05/01,I did weight lifting on 2018/05/01.,I did weight lifting on 2018/05/01.\n28125,2018/05/01,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n28126,2018/05/01,I had lunch. I ate steak.,I had lunch. I ate steak.\n28127,2018/05/01,\"I had sushi for dinner with Emily, Carter, Kayden\",\"I had sushi for dinner with Emily, Carter, Kayden\"\n28128,2018/05/01,\"I spent 26 talking to Nevaeh, Eva, Nora, Piper on various topics in the early evening.\",\"I spent 26 talking to Nevaeh, Eva, Nora, Piper on various topics in the early evening.\"\n28129,2018/05/01,I talked to Layla for 53 minutes in the late afternoon.,I talked to Layla for 53 minutes in the late afternoon.\n28130,2018/05/01,I talked to Lydia for 21 minutes in the early afternoon.,I talked to Lydia for 21 minutes in the early afternoon.\n28131,2018/05/01,I talked to Piper for 49 minutes in the morning.,I talked to Piper for 49 minutes in the morning.\n28132,2018/05/01,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n28133,2018/05/01,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n28134,2018/05/02,I did swimming on 2018/05/02.,I did swimming on 2018/05/02.\n28135,2018/05/02,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n28136,2018/05/02,\"I had lunch with Avery, Nevaeh, Rylee, Piper, Nora, Hazel. I ate tacos.\",\"I had lunch with Avery, Nevaeh, Rylee, Piper, Nora, Hazel. I ate tacos.\"\n28137,2018/05/02,I had sandwich for dinner with Carter,I had sandwich for dinner with Carter\n28138,2018/05/02,I spent 6 talking to Nevaeh on various topics in the early afternoon.,I spent 6 talking to Nevaeh on various topics in the early afternoon.\n28139,2018/05/02,\"I spent 7 talking to Nevaeh, Layla, Kinsley on various topics in the morning.\",\"I spent 7 talking to Nevaeh, Layla, Kinsley on various topics in the morning.\"\n28140,2018/05/02,\"I spent 51 talking to Claire, Hazel, Kinsley, Piper on various topics in the morning.\",\"I spent 51 talking to Claire, Hazel, Kinsley, Piper on various topics in the morning.\"\n28141,2018/05/02,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n28142,2018/05/02,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n28143,2018/05/03,\"On 2018/05/03, I took Matthew on a date to a restaurant\",\"On 2018/05/03, I took Matthew on a date to a restaurant\"\n28144,2018/05/03,I did swimming on 2018/05/03.,I did swimming on 2018/05/03.\n28145,2018/05/03,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n28146,2018/05/03,I had lunch. I ate steak.,I had lunch. I ate steak.\n28147,2018/05/03,\"I had dinner with Benjamin, Jackson. I ate indian food.\",\"I had dinner with Benjamin, Jackson. I ate indian food.\"\n28148,2018/05/03,\"I spent 14 talking to Rylee, Eva, Lydia, Kinsley on various topics in the late afternoon.\",\"I spent 14 talking to Rylee, Eva, Lydia, Kinsley on various topics in the late afternoon.\"\n28149,2018/05/03,\"I talked to Olivia, Lydia for 12 minutes in the late afternoon.\",\"I talked to Olivia, Lydia for 12 minutes in the late afternoon.\"\n28150,2018/05/03,\"I talked to Layla, Claire for 15 minutes in the early evening.\",\"I talked to Layla, Claire for 15 minutes in the early evening.\"\n28151,2018/05/03,\"I talked to Olivia, Piper for 39 minutes in the morning.\",\"I talked to Olivia, Piper for 39 minutes in the morning.\"\n28152,2018/05/03,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n28153,2018/05/03,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n28154,2018/05/04,\"I went grocery shopping. I bought some clementines, guava, milk, pineapple juice, orange juice, guava juice, and toothbrush, mouth wash, facial wash, toothpaste\",\"I went grocery shopping. I bought some clementines, guava, milk, pineapple juice, orange juice, guava juice, and toothbrush, mouth wash, facial wash, toothpaste\"\n28155,2018/05/04,I did weight lifting on 2018/05/04.,I did weight lifting on 2018/05/04.\n28156,2018/05/04,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n28157,2018/05/04,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n28158,2018/05/04,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n28159,2018/05/04,\"I talked to Avery, Kinsley, Claire, Eva for 50 minutes during lunch hours.\",\"I talked to Avery, Kinsley, Claire, Eva for 50 minutes during lunch hours.\"\n28160,2018/05/04,\"I spent 8 talking to Nora, Lydia, Rylee on various topics late in the evening.\",\"I spent 8 talking to Nora, Lydia, Rylee on various topics late in the evening.\"\n28161,2018/05/04,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n28162,2018/05/04,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n28163,2018/05/05,I did HIIT on 2018/05/05.,I did HIIT on 2018/05/05.\n28164,2018/05/05,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n28165,2018/05/05,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n28166,2018/05/05,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n28167,2018/05/05,I spent 27 talking to Lydia on various topics late in the evening.,I spent 27 talking to Lydia on various topics late in the evening.\n28168,2018/05/05,\"I spent 11 talking to Nevaeh, Olivia, Piper, Nora on various topics in the early afternoon.\",\"I spent 11 talking to Nevaeh, Olivia, Piper, Nora on various topics in the early afternoon.\"\n28169,2018/05/05,I talked to Piper for 39 minutes in the late afternoon.,I talked to Piper for 39 minutes in the late afternoon.\n28170,2018/05/05,\"I talked to Kinsley, Piper for 5 minutes in the early evening.\",\"I talked to Kinsley, Piper for 5 minutes in the early evening.\"\n28171,2018/05/05,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n28172,2018/05/05,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n28173,2018/05/06,I did swimming on 2018/05/06.,I did swimming on 2018/05/06.\n28174,2018/05/06,\"I had breakfast with Emily, Carter, Andrew. I ate toast and cheese.\",\"I had breakfast with Emily, Carter, Andrew. I ate toast and cheese.\"\n28175,2018/05/06,I ate sushi for lunch.,I ate sushi for lunch.\n28176,2018/05/06,I had chinese food for dinner with Avery,I had chinese food for dinner with Avery\n28177,2018/05/06,\"I spent 31 talking to Lydia, Olivia, Hazel on various topics in the early afternoon.\",\"I spent 31 talking to Lydia, Olivia, Hazel on various topics in the early afternoon.\"\n28178,2018/05/06,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n28179,2018/05/06,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n28180,2018/05/07,I did weight lifting on 2018/05/07.,I did weight lifting on 2018/05/07.\n28181,2018/05/07,\"I had eggs, sausages, and bread for breakfast with Emily\",\"I had eggs, sausages, and bread for breakfast with Emily\"\n28182,2018/05/07,I had lunch. I ate steak.,I had lunch. I ate steak.\n28183,2018/05/07,\"I had dinner with Andrew, Kayden, Emily. I ate steak.\",\"I had dinner with Andrew, Kayden, Emily. I ate steak.\"\n28184,2018/05/07,I spent 6 talking to Olivia on various topics during lunch hours.,I spent 6 talking to Olivia on various topics during lunch hours.\n28185,2018/05/07,\"I talked to Rylee, Eva, Layla for 38 minutes in the late afternoon.\",\"I talked to Rylee, Eva, Layla for 38 minutes in the late afternoon.\"\n28186,2018/05/07,I spent 45 talking to Nevaeh on various topics late in the evening.,I spent 45 talking to Nevaeh on various topics late in the evening.\n28187,2018/05/07,\"I talked to Kinsley, Lydia, Nora, Nevaeh for 54 minutes during lunch hours.\",\"I talked to Kinsley, Lydia, Nora, Nevaeh for 54 minutes during lunch hours.\"\n28188,2018/05/07,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n28189,2018/05/07,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n28190,2018/05/08,I did weight lifting on 2018/05/08.,I did weight lifting on 2018/05/08.\n28191,2018/05/08,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n28192,2018/05/08,I prepare sushi for lunch.,I prepare sushi for lunch.\n28193,2018/05/08,I had dinner with Kayden. I ate pasta.,I had dinner with Kayden. I ate pasta.\n28194,2018/05/08,I spent 20 talking to Nevaeh on various topics late in the evening.,I spent 20 talking to Nevaeh on various topics late in the evening.\n28195,2018/05/08,I talked to Olivia for 19 minutes in the late afternoon.,I talked to Olivia for 19 minutes in the late afternoon.\n28196,2018/05/08,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n28197,2018/05/08,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n28198,2018/05/09,I did swimming on 2018/05/09.,I did swimming on 2018/05/09.\n28199,2018/05/09,\"I had breakfast with Jackson, Willow. I ate cereals.\",\"I had breakfast with Jackson, Willow. I ate cereals.\"\n28200,2018/05/09,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n28201,2018/05/09,\"I had a burger for dinner with Carter, Kayden, Emily\",\"I had a burger for dinner with Carter, Kayden, Emily\"\n28202,2018/05/09,I talked to Claire for 30 minutes in the morning.,I talked to Claire for 30 minutes in the morning.\n28203,2018/05/09,\"I talked to Layla, Lydia for 52 minutes in the morning.\",\"I talked to Layla, Lydia for 52 minutes in the morning.\"\n28204,2018/05/09,\"I talked to Piper, Layla, Kinsley for 54 minutes during lunch hours.\",\"I talked to Piper, Layla, Kinsley for 54 minutes during lunch hours.\"\n28205,2018/05/09,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n28206,2018/05/09,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n28207,2018/05/10,I did running on 2018/05/10.,I did running on 2018/05/10.\n28208,2018/05/10,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n28209,2018/05/10,I ate pasta for lunch.,I ate pasta for lunch.\n28210,2018/05/10,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n28211,2018/05/10,\"I spent 8 talking to Piper, Avery, Olivia on various topics in the morning.\",\"I spent 8 talking to Piper, Avery, Olivia on various topics in the morning.\"\n28212,2018/05/10,I spent 21 talking to Piper on various topics in the morning.,I spent 21 talking to Piper on various topics in the morning.\n28213,2018/05/10,\"I spent 33 talking to Eva, Nevaeh on various topics in the early evening.\",\"I spent 33 talking to Eva, Nevaeh on various topics in the early evening.\"\n28214,2018/05/10,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n28215,2018/05/10,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n28216,2018/05/11,\"I went grocery shopping with Carter, Kayden, Andrew. I bought some peaches, pineapples, soda, chocolate milk, guava juice, and mouthwash, toothbrush\",\"I went grocery shopping with Carter, Kayden, Andrew. I bought some peaches, pineapples, soda, chocolate milk, guava juice, and mouthwash, toothbrush\"\n28217,2018/05/11,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n28218,2018/05/11,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n28219,2018/05/11,\"I had sushi for dinner with Nora, Lydia, Piper, Claire, Layla, Kinsley, Olivia, Piper, Nevaeh, Eva\",\"I had sushi for dinner with Nora, Lydia, Piper, Claire, Layla, Kinsley, Olivia, Piper, Nevaeh, Eva\"\n28220,2018/05/11,I talked to Hazel for 51 minutes in the morning.,I talked to Hazel for 51 minutes in the morning.\n28221,2018/05/11,\"I talked to Avery, Kinsley, Piper, Lydia for 36 minutes late in the evening.\",\"I talked to Avery, Kinsley, Piper, Lydia for 36 minutes late in the evening.\"\n28222,2018/05/11,\"I spent 55 talking to Nevaeh, Eva on various topics in the late afternoon.\",\"I spent 55 talking to Nevaeh, Eva on various topics in the late afternoon.\"\n28223,2018/05/11,\"I spent 23 talking to Nevaeh, Rylee on various topics late in the evening.\",\"I spent 23 talking to Nevaeh, Rylee on various topics late in the evening.\"\n28224,2018/05/11,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n28225,2018/05/11,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n28226,2018/05/12,I did running on 2018/05/12.,I did running on 2018/05/12.\n28227,2018/05/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n28228,2018/05/12,I prepare tacos for lunch.,I prepare tacos for lunch.\n28229,2018/05/12,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n28230,2018/05/12,\"I talked to Rylee, Eva for 19 minutes late in the evening.\",\"I talked to Rylee, Eva for 19 minutes late in the evening.\"\n28231,2018/05/12,\"I talked to Nora, Hazel, Lydia, Rylee for 48 minutes late in the evening.\",\"I talked to Nora, Hazel, Lydia, Rylee for 48 minutes late in the evening.\"\n28232,2018/05/12,I talked to Kinsley for 36 minutes in the early afternoon.,I talked to Kinsley for 36 minutes in the early afternoon.\n28233,2018/05/12,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n28234,2018/05/12,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n28235,2018/05/13,I did running on 2018/05/13.,I did running on 2018/05/13.\n28236,2018/05/13,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n28237,2018/05/13,I prepare a burger for lunch.,I prepare a burger for lunch.\n28238,2018/05/13,\"I had dinner with Willow, Benjamin, Avery, Jackson. I ate pasta.\",\"I had dinner with Willow, Benjamin, Avery, Jackson. I ate pasta.\"\n28239,2018/05/13,\"I spent 36 talking to Kinsley, Hazel, Piper on various topics in the early evening.\",\"I spent 36 talking to Kinsley, Hazel, Piper on various topics in the early evening.\"\n28240,2018/05/13,I talked to Piper for 8 minutes in the early evening.,I talked to Piper for 8 minutes in the early evening.\n28241,2018/05/13,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n28242,2018/05/13,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n28243,2018/05/14,\"I was cooking cashew chicken , so-easy sloppy joes, ramen noodle stir-fry on 2018/05/14 with Carter, Andrew, Emily at my place\",\"I was cooking cashew chicken , so-easy sloppy joes, ramen noodle stir-fry on 2018/05/14 with Carter, Andrew, Emily at my place\"\n28244,2018/05/14,I did swimming on 2018/05/14.,I did swimming on 2018/05/14.\n28245,2018/05/14,\"I had breakfast with Nevaeh, Hazel. I ate peanut-butter-jam.\",\"I had breakfast with Nevaeh, Hazel. I ate peanut-butter-jam.\"\n28246,2018/05/14,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n28247,2018/05/14,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n28248,2018/05/14,\"I spent 36 talking to Piper, Piper, Rylee, Eva on various topics during lunch hours.\",\"I spent 36 talking to Piper, Piper, Rylee, Eva on various topics during lunch hours.\"\n28249,2018/05/14,\"I talked to Layla, Lydia, Kinsley, Hazel for 44 minutes in the morning.\",\"I talked to Layla, Lydia, Kinsley, Hazel for 44 minutes in the morning.\"\n28250,2018/05/14,\"I spent 24 talking to Layla, Nora, Eva on various topics in the late afternoon.\",\"I spent 24 talking to Layla, Nora, Eva on various topics in the late afternoon.\"\n28251,2018/05/14,I talked to Avery for 53 minutes in the early evening.,I talked to Avery for 53 minutes in the early evening.\n28252,2018/05/14,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n28253,2018/05/14,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n28254,2018/05/15,I did biking on 2018/05/15.,I did biking on 2018/05/15.\n28255,2018/05/15,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n28256,2018/05/15,I had lunch. I ate steak.,I had lunch. I ate steak.\n28257,2018/05/15,I prepare sushi for dinner.,I prepare sushi for dinner.\n28258,2018/05/15,I spent 51 talking to Lydia on various topics in the early evening.,I spent 51 talking to Lydia on various topics in the early evening.\n28259,2018/05/15,\"I talked to Claire, Lydia, Layla, Olivia for 47 minutes in the early afternoon.\",\"I talked to Claire, Lydia, Layla, Olivia for 47 minutes in the early afternoon.\"\n28260,2018/05/15,\"I talked to Layla, Hazel, Lydia, Nora for 21 minutes during lunch hours.\",\"I talked to Layla, Hazel, Lydia, Nora for 21 minutes during lunch hours.\"\n28261,2018/05/15,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n28262,2018/05/15,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n28263,2018/05/16,I did hiking on 2018/05/16.,I did hiking on 2018/05/16.\n28264,2018/05/16,\"I had pancakes for breakfast with Emily, Kayden\",\"I had pancakes for breakfast with Emily, Kayden\"\n28265,2018/05/16,\"I had lunch with Andrew, Emily. I ate chinese food.\",\"I had lunch with Andrew, Emily. I ate chinese food.\"\n28266,2018/05/16,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n28267,2018/05/16,\"I spent 48 talking to Avery, Piper, Nora, Piper on various topics in the early afternoon.\",\"I spent 48 talking to Avery, Piper, Nora, Piper on various topics in the early afternoon.\"\n28268,2018/05/16,\"I spent 49 talking to Kinsley, Avery on various topics during lunch hours.\",\"I spent 49 talking to Kinsley, Avery on various topics during lunch hours.\"\n28269,2018/05/16,\"I talked to Avery, Piper for 35 minutes during lunch hours.\",\"I talked to Avery, Piper for 35 minutes during lunch hours.\"\n28270,2018/05/16,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n28271,2018/05/16,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n28272,2018/05/17,\"On 2018/05/17, I took Roman on a date to a coffee Shop\",\"On 2018/05/17, I took Roman on a date to a coffee Shop\"\n28273,2018/05/17,\"I went grocery shopping with Kayden, Andrew. I bought some apples, strawberries, blackberries, pears, chocolate milk, mineral water, and shampoo, conditioner, toothpaste\",\"I went grocery shopping with Kayden, Andrew. I bought some apples, strawberries, blackberries, pears, chocolate milk, mineral water, and shampoo, conditioner, toothpaste\"\n28274,2018/05/17,I did swimming on 2018/05/17.,I did swimming on 2018/05/17.\n28275,2018/05/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n28276,2018/05/17,\"I had sushi for lunch with Kinsley, Nora, Lydia, Eva, Hazel, Layla\",\"I had sushi for lunch with Kinsley, Nora, Lydia, Eva, Hazel, Layla\"\n28277,2018/05/17,\"I had pasta for dinner with Avery, Jackson, Benjamin, Willow\",\"I had pasta for dinner with Avery, Jackson, Benjamin, Willow\"\n28278,2018/05/17,\"I talked to Claire, Lydia for 8 minutes in the morning.\",\"I talked to Claire, Lydia for 8 minutes in the morning.\"\n28279,2018/05/17,\"I spent 20 talking to Avery, Rylee, Eva, Layla on various topics in the morning.\",\"I spent 20 talking to Avery, Rylee, Eva, Layla on various topics in the morning.\"\n28280,2018/05/17,\"I talked to Layla, Lydia, Rylee for 28 minutes during lunch hours.\",\"I talked to Layla, Lydia, Rylee for 28 minutes during lunch hours.\"\n28281,2018/05/17,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n28282,2018/05/17,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n28283,2018/05/18,I did biking on 2018/05/18.,I did biking on 2018/05/18.\n28284,2018/05/18,\"I had breakfast with Jackson, Benjamin, Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Benjamin, Avery. I ate eggs, sausages, and bread.\"\n28285,2018/05/18,I had lunch with Emily. I ate sandwich.,I had lunch with Emily. I ate sandwich.\n28286,2018/05/18,I ate steak for dinner.,I ate steak for dinner.\n28287,2018/05/18,\"I talked to Lydia, Piper for 39 minutes in the morning.\",\"I talked to Lydia, Piper for 39 minutes in the morning.\"\n28288,2018/05/18,I spent 49 talking to Piper on various topics in the early afternoon.,I spent 49 talking to Piper on various topics in the early afternoon.\n28289,2018/05/18,\"I spent 6 talking to Avery, Eva on various topics late in the evening.\",\"I spent 6 talking to Avery, Eva on various topics late in the evening.\"\n28290,2018/05/18,\"I spent 29 talking to Avery, Layla on various topics during lunch hours.\",\"I spent 29 talking to Avery, Layla on various topics during lunch hours.\"\n28291,2018/05/18,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n28292,2018/05/18,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n28293,2018/05/19,I did HIIT on 2018/05/19.,I did HIIT on 2018/05/19.\n28294,2018/05/19,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n28295,2018/05/19,I ate a burger for lunch.,I ate a burger for lunch.\n28296,2018/05/19,\"I had fish and chips for dinner with Willow, Avery, Benjamin\",\"I had fish and chips for dinner with Willow, Avery, Benjamin\"\n28297,2018/05/19,I spent 22 talking to Piper on various topics in the morning.,I spent 22 talking to Piper on various topics in the morning.\n28298,2018/05/19,I spent 36 talking to Eva on various topics late in the evening.,I spent 36 talking to Eva on various topics late in the evening.\n28299,2018/05/19,I talked to Layla for 12 minutes in the early afternoon.,I talked to Layla for 12 minutes in the early afternoon.\n28300,2018/05/19,\"I talked to Avery, Kinsley for 45 minutes late in the evening.\",\"I talked to Avery, Kinsley for 45 minutes late in the evening.\"\n28301,2018/05/19,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n28302,2018/05/19,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n28303,2018/05/20,I did running on 2018/05/20.,I did running on 2018/05/20.\n28304,2018/05/20,\"I had breakfast with Avery, Benjamin, Jackson, Willow. I ate pancakes.\",\"I had breakfast with Avery, Benjamin, Jackson, Willow. I ate pancakes.\"\n28305,2018/05/20,\"I had lunch with Kinsley, Avery, Eva. I ate pasta.\",\"I had lunch with Kinsley, Avery, Eva. I ate pasta.\"\n28306,2018/05/20,\"I had dinner with Kayden, Carter, Emily. I ate chinese food.\",\"I had dinner with Kayden, Carter, Emily. I ate chinese food.\"\n28307,2018/05/20,\"I spent 18 talking to Kinsley, Layla, Hazel, Eva on various topics late in the evening.\",\"I spent 18 talking to Kinsley, Layla, Hazel, Eva on various topics late in the evening.\"\n28308,2018/05/20,\"I spent 12 talking to Avery, Kinsley, Nora, Layla on various topics in the early evening.\",\"I spent 12 talking to Avery, Kinsley, Nora, Layla on various topics in the early evening.\"\n28309,2018/05/20,\"I talked to Hazel, Layla, Piper, Claire for 9 minutes in the morning.\",\"I talked to Hazel, Layla, Piper, Claire for 9 minutes in the morning.\"\n28310,2018/05/20,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n28311,2018/05/20,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n28312,2018/05/21,I went on a date with Leonardo on 2018/05/21 at a coffee Shop,I went on a date with Leonardo on 2018/05/21 at a coffee Shop\n28313,2018/05/21,I did running on 2018/05/21.,I did running on 2018/05/21.\n28314,2018/05/21,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n28315,2018/05/21,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n28316,2018/05/21,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n28317,2018/05/21,\"I spent 41 talking to Avery, Claire on various topics late in the evening.\",\"I spent 41 talking to Avery, Claire on various topics late in the evening.\"\n28318,2018/05/21,\"I spent 21 talking to Kinsley, Olivia, Nora, Nevaeh on various topics late in the evening.\",\"I spent 21 talking to Kinsley, Olivia, Nora, Nevaeh on various topics late in the evening.\"\n28319,2018/05/21,I talked to Hazel for 18 minutes during lunch hours.,I talked to Hazel for 18 minutes during lunch hours.\n28320,2018/05/21,\"I spent 42 talking to Claire, Lydia on various topics in the morning.\",\"I spent 42 talking to Claire, Lydia on various topics in the morning.\"\n28321,2018/05/21,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n28322,2018/05/21,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n28323,2018/05/22,I did swimming on 2018/05/22.,I did swimming on 2018/05/22.\n28324,2018/05/22,I had breakfast with Andrew. I ate pancakes.,I had breakfast with Andrew. I ate pancakes.\n28325,2018/05/22,\"I had fish and chips for lunch with Claire, Piper, Hazel, Eva, Lydia, Rylee, Nevaeh, Piper\",\"I had fish and chips for lunch with Claire, Piper, Hazel, Eva, Lydia, Rylee, Nevaeh, Piper\"\n28326,2018/05/22,\"I had dinner with Jackson, Willow, Benjamin. I ate a burger.\",\"I had dinner with Jackson, Willow, Benjamin. I ate a burger.\"\n28327,2018/05/22,\"I spent 46 talking to Olivia, Piper, Lydia on various topics during lunch hours.\",\"I spent 46 talking to Olivia, Piper, Lydia on various topics during lunch hours.\"\n28328,2018/05/22,\"I talked to Layla, Rylee for 50 minutes in the early afternoon.\",\"I talked to Layla, Rylee for 50 minutes in the early afternoon.\"\n28329,2018/05/22,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n28330,2018/05/22,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n28331,2018/05/23,I really enjoyed working out on 2018/05/23,I really enjoyed working out on 2018/05/23\n28332,2018/05/23,\"I went grocery shopping with Kayden. I bought some peaches, pineapples, strawberries, coffee, soda, sports drinks, and paper towel, mouthwash\",\"I went grocery shopping with Kayden. I bought some peaches, pineapples, strawberries, coffee, soda, sports drinks, and paper towel, mouthwash\"\n28333,2018/05/23,I did hiking on 2018/05/23.,I did hiking on 2018/05/23.\n28334,2018/05/23,\"I had cereals for breakfast with Willow, Benjamin, Jackson, Avery\",\"I had cereals for breakfast with Willow, Benjamin, Jackson, Avery\"\n28335,2018/05/23,\"I had sushi for lunch with Andrew, Kayden, Carter\",\"I had sushi for lunch with Andrew, Kayden, Carter\"\n28336,2018/05/23,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n28337,2018/05/23,I spent 14 talking to Nora on various topics late in the evening.,I spent 14 talking to Nora on various topics late in the evening.\n28338,2018/05/23,I talked to Piper for 53 minutes late in the evening.,I talked to Piper for 53 minutes late in the evening.\n28339,2018/05/23,\"I talked to Olivia, Claire, Piper, Eva for 51 minutes in the late afternoon.\",\"I talked to Olivia, Claire, Piper, Eva for 51 minutes in the late afternoon.\"\n28340,2018/05/23,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n28341,2018/05/23,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n28342,2018/05/24,I did swimming on 2018/05/24.,I did swimming on 2018/05/24.\n28343,2018/05/24,I had breakfast with Avery. I ate pancakes.,I had breakfast with Avery. I ate pancakes.\n28344,2018/05/24,I had lunch with Carter. I ate pasta.,I had lunch with Carter. I ate pasta.\n28345,2018/05/24,I ate steak for dinner.,I ate steak for dinner.\n28346,2018/05/24,\"I talked to Nevaeh, Olivia, Avery for 27 minutes in the early afternoon.\",\"I talked to Nevaeh, Olivia, Avery for 27 minutes in the early afternoon.\"\n28347,2018/05/24,\"I talked to Eva, Nevaeh for 46 minutes in the early evening.\",\"I talked to Eva, Nevaeh for 46 minutes in the early evening.\"\n28348,2018/05/24,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n28349,2018/05/24,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n28350,2018/05/25,\"I bought some watermelons, cherres, mineral water, chocolate milk, toilet paper, toothbrush from the grocery store. I saw Avery, Olivia, Piper, Kinsley, Nora at the grocery store.\",\"I bought some watermelons, cherres, mineral water, chocolate milk, toilet paper, toothbrush from the grocery store. I saw Avery, Olivia, Piper, Kinsley, Nora at the grocery store.\"\n28351,2018/05/25,I did swimming on 2018/05/25.,I did swimming on 2018/05/25.\n28352,2018/05/25,\"I had breakfast with Piper, Piper, Avery, Claire. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Piper, Avery, Claire. I ate eggs, sausages, and bread.\"\n28353,2018/05/25,I ate steak for lunch.,I ate steak for lunch.\n28354,2018/05/25,I had pasta for dinner with Andrew,I had pasta for dinner with Andrew\n28355,2018/05/25,I talked to Nevaeh for 9 minutes during lunch hours.,I talked to Nevaeh for 9 minutes during lunch hours.\n28356,2018/05/25,\"I talked to Piper, Piper for 47 minutes during lunch hours.\",\"I talked to Piper, Piper for 47 minutes during lunch hours.\"\n28357,2018/05/25,\"I talked to Piper, Nora for 8 minutes in the early evening.\",\"I talked to Piper, Nora for 8 minutes in the early evening.\"\n28358,2018/05/25,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n28359,2018/05/25,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n28360,2018/05/26,\"I had breakfast with Jackson. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson. I ate eggs, sausages, and bread.\"\n28361,2018/05/26,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n28362,2018/05/26,\"I had dinner with Willow, Avery, Jackson, Benjamin. I ate steak.\",\"I had dinner with Willow, Avery, Jackson, Benjamin. I ate steak.\"\n28363,2018/05/26,I spent 6 talking to Nevaeh on various topics late in the evening.,I spent 6 talking to Nevaeh on various topics late in the evening.\n28364,2018/05/26,\"I spent 36 talking to Piper, Piper, Hazel on various topics in the early evening.\",\"I spent 36 talking to Piper, Piper, Hazel on various topics in the early evening.\"\n28365,2018/05/26,I spent 51 talking to Nevaeh on various topics in the morning.,I spent 51 talking to Nevaeh on various topics in the morning.\n28366,2018/05/26,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n28367,2018/05/26,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n28368,2018/05/27,I did biking on 2018/05/27.,I did biking on 2018/05/27.\n28369,2018/05/27,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n28370,2018/05/27,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n28371,2018/05/27,I had fish and chips for dinner with Kayden,I had fish and chips for dinner with Kayden\n28372,2018/05/27,I spent 44 talking to Nora on various topics during lunch hours.,I spent 44 talking to Nora on various topics during lunch hours.\n28373,2018/05/27,I spent 17 talking to Avery on various topics in the early evening.,I spent 17 talking to Avery on various topics in the early evening.\n28374,2018/05/27,\"I talked to Kinsley, Piper, Eva for 9 minutes in the early afternoon.\",\"I talked to Kinsley, Piper, Eva for 9 minutes in the early afternoon.\"\n28375,2018/05/27,I spent 45 talking to Piper on various topics in the early evening.,I spent 45 talking to Piper on various topics in the early evening.\n28376,2018/05/27,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n28377,2018/05/27,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n28378,2018/05/28,I did hiking on 2018/05/28.,I did hiking on 2018/05/28.\n28379,2018/05/28,I ate cereals for breakfast.,I ate cereals for breakfast.\n28380,2018/05/28,I ate tacos for lunch.,I ate tacos for lunch.\n28381,2018/05/28,I ate a burger for dinner.,I ate a burger for dinner.\n28382,2018/05/28,\"I spent 41 talking to Lydia, Eva on various topics in the early afternoon.\",\"I spent 41 talking to Lydia, Eva on various topics in the early afternoon.\"\n28383,2018/05/28,\"I spent 18 talking to Hazel, Kinsley on various topics in the early evening.\",\"I spent 18 talking to Hazel, Kinsley on various topics in the early evening.\"\n28384,2018/05/28,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n28385,2018/05/28,I spent 33 minutes watching a movie on TV today.,I spent 33 minutes watching a movie on TV today.\n28386,2018/05/29,\"I bought some mangos, pineapple juice, mango juice, mineral water, paper towel from the grocery store. I saw Kayden, Andrew at the grocery store.\",\"I bought some mangos, pineapple juice, mango juice, mineral water, paper towel from the grocery store. I saw Kayden, Andrew at the grocery store.\"\n28387,2018/05/29,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n28388,2018/05/29,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n28389,2018/05/29,I prepare steak for dinner.,I prepare steak for dinner.\n28390,2018/05/29,I talked to Avery for 9 minutes in the late afternoon.,I talked to Avery for 9 minutes in the late afternoon.\n28391,2018/05/29,\"I spent 35 talking to Layla, Lydia on various topics in the early afternoon.\",\"I spent 35 talking to Layla, Lydia on various topics in the early afternoon.\"\n28392,2018/05/29,\"I talked to Hazel, Avery, Nora, Rylee for 38 minutes in the early afternoon.\",\"I talked to Hazel, Avery, Nora, Rylee for 38 minutes in the early afternoon.\"\n28393,2018/05/29,I spent 17 talking to Eva on various topics during lunch hours.,I spent 17 talking to Eva on various topics during lunch hours.\n28394,2018/05/29,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n28395,2018/05/29,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n28396,2018/05/30,I did weight lifting on 2018/05/30.,I did weight lifting on 2018/05/30.\n28397,2018/05/30,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n28398,2018/05/30,I ate pasta for lunch.,I ate pasta for lunch.\n28399,2018/05/30,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n28400,2018/05/30,\"I spent 5 talking to Layla, Hazel, Piper on various topics in the morning.\",\"I spent 5 talking to Layla, Hazel, Piper on various topics in the morning.\"\n28401,2018/05/30,\"I talked to Rylee, Layla, Nevaeh for 34 minutes in the early afternoon.\",\"I talked to Rylee, Layla, Nevaeh for 34 minutes in the early afternoon.\"\n28402,2018/05/30,\"I spent 39 talking to Claire, Nora on various topics in the morning.\",\"I spent 39 talking to Claire, Nora on various topics in the morning.\"\n28403,2018/05/30,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n28404,2018/05/30,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n28405,2018/05/31,I did running on 2018/05/31.,I did running on 2018/05/31.\n28406,2018/05/31,\"I had peanut-butter-jam for breakfast with Nora, Nevaeh, Avery, Lydia, Olivia, Piper, Eva, Kinsley\",\"I had peanut-butter-jam for breakfast with Nora, Nevaeh, Avery, Lydia, Olivia, Piper, Eva, Kinsley\"\n28407,2018/05/31,\"I had chinese food for lunch with Kayden, Emily, Carter\",\"I had chinese food for lunch with Kayden, Emily, Carter\"\n28408,2018/05/31,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n28409,2018/05/31,\"I spent 5 talking to Claire, Kinsley, Nora, Piper on various topics in the early evening.\",\"I spent 5 talking to Claire, Kinsley, Nora, Piper on various topics in the early evening.\"\n28410,2018/05/31,I talked to Avery for 5 minutes late in the evening.,I talked to Avery for 5 minutes late in the evening.\n28411,2018/05/31,\"I spent 40 talking to Avery, Hazel on various topics in the early evening.\",\"I spent 40 talking to Avery, Hazel on various topics in the early evening.\"\n28412,2018/05/31,\"I spent 12 talking to Kinsley, Olivia on various topics in the late afternoon.\",\"I spent 12 talking to Kinsley, Olivia on various topics in the late afternoon.\"\n28413,2018/05/31,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n28414,2018/05/31,I watched a documentary for 29 minutes on TV today.,I watched a documentary for 29 minutes on TV today.\n28415,2018/06/01,I did swimming on 2018/06/01.,I did swimming on 2018/06/01.\n28416,2018/06/01,\"I had breakfast with Willow, Benjamin, Avery, Jackson. I ate toast and cheese.\",\"I had breakfast with Willow, Benjamin, Avery, Jackson. I ate toast and cheese.\"\n28417,2018/06/01,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n28418,2018/06/01,I prepare a burger for dinner.,I prepare a burger for dinner.\n28419,2018/06/01,\"I talked to Nora, Eva for 28 minutes during lunch hours.\",\"I talked to Nora, Eva for 28 minutes during lunch hours.\"\n28420,2018/06/01,\"I talked to Piper, Nora, Piper for 10 minutes during lunch hours.\",\"I talked to Piper, Nora, Piper for 10 minutes during lunch hours.\"\n28421,2018/06/01,\"I talked to Nevaeh, Nora for 35 minutes in the morning.\",\"I talked to Nevaeh, Nora for 35 minutes in the morning.\"\n28422,2018/06/01,\"I spent 21 talking to Claire, Lydia on various topics in the late afternoon.\",\"I spent 21 talking to Claire, Lydia on various topics in the late afternoon.\"\n28423,2018/06/01,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n28424,2018/06/01,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n28425,2018/06/02,I did running on 2018/06/02.,I did running on 2018/06/02.\n28426,2018/06/02,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n28427,2018/06/02,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n28428,2018/06/02,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n28429,2018/06/02,\"I spent 22 talking to Lydia, Kinsley on various topics in the early evening.\",\"I spent 22 talking to Lydia, Kinsley on various topics in the early evening.\"\n28430,2018/06/02,I talked to Olivia for 17 minutes in the late afternoon.,I talked to Olivia for 17 minutes in the late afternoon.\n28431,2018/06/02,\"I spent 32 talking to Piper, Kinsley on various topics late in the evening.\",\"I spent 32 talking to Piper, Kinsley on various topics late in the evening.\"\n28432,2018/06/02,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n28433,2018/06/02,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n28434,2018/06/03,I spent some time gardening on 2018/06/03.,I spent some time gardening on 2018/06/03.\n28435,2018/06/03,I did HIIT on 2018/06/03.,I did HIIT on 2018/06/03.\n28436,2018/06/03,\"I had toast and cheese for breakfast with Andrew, Carter\",\"I had toast and cheese for breakfast with Andrew, Carter\"\n28437,2018/06/03,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n28438,2018/06/03,I ate indian food for dinner.,I ate indian food for dinner.\n28439,2018/06/03,I spent 43 talking to Lydia on various topics during lunch hours.,I spent 43 talking to Lydia on various topics during lunch hours.\n28440,2018/06/03,I spent 51 talking to Hazel on various topics late in the evening.,I spent 51 talking to Hazel on various topics late in the evening.\n28441,2018/06/03,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n28442,2018/06/03,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n28443,2018/06/04,I spent some time gardening on 2018/06/04.,I spent some time gardening on 2018/06/04.\n28444,2018/06/04,I did running on 2018/06/04.,I did running on 2018/06/04.\n28445,2018/06/04,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n28446,2018/06/04,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n28447,2018/06/04,I ate a burger for dinner.,I ate a burger for dinner.\n28448,2018/06/04,\"I spent 14 talking to Hazel, Eva on various topics late in the evening.\",\"I spent 14 talking to Hazel, Eva on various topics late in the evening.\"\n28449,2018/06/04,I talked to Rylee for 11 minutes in the early afternoon.,I talked to Rylee for 11 minutes in the early afternoon.\n28450,2018/06/04,\"I talked to Piper, Piper for 41 minutes in the late afternoon.\",\"I talked to Piper, Piper for 41 minutes in the late afternoon.\"\n28451,2018/06/04,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n28452,2018/06/04,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n28453,2018/06/05,\"I went grocery shopping with Kinsley, Avery, Olivia, Eva, Layla, Piper, Piper, Lydia, Rylee, Hazel. I bought some guava, strawberries, mandarins, soda, and toilet paper\",\"I went grocery shopping with Kinsley, Avery, Olivia, Eva, Layla, Piper, Piper, Lydia, Rylee, Hazel. I bought some guava, strawberries, mandarins, soda, and toilet paper\"\n28454,2018/06/05,I did weight lifting on 2018/06/05.,I did weight lifting on 2018/06/05.\n28455,2018/06/05,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n28456,2018/06/05,I prepare a burger for lunch.,I prepare a burger for lunch.\n28457,2018/06/05,I ate indian food for dinner.,I ate indian food for dinner.\n28458,2018/06/05,\"I talked to Piper, Nora, Piper, Hazel for 41 minutes in the late afternoon.\",\"I talked to Piper, Nora, Piper, Hazel for 41 minutes in the late afternoon.\"\n28459,2018/06/05,I spent 27 talking to Avery on various topics in the early evening.,I spent 27 talking to Avery on various topics in the early evening.\n28460,2018/06/05,\"I talked to Hazel, Piper for 45 minutes during lunch hours.\",\"I talked to Hazel, Piper for 45 minutes during lunch hours.\"\n28461,2018/06/05,\"I talked to Olivia, Kinsley, Nora for 49 minutes in the early evening.\",\"I talked to Olivia, Kinsley, Nora for 49 minutes in the early evening.\"\n28462,2018/06/05,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n28463,2018/06/05,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n28464,2018/06/06,I did weight lifting on 2018/06/06.,I did weight lifting on 2018/06/06.\n28465,2018/06/06,\"I had breakfast with Carter, Andrew, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Andrew, Kayden. I ate peanut-butter-jam.\"\n28466,2018/06/06,I prepare steak for lunch.,I prepare steak for lunch.\n28467,2018/06/06,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n28468,2018/06/06,\"I spent 16 talking to Nevaeh, Olivia, Kinsley on various topics in the morning.\",\"I spent 16 talking to Nevaeh, Olivia, Kinsley on various topics in the morning.\"\n28469,2018/06/06,I spent 34 talking to Hazel on various topics in the early evening.,I spent 34 talking to Hazel on various topics in the early evening.\n28470,2018/06/06,I talked to Kinsley for 19 minutes during lunch hours.,I talked to Kinsley for 19 minutes during lunch hours.\n28471,2018/06/06,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n28472,2018/06/06,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n28473,2018/06/07,\"On 2018/06/07, I took Kinsley on a date to a park\",\"On 2018/06/07, I took Kinsley on a date to a park\"\n28474,2018/06/07,I did biking on 2018/06/07.,I did biking on 2018/06/07.\n28475,2018/06/07,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n28476,2018/06/07,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n28477,2018/06/07,\"I had chinese food for dinner with Emily, Carter, Andrew, Kayden\",\"I had chinese food for dinner with Emily, Carter, Andrew, Kayden\"\n28478,2018/06/07,\"I talked to Nevaeh, Avery for 50 minutes in the early afternoon.\",\"I talked to Nevaeh, Avery for 50 minutes in the early afternoon.\"\n28479,2018/06/07,\"I spent 37 talking to Nevaeh, Olivia, Piper, Claire on various topics late in the evening.\",\"I spent 37 talking to Nevaeh, Olivia, Piper, Claire on various topics late in the evening.\"\n28480,2018/06/07,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n28481,2018/06/07,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n28482,2018/06/08,I did biking on 2018/06/08.,I did biking on 2018/06/08.\n28483,2018/06/08,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n28484,2018/06/08,I ate sandwich for lunch.,I ate sandwich for lunch.\n28485,2018/06/08,I had dinner. I ate steak.,I had dinner. I ate steak.\n28486,2018/06/08,\"I spent 13 talking to Kinsley, Piper, Avery on various topics late in the evening.\",\"I spent 13 talking to Kinsley, Piper, Avery on various topics late in the evening.\"\n28487,2018/06/08,\"I spent 36 talking to Layla, Olivia, Eva on various topics late in the evening.\",\"I spent 36 talking to Layla, Olivia, Eva on various topics late in the evening.\"\n28488,2018/06/08,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n28489,2018/06/08,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n28490,2018/06/09,\"I entertained Benjamin, Willow at my place on 2018/06/09 and bake homemade toaster pastries, gluten-free apple rose tart, cream-filled bundt cake\",\"I entertained Benjamin, Willow at my place on 2018/06/09 and bake homemade toaster pastries, gluten-free apple rose tart, cream-filled bundt cake\"\n28491,2018/06/09,\"I went grocery shopping with Carter, Kayden, Andrew. I bought some guava, oranges, cherres, orange juice, mango juice, and toilet paper\",\"I went grocery shopping with Carter, Kayden, Andrew. I bought some guava, oranges, cherres, orange juice, mango juice, and toilet paper\"\n28492,2018/06/09,I did running on 2018/06/09.,I did running on 2018/06/09.\n28493,2018/06/09,\"I had pancakes for breakfast with Benjamin, Avery, Willow\",\"I had pancakes for breakfast with Benjamin, Avery, Willow\"\n28494,2018/06/09,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n28495,2018/06/09,I ate sushi for dinner.,I ate sushi for dinner.\n28496,2018/06/09,\"I spent 23 talking to Layla, Piper on various topics in the early afternoon.\",\"I spent 23 talking to Layla, Piper on various topics in the early afternoon.\"\n28497,2018/06/09,\"I spent 26 talking to Nevaeh, Eva on various topics late in the evening.\",\"I spent 26 talking to Nevaeh, Eva on various topics late in the evening.\"\n28498,2018/06/09,\"I spent 52 talking to Avery, Nevaeh on various topics during lunch hours.\",\"I spent 52 talking to Avery, Nevaeh on various topics during lunch hours.\"\n28499,2018/06/09,\"I spent 48 talking to Avery, Hazel, Rylee, Lydia on various topics during lunch hours.\",\"I spent 48 talking to Avery, Hazel, Rylee, Lydia on various topics during lunch hours.\"\n28500,2018/06/09,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n28501,2018/06/09,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n28502,2018/06/10,I did weight lifting on 2018/06/10.,I did weight lifting on 2018/06/10.\n28503,2018/06/10,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n28504,2018/06/10,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n28505,2018/06/10,I ate tacos for dinner.,I ate tacos for dinner.\n28506,2018/06/10,I talked to Layla for 48 minutes during lunch hours.,I talked to Layla for 48 minutes during lunch hours.\n28507,2018/06/10,\"I spent 29 talking to Eva, Piper on various topics late in the evening.\",\"I spent 29 talking to Eva, Piper on various topics late in the evening.\"\n28508,2018/06/10,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n28509,2018/06/10,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n28510,2018/06/11,I did running on 2018/06/11.,I did running on 2018/06/11.\n28511,2018/06/11,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n28512,2018/06/11,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n28513,2018/06/11,I prepare indian food for dinner.,I prepare indian food for dinner.\n28514,2018/06/11,\"I spent 49 talking to Piper, Olivia, Lydia on various topics late in the evening.\",\"I spent 49 talking to Piper, Olivia, Lydia on various topics late in the evening.\"\n28515,2018/06/11,\"I spent 12 talking to Olivia, Lydia on various topics late in the evening.\",\"I spent 12 talking to Olivia, Lydia on various topics late in the evening.\"\n28516,2018/06/11,\"I talked to Layla, Eva for 37 minutes late in the evening.\",\"I talked to Layla, Eva for 37 minutes late in the evening.\"\n28517,2018/06/11,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n28518,2018/06/11,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n28519,2018/06/12,I did swimming on 2018/06/12.,I did swimming on 2018/06/12.\n28520,2018/06/12,I ate cereals for breakfast.,I ate cereals for breakfast.\n28521,2018/06/12,I ate steak for lunch.,I ate steak for lunch.\n28522,2018/06/12,I prepare tacos for dinner.,I prepare tacos for dinner.\n28523,2018/06/12,\"I spent 33 talking to Layla, Eva, Nora, Hazel on various topics in the early evening.\",\"I spent 33 talking to Layla, Eva, Nora, Hazel on various topics in the early evening.\"\n28524,2018/06/12,\"I spent 5 talking to Olivia, Nevaeh, Layla, Hazel on various topics in the late afternoon.\",\"I spent 5 talking to Olivia, Nevaeh, Layla, Hazel on various topics in the late afternoon.\"\n28525,2018/06/12,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n28526,2018/06/12,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n28527,2018/06/13,I did HIIT on 2018/06/13.,I did HIIT on 2018/06/13.\n28528,2018/06/13,I ate cereals for breakfast.,I ate cereals for breakfast.\n28529,2018/06/13,I prepare pasta for lunch.,I prepare pasta for lunch.\n28530,2018/06/13,\"I had dinner with Jackson, Willow, Benjamin. I ate fish and chips.\",\"I had dinner with Jackson, Willow, Benjamin. I ate fish and chips.\"\n28531,2018/06/13,I talked to Piper for 40 minutes in the early evening.,I talked to Piper for 40 minutes in the early evening.\n28532,2018/06/13,\"I spent 45 talking to Claire, Piper, Layla on various topics in the late afternoon.\",\"I spent 45 talking to Claire, Piper, Layla on various topics in the late afternoon.\"\n28533,2018/06/13,I talked to Hazel for 39 minutes late in the evening.,I talked to Hazel for 39 minutes late in the evening.\n28534,2018/06/13,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n28535,2018/06/13,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n28536,2018/06/14,\"On 2018/06/14, I took Valentina on a date to a park\",\"On 2018/06/14, I took Valentina on a date to a park\"\n28537,2018/06/14,I did running on 2018/06/14.,I did running on 2018/06/14.\n28538,2018/06/14,I had cereals for breakfast with Carter,I had cereals for breakfast with Carter\n28539,2018/06/14,\"I had lunch with Andrew, Emily, Carter. I ate chinese food.\",\"I had lunch with Andrew, Emily, Carter. I ate chinese food.\"\n28540,2018/06/14,\"I had sushi for dinner with Emily, Carter\",\"I had sushi for dinner with Emily, Carter\"\n28541,2018/06/14,I talked to Nora for 24 minutes late in the evening.,I talked to Nora for 24 minutes late in the evening.\n28542,2018/06/14,\"I talked to Kinsley, Claire, Piper, Olivia for 37 minutes during lunch hours.\",\"I talked to Kinsley, Claire, Piper, Olivia for 37 minutes during lunch hours.\"\n28543,2018/06/14,\"I spent 9 talking to Rylee, Lydia, Piper on various topics in the early evening.\",\"I spent 9 talking to Rylee, Lydia, Piper on various topics in the early evening.\"\n28544,2018/06/14,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n28545,2018/06/14,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n28546,2018/06/15,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n28547,2018/06/15,\"I had lunch with Andrew, Kayden, Carter. I ate sushi.\",\"I had lunch with Andrew, Kayden, Carter. I ate sushi.\"\n28548,2018/06/15,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n28549,2018/06/15,\"I spent 22 talking to Eva, Lydia, Nora, Nevaeh on various topics in the early evening.\",\"I spent 22 talking to Eva, Lydia, Nora, Nevaeh on various topics in the early evening.\"\n28550,2018/06/15,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n28551,2018/06/15,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n28552,2018/06/16,I did swimming on 2018/06/16.,I did swimming on 2018/06/16.\n28553,2018/06/16,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n28554,2018/06/16,I had lunch. I ate steak.,I had lunch. I ate steak.\n28555,2018/06/16,I ate a burger for dinner.,I ate a burger for dinner.\n28556,2018/06/16,\"I talked to Lydia, Rylee, Nora, Claire for 39 minutes in the early afternoon.\",\"I talked to Lydia, Rylee, Nora, Claire for 39 minutes in the early afternoon.\"\n28557,2018/06/16,\"I spent 11 talking to Kinsley, Piper, Hazel, Rylee on various topics during lunch hours.\",\"I spent 11 talking to Kinsley, Piper, Hazel, Rylee on various topics during lunch hours.\"\n28558,2018/06/16,\"I spent 49 talking to Nora, Kinsley on various topics in the morning.\",\"I spent 49 talking to Nora, Kinsley on various topics in the morning.\"\n28559,2018/06/16,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n28560,2018/06/16,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n28561,2018/06/17,I did running on 2018/06/17.,I did running on 2018/06/17.\n28562,2018/06/17,\"I had peanut-butter-jam for breakfast with Andrew, Kayden\",\"I had peanut-butter-jam for breakfast with Andrew, Kayden\"\n28563,2018/06/17,\"I had tacos for lunch with Benjamin, Jackson\",\"I had tacos for lunch with Benjamin, Jackson\"\n28564,2018/06/17,\"I had fish and chips for dinner with Nevaeh, Kinsley, Olivia, Layla, Lydia, Eva, Hazel, Piper, Piper\",\"I had fish and chips for dinner with Nevaeh, Kinsley, Olivia, Layla, Lydia, Eva, Hazel, Piper, Piper\"\n28565,2018/06/17,\"I talked to Hazel, Layla for 23 minutes in the early afternoon.\",\"I talked to Hazel, Layla for 23 minutes in the early afternoon.\"\n28566,2018/06/17,I talked to Lydia for 10 minutes late in the evening.,I talked to Lydia for 10 minutes late in the evening.\n28567,2018/06/17,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n28568,2018/06/17,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n28569,2018/06/18,\"On 2018/06/18, I took Robert on a date to a park\",\"On 2018/06/18, I took Robert on a date to a park\"\n28570,2018/06/18,\"I spent time meditation on 2018/06/18 with Kayden, Carter, Andrew.\",\"I spent time meditation on 2018/06/18 with Kayden, Carter, Andrew.\"\n28571,2018/06/18,\"I bought some guava, blueberries, sports drinks, mineral water, guava juice, shaving cream online.\",\"I bought some guava, blueberries, sports drinks, mineral water, guava juice, shaving cream online.\"\n28572,2018/06/18,I did running on 2018/06/18.,I did running on 2018/06/18.\n28573,2018/06/18,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n28574,2018/06/18,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n28575,2018/06/18,\"I had dinner with Olivia, Layla, Nevaeh, Lydia, Avery, Kinsley, Claire, Hazel. I ate indian food.\",\"I had dinner with Olivia, Layla, Nevaeh, Lydia, Avery, Kinsley, Claire, Hazel. I ate indian food.\"\n28576,2018/06/18,\"I talked to Kinsley, Nevaeh, Avery, Claire for 35 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh, Avery, Claire for 35 minutes late in the evening.\"\n28577,2018/06/18,\"I spent 49 talking to Piper, Nevaeh on various topics during lunch hours.\",\"I spent 49 talking to Piper, Nevaeh on various topics during lunch hours.\"\n28578,2018/06/18,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n28579,2018/06/18,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n28580,2018/06/19,I did running on 2018/06/19.,I did running on 2018/06/19.\n28581,2018/06/19,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n28582,2018/06/19,\"I had lunch with Hazel, Kinsley, Avery, Piper, Eva, Piper, Nevaeh, Olivia, Rylee, Claire. I ate a burger.\",\"I had lunch with Hazel, Kinsley, Avery, Piper, Eva, Piper, Nevaeh, Olivia, Rylee, Claire. I ate a burger.\"\n28583,2018/06/19,\"I had pasta for dinner with Piper, Nora, Kinsley, Hazel, Layla, Claire, Lydia, Eva, Rylee, Nevaeh, Olivia, Piper, Avery\",\"I had pasta for dinner with Piper, Nora, Kinsley, Hazel, Layla, Claire, Lydia, Eva, Rylee, Nevaeh, Olivia, Piper, Avery\"\n28584,2018/06/19,\"I spent 14 talking to Nora, Claire, Piper on various topics in the early afternoon.\",\"I spent 14 talking to Nora, Claire, Piper on various topics in the early afternoon.\"\n28585,2018/06/19,\"I talked to Lydia, Avery, Rylee for 13 minutes in the early afternoon.\",\"I talked to Lydia, Avery, Rylee for 13 minutes in the early afternoon.\"\n28586,2018/06/19,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n28587,2018/06/19,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n28588,2018/06/20,I did swimming on 2018/06/20.,I did swimming on 2018/06/20.\n28589,2018/06/20,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n28590,2018/06/20,I ate pasta for lunch.,I ate pasta for lunch.\n28591,2018/06/20,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n28592,2018/06/20,\"I talked to Rylee, Hazel, Piper for 31 minutes in the late afternoon.\",\"I talked to Rylee, Hazel, Piper for 31 minutes in the late afternoon.\"\n28593,2018/06/20,I spent 8 talking to Claire on various topics in the early afternoon.,I spent 8 talking to Claire on various topics in the early afternoon.\n28594,2018/06/20,\"I spent 48 talking to Eva, Piper, Rylee, Layla on various topics during lunch hours.\",\"I spent 48 talking to Eva, Piper, Rylee, Layla on various topics during lunch hours.\"\n28595,2018/06/20,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n28596,2018/06/20,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n28597,2018/06/21,I did hiking on 2018/06/21.,I did hiking on 2018/06/21.\n28598,2018/06/21,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n28599,2018/06/21,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n28600,2018/06/21,\"I had sandwich for dinner with Carter, Kayden, Emily\",\"I had sandwich for dinner with Carter, Kayden, Emily\"\n28601,2018/06/21,\"I talked to Rylee, Lydia, Nevaeh, Piper for 23 minutes in the late afternoon.\",\"I talked to Rylee, Lydia, Nevaeh, Piper for 23 minutes in the late afternoon.\"\n28602,2018/06/21,\"I spent 51 talking to Hazel, Claire, Eva on various topics in the early evening.\",\"I spent 51 talking to Hazel, Claire, Eva on various topics in the early evening.\"\n28603,2018/06/21,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n28604,2018/06/21,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n28605,2018/06/22,\"I went grocery shopping with Kinsley, Nora. I bought some peaches, mandarins, guava, apple juice, and body lotion\",\"I went grocery shopping with Kinsley, Nora. I bought some peaches, mandarins, guava, apple juice, and body lotion\"\n28606,2018/06/22,I did running on 2018/06/22.,I did running on 2018/06/22.\n28607,2018/06/22,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n28608,2018/06/22,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n28609,2018/06/22,I prepare indian food for dinner.,I prepare indian food for dinner.\n28610,2018/06/22,I talked to Nora for 10 minutes in the early afternoon.,I talked to Nora for 10 minutes in the early afternoon.\n28611,2018/06/22,\"I talked to Piper, Nevaeh, Piper, Nora for 29 minutes in the early evening.\",\"I talked to Piper, Nevaeh, Piper, Nora for 29 minutes in the early evening.\"\n28612,2018/06/22,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n28613,2018/06/22,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n28614,2018/06/23,I did HIIT on 2018/06/23.,I did HIIT on 2018/06/23.\n28615,2018/06/23,\"I had breakfast with Hazel, Nora. I ate cereals.\",\"I had breakfast with Hazel, Nora. I ate cereals.\"\n28616,2018/06/23,I ate indian food for lunch.,I ate indian food for lunch.\n28617,2018/06/23,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n28618,2018/06/23,\"I talked to Claire, Olivia for 13 minutes in the early evening.\",\"I talked to Claire, Olivia for 13 minutes in the early evening.\"\n28619,2018/06/23,\"I spent 6 talking to Claire, Piper, Lydia on various topics during lunch hours.\",\"I spent 6 talking to Claire, Piper, Lydia on various topics during lunch hours.\"\n28620,2018/06/23,I talked to Avery for 50 minutes during lunch hours.,I talked to Avery for 50 minutes during lunch hours.\n28621,2018/06/23,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n28622,2018/06/23,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n28623,2018/06/24,\"I was cooking crockpot spareribs, chow mein, poke on 2018/06/24 with Hazel, Rylee, Layla, Olivia at my place\",\"I was cooking crockpot spareribs, chow mein, poke on 2018/06/24 with Hazel, Rylee, Layla, Olivia at my place\"\n28624,2018/06/24,I did biking on 2018/06/24.,I did biking on 2018/06/24.\n28625,2018/06/24,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n28626,2018/06/24,I prepare sushi for lunch.,I prepare sushi for lunch.\n28627,2018/06/24,I had dinner. I ate steak.,I had dinner. I ate steak.\n28628,2018/06/24,\"I talked to Eva, Rylee, Claire, Nevaeh for 54 minutes late in the evening.\",\"I talked to Eva, Rylee, Claire, Nevaeh for 54 minutes late in the evening.\"\n28629,2018/06/24,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n28630,2018/06/24,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n28631,2018/06/25,\"I bought some blueberries, guava, mandarins, coffee, pineapple juice, milk, conditioner, shampoo online.\",\"I bought some blueberries, guava, mandarins, coffee, pineapple juice, milk, conditioner, shampoo online.\"\n28632,2018/06/25,I did weight lifting on 2018/06/25.,I did weight lifting on 2018/06/25.\n28633,2018/06/25,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n28634,2018/06/25,I ate sandwich for lunch.,I ate sandwich for lunch.\n28635,2018/06/25,I ate chinese food for dinner.,I ate chinese food for dinner.\n28636,2018/06/25,I spent 7 talking to Hazel on various topics during lunch hours.,I spent 7 talking to Hazel on various topics during lunch hours.\n28637,2018/06/25,\"I spent 34 talking to Claire, Layla on various topics in the late afternoon.\",\"I spent 34 talking to Claire, Layla on various topics in the late afternoon.\"\n28638,2018/06/25,\"I talked to Piper, Olivia for 40 minutes in the late afternoon.\",\"I talked to Piper, Olivia for 40 minutes in the late afternoon.\"\n28639,2018/06/25,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n28640,2018/06/25,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n28641,2018/06/26,I did hiking on 2018/06/26.,I did hiking on 2018/06/26.\n28642,2018/06/26,\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin, Jackson, Avery\",\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin, Jackson, Avery\"\n28643,2018/06/26,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n28644,2018/06/26,\"I had pasta for dinner with Piper, Eva, Nevaeh, Hazel, Lydia, Kinsley, Layla, Nora\",\"I had pasta for dinner with Piper, Eva, Nevaeh, Hazel, Lydia, Kinsley, Layla, Nora\"\n28645,2018/06/26,\"I talked to Eva, Rylee, Piper, Kinsley for 20 minutes late in the evening.\",\"I talked to Eva, Rylee, Piper, Kinsley for 20 minutes late in the evening.\"\n28646,2018/06/26,\"I talked to Layla, Nora for 42 minutes in the late afternoon.\",\"I talked to Layla, Nora for 42 minutes in the late afternoon.\"\n28647,2018/06/26,\"I talked to Lydia, Nora for 24 minutes in the late afternoon.\",\"I talked to Lydia, Nora for 24 minutes in the late afternoon.\"\n28648,2018/06/26,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n28649,2018/06/26,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n28650,2018/06/27,\"I spent time gardening on 2018/06/27 with Olivia, Hazel, Kinsley.\",\"I spent time gardening on 2018/06/27 with Olivia, Hazel, Kinsley.\"\n28651,2018/06/27,I did weight lifting on 2018/06/27.,I did weight lifting on 2018/06/27.\n28652,2018/06/27,\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Emily, Andrew\",\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Emily, Andrew\"\n28653,2018/06/27,\"I had lunch with Nora, Lydia, Piper, Avery, Nevaeh, Olivia, Rylee. I ate steak.\",\"I had lunch with Nora, Lydia, Piper, Avery, Nevaeh, Olivia, Rylee. I ate steak.\"\n28654,2018/06/27,\"I had dinner with Piper, Kinsley, Layla, Nora, Nevaeh, Olivia, Avery, Claire, Lydia. I ate chinese food.\",\"I had dinner with Piper, Kinsley, Layla, Nora, Nevaeh, Olivia, Avery, Claire, Lydia. I ate chinese food.\"\n28655,2018/06/27,\"I spent 28 talking to Hazel, Piper, Piper, Kinsley on various topics in the morning.\",\"I spent 28 talking to Hazel, Piper, Piper, Kinsley on various topics in the morning.\"\n28656,2018/06/27,I talked to Lydia for 23 minutes in the early afternoon.,I talked to Lydia for 23 minutes in the early afternoon.\n28657,2018/06/27,\"I spent 28 talking to Nora, Kinsley, Olivia, Piper on various topics in the early afternoon.\",\"I spent 28 talking to Nora, Kinsley, Olivia, Piper on various topics in the early afternoon.\"\n28658,2018/06/27,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n28659,2018/06/27,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n28660,2018/06/28,I went on a date with James on 2018/06/28 at a coffee Shop,I went on a date with James on 2018/06/28 at a coffee Shop\n28661,2018/06/28,I did swimming on 2018/06/28.,I did swimming on 2018/06/28.\n28662,2018/06/28,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n28663,2018/06/28,\"I had chinese food for lunch with Kayden, Andrew\",\"I had chinese food for lunch with Kayden, Andrew\"\n28664,2018/06/28,\"I had a burger for dinner with Claire, Layla, Piper, Piper, Kinsley, Lydia, Rylee, Eva, Avery, Hazel, Nora, Nevaeh\",\"I had a burger for dinner with Claire, Layla, Piper, Piper, Kinsley, Lydia, Rylee, Eva, Avery, Hazel, Nora, Nevaeh\"\n28665,2018/06/28,\"I spent 25 talking to Kinsley, Avery, Layla, Lydia on various topics in the early evening.\",\"I spent 25 talking to Kinsley, Avery, Layla, Lydia on various topics in the early evening.\"\n28666,2018/06/28,\"I talked to Olivia, Claire, Nevaeh, Piper for 19 minutes in the late afternoon.\",\"I talked to Olivia, Claire, Nevaeh, Piper for 19 minutes in the late afternoon.\"\n28667,2018/06/28,\"I talked to Nora, Lydia, Kinsley for 23 minutes in the morning.\",\"I talked to Nora, Lydia, Kinsley for 23 minutes in the morning.\"\n28668,2018/06/28,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n28669,2018/06/28,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n28670,2018/06/29,\"I went grocery shopping. I bought some oranges, apricots, blueberries, soda, apple juice, coffee, orange juice, and paper towel, body lotion\",\"I went grocery shopping. I bought some oranges, apricots, blueberries, soda, apple juice, coffee, orange juice, and paper towel, body lotion\"\n28671,2018/06/29,I did HIIT on 2018/06/29.,I did HIIT on 2018/06/29.\n28672,2018/06/29,\"I had cereals for breakfast with Lydia, Kinsley, Piper, Claire, Avery\",\"I had cereals for breakfast with Lydia, Kinsley, Piper, Claire, Avery\"\n28673,2018/06/29,I had lunch with Carter. I ate sandwich.,I had lunch with Carter. I ate sandwich.\n28674,2018/06/29,\"I had fish and chips for dinner with Rylee, Layla\",\"I had fish and chips for dinner with Rylee, Layla\"\n28675,2018/06/29,\"I spent 34 talking to Rylee, Layla, Nevaeh, Lydia on various topics in the late afternoon.\",\"I spent 34 talking to Rylee, Layla, Nevaeh, Lydia on various topics in the late afternoon.\"\n28676,2018/06/29,I spent 53 talking to Olivia on various topics in the early evening.,I spent 53 talking to Olivia on various topics in the early evening.\n28677,2018/06/29,I talked to Claire for 45 minutes in the early afternoon.,I talked to Claire for 45 minutes in the early afternoon.\n28678,2018/06/29,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n28679,2018/06/29,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n28680,2018/06/30,I did hiking on 2018/06/30.,I did hiking on 2018/06/30.\n28681,2018/06/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n28682,2018/06/30,I prepare sushi for lunch.,I prepare sushi for lunch.\n28683,2018/06/30,\"I had a burger for dinner with Emily, Andrew\",\"I had a burger for dinner with Emily, Andrew\"\n28684,2018/06/30,\"I talked to Olivia, Nora for 50 minutes late in the evening.\",\"I talked to Olivia, Nora for 50 minutes late in the evening.\"\n28685,2018/06/30,I spent 21 talking to Piper on various topics in the morning.,I spent 21 talking to Piper on various topics in the morning.\n28686,2018/06/30,\"I talked to Avery, Kinsley for 45 minutes in the early evening.\",\"I talked to Avery, Kinsley for 45 minutes in the early evening.\"\n28687,2018/06/30,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n28688,2018/06/30,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n28689,2018/07/01,I did running on 2018/07/01.,I did running on 2018/07/01.\n28690,2018/07/01,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n28691,2018/07/01,\"I had lunch with Eva, Hazel. I ate a burger.\",\"I had lunch with Eva, Hazel. I ate a burger.\"\n28692,2018/07/01,\"I had dinner with Emily, Andrew, Kayden, Carter. I ate tacos.\",\"I had dinner with Emily, Andrew, Kayden, Carter. I ate tacos.\"\n28693,2018/07/01,\"I talked to Nora, Kinsley, Eva, Olivia for 20 minutes in the early evening.\",\"I talked to Nora, Kinsley, Eva, Olivia for 20 minutes in the early evening.\"\n28694,2018/07/01,I talked to Nora for 38 minutes in the morning.,I talked to Nora for 38 minutes in the morning.\n28695,2018/07/01,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n28696,2018/07/01,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n28697,2018/07/02,I did swimming on 2018/07/02.,I did swimming on 2018/07/02.\n28698,2018/07/02,\"I had oatmeal for breakfast with Avery, Benjamin\",\"I had oatmeal for breakfast with Avery, Benjamin\"\n28699,2018/07/02,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n28700,2018/07/02,\"I had sandwich for dinner with Andrew, Emily\",\"I had sandwich for dinner with Andrew, Emily\"\n28701,2018/07/02,\"I spent 8 talking to Hazel, Piper, Rylee, Nora on various topics in the late afternoon.\",\"I spent 8 talking to Hazel, Piper, Rylee, Nora on various topics in the late afternoon.\"\n28702,2018/07/02,\"I spent 45 talking to Rylee, Olivia, Piper, Layla on various topics in the late afternoon.\",\"I spent 45 talking to Rylee, Olivia, Piper, Layla on various topics in the late afternoon.\"\n28703,2018/07/02,\"I talked to Olivia, Eva, Piper, Nevaeh for 32 minutes in the early afternoon.\",\"I talked to Olivia, Eva, Piper, Nevaeh for 32 minutes in the early afternoon.\"\n28704,2018/07/02,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n28705,2018/07/02,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n28706,2018/07/03,I did hiking on 2018/07/03.,I did hiking on 2018/07/03.\n28707,2018/07/03,\"I had breakfast with Jackson, Avery, Benjamin. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Avery, Benjamin. I ate eggs, sausages, and bread.\"\n28708,2018/07/03,I prepare steak for lunch.,I prepare steak for lunch.\n28709,2018/07/03,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n28710,2018/07/03,\"I spent 18 talking to Avery, Eva, Olivia, Nora on various topics in the early evening.\",\"I spent 18 talking to Avery, Eva, Olivia, Nora on various topics in the early evening.\"\n28711,2018/07/03,I talked to Eva for 13 minutes in the early afternoon.,I talked to Eva for 13 minutes in the early afternoon.\n28712,2018/07/03,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n28713,2018/07/03,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n28714,2018/07/04,\"I bought some blackberries, guava, bananas, sports drinks, soda, orange juice, chocolate milk, toilet paper, facial wash, shaving cream, paper towel from the grocery store. I saw Claire, Lydia, Nevaeh, Piper, Eva at the grocery store.\",\"I bought some blackberries, guava, bananas, sports drinks, soda, orange juice, chocolate milk, toilet paper, facial wash, shaving cream, paper towel from the grocery store. I saw Claire, Lydia, Nevaeh, Piper, Eva at the grocery store.\"\n28715,2018/07/04,I did running on 2018/07/04.,I did running on 2018/07/04.\n28716,2018/07/04,\"I had breakfast with Jackson. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson. I ate eggs, sausages, and bread.\"\n28717,2018/07/04,\"I had sushi for lunch with Piper, Kinsley, Hazel, Claire, Nora, Layla, Eva, Avery, Lydia, Nevaeh, Piper\",\"I had sushi for lunch with Piper, Kinsley, Hazel, Claire, Nora, Layla, Eva, Avery, Lydia, Nevaeh, Piper\"\n28718,2018/07/04,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n28719,2018/07/04,I spent 51 talking to Claire on various topics in the morning.,I spent 51 talking to Claire on various topics in the morning.\n28720,2018/07/04,I spent 32 talking to Claire on various topics in the early evening.,I spent 32 talking to Claire on various topics in the early evening.\n28721,2018/07/04,\"I talked to Lydia, Avery, Piper, Olivia for 16 minutes in the late afternoon.\",\"I talked to Lydia, Avery, Piper, Olivia for 16 minutes in the late afternoon.\"\n28722,2018/07/04,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n28723,2018/07/04,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n28724,2018/07/05,I did swimming on 2018/07/05.,I did swimming on 2018/07/05.\n28725,2018/07/05,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n28726,2018/07/05,\"I had indian food for lunch with Avery, Jackson, Benjamin\",\"I had indian food for lunch with Avery, Jackson, Benjamin\"\n28727,2018/07/05,I had chinese food for dinner with Emily,I had chinese food for dinner with Emily\n28728,2018/07/05,I talked to Lydia for 45 minutes in the late afternoon.,I talked to Lydia for 45 minutes in the late afternoon.\n28729,2018/07/05,\"I spent 13 talking to Piper, Rylee, Layla, Olivia on various topics during lunch hours.\",\"I spent 13 talking to Piper, Rylee, Layla, Olivia on various topics during lunch hours.\"\n28730,2018/07/05,\"I talked to Kinsley, Eva, Piper for 43 minutes in the early evening.\",\"I talked to Kinsley, Eva, Piper for 43 minutes in the early evening.\"\n28731,2018/07/05,\"I spent 24 talking to Avery, Olivia, Nevaeh on various topics in the late afternoon.\",\"I spent 24 talking to Avery, Olivia, Nevaeh on various topics in the late afternoon.\"\n28732,2018/07/05,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n28733,2018/07/05,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n28734,2018/07/06,\"I bought some bananas, pears, orange juice, mineral water, coffee, pineapple juice, shaving cream, toothpaste, toothbrush from the grocery store. I saw Rylee, Layla, Nevaeh, Kinsley, Avery, Piper, Nora, Lydia at the grocery store.\",\"I bought some bananas, pears, orange juice, mineral water, coffee, pineapple juice, shaving cream, toothpaste, toothbrush from the grocery store. I saw Rylee, Layla, Nevaeh, Kinsley, Avery, Piper, Nora, Lydia at the grocery store.\"\n28735,2018/07/06,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n28736,2018/07/06,I ate tacos for lunch.,I ate tacos for lunch.\n28737,2018/07/06,I ate tacos for dinner.,I ate tacos for dinner.\n28738,2018/07/06,I spent 42 talking to Nora on various topics in the early evening.,I spent 42 talking to Nora on various topics in the early evening.\n28739,2018/07/06,\"I spent 30 talking to Avery, Rylee on various topics late in the evening.\",\"I spent 30 talking to Avery, Rylee on various topics late in the evening.\"\n28740,2018/07/06,\"I spent 54 talking to Lydia, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 54 talking to Lydia, Nevaeh, Piper on various topics in the early afternoon.\"\n28741,2018/07/06,\"I spent 37 talking to Hazel, Rylee, Lydia on various topics in the morning.\",\"I spent 37 talking to Hazel, Rylee, Lydia on various topics in the morning.\"\n28742,2018/07/06,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n28743,2018/07/06,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n28744,2018/07/07,I did hiking on 2018/07/07.,I did hiking on 2018/07/07.\n28745,2018/07/07,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n28746,2018/07/07,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n28747,2018/07/07,I had dinner. I ate steak.,I had dinner. I ate steak.\n28748,2018/07/07,\"I spent 19 talking to Layla, Nora on various topics in the early afternoon.\",\"I spent 19 talking to Layla, Nora on various topics in the early afternoon.\"\n28749,2018/07/07,\"I talked to Claire, Piper, Layla for 44 minutes late in the evening.\",\"I talked to Claire, Piper, Layla for 44 minutes late in the evening.\"\n28750,2018/07/07,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n28751,2018/07/07,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n28752,2018/07/08,I did hiking on 2018/07/08.,I did hiking on 2018/07/08.\n28753,2018/07/08,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n28754,2018/07/08,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n28755,2018/07/08,\"I had dinner with Olivia, Claire, Eva, Lydia, Layla, Nevaeh, Kinsley, Avery, Piper, Piper. I ate a burger.\",\"I had dinner with Olivia, Claire, Eva, Lydia, Layla, Nevaeh, Kinsley, Avery, Piper, Piper. I ate a burger.\"\n28756,2018/07/08,\"I spent 55 talking to Piper, Claire, Kinsley, Rylee on various topics in the late afternoon.\",\"I spent 55 talking to Piper, Claire, Kinsley, Rylee on various topics in the late afternoon.\"\n28757,2018/07/08,\"I spent 44 talking to Kinsley, Lydia on various topics during lunch hours.\",\"I spent 44 talking to Kinsley, Lydia on various topics during lunch hours.\"\n28758,2018/07/08,\"I talked to Kinsley, Lydia, Olivia, Eva for 26 minutes in the morning.\",\"I talked to Kinsley, Lydia, Olivia, Eva for 26 minutes in the morning.\"\n28759,2018/07/08,\"I talked to Claire, Nora for 35 minutes in the early afternoon.\",\"I talked to Claire, Nora for 35 minutes in the early afternoon.\"\n28760,2018/07/08,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n28761,2018/07/08,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n28762,2018/07/09,I did running on 2018/07/09.,I did running on 2018/07/09.\n28763,2018/07/09,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n28764,2018/07/09,\"I had steak for lunch with Lydia, Nora, Hazel, Piper, Nevaeh, Eva, Olivia\",\"I had steak for lunch with Lydia, Nora, Hazel, Piper, Nevaeh, Eva, Olivia\"\n28765,2018/07/09,\"I had dinner with Andrew, Kayden, Carter, Emily. I ate sushi.\",\"I had dinner with Andrew, Kayden, Carter, Emily. I ate sushi.\"\n28766,2018/07/09,\"I talked to Lydia, Rylee, Layla, Eva for 21 minutes in the early evening.\",\"I talked to Lydia, Rylee, Layla, Eva for 21 minutes in the early evening.\"\n28767,2018/07/09,\"I spent 50 talking to Kinsley, Claire on various topics in the late afternoon.\",\"I spent 50 talking to Kinsley, Claire on various topics in the late afternoon.\"\n28768,2018/07/09,\"I talked to Olivia, Piper, Eva, Claire for 19 minutes during lunch hours.\",\"I talked to Olivia, Piper, Eva, Claire for 19 minutes during lunch hours.\"\n28769,2018/07/09,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n28770,2018/07/09,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n28771,2018/07/10,\"I went grocery shopping. I bought some bananas, guava, blueberries, milk, and toothbrush, mouth wash, shaving cream\",\"I went grocery shopping. I bought some bananas, guava, blueberries, milk, and toothbrush, mouth wash, shaving cream\"\n28772,2018/07/10,I did HIIT on 2018/07/10.,I did HIIT on 2018/07/10.\n28773,2018/07/10,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n28774,2018/07/10,I ate indian food for lunch.,I ate indian food for lunch.\n28775,2018/07/10,I had a burger for dinner with Andrew,I had a burger for dinner with Andrew\n28776,2018/07/10,\"I spent 39 talking to Lydia, Olivia, Layla on various topics in the late afternoon.\",\"I spent 39 talking to Lydia, Olivia, Layla on various topics in the late afternoon.\"\n28777,2018/07/10,\"I talked to Eva, Rylee, Lydia for 5 minutes in the early afternoon.\",\"I talked to Eva, Rylee, Lydia for 5 minutes in the early afternoon.\"\n28778,2018/07/10,\"I talked to Hazel, Lydia, Kinsley for 44 minutes in the late afternoon.\",\"I talked to Hazel, Lydia, Kinsley for 44 minutes in the late afternoon.\"\n28779,2018/07/10,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n28780,2018/07/10,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n28781,2018/07/11,\"On 2018/07/11, I took Joseph on a date to a boba shop\",\"On 2018/07/11, I took Joseph on a date to a boba shop\"\n28782,2018/07/11,\"I had pancakes for breakfast with Carter, Kayden, Andrew, Emily\",\"I had pancakes for breakfast with Carter, Kayden, Andrew, Emily\"\n28783,2018/07/11,\"I had tacos for lunch with Avery, Jackson\",\"I had tacos for lunch with Avery, Jackson\"\n28784,2018/07/11,\"I had dinner with Carter, Andrew, Kayden, Emily. I ate indian food.\",\"I had dinner with Carter, Andrew, Kayden, Emily. I ate indian food.\"\n28785,2018/07/11,\"I spent 52 talking to Layla, Piper, Eva on various topics late in the evening.\",\"I spent 52 talking to Layla, Piper, Eva on various topics late in the evening.\"\n28786,2018/07/11,I spent 16 talking to Layla on various topics late in the evening.,I spent 16 talking to Layla on various topics late in the evening.\n28787,2018/07/11,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n28788,2018/07/11,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n28789,2018/07/12,I did running on 2018/07/12.,I did running on 2018/07/12.\n28790,2018/07/12,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n28791,2018/07/12,\"I had tacos for lunch with Kinsley, Claire, Hazel, Nora, Lydia, Rylee, Olivia, Avery, Eva, Nevaeh, Piper, Layla\",\"I had tacos for lunch with Kinsley, Claire, Hazel, Nora, Lydia, Rylee, Olivia, Avery, Eva, Nevaeh, Piper, Layla\"\n28792,2018/07/12,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n28793,2018/07/12,\"I talked to Eva, Nora, Avery, Piper for 43 minutes in the late afternoon.\",\"I talked to Eva, Nora, Avery, Piper for 43 minutes in the late afternoon.\"\n28794,2018/07/12,\"I spent 47 talking to Avery, Olivia on various topics in the early evening.\",\"I spent 47 talking to Avery, Olivia on various topics in the early evening.\"\n28795,2018/07/12,I spent 19 talking to Rylee on various topics in the early afternoon.,I spent 19 talking to Rylee on various topics in the early afternoon.\n28796,2018/07/12,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n28797,2018/07/12,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n28798,2018/07/13,I spent time learning a language on 2018/07/13 with Claire.,I spent time learning a language on 2018/07/13 with Claire.\n28799,2018/07/13,I ate cereals for breakfast.,I ate cereals for breakfast.\n28800,2018/07/13,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n28801,2018/07/13,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n28802,2018/07/13,\"I talked to Layla, Kinsley, Olivia, Nevaeh for 46 minutes in the early evening.\",\"I talked to Layla, Kinsley, Olivia, Nevaeh for 46 minutes in the early evening.\"\n28803,2018/07/13,\"I talked to Nevaeh, Claire, Lydia for 5 minutes during lunch hours.\",\"I talked to Nevaeh, Claire, Lydia for 5 minutes during lunch hours.\"\n28804,2018/07/13,\"I talked to Nora, Rylee, Eva, Nevaeh for 55 minutes in the early evening.\",\"I talked to Nora, Rylee, Eva, Nevaeh for 55 minutes in the early evening.\"\n28805,2018/07/13,\"I spent 31 talking to Avery, Piper on various topics during lunch hours.\",\"I spent 31 talking to Avery, Piper on various topics during lunch hours.\"\n28806,2018/07/13,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n28807,2018/07/13,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n28808,2018/07/14,\"On 2018/07/14, I took Anthony on a date to a boba shop\",\"On 2018/07/14, I took Anthony on a date to a boba shop\"\n28809,2018/07/14,\"I bought some apples, blueberries, sports drinks, shaving cream, facial wash, shampoo online.\",\"I bought some apples, blueberries, sports drinks, shaving cream, facial wash, shampoo online.\"\n28810,2018/07/14,I did running on 2018/07/14.,I did running on 2018/07/14.\n28811,2018/07/14,\"I had breakfast with Willow, Jackson, Benjamin, Avery. I ate oatmeal.\",\"I had breakfast with Willow, Jackson, Benjamin, Avery. I ate oatmeal.\"\n28812,2018/07/14,\"I had lunch with Kayden, Emily, Carter. I ate sushi.\",\"I had lunch with Kayden, Emily, Carter. I ate sushi.\"\n28813,2018/07/14,I ate indian food for dinner.,I ate indian food for dinner.\n28814,2018/07/14,I talked to Eva for 7 minutes in the morning.,I talked to Eva for 7 minutes in the morning.\n28815,2018/07/14,I spent 25 talking to Nevaeh on various topics in the morning.,I spent 25 talking to Nevaeh on various topics in the morning.\n28816,2018/07/14,\"I spent 15 talking to Piper, Olivia, Hazel on various topics in the early evening.\",\"I spent 15 talking to Piper, Olivia, Hazel on various topics in the early evening.\"\n28817,2018/07/14,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n28818,2018/07/14,I spent 29 minutes watching a tv series on TV today.,I spent 29 minutes watching a tv series on TV today.\n28819,2018/07/15,\"I had toast and cheese for breakfast with Avery, Jackson\",\"I had toast and cheese for breakfast with Avery, Jackson\"\n28820,2018/07/15,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n28821,2018/07/15,I prepare pasta for dinner.,I prepare pasta for dinner.\n28822,2018/07/15,\"I spent 36 talking to Lydia, Layla on various topics in the early evening.\",\"I spent 36 talking to Lydia, Layla on various topics in the early evening.\"\n28823,2018/07/15,\"I spent 6 talking to Kinsley, Hazel on various topics in the morning.\",\"I spent 6 talking to Kinsley, Hazel on various topics in the morning.\"\n28824,2018/07/15,\"I spent 13 talking to Layla, Eva, Rylee, Nora on various topics late in the evening.\",\"I spent 13 talking to Layla, Eva, Rylee, Nora on various topics late in the evening.\"\n28825,2018/07/15,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n28826,2018/07/15,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n28827,2018/07/16,I did biking on 2018/07/16.,I did biking on 2018/07/16.\n28828,2018/07/16,\"I had toast and cheese for breakfast with Claire, Rylee, Lydia, Layla, Eva, Nevaeh, Piper\",\"I had toast and cheese for breakfast with Claire, Rylee, Lydia, Layla, Eva, Nevaeh, Piper\"\n28829,2018/07/16,\"I had lunch with Willow, Benjamin. I ate a burger.\",\"I had lunch with Willow, Benjamin. I ate a burger.\"\n28830,2018/07/16,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n28831,2018/07/16,\"I talked to Lydia, Piper for 53 minutes in the early afternoon.\",\"I talked to Lydia, Piper for 53 minutes in the early afternoon.\"\n28832,2018/07/16,I talked to Layla for 35 minutes during lunch hours.,I talked to Layla for 35 minutes during lunch hours.\n28833,2018/07/16,I talked to Nora for 14 minutes in the early afternoon.,I talked to Nora for 14 minutes in the early afternoon.\n28834,2018/07/16,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n28835,2018/07/16,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n28836,2018/07/17,\"I had eggs, sausages, and bread for breakfast with Carter\",\"I had eggs, sausages, and bread for breakfast with Carter\"\n28837,2018/07/17,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n28838,2018/07/17,\"I had indian food for dinner with Avery, Willow, Benjamin, Jackson\",\"I had indian food for dinner with Avery, Willow, Benjamin, Jackson\"\n28839,2018/07/17,I spent 15 talking to Piper on various topics late in the evening.,I spent 15 talking to Piper on various topics late in the evening.\n28840,2018/07/17,\"I talked to Kinsley, Claire, Hazel for 32 minutes in the late afternoon.\",\"I talked to Kinsley, Claire, Hazel for 32 minutes in the late afternoon.\"\n28841,2018/07/17,\"I spent 30 talking to Avery, Nevaeh, Nora, Piper on various topics in the late afternoon.\",\"I spent 30 talking to Avery, Nevaeh, Nora, Piper on various topics in the late afternoon.\"\n28842,2018/07/17,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n28843,2018/07/17,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n28844,2018/07/18,I did hiking on 2018/07/18.,I did hiking on 2018/07/18.\n28845,2018/07/18,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n28846,2018/07/18,I prepare pasta for lunch.,I prepare pasta for lunch.\n28847,2018/07/18,I ate chinese food for dinner.,I ate chinese food for dinner.\n28848,2018/07/18,\"I spent 24 talking to Avery, Rylee, Kinsley, Nevaeh on various topics in the early afternoon.\",\"I spent 24 talking to Avery, Rylee, Kinsley, Nevaeh on various topics in the early afternoon.\"\n28849,2018/07/18,\"I spent 5 talking to Layla, Claire, Piper, Nora on various topics in the early afternoon.\",\"I spent 5 talking to Layla, Claire, Piper, Nora on various topics in the early afternoon.\"\n28850,2018/07/18,\"I talked to Layla, Piper, Lydia for 36 minutes in the early afternoon.\",\"I talked to Layla, Piper, Lydia for 36 minutes in the early afternoon.\"\n28851,2018/07/18,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n28852,2018/07/18,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n28853,2018/07/19,I did running on 2018/07/19.,I did running on 2018/07/19.\n28854,2018/07/19,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n28855,2018/07/19,\"I had fish and chips for lunch with Kayden, Andrew\",\"I had fish and chips for lunch with Kayden, Andrew\"\n28856,2018/07/19,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n28857,2018/07/19,I talked to Nevaeh for 26 minutes in the early afternoon.,I talked to Nevaeh for 26 minutes in the early afternoon.\n28858,2018/07/19,\"I spent 42 talking to Nora, Piper, Avery on various topics in the early evening.\",\"I spent 42 talking to Nora, Piper, Avery on various topics in the early evening.\"\n28859,2018/07/19,I talked to Avery for 49 minutes late in the evening.,I talked to Avery for 49 minutes late in the evening.\n28860,2018/07/19,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n28861,2018/07/19,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n28862,2018/07/20,\"I went grocery shopping. I bought some cherres, guava, bananas, chocolate milk, and facial wash, mouth wash, paper towel, shaving cream\",\"I went grocery shopping. I bought some cherres, guava, bananas, chocolate milk, and facial wash, mouth wash, paper towel, shaving cream\"\n28863,2018/07/20,I did running on 2018/07/20.,I did running on 2018/07/20.\n28864,2018/07/20,\"I had breakfast with Andrew, Kayden, Emily. I ate oatmeal.\",\"I had breakfast with Andrew, Kayden, Emily. I ate oatmeal.\"\n28865,2018/07/20,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n28866,2018/07/20,I ate chinese food for dinner.,I ate chinese food for dinner.\n28867,2018/07/20,I talked to Eva for 34 minutes in the late afternoon.,I talked to Eva for 34 minutes in the late afternoon.\n28868,2018/07/20,\"I talked to Layla, Piper for 25 minutes in the late afternoon.\",\"I talked to Layla, Piper for 25 minutes in the late afternoon.\"\n28869,2018/07/20,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n28870,2018/07/20,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n28871,2018/07/21,I did HIIT on 2018/07/21.,I did HIIT on 2018/07/21.\n28872,2018/07/21,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n28873,2018/07/21,\"I had fish and chips for lunch with Emily, Andrew\",\"I had fish and chips for lunch with Emily, Andrew\"\n28874,2018/07/21,\"I had dinner with Kayden, Andrew, Emily, Carter. I ate tacos.\",\"I had dinner with Kayden, Andrew, Emily, Carter. I ate tacos.\"\n28875,2018/07/21,\"I talked to Lydia, Kinsley, Layla, Piper for 13 minutes late in the evening.\",\"I talked to Lydia, Kinsley, Layla, Piper for 13 minutes late in the evening.\"\n28876,2018/07/21,\"I talked to Avery, Hazel, Olivia for 51 minutes in the morning.\",\"I talked to Avery, Hazel, Olivia for 51 minutes in the morning.\"\n28877,2018/07/21,\"I spent 8 talking to Piper, Claire, Olivia, Layla on various topics in the morning.\",\"I spent 8 talking to Piper, Claire, Olivia, Layla on various topics in the morning.\"\n28878,2018/07/21,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n28879,2018/07/21,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n28880,2018/07/22,I went on a date with Oliver on 2018/07/22 at a boba shop,I went on a date with Oliver on 2018/07/22 at a boba shop\n28881,2018/07/22,I did running on 2018/07/22.,I did running on 2018/07/22.\n28882,2018/07/22,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n28883,2018/07/22,I had lunch with Carter. I ate sandwich.,I had lunch with Carter. I ate sandwich.\n28884,2018/07/22,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n28885,2018/07/22,I talked to Avery for 32 minutes in the late afternoon.,I talked to Avery for 32 minutes in the late afternoon.\n28886,2018/07/22,\"I spent 23 talking to Nora, Layla, Olivia, Lydia on various topics in the morning.\",\"I spent 23 talking to Nora, Layla, Olivia, Lydia on various topics in the morning.\"\n28887,2018/07/22,\"I talked to Kinsley, Nevaeh, Hazel for 34 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh, Hazel for 34 minutes late in the evening.\"\n28888,2018/07/22,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n28889,2018/07/22,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n28890,2018/07/23,\"I bought some apricots, pears, mango juice, tea, sports drinks, apple juice, toothbrush online.\",\"I bought some apricots, pears, mango juice, tea, sports drinks, apple juice, toothbrush online.\"\n28891,2018/07/23,I did running on 2018/07/23.,I did running on 2018/07/23.\n28892,2018/07/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n28893,2018/07/23,I ate sandwich for lunch.,I ate sandwich for lunch.\n28894,2018/07/23,I prepare indian food for dinner.,I prepare indian food for dinner.\n28895,2018/07/23,\"I spent 10 talking to Nora, Eva, Rylee on various topics late in the evening.\",\"I spent 10 talking to Nora, Eva, Rylee on various topics late in the evening.\"\n28896,2018/07/23,\"I spent 21 talking to Rylee, Olivia on various topics during lunch hours.\",\"I spent 21 talking to Rylee, Olivia on various topics during lunch hours.\"\n28897,2018/07/23,\"I talked to Avery, Hazel, Olivia for 12 minutes in the late afternoon.\",\"I talked to Avery, Hazel, Olivia for 12 minutes in the late afternoon.\"\n28898,2018/07/23,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n28899,2018/07/23,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n28900,2018/07/24,I did running on 2018/07/24.,I did running on 2018/07/24.\n28901,2018/07/24,\"I had peanut-butter-jam for breakfast with Carter, Emily, Kayden\",\"I had peanut-butter-jam for breakfast with Carter, Emily, Kayden\"\n28902,2018/07/24,I prepare steak for lunch.,I prepare steak for lunch.\n28903,2018/07/24,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n28904,2018/07/24,I talked to Eva for 55 minutes during lunch hours.,I talked to Eva for 55 minutes during lunch hours.\n28905,2018/07/24,\"I spent 7 talking to Nevaeh, Kinsley, Piper on various topics during lunch hours.\",\"I spent 7 talking to Nevaeh, Kinsley, Piper on various topics during lunch hours.\"\n28906,2018/07/24,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n28907,2018/07/24,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n28908,2018/07/25,\"On 2018/07/25, I took David on a date to a park\",\"On 2018/07/25, I took David on a date to a park\"\n28909,2018/07/25,I did hiking on 2018/07/25.,I did hiking on 2018/07/25.\n28910,2018/07/25,I ate cereals for breakfast.,I ate cereals for breakfast.\n28911,2018/07/25,I prepare indian food for lunch.,I prepare indian food for lunch.\n28912,2018/07/25,I ate pasta for dinner.,I ate pasta for dinner.\n28913,2018/07/25,\"I talked to Eva, Claire, Nevaeh for 5 minutes in the early evening.\",\"I talked to Eva, Claire, Nevaeh for 5 minutes in the early evening.\"\n28914,2018/07/25,\"I talked to Piper, Lydia for 55 minutes late in the evening.\",\"I talked to Piper, Lydia for 55 minutes late in the evening.\"\n28915,2018/07/25,\"I spent 49 talking to Claire, Rylee, Hazel, Piper on various topics in the early afternoon.\",\"I spent 49 talking to Claire, Rylee, Hazel, Piper on various topics in the early afternoon.\"\n28916,2018/07/25,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n28917,2018/07/25,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n28918,2018/07/26,\"I went grocery shopping. I bought some pears, chocolate milk, orange juice, guava juice, and mouth wash, toilet paper\",\"I went grocery shopping. I bought some pears, chocolate milk, orange juice, guava juice, and mouth wash, toilet paper\"\n28919,2018/07/26,I did weight lifting on 2018/07/26.,I did weight lifting on 2018/07/26.\n28920,2018/07/26,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n28921,2018/07/26,\"I had lunch with Nevaeh, Avery, Kinsley, Eva, Piper, Nora, Lydia. I ate fish and chips.\",\"I had lunch with Nevaeh, Avery, Kinsley, Eva, Piper, Nora, Lydia. I ate fish and chips.\"\n28922,2018/07/26,\"I had a burger for dinner with Andrew, Emily, Kayden\",\"I had a burger for dinner with Andrew, Emily, Kayden\"\n28923,2018/07/26,\"I spent 12 talking to Hazel, Eva on various topics late in the evening.\",\"I spent 12 talking to Hazel, Eva on various topics late in the evening.\"\n28924,2018/07/26,I spent 7 talking to Rylee on various topics late in the evening.,I spent 7 talking to Rylee on various topics late in the evening.\n28925,2018/07/26,\"I spent 24 talking to Eva, Avery, Nora, Hazel on various topics late in the evening.\",\"I spent 24 talking to Eva, Avery, Nora, Hazel on various topics late in the evening.\"\n28926,2018/07/26,\"I talked to Lydia, Layla for 22 minutes in the early evening.\",\"I talked to Lydia, Layla for 22 minutes in the early evening.\"\n28927,2018/07/26,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n28928,2018/07/26,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n28929,2018/07/27,I did HIIT on 2018/07/27.,I did HIIT on 2018/07/27.\n28930,2018/07/27,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n28931,2018/07/27,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n28932,2018/07/27,I had dinner with Kayden. I ate sushi.,I had dinner with Kayden. I ate sushi.\n28933,2018/07/27,\"I spent 52 talking to Rylee, Piper on various topics in the morning.\",\"I spent 52 talking to Rylee, Piper on various topics in the morning.\"\n28934,2018/07/27,\"I talked to Piper, Nora, Hazel for 53 minutes in the late afternoon.\",\"I talked to Piper, Nora, Hazel for 53 minutes in the late afternoon.\"\n28935,2018/07/27,\"I spent 22 talking to Olivia, Nevaeh, Kinsley, Lydia on various topics during lunch hours.\",\"I spent 22 talking to Olivia, Nevaeh, Kinsley, Lydia on various topics during lunch hours.\"\n28936,2018/07/27,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n28937,2018/07/27,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n28938,2018/07/28,I did biking on 2018/07/28.,I did biking on 2018/07/28.\n28939,2018/07/28,\"I had peanut-butter-jam for breakfast with Avery, Layla, Piper, Claire, Eva\",\"I had peanut-butter-jam for breakfast with Avery, Layla, Piper, Claire, Eva\"\n28940,2018/07/28,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n28941,2018/07/28,\"I had dinner with Nora, Nevaeh, Avery, Claire, Eva, Piper, Piper, Lydia, Olivia, Hazel, Layla, Kinsley, Rylee. I ate indian food.\",\"I had dinner with Nora, Nevaeh, Avery, Claire, Eva, Piper, Piper, Lydia, Olivia, Hazel, Layla, Kinsley, Rylee. I ate indian food.\"\n28942,2018/07/28,\"I talked to Olivia, Rylee, Layla, Hazel for 37 minutes in the early afternoon.\",\"I talked to Olivia, Rylee, Layla, Hazel for 37 minutes in the early afternoon.\"\n28943,2018/07/28,\"I talked to Claire, Piper, Lydia for 21 minutes in the early evening.\",\"I talked to Claire, Piper, Lydia for 21 minutes in the early evening.\"\n28944,2018/07/28,\"I spent 20 talking to Nevaeh, Rylee, Piper on various topics late in the evening.\",\"I spent 20 talking to Nevaeh, Rylee, Piper on various topics late in the evening.\"\n28945,2018/07/28,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n28946,2018/07/28,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n28947,2018/07/29,\"I spent time meditation on 2018/07/29 with Emily, Andrew, Kayden.\",\"I spent time meditation on 2018/07/29 with Emily, Andrew, Kayden.\"\n28948,2018/07/29,I did biking on 2018/07/29.,I did biking on 2018/07/29.\n28949,2018/07/29,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n28950,2018/07/29,I prepare indian food for lunch.,I prepare indian food for lunch.\n28951,2018/07/29,I prepare indian food for dinner.,I prepare indian food for dinner.\n28952,2018/07/29,\"I spent 22 talking to Nevaeh, Avery on various topics in the early afternoon.\",\"I spent 22 talking to Nevaeh, Avery on various topics in the early afternoon.\"\n28953,2018/07/29,I spent 25 talking to Kinsley on various topics during lunch hours.,I spent 25 talking to Kinsley on various topics during lunch hours.\n28954,2018/07/29,\"I talked to Hazel, Nevaeh, Nora, Piper for 25 minutes in the early afternoon.\",\"I talked to Hazel, Nevaeh, Nora, Piper for 25 minutes in the early afternoon.\"\n28955,2018/07/29,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n28956,2018/07/29,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n28957,2018/07/30,\"On 2018/07/30, I took Cora on a date to a park\",\"On 2018/07/30, I took Cora on a date to a park\"\n28958,2018/07/30,\"I went grocery shopping with Jackson, Avery, Willow, Benjamin. I bought some watermelons, apricots, blueberries, pineapples, guava juice, soda, and toothpaste, paper towel, conditioner\",\"I went grocery shopping with Jackson, Avery, Willow, Benjamin. I bought some watermelons, apricots, blueberries, pineapples, guava juice, soda, and toothpaste, paper towel, conditioner\"\n28959,2018/07/30,I did hiking on 2018/07/30.,I did hiking on 2018/07/30.\n28960,2018/07/30,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n28961,2018/07/30,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n28962,2018/07/30,\"I had dinner with Carter, Kayden. I ate a burger.\",\"I had dinner with Carter, Kayden. I ate a burger.\"\n28963,2018/07/30,\"I spent 48 talking to Olivia, Hazel, Nevaeh on various topics late in the evening.\",\"I spent 48 talking to Olivia, Hazel, Nevaeh on various topics late in the evening.\"\n28964,2018/07/30,\"I spent 30 talking to Kinsley, Rylee, Hazel, Nevaeh on various topics in the morning.\",\"I spent 30 talking to Kinsley, Rylee, Hazel, Nevaeh on various topics in the morning.\"\n28965,2018/07/30,I spent 17 talking to Nora on various topics late in the evening.,I spent 17 talking to Nora on various topics late in the evening.\n28966,2018/07/30,\"I talked to Piper, Nevaeh for 28 minutes in the early evening.\",\"I talked to Piper, Nevaeh for 28 minutes in the early evening.\"\n28967,2018/07/30,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n28968,2018/07/30,I watched a documentary for 41 minutes on TV today.,I watched a documentary for 41 minutes on TV today.\n28969,2018/07/31,I did hiking on 2018/07/31.,I did hiking on 2018/07/31.\n28970,2018/07/31,I ate cereals for breakfast.,I ate cereals for breakfast.\n28971,2018/07/31,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n28972,2018/07/31,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n28973,2018/07/31,\"I talked to Claire, Piper, Eva, Kinsley for 41 minutes in the early evening.\",\"I talked to Claire, Piper, Eva, Kinsley for 41 minutes in the early evening.\"\n28974,2018/07/31,\"I talked to Claire, Eva, Olivia, Kinsley for 52 minutes in the late afternoon.\",\"I talked to Claire, Eva, Olivia, Kinsley for 52 minutes in the late afternoon.\"\n28975,2018/07/31,\"I talked to Nevaeh, Rylee, Lydia for 43 minutes late in the evening.\",\"I talked to Nevaeh, Rylee, Lydia for 43 minutes late in the evening.\"\n28976,2018/07/31,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n28977,2018/07/31,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n28978,2018/08/01,I spent time meditation on 2018/08/01 with Nora.,I spent time meditation on 2018/08/01 with Nora.\n28979,2018/08/01,I did weight lifting on 2018/08/01.,I did weight lifting on 2018/08/01.\n28980,2018/08/01,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n28981,2018/08/01,\"I had lunch with Kayden, Emily, Andrew. I ate fish and chips.\",\"I had lunch with Kayden, Emily, Andrew. I ate fish and chips.\"\n28982,2018/08/01,\"I had sandwich for dinner with Carter, Kayden, Andrew, Emily\",\"I had sandwich for dinner with Carter, Kayden, Andrew, Emily\"\n28983,2018/08/01,I spent 32 talking to Lydia on various topics late in the evening.,I spent 32 talking to Lydia on various topics late in the evening.\n28984,2018/08/01,\"I talked to Hazel, Piper, Piper, Nevaeh for 47 minutes during lunch hours.\",\"I talked to Hazel, Piper, Piper, Nevaeh for 47 minutes during lunch hours.\"\n28985,2018/08/01,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n28986,2018/08/01,I spent 37 minutes watching a tv series on TV today.,I spent 37 minutes watching a tv series on TV today.\n28987,2018/08/02,I went on a date with Sadie on 2018/08/02 at a restaurant,I went on a date with Sadie on 2018/08/02 at a restaurant\n28988,2018/08/02,I really enjoyed meditation on 2018/08/02,I really enjoyed meditation on 2018/08/02\n28989,2018/08/02,I did running on 2018/08/02.,I did running on 2018/08/02.\n28990,2018/08/02,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n28991,2018/08/02,I ate sushi for lunch.,I ate sushi for lunch.\n28992,2018/08/02,I prepare tacos for dinner.,I prepare tacos for dinner.\n28993,2018/08/02,\"I talked to Rylee, Kinsley for 22 minutes late in the evening.\",\"I talked to Rylee, Kinsley for 22 minutes late in the evening.\"\n28994,2018/08/02,\"I talked to Rylee, Piper for 16 minutes in the early afternoon.\",\"I talked to Rylee, Piper for 16 minutes in the early afternoon.\"\n28995,2018/08/02,I spent 20 talking to Nora on various topics in the late afternoon.,I spent 20 talking to Nora on various topics in the late afternoon.\n28996,2018/08/02,\"I spent 6 talking to Layla, Hazel on various topics late in the evening.\",\"I spent 6 talking to Layla, Hazel on various topics late in the evening.\"\n28997,2018/08/02,I spent 27 minutes on social media today.,I spent 27 minutes on social media today.\n28998,2018/08/02,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n28999,2018/08/03,I did HIIT on 2018/08/03.,I did HIIT on 2018/08/03.\n29000,2018/08/03,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n29001,2018/08/03,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n29002,2018/08/03,\"I had dinner with Andrew, Carter, Kayden. I ate tacos.\",\"I had dinner with Andrew, Carter, Kayden. I ate tacos.\"\n29003,2018/08/03,\"I spent 33 talking to Nevaeh, Claire, Kinsley on various topics during lunch hours.\",\"I spent 33 talking to Nevaeh, Claire, Kinsley on various topics during lunch hours.\"\n29004,2018/08/03,I talked to Rylee for 38 minutes in the late afternoon.,I talked to Rylee for 38 minutes in the late afternoon.\n29005,2018/08/03,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n29006,2018/08/03,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n29007,2018/08/04,I did hiking on 2018/08/04.,I did hiking on 2018/08/04.\n29008,2018/08/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n29009,2018/08/04,\"I had steak for lunch with Emily, Carter\",\"I had steak for lunch with Emily, Carter\"\n29010,2018/08/04,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n29011,2018/08/04,\"I talked to Piper, Nora, Rylee, Layla for 25 minutes in the late afternoon.\",\"I talked to Piper, Nora, Rylee, Layla for 25 minutes in the late afternoon.\"\n29012,2018/08/04,I talked to Claire for 6 minutes in the morning.,I talked to Claire for 6 minutes in the morning.\n29013,2018/08/04,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n29014,2018/08/04,I spent 36 minutes watching a documentary on TV today.,I spent 36 minutes watching a documentary on TV today.\n29015,2018/08/05,\"I went grocery shopping. I bought some clementines, strawberries, apricots, blackberries, tea, and toothbrush\",\"I went grocery shopping. I bought some clementines, strawberries, apricots, blackberries, tea, and toothbrush\"\n29016,2018/08/05,I did weight lifting on 2018/08/05.,I did weight lifting on 2018/08/05.\n29017,2018/08/05,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n29018,2018/08/05,I ate pasta for lunch.,I ate pasta for lunch.\n29019,2018/08/05,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n29020,2018/08/05,\"I talked to Eva, Kinsley, Layla, Nevaeh for 52 minutes in the morning.\",\"I talked to Eva, Kinsley, Layla, Nevaeh for 52 minutes in the morning.\"\n29021,2018/08/05,I spent 35 talking to Claire on various topics in the late afternoon.,I spent 35 talking to Claire on various topics in the late afternoon.\n29022,2018/08/05,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n29023,2018/08/05,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n29024,2018/08/06,\"I had breakfast with Hazel, Kinsley, Piper, Piper, Avery, Layla, Claire. I ate oatmeal.\",\"I had breakfast with Hazel, Kinsley, Piper, Piper, Avery, Layla, Claire. I ate oatmeal.\"\n29025,2018/08/06,\"I had lunch with Lydia, Layla, Nora, Hazel, Avery, Nevaeh, Kinsley, Piper, Piper, Rylee. I ate fish and chips.\",\"I had lunch with Lydia, Layla, Nora, Hazel, Avery, Nevaeh, Kinsley, Piper, Piper, Rylee. I ate fish and chips.\"\n29026,2018/08/06,\"I had a burger for dinner with Andrew, Carter\",\"I had a burger for dinner with Andrew, Carter\"\n29027,2018/08/06,\"I spent 42 talking to Layla, Eva, Claire, Piper on various topics in the late afternoon.\",\"I spent 42 talking to Layla, Eva, Claire, Piper on various topics in the late afternoon.\"\n29028,2018/08/06,I spent 45 talking to Olivia on various topics late in the evening.,I spent 45 talking to Olivia on various topics late in the evening.\n29029,2018/08/06,I talked to Avery for 5 minutes in the late afternoon.,I talked to Avery for 5 minutes in the late afternoon.\n29030,2018/08/06,\"I spent 30 talking to Nora, Olivia, Claire, Lydia on various topics in the late afternoon.\",\"I spent 30 talking to Nora, Olivia, Claire, Lydia on various topics in the late afternoon.\"\n29031,2018/08/06,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n29032,2018/08/06,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n29033,2018/08/07,I went on a date with Delilah on 2018/08/07 at a restaurant,I went on a date with Delilah on 2018/08/07 at a restaurant\n29034,2018/08/07,I did biking on 2018/08/07.,I did biking on 2018/08/07.\n29035,2018/08/07,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n29036,2018/08/07,\"I had steak for lunch with Benjamin, Willow, Avery\",\"I had steak for lunch with Benjamin, Willow, Avery\"\n29037,2018/08/07,I had dinner. I ate steak.,I had dinner. I ate steak.\n29038,2018/08/07,I talked to Layla for 48 minutes in the early afternoon.,I talked to Layla for 48 minutes in the early afternoon.\n29039,2018/08/07,I spent 53 talking to Nora on various topics in the early evening.,I spent 53 talking to Nora on various topics in the early evening.\n29040,2018/08/07,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n29041,2018/08/07,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n29042,2018/08/08,I spent some time meditation on 2018/08/08.,I spent some time meditation on 2018/08/08.\n29043,2018/08/08,\"I went grocery shopping. I bought some blueberries, tea, coffee, guava juice, and paper towel, mouthwash, toothpaste, toothbrush\",\"I went grocery shopping. I bought some blueberries, tea, coffee, guava juice, and paper towel, mouthwash, toothpaste, toothbrush\"\n29044,2018/08/08,I did weight lifting on 2018/08/08.,I did weight lifting on 2018/08/08.\n29045,2018/08/08,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n29046,2018/08/08,\"I had lunch with Lydia, Claire, Eva, Hazel, Nevaeh, Piper, Piper, Avery, Rylee, Layla, Olivia. I ate sushi.\",\"I had lunch with Lydia, Claire, Eva, Hazel, Nevaeh, Piper, Piper, Avery, Rylee, Layla, Olivia. I ate sushi.\"\n29047,2018/08/08,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n29048,2018/08/08,\"I talked to Avery, Rylee for 33 minutes during lunch hours.\",\"I talked to Avery, Rylee for 33 minutes during lunch hours.\"\n29049,2018/08/08,\"I spent 39 talking to Claire, Layla on various topics in the morning.\",\"I spent 39 talking to Claire, Layla on various topics in the morning.\"\n29050,2018/08/08,\"I talked to Avery, Piper for 48 minutes during lunch hours.\",\"I talked to Avery, Piper for 48 minutes during lunch hours.\"\n29051,2018/08/08,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n29052,2018/08/08,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n29053,2018/08/09,\"I had breakfast with Kayden, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Emily. I ate peanut-butter-jam.\"\n29054,2018/08/09,\"I had steak for lunch with Olivia, Kinsley, Piper, Layla, Eva, Nevaeh, Rylee, Nora, Hazel, Piper, Lydia, Claire, Avery\",\"I had steak for lunch with Olivia, Kinsley, Piper, Layla, Eva, Nevaeh, Rylee, Nora, Hazel, Piper, Lydia, Claire, Avery\"\n29055,2018/08/09,I prepare a burger for dinner.,I prepare a burger for dinner.\n29056,2018/08/09,\"I talked to Piper, Rylee, Eva for 38 minutes in the early evening.\",\"I talked to Piper, Rylee, Eva for 38 minutes in the early evening.\"\n29057,2018/08/09,\"I spent 14 talking to Avery, Nora, Layla, Piper on various topics in the early afternoon.\",\"I spent 14 talking to Avery, Nora, Layla, Piper on various topics in the early afternoon.\"\n29058,2018/08/09,\"I spent 19 talking to Hazel, Avery, Claire, Piper on various topics in the early evening.\",\"I spent 19 talking to Hazel, Avery, Claire, Piper on various topics in the early evening.\"\n29059,2018/08/09,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n29060,2018/08/09,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n29061,2018/08/10,\"I bought some bananas, peaches, coffee, orange juice, mouth wash, mouthwash, shampoo, conditioner online.\",\"I bought some bananas, peaches, coffee, orange juice, mouth wash, mouthwash, shampoo, conditioner online.\"\n29062,2018/08/10,I did hiking on 2018/08/10.,I did hiking on 2018/08/10.\n29063,2018/08/10,\"I had breakfast with Piper, Avery, Lydia, Kinsley, Nevaeh, Olivia, Hazel, Eva, Rylee, Claire, Nora. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Avery, Lydia, Kinsley, Nevaeh, Olivia, Hazel, Eva, Rylee, Claire, Nora. I ate eggs, sausages, and bread.\"\n29064,2018/08/10,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n29065,2018/08/10,\"I had dinner with Lydia, Piper, Eva, Nora, Nevaeh, Claire, Layla, Kinsley, Piper, Rylee. I ate indian food.\",\"I had dinner with Lydia, Piper, Eva, Nora, Nevaeh, Claire, Layla, Kinsley, Piper, Rylee. I ate indian food.\"\n29066,2018/08/10,I talked to Rylee for 7 minutes late in the evening.,I talked to Rylee for 7 minutes late in the evening.\n29067,2018/08/10,\"I spent 19 talking to Olivia, Kinsley, Hazel, Avery on various topics in the early afternoon.\",\"I spent 19 talking to Olivia, Kinsley, Hazel, Avery on various topics in the early afternoon.\"\n29068,2018/08/10,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n29069,2018/08/10,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n29070,2018/08/11,I did swimming on 2018/08/11.,I did swimming on 2018/08/11.\n29071,2018/08/11,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n29072,2018/08/11,\"I had lunch with Emily, Carter. I ate sandwich.\",\"I had lunch with Emily, Carter. I ate sandwich.\"\n29073,2018/08/11,I had dinner with Andrew. I ate fish and chips.,I had dinner with Andrew. I ate fish and chips.\n29074,2018/08/11,\"I talked to Hazel, Kinsley, Claire for 22 minutes during lunch hours.\",\"I talked to Hazel, Kinsley, Claire for 22 minutes during lunch hours.\"\n29075,2018/08/11,I spent 27 talking to Claire on various topics in the early afternoon.,I spent 27 talking to Claire on various topics in the early afternoon.\n29076,2018/08/11,\"I spent 45 talking to Rylee, Eva on various topics in the late afternoon.\",\"I spent 45 talking to Rylee, Eva on various topics in the late afternoon.\"\n29077,2018/08/11,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n29078,2018/08/11,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n29079,2018/08/12,I went on a date with Easton on 2018/08/12 at a restaurant,I went on a date with Easton on 2018/08/12 at a restaurant\n29080,2018/08/12,I did weight lifting on 2018/08/12.,I did weight lifting on 2018/08/12.\n29081,2018/08/12,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n29082,2018/08/12,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n29083,2018/08/12,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n29084,2018/08/12,\"I spent 15 talking to Nora, Rylee, Piper on various topics in the early afternoon.\",\"I spent 15 talking to Nora, Rylee, Piper on various topics in the early afternoon.\"\n29085,2018/08/12,I talked to Nora for 16 minutes in the early afternoon.,I talked to Nora for 16 minutes in the early afternoon.\n29086,2018/08/12,\"I talked to Hazel, Claire, Rylee, Olivia for 25 minutes in the early evening.\",\"I talked to Hazel, Claire, Rylee, Olivia for 25 minutes in the early evening.\"\n29087,2018/08/12,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n29088,2018/08/12,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n29089,2018/08/13,I did swimming on 2018/08/13.,I did swimming on 2018/08/13.\n29090,2018/08/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n29091,2018/08/13,I ate sandwich for lunch.,I ate sandwich for lunch.\n29092,2018/08/13,I prepare steak for dinner.,I prepare steak for dinner.\n29093,2018/08/13,I talked to Eva for 45 minutes in the early afternoon.,I talked to Eva for 45 minutes in the early afternoon.\n29094,2018/08/13,\"I talked to Piper, Rylee for 7 minutes during lunch hours.\",\"I talked to Piper, Rylee for 7 minutes during lunch hours.\"\n29095,2018/08/13,I talked to Layla for 55 minutes in the early evening.,I talked to Layla for 55 minutes in the early evening.\n29096,2018/08/13,I talked to Claire for 15 minutes in the late afternoon.,I talked to Claire for 15 minutes in the late afternoon.\n29097,2018/08/13,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n29098,2018/08/13,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n29099,2018/08/14,I did hiking on 2018/08/14.,I did hiking on 2018/08/14.\n29100,2018/08/14,\"I had cereals for breakfast with Willow, Jackson\",\"I had cereals for breakfast with Willow, Jackson\"\n29101,2018/08/14,I had lunch with Kayden. I ate fish and chips.,I had lunch with Kayden. I ate fish and chips.\n29102,2018/08/14,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n29103,2018/08/14,\"I talked to Kinsley, Rylee, Olivia for 17 minutes late in the evening.\",\"I talked to Kinsley, Rylee, Olivia for 17 minutes late in the evening.\"\n29104,2018/08/14,\"I spent 55 talking to Hazel, Rylee on various topics in the early afternoon.\",\"I spent 55 talking to Hazel, Rylee on various topics in the early afternoon.\"\n29105,2018/08/14,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n29106,2018/08/14,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n29107,2018/08/15,\"On 2018/08/15, I took Camila on a date to a park\",\"On 2018/08/15, I took Camila on a date to a park\"\n29108,2018/08/15,\"I bought some pineapples, raspberries, peaches, tea, mineral water, mango juice, sports drinks, toothpaste online.\",\"I bought some pineapples, raspberries, peaches, tea, mineral water, mango juice, sports drinks, toothpaste online.\"\n29109,2018/08/15,I did running on 2018/08/15.,I did running on 2018/08/15.\n29110,2018/08/15,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n29111,2018/08/15,\"I had chinese food for lunch with Olivia, Kinsley, Nevaeh, Layla, Claire, Piper, Piper, Nora, Avery, Lydia, Rylee, Eva\",\"I had chinese food for lunch with Olivia, Kinsley, Nevaeh, Layla, Claire, Piper, Piper, Nora, Avery, Lydia, Rylee, Eva\"\n29112,2018/08/15,I had sushi for dinner with Emily,I had sushi for dinner with Emily\n29113,2018/08/15,\"I spent 33 talking to Olivia, Eva, Avery on various topics in the late afternoon.\",\"I spent 33 talking to Olivia, Eva, Avery on various topics in the late afternoon.\"\n29114,2018/08/15,\"I talked to Hazel, Olivia, Claire, Layla for 20 minutes during lunch hours.\",\"I talked to Hazel, Olivia, Claire, Layla for 20 minutes during lunch hours.\"\n29115,2018/08/15,\"I spent 24 talking to Piper, Nora, Kinsley, Claire on various topics in the morning.\",\"I spent 24 talking to Piper, Nora, Kinsley, Claire on various topics in the morning.\"\n29116,2018/08/15,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n29117,2018/08/15,I watched a documentary for 46 minutes on TV today.,I watched a documentary for 46 minutes on TV today.\n29118,2018/08/16,I did swimming on 2018/08/16.,I did swimming on 2018/08/16.\n29119,2018/08/16,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n29120,2018/08/16,\"I had lunch with Jackson, Willow. I ate fish and chips.\",\"I had lunch with Jackson, Willow. I ate fish and chips.\"\n29121,2018/08/16,I had dinner with Andrew. I ate sandwich.,I had dinner with Andrew. I ate sandwich.\n29122,2018/08/16,I spent 12 talking to Olivia on various topics late in the evening.,I spent 12 talking to Olivia on various topics late in the evening.\n29123,2018/08/16,\"I talked to Lydia, Piper, Hazel, Rylee for 50 minutes late in the evening.\",\"I talked to Lydia, Piper, Hazel, Rylee for 50 minutes late in the evening.\"\n29124,2018/08/16,I talked to Hazel for 28 minutes in the late afternoon.,I talked to Hazel for 28 minutes in the late afternoon.\n29125,2018/08/16,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n29126,2018/08/16,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n29127,2018/08/17,\"On 2018/08/17, I took Luna on a date to a boba shop\",\"On 2018/08/17, I took Luna on a date to a boba shop\"\n29128,2018/08/17,I spent some time working out on 2018/08/17.,I spent some time working out on 2018/08/17.\n29129,2018/08/17,I did running on 2018/08/17.,I did running on 2018/08/17.\n29130,2018/08/17,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n29131,2018/08/17,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n29132,2018/08/17,I ate a burger for dinner.,I ate a burger for dinner.\n29133,2018/08/17,\"I talked to Piper, Avery, Piper, Rylee for 19 minutes in the morning.\",\"I talked to Piper, Avery, Piper, Rylee for 19 minutes in the morning.\"\n29134,2018/08/17,\"I spent 36 talking to Lydia, Piper on various topics in the early evening.\",\"I spent 36 talking to Lydia, Piper on various topics in the early evening.\"\n29135,2018/08/17,\"I talked to Nora, Lydia, Olivia for 19 minutes in the early evening.\",\"I talked to Nora, Lydia, Olivia for 19 minutes in the early evening.\"\n29136,2018/08/17,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n29137,2018/08/17,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n29138,2018/08/18,I did HIIT on 2018/08/18.,I did HIIT on 2018/08/18.\n29139,2018/08/18,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n29140,2018/08/18,\"I had a burger for lunch with Kayden, Emily, Andrew, Carter\",\"I had a burger for lunch with Kayden, Emily, Andrew, Carter\"\n29141,2018/08/18,\"I had chinese food for dinner with Avery, Claire, Nevaeh\",\"I had chinese food for dinner with Avery, Claire, Nevaeh\"\n29142,2018/08/18,\"I talked to Piper, Claire, Nora for 43 minutes in the early afternoon.\",\"I talked to Piper, Claire, Nora for 43 minutes in the early afternoon.\"\n29143,2018/08/18,\"I spent 46 talking to Piper, Nevaeh, Hazel on various topics in the late afternoon.\",\"I spent 46 talking to Piper, Nevaeh, Hazel on various topics in the late afternoon.\"\n29144,2018/08/18,\"I spent 18 talking to Rylee, Avery, Nevaeh on various topics in the early afternoon.\",\"I spent 18 talking to Rylee, Avery, Nevaeh on various topics in the early afternoon.\"\n29145,2018/08/18,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n29146,2018/08/18,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n29147,2018/08/19,I did weight lifting on 2018/08/19.,I did weight lifting on 2018/08/19.\n29148,2018/08/19,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n29149,2018/08/19,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n29150,2018/08/19,I prepare a burger for dinner.,I prepare a burger for dinner.\n29151,2018/08/19,\"I talked to Layla, Hazel, Piper for 13 minutes late in the evening.\",\"I talked to Layla, Hazel, Piper for 13 minutes late in the evening.\"\n29152,2018/08/19,\"I spent 49 talking to Eva, Layla, Nora on various topics late in the evening.\",\"I spent 49 talking to Eva, Layla, Nora on various topics late in the evening.\"\n29153,2018/08/19,\"I spent 34 talking to Lydia, Piper, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 34 talking to Lydia, Piper, Nevaeh, Piper on various topics in the early afternoon.\"\n29154,2018/08/19,I talked to Rylee for 21 minutes in the early afternoon.,I talked to Rylee for 21 minutes in the early afternoon.\n29155,2018/08/19,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n29156,2018/08/19,I watched a documentary for 48 minutes on TV today.,I watched a documentary for 48 minutes on TV today.\n29157,2018/08/20,I did swimming on 2018/08/20.,I did swimming on 2018/08/20.\n29158,2018/08/20,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n29159,2018/08/20,I ate sushi for lunch.,I ate sushi for lunch.\n29160,2018/08/20,I prepare a burger for dinner.,I prepare a burger for dinner.\n29161,2018/08/20,\"I talked to Claire, Lydia for 15 minutes in the early afternoon.\",\"I talked to Claire, Lydia for 15 minutes in the early afternoon.\"\n29162,2018/08/20,\"I talked to Rylee, Layla, Piper for 29 minutes late in the evening.\",\"I talked to Rylee, Layla, Piper for 29 minutes late in the evening.\"\n29163,2018/08/20,\"I spent 28 talking to Avery, Kinsley, Piper, Hazel on various topics in the early evening.\",\"I spent 28 talking to Avery, Kinsley, Piper, Hazel on various topics in the early evening.\"\n29164,2018/08/20,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n29165,2018/08/20,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n29166,2018/08/21,I did swimming on 2018/08/21.,I did swimming on 2018/08/21.\n29167,2018/08/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n29168,2018/08/21,I had lunch with Carter. I ate steak.,I had lunch with Carter. I ate steak.\n29169,2018/08/21,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n29170,2018/08/21,\"I talked to Avery, Olivia for 47 minutes late in the evening.\",\"I talked to Avery, Olivia for 47 minutes late in the evening.\"\n29171,2018/08/21,\"I talked to Hazel, Olivia, Piper, Rylee for 30 minutes in the early afternoon.\",\"I talked to Hazel, Olivia, Piper, Rylee for 30 minutes in the early afternoon.\"\n29172,2018/08/21,\"I talked to Eva, Layla, Olivia for 48 minutes late in the evening.\",\"I talked to Eva, Layla, Olivia for 48 minutes late in the evening.\"\n29173,2018/08/21,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n29174,2018/08/21,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n29175,2018/08/22,\"I bought some pineapples, guava juice, toothbrush, shaving cream, mouth wash online.\",\"I bought some pineapples, guava juice, toothbrush, shaving cream, mouth wash online.\"\n29176,2018/08/22,I did swimming on 2018/08/22.,I did swimming on 2018/08/22.\n29177,2018/08/22,\"I had breakfast with Kayden, Carter, Andrew. I ate cereals.\",\"I had breakfast with Kayden, Carter, Andrew. I ate cereals.\"\n29178,2018/08/22,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n29179,2018/08/22,I ate tacos for dinner.,I ate tacos for dinner.\n29180,2018/08/22,\"I spent 28 talking to Lydia, Avery on various topics during lunch hours.\",\"I spent 28 talking to Lydia, Avery on various topics during lunch hours.\"\n29181,2018/08/22,\"I talked to Nevaeh, Avery, Piper, Claire for 39 minutes during lunch hours.\",\"I talked to Nevaeh, Avery, Piper, Claire for 39 minutes during lunch hours.\"\n29182,2018/08/22,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n29183,2018/08/22,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n29184,2018/08/23,\"I spent time meditation on 2018/08/23 with Andrew, Emily.\",\"I spent time meditation on 2018/08/23 with Andrew, Emily.\"\n29185,2018/08/23,I did HIIT on 2018/08/23.,I did HIIT on 2018/08/23.\n29186,2018/08/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n29187,2018/08/23,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n29188,2018/08/23,I had dinner with Andrew. I ate sushi.,I had dinner with Andrew. I ate sushi.\n29189,2018/08/23,\"I spent 39 talking to Layla, Avery, Kinsley on various topics in the late afternoon.\",\"I spent 39 talking to Layla, Avery, Kinsley on various topics in the late afternoon.\"\n29190,2018/08/23,\"I spent 9 talking to Hazel, Rylee on various topics in the early evening.\",\"I spent 9 talking to Hazel, Rylee on various topics in the early evening.\"\n29191,2018/08/23,\"I talked to Kinsley, Piper, Avery for 41 minutes in the morning.\",\"I talked to Kinsley, Piper, Avery for 41 minutes in the morning.\"\n29192,2018/08/23,\"I spent 24 talking to Layla, Avery, Hazel, Nora on various topics in the early afternoon.\",\"I spent 24 talking to Layla, Avery, Hazel, Nora on various topics in the early afternoon.\"\n29193,2018/08/23,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n29194,2018/08/23,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n29195,2018/08/24,I did hiking on 2018/08/24.,I did hiking on 2018/08/24.\n29196,2018/08/24,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n29197,2018/08/24,\"I had a burger for lunch with Eva, Claire, Hazel, Olivia, Lydia, Avery, Rylee, Nevaeh\",\"I had a burger for lunch with Eva, Claire, Hazel, Olivia, Lydia, Avery, Rylee, Nevaeh\"\n29198,2018/08/24,I prepare indian food for dinner.,I prepare indian food for dinner.\n29199,2018/08/24,I talked to Claire for 14 minutes in the late afternoon.,I talked to Claire for 14 minutes in the late afternoon.\n29200,2018/08/24,\"I talked to Rylee, Hazel for 54 minutes late in the evening.\",\"I talked to Rylee, Hazel for 54 minutes late in the evening.\"\n29201,2018/08/24,\"I spent 6 talking to Nevaeh, Layla, Lydia, Avery on various topics in the late afternoon.\",\"I spent 6 talking to Nevaeh, Layla, Lydia, Avery on various topics in the late afternoon.\"\n29202,2018/08/24,\"I talked to Layla, Olivia, Nevaeh for 41 minutes in the early afternoon.\",\"I talked to Layla, Olivia, Nevaeh for 41 minutes in the early afternoon.\"\n29203,2018/08/24,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n29204,2018/08/24,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n29205,2018/08/25,I did weight lifting on 2018/08/25.,I did weight lifting on 2018/08/25.\n29206,2018/08/25,\"I had cereals for breakfast with Benjamin, Avery, Willow, Jackson\",\"I had cereals for breakfast with Benjamin, Avery, Willow, Jackson\"\n29207,2018/08/25,I had sushi for lunch with Kayden,I had sushi for lunch with Kayden\n29208,2018/08/25,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n29209,2018/08/25,\"I talked to Lydia, Claire, Avery for 28 minutes in the early afternoon.\",\"I talked to Lydia, Claire, Avery for 28 minutes in the early afternoon.\"\n29210,2018/08/25,\"I spent 6 talking to Eva, Piper, Kinsley, Piper on various topics in the morning.\",\"I spent 6 talking to Eva, Piper, Kinsley, Piper on various topics in the morning.\"\n29211,2018/08/25,\"I spent 42 talking to Claire, Kinsley, Nora on various topics late in the evening.\",\"I spent 42 talking to Claire, Kinsley, Nora on various topics late in the evening.\"\n29212,2018/08/25,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n29213,2018/08/25,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n29214,2018/08/26,\"On 2018/08/26, I took Parker on a date to a restaurant\",\"On 2018/08/26, I took Parker on a date to a restaurant\"\n29215,2018/08/26,I did weight lifting on 2018/08/26.,I did weight lifting on 2018/08/26.\n29216,2018/08/26,\"I had oatmeal for breakfast with Kayden, Emily\",\"I had oatmeal for breakfast with Kayden, Emily\"\n29217,2018/08/26,\"I had tacos for lunch with Hazel, Nora, Layla, Eva, Olivia, Lydia, Nevaeh, Piper, Claire\",\"I had tacos for lunch with Hazel, Nora, Layla, Eva, Olivia, Lydia, Nevaeh, Piper, Claire\"\n29218,2018/08/26,I prepare pasta for dinner.,I prepare pasta for dinner.\n29219,2018/08/26,\"I spent 47 talking to Rylee, Hazel, Kinsley, Avery on various topics in the morning.\",\"I spent 47 talking to Rylee, Hazel, Kinsley, Avery on various topics in the morning.\"\n29220,2018/08/26,\"I spent 33 talking to Olivia, Piper, Eva on various topics in the morning.\",\"I spent 33 talking to Olivia, Piper, Eva on various topics in the morning.\"\n29221,2018/08/26,\"I talked to Rylee, Nevaeh, Nora for 21 minutes during lunch hours.\",\"I talked to Rylee, Nevaeh, Nora for 21 minutes during lunch hours.\"\n29222,2018/08/26,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n29223,2018/08/26,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n29224,2018/08/27,I did biking on 2018/08/27.,I did biking on 2018/08/27.\n29225,2018/08/27,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n29226,2018/08/27,\"I had lunch with Benjamin, Jackson. I ate steak.\",\"I had lunch with Benjamin, Jackson. I ate steak.\"\n29227,2018/08/27,I had dinner. I ate steak.,I had dinner. I ate steak.\n29228,2018/08/27,\"I spent 45 talking to Claire, Eva, Rylee, Piper on various topics in the early evening.\",\"I spent 45 talking to Claire, Eva, Rylee, Piper on various topics in the early evening.\"\n29229,2018/08/27,\"I talked to Layla, Claire, Avery for 16 minutes in the early evening.\",\"I talked to Layla, Claire, Avery for 16 minutes in the early evening.\"\n29230,2018/08/27,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n29231,2018/08/27,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n29232,2018/08/28,\"I spent time learning a language on 2018/08/28 with Hazel, Eva.\",\"I spent time learning a language on 2018/08/28 with Hazel, Eva.\"\n29233,2018/08/28,I did running on 2018/08/28.,I did running on 2018/08/28.\n29234,2018/08/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n29235,2018/08/28,\"I had tacos for lunch with Carter, Kayden, Andrew\",\"I had tacos for lunch with Carter, Kayden, Andrew\"\n29236,2018/08/28,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n29237,2018/08/28,\"I talked to Nora, Eva for 52 minutes late in the evening.\",\"I talked to Nora, Eva for 52 minutes late in the evening.\"\n29238,2018/08/28,\"I spent 51 talking to Eva, Claire, Avery on various topics in the early afternoon.\",\"I spent 51 talking to Eva, Claire, Avery on various topics in the early afternoon.\"\n29239,2018/08/28,\"I spent 41 talking to Claire, Piper, Lydia on various topics late in the evening.\",\"I spent 41 talking to Claire, Piper, Lydia on various topics late in the evening.\"\n29240,2018/08/28,I talked to Hazel for 21 minutes in the late afternoon.,I talked to Hazel for 21 minutes in the late afternoon.\n29241,2018/08/28,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n29242,2018/08/28,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n29243,2018/08/29,I did running on 2018/08/29.,I did running on 2018/08/29.\n29244,2018/08/29,\"I had oatmeal for breakfast with Kayden, Andrew, Carter, Emily\",\"I had oatmeal for breakfast with Kayden, Andrew, Carter, Emily\"\n29245,2018/08/29,I had lunch with Benjamin. I ate pasta.,I had lunch with Benjamin. I ate pasta.\n29246,2018/08/29,\"I had indian food for dinner with Lydia, Piper, Claire, Olivia\",\"I had indian food for dinner with Lydia, Piper, Claire, Olivia\"\n29247,2018/08/29,I talked to Nora for 52 minutes in the early evening.,I talked to Nora for 52 minutes in the early evening.\n29248,2018/08/29,I spent 55 talking to Piper on various topics in the late afternoon.,I spent 55 talking to Piper on various topics in the late afternoon.\n29249,2018/08/29,\"I spent 14 talking to Kinsley, Claire, Nevaeh on various topics in the early afternoon.\",\"I spent 14 talking to Kinsley, Claire, Nevaeh on various topics in the early afternoon.\"\n29250,2018/08/29,\"I talked to Eva, Lydia for 50 minutes in the late afternoon.\",\"I talked to Eva, Lydia for 50 minutes in the late afternoon.\"\n29251,2018/08/29,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n29252,2018/08/29,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n29253,2018/08/30,I did HIIT on 2018/08/30.,I did HIIT on 2018/08/30.\n29254,2018/08/30,\"I had cereals for breakfast with Hazel, Kinsley, Nora, Eva, Piper, Avery, Olivia, Piper, Layla, Lydia\",\"I had cereals for breakfast with Hazel, Kinsley, Nora, Eva, Piper, Avery, Olivia, Piper, Layla, Lydia\"\n29255,2018/08/30,I had lunch with Kayden. I ate sandwich.,I had lunch with Kayden. I ate sandwich.\n29256,2018/08/30,\"I had dinner with Jackson, Benjamin, Willow, Avery. I ate chinese food.\",\"I had dinner with Jackson, Benjamin, Willow, Avery. I ate chinese food.\"\n29257,2018/08/30,\"I spent 53 talking to Nevaeh, Claire on various topics in the morning.\",\"I spent 53 talking to Nevaeh, Claire on various topics in the morning.\"\n29258,2018/08/30,\"I spent 40 talking to Hazel, Lydia, Eva, Rylee on various topics in the early afternoon.\",\"I spent 40 talking to Hazel, Lydia, Eva, Rylee on various topics in the early afternoon.\"\n29259,2018/08/30,\"I talked to Piper, Avery for 12 minutes in the late afternoon.\",\"I talked to Piper, Avery for 12 minutes in the late afternoon.\"\n29260,2018/08/30,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n29261,2018/08/30,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n29262,2018/08/31,I spent some time yoga on 2018/08/31.,I spent some time yoga on 2018/08/31.\n29263,2018/08/31,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n29264,2018/08/31,I ate chinese food for lunch.,I ate chinese food for lunch.\n29265,2018/08/31,I had dinner with Carter. I ate steak.,I had dinner with Carter. I ate steak.\n29266,2018/08/31,\"I talked to Rylee, Kinsley, Olivia for 52 minutes in the morning.\",\"I talked to Rylee, Kinsley, Olivia for 52 minutes in the morning.\"\n29267,2018/08/31,\"I talked to Nora, Piper, Nevaeh for 13 minutes in the morning.\",\"I talked to Nora, Piper, Nevaeh for 13 minutes in the morning.\"\n29268,2018/08/31,I spent 19 talking to Nora on various topics in the early afternoon.,I spent 19 talking to Nora on various topics in the early afternoon.\n29269,2018/08/31,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n29270,2018/08/31,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n29271,2018/09/01,I went on a date with Emma on 2018/09/01 at a park,I went on a date with Emma on 2018/09/01 at a park\n29272,2018/09/01,\"I went grocery shopping with Benjamin. I bought some oranges, milk, orange juice, mango juice, mineral water, and mouthwash, toilet paper, mouth wash\",\"I went grocery shopping with Benjamin. I bought some oranges, milk, orange juice, mango juice, mineral water, and mouthwash, toilet paper, mouth wash\"\n29273,2018/09/01,I did hiking on 2018/09/01.,I did hiking on 2018/09/01.\n29274,2018/09/01,I had toast and cheese for breakfast with Jackson,I had toast and cheese for breakfast with Jackson\n29275,2018/09/01,I ate a burger for lunch.,I ate a burger for lunch.\n29276,2018/09/01,I ate indian food for dinner.,I ate indian food for dinner.\n29277,2018/09/01,\"I spent 43 talking to Avery, Rylee, Piper on various topics in the late afternoon.\",\"I spent 43 talking to Avery, Rylee, Piper on various topics in the late afternoon.\"\n29278,2018/09/01,\"I spent 25 talking to Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 25 talking to Piper, Nevaeh on various topics in the late afternoon.\"\n29279,2018/09/01,\"I spent 43 talking to Olivia, Piper, Rylee on various topics late in the evening.\",\"I spent 43 talking to Olivia, Piper, Rylee on various topics late in the evening.\"\n29280,2018/09/01,\"I spent 21 talking to Piper, Nevaeh, Lydia, Claire on various topics late in the evening.\",\"I spent 21 talking to Piper, Nevaeh, Lydia, Claire on various topics late in the evening.\"\n29281,2018/09/01,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n29282,2018/09/01,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n29283,2018/09/02,I did swimming on 2018/09/02.,I did swimming on 2018/09/02.\n29284,2018/09/02,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n29285,2018/09/02,\"I had lunch with Andrew, Kayden, Emily. I ate a burger.\",\"I had lunch with Andrew, Kayden, Emily. I ate a burger.\"\n29286,2018/09/02,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n29287,2018/09/02,I talked to Nora for 26 minutes in the early evening.,I talked to Nora for 26 minutes in the early evening.\n29288,2018/09/02,\"I spent 35 talking to Olivia, Nora, Eva on various topics in the morning.\",\"I spent 35 talking to Olivia, Nora, Eva on various topics in the morning.\"\n29289,2018/09/02,I spent 45 talking to Kinsley on various topics in the morning.,I spent 45 talking to Kinsley on various topics in the morning.\n29290,2018/09/02,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n29291,2018/09/02,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n29292,2018/09/03,\"I went grocery shopping with Nora, Kinsley, Layla, Hazel, Piper, Eva, Claire, Lydia, Nevaeh, Avery. I bought some bananas, guava juice, orange juice, mango juice, pineapple juice, and paper towel, toothpaste\",\"I went grocery shopping with Nora, Kinsley, Layla, Hazel, Piper, Eva, Claire, Lydia, Nevaeh, Avery. I bought some bananas, guava juice, orange juice, mango juice, pineapple juice, and paper towel, toothpaste\"\n29293,2018/09/03,I did HIIT on 2018/09/03.,I did HIIT on 2018/09/03.\n29294,2018/09/03,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n29295,2018/09/03,I ate steak for lunch.,I ate steak for lunch.\n29296,2018/09/03,\"I had dinner with Andrew, Kayden. I ate pasta.\",\"I had dinner with Andrew, Kayden. I ate pasta.\"\n29297,2018/09/03,\"I talked to Hazel, Kinsley for 11 minutes during lunch hours.\",\"I talked to Hazel, Kinsley for 11 minutes during lunch hours.\"\n29298,2018/09/03,\"I spent 39 talking to Nevaeh, Avery, Kinsley, Eva on various topics in the late afternoon.\",\"I spent 39 talking to Nevaeh, Avery, Kinsley, Eva on various topics in the late afternoon.\"\n29299,2018/09/03,\"I spent 31 talking to Piper, Kinsley, Lydia on various topics late in the evening.\",\"I spent 31 talking to Piper, Kinsley, Lydia on various topics late in the evening.\"\n29300,2018/09/03,\"I spent 48 talking to Nevaeh, Rylee on various topics in the morning.\",\"I spent 48 talking to Nevaeh, Rylee on various topics in the morning.\"\n29301,2018/09/03,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n29302,2018/09/03,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n29303,2018/09/04,I did biking on 2018/09/04.,I did biking on 2018/09/04.\n29304,2018/09/04,\"I had breakfast with Benjamin. I ate eggs, sausages, and bread.\",\"I had breakfast with Benjamin. I ate eggs, sausages, and bread.\"\n29305,2018/09/04,\"I had lunch with Emily, Andrew, Carter, Kayden. I ate sandwich.\",\"I had lunch with Emily, Andrew, Carter, Kayden. I ate sandwich.\"\n29306,2018/09/04,I prepare a burger for dinner.,I prepare a burger for dinner.\n29307,2018/09/04,\"I spent 34 talking to Olivia, Rylee, Layla on various topics in the early evening.\",\"I spent 34 talking to Olivia, Rylee, Layla on various topics in the early evening.\"\n29308,2018/09/04,\"I talked to Lydia, Hazel, Nevaeh for 17 minutes during lunch hours.\",\"I talked to Lydia, Hazel, Nevaeh for 17 minutes during lunch hours.\"\n29309,2018/09/04,\"I spent 24 talking to Piper, Piper, Olivia on various topics late in the evening.\",\"I spent 24 talking to Piper, Piper, Olivia on various topics late in the evening.\"\n29310,2018/09/04,I talked to Nevaeh for 11 minutes in the early afternoon.,I talked to Nevaeh for 11 minutes in the early afternoon.\n29311,2018/09/04,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n29312,2018/09/04,I watched a documentary for 35 minutes on TV today.,I watched a documentary for 35 minutes on TV today.\n29313,2018/09/05,\"On 2018/09/05, I took Greyson on a date to a boba shop\",\"On 2018/09/05, I took Greyson on a date to a boba shop\"\n29314,2018/09/05,I really enjoyed yoga on 2018/09/05,I really enjoyed yoga on 2018/09/05\n29315,2018/09/05,I did biking on 2018/09/05.,I did biking on 2018/09/05.\n29316,2018/09/05,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n29317,2018/09/05,I ate a burger for lunch.,I ate a burger for lunch.\n29318,2018/09/05,I ate sandwich for dinner.,I ate sandwich for dinner.\n29319,2018/09/05,\"I spent 21 talking to Rylee, Eva, Avery, Layla on various topics in the morning.\",\"I spent 21 talking to Rylee, Eva, Avery, Layla on various topics in the morning.\"\n29320,2018/09/05,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n29321,2018/09/05,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n29322,2018/09/06,I went on a date with Ariana on 2018/09/06 at a coffee Shop,I went on a date with Ariana on 2018/09/06 at a coffee Shop\n29323,2018/09/06,\"I went grocery shopping with Willow. I bought some oranges, peaches, sports drinks, and body lotion\",\"I went grocery shopping with Willow. I bought some oranges, peaches, sports drinks, and body lotion\"\n29324,2018/09/06,I did HIIT on 2018/09/06.,I did HIIT on 2018/09/06.\n29325,2018/09/06,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n29326,2018/09/06,I prepare steak for lunch.,I prepare steak for lunch.\n29327,2018/09/06,I prepare indian food for dinner.,I prepare indian food for dinner.\n29328,2018/09/06,I spent 50 talking to Kinsley on various topics in the early evening.,I spent 50 talking to Kinsley on various topics in the early evening.\n29329,2018/09/06,I spent 25 talking to Nora on various topics in the late afternoon.,I spent 25 talking to Nora on various topics in the late afternoon.\n29330,2018/09/06,\"I spent 20 talking to Rylee, Hazel, Olivia, Piper on various topics in the early evening.\",\"I spent 20 talking to Rylee, Hazel, Olivia, Piper on various topics in the early evening.\"\n29331,2018/09/06,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n29332,2018/09/06,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n29333,2018/09/07,I spent some time gardening on 2018/09/07.,I spent some time gardening on 2018/09/07.\n29334,2018/09/07,I did hiking on 2018/09/07.,I did hiking on 2018/09/07.\n29335,2018/09/07,\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Emily, Carter\",\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Emily, Carter\"\n29336,2018/09/07,I prepare sushi for lunch.,I prepare sushi for lunch.\n29337,2018/09/07,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n29338,2018/09/07,\"I spent 11 talking to Claire, Avery, Kinsley, Rylee on various topics in the late afternoon.\",\"I spent 11 talking to Claire, Avery, Kinsley, Rylee on various topics in the late afternoon.\"\n29339,2018/09/07,I spent 52 talking to Nora on various topics during lunch hours.,I spent 52 talking to Nora on various topics during lunch hours.\n29340,2018/09/07,I spent 50 minutes on a book today.,I spent 50 minutes on a book today.\n29341,2018/09/07,I watched a movie for 54 minutes on TV today.,I watched a movie for 54 minutes on TV today.\n29342,2018/09/08,I did weight lifting on 2018/09/08.,I did weight lifting on 2018/09/08.\n29343,2018/09/08,\"I had breakfast with Rylee, Nora, Kinsley, Piper, Hazel, Lydia, Claire, Nevaeh, Eva, Olivia, Layla, Avery, Piper. I ate oatmeal.\",\"I had breakfast with Rylee, Nora, Kinsley, Piper, Hazel, Lydia, Claire, Nevaeh, Eva, Olivia, Layla, Avery, Piper. I ate oatmeal.\"\n29344,2018/09/08,\"I had steak for lunch with Avery, Jackson\",\"I had steak for lunch with Avery, Jackson\"\n29345,2018/09/08,I ate sushi for dinner.,I ate sushi for dinner.\n29346,2018/09/08,\"I talked to Lydia, Nora for 23 minutes late in the evening.\",\"I talked to Lydia, Nora for 23 minutes late in the evening.\"\n29347,2018/09/08,\"I talked to Olivia, Eva, Hazel, Nevaeh for 30 minutes late in the evening.\",\"I talked to Olivia, Eva, Hazel, Nevaeh for 30 minutes late in the evening.\"\n29348,2018/09/08,\"I spent 42 talking to Piper, Eva, Lydia, Nora on various topics in the early evening.\",\"I spent 42 talking to Piper, Eva, Lydia, Nora on various topics in the early evening.\"\n29349,2018/09/08,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n29350,2018/09/08,I spent 36 minutes watching a documentary on TV today.,I spent 36 minutes watching a documentary on TV today.\n29351,2018/09/09,I did biking on 2018/09/09.,I did biking on 2018/09/09.\n29352,2018/09/09,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n29353,2018/09/09,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n29354,2018/09/09,\"I had fish and chips for dinner with Eva, Olivia, Rylee, Piper, Kinsley, Layla, Piper, Lydia, Nora, Avery, Claire, Nevaeh\",\"I had fish and chips for dinner with Eva, Olivia, Rylee, Piper, Kinsley, Layla, Piper, Lydia, Nora, Avery, Claire, Nevaeh\"\n29355,2018/09/09,I talked to Nevaeh for 54 minutes during lunch hours.,I talked to Nevaeh for 54 minutes during lunch hours.\n29356,2018/09/09,I spent 54 talking to Hazel on various topics in the morning.,I spent 54 talking to Hazel on various topics in the morning.\n29357,2018/09/09,I spent 20 talking to Hazel on various topics in the early evening.,I spent 20 talking to Hazel on various topics in the early evening.\n29358,2018/09/09,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n29359,2018/09/09,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n29360,2018/09/10,I did running on 2018/09/10.,I did running on 2018/09/10.\n29361,2018/09/10,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n29362,2018/09/10,\"I had lunch with Emily, Andrew. I ate steak.\",\"I had lunch with Emily, Andrew. I ate steak.\"\n29363,2018/09/10,I prepare a burger for dinner.,I prepare a burger for dinner.\n29364,2018/09/10,\"I spent 13 talking to Olivia, Piper, Hazel, Lydia on various topics during lunch hours.\",\"I spent 13 talking to Olivia, Piper, Hazel, Lydia on various topics during lunch hours.\"\n29365,2018/09/10,\"I talked to Piper, Piper, Lydia for 37 minutes in the late afternoon.\",\"I talked to Piper, Piper, Lydia for 37 minutes in the late afternoon.\"\n29366,2018/09/10,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n29367,2018/09/10,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n29368,2018/09/11,I went on a date with Wang-Chiew on 2018/09/11 at a restaurant,I went on a date with Wang-Chiew on 2018/09/11 at a restaurant\n29369,2018/09/11,I did HIIT on 2018/09/11.,I did HIIT on 2018/09/11.\n29370,2018/09/11,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n29371,2018/09/11,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n29372,2018/09/11,\"I had dinner with Lydia, Nora, Eva, Kinsley, Avery, Hazel. I ate steak.\",\"I had dinner with Lydia, Nora, Eva, Kinsley, Avery, Hazel. I ate steak.\"\n29373,2018/09/11,I spent 42 talking to Nevaeh on various topics in the late afternoon.,I spent 42 talking to Nevaeh on various topics in the late afternoon.\n29374,2018/09/11,\"I spent 34 talking to Layla, Piper, Rylee on various topics in the late afternoon.\",\"I spent 34 talking to Layla, Piper, Rylee on various topics in the late afternoon.\"\n29375,2018/09/11,\"I spent 31 talking to Piper, Kinsley, Eva on various topics in the morning.\",\"I spent 31 talking to Piper, Kinsley, Eva on various topics in the morning.\"\n29376,2018/09/11,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n29377,2018/09/11,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n29378,2018/09/12,I did running on 2018/09/12.,I did running on 2018/09/12.\n29379,2018/09/12,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n29380,2018/09/12,I ate sandwich for lunch.,I ate sandwich for lunch.\n29381,2018/09/12,\"I had dinner with Eva, Avery, Kinsley, Nevaeh, Rylee, Lydia. I ate pasta.\",\"I had dinner with Eva, Avery, Kinsley, Nevaeh, Rylee, Lydia. I ate pasta.\"\n29382,2018/09/12,\"I talked to Piper, Kinsley, Piper for 14 minutes in the morning.\",\"I talked to Piper, Kinsley, Piper for 14 minutes in the morning.\"\n29383,2018/09/12,\"I spent 27 talking to Eva, Kinsley, Claire, Nora on various topics in the early evening.\",\"I spent 27 talking to Eva, Kinsley, Claire, Nora on various topics in the early evening.\"\n29384,2018/09/12,\"I talked to Claire, Kinsley for 41 minutes in the morning.\",\"I talked to Claire, Kinsley for 41 minutes in the morning.\"\n29385,2018/09/12,\"I spent 8 talking to Lydia, Piper on various topics in the late afternoon.\",\"I spent 8 talking to Lydia, Piper on various topics in the late afternoon.\"\n29386,2018/09/12,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n29387,2018/09/12,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n29388,2018/09/13,I did HIIT on 2018/09/13.,I did HIIT on 2018/09/13.\n29389,2018/09/13,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n29390,2018/09/13,I prepare steak for lunch.,I prepare steak for lunch.\n29391,2018/09/13,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n29392,2018/09/13,\"I talked to Nora, Nevaeh, Claire, Lydia for 8 minutes late in the evening.\",\"I talked to Nora, Nevaeh, Claire, Lydia for 8 minutes late in the evening.\"\n29393,2018/09/13,\"I spent 11 talking to Layla, Lydia on various topics in the late afternoon.\",\"I spent 11 talking to Layla, Lydia on various topics in the late afternoon.\"\n29394,2018/09/13,\"I talked to Nevaeh, Hazel, Piper for 7 minutes in the early evening.\",\"I talked to Nevaeh, Hazel, Piper for 7 minutes in the early evening.\"\n29395,2018/09/13,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n29396,2018/09/13,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n29397,2018/09/14,I went on a date with Peyton on 2018/09/14 at a restaurant,I went on a date with Peyton on 2018/09/14 at a restaurant\n29398,2018/09/14,\"I bought some watermelons, coffee, chocolate milk, milk, pineapple juice, shaving cream, mouth wash from the grocery store. I saw Andrew, Emily at the grocery store.\",\"I bought some watermelons, coffee, chocolate milk, milk, pineapple juice, shaving cream, mouth wash from the grocery store. I saw Andrew, Emily at the grocery store.\"\n29399,2018/09/14,I did weight lifting on 2018/09/14.,I did weight lifting on 2018/09/14.\n29400,2018/09/14,I ate cereals for breakfast.,I ate cereals for breakfast.\n29401,2018/09/14,\"I had fish and chips for lunch with Emily, Kayden, Carter, Andrew\",\"I had fish and chips for lunch with Emily, Kayden, Carter, Andrew\"\n29402,2018/09/14,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n29403,2018/09/14,\"I spent 19 talking to Rylee, Kinsley, Layla on various topics late in the evening.\",\"I spent 19 talking to Rylee, Kinsley, Layla on various topics late in the evening.\"\n29404,2018/09/14,\"I talked to Claire, Kinsley, Avery for 55 minutes in the early evening.\",\"I talked to Claire, Kinsley, Avery for 55 minutes in the early evening.\"\n29405,2018/09/14,\"I talked to Lydia, Piper, Layla, Kinsley for 11 minutes in the morning.\",\"I talked to Lydia, Piper, Layla, Kinsley for 11 minutes in the morning.\"\n29406,2018/09/14,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n29407,2018/09/14,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n29408,2018/09/15,\"I had pancakes for breakfast with Carter, Kayden\",\"I had pancakes for breakfast with Carter, Kayden\"\n29409,2018/09/15,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n29410,2018/09/15,I prepare indian food for dinner.,I prepare indian food for dinner.\n29411,2018/09/15,\"I talked to Rylee, Piper, Hazel for 46 minutes in the early evening.\",\"I talked to Rylee, Piper, Hazel for 46 minutes in the early evening.\"\n29412,2018/09/15,\"I talked to Kinsley, Nora, Lydia for 10 minutes late in the evening.\",\"I talked to Kinsley, Nora, Lydia for 10 minutes late in the evening.\"\n29413,2018/09/15,\"I talked to Piper, Kinsley, Olivia, Claire for 55 minutes in the early evening.\",\"I talked to Piper, Kinsley, Olivia, Claire for 55 minutes in the early evening.\"\n29414,2018/09/15,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n29415,2018/09/15,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n29416,2018/09/16,I did HIIT on 2018/09/16.,I did HIIT on 2018/09/16.\n29417,2018/09/16,\"I had breakfast with Carter, Kayden, Andrew, Emily. I ate toast and cheese.\",\"I had breakfast with Carter, Kayden, Andrew, Emily. I ate toast and cheese.\"\n29418,2018/09/16,\"I had lunch with Emily, Andrew, Carter. I ate sandwich.\",\"I had lunch with Emily, Andrew, Carter. I ate sandwich.\"\n29419,2018/09/16,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n29420,2018/09/16,I spent 10 talking to Layla on various topics in the early evening.,I spent 10 talking to Layla on various topics in the early evening.\n29421,2018/09/16,I spent 21 talking to Nora on various topics in the early evening.,I spent 21 talking to Nora on various topics in the early evening.\n29422,2018/09/16,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n29423,2018/09/16,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n29424,2018/09/17,\"I had breakfast with Emily, Andrew, Carter, Kayden. I ate oatmeal.\",\"I had breakfast with Emily, Andrew, Carter, Kayden. I ate oatmeal.\"\n29425,2018/09/17,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n29426,2018/09/17,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n29427,2018/09/17,\"I spent 42 talking to Lydia, Rylee on various topics late in the evening.\",\"I spent 42 talking to Lydia, Rylee on various topics late in the evening.\"\n29428,2018/09/17,\"I talked to Lydia, Eva for 18 minutes in the early afternoon.\",\"I talked to Lydia, Eva for 18 minutes in the early afternoon.\"\n29429,2018/09/17,\"I talked to Piper, Kinsley, Claire, Lydia for 17 minutes in the morning.\",\"I talked to Piper, Kinsley, Claire, Lydia for 17 minutes in the morning.\"\n29430,2018/09/17,I spent 25 talking to Avery on various topics in the early evening.,I spent 25 talking to Avery on various topics in the early evening.\n29431,2018/09/17,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n29432,2018/09/17,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n29433,2018/09/18,I did HIIT on 2018/09/18.,I did HIIT on 2018/09/18.\n29434,2018/09/18,\"I had pancakes for breakfast with Nora, Claire, Lydia\",\"I had pancakes for breakfast with Nora, Claire, Lydia\"\n29435,2018/09/18,I prepare sushi for lunch.,I prepare sushi for lunch.\n29436,2018/09/18,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n29437,2018/09/18,\"I spent 27 talking to Piper, Rylee, Hazel, Layla on various topics in the late afternoon.\",\"I spent 27 talking to Piper, Rylee, Hazel, Layla on various topics in the late afternoon.\"\n29438,2018/09/18,I talked to Claire for 24 minutes in the early afternoon.,I talked to Claire for 24 minutes in the early afternoon.\n29439,2018/09/18,I talked to Piper for 26 minutes in the early evening.,I talked to Piper for 26 minutes in the early evening.\n29440,2018/09/18,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n29441,2018/09/18,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n29442,2018/09/19,\"I went grocery shopping with Avery. I bought some pineapples, mandarins, coffee, mineral water, and toothpaste, shampoo, mouthwash, toilet paper\",\"I went grocery shopping with Avery. I bought some pineapples, mandarins, coffee, mineral water, and toothpaste, shampoo, mouthwash, toilet paper\"\n29443,2018/09/19,I did running on 2018/09/19.,I did running on 2018/09/19.\n29444,2018/09/19,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n29445,2018/09/19,I ate steak for lunch.,I ate steak for lunch.\n29446,2018/09/19,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n29447,2018/09/19,\"I spent 11 talking to Layla, Piper, Avery, Piper on various topics in the morning.\",\"I spent 11 talking to Layla, Piper, Avery, Piper on various topics in the morning.\"\n29448,2018/09/19,\"I spent 21 talking to Lydia, Layla, Nora on various topics in the morning.\",\"I spent 21 talking to Lydia, Layla, Nora on various topics in the morning.\"\n29449,2018/09/19,\"I talked to Hazel, Nevaeh, Piper for 17 minutes in the late afternoon.\",\"I talked to Hazel, Nevaeh, Piper for 17 minutes in the late afternoon.\"\n29450,2018/09/19,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n29451,2018/09/19,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n29452,2018/09/20,\"I had eggs, sausages, and bread for breakfast with Andrew, Carter, Kayden\",\"I had eggs, sausages, and bread for breakfast with Andrew, Carter, Kayden\"\n29453,2018/09/20,I ate sushi for lunch.,I ate sushi for lunch.\n29454,2018/09/20,\"I had tacos for dinner with Benjamin, Jackson, Avery\",\"I had tacos for dinner with Benjamin, Jackson, Avery\"\n29455,2018/09/20,I spent 20 talking to Eva on various topics late in the evening.,I spent 20 talking to Eva on various topics late in the evening.\n29456,2018/09/20,I talked to Avery for 33 minutes in the late afternoon.,I talked to Avery for 33 minutes in the late afternoon.\n29457,2018/09/20,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n29458,2018/09/20,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n29459,2018/09/21,\"On 2018/09/21, I took Adeline on a date to a coffee Shop\",\"On 2018/09/21, I took Adeline on a date to a coffee Shop\"\n29460,2018/09/21,I did HIIT on 2018/09/21.,I did HIIT on 2018/09/21.\n29461,2018/09/21,I had oatmeal for breakfast with Carter,I had oatmeal for breakfast with Carter\n29462,2018/09/21,I prepare indian food for lunch.,I prepare indian food for lunch.\n29463,2018/09/21,I ate sandwich for dinner.,I ate sandwich for dinner.\n29464,2018/09/21,I spent 28 talking to Kinsley on various topics late in the evening.,I spent 28 talking to Kinsley on various topics late in the evening.\n29465,2018/09/21,I spent 31 talking to Olivia on various topics in the early afternoon.,I spent 31 talking to Olivia on various topics in the early afternoon.\n29466,2018/09/21,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n29467,2018/09/21,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n29468,2018/09/22,I did HIIT on 2018/09/22.,I did HIIT on 2018/09/22.\n29469,2018/09/22,I had toast and cheese for breakfast with Willow,I had toast and cheese for breakfast with Willow\n29470,2018/09/22,\"I had lunch with Carter, Kayden, Andrew, Emily. I ate steak.\",\"I had lunch with Carter, Kayden, Andrew, Emily. I ate steak.\"\n29471,2018/09/22,I prepare sushi for dinner.,I prepare sushi for dinner.\n29472,2018/09/22,I talked to Lydia for 36 minutes during lunch hours.,I talked to Lydia for 36 minutes during lunch hours.\n29473,2018/09/22,\"I spent 8 talking to Hazel, Avery on various topics during lunch hours.\",\"I spent 8 talking to Hazel, Avery on various topics during lunch hours.\"\n29474,2018/09/22,\"I talked to Claire, Rylee for 9 minutes late in the evening.\",\"I talked to Claire, Rylee for 9 minutes late in the evening.\"\n29475,2018/09/22,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n29476,2018/09/22,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n29477,2018/09/23,I spent some time meditation on 2018/09/23.,I spent some time meditation on 2018/09/23.\n29478,2018/09/23,\"I bought some peaches, apricots, raspberries, cherres, apple juice, sports drinks, orange juice, toothpaste online.\",\"I bought some peaches, apricots, raspberries, cherres, apple juice, sports drinks, orange juice, toothpaste online.\"\n29479,2018/09/23,I did running on 2018/09/23.,I did running on 2018/09/23.\n29480,2018/09/23,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n29481,2018/09/23,\"I had fish and chips for lunch with Eva, Olivia, Piper, Lydia\",\"I had fish and chips for lunch with Eva, Olivia, Piper, Lydia\"\n29482,2018/09/23,\"I had fish and chips for dinner with Piper, Kinsley\",\"I had fish and chips for dinner with Piper, Kinsley\"\n29483,2018/09/23,\"I talked to Nevaeh, Claire, Hazel, Olivia for 17 minutes late in the evening.\",\"I talked to Nevaeh, Claire, Hazel, Olivia for 17 minutes late in the evening.\"\n29484,2018/09/23,\"I spent 35 talking to Piper, Nora on various topics in the late afternoon.\",\"I spent 35 talking to Piper, Nora on various topics in the late afternoon.\"\n29485,2018/09/23,\"I spent 33 talking to Kinsley, Olivia, Layla, Eva on various topics in the morning.\",\"I spent 33 talking to Kinsley, Olivia, Layla, Eva on various topics in the morning.\"\n29486,2018/09/23,I talked to Olivia for 37 minutes in the early evening.,I talked to Olivia for 37 minutes in the early evening.\n29487,2018/09/23,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n29488,2018/09/23,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n29489,2018/09/24,I did hiking on 2018/09/24.,I did hiking on 2018/09/24.\n29490,2018/09/24,\"I had breakfast with Emily, Andrew, Kayden. I ate cereals.\",\"I had breakfast with Emily, Andrew, Kayden. I ate cereals.\"\n29491,2018/09/24,I ate tacos for lunch.,I ate tacos for lunch.\n29492,2018/09/24,I had pasta for dinner with Hazel,I had pasta for dinner with Hazel\n29493,2018/09/24,I spent 34 talking to Hazel on various topics in the early evening.,I spent 34 talking to Hazel on various topics in the early evening.\n29494,2018/09/24,\"I spent 47 talking to Hazel, Olivia, Lydia on various topics during lunch hours.\",\"I spent 47 talking to Hazel, Olivia, Lydia on various topics during lunch hours.\"\n29495,2018/09/24,I talked to Eva for 11 minutes in the morning.,I talked to Eva for 11 minutes in the morning.\n29496,2018/09/24,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n29497,2018/09/24,I spent 30 minutes watching a movie on TV today.,I spent 30 minutes watching a movie on TV today.\n29498,2018/09/25,I went on a date with Isaiah on 2018/09/25 at a restaurant,I went on a date with Isaiah on 2018/09/25 at a restaurant\n29499,2018/09/25,I did biking on 2018/09/25.,I did biking on 2018/09/25.\n29500,2018/09/25,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n29501,2018/09/25,I prepare tacos for lunch.,I prepare tacos for lunch.\n29502,2018/09/25,I ate a burger for dinner.,I ate a burger for dinner.\n29503,2018/09/25,I talked to Claire for 16 minutes in the early evening.,I talked to Claire for 16 minutes in the early evening.\n29504,2018/09/25,\"I spent 45 talking to Kinsley, Lydia on various topics during lunch hours.\",\"I spent 45 talking to Kinsley, Lydia on various topics during lunch hours.\"\n29505,2018/09/25,\"I talked to Eva, Layla, Hazel for 19 minutes late in the evening.\",\"I talked to Eva, Layla, Hazel for 19 minutes late in the evening.\"\n29506,2018/09/25,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n29507,2018/09/25,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n29508,2018/09/26,\"I went grocery shopping with Emily, Andrew. I bought some strawberries, mandarins, mango juice, and facial wash\",\"I went grocery shopping with Emily, Andrew. I bought some strawberries, mandarins, mango juice, and facial wash\"\n29509,2018/09/26,I did running on 2018/09/26.,I did running on 2018/09/26.\n29510,2018/09/26,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n29511,2018/09/26,\"I had sushi for lunch with Nora, Claire, Rylee, Nevaeh, Piper, Kinsley\",\"I had sushi for lunch with Nora, Claire, Rylee, Nevaeh, Piper, Kinsley\"\n29512,2018/09/26,\"I had dinner with Andrew, Kayden, Carter. I ate sushi.\",\"I had dinner with Andrew, Kayden, Carter. I ate sushi.\"\n29513,2018/09/26,I spent 7 talking to Layla on various topics late in the evening.,I spent 7 talking to Layla on various topics late in the evening.\n29514,2018/09/26,I talked to Piper for 35 minutes late in the evening.,I talked to Piper for 35 minutes late in the evening.\n29515,2018/09/26,\"I talked to Lydia, Kinsley for 51 minutes late in the evening.\",\"I talked to Lydia, Kinsley for 51 minutes late in the evening.\"\n29516,2018/09/26,\"I spent 41 talking to Nevaeh, Olivia, Rylee, Kinsley on various topics in the early afternoon.\",\"I spent 41 talking to Nevaeh, Olivia, Rylee, Kinsley on various topics in the early afternoon.\"\n29517,2018/09/26,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n29518,2018/09/26,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n29519,2018/09/27,\"I bought some mandarins, pears, cherres, bananas, guava juice, tea, toothbrush from the grocery store. I saw Carter, Andrew, Kayden, Emily at the grocery store.\",\"I bought some mandarins, pears, cherres, bananas, guava juice, tea, toothbrush from the grocery store. I saw Carter, Andrew, Kayden, Emily at the grocery store.\"\n29520,2018/09/27,\"I had breakfast with Layla, Olivia, Rylee, Claire, Nora, Piper, Lydia, Hazel, Kinsley, Piper, Avery. I ate oatmeal.\",\"I had breakfast with Layla, Olivia, Rylee, Claire, Nora, Piper, Lydia, Hazel, Kinsley, Piper, Avery. I ate oatmeal.\"\n29521,2018/09/27,\"I had lunch with Andrew, Emily, Kayden, Carter. I ate pasta.\",\"I had lunch with Andrew, Emily, Kayden, Carter. I ate pasta.\"\n29522,2018/09/27,I prepare steak for dinner.,I prepare steak for dinner.\n29523,2018/09/27,\"I talked to Nora, Nevaeh, Eva, Claire for 12 minutes in the early afternoon.\",\"I talked to Nora, Nevaeh, Eva, Claire for 12 minutes in the early afternoon.\"\n29524,2018/09/27,I spent 41 talking to Rylee on various topics during lunch hours.,I spent 41 talking to Rylee on various topics during lunch hours.\n29525,2018/09/27,\"I talked to Lydia, Piper, Hazel for 41 minutes in the early afternoon.\",\"I talked to Lydia, Piper, Hazel for 41 minutes in the early afternoon.\"\n29526,2018/09/27,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n29527,2018/09/27,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n29528,2018/09/28,I went on a date with Audrey on 2018/09/28 at a restaurant,I went on a date with Audrey on 2018/09/28 at a restaurant\n29529,2018/09/28,I did swimming on 2018/09/28.,I did swimming on 2018/09/28.\n29530,2018/09/28,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n29531,2018/09/28,\"I had steak for lunch with Kinsley, Layla, Piper, Avery, Nora, Olivia\",\"I had steak for lunch with Kinsley, Layla, Piper, Avery, Nora, Olivia\"\n29532,2018/09/28,I ate steak for dinner.,I ate steak for dinner.\n29533,2018/09/28,I spent 13 talking to Rylee on various topics late in the evening.,I spent 13 talking to Rylee on various topics late in the evening.\n29534,2018/09/28,\"I talked to Lydia, Eva, Hazel for 23 minutes during lunch hours.\",\"I talked to Lydia, Eva, Hazel for 23 minutes during lunch hours.\"\n29535,2018/09/28,\"I spent 6 talking to Hazel, Piper, Avery, Olivia on various topics during lunch hours.\",\"I spent 6 talking to Hazel, Piper, Avery, Olivia on various topics during lunch hours.\"\n29536,2018/09/28,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n29537,2018/09/28,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n29538,2018/09/29,I did weight lifting on 2018/09/29.,I did weight lifting on 2018/09/29.\n29539,2018/09/29,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n29540,2018/09/29,I had steak for lunch with Willow,I had steak for lunch with Willow\n29541,2018/09/29,I prepare sushi for dinner.,I prepare sushi for dinner.\n29542,2018/09/29,\"I talked to Kinsley, Nevaeh, Olivia, Eva for 47 minutes in the early evening.\",\"I talked to Kinsley, Nevaeh, Olivia, Eva for 47 minutes in the early evening.\"\n29543,2018/09/29,\"I talked to Avery, Kinsley, Nora for 16 minutes during lunch hours.\",\"I talked to Avery, Kinsley, Nora for 16 minutes during lunch hours.\"\n29544,2018/09/29,\"I spent 45 talking to Avery, Eva, Claire, Nevaeh on various topics in the late afternoon.\",\"I spent 45 talking to Avery, Eva, Claire, Nevaeh on various topics in the late afternoon.\"\n29545,2018/09/29,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n29546,2018/09/29,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n29547,2018/09/30,I did running on 2018/09/30.,I did running on 2018/09/30.\n29548,2018/09/30,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n29549,2018/09/30,I ate pasta for lunch.,I ate pasta for lunch.\n29550,2018/09/30,I prepare steak for dinner.,I prepare steak for dinner.\n29551,2018/09/30,\"I spent 5 talking to Eva, Avery, Kinsley on various topics during lunch hours.\",\"I spent 5 talking to Eva, Avery, Kinsley on various topics during lunch hours.\"\n29552,2018/09/30,\"I talked to Olivia, Claire, Nora for 31 minutes in the late afternoon.\",\"I talked to Olivia, Claire, Nora for 31 minutes in the late afternoon.\"\n29553,2018/09/30,I talked to Kinsley for 13 minutes in the early afternoon.,I talked to Kinsley for 13 minutes in the early afternoon.\n29554,2018/09/30,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n29555,2018/09/30,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n29556,2018/10/01,\"I entertained Olivia, Piper, Nevaeh at my place on 2018/10/01 and cook ramen noodle stir-fry, turkey shepherd’s pie, broccoli-stuffed chicken\",\"I entertained Olivia, Piper, Nevaeh at my place on 2018/10/01 and cook ramen noodle stir-fry, turkey shepherd’s pie, broccoli-stuffed chicken\"\n29557,2018/10/01,I went on a date with Jace on 2018/10/01 at a restaurant,I went on a date with Jace on 2018/10/01 at a restaurant\n29558,2018/10/01,I spent some time learning a language on 2018/10/01.,I spent some time learning a language on 2018/10/01.\n29559,2018/10/01,I did weight lifting on 2018/10/01.,I did weight lifting on 2018/10/01.\n29560,2018/10/01,\"I had cereals for breakfast with Eva, Piper, Avery, Layla\",\"I had cereals for breakfast with Eva, Piper, Avery, Layla\"\n29561,2018/10/01,\"I had lunch with Kayden, Emily, Carter, Andrew. I ate sushi.\",\"I had lunch with Kayden, Emily, Carter, Andrew. I ate sushi.\"\n29562,2018/10/01,I had dinner with Benjamin. I ate steak.,I had dinner with Benjamin. I ate steak.\n29563,2018/10/01,\"I talked to Claire, Rylee, Hazel, Avery for 7 minutes during lunch hours.\",\"I talked to Claire, Rylee, Hazel, Avery for 7 minutes during lunch hours.\"\n29564,2018/10/01,\"I talked to Nevaeh, Olivia, Piper, Layla for 49 minutes in the morning.\",\"I talked to Nevaeh, Olivia, Piper, Layla for 49 minutes in the morning.\"\n29565,2018/10/01,\"I talked to Rylee, Piper for 20 minutes in the late afternoon.\",\"I talked to Rylee, Piper for 20 minutes in the late afternoon.\"\n29566,2018/10/01,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n29567,2018/10/01,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n29568,2018/10/02,\"I bought some apples, mandarins, raspberries, pineapple juice, milk, toothbrush online.\",\"I bought some apples, mandarins, raspberries, pineapple juice, milk, toothbrush online.\"\n29569,2018/10/02,I did biking on 2018/10/02.,I did biking on 2018/10/02.\n29570,2018/10/02,\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate cereals.\",\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate cereals.\"\n29571,2018/10/02,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n29572,2018/10/02,I ate sushi for dinner.,I ate sushi for dinner.\n29573,2018/10/02,\"I spent 53 talking to Kinsley, Piper on various topics late in the evening.\",\"I spent 53 talking to Kinsley, Piper on various topics late in the evening.\"\n29574,2018/10/02,I talked to Olivia for 50 minutes in the early evening.,I talked to Olivia for 50 minutes in the early evening.\n29575,2018/10/02,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n29576,2018/10/02,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n29577,2018/10/03,I did weight lifting on 2018/10/03.,I did weight lifting on 2018/10/03.\n29578,2018/10/03,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n29579,2018/10/03,I prepare sushi for lunch.,I prepare sushi for lunch.\n29580,2018/10/03,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n29581,2018/10/03,\"I spent 33 talking to Layla, Avery, Claire, Hazel on various topics late in the evening.\",\"I spent 33 talking to Layla, Avery, Claire, Hazel on various topics late in the evening.\"\n29582,2018/10/03,I talked to Olivia for 42 minutes in the morning.,I talked to Olivia for 42 minutes in the morning.\n29583,2018/10/03,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n29584,2018/10/03,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n29585,2018/10/04,I did biking on 2018/10/04.,I did biking on 2018/10/04.\n29586,2018/10/04,\"I had breakfast with Benjamin, Avery, Jackson, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Benjamin, Avery, Jackson, Willow. I ate eggs, sausages, and bread.\"\n29587,2018/10/04,\"I had lunch with Lydia, Eva, Nora, Layla, Piper, Piper, Kinsley, Nevaeh, Olivia. I ate indian food.\",\"I had lunch with Lydia, Eva, Nora, Layla, Piper, Piper, Kinsley, Nevaeh, Olivia. I ate indian food.\"\n29588,2018/10/04,I prepare steak for dinner.,I prepare steak for dinner.\n29589,2018/10/04,\"I spent 46 talking to Claire, Layla, Nora, Eva on various topics in the morning.\",\"I spent 46 talking to Claire, Layla, Nora, Eva on various topics in the morning.\"\n29590,2018/10/04,\"I talked to Olivia, Lydia, Layla for 36 minutes in the early evening.\",\"I talked to Olivia, Lydia, Layla for 36 minutes in the early evening.\"\n29591,2018/10/04,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n29592,2018/10/04,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n29593,2018/10/05,I did swimming on 2018/10/05.,I did swimming on 2018/10/05.\n29594,2018/10/05,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n29595,2018/10/05,I ate steak for lunch.,I ate steak for lunch.\n29596,2018/10/05,I ate sushi for dinner.,I ate sushi for dinner.\n29597,2018/10/05,\"I spent 28 talking to Avery, Lydia, Layla, Rylee on various topics in the late afternoon.\",\"I spent 28 talking to Avery, Lydia, Layla, Rylee on various topics in the late afternoon.\"\n29598,2018/10/05,\"I spent 21 talking to Nora, Lydia, Kinsley, Nevaeh on various topics during lunch hours.\",\"I spent 21 talking to Nora, Lydia, Kinsley, Nevaeh on various topics during lunch hours.\"\n29599,2018/10/05,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n29600,2018/10/05,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n29601,2018/10/06,I did running on 2018/10/06.,I did running on 2018/10/06.\n29602,2018/10/06,\"I had cereals for breakfast with Eva, Layla, Lydia, Olivia, Piper, Rylee, Piper\",\"I had cereals for breakfast with Eva, Layla, Lydia, Olivia, Piper, Rylee, Piper\"\n29603,2018/10/06,\"I had steak for lunch with Eva, Olivia, Hazel, Kinsley, Layla, Nora, Nevaeh, Lydia, Piper\",\"I had steak for lunch with Eva, Olivia, Hazel, Kinsley, Layla, Nora, Nevaeh, Lydia, Piper\"\n29604,2018/10/06,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n29605,2018/10/06,\"I spent 14 talking to Lydia, Claire, Avery, Layla on various topics in the morning.\",\"I spent 14 talking to Lydia, Claire, Avery, Layla on various topics in the morning.\"\n29606,2018/10/06,I talked to Layla for 48 minutes in the early evening.,I talked to Layla for 48 minutes in the early evening.\n29607,2018/10/06,\"I talked to Hazel, Kinsley for 53 minutes late in the evening.\",\"I talked to Hazel, Kinsley for 53 minutes late in the evening.\"\n29608,2018/10/06,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n29609,2018/10/06,I spent 27 minutes watching a movie on TV today.,I spent 27 minutes watching a movie on TV today.\n29610,2018/10/07,I did swimming on 2018/10/07.,I did swimming on 2018/10/07.\n29611,2018/10/07,\"I had oatmeal for breakfast with Lydia, Rylee\",\"I had oatmeal for breakfast with Lydia, Rylee\"\n29612,2018/10/07,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n29613,2018/10/07,I had tacos for dinner with Kayden,I had tacos for dinner with Kayden\n29614,2018/10/07,\"I talked to Nevaeh, Kinsley, Piper, Eva for 16 minutes during lunch hours.\",\"I talked to Nevaeh, Kinsley, Piper, Eva for 16 minutes during lunch hours.\"\n29615,2018/10/07,\"I spent 44 talking to Piper, Rylee, Piper, Hazel on various topics in the early evening.\",\"I spent 44 talking to Piper, Rylee, Piper, Hazel on various topics in the early evening.\"\n29616,2018/10/07,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n29617,2018/10/07,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n29618,2018/10/08,\"I was baking dessert nachos, peanut butter cookies on 2018/10/08 with Kayden, Andrew, Carter, Emily at my place\",\"I was baking dessert nachos, peanut butter cookies on 2018/10/08 with Kayden, Andrew, Carter, Emily at my place\"\n29619,2018/10/08,I did hiking on 2018/10/08.,I did hiking on 2018/10/08.\n29620,2018/10/08,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n29621,2018/10/08,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n29622,2018/10/08,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n29623,2018/10/08,\"I spent 12 talking to Piper, Olivia on various topics in the late afternoon.\",\"I spent 12 talking to Piper, Olivia on various topics in the late afternoon.\"\n29624,2018/10/08,\"I talked to Eva, Olivia for 9 minutes in the early afternoon.\",\"I talked to Eva, Olivia for 9 minutes in the early afternoon.\"\n29625,2018/10/08,\"I talked to Claire, Avery, Nora for 26 minutes in the early evening.\",\"I talked to Claire, Avery, Nora for 26 minutes in the early evening.\"\n29626,2018/10/08,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n29627,2018/10/08,I watched a documentary for 48 minutes on TV today.,I watched a documentary for 48 minutes on TV today.\n29628,2018/10/09,\"I went grocery shopping with Kayden, Carter. I bought some strawberries, clementines, watermelons, mineral water, and paper towel, toothbrush\",\"I went grocery shopping with Kayden, Carter. I bought some strawberries, clementines, watermelons, mineral water, and paper towel, toothbrush\"\n29629,2018/10/09,I did biking on 2018/10/09.,I did biking on 2018/10/09.\n29630,2018/10/09,\"I had breakfast with Emily, Andrew, Carter, Kayden. I ate cereals.\",\"I had breakfast with Emily, Andrew, Carter, Kayden. I ate cereals.\"\n29631,2018/10/09,I prepare pasta for lunch.,I prepare pasta for lunch.\n29632,2018/10/09,I prepare a burger for dinner.,I prepare a burger for dinner.\n29633,2018/10/09,\"I spent 14 talking to Lydia, Olivia, Piper, Hazel on various topics in the late afternoon.\",\"I spent 14 talking to Lydia, Olivia, Piper, Hazel on various topics in the late afternoon.\"\n29634,2018/10/09,\"I talked to Piper, Piper, Lydia, Nora for 22 minutes during lunch hours.\",\"I talked to Piper, Piper, Lydia, Nora for 22 minutes during lunch hours.\"\n29635,2018/10/09,I talked to Eva for 32 minutes late in the evening.,I talked to Eva for 32 minutes late in the evening.\n29636,2018/10/09,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n29637,2018/10/09,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n29638,2018/10/10,I did swimming on 2018/10/10.,I did swimming on 2018/10/10.\n29639,2018/10/10,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n29640,2018/10/10,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n29641,2018/10/10,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n29642,2018/10/10,\"I talked to Piper, Avery, Layla, Nora for 20 minutes in the early evening.\",\"I talked to Piper, Avery, Layla, Nora for 20 minutes in the early evening.\"\n29643,2018/10/10,\"I spent 54 talking to Eva, Olivia on various topics during lunch hours.\",\"I spent 54 talking to Eva, Olivia on various topics during lunch hours.\"\n29644,2018/10/10,\"I spent 41 talking to Nevaeh, Piper, Rylee, Claire on various topics in the morning.\",\"I spent 41 talking to Nevaeh, Piper, Rylee, Claire on various topics in the morning.\"\n29645,2018/10/10,\"I talked to Layla, Rylee for 28 minutes in the late afternoon.\",\"I talked to Layla, Rylee for 28 minutes in the late afternoon.\"\n29646,2018/10/10,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n29647,2018/10/10,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n29648,2018/10/11,I went on a date with Leo on 2018/10/11 at a restaurant,I went on a date with Leo on 2018/10/11 at a restaurant\n29649,2018/10/11,I did running on 2018/10/11.,I did running on 2018/10/11.\n29650,2018/10/11,\"I had cereals for breakfast with Carter, Kayden\",\"I had cereals for breakfast with Carter, Kayden\"\n29651,2018/10/11,\"I had steak for lunch with Nevaeh, Lydia, Kinsley, Eva, Rylee, Hazel, Piper, Nora, Olivia, Piper\",\"I had steak for lunch with Nevaeh, Lydia, Kinsley, Eva, Rylee, Hazel, Piper, Nora, Olivia, Piper\"\n29652,2018/10/11,I had dinner with Nevaeh. I ate indian food.,I had dinner with Nevaeh. I ate indian food.\n29653,2018/10/11,\"I spent 49 talking to Hazel, Rylee, Eva on various topics in the late afternoon.\",\"I spent 49 talking to Hazel, Rylee, Eva on various topics in the late afternoon.\"\n29654,2018/10/11,I talked to Nora for 5 minutes in the early afternoon.,I talked to Nora for 5 minutes in the early afternoon.\n29655,2018/10/11,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n29656,2018/10/11,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n29657,2018/10/12,I did biking on 2018/10/12.,I did biking on 2018/10/12.\n29658,2018/10/12,I had cereals for breakfast with Benjamin,I had cereals for breakfast with Benjamin\n29659,2018/10/12,I ate tacos for lunch.,I ate tacos for lunch.\n29660,2018/10/12,\"I had fish and chips for dinner with Emily, Kayden, Andrew, Carter\",\"I had fish and chips for dinner with Emily, Kayden, Andrew, Carter\"\n29661,2018/10/12,I talked to Rylee for 31 minutes in the morning.,I talked to Rylee for 31 minutes in the morning.\n29662,2018/10/12,I spent 9 talking to Lydia on various topics in the early afternoon.,I spent 9 talking to Lydia on various topics in the early afternoon.\n29663,2018/10/12,\"I talked to Layla, Nora for 35 minutes in the morning.\",\"I talked to Layla, Nora for 35 minutes in the morning.\"\n29664,2018/10/12,\"I talked to Nevaeh, Piper, Olivia for 52 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Olivia for 52 minutes in the early afternoon.\"\n29665,2018/10/12,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n29666,2018/10/12,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n29667,2018/10/13,\"I really enjoyed baking lemon meringue cookies on 2018/10/13 with Jackson, Avery at my place\",\"I really enjoyed baking lemon meringue cookies on 2018/10/13 with Jackson, Avery at my place\"\n29668,2018/10/13,I did hiking on 2018/10/13.,I did hiking on 2018/10/13.\n29669,2018/10/13,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n29670,2018/10/13,I ate chinese food for lunch.,I ate chinese food for lunch.\n29671,2018/10/13,\"I had steak for dinner with Benjamin, Willow, Avery, Jackson\",\"I had steak for dinner with Benjamin, Willow, Avery, Jackson\"\n29672,2018/10/13,I spent 5 talking to Kinsley on various topics in the early afternoon.,I spent 5 talking to Kinsley on various topics in the early afternoon.\n29673,2018/10/13,\"I talked to Kinsley, Olivia, Hazel for 31 minutes during lunch hours.\",\"I talked to Kinsley, Olivia, Hazel for 31 minutes during lunch hours.\"\n29674,2018/10/13,\"I spent 38 talking to Nora, Piper, Hazel, Layla on various topics in the late afternoon.\",\"I spent 38 talking to Nora, Piper, Hazel, Layla on various topics in the late afternoon.\"\n29675,2018/10/13,\"I spent 6 talking to Rylee, Avery on various topics in the late afternoon.\",\"I spent 6 talking to Rylee, Avery on various topics in the late afternoon.\"\n29676,2018/10/13,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n29677,2018/10/13,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n29678,2018/10/14,\"I bought some blueberries, pineapples, mineral water, mango juice, soda, toothbrush, paper towel, conditioner from the grocery store. I saw Kayden, Andrew, Emily at the grocery store.\",\"I bought some blueberries, pineapples, mineral water, mango juice, soda, toothbrush, paper towel, conditioner from the grocery store. I saw Kayden, Andrew, Emily at the grocery store.\"\n29679,2018/10/14,I did running on 2018/10/14.,I did running on 2018/10/14.\n29680,2018/10/14,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n29681,2018/10/14,\"I had sandwich for lunch with Lydia, Rylee, Kinsley, Piper\",\"I had sandwich for lunch with Lydia, Rylee, Kinsley, Piper\"\n29682,2018/10/14,I ate tacos for dinner.,I ate tacos for dinner.\n29683,2018/10/14,I spent 41 talking to Kinsley on various topics in the morning.,I spent 41 talking to Kinsley on various topics in the morning.\n29684,2018/10/14,\"I spent 36 talking to Nora, Piper on various topics during lunch hours.\",\"I spent 36 talking to Nora, Piper on various topics during lunch hours.\"\n29685,2018/10/14,\"I spent 11 talking to Olivia, Nevaeh, Nora, Layla on various topics in the morning.\",\"I spent 11 talking to Olivia, Nevaeh, Nora, Layla on various topics in the morning.\"\n29686,2018/10/14,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n29687,2018/10/14,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n29688,2018/10/15,I did weight lifting on 2018/10/15.,I did weight lifting on 2018/10/15.\n29689,2018/10/15,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n29690,2018/10/15,\"I had lunch with Benjamin, Willow, Jackson. I ate steak.\",\"I had lunch with Benjamin, Willow, Jackson. I ate steak.\"\n29691,2018/10/15,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n29692,2018/10/15,I spent 11 talking to Nora on various topics in the early afternoon.,I spent 11 talking to Nora on various topics in the early afternoon.\n29693,2018/10/15,I talked to Kinsley for 20 minutes late in the evening.,I talked to Kinsley for 20 minutes late in the evening.\n29694,2018/10/15,\"I talked to Piper, Hazel, Rylee for 50 minutes during lunch hours.\",\"I talked to Piper, Hazel, Rylee for 50 minutes during lunch hours.\"\n29695,2018/10/15,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n29696,2018/10/15,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n29697,2018/10/16,I did swimming on 2018/10/16.,I did swimming on 2018/10/16.\n29698,2018/10/16,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n29699,2018/10/16,I ate steak for lunch.,I ate steak for lunch.\n29700,2018/10/16,I ate tacos for dinner.,I ate tacos for dinner.\n29701,2018/10/16,\"I spent 24 talking to Eva, Hazel, Layla, Olivia on various topics in the late afternoon.\",\"I spent 24 talking to Eva, Hazel, Layla, Olivia on various topics in the late afternoon.\"\n29702,2018/10/16,\"I talked to Rylee, Piper for 8 minutes in the early afternoon.\",\"I talked to Rylee, Piper for 8 minutes in the early afternoon.\"\n29703,2018/10/16,I spent 11 talking to Claire on various topics late in the evening.,I spent 11 talking to Claire on various topics late in the evening.\n29704,2018/10/16,I spent 10 talking to Piper on various topics during lunch hours.,I spent 10 talking to Piper on various topics during lunch hours.\n29705,2018/10/16,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n29706,2018/10/16,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n29707,2018/10/17,\"I went grocery shopping with Nevaeh, Piper, Piper, Layla, Kinsley, Avery, Olivia, Nora, Lydia. I bought some mandarins, bananas, strawberries, mango juice, mineral water, guava juice, and toothbrush\",\"I went grocery shopping with Nevaeh, Piper, Piper, Layla, Kinsley, Avery, Olivia, Nora, Lydia. I bought some mandarins, bananas, strawberries, mango juice, mineral water, guava juice, and toothbrush\"\n29708,2018/10/17,I did biking on 2018/10/17.,I did biking on 2018/10/17.\n29709,2018/10/17,\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate oatmeal.\",\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate oatmeal.\"\n29710,2018/10/17,I prepare sushi for lunch.,I prepare sushi for lunch.\n29711,2018/10/17,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n29712,2018/10/17,\"I spent 28 talking to Layla, Hazel on various topics during lunch hours.\",\"I spent 28 talking to Layla, Hazel on various topics during lunch hours.\"\n29713,2018/10/17,\"I talked to Olivia, Nora, Lydia, Rylee for 26 minutes in the late afternoon.\",\"I talked to Olivia, Nora, Lydia, Rylee for 26 minutes in the late afternoon.\"\n29714,2018/10/17,\"I talked to Piper, Piper for 49 minutes in the early afternoon.\",\"I talked to Piper, Piper for 49 minutes in the early afternoon.\"\n29715,2018/10/17,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n29716,2018/10/17,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n29717,2018/10/18,\"On 2018/10/18, I took Brooklyn on a date to a boba shop\",\"On 2018/10/18, I took Brooklyn on a date to a boba shop\"\n29718,2018/10/18,\"I went grocery shopping. I bought some cherres, guava juice, and toothbrush, shaving cream, toilet paper\",\"I went grocery shopping. I bought some cherres, guava juice, and toothbrush, shaving cream, toilet paper\"\n29719,2018/10/18,I did biking on 2018/10/18.,I did biking on 2018/10/18.\n29720,2018/10/18,I had peanut-butter-jam for breakfast with Kayden,I had peanut-butter-jam for breakfast with Kayden\n29721,2018/10/18,\"I had lunch with Jackson, Willow. I ate sushi.\",\"I had lunch with Jackson, Willow. I ate sushi.\"\n29722,2018/10/18,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n29723,2018/10/18,\"I spent 8 talking to Eva, Kinsley, Nevaeh, Avery on various topics in the early evening.\",\"I spent 8 talking to Eva, Kinsley, Nevaeh, Avery on various topics in the early evening.\"\n29724,2018/10/18,\"I talked to Avery, Hazel, Kinsley for 11 minutes in the early afternoon.\",\"I talked to Avery, Hazel, Kinsley for 11 minutes in the early afternoon.\"\n29725,2018/10/18,\"I talked to Olivia, Lydia, Avery, Nora for 26 minutes during lunch hours.\",\"I talked to Olivia, Lydia, Avery, Nora for 26 minutes during lunch hours.\"\n29726,2018/10/18,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n29727,2018/10/18,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n29728,2018/10/19,\"I really enjoyed baking blackberry-raspberry skillet cobbler, blackberry jam pie-crust straws, chocolate skillet cake on 2018/10/19 with Claire, Nora at my place\",\"I really enjoyed baking blackberry-raspberry skillet cobbler, blackberry jam pie-crust straws, chocolate skillet cake on 2018/10/19 with Claire, Nora at my place\"\n29729,2018/10/19,I did swimming on 2018/10/19.,I did swimming on 2018/10/19.\n29730,2018/10/19,\"I had breakfast with Kinsley, Nora, Piper, Piper, Rylee, Eva, Lydia. I ate eggs, sausages, and bread.\",\"I had breakfast with Kinsley, Nora, Piper, Piper, Rylee, Eva, Lydia. I ate eggs, sausages, and bread.\"\n29731,2018/10/19,\"I had lunch with Claire, Avery, Lydia, Rylee, Layla, Eva, Piper, Hazel, Olivia, Nora. I ate fish and chips.\",\"I had lunch with Claire, Avery, Lydia, Rylee, Layla, Eva, Piper, Hazel, Olivia, Nora. I ate fish and chips.\"\n29732,2018/10/19,\"I had dinner with Willow, Benjamin, Avery, Jackson. I ate fish and chips.\",\"I had dinner with Willow, Benjamin, Avery, Jackson. I ate fish and chips.\"\n29733,2018/10/19,\"I spent 35 talking to Hazel, Piper, Lydia on various topics late in the evening.\",\"I spent 35 talking to Hazel, Piper, Lydia on various topics late in the evening.\"\n29734,2018/10/19,\"I talked to Olivia, Avery for 46 minutes in the morning.\",\"I talked to Olivia, Avery for 46 minutes in the morning.\"\n29735,2018/10/19,\"I spent 17 talking to Nora, Piper on various topics during lunch hours.\",\"I spent 17 talking to Nora, Piper on various topics during lunch hours.\"\n29736,2018/10/19,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n29737,2018/10/19,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n29738,2018/10/20,I did running on 2018/10/20.,I did running on 2018/10/20.\n29739,2018/10/20,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n29740,2018/10/20,I prepare indian food for lunch.,I prepare indian food for lunch.\n29741,2018/10/20,I ate sandwich for dinner.,I ate sandwich for dinner.\n29742,2018/10/20,\"I talked to Nevaeh, Layla, Avery for 23 minutes in the early evening.\",\"I talked to Nevaeh, Layla, Avery for 23 minutes in the early evening.\"\n29743,2018/10/20,\"I talked to Nora, Avery, Nevaeh, Piper for 13 minutes in the early afternoon.\",\"I talked to Nora, Avery, Nevaeh, Piper for 13 minutes in the early afternoon.\"\n29744,2018/10/20,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n29745,2018/10/20,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n29746,2018/10/21,I did swimming on 2018/10/21.,I did swimming on 2018/10/21.\n29747,2018/10/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n29748,2018/10/21,I ate tacos for lunch.,I ate tacos for lunch.\n29749,2018/10/21,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n29750,2018/10/21,I spent 46 talking to Rylee on various topics in the late afternoon.,I spent 46 talking to Rylee on various topics in the late afternoon.\n29751,2018/10/21,I spent 24 talking to Avery on various topics in the morning.,I spent 24 talking to Avery on various topics in the morning.\n29752,2018/10/21,\"I talked to Rylee, Nevaeh for 53 minutes in the early evening.\",\"I talked to Rylee, Nevaeh for 53 minutes in the early evening.\"\n29753,2018/10/21,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n29754,2018/10/21,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n29755,2018/10/22,\"I was baking brown sugar-pear puff pastries on 2018/10/22 with Emily, Kayden, Carter, Andrew at my place\",\"I was baking brown sugar-pear puff pastries on 2018/10/22 with Emily, Kayden, Carter, Andrew at my place\"\n29756,2018/10/22,I did biking on 2018/10/22.,I did biking on 2018/10/22.\n29757,2018/10/22,I had breakfast with Emily. I ate peanut-butter-jam.,I had breakfast with Emily. I ate peanut-butter-jam.\n29758,2018/10/22,\"I had lunch with Layla, Nevaeh, Eva, Piper, Rylee, Kinsley. I ate a burger.\",\"I had lunch with Layla, Nevaeh, Eva, Piper, Rylee, Kinsley. I ate a burger.\"\n29759,2018/10/22,I ate pasta for dinner.,I ate pasta for dinner.\n29760,2018/10/22,I talked to Piper for 8 minutes in the early afternoon.,I talked to Piper for 8 minutes in the early afternoon.\n29761,2018/10/22,\"I spent 43 talking to Avery, Eva, Piper, Hazel on various topics in the early evening.\",\"I spent 43 talking to Avery, Eva, Piper, Hazel on various topics in the early evening.\"\n29762,2018/10/22,\"I talked to Kinsley, Lydia, Layla, Avery for 14 minutes in the early afternoon.\",\"I talked to Kinsley, Lydia, Layla, Avery for 14 minutes in the early afternoon.\"\n29763,2018/10/22,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n29764,2018/10/22,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n29765,2018/10/23,I did hiking on 2018/10/23.,I did hiking on 2018/10/23.\n29766,2018/10/23,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n29767,2018/10/23,\"I had lunch with Emily, Carter, Kayden. I ate chinese food.\",\"I had lunch with Emily, Carter, Kayden. I ate chinese food.\"\n29768,2018/10/23,\"I had indian food for dinner with Carter, Andrew, Kayden, Emily\",\"I had indian food for dinner with Carter, Andrew, Kayden, Emily\"\n29769,2018/10/23,\"I talked to Eva, Rylee for 41 minutes in the morning.\",\"I talked to Eva, Rylee for 41 minutes in the morning.\"\n29770,2018/10/23,\"I spent 21 talking to Nora, Layla on various topics in the morning.\",\"I spent 21 talking to Nora, Layla on various topics in the morning.\"\n29771,2018/10/23,\"I spent 48 talking to Piper, Lydia, Olivia, Nora on various topics in the late afternoon.\",\"I spent 48 talking to Piper, Lydia, Olivia, Nora on various topics in the late afternoon.\"\n29772,2018/10/23,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n29773,2018/10/23,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n29774,2018/10/24,\"On 2018/10/24, I took Joshua on a date to a coffee Shop\",\"On 2018/10/24, I took Joshua on a date to a coffee Shop\"\n29775,2018/10/24,I did HIIT on 2018/10/24.,I did HIIT on 2018/10/24.\n29776,2018/10/24,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n29777,2018/10/24,I had indian food for lunch with Carter,I had indian food for lunch with Carter\n29778,2018/10/24,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n29779,2018/10/24,\"I spent 7 talking to Eva, Piper on various topics in the late afternoon.\",\"I spent 7 talking to Eva, Piper on various topics in the late afternoon.\"\n29780,2018/10/24,\"I talked to Olivia, Nevaeh for 12 minutes during lunch hours.\",\"I talked to Olivia, Nevaeh for 12 minutes during lunch hours.\"\n29781,2018/10/24,\"I spent 20 talking to Nevaeh, Nora, Lydia, Avery on various topics in the morning.\",\"I spent 20 talking to Nevaeh, Nora, Lydia, Avery on various topics in the morning.\"\n29782,2018/10/24,\"I spent 12 talking to Nora, Hazel, Avery on various topics in the early evening.\",\"I spent 12 talking to Nora, Hazel, Avery on various topics in the early evening.\"\n29783,2018/10/24,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n29784,2018/10/24,I spent 29 minutes watching a documentary on TV today.,I spent 29 minutes watching a documentary on TV today.\n29785,2018/10/25,\"On 2018/10/25, I took Kai on a date to a restaurant\",\"On 2018/10/25, I took Kai on a date to a restaurant\"\n29786,2018/10/25,I did running on 2018/10/25.,I did running on 2018/10/25.\n29787,2018/10/25,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n29788,2018/10/25,I prepare tacos for lunch.,I prepare tacos for lunch.\n29789,2018/10/25,\"I had sandwich for dinner with Andrew, Kayden, Emily\",\"I had sandwich for dinner with Andrew, Kayden, Emily\"\n29790,2018/10/25,\"I talked to Lydia, Piper, Nora for 17 minutes in the early evening.\",\"I talked to Lydia, Piper, Nora for 17 minutes in the early evening.\"\n29791,2018/10/25,I talked to Piper for 12 minutes in the early afternoon.,I talked to Piper for 12 minutes in the early afternoon.\n29792,2018/10/25,\"I talked to Nora, Rylee, Olivia, Kinsley for 38 minutes during lunch hours.\",\"I talked to Nora, Rylee, Olivia, Kinsley for 38 minutes during lunch hours.\"\n29793,2018/10/25,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n29794,2018/10/25,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n29795,2018/10/26,\"I was cooking contest-winning broccoli chicken casserole, cashew chicken , poke on 2018/10/26 with Piper at my place\",\"I was cooking contest-winning broccoli chicken casserole, cashew chicken , poke on 2018/10/26 with Piper at my place\"\n29796,2018/10/26,I did swimming on 2018/10/26.,I did swimming on 2018/10/26.\n29797,2018/10/26,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n29798,2018/10/26,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n29799,2018/10/26,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n29800,2018/10/26,\"I spent 40 talking to Lydia, Piper, Layla, Piper on various topics in the early afternoon.\",\"I spent 40 talking to Lydia, Piper, Layla, Piper on various topics in the early afternoon.\"\n29801,2018/10/26,\"I spent 27 talking to Rylee, Nora, Claire on various topics in the morning.\",\"I spent 27 talking to Rylee, Nora, Claire on various topics in the morning.\"\n29802,2018/10/26,\"I talked to Rylee, Nora, Nevaeh, Piper for 7 minutes in the late afternoon.\",\"I talked to Rylee, Nora, Nevaeh, Piper for 7 minutes in the late afternoon.\"\n29803,2018/10/26,\"I talked to Hazel, Nora for 24 minutes in the morning.\",\"I talked to Hazel, Nora for 24 minutes in the morning.\"\n29804,2018/10/26,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n29805,2018/10/26,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n29806,2018/10/27,I did HIIT on 2018/10/27.,I did HIIT on 2018/10/27.\n29807,2018/10/27,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n29808,2018/10/27,\"I had a burger for lunch with Kayden, Carter\",\"I had a burger for lunch with Kayden, Carter\"\n29809,2018/10/27,\"I had indian food for dinner with Claire, Olivia\",\"I had indian food for dinner with Claire, Olivia\"\n29810,2018/10/27,\"I spent 18 talking to Claire, Nevaeh, Piper, Avery on various topics during lunch hours.\",\"I spent 18 talking to Claire, Nevaeh, Piper, Avery on various topics during lunch hours.\"\n29811,2018/10/27,\"I spent 45 talking to Piper, Piper, Nevaeh, Kinsley on various topics during lunch hours.\",\"I spent 45 talking to Piper, Piper, Nevaeh, Kinsley on various topics during lunch hours.\"\n29812,2018/10/27,\"I spent 21 talking to Nevaeh, Claire on various topics during lunch hours.\",\"I spent 21 talking to Nevaeh, Claire on various topics during lunch hours.\"\n29813,2018/10/27,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n29814,2018/10/27,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n29815,2018/10/28,\"I went grocery shopping. I bought some raspberries, blueberries, coffee, tea, apple juice, and toothpaste, mouth wash, toothbrush, body lotion\",\"I went grocery shopping. I bought some raspberries, blueberries, coffee, tea, apple juice, and toothpaste, mouth wash, toothbrush, body lotion\"\n29816,2018/10/28,I did hiking on 2018/10/28.,I did hiking on 2018/10/28.\n29817,2018/10/28,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n29818,2018/10/28,\"I had lunch with Carter, Andrew. I ate a burger.\",\"I had lunch with Carter, Andrew. I ate a burger.\"\n29819,2018/10/28,\"I had a burger for dinner with Carter, Emily, Kayden, Andrew\",\"I had a burger for dinner with Carter, Emily, Kayden, Andrew\"\n29820,2018/10/28,I talked to Layla for 42 minutes during lunch hours.,I talked to Layla for 42 minutes during lunch hours.\n29821,2018/10/28,\"I spent 20 talking to Kinsley, Layla on various topics in the late afternoon.\",\"I spent 20 talking to Kinsley, Layla on various topics in the late afternoon.\"\n29822,2018/10/28,I talked to Nevaeh for 26 minutes in the late afternoon.,I talked to Nevaeh for 26 minutes in the late afternoon.\n29823,2018/10/28,I talked to Rylee for 16 minutes during lunch hours.,I talked to Rylee for 16 minutes during lunch hours.\n29824,2018/10/28,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n29825,2018/10/28,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n29826,2018/10/29,I did HIIT on 2018/10/29.,I did HIIT on 2018/10/29.\n29827,2018/10/29,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n29828,2018/10/29,I prepare pasta for lunch.,I prepare pasta for lunch.\n29829,2018/10/29,I ate tacos for dinner.,I ate tacos for dinner.\n29830,2018/10/29,\"I talked to Avery, Kinsley, Piper for 33 minutes in the early evening.\",\"I talked to Avery, Kinsley, Piper for 33 minutes in the early evening.\"\n29831,2018/10/29,\"I talked to Hazel, Layla, Rylee for 6 minutes in the early evening.\",\"I talked to Hazel, Layla, Rylee for 6 minutes in the early evening.\"\n29832,2018/10/29,\"I talked to Olivia, Rylee, Nora, Layla for 50 minutes in the early afternoon.\",\"I talked to Olivia, Rylee, Nora, Layla for 50 minutes in the early afternoon.\"\n29833,2018/10/29,\"I talked to Nora, Olivia, Rylee for 14 minutes in the early evening.\",\"I talked to Nora, Olivia, Rylee for 14 minutes in the early evening.\"\n29834,2018/10/29,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n29835,2018/10/29,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n29836,2018/10/30,I did swimming on 2018/10/30.,I did swimming on 2018/10/30.\n29837,2018/10/30,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n29838,2018/10/30,\"I had fish and chips for lunch with Andrew, Carter, Emily\",\"I had fish and chips for lunch with Andrew, Carter, Emily\"\n29839,2018/10/30,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n29840,2018/10/30,\"I talked to Hazel, Rylee, Nora for 12 minutes in the morning.\",\"I talked to Hazel, Rylee, Nora for 12 minutes in the morning.\"\n29841,2018/10/30,\"I talked to Rylee, Nevaeh for 9 minutes in the morning.\",\"I talked to Rylee, Nevaeh for 9 minutes in the morning.\"\n29842,2018/10/30,I talked to Piper for 47 minutes during lunch hours.,I talked to Piper for 47 minutes during lunch hours.\n29843,2018/10/30,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n29844,2018/10/30,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n29845,2018/10/31,I went on a date with Eva on 2018/10/31 at a boba shop,I went on a date with Eva on 2018/10/31 at a boba shop\n29846,2018/10/31,\"I bought some mandarins, bananas, mangos, clementines, mango juice, soda, orange juice, body lotion online.\",\"I bought some mandarins, bananas, mangos, clementines, mango juice, soda, orange juice, body lotion online.\"\n29847,2018/10/31,I did HIIT on 2018/10/31.,I did HIIT on 2018/10/31.\n29848,2018/10/31,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n29849,2018/10/31,\"I had sandwich for lunch with Andrew, Emily, Carter, Kayden\",\"I had sandwich for lunch with Andrew, Emily, Carter, Kayden\"\n29850,2018/10/31,I ate sushi for dinner.,I ate sushi for dinner.\n29851,2018/10/31,\"I spent 21 talking to Nora, Claire, Layla on various topics in the early afternoon.\",\"I spent 21 talking to Nora, Claire, Layla on various topics in the early afternoon.\"\n29852,2018/10/31,I spent 44 talking to Layla on various topics during lunch hours.,I spent 44 talking to Layla on various topics during lunch hours.\n29853,2018/10/31,\"I spent 44 talking to Layla, Rylee, Olivia on various topics in the early afternoon.\",\"I spent 44 talking to Layla, Rylee, Olivia on various topics in the early afternoon.\"\n29854,2018/10/31,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n29855,2018/10/31,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n29856,2018/11/01,\"I went grocery shopping with Willow, Benjamin, Avery. I bought some nectarines, mangos, pineapple juice, milk, orange juice, and conditioner, body lotion, facial wash\",\"I went grocery shopping with Willow, Benjamin, Avery. I bought some nectarines, mangos, pineapple juice, milk, orange juice, and conditioner, body lotion, facial wash\"\n29857,2018/11/01,I did hiking on 2018/11/01.,I did hiking on 2018/11/01.\n29858,2018/11/01,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n29859,2018/11/01,I prepare pasta for lunch.,I prepare pasta for lunch.\n29860,2018/11/01,I prepare tacos for dinner.,I prepare tacos for dinner.\n29861,2018/11/01,I spent 16 talking to Nevaeh on various topics in the late afternoon.,I spent 16 talking to Nevaeh on various topics in the late afternoon.\n29862,2018/11/01,\"I spent 18 talking to Avery, Rylee, Kinsley, Hazel on various topics in the morning.\",\"I spent 18 talking to Avery, Rylee, Kinsley, Hazel on various topics in the morning.\"\n29863,2018/11/01,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n29864,2018/11/01,I watched news for 36 minutes on TV today.,I watched news for 36 minutes on TV today.\n29865,2018/11/02,I did hiking on 2018/11/02.,I did hiking on 2018/11/02.\n29866,2018/11/02,\"I had pancakes for breakfast with Hazel, Nevaeh, Nora, Kinsley, Piper, Olivia, Piper, Layla, Rylee, Claire\",\"I had pancakes for breakfast with Hazel, Nevaeh, Nora, Kinsley, Piper, Olivia, Piper, Layla, Rylee, Claire\"\n29867,2018/11/02,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n29868,2018/11/02,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n29869,2018/11/02,I spent 49 talking to Lydia on various topics in the early afternoon.,I spent 49 talking to Lydia on various topics in the early afternoon.\n29870,2018/11/02,I talked to Rylee for 25 minutes during lunch hours.,I talked to Rylee for 25 minutes during lunch hours.\n29871,2018/11/02,I spent 22 talking to Kinsley on various topics in the early evening.,I spent 22 talking to Kinsley on various topics in the early evening.\n29872,2018/11/02,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n29873,2018/11/02,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n29874,2018/11/03,I did weight lifting on 2018/11/03.,I did weight lifting on 2018/11/03.\n29875,2018/11/03,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n29876,2018/11/03,\"I had lunch with Kinsley, Nora, Layla, Claire, Piper, Avery, Nevaeh, Rylee, Piper. I ate a burger.\",\"I had lunch with Kinsley, Nora, Layla, Claire, Piper, Avery, Nevaeh, Rylee, Piper. I ate a burger.\"\n29877,2018/11/03,I had indian food for dinner with Emily,I had indian food for dinner with Emily\n29878,2018/11/03,\"I talked to Piper, Hazel, Eva for 7 minutes late in the evening.\",\"I talked to Piper, Hazel, Eva for 7 minutes late in the evening.\"\n29879,2018/11/03,I spent 48 talking to Rylee on various topics in the early afternoon.,I spent 48 talking to Rylee on various topics in the early afternoon.\n29880,2018/11/03,\"I talked to Kinsley, Olivia, Hazel, Eva for 35 minutes in the morning.\",\"I talked to Kinsley, Olivia, Hazel, Eva for 35 minutes in the morning.\"\n29881,2018/11/03,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n29882,2018/11/03,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n29883,2018/11/04,\"I spent time yoga on 2018/11/04 with Andrew, Emily, Carter.\",\"I spent time yoga on 2018/11/04 with Andrew, Emily, Carter.\"\n29884,2018/11/04,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n29885,2018/11/04,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n29886,2018/11/04,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n29887,2018/11/04,\"I spent 47 talking to Hazel, Claire on various topics late in the evening.\",\"I spent 47 talking to Hazel, Claire on various topics late in the evening.\"\n29888,2018/11/04,\"I spent 16 talking to Piper, Avery, Olivia on various topics late in the evening.\",\"I spent 16 talking to Piper, Avery, Olivia on various topics late in the evening.\"\n29889,2018/11/04,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n29890,2018/11/04,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n29891,2018/11/05,I did biking on 2018/11/05.,I did biking on 2018/11/05.\n29892,2018/11/05,\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate peanut-butter-jam.\"\n29893,2018/11/05,\"I had fish and chips for lunch with Nevaeh, Piper, Olivia, Nora, Piper, Avery, Rylee, Claire, Eva, Lydia, Layla, Hazel, Kinsley\",\"I had fish and chips for lunch with Nevaeh, Piper, Olivia, Nora, Piper, Avery, Rylee, Claire, Eva, Lydia, Layla, Hazel, Kinsley\"\n29894,2018/11/05,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n29895,2018/11/05,\"I talked to Piper, Rylee, Olivia, Avery for 41 minutes during lunch hours.\",\"I talked to Piper, Rylee, Olivia, Avery for 41 minutes during lunch hours.\"\n29896,2018/11/05,\"I talked to Olivia, Nevaeh for 15 minutes in the early evening.\",\"I talked to Olivia, Nevaeh for 15 minutes in the early evening.\"\n29897,2018/11/05,\"I talked to Olivia, Rylee for 13 minutes late in the evening.\",\"I talked to Olivia, Rylee for 13 minutes late in the evening.\"\n29898,2018/11/05,\"I spent 17 talking to Layla, Nora, Kinsley, Hazel on various topics in the morning.\",\"I spent 17 talking to Layla, Nora, Kinsley, Hazel on various topics in the morning.\"\n29899,2018/11/05,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n29900,2018/11/05,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n29901,2018/11/06,\"I bought some clementines, guava, chocolate milk, toothpaste, conditioner from the grocery store. I saw Kinsley, Nora at the grocery store.\",\"I bought some clementines, guava, chocolate milk, toothpaste, conditioner from the grocery store. I saw Kinsley, Nora at the grocery store.\"\n29902,2018/11/06,I did running on 2018/11/06.,I did running on 2018/11/06.\n29903,2018/11/06,\"I had breakfast with Hazel, Eva, Nevaeh. I ate pancakes.\",\"I had breakfast with Hazel, Eva, Nevaeh. I ate pancakes.\"\n29904,2018/11/06,I ate sandwich for lunch.,I ate sandwich for lunch.\n29905,2018/11/06,I ate tacos for dinner.,I ate tacos for dinner.\n29906,2018/11/06,\"I talked to Nora, Kinsley, Piper, Layla for 41 minutes in the late afternoon.\",\"I talked to Nora, Kinsley, Piper, Layla for 41 minutes in the late afternoon.\"\n29907,2018/11/06,\"I talked to Piper, Claire, Avery, Layla for 28 minutes in the morning.\",\"I talked to Piper, Claire, Avery, Layla for 28 minutes in the morning.\"\n29908,2018/11/06,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n29909,2018/11/06,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n29910,2018/11/07,I went on a date with Emma on 2018/11/07 at a restaurant,I went on a date with Emma on 2018/11/07 at a restaurant\n29911,2018/11/07,I did biking on 2018/11/07.,I did biking on 2018/11/07.\n29912,2018/11/07,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n29913,2018/11/07,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n29914,2018/11/07,I had dinner with Kinsley. I ate pasta.,I had dinner with Kinsley. I ate pasta.\n29915,2018/11/07,\"I spent 27 talking to Olivia, Hazel, Nora, Lydia on various topics in the morning.\",\"I spent 27 talking to Olivia, Hazel, Nora, Lydia on various topics in the morning.\"\n29916,2018/11/07,I talked to Eva for 54 minutes in the early evening.,I talked to Eva for 54 minutes in the early evening.\n29917,2018/11/07,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n29918,2018/11/07,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n29919,2018/11/08,I did swimming on 2018/11/08.,I did swimming on 2018/11/08.\n29920,2018/11/08,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n29921,2018/11/08,I had fish and chips for lunch with Andrew,I had fish and chips for lunch with Andrew\n29922,2018/11/08,I prepare a burger for dinner.,I prepare a burger for dinner.\n29923,2018/11/08,\"I spent 10 talking to Kinsley, Piper on various topics during lunch hours.\",\"I spent 10 talking to Kinsley, Piper on various topics during lunch hours.\"\n29924,2018/11/08,\"I spent 41 talking to Nevaeh, Olivia, Piper, Layla on various topics in the early afternoon.\",\"I spent 41 talking to Nevaeh, Olivia, Piper, Layla on various topics in the early afternoon.\"\n29925,2018/11/08,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n29926,2018/11/08,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n29927,2018/11/09,\"I went grocery shopping with Lydia, Hazel, Nevaeh, Eva. I bought some peaches, bananas, strawberries, tea, mineral water, and toilet paper, paper towel, mouth wash, mouthwash\",\"I went grocery shopping with Lydia, Hazel, Nevaeh, Eva. I bought some peaches, bananas, strawberries, tea, mineral water, and toilet paper, paper towel, mouth wash, mouthwash\"\n29928,2018/11/09,I did running on 2018/11/09.,I did running on 2018/11/09.\n29929,2018/11/09,\"I had breakfast with Olivia, Piper, Nevaeh, Lydia, Avery, Rylee. I ate peanut-butter-jam.\",\"I had breakfast with Olivia, Piper, Nevaeh, Lydia, Avery, Rylee. I ate peanut-butter-jam.\"\n29930,2018/11/09,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n29931,2018/11/09,\"I had dinner with Kayden, Emily. I ate fish and chips.\",\"I had dinner with Kayden, Emily. I ate fish and chips.\"\n29932,2018/11/09,\"I talked to Avery, Eva, Hazel, Rylee for 27 minutes in the early evening.\",\"I talked to Avery, Eva, Hazel, Rylee for 27 minutes in the early evening.\"\n29933,2018/11/09,I spent 36 talking to Kinsley on various topics during lunch hours.,I spent 36 talking to Kinsley on various topics during lunch hours.\n29934,2018/11/09,I spent 27 talking to Eva on various topics in the early afternoon.,I spent 27 talking to Eva on various topics in the early afternoon.\n29935,2018/11/09,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n29936,2018/11/09,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n29937,2018/11/10,I went on a date with Ezekiel on 2018/11/10 at a boba shop,I went on a date with Ezekiel on 2018/11/10 at a boba shop\n29938,2018/11/10,I spent time working out on 2018/11/10 with Andrew.,I spent time working out on 2018/11/10 with Andrew.\n29939,2018/11/10,I did running on 2018/11/10.,I did running on 2018/11/10.\n29940,2018/11/10,\"I had breakfast with Avery, Willow, Jackson, Benjamin. I ate toast and cheese.\",\"I had breakfast with Avery, Willow, Jackson, Benjamin. I ate toast and cheese.\"\n29941,2018/11/10,I ate chinese food for lunch.,I ate chinese food for lunch.\n29942,2018/11/10,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n29943,2018/11/10,\"I spent 24 talking to Piper, Nevaeh, Olivia, Kinsley on various topics late in the evening.\",\"I spent 24 talking to Piper, Nevaeh, Olivia, Kinsley on various topics late in the evening.\"\n29944,2018/11/10,\"I spent 22 talking to Hazel, Olivia, Lydia, Rylee on various topics in the morning.\",\"I spent 22 talking to Hazel, Olivia, Lydia, Rylee on various topics in the morning.\"\n29945,2018/11/10,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n29946,2018/11/10,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n29947,2018/11/11,I did running on 2018/11/11.,I did running on 2018/11/11.\n29948,2018/11/11,\"I had breakfast with Kayden, Emily, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Emily, Carter. I ate eggs, sausages, and bread.\"\n29949,2018/11/11,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n29950,2018/11/11,I prepare a burger for dinner.,I prepare a burger for dinner.\n29951,2018/11/11,I talked to Piper for 19 minutes late in the evening.,I talked to Piper for 19 minutes late in the evening.\n29952,2018/11/11,\"I talked to Nevaeh, Claire for 28 minutes in the late afternoon.\",\"I talked to Nevaeh, Claire for 28 minutes in the late afternoon.\"\n29953,2018/11/11,I talked to Hazel for 35 minutes in the morning.,I talked to Hazel for 35 minutes in the morning.\n29954,2018/11/11,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n29955,2018/11/11,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n29956,2018/11/12,I did hiking on 2018/11/12.,I did hiking on 2018/11/12.\n29957,2018/11/12,\"I had breakfast with Eva, Kinsley, Claire, Nora, Piper. I ate oatmeal.\",\"I had breakfast with Eva, Kinsley, Claire, Nora, Piper. I ate oatmeal.\"\n29958,2018/11/12,I ate steak for lunch.,I ate steak for lunch.\n29959,2018/11/12,I prepare a burger for dinner.,I prepare a burger for dinner.\n29960,2018/11/12,\"I spent 42 talking to Layla, Eva, Claire, Kinsley on various topics in the late afternoon.\",\"I spent 42 talking to Layla, Eva, Claire, Kinsley on various topics in the late afternoon.\"\n29961,2018/11/12,\"I talked to Layla, Eva, Rylee, Olivia for 5 minutes late in the evening.\",\"I talked to Layla, Eva, Rylee, Olivia for 5 minutes late in the evening.\"\n29962,2018/11/12,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n29963,2018/11/12,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n29964,2018/11/13,I did hiking on 2018/11/13.,I did hiking on 2018/11/13.\n29965,2018/11/13,\"I had breakfast with Eva, Nora. I ate eggs, sausages, and bread.\",\"I had breakfast with Eva, Nora. I ate eggs, sausages, and bread.\"\n29966,2018/11/13,I had lunch. I ate steak.,I had lunch. I ate steak.\n29967,2018/11/13,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n29968,2018/11/13,I spent 15 talking to Nevaeh on various topics in the early afternoon.,I spent 15 talking to Nevaeh on various topics in the early afternoon.\n29969,2018/11/13,I talked to Olivia for 31 minutes in the early afternoon.,I talked to Olivia for 31 minutes in the early afternoon.\n29970,2018/11/13,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n29971,2018/11/13,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n29972,2018/11/14,I did weight lifting on 2018/11/14.,I did weight lifting on 2018/11/14.\n29973,2018/11/14,\"I had breakfast with Piper, Layla. I ate toast and cheese.\",\"I had breakfast with Piper, Layla. I ate toast and cheese.\"\n29974,2018/11/14,I ate indian food for lunch.,I ate indian food for lunch.\n29975,2018/11/14,I had dinner with Carter. I ate chinese food.,I had dinner with Carter. I ate chinese food.\n29976,2018/11/14,I talked to Nevaeh for 51 minutes in the morning.,I talked to Nevaeh for 51 minutes in the morning.\n29977,2018/11/14,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n29978,2018/11/14,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n29979,2018/11/15,\"On 2018/11/15, I took Silas on a date to a boba shop\",\"On 2018/11/15, I took Silas on a date to a boba shop\"\n29980,2018/11/15,I did HIIT on 2018/11/15.,I did HIIT on 2018/11/15.\n29981,2018/11/15,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n29982,2018/11/15,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n29983,2018/11/15,I ate tacos for dinner.,I ate tacos for dinner.\n29984,2018/11/15,\"I talked to Avery, Piper, Nevaeh, Hazel for 54 minutes in the early evening.\",\"I talked to Avery, Piper, Nevaeh, Hazel for 54 minutes in the early evening.\"\n29985,2018/11/15,I talked to Piper for 49 minutes late in the evening.,I talked to Piper for 49 minutes late in the evening.\n29986,2018/11/15,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n29987,2018/11/15,I watched a movie for 30 minutes on TV today.,I watched a movie for 30 minutes on TV today.\n29988,2018/11/16,\"I bought some pineapples, strawberries, soda, coffee, shaving cream, toothbrush, paper towel, mouth wash online.\",\"I bought some pineapples, strawberries, soda, coffee, shaving cream, toothbrush, paper towel, mouth wash online.\"\n29989,2018/11/16,I did swimming on 2018/11/16.,I did swimming on 2018/11/16.\n29990,2018/11/16,\"I had eggs, sausages, and bread for breakfast with Piper, Claire, Hazel, Rylee\",\"I had eggs, sausages, and bread for breakfast with Piper, Claire, Hazel, Rylee\"\n29991,2018/11/16,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n29992,2018/11/16,\"I had dinner with Carter, Kayden, Emily, Andrew. I ate sandwich.\",\"I had dinner with Carter, Kayden, Emily, Andrew. I ate sandwich.\"\n29993,2018/11/16,\"I talked to Layla, Lydia, Avery, Rylee for 13 minutes during lunch hours.\",\"I talked to Layla, Lydia, Avery, Rylee for 13 minutes during lunch hours.\"\n29994,2018/11/16,\"I talked to Nevaeh, Kinsley, Olivia, Piper for 7 minutes late in the evening.\",\"I talked to Nevaeh, Kinsley, Olivia, Piper for 7 minutes late in the evening.\"\n29995,2018/11/16,\"I talked to Kinsley, Hazel for 33 minutes in the morning.\",\"I talked to Kinsley, Hazel for 33 minutes in the morning.\"\n29996,2018/11/16,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n29997,2018/11/16,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n29998,2018/11/17,I did HIIT on 2018/11/17.,I did HIIT on 2018/11/17.\n29999,2018/11/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n30000,2018/11/17,I ate a burger for lunch.,I ate a burger for lunch.\n30001,2018/11/17,I had dinner. I ate steak.,I had dinner. I ate steak.\n30002,2018/11/17,\"I spent 44 talking to Layla, Claire on various topics in the late afternoon.\",\"I spent 44 talking to Layla, Claire on various topics in the late afternoon.\"\n30003,2018/11/17,I spent 24 talking to Claire on various topics in the morning.,I spent 24 talking to Claire on various topics in the morning.\n30004,2018/11/17,\"I talked to Avery, Layla for 19 minutes during lunch hours.\",\"I talked to Avery, Layla for 19 minutes during lunch hours.\"\n30005,2018/11/17,\"I spent 50 talking to Nora, Claire, Kinsley, Avery on various topics in the morning.\",\"I spent 50 talking to Nora, Claire, Kinsley, Avery on various topics in the morning.\"\n30006,2018/11/17,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n30007,2018/11/17,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n30008,2018/11/18,I did swimming on 2018/11/18.,I did swimming on 2018/11/18.\n30009,2018/11/18,\"I had eggs, sausages, and bread for breakfast with Jackson, Benjamin\",\"I had eggs, sausages, and bread for breakfast with Jackson, Benjamin\"\n30010,2018/11/18,I ate sushi for lunch.,I ate sushi for lunch.\n30011,2018/11/18,\"I had tacos for dinner with Rylee, Claire, Piper, Eva, Nora, Piper, Kinsley, Layla, Lydia, Nevaeh, Olivia\",\"I had tacos for dinner with Rylee, Claire, Piper, Eva, Nora, Piper, Kinsley, Layla, Lydia, Nevaeh, Olivia\"\n30012,2018/11/18,I talked to Rylee for 28 minutes in the morning.,I talked to Rylee for 28 minutes in the morning.\n30013,2018/11/18,I spent 55 talking to Rylee on various topics late in the evening.,I spent 55 talking to Rylee on various topics late in the evening.\n30014,2018/11/18,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n30015,2018/11/18,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n30016,2018/11/19,I did HIIT on 2018/11/19.,I did HIIT on 2018/11/19.\n30017,2018/11/19,\"I had breakfast with Avery, Benjamin, Jackson, Willow. I ate cereals.\",\"I had breakfast with Avery, Benjamin, Jackson, Willow. I ate cereals.\"\n30018,2018/11/19,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n30019,2018/11/19,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n30020,2018/11/19,\"I talked to Nora, Eva, Avery, Lydia for 34 minutes in the morning.\",\"I talked to Nora, Eva, Avery, Lydia for 34 minutes in the morning.\"\n30021,2018/11/19,\"I talked to Piper, Lydia, Piper, Olivia for 32 minutes in the early afternoon.\",\"I talked to Piper, Lydia, Piper, Olivia for 32 minutes in the early afternoon.\"\n30022,2018/11/19,I talked to Lydia for 25 minutes during lunch hours.,I talked to Lydia for 25 minutes during lunch hours.\n30023,2018/11/19,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n30024,2018/11/19,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n30025,2018/11/20,I did swimming on 2018/11/20.,I did swimming on 2018/11/20.\n30026,2018/11/20,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n30027,2018/11/20,\"I had lunch with Kayden, Carter, Andrew, Emily. I ate pasta.\",\"I had lunch with Kayden, Carter, Andrew, Emily. I ate pasta.\"\n30028,2018/11/20,I ate indian food for dinner.,I ate indian food for dinner.\n30029,2018/11/20,\"I talked to Rylee, Layla for 40 minutes during lunch hours.\",\"I talked to Rylee, Layla for 40 minutes during lunch hours.\"\n30030,2018/11/20,I talked to Nora for 39 minutes during lunch hours.,I talked to Nora for 39 minutes during lunch hours.\n30031,2018/11/20,\"I talked to Kinsley, Lydia, Nevaeh for 23 minutes late in the evening.\",\"I talked to Kinsley, Lydia, Nevaeh for 23 minutes late in the evening.\"\n30032,2018/11/20,\"I talked to Hazel, Avery, Layla for 33 minutes in the early afternoon.\",\"I talked to Hazel, Avery, Layla for 33 minutes in the early afternoon.\"\n30033,2018/11/20,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n30034,2018/11/20,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n30035,2018/11/21,I did weight lifting on 2018/11/21.,I did weight lifting on 2018/11/21.\n30036,2018/11/21,I had toast and cheese for breakfast with Claire,I had toast and cheese for breakfast with Claire\n30037,2018/11/21,I prepare indian food for lunch.,I prepare indian food for lunch.\n30038,2018/11/21,I ate sushi for dinner.,I ate sushi for dinner.\n30039,2018/11/21,\"I spent 45 talking to Layla, Lydia, Nevaeh, Piper on various topics late in the evening.\",\"I spent 45 talking to Layla, Lydia, Nevaeh, Piper on various topics late in the evening.\"\n30040,2018/11/21,\"I talked to Avery, Nevaeh for 37 minutes in the early evening.\",\"I talked to Avery, Nevaeh for 37 minutes in the early evening.\"\n30041,2018/11/21,\"I talked to Lydia, Nevaeh for 54 minutes late in the evening.\",\"I talked to Lydia, Nevaeh for 54 minutes late in the evening.\"\n30042,2018/11/21,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n30043,2018/11/21,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n30044,2018/11/22,I did weight lifting on 2018/11/22.,I did weight lifting on 2018/11/22.\n30045,2018/11/22,I had cereals for breakfast with Andrew,I had cereals for breakfast with Andrew\n30046,2018/11/22,\"I had lunch with Emily, Kayden, Andrew, Carter. I ate a burger.\",\"I had lunch with Emily, Kayden, Andrew, Carter. I ate a burger.\"\n30047,2018/11/22,I had dinner with Emily. I ate sushi.,I had dinner with Emily. I ate sushi.\n30048,2018/11/22,I talked to Kinsley for 21 minutes in the early evening.,I talked to Kinsley for 21 minutes in the early evening.\n30049,2018/11/22,\"I spent 39 talking to Rylee, Lydia, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 39 talking to Rylee, Lydia, Nevaeh, Piper on various topics in the early afternoon.\"\n30050,2018/11/22,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n30051,2018/11/22,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n30052,2018/11/23,\"I bought some strawberries, raspberries, guava juice, sports drinks, apple juice, mango juice, facial wash from the grocery store. I saw Andrew, Emily at the grocery store.\",\"I bought some strawberries, raspberries, guava juice, sports drinks, apple juice, mango juice, facial wash from the grocery store. I saw Andrew, Emily at the grocery store.\"\n30053,2018/11/23,I did HIIT on 2018/11/23.,I did HIIT on 2018/11/23.\n30054,2018/11/23,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n30055,2018/11/23,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n30056,2018/11/23,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n30057,2018/11/23,I talked to Piper for 18 minutes in the morning.,I talked to Piper for 18 minutes in the morning.\n30058,2018/11/23,\"I spent 40 talking to Lydia, Eva on various topics in the late afternoon.\",\"I spent 40 talking to Lydia, Eva on various topics in the late afternoon.\"\n30059,2018/11/23,\"I talked to Avery, Nevaeh for 23 minutes in the early evening.\",\"I talked to Avery, Nevaeh for 23 minutes in the early evening.\"\n30060,2018/11/23,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n30061,2018/11/23,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n30062,2018/11/24,I did running on 2018/11/24.,I did running on 2018/11/24.\n30063,2018/11/24,\"I had cereals for breakfast with Willow, Benjamin, Jackson\",\"I had cereals for breakfast with Willow, Benjamin, Jackson\"\n30064,2018/11/24,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n30065,2018/11/24,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n30066,2018/11/24,\"I talked to Piper, Avery, Nora, Lydia for 51 minutes in the early evening.\",\"I talked to Piper, Avery, Nora, Lydia for 51 minutes in the early evening.\"\n30067,2018/11/24,\"I talked to Piper, Rylee, Eva, Layla for 21 minutes in the late afternoon.\",\"I talked to Piper, Rylee, Eva, Layla for 21 minutes in the late afternoon.\"\n30068,2018/11/24,\"I talked to Avery, Olivia for 11 minutes in the early afternoon.\",\"I talked to Avery, Olivia for 11 minutes in the early afternoon.\"\n30069,2018/11/24,\"I talked to Hazel, Avery, Rylee, Eva for 53 minutes in the morning.\",\"I talked to Hazel, Avery, Rylee, Eva for 53 minutes in the morning.\"\n30070,2018/11/24,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n30071,2018/11/24,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n30072,2018/11/25,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n30073,2018/11/25,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n30074,2018/11/25,\"I had dinner with Rylee, Kinsley, Eva, Hazel, Claire, Olivia, Avery. I ate fish and chips.\",\"I had dinner with Rylee, Kinsley, Eva, Hazel, Claire, Olivia, Avery. I ate fish and chips.\"\n30075,2018/11/25,\"I spent 38 talking to Layla, Kinsley, Nevaeh on various topics late in the evening.\",\"I spent 38 talking to Layla, Kinsley, Nevaeh on various topics late in the evening.\"\n30076,2018/11/25,\"I talked to Piper, Hazel, Eva, Nora for 45 minutes late in the evening.\",\"I talked to Piper, Hazel, Eva, Nora for 45 minutes late in the evening.\"\n30077,2018/11/25,I spent 23 talking to Piper on various topics in the late afternoon.,I spent 23 talking to Piper on various topics in the late afternoon.\n30078,2018/11/25,\"I spent 55 talking to Kinsley, Lydia on various topics in the early evening.\",\"I spent 55 talking to Kinsley, Lydia on various topics in the early evening.\"\n30079,2018/11/25,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n30080,2018/11/25,I watched a documentary for 46 minutes on TV today.,I watched a documentary for 46 minutes on TV today.\n30081,2018/11/26,I did biking on 2018/11/26.,I did biking on 2018/11/26.\n30082,2018/11/26,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n30083,2018/11/26,I prepare pasta for lunch.,I prepare pasta for lunch.\n30084,2018/11/26,\"I had sandwich for dinner with Lydia, Hazel, Claire, Olivia\",\"I had sandwich for dinner with Lydia, Hazel, Claire, Olivia\"\n30085,2018/11/26,I spent 43 talking to Avery on various topics in the early evening.,I spent 43 talking to Avery on various topics in the early evening.\n30086,2018/11/26,\"I spent 18 talking to Kinsley, Piper, Avery on various topics in the morning.\",\"I spent 18 talking to Kinsley, Piper, Avery on various topics in the morning.\"\n30087,2018/11/26,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n30088,2018/11/26,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n30089,2018/11/27,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n30090,2018/11/27,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n30091,2018/11/27,\"I had dinner with Carter, Emily, Kayden, Andrew. I ate steak.\",\"I had dinner with Carter, Emily, Kayden, Andrew. I ate steak.\"\n30092,2018/11/27,\"I spent 29 talking to Lydia, Olivia, Layla, Rylee on various topics in the early evening.\",\"I spent 29 talking to Lydia, Olivia, Layla, Rylee on various topics in the early evening.\"\n30093,2018/11/27,\"I talked to Piper, Hazel, Layla for 39 minutes in the early evening.\",\"I talked to Piper, Hazel, Layla for 39 minutes in the early evening.\"\n30094,2018/11/27,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n30095,2018/11/27,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n30096,2018/11/28,I went for an annual vision checkup on 2018/11/28 at the university hospital.,I went for an annual vision checkup on 2018/11/28 at the university hospital.\n30097,2018/11/28,I did hiking on 2018/11/28.,I did hiking on 2018/11/28.\n30098,2018/11/28,\"I had breakfast with Avery, Jackson, Benjamin, Willow. I ate pancakes.\",\"I had breakfast with Avery, Jackson, Benjamin, Willow. I ate pancakes.\"\n30099,2018/11/28,I had sushi for lunch with Avery,I had sushi for lunch with Avery\n30100,2018/11/28,\"I had dinner with Emily, Carter, Andrew. I ate steak.\",\"I had dinner with Emily, Carter, Andrew. I ate steak.\"\n30101,2018/11/28,\"I spent 30 talking to Kinsley, Claire on various topics in the morning.\",\"I spent 30 talking to Kinsley, Claire on various topics in the morning.\"\n30102,2018/11/28,I talked to Lydia for 42 minutes late in the evening.,I talked to Lydia for 42 minutes late in the evening.\n30103,2018/11/28,\"I spent 5 talking to Kinsley, Nora on various topics in the late afternoon.\",\"I spent 5 talking to Kinsley, Nora on various topics in the late afternoon.\"\n30104,2018/11/28,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n30105,2018/11/28,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n30106,2018/11/29,I went on a date with Oliver on 2018/11/29 at a park,I went on a date with Oliver on 2018/11/29 at a park\n30107,2018/11/29,I did running on 2018/11/29.,I did running on 2018/11/29.\n30108,2018/11/29,\"I had breakfast with Benjamin, Jackson, Willow, Avery. I ate cereals.\",\"I had breakfast with Benjamin, Jackson, Willow, Avery. I ate cereals.\"\n30109,2018/11/29,\"I had fish and chips for lunch with Carter, Emily, Kayden, Andrew\",\"I had fish and chips for lunch with Carter, Emily, Kayden, Andrew\"\n30110,2018/11/29,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n30111,2018/11/29,I talked to Piper for 7 minutes in the early evening.,I talked to Piper for 7 minutes in the early evening.\n30112,2018/11/29,\"I spent 7 talking to Hazel, Layla, Nora, Avery on various topics in the late afternoon.\",\"I spent 7 talking to Hazel, Layla, Nora, Avery on various topics in the late afternoon.\"\n30113,2018/11/29,I talked to Piper for 39 minutes during lunch hours.,I talked to Piper for 39 minutes during lunch hours.\n30114,2018/11/29,\"I talked to Lydia, Claire, Rylee for 43 minutes in the morning.\",\"I talked to Lydia, Claire, Rylee for 43 minutes in the morning.\"\n30115,2018/11/29,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n30116,2018/11/29,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n30117,2018/11/30,I really enjoyed working out on 2018/11/30,I really enjoyed working out on 2018/11/30\n30118,2018/11/30,I did weight lifting on 2018/11/30.,I did weight lifting on 2018/11/30.\n30119,2018/11/30,\"I had breakfast with Olivia, Claire, Lydia, Eva, Kinsley, Piper, Rylee. I ate cereals.\",\"I had breakfast with Olivia, Claire, Lydia, Eva, Kinsley, Piper, Rylee. I ate cereals.\"\n30120,2018/11/30,I ate steak for lunch.,I ate steak for lunch.\n30121,2018/11/30,I ate pasta for dinner.,I ate pasta for dinner.\n30122,2018/11/30,\"I talked to Kinsley, Avery, Rylee for 9 minutes in the late afternoon.\",\"I talked to Kinsley, Avery, Rylee for 9 minutes in the late afternoon.\"\n30123,2018/11/30,\"I talked to Rylee, Lydia, Piper, Olivia for 39 minutes in the late afternoon.\",\"I talked to Rylee, Lydia, Piper, Olivia for 39 minutes in the late afternoon.\"\n30124,2018/11/30,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n30125,2018/11/30,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n30126,2018/12/01,\"I went grocery shopping. I bought some raspberries, coffee, soda, milk, orange juice, and shaving cream, mouthwash, toothbrush, body lotion\",\"I went grocery shopping. I bought some raspberries, coffee, soda, milk, orange juice, and shaving cream, mouthwash, toothbrush, body lotion\"\n30127,2018/12/01,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n30128,2018/12/01,I prepare steak for lunch.,I prepare steak for lunch.\n30129,2018/12/01,I prepare sushi for dinner.,I prepare sushi for dinner.\n30130,2018/12/01,I talked to Claire for 55 minutes in the morning.,I talked to Claire for 55 minutes in the morning.\n30131,2018/12/01,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n30132,2018/12/01,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n30133,2018/12/02,I did swimming on 2018/12/02.,I did swimming on 2018/12/02.\n30134,2018/12/02,\"I had toast and cheese for breakfast with Kayden, Emily, Andrew, Carter\",\"I had toast and cheese for breakfast with Kayden, Emily, Andrew, Carter\"\n30135,2018/12/02,I ate indian food for lunch.,I ate indian food for lunch.\n30136,2018/12/02,I prepare tacos for dinner.,I prepare tacos for dinner.\n30137,2018/12/02,I spent 38 talking to Kinsley on various topics in the late afternoon.,I spent 38 talking to Kinsley on various topics in the late afternoon.\n30138,2018/12/02,\"I spent 51 talking to Olivia, Piper, Eva, Layla on various topics during lunch hours.\",\"I spent 51 talking to Olivia, Piper, Eva, Layla on various topics during lunch hours.\"\n30139,2018/12/02,\"I spent 39 talking to Eva, Claire, Layla on various topics in the late afternoon.\",\"I spent 39 talking to Eva, Claire, Layla on various topics in the late afternoon.\"\n30140,2018/12/02,\"I spent 31 talking to Rylee, Lydia on various topics in the early evening.\",\"I spent 31 talking to Rylee, Lydia on various topics in the early evening.\"\n30141,2018/12/02,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n30142,2018/12/02,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n30143,2018/12/03,I did HIIT on 2018/12/03.,I did HIIT on 2018/12/03.\n30144,2018/12/03,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n30145,2018/12/03,I had lunch with Willow. I ate chinese food.,I had lunch with Willow. I ate chinese food.\n30146,2018/12/03,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n30147,2018/12/03,\"I talked to Layla, Kinsley, Olivia for 43 minutes in the early evening.\",\"I talked to Layla, Kinsley, Olivia for 43 minutes in the early evening.\"\n30148,2018/12/03,I talked to Olivia for 37 minutes in the early afternoon.,I talked to Olivia for 37 minutes in the early afternoon.\n30149,2018/12/03,\"I talked to Avery, Lydia for 5 minutes in the early afternoon.\",\"I talked to Avery, Lydia for 5 minutes in the early afternoon.\"\n30150,2018/12/03,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n30151,2018/12/03,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n30152,2018/12/04,I spent some time gardening on 2018/12/04.,I spent some time gardening on 2018/12/04.\n30153,2018/12/04,I did hiking on 2018/12/04.,I did hiking on 2018/12/04.\n30154,2018/12/04,\"I had breakfast with Andrew, Carter, Kayden. I ate pancakes.\",\"I had breakfast with Andrew, Carter, Kayden. I ate pancakes.\"\n30155,2018/12/04,I prepare pasta for lunch.,I prepare pasta for lunch.\n30156,2018/12/04,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n30157,2018/12/04,\"I spent 10 talking to Nora, Hazel, Layla on various topics in the early afternoon.\",\"I spent 10 talking to Nora, Hazel, Layla on various topics in the early afternoon.\"\n30158,2018/12/04,\"I spent 9 talking to Layla, Rylee, Kinsley on various topics in the early evening.\",\"I spent 9 talking to Layla, Rylee, Kinsley on various topics in the early evening.\"\n30159,2018/12/04,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n30160,2018/12/04,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n30161,2018/12/05,\"I went grocery shopping with Piper. I bought some clementines, soda, coffee, and shaving cream\",\"I went grocery shopping with Piper. I bought some clementines, soda, coffee, and shaving cream\"\n30162,2018/12/05,I did hiking on 2018/12/05.,I did hiking on 2018/12/05.\n30163,2018/12/05,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n30164,2018/12/05,\"I had lunch with Avery, Piper, Olivia, Kinsley, Rylee, Hazel, Piper, Nora. I ate sandwich.\",\"I had lunch with Avery, Piper, Olivia, Kinsley, Rylee, Hazel, Piper, Nora. I ate sandwich.\"\n30165,2018/12/05,\"I had dinner with Andrew, Carter, Emily, Kayden. I ate chinese food.\",\"I had dinner with Andrew, Carter, Emily, Kayden. I ate chinese food.\"\n30166,2018/12/05,I spent 48 talking to Piper on various topics in the early evening.,I spent 48 talking to Piper on various topics in the early evening.\n30167,2018/12/05,\"I spent 44 talking to Layla, Nevaeh on various topics in the late afternoon.\",\"I spent 44 talking to Layla, Nevaeh on various topics in the late afternoon.\"\n30168,2018/12/05,\"I spent 38 talking to Layla, Avery, Nora on various topics late in the evening.\",\"I spent 38 talking to Layla, Avery, Nora on various topics late in the evening.\"\n30169,2018/12/05,\"I spent 44 talking to Rylee, Lydia on various topics in the early afternoon.\",\"I spent 44 talking to Rylee, Lydia on various topics in the early afternoon.\"\n30170,2018/12/05,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n30171,2018/12/05,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n30172,2018/12/06,I did hiking on 2018/12/06.,I did hiking on 2018/12/06.\n30173,2018/12/06,\"I had breakfast with Emily, Carter, Kayden. I ate oatmeal.\",\"I had breakfast with Emily, Carter, Kayden. I ate oatmeal.\"\n30174,2018/12/06,I prepare steak for lunch.,I prepare steak for lunch.\n30175,2018/12/06,\"I had dinner with Kayden, Emily. I ate sushi.\",\"I had dinner with Kayden, Emily. I ate sushi.\"\n30176,2018/12/06,\"I talked to Olivia, Layla for 11 minutes in the morning.\",\"I talked to Olivia, Layla for 11 minutes in the morning.\"\n30177,2018/12/06,\"I spent 41 talking to Piper, Lydia, Olivia on various topics late in the evening.\",\"I spent 41 talking to Piper, Lydia, Olivia on various topics late in the evening.\"\n30178,2018/12/06,\"I talked to Nora, Olivia, Layla for 26 minutes during lunch hours.\",\"I talked to Nora, Olivia, Layla for 26 minutes during lunch hours.\"\n30179,2018/12/06,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n30180,2018/12/06,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n30181,2018/12/07,\"On 2018/12/07, I took Axel on a date to a boba shop\",\"On 2018/12/07, I took Axel on a date to a boba shop\"\n30182,2018/12/07,I did HIIT on 2018/12/07.,I did HIIT on 2018/12/07.\n30183,2018/12/07,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n30184,2018/12/07,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n30185,2018/12/07,I ate sandwich for dinner.,I ate sandwich for dinner.\n30186,2018/12/07,\"I spent 52 talking to Claire, Rylee, Piper, Nora on various topics in the early afternoon.\",\"I spent 52 talking to Claire, Rylee, Piper, Nora on various topics in the early afternoon.\"\n30187,2018/12/07,\"I spent 53 talking to Hazel, Claire on various topics during lunch hours.\",\"I spent 53 talking to Hazel, Claire on various topics during lunch hours.\"\n30188,2018/12/07,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n30189,2018/12/07,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n30190,2018/12/08,\"I went grocery shopping with Emily. I bought some watermelons, mandarins, blackberries, mineral water, pineapple juice, tea, chocolate milk, and mouthwash\",\"I went grocery shopping with Emily. I bought some watermelons, mandarins, blackberries, mineral water, pineapple juice, tea, chocolate milk, and mouthwash\"\n30191,2018/12/08,I did biking on 2018/12/08.,I did biking on 2018/12/08.\n30192,2018/12/08,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n30193,2018/12/08,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n30194,2018/12/08,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n30195,2018/12/08,\"I spent 50 talking to Piper, Nora, Olivia on various topics in the early afternoon.\",\"I spent 50 talking to Piper, Nora, Olivia on various topics in the early afternoon.\"\n30196,2018/12/08,I spent 34 talking to Claire on various topics in the late afternoon.,I spent 34 talking to Claire on various topics in the late afternoon.\n30197,2018/12/08,\"I spent 25 talking to Lydia, Nora, Piper on various topics during lunch hours.\",\"I spent 25 talking to Lydia, Nora, Piper on various topics during lunch hours.\"\n30198,2018/12/08,\"I spent 30 talking to Nevaeh, Piper, Kinsley, Nora on various topics in the late afternoon.\",\"I spent 30 talking to Nevaeh, Piper, Kinsley, Nora on various topics in the late afternoon.\"\n30199,2018/12/08,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n30200,2018/12/08,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n30201,2018/12/09,I did hiking on 2018/12/09.,I did hiking on 2018/12/09.\n30202,2018/12/09,I ate cereals for breakfast.,I ate cereals for breakfast.\n30203,2018/12/09,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n30204,2018/12/09,I prepare sushi for dinner.,I prepare sushi for dinner.\n30205,2018/12/09,\"I spent 25 talking to Piper, Hazel, Kinsley, Olivia on various topics in the early afternoon.\",\"I spent 25 talking to Piper, Hazel, Kinsley, Olivia on various topics in the early afternoon.\"\n30206,2018/12/09,\"I talked to Lydia, Avery, Layla, Olivia for 17 minutes in the morning.\",\"I talked to Lydia, Avery, Layla, Olivia for 17 minutes in the morning.\"\n30207,2018/12/09,\"I talked to Piper, Nevaeh for 47 minutes in the late afternoon.\",\"I talked to Piper, Nevaeh for 47 minutes in the late afternoon.\"\n30208,2018/12/09,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n30209,2018/12/09,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n30210,2018/12/10,I spent some time working out on 2018/12/10.,I spent some time working out on 2018/12/10.\n30211,2018/12/10,\"I bought some raspberries, clementines, bananas, watermelons, mango juice, soda, coffee, apple juice, shaving cream, conditioner, paper towel, toilet paper online.\",\"I bought some raspberries, clementines, bananas, watermelons, mango juice, soda, coffee, apple juice, shaving cream, conditioner, paper towel, toilet paper online.\"\n30212,2018/12/10,I did biking on 2018/12/10.,I did biking on 2018/12/10.\n30213,2018/12/10,I had breakfast with Benjamin. I ate pancakes.,I had breakfast with Benjamin. I ate pancakes.\n30214,2018/12/10,\"I had indian food for lunch with Nora, Piper, Nevaeh, Layla, Kinsley, Avery, Lydia, Claire, Olivia, Hazel, Eva, Rylee, Piper\",\"I had indian food for lunch with Nora, Piper, Nevaeh, Layla, Kinsley, Avery, Lydia, Claire, Olivia, Hazel, Eva, Rylee, Piper\"\n30215,2018/12/10,I ate tacos for dinner.,I ate tacos for dinner.\n30216,2018/12/10,\"I spent 55 talking to Olivia, Kinsley, Hazel on various topics in the late afternoon.\",\"I spent 55 talking to Olivia, Kinsley, Hazel on various topics in the late afternoon.\"\n30217,2018/12/10,\"I talked to Eva, Kinsley, Piper, Lydia for 29 minutes during lunch hours.\",\"I talked to Eva, Kinsley, Piper, Lydia for 29 minutes during lunch hours.\"\n30218,2018/12/10,\"I talked to Eva, Claire, Olivia for 13 minutes in the morning.\",\"I talked to Eva, Claire, Olivia for 13 minutes in the morning.\"\n30219,2018/12/10,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n30220,2018/12/10,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n30221,2018/12/11,I did running on 2018/12/11.,I did running on 2018/12/11.\n30222,2018/12/11,\"I had breakfast with Avery, Benjamin, Jackson. I ate oatmeal.\",\"I had breakfast with Avery, Benjamin, Jackson. I ate oatmeal.\"\n30223,2018/12/11,I had lunch with Andrew. I ate sushi.,I had lunch with Andrew. I ate sushi.\n30224,2018/12/11,I ate pasta for dinner.,I ate pasta for dinner.\n30225,2018/12/11,\"I spent 43 talking to Avery, Nevaeh on various topics in the early evening.\",\"I spent 43 talking to Avery, Nevaeh on various topics in the early evening.\"\n30226,2018/12/11,\"I talked to Piper, Claire, Lydia for 51 minutes during lunch hours.\",\"I talked to Piper, Claire, Lydia for 51 minutes during lunch hours.\"\n30227,2018/12/11,\"I talked to Rylee, Avery for 28 minutes in the late afternoon.\",\"I talked to Rylee, Avery for 28 minutes in the late afternoon.\"\n30228,2018/12/11,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n30229,2018/12/11,I spent 27 minutes watching a movie on TV today.,I spent 27 minutes watching a movie on TV today.\n30230,2018/12/12,I did hiking on 2018/12/12.,I did hiking on 2018/12/12.\n30231,2018/12/12,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n30232,2018/12/12,\"I had fish and chips for lunch with Nevaeh, Piper, Nora\",\"I had fish and chips for lunch with Nevaeh, Piper, Nora\"\n30233,2018/12/12,I had dinner. I ate steak.,I had dinner. I ate steak.\n30234,2018/12/12,\"I spent 36 talking to Claire, Lydia, Hazel, Piper on various topics in the early afternoon.\",\"I spent 36 talking to Claire, Lydia, Hazel, Piper on various topics in the early afternoon.\"\n30235,2018/12/12,\"I spent 39 talking to Lydia, Avery, Kinsley on various topics in the morning.\",\"I spent 39 talking to Lydia, Avery, Kinsley on various topics in the morning.\"\n30236,2018/12/12,\"I spent 50 talking to Lydia, Layla, Eva, Piper on various topics during lunch hours.\",\"I spent 50 talking to Lydia, Layla, Eva, Piper on various topics during lunch hours.\"\n30237,2018/12/12,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n30238,2018/12/12,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n30239,2018/12/13,I went on a date with Mike on 2018/12/13 at a park,I went on a date with Mike on 2018/12/13 at a park\n30240,2018/12/13,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n30241,2018/12/13,\"I had steak for lunch with Nevaeh, Layla, Kinsley, Claire, Hazel, Nora, Lydia, Rylee, Eva, Avery, Piper, Olivia, Piper\",\"I had steak for lunch with Nevaeh, Layla, Kinsley, Claire, Hazel, Nora, Lydia, Rylee, Eva, Avery, Piper, Olivia, Piper\"\n30242,2018/12/13,\"I had tacos for dinner with Kinsley, Rylee, Lydia, Hazel, Eva, Piper, Avery, Nora, Olivia\",\"I had tacos for dinner with Kinsley, Rylee, Lydia, Hazel, Eva, Piper, Avery, Nora, Olivia\"\n30243,2018/12/13,\"I spent 20 talking to Nevaeh, Avery, Layla, Kinsley on various topics in the early afternoon.\",\"I spent 20 talking to Nevaeh, Avery, Layla, Kinsley on various topics in the early afternoon.\"\n30244,2018/12/13,\"I spent 45 talking to Piper, Kinsley, Nora, Layla on various topics in the morning.\",\"I spent 45 talking to Piper, Kinsley, Nora, Layla on various topics in the morning.\"\n30245,2018/12/13,\"I talked to Nora, Kinsley for 27 minutes in the early afternoon.\",\"I talked to Nora, Kinsley for 27 minutes in the early afternoon.\"\n30246,2018/12/13,I talked to Kinsley for 26 minutes in the late afternoon.,I talked to Kinsley for 26 minutes in the late afternoon.\n30247,2018/12/13,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n30248,2018/12/13,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n30249,2018/12/14,\"I bought some blackberries, strawberries, peaches, blueberries, apple juice, chocolate milk, orange juice, shampoo, facial wash online.\",\"I bought some blackberries, strawberries, peaches, blueberries, apple juice, chocolate milk, orange juice, shampoo, facial wash online.\"\n30250,2018/12/14,I did running on 2018/12/14.,I did running on 2018/12/14.\n30251,2018/12/14,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n30252,2018/12/14,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n30253,2018/12/14,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n30254,2018/12/14,\"I talked to Nevaeh, Rylee, Eva, Olivia for 25 minutes in the late afternoon.\",\"I talked to Nevaeh, Rylee, Eva, Olivia for 25 minutes in the late afternoon.\"\n30255,2018/12/14,\"I talked to Lydia, Kinsley, Piper for 8 minutes in the late afternoon.\",\"I talked to Lydia, Kinsley, Piper for 8 minutes in the late afternoon.\"\n30256,2018/12/14,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n30257,2018/12/14,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n30258,2018/12/15,I did biking on 2018/12/15.,I did biking on 2018/12/15.\n30259,2018/12/15,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n30260,2018/12/15,I ate steak for lunch.,I ate steak for lunch.\n30261,2018/12/15,I prepare a burger for dinner.,I prepare a burger for dinner.\n30262,2018/12/15,\"I spent 34 talking to Hazel, Avery, Lydia, Eva on various topics during lunch hours.\",\"I spent 34 talking to Hazel, Avery, Lydia, Eva on various topics during lunch hours.\"\n30263,2018/12/15,\"I spent 5 talking to Claire, Eva, Hazel on various topics in the early afternoon.\",\"I spent 5 talking to Claire, Eva, Hazel on various topics in the early afternoon.\"\n30264,2018/12/15,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n30265,2018/12/15,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n30266,2018/12/16,I did swimming on 2018/12/16.,I did swimming on 2018/12/16.\n30267,2018/12/16,I had cereals for breakfast with Carter,I had cereals for breakfast with Carter\n30268,2018/12/16,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n30269,2018/12/16,I had dinner. I ate steak.,I had dinner. I ate steak.\n30270,2018/12/16,\"I spent 33 talking to Kinsley, Rylee, Eva on various topics in the morning.\",\"I spent 33 talking to Kinsley, Rylee, Eva on various topics in the morning.\"\n30271,2018/12/16,\"I talked to Lydia, Olivia, Eva, Piper for 9 minutes in the morning.\",\"I talked to Lydia, Olivia, Eva, Piper for 9 minutes in the morning.\"\n30272,2018/12/16,I talked to Claire for 46 minutes in the morning.,I talked to Claire for 46 minutes in the morning.\n30273,2018/12/16,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n30274,2018/12/16,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n30275,2018/12/17,\"On 2018/12/17, I took Mila on a date to a park\",\"On 2018/12/17, I took Mila on a date to a park\"\n30276,2018/12/17,I did hiking on 2018/12/17.,I did hiking on 2018/12/17.\n30277,2018/12/17,\"I had pancakes for breakfast with Jackson, Avery, Willow\",\"I had pancakes for breakfast with Jackson, Avery, Willow\"\n30278,2018/12/17,I prepare sushi for lunch.,I prepare sushi for lunch.\n30279,2018/12/17,\"I had tacos for dinner with Kayden, Emily, Carter\",\"I had tacos for dinner with Kayden, Emily, Carter\"\n30280,2018/12/17,I talked to Nora for 14 minutes in the late afternoon.,I talked to Nora for 14 minutes in the late afternoon.\n30281,2018/12/17,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n30282,2018/12/17,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n30283,2018/12/18,I did running on 2018/12/18.,I did running on 2018/12/18.\n30284,2018/12/18,\"I had cereals for breakfast with Piper, Olivia, Lydia, Layla, Nora\",\"I had cereals for breakfast with Piper, Olivia, Lydia, Layla, Nora\"\n30285,2018/12/18,I prepare tacos for lunch.,I prepare tacos for lunch.\n30286,2018/12/18,I ate a burger for dinner.,I ate a burger for dinner.\n30287,2018/12/18,\"I spent 31 talking to Kinsley, Layla on various topics in the early evening.\",\"I spent 31 talking to Kinsley, Layla on various topics in the early evening.\"\n30288,2018/12/18,\"I talked to Rylee, Piper for 43 minutes in the late afternoon.\",\"I talked to Rylee, Piper for 43 minutes in the late afternoon.\"\n30289,2018/12/18,\"I talked to Eva, Nora for 15 minutes during lunch hours.\",\"I talked to Eva, Nora for 15 minutes during lunch hours.\"\n30290,2018/12/18,\"I spent 11 talking to Hazel, Eva, Nora on various topics in the early evening.\",\"I spent 11 talking to Hazel, Eva, Nora on various topics in the early evening.\"\n30291,2018/12/18,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n30292,2018/12/18,I watched a movie for 30 minutes on TV today.,I watched a movie for 30 minutes on TV today.\n30293,2018/12/19,\"I went grocery shopping. I bought some mandarins, bananas, pears, mango juice, soda, chocolate milk, and shampoo, shaving cream\",\"I went grocery shopping. I bought some mandarins, bananas, pears, mango juice, soda, chocolate milk, and shampoo, shaving cream\"\n30294,2018/12/19,I did running on 2018/12/19.,I did running on 2018/12/19.\n30295,2018/12/19,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n30296,2018/12/19,I prepare a burger for lunch.,I prepare a burger for lunch.\n30297,2018/12/19,I had dinner with Andrew. I ate sushi.,I had dinner with Andrew. I ate sushi.\n30298,2018/12/19,\"I spent 36 talking to Kinsley, Olivia on various topics in the early afternoon.\",\"I spent 36 talking to Kinsley, Olivia on various topics in the early afternoon.\"\n30299,2018/12/19,I talked to Hazel for 40 minutes in the late afternoon.,I talked to Hazel for 40 minutes in the late afternoon.\n30300,2018/12/19,\"I talked to Claire, Hazel for 32 minutes late in the evening.\",\"I talked to Claire, Hazel for 32 minutes late in the evening.\"\n30301,2018/12/19,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n30302,2018/12/19,I spent 40 minutes watching a movie on TV today.,I spent 40 minutes watching a movie on TV today.\n30303,2018/12/20,I did weight lifting on 2018/12/20.,I did weight lifting on 2018/12/20.\n30304,2018/12/20,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n30305,2018/12/20,I had a burger for lunch with Emily,I had a burger for lunch with Emily\n30306,2018/12/20,I ate sushi for dinner.,I ate sushi for dinner.\n30307,2018/12/20,\"I spent 32 talking to Layla, Kinsley, Hazel, Piper on various topics late in the evening.\",\"I spent 32 talking to Layla, Kinsley, Hazel, Piper on various topics late in the evening.\"\n30308,2018/12/20,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n30309,2018/12/20,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n30310,2018/12/21,I did weight lifting on 2018/12/21.,I did weight lifting on 2018/12/21.\n30311,2018/12/21,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n30312,2018/12/21,\"I had fish and chips for lunch with Olivia, Piper, Lydia, Rylee\",\"I had fish and chips for lunch with Olivia, Piper, Lydia, Rylee\"\n30313,2018/12/21,I prepare pasta for dinner.,I prepare pasta for dinner.\n30314,2018/12/21,\"I talked to Nevaeh, Olivia, Hazel, Avery for 17 minutes in the morning.\",\"I talked to Nevaeh, Olivia, Hazel, Avery for 17 minutes in the morning.\"\n30315,2018/12/21,\"I spent 42 talking to Claire, Piper, Piper, Kinsley on various topics in the morning.\",\"I spent 42 talking to Claire, Piper, Piper, Kinsley on various topics in the morning.\"\n30316,2018/12/21,I talked to Layla for 49 minutes during lunch hours.,I talked to Layla for 49 minutes during lunch hours.\n30317,2018/12/21,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n30318,2018/12/21,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n30319,2018/12/22,I went on a date with Naomi on 2018/12/22 at a restaurant,I went on a date with Naomi on 2018/12/22 at a restaurant\n30320,2018/12/22,\"I went grocery shopping with Rylee, Nora, Layla, Claire, Kinsley, Piper, Nevaeh, Avery, Piper, Eva, Hazel. I bought some peaches, strawberries, soda, pineapple juice, apple juice, and conditioner\",\"I went grocery shopping with Rylee, Nora, Layla, Claire, Kinsley, Piper, Nevaeh, Avery, Piper, Eva, Hazel. I bought some peaches, strawberries, soda, pineapple juice, apple juice, and conditioner\"\n30321,2018/12/22,I did swimming on 2018/12/22.,I did swimming on 2018/12/22.\n30322,2018/12/22,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n30323,2018/12/22,\"I had lunch with Eva, Olivia, Kinsley, Avery, Nora, Layla, Piper, Lydia, Hazel, Nevaeh. I ate tacos.\",\"I had lunch with Eva, Olivia, Kinsley, Avery, Nora, Layla, Piper, Lydia, Hazel, Nevaeh. I ate tacos.\"\n30324,2018/12/22,I had pasta for dinner with Willow,I had pasta for dinner with Willow\n30325,2018/12/22,\"I spent 34 talking to Nora, Hazel on various topics in the morning.\",\"I spent 34 talking to Nora, Hazel on various topics in the morning.\"\n30326,2018/12/22,\"I spent 40 talking to Piper, Lydia on various topics in the morning.\",\"I spent 40 talking to Piper, Lydia on various topics in the morning.\"\n30327,2018/12/22,\"I spent 55 talking to Nevaeh, Kinsley on various topics late in the evening.\",\"I spent 55 talking to Nevaeh, Kinsley on various topics late in the evening.\"\n30328,2018/12/22,I spent 27 minutes on social media today.,I spent 27 minutes on social media today.\n30329,2018/12/22,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n30330,2018/12/23,I did running on 2018/12/23.,I did running on 2018/12/23.\n30331,2018/12/23,\"I had pancakes for breakfast with Andrew, Emily\",\"I had pancakes for breakfast with Andrew, Emily\"\n30332,2018/12/23,\"I had sandwich for lunch with Rylee, Nevaeh\",\"I had sandwich for lunch with Rylee, Nevaeh\"\n30333,2018/12/23,\"I had dinner with Benjamin, Avery, Willow, Jackson. I ate steak.\",\"I had dinner with Benjamin, Avery, Willow, Jackson. I ate steak.\"\n30334,2018/12/23,\"I talked to Piper, Kinsley for 48 minutes late in the evening.\",\"I talked to Piper, Kinsley for 48 minutes late in the evening.\"\n30335,2018/12/23,\"I talked to Claire, Olivia for 14 minutes in the late afternoon.\",\"I talked to Claire, Olivia for 14 minutes in the late afternoon.\"\n30336,2018/12/23,\"I talked to Lydia, Kinsley, Hazel for 41 minutes in the early afternoon.\",\"I talked to Lydia, Kinsley, Hazel for 41 minutes in the early afternoon.\"\n30337,2018/12/23,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n30338,2018/12/23,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n30339,2018/12/24,I took my parents for their for an annual physical checkup on 2018/12/24 at the hospital.,I took my parents for their for an annual physical checkup on 2018/12/24 at the hospital.\n30340,2018/12/24,I did biking on 2018/12/24.,I did biking on 2018/12/24.\n30341,2018/12/24,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n30342,2018/12/24,I prepare tacos for lunch.,I prepare tacos for lunch.\n30343,2018/12/24,\"I had dinner with Avery, Jackson. I ate sandwich.\",\"I had dinner with Avery, Jackson. I ate sandwich.\"\n30344,2018/12/24,\"I talked to Nora, Rylee, Olivia for 47 minutes late in the evening.\",\"I talked to Nora, Rylee, Olivia for 47 minutes late in the evening.\"\n30345,2018/12/24,\"I talked to Rylee, Avery for 17 minutes in the late afternoon.\",\"I talked to Rylee, Avery for 17 minutes in the late afternoon.\"\n30346,2018/12/24,I spent 29 talking to Hazel on various topics in the early afternoon.,I spent 29 talking to Hazel on various topics in the early afternoon.\n30347,2018/12/24,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n30348,2018/12/24,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n30349,2018/12/25,I did HIIT on 2018/12/25.,I did HIIT on 2018/12/25.\n30350,2018/12/25,\"I had breakfast with Hazel, Nevaeh, Kinsley, Nora, Avery, Lydia, Olivia, Claire, Piper, Layla, Eva. I ate oatmeal.\",\"I had breakfast with Hazel, Nevaeh, Kinsley, Nora, Avery, Lydia, Olivia, Claire, Piper, Layla, Eva. I ate oatmeal.\"\n30351,2018/12/25,I prepare indian food for lunch.,I prepare indian food for lunch.\n30352,2018/12/25,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n30353,2018/12/25,\"I spent 54 talking to Rylee, Piper on various topics in the early afternoon.\",\"I spent 54 talking to Rylee, Piper on various topics in the early afternoon.\"\n30354,2018/12/25,\"I talked to Nora, Hazel, Piper for 36 minutes in the late afternoon.\",\"I talked to Nora, Hazel, Piper for 36 minutes in the late afternoon.\"\n30355,2018/12/25,\"I talked to Piper, Hazel for 55 minutes in the early afternoon.\",\"I talked to Piper, Hazel for 55 minutes in the early afternoon.\"\n30356,2018/12/25,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n30357,2018/12/25,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n30358,2018/12/26,I did biking on 2018/12/26.,I did biking on 2018/12/26.\n30359,2018/12/26,\"I had breakfast with Kinsley, Nora, Nevaeh, Piper, Lydia. I ate oatmeal.\",\"I had breakfast with Kinsley, Nora, Nevaeh, Piper, Lydia. I ate oatmeal.\"\n30360,2018/12/26,\"I had lunch with Andrew, Kayden, Carter. I ate sandwich.\",\"I had lunch with Andrew, Kayden, Carter. I ate sandwich.\"\n30361,2018/12/26,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n30362,2018/12/26,\"I talked to Rylee, Nora, Eva for 12 minutes during lunch hours.\",\"I talked to Rylee, Nora, Eva for 12 minutes during lunch hours.\"\n30363,2018/12/26,\"I spent 54 talking to Piper, Layla on various topics in the morning.\",\"I spent 54 talking to Piper, Layla on various topics in the morning.\"\n30364,2018/12/26,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n30365,2018/12/26,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n30366,2018/12/27,I did swimming on 2018/12/27.,I did swimming on 2018/12/27.\n30367,2018/12/27,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n30368,2018/12/27,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n30369,2018/12/27,I ate steak for dinner.,I ate steak for dinner.\n30370,2018/12/27,I spent 21 talking to Lydia on various topics during lunch hours.,I spent 21 talking to Lydia on various topics during lunch hours.\n30371,2018/12/27,\"I talked to Olivia, Claire, Lydia, Avery for 41 minutes late in the evening.\",\"I talked to Olivia, Claire, Lydia, Avery for 41 minutes late in the evening.\"\n30372,2018/12/27,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n30373,2018/12/27,I watched news for 52 minutes on TV today.,I watched news for 52 minutes on TV today.\n30374,2018/12/28,I really enjoyed meditation on 2018/12/28,I really enjoyed meditation on 2018/12/28\n30375,2018/12/28,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n30376,2018/12/28,\"I had a burger for lunch with Andrew, Carter, Emily, Kayden\",\"I had a burger for lunch with Andrew, Carter, Emily, Kayden\"\n30377,2018/12/28,\"I had dinner with Benjamin, Jackson. I ate sandwich.\",\"I had dinner with Benjamin, Jackson. I ate sandwich.\"\n30378,2018/12/28,\"I talked to Nora, Hazel, Lydia for 41 minutes in the early evening.\",\"I talked to Nora, Hazel, Lydia for 41 minutes in the early evening.\"\n30379,2018/12/28,\"I spent 30 talking to Eva, Rylee, Nevaeh, Nora on various topics late in the evening.\",\"I spent 30 talking to Eva, Rylee, Nevaeh, Nora on various topics late in the evening.\"\n30380,2018/12/28,\"I talked to Piper, Hazel for 35 minutes during lunch hours.\",\"I talked to Piper, Hazel for 35 minutes during lunch hours.\"\n30381,2018/12/28,I talked to Rylee for 39 minutes in the late afternoon.,I talked to Rylee for 39 minutes in the late afternoon.\n30382,2018/12/28,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n30383,2018/12/28,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n30384,2018/12/29,I did hiking on 2018/12/29.,I did hiking on 2018/12/29.\n30385,2018/12/29,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n30386,2018/12/29,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n30387,2018/12/29,I had tacos for dinner with Carter,I had tacos for dinner with Carter\n30388,2018/12/29,\"I spent 16 talking to Nora, Kinsley, Nevaeh on various topics during lunch hours.\",\"I spent 16 talking to Nora, Kinsley, Nevaeh on various topics during lunch hours.\"\n30389,2018/12/29,I talked to Avery for 35 minutes in the early afternoon.,I talked to Avery for 35 minutes in the early afternoon.\n30390,2018/12/29,\"I spent 5 talking to Hazel, Layla, Piper, Claire on various topics in the early evening.\",\"I spent 5 talking to Hazel, Layla, Piper, Claire on various topics in the early evening.\"\n30391,2018/12/29,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n30392,2018/12/29,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n30393,2018/12/30,I did weight lifting on 2018/12/30.,I did weight lifting on 2018/12/30.\n30394,2018/12/30,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n30395,2018/12/30,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n30396,2018/12/30,\"I had pasta for dinner with Andrew, Emily\",\"I had pasta for dinner with Andrew, Emily\"\n30397,2018/12/30,\"I talked to Lydia, Layla for 22 minutes in the morning.\",\"I talked to Lydia, Layla for 22 minutes in the morning.\"\n30398,2018/12/30,\"I spent 17 talking to Piper, Lydia, Nora on various topics in the early afternoon.\",\"I spent 17 talking to Piper, Lydia, Nora on various topics in the early afternoon.\"\n30399,2018/12/30,\"I spent 32 talking to Layla, Avery, Lydia on various topics in the early afternoon.\",\"I spent 32 talking to Layla, Avery, Lydia on various topics in the early afternoon.\"\n30400,2018/12/30,\"I spent 53 talking to Rylee, Layla, Hazel on various topics during lunch hours.\",\"I spent 53 talking to Rylee, Layla, Hazel on various topics during lunch hours.\"\n30401,2018/12/30,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n30402,2018/12/30,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n30403,2018/12/31,\"I had breakfast with Andrew, Kayden, Emily. I ate pancakes.\",\"I had breakfast with Andrew, Kayden, Emily. I ate pancakes.\"\n30404,2018/12/31,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n30405,2018/12/31,\"I had dinner with Emily, Carter. I ate chinese food.\",\"I had dinner with Emily, Carter. I ate chinese food.\"\n30406,2018/12/31,\"I spent 14 talking to Hazel, Eva, Lydia, Rylee on various topics in the early evening.\",\"I spent 14 talking to Hazel, Eva, Lydia, Rylee on various topics in the early evening.\"\n30407,2018/12/31,I talked to Piper for 31 minutes during lunch hours.,I talked to Piper for 31 minutes during lunch hours.\n30408,2018/12/31,I talked to Lydia for 44 minutes in the early evening.,I talked to Lydia for 44 minutes in the early evening.\n30409,2018/12/31,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n30410,2018/12/31,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n30411,2019/01/01,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n30412,2019/01/01,\"I went grocery shopping. I bought some apples, blackberries, peaches, blueberries, guava juice, orange juice, soda, and facial wash, toothpaste\",\"I went grocery shopping. I bought some apples, blackberries, peaches, blueberries, guava juice, orange juice, soda, and facial wash, toothpaste\"\n30413,2019/01/01,\"I had peanut-butter-jam for breakfast with Carter, Emily, Andrew, Kayden\",\"I had peanut-butter-jam for breakfast with Carter, Emily, Andrew, Kayden\"\n30414,2019/01/01,\"I had lunch with Carter, Kayden, Emily, Andrew. I ate tacos.\",\"I had lunch with Carter, Kayden, Emily, Andrew. I ate tacos.\"\n30415,2019/01/01,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n30416,2019/01/01,I spent 44 talking to Kinsley on various topics in the early evening.,I spent 44 talking to Kinsley on various topics in the early evening.\n30417,2019/01/01,\"I spent 28 talking to Nora, Olivia, Piper, Layla on various topics during lunch hours.\",\"I spent 28 talking to Nora, Olivia, Piper, Layla on various topics during lunch hours.\"\n30418,2019/01/01,I talked to Nevaeh for 11 minutes in the early afternoon.,I talked to Nevaeh for 11 minutes in the early afternoon.\n30419,2019/01/01,I watched a documentary for 49 minutes on TV today.,I watched a documentary for 49 minutes on TV today.\n30420,2019/01/02,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n30421,2019/01/02,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n30422,2019/01/02,I had indian food for dinner with Emily,I had indian food for dinner with Emily\n30423,2019/01/02,\"I talked to Piper, Lydia, Piper for 36 minutes in the morning.\",\"I talked to Piper, Lydia, Piper for 36 minutes in the morning.\"\n30424,2019/01/02,I talked to Layla for 48 minutes late in the evening.,I talked to Layla for 48 minutes late in the evening.\n30425,2019/01/02,\"I talked to Piper, Kinsley, Eva, Piper for 28 minutes in the early evening.\",\"I talked to Piper, Kinsley, Eva, Piper for 28 minutes in the early evening.\"\n30426,2019/01/02,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n30427,2019/01/02,I spent 29 minutes watching a documentary on TV today.,I spent 29 minutes watching a documentary on TV today.\n30428,2019/01/03,I did biking on 2019/01/03.,I did biking on 2019/01/03.\n30429,2019/01/03,\"I had peanut-butter-jam for breakfast with Andrew, Emily\",\"I had peanut-butter-jam for breakfast with Andrew, Emily\"\n30430,2019/01/03,\"I had chinese food for lunch with Emily, Carter\",\"I had chinese food for lunch with Emily, Carter\"\n30431,2019/01/03,I had dinner with Avery. I ate sandwich.,I had dinner with Avery. I ate sandwich.\n30432,2019/01/03,\"I talked to Eva, Nora, Olivia for 48 minutes in the morning.\",\"I talked to Eva, Nora, Olivia for 48 minutes in the morning.\"\n30433,2019/01/03,\"I spent 13 talking to Claire, Eva, Piper on various topics in the early evening.\",\"I spent 13 talking to Claire, Eva, Piper on various topics in the early evening.\"\n30434,2019/01/03,I spent 36 talking to Nevaeh on various topics in the early afternoon.,I spent 36 talking to Nevaeh on various topics in the early afternoon.\n30435,2019/01/03,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n30436,2019/01/03,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n30437,2019/01/04,I did weight lifting on 2019/01/04.,I did weight lifting on 2019/01/04.\n30438,2019/01/04,\"I had breakfast with Carter, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Emily. I ate eggs, sausages, and bread.\"\n30439,2019/01/04,\"I had tacos for lunch with Emily, Carter, Andrew\",\"I had tacos for lunch with Emily, Carter, Andrew\"\n30440,2019/01/04,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n30441,2019/01/04,\"I talked to Layla, Nevaeh for 16 minutes in the morning.\",\"I talked to Layla, Nevaeh for 16 minutes in the morning.\"\n30442,2019/01/04,\"I spent 30 talking to Eva, Claire, Olivia, Piper on various topics during lunch hours.\",\"I spent 30 talking to Eva, Claire, Olivia, Piper on various topics during lunch hours.\"\n30443,2019/01/04,I talked to Piper for 7 minutes in the morning.,I talked to Piper for 7 minutes in the morning.\n30444,2019/01/04,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n30445,2019/01/04,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n30446,2019/01/05,I did biking on 2019/01/05.,I did biking on 2019/01/05.\n30447,2019/01/05,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n30448,2019/01/05,I ate chinese food for lunch.,I ate chinese food for lunch.\n30449,2019/01/05,\"I had dinner with Lydia, Kinsley, Hazel, Claire, Layla, Nevaeh, Rylee, Nora, Avery, Piper, Eva. I ate indian food.\",\"I had dinner with Lydia, Kinsley, Hazel, Claire, Layla, Nevaeh, Rylee, Nora, Avery, Piper, Eva. I ate indian food.\"\n30450,2019/01/05,\"I talked to Lydia, Avery, Nora for 26 minutes in the early afternoon.\",\"I talked to Lydia, Avery, Nora for 26 minutes in the early afternoon.\"\n30451,2019/01/05,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n30452,2019/01/05,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n30453,2019/01/06,I did weight lifting on 2019/01/06.,I did weight lifting on 2019/01/06.\n30454,2019/01/06,I had pancakes for breakfast with Emily,I had pancakes for breakfast with Emily\n30455,2019/01/06,\"I had lunch with Andrew, Kayden. I ate indian food.\",\"I had lunch with Andrew, Kayden. I ate indian food.\"\n30456,2019/01/06,I had dinner. I ate steak.,I had dinner. I ate steak.\n30457,2019/01/06,I spent 25 talking to Nora on various topics in the late afternoon.,I spent 25 talking to Nora on various topics in the late afternoon.\n30458,2019/01/06,\"I talked to Lydia, Piper, Nora for 16 minutes during lunch hours.\",\"I talked to Lydia, Piper, Nora for 16 minutes during lunch hours.\"\n30459,2019/01/06,\"I spent 16 talking to Kinsley, Nora, Layla, Rylee on various topics in the morning.\",\"I spent 16 talking to Kinsley, Nora, Layla, Rylee on various topics in the morning.\"\n30460,2019/01/06,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n30461,2019/01/06,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n30462,2019/01/07,\"I bought some nectarines, peaches, guava, mango juice, mineral water, coffee, shampoo, conditioner, mouth wash from the grocery store. I saw Andrew, Kayden at the grocery store.\",\"I bought some nectarines, peaches, guava, mango juice, mineral water, coffee, shampoo, conditioner, mouth wash from the grocery store. I saw Andrew, Kayden at the grocery store.\"\n30463,2019/01/07,I did swimming on 2019/01/07.,I did swimming on 2019/01/07.\n30464,2019/01/07,I had pancakes for breakfast with Emily,I had pancakes for breakfast with Emily\n30465,2019/01/07,\"I had lunch with Hazel, Nevaeh, Piper, Claire, Eva, Layla, Avery, Lydia, Kinsley, Nora, Olivia. I ate fish and chips.\",\"I had lunch with Hazel, Nevaeh, Piper, Claire, Eva, Layla, Avery, Lydia, Kinsley, Nora, Olivia. I ate fish and chips.\"\n30466,2019/01/07,I prepare indian food for dinner.,I prepare indian food for dinner.\n30467,2019/01/07,\"I talked to Rylee, Kinsley, Claire for 9 minutes during lunch hours.\",\"I talked to Rylee, Kinsley, Claire for 9 minutes during lunch hours.\"\n30468,2019/01/07,\"I spent 42 talking to Piper, Nevaeh on various topics late in the evening.\",\"I spent 42 talking to Piper, Nevaeh on various topics late in the evening.\"\n30469,2019/01/07,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n30470,2019/01/07,I watched a movie for 17 minutes on TV today.,I watched a movie for 17 minutes on TV today.\n30471,2019/01/08,I really enjoyed working out on 2019/01/08,I really enjoyed working out on 2019/01/08\n30472,2019/01/08,I did HIIT on 2019/01/08.,I did HIIT on 2019/01/08.\n30473,2019/01/08,\"I had breakfast with Carter, Emily, Kayden. I ate cereals.\",\"I had breakfast with Carter, Emily, Kayden. I ate cereals.\"\n30474,2019/01/08,\"I had indian food for lunch with Andrew, Carter\",\"I had indian food for lunch with Andrew, Carter\"\n30475,2019/01/08,\"I had dinner with Claire, Avery. I ate steak.\",\"I had dinner with Claire, Avery. I ate steak.\"\n30476,2019/01/08,\"I spent 54 talking to Piper, Lydia on various topics in the morning.\",\"I spent 54 talking to Piper, Lydia on various topics in the morning.\"\n30477,2019/01/08,\"I talked to Piper, Piper for 17 minutes in the late afternoon.\",\"I talked to Piper, Piper for 17 minutes in the late afternoon.\"\n30478,2019/01/08,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n30479,2019/01/08,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n30480,2019/01/09,I did biking on 2019/01/09.,I did biking on 2019/01/09.\n30481,2019/01/09,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n30482,2019/01/09,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n30483,2019/01/09,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n30484,2019/01/09,I talked to Nevaeh for 24 minutes in the late afternoon.,I talked to Nevaeh for 24 minutes in the late afternoon.\n30485,2019/01/09,I talked to Piper for 5 minutes during lunch hours.,I talked to Piper for 5 minutes during lunch hours.\n30486,2019/01/09,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n30487,2019/01/09,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n30488,2019/01/10,\"I went grocery shopping. I bought some watermelons, tea, coffee, and toothbrush, toilet paper, facial wash, paper towel\",\"I went grocery shopping. I bought some watermelons, tea, coffee, and toothbrush, toilet paper, facial wash, paper towel\"\n30489,2019/01/10,I did biking on 2019/01/10.,I did biking on 2019/01/10.\n30490,2019/01/10,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n30491,2019/01/10,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n30492,2019/01/10,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n30493,2019/01/10,\"I spent 6 talking to Avery, Eva on various topics in the early evening.\",\"I spent 6 talking to Avery, Eva on various topics in the early evening.\"\n30494,2019/01/10,I spent 52 talking to Piper on various topics in the early afternoon.,I spent 52 talking to Piper on various topics in the early afternoon.\n30495,2019/01/10,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n30496,2019/01/10,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n30497,2019/01/11,I did hiking on 2019/01/11.,I did hiking on 2019/01/11.\n30498,2019/01/11,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n30499,2019/01/11,I ate pasta for lunch.,I ate pasta for lunch.\n30500,2019/01/11,\"I had dinner with Hazel, Avery, Nora, Piper, Layla, Nevaeh. I ate fish and chips.\",\"I had dinner with Hazel, Avery, Nora, Piper, Layla, Nevaeh. I ate fish and chips.\"\n30501,2019/01/11,\"I spent 48 talking to Piper, Hazel on various topics during lunch hours.\",\"I spent 48 talking to Piper, Hazel on various topics during lunch hours.\"\n30502,2019/01/11,\"I talked to Nevaeh, Hazel, Avery for 13 minutes in the early evening.\",\"I talked to Nevaeh, Hazel, Avery for 13 minutes in the early evening.\"\n30503,2019/01/11,\"I talked to Lydia, Kinsley, Eva, Hazel for 16 minutes in the early evening.\",\"I talked to Lydia, Kinsley, Eva, Hazel for 16 minutes in the early evening.\"\n30504,2019/01/11,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n30505,2019/01/11,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n30506,2019/01/12,\"I went grocery shopping. I bought some apples, milk, and paper towel, toothbrush\",\"I went grocery shopping. I bought some apples, milk, and paper towel, toothbrush\"\n30507,2019/01/12,I did hiking on 2019/01/12.,I did hiking on 2019/01/12.\n30508,2019/01/12,\"I had breakfast with Emily, Carter, Kayden, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Carter, Kayden, Andrew. I ate peanut-butter-jam.\"\n30509,2019/01/12,\"I had lunch with Rylee, Lydia, Claire, Nevaeh, Kinsley, Piper, Avery, Hazel, Layla, Nora. I ate sushi.\",\"I had lunch with Rylee, Lydia, Claire, Nevaeh, Kinsley, Piper, Avery, Hazel, Layla, Nora. I ate sushi.\"\n30510,2019/01/12,I prepare indian food for dinner.,I prepare indian food for dinner.\n30511,2019/01/12,\"I spent 16 talking to Nora, Rylee on various topics in the morning.\",\"I spent 16 talking to Nora, Rylee on various topics in the morning.\"\n30512,2019/01/12,\"I talked to Eva, Hazel, Piper for 22 minutes late in the evening.\",\"I talked to Eva, Hazel, Piper for 22 minutes late in the evening.\"\n30513,2019/01/12,I spent 31 talking to Piper on various topics in the early evening.,I spent 31 talking to Piper on various topics in the early evening.\n30514,2019/01/12,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n30515,2019/01/12,I spent 40 minutes watching a movie on TV today.,I spent 40 minutes watching a movie on TV today.\n30516,2019/01/13,I did biking on 2019/01/13.,I did biking on 2019/01/13.\n30517,2019/01/13,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n30518,2019/01/13,I ate sushi for lunch.,I ate sushi for lunch.\n30519,2019/01/13,\"I had tacos for dinner with Kayden, Andrew\",\"I had tacos for dinner with Kayden, Andrew\"\n30520,2019/01/13,\"I spent 30 talking to Piper, Hazel on various topics in the late afternoon.\",\"I spent 30 talking to Piper, Hazel on various topics in the late afternoon.\"\n30521,2019/01/13,\"I talked to Hazel, Rylee, Olivia for 20 minutes during lunch hours.\",\"I talked to Hazel, Rylee, Olivia for 20 minutes during lunch hours.\"\n30522,2019/01/13,\"I spent 51 talking to Piper, Lydia on various topics in the early afternoon.\",\"I spent 51 talking to Piper, Lydia on various topics in the early afternoon.\"\n30523,2019/01/13,I spent 12 talking to Nora on various topics in the late afternoon.,I spent 12 talking to Nora on various topics in the late afternoon.\n30524,2019/01/13,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n30525,2019/01/13,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n30526,2019/01/14,\"On 2019/01/14, I took Lincoln on a date to a boba shop\",\"On 2019/01/14, I took Lincoln on a date to a boba shop\"\n30527,2019/01/14,I did HIIT on 2019/01/14.,I did HIIT on 2019/01/14.\n30528,2019/01/14,\"I had oatmeal for breakfast with Layla, Lydia, Nevaeh, Nora, Claire, Piper, Eva, Piper, Kinsley, Hazel\",\"I had oatmeal for breakfast with Layla, Lydia, Nevaeh, Nora, Claire, Piper, Eva, Piper, Kinsley, Hazel\"\n30529,2019/01/14,\"I had a burger for lunch with Lydia, Layla, Nevaeh, Piper, Kinsley, Piper, Hazel, Nora, Eva, Olivia, Avery, Rylee, Claire\",\"I had a burger for lunch with Lydia, Layla, Nevaeh, Piper, Kinsley, Piper, Hazel, Nora, Eva, Olivia, Avery, Rylee, Claire\"\n30530,2019/01/14,I ate tacos for dinner.,I ate tacos for dinner.\n30531,2019/01/14,\"I spent 19 talking to Rylee, Eva, Piper on various topics in the early afternoon.\",\"I spent 19 talking to Rylee, Eva, Piper on various topics in the early afternoon.\"\n30532,2019/01/14,\"I spent 43 talking to Piper, Layla, Nevaeh on various topics in the early evening.\",\"I spent 43 talking to Piper, Layla, Nevaeh on various topics in the early evening.\"\n30533,2019/01/14,\"I talked to Hazel, Claire for 35 minutes in the early evening.\",\"I talked to Hazel, Claire for 35 minutes in the early evening.\"\n30534,2019/01/14,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n30535,2019/01/14,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n30536,2019/01/15,I did weight lifting on 2019/01/15.,I did weight lifting on 2019/01/15.\n30537,2019/01/15,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n30538,2019/01/15,I had lunch with Carter. I ate indian food.,I had lunch with Carter. I ate indian food.\n30539,2019/01/15,\"I had dinner with Emily, Kayden, Carter. I ate steak.\",\"I had dinner with Emily, Kayden, Carter. I ate steak.\"\n30540,2019/01/15,\"I talked to Layla, Avery, Claire, Eva for 20 minutes in the morning.\",\"I talked to Layla, Avery, Claire, Eva for 20 minutes in the morning.\"\n30541,2019/01/15,I talked to Rylee for 15 minutes late in the evening.,I talked to Rylee for 15 minutes late in the evening.\n30542,2019/01/15,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n30543,2019/01/15,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n30544,2019/01/16,\"I had eggs, sausages, and bread for breakfast with Andrew, Carter, Kayden, Emily\",\"I had eggs, sausages, and bread for breakfast with Andrew, Carter, Kayden, Emily\"\n30545,2019/01/16,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n30546,2019/01/16,I prepare pasta for dinner.,I prepare pasta for dinner.\n30547,2019/01/16,\"I spent 10 talking to Piper, Kinsley on various topics in the early afternoon.\",\"I spent 10 talking to Piper, Kinsley on various topics in the early afternoon.\"\n30548,2019/01/16,I spent 31 talking to Piper on various topics in the late afternoon.,I spent 31 talking to Piper on various topics in the late afternoon.\n30549,2019/01/16,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n30550,2019/01/16,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n30551,2019/01/17,I took my parents for their for an annual dental cleaning and checkup on 2019/01/17 at the hospital.,I took my parents for their for an annual dental cleaning and checkup on 2019/01/17 at the hospital.\n30552,2019/01/17,\"I went grocery shopping with Nevaeh, Lydia, Nora, Hazel, Olivia, Claire, Piper, Layla, Eva, Kinsley, Avery, Rylee, Piper. I bought some blackberries, peaches, bananas, pineapple juice, orange juice, coffee, apple juice, and toothbrush\",\"I went grocery shopping with Nevaeh, Lydia, Nora, Hazel, Olivia, Claire, Piper, Layla, Eva, Kinsley, Avery, Rylee, Piper. I bought some blackberries, peaches, bananas, pineapple juice, orange juice, coffee, apple juice, and toothbrush\"\n30553,2019/01/17,I did HIIT on 2019/01/17.,I did HIIT on 2019/01/17.\n30554,2019/01/17,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n30555,2019/01/17,I had steak for lunch with Kayden,I had steak for lunch with Kayden\n30556,2019/01/17,I ate sushi for dinner.,I ate sushi for dinner.\n30557,2019/01/17,\"I spent 14 talking to Hazel, Rylee, Kinsley on various topics in the early afternoon.\",\"I spent 14 talking to Hazel, Rylee, Kinsley on various topics in the early afternoon.\"\n30558,2019/01/17,\"I talked to Claire, Layla, Piper for 40 minutes in the early afternoon.\",\"I talked to Claire, Layla, Piper for 40 minutes in the early afternoon.\"\n30559,2019/01/17,\"I talked to Avery, Rylee for 20 minutes in the early evening.\",\"I talked to Avery, Rylee for 20 minutes in the early evening.\"\n30560,2019/01/17,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n30561,2019/01/17,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n30562,2019/01/18,I spent some time yoga on 2019/01/18.,I spent some time yoga on 2019/01/18.\n30563,2019/01/18,\"I went grocery shopping. I bought some oranges, guava juice, pineapple juice, tea, and mouthwash, toilet paper, facial wash\",\"I went grocery shopping. I bought some oranges, guava juice, pineapple juice, tea, and mouthwash, toilet paper, facial wash\"\n30564,2019/01/18,I did biking on 2019/01/18.,I did biking on 2019/01/18.\n30565,2019/01/18,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n30566,2019/01/18,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n30567,2019/01/18,\"I had indian food for dinner with Nora, Claire, Hazel, Lydia, Avery, Olivia, Piper, Kinsley\",\"I had indian food for dinner with Nora, Claire, Hazel, Lydia, Avery, Olivia, Piper, Kinsley\"\n30568,2019/01/18,\"I spent 18 talking to Kinsley, Piper, Layla on various topics in the early evening.\",\"I spent 18 talking to Kinsley, Piper, Layla on various topics in the early evening.\"\n30569,2019/01/18,\"I spent 52 talking to Layla, Hazel, Olivia, Lydia on various topics in the early evening.\",\"I spent 52 talking to Layla, Hazel, Olivia, Lydia on various topics in the early evening.\"\n30570,2019/01/18,\"I talked to Nora, Layla for 15 minutes in the late afternoon.\",\"I talked to Nora, Layla for 15 minutes in the late afternoon.\"\n30571,2019/01/18,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n30572,2019/01/18,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n30573,2019/01/19,I did biking on 2019/01/19.,I did biking on 2019/01/19.\n30574,2019/01/19,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n30575,2019/01/19,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n30576,2019/01/19,\"I had dinner with Carter, Andrew. I ate fish and chips.\",\"I had dinner with Carter, Andrew. I ate fish and chips.\"\n30577,2019/01/19,I talked to Nora for 20 minutes in the late afternoon.,I talked to Nora for 20 minutes in the late afternoon.\n30578,2019/01/19,\"I spent 9 talking to Olivia, Nevaeh, Piper on various topics late in the evening.\",\"I spent 9 talking to Olivia, Nevaeh, Piper on various topics late in the evening.\"\n30579,2019/01/19,\"I talked to Nora, Hazel, Eva, Nevaeh for 52 minutes during lunch hours.\",\"I talked to Nora, Hazel, Eva, Nevaeh for 52 minutes during lunch hours.\"\n30580,2019/01/19,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n30581,2019/01/19,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n30582,2019/01/20,I did HIIT on 2019/01/20.,I did HIIT on 2019/01/20.\n30583,2019/01/20,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n30584,2019/01/20,\"I had pasta for lunch with Carter, Emily, Andrew, Kayden\",\"I had pasta for lunch with Carter, Emily, Andrew, Kayden\"\n30585,2019/01/20,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n30586,2019/01/20,I spent 31 talking to Nevaeh on various topics during lunch hours.,I spent 31 talking to Nevaeh on various topics during lunch hours.\n30587,2019/01/20,\"I talked to Eva, Claire, Hazel, Kinsley for 43 minutes in the late afternoon.\",\"I talked to Eva, Claire, Hazel, Kinsley for 43 minutes in the late afternoon.\"\n30588,2019/01/20,\"I spent 49 talking to Piper, Avery, Olivia, Hazel on various topics in the late afternoon.\",\"I spent 49 talking to Piper, Avery, Olivia, Hazel on various topics in the late afternoon.\"\n30589,2019/01/20,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n30590,2019/01/20,I spent 22 minutes watching a movie on TV today.,I spent 22 minutes watching a movie on TV today.\n30591,2019/01/21,I did HIIT on 2019/01/21.,I did HIIT on 2019/01/21.\n30592,2019/01/21,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n30593,2019/01/21,\"I had pasta for lunch with Carter, Emily\",\"I had pasta for lunch with Carter, Emily\"\n30594,2019/01/21,I ate a burger for dinner.,I ate a burger for dinner.\n30595,2019/01/21,\"I talked to Piper, Layla for 27 minutes in the late afternoon.\",\"I talked to Piper, Layla for 27 minutes in the late afternoon.\"\n30596,2019/01/21,\"I spent 16 talking to Rylee, Lydia, Avery, Piper on various topics in the early evening.\",\"I spent 16 talking to Rylee, Lydia, Avery, Piper on various topics in the early evening.\"\n30597,2019/01/21,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n30598,2019/01/21,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n30599,2019/01/22,I did HIIT on 2019/01/22.,I did HIIT on 2019/01/22.\n30600,2019/01/22,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n30601,2019/01/22,I ate chinese food for lunch.,I ate chinese food for lunch.\n30602,2019/01/22,\"I had fish and chips for dinner with Andrew, Emily, Carter\",\"I had fish and chips for dinner with Andrew, Emily, Carter\"\n30603,2019/01/22,\"I spent 25 talking to Rylee, Nora on various topics in the early evening.\",\"I spent 25 talking to Rylee, Nora on various topics in the early evening.\"\n30604,2019/01/22,\"I spent 33 talking to Hazel, Piper on various topics during lunch hours.\",\"I spent 33 talking to Hazel, Piper on various topics during lunch hours.\"\n30605,2019/01/22,I spent 39 talking to Kinsley on various topics in the late afternoon.,I spent 39 talking to Kinsley on various topics in the late afternoon.\n30606,2019/01/22,\"I talked to Piper, Kinsley, Piper, Hazel for 39 minutes in the late afternoon.\",\"I talked to Piper, Kinsley, Piper, Hazel for 39 minutes in the late afternoon.\"\n30607,2019/01/22,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n30608,2019/01/22,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n30609,2019/01/23,I did weight lifting on 2019/01/23.,I did weight lifting on 2019/01/23.\n30610,2019/01/23,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n30611,2019/01/23,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n30612,2019/01/23,I prepare steak for dinner.,I prepare steak for dinner.\n30613,2019/01/23,I spent 6 talking to Eva on various topics late in the evening.,I spent 6 talking to Eva on various topics late in the evening.\n30614,2019/01/23,I talked to Layla for 55 minutes late in the evening.,I talked to Layla for 55 minutes late in the evening.\n30615,2019/01/23,I spent 7 talking to Avery on various topics late in the evening.,I spent 7 talking to Avery on various topics late in the evening.\n30616,2019/01/23,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n30617,2019/01/23,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n30618,2019/01/24,I did swimming on 2019/01/24.,I did swimming on 2019/01/24.\n30619,2019/01/24,\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate peanut-butter-jam.\"\n30620,2019/01/24,I ate sandwich for lunch.,I ate sandwich for lunch.\n30621,2019/01/24,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n30622,2019/01/24,\"I talked to Avery, Lydia for 8 minutes in the early afternoon.\",\"I talked to Avery, Lydia for 8 minutes in the early afternoon.\"\n30623,2019/01/24,\"I talked to Kinsley, Eva for 52 minutes during lunch hours.\",\"I talked to Kinsley, Eva for 52 minutes during lunch hours.\"\n30624,2019/01/24,\"I talked to Layla, Hazel, Claire for 55 minutes in the late afternoon.\",\"I talked to Layla, Hazel, Claire for 55 minutes in the late afternoon.\"\n30625,2019/01/24,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n30626,2019/01/24,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n30627,2019/01/25,I did swimming on 2019/01/25.,I did swimming on 2019/01/25.\n30628,2019/01/25,\"I had cereals for breakfast with Kayden, Andrew\",\"I had cereals for breakfast with Kayden, Andrew\"\n30629,2019/01/25,I prepare a burger for lunch.,I prepare a burger for lunch.\n30630,2019/01/25,\"I had dinner with Carter, Andrew. I ate tacos.\",\"I had dinner with Carter, Andrew. I ate tacos.\"\n30631,2019/01/25,\"I talked to Olivia, Lydia, Hazel, Rylee for 27 minutes late in the evening.\",\"I talked to Olivia, Lydia, Hazel, Rylee for 27 minutes late in the evening.\"\n30632,2019/01/25,\"I spent 50 talking to Nora, Layla, Avery, Piper on various topics late in the evening.\",\"I spent 50 talking to Nora, Layla, Avery, Piper on various topics late in the evening.\"\n30633,2019/01/25,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n30634,2019/01/25,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n30635,2019/01/26,\"I went grocery shopping. I bought some pears, guava juice, pineapple juice, and conditioner\",\"I went grocery shopping. I bought some pears, guava juice, pineapple juice, and conditioner\"\n30636,2019/01/26,I did hiking on 2019/01/26.,I did hiking on 2019/01/26.\n30637,2019/01/26,\"I had oatmeal for breakfast with Lydia, Claire, Nora, Olivia, Kinsley, Avery, Hazel, Piper, Rylee\",\"I had oatmeal for breakfast with Lydia, Claire, Nora, Olivia, Kinsley, Avery, Hazel, Piper, Rylee\"\n30638,2019/01/26,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n30639,2019/01/26,\"I had pasta for dinner with Emily, Carter, Andrew\",\"I had pasta for dinner with Emily, Carter, Andrew\"\n30640,2019/01/26,\"I talked to Lydia, Piper for 37 minutes in the early afternoon.\",\"I talked to Lydia, Piper for 37 minutes in the early afternoon.\"\n30641,2019/01/26,\"I spent 21 talking to Rylee, Kinsley, Layla on various topics during lunch hours.\",\"I spent 21 talking to Rylee, Kinsley, Layla on various topics during lunch hours.\"\n30642,2019/01/26,\"I spent 22 talking to Nevaeh, Kinsley on various topics in the early afternoon.\",\"I spent 22 talking to Nevaeh, Kinsley on various topics in the early afternoon.\"\n30643,2019/01/26,I spent 41 talking to Claire on various topics during lunch hours.,I spent 41 talking to Claire on various topics during lunch hours.\n30644,2019/01/26,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n30645,2019/01/26,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n30646,2019/01/27,I did running on 2019/01/27.,I did running on 2019/01/27.\n30647,2019/01/27,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n30648,2019/01/27,\"I had lunch with Avery, Willow. I ate fish and chips.\",\"I had lunch with Avery, Willow. I ate fish and chips.\"\n30649,2019/01/27,I ate sushi for dinner.,I ate sushi for dinner.\n30650,2019/01/27,\"I talked to Olivia, Piper, Nora, Kinsley for 26 minutes during lunch hours.\",\"I talked to Olivia, Piper, Nora, Kinsley for 26 minutes during lunch hours.\"\n30651,2019/01/27,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n30652,2019/01/27,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n30653,2019/01/28,I went on a date with Claire on 2019/01/28 at a coffee Shop,I went on a date with Claire on 2019/01/28 at a coffee Shop\n30654,2019/01/28,I did HIIT on 2019/01/28.,I did HIIT on 2019/01/28.\n30655,2019/01/28,\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew, Emily\",\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew, Emily\"\n30656,2019/01/28,\"I had a burger for lunch with Kayden, Andrew, Emily, Carter\",\"I had a burger for lunch with Kayden, Andrew, Emily, Carter\"\n30657,2019/01/28,I ate tacos for dinner.,I ate tacos for dinner.\n30658,2019/01/28,\"I talked to Eva, Kinsley, Nevaeh, Hazel for 6 minutes during lunch hours.\",\"I talked to Eva, Kinsley, Nevaeh, Hazel for 6 minutes during lunch hours.\"\n30659,2019/01/28,\"I spent 8 talking to Rylee, Claire, Kinsley on various topics during lunch hours.\",\"I spent 8 talking to Rylee, Claire, Kinsley on various topics during lunch hours.\"\n30660,2019/01/28,I spent 22 talking to Nora on various topics in the late afternoon.,I spent 22 talking to Nora on various topics in the late afternoon.\n30661,2019/01/28,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n30662,2019/01/28,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n30663,2019/01/29,I did running on 2019/01/29.,I did running on 2019/01/29.\n30664,2019/01/29,\"I had peanut-butter-jam for breakfast with Avery, Willow, Jackson\",\"I had peanut-butter-jam for breakfast with Avery, Willow, Jackson\"\n30665,2019/01/29,I prepare indian food for lunch.,I prepare indian food for lunch.\n30666,2019/01/29,\"I had chinese food for dinner with Hazel, Piper, Nevaeh, Nora, Lydia, Piper, Olivia, Layla, Rylee, Kinsley, Claire\",\"I had chinese food for dinner with Hazel, Piper, Nevaeh, Nora, Lydia, Piper, Olivia, Layla, Rylee, Kinsley, Claire\"\n30667,2019/01/29,\"I talked to Claire, Rylee for 54 minutes late in the evening.\",\"I talked to Claire, Rylee for 54 minutes late in the evening.\"\n30668,2019/01/29,\"I talked to Hazel, Avery, Piper, Nora for 42 minutes in the late afternoon.\",\"I talked to Hazel, Avery, Piper, Nora for 42 minutes in the late afternoon.\"\n30669,2019/01/29,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n30670,2019/01/29,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n30671,2019/01/30,\"I entertained Emily, Carter, Andrew at my place on 2019/01/30 and bake carrot cake\",\"I entertained Emily, Carter, Andrew at my place on 2019/01/30 and bake carrot cake\"\n30672,2019/01/30,\"On 2019/01/30, I took Easton on a date to a park\",\"On 2019/01/30, I took Easton on a date to a park\"\n30673,2019/01/30,\"I went grocery shopping. I bought some oranges, bananas, soda, milk, and shampoo, body lotion, toilet paper\",\"I went grocery shopping. I bought some oranges, bananas, soda, milk, and shampoo, body lotion, toilet paper\"\n30674,2019/01/30,I did HIIT on 2019/01/30.,I did HIIT on 2019/01/30.\n30675,2019/01/30,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n30676,2019/01/30,\"I had lunch with Kayden, Emily. I ate fish and chips.\",\"I had lunch with Kayden, Emily. I ate fish and chips.\"\n30677,2019/01/30,I prepare a burger for dinner.,I prepare a burger for dinner.\n30678,2019/01/30,I spent 42 talking to Nevaeh on various topics in the morning.,I spent 42 talking to Nevaeh on various topics in the morning.\n30679,2019/01/30,\"I talked to Rylee, Hazel, Kinsley, Lydia for 37 minutes in the early evening.\",\"I talked to Rylee, Hazel, Kinsley, Lydia for 37 minutes in the early evening.\"\n30680,2019/01/30,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n30681,2019/01/30,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n30682,2019/01/31,I did HIIT on 2019/01/31.,I did HIIT on 2019/01/31.\n30683,2019/01/31,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n30684,2019/01/31,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n30685,2019/01/31,\"I had dinner with Piper, Olivia, Nora, Piper, Eva, Nevaeh, Claire, Avery. I ate steak.\",\"I had dinner with Piper, Olivia, Nora, Piper, Eva, Nevaeh, Claire, Avery. I ate steak.\"\n30686,2019/01/31,\"I spent 20 talking to Layla, Hazel on various topics in the late afternoon.\",\"I spent 20 talking to Layla, Hazel on various topics in the late afternoon.\"\n30687,2019/01/31,\"I spent 44 talking to Olivia, Kinsley, Eva, Rylee on various topics late in the evening.\",\"I spent 44 talking to Olivia, Kinsley, Eva, Rylee on various topics late in the evening.\"\n30688,2019/01/31,\"I spent 8 talking to Eva, Hazel, Kinsley on various topics late in the evening.\",\"I spent 8 talking to Eva, Hazel, Kinsley on various topics late in the evening.\"\n30689,2019/01/31,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n30690,2019/01/31,I watched a tv series for 30 minutes on TV today.,I watched a tv series for 30 minutes on TV today.\n30691,2019/02/01,I did running on 2019/02/01.,I did running on 2019/02/01.\n30692,2019/02/01,\"I had breakfast with Layla, Avery, Olivia, Nora, Piper, Lydia, Eva. I ate oatmeal.\",\"I had breakfast with Layla, Avery, Olivia, Nora, Piper, Lydia, Eva. I ate oatmeal.\"\n30693,2019/02/01,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n30694,2019/02/01,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n30695,2019/02/01,\"I talked to Nevaeh, Lydia for 29 minutes in the early evening.\",\"I talked to Nevaeh, Lydia for 29 minutes in the early evening.\"\n30696,2019/02/01,\"I spent 48 talking to Rylee, Nevaeh on various topics during lunch hours.\",\"I spent 48 talking to Rylee, Nevaeh on various topics during lunch hours.\"\n30697,2019/02/01,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n30698,2019/02/01,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n30699,2019/02/02,I went on a date with Ariana on 2019/02/02 at a coffee Shop,I went on a date with Ariana on 2019/02/02 at a coffee Shop\n30700,2019/02/02,I did HIIT on 2019/02/02.,I did HIIT on 2019/02/02.\n30701,2019/02/02,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n30702,2019/02/02,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n30703,2019/02/02,I ate tacos for dinner.,I ate tacos for dinner.\n30704,2019/02/02,I spent 25 talking to Avery on various topics in the morning.,I spent 25 talking to Avery on various topics in the morning.\n30705,2019/02/02,I spent 34 talking to Layla on various topics in the morning.,I spent 34 talking to Layla on various topics in the morning.\n30706,2019/02/02,\"I talked to Eva, Rylee for 10 minutes in the early evening.\",\"I talked to Eva, Rylee for 10 minutes in the early evening.\"\n30707,2019/02/02,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n30708,2019/02/02,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n30709,2019/02/03,I spent some time gardening on 2019/02/03.,I spent some time gardening on 2019/02/03.\n30710,2019/02/03,I did swimming on 2019/02/03.,I did swimming on 2019/02/03.\n30711,2019/02/03,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n30712,2019/02/03,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n30713,2019/02/03,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n30714,2019/02/03,\"I spent 17 talking to Piper, Nevaeh, Lydia on various topics in the early afternoon.\",\"I spent 17 talking to Piper, Nevaeh, Lydia on various topics in the early afternoon.\"\n30715,2019/02/03,\"I spent 51 talking to Rylee, Piper, Olivia, Claire on various topics late in the evening.\",\"I spent 51 talking to Rylee, Piper, Olivia, Claire on various topics late in the evening.\"\n30716,2019/02/03,\"I spent 18 talking to Hazel, Lydia, Olivia, Kinsley on various topics in the early evening.\",\"I spent 18 talking to Hazel, Lydia, Olivia, Kinsley on various topics in the early evening.\"\n30717,2019/02/03,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n30718,2019/02/03,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n30719,2019/02/04,\"I went grocery shopping with Avery, Jackson, Willow. I bought some pineapples, mandarins, strawberries, peaches, guava juice, and shaving cream\",\"I went grocery shopping with Avery, Jackson, Willow. I bought some pineapples, mandarins, strawberries, peaches, guava juice, and shaving cream\"\n30720,2019/02/04,I did weight lifting on 2019/02/04.,I did weight lifting on 2019/02/04.\n30721,2019/02/04,\"I had breakfast with Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter. I ate eggs, sausages, and bread.\"\n30722,2019/02/04,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n30723,2019/02/04,I prepare indian food for dinner.,I prepare indian food for dinner.\n30724,2019/02/04,\"I talked to Claire, Kinsley for 17 minutes in the late afternoon.\",\"I talked to Claire, Kinsley for 17 minutes in the late afternoon.\"\n30725,2019/02/04,\"I spent 26 talking to Piper, Nora, Claire on various topics in the late afternoon.\",\"I spent 26 talking to Piper, Nora, Claire on various topics in the late afternoon.\"\n30726,2019/02/04,\"I spent 25 talking to Rylee, Layla on various topics in the morning.\",\"I spent 25 talking to Rylee, Layla on various topics in the morning.\"\n30727,2019/02/04,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n30728,2019/02/04,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n30729,2019/02/05,\"I bought some blackberries, guava, watermelons, sports drinks, toothbrush, toilet paper, mouthwash, shampoo from the grocery store. I saw Carter, Kayden, Andrew at the grocery store.\",\"I bought some blackberries, guava, watermelons, sports drinks, toothbrush, toilet paper, mouthwash, shampoo from the grocery store. I saw Carter, Kayden, Andrew at the grocery store.\"\n30730,2019/02/05,I did running on 2019/02/05.,I did running on 2019/02/05.\n30731,2019/02/05,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n30732,2019/02/05,I prepare indian food for lunch.,I prepare indian food for lunch.\n30733,2019/02/05,\"I had fish and chips for dinner with Carter, Andrew, Kayden, Emily\",\"I had fish and chips for dinner with Carter, Andrew, Kayden, Emily\"\n30734,2019/02/05,\"I spent 33 talking to Claire, Olivia, Piper on various topics late in the evening.\",\"I spent 33 talking to Claire, Olivia, Piper on various topics late in the evening.\"\n30735,2019/02/05,\"I spent 14 talking to Avery, Nora, Layla on various topics in the late afternoon.\",\"I spent 14 talking to Avery, Nora, Layla on various topics in the late afternoon.\"\n30736,2019/02/05,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n30737,2019/02/05,I watched a movie for 30 minutes on TV today.,I watched a movie for 30 minutes on TV today.\n30738,2019/02/06,I did HIIT on 2019/02/06.,I did HIIT on 2019/02/06.\n30739,2019/02/06,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n30740,2019/02/06,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n30741,2019/02/06,I had sandwich for dinner with Kayden,I had sandwich for dinner with Kayden\n30742,2019/02/06,I talked to Avery for 7 minutes in the early evening.,I talked to Avery for 7 minutes in the early evening.\n30743,2019/02/06,\"I spent 45 talking to Eva, Nora, Kinsley, Olivia on various topics in the morning.\",\"I spent 45 talking to Eva, Nora, Kinsley, Olivia on various topics in the morning.\"\n30744,2019/02/06,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n30745,2019/02/06,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n30746,2019/02/07,I did hiking on 2019/02/07.,I did hiking on 2019/02/07.\n30747,2019/02/07,I ate cereals for breakfast.,I ate cereals for breakfast.\n30748,2019/02/07,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n30749,2019/02/07,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n30750,2019/02/07,\"I talked to Layla, Avery for 23 minutes in the early evening.\",\"I talked to Layla, Avery for 23 minutes in the early evening.\"\n30751,2019/02/07,\"I spent 5 talking to Piper, Avery on various topics late in the evening.\",\"I spent 5 talking to Piper, Avery on various topics late in the evening.\"\n30752,2019/02/07,I talked to Rylee for 35 minutes in the early evening.,I talked to Rylee for 35 minutes in the early evening.\n30753,2019/02/07,\"I spent 9 talking to Nevaeh, Claire on various topics late in the evening.\",\"I spent 9 talking to Nevaeh, Claire on various topics late in the evening.\"\n30754,2019/02/07,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n30755,2019/02/07,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n30756,2019/02/08,I did biking on 2019/02/08.,I did biking on 2019/02/08.\n30757,2019/02/08,\"I had eggs, sausages, and bread for breakfast with Carter\",\"I had eggs, sausages, and bread for breakfast with Carter\"\n30758,2019/02/08,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n30759,2019/02/08,\"I had dinner with Emily, Carter, Kayden, Andrew. I ate chinese food.\",\"I had dinner with Emily, Carter, Kayden, Andrew. I ate chinese food.\"\n30760,2019/02/08,\"I spent 54 talking to Layla, Hazel, Piper, Avery on various topics in the late afternoon.\",\"I spent 54 talking to Layla, Hazel, Piper, Avery on various topics in the late afternoon.\"\n30761,2019/02/08,\"I spent 45 talking to Nora, Rylee, Piper on various topics in the early afternoon.\",\"I spent 45 talking to Nora, Rylee, Piper on various topics in the early afternoon.\"\n30762,2019/02/08,\"I spent 23 talking to Piper, Kinsley, Nevaeh, Hazel on various topics in the late afternoon.\",\"I spent 23 talking to Piper, Kinsley, Nevaeh, Hazel on various topics in the late afternoon.\"\n30763,2019/02/08,\"I spent 21 talking to Avery, Lydia, Olivia on various topics in the early evening.\",\"I spent 21 talking to Avery, Lydia, Olivia on various topics in the early evening.\"\n30764,2019/02/08,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n30765,2019/02/08,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n30766,2019/02/09,I spent time gardening on 2019/02/09 with Hazel.,I spent time gardening on 2019/02/09 with Hazel.\n30767,2019/02/09,I did biking on 2019/02/09.,I did biking on 2019/02/09.\n30768,2019/02/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n30769,2019/02/09,I had lunch. I ate steak.,I had lunch. I ate steak.\n30770,2019/02/09,I ate steak for dinner.,I ate steak for dinner.\n30771,2019/02/09,\"I spent 26 talking to Lydia, Rylee on various topics in the early evening.\",\"I spent 26 talking to Lydia, Rylee on various topics in the early evening.\"\n30772,2019/02/09,I spent 25 talking to Piper on various topics in the early evening.,I spent 25 talking to Piper on various topics in the early evening.\n30773,2019/02/09,\"I talked to Claire, Avery, Kinsley for 46 minutes during lunch hours.\",\"I talked to Claire, Avery, Kinsley for 46 minutes during lunch hours.\"\n30774,2019/02/09,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n30775,2019/02/09,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n30776,2019/02/10,I did biking on 2019/02/10.,I did biking on 2019/02/10.\n30777,2019/02/10,\"I had breakfast with Andrew, Kayden, Carter, Emily. I ate toast and cheese.\",\"I had breakfast with Andrew, Kayden, Carter, Emily. I ate toast and cheese.\"\n30778,2019/02/10,I prepare pasta for lunch.,I prepare pasta for lunch.\n30779,2019/02/10,I ate a burger for dinner.,I ate a burger for dinner.\n30780,2019/02/10,I talked to Layla for 19 minutes in the morning.,I talked to Layla for 19 minutes in the morning.\n30781,2019/02/10,\"I talked to Rylee, Olivia, Lydia, Claire for 37 minutes in the late afternoon.\",\"I talked to Rylee, Olivia, Lydia, Claire for 37 minutes in the late afternoon.\"\n30782,2019/02/10,\"I spent 11 talking to Piper, Rylee, Claire on various topics in the late afternoon.\",\"I spent 11 talking to Piper, Rylee, Claire on various topics in the late afternoon.\"\n30783,2019/02/10,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n30784,2019/02/10,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n30785,2019/02/11,\"I was cooking macaroni and cheese, contest-winning broccoli chicken casserole, traditional meat loaf on 2019/02/11 with Layla, Claire at my place\",\"I was cooking macaroni and cheese, contest-winning broccoli chicken casserole, traditional meat loaf on 2019/02/11 with Layla, Claire at my place\"\n30786,2019/02/11,\"I bought some apricots, strawberries, apple juice, pineapple juice, orange juice, body lotion from the grocery store. I saw Andrew, Emily, Carter, Kayden at the grocery store.\",\"I bought some apricots, strawberries, apple juice, pineapple juice, orange juice, body lotion from the grocery store. I saw Andrew, Emily, Carter, Kayden at the grocery store.\"\n30787,2019/02/11,I did swimming on 2019/02/11.,I did swimming on 2019/02/11.\n30788,2019/02/11,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n30789,2019/02/11,I ate tacos for lunch.,I ate tacos for lunch.\n30790,2019/02/11,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n30791,2019/02/11,I spent 24 talking to Lydia on various topics late in the evening.,I spent 24 talking to Lydia on various topics late in the evening.\n30792,2019/02/11,I talked to Piper for 36 minutes in the late afternoon.,I talked to Piper for 36 minutes in the late afternoon.\n30793,2019/02/11,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n30794,2019/02/11,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n30795,2019/02/12,I did running on 2019/02/12.,I did running on 2019/02/12.\n30796,2019/02/12,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n30797,2019/02/12,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n30798,2019/02/12,I ate chinese food for dinner.,I ate chinese food for dinner.\n30799,2019/02/12,\"I talked to Olivia, Layla, Claire for 35 minutes in the late afternoon.\",\"I talked to Olivia, Layla, Claire for 35 minutes in the late afternoon.\"\n30800,2019/02/12,\"I talked to Avery, Eva, Layla for 14 minutes in the early afternoon.\",\"I talked to Avery, Eva, Layla for 14 minutes in the early afternoon.\"\n30801,2019/02/12,\"I talked to Nora, Olivia for 22 minutes during lunch hours.\",\"I talked to Nora, Olivia for 22 minutes during lunch hours.\"\n30802,2019/02/12,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n30803,2019/02/12,I watched a documentary for 46 minutes on TV today.,I watched a documentary for 46 minutes on TV today.\n30804,2019/02/13,\"I entertained Andrew, Emily, Carter, Kayden at my place on 2019/02/13 and cook poke\",\"I entertained Andrew, Emily, Carter, Kayden at my place on 2019/02/13 and cook poke\"\n30805,2019/02/13,I did biking on 2019/02/13.,I did biking on 2019/02/13.\n30806,2019/02/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n30807,2019/02/13,I had lunch. I ate steak.,I had lunch. I ate steak.\n30808,2019/02/13,\"I had dinner with Carter, Andrew. I ate chinese food.\",\"I had dinner with Carter, Andrew. I ate chinese food.\"\n30809,2019/02/13,\"I talked to Lydia, Hazel, Avery for 51 minutes during lunch hours.\",\"I talked to Lydia, Hazel, Avery for 51 minutes during lunch hours.\"\n30810,2019/02/13,\"I talked to Olivia, Piper for 8 minutes in the late afternoon.\",\"I talked to Olivia, Piper for 8 minutes in the late afternoon.\"\n30811,2019/02/13,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n30812,2019/02/13,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n30813,2019/02/14,I did hiking on 2019/02/14.,I did hiking on 2019/02/14.\n30814,2019/02/14,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n30815,2019/02/14,I prepare sushi for lunch.,I prepare sushi for lunch.\n30816,2019/02/14,\"I had tacos for dinner with Kayden, Emily\",\"I had tacos for dinner with Kayden, Emily\"\n30817,2019/02/14,\"I talked to Lydia, Olivia, Piper for 55 minutes in the morning.\",\"I talked to Lydia, Olivia, Piper for 55 minutes in the morning.\"\n30818,2019/02/14,\"I talked to Layla, Claire for 18 minutes in the late afternoon.\",\"I talked to Layla, Claire for 18 minutes in the late afternoon.\"\n30819,2019/02/14,\"I talked to Layla, Nevaeh, Avery, Rylee for 14 minutes in the late afternoon.\",\"I talked to Layla, Nevaeh, Avery, Rylee for 14 minutes in the late afternoon.\"\n30820,2019/02/14,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n30821,2019/02/14,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n30822,2019/02/15,I did swimming on 2019/02/15.,I did swimming on 2019/02/15.\n30823,2019/02/15,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n30824,2019/02/15,I had indian food for lunch with Jackson,I had indian food for lunch with Jackson\n30825,2019/02/15,I prepare a burger for dinner.,I prepare a burger for dinner.\n30826,2019/02/15,\"I talked to Hazel, Claire, Lydia, Nevaeh for 33 minutes in the late afternoon.\",\"I talked to Hazel, Claire, Lydia, Nevaeh for 33 minutes in the late afternoon.\"\n30827,2019/02/15,\"I talked to Nora, Olivia, Eva, Piper for 28 minutes in the early evening.\",\"I talked to Nora, Olivia, Eva, Piper for 28 minutes in the early evening.\"\n30828,2019/02/15,\"I talked to Hazel, Avery for 16 minutes in the early afternoon.\",\"I talked to Hazel, Avery for 16 minutes in the early afternoon.\"\n30829,2019/02/15,I spent 42 talking to Claire on various topics in the late afternoon.,I spent 42 talking to Claire on various topics in the late afternoon.\n30830,2019/02/15,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n30831,2019/02/15,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n30832,2019/02/16,\"I went grocery shopping with Kayden, Carter. I bought some guava, watermelons, mangos, chocolate milk, milk, and conditioner, toilet paper, body lotion\",\"I went grocery shopping with Kayden, Carter. I bought some guava, watermelons, mangos, chocolate milk, milk, and conditioner, toilet paper, body lotion\"\n30833,2019/02/16,I did running on 2019/02/16.,I did running on 2019/02/16.\n30834,2019/02/16,\"I had toast and cheese for breakfast with Emily, Kayden, Andrew\",\"I had toast and cheese for breakfast with Emily, Kayden, Andrew\"\n30835,2019/02/16,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n30836,2019/02/16,\"I had sandwich for dinner with Andrew, Emily, Kayden, Carter\",\"I had sandwich for dinner with Andrew, Emily, Kayden, Carter\"\n30837,2019/02/16,I spent 20 talking to Kinsley on various topics in the morning.,I spent 20 talking to Kinsley on various topics in the morning.\n30838,2019/02/16,I spent 16 talking to Rylee on various topics in the late afternoon.,I spent 16 talking to Rylee on various topics in the late afternoon.\n30839,2019/02/16,\"I spent 33 talking to Olivia, Piper on various topics in the late afternoon.\",\"I spent 33 talking to Olivia, Piper on various topics in the late afternoon.\"\n30840,2019/02/16,I spent 24 talking to Eva on various topics in the early afternoon.,I spent 24 talking to Eva on various topics in the early afternoon.\n30841,2019/02/16,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n30842,2019/02/16,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n30843,2019/02/17,\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate pancakes.\",\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate pancakes.\"\n30844,2019/02/17,\"I had lunch with Lydia, Olivia, Layla, Eva, Nora, Avery, Hazel, Piper, Piper, Rylee, Kinsley, Nevaeh. I ate indian food.\",\"I had lunch with Lydia, Olivia, Layla, Eva, Nora, Avery, Hazel, Piper, Piper, Rylee, Kinsley, Nevaeh. I ate indian food.\"\n30845,2019/02/17,I prepare a burger for dinner.,I prepare a burger for dinner.\n30846,2019/02/17,\"I spent 14 talking to Layla, Avery, Kinsley on various topics late in the evening.\",\"I spent 14 talking to Layla, Avery, Kinsley on various topics late in the evening.\"\n30847,2019/02/17,\"I talked to Claire, Hazel, Nevaeh, Kinsley for 35 minutes in the morning.\",\"I talked to Claire, Hazel, Nevaeh, Kinsley for 35 minutes in the morning.\"\n30848,2019/02/17,\"I talked to Claire, Olivia for 9 minutes in the late afternoon.\",\"I talked to Claire, Olivia for 9 minutes in the late afternoon.\"\n30849,2019/02/17,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n30850,2019/02/17,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n30851,2019/02/18,\"On 2019/02/18, I took Anna on a date to a park\",\"On 2019/02/18, I took Anna on a date to a park\"\n30852,2019/02/18,I did weight lifting on 2019/02/18.,I did weight lifting on 2019/02/18.\n30853,2019/02/18,\"I had toast and cheese for breakfast with Rylee, Claire, Nevaeh, Olivia\",\"I had toast and cheese for breakfast with Rylee, Claire, Nevaeh, Olivia\"\n30854,2019/02/18,\"I had lunch with Olivia, Nevaeh, Nora, Eva, Layla, Piper, Hazel, Piper, Avery, Lydia, Claire. I ate sushi.\",\"I had lunch with Olivia, Nevaeh, Nora, Eva, Layla, Piper, Hazel, Piper, Avery, Lydia, Claire. I ate sushi.\"\n30855,2019/02/18,\"I had dinner with Kayden, Emily. I ate a burger.\",\"I had dinner with Kayden, Emily. I ate a burger.\"\n30856,2019/02/18,I spent 24 talking to Layla on various topics during lunch hours.,I spent 24 talking to Layla on various topics during lunch hours.\n30857,2019/02/18,\"I spent 39 talking to Piper, Eva, Hazel, Nevaeh on various topics in the morning.\",\"I spent 39 talking to Piper, Eva, Hazel, Nevaeh on various topics in the morning.\"\n30858,2019/02/18,\"I spent 13 talking to Piper, Claire, Nevaeh, Piper on various topics in the morning.\",\"I spent 13 talking to Piper, Claire, Nevaeh, Piper on various topics in the morning.\"\n30859,2019/02/18,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n30860,2019/02/18,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n30861,2019/02/19,I did weight lifting on 2019/02/19.,I did weight lifting on 2019/02/19.\n30862,2019/02/19,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n30863,2019/02/19,\"I had lunch with Jackson, Avery, Willow, Benjamin. I ate pasta.\",\"I had lunch with Jackson, Avery, Willow, Benjamin. I ate pasta.\"\n30864,2019/02/19,\"I had dinner with Benjamin, Jackson. I ate tacos.\",\"I had dinner with Benjamin, Jackson. I ate tacos.\"\n30865,2019/02/19,I spent 13 talking to Olivia on various topics in the early afternoon.,I spent 13 talking to Olivia on various topics in the early afternoon.\n30866,2019/02/19,\"I spent 22 talking to Lydia, Rylee on various topics in the morning.\",\"I spent 22 talking to Lydia, Rylee on various topics in the morning.\"\n30867,2019/02/19,I spent 32 talking to Nora on various topics during lunch hours.,I spent 32 talking to Nora on various topics during lunch hours.\n30868,2019/02/19,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n30869,2019/02/19,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n30870,2019/02/20,I did hiking on 2019/02/20.,I did hiking on 2019/02/20.\n30871,2019/02/20,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n30872,2019/02/20,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n30873,2019/02/20,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n30874,2019/02/20,I spent 6 talking to Nevaeh on various topics in the late afternoon.,I spent 6 talking to Nevaeh on various topics in the late afternoon.\n30875,2019/02/20,\"I spent 7 talking to Hazel, Lydia, Kinsley, Avery on various topics late in the evening.\",\"I spent 7 talking to Hazel, Lydia, Kinsley, Avery on various topics late in the evening.\"\n30876,2019/02/20,\"I spent 36 talking to Lydia, Hazel on various topics in the late afternoon.\",\"I spent 36 talking to Lydia, Hazel on various topics in the late afternoon.\"\n30877,2019/02/20,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n30878,2019/02/20,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n30879,2019/02/21,\"On 2019/02/21 Lydia, Hazel and I went to Bangkok, Thailand together for 9 days \",\"On 2019/02/21 Lydia, Hazel and I went to Bangkok, Thailand together for 9 days \"\n30880,2019/02/21,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n30881,2019/02/21,I ate a burger for lunch.,I ate a burger for lunch.\n30882,2019/02/21,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n30883,2019/02/21,\"I spent 45 talking to Nevaeh, Kinsley, Eva, Hazel on various topics during lunch hours.\",\"I spent 45 talking to Nevaeh, Kinsley, Eva, Hazel on various topics during lunch hours.\"\n30884,2019/02/21,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n30885,2019/02/21,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n30886,2019/02/22,\"During my trip to Bangkok, Thailand, I visited Wat Traimit on 2019/02 with Lydia, Hazel.\",\"During my trip to Bangkok, Thailand, I visited Wat Traimit on 2019/02 with Lydia, Hazel.\"\n30887,2019/02/22,\"I ate Chinese food at Yaowarat with Lydia, Hazel on  2019/02/22 when I was in Bangkok, Thailand.\",\"I ate Chinese food at Yaowarat with Lydia, Hazel on  2019/02/22 when I was in Bangkok, Thailand.\"\n30888,2019/02/22,\"On 2019/02/22, I took Charles on a date to a restaurant\",\"On 2019/02/22, I took Charles on a date to a restaurant\"\n30889,2019/02/22,\"I had toast and cheese for breakfast with Andrew, Carter, Kayden\",\"I had toast and cheese for breakfast with Andrew, Carter, Kayden\"\n30890,2019/02/22,\"I had lunch with Andrew, Emily, Carter. I ate tacos.\",\"I had lunch with Andrew, Emily, Carter. I ate tacos.\"\n30891,2019/02/22,I had dinner. I ate steak.,I had dinner. I ate steak.\n30892,2019/02/22,I talked to Nora for 52 minutes in the late afternoon.,I talked to Nora for 52 minutes in the late afternoon.\n30893,2019/02/22,\"I spent 43 talking to Kinsley, Nevaeh, Piper, Nora on various topics in the early afternoon.\",\"I spent 43 talking to Kinsley, Nevaeh, Piper, Nora on various topics in the early afternoon.\"\n30894,2019/02/22,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n30895,2019/02/22,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n30896,2019/02/23,\"During my trip to Bangkok, Thailand, I visited Grand Palace on 2019/02 with Lydia, Hazel.\",\"During my trip to Bangkok, Thailand, I visited Grand Palace on 2019/02 with Lydia, Hazel.\"\n30897,2019/02/23,\"I ate Indian food at Ratchawat Market with Lydia, Hazel on  2019/02/23 when I was in Bangkok, Thailand.\",\"I ate Indian food at Ratchawat Market with Lydia, Hazel on  2019/02/23 when I was in Bangkok, Thailand.\"\n30898,2019/02/23,\"I went grocery shopping. I bought some apricots, strawberries, blueberries, peaches, apple juice, guava juice, chocolate milk, mango juice, and toilet paper\",\"I went grocery shopping. I bought some apricots, strawberries, blueberries, peaches, apple juice, guava juice, chocolate milk, mango juice, and toilet paper\"\n30899,2019/02/23,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n30900,2019/02/23,I prepare indian food for lunch.,I prepare indian food for lunch.\n30901,2019/02/23,\"I had fish and chips for dinner with Kayden, Carter, Emily\",\"I had fish and chips for dinner with Kayden, Carter, Emily\"\n30902,2019/02/23,\"I spent 40 talking to Lydia, Piper, Kinsley, Layla on various topics during lunch hours.\",\"I spent 40 talking to Lydia, Piper, Kinsley, Layla on various topics during lunch hours.\"\n30903,2019/02/23,I spent 43 talking to Olivia on various topics during lunch hours.,I spent 43 talking to Olivia on various topics during lunch hours.\n30904,2019/02/23,\"I spent 54 talking to Piper, Piper, Olivia, Nora on various topics in the early afternoon.\",\"I spent 54 talking to Piper, Piper, Olivia, Nora on various topics in the early afternoon.\"\n30905,2019/02/23,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n30906,2019/02/23,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n30907,2019/02/24,\"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2019/02 with Lydia, Hazel.\",\"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2019/02 with Lydia, Hazel.\"\n30908,2019/02/24,\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate toast and cheese.\",\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate toast and cheese.\"\n30909,2019/02/24,I ate pasta for lunch.,I ate pasta for lunch.\n30910,2019/02/24,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n30911,2019/02/24,\"I spent 16 talking to Eva, Nora, Rylee on various topics in the late afternoon.\",\"I spent 16 talking to Eva, Nora, Rylee on various topics in the late afternoon.\"\n30912,2019/02/24,\"I talked to Rylee, Claire, Eva, Hazel for 55 minutes in the early evening.\",\"I talked to Rylee, Claire, Eva, Hazel for 55 minutes in the early evening.\"\n30913,2019/02/24,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n30914,2019/02/24,I spent 15 minutes watching a documentary on TV today.,I spent 15 minutes watching a documentary on TV today.\n30915,2019/02/25,\"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2019/02 with Lydia, Hazel.\",\"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2019/02 with Lydia, Hazel.\"\n30916,2019/02/25,\"I ate Indian food at Ratchawat Market with Lydia, Hazel on  2019/02/25 when I was in Bangkok, Thailand.\",\"I ate Indian food at Ratchawat Market with Lydia, Hazel on  2019/02/25 when I was in Bangkok, Thailand.\"\n30917,2019/02/25,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n30918,2019/02/25,I had a burger for lunch with Avery,I had a burger for lunch with Avery\n30919,2019/02/25,I had dinner. I ate steak.,I had dinner. I ate steak.\n30920,2019/02/25,\"I talked to Kinsley, Lydia, Piper, Claire for 49 minutes in the early evening.\",\"I talked to Kinsley, Lydia, Piper, Claire for 49 minutes in the early evening.\"\n30921,2019/02/25,\"I talked to Hazel, Rylee, Olivia for 32 minutes late in the evening.\",\"I talked to Hazel, Rylee, Olivia for 32 minutes late in the evening.\"\n30922,2019/02/25,I talked to Layla for 14 minutes in the early evening.,I talked to Layla for 14 minutes in the early evening.\n30923,2019/02/25,\"I spent 37 talking to Nora, Rylee, Olivia on various topics in the morning.\",\"I spent 37 talking to Nora, Rylee, Olivia on various topics in the morning.\"\n30924,2019/02/25,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n30925,2019/02/25,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n30926,2019/02/26,\"During my trip to Bangkok, Thailand, I visited Wat Arun on 2019/02 with Lydia, Hazel.\",\"During my trip to Bangkok, Thailand, I visited Wat Arun on 2019/02 with Lydia, Hazel.\"\n30927,2019/02/26,\"I ate Indian food at Victory Monument with Lydia, Hazel on  2019/02/26 when I was in Bangkok, Thailand.\",\"I ate Indian food at Victory Monument with Lydia, Hazel on  2019/02/26 when I was in Bangkok, Thailand.\"\n30928,2019/02/26,I went on a date with Cooper on 2019/02/26 at a boba shop,I went on a date with Cooper on 2019/02/26 at a boba shop\n30929,2019/02/26,\"I had oatmeal for breakfast with Carter, Emily, Kayden, Andrew\",\"I had oatmeal for breakfast with Carter, Emily, Kayden, Andrew\"\n30930,2019/02/26,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n30931,2019/02/26,\"I had dinner with Kayden, Andrew, Carter, Emily. I ate tacos.\",\"I had dinner with Kayden, Andrew, Carter, Emily. I ate tacos.\"\n30932,2019/02/26,\"I spent 26 talking to Kinsley, Claire on various topics in the early afternoon.\",\"I spent 26 talking to Kinsley, Claire on various topics in the early afternoon.\"\n30933,2019/02/26,\"I spent 31 talking to Rylee, Olivia, Piper, Nevaeh on various topics late in the evening.\",\"I spent 31 talking to Rylee, Olivia, Piper, Nevaeh on various topics late in the evening.\"\n30934,2019/02/26,I talked to Piper for 12 minutes in the early evening.,I talked to Piper for 12 minutes in the early evening.\n30935,2019/02/26,I spent 26 talking to Hazel on various topics in the morning.,I spent 26 talking to Hazel on various topics in the morning.\n30936,2019/02/26,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n30937,2019/02/26,I spent 49 minutes watching a documentary on TV today.,I spent 49 minutes watching a documentary on TV today.\n30938,2019/02/27,\"I ate local food at Ratchawat Market with Lydia, Hazel on  2019/02/27 when I was in Bangkok, Thailand.\",\"I ate local food at Ratchawat Market with Lydia, Hazel on  2019/02/27 when I was in Bangkok, Thailand.\"\n30939,2019/02/27,\"I had breakfast with Willow, Jackson. I ate eggs, sausages, and bread.\",\"I had breakfast with Willow, Jackson. I ate eggs, sausages, and bread.\"\n30940,2019/02/27,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n30941,2019/02/27,I ate sandwich for dinner.,I ate sandwich for dinner.\n30942,2019/02/27,\"I spent 42 talking to Rylee, Olivia, Piper on various topics in the morning.\",\"I spent 42 talking to Rylee, Olivia, Piper on various topics in the morning.\"\n30943,2019/02/27,\"I talked to Kinsley, Nevaeh, Olivia for 43 minutes in the early afternoon.\",\"I talked to Kinsley, Nevaeh, Olivia for 43 minutes in the early afternoon.\"\n30944,2019/02/27,\"I talked to Piper, Piper for 19 minutes in the early evening.\",\"I talked to Piper, Piper for 19 minutes in the early evening.\"\n30945,2019/02/27,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n30946,2019/02/27,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n30947,2019/02/28,\"I ate street food at Yaowarat with Lydia, Hazel on  2019/02/28 when I was in Bangkok, Thailand.\",\"I ate street food at Yaowarat with Lydia, Hazel on  2019/02/28 when I was in Bangkok, Thailand.\"\n30948,2019/02/28,\"I went grocery shopping with Piper, Hazel, Lydia, Nevaeh, Layla. I bought some bananas, blueberries, pineapples, sports drinks, guava juice, and toilet paper, toothpaste, shampoo, toothbrush\",\"I went grocery shopping with Piper, Hazel, Lydia, Nevaeh, Layla. I bought some bananas, blueberries, pineapples, sports drinks, guava juice, and toilet paper, toothpaste, shampoo, toothbrush\"\n30949,2019/02/28,\"I had breakfast with Avery, Piper, Hazel, Rylee. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Piper, Hazel, Rylee. I ate eggs, sausages, and bread.\"\n30950,2019/02/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n30951,2019/02/28,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n30952,2019/02/28,I spent 16 talking to Nora on various topics during lunch hours.,I spent 16 talking to Nora on various topics during lunch hours.\n30953,2019/02/28,\"I spent 53 talking to Olivia, Layla, Claire on various topics in the morning.\",\"I spent 53 talking to Olivia, Layla, Claire on various topics in the morning.\"\n30954,2019/02/28,\"I talked to Olivia, Eva, Nevaeh, Claire for 28 minutes in the morning.\",\"I talked to Olivia, Eva, Nevaeh, Claire for 28 minutes in the morning.\"\n30955,2019/02/28,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n30956,2019/02/28,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n30957,2019/03/01,\"I ate street food at Ratchawat Market with Lydia, Hazel on  2019/03/01 when I was in Bangkok, Thailand.\",\"I ate street food at Ratchawat Market with Lydia, Hazel on  2019/03/01 when I was in Bangkok, Thailand.\"\n30958,2019/03/01,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n30959,2019/03/01,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n30960,2019/03/01,I ate tacos for dinner.,I ate tacos for dinner.\n30961,2019/03/01,I spent 35 talking to Avery on various topics in the early evening.,I spent 35 talking to Avery on various topics in the early evening.\n30962,2019/03/01,\"I spent 5 talking to Avery, Hazel, Piper, Lydia on various topics during lunch hours.\",\"I spent 5 talking to Avery, Hazel, Piper, Lydia on various topics during lunch hours.\"\n30963,2019/03/01,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n30964,2019/03/01,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n30965,2019/03/02,\"I ate Italian food at Yaowarat with Lydia, Hazel on  2019/03/02 when I was in Bangkok, Thailand.\",\"I ate Italian food at Yaowarat with Lydia, Hazel on  2019/03/02 when I was in Bangkok, Thailand.\"\n30966,2019/03/02,I had oatmeal for breakfast with Kayden,I had oatmeal for breakfast with Kayden\n30967,2019/03/02,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n30968,2019/03/02,\"I had indian food for dinner with Andrew, Emily, Kayden\",\"I had indian food for dinner with Andrew, Emily, Kayden\"\n30969,2019/03/02,I talked to Layla for 36 minutes in the early afternoon.,I talked to Layla for 36 minutes in the early afternoon.\n30970,2019/03/02,\"I talked to Nevaeh, Nora, Hazel, Olivia for 52 minutes in the late afternoon.\",\"I talked to Nevaeh, Nora, Hazel, Olivia for 52 minutes in the late afternoon.\"\n30971,2019/03/02,I spent 17 talking to Kinsley on various topics in the late afternoon.,I spent 17 talking to Kinsley on various topics in the late afternoon.\n30972,2019/03/02,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n30973,2019/03/02,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n30974,2019/03/03,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n30975,2019/03/03,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n30976,2019/03/03,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n30977,2019/03/03,I talked to Hazel for 29 minutes late in the evening.,I talked to Hazel for 29 minutes late in the evening.\n30978,2019/03/03,\"I talked to Avery, Nora for 38 minutes in the early afternoon.\",\"I talked to Avery, Nora for 38 minutes in the early afternoon.\"\n30979,2019/03/03,\"I talked to Avery, Piper, Claire, Olivia for 36 minutes in the early afternoon.\",\"I talked to Avery, Piper, Claire, Olivia for 36 minutes in the early afternoon.\"\n30980,2019/03/03,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n30981,2019/03/03,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n30982,2019/03/04,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n30983,2019/03/04,I had lunch with Kayden. I ate steak.,I had lunch with Kayden. I ate steak.\n30984,2019/03/04,\"I had dinner with Carter, Andrew, Kayden. I ate fish and chips.\",\"I had dinner with Carter, Andrew, Kayden. I ate fish and chips.\"\n30985,2019/03/04,\"I talked to Kinsley, Piper, Claire for 16 minutes in the late afternoon.\",\"I talked to Kinsley, Piper, Claire for 16 minutes in the late afternoon.\"\n30986,2019/03/04,I spent 17 talking to Nevaeh on various topics late in the evening.,I spent 17 talking to Nevaeh on various topics late in the evening.\n30987,2019/03/04,\"I spent 55 talking to Rylee, Nevaeh on various topics in the early afternoon.\",\"I spent 55 talking to Rylee, Nevaeh on various topics in the early afternoon.\"\n30988,2019/03/04,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n30989,2019/03/04,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n30990,2019/03/05,I did biking on 2019/03/05.,I did biking on 2019/03/05.\n30991,2019/03/05,\"I had breakfast with Hazel, Nevaeh, Nora, Eva, Olivia, Lydia, Layla, Avery, Kinsley, Piper, Rylee, Claire, Piper. I ate oatmeal.\",\"I had breakfast with Hazel, Nevaeh, Nora, Eva, Olivia, Lydia, Layla, Avery, Kinsley, Piper, Rylee, Claire, Piper. I ate oatmeal.\"\n30992,2019/03/05,\"I had lunch with Nevaeh, Piper, Claire, Eva, Kinsley, Nora, Hazel, Olivia, Avery, Layla, Rylee. I ate pasta.\",\"I had lunch with Nevaeh, Piper, Claire, Eva, Kinsley, Nora, Hazel, Olivia, Avery, Layla, Rylee. I ate pasta.\"\n30993,2019/03/05,I ate pasta for dinner.,I ate pasta for dinner.\n30994,2019/03/05,\"I talked to Rylee, Hazel, Nevaeh, Eva for 40 minutes in the early evening.\",\"I talked to Rylee, Hazel, Nevaeh, Eva for 40 minutes in the early evening.\"\n30995,2019/03/05,I spent 8 talking to Claire on various topics in the early evening.,I spent 8 talking to Claire on various topics in the early evening.\n30996,2019/03/05,\"I spent 47 talking to Hazel, Nevaeh on various topics during lunch hours.\",\"I spent 47 talking to Hazel, Nevaeh on various topics during lunch hours.\"\n30997,2019/03/05,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n30998,2019/03/05,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n30999,2019/03/06,\"On 2019/03/06, I took Aiden on a date to a coffee Shop\",\"On 2019/03/06, I took Aiden on a date to a coffee Shop\"\n31000,2019/03/06,I did biking on 2019/03/06.,I did biking on 2019/03/06.\n31001,2019/03/06,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n31002,2019/03/06,I prepare pasta for lunch.,I prepare pasta for lunch.\n31003,2019/03/06,\"I had sandwich for dinner with Andrew, Kayden, Emily, Carter\",\"I had sandwich for dinner with Andrew, Kayden, Emily, Carter\"\n31004,2019/03/06,\"I spent 42 talking to Olivia, Eva on various topics in the early afternoon.\",\"I spent 42 talking to Olivia, Eva on various topics in the early afternoon.\"\n31005,2019/03/06,\"I spent 52 talking to Olivia, Nora, Hazel, Layla on various topics in the morning.\",\"I spent 52 talking to Olivia, Nora, Hazel, Layla on various topics in the morning.\"\n31006,2019/03/06,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n31007,2019/03/06,I spent 30 minutes watching a tv series on TV today.,I spent 30 minutes watching a tv series on TV today.\n31008,2019/03/07,\"I went grocery shopping. I bought some blackberries, tea, orange juice, sports drinks, and body lotion, toilet paper, mouthwash, mouth wash\",\"I went grocery shopping. I bought some blackberries, tea, orange juice, sports drinks, and body lotion, toilet paper, mouthwash, mouth wash\"\n31009,2019/03/07,I did hiking on 2019/03/07.,I did hiking on 2019/03/07.\n31010,2019/03/07,\"I had breakfast with Kayden, Emily, Carter. I ate toast and cheese.\",\"I had breakfast with Kayden, Emily, Carter. I ate toast and cheese.\"\n31011,2019/03/07,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n31012,2019/03/07,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n31013,2019/03/07,\"I talked to Rylee, Nora for 5 minutes during lunch hours.\",\"I talked to Rylee, Nora for 5 minutes during lunch hours.\"\n31014,2019/03/07,\"I talked to Olivia, Nora for 47 minutes in the morning.\",\"I talked to Olivia, Nora for 47 minutes in the morning.\"\n31015,2019/03/07,\"I talked to Lydia, Hazel, Kinsley for 42 minutes in the early evening.\",\"I talked to Lydia, Hazel, Kinsley for 42 minutes in the early evening.\"\n31016,2019/03/07,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n31017,2019/03/07,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n31018,2019/03/08,I did weight lifting on 2019/03/08.,I did weight lifting on 2019/03/08.\n31019,2019/03/08,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n31020,2019/03/08,\"I had lunch with Nora, Layla, Hazel, Nevaeh, Kinsley, Olivia, Piper. I ate sushi.\",\"I had lunch with Nora, Layla, Hazel, Nevaeh, Kinsley, Olivia, Piper. I ate sushi.\"\n31021,2019/03/08,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n31022,2019/03/08,\"I talked to Olivia, Claire, Nora, Nevaeh for 45 minutes in the early afternoon.\",\"I talked to Olivia, Claire, Nora, Nevaeh for 45 minutes in the early afternoon.\"\n31023,2019/03/08,\"I spent 14 talking to Layla, Claire on various topics in the morning.\",\"I spent 14 talking to Layla, Claire on various topics in the morning.\"\n31024,2019/03/08,\"I talked to Lydia, Eva for 24 minutes in the early evening.\",\"I talked to Lydia, Eva for 24 minutes in the early evening.\"\n31025,2019/03/08,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n31026,2019/03/08,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n31027,2019/03/09,I did running on 2019/03/09.,I did running on 2019/03/09.\n31028,2019/03/09,\"I had breakfast with Avery, Olivia, Nora, Piper, Rylee, Piper, Kinsley, Claire, Lydia. I ate toast and cheese.\",\"I had breakfast with Avery, Olivia, Nora, Piper, Rylee, Piper, Kinsley, Claire, Lydia. I ate toast and cheese.\"\n31029,2019/03/09,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n31030,2019/03/09,I ate pasta for dinner.,I ate pasta for dinner.\n31031,2019/03/09,\"I spent 12 talking to Layla, Olivia, Hazel, Kinsley on various topics in the early evening.\",\"I spent 12 talking to Layla, Olivia, Hazel, Kinsley on various topics in the early evening.\"\n31032,2019/03/09,\"I spent 34 talking to Avery, Nora, Olivia on various topics late in the evening.\",\"I spent 34 talking to Avery, Nora, Olivia on various topics late in the evening.\"\n31033,2019/03/09,\"I talked to Piper, Nevaeh, Rylee for 30 minutes in the early evening.\",\"I talked to Piper, Nevaeh, Rylee for 30 minutes in the early evening.\"\n31034,2019/03/09,\"I talked to Piper, Nora, Piper for 37 minutes in the early afternoon.\",\"I talked to Piper, Nora, Piper for 37 minutes in the early afternoon.\"\n31035,2019/03/09,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n31036,2019/03/09,I watched news for 35 minutes on TV today.,I watched news for 35 minutes on TV today.\n31037,2019/03/10,\"I bought some apples, pineapples, mango juice, sports drinks, guava juice, mineral water, toilet paper from the grocery store. I saw Emily, Kayden, Carter, Andrew at the grocery store.\",\"I bought some apples, pineapples, mango juice, sports drinks, guava juice, mineral water, toilet paper from the grocery store. I saw Emily, Kayden, Carter, Andrew at the grocery store.\"\n31038,2019/03/10,I did biking on 2019/03/10.,I did biking on 2019/03/10.\n31039,2019/03/10,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n31040,2019/03/10,\"I had a burger for lunch with Emily, Carter, Andrew\",\"I had a burger for lunch with Emily, Carter, Andrew\"\n31041,2019/03/10,\"I had pasta for dinner with Emily, Andrew, Kayden\",\"I had pasta for dinner with Emily, Andrew, Kayden\"\n31042,2019/03/10,\"I spent 40 talking to Avery, Olivia, Hazel, Layla on various topics in the early evening.\",\"I spent 40 talking to Avery, Olivia, Hazel, Layla on various topics in the early evening.\"\n31043,2019/03/10,\"I talked to Eva, Kinsley, Avery, Piper for 18 minutes late in the evening.\",\"I talked to Eva, Kinsley, Avery, Piper for 18 minutes late in the evening.\"\n31044,2019/03/10,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n31045,2019/03/10,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n31046,2019/03/11,\"On 2019/03/11, I took Ellie on a date to a restaurant\",\"On 2019/03/11, I took Ellie on a date to a restaurant\"\n31047,2019/03/11,I did weight lifting on 2019/03/11.,I did weight lifting on 2019/03/11.\n31048,2019/03/11,I had breakfast with Jackson. I ate cereals.,I had breakfast with Jackson. I ate cereals.\n31049,2019/03/11,I had lunch with Avery. I ate sushi.,I had lunch with Avery. I ate sushi.\n31050,2019/03/11,I prepare indian food for dinner.,I prepare indian food for dinner.\n31051,2019/03/11,I talked to Layla for 38 minutes in the early afternoon.,I talked to Layla for 38 minutes in the early afternoon.\n31052,2019/03/11,\"I talked to Piper, Olivia for 40 minutes in the morning.\",\"I talked to Piper, Olivia for 40 minutes in the morning.\"\n31053,2019/03/11,\"I talked to Rylee, Avery for 16 minutes in the early afternoon.\",\"I talked to Rylee, Avery for 16 minutes in the early afternoon.\"\n31054,2019/03/11,\"I talked to Lydia, Layla for 24 minutes late in the evening.\",\"I talked to Lydia, Layla for 24 minutes late in the evening.\"\n31055,2019/03/11,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n31056,2019/03/11,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n31057,2019/03/12,\"I bought some blueberries, sports drinks, mouth wash online.\",\"I bought some blueberries, sports drinks, mouth wash online.\"\n31058,2019/03/12,I did hiking on 2019/03/12.,I did hiking on 2019/03/12.\n31059,2019/03/12,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n31060,2019/03/12,I ate steak for lunch.,I ate steak for lunch.\n31061,2019/03/12,I ate a burger for dinner.,I ate a burger for dinner.\n31062,2019/03/12,\"I talked to Eva, Layla, Piper, Hazel for 48 minutes in the early evening.\",\"I talked to Eva, Layla, Piper, Hazel for 48 minutes in the early evening.\"\n31063,2019/03/12,\"I talked to Claire, Nora, Piper for 51 minutes in the late afternoon.\",\"I talked to Claire, Nora, Piper for 51 minutes in the late afternoon.\"\n31064,2019/03/12,I talked to Layla for 41 minutes late in the evening.,I talked to Layla for 41 minutes late in the evening.\n31065,2019/03/12,\"I spent 36 talking to Nevaeh, Nora, Olivia on various topics late in the evening.\",\"I spent 36 talking to Nevaeh, Nora, Olivia on various topics late in the evening.\"\n31066,2019/03/12,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n31067,2019/03/12,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n31068,2019/03/13,I did biking on 2019/03/13.,I did biking on 2019/03/13.\n31069,2019/03/13,\"I had breakfast with Avery, Jackson, Willow. I ate oatmeal.\",\"I had breakfast with Avery, Jackson, Willow. I ate oatmeal.\"\n31070,2019/03/13,\"I had lunch with Emily, Andrew. I ate sandwich.\",\"I had lunch with Emily, Andrew. I ate sandwich.\"\n31071,2019/03/13,\"I had chinese food for dinner with Kayden, Carter\",\"I had chinese food for dinner with Kayden, Carter\"\n31072,2019/03/13,\"I spent 11 talking to Olivia, Rylee on various topics in the late afternoon.\",\"I spent 11 talking to Olivia, Rylee on various topics in the late afternoon.\"\n31073,2019/03/13,\"I talked to Piper, Nevaeh for 38 minutes in the early afternoon.\",\"I talked to Piper, Nevaeh for 38 minutes in the early afternoon.\"\n31074,2019/03/13,\"I talked to Nevaeh, Olivia, Claire, Eva for 9 minutes in the late afternoon.\",\"I talked to Nevaeh, Olivia, Claire, Eva for 9 minutes in the late afternoon.\"\n31075,2019/03/13,\"I talked to Piper, Layla for 30 minutes late in the evening.\",\"I talked to Piper, Layla for 30 minutes late in the evening.\"\n31076,2019/03/13,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n31077,2019/03/13,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n31078,2019/03/14,I did weight lifting on 2019/03/14.,I did weight lifting on 2019/03/14.\n31079,2019/03/14,I had pancakes for breakfast with Emily,I had pancakes for breakfast with Emily\n31080,2019/03/14,I had lunch with Andrew. I ate steak.,I had lunch with Andrew. I ate steak.\n31081,2019/03/14,\"I had tacos for dinner with Nevaeh, Avery, Hazel, Eva, Claire\",\"I had tacos for dinner with Nevaeh, Avery, Hazel, Eva, Claire\"\n31082,2019/03/14,I talked to Olivia for 36 minutes in the early afternoon.,I talked to Olivia for 36 minutes in the early afternoon.\n31083,2019/03/14,\"I spent 5 talking to Lydia, Layla, Olivia, Nevaeh on various topics in the late afternoon.\",\"I spent 5 talking to Lydia, Layla, Olivia, Nevaeh on various topics in the late afternoon.\"\n31084,2019/03/14,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n31085,2019/03/14,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n31086,2019/03/15,I did biking on 2019/03/15.,I did biking on 2019/03/15.\n31087,2019/03/15,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n31088,2019/03/15,I had chinese food for lunch with Kayden,I had chinese food for lunch with Kayden\n31089,2019/03/15,I prepare steak for dinner.,I prepare steak for dinner.\n31090,2019/03/15,\"I talked to Layla, Piper, Nora, Nevaeh for 11 minutes in the late afternoon.\",\"I talked to Layla, Piper, Nora, Nevaeh for 11 minutes in the late afternoon.\"\n31091,2019/03/15,\"I talked to Piper, Layla for 18 minutes in the early afternoon.\",\"I talked to Piper, Layla for 18 minutes in the early afternoon.\"\n31092,2019/03/15,\"I spent 44 talking to Nevaeh, Claire, Lydia, Eva on various topics in the late afternoon.\",\"I spent 44 talking to Nevaeh, Claire, Lydia, Eva on various topics in the late afternoon.\"\n31093,2019/03/15,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n31094,2019/03/15,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n31095,2019/03/16,\"I bought some cherres, pears, soda, mouth wash, toilet paper from the grocery store. I saw Andrew, Emily, Kayden at the grocery store.\",\"I bought some cherres, pears, soda, mouth wash, toilet paper from the grocery store. I saw Andrew, Emily, Kayden at the grocery store.\"\n31096,2019/03/16,\"I had breakfast with Kayden, Emily, Andrew. I ate toast and cheese.\",\"I had breakfast with Kayden, Emily, Andrew. I ate toast and cheese.\"\n31097,2019/03/16,\"I had lunch with Olivia, Piper, Lydia, Avery, Hazel, Rylee, Claire, Kinsley, Layla, Eva. I ate steak.\",\"I had lunch with Olivia, Piper, Lydia, Avery, Hazel, Rylee, Claire, Kinsley, Layla, Eva. I ate steak.\"\n31098,2019/03/16,I ate indian food for dinner.,I ate indian food for dinner.\n31099,2019/03/16,\"I talked to Nora, Rylee, Olivia, Hazel for 37 minutes in the early evening.\",\"I talked to Nora, Rylee, Olivia, Hazel for 37 minutes in the early evening.\"\n31100,2019/03/16,I talked to Olivia for 27 minutes late in the evening.,I talked to Olivia for 27 minutes late in the evening.\n31101,2019/03/16,\"I spent 27 talking to Kinsley, Nora, Piper, Claire on various topics in the late afternoon.\",\"I spent 27 talking to Kinsley, Nora, Piper, Claire on various topics in the late afternoon.\"\n31102,2019/03/16,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n31103,2019/03/16,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n31104,2019/03/17,I did swimming on 2019/03/17.,I did swimming on 2019/03/17.\n31105,2019/03/17,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n31106,2019/03/17,\"I had fish and chips for lunch with Kayden, Carter, Emily, Andrew\",\"I had fish and chips for lunch with Kayden, Carter, Emily, Andrew\"\n31107,2019/03/17,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n31108,2019/03/17,\"I talked to Kinsley, Olivia, Avery, Lydia for 27 minutes in the late afternoon.\",\"I talked to Kinsley, Olivia, Avery, Lydia for 27 minutes in the late afternoon.\"\n31109,2019/03/17,I talked to Olivia for 43 minutes in the late afternoon.,I talked to Olivia for 43 minutes in the late afternoon.\n31110,2019/03/17,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n31111,2019/03/17,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n31112,2019/03/18,I did HIIT on 2019/03/18.,I did HIIT on 2019/03/18.\n31113,2019/03/18,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n31114,2019/03/18,I ate pasta for lunch.,I ate pasta for lunch.\n31115,2019/03/18,I had dinner with Willow. I ate sandwich.,I had dinner with Willow. I ate sandwich.\n31116,2019/03/18,\"I spent 34 talking to Nora, Nevaeh, Lydia, Piper on various topics in the early evening.\",\"I spent 34 talking to Nora, Nevaeh, Lydia, Piper on various topics in the early evening.\"\n31117,2019/03/18,\"I talked to Piper, Kinsley, Olivia for 23 minutes late in the evening.\",\"I talked to Piper, Kinsley, Olivia for 23 minutes late in the evening.\"\n31118,2019/03/18,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n31119,2019/03/18,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n31120,2019/03/19,I did hiking on 2019/03/19.,I did hiking on 2019/03/19.\n31121,2019/03/19,I had oatmeal for breakfast with Andrew,I had oatmeal for breakfast with Andrew\n31122,2019/03/19,\"I had lunch with Lydia, Claire, Kinsley, Piper, Olivia, Nevaeh, Piper, Layla, Hazel, Avery, Nora. I ate fish and chips.\",\"I had lunch with Lydia, Claire, Kinsley, Piper, Olivia, Nevaeh, Piper, Layla, Hazel, Avery, Nora. I ate fish and chips.\"\n31123,2019/03/19,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n31124,2019/03/19,\"I spent 45 talking to Lydia, Claire, Layla, Rylee on various topics during lunch hours.\",\"I spent 45 talking to Lydia, Claire, Layla, Rylee on various topics during lunch hours.\"\n31125,2019/03/19,\"I talked to Hazel, Olivia for 6 minutes in the early afternoon.\",\"I talked to Hazel, Olivia for 6 minutes in the early afternoon.\"\n31126,2019/03/19,I spent 9 talking to Nora on various topics in the morning.,I spent 9 talking to Nora on various topics in the morning.\n31127,2019/03/19,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n31128,2019/03/19,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n31129,2019/03/20,\"I bought some blackberries, milk, apple juice, orange juice, coffee, conditioner, shaving cream, toothpaste, toilet paper online.\",\"I bought some blackberries, milk, apple juice, orange juice, coffee, conditioner, shaving cream, toothpaste, toilet paper online.\"\n31130,2019/03/20,I did swimming on 2019/03/20.,I did swimming on 2019/03/20.\n31131,2019/03/20,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n31132,2019/03/20,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n31133,2019/03/20,I ate steak for dinner.,I ate steak for dinner.\n31134,2019/03/20,\"I talked to Avery, Hazel, Nevaeh, Rylee for 41 minutes during lunch hours.\",\"I talked to Avery, Hazel, Nevaeh, Rylee for 41 minutes during lunch hours.\"\n31135,2019/03/20,\"I spent 17 talking to Olivia, Rylee on various topics in the early evening.\",\"I spent 17 talking to Olivia, Rylee on various topics in the early evening.\"\n31136,2019/03/20,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n31137,2019/03/20,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n31138,2019/03/21,I did weight lifting on 2019/03/21.,I did weight lifting on 2019/03/21.\n31139,2019/03/21,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n31140,2019/03/21,I ate tacos for lunch.,I ate tacos for lunch.\n31141,2019/03/21,I prepare a burger for dinner.,I prepare a burger for dinner.\n31142,2019/03/21,\"I talked to Piper, Piper for 53 minutes in the morning.\",\"I talked to Piper, Piper for 53 minutes in the morning.\"\n31143,2019/03/21,\"I spent 44 talking to Kinsley, Lydia, Piper, Claire on various topics during lunch hours.\",\"I spent 44 talking to Kinsley, Lydia, Piper, Claire on various topics during lunch hours.\"\n31144,2019/03/21,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n31145,2019/03/21,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n31146,2019/03/22,I did HIIT on 2019/03/22.,I did HIIT on 2019/03/22.\n31147,2019/03/22,\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate eggs, sausages, and bread.\"\n31148,2019/03/22,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n31149,2019/03/22,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n31150,2019/03/22,\"I spent 9 talking to Lydia, Layla, Rylee, Olivia on various topics late in the evening.\",\"I spent 9 talking to Lydia, Layla, Rylee, Olivia on various topics late in the evening.\"\n31151,2019/03/22,I spent 8 talking to Rylee on various topics in the late afternoon.,I spent 8 talking to Rylee on various topics in the late afternoon.\n31152,2019/03/22,I spent 10 talking to Eva on various topics in the early evening.,I spent 10 talking to Eva on various topics in the early evening.\n31153,2019/03/22,I talked to Piper for 11 minutes late in the evening.,I talked to Piper for 11 minutes late in the evening.\n31154,2019/03/22,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n31155,2019/03/22,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n31156,2019/03/23,\"I went grocery shopping. I bought some clementines, strawberries, mangos, apple juice, tea, and paper towel, conditioner, toilet paper\",\"I went grocery shopping. I bought some clementines, strawberries, mangos, apple juice, tea, and paper towel, conditioner, toilet paper\"\n31157,2019/03/23,I did swimming on 2019/03/23.,I did swimming on 2019/03/23.\n31158,2019/03/23,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n31159,2019/03/23,I prepare steak for lunch.,I prepare steak for lunch.\n31160,2019/03/23,\"I had dinner with Avery, Willow. I ate sushi.\",\"I had dinner with Avery, Willow. I ate sushi.\"\n31161,2019/03/23,\"I spent 42 talking to Lydia, Kinsley on various topics in the morning.\",\"I spent 42 talking to Lydia, Kinsley on various topics in the morning.\"\n31162,2019/03/23,\"I spent 28 talking to Claire, Hazel on various topics in the early afternoon.\",\"I spent 28 talking to Claire, Hazel on various topics in the early afternoon.\"\n31163,2019/03/23,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n31164,2019/03/23,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n31165,2019/03/24,I went on a date with Ellie on 2019/03/24 at a restaurant,I went on a date with Ellie on 2019/03/24 at a restaurant\n31166,2019/03/24,I did hiking on 2019/03/24.,I did hiking on 2019/03/24.\n31167,2019/03/24,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n31168,2019/03/24,\"I had steak for lunch with Andrew, Emily, Kayden\",\"I had steak for lunch with Andrew, Emily, Kayden\"\n31169,2019/03/24,\"I had dinner with Andrew, Kayden. I ate sandwich.\",\"I had dinner with Andrew, Kayden. I ate sandwich.\"\n31170,2019/03/24,\"I spent 45 talking to Piper, Piper, Hazel on various topics late in the evening.\",\"I spent 45 talking to Piper, Piper, Hazel on various topics late in the evening.\"\n31171,2019/03/24,\"I spent 21 talking to Nevaeh, Nora, Piper, Claire on various topics in the early evening.\",\"I spent 21 talking to Nevaeh, Nora, Piper, Claire on various topics in the early evening.\"\n31172,2019/03/24,\"I spent 52 talking to Piper, Piper on various topics in the early evening.\",\"I spent 52 talking to Piper, Piper on various topics in the early evening.\"\n31173,2019/03/24,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n31174,2019/03/24,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n31175,2019/03/25,I did HIIT on 2019/03/25.,I did HIIT on 2019/03/25.\n31176,2019/03/25,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n31177,2019/03/25,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n31178,2019/03/25,\"I had fish and chips for dinner with Claire, Eva, Layla, Rylee, Piper, Kinsley, Nevaeh, Avery, Hazel, Nora, Piper, Olivia, Lydia\",\"I had fish and chips for dinner with Claire, Eva, Layla, Rylee, Piper, Kinsley, Nevaeh, Avery, Hazel, Nora, Piper, Olivia, Lydia\"\n31179,2019/03/25,\"I talked to Kinsley, Layla, Nevaeh for 32 minutes in the morning.\",\"I talked to Kinsley, Layla, Nevaeh for 32 minutes in the morning.\"\n31180,2019/03/25,\"I spent 17 talking to Piper, Lydia, Claire on various topics during lunch hours.\",\"I spent 17 talking to Piper, Lydia, Claire on various topics during lunch hours.\"\n31181,2019/03/25,I spent 28 talking to Avery on various topics late in the evening.,I spent 28 talking to Avery on various topics late in the evening.\n31182,2019/03/25,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n31183,2019/03/25,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n31184,2019/03/26,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n31185,2019/03/26,\"I had sushi for lunch with Willow, Avery, Benjamin\",\"I had sushi for lunch with Willow, Avery, Benjamin\"\n31186,2019/03/26,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n31187,2019/03/26,\"I talked to Eva, Nevaeh for 53 minutes in the early afternoon.\",\"I talked to Eva, Nevaeh for 53 minutes in the early afternoon.\"\n31188,2019/03/26,\"I spent 10 talking to Layla, Piper on various topics in the early afternoon.\",\"I spent 10 talking to Layla, Piper on various topics in the early afternoon.\"\n31189,2019/03/26,I talked to Piper for 27 minutes late in the evening.,I talked to Piper for 27 minutes late in the evening.\n31190,2019/03/26,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n31191,2019/03/26,I spent 24 minutes watching a documentary on TV today.,I spent 24 minutes watching a documentary on TV today.\n31192,2019/03/27,I did biking on 2019/03/27.,I did biking on 2019/03/27.\n31193,2019/03/27,\"I had peanut-butter-jam for breakfast with Carter, Kayden, Andrew\",\"I had peanut-butter-jam for breakfast with Carter, Kayden, Andrew\"\n31194,2019/03/27,\"I had sushi for lunch with Carter, Kayden\",\"I had sushi for lunch with Carter, Kayden\"\n31195,2019/03/27,I prepare pasta for dinner.,I prepare pasta for dinner.\n31196,2019/03/27,\"I spent 49 talking to Nevaeh, Kinsley, Eva on various topics in the late afternoon.\",\"I spent 49 talking to Nevaeh, Kinsley, Eva on various topics in the late afternoon.\"\n31197,2019/03/27,\"I spent 38 talking to Claire, Nevaeh on various topics late in the evening.\",\"I spent 38 talking to Claire, Nevaeh on various topics late in the evening.\"\n31198,2019/03/27,\"I spent 22 talking to Kinsley, Claire, Piper, Layla on various topics in the early afternoon.\",\"I spent 22 talking to Kinsley, Claire, Piper, Layla on various topics in the early afternoon.\"\n31199,2019/03/27,\"I talked to Hazel, Layla, Nora for 14 minutes in the early afternoon.\",\"I talked to Hazel, Layla, Nora for 14 minutes in the early afternoon.\"\n31200,2019/03/27,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n31201,2019/03/27,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n31202,2019/03/28,\"On 2019/03/28, I took Hazel on a date to a park\",\"On 2019/03/28, I took Hazel on a date to a park\"\n31203,2019/03/28,\"I bought some apples, blackberries, mandarins, cherres, milk, guava juice, chocolate milk, shampoo, shaving cream, mouthwash from the grocery store. I saw Andrew, Emily, Kayden, Carter at the grocery store.\",\"I bought some apples, blackberries, mandarins, cherres, milk, guava juice, chocolate milk, shampoo, shaving cream, mouthwash from the grocery store. I saw Andrew, Emily, Kayden, Carter at the grocery store.\"\n31204,2019/03/28,I did running on 2019/03/28.,I did running on 2019/03/28.\n31205,2019/03/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n31206,2019/03/28,I prepare tacos for lunch.,I prepare tacos for lunch.\n31207,2019/03/28,I prepare a burger for dinner.,I prepare a burger for dinner.\n31208,2019/03/28,I spent 19 talking to Nora on various topics late in the evening.,I spent 19 talking to Nora on various topics late in the evening.\n31209,2019/03/28,\"I talked to Olivia, Lydia, Rylee, Avery for 34 minutes in the late afternoon.\",\"I talked to Olivia, Lydia, Rylee, Avery for 34 minutes in the late afternoon.\"\n31210,2019/03/28,I spent 10 talking to Eva on various topics in the late afternoon.,I spent 10 talking to Eva on various topics in the late afternoon.\n31211,2019/03/28,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n31212,2019/03/28,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n31213,2019/03/29,\"I really enjoyed cooking macaroni and cheese, so-easy sloppy joes, thai noodle salad on 2019/03/29 with Benjamin, Jackson, Willow at my place\",\"I really enjoyed cooking macaroni and cheese, so-easy sloppy joes, thai noodle salad on 2019/03/29 with Benjamin, Jackson, Willow at my place\"\n31214,2019/03/29,I went on a date with Adam on 2019/03/29 at a boba shop,I went on a date with Adam on 2019/03/29 at a boba shop\n31215,2019/03/29,\"I bought some oranges, tea, orange juice, milk, toothbrush from the grocery store. I saw Avery, Benjamin, Jackson at the grocery store.\",\"I bought some oranges, tea, orange juice, milk, toothbrush from the grocery store. I saw Avery, Benjamin, Jackson at the grocery store.\"\n31216,2019/03/29,I did running on 2019/03/29.,I did running on 2019/03/29.\n31217,2019/03/29,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n31218,2019/03/29,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n31219,2019/03/29,\"I had dinner with Kayden, Andrew, Emily. I ate sandwich.\",\"I had dinner with Kayden, Andrew, Emily. I ate sandwich.\"\n31220,2019/03/29,\"I spent 50 talking to Nevaeh, Claire, Rylee, Avery on various topics in the early evening.\",\"I spent 50 talking to Nevaeh, Claire, Rylee, Avery on various topics in the early evening.\"\n31221,2019/03/29,\"I talked to Lydia, Olivia, Eva for 28 minutes in the early afternoon.\",\"I talked to Lydia, Olivia, Eva for 28 minutes in the early afternoon.\"\n31222,2019/03/29,I talked to Avery for 22 minutes in the early evening.,I talked to Avery for 22 minutes in the early evening.\n31223,2019/03/29,\"I talked to Hazel, Piper, Avery for 43 minutes in the late afternoon.\",\"I talked to Hazel, Piper, Avery for 43 minutes in the late afternoon.\"\n31224,2019/03/29,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n31225,2019/03/29,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n31226,2019/03/30,I did biking on 2019/03/30.,I did biking on 2019/03/30.\n31227,2019/03/30,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n31228,2019/03/30,I had pasta for lunch with Andrew,I had pasta for lunch with Andrew\n31229,2019/03/30,I ate steak for dinner.,I ate steak for dinner.\n31230,2019/03/30,\"I spent 44 talking to Kinsley, Piper, Eva, Piper on various topics in the early evening.\",\"I spent 44 talking to Kinsley, Piper, Eva, Piper on various topics in the early evening.\"\n31231,2019/03/30,\"I talked to Nora, Eva, Layla for 20 minutes in the late afternoon.\",\"I talked to Nora, Eva, Layla for 20 minutes in the late afternoon.\"\n31232,2019/03/30,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n31233,2019/03/30,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n31234,2019/03/31,I did HIIT on 2019/03/31.,I did HIIT on 2019/03/31.\n31235,2019/03/31,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n31236,2019/03/31,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n31237,2019/03/31,I prepare tacos for dinner.,I prepare tacos for dinner.\n31238,2019/03/31,\"I spent 19 talking to Claire, Nora, Piper, Piper on various topics during lunch hours.\",\"I spent 19 talking to Claire, Nora, Piper, Piper on various topics during lunch hours.\"\n31239,2019/03/31,\"I spent 24 talking to Olivia, Nora on various topics in the morning.\",\"I spent 24 talking to Olivia, Nora on various topics in the morning.\"\n31240,2019/03/31,\"I talked to Olivia, Avery for 8 minutes in the morning.\",\"I talked to Olivia, Avery for 8 minutes in the morning.\"\n31241,2019/03/31,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n31242,2019/03/31,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n31243,2019/04/01,I did weight lifting on 2019/04/01.,I did weight lifting on 2019/04/01.\n31244,2019/04/01,\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate peanut-butter-jam.\"\n31245,2019/04/01,I ate steak for lunch.,I ate steak for lunch.\n31246,2019/04/01,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n31247,2019/04/01,I spent 50 talking to Eva on various topics during lunch hours.,I spent 50 talking to Eva on various topics during lunch hours.\n31248,2019/04/01,I spent 25 talking to Claire on various topics in the morning.,I spent 25 talking to Claire on various topics in the morning.\n31249,2019/04/01,I spent 14 talking to Eva on various topics in the early afternoon.,I spent 14 talking to Eva on various topics in the early afternoon.\n31250,2019/04/01,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n31251,2019/04/01,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n31252,2019/04/02,\"On 2019/04/02, I took Naomi on a date to a boba shop\",\"On 2019/04/02, I took Naomi on a date to a boba shop\"\n31253,2019/04/02,I did hiking on 2019/04/02.,I did hiking on 2019/04/02.\n31254,2019/04/02,\"I had cereals for breakfast with Kayden, Andrew, Emily\",\"I had cereals for breakfast with Kayden, Andrew, Emily\"\n31255,2019/04/02,I ate tacos for lunch.,I ate tacos for lunch.\n31256,2019/04/02,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n31257,2019/04/02,\"I spent 13 talking to Layla, Kinsley, Claire on various topics in the late afternoon.\",\"I spent 13 talking to Layla, Kinsley, Claire on various topics in the late afternoon.\"\n31258,2019/04/02,I talked to Claire for 7 minutes late in the evening.,I talked to Claire for 7 minutes late in the evening.\n31259,2019/04/02,\"I talked to Rylee, Eva, Avery, Nora for 18 minutes in the morning.\",\"I talked to Rylee, Eva, Avery, Nora for 18 minutes in the morning.\"\n31260,2019/04/02,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n31261,2019/04/02,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n31262,2019/04/03,I did HIIT on 2019/04/03.,I did HIIT on 2019/04/03.\n31263,2019/04/03,\"I had pancakes for breakfast with Carter, Kayden, Andrew\",\"I had pancakes for breakfast with Carter, Kayden, Andrew\"\n31264,2019/04/03,I prepare a burger for lunch.,I prepare a burger for lunch.\n31265,2019/04/03,I ate steak for dinner.,I ate steak for dinner.\n31266,2019/04/03,\"I talked to Eva, Nora, Avery for 39 minutes in the early afternoon.\",\"I talked to Eva, Nora, Avery for 39 minutes in the early afternoon.\"\n31267,2019/04/03,I spent 33 talking to Layla on various topics in the early evening.,I spent 33 talking to Layla on various topics in the early evening.\n31268,2019/04/03,\"I talked to Piper, Hazel, Piper, Lydia for 31 minutes during lunch hours.\",\"I talked to Piper, Hazel, Piper, Lydia for 31 minutes during lunch hours.\"\n31269,2019/04/03,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n31270,2019/04/03,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n31271,2019/04/04,I did weight lifting on 2019/04/04.,I did weight lifting on 2019/04/04.\n31272,2019/04/04,\"I had toast and cheese for breakfast with Carter, Andrew, Emily, Kayden\",\"I had toast and cheese for breakfast with Carter, Andrew, Emily, Kayden\"\n31273,2019/04/04,I had lunch. I ate steak.,I had lunch. I ate steak.\n31274,2019/04/04,\"I had dinner with Avery, Lydia, Nevaeh, Kinsley, Piper, Layla, Claire, Nora, Eva, Piper, Hazel, Rylee, Olivia. I ate pasta.\",\"I had dinner with Avery, Lydia, Nevaeh, Kinsley, Piper, Layla, Claire, Nora, Eva, Piper, Hazel, Rylee, Olivia. I ate pasta.\"\n31275,2019/04/04,I spent 42 talking to Avery on various topics in the late afternoon.,I spent 42 talking to Avery on various topics in the late afternoon.\n31276,2019/04/04,I spent 53 talking to Nevaeh on various topics during lunch hours.,I spent 53 talking to Nevaeh on various topics during lunch hours.\n31277,2019/04/04,I talked to Nevaeh for 20 minutes in the late afternoon.,I talked to Nevaeh for 20 minutes in the late afternoon.\n31278,2019/04/04,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n31279,2019/04/04,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n31280,2019/04/05,I did weight lifting on 2019/04/05.,I did weight lifting on 2019/04/05.\n31281,2019/04/05,\"I had breakfast with Andrew, Carter, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Carter, Kayden. I ate peanut-butter-jam.\"\n31282,2019/04/05,\"I had lunch with Hazel, Piper. I ate sandwich.\",\"I had lunch with Hazel, Piper. I ate sandwich.\"\n31283,2019/04/05,I ate pasta for dinner.,I ate pasta for dinner.\n31284,2019/04/05,\"I spent 5 talking to Eva, Lydia, Hazel, Kinsley on various topics during lunch hours.\",\"I spent 5 talking to Eva, Lydia, Hazel, Kinsley on various topics during lunch hours.\"\n31285,2019/04/05,I spent 36 talking to Eva on various topics during lunch hours.,I spent 36 talking to Eva on various topics during lunch hours.\n31286,2019/04/05,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n31287,2019/04/05,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n31288,2019/04/06,\"I bought some oranges, apples, guava juice, mango juice, toilet paper, paper towel from the grocery store. I saw Emily, Carter, Andrew, Kayden at the grocery store.\",\"I bought some oranges, apples, guava juice, mango juice, toilet paper, paper towel from the grocery store. I saw Emily, Carter, Andrew, Kayden at the grocery store.\"\n31289,2019/04/06,I did hiking on 2019/04/06.,I did hiking on 2019/04/06.\n31290,2019/04/06,I ate cereals for breakfast.,I ate cereals for breakfast.\n31291,2019/04/06,I had lunch with Carter. I ate steak.,I had lunch with Carter. I ate steak.\n31292,2019/04/06,I had dinner. I ate steak.,I had dinner. I ate steak.\n31293,2019/04/06,I spent 49 talking to Nevaeh on various topics in the morning.,I spent 49 talking to Nevaeh on various topics in the morning.\n31294,2019/04/06,\"I talked to Olivia, Avery for 29 minutes during lunch hours.\",\"I talked to Olivia, Avery for 29 minutes during lunch hours.\"\n31295,2019/04/06,I spent 32 talking to Piper on various topics in the morning.,I spent 32 talking to Piper on various topics in the morning.\n31296,2019/04/06,\"I talked to Kinsley, Piper for 11 minutes in the early evening.\",\"I talked to Kinsley, Piper for 11 minutes in the early evening.\"\n31297,2019/04/06,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n31298,2019/04/06,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n31299,2019/04/07,I did swimming on 2019/04/07.,I did swimming on 2019/04/07.\n31300,2019/04/07,\"I had breakfast with Jackson, Benjamin, Avery, Willow. I ate toast and cheese.\",\"I had breakfast with Jackson, Benjamin, Avery, Willow. I ate toast and cheese.\"\n31301,2019/04/07,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n31302,2019/04/07,\"I had sushi for dinner with Nevaeh, Avery, Rylee, Lydia, Kinsley, Nora, Hazel, Piper, Piper, Claire, Layla, Olivia\",\"I had sushi for dinner with Nevaeh, Avery, Rylee, Lydia, Kinsley, Nora, Hazel, Piper, Piper, Claire, Layla, Olivia\"\n31303,2019/04/07,I talked to Nevaeh for 34 minutes in the late afternoon.,I talked to Nevaeh for 34 minutes in the late afternoon.\n31304,2019/04/07,\"I talked to Kinsley, Rylee for 36 minutes in the morning.\",\"I talked to Kinsley, Rylee for 36 minutes in the morning.\"\n31305,2019/04/07,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n31306,2019/04/07,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n31307,2019/04/08,I did HIIT on 2019/04/08.,I did HIIT on 2019/04/08.\n31308,2019/04/08,I had peanut-butter-jam for breakfast with Willow,I had peanut-butter-jam for breakfast with Willow\n31309,2019/04/08,\"I had lunch with Kayden, Andrew, Carter, Emily. I ate indian food.\",\"I had lunch with Kayden, Andrew, Carter, Emily. I ate indian food.\"\n31310,2019/04/08,\"I had tacos for dinner with Avery, Lydia\",\"I had tacos for dinner with Avery, Lydia\"\n31311,2019/04/08,\"I spent 21 talking to Nevaeh, Hazel, Avery on various topics late in the evening.\",\"I spent 21 talking to Nevaeh, Hazel, Avery on various topics late in the evening.\"\n31312,2019/04/08,\"I spent 11 talking to Layla, Rylee, Kinsley, Nevaeh on various topics in the late afternoon.\",\"I spent 11 talking to Layla, Rylee, Kinsley, Nevaeh on various topics in the late afternoon.\"\n31313,2019/04/08,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n31314,2019/04/08,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n31315,2019/04/09,I went on a date with Lambert on 2019/04/09 at a boba shop,I went on a date with Lambert on 2019/04/09 at a boba shop\n31316,2019/04/09,I did weight lifting on 2019/04/09.,I did weight lifting on 2019/04/09.\n31317,2019/04/09,\"I had cereals for breakfast with Andrew, Emily\",\"I had cereals for breakfast with Andrew, Emily\"\n31318,2019/04/09,I ate sushi for lunch.,I ate sushi for lunch.\n31319,2019/04/09,\"I had dinner with Emily, Kayden, Andrew, Carter. I ate a burger.\",\"I had dinner with Emily, Kayden, Andrew, Carter. I ate a burger.\"\n31320,2019/04/09,\"I talked to Lydia, Nora, Nevaeh for 37 minutes late in the evening.\",\"I talked to Lydia, Nora, Nevaeh for 37 minutes late in the evening.\"\n31321,2019/04/09,\"I spent 26 talking to Kinsley, Nevaeh, Eva on various topics in the late afternoon.\",\"I spent 26 talking to Kinsley, Nevaeh, Eva on various topics in the late afternoon.\"\n31322,2019/04/09,I spent 50 talking to Rylee on various topics in the morning.,I spent 50 talking to Rylee on various topics in the morning.\n31323,2019/04/09,\"I spent 21 talking to Nora, Layla, Hazel, Rylee on various topics during lunch hours.\",\"I spent 21 talking to Nora, Layla, Hazel, Rylee on various topics during lunch hours.\"\n31324,2019/04/09,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n31325,2019/04/09,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n31326,2019/04/10,I did swimming on 2019/04/10.,I did swimming on 2019/04/10.\n31327,2019/04/10,\"I had breakfast with Nora, Kinsley, Nevaeh. I ate pancakes.\",\"I had breakfast with Nora, Kinsley, Nevaeh. I ate pancakes.\"\n31328,2019/04/10,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n31329,2019/04/10,I ate sushi for dinner.,I ate sushi for dinner.\n31330,2019/04/10,I spent 37 talking to Olivia on various topics in the early evening.,I spent 37 talking to Olivia on various topics in the early evening.\n31331,2019/04/10,\"I spent 11 talking to Nora, Kinsley, Lydia on various topics in the early afternoon.\",\"I spent 11 talking to Nora, Kinsley, Lydia on various topics in the early afternoon.\"\n31332,2019/04/10,I talked to Eva for 48 minutes in the early afternoon.,I talked to Eva for 48 minutes in the early afternoon.\n31333,2019/04/10,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n31334,2019/04/10,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n31335,2019/04/11,I really enjoyed yoga on 2019/04/11,I really enjoyed yoga on 2019/04/11\n31336,2019/04/11,\"I went grocery shopping. I bought some peaches, raspberries, mango juice, milk, orange juice, sports drinks, and toothbrush\",\"I went grocery shopping. I bought some peaches, raspberries, mango juice, milk, orange juice, sports drinks, and toothbrush\"\n31337,2019/04/11,I did running on 2019/04/11.,I did running on 2019/04/11.\n31338,2019/04/11,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n31339,2019/04/11,I ate sandwich for lunch.,I ate sandwich for lunch.\n31340,2019/04/11,I ate tacos for dinner.,I ate tacos for dinner.\n31341,2019/04/11,I talked to Olivia for 26 minutes in the morning.,I talked to Olivia for 26 minutes in the morning.\n31342,2019/04/11,\"I talked to Avery, Lydia, Rylee, Nora for 17 minutes during lunch hours.\",\"I talked to Avery, Lydia, Rylee, Nora for 17 minutes during lunch hours.\"\n31343,2019/04/11,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n31344,2019/04/11,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n31345,2019/04/12,I took Kayden for his/her  for an annual physical checkup on 2019/04/12 at the private clinic.,I took Kayden for his/her  for an annual physical checkup on 2019/04/12 at the private clinic.\n31346,2019/04/12,I did HIIT on 2019/04/12.,I did HIIT on 2019/04/12.\n31347,2019/04/12,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n31348,2019/04/12,I had lunch. I ate steak.,I had lunch. I ate steak.\n31349,2019/04/12,\"I had dinner with Jackson, Avery. I ate a burger.\",\"I had dinner with Jackson, Avery. I ate a burger.\"\n31350,2019/04/12,\"I spent 39 talking to Eva, Hazel on various topics late in the evening.\",\"I spent 39 talking to Eva, Hazel on various topics late in the evening.\"\n31351,2019/04/12,\"I spent 16 talking to Nevaeh, Olivia on various topics in the late afternoon.\",\"I spent 16 talking to Nevaeh, Olivia on various topics in the late afternoon.\"\n31352,2019/04/12,\"I talked to Lydia, Nora for 40 minutes in the late afternoon.\",\"I talked to Lydia, Nora for 40 minutes in the late afternoon.\"\n31353,2019/04/12,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n31354,2019/04/12,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n31355,2019/04/13,\"On 2019/04/13, I took Jayden on a date to a boba shop\",\"On 2019/04/13, I took Jayden on a date to a boba shop\"\n31356,2019/04/13,I did HIIT on 2019/04/13.,I did HIIT on 2019/04/13.\n31357,2019/04/13,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n31358,2019/04/13,I prepare a burger for lunch.,I prepare a burger for lunch.\n31359,2019/04/13,I ate sandwich for dinner.,I ate sandwich for dinner.\n31360,2019/04/13,\"I spent 5 talking to Eva, Piper, Lydia, Claire on various topics in the early evening.\",\"I spent 5 talking to Eva, Piper, Lydia, Claire on various topics in the early evening.\"\n31361,2019/04/13,\"I spent 54 talking to Lydia, Claire, Piper, Nora on various topics during lunch hours.\",\"I spent 54 talking to Lydia, Claire, Piper, Nora on various topics during lunch hours.\"\n31362,2019/04/13,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n31363,2019/04/13,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n31364,2019/04/14,I did hiking on 2019/04/14.,I did hiking on 2019/04/14.\n31365,2019/04/14,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n31366,2019/04/14,I prepare steak for lunch.,I prepare steak for lunch.\n31367,2019/04/14,\"I had sushi for dinner with Avery, Jackson, Willow, Benjamin\",\"I had sushi for dinner with Avery, Jackson, Willow, Benjamin\"\n31368,2019/04/14,\"I spent 14 talking to Eva, Nora, Layla on various topics during lunch hours.\",\"I spent 14 talking to Eva, Nora, Layla on various topics during lunch hours.\"\n31369,2019/04/14,I spent 30 talking to Avery on various topics in the morning.,I spent 30 talking to Avery on various topics in the morning.\n31370,2019/04/14,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n31371,2019/04/14,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n31372,2019/04/15,\"I bought some clementines, guava, guava juice, mouthwash, body lotion, mouth wash, toothpaste online.\",\"I bought some clementines, guava, guava juice, mouthwash, body lotion, mouth wash, toothpaste online.\"\n31373,2019/04/15,I did weight lifting on 2019/04/15.,I did weight lifting on 2019/04/15.\n31374,2019/04/15,\"I had cereals for breakfast with Emily, Carter, Kayden, Andrew\",\"I had cereals for breakfast with Emily, Carter, Kayden, Andrew\"\n31375,2019/04/15,\"I had lunch with Rylee, Olivia, Piper, Eva, Nevaeh, Hazel, Kinsley. I ate sandwich.\",\"I had lunch with Rylee, Olivia, Piper, Eva, Nevaeh, Hazel, Kinsley. I ate sandwich.\"\n31376,2019/04/15,I had dinner with Willow. I ate sandwich.,I had dinner with Willow. I ate sandwich.\n31377,2019/04/15,\"I talked to Piper, Layla for 7 minutes late in the evening.\",\"I talked to Piper, Layla for 7 minutes late in the evening.\"\n31378,2019/04/15,I spent 19 talking to Olivia on various topics late in the evening.,I spent 19 talking to Olivia on various topics late in the evening.\n31379,2019/04/15,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n31380,2019/04/15,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n31381,2019/04/16,\"I bought some oranges, guava juice, shaving cream online.\",\"I bought some oranges, guava juice, shaving cream online.\"\n31382,2019/04/16,I did running on 2019/04/16.,I did running on 2019/04/16.\n31383,2019/04/16,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n31384,2019/04/16,I ate indian food for lunch.,I ate indian food for lunch.\n31385,2019/04/16,I had fish and chips for dinner with Andrew,I had fish and chips for dinner with Andrew\n31386,2019/04/16,\"I talked to Piper, Nevaeh, Piper, Hazel for 27 minutes late in the evening.\",\"I talked to Piper, Nevaeh, Piper, Hazel for 27 minutes late in the evening.\"\n31387,2019/04/16,\"I talked to Nevaeh, Olivia, Piper for 35 minutes in the early afternoon.\",\"I talked to Nevaeh, Olivia, Piper for 35 minutes in the early afternoon.\"\n31388,2019/04/16,\"I spent 52 talking to Hazel, Claire, Nevaeh on various topics in the late afternoon.\",\"I spent 52 talking to Hazel, Claire, Nevaeh on various topics in the late afternoon.\"\n31389,2019/04/16,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n31390,2019/04/16,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n31391,2019/04/17,I spent some time working out on 2019/04/17.,I spent some time working out on 2019/04/17.\n31392,2019/04/17,\"I had pancakes for breakfast with Kinsley, Avery, Piper\",\"I had pancakes for breakfast with Kinsley, Avery, Piper\"\n31393,2019/04/17,\"I had lunch with Kayden, Emily, Carter. I ate steak.\",\"I had lunch with Kayden, Emily, Carter. I ate steak.\"\n31394,2019/04/17,\"I had pasta for dinner with Nevaeh, Nora, Avery, Hazel, Eva, Kinsley\",\"I had pasta for dinner with Nevaeh, Nora, Avery, Hazel, Eva, Kinsley\"\n31395,2019/04/17,\"I talked to Nevaeh, Nora, Rylee, Olivia for 9 minutes in the early evening.\",\"I talked to Nevaeh, Nora, Rylee, Olivia for 9 minutes in the early evening.\"\n31396,2019/04/17,\"I spent 49 talking to Rylee, Piper, Olivia, Nevaeh on various topics in the early evening.\",\"I spent 49 talking to Rylee, Piper, Olivia, Nevaeh on various topics in the early evening.\"\n31397,2019/04/17,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n31398,2019/04/17,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n31399,2019/04/18,I went for an annual dental cleaning and checkup on 2019/04/18 at the private clinic.,I went for an annual dental cleaning and checkup on 2019/04/18 at the private clinic.\n31400,2019/04/18,I went on a date with Anna on 2019/04/18 at a restaurant,I went on a date with Anna on 2019/04/18 at a restaurant\n31401,2019/04/18,I did weight lifting on 2019/04/18.,I did weight lifting on 2019/04/18.\n31402,2019/04/18,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n31403,2019/04/18,I prepare sushi for lunch.,I prepare sushi for lunch.\n31404,2019/04/18,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n31405,2019/04/18,I spent 39 talking to Claire on various topics late in the evening.,I spent 39 talking to Claire on various topics late in the evening.\n31406,2019/04/18,\"I talked to Layla, Lydia, Nevaeh, Eva for 21 minutes in the early evening.\",\"I talked to Layla, Lydia, Nevaeh, Eva for 21 minutes in the early evening.\"\n31407,2019/04/18,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n31408,2019/04/18,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n31409,2019/04/19,\"On 2019/04/19, I took Maverick on a date to a boba shop\",\"On 2019/04/19, I took Maverick on a date to a boba shop\"\n31410,2019/04/19,I did biking on 2019/04/19.,I did biking on 2019/04/19.\n31411,2019/04/19,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n31412,2019/04/19,I ate chinese food for lunch.,I ate chinese food for lunch.\n31413,2019/04/19,\"I had dinner with Rylee, Avery, Nevaeh, Piper, Lydia. I ate fish and chips.\",\"I had dinner with Rylee, Avery, Nevaeh, Piper, Lydia. I ate fish and chips.\"\n31414,2019/04/19,\"I spent 23 talking to Piper, Hazel, Piper, Olivia on various topics in the early afternoon.\",\"I spent 23 talking to Piper, Hazel, Piper, Olivia on various topics in the early afternoon.\"\n31415,2019/04/19,\"I talked to Layla, Claire for 23 minutes in the early afternoon.\",\"I talked to Layla, Claire for 23 minutes in the early afternoon.\"\n31416,2019/04/19,\"I talked to Olivia, Lydia, Hazel, Piper for 11 minutes during lunch hours.\",\"I talked to Olivia, Lydia, Hazel, Piper for 11 minutes during lunch hours.\"\n31417,2019/04/19,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n31418,2019/04/19,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n31419,2019/04/20,\"I went grocery shopping. I bought some cherres, chocolate milk, milk, and toilet paper, conditioner\",\"I went grocery shopping. I bought some cherres, chocolate milk, milk, and toilet paper, conditioner\"\n31420,2019/04/20,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n31421,2019/04/20,\"I had lunch with Avery, Jackson. I ate fish and chips.\",\"I had lunch with Avery, Jackson. I ate fish and chips.\"\n31422,2019/04/20,\"I had dinner with Kinsley, Claire, Avery, Piper, Piper, Lydia, Rylee, Layla, Olivia, Hazel, Nevaeh, Eva, Nora. I ate chinese food.\",\"I had dinner with Kinsley, Claire, Avery, Piper, Piper, Lydia, Rylee, Layla, Olivia, Hazel, Nevaeh, Eva, Nora. I ate chinese food.\"\n31423,2019/04/20,\"I talked to Layla, Hazel, Lydia for 5 minutes in the late afternoon.\",\"I talked to Layla, Hazel, Lydia for 5 minutes in the late afternoon.\"\n31424,2019/04/20,I spent 8 talking to Layla on various topics late in the evening.,I spent 8 talking to Layla on various topics late in the evening.\n31425,2019/04/20,I talked to Layla for 49 minutes late in the evening.,I talked to Layla for 49 minutes late in the evening.\n31426,2019/04/20,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n31427,2019/04/20,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n31428,2019/04/21,I did running on 2019/04/21.,I did running on 2019/04/21.\n31429,2019/04/21,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n31430,2019/04/21,I ate steak for lunch.,I ate steak for lunch.\n31431,2019/04/21,\"I had a burger for dinner with Olivia, Rylee, Claire, Hazel, Piper, Nora\",\"I had a burger for dinner with Olivia, Rylee, Claire, Hazel, Piper, Nora\"\n31432,2019/04/21,\"I spent 18 talking to Olivia, Avery, Nora on various topics in the morning.\",\"I spent 18 talking to Olivia, Avery, Nora on various topics in the morning.\"\n31433,2019/04/21,\"I spent 37 talking to Eva, Nora on various topics late in the evening.\",\"I spent 37 talking to Eva, Nora on various topics late in the evening.\"\n31434,2019/04/21,\"I talked to Piper, Eva, Piper for 55 minutes late in the evening.\",\"I talked to Piper, Eva, Piper for 55 minutes late in the evening.\"\n31435,2019/04/21,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n31436,2019/04/21,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n31437,2019/04/22,\"I spent time learning a language on 2019/04/22 with Emily, Kayden, Carter.\",\"I spent time learning a language on 2019/04/22 with Emily, Kayden, Carter.\"\n31438,2019/04/22,I did weight lifting on 2019/04/22.,I did weight lifting on 2019/04/22.\n31439,2019/04/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n31440,2019/04/22,\"I had tacos for lunch with Emily, Kayden\",\"I had tacos for lunch with Emily, Kayden\"\n31441,2019/04/22,I prepare sushi for dinner.,I prepare sushi for dinner.\n31442,2019/04/22,\"I talked to Nora, Avery, Rylee for 30 minutes during lunch hours.\",\"I talked to Nora, Avery, Rylee for 30 minutes during lunch hours.\"\n31443,2019/04/22,\"I spent 8 talking to Lydia, Olivia on various topics in the early evening.\",\"I spent 8 talking to Lydia, Olivia on various topics in the early evening.\"\n31444,2019/04/22,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n31445,2019/04/22,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n31446,2019/04/23,\"I had breakfast with Piper, Kinsley, Nevaeh, Rylee, Piper, Layla, Olivia, Hazel. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Kinsley, Nevaeh, Rylee, Piper, Layla, Olivia, Hazel. I ate eggs, sausages, and bread.\"\n31447,2019/04/23,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n31448,2019/04/23,\"I had steak for dinner with Olivia, Lydia, Nevaeh\",\"I had steak for dinner with Olivia, Lydia, Nevaeh\"\n31449,2019/04/23,\"I spent 30 talking to Rylee, Avery on various topics in the early afternoon.\",\"I spent 30 talking to Rylee, Avery on various topics in the early afternoon.\"\n31450,2019/04/23,\"I talked to Nevaeh, Piper, Piper for 39 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Piper for 39 minutes in the late afternoon.\"\n31451,2019/04/23,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n31452,2019/04/23,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n31453,2019/04/24,\"I went grocery shopping. I bought some peaches, mangos, blueberries, pears, apple juice, soda, orange juice, milk, and mouth wash\",\"I went grocery shopping. I bought some peaches, mangos, blueberries, pears, apple juice, soda, orange juice, milk, and mouth wash\"\n31454,2019/04/24,I did swimming on 2019/04/24.,I did swimming on 2019/04/24.\n31455,2019/04/24,\"I had breakfast with Andrew, Kayden. I ate cereals.\",\"I had breakfast with Andrew, Kayden. I ate cereals.\"\n31456,2019/04/24,\"I had indian food for lunch with Avery, Willow, Benjamin, Jackson\",\"I had indian food for lunch with Avery, Willow, Benjamin, Jackson\"\n31457,2019/04/24,\"I had indian food for dinner with Willow, Jackson, Benjamin\",\"I had indian food for dinner with Willow, Jackson, Benjamin\"\n31458,2019/04/24,\"I spent 51 talking to Kinsley, Avery, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 51 talking to Kinsley, Avery, Nevaeh, Piper on various topics in the early afternoon.\"\n31459,2019/04/24,I spent 21 talking to Rylee on various topics in the early afternoon.,I spent 21 talking to Rylee on various topics in the early afternoon.\n31460,2019/04/24,\"I spent 23 talking to Avery, Nora, Claire, Eva on various topics in the late afternoon.\",\"I spent 23 talking to Avery, Nora, Claire, Eva on various topics in the late afternoon.\"\n31461,2019/04/24,I talked to Nora for 55 minutes late in the evening.,I talked to Nora for 55 minutes late in the evening.\n31462,2019/04/24,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n31463,2019/04/24,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n31464,2019/04/25,\"I spent time gardening on 2019/04/25 with Emily, Andrew.\",\"I spent time gardening on 2019/04/25 with Emily, Andrew.\"\n31465,2019/04/25,\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden\",\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden\"\n31466,2019/04/25,I had lunch with Carter. I ate fish and chips.,I had lunch with Carter. I ate fish and chips.\n31467,2019/04/25,I ate steak for dinner.,I ate steak for dinner.\n31468,2019/04/25,\"I talked to Lydia, Claire for 14 minutes in the late afternoon.\",\"I talked to Lydia, Claire for 14 minutes in the late afternoon.\"\n31469,2019/04/25,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n31470,2019/04/25,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n31471,2019/04/26,I did hiking on 2019/04/26.,I did hiking on 2019/04/26.\n31472,2019/04/26,\"I had breakfast with Avery, Olivia, Claire, Nora, Nevaeh, Piper, Kinsley, Layla, Rylee, Eva, Lydia. I ate cereals.\",\"I had breakfast with Avery, Olivia, Claire, Nora, Nevaeh, Piper, Kinsley, Layla, Rylee, Eva, Lydia. I ate cereals.\"\n31473,2019/04/26,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n31474,2019/04/26,I prepare pasta for dinner.,I prepare pasta for dinner.\n31475,2019/04/26,I talked to Piper for 32 minutes during lunch hours.,I talked to Piper for 32 minutes during lunch hours.\n31476,2019/04/26,\"I talked to Claire, Olivia, Nevaeh for 22 minutes late in the evening.\",\"I talked to Claire, Olivia, Nevaeh for 22 minutes late in the evening.\"\n31477,2019/04/26,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n31478,2019/04/26,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n31479,2019/04/27,I did weight lifting on 2019/04/27.,I did weight lifting on 2019/04/27.\n31480,2019/04/27,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n31481,2019/04/27,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n31482,2019/04/27,I ate sandwich for dinner.,I ate sandwich for dinner.\n31483,2019/04/27,\"I spent 25 talking to Lydia, Eva, Nora on various topics in the early afternoon.\",\"I spent 25 talking to Lydia, Eva, Nora on various topics in the early afternoon.\"\n31484,2019/04/27,\"I talked to Eva, Layla, Piper for 5 minutes late in the evening.\",\"I talked to Eva, Layla, Piper for 5 minutes late in the evening.\"\n31485,2019/04/27,\"I talked to Nora, Piper for 13 minutes in the morning.\",\"I talked to Nora, Piper for 13 minutes in the morning.\"\n31486,2019/04/27,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n31487,2019/04/27,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n31488,2019/04/28,I did HIIT on 2019/04/28.,I did HIIT on 2019/04/28.\n31489,2019/04/28,\"I had eggs, sausages, and bread for breakfast with Carter, Kayden\",\"I had eggs, sausages, and bread for breakfast with Carter, Kayden\"\n31490,2019/04/28,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n31491,2019/04/28,I prepare pasta for dinner.,I prepare pasta for dinner.\n31492,2019/04/28,I spent 17 talking to Rylee on various topics in the early afternoon.,I spent 17 talking to Rylee on various topics in the early afternoon.\n31493,2019/04/28,I talked to Rylee for 35 minutes in the late afternoon.,I talked to Rylee for 35 minutes in the late afternoon.\n31494,2019/04/28,\"I spent 18 talking to Kinsley, Lydia, Rylee on various topics in the morning.\",\"I spent 18 talking to Kinsley, Lydia, Rylee on various topics in the morning.\"\n31495,2019/04/28,\"I spent 16 talking to Kinsley, Piper, Avery on various topics in the early evening.\",\"I spent 16 talking to Kinsley, Piper, Avery on various topics in the early evening.\"\n31496,2019/04/28,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n31497,2019/04/28,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n31498,2019/04/29,I went on a date with Zoey on 2019/04/29 at a boba shop,I went on a date with Zoey on 2019/04/29 at a boba shop\n31499,2019/04/29,\"I went grocery shopping. I bought some blueberries, guava juice, apple juice, and toilet paper\",\"I went grocery shopping. I bought some blueberries, guava juice, apple juice, and toilet paper\"\n31500,2019/04/29,I did biking on 2019/04/29.,I did biking on 2019/04/29.\n31501,2019/04/29,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n31502,2019/04/29,I had lunch with Kayden. I ate sushi.,I had lunch with Kayden. I ate sushi.\n31503,2019/04/29,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n31504,2019/04/29,\"I talked to Rylee, Eva, Olivia, Kinsley for 49 minutes in the morning.\",\"I talked to Rylee, Eva, Olivia, Kinsley for 49 minutes in the morning.\"\n31505,2019/04/29,I spent 42 talking to Claire on various topics in the late afternoon.,I spent 42 talking to Claire on various topics in the late afternoon.\n31506,2019/04/29,I spent 52 talking to Claire on various topics in the morning.,I spent 52 talking to Claire on various topics in the morning.\n31507,2019/04/29,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n31508,2019/04/29,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n31509,2019/04/30,I ate cereals for breakfast.,I ate cereals for breakfast.\n31510,2019/04/30,\"I had lunch with Claire, Piper, Eva, Nevaeh, Rylee, Hazel, Nora, Kinsley, Piper, Avery, Layla. I ate sandwich.\",\"I had lunch with Claire, Piper, Eva, Nevaeh, Rylee, Hazel, Nora, Kinsley, Piper, Avery, Layla. I ate sandwich.\"\n31511,2019/04/30,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n31512,2019/04/30,\"I spent 16 talking to Nora, Olivia on various topics in the late afternoon.\",\"I spent 16 talking to Nora, Olivia on various topics in the late afternoon.\"\n31513,2019/04/30,\"I spent 54 talking to Claire, Avery on various topics in the early evening.\",\"I spent 54 talking to Claire, Avery on various topics in the early evening.\"\n31514,2019/04/30,\"I spent 55 talking to Piper, Avery, Rylee on various topics in the early afternoon.\",\"I spent 55 talking to Piper, Avery, Rylee on various topics in the early afternoon.\"\n31515,2019/04/30,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n31516,2019/04/30,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n31517,2019/05/01,I did HIIT on 2019/05/01.,I did HIIT on 2019/05/01.\n31518,2019/05/01,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n31519,2019/05/01,\"I had lunch with Emily, Kayden, Andrew. I ate pasta.\",\"I had lunch with Emily, Kayden, Andrew. I ate pasta.\"\n31520,2019/05/01,\"I had dinner with Layla, Kinsley, Avery, Nevaeh, Lydia, Piper, Hazel, Piper, Rylee, Nora, Olivia. I ate fish and chips.\",\"I had dinner with Layla, Kinsley, Avery, Nevaeh, Lydia, Piper, Hazel, Piper, Rylee, Nora, Olivia. I ate fish and chips.\"\n31521,2019/05/01,\"I spent 35 talking to Piper, Hazel, Rylee, Olivia on various topics in the morning.\",\"I spent 35 talking to Piper, Hazel, Rylee, Olivia on various topics in the morning.\"\n31522,2019/05/01,\"I spent 48 talking to Layla, Eva, Avery on various topics late in the evening.\",\"I spent 48 talking to Layla, Eva, Avery on various topics late in the evening.\"\n31523,2019/05/01,\"I talked to Piper, Claire, Kinsley, Rylee for 43 minutes in the late afternoon.\",\"I talked to Piper, Claire, Kinsley, Rylee for 43 minutes in the late afternoon.\"\n31524,2019/05/01,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n31525,2019/05/01,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n31526,2019/05/02,\"I bought some watermelons, clementines, peaches, pineapple juice, milk, toilet paper, conditioner, shaving cream from the grocery store. I saw Andrew, Carter, Emily at the grocery store.\",\"I bought some watermelons, clementines, peaches, pineapple juice, milk, toilet paper, conditioner, shaving cream from the grocery store. I saw Andrew, Carter, Emily at the grocery store.\"\n31527,2019/05/02,I did swimming on 2019/05/02.,I did swimming on 2019/05/02.\n31528,2019/05/02,\"I had breakfast with Emily, Kayden, Carter. I ate toast and cheese.\",\"I had breakfast with Emily, Kayden, Carter. I ate toast and cheese.\"\n31529,2019/05/02,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n31530,2019/05/02,I prepare indian food for dinner.,I prepare indian food for dinner.\n31531,2019/05/02,\"I spent 33 talking to Nora, Eva, Avery, Rylee on various topics in the late afternoon.\",\"I spent 33 talking to Nora, Eva, Avery, Rylee on various topics in the late afternoon.\"\n31532,2019/05/02,\"I spent 8 talking to Rylee, Piper, Layla, Nora on various topics in the early afternoon.\",\"I spent 8 talking to Rylee, Piper, Layla, Nora on various topics in the early afternoon.\"\n31533,2019/05/02,\"I talked to Lydia, Hazel, Nora, Piper for 19 minutes during lunch hours.\",\"I talked to Lydia, Hazel, Nora, Piper for 19 minutes during lunch hours.\"\n31534,2019/05/02,\"I spent 17 talking to Lydia, Olivia, Claire, Rylee on various topics in the late afternoon.\",\"I spent 17 talking to Lydia, Olivia, Claire, Rylee on various topics in the late afternoon.\"\n31535,2019/05/02,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n31536,2019/05/02,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n31537,2019/05/03,I did hiking on 2019/05/03.,I did hiking on 2019/05/03.\n31538,2019/05/03,\"I had breakfast with Kayden, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Carter. I ate eggs, sausages, and bread.\"\n31539,2019/05/03,I prepare a burger for lunch.,I prepare a burger for lunch.\n31540,2019/05/03,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n31541,2019/05/03,\"I talked to Nora, Avery, Layla, Lydia for 29 minutes in the morning.\",\"I talked to Nora, Avery, Layla, Lydia for 29 minutes in the morning.\"\n31542,2019/05/03,\"I spent 54 talking to Nevaeh, Rylee, Layla, Avery on various topics in the late afternoon.\",\"I spent 54 talking to Nevaeh, Rylee, Layla, Avery on various topics in the late afternoon.\"\n31543,2019/05/03,\"I talked to Eva, Nora, Layla for 6 minutes in the early evening.\",\"I talked to Eva, Nora, Layla for 6 minutes in the early evening.\"\n31544,2019/05/03,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n31545,2019/05/03,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n31546,2019/05/04,\"I went grocery shopping. I bought some mangos, milk, mango juice, and facial wash, paper towel\",\"I went grocery shopping. I bought some mangos, milk, mango juice, and facial wash, paper towel\"\n31547,2019/05/04,I did running on 2019/05/04.,I did running on 2019/05/04.\n31548,2019/05/04,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n31549,2019/05/04,I prepare steak for lunch.,I prepare steak for lunch.\n31550,2019/05/04,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n31551,2019/05/04,I spent 16 talking to Piper on various topics during lunch hours.,I spent 16 talking to Piper on various topics during lunch hours.\n31552,2019/05/04,\"I spent 47 talking to Claire, Piper, Avery on various topics late in the evening.\",\"I spent 47 talking to Claire, Piper, Avery on various topics late in the evening.\"\n31553,2019/05/04,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n31554,2019/05/04,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n31555,2019/05/05,I did biking on 2019/05/05.,I did biking on 2019/05/05.\n31556,2019/05/05,\"I had breakfast with Kayden, Carter, Emily. I ate oatmeal.\",\"I had breakfast with Kayden, Carter, Emily. I ate oatmeal.\"\n31557,2019/05/05,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n31558,2019/05/05,I had dinner with Andrew. I ate sushi.,I had dinner with Andrew. I ate sushi.\n31559,2019/05/05,\"I spent 8 talking to Nora, Kinsley, Piper, Nevaeh on various topics late in the evening.\",\"I spent 8 talking to Nora, Kinsley, Piper, Nevaeh on various topics late in the evening.\"\n31560,2019/05/05,\"I spent 45 talking to Eva, Claire, Piper on various topics in the late afternoon.\",\"I spent 45 talking to Eva, Claire, Piper on various topics in the late afternoon.\"\n31561,2019/05/05,\"I talked to Nora, Layla, Kinsley, Piper for 5 minutes late in the evening.\",\"I talked to Nora, Layla, Kinsley, Piper for 5 minutes late in the evening.\"\n31562,2019/05/05,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n31563,2019/05/05,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n31564,2019/05/06,I did running on 2019/05/06.,I did running on 2019/05/06.\n31565,2019/05/06,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n31566,2019/05/06,I prepare steak for lunch.,I prepare steak for lunch.\n31567,2019/05/06,I ate tacos for dinner.,I ate tacos for dinner.\n31568,2019/05/06,\"I spent 15 talking to Piper, Rylee on various topics during lunch hours.\",\"I spent 15 talking to Piper, Rylee on various topics during lunch hours.\"\n31569,2019/05/06,\"I talked to Layla, Olivia for 34 minutes in the early afternoon.\",\"I talked to Layla, Olivia for 34 minutes in the early afternoon.\"\n31570,2019/05/06,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n31571,2019/05/06,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n31572,2019/05/07,I did biking on 2019/05/07.,I did biking on 2019/05/07.\n31573,2019/05/07,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n31574,2019/05/07,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n31575,2019/05/07,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n31576,2019/05/07,I spent 44 talking to Layla on various topics in the late afternoon.,I spent 44 talking to Layla on various topics in the late afternoon.\n31577,2019/05/07,\"I talked to Nora, Eva, Nevaeh, Lydia for 48 minutes in the early evening.\",\"I talked to Nora, Eva, Nevaeh, Lydia for 48 minutes in the early evening.\"\n31578,2019/05/07,I spent 23 talking to Claire on various topics in the morning.,I spent 23 talking to Claire on various topics in the morning.\n31579,2019/05/07,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n31580,2019/05/07,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n31581,2019/05/08,I really enjoyed yoga on 2019/05/08,I really enjoyed yoga on 2019/05/08\n31582,2019/05/08,I did HIIT on 2019/05/08.,I did HIIT on 2019/05/08.\n31583,2019/05/08,\"I had breakfast with Kayden, Andrew. I ate oatmeal.\",\"I had breakfast with Kayden, Andrew. I ate oatmeal.\"\n31584,2019/05/08,\"I had lunch with Andrew, Emily, Carter. I ate steak.\",\"I had lunch with Andrew, Emily, Carter. I ate steak.\"\n31585,2019/05/08,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n31586,2019/05/08,\"I talked to Hazel, Kinsley, Lydia for 46 minutes in the late afternoon.\",\"I talked to Hazel, Kinsley, Lydia for 46 minutes in the late afternoon.\"\n31587,2019/05/08,\"I talked to Rylee, Avery, Kinsley, Lydia for 44 minutes in the early afternoon.\",\"I talked to Rylee, Avery, Kinsley, Lydia for 44 minutes in the early afternoon.\"\n31588,2019/05/08,\"I spent 35 talking to Piper, Nora, Rylee on various topics in the late afternoon.\",\"I spent 35 talking to Piper, Nora, Rylee on various topics in the late afternoon.\"\n31589,2019/05/08,\"I talked to Layla, Piper, Eva, Rylee for 21 minutes in the morning.\",\"I talked to Layla, Piper, Eva, Rylee for 21 minutes in the morning.\"\n31590,2019/05/08,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n31591,2019/05/08,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n31592,2019/05/09,I did hiking on 2019/05/09.,I did hiking on 2019/05/09.\n31593,2019/05/09,\"I had oatmeal for breakfast with Carter, Andrew\",\"I had oatmeal for breakfast with Carter, Andrew\"\n31594,2019/05/09,I had lunch with Willow. I ate sushi.,I had lunch with Willow. I ate sushi.\n31595,2019/05/09,\"I had chinese food for dinner with Carter, Kayden\",\"I had chinese food for dinner with Carter, Kayden\"\n31596,2019/05/09,\"I spent 18 talking to Kinsley, Olivia on various topics in the morning.\",\"I spent 18 talking to Kinsley, Olivia on various topics in the morning.\"\n31597,2019/05/09,I spent 20 talking to Layla on various topics late in the evening.,I spent 20 talking to Layla on various topics late in the evening.\n31598,2019/05/09,\"I talked to Piper, Nora for 17 minutes in the morning.\",\"I talked to Piper, Nora for 17 minutes in the morning.\"\n31599,2019/05/09,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n31600,2019/05/09,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n31601,2019/05/10,\"I went grocery shopping with Emily, Carter. I bought some blueberries, chocolate milk, mango juice, apple juice, and facial wash, conditioner, mouthwash, mouth wash\",\"I went grocery shopping with Emily, Carter. I bought some blueberries, chocolate milk, mango juice, apple juice, and facial wash, conditioner, mouthwash, mouth wash\"\n31602,2019/05/10,I did biking on 2019/05/10.,I did biking on 2019/05/10.\n31603,2019/05/10,\"I had breakfast with Lydia, Layla, Kinsley, Olivia, Nora, Claire. I ate oatmeal.\",\"I had breakfast with Lydia, Layla, Kinsley, Olivia, Nora, Claire. I ate oatmeal.\"\n31604,2019/05/10,I ate pasta for lunch.,I ate pasta for lunch.\n31605,2019/05/10,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n31606,2019/05/10,\"I talked to Kinsley, Piper, Hazel, Eva for 5 minutes late in the evening.\",\"I talked to Kinsley, Piper, Hazel, Eva for 5 minutes late in the evening.\"\n31607,2019/05/10,I talked to Piper for 11 minutes in the early evening.,I talked to Piper for 11 minutes in the early evening.\n31608,2019/05/10,\"I spent 18 talking to Nora, Rylee, Hazel, Avery on various topics in the early afternoon.\",\"I spent 18 talking to Nora, Rylee, Hazel, Avery on various topics in the early afternoon.\"\n31609,2019/05/10,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n31610,2019/05/10,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n31611,2019/05/11,I did weight lifting on 2019/05/11.,I did weight lifting on 2019/05/11.\n31612,2019/05/11,\"I had cereals for breakfast with Andrew, Emily, Kayden\",\"I had cereals for breakfast with Andrew, Emily, Kayden\"\n31613,2019/05/11,I had lunch. I ate steak.,I had lunch. I ate steak.\n31614,2019/05/11,I prepare steak for dinner.,I prepare steak for dinner.\n31615,2019/05/11,\"I talked to Olivia, Nevaeh, Rylee for 48 minutes in the late afternoon.\",\"I talked to Olivia, Nevaeh, Rylee for 48 minutes in the late afternoon.\"\n31616,2019/05/11,I talked to Rylee for 43 minutes in the morning.,I talked to Rylee for 43 minutes in the morning.\n31617,2019/05/11,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n31618,2019/05/11,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n31619,2019/05/12,I did weight lifting on 2019/05/12.,I did weight lifting on 2019/05/12.\n31620,2019/05/12,\"I had breakfast with Avery, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Willow. I ate eggs, sausages, and bread.\"\n31621,2019/05/12,I ate chinese food for lunch.,I ate chinese food for lunch.\n31622,2019/05/12,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n31623,2019/05/12,\"I spent 46 talking to Layla, Kinsley on various topics in the late afternoon.\",\"I spent 46 talking to Layla, Kinsley on various topics in the late afternoon.\"\n31624,2019/05/12,I spent 39 talking to Avery on various topics in the morning.,I spent 39 talking to Avery on various topics in the morning.\n31625,2019/05/12,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n31626,2019/05/12,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n31627,2019/05/13,\"On 2019/05/13, I took Thomas on a date to a restaurant\",\"On 2019/05/13, I took Thomas on a date to a restaurant\"\n31628,2019/05/13,I did biking on 2019/05/13.,I did biking on 2019/05/13.\n31629,2019/05/13,\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate eggs, sausages, and bread.\"\n31630,2019/05/13,\"I had lunch with Eva, Lydia, Layla. I ate indian food.\",\"I had lunch with Eva, Lydia, Layla. I ate indian food.\"\n31631,2019/05/13,I ate chinese food for dinner.,I ate chinese food for dinner.\n31632,2019/05/13,\"I spent 40 talking to Nora, Lydia on various topics in the early afternoon.\",\"I spent 40 talking to Nora, Lydia on various topics in the early afternoon.\"\n31633,2019/05/13,\"I talked to Piper, Avery for 46 minutes in the late afternoon.\",\"I talked to Piper, Avery for 46 minutes in the late afternoon.\"\n31634,2019/05/13,\"I spent 7 talking to Kinsley, Nevaeh, Rylee, Layla on various topics in the early afternoon.\",\"I spent 7 talking to Kinsley, Nevaeh, Rylee, Layla on various topics in the early afternoon.\"\n31635,2019/05/13,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n31636,2019/05/13,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n31637,2019/05/14,I did weight lifting on 2019/05/14.,I did weight lifting on 2019/05/14.\n31638,2019/05/14,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n31639,2019/05/14,\"I had lunch with Willow, Jackson. I ate chinese food.\",\"I had lunch with Willow, Jackson. I ate chinese food.\"\n31640,2019/05/14,I ate tacos for dinner.,I ate tacos for dinner.\n31641,2019/05/14,\"I talked to Kinsley, Lydia, Rylee, Claire for 27 minutes during lunch hours.\",\"I talked to Kinsley, Lydia, Rylee, Claire for 27 minutes during lunch hours.\"\n31642,2019/05/14,\"I talked to Nora, Kinsley, Lydia for 17 minutes in the early afternoon.\",\"I talked to Nora, Kinsley, Lydia for 17 minutes in the early afternoon.\"\n31643,2019/05/14,\"I spent 15 talking to Olivia, Avery, Hazel, Piper on various topics in the early evening.\",\"I spent 15 talking to Olivia, Avery, Hazel, Piper on various topics in the early evening.\"\n31644,2019/05/14,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n31645,2019/05/14,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n31646,2019/05/15,\"On 2019/05/15, I took Zoey on a date to a coffee Shop\",\"On 2019/05/15, I took Zoey on a date to a coffee Shop\"\n31647,2019/05/15,I spent some time meditation on 2019/05/15.,I spent some time meditation on 2019/05/15.\n31648,2019/05/15,\"I went grocery shopping. I bought some apples, sports drinks, apple juice, pineapple juice, guava juice, and body lotion, paper towel, mouthwash, toothbrush\",\"I went grocery shopping. I bought some apples, sports drinks, apple juice, pineapple juice, guava juice, and body lotion, paper towel, mouthwash, toothbrush\"\n31649,2019/05/15,I did biking on 2019/05/15.,I did biking on 2019/05/15.\n31650,2019/05/15,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n31651,2019/05/15,I ate a burger for lunch.,I ate a burger for lunch.\n31652,2019/05/15,\"I had pasta for dinner with Andrew, Emily, Kayden, Carter\",\"I had pasta for dinner with Andrew, Emily, Kayden, Carter\"\n31653,2019/05/15,\"I spent 54 talking to Avery, Lydia, Hazel, Olivia on various topics late in the evening.\",\"I spent 54 talking to Avery, Lydia, Hazel, Olivia on various topics late in the evening.\"\n31654,2019/05/15,I talked to Layla for 49 minutes in the early afternoon.,I talked to Layla for 49 minutes in the early afternoon.\n31655,2019/05/15,I talked to Claire for 18 minutes in the late afternoon.,I talked to Claire for 18 minutes in the late afternoon.\n31656,2019/05/15,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n31657,2019/05/15,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n31658,2019/05/16,I did HIIT on 2019/05/16.,I did HIIT on 2019/05/16.\n31659,2019/05/16,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n31660,2019/05/16,I prepare sushi for lunch.,I prepare sushi for lunch.\n31661,2019/05/16,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n31662,2019/05/16,I spent 26 talking to Rylee on various topics late in the evening.,I spent 26 talking to Rylee on various topics late in the evening.\n31663,2019/05/16,\"I spent 10 talking to Claire, Lydia, Layla, Eva on various topics in the late afternoon.\",\"I spent 10 talking to Claire, Lydia, Layla, Eva on various topics in the late afternoon.\"\n31664,2019/05/16,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n31665,2019/05/16,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n31666,2019/05/17,\"I bought some mangos, cherres, pineapples, apricots, orange juice, shaving cream, mouthwash, mouth wash, toothpaste online.\",\"I bought some mangos, cherres, pineapples, apricots, orange juice, shaving cream, mouthwash, mouth wash, toothpaste online.\"\n31667,2019/05/17,\"I had toast and cheese for breakfast with Carter, Andrew, Kayden, Emily\",\"I had toast and cheese for breakfast with Carter, Andrew, Kayden, Emily\"\n31668,2019/05/17,I prepare a burger for lunch.,I prepare a burger for lunch.\n31669,2019/05/17,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n31670,2019/05/17,I talked to Kinsley for 51 minutes in the morning.,I talked to Kinsley for 51 minutes in the morning.\n31671,2019/05/17,\"I talked to Layla, Nevaeh for 9 minutes in the early evening.\",\"I talked to Layla, Nevaeh for 9 minutes in the early evening.\"\n31672,2019/05/17,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n31673,2019/05/17,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n31674,2019/05/18,I did weight lifting on 2019/05/18.,I did weight lifting on 2019/05/18.\n31675,2019/05/18,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n31676,2019/05/18,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n31677,2019/05/18,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n31678,2019/05/18,\"I talked to Piper, Claire, Nevaeh, Layla for 50 minutes in the early evening.\",\"I talked to Piper, Claire, Nevaeh, Layla for 50 minutes in the early evening.\"\n31679,2019/05/18,I talked to Nora for 9 minutes in the late afternoon.,I talked to Nora for 9 minutes in the late afternoon.\n31680,2019/05/18,\"I spent 44 talking to Claire, Piper, Piper on various topics in the morning.\",\"I spent 44 talking to Claire, Piper, Piper on various topics in the morning.\"\n31681,2019/05/18,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n31682,2019/05/18,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n31683,2019/05/19,I really enjoyed yoga on 2019/05/19,I really enjoyed yoga on 2019/05/19\n31684,2019/05/19,I did HIIT on 2019/05/19.,I did HIIT on 2019/05/19.\n31685,2019/05/19,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n31686,2019/05/19,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n31687,2019/05/19,I prepare indian food for dinner.,I prepare indian food for dinner.\n31688,2019/05/19,\"I spent 39 talking to Rylee, Eva, Piper, Nora on various topics in the late afternoon.\",\"I spent 39 talking to Rylee, Eva, Piper, Nora on various topics in the late afternoon.\"\n31689,2019/05/19,I talked to Lydia for 31 minutes in the early evening.,I talked to Lydia for 31 minutes in the early evening.\n31690,2019/05/19,I spent 25 talking to Nevaeh on various topics late in the evening.,I spent 25 talking to Nevaeh on various topics late in the evening.\n31691,2019/05/19,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n31692,2019/05/19,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n31693,2019/05/20,I went on a date with Anthony on 2019/05/20 at a park,I went on a date with Anthony on 2019/05/20 at a park\n31694,2019/05/20,I did HIIT on 2019/05/20.,I did HIIT on 2019/05/20.\n31695,2019/05/20,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n31696,2019/05/20,I ate indian food for lunch.,I ate indian food for lunch.\n31697,2019/05/20,I ate sushi for dinner.,I ate sushi for dinner.\n31698,2019/05/20,I spent 53 talking to Olivia on various topics in the early afternoon.,I spent 53 talking to Olivia on various topics in the early afternoon.\n31699,2019/05/20,I spent 31 talking to Claire on various topics in the morning.,I spent 31 talking to Claire on various topics in the morning.\n31700,2019/05/20,\"I spent 8 talking to Eva, Olivia, Piper on various topics during lunch hours.\",\"I spent 8 talking to Eva, Olivia, Piper on various topics during lunch hours.\"\n31701,2019/05/20,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n31702,2019/05/20,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n31703,2019/05/21,I did biking on 2019/05/21.,I did biking on 2019/05/21.\n31704,2019/05/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n31705,2019/05/21,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n31706,2019/05/21,I ate tacos for dinner.,I ate tacos for dinner.\n31707,2019/05/21,\"I spent 32 talking to Nevaeh, Hazel, Layla on various topics in the morning.\",\"I spent 32 talking to Nevaeh, Hazel, Layla on various topics in the morning.\"\n31708,2019/05/21,I spent 35 talking to Hazel on various topics in the late afternoon.,I spent 35 talking to Hazel on various topics in the late afternoon.\n31709,2019/05/21,I talked to Layla for 55 minutes in the morning.,I talked to Layla for 55 minutes in the morning.\n31710,2019/05/21,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n31711,2019/05/21,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n31712,2019/05/22,I did swimming on 2019/05/22.,I did swimming on 2019/05/22.\n31713,2019/05/22,\"I had breakfast with Eva, Claire, Rylee. I ate peanut-butter-jam.\",\"I had breakfast with Eva, Claire, Rylee. I ate peanut-butter-jam.\"\n31714,2019/05/22,I ate indian food for lunch.,I ate indian food for lunch.\n31715,2019/05/22,I ate tacos for dinner.,I ate tacos for dinner.\n31716,2019/05/22,\"I spent 41 talking to Piper, Olivia, Piper, Hazel on various topics during lunch hours.\",\"I spent 41 talking to Piper, Olivia, Piper, Hazel on various topics during lunch hours.\"\n31717,2019/05/22,I spent 43 talking to Nora on various topics in the early afternoon.,I spent 43 talking to Nora on various topics in the early afternoon.\n31718,2019/05/22,\"I talked to Olivia, Nora, Claire for 6 minutes in the early afternoon.\",\"I talked to Olivia, Nora, Claire for 6 minutes in the early afternoon.\"\n31719,2019/05/22,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n31720,2019/05/22,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n31721,2019/05/23,\"I went grocery shopping with Carter, Kayden. I bought some pineapples, orange juice, pineapple juice, mango juice, guava juice, and conditioner, paper towel, toothbrush\",\"I went grocery shopping with Carter, Kayden. I bought some pineapples, orange juice, pineapple juice, mango juice, guava juice, and conditioner, paper towel, toothbrush\"\n31722,2019/05/23,I did running on 2019/05/23.,I did running on 2019/05/23.\n31723,2019/05/23,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n31724,2019/05/23,I prepare sushi for lunch.,I prepare sushi for lunch.\n31725,2019/05/23,I ate indian food for dinner.,I ate indian food for dinner.\n31726,2019/05/23,\"I spent 43 talking to Piper, Olivia on various topics in the early afternoon.\",\"I spent 43 talking to Piper, Olivia on various topics in the early afternoon.\"\n31727,2019/05/23,I talked to Claire for 38 minutes late in the evening.,I talked to Claire for 38 minutes late in the evening.\n31728,2019/05/23,\"I talked to Hazel, Rylee, Piper, Avery for 23 minutes during lunch hours.\",\"I talked to Hazel, Rylee, Piper, Avery for 23 minutes during lunch hours.\"\n31729,2019/05/23,\"I spent 8 talking to Nora, Piper, Kinsley, Rylee on various topics during lunch hours.\",\"I spent 8 talking to Nora, Piper, Kinsley, Rylee on various topics during lunch hours.\"\n31730,2019/05/23,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n31731,2019/05/23,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n31732,2019/05/24,I did running on 2019/05/24.,I did running on 2019/05/24.\n31733,2019/05/24,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n31734,2019/05/24,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n31735,2019/05/24,I ate pasta for dinner.,I ate pasta for dinner.\n31736,2019/05/24,\"I spent 7 talking to Piper, Eva on various topics late in the evening.\",\"I spent 7 talking to Piper, Eva on various topics late in the evening.\"\n31737,2019/05/24,I spent 8 talking to Rylee on various topics in the early evening.,I spent 8 talking to Rylee on various topics in the early evening.\n31738,2019/05/24,I talked to Lydia for 7 minutes in the late afternoon.,I talked to Lydia for 7 minutes in the late afternoon.\n31739,2019/05/24,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n31740,2019/05/24,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n31741,2019/05/25,\"I bought some nectarines, mangos, pears, watermelons, tea, mineral water, guava juice, facial wash, mouthwash, shampoo online.\",\"I bought some nectarines, mangos, pears, watermelons, tea, mineral water, guava juice, facial wash, mouthwash, shampoo online.\"\n31742,2019/05/25,I did HIIT on 2019/05/25.,I did HIIT on 2019/05/25.\n31743,2019/05/25,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n31744,2019/05/25,I prepare tacos for lunch.,I prepare tacos for lunch.\n31745,2019/05/25,\"I had dinner with Avery, Jackson, Willow, Benjamin. I ate steak.\",\"I had dinner with Avery, Jackson, Willow, Benjamin. I ate steak.\"\n31746,2019/05/25,I spent 43 talking to Nora on various topics in the morning.,I spent 43 talking to Nora on various topics in the morning.\n31747,2019/05/25,I spent 50 talking to Rylee on various topics in the early evening.,I spent 50 talking to Rylee on various topics in the early evening.\n31748,2019/05/25,\"I spent 25 talking to Nora, Eva, Layla, Nevaeh on various topics in the late afternoon.\",\"I spent 25 talking to Nora, Eva, Layla, Nevaeh on various topics in the late afternoon.\"\n31749,2019/05/25,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n31750,2019/05/25,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n31751,2019/05/26,I did weight lifting on 2019/05/26.,I did weight lifting on 2019/05/26.\n31752,2019/05/26,\"I had breakfast with Benjamin, Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Benjamin, Avery. I ate eggs, sausages, and bread.\"\n31753,2019/05/26,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n31754,2019/05/26,I had indian food for dinner with Kayden,I had indian food for dinner with Kayden\n31755,2019/05/26,\"I talked to Rylee, Piper, Lydia, Claire for 51 minutes late in the evening.\",\"I talked to Rylee, Piper, Lydia, Claire for 51 minutes late in the evening.\"\n31756,2019/05/26,\"I spent 6 talking to Nevaeh, Lydia, Claire on various topics in the morning.\",\"I spent 6 talking to Nevaeh, Lydia, Claire on various topics in the morning.\"\n31757,2019/05/26,\"I talked to Piper, Lydia, Eva, Nevaeh for 15 minutes late in the evening.\",\"I talked to Piper, Lydia, Eva, Nevaeh for 15 minutes late in the evening.\"\n31758,2019/05/26,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n31759,2019/05/26,I spent 39 minutes watching a tv series on TV today.,I spent 39 minutes watching a tv series on TV today.\n31760,2019/05/27,I did hiking on 2019/05/27.,I did hiking on 2019/05/27.\n31761,2019/05/27,\"I had breakfast with Benjamin, Avery, Jackson. I ate pancakes.\",\"I had breakfast with Benjamin, Avery, Jackson. I ate pancakes.\"\n31762,2019/05/27,I ate chinese food for lunch.,I ate chinese food for lunch.\n31763,2019/05/27,\"I had sandwich for dinner with Emily, Carter, Andrew\",\"I had sandwich for dinner with Emily, Carter, Andrew\"\n31764,2019/05/27,\"I spent 22 talking to Nevaeh, Kinsley, Layla on various topics in the early evening.\",\"I spent 22 talking to Nevaeh, Kinsley, Layla on various topics in the early evening.\"\n31765,2019/05/27,\"I talked to Olivia, Nevaeh, Rylee, Layla for 26 minutes in the early afternoon.\",\"I talked to Olivia, Nevaeh, Rylee, Layla for 26 minutes in the early afternoon.\"\n31766,2019/05/27,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n31767,2019/05/27,I watched a movie for 17 minutes on TV today.,I watched a movie for 17 minutes on TV today.\n31768,2019/05/28,I did running on 2019/05/28.,I did running on 2019/05/28.\n31769,2019/05/28,\"I had eggs, sausages, and bread for breakfast with Andrew, Carter, Emily, Kayden\",\"I had eggs, sausages, and bread for breakfast with Andrew, Carter, Emily, Kayden\"\n31770,2019/05/28,I ate a burger for lunch.,I ate a burger for lunch.\n31771,2019/05/28,I had sandwich for dinner with Andrew,I had sandwich for dinner with Andrew\n31772,2019/05/28,\"I talked to Piper, Nora, Piper, Hazel for 36 minutes in the morning.\",\"I talked to Piper, Nora, Piper, Hazel for 36 minutes in the morning.\"\n31773,2019/05/28,\"I talked to Claire, Nora, Piper for 43 minutes in the early afternoon.\",\"I talked to Claire, Nora, Piper for 43 minutes in the early afternoon.\"\n31774,2019/05/28,\"I spent 10 talking to Layla, Hazel, Piper on various topics during lunch hours.\",\"I spent 10 talking to Layla, Hazel, Piper on various topics during lunch hours.\"\n31775,2019/05/28,\"I spent 46 talking to Nevaeh, Layla, Olivia on various topics in the late afternoon.\",\"I spent 46 talking to Nevaeh, Layla, Olivia on various topics in the late afternoon.\"\n31776,2019/05/28,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n31777,2019/05/28,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n31778,2019/05/29,I spent some time meditation on 2019/05/29.,I spent some time meditation on 2019/05/29.\n31779,2019/05/29,\"I went grocery shopping. I bought some pears, blueberries, apple juice, coffee, pineapple juice, and facial wash, mouth wash, toothbrush, body lotion\",\"I went grocery shopping. I bought some pears, blueberries, apple juice, coffee, pineapple juice, and facial wash, mouth wash, toothbrush, body lotion\"\n31780,2019/05/29,I did biking on 2019/05/29.,I did biking on 2019/05/29.\n31781,2019/05/29,\"I had breakfast with Andrew, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Carter. I ate peanut-butter-jam.\"\n31782,2019/05/29,I ate chinese food for lunch.,I ate chinese food for lunch.\n31783,2019/05/29,\"I had dinner with Emily, Kayden. I ate sandwich.\",\"I had dinner with Emily, Kayden. I ate sandwich.\"\n31784,2019/05/29,\"I spent 18 talking to Nevaeh, Hazel, Piper on various topics in the late afternoon.\",\"I spent 18 talking to Nevaeh, Hazel, Piper on various topics in the late afternoon.\"\n31785,2019/05/29,\"I talked to Rylee, Piper for 53 minutes in the late afternoon.\",\"I talked to Rylee, Piper for 53 minutes in the late afternoon.\"\n31786,2019/05/29,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n31787,2019/05/29,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n31788,2019/05/30,\"On 2019/05/30, I took Cameron on a date to a boba shop\",\"On 2019/05/30, I took Cameron on a date to a boba shop\"\n31789,2019/05/30,I did swimming on 2019/05/30.,I did swimming on 2019/05/30.\n31790,2019/05/30,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n31791,2019/05/30,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n31792,2019/05/30,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n31793,2019/05/30,\"I spent 38 talking to Avery, Lydia on various topics during lunch hours.\",\"I spent 38 talking to Avery, Lydia on various topics during lunch hours.\"\n31794,2019/05/30,\"I talked to Layla, Hazel for 23 minutes during lunch hours.\",\"I talked to Layla, Hazel for 23 minutes during lunch hours.\"\n31795,2019/05/30,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n31796,2019/05/30,I spent 17 minutes watching a tv series on TV today.,I spent 17 minutes watching a tv series on TV today.\n31797,2019/05/31,I did hiking on 2019/05/31.,I did hiking on 2019/05/31.\n31798,2019/05/31,\"I had pancakes for breakfast with Avery, Willow, Jackson, Benjamin\",\"I had pancakes for breakfast with Avery, Willow, Jackson, Benjamin\"\n31799,2019/05/31,I ate sandwich for lunch.,I ate sandwich for lunch.\n31800,2019/05/31,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n31801,2019/05/31,\"I spent 6 talking to Nevaeh, Olivia on various topics during lunch hours.\",\"I spent 6 talking to Nevaeh, Olivia on various topics during lunch hours.\"\n31802,2019/05/31,I talked to Hazel for 38 minutes in the early afternoon.,I talked to Hazel for 38 minutes in the early afternoon.\n31803,2019/05/31,\"I spent 24 talking to Lydia, Nora on various topics in the late afternoon.\",\"I spent 24 talking to Lydia, Nora on various topics in the late afternoon.\"\n31804,2019/05/31,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n31805,2019/05/31,I spent 27 minutes watching a documentary on TV today.,I spent 27 minutes watching a documentary on TV today.\n31806,2019/06/01,I did hiking on 2019/06/01.,I did hiking on 2019/06/01.\n31807,2019/06/01,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n31808,2019/06/01,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n31809,2019/06/01,\"I had chinese food for dinner with Jackson, Willow, Avery, Benjamin\",\"I had chinese food for dinner with Jackson, Willow, Avery, Benjamin\"\n31810,2019/06/01,I talked to Olivia for 24 minutes during lunch hours.,I talked to Olivia for 24 minutes during lunch hours.\n31811,2019/06/01,\"I talked to Rylee, Nevaeh for 14 minutes in the late afternoon.\",\"I talked to Rylee, Nevaeh for 14 minutes in the late afternoon.\"\n31812,2019/06/01,\"I talked to Piper, Lydia, Piper for 31 minutes in the late afternoon.\",\"I talked to Piper, Lydia, Piper for 31 minutes in the late afternoon.\"\n31813,2019/06/01,\"I spent 45 talking to Avery, Piper on various topics late in the evening.\",\"I spent 45 talking to Avery, Piper on various topics late in the evening.\"\n31814,2019/06/01,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n31815,2019/06/01,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n31816,2019/06/02,I did running on 2019/06/02.,I did running on 2019/06/02.\n31817,2019/06/02,\"I had oatmeal for breakfast with Hazel, Nora\",\"I had oatmeal for breakfast with Hazel, Nora\"\n31818,2019/06/02,I ate a burger for lunch.,I ate a burger for lunch.\n31819,2019/06/02,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n31820,2019/06/02,\"I spent 35 talking to Piper, Nevaeh, Eva, Kinsley on various topics in the early afternoon.\",\"I spent 35 talking to Piper, Nevaeh, Eva, Kinsley on various topics in the early afternoon.\"\n31821,2019/06/02,\"I talked to Layla, Hazel, Claire, Eva for 53 minutes in the morning.\",\"I talked to Layla, Hazel, Claire, Eva for 53 minutes in the morning.\"\n31822,2019/06/02,I talked to Olivia for 33 minutes late in the evening.,I talked to Olivia for 33 minutes late in the evening.\n31823,2019/06/02,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n31824,2019/06/02,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n31825,2019/06/03,\"On 2019/06/03, I took Matthew on a date to a park\",\"On 2019/06/03, I took Matthew on a date to a park\"\n31826,2019/06/03,\"I went grocery shopping. I bought some peaches, strawberries, oranges, watermelons, chocolate milk, mineral water, soda, mango juice, and shaving cream, body lotion\",\"I went grocery shopping. I bought some peaches, strawberries, oranges, watermelons, chocolate milk, mineral water, soda, mango juice, and shaving cream, body lotion\"\n31827,2019/06/03,I did running on 2019/06/03.,I did running on 2019/06/03.\n31828,2019/06/03,I ate cereals for breakfast.,I ate cereals for breakfast.\n31829,2019/06/03,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n31830,2019/06/03,\"I had dinner with Avery, Jackson, Benjamin. I ate sandwich.\",\"I had dinner with Avery, Jackson, Benjamin. I ate sandwich.\"\n31831,2019/06/03,\"I talked to Avery, Rylee, Nora, Claire for 27 minutes during lunch hours.\",\"I talked to Avery, Rylee, Nora, Claire for 27 minutes during lunch hours.\"\n31832,2019/06/03,\"I spent 46 talking to Eva, Piper, Lydia on various topics late in the evening.\",\"I spent 46 talking to Eva, Piper, Lydia on various topics late in the evening.\"\n31833,2019/06/03,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n31834,2019/06/03,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n31835,2019/06/04,\"I bought some pears, oranges, blackberries, raspberries, tea, chocolate milk, orange juice, sports drinks, facial wash, toothpaste from the grocery store. I saw Rylee, Lydia, Nora, Avery, Layla, Piper, Nevaeh at the grocery store.\",\"I bought some pears, oranges, blackberries, raspberries, tea, chocolate milk, orange juice, sports drinks, facial wash, toothpaste from the grocery store. I saw Rylee, Lydia, Nora, Avery, Layla, Piper, Nevaeh at the grocery store.\"\n31836,2019/06/04,I did biking on 2019/06/04.,I did biking on 2019/06/04.\n31837,2019/06/04,\"I had breakfast with Emily, Carter. I ate oatmeal.\",\"I had breakfast with Emily, Carter. I ate oatmeal.\"\n31838,2019/06/04,I had lunch with Carter. I ate chinese food.,I had lunch with Carter. I ate chinese food.\n31839,2019/06/04,I ate sandwich for dinner.,I ate sandwich for dinner.\n31840,2019/06/04,\"I spent 27 talking to Lydia, Piper, Claire on various topics in the morning.\",\"I spent 27 talking to Lydia, Piper, Claire on various topics in the morning.\"\n31841,2019/06/04,I talked to Hazel for 29 minutes in the early evening.,I talked to Hazel for 29 minutes in the early evening.\n31842,2019/06/04,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n31843,2019/06/04,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n31844,2019/06/05,\"I spent time gardening on 2019/06/05 with Nora, Rylee, Hazel.\",\"I spent time gardening on 2019/06/05 with Nora, Rylee, Hazel.\"\n31845,2019/06/05,I did hiking on 2019/06/05.,I did hiking on 2019/06/05.\n31846,2019/06/05,\"I had pancakes for breakfast with Kayden, Carter\",\"I had pancakes for breakfast with Kayden, Carter\"\n31847,2019/06/05,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n31848,2019/06/05,I ate indian food for dinner.,I ate indian food for dinner.\n31849,2019/06/05,\"I talked to Hazel, Avery, Nevaeh for 12 minutes in the morning.\",\"I talked to Hazel, Avery, Nevaeh for 12 minutes in the morning.\"\n31850,2019/06/05,\"I spent 46 talking to Rylee, Claire, Nevaeh on various topics in the early evening.\",\"I spent 46 talking to Rylee, Claire, Nevaeh on various topics in the early evening.\"\n31851,2019/06/05,I talked to Layla for 41 minutes during lunch hours.,I talked to Layla for 41 minutes during lunch hours.\n31852,2019/06/05,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n31853,2019/06/05,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n31854,2019/06/06,I did biking on 2019/06/06.,I did biking on 2019/06/06.\n31855,2019/06/06,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n31856,2019/06/06,\"I had indian food for lunch with Claire, Piper, Layla, Rylee, Nora, Kinsley, Hazel, Eva\",\"I had indian food for lunch with Claire, Piper, Layla, Rylee, Nora, Kinsley, Hazel, Eva\"\n31857,2019/06/06,I ate a burger for dinner.,I ate a burger for dinner.\n31858,2019/06/06,\"I talked to Layla, Piper for 44 minutes in the morning.\",\"I talked to Layla, Piper for 44 minutes in the morning.\"\n31859,2019/06/06,\"I talked to Olivia, Piper, Layla for 27 minutes in the late afternoon.\",\"I talked to Olivia, Piper, Layla for 27 minutes in the late afternoon.\"\n31860,2019/06/06,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n31861,2019/06/06,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n31862,2019/06/07,\"I bought some strawberries, mangos, guava juice, coffee, facial wash online.\",\"I bought some strawberries, mangos, guava juice, coffee, facial wash online.\"\n31863,2019/06/07,I did weight lifting on 2019/06/07.,I did weight lifting on 2019/06/07.\n31864,2019/06/07,\"I had breakfast with Kayden, Emily, Carter. I ate oatmeal.\",\"I had breakfast with Kayden, Emily, Carter. I ate oatmeal.\"\n31865,2019/06/07,\"I had lunch with Claire, Rylee, Piper, Lydia, Hazel, Kinsley, Eva, Avery, Layla, Nora. I ate sandwich.\",\"I had lunch with Claire, Rylee, Piper, Lydia, Hazel, Kinsley, Eva, Avery, Layla, Nora. I ate sandwich.\"\n31866,2019/06/07,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n31867,2019/06/07,\"I spent 29 talking to Claire, Nora on various topics during lunch hours.\",\"I spent 29 talking to Claire, Nora on various topics during lunch hours.\"\n31868,2019/06/07,\"I talked to Eva, Lydia for 26 minutes in the early afternoon.\",\"I talked to Eva, Lydia for 26 minutes in the early afternoon.\"\n31869,2019/06/07,\"I spent 15 talking to Lydia, Rylee, Kinsley, Nevaeh on various topics during lunch hours.\",\"I spent 15 talking to Lydia, Rylee, Kinsley, Nevaeh on various topics during lunch hours.\"\n31870,2019/06/07,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n31871,2019/06/07,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n31872,2019/06/08,I did HIIT on 2019/06/08.,I did HIIT on 2019/06/08.\n31873,2019/06/08,\"I had cereals for breakfast with Carter, Kayden\",\"I had cereals for breakfast with Carter, Kayden\"\n31874,2019/06/08,I had indian food for lunch with Kayden,I had indian food for lunch with Kayden\n31875,2019/06/08,I prepare tacos for dinner.,I prepare tacos for dinner.\n31876,2019/06/08,\"I spent 19 talking to Nora, Rylee on various topics in the early afternoon.\",\"I spent 19 talking to Nora, Rylee on various topics in the early afternoon.\"\n31877,2019/06/08,I talked to Claire for 18 minutes during lunch hours.,I talked to Claire for 18 minutes during lunch hours.\n31878,2019/06/08,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n31879,2019/06/08,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n31880,2019/06/09,I did hiking on 2019/06/09.,I did hiking on 2019/06/09.\n31881,2019/06/09,\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate eggs, sausages, and bread.\"\n31882,2019/06/09,I had lunch with Emily. I ate fish and chips.,I had lunch with Emily. I ate fish and chips.\n31883,2019/06/09,I prepare tacos for dinner.,I prepare tacos for dinner.\n31884,2019/06/09,I spent 11 talking to Olivia on various topics in the late afternoon.,I spent 11 talking to Olivia on various topics in the late afternoon.\n31885,2019/06/09,I talked to Claire for 41 minutes in the morning.,I talked to Claire for 41 minutes in the morning.\n31886,2019/06/09,\"I spent 26 talking to Lydia, Kinsley, Nevaeh, Layla on various topics in the late afternoon.\",\"I spent 26 talking to Lydia, Kinsley, Nevaeh, Layla on various topics in the late afternoon.\"\n31887,2019/06/09,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n31888,2019/06/09,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n31889,2019/06/10,\"On 2019/06/10, I took Joseph on a date to a park\",\"On 2019/06/10, I took Joseph on a date to a park\"\n31890,2019/06/10,I did weight lifting on 2019/06/10.,I did weight lifting on 2019/06/10.\n31891,2019/06/10,I had toast and cheese for breakfast with Carter,I had toast and cheese for breakfast with Carter\n31892,2019/06/10,\"I had lunch with Carter, Andrew, Emily, Kayden. I ate chinese food.\",\"I had lunch with Carter, Andrew, Emily, Kayden. I ate chinese food.\"\n31893,2019/06/10,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n31894,2019/06/10,\"I spent 16 talking to Claire, Piper on various topics in the early evening.\",\"I spent 16 talking to Claire, Piper on various topics in the early evening.\"\n31895,2019/06/10,\"I spent 52 talking to Piper, Olivia, Rylee on various topics in the late afternoon.\",\"I spent 52 talking to Piper, Olivia, Rylee on various topics in the late afternoon.\"\n31896,2019/06/10,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n31897,2019/06/10,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n31898,2019/06/11,I did swimming on 2019/06/11.,I did swimming on 2019/06/11.\n31899,2019/06/11,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n31900,2019/06/11,I prepare sushi for lunch.,I prepare sushi for lunch.\n31901,2019/06/11,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n31902,2019/06/11,\"I talked to Nevaeh, Layla for 54 minutes in the late afternoon.\",\"I talked to Nevaeh, Layla for 54 minutes in the late afternoon.\"\n31903,2019/06/11,I spent 32 talking to Nevaeh on various topics late in the evening.,I spent 32 talking to Nevaeh on various topics late in the evening.\n31904,2019/06/11,\"I talked to Olivia, Piper for 22 minutes late in the evening.\",\"I talked to Olivia, Piper for 22 minutes late in the evening.\"\n31905,2019/06/11,I talked to Lydia for 37 minutes in the early evening.,I talked to Lydia for 37 minutes in the early evening.\n31906,2019/06/11,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n31907,2019/06/11,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n31908,2019/06/12,my parents for their and I went for an annual vision checkup at the university hospital on 2019/06/12.,my parents for their and I went for an annual vision checkup at the university hospital on 2019/06/12.\n31909,2019/06/12,I did hiking on 2019/06/12.,I did hiking on 2019/06/12.\n31910,2019/06/12,\"I had eggs, sausages, and bread for breakfast with Kayden\",\"I had eggs, sausages, and bread for breakfast with Kayden\"\n31911,2019/06/12,\"I had lunch with Piper, Avery. I ate sandwich.\",\"I had lunch with Piper, Avery. I ate sandwich.\"\n31912,2019/06/12,I ate indian food for dinner.,I ate indian food for dinner.\n31913,2019/06/12,I spent 46 talking to Layla on various topics late in the evening.,I spent 46 talking to Layla on various topics late in the evening.\n31914,2019/06/12,I spent 41 talking to Hazel on various topics in the early evening.,I spent 41 talking to Hazel on various topics in the early evening.\n31915,2019/06/12,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n31916,2019/06/12,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n31917,2019/06/13,\"On 2019/06/13, I took Christophe on a date to a restaurant\",\"On 2019/06/13, I took Christophe on a date to a restaurant\"\n31918,2019/06/13,\"I bought some pears, apples, watermelons, blackberries, milk, guava juice, tea, conditioner, toilet paper, toothpaste from the grocery store. I saw Emily, Kayden, Carter, Andrew at the grocery store.\",\"I bought some pears, apples, watermelons, blackberries, milk, guava juice, tea, conditioner, toilet paper, toothpaste from the grocery store. I saw Emily, Kayden, Carter, Andrew at the grocery store.\"\n31919,2019/06/13,I did weight lifting on 2019/06/13.,I did weight lifting on 2019/06/13.\n31920,2019/06/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n31921,2019/06/13,\"I had fish and chips for lunch with Eva, Olivia\",\"I had fish and chips for lunch with Eva, Olivia\"\n31922,2019/06/13,I prepare pasta for dinner.,I prepare pasta for dinner.\n31923,2019/06/13,\"I spent 18 talking to Eva, Layla, Lydia, Kinsley on various topics in the late afternoon.\",\"I spent 18 talking to Eva, Layla, Lydia, Kinsley on various topics in the late afternoon.\"\n31924,2019/06/13,\"I talked to Avery, Hazel, Nora for 26 minutes late in the evening.\",\"I talked to Avery, Hazel, Nora for 26 minutes late in the evening.\"\n31925,2019/06/13,\"I spent 21 talking to Eva, Claire, Rylee on various topics during lunch hours.\",\"I spent 21 talking to Eva, Claire, Rylee on various topics during lunch hours.\"\n31926,2019/06/13,\"I spent 20 talking to Nevaeh, Rylee on various topics in the early afternoon.\",\"I spent 20 talking to Nevaeh, Rylee on various topics in the early afternoon.\"\n31927,2019/06/13,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n31928,2019/06/13,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n31929,2019/06/14,I did weight lifting on 2019/06/14.,I did weight lifting on 2019/06/14.\n31930,2019/06/14,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n31931,2019/06/14,\"I had lunch with Avery, Benjamin, Jackson. I ate indian food.\",\"I had lunch with Avery, Benjamin, Jackson. I ate indian food.\"\n31932,2019/06/14,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n31933,2019/06/14,I talked to Avery for 22 minutes during lunch hours.,I talked to Avery for 22 minutes during lunch hours.\n31934,2019/06/14,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n31935,2019/06/14,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n31936,2019/06/15,I did swimming on 2019/06/15.,I did swimming on 2019/06/15.\n31937,2019/06/15,\"I had breakfast with Willow, Jackson. I ate cereals.\",\"I had breakfast with Willow, Jackson. I ate cereals.\"\n31938,2019/06/15,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n31939,2019/06/15,\"I had sandwich for dinner with Kayden, Emily, Andrew\",\"I had sandwich for dinner with Kayden, Emily, Andrew\"\n31940,2019/06/15,I spent 8 talking to Nevaeh on various topics late in the evening.,I spent 8 talking to Nevaeh on various topics late in the evening.\n31941,2019/06/15,\"I talked to Nora, Hazel for 18 minutes in the early afternoon.\",\"I talked to Nora, Hazel for 18 minutes in the early afternoon.\"\n31942,2019/06/15,I spent 39 talking to Olivia on various topics late in the evening.,I spent 39 talking to Olivia on various topics late in the evening.\n31943,2019/06/15,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n31944,2019/06/15,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n31945,2019/06/16,I did running on 2019/06/16.,I did running on 2019/06/16.\n31946,2019/06/16,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n31947,2019/06/16,I had pasta for lunch with Andrew,I had pasta for lunch with Andrew\n31948,2019/06/16,\"I had pasta for dinner with Piper, Nora\",\"I had pasta for dinner with Piper, Nora\"\n31949,2019/06/16,I talked to Nora for 24 minutes in the morning.,I talked to Nora for 24 minutes in the morning.\n31950,2019/06/16,I spent 34 talking to Nora on various topics late in the evening.,I spent 34 talking to Nora on various topics late in the evening.\n31951,2019/06/16,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n31952,2019/06/16,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n31953,2019/06/17,I did biking on 2019/06/17.,I did biking on 2019/06/17.\n31954,2019/06/17,I had breakfast with Kayden. I ate oatmeal.,I had breakfast with Kayden. I ate oatmeal.\n31955,2019/06/17,\"I had indian food for lunch with Carter, Kayden, Emily\",\"I had indian food for lunch with Carter, Kayden, Emily\"\n31956,2019/06/17,I prepare steak for dinner.,I prepare steak for dinner.\n31957,2019/06/17,\"I talked to Nevaeh, Rylee, Piper, Olivia for 37 minutes during lunch hours.\",\"I talked to Nevaeh, Rylee, Piper, Olivia for 37 minutes during lunch hours.\"\n31958,2019/06/17,\"I talked to Piper, Rylee, Claire, Lydia for 53 minutes in the late afternoon.\",\"I talked to Piper, Rylee, Claire, Lydia for 53 minutes in the late afternoon.\"\n31959,2019/06/17,I spent 53 talking to Eva on various topics in the early evening.,I spent 53 talking to Eva on various topics in the early evening.\n31960,2019/06/17,I spent 28 talking to Lydia on various topics late in the evening.,I spent 28 talking to Lydia on various topics late in the evening.\n31961,2019/06/17,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n31962,2019/06/17,I watched news for 35 minutes on TV today.,I watched news for 35 minutes on TV today.\n31963,2019/06/18,I did weight lifting on 2019/06/18.,I did weight lifting on 2019/06/18.\n31964,2019/06/18,I had breakfast with Emily. I ate cereals.,I had breakfast with Emily. I ate cereals.\n31965,2019/06/18,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n31966,2019/06/18,\"I had tacos for dinner with Emily, Carter, Andrew, Kayden\",\"I had tacos for dinner with Emily, Carter, Andrew, Kayden\"\n31967,2019/06/18,\"I talked to Rylee, Olivia, Piper, Claire for 34 minutes in the late afternoon.\",\"I talked to Rylee, Olivia, Piper, Claire for 34 minutes in the late afternoon.\"\n31968,2019/06/18,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n31969,2019/06/18,I spent 27 minutes watching a documentary on TV today.,I spent 27 minutes watching a documentary on TV today.\n31970,2019/06/19,I went on a date with Zoey on 2019/06/19 at a boba shop,I went on a date with Zoey on 2019/06/19 at a boba shop\n31971,2019/06/19,I did biking on 2019/06/19.,I did biking on 2019/06/19.\n31972,2019/06/19,\"I had breakfast with Jackson, Benjamin, Willow. I ate oatmeal.\",\"I had breakfast with Jackson, Benjamin, Willow. I ate oatmeal.\"\n31973,2019/06/19,I ate tacos for lunch.,I ate tacos for lunch.\n31974,2019/06/19,\"I had chinese food for dinner with Eva, Piper, Olivia, Rylee, Piper, Nora\",\"I had chinese food for dinner with Eva, Piper, Olivia, Rylee, Piper, Nora\"\n31975,2019/06/19,I spent 33 talking to Olivia on various topics in the morning.,I spent 33 talking to Olivia on various topics in the morning.\n31976,2019/06/19,\"I talked to Nevaeh, Nora for 46 minutes in the late afternoon.\",\"I talked to Nevaeh, Nora for 46 minutes in the late afternoon.\"\n31977,2019/06/19,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n31978,2019/06/19,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n31979,2019/06/20,I did swimming on 2019/06/20.,I did swimming on 2019/06/20.\n31980,2019/06/20,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n31981,2019/06/20,\"I had lunch with Layla, Nora, Kinsley, Rylee, Piper, Hazel. I ate indian food.\",\"I had lunch with Layla, Nora, Kinsley, Rylee, Piper, Hazel. I ate indian food.\"\n31982,2019/06/20,\"I had sushi for dinner with Emily, Kayden, Carter, Andrew\",\"I had sushi for dinner with Emily, Kayden, Carter, Andrew\"\n31983,2019/06/20,\"I spent 29 talking to Piper, Eva, Kinsley, Hazel on various topics late in the evening.\",\"I spent 29 talking to Piper, Eva, Kinsley, Hazel on various topics late in the evening.\"\n31984,2019/06/20,I talked to Layla for 51 minutes during lunch hours.,I talked to Layla for 51 minutes during lunch hours.\n31985,2019/06/20,\"I spent 31 talking to Piper, Eva, Claire on various topics during lunch hours.\",\"I spent 31 talking to Piper, Eva, Claire on various topics during lunch hours.\"\n31986,2019/06/20,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n31987,2019/06/20,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n31988,2019/06/21,I did HIIT on 2019/06/21.,I did HIIT on 2019/06/21.\n31989,2019/06/21,\"I had eggs, sausages, and bread for breakfast with Benjamin, Willow, Jackson, Avery\",\"I had eggs, sausages, and bread for breakfast with Benjamin, Willow, Jackson, Avery\"\n31990,2019/06/21,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n31991,2019/06/21,\"I had fish and chips for dinner with Carter, Emily, Kayden, Andrew\",\"I had fish and chips for dinner with Carter, Emily, Kayden, Andrew\"\n31992,2019/06/21,\"I talked to Olivia, Eva, Layla for 39 minutes in the late afternoon.\",\"I talked to Olivia, Eva, Layla for 39 minutes in the late afternoon.\"\n31993,2019/06/21,\"I spent 48 talking to Piper, Layla on various topics in the early evening.\",\"I spent 48 talking to Piper, Layla on various topics in the early evening.\"\n31994,2019/06/21,\"I spent 35 talking to Piper, Olivia on various topics in the late afternoon.\",\"I spent 35 talking to Piper, Olivia on various topics in the late afternoon.\"\n31995,2019/06/21,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n31996,2019/06/21,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n31997,2019/06/22,\"I bought some mangos, apples, apple juice, soda, tea, conditioner, body lotion, shaving cream, shampoo online.\",\"I bought some mangos, apples, apple juice, soda, tea, conditioner, body lotion, shaving cream, shampoo online.\"\n31998,2019/06/22,I did swimming on 2019/06/22.,I did swimming on 2019/06/22.\n31999,2019/06/22,\"I had breakfast with Avery, Kinsley, Rylee. I ate toast and cheese.\",\"I had breakfast with Avery, Kinsley, Rylee. I ate toast and cheese.\"\n32000,2019/06/22,\"I had fish and chips for lunch with Layla, Kinsley, Nora, Rylee, Nevaeh, Hazel, Lydia, Piper, Claire, Eva, Piper, Avery\",\"I had fish and chips for lunch with Layla, Kinsley, Nora, Rylee, Nevaeh, Hazel, Lydia, Piper, Claire, Eva, Piper, Avery\"\n32001,2019/06/22,I prepare steak for dinner.,I prepare steak for dinner.\n32002,2019/06/22,I spent 43 talking to Kinsley on various topics in the early afternoon.,I spent 43 talking to Kinsley on various topics in the early afternoon.\n32003,2019/06/22,I spent 46 talking to Kinsley on various topics in the early evening.,I spent 46 talking to Kinsley on various topics in the early evening.\n32004,2019/06/22,\"I talked to Hazel, Nora, Lydia, Piper for 26 minutes late in the evening.\",\"I talked to Hazel, Nora, Lydia, Piper for 26 minutes late in the evening.\"\n32005,2019/06/22,\"I talked to Piper, Olivia, Nevaeh for 18 minutes in the late afternoon.\",\"I talked to Piper, Olivia, Nevaeh for 18 minutes in the late afternoon.\"\n32006,2019/06/22,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n32007,2019/06/22,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n32008,2019/06/23,I really enjoyed learning a language on 2019/06/23,I really enjoyed learning a language on 2019/06/23\n32009,2019/06/23,I did swimming on 2019/06/23.,I did swimming on 2019/06/23.\n32010,2019/06/23,\"I had breakfast with Kayden, Carter. I ate pancakes.\",\"I had breakfast with Kayden, Carter. I ate pancakes.\"\n32011,2019/06/23,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n32012,2019/06/23,\"I had sushi for dinner with Kayden, Andrew, Carter, Emily\",\"I had sushi for dinner with Kayden, Andrew, Carter, Emily\"\n32013,2019/06/23,\"I spent 50 talking to Claire, Olivia, Layla on various topics in the morning.\",\"I spent 50 talking to Claire, Olivia, Layla on various topics in the morning.\"\n32014,2019/06/23,\"I spent 9 talking to Hazel, Eva on various topics during lunch hours.\",\"I spent 9 talking to Hazel, Eva on various topics during lunch hours.\"\n32015,2019/06/23,I talked to Claire for 18 minutes in the early afternoon.,I talked to Claire for 18 minutes in the early afternoon.\n32016,2019/06/23,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n32017,2019/06/23,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n32018,2019/06/24,\"I had breakfast with Kayden, Andrew, Emily. I ate pancakes.\",\"I had breakfast with Kayden, Andrew, Emily. I ate pancakes.\"\n32019,2019/06/24,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n32020,2019/06/24,I ate indian food for dinner.,I ate indian food for dinner.\n32021,2019/06/24,\"I spent 12 talking to Olivia, Nora, Claire, Kinsley on various topics in the late afternoon.\",\"I spent 12 talking to Olivia, Nora, Claire, Kinsley on various topics in the late afternoon.\"\n32022,2019/06/24,\"I spent 9 talking to Piper, Layla, Olivia, Nora on various topics in the late afternoon.\",\"I spent 9 talking to Piper, Layla, Olivia, Nora on various topics in the late afternoon.\"\n32023,2019/06/24,\"I spent 46 talking to Nevaeh, Piper, Eva on various topics in the early evening.\",\"I spent 46 talking to Nevaeh, Piper, Eva on various topics in the early evening.\"\n32024,2019/06/24,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n32025,2019/06/24,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n32026,2019/06/25,I did weight lifting on 2019/06/25.,I did weight lifting on 2019/06/25.\n32027,2019/06/25,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n32028,2019/06/25,\"I had lunch with Carter, Andrew. I ate chinese food.\",\"I had lunch with Carter, Andrew. I ate chinese food.\"\n32029,2019/06/25,I prepare indian food for dinner.,I prepare indian food for dinner.\n32030,2019/06/25,\"I talked to Nevaeh, Avery, Piper for 20 minutes in the late afternoon.\",\"I talked to Nevaeh, Avery, Piper for 20 minutes in the late afternoon.\"\n32031,2019/06/25,\"I talked to Hazel, Eva for 48 minutes in the morning.\",\"I talked to Hazel, Eva for 48 minutes in the morning.\"\n32032,2019/06/25,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n32033,2019/06/25,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n32034,2019/06/26,I did biking on 2019/06/26.,I did biking on 2019/06/26.\n32035,2019/06/26,\"I had toast and cheese for breakfast with Lydia, Layla, Rylee, Avery, Nevaeh, Eva, Nora, Olivia, Claire, Piper, Piper, Kinsley\",\"I had toast and cheese for breakfast with Lydia, Layla, Rylee, Avery, Nevaeh, Eva, Nora, Olivia, Claire, Piper, Piper, Kinsley\"\n32036,2019/06/26,I ate sandwich for lunch.,I ate sandwich for lunch.\n32037,2019/06/26,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n32038,2019/06/26,\"I talked to Avery, Nevaeh, Piper, Piper for 50 minutes in the morning.\",\"I talked to Avery, Nevaeh, Piper, Piper for 50 minutes in the morning.\"\n32039,2019/06/26,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n32040,2019/06/26,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n32041,2019/06/27,I did weight lifting on 2019/06/27.,I did weight lifting on 2019/06/27.\n32042,2019/06/27,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n32043,2019/06/27,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n32044,2019/06/27,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n32045,2019/06/27,\"I spent 23 talking to Lydia, Eva, Piper, Rylee on various topics late in the evening.\",\"I spent 23 talking to Lydia, Eva, Piper, Rylee on various topics late in the evening.\"\n32046,2019/06/27,\"I spent 44 talking to Claire, Olivia on various topics in the early evening.\",\"I spent 44 talking to Claire, Olivia on various topics in the early evening.\"\n32047,2019/06/27,\"I spent 8 talking to Claire, Piper on various topics in the early afternoon.\",\"I spent 8 talking to Claire, Piper on various topics in the early afternoon.\"\n32048,2019/06/27,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n32049,2019/06/27,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n32050,2019/06/28,I really enjoyed gardening on 2019/06/28,I really enjoyed gardening on 2019/06/28\n32051,2019/06/28,I did HIIT on 2019/06/28.,I did HIIT on 2019/06/28.\n32052,2019/06/28,\"I had toast and cheese for breakfast with Avery, Benjamin\",\"I had toast and cheese for breakfast with Avery, Benjamin\"\n32053,2019/06/28,\"I had chinese food for lunch with Piper, Lydia, Avery, Rylee, Hazel, Layla, Piper, Claire\",\"I had chinese food for lunch with Piper, Lydia, Avery, Rylee, Hazel, Layla, Piper, Claire\"\n32054,2019/06/28,I had dinner with Benjamin. I ate a burger.,I had dinner with Benjamin. I ate a burger.\n32055,2019/06/28,\"I talked to Kinsley, Layla, Nora, Eva for 37 minutes in the late afternoon.\",\"I talked to Kinsley, Layla, Nora, Eva for 37 minutes in the late afternoon.\"\n32056,2019/06/28,\"I talked to Eva, Kinsley, Nora, Lydia for 38 minutes late in the evening.\",\"I talked to Eva, Kinsley, Nora, Lydia for 38 minutes late in the evening.\"\n32057,2019/06/28,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n32058,2019/06/28,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n32059,2019/06/29,\"I was cooking asian slaw on 2019/06/29 with Hazel, Piper, Rylee, Avery at my place\",\"I was cooking asian slaw on 2019/06/29 with Hazel, Piper, Rylee, Avery at my place\"\n32060,2019/06/29,I did HIIT on 2019/06/29.,I did HIIT on 2019/06/29.\n32061,2019/06/29,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n32062,2019/06/29,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n32063,2019/06/29,\"I had dinner with Rylee, Hazel, Kinsley, Layla, Claire, Piper, Nora, Piper, Eva. I ate indian food.\",\"I had dinner with Rylee, Hazel, Kinsley, Layla, Claire, Piper, Nora, Piper, Eva. I ate indian food.\"\n32064,2019/06/29,\"I talked to Avery, Nevaeh for 48 minutes late in the evening.\",\"I talked to Avery, Nevaeh for 48 minutes late in the evening.\"\n32065,2019/06/29,\"I spent 14 talking to Layla, Olivia, Nora, Hazel on various topics late in the evening.\",\"I spent 14 talking to Layla, Olivia, Nora, Hazel on various topics late in the evening.\"\n32066,2019/06/29,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n32067,2019/06/29,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n32068,2019/06/30,I did swimming on 2019/06/30.,I did swimming on 2019/06/30.\n32069,2019/06/30,\"I had breakfast with Olivia, Avery, Piper, Claire, Layla, Kinsley. I ate pancakes.\",\"I had breakfast with Olivia, Avery, Piper, Claire, Layla, Kinsley. I ate pancakes.\"\n32070,2019/06/30,I ate sushi for lunch.,I ate sushi for lunch.\n32071,2019/06/30,I prepare steak for dinner.,I prepare steak for dinner.\n32072,2019/06/30,I talked to Olivia for 27 minutes in the early evening.,I talked to Olivia for 27 minutes in the early evening.\n32073,2019/06/30,\"I talked to Rylee, Avery, Hazel for 51 minutes late in the evening.\",\"I talked to Rylee, Avery, Hazel for 51 minutes late in the evening.\"\n32074,2019/06/30,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n32075,2019/06/30,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n32076,2019/07/01,\"I really enjoyed baking chocolate chip cookie in a mug, lemon meringue cookies, birthday cupcakes with white wine buttercream on 2019/07/01 with Emily, Kayden, Andrew, Carter at my place\",\"I really enjoyed baking chocolate chip cookie in a mug, lemon meringue cookies, birthday cupcakes with white wine buttercream on 2019/07/01 with Emily, Kayden, Andrew, Carter at my place\"\n32077,2019/07/01,\"I bought some peaches, blackberries, clementines, pears, coffee, toothbrush online.\",\"I bought some peaches, blackberries, clementines, pears, coffee, toothbrush online.\"\n32078,2019/07/01,I did weight lifting on 2019/07/01.,I did weight lifting on 2019/07/01.\n32079,2019/07/01,I had breakfast with Willow. I ate oatmeal.,I had breakfast with Willow. I ate oatmeal.\n32080,2019/07/01,\"I had lunch with Carter, Emily. I ate tacos.\",\"I had lunch with Carter, Emily. I ate tacos.\"\n32081,2019/07/01,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n32082,2019/07/01,\"I talked to Nora, Piper, Hazel for 26 minutes in the late afternoon.\",\"I talked to Nora, Piper, Hazel for 26 minutes in the late afternoon.\"\n32083,2019/07/01,\"I spent 10 talking to Piper, Hazel, Piper, Eva on various topics during lunch hours.\",\"I spent 10 talking to Piper, Hazel, Piper, Eva on various topics during lunch hours.\"\n32084,2019/07/01,\"I talked to Piper, Kinsley for 22 minutes during lunch hours.\",\"I talked to Piper, Kinsley for 22 minutes during lunch hours.\"\n32085,2019/07/01,\"I talked to Avery, Rylee, Nora, Nevaeh for 8 minutes during lunch hours.\",\"I talked to Avery, Rylee, Nora, Nevaeh for 8 minutes during lunch hours.\"\n32086,2019/07/01,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n32087,2019/07/01,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n32088,2019/07/02,I went on a date with Grayson on 2019/07/02 at a coffee Shop,I went on a date with Grayson on 2019/07/02 at a coffee Shop\n32089,2019/07/02,\"I bought some guava, mineral water, chocolate milk, soda, mouth wash, conditioner, mouthwash online.\",\"I bought some guava, mineral water, chocolate milk, soda, mouth wash, conditioner, mouthwash online.\"\n32090,2019/07/02,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n32091,2019/07/02,I ate sushi for lunch.,I ate sushi for lunch.\n32092,2019/07/02,\"I had chinese food for dinner with Nevaeh, Avery, Olivia, Piper, Lydia, Piper\",\"I had chinese food for dinner with Nevaeh, Avery, Olivia, Piper, Lydia, Piper\"\n32093,2019/07/02,\"I spent 46 talking to Lydia, Olivia, Claire, Eva on various topics late in the evening.\",\"I spent 46 talking to Lydia, Olivia, Claire, Eva on various topics late in the evening.\"\n32094,2019/07/02,\"I talked to Hazel, Olivia, Claire, Kinsley for 49 minutes in the morning.\",\"I talked to Hazel, Olivia, Claire, Kinsley for 49 minutes in the morning.\"\n32095,2019/07/02,\"I talked to Claire, Hazel, Kinsley for 26 minutes in the early afternoon.\",\"I talked to Claire, Hazel, Kinsley for 26 minutes in the early afternoon.\"\n32096,2019/07/02,I talked to Kinsley for 48 minutes in the early afternoon.,I talked to Kinsley for 48 minutes in the early afternoon.\n32097,2019/07/02,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n32098,2019/07/02,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n32099,2019/07/03,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n32100,2019/07/03,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n32101,2019/07/03,I prepare tacos for dinner.,I prepare tacos for dinner.\n32102,2019/07/03,I talked to Rylee for 52 minutes during lunch hours.,I talked to Rylee for 52 minutes during lunch hours.\n32103,2019/07/03,\"I spent 45 talking to Piper, Hazel, Olivia, Avery on various topics in the morning.\",\"I spent 45 talking to Piper, Hazel, Olivia, Avery on various topics in the morning.\"\n32104,2019/07/03,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n32105,2019/07/03,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n32106,2019/07/04,I did weight lifting on 2019/07/04.,I did weight lifting on 2019/07/04.\n32107,2019/07/04,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n32108,2019/07/04,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n32109,2019/07/04,I ate a burger for dinner.,I ate a burger for dinner.\n32110,2019/07/04,\"I spent 24 talking to Eva, Claire, Kinsley, Rylee on various topics in the morning.\",\"I spent 24 talking to Eva, Claire, Kinsley, Rylee on various topics in the morning.\"\n32111,2019/07/04,\"I talked to Piper, Hazel, Piper, Claire for 53 minutes in the early afternoon.\",\"I talked to Piper, Hazel, Piper, Claire for 53 minutes in the early afternoon.\"\n32112,2019/07/04,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n32113,2019/07/04,I spent 8 minutes watching a movie on TV today.,I spent 8 minutes watching a movie on TV today.\n32114,2019/07/05,\"I went grocery shopping. I bought some blackberries, apples, guava, strawberries, soda, and toothpaste\",\"I went grocery shopping. I bought some blackberries, apples, guava, strawberries, soda, and toothpaste\"\n32115,2019/07/05,I did running on 2019/07/05.,I did running on 2019/07/05.\n32116,2019/07/05,\"I had cereals for breakfast with Andrew, Carter, Kayden, Emily\",\"I had cereals for breakfast with Andrew, Carter, Kayden, Emily\"\n32117,2019/07/05,\"I had chinese food for lunch with Emily, Kayden, Carter\",\"I had chinese food for lunch with Emily, Kayden, Carter\"\n32118,2019/07/05,\"I had dinner with Andrew, Emily. I ate a burger.\",\"I had dinner with Andrew, Emily. I ate a burger.\"\n32119,2019/07/05,\"I talked to Piper, Nora, Claire, Eva for 34 minutes in the morning.\",\"I talked to Piper, Nora, Claire, Eva for 34 minutes in the morning.\"\n32120,2019/07/05,\"I talked to Layla, Eva, Piper, Claire for 6 minutes in the late afternoon.\",\"I talked to Layla, Eva, Piper, Claire for 6 minutes in the late afternoon.\"\n32121,2019/07/05,\"I spent 12 talking to Nevaeh, Eva, Olivia, Kinsley on various topics in the early afternoon.\",\"I spent 12 talking to Nevaeh, Eva, Olivia, Kinsley on various topics in the early afternoon.\"\n32122,2019/07/05,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n32123,2019/07/05,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n32124,2019/07/06,\"On 2019/07/06, I took Ariana on a date to a restaurant\",\"On 2019/07/06, I took Ariana on a date to a restaurant\"\n32125,2019/07/06,I really enjoyed working out on 2019/07/06,I really enjoyed working out on 2019/07/06\n32126,2019/07/06,I did hiking on 2019/07/06.,I did hiking on 2019/07/06.\n32127,2019/07/06,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n32128,2019/07/06,I prepare sushi for lunch.,I prepare sushi for lunch.\n32129,2019/07/06,\"I had sandwich for dinner with Jackson, Avery, Willow, Benjamin\",\"I had sandwich for dinner with Jackson, Avery, Willow, Benjamin\"\n32130,2019/07/06,\"I talked to Nora, Kinsley, Olivia, Hazel for 14 minutes late in the evening.\",\"I talked to Nora, Kinsley, Olivia, Hazel for 14 minutes late in the evening.\"\n32131,2019/07/06,I talked to Nevaeh for 55 minutes late in the evening.,I talked to Nevaeh for 55 minutes late in the evening.\n32132,2019/07/06,\"I talked to Avery, Olivia, Claire, Rylee for 55 minutes during lunch hours.\",\"I talked to Avery, Olivia, Claire, Rylee for 55 minutes during lunch hours.\"\n32133,2019/07/06,\"I talked to Kinsley, Rylee, Hazel, Nora for 53 minutes during lunch hours.\",\"I talked to Kinsley, Rylee, Hazel, Nora for 53 minutes during lunch hours.\"\n32134,2019/07/06,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n32135,2019/07/06,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n32136,2019/07/07,I did biking on 2019/07/07.,I did biking on 2019/07/07.\n32137,2019/07/07,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n32138,2019/07/07,I prepare a burger for lunch.,I prepare a burger for lunch.\n32139,2019/07/07,\"I had dinner with Carter, Emily, Andrew. I ate steak.\",\"I had dinner with Carter, Emily, Andrew. I ate steak.\"\n32140,2019/07/07,\"I spent 37 talking to Claire, Layla on various topics in the late afternoon.\",\"I spent 37 talking to Claire, Layla on various topics in the late afternoon.\"\n32141,2019/07/07,\"I talked to Kinsley, Rylee for 41 minutes in the early afternoon.\",\"I talked to Kinsley, Rylee for 41 minutes in the early afternoon.\"\n32142,2019/07/07,\"I spent 11 talking to Nevaeh, Layla, Avery, Hazel on various topics in the late afternoon.\",\"I spent 11 talking to Nevaeh, Layla, Avery, Hazel on various topics in the late afternoon.\"\n32143,2019/07/07,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n32144,2019/07/07,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n32145,2019/07/08,I did hiking on 2019/07/08.,I did hiking on 2019/07/08.\n32146,2019/07/08,\"I had breakfast with Emily, Carter, Kayden, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Carter, Kayden, Andrew. I ate peanut-butter-jam.\"\n32147,2019/07/08,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n32148,2019/07/08,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n32149,2019/07/08,I spent 53 talking to Piper on various topics late in the evening.,I spent 53 talking to Piper on various topics late in the evening.\n32150,2019/07/08,\"I spent 37 talking to Lydia, Claire on various topics in the late afternoon.\",\"I spent 37 talking to Lydia, Claire on various topics in the late afternoon.\"\n32151,2019/07/08,I talked to Lydia for 29 minutes in the late afternoon.,I talked to Lydia for 29 minutes in the late afternoon.\n32152,2019/07/08,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n32153,2019/07/08,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n32154,2019/07/09,I did swimming on 2019/07/09.,I did swimming on 2019/07/09.\n32155,2019/07/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n32156,2019/07/09,\"I had pasta for lunch with Carter, Andrew\",\"I had pasta for lunch with Carter, Andrew\"\n32157,2019/07/09,\"I had dinner with Andrew, Carter. I ate tacos.\",\"I had dinner with Andrew, Carter. I ate tacos.\"\n32158,2019/07/09,\"I talked to Olivia, Eva for 23 minutes late in the evening.\",\"I talked to Olivia, Eva for 23 minutes late in the evening.\"\n32159,2019/07/09,\"I talked to Hazel, Layla for 35 minutes in the early evening.\",\"I talked to Hazel, Layla for 35 minutes in the early evening.\"\n32160,2019/07/09,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n32161,2019/07/09,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n32162,2019/07/10,I did HIIT on 2019/07/10.,I did HIIT on 2019/07/10.\n32163,2019/07/10,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n32164,2019/07/10,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n32165,2019/07/10,I ate chinese food for dinner.,I ate chinese food for dinner.\n32166,2019/07/10,I spent 41 talking to Layla on various topics late in the evening.,I spent 41 talking to Layla on various topics late in the evening.\n32167,2019/07/10,\"I talked to Hazel, Eva, Nora for 55 minutes in the morning.\",\"I talked to Hazel, Eva, Nora for 55 minutes in the morning.\"\n32168,2019/07/10,I talked to Eva for 20 minutes late in the evening.,I talked to Eva for 20 minutes late in the evening.\n32169,2019/07/10,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n32170,2019/07/10,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n32171,2019/07/11,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n32172,2019/07/11,\"I had lunch with Kayden, Andrew, Emily, Carter. I ate a burger.\",\"I had lunch with Kayden, Andrew, Emily, Carter. I ate a burger.\"\n32173,2019/07/11,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n32174,2019/07/11,I talked to Eva for 41 minutes during lunch hours.,I talked to Eva for 41 minutes during lunch hours.\n32175,2019/07/11,I talked to Kinsley for 5 minutes in the early afternoon.,I talked to Kinsley for 5 minutes in the early afternoon.\n32176,2019/07/11,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n32177,2019/07/11,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n32178,2019/07/12,I had breakfast with Emily. I ate oatmeal.,I had breakfast with Emily. I ate oatmeal.\n32179,2019/07/12,\"I had pasta for lunch with Carter, Kayden, Emily\",\"I had pasta for lunch with Carter, Kayden, Emily\"\n32180,2019/07/12,I prepare a burger for dinner.,I prepare a burger for dinner.\n32181,2019/07/12,I talked to Lydia for 5 minutes in the early afternoon.,I talked to Lydia for 5 minutes in the early afternoon.\n32182,2019/07/12,\"I talked to Eva, Claire, Hazel, Kinsley for 52 minutes in the early afternoon.\",\"I talked to Eva, Claire, Hazel, Kinsley for 52 minutes in the early afternoon.\"\n32183,2019/07/12,\"I spent 53 talking to Rylee, Piper on various topics in the late afternoon.\",\"I spent 53 talking to Rylee, Piper on various topics in the late afternoon.\"\n32184,2019/07/12,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n32185,2019/07/12,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n32186,2019/07/13,\"I went grocery shopping. I bought some peaches, cherres, strawberries, sports drinks, and mouth wash, toothbrush, conditioner\",\"I went grocery shopping. I bought some peaches, cherres, strawberries, sports drinks, and mouth wash, toothbrush, conditioner\"\n32187,2019/07/13,I did hiking on 2019/07/13.,I did hiking on 2019/07/13.\n32188,2019/07/13,\"I had pancakes for breakfast with Nevaeh, Layla, Nora, Piper, Piper, Hazel, Avery\",\"I had pancakes for breakfast with Nevaeh, Layla, Nora, Piper, Piper, Hazel, Avery\"\n32189,2019/07/13,\"I had sandwich for lunch with Olivia, Layla, Rylee, Hazel\",\"I had sandwich for lunch with Olivia, Layla, Rylee, Hazel\"\n32190,2019/07/13,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n32191,2019/07/13,\"I talked to Layla, Nora, Piper for 36 minutes in the late afternoon.\",\"I talked to Layla, Nora, Piper for 36 minutes in the late afternoon.\"\n32192,2019/07/13,\"I spent 48 talking to Nevaeh, Lydia on various topics in the early afternoon.\",\"I spent 48 talking to Nevaeh, Lydia on various topics in the early afternoon.\"\n32193,2019/07/13,I spent 32 talking to Olivia on various topics in the morning.,I spent 32 talking to Olivia on various topics in the morning.\n32194,2019/07/13,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n32195,2019/07/13,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n32196,2019/07/14,\"On 2019/07/14, I took Hazel on a date to a boba shop\",\"On 2019/07/14, I took Hazel on a date to a boba shop\"\n32197,2019/07/14,I did biking on 2019/07/14.,I did biking on 2019/07/14.\n32198,2019/07/14,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n32199,2019/07/14,I ate a burger for lunch.,I ate a burger for lunch.\n32200,2019/07/14,\"I had dinner with Piper, Nora, Avery, Rylee, Olivia, Piper, Nevaeh, Kinsley, Claire, Layla, Hazel, Lydia, Eva. I ate steak.\",\"I had dinner with Piper, Nora, Avery, Rylee, Olivia, Piper, Nevaeh, Kinsley, Claire, Layla, Hazel, Lydia, Eva. I ate steak.\"\n32201,2019/07/14,\"I talked to Avery, Layla, Kinsley, Hazel for 31 minutes late in the evening.\",\"I talked to Avery, Layla, Kinsley, Hazel for 31 minutes late in the evening.\"\n32202,2019/07/14,\"I talked to Avery, Rylee, Claire, Piper for 8 minutes in the early evening.\",\"I talked to Avery, Rylee, Claire, Piper for 8 minutes in the early evening.\"\n32203,2019/07/14,\"I talked to Eva, Nevaeh for 42 minutes in the early afternoon.\",\"I talked to Eva, Nevaeh for 42 minutes in the early afternoon.\"\n32204,2019/07/14,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n32205,2019/07/14,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n32206,2019/07/15,I did hiking on 2019/07/15.,I did hiking on 2019/07/15.\n32207,2019/07/15,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n32208,2019/07/15,I ate a burger for lunch.,I ate a burger for lunch.\n32209,2019/07/15,\"I had sushi for dinner with Kayden, Emily, Carter, Andrew\",\"I had sushi for dinner with Kayden, Emily, Carter, Andrew\"\n32210,2019/07/15,I spent 14 talking to Piper on various topics in the early evening.,I spent 14 talking to Piper on various topics in the early evening.\n32211,2019/07/15,\"I spent 6 talking to Avery, Rylee, Piper on various topics in the morning.\",\"I spent 6 talking to Avery, Rylee, Piper on various topics in the morning.\"\n32212,2019/07/15,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n32213,2019/07/15,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n32214,2019/07/16,I did biking on 2019/07/16.,I did biking on 2019/07/16.\n32215,2019/07/16,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n32216,2019/07/16,I prepare indian food for lunch.,I prepare indian food for lunch.\n32217,2019/07/16,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n32218,2019/07/16,\"I spent 8 talking to Nevaeh, Olivia, Hazel on various topics in the morning.\",\"I spent 8 talking to Nevaeh, Olivia, Hazel on various topics in the morning.\"\n32219,2019/07/16,\"I spent 35 talking to Layla, Nevaeh, Avery, Piper on various topics in the early evening.\",\"I spent 35 talking to Layla, Nevaeh, Avery, Piper on various topics in the early evening.\"\n32220,2019/07/16,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n32221,2019/07/16,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n32222,2019/07/17,\"On 2019/07/17, I took Colton on a date to a boba shop\",\"On 2019/07/17, I took Colton on a date to a boba shop\"\n32223,2019/07/17,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n32224,2019/07/17,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n32225,2019/07/17,I prepare tacos for dinner.,I prepare tacos for dinner.\n32226,2019/07/17,\"I talked to Nora, Kinsley, Avery for 25 minutes during lunch hours.\",\"I talked to Nora, Kinsley, Avery for 25 minutes during lunch hours.\"\n32227,2019/07/17,\"I talked to Olivia, Eva for 55 minutes in the morning.\",\"I talked to Olivia, Eva for 55 minutes in the morning.\"\n32228,2019/07/17,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n32229,2019/07/17,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n32230,2019/07/18,Kayden for his/her  and I went for an annual vision checkup at the university hospital on 2019/07/18.,Kayden for his/her  and I went for an annual vision checkup at the university hospital on 2019/07/18.\n32231,2019/07/18,I did running on 2019/07/18.,I did running on 2019/07/18.\n32232,2019/07/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n32233,2019/07/18,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n32234,2019/07/18,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n32235,2019/07/18,I spent 48 talking to Olivia on various topics late in the evening.,I spent 48 talking to Olivia on various topics late in the evening.\n32236,2019/07/18,I spent 24 talking to Layla on various topics in the early afternoon.,I spent 24 talking to Layla on various topics in the early afternoon.\n32237,2019/07/18,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n32238,2019/07/18,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n32239,2019/07/19,\"I bought some watermelons, pineapple juice, tea, toothbrush from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\",\"I bought some watermelons, pineapple juice, tea, toothbrush from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\"\n32240,2019/07/19,I did swimming on 2019/07/19.,I did swimming on 2019/07/19.\n32241,2019/07/19,\"I had eggs, sausages, and bread for breakfast with Kayden, Carter\",\"I had eggs, sausages, and bread for breakfast with Kayden, Carter\"\n32242,2019/07/19,I had tacos for lunch with Kayden,I had tacos for lunch with Kayden\n32243,2019/07/19,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n32244,2019/07/19,\"I spent 24 talking to Nevaeh, Layla on various topics in the late afternoon.\",\"I spent 24 talking to Nevaeh, Layla on various topics in the late afternoon.\"\n32245,2019/07/19,\"I spent 29 talking to Rylee, Claire, Eva on various topics during lunch hours.\",\"I spent 29 talking to Rylee, Claire, Eva on various topics during lunch hours.\"\n32246,2019/07/19,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n32247,2019/07/19,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n32248,2019/07/20,\"I had breakfast with Andrew, Emily. I ate cereals.\",\"I had breakfast with Andrew, Emily. I ate cereals.\"\n32249,2019/07/20,I had lunch with Willow. I ate steak.,I had lunch with Willow. I ate steak.\n32250,2019/07/20,\"I had dinner with Carter, Kayden, Emily. I ate tacos.\",\"I had dinner with Carter, Kayden, Emily. I ate tacos.\"\n32251,2019/07/20,\"I talked to Olivia, Layla, Nevaeh for 35 minutes during lunch hours.\",\"I talked to Olivia, Layla, Nevaeh for 35 minutes during lunch hours.\"\n32252,2019/07/20,\"I spent 9 talking to Nora, Piper, Piper on various topics in the early evening.\",\"I spent 9 talking to Nora, Piper, Piper on various topics in the early evening.\"\n32253,2019/07/20,\"I spent 14 talking to Hazel, Piper on various topics in the late afternoon.\",\"I spent 14 talking to Hazel, Piper on various topics in the late afternoon.\"\n32254,2019/07/20,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n32255,2019/07/20,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n32256,2019/07/21,I did HIIT on 2019/07/21.,I did HIIT on 2019/07/21.\n32257,2019/07/21,I had oatmeal for breakfast with Carter,I had oatmeal for breakfast with Carter\n32258,2019/07/21,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n32259,2019/07/21,I ate sushi for dinner.,I ate sushi for dinner.\n32260,2019/07/21,\"I spent 26 talking to Nevaeh, Piper, Layla on various topics in the late afternoon.\",\"I spent 26 talking to Nevaeh, Piper, Layla on various topics in the late afternoon.\"\n32261,2019/07/21,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n32262,2019/07/21,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n32263,2019/07/22,I went on a date with Parker on 2019/07/22 at a coffee Shop,I went on a date with Parker on 2019/07/22 at a coffee Shop\n32264,2019/07/22,I did weight lifting on 2019/07/22.,I did weight lifting on 2019/07/22.\n32265,2019/07/22,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n32266,2019/07/22,I prepare a burger for lunch.,I prepare a burger for lunch.\n32267,2019/07/22,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n32268,2019/07/22,\"I spent 45 talking to Nora, Piper on various topics in the late afternoon.\",\"I spent 45 talking to Nora, Piper on various topics in the late afternoon.\"\n32269,2019/07/22,\"I talked to Nora, Piper, Kinsley for 51 minutes in the late afternoon.\",\"I talked to Nora, Piper, Kinsley for 51 minutes in the late afternoon.\"\n32270,2019/07/22,\"I talked to Hazel, Piper, Eva, Piper for 47 minutes in the early afternoon.\",\"I talked to Hazel, Piper, Eva, Piper for 47 minutes in the early afternoon.\"\n32271,2019/07/22,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n32272,2019/07/22,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n32273,2019/07/23,\"I bought some guava, chocolate milk, mouth wash, shaving cream from the grocery store. I saw Willow, Avery at the grocery store.\",\"I bought some guava, chocolate milk, mouth wash, shaving cream from the grocery store. I saw Willow, Avery at the grocery store.\"\n32274,2019/07/23,I did swimming on 2019/07/23.,I did swimming on 2019/07/23.\n32275,2019/07/23,I ate cereals for breakfast.,I ate cereals for breakfast.\n32276,2019/07/23,I ate a burger for lunch.,I ate a burger for lunch.\n32277,2019/07/23,I had sandwich for dinner with Andrew,I had sandwich for dinner with Andrew\n32278,2019/07/23,\"I talked to Nora, Nevaeh, Avery, Olivia for 53 minutes in the early afternoon.\",\"I talked to Nora, Nevaeh, Avery, Olivia for 53 minutes in the early afternoon.\"\n32279,2019/07/23,\"I spent 36 talking to Nora, Lydia on various topics late in the evening.\",\"I spent 36 talking to Nora, Lydia on various topics late in the evening.\"\n32280,2019/07/23,I spent 25 talking to Piper on various topics in the early afternoon.,I spent 25 talking to Piper on various topics in the early afternoon.\n32281,2019/07/23,\"I talked to Rylee, Lydia for 24 minutes late in the evening.\",\"I talked to Rylee, Lydia for 24 minutes late in the evening.\"\n32282,2019/07/23,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n32283,2019/07/23,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n32284,2019/07/24,\"I had eggs, sausages, and bread for breakfast with Andrew, Carter, Emily, Kayden\",\"I had eggs, sausages, and bread for breakfast with Andrew, Carter, Emily, Kayden\"\n32285,2019/07/24,I ate chinese food for lunch.,I ate chinese food for lunch.\n32286,2019/07/24,I had dinner. I ate steak.,I had dinner. I ate steak.\n32287,2019/07/24,\"I talked to Piper, Layla, Olivia, Nevaeh for 52 minutes in the morning.\",\"I talked to Piper, Layla, Olivia, Nevaeh for 52 minutes in the morning.\"\n32288,2019/07/24,\"I talked to Hazel, Nora, Eva for 14 minutes in the early afternoon.\",\"I talked to Hazel, Nora, Eva for 14 minutes in the early afternoon.\"\n32289,2019/07/24,\"I talked to Eva, Olivia, Kinsley, Nevaeh for 25 minutes in the morning.\",\"I talked to Eva, Olivia, Kinsley, Nevaeh for 25 minutes in the morning.\"\n32290,2019/07/24,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n32291,2019/07/24,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n32292,2019/07/25,I did running on 2019/07/25.,I did running on 2019/07/25.\n32293,2019/07/25,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n32294,2019/07/25,\"I had a burger for lunch with Emily, Andrew, Kayden\",\"I had a burger for lunch with Emily, Andrew, Kayden\"\n32295,2019/07/25,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n32296,2019/07/25,\"I spent 25 talking to Hazel, Olivia, Piper, Claire on various topics in the early evening.\",\"I spent 25 talking to Hazel, Olivia, Piper, Claire on various topics in the early evening.\"\n32297,2019/07/25,\"I talked to Kinsley, Layla, Eva for 20 minutes in the early afternoon.\",\"I talked to Kinsley, Layla, Eva for 20 minutes in the early afternoon.\"\n32298,2019/07/25,\"I talked to Avery, Piper, Kinsley, Hazel for 36 minutes in the early evening.\",\"I talked to Avery, Piper, Kinsley, Hazel for 36 minutes in the early evening.\"\n32299,2019/07/25,\"I spent 15 talking to Piper, Eva on various topics during lunch hours.\",\"I spent 15 talking to Piper, Eva on various topics during lunch hours.\"\n32300,2019/07/25,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n32301,2019/07/25,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n32302,2019/07/26,I did HIIT on 2019/07/26.,I did HIIT on 2019/07/26.\n32303,2019/07/26,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n32304,2019/07/26,I ate a burger for lunch.,I ate a burger for lunch.\n32305,2019/07/26,I ate tacos for dinner.,I ate tacos for dinner.\n32306,2019/07/26,\"I talked to Nora, Rylee for 45 minutes during lunch hours.\",\"I talked to Nora, Rylee for 45 minutes during lunch hours.\"\n32307,2019/07/26,\"I spent 16 talking to Olivia, Avery on various topics during lunch hours.\",\"I spent 16 talking to Olivia, Avery on various topics during lunch hours.\"\n32308,2019/07/26,I spent 46 talking to Nevaeh on various topics late in the evening.,I spent 46 talking to Nevaeh on various topics late in the evening.\n32309,2019/07/26,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n32310,2019/07/26,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n32311,2019/07/27,\"I went grocery shopping with Willow, Avery, Benjamin. I bought some clementines, pineapples, apples, apricots, orange juice, and shaving cream, body lotion, conditioner, toilet paper\",\"I went grocery shopping with Willow, Avery, Benjamin. I bought some clementines, pineapples, apples, apricots, orange juice, and shaving cream, body lotion, conditioner, toilet paper\"\n32312,2019/07/27,I did HIIT on 2019/07/27.,I did HIIT on 2019/07/27.\n32313,2019/07/27,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n32314,2019/07/27,I prepare steak for lunch.,I prepare steak for lunch.\n32315,2019/07/27,I ate indian food for dinner.,I ate indian food for dinner.\n32316,2019/07/27,\"I talked to Lydia, Layla, Piper, Olivia for 38 minutes in the early evening.\",\"I talked to Lydia, Layla, Piper, Olivia for 38 minutes in the early evening.\"\n32317,2019/07/27,\"I talked to Piper, Layla, Rylee for 16 minutes during lunch hours.\",\"I talked to Piper, Layla, Rylee for 16 minutes during lunch hours.\"\n32318,2019/07/27,\"I talked to Claire, Nora for 54 minutes in the early evening.\",\"I talked to Claire, Nora for 54 minutes in the early evening.\"\n32319,2019/07/27,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n32320,2019/07/27,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n32321,2019/07/28,I did running on 2019/07/28.,I did running on 2019/07/28.\n32322,2019/07/28,\"I had breakfast with Benjamin, Jackson, Willow. I ate oatmeal.\",\"I had breakfast with Benjamin, Jackson, Willow. I ate oatmeal.\"\n32323,2019/07/28,\"I had indian food for lunch with Emily, Carter, Andrew, Kayden\",\"I had indian food for lunch with Emily, Carter, Andrew, Kayden\"\n32324,2019/07/28,I ate steak for dinner.,I ate steak for dinner.\n32325,2019/07/28,\"I talked to Lydia, Nevaeh, Piper for 49 minutes in the morning.\",\"I talked to Lydia, Nevaeh, Piper for 49 minutes in the morning.\"\n32326,2019/07/28,\"I spent 38 talking to Lydia, Hazel, Rylee, Claire on various topics late in the evening.\",\"I spent 38 talking to Lydia, Hazel, Rylee, Claire on various topics late in the evening.\"\n32327,2019/07/28,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n32328,2019/07/28,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n32329,2019/07/29,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n32330,2019/07/29,\"I had lunch with Nevaeh, Avery, Olivia, Piper, Hazel, Layla, Piper, Eva, Kinsley, Claire, Lydia. I ate indian food.\",\"I had lunch with Nevaeh, Avery, Olivia, Piper, Hazel, Layla, Piper, Eva, Kinsley, Claire, Lydia. I ate indian food.\"\n32331,2019/07/29,\"I had dinner with Kinsley, Layla, Claire, Nora, Rylee, Nevaeh, Olivia, Piper, Hazel, Avery. I ate a burger.\",\"I had dinner with Kinsley, Layla, Claire, Nora, Rylee, Nevaeh, Olivia, Piper, Hazel, Avery. I ate a burger.\"\n32332,2019/07/29,\"I spent 18 talking to Eva, Layla, Nora, Hazel on various topics in the early afternoon.\",\"I spent 18 talking to Eva, Layla, Nora, Hazel on various topics in the early afternoon.\"\n32333,2019/07/29,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n32334,2019/07/29,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n32335,2019/07/30,I did swimming on 2019/07/30.,I did swimming on 2019/07/30.\n32336,2019/07/30,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n32337,2019/07/30,\"I had a burger for lunch with Piper, Nevaeh, Hazel, Olivia, Avery, Rylee, Nora, Kinsley\",\"I had a burger for lunch with Piper, Nevaeh, Hazel, Olivia, Avery, Rylee, Nora, Kinsley\"\n32338,2019/07/30,\"I had sushi for dinner with Jackson, Benjamin, Avery\",\"I had sushi for dinner with Jackson, Benjamin, Avery\"\n32339,2019/07/30,\"I talked to Olivia, Claire for 40 minutes in the early afternoon.\",\"I talked to Olivia, Claire for 40 minutes in the early afternoon.\"\n32340,2019/07/30,I talked to Piper for 44 minutes during lunch hours.,I talked to Piper for 44 minutes during lunch hours.\n32341,2019/07/30,\"I spent 24 talking to Hazel, Eva on various topics in the morning.\",\"I spent 24 talking to Hazel, Eva on various topics in the morning.\"\n32342,2019/07/30,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n32343,2019/07/30,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n32344,2019/07/31,\"On 2019/07/31, I took Brooklyn on a date to a park\",\"On 2019/07/31, I took Brooklyn on a date to a park\"\n32345,2019/07/31,I did running on 2019/07/31.,I did running on 2019/07/31.\n32346,2019/07/31,\"I had cereals for breakfast with Benjamin, Willow\",\"I had cereals for breakfast with Benjamin, Willow\"\n32347,2019/07/31,I ate sushi for lunch.,I ate sushi for lunch.\n32348,2019/07/31,I had dinner with Carter. I ate indian food.,I had dinner with Carter. I ate indian food.\n32349,2019/07/31,\"I spent 53 talking to Nora, Claire, Lydia, Piper on various topics in the morning.\",\"I spent 53 talking to Nora, Claire, Lydia, Piper on various topics in the morning.\"\n32350,2019/07/31,\"I talked to Eva, Avery, Piper, Claire for 46 minutes in the early afternoon.\",\"I talked to Eva, Avery, Piper, Claire for 46 minutes in the early afternoon.\"\n32351,2019/07/31,\"I spent 19 talking to Nevaeh, Eva, Olivia, Nora on various topics during lunch hours.\",\"I spent 19 talking to Nevaeh, Eva, Olivia, Nora on various topics during lunch hours.\"\n32352,2019/07/31,\"I talked to Eva, Lydia, Layla, Kinsley for 36 minutes in the early evening.\",\"I talked to Eva, Lydia, Layla, Kinsley for 36 minutes in the early evening.\"\n32353,2019/07/31,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n32354,2019/07/31,I spent 38 minutes watching a movie on TV today.,I spent 38 minutes watching a movie on TV today.\n32355,2019/08/01,I did hiking on 2019/08/01.,I did hiking on 2019/08/01.\n32356,2019/08/01,\"I had oatmeal for breakfast with Kayden, Emily, Andrew, Carter\",\"I had oatmeal for breakfast with Kayden, Emily, Andrew, Carter\"\n32357,2019/08/01,\"I had lunch with Rylee, Kinsley, Nevaeh, Layla, Hazel, Lydia, Piper, Avery, Eva, Claire, Nora, Piper, Olivia. I ate a burger.\",\"I had lunch with Rylee, Kinsley, Nevaeh, Layla, Hazel, Lydia, Piper, Avery, Eva, Claire, Nora, Piper, Olivia. I ate a burger.\"\n32358,2019/08/01,I prepare sushi for dinner.,I prepare sushi for dinner.\n32359,2019/08/01,\"I spent 23 talking to Kinsley, Lydia, Avery, Eva on various topics late in the evening.\",\"I spent 23 talking to Kinsley, Lydia, Avery, Eva on various topics late in the evening.\"\n32360,2019/08/01,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n32361,2019/08/01,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n32362,2019/08/02,\"I bought some raspberries, pineapple juice, milk, paper towel, mouth wash, toothpaste, shampoo online.\",\"I bought some raspberries, pineapple juice, milk, paper towel, mouth wash, toothpaste, shampoo online.\"\n32363,2019/08/02,I did weight lifting on 2019/08/02.,I did weight lifting on 2019/08/02.\n32364,2019/08/02,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n32365,2019/08/02,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n32366,2019/08/02,I ate tacos for dinner.,I ate tacos for dinner.\n32367,2019/08/02,\"I spent 32 talking to Lydia, Rylee, Nora, Olivia on various topics in the early evening.\",\"I spent 32 talking to Lydia, Rylee, Nora, Olivia on various topics in the early evening.\"\n32368,2019/08/02,\"I talked to Avery, Nora for 5 minutes late in the evening.\",\"I talked to Avery, Nora for 5 minutes late in the evening.\"\n32369,2019/08/02,\"I spent 42 talking to Nevaeh, Claire, Layla on various topics in the early evening.\",\"I spent 42 talking to Nevaeh, Claire, Layla on various topics in the early evening.\"\n32370,2019/08/02,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n32371,2019/08/02,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n32372,2019/08/03,I did hiking on 2019/08/03.,I did hiking on 2019/08/03.\n32373,2019/08/03,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n32374,2019/08/03,\"I had sandwich for lunch with Carter, Emily, Kayden, Andrew\",\"I had sandwich for lunch with Carter, Emily, Kayden, Andrew\"\n32375,2019/08/03,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n32376,2019/08/03,\"I spent 55 talking to Nora, Kinsley, Lydia on various topics in the morning.\",\"I spent 55 talking to Nora, Kinsley, Lydia on various topics in the morning.\"\n32377,2019/08/03,\"I talked to Avery, Olivia, Kinsley, Lydia for 18 minutes in the late afternoon.\",\"I talked to Avery, Olivia, Kinsley, Lydia for 18 minutes in the late afternoon.\"\n32378,2019/08/03,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n32379,2019/08/03,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n32380,2019/08/04,\"On 2019/08/04, I took Alon on a date to a park\",\"On 2019/08/04, I took Alon on a date to a park\"\n32381,2019/08/04,I did weight lifting on 2019/08/04.,I did weight lifting on 2019/08/04.\n32382,2019/08/04,I ate cereals for breakfast.,I ate cereals for breakfast.\n32383,2019/08/04,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n32384,2019/08/04,\"I had tacos for dinner with Nevaeh, Avery, Nora, Claire, Kinsley, Olivia, Hazel\",\"I had tacos for dinner with Nevaeh, Avery, Nora, Claire, Kinsley, Olivia, Hazel\"\n32385,2019/08/04,\"I talked to Piper, Hazel, Olivia, Lydia for 55 minutes during lunch hours.\",\"I talked to Piper, Hazel, Olivia, Lydia for 55 minutes during lunch hours.\"\n32386,2019/08/04,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n32387,2019/08/04,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n32388,2019/08/05,I did biking on 2019/08/05.,I did biking on 2019/08/05.\n32389,2019/08/05,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n32390,2019/08/05,I ate pasta for lunch.,I ate pasta for lunch.\n32391,2019/08/05,\"I had dinner with Emily, Andrew. I ate indian food.\",\"I had dinner with Emily, Andrew. I ate indian food.\"\n32392,2019/08/05,I talked to Lydia for 16 minutes in the early afternoon.,I talked to Lydia for 16 minutes in the early afternoon.\n32393,2019/08/05,I spent 24 talking to Lydia on various topics in the late afternoon.,I spent 24 talking to Lydia on various topics in the late afternoon.\n32394,2019/08/05,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n32395,2019/08/05,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n32396,2019/08/06,\"I went grocery shopping with Nevaeh, Piper, Eva, Layla, Kinsley, Claire, Lydia, Rylee. I bought some blueberries, watermelons, milk, and conditioner, shampoo, body lotion, mouth wash\",\"I went grocery shopping with Nevaeh, Piper, Eva, Layla, Kinsley, Claire, Lydia, Rylee. I bought some blueberries, watermelons, milk, and conditioner, shampoo, body lotion, mouth wash\"\n32397,2019/08/06,I did HIIT on 2019/08/06.,I did HIIT on 2019/08/06.\n32398,2019/08/06,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n32399,2019/08/06,I ate indian food for lunch.,I ate indian food for lunch.\n32400,2019/08/06,I had steak for dinner with Carter,I had steak for dinner with Carter\n32401,2019/08/06,\"I talked to Lydia, Layla, Piper, Claire for 11 minutes in the early afternoon.\",\"I talked to Lydia, Layla, Piper, Claire for 11 minutes in the early afternoon.\"\n32402,2019/08/06,\"I talked to Eva, Piper, Avery for 34 minutes during lunch hours.\",\"I talked to Eva, Piper, Avery for 34 minutes during lunch hours.\"\n32403,2019/08/06,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n32404,2019/08/06,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n32405,2019/08/07,I did HIIT on 2019/08/07.,I did HIIT on 2019/08/07.\n32406,2019/08/07,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n32407,2019/08/07,I prepare tacos for lunch.,I prepare tacos for lunch.\n32408,2019/08/07,\"I had dinner with Carter, Andrew. I ate chinese food.\",\"I had dinner with Carter, Andrew. I ate chinese food.\"\n32409,2019/08/07,I talked to Nora for 47 minutes in the early evening.,I talked to Nora for 47 minutes in the early evening.\n32410,2019/08/07,\"I spent 31 talking to Avery, Claire, Hazel on various topics late in the evening.\",\"I spent 31 talking to Avery, Claire, Hazel on various topics late in the evening.\"\n32411,2019/08/07,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n32412,2019/08/07,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n32413,2019/08/08,\"On 2019/08/08, I took Lily on a date to a coffee Shop\",\"On 2019/08/08, I took Lily on a date to a coffee Shop\"\n32414,2019/08/08,I did hiking on 2019/08/08.,I did hiking on 2019/08/08.\n32415,2019/08/08,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n32416,2019/08/08,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n32417,2019/08/08,I prepare indian food for dinner.,I prepare indian food for dinner.\n32418,2019/08/08,\"I spent 48 talking to Piper, Olivia, Piper, Rylee on various topics in the morning.\",\"I spent 48 talking to Piper, Olivia, Piper, Rylee on various topics in the morning.\"\n32419,2019/08/08,I talked to Kinsley for 43 minutes in the early afternoon.,I talked to Kinsley for 43 minutes in the early afternoon.\n32420,2019/08/08,\"I spent 42 talking to Layla, Lydia, Piper, Nora on various topics in the early afternoon.\",\"I spent 42 talking to Layla, Lydia, Piper, Nora on various topics in the early afternoon.\"\n32421,2019/08/08,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n32422,2019/08/08,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n32423,2019/08/09,I did weight lifting on 2019/08/09.,I did weight lifting on 2019/08/09.\n32424,2019/08/09,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n32425,2019/08/09,\"I had lunch with Rylee, Lydia, Piper, Avery. I ate pasta.\",\"I had lunch with Rylee, Lydia, Piper, Avery. I ate pasta.\"\n32426,2019/08/09,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n32427,2019/08/09,\"I spent 40 talking to Kinsley, Claire, Piper, Eva on various topics in the late afternoon.\",\"I spent 40 talking to Kinsley, Claire, Piper, Eva on various topics in the late afternoon.\"\n32428,2019/08/09,\"I spent 19 talking to Eva, Lydia, Piper, Olivia on various topics in the early evening.\",\"I spent 19 talking to Eva, Lydia, Piper, Olivia on various topics in the early evening.\"\n32429,2019/08/09,I spent 31 talking to Piper on various topics in the morning.,I spent 31 talking to Piper on various topics in the morning.\n32430,2019/08/09,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n32431,2019/08/09,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n32432,2019/08/10,\"On 2019/08/10, I took Thomas on a date to a park\",\"On 2019/08/10, I took Thomas on a date to a park\"\n32433,2019/08/10,I did running on 2019/08/10.,I did running on 2019/08/10.\n32434,2019/08/10,I ate cereals for breakfast.,I ate cereals for breakfast.\n32435,2019/08/10,\"I had steak for lunch with Willow, Benjamin, Avery, Jackson\",\"I had steak for lunch with Willow, Benjamin, Avery, Jackson\"\n32436,2019/08/10,\"I had indian food for dinner with Carter, Kayden\",\"I had indian food for dinner with Carter, Kayden\"\n32437,2019/08/10,\"I spent 15 talking to Piper, Olivia, Avery, Piper on various topics in the late afternoon.\",\"I spent 15 talking to Piper, Olivia, Avery, Piper on various topics in the late afternoon.\"\n32438,2019/08/10,\"I talked to Kinsley, Layla, Eva for 18 minutes in the early afternoon.\",\"I talked to Kinsley, Layla, Eva for 18 minutes in the early afternoon.\"\n32439,2019/08/10,I talked to Eva for 19 minutes during lunch hours.,I talked to Eva for 19 minutes during lunch hours.\n32440,2019/08/10,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n32441,2019/08/10,I spent 15 minutes watching a documentary on TV today.,I spent 15 minutes watching a documentary on TV today.\n32442,2019/08/11,\"I bought some apples, watermelons, pears, blueberries, tea, apple juice, guava juice, shampoo, conditioner, toilet paper, facial wash from the grocery store. I saw Andrew, Kayden, Emily at the grocery store.\",\"I bought some apples, watermelons, pears, blueberries, tea, apple juice, guava juice, shampoo, conditioner, toilet paper, facial wash from the grocery store. I saw Andrew, Kayden, Emily at the grocery store.\"\n32443,2019/08/11,I did running on 2019/08/11.,I did running on 2019/08/11.\n32444,2019/08/11,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n32445,2019/08/11,\"I had lunch with Emily, Carter, Andrew, Kayden. I ate chinese food.\",\"I had lunch with Emily, Carter, Andrew, Kayden. I ate chinese food.\"\n32446,2019/08/11,\"I had steak for dinner with Hazel, Claire\",\"I had steak for dinner with Hazel, Claire\"\n32447,2019/08/11,\"I spent 9 talking to Nevaeh, Rylee, Hazel, Piper on various topics in the early afternoon.\",\"I spent 9 talking to Nevaeh, Rylee, Hazel, Piper on various topics in the early afternoon.\"\n32448,2019/08/11,\"I talked to Nevaeh, Nora, Olivia, Claire for 42 minutes in the early afternoon.\",\"I talked to Nevaeh, Nora, Olivia, Claire for 42 minutes in the early afternoon.\"\n32449,2019/08/11,\"I talked to Rylee, Lydia, Eva for 5 minutes in the late afternoon.\",\"I talked to Rylee, Lydia, Eva for 5 minutes in the late afternoon.\"\n32450,2019/08/11,I spent 13 talking to Piper on various topics during lunch hours.,I spent 13 talking to Piper on various topics during lunch hours.\n32451,2019/08/11,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n32452,2019/08/11,I watched a movie for 17 minutes on TV today.,I watched a movie for 17 minutes on TV today.\n32453,2019/08/12,\"I spent time gardening on 2019/08/12 with Avery, Jackson.\",\"I spent time gardening on 2019/08/12 with Avery, Jackson.\"\n32454,2019/08/12,I did swimming on 2019/08/12.,I did swimming on 2019/08/12.\n32455,2019/08/12,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n32456,2019/08/12,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n32457,2019/08/12,\"I had tacos for dinner with Emily, Carter, Kayden, Andrew\",\"I had tacos for dinner with Emily, Carter, Kayden, Andrew\"\n32458,2019/08/12,I talked to Nevaeh for 17 minutes during lunch hours.,I talked to Nevaeh for 17 minutes during lunch hours.\n32459,2019/08/12,\"I spent 23 talking to Nora, Piper, Claire, Layla on various topics in the late afternoon.\",\"I spent 23 talking to Nora, Piper, Claire, Layla on various topics in the late afternoon.\"\n32460,2019/08/12,\"I talked to Piper, Eva, Olivia for 7 minutes in the morning.\",\"I talked to Piper, Eva, Olivia for 7 minutes in the morning.\"\n32461,2019/08/12,\"I talked to Layla, Rylee for 36 minutes in the morning.\",\"I talked to Layla, Rylee for 36 minutes in the morning.\"\n32462,2019/08/12,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n32463,2019/08/12,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n32464,2019/08/13,\"I spent time learning a language on 2019/08/13 with Benjamin, Willow.\",\"I spent time learning a language on 2019/08/13 with Benjamin, Willow.\"\n32465,2019/08/13,I did swimming on 2019/08/13.,I did swimming on 2019/08/13.\n32466,2019/08/13,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n32467,2019/08/13,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n32468,2019/08/13,\"I had fish and chips for dinner with Lydia, Olivia, Hazel, Rylee, Eva, Layla, Kinsley\",\"I had fish and chips for dinner with Lydia, Olivia, Hazel, Rylee, Eva, Layla, Kinsley\"\n32469,2019/08/13,I talked to Kinsley for 50 minutes in the early evening.,I talked to Kinsley for 50 minutes in the early evening.\n32470,2019/08/13,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n32471,2019/08/13,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n32472,2019/08/14,I did running on 2019/08/14.,I did running on 2019/08/14.\n32473,2019/08/14,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n32474,2019/08/14,I had chinese food for lunch with Avery,I had chinese food for lunch with Avery\n32475,2019/08/14,\"I had indian food for dinner with Emily, Andrew, Kayden\",\"I had indian food for dinner with Emily, Andrew, Kayden\"\n32476,2019/08/14,\"I spent 13 talking to Avery, Hazel, Piper, Nevaeh on various topics in the morning.\",\"I spent 13 talking to Avery, Hazel, Piper, Nevaeh on various topics in the morning.\"\n32477,2019/08/14,I spent 5 talking to Hazel on various topics in the late afternoon.,I spent 5 talking to Hazel on various topics in the late afternoon.\n32478,2019/08/14,\"I spent 55 talking to Avery, Piper on various topics during lunch hours.\",\"I spent 55 talking to Avery, Piper on various topics during lunch hours.\"\n32479,2019/08/14,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n32480,2019/08/14,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n32481,2019/08/15,I did biking on 2019/08/15.,I did biking on 2019/08/15.\n32482,2019/08/15,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n32483,2019/08/15,I ate tacos for lunch.,I ate tacos for lunch.\n32484,2019/08/15,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n32485,2019/08/15,\"I talked to Olivia, Hazel, Lydia, Claire for 45 minutes in the early afternoon.\",\"I talked to Olivia, Hazel, Lydia, Claire for 45 minutes in the early afternoon.\"\n32486,2019/08/15,\"I talked to Piper, Eva for 35 minutes in the late afternoon.\",\"I talked to Piper, Eva for 35 minutes in the late afternoon.\"\n32487,2019/08/15,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n32488,2019/08/15,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n32489,2019/08/16,\"I went grocery shopping. I bought some mangos, sports drinks, mango juice, chocolate milk, and body lotion, shaving cream, toothbrush\",\"I went grocery shopping. I bought some mangos, sports drinks, mango juice, chocolate milk, and body lotion, shaving cream, toothbrush\"\n32490,2019/08/16,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n32491,2019/08/16,\"I had lunch with Carter, Emily. I ate pasta.\",\"I had lunch with Carter, Emily. I ate pasta.\"\n32492,2019/08/16,\"I had dinner with Carter, Emily, Andrew. I ate indian food.\",\"I had dinner with Carter, Emily, Andrew. I ate indian food.\"\n32493,2019/08/16,I talked to Layla for 22 minutes late in the evening.,I talked to Layla for 22 minutes late in the evening.\n32494,2019/08/16,\"I talked to Kinsley, Layla, Nora for 22 minutes in the morning.\",\"I talked to Kinsley, Layla, Nora for 22 minutes in the morning.\"\n32495,2019/08/16,I spent 40 talking to Claire on various topics in the early evening.,I spent 40 talking to Claire on various topics in the early evening.\n32496,2019/08/16,I talked to Claire for 27 minutes in the early afternoon.,I talked to Claire for 27 minutes in the early afternoon.\n32497,2019/08/16,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n32498,2019/08/16,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n32499,2019/08/17,I spent some time working out on 2019/08/17.,I spent some time working out on 2019/08/17.\n32500,2019/08/17,I did weight lifting on 2019/08/17.,I did weight lifting on 2019/08/17.\n32501,2019/08/17,\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin, Jackson\",\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin, Jackson\"\n32502,2019/08/17,I prepare tacos for lunch.,I prepare tacos for lunch.\n32503,2019/08/17,\"I had dinner with Emily, Andrew, Carter, Kayden. I ate steak.\",\"I had dinner with Emily, Andrew, Carter, Kayden. I ate steak.\"\n32504,2019/08/17,\"I talked to Avery, Piper for 5 minutes during lunch hours.\",\"I talked to Avery, Piper for 5 minutes during lunch hours.\"\n32505,2019/08/17,\"I talked to Olivia, Nora for 37 minutes in the early evening.\",\"I talked to Olivia, Nora for 37 minutes in the early evening.\"\n32506,2019/08/17,\"I talked to Hazel, Nora for 27 minutes late in the evening.\",\"I talked to Hazel, Nora for 27 minutes late in the evening.\"\n32507,2019/08/17,\"I talked to Piper, Kinsley for 32 minutes in the late afternoon.\",\"I talked to Piper, Kinsley for 32 minutes in the late afternoon.\"\n32508,2019/08/17,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n32509,2019/08/17,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n32510,2019/08/18,I did hiking on 2019/08/18.,I did hiking on 2019/08/18.\n32511,2019/08/18,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n32512,2019/08/18,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n32513,2019/08/18,\"I had fish and chips for dinner with Kayden, Emily, Carter, Andrew\",\"I had fish and chips for dinner with Kayden, Emily, Carter, Andrew\"\n32514,2019/08/18,I talked to Hazel for 17 minutes in the morning.,I talked to Hazel for 17 minutes in the morning.\n32515,2019/08/18,I talked to Kinsley for 7 minutes in the morning.,I talked to Kinsley for 7 minutes in the morning.\n32516,2019/08/18,\"I spent 33 talking to Claire, Eva, Hazel on various topics in the late afternoon.\",\"I spent 33 talking to Claire, Eva, Hazel on various topics in the late afternoon.\"\n32517,2019/08/18,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n32518,2019/08/18,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n32519,2019/08/19,I did biking on 2019/08/19.,I did biking on 2019/08/19.\n32520,2019/08/19,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n32521,2019/08/19,\"I had lunch with Kayden, Emily. I ate pasta.\",\"I had lunch with Kayden, Emily. I ate pasta.\"\n32522,2019/08/19,\"I had dinner with Avery, Willow, Jackson, Benjamin. I ate indian food.\",\"I had dinner with Avery, Willow, Jackson, Benjamin. I ate indian food.\"\n32523,2019/08/19,I spent 24 talking to Claire on various topics during lunch hours.,I spent 24 talking to Claire on various topics during lunch hours.\n32524,2019/08/19,\"I talked to Nora, Claire for 51 minutes in the early evening.\",\"I talked to Nora, Claire for 51 minutes in the early evening.\"\n32525,2019/08/19,\"I spent 48 talking to Avery, Layla, Lydia on various topics in the late afternoon.\",\"I spent 48 talking to Avery, Layla, Lydia on various topics in the late afternoon.\"\n32526,2019/08/19,I talked to Piper for 47 minutes in the early afternoon.,I talked to Piper for 47 minutes in the early afternoon.\n32527,2019/08/19,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n32528,2019/08/19,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n32529,2019/08/20,\"I went grocery shopping. I bought some mangos, soda, and toothpaste, body lotion, facial wash\",\"I went grocery shopping. I bought some mangos, soda, and toothpaste, body lotion, facial wash\"\n32530,2019/08/20,I did HIIT on 2019/08/20.,I did HIIT on 2019/08/20.\n32531,2019/08/20,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n32532,2019/08/20,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n32533,2019/08/20,I ate steak for dinner.,I ate steak for dinner.\n32534,2019/08/20,\"I spent 15 talking to Piper, Olivia, Nevaeh on various topics in the early evening.\",\"I spent 15 talking to Piper, Olivia, Nevaeh on various topics in the early evening.\"\n32535,2019/08/20,\"I spent 46 talking to Claire, Kinsley on various topics in the morning.\",\"I spent 46 talking to Claire, Kinsley on various topics in the morning.\"\n32536,2019/08/20,\"I talked to Nora, Piper for 40 minutes in the late afternoon.\",\"I talked to Nora, Piper for 40 minutes in the late afternoon.\"\n32537,2019/08/20,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n32538,2019/08/20,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n32539,2019/08/21,\"I was baking giant cinnamon roll, carrot cake, chocolate-chip mug brownie on 2019/08/21 with Carter, Emily at my place\",\"I was baking giant cinnamon roll, carrot cake, chocolate-chip mug brownie on 2019/08/21 with Carter, Emily at my place\"\n32540,2019/08/21,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n32541,2019/08/21,I prepare indian food for lunch.,I prepare indian food for lunch.\n32542,2019/08/21,\"I had dinner with Kayden, Emily, Andrew. I ate a burger.\",\"I had dinner with Kayden, Emily, Andrew. I ate a burger.\"\n32543,2019/08/21,\"I spent 46 talking to Kinsley, Lydia, Olivia on various topics during lunch hours.\",\"I spent 46 talking to Kinsley, Lydia, Olivia on various topics during lunch hours.\"\n32544,2019/08/21,I spent 38 talking to Rylee on various topics in the morning.,I spent 38 talking to Rylee on various topics in the morning.\n32545,2019/08/21,\"I spent 28 talking to Hazel, Nevaeh, Layla, Kinsley on various topics during lunch hours.\",\"I spent 28 talking to Hazel, Nevaeh, Layla, Kinsley on various topics during lunch hours.\"\n32546,2019/08/21,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n32547,2019/08/21,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n32548,2019/08/22,I did swimming on 2019/08/22.,I did swimming on 2019/08/22.\n32549,2019/08/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n32550,2019/08/22,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n32551,2019/08/22,\"I had fish and chips for dinner with Avery, Benjamin\",\"I had fish and chips for dinner with Avery, Benjamin\"\n32552,2019/08/22,I talked to Kinsley for 32 minutes in the early evening.,I talked to Kinsley for 32 minutes in the early evening.\n32553,2019/08/22,\"I spent 8 talking to Layla, Nevaeh, Piper, Nora on various topics during lunch hours.\",\"I spent 8 talking to Layla, Nevaeh, Piper, Nora on various topics during lunch hours.\"\n32554,2019/08/22,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n32555,2019/08/22,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n32556,2019/08/23,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n32557,2019/08/23,I ate indian food for lunch.,I ate indian food for lunch.\n32558,2019/08/23,I ate chinese food for dinner.,I ate chinese food for dinner.\n32559,2019/08/23,I talked to Layla for 26 minutes in the early afternoon.,I talked to Layla for 26 minutes in the early afternoon.\n32560,2019/08/23,\"I talked to Piper, Nora, Nevaeh for 31 minutes in the early afternoon.\",\"I talked to Piper, Nora, Nevaeh for 31 minutes in the early afternoon.\"\n32561,2019/08/23,\"I talked to Nora, Piper, Rylee for 42 minutes late in the evening.\",\"I talked to Nora, Piper, Rylee for 42 minutes late in the evening.\"\n32562,2019/08/23,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n32563,2019/08/23,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n32564,2019/08/24,\"I bought some oranges, nectarines, strawberries, peaches, mineral water, apple juice, body lotion, shaving cream from the grocery store. I saw Layla, Nora, Nevaeh, Olivia, Claire, Avery at the grocery store.\",\"I bought some oranges, nectarines, strawberries, peaches, mineral water, apple juice, body lotion, shaving cream from the grocery store. I saw Layla, Nora, Nevaeh, Olivia, Claire, Avery at the grocery store.\"\n32565,2019/08/24,I did biking on 2019/08/24.,I did biking on 2019/08/24.\n32566,2019/08/24,\"I had peanut-butter-jam for breakfast with Layla, Kinsley, Piper, Olivia, Rylee, Piper, Nora, Lydia, Eva, Hazel\",\"I had peanut-butter-jam for breakfast with Layla, Kinsley, Piper, Olivia, Rylee, Piper, Nora, Lydia, Eva, Hazel\"\n32567,2019/08/24,I ate pasta for lunch.,I ate pasta for lunch.\n32568,2019/08/24,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n32569,2019/08/24,\"I spent 14 talking to Avery, Nevaeh, Kinsley on various topics during lunch hours.\",\"I spent 14 talking to Avery, Nevaeh, Kinsley on various topics during lunch hours.\"\n32570,2019/08/24,\"I talked to Claire, Rylee, Olivia for 12 minutes in the late afternoon.\",\"I talked to Claire, Rylee, Olivia for 12 minutes in the late afternoon.\"\n32571,2019/08/24,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n32572,2019/08/24,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n32573,2019/08/25,I had breakfast with Andrew. I ate pancakes.,I had breakfast with Andrew. I ate pancakes.\n32574,2019/08/25,I prepare indian food for lunch.,I prepare indian food for lunch.\n32575,2019/08/25,I ate sandwich for dinner.,I ate sandwich for dinner.\n32576,2019/08/25,I talked to Layla for 14 minutes late in the evening.,I talked to Layla for 14 minutes late in the evening.\n32577,2019/08/25,I talked to Nora for 32 minutes late in the evening.,I talked to Nora for 32 minutes late in the evening.\n32578,2019/08/25,\"I spent 18 talking to Eva, Olivia on various topics in the early evening.\",\"I spent 18 talking to Eva, Olivia on various topics in the early evening.\"\n32579,2019/08/25,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n32580,2019/08/25,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n32581,2019/08/26,I spent time yoga on 2019/08/26 with Avery.,I spent time yoga on 2019/08/26 with Avery.\n32582,2019/08/26,I did hiking on 2019/08/26.,I did hiking on 2019/08/26.\n32583,2019/08/26,\"I had peanut-butter-jam for breakfast with Andrew, Carter, Kayden\",\"I had peanut-butter-jam for breakfast with Andrew, Carter, Kayden\"\n32584,2019/08/26,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n32585,2019/08/26,I ate a burger for dinner.,I ate a burger for dinner.\n32586,2019/08/26,I spent 6 talking to Layla on various topics in the morning.,I spent 6 talking to Layla on various topics in the morning.\n32587,2019/08/26,\"I spent 51 talking to Olivia, Avery, Claire on various topics late in the evening.\",\"I spent 51 talking to Olivia, Avery, Claire on various topics late in the evening.\"\n32588,2019/08/26,\"I spent 30 talking to Lydia, Hazel, Piper, Olivia on various topics in the morning.\",\"I spent 30 talking to Lydia, Hazel, Piper, Olivia on various topics in the morning.\"\n32589,2019/08/26,\"I talked to Eva, Lydia, Avery, Layla for 29 minutes in the morning.\",\"I talked to Eva, Lydia, Avery, Layla for 29 minutes in the morning.\"\n32590,2019/08/26,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n32591,2019/08/26,I spent 24 minutes watching news on TV today.,I spent 24 minutes watching news on TV today.\n32592,2019/08/27,I really enjoyed gardening on 2019/08/27,I really enjoyed gardening on 2019/08/27\n32593,2019/08/27,I did hiking on 2019/08/27.,I did hiking on 2019/08/27.\n32594,2019/08/27,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n32595,2019/08/27,\"I had indian food for lunch with Avery, Willow\",\"I had indian food for lunch with Avery, Willow\"\n32596,2019/08/27,I ate sushi for dinner.,I ate sushi for dinner.\n32597,2019/08/27,\"I talked to Claire, Lydia, Nevaeh, Piper for 16 minutes during lunch hours.\",\"I talked to Claire, Lydia, Nevaeh, Piper for 16 minutes during lunch hours.\"\n32598,2019/08/27,\"I talked to Piper, Layla for 9 minutes in the late afternoon.\",\"I talked to Piper, Layla for 9 minutes in the late afternoon.\"\n32599,2019/08/27,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n32600,2019/08/27,I watched a documentary for 55 minutes on TV today.,I watched a documentary for 55 minutes on TV today.\n32601,2019/08/28,I did HIIT on 2019/08/28.,I did HIIT on 2019/08/28.\n32602,2019/08/28,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n32603,2019/08/28,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n32604,2019/08/28,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n32605,2019/08/28,\"I talked to Eva, Piper, Nevaeh for 33 minutes in the morning.\",\"I talked to Eva, Piper, Nevaeh for 33 minutes in the morning.\"\n32606,2019/08/28,I spent 17 talking to Rylee on various topics in the morning.,I spent 17 talking to Rylee on various topics in the morning.\n32607,2019/08/28,\"I talked to Hazel, Avery for 30 minutes in the early evening.\",\"I talked to Hazel, Avery for 30 minutes in the early evening.\"\n32608,2019/08/28,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n32609,2019/08/28,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n32610,2019/08/29,I went on a date with Anthony on 2019/08/29 at a restaurant,I went on a date with Anthony on 2019/08/29 at a restaurant\n32611,2019/08/29,I did HIIT on 2019/08/29.,I did HIIT on 2019/08/29.\n32612,2019/08/29,\"I had breakfast with Nora, Claire, Piper, Kinsley, Layla, Olivia, Rylee, Hazel, Nevaeh, Eva. I ate pancakes.\",\"I had breakfast with Nora, Claire, Piper, Kinsley, Layla, Olivia, Rylee, Hazel, Nevaeh, Eva. I ate pancakes.\"\n32613,2019/08/29,\"I had fish and chips for lunch with Hazel, Nevaeh, Piper, Piper, Kinsley\",\"I had fish and chips for lunch with Hazel, Nevaeh, Piper, Piper, Kinsley\"\n32614,2019/08/29,\"I had dinner with Avery, Piper, Eva, Rylee. I ate chinese food.\",\"I had dinner with Avery, Piper, Eva, Rylee. I ate chinese food.\"\n32615,2019/08/29,\"I spent 28 talking to Claire, Rylee on various topics during lunch hours.\",\"I spent 28 talking to Claire, Rylee on various topics during lunch hours.\"\n32616,2019/08/29,\"I talked to Eva, Piper, Nora, Piper for 44 minutes in the late afternoon.\",\"I talked to Eva, Piper, Nora, Piper for 44 minutes in the late afternoon.\"\n32617,2019/08/29,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n32618,2019/08/29,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n32619,2019/08/30,I did swimming on 2019/08/30.,I did swimming on 2019/08/30.\n32620,2019/08/30,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n32621,2019/08/30,I ate sandwich for lunch.,I ate sandwich for lunch.\n32622,2019/08/30,I ate sandwich for dinner.,I ate sandwich for dinner.\n32623,2019/08/30,\"I talked to Piper, Kinsley, Claire for 35 minutes in the late afternoon.\",\"I talked to Piper, Kinsley, Claire for 35 minutes in the late afternoon.\"\n32624,2019/08/30,\"I spent 17 talking to Eva, Hazel, Avery, Nevaeh on various topics late in the evening.\",\"I spent 17 talking to Eva, Hazel, Avery, Nevaeh on various topics late in the evening.\"\n32625,2019/08/30,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n32626,2019/08/30,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n32627,2019/08/31,\"I entertained Kayden, Carter, Andrew, Emily at my place on 2019/08/31 and cook hungarian chicken paprikash\",\"I entertained Kayden, Carter, Andrew, Emily at my place on 2019/08/31 and cook hungarian chicken paprikash\"\n32628,2019/08/31,I did hiking on 2019/08/31.,I did hiking on 2019/08/31.\n32629,2019/08/31,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n32630,2019/08/31,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n32631,2019/08/31,\"I had a burger for dinner with Emily, Kayden, Andrew, Carter\",\"I had a burger for dinner with Emily, Kayden, Andrew, Carter\"\n32632,2019/08/31,\"I spent 10 talking to Olivia, Piper, Avery, Claire on various topics late in the evening.\",\"I spent 10 talking to Olivia, Piper, Avery, Claire on various topics late in the evening.\"\n32633,2019/08/31,\"I spent 7 talking to Nora, Piper, Piper, Kinsley on various topics in the early evening.\",\"I spent 7 talking to Nora, Piper, Piper, Kinsley on various topics in the early evening.\"\n32634,2019/08/31,\"I spent 18 talking to Nevaeh, Piper on various topics late in the evening.\",\"I spent 18 talking to Nevaeh, Piper on various topics late in the evening.\"\n32635,2019/08/31,\"I talked to Nora, Nevaeh, Piper, Olivia for 47 minutes in the late afternoon.\",\"I talked to Nora, Nevaeh, Piper, Olivia for 47 minutes in the late afternoon.\"\n32636,2019/08/31,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n32637,2019/08/31,I watched a documentary for 50 minutes on TV today.,I watched a documentary for 50 minutes on TV today.\n32638,2019/09/01,\"I bought some raspberries, mangos, mango juice, conditioner, body lotion online.\",\"I bought some raspberries, mangos, mango juice, conditioner, body lotion online.\"\n32639,2019/09/01,I did swimming on 2019/09/01.,I did swimming on 2019/09/01.\n32640,2019/09/01,I had breakfast with Willow. I ate cereals.,I had breakfast with Willow. I ate cereals.\n32641,2019/09/01,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n32642,2019/09/01,I prepare pasta for dinner.,I prepare pasta for dinner.\n32643,2019/09/01,\"I spent 33 talking to Lydia, Kinsley, Eva, Avery on various topics late in the evening.\",\"I spent 33 talking to Lydia, Kinsley, Eva, Avery on various topics late in the evening.\"\n32644,2019/09/01,\"I spent 26 talking to Layla, Kinsley on various topics late in the evening.\",\"I spent 26 talking to Layla, Kinsley on various topics late in the evening.\"\n32645,2019/09/01,\"I talked to Olivia, Claire for 41 minutes during lunch hours.\",\"I talked to Olivia, Claire for 41 minutes during lunch hours.\"\n32646,2019/09/01,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n32647,2019/09/01,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n32648,2019/09/02,I went on a date with Austin on 2019/09/02 at a restaurant,I went on a date with Austin on 2019/09/02 at a restaurant\n32649,2019/09/02,I did weight lifting on 2019/09/02.,I did weight lifting on 2019/09/02.\n32650,2019/09/02,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n32651,2019/09/02,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n32652,2019/09/02,I ate tacos for dinner.,I ate tacos for dinner.\n32653,2019/09/02,\"I spent 27 talking to Kinsley, Lydia, Claire, Nevaeh on various topics during lunch hours.\",\"I spent 27 talking to Kinsley, Lydia, Claire, Nevaeh on various topics during lunch hours.\"\n32654,2019/09/02,\"I spent 18 talking to Avery, Hazel, Rylee, Layla on various topics in the late afternoon.\",\"I spent 18 talking to Avery, Hazel, Rylee, Layla on various topics in the late afternoon.\"\n32655,2019/09/02,\"I spent 39 talking to Olivia, Layla, Nevaeh on various topics in the late afternoon.\",\"I spent 39 talking to Olivia, Layla, Nevaeh on various topics in the late afternoon.\"\n32656,2019/09/02,\"I spent 38 talking to Claire, Piper, Lydia, Nora on various topics in the morning.\",\"I spent 38 talking to Claire, Piper, Lydia, Nora on various topics in the morning.\"\n32657,2019/09/02,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n32658,2019/09/02,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n32659,2019/09/03,I did biking on 2019/09/03.,I did biking on 2019/09/03.\n32660,2019/09/03,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n32661,2019/09/03,\"I had lunch with Rylee, Eva, Claire, Avery, Nora, Hazel, Kinsley, Lydia, Nevaeh, Olivia, Piper, Layla. I ate pasta.\",\"I had lunch with Rylee, Eva, Claire, Avery, Nora, Hazel, Kinsley, Lydia, Nevaeh, Olivia, Piper, Layla. I ate pasta.\"\n32662,2019/09/03,I had dinner with Nora. I ate tacos.,I had dinner with Nora. I ate tacos.\n32663,2019/09/03,\"I talked to Claire, Rylee, Kinsley for 13 minutes in the late afternoon.\",\"I talked to Claire, Rylee, Kinsley for 13 minutes in the late afternoon.\"\n32664,2019/09/03,\"I talked to Kinsley, Hazel, Lydia, Nora for 29 minutes in the morning.\",\"I talked to Kinsley, Hazel, Lydia, Nora for 29 minutes in the morning.\"\n32665,2019/09/03,\"I spent 28 talking to Kinsley, Lydia, Piper on various topics late in the evening.\",\"I spent 28 talking to Kinsley, Lydia, Piper on various topics late in the evening.\"\n32666,2019/09/03,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n32667,2019/09/03,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n32668,2019/09/04,I really enjoyed gardening on 2019/09/04,I really enjoyed gardening on 2019/09/04\n32669,2019/09/04,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n32670,2019/09/04,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n32671,2019/09/04,\"I had dinner with Andrew, Kayden, Emily. I ate tacos.\",\"I had dinner with Andrew, Kayden, Emily. I ate tacos.\"\n32672,2019/09/04,I spent 5 talking to Nevaeh on various topics late in the evening.,I spent 5 talking to Nevaeh on various topics late in the evening.\n32673,2019/09/04,\"I talked to Layla, Piper, Kinsley, Lydia for 53 minutes during lunch hours.\",\"I talked to Layla, Piper, Kinsley, Lydia for 53 minutes during lunch hours.\"\n32674,2019/09/04,\"I spent 31 talking to Nevaeh, Avery, Olivia on various topics in the early afternoon.\",\"I spent 31 talking to Nevaeh, Avery, Olivia on various topics in the early afternoon.\"\n32675,2019/09/04,\"I talked to Olivia, Hazel for 9 minutes in the early evening.\",\"I talked to Olivia, Hazel for 9 minutes in the early evening.\"\n32676,2019/09/04,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n32677,2019/09/04,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n32678,2019/09/05,\"I went grocery shopping. I bought some apples, guava, blackberries, mandarins, chocolate milk, apple juice, and toilet paper, body lotion, toothbrush\",\"I went grocery shopping. I bought some apples, guava, blackberries, mandarins, chocolate milk, apple juice, and toilet paper, body lotion, toothbrush\"\n32679,2019/09/05,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n32680,2019/09/05,\"I had lunch with Kayden, Carter. I ate fish and chips.\",\"I had lunch with Kayden, Carter. I ate fish and chips.\"\n32681,2019/09/05,I ate a burger for dinner.,I ate a burger for dinner.\n32682,2019/09/05,I spent 48 talking to Claire on various topics during lunch hours.,I spent 48 talking to Claire on various topics during lunch hours.\n32683,2019/09/05,\"I spent 43 talking to Rylee, Nevaeh, Layla on various topics during lunch hours.\",\"I spent 43 talking to Rylee, Nevaeh, Layla on various topics during lunch hours.\"\n32684,2019/09/05,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n32685,2019/09/05,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n32686,2019/09/06,I did HIIT on 2019/09/06.,I did HIIT on 2019/09/06.\n32687,2019/09/06,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n32688,2019/09/06,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n32689,2019/09/06,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n32690,2019/09/06,I spent 30 talking to Piper on various topics during lunch hours.,I spent 30 talking to Piper on various topics during lunch hours.\n32691,2019/09/06,\"I talked to Olivia, Layla, Lydia for 29 minutes during lunch hours.\",\"I talked to Olivia, Layla, Lydia for 29 minutes during lunch hours.\"\n32692,2019/09/06,I spent 8 talking to Nora on various topics in the early afternoon.,I spent 8 talking to Nora on various topics in the early afternoon.\n32693,2019/09/06,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n32694,2019/09/06,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n32695,2019/09/07,\"I was baking lemon meringue cookies, cheater’s mini rhubarb galettes, chocolate-chip mug brownie on 2019/09/07 with Benjamin, Jackson, Willow at my place\",\"I was baking lemon meringue cookies, cheater’s mini rhubarb galettes, chocolate-chip mug brownie on 2019/09/07 with Benjamin, Jackson, Willow at my place\"\n32696,2019/09/07,\"I spent time learning a language on 2019/09/07 with Kayden, Andrew, Carter.\",\"I spent time learning a language on 2019/09/07 with Kayden, Andrew, Carter.\"\n32697,2019/09/07,\"I went grocery shopping with Kayden, Emily, Carter. I bought some blueberries, mangos, guava juice, mineral water, milk, and conditioner, shaving cream, toilet paper\",\"I went grocery shopping with Kayden, Emily, Carter. I bought some blueberries, mangos, guava juice, mineral water, milk, and conditioner, shaving cream, toilet paper\"\n32698,2019/09/07,I did biking on 2019/09/07.,I did biking on 2019/09/07.\n32699,2019/09/07,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n32700,2019/09/07,I ate a burger for lunch.,I ate a burger for lunch.\n32701,2019/09/07,\"I had dinner with Benjamin, Jackson, Willow, Avery. I ate chinese food.\",\"I had dinner with Benjamin, Jackson, Willow, Avery. I ate chinese food.\"\n32702,2019/09/07,\"I talked to Piper, Layla, Kinsley for 32 minutes in the morning.\",\"I talked to Piper, Layla, Kinsley for 32 minutes in the morning.\"\n32703,2019/09/07,\"I spent 46 talking to Claire, Layla, Kinsley on various topics in the early afternoon.\",\"I spent 46 talking to Claire, Layla, Kinsley on various topics in the early afternoon.\"\n32704,2019/09/07,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n32705,2019/09/07,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n32706,2019/09/08,I did hiking on 2019/09/08.,I did hiking on 2019/09/08.\n32707,2019/09/08,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n32708,2019/09/08,\"I had steak for lunch with Kayden, Andrew\",\"I had steak for lunch with Kayden, Andrew\"\n32709,2019/09/08,I prepare tacos for dinner.,I prepare tacos for dinner.\n32710,2019/09/08,I talked to Rylee for 46 minutes during lunch hours.,I talked to Rylee for 46 minutes during lunch hours.\n32711,2019/09/08,\"I spent 41 talking to Eva, Hazel, Avery on various topics late in the evening.\",\"I spent 41 talking to Eva, Hazel, Avery on various topics late in the evening.\"\n32712,2019/09/08,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n32713,2019/09/08,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n32714,2019/09/09,I did swimming on 2019/09/09.,I did swimming on 2019/09/09.\n32715,2019/09/09,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n32716,2019/09/09,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n32717,2019/09/09,I prepare pasta for dinner.,I prepare pasta for dinner.\n32718,2019/09/09,\"I spent 32 talking to Eva, Rylee, Olivia, Piper on various topics in the morning.\",\"I spent 32 talking to Eva, Rylee, Olivia, Piper on various topics in the morning.\"\n32719,2019/09/09,I spent 41 talking to Layla on various topics during lunch hours.,I spent 41 talking to Layla on various topics during lunch hours.\n32720,2019/09/09,\"I talked to Hazel, Olivia for 34 minutes in the early evening.\",\"I talked to Hazel, Olivia for 34 minutes in the early evening.\"\n32721,2019/09/09,\"I spent 6 talking to Rylee, Olivia, Layla on various topics during lunch hours.\",\"I spent 6 talking to Rylee, Olivia, Layla on various topics during lunch hours.\"\n32722,2019/09/09,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n32723,2019/09/09,I spent 46 minutes watching a movie on TV today.,I spent 46 minutes watching a movie on TV today.\n32724,2019/09/10,I did running on 2019/09/10.,I did running on 2019/09/10.\n32725,2019/09/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n32726,2019/09/10,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n32727,2019/09/10,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n32728,2019/09/10,I spent 8 talking to Olivia on various topics in the morning.,I spent 8 talking to Olivia on various topics in the morning.\n32729,2019/09/10,\"I talked to Avery, Kinsley for 48 minutes during lunch hours.\",\"I talked to Avery, Kinsley for 48 minutes during lunch hours.\"\n32730,2019/09/10,\"I talked to Rylee, Nevaeh for 20 minutes in the late afternoon.\",\"I talked to Rylee, Nevaeh for 20 minutes in the late afternoon.\"\n32731,2019/09/10,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n32732,2019/09/10,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n32733,2019/09/11,I did running on 2019/09/11.,I did running on 2019/09/11.\n32734,2019/09/11,I had breakfast with Avery. I ate peanut-butter-jam.,I had breakfast with Avery. I ate peanut-butter-jam.\n32735,2019/09/11,\"I had pasta for lunch with Carter, Kayden\",\"I had pasta for lunch with Carter, Kayden\"\n32736,2019/09/11,I had tacos for dinner with Emily,I had tacos for dinner with Emily\n32737,2019/09/11,\"I talked to Nora, Claire, Eva for 29 minutes during lunch hours.\",\"I talked to Nora, Claire, Eva for 29 minutes during lunch hours.\"\n32738,2019/09/11,\"I spent 14 talking to Piper, Olivia, Nora on various topics in the early evening.\",\"I spent 14 talking to Piper, Olivia, Nora on various topics in the early evening.\"\n32739,2019/09/11,\"I talked to Rylee, Kinsley, Layla, Olivia for 13 minutes during lunch hours.\",\"I talked to Rylee, Kinsley, Layla, Olivia for 13 minutes during lunch hours.\"\n32740,2019/09/11,\"I spent 8 talking to Nora, Hazel, Piper, Avery on various topics in the early evening.\",\"I spent 8 talking to Nora, Hazel, Piper, Avery on various topics in the early evening.\"\n32741,2019/09/11,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n32742,2019/09/11,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n32743,2019/09/12,I did weight lifting on 2019/09/12.,I did weight lifting on 2019/09/12.\n32744,2019/09/12,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n32745,2019/09/12,I had tacos for lunch with Andrew,I had tacos for lunch with Andrew\n32746,2019/09/12,\"I had dinner with Lydia, Layla, Piper, Nevaeh, Olivia, Nora, Eva, Piper, Hazel. I ate a burger.\",\"I had dinner with Lydia, Layla, Piper, Nevaeh, Olivia, Nora, Eva, Piper, Hazel. I ate a burger.\"\n32747,2019/09/12,I spent 22 talking to Hazel on various topics late in the evening.,I spent 22 talking to Hazel on various topics late in the evening.\n32748,2019/09/12,I talked to Kinsley for 41 minutes late in the evening.,I talked to Kinsley for 41 minutes late in the evening.\n32749,2019/09/12,\"I talked to Layla, Nevaeh, Olivia, Piper for 31 minutes in the morning.\",\"I talked to Layla, Nevaeh, Olivia, Piper for 31 minutes in the morning.\"\n32750,2019/09/12,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n32751,2019/09/12,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n32752,2019/09/13,I did weight lifting on 2019/09/13.,I did weight lifting on 2019/09/13.\n32753,2019/09/13,\"I had breakfast with Emily, Carter, Kayden. I ate toast and cheese.\",\"I had breakfast with Emily, Carter, Kayden. I ate toast and cheese.\"\n32754,2019/09/13,\"I had lunch with Kayden, Emily, Carter, Andrew. I ate chinese food.\",\"I had lunch with Kayden, Emily, Carter, Andrew. I ate chinese food.\"\n32755,2019/09/13,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n32756,2019/09/13,I spent 49 talking to Piper on various topics in the late afternoon.,I spent 49 talking to Piper on various topics in the late afternoon.\n32757,2019/09/13,\"I spent 28 talking to Lydia, Rylee on various topics late in the evening.\",\"I spent 28 talking to Lydia, Rylee on various topics late in the evening.\"\n32758,2019/09/13,\"I talked to Olivia, Nevaeh for 46 minutes in the morning.\",\"I talked to Olivia, Nevaeh for 46 minutes in the morning.\"\n32759,2019/09/13,I talked to Piper for 23 minutes late in the evening.,I talked to Piper for 23 minutes late in the evening.\n32760,2019/09/13,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n32761,2019/09/13,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n32762,2019/09/14,I did weight lifting on 2019/09/14.,I did weight lifting on 2019/09/14.\n32763,2019/09/14,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n32764,2019/09/14,I prepare a burger for lunch.,I prepare a burger for lunch.\n32765,2019/09/14,\"I had fish and chips for dinner with Willow, Jackson, Benjamin\",\"I had fish and chips for dinner with Willow, Jackson, Benjamin\"\n32766,2019/09/14,\"I talked to Rylee, Piper for 45 minutes in the early afternoon.\",\"I talked to Rylee, Piper for 45 minutes in the early afternoon.\"\n32767,2019/09/14,\"I talked to Hazel, Olivia for 51 minutes in the early afternoon.\",\"I talked to Hazel, Olivia for 51 minutes in the early afternoon.\"\n32768,2019/09/14,\"I spent 55 talking to Rylee, Claire on various topics in the early evening.\",\"I spent 55 talking to Rylee, Claire on various topics in the early evening.\"\n32769,2019/09/14,\"I talked to Claire, Layla for 45 minutes late in the evening.\",\"I talked to Claire, Layla for 45 minutes late in the evening.\"\n32770,2019/09/14,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n32771,2019/09/14,I spent 27 minutes watching a movie on TV today.,I spent 27 minutes watching a movie on TV today.\n32772,2019/09/15,\"On 2019/09/15, I took Athena on a date to a coffee Shop\",\"On 2019/09/15, I took Athena on a date to a coffee Shop\"\n32773,2019/09/15,I did HIIT on 2019/09/15.,I did HIIT on 2019/09/15.\n32774,2019/09/15,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n32775,2019/09/15,\"I had sushi for lunch with Nevaeh, Kinsley, Piper, Nora, Rylee, Piper, Claire, Eva, Lydia, Layla, Olivia, Avery\",\"I had sushi for lunch with Nevaeh, Kinsley, Piper, Nora, Rylee, Piper, Claire, Eva, Lydia, Layla, Olivia, Avery\"\n32776,2019/09/15,\"I had dinner with Rylee, Kinsley, Piper, Lydia. I ate indian food.\",\"I had dinner with Rylee, Kinsley, Piper, Lydia. I ate indian food.\"\n32777,2019/09/15,\"I talked to Kinsley, Eva, Rylee, Claire for 34 minutes in the early evening.\",\"I talked to Kinsley, Eva, Rylee, Claire for 34 minutes in the early evening.\"\n32778,2019/09/15,I talked to Layla for 55 minutes in the late afternoon.,I talked to Layla for 55 minutes in the late afternoon.\n32779,2019/09/15,I talked to Kinsley for 8 minutes in the early evening.,I talked to Kinsley for 8 minutes in the early evening.\n32780,2019/09/15,I talked to Nora for 31 minutes in the late afternoon.,I talked to Nora for 31 minutes in the late afternoon.\n32781,2019/09/15,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n32782,2019/09/15,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n32783,2019/09/16,\"I bought some blackberries, mineral water, toothpaste, mouth wash, toilet paper, mouthwash online.\",\"I bought some blackberries, mineral water, toothpaste, mouth wash, toilet paper, mouthwash online.\"\n32784,2019/09/16,I did hiking on 2019/09/16.,I did hiking on 2019/09/16.\n32785,2019/09/16,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n32786,2019/09/16,\"I had lunch with Willow, Benjamin. I ate chinese food.\",\"I had lunch with Willow, Benjamin. I ate chinese food.\"\n32787,2019/09/16,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n32788,2019/09/16,\"I talked to Nora, Lydia, Nevaeh, Hazel for 49 minutes in the late afternoon.\",\"I talked to Nora, Lydia, Nevaeh, Hazel for 49 minutes in the late afternoon.\"\n32789,2019/09/16,\"I spent 38 talking to Piper, Eva, Piper on various topics during lunch hours.\",\"I spent 38 talking to Piper, Eva, Piper on various topics during lunch hours.\"\n32790,2019/09/16,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n32791,2019/09/16,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n32792,2019/09/17,I did weight lifting on 2019/09/17.,I did weight lifting on 2019/09/17.\n32793,2019/09/17,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n32794,2019/09/17,I prepare sushi for lunch.,I prepare sushi for lunch.\n32795,2019/09/17,I prepare sushi for dinner.,I prepare sushi for dinner.\n32796,2019/09/17,\"I spent 33 talking to Rylee, Kinsley, Eva, Lydia on various topics in the early evening.\",\"I spent 33 talking to Rylee, Kinsley, Eva, Lydia on various topics in the early evening.\"\n32797,2019/09/17,I spent 6 talking to Piper on various topics late in the evening.,I spent 6 talking to Piper on various topics late in the evening.\n32798,2019/09/17,\"I talked to Avery, Nora, Kinsley, Claire for 13 minutes in the early evening.\",\"I talked to Avery, Nora, Kinsley, Claire for 13 minutes in the early evening.\"\n32799,2019/09/17,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n32800,2019/09/17,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n32801,2019/09/18,I did swimming on 2019/09/18.,I did swimming on 2019/09/18.\n32802,2019/09/18,\"I had breakfast with Avery, Benjamin. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Benjamin. I ate peanut-butter-jam.\"\n32803,2019/09/18,I had tacos for lunch with Willow,I had tacos for lunch with Willow\n32804,2019/09/18,\"I had dinner with Claire, Piper, Rylee, Eva, Lydia. I ate sushi.\",\"I had dinner with Claire, Piper, Rylee, Eva, Lydia. I ate sushi.\"\n32805,2019/09/18,\"I spent 28 talking to Eva, Avery, Nora on various topics in the early afternoon.\",\"I spent 28 talking to Eva, Avery, Nora on various topics in the early afternoon.\"\n32806,2019/09/18,\"I spent 44 talking to Olivia, Rylee, Nevaeh on various topics during lunch hours.\",\"I spent 44 talking to Olivia, Rylee, Nevaeh on various topics during lunch hours.\"\n32807,2019/09/18,\"I talked to Piper, Rylee, Claire for 51 minutes in the early evening.\",\"I talked to Piper, Rylee, Claire for 51 minutes in the early evening.\"\n32808,2019/09/18,\"I spent 54 talking to Layla, Nevaeh, Kinsley on various topics in the late afternoon.\",\"I spent 54 talking to Layla, Nevaeh, Kinsley on various topics in the late afternoon.\"\n32809,2019/09/18,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n32810,2019/09/18,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n32811,2019/09/19,I went on a date with Jacob on 2019/09/19 at a park,I went on a date with Jacob on 2019/09/19 at a park\n32812,2019/09/19,I spent some time meditation on 2019/09/19.,I spent some time meditation on 2019/09/19.\n32813,2019/09/19,I did swimming on 2019/09/19.,I did swimming on 2019/09/19.\n32814,2019/09/19,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n32815,2019/09/19,I ate chinese food for lunch.,I ate chinese food for lunch.\n32816,2019/09/19,\"I had fish and chips for dinner with Lydia, Olivia, Rylee, Nora, Eva, Claire, Layla, Hazel, Avery, Kinsley, Piper, Nevaeh\",\"I had fish and chips for dinner with Lydia, Olivia, Rylee, Nora, Eva, Claire, Layla, Hazel, Avery, Kinsley, Piper, Nevaeh\"\n32817,2019/09/19,I talked to Nora for 41 minutes in the early evening.,I talked to Nora for 41 minutes in the early evening.\n32818,2019/09/19,\"I spent 17 talking to Layla, Piper, Piper, Hazel on various topics late in the evening.\",\"I spent 17 talking to Layla, Piper, Piper, Hazel on various topics late in the evening.\"\n32819,2019/09/19,I spent 37 talking to Eva on various topics during lunch hours.,I spent 37 talking to Eva on various topics during lunch hours.\n32820,2019/09/19,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n32821,2019/09/19,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n32822,2019/09/20,\"I bought some clementines, chocolate milk, mango juice, orange juice, soda, shampoo, body lotion from the grocery store. I saw Avery, Lydia, Eva, Piper, Hazel, Rylee, Nora, Layla, Kinsley, Olivia at the grocery store.\",\"I bought some clementines, chocolate milk, mango juice, orange juice, soda, shampoo, body lotion from the grocery store. I saw Avery, Lydia, Eva, Piper, Hazel, Rylee, Nora, Layla, Kinsley, Olivia at the grocery store.\"\n32823,2019/09/20,I did biking on 2019/09/20.,I did biking on 2019/09/20.\n32824,2019/09/20,\"I had breakfast with Olivia, Kinsley, Avery, Lydia, Nevaeh, Rylee, Layla. I ate peanut-butter-jam.\",\"I had breakfast with Olivia, Kinsley, Avery, Lydia, Nevaeh, Rylee, Layla. I ate peanut-butter-jam.\"\n32825,2019/09/20,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n32826,2019/09/20,I prepare a burger for dinner.,I prepare a burger for dinner.\n32827,2019/09/20,I spent 22 talking to Layla on various topics late in the evening.,I spent 22 talking to Layla on various topics late in the evening.\n32828,2019/09/20,\"I spent 44 talking to Nora, Claire, Kinsley on various topics late in the evening.\",\"I spent 44 talking to Nora, Claire, Kinsley on various topics late in the evening.\"\n32829,2019/09/20,\"I spent 14 talking to Olivia, Layla, Piper, Nora on various topics in the late afternoon.\",\"I spent 14 talking to Olivia, Layla, Piper, Nora on various topics in the late afternoon.\"\n32830,2019/09/20,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n32831,2019/09/20,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n32832,2019/09/21,I did HIIT on 2019/09/21.,I did HIIT on 2019/09/21.\n32833,2019/09/21,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n32834,2019/09/21,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n32835,2019/09/21,\"I had tacos for dinner with Carter, Emily, Andrew\",\"I had tacos for dinner with Carter, Emily, Andrew\"\n32836,2019/09/21,I talked to Nevaeh for 37 minutes in the late afternoon.,I talked to Nevaeh for 37 minutes in the late afternoon.\n32837,2019/09/21,I talked to Eva for 29 minutes late in the evening.,I talked to Eva for 29 minutes late in the evening.\n32838,2019/09/21,\"I spent 38 talking to Piper, Nora, Avery on various topics in the morning.\",\"I spent 38 talking to Piper, Nora, Avery on various topics in the morning.\"\n32839,2019/09/21,\"I talked to Piper, Piper, Lydia, Avery for 7 minutes during lunch hours.\",\"I talked to Piper, Piper, Lydia, Avery for 7 minutes during lunch hours.\"\n32840,2019/09/21,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n32841,2019/09/21,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n32842,2019/09/22,I did hiking on 2019/09/22.,I did hiking on 2019/09/22.\n32843,2019/09/22,\"I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread.\"\n32844,2019/09/22,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n32845,2019/09/22,\"I had fish and chips for dinner with Eva, Nora, Lydia, Nevaeh, Piper, Olivia, Piper\",\"I had fish and chips for dinner with Eva, Nora, Lydia, Nevaeh, Piper, Olivia, Piper\"\n32846,2019/09/22,\"I spent 5 talking to Kinsley, Olivia on various topics during lunch hours.\",\"I spent 5 talking to Kinsley, Olivia on various topics during lunch hours.\"\n32847,2019/09/22,\"I spent 49 talking to Lydia, Piper on various topics in the late afternoon.\",\"I spent 49 talking to Lydia, Piper on various topics in the late afternoon.\"\n32848,2019/09/22,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n32849,2019/09/22,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n32850,2019/09/23,I did HIIT on 2019/09/23.,I did HIIT on 2019/09/23.\n32851,2019/09/23,\"I had oatmeal for breakfast with Eva, Avery, Piper\",\"I had oatmeal for breakfast with Eva, Avery, Piper\"\n32852,2019/09/23,\"I had tacos for lunch with Hazel, Avery, Nevaeh, Olivia, Eva, Piper\",\"I had tacos for lunch with Hazel, Avery, Nevaeh, Olivia, Eva, Piper\"\n32853,2019/09/23,I prepare sushi for dinner.,I prepare sushi for dinner.\n32854,2019/09/23,I spent 8 talking to Hazel on various topics during lunch hours.,I spent 8 talking to Hazel on various topics during lunch hours.\n32855,2019/09/23,\"I talked to Piper, Eva for 21 minutes in the late afternoon.\",\"I talked to Piper, Eva for 21 minutes in the late afternoon.\"\n32856,2019/09/23,\"I spent 23 talking to Piper, Piper, Lydia, Olivia on various topics in the morning.\",\"I spent 23 talking to Piper, Piper, Lydia, Olivia on various topics in the morning.\"\n32857,2019/09/23,I talked to Piper for 22 minutes in the early afternoon.,I talked to Piper for 22 minutes in the early afternoon.\n32858,2019/09/23,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n32859,2019/09/23,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n32860,2019/09/24,I ate cereals for breakfast.,I ate cereals for breakfast.\n32861,2019/09/24,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n32862,2019/09/24,I ate sandwich for dinner.,I ate sandwich for dinner.\n32863,2019/09/24,I talked to Claire for 35 minutes during lunch hours.,I talked to Claire for 35 minutes during lunch hours.\n32864,2019/09/24,\"I talked to Nora, Eva, Layla, Hazel for 33 minutes in the early afternoon.\",\"I talked to Nora, Eva, Layla, Hazel for 33 minutes in the early afternoon.\"\n32865,2019/09/24,\"I spent 6 talking to Nevaeh, Lydia, Piper on various topics in the morning.\",\"I spent 6 talking to Nevaeh, Lydia, Piper on various topics in the morning.\"\n32866,2019/09/24,I spent 6 minutes on social media today.,I spent 6 minutes on social media today.\n32867,2019/09/24,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n32868,2019/09/25,\"On 2019/09/25, I took Violet on a date to a park\",\"On 2019/09/25, I took Violet on a date to a park\"\n32869,2019/09/25,\"I bought some nectarines, watermelons, apricots, sports drinks, toilet paper, shaving cream, toothpaste, conditioner online.\",\"I bought some nectarines, watermelons, apricots, sports drinks, toilet paper, shaving cream, toothpaste, conditioner online.\"\n32870,2019/09/25,I did HIIT on 2019/09/25.,I did HIIT on 2019/09/25.\n32871,2019/09/25,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n32872,2019/09/25,I ate pasta for lunch.,I ate pasta for lunch.\n32873,2019/09/25,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n32874,2019/09/25,\"I talked to Eva, Piper, Claire, Nora for 54 minutes in the early evening.\",\"I talked to Eva, Piper, Claire, Nora for 54 minutes in the early evening.\"\n32875,2019/09/25,\"I spent 51 talking to Nora, Avery, Kinsley, Rylee on various topics late in the evening.\",\"I spent 51 talking to Nora, Avery, Kinsley, Rylee on various topics late in the evening.\"\n32876,2019/09/25,\"I spent 50 talking to Avery, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 50 talking to Avery, Piper, Nevaeh on various topics in the late afternoon.\"\n32877,2019/09/25,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n32878,2019/09/25,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n32879,2019/09/26,I did running on 2019/09/26.,I did running on 2019/09/26.\n32880,2019/09/26,\"I had breakfast with Nevaeh, Layla, Nora, Hazel, Eva, Kinsley, Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Nevaeh, Layla, Nora, Hazel, Eva, Kinsley, Avery. I ate eggs, sausages, and bread.\"\n32881,2019/09/26,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n32882,2019/09/26,I prepare sushi for dinner.,I prepare sushi for dinner.\n32883,2019/09/26,\"I spent 24 talking to Nevaeh, Avery on various topics in the morning.\",\"I spent 24 talking to Nevaeh, Avery on various topics in the morning.\"\n32884,2019/09/26,\"I talked to Piper, Eva, Nora for 13 minutes in the late afternoon.\",\"I talked to Piper, Eva, Nora for 13 minutes in the late afternoon.\"\n32885,2019/09/26,\"I talked to Nevaeh, Hazel for 35 minutes in the morning.\",\"I talked to Nevaeh, Hazel for 35 minutes in the morning.\"\n32886,2019/09/26,\"I spent 55 talking to Rylee, Avery, Lydia on various topics in the morning.\",\"I spent 55 talking to Rylee, Avery, Lydia on various topics in the morning.\"\n32887,2019/09/26,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n32888,2019/09/26,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n32889,2019/09/27,\"I went grocery shopping with Andrew, Carter, Kayden. I bought some oranges, pears, blueberries, guava juice, soda, mineral water, mango juice, and paper towel, toothpaste, mouth wash, mouthwash\",\"I went grocery shopping with Andrew, Carter, Kayden. I bought some oranges, pears, blueberries, guava juice, soda, mineral water, mango juice, and paper towel, toothpaste, mouth wash, mouthwash\"\n32890,2019/09/27,I did HIIT on 2019/09/27.,I did HIIT on 2019/09/27.\n32891,2019/09/27,\"I had breakfast with Kayden, Carter, Emily. I ate pancakes.\",\"I had breakfast with Kayden, Carter, Emily. I ate pancakes.\"\n32892,2019/09/27,I had lunch with Emily. I ate chinese food.,I had lunch with Emily. I ate chinese food.\n32893,2019/09/27,I had steak for dinner with Andrew,I had steak for dinner with Andrew\n32894,2019/09/27,I talked to Avery for 13 minutes in the late afternoon.,I talked to Avery for 13 minutes in the late afternoon.\n32895,2019/09/27,\"I spent 11 talking to Rylee, Piper on various topics in the late afternoon.\",\"I spent 11 talking to Rylee, Piper on various topics in the late afternoon.\"\n32896,2019/09/27,\"I spent 49 talking to Eva, Hazel, Nevaeh, Piper on various topics in the early evening.\",\"I spent 49 talking to Eva, Hazel, Nevaeh, Piper on various topics in the early evening.\"\n32897,2019/09/27,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n32898,2019/09/27,I spent 38 minutes watching a tv series on TV today.,I spent 38 minutes watching a tv series on TV today.\n32899,2019/09/28,I did HIIT on 2019/09/28.,I did HIIT on 2019/09/28.\n32900,2019/09/28,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n32901,2019/09/28,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n32902,2019/09/28,I ate pasta for dinner.,I ate pasta for dinner.\n32903,2019/09/28,\"I spent 12 talking to Lydia, Avery on various topics in the early afternoon.\",\"I spent 12 talking to Lydia, Avery on various topics in the early afternoon.\"\n32904,2019/09/28,\"I spent 15 talking to Layla, Claire, Nora on various topics late in the evening.\",\"I spent 15 talking to Layla, Claire, Nora on various topics late in the evening.\"\n32905,2019/09/28,\"I spent 14 talking to Eva, Kinsley, Lydia on various topics during lunch hours.\",\"I spent 14 talking to Eva, Kinsley, Lydia on various topics during lunch hours.\"\n32906,2019/09/28,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n32907,2019/09/28,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n32908,2019/09/29,I did biking on 2019/09/29.,I did biking on 2019/09/29.\n32909,2019/09/29,I ate cereals for breakfast.,I ate cereals for breakfast.\n32910,2019/09/29,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n32911,2019/09/29,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n32912,2019/09/29,\"I talked to Lydia, Nora for 8 minutes late in the evening.\",\"I talked to Lydia, Nora for 8 minutes late in the evening.\"\n32913,2019/09/29,\"I spent 38 talking to Layla, Lydia on various topics late in the evening.\",\"I spent 38 talking to Layla, Lydia on various topics late in the evening.\"\n32914,2019/09/29,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n32915,2019/09/29,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n32916,2019/09/30,I did running on 2019/09/30.,I did running on 2019/09/30.\n32917,2019/09/30,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n32918,2019/09/30,I had lunch with Jackson. I ate chinese food.,I had lunch with Jackson. I ate chinese food.\n32919,2019/09/30,I ate steak for dinner.,I ate steak for dinner.\n32920,2019/09/30,\"I talked to Piper, Avery, Olivia for 27 minutes in the morning.\",\"I talked to Piper, Avery, Olivia for 27 minutes in the morning.\"\n32921,2019/09/30,\"I talked to Hazel, Eva for 36 minutes in the early evening.\",\"I talked to Hazel, Eva for 36 minutes in the early evening.\"\n32922,2019/09/30,\"I talked to Olivia, Eva for 12 minutes in the early evening.\",\"I talked to Olivia, Eva for 12 minutes in the early evening.\"\n32923,2019/09/30,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n32924,2019/09/30,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n32925,2019/10/01,I did weight lifting on 2019/10/01.,I did weight lifting on 2019/10/01.\n32926,2019/10/01,\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate peanut-butter-jam.\"\n32927,2019/10/01,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n32928,2019/10/01,I ate steak for dinner.,I ate steak for dinner.\n32929,2019/10/01,\"I spent 36 talking to Nora, Avery, Hazel on various topics during lunch hours.\",\"I spent 36 talking to Nora, Avery, Hazel on various topics during lunch hours.\"\n32930,2019/10/01,\"I talked to Piper, Avery, Olivia for 18 minutes in the morning.\",\"I talked to Piper, Avery, Olivia for 18 minutes in the morning.\"\n32931,2019/10/01,I talked to Eva for 11 minutes in the late afternoon.,I talked to Eva for 11 minutes in the late afternoon.\n32932,2019/10/01,\"I spent 47 talking to Kinsley, Lydia, Piper, Layla on various topics during lunch hours.\",\"I spent 47 talking to Kinsley, Lydia, Piper, Layla on various topics during lunch hours.\"\n32933,2019/10/01,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n32934,2019/10/01,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n32935,2019/10/02,I really enjoyed learning a language on 2019/10/02,I really enjoyed learning a language on 2019/10/02\n32936,2019/10/02,I did hiking on 2019/10/02.,I did hiking on 2019/10/02.\n32937,2019/10/02,\"I had peanut-butter-jam for breakfast with Benjamin, Willow, Avery, Jackson\",\"I had peanut-butter-jam for breakfast with Benjamin, Willow, Avery, Jackson\"\n32938,2019/10/02,I ate a burger for lunch.,I ate a burger for lunch.\n32939,2019/10/02,I had dinner with Carter. I ate a burger.,I had dinner with Carter. I ate a burger.\n32940,2019/10/02,\"I talked to Nora, Piper, Hazel, Eva for 17 minutes during lunch hours.\",\"I talked to Nora, Piper, Hazel, Eva for 17 minutes during lunch hours.\"\n32941,2019/10/02,\"I spent 15 talking to Rylee, Kinsley on various topics during lunch hours.\",\"I spent 15 talking to Rylee, Kinsley on various topics during lunch hours.\"\n32942,2019/10/02,\"I talked to Eva, Lydia for 40 minutes in the early afternoon.\",\"I talked to Eva, Lydia for 40 minutes in the early afternoon.\"\n32943,2019/10/02,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n32944,2019/10/02,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n32945,2019/10/03,I did biking on 2019/10/03.,I did biking on 2019/10/03.\n32946,2019/10/03,\"I had peanut-butter-jam for breakfast with Rylee, Piper, Olivia, Nevaeh, Avery, Layla, Nora, Claire\",\"I had peanut-butter-jam for breakfast with Rylee, Piper, Olivia, Nevaeh, Avery, Layla, Nora, Claire\"\n32947,2019/10/03,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n32948,2019/10/03,\"I had pasta for dinner with Nora, Olivia, Avery, Layla, Eva, Nevaeh, Kinsley, Hazel, Piper, Claire, Piper\",\"I had pasta for dinner with Nora, Olivia, Avery, Layla, Eva, Nevaeh, Kinsley, Hazel, Piper, Claire, Piper\"\n32949,2019/10/03,\"I talked to Eva, Layla for 5 minutes in the early afternoon.\",\"I talked to Eva, Layla for 5 minutes in the early afternoon.\"\n32950,2019/10/03,\"I talked to Olivia, Hazel, Nora for 11 minutes in the morning.\",\"I talked to Olivia, Hazel, Nora for 11 minutes in the morning.\"\n32951,2019/10/03,\"I talked to Rylee, Eva, Claire for 25 minutes during lunch hours.\",\"I talked to Rylee, Eva, Claire for 25 minutes during lunch hours.\"\n32952,2019/10/03,\"I spent 10 talking to Kinsley, Avery, Lydia on various topics in the early afternoon.\",\"I spent 10 talking to Kinsley, Avery, Lydia on various topics in the early afternoon.\"\n32953,2019/10/03,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n32954,2019/10/03,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n32955,2019/10/04,I spent time learning a language on 2019/10/04 with Emily.,I spent time learning a language on 2019/10/04 with Emily.\n32956,2019/10/04,I did weight lifting on 2019/10/04.,I did weight lifting on 2019/10/04.\n32957,2019/10/04,\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Emily\",\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Emily\"\n32958,2019/10/04,I ate pasta for lunch.,I ate pasta for lunch.\n32959,2019/10/04,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n32960,2019/10/04,\"I talked to Claire, Nora for 24 minutes in the early evening.\",\"I talked to Claire, Nora for 24 minutes in the early evening.\"\n32961,2019/10/04,\"I spent 11 talking to Nora, Piper on various topics in the early evening.\",\"I spent 11 talking to Nora, Piper on various topics in the early evening.\"\n32962,2019/10/04,\"I talked to Nora, Lydia for 43 minutes in the early afternoon.\",\"I talked to Nora, Lydia for 43 minutes in the early afternoon.\"\n32963,2019/10/04,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n32964,2019/10/04,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n32965,2019/10/05,I did HIIT on 2019/10/05.,I did HIIT on 2019/10/05.\n32966,2019/10/05,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n32967,2019/10/05,I prepare steak for lunch.,I prepare steak for lunch.\n32968,2019/10/05,\"I had pasta for dinner with Kayden, Carter\",\"I had pasta for dinner with Kayden, Carter\"\n32969,2019/10/05,\"I talked to Piper, Piper for 54 minutes in the early afternoon.\",\"I talked to Piper, Piper for 54 minutes in the early afternoon.\"\n32970,2019/10/05,\"I talked to Nevaeh, Layla for 7 minutes late in the evening.\",\"I talked to Nevaeh, Layla for 7 minutes late in the evening.\"\n32971,2019/10/05,I talked to Hazel for 23 minutes in the early evening.,I talked to Hazel for 23 minutes in the early evening.\n32972,2019/10/05,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n32973,2019/10/05,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n32974,2019/10/06,I did biking on 2019/10/06.,I did biking on 2019/10/06.\n32975,2019/10/06,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n32976,2019/10/06,\"I had fish and chips for lunch with Kayden, Carter, Andrew, Emily\",\"I had fish and chips for lunch with Kayden, Carter, Andrew, Emily\"\n32977,2019/10/06,I prepare indian food for dinner.,I prepare indian food for dinner.\n32978,2019/10/06,\"I spent 6 talking to Rylee, Nevaeh on various topics in the early afternoon.\",\"I spent 6 talking to Rylee, Nevaeh on various topics in the early afternoon.\"\n32979,2019/10/06,I spent 7 talking to Lydia on various topics in the early evening.,I spent 7 talking to Lydia on various topics in the early evening.\n32980,2019/10/06,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n32981,2019/10/06,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n32982,2019/10/07,I went on a date with Valentina on 2019/10/07 at a restaurant,I went on a date with Valentina on 2019/10/07 at a restaurant\n32983,2019/10/07,\"I bought some apricots, guava, pears, pineapple juice, guava juice, milk, body lotion, mouthwash online.\",\"I bought some apricots, guava, pears, pineapple juice, guava juice, milk, body lotion, mouthwash online.\"\n32984,2019/10/07,I did HIIT on 2019/10/07.,I did HIIT on 2019/10/07.\n32985,2019/10/07,\"I had breakfast with Avery, Benjamin. I ate cereals.\",\"I had breakfast with Avery, Benjamin. I ate cereals.\"\n32986,2019/10/07,I ate pasta for lunch.,I ate pasta for lunch.\n32987,2019/10/07,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n32988,2019/10/07,\"I spent 41 talking to Piper, Eva on various topics in the morning.\",\"I spent 41 talking to Piper, Eva on various topics in the morning.\"\n32989,2019/10/07,\"I talked to Avery, Piper, Claire, Eva for 25 minutes in the early afternoon.\",\"I talked to Avery, Piper, Claire, Eva for 25 minutes in the early afternoon.\"\n32990,2019/10/07,\"I spent 12 talking to Eva, Nevaeh, Rylee, Hazel on various topics during lunch hours.\",\"I spent 12 talking to Eva, Nevaeh, Rylee, Hazel on various topics during lunch hours.\"\n32991,2019/10/07,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n32992,2019/10/07,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n32993,2019/10/08,\"On 2019/10/08, I took Josiah on a date to a restaurant\",\"On 2019/10/08, I took Josiah on a date to a restaurant\"\n32994,2019/10/08,\"I bought some pears, bananas, milk, sports drinks, mineral water, toilet paper, shampoo, toothpaste from the grocery store. I saw Hazel, Olivia, Eva, Layla, Rylee, Kinsley at the grocery store.\",\"I bought some pears, bananas, milk, sports drinks, mineral water, toilet paper, shampoo, toothpaste from the grocery store. I saw Hazel, Olivia, Eva, Layla, Rylee, Kinsley at the grocery store.\"\n32995,2019/10/08,I did swimming on 2019/10/08.,I did swimming on 2019/10/08.\n32996,2019/10/08,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n32997,2019/10/08,\"I had chinese food for lunch with Avery, Eva, Nora, Lydia\",\"I had chinese food for lunch with Avery, Eva, Nora, Lydia\"\n32998,2019/10/08,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n32999,2019/10/08,\"I spent 43 talking to Rylee, Olivia, Hazel on various topics during lunch hours.\",\"I spent 43 talking to Rylee, Olivia, Hazel on various topics during lunch hours.\"\n33000,2019/10/08,I talked to Piper for 43 minutes in the morning.,I talked to Piper for 43 minutes in the morning.\n33001,2019/10/08,\"I talked to Claire, Kinsley for 25 minutes in the morning.\",\"I talked to Claire, Kinsley for 25 minutes in the morning.\"\n33002,2019/10/08,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n33003,2019/10/08,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n33004,2019/10/09,I did HIIT on 2019/10/09.,I did HIIT on 2019/10/09.\n33005,2019/10/09,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n33006,2019/10/09,\"I had chinese food for lunch with Carter, Andrew\",\"I had chinese food for lunch with Carter, Andrew\"\n33007,2019/10/09,I had dinner. I ate steak.,I had dinner. I ate steak.\n33008,2019/10/09,\"I spent 37 talking to Lydia, Olivia, Rylee on various topics in the morning.\",\"I spent 37 talking to Lydia, Olivia, Rylee on various topics in the morning.\"\n33009,2019/10/09,I talked to Lydia for 30 minutes in the early afternoon.,I talked to Lydia for 30 minutes in the early afternoon.\n33010,2019/10/09,\"I talked to Eva, Piper, Hazel for 6 minutes during lunch hours.\",\"I talked to Eva, Piper, Hazel for 6 minutes during lunch hours.\"\n33011,2019/10/09,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n33012,2019/10/09,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n33013,2019/10/10,I did swimming on 2019/10/10.,I did swimming on 2019/10/10.\n33014,2019/10/10,\"I had oatmeal for breakfast with Willow, Benjamin\",\"I had oatmeal for breakfast with Willow, Benjamin\"\n33015,2019/10/10,I ate a burger for lunch.,I ate a burger for lunch.\n33016,2019/10/10,I prepare tacos for dinner.,I prepare tacos for dinner.\n33017,2019/10/10,\"I spent 30 talking to Piper, Claire, Lydia on various topics late in the evening.\",\"I spent 30 talking to Piper, Claire, Lydia on various topics late in the evening.\"\n33018,2019/10/10,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n33019,2019/10/10,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n33020,2019/10/11,\"I bought some bananas, blueberries, orange juice, tea, apple juice, facial wash from the grocery store. I saw Jackson, Willow at the grocery store.\",\"I bought some bananas, blueberries, orange juice, tea, apple juice, facial wash from the grocery store. I saw Jackson, Willow at the grocery store.\"\n33021,2019/10/11,I did weight lifting on 2019/10/11.,I did weight lifting on 2019/10/11.\n33022,2019/10/11,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n33023,2019/10/11,I prepare tacos for lunch.,I prepare tacos for lunch.\n33024,2019/10/11,I ate pasta for dinner.,I ate pasta for dinner.\n33025,2019/10/11,I talked to Layla for 11 minutes in the early evening.,I talked to Layla for 11 minutes in the early evening.\n33026,2019/10/11,\"I spent 45 talking to Rylee, Nora, Kinsley on various topics in the late afternoon.\",\"I spent 45 talking to Rylee, Nora, Kinsley on various topics in the late afternoon.\"\n33027,2019/10/11,\"I spent 21 talking to Rylee, Layla on various topics in the early evening.\",\"I spent 21 talking to Rylee, Layla on various topics in the early evening.\"\n33028,2019/10/11,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n33029,2019/10/11,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n33030,2019/10/12,I did weight lifting on 2019/10/12.,I did weight lifting on 2019/10/12.\n33031,2019/10/12,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n33032,2019/10/12,\"I had indian food for lunch with Carter, Emily, Andrew\",\"I had indian food for lunch with Carter, Emily, Andrew\"\n33033,2019/10/12,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n33034,2019/10/12,\"I talked to Nora, Avery, Claire, Hazel for 21 minutes in the morning.\",\"I talked to Nora, Avery, Claire, Hazel for 21 minutes in the morning.\"\n33035,2019/10/12,\"I spent 50 talking to Avery, Kinsley, Claire on various topics during lunch hours.\",\"I spent 50 talking to Avery, Kinsley, Claire on various topics during lunch hours.\"\n33036,2019/10/12,\"I spent 29 talking to Layla, Piper, Hazel on various topics late in the evening.\",\"I spent 29 talking to Layla, Piper, Hazel on various topics late in the evening.\"\n33037,2019/10/12,\"I spent 53 talking to Layla, Olivia, Avery on various topics during lunch hours.\",\"I spent 53 talking to Layla, Olivia, Avery on various topics during lunch hours.\"\n33038,2019/10/12,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n33039,2019/10/12,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n33040,2019/10/13,I did running on 2019/10/13.,I did running on 2019/10/13.\n33041,2019/10/13,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n33042,2019/10/13,I ate sushi for lunch.,I ate sushi for lunch.\n33043,2019/10/13,\"I had dinner with Jackson, Willow, Benjamin. I ate sandwich.\",\"I had dinner with Jackson, Willow, Benjamin. I ate sandwich.\"\n33044,2019/10/13,I talked to Olivia for 25 minutes in the late afternoon.,I talked to Olivia for 25 minutes in the late afternoon.\n33045,2019/10/13,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n33046,2019/10/13,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n33047,2019/10/14,I did weight lifting on 2019/10/14.,I did weight lifting on 2019/10/14.\n33048,2019/10/14,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n33049,2019/10/14,I ate sushi for lunch.,I ate sushi for lunch.\n33050,2019/10/14,I ate pasta for dinner.,I ate pasta for dinner.\n33051,2019/10/14,\"I talked to Rylee, Kinsley, Layla, Olivia for 16 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley, Layla, Olivia for 16 minutes in the early afternoon.\"\n33052,2019/10/14,\"I talked to Olivia, Layla, Claire for 50 minutes in the early afternoon.\",\"I talked to Olivia, Layla, Claire for 50 minutes in the early afternoon.\"\n33053,2019/10/14,I talked to Piper for 19 minutes in the early evening.,I talked to Piper for 19 minutes in the early evening.\n33054,2019/10/14,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n33055,2019/10/14,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n33056,2019/10/15,\"I spent time yoga on 2019/10/15 with Kayden, Carter, Andrew.\",\"I spent time yoga on 2019/10/15 with Kayden, Carter, Andrew.\"\n33057,2019/10/15,\"I bought some pineapples, blackberries, clementines, cherres, apple juice, sports drinks, mouth wash online.\",\"I bought some pineapples, blackberries, clementines, cherres, apple juice, sports drinks, mouth wash online.\"\n33058,2019/10/15,I did running on 2019/10/15.,I did running on 2019/10/15.\n33059,2019/10/15,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n33060,2019/10/15,\"I had lunch with Rylee, Hazel, Eva, Piper, Lydia, Piper, Claire, Layla, Nora, Avery, Kinsley, Nevaeh, Olivia. I ate a burger.\",\"I had lunch with Rylee, Hazel, Eva, Piper, Lydia, Piper, Claire, Layla, Nora, Avery, Kinsley, Nevaeh, Olivia. I ate a burger.\"\n33061,2019/10/15,I had tacos for dinner with Andrew,I had tacos for dinner with Andrew\n33062,2019/10/15,\"I spent 51 talking to Avery, Layla, Piper on various topics in the morning.\",\"I spent 51 talking to Avery, Layla, Piper on various topics in the morning.\"\n33063,2019/10/15,\"I talked to Nevaeh, Layla, Rylee, Hazel for 51 minutes in the morning.\",\"I talked to Nevaeh, Layla, Rylee, Hazel for 51 minutes in the morning.\"\n33064,2019/10/15,I talked to Eva for 48 minutes in the early evening.,I talked to Eva for 48 minutes in the early evening.\n33065,2019/10/15,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n33066,2019/10/15,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n33067,2019/10/16,I did biking on 2019/10/16.,I did biking on 2019/10/16.\n33068,2019/10/16,\"I had peanut-butter-jam for breakfast with Kayden, Emily\",\"I had peanut-butter-jam for breakfast with Kayden, Emily\"\n33069,2019/10/16,\"I had sandwich for lunch with Avery, Kinsley, Piper, Hazel\",\"I had sandwich for lunch with Avery, Kinsley, Piper, Hazel\"\n33070,2019/10/16,I ate chinese food for dinner.,I ate chinese food for dinner.\n33071,2019/10/16,\"I talked to Avery, Nevaeh, Layla for 38 minutes during lunch hours.\",\"I talked to Avery, Nevaeh, Layla for 38 minutes during lunch hours.\"\n33072,2019/10/16,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n33073,2019/10/16,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n33074,2019/10/17,\"I really enjoyed baking brown sugar-pear puff pastries on 2019/10/17 with Andrew, Emily, Carter, Kayden at my place\",\"I really enjoyed baking brown sugar-pear puff pastries on 2019/10/17 with Andrew, Emily, Carter, Kayden at my place\"\n33075,2019/10/17,I did HIIT on 2019/10/17.,I did HIIT on 2019/10/17.\n33076,2019/10/17,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n33077,2019/10/17,\"I had lunch with Benjamin, Avery. I ate chinese food.\",\"I had lunch with Benjamin, Avery. I ate chinese food.\"\n33078,2019/10/17,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n33079,2019/10/17,\"I spent 46 talking to Lydia, Avery on various topics late in the evening.\",\"I spent 46 talking to Lydia, Avery on various topics late in the evening.\"\n33080,2019/10/17,I talked to Olivia for 53 minutes during lunch hours.,I talked to Olivia for 53 minutes during lunch hours.\n33081,2019/10/17,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n33082,2019/10/17,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n33083,2019/10/18,\"I spent time meditation on 2019/10/18 with Kayden, Emily, Carter.\",\"I spent time meditation on 2019/10/18 with Kayden, Emily, Carter.\"\n33084,2019/10/18,I did hiking on 2019/10/18.,I did hiking on 2019/10/18.\n33085,2019/10/18,\"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Andrew, Emily\",\"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Andrew, Emily\"\n33086,2019/10/18,I had pasta for lunch with Emily,I had pasta for lunch with Emily\n33087,2019/10/18,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n33088,2019/10/18,\"I talked to Olivia, Layla, Piper, Hazel for 39 minutes during lunch hours.\",\"I talked to Olivia, Layla, Piper, Hazel for 39 minutes during lunch hours.\"\n33089,2019/10/18,\"I talked to Rylee, Kinsley, Piper, Avery for 19 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley, Piper, Avery for 19 minutes in the early afternoon.\"\n33090,2019/10/18,\"I spent 9 talking to Kinsley, Avery, Lydia, Claire on various topics in the early evening.\",\"I spent 9 talking to Kinsley, Avery, Lydia, Claire on various topics in the early evening.\"\n33091,2019/10/18,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n33092,2019/10/18,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n33093,2019/10/19,I did biking on 2019/10/19.,I did biking on 2019/10/19.\n33094,2019/10/19,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n33095,2019/10/19,\"I had lunch with Emily, Kayden, Carter. I ate tacos.\",\"I had lunch with Emily, Kayden, Carter. I ate tacos.\"\n33096,2019/10/19,\"I had dinner with Avery, Willow, Benjamin, Jackson. I ate steak.\",\"I had dinner with Avery, Willow, Benjamin, Jackson. I ate steak.\"\n33097,2019/10/19,\"I talked to Piper, Kinsley for 19 minutes late in the evening.\",\"I talked to Piper, Kinsley for 19 minutes late in the evening.\"\n33098,2019/10/19,\"I talked to Nora, Lydia, Layla, Avery for 5 minutes in the early evening.\",\"I talked to Nora, Lydia, Layla, Avery for 5 minutes in the early evening.\"\n33099,2019/10/19,I spent 8 talking to Hazel on various topics in the early afternoon.,I spent 8 talking to Hazel on various topics in the early afternoon.\n33100,2019/10/19,\"I talked to Claire, Olivia, Kinsley for 36 minutes in the early evening.\",\"I talked to Claire, Olivia, Kinsley for 36 minutes in the early evening.\"\n33101,2019/10/19,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n33102,2019/10/19,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n33103,2019/10/20,\"On 2019/10/20, I took Mateo on a date to a park\",\"On 2019/10/20, I took Mateo on a date to a park\"\n33104,2019/10/20,\"I bought some strawberries, blueberries, peaches, raspberries, guava juice, orange juice, milk, conditioner, toilet paper online.\",\"I bought some strawberries, blueberries, peaches, raspberries, guava juice, orange juice, milk, conditioner, toilet paper online.\"\n33105,2019/10/20,I did HIIT on 2019/10/20.,I did HIIT on 2019/10/20.\n33106,2019/10/20,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n33107,2019/10/20,I ate indian food for lunch.,I ate indian food for lunch.\n33108,2019/10/20,I had chinese food for dinner with Emily,I had chinese food for dinner with Emily\n33109,2019/10/20,I talked to Nevaeh for 18 minutes during lunch hours.,I talked to Nevaeh for 18 minutes during lunch hours.\n33110,2019/10/20,\"I talked to Olivia, Piper, Avery, Claire for 44 minutes in the early evening.\",\"I talked to Olivia, Piper, Avery, Claire for 44 minutes in the early evening.\"\n33111,2019/10/20,\"I spent 43 talking to Eva, Layla, Nevaeh, Lydia on various topics late in the evening.\",\"I spent 43 talking to Eva, Layla, Nevaeh, Lydia on various topics late in the evening.\"\n33112,2019/10/20,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n33113,2019/10/20,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n33114,2019/10/21,I did HIIT on 2019/10/21.,I did HIIT on 2019/10/21.\n33115,2019/10/21,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n33116,2019/10/21,\"I had steak for lunch with Nevaeh, Claire, Layla, Lydia, Piper, Nora, Olivia, Hazel, Piper, Avery, Eva\",\"I had steak for lunch with Nevaeh, Claire, Layla, Lydia, Piper, Nora, Olivia, Hazel, Piper, Avery, Eva\"\n33117,2019/10/21,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n33118,2019/10/21,I talked to Nevaeh for 38 minutes in the early afternoon.,I talked to Nevaeh for 38 minutes in the early afternoon.\n33119,2019/10/21,I spent 12 talking to Eva on various topics in the early afternoon.,I spent 12 talking to Eva on various topics in the early afternoon.\n33120,2019/10/21,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n33121,2019/10/21,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n33122,2019/10/22,I did running on 2019/10/22.,I did running on 2019/10/22.\n33123,2019/10/22,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n33124,2019/10/22,I had chinese food for lunch with Emily,I had chinese food for lunch with Emily\n33125,2019/10/22,I had dinner. I ate steak.,I had dinner. I ate steak.\n33126,2019/10/22,\"I spent 31 talking to Claire, Piper, Rylee on various topics during lunch hours.\",\"I spent 31 talking to Claire, Piper, Rylee on various topics during lunch hours.\"\n33127,2019/10/22,\"I spent 51 talking to Hazel, Layla, Avery, Eva on various topics during lunch hours.\",\"I spent 51 talking to Hazel, Layla, Avery, Eva on various topics during lunch hours.\"\n33128,2019/10/22,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n33129,2019/10/22,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n33130,2019/10/23,I spent some time gardening on 2019/10/23.,I spent some time gardening on 2019/10/23.\n33131,2019/10/23,\"I bought some bananas, apples, apple juice, mouthwash, body lotion online.\",\"I bought some bananas, apples, apple juice, mouthwash, body lotion online.\"\n33132,2019/10/23,I did running on 2019/10/23.,I did running on 2019/10/23.\n33133,2019/10/23,\"I had pancakes for breakfast with Kayden, Carter, Emily, Andrew\",\"I had pancakes for breakfast with Kayden, Carter, Emily, Andrew\"\n33134,2019/10/23,\"I had lunch with Rylee, Lydia, Avery, Claire, Nevaeh. I ate indian food.\",\"I had lunch with Rylee, Lydia, Avery, Claire, Nevaeh. I ate indian food.\"\n33135,2019/10/23,I prepare steak for dinner.,I prepare steak for dinner.\n33136,2019/10/23,\"I spent 37 talking to Lydia, Eva, Olivia, Rylee on various topics in the morning.\",\"I spent 37 talking to Lydia, Eva, Olivia, Rylee on various topics in the morning.\"\n33137,2019/10/23,\"I talked to Avery, Lydia for 46 minutes in the early afternoon.\",\"I talked to Avery, Lydia for 46 minutes in the early afternoon.\"\n33138,2019/10/23,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n33139,2019/10/23,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n33140,2019/10/24,I did swimming on 2019/10/24.,I did swimming on 2019/10/24.\n33141,2019/10/24,\"I had breakfast with Benjamin, Jackson, Avery, Willow. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Jackson, Avery, Willow. I ate peanut-butter-jam.\"\n33142,2019/10/24,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n33143,2019/10/24,I prepare pasta for dinner.,I prepare pasta for dinner.\n33144,2019/10/24,\"I spent 26 talking to Hazel, Olivia on various topics in the morning.\",\"I spent 26 talking to Hazel, Olivia on various topics in the morning.\"\n33145,2019/10/24,\"I spent 44 talking to Lydia, Rylee on various topics in the early evening.\",\"I spent 44 talking to Lydia, Rylee on various topics in the early evening.\"\n33146,2019/10/24,\"I talked to Piper, Olivia, Piper for 39 minutes in the early evening.\",\"I talked to Piper, Olivia, Piper for 39 minutes in the early evening.\"\n33147,2019/10/24,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n33148,2019/10/24,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n33149,2019/10/25,\"I bought some peaches, cherres, pineapples, pineapple juice, apple juice, shaving cream, facial wash, shampoo, mouth wash online.\",\"I bought some peaches, cherres, pineapples, pineapple juice, apple juice, shaving cream, facial wash, shampoo, mouth wash online.\"\n33150,2019/10/25,I did swimming on 2019/10/25.,I did swimming on 2019/10/25.\n33151,2019/10/25,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n33152,2019/10/25,\"I had tacos for lunch with Carter, Kayden, Emily, Andrew\",\"I had tacos for lunch with Carter, Kayden, Emily, Andrew\"\n33153,2019/10/25,\"I had dinner with Willow, Jackson. I ate chinese food.\",\"I had dinner with Willow, Jackson. I ate chinese food.\"\n33154,2019/10/25,\"I talked to Kinsley, Nora, Avery for 23 minutes in the late afternoon.\",\"I talked to Kinsley, Nora, Avery for 23 minutes in the late afternoon.\"\n33155,2019/10/25,\"I talked to Piper, Nora, Claire for 36 minutes in the late afternoon.\",\"I talked to Piper, Nora, Claire for 36 minutes in the late afternoon.\"\n33156,2019/10/25,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n33157,2019/10/25,I watched a tv series for 51 minutes on TV today.,I watched a tv series for 51 minutes on TV today.\n33158,2019/10/26,I did weight lifting on 2019/10/26.,I did weight lifting on 2019/10/26.\n33159,2019/10/26,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n33160,2019/10/26,\"I had lunch with Emily, Andrew, Kayden, Carter. I ate sushi.\",\"I had lunch with Emily, Andrew, Kayden, Carter. I ate sushi.\"\n33161,2019/10/26,\"I had a burger for dinner with Andrew, Kayden\",\"I had a burger for dinner with Andrew, Kayden\"\n33162,2019/10/26,I talked to Hazel for 38 minutes late in the evening.,I talked to Hazel for 38 minutes late in the evening.\n33163,2019/10/26,\"I talked to Avery, Layla for 18 minutes in the morning.\",\"I talked to Avery, Layla for 18 minutes in the morning.\"\n33164,2019/10/26,\"I spent 22 talking to Piper, Piper, Nevaeh, Nora on various topics in the early afternoon.\",\"I spent 22 talking to Piper, Piper, Nevaeh, Nora on various topics in the early afternoon.\"\n33165,2019/10/26,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n33166,2019/10/26,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n33167,2019/10/27,\"On 2019/10/27, I took Zoe on a date to a park\",\"On 2019/10/27, I took Zoe on a date to a park\"\n33168,2019/10/27,I did running on 2019/10/27.,I did running on 2019/10/27.\n33169,2019/10/27,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n33170,2019/10/27,I ate chinese food for lunch.,I ate chinese food for lunch.\n33171,2019/10/27,\"I had dinner with Emily, Carter, Andrew. I ate indian food.\",\"I had dinner with Emily, Carter, Andrew. I ate indian food.\"\n33172,2019/10/27,I spent 24 talking to Rylee on various topics during lunch hours.,I spent 24 talking to Rylee on various topics during lunch hours.\n33173,2019/10/27,\"I talked to Lydia, Avery for 16 minutes in the early afternoon.\",\"I talked to Lydia, Avery for 16 minutes in the early afternoon.\"\n33174,2019/10/27,\"I spent 48 talking to Kinsley, Piper on various topics in the morning.\",\"I spent 48 talking to Kinsley, Piper on various topics in the morning.\"\n33175,2019/10/27,\"I talked to Rylee, Claire, Kinsley for 18 minutes in the morning.\",\"I talked to Rylee, Claire, Kinsley for 18 minutes in the morning.\"\n33176,2019/10/27,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n33177,2019/10/27,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n33178,2019/10/28,I did biking on 2019/10/28.,I did biking on 2019/10/28.\n33179,2019/10/28,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n33180,2019/10/28,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n33181,2019/10/28,\"I had sandwich for dinner with Andrew, Kayden, Emily, Carter\",\"I had sandwich for dinner with Andrew, Kayden, Emily, Carter\"\n33182,2019/10/28,\"I spent 51 talking to Piper, Rylee on various topics late in the evening.\",\"I spent 51 talking to Piper, Rylee on various topics late in the evening.\"\n33183,2019/10/28,\"I talked to Hazel, Avery, Nevaeh for 26 minutes in the early evening.\",\"I talked to Hazel, Avery, Nevaeh for 26 minutes in the early evening.\"\n33184,2019/10/28,\"I spent 21 talking to Lydia, Rylee, Kinsley, Piper on various topics in the morning.\",\"I spent 21 talking to Lydia, Rylee, Kinsley, Piper on various topics in the morning.\"\n33185,2019/10/28,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n33186,2019/10/28,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n33187,2019/10/29,I did running on 2019/10/29.,I did running on 2019/10/29.\n33188,2019/10/29,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n33189,2019/10/29,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n33190,2019/10/29,I ate indian food for dinner.,I ate indian food for dinner.\n33191,2019/10/29,\"I talked to Layla, Hazel, Rylee for 35 minutes in the morning.\",\"I talked to Layla, Hazel, Rylee for 35 minutes in the morning.\"\n33192,2019/10/29,I spent 52 talking to Layla on various topics during lunch hours.,I spent 52 talking to Layla on various topics during lunch hours.\n33193,2019/10/29,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n33194,2019/10/29,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n33195,2019/10/30,I did weight lifting on 2019/10/30.,I did weight lifting on 2019/10/30.\n33196,2019/10/30,\"I had breakfast with Olivia, Nora. I ate toast and cheese.\",\"I had breakfast with Olivia, Nora. I ate toast and cheese.\"\n33197,2019/10/30,I ate a burger for lunch.,I ate a burger for lunch.\n33198,2019/10/30,\"I had dinner with Emily, Andrew, Carter. I ate steak.\",\"I had dinner with Emily, Andrew, Carter. I ate steak.\"\n33199,2019/10/30,\"I talked to Nevaeh, Avery, Piper for 14 minutes in the late afternoon.\",\"I talked to Nevaeh, Avery, Piper for 14 minutes in the late afternoon.\"\n33200,2019/10/30,I talked to Piper for 33 minutes in the early afternoon.,I talked to Piper for 33 minutes in the early afternoon.\n33201,2019/10/30,I spent 41 talking to Nevaeh on various topics in the morning.,I spent 41 talking to Nevaeh on various topics in the morning.\n33202,2019/10/30,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n33203,2019/10/30,I watched a documentary for 46 minutes on TV today.,I watched a documentary for 46 minutes on TV today.\n33204,2019/10/31,\"I went grocery shopping. I bought some guava, pears, clementines, mango juice, soda, guava juice, pineapple juice, and facial wash, paper towel\",\"I went grocery shopping. I bought some guava, pears, clementines, mango juice, soda, guava juice, pineapple juice, and facial wash, paper towel\"\n33205,2019/10/31,I did biking on 2019/10/31.,I did biking on 2019/10/31.\n33206,2019/10/31,\"I had breakfast with Olivia. I ate eggs, sausages, and bread.\",\"I had breakfast with Olivia. I ate eggs, sausages, and bread.\"\n33207,2019/10/31,I ate steak for lunch.,I ate steak for lunch.\n33208,2019/10/31,\"I had sushi for dinner with Andrew, Emily, Carter\",\"I had sushi for dinner with Andrew, Emily, Carter\"\n33209,2019/10/31,\"I talked to Nevaeh, Rylee, Avery, Piper for 14 minutes in the early afternoon.\",\"I talked to Nevaeh, Rylee, Avery, Piper for 14 minutes in the early afternoon.\"\n33210,2019/10/31,\"I spent 17 talking to Olivia, Nevaeh, Kinsley, Nora on various topics in the early afternoon.\",\"I spent 17 talking to Olivia, Nevaeh, Kinsley, Nora on various topics in the early afternoon.\"\n33211,2019/10/31,I spent 36 talking to Layla on various topics in the early afternoon.,I spent 36 talking to Layla on various topics in the early afternoon.\n33212,2019/10/31,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n33213,2019/10/31,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n33214,2019/11/01,I did hiking on 2019/11/01.,I did hiking on 2019/11/01.\n33215,2019/11/01,I had oatmeal for breakfast with Kayden,I had oatmeal for breakfast with Kayden\n33216,2019/11/01,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n33217,2019/11/01,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n33218,2019/11/01,\"I talked to Rylee, Claire, Eva, Layla for 42 minutes in the early evening.\",\"I talked to Rylee, Claire, Eva, Layla for 42 minutes in the early evening.\"\n33219,2019/11/01,I talked to Nora for 16 minutes in the early afternoon.,I talked to Nora for 16 minutes in the early afternoon.\n33220,2019/11/01,\"I spent 32 talking to Nora, Lydia, Piper, Piper on various topics in the early evening.\",\"I spent 32 talking to Nora, Lydia, Piper, Piper on various topics in the early evening.\"\n33221,2019/11/01,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n33222,2019/11/01,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n33223,2019/11/02,I did weight lifting on 2019/11/02.,I did weight lifting on 2019/11/02.\n33224,2019/11/02,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n33225,2019/11/02,I had tacos for lunch with Benjamin,I had tacos for lunch with Benjamin\n33226,2019/11/02,\"I had dinner with Layla, Piper, Lydia, Nevaeh. I ate sushi.\",\"I had dinner with Layla, Piper, Lydia, Nevaeh. I ate sushi.\"\n33227,2019/11/02,\"I talked to Piper, Piper, Hazel for 21 minutes during lunch hours.\",\"I talked to Piper, Piper, Hazel for 21 minutes during lunch hours.\"\n33228,2019/11/02,\"I spent 28 talking to Piper, Nevaeh, Rylee on various topics in the morning.\",\"I spent 28 talking to Piper, Nevaeh, Rylee on various topics in the morning.\"\n33229,2019/11/02,\"I spent 39 talking to Nevaeh, Eva, Layla on various topics in the early evening.\",\"I spent 39 talking to Nevaeh, Eva, Layla on various topics in the early evening.\"\n33230,2019/11/02,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n33231,2019/11/02,I watched news for 13 minutes on TV today.,I watched news for 13 minutes on TV today.\n33232,2019/11/03,I did swimming on 2019/11/03.,I did swimming on 2019/11/03.\n33233,2019/11/03,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n33234,2019/11/03,\"I had sushi for lunch with Olivia, Layla, Avery, Piper, Rylee, Claire, Eva, Lydia, Nevaeh\",\"I had sushi for lunch with Olivia, Layla, Avery, Piper, Rylee, Claire, Eva, Lydia, Nevaeh\"\n33235,2019/11/03,I prepare sushi for dinner.,I prepare sushi for dinner.\n33236,2019/11/03,I talked to Kinsley for 24 minutes during lunch hours.,I talked to Kinsley for 24 minutes during lunch hours.\n33237,2019/11/03,\"I talked to Claire, Olivia, Hazel for 49 minutes in the early evening.\",\"I talked to Claire, Olivia, Hazel for 49 minutes in the early evening.\"\n33238,2019/11/03,\"I spent 53 talking to Rylee, Kinsley, Nevaeh on various topics in the early afternoon.\",\"I spent 53 talking to Rylee, Kinsley, Nevaeh on various topics in the early afternoon.\"\n33239,2019/11/03,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n33240,2019/11/03,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n33241,2019/11/04,\"I went grocery shopping with Andrew, Carter. I bought some watermelons, apricots, chocolate milk, guava juice, pineapple juice, and paper towel, facial wash, toilet paper, mouth wash\",\"I went grocery shopping with Andrew, Carter. I bought some watermelons, apricots, chocolate milk, guava juice, pineapple juice, and paper towel, facial wash, toilet paper, mouth wash\"\n33242,2019/11/04,I did hiking on 2019/11/04.,I did hiking on 2019/11/04.\n33243,2019/11/04,\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Emily\",\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Emily\"\n33244,2019/11/04,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n33245,2019/11/04,\"I had pasta for dinner with Nora, Eva, Piper, Layla, Hazel, Nevaeh, Piper, Kinsley, Olivia, Avery\",\"I had pasta for dinner with Nora, Eva, Piper, Layla, Hazel, Nevaeh, Piper, Kinsley, Olivia, Avery\"\n33246,2019/11/04,\"I talked to Hazel, Eva for 46 minutes in the late afternoon.\",\"I talked to Hazel, Eva for 46 minutes in the late afternoon.\"\n33247,2019/11/04,I spent 23 talking to Avery on various topics in the early afternoon.,I spent 23 talking to Avery on various topics in the early afternoon.\n33248,2019/11/04,\"I spent 34 talking to Rylee, Hazel on various topics in the early evening.\",\"I spent 34 talking to Rylee, Hazel on various topics in the early evening.\"\n33249,2019/11/04,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n33250,2019/11/04,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n33251,2019/11/05,\"On 2019/11/05, I took James on a date to a coffee Shop\",\"On 2019/11/05, I took James on a date to a coffee Shop\"\n33252,2019/11/05,I did weight lifting on 2019/11/05.,I did weight lifting on 2019/11/05.\n33253,2019/11/05,\"I had breakfast with Emily, Andrew, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew, Kayden. I ate peanut-butter-jam.\"\n33254,2019/11/05,I prepare tacos for lunch.,I prepare tacos for lunch.\n33255,2019/11/05,\"I had pasta for dinner with Willow, Jackson, Avery, Benjamin\",\"I had pasta for dinner with Willow, Jackson, Avery, Benjamin\"\n33256,2019/11/05,\"I spent 39 talking to Rylee, Layla on various topics in the late afternoon.\",\"I spent 39 talking to Rylee, Layla on various topics in the late afternoon.\"\n33257,2019/11/05,\"I talked to Nevaeh, Layla for 24 minutes in the morning.\",\"I talked to Nevaeh, Layla for 24 minutes in the morning.\"\n33258,2019/11/05,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n33259,2019/11/05,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n33260,2019/11/06,I did running on 2019/11/06.,I did running on 2019/11/06.\n33261,2019/11/06,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n33262,2019/11/06,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n33263,2019/11/06,I had dinner. I ate steak.,I had dinner. I ate steak.\n33264,2019/11/06,\"I spent 13 talking to Avery, Eva, Piper on various topics during lunch hours.\",\"I spent 13 talking to Avery, Eva, Piper on various topics during lunch hours.\"\n33265,2019/11/06,\"I spent 11 talking to Olivia, Lydia on various topics during lunch hours.\",\"I spent 11 talking to Olivia, Lydia on various topics during lunch hours.\"\n33266,2019/11/06,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n33267,2019/11/06,I spent 29 minutes watching a movie on TV today.,I spent 29 minutes watching a movie on TV today.\n33268,2019/11/07,I did running on 2019/11/07.,I did running on 2019/11/07.\n33269,2019/11/07,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n33270,2019/11/07,I prepare a burger for lunch.,I prepare a burger for lunch.\n33271,2019/11/07,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n33272,2019/11/07,I spent 27 talking to Olivia on various topics in the early evening.,I spent 27 talking to Olivia on various topics in the early evening.\n33273,2019/11/07,\"I talked to Nevaeh, Olivia, Rylee for 44 minutes in the early afternoon.\",\"I talked to Nevaeh, Olivia, Rylee for 44 minutes in the early afternoon.\"\n33274,2019/11/07,I spent 53 talking to Piper on various topics in the early afternoon.,I spent 53 talking to Piper on various topics in the early afternoon.\n33275,2019/11/07,I talked to Olivia for 24 minutes in the early afternoon.,I talked to Olivia for 24 minutes in the early afternoon.\n33276,2019/11/07,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n33277,2019/11/07,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n33278,2019/11/08,I did HIIT on 2019/11/08.,I did HIIT on 2019/11/08.\n33279,2019/11/08,\"I had eggs, sausages, and bread for breakfast with Benjamin, Avery\",\"I had eggs, sausages, and bread for breakfast with Benjamin, Avery\"\n33280,2019/11/08,\"I had lunch with Avery, Willow, Jackson, Benjamin. I ate indian food.\",\"I had lunch with Avery, Willow, Jackson, Benjamin. I ate indian food.\"\n33281,2019/11/08,\"I had dinner with Piper, Eva, Rylee, Avery, Claire, Nevaeh, Kinsley, Layla, Olivia, Lydia, Piper. I ate indian food.\",\"I had dinner with Piper, Eva, Rylee, Avery, Claire, Nevaeh, Kinsley, Layla, Olivia, Lydia, Piper. I ate indian food.\"\n33282,2019/11/08,\"I talked to Kinsley, Piper for 29 minutes late in the evening.\",\"I talked to Kinsley, Piper for 29 minutes late in the evening.\"\n33283,2019/11/08,I talked to Hazel for 21 minutes in the morning.,I talked to Hazel for 21 minutes in the morning.\n33284,2019/11/08,\"I spent 21 talking to Eva, Lydia on various topics in the late afternoon.\",\"I spent 21 talking to Eva, Lydia on various topics in the late afternoon.\"\n33285,2019/11/08,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n33286,2019/11/08,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n33287,2019/11/09,\"On 2019/11/09, I took Ruby on a date to a park\",\"On 2019/11/09, I took Ruby on a date to a park\"\n33288,2019/11/09,I did swimming on 2019/11/09.,I did swimming on 2019/11/09.\n33289,2019/11/09,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n33290,2019/11/09,\"I had lunch with Kayden, Carter, Emily, Andrew. I ate tacos.\",\"I had lunch with Kayden, Carter, Emily, Andrew. I ate tacos.\"\n33291,2019/11/09,I had a burger for dinner with Emily,I had a burger for dinner with Emily\n33292,2019/11/09,\"I spent 36 talking to Rylee, Claire, Layla, Hazel on various topics in the late afternoon.\",\"I spent 36 talking to Rylee, Claire, Layla, Hazel on various topics in the late afternoon.\"\n33293,2019/11/09,\"I spent 38 talking to Hazel, Lydia on various topics during lunch hours.\",\"I spent 38 talking to Hazel, Lydia on various topics during lunch hours.\"\n33294,2019/11/09,I spent 9 talking to Piper on various topics during lunch hours.,I spent 9 talking to Piper on various topics during lunch hours.\n33295,2019/11/09,I spent 27 minutes on social media today.,I spent 27 minutes on social media today.\n33296,2019/11/09,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n33297,2019/11/10,\"I was cooking chinese broccoli with oyster sauce on 2019/11/10 with Willow, Jackson, Benjamin, Avery at my place\",\"I was cooking chinese broccoli with oyster sauce on 2019/11/10 with Willow, Jackson, Benjamin, Avery at my place\"\n33298,2019/11/10,\"I bought some strawberries, nectarines, guava, cherres, milk, mineral water, guava juice, coffee, toothbrush, facial wash, shampoo, mouth wash online.\",\"I bought some strawberries, nectarines, guava, cherres, milk, mineral water, guava juice, coffee, toothbrush, facial wash, shampoo, mouth wash online.\"\n33299,2019/11/10,I did hiking on 2019/11/10.,I did hiking on 2019/11/10.\n33300,2019/11/10,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n33301,2019/11/10,I prepare sushi for lunch.,I prepare sushi for lunch.\n33302,2019/11/10,\"I had chinese food for dinner with Piper, Lydia, Olivia, Nora, Hazel, Avery, Piper, Rylee, Claire, Layla, Kinsley\",\"I had chinese food for dinner with Piper, Lydia, Olivia, Nora, Hazel, Avery, Piper, Rylee, Claire, Layla, Kinsley\"\n33303,2019/11/10,I spent 22 talking to Olivia on various topics during lunch hours.,I spent 22 talking to Olivia on various topics during lunch hours.\n33304,2019/11/10,\"I spent 36 talking to Nevaeh, Olivia on various topics in the early afternoon.\",\"I spent 36 talking to Nevaeh, Olivia on various topics in the early afternoon.\"\n33305,2019/11/10,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n33306,2019/11/10,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n33307,2019/11/11,I did swimming on 2019/11/11.,I did swimming on 2019/11/11.\n33308,2019/11/11,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n33309,2019/11/11,\"I had chinese food for lunch with Avery, Jackson\",\"I had chinese food for lunch with Avery, Jackson\"\n33310,2019/11/11,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n33311,2019/11/11,\"I talked to Olivia, Piper, Layla for 41 minutes in the early afternoon.\",\"I talked to Olivia, Piper, Layla for 41 minutes in the early afternoon.\"\n33312,2019/11/11,I talked to Piper for 50 minutes during lunch hours.,I talked to Piper for 50 minutes during lunch hours.\n33313,2019/11/11,\"I talked to Claire, Avery for 31 minutes in the early afternoon.\",\"I talked to Claire, Avery for 31 minutes in the early afternoon.\"\n33314,2019/11/11,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n33315,2019/11/11,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n33316,2019/11/12,I really enjoyed meditation on 2019/11/12,I really enjoyed meditation on 2019/11/12\n33317,2019/11/12,I did running on 2019/11/12.,I did running on 2019/11/12.\n33318,2019/11/12,\"I had peanut-butter-jam for breakfast with Kinsley, Eva, Layla, Piper, Olivia, Nevaeh, Avery, Rylee, Piper, Nora\",\"I had peanut-butter-jam for breakfast with Kinsley, Eva, Layla, Piper, Olivia, Nevaeh, Avery, Rylee, Piper, Nora\"\n33319,2019/11/12,\"I had lunch with Carter, Andrew. I ate steak.\",\"I had lunch with Carter, Andrew. I ate steak.\"\n33320,2019/11/12,I had dinner. I ate steak.,I had dinner. I ate steak.\n33321,2019/11/12,\"I talked to Piper, Claire, Olivia, Nora for 52 minutes in the early afternoon.\",\"I talked to Piper, Claire, Olivia, Nora for 52 minutes in the early afternoon.\"\n33322,2019/11/12,I talked to Avery for 36 minutes during lunch hours.,I talked to Avery for 36 minutes during lunch hours.\n33323,2019/11/12,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n33324,2019/11/12,I watched a tv series for 16 minutes on TV today.,I watched a tv series for 16 minutes on TV today.\n33325,2019/11/13,I did swimming on 2019/11/13.,I did swimming on 2019/11/13.\n33326,2019/11/13,\"I had eggs, sausages, and bread for breakfast with Avery, Jackson, Benjamin\",\"I had eggs, sausages, and bread for breakfast with Avery, Jackson, Benjamin\"\n33327,2019/11/13,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n33328,2019/11/13,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n33329,2019/11/13,I spent 13 talking to Piper on various topics in the late afternoon.,I spent 13 talking to Piper on various topics in the late afternoon.\n33330,2019/11/13,\"I talked to Nora, Eva, Lydia, Nevaeh for 22 minutes in the early afternoon.\",\"I talked to Nora, Eva, Lydia, Nevaeh for 22 minutes in the early afternoon.\"\n33331,2019/11/13,I talked to Hazel for 16 minutes late in the evening.,I talked to Hazel for 16 minutes late in the evening.\n33332,2019/11/13,\"I talked to Nora, Olivia, Piper, Avery for 13 minutes in the morning.\",\"I talked to Nora, Olivia, Piper, Avery for 13 minutes in the morning.\"\n33333,2019/11/13,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n33334,2019/11/13,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n33335,2019/11/14,\"I went grocery shopping with Olivia, Piper. I bought some pears, apples, soda, apple juice, and paper towel, toothbrush, mouth wash, facial wash\",\"I went grocery shopping with Olivia, Piper. I bought some pears, apples, soda, apple juice, and paper towel, toothbrush, mouth wash, facial wash\"\n33336,2019/11/14,I did biking on 2019/11/14.,I did biking on 2019/11/14.\n33337,2019/11/14,\"I had eggs, sausages, and bread for breakfast with Piper, Nevaeh, Nora, Avery\",\"I had eggs, sausages, and bread for breakfast with Piper, Nevaeh, Nora, Avery\"\n33338,2019/11/14,I prepare a burger for lunch.,I prepare a burger for lunch.\n33339,2019/11/14,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n33340,2019/11/14,\"I spent 17 talking to Piper, Olivia on various topics late in the evening.\",\"I spent 17 talking to Piper, Olivia on various topics late in the evening.\"\n33341,2019/11/14,\"I talked to Piper, Hazel, Eva for 33 minutes in the early evening.\",\"I talked to Piper, Hazel, Eva for 33 minutes in the early evening.\"\n33342,2019/11/14,\"I talked to Piper, Lydia, Eva for 16 minutes late in the evening.\",\"I talked to Piper, Lydia, Eva for 16 minutes late in the evening.\"\n33343,2019/11/14,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n33344,2019/11/14,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n33345,2019/11/15,\"On 2019/11/15, I took Isla on a date to a park\",\"On 2019/11/15, I took Isla on a date to a park\"\n33346,2019/11/15,I did swimming on 2019/11/15.,I did swimming on 2019/11/15.\n33347,2019/11/15,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n33348,2019/11/15,\"I had chinese food for lunch with Willow, Benjamin, Avery\",\"I had chinese food for lunch with Willow, Benjamin, Avery\"\n33349,2019/11/15,\"I had pasta for dinner with Carter, Emily\",\"I had pasta for dinner with Carter, Emily\"\n33350,2019/11/15,I talked to Piper for 53 minutes late in the evening.,I talked to Piper for 53 minutes late in the evening.\n33351,2019/11/15,I talked to Eva for 52 minutes in the late afternoon.,I talked to Eva for 52 minutes in the late afternoon.\n33352,2019/11/15,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n33353,2019/11/15,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n33354,2019/11/16,I did HIIT on 2019/11/16.,I did HIIT on 2019/11/16.\n33355,2019/11/16,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n33356,2019/11/16,\"I had tacos for lunch with Layla, Piper, Avery, Eva, Hazel, Rylee\",\"I had tacos for lunch with Layla, Piper, Avery, Eva, Hazel, Rylee\"\n33357,2019/11/16,\"I had dinner with Willow, Avery, Benjamin, Jackson. I ate chinese food.\",\"I had dinner with Willow, Avery, Benjamin, Jackson. I ate chinese food.\"\n33358,2019/11/16,\"I spent 46 talking to Layla, Piper, Avery, Hazel on various topics in the morning.\",\"I spent 46 talking to Layla, Piper, Avery, Hazel on various topics in the morning.\"\n33359,2019/11/16,\"I spent 5 talking to Rylee, Nevaeh, Layla, Kinsley on various topics during lunch hours.\",\"I spent 5 talking to Rylee, Nevaeh, Layla, Kinsley on various topics during lunch hours.\"\n33360,2019/11/16,\"I talked to Hazel, Rylee, Layla for 55 minutes in the early afternoon.\",\"I talked to Hazel, Rylee, Layla for 55 minutes in the early afternoon.\"\n33361,2019/11/16,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n33362,2019/11/16,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n33363,2019/11/17,I was baking brownies on 2019/11/17 with Carter at my place,I was baking brownies on 2019/11/17 with Carter at my place\n33364,2019/11/17,\"I went grocery shopping. I bought some mandarins, mangos, nectarines, apricots, coffee, mineral water, soda, guava juice, and toothpaste, mouthwash, conditioner, mouth wash\",\"I went grocery shopping. I bought some mandarins, mangos, nectarines, apricots, coffee, mineral water, soda, guava juice, and toothpaste, mouthwash, conditioner, mouth wash\"\n33365,2019/11/17,I did weight lifting on 2019/11/17.,I did weight lifting on 2019/11/17.\n33366,2019/11/17,\"I had breakfast with Nevaeh, Rylee, Piper, Hazel, Piper. I ate oatmeal.\",\"I had breakfast with Nevaeh, Rylee, Piper, Hazel, Piper. I ate oatmeal.\"\n33367,2019/11/17,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n33368,2019/11/17,\"I had dinner with Kayden, Carter. I ate sandwich.\",\"I had dinner with Kayden, Carter. I ate sandwich.\"\n33369,2019/11/17,I talked to Olivia for 21 minutes in the early afternoon.,I talked to Olivia for 21 minutes in the early afternoon.\n33370,2019/11/17,\"I talked to Olivia, Layla for 47 minutes in the morning.\",\"I talked to Olivia, Layla for 47 minutes in the morning.\"\n33371,2019/11/17,I talked to Layla for 32 minutes late in the evening.,I talked to Layla for 32 minutes late in the evening.\n33372,2019/11/17,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n33373,2019/11/17,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n33374,2019/11/18,I did biking on 2019/11/18.,I did biking on 2019/11/18.\n33375,2019/11/18,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n33376,2019/11/18,\"I had indian food for lunch with Kayden, Emily\",\"I had indian food for lunch with Kayden, Emily\"\n33377,2019/11/18,\"I had dinner with Emily, Andrew. I ate a burger.\",\"I had dinner with Emily, Andrew. I ate a burger.\"\n33378,2019/11/18,\"I talked to Nora, Nevaeh, Lydia, Kinsley for 26 minutes late in the evening.\",\"I talked to Nora, Nevaeh, Lydia, Kinsley for 26 minutes late in the evening.\"\n33379,2019/11/18,\"I talked to Kinsley, Claire, Eva, Rylee for 19 minutes in the early evening.\",\"I talked to Kinsley, Claire, Eva, Rylee for 19 minutes in the early evening.\"\n33380,2019/11/18,\"I spent 49 talking to Lydia, Nevaeh, Nora, Rylee on various topics in the late afternoon.\",\"I spent 49 talking to Lydia, Nevaeh, Nora, Rylee on various topics in the late afternoon.\"\n33381,2019/11/18,\"I talked to Lydia, Claire, Piper for 21 minutes in the early evening.\",\"I talked to Lydia, Claire, Piper for 21 minutes in the early evening.\"\n33382,2019/11/18,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n33383,2019/11/18,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n33384,2019/11/19,\"I entertained Olivia, Avery, Claire, Nora at my place on 2019/11/19 and cook turkey shepherd’s pie\",\"I entertained Olivia, Avery, Claire, Nora at my place on 2019/11/19 and cook turkey shepherd’s pie\"\n33385,2019/11/19,I did swimming on 2019/11/19.,I did swimming on 2019/11/19.\n33386,2019/11/19,\"I had breakfast with Jackson, Willow, Avery, Benjamin. I ate toast and cheese.\",\"I had breakfast with Jackson, Willow, Avery, Benjamin. I ate toast and cheese.\"\n33387,2019/11/19,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n33388,2019/11/19,I ate chinese food for dinner.,I ate chinese food for dinner.\n33389,2019/11/19,I spent 40 talking to Layla on various topics in the early evening.,I spent 40 talking to Layla on various topics in the early evening.\n33390,2019/11/19,I talked to Avery for 15 minutes during lunch hours.,I talked to Avery for 15 minutes during lunch hours.\n33391,2019/11/19,I talked to Nora for 43 minutes in the early evening.,I talked to Nora for 43 minutes in the early evening.\n33392,2019/11/19,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n33393,2019/11/19,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n33394,2019/11/20,\"On 2019/11/20, I took Jack on a date to a restaurant\",\"On 2019/11/20, I took Jack on a date to a restaurant\"\n33395,2019/11/20,I did running on 2019/11/20.,I did running on 2019/11/20.\n33396,2019/11/20,\"I had eggs, sausages, and bread for breakfast with Willow\",\"I had eggs, sausages, and bread for breakfast with Willow\"\n33397,2019/11/20,I ate sushi for lunch.,I ate sushi for lunch.\n33398,2019/11/20,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n33399,2019/11/20,I spent 9 talking to Kinsley on various topics in the early afternoon.,I spent 9 talking to Kinsley on various topics in the early afternoon.\n33400,2019/11/20,\"I spent 15 talking to Avery, Claire, Kinsley on various topics in the late afternoon.\",\"I spent 15 talking to Avery, Claire, Kinsley on various topics in the late afternoon.\"\n33401,2019/11/20,I spent 40 talking to Eva on various topics during lunch hours.,I spent 40 talking to Eva on various topics during lunch hours.\n33402,2019/11/20,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n33403,2019/11/20,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n33404,2019/11/21,I did swimming on 2019/11/21.,I did swimming on 2019/11/21.\n33405,2019/11/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n33406,2019/11/21,\"I had lunch with Nevaeh, Layla, Hazel, Piper, Piper, Olivia, Rylee, Claire, Avery, Kinsley, Lydia. I ate chinese food.\",\"I had lunch with Nevaeh, Layla, Hazel, Piper, Piper, Olivia, Rylee, Claire, Avery, Kinsley, Lydia. I ate chinese food.\"\n33407,2019/11/21,I had fish and chips for dinner with Emily,I had fish and chips for dinner with Emily\n33408,2019/11/21,I talked to Nora for 23 minutes in the early evening.,I talked to Nora for 23 minutes in the early evening.\n33409,2019/11/21,I spent 43 talking to Claire on various topics in the early evening.,I spent 43 talking to Claire on various topics in the early evening.\n33410,2019/11/21,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n33411,2019/11/21,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n33412,2019/11/22,I did hiking on 2019/11/22.,I did hiking on 2019/11/22.\n33413,2019/11/22,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n33414,2019/11/22,\"I had fish and chips for lunch with Avery, Nora, Nevaeh, Olivia, Kinsley, Eva, Hazel, Piper, Lydia\",\"I had fish and chips for lunch with Avery, Nora, Nevaeh, Olivia, Kinsley, Eva, Hazel, Piper, Lydia\"\n33415,2019/11/22,I ate pasta for dinner.,I ate pasta for dinner.\n33416,2019/11/22,\"I spent 25 talking to Lydia, Hazel, Kinsley on various topics in the early afternoon.\",\"I spent 25 talking to Lydia, Hazel, Kinsley on various topics in the early afternoon.\"\n33417,2019/11/22,I spent 33 talking to Hazel on various topics in the late afternoon.,I spent 33 talking to Hazel on various topics in the late afternoon.\n33418,2019/11/22,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n33419,2019/11/22,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n33420,2019/11/23,\"I went grocery shopping with Willow, Jackson, Benjamin, Avery. I bought some bananas, blueberries, chocolate milk, sports drinks, mineral water, soda, and paper towel\",\"I went grocery shopping with Willow, Jackson, Benjamin, Avery. I bought some bananas, blueberries, chocolate milk, sports drinks, mineral water, soda, and paper towel\"\n33421,2019/11/23,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n33422,2019/11/23,I prepare pasta for lunch.,I prepare pasta for lunch.\n33423,2019/11/23,I had dinner. I ate steak.,I had dinner. I ate steak.\n33424,2019/11/23,\"I talked to Nora, Eva, Layla, Hazel for 19 minutes in the morning.\",\"I talked to Nora, Eva, Layla, Hazel for 19 minutes in the morning.\"\n33425,2019/11/23,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n33426,2019/11/23,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n33427,2019/11/24,\"On 2019/11/24, I took Noah on a date to a park\",\"On 2019/11/24, I took Noah on a date to a park\"\n33428,2019/11/24,I did HIIT on 2019/11/24.,I did HIIT on 2019/11/24.\n33429,2019/11/24,\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate eggs, sausages, and bread.\"\n33430,2019/11/24,\"I had lunch with Emily, Carter, Kayden, Andrew. I ate pasta.\",\"I had lunch with Emily, Carter, Kayden, Andrew. I ate pasta.\"\n33431,2019/11/24,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n33432,2019/11/24,I spent 27 talking to Layla on various topics in the early afternoon.,I spent 27 talking to Layla on various topics in the early afternoon.\n33433,2019/11/24,\"I talked to Nora, Hazel, Eva for 47 minutes in the morning.\",\"I talked to Nora, Hazel, Eva for 47 minutes in the morning.\"\n33434,2019/11/24,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n33435,2019/11/24,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n33436,2019/11/25,I spent some time working out on 2019/11/25.,I spent some time working out on 2019/11/25.\n33437,2019/11/25,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n33438,2019/11/25,\"I had tacos for lunch with Avery, Jackson\",\"I had tacos for lunch with Avery, Jackson\"\n33439,2019/11/25,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n33440,2019/11/25,\"I spent 6 talking to Layla, Piper, Rylee, Avery on various topics during lunch hours.\",\"I spent 6 talking to Layla, Piper, Rylee, Avery on various topics during lunch hours.\"\n33441,2019/11/25,I spent 19 talking to Hazel on various topics in the early evening.,I spent 19 talking to Hazel on various topics in the early evening.\n33442,2019/11/25,\"I spent 35 talking to Layla, Piper on various topics in the late afternoon.\",\"I spent 35 talking to Layla, Piper on various topics in the late afternoon.\"\n33443,2019/11/25,\"I talked to Rylee, Lydia for 38 minutes late in the evening.\",\"I talked to Rylee, Lydia for 38 minutes late in the evening.\"\n33444,2019/11/25,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n33445,2019/11/25,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n33446,2019/11/26,I did HIIT on 2019/11/26.,I did HIIT on 2019/11/26.\n33447,2019/11/26,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n33448,2019/11/26,I ate chinese food for lunch.,I ate chinese food for lunch.\n33449,2019/11/26,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n33450,2019/11/26,I spent 43 talking to Hazel on various topics late in the evening.,I spent 43 talking to Hazel on various topics late in the evening.\n33451,2019/11/26,\"I spent 49 talking to Piper, Olivia, Piper, Hazel on various topics late in the evening.\",\"I spent 49 talking to Piper, Olivia, Piper, Hazel on various topics late in the evening.\"\n33452,2019/11/26,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n33453,2019/11/26,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n33454,2019/11/27,I did biking on 2019/11/27.,I did biking on 2019/11/27.\n33455,2019/11/27,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n33456,2019/11/27,\"I had lunch with Hazel, Rylee, Olivia, Nora, Eva, Lydia, Nevaeh. I ate sandwich.\",\"I had lunch with Hazel, Rylee, Olivia, Nora, Eva, Lydia, Nevaeh. I ate sandwich.\"\n33457,2019/11/27,I prepare steak for dinner.,I prepare steak for dinner.\n33458,2019/11/27,I talked to Olivia for 33 minutes during lunch hours.,I talked to Olivia for 33 minutes during lunch hours.\n33459,2019/11/27,\"I talked to Olivia, Kinsley for 16 minutes in the early evening.\",\"I talked to Olivia, Kinsley for 16 minutes in the early evening.\"\n33460,2019/11/27,\"I talked to Hazel, Lydia, Rylee for 27 minutes during lunch hours.\",\"I talked to Hazel, Lydia, Rylee for 27 minutes during lunch hours.\"\n33461,2019/11/27,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n33462,2019/11/27,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n33463,2019/11/28,\"I had breakfast with Carter, Emily. I ate toast and cheese.\",\"I had breakfast with Carter, Emily. I ate toast and cheese.\"\n33464,2019/11/28,I ate chinese food for lunch.,I ate chinese food for lunch.\n33465,2019/11/28,\"I had pasta for dinner with Emily, Carter, Kayden, Andrew\",\"I had pasta for dinner with Emily, Carter, Kayden, Andrew\"\n33466,2019/11/28,\"I spent 54 talking to Olivia, Nevaeh, Rylee on various topics late in the evening.\",\"I spent 54 talking to Olivia, Nevaeh, Rylee on various topics late in the evening.\"\n33467,2019/11/28,\"I talked to Avery, Layla, Hazel for 32 minutes in the early afternoon.\",\"I talked to Avery, Layla, Hazel for 32 minutes in the early afternoon.\"\n33468,2019/11/28,\"I spent 47 talking to Lydia, Layla, Nevaeh on various topics during lunch hours.\",\"I spent 47 talking to Lydia, Layla, Nevaeh on various topics during lunch hours.\"\n33469,2019/11/28,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n33470,2019/11/28,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n33471,2019/11/29,I did swimming on 2019/11/29.,I did swimming on 2019/11/29.\n33472,2019/11/29,\"I had peanut-butter-jam for breakfast with Nora, Olivia, Hazel, Avery, Claire, Kinsley, Piper, Layla\",\"I had peanut-butter-jam for breakfast with Nora, Olivia, Hazel, Avery, Claire, Kinsley, Piper, Layla\"\n33473,2019/11/29,I prepare sushi for lunch.,I prepare sushi for lunch.\n33474,2019/11/29,I had dinner with Jackson. I ate indian food.,I had dinner with Jackson. I ate indian food.\n33475,2019/11/29,\"I spent 16 talking to Layla, Lydia, Kinsley on various topics late in the evening.\",\"I spent 16 talking to Layla, Lydia, Kinsley on various topics late in the evening.\"\n33476,2019/11/29,\"I talked to Rylee, Eva, Nevaeh, Kinsley for 44 minutes in the early evening.\",\"I talked to Rylee, Eva, Nevaeh, Kinsley for 44 minutes in the early evening.\"\n33477,2019/11/29,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n33478,2019/11/29,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n33479,2019/11/30,\"I went grocery shopping. I bought some strawberries, guava juice, mango juice, and mouthwash, facial wash, body lotion, mouth wash\",\"I went grocery shopping. I bought some strawberries, guava juice, mango juice, and mouthwash, facial wash, body lotion, mouth wash\"\n33480,2019/11/30,I did weight lifting on 2019/11/30.,I did weight lifting on 2019/11/30.\n33481,2019/11/30,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n33482,2019/11/30,I had lunch with Kayden. I ate chinese food.,I had lunch with Kayden. I ate chinese food.\n33483,2019/11/30,I prepare tacos for dinner.,I prepare tacos for dinner.\n33484,2019/11/30,\"I spent 48 talking to Rylee, Olivia, Claire, Eva on various topics in the late afternoon.\",\"I spent 48 talking to Rylee, Olivia, Claire, Eva on various topics in the late afternoon.\"\n33485,2019/11/30,\"I talked to Hazel, Claire, Kinsley, Olivia for 25 minutes in the late afternoon.\",\"I talked to Hazel, Claire, Kinsley, Olivia for 25 minutes in the late afternoon.\"\n33486,2019/11/30,\"I spent 47 talking to Rylee, Layla, Avery on various topics in the early evening.\",\"I spent 47 talking to Rylee, Layla, Avery on various topics in the early evening.\"\n33487,2019/11/30,\"I spent 44 talking to Layla, Rylee, Lydia, Nevaeh on various topics in the early evening.\",\"I spent 44 talking to Layla, Rylee, Lydia, Nevaeh on various topics in the early evening.\"\n33488,2019/11/30,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n33489,2019/11/30,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n33490,2019/12/01,I did HIIT on 2019/12/01.,I did HIIT on 2019/12/01.\n33491,2019/12/01,I ate cereals for breakfast.,I ate cereals for breakfast.\n33492,2019/12/01,I had fish and chips for lunch with Kayden,I had fish and chips for lunch with Kayden\n33493,2019/12/01,I had dinner with Kayden. I ate sushi.,I had dinner with Kayden. I ate sushi.\n33494,2019/12/01,I talked to Layla for 31 minutes late in the evening.,I talked to Layla for 31 minutes late in the evening.\n33495,2019/12/01,\"I talked to Piper, Kinsley for 5 minutes during lunch hours.\",\"I talked to Piper, Kinsley for 5 minutes during lunch hours.\"\n33496,2019/12/01,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n33497,2019/12/01,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n33498,2019/12/02,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n33499,2019/12/02,\"I had lunch with Willow, Jackson, Benjamin. I ate sushi.\",\"I had lunch with Willow, Jackson, Benjamin. I ate sushi.\"\n33500,2019/12/02,I ate sandwich for dinner.,I ate sandwich for dinner.\n33501,2019/12/02,I spent 40 talking to Nevaeh on various topics during lunch hours.,I spent 40 talking to Nevaeh on various topics during lunch hours.\n33502,2019/12/02,\"I talked to Piper, Eva, Hazel, Kinsley for 18 minutes during lunch hours.\",\"I talked to Piper, Eva, Hazel, Kinsley for 18 minutes during lunch hours.\"\n33503,2019/12/02,\"I talked to Eva, Lydia, Nevaeh for 14 minutes in the late afternoon.\",\"I talked to Eva, Lydia, Nevaeh for 14 minutes in the late afternoon.\"\n33504,2019/12/02,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n33505,2019/12/02,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n33506,2019/12/03,I did biking on 2019/12/03.,I did biking on 2019/12/03.\n33507,2019/12/03,\"I had oatmeal for breakfast with Benjamin, Avery, Willow\",\"I had oatmeal for breakfast with Benjamin, Avery, Willow\"\n33508,2019/12/03,I ate sushi for lunch.,I ate sushi for lunch.\n33509,2019/12/03,I ate indian food for dinner.,I ate indian food for dinner.\n33510,2019/12/03,I spent 55 talking to Piper on various topics in the early afternoon.,I spent 55 talking to Piper on various topics in the early afternoon.\n33511,2019/12/03,\"I spent 19 talking to Claire, Piper, Avery, Nora on various topics late in the evening.\",\"I spent 19 talking to Claire, Piper, Avery, Nora on various topics late in the evening.\"\n33512,2019/12/03,\"I spent 44 talking to Layla, Piper, Nevaeh on various topics in the early evening.\",\"I spent 44 talking to Layla, Piper, Nevaeh on various topics in the early evening.\"\n33513,2019/12/03,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n33514,2019/12/03,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n33515,2019/12/04,my parents for their and I went for an annual physical checkup at the university hospital on 2019/12/04.,my parents for their and I went for an annual physical checkup at the university hospital on 2019/12/04.\n33516,2019/12/04,I spent time gardening on 2019/12/04 with Carter.,I spent time gardening on 2019/12/04 with Carter.\n33517,2019/12/04,\"I bought some peaches, guava, strawberries, blueberries, guava juice, apple juice, milk, toothbrush from the grocery store. I saw Andrew at the grocery store.\",\"I bought some peaches, guava, strawberries, blueberries, guava juice, apple juice, milk, toothbrush from the grocery store. I saw Andrew at the grocery store.\"\n33518,2019/12/04,I did running on 2019/12/04.,I did running on 2019/12/04.\n33519,2019/12/04,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n33520,2019/12/04,I prepare tacos for lunch.,I prepare tacos for lunch.\n33521,2019/12/04,\"I had dinner with Avery, Benjamin. I ate tacos.\",\"I had dinner with Avery, Benjamin. I ate tacos.\"\n33522,2019/12/04,I spent 34 talking to Nora on various topics in the late afternoon.,I spent 34 talking to Nora on various topics in the late afternoon.\n33523,2019/12/04,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n33524,2019/12/04,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n33525,2019/12/05,I did running on 2019/12/05.,I did running on 2019/12/05.\n33526,2019/12/05,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n33527,2019/12/05,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n33528,2019/12/05,I prepare tacos for dinner.,I prepare tacos for dinner.\n33529,2019/12/05,\"I spent 20 talking to Piper, Kinsley, Avery on various topics in the morning.\",\"I spent 20 talking to Piper, Kinsley, Avery on various topics in the morning.\"\n33530,2019/12/05,\"I talked to Nevaeh, Piper, Kinsley for 41 minutes during lunch hours.\",\"I talked to Nevaeh, Piper, Kinsley for 41 minutes during lunch hours.\"\n33531,2019/12/05,I spent 48 talking to Claire on various topics in the early afternoon.,I spent 48 talking to Claire on various topics in the early afternoon.\n33532,2019/12/05,\"I talked to Eva, Layla for 32 minutes in the early evening.\",\"I talked to Eva, Layla for 32 minutes in the early evening.\"\n33533,2019/12/05,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n33534,2019/12/05,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n33535,2019/12/06,I did biking on 2019/12/06.,I did biking on 2019/12/06.\n33536,2019/12/06,\"I had pancakes for breakfast with Kayden, Emily, Carter, Andrew\",\"I had pancakes for breakfast with Kayden, Emily, Carter, Andrew\"\n33537,2019/12/06,I prepare indian food for lunch.,I prepare indian food for lunch.\n33538,2019/12/06,I ate chinese food for dinner.,I ate chinese food for dinner.\n33539,2019/12/06,\"I spent 29 talking to Claire, Avery on various topics during lunch hours.\",\"I spent 29 talking to Claire, Avery on various topics during lunch hours.\"\n33540,2019/12/06,I spent 26 talking to Piper on various topics in the morning.,I spent 26 talking to Piper on various topics in the morning.\n33541,2019/12/06,\"I talked to Rylee, Eva, Claire, Nora for 49 minutes during lunch hours.\",\"I talked to Rylee, Eva, Claire, Nora for 49 minutes during lunch hours.\"\n33542,2019/12/06,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n33543,2019/12/06,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n33544,2019/12/07,I did weight lifting on 2019/12/07.,I did weight lifting on 2019/12/07.\n33545,2019/12/07,\"I had breakfast with Avery, Willow. I ate cereals.\",\"I had breakfast with Avery, Willow. I ate cereals.\"\n33546,2019/12/07,\"I had lunch with Andrew, Emily, Kayden, Carter. I ate sushi.\",\"I had lunch with Andrew, Emily, Kayden, Carter. I ate sushi.\"\n33547,2019/12/07,I prepare pasta for dinner.,I prepare pasta for dinner.\n33548,2019/12/07,\"I spent 33 talking to Avery, Rylee, Olivia, Eva on various topics in the late afternoon.\",\"I spent 33 talking to Avery, Rylee, Olivia, Eva on various topics in the late afternoon.\"\n33549,2019/12/07,I talked to Olivia for 43 minutes in the early evening.,I talked to Olivia for 43 minutes in the early evening.\n33550,2019/12/07,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n33551,2019/12/07,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n33552,2019/12/08,\"I spent time meditation on 2019/12/08 with Willow, Benjamin, Jackson.\",\"I spent time meditation on 2019/12/08 with Willow, Benjamin, Jackson.\"\n33553,2019/12/08,I did running on 2019/12/08.,I did running on 2019/12/08.\n33554,2019/12/08,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n33555,2019/12/08,\"I had lunch with Emily, Andrew, Carter. I ate pasta.\",\"I had lunch with Emily, Andrew, Carter. I ate pasta.\"\n33556,2019/12/08,\"I had steak for dinner with Willow, Benjamin\",\"I had steak for dinner with Willow, Benjamin\"\n33557,2019/12/08,I talked to Nora for 13 minutes in the morning.,I talked to Nora for 13 minutes in the morning.\n33558,2019/12/08,I talked to Nevaeh for 16 minutes late in the evening.,I talked to Nevaeh for 16 minutes late in the evening.\n33559,2019/12/08,\"I spent 42 talking to Lydia, Eva on various topics in the morning.\",\"I spent 42 talking to Lydia, Eva on various topics in the morning.\"\n33560,2019/12/08,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n33561,2019/12/08,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n33562,2019/12/09,\"I went grocery shopping. I bought some apricots, sports drinks, and mouth wash, shampoo, toothpaste, paper towel\",\"I went grocery shopping. I bought some apricots, sports drinks, and mouth wash, shampoo, toothpaste, paper towel\"\n33563,2019/12/09,I did biking on 2019/12/09.,I did biking on 2019/12/09.\n33564,2019/12/09,I had pancakes for breakfast with Emily,I had pancakes for breakfast with Emily\n33565,2019/12/09,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n33566,2019/12/09,I had dinner. I ate steak.,I had dinner. I ate steak.\n33567,2019/12/09,\"I talked to Layla, Hazel, Rylee for 16 minutes in the morning.\",\"I talked to Layla, Hazel, Rylee for 16 minutes in the morning.\"\n33568,2019/12/09,\"I talked to Nora, Kinsley, Nevaeh, Piper for 28 minutes late in the evening.\",\"I talked to Nora, Kinsley, Nevaeh, Piper for 28 minutes late in the evening.\"\n33569,2019/12/09,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n33570,2019/12/09,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n33571,2019/12/10,I did weight lifting on 2019/12/10.,I did weight lifting on 2019/12/10.\n33572,2019/12/10,\"I had toast and cheese for breakfast with Kayden, Emily, Carter\",\"I had toast and cheese for breakfast with Kayden, Emily, Carter\"\n33573,2019/12/10,\"I had pasta for lunch with Benjamin, Avery\",\"I had pasta for lunch with Benjamin, Avery\"\n33574,2019/12/10,\"I had chinese food for dinner with Willow, Benjamin, Jackson\",\"I had chinese food for dinner with Willow, Benjamin, Jackson\"\n33575,2019/12/10,\"I spent 10 talking to Avery, Layla, Piper on various topics in the early afternoon.\",\"I spent 10 talking to Avery, Layla, Piper on various topics in the early afternoon.\"\n33576,2019/12/10,\"I talked to Eva, Claire, Avery for 17 minutes in the late afternoon.\",\"I talked to Eva, Claire, Avery for 17 minutes in the late afternoon.\"\n33577,2019/12/10,I talked to Layla for 25 minutes in the early evening.,I talked to Layla for 25 minutes in the early evening.\n33578,2019/12/10,I spent 18 talking to Nora on various topics in the late afternoon.,I spent 18 talking to Nora on various topics in the late afternoon.\n33579,2019/12/10,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n33580,2019/12/10,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n33581,2019/12/11,I did biking on 2019/12/11.,I did biking on 2019/12/11.\n33582,2019/12/11,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n33583,2019/12/11,I prepare a burger for lunch.,I prepare a burger for lunch.\n33584,2019/12/11,I ate a burger for dinner.,I ate a burger for dinner.\n33585,2019/12/11,\"I spent 18 talking to Eva, Nora, Nevaeh, Piper on various topics in the morning.\",\"I spent 18 talking to Eva, Nora, Nevaeh, Piper on various topics in the morning.\"\n33586,2019/12/11,I spent 20 talking to Claire on various topics in the early afternoon.,I spent 20 talking to Claire on various topics in the early afternoon.\n33587,2019/12/11,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n33588,2019/12/11,I spent 49 minutes watching a documentary on TV today.,I spent 49 minutes watching a documentary on TV today.\n33589,2019/12/12,\"On 2019/12/12, I took Jonathan on a date to a restaurant\",\"On 2019/12/12, I took Jonathan on a date to a restaurant\"\n33590,2019/12/12,I spent time learning a language on 2019/12/12 with Emily.,I spent time learning a language on 2019/12/12 with Emily.\n33591,2019/12/12,\"I went grocery shopping. I bought some apricots, mango juice, pineapple juice, and toilet paper\",\"I went grocery shopping. I bought some apricots, mango juice, pineapple juice, and toilet paper\"\n33592,2019/12/12,I did hiking on 2019/12/12.,I did hiking on 2019/12/12.\n33593,2019/12/12,\"I had toast and cheese for breakfast with Carter, Kayden, Andrew\",\"I had toast and cheese for breakfast with Carter, Kayden, Andrew\"\n33594,2019/12/12,\"I had steak for lunch with Carter, Andrew, Emily\",\"I had steak for lunch with Carter, Andrew, Emily\"\n33595,2019/12/12,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n33596,2019/12/12,I spent 47 talking to Olivia on various topics late in the evening.,I spent 47 talking to Olivia on various topics late in the evening.\n33597,2019/12/12,\"I spent 42 talking to Hazel, Rylee, Layla, Piper on various topics late in the evening.\",\"I spent 42 talking to Hazel, Rylee, Layla, Piper on various topics late in the evening.\"\n33598,2019/12/12,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n33599,2019/12/12,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n33600,2019/12/13,I took Kayden for his/her  for an annual dental cleaning and checkup on 2019/12/13 at the university hospital.,I took Kayden for his/her  for an annual dental cleaning and checkup on 2019/12/13 at the university hospital.\n33601,2019/12/13,I spent time yoga on 2019/12/13 with Benjamin.,I spent time yoga on 2019/12/13 with Benjamin.\n33602,2019/12/13,\"I went grocery shopping with Jackson, Willow. I bought some guava, mangos, apples, cherres, pineapple juice, tea, and shaving cream, toothbrush, toilet paper\",\"I went grocery shopping with Jackson, Willow. I bought some guava, mangos, apples, cherres, pineapple juice, tea, and shaving cream, toothbrush, toilet paper\"\n33603,2019/12/13,I did HIIT on 2019/12/13.,I did HIIT on 2019/12/13.\n33604,2019/12/13,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n33605,2019/12/13,I prepare a burger for lunch.,I prepare a burger for lunch.\n33606,2019/12/13,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n33607,2019/12/13,\"I spent 18 talking to Eva, Layla, Nora on various topics in the morning.\",\"I spent 18 talking to Eva, Layla, Nora on various topics in the morning.\"\n33608,2019/12/13,\"I talked to Nevaeh, Piper for 49 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper for 49 minutes in the late afternoon.\"\n33609,2019/12/13,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n33610,2019/12/13,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n33611,2019/12/14,I did biking on 2019/12/14.,I did biking on 2019/12/14.\n33612,2019/12/14,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n33613,2019/12/14,I had lunch with Kayden. I ate a burger.,I had lunch with Kayden. I ate a burger.\n33614,2019/12/14,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n33615,2019/12/14,\"I spent 16 talking to Lydia, Kinsley, Rylee on various topics during lunch hours.\",\"I spent 16 talking to Lydia, Kinsley, Rylee on various topics during lunch hours.\"\n33616,2019/12/14,I spent 13 talking to Nevaeh on various topics in the early evening.,I spent 13 talking to Nevaeh on various topics in the early evening.\n33617,2019/12/14,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n33618,2019/12/14,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n33619,2019/12/15,I did biking on 2019/12/15.,I did biking on 2019/12/15.\n33620,2019/12/15,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n33621,2019/12/15,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n33622,2019/12/15,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n33623,2019/12/15,\"I talked to Avery, Claire, Kinsley for 52 minutes during lunch hours.\",\"I talked to Avery, Claire, Kinsley for 52 minutes during lunch hours.\"\n33624,2019/12/15,I spent 33 talking to Piper on various topics in the late afternoon.,I spent 33 talking to Piper on various topics in the late afternoon.\n33625,2019/12/15,\"I talked to Layla, Piper, Rylee for 23 minutes late in the evening.\",\"I talked to Layla, Piper, Rylee for 23 minutes late in the evening.\"\n33626,2019/12/15,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n33627,2019/12/15,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n33628,2019/12/16,I went on a date with Joseph on 2019/12/16 at a park,I went on a date with Joseph on 2019/12/16 at a park\n33629,2019/12/16,I did weight lifting on 2019/12/16.,I did weight lifting on 2019/12/16.\n33630,2019/12/16,\"I had breakfast with Eva, Avery, Layla, Nevaeh, Olivia, Lydia, Hazel, Nora, Claire, Kinsley, Rylee. I ate toast and cheese.\",\"I had breakfast with Eva, Avery, Layla, Nevaeh, Olivia, Lydia, Hazel, Nora, Claire, Kinsley, Rylee. I ate toast and cheese.\"\n33631,2019/12/16,\"I had lunch with Claire, Piper. I ate tacos.\",\"I had lunch with Claire, Piper. I ate tacos.\"\n33632,2019/12/16,I prepare a burger for dinner.,I prepare a burger for dinner.\n33633,2019/12/16,\"I spent 11 talking to Eva, Layla on various topics during lunch hours.\",\"I spent 11 talking to Eva, Layla on various topics during lunch hours.\"\n33634,2019/12/16,\"I talked to Hazel, Claire, Olivia for 26 minutes late in the evening.\",\"I talked to Hazel, Claire, Olivia for 26 minutes late in the evening.\"\n33635,2019/12/16,I talked to Piper for 33 minutes in the late afternoon.,I talked to Piper for 33 minutes in the late afternoon.\n33636,2019/12/16,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n33637,2019/12/16,I spent 39 minutes watching a movie on TV today.,I spent 39 minutes watching a movie on TV today.\n33638,2019/12/17,\"I bought some mandarins, strawberries, guava juice, toothpaste, toothbrush from the grocery store. I saw Jackson, Willow at the grocery store.\",\"I bought some mandarins, strawberries, guava juice, toothpaste, toothbrush from the grocery store. I saw Jackson, Willow at the grocery store.\"\n33639,2019/12/17,I did weight lifting on 2019/12/17.,I did weight lifting on 2019/12/17.\n33640,2019/12/17,\"I had eggs, sausages, and bread for breakfast with Emily, Kayden\",\"I had eggs, sausages, and bread for breakfast with Emily, Kayden\"\n33641,2019/12/17,I had indian food for lunch with Kayden,I had indian food for lunch with Kayden\n33642,2019/12/17,I ate chinese food for dinner.,I ate chinese food for dinner.\n33643,2019/12/17,\"I spent 38 talking to Piper, Nora, Avery on various topics in the late afternoon.\",\"I spent 38 talking to Piper, Nora, Avery on various topics in the late afternoon.\"\n33644,2019/12/17,\"I spent 35 talking to Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 35 talking to Piper, Nevaeh on various topics in the early afternoon.\"\n33645,2019/12/17,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n33646,2019/12/17,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n33647,2019/12/18,I did HIIT on 2019/12/18.,I did HIIT on 2019/12/18.\n33648,2019/12/18,\"I had toast and cheese for breakfast with Andrew, Carter, Kayden, Emily\",\"I had toast and cheese for breakfast with Andrew, Carter, Kayden, Emily\"\n33649,2019/12/18,\"I had sandwich for lunch with Emily, Andrew, Kayden\",\"I had sandwich for lunch with Emily, Andrew, Kayden\"\n33650,2019/12/18,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n33651,2019/12/18,\"I spent 16 talking to Claire, Rylee, Lydia on various topics in the late afternoon.\",\"I spent 16 talking to Claire, Rylee, Lydia on various topics in the late afternoon.\"\n33652,2019/12/18,\"I spent 42 talking to Claire, Layla, Lydia on various topics late in the evening.\",\"I spent 42 talking to Claire, Layla, Lydia on various topics late in the evening.\"\n33653,2019/12/18,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n33654,2019/12/18,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n33655,2019/12/19,I did biking on 2019/12/19.,I did biking on 2019/12/19.\n33656,2019/12/19,I had cereals for breakfast with Emily,I had cereals for breakfast with Emily\n33657,2019/12/19,I prepare steak for lunch.,I prepare steak for lunch.\n33658,2019/12/19,I had sandwich for dinner with Avery,I had sandwich for dinner with Avery\n33659,2019/12/19,\"I talked to Layla, Piper, Claire, Nora for 23 minutes in the early evening.\",\"I talked to Layla, Piper, Claire, Nora for 23 minutes in the early evening.\"\n33660,2019/12/19,\"I talked to Eva, Nora, Lydia, Piper for 22 minutes in the early evening.\",\"I talked to Eva, Nora, Lydia, Piper for 22 minutes in the early evening.\"\n33661,2019/12/19,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n33662,2019/12/19,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n33663,2019/12/20,I spent time meditation on 2019/12/20 with Carter.,I spent time meditation on 2019/12/20 with Carter.\n33664,2019/12/20,\"I bought some clementines, coffee, orange juice, chocolate milk, toilet paper from the grocery store. I saw Olivia, Nora, Lydia, Hazel, Avery, Rylee, Nevaeh, Piper, Piper, Layla, Eva, Kinsley at the grocery store.\",\"I bought some clementines, coffee, orange juice, chocolate milk, toilet paper from the grocery store. I saw Olivia, Nora, Lydia, Hazel, Avery, Rylee, Nevaeh, Piper, Piper, Layla, Eva, Kinsley at the grocery store.\"\n33665,2019/12/20,I did biking on 2019/12/20.,I did biking on 2019/12/20.\n33666,2019/12/20,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n33667,2019/12/20,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n33668,2019/12/20,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n33669,2019/12/20,\"I talked to Nora, Piper for 37 minutes during lunch hours.\",\"I talked to Nora, Piper for 37 minutes during lunch hours.\"\n33670,2019/12/20,\"I talked to Lydia, Nora, Piper, Avery for 26 minutes in the late afternoon.\",\"I talked to Lydia, Nora, Piper, Avery for 26 minutes in the late afternoon.\"\n33671,2019/12/20,I spent 47 talking to Nevaeh on various topics in the late afternoon.,I spent 47 talking to Nevaeh on various topics in the late afternoon.\n33672,2019/12/20,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n33673,2019/12/20,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n33674,2019/12/21,I did weight lifting on 2019/12/21.,I did weight lifting on 2019/12/21.\n33675,2019/12/21,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n33676,2019/12/21,\"I had pasta for lunch with Emily, Carter\",\"I had pasta for lunch with Emily, Carter\"\n33677,2019/12/21,\"I had dinner with Olivia, Nora, Rylee, Claire, Lydia, Piper, Nevaeh, Layla. I ate steak.\",\"I had dinner with Olivia, Nora, Rylee, Claire, Lydia, Piper, Nevaeh, Layla. I ate steak.\"\n33678,2019/12/21,\"I spent 50 talking to Nora, Kinsley on various topics in the early afternoon.\",\"I spent 50 talking to Nora, Kinsley on various topics in the early afternoon.\"\n33679,2019/12/21,I talked to Kinsley for 43 minutes in the late afternoon.,I talked to Kinsley for 43 minutes in the late afternoon.\n33680,2019/12/21,\"I spent 33 talking to Nevaeh, Avery, Layla on various topics in the early afternoon.\",\"I spent 33 talking to Nevaeh, Avery, Layla on various topics in the early afternoon.\"\n33681,2019/12/21,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n33682,2019/12/21,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n33683,2019/12/22,I went on a date with Chris on 2019/12/22 at a coffee Shop,I went on a date with Chris on 2019/12/22 at a coffee Shop\n33684,2019/12/22,I did weight lifting on 2019/12/22.,I did weight lifting on 2019/12/22.\n33685,2019/12/22,\"I had pancakes for breakfast with Andrew, Carter, Kayden\",\"I had pancakes for breakfast with Andrew, Carter, Kayden\"\n33686,2019/12/22,I ate chinese food for lunch.,I ate chinese food for lunch.\n33687,2019/12/22,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n33688,2019/12/22,I talked to Kinsley for 45 minutes during lunch hours.,I talked to Kinsley for 45 minutes during lunch hours.\n33689,2019/12/22,\"I spent 23 talking to Avery, Piper on various topics in the late afternoon.\",\"I spent 23 talking to Avery, Piper on various topics in the late afternoon.\"\n33690,2019/12/22,I talked to Rylee for 18 minutes in the morning.,I talked to Rylee for 18 minutes in the morning.\n33691,2019/12/22,\"I spent 22 talking to Hazel, Piper, Avery, Nevaeh on various topics late in the evening.\",\"I spent 22 talking to Hazel, Piper, Avery, Nevaeh on various topics late in the evening.\"\n33692,2019/12/22,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n33693,2019/12/22,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n33694,2019/12/23,I did weight lifting on 2019/12/23.,I did weight lifting on 2019/12/23.\n33695,2019/12/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n33696,2019/12/23,\"I had lunch with Kayden, Carter, Emily, Andrew. I ate fish and chips.\",\"I had lunch with Kayden, Carter, Emily, Andrew. I ate fish and chips.\"\n33697,2019/12/23,I prepare a burger for dinner.,I prepare a burger for dinner.\n33698,2019/12/23,\"I spent 27 talking to Piper, Rylee, Claire on various topics in the morning.\",\"I spent 27 talking to Piper, Rylee, Claire on various topics in the morning.\"\n33699,2019/12/23,I spent 5 talking to Lydia on various topics in the late afternoon.,I spent 5 talking to Lydia on various topics in the late afternoon.\n33700,2019/12/23,\"I spent 15 talking to Kinsley, Piper, Avery on various topics in the late afternoon.\",\"I spent 15 talking to Kinsley, Piper, Avery on various topics in the late afternoon.\"\n33701,2019/12/23,\"I talked to Piper, Rylee, Nevaeh, Hazel for 8 minutes late in the evening.\",\"I talked to Piper, Rylee, Nevaeh, Hazel for 8 minutes late in the evening.\"\n33702,2019/12/23,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n33703,2019/12/23,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n33704,2019/12/24,I did running on 2019/12/24.,I did running on 2019/12/24.\n33705,2019/12/24,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n33706,2019/12/24,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n33707,2019/12/24,I prepare steak for dinner.,I prepare steak for dinner.\n33708,2019/12/24,\"I talked to Olivia, Piper for 44 minutes in the early afternoon.\",\"I talked to Olivia, Piper for 44 minutes in the early afternoon.\"\n33709,2019/12/24,I talked to Layla for 19 minutes in the late afternoon.,I talked to Layla for 19 minutes in the late afternoon.\n33710,2019/12/24,\"I talked to Claire, Piper, Layla, Rylee for 45 minutes during lunch hours.\",\"I talked to Claire, Piper, Layla, Rylee for 45 minutes during lunch hours.\"\n33711,2019/12/24,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n33712,2019/12/24,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n33713,2019/12/25,I went on a date with Mila on 2019/12/25 at a park,I went on a date with Mila on 2019/12/25 at a park\n33714,2019/12/25,\"I went grocery shopping. I bought some pears, cherres, strawberries, pineapple juice, and shampoo, mouth wash, body lotion\",\"I went grocery shopping. I bought some pears, cherres, strawberries, pineapple juice, and shampoo, mouth wash, body lotion\"\n33715,2019/12/25,I did swimming on 2019/12/25.,I did swimming on 2019/12/25.\n33716,2019/12/25,\"I had breakfast with Carter, Emily. I ate oatmeal.\",\"I had breakfast with Carter, Emily. I ate oatmeal.\"\n33717,2019/12/25,I ate indian food for lunch.,I ate indian food for lunch.\n33718,2019/12/25,\"I had dinner with Benjamin, Avery, Willow. I ate a burger.\",\"I had dinner with Benjamin, Avery, Willow. I ate a burger.\"\n33719,2019/12/25,I talked to Kinsley for 18 minutes in the early evening.,I talked to Kinsley for 18 minutes in the early evening.\n33720,2019/12/25,\"I talked to Eva, Avery for 52 minutes in the early afternoon.\",\"I talked to Eva, Avery for 52 minutes in the early afternoon.\"\n33721,2019/12/25,I talked to Olivia for 45 minutes in the morning.,I talked to Olivia for 45 minutes in the morning.\n33722,2019/12/25,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n33723,2019/12/25,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n33724,2019/12/26,I did swimming on 2019/12/26.,I did swimming on 2019/12/26.\n33725,2019/12/26,\"I had breakfast with Emily, Andrew. I ate toast and cheese.\",\"I had breakfast with Emily, Andrew. I ate toast and cheese.\"\n33726,2019/12/26,\"I had chinese food for lunch with Kayden, Carter, Andrew\",\"I had chinese food for lunch with Kayden, Carter, Andrew\"\n33727,2019/12/26,I prepare tacos for dinner.,I prepare tacos for dinner.\n33728,2019/12/26,\"I talked to Lydia, Avery, Nora, Claire for 18 minutes during lunch hours.\",\"I talked to Lydia, Avery, Nora, Claire for 18 minutes during lunch hours.\"\n33729,2019/12/26,\"I spent 22 talking to Lydia, Hazel on various topics in the morning.\",\"I spent 22 talking to Lydia, Hazel on various topics in the morning.\"\n33730,2019/12/26,\"I talked to Kinsley, Nevaeh, Rylee for 27 minutes in the morning.\",\"I talked to Kinsley, Nevaeh, Rylee for 27 minutes in the morning.\"\n33731,2019/12/26,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n33732,2019/12/26,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n33733,2019/12/27,\"I really enjoyed cooking salmon chowder, traditional meat loaf on 2019/12/27 with Eva, Piper, Rylee at my place\",\"I really enjoyed cooking salmon chowder, traditional meat loaf on 2019/12/27 with Eva, Piper, Rylee at my place\"\n33734,2019/12/27,I did HIIT on 2019/12/27.,I did HIIT on 2019/12/27.\n33735,2019/12/27,\"I had breakfast with Andrew, Carter, Emily. I ate oatmeal.\",\"I had breakfast with Andrew, Carter, Emily. I ate oatmeal.\"\n33736,2019/12/27,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n33737,2019/12/27,\"I had tacos for dinner with Hazel, Kinsley\",\"I had tacos for dinner with Hazel, Kinsley\"\n33738,2019/12/27,\"I spent 25 talking to Nevaeh, Piper, Rylee on various topics late in the evening.\",\"I spent 25 talking to Nevaeh, Piper, Rylee on various topics late in the evening.\"\n33739,2019/12/27,\"I spent 30 talking to Lydia, Eva, Nora, Hazel on various topics in the early evening.\",\"I spent 30 talking to Lydia, Eva, Nora, Hazel on various topics in the early evening.\"\n33740,2019/12/27,\"I spent 9 talking to Avery, Layla on various topics in the early evening.\",\"I spent 9 talking to Avery, Layla on various topics in the early evening.\"\n33741,2019/12/27,\"I talked to Nora, Nevaeh, Lydia for 22 minutes in the early afternoon.\",\"I talked to Nora, Nevaeh, Lydia for 22 minutes in the early afternoon.\"\n33742,2019/12/27,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n33743,2019/12/27,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n33744,2019/12/28,I went on a date with Elizabeth on 2019/12/28 at a park,I went on a date with Elizabeth on 2019/12/28 at a park\n33745,2019/12/28,\"I went grocery shopping. I bought some watermelons, blueberries, soda, sports drinks, and toothpaste\",\"I went grocery shopping. I bought some watermelons, blueberries, soda, sports drinks, and toothpaste\"\n33746,2019/12/28,I did weight lifting on 2019/12/28.,I did weight lifting on 2019/12/28.\n33747,2019/12/28,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n33748,2019/12/28,\"I had indian food for lunch with Kayden, Emily, Andrew, Carter\",\"I had indian food for lunch with Kayden, Emily, Andrew, Carter\"\n33749,2019/12/28,I had dinner with Rylee. I ate a burger.,I had dinner with Rylee. I ate a burger.\n33750,2019/12/28,\"I spent 21 talking to Layla, Hazel, Nevaeh, Avery on various topics in the early afternoon.\",\"I spent 21 talking to Layla, Hazel, Nevaeh, Avery on various topics in the early afternoon.\"\n33751,2019/12/28,I talked to Hazel for 31 minutes during lunch hours.,I talked to Hazel for 31 minutes during lunch hours.\n33752,2019/12/28,\"I spent 38 talking to Lydia, Rylee, Piper on various topics in the late afternoon.\",\"I spent 38 talking to Lydia, Rylee, Piper on various topics in the late afternoon.\"\n33753,2019/12/28,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n33754,2019/12/28,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n33755,2019/12/29,I did HIIT on 2019/12/29.,I did HIIT on 2019/12/29.\n33756,2019/12/29,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n33757,2019/12/29,I ate sandwich for lunch.,I ate sandwich for lunch.\n33758,2019/12/29,I prepare tacos for dinner.,I prepare tacos for dinner.\n33759,2019/12/29,\"I spent 36 talking to Olivia, Hazel on various topics in the late afternoon.\",\"I spent 36 talking to Olivia, Hazel on various topics in the late afternoon.\"\n33760,2019/12/29,\"I spent 54 talking to Avery, Layla on various topics during lunch hours.\",\"I spent 54 talking to Avery, Layla on various topics during lunch hours.\"\n33761,2019/12/29,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n33762,2019/12/29,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n33763,2019/12/30,I had breakfast with Avery. I ate peanut-butter-jam.,I had breakfast with Avery. I ate peanut-butter-jam.\n33764,2019/12/30,\"I had chinese food for lunch with Piper, Layla, Claire, Nevaeh, Avery, Lydia, Rylee, Eva, Olivia, Kinsley\",\"I had chinese food for lunch with Piper, Layla, Claire, Nevaeh, Avery, Lydia, Rylee, Eva, Olivia, Kinsley\"\n33765,2019/12/30,I prepare sushi for dinner.,I prepare sushi for dinner.\n33766,2019/12/30,I spent 20 talking to Eva on various topics in the morning.,I spent 20 talking to Eva on various topics in the morning.\n33767,2019/12/30,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n33768,2019/12/30,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n33769,2019/12/31,I really enjoyed meditation on 2019/12/31,I really enjoyed meditation on 2019/12/31\n33770,2019/12/31,I did biking on 2019/12/31.,I did biking on 2019/12/31.\n33771,2019/12/31,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n33772,2019/12/31,I ate chinese food for lunch.,I ate chinese food for lunch.\n33773,2019/12/31,I prepare a burger for dinner.,I prepare a burger for dinner.\n33774,2019/12/31,I spent 15 talking to Olivia on various topics in the morning.,I spent 15 talking to Olivia on various topics in the morning.\n33775,2019/12/31,\"I spent 51 talking to Claire, Hazel, Olivia, Piper on various topics in the early afternoon.\",\"I spent 51 talking to Claire, Hazel, Olivia, Piper on various topics in the early afternoon.\"\n33776,2019/12/31,\"I spent 8 talking to Piper, Nora, Avery, Eva on various topics in the late afternoon.\",\"I spent 8 talking to Piper, Nora, Avery, Eva on various topics in the late afternoon.\"\n33777,2019/12/31,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n33778,2019/12/31,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n33779,2020/01/01,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n33780,2020/01/01,\"I bought some cherres, peaches, pineapples, mineral water, soda, apple juice, toilet paper, toothbrush, toothpaste online.\",\"I bought some cherres, peaches, pineapples, mineral water, soda, apple juice, toilet paper, toothbrush, toothpaste online.\"\n33781,2020/01/01,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n33782,2020/01/01,\"I had lunch with Kayden, Carter. I ate fish and chips.\",\"I had lunch with Kayden, Carter. I ate fish and chips.\"\n33783,2020/01/01,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n33784,2020/01/01,\"I spent 8 talking to Hazel, Nora, Olivia, Nevaeh on various topics late in the evening.\",\"I spent 8 talking to Hazel, Nora, Olivia, Nevaeh on various topics late in the evening.\"\n33785,2020/01/01,I talked to Avery for 12 minutes late in the evening.,I talked to Avery for 12 minutes late in the evening.\n33786,2020/01/01,\"I spent 15 talking to Piper, Claire, Rylee, Layla on various topics late in the evening.\",\"I spent 15 talking to Piper, Claire, Rylee, Layla on various topics late in the evening.\"\n33787,2020/01/01,\"I talked to Hazel, Rylee for 42 minutes in the late afternoon.\",\"I talked to Hazel, Rylee for 42 minutes in the late afternoon.\"\n33788,2020/01/01,I watched a documentary for 45 minutes on TV today.,I watched a documentary for 45 minutes on TV today.\n33789,2020/01/02,I went on a date with Wesley on 2020/01/02 at a coffee Shop,I went on a date with Wesley on 2020/01/02 at a coffee Shop\n33790,2020/01/02,I did biking on 2020/01/02.,I did biking on 2020/01/02.\n33791,2020/01/02,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n33792,2020/01/02,I prepare indian food for lunch.,I prepare indian food for lunch.\n33793,2020/01/02,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n33794,2020/01/02,\"I spent 9 talking to Rylee, Nora, Lydia on various topics in the early evening.\",\"I spent 9 talking to Rylee, Nora, Lydia on various topics in the early evening.\"\n33795,2020/01/02,I spent 51 talking to Lydia on various topics in the late afternoon.,I spent 51 talking to Lydia on various topics in the late afternoon.\n33796,2020/01/02,\"I spent 35 talking to Lydia, Kinsley, Layla on various topics in the early evening.\",\"I spent 35 talking to Lydia, Kinsley, Layla on various topics in the early evening.\"\n33797,2020/01/02,I spent 43 talking to Layla on various topics during lunch hours.,I spent 43 talking to Layla on various topics during lunch hours.\n33798,2020/01/02,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n33799,2020/01/02,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n33800,2020/01/03,I did weight lifting on 2020/01/03.,I did weight lifting on 2020/01/03.\n33801,2020/01/03,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n33802,2020/01/03,\"I had indian food for lunch with Piper, Eva, Piper, Avery, Rylee, Layla\",\"I had indian food for lunch with Piper, Eva, Piper, Avery, Rylee, Layla\"\n33803,2020/01/03,\"I had dinner with Rylee, Nora, Piper, Piper, Hazel, Claire, Avery, Olivia, Lydia, Eva, Kinsley. I ate steak.\",\"I had dinner with Rylee, Nora, Piper, Piper, Hazel, Claire, Avery, Olivia, Lydia, Eva, Kinsley. I ate steak.\"\n33804,2020/01/03,I spent 55 talking to Rylee on various topics late in the evening.,I spent 55 talking to Rylee on various topics late in the evening.\n33805,2020/01/03,\"I spent 5 talking to Lydia, Piper on various topics in the early afternoon.\",\"I spent 5 talking to Lydia, Piper on various topics in the early afternoon.\"\n33806,2020/01/03,\"I talked to Rylee, Piper, Claire for 37 minutes in the early afternoon.\",\"I talked to Rylee, Piper, Claire for 37 minutes in the early afternoon.\"\n33807,2020/01/03,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n33808,2020/01/03,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n33809,2020/01/04,\"I spent time gardening on 2020/01/04 with Carter, Kayden.\",\"I spent time gardening on 2020/01/04 with Carter, Kayden.\"\n33810,2020/01/04,I did swimming on 2020/01/04.,I did swimming on 2020/01/04.\n33811,2020/01/04,\"I had cereals for breakfast with Carter, Kayden, Andrew\",\"I had cereals for breakfast with Carter, Kayden, Andrew\"\n33812,2020/01/04,I ate indian food for lunch.,I ate indian food for lunch.\n33813,2020/01/04,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n33814,2020/01/04,\"I spent 38 talking to Olivia, Avery, Layla on various topics in the early afternoon.\",\"I spent 38 talking to Olivia, Avery, Layla on various topics in the early afternoon.\"\n33815,2020/01/04,I talked to Piper for 24 minutes during lunch hours.,I talked to Piper for 24 minutes during lunch hours.\n33816,2020/01/04,I talked to Nevaeh for 28 minutes during lunch hours.,I talked to Nevaeh for 28 minutes during lunch hours.\n33817,2020/01/04,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n33818,2020/01/04,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n33819,2020/01/05,I went on a date with David on 2020/01/05 at a coffee Shop,I went on a date with David on 2020/01/05 at a coffee Shop\n33820,2020/01/05,I did hiking on 2020/01/05.,I did hiking on 2020/01/05.\n33821,2020/01/05,\"I had breakfast with Kinsley, Piper, Lydia, Claire, Nevaeh, Nora, Olivia, Eva, Rylee, Piper, Avery. I ate oatmeal.\",\"I had breakfast with Kinsley, Piper, Lydia, Claire, Nevaeh, Nora, Olivia, Eva, Rylee, Piper, Avery. I ate oatmeal.\"\n33822,2020/01/05,\"I had sandwich for lunch with Eva, Olivia, Nora, Claire, Hazel, Nevaeh\",\"I had sandwich for lunch with Eva, Olivia, Nora, Claire, Hazel, Nevaeh\"\n33823,2020/01/05,\"I had dinner with Jackson, Willow, Avery, Benjamin. I ate pasta.\",\"I had dinner with Jackson, Willow, Avery, Benjamin. I ate pasta.\"\n33824,2020/01/05,I spent 35 talking to Lydia on various topics in the early evening.,I spent 35 talking to Lydia on various topics in the early evening.\n33825,2020/01/05,\"I spent 12 talking to Lydia, Avery, Eva on various topics late in the evening.\",\"I spent 12 talking to Lydia, Avery, Eva on various topics late in the evening.\"\n33826,2020/01/05,I spent 27 talking to Layla on various topics late in the evening.,I spent 27 talking to Layla on various topics late in the evening.\n33827,2020/01/05,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n33828,2020/01/05,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n33829,2020/01/06,\"I went grocery shopping. I bought some raspberries, sports drinks, and shampoo\",\"I went grocery shopping. I bought some raspberries, sports drinks, and shampoo\"\n33830,2020/01/06,I did swimming on 2020/01/06.,I did swimming on 2020/01/06.\n33831,2020/01/06,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n33832,2020/01/06,I ate a burger for lunch.,I ate a burger for lunch.\n33833,2020/01/06,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n33834,2020/01/06,\"I spent 13 talking to Piper, Piper on various topics in the late afternoon.\",\"I spent 13 talking to Piper, Piper on various topics in the late afternoon.\"\n33835,2020/01/06,\"I spent 49 talking to Layla, Piper, Kinsley on various topics in the late afternoon.\",\"I spent 49 talking to Layla, Piper, Kinsley on various topics in the late afternoon.\"\n33836,2020/01/06,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n33837,2020/01/06,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n33838,2020/01/07,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n33839,2020/01/07,\"I had fish and chips for lunch with Carter, Kayden, Andrew, Emily\",\"I had fish and chips for lunch with Carter, Kayden, Andrew, Emily\"\n33840,2020/01/07,\"I had dinner with Nevaeh, Hazel, Claire, Lydia. I ate sushi.\",\"I had dinner with Nevaeh, Hazel, Claire, Lydia. I ate sushi.\"\n33841,2020/01/07,\"I spent 41 talking to Nevaeh, Piper on various topics during lunch hours.\",\"I spent 41 talking to Nevaeh, Piper on various topics during lunch hours.\"\n33842,2020/01/07,\"I talked to Eva, Nora, Claire for 20 minutes during lunch hours.\",\"I talked to Eva, Nora, Claire for 20 minutes during lunch hours.\"\n33843,2020/01/07,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n33844,2020/01/07,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n33845,2020/01/08,\"I bought some mandarins, oranges, cherres, bananas, chocolate milk, milk, apple juice, body lotion, facial wash, toothpaste, mouth wash online.\",\"I bought some mandarins, oranges, cherres, bananas, chocolate milk, milk, apple juice, body lotion, facial wash, toothpaste, mouth wash online.\"\n33846,2020/01/08,I did HIIT on 2020/01/08.,I did HIIT on 2020/01/08.\n33847,2020/01/08,\"I had peanut-butter-jam for breakfast with Piper, Avery, Hazel, Claire\",\"I had peanut-butter-jam for breakfast with Piper, Avery, Hazel, Claire\"\n33848,2020/01/08,\"I had fish and chips for lunch with Kayden, Andrew, Carter, Emily\",\"I had fish and chips for lunch with Kayden, Andrew, Carter, Emily\"\n33849,2020/01/08,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n33850,2020/01/08,I talked to Piper for 40 minutes in the morning.,I talked to Piper for 40 minutes in the morning.\n33851,2020/01/08,\"I talked to Piper, Hazel, Olivia, Rylee for 51 minutes in the late afternoon.\",\"I talked to Piper, Hazel, Olivia, Rylee for 51 minutes in the late afternoon.\"\n33852,2020/01/08,\"I spent 36 talking to Claire, Nora on various topics in the early evening.\",\"I spent 36 talking to Claire, Nora on various topics in the early evening.\"\n33853,2020/01/08,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n33854,2020/01/08,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n33855,2020/01/09,I did HIIT on 2020/01/09.,I did HIIT on 2020/01/09.\n33856,2020/01/09,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n33857,2020/01/09,\"I had lunch with Kinsley, Avery, Nora, Piper. I ate steak.\",\"I had lunch with Kinsley, Avery, Nora, Piper. I ate steak.\"\n33858,2020/01/09,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n33859,2020/01/09,\"I spent 31 talking to Olivia, Hazel on various topics in the early evening.\",\"I spent 31 talking to Olivia, Hazel on various topics in the early evening.\"\n33860,2020/01/09,\"I talked to Nevaeh, Claire for 48 minutes in the morning.\",\"I talked to Nevaeh, Claire for 48 minutes in the morning.\"\n33861,2020/01/09,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n33862,2020/01/09,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n33863,2020/01/10,I did biking on 2020/01/10.,I did biking on 2020/01/10.\n33864,2020/01/10,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n33865,2020/01/10,I ate sandwich for lunch.,I ate sandwich for lunch.\n33866,2020/01/10,\"I had fish and chips for dinner with Carter, Emily, Andrew, Kayden\",\"I had fish and chips for dinner with Carter, Emily, Andrew, Kayden\"\n33867,2020/01/10,\"I spent 25 talking to Claire, Olivia, Eva on various topics during lunch hours.\",\"I spent 25 talking to Claire, Olivia, Eva on various topics during lunch hours.\"\n33868,2020/01/10,\"I spent 53 talking to Nevaeh, Hazel on various topics in the morning.\",\"I spent 53 talking to Nevaeh, Hazel on various topics in the morning.\"\n33869,2020/01/10,\"I spent 42 talking to Avery, Claire on various topics during lunch hours.\",\"I spent 42 talking to Avery, Claire on various topics during lunch hours.\"\n33870,2020/01/10,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n33871,2020/01/10,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n33872,2020/01/11,I did running on 2020/01/11.,I did running on 2020/01/11.\n33873,2020/01/11,\"I had breakfast with Avery, Benjamin. I ate pancakes.\",\"I had breakfast with Avery, Benjamin. I ate pancakes.\"\n33874,2020/01/11,\"I had steak for lunch with Rylee, Nora, Piper, Kinsley, Lydia, Nevaeh, Hazel, Claire, Eva, Avery, Piper, Layla\",\"I had steak for lunch with Rylee, Nora, Piper, Kinsley, Lydia, Nevaeh, Hazel, Claire, Eva, Avery, Piper, Layla\"\n33875,2020/01/11,I ate sandwich for dinner.,I ate sandwich for dinner.\n33876,2020/01/11,\"I talked to Lydia, Piper, Hazel, Nevaeh for 5 minutes in the early evening.\",\"I talked to Lydia, Piper, Hazel, Nevaeh for 5 minutes in the early evening.\"\n33877,2020/01/11,I talked to Avery for 52 minutes in the early evening.,I talked to Avery for 52 minutes in the early evening.\n33878,2020/01/11,\"I talked to Hazel, Avery, Rylee for 23 minutes in the early afternoon.\",\"I talked to Hazel, Avery, Rylee for 23 minutes in the early afternoon.\"\n33879,2020/01/11,\"I spent 49 talking to Claire, Nevaeh, Avery, Hazel on various topics late in the evening.\",\"I spent 49 talking to Claire, Nevaeh, Avery, Hazel on various topics late in the evening.\"\n33880,2020/01/11,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n33881,2020/01/11,I spent 29 minutes watching a movie on TV today.,I spent 29 minutes watching a movie on TV today.\n33882,2020/01/12,I did HIIT on 2020/01/12.,I did HIIT on 2020/01/12.\n33883,2020/01/12,\"I had breakfast with Kayden, Andrew, Emily. I ate cereals.\",\"I had breakfast with Kayden, Andrew, Emily. I ate cereals.\"\n33884,2020/01/12,I ate sandwich for lunch.,I ate sandwich for lunch.\n33885,2020/01/12,I prepare indian food for dinner.,I prepare indian food for dinner.\n33886,2020/01/12,\"I talked to Eva, Hazel for 46 minutes in the late afternoon.\",\"I talked to Eva, Hazel for 46 minutes in the late afternoon.\"\n33887,2020/01/12,\"I talked to Olivia, Avery, Rylee, Piper for 15 minutes in the morning.\",\"I talked to Olivia, Avery, Rylee, Piper for 15 minutes in the morning.\"\n33888,2020/01/12,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n33889,2020/01/12,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n33890,2020/01/13,I did biking on 2020/01/13.,I did biking on 2020/01/13.\n33891,2020/01/13,I had breakfast with Willow. I ate cereals.,I had breakfast with Willow. I ate cereals.\n33892,2020/01/13,I prepare tacos for lunch.,I prepare tacos for lunch.\n33893,2020/01/13,I ate chinese food for dinner.,I ate chinese food for dinner.\n33894,2020/01/13,\"I spent 44 talking to Nora, Avery on various topics during lunch hours.\",\"I spent 44 talking to Nora, Avery on various topics during lunch hours.\"\n33895,2020/01/13,\"I talked to Piper, Hazel for 13 minutes in the morning.\",\"I talked to Piper, Hazel for 13 minutes in the morning.\"\n33896,2020/01/13,I spent 55 talking to Rylee on various topics in the late afternoon.,I spent 55 talking to Rylee on various topics in the late afternoon.\n33897,2020/01/13,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n33898,2020/01/13,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n33899,2020/01/14,\"I went grocery shopping. I bought some pineapples, guava juice, mango juice, milk, apple juice, and toothpaste, paper towel, body lotion, toilet paper\",\"I went grocery shopping. I bought some pineapples, guava juice, mango juice, milk, apple juice, and toothpaste, paper towel, body lotion, toilet paper\"\n33900,2020/01/14,I did hiking on 2020/01/14.,I did hiking on 2020/01/14.\n33901,2020/01/14,\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate eggs, sausages, and bread.\"\n33902,2020/01/14,I ate chinese food for lunch.,I ate chinese food for lunch.\n33903,2020/01/14,I ate tacos for dinner.,I ate tacos for dinner.\n33904,2020/01/14,\"I talked to Nora, Piper for 28 minutes in the morning.\",\"I talked to Nora, Piper for 28 minutes in the morning.\"\n33905,2020/01/14,\"I talked to Avery, Claire, Piper, Olivia for 14 minutes during lunch hours.\",\"I talked to Avery, Claire, Piper, Olivia for 14 minutes during lunch hours.\"\n33906,2020/01/14,I talked to Olivia for 43 minutes in the early afternoon.,I talked to Olivia for 43 minutes in the early afternoon.\n33907,2020/01/14,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n33908,2020/01/14,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n33909,2020/01/15,I did weight lifting on 2020/01/15.,I did weight lifting on 2020/01/15.\n33910,2020/01/15,\"I had breakfast with Andrew, Kayden, Emily, Carter. I ate cereals.\",\"I had breakfast with Andrew, Kayden, Emily, Carter. I ate cereals.\"\n33911,2020/01/15,I ate sandwich for lunch.,I ate sandwich for lunch.\n33912,2020/01/15,\"I had dinner with Kayden, Emily, Andrew, Carter. I ate sushi.\",\"I had dinner with Kayden, Emily, Andrew, Carter. I ate sushi.\"\n33913,2020/01/15,I talked to Piper for 46 minutes in the morning.,I talked to Piper for 46 minutes in the morning.\n33914,2020/01/15,\"I talked to Nora, Eva, Kinsley for 40 minutes in the morning.\",\"I talked to Nora, Eva, Kinsley for 40 minutes in the morning.\"\n33915,2020/01/15,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n33916,2020/01/15,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n33917,2020/01/16,I did running on 2020/01/16.,I did running on 2020/01/16.\n33918,2020/01/16,\"I had breakfast with Andrew, Kayden, Emily, Carter. I ate cereals.\",\"I had breakfast with Andrew, Kayden, Emily, Carter. I ate cereals.\"\n33919,2020/01/16,\"I had sandwich for lunch with Nevaeh, Layla, Hazel, Piper, Olivia, Avery\",\"I had sandwich for lunch with Nevaeh, Layla, Hazel, Piper, Olivia, Avery\"\n33920,2020/01/16,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n33921,2020/01/16,I spent 16 talking to Eva on various topics in the morning.,I spent 16 talking to Eva on various topics in the morning.\n33922,2020/01/16,\"I talked to Olivia, Avery, Rylee, Layla for 55 minutes in the early evening.\",\"I talked to Olivia, Avery, Rylee, Layla for 55 minutes in the early evening.\"\n33923,2020/01/16,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n33924,2020/01/16,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n33925,2020/01/17,\"I bought some raspberries, apricots, mango juice, chocolate milk, apple juice, soda, shampoo, toothbrush from the grocery store. I saw Avery, Rylee, Lydia at the grocery store.\",\"I bought some raspberries, apricots, mango juice, chocolate milk, apple juice, soda, shampoo, toothbrush from the grocery store. I saw Avery, Rylee, Lydia at the grocery store.\"\n33926,2020/01/17,I did HIIT on 2020/01/17.,I did HIIT on 2020/01/17.\n33927,2020/01/17,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n33928,2020/01/17,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n33929,2020/01/17,I ate tacos for dinner.,I ate tacos for dinner.\n33930,2020/01/17,\"I spent 18 talking to Nevaeh, Claire, Olivia on various topics in the early evening.\",\"I spent 18 talking to Nevaeh, Claire, Olivia on various topics in the early evening.\"\n33931,2020/01/17,\"I spent 15 talking to Rylee, Eva, Layla on various topics late in the evening.\",\"I spent 15 talking to Rylee, Eva, Layla on various topics late in the evening.\"\n33932,2020/01/17,\"I spent 50 talking to Olivia, Piper, Claire on various topics in the late afternoon.\",\"I spent 50 talking to Olivia, Piper, Claire on various topics in the late afternoon.\"\n33933,2020/01/17,\"I talked to Piper, Kinsley for 32 minutes in the morning.\",\"I talked to Piper, Kinsley for 32 minutes in the morning.\"\n33934,2020/01/17,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n33935,2020/01/17,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n33936,2020/01/18,I did swimming on 2020/01/18.,I did swimming on 2020/01/18.\n33937,2020/01/18,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n33938,2020/01/18,\"I had indian food for lunch with Andrew, Emily, Kayden, Carter\",\"I had indian food for lunch with Andrew, Emily, Kayden, Carter\"\n33939,2020/01/18,I prepare a burger for dinner.,I prepare a burger for dinner.\n33940,2020/01/18,I spent 19 talking to Layla on various topics in the morning.,I spent 19 talking to Layla on various topics in the morning.\n33941,2020/01/18,\"I talked to Hazel, Piper, Olivia, Lydia for 45 minutes in the early afternoon.\",\"I talked to Hazel, Piper, Olivia, Lydia for 45 minutes in the early afternoon.\"\n33942,2020/01/18,I talked to Nora for 13 minutes in the late afternoon.,I talked to Nora for 13 minutes in the late afternoon.\n33943,2020/01/18,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n33944,2020/01/18,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n33945,2020/01/19,I did biking on 2020/01/19.,I did biking on 2020/01/19.\n33946,2020/01/19,\"I had toast and cheese for breakfast with Emily, Carter\",\"I had toast and cheese for breakfast with Emily, Carter\"\n33947,2020/01/19,I ate chinese food for lunch.,I ate chinese food for lunch.\n33948,2020/01/19,\"I had a burger for dinner with Carter, Kayden, Andrew\",\"I had a burger for dinner with Carter, Kayden, Andrew\"\n33949,2020/01/19,I spent 34 talking to Nora on various topics in the early afternoon.,I spent 34 talking to Nora on various topics in the early afternoon.\n33950,2020/01/19,\"I talked to Piper, Olivia for 51 minutes in the late afternoon.\",\"I talked to Piper, Olivia for 51 minutes in the late afternoon.\"\n33951,2020/01/19,\"I talked to Olivia, Avery, Nevaeh for 48 minutes in the late afternoon.\",\"I talked to Olivia, Avery, Nevaeh for 48 minutes in the late afternoon.\"\n33952,2020/01/19,\"I spent 5 talking to Kinsley, Hazel, Lydia on various topics in the morning.\",\"I spent 5 talking to Kinsley, Hazel, Lydia on various topics in the morning.\"\n33953,2020/01/19,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n33954,2020/01/19,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n33955,2020/01/20,I did swimming on 2020/01/20.,I did swimming on 2020/01/20.\n33956,2020/01/20,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n33957,2020/01/20,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n33958,2020/01/20,I prepare pasta for dinner.,I prepare pasta for dinner.\n33959,2020/01/20,\"I talked to Nora, Piper for 8 minutes in the early afternoon.\",\"I talked to Nora, Piper for 8 minutes in the early afternoon.\"\n33960,2020/01/20,\"I talked to Layla, Kinsley for 41 minutes in the morning.\",\"I talked to Layla, Kinsley for 41 minutes in the morning.\"\n33961,2020/01/20,I talked to Claire for 25 minutes in the early evening.,I talked to Claire for 25 minutes in the early evening.\n33962,2020/01/20,\"I talked to Hazel, Olivia, Rylee, Kinsley for 7 minutes during lunch hours.\",\"I talked to Hazel, Olivia, Rylee, Kinsley for 7 minutes during lunch hours.\"\n33963,2020/01/20,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n33964,2020/01/20,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n33965,2020/01/21,\"I bought some mangos, milk, mouthwash, shampoo from the grocery store. I saw Carter, Andrew at the grocery store.\",\"I bought some mangos, milk, mouthwash, shampoo from the grocery store. I saw Carter, Andrew at the grocery store.\"\n33966,2020/01/21,I did weight lifting on 2020/01/21.,I did weight lifting on 2020/01/21.\n33967,2020/01/21,I ate cereals for breakfast.,I ate cereals for breakfast.\n33968,2020/01/21,\"I had lunch with Emily, Andrew, Kayden. I ate sushi.\",\"I had lunch with Emily, Andrew, Kayden. I ate sushi.\"\n33969,2020/01/21,I prepare pasta for dinner.,I prepare pasta for dinner.\n33970,2020/01/21,\"I talked to Layla, Piper, Lydia for 41 minutes late in the evening.\",\"I talked to Layla, Piper, Lydia for 41 minutes late in the evening.\"\n33971,2020/01/21,I spent 11 talking to Kinsley on various topics during lunch hours.,I spent 11 talking to Kinsley on various topics during lunch hours.\n33972,2020/01/21,\"I talked to Hazel, Avery, Olivia, Lydia for 38 minutes late in the evening.\",\"I talked to Hazel, Avery, Olivia, Lydia for 38 minutes late in the evening.\"\n33973,2020/01/21,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n33974,2020/01/21,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n33975,2020/01/22,I did hiking on 2020/01/22.,I did hiking on 2020/01/22.\n33976,2020/01/22,\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Carter, Emily\",\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Carter, Emily\"\n33977,2020/01/22,I ate tacos for lunch.,I ate tacos for lunch.\n33978,2020/01/22,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n33979,2020/01/22,\"I talked to Lydia, Rylee, Olivia, Eva for 23 minutes in the late afternoon.\",\"I talked to Lydia, Rylee, Olivia, Eva for 23 minutes in the late afternoon.\"\n33980,2020/01/22,\"I spent 25 talking to Layla, Nevaeh on various topics during lunch hours.\",\"I spent 25 talking to Layla, Nevaeh on various topics during lunch hours.\"\n33981,2020/01/22,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n33982,2020/01/22,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n33983,2020/01/23,I went on a date with Wang-Chiew on 2020/01/23 at a coffee Shop,I went on a date with Wang-Chiew on 2020/01/23 at a coffee Shop\n33984,2020/01/23,I really enjoyed working out on 2020/01/23,I really enjoyed working out on 2020/01/23\n33985,2020/01/23,I did biking on 2020/01/23.,I did biking on 2020/01/23.\n33986,2020/01/23,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n33987,2020/01/23,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n33988,2020/01/23,\"I had dinner with Willow, Avery, Jackson. I ate sushi.\",\"I had dinner with Willow, Avery, Jackson. I ate sushi.\"\n33989,2020/01/23,\"I spent 7 talking to Claire, Rylee on various topics during lunch hours.\",\"I spent 7 talking to Claire, Rylee on various topics during lunch hours.\"\n33990,2020/01/23,I talked to Nora for 13 minutes during lunch hours.,I talked to Nora for 13 minutes during lunch hours.\n33991,2020/01/23,I spent 26 talking to Piper on various topics during lunch hours.,I spent 26 talking to Piper on various topics during lunch hours.\n33992,2020/01/23,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n33993,2020/01/23,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n33994,2020/01/24,\"I went grocery shopping with Carter, Emily. I bought some peaches, nectarines, raspberries, sports drinks, tea, soda, and toothpaste, mouth wash, shaving cream, shampoo\",\"I went grocery shopping with Carter, Emily. I bought some peaches, nectarines, raspberries, sports drinks, tea, soda, and toothpaste, mouth wash, shaving cream, shampoo\"\n33995,2020/01/24,I did HIIT on 2020/01/24.,I did HIIT on 2020/01/24.\n33996,2020/01/24,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n33997,2020/01/24,\"I had lunch with Emily, Carter. I ate pasta.\",\"I had lunch with Emily, Carter. I ate pasta.\"\n33998,2020/01/24,I ate pasta for dinner.,I ate pasta for dinner.\n33999,2020/01/24,\"I talked to Hazel, Nora for 16 minutes during lunch hours.\",\"I talked to Hazel, Nora for 16 minutes during lunch hours.\"\n34000,2020/01/24,\"I spent 40 talking to Eva, Hazel, Lydia, Kinsley on various topics in the late afternoon.\",\"I spent 40 talking to Eva, Hazel, Lydia, Kinsley on various topics in the late afternoon.\"\n34001,2020/01/24,I talked to Olivia for 11 minutes during lunch hours.,I talked to Olivia for 11 minutes during lunch hours.\n34002,2020/01/24,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n34003,2020/01/24,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n34004,2020/01/25,I did running on 2020/01/25.,I did running on 2020/01/25.\n34005,2020/01/25,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n34006,2020/01/25,I ate chinese food for lunch.,I ate chinese food for lunch.\n34007,2020/01/25,I had dinner with Kayden. I ate sushi.,I had dinner with Kayden. I ate sushi.\n34008,2020/01/25,\"I talked to Kinsley, Olivia for 5 minutes in the morning.\",\"I talked to Kinsley, Olivia for 5 minutes in the morning.\"\n34009,2020/01/25,\"I talked to Rylee, Layla, Olivia for 44 minutes in the early evening.\",\"I talked to Rylee, Layla, Olivia for 44 minutes in the early evening.\"\n34010,2020/01/25,\"I spent 46 talking to Olivia, Nora, Lydia, Piper on various topics late in the evening.\",\"I spent 46 talking to Olivia, Nora, Lydia, Piper on various topics late in the evening.\"\n34011,2020/01/25,\"I spent 26 talking to Nora, Nevaeh on various topics in the morning.\",\"I spent 26 talking to Nora, Nevaeh on various topics in the morning.\"\n34012,2020/01/25,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n34013,2020/01/25,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n34014,2020/01/26,\"I entertained Kayden, Emily, Andrew at my place on 2020/01/26 and bake carrot cake, peanut butter cookies\",\"I entertained Kayden, Emily, Andrew at my place on 2020/01/26 and bake carrot cake, peanut butter cookies\"\n34015,2020/01/26,I went on a date with Ivy on 2020/01/26 at a boba shop,I went on a date with Ivy on 2020/01/26 at a boba shop\n34016,2020/01/26,I did biking on 2020/01/26.,I did biking on 2020/01/26.\n34017,2020/01/26,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n34018,2020/01/26,\"I had lunch with Kayden, Carter, Andrew. I ate chinese food.\",\"I had lunch with Kayden, Carter, Andrew. I ate chinese food.\"\n34019,2020/01/26,\"I had pasta for dinner with Piper, Nevaeh, Kinsley, Piper, Hazel, Layla, Olivia, Eva, Claire, Lydia\",\"I had pasta for dinner with Piper, Nevaeh, Kinsley, Piper, Hazel, Layla, Olivia, Eva, Claire, Lydia\"\n34020,2020/01/26,\"I spent 14 talking to Olivia, Rylee, Hazel on various topics during lunch hours.\",\"I spent 14 talking to Olivia, Rylee, Hazel on various topics during lunch hours.\"\n34021,2020/01/26,\"I spent 7 talking to Claire, Nora, Rylee on various topics during lunch hours.\",\"I spent 7 talking to Claire, Nora, Rylee on various topics during lunch hours.\"\n34022,2020/01/26,\"I talked to Piper, Nora, Nevaeh, Lydia for 48 minutes in the late afternoon.\",\"I talked to Piper, Nora, Nevaeh, Lydia for 48 minutes in the late afternoon.\"\n34023,2020/01/26,\"I talked to Piper, Rylee, Layla, Hazel for 50 minutes in the early evening.\",\"I talked to Piper, Rylee, Layla, Hazel for 50 minutes in the early evening.\"\n34024,2020/01/26,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n34025,2020/01/26,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n34026,2020/01/27,\"I went grocery shopping. I bought some peaches, oranges, milk, coffee, and facial wash, shampoo, body lotion, mouthwash\",\"I went grocery shopping. I bought some peaches, oranges, milk, coffee, and facial wash, shampoo, body lotion, mouthwash\"\n34027,2020/01/27,I did hiking on 2020/01/27.,I did hiking on 2020/01/27.\n34028,2020/01/27,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n34029,2020/01/27,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n34030,2020/01/27,\"I had dinner with Jackson, Avery, Willow, Benjamin. I ate pasta.\",\"I had dinner with Jackson, Avery, Willow, Benjamin. I ate pasta.\"\n34031,2020/01/27,\"I spent 33 talking to Olivia, Avery, Eva on various topics in the early evening.\",\"I spent 33 talking to Olivia, Avery, Eva on various topics in the early evening.\"\n34032,2020/01/27,\"I spent 7 talking to Hazel, Piper, Olivia on various topics during lunch hours.\",\"I spent 7 talking to Hazel, Piper, Olivia on various topics during lunch hours.\"\n34033,2020/01/27,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n34034,2020/01/27,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n34035,2020/01/28,I did weight lifting on 2020/01/28.,I did weight lifting on 2020/01/28.\n34036,2020/01/28,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n34037,2020/01/28,I had sandwich for lunch with Rylee,I had sandwich for lunch with Rylee\n34038,2020/01/28,\"I had dinner with Carter, Emily, Kayden. I ate a burger.\",\"I had dinner with Carter, Emily, Kayden. I ate a burger.\"\n34039,2020/01/28,\"I spent 24 talking to Nora, Kinsley on various topics late in the evening.\",\"I spent 24 talking to Nora, Kinsley on various topics late in the evening.\"\n34040,2020/01/28,I spent 9 talking to Lydia on various topics in the late afternoon.,I spent 9 talking to Lydia on various topics in the late afternoon.\n34041,2020/01/28,I talked to Olivia for 55 minutes late in the evening.,I talked to Olivia for 55 minutes late in the evening.\n34042,2020/01/28,\"I talked to Nevaeh, Eva for 6 minutes late in the evening.\",\"I talked to Nevaeh, Eva for 6 minutes late in the evening.\"\n34043,2020/01/28,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n34044,2020/01/28,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n34045,2020/01/29,I went on a date with Skylar on 2020/01/29 at a boba shop,I went on a date with Skylar on 2020/01/29 at a boba shop\n34046,2020/01/29,I did swimming on 2020/01/29.,I did swimming on 2020/01/29.\n34047,2020/01/29,\"I had peanut-butter-jam for breakfast with Emily, Kayden\",\"I had peanut-butter-jam for breakfast with Emily, Kayden\"\n34048,2020/01/29,I ate sandwich for lunch.,I ate sandwich for lunch.\n34049,2020/01/29,\"I had fish and chips for dinner with Hazel, Eva, Piper, Nevaeh\",\"I had fish and chips for dinner with Hazel, Eva, Piper, Nevaeh\"\n34050,2020/01/29,I talked to Hazel for 20 minutes during lunch hours.,I talked to Hazel for 20 minutes during lunch hours.\n34051,2020/01/29,\"I spent 25 talking to Rylee, Nevaeh, Layla, Olivia on various topics late in the evening.\",\"I spent 25 talking to Rylee, Nevaeh, Layla, Olivia on various topics late in the evening.\"\n34052,2020/01/29,\"I talked to Piper, Claire, Rylee, Piper for 26 minutes in the morning.\",\"I talked to Piper, Claire, Rylee, Piper for 26 minutes in the morning.\"\n34053,2020/01/29,\"I spent 41 talking to Kinsley, Rylee, Eva, Lydia on various topics in the early evening.\",\"I spent 41 talking to Kinsley, Rylee, Eva, Lydia on various topics in the early evening.\"\n34054,2020/01/29,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n34055,2020/01/29,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n34056,2020/01/30,I spent time learning a language on 2020/01/30 with Emily.,I spent time learning a language on 2020/01/30 with Emily.\n34057,2020/01/30,I did running on 2020/01/30.,I did running on 2020/01/30.\n34058,2020/01/30,\"I had oatmeal for breakfast with Hazel, Eva, Kinsley, Avery, Olivia, Nevaeh\",\"I had oatmeal for breakfast with Hazel, Eva, Kinsley, Avery, Olivia, Nevaeh\"\n34059,2020/01/30,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n34060,2020/01/30,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n34061,2020/01/30,\"I talked to Claire, Nora, Olivia, Piper for 23 minutes in the morning.\",\"I talked to Claire, Nora, Olivia, Piper for 23 minutes in the morning.\"\n34062,2020/01/30,\"I spent 19 talking to Avery, Nora, Piper on various topics during lunch hours.\",\"I spent 19 talking to Avery, Nora, Piper on various topics during lunch hours.\"\n34063,2020/01/30,\"I talked to Nevaeh, Claire, Rylee for 43 minutes late in the evening.\",\"I talked to Nevaeh, Claire, Rylee for 43 minutes late in the evening.\"\n34064,2020/01/30,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n34065,2020/01/30,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n34066,2020/01/31,I did biking on 2020/01/31.,I did biking on 2020/01/31.\n34067,2020/01/31,\"I had peanut-butter-jam for breakfast with Andrew, Emily, Carter, Kayden\",\"I had peanut-butter-jam for breakfast with Andrew, Emily, Carter, Kayden\"\n34068,2020/01/31,\"I had lunch with Nevaeh, Layla, Avery, Piper, Hazel, Kinsley, Rylee, Olivia. I ate pasta.\",\"I had lunch with Nevaeh, Layla, Avery, Piper, Hazel, Kinsley, Rylee, Olivia. I ate pasta.\"\n34069,2020/01/31,I had steak for dinner with Avery,I had steak for dinner with Avery\n34070,2020/01/31,I talked to Piper for 39 minutes in the late afternoon.,I talked to Piper for 39 minutes in the late afternoon.\n34071,2020/01/31,\"I talked to Piper, Claire, Layla, Nora for 39 minutes in the early evening.\",\"I talked to Piper, Claire, Layla, Nora for 39 minutes in the early evening.\"\n34072,2020/01/31,\"I spent 9 talking to Lydia, Nora on various topics during lunch hours.\",\"I spent 9 talking to Lydia, Nora on various topics during lunch hours.\"\n34073,2020/01/31,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n34074,2020/01/31,I spent 33 minutes watching a movie on TV today.,I spent 33 minutes watching a movie on TV today.\n34075,2020/02/01,\"On 2020/02/01, I took Ezra on a date to a boba shop\",\"On 2020/02/01, I took Ezra on a date to a boba shop\"\n34076,2020/02/01,I did biking on 2020/02/01.,I did biking on 2020/02/01.\n34077,2020/02/01,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n34078,2020/02/01,\"I had steak for lunch with Kinsley, Avery, Piper\",\"I had steak for lunch with Kinsley, Avery, Piper\"\n34079,2020/02/01,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n34080,2020/02/01,\"I talked to Eva, Nevaeh for 5 minutes in the morning.\",\"I talked to Eva, Nevaeh for 5 minutes in the morning.\"\n34081,2020/02/01,\"I talked to Avery, Lydia, Claire for 22 minutes in the late afternoon.\",\"I talked to Avery, Lydia, Claire for 22 minutes in the late afternoon.\"\n34082,2020/02/01,\"I spent 30 talking to Piper, Olivia, Rylee on various topics late in the evening.\",\"I spent 30 talking to Piper, Olivia, Rylee on various topics late in the evening.\"\n34083,2020/02/01,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n34084,2020/02/01,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n34085,2020/02/02,my parents for their and I went for an annual physical checkup at the private clinic on 2020/02/02.,my parents for their and I went for an annual physical checkup at the private clinic on 2020/02/02.\n34086,2020/02/02,I really enjoyed gardening on 2020/02/02,I really enjoyed gardening on 2020/02/02\n34087,2020/02/02,I did weight lifting on 2020/02/02.,I did weight lifting on 2020/02/02.\n34088,2020/02/02,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n34089,2020/02/02,I ate indian food for lunch.,I ate indian food for lunch.\n34090,2020/02/02,I prepare a burger for dinner.,I prepare a burger for dinner.\n34091,2020/02/02,\"I spent 8 talking to Hazel, Claire, Layla on various topics in the late afternoon.\",\"I spent 8 talking to Hazel, Claire, Layla on various topics in the late afternoon.\"\n34092,2020/02/02,I spent 9 talking to Kinsley on various topics in the morning.,I spent 9 talking to Kinsley on various topics in the morning.\n34093,2020/02/02,\"I spent 42 talking to Nevaeh, Hazel, Kinsley, Lydia on various topics in the morning.\",\"I spent 42 talking to Nevaeh, Hazel, Kinsley, Lydia on various topics in the morning.\"\n34094,2020/02/02,\"I spent 6 talking to Avery, Nora on various topics in the morning.\",\"I spent 6 talking to Avery, Nora on various topics in the morning.\"\n34095,2020/02/02,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n34096,2020/02/02,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n34097,2020/02/03,\"I bought some apples, watermelons, blueberries, oranges, soda, pineapple juice, coffee, mineral water, conditioner, facial wash online.\",\"I bought some apples, watermelons, blueberries, oranges, soda, pineapple juice, coffee, mineral water, conditioner, facial wash online.\"\n34098,2020/02/03,I did biking on 2020/02/03.,I did biking on 2020/02/03.\n34099,2020/02/03,\"I had breakfast with Emily, Andrew, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew, Carter. I ate peanut-butter-jam.\"\n34100,2020/02/03,\"I had lunch with Avery, Benjamin. I ate chinese food.\",\"I had lunch with Avery, Benjamin. I ate chinese food.\"\n34101,2020/02/03,I had dinner with Jackson. I ate fish and chips.,I had dinner with Jackson. I ate fish and chips.\n34102,2020/02/03,\"I talked to Rylee, Olivia for 32 minutes during lunch hours.\",\"I talked to Rylee, Olivia for 32 minutes during lunch hours.\"\n34103,2020/02/03,\"I spent 7 talking to Nevaeh, Avery, Lydia on various topics in the morning.\",\"I spent 7 talking to Nevaeh, Avery, Lydia on various topics in the morning.\"\n34104,2020/02/03,\"I talked to Claire, Nora, Rylee for 20 minutes during lunch hours.\",\"I talked to Claire, Nora, Rylee for 20 minutes during lunch hours.\"\n34105,2020/02/03,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n34106,2020/02/03,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n34107,2020/02/04,I did weight lifting on 2020/02/04.,I did weight lifting on 2020/02/04.\n34108,2020/02/04,I ate cereals for breakfast.,I ate cereals for breakfast.\n34109,2020/02/04,I prepare a burger for lunch.,I prepare a burger for lunch.\n34110,2020/02/04,I prepare pasta for dinner.,I prepare pasta for dinner.\n34111,2020/02/04,\"I talked to Kinsley, Lydia, Hazel, Piper for 8 minutes in the morning.\",\"I talked to Kinsley, Lydia, Hazel, Piper for 8 minutes in the morning.\"\n34112,2020/02/04,\"I talked to Rylee, Eva for 19 minutes during lunch hours.\",\"I talked to Rylee, Eva for 19 minutes during lunch hours.\"\n34113,2020/02/04,I talked to Olivia for 17 minutes during lunch hours.,I talked to Olivia for 17 minutes during lunch hours.\n34114,2020/02/04,\"I spent 26 talking to Piper, Layla, Kinsley on various topics during lunch hours.\",\"I spent 26 talking to Piper, Layla, Kinsley on various topics during lunch hours.\"\n34115,2020/02/04,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n34116,2020/02/04,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n34117,2020/02/05,\"On 2020/02/05, I took Jose on a date to a boba shop\",\"On 2020/02/05, I took Jose on a date to a boba shop\"\n34118,2020/02/05,I did hiking on 2020/02/05.,I did hiking on 2020/02/05.\n34119,2020/02/05,\"I had breakfast with Benjamin. I ate eggs, sausages, and bread.\",\"I had breakfast with Benjamin. I ate eggs, sausages, and bread.\"\n34120,2020/02/05,I ate steak for lunch.,I ate steak for lunch.\n34121,2020/02/05,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n34122,2020/02/05,\"I talked to Nora, Olivia, Kinsley, Eva for 8 minutes during lunch hours.\",\"I talked to Nora, Olivia, Kinsley, Eva for 8 minutes during lunch hours.\"\n34123,2020/02/05,\"I spent 47 talking to Eva, Layla, Piper on various topics in the morning.\",\"I spent 47 talking to Eva, Layla, Piper on various topics in the morning.\"\n34124,2020/02/05,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n34125,2020/02/05,I watched a movie for 17 minutes on TV today.,I watched a movie for 17 minutes on TV today.\n34126,2020/02/06,\"I entertained Emily, Andrew, Kayden, Carter at my place on 2020/02/06 and cook naan bread, ground turkey vegetable soup\",\"I entertained Emily, Andrew, Kayden, Carter at my place on 2020/02/06 and cook naan bread, ground turkey vegetable soup\"\n34127,2020/02/06,I spent some time learning a language on 2020/02/06.,I spent some time learning a language on 2020/02/06.\n34128,2020/02/06,\"I bought some oranges, peaches, mangos, apricots, mineral water, milk, toothbrush, facial wash, mouth wash, toothpaste online.\",\"I bought some oranges, peaches, mangos, apricots, mineral water, milk, toothbrush, facial wash, mouth wash, toothpaste online.\"\n34129,2020/02/06,I did hiking on 2020/02/06.,I did hiking on 2020/02/06.\n34130,2020/02/06,\"I had breakfast with Avery, Rylee, Claire, Piper, Piper, Nora, Layla, Hazel, Nevaeh, Olivia, Lydia, Eva, Kinsley. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Rylee, Claire, Piper, Piper, Nora, Layla, Hazel, Nevaeh, Olivia, Lydia, Eva, Kinsley. I ate peanut-butter-jam.\"\n34131,2020/02/06,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n34132,2020/02/06,I had dinner. I ate steak.,I had dinner. I ate steak.\n34133,2020/02/06,I talked to Piper for 5 minutes during lunch hours.,I talked to Piper for 5 minutes during lunch hours.\n34134,2020/02/06,\"I talked to Claire, Avery for 11 minutes in the morning.\",\"I talked to Claire, Avery for 11 minutes in the morning.\"\n34135,2020/02/06,\"I talked to Avery, Lydia, Hazel for 34 minutes in the early afternoon.\",\"I talked to Avery, Lydia, Hazel for 34 minutes in the early afternoon.\"\n34136,2020/02/06,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n34137,2020/02/06,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n34138,2020/02/07,I did HIIT on 2020/02/07.,I did HIIT on 2020/02/07.\n34139,2020/02/07,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n34140,2020/02/07,I ate sushi for lunch.,I ate sushi for lunch.\n34141,2020/02/07,\"I had steak for dinner with Jackson, Willow, Benjamin, Avery\",\"I had steak for dinner with Jackson, Willow, Benjamin, Avery\"\n34142,2020/02/07,\"I talked to Layla, Hazel for 36 minutes in the early afternoon.\",\"I talked to Layla, Hazel for 36 minutes in the early afternoon.\"\n34143,2020/02/07,I spent 10 talking to Eva on various topics in the early evening.,I spent 10 talking to Eva on various topics in the early evening.\n34144,2020/02/07,\"I talked to Nevaeh, Avery, Kinsley for 54 minutes in the early afternoon.\",\"I talked to Nevaeh, Avery, Kinsley for 54 minutes in the early afternoon.\"\n34145,2020/02/07,\"I spent 48 talking to Nevaeh, Hazel on various topics during lunch hours.\",\"I spent 48 talking to Nevaeh, Hazel on various topics during lunch hours.\"\n34146,2020/02/07,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n34147,2020/02/07,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n34148,2020/02/08,I did hiking on 2020/02/08.,I did hiking on 2020/02/08.\n34149,2020/02/08,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n34150,2020/02/08,\"I had lunch with Avery, Willow, Jackson. I ate sandwich.\",\"I had lunch with Avery, Willow, Jackson. I ate sandwich.\"\n34151,2020/02/08,I had fish and chips for dinner with Willow,I had fish and chips for dinner with Willow\n34152,2020/02/08,I spent 33 talking to Rylee on various topics in the late afternoon.,I spent 33 talking to Rylee on various topics in the late afternoon.\n34153,2020/02/08,\"I spent 35 talking to Avery, Olivia, Nora, Lydia on various topics in the early evening.\",\"I spent 35 talking to Avery, Olivia, Nora, Lydia on various topics in the early evening.\"\n34154,2020/02/08,\"I spent 11 talking to Claire, Layla on various topics during lunch hours.\",\"I spent 11 talking to Claire, Layla on various topics during lunch hours.\"\n34155,2020/02/08,\"I spent 9 talking to Piper, Hazel, Avery, Layla on various topics late in the evening.\",\"I spent 9 talking to Piper, Hazel, Avery, Layla on various topics late in the evening.\"\n34156,2020/02/08,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n34157,2020/02/08,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n34158,2020/02/09,I did running on 2020/02/09.,I did running on 2020/02/09.\n34159,2020/02/09,I ate cereals for breakfast.,I ate cereals for breakfast.\n34160,2020/02/09,I had lunch with Andrew. I ate tacos.,I had lunch with Andrew. I ate tacos.\n34161,2020/02/09,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n34162,2020/02/09,I spent 23 talking to Rylee on various topics in the early evening.,I spent 23 talking to Rylee on various topics in the early evening.\n34163,2020/02/09,\"I spent 23 talking to Avery, Olivia, Hazel on various topics in the early evening.\",\"I spent 23 talking to Avery, Olivia, Hazel on various topics in the early evening.\"\n34164,2020/02/09,\"I talked to Lydia, Piper for 32 minutes late in the evening.\",\"I talked to Lydia, Piper for 32 minutes late in the evening.\"\n34165,2020/02/09,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n34166,2020/02/09,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n34167,2020/02/10,\"On 2020/02/10, I took Mike on a date to a park\",\"On 2020/02/10, I took Mike on a date to a park\"\n34168,2020/02/10,I did biking on 2020/02/10.,I did biking on 2020/02/10.\n34169,2020/02/10,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n34170,2020/02/10,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n34171,2020/02/10,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n34172,2020/02/10,\"I talked to Eva, Layla for 21 minutes in the early afternoon.\",\"I talked to Eva, Layla for 21 minutes in the early afternoon.\"\n34173,2020/02/10,\"I spent 15 talking to Claire, Olivia on various topics in the late afternoon.\",\"I spent 15 talking to Claire, Olivia on various topics in the late afternoon.\"\n34174,2020/02/10,\"I talked to Piper, Layla, Kinsley for 19 minutes in the early afternoon.\",\"I talked to Piper, Layla, Kinsley for 19 minutes in the early afternoon.\"\n34175,2020/02/10,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n34176,2020/02/10,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n34177,2020/02/11,\"I went grocery shopping with Piper, Olivia, Eva, Hazel, Layla. I bought some apples, cherres, blackberries, blueberries, orange juice, mineral water, soda, and body lotion, toothpaste\",\"I went grocery shopping with Piper, Olivia, Eva, Hazel, Layla. I bought some apples, cherres, blackberries, blueberries, orange juice, mineral water, soda, and body lotion, toothpaste\"\n34178,2020/02/11,I did biking on 2020/02/11.,I did biking on 2020/02/11.\n34179,2020/02/11,\"I had breakfast with Olivia, Layla, Piper, Lydia, Nora, Piper. I ate toast and cheese.\",\"I had breakfast with Olivia, Layla, Piper, Lydia, Nora, Piper. I ate toast and cheese.\"\n34180,2020/02/11,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n34181,2020/02/11,I had dinner. I ate steak.,I had dinner. I ate steak.\n34182,2020/02/11,I spent 25 talking to Hazel on various topics in the morning.,I spent 25 talking to Hazel on various topics in the morning.\n34183,2020/02/11,I spent 15 talking to Kinsley on various topics late in the evening.,I spent 15 talking to Kinsley on various topics late in the evening.\n34184,2020/02/11,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n34185,2020/02/11,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n34186,2020/02/12,I spent some time yoga on 2020/02/12.,I spent some time yoga on 2020/02/12.\n34187,2020/02/12,\"I bought some watermelons, coffee, soda, toothpaste from the grocery store. I saw Jackson, Avery at the grocery store.\",\"I bought some watermelons, coffee, soda, toothpaste from the grocery store. I saw Jackson, Avery at the grocery store.\"\n34188,2020/02/12,I did HIIT on 2020/02/12.,I did HIIT on 2020/02/12.\n34189,2020/02/12,\"I had eggs, sausages, and bread for breakfast with Piper, Eva, Claire, Kinsley, Hazel, Piper, Layla, Avery, Nora\",\"I had eggs, sausages, and bread for breakfast with Piper, Eva, Claire, Kinsley, Hazel, Piper, Layla, Avery, Nora\"\n34190,2020/02/12,I had pasta for lunch with Nora,I had pasta for lunch with Nora\n34191,2020/02/12,I ate pasta for dinner.,I ate pasta for dinner.\n34192,2020/02/12,I spent 17 talking to Nora on various topics in the morning.,I spent 17 talking to Nora on various topics in the morning.\n34193,2020/02/12,\"I talked to Olivia, Rylee, Nora, Kinsley for 8 minutes during lunch hours.\",\"I talked to Olivia, Rylee, Nora, Kinsley for 8 minutes during lunch hours.\"\n34194,2020/02/12,\"I spent 11 talking to Lydia, Rylee on various topics in the early evening.\",\"I spent 11 talking to Lydia, Rylee on various topics in the early evening.\"\n34195,2020/02/12,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n34196,2020/02/12,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n34197,2020/02/13,\"On 2020/02/13, I took Ian on a date to a restaurant\",\"On 2020/02/13, I took Ian on a date to a restaurant\"\n34198,2020/02/13,I did hiking on 2020/02/13.,I did hiking on 2020/02/13.\n34199,2020/02/13,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n34200,2020/02/13,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n34201,2020/02/13,\"I had steak for dinner with Willow, Benjamin\",\"I had steak for dinner with Willow, Benjamin\"\n34202,2020/02/13,\"I spent 20 talking to Kinsley, Rylee, Claire, Piper on various topics in the early afternoon.\",\"I spent 20 talking to Kinsley, Rylee, Claire, Piper on various topics in the early afternoon.\"\n34203,2020/02/13,I talked to Nevaeh for 51 minutes in the late afternoon.,I talked to Nevaeh for 51 minutes in the late afternoon.\n34204,2020/02/13,\"I talked to Piper, Avery, Kinsley for 47 minutes in the late afternoon.\",\"I talked to Piper, Avery, Kinsley for 47 minutes in the late afternoon.\"\n34205,2020/02/13,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n34206,2020/02/13,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n34207,2020/02/14,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n34208,2020/02/14,I had lunch. I ate steak.,I had lunch. I ate steak.\n34209,2020/02/14,I prepare sushi for dinner.,I prepare sushi for dinner.\n34210,2020/02/14,\"I talked to Avery, Layla, Rylee, Nevaeh for 48 minutes in the late afternoon.\",\"I talked to Avery, Layla, Rylee, Nevaeh for 48 minutes in the late afternoon.\"\n34211,2020/02/14,\"I talked to Piper, Avery, Lydia for 47 minutes in the late afternoon.\",\"I talked to Piper, Avery, Lydia for 47 minutes in the late afternoon.\"\n34212,2020/02/14,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n34213,2020/02/14,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n34214,2020/02/15,\"I went grocery shopping with Emily. I bought some guava, nectarines, mandarins, mineral water, apple juice, orange juice, and body lotion, mouth wash, toothbrush, conditioner\",\"I went grocery shopping with Emily. I bought some guava, nectarines, mandarins, mineral water, apple juice, orange juice, and body lotion, mouth wash, toothbrush, conditioner\"\n34215,2020/02/15,I did weight lifting on 2020/02/15.,I did weight lifting on 2020/02/15.\n34216,2020/02/15,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n34217,2020/02/15,I ate pasta for lunch.,I ate pasta for lunch.\n34218,2020/02/15,\"I had chinese food for dinner with Emily, Carter\",\"I had chinese food for dinner with Emily, Carter\"\n34219,2020/02/15,I spent 22 talking to Rylee on various topics late in the evening.,I spent 22 talking to Rylee on various topics late in the evening.\n34220,2020/02/15,\"I spent 19 talking to Hazel, Avery, Eva, Piper on various topics in the early afternoon.\",\"I spent 19 talking to Hazel, Avery, Eva, Piper on various topics in the early afternoon.\"\n34221,2020/02/15,I talked to Piper for 14 minutes late in the evening.,I talked to Piper for 14 minutes late in the evening.\n34222,2020/02/15,\"I spent 37 talking to Piper, Layla, Claire, Piper on various topics in the early evening.\",\"I spent 37 talking to Piper, Layla, Claire, Piper on various topics in the early evening.\"\n34223,2020/02/15,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n34224,2020/02/15,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n34225,2020/02/16,I did weight lifting on 2020/02/16.,I did weight lifting on 2020/02/16.\n34226,2020/02/16,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n34227,2020/02/16,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n34228,2020/02/16,\"I had chinese food for dinner with Jackson, Avery\",\"I had chinese food for dinner with Jackson, Avery\"\n34229,2020/02/16,I spent 39 talking to Kinsley on various topics in the early afternoon.,I spent 39 talking to Kinsley on various topics in the early afternoon.\n34230,2020/02/16,\"I talked to Avery, Nevaeh for 48 minutes in the morning.\",\"I talked to Avery, Nevaeh for 48 minutes in the morning.\"\n34231,2020/02/16,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n34232,2020/02/16,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n34233,2020/02/17,I did biking on 2020/02/17.,I did biking on 2020/02/17.\n34234,2020/02/17,\"I had breakfast with Olivia, Hazel, Rylee. I ate eggs, sausages, and bread.\",\"I had breakfast with Olivia, Hazel, Rylee. I ate eggs, sausages, and bread.\"\n34235,2020/02/17,I prepare pasta for lunch.,I prepare pasta for lunch.\n34236,2020/02/17,I ate sushi for dinner.,I ate sushi for dinner.\n34237,2020/02/17,I talked to Nora for 39 minutes in the late afternoon.,I talked to Nora for 39 minutes in the late afternoon.\n34238,2020/02/17,\"I spent 40 talking to Nevaeh, Claire, Nora on various topics in the early evening.\",\"I spent 40 talking to Nevaeh, Claire, Nora on various topics in the early evening.\"\n34239,2020/02/17,\"I talked to Olivia, Rylee, Piper for 16 minutes during lunch hours.\",\"I talked to Olivia, Rylee, Piper for 16 minutes during lunch hours.\"\n34240,2020/02/17,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n34241,2020/02/17,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n34242,2020/02/18,\"On 2020/02/18, I took Leo on a date to a restaurant\",\"On 2020/02/18, I took Leo on a date to a restaurant\"\n34243,2020/02/18,I did HIIT on 2020/02/18.,I did HIIT on 2020/02/18.\n34244,2020/02/18,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n34245,2020/02/18,I had lunch with Andrew. I ate sandwich.,I had lunch with Andrew. I ate sandwich.\n34246,2020/02/18,\"I had pasta for dinner with Olivia, Piper, Layla, Piper\",\"I had pasta for dinner with Olivia, Piper, Layla, Piper\"\n34247,2020/02/18,\"I talked to Nevaeh, Lydia, Rylee, Layla for 50 minutes in the late afternoon.\",\"I talked to Nevaeh, Lydia, Rylee, Layla for 50 minutes in the late afternoon.\"\n34248,2020/02/18,\"I talked to Kinsley, Hazel, Avery, Lydia for 9 minutes during lunch hours.\",\"I talked to Kinsley, Hazel, Avery, Lydia for 9 minutes during lunch hours.\"\n34249,2020/02/18,I talked to Rylee for 25 minutes in the early afternoon.,I talked to Rylee for 25 minutes in the early afternoon.\n34250,2020/02/18,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n34251,2020/02/18,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n34252,2020/02/19,I did swimming on 2020/02/19.,I did swimming on 2020/02/19.\n34253,2020/02/19,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n34254,2020/02/19,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n34255,2020/02/19,\"I had dinner with Lydia, Eva, Rylee, Nevaeh, Nora, Claire, Avery, Olivia, Kinsley, Hazel, Layla, Piper, Piper. I ate tacos.\",\"I had dinner with Lydia, Eva, Rylee, Nevaeh, Nora, Claire, Avery, Olivia, Kinsley, Hazel, Layla, Piper, Piper. I ate tacos.\"\n34256,2020/02/19,\"I talked to Nora, Hazel, Nevaeh for 10 minutes in the morning.\",\"I talked to Nora, Hazel, Nevaeh for 10 minutes in the morning.\"\n34257,2020/02/19,\"I spent 34 talking to Layla, Olivia, Eva on various topics late in the evening.\",\"I spent 34 talking to Layla, Olivia, Eva on various topics late in the evening.\"\n34258,2020/02/19,\"I talked to Eva, Piper, Lydia for 35 minutes in the early afternoon.\",\"I talked to Eva, Piper, Lydia for 35 minutes in the early afternoon.\"\n34259,2020/02/19,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n34260,2020/02/19,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n34261,2020/02/20,I ate cereals for breakfast.,I ate cereals for breakfast.\n34262,2020/02/20,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n34263,2020/02/20,\"I had fish and chips for dinner with Olivia, Piper, Layla, Claire\",\"I had fish and chips for dinner with Olivia, Piper, Layla, Claire\"\n34264,2020/02/20,\"I talked to Nevaeh, Nora for 14 minutes in the early afternoon.\",\"I talked to Nevaeh, Nora for 14 minutes in the early afternoon.\"\n34265,2020/02/20,\"I spent 51 talking to Claire, Avery, Rylee on various topics in the late afternoon.\",\"I spent 51 talking to Claire, Avery, Rylee on various topics in the late afternoon.\"\n34266,2020/02/20,\"I spent 54 talking to Eva, Avery, Kinsley on various topics during lunch hours.\",\"I spent 54 talking to Eva, Avery, Kinsley on various topics during lunch hours.\"\n34267,2020/02/20,I spent 12 talking to Piper on various topics during lunch hours.,I spent 12 talking to Piper on various topics during lunch hours.\n34268,2020/02/20,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n34269,2020/02/20,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n34270,2020/02/21,\"I bought some peaches, coffee, body lotion, toothbrush, conditioner, shampoo online.\",\"I bought some peaches, coffee, body lotion, toothbrush, conditioner, shampoo online.\"\n34271,2020/02/21,I did HIIT on 2020/02/21.,I did HIIT on 2020/02/21.\n34272,2020/02/21,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n34273,2020/02/21,I ate steak for lunch.,I ate steak for lunch.\n34274,2020/02/21,\"I had dinner with Kayden, Emily, Andrew. I ate chinese food.\",\"I had dinner with Kayden, Emily, Andrew. I ate chinese food.\"\n34275,2020/02/21,\"I talked to Nevaeh, Nora, Avery for 23 minutes in the late afternoon.\",\"I talked to Nevaeh, Nora, Avery for 23 minutes in the late afternoon.\"\n34276,2020/02/21,I spent 32 talking to Lydia on various topics in the early afternoon.,I spent 32 talking to Lydia on various topics in the early afternoon.\n34277,2020/02/21,I spent 52 talking to Nevaeh on various topics in the late afternoon.,I spent 52 talking to Nevaeh on various topics in the late afternoon.\n34278,2020/02/21,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n34279,2020/02/21,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n34280,2020/02/22,\"I really enjoyed baking gluten-free apple rose tart, blackberry jam pie-crust straws, easy chocolate marshmallow cups on 2020/02/22 with Andrew, Kayden at my place\",\"I really enjoyed baking gluten-free apple rose tart, blackberry jam pie-crust straws, easy chocolate marshmallow cups on 2020/02/22 with Andrew, Kayden at my place\"\n34281,2020/02/22,\"I bought some raspberries, clementines, chocolate milk, mineral water, body lotion, facial wash, mouth wash from the grocery store. I saw Nevaeh, Avery, Claire, Nora, Layla, Eva, Lydia, Hazel, Piper, Olivia, Piper, Rylee at the grocery store.\",\"I bought some raspberries, clementines, chocolate milk, mineral water, body lotion, facial wash, mouth wash from the grocery store. I saw Nevaeh, Avery, Claire, Nora, Layla, Eva, Lydia, Hazel, Piper, Olivia, Piper, Rylee at the grocery store.\"\n34282,2020/02/22,I did swimming on 2020/02/22.,I did swimming on 2020/02/22.\n34283,2020/02/22,I had pancakes for breakfast with Avery,I had pancakes for breakfast with Avery\n34284,2020/02/22,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n34285,2020/02/22,I prepare pasta for dinner.,I prepare pasta for dinner.\n34286,2020/02/22,I spent 38 talking to Nevaeh on various topics late in the evening.,I spent 38 talking to Nevaeh on various topics late in the evening.\n34287,2020/02/22,I spent 55 talking to Lydia on various topics late in the evening.,I spent 55 talking to Lydia on various topics late in the evening.\n34288,2020/02/22,\"I talked to Kinsley, Olivia for 50 minutes in the late afternoon.\",\"I talked to Kinsley, Olivia for 50 minutes in the late afternoon.\"\n34289,2020/02/22,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n34290,2020/02/22,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n34291,2020/02/23,\"I had peanut-butter-jam for breakfast with Willow, Jackson, Avery\",\"I had peanut-butter-jam for breakfast with Willow, Jackson, Avery\"\n34292,2020/02/23,I ate sushi for lunch.,I ate sushi for lunch.\n34293,2020/02/23,\"I had dinner with Lydia, Piper, Claire, Eva, Layla, Piper, Nevaeh, Hazel, Kinsley, Avery, Olivia, Nora. I ate steak.\",\"I had dinner with Lydia, Piper, Claire, Eva, Layla, Piper, Nevaeh, Hazel, Kinsley, Avery, Olivia, Nora. I ate steak.\"\n34294,2020/02/23,I talked to Olivia for 6 minutes in the early afternoon.,I talked to Olivia for 6 minutes in the early afternoon.\n34295,2020/02/23,\"I talked to Kinsley, Eva, Claire, Rylee for 25 minutes late in the evening.\",\"I talked to Kinsley, Eva, Claire, Rylee for 25 minutes late in the evening.\"\n34296,2020/02/23,I spent 28 talking to Piper on various topics in the late afternoon.,I spent 28 talking to Piper on various topics in the late afternoon.\n34297,2020/02/23,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n34298,2020/02/23,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n34299,2020/02/24,I did weight lifting on 2020/02/24.,I did weight lifting on 2020/02/24.\n34300,2020/02/24,\"I had cereals for breakfast with Carter, Andrew, Kayden\",\"I had cereals for breakfast with Carter, Andrew, Kayden\"\n34301,2020/02/24,\"I had sandwich for lunch with Rylee, Avery\",\"I had sandwich for lunch with Rylee, Avery\"\n34302,2020/02/24,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n34303,2020/02/24,\"I talked to Claire, Avery, Nevaeh for 43 minutes in the early afternoon.\",\"I talked to Claire, Avery, Nevaeh for 43 minutes in the early afternoon.\"\n34304,2020/02/24,I talked to Lydia for 41 minutes in the morning.,I talked to Lydia for 41 minutes in the morning.\n34305,2020/02/24,\"I spent 34 talking to Nevaeh, Olivia on various topics in the morning.\",\"I spent 34 talking to Nevaeh, Olivia on various topics in the morning.\"\n34306,2020/02/24,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n34307,2020/02/24,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n34308,2020/02/25,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n34309,2020/02/25,I prepare sushi for lunch.,I prepare sushi for lunch.\n34310,2020/02/25,\"I had dinner with Willow, Jackson. I ate indian food.\",\"I had dinner with Willow, Jackson. I ate indian food.\"\n34311,2020/02/25,I talked to Nevaeh for 46 minutes in the late afternoon.,I talked to Nevaeh for 46 minutes in the late afternoon.\n34312,2020/02/25,\"I talked to Kinsley, Eva, Olivia, Rylee for 26 minutes in the early evening.\",\"I talked to Kinsley, Eva, Olivia, Rylee for 26 minutes in the early evening.\"\n34313,2020/02/25,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n34314,2020/02/25,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n34315,2020/02/26,I really enjoyed yoga on 2020/02/26,I really enjoyed yoga on 2020/02/26\n34316,2020/02/26,I did hiking on 2020/02/26.,I did hiking on 2020/02/26.\n34317,2020/02/26,\"I had breakfast with Carter, Emily. I ate cereals.\",\"I had breakfast with Carter, Emily. I ate cereals.\"\n34318,2020/02/26,\"I had lunch with Claire, Rylee, Eva, Nevaeh, Lydia, Avery, Piper. I ate tacos.\",\"I had lunch with Claire, Rylee, Eva, Nevaeh, Lydia, Avery, Piper. I ate tacos.\"\n34319,2020/02/26,\"I had dinner with Avery, Lydia, Rylee, Piper, Piper, Nevaeh, Olivia, Layla, Hazel. I ate tacos.\",\"I had dinner with Avery, Lydia, Rylee, Piper, Piper, Nevaeh, Olivia, Layla, Hazel. I ate tacos.\"\n34320,2020/02/26,\"I spent 34 talking to Nora, Eva, Lydia on various topics in the late afternoon.\",\"I spent 34 talking to Nora, Eva, Lydia on various topics in the late afternoon.\"\n34321,2020/02/26,\"I spent 30 talking to Avery, Piper on various topics in the early afternoon.\",\"I spent 30 talking to Avery, Piper on various topics in the early afternoon.\"\n34322,2020/02/26,I spent 27 talking to Hazel on various topics in the morning.,I spent 27 talking to Hazel on various topics in the morning.\n34323,2020/02/26,\"I talked to Nevaeh, Nora, Piper for 19 minutes in the morning.\",\"I talked to Nevaeh, Nora, Piper for 19 minutes in the morning.\"\n34324,2020/02/26,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n34325,2020/02/26,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n34326,2020/02/27,I went on a date with Madison on 2020/02/27 at a restaurant,I went on a date with Madison on 2020/02/27 at a restaurant\n34327,2020/02/27,I did weight lifting on 2020/02/27.,I did weight lifting on 2020/02/27.\n34328,2020/02/27,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n34329,2020/02/27,I had lunch with Emily. I ate indian food.,I had lunch with Emily. I ate indian food.\n34330,2020/02/27,\"I had tacos for dinner with Carter, Emily, Kayden, Andrew\",\"I had tacos for dinner with Carter, Emily, Kayden, Andrew\"\n34331,2020/02/27,I spent 24 talking to Claire on various topics in the late afternoon.,I spent 24 talking to Claire on various topics in the late afternoon.\n34332,2020/02/27,\"I talked to Layla, Nora, Piper, Hazel for 18 minutes in the morning.\",\"I talked to Layla, Nora, Piper, Hazel for 18 minutes in the morning.\"\n34333,2020/02/27,\"I spent 12 talking to Layla, Eva, Nevaeh on various topics in the morning.\",\"I spent 12 talking to Layla, Eva, Nevaeh on various topics in the morning.\"\n34334,2020/02/27,\"I talked to Nora, Kinsley, Claire, Rylee for 31 minutes in the early evening.\",\"I talked to Nora, Kinsley, Claire, Rylee for 31 minutes in the early evening.\"\n34335,2020/02/27,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n34336,2020/02/27,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n34337,2020/02/28,\"I went grocery shopping with Avery, Benjamin. I bought some mandarins, orange juice, tea, pineapple juice, and mouth wash\",\"I went grocery shopping with Avery, Benjamin. I bought some mandarins, orange juice, tea, pineapple juice, and mouth wash\"\n34338,2020/02/28,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n34339,2020/02/28,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n34340,2020/02/28,I had a burger for dinner with Lydia,I had a burger for dinner with Lydia\n34341,2020/02/28,\"I spent 31 talking to Avery, Piper, Nevaeh on various topics in the morning.\",\"I spent 31 talking to Avery, Piper, Nevaeh on various topics in the morning.\"\n34342,2020/02/28,\"I talked to Nora, Piper, Kinsley, Layla for 31 minutes in the early afternoon.\",\"I talked to Nora, Piper, Kinsley, Layla for 31 minutes in the early afternoon.\"\n34343,2020/02/28,\"I spent 34 talking to Avery, Hazel, Kinsley on various topics late in the evening.\",\"I spent 34 talking to Avery, Hazel, Kinsley on various topics late in the evening.\"\n34344,2020/02/28,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n34345,2020/02/28,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n34346,2020/02/29,\"I went grocery shopping with Kayden, Emily. I bought some blackberries, cherres, pineapple juice, coffee, orange juice, tea, and body lotion, shampoo, toilet paper\",\"I went grocery shopping with Kayden, Emily. I bought some blackberries, cherres, pineapple juice, coffee, orange juice, tea, and body lotion, shampoo, toilet paper\"\n34347,2020/02/29,I did hiking on 2020/02/29.,I did hiking on 2020/02/29.\n34348,2020/02/29,I had pancakes for breakfast with Andrew,I had pancakes for breakfast with Andrew\n34349,2020/02/29,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n34350,2020/02/29,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n34351,2020/02/29,I spent 15 talking to Claire on various topics in the early afternoon.,I spent 15 talking to Claire on various topics in the early afternoon.\n34352,2020/02/29,\"I spent 17 talking to Hazel, Lydia on various topics in the early evening.\",\"I spent 17 talking to Hazel, Lydia on various topics in the early evening.\"\n34353,2020/02/29,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n34354,2020/02/29,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n34355,2020/03/01,I did HIIT on 2020/03/01.,I did HIIT on 2020/03/01.\n34356,2020/03/01,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n34357,2020/03/01,I had lunch with Kayden. I ate sushi.,I had lunch with Kayden. I ate sushi.\n34358,2020/03/01,I ate a burger for dinner.,I ate a burger for dinner.\n34359,2020/03/01,\"I talked to Layla, Nevaeh for 48 minutes in the late afternoon.\",\"I talked to Layla, Nevaeh for 48 minutes in the late afternoon.\"\n34360,2020/03/01,I spent 47 talking to Kinsley on various topics during lunch hours.,I spent 47 talking to Kinsley on various topics during lunch hours.\n34361,2020/03/01,\"I talked to Nevaeh, Piper, Kinsley, Avery for 5 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Kinsley, Avery for 5 minutes in the late afternoon.\"\n34362,2020/03/01,I talked to Nora for 44 minutes late in the evening.,I talked to Nora for 44 minutes late in the evening.\n34363,2020/03/01,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n34364,2020/03/01,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n34365,2020/03/02,I went on a date with Madeline on 2020/03/02 at a restaurant,I went on a date with Madeline on 2020/03/02 at a restaurant\n34366,2020/03/02,I did swimming on 2020/03/02.,I did swimming on 2020/03/02.\n34367,2020/03/02,\"I had eggs, sausages, and bread for breakfast with Kayden\",\"I had eggs, sausages, and bread for breakfast with Kayden\"\n34368,2020/03/02,\"I had lunch with Avery, Benjamin, Jackson, Willow. I ate fish and chips.\",\"I had lunch with Avery, Benjamin, Jackson, Willow. I ate fish and chips.\"\n34369,2020/03/02,\"I had dinner with Avery, Willow, Benjamin. I ate fish and chips.\",\"I had dinner with Avery, Willow, Benjamin. I ate fish and chips.\"\n34370,2020/03/02,I spent 39 talking to Nora on various topics in the early afternoon.,I spent 39 talking to Nora on various topics in the early afternoon.\n34371,2020/03/02,I spent 47 talking to Nevaeh on various topics in the early evening.,I spent 47 talking to Nevaeh on various topics in the early evening.\n34372,2020/03/02,\"I spent 22 talking to Piper, Piper, Eva on various topics in the late afternoon.\",\"I spent 22 talking to Piper, Piper, Eva on various topics in the late afternoon.\"\n34373,2020/03/02,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n34374,2020/03/02,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n34375,2020/03/03,I did weight lifting on 2020/03/03.,I did weight lifting on 2020/03/03.\n34376,2020/03/03,\"I had breakfast with Carter, Andrew. I ate cereals.\",\"I had breakfast with Carter, Andrew. I ate cereals.\"\n34377,2020/03/03,I ate steak for lunch.,I ate steak for lunch.\n34378,2020/03/03,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n34379,2020/03/03,\"I talked to Claire, Piper, Hazel for 6 minutes late in the evening.\",\"I talked to Claire, Piper, Hazel for 6 minutes late in the evening.\"\n34380,2020/03/03,I spent 46 talking to Hazel on various topics late in the evening.,I spent 46 talking to Hazel on various topics late in the evening.\n34381,2020/03/03,\"I talked to Lydia, Piper, Kinsley, Claire for 29 minutes in the morning.\",\"I talked to Lydia, Piper, Kinsley, Claire for 29 minutes in the morning.\"\n34382,2020/03/03,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n34383,2020/03/03,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n34384,2020/03/04,\"I bought some apricots, mangos, mineral water, apple juice, mango juice, shampoo, toilet paper online.\",\"I bought some apricots, mangos, mineral water, apple juice, mango juice, shampoo, toilet paper online.\"\n34385,2020/03/04,I did swimming on 2020/03/04.,I did swimming on 2020/03/04.\n34386,2020/03/04,\"I had pancakes for breakfast with Carter, Emily\",\"I had pancakes for breakfast with Carter, Emily\"\n34387,2020/03/04,I had lunch. I ate steak.,I had lunch. I ate steak.\n34388,2020/03/04,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n34389,2020/03/04,\"I talked to Rylee, Piper, Lydia for 18 minutes in the morning.\",\"I talked to Rylee, Piper, Lydia for 18 minutes in the morning.\"\n34390,2020/03/04,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n34391,2020/03/04,I watched a documentary for 35 minutes on TV today.,I watched a documentary for 35 minutes on TV today.\n34392,2020/03/05,I did HIIT on 2020/03/05.,I did HIIT on 2020/03/05.\n34393,2020/03/05,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n34394,2020/03/05,I prepare sushi for lunch.,I prepare sushi for lunch.\n34395,2020/03/05,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n34396,2020/03/05,I spent 23 talking to Nevaeh on various topics late in the evening.,I spent 23 talking to Nevaeh on various topics late in the evening.\n34397,2020/03/05,\"I spent 10 talking to Piper, Nevaeh on various topics in the morning.\",\"I spent 10 talking to Piper, Nevaeh on various topics in the morning.\"\n34398,2020/03/05,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n34399,2020/03/05,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n34400,2020/03/06,\"On 2020/03/06, I took Zoey on a date to a park\",\"On 2020/03/06, I took Zoey on a date to a park\"\n34401,2020/03/06,I did swimming on 2020/03/06.,I did swimming on 2020/03/06.\n34402,2020/03/06,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n34403,2020/03/06,I ate sandwich for lunch.,I ate sandwich for lunch.\n34404,2020/03/06,I ate tacos for dinner.,I ate tacos for dinner.\n34405,2020/03/06,\"I talked to Piper, Rylee for 41 minutes in the late afternoon.\",\"I talked to Piper, Rylee for 41 minutes in the late afternoon.\"\n34406,2020/03/06,\"I talked to Piper, Olivia for 38 minutes in the early evening.\",\"I talked to Piper, Olivia for 38 minutes in the early evening.\"\n34407,2020/03/06,I talked to Piper for 17 minutes late in the evening.,I talked to Piper for 17 minutes late in the evening.\n34408,2020/03/06,\"I spent 48 talking to Layla, Nevaeh, Avery, Olivia on various topics during lunch hours.\",\"I spent 48 talking to Layla, Nevaeh, Avery, Olivia on various topics during lunch hours.\"\n34409,2020/03/06,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n34410,2020/03/06,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n34411,2020/03/07,I did biking on 2020/03/07.,I did biking on 2020/03/07.\n34412,2020/03/07,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n34413,2020/03/07,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n34414,2020/03/07,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n34415,2020/03/07,\"I spent 45 talking to Lydia, Avery, Olivia on various topics in the morning.\",\"I spent 45 talking to Lydia, Avery, Olivia on various topics in the morning.\"\n34416,2020/03/07,\"I spent 53 talking to Piper, Piper on various topics in the late afternoon.\",\"I spent 53 talking to Piper, Piper on various topics in the late afternoon.\"\n34417,2020/03/07,\"I spent 49 talking to Nora, Piper on various topics during lunch hours.\",\"I spent 49 talking to Nora, Piper on various topics during lunch hours.\"\n34418,2020/03/07,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n34419,2020/03/07,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n34420,2020/03/08,I did running on 2020/03/08.,I did running on 2020/03/08.\n34421,2020/03/08,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n34422,2020/03/08,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n34423,2020/03/08,\"I had steak for dinner with Olivia, Piper, Layla, Claire, Nora\",\"I had steak for dinner with Olivia, Piper, Layla, Claire, Nora\"\n34424,2020/03/08,\"I talked to Layla, Avery, Rylee, Piper for 11 minutes during lunch hours.\",\"I talked to Layla, Avery, Rylee, Piper for 11 minutes during lunch hours.\"\n34425,2020/03/08,\"I spent 28 talking to Piper, Nora, Lydia on various topics in the early afternoon.\",\"I spent 28 talking to Piper, Nora, Lydia on various topics in the early afternoon.\"\n34426,2020/03/08,\"I talked to Piper, Rylee for 30 minutes in the morning.\",\"I talked to Piper, Rylee for 30 minutes in the morning.\"\n34427,2020/03/08,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n34428,2020/03/08,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n34429,2020/03/09,I did biking on 2020/03/09.,I did biking on 2020/03/09.\n34430,2020/03/09,\"I had oatmeal for breakfast with Benjamin, Avery, Jackson, Willow\",\"I had oatmeal for breakfast with Benjamin, Avery, Jackson, Willow\"\n34431,2020/03/09,\"I had a burger for lunch with Layla, Rylee, Lydia, Avery, Olivia, Nora, Hazel\",\"I had a burger for lunch with Layla, Rylee, Lydia, Avery, Olivia, Nora, Hazel\"\n34432,2020/03/09,I had dinner with Carter. I ate a burger.,I had dinner with Carter. I ate a burger.\n34433,2020/03/09,\"I spent 35 talking to Rylee, Piper, Hazel, Olivia on various topics in the early evening.\",\"I spent 35 talking to Rylee, Piper, Hazel, Olivia on various topics in the early evening.\"\n34434,2020/03/09,I spent 24 talking to Nora on various topics during lunch hours.,I spent 24 talking to Nora on various topics during lunch hours.\n34435,2020/03/09,\"I talked to Nevaeh, Piper for 40 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper for 40 minutes in the late afternoon.\"\n34436,2020/03/09,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n34437,2020/03/09,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n34438,2020/03/10,I went on a date with Ella on 2020/03/10 at a restaurant,I went on a date with Ella on 2020/03/10 at a restaurant\n34439,2020/03/10,\"I bought some blueberries, pineapple juice, chocolate milk, facial wash, toilet paper, mouthwash, mouth wash online.\",\"I bought some blueberries, pineapple juice, chocolate milk, facial wash, toilet paper, mouthwash, mouth wash online.\"\n34440,2020/03/10,I did HIIT on 2020/03/10.,I did HIIT on 2020/03/10.\n34441,2020/03/10,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n34442,2020/03/10,I prepare steak for lunch.,I prepare steak for lunch.\n34443,2020/03/10,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n34444,2020/03/10,\"I spent 55 talking to Claire, Piper, Avery, Rylee on various topics during lunch hours.\",\"I spent 55 talking to Claire, Piper, Avery, Rylee on various topics during lunch hours.\"\n34445,2020/03/10,\"I spent 49 talking to Hazel, Avery, Layla on various topics in the early afternoon.\",\"I spent 49 talking to Hazel, Avery, Layla on various topics in the early afternoon.\"\n34446,2020/03/10,I talked to Hazel for 38 minutes in the early evening.,I talked to Hazel for 38 minutes in the early evening.\n34447,2020/03/10,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n34448,2020/03/10,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n34449,2020/03/11,I did biking on 2020/03/11.,I did biking on 2020/03/11.\n34450,2020/03/11,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n34451,2020/03/11,I ate pasta for lunch.,I ate pasta for lunch.\n34452,2020/03/11,\"I had dinner with Carter, Andrew, Emily, Kayden. I ate a burger.\",\"I had dinner with Carter, Andrew, Emily, Kayden. I ate a burger.\"\n34453,2020/03/11,\"I spent 18 talking to Lydia, Nevaeh, Claire, Piper on various topics during lunch hours.\",\"I spent 18 talking to Lydia, Nevaeh, Claire, Piper on various topics during lunch hours.\"\n34454,2020/03/11,\"I talked to Rylee, Layla for 28 minutes in the early afternoon.\",\"I talked to Rylee, Layla for 28 minutes in the early afternoon.\"\n34455,2020/03/11,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n34456,2020/03/11,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n34457,2020/03/12,\"On 2020/03/12, I took Santiago  on a date to a boba shop\",\"On 2020/03/12, I took Santiago  on a date to a boba shop\"\n34458,2020/03/12,I did weight lifting on 2020/03/12.,I did weight lifting on 2020/03/12.\n34459,2020/03/12,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n34460,2020/03/12,\"I had lunch with Rylee, Layla, Kinsley, Lydia, Nora, Piper, Claire, Nevaeh, Eva, Avery, Piper, Hazel. I ate pasta.\",\"I had lunch with Rylee, Layla, Kinsley, Lydia, Nora, Piper, Claire, Nevaeh, Eva, Avery, Piper, Hazel. I ate pasta.\"\n34461,2020/03/12,\"I had dinner with Andrew, Carter, Emily. I ate sandwich.\",\"I had dinner with Andrew, Carter, Emily. I ate sandwich.\"\n34462,2020/03/12,\"I spent 42 talking to Lydia, Avery, Claire on various topics during lunch hours.\",\"I spent 42 talking to Lydia, Avery, Claire on various topics during lunch hours.\"\n34463,2020/03/12,\"I talked to Kinsley, Avery for 27 minutes in the late afternoon.\",\"I talked to Kinsley, Avery for 27 minutes in the late afternoon.\"\n34464,2020/03/12,I talked to Avery for 5 minutes late in the evening.,I talked to Avery for 5 minutes late in the evening.\n34465,2020/03/12,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n34466,2020/03/12,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n34467,2020/03/13,I did running on 2020/03/13.,I did running on 2020/03/13.\n34468,2020/03/13,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n34469,2020/03/13,\"I had chinese food for lunch with Andrew, Kayden\",\"I had chinese food for lunch with Andrew, Kayden\"\n34470,2020/03/13,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n34471,2020/03/13,\"I talked to Layla, Olivia, Kinsley for 18 minutes in the early evening.\",\"I talked to Layla, Olivia, Kinsley for 18 minutes in the early evening.\"\n34472,2020/03/13,\"I spent 26 talking to Nora, Layla, Lydia, Piper on various topics in the early afternoon.\",\"I spent 26 talking to Nora, Layla, Lydia, Piper on various topics in the early afternoon.\"\n34473,2020/03/13,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n34474,2020/03/13,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n34475,2020/03/14,I did HIIT on 2020/03/14.,I did HIIT on 2020/03/14.\n34476,2020/03/14,I had breakfast with Piper. I ate peanut-butter-jam.,I had breakfast with Piper. I ate peanut-butter-jam.\n34477,2020/03/14,\"I had lunch with Piper, Eva, Nevaeh, Avery, Layla, Rylee, Hazel, Claire. I ate sandwich.\",\"I had lunch with Piper, Eva, Nevaeh, Avery, Layla, Rylee, Hazel, Claire. I ate sandwich.\"\n34478,2020/03/14,\"I had dinner with Willow, Avery, Benjamin, Jackson. I ate chinese food.\",\"I had dinner with Willow, Avery, Benjamin, Jackson. I ate chinese food.\"\n34479,2020/03/14,\"I talked to Kinsley, Rylee for 53 minutes in the morning.\",\"I talked to Kinsley, Rylee for 53 minutes in the morning.\"\n34480,2020/03/14,\"I spent 43 talking to Kinsley, Eva, Layla on various topics in the early afternoon.\",\"I spent 43 talking to Kinsley, Eva, Layla on various topics in the early afternoon.\"\n34481,2020/03/14,\"I spent 47 talking to Claire, Olivia, Avery on various topics during lunch hours.\",\"I spent 47 talking to Claire, Olivia, Avery on various topics during lunch hours.\"\n34482,2020/03/14,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n34483,2020/03/14,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n34484,2020/03/15,\"On 2020/03/15, I took Lillian on a date to a boba shop\",\"On 2020/03/15, I took Lillian on a date to a boba shop\"\n34485,2020/03/15,I did running on 2020/03/15.,I did running on 2020/03/15.\n34486,2020/03/15,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n34487,2020/03/15,I ate chinese food for lunch.,I ate chinese food for lunch.\n34488,2020/03/15,I prepare pasta for dinner.,I prepare pasta for dinner.\n34489,2020/03/15,\"I spent 27 talking to Olivia, Hazel, Piper on various topics in the early evening.\",\"I spent 27 talking to Olivia, Hazel, Piper on various topics in the early evening.\"\n34490,2020/03/15,\"I spent 27 talking to Lydia, Nora, Claire, Kinsley on various topics during lunch hours.\",\"I spent 27 talking to Lydia, Nora, Claire, Kinsley on various topics during lunch hours.\"\n34491,2020/03/15,\"I talked to Nora, Kinsley for 42 minutes in the late afternoon.\",\"I talked to Nora, Kinsley for 42 minutes in the late afternoon.\"\n34492,2020/03/15,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n34493,2020/03/15,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n34494,2020/03/16,\"I went grocery shopping. I bought some nectarines, guava, blueberries, tea, milk, soda, and shampoo, shaving cream\",\"I went grocery shopping. I bought some nectarines, guava, blueberries, tea, milk, soda, and shampoo, shaving cream\"\n34495,2020/03/16,I did HIIT on 2020/03/16.,I did HIIT on 2020/03/16.\n34496,2020/03/16,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n34497,2020/03/16,I had lunch with Benjamin. I ate a burger.,I had lunch with Benjamin. I ate a burger.\n34498,2020/03/16,I had dinner with Emily. I ate sandwich.,I had dinner with Emily. I ate sandwich.\n34499,2020/03/16,\"I spent 35 talking to Rylee, Olivia, Lydia, Nevaeh on various topics late in the evening.\",\"I spent 35 talking to Rylee, Olivia, Lydia, Nevaeh on various topics late in the evening.\"\n34500,2020/03/16,I talked to Piper for 10 minutes in the early evening.,I talked to Piper for 10 minutes in the early evening.\n34501,2020/03/16,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n34502,2020/03/16,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n34503,2020/03/17,I spent some time learning a language on 2020/03/17.,I spent some time learning a language on 2020/03/17.\n34504,2020/03/17,I had breakfast with Emily. I ate oatmeal.,I had breakfast with Emily. I ate oatmeal.\n34505,2020/03/17,I had lunch with Benjamin. I ate pasta.,I had lunch with Benjamin. I ate pasta.\n34506,2020/03/17,\"I had pasta for dinner with Rylee, Layla, Hazel, Olivia, Claire, Lydia, Nora, Piper, Piper, Nevaeh, Avery, Kinsley, Eva\",\"I had pasta for dinner with Rylee, Layla, Hazel, Olivia, Claire, Lydia, Nora, Piper, Piper, Nevaeh, Avery, Kinsley, Eva\"\n34507,2020/03/17,\"I talked to Piper, Eva for 13 minutes in the late afternoon.\",\"I talked to Piper, Eva for 13 minutes in the late afternoon.\"\n34508,2020/03/17,\"I spent 34 talking to Olivia, Nora, Piper on various topics in the early afternoon.\",\"I spent 34 talking to Olivia, Nora, Piper on various topics in the early afternoon.\"\n34509,2020/03/17,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n34510,2020/03/17,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n34511,2020/03/18,\"I bought some apricots, mangos, blackberries, pears, coffee, sports drinks, facial wash from the grocery store. I saw Kayden, Andrew, Emily, Carter at the grocery store.\",\"I bought some apricots, mangos, blackberries, pears, coffee, sports drinks, facial wash from the grocery store. I saw Kayden, Andrew, Emily, Carter at the grocery store.\"\n34512,2020/03/18,I did swimming on 2020/03/18.,I did swimming on 2020/03/18.\n34513,2020/03/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n34514,2020/03/18,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n34515,2020/03/18,\"I had sandwich for dinner with Carter, Kayden, Emily, Andrew\",\"I had sandwich for dinner with Carter, Kayden, Emily, Andrew\"\n34516,2020/03/18,I spent 41 talking to Lydia on various topics in the morning.,I spent 41 talking to Lydia on various topics in the morning.\n34517,2020/03/18,\"I spent 8 talking to Claire, Layla, Nora, Hazel on various topics in the late afternoon.\",\"I spent 8 talking to Claire, Layla, Nora, Hazel on various topics in the late afternoon.\"\n34518,2020/03/18,\"I talked to Claire, Hazel for 18 minutes in the late afternoon.\",\"I talked to Claire, Hazel for 18 minutes in the late afternoon.\"\n34519,2020/03/18,\"I spent 7 talking to Nora, Kinsley, Layla on various topics during lunch hours.\",\"I spent 7 talking to Nora, Kinsley, Layla on various topics during lunch hours.\"\n34520,2020/03/18,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n34521,2020/03/18,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n34522,2020/03/19,\"I had breakfast with Eva, Hazel, Claire, Nora, Avery, Piper, Piper. I ate peanut-butter-jam.\",\"I had breakfast with Eva, Hazel, Claire, Nora, Avery, Piper, Piper. I ate peanut-butter-jam.\"\n34523,2020/03/19,I had indian food for lunch with Kayden,I had indian food for lunch with Kayden\n34524,2020/03/19,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n34525,2020/03/19,I spent 40 talking to Nora on various topics late in the evening.,I spent 40 talking to Nora on various topics late in the evening.\n34526,2020/03/19,\"I talked to Piper, Claire, Avery, Eva for 17 minutes late in the evening.\",\"I talked to Piper, Claire, Avery, Eva for 17 minutes late in the evening.\"\n34527,2020/03/19,I talked to Avery for 22 minutes in the late afternoon.,I talked to Avery for 22 minutes in the late afternoon.\n34528,2020/03/19,\"I talked to Nora, Layla, Kinsley, Piper for 13 minutes in the morning.\",\"I talked to Nora, Layla, Kinsley, Piper for 13 minutes in the morning.\"\n34529,2020/03/19,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n34530,2020/03/19,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n34531,2020/03/20,I did HIIT on 2020/03/20.,I did HIIT on 2020/03/20.\n34532,2020/03/20,\"I had pancakes for breakfast with Layla, Nevaeh, Claire, Olivia, Piper, Kinsley, Rylee\",\"I had pancakes for breakfast with Layla, Nevaeh, Claire, Olivia, Piper, Kinsley, Rylee\"\n34533,2020/03/20,\"I had lunch with Avery, Willow. I ate steak.\",\"I had lunch with Avery, Willow. I ate steak.\"\n34534,2020/03/20,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n34535,2020/03/20,\"I talked to Eva, Nevaeh, Hazel for 9 minutes in the early afternoon.\",\"I talked to Eva, Nevaeh, Hazel for 9 minutes in the early afternoon.\"\n34536,2020/03/20,I spent 11 talking to Piper on various topics late in the evening.,I spent 11 talking to Piper on various topics late in the evening.\n34537,2020/03/20,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n34538,2020/03/20,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n34539,2020/03/21,I did biking on 2020/03/21.,I did biking on 2020/03/21.\n34540,2020/03/21,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n34541,2020/03/21,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n34542,2020/03/21,\"I had pasta for dinner with Carter, Andrew\",\"I had pasta for dinner with Carter, Andrew\"\n34543,2020/03/21,\"I spent 55 talking to Claire, Olivia on various topics in the late afternoon.\",\"I spent 55 talking to Claire, Olivia on various topics in the late afternoon.\"\n34544,2020/03/21,\"I talked to Layla, Nora, Eva, Kinsley for 10 minutes in the early evening.\",\"I talked to Layla, Nora, Eva, Kinsley for 10 minutes in the early evening.\"\n34545,2020/03/21,I spent 31 talking to Nevaeh on various topics in the early afternoon.,I spent 31 talking to Nevaeh on various topics in the early afternoon.\n34546,2020/03/21,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n34547,2020/03/21,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n34548,2020/03/22,I went on a date with Genesis on 2020/03/22 at a restaurant,I went on a date with Genesis on 2020/03/22 at a restaurant\n34549,2020/03/22,I did weight lifting on 2020/03/22.,I did weight lifting on 2020/03/22.\n34550,2020/03/22,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n34551,2020/03/22,\"I had chinese food for lunch with Rylee, Nevaeh, Piper, Layla, Lydia, Hazel, Claire, Olivia, Nora, Kinsley, Piper, Eva, Avery\",\"I had chinese food for lunch with Rylee, Nevaeh, Piper, Layla, Lydia, Hazel, Claire, Olivia, Nora, Kinsley, Piper, Eva, Avery\"\n34552,2020/03/22,I ate chinese food for dinner.,I ate chinese food for dinner.\n34553,2020/03/22,I talked to Nevaeh for 23 minutes in the early afternoon.,I talked to Nevaeh for 23 minutes in the early afternoon.\n34554,2020/03/22,\"I spent 13 talking to Claire, Nevaeh, Rylee on various topics during lunch hours.\",\"I spent 13 talking to Claire, Nevaeh, Rylee on various topics during lunch hours.\"\n34555,2020/03/22,I talked to Piper for 9 minutes during lunch hours.,I talked to Piper for 9 minutes during lunch hours.\n34556,2020/03/22,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n34557,2020/03/22,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n34558,2020/03/23,\"I bought some pineapples, mangos, mandarins, nectarines, orange juice, apple juice, toothpaste, facial wash from the grocery store. I saw Carter at the grocery store.\",\"I bought some pineapples, mangos, mandarins, nectarines, orange juice, apple juice, toothpaste, facial wash from the grocery store. I saw Carter at the grocery store.\"\n34559,2020/03/23,I did HIIT on 2020/03/23.,I did HIIT on 2020/03/23.\n34560,2020/03/23,\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\"\n34561,2020/03/23,I ate indian food for lunch.,I ate indian food for lunch.\n34562,2020/03/23,\"I had chinese food for dinner with Nevaeh, Rylee, Piper, Piper, Nora, Eva\",\"I had chinese food for dinner with Nevaeh, Rylee, Piper, Piper, Nora, Eva\"\n34563,2020/03/23,\"I talked to Olivia, Eva, Piper, Hazel for 21 minutes late in the evening.\",\"I talked to Olivia, Eva, Piper, Hazel for 21 minutes late in the evening.\"\n34564,2020/03/23,I talked to Rylee for 37 minutes in the early evening.,I talked to Rylee for 37 minutes in the early evening.\n34565,2020/03/23,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n34566,2020/03/23,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n34567,2020/03/24,I did HIIT on 2020/03/24.,I did HIIT on 2020/03/24.\n34568,2020/03/24,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n34569,2020/03/24,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n34570,2020/03/24,I ate tacos for dinner.,I ate tacos for dinner.\n34571,2020/03/24,\"I talked to Layla, Rylee, Piper, Hazel for 24 minutes in the morning.\",\"I talked to Layla, Rylee, Piper, Hazel for 24 minutes in the morning.\"\n34572,2020/03/24,I spent 5 talking to Kinsley on various topics late in the evening.,I spent 5 talking to Kinsley on various topics late in the evening.\n34573,2020/03/24,\"I spent 19 talking to Avery, Rylee on various topics in the early afternoon.\",\"I spent 19 talking to Avery, Rylee on various topics in the early afternoon.\"\n34574,2020/03/24,\"I talked to Kinsley, Olivia for 37 minutes late in the evening.\",\"I talked to Kinsley, Olivia for 37 minutes late in the evening.\"\n34575,2020/03/24,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n34576,2020/03/24,I watched a documentary for 41 minutes on TV today.,I watched a documentary for 41 minutes on TV today.\n34577,2020/03/25,I did swimming on 2020/03/25.,I did swimming on 2020/03/25.\n34578,2020/03/25,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n34579,2020/03/25,I prepare tacos for lunch.,I prepare tacos for lunch.\n34580,2020/03/25,I prepare a burger for dinner.,I prepare a burger for dinner.\n34581,2020/03/25,\"I talked to Kinsley, Piper, Layla for 7 minutes in the early afternoon.\",\"I talked to Kinsley, Piper, Layla for 7 minutes in the early afternoon.\"\n34582,2020/03/25,I talked to Kinsley for 48 minutes in the early afternoon.,I talked to Kinsley for 48 minutes in the early afternoon.\n34583,2020/03/25,I spent 26 talking to Piper on various topics late in the evening.,I spent 26 talking to Piper on various topics late in the evening.\n34584,2020/03/25,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n34585,2020/03/25,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n34586,2020/03/26,I spent some time gardening on 2020/03/26.,I spent some time gardening on 2020/03/26.\n34587,2020/03/26,I did HIIT on 2020/03/26.,I did HIIT on 2020/03/26.\n34588,2020/03/26,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n34589,2020/03/26,I prepare a burger for lunch.,I prepare a burger for lunch.\n34590,2020/03/26,I prepare sushi for dinner.,I prepare sushi for dinner.\n34591,2020/03/26,\"I talked to Piper, Hazel, Avery, Eva for 18 minutes late in the evening.\",\"I talked to Piper, Hazel, Avery, Eva for 18 minutes late in the evening.\"\n34592,2020/03/26,\"I talked to Eva, Kinsley for 16 minutes late in the evening.\",\"I talked to Eva, Kinsley for 16 minutes late in the evening.\"\n34593,2020/03/26,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n34594,2020/03/26,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n34595,2020/03/27,I went on a date with Claire on 2020/03/27 at a park,I went on a date with Claire on 2020/03/27 at a park\n34596,2020/03/27,I did HIIT on 2020/03/27.,I did HIIT on 2020/03/27.\n34597,2020/03/27,\"I had pancakes for breakfast with Nevaeh, Rylee, Olivia, Piper, Layla, Nora, Avery, Piper, Eva, Claire\",\"I had pancakes for breakfast with Nevaeh, Rylee, Olivia, Piper, Layla, Nora, Avery, Piper, Eva, Claire\"\n34598,2020/03/27,\"I had lunch with Jackson, Willow, Benjamin, Avery. I ate fish and chips.\",\"I had lunch with Jackson, Willow, Benjamin, Avery. I ate fish and chips.\"\n34599,2020/03/27,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n34600,2020/03/27,\"I spent 41 talking to Hazel, Piper, Lydia, Rylee on various topics in the early evening.\",\"I spent 41 talking to Hazel, Piper, Lydia, Rylee on various topics in the early evening.\"\n34601,2020/03/27,I talked to Olivia for 39 minutes in the late afternoon.,I talked to Olivia for 39 minutes in the late afternoon.\n34602,2020/03/27,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n34603,2020/03/27,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n34604,2020/03/28,\"On 2020/03/28, I took Carson on a date to a boba shop\",\"On 2020/03/28, I took Carson on a date to a boba shop\"\n34605,2020/03/28,I did biking on 2020/03/28.,I did biking on 2020/03/28.\n34606,2020/03/28,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n34607,2020/03/28,\"I had lunch with Jackson, Benjamin, Willow. I ate sandwich.\",\"I had lunch with Jackson, Benjamin, Willow. I ate sandwich.\"\n34608,2020/03/28,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n34609,2020/03/28,\"I talked to Rylee, Olivia, Eva, Piper for 41 minutes in the morning.\",\"I talked to Rylee, Olivia, Eva, Piper for 41 minutes in the morning.\"\n34610,2020/03/28,\"I spent 7 talking to Piper, Layla, Piper, Kinsley on various topics in the early afternoon.\",\"I spent 7 talking to Piper, Layla, Piper, Kinsley on various topics in the early afternoon.\"\n34611,2020/03/28,\"I talked to Hazel, Layla, Claire for 14 minutes in the early evening.\",\"I talked to Hazel, Layla, Claire for 14 minutes in the early evening.\"\n34612,2020/03/28,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n34613,2020/03/28,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n34614,2020/03/29,\"I had breakfast with Piper, Nora, Avery, Kinsley, Lydia, Claire, Layla, Nevaeh, Piper, Hazel, Rylee, Olivia, Eva. I ate toast and cheese.\",\"I had breakfast with Piper, Nora, Avery, Kinsley, Lydia, Claire, Layla, Nevaeh, Piper, Hazel, Rylee, Olivia, Eva. I ate toast and cheese.\"\n34615,2020/03/29,I prepare tacos for lunch.,I prepare tacos for lunch.\n34616,2020/03/29,I had chinese food for dinner with Andrew,I had chinese food for dinner with Andrew\n34617,2020/03/29,I spent 40 talking to Kinsley on various topics in the early afternoon.,I spent 40 talking to Kinsley on various topics in the early afternoon.\n34618,2020/03/29,\"I spent 6 talking to Piper, Piper, Avery on various topics in the early afternoon.\",\"I spent 6 talking to Piper, Piper, Avery on various topics in the early afternoon.\"\n34619,2020/03/29,\"I talked to Claire, Kinsley for 33 minutes in the early evening.\",\"I talked to Claire, Kinsley for 33 minutes in the early evening.\"\n34620,2020/03/29,\"I spent 51 talking to Olivia, Kinsley, Lydia on various topics late in the evening.\",\"I spent 51 talking to Olivia, Kinsley, Lydia on various topics late in the evening.\"\n34621,2020/03/29,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n34622,2020/03/29,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n34623,2020/03/30,I did swimming on 2020/03/30.,I did swimming on 2020/03/30.\n34624,2020/03/30,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n34625,2020/03/30,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n34626,2020/03/30,I ate tacos for dinner.,I ate tacos for dinner.\n34627,2020/03/30,\"I talked to Piper, Avery for 37 minutes in the morning.\",\"I talked to Piper, Avery for 37 minutes in the morning.\"\n34628,2020/03/30,\"I talked to Kinsley, Avery, Piper for 19 minutes during lunch hours.\",\"I talked to Kinsley, Avery, Piper for 19 minutes during lunch hours.\"\n34629,2020/03/30,\"I spent 5 talking to Piper, Piper, Kinsley, Nora on various topics during lunch hours.\",\"I spent 5 talking to Piper, Piper, Kinsley, Nora on various topics during lunch hours.\"\n34630,2020/03/30,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n34631,2020/03/30,I spent 29 minutes watching a documentary on TV today.,I spent 29 minutes watching a documentary on TV today.\n34632,2020/03/31,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n34633,2020/03/31,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n34634,2020/03/31,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n34635,2020/03/31,\"I talked to Nora, Kinsley, Avery, Piper for 25 minutes in the late afternoon.\",\"I talked to Nora, Kinsley, Avery, Piper for 25 minutes in the late afternoon.\"\n34636,2020/03/31,\"I spent 28 talking to Eva, Nevaeh on various topics in the early afternoon.\",\"I spent 28 talking to Eva, Nevaeh on various topics in the early afternoon.\"\n34637,2020/03/31,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n34638,2020/03/31,I spent 34 minutes watching a tv series on TV today.,I spent 34 minutes watching a tv series on TV today.\n34639,2020/04/01,\"On 2020/04/01, I took James on a date to a restaurant\",\"On 2020/04/01, I took James on a date to a restaurant\"\n34640,2020/04/01,I did swimming on 2020/04/01.,I did swimming on 2020/04/01.\n34641,2020/04/01,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n34642,2020/04/01,\"I had steak for lunch with Andrew, Carter, Kayden\",\"I had steak for lunch with Andrew, Carter, Kayden\"\n34643,2020/04/01,\"I had pasta for dinner with Avery, Eva, Olivia, Layla, Lydia, Nevaeh, Kinsley, Piper, Claire, Hazel, Nora, Rylee, Piper\",\"I had pasta for dinner with Avery, Eva, Olivia, Layla, Lydia, Nevaeh, Kinsley, Piper, Claire, Hazel, Nora, Rylee, Piper\"\n34644,2020/04/01,I talked to Kinsley for 5 minutes during lunch hours.,I talked to Kinsley for 5 minutes during lunch hours.\n34645,2020/04/01,\"I talked to Rylee, Layla, Avery, Piper for 18 minutes in the early evening.\",\"I talked to Rylee, Layla, Avery, Piper for 18 minutes in the early evening.\"\n34646,2020/04/01,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n34647,2020/04/01,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n34648,2020/04/02,I did hiking on 2020/04/02.,I did hiking on 2020/04/02.\n34649,2020/04/02,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n34650,2020/04/02,\"I had lunch with Claire, Lydia, Nevaeh, Kinsley, Olivia. I ate a burger.\",\"I had lunch with Claire, Lydia, Nevaeh, Kinsley, Olivia. I ate a burger.\"\n34651,2020/04/02,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n34652,2020/04/02,\"I talked to Lydia, Piper, Nora for 38 minutes in the late afternoon.\",\"I talked to Lydia, Piper, Nora for 38 minutes in the late afternoon.\"\n34653,2020/04/02,\"I talked to Eva, Avery for 24 minutes in the morning.\",\"I talked to Eva, Avery for 24 minutes in the morning.\"\n34654,2020/04/02,\"I spent 21 talking to Claire, Avery on various topics late in the evening.\",\"I spent 21 talking to Claire, Avery on various topics late in the evening.\"\n34655,2020/04/02,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n34656,2020/04/02,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n34657,2020/04/03,\"I went grocery shopping. I bought some cherres, pears, pineapple juice, apple juice, chocolate milk, and shaving cream, conditioner\",\"I went grocery shopping. I bought some cherres, pears, pineapple juice, apple juice, chocolate milk, and shaving cream, conditioner\"\n34658,2020/04/03,I did running on 2020/04/03.,I did running on 2020/04/03.\n34659,2020/04/03,\"I had pancakes for breakfast with Andrew, Emily, Kayden\",\"I had pancakes for breakfast with Andrew, Emily, Kayden\"\n34660,2020/04/03,I ate pasta for lunch.,I ate pasta for lunch.\n34661,2020/04/03,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n34662,2020/04/03,\"I talked to Hazel, Layla, Rylee for 52 minutes late in the evening.\",\"I talked to Hazel, Layla, Rylee for 52 minutes late in the evening.\"\n34663,2020/04/03,\"I talked to Lydia, Rylee, Avery for 22 minutes in the morning.\",\"I talked to Lydia, Rylee, Avery for 22 minutes in the morning.\"\n34664,2020/04/03,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n34665,2020/04/03,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n34666,2020/04/04,I went on a date with Lincoln on 2020/04/04 at a park,I went on a date with Lincoln on 2020/04/04 at a park\n34667,2020/04/04,I really enjoyed learning a language on 2020/04/04,I really enjoyed learning a language on 2020/04/04\n34668,2020/04/04,I did hiking on 2020/04/04.,I did hiking on 2020/04/04.\n34669,2020/04/04,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n34670,2020/04/04,I prepare indian food for lunch.,I prepare indian food for lunch.\n34671,2020/04/04,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n34672,2020/04/04,\"I talked to Nora, Hazel, Piper for 49 minutes during lunch hours.\",\"I talked to Nora, Hazel, Piper for 49 minutes during lunch hours.\"\n34673,2020/04/04,\"I talked to Nevaeh, Piper, Rylee, Avery for 32 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Rylee, Avery for 32 minutes in the late afternoon.\"\n34674,2020/04/04,\"I talked to Avery, Hazel for 34 minutes in the morning.\",\"I talked to Avery, Hazel for 34 minutes in the morning.\"\n34675,2020/04/04,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n34676,2020/04/04,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n34677,2020/04/05,I did running on 2020/04/05.,I did running on 2020/04/05.\n34678,2020/04/05,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n34679,2020/04/05,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n34680,2020/04/05,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n34681,2020/04/05,I talked to Olivia for 25 minutes in the late afternoon.,I talked to Olivia for 25 minutes in the late afternoon.\n34682,2020/04/05,\"I spent 28 talking to Rylee, Piper on various topics in the early evening.\",\"I spent 28 talking to Rylee, Piper on various topics in the early evening.\"\n34683,2020/04/05,\"I talked to Hazel, Claire, Nora for 13 minutes in the early evening.\",\"I talked to Hazel, Claire, Nora for 13 minutes in the early evening.\"\n34684,2020/04/05,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n34685,2020/04/05,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n34686,2020/04/06,I did swimming on 2020/04/06.,I did swimming on 2020/04/06.\n34687,2020/04/06,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n34688,2020/04/06,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n34689,2020/04/06,\"I had dinner with Carter, Kayden. I ate chinese food.\",\"I had dinner with Carter, Kayden. I ate chinese food.\"\n34690,2020/04/06,\"I talked to Layla, Piper for 5 minutes in the morning.\",\"I talked to Layla, Piper for 5 minutes in the morning.\"\n34691,2020/04/06,\"I spent 18 talking to Claire, Piper on various topics in the early afternoon.\",\"I spent 18 talking to Claire, Piper on various topics in the early afternoon.\"\n34692,2020/04/06,\"I talked to Claire, Piper, Hazel, Avery for 39 minutes in the late afternoon.\",\"I talked to Claire, Piper, Hazel, Avery for 39 minutes in the late afternoon.\"\n34693,2020/04/06,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n34694,2020/04/06,I spent 41 minutes watching a movie on TV today.,I spent 41 minutes watching a movie on TV today.\n34695,2020/04/07,\"I bought some peaches, mineral water, mouthwash, toothbrush, shampoo, toilet paper online.\",\"I bought some peaches, mineral water, mouthwash, toothbrush, shampoo, toilet paper online.\"\n34696,2020/04/07,I did swimming on 2020/04/07.,I did swimming on 2020/04/07.\n34697,2020/04/07,\"I had breakfast with Piper, Piper, Kinsley, Olivia, Layla, Claire, Hazel, Eva, Lydia, Rylee, Nora, Avery, Nevaeh. I ate peanut-butter-jam.\",\"I had breakfast with Piper, Piper, Kinsley, Olivia, Layla, Claire, Hazel, Eva, Lydia, Rylee, Nora, Avery, Nevaeh. I ate peanut-butter-jam.\"\n34698,2020/04/07,I ate pasta for lunch.,I ate pasta for lunch.\n34699,2020/04/07,\"I had dinner with Claire, Layla, Kinsley. I ate sandwich.\",\"I had dinner with Claire, Layla, Kinsley. I ate sandwich.\"\n34700,2020/04/07,I talked to Lydia for 48 minutes during lunch hours.,I talked to Lydia for 48 minutes during lunch hours.\n34701,2020/04/07,\"I spent 10 talking to Piper, Hazel, Piper on various topics in the early evening.\",\"I spent 10 talking to Piper, Hazel, Piper on various topics in the early evening.\"\n34702,2020/04/07,\"I spent 41 talking to Lydia, Eva, Rylee, Claire on various topics in the early afternoon.\",\"I spent 41 talking to Lydia, Eva, Rylee, Claire on various topics in the early afternoon.\"\n34703,2020/04/07,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n34704,2020/04/07,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n34705,2020/04/08,I did HIIT on 2020/04/08.,I did HIIT on 2020/04/08.\n34706,2020/04/08,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n34707,2020/04/08,\"I had a burger for lunch with Willow, Benjamin, Jackson\",\"I had a burger for lunch with Willow, Benjamin, Jackson\"\n34708,2020/04/08,I prepare tacos for dinner.,I prepare tacos for dinner.\n34709,2020/04/08,I talked to Piper for 45 minutes in the morning.,I talked to Piper for 45 minutes in the morning.\n34710,2020/04/08,I spent 18 talking to Avery on various topics in the late afternoon.,I spent 18 talking to Avery on various topics in the late afternoon.\n34711,2020/04/08,I spent 50 minutes on a book today.,I spent 50 minutes on a book today.\n34712,2020/04/08,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n34713,2020/04/09,\"I had breakfast with Emily, Carter, Andrew, Kayden. I ate toast and cheese.\",\"I had breakfast with Emily, Carter, Andrew, Kayden. I ate toast and cheese.\"\n34714,2020/04/09,I had lunch. I ate steak.,I had lunch. I ate steak.\n34715,2020/04/09,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n34716,2020/04/09,I spent 12 talking to Rylee on various topics late in the evening.,I spent 12 talking to Rylee on various topics late in the evening.\n34717,2020/04/09,\"I spent 23 talking to Olivia, Rylee on various topics late in the evening.\",\"I spent 23 talking to Olivia, Rylee on various topics late in the evening.\"\n34718,2020/04/09,\"I talked to Avery, Nevaeh for 15 minutes in the early evening.\",\"I talked to Avery, Nevaeh for 15 minutes in the early evening.\"\n34719,2020/04/09,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n34720,2020/04/09,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n34721,2020/04/10,I did hiking on 2020/04/10.,I did hiking on 2020/04/10.\n34722,2020/04/10,\"I had eggs, sausages, and bread for breakfast with Willow, Avery, Benjamin\",\"I had eggs, sausages, and bread for breakfast with Willow, Avery, Benjamin\"\n34723,2020/04/10,\"I had chinese food for lunch with Carter, Andrew, Emily\",\"I had chinese food for lunch with Carter, Andrew, Emily\"\n34724,2020/04/10,I ate tacos for dinner.,I ate tacos for dinner.\n34725,2020/04/10,\"I spent 48 talking to Rylee, Eva, Hazel on various topics late in the evening.\",\"I spent 48 talking to Rylee, Eva, Hazel on various topics late in the evening.\"\n34726,2020/04/10,\"I spent 36 talking to Piper, Piper, Layla on various topics in the morning.\",\"I spent 36 talking to Piper, Piper, Layla on various topics in the morning.\"\n34727,2020/04/10,I talked to Nevaeh for 29 minutes in the early afternoon.,I talked to Nevaeh for 29 minutes in the early afternoon.\n34728,2020/04/10,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n34729,2020/04/10,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n34730,2020/04/11,I did running on 2020/04/11.,I did running on 2020/04/11.\n34731,2020/04/11,I had breakfast with Avery. I ate pancakes.,I had breakfast with Avery. I ate pancakes.\n34732,2020/04/11,\"I had lunch with Carter, Emily, Andrew, Kayden. I ate steak.\",\"I had lunch with Carter, Emily, Andrew, Kayden. I ate steak.\"\n34733,2020/04/11,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n34734,2020/04/11,I talked to Rylee for 26 minutes in the early afternoon.,I talked to Rylee for 26 minutes in the early afternoon.\n34735,2020/04/11,\"I talked to Claire, Hazel, Piper for 41 minutes in the early evening.\",\"I talked to Claire, Hazel, Piper for 41 minutes in the early evening.\"\n34736,2020/04/11,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n34737,2020/04/11,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n34738,2020/04/12,I did weight lifting on 2020/04/12.,I did weight lifting on 2020/04/12.\n34739,2020/04/12,I had breakfast with Andrew. I ate pancakes.,I had breakfast with Andrew. I ate pancakes.\n34740,2020/04/12,I prepare a burger for lunch.,I prepare a burger for lunch.\n34741,2020/04/12,\"I had dinner with Kayden, Emily, Carter, Andrew. I ate sushi.\",\"I had dinner with Kayden, Emily, Carter, Andrew. I ate sushi.\"\n34742,2020/04/12,\"I talked to Olivia, Hazel, Kinsley, Claire for 23 minutes in the late afternoon.\",\"I talked to Olivia, Hazel, Kinsley, Claire for 23 minutes in the late afternoon.\"\n34743,2020/04/12,\"I talked to Kinsley, Nevaeh for 11 minutes in the morning.\",\"I talked to Kinsley, Nevaeh for 11 minutes in the morning.\"\n34744,2020/04/12,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n34745,2020/04/12,I spent 38 minutes watching a tv series on TV today.,I spent 38 minutes watching a tv series on TV today.\n34746,2020/04/13,I went on a date with Dominic on 2020/04/13 at a restaurant,I went on a date with Dominic on 2020/04/13 at a restaurant\n34747,2020/04/13,I did HIIT on 2020/04/13.,I did HIIT on 2020/04/13.\n34748,2020/04/13,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n34749,2020/04/13,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n34750,2020/04/13,I had a burger for dinner with Avery,I had a burger for dinner with Avery\n34751,2020/04/13,\"I talked to Rylee, Layla for 16 minutes during lunch hours.\",\"I talked to Rylee, Layla for 16 minutes during lunch hours.\"\n34752,2020/04/13,\"I spent 55 talking to Kinsley, Claire, Lydia, Rylee on various topics during lunch hours.\",\"I spent 55 talking to Kinsley, Claire, Lydia, Rylee on various topics during lunch hours.\"\n34753,2020/04/13,\"I spent 10 talking to Nevaeh, Rylee, Piper on various topics in the early afternoon.\",\"I spent 10 talking to Nevaeh, Rylee, Piper on various topics in the early afternoon.\"\n34754,2020/04/13,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n34755,2020/04/13,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n34756,2020/04/14,I did running on 2020/04/14.,I did running on 2020/04/14.\n34757,2020/04/14,\"I had peanut-butter-jam for breakfast with Rylee, Avery, Piper, Claire, Lydia, Piper, Olivia, Eva, Nevaeh, Kinsley, Nora\",\"I had peanut-butter-jam for breakfast with Rylee, Avery, Piper, Claire, Lydia, Piper, Olivia, Eva, Nevaeh, Kinsley, Nora\"\n34758,2020/04/14,I ate sushi for lunch.,I ate sushi for lunch.\n34759,2020/04/14,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n34760,2020/04/14,\"I talked to Olivia, Avery, Piper for 15 minutes in the late afternoon.\",\"I talked to Olivia, Avery, Piper for 15 minutes in the late afternoon.\"\n34761,2020/04/14,I spent 50 talking to Olivia on various topics during lunch hours.,I spent 50 talking to Olivia on various topics during lunch hours.\n34762,2020/04/14,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n34763,2020/04/14,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n34764,2020/04/15,I did weight lifting on 2020/04/15.,I did weight lifting on 2020/04/15.\n34765,2020/04/15,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n34766,2020/04/15,I had indian food for lunch with Carter,I had indian food for lunch with Carter\n34767,2020/04/15,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n34768,2020/04/15,\"I spent 26 talking to Layla, Olivia on various topics in the late afternoon.\",\"I spent 26 talking to Layla, Olivia on various topics in the late afternoon.\"\n34769,2020/04/15,\"I talked to Nevaeh, Claire, Kinsley, Lydia for 12 minutes during lunch hours.\",\"I talked to Nevaeh, Claire, Kinsley, Lydia for 12 minutes during lunch hours.\"\n34770,2020/04/15,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n34771,2020/04/15,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n34772,2020/04/16,\"I spent time learning a language on 2020/04/16 with Andrew, Kayden.\",\"I spent time learning a language on 2020/04/16 with Andrew, Kayden.\"\n34773,2020/04/16,I did swimming on 2020/04/16.,I did swimming on 2020/04/16.\n34774,2020/04/16,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n34775,2020/04/16,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n34776,2020/04/16,I ate sandwich for dinner.,I ate sandwich for dinner.\n34777,2020/04/16,\"I spent 20 talking to Lydia, Claire on various topics in the late afternoon.\",\"I spent 20 talking to Lydia, Claire on various topics in the late afternoon.\"\n34778,2020/04/16,\"I spent 9 talking to Piper, Rylee, Nora, Hazel on various topics during lunch hours.\",\"I spent 9 talking to Piper, Rylee, Nora, Hazel on various topics during lunch hours.\"\n34779,2020/04/16,\"I talked to Avery, Nevaeh, Piper, Olivia for 9 minutes during lunch hours.\",\"I talked to Avery, Nevaeh, Piper, Olivia for 9 minutes during lunch hours.\"\n34780,2020/04/16,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n34781,2020/04/16,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n34782,2020/04/17,I did HIIT on 2020/04/17.,I did HIIT on 2020/04/17.\n34783,2020/04/17,\"I had breakfast with Nora, Olivia, Lydia, Eva. I ate peanut-butter-jam.\",\"I had breakfast with Nora, Olivia, Lydia, Eva. I ate peanut-butter-jam.\"\n34784,2020/04/17,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n34785,2020/04/17,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n34786,2020/04/17,\"I spent 6 talking to Olivia, Lydia, Avery, Piper on various topics during lunch hours.\",\"I spent 6 talking to Olivia, Lydia, Avery, Piper on various topics during lunch hours.\"\n34787,2020/04/17,I talked to Olivia for 45 minutes in the early afternoon.,I talked to Olivia for 45 minutes in the early afternoon.\n34788,2020/04/17,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n34789,2020/04/17,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n34790,2020/04/18,I did weight lifting on 2020/04/18.,I did weight lifting on 2020/04/18.\n34791,2020/04/18,\"I had breakfast with Carter, Andrew, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Andrew, Emily. I ate eggs, sausages, and bread.\"\n34792,2020/04/18,I prepare steak for lunch.,I prepare steak for lunch.\n34793,2020/04/18,\"I had dinner with Jackson, Benjamin. I ate sushi.\",\"I had dinner with Jackson, Benjamin. I ate sushi.\"\n34794,2020/04/18,\"I spent 34 talking to Kinsley, Piper on various topics in the early afternoon.\",\"I spent 34 talking to Kinsley, Piper on various topics in the early afternoon.\"\n34795,2020/04/18,\"I spent 21 talking to Avery, Nevaeh, Nora, Kinsley on various topics in the morning.\",\"I spent 21 talking to Avery, Nevaeh, Nora, Kinsley on various topics in the morning.\"\n34796,2020/04/18,\"I spent 53 talking to Layla, Piper, Rylee, Nevaeh on various topics in the early afternoon.\",\"I spent 53 talking to Layla, Piper, Rylee, Nevaeh on various topics in the early afternoon.\"\n34797,2020/04/18,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n34798,2020/04/18,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n34799,2020/04/19,I did hiking on 2020/04/19.,I did hiking on 2020/04/19.\n34800,2020/04/19,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n34801,2020/04/19,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n34802,2020/04/19,\"I had steak for dinner with Emily, Kayden, Andrew\",\"I had steak for dinner with Emily, Kayden, Andrew\"\n34803,2020/04/19,\"I spent 39 talking to Piper, Layla, Nevaeh, Nora on various topics in the morning.\",\"I spent 39 talking to Piper, Layla, Nevaeh, Nora on various topics in the morning.\"\n34804,2020/04/19,\"I talked to Nora, Layla, Rylee for 38 minutes in the early afternoon.\",\"I talked to Nora, Layla, Rylee for 38 minutes in the early afternoon.\"\n34805,2020/04/19,I talked to Claire for 17 minutes in the early evening.,I talked to Claire for 17 minutes in the early evening.\n34806,2020/04/19,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n34807,2020/04/19,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n34808,2020/04/20,\"I was baking blackberry jam pie-crust straws on 2020/04/20 with Carter, Andrew, Emily at my place\",\"I was baking blackberry jam pie-crust straws on 2020/04/20 with Carter, Andrew, Emily at my place\"\n34809,2020/04/20,I did swimming on 2020/04/20.,I did swimming on 2020/04/20.\n34810,2020/04/20,\"I had pancakes for breakfast with Lydia, Avery, Layla, Hazel, Claire, Eva, Kinsley, Piper\",\"I had pancakes for breakfast with Lydia, Avery, Layla, Hazel, Claire, Eva, Kinsley, Piper\"\n34811,2020/04/20,I ate indian food for lunch.,I ate indian food for lunch.\n34812,2020/04/20,I prepare sushi for dinner.,I prepare sushi for dinner.\n34813,2020/04/20,\"I talked to Eva, Hazel for 36 minutes late in the evening.\",\"I talked to Eva, Hazel for 36 minutes late in the evening.\"\n34814,2020/04/20,\"I talked to Piper, Piper, Hazel for 24 minutes late in the evening.\",\"I talked to Piper, Piper, Hazel for 24 minutes late in the evening.\"\n34815,2020/04/20,\"I talked to Piper, Hazel, Claire, Eva for 18 minutes in the early afternoon.\",\"I talked to Piper, Hazel, Claire, Eva for 18 minutes in the early afternoon.\"\n34816,2020/04/20,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n34817,2020/04/20,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n34818,2020/04/21,I spent some time meditation on 2020/04/21.,I spent some time meditation on 2020/04/21.\n34819,2020/04/21,\"I went grocery shopping with Andrew, Carter, Kayden. I bought some cherres, blackberries, apples, apple juice, soda, pineapple juice, coffee, and mouthwash, paper towel, body lotion, shaving cream\",\"I went grocery shopping with Andrew, Carter, Kayden. I bought some cherres, blackberries, apples, apple juice, soda, pineapple juice, coffee, and mouthwash, paper towel, body lotion, shaving cream\"\n34820,2020/04/21,I did running on 2020/04/21.,I did running on 2020/04/21.\n34821,2020/04/21,\"I had eggs, sausages, and bread for breakfast with Andrew, Emily, Kayden, Carter\",\"I had eggs, sausages, and bread for breakfast with Andrew, Emily, Kayden, Carter\"\n34822,2020/04/21,I ate steak for lunch.,I ate steak for lunch.\n34823,2020/04/21,I ate indian food for dinner.,I ate indian food for dinner.\n34824,2020/04/21,\"I talked to Piper, Hazel, Claire for 37 minutes during lunch hours.\",\"I talked to Piper, Hazel, Claire for 37 minutes during lunch hours.\"\n34825,2020/04/21,\"I spent 49 talking to Olivia, Piper, Rylee, Layla on various topics in the early afternoon.\",\"I spent 49 talking to Olivia, Piper, Rylee, Layla on various topics in the early afternoon.\"\n34826,2020/04/21,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n34827,2020/04/21,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n34828,2020/04/22,I did hiking on 2020/04/22.,I did hiking on 2020/04/22.\n34829,2020/04/22,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n34830,2020/04/22,\"I had lunch with Kayden, Emily, Carter, Andrew. I ate indian food.\",\"I had lunch with Kayden, Emily, Carter, Andrew. I ate indian food.\"\n34831,2020/04/22,I prepare a burger for dinner.,I prepare a burger for dinner.\n34832,2020/04/22,\"I spent 43 talking to Nevaeh, Claire, Avery, Piper on various topics in the early evening.\",\"I spent 43 talking to Nevaeh, Claire, Avery, Piper on various topics in the early evening.\"\n34833,2020/04/22,\"I talked to Claire, Avery for 9 minutes in the early evening.\",\"I talked to Claire, Avery for 9 minutes in the early evening.\"\n34834,2020/04/22,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n34835,2020/04/22,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n34836,2020/04/23,\"I bought some blackberries, strawberries, guava, raspberries, soda, apple juice, pineapple juice, mineral water, conditioner from the grocery store. I saw Willow, Benjamin, Jackson at the grocery store.\",\"I bought some blackberries, strawberries, guava, raspberries, soda, apple juice, pineapple juice, mineral water, conditioner from the grocery store. I saw Willow, Benjamin, Jackson at the grocery store.\"\n34837,2020/04/23,I did weight lifting on 2020/04/23.,I did weight lifting on 2020/04/23.\n34838,2020/04/23,\"I had pancakes for breakfast with Olivia, Rylee, Piper, Avery, Eva\",\"I had pancakes for breakfast with Olivia, Rylee, Piper, Avery, Eva\"\n34839,2020/04/23,I prepare sushi for lunch.,I prepare sushi for lunch.\n34840,2020/04/23,\"I had dinner with Claire, Rylee, Layla, Piper, Lydia, Hazel, Piper, Eva. I ate sandwich.\",\"I had dinner with Claire, Rylee, Layla, Piper, Lydia, Hazel, Piper, Eva. I ate sandwich.\"\n34841,2020/04/23,\"I talked to Claire, Hazel, Kinsley, Nora for 50 minutes during lunch hours.\",\"I talked to Claire, Hazel, Kinsley, Nora for 50 minutes during lunch hours.\"\n34842,2020/04/23,\"I spent 25 talking to Hazel, Layla, Nora on various topics late in the evening.\",\"I spent 25 talking to Hazel, Layla, Nora on various topics late in the evening.\"\n34843,2020/04/23,\"I talked to Kinsley, Lydia, Piper for 18 minutes in the early afternoon.\",\"I talked to Kinsley, Lydia, Piper for 18 minutes in the early afternoon.\"\n34844,2020/04/23,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n34845,2020/04/23,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n34846,2020/04/24,\"I entertained Jackson at my place on 2020/04/24 and cook gado gado, cream of celery soup recipe, ground turkey vegetable soup\",\"I entertained Jackson at my place on 2020/04/24 and cook gado gado, cream of celery soup recipe, ground turkey vegetable soup\"\n34847,2020/04/24,I did swimming on 2020/04/24.,I did swimming on 2020/04/24.\n34848,2020/04/24,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n34849,2020/04/24,I prepare pasta for lunch.,I prepare pasta for lunch.\n34850,2020/04/24,I prepare pasta for dinner.,I prepare pasta for dinner.\n34851,2020/04/24,\"I spent 39 talking to Piper, Avery, Lydia on various topics in the morning.\",\"I spent 39 talking to Piper, Avery, Lydia on various topics in the morning.\"\n34852,2020/04/24,\"I spent 38 talking to Kinsley, Rylee, Nora on various topics in the late afternoon.\",\"I spent 38 talking to Kinsley, Rylee, Nora on various topics in the late afternoon.\"\n34853,2020/04/24,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n34854,2020/04/24,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n34855,2020/04/25,I went on a date with Santiago  on 2020/04/25 at a coffee Shop,I went on a date with Santiago  on 2020/04/25 at a coffee Shop\n34856,2020/04/25,\"I bought some pears, coffee, milk, guava juice, facial wash from the grocery store. I saw Jackson at the grocery store.\",\"I bought some pears, coffee, milk, guava juice, facial wash from the grocery store. I saw Jackson at the grocery store.\"\n34857,2020/04/25,I did hiking on 2020/04/25.,I did hiking on 2020/04/25.\n34858,2020/04/25,\"I had cereals for breakfast with Nora, Rylee, Olivia, Nevaeh, Avery\",\"I had cereals for breakfast with Nora, Rylee, Olivia, Nevaeh, Avery\"\n34859,2020/04/25,I prepare steak for lunch.,I prepare steak for lunch.\n34860,2020/04/25,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n34861,2020/04/25,\"I spent 44 talking to Rylee, Nevaeh, Nora on various topics in the morning.\",\"I spent 44 talking to Rylee, Nevaeh, Nora on various topics in the morning.\"\n34862,2020/04/25,\"I spent 42 talking to Claire, Olivia, Nevaeh on various topics in the late afternoon.\",\"I spent 42 talking to Claire, Olivia, Nevaeh on various topics in the late afternoon.\"\n34863,2020/04/25,\"I spent 36 talking to Claire, Layla, Piper on various topics in the late afternoon.\",\"I spent 36 talking to Claire, Layla, Piper on various topics in the late afternoon.\"\n34864,2020/04/25,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n34865,2020/04/25,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n34866,2020/04/26,I did HIIT on 2020/04/26.,I did HIIT on 2020/04/26.\n34867,2020/04/26,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n34868,2020/04/26,I prepare pasta for lunch.,I prepare pasta for lunch.\n34869,2020/04/26,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n34870,2020/04/26,\"I spent 31 talking to Piper, Hazel, Nevaeh, Nora on various topics in the late afternoon.\",\"I spent 31 talking to Piper, Hazel, Nevaeh, Nora on various topics in the late afternoon.\"\n34871,2020/04/26,\"I spent 53 talking to Claire, Nora, Hazel on various topics in the early evening.\",\"I spent 53 talking to Claire, Nora, Hazel on various topics in the early evening.\"\n34872,2020/04/26,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n34873,2020/04/26,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n34874,2020/04/27,I spent some time yoga on 2020/04/27.,I spent some time yoga on 2020/04/27.\n34875,2020/04/27,I did HIIT on 2020/04/27.,I did HIIT on 2020/04/27.\n34876,2020/04/27,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n34877,2020/04/27,\"I had lunch with Claire, Hazel, Avery. I ate sushi.\",\"I had lunch with Claire, Hazel, Avery. I ate sushi.\"\n34878,2020/04/27,\"I had steak for dinner with Nevaeh, Claire, Rylee, Avery, Eva, Hazel, Lydia, Layla, Piper\",\"I had steak for dinner with Nevaeh, Claire, Rylee, Avery, Eva, Hazel, Lydia, Layla, Piper\"\n34879,2020/04/27,\"I talked to Claire, Nevaeh, Piper for 21 minutes in the early evening.\",\"I talked to Claire, Nevaeh, Piper for 21 minutes in the early evening.\"\n34880,2020/04/27,\"I spent 52 talking to Piper, Avery, Kinsley on various topics in the late afternoon.\",\"I spent 52 talking to Piper, Avery, Kinsley on various topics in the late afternoon.\"\n34881,2020/04/27,\"I spent 20 talking to Avery, Piper, Layla on various topics in the early evening.\",\"I spent 20 talking to Avery, Piper, Layla on various topics in the early evening.\"\n34882,2020/04/27,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n34883,2020/04/27,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n34884,2020/04/28,\"I entertained Jackson, Avery, Benjamin at my place on 2020/04/28 and cook chicken cordon bleu skillet\",\"I entertained Jackson, Avery, Benjamin at my place on 2020/04/28 and cook chicken cordon bleu skillet\"\n34885,2020/04/28,\"I had breakfast with Jackson, Avery, Willow, Benjamin. I ate cereals.\",\"I had breakfast with Jackson, Avery, Willow, Benjamin. I ate cereals.\"\n34886,2020/04/28,\"I had lunch with Jackson, Willow. I ate steak.\",\"I had lunch with Jackson, Willow. I ate steak.\"\n34887,2020/04/28,I ate steak for dinner.,I ate steak for dinner.\n34888,2020/04/28,\"I spent 14 talking to Kinsley, Olivia, Nevaeh on various topics late in the evening.\",\"I spent 14 talking to Kinsley, Olivia, Nevaeh on various topics late in the evening.\"\n34889,2020/04/28,I talked to Piper for 14 minutes in the late afternoon.,I talked to Piper for 14 minutes in the late afternoon.\n34890,2020/04/28,I spent 23 talking to Piper on various topics in the early afternoon.,I spent 23 talking to Piper on various topics in the early afternoon.\n34891,2020/04/28,\"I spent 24 talking to Olivia, Nevaeh on various topics in the late afternoon.\",\"I spent 24 talking to Olivia, Nevaeh on various topics in the late afternoon.\"\n34892,2020/04/28,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n34893,2020/04/28,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n34894,2020/04/29,\"I bought some pears, blueberries, mangos, mineral water, apple juice, paper towel, facial wash from the grocery store. I saw Jackson at the grocery store.\",\"I bought some pears, blueberries, mangos, mineral water, apple juice, paper towel, facial wash from the grocery store. I saw Jackson at the grocery store.\"\n34895,2020/04/29,I did weight lifting on 2020/04/29.,I did weight lifting on 2020/04/29.\n34896,2020/04/29,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n34897,2020/04/29,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n34898,2020/04/29,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n34899,2020/04/29,I spent 42 talking to Nevaeh on various topics in the late afternoon.,I spent 42 talking to Nevaeh on various topics in the late afternoon.\n34900,2020/04/29,\"I spent 27 talking to Kinsley, Piper on various topics during lunch hours.\",\"I spent 27 talking to Kinsley, Piper on various topics during lunch hours.\"\n34901,2020/04/29,\"I talked to Piper, Layla for 8 minutes late in the evening.\",\"I talked to Piper, Layla for 8 minutes late in the evening.\"\n34902,2020/04/29,I spent 52 talking to Hazel on various topics in the late afternoon.,I spent 52 talking to Hazel on various topics in the late afternoon.\n34903,2020/04/29,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n34904,2020/04/29,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n34905,2020/04/30,I did biking on 2020/04/30.,I did biking on 2020/04/30.\n34906,2020/04/30,\"I had breakfast with Eva, Claire, Nora, Piper, Layla, Hazel, Kinsley, Lydia, Rylee, Avery, Nevaeh. I ate cereals.\",\"I had breakfast with Eva, Claire, Nora, Piper, Layla, Hazel, Kinsley, Lydia, Rylee, Avery, Nevaeh. I ate cereals.\"\n34907,2020/04/30,I prepare tacos for lunch.,I prepare tacos for lunch.\n34908,2020/04/30,I ate a burger for dinner.,I ate a burger for dinner.\n34909,2020/04/30,I talked to Lydia for 32 minutes during lunch hours.,I talked to Lydia for 32 minutes during lunch hours.\n34910,2020/04/30,I spent 36 talking to Kinsley on various topics during lunch hours.,I spent 36 talking to Kinsley on various topics during lunch hours.\n34911,2020/04/30,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n34912,2020/04/30,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n34913,2020/05/01,\"On 2020/05/01 Piper and I went to Paris, France together for 11 days \",\"On 2020/05/01 Piper and I went to Paris, France together for 11 days \"\n34914,2020/05/01,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n34915,2020/05/01,\"I had fish and chips for lunch with Andrew, Emily\",\"I had fish and chips for lunch with Andrew, Emily\"\n34916,2020/05/01,I had chinese food for dinner with Willow,I had chinese food for dinner with Willow\n34917,2020/05/01,\"I spent 8 talking to Olivia, Claire, Avery, Nora on various topics during lunch hours.\",\"I spent 8 talking to Olivia, Claire, Avery, Nora on various topics during lunch hours.\"\n34918,2020/05/01,\"I spent 45 talking to Piper, Olivia, Nevaeh, Avery on various topics in the morning.\",\"I spent 45 talking to Piper, Olivia, Nevaeh, Avery on various topics in the morning.\"\n34919,2020/05/01,I talked to Claire for 32 minutes late in the evening.,I talked to Claire for 32 minutes late in the evening.\n34920,2020/05/01,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n34921,2020/05/01,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n34922,2020/05/02,\"During my trip to Paris, France, I visited Eiffel Tower on 2020/05 with Piper.\",\"During my trip to Paris, France, I visited Eiffel Tower on 2020/05 with Piper.\"\n34923,2020/05/02,\"I ate Italian food at Man’Ouché with Piper on  2020/05/02 when I was in Paris, France.\",\"I ate Italian food at Man’Ouché with Piper on  2020/05/02 when I was in Paris, France.\"\n34924,2020/05/02,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n34925,2020/05/02,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n34926,2020/05/02,\"I had sushi for dinner with Layla, Olivia, Nora, Eva\",\"I had sushi for dinner with Layla, Olivia, Nora, Eva\"\n34927,2020/05/02,I talked to Piper for 19 minutes in the early evening.,I talked to Piper for 19 minutes in the early evening.\n34928,2020/05/02,I talked to Nevaeh for 31 minutes late in the evening.,I talked to Nevaeh for 31 minutes late in the evening.\n34929,2020/05/02,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n34930,2020/05/02,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n34931,2020/05/03,\"During my trip to Paris, France, I visited Notre Dame Cathedral on 2020/05 with Piper.\",\"During my trip to Paris, France, I visited Notre Dame Cathedral on 2020/05 with Piper.\"\n34932,2020/05/03,\"I ate Indian food at Man’Ouché with Piper on  2020/05/03 when I was in Paris, France.\",\"I ate Indian food at Man’Ouché with Piper on  2020/05/03 when I was in Paris, France.\"\n34933,2020/05/03,\"On 2020/05/03, I took Autumn on a date to a boba shop\",\"On 2020/05/03, I took Autumn on a date to a boba shop\"\n34934,2020/05/03,I ate cereals for breakfast.,I ate cereals for breakfast.\n34935,2020/05/03,I ate sushi for lunch.,I ate sushi for lunch.\n34936,2020/05/03,I had dinner. I ate steak.,I had dinner. I ate steak.\n34937,2020/05/03,I spent 29 talking to Avery on various topics in the early afternoon.,I spent 29 talking to Avery on various topics in the early afternoon.\n34938,2020/05/03,\"I spent 46 talking to Lydia, Piper on various topics in the late afternoon.\",\"I spent 46 talking to Lydia, Piper on various topics in the late afternoon.\"\n34939,2020/05/03,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n34940,2020/05/03,I watched a tv series for 51 minutes on TV today.,I watched a tv series for 51 minutes on TV today.\n34941,2020/05/04,\"During my trip to Paris, France, I visited Montmartre on 2020/05 with Piper.\",\"During my trip to Paris, France, I visited Montmartre on 2020/05 with Piper.\"\n34942,2020/05/04,\"I ate Indian food at Le Food Market with Piper on  2020/05/04 when I was in Paris, France.\",\"I ate Indian food at Le Food Market with Piper on  2020/05/04 when I was in Paris, France.\"\n34943,2020/05/04,Kayden for his/her  and I went for an annual physical checkup at the university hospital on 2020/05/04.,Kayden for his/her  and I went for an annual physical checkup at the university hospital on 2020/05/04.\n34944,2020/05/04,\"I had breakfast with Carter, Emily, Andrew. I ate toast and cheese.\",\"I had breakfast with Carter, Emily, Andrew. I ate toast and cheese.\"\n34945,2020/05/04,\"I had lunch with Kayden, Andrew, Emily. I ate fish and chips.\",\"I had lunch with Kayden, Andrew, Emily. I ate fish and chips.\"\n34946,2020/05/04,\"I had dinner with Andrew, Emily, Carter. I ate tacos.\",\"I had dinner with Andrew, Emily, Carter. I ate tacos.\"\n34947,2020/05/04,\"I talked to Hazel, Kinsley, Avery for 42 minutes in the morning.\",\"I talked to Hazel, Kinsley, Avery for 42 minutes in the morning.\"\n34948,2020/05/04,I talked to Nora for 10 minutes in the late afternoon.,I talked to Nora for 10 minutes in the late afternoon.\n34949,2020/05/04,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n34950,2020/05/04,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n34951,2020/05/05,\"During my trip to Paris, France, I visited Champs Elysées on 2020/05 with Piper.\",\"During my trip to Paris, France, I visited Champs Elysées on 2020/05 with Piper.\"\n34952,2020/05/05,\"I bought some watermelons, coffee, mango juice, shaving cream online.\",\"I bought some watermelons, coffee, mango juice, shaving cream online.\"\n34953,2020/05/05,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n34954,2020/05/05,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n34955,2020/05/05,I prepare steak for dinner.,I prepare steak for dinner.\n34956,2020/05/05,\"I talked to Lydia, Olivia for 21 minutes during lunch hours.\",\"I talked to Lydia, Olivia for 21 minutes during lunch hours.\"\n34957,2020/05/05,I talked to Claire for 21 minutes during lunch hours.,I talked to Claire for 21 minutes during lunch hours.\n34958,2020/05/05,\"I talked to Nora, Olivia for 24 minutes in the early afternoon.\",\"I talked to Nora, Olivia for 24 minutes in the early afternoon.\"\n34959,2020/05/05,\"I talked to Olivia, Piper, Layla, Nevaeh for 31 minutes during lunch hours.\",\"I talked to Olivia, Piper, Layla, Nevaeh for 31 minutes during lunch hours.\"\n34960,2020/05/05,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n34961,2020/05/05,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n34962,2020/05/06,\"During my trip to Paris, France, I visited Louvre Museum on 2020/05 with Piper.\",\"During my trip to Paris, France, I visited Louvre Museum on 2020/05 with Piper.\"\n34963,2020/05/06,\"I ate Chinese food at Man’Ouché with Piper on  2020/05/06 when I was in Paris, France.\",\"I ate Chinese food at Man’Ouché with Piper on  2020/05/06 when I was in Paris, France.\"\n34964,2020/05/06,I went on a date with Ryan on 2020/05/06 at a boba shop,I went on a date with Ryan on 2020/05/06 at a boba shop\n34965,2020/05/06,\"I had breakfast with Avery, Willow. I ate cereals.\",\"I had breakfast with Avery, Willow. I ate cereals.\"\n34966,2020/05/06,\"I had lunch with Carter, Emily, Andrew. I ate sushi.\",\"I had lunch with Carter, Emily, Andrew. I ate sushi.\"\n34967,2020/05/06,\"I had fish and chips for dinner with Andrew, Carter, Emily, Kayden\",\"I had fish and chips for dinner with Andrew, Carter, Emily, Kayden\"\n34968,2020/05/06,\"I talked to Rylee, Piper, Claire, Nora for 10 minutes late in the evening.\",\"I talked to Rylee, Piper, Claire, Nora for 10 minutes late in the evening.\"\n34969,2020/05/06,I talked to Hazel for 5 minutes during lunch hours.,I talked to Hazel for 5 minutes during lunch hours.\n34970,2020/05/06,I spent 11 talking to Avery on various topics late in the evening.,I spent 11 talking to Avery on various topics late in the evening.\n34971,2020/05/06,I spent 39 talking to Olivia on various topics during lunch hours.,I spent 39 talking to Olivia on various topics during lunch hours.\n34972,2020/05/06,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n34973,2020/05/06,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n34974,2020/05/07,I did HIIT on 2020/05/07.,I did HIIT on 2020/05/07.\n34975,2020/05/07,\"I had breakfast with Emily, Andrew, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Andrew, Kayden. I ate eggs, sausages, and bread.\"\n34976,2020/05/07,\"I had a burger for lunch with Avery, Nevaeh, Hazel, Piper, Lydia\",\"I had a burger for lunch with Avery, Nevaeh, Hazel, Piper, Lydia\"\n34977,2020/05/07,I prepare indian food for dinner.,I prepare indian food for dinner.\n34978,2020/05/07,\"I talked to Hazel, Nora for 16 minutes in the early afternoon.\",\"I talked to Hazel, Nora for 16 minutes in the early afternoon.\"\n34979,2020/05/07,\"I talked to Kinsley, Piper, Hazel for 43 minutes in the early evening.\",\"I talked to Kinsley, Piper, Hazel for 43 minutes in the early evening.\"\n34980,2020/05/07,\"I talked to Avery, Claire, Piper for 51 minutes late in the evening.\",\"I talked to Avery, Claire, Piper for 51 minutes late in the evening.\"\n34981,2020/05/07,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n34982,2020/05/07,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n34983,2020/05/08,\"I ate Chinese food at Man’Ouché with Piper on  2020/05/08 when I was in Paris, France.\",\"I ate Chinese food at Man’Ouché with Piper on  2020/05/08 when I was in Paris, France.\"\n34984,2020/05/08,\"I went grocery shopping with Olivia, Nora, Rylee, Nevaeh. I bought some bananas, guava, apples, mangos, orange juice, sports drinks, pineapple juice, coffee, and shaving cream, toilet paper, body lotion\",\"I went grocery shopping with Olivia, Nora, Rylee, Nevaeh. I bought some bananas, guava, apples, mangos, orange juice, sports drinks, pineapple juice, coffee, and shaving cream, toilet paper, body lotion\"\n34985,2020/05/08,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n34986,2020/05/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n34987,2020/05/08,I ate indian food for dinner.,I ate indian food for dinner.\n34988,2020/05/08,\"I talked to Lydia, Eva, Nora for 13 minutes during lunch hours.\",\"I talked to Lydia, Eva, Nora for 13 minutes during lunch hours.\"\n34989,2020/05/08,I talked to Nora for 7 minutes in the early evening.,I talked to Nora for 7 minutes in the early evening.\n34990,2020/05/08,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n34991,2020/05/08,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n34992,2020/05/09,\"I ate local food at Le Food Market with Piper on  2020/05/09 when I was in Paris, France.\",\"I ate local food at Le Food Market with Piper on  2020/05/09 when I was in Paris, France.\"\n34993,2020/05/09,\"I had cereals for breakfast with Nevaeh, Hazel, Lydia, Piper, Piper\",\"I had cereals for breakfast with Nevaeh, Hazel, Lydia, Piper, Piper\"\n34994,2020/05/09,\"I had lunch with Layla, Piper, Rylee. I ate chinese food.\",\"I had lunch with Layla, Piper, Rylee. I ate chinese food.\"\n34995,2020/05/09,I prepare tacos for dinner.,I prepare tacos for dinner.\n34996,2020/05/09,\"I spent 37 talking to Piper, Piper on various topics in the early evening.\",\"I spent 37 talking to Piper, Piper on various topics in the early evening.\"\n34997,2020/05/09,I talked to Piper for 38 minutes late in the evening.,I talked to Piper for 38 minutes late in the evening.\n34998,2020/05/09,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n34999,2020/05/09,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n35000,2020/05/10,I did hiking on 2020/05/10.,I did hiking on 2020/05/10.\n35001,2020/05/10,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n35002,2020/05/10,\"I had lunch with Nevaeh, Layla. I ate chinese food.\",\"I had lunch with Nevaeh, Layla. I ate chinese food.\"\n35003,2020/05/10,I ate pasta for dinner.,I ate pasta for dinner.\n35004,2020/05/10,\"I spent 14 talking to Piper, Claire on various topics during lunch hours.\",\"I spent 14 talking to Piper, Claire on various topics during lunch hours.\"\n35005,2020/05/10,I talked to Avery for 11 minutes during lunch hours.,I talked to Avery for 11 minutes during lunch hours.\n35006,2020/05/10,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n35007,2020/05/10,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n35008,2020/05/11,\"I ate Italian food at Le Food Market with Piper on  2020/05/11 when I was in Paris, France.\",\"I ate Italian food at Le Food Market with Piper on  2020/05/11 when I was in Paris, France.\"\n35009,2020/05/11,\"I went grocery shopping. I bought some apples, peaches, pears, mineral water, and toilet paper, mouth wash, shampoo, toothpaste\",\"I went grocery shopping. I bought some apples, peaches, pears, mineral water, and toilet paper, mouth wash, shampoo, toothpaste\"\n35010,2020/05/11,\"I had breakfast with Emily, Kayden, Andrew. I ate toast and cheese.\",\"I had breakfast with Emily, Kayden, Andrew. I ate toast and cheese.\"\n35011,2020/05/11,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n35012,2020/05/11,I ate sushi for dinner.,I ate sushi for dinner.\n35013,2020/05/11,\"I talked to Nevaeh, Lydia, Eva for 13 minutes during lunch hours.\",\"I talked to Nevaeh, Lydia, Eva for 13 minutes during lunch hours.\"\n35014,2020/05/11,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n35015,2020/05/11,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n35016,2020/05/12,I did swimming on 2020/05/12.,I did swimming on 2020/05/12.\n35017,2020/05/12,\"I had toast and cheese for breakfast with Andrew, Emily, Kayden\",\"I had toast and cheese for breakfast with Andrew, Emily, Kayden\"\n35018,2020/05/12,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n35019,2020/05/12,I prepare tacos for dinner.,I prepare tacos for dinner.\n35020,2020/05/12,\"I spent 19 talking to Rylee, Piper, Claire, Piper on various topics during lunch hours.\",\"I spent 19 talking to Rylee, Piper, Claire, Piper on various topics during lunch hours.\"\n35021,2020/05/12,\"I talked to Claire, Piper, Hazel for 52 minutes in the early evening.\",\"I talked to Claire, Piper, Hazel for 52 minutes in the early evening.\"\n35022,2020/05/12,\"I talked to Nevaeh, Eva, Nora, Rylee for 35 minutes in the late afternoon.\",\"I talked to Nevaeh, Eva, Nora, Rylee for 35 minutes in the late afternoon.\"\n35023,2020/05/12,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n35024,2020/05/12,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n35025,2020/05/13,\"I had breakfast with Kayden, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Andrew. I ate peanut-butter-jam.\"\n35026,2020/05/13,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n35027,2020/05/13,I ate sandwich for dinner.,I ate sandwich for dinner.\n35028,2020/05/13,I talked to Kinsley for 7 minutes in the early afternoon.,I talked to Kinsley for 7 minutes in the early afternoon.\n35029,2020/05/13,I spent 40 talking to Kinsley on various topics in the early afternoon.,I spent 40 talking to Kinsley on various topics in the early afternoon.\n35030,2020/05/13,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n35031,2020/05/13,I spent 22 minutes watching a movie on TV today.,I spent 22 minutes watching a movie on TV today.\n35032,2020/05/14,I did weight lifting on 2020/05/14.,I did weight lifting on 2020/05/14.\n35033,2020/05/14,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n35034,2020/05/14,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n35035,2020/05/14,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n35036,2020/05/14,I spent 54 talking to Piper on various topics in the morning.,I spent 54 talking to Piper on various topics in the morning.\n35037,2020/05/14,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n35038,2020/05/14,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n35039,2020/05/15,I did running on 2020/05/15.,I did running on 2020/05/15.\n35040,2020/05/15,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n35041,2020/05/15,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n35042,2020/05/15,I prepare indian food for dinner.,I prepare indian food for dinner.\n35043,2020/05/15,I spent 28 talking to Eva on various topics late in the evening.,I spent 28 talking to Eva on various topics late in the evening.\n35044,2020/05/15,\"I spent 26 talking to Piper, Claire, Avery, Lydia on various topics in the morning.\",\"I spent 26 talking to Piper, Claire, Avery, Lydia on various topics in the morning.\"\n35045,2020/05/15,I spent 19 talking to Avery on various topics in the morning.,I spent 19 talking to Avery on various topics in the morning.\n35046,2020/05/15,I talked to Nevaeh for 37 minutes in the early evening.,I talked to Nevaeh for 37 minutes in the early evening.\n35047,2020/05/15,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n35048,2020/05/15,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n35049,2020/05/16,I did swimming on 2020/05/16.,I did swimming on 2020/05/16.\n35050,2020/05/16,I ate cereals for breakfast.,I ate cereals for breakfast.\n35051,2020/05/16,I prepare tacos for lunch.,I prepare tacos for lunch.\n35052,2020/05/16,I had dinner. I ate steak.,I had dinner. I ate steak.\n35053,2020/05/16,\"I talked to Hazel, Nora, Nevaeh for 7 minutes late in the evening.\",\"I talked to Hazel, Nora, Nevaeh for 7 minutes late in the evening.\"\n35054,2020/05/16,I talked to Hazel for 46 minutes late in the evening.,I talked to Hazel for 46 minutes late in the evening.\n35055,2020/05/16,\"I talked to Lydia, Nevaeh for 35 minutes in the late afternoon.\",\"I talked to Lydia, Nevaeh for 35 minutes in the late afternoon.\"\n35056,2020/05/16,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n35057,2020/05/16,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n35058,2020/05/17,\"I was cooking beef and broccoli, tender salsa beef on 2020/05/17 with Andrew at my place\",\"I was cooking beef and broccoli, tender salsa beef on 2020/05/17 with Andrew at my place\"\n35059,2020/05/17,\"I went grocery shopping. I bought some peaches, soda, chocolate milk, orange juice, and mouthwash\",\"I went grocery shopping. I bought some peaches, soda, chocolate milk, orange juice, and mouthwash\"\n35060,2020/05/17,I did hiking on 2020/05/17.,I did hiking on 2020/05/17.\n35061,2020/05/17,I had toast and cheese for breakfast with Jackson,I had toast and cheese for breakfast with Jackson\n35062,2020/05/17,\"I had sushi for lunch with Kayden, Emily, Carter\",\"I had sushi for lunch with Kayden, Emily, Carter\"\n35063,2020/05/17,I prepare tacos for dinner.,I prepare tacos for dinner.\n35064,2020/05/17,I talked to Nora for 15 minutes in the morning.,I talked to Nora for 15 minutes in the morning.\n35065,2020/05/17,\"I spent 47 talking to Layla, Piper, Avery, Lydia on various topics in the early afternoon.\",\"I spent 47 talking to Layla, Piper, Avery, Lydia on various topics in the early afternoon.\"\n35066,2020/05/17,\"I talked to Kinsley, Piper, Layla, Eva for 55 minutes late in the evening.\",\"I talked to Kinsley, Piper, Layla, Eva for 55 minutes late in the evening.\"\n35067,2020/05/17,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n35068,2020/05/17,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n35069,2020/05/18,I went on a date with Jack on 2020/05/18 at a park,I went on a date with Jack on 2020/05/18 at a park\n35070,2020/05/18,I did swimming on 2020/05/18.,I did swimming on 2020/05/18.\n35071,2020/05/18,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n35072,2020/05/18,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n35073,2020/05/18,\"I had dinner with Emily, Carter, Andrew. I ate tacos.\",\"I had dinner with Emily, Carter, Andrew. I ate tacos.\"\n35074,2020/05/18,\"I spent 13 talking to Kinsley, Rylee on various topics late in the evening.\",\"I spent 13 talking to Kinsley, Rylee on various topics late in the evening.\"\n35075,2020/05/18,\"I talked to Rylee, Eva for 17 minutes in the late afternoon.\",\"I talked to Rylee, Eva for 17 minutes in the late afternoon.\"\n35076,2020/05/18,I spent 27 talking to Rylee on various topics during lunch hours.,I spent 27 talking to Rylee on various topics during lunch hours.\n35077,2020/05/18,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n35078,2020/05/18,I watched news for 15 minutes on TV today.,I watched news for 15 minutes on TV today.\n35079,2020/05/19,I did HIIT on 2020/05/19.,I did HIIT on 2020/05/19.\n35080,2020/05/19,\"I had oatmeal for breakfast with Avery, Nevaeh, Kinsley, Rylee, Olivia, Claire, Hazel, Piper, Lydia\",\"I had oatmeal for breakfast with Avery, Nevaeh, Kinsley, Rylee, Olivia, Claire, Hazel, Piper, Lydia\"\n35081,2020/05/19,I ate a burger for lunch.,I ate a burger for lunch.\n35082,2020/05/19,I prepare indian food for dinner.,I prepare indian food for dinner.\n35083,2020/05/19,\"I spent 6 talking to Rylee, Piper, Avery, Claire on various topics in the early evening.\",\"I spent 6 talking to Rylee, Piper, Avery, Claire on various topics in the early evening.\"\n35084,2020/05/19,\"I spent 50 talking to Rylee, Piper on various topics during lunch hours.\",\"I spent 50 talking to Rylee, Piper on various topics during lunch hours.\"\n35085,2020/05/19,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n35086,2020/05/19,I spent 36 minutes watching a documentary on TV today.,I spent 36 minutes watching a documentary on TV today.\n35087,2020/05/20,I really enjoyed learning a language on 2020/05/20,I really enjoyed learning a language on 2020/05/20\n35088,2020/05/20,I did swimming on 2020/05/20.,I did swimming on 2020/05/20.\n35089,2020/05/20,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n35090,2020/05/20,I prepare tacos for lunch.,I prepare tacos for lunch.\n35091,2020/05/20,\"I had dinner with Piper, Hazel, Claire, Nora, Eva, Rylee, Olivia, Avery, Piper, Kinsley, Lydia. I ate sushi.\",\"I had dinner with Piper, Hazel, Claire, Nora, Eva, Rylee, Olivia, Avery, Piper, Kinsley, Lydia. I ate sushi.\"\n35092,2020/05/20,\"I talked to Claire, Lydia for 10 minutes late in the evening.\",\"I talked to Claire, Lydia for 10 minutes late in the evening.\"\n35093,2020/05/20,\"I spent 31 talking to Rylee, Lydia, Piper on various topics in the late afternoon.\",\"I spent 31 talking to Rylee, Lydia, Piper on various topics in the late afternoon.\"\n35094,2020/05/20,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n35095,2020/05/20,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n35096,2020/05/21,\"I went grocery shopping with Benjamin, Jackson, Willow, Avery. I bought some blueberries, mangos, apricots, blackberries, orange juice, coffee, and toilet paper, facial wash\",\"I went grocery shopping with Benjamin, Jackson, Willow, Avery. I bought some blueberries, mangos, apricots, blackberries, orange juice, coffee, and toilet paper, facial wash\"\n35097,2020/05/21,I did hiking on 2020/05/21.,I did hiking on 2020/05/21.\n35098,2020/05/21,\"I had oatmeal for breakfast with Avery, Benjamin, Jackson, Willow\",\"I had oatmeal for breakfast with Avery, Benjamin, Jackson, Willow\"\n35099,2020/05/21,I prepare steak for lunch.,I prepare steak for lunch.\n35100,2020/05/21,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n35101,2020/05/21,\"I spent 16 talking to Claire, Avery on various topics late in the evening.\",\"I spent 16 talking to Claire, Avery on various topics late in the evening.\"\n35102,2020/05/21,I spent 14 talking to Piper on various topics late in the evening.,I spent 14 talking to Piper on various topics late in the evening.\n35103,2020/05/21,\"I spent 49 talking to Eva, Kinsley on various topics in the late afternoon.\",\"I spent 49 talking to Eva, Kinsley on various topics in the late afternoon.\"\n35104,2020/05/21,\"I spent 38 talking to Eva, Layla, Rylee on various topics in the morning.\",\"I spent 38 talking to Eva, Layla, Rylee on various topics in the morning.\"\n35105,2020/05/21,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n35106,2020/05/21,I watched news for 13 minutes on TV today.,I watched news for 13 minutes on TV today.\n35107,2020/05/22,I did biking on 2020/05/22.,I did biking on 2020/05/22.\n35108,2020/05/22,\"I had breakfast with Piper, Kinsley, Rylee, Hazel, Nora, Olivia. I ate pancakes.\",\"I had breakfast with Piper, Kinsley, Rylee, Hazel, Nora, Olivia. I ate pancakes.\"\n35109,2020/05/22,I had lunch. I ate steak.,I had lunch. I ate steak.\n35110,2020/05/22,\"I had dinner with Emily, Andrew. I ate tacos.\",\"I had dinner with Emily, Andrew. I ate tacos.\"\n35111,2020/05/22,\"I talked to Kinsley, Nora for 30 minutes in the morning.\",\"I talked to Kinsley, Nora for 30 minutes in the morning.\"\n35112,2020/05/22,\"I talked to Olivia, Lydia, Nora for 39 minutes in the early evening.\",\"I talked to Olivia, Lydia, Nora for 39 minutes in the early evening.\"\n35113,2020/05/22,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n35114,2020/05/22,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n35115,2020/05/23,\"I went grocery shopping with Carter. I bought some watermelons, pineapples, cherres, apple juice, and body lotion, toothbrush, paper towel, mouth wash\",\"I went grocery shopping with Carter. I bought some watermelons, pineapples, cherres, apple juice, and body lotion, toothbrush, paper towel, mouth wash\"\n35116,2020/05/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n35117,2020/05/23,\"I had lunch with Kayden, Andrew, Emily. I ate tacos.\",\"I had lunch with Kayden, Andrew, Emily. I ate tacos.\"\n35118,2020/05/23,I ate chinese food for dinner.,I ate chinese food for dinner.\n35119,2020/05/23,\"I spent 27 talking to Layla, Nora on various topics during lunch hours.\",\"I spent 27 talking to Layla, Nora on various topics during lunch hours.\"\n35120,2020/05/23,\"I spent 44 talking to Eva, Nora, Claire on various topics in the late afternoon.\",\"I spent 44 talking to Eva, Nora, Claire on various topics in the late afternoon.\"\n35121,2020/05/23,I talked to Nora for 35 minutes in the morning.,I talked to Nora for 35 minutes in the morning.\n35122,2020/05/23,\"I spent 10 talking to Nevaeh, Eva on various topics in the early evening.\",\"I spent 10 talking to Nevaeh, Eva on various topics in the early evening.\"\n35123,2020/05/23,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n35124,2020/05/23,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n35125,2020/05/24,I did hiking on 2020/05/24.,I did hiking on 2020/05/24.\n35126,2020/05/24,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n35127,2020/05/24,I prepare pasta for lunch.,I prepare pasta for lunch.\n35128,2020/05/24,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n35129,2020/05/24,\"I spent 39 talking to Eva, Nora, Kinsley, Lydia on various topics in the early evening.\",\"I spent 39 talking to Eva, Nora, Kinsley, Lydia on various topics in the early evening.\"\n35130,2020/05/24,I spent 55 talking to Avery on various topics in the early afternoon.,I spent 55 talking to Avery on various topics in the early afternoon.\n35131,2020/05/24,\"I talked to Avery, Piper for 18 minutes late in the evening.\",\"I talked to Avery, Piper for 18 minutes late in the evening.\"\n35132,2020/05/24,I spent 16 talking to Lydia on various topics during lunch hours.,I spent 16 talking to Lydia on various topics during lunch hours.\n35133,2020/05/24,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n35134,2020/05/24,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n35135,2020/05/25,I did swimming on 2020/05/25.,I did swimming on 2020/05/25.\n35136,2020/05/25,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n35137,2020/05/25,I prepare indian food for lunch.,I prepare indian food for lunch.\n35138,2020/05/25,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n35139,2020/05/25,\"I talked to Eva, Kinsley for 41 minutes in the early afternoon.\",\"I talked to Eva, Kinsley for 41 minutes in the early afternoon.\"\n35140,2020/05/25,\"I spent 39 talking to Avery, Piper, Hazel on various topics during lunch hours.\",\"I spent 39 talking to Avery, Piper, Hazel on various topics during lunch hours.\"\n35141,2020/05/25,\"I talked to Lydia, Kinsley, Piper for 42 minutes during lunch hours.\",\"I talked to Lydia, Kinsley, Piper for 42 minutes during lunch hours.\"\n35142,2020/05/25,\"I spent 30 talking to Kinsley, Hazel on various topics in the morning.\",\"I spent 30 talking to Kinsley, Hazel on various topics in the morning.\"\n35143,2020/05/25,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n35144,2020/05/25,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n35145,2020/05/26,I did HIIT on 2020/05/26.,I did HIIT on 2020/05/26.\n35146,2020/05/26,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n35147,2020/05/26,\"I had steak for lunch with Carter, Andrew, Emily, Kayden\",\"I had steak for lunch with Carter, Andrew, Emily, Kayden\"\n35148,2020/05/26,I prepare pasta for dinner.,I prepare pasta for dinner.\n35149,2020/05/26,\"I talked to Nora, Piper, Hazel for 18 minutes in the early afternoon.\",\"I talked to Nora, Piper, Hazel for 18 minutes in the early afternoon.\"\n35150,2020/05/26,\"I talked to Olivia, Kinsley, Eva for 8 minutes in the late afternoon.\",\"I talked to Olivia, Kinsley, Eva for 8 minutes in the late afternoon.\"\n35151,2020/05/26,\"I talked to Nora, Eva, Layla, Olivia for 22 minutes during lunch hours.\",\"I talked to Nora, Eva, Layla, Olivia for 22 minutes during lunch hours.\"\n35152,2020/05/26,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n35153,2020/05/26,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n35154,2020/05/27,\"I went grocery shopping with Eva, Claire, Layla, Nora, Piper, Hazel, Olivia, Kinsley, Nevaeh, Lydia. I bought some apricots, blueberries, mandarins, peaches, chocolate milk, soda, and body lotion, paper towel, toothbrush, mouth wash\",\"I went grocery shopping with Eva, Claire, Layla, Nora, Piper, Hazel, Olivia, Kinsley, Nevaeh, Lydia. I bought some apricots, blueberries, mandarins, peaches, chocolate milk, soda, and body lotion, paper towel, toothbrush, mouth wash\"\n35155,2020/05/27,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n35156,2020/05/27,I prepare steak for lunch.,I prepare steak for lunch.\n35157,2020/05/27,I prepare a burger for dinner.,I prepare a burger for dinner.\n35158,2020/05/27,\"I spent 26 talking to Hazel, Piper, Claire on various topics in the early afternoon.\",\"I spent 26 talking to Hazel, Piper, Claire on various topics in the early afternoon.\"\n35159,2020/05/27,I spent 47 talking to Kinsley on various topics during lunch hours.,I spent 47 talking to Kinsley on various topics during lunch hours.\n35160,2020/05/27,\"I spent 48 talking to Claire, Rylee on various topics late in the evening.\",\"I spent 48 talking to Claire, Rylee on various topics late in the evening.\"\n35161,2020/05/27,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n35162,2020/05/27,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n35163,2020/05/28,I went on a date with Nora on 2020/05/28 at a restaurant,I went on a date with Nora on 2020/05/28 at a restaurant\n35164,2020/05/28,I did biking on 2020/05/28.,I did biking on 2020/05/28.\n35165,2020/05/28,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n35166,2020/05/28,\"I had lunch with Andrew, Emily, Carter. I ate sushi.\",\"I had lunch with Andrew, Emily, Carter. I ate sushi.\"\n35167,2020/05/28,I ate tacos for dinner.,I ate tacos for dinner.\n35168,2020/05/28,I talked to Piper for 53 minutes in the early evening.,I talked to Piper for 53 minutes in the early evening.\n35169,2020/05/28,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n35170,2020/05/28,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n35171,2020/05/29,I did weight lifting on 2020/05/29.,I did weight lifting on 2020/05/29.\n35172,2020/05/29,\"I had breakfast with Rylee, Eva, Hazel, Nevaeh, Piper, Piper, Claire, Layla, Nora. I ate toast and cheese.\",\"I had breakfast with Rylee, Eva, Hazel, Nevaeh, Piper, Piper, Claire, Layla, Nora. I ate toast and cheese.\"\n35173,2020/05/29,\"I had steak for lunch with Piper, Kinsley, Nevaeh\",\"I had steak for lunch with Piper, Kinsley, Nevaeh\"\n35174,2020/05/29,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n35175,2020/05/29,\"I talked to Piper, Avery for 17 minutes in the early afternoon.\",\"I talked to Piper, Avery for 17 minutes in the early afternoon.\"\n35176,2020/05/29,\"I spent 33 talking to Nevaeh, Avery, Olivia on various topics in the early evening.\",\"I spent 33 talking to Nevaeh, Avery, Olivia on various topics in the early evening.\"\n35177,2020/05/29,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n35178,2020/05/29,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n35179,2020/05/30,I did running on 2020/05/30.,I did running on 2020/05/30.\n35180,2020/05/30,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n35181,2020/05/30,I ate chinese food for lunch.,I ate chinese food for lunch.\n35182,2020/05/30,\"I had fish and chips for dinner with Lydia, Eva, Nevaeh, Kinsley, Olivia, Nora, Claire, Hazel, Piper, Layla, Piper, Avery\",\"I had fish and chips for dinner with Lydia, Eva, Nevaeh, Kinsley, Olivia, Nora, Claire, Hazel, Piper, Layla, Piper, Avery\"\n35183,2020/05/30,\"I talked to Kinsley, Eva, Lydia for 17 minutes in the early afternoon.\",\"I talked to Kinsley, Eva, Lydia for 17 minutes in the early afternoon.\"\n35184,2020/05/30,\"I talked to Rylee, Lydia, Eva for 49 minutes during lunch hours.\",\"I talked to Rylee, Lydia, Eva for 49 minutes during lunch hours.\"\n35185,2020/05/30,\"I spent 45 talking to Piper, Hazel, Kinsley on various topics in the late afternoon.\",\"I spent 45 talking to Piper, Hazel, Kinsley on various topics in the late afternoon.\"\n35186,2020/05/30,\"I spent 41 talking to Olivia, Hazel on various topics late in the evening.\",\"I spent 41 talking to Olivia, Hazel on various topics late in the evening.\"\n35187,2020/05/30,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n35188,2020/05/30,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n35189,2020/05/31,\"I bought some raspberries, watermelons, mineral water, milk, orange juice, body lotion, toothbrush, mouth wash, toothpaste from the grocery store. I saw Claire, Piper, Hazel, Avery, Piper, Nora, Kinsley at the grocery store.\",\"I bought some raspberries, watermelons, mineral water, milk, orange juice, body lotion, toothbrush, mouth wash, toothpaste from the grocery store. I saw Claire, Piper, Hazel, Avery, Piper, Nora, Kinsley at the grocery store.\"\n35190,2020/05/31,I did swimming on 2020/05/31.,I did swimming on 2020/05/31.\n35191,2020/05/31,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n35192,2020/05/31,\"I had pasta for lunch with Avery, Willow, Benjamin, Jackson\",\"I had pasta for lunch with Avery, Willow, Benjamin, Jackson\"\n35193,2020/05/31,I had dinner with Emily. I ate a burger.,I had dinner with Emily. I ate a burger.\n35194,2020/05/31,I spent 39 talking to Nevaeh on various topics in the early afternoon.,I spent 39 talking to Nevaeh on various topics in the early afternoon.\n35195,2020/05/31,I talked to Kinsley for 18 minutes in the morning.,I talked to Kinsley for 18 minutes in the morning.\n35196,2020/05/31,\"I talked to Lydia, Avery, Kinsley for 14 minutes in the late afternoon.\",\"I talked to Lydia, Avery, Kinsley for 14 minutes in the late afternoon.\"\n35197,2020/05/31,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n35198,2020/05/31,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n35199,2020/06/01,I really enjoyed working out on 2020/06/01,I really enjoyed working out on 2020/06/01\n35200,2020/06/01,I did swimming on 2020/06/01.,I did swimming on 2020/06/01.\n35201,2020/06/01,\"I had breakfast with Kayden, Andrew, Carter, Emily. I ate pancakes.\",\"I had breakfast with Kayden, Andrew, Carter, Emily. I ate pancakes.\"\n35202,2020/06/01,I prepare sushi for lunch.,I prepare sushi for lunch.\n35203,2020/06/01,\"I had dinner with Emily, Kayden. I ate sandwich.\",\"I had dinner with Emily, Kayden. I ate sandwich.\"\n35204,2020/06/01,\"I talked to Avery, Rylee, Nora, Hazel for 19 minutes during lunch hours.\",\"I talked to Avery, Rylee, Nora, Hazel for 19 minutes during lunch hours.\"\n35205,2020/06/01,\"I spent 52 talking to Avery, Lydia, Claire on various topics in the late afternoon.\",\"I spent 52 talking to Avery, Lydia, Claire on various topics in the late afternoon.\"\n35206,2020/06/01,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n35207,2020/06/01,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n35208,2020/06/02,\"On 2020/06/02, I took Kinsley on a date to a coffee Shop\",\"On 2020/06/02, I took Kinsley on a date to a coffee Shop\"\n35209,2020/06/02,\"I had breakfast with Andrew, Carter. I ate oatmeal.\",\"I had breakfast with Andrew, Carter. I ate oatmeal.\"\n35210,2020/06/02,I prepare sushi for lunch.,I prepare sushi for lunch.\n35211,2020/06/02,\"I had dinner with Nevaeh, Olivia, Kinsley, Rylee, Piper, Avery, Lydia, Layla, Hazel, Claire, Piper, Eva, Nora. I ate pasta.\",\"I had dinner with Nevaeh, Olivia, Kinsley, Rylee, Piper, Avery, Lydia, Layla, Hazel, Claire, Piper, Eva, Nora. I ate pasta.\"\n35212,2020/06/02,I spent 5 talking to Layla on various topics in the early afternoon.,I spent 5 talking to Layla on various topics in the early afternoon.\n35213,2020/06/02,I talked to Nora for 35 minutes during lunch hours.,I talked to Nora for 35 minutes during lunch hours.\n35214,2020/06/02,\"I spent 29 talking to Nora, Eva, Piper, Piper on various topics late in the evening.\",\"I spent 29 talking to Nora, Eva, Piper, Piper on various topics late in the evening.\"\n35215,2020/06/02,\"I spent 39 talking to Lydia, Piper, Claire, Avery on various topics in the early afternoon.\",\"I spent 39 talking to Lydia, Piper, Claire, Avery on various topics in the early afternoon.\"\n35216,2020/06/02,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n35217,2020/06/02,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n35218,2020/06/03,I did biking on 2020/06/03.,I did biking on 2020/06/03.\n35219,2020/06/03,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n35220,2020/06/03,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n35221,2020/06/03,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n35222,2020/06/03,\"I talked to Olivia, Nevaeh, Claire for 8 minutes in the early afternoon.\",\"I talked to Olivia, Nevaeh, Claire for 8 minutes in the early afternoon.\"\n35223,2020/06/03,\"I talked to Eva, Avery, Nevaeh, Lydia for 18 minutes during lunch hours.\",\"I talked to Eva, Avery, Nevaeh, Lydia for 18 minutes during lunch hours.\"\n35224,2020/06/03,\"I talked to Layla, Avery, Lydia, Rylee for 55 minutes in the morning.\",\"I talked to Layla, Avery, Lydia, Rylee for 55 minutes in the morning.\"\n35225,2020/06/03,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n35226,2020/06/03,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n35227,2020/06/04,I did hiking on 2020/06/04.,I did hiking on 2020/06/04.\n35228,2020/06/04,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n35229,2020/06/04,\"I had lunch with Eva, Hazel, Claire, Lydia. I ate tacos.\",\"I had lunch with Eva, Hazel, Claire, Lydia. I ate tacos.\"\n35230,2020/06/04,I had a burger for dinner with Nora,I had a burger for dinner with Nora\n35231,2020/06/04,\"I talked to Olivia, Nevaeh, Kinsley for 34 minutes in the early afternoon.\",\"I talked to Olivia, Nevaeh, Kinsley for 34 minutes in the early afternoon.\"\n35232,2020/06/04,\"I spent 35 talking to Nora, Piper on various topics in the early afternoon.\",\"I spent 35 talking to Nora, Piper on various topics in the early afternoon.\"\n35233,2020/06/04,I spent 8 talking to Rylee on various topics in the early evening.,I spent 8 talking to Rylee on various topics in the early evening.\n35234,2020/06/04,I spent 55 talking to Claire on various topics during lunch hours.,I spent 55 talking to Claire on various topics during lunch hours.\n35235,2020/06/04,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n35236,2020/06/04,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n35237,2020/06/05,I went on a date with Everett on 2020/06/05 at a coffee Shop,I went on a date with Everett on 2020/06/05 at a coffee Shop\n35238,2020/06/05,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n35239,2020/06/05,\"I had indian food for lunch with Olivia, Claire, Nora, Piper, Hazel, Nevaeh, Lydia, Kinsley, Piper, Eva, Layla, Rylee\",\"I had indian food for lunch with Olivia, Claire, Nora, Piper, Hazel, Nevaeh, Lydia, Kinsley, Piper, Eva, Layla, Rylee\"\n35240,2020/06/05,\"I had dinner with Eva, Lydia, Hazel. I ate a burger.\",\"I had dinner with Eva, Lydia, Hazel. I ate a burger.\"\n35241,2020/06/05,\"I talked to Nora, Hazel, Lydia, Eva for 13 minutes in the morning.\",\"I talked to Nora, Hazel, Lydia, Eva for 13 minutes in the morning.\"\n35242,2020/06/05,\"I talked to Piper, Olivia, Lydia, Avery for 17 minutes late in the evening.\",\"I talked to Piper, Olivia, Lydia, Avery for 17 minutes late in the evening.\"\n35243,2020/06/05,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n35244,2020/06/05,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n35245,2020/06/06,\"I bought some clementines, watermelons, mangos, pears, chocolate milk, toilet paper online.\",\"I bought some clementines, watermelons, mangos, pears, chocolate milk, toilet paper online.\"\n35246,2020/06/06,I did biking on 2020/06/06.,I did biking on 2020/06/06.\n35247,2020/06/06,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n35248,2020/06/06,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n35249,2020/06/06,I ate tacos for dinner.,I ate tacos for dinner.\n35250,2020/06/06,I spent 24 talking to Rylee on various topics late in the evening.,I spent 24 talking to Rylee on various topics late in the evening.\n35251,2020/06/06,I spent 41 talking to Layla on various topics in the morning.,I spent 41 talking to Layla on various topics in the morning.\n35252,2020/06/06,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n35253,2020/06/06,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n35254,2020/06/07,I went on a date with Christophe on 2020/06/07 at a coffee Shop,I went on a date with Christophe on 2020/06/07 at a coffee Shop\n35255,2020/06/07,I did running on 2020/06/07.,I did running on 2020/06/07.\n35256,2020/06/07,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n35257,2020/06/07,\"I had lunch with Carter, Andrew. I ate steak.\",\"I had lunch with Carter, Andrew. I ate steak.\"\n35258,2020/06/07,I ate a burger for dinner.,I ate a burger for dinner.\n35259,2020/06/07,\"I talked to Eva, Avery for 55 minutes in the early evening.\",\"I talked to Eva, Avery for 55 minutes in the early evening.\"\n35260,2020/06/07,\"I talked to Hazel, Piper, Nevaeh, Claire for 29 minutes in the early afternoon.\",\"I talked to Hazel, Piper, Nevaeh, Claire for 29 minutes in the early afternoon.\"\n35261,2020/06/07,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n35262,2020/06/07,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n35263,2020/06/08,I did hiking on 2020/06/08.,I did hiking on 2020/06/08.\n35264,2020/06/08,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n35265,2020/06/08,I prepare steak for lunch.,I prepare steak for lunch.\n35266,2020/06/08,I ate pasta for dinner.,I ate pasta for dinner.\n35267,2020/06/08,\"I talked to Piper, Eva for 23 minutes in the early evening.\",\"I talked to Piper, Eva for 23 minutes in the early evening.\"\n35268,2020/06/08,\"I spent 45 talking to Nevaeh, Eva, Piper on various topics in the late afternoon.\",\"I spent 45 talking to Nevaeh, Eva, Piper on various topics in the late afternoon.\"\n35269,2020/06/08,\"I spent 27 talking to Hazel, Olivia, Nevaeh on various topics in the early afternoon.\",\"I spent 27 talking to Hazel, Olivia, Nevaeh on various topics in the early afternoon.\"\n35270,2020/06/08,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n35271,2020/06/08,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n35272,2020/06/09,I did biking on 2020/06/09.,I did biking on 2020/06/09.\n35273,2020/06/09,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n35274,2020/06/09,I had steak for lunch with Andrew,I had steak for lunch with Andrew\n35275,2020/06/09,I had dinner. I ate steak.,I had dinner. I ate steak.\n35276,2020/06/09,\"I spent 46 talking to Hazel, Lydia, Kinsley, Eva on various topics late in the evening.\",\"I spent 46 talking to Hazel, Lydia, Kinsley, Eva on various topics late in the evening.\"\n35277,2020/06/09,\"I talked to Olivia, Hazel, Layla for 5 minutes in the early afternoon.\",\"I talked to Olivia, Hazel, Layla for 5 minutes in the early afternoon.\"\n35278,2020/06/09,\"I spent 48 talking to Kinsley, Piper, Layla on various topics during lunch hours.\",\"I spent 48 talking to Kinsley, Piper, Layla on various topics during lunch hours.\"\n35279,2020/06/09,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n35280,2020/06/09,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n35281,2020/06/10,I did running on 2020/06/10.,I did running on 2020/06/10.\n35282,2020/06/10,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n35283,2020/06/10,I had lunch with Benjamin. I ate indian food.,I had lunch with Benjamin. I ate indian food.\n35284,2020/06/10,I prepare tacos for dinner.,I prepare tacos for dinner.\n35285,2020/06/10,\"I talked to Eva, Nevaeh, Avery for 41 minutes during lunch hours.\",\"I talked to Eva, Nevaeh, Avery for 41 minutes during lunch hours.\"\n35286,2020/06/10,I talked to Lydia for 26 minutes in the early afternoon.,I talked to Lydia for 26 minutes in the early afternoon.\n35287,2020/06/10,I talked to Eva for 55 minutes in the early afternoon.,I talked to Eva for 55 minutes in the early afternoon.\n35288,2020/06/10,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n35289,2020/06/10,I spent 47 minutes watching a movie on TV today.,I spent 47 minutes watching a movie on TV today.\n35290,2020/06/11,I did HIIT on 2020/06/11.,I did HIIT on 2020/06/11.\n35291,2020/06/11,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n35292,2020/06/11,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n35293,2020/06/11,I ate indian food for dinner.,I ate indian food for dinner.\n35294,2020/06/11,\"I talked to Piper, Kinsley, Olivia, Rylee for 27 minutes during lunch hours.\",\"I talked to Piper, Kinsley, Olivia, Rylee for 27 minutes during lunch hours.\"\n35295,2020/06/11,\"I spent 44 talking to Olivia, Kinsley on various topics in the morning.\",\"I spent 44 talking to Olivia, Kinsley on various topics in the morning.\"\n35296,2020/06/11,\"I spent 37 talking to Layla, Olivia, Piper on various topics during lunch hours.\",\"I spent 37 talking to Layla, Olivia, Piper on various topics during lunch hours.\"\n35297,2020/06/11,\"I spent 16 talking to Layla, Rylee on various topics in the early evening.\",\"I spent 16 talking to Layla, Rylee on various topics in the early evening.\"\n35298,2020/06/11,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n35299,2020/06/11,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n35300,2020/06/12,I did running on 2020/06/12.,I did running on 2020/06/12.\n35301,2020/06/12,\"I had eggs, sausages, and bread for breakfast with Benjamin, Jackson, Avery\",\"I had eggs, sausages, and bread for breakfast with Benjamin, Jackson, Avery\"\n35302,2020/06/12,\"I had sushi for lunch with Andrew, Kayden, Carter\",\"I had sushi for lunch with Andrew, Kayden, Carter\"\n35303,2020/06/12,\"I had dinner with Emily, Kayden, Andrew. I ate sushi.\",\"I had dinner with Emily, Kayden, Andrew. I ate sushi.\"\n35304,2020/06/12,\"I talked to Nora, Hazel, Lydia, Layla for 7 minutes late in the evening.\",\"I talked to Nora, Hazel, Lydia, Layla for 7 minutes late in the evening.\"\n35305,2020/06/12,\"I spent 6 talking to Claire, Lydia, Piper on various topics in the morning.\",\"I spent 6 talking to Claire, Lydia, Piper on various topics in the morning.\"\n35306,2020/06/12,I spent 19 talking to Claire on various topics in the early afternoon.,I spent 19 talking to Claire on various topics in the early afternoon.\n35307,2020/06/12,\"I talked to Rylee, Piper, Layla, Avery for 11 minutes in the early afternoon.\",\"I talked to Rylee, Piper, Layla, Avery for 11 minutes in the early afternoon.\"\n35308,2020/06/12,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n35309,2020/06/12,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n35310,2020/06/13,I did hiking on 2020/06/13.,I did hiking on 2020/06/13.\n35311,2020/06/13,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n35312,2020/06/13,I ate tacos for lunch.,I ate tacos for lunch.\n35313,2020/06/13,I had dinner with Avery. I ate sandwich.,I had dinner with Avery. I ate sandwich.\n35314,2020/06/13,\"I talked to Eva, Claire, Nevaeh, Layla for 28 minutes in the early evening.\",\"I talked to Eva, Claire, Nevaeh, Layla for 28 minutes in the early evening.\"\n35315,2020/06/13,\"I spent 10 talking to Olivia, Lydia on various topics late in the evening.\",\"I spent 10 talking to Olivia, Lydia on various topics late in the evening.\"\n35316,2020/06/13,\"I spent 9 talking to Hazel, Layla on various topics in the early afternoon.\",\"I spent 9 talking to Hazel, Layla on various topics in the early afternoon.\"\n35317,2020/06/13,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n35318,2020/06/13,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n35319,2020/06/14,\"I went grocery shopping with Carter, Kayden. I bought some mandarins, oranges, apricots, apples, mango juice, coffee, soda, sports drinks, and body lotion, facial wash, shaving cream, mouth wash\",\"I went grocery shopping with Carter, Kayden. I bought some mandarins, oranges, apricots, apples, mango juice, coffee, soda, sports drinks, and body lotion, facial wash, shaving cream, mouth wash\"\n35320,2020/06/14,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n35321,2020/06/14,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n35322,2020/06/14,\"I had dinner with Willow, Benjamin. I ate sandwich.\",\"I had dinner with Willow, Benjamin. I ate sandwich.\"\n35323,2020/06/14,I talked to Hazel for 37 minutes in the early afternoon.,I talked to Hazel for 37 minutes in the early afternoon.\n35324,2020/06/14,\"I spent 34 talking to Piper, Lydia on various topics in the early evening.\",\"I spent 34 talking to Piper, Lydia on various topics in the early evening.\"\n35325,2020/06/14,I talked to Eva for 13 minutes in the morning.,I talked to Eva for 13 minutes in the morning.\n35326,2020/06/14,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n35327,2020/06/14,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n35328,2020/06/15,I did HIIT on 2020/06/15.,I did HIIT on 2020/06/15.\n35329,2020/06/15,I had breakfast with Willow. I ate oatmeal.,I had breakfast with Willow. I ate oatmeal.\n35330,2020/06/15,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n35331,2020/06/15,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n35332,2020/06/15,\"I talked to Layla, Nevaeh, Kinsley for 30 minutes in the morning.\",\"I talked to Layla, Nevaeh, Kinsley for 30 minutes in the morning.\"\n35333,2020/06/15,I spent 42 talking to Rylee on various topics during lunch hours.,I spent 42 talking to Rylee on various topics during lunch hours.\n35334,2020/06/15,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n35335,2020/06/15,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n35336,2020/06/16,\"I was cooking traditional meat loaf on 2020/06/16 with Avery, Claire at my place\",\"I was cooking traditional meat loaf on 2020/06/16 with Avery, Claire at my place\"\n35337,2020/06/16,\"On 2020/06/16, I took Roman on a date to a coffee Shop\",\"On 2020/06/16, I took Roman on a date to a coffee Shop\"\n35338,2020/06/16,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n35339,2020/06/16,\"I had pasta for lunch with Avery, Jackson, Benjamin, Willow\",\"I had pasta for lunch with Avery, Jackson, Benjamin, Willow\"\n35340,2020/06/16,I prepare tacos for dinner.,I prepare tacos for dinner.\n35341,2020/06/16,\"I talked to Kinsley, Olivia, Claire, Lydia for 28 minutes in the late afternoon.\",\"I talked to Kinsley, Olivia, Claire, Lydia for 28 minutes in the late afternoon.\"\n35342,2020/06/16,\"I talked to Nora, Avery, Hazel, Kinsley for 16 minutes in the morning.\",\"I talked to Nora, Avery, Hazel, Kinsley for 16 minutes in the morning.\"\n35343,2020/06/16,\"I talked to Claire, Hazel, Layla for 9 minutes during lunch hours.\",\"I talked to Claire, Hazel, Layla for 9 minutes during lunch hours.\"\n35344,2020/06/16,\"I spent 17 talking to Lydia, Piper on various topics during lunch hours.\",\"I spent 17 talking to Lydia, Piper on various topics during lunch hours.\"\n35345,2020/06/16,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n35346,2020/06/16,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n35347,2020/06/17,I went on a date with Sadie on 2020/06/17 at a coffee Shop,I went on a date with Sadie on 2020/06/17 at a coffee Shop\n35348,2020/06/17,I did weight lifting on 2020/06/17.,I did weight lifting on 2020/06/17.\n35349,2020/06/17,I had breakfast with Kayden. I ate peanut-butter-jam.,I had breakfast with Kayden. I ate peanut-butter-jam.\n35350,2020/06/17,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n35351,2020/06/17,I ate sushi for dinner.,I ate sushi for dinner.\n35352,2020/06/17,\"I talked to Hazel, Eva, Claire, Piper for 42 minutes during lunch hours.\",\"I talked to Hazel, Eva, Claire, Piper for 42 minutes during lunch hours.\"\n35353,2020/06/17,I spent 22 talking to Rylee on various topics in the early afternoon.,I spent 22 talking to Rylee on various topics in the early afternoon.\n35354,2020/06/17,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n35355,2020/06/17,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n35356,2020/06/18,I did swimming on 2020/06/18.,I did swimming on 2020/06/18.\n35357,2020/06/18,\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate peanut-butter-jam.\"\n35358,2020/06/18,\"I had lunch with Layla, Olivia, Kinsley, Eva, Piper, Piper. I ate pasta.\",\"I had lunch with Layla, Olivia, Kinsley, Eva, Piper, Piper. I ate pasta.\"\n35359,2020/06/18,\"I had dinner with Hazel, Piper, Nevaeh, Kinsley, Olivia, Eva, Nora, Layla, Avery, Lydia, Claire, Rylee. I ate sushi.\",\"I had dinner with Hazel, Piper, Nevaeh, Kinsley, Olivia, Eva, Nora, Layla, Avery, Lydia, Claire, Rylee. I ate sushi.\"\n35360,2020/06/18,\"I talked to Layla, Piper, Nevaeh, Piper for 42 minutes in the early evening.\",\"I talked to Layla, Piper, Nevaeh, Piper for 42 minutes in the early evening.\"\n35361,2020/06/18,\"I talked to Layla, Rylee, Hazel for 21 minutes late in the evening.\",\"I talked to Layla, Rylee, Hazel for 21 minutes late in the evening.\"\n35362,2020/06/18,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n35363,2020/06/18,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n35364,2020/06/19,I did weight lifting on 2020/06/19.,I did weight lifting on 2020/06/19.\n35365,2020/06/19,\"I had eggs, sausages, and bread for breakfast with Nevaeh\",\"I had eggs, sausages, and bread for breakfast with Nevaeh\"\n35366,2020/06/19,\"I had fish and chips for lunch with Kayden, Andrew, Carter, Emily\",\"I had fish and chips for lunch with Kayden, Andrew, Carter, Emily\"\n35367,2020/06/19,\"I had chinese food for dinner with Carter, Andrew, Emily, Kayden\",\"I had chinese food for dinner with Carter, Andrew, Emily, Kayden\"\n35368,2020/06/19,I talked to Rylee for 15 minutes late in the evening.,I talked to Rylee for 15 minutes late in the evening.\n35369,2020/06/19,I spent 46 talking to Avery on various topics in the early afternoon.,I spent 46 talking to Avery on various topics in the early afternoon.\n35370,2020/06/19,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n35371,2020/06/19,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n35372,2020/06/20,\"I bought some mangos, clementines, bananas, raspberries, mineral water, guava juice, pineapple juice, mouth wash, toothbrush from the grocery store. I saw Jackson, Benjamin at the grocery store.\",\"I bought some mangos, clementines, bananas, raspberries, mineral water, guava juice, pineapple juice, mouth wash, toothbrush from the grocery store. I saw Jackson, Benjamin at the grocery store.\"\n35373,2020/06/20,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n35374,2020/06/20,I had lunch with Carter. I ate sushi.,I had lunch with Carter. I ate sushi.\n35375,2020/06/20,\"I had steak for dinner with Andrew, Emily, Kayden, Carter\",\"I had steak for dinner with Andrew, Emily, Kayden, Carter\"\n35376,2020/06/20,\"I talked to Layla, Nora, Nevaeh, Piper for 20 minutes in the early evening.\",\"I talked to Layla, Nora, Nevaeh, Piper for 20 minutes in the early evening.\"\n35377,2020/06/20,\"I spent 22 talking to Olivia, Nora, Hazel on various topics in the early afternoon.\",\"I spent 22 talking to Olivia, Nora, Hazel on various topics in the early afternoon.\"\n35378,2020/06/20,\"I spent 17 talking to Claire, Rylee on various topics late in the evening.\",\"I spent 17 talking to Claire, Rylee on various topics late in the evening.\"\n35379,2020/06/20,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n35380,2020/06/20,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n35381,2020/06/21,Kayden for his/her  and I went for an annual dental cleaning and checkup at the private clinic on 2020/06/21.,Kayden for his/her  and I went for an annual dental cleaning and checkup at the private clinic on 2020/06/21.\n35382,2020/06/21,\"I entertained Jackson, Benjamin, Avery at my place on 2020/06/21 and cook vietnamese coffee\",\"I entertained Jackson, Benjamin, Avery at my place on 2020/06/21 and cook vietnamese coffee\"\n35383,2020/06/21,I did hiking on 2020/06/21.,I did hiking on 2020/06/21.\n35384,2020/06/21,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n35385,2020/06/21,\"I had lunch with Hazel, Lydia, Claire, Nora. I ate a burger.\",\"I had lunch with Hazel, Lydia, Claire, Nora. I ate a burger.\"\n35386,2020/06/21,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n35387,2020/06/21,I spent 10 talking to Lydia on various topics during lunch hours.,I spent 10 talking to Lydia on various topics during lunch hours.\n35388,2020/06/21,I spent 33 talking to Kinsley on various topics late in the evening.,I spent 33 talking to Kinsley on various topics late in the evening.\n35389,2020/06/21,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n35390,2020/06/21,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n35391,2020/06/22,I spent some time working out on 2020/06/22.,I spent some time working out on 2020/06/22.\n35392,2020/06/22,I did HIIT on 2020/06/22.,I did HIIT on 2020/06/22.\n35393,2020/06/22,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n35394,2020/06/22,I ate a burger for lunch.,I ate a burger for lunch.\n35395,2020/06/22,I ate chinese food for dinner.,I ate chinese food for dinner.\n35396,2020/06/22,\"I spent 19 talking to Rylee, Piper, Eva, Hazel on various topics during lunch hours.\",\"I spent 19 talking to Rylee, Piper, Eva, Hazel on various topics during lunch hours.\"\n35397,2020/06/22,\"I talked to Layla, Piper for 21 minutes in the early afternoon.\",\"I talked to Layla, Piper for 21 minutes in the early afternoon.\"\n35398,2020/06/22,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n35399,2020/06/22,I spent 15 minutes watching a documentary on TV today.,I spent 15 minutes watching a documentary on TV today.\n35400,2020/06/23,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n35401,2020/06/23,\"I had indian food for lunch with Olivia, Kinsley, Piper, Layla, Avery, Eva, Hazel, Claire\",\"I had indian food for lunch with Olivia, Kinsley, Piper, Layla, Avery, Eva, Hazel, Claire\"\n35402,2020/06/23,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n35403,2020/06/23,I spent 20 talking to Layla on various topics in the late afternoon.,I spent 20 talking to Layla on various topics in the late afternoon.\n35404,2020/06/23,\"I talked to Rylee, Olivia, Layla for 47 minutes late in the evening.\",\"I talked to Rylee, Olivia, Layla for 47 minutes late in the evening.\"\n35405,2020/06/23,\"I talked to Eva, Piper, Olivia, Nevaeh for 15 minutes in the morning.\",\"I talked to Eva, Piper, Olivia, Nevaeh for 15 minutes in the morning.\"\n35406,2020/06/23,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n35407,2020/06/23,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n35408,2020/06/24,\"On 2020/06/24, I took Aria on a date to a coffee Shop\",\"On 2020/06/24, I took Aria on a date to a coffee Shop\"\n35409,2020/06/24,\"I spent time working out on 2020/06/24 with Kayden, Andrew, Carter.\",\"I spent time working out on 2020/06/24 with Kayden, Andrew, Carter.\"\n35410,2020/06/24,I did HIIT on 2020/06/24.,I did HIIT on 2020/06/24.\n35411,2020/06/24,I had breakfast with Benjamin. I ate peanut-butter-jam.,I had breakfast with Benjamin. I ate peanut-butter-jam.\n35412,2020/06/24,I ate indian food for lunch.,I ate indian food for lunch.\n35413,2020/06/24,\"I had fish and chips for dinner with Emily, Andrew\",\"I had fish and chips for dinner with Emily, Andrew\"\n35414,2020/06/24,I talked to Nora for 25 minutes during lunch hours.,I talked to Nora for 25 minutes during lunch hours.\n35415,2020/06/24,I spent 20 talking to Nora on various topics in the morning.,I spent 20 talking to Nora on various topics in the morning.\n35416,2020/06/24,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n35417,2020/06/24,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n35418,2020/06/25,\"I entertained Kayden, Emily, Andrew, Carter at my place on 2020/06/25 and cook favorite chicken potpie\",\"I entertained Kayden, Emily, Andrew, Carter at my place on 2020/06/25 and cook favorite chicken potpie\"\n35419,2020/06/25,I did swimming on 2020/06/25.,I did swimming on 2020/06/25.\n35420,2020/06/25,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n35421,2020/06/25,I had steak for lunch with Andrew,I had steak for lunch with Andrew\n35422,2020/06/25,\"I had dinner with Benjamin, Willow. I ate fish and chips.\",\"I had dinner with Benjamin, Willow. I ate fish and chips.\"\n35423,2020/06/25,\"I spent 51 talking to Olivia, Hazel, Kinsley on various topics late in the evening.\",\"I spent 51 talking to Olivia, Hazel, Kinsley on various topics late in the evening.\"\n35424,2020/06/25,I talked to Eva for 41 minutes during lunch hours.,I talked to Eva for 41 minutes during lunch hours.\n35425,2020/06/25,\"I spent 29 talking to Avery, Rylee, Piper, Claire on various topics in the morning.\",\"I spent 29 talking to Avery, Rylee, Piper, Claire on various topics in the morning.\"\n35426,2020/06/25,I spent 17 talking to Piper on various topics in the early afternoon.,I spent 17 talking to Piper on various topics in the early afternoon.\n35427,2020/06/25,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n35428,2020/06/25,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n35429,2020/06/26,I did biking on 2020/06/26.,I did biking on 2020/06/26.\n35430,2020/06/26,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n35431,2020/06/26,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n35432,2020/06/26,I prepare a burger for dinner.,I prepare a burger for dinner.\n35433,2020/06/26,\"I spent 25 talking to Avery, Olivia, Lydia on various topics in the early afternoon.\",\"I spent 25 talking to Avery, Olivia, Lydia on various topics in the early afternoon.\"\n35434,2020/06/26,\"I spent 26 talking to Kinsley, Layla on various topics in the early evening.\",\"I spent 26 talking to Kinsley, Layla on various topics in the early evening.\"\n35435,2020/06/26,\"I talked to Lydia, Nevaeh, Eva for 33 minutes in the morning.\",\"I talked to Lydia, Nevaeh, Eva for 33 minutes in the morning.\"\n35436,2020/06/26,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n35437,2020/06/26,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n35438,2020/06/27,I went on a date with David on 2020/06/27 at a coffee Shop,I went on a date with David on 2020/06/27 at a coffee Shop\n35439,2020/06/27,I spent some time meditation on 2020/06/27.,I spent some time meditation on 2020/06/27.\n35440,2020/06/27,\"I bought some nectarines, raspberries, guava, watermelons, mango juice, guava juice, body lotion, shaving cream, toothpaste, paper towel from the grocery store. I saw Emily, Carter, Andrew at the grocery store.\",\"I bought some nectarines, raspberries, guava, watermelons, mango juice, guava juice, body lotion, shaving cream, toothpaste, paper towel from the grocery store. I saw Emily, Carter, Andrew at the grocery store.\"\n35441,2020/06/27,I did hiking on 2020/06/27.,I did hiking on 2020/06/27.\n35442,2020/06/27,\"I had eggs, sausages, and bread for breakfast with Claire, Olivia, Piper, Piper, Eva, Avery, Layla, Lydia, Kinsley, Rylee, Hazel, Nora\",\"I had eggs, sausages, and bread for breakfast with Claire, Olivia, Piper, Piper, Eva, Avery, Layla, Lydia, Kinsley, Rylee, Hazel, Nora\"\n35443,2020/06/27,\"I had lunch with Benjamin, Avery, Willow. I ate steak.\",\"I had lunch with Benjamin, Avery, Willow. I ate steak.\"\n35444,2020/06/27,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n35445,2020/06/27,\"I spent 48 talking to Claire, Layla on various topics in the late afternoon.\",\"I spent 48 talking to Claire, Layla on various topics in the late afternoon.\"\n35446,2020/06/27,\"I talked to Olivia, Claire, Lydia, Rylee for 34 minutes in the early afternoon.\",\"I talked to Olivia, Claire, Lydia, Rylee for 34 minutes in the early afternoon.\"\n35447,2020/06/27,\"I spent 49 talking to Rylee, Nevaeh on various topics in the morning.\",\"I spent 49 talking to Rylee, Nevaeh on various topics in the morning.\"\n35448,2020/06/27,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n35449,2020/06/27,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n35450,2020/06/28,I did running on 2020/06/28.,I did running on 2020/06/28.\n35451,2020/06/28,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n35452,2020/06/28,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n35453,2020/06/28,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n35454,2020/06/28,\"I talked to Rylee, Lydia, Hazel for 9 minutes in the early afternoon.\",\"I talked to Rylee, Lydia, Hazel for 9 minutes in the early afternoon.\"\n35455,2020/06/28,\"I talked to Nora, Lydia for 17 minutes in the early afternoon.\",\"I talked to Nora, Lydia for 17 minutes in the early afternoon.\"\n35456,2020/06/28,\"I spent 8 talking to Eva, Nora, Hazel, Lydia on various topics during lunch hours.\",\"I spent 8 talking to Eva, Nora, Hazel, Lydia on various topics during lunch hours.\"\n35457,2020/06/28,\"I spent 24 talking to Lydia, Piper, Avery, Nevaeh on various topics late in the evening.\",\"I spent 24 talking to Lydia, Piper, Avery, Nevaeh on various topics late in the evening.\"\n35458,2020/06/28,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n35459,2020/06/28,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n35460,2020/06/29,I did swimming on 2020/06/29.,I did swimming on 2020/06/29.\n35461,2020/06/29,\"I had breakfast with Emily, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Carter. I ate eggs, sausages, and bread.\"\n35462,2020/06/29,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n35463,2020/06/29,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n35464,2020/06/29,\"I spent 51 talking to Nevaeh, Eva, Claire, Avery on various topics in the early afternoon.\",\"I spent 51 talking to Nevaeh, Eva, Claire, Avery on various topics in the early afternoon.\"\n35465,2020/06/29,I talked to Nora for 8 minutes during lunch hours.,I talked to Nora for 8 minutes during lunch hours.\n35466,2020/06/29,\"I talked to Piper, Olivia for 47 minutes late in the evening.\",\"I talked to Piper, Olivia for 47 minutes late in the evening.\"\n35467,2020/06/29,\"I talked to Eva, Avery, Layla, Piper for 38 minutes during lunch hours.\",\"I talked to Eva, Avery, Layla, Piper for 38 minutes during lunch hours.\"\n35468,2020/06/29,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n35469,2020/06/29,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n35470,2020/06/30,I did hiking on 2020/06/30.,I did hiking on 2020/06/30.\n35471,2020/06/30,\"I had breakfast with Andrew, Kayden, Carter. I ate oatmeal.\",\"I had breakfast with Andrew, Kayden, Carter. I ate oatmeal.\"\n35472,2020/06/30,I prepare a burger for lunch.,I prepare a burger for lunch.\n35473,2020/06/30,I prepare tacos for dinner.,I prepare tacos for dinner.\n35474,2020/06/30,\"I spent 11 talking to Nora, Kinsley, Eva, Nevaeh on various topics in the morning.\",\"I spent 11 talking to Nora, Kinsley, Eva, Nevaeh on various topics in the morning.\"\n35475,2020/06/30,\"I talked to Nevaeh, Nora, Piper for 35 minutes in the morning.\",\"I talked to Nevaeh, Nora, Piper for 35 minutes in the morning.\"\n35476,2020/06/30,\"I spent 45 talking to Claire, Kinsley on various topics late in the evening.\",\"I spent 45 talking to Claire, Kinsley on various topics late in the evening.\"\n35477,2020/06/30,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n35478,2020/06/30,I spent 31 minutes watching a tv series on TV today.,I spent 31 minutes watching a tv series on TV today.\n35479,2020/07/01,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n35480,2020/07/01,I prepare pasta for lunch.,I prepare pasta for lunch.\n35481,2020/07/01,I prepare a burger for dinner.,I prepare a burger for dinner.\n35482,2020/07/01,\"I spent 54 talking to Claire, Rylee, Avery on various topics in the early afternoon.\",\"I spent 54 talking to Claire, Rylee, Avery on various topics in the early afternoon.\"\n35483,2020/07/01,I talked to Olivia for 26 minutes in the early afternoon.,I talked to Olivia for 26 minutes in the early afternoon.\n35484,2020/07/01,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n35485,2020/07/01,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n35486,2020/07/02,I went on a date with Richard on 2020/07/02 at a coffee Shop,I went on a date with Richard on 2020/07/02 at a coffee Shop\n35487,2020/07/02,I did weight lifting on 2020/07/02.,I did weight lifting on 2020/07/02.\n35488,2020/07/02,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n35489,2020/07/02,\"I had lunch with Piper, Avery, Layla, Nora, Kinsley, Rylee, Eva, Claire, Hazel. I ate a burger.\",\"I had lunch with Piper, Avery, Layla, Nora, Kinsley, Rylee, Eva, Claire, Hazel. I ate a burger.\"\n35490,2020/07/02,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n35491,2020/07/02,\"I talked to Claire, Avery, Layla, Hazel for 23 minutes in the late afternoon.\",\"I talked to Claire, Avery, Layla, Hazel for 23 minutes in the late afternoon.\"\n35492,2020/07/02,\"I talked to Kinsley, Avery for 11 minutes in the morning.\",\"I talked to Kinsley, Avery for 11 minutes in the morning.\"\n35493,2020/07/02,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n35494,2020/07/02,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n35495,2020/07/03,\"I went grocery shopping. I bought some pears, nectarines, blueberries, strawberries, orange juice, coffee, sports drinks, and paper towel, toothpaste\",\"I went grocery shopping. I bought some pears, nectarines, blueberries, strawberries, orange juice, coffee, sports drinks, and paper towel, toothpaste\"\n35496,2020/07/03,I did hiking on 2020/07/03.,I did hiking on 2020/07/03.\n35497,2020/07/03,\"I had peanut-butter-jam for breakfast with Kayden, Carter\",\"I had peanut-butter-jam for breakfast with Kayden, Carter\"\n35498,2020/07/03,I ate chinese food for lunch.,I ate chinese food for lunch.\n35499,2020/07/03,I had dinner with Carter. I ate sushi.,I had dinner with Carter. I ate sushi.\n35500,2020/07/03,\"I spent 23 talking to Claire, Lydia, Hazel on various topics in the late afternoon.\",\"I spent 23 talking to Claire, Lydia, Hazel on various topics in the late afternoon.\"\n35501,2020/07/03,\"I spent 40 talking to Nora, Olivia, Piper on various topics during lunch hours.\",\"I spent 40 talking to Nora, Olivia, Piper on various topics during lunch hours.\"\n35502,2020/07/03,I spent 32 talking to Layla on various topics during lunch hours.,I spent 32 talking to Layla on various topics during lunch hours.\n35503,2020/07/03,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n35504,2020/07/03,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n35505,2020/07/04,I went for an annual physical checkup on 2020/07/04 at the hospital.,I went for an annual physical checkup on 2020/07/04 at the hospital.\n35506,2020/07/04,\"I had peanut-butter-jam for breakfast with Kayden, Andrew\",\"I had peanut-butter-jam for breakfast with Kayden, Andrew\"\n35507,2020/07/04,\"I had sandwich for lunch with Kayden, Carter, Andrew\",\"I had sandwich for lunch with Kayden, Carter, Andrew\"\n35508,2020/07/04,I ate tacos for dinner.,I ate tacos for dinner.\n35509,2020/07/04,\"I talked to Piper, Eva, Hazel for 6 minutes in the morning.\",\"I talked to Piper, Eva, Hazel for 6 minutes in the morning.\"\n35510,2020/07/04,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n35511,2020/07/04,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n35512,2020/07/05,I did HIIT on 2020/07/05.,I did HIIT on 2020/07/05.\n35513,2020/07/05,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n35514,2020/07/05,I ate sandwich for lunch.,I ate sandwich for lunch.\n35515,2020/07/05,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n35516,2020/07/05,\"I talked to Hazel, Kinsley, Piper for 11 minutes during lunch hours.\",\"I talked to Hazel, Kinsley, Piper for 11 minutes during lunch hours.\"\n35517,2020/07/05,I talked to Rylee for 15 minutes in the morning.,I talked to Rylee for 15 minutes in the morning.\n35518,2020/07/05,\"I talked to Hazel, Eva, Piper, Layla for 5 minutes in the late afternoon.\",\"I talked to Hazel, Eva, Piper, Layla for 5 minutes in the late afternoon.\"\n35519,2020/07/05,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n35520,2020/07/05,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n35521,2020/07/06,\"I bought some bananas, guava, peaches, mineral water, mouth wash, body lotion, mouthwash from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\",\"I bought some bananas, guava, peaches, mineral water, mouth wash, body lotion, mouthwash from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\"\n35522,2020/07/06,I did swimming on 2020/07/06.,I did swimming on 2020/07/06.\n35523,2020/07/06,I had cereals for breakfast with Willow,I had cereals for breakfast with Willow\n35524,2020/07/06,I ate chinese food for lunch.,I ate chinese food for lunch.\n35525,2020/07/06,I prepare pasta for dinner.,I prepare pasta for dinner.\n35526,2020/07/06,\"I talked to Nevaeh, Hazel, Lydia for 45 minutes in the morning.\",\"I talked to Nevaeh, Hazel, Lydia for 45 minutes in the morning.\"\n35527,2020/07/06,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n35528,2020/07/06,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n35529,2020/07/07,I really enjoyed working out on 2020/07/07,I really enjoyed working out on 2020/07/07\n35530,2020/07/07,I did running on 2020/07/07.,I did running on 2020/07/07.\n35531,2020/07/07,I ate cereals for breakfast.,I ate cereals for breakfast.\n35532,2020/07/07,I ate chinese food for lunch.,I ate chinese food for lunch.\n35533,2020/07/07,\"I had a burger for dinner with Emily, Kayden, Carter\",\"I had a burger for dinner with Emily, Kayden, Carter\"\n35534,2020/07/07,I spent 20 talking to Eva on various topics during lunch hours.,I spent 20 talking to Eva on various topics during lunch hours.\n35535,2020/07/07,\"I spent 7 talking to Eva, Avery on various topics in the early afternoon.\",\"I spent 7 talking to Eva, Avery on various topics in the early afternoon.\"\n35536,2020/07/07,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n35537,2020/07/07,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n35538,2020/07/08,I spent some time working out on 2020/07/08.,I spent some time working out on 2020/07/08.\n35539,2020/07/08,I did HIIT on 2020/07/08.,I did HIIT on 2020/07/08.\n35540,2020/07/08,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n35541,2020/07/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n35542,2020/07/08,I prepare indian food for dinner.,I prepare indian food for dinner.\n35543,2020/07/08,I talked to Rylee for 13 minutes in the early afternoon.,I talked to Rylee for 13 minutes in the early afternoon.\n35544,2020/07/08,I talked to Olivia for 55 minutes in the morning.,I talked to Olivia for 55 minutes in the morning.\n35545,2020/07/08,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n35546,2020/07/08,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n35547,2020/07/09,I went on a date with Amelia on 2020/07/09 at a coffee Shop,I went on a date with Amelia on 2020/07/09 at a coffee Shop\n35548,2020/07/09,I did swimming on 2020/07/09.,I did swimming on 2020/07/09.\n35549,2020/07/09,I ate cereals for breakfast.,I ate cereals for breakfast.\n35550,2020/07/09,\"I had sushi for lunch with Layla, Lydia, Claire, Eva, Nora, Nevaeh, Avery, Kinsley, Olivia, Rylee, Piper\",\"I had sushi for lunch with Layla, Lydia, Claire, Eva, Nora, Nevaeh, Avery, Kinsley, Olivia, Rylee, Piper\"\n35551,2020/07/09,\"I had pasta for dinner with Lydia, Piper, Avery, Nora, Layla, Eva, Nevaeh, Hazel, Rylee, Kinsley, Olivia, Claire\",\"I had pasta for dinner with Lydia, Piper, Avery, Nora, Layla, Eva, Nevaeh, Hazel, Rylee, Kinsley, Olivia, Claire\"\n35552,2020/07/09,\"I talked to Kinsley, Claire for 5 minutes in the early evening.\",\"I talked to Kinsley, Claire for 5 minutes in the early evening.\"\n35553,2020/07/09,\"I spent 53 talking to Eva, Nevaeh on various topics in the late afternoon.\",\"I spent 53 talking to Eva, Nevaeh on various topics in the late afternoon.\"\n35554,2020/07/09,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n35555,2020/07/09,I watched news for 52 minutes on TV today.,I watched news for 52 minutes on TV today.\n35556,2020/07/10,I did running on 2020/07/10.,I did running on 2020/07/10.\n35557,2020/07/10,\"I had breakfast with Emily, Kayden. I ate cereals.\",\"I had breakfast with Emily, Kayden. I ate cereals.\"\n35558,2020/07/10,\"I had lunch with Andrew, Carter, Emily, Kayden. I ate sushi.\",\"I had lunch with Andrew, Carter, Emily, Kayden. I ate sushi.\"\n35559,2020/07/10,\"I had dinner with Willow, Jackson. I ate sushi.\",\"I had dinner with Willow, Jackson. I ate sushi.\"\n35560,2020/07/10,I spent 21 talking to Nora on various topics in the early evening.,I spent 21 talking to Nora on various topics in the early evening.\n35561,2020/07/10,I spent 50 talking to Rylee on various topics in the early evening.,I spent 50 talking to Rylee on various topics in the early evening.\n35562,2020/07/10,\"I talked to Rylee, Piper, Nevaeh for 32 minutes in the early evening.\",\"I talked to Rylee, Piper, Nevaeh for 32 minutes in the early evening.\"\n35563,2020/07/10,\"I spent 54 talking to Nevaeh, Eva, Kinsley, Lydia on various topics late in the evening.\",\"I spent 54 talking to Nevaeh, Eva, Kinsley, Lydia on various topics late in the evening.\"\n35564,2020/07/10,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n35565,2020/07/10,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n35566,2020/07/11,\"I went grocery shopping with Willow. I bought some bananas, watermelons, apples, pineapples, mango juice, coffee, apple juice, soda, and facial wash, toothpaste\",\"I went grocery shopping with Willow. I bought some bananas, watermelons, apples, pineapples, mango juice, coffee, apple juice, soda, and facial wash, toothpaste\"\n35567,2020/07/11,I did HIIT on 2020/07/11.,I did HIIT on 2020/07/11.\n35568,2020/07/11,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n35569,2020/07/11,I ate sandwich for lunch.,I ate sandwich for lunch.\n35570,2020/07/11,\"I had a burger for dinner with Andrew, Carter, Kayden, Emily\",\"I had a burger for dinner with Andrew, Carter, Kayden, Emily\"\n35571,2020/07/11,I spent 50 talking to Rylee on various topics in the early evening.,I spent 50 talking to Rylee on various topics in the early evening.\n35572,2020/07/11,I spent 25 talking to Avery on various topics in the early afternoon.,I spent 25 talking to Avery on various topics in the early afternoon.\n35573,2020/07/11,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n35574,2020/07/11,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n35575,2020/07/12,I did biking on 2020/07/12.,I did biking on 2020/07/12.\n35576,2020/07/12,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n35577,2020/07/12,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n35578,2020/07/12,I ate pasta for dinner.,I ate pasta for dinner.\n35579,2020/07/12,I talked to Eva for 23 minutes in the morning.,I talked to Eva for 23 minutes in the morning.\n35580,2020/07/12,\"I talked to Lydia, Rylee for 37 minutes in the early afternoon.\",\"I talked to Lydia, Rylee for 37 minutes in the early afternoon.\"\n35581,2020/07/12,\"I talked to Lydia, Nevaeh, Rylee for 12 minutes in the late afternoon.\",\"I talked to Lydia, Nevaeh, Rylee for 12 minutes in the late afternoon.\"\n35582,2020/07/12,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n35583,2020/07/12,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n35584,2020/07/13,I did biking on 2020/07/13.,I did biking on 2020/07/13.\n35585,2020/07/13,\"I had breakfast with Lydia, Claire, Nora, Piper, Kinsley, Hazel, Layla, Avery, Piper, Rylee, Nevaeh, Eva, Olivia. I ate eggs, sausages, and bread.\",\"I had breakfast with Lydia, Claire, Nora, Piper, Kinsley, Hazel, Layla, Avery, Piper, Rylee, Nevaeh, Eva, Olivia. I ate eggs, sausages, and bread.\"\n35586,2020/07/13,\"I had chinese food for lunch with Carter, Kayden, Andrew, Emily\",\"I had chinese food for lunch with Carter, Kayden, Andrew, Emily\"\n35587,2020/07/13,I had dinner with Willow. I ate pasta.,I had dinner with Willow. I ate pasta.\n35588,2020/07/13,I talked to Eva for 53 minutes during lunch hours.,I talked to Eva for 53 minutes during lunch hours.\n35589,2020/07/13,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n35590,2020/07/13,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n35591,2020/07/14,I did biking on 2020/07/14.,I did biking on 2020/07/14.\n35592,2020/07/14,\"I had breakfast with Avery, Benjamin. I ate oatmeal.\",\"I had breakfast with Avery, Benjamin. I ate oatmeal.\"\n35593,2020/07/14,\"I had fish and chips for lunch with Piper, Hazel, Kinsley, Layla, Nora, Rylee, Claire, Piper, Eva, Nevaeh, Olivia, Lydia\",\"I had fish and chips for lunch with Piper, Hazel, Kinsley, Layla, Nora, Rylee, Claire, Piper, Eva, Nevaeh, Olivia, Lydia\"\n35594,2020/07/14,\"I had dinner with Carter, Emily, Kayden, Andrew. I ate fish and chips.\",\"I had dinner with Carter, Emily, Kayden, Andrew. I ate fish and chips.\"\n35595,2020/07/14,\"I talked to Hazel, Eva, Piper for 8 minutes in the early afternoon.\",\"I talked to Hazel, Eva, Piper for 8 minutes in the early afternoon.\"\n35596,2020/07/14,\"I spent 35 talking to Nevaeh, Piper on various topics during lunch hours.\",\"I spent 35 talking to Nevaeh, Piper on various topics during lunch hours.\"\n35597,2020/07/14,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n35598,2020/07/14,I spent 24 minutes watching a movie on TV today.,I spent 24 minutes watching a movie on TV today.\n35599,2020/07/15,I did weight lifting on 2020/07/15.,I did weight lifting on 2020/07/15.\n35600,2020/07/15,\"I had pancakes for breakfast with Carter, Andrew, Emily, Kayden\",\"I had pancakes for breakfast with Carter, Andrew, Emily, Kayden\"\n35601,2020/07/15,I prepare tacos for lunch.,I prepare tacos for lunch.\n35602,2020/07/15,\"I had sushi for dinner with Avery, Jackson, Willow, Benjamin\",\"I had sushi for dinner with Avery, Jackson, Willow, Benjamin\"\n35603,2020/07/15,I talked to Kinsley for 17 minutes in the morning.,I talked to Kinsley for 17 minutes in the morning.\n35604,2020/07/15,I spent 16 talking to Rylee on various topics in the early evening.,I spent 16 talking to Rylee on various topics in the early evening.\n35605,2020/07/15,I talked to Avery for 36 minutes in the late afternoon.,I talked to Avery for 36 minutes in the late afternoon.\n35606,2020/07/15,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n35607,2020/07/15,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n35608,2020/07/16,I did running on 2020/07/16.,I did running on 2020/07/16.\n35609,2020/07/16,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n35610,2020/07/16,I ate sandwich for lunch.,I ate sandwich for lunch.\n35611,2020/07/16,\"I had dinner with Avery, Benjamin, Willow, Jackson. I ate steak.\",\"I had dinner with Avery, Benjamin, Willow, Jackson. I ate steak.\"\n35612,2020/07/16,\"I spent 47 talking to Nora, Layla on various topics late in the evening.\",\"I spent 47 talking to Nora, Layla on various topics late in the evening.\"\n35613,2020/07/16,\"I spent 48 talking to Nora, Lydia, Nevaeh on various topics late in the evening.\",\"I spent 48 talking to Nora, Lydia, Nevaeh on various topics late in the evening.\"\n35614,2020/07/16,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n35615,2020/07/16,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n35616,2020/07/17,I went on a date with Sophia on 2020/07/17 at a boba shop,I went on a date with Sophia on 2020/07/17 at a boba shop\n35617,2020/07/17,\"I bought some pears, pineapples, orange juice, chocolate milk, toothpaste, conditioner online.\",\"I bought some pears, pineapples, orange juice, chocolate milk, toothpaste, conditioner online.\"\n35618,2020/07/17,I did swimming on 2020/07/17.,I did swimming on 2020/07/17.\n35619,2020/07/17,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n35620,2020/07/17,I prepare steak for lunch.,I prepare steak for lunch.\n35621,2020/07/17,I ate sandwich for dinner.,I ate sandwich for dinner.\n35622,2020/07/17,\"I spent 11 talking to Piper, Rylee, Hazel on various topics during lunch hours.\",\"I spent 11 talking to Piper, Rylee, Hazel on various topics during lunch hours.\"\n35623,2020/07/17,\"I spent 14 talking to Avery, Eva, Olivia, Nora on various topics in the morning.\",\"I spent 14 talking to Avery, Eva, Olivia, Nora on various topics in the morning.\"\n35624,2020/07/17,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n35625,2020/07/17,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n35626,2020/07/18,I did weight lifting on 2020/07/18.,I did weight lifting on 2020/07/18.\n35627,2020/07/18,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n35628,2020/07/18,\"I had sushi for lunch with Emily, Kayden, Carter\",\"I had sushi for lunch with Emily, Kayden, Carter\"\n35629,2020/07/18,I prepare pasta for dinner.,I prepare pasta for dinner.\n35630,2020/07/18,\"I talked to Claire, Piper, Lydia, Olivia for 31 minutes in the early evening.\",\"I talked to Claire, Piper, Lydia, Olivia for 31 minutes in the early evening.\"\n35631,2020/07/18,I spent 8 talking to Kinsley on various topics in the early afternoon.,I spent 8 talking to Kinsley on various topics in the early afternoon.\n35632,2020/07/18,\"I talked to Lydia, Rylee, Piper for 7 minutes in the morning.\",\"I talked to Lydia, Rylee, Piper for 7 minutes in the morning.\"\n35633,2020/07/18,\"I spent 12 talking to Hazel, Layla, Kinsley on various topics in the early evening.\",\"I spent 12 talking to Hazel, Layla, Kinsley on various topics in the early evening.\"\n35634,2020/07/18,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n35635,2020/07/18,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n35636,2020/07/19,I did swimming on 2020/07/19.,I did swimming on 2020/07/19.\n35637,2020/07/19,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n35638,2020/07/19,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n35639,2020/07/19,\"I had pasta for dinner with Avery, Hazel, Piper, Rylee, Piper, Olivia, Eva, Lydia, Nora, Claire, Nevaeh, Kinsley, Layla\",\"I had pasta for dinner with Avery, Hazel, Piper, Rylee, Piper, Olivia, Eva, Lydia, Nora, Claire, Nevaeh, Kinsley, Layla\"\n35640,2020/07/19,\"I talked to Kinsley, Piper, Olivia, Nevaeh for 38 minutes in the late afternoon.\",\"I talked to Kinsley, Piper, Olivia, Nevaeh for 38 minutes in the late afternoon.\"\n35641,2020/07/19,\"I spent 24 talking to Claire, Hazel, Avery on various topics in the late afternoon.\",\"I spent 24 talking to Claire, Hazel, Avery on various topics in the late afternoon.\"\n35642,2020/07/19,I talked to Hazel for 27 minutes during lunch hours.,I talked to Hazel for 27 minutes during lunch hours.\n35643,2020/07/19,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n35644,2020/07/19,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n35645,2020/07/20,\"I bought some mandarins, apricots, pears, pineapple juice, facial wash online.\",\"I bought some mandarins, apricots, pears, pineapple juice, facial wash online.\"\n35646,2020/07/20,I did HIIT on 2020/07/20.,I did HIIT on 2020/07/20.\n35647,2020/07/20,\"I had cereals for breakfast with Andrew, Kayden\",\"I had cereals for breakfast with Andrew, Kayden\"\n35648,2020/07/20,I had indian food for lunch with Carter,I had indian food for lunch with Carter\n35649,2020/07/20,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n35650,2020/07/20,\"I talked to Nora, Avery for 39 minutes in the early afternoon.\",\"I talked to Nora, Avery for 39 minutes in the early afternoon.\"\n35651,2020/07/20,\"I spent 24 talking to Kinsley, Avery, Eva on various topics in the early afternoon.\",\"I spent 24 talking to Kinsley, Avery, Eva on various topics in the early afternoon.\"\n35652,2020/07/20,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n35653,2020/07/20,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n35654,2020/07/21,I really enjoyed gardening on 2020/07/21,I really enjoyed gardening on 2020/07/21\n35655,2020/07/21,I did biking on 2020/07/21.,I did biking on 2020/07/21.\n35656,2020/07/21,\"I had peanut-butter-jam for breakfast with Avery, Jackson\",\"I had peanut-butter-jam for breakfast with Avery, Jackson\"\n35657,2020/07/21,I prepare pasta for lunch.,I prepare pasta for lunch.\n35658,2020/07/21,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n35659,2020/07/21,I spent 35 talking to Piper on various topics in the early afternoon.,I spent 35 talking to Piper on various topics in the early afternoon.\n35660,2020/07/21,\"I talked to Kinsley, Olivia for 9 minutes in the morning.\",\"I talked to Kinsley, Olivia for 9 minutes in the morning.\"\n35661,2020/07/21,I talked to Avery for 49 minutes in the early afternoon.,I talked to Avery for 49 minutes in the early afternoon.\n35662,2020/07/21,\"I talked to Nevaeh, Kinsley for 54 minutes in the morning.\",\"I talked to Nevaeh, Kinsley for 54 minutes in the morning.\"\n35663,2020/07/21,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n35664,2020/07/21,I watched a tv series for 46 minutes on TV today.,I watched a tv series for 46 minutes on TV today.\n35665,2020/07/22,\"I bought some blackberries, watermelons, strawberries, clementines, milk, chocolate milk, tea, toothpaste, shampoo, mouthwash online.\",\"I bought some blackberries, watermelons, strawberries, clementines, milk, chocolate milk, tea, toothpaste, shampoo, mouthwash online.\"\n35666,2020/07/22,I did biking on 2020/07/22.,I did biking on 2020/07/22.\n35667,2020/07/22,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n35668,2020/07/22,\"I had lunch with Lydia, Nora, Layla, Piper, Eva, Hazel, Avery, Kinsley, Olivia, Nevaeh. I ate sandwich.\",\"I had lunch with Lydia, Nora, Layla, Piper, Eva, Hazel, Avery, Kinsley, Olivia, Nevaeh. I ate sandwich.\"\n35669,2020/07/22,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n35670,2020/07/22,\"I spent 10 talking to Nora, Rylee on various topics in the late afternoon.\",\"I spent 10 talking to Nora, Rylee on various topics in the late afternoon.\"\n35671,2020/07/22,\"I spent 39 talking to Rylee, Kinsley, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 39 talking to Rylee, Kinsley, Piper, Nevaeh on various topics in the late afternoon.\"\n35672,2020/07/22,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n35673,2020/07/22,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n35674,2020/07/23,I did biking on 2020/07/23.,I did biking on 2020/07/23.\n35675,2020/07/23,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n35676,2020/07/23,I prepare sushi for lunch.,I prepare sushi for lunch.\n35677,2020/07/23,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n35678,2020/07/23,\"I spent 49 talking to Lydia, Hazel, Layla, Eva on various topics late in the evening.\",\"I spent 49 talking to Lydia, Hazel, Layla, Eva on various topics late in the evening.\"\n35679,2020/07/23,I talked to Lydia for 53 minutes late in the evening.,I talked to Lydia for 53 minutes late in the evening.\n35680,2020/07/23,\"I talked to Nora, Hazel for 38 minutes in the early afternoon.\",\"I talked to Nora, Hazel for 38 minutes in the early afternoon.\"\n35681,2020/07/23,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n35682,2020/07/23,I watched a documentary for 49 minutes on TV today.,I watched a documentary for 49 minutes on TV today.\n35683,2020/07/24,I did HIIT on 2020/07/24.,I did HIIT on 2020/07/24.\n35684,2020/07/24,\"I had toast and cheese for breakfast with Carter, Kayden, Emily, Andrew\",\"I had toast and cheese for breakfast with Carter, Kayden, Emily, Andrew\"\n35685,2020/07/24,I prepare indian food for lunch.,I prepare indian food for lunch.\n35686,2020/07/24,I prepare a burger for dinner.,I prepare a burger for dinner.\n35687,2020/07/24,\"I spent 32 talking to Eva, Nora on various topics late in the evening.\",\"I spent 32 talking to Eva, Nora on various topics late in the evening.\"\n35688,2020/07/24,\"I talked to Nora, Avery, Hazel for 26 minutes in the early afternoon.\",\"I talked to Nora, Avery, Hazel for 26 minutes in the early afternoon.\"\n35689,2020/07/24,\"I spent 47 talking to Claire, Layla, Piper, Rylee on various topics in the early afternoon.\",\"I spent 47 talking to Claire, Layla, Piper, Rylee on various topics in the early afternoon.\"\n35690,2020/07/24,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n35691,2020/07/24,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n35692,2020/07/25,\"I went grocery shopping with Avery, Nevaeh, Hazel, Kinsley. I bought some nectarines, bananas, strawberries, blueberries, soda, and conditioner, toilet paper, mouth wash\",\"I went grocery shopping with Avery, Nevaeh, Hazel, Kinsley. I bought some nectarines, bananas, strawberries, blueberries, soda, and conditioner, toilet paper, mouth wash\"\n35693,2020/07/25,I did HIIT on 2020/07/25.,I did HIIT on 2020/07/25.\n35694,2020/07/25,\"I had breakfast with Piper, Kinsley. I ate oatmeal.\",\"I had breakfast with Piper, Kinsley. I ate oatmeal.\"\n35695,2020/07/25,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n35696,2020/07/25,I prepare a burger for dinner.,I prepare a burger for dinner.\n35697,2020/07/25,I talked to Nora for 20 minutes in the early afternoon.,I talked to Nora for 20 minutes in the early afternoon.\n35698,2020/07/25,I talked to Piper for 41 minutes late in the evening.,I talked to Piper for 41 minutes late in the evening.\n35699,2020/07/25,I spent 29 talking to Rylee on various topics in the early afternoon.,I spent 29 talking to Rylee on various topics in the early afternoon.\n35700,2020/07/25,\"I spent 12 talking to Lydia, Rylee, Olivia on various topics in the early afternoon.\",\"I spent 12 talking to Lydia, Rylee, Olivia on various topics in the early afternoon.\"\n35701,2020/07/25,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n35702,2020/07/25,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n35703,2020/07/26,I did HIIT on 2020/07/26.,I did HIIT on 2020/07/26.\n35704,2020/07/26,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n35705,2020/07/26,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n35706,2020/07/26,\"I had dinner with Emily, Andrew, Carter, Kayden. I ate tacos.\",\"I had dinner with Emily, Andrew, Carter, Kayden. I ate tacos.\"\n35707,2020/07/26,\"I talked to Nevaeh, Avery, Rylee, Layla for 35 minutes during lunch hours.\",\"I talked to Nevaeh, Avery, Rylee, Layla for 35 minutes during lunch hours.\"\n35708,2020/07/26,\"I talked to Hazel, Piper, Rylee for 27 minutes during lunch hours.\",\"I talked to Hazel, Piper, Rylee for 27 minutes during lunch hours.\"\n35709,2020/07/26,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n35710,2020/07/26,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n35711,2020/07/27,I went on a date with Claire on 2020/07/27 at a park,I went on a date with Claire on 2020/07/27 at a park\n35712,2020/07/27,I did running on 2020/07/27.,I did running on 2020/07/27.\n35713,2020/07/27,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n35714,2020/07/27,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n35715,2020/07/27,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n35716,2020/07/27,I spent 51 talking to Layla on various topics in the morning.,I spent 51 talking to Layla on various topics in the morning.\n35717,2020/07/27,\"I talked to Hazel, Kinsley for 12 minutes in the early evening.\",\"I talked to Hazel, Kinsley for 12 minutes in the early evening.\"\n35718,2020/07/27,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n35719,2020/07/27,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n35720,2020/07/28,I spent some time meditation on 2020/07/28.,I spent some time meditation on 2020/07/28.\n35721,2020/07/28,I did HIIT on 2020/07/28.,I did HIIT on 2020/07/28.\n35722,2020/07/28,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n35723,2020/07/28,I prepare pasta for lunch.,I prepare pasta for lunch.\n35724,2020/07/28,\"I had dinner with Carter, Andrew, Kayden. I ate tacos.\",\"I had dinner with Carter, Andrew, Kayden. I ate tacos.\"\n35725,2020/07/28,\"I spent 55 talking to Nora, Avery, Layla, Kinsley on various topics in the early evening.\",\"I spent 55 talking to Nora, Avery, Layla, Kinsley on various topics in the early evening.\"\n35726,2020/07/28,\"I spent 11 talking to Piper, Kinsley, Claire, Nora on various topics late in the evening.\",\"I spent 11 talking to Piper, Kinsley, Claire, Nora on various topics late in the evening.\"\n35727,2020/07/28,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n35728,2020/07/28,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n35729,2020/07/29,I did swimming on 2020/07/29.,I did swimming on 2020/07/29.\n35730,2020/07/29,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n35731,2020/07/29,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n35732,2020/07/29,I prepare indian food for dinner.,I prepare indian food for dinner.\n35733,2020/07/29,\"I spent 48 talking to Nevaeh, Kinsley, Hazel on various topics in the morning.\",\"I spent 48 talking to Nevaeh, Kinsley, Hazel on various topics in the morning.\"\n35734,2020/07/29,\"I spent 14 talking to Piper, Olivia on various topics in the early afternoon.\",\"I spent 14 talking to Piper, Olivia on various topics in the early afternoon.\"\n35735,2020/07/29,\"I talked to Olivia, Claire, Eva, Kinsley for 48 minutes late in the evening.\",\"I talked to Olivia, Claire, Eva, Kinsley for 48 minutes late in the evening.\"\n35736,2020/07/29,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n35737,2020/07/29,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n35738,2020/07/30,I did swimming on 2020/07/30.,I did swimming on 2020/07/30.\n35739,2020/07/30,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n35740,2020/07/30,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n35741,2020/07/30,I ate indian food for dinner.,I ate indian food for dinner.\n35742,2020/07/30,I spent 42 talking to Layla on various topics in the early afternoon.,I spent 42 talking to Layla on various topics in the early afternoon.\n35743,2020/07/30,\"I spent 53 talking to Olivia, Piper on various topics in the morning.\",\"I spent 53 talking to Olivia, Piper on various topics in the morning.\"\n35744,2020/07/30,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n35745,2020/07/30,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n35746,2020/07/31,\"I bought some mandarins, cherres, soda, chocolate milk, shaving cream, body lotion, toilet paper, mouth wash from the grocery store. I saw Carter at the grocery store.\",\"I bought some mandarins, cherres, soda, chocolate milk, shaving cream, body lotion, toilet paper, mouth wash from the grocery store. I saw Carter at the grocery store.\"\n35747,2020/07/31,I did running on 2020/07/31.,I did running on 2020/07/31.\n35748,2020/07/31,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n35749,2020/07/31,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n35750,2020/07/31,\"I had chinese food for dinner with Willow, Avery\",\"I had chinese food for dinner with Willow, Avery\"\n35751,2020/07/31,\"I talked to Kinsley, Rylee for 55 minutes in the early evening.\",\"I talked to Kinsley, Rylee for 55 minutes in the early evening.\"\n35752,2020/07/31,\"I spent 10 talking to Rylee, Piper, Hazel on various topics in the morning.\",\"I spent 10 talking to Rylee, Piper, Hazel on various topics in the morning.\"\n35753,2020/07/31,\"I talked to Piper, Olivia, Avery for 48 minutes in the early evening.\",\"I talked to Piper, Olivia, Avery for 48 minutes in the early evening.\"\n35754,2020/07/31,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n35755,2020/07/31,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n35756,2020/08/01,I did running on 2020/08/01.,I did running on 2020/08/01.\n35757,2020/08/01,\"I had breakfast with Hazel, Piper, Nora, Lydia, Piper, Nevaeh, Layla, Claire, Olivia, Avery, Kinsley. I ate cereals.\",\"I had breakfast with Hazel, Piper, Nora, Lydia, Piper, Nevaeh, Layla, Claire, Olivia, Avery, Kinsley. I ate cereals.\"\n35758,2020/08/01,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n35759,2020/08/01,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n35760,2020/08/01,\"I talked to Nevaeh, Lydia, Piper, Kinsley for 34 minutes in the early afternoon.\",\"I talked to Nevaeh, Lydia, Piper, Kinsley for 34 minutes in the early afternoon.\"\n35761,2020/08/01,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n35762,2020/08/01,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n35763,2020/08/02,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n35764,2020/08/02,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n35765,2020/08/02,\"I had tacos for dinner with Benjamin, Jackson\",\"I had tacos for dinner with Benjamin, Jackson\"\n35766,2020/08/02,\"I talked to Nora, Kinsley, Nevaeh, Avery for 35 minutes in the late afternoon.\",\"I talked to Nora, Kinsley, Nevaeh, Avery for 35 minutes in the late afternoon.\"\n35767,2020/08/02,\"I spent 24 talking to Eva, Piper, Rylee, Hazel on various topics in the early afternoon.\",\"I spent 24 talking to Eva, Piper, Rylee, Hazel on various topics in the early afternoon.\"\n35768,2020/08/02,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n35769,2020/08/02,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n35770,2020/08/03,\"I bought some nectarines, apricots, chocolate milk, pineapple juice, toothpaste, shampoo, mouth wash, mouthwash online.\",\"I bought some nectarines, apricots, chocolate milk, pineapple juice, toothpaste, shampoo, mouth wash, mouthwash online.\"\n35771,2020/08/03,I did swimming on 2020/08/03.,I did swimming on 2020/08/03.\n35772,2020/08/03,I ate cereals for breakfast.,I ate cereals for breakfast.\n35773,2020/08/03,I ate chinese food for lunch.,I ate chinese food for lunch.\n35774,2020/08/03,\"I had dinner with Benjamin, Jackson, Avery. I ate fish and chips.\",\"I had dinner with Benjamin, Jackson, Avery. I ate fish and chips.\"\n35775,2020/08/03,\"I spent 9 talking to Rylee, Lydia on various topics during lunch hours.\",\"I spent 9 talking to Rylee, Lydia on various topics during lunch hours.\"\n35776,2020/08/03,I talked to Nevaeh for 47 minutes late in the evening.,I talked to Nevaeh for 47 minutes late in the evening.\n35777,2020/08/03,\"I talked to Hazel, Layla for 37 minutes in the late afternoon.\",\"I talked to Hazel, Layla for 37 minutes in the late afternoon.\"\n35778,2020/08/03,I talked to Nevaeh for 36 minutes during lunch hours.,I talked to Nevaeh for 36 minutes during lunch hours.\n35779,2020/08/03,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n35780,2020/08/03,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n35781,2020/08/04,I did swimming on 2020/08/04.,I did swimming on 2020/08/04.\n35782,2020/08/04,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n35783,2020/08/04,I ate tacos for lunch.,I ate tacos for lunch.\n35784,2020/08/04,I ate sandwich for dinner.,I ate sandwich for dinner.\n35785,2020/08/04,\"I spent 5 talking to Rylee, Avery on various topics in the early evening.\",\"I spent 5 talking to Rylee, Avery on various topics in the early evening.\"\n35786,2020/08/04,\"I talked to Nevaeh, Lydia for 28 minutes in the early evening.\",\"I talked to Nevaeh, Lydia for 28 minutes in the early evening.\"\n35787,2020/08/04,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n35788,2020/08/04,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n35789,2020/08/05,I did running on 2020/08/05.,I did running on 2020/08/05.\n35790,2020/08/05,\"I had oatmeal for breakfast with Layla, Hazel, Rylee, Nevaeh, Nora, Avery, Lydia, Eva, Olivia, Claire, Piper\",\"I had oatmeal for breakfast with Layla, Hazel, Rylee, Nevaeh, Nora, Avery, Lydia, Eva, Olivia, Claire, Piper\"\n35791,2020/08/05,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n35792,2020/08/05,\"I had chinese food for dinner with Carter, Andrew, Kayden, Emily\",\"I had chinese food for dinner with Carter, Andrew, Kayden, Emily\"\n35793,2020/08/05,\"I talked to Layla, Kinsley, Piper, Hazel for 45 minutes in the morning.\",\"I talked to Layla, Kinsley, Piper, Hazel for 45 minutes in the morning.\"\n35794,2020/08/05,I spent 52 talking to Lydia on various topics during lunch hours.,I spent 52 talking to Lydia on various topics during lunch hours.\n35795,2020/08/05,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n35796,2020/08/05,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n35797,2020/08/06,I spent some time working out on 2020/08/06.,I spent some time working out on 2020/08/06.\n35798,2020/08/06,\"I had breakfast with Kayden, Carter, Andrew. I ate cereals.\",\"I had breakfast with Kayden, Carter, Andrew. I ate cereals.\"\n35799,2020/08/06,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n35800,2020/08/06,\"I had dinner with Kayden, Emily, Carter. I ate fish and chips.\",\"I had dinner with Kayden, Emily, Carter. I ate fish and chips.\"\n35801,2020/08/06,\"I spent 30 talking to Piper, Kinsley, Lydia on various topics late in the evening.\",\"I spent 30 talking to Piper, Kinsley, Lydia on various topics late in the evening.\"\n35802,2020/08/06,\"I spent 55 talking to Hazel, Piper, Olivia on various topics late in the evening.\",\"I spent 55 talking to Hazel, Piper, Olivia on various topics late in the evening.\"\n35803,2020/08/06,\"I talked to Piper, Hazel, Eva, Nora for 36 minutes during lunch hours.\",\"I talked to Piper, Hazel, Eva, Nora for 36 minutes during lunch hours.\"\n35804,2020/08/06,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n35805,2020/08/06,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n35806,2020/08/07,I did HIIT on 2020/08/07.,I did HIIT on 2020/08/07.\n35807,2020/08/07,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n35808,2020/08/07,I ate tacos for lunch.,I ate tacos for lunch.\n35809,2020/08/07,I prepare pasta for dinner.,I prepare pasta for dinner.\n35810,2020/08/07,\"I spent 7 talking to Avery, Nevaeh, Nora, Piper on various topics late in the evening.\",\"I spent 7 talking to Avery, Nevaeh, Nora, Piper on various topics late in the evening.\"\n35811,2020/08/07,\"I spent 13 talking to Hazel, Nevaeh, Rylee, Kinsley on various topics in the early afternoon.\",\"I spent 13 talking to Hazel, Nevaeh, Rylee, Kinsley on various topics in the early afternoon.\"\n35812,2020/08/07,I talked to Rylee for 31 minutes late in the evening.,I talked to Rylee for 31 minutes late in the evening.\n35813,2020/08/07,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n35814,2020/08/07,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n35815,2020/08/08,\"I bought some apples, chocolate milk, toothbrush from the grocery store. I saw Kayden at the grocery store.\",\"I bought some apples, chocolate milk, toothbrush from the grocery store. I saw Kayden at the grocery store.\"\n35816,2020/08/08,I did hiking on 2020/08/08.,I did hiking on 2020/08/08.\n35817,2020/08/08,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n35818,2020/08/08,\"I had sushi for lunch with Nevaeh, Lydia, Layla, Hazel, Kinsley, Nora, Eva, Olivia, Avery, Piper\",\"I had sushi for lunch with Nevaeh, Lydia, Layla, Hazel, Kinsley, Nora, Eva, Olivia, Avery, Piper\"\n35819,2020/08/08,\"I had pasta for dinner with Carter, Andrew, Emily\",\"I had pasta for dinner with Carter, Andrew, Emily\"\n35820,2020/08/08,I talked to Nora for 25 minutes in the late afternoon.,I talked to Nora for 25 minutes in the late afternoon.\n35821,2020/08/08,\"I spent 14 talking to Avery, Eva, Olivia, Rylee on various topics during lunch hours.\",\"I spent 14 talking to Avery, Eva, Olivia, Rylee on various topics during lunch hours.\"\n35822,2020/08/08,I talked to Eva for 26 minutes late in the evening.,I talked to Eva for 26 minutes late in the evening.\n35823,2020/08/08,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n35824,2020/08/08,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n35825,2020/08/09,I did biking on 2020/08/09.,I did biking on 2020/08/09.\n35826,2020/08/09,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n35827,2020/08/09,I had lunch with Kayden. I ate sushi.,I had lunch with Kayden. I ate sushi.\n35828,2020/08/09,\"I had tacos for dinner with Willow, Benjamin\",\"I had tacos for dinner with Willow, Benjamin\"\n35829,2020/08/09,\"I talked to Claire, Piper for 48 minutes in the morning.\",\"I talked to Claire, Piper for 48 minutes in the morning.\"\n35830,2020/08/09,I talked to Eva for 33 minutes in the morning.,I talked to Eva for 33 minutes in the morning.\n35831,2020/08/09,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n35832,2020/08/09,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n35833,2020/08/10,I did biking on 2020/08/10.,I did biking on 2020/08/10.\n35834,2020/08/10,\"I had breakfast with Avery, Willow, Jackson, Benjamin. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Willow, Jackson, Benjamin. I ate eggs, sausages, and bread.\"\n35835,2020/08/10,\"I had tacos for lunch with Nora, Claire, Piper, Hazel, Piper, Olivia, Avery, Nevaeh, Kinsley, Lydia, Layla\",\"I had tacos for lunch with Nora, Claire, Piper, Hazel, Piper, Olivia, Avery, Nevaeh, Kinsley, Lydia, Layla\"\n35836,2020/08/10,I ate a burger for dinner.,I ate a burger for dinner.\n35837,2020/08/10,\"I spent 45 talking to Lydia, Piper, Rylee on various topics during lunch hours.\",\"I spent 45 talking to Lydia, Piper, Rylee on various topics during lunch hours.\"\n35838,2020/08/10,I spent 39 talking to Nevaeh on various topics in the early afternoon.,I spent 39 talking to Nevaeh on various topics in the early afternoon.\n35839,2020/08/10,\"I spent 12 talking to Avery, Olivia, Piper on various topics late in the evening.\",\"I spent 12 talking to Avery, Olivia, Piper on various topics late in the evening.\"\n35840,2020/08/10,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n35841,2020/08/10,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n35842,2020/08/11,\"On 2020/08/11, I took Elizabeth on a date to a restaurant\",\"On 2020/08/11, I took Elizabeth on a date to a restaurant\"\n35843,2020/08/11,I did weight lifting on 2020/08/11.,I did weight lifting on 2020/08/11.\n35844,2020/08/11,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n35845,2020/08/11,I prepare a burger for lunch.,I prepare a burger for lunch.\n35846,2020/08/11,I ate sandwich for dinner.,I ate sandwich for dinner.\n35847,2020/08/11,I spent 19 talking to Piper on various topics in the late afternoon.,I spent 19 talking to Piper on various topics in the late afternoon.\n35848,2020/08/11,\"I talked to Lydia, Rylee, Nevaeh for 53 minutes in the early evening.\",\"I talked to Lydia, Rylee, Nevaeh for 53 minutes in the early evening.\"\n35849,2020/08/11,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n35850,2020/08/11,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n35851,2020/08/12,I did weight lifting on 2020/08/12.,I did weight lifting on 2020/08/12.\n35852,2020/08/12,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n35853,2020/08/12,I had lunch with Kayden. I ate pasta.,I had lunch with Kayden. I ate pasta.\n35854,2020/08/12,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n35855,2020/08/12,\"I talked to Layla, Claire, Avery, Lydia for 44 minutes late in the evening.\",\"I talked to Layla, Claire, Avery, Lydia for 44 minutes late in the evening.\"\n35856,2020/08/12,\"I talked to Rylee, Olivia, Kinsley, Layla for 30 minutes late in the evening.\",\"I talked to Rylee, Olivia, Kinsley, Layla for 30 minutes late in the evening.\"\n35857,2020/08/12,I talked to Olivia for 20 minutes in the early afternoon.,I talked to Olivia for 20 minutes in the early afternoon.\n35858,2020/08/12,\"I talked to Hazel, Layla, Kinsley, Rylee for 16 minutes in the early evening.\",\"I talked to Hazel, Layla, Kinsley, Rylee for 16 minutes in the early evening.\"\n35859,2020/08/12,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n35860,2020/08/12,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n35861,2020/08/13,I really enjoyed meditation on 2020/08/13,I really enjoyed meditation on 2020/08/13\n35862,2020/08/13,\"I bought some cherres, nectarines, apple juice, chocolate milk, sports drinks, shampoo, toilet paper, facial wash, shaving cream online.\",\"I bought some cherres, nectarines, apple juice, chocolate milk, sports drinks, shampoo, toilet paper, facial wash, shaving cream online.\"\n35863,2020/08/13,\"I had toast and cheese for breakfast with Nevaeh, Olivia, Kinsley, Nora, Rylee, Layla, Avery, Piper, Piper, Hazel, Claire, Eva, Lydia\",\"I had toast and cheese for breakfast with Nevaeh, Olivia, Kinsley, Nora, Rylee, Layla, Avery, Piper, Piper, Hazel, Claire, Eva, Lydia\"\n35864,2020/08/13,I ate chinese food for lunch.,I ate chinese food for lunch.\n35865,2020/08/13,\"I had dinner with Eva, Avery, Rylee, Nevaeh. I ate sushi.\",\"I had dinner with Eva, Avery, Rylee, Nevaeh. I ate sushi.\"\n35866,2020/08/13,\"I talked to Lydia, Eva, Kinsley for 40 minutes in the early evening.\",\"I talked to Lydia, Eva, Kinsley for 40 minutes in the early evening.\"\n35867,2020/08/13,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n35868,2020/08/13,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n35869,2020/08/14,I did HIIT on 2020/08/14.,I did HIIT on 2020/08/14.\n35870,2020/08/14,\"I had breakfast with Willow, Benjamin, Avery, Jackson. I ate cereals.\",\"I had breakfast with Willow, Benjamin, Avery, Jackson. I ate cereals.\"\n35871,2020/08/14,\"I had lunch with Eva, Claire, Piper, Nevaeh, Nora, Lydia, Avery, Hazel, Olivia, Rylee, Layla, Kinsley. I ate tacos.\",\"I had lunch with Eva, Claire, Piper, Nevaeh, Nora, Lydia, Avery, Hazel, Olivia, Rylee, Layla, Kinsley. I ate tacos.\"\n35872,2020/08/14,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n35873,2020/08/14,\"I spent 48 talking to Claire, Avery, Hazel on various topics late in the evening.\",\"I spent 48 talking to Claire, Avery, Hazel on various topics late in the evening.\"\n35874,2020/08/14,\"I talked to Lydia, Olivia for 26 minutes in the morning.\",\"I talked to Lydia, Olivia for 26 minutes in the morning.\"\n35875,2020/08/14,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n35876,2020/08/14,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n35877,2020/08/15,\"I was baking chocolate-chip mug brownie, easy cherry skillet cake on 2020/08/15 with Benjamin, Avery, Willow at my place\",\"I was baking chocolate-chip mug brownie, easy cherry skillet cake on 2020/08/15 with Benjamin, Avery, Willow at my place\"\n35878,2020/08/15,I did HIIT on 2020/08/15.,I did HIIT on 2020/08/15.\n35879,2020/08/15,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n35880,2020/08/15,\"I had lunch with Layla, Olivia, Piper, Piper, Eva, Kinsley, Avery, Nevaeh, Lydia, Hazel. I ate sushi.\",\"I had lunch with Layla, Olivia, Piper, Piper, Eva, Kinsley, Avery, Nevaeh, Lydia, Hazel. I ate sushi.\"\n35881,2020/08/15,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n35882,2020/08/15,\"I talked to Claire, Piper, Lydia, Hazel for 23 minutes in the morning.\",\"I talked to Claire, Piper, Lydia, Hazel for 23 minutes in the morning.\"\n35883,2020/08/15,I talked to Hazel for 17 minutes in the morning.,I talked to Hazel for 17 minutes in the morning.\n35884,2020/08/15,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n35885,2020/08/15,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n35886,2020/08/16,I did running on 2020/08/16.,I did running on 2020/08/16.\n35887,2020/08/16,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n35888,2020/08/16,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n35889,2020/08/16,I prepare sushi for dinner.,I prepare sushi for dinner.\n35890,2020/08/16,I spent 11 talking to Lydia on various topics in the late afternoon.,I spent 11 talking to Lydia on various topics in the late afternoon.\n35891,2020/08/16,\"I spent 27 talking to Nevaeh, Nora, Piper on various topics in the early afternoon.\",\"I spent 27 talking to Nevaeh, Nora, Piper on various topics in the early afternoon.\"\n35892,2020/08/16,I talked to Lydia for 14 minutes in the morning.,I talked to Lydia for 14 minutes in the morning.\n35893,2020/08/16,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n35894,2020/08/16,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n35895,2020/08/17,I went on a date with Hunter on 2020/08/17 at a coffee Shop,I went on a date with Hunter on 2020/08/17 at a coffee Shop\n35896,2020/08/17,\"I went grocery shopping. I bought some bananas, watermelons, apple juice, mango juice, orange juice, mineral water, and shampoo\",\"I went grocery shopping. I bought some bananas, watermelons, apple juice, mango juice, orange juice, mineral water, and shampoo\"\n35897,2020/08/17,I did hiking on 2020/08/17.,I did hiking on 2020/08/17.\n35898,2020/08/17,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n35899,2020/08/17,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n35900,2020/08/17,I ate sandwich for dinner.,I ate sandwich for dinner.\n35901,2020/08/17,\"I spent 36 talking to Olivia, Hazel, Kinsley on various topics in the early evening.\",\"I spent 36 talking to Olivia, Hazel, Kinsley on various topics in the early evening.\"\n35902,2020/08/17,\"I talked to Layla, Rylee, Kinsley, Lydia for 54 minutes in the late afternoon.\",\"I talked to Layla, Rylee, Kinsley, Lydia for 54 minutes in the late afternoon.\"\n35903,2020/08/17,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n35904,2020/08/17,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n35905,2020/08/18,I did swimming on 2020/08/18.,I did swimming on 2020/08/18.\n35906,2020/08/18,I had breakfast with Willow. I ate pancakes.,I had breakfast with Willow. I ate pancakes.\n35907,2020/08/18,I ate sushi for lunch.,I ate sushi for lunch.\n35908,2020/08/18,\"I had dinner with Andrew, Kayden, Emily, Carter. I ate sushi.\",\"I had dinner with Andrew, Kayden, Emily, Carter. I ate sushi.\"\n35909,2020/08/18,\"I talked to Kinsley, Nora for 30 minutes in the late afternoon.\",\"I talked to Kinsley, Nora for 30 minutes in the late afternoon.\"\n35910,2020/08/18,I spent 44 talking to Olivia on various topics late in the evening.,I spent 44 talking to Olivia on various topics late in the evening.\n35911,2020/08/18,\"I talked to Eva, Rylee, Lydia for 39 minutes in the late afternoon.\",\"I talked to Eva, Rylee, Lydia for 39 minutes in the late afternoon.\"\n35912,2020/08/18,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n35913,2020/08/18,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n35914,2020/08/19,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n35915,2020/08/19,\"I had sushi for lunch with Andrew, Emily, Kayden, Carter\",\"I had sushi for lunch with Andrew, Emily, Kayden, Carter\"\n35916,2020/08/19,\"I had indian food for dinner with Emily, Andrew, Kayden\",\"I had indian food for dinner with Emily, Andrew, Kayden\"\n35917,2020/08/19,\"I spent 29 talking to Eva, Hazel, Layla, Nora on various topics in the early evening.\",\"I spent 29 talking to Eva, Hazel, Layla, Nora on various topics in the early evening.\"\n35918,2020/08/19,\"I talked to Layla, Claire for 51 minutes during lunch hours.\",\"I talked to Layla, Claire for 51 minutes during lunch hours.\"\n35919,2020/08/19,\"I spent 14 talking to Olivia, Nora, Eva on various topics in the late afternoon.\",\"I spent 14 talking to Olivia, Nora, Eva on various topics in the late afternoon.\"\n35920,2020/08/19,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n35921,2020/08/19,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n35922,2020/08/20,I went on a date with Anna on 2020/08/20 at a boba shop,I went on a date with Anna on 2020/08/20 at a boba shop\n35923,2020/08/20,\"I went grocery shopping. I bought some mangos, pineapple juice, tea, and paper towel, mouthwash, facial wash\",\"I went grocery shopping. I bought some mangos, pineapple juice, tea, and paper towel, mouthwash, facial wash\"\n35924,2020/08/20,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n35925,2020/08/20,I prepare steak for lunch.,I prepare steak for lunch.\n35926,2020/08/20,I ate indian food for dinner.,I ate indian food for dinner.\n35927,2020/08/20,\"I spent 24 talking to Avery, Layla, Eva, Piper on various topics in the early evening.\",\"I spent 24 talking to Avery, Layla, Eva, Piper on various topics in the early evening.\"\n35928,2020/08/20,\"I spent 35 talking to Hazel, Avery, Layla on various topics in the early afternoon.\",\"I spent 35 talking to Hazel, Avery, Layla on various topics in the early afternoon.\"\n35929,2020/08/20,I talked to Avery for 21 minutes in the early evening.,I talked to Avery for 21 minutes in the early evening.\n35930,2020/08/20,\"I spent 29 talking to Claire, Piper, Lydia on various topics in the late afternoon.\",\"I spent 29 talking to Claire, Piper, Lydia on various topics in the late afternoon.\"\n35931,2020/08/20,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n35932,2020/08/20,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n35933,2020/08/21,\"I had breakfast with Claire, Hazel, Eva, Piper, Layla, Piper, Avery, Olivia, Lydia, Nevaeh. I ate eggs, sausages, and bread.\",\"I had breakfast with Claire, Hazel, Eva, Piper, Layla, Piper, Avery, Olivia, Lydia, Nevaeh. I ate eggs, sausages, and bread.\"\n35934,2020/08/21,\"I had chinese food for lunch with Kayden, Andrew, Emily\",\"I had chinese food for lunch with Kayden, Andrew, Emily\"\n35935,2020/08/21,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n35936,2020/08/21,\"I spent 5 talking to Rylee, Nevaeh, Claire on various topics in the morning.\",\"I spent 5 talking to Rylee, Nevaeh, Claire on various topics in the morning.\"\n35937,2020/08/21,\"I talked to Claire, Kinsley for 25 minutes in the early evening.\",\"I talked to Claire, Kinsley for 25 minutes in the early evening.\"\n35938,2020/08/21,I talked to Piper for 53 minutes during lunch hours.,I talked to Piper for 53 minutes during lunch hours.\n35939,2020/08/21,\"I talked to Piper, Nevaeh, Eva, Rylee for 19 minutes in the morning.\",\"I talked to Piper, Nevaeh, Eva, Rylee for 19 minutes in the morning.\"\n35940,2020/08/21,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n35941,2020/08/21,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n35942,2020/08/22,\"I went grocery shopping. I bought some blackberries, cherres, strawberries, bananas, apple juice, coffee, and toothbrush, mouthwash\",\"I went grocery shopping. I bought some blackberries, cherres, strawberries, bananas, apple juice, coffee, and toothbrush, mouthwash\"\n35943,2020/08/22,I did swimming on 2020/08/22.,I did swimming on 2020/08/22.\n35944,2020/08/22,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n35945,2020/08/22,I prepare tacos for lunch.,I prepare tacos for lunch.\n35946,2020/08/22,\"I had dinner with Avery, Jackson. I ate indian food.\",\"I had dinner with Avery, Jackson. I ate indian food.\"\n35947,2020/08/22,\"I spent 54 talking to Nora, Piper, Avery, Rylee on various topics during lunch hours.\",\"I spent 54 talking to Nora, Piper, Avery, Rylee on various topics during lunch hours.\"\n35948,2020/08/22,\"I talked to Avery, Lydia for 11 minutes in the morning.\",\"I talked to Avery, Lydia for 11 minutes in the morning.\"\n35949,2020/08/22,\"I talked to Piper, Nora, Rylee, Lydia for 52 minutes in the early afternoon.\",\"I talked to Piper, Nora, Rylee, Lydia for 52 minutes in the early afternoon.\"\n35950,2020/08/22,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n35951,2020/08/22,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n35952,2020/08/23,I did weight lifting on 2020/08/23.,I did weight lifting on 2020/08/23.\n35953,2020/08/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n35954,2020/08/23,\"I had lunch with Claire, Nora, Eva. I ate tacos.\",\"I had lunch with Claire, Nora, Eva. I ate tacos.\"\n35955,2020/08/23,\"I had a burger for dinner with Emily, Carter, Andrew, Kayden\",\"I had a burger for dinner with Emily, Carter, Andrew, Kayden\"\n35956,2020/08/23,I spent 43 talking to Piper on various topics in the early afternoon.,I spent 43 talking to Piper on various topics in the early afternoon.\n35957,2020/08/23,\"I talked to Nevaeh, Kinsley for 37 minutes in the early evening.\",\"I talked to Nevaeh, Kinsley for 37 minutes in the early evening.\"\n35958,2020/08/23,\"I talked to Lydia, Piper for 30 minutes in the early afternoon.\",\"I talked to Lydia, Piper for 30 minutes in the early afternoon.\"\n35959,2020/08/23,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n35960,2020/08/23,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n35961,2020/08/24,\"On 2020/08/24, I took Eva on a date to a restaurant\",\"On 2020/08/24, I took Eva on a date to a restaurant\"\n35962,2020/08/24,I spent some time meditation on 2020/08/24.,I spent some time meditation on 2020/08/24.\n35963,2020/08/24,I did weight lifting on 2020/08/24.,I did weight lifting on 2020/08/24.\n35964,2020/08/24,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n35965,2020/08/24,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n35966,2020/08/24,I prepare pasta for dinner.,I prepare pasta for dinner.\n35967,2020/08/24,\"I spent 28 talking to Nevaeh, Piper on various topics late in the evening.\",\"I spent 28 talking to Nevaeh, Piper on various topics late in the evening.\"\n35968,2020/08/24,\"I spent 11 talking to Kinsley, Avery, Piper on various topics late in the evening.\",\"I spent 11 talking to Kinsley, Avery, Piper on various topics late in the evening.\"\n35969,2020/08/24,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n35970,2020/08/24,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n35971,2020/08/25,I did hiking on 2020/08/25.,I did hiking on 2020/08/25.\n35972,2020/08/25,\"I had eggs, sausages, and bread for breakfast with Carter, Emily, Kayden\",\"I had eggs, sausages, and bread for breakfast with Carter, Emily, Kayden\"\n35973,2020/08/25,I ate indian food for lunch.,I ate indian food for lunch.\n35974,2020/08/25,I ate pasta for dinner.,I ate pasta for dinner.\n35975,2020/08/25,\"I talked to Lydia, Kinsley, Rylee, Eva for 15 minutes in the early evening.\",\"I talked to Lydia, Kinsley, Rylee, Eva for 15 minutes in the early evening.\"\n35976,2020/08/25,\"I talked to Layla, Hazel for 31 minutes late in the evening.\",\"I talked to Layla, Hazel for 31 minutes late in the evening.\"\n35977,2020/08/25,I talked to Eva for 15 minutes in the early afternoon.,I talked to Eva for 15 minutes in the early afternoon.\n35978,2020/08/25,\"I talked to Piper, Avery, Claire, Lydia for 35 minutes in the early evening.\",\"I talked to Piper, Avery, Claire, Lydia for 35 minutes in the early evening.\"\n35979,2020/08/25,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n35980,2020/08/25,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n35981,2020/08/26,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n35982,2020/08/26,\"I had steak for lunch with Benjamin, Jackson\",\"I had steak for lunch with Benjamin, Jackson\"\n35983,2020/08/26,\"I had dinner with Emily, Andrew, Kayden, Carter. I ate chinese food.\",\"I had dinner with Emily, Andrew, Kayden, Carter. I ate chinese food.\"\n35984,2020/08/26,\"I spent 9 talking to Eva, Layla, Piper on various topics in the early evening.\",\"I spent 9 talking to Eva, Layla, Piper on various topics in the early evening.\"\n35985,2020/08/26,I spent 10 talking to Eva on various topics in the early evening.,I spent 10 talking to Eva on various topics in the early evening.\n35986,2020/08/26,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n35987,2020/08/26,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n35988,2020/08/27,\"I went grocery shopping. I bought some peaches, nectarines, blackberries, pears, chocolate milk, and toilet paper, conditioner, body lotion\",\"I went grocery shopping. I bought some peaches, nectarines, blackberries, pears, chocolate milk, and toilet paper, conditioner, body lotion\"\n35989,2020/08/27,I did hiking on 2020/08/27.,I did hiking on 2020/08/27.\n35990,2020/08/27,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n35991,2020/08/27,\"I had lunch with Jackson, Willow, Benjamin, Avery. I ate steak.\",\"I had lunch with Jackson, Willow, Benjamin, Avery. I ate steak.\"\n35992,2020/08/27,I ate tacos for dinner.,I ate tacos for dinner.\n35993,2020/08/27,\"I talked to Nevaeh, Avery for 30 minutes in the morning.\",\"I talked to Nevaeh, Avery for 30 minutes in the morning.\"\n35994,2020/08/27,\"I talked to Hazel, Avery, Kinsley for 44 minutes in the early evening.\",\"I talked to Hazel, Avery, Kinsley for 44 minutes in the early evening.\"\n35995,2020/08/27,I spent 55 talking to Claire on various topics during lunch hours.,I spent 55 talking to Claire on various topics during lunch hours.\n35996,2020/08/27,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n35997,2020/08/27,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n35998,2020/08/28,I did weight lifting on 2020/08/28.,I did weight lifting on 2020/08/28.\n35999,2020/08/28,\"I had breakfast with Emily, Kayden. I ate oatmeal.\",\"I had breakfast with Emily, Kayden. I ate oatmeal.\"\n36000,2020/08/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n36001,2020/08/28,I prepare a burger for dinner.,I prepare a burger for dinner.\n36002,2020/08/28,\"I spent 13 talking to Nora, Claire on various topics in the late afternoon.\",\"I spent 13 talking to Nora, Claire on various topics in the late afternoon.\"\n36003,2020/08/28,\"I spent 7 talking to Kinsley, Avery, Eva on various topics during lunch hours.\",\"I spent 7 talking to Kinsley, Avery, Eva on various topics during lunch hours.\"\n36004,2020/08/28,I spent 17 talking to Avery on various topics in the late afternoon.,I spent 17 talking to Avery on various topics in the late afternoon.\n36005,2020/08/28,\"I talked to Layla, Hazel, Avery, Nevaeh for 28 minutes in the early afternoon.\",\"I talked to Layla, Hazel, Avery, Nevaeh for 28 minutes in the early afternoon.\"\n36006,2020/08/28,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n36007,2020/08/28,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n36008,2020/08/29,I did weight lifting on 2020/08/29.,I did weight lifting on 2020/08/29.\n36009,2020/08/29,I ate cereals for breakfast.,I ate cereals for breakfast.\n36010,2020/08/29,\"I had lunch with Nora, Layla, Claire, Kinsley, Piper, Lydia, Nevaeh, Eva, Hazel, Rylee, Avery, Olivia. I ate steak.\",\"I had lunch with Nora, Layla, Claire, Kinsley, Piper, Lydia, Nevaeh, Eva, Hazel, Rylee, Avery, Olivia. I ate steak.\"\n36011,2020/08/29,\"I had dinner with Nora, Rylee, Layla, Olivia, Lydia, Claire, Piper, Kinsley, Hazel, Avery, Eva, Piper. I ate chinese food.\",\"I had dinner with Nora, Rylee, Layla, Olivia, Lydia, Claire, Piper, Kinsley, Hazel, Avery, Eva, Piper. I ate chinese food.\"\n36012,2020/08/29,\"I talked to Layla, Claire for 25 minutes in the early afternoon.\",\"I talked to Layla, Claire for 25 minutes in the early afternoon.\"\n36013,2020/08/29,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n36014,2020/08/29,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n36015,2020/08/30,I did HIIT on 2020/08/30.,I did HIIT on 2020/08/30.\n36016,2020/08/30,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n36017,2020/08/30,I ate sushi for lunch.,I ate sushi for lunch.\n36018,2020/08/30,I had dinner with Emily. I ate sandwich.,I had dinner with Emily. I ate sandwich.\n36019,2020/08/30,\"I talked to Layla, Eva, Kinsley for 39 minutes in the late afternoon.\",\"I talked to Layla, Eva, Kinsley for 39 minutes in the late afternoon.\"\n36020,2020/08/30,\"I spent 11 talking to Avery, Nora, Claire, Piper on various topics in the early afternoon.\",\"I spent 11 talking to Avery, Nora, Claire, Piper on various topics in the early afternoon.\"\n36021,2020/08/30,I spent 23 talking to Nevaeh on various topics in the morning.,I spent 23 talking to Nevaeh on various topics in the morning.\n36022,2020/08/30,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n36023,2020/08/30,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n36024,2020/08/31,I was baking cream-filled bundt cake on 2020/08/31 with Carter at my place,I was baking cream-filled bundt cake on 2020/08/31 with Carter at my place\n36025,2020/08/31,I did biking on 2020/08/31.,I did biking on 2020/08/31.\n36026,2020/08/31,\"I had breakfast with Emily, Carter. I ate cereals.\",\"I had breakfast with Emily, Carter. I ate cereals.\"\n36027,2020/08/31,I prepare tacos for lunch.,I prepare tacos for lunch.\n36028,2020/08/31,I prepare indian food for dinner.,I prepare indian food for dinner.\n36029,2020/08/31,I talked to Claire for 35 minutes during lunch hours.,I talked to Claire for 35 minutes during lunch hours.\n36030,2020/08/31,\"I talked to Layla, Eva, Nora, Claire for 53 minutes in the early evening.\",\"I talked to Layla, Eva, Nora, Claire for 53 minutes in the early evening.\"\n36031,2020/08/31,\"I talked to Nora, Claire for 10 minutes in the early afternoon.\",\"I talked to Nora, Claire for 10 minutes in the early afternoon.\"\n36032,2020/08/31,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n36033,2020/08/31,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n36034,2020/09/01,I really enjoyed meditation on 2020/09/01,I really enjoyed meditation on 2020/09/01\n36035,2020/09/01,\"I went grocery shopping with Hazel, Kinsley, Nora, Piper, Olivia, Eva. I bought some mandarins, mineral water, sports drinks, orange juice, coffee, and toothpaste, shampoo, shaving cream, paper towel\",\"I went grocery shopping with Hazel, Kinsley, Nora, Piper, Olivia, Eva. I bought some mandarins, mineral water, sports drinks, orange juice, coffee, and toothpaste, shampoo, shaving cream, paper towel\"\n36036,2020/09/01,I did hiking on 2020/09/01.,I did hiking on 2020/09/01.\n36037,2020/09/01,I had breakfast with Benjamin. I ate peanut-butter-jam.,I had breakfast with Benjamin. I ate peanut-butter-jam.\n36038,2020/09/01,I ate sandwich for lunch.,I ate sandwich for lunch.\n36039,2020/09/01,I had dinner with Andrew. I ate chinese food.,I had dinner with Andrew. I ate chinese food.\n36040,2020/09/01,\"I talked to Lydia, Kinsley, Olivia for 20 minutes in the early afternoon.\",\"I talked to Lydia, Kinsley, Olivia for 20 minutes in the early afternoon.\"\n36041,2020/09/01,\"I talked to Olivia, Lydia, Nevaeh for 41 minutes in the morning.\",\"I talked to Olivia, Lydia, Nevaeh for 41 minutes in the morning.\"\n36042,2020/09/01,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n36043,2020/09/01,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n36044,2020/09/02,I did weight lifting on 2020/09/02.,I did weight lifting on 2020/09/02.\n36045,2020/09/02,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n36046,2020/09/02,I ate tacos for lunch.,I ate tacos for lunch.\n36047,2020/09/02,\"I had sushi for dinner with Carter, Emily, Andrew\",\"I had sushi for dinner with Carter, Emily, Andrew\"\n36048,2020/09/02,\"I talked to Kinsley, Lydia for 30 minutes in the early evening.\",\"I talked to Kinsley, Lydia for 30 minutes in the early evening.\"\n36049,2020/09/02,\"I talked to Eva, Lydia for 20 minutes in the late afternoon.\",\"I talked to Eva, Lydia for 20 minutes in the late afternoon.\"\n36050,2020/09/02,\"I spent 46 talking to Lydia, Claire on various topics late in the evening.\",\"I spent 46 talking to Lydia, Claire on various topics late in the evening.\"\n36051,2020/09/02,I spent 12 talking to Nora on various topics in the morning.,I spent 12 talking to Nora on various topics in the morning.\n36052,2020/09/02,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n36053,2020/09/02,I spent 24 minutes watching a movie on TV today.,I spent 24 minutes watching a movie on TV today.\n36054,2020/09/03,\"I really enjoyed cooking macaroni and cheese, ramen noodle stir-fry on 2020/09/03 with Emily, Carter, Andrew, Kayden at my place\",\"I really enjoyed cooking macaroni and cheese, ramen noodle stir-fry on 2020/09/03 with Emily, Carter, Andrew, Kayden at my place\"\n36055,2020/09/03,I really enjoyed working out on 2020/09/03,I really enjoyed working out on 2020/09/03\n36056,2020/09/03,\"I went grocery shopping with Benjamin, Jackson, Avery, Willow. I bought some pineapples, bananas, peaches, pears, mango juice, and facial wash, body lotion, paper towel, toilet paper\",\"I went grocery shopping with Benjamin, Jackson, Avery, Willow. I bought some pineapples, bananas, peaches, pears, mango juice, and facial wash, body lotion, paper towel, toilet paper\"\n36057,2020/09/03,I did running on 2020/09/03.,I did running on 2020/09/03.\n36058,2020/09/03,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n36059,2020/09/03,I ate sandwich for lunch.,I ate sandwich for lunch.\n36060,2020/09/03,\"I had dinner with Benjamin, Willow, Avery. I ate chinese food.\",\"I had dinner with Benjamin, Willow, Avery. I ate chinese food.\"\n36061,2020/09/03,\"I spent 5 talking to Claire, Eva, Layla, Olivia on various topics during lunch hours.\",\"I spent 5 talking to Claire, Eva, Layla, Olivia on various topics during lunch hours.\"\n36062,2020/09/03,I spent 14 talking to Kinsley on various topics late in the evening.,I spent 14 talking to Kinsley on various topics late in the evening.\n36063,2020/09/03,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n36064,2020/09/03,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n36065,2020/09/04,I did weight lifting on 2020/09/04.,I did weight lifting on 2020/09/04.\n36066,2020/09/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n36067,2020/09/04,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n36068,2020/09/04,I had dinner with Benjamin. I ate sandwich.,I had dinner with Benjamin. I ate sandwich.\n36069,2020/09/04,\"I spent 35 talking to Nevaeh, Kinsley on various topics late in the evening.\",\"I spent 35 talking to Nevaeh, Kinsley on various topics late in the evening.\"\n36070,2020/09/04,I talked to Hazel for 22 minutes in the early evening.,I talked to Hazel for 22 minutes in the early evening.\n36071,2020/09/04,I talked to Piper for 19 minutes late in the evening.,I talked to Piper for 19 minutes late in the evening.\n36072,2020/09/04,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n36073,2020/09/04,I spent 31 minutes watching a tv series on TV today.,I spent 31 minutes watching a tv series on TV today.\n36074,2020/09/05,\"I bought some nectarines, cherres, peaches, mineral water, coffee, milk, guava juice, shaving cream, paper towel, toothpaste, mouth wash from the grocery store. I saw Andrew, Carter, Emily at the grocery store.\",\"I bought some nectarines, cherres, peaches, mineral water, coffee, milk, guava juice, shaving cream, paper towel, toothpaste, mouth wash from the grocery store. I saw Andrew, Carter, Emily at the grocery store.\"\n36075,2020/09/05,I did swimming on 2020/09/05.,I did swimming on 2020/09/05.\n36076,2020/09/05,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n36077,2020/09/05,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n36078,2020/09/05,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n36079,2020/09/05,\"I talked to Lydia, Layla, Nora, Olivia for 43 minutes late in the evening.\",\"I talked to Lydia, Layla, Nora, Olivia for 43 minutes late in the evening.\"\n36080,2020/09/05,\"I talked to Eva, Nevaeh for 18 minutes late in the evening.\",\"I talked to Eva, Nevaeh for 18 minutes late in the evening.\"\n36081,2020/09/05,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n36082,2020/09/05,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n36083,2020/09/06,I did weight lifting on 2020/09/06.,I did weight lifting on 2020/09/06.\n36084,2020/09/06,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n36085,2020/09/06,I had pasta for lunch with Benjamin,I had pasta for lunch with Benjamin\n36086,2020/09/06,I had fish and chips for dinner with Willow,I had fish and chips for dinner with Willow\n36087,2020/09/06,\"I talked to Avery, Piper for 31 minutes during lunch hours.\",\"I talked to Avery, Piper for 31 minutes during lunch hours.\"\n36088,2020/09/06,\"I spent 47 talking to Avery, Nora, Claire, Layla on various topics late in the evening.\",\"I spent 47 talking to Avery, Nora, Claire, Layla on various topics late in the evening.\"\n36089,2020/09/06,\"I talked to Rylee, Lydia, Claire for 39 minutes in the morning.\",\"I talked to Rylee, Lydia, Claire for 39 minutes in the morning.\"\n36090,2020/09/06,\"I talked to Nora, Lydia for 23 minutes late in the evening.\",\"I talked to Nora, Lydia for 23 minutes late in the evening.\"\n36091,2020/09/06,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n36092,2020/09/06,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n36093,2020/09/07,I did biking on 2020/09/07.,I did biking on 2020/09/07.\n36094,2020/09/07,I had breakfast with Andrew. I ate toast and cheese.,I had breakfast with Andrew. I ate toast and cheese.\n36095,2020/09/07,\"I had indian food for lunch with Jackson, Benjamin\",\"I had indian food for lunch with Jackson, Benjamin\"\n36096,2020/09/07,I ate chinese food for dinner.,I ate chinese food for dinner.\n36097,2020/09/07,\"I spent 37 talking to Olivia, Rylee, Layla on various topics during lunch hours.\",\"I spent 37 talking to Olivia, Rylee, Layla on various topics during lunch hours.\"\n36098,2020/09/07,\"I talked to Hazel, Avery for 27 minutes during lunch hours.\",\"I talked to Hazel, Avery for 27 minutes during lunch hours.\"\n36099,2020/09/07,\"I spent 24 talking to Eva, Kinsley, Claire on various topics in the early evening.\",\"I spent 24 talking to Eva, Kinsley, Claire on various topics in the early evening.\"\n36100,2020/09/07,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n36101,2020/09/07,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n36102,2020/09/08,I went on a date with Rylee on 2020/09/08 at a boba shop,I went on a date with Rylee on 2020/09/08 at a boba shop\n36103,2020/09/08,I did hiking on 2020/09/08.,I did hiking on 2020/09/08.\n36104,2020/09/08,\"I had eggs, sausages, and bread for breakfast with Emily\",\"I had eggs, sausages, and bread for breakfast with Emily\"\n36105,2020/09/08,\"I had tacos for lunch with Kinsley, Rylee, Layla, Avery, Piper, Claire, Olivia, Eva, Nora, Nevaeh, Hazel, Piper\",\"I had tacos for lunch with Kinsley, Rylee, Layla, Avery, Piper, Claire, Olivia, Eva, Nora, Nevaeh, Hazel, Piper\"\n36106,2020/09/08,I had dinner with Willow. I ate sandwich.,I had dinner with Willow. I ate sandwich.\n36107,2020/09/08,\"I talked to Eva, Piper for 11 minutes in the early evening.\",\"I talked to Eva, Piper for 11 minutes in the early evening.\"\n36108,2020/09/08,\"I talked to Claire, Eva, Piper, Layla for 11 minutes in the early evening.\",\"I talked to Claire, Eva, Piper, Layla for 11 minutes in the early evening.\"\n36109,2020/09/08,\"I talked to Olivia, Piper, Rylee, Hazel for 45 minutes in the early afternoon.\",\"I talked to Olivia, Piper, Rylee, Hazel for 45 minutes in the early afternoon.\"\n36110,2020/09/08,\"I talked to Rylee, Piper, Nevaeh, Kinsley for 30 minutes during lunch hours.\",\"I talked to Rylee, Piper, Nevaeh, Kinsley for 30 minutes during lunch hours.\"\n36111,2020/09/08,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n36112,2020/09/08,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n36113,2020/09/09,\"I went grocery shopping with Piper. I bought some cherres, mineral water, and mouth wash\",\"I went grocery shopping with Piper. I bought some cherres, mineral water, and mouth wash\"\n36114,2020/09/09,\"I had breakfast with Willow, Benjamin, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Willow, Benjamin, Avery. I ate peanut-butter-jam.\"\n36115,2020/09/09,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n36116,2020/09/09,\"I had dinner with Piper, Olivia, Layla. I ate chinese food.\",\"I had dinner with Piper, Olivia, Layla. I ate chinese food.\"\n36117,2020/09/09,\"I talked to Piper, Piper for 51 minutes in the late afternoon.\",\"I talked to Piper, Piper for 51 minutes in the late afternoon.\"\n36118,2020/09/09,\"I talked to Kinsley, Hazel for 11 minutes in the morning.\",\"I talked to Kinsley, Hazel for 11 minutes in the morning.\"\n36119,2020/09/09,I spent 39 talking to Nevaeh on various topics in the early afternoon.,I spent 39 talking to Nevaeh on various topics in the early afternoon.\n36120,2020/09/09,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n36121,2020/09/09,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n36122,2020/09/10,I really enjoyed gardening on 2020/09/10,I really enjoyed gardening on 2020/09/10\n36123,2020/09/10,I did hiking on 2020/09/10.,I did hiking on 2020/09/10.\n36124,2020/09/10,I had pancakes for breakfast with Kayden,I had pancakes for breakfast with Kayden\n36125,2020/09/10,\"I had lunch with Piper, Claire. I ate indian food.\",\"I had lunch with Piper, Claire. I ate indian food.\"\n36126,2020/09/10,\"I had dinner with Emily, Andrew, Kayden, Carter. I ate fish and chips.\",\"I had dinner with Emily, Andrew, Kayden, Carter. I ate fish and chips.\"\n36127,2020/09/10,I talked to Olivia for 22 minutes during lunch hours.,I talked to Olivia for 22 minutes during lunch hours.\n36128,2020/09/10,\"I spent 39 talking to Hazel, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 39 talking to Hazel, Nevaeh, Piper on various topics in the early afternoon.\"\n36129,2020/09/10,\"I spent 19 talking to Hazel, Olivia on various topics in the early afternoon.\",\"I spent 19 talking to Hazel, Olivia on various topics in the early afternoon.\"\n36130,2020/09/10,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n36131,2020/09/10,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n36132,2020/09/11,\"On 2020/09/11, I took Charles on a date to a park\",\"On 2020/09/11, I took Charles on a date to a park\"\n36133,2020/09/11,I did running on 2020/09/11.,I did running on 2020/09/11.\n36134,2020/09/11,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n36135,2020/09/11,\"I had lunch with Kinsley, Hazel, Nora, Avery, Piper, Piper, Claire, Rylee, Nevaeh. I ate sandwich.\",\"I had lunch with Kinsley, Hazel, Nora, Avery, Piper, Piper, Claire, Rylee, Nevaeh. I ate sandwich.\"\n36136,2020/09/11,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n36137,2020/09/11,I talked to Claire for 33 minutes in the early evening.,I talked to Claire for 33 minutes in the early evening.\n36138,2020/09/11,I spent 11 talking to Lydia on various topics in the early afternoon.,I spent 11 talking to Lydia on various topics in the early afternoon.\n36139,2020/09/11,I talked to Kinsley for 34 minutes late in the evening.,I talked to Kinsley for 34 minutes late in the evening.\n36140,2020/09/11,\"I spent 7 talking to Claire, Piper on various topics during lunch hours.\",\"I spent 7 talking to Claire, Piper on various topics during lunch hours.\"\n36141,2020/09/11,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n36142,2020/09/11,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n36143,2020/09/12,I did biking on 2020/09/12.,I did biking on 2020/09/12.\n36144,2020/09/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n36145,2020/09/12,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n36146,2020/09/12,\"I had sushi for dinner with Carter, Andrew, Emily\",\"I had sushi for dinner with Carter, Andrew, Emily\"\n36147,2020/09/12,\"I spent 35 talking to Kinsley, Layla, Rylee, Nevaeh on various topics in the early afternoon.\",\"I spent 35 talking to Kinsley, Layla, Rylee, Nevaeh on various topics in the early afternoon.\"\n36148,2020/09/12,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n36149,2020/09/12,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n36150,2020/09/13,\"I went grocery shopping. I bought some blackberries, milk, mineral water, and shaving cream, mouth wash, shampoo\",\"I went grocery shopping. I bought some blackberries, milk, mineral water, and shaving cream, mouth wash, shampoo\"\n36151,2020/09/13,I did biking on 2020/09/13.,I did biking on 2020/09/13.\n36152,2020/09/13,\"I had breakfast with Kayden, Andrew. I ate pancakes.\",\"I had breakfast with Kayden, Andrew. I ate pancakes.\"\n36153,2020/09/13,I had sushi for lunch with Benjamin,I had sushi for lunch with Benjamin\n36154,2020/09/13,I prepare pasta for dinner.,I prepare pasta for dinner.\n36155,2020/09/13,\"I talked to Kinsley, Nevaeh for 32 minutes in the early evening.\",\"I talked to Kinsley, Nevaeh for 32 minutes in the early evening.\"\n36156,2020/09/13,\"I talked to Piper, Claire, Eva for 9 minutes during lunch hours.\",\"I talked to Piper, Claire, Eva for 9 minutes during lunch hours.\"\n36157,2020/09/13,\"I talked to Claire, Lydia, Avery for 27 minutes in the morning.\",\"I talked to Claire, Lydia, Avery for 27 minutes in the morning.\"\n36158,2020/09/13,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n36159,2020/09/13,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n36160,2020/09/14,I did running on 2020/09/14.,I did running on 2020/09/14.\n36161,2020/09/14,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n36162,2020/09/14,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n36163,2020/09/14,I ate a burger for dinner.,I ate a burger for dinner.\n36164,2020/09/14,\"I spent 19 talking to Layla, Claire, Piper on various topics late in the evening.\",\"I spent 19 talking to Layla, Claire, Piper on various topics late in the evening.\"\n36165,2020/09/14,\"I spent 42 talking to Eva, Avery, Nevaeh on various topics in the early evening.\",\"I spent 42 talking to Eva, Avery, Nevaeh on various topics in the early evening.\"\n36166,2020/09/14,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n36167,2020/09/14,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n36168,2020/09/15,I really enjoyed gardening on 2020/09/15,I really enjoyed gardening on 2020/09/15\n36169,2020/09/15,I did HIIT on 2020/09/15.,I did HIIT on 2020/09/15.\n36170,2020/09/15,I had pancakes for breakfast with Andrew,I had pancakes for breakfast with Andrew\n36171,2020/09/15,\"I had pasta for lunch with Kayden, Emily, Andrew\",\"I had pasta for lunch with Kayden, Emily, Andrew\"\n36172,2020/09/15,I had chinese food for dinner with Andrew,I had chinese food for dinner with Andrew\n36173,2020/09/15,\"I spent 52 talking to Nora, Hazel, Piper, Eva on various topics in the late afternoon.\",\"I spent 52 talking to Nora, Hazel, Piper, Eva on various topics in the late afternoon.\"\n36174,2020/09/15,\"I spent 46 talking to Layla, Rylee on various topics late in the evening.\",\"I spent 46 talking to Layla, Rylee on various topics late in the evening.\"\n36175,2020/09/15,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n36176,2020/09/15,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n36177,2020/09/16,\"I went grocery shopping with Carter, Emily. I bought some bananas, nectarines, mango juice, and mouthwash, toothbrush, shampoo, conditioner\",\"I went grocery shopping with Carter, Emily. I bought some bananas, nectarines, mango juice, and mouthwash, toothbrush, shampoo, conditioner\"\n36178,2020/09/16,I did weight lifting on 2020/09/16.,I did weight lifting on 2020/09/16.\n36179,2020/09/16,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n36180,2020/09/16,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n36181,2020/09/16,I prepare a burger for dinner.,I prepare a burger for dinner.\n36182,2020/09/16,I talked to Avery for 33 minutes in the late afternoon.,I talked to Avery for 33 minutes in the late afternoon.\n36183,2020/09/16,\"I spent 42 talking to Kinsley, Piper, Hazel, Layla on various topics late in the evening.\",\"I spent 42 talking to Kinsley, Piper, Hazel, Layla on various topics late in the evening.\"\n36184,2020/09/16,I talked to Lydia for 11 minutes in the morning.,I talked to Lydia for 11 minutes in the morning.\n36185,2020/09/16,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n36186,2020/09/16,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n36187,2020/09/17,I did weight lifting on 2020/09/17.,I did weight lifting on 2020/09/17.\n36188,2020/09/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n36189,2020/09/17,I prepare steak for lunch.,I prepare steak for lunch.\n36190,2020/09/17,I ate chinese food for dinner.,I ate chinese food for dinner.\n36191,2020/09/17,\"I spent 40 talking to Eva, Piper, Olivia, Rylee on various topics in the early evening.\",\"I spent 40 talking to Eva, Piper, Olivia, Rylee on various topics in the early evening.\"\n36192,2020/09/17,I spent 31 talking to Avery on various topics in the early evening.,I spent 31 talking to Avery on various topics in the early evening.\n36193,2020/09/17,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n36194,2020/09/17,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n36195,2020/09/18,I went on a date with Cameron on 2020/09/18 at a boba shop,I went on a date with Cameron on 2020/09/18 at a boba shop\n36196,2020/09/18,I did weight lifting on 2020/09/18.,I did weight lifting on 2020/09/18.\n36197,2020/09/18,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n36198,2020/09/18,I ate a burger for lunch.,I ate a burger for lunch.\n36199,2020/09/18,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n36200,2020/09/18,I talked to Claire for 24 minutes in the late afternoon.,I talked to Claire for 24 minutes in the late afternoon.\n36201,2020/09/18,I talked to Hazel for 25 minutes in the early evening.,I talked to Hazel for 25 minutes in the early evening.\n36202,2020/09/18,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n36203,2020/09/18,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n36204,2020/09/19,\"I went grocery shopping with Rylee, Lydia, Avery, Hazel, Nora, Eva, Claire, Piper. I bought some nectarines, guava, bananas, mangos, guava juice, and shampoo\",\"I went grocery shopping with Rylee, Lydia, Avery, Hazel, Nora, Eva, Claire, Piper. I bought some nectarines, guava, bananas, mangos, guava juice, and shampoo\"\n36205,2020/09/19,I did hiking on 2020/09/19.,I did hiking on 2020/09/19.\n36206,2020/09/19,\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate toast and cheese.\",\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate toast and cheese.\"\n36207,2020/09/19,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n36208,2020/09/19,\"I had steak for dinner with Carter, Andrew, Emily, Kayden\",\"I had steak for dinner with Carter, Andrew, Emily, Kayden\"\n36209,2020/09/19,\"I spent 36 talking to Eva, Lydia on various topics in the early afternoon.\",\"I spent 36 talking to Eva, Lydia on various topics in the early afternoon.\"\n36210,2020/09/19,\"I spent 55 talking to Piper, Hazel on various topics in the early afternoon.\",\"I spent 55 talking to Piper, Hazel on various topics in the early afternoon.\"\n36211,2020/09/19,\"I talked to Hazel, Lydia for 21 minutes in the morning.\",\"I talked to Hazel, Lydia for 21 minutes in the morning.\"\n36212,2020/09/19,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n36213,2020/09/19,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n36214,2020/09/20,I did hiking on 2020/09/20.,I did hiking on 2020/09/20.\n36215,2020/09/20,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n36216,2020/09/20,I had lunch. I ate steak.,I had lunch. I ate steak.\n36217,2020/09/20,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n36218,2020/09/20,\"I spent 23 talking to Hazel, Piper on various topics in the late afternoon.\",\"I spent 23 talking to Hazel, Piper on various topics in the late afternoon.\"\n36219,2020/09/20,I talked to Nora for 11 minutes late in the evening.,I talked to Nora for 11 minutes late in the evening.\n36220,2020/09/20,\"I spent 11 talking to Rylee, Olivia on various topics during lunch hours.\",\"I spent 11 talking to Rylee, Olivia on various topics during lunch hours.\"\n36221,2020/09/20,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n36222,2020/09/20,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n36223,2020/09/21,\"I had cereals for breakfast with Lydia, Eva, Claire, Kinsley, Hazel\",\"I had cereals for breakfast with Lydia, Eva, Claire, Kinsley, Hazel\"\n36224,2020/09/21,\"I had lunch with Emily, Carter. I ate tacos.\",\"I had lunch with Emily, Carter. I ate tacos.\"\n36225,2020/09/21,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n36226,2020/09/21,\"I spent 12 talking to Nevaeh, Avery, Nora, Eva on various topics in the early evening.\",\"I spent 12 talking to Nevaeh, Avery, Nora, Eva on various topics in the early evening.\"\n36227,2020/09/21,I spent 9 talking to Olivia on various topics during lunch hours.,I spent 9 talking to Olivia on various topics during lunch hours.\n36228,2020/09/21,\"I spent 33 talking to Claire, Avery, Lydia, Hazel on various topics during lunch hours.\",\"I spent 33 talking to Claire, Avery, Lydia, Hazel on various topics during lunch hours.\"\n36229,2020/09/21,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n36230,2020/09/21,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n36231,2020/09/22,I went on a date with Grayson on 2020/09/22 at a restaurant,I went on a date with Grayson on 2020/09/22 at a restaurant\n36232,2020/09/22,I did swimming on 2020/09/22.,I did swimming on 2020/09/22.\n36233,2020/09/22,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n36234,2020/09/22,I prepare pasta for lunch.,I prepare pasta for lunch.\n36235,2020/09/22,\"I had dinner with Jackson, Willow, Avery. I ate fish and chips.\",\"I had dinner with Jackson, Willow, Avery. I ate fish and chips.\"\n36236,2020/09/22,I talked to Eva for 23 minutes during lunch hours.,I talked to Eva for 23 minutes during lunch hours.\n36237,2020/09/22,\"I spent 54 talking to Lydia, Hazel, Piper, Kinsley on various topics late in the evening.\",\"I spent 54 talking to Lydia, Hazel, Piper, Kinsley on various topics late in the evening.\"\n36238,2020/09/22,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n36239,2020/09/22,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n36240,2020/09/23,I did swimming on 2020/09/23.,I did swimming on 2020/09/23.\n36241,2020/09/23,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n36242,2020/09/23,I ate indian food for lunch.,I ate indian food for lunch.\n36243,2020/09/23,\"I had dinner with Rylee, Nevaeh, Nora, Kinsley. I ate pasta.\",\"I had dinner with Rylee, Nevaeh, Nora, Kinsley. I ate pasta.\"\n36244,2020/09/23,\"I talked to Kinsley, Piper, Nora for 27 minutes in the late afternoon.\",\"I talked to Kinsley, Piper, Nora for 27 minutes in the late afternoon.\"\n36245,2020/09/23,\"I spent 53 talking to Eva, Claire, Olivia, Piper on various topics in the late afternoon.\",\"I spent 53 talking to Eva, Claire, Olivia, Piper on various topics in the late afternoon.\"\n36246,2020/09/23,\"I talked to Nevaeh, Kinsley for 10 minutes in the early evening.\",\"I talked to Nevaeh, Kinsley for 10 minutes in the early evening.\"\n36247,2020/09/23,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n36248,2020/09/23,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n36249,2020/09/24,I did biking on 2020/09/24.,I did biking on 2020/09/24.\n36250,2020/09/24,\"I had breakfast with Eva, Hazel, Kinsley, Avery, Rylee, Lydia, Piper, Nevaeh, Olivia. I ate peanut-butter-jam.\",\"I had breakfast with Eva, Hazel, Kinsley, Avery, Rylee, Lydia, Piper, Nevaeh, Olivia. I ate peanut-butter-jam.\"\n36251,2020/09/24,\"I had lunch with Emily, Kayden. I ate pasta.\",\"I had lunch with Emily, Kayden. I ate pasta.\"\n36252,2020/09/24,\"I had pasta for dinner with Benjamin, Avery, Jackson\",\"I had pasta for dinner with Benjamin, Avery, Jackson\"\n36253,2020/09/24,\"I spent 55 talking to Lydia, Claire, Rylee on various topics in the morning.\",\"I spent 55 talking to Lydia, Claire, Rylee on various topics in the morning.\"\n36254,2020/09/24,I talked to Avery for 16 minutes late in the evening.,I talked to Avery for 16 minutes late in the evening.\n36255,2020/09/24,I talked to Piper for 16 minutes in the early afternoon.,I talked to Piper for 16 minutes in the early afternoon.\n36256,2020/09/24,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n36257,2020/09/24,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n36258,2020/09/25,I went on a date with Grayson on 2020/09/25 at a restaurant,I went on a date with Grayson on 2020/09/25 at a restaurant\n36259,2020/09/25,I really enjoyed yoga on 2020/09/25,I really enjoyed yoga on 2020/09/25\n36260,2020/09/25,\"I went grocery shopping with Carter, Emily. I bought some cherres, oranges, blackberries, blueberries, guava juice, coffee, orange juice, chocolate milk, and toothbrush\",\"I went grocery shopping with Carter, Emily. I bought some cherres, oranges, blackberries, blueberries, guava juice, coffee, orange juice, chocolate milk, and toothbrush\"\n36261,2020/09/25,I did weight lifting on 2020/09/25.,I did weight lifting on 2020/09/25.\n36262,2020/09/25,\"I had pancakes for breakfast with Andrew, Emily\",\"I had pancakes for breakfast with Andrew, Emily\"\n36263,2020/09/25,I had sushi for lunch with Jackson,I had sushi for lunch with Jackson\n36264,2020/09/25,\"I had pasta for dinner with Kayden, Carter\",\"I had pasta for dinner with Kayden, Carter\"\n36265,2020/09/25,\"I talked to Nevaeh, Nora for 19 minutes late in the evening.\",\"I talked to Nevaeh, Nora for 19 minutes late in the evening.\"\n36266,2020/09/25,I talked to Rylee for 35 minutes during lunch hours.,I talked to Rylee for 35 minutes during lunch hours.\n36267,2020/09/25,I talked to Eva for 44 minutes late in the evening.,I talked to Eva for 44 minutes late in the evening.\n36268,2020/09/25,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n36269,2020/09/25,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n36270,2020/09/26,\"On 2020/09/26, I took Bella on a date to a coffee Shop\",\"On 2020/09/26, I took Bella on a date to a coffee Shop\"\n36271,2020/09/26,I did biking on 2020/09/26.,I did biking on 2020/09/26.\n36272,2020/09/26,\"I had breakfast with Carter, Kayden, Emily, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Kayden, Emily, Andrew. I ate eggs, sausages, and bread.\"\n36273,2020/09/26,\"I had lunch with Andrew, Kayden, Emily. I ate sandwich.\",\"I had lunch with Andrew, Kayden, Emily. I ate sandwich.\"\n36274,2020/09/26,\"I had dinner with Andrew, Emily, Carter. I ate tacos.\",\"I had dinner with Andrew, Emily, Carter. I ate tacos.\"\n36275,2020/09/26,\"I spent 48 talking to Piper, Kinsley on various topics in the early evening.\",\"I spent 48 talking to Piper, Kinsley on various topics in the early evening.\"\n36276,2020/09/26,I spent 44 talking to Eva on various topics in the early evening.,I spent 44 talking to Eva on various topics in the early evening.\n36277,2020/09/26,I talked to Claire for 48 minutes in the early afternoon.,I talked to Claire for 48 minutes in the early afternoon.\n36278,2020/09/26,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n36279,2020/09/26,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n36280,2020/09/27,I spent some time gardening on 2020/09/27.,I spent some time gardening on 2020/09/27.\n36281,2020/09/27,I did swimming on 2020/09/27.,I did swimming on 2020/09/27.\n36282,2020/09/27,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n36283,2020/09/27,\"I had lunch with Carter, Kayden, Andrew, Emily. I ate chinese food.\",\"I had lunch with Carter, Kayden, Andrew, Emily. I ate chinese food.\"\n36284,2020/09/27,I prepare pasta for dinner.,I prepare pasta for dinner.\n36285,2020/09/27,I spent 24 talking to Layla on various topics in the morning.,I spent 24 talking to Layla on various topics in the morning.\n36286,2020/09/27,\"I talked to Lydia, Piper for 10 minutes during lunch hours.\",\"I talked to Lydia, Piper for 10 minutes during lunch hours.\"\n36287,2020/09/27,I spent 6 talking to Layla on various topics in the early afternoon.,I spent 6 talking to Layla on various topics in the early afternoon.\n36288,2020/09/27,\"I talked to Hazel, Claire for 40 minutes during lunch hours.\",\"I talked to Hazel, Claire for 40 minutes during lunch hours.\"\n36289,2020/09/27,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n36290,2020/09/27,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n36291,2020/09/28,\"I went grocery shopping. I bought some watermelons, oranges, apples, nectarines, mango juice, sports drinks, coffee, apple juice, and mouthwash, toothpaste, mouth wash\",\"I went grocery shopping. I bought some watermelons, oranges, apples, nectarines, mango juice, sports drinks, coffee, apple juice, and mouthwash, toothpaste, mouth wash\"\n36292,2020/09/28,I did biking on 2020/09/28.,I did biking on 2020/09/28.\n36293,2020/09/28,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n36294,2020/09/28,I ate sandwich for lunch.,I ate sandwich for lunch.\n36295,2020/09/28,\"I had dinner with Hazel, Eva, Piper, Lydia, Claire, Rylee, Avery, Nora, Kinsley, Piper, Layla. I ate sandwich.\",\"I had dinner with Hazel, Eva, Piper, Lydia, Claire, Rylee, Avery, Nora, Kinsley, Piper, Layla. I ate sandwich.\"\n36296,2020/09/28,I talked to Piper for 45 minutes in the early afternoon.,I talked to Piper for 45 minutes in the early afternoon.\n36297,2020/09/28,I spent 36 talking to Layla on various topics in the early afternoon.,I spent 36 talking to Layla on various topics in the early afternoon.\n36298,2020/09/28,\"I spent 7 talking to Lydia, Piper on various topics in the morning.\",\"I spent 7 talking to Lydia, Piper on various topics in the morning.\"\n36299,2020/09/28,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n36300,2020/09/28,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n36301,2020/09/29,I did biking on 2020/09/29.,I did biking on 2020/09/29.\n36302,2020/09/29,I ate cereals for breakfast.,I ate cereals for breakfast.\n36303,2020/09/29,\"I had lunch with Kayden, Carter. I ate sushi.\",\"I had lunch with Kayden, Carter. I ate sushi.\"\n36304,2020/09/29,I ate indian food for dinner.,I ate indian food for dinner.\n36305,2020/09/29,\"I spent 9 talking to Kinsley, Nevaeh, Eva, Piper on various topics in the early afternoon.\",\"I spent 9 talking to Kinsley, Nevaeh, Eva, Piper on various topics in the early afternoon.\"\n36306,2020/09/29,\"I talked to Piper, Olivia, Eva, Kinsley for 32 minutes in the late afternoon.\",\"I talked to Piper, Olivia, Eva, Kinsley for 32 minutes in the late afternoon.\"\n36307,2020/09/29,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n36308,2020/09/29,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n36309,2020/09/30,I spent some time learning a language on 2020/09/30.,I spent some time learning a language on 2020/09/30.\n36310,2020/09/30,I did hiking on 2020/09/30.,I did hiking on 2020/09/30.\n36311,2020/09/30,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n36312,2020/09/30,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n36313,2020/09/30,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n36314,2020/09/30,\"I spent 9 talking to Kinsley, Nevaeh, Piper on various topics in the morning.\",\"I spent 9 talking to Kinsley, Nevaeh, Piper on various topics in the morning.\"\n36315,2020/09/30,I talked to Lydia for 51 minutes in the late afternoon.,I talked to Lydia for 51 minutes in the late afternoon.\n36316,2020/09/30,\"I spent 14 talking to Eva, Layla, Kinsley, Claire on various topics in the early afternoon.\",\"I spent 14 talking to Eva, Layla, Kinsley, Claire on various topics in the early afternoon.\"\n36317,2020/09/30,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n36318,2020/09/30,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n36319,2020/10/01,I did hiking on 2020/10/01.,I did hiking on 2020/10/01.\n36320,2020/10/01,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n36321,2020/10/01,I had lunch. I ate steak.,I had lunch. I ate steak.\n36322,2020/10/01,I had a burger for dinner with Jackson,I had a burger for dinner with Jackson\n36323,2020/10/01,I talked to Rylee for 24 minutes late in the evening.,I talked to Rylee for 24 minutes late in the evening.\n36324,2020/10/01,\"I talked to Hazel, Rylee, Lydia for 51 minutes in the morning.\",\"I talked to Hazel, Rylee, Lydia for 51 minutes in the morning.\"\n36325,2020/10/01,I talked to Rylee for 13 minutes in the early evening.,I talked to Rylee for 13 minutes in the early evening.\n36326,2020/10/01,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n36327,2020/10/01,I watched a documentary for 29 minutes on TV today.,I watched a documentary for 29 minutes on TV today.\n36328,2020/10/02,I did hiking on 2020/10/02.,I did hiking on 2020/10/02.\n36329,2020/10/02,\"I had breakfast with Nevaeh, Nora, Claire, Eva, Olivia, Layla, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Nevaeh, Nora, Claire, Eva, Olivia, Layla, Piper. I ate eggs, sausages, and bread.\"\n36330,2020/10/02,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n36331,2020/10/02,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n36332,2020/10/02,\"I talked to Eva, Piper, Nevaeh for 13 minutes in the early afternoon.\",\"I talked to Eva, Piper, Nevaeh for 13 minutes in the early afternoon.\"\n36333,2020/10/02,\"I spent 6 talking to Hazel, Layla on various topics late in the evening.\",\"I spent 6 talking to Hazel, Layla on various topics late in the evening.\"\n36334,2020/10/02,\"I talked to Lydia, Piper, Kinsley for 23 minutes in the early afternoon.\",\"I talked to Lydia, Piper, Kinsley for 23 minutes in the early afternoon.\"\n36335,2020/10/02,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n36336,2020/10/02,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n36337,2020/10/03,I did swimming on 2020/10/03.,I did swimming on 2020/10/03.\n36338,2020/10/03,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n36339,2020/10/03,I ate pasta for lunch.,I ate pasta for lunch.\n36340,2020/10/03,I prepare tacos for dinner.,I prepare tacos for dinner.\n36341,2020/10/03,\"I spent 51 talking to Piper, Eva on various topics in the early afternoon.\",\"I spent 51 talking to Piper, Eva on various topics in the early afternoon.\"\n36342,2020/10/03,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n36343,2020/10/03,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n36344,2020/10/04,\"I bought some apples, soda, shampoo, facial wash, mouth wash from the grocery store. I saw Claire, Olivia, Piper, Nevaeh, Kinsley, Eva, Piper, Avery, Rylee, Lydia at the grocery store.\",\"I bought some apples, soda, shampoo, facial wash, mouth wash from the grocery store. I saw Claire, Olivia, Piper, Nevaeh, Kinsley, Eva, Piper, Avery, Rylee, Lydia at the grocery store.\"\n36345,2020/10/04,I did swimming on 2020/10/04.,I did swimming on 2020/10/04.\n36346,2020/10/04,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n36347,2020/10/04,I had chinese food for lunch with Carter,I had chinese food for lunch with Carter\n36348,2020/10/04,I ate chinese food for dinner.,I ate chinese food for dinner.\n36349,2020/10/04,I talked to Layla for 16 minutes in the morning.,I talked to Layla for 16 minutes in the morning.\n36350,2020/10/04,\"I talked to Nevaeh, Piper, Kinsley for 49 minutes during lunch hours.\",\"I talked to Nevaeh, Piper, Kinsley for 49 minutes during lunch hours.\"\n36351,2020/10/04,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n36352,2020/10/04,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n36353,2020/10/05,I spent some time working out on 2020/10/05.,I spent some time working out on 2020/10/05.\n36354,2020/10/05,I had breakfast with Claire. I ate peanut-butter-jam.,I had breakfast with Claire. I ate peanut-butter-jam.\n36355,2020/10/05,I had indian food for lunch with Andrew,I had indian food for lunch with Andrew\n36356,2020/10/05,\"I had dinner with Claire, Nora, Avery, Lydia, Layla, Nevaeh, Hazel, Kinsley, Rylee, Eva, Olivia, Piper, Piper. I ate sandwich.\",\"I had dinner with Claire, Nora, Avery, Lydia, Layla, Nevaeh, Hazel, Kinsley, Rylee, Eva, Olivia, Piper, Piper. I ate sandwich.\"\n36357,2020/10/05,\"I talked to Piper, Kinsley for 16 minutes during lunch hours.\",\"I talked to Piper, Kinsley for 16 minutes during lunch hours.\"\n36358,2020/10/05,\"I talked to Olivia, Kinsley, Claire, Piper for 50 minutes in the morning.\",\"I talked to Olivia, Kinsley, Claire, Piper for 50 minutes in the morning.\"\n36359,2020/10/05,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n36360,2020/10/05,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n36361,2020/10/06,I did weight lifting on 2020/10/06.,I did weight lifting on 2020/10/06.\n36362,2020/10/06,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n36363,2020/10/06,I prepare indian food for lunch.,I prepare indian food for lunch.\n36364,2020/10/06,I ate pasta for dinner.,I ate pasta for dinner.\n36365,2020/10/06,\"I spent 42 talking to Avery, Nora, Hazel, Lydia on various topics in the morning.\",\"I spent 42 talking to Avery, Nora, Hazel, Lydia on various topics in the morning.\"\n36366,2020/10/06,\"I spent 27 talking to Kinsley, Piper on various topics during lunch hours.\",\"I spent 27 talking to Kinsley, Piper on various topics during lunch hours.\"\n36367,2020/10/06,\"I spent 21 talking to Layla, Eva on various topics late in the evening.\",\"I spent 21 talking to Layla, Eva on various topics late in the evening.\"\n36368,2020/10/06,I spent 14 talking to Nevaeh on various topics during lunch hours.,I spent 14 talking to Nevaeh on various topics during lunch hours.\n36369,2020/10/06,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n36370,2020/10/06,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n36371,2020/10/07,I did weight lifting on 2020/10/07.,I did weight lifting on 2020/10/07.\n36372,2020/10/07,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n36373,2020/10/07,I prepare a burger for lunch.,I prepare a burger for lunch.\n36374,2020/10/07,I prepare tacos for dinner.,I prepare tacos for dinner.\n36375,2020/10/07,\"I spent 16 talking to Lydia, Kinsley on various topics in the morning.\",\"I spent 16 talking to Lydia, Kinsley on various topics in the morning.\"\n36376,2020/10/07,\"I spent 47 talking to Piper, Claire, Piper, Layla on various topics in the early evening.\",\"I spent 47 talking to Piper, Claire, Piper, Layla on various topics in the early evening.\"\n36377,2020/10/07,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n36378,2020/10/07,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n36379,2020/10/08,I did biking on 2020/10/08.,I did biking on 2020/10/08.\n36380,2020/10/08,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n36381,2020/10/08,I had lunch with Avery. I ate sushi.,I had lunch with Avery. I ate sushi.\n36382,2020/10/08,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n36383,2020/10/08,\"I talked to Olivia, Nevaeh, Nora, Claire for 32 minutes in the late afternoon.\",\"I talked to Olivia, Nevaeh, Nora, Claire for 32 minutes in the late afternoon.\"\n36384,2020/10/08,\"I spent 46 talking to Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 46 talking to Nevaeh, Piper on various topics in the early afternoon.\"\n36385,2020/10/08,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n36386,2020/10/08,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n36387,2020/10/09,I did HIIT on 2020/10/09.,I did HIIT on 2020/10/09.\n36388,2020/10/09,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n36389,2020/10/09,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n36390,2020/10/09,I prepare a burger for dinner.,I prepare a burger for dinner.\n36391,2020/10/09,\"I spent 26 talking to Lydia, Rylee, Kinsley, Eva on various topics in the early evening.\",\"I spent 26 talking to Lydia, Rylee, Kinsley, Eva on various topics in the early evening.\"\n36392,2020/10/09,\"I talked to Eva, Lydia, Layla for 43 minutes in the early evening.\",\"I talked to Eva, Lydia, Layla for 43 minutes in the early evening.\"\n36393,2020/10/09,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n36394,2020/10/09,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n36395,2020/10/10,\"I was baking vegan sugar cookies on 2020/10/10 with Kayden, Andrew, Carter, Emily at my place\",\"I was baking vegan sugar cookies on 2020/10/10 with Kayden, Andrew, Carter, Emily at my place\"\n36396,2020/10/10,I did running on 2020/10/10.,I did running on 2020/10/10.\n36397,2020/10/10,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n36398,2020/10/10,I ate indian food for lunch.,I ate indian food for lunch.\n36399,2020/10/10,I prepare steak for dinner.,I prepare steak for dinner.\n36400,2020/10/10,\"I talked to Piper, Eva, Hazel, Kinsley for 27 minutes late in the evening.\",\"I talked to Piper, Eva, Hazel, Kinsley for 27 minutes late in the evening.\"\n36401,2020/10/10,I talked to Nora for 23 minutes during lunch hours.,I talked to Nora for 23 minutes during lunch hours.\n36402,2020/10/10,\"I talked to Eva, Nevaeh for 34 minutes in the late afternoon.\",\"I talked to Eva, Nevaeh for 34 minutes in the late afternoon.\"\n36403,2020/10/10,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n36404,2020/10/10,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n36405,2020/10/11,I spent some time working out on 2020/10/11.,I spent some time working out on 2020/10/11.\n36406,2020/10/11,\"I bought some mandarins, apples, raspberries, pears, pineapple juice, toothbrush online.\",\"I bought some mandarins, apples, raspberries, pears, pineapple juice, toothbrush online.\"\n36407,2020/10/11,I did weight lifting on 2020/10/11.,I did weight lifting on 2020/10/11.\n36408,2020/10/11,\"I had breakfast with Carter, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Kayden. I ate eggs, sausages, and bread.\"\n36409,2020/10/11,\"I had lunch with Willow, Jackson, Benjamin, Avery. I ate pasta.\",\"I had lunch with Willow, Jackson, Benjamin, Avery. I ate pasta.\"\n36410,2020/10/11,I ate indian food for dinner.,I ate indian food for dinner.\n36411,2020/10/11,\"I talked to Nevaeh, Lydia for 19 minutes in the early afternoon.\",\"I talked to Nevaeh, Lydia for 19 minutes in the early afternoon.\"\n36412,2020/10/11,\"I talked to Kinsley, Rylee, Olivia, Eva for 11 minutes late in the evening.\",\"I talked to Kinsley, Rylee, Olivia, Eva for 11 minutes late in the evening.\"\n36413,2020/10/11,\"I spent 32 talking to Nora, Claire on various topics in the morning.\",\"I spent 32 talking to Nora, Claire on various topics in the morning.\"\n36414,2020/10/11,\"I talked to Layla, Piper for 37 minutes in the late afternoon.\",\"I talked to Layla, Piper for 37 minutes in the late afternoon.\"\n36415,2020/10/11,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n36416,2020/10/11,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n36417,2020/10/12,I did weight lifting on 2020/10/12.,I did weight lifting on 2020/10/12.\n36418,2020/10/12,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n36419,2020/10/12,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n36420,2020/10/12,\"I had a burger for dinner with Kayden, Carter, Andrew\",\"I had a burger for dinner with Kayden, Carter, Andrew\"\n36421,2020/10/12,\"I talked to Hazel, Olivia, Rylee for 13 minutes in the early afternoon.\",\"I talked to Hazel, Olivia, Rylee for 13 minutes in the early afternoon.\"\n36422,2020/10/12,I spent 23 talking to Hazel on various topics in the early evening.,I spent 23 talking to Hazel on various topics in the early evening.\n36423,2020/10/12,\"I talked to Nora, Olivia, Nevaeh, Avery for 47 minutes during lunch hours.\",\"I talked to Nora, Olivia, Nevaeh, Avery for 47 minutes during lunch hours.\"\n36424,2020/10/12,\"I spent 38 talking to Olivia, Avery on various topics in the early evening.\",\"I spent 38 talking to Olivia, Avery on various topics in the early evening.\"\n36425,2020/10/12,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n36426,2020/10/12,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n36427,2020/10/13,I did swimming on 2020/10/13.,I did swimming on 2020/10/13.\n36428,2020/10/13,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n36429,2020/10/13,\"I had lunch with Emily, Carter, Andrew, Kayden. I ate chinese food.\",\"I had lunch with Emily, Carter, Andrew, Kayden. I ate chinese food.\"\n36430,2020/10/13,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n36431,2020/10/13,\"I spent 34 talking to Kinsley, Avery, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 34 talking to Kinsley, Avery, Piper, Nevaeh on various topics in the late afternoon.\"\n36432,2020/10/13,\"I talked to Avery, Eva, Claire for 40 minutes in the early afternoon.\",\"I talked to Avery, Eva, Claire for 40 minutes in the early afternoon.\"\n36433,2020/10/13,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n36434,2020/10/13,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n36435,2020/10/14,I did weight lifting on 2020/10/14.,I did weight lifting on 2020/10/14.\n36436,2020/10/14,\"I had breakfast with Carter, Andrew, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Andrew, Emily. I ate peanut-butter-jam.\"\n36437,2020/10/14,I had steak for lunch with Emily,I had steak for lunch with Emily\n36438,2020/10/14,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n36439,2020/10/14,\"I talked to Kinsley, Nora, Olivia, Rylee for 46 minutes in the early evening.\",\"I talked to Kinsley, Nora, Olivia, Rylee for 46 minutes in the early evening.\"\n36440,2020/10/14,\"I spent 14 talking to Olivia, Piper on various topics late in the evening.\",\"I spent 14 talking to Olivia, Piper on various topics late in the evening.\"\n36441,2020/10/14,\"I talked to Avery, Piper for 10 minutes in the morning.\",\"I talked to Avery, Piper for 10 minutes in the morning.\"\n36442,2020/10/14,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n36443,2020/10/14,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n36444,2020/10/15,\"I entertained Carter, Kayden at my place on 2020/10/15 and bake pistachio oat squares, dessert nachos, easy chocolate marshmallow cups\",\"I entertained Carter, Kayden at my place on 2020/10/15 and bake pistachio oat squares, dessert nachos, easy chocolate marshmallow cups\"\n36445,2020/10/15,I spent some time working out on 2020/10/15.,I spent some time working out on 2020/10/15.\n36446,2020/10/15,I did weight lifting on 2020/10/15.,I did weight lifting on 2020/10/15.\n36447,2020/10/15,\"I had peanut-butter-jam for breakfast with Benjamin, Avery, Jackson, Willow\",\"I had peanut-butter-jam for breakfast with Benjamin, Avery, Jackson, Willow\"\n36448,2020/10/15,\"I had lunch with Claire, Eva, Lydia, Nora, Piper, Kinsley, Piper. I ate sandwich.\",\"I had lunch with Claire, Eva, Lydia, Nora, Piper, Kinsley, Piper. I ate sandwich.\"\n36449,2020/10/15,I had sandwich for dinner with Kayden,I had sandwich for dinner with Kayden\n36450,2020/10/15,\"I talked to Eva, Piper, Rylee, Olivia for 55 minutes late in the evening.\",\"I talked to Eva, Piper, Rylee, Olivia for 55 minutes late in the evening.\"\n36451,2020/10/15,\"I talked to Claire, Eva, Piper, Layla for 37 minutes in the early evening.\",\"I talked to Claire, Eva, Piper, Layla for 37 minutes in the early evening.\"\n36452,2020/10/15,\"I spent 52 talking to Piper, Rylee on various topics in the late afternoon.\",\"I spent 52 talking to Piper, Rylee on various topics in the late afternoon.\"\n36453,2020/10/15,\"I spent 35 talking to Avery, Kinsley on various topics in the late afternoon.\",\"I spent 35 talking to Avery, Kinsley on various topics in the late afternoon.\"\n36454,2020/10/15,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n36455,2020/10/15,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n36456,2020/10/16,\"I went grocery shopping. I bought some pineapples, tea, coffee, and shampoo, facial wash, mouthwash\",\"I went grocery shopping. I bought some pineapples, tea, coffee, and shampoo, facial wash, mouthwash\"\n36457,2020/10/16,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n36458,2020/10/16,\"I had lunch with Emily, Andrew. I ate chinese food.\",\"I had lunch with Emily, Andrew. I ate chinese food.\"\n36459,2020/10/16,I had dinner. I ate steak.,I had dinner. I ate steak.\n36460,2020/10/16,\"I talked to Kinsley, Hazel, Nevaeh for 11 minutes late in the evening.\",\"I talked to Kinsley, Hazel, Nevaeh for 11 minutes late in the evening.\"\n36461,2020/10/16,\"I talked to Eva, Nora, Layla for 18 minutes late in the evening.\",\"I talked to Eva, Nora, Layla for 18 minutes late in the evening.\"\n36462,2020/10/16,I spent 48 talking to Eva on various topics late in the evening.,I spent 48 talking to Eva on various topics late in the evening.\n36463,2020/10/16,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n36464,2020/10/16,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n36465,2020/10/17,I spent time learning a language on 2020/10/17 with Nevaeh.,I spent time learning a language on 2020/10/17 with Nevaeh.\n36466,2020/10/17,I did hiking on 2020/10/17.,I did hiking on 2020/10/17.\n36467,2020/10/17,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n36468,2020/10/17,I ate indian food for lunch.,I ate indian food for lunch.\n36469,2020/10/17,I prepare sushi for dinner.,I prepare sushi for dinner.\n36470,2020/10/17,I spent 11 talking to Nora on various topics in the early afternoon.,I spent 11 talking to Nora on various topics in the early afternoon.\n36471,2020/10/17,\"I talked to Layla, Kinsley, Olivia for 9 minutes in the early evening.\",\"I talked to Layla, Kinsley, Olivia for 9 minutes in the early evening.\"\n36472,2020/10/17,I spent 23 talking to Piper on various topics during lunch hours.,I spent 23 talking to Piper on various topics during lunch hours.\n36473,2020/10/17,\"I talked to Nora, Piper for 22 minutes late in the evening.\",\"I talked to Nora, Piper for 22 minutes late in the evening.\"\n36474,2020/10/17,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n36475,2020/10/17,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n36476,2020/10/18,I did HIIT on 2020/10/18.,I did HIIT on 2020/10/18.\n36477,2020/10/18,\"I had eggs, sausages, and bread for breakfast with Kayden, Andrew, Carter, Emily\",\"I had eggs, sausages, and bread for breakfast with Kayden, Andrew, Carter, Emily\"\n36478,2020/10/18,I prepare sushi for lunch.,I prepare sushi for lunch.\n36479,2020/10/18,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n36480,2020/10/18,I talked to Eva for 8 minutes in the early evening.,I talked to Eva for 8 minutes in the early evening.\n36481,2020/10/18,\"I talked to Lydia, Nora, Nevaeh for 36 minutes in the morning.\",\"I talked to Lydia, Nora, Nevaeh for 36 minutes in the morning.\"\n36482,2020/10/18,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n36483,2020/10/18,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n36484,2020/10/19,I did hiking on 2020/10/19.,I did hiking on 2020/10/19.\n36485,2020/10/19,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n36486,2020/10/19,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n36487,2020/10/19,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n36488,2020/10/19,I spent 36 talking to Nora on various topics late in the evening.,I spent 36 talking to Nora on various topics late in the evening.\n36489,2020/10/19,I spent 45 talking to Nora on various topics in the late afternoon.,I spent 45 talking to Nora on various topics in the late afternoon.\n36490,2020/10/19,I talked to Hazel for 11 minutes in the early evening.,I talked to Hazel for 11 minutes in the early evening.\n36491,2020/10/19,\"I spent 11 talking to Avery, Kinsley on various topics late in the evening.\",\"I spent 11 talking to Avery, Kinsley on various topics late in the evening.\"\n36492,2020/10/19,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n36493,2020/10/19,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n36494,2020/10/20,I did hiking on 2020/10/20.,I did hiking on 2020/10/20.\n36495,2020/10/20,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n36496,2020/10/20,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n36497,2020/10/20,I prepare indian food for dinner.,I prepare indian food for dinner.\n36498,2020/10/20,\"I talked to Piper, Piper, Eva, Avery for 7 minutes during lunch hours.\",\"I talked to Piper, Piper, Eva, Avery for 7 minutes during lunch hours.\"\n36499,2020/10/20,\"I talked to Nevaeh, Lydia, Hazel for 45 minutes in the late afternoon.\",\"I talked to Nevaeh, Lydia, Hazel for 45 minutes in the late afternoon.\"\n36500,2020/10/20,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n36501,2020/10/20,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n36502,2020/10/21,I did hiking on 2020/10/21.,I did hiking on 2020/10/21.\n36503,2020/10/21,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n36504,2020/10/21,I had sandwich for lunch with Emily,I had sandwich for lunch with Emily\n36505,2020/10/21,I ate steak for dinner.,I ate steak for dinner.\n36506,2020/10/21,\"I talked to Lydia, Piper for 28 minutes during lunch hours.\",\"I talked to Lydia, Piper for 28 minutes during lunch hours.\"\n36507,2020/10/21,I talked to Eva for 11 minutes during lunch hours.,I talked to Eva for 11 minutes during lunch hours.\n36508,2020/10/21,\"I talked to Hazel, Nora for 40 minutes in the early evening.\",\"I talked to Hazel, Nora for 40 minutes in the early evening.\"\n36509,2020/10/21,\"I spent 45 talking to Nora, Olivia, Avery, Lydia on various topics during lunch hours.\",\"I spent 45 talking to Nora, Olivia, Avery, Lydia on various topics during lunch hours.\"\n36510,2020/10/21,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n36511,2020/10/21,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n36512,2020/10/22,I did biking on 2020/10/22.,I did biking on 2020/10/22.\n36513,2020/10/22,\"I had breakfast with Claire, Piper, Kinsley, Eva, Nevaeh, Lydia, Rylee, Piper. I ate cereals.\",\"I had breakfast with Claire, Piper, Kinsley, Eva, Nevaeh, Lydia, Rylee, Piper. I ate cereals.\"\n36514,2020/10/22,I ate a burger for lunch.,I ate a burger for lunch.\n36515,2020/10/22,I ate pasta for dinner.,I ate pasta for dinner.\n36516,2020/10/22,\"I talked to Rylee, Nora, Kinsley for 24 minutes in the early afternoon.\",\"I talked to Rylee, Nora, Kinsley for 24 minutes in the early afternoon.\"\n36517,2020/10/22,\"I spent 7 talking to Rylee, Nevaeh on various topics in the morning.\",\"I spent 7 talking to Rylee, Nevaeh on various topics in the morning.\"\n36518,2020/10/22,I spent 51 talking to Olivia on various topics in the morning.,I spent 51 talking to Olivia on various topics in the morning.\n36519,2020/10/22,\"I spent 52 talking to Rylee, Layla, Hazel on various topics during lunch hours.\",\"I spent 52 talking to Rylee, Layla, Hazel on various topics during lunch hours.\"\n36520,2020/10/22,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n36521,2020/10/22,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n36522,2020/10/23,\"I spent time yoga on 2020/10/23 with Piper, Avery, Nora.\",\"I spent time yoga on 2020/10/23 with Piper, Avery, Nora.\"\n36523,2020/10/23,I did swimming on 2020/10/23.,I did swimming on 2020/10/23.\n36524,2020/10/23,\"I had breakfast with Andrew, Carter, Emily. I ate cereals.\",\"I had breakfast with Andrew, Carter, Emily. I ate cereals.\"\n36525,2020/10/23,\"I had lunch with Olivia, Rylee, Piper, Hazel, Kinsley, Avery, Piper. I ate sandwich.\",\"I had lunch with Olivia, Rylee, Piper, Hazel, Kinsley, Avery, Piper. I ate sandwich.\"\n36526,2020/10/23,I ate tacos for dinner.,I ate tacos for dinner.\n36527,2020/10/23,\"I spent 54 talking to Kinsley, Claire on various topics late in the evening.\",\"I spent 54 talking to Kinsley, Claire on various topics late in the evening.\"\n36528,2020/10/23,\"I talked to Olivia, Nora, Hazel for 48 minutes in the late afternoon.\",\"I talked to Olivia, Nora, Hazel for 48 minutes in the late afternoon.\"\n36529,2020/10/23,\"I spent 55 talking to Claire, Eva, Lydia on various topics during lunch hours.\",\"I spent 55 talking to Claire, Eva, Lydia on various topics during lunch hours.\"\n36530,2020/10/23,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n36531,2020/10/23,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n36532,2020/10/24,I did HIIT on 2020/10/24.,I did HIIT on 2020/10/24.\n36533,2020/10/24,\"I had breakfast with Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily. I ate eggs, sausages, and bread.\"\n36534,2020/10/24,I had lunch. I ate steak.,I had lunch. I ate steak.\n36535,2020/10/24,I had dinner with Carter. I ate sushi.,I had dinner with Carter. I ate sushi.\n36536,2020/10/24,I talked to Lydia for 34 minutes during lunch hours.,I talked to Lydia for 34 minutes during lunch hours.\n36537,2020/10/24,\"I talked to Rylee, Layla, Olivia, Nora for 41 minutes in the early evening.\",\"I talked to Rylee, Layla, Olivia, Nora for 41 minutes in the early evening.\"\n36538,2020/10/24,I spent 46 talking to Nora on various topics in the late afternoon.,I spent 46 talking to Nora on various topics in the late afternoon.\n36539,2020/10/24,I talked to Kinsley for 39 minutes during lunch hours.,I talked to Kinsley for 39 minutes during lunch hours.\n36540,2020/10/24,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n36541,2020/10/24,I watched news for 51 minutes on TV today.,I watched news for 51 minutes on TV today.\n36542,2020/10/25,I did HIIT on 2020/10/25.,I did HIIT on 2020/10/25.\n36543,2020/10/25,\"I had breakfast with Benjamin, Willow. I ate oatmeal.\",\"I had breakfast with Benjamin, Willow. I ate oatmeal.\"\n36544,2020/10/25,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n36545,2020/10/25,I ate pasta for dinner.,I ate pasta for dinner.\n36546,2020/10/25,I talked to Layla for 6 minutes late in the evening.,I talked to Layla for 6 minutes late in the evening.\n36547,2020/10/25,\"I talked to Claire, Lydia for 28 minutes during lunch hours.\",\"I talked to Claire, Lydia for 28 minutes during lunch hours.\"\n36548,2020/10/25,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n36549,2020/10/25,I spent 30 minutes watching a movie on TV today.,I spent 30 minutes watching a movie on TV today.\n36550,2020/10/26,I did swimming on 2020/10/26.,I did swimming on 2020/10/26.\n36551,2020/10/26,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n36552,2020/10/26,\"I had pasta for lunch with Andrew, Carter, Kayden\",\"I had pasta for lunch with Andrew, Carter, Kayden\"\n36553,2020/10/26,\"I had sushi for dinner with Jackson, Willow, Benjamin, Avery\",\"I had sushi for dinner with Jackson, Willow, Benjamin, Avery\"\n36554,2020/10/26,\"I spent 42 talking to Kinsley, Eva on various topics in the morning.\",\"I spent 42 talking to Kinsley, Eva on various topics in the morning.\"\n36555,2020/10/26,\"I spent 32 talking to Kinsley, Olivia, Hazel on various topics in the early evening.\",\"I spent 32 talking to Kinsley, Olivia, Hazel on various topics in the early evening.\"\n36556,2020/10/26,I spent 11 talking to Lydia on various topics in the late afternoon.,I spent 11 talking to Lydia on various topics in the late afternoon.\n36557,2020/10/26,\"I spent 24 talking to Nevaeh, Piper, Kinsley, Lydia on various topics in the late afternoon.\",\"I spent 24 talking to Nevaeh, Piper, Kinsley, Lydia on various topics in the late afternoon.\"\n36558,2020/10/26,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n36559,2020/10/26,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n36560,2020/10/27,I went on a date with Audrey on 2020/10/27 at a restaurant,I went on a date with Audrey on 2020/10/27 at a restaurant\n36561,2020/10/27,\"I went grocery shopping. I bought some pears, guava juice, apple juice, and conditioner, toothbrush, shampoo\",\"I went grocery shopping. I bought some pears, guava juice, apple juice, and conditioner, toothbrush, shampoo\"\n36562,2020/10/27,I did running on 2020/10/27.,I did running on 2020/10/27.\n36563,2020/10/27,\"I had eggs, sausages, and bread for breakfast with Emily, Carter\",\"I had eggs, sausages, and bread for breakfast with Emily, Carter\"\n36564,2020/10/27,\"I had tacos for lunch with Jackson, Avery, Willow\",\"I had tacos for lunch with Jackson, Avery, Willow\"\n36565,2020/10/27,I ate chinese food for dinner.,I ate chinese food for dinner.\n36566,2020/10/27,\"I talked to Rylee, Nora, Claire, Piper for 8 minutes in the early afternoon.\",\"I talked to Rylee, Nora, Claire, Piper for 8 minutes in the early afternoon.\"\n36567,2020/10/27,\"I talked to Nora, Kinsley, Hazel for 11 minutes in the early evening.\",\"I talked to Nora, Kinsley, Hazel for 11 minutes in the early evening.\"\n36568,2020/10/27,I spent 12 talking to Lydia on various topics in the early evening.,I spent 12 talking to Lydia on various topics in the early evening.\n36569,2020/10/27,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n36570,2020/10/27,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n36571,2020/10/28,\"On 2020/10/28, I took William on a date to a boba shop\",\"On 2020/10/28, I took William on a date to a boba shop\"\n36572,2020/10/28,I did biking on 2020/10/28.,I did biking on 2020/10/28.\n36573,2020/10/28,\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Carter, Emily\",\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Carter, Emily\"\n36574,2020/10/28,\"I had lunch with Emily, Carter, Andrew. I ate indian food.\",\"I had lunch with Emily, Carter, Andrew. I ate indian food.\"\n36575,2020/10/28,I ate tacos for dinner.,I ate tacos for dinner.\n36576,2020/10/28,\"I talked to Rylee, Eva, Claire, Kinsley for 53 minutes in the morning.\",\"I talked to Rylee, Eva, Claire, Kinsley for 53 minutes in the morning.\"\n36577,2020/10/28,\"I spent 38 talking to Avery, Rylee, Nevaeh, Hazel on various topics in the early evening.\",\"I spent 38 talking to Avery, Rylee, Nevaeh, Hazel on various topics in the early evening.\"\n36578,2020/10/28,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n36579,2020/10/28,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n36580,2020/10/29,I did biking on 2020/10/29.,I did biking on 2020/10/29.\n36581,2020/10/29,\"I had breakfast with Carter, Kayden, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Kayden, Emily. I ate peanut-butter-jam.\"\n36582,2020/10/29,\"I had fish and chips for lunch with Piper, Nevaeh, Olivia, Avery\",\"I had fish and chips for lunch with Piper, Nevaeh, Olivia, Avery\"\n36583,2020/10/29,I had pasta for dinner with Carter,I had pasta for dinner with Carter\n36584,2020/10/29,\"I talked to Nora, Claire for 15 minutes during lunch hours.\",\"I talked to Nora, Claire for 15 minutes during lunch hours.\"\n36585,2020/10/29,\"I spent 25 talking to Piper, Nevaeh, Lydia on various topics late in the evening.\",\"I spent 25 talking to Piper, Nevaeh, Lydia on various topics late in the evening.\"\n36586,2020/10/29,\"I spent 38 talking to Layla, Eva, Nora, Nevaeh on various topics in the late afternoon.\",\"I spent 38 talking to Layla, Eva, Nora, Nevaeh on various topics in the late afternoon.\"\n36587,2020/10/29,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n36588,2020/10/29,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n36589,2020/10/30,I did hiking on 2020/10/30.,I did hiking on 2020/10/30.\n36590,2020/10/30,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n36591,2020/10/30,I ate a burger for lunch.,I ate a burger for lunch.\n36592,2020/10/30,\"I had dinner with Andrew, Carter. I ate tacos.\",\"I had dinner with Andrew, Carter. I ate tacos.\"\n36593,2020/10/30,I talked to Olivia for 21 minutes in the late afternoon.,I talked to Olivia for 21 minutes in the late afternoon.\n36594,2020/10/30,\"I spent 31 talking to Nora, Eva on various topics in the early afternoon.\",\"I spent 31 talking to Nora, Eva on various topics in the early afternoon.\"\n36595,2020/10/30,\"I spent 15 talking to Piper, Nora, Olivia on various topics in the late afternoon.\",\"I spent 15 talking to Piper, Nora, Olivia on various topics in the late afternoon.\"\n36596,2020/10/30,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n36597,2020/10/30,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n36598,2020/10/31,I did swimming on 2020/10/31.,I did swimming on 2020/10/31.\n36599,2020/10/31,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n36600,2020/10/31,\"I had lunch with Carter, Kayden, Andrew. I ate steak.\",\"I had lunch with Carter, Kayden, Andrew. I ate steak.\"\n36601,2020/10/31,I prepare pasta for dinner.,I prepare pasta for dinner.\n36602,2020/10/31,\"I spent 5 talking to Piper, Lydia, Eva on various topics late in the evening.\",\"I spent 5 talking to Piper, Lydia, Eva on various topics late in the evening.\"\n36603,2020/10/31,I talked to Piper for 26 minutes during lunch hours.,I talked to Piper for 26 minutes during lunch hours.\n36604,2020/10/31,I talked to Lydia for 52 minutes in the late afternoon.,I talked to Lydia for 52 minutes in the late afternoon.\n36605,2020/10/31,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n36606,2020/10/31,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n36607,2020/11/01,I did HIIT on 2020/11/01.,I did HIIT on 2020/11/01.\n36608,2020/11/01,\"I had oatmeal for breakfast with Emily, Carter, Kayden\",\"I had oatmeal for breakfast with Emily, Carter, Kayden\"\n36609,2020/11/01,\"I had lunch with Andrew, Kayden. I ate sushi.\",\"I had lunch with Andrew, Kayden. I ate sushi.\"\n36610,2020/11/01,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n36611,2020/11/01,\"I talked to Lydia, Nevaeh, Kinsley for 28 minutes in the late afternoon.\",\"I talked to Lydia, Nevaeh, Kinsley for 28 minutes in the late afternoon.\"\n36612,2020/11/01,\"I talked to Nora, Kinsley, Piper, Claire for 22 minutes in the late afternoon.\",\"I talked to Nora, Kinsley, Piper, Claire for 22 minutes in the late afternoon.\"\n36613,2020/11/01,I talked to Piper for 34 minutes late in the evening.,I talked to Piper for 34 minutes late in the evening.\n36614,2020/11/01,I spent 6 minutes on social media today.,I spent 6 minutes on social media today.\n36615,2020/11/01,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n36616,2020/11/02,\"I went grocery shopping with Carter, Emily. I bought some mangos, blackberries, pears, tea, and mouthwash, body lotion\",\"I went grocery shopping with Carter, Emily. I bought some mangos, blackberries, pears, tea, and mouthwash, body lotion\"\n36617,2020/11/02,I did HIIT on 2020/11/02.,I did HIIT on 2020/11/02.\n36618,2020/11/02,\"I had breakfast with Carter, Emily, Kayden, Andrew. I ate toast and cheese.\",\"I had breakfast with Carter, Emily, Kayden, Andrew. I ate toast and cheese.\"\n36619,2020/11/02,I prepare a burger for lunch.,I prepare a burger for lunch.\n36620,2020/11/02,\"I had dinner with Hazel, Piper, Piper, Nevaeh, Avery, Layla, Kinsley, Eva. I ate sushi.\",\"I had dinner with Hazel, Piper, Piper, Nevaeh, Avery, Layla, Kinsley, Eva. I ate sushi.\"\n36621,2020/11/02,\"I spent 20 talking to Kinsley, Piper, Lydia on various topics in the early evening.\",\"I spent 20 talking to Kinsley, Piper, Lydia on various topics in the early evening.\"\n36622,2020/11/02,\"I talked to Lydia, Nevaeh, Kinsley, Rylee for 35 minutes in the morning.\",\"I talked to Lydia, Nevaeh, Kinsley, Rylee for 35 minutes in the morning.\"\n36623,2020/11/02,I talked to Claire for 35 minutes in the morning.,I talked to Claire for 35 minutes in the morning.\n36624,2020/11/02,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n36625,2020/11/02,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n36626,2020/11/03,I did swimming on 2020/11/03.,I did swimming on 2020/11/03.\n36627,2020/11/03,I ate cereals for breakfast.,I ate cereals for breakfast.\n36628,2020/11/03,I had lunch with Andrew. I ate tacos.,I had lunch with Andrew. I ate tacos.\n36629,2020/11/03,\"I had dinner with Carter, Kayden, Emily, Andrew. I ate pasta.\",\"I had dinner with Carter, Kayden, Emily, Andrew. I ate pasta.\"\n36630,2020/11/03,\"I talked to Kinsley, Rylee for 27 minutes during lunch hours.\",\"I talked to Kinsley, Rylee for 27 minutes during lunch hours.\"\n36631,2020/11/03,\"I spent 15 talking to Piper, Eva, Kinsley on various topics late in the evening.\",\"I spent 15 talking to Piper, Eva, Kinsley on various topics late in the evening.\"\n36632,2020/11/03,\"I talked to Rylee, Avery, Kinsley for 20 minutes in the late afternoon.\",\"I talked to Rylee, Avery, Kinsley for 20 minutes in the late afternoon.\"\n36633,2020/11/03,\"I talked to Claire, Kinsley, Eva for 17 minutes in the early afternoon.\",\"I talked to Claire, Kinsley, Eva for 17 minutes in the early afternoon.\"\n36634,2020/11/03,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n36635,2020/11/03,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n36636,2020/11/04,I did running on 2020/11/04.,I did running on 2020/11/04.\n36637,2020/11/04,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n36638,2020/11/04,I prepare tacos for lunch.,I prepare tacos for lunch.\n36639,2020/11/04,I ate chinese food for dinner.,I ate chinese food for dinner.\n36640,2020/11/04,\"I talked to Kinsley, Layla for 38 minutes late in the evening.\",\"I talked to Kinsley, Layla for 38 minutes late in the evening.\"\n36641,2020/11/04,\"I spent 28 talking to Avery, Kinsley, Piper on various topics in the early evening.\",\"I spent 28 talking to Avery, Kinsley, Piper on various topics in the early evening.\"\n36642,2020/11/04,\"I spent 41 talking to Piper, Kinsley, Rylee, Eva on various topics in the early evening.\",\"I spent 41 talking to Piper, Kinsley, Rylee, Eva on various topics in the early evening.\"\n36643,2020/11/04,I talked to Layla for 54 minutes in the early evening.,I talked to Layla for 54 minutes in the early evening.\n36644,2020/11/04,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n36645,2020/11/04,I watched a documentary for 41 minutes on TV today.,I watched a documentary for 41 minutes on TV today.\n36646,2020/11/05,\"I spent time learning a language on 2020/11/05 with Emily, Carter, Kayden.\",\"I spent time learning a language on 2020/11/05 with Emily, Carter, Kayden.\"\n36647,2020/11/05,I did hiking on 2020/11/05.,I did hiking on 2020/11/05.\n36648,2020/11/05,\"I had toast and cheese for breakfast with Andrew, Carter, Kayden, Emily\",\"I had toast and cheese for breakfast with Andrew, Carter, Kayden, Emily\"\n36649,2020/11/05,\"I had sushi for lunch with Emily, Carter\",\"I had sushi for lunch with Emily, Carter\"\n36650,2020/11/05,\"I had fish and chips for dinner with Willow, Benjamin, Avery\",\"I had fish and chips for dinner with Willow, Benjamin, Avery\"\n36651,2020/11/05,\"I talked to Olivia, Eva, Piper for 43 minutes in the early evening.\",\"I talked to Olivia, Eva, Piper for 43 minutes in the early evening.\"\n36652,2020/11/05,\"I spent 51 talking to Nevaeh, Piper, Eva, Avery on various topics in the late afternoon.\",\"I spent 51 talking to Nevaeh, Piper, Eva, Avery on various topics in the late afternoon.\"\n36653,2020/11/05,\"I spent 6 talking to Rylee, Layla on various topics during lunch hours.\",\"I spent 6 talking to Rylee, Layla on various topics during lunch hours.\"\n36654,2020/11/05,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n36655,2020/11/05,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n36656,2020/11/06,\"On 2020/11/06, I took Ian on a date to a coffee Shop\",\"On 2020/11/06, I took Ian on a date to a coffee Shop\"\n36657,2020/11/06,I did weight lifting on 2020/11/06.,I did weight lifting on 2020/11/06.\n36658,2020/11/06,\"I had pancakes for breakfast with Nora, Lydia, Hazel, Nevaeh, Layla, Eva, Claire, Kinsley, Rylee\",\"I had pancakes for breakfast with Nora, Lydia, Hazel, Nevaeh, Layla, Eva, Claire, Kinsley, Rylee\"\n36659,2020/11/06,\"I had tacos for lunch with Piper, Piper, Lydia, Eva, Avery, Hazel, Layla\",\"I had tacos for lunch with Piper, Piper, Lydia, Eva, Avery, Hazel, Layla\"\n36660,2020/11/06,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n36661,2020/11/06,\"I spent 40 talking to Lydia, Nevaeh on various topics in the late afternoon.\",\"I spent 40 talking to Lydia, Nevaeh on various topics in the late afternoon.\"\n36662,2020/11/06,\"I spent 18 talking to Kinsley, Hazel, Claire, Rylee on various topics in the early evening.\",\"I spent 18 talking to Kinsley, Hazel, Claire, Rylee on various topics in the early evening.\"\n36663,2020/11/06,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n36664,2020/11/06,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n36665,2020/11/07,I really enjoyed yoga on 2020/11/07,I really enjoyed yoga on 2020/11/07\n36666,2020/11/07,I did biking on 2020/11/07.,I did biking on 2020/11/07.\n36667,2020/11/07,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n36668,2020/11/07,I prepare pasta for lunch.,I prepare pasta for lunch.\n36669,2020/11/07,I prepare tacos for dinner.,I prepare tacos for dinner.\n36670,2020/11/07,\"I spent 30 talking to Piper, Rylee on various topics in the morning.\",\"I spent 30 talking to Piper, Rylee on various topics in the morning.\"\n36671,2020/11/07,I spent 29 talking to Claire on various topics during lunch hours.,I spent 29 talking to Claire on various topics during lunch hours.\n36672,2020/11/07,\"I spent 54 talking to Eva, Kinsley, Rylee, Piper on various topics late in the evening.\",\"I spent 54 talking to Eva, Kinsley, Rylee, Piper on various topics late in the evening.\"\n36673,2020/11/07,I talked to Nora for 15 minutes in the late afternoon.,I talked to Nora for 15 minutes in the late afternoon.\n36674,2020/11/07,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n36675,2020/11/07,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n36676,2020/11/08,\"I went grocery shopping with Kayden, Andrew, Emily, Carter. I bought some peaches, mandarins, strawberries, apples, tea, and conditioner, paper towel\",\"I went grocery shopping with Kayden, Andrew, Emily, Carter. I bought some peaches, mandarins, strawberries, apples, tea, and conditioner, paper towel\"\n36677,2020/11/08,I did HIIT on 2020/11/08.,I did HIIT on 2020/11/08.\n36678,2020/11/08,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n36679,2020/11/08,\"I had lunch with Rylee, Lydia, Nora, Kinsley, Claire, Piper, Avery, Piper, Olivia. I ate indian food.\",\"I had lunch with Rylee, Lydia, Nora, Kinsley, Claire, Piper, Avery, Piper, Olivia. I ate indian food.\"\n36680,2020/11/08,\"I had dinner with Andrew, Kayden, Carter. I ate steak.\",\"I had dinner with Andrew, Kayden, Carter. I ate steak.\"\n36681,2020/11/08,\"I talked to Piper, Kinsley, Claire for 12 minutes late in the evening.\",\"I talked to Piper, Kinsley, Claire for 12 minutes late in the evening.\"\n36682,2020/11/08,\"I spent 35 talking to Claire, Lydia, Piper on various topics in the early evening.\",\"I spent 35 talking to Claire, Lydia, Piper on various topics in the early evening.\"\n36683,2020/11/08,\"I talked to Piper, Layla for 54 minutes in the early afternoon.\",\"I talked to Piper, Layla for 54 minutes in the early afternoon.\"\n36684,2020/11/08,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n36685,2020/11/08,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n36686,2020/11/09,I did biking on 2020/11/09.,I did biking on 2020/11/09.\n36687,2020/11/09,I ate cereals for breakfast.,I ate cereals for breakfast.\n36688,2020/11/09,I prepare pasta for lunch.,I prepare pasta for lunch.\n36689,2020/11/09,\"I had indian food for dinner with Andrew, Kayden, Emily, Carter\",\"I had indian food for dinner with Andrew, Kayden, Emily, Carter\"\n36690,2020/11/09,\"I spent 27 talking to Claire, Piper on various topics in the early evening.\",\"I spent 27 talking to Claire, Piper on various topics in the early evening.\"\n36691,2020/11/09,I talked to Layla for 51 minutes in the early afternoon.,I talked to Layla for 51 minutes in the early afternoon.\n36692,2020/11/09,\"I talked to Nora, Kinsley for 45 minutes late in the evening.\",\"I talked to Nora, Kinsley for 45 minutes late in the evening.\"\n36693,2020/11/09,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n36694,2020/11/09,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n36695,2020/11/10,I did running on 2020/11/10.,I did running on 2020/11/10.\n36696,2020/11/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n36697,2020/11/10,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n36698,2020/11/10,I prepare steak for dinner.,I prepare steak for dinner.\n36699,2020/11/10,\"I talked to Rylee, Avery, Layla, Kinsley for 53 minutes during lunch hours.\",\"I talked to Rylee, Avery, Layla, Kinsley for 53 minutes during lunch hours.\"\n36700,2020/11/10,\"I spent 16 talking to Layla, Nora on various topics in the early afternoon.\",\"I spent 16 talking to Layla, Nora on various topics in the early afternoon.\"\n36701,2020/11/10,\"I spent 9 talking to Nora, Eva, Hazel, Rylee on various topics in the early evening.\",\"I spent 9 talking to Nora, Eva, Hazel, Rylee on various topics in the early evening.\"\n36702,2020/11/10,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n36703,2020/11/10,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n36704,2020/11/11,I did swimming on 2020/11/11.,I did swimming on 2020/11/11.\n36705,2020/11/11,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n36706,2020/11/11,I ate sandwich for lunch.,I ate sandwich for lunch.\n36707,2020/11/11,\"I had dinner with Andrew, Emily, Carter. I ate tacos.\",\"I had dinner with Andrew, Emily, Carter. I ate tacos.\"\n36708,2020/11/11,\"I spent 30 talking to Kinsley, Olivia, Avery on various topics in the morning.\",\"I spent 30 talking to Kinsley, Olivia, Avery on various topics in the morning.\"\n36709,2020/11/11,\"I spent 43 talking to Piper, Kinsley, Hazel on various topics during lunch hours.\",\"I spent 43 talking to Piper, Kinsley, Hazel on various topics during lunch hours.\"\n36710,2020/11/11,\"I talked to Nora, Kinsley for 32 minutes in the morning.\",\"I talked to Nora, Kinsley for 32 minutes in the morning.\"\n36711,2020/11/11,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n36712,2020/11/11,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n36713,2020/11/12,I did biking on 2020/11/12.,I did biking on 2020/11/12.\n36714,2020/11/12,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n36715,2020/11/12,I ate steak for lunch.,I ate steak for lunch.\n36716,2020/11/12,I prepare a burger for dinner.,I prepare a burger for dinner.\n36717,2020/11/12,I talked to Eva for 14 minutes in the morning.,I talked to Eva for 14 minutes in the morning.\n36718,2020/11/12,\"I talked to Claire, Piper, Rylee for 53 minutes in the morning.\",\"I talked to Claire, Piper, Rylee for 53 minutes in the morning.\"\n36719,2020/11/12,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n36720,2020/11/12,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n36721,2020/11/13,\"On 2020/11/13, I took Santiago  on a date to a park\",\"On 2020/11/13, I took Santiago  on a date to a park\"\n36722,2020/11/13,I did weight lifting on 2020/11/13.,I did weight lifting on 2020/11/13.\n36723,2020/11/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n36724,2020/11/13,I ate chinese food for lunch.,I ate chinese food for lunch.\n36725,2020/11/13,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n36726,2020/11/13,\"I spent 36 talking to Claire, Piper, Kinsley on various topics in the late afternoon.\",\"I spent 36 talking to Claire, Piper, Kinsley on various topics in the late afternoon.\"\n36727,2020/11/13,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n36728,2020/11/13,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n36729,2020/11/14,I spent some time gardening on 2020/11/14.,I spent some time gardening on 2020/11/14.\n36730,2020/11/14,\"I went grocery shopping. I bought some blackberries, apples, watermelons, coffee, mango juice, sports drinks, and shampoo, paper towel, facial wash, body lotion\",\"I went grocery shopping. I bought some blackberries, apples, watermelons, coffee, mango juice, sports drinks, and shampoo, paper towel, facial wash, body lotion\"\n36731,2020/11/14,I did biking on 2020/11/14.,I did biking on 2020/11/14.\n36732,2020/11/14,\"I had breakfast with Piper, Rylee, Layla, Eva, Nora, Olivia, Lydia. I ate pancakes.\",\"I had breakfast with Piper, Rylee, Layla, Eva, Nora, Olivia, Lydia. I ate pancakes.\"\n36733,2020/11/14,I prepare indian food for lunch.,I prepare indian food for lunch.\n36734,2020/11/14,\"I had a burger for dinner with Kayden, Andrew, Carter, Emily\",\"I had a burger for dinner with Kayden, Andrew, Carter, Emily\"\n36735,2020/11/14,\"I talked to Layla, Piper, Olivia, Nevaeh for 8 minutes in the late afternoon.\",\"I talked to Layla, Piper, Olivia, Nevaeh for 8 minutes in the late afternoon.\"\n36736,2020/11/14,I talked to Lydia for 52 minutes in the morning.,I talked to Lydia for 52 minutes in the morning.\n36737,2020/11/14,\"I spent 42 talking to Kinsley, Nora, Rylee, Piper on various topics in the early evening.\",\"I spent 42 talking to Kinsley, Nora, Rylee, Piper on various topics in the early evening.\"\n36738,2020/11/14,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n36739,2020/11/14,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n36740,2020/11/15,I did running on 2020/11/15.,I did running on 2020/11/15.\n36741,2020/11/15,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n36742,2020/11/15,I had tacos for lunch with Carter,I had tacos for lunch with Carter\n36743,2020/11/15,I ate tacos for dinner.,I ate tacos for dinner.\n36744,2020/11/15,I talked to Piper for 46 minutes in the late afternoon.,I talked to Piper for 46 minutes in the late afternoon.\n36745,2020/11/15,\"I talked to Nevaeh, Avery, Piper, Hazel for 17 minutes in the early evening.\",\"I talked to Nevaeh, Avery, Piper, Hazel for 17 minutes in the early evening.\"\n36746,2020/11/15,\"I spent 27 talking to Olivia, Hazel, Piper, Avery on various topics during lunch hours.\",\"I spent 27 talking to Olivia, Hazel, Piper, Avery on various topics during lunch hours.\"\n36747,2020/11/15,I spent 27 talking to Avery on various topics late in the evening.,I spent 27 talking to Avery on various topics late in the evening.\n36748,2020/11/15,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n36749,2020/11/15,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n36750,2020/11/16,\"On 2020/11/16, I took Jade on a date to a restaurant\",\"On 2020/11/16, I took Jade on a date to a restaurant\"\n36751,2020/11/16,I did HIIT on 2020/11/16.,I did HIIT on 2020/11/16.\n36752,2020/11/16,\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate oatmeal.\",\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate oatmeal.\"\n36753,2020/11/16,\"I had lunch with Andrew, Emily, Carter. I ate chinese food.\",\"I had lunch with Andrew, Emily, Carter. I ate chinese food.\"\n36754,2020/11/16,I ate indian food for dinner.,I ate indian food for dinner.\n36755,2020/11/16,\"I spent 47 talking to Eva, Layla, Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 47 talking to Eva, Layla, Piper, Nevaeh on various topics in the early afternoon.\"\n36756,2020/11/16,\"I spent 24 talking to Rylee, Nora, Claire, Nevaeh on various topics during lunch hours.\",\"I spent 24 talking to Rylee, Nora, Claire, Nevaeh on various topics during lunch hours.\"\n36757,2020/11/16,\"I talked to Layla, Piper, Avery for 50 minutes in the morning.\",\"I talked to Layla, Piper, Avery for 50 minutes in the morning.\"\n36758,2020/11/16,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n36759,2020/11/16,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n36760,2020/11/17,I did hiking on 2020/11/17.,I did hiking on 2020/11/17.\n36761,2020/11/17,I ate cereals for breakfast.,I ate cereals for breakfast.\n36762,2020/11/17,I had indian food for lunch with Kayden,I had indian food for lunch with Kayden\n36763,2020/11/17,I prepare sushi for dinner.,I prepare sushi for dinner.\n36764,2020/11/17,\"I spent 36 talking to Rylee, Nora, Hazel on various topics in the early evening.\",\"I spent 36 talking to Rylee, Nora, Hazel on various topics in the early evening.\"\n36765,2020/11/17,\"I spent 46 talking to Kinsley, Olivia, Eva on various topics during lunch hours.\",\"I spent 46 talking to Kinsley, Olivia, Eva on various topics during lunch hours.\"\n36766,2020/11/17,\"I talked to Kinsley, Olivia for 27 minutes in the early afternoon.\",\"I talked to Kinsley, Olivia for 27 minutes in the early afternoon.\"\n36767,2020/11/17,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n36768,2020/11/17,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n36769,2020/11/18,\"I had toast and cheese for breakfast with Hazel, Lydia, Piper\",\"I had toast and cheese for breakfast with Hazel, Lydia, Piper\"\n36770,2020/11/18,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n36771,2020/11/18,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n36772,2020/11/18,\"I spent 52 talking to Eva, Hazel, Layla on various topics during lunch hours.\",\"I spent 52 talking to Eva, Hazel, Layla on various topics during lunch hours.\"\n36773,2020/11/18,\"I spent 8 talking to Piper, Kinsley, Rylee on various topics in the morning.\",\"I spent 8 talking to Piper, Kinsley, Rylee on various topics in the morning.\"\n36774,2020/11/18,\"I talked to Eva, Claire, Nevaeh, Olivia for 15 minutes in the morning.\",\"I talked to Eva, Claire, Nevaeh, Olivia for 15 minutes in the morning.\"\n36775,2020/11/18,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n36776,2020/11/18,I watched news for 35 minutes on TV today.,I watched news for 35 minutes on TV today.\n36777,2020/11/19,\"I bought some pineapples, nectarines, guava juice, tea, chocolate milk, pineapple juice, mouthwash, paper towel, toothbrush, facial wash from the grocery store. I saw Rylee, Olivia, Piper, Layla, Nevaeh, Kinsley, Lydia at the grocery store.\",\"I bought some pineapples, nectarines, guava juice, tea, chocolate milk, pineapple juice, mouthwash, paper towel, toothbrush, facial wash from the grocery store. I saw Rylee, Olivia, Piper, Layla, Nevaeh, Kinsley, Lydia at the grocery store.\"\n36778,2020/11/19,I did running on 2020/11/19.,I did running on 2020/11/19.\n36779,2020/11/19,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n36780,2020/11/19,I ate sandwich for lunch.,I ate sandwich for lunch.\n36781,2020/11/19,\"I had sushi for dinner with Kayden, Emily\",\"I had sushi for dinner with Kayden, Emily\"\n36782,2020/11/19,I talked to Olivia for 17 minutes late in the evening.,I talked to Olivia for 17 minutes late in the evening.\n36783,2020/11/19,I spent 46 talking to Layla on various topics late in the evening.,I spent 46 talking to Layla on various topics late in the evening.\n36784,2020/11/19,I spent 21 talking to Lydia on various topics late in the evening.,I spent 21 talking to Lydia on various topics late in the evening.\n36785,2020/11/19,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n36786,2020/11/19,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n36787,2020/11/20,\"On 2020/11/20, I took Quinn on a date to a boba shop\",\"On 2020/11/20, I took Quinn on a date to a boba shop\"\n36788,2020/11/20,I really enjoyed working out on 2020/11/20,I really enjoyed working out on 2020/11/20\n36789,2020/11/20,I did hiking on 2020/11/20.,I did hiking on 2020/11/20.\n36790,2020/11/20,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n36791,2020/11/20,I ate tacos for lunch.,I ate tacos for lunch.\n36792,2020/11/20,I ate sandwich for dinner.,I ate sandwich for dinner.\n36793,2020/11/20,\"I talked to Avery, Rylee, Eva, Kinsley for 33 minutes late in the evening.\",\"I talked to Avery, Rylee, Eva, Kinsley for 33 minutes late in the evening.\"\n36794,2020/11/20,\"I spent 30 talking to Kinsley, Rylee, Claire on various topics during lunch hours.\",\"I spent 30 talking to Kinsley, Rylee, Claire on various topics during lunch hours.\"\n36795,2020/11/20,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n36796,2020/11/20,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n36797,2020/11/21,I spent some time gardening on 2020/11/21.,I spent some time gardening on 2020/11/21.\n36798,2020/11/21,\"I bought some nectarines, cherres, pineapples, oranges, apple juice, mouth wash, paper towel, mouthwash online.\",\"I bought some nectarines, cherres, pineapples, oranges, apple juice, mouth wash, paper towel, mouthwash online.\"\n36799,2020/11/21,I did weight lifting on 2020/11/21.,I did weight lifting on 2020/11/21.\n36800,2020/11/21,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n36801,2020/11/21,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n36802,2020/11/21,I ate chinese food for dinner.,I ate chinese food for dinner.\n36803,2020/11/21,\"I talked to Eva, Rylee, Lydia, Olivia for 21 minutes in the early evening.\",\"I talked to Eva, Rylee, Lydia, Olivia for 21 minutes in the early evening.\"\n36804,2020/11/21,\"I talked to Claire, Piper, Rylee, Eva for 10 minutes in the late afternoon.\",\"I talked to Claire, Piper, Rylee, Eva for 10 minutes in the late afternoon.\"\n36805,2020/11/21,I talked to Piper for 47 minutes in the morning.,I talked to Piper for 47 minutes in the morning.\n36806,2020/11/21,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n36807,2020/11/21,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n36808,2020/11/22,I did biking on 2020/11/22.,I did biking on 2020/11/22.\n36809,2020/11/22,\"I had cereals for breakfast with Hazel, Nora, Olivia, Avery, Nevaeh, Rylee\",\"I had cereals for breakfast with Hazel, Nora, Olivia, Avery, Nevaeh, Rylee\"\n36810,2020/11/22,\"I had lunch with Layla, Nevaeh, Piper, Lydia, Olivia, Hazel, Eva, Avery, Kinsley, Claire. I ate pasta.\",\"I had lunch with Layla, Nevaeh, Piper, Lydia, Olivia, Hazel, Eva, Avery, Kinsley, Claire. I ate pasta.\"\n36811,2020/11/22,I had dinner with Willow. I ate chinese food.,I had dinner with Willow. I ate chinese food.\n36812,2020/11/22,\"I spent 52 talking to Lydia, Rylee, Olivia, Avery on various topics in the late afternoon.\",\"I spent 52 talking to Lydia, Rylee, Olivia, Avery on various topics in the late afternoon.\"\n36813,2020/11/22,I talked to Kinsley for 55 minutes in the late afternoon.,I talked to Kinsley for 55 minutes in the late afternoon.\n36814,2020/11/22,I spent 55 talking to Avery on various topics late in the evening.,I spent 55 talking to Avery on various topics late in the evening.\n36815,2020/11/22,\"I spent 7 talking to Rylee, Piper, Layla, Avery on various topics during lunch hours.\",\"I spent 7 talking to Rylee, Piper, Layla, Avery on various topics during lunch hours.\"\n36816,2020/11/22,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n36817,2020/11/22,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n36818,2020/11/23,\"On 2020/11/23, I took Silas on a date to a restaurant\",\"On 2020/11/23, I took Silas on a date to a restaurant\"\n36819,2020/11/23,I did weight lifting on 2020/11/23.,I did weight lifting on 2020/11/23.\n36820,2020/11/23,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n36821,2020/11/23,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n36822,2020/11/23,I ate pasta for dinner.,I ate pasta for dinner.\n36823,2020/11/23,I spent 53 talking to Layla on various topics in the early evening.,I spent 53 talking to Layla on various topics in the early evening.\n36824,2020/11/23,\"I spent 40 talking to Avery, Claire, Piper, Hazel on various topics during lunch hours.\",\"I spent 40 talking to Avery, Claire, Piper, Hazel on various topics during lunch hours.\"\n36825,2020/11/23,I spent 44 talking to Hazel on various topics in the late afternoon.,I spent 44 talking to Hazel on various topics in the late afternoon.\n36826,2020/11/23,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n36827,2020/11/23,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n36828,2020/11/24,I did HIIT on 2020/11/24.,I did HIIT on 2020/11/24.\n36829,2020/11/24,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n36830,2020/11/24,\"I had indian food for lunch with Avery, Piper, Kinsley, Nora, Layla, Eva\",\"I had indian food for lunch with Avery, Piper, Kinsley, Nora, Layla, Eva\"\n36831,2020/11/24,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n36832,2020/11/24,\"I talked to Avery, Eva, Layla for 38 minutes in the late afternoon.\",\"I talked to Avery, Eva, Layla for 38 minutes in the late afternoon.\"\n36833,2020/11/24,\"I talked to Piper, Nora, Layla for 21 minutes late in the evening.\",\"I talked to Piper, Nora, Layla for 21 minutes late in the evening.\"\n36834,2020/11/24,\"I spent 40 talking to Eva, Lydia, Kinsley on various topics late in the evening.\",\"I spent 40 talking to Eva, Lydia, Kinsley on various topics late in the evening.\"\n36835,2020/11/24,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n36836,2020/11/24,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n36837,2020/11/25,I took Kayden for his/her  for an annual vision checkup on 2020/11/25 at the private clinic.,I took Kayden for his/her  for an annual vision checkup on 2020/11/25 at the private clinic.\n36838,2020/11/25,I really enjoyed working out on 2020/11/25,I really enjoyed working out on 2020/11/25\n36839,2020/11/25,I did running on 2020/11/25.,I did running on 2020/11/25.\n36840,2020/11/25,\"I had peanut-butter-jam for breakfast with Andrew, Carter, Kayden, Emily\",\"I had peanut-butter-jam for breakfast with Andrew, Carter, Kayden, Emily\"\n36841,2020/11/25,\"I had indian food for lunch with Piper, Olivia, Piper, Lydia\",\"I had indian food for lunch with Piper, Olivia, Piper, Lydia\"\n36842,2020/11/25,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n36843,2020/11/25,\"I talked to Kinsley, Lydia, Claire for 42 minutes during lunch hours.\",\"I talked to Kinsley, Lydia, Claire for 42 minutes during lunch hours.\"\n36844,2020/11/25,I spent 21 talking to Nora on various topics in the early afternoon.,I spent 21 talking to Nora on various topics in the early afternoon.\n36845,2020/11/25,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n36846,2020/11/25,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n36847,2020/11/26,I went on a date with Theodore on 2020/11/26 at a restaurant,I went on a date with Theodore on 2020/11/26 at a restaurant\n36848,2020/11/26,I did swimming on 2020/11/26.,I did swimming on 2020/11/26.\n36849,2020/11/26,\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Emily, Carter\",\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Emily, Carter\"\n36850,2020/11/26,I had tacos for lunch with Jackson,I had tacos for lunch with Jackson\n36851,2020/11/26,\"I had a burger for dinner with Nevaeh, Lydia, Hazel, Claire, Olivia, Piper, Nora, Piper\",\"I had a burger for dinner with Nevaeh, Lydia, Hazel, Claire, Olivia, Piper, Nora, Piper\"\n36852,2020/11/26,\"I talked to Hazel, Layla, Piper, Olivia for 23 minutes in the morning.\",\"I talked to Hazel, Layla, Piper, Olivia for 23 minutes in the morning.\"\n36853,2020/11/26,\"I talked to Eva, Kinsley for 10 minutes in the morning.\",\"I talked to Eva, Kinsley for 10 minutes in the morning.\"\n36854,2020/11/26,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n36855,2020/11/26,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n36856,2020/11/27,I did biking on 2020/11/27.,I did biking on 2020/11/27.\n36857,2020/11/27,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n36858,2020/11/27,\"I had lunch with Piper, Claire, Lydia, Layla, Rylee, Kinsley, Nevaeh. I ate a burger.\",\"I had lunch with Piper, Claire, Lydia, Layla, Rylee, Kinsley, Nevaeh. I ate a burger.\"\n36859,2020/11/27,I prepare steak for dinner.,I prepare steak for dinner.\n36860,2020/11/27,\"I spent 28 talking to Piper, Rylee, Eva, Olivia on various topics in the early evening.\",\"I spent 28 talking to Piper, Rylee, Eva, Olivia on various topics in the early evening.\"\n36861,2020/11/27,\"I spent 21 talking to Avery, Rylee, Olivia, Hazel on various topics in the late afternoon.\",\"I spent 21 talking to Avery, Rylee, Olivia, Hazel on various topics in the late afternoon.\"\n36862,2020/11/27,I spent 26 talking to Layla on various topics in the late afternoon.,I spent 26 talking to Layla on various topics in the late afternoon.\n36863,2020/11/27,\"I spent 42 talking to Nevaeh, Piper, Claire on various topics in the late afternoon.\",\"I spent 42 talking to Nevaeh, Piper, Claire on various topics in the late afternoon.\"\n36864,2020/11/27,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n36865,2020/11/27,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n36866,2020/11/28,I did running on 2020/11/28.,I did running on 2020/11/28.\n36867,2020/11/28,\"I had breakfast with Nora, Hazel, Rylee, Avery, Claire, Olivia, Piper, Kinsley. I ate peanut-butter-jam.\",\"I had breakfast with Nora, Hazel, Rylee, Avery, Claire, Olivia, Piper, Kinsley. I ate peanut-butter-jam.\"\n36868,2020/11/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n36869,2020/11/28,I ate chinese food for dinner.,I ate chinese food for dinner.\n36870,2020/11/28,I talked to Hazel for 31 minutes during lunch hours.,I talked to Hazel for 31 minutes during lunch hours.\n36871,2020/11/28,I talked to Eva for 21 minutes in the early afternoon.,I talked to Eva for 21 minutes in the early afternoon.\n36872,2020/11/28,\"I spent 15 talking to Piper, Nora on various topics late in the evening.\",\"I spent 15 talking to Piper, Nora on various topics late in the evening.\"\n36873,2020/11/28,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n36874,2020/11/28,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n36875,2020/11/29,I did running on 2020/11/29.,I did running on 2020/11/29.\n36876,2020/11/29,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n36877,2020/11/29,I had lunch. I ate steak.,I had lunch. I ate steak.\n36878,2020/11/29,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n36879,2020/11/29,\"I talked to Kinsley, Olivia, Piper, Eva for 44 minutes during lunch hours.\",\"I talked to Kinsley, Olivia, Piper, Eva for 44 minutes during lunch hours.\"\n36880,2020/11/29,\"I spent 51 talking to Eva, Olivia on various topics during lunch hours.\",\"I spent 51 talking to Eva, Olivia on various topics during lunch hours.\"\n36881,2020/11/29,\"I spent 38 talking to Nevaeh, Hazel, Layla on various topics during lunch hours.\",\"I spent 38 talking to Nevaeh, Hazel, Layla on various topics during lunch hours.\"\n36882,2020/11/29,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n36883,2020/11/29,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n36884,2020/11/30,I went on a date with Ivy on 2020/11/30 at a coffee Shop,I went on a date with Ivy on 2020/11/30 at a coffee Shop\n36885,2020/11/30,\"I went grocery shopping. I bought some pears, blackberries, mineral water, guava juice, chocolate milk, and paper towel\",\"I went grocery shopping. I bought some pears, blackberries, mineral water, guava juice, chocolate milk, and paper towel\"\n36886,2020/11/30,I did weight lifting on 2020/11/30.,I did weight lifting on 2020/11/30.\n36887,2020/11/30,I had cereals for breakfast with Carter,I had cereals for breakfast with Carter\n36888,2020/11/30,I prepare tacos for lunch.,I prepare tacos for lunch.\n36889,2020/11/30,\"I had dinner with Layla, Rylee, Olivia, Nora, Avery, Claire, Hazel, Lydia, Piper. I ate chinese food.\",\"I had dinner with Layla, Rylee, Olivia, Nora, Avery, Claire, Hazel, Lydia, Piper. I ate chinese food.\"\n36890,2020/11/30,\"I spent 19 talking to Olivia, Hazel, Avery on various topics in the morning.\",\"I spent 19 talking to Olivia, Hazel, Avery on various topics in the morning.\"\n36891,2020/11/30,\"I spent 28 talking to Hazel, Eva, Layla on various topics in the early evening.\",\"I spent 28 talking to Hazel, Eva, Layla on various topics in the early evening.\"\n36892,2020/11/30,\"I spent 40 talking to Claire, Lydia, Kinsley on various topics in the late afternoon.\",\"I spent 40 talking to Claire, Lydia, Kinsley on various topics in the late afternoon.\"\n36893,2020/11/30,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n36894,2020/11/30,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n36895,2020/12/01,I did hiking on 2020/12/01.,I did hiking on 2020/12/01.\n36896,2020/12/01,\"I had toast and cheese for breakfast with Emily, Kayden\",\"I had toast and cheese for breakfast with Emily, Kayden\"\n36897,2020/12/01,I prepare a burger for lunch.,I prepare a burger for lunch.\n36898,2020/12/01,\"I had sandwich for dinner with Kayden, Emily, Carter\",\"I had sandwich for dinner with Kayden, Emily, Carter\"\n36899,2020/12/01,\"I spent 20 talking to Eva, Kinsley on various topics late in the evening.\",\"I spent 20 talking to Eva, Kinsley on various topics late in the evening.\"\n36900,2020/12/01,\"I talked to Nora, Avery, Claire, Layla for 24 minutes in the late afternoon.\",\"I talked to Nora, Avery, Claire, Layla for 24 minutes in the late afternoon.\"\n36901,2020/12/01,\"I talked to Olivia, Hazel for 16 minutes during lunch hours.\",\"I talked to Olivia, Hazel for 16 minutes during lunch hours.\"\n36902,2020/12/01,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n36903,2020/12/01,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n36904,2020/12/02,I did biking on 2020/12/02.,I did biking on 2020/12/02.\n36905,2020/12/02,\"I had toast and cheese for breakfast with Emily, Andrew, Kayden, Carter\",\"I had toast and cheese for breakfast with Emily, Andrew, Kayden, Carter\"\n36906,2020/12/02,I ate indian food for lunch.,I ate indian food for lunch.\n36907,2020/12/02,I ate sushi for dinner.,I ate sushi for dinner.\n36908,2020/12/02,I spent 27 talking to Nevaeh on various topics in the late afternoon.,I spent 27 talking to Nevaeh on various topics in the late afternoon.\n36909,2020/12/02,\"I talked to Rylee, Lydia, Piper, Hazel for 23 minutes in the late afternoon.\",\"I talked to Rylee, Lydia, Piper, Hazel for 23 minutes in the late afternoon.\"\n36910,2020/12/02,\"I talked to Lydia, Avery, Piper, Eva for 12 minutes during lunch hours.\",\"I talked to Lydia, Avery, Piper, Eva for 12 minutes during lunch hours.\"\n36911,2020/12/02,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n36912,2020/12/02,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n36913,2020/12/03,\"I entertained Emily at my place on 2020/12/03 and cook vietnamese coffee, asian slaw, favorite chicken potpie\",\"I entertained Emily at my place on 2020/12/03 and cook vietnamese coffee, asian slaw, favorite chicken potpie\"\n36914,2020/12/03,I went on a date with Claire on 2020/12/03 at a restaurant,I went on a date with Claire on 2020/12/03 at a restaurant\n36915,2020/12/03,\"I bought some mangos, pineapples, apple juice, mineral water, sports drinks, mouth wash, shaving cream from the grocery store. I saw Avery, Benjamin, Willow at the grocery store.\",\"I bought some mangos, pineapples, apple juice, mineral water, sports drinks, mouth wash, shaving cream from the grocery store. I saw Avery, Benjamin, Willow at the grocery store.\"\n36916,2020/12/03,I did swimming on 2020/12/03.,I did swimming on 2020/12/03.\n36917,2020/12/03,I ate cereals for breakfast.,I ate cereals for breakfast.\n36918,2020/12/03,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n36919,2020/12/03,\"I had steak for dinner with Kayden, Emily, Carter, Andrew\",\"I had steak for dinner with Kayden, Emily, Carter, Andrew\"\n36920,2020/12/03,\"I spent 6 talking to Claire, Nevaeh on various topics in the morning.\",\"I spent 6 talking to Claire, Nevaeh on various topics in the morning.\"\n36921,2020/12/03,\"I talked to Hazel, Piper, Lydia, Kinsley for 8 minutes in the early evening.\",\"I talked to Hazel, Piper, Lydia, Kinsley for 8 minutes in the early evening.\"\n36922,2020/12/03,\"I spent 26 talking to Lydia, Olivia, Avery, Piper on various topics in the early evening.\",\"I spent 26 talking to Lydia, Olivia, Avery, Piper on various topics in the early evening.\"\n36923,2020/12/03,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n36924,2020/12/03,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n36925,2020/12/04,I spent some time working out on 2020/12/04.,I spent some time working out on 2020/12/04.\n36926,2020/12/04,I did HIIT on 2020/12/04.,I did HIIT on 2020/12/04.\n36927,2020/12/04,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n36928,2020/12/04,I ate sandwich for lunch.,I ate sandwich for lunch.\n36929,2020/12/04,I had sandwich for dinner with Piper,I had sandwich for dinner with Piper\n36930,2020/12/04,\"I talked to Claire, Rylee, Eva for 38 minutes late in the evening.\",\"I talked to Claire, Rylee, Eva for 38 minutes late in the evening.\"\n36931,2020/12/04,\"I spent 7 talking to Rylee, Kinsley, Eva, Olivia on various topics during lunch hours.\",\"I spent 7 talking to Rylee, Kinsley, Eva, Olivia on various topics during lunch hours.\"\n36932,2020/12/04,\"I talked to Avery, Claire, Olivia, Lydia for 17 minutes in the early evening.\",\"I talked to Avery, Claire, Olivia, Lydia for 17 minutes in the early evening.\"\n36933,2020/12/04,\"I talked to Rylee, Avery for 5 minutes in the early evening.\",\"I talked to Rylee, Avery for 5 minutes in the early evening.\"\n36934,2020/12/04,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n36935,2020/12/04,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n36936,2020/12/05,\"I went grocery shopping. I bought some apricots, orange juice, milk, chocolate milk, and toothpaste\",\"I went grocery shopping. I bought some apricots, orange juice, milk, chocolate milk, and toothpaste\"\n36937,2020/12/05,I did running on 2020/12/05.,I did running on 2020/12/05.\n36938,2020/12/05,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n36939,2020/12/05,I prepare tacos for lunch.,I prepare tacos for lunch.\n36940,2020/12/05,I prepare steak for dinner.,I prepare steak for dinner.\n36941,2020/12/05,I talked to Claire for 10 minutes during lunch hours.,I talked to Claire for 10 minutes during lunch hours.\n36942,2020/12/05,I talked to Nora for 45 minutes in the early afternoon.,I talked to Nora for 45 minutes in the early afternoon.\n36943,2020/12/05,\"I spent 26 talking to Kinsley, Hazel on various topics in the early afternoon.\",\"I spent 26 talking to Kinsley, Hazel on various topics in the early afternoon.\"\n36944,2020/12/05,\"I talked to Kinsley, Claire, Nora for 41 minutes in the morning.\",\"I talked to Kinsley, Claire, Nora for 41 minutes in the morning.\"\n36945,2020/12/05,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n36946,2020/12/05,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n36947,2020/12/06,\"I had breakfast with Willow, Benjamin, Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Willow, Benjamin, Avery. I ate eggs, sausages, and bread.\"\n36948,2020/12/06,I prepare indian food for lunch.,I prepare indian food for lunch.\n36949,2020/12/06,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n36950,2020/12/06,\"I spent 23 talking to Kinsley, Olivia, Avery, Rylee on various topics in the late afternoon.\",\"I spent 23 talking to Kinsley, Olivia, Avery, Rylee on various topics in the late afternoon.\"\n36951,2020/12/06,I spent 37 talking to Kinsley on various topics late in the evening.,I spent 37 talking to Kinsley on various topics late in the evening.\n36952,2020/12/06,\"I talked to Claire, Rylee, Layla for 54 minutes late in the evening.\",\"I talked to Claire, Rylee, Layla for 54 minutes late in the evening.\"\n36953,2020/12/06,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n36954,2020/12/06,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n36955,2020/12/07,I did HIIT on 2020/12/07.,I did HIIT on 2020/12/07.\n36956,2020/12/07,\"I had breakfast with Willow, Jackson, Benjamin, Avery. I ate oatmeal.\",\"I had breakfast with Willow, Jackson, Benjamin, Avery. I ate oatmeal.\"\n36957,2020/12/07,\"I had fish and chips for lunch with Piper, Kinsley, Nevaeh, Hazel, Eva, Piper, Lydia, Olivia, Claire\",\"I had fish and chips for lunch with Piper, Kinsley, Nevaeh, Hazel, Eva, Piper, Lydia, Olivia, Claire\"\n36958,2020/12/07,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n36959,2020/12/07,\"I spent 51 talking to Nora, Claire, Rylee on various topics in the early afternoon.\",\"I spent 51 talking to Nora, Claire, Rylee on various topics in the early afternoon.\"\n36960,2020/12/07,\"I talked to Nora, Piper, Lydia, Kinsley for 47 minutes in the early afternoon.\",\"I talked to Nora, Piper, Lydia, Kinsley for 47 minutes in the early afternoon.\"\n36961,2020/12/07,I spent 17 talking to Piper on various topics in the late afternoon.,I spent 17 talking to Piper on various topics in the late afternoon.\n36962,2020/12/07,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n36963,2020/12/07,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n36964,2020/12/08,\"On 2020/12/08, I took Ava on a date to a coffee Shop\",\"On 2020/12/08, I took Ava on a date to a coffee Shop\"\n36965,2020/12/08,I did HIIT on 2020/12/08.,I did HIIT on 2020/12/08.\n36966,2020/12/08,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n36967,2020/12/08,I ate tacos for lunch.,I ate tacos for lunch.\n36968,2020/12/08,I had a burger for dinner with Nora,I had a burger for dinner with Nora\n36969,2020/12/08,I talked to Lydia for 35 minutes in the early evening.,I talked to Lydia for 35 minutes in the early evening.\n36970,2020/12/08,\"I spent 8 talking to Nora, Rylee, Lydia, Piper on various topics in the early afternoon.\",\"I spent 8 talking to Nora, Rylee, Lydia, Piper on various topics in the early afternoon.\"\n36971,2020/12/08,I spent 49 talking to Lydia on various topics late in the evening.,I spent 49 talking to Lydia on various topics late in the evening.\n36972,2020/12/08,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n36973,2020/12/08,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n36974,2020/12/09,I did weight lifting on 2020/12/09.,I did weight lifting on 2020/12/09.\n36975,2020/12/09,\"I had breakfast with Kayden, Carter. I ate toast and cheese.\",\"I had breakfast with Kayden, Carter. I ate toast and cheese.\"\n36976,2020/12/09,\"I had sandwich for lunch with Kayden, Carter, Emily\",\"I had sandwich for lunch with Kayden, Carter, Emily\"\n36977,2020/12/09,I ate indian food for dinner.,I ate indian food for dinner.\n36978,2020/12/09,\"I spent 12 talking to Kinsley, Piper on various topics during lunch hours.\",\"I spent 12 talking to Kinsley, Piper on various topics during lunch hours.\"\n36979,2020/12/09,\"I talked to Nora, Eva, Lydia, Layla for 19 minutes late in the evening.\",\"I talked to Nora, Eva, Lydia, Layla for 19 minutes late in the evening.\"\n36980,2020/12/09,I talked to Claire for 7 minutes in the early afternoon.,I talked to Claire for 7 minutes in the early afternoon.\n36981,2020/12/09,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n36982,2020/12/09,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n36983,2020/12/10,\"I went grocery shopping with Claire, Eva, Kinsley, Piper. I bought some clementines, milk, mineral water, tea, mango juice, and toothbrush, conditioner, paper towel\",\"I went grocery shopping with Claire, Eva, Kinsley, Piper. I bought some clementines, milk, mineral water, tea, mango juice, and toothbrush, conditioner, paper towel\"\n36984,2020/12/10,I did biking on 2020/12/10.,I did biking on 2020/12/10.\n36985,2020/12/10,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n36986,2020/12/10,I ate indian food for lunch.,I ate indian food for lunch.\n36987,2020/12/10,\"I had dinner with Piper, Rylee, Eva, Hazel, Nevaeh. I ate chinese food.\",\"I had dinner with Piper, Rylee, Eva, Hazel, Nevaeh. I ate chinese food.\"\n36988,2020/12/10,I spent 12 talking to Piper on various topics in the early afternoon.,I spent 12 talking to Piper on various topics in the early afternoon.\n36989,2020/12/10,I spent 30 talking to Hazel on various topics in the early afternoon.,I spent 30 talking to Hazel on various topics in the early afternoon.\n36990,2020/12/10,I talked to Layla for 44 minutes in the early evening.,I talked to Layla for 44 minutes in the early evening.\n36991,2020/12/10,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n36992,2020/12/10,I spent 37 minutes watching a tv series on TV today.,I spent 37 minutes watching a tv series on TV today.\n36993,2020/12/11,I did hiking on 2020/12/11.,I did hiking on 2020/12/11.\n36994,2020/12/11,\"I had breakfast with Claire, Layla, Nevaeh, Rylee, Lydia, Eva, Olivia, Avery, Kinsley, Nora. I ate pancakes.\",\"I had breakfast with Claire, Layla, Nevaeh, Rylee, Lydia, Eva, Olivia, Avery, Kinsley, Nora. I ate pancakes.\"\n36995,2020/12/11,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n36996,2020/12/11,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n36997,2020/12/11,\"I spent 6 talking to Piper, Avery, Piper on various topics late in the evening.\",\"I spent 6 talking to Piper, Avery, Piper on various topics late in the evening.\"\n36998,2020/12/11,I spent 14 talking to Claire on various topics in the morning.,I spent 14 talking to Claire on various topics in the morning.\n36999,2020/12/11,\"I spent 51 talking to Hazel, Olivia, Avery on various topics in the early evening.\",\"I spent 51 talking to Hazel, Olivia, Avery on various topics in the early evening.\"\n37000,2020/12/11,\"I spent 49 talking to Hazel, Kinsley, Piper, Layla on various topics in the early evening.\",\"I spent 49 talking to Hazel, Kinsley, Piper, Layla on various topics in the early evening.\"\n37001,2020/12/11,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n37002,2020/12/11,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n37003,2020/12/12,\"On 2020/12/12, I took Joshua on a date to a coffee Shop\",\"On 2020/12/12, I took Joshua on a date to a coffee Shop\"\n37004,2020/12/12,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n37005,2020/12/12,\"I had tacos for lunch with Piper, Claire\",\"I had tacos for lunch with Piper, Claire\"\n37006,2020/12/12,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n37007,2020/12/12,\"I talked to Layla, Eva, Nevaeh for 55 minutes late in the evening.\",\"I talked to Layla, Eva, Nevaeh for 55 minutes late in the evening.\"\n37008,2020/12/12,I spent 14 talking to Hazel on various topics during lunch hours.,I spent 14 talking to Hazel on various topics during lunch hours.\n37009,2020/12/12,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n37010,2020/12/12,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n37011,2020/12/13,I did running on 2020/12/13.,I did running on 2020/12/13.\n37012,2020/12/13,I had breakfast with Andrew. I ate oatmeal.,I had breakfast with Andrew. I ate oatmeal.\n37013,2020/12/13,I ate a burger for lunch.,I ate a burger for lunch.\n37014,2020/12/13,\"I had pasta for dinner with Eva, Layla, Nevaeh, Piper, Hazel, Piper, Rylee, Claire, Kinsley, Nora\",\"I had pasta for dinner with Eva, Layla, Nevaeh, Piper, Hazel, Piper, Rylee, Claire, Kinsley, Nora\"\n37015,2020/12/13,\"I talked to Claire, Lydia, Rylee for 6 minutes during lunch hours.\",\"I talked to Claire, Lydia, Rylee for 6 minutes during lunch hours.\"\n37016,2020/12/13,I talked to Nora for 46 minutes during lunch hours.,I talked to Nora for 46 minutes during lunch hours.\n37017,2020/12/13,I spent 10 talking to Lydia on various topics in the early afternoon.,I spent 10 talking to Lydia on various topics in the early afternoon.\n37018,2020/12/13,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n37019,2020/12/13,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n37020,2020/12/14,I did biking on 2020/12/14.,I did biking on 2020/12/14.\n37021,2020/12/14,\"I had breakfast with Avery, Nevaeh, Nora, Hazel, Olivia, Rylee, Lydia, Eva, Layla. I ate cereals.\",\"I had breakfast with Avery, Nevaeh, Nora, Hazel, Olivia, Rylee, Lydia, Eva, Layla. I ate cereals.\"\n37022,2020/12/14,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n37023,2020/12/14,\"I had indian food for dinner with Andrew, Carter\",\"I had indian food for dinner with Andrew, Carter\"\n37024,2020/12/14,\"I spent 44 talking to Eva, Kinsley, Hazel, Piper on various topics in the late afternoon.\",\"I spent 44 talking to Eva, Kinsley, Hazel, Piper on various topics in the late afternoon.\"\n37025,2020/12/14,\"I spent 5 talking to Claire, Avery on various topics in the late afternoon.\",\"I spent 5 talking to Claire, Avery on various topics in the late afternoon.\"\n37026,2020/12/14,\"I talked to Kinsley, Rylee, Hazel for 15 minutes in the late afternoon.\",\"I talked to Kinsley, Rylee, Hazel for 15 minutes in the late afternoon.\"\n37027,2020/12/14,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n37028,2020/12/14,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n37029,2020/12/15,\"I bought some cherres, raspberries, tea, mouth wash, conditioner, body lotion, paper towel online.\",\"I bought some cherres, raspberries, tea, mouth wash, conditioner, body lotion, paper towel online.\"\n37030,2020/12/15,I did HIIT on 2020/12/15.,I did HIIT on 2020/12/15.\n37031,2020/12/15,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n37032,2020/12/15,\"I had a burger for lunch with Claire, Kinsley, Nevaeh, Hazel, Rylee, Piper\",\"I had a burger for lunch with Claire, Kinsley, Nevaeh, Hazel, Rylee, Piper\"\n37033,2020/12/15,\"I had dinner with Carter, Kayden. I ate sandwich.\",\"I had dinner with Carter, Kayden. I ate sandwich.\"\n37034,2020/12/15,\"I talked to Piper, Rylee for 40 minutes in the late afternoon.\",\"I talked to Piper, Rylee for 40 minutes in the late afternoon.\"\n37035,2020/12/15,\"I spent 7 talking to Nevaeh, Layla on various topics late in the evening.\",\"I spent 7 talking to Nevaeh, Layla on various topics late in the evening.\"\n37036,2020/12/15,\"I spent 15 talking to Kinsley, Claire, Avery on various topics in the early evening.\",\"I spent 15 talking to Kinsley, Claire, Avery on various topics in the early evening.\"\n37037,2020/12/15,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n37038,2020/12/15,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n37039,2020/12/16,\"I went grocery shopping. I bought some apricots, guava, bananas, sports drinks, coffee, and toilet paper, mouthwash, facial wash\",\"I went grocery shopping. I bought some apricots, guava, bananas, sports drinks, coffee, and toilet paper, mouthwash, facial wash\"\n37040,2020/12/16,I did swimming on 2020/12/16.,I did swimming on 2020/12/16.\n37041,2020/12/16,\"I had breakfast with Lydia, Piper, Claire, Hazel, Layla, Avery, Kinsley, Eva, Nevaeh, Nora. I ate peanut-butter-jam.\",\"I had breakfast with Lydia, Piper, Claire, Hazel, Layla, Avery, Kinsley, Eva, Nevaeh, Nora. I ate peanut-butter-jam.\"\n37042,2020/12/16,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n37043,2020/12/16,\"I had fish and chips for dinner with Benjamin, Jackson\",\"I had fish and chips for dinner with Benjamin, Jackson\"\n37044,2020/12/16,\"I spent 35 talking to Olivia, Hazel, Claire, Nora on various topics in the early evening.\",\"I spent 35 talking to Olivia, Hazel, Claire, Nora on various topics in the early evening.\"\n37045,2020/12/16,\"I spent 6 talking to Nevaeh, Eva, Avery, Claire on various topics in the early evening.\",\"I spent 6 talking to Nevaeh, Eva, Avery, Claire on various topics in the early evening.\"\n37046,2020/12/16,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n37047,2020/12/16,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n37048,2020/12/17,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n37049,2020/12/17,I prepare a burger for lunch.,I prepare a burger for lunch.\n37050,2020/12/17,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n37051,2020/12/17,\"I talked to Claire, Hazel, Rylee for 5 minutes in the morning.\",\"I talked to Claire, Hazel, Rylee for 5 minutes in the morning.\"\n37052,2020/12/17,\"I talked to Piper, Avery for 34 minutes in the early afternoon.\",\"I talked to Piper, Avery for 34 minutes in the early afternoon.\"\n37053,2020/12/17,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n37054,2020/12/17,I watched a movie for 30 minutes on TV today.,I watched a movie for 30 minutes on TV today.\n37055,2020/12/18,I really enjoyed yoga on 2020/12/18,I really enjoyed yoga on 2020/12/18\n37056,2020/12/18,I did weight lifting on 2020/12/18.,I did weight lifting on 2020/12/18.\n37057,2020/12/18,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n37058,2020/12/18,\"I had indian food for lunch with Kayden, Andrew, Carter, Emily\",\"I had indian food for lunch with Kayden, Andrew, Carter, Emily\"\n37059,2020/12/18,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n37060,2020/12/18,I spent 22 talking to Claire on various topics late in the evening.,I spent 22 talking to Claire on various topics late in the evening.\n37061,2020/12/18,\"I spent 23 talking to Claire, Eva, Olivia, Layla on various topics during lunch hours.\",\"I spent 23 talking to Claire, Eva, Olivia, Layla on various topics during lunch hours.\"\n37062,2020/12/18,\"I talked to Kinsley, Nora, Hazel for 35 minutes in the early evening.\",\"I talked to Kinsley, Nora, Hazel for 35 minutes in the early evening.\"\n37063,2020/12/18,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n37064,2020/12/18,I watched a tv series for 30 minutes on TV today.,I watched a tv series for 30 minutes on TV today.\n37065,2020/12/19,I did hiking on 2020/12/19.,I did hiking on 2020/12/19.\n37066,2020/12/19,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n37067,2020/12/19,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n37068,2020/12/19,\"I had dinner with Nevaeh, Lydia, Piper, Rylee, Kinsley, Piper, Layla, Hazel, Eva. I ate indian food.\",\"I had dinner with Nevaeh, Lydia, Piper, Rylee, Kinsley, Piper, Layla, Hazel, Eva. I ate indian food.\"\n37069,2020/12/19,I spent 29 talking to Layla on various topics in the late afternoon.,I spent 29 talking to Layla on various topics in the late afternoon.\n37070,2020/12/19,\"I talked to Kinsley, Piper, Piper for 54 minutes during lunch hours.\",\"I talked to Kinsley, Piper, Piper for 54 minutes during lunch hours.\"\n37071,2020/12/19,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n37072,2020/12/19,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n37073,2020/12/20,I did running on 2020/12/20.,I did running on 2020/12/20.\n37074,2020/12/20,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n37075,2020/12/20,\"I had lunch with Eva, Lydia, Piper, Nevaeh. I ate sushi.\",\"I had lunch with Eva, Lydia, Piper, Nevaeh. I ate sushi.\"\n37076,2020/12/20,\"I had dinner with Avery, Nora, Eva, Piper, Piper, Nevaeh, Claire. I ate pasta.\",\"I had dinner with Avery, Nora, Eva, Piper, Piper, Nevaeh, Claire. I ate pasta.\"\n37077,2020/12/20,\"I spent 9 talking to Avery, Nora on various topics in the morning.\",\"I spent 9 talking to Avery, Nora on various topics in the morning.\"\n37078,2020/12/20,I talked to Layla for 19 minutes in the early afternoon.,I talked to Layla for 19 minutes in the early afternoon.\n37079,2020/12/20,\"I talked to Kinsley, Claire, Layla, Hazel for 17 minutes late in the evening.\",\"I talked to Kinsley, Claire, Layla, Hazel for 17 minutes late in the evening.\"\n37080,2020/12/20,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n37081,2020/12/20,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n37082,2020/12/21,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n37083,2020/12/21,\"I had steak for lunch with Carter, Kayden, Emily, Andrew\",\"I had steak for lunch with Carter, Kayden, Emily, Andrew\"\n37084,2020/12/21,\"I had dinner with Benjamin, Jackson. I ate chinese food.\",\"I had dinner with Benjamin, Jackson. I ate chinese food.\"\n37085,2020/12/21,\"I spent 36 talking to Lydia, Rylee on various topics in the early evening.\",\"I spent 36 talking to Lydia, Rylee on various topics in the early evening.\"\n37086,2020/12/21,\"I talked to Claire, Kinsley, Nevaeh, Piper for 37 minutes in the late afternoon.\",\"I talked to Claire, Kinsley, Nevaeh, Piper for 37 minutes in the late afternoon.\"\n37087,2020/12/21,\"I spent 25 talking to Lydia, Olivia on various topics during lunch hours.\",\"I spent 25 talking to Lydia, Olivia on various topics during lunch hours.\"\n37088,2020/12/21,I talked to Nora for 12 minutes in the early evening.,I talked to Nora for 12 minutes in the early evening.\n37089,2020/12/21,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n37090,2020/12/21,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n37091,2020/12/22,I did HIIT on 2020/12/22.,I did HIIT on 2020/12/22.\n37092,2020/12/22,\"I had breakfast with Emily, Kayden. I ate oatmeal.\",\"I had breakfast with Emily, Kayden. I ate oatmeal.\"\n37093,2020/12/22,I ate steak for lunch.,I ate steak for lunch.\n37094,2020/12/22,\"I had dinner with Emily, Carter. I ate sandwich.\",\"I had dinner with Emily, Carter. I ate sandwich.\"\n37095,2020/12/22,I talked to Nora for 44 minutes late in the evening.,I talked to Nora for 44 minutes late in the evening.\n37096,2020/12/22,\"I talked to Olivia, Hazel, Piper for 30 minutes in the early evening.\",\"I talked to Olivia, Hazel, Piper for 30 minutes in the early evening.\"\n37097,2020/12/22,\"I talked to Layla, Hazel, Piper for 16 minutes in the morning.\",\"I talked to Layla, Hazel, Piper for 16 minutes in the morning.\"\n37098,2020/12/22,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n37099,2020/12/22,I spent 43 minutes watching news on TV today.,I spent 43 minutes watching news on TV today.\n37100,2020/12/23,\"I went grocery shopping. I bought some strawberries, apple juice, and shaving cream, body lotion, mouthwash\",\"I went grocery shopping. I bought some strawberries, apple juice, and shaving cream, body lotion, mouthwash\"\n37101,2020/12/23,I did HIIT on 2020/12/23.,I did HIIT on 2020/12/23.\n37102,2020/12/23,\"I had breakfast with Claire, Eva, Avery, Nora, Lydia, Olivia, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Claire, Eva, Avery, Nora, Lydia, Olivia, Piper. I ate eggs, sausages, and bread.\"\n37103,2020/12/23,\"I had fish and chips for lunch with Piper, Eva, Layla, Nora, Olivia, Rylee, Hazel, Claire, Lydia, Kinsley, Nevaeh, Avery\",\"I had fish and chips for lunch with Piper, Eva, Layla, Nora, Olivia, Rylee, Hazel, Claire, Lydia, Kinsley, Nevaeh, Avery\"\n37104,2020/12/23,\"I had dinner with Carter, Emily. I ate fish and chips.\",\"I had dinner with Carter, Emily. I ate fish and chips.\"\n37105,2020/12/23,\"I talked to Eva, Avery, Nevaeh, Claire for 14 minutes during lunch hours.\",\"I talked to Eva, Avery, Nevaeh, Claire for 14 minutes during lunch hours.\"\n37106,2020/12/23,I talked to Hazel for 39 minutes in the early evening.,I talked to Hazel for 39 minutes in the early evening.\n37107,2020/12/23,\"I spent 34 talking to Nora, Claire, Hazel on various topics in the late afternoon.\",\"I spent 34 talking to Nora, Claire, Hazel on various topics in the late afternoon.\"\n37108,2020/12/23,\"I spent 24 talking to Lydia, Layla on various topics in the morning.\",\"I spent 24 talking to Lydia, Layla on various topics in the morning.\"\n37109,2020/12/23,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n37110,2020/12/23,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n37111,2020/12/24,I went on a date with Landon on 2020/12/24 at a coffee Shop,I went on a date with Landon on 2020/12/24 at a coffee Shop\n37112,2020/12/24,I did hiking on 2020/12/24.,I did hiking on 2020/12/24.\n37113,2020/12/24,\"I had breakfast with Claire, Eva, Olivia, Layla, Nevaeh, Avery, Hazel, Kinsley, Rylee, Lydia, Piper. I ate toast and cheese.\",\"I had breakfast with Claire, Eva, Olivia, Layla, Nevaeh, Avery, Hazel, Kinsley, Rylee, Lydia, Piper. I ate toast and cheese.\"\n37114,2020/12/24,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n37115,2020/12/24,I had sandwich for dinner with Benjamin,I had sandwich for dinner with Benjamin\n37116,2020/12/24,\"I talked to Nevaeh, Claire for 29 minutes in the early afternoon.\",\"I talked to Nevaeh, Claire for 29 minutes in the early afternoon.\"\n37117,2020/12/24,I spent 50 talking to Olivia on various topics in the early evening.,I spent 50 talking to Olivia on various topics in the early evening.\n37118,2020/12/24,\"I spent 21 talking to Rylee, Nora on various topics in the early afternoon.\",\"I spent 21 talking to Rylee, Nora on various topics in the early afternoon.\"\n37119,2020/12/24,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n37120,2020/12/24,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n37121,2020/12/25,I spent some time meditation on 2020/12/25.,I spent some time meditation on 2020/12/25.\n37122,2020/12/25,I did weight lifting on 2020/12/25.,I did weight lifting on 2020/12/25.\n37123,2020/12/25,\"I had breakfast with Jackson, Willow, Benjamin. I ate oatmeal.\",\"I had breakfast with Jackson, Willow, Benjamin. I ate oatmeal.\"\n37124,2020/12/25,\"I had tacos for lunch with Benjamin, Avery, Jackson\",\"I had tacos for lunch with Benjamin, Avery, Jackson\"\n37125,2020/12/25,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n37126,2020/12/25,I spent 54 talking to Olivia on various topics in the early afternoon.,I spent 54 talking to Olivia on various topics in the early afternoon.\n37127,2020/12/25,\"I talked to Nevaeh, Olivia, Nora, Piper for 41 minutes in the early afternoon.\",\"I talked to Nevaeh, Olivia, Nora, Piper for 41 minutes in the early afternoon.\"\n37128,2020/12/25,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n37129,2020/12/25,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n37130,2020/12/26,I did biking on 2020/12/26.,I did biking on 2020/12/26.\n37131,2020/12/26,\"I had breakfast with Nevaeh, Olivia, Piper, Piper, Eva, Claire, Nora, Rylee, Hazel. I ate toast and cheese.\",\"I had breakfast with Nevaeh, Olivia, Piper, Piper, Eva, Claire, Nora, Rylee, Hazel. I ate toast and cheese.\"\n37132,2020/12/26,\"I had chinese food for lunch with Olivia, Layla, Kinsley, Nevaeh, Nora, Claire, Piper\",\"I had chinese food for lunch with Olivia, Layla, Kinsley, Nevaeh, Nora, Claire, Piper\"\n37133,2020/12/26,\"I had fish and chips for dinner with Jackson, Avery\",\"I had fish and chips for dinner with Jackson, Avery\"\n37134,2020/12/26,\"I talked to Eva, Layla, Nora for 6 minutes in the morning.\",\"I talked to Eva, Layla, Nora for 6 minutes in the morning.\"\n37135,2020/12/26,I spent 20 talking to Piper on various topics in the late afternoon.,I spent 20 talking to Piper on various topics in the late afternoon.\n37136,2020/12/26,I spent 5 talking to Piper on various topics in the early evening.,I spent 5 talking to Piper on various topics in the early evening.\n37137,2020/12/26,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n37138,2020/12/26,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n37139,2020/12/27,I did hiking on 2020/12/27.,I did hiking on 2020/12/27.\n37140,2020/12/27,I had breakfast with Andrew. I ate peanut-butter-jam.,I had breakfast with Andrew. I ate peanut-butter-jam.\n37141,2020/12/27,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n37142,2020/12/27,I ate chinese food for dinner.,I ate chinese food for dinner.\n37143,2020/12/27,\"I talked to Rylee, Claire for 33 minutes in the early evening.\",\"I talked to Rylee, Claire for 33 minutes in the early evening.\"\n37144,2020/12/27,I talked to Claire for 13 minutes in the early evening.,I talked to Claire for 13 minutes in the early evening.\n37145,2020/12/27,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n37146,2020/12/27,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n37147,2020/12/28,\"I went grocery shopping. I bought some clementines, blackberries, coffee, milk, and conditioner\",\"I went grocery shopping. I bought some clementines, blackberries, coffee, milk, and conditioner\"\n37148,2020/12/28,I did hiking on 2020/12/28.,I did hiking on 2020/12/28.\n37149,2020/12/28,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n37150,2020/12/28,\"I had lunch with Willow, Jackson. I ate sandwich.\",\"I had lunch with Willow, Jackson. I ate sandwich.\"\n37151,2020/12/28,\"I had fish and chips for dinner with Kayden, Carter, Andrew\",\"I had fish and chips for dinner with Kayden, Carter, Andrew\"\n37152,2020/12/28,\"I talked to Avery, Hazel, Nora for 35 minutes in the late afternoon.\",\"I talked to Avery, Hazel, Nora for 35 minutes in the late afternoon.\"\n37153,2020/12/28,\"I talked to Kinsley, Hazel for 7 minutes in the early evening.\",\"I talked to Kinsley, Hazel for 7 minutes in the early evening.\"\n37154,2020/12/28,\"I spent 6 talking to Hazel, Nora, Olivia on various topics during lunch hours.\",\"I spent 6 talking to Hazel, Nora, Olivia on various topics during lunch hours.\"\n37155,2020/12/28,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n37156,2020/12/28,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n37157,2020/12/29,I did weight lifting on 2020/12/29.,I did weight lifting on 2020/12/29.\n37158,2020/12/29,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n37159,2020/12/29,\"I had fish and chips for lunch with Carter, Emily\",\"I had fish and chips for lunch with Carter, Emily\"\n37160,2020/12/29,\"I had dinner with Kayden, Andrew, Emily, Carter. I ate a burger.\",\"I had dinner with Kayden, Andrew, Emily, Carter. I ate a burger.\"\n37161,2020/12/29,\"I spent 49 talking to Kinsley, Piper, Avery, Olivia on various topics in the early evening.\",\"I spent 49 talking to Kinsley, Piper, Avery, Olivia on various topics in the early evening.\"\n37162,2020/12/29,\"I spent 28 talking to Avery, Lydia, Rylee on various topics in the early afternoon.\",\"I spent 28 talking to Avery, Lydia, Rylee on various topics in the early afternoon.\"\n37163,2020/12/29,\"I spent 17 talking to Nora, Rylee, Olivia, Avery on various topics in the early afternoon.\",\"I spent 17 talking to Nora, Rylee, Olivia, Avery on various topics in the early afternoon.\"\n37164,2020/12/29,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n37165,2020/12/29,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n37166,2020/12/30,I did hiking on 2020/12/30.,I did hiking on 2020/12/30.\n37167,2020/12/30,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n37168,2020/12/30,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n37169,2020/12/30,I had dinner. I ate steak.,I had dinner. I ate steak.\n37170,2020/12/30,\"I spent 41 talking to Piper, Layla, Eva, Olivia on various topics in the morning.\",\"I spent 41 talking to Piper, Layla, Eva, Olivia on various topics in the morning.\"\n37171,2020/12/30,\"I talked to Hazel, Avery for 10 minutes late in the evening.\",\"I talked to Hazel, Avery for 10 minutes late in the evening.\"\n37172,2020/12/30,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n37173,2020/12/30,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n37174,2020/12/31,\"On 2020/12/31, I took Elena on a date to a restaurant\",\"On 2020/12/31, I took Elena on a date to a restaurant\"\n37175,2020/12/31,I did biking on 2020/12/31.,I did biking on 2020/12/31.\n37176,2020/12/31,I had cereals for breakfast with Carter,I had cereals for breakfast with Carter\n37177,2020/12/31,\"I had indian food for lunch with Benjamin, Avery\",\"I had indian food for lunch with Benjamin, Avery\"\n37178,2020/12/31,\"I had dinner with Willow, Benjamin. I ate sandwich.\",\"I had dinner with Willow, Benjamin. I ate sandwich.\"\n37179,2020/12/31,\"I spent 29 talking to Piper, Claire, Eva on various topics during lunch hours.\",\"I spent 29 talking to Piper, Claire, Eva on various topics during lunch hours.\"\n37180,2020/12/31,\"I spent 38 talking to Olivia, Nora, Claire on various topics in the morning.\",\"I spent 38 talking to Olivia, Nora, Claire on various topics in the morning.\"\n37181,2020/12/31,\"I spent 44 talking to Piper, Claire, Lydia on various topics late in the evening.\",\"I spent 44 talking to Piper, Claire, Lydia on various topics late in the evening.\"\n37182,2020/12/31,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n37183,2020/12/31,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n37184,2021/01/01,I did hiking on 2021/01/01.,I did hiking on 2021/01/01.\n37185,2021/01/01,\"I had cereals for breakfast with Emily, Kayden\",\"I had cereals for breakfast with Emily, Kayden\"\n37186,2021/01/01,\"I had sushi for lunch with Carter, Emily, Andrew, Kayden\",\"I had sushi for lunch with Carter, Emily, Andrew, Kayden\"\n37187,2021/01/01,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n37188,2021/01/01,I talked to Rylee for 47 minutes during lunch hours.,I talked to Rylee for 47 minutes during lunch hours.\n37189,2021/01/01,I talked to Rylee for 39 minutes late in the evening.,I talked to Rylee for 39 minutes late in the evening.\n37190,2021/01/01,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n37191,2021/01/01,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n37192,2021/01/02,\"I had breakfast with Andrew, Carter, Emily, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Carter, Emily, Kayden. I ate eggs, sausages, and bread.\"\n37193,2021/01/02,\"I had tacos for lunch with Piper, Lydia, Piper, Eva, Olivia\",\"I had tacos for lunch with Piper, Lydia, Piper, Eva, Olivia\"\n37194,2021/01/02,I had dinner. I ate steak.,I had dinner. I ate steak.\n37195,2021/01/02,I spent 8 talking to Piper on various topics in the morning.,I spent 8 talking to Piper on various topics in the morning.\n37196,2021/01/02,\"I spent 33 talking to Layla, Kinsley, Eva on various topics in the morning.\",\"I spent 33 talking to Layla, Kinsley, Eva on various topics in the morning.\"\n37197,2021/01/02,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n37198,2021/01/02,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n37199,2021/01/03,\"On 2021/01/03, I took Nora on a date to a boba shop\",\"On 2021/01/03, I took Nora on a date to a boba shop\"\n37200,2021/01/03,\"I went grocery shopping with Andrew, Kayden, Carter. I bought some blueberries, tea, coffee, and facial wash, shaving cream, mouth wash\",\"I went grocery shopping with Andrew, Kayden, Carter. I bought some blueberries, tea, coffee, and facial wash, shaving cream, mouth wash\"\n37201,2021/01/03,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n37202,2021/01/03,I ate sushi for lunch.,I ate sushi for lunch.\n37203,2021/01/03,\"I had dinner with Kayden, Andrew, Emily. I ate a burger.\",\"I had dinner with Kayden, Andrew, Emily. I ate a burger.\"\n37204,2021/01/03,\"I talked to Layla, Lydia for 51 minutes in the late afternoon.\",\"I talked to Layla, Lydia for 51 minutes in the late afternoon.\"\n37205,2021/01/03,\"I talked to Rylee, Claire, Eva, Piper for 39 minutes in the morning.\",\"I talked to Rylee, Claire, Eva, Piper for 39 minutes in the morning.\"\n37206,2021/01/03,\"I talked to Layla, Eva, Nevaeh for 38 minutes during lunch hours.\",\"I talked to Layla, Eva, Nevaeh for 38 minutes during lunch hours.\"\n37207,2021/01/03,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n37208,2021/01/03,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n37209,2021/01/04,\"I really enjoyed cooking scallion pancake, asian slaw, hungarian chicken paprikash on 2021/01/04 with Kayden, Emily, Carter at my place\",\"I really enjoyed cooking scallion pancake, asian slaw, hungarian chicken paprikash on 2021/01/04 with Kayden, Emily, Carter at my place\"\n37210,2021/01/04,\"I went grocery shopping with Willow, Benjamin. I bought some mandarins, guava, watermelons, mangos, apple juice, coffee, sports drinks, tea, and body lotion, conditioner, mouth wash, mouthwash\",\"I went grocery shopping with Willow, Benjamin. I bought some mandarins, guava, watermelons, mangos, apple juice, coffee, sports drinks, tea, and body lotion, conditioner, mouth wash, mouthwash\"\n37211,2021/01/04,I did biking on 2021/01/04.,I did biking on 2021/01/04.\n37212,2021/01/04,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n37213,2021/01/04,I ate a burger for lunch.,I ate a burger for lunch.\n37214,2021/01/04,I had dinner with Emily. I ate indian food.,I had dinner with Emily. I ate indian food.\n37215,2021/01/04,\"I spent 7 talking to Rylee, Nevaeh, Olivia on various topics during lunch hours.\",\"I spent 7 talking to Rylee, Nevaeh, Olivia on various topics during lunch hours.\"\n37216,2021/01/04,\"I spent 30 talking to Claire, Nevaeh on various topics in the early afternoon.\",\"I spent 30 talking to Claire, Nevaeh on various topics in the early afternoon.\"\n37217,2021/01/04,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n37218,2021/01/04,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n37219,2021/01/05,\"I really enjoyed baking fig tarte tatin, cranberry apple danish on 2021/01/05 with Emily at my place\",\"I really enjoyed baking fig tarte tatin, cranberry apple danish on 2021/01/05 with Emily at my place\"\n37220,2021/01/05,I did running on 2021/01/05.,I did running on 2021/01/05.\n37221,2021/01/05,\"I had breakfast with Rylee, Olivia, Piper. I ate peanut-butter-jam.\",\"I had breakfast with Rylee, Olivia, Piper. I ate peanut-butter-jam.\"\n37222,2021/01/05,\"I had a burger for lunch with Eva, Layla, Nevaeh, Lydia, Avery, Olivia\",\"I had a burger for lunch with Eva, Layla, Nevaeh, Lydia, Avery, Olivia\"\n37223,2021/01/05,I ate sushi for dinner.,I ate sushi for dinner.\n37224,2021/01/05,I talked to Avery for 23 minutes during lunch hours.,I talked to Avery for 23 minutes during lunch hours.\n37225,2021/01/05,\"I spent 48 talking to Rylee, Nevaeh, Claire, Piper on various topics in the morning.\",\"I spent 48 talking to Rylee, Nevaeh, Claire, Piper on various topics in the morning.\"\n37226,2021/01/05,\"I spent 7 talking to Piper, Nora on various topics in the morning.\",\"I spent 7 talking to Piper, Nora on various topics in the morning.\"\n37227,2021/01/05,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n37228,2021/01/05,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n37229,2021/01/06,I did swimming on 2021/01/06.,I did swimming on 2021/01/06.\n37230,2021/01/06,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n37231,2021/01/06,I ate tacos for lunch.,I ate tacos for lunch.\n37232,2021/01/06,\"I had sandwich for dinner with Carter, Andrew, Emily, Kayden\",\"I had sandwich for dinner with Carter, Andrew, Emily, Kayden\"\n37233,2021/01/06,\"I spent 38 talking to Hazel, Piper on various topics in the early evening.\",\"I spent 38 talking to Hazel, Piper on various topics in the early evening.\"\n37234,2021/01/06,\"I spent 55 talking to Claire, Avery, Nevaeh on various topics in the morning.\",\"I spent 55 talking to Claire, Avery, Nevaeh on various topics in the morning.\"\n37235,2021/01/06,\"I spent 51 talking to Eva, Claire, Piper, Kinsley on various topics late in the evening.\",\"I spent 51 talking to Eva, Claire, Piper, Kinsley on various topics late in the evening.\"\n37236,2021/01/06,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n37237,2021/01/06,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n37238,2021/01/07,I did biking on 2021/01/07.,I did biking on 2021/01/07.\n37239,2021/01/07,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n37240,2021/01/07,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n37241,2021/01/07,I ate a burger for dinner.,I ate a burger for dinner.\n37242,2021/01/07,I talked to Claire for 51 minutes in the early afternoon.,I talked to Claire for 51 minutes in the early afternoon.\n37243,2021/01/07,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n37244,2021/01/07,I spent 36 minutes watching a documentary on TV today.,I spent 36 minutes watching a documentary on TV today.\n37245,2021/01/08,I did swimming on 2021/01/08.,I did swimming on 2021/01/08.\n37246,2021/01/08,\"I had toast and cheese for breakfast with Lydia, Avery, Nora, Layla, Eva, Olivia, Nevaeh\",\"I had toast and cheese for breakfast with Lydia, Avery, Nora, Layla, Eva, Olivia, Nevaeh\"\n37247,2021/01/08,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n37248,2021/01/08,\"I had sandwich for dinner with Nevaeh, Nora, Lydia, Eva, Layla, Claire, Piper, Kinsley, Piper, Rylee, Hazel\",\"I had sandwich for dinner with Nevaeh, Nora, Lydia, Eva, Layla, Claire, Piper, Kinsley, Piper, Rylee, Hazel\"\n37249,2021/01/08,\"I spent 32 talking to Rylee, Eva, Lydia on various topics late in the evening.\",\"I spent 32 talking to Rylee, Eva, Lydia on various topics late in the evening.\"\n37250,2021/01/08,\"I spent 30 talking to Avery, Hazel, Claire, Eva on various topics in the early afternoon.\",\"I spent 30 talking to Avery, Hazel, Claire, Eva on various topics in the early afternoon.\"\n37251,2021/01/08,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n37252,2021/01/08,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n37253,2021/01/09,I really enjoyed learning a language on 2021/01/09,I really enjoyed learning a language on 2021/01/09\n37254,2021/01/09,I did hiking on 2021/01/09.,I did hiking on 2021/01/09.\n37255,2021/01/09,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n37256,2021/01/09,\"I had lunch with Kayden, Carter, Emily, Andrew. I ate tacos.\",\"I had lunch with Kayden, Carter, Emily, Andrew. I ate tacos.\"\n37257,2021/01/09,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n37258,2021/01/09,\"I spent 36 talking to Piper, Nora, Rylee, Piper on various topics during lunch hours.\",\"I spent 36 talking to Piper, Nora, Rylee, Piper on various topics during lunch hours.\"\n37259,2021/01/09,\"I spent 36 talking to Kinsley, Piper on various topics late in the evening.\",\"I spent 36 talking to Kinsley, Piper on various topics late in the evening.\"\n37260,2021/01/09,\"I talked to Avery, Piper for 37 minutes in the early evening.\",\"I talked to Avery, Piper for 37 minutes in the early evening.\"\n37261,2021/01/09,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n37262,2021/01/09,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n37263,2021/01/10,I did HIIT on 2021/01/10.,I did HIIT on 2021/01/10.\n37264,2021/01/10,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n37265,2021/01/10,I had sushi for lunch with Benjamin,I had sushi for lunch with Benjamin\n37266,2021/01/10,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n37267,2021/01/10,\"I talked to Kinsley, Piper for 50 minutes in the late afternoon.\",\"I talked to Kinsley, Piper for 50 minutes in the late afternoon.\"\n37268,2021/01/10,I talked to Kinsley for 16 minutes late in the evening.,I talked to Kinsley for 16 minutes late in the evening.\n37269,2021/01/10,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n37270,2021/01/10,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n37271,2021/01/11,\"I visited Shanghai, China for 6 days with Kayden, Carter, Emily starting on 2021/01/11\",\"I visited Shanghai, China for 6 days with Kayden, Carter, Emily starting on 2021/01/11\"\n37272,2021/01/11,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n37273,2021/01/11,\"I had lunch with Jackson, Avery, Willow, Benjamin. I ate sushi.\",\"I had lunch with Jackson, Avery, Willow, Benjamin. I ate sushi.\"\n37274,2021/01/11,I prepare indian food for dinner.,I prepare indian food for dinner.\n37275,2021/01/11,I talked to Nora for 51 minutes late in the evening.,I talked to Nora for 51 minutes late in the evening.\n37276,2021/01/11,\"I spent 11 talking to Avery, Claire on various topics in the late afternoon.\",\"I spent 11 talking to Avery, Claire on various topics in the late afternoon.\"\n37277,2021/01/11,\"I spent 18 talking to Nevaeh, Claire on various topics in the late afternoon.\",\"I spent 18 talking to Nevaeh, Claire on various topics in the late afternoon.\"\n37278,2021/01/11,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n37279,2021/01/11,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n37280,2021/01/12,\"I ate Italian food at Fangbang Xi Lu with Kayden, Carter, Emily on  2021/01/12 when I was in Shanghai, China.\",\"I ate Italian food at Fangbang Xi Lu with Kayden, Carter, Emily on  2021/01/12 when I was in Shanghai, China.\"\n37281,2021/01/12,\"I bought some cherres, apple juice, mineral water, orange juice, pineapple juice, mouth wash, shampoo, paper towel, conditioner from the grocery store. I saw Nora, Rylee, Kinsley, Claire, Nevaeh, Piper, Olivia, Avery, Lydia, Eva, Layla, Piper at the grocery store.\",\"I bought some cherres, apple juice, mineral water, orange juice, pineapple juice, mouth wash, shampoo, paper towel, conditioner from the grocery store. I saw Nora, Rylee, Kinsley, Claire, Nevaeh, Piper, Olivia, Avery, Lydia, Eva, Layla, Piper at the grocery store.\"\n37282,2021/01/12,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n37283,2021/01/12,I ate pasta for lunch.,I ate pasta for lunch.\n37284,2021/01/12,I ate steak for dinner.,I ate steak for dinner.\n37285,2021/01/12,\"I spent 46 talking to Avery, Layla on various topics in the early evening.\",\"I spent 46 talking to Avery, Layla on various topics in the early evening.\"\n37286,2021/01/12,\"I spent 54 talking to Piper, Olivia, Hazel on various topics in the early afternoon.\",\"I spent 54 talking to Piper, Olivia, Hazel on various topics in the early afternoon.\"\n37287,2021/01/12,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n37288,2021/01/12,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n37289,2021/01/13,\"I ate Indian food at Yuyuan Lu junction with Kayden, Carter, Emily on  2021/01/13 when I was in Shanghai, China.\",\"I ate Indian food at Yuyuan Lu junction with Kayden, Carter, Emily on  2021/01/13 when I was in Shanghai, China.\"\n37290,2021/01/13,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n37291,2021/01/13,I prepare sushi for lunch.,I prepare sushi for lunch.\n37292,2021/01/13,I prepare a burger for dinner.,I prepare a burger for dinner.\n37293,2021/01/13,\"I spent 37 talking to Rylee, Piper, Olivia on various topics late in the evening.\",\"I spent 37 talking to Rylee, Piper, Olivia on various topics late in the evening.\"\n37294,2021/01/13,\"I spent 27 talking to Piper, Olivia on various topics in the late afternoon.\",\"I spent 27 talking to Piper, Olivia on various topics in the late afternoon.\"\n37295,2021/01/13,I talked to Nevaeh for 38 minutes in the late afternoon.,I talked to Nevaeh for 38 minutes in the late afternoon.\n37296,2021/01/13,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n37297,2021/01/13,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n37298,2021/01/14,\"I ate local food at South Bund Fabric Market with Kayden, Carter, Emily on  2021/01/14 when I was in Shanghai, China.\",\"I ate local food at South Bund Fabric Market with Kayden, Carter, Emily on  2021/01/14 when I was in Shanghai, China.\"\n37299,2021/01/14,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n37300,2021/01/14,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n37301,2021/01/14,I ate pasta for dinner.,I ate pasta for dinner.\n37302,2021/01/14,\"I spent 5 talking to Rylee, Olivia, Layla on various topics late in the evening.\",\"I spent 5 talking to Rylee, Olivia, Layla on various topics late in the evening.\"\n37303,2021/01/14,\"I talked to Rylee, Hazel, Kinsley for 49 minutes during lunch hours.\",\"I talked to Rylee, Hazel, Kinsley for 49 minutes during lunch hours.\"\n37304,2021/01/14,\"I talked to Rylee, Eva, Layla, Nora for 41 minutes in the late afternoon.\",\"I talked to Rylee, Eva, Layla, Nora for 41 minutes in the late afternoon.\"\n37305,2021/01/14,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n37306,2021/01/14,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n37307,2021/01/15,I did weight lifting on 2021/01/15.,I did weight lifting on 2021/01/15.\n37308,2021/01/15,\"I had oatmeal for breakfast with Piper, Avery, Lydia, Rylee, Nora, Eva\",\"I had oatmeal for breakfast with Piper, Avery, Lydia, Rylee, Nora, Eva\"\n37309,2021/01/15,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n37310,2021/01/15,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n37311,2021/01/15,\"I spent 36 talking to Eva, Nora on various topics in the early afternoon.\",\"I spent 36 talking to Eva, Nora on various topics in the early afternoon.\"\n37312,2021/01/15,I talked to Layla for 6 minutes in the late afternoon.,I talked to Layla for 6 minutes in the late afternoon.\n37313,2021/01/15,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n37314,2021/01/15,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n37315,2021/01/16,\"I ate Japanese food at Fangbang Xi Lu with Kayden, Carter, Emily on  2021/01/16 when I was in Shanghai, China.\",\"I ate Japanese food at Fangbang Xi Lu with Kayden, Carter, Emily on  2021/01/16 when I was in Shanghai, China.\"\n37316,2021/01/16,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n37317,2021/01/16,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n37318,2021/01/16,\"I had dinner with Claire, Piper, Nora. I ate steak.\",\"I had dinner with Claire, Piper, Nora. I ate steak.\"\n37319,2021/01/16,I talked to Lydia for 9 minutes in the morning.,I talked to Lydia for 9 minutes in the morning.\n37320,2021/01/16,\"I talked to Nevaeh, Avery, Rylee, Claire for 17 minutes in the early afternoon.\",\"I talked to Nevaeh, Avery, Rylee, Claire for 17 minutes in the early afternoon.\"\n37321,2021/01/16,I talked to Nora for 47 minutes during lunch hours.,I talked to Nora for 47 minutes during lunch hours.\n37322,2021/01/16,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n37323,2021/01/16,I watched a documentary for 41 minutes on TV today.,I watched a documentary for 41 minutes on TV today.\n37324,2021/01/17,\"I ate Chinese food at Fangbang Xi Lu with Kayden, Carter, Emily on  2021/01/17 when I was in Shanghai, China.\",\"I ate Chinese food at Fangbang Xi Lu with Kayden, Carter, Emily on  2021/01/17 when I was in Shanghai, China.\"\n37325,2021/01/17,\"I had oatmeal for breakfast with Emily, Andrew, Kayden, Carter\",\"I had oatmeal for breakfast with Emily, Andrew, Kayden, Carter\"\n37326,2021/01/17,I ate steak for lunch.,I ate steak for lunch.\n37327,2021/01/17,I had dinner with Andrew. I ate fish and chips.,I had dinner with Andrew. I ate fish and chips.\n37328,2021/01/17,I talked to Lydia for 28 minutes in the early evening.,I talked to Lydia for 28 minutes in the early evening.\n37329,2021/01/17,\"I spent 13 talking to Eva, Nevaeh, Rylee, Kinsley on various topics in the late afternoon.\",\"I spent 13 talking to Eva, Nevaeh, Rylee, Kinsley on various topics in the late afternoon.\"\n37330,2021/01/17,I spent 39 talking to Piper on various topics in the morning.,I spent 39 talking to Piper on various topics in the morning.\n37331,2021/01/17,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n37332,2021/01/17,I spent 47 minutes watching a movie on TV today.,I spent 47 minutes watching a movie on TV today.\n37333,2021/01/18,I spent some time learning a language on 2021/01/18.,I spent some time learning a language on 2021/01/18.\n37334,2021/01/18,I did running on 2021/01/18.,I did running on 2021/01/18.\n37335,2021/01/18,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n37336,2021/01/18,I prepare tacos for lunch.,I prepare tacos for lunch.\n37337,2021/01/18,\"I had a burger for dinner with Jackson, Benjamin, Avery\",\"I had a burger for dinner with Jackson, Benjamin, Avery\"\n37338,2021/01/18,\"I spent 18 talking to Avery, Lydia, Hazel, Rylee on various topics in the morning.\",\"I spent 18 talking to Avery, Lydia, Hazel, Rylee on various topics in the morning.\"\n37339,2021/01/18,\"I talked to Piper, Lydia, Nora for 30 minutes during lunch hours.\",\"I talked to Piper, Lydia, Nora for 30 minutes during lunch hours.\"\n37340,2021/01/18,\"I spent 36 talking to Piper, Claire, Layla on various topics in the early afternoon.\",\"I spent 36 talking to Piper, Claire, Layla on various topics in the early afternoon.\"\n37341,2021/01/18,\"I spent 50 talking to Layla, Lydia on various topics during lunch hours.\",\"I spent 50 talking to Layla, Lydia on various topics during lunch hours.\"\n37342,2021/01/18,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n37343,2021/01/18,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n37344,2021/01/19,I did weight lifting on 2021/01/19.,I did weight lifting on 2021/01/19.\n37345,2021/01/19,I had oatmeal for breakfast with Olivia,I had oatmeal for breakfast with Olivia\n37346,2021/01/19,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n37347,2021/01/19,\"I had indian food for dinner with Andrew, Carter\",\"I had indian food for dinner with Andrew, Carter\"\n37348,2021/01/19,\"I spent 38 talking to Layla, Eva, Piper, Nevaeh on various topics during lunch hours.\",\"I spent 38 talking to Layla, Eva, Piper, Nevaeh on various topics during lunch hours.\"\n37349,2021/01/19,\"I spent 46 talking to Eva, Piper on various topics during lunch hours.\",\"I spent 46 talking to Eva, Piper on various topics during lunch hours.\"\n37350,2021/01/19,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n37351,2021/01/19,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n37352,2021/01/20,I did weight lifting on 2021/01/20.,I did weight lifting on 2021/01/20.\n37353,2021/01/20,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n37354,2021/01/20,I prepare tacos for lunch.,I prepare tacos for lunch.\n37355,2021/01/20,I had tacos for dinner with Emily,I had tacos for dinner with Emily\n37356,2021/01/20,\"I spent 19 talking to Hazel, Claire, Eva on various topics during lunch hours.\",\"I spent 19 talking to Hazel, Claire, Eva on various topics during lunch hours.\"\n37357,2021/01/20,\"I talked to Kinsley, Rylee for 32 minutes in the early evening.\",\"I talked to Kinsley, Rylee for 32 minutes in the early evening.\"\n37358,2021/01/20,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n37359,2021/01/20,I watched news for 35 minutes on TV today.,I watched news for 35 minutes on TV today.\n37360,2021/01/21,\"I bought some bananas, nectarines, apples, apricots, guava juice, coffee, body lotion, toilet paper, shaving cream online.\",\"I bought some bananas, nectarines, apples, apricots, guava juice, coffee, body lotion, toilet paper, shaving cream online.\"\n37361,2021/01/21,I did weight lifting on 2021/01/21.,I did weight lifting on 2021/01/21.\n37362,2021/01/21,\"I had breakfast with Piper, Lydia, Rylee, Eva, Nevaeh. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Lydia, Rylee, Eva, Nevaeh. I ate eggs, sausages, and bread.\"\n37363,2021/01/21,I prepare tacos for lunch.,I prepare tacos for lunch.\n37364,2021/01/21,I had dinner with Carter. I ate fish and chips.,I had dinner with Carter. I ate fish and chips.\n37365,2021/01/21,\"I spent 8 talking to Nora, Rylee, Claire on various topics in the early evening.\",\"I spent 8 talking to Nora, Rylee, Claire on various topics in the early evening.\"\n37366,2021/01/21,\"I spent 14 talking to Kinsley, Avery, Olivia on various topics in the morning.\",\"I spent 14 talking to Kinsley, Avery, Olivia on various topics in the morning.\"\n37367,2021/01/21,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n37368,2021/01/21,I watched news for 51 minutes on TV today.,I watched news for 51 minutes on TV today.\n37369,2021/01/22,I spent time yoga on 2021/01/22 with Emily.,I spent time yoga on 2021/01/22 with Emily.\n37370,2021/01/22,I did weight lifting on 2021/01/22.,I did weight lifting on 2021/01/22.\n37371,2021/01/22,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n37372,2021/01/22,I prepare tacos for lunch.,I prepare tacos for lunch.\n37373,2021/01/22,\"I had dinner with Carter, Andrew, Kayden, Emily. I ate sandwich.\",\"I had dinner with Carter, Andrew, Kayden, Emily. I ate sandwich.\"\n37374,2021/01/22,\"I talked to Nora, Piper for 45 minutes in the late afternoon.\",\"I talked to Nora, Piper for 45 minutes in the late afternoon.\"\n37375,2021/01/22,\"I spent 42 talking to Rylee, Kinsley on various topics in the late afternoon.\",\"I spent 42 talking to Rylee, Kinsley on various topics in the late afternoon.\"\n37376,2021/01/22,\"I talked to Piper, Layla, Piper, Kinsley for 40 minutes late in the evening.\",\"I talked to Piper, Layla, Piper, Kinsley for 40 minutes late in the evening.\"\n37377,2021/01/22,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n37378,2021/01/22,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n37379,2021/01/23,I did HIIT on 2021/01/23.,I did HIIT on 2021/01/23.\n37380,2021/01/23,\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter\",\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter\"\n37381,2021/01/23,I prepare a burger for lunch.,I prepare a burger for lunch.\n37382,2021/01/23,I ate a burger for dinner.,I ate a burger for dinner.\n37383,2021/01/23,\"I spent 17 talking to Piper, Olivia, Avery on various topics in the early afternoon.\",\"I spent 17 talking to Piper, Olivia, Avery on various topics in the early afternoon.\"\n37384,2021/01/23,I spent 22 talking to Hazel on various topics late in the evening.,I spent 22 talking to Hazel on various topics late in the evening.\n37385,2021/01/23,\"I talked to Layla, Nora, Hazel, Piper for 44 minutes in the morning.\",\"I talked to Layla, Nora, Hazel, Piper for 44 minutes in the morning.\"\n37386,2021/01/23,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n37387,2021/01/23,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n37388,2021/01/24,I did HIIT on 2021/01/24.,I did HIIT on 2021/01/24.\n37389,2021/01/24,\"I had pancakes for breakfast with Kayden, Andrew, Carter\",\"I had pancakes for breakfast with Kayden, Andrew, Carter\"\n37390,2021/01/24,\"I had lunch with Andrew, Kayden, Emily. I ate pasta.\",\"I had lunch with Andrew, Kayden, Emily. I ate pasta.\"\n37391,2021/01/24,\"I had a burger for dinner with Piper, Nevaeh, Hazel, Claire, Eva, Lydia, Layla\",\"I had a burger for dinner with Piper, Nevaeh, Hazel, Claire, Eva, Lydia, Layla\"\n37392,2021/01/24,\"I spent 8 talking to Piper, Avery on various topics in the early afternoon.\",\"I spent 8 talking to Piper, Avery on various topics in the early afternoon.\"\n37393,2021/01/24,\"I spent 28 talking to Nevaeh, Kinsley on various topics during lunch hours.\",\"I spent 28 talking to Nevaeh, Kinsley on various topics during lunch hours.\"\n37394,2021/01/24,\"I spent 49 talking to Olivia, Piper, Hazel, Piper on various topics in the early afternoon.\",\"I spent 49 talking to Olivia, Piper, Hazel, Piper on various topics in the early afternoon.\"\n37395,2021/01/24,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n37396,2021/01/24,I watched a movie for 12 minutes on TV today.,I watched a movie for 12 minutes on TV today.\n37397,2021/01/25,I really enjoyed gardening on 2021/01/25,I really enjoyed gardening on 2021/01/25\n37398,2021/01/25,I did swimming on 2021/01/25.,I did swimming on 2021/01/25.\n37399,2021/01/25,\"I had breakfast with Jackson, Willow, Benjamin. I ate peanut-butter-jam.\",\"I had breakfast with Jackson, Willow, Benjamin. I ate peanut-butter-jam.\"\n37400,2021/01/25,\"I had fish and chips for lunch with Jackson, Avery, Benjamin, Willow\",\"I had fish and chips for lunch with Jackson, Avery, Benjamin, Willow\"\n37401,2021/01/25,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n37402,2021/01/25,\"I talked to Piper, Kinsley, Hazel for 31 minutes in the early evening.\",\"I talked to Piper, Kinsley, Hazel for 31 minutes in the early evening.\"\n37403,2021/01/25,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n37404,2021/01/25,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n37405,2021/01/26,\"I bought some raspberries, mineral water, toilet paper, mouthwash, facial wash from the grocery store. I saw Andrew, Kayden, Emily, Carter at the grocery store.\",\"I bought some raspberries, mineral water, toilet paper, mouthwash, facial wash from the grocery store. I saw Andrew, Kayden, Emily, Carter at the grocery store.\"\n37406,2021/01/26,I did running on 2021/01/26.,I did running on 2021/01/26.\n37407,2021/01/26,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n37408,2021/01/26,\"I had a burger for lunch with Kayden, Andrew, Carter\",\"I had a burger for lunch with Kayden, Andrew, Carter\"\n37409,2021/01/26,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n37410,2021/01/26,I spent 48 talking to Nevaeh on various topics in the early evening.,I spent 48 talking to Nevaeh on various topics in the early evening.\n37411,2021/01/26,\"I talked to Nevaeh, Olivia, Hazel, Kinsley for 16 minutes in the morning.\",\"I talked to Nevaeh, Olivia, Hazel, Kinsley for 16 minutes in the morning.\"\n37412,2021/01/26,\"I spent 38 talking to Eva, Kinsley, Layla, Olivia on various topics in the early evening.\",\"I spent 38 talking to Eva, Kinsley, Layla, Olivia on various topics in the early evening.\"\n37413,2021/01/26,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n37414,2021/01/26,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n37415,2021/01/27,I did swimming on 2021/01/27.,I did swimming on 2021/01/27.\n37416,2021/01/27,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n37417,2021/01/27,I had pasta for lunch with Andrew,I had pasta for lunch with Andrew\n37418,2021/01/27,I prepare a burger for dinner.,I prepare a burger for dinner.\n37419,2021/01/27,\"I talked to Hazel, Nora for 17 minutes during lunch hours.\",\"I talked to Hazel, Nora for 17 minutes during lunch hours.\"\n37420,2021/01/27,\"I talked to Eva, Kinsley, Rylee, Layla for 45 minutes in the morning.\",\"I talked to Eva, Kinsley, Rylee, Layla for 45 minutes in the morning.\"\n37421,2021/01/27,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n37422,2021/01/27,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n37423,2021/01/28,I did HIIT on 2021/01/28.,I did HIIT on 2021/01/28.\n37424,2021/01/28,\"I had eggs, sausages, and bread for breakfast with Andrew\",\"I had eggs, sausages, and bread for breakfast with Andrew\"\n37425,2021/01/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n37426,2021/01/28,I ate pasta for dinner.,I ate pasta for dinner.\n37427,2021/01/28,\"I spent 28 talking to Lydia, Olivia on various topics late in the evening.\",\"I spent 28 talking to Lydia, Olivia on various topics late in the evening.\"\n37428,2021/01/28,\"I talked to Lydia, Rylee, Piper, Nevaeh for 18 minutes late in the evening.\",\"I talked to Lydia, Rylee, Piper, Nevaeh for 18 minutes late in the evening.\"\n37429,2021/01/28,\"I spent 6 talking to Piper, Eva on various topics in the early afternoon.\",\"I spent 6 talking to Piper, Eva on various topics in the early afternoon.\"\n37430,2021/01/28,\"I talked to Claire, Avery, Piper, Hazel for 38 minutes late in the evening.\",\"I talked to Claire, Avery, Piper, Hazel for 38 minutes late in the evening.\"\n37431,2021/01/28,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n37432,2021/01/28,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n37433,2021/01/29,I did hiking on 2021/01/29.,I did hiking on 2021/01/29.\n37434,2021/01/29,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n37435,2021/01/29,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n37436,2021/01/29,I prepare sushi for dinner.,I prepare sushi for dinner.\n37437,2021/01/29,\"I spent 22 talking to Hazel, Nora on various topics during lunch hours.\",\"I spent 22 talking to Hazel, Nora on various topics during lunch hours.\"\n37438,2021/01/29,I talked to Nora for 19 minutes in the early evening.,I talked to Nora for 19 minutes in the early evening.\n37439,2021/01/29,\"I spent 6 talking to Lydia, Nevaeh, Olivia on various topics late in the evening.\",\"I spent 6 talking to Lydia, Nevaeh, Olivia on various topics late in the evening.\"\n37440,2021/01/29,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n37441,2021/01/29,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n37442,2021/01/30,\"I bought some nectarines, apricots, apple juice, tea, chocolate milk, conditioner, body lotion, mouthwash online.\",\"I bought some nectarines, apricots, apple juice, tea, chocolate milk, conditioner, body lotion, mouthwash online.\"\n37443,2021/01/30,I did biking on 2021/01/30.,I did biking on 2021/01/30.\n37444,2021/01/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n37445,2021/01/30,\"I had lunch with Carter, Andrew, Emily, Kayden. I ate steak.\",\"I had lunch with Carter, Andrew, Emily, Kayden. I ate steak.\"\n37446,2021/01/30,\"I had fish and chips for dinner with Claire, Olivia, Layla, Kinsley, Nora, Lydia, Nevaeh\",\"I had fish and chips for dinner with Claire, Olivia, Layla, Kinsley, Nora, Lydia, Nevaeh\"\n37447,2021/01/30,\"I talked to Piper, Layla, Lydia for 27 minutes in the late afternoon.\",\"I talked to Piper, Layla, Lydia for 27 minutes in the late afternoon.\"\n37448,2021/01/30,\"I spent 32 talking to Avery, Claire on various topics in the early evening.\",\"I spent 32 talking to Avery, Claire on various topics in the early evening.\"\n37449,2021/01/30,\"I spent 6 talking to Nevaeh, Lydia on various topics in the early afternoon.\",\"I spent 6 talking to Nevaeh, Lydia on various topics in the early afternoon.\"\n37450,2021/01/30,\"I spent 35 talking to Piper, Hazel, Nevaeh on various topics during lunch hours.\",\"I spent 35 talking to Piper, Hazel, Nevaeh on various topics during lunch hours.\"\n37451,2021/01/30,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n37452,2021/01/30,I spent 8 minutes watching a movie on TV today.,I spent 8 minutes watching a movie on TV today.\n37453,2021/01/31,I did biking on 2021/01/31.,I did biking on 2021/01/31.\n37454,2021/01/31,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n37455,2021/01/31,\"I had lunch with Eva, Rylee, Piper, Hazel, Claire. I ate a burger.\",\"I had lunch with Eva, Rylee, Piper, Hazel, Claire. I ate a burger.\"\n37456,2021/01/31,\"I had dinner with Kayden, Carter, Andrew, Emily. I ate tacos.\",\"I had dinner with Kayden, Carter, Andrew, Emily. I ate tacos.\"\n37457,2021/01/31,I spent 49 talking to Rylee on various topics in the early evening.,I spent 49 talking to Rylee on various topics in the early evening.\n37458,2021/01/31,\"I talked to Rylee, Hazel, Avery, Eva for 31 minutes in the early evening.\",\"I talked to Rylee, Hazel, Avery, Eva for 31 minutes in the early evening.\"\n37459,2021/01/31,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n37460,2021/01/31,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n37461,2021/02/01,\"I entertained Andrew, Kayden, Emily at my place on 2021/02/01 and cook thai noodle salad\",\"I entertained Andrew, Kayden, Emily at my place on 2021/02/01 and cook thai noodle salad\"\n37462,2021/02/01,\"On 2021/02/01, I took Julian on a date to a coffee Shop\",\"On 2021/02/01, I took Julian on a date to a coffee Shop\"\n37463,2021/02/01,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n37464,2021/02/01,I had indian food for lunch with Emily,I had indian food for lunch with Emily\n37465,2021/02/01,I prepare indian food for dinner.,I prepare indian food for dinner.\n37466,2021/02/01,\"I spent 47 talking to Eva, Nora on various topics in the late afternoon.\",\"I spent 47 talking to Eva, Nora on various topics in the late afternoon.\"\n37467,2021/02/01,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n37468,2021/02/01,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n37469,2021/02/02,I did running on 2021/02/02.,I did running on 2021/02/02.\n37470,2021/02/02,\"I had breakfast with Nevaeh, Kinsley, Eva, Rylee, Lydia, Layla, Piper, Hazel. I ate cereals.\",\"I had breakfast with Nevaeh, Kinsley, Eva, Rylee, Lydia, Layla, Piper, Hazel. I ate cereals.\"\n37471,2021/02/02,\"I had indian food for lunch with Kayden, Carter, Emily, Andrew\",\"I had indian food for lunch with Kayden, Carter, Emily, Andrew\"\n37472,2021/02/02,\"I had sushi for dinner with Nora, Lydia, Olivia\",\"I had sushi for dinner with Nora, Lydia, Olivia\"\n37473,2021/02/02,I spent 12 talking to Claire on various topics in the early evening.,I spent 12 talking to Claire on various topics in the early evening.\n37474,2021/02/02,\"I spent 51 talking to Layla, Claire, Olivia on various topics in the early afternoon.\",\"I spent 51 talking to Layla, Claire, Olivia on various topics in the early afternoon.\"\n37475,2021/02/02,I talked to Piper for 12 minutes late in the evening.,I talked to Piper for 12 minutes late in the evening.\n37476,2021/02/02,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n37477,2021/02/02,I spent 47 minutes watching a movie on TV today.,I spent 47 minutes watching a movie on TV today.\n37478,2021/02/03,I did running on 2021/02/03.,I did running on 2021/02/03.\n37479,2021/02/03,\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate oatmeal.\",\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate oatmeal.\"\n37480,2021/02/03,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n37481,2021/02/03,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n37482,2021/02/03,\"I spent 39 talking to Olivia, Nevaeh, Layla on various topics in the early evening.\",\"I spent 39 talking to Olivia, Nevaeh, Layla on various topics in the early evening.\"\n37483,2021/02/03,\"I spent 9 talking to Piper, Hazel, Piper, Claire on various topics during lunch hours.\",\"I spent 9 talking to Piper, Hazel, Piper, Claire on various topics during lunch hours.\"\n37484,2021/02/03,\"I talked to Rylee, Claire, Lydia for 10 minutes in the late afternoon.\",\"I talked to Rylee, Claire, Lydia for 10 minutes in the late afternoon.\"\n37485,2021/02/03,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n37486,2021/02/03,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n37487,2021/02/04,I really enjoyed learning a language on 2021/02/04,I really enjoyed learning a language on 2021/02/04\n37488,2021/02/04,\"I went grocery shopping with Kayden. I bought some guava, mangos, soda, mango juice, apple juice, and conditioner, toothbrush, body lotion\",\"I went grocery shopping with Kayden. I bought some guava, mangos, soda, mango juice, apple juice, and conditioner, toothbrush, body lotion\"\n37489,2021/02/04,I did HIIT on 2021/02/04.,I did HIIT on 2021/02/04.\n37490,2021/02/04,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n37491,2021/02/04,\"I had lunch with Kayden, Emily, Andrew. I ate fish and chips.\",\"I had lunch with Kayden, Emily, Andrew. I ate fish and chips.\"\n37492,2021/02/04,I prepare sushi for dinner.,I prepare sushi for dinner.\n37493,2021/02/04,\"I spent 28 talking to Avery, Piper on various topics during lunch hours.\",\"I spent 28 talking to Avery, Piper on various topics during lunch hours.\"\n37494,2021/02/04,\"I spent 35 talking to Hazel, Olivia on various topics late in the evening.\",\"I spent 35 talking to Hazel, Olivia on various topics late in the evening.\"\n37495,2021/02/04,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n37496,2021/02/04,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n37497,2021/02/05,\"On 2021/02/05, I took Ruby on a date to a boba shop\",\"On 2021/02/05, I took Ruby on a date to a boba shop\"\n37498,2021/02/05,I did hiking on 2021/02/05.,I did hiking on 2021/02/05.\n37499,2021/02/05,\"I had oatmeal for breakfast with Willow, Jackson\",\"I had oatmeal for breakfast with Willow, Jackson\"\n37500,2021/02/05,I ate indian food for lunch.,I ate indian food for lunch.\n37501,2021/02/05,I prepare a burger for dinner.,I prepare a burger for dinner.\n37502,2021/02/05,\"I spent 34 talking to Claire, Avery, Kinsley, Rylee on various topics in the late afternoon.\",\"I spent 34 talking to Claire, Avery, Kinsley, Rylee on various topics in the late afternoon.\"\n37503,2021/02/05,I talked to Nora for 42 minutes late in the evening.,I talked to Nora for 42 minutes late in the evening.\n37504,2021/02/05,\"I talked to Nevaeh, Kinsley, Claire, Hazel for 21 minutes in the late afternoon.\",\"I talked to Nevaeh, Kinsley, Claire, Hazel for 21 minutes in the late afternoon.\"\n37505,2021/02/05,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n37506,2021/02/05,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n37507,2021/02/06,I did biking on 2021/02/06.,I did biking on 2021/02/06.\n37508,2021/02/06,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n37509,2021/02/06,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n37510,2021/02/06,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n37511,2021/02/06,\"I spent 43 talking to Layla, Rylee, Lydia, Avery on various topics in the morning.\",\"I spent 43 talking to Layla, Rylee, Lydia, Avery on various topics in the morning.\"\n37512,2021/02/06,I spent 51 talking to Olivia on various topics in the early evening.,I spent 51 talking to Olivia on various topics in the early evening.\n37513,2021/02/06,\"I spent 17 talking to Nevaeh, Piper on various topics in the early evening.\",\"I spent 17 talking to Nevaeh, Piper on various topics in the early evening.\"\n37514,2021/02/06,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n37515,2021/02/06,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n37516,2021/02/07,I did biking on 2021/02/07.,I did biking on 2021/02/07.\n37517,2021/02/07,\"I had toast and cheese for breakfast with Andrew, Emily, Carter, Kayden\",\"I had toast and cheese for breakfast with Andrew, Emily, Carter, Kayden\"\n37518,2021/02/07,I ate a burger for lunch.,I ate a burger for lunch.\n37519,2021/02/07,I had fish and chips for dinner with Willow,I had fish and chips for dinner with Willow\n37520,2021/02/07,\"I talked to Kinsley, Lydia, Nevaeh, Hazel for 7 minutes in the late afternoon.\",\"I talked to Kinsley, Lydia, Nevaeh, Hazel for 7 minutes in the late afternoon.\"\n37521,2021/02/07,\"I talked to Nevaeh, Olivia, Avery for 32 minutes in the morning.\",\"I talked to Nevaeh, Olivia, Avery for 32 minutes in the morning.\"\n37522,2021/02/07,I spent 36 talking to Claire on various topics during lunch hours.,I spent 36 talking to Claire on various topics during lunch hours.\n37523,2021/02/07,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n37524,2021/02/07,I watched news for 51 minutes on TV today.,I watched news for 51 minutes on TV today.\n37525,2021/02/08,I did swimming on 2021/02/08.,I did swimming on 2021/02/08.\n37526,2021/02/08,\"I had cereals for breakfast with Andrew, Carter, Emily, Kayden\",\"I had cereals for breakfast with Andrew, Carter, Emily, Kayden\"\n37527,2021/02/08,I ate sushi for lunch.,I ate sushi for lunch.\n37528,2021/02/08,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n37529,2021/02/08,I talked to Nora for 47 minutes during lunch hours.,I talked to Nora for 47 minutes during lunch hours.\n37530,2021/02/08,\"I spent 38 talking to Hazel, Olivia, Nevaeh, Nora on various topics in the morning.\",\"I spent 38 talking to Hazel, Olivia, Nevaeh, Nora on various topics in the morning.\"\n37531,2021/02/08,\"I talked to Hazel, Claire, Kinsley for 32 minutes in the early afternoon.\",\"I talked to Hazel, Claire, Kinsley for 32 minutes in the early afternoon.\"\n37532,2021/02/08,\"I spent 41 talking to Kinsley, Layla on various topics in the morning.\",\"I spent 41 talking to Kinsley, Layla on various topics in the morning.\"\n37533,2021/02/08,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n37534,2021/02/08,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n37535,2021/02/09,I went on a date with Gabriel on 2021/02/09 at a restaurant,I went on a date with Gabriel on 2021/02/09 at a restaurant\n37536,2021/02/09,I did weight lifting on 2021/02/09.,I did weight lifting on 2021/02/09.\n37537,2021/02/09,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n37538,2021/02/09,\"I had lunch with Kayden, Andrew, Emily. I ate fish and chips.\",\"I had lunch with Kayden, Andrew, Emily. I ate fish and chips.\"\n37539,2021/02/09,I had fish and chips for dinner with Carter,I had fish and chips for dinner with Carter\n37540,2021/02/09,\"I talked to Olivia, Piper for 24 minutes in the late afternoon.\",\"I talked to Olivia, Piper for 24 minutes in the late afternoon.\"\n37541,2021/02/09,\"I spent 49 talking to Piper, Piper on various topics in the early evening.\",\"I spent 49 talking to Piper, Piper on various topics in the early evening.\"\n37542,2021/02/09,\"I talked to Rylee, Avery, Nora, Kinsley for 19 minutes in the early evening.\",\"I talked to Rylee, Avery, Nora, Kinsley for 19 minutes in the early evening.\"\n37543,2021/02/09,I spent 41 talking to Hazel on various topics late in the evening.,I spent 41 talking to Hazel on various topics late in the evening.\n37544,2021/02/09,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n37545,2021/02/09,I watched a tv series for 5 minutes on TV today.,I watched a tv series for 5 minutes on TV today.\n37546,2021/02/10,I took Emily for his/her  for an annual physical checkup on 2021/02/10 at the university hospital.,I took Emily for his/her  for an annual physical checkup on 2021/02/10 at the university hospital.\n37547,2021/02/10,\"I bought some pears, blackberries, tea, orange juice, facial wash, shampoo online.\",\"I bought some pears, blackberries, tea, orange juice, facial wash, shampoo online.\"\n37548,2021/02/10,I did swimming on 2021/02/10.,I did swimming on 2021/02/10.\n37549,2021/02/10,\"I had pancakes for breakfast with Jackson, Avery\",\"I had pancakes for breakfast with Jackson, Avery\"\n37550,2021/02/10,\"I had steak for lunch with Emily, Carter\",\"I had steak for lunch with Emily, Carter\"\n37551,2021/02/10,\"I had a burger for dinner with Layla, Hazel, Olivia, Avery, Piper, Eva, Kinsley, Piper, Nevaeh\",\"I had a burger for dinner with Layla, Hazel, Olivia, Avery, Piper, Eva, Kinsley, Piper, Nevaeh\"\n37552,2021/02/10,\"I talked to Avery, Rylee, Nevaeh for 36 minutes during lunch hours.\",\"I talked to Avery, Rylee, Nevaeh for 36 minutes during lunch hours.\"\n37553,2021/02/10,\"I talked to Piper, Kinsley, Avery, Piper for 37 minutes in the late afternoon.\",\"I talked to Piper, Kinsley, Avery, Piper for 37 minutes in the late afternoon.\"\n37554,2021/02/10,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n37555,2021/02/10,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n37556,2021/02/11,I did biking on 2021/02/11.,I did biking on 2021/02/11.\n37557,2021/02/11,\"I had breakfast with Emily, Kayden, Andrew. I ate toast and cheese.\",\"I had breakfast with Emily, Kayden, Andrew. I ate toast and cheese.\"\n37558,2021/02/11,I ate indian food for lunch.,I ate indian food for lunch.\n37559,2021/02/11,\"I had dinner with Olivia, Claire, Piper, Avery, Nora, Kinsley, Rylee, Nevaeh, Hazel, Piper, Lydia. I ate a burger.\",\"I had dinner with Olivia, Claire, Piper, Avery, Nora, Kinsley, Rylee, Nevaeh, Hazel, Piper, Lydia. I ate a burger.\"\n37560,2021/02/11,\"I spent 11 talking to Hazel, Piper, Eva, Lydia on various topics in the morning.\",\"I spent 11 talking to Hazel, Piper, Eva, Lydia on various topics in the morning.\"\n37561,2021/02/11,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n37562,2021/02/11,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n37563,2021/02/12,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n37564,2021/02/12,I had lunch. I ate steak.,I had lunch. I ate steak.\n37565,2021/02/12,I ate sushi for dinner.,I ate sushi for dinner.\n37566,2021/02/12,\"I spent 35 talking to Piper, Nora on various topics in the early evening.\",\"I spent 35 talking to Piper, Nora on various topics in the early evening.\"\n37567,2021/02/12,I spent 7 talking to Olivia on various topics in the early evening.,I spent 7 talking to Olivia on various topics in the early evening.\n37568,2021/02/12,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n37569,2021/02/12,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n37570,2021/02/13,\"I bought some raspberries, soda, shampoo, mouthwash online.\",\"I bought some raspberries, soda, shampoo, mouthwash online.\"\n37571,2021/02/13,I did biking on 2021/02/13.,I did biking on 2021/02/13.\n37572,2021/02/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n37573,2021/02/13,I ate sandwich for lunch.,I ate sandwich for lunch.\n37574,2021/02/13,\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate pasta.\",\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate pasta.\"\n37575,2021/02/13,\"I spent 42 talking to Piper, Olivia on various topics in the early afternoon.\",\"I spent 42 talking to Piper, Olivia on various topics in the early afternoon.\"\n37576,2021/02/13,\"I spent 23 talking to Hazel, Avery, Kinsley, Nevaeh on various topics in the morning.\",\"I spent 23 talking to Hazel, Avery, Kinsley, Nevaeh on various topics in the morning.\"\n37577,2021/02/13,\"I spent 30 talking to Claire, Lydia, Nevaeh, Avery on various topics in the morning.\",\"I spent 30 talking to Claire, Lydia, Nevaeh, Avery on various topics in the morning.\"\n37578,2021/02/13,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n37579,2021/02/13,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n37580,2021/02/14,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n37581,2021/02/14,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n37582,2021/02/14,I prepare steak for dinner.,I prepare steak for dinner.\n37583,2021/02/14,\"I talked to Piper, Kinsley, Piper for 40 minutes during lunch hours.\",\"I talked to Piper, Kinsley, Piper for 40 minutes during lunch hours.\"\n37584,2021/02/14,\"I spent 49 talking to Avery, Hazel on various topics in the late afternoon.\",\"I spent 49 talking to Avery, Hazel on various topics in the late afternoon.\"\n37585,2021/02/14,\"I spent 10 talking to Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 10 talking to Nevaeh, Piper on various topics in the early afternoon.\"\n37586,2021/02/14,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n37587,2021/02/14,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n37588,2021/02/15,I did running on 2021/02/15.,I did running on 2021/02/15.\n37589,2021/02/15,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n37590,2021/02/15,I prepare indian food for lunch.,I prepare indian food for lunch.\n37591,2021/02/15,I had dinner with Emily. I ate indian food.,I had dinner with Emily. I ate indian food.\n37592,2021/02/15,\"I talked to Olivia, Nora for 51 minutes late in the evening.\",\"I talked to Olivia, Nora for 51 minutes late in the evening.\"\n37593,2021/02/15,\"I talked to Hazel, Avery, Nevaeh for 6 minutes in the morning.\",\"I talked to Hazel, Avery, Nevaeh for 6 minutes in the morning.\"\n37594,2021/02/15,\"I spent 46 talking to Piper, Piper on various topics in the early afternoon.\",\"I spent 46 talking to Piper, Piper on various topics in the early afternoon.\"\n37595,2021/02/15,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n37596,2021/02/15,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n37597,2021/02/16,I did HIIT on 2021/02/16.,I did HIIT on 2021/02/16.\n37598,2021/02/16,\"I had eggs, sausages, and bread for breakfast with Rylee, Lydia, Piper\",\"I had eggs, sausages, and bread for breakfast with Rylee, Lydia, Piper\"\n37599,2021/02/16,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n37600,2021/02/16,\"I had chinese food for dinner with Andrew, Emily\",\"I had chinese food for dinner with Andrew, Emily\"\n37601,2021/02/16,\"I spent 30 talking to Rylee, Claire on various topics in the late afternoon.\",\"I spent 30 talking to Rylee, Claire on various topics in the late afternoon.\"\n37602,2021/02/16,\"I spent 53 talking to Avery, Hazel, Lydia on various topics in the late afternoon.\",\"I spent 53 talking to Avery, Hazel, Lydia on various topics in the late afternoon.\"\n37603,2021/02/16,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n37604,2021/02/16,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n37605,2021/02/17,I did HIIT on 2021/02/17.,I did HIIT on 2021/02/17.\n37606,2021/02/17,\"I had pancakes for breakfast with Kayden, Andrew, Carter\",\"I had pancakes for breakfast with Kayden, Andrew, Carter\"\n37607,2021/02/17,\"I had sandwich for lunch with Claire, Nevaeh, Eva, Piper, Hazel, Avery, Lydia, Kinsley, Layla, Nora, Rylee, Olivia, Piper\",\"I had sandwich for lunch with Claire, Nevaeh, Eva, Piper, Hazel, Avery, Lydia, Kinsley, Layla, Nora, Rylee, Olivia, Piper\"\n37608,2021/02/17,I prepare pasta for dinner.,I prepare pasta for dinner.\n37609,2021/02/17,\"I talked to Rylee, Eva for 44 minutes during lunch hours.\",\"I talked to Rylee, Eva for 44 minutes during lunch hours.\"\n37610,2021/02/17,\"I talked to Piper, Piper for 52 minutes in the early afternoon.\",\"I talked to Piper, Piper for 52 minutes in the early afternoon.\"\n37611,2021/02/17,\"I spent 39 talking to Nevaeh, Rylee on various topics in the late afternoon.\",\"I spent 39 talking to Nevaeh, Rylee on various topics in the late afternoon.\"\n37612,2021/02/17,I spent 50 minutes on a book today.,I spent 50 minutes on a book today.\n37613,2021/02/17,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n37614,2021/02/18,\"On 2021/02/18, I took Jose on a date to a restaurant\",\"On 2021/02/18, I took Jose on a date to a restaurant\"\n37615,2021/02/18,I did biking on 2021/02/18.,I did biking on 2021/02/18.\n37616,2021/02/18,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n37617,2021/02/18,\"I had lunch with Carter, Andrew. I ate sandwich.\",\"I had lunch with Carter, Andrew. I ate sandwich.\"\n37618,2021/02/18,I prepare sushi for dinner.,I prepare sushi for dinner.\n37619,2021/02/18,\"I spent 13 talking to Nevaeh, Rylee, Olivia on various topics in the morning.\",\"I spent 13 talking to Nevaeh, Rylee, Olivia on various topics in the morning.\"\n37620,2021/02/18,I talked to Piper for 35 minutes during lunch hours.,I talked to Piper for 35 minutes during lunch hours.\n37621,2021/02/18,\"I talked to Nora, Hazel, Layla, Piper for 30 minutes during lunch hours.\",\"I talked to Nora, Hazel, Layla, Piper for 30 minutes during lunch hours.\"\n37622,2021/02/18,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n37623,2021/02/18,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n37624,2021/02/19,I did swimming on 2021/02/19.,I did swimming on 2021/02/19.\n37625,2021/02/19,\"I had oatmeal for breakfast with Andrew, Kayden\",\"I had oatmeal for breakfast with Andrew, Kayden\"\n37626,2021/02/19,I had lunch with Olivia. I ate sandwich.,I had lunch with Olivia. I ate sandwich.\n37627,2021/02/19,\"I had dinner with Andrew, Emily, Kayden, Carter. I ate tacos.\",\"I had dinner with Andrew, Emily, Kayden, Carter. I ate tacos.\"\n37628,2021/02/19,\"I spent 34 talking to Nevaeh, Rylee on various topics in the morning.\",\"I spent 34 talking to Nevaeh, Rylee on various topics in the morning.\"\n37629,2021/02/19,\"I talked to Nora, Kinsley for 52 minutes late in the evening.\",\"I talked to Nora, Kinsley for 52 minutes late in the evening.\"\n37630,2021/02/19,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n37631,2021/02/19,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n37632,2021/02/20,I had pancakes for breakfast with Carter,I had pancakes for breakfast with Carter\n37633,2021/02/20,I had lunch. I ate steak.,I had lunch. I ate steak.\n37634,2021/02/20,\"I had dinner with Carter, Kayden. I ate a burger.\",\"I had dinner with Carter, Kayden. I ate a burger.\"\n37635,2021/02/20,\"I spent 38 talking to Nora, Hazel on various topics in the early evening.\",\"I spent 38 talking to Nora, Hazel on various topics in the early evening.\"\n37636,2021/02/20,\"I spent 28 talking to Piper, Rylee, Hazel on various topics in the early evening.\",\"I spent 28 talking to Piper, Rylee, Hazel on various topics in the early evening.\"\n37637,2021/02/20,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n37638,2021/02/20,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n37639,2021/02/21,I did biking on 2021/02/21.,I did biking on 2021/02/21.\n37640,2021/02/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n37641,2021/02/21,I prepare tacos for lunch.,I prepare tacos for lunch.\n37642,2021/02/21,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n37643,2021/02/21,I spent 7 talking to Lydia on various topics in the morning.,I spent 7 talking to Lydia on various topics in the morning.\n37644,2021/02/21,\"I spent 10 talking to Nevaeh, Kinsley on various topics in the early afternoon.\",\"I spent 10 talking to Nevaeh, Kinsley on various topics in the early afternoon.\"\n37645,2021/02/21,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n37646,2021/02/21,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n37647,2021/02/22,\"I went grocery shopping. I bought some bananas, mineral water, mango juice, coffee, chocolate milk, and mouth wash\",\"I went grocery shopping. I bought some bananas, mineral water, mango juice, coffee, chocolate milk, and mouth wash\"\n37648,2021/02/22,I did biking on 2021/02/22.,I did biking on 2021/02/22.\n37649,2021/02/22,I had oatmeal for breakfast with Carter,I had oatmeal for breakfast with Carter\n37650,2021/02/22,I ate a burger for lunch.,I ate a burger for lunch.\n37651,2021/02/22,I ate pasta for dinner.,I ate pasta for dinner.\n37652,2021/02/22,I talked to Piper for 50 minutes in the late afternoon.,I talked to Piper for 50 minutes in the late afternoon.\n37653,2021/02/22,\"I talked to Lydia, Rylee for 9 minutes in the morning.\",\"I talked to Lydia, Rylee for 9 minutes in the morning.\"\n37654,2021/02/22,I talked to Piper for 22 minutes in the early afternoon.,I talked to Piper for 22 minutes in the early afternoon.\n37655,2021/02/22,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n37656,2021/02/22,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n37657,2021/02/23,I went for an annual physical checkup on 2021/02/23 at the private clinic.,I went for an annual physical checkup on 2021/02/23 at the private clinic.\n37658,2021/02/23,I did swimming on 2021/02/23.,I did swimming on 2021/02/23.\n37659,2021/02/23,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n37660,2021/02/23,I ate a burger for lunch.,I ate a burger for lunch.\n37661,2021/02/23,I prepare a burger for dinner.,I prepare a burger for dinner.\n37662,2021/02/23,\"I spent 47 talking to Hazel, Eva, Nora on various topics in the late afternoon.\",\"I spent 47 talking to Hazel, Eva, Nora on various topics in the late afternoon.\"\n37663,2021/02/23,\"I spent 37 talking to Rylee, Nevaeh, Nora, Layla on various topics in the early afternoon.\",\"I spent 37 talking to Rylee, Nevaeh, Nora, Layla on various topics in the early afternoon.\"\n37664,2021/02/23,\"I talked to Avery, Layla for 42 minutes in the early evening.\",\"I talked to Avery, Layla for 42 minutes in the early evening.\"\n37665,2021/02/23,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n37666,2021/02/23,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n37667,2021/02/24,I did hiking on 2021/02/24.,I did hiking on 2021/02/24.\n37668,2021/02/24,I had peanut-butter-jam for breakfast with Andrew,I had peanut-butter-jam for breakfast with Andrew\n37669,2021/02/24,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n37670,2021/02/24,I had dinner with Jackson. I ate steak.,I had dinner with Jackson. I ate steak.\n37671,2021/02/24,\"I spent 45 talking to Layla, Olivia, Eva on various topics in the late afternoon.\",\"I spent 45 talking to Layla, Olivia, Eva on various topics in the late afternoon.\"\n37672,2021/02/24,\"I talked to Layla, Hazel for 8 minutes during lunch hours.\",\"I talked to Layla, Hazel for 8 minutes during lunch hours.\"\n37673,2021/02/24,I spent 42 talking to Avery on various topics in the early afternoon.,I spent 42 talking to Avery on various topics in the early afternoon.\n37674,2021/02/24,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n37675,2021/02/24,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n37676,2021/02/25,I did weight lifting on 2021/02/25.,I did weight lifting on 2021/02/25.\n37677,2021/02/25,\"I had breakfast with Layla, Piper, Lydia, Hazel, Avery, Eva, Nora. I ate cereals.\",\"I had breakfast with Layla, Piper, Lydia, Hazel, Avery, Eva, Nora. I ate cereals.\"\n37678,2021/02/25,I prepare a burger for lunch.,I prepare a burger for lunch.\n37679,2021/02/25,I ate steak for dinner.,I ate steak for dinner.\n37680,2021/02/25,\"I spent 38 talking to Rylee, Lydia, Hazel on various topics in the late afternoon.\",\"I spent 38 talking to Rylee, Lydia, Hazel on various topics in the late afternoon.\"\n37681,2021/02/25,I talked to Kinsley for 43 minutes in the early evening.,I talked to Kinsley for 43 minutes in the early evening.\n37682,2021/02/25,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n37683,2021/02/25,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n37684,2021/02/26,I did HIIT on 2021/02/26.,I did HIIT on 2021/02/26.\n37685,2021/02/26,\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden, Andrew\",\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden, Andrew\"\n37686,2021/02/26,I prepare sushi for lunch.,I prepare sushi for lunch.\n37687,2021/02/26,I ate chinese food for dinner.,I ate chinese food for dinner.\n37688,2021/02/26,\"I spent 37 talking to Hazel, Rylee, Piper on various topics late in the evening.\",\"I spent 37 talking to Hazel, Rylee, Piper on various topics late in the evening.\"\n37689,2021/02/26,\"I talked to Avery, Piper for 50 minutes in the early evening.\",\"I talked to Avery, Piper for 50 minutes in the early evening.\"\n37690,2021/02/26,\"I spent 18 talking to Nevaeh, Avery, Claire, Olivia on various topics in the late afternoon.\",\"I spent 18 talking to Nevaeh, Avery, Claire, Olivia on various topics in the late afternoon.\"\n37691,2021/02/26,I talked to Lydia for 38 minutes during lunch hours.,I talked to Lydia for 38 minutes during lunch hours.\n37692,2021/02/26,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n37693,2021/02/26,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n37694,2021/02/27,I spent some time working out on 2021/02/27.,I spent some time working out on 2021/02/27.\n37695,2021/02/27,I did biking on 2021/02/27.,I did biking on 2021/02/27.\n37696,2021/02/27,\"I had breakfast with Carter, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Emily. I ate eggs, sausages, and bread.\"\n37697,2021/02/27,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n37698,2021/02/27,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n37699,2021/02/27,\"I spent 9 talking to Piper, Lydia on various topics late in the evening.\",\"I spent 9 talking to Piper, Lydia on various topics late in the evening.\"\n37700,2021/02/27,\"I talked to Piper, Eva for 49 minutes in the early evening.\",\"I talked to Piper, Eva for 49 minutes in the early evening.\"\n37701,2021/02/27,\"I talked to Piper, Kinsley for 28 minutes in the late afternoon.\",\"I talked to Piper, Kinsley for 28 minutes in the late afternoon.\"\n37702,2021/02/27,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n37703,2021/02/27,I spent 29 minutes watching a movie on TV today.,I spent 29 minutes watching a movie on TV today.\n37704,2021/02/28,I took my parents for their for an annual dental cleaning and checkup on 2021/02/28 at the private clinic.,I took my parents for their for an annual dental cleaning and checkup on 2021/02/28 at the private clinic.\n37705,2021/02/28,I did weight lifting on 2021/02/28.,I did weight lifting on 2021/02/28.\n37706,2021/02/28,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n37707,2021/02/28,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n37708,2021/02/28,\"I had dinner with Avery, Benjamin, Willow, Jackson. I ate pasta.\",\"I had dinner with Avery, Benjamin, Willow, Jackson. I ate pasta.\"\n37709,2021/02/28,\"I talked to Kinsley, Piper for 13 minutes late in the evening.\",\"I talked to Kinsley, Piper for 13 minutes late in the evening.\"\n37710,2021/02/28,I spent 41 talking to Hazel on various topics in the late afternoon.,I spent 41 talking to Hazel on various topics in the late afternoon.\n37711,2021/02/28,\"I talked to Lydia, Piper, Piper for 12 minutes in the early evening.\",\"I talked to Lydia, Piper, Piper for 12 minutes in the early evening.\"\n37712,2021/02/28,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n37713,2021/02/28,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n37714,2021/03/01,\"On 2021/03/01, I took Isla on a date to a park\",\"On 2021/03/01, I took Isla on a date to a park\"\n37715,2021/03/01,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n37716,2021/03/01,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n37717,2021/03/01,I prepare indian food for dinner.,I prepare indian food for dinner.\n37718,2021/03/01,I talked to Hazel for 39 minutes in the morning.,I talked to Hazel for 39 minutes in the morning.\n37719,2021/03/01,I talked to Kinsley for 13 minutes in the late afternoon.,I talked to Kinsley for 13 minutes in the late afternoon.\n37720,2021/03/01,I talked to Hazel for 28 minutes in the morning.,I talked to Hazel for 28 minutes in the morning.\n37721,2021/03/01,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n37722,2021/03/01,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n37723,2021/03/02,\"I bought some blackberries, pineapples, mango juice, milk, soda, mineral water, mouth wash, mouthwash, toothpaste from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\",\"I bought some blackberries, pineapples, mango juice, milk, soda, mineral water, mouth wash, mouthwash, toothpaste from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\"\n37724,2021/03/02,I did weight lifting on 2021/03/02.,I did weight lifting on 2021/03/02.\n37725,2021/03/02,\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate oatmeal.\",\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate oatmeal.\"\n37726,2021/03/02,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n37727,2021/03/02,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n37728,2021/03/02,I spent 25 talking to Piper on various topics in the early afternoon.,I spent 25 talking to Piper on various topics in the early afternoon.\n37729,2021/03/02,\"I talked to Nevaeh, Olivia, Eva for 33 minutes in the early afternoon.\",\"I talked to Nevaeh, Olivia, Eva for 33 minutes in the early afternoon.\"\n37730,2021/03/02,\"I talked to Olivia, Nora for 41 minutes in the morning.\",\"I talked to Olivia, Nora for 41 minutes in the morning.\"\n37731,2021/03/02,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n37732,2021/03/02,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n37733,2021/03/03,I did HIIT on 2021/03/03.,I did HIIT on 2021/03/03.\n37734,2021/03/03,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n37735,2021/03/03,I ate chinese food for lunch.,I ate chinese food for lunch.\n37736,2021/03/03,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n37737,2021/03/03,I spent 13 talking to Nora on various topics during lunch hours.,I spent 13 talking to Nora on various topics during lunch hours.\n37738,2021/03/03,\"I spent 33 talking to Hazel, Avery, Piper on various topics in the late afternoon.\",\"I spent 33 talking to Hazel, Avery, Piper on various topics in the late afternoon.\"\n37739,2021/03/03,I talked to Eva for 5 minutes in the morning.,I talked to Eva for 5 minutes in the morning.\n37740,2021/03/03,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n37741,2021/03/03,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n37742,2021/03/04,I did running on 2021/03/04.,I did running on 2021/03/04.\n37743,2021/03/04,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n37744,2021/03/04,\"I had pasta for lunch with Carter, Andrew, Emily, Kayden\",\"I had pasta for lunch with Carter, Andrew, Emily, Kayden\"\n37745,2021/03/04,I ate chinese food for dinner.,I ate chinese food for dinner.\n37746,2021/03/04,I talked to Lydia for 24 minutes in the early evening.,I talked to Lydia for 24 minutes in the early evening.\n37747,2021/03/04,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n37748,2021/03/04,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n37749,2021/03/05,\"I went grocery shopping. I bought some clementines, pineapples, pears, mango juice, soda, and mouth wash\",\"I went grocery shopping. I bought some clementines, pineapples, pears, mango juice, soda, and mouth wash\"\n37750,2021/03/05,I did weight lifting on 2021/03/05.,I did weight lifting on 2021/03/05.\n37751,2021/03/05,\"I had peanut-butter-jam for breakfast with Emily, Carter, Kayden\",\"I had peanut-butter-jam for breakfast with Emily, Carter, Kayden\"\n37752,2021/03/05,\"I had lunch with Kayden, Emily. I ate indian food.\",\"I had lunch with Kayden, Emily. I ate indian food.\"\n37753,2021/03/05,\"I had dinner with Lydia, Piper, Nevaeh, Avery, Eva, Hazel, Nora, Kinsley, Claire. I ate a burger.\",\"I had dinner with Lydia, Piper, Nevaeh, Avery, Eva, Hazel, Nora, Kinsley, Claire. I ate a burger.\"\n37754,2021/03/05,\"I spent 21 talking to Hazel, Eva on various topics in the early afternoon.\",\"I spent 21 talking to Hazel, Eva on various topics in the early afternoon.\"\n37755,2021/03/05,\"I talked to Rylee, Nevaeh, Piper for 55 minutes in the early afternoon.\",\"I talked to Rylee, Nevaeh, Piper for 55 minutes in the early afternoon.\"\n37756,2021/03/05,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n37757,2021/03/05,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n37758,2021/03/06,I did weight lifting on 2021/03/06.,I did weight lifting on 2021/03/06.\n37759,2021/03/06,\"I had toast and cheese for breakfast with Carter, Kayden, Emily, Andrew\",\"I had toast and cheese for breakfast with Carter, Kayden, Emily, Andrew\"\n37760,2021/03/06,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n37761,2021/03/06,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n37762,2021/03/06,\"I spent 24 talking to Hazel, Nevaeh, Claire, Piper on various topics late in the evening.\",\"I spent 24 talking to Hazel, Nevaeh, Claire, Piper on various topics late in the evening.\"\n37763,2021/03/06,I spent 49 talking to Avery on various topics late in the evening.,I spent 49 talking to Avery on various topics late in the evening.\n37764,2021/03/06,\"I spent 25 talking to Piper, Lydia, Nora on various topics late in the evening.\",\"I spent 25 talking to Piper, Lydia, Nora on various topics late in the evening.\"\n37765,2021/03/06,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n37766,2021/03/06,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n37767,2021/03/07,\"On 2021/03/07, I took Athena on a date to a park\",\"On 2021/03/07, I took Athena on a date to a park\"\n37768,2021/03/07,I did weight lifting on 2021/03/07.,I did weight lifting on 2021/03/07.\n37769,2021/03/07,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n37770,2021/03/07,I ate a burger for lunch.,I ate a burger for lunch.\n37771,2021/03/07,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n37772,2021/03/07,\"I spent 12 talking to Eva, Rylee on various topics in the late afternoon.\",\"I spent 12 talking to Eva, Rylee on various topics in the late afternoon.\"\n37773,2021/03/07,\"I talked to Avery, Rylee, Piper, Olivia for 40 minutes in the early afternoon.\",\"I talked to Avery, Rylee, Piper, Olivia for 40 minutes in the early afternoon.\"\n37774,2021/03/07,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n37775,2021/03/07,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n37776,2021/03/08,I did running on 2021/03/08.,I did running on 2021/03/08.\n37777,2021/03/08,I had cereals for breakfast with Olivia,I had cereals for breakfast with Olivia\n37778,2021/03/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n37779,2021/03/08,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n37780,2021/03/08,I spent 31 talking to Avery on various topics in the early evening.,I spent 31 talking to Avery on various topics in the early evening.\n37781,2021/03/08,I spent 17 talking to Avery on various topics during lunch hours.,I spent 17 talking to Avery on various topics during lunch hours.\n37782,2021/03/08,I spent 35 talking to Layla on various topics in the late afternoon.,I spent 35 talking to Layla on various topics in the late afternoon.\n37783,2021/03/08,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n37784,2021/03/08,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n37785,2021/03/09,I did HIIT on 2021/03/09.,I did HIIT on 2021/03/09.\n37786,2021/03/09,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n37787,2021/03/09,\"I had tacos for lunch with Benjamin, Avery, Willow, Jackson\",\"I had tacos for lunch with Benjamin, Avery, Willow, Jackson\"\n37788,2021/03/09,\"I had dinner with Benjamin, Jackson, Willow. I ate sandwich.\",\"I had dinner with Benjamin, Jackson, Willow. I ate sandwich.\"\n37789,2021/03/09,I talked to Layla for 53 minutes during lunch hours.,I talked to Layla for 53 minutes during lunch hours.\n37790,2021/03/09,\"I talked to Nevaeh, Avery for 20 minutes in the early evening.\",\"I talked to Nevaeh, Avery for 20 minutes in the early evening.\"\n37791,2021/03/09,\"I spent 16 talking to Nevaeh, Lydia on various topics in the late afternoon.\",\"I spent 16 talking to Nevaeh, Lydia on various topics in the late afternoon.\"\n37792,2021/03/09,I spent 24 talking to Kinsley on various topics in the early evening.,I spent 24 talking to Kinsley on various topics in the early evening.\n37793,2021/03/09,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n37794,2021/03/09,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n37795,2021/03/10,\"I bought some nectarines, pears, guava, orange juice, chocolate milk, coffee, conditioner, toothpaste from the grocery store. I saw Kinsley at the grocery store.\",\"I bought some nectarines, pears, guava, orange juice, chocolate milk, coffee, conditioner, toothpaste from the grocery store. I saw Kinsley at the grocery store.\"\n37796,2021/03/10,I did running on 2021/03/10.,I did running on 2021/03/10.\n37797,2021/03/10,I had oatmeal for breakfast with Kayden,I had oatmeal for breakfast with Kayden\n37798,2021/03/10,\"I had chinese food for lunch with Carter, Emily, Kayden\",\"I had chinese food for lunch with Carter, Emily, Kayden\"\n37799,2021/03/10,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n37800,2021/03/10,\"I spent 10 talking to Piper, Eva, Claire on various topics in the early evening.\",\"I spent 10 talking to Piper, Eva, Claire on various topics in the early evening.\"\n37801,2021/03/10,\"I spent 37 talking to Claire, Layla, Eva on various topics in the early afternoon.\",\"I spent 37 talking to Claire, Layla, Eva on various topics in the early afternoon.\"\n37802,2021/03/10,\"I spent 26 talking to Piper, Rylee, Layla, Piper on various topics in the late afternoon.\",\"I spent 26 talking to Piper, Rylee, Layla, Piper on various topics in the late afternoon.\"\n37803,2021/03/10,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n37804,2021/03/10,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n37805,2021/03/11,I went on a date with Ellie on 2021/03/11 at a restaurant,I went on a date with Ellie on 2021/03/11 at a restaurant\n37806,2021/03/11,I spent time gardening on 2021/03/11 with Nevaeh.,I spent time gardening on 2021/03/11 with Nevaeh.\n37807,2021/03/11,I did HIIT on 2021/03/11.,I did HIIT on 2021/03/11.\n37808,2021/03/11,\"I had breakfast with Andrew, Emily, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Emily, Kayden. I ate eggs, sausages, and bread.\"\n37809,2021/03/11,I prepare indian food for lunch.,I prepare indian food for lunch.\n37810,2021/03/11,I prepare steak for dinner.,I prepare steak for dinner.\n37811,2021/03/11,\"I talked to Kinsley, Nora, Piper for 8 minutes in the morning.\",\"I talked to Kinsley, Nora, Piper for 8 minutes in the morning.\"\n37812,2021/03/11,I spent 11 talking to Kinsley on various topics in the morning.,I spent 11 talking to Kinsley on various topics in the morning.\n37813,2021/03/11,\"I spent 20 talking to Piper, Avery, Claire on various topics in the morning.\",\"I spent 20 talking to Piper, Avery, Claire on various topics in the morning.\"\n37814,2021/03/11,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n37815,2021/03/11,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n37816,2021/03/12,\"I bought some oranges, bananas, strawberries, pineapples, soda, guava juice, orange juice, shaving cream, toothbrush, toothpaste, body lotion online.\",\"I bought some oranges, bananas, strawberries, pineapples, soda, guava juice, orange juice, shaving cream, toothbrush, toothpaste, body lotion online.\"\n37817,2021/03/12,I did HIIT on 2021/03/12.,I did HIIT on 2021/03/12.\n37818,2021/03/12,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n37819,2021/03/12,\"I had steak for lunch with Andrew, Carter, Kayden, Emily\",\"I had steak for lunch with Andrew, Carter, Kayden, Emily\"\n37820,2021/03/12,\"I had dinner with Jackson, Willow. I ate chinese food.\",\"I had dinner with Jackson, Willow. I ate chinese food.\"\n37821,2021/03/12,\"I talked to Piper, Kinsley for 9 minutes in the late afternoon.\",\"I talked to Piper, Kinsley for 9 minutes in the late afternoon.\"\n37822,2021/03/12,I spent 29 talking to Layla on various topics in the late afternoon.,I spent 29 talking to Layla on various topics in the late afternoon.\n37823,2021/03/12,I talked to Hazel for 28 minutes during lunch hours.,I talked to Hazel for 28 minutes during lunch hours.\n37824,2021/03/12,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n37825,2021/03/12,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n37826,2021/03/13,I did HIIT on 2021/03/13.,I did HIIT on 2021/03/13.\n37827,2021/03/13,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n37828,2021/03/13,I had lunch with Andrew. I ate chinese food.,I had lunch with Andrew. I ate chinese food.\n37829,2021/03/13,I prepare indian food for dinner.,I prepare indian food for dinner.\n37830,2021/03/13,\"I talked to Avery, Olivia, Piper for 21 minutes in the late afternoon.\",\"I talked to Avery, Olivia, Piper for 21 minutes in the late afternoon.\"\n37831,2021/03/13,I talked to Piper for 48 minutes in the morning.,I talked to Piper for 48 minutes in the morning.\n37832,2021/03/13,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n37833,2021/03/13,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n37834,2021/03/14,I really enjoyed gardening on 2021/03/14,I really enjoyed gardening on 2021/03/14\n37835,2021/03/14,I did weight lifting on 2021/03/14.,I did weight lifting on 2021/03/14.\n37836,2021/03/14,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n37837,2021/03/14,\"I had fish and chips for lunch with Andrew, Carter, Emily, Kayden\",\"I had fish and chips for lunch with Andrew, Carter, Emily, Kayden\"\n37838,2021/03/14,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n37839,2021/03/14,I spent 47 talking to Nevaeh on various topics in the morning.,I spent 47 talking to Nevaeh on various topics in the morning.\n37840,2021/03/14,\"I spent 47 talking to Nevaeh, Piper, Claire, Olivia on various topics in the late afternoon.\",\"I spent 47 talking to Nevaeh, Piper, Claire, Olivia on various topics in the late afternoon.\"\n37841,2021/03/14,I spent 39 talking to Nevaeh on various topics in the early afternoon.,I spent 39 talking to Nevaeh on various topics in the early afternoon.\n37842,2021/03/14,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n37843,2021/03/14,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n37844,2021/03/15,\"I bought some strawberries, blackberries, soda, guava juice, chocolate milk, sports drinks, mouthwash, mouth wash, toothpaste online.\",\"I bought some strawberries, blackberries, soda, guava juice, chocolate milk, sports drinks, mouthwash, mouth wash, toothpaste online.\"\n37845,2021/03/15,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n37846,2021/03/15,I ate sushi for lunch.,I ate sushi for lunch.\n37847,2021/03/15,I ate indian food for dinner.,I ate indian food for dinner.\n37848,2021/03/15,\"I spent 51 talking to Nevaeh, Layla, Lydia, Hazel on various topics late in the evening.\",\"I spent 51 talking to Nevaeh, Layla, Lydia, Hazel on various topics late in the evening.\"\n37849,2021/03/15,\"I spent 53 talking to Olivia, Claire, Lydia on various topics during lunch hours.\",\"I spent 53 talking to Olivia, Claire, Lydia on various topics during lunch hours.\"\n37850,2021/03/15,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n37851,2021/03/15,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n37852,2021/03/16,\"I really enjoyed baking pistachio oat squares, dessert nachos on 2021/03/16 with Hazel, Layla, Avery at my place\",\"I really enjoyed baking pistachio oat squares, dessert nachos on 2021/03/16 with Hazel, Layla, Avery at my place\"\n37853,2021/03/16,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n37854,2021/03/16,I had lunch with Andrew. I ate chinese food.,I had lunch with Andrew. I ate chinese food.\n37855,2021/03/16,I ate tacos for dinner.,I ate tacos for dinner.\n37856,2021/03/16,\"I spent 48 talking to Piper, Claire on various topics in the early evening.\",\"I spent 48 talking to Piper, Claire on various topics in the early evening.\"\n37857,2021/03/16,\"I talked to Nora, Lydia, Nevaeh for 45 minutes during lunch hours.\",\"I talked to Nora, Lydia, Nevaeh for 45 minutes during lunch hours.\"\n37858,2021/03/16,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n37859,2021/03/16,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n37860,2021/03/17,I spent time yoga on 2021/03/17 with Andrew.,I spent time yoga on 2021/03/17 with Andrew.\n37861,2021/03/17,I did swimming on 2021/03/17.,I did swimming on 2021/03/17.\n37862,2021/03/17,\"I had breakfast with Claire, Piper, Hazel, Layla, Kinsley, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Claire, Piper, Hazel, Layla, Kinsley, Avery. I ate peanut-butter-jam.\"\n37863,2021/03/17,\"I had tacos for lunch with Emily, Carter\",\"I had tacos for lunch with Emily, Carter\"\n37864,2021/03/17,\"I had dinner with Willow, Jackson. I ate tacos.\",\"I had dinner with Willow, Jackson. I ate tacos.\"\n37865,2021/03/17,\"I talked to Claire, Rylee, Olivia for 18 minutes in the early evening.\",\"I talked to Claire, Rylee, Olivia for 18 minutes in the early evening.\"\n37866,2021/03/17,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n37867,2021/03/17,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n37868,2021/03/18,I did swimming on 2021/03/18.,I did swimming on 2021/03/18.\n37869,2021/03/18,\"I had breakfast with Kayden, Carter, Andrew, Emily. I ate cereals.\",\"I had breakfast with Kayden, Carter, Andrew, Emily. I ate cereals.\"\n37870,2021/03/18,I had sushi for lunch with Jackson,I had sushi for lunch with Jackson\n37871,2021/03/18,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n37872,2021/03/18,\"I talked to Rylee, Avery, Kinsley, Lydia for 52 minutes in the early evening.\",\"I talked to Rylee, Avery, Kinsley, Lydia for 52 minutes in the early evening.\"\n37873,2021/03/18,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n37874,2021/03/18,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n37875,2021/03/19,I did weight lifting on 2021/03/19.,I did weight lifting on 2021/03/19.\n37876,2021/03/19,\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin, Jackson, Avery\",\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin, Jackson, Avery\"\n37877,2021/03/19,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n37878,2021/03/19,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n37879,2021/03/19,\"I spent 39 talking to Hazel, Piper, Olivia, Eva on various topics late in the evening.\",\"I spent 39 talking to Hazel, Piper, Olivia, Eva on various topics late in the evening.\"\n37880,2021/03/19,\"I spent 45 talking to Lydia, Hazel on various topics in the early evening.\",\"I spent 45 talking to Lydia, Hazel on various topics in the early evening.\"\n37881,2021/03/19,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n37882,2021/03/19,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n37883,2021/03/20,I really enjoyed meditation on 2021/03/20,I really enjoyed meditation on 2021/03/20\n37884,2021/03/20,I did biking on 2021/03/20.,I did biking on 2021/03/20.\n37885,2021/03/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n37886,2021/03/20,\"I had indian food for lunch with Emily, Andrew, Kayden, Carter\",\"I had indian food for lunch with Emily, Andrew, Kayden, Carter\"\n37887,2021/03/20,I had dinner with Carter. I ate sushi.,I had dinner with Carter. I ate sushi.\n37888,2021/03/20,\"I talked to Lydia, Claire, Hazel for 30 minutes in the early afternoon.\",\"I talked to Lydia, Claire, Hazel for 30 minutes in the early afternoon.\"\n37889,2021/03/20,\"I talked to Claire, Olivia for 10 minutes late in the evening.\",\"I talked to Claire, Olivia for 10 minutes late in the evening.\"\n37890,2021/03/20,\"I talked to Kinsley, Piper for 28 minutes during lunch hours.\",\"I talked to Kinsley, Piper for 28 minutes during lunch hours.\"\n37891,2021/03/20,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n37892,2021/03/20,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n37893,2021/03/21,\"I went grocery shopping. I bought some cherres, milk, coffee, soda, and mouthwash\",\"I went grocery shopping. I bought some cherres, milk, coffee, soda, and mouthwash\"\n37894,2021/03/21,I did swimming on 2021/03/21.,I did swimming on 2021/03/21.\n37895,2021/03/21,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n37896,2021/03/21,I had lunch. I ate steak.,I had lunch. I ate steak.\n37897,2021/03/21,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n37898,2021/03/21,\"I talked to Hazel, Claire for 15 minutes in the late afternoon.\",\"I talked to Hazel, Claire for 15 minutes in the late afternoon.\"\n37899,2021/03/21,\"I talked to Kinsley, Piper, Piper for 31 minutes late in the evening.\",\"I talked to Kinsley, Piper, Piper for 31 minutes late in the evening.\"\n37900,2021/03/21,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n37901,2021/03/21,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n37902,2021/03/22,I went on a date with Mia on 2021/03/22 at a boba shop,I went on a date with Mia on 2021/03/22 at a boba shop\n37903,2021/03/22,I did running on 2021/03/22.,I did running on 2021/03/22.\n37904,2021/03/22,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n37905,2021/03/22,I had lunch. I ate steak.,I had lunch. I ate steak.\n37906,2021/03/22,\"I had dinner with Eva, Piper, Rylee, Olivia, Piper, Hazel, Avery. I ate a burger.\",\"I had dinner with Eva, Piper, Rylee, Olivia, Piper, Hazel, Avery. I ate a burger.\"\n37907,2021/03/22,\"I talked to Rylee, Avery, Piper for 41 minutes in the morning.\",\"I talked to Rylee, Avery, Piper for 41 minutes in the morning.\"\n37908,2021/03/22,\"I talked to Piper, Nevaeh for 30 minutes in the early afternoon.\",\"I talked to Piper, Nevaeh for 30 minutes in the early afternoon.\"\n37909,2021/03/22,\"I talked to Rylee, Olivia for 30 minutes during lunch hours.\",\"I talked to Rylee, Olivia for 30 minutes during lunch hours.\"\n37910,2021/03/22,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n37911,2021/03/22,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n37912,2021/03/23,I did hiking on 2021/03/23.,I did hiking on 2021/03/23.\n37913,2021/03/23,\"I had breakfast with Lydia, Nevaeh, Claire, Rylee, Olivia, Eva, Layla, Piper, Nora, Avery, Piper, Hazel, Kinsley. I ate oatmeal.\",\"I had breakfast with Lydia, Nevaeh, Claire, Rylee, Olivia, Eva, Layla, Piper, Nora, Avery, Piper, Hazel, Kinsley. I ate oatmeal.\"\n37914,2021/03/23,\"I had lunch with Layla, Piper, Olivia, Kinsley, Lydia, Rylee, Piper, Claire, Nora, Avery, Hazel, Nevaeh. I ate chinese food.\",\"I had lunch with Layla, Piper, Olivia, Kinsley, Lydia, Rylee, Piper, Claire, Nora, Avery, Hazel, Nevaeh. I ate chinese food.\"\n37915,2021/03/23,\"I had a burger for dinner with Kayden, Carter\",\"I had a burger for dinner with Kayden, Carter\"\n37916,2021/03/23,\"I spent 25 talking to Rylee, Kinsley, Nevaeh on various topics in the early afternoon.\",\"I spent 25 talking to Rylee, Kinsley, Nevaeh on various topics in the early afternoon.\"\n37917,2021/03/23,\"I spent 40 talking to Lydia, Rylee, Eva, Hazel on various topics in the early evening.\",\"I spent 40 talking to Lydia, Rylee, Eva, Hazel on various topics in the early evening.\"\n37918,2021/03/23,I spent 43 talking to Nevaeh on various topics in the morning.,I spent 43 talking to Nevaeh on various topics in the morning.\n37919,2021/03/23,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n37920,2021/03/23,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n37921,2021/03/24,I did weight lifting on 2021/03/24.,I did weight lifting on 2021/03/24.\n37922,2021/03/24,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n37923,2021/03/24,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n37924,2021/03/24,I ate pasta for dinner.,I ate pasta for dinner.\n37925,2021/03/24,\"I spent 47 talking to Kinsley, Hazel on various topics during lunch hours.\",\"I spent 47 talking to Kinsley, Hazel on various topics during lunch hours.\"\n37926,2021/03/24,\"I spent 10 talking to Kinsley, Piper on various topics in the morning.\",\"I spent 10 talking to Kinsley, Piper on various topics in the morning.\"\n37927,2021/03/24,\"I spent 8 talking to Nora, Avery, Rylee, Kinsley on various topics in the early afternoon.\",\"I spent 8 talking to Nora, Avery, Rylee, Kinsley on various topics in the early afternoon.\"\n37928,2021/03/24,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n37929,2021/03/24,I spent 29 minutes watching news on TV today.,I spent 29 minutes watching news on TV today.\n37930,2021/03/25,\"I spent time yoga on 2021/03/25 with Avery, Willow.\",\"I spent time yoga on 2021/03/25 with Avery, Willow.\"\n37931,2021/03/25,I did swimming on 2021/03/25.,I did swimming on 2021/03/25.\n37932,2021/03/25,\"I had cereals for breakfast with Claire, Avery, Lydia, Nevaeh, Kinsley, Eva, Piper, Layla, Nora, Hazel\",\"I had cereals for breakfast with Claire, Avery, Lydia, Nevaeh, Kinsley, Eva, Piper, Layla, Nora, Hazel\"\n37933,2021/03/25,I ate sushi for lunch.,I ate sushi for lunch.\n37934,2021/03/25,I had dinner. I ate steak.,I had dinner. I ate steak.\n37935,2021/03/25,\"I spent 10 talking to Lydia, Piper, Avery, Piper on various topics during lunch hours.\",\"I spent 10 talking to Lydia, Piper, Avery, Piper on various topics during lunch hours.\"\n37936,2021/03/25,\"I spent 46 talking to Olivia, Nora, Avery on various topics late in the evening.\",\"I spent 46 talking to Olivia, Nora, Avery on various topics late in the evening.\"\n37937,2021/03/25,I spent 40 talking to Piper on various topics in the early evening.,I spent 40 talking to Piper on various topics in the early evening.\n37938,2021/03/25,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n37939,2021/03/25,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n37940,2021/03/26,I entertained Carter at my place on 2021/03/26 and bake blackberry-raspberry skillet cobbler,I entertained Carter at my place on 2021/03/26 and bake blackberry-raspberry skillet cobbler\n37941,2021/03/26,I did biking on 2021/03/26.,I did biking on 2021/03/26.\n37942,2021/03/26,\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate oatmeal.\",\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate oatmeal.\"\n37943,2021/03/26,I had lunch. I ate steak.,I had lunch. I ate steak.\n37944,2021/03/26,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n37945,2021/03/26,\"I spent 16 talking to Kinsley, Layla on various topics in the early evening.\",\"I spent 16 talking to Kinsley, Layla on various topics in the early evening.\"\n37946,2021/03/26,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n37947,2021/03/26,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n37948,2021/03/27,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n37949,2021/03/27,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n37950,2021/03/27,I had tacos for dinner with Jackson,I had tacos for dinner with Jackson\n37951,2021/03/27,\"I talked to Kinsley, Avery, Layla for 11 minutes late in the evening.\",\"I talked to Kinsley, Avery, Layla for 11 minutes late in the evening.\"\n37952,2021/03/27,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n37953,2021/03/27,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n37954,2021/03/28,I really enjoyed yoga on 2021/03/28,I really enjoyed yoga on 2021/03/28\n37955,2021/03/28,I did HIIT on 2021/03/28.,I did HIIT on 2021/03/28.\n37956,2021/03/28,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n37957,2021/03/28,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n37958,2021/03/28,I ate sushi for dinner.,I ate sushi for dinner.\n37959,2021/03/28,\"I spent 24 talking to Avery, Eva on various topics late in the evening.\",\"I spent 24 talking to Avery, Eva on various topics late in the evening.\"\n37960,2021/03/28,I spent 13 talking to Piper on various topics in the early afternoon.,I spent 13 talking to Piper on various topics in the early afternoon.\n37961,2021/03/28,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n37962,2021/03/28,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n37963,2021/03/29,\"On 2021/03/29, I took Harper on a date to a boba shop\",\"On 2021/03/29, I took Harper on a date to a boba shop\"\n37964,2021/03/29,\"I bought some clementines, nectarines, blueberries, orange juice, pineapple juice, paper towel online.\",\"I bought some clementines, nectarines, blueberries, orange juice, pineapple juice, paper towel online.\"\n37965,2021/03/29,I did swimming on 2021/03/29.,I did swimming on 2021/03/29.\n37966,2021/03/29,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n37967,2021/03/29,\"I had chinese food for lunch with Willow, Benjamin\",\"I had chinese food for lunch with Willow, Benjamin\"\n37968,2021/03/29,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n37969,2021/03/29,\"I spent 21 talking to Layla, Lydia, Avery, Nevaeh on various topics in the early evening.\",\"I spent 21 talking to Layla, Lydia, Avery, Nevaeh on various topics in the early evening.\"\n37970,2021/03/29,I spent 44 talking to Olivia on various topics in the early evening.,I spent 44 talking to Olivia on various topics in the early evening.\n37971,2021/03/29,\"I spent 38 talking to Rylee, Lydia, Claire on various topics in the late afternoon.\",\"I spent 38 talking to Rylee, Lydia, Claire on various topics in the late afternoon.\"\n37972,2021/03/29,\"I spent 47 talking to Claire, Hazel, Kinsley, Piper on various topics during lunch hours.\",\"I spent 47 talking to Claire, Hazel, Kinsley, Piper on various topics during lunch hours.\"\n37973,2021/03/29,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n37974,2021/03/29,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n37975,2021/03/30,I did HIIT on 2021/03/30.,I did HIIT on 2021/03/30.\n37976,2021/03/30,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n37977,2021/03/30,I ate steak for lunch.,I ate steak for lunch.\n37978,2021/03/30,\"I had dinner with Piper, Olivia, Lydia, Nora, Kinsley, Rylee, Avery, Piper. I ate fish and chips.\",\"I had dinner with Piper, Olivia, Lydia, Nora, Kinsley, Rylee, Avery, Piper. I ate fish and chips.\"\n37979,2021/03/30,\"I spent 14 talking to Kinsley, Avery, Hazel, Claire on various topics during lunch hours.\",\"I spent 14 talking to Kinsley, Avery, Hazel, Claire on various topics during lunch hours.\"\n37980,2021/03/30,\"I spent 45 talking to Nora, Lydia, Piper, Kinsley on various topics in the late afternoon.\",\"I spent 45 talking to Nora, Lydia, Piper, Kinsley on various topics in the late afternoon.\"\n37981,2021/03/30,\"I spent 14 talking to Piper, Layla on various topics late in the evening.\",\"I spent 14 talking to Piper, Layla on various topics late in the evening.\"\n37982,2021/03/30,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n37983,2021/03/30,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n37984,2021/03/31,I did running on 2021/03/31.,I did running on 2021/03/31.\n37985,2021/03/31,\"I had eggs, sausages, and bread for breakfast with Kayden, Emily, Carter, Andrew\",\"I had eggs, sausages, and bread for breakfast with Kayden, Emily, Carter, Andrew\"\n37986,2021/03/31,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n37987,2021/03/31,\"I had sushi for dinner with Willow, Benjamin, Jackson, Avery\",\"I had sushi for dinner with Willow, Benjamin, Jackson, Avery\"\n37988,2021/03/31,\"I spent 9 talking to Kinsley, Eva on various topics during lunch hours.\",\"I spent 9 talking to Kinsley, Eva on various topics during lunch hours.\"\n37989,2021/03/31,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n37990,2021/03/31,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n37991,2021/04/01,\"I was cooking macaroni and cheese, chinese chicken wings, shrimp quesadilla on 2021/04/01 with Layla, Rylee, Claire, Kinsley at my place\",\"I was cooking macaroni and cheese, chinese chicken wings, shrimp quesadilla on 2021/04/01 with Layla, Rylee, Claire, Kinsley at my place\"\n37992,2021/04/01,I did HIIT on 2021/04/01.,I did HIIT on 2021/04/01.\n37993,2021/04/01,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n37994,2021/04/01,\"I had a burger for lunch with Layla, Piper, Nora, Hazel, Eva, Rylee, Claire, Kinsley\",\"I had a burger for lunch with Layla, Piper, Nora, Hazel, Eva, Rylee, Claire, Kinsley\"\n37995,2021/04/01,I had sushi for dinner with Andrew,I had sushi for dinner with Andrew\n37996,2021/04/01,\"I spent 53 talking to Piper, Layla, Claire, Nora on various topics in the early evening.\",\"I spent 53 talking to Piper, Layla, Claire, Nora on various topics in the early evening.\"\n37997,2021/04/01,\"I talked to Claire, Lydia for 32 minutes in the early afternoon.\",\"I talked to Claire, Lydia for 32 minutes in the early afternoon.\"\n37998,2021/04/01,I spent 44 talking to Piper on various topics in the early evening.,I spent 44 talking to Piper on various topics in the early evening.\n37999,2021/04/01,I talked to Claire for 53 minutes in the late afternoon.,I talked to Claire for 53 minutes in the late afternoon.\n38000,2021/04/01,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n38001,2021/04/01,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n38002,2021/04/02,\"I really enjoyed cooking turkey shepherd’s pie, shrimp quesadilla, instant pot whole chicken on 2021/04/02 with Emily, Andrew at my place\",\"I really enjoyed cooking turkey shepherd’s pie, shrimp quesadilla, instant pot whole chicken on 2021/04/02 with Emily, Andrew at my place\"\n38003,2021/04/02,I did biking on 2021/04/02.,I did biking on 2021/04/02.\n38004,2021/04/02,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n38005,2021/04/02,I had lunch. I ate steak.,I had lunch. I ate steak.\n38006,2021/04/02,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n38007,2021/04/02,\"I talked to Rylee, Kinsley for 49 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley for 49 minutes in the early afternoon.\"\n38008,2021/04/02,\"I talked to Hazel, Layla for 30 minutes during lunch hours.\",\"I talked to Hazel, Layla for 30 minutes during lunch hours.\"\n38009,2021/04/02,\"I talked to Hazel, Piper for 30 minutes in the late afternoon.\",\"I talked to Hazel, Piper for 30 minutes in the late afternoon.\"\n38010,2021/04/02,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n38011,2021/04/02,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n38012,2021/04/03,\"I bought some clementines, bananas, apricots, strawberries, orange juice, toilet paper from the grocery store. I saw Eva, Nora, Claire at the grocery store.\",\"I bought some clementines, bananas, apricots, strawberries, orange juice, toilet paper from the grocery store. I saw Eva, Nora, Claire at the grocery store.\"\n38013,2021/04/03,I did hiking on 2021/04/03.,I did hiking on 2021/04/03.\n38014,2021/04/03,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n38015,2021/04/03,I ate a burger for lunch.,I ate a burger for lunch.\n38016,2021/04/03,I had dinner with Benjamin. I ate indian food.,I had dinner with Benjamin. I ate indian food.\n38017,2021/04/03,\"I spent 55 talking to Piper, Piper, Olivia, Layla on various topics in the late afternoon.\",\"I spent 55 talking to Piper, Piper, Olivia, Layla on various topics in the late afternoon.\"\n38018,2021/04/03,\"I talked to Olivia, Avery, Hazel for 33 minutes in the morning.\",\"I talked to Olivia, Avery, Hazel for 33 minutes in the morning.\"\n38019,2021/04/03,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n38020,2021/04/03,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n38021,2021/04/04,\"I had breakfast with Nora, Olivia, Eva, Avery, Claire, Kinsley. I ate peanut-butter-jam.\",\"I had breakfast with Nora, Olivia, Eva, Avery, Claire, Kinsley. I ate peanut-butter-jam.\"\n38022,2021/04/04,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n38023,2021/04/04,I prepare steak for dinner.,I prepare steak for dinner.\n38024,2021/04/04,\"I talked to Piper, Nora, Kinsley, Layla for 37 minutes in the early evening.\",\"I talked to Piper, Nora, Kinsley, Layla for 37 minutes in the early evening.\"\n38025,2021/04/04,I talked to Claire for 30 minutes in the morning.,I talked to Claire for 30 minutes in the morning.\n38026,2021/04/04,I spent 35 talking to Claire on various topics in the morning.,I spent 35 talking to Claire on various topics in the morning.\n38027,2021/04/04,\"I talked to Olivia, Hazel, Nora, Layla for 21 minutes in the late afternoon.\",\"I talked to Olivia, Hazel, Nora, Layla for 21 minutes in the late afternoon.\"\n38028,2021/04/04,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n38029,2021/04/04,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n38030,2021/04/05,I did weight lifting on 2021/04/05.,I did weight lifting on 2021/04/05.\n38031,2021/04/05,I had cereals for breakfast with Andrew,I had cereals for breakfast with Andrew\n38032,2021/04/05,I prepare indian food for lunch.,I prepare indian food for lunch.\n38033,2021/04/05,I prepare steak for dinner.,I prepare steak for dinner.\n38034,2021/04/05,\"I talked to Nevaeh, Piper, Rylee for 32 minutes late in the evening.\",\"I talked to Nevaeh, Piper, Rylee for 32 minutes late in the evening.\"\n38035,2021/04/05,\"I spent 50 talking to Kinsley, Piper, Piper on various topics in the morning.\",\"I spent 50 talking to Kinsley, Piper, Piper on various topics in the morning.\"\n38036,2021/04/05,I talked to Avery for 43 minutes during lunch hours.,I talked to Avery for 43 minutes during lunch hours.\n38037,2021/04/05,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n38038,2021/04/05,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n38039,2021/04/06,\"I bought some clementines, mandarins, pears, mangos, coffee, toothbrush from the grocery store. I saw Avery, Willow, Jackson at the grocery store.\",\"I bought some clementines, mandarins, pears, mangos, coffee, toothbrush from the grocery store. I saw Avery, Willow, Jackson at the grocery store.\"\n38040,2021/04/06,I did HIIT on 2021/04/06.,I did HIIT on 2021/04/06.\n38041,2021/04/06,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n38042,2021/04/06,I ate sushi for lunch.,I ate sushi for lunch.\n38043,2021/04/06,\"I had dinner with Lydia, Claire, Layla, Rylee, Kinsley. I ate pasta.\",\"I had dinner with Lydia, Claire, Layla, Rylee, Kinsley. I ate pasta.\"\n38044,2021/04/06,\"I talked to Nora, Rylee, Nevaeh for 9 minutes late in the evening.\",\"I talked to Nora, Rylee, Nevaeh for 9 minutes late in the evening.\"\n38045,2021/04/06,\"I talked to Piper, Kinsley, Rylee for 29 minutes in the morning.\",\"I talked to Piper, Kinsley, Rylee for 29 minutes in the morning.\"\n38046,2021/04/06,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n38047,2021/04/06,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n38048,2021/04/07,I did weight lifting on 2021/04/07.,I did weight lifting on 2021/04/07.\n38049,2021/04/07,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n38050,2021/04/07,\"I had tacos for lunch with Kayden, Andrew, Emily\",\"I had tacos for lunch with Kayden, Andrew, Emily\"\n38051,2021/04/07,I ate tacos for dinner.,I ate tacos for dinner.\n38052,2021/04/07,I spent 13 talking to Kinsley on various topics in the late afternoon.,I spent 13 talking to Kinsley on various topics in the late afternoon.\n38053,2021/04/07,I spent 49 talking to Piper on various topics in the late afternoon.,I spent 49 talking to Piper on various topics in the late afternoon.\n38054,2021/04/07,\"I spent 23 talking to Kinsley, Hazel, Piper on various topics in the morning.\",\"I spent 23 talking to Kinsley, Hazel, Piper on various topics in the morning.\"\n38055,2021/04/07,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n38056,2021/04/07,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n38057,2021/04/08,I went on a date with Hunter on 2021/04/08 at a restaurant,I went on a date with Hunter on 2021/04/08 at a restaurant\n38058,2021/04/08,I did running on 2021/04/08.,I did running on 2021/04/08.\n38059,2021/04/08,\"I had breakfast with Rylee, Hazel, Olivia. I ate peanut-butter-jam.\",\"I had breakfast with Rylee, Hazel, Olivia. I ate peanut-butter-jam.\"\n38060,2021/04/08,I ate tacos for lunch.,I ate tacos for lunch.\n38061,2021/04/08,\"I had dinner with Eva, Kinsley. I ate sushi.\",\"I had dinner with Eva, Kinsley. I ate sushi.\"\n38062,2021/04/08,\"I spent 52 talking to Hazel, Olivia, Piper on various topics late in the evening.\",\"I spent 52 talking to Hazel, Olivia, Piper on various topics late in the evening.\"\n38063,2021/04/08,\"I talked to Eva, Avery, Nevaeh, Kinsley for 38 minutes in the morning.\",\"I talked to Eva, Avery, Nevaeh, Kinsley for 38 minutes in the morning.\"\n38064,2021/04/08,\"I talked to Layla, Rylee for 33 minutes in the morning.\",\"I talked to Layla, Rylee for 33 minutes in the morning.\"\n38065,2021/04/08,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n38066,2021/04/08,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n38067,2021/04/09,I did biking on 2021/04/09.,I did biking on 2021/04/09.\n38068,2021/04/09,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n38069,2021/04/09,I prepare sushi for lunch.,I prepare sushi for lunch.\n38070,2021/04/09,I ate sushi for dinner.,I ate sushi for dinner.\n38071,2021/04/09,\"I spent 53 talking to Eva, Kinsley on various topics in the late afternoon.\",\"I spent 53 talking to Eva, Kinsley on various topics in the late afternoon.\"\n38072,2021/04/09,I talked to Eva for 37 minutes during lunch hours.,I talked to Eva for 37 minutes during lunch hours.\n38073,2021/04/09,I talked to Hazel for 45 minutes in the early evening.,I talked to Hazel for 45 minutes in the early evening.\n38074,2021/04/09,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n38075,2021/04/09,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n38076,2021/04/10,\"I went grocery shopping. I bought some blackberries, guava, peaches, guava juice, and shampoo, paper towel, toothbrush\",\"I went grocery shopping. I bought some blackberries, guava, peaches, guava juice, and shampoo, paper towel, toothbrush\"\n38077,2021/04/10,I did biking on 2021/04/10.,I did biking on 2021/04/10.\n38078,2021/04/10,\"I had breakfast with Piper, Eva, Avery, Piper, Hazel, Claire, Kinsley, Nora. I ate oatmeal.\",\"I had breakfast with Piper, Eva, Avery, Piper, Hazel, Claire, Kinsley, Nora. I ate oatmeal.\"\n38079,2021/04/10,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n38080,2021/04/10,I prepare sushi for dinner.,I prepare sushi for dinner.\n38081,2021/04/10,I talked to Piper for 43 minutes in the late afternoon.,I talked to Piper for 43 minutes in the late afternoon.\n38082,2021/04/10,\"I spent 31 talking to Nevaeh, Claire, Kinsley on various topics during lunch hours.\",\"I spent 31 talking to Nevaeh, Claire, Kinsley on various topics during lunch hours.\"\n38083,2021/04/10,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n38084,2021/04/10,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n38085,2021/04/11,I did biking on 2021/04/11.,I did biking on 2021/04/11.\n38086,2021/04/11,\"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate toast and cheese.\",\"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate toast and cheese.\"\n38087,2021/04/11,\"I had chinese food for lunch with Willow, Benjamin, Jackson, Avery\",\"I had chinese food for lunch with Willow, Benjamin, Jackson, Avery\"\n38088,2021/04/11,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n38089,2021/04/11,\"I talked to Eva, Avery for 14 minutes in the late afternoon.\",\"I talked to Eva, Avery for 14 minutes in the late afternoon.\"\n38090,2021/04/11,\"I spent 48 talking to Claire, Kinsley, Lydia on various topics in the early evening.\",\"I spent 48 talking to Claire, Kinsley, Lydia on various topics in the early evening.\"\n38091,2021/04/11,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n38092,2021/04/11,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n38093,2021/04/12,\"I bought some pears, watermelons, clementines, pineapple juice, orange juice, chocolate milk, facial wash, toilet paper, body lotion from the grocery store. I saw Kayden at the grocery store.\",\"I bought some pears, watermelons, clementines, pineapple juice, orange juice, chocolate milk, facial wash, toilet paper, body lotion from the grocery store. I saw Kayden at the grocery store.\"\n38094,2021/04/12,I did weight lifting on 2021/04/12.,I did weight lifting on 2021/04/12.\n38095,2021/04/12,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n38096,2021/04/12,I had indian food for lunch with Carter,I had indian food for lunch with Carter\n38097,2021/04/12,I ate sandwich for dinner.,I ate sandwich for dinner.\n38098,2021/04/12,\"I talked to Piper, Kinsley, Nevaeh, Eva for 20 minutes late in the evening.\",\"I talked to Piper, Kinsley, Nevaeh, Eva for 20 minutes late in the evening.\"\n38099,2021/04/12,\"I spent 32 talking to Kinsley, Claire, Eva, Rylee on various topics in the late afternoon.\",\"I spent 32 talking to Kinsley, Claire, Eva, Rylee on various topics in the late afternoon.\"\n38100,2021/04/12,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n38101,2021/04/12,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n38102,2021/04/13,I did biking on 2021/04/13.,I did biking on 2021/04/13.\n38103,2021/04/13,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n38104,2021/04/13,I prepare a burger for lunch.,I prepare a burger for lunch.\n38105,2021/04/13,\"I had dinner with Layla, Hazel, Kinsley, Nevaeh, Eva, Lydia, Olivia, Claire, Piper, Nora, Avery. I ate tacos.\",\"I had dinner with Layla, Hazel, Kinsley, Nevaeh, Eva, Lydia, Olivia, Claire, Piper, Nora, Avery. I ate tacos.\"\n38106,2021/04/13,\"I talked to Avery, Lydia, Eva for 7 minutes in the early evening.\",\"I talked to Avery, Lydia, Eva for 7 minutes in the early evening.\"\n38107,2021/04/13,I spent 7 talking to Lydia on various topics in the late afternoon.,I spent 7 talking to Lydia on various topics in the late afternoon.\n38108,2021/04/13,I talked to Claire for 46 minutes in the early evening.,I talked to Claire for 46 minutes in the early evening.\n38109,2021/04/13,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n38110,2021/04/13,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n38111,2021/04/14,\"On 2021/04/14, I took Samuel on a date to a restaurant\",\"On 2021/04/14, I took Samuel on a date to a restaurant\"\n38112,2021/04/14,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n38113,2021/04/14,I prepare pasta for lunch.,I prepare pasta for lunch.\n38114,2021/04/14,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n38115,2021/04/14,\"I spent 26 talking to Nevaeh, Claire on various topics in the early evening.\",\"I spent 26 talking to Nevaeh, Claire on various topics in the early evening.\"\n38116,2021/04/14,\"I spent 26 talking to Nevaeh, Layla, Claire, Nora on various topics in the late afternoon.\",\"I spent 26 talking to Nevaeh, Layla, Claire, Nora on various topics in the late afternoon.\"\n38117,2021/04/14,\"I talked to Claire, Piper, Olivia for 47 minutes in the late afternoon.\",\"I talked to Claire, Piper, Olivia for 47 minutes in the late afternoon.\"\n38118,2021/04/14,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n38119,2021/04/14,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n38120,2021/04/15,I did swimming on 2021/04/15.,I did swimming on 2021/04/15.\n38121,2021/04/15,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n38122,2021/04/15,I ate steak for lunch.,I ate steak for lunch.\n38123,2021/04/15,I ate steak for dinner.,I ate steak for dinner.\n38124,2021/04/15,I spent 20 talking to Claire on various topics in the morning.,I spent 20 talking to Claire on various topics in the morning.\n38125,2021/04/15,\"I talked to Olivia, Avery for 32 minutes late in the evening.\",\"I talked to Olivia, Avery for 32 minutes late in the evening.\"\n38126,2021/04/15,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n38127,2021/04/15,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n38128,2021/04/16,\"I went grocery shopping. I bought some strawberries, bananas, mandarins, pineapples, apple juice, guava juice, and toilet paper, shaving cream, body lotion\",\"I went grocery shopping. I bought some strawberries, bananas, mandarins, pineapples, apple juice, guava juice, and toilet paper, shaving cream, body lotion\"\n38129,2021/04/16,I did biking on 2021/04/16.,I did biking on 2021/04/16.\n38130,2021/04/16,\"I had pancakes for breakfast with Willow, Benjamin, Jackson, Avery\",\"I had pancakes for breakfast with Willow, Benjamin, Jackson, Avery\"\n38131,2021/04/16,I had pasta for lunch with Emily,I had pasta for lunch with Emily\n38132,2021/04/16,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n38133,2021/04/16,\"I spent 33 talking to Hazel, Piper on various topics in the early evening.\",\"I spent 33 talking to Hazel, Piper on various topics in the early evening.\"\n38134,2021/04/16,\"I spent 31 talking to Piper, Rylee on various topics during lunch hours.\",\"I spent 31 talking to Piper, Rylee on various topics during lunch hours.\"\n38135,2021/04/16,\"I talked to Piper, Piper, Kinsley for 27 minutes in the early evening.\",\"I talked to Piper, Piper, Kinsley for 27 minutes in the early evening.\"\n38136,2021/04/16,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n38137,2021/04/16,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n38138,2021/04/17,I did biking on 2021/04/17.,I did biking on 2021/04/17.\n38139,2021/04/17,\"I had eggs, sausages, and bread for breakfast with Benjamin, Avery, Jackson, Willow\",\"I had eggs, sausages, and bread for breakfast with Benjamin, Avery, Jackson, Willow\"\n38140,2021/04/17,\"I had lunch with Kayden, Carter. I ate pasta.\",\"I had lunch with Kayden, Carter. I ate pasta.\"\n38141,2021/04/17,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n38142,2021/04/17,\"I talked to Nora, Claire for 27 minutes late in the evening.\",\"I talked to Nora, Claire for 27 minutes late in the evening.\"\n38143,2021/04/17,I talked to Layla for 10 minutes in the late afternoon.,I talked to Layla for 10 minutes in the late afternoon.\n38144,2021/04/17,I spent 21 talking to Kinsley on various topics in the morning.,I spent 21 talking to Kinsley on various topics in the morning.\n38145,2021/04/17,\"I spent 19 talking to Claire, Kinsley, Rylee, Hazel on various topics during lunch hours.\",\"I spent 19 talking to Claire, Kinsley, Rylee, Hazel on various topics during lunch hours.\"\n38146,2021/04/17,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n38147,2021/04/17,I watched a documentary for 36 minutes on TV today.,I watched a documentary for 36 minutes on TV today.\n38148,2021/04/18,I really enjoyed meditation on 2021/04/18,I really enjoyed meditation on 2021/04/18\n38149,2021/04/18,I did running on 2021/04/18.,I did running on 2021/04/18.\n38150,2021/04/18,I had cereals for breakfast with Andrew,I had cereals for breakfast with Andrew\n38151,2021/04/18,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n38152,2021/04/18,I prepare steak for dinner.,I prepare steak for dinner.\n38153,2021/04/18,\"I talked to Rylee, Piper for 43 minutes in the early afternoon.\",\"I talked to Rylee, Piper for 43 minutes in the early afternoon.\"\n38154,2021/04/18,\"I talked to Avery, Lydia for 30 minutes in the morning.\",\"I talked to Avery, Lydia for 30 minutes in the morning.\"\n38155,2021/04/18,\"I talked to Rylee, Claire, Eva for 34 minutes late in the evening.\",\"I talked to Rylee, Claire, Eva for 34 minutes late in the evening.\"\n38156,2021/04/18,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n38157,2021/04/18,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n38158,2021/04/19,I did swimming on 2021/04/19.,I did swimming on 2021/04/19.\n38159,2021/04/19,\"I had peanut-butter-jam for breakfast with Nevaeh, Claire, Rylee, Layla, Piper, Piper, Eva\",\"I had peanut-butter-jam for breakfast with Nevaeh, Claire, Rylee, Layla, Piper, Piper, Eva\"\n38160,2021/04/19,\"I had steak for lunch with Piper, Eva, Hazel, Kinsley, Nora, Lydia, Olivia, Avery\",\"I had steak for lunch with Piper, Eva, Hazel, Kinsley, Nora, Lydia, Olivia, Avery\"\n38161,2021/04/19,\"I had tacos for dinner with Jackson, Benjamin, Avery\",\"I had tacos for dinner with Jackson, Benjamin, Avery\"\n38162,2021/04/19,\"I talked to Piper, Hazel, Nora for 8 minutes in the early afternoon.\",\"I talked to Piper, Hazel, Nora for 8 minutes in the early afternoon.\"\n38163,2021/04/19,\"I spent 19 talking to Piper, Olivia, Eva on various topics in the morning.\",\"I spent 19 talking to Piper, Olivia, Eva on various topics in the morning.\"\n38164,2021/04/19,\"I spent 51 talking to Piper, Lydia, Avery, Kinsley on various topics late in the evening.\",\"I spent 51 talking to Piper, Lydia, Avery, Kinsley on various topics late in the evening.\"\n38165,2021/04/19,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n38166,2021/04/19,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n38167,2021/04/20,I spent time meditation on 2021/04/20 with Andrew.,I spent time meditation on 2021/04/20 with Andrew.\n38168,2021/04/20,\"I went grocery shopping. I bought some cherres, blueberries, pears, orange juice, coffee, and body lotion\",\"I went grocery shopping. I bought some cherres, blueberries, pears, orange juice, coffee, and body lotion\"\n38169,2021/04/20,I did biking on 2021/04/20.,I did biking on 2021/04/20.\n38170,2021/04/20,I had breakfast with Willow. I ate cereals.,I had breakfast with Willow. I ate cereals.\n38171,2021/04/20,I prepare pasta for lunch.,I prepare pasta for lunch.\n38172,2021/04/20,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n38173,2021/04/20,\"I talked to Lydia, Layla, Avery, Claire for 21 minutes during lunch hours.\",\"I talked to Lydia, Layla, Avery, Claire for 21 minutes during lunch hours.\"\n38174,2021/04/20,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n38175,2021/04/20,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n38176,2021/04/21,I went on a date with Wyatt on 2021/04/21 at a coffee Shop,I went on a date with Wyatt on 2021/04/21 at a coffee Shop\n38177,2021/04/21,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n38178,2021/04/21,\"I had indian food for lunch with Carter, Kayden, Andrew, Emily\",\"I had indian food for lunch with Carter, Kayden, Andrew, Emily\"\n38179,2021/04/21,I had indian food for dinner with Willow,I had indian food for dinner with Willow\n38180,2021/04/21,\"I spent 16 talking to Piper, Olivia on various topics in the morning.\",\"I spent 16 talking to Piper, Olivia on various topics in the morning.\"\n38181,2021/04/21,\"I talked to Layla, Avery for 14 minutes in the early evening.\",\"I talked to Layla, Avery for 14 minutes in the early evening.\"\n38182,2021/04/21,I talked to Avery for 22 minutes in the late afternoon.,I talked to Avery for 22 minutes in the late afternoon.\n38183,2021/04/21,I talked to Piper for 20 minutes in the early evening.,I talked to Piper for 20 minutes in the early evening.\n38184,2021/04/21,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n38185,2021/04/21,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n38186,2021/04/22,I did swimming on 2021/04/22.,I did swimming on 2021/04/22.\n38187,2021/04/22,\"I had breakfast with Benjamin, Jackson, Avery, Willow. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Jackson, Avery, Willow. I ate peanut-butter-jam.\"\n38188,2021/04/22,I had steak for lunch with Carter,I had steak for lunch with Carter\n38189,2021/04/22,I ate tacos for dinner.,I ate tacos for dinner.\n38190,2021/04/22,\"I talked to Piper, Kinsley for 22 minutes in the morning.\",\"I talked to Piper, Kinsley for 22 minutes in the morning.\"\n38191,2021/04/22,\"I spent 32 talking to Olivia, Piper, Nora, Piper on various topics in the early evening.\",\"I spent 32 talking to Olivia, Piper, Nora, Piper on various topics in the early evening.\"\n38192,2021/04/22,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n38193,2021/04/22,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n38194,2021/04/23,\"I went grocery shopping with Andrew, Kayden, Carter. I bought some raspberries, apple juice, and toilet paper, paper towel, body lotion, shampoo\",\"I went grocery shopping with Andrew, Kayden, Carter. I bought some raspberries, apple juice, and toilet paper, paper towel, body lotion, shampoo\"\n38195,2021/04/23,I did swimming on 2021/04/23.,I did swimming on 2021/04/23.\n38196,2021/04/23,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n38197,2021/04/23,I ate pasta for lunch.,I ate pasta for lunch.\n38198,2021/04/23,\"I had dinner with Kayden, Andrew. I ate sandwich.\",\"I had dinner with Kayden, Andrew. I ate sandwich.\"\n38199,2021/04/23,\"I spent 53 talking to Nevaeh, Rylee, Nora on various topics in the morning.\",\"I spent 53 talking to Nevaeh, Rylee, Nora on various topics in the morning.\"\n38200,2021/04/23,\"I talked to Kinsley, Olivia for 51 minutes in the early evening.\",\"I talked to Kinsley, Olivia for 51 minutes in the early evening.\"\n38201,2021/04/23,\"I spent 42 talking to Piper, Eva on various topics in the morning.\",\"I spent 42 talking to Piper, Eva on various topics in the morning.\"\n38202,2021/04/23,\"I talked to Eva, Kinsley, Piper, Lydia for 54 minutes in the morning.\",\"I talked to Eva, Kinsley, Piper, Lydia for 54 minutes in the morning.\"\n38203,2021/04/23,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n38204,2021/04/23,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n38205,2021/04/24,I did HIIT on 2021/04/24.,I did HIIT on 2021/04/24.\n38206,2021/04/24,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n38207,2021/04/24,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n38208,2021/04/24,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n38209,2021/04/24,\"I talked to Claire, Nevaeh for 20 minutes in the early afternoon.\",\"I talked to Claire, Nevaeh for 20 minutes in the early afternoon.\"\n38210,2021/04/24,I spent 20 talking to Eva on various topics in the early evening.,I spent 20 talking to Eva on various topics in the early evening.\n38211,2021/04/24,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n38212,2021/04/24,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n38213,2021/04/25,I did running on 2021/04/25.,I did running on 2021/04/25.\n38214,2021/04/25,\"I had breakfast with Piper, Nevaeh, Layla, Nora, Kinsley, Hazel. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Nevaeh, Layla, Nora, Kinsley, Hazel. I ate eggs, sausages, and bread.\"\n38215,2021/04/25,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n38216,2021/04/25,I ate tacos for dinner.,I ate tacos for dinner.\n38217,2021/04/25,\"I talked to Olivia, Hazel for 40 minutes in the early afternoon.\",\"I talked to Olivia, Hazel for 40 minutes in the early afternoon.\"\n38218,2021/04/25,\"I spent 23 talking to Olivia, Eva, Rylee, Layla on various topics in the early afternoon.\",\"I spent 23 talking to Olivia, Eva, Rylee, Layla on various topics in the early afternoon.\"\n38219,2021/04/25,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n38220,2021/04/25,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n38221,2021/04/26,I did weight lifting on 2021/04/26.,I did weight lifting on 2021/04/26.\n38222,2021/04/26,\"I had breakfast with Rylee, Nevaeh, Nora, Piper, Layla. I ate eggs, sausages, and bread.\",\"I had breakfast with Rylee, Nevaeh, Nora, Piper, Layla. I ate eggs, sausages, and bread.\"\n38223,2021/04/26,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n38224,2021/04/26,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n38225,2021/04/26,\"I spent 20 talking to Layla, Avery, Lydia, Eva on various topics in the late afternoon.\",\"I spent 20 talking to Layla, Avery, Lydia, Eva on various topics in the late afternoon.\"\n38226,2021/04/26,I talked to Olivia for 11 minutes in the early evening.,I talked to Olivia for 11 minutes in the early evening.\n38227,2021/04/26,I talked to Claire for 35 minutes in the early evening.,I talked to Claire for 35 minutes in the early evening.\n38228,2021/04/26,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n38229,2021/04/26,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n38230,2021/04/27,I went on a date with Gabriel on 2021/04/27 at a coffee Shop,I went on a date with Gabriel on 2021/04/27 at a coffee Shop\n38231,2021/04/27,I spent time yoga on 2021/04/27 with Avery.,I spent time yoga on 2021/04/27 with Avery.\n38232,2021/04/27,I did running on 2021/04/27.,I did running on 2021/04/27.\n38233,2021/04/27,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n38234,2021/04/27,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n38235,2021/04/27,I had dinner. I ate steak.,I had dinner. I ate steak.\n38236,2021/04/27,\"I talked to Piper, Olivia, Layla for 20 minutes in the early evening.\",\"I talked to Piper, Olivia, Layla for 20 minutes in the early evening.\"\n38237,2021/04/27,\"I talked to Nevaeh, Rylee, Layla for 43 minutes in the early afternoon.\",\"I talked to Nevaeh, Rylee, Layla for 43 minutes in the early afternoon.\"\n38238,2021/04/27,\"I spent 53 talking to Piper, Olivia, Lydia on various topics in the early afternoon.\",\"I spent 53 talking to Piper, Olivia, Lydia on various topics in the early afternoon.\"\n38239,2021/04/27,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n38240,2021/04/27,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n38241,2021/04/28,\"I bought some cherres, orange juice, coffee, toilet paper, toothpaste, paper towel, body lotion online.\",\"I bought some cherres, orange juice, coffee, toilet paper, toothpaste, paper towel, body lotion online.\"\n38242,2021/04/28,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n38243,2021/04/28,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n38244,2021/04/28,I ate tacos for dinner.,I ate tacos for dinner.\n38245,2021/04/28,I talked to Piper for 30 minutes in the early evening.,I talked to Piper for 30 minutes in the early evening.\n38246,2021/04/28,\"I spent 20 talking to Eva, Hazel, Avery, Claire on various topics late in the evening.\",\"I spent 20 talking to Eva, Hazel, Avery, Claire on various topics late in the evening.\"\n38247,2021/04/28,\"I spent 6 talking to Eva, Nevaeh, Olivia on various topics late in the evening.\",\"I spent 6 talking to Eva, Nevaeh, Olivia on various topics late in the evening.\"\n38248,2021/04/28,\"I talked to Claire, Piper, Avery for 38 minutes in the early afternoon.\",\"I talked to Claire, Piper, Avery for 38 minutes in the early afternoon.\"\n38249,2021/04/28,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n38250,2021/04/28,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n38251,2021/04/29,I did weight lifting on 2021/04/29.,I did weight lifting on 2021/04/29.\n38252,2021/04/29,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n38253,2021/04/29,\"I had indian food for lunch with Andrew, Carter, Kayden\",\"I had indian food for lunch with Andrew, Carter, Kayden\"\n38254,2021/04/29,I had sandwich for dinner with Carter,I had sandwich for dinner with Carter\n38255,2021/04/29,\"I spent 52 talking to Claire, Piper on various topics in the early evening.\",\"I spent 52 talking to Claire, Piper on various topics in the early evening.\"\n38256,2021/04/29,\"I spent 37 talking to Claire, Nevaeh, Avery, Nora on various topics in the morning.\",\"I spent 37 talking to Claire, Nevaeh, Avery, Nora on various topics in the morning.\"\n38257,2021/04/29,\"I talked to Layla, Eva for 36 minutes late in the evening.\",\"I talked to Layla, Eva for 36 minutes late in the evening.\"\n38258,2021/04/29,I talked to Olivia for 49 minutes during lunch hours.,I talked to Olivia for 49 minutes during lunch hours.\n38259,2021/04/29,I spent 6 minutes on social media today.,I spent 6 minutes on social media today.\n38260,2021/04/29,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n38261,2021/04/30,I did HIIT on 2021/04/30.,I did HIIT on 2021/04/30.\n38262,2021/04/30,\"I had breakfast with Nora, Claire, Avery, Rylee, Piper, Hazel. I ate oatmeal.\",\"I had breakfast with Nora, Claire, Avery, Rylee, Piper, Hazel. I ate oatmeal.\"\n38263,2021/04/30,I ate sushi for lunch.,I ate sushi for lunch.\n38264,2021/04/30,\"I had dinner with Olivia, Kinsley, Nevaeh, Avery, Hazel, Claire, Eva, Nora, Rylee, Lydia, Piper, Piper, Layla. I ate tacos.\",\"I had dinner with Olivia, Kinsley, Nevaeh, Avery, Hazel, Claire, Eva, Nora, Rylee, Lydia, Piper, Piper, Layla. I ate tacos.\"\n38265,2021/04/30,\"I talked to Hazel, Kinsley, Rylee, Avery for 52 minutes in the early afternoon.\",\"I talked to Hazel, Kinsley, Rylee, Avery for 52 minutes in the early afternoon.\"\n38266,2021/04/30,\"I talked to Eva, Nora, Kinsley, Olivia for 44 minutes in the morning.\",\"I talked to Eva, Nora, Kinsley, Olivia for 44 minutes in the morning.\"\n38267,2021/04/30,I spent 54 talking to Piper on various topics late in the evening.,I spent 54 talking to Piper on various topics late in the evening.\n38268,2021/04/30,\"I spent 20 talking to Lydia, Piper, Piper, Hazel on various topics in the early evening.\",\"I spent 20 talking to Lydia, Piper, Piper, Hazel on various topics in the early evening.\"\n38269,2021/04/30,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n38270,2021/04/30,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n38271,2021/05/01,I did weight lifting on 2021/05/01.,I did weight lifting on 2021/05/01.\n38272,2021/05/01,\"I had toast and cheese for breakfast with Layla, Avery, Eva, Olivia, Nevaeh, Hazel\",\"I had toast and cheese for breakfast with Layla, Avery, Eva, Olivia, Nevaeh, Hazel\"\n38273,2021/05/01,I prepare steak for lunch.,I prepare steak for lunch.\n38274,2021/05/01,I ate sushi for dinner.,I ate sushi for dinner.\n38275,2021/05/01,\"I spent 25 talking to Nora, Nevaeh, Hazel on various topics in the late afternoon.\",\"I spent 25 talking to Nora, Nevaeh, Hazel on various topics in the late afternoon.\"\n38276,2021/05/01,I talked to Rylee for 25 minutes in the late afternoon.,I talked to Rylee for 25 minutes in the late afternoon.\n38277,2021/05/01,\"I talked to Nevaeh, Piper, Piper for 39 minutes in the early evening.\",\"I talked to Nevaeh, Piper, Piper for 39 minutes in the early evening.\"\n38278,2021/05/01,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n38279,2021/05/01,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n38280,2021/05/02,I did hiking on 2021/05/02.,I did hiking on 2021/05/02.\n38281,2021/05/02,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n38282,2021/05/02,\"I had fish and chips for lunch with Avery, Willow, Jackson, Benjamin\",\"I had fish and chips for lunch with Avery, Willow, Jackson, Benjamin\"\n38283,2021/05/02,\"I had fish and chips for dinner with Nevaeh, Claire, Hazel, Kinsley, Layla, Piper, Eva, Nora, Piper, Olivia, Rylee, Avery\",\"I had fish and chips for dinner with Nevaeh, Claire, Hazel, Kinsley, Layla, Piper, Eva, Nora, Piper, Olivia, Rylee, Avery\"\n38284,2021/05/02,\"I talked to Rylee, Nevaeh for 8 minutes in the late afternoon.\",\"I talked to Rylee, Nevaeh for 8 minutes in the late afternoon.\"\n38285,2021/05/02,\"I talked to Avery, Lydia, Piper for 9 minutes late in the evening.\",\"I talked to Avery, Lydia, Piper for 9 minutes late in the evening.\"\n38286,2021/05/02,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n38287,2021/05/02,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n38288,2021/05/03,I did hiking on 2021/05/03.,I did hiking on 2021/05/03.\n38289,2021/05/03,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n38290,2021/05/03,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n38291,2021/05/03,\"I had dinner with Carter, Andrew. I ate a burger.\",\"I had dinner with Carter, Andrew. I ate a burger.\"\n38292,2021/05/03,I talked to Piper for 46 minutes in the early afternoon.,I talked to Piper for 46 minutes in the early afternoon.\n38293,2021/05/03,\"I talked to Piper, Avery, Claire for 50 minutes in the early afternoon.\",\"I talked to Piper, Avery, Claire for 50 minutes in the early afternoon.\"\n38294,2021/05/03,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n38295,2021/05/03,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n38296,2021/05/04,\"I bought some bananas, pineapples, apples, cherres, pineapple juice, body lotion, conditioner, paper towel, shampoo online.\",\"I bought some bananas, pineapples, apples, cherres, pineapple juice, body lotion, conditioner, paper towel, shampoo online.\"\n38297,2021/05/04,I did hiking on 2021/05/04.,I did hiking on 2021/05/04.\n38298,2021/05/04,I had peanut-butter-jam for breakfast with Emily,I had peanut-butter-jam for breakfast with Emily\n38299,2021/05/04,I ate tacos for lunch.,I ate tacos for lunch.\n38300,2021/05/04,I ate pasta for dinner.,I ate pasta for dinner.\n38301,2021/05/04,\"I talked to Piper, Eva, Avery for 51 minutes in the late afternoon.\",\"I talked to Piper, Eva, Avery for 51 minutes in the late afternoon.\"\n38302,2021/05/04,\"I talked to Eva, Hazel, Kinsley for 37 minutes in the early afternoon.\",\"I talked to Eva, Hazel, Kinsley for 37 minutes in the early afternoon.\"\n38303,2021/05/04,\"I talked to Hazel, Kinsley, Avery for 37 minutes in the early afternoon.\",\"I talked to Hazel, Kinsley, Avery for 37 minutes in the early afternoon.\"\n38304,2021/05/04,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n38305,2021/05/04,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n38306,2021/05/05,I did biking on 2021/05/05.,I did biking on 2021/05/05.\n38307,2021/05/05,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n38308,2021/05/05,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n38309,2021/05/05,I ate tacos for dinner.,I ate tacos for dinner.\n38310,2021/05/05,\"I talked to Lydia, Nevaeh, Hazel for 8 minutes late in the evening.\",\"I talked to Lydia, Nevaeh, Hazel for 8 minutes late in the evening.\"\n38311,2021/05/05,I spent 27 talking to Eva on various topics late in the evening.,I spent 27 talking to Eva on various topics late in the evening.\n38312,2021/05/05,I talked to Claire for 51 minutes during lunch hours.,I talked to Claire for 51 minutes during lunch hours.\n38313,2021/05/05,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n38314,2021/05/05,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n38315,2021/05/06,I went on a date with Zoey on 2021/05/06 at a coffee Shop,I went on a date with Zoey on 2021/05/06 at a coffee Shop\n38316,2021/05/06,I spent some time learning a language on 2021/05/06.,I spent some time learning a language on 2021/05/06.\n38317,2021/05/06,I did swimming on 2021/05/06.,I did swimming on 2021/05/06.\n38318,2021/05/06,\"I had breakfast with Andrew, Emily. I ate toast and cheese.\",\"I had breakfast with Andrew, Emily. I ate toast and cheese.\"\n38319,2021/05/06,\"I had fish and chips for lunch with Emily, Kayden, Andrew\",\"I had fish and chips for lunch with Emily, Kayden, Andrew\"\n38320,2021/05/06,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n38321,2021/05/06,I talked to Hazel for 7 minutes in the early evening.,I talked to Hazel for 7 minutes in the early evening.\n38322,2021/05/06,\"I talked to Avery, Nora, Nevaeh for 44 minutes late in the evening.\",\"I talked to Avery, Nora, Nevaeh for 44 minutes late in the evening.\"\n38323,2021/05/06,I spent 37 talking to Layla on various topics during lunch hours.,I spent 37 talking to Layla on various topics during lunch hours.\n38324,2021/05/06,\"I talked to Kinsley, Eva, Rylee, Olivia for 22 minutes during lunch hours.\",\"I talked to Kinsley, Eva, Rylee, Olivia for 22 minutes during lunch hours.\"\n38325,2021/05/06,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n38326,2021/05/06,I spent 36 minutes watching a documentary on TV today.,I spent 36 minutes watching a documentary on TV today.\n38327,2021/05/07,I spent some time learning a language on 2021/05/07.,I spent some time learning a language on 2021/05/07.\n38328,2021/05/07,I did swimming on 2021/05/07.,I did swimming on 2021/05/07.\n38329,2021/05/07,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n38330,2021/05/07,I ate sandwich for lunch.,I ate sandwich for lunch.\n38331,2021/05/07,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n38332,2021/05/07,\"I talked to Nevaeh, Hazel for 43 minutes in the late afternoon.\",\"I talked to Nevaeh, Hazel for 43 minutes in the late afternoon.\"\n38333,2021/05/07,I spent 46 talking to Rylee on various topics in the early evening.,I spent 46 talking to Rylee on various topics in the early evening.\n38334,2021/05/07,\"I talked to Hazel, Avery, Piper, Piper for 31 minutes late in the evening.\",\"I talked to Hazel, Avery, Piper, Piper for 31 minutes late in the evening.\"\n38335,2021/05/07,\"I spent 36 talking to Nora, Layla on various topics in the early evening.\",\"I spent 36 talking to Nora, Layla on various topics in the early evening.\"\n38336,2021/05/07,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n38337,2021/05/07,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n38338,2021/05/08,I did weight lifting on 2021/05/08.,I did weight lifting on 2021/05/08.\n38339,2021/05/08,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n38340,2021/05/08,I had sandwich for lunch with Andrew,I had sandwich for lunch with Andrew\n38341,2021/05/08,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n38342,2021/05/08,\"I talked to Nora, Rylee for 17 minutes late in the evening.\",\"I talked to Nora, Rylee for 17 minutes late in the evening.\"\n38343,2021/05/08,\"I talked to Nevaeh, Kinsley for 47 minutes in the morning.\",\"I talked to Nevaeh, Kinsley for 47 minutes in the morning.\"\n38344,2021/05/08,\"I talked to Layla, Claire for 52 minutes during lunch hours.\",\"I talked to Layla, Claire for 52 minutes during lunch hours.\"\n38345,2021/05/08,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n38346,2021/05/08,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n38347,2021/05/09,\"I entertained Kayden, Emily, Carter at my place on 2021/05/09 and bake blackberry jam pie-crust straws, easy cherry skillet cake\",\"I entertained Kayden, Emily, Carter at my place on 2021/05/09 and bake blackberry jam pie-crust straws, easy cherry skillet cake\"\n38348,2021/05/09,\"I went grocery shopping with Emily. I bought some cherres, watermelons, coffee, pineapple juice, soda, tea, and toilet paper, facial wash, mouthwash, conditioner\",\"I went grocery shopping with Emily. I bought some cherres, watermelons, coffee, pineapple juice, soda, tea, and toilet paper, facial wash, mouthwash, conditioner\"\n38349,2021/05/09,I did swimming on 2021/05/09.,I did swimming on 2021/05/09.\n38350,2021/05/09,\"I had breakfast with Andrew, Emily, Carter. I ate pancakes.\",\"I had breakfast with Andrew, Emily, Carter. I ate pancakes.\"\n38351,2021/05/09,\"I had lunch with Piper, Layla, Hazel, Olivia, Lydia, Piper, Nevaeh, Nora, Eva, Claire, Avery. I ate chinese food.\",\"I had lunch with Piper, Layla, Hazel, Olivia, Lydia, Piper, Nevaeh, Nora, Eva, Claire, Avery. I ate chinese food.\"\n38352,2021/05/09,\"I had dinner with Kayden, Emily, Carter. I ate indian food.\",\"I had dinner with Kayden, Emily, Carter. I ate indian food.\"\n38353,2021/05/09,\"I talked to Eva, Kinsley, Piper, Nevaeh for 47 minutes during lunch hours.\",\"I talked to Eva, Kinsley, Piper, Nevaeh for 47 minutes during lunch hours.\"\n38354,2021/05/09,I talked to Layla for 49 minutes in the early afternoon.,I talked to Layla for 49 minutes in the early afternoon.\n38355,2021/05/09,I talked to Nora for 47 minutes in the morning.,I talked to Nora for 47 minutes in the morning.\n38356,2021/05/09,\"I spent 8 talking to Kinsley, Olivia, Piper on various topics during lunch hours.\",\"I spent 8 talking to Kinsley, Olivia, Piper on various topics during lunch hours.\"\n38357,2021/05/09,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n38358,2021/05/09,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n38359,2021/05/10,\"I went grocery shopping. I bought some pears, pineapples, apricots, mineral water, orange juice, milk, and toothbrush\",\"I went grocery shopping. I bought some pears, pineapples, apricots, mineral water, orange juice, milk, and toothbrush\"\n38360,2021/05/10,I did running on 2021/05/10.,I did running on 2021/05/10.\n38361,2021/05/10,\"I had breakfast with Olivia, Layla, Avery, Rylee, Eva. I ate pancakes.\",\"I had breakfast with Olivia, Layla, Avery, Rylee, Eva. I ate pancakes.\"\n38362,2021/05/10,\"I had sandwich for lunch with Claire, Avery, Lydia, Hazel, Eva, Rylee, Kinsley, Layla\",\"I had sandwich for lunch with Claire, Avery, Lydia, Hazel, Eva, Rylee, Kinsley, Layla\"\n38363,2021/05/10,\"I had sushi for dinner with Hazel, Layla, Nevaeh\",\"I had sushi for dinner with Hazel, Layla, Nevaeh\"\n38364,2021/05/10,\"I talked to Lydia, Piper, Nevaeh for 38 minutes late in the evening.\",\"I talked to Lydia, Piper, Nevaeh for 38 minutes late in the evening.\"\n38365,2021/05/10,\"I spent 28 talking to Layla, Nevaeh, Claire on various topics late in the evening.\",\"I spent 28 talking to Layla, Nevaeh, Claire on various topics late in the evening.\"\n38366,2021/05/10,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n38367,2021/05/10,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n38368,2021/05/11,I did weight lifting on 2021/05/11.,I did weight lifting on 2021/05/11.\n38369,2021/05/11,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n38370,2021/05/11,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n38371,2021/05/11,\"I had fish and chips for dinner with Avery, Layla, Rylee, Nevaeh, Kinsley, Lydia, Nora, Eva, Piper\",\"I had fish and chips for dinner with Avery, Layla, Rylee, Nevaeh, Kinsley, Lydia, Nora, Eva, Piper\"\n38372,2021/05/11,\"I talked to Rylee, Layla for 54 minutes in the early evening.\",\"I talked to Rylee, Layla for 54 minutes in the early evening.\"\n38373,2021/05/11,\"I spent 37 talking to Olivia, Claire, Eva on various topics in the early evening.\",\"I spent 37 talking to Olivia, Claire, Eva on various topics in the early evening.\"\n38374,2021/05/11,\"I talked to Eva, Nora, Piper, Rylee for 19 minutes in the morning.\",\"I talked to Eva, Nora, Piper, Rylee for 19 minutes in the morning.\"\n38375,2021/05/11,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n38376,2021/05/11,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n38377,2021/05/12,I did hiking on 2021/05/12.,I did hiking on 2021/05/12.\n38378,2021/05/12,\"I had oatmeal for breakfast with Andrew, Carter, Emily\",\"I had oatmeal for breakfast with Andrew, Carter, Emily\"\n38379,2021/05/12,\"I had lunch with Claire, Piper, Layla, Eva, Kinsley, Olivia, Avery, Nevaeh, Piper, Nora. I ate fish and chips.\",\"I had lunch with Claire, Piper, Layla, Eva, Kinsley, Olivia, Avery, Nevaeh, Piper, Nora. I ate fish and chips.\"\n38380,2021/05/12,\"I had dinner with Andrew, Kayden, Carter. I ate sandwich.\",\"I had dinner with Andrew, Kayden, Carter. I ate sandwich.\"\n38381,2021/05/12,I talked to Layla for 45 minutes in the late afternoon.,I talked to Layla for 45 minutes in the late afternoon.\n38382,2021/05/12,\"I talked to Eva, Nora for 34 minutes in the morning.\",\"I talked to Eva, Nora for 34 minutes in the morning.\"\n38383,2021/05/12,\"I talked to Piper, Avery for 11 minutes in the early afternoon.\",\"I talked to Piper, Avery for 11 minutes in the early afternoon.\"\n38384,2021/05/12,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n38385,2021/05/12,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n38386,2021/05/13,I did weight lifting on 2021/05/13.,I did weight lifting on 2021/05/13.\n38387,2021/05/13,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n38388,2021/05/13,\"I had tacos for lunch with Kayden, Andrew\",\"I had tacos for lunch with Kayden, Andrew\"\n38389,2021/05/13,\"I had dinner with Avery, Layla, Lydia, Piper, Kinsley, Nevaeh. I ate sandwich.\",\"I had dinner with Avery, Layla, Lydia, Piper, Kinsley, Nevaeh. I ate sandwich.\"\n38390,2021/05/13,\"I talked to Nora, Layla, Piper, Eva for 49 minutes in the early evening.\",\"I talked to Nora, Layla, Piper, Eva for 49 minutes in the early evening.\"\n38391,2021/05/13,\"I talked to Eva, Olivia, Hazel, Piper for 13 minutes in the early afternoon.\",\"I talked to Eva, Olivia, Hazel, Piper for 13 minutes in the early afternoon.\"\n38392,2021/05/13,\"I talked to Eva, Rylee, Olivia, Piper for 43 minutes in the morning.\",\"I talked to Eva, Rylee, Olivia, Piper for 43 minutes in the morning.\"\n38393,2021/05/13,\"I spent 50 talking to Piper, Olivia, Nora, Avery on various topics late in the evening.\",\"I spent 50 talking to Piper, Olivia, Nora, Avery on various topics late in the evening.\"\n38394,2021/05/13,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n38395,2021/05/13,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n38396,2021/05/14,\"On 2021/05/14, I took Lydia on a date to a boba shop\",\"On 2021/05/14, I took Lydia on a date to a boba shop\"\n38397,2021/05/14,I did swimming on 2021/05/14.,I did swimming on 2021/05/14.\n38398,2021/05/14,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n38399,2021/05/14,I had sushi for lunch with Olivia,I had sushi for lunch with Olivia\n38400,2021/05/14,I prepare a burger for dinner.,I prepare a burger for dinner.\n38401,2021/05/14,\"I talked to Eva, Hazel for 24 minutes in the late afternoon.\",\"I talked to Eva, Hazel for 24 minutes in the late afternoon.\"\n38402,2021/05/14,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n38403,2021/05/14,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n38404,2021/05/15,\"I was cooking swedish meatball recipe on 2021/05/15 with Carter, Kayden, Andrew at my place\",\"I was cooking swedish meatball recipe on 2021/05/15 with Carter, Kayden, Andrew at my place\"\n38405,2021/05/15,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n38406,2021/05/15,I had lunch with Jackson. I ate pasta.,I had lunch with Jackson. I ate pasta.\n38407,2021/05/15,\"I had dinner with Hazel, Rylee, Piper, Avery, Piper, Nora, Olivia, Claire. I ate steak.\",\"I had dinner with Hazel, Rylee, Piper, Avery, Piper, Nora, Olivia, Claire. I ate steak.\"\n38408,2021/05/15,I talked to Piper for 53 minutes in the late afternoon.,I talked to Piper for 53 minutes in the late afternoon.\n38409,2021/05/15,I talked to Piper for 32 minutes during lunch hours.,I talked to Piper for 32 minutes during lunch hours.\n38410,2021/05/15,\"I spent 14 talking to Hazel, Eva, Layla, Nevaeh on various topics in the early evening.\",\"I spent 14 talking to Hazel, Eva, Layla, Nevaeh on various topics in the early evening.\"\n38411,2021/05/15,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n38412,2021/05/15,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n38413,2021/05/16,I did HIIT on 2021/05/16.,I did HIIT on 2021/05/16.\n38414,2021/05/16,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n38415,2021/05/16,I prepare steak for lunch.,I prepare steak for lunch.\n38416,2021/05/16,I ate steak for dinner.,I ate steak for dinner.\n38417,2021/05/16,\"I spent 13 talking to Piper, Eva, Avery on various topics late in the evening.\",\"I spent 13 talking to Piper, Eva, Avery on various topics late in the evening.\"\n38418,2021/05/16,I spent 51 talking to Nevaeh on various topics in the late afternoon.,I spent 51 talking to Nevaeh on various topics in the late afternoon.\n38419,2021/05/16,\"I talked to Nora, Nevaeh, Avery, Kinsley for 23 minutes in the early afternoon.\",\"I talked to Nora, Nevaeh, Avery, Kinsley for 23 minutes in the early afternoon.\"\n38420,2021/05/16,\"I talked to Hazel, Eva, Piper, Nora for 21 minutes in the morning.\",\"I talked to Hazel, Eva, Piper, Nora for 21 minutes in the morning.\"\n38421,2021/05/16,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n38422,2021/05/16,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n38423,2021/05/17,\"I bought some apricots, cherres, clementines, milk, pineapple juice, toothbrush from the grocery store. I saw Lydia at the grocery store.\",\"I bought some apricots, cherres, clementines, milk, pineapple juice, toothbrush from the grocery store. I saw Lydia at the grocery store.\"\n38424,2021/05/17,I did weight lifting on 2021/05/17.,I did weight lifting on 2021/05/17.\n38425,2021/05/17,I had breakfast with Carter. I ate pancakes.,I had breakfast with Carter. I ate pancakes.\n38426,2021/05/17,I ate tacos for lunch.,I ate tacos for lunch.\n38427,2021/05/17,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n38428,2021/05/17,\"I talked to Nevaeh, Rylee, Layla for 25 minutes in the late afternoon.\",\"I talked to Nevaeh, Rylee, Layla for 25 minutes in the late afternoon.\"\n38429,2021/05/17,\"I talked to Eva, Nevaeh, Rylee, Avery for 28 minutes late in the evening.\",\"I talked to Eva, Nevaeh, Rylee, Avery for 28 minutes late in the evening.\"\n38430,2021/05/17,\"I spent 20 talking to Claire, Hazel on various topics late in the evening.\",\"I spent 20 talking to Claire, Hazel on various topics late in the evening.\"\n38431,2021/05/17,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n38432,2021/05/17,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n38433,2021/05/18,I did HIIT on 2021/05/18.,I did HIIT on 2021/05/18.\n38434,2021/05/18,\"I had breakfast with Claire, Nora, Avery, Layla, Nevaeh, Hazel, Kinsley, Piper, Olivia, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Claire, Nora, Avery, Layla, Nevaeh, Hazel, Kinsley, Piper, Olivia, Piper. I ate eggs, sausages, and bread.\"\n38435,2021/05/18,\"I had fish and chips for lunch with Benjamin, Avery\",\"I had fish and chips for lunch with Benjamin, Avery\"\n38436,2021/05/18,I ate pasta for dinner.,I ate pasta for dinner.\n38437,2021/05/18,\"I talked to Lydia, Piper for 39 minutes in the morning.\",\"I talked to Lydia, Piper for 39 minutes in the morning.\"\n38438,2021/05/18,\"I spent 42 talking to Olivia, Nevaeh, Hazel on various topics in the late afternoon.\",\"I spent 42 talking to Olivia, Nevaeh, Hazel on various topics in the late afternoon.\"\n38439,2021/05/18,\"I talked to Avery, Layla, Nora, Lydia for 12 minutes in the morning.\",\"I talked to Avery, Layla, Nora, Lydia for 12 minutes in the morning.\"\n38440,2021/05/18,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n38441,2021/05/18,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n38442,2021/05/19,I did hiking on 2021/05/19.,I did hiking on 2021/05/19.\n38443,2021/05/19,\"I had eggs, sausages, and bread for breakfast with Jackson, Willow\",\"I had eggs, sausages, and bread for breakfast with Jackson, Willow\"\n38444,2021/05/19,\"I had chinese food for lunch with Benjamin, Avery, Willow\",\"I had chinese food for lunch with Benjamin, Avery, Willow\"\n38445,2021/05/19,I ate pasta for dinner.,I ate pasta for dinner.\n38446,2021/05/19,\"I talked to Lydia, Piper, Nevaeh, Hazel for 16 minutes late in the evening.\",\"I talked to Lydia, Piper, Nevaeh, Hazel for 16 minutes late in the evening.\"\n38447,2021/05/19,I talked to Layla for 42 minutes in the morning.,I talked to Layla for 42 minutes in the morning.\n38448,2021/05/19,I spent 39 talking to Piper on various topics late in the evening.,I spent 39 talking to Piper on various topics late in the evening.\n38449,2021/05/19,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n38450,2021/05/19,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n38451,2021/05/20,I did hiking on 2021/05/20.,I did hiking on 2021/05/20.\n38452,2021/05/20,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n38453,2021/05/20,I ate chinese food for lunch.,I ate chinese food for lunch.\n38454,2021/05/20,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n38455,2021/05/20,\"I spent 52 talking to Kinsley, Nora, Lydia on various topics late in the evening.\",\"I spent 52 talking to Kinsley, Nora, Lydia on various topics late in the evening.\"\n38456,2021/05/20,I spent 38 talking to Lydia on various topics in the late afternoon.,I spent 38 talking to Lydia on various topics in the late afternoon.\n38457,2021/05/20,I talked to Lydia for 23 minutes in the early afternoon.,I talked to Lydia for 23 minutes in the early afternoon.\n38458,2021/05/20,I spent 18 talking to Hazel on various topics in the morning.,I spent 18 talking to Hazel on various topics in the morning.\n38459,2021/05/20,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n38460,2021/05/20,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n38461,2021/05/21,I did weight lifting on 2021/05/21.,I did weight lifting on 2021/05/21.\n38462,2021/05/21,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n38463,2021/05/21,\"I had lunch with Claire, Piper, Piper, Kinsley, Rylee, Olivia, Nora, Eva, Avery, Nevaeh. I ate a burger.\",\"I had lunch with Claire, Piper, Piper, Kinsley, Rylee, Olivia, Nora, Eva, Avery, Nevaeh. I ate a burger.\"\n38464,2021/05/21,I ate steak for dinner.,I ate steak for dinner.\n38465,2021/05/21,I spent 35 talking to Olivia on various topics in the morning.,I spent 35 talking to Olivia on various topics in the morning.\n38466,2021/05/21,I talked to Nevaeh for 12 minutes during lunch hours.,I talked to Nevaeh for 12 minutes during lunch hours.\n38467,2021/05/21,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n38468,2021/05/21,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n38469,2021/05/22,\"On 2021/05/22, I took Violet on a date to a restaurant\",\"On 2021/05/22, I took Violet on a date to a restaurant\"\n38470,2021/05/22,I did biking on 2021/05/22.,I did biking on 2021/05/22.\n38471,2021/05/22,\"I had peanut-butter-jam for breakfast with Piper, Piper, Nora, Claire, Layla, Avery, Kinsley, Olivia, Eva\",\"I had peanut-butter-jam for breakfast with Piper, Piper, Nora, Claire, Layla, Avery, Kinsley, Olivia, Eva\"\n38472,2021/05/22,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n38473,2021/05/22,I ate a burger for dinner.,I ate a burger for dinner.\n38474,2021/05/22,I spent 14 talking to Eva on various topics in the early afternoon.,I spent 14 talking to Eva on various topics in the early afternoon.\n38475,2021/05/22,\"I spent 5 talking to Claire, Eva, Avery on various topics in the early afternoon.\",\"I spent 5 talking to Claire, Eva, Avery on various topics in the early afternoon.\"\n38476,2021/05/22,\"I talked to Lydia, Piper for 42 minutes late in the evening.\",\"I talked to Lydia, Piper for 42 minutes late in the evening.\"\n38477,2021/05/22,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n38478,2021/05/22,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n38479,2021/05/23,\"I spent time working out on 2021/05/23 with Kayden, Andrew.\",\"I spent time working out on 2021/05/23 with Kayden, Andrew.\"\n38480,2021/05/23,\"I went grocery shopping with Rylee, Nevaeh, Avery, Lydia. I bought some apples, apricots, apple juice, orange juice, and toilet paper, body lotion\",\"I went grocery shopping with Rylee, Nevaeh, Avery, Lydia. I bought some apples, apricots, apple juice, orange juice, and toilet paper, body lotion\"\n38481,2021/05/23,I did biking on 2021/05/23.,I did biking on 2021/05/23.\n38482,2021/05/23,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n38483,2021/05/23,\"I had lunch with Emily, Andrew, Carter. I ate chinese food.\",\"I had lunch with Emily, Andrew, Carter. I ate chinese food.\"\n38484,2021/05/23,\"I had pasta for dinner with Emily, Andrew, Kayden\",\"I had pasta for dinner with Emily, Andrew, Kayden\"\n38485,2021/05/23,I spent 49 talking to Hazel on various topics in the late afternoon.,I spent 49 talking to Hazel on various topics in the late afternoon.\n38486,2021/05/23,I spent 45 talking to Avery on various topics in the early afternoon.,I spent 45 talking to Avery on various topics in the early afternoon.\n38487,2021/05/23,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n38488,2021/05/23,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n38489,2021/05/24,\"On 2021/05/24, I took Kennedy on a date to a boba shop\",\"On 2021/05/24, I took Kennedy on a date to a boba shop\"\n38490,2021/05/24,I did HIIT on 2021/05/24.,I did HIIT on 2021/05/24.\n38491,2021/05/24,\"I had peanut-butter-jam for breakfast with Carter, Emily, Kayden\",\"I had peanut-butter-jam for breakfast with Carter, Emily, Kayden\"\n38492,2021/05/24,I prepare tacos for lunch.,I prepare tacos for lunch.\n38493,2021/05/24,I had dinner with Emily. I ate fish and chips.,I had dinner with Emily. I ate fish and chips.\n38494,2021/05/24,\"I talked to Kinsley, Hazel for 29 minutes late in the evening.\",\"I talked to Kinsley, Hazel for 29 minutes late in the evening.\"\n38495,2021/05/24,\"I talked to Nevaeh, Layla, Avery for 23 minutes in the late afternoon.\",\"I talked to Nevaeh, Layla, Avery for 23 minutes in the late afternoon.\"\n38496,2021/05/24,\"I spent 10 talking to Avery, Eva on various topics in the early evening.\",\"I spent 10 talking to Avery, Eva on various topics in the early evening.\"\n38497,2021/05/24,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n38498,2021/05/24,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n38499,2021/05/25,I did HIIT on 2021/05/25.,I did HIIT on 2021/05/25.\n38500,2021/05/25,I had breakfast with Layla. I ate peanut-butter-jam.,I had breakfast with Layla. I ate peanut-butter-jam.\n38501,2021/05/25,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n38502,2021/05/25,I prepare steak for dinner.,I prepare steak for dinner.\n38503,2021/05/25,\"I spent 42 talking to Claire, Eva, Piper, Avery on various topics during lunch hours.\",\"I spent 42 talking to Claire, Eva, Piper, Avery on various topics during lunch hours.\"\n38504,2021/05/25,\"I spent 6 talking to Nora, Piper on various topics late in the evening.\",\"I spent 6 talking to Nora, Piper on various topics late in the evening.\"\n38505,2021/05/25,I spent 50 talking to Rylee on various topics late in the evening.,I spent 50 talking to Rylee on various topics late in the evening.\n38506,2021/05/25,\"I talked to Nevaeh, Avery for 52 minutes late in the evening.\",\"I talked to Nevaeh, Avery for 52 minutes late in the evening.\"\n38507,2021/05/25,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n38508,2021/05/25,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n38509,2021/05/26,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n38510,2021/05/26,\"I had chinese food for lunch with Benjamin, Jackson\",\"I had chinese food for lunch with Benjamin, Jackson\"\n38511,2021/05/26,\"I had dinner with Nora, Olivia, Claire, Kinsley, Eva, Rylee, Piper, Avery, Piper. I ate tacos.\",\"I had dinner with Nora, Olivia, Claire, Kinsley, Eva, Rylee, Piper, Avery, Piper. I ate tacos.\"\n38512,2021/05/26,\"I talked to Hazel, Kinsley for 35 minutes in the late afternoon.\",\"I talked to Hazel, Kinsley for 35 minutes in the late afternoon.\"\n38513,2021/05/26,\"I talked to Hazel, Avery for 14 minutes during lunch hours.\",\"I talked to Hazel, Avery for 14 minutes during lunch hours.\"\n38514,2021/05/26,I spent 46 talking to Nora on various topics in the early afternoon.,I spent 46 talking to Nora on various topics in the early afternoon.\n38515,2021/05/26,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n38516,2021/05/26,I spent 54 minutes watching a movie on TV today.,I spent 54 minutes watching a movie on TV today.\n38517,2021/05/27,\"I bought some peaches, guava juice, orange juice, apple juice, paper towel, mouth wash, shaving cream online.\",\"I bought some peaches, guava juice, orange juice, apple juice, paper towel, mouth wash, shaving cream online.\"\n38518,2021/05/27,I did HIIT on 2021/05/27.,I did HIIT on 2021/05/27.\n38519,2021/05/27,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n38520,2021/05/27,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n38521,2021/05/27,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n38522,2021/05/27,\"I talked to Olivia, Eva, Piper for 44 minutes in the early evening.\",\"I talked to Olivia, Eva, Piper for 44 minutes in the early evening.\"\n38523,2021/05/27,I talked to Piper for 10 minutes in the early evening.,I talked to Piper for 10 minutes in the early evening.\n38524,2021/05/27,\"I spent 43 talking to Avery, Layla on various topics in the late afternoon.\",\"I spent 43 talking to Avery, Layla on various topics in the late afternoon.\"\n38525,2021/05/27,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n38526,2021/05/27,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n38527,2021/05/28,\"On 2021/05/28, I took Roman on a date to a restaurant\",\"On 2021/05/28, I took Roman on a date to a restaurant\"\n38528,2021/05/28,I did HIIT on 2021/05/28.,I did HIIT on 2021/05/28.\n38529,2021/05/28,\"I had pancakes for breakfast with Avery, Jackson\",\"I had pancakes for breakfast with Avery, Jackson\"\n38530,2021/05/28,I prepare tacos for lunch.,I prepare tacos for lunch.\n38531,2021/05/28,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n38532,2021/05/28,I talked to Olivia for 12 minutes in the late afternoon.,I talked to Olivia for 12 minutes in the late afternoon.\n38533,2021/05/28,I spent 7 talking to Piper on various topics during lunch hours.,I spent 7 talking to Piper on various topics during lunch hours.\n38534,2021/05/28,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n38535,2021/05/28,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n38536,2021/05/29,\"I bought some strawberries, raspberries, guava, mango juice, mineral water, orange juice, facial wash, shaving cream, body lotion, paper towel from the grocery store. I saw Kayden, Emily, Andrew, Carter at the grocery store.\",\"I bought some strawberries, raspberries, guava, mango juice, mineral water, orange juice, facial wash, shaving cream, body lotion, paper towel from the grocery store. I saw Kayden, Emily, Andrew, Carter at the grocery store.\"\n38537,2021/05/29,I did hiking on 2021/05/29.,I did hiking on 2021/05/29.\n38538,2021/05/29,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n38539,2021/05/29,I prepare sushi for lunch.,I prepare sushi for lunch.\n38540,2021/05/29,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n38541,2021/05/29,\"I spent 18 talking to Hazel, Nora on various topics late in the evening.\",\"I spent 18 talking to Hazel, Nora on various topics late in the evening.\"\n38542,2021/05/29,\"I talked to Piper, Piper, Nevaeh for 24 minutes in the late afternoon.\",\"I talked to Piper, Piper, Nevaeh for 24 minutes in the late afternoon.\"\n38543,2021/05/29,\"I spent 48 talking to Nevaeh, Piper on various topics in the early evening.\",\"I spent 48 talking to Nevaeh, Piper on various topics in the early evening.\"\n38544,2021/05/29,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n38545,2021/05/29,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n38546,2021/05/30,I spent time learning a language on 2021/05/30 with Olivia.,I spent time learning a language on 2021/05/30 with Olivia.\n38547,2021/05/30,I did biking on 2021/05/30.,I did biking on 2021/05/30.\n38548,2021/05/30,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n38549,2021/05/30,I prepare indian food for lunch.,I prepare indian food for lunch.\n38550,2021/05/30,I prepare sushi for dinner.,I prepare sushi for dinner.\n38551,2021/05/30,\"I spent 55 talking to Claire, Nora on various topics in the morning.\",\"I spent 55 talking to Claire, Nora on various topics in the morning.\"\n38552,2021/05/30,\"I talked to Claire, Hazel for 19 minutes in the late afternoon.\",\"I talked to Claire, Hazel for 19 minutes in the late afternoon.\"\n38553,2021/05/30,\"I spent 18 talking to Nora, Kinsley, Lydia, Piper on various topics late in the evening.\",\"I spent 18 talking to Nora, Kinsley, Lydia, Piper on various topics late in the evening.\"\n38554,2021/05/30,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n38555,2021/05/30,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n38556,2021/05/31,I did weight lifting on 2021/05/31.,I did weight lifting on 2021/05/31.\n38557,2021/05/31,I ate cereals for breakfast.,I ate cereals for breakfast.\n38558,2021/05/31,\"I had indian food for lunch with Eva, Rylee, Piper, Claire, Piper, Nevaeh, Olivia, Hazel\",\"I had indian food for lunch with Eva, Rylee, Piper, Claire, Piper, Nevaeh, Olivia, Hazel\"\n38559,2021/05/31,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n38560,2021/05/31,\"I talked to Nora, Layla, Claire for 25 minutes late in the evening.\",\"I talked to Nora, Layla, Claire for 25 minutes late in the evening.\"\n38561,2021/05/31,I talked to Rylee for 14 minutes in the early afternoon.,I talked to Rylee for 14 minutes in the early afternoon.\n38562,2021/05/31,\"I talked to Nora, Layla for 7 minutes in the late afternoon.\",\"I talked to Nora, Layla for 7 minutes in the late afternoon.\"\n38563,2021/05/31,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n38564,2021/05/31,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n38565,2021/06/01,\"I was baking blackberry-raspberry skillet cobbler, cheater’s mini rhubarb galettes on 2021/06/01 with Piper, Hazel, Nora, Eva at my place\",\"I was baking blackberry-raspberry skillet cobbler, cheater’s mini rhubarb galettes on 2021/06/01 with Piper, Hazel, Nora, Eva at my place\"\n38566,2021/06/01,I did swimming on 2021/06/01.,I did swimming on 2021/06/01.\n38567,2021/06/01,I had peanut-butter-jam for breakfast with Andrew,I had peanut-butter-jam for breakfast with Andrew\n38568,2021/06/01,I prepare pasta for lunch.,I prepare pasta for lunch.\n38569,2021/06/01,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n38570,2021/06/01,\"I talked to Piper, Nevaeh, Claire, Kinsley for 31 minutes in the morning.\",\"I talked to Piper, Nevaeh, Claire, Kinsley for 31 minutes in the morning.\"\n38571,2021/06/01,\"I talked to Claire, Piper for 44 minutes in the early afternoon.\",\"I talked to Claire, Piper for 44 minutes in the early afternoon.\"\n38572,2021/06/01,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n38573,2021/06/01,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n38574,2021/06/02,I really enjoyed meditation on 2021/06/02,I really enjoyed meditation on 2021/06/02\n38575,2021/06/02,\"I went grocery shopping with Andrew, Kayden, Carter, Emily. I bought some guava, pineapples, apricots, tea, and mouth wash, conditioner, facial wash\",\"I went grocery shopping with Andrew, Kayden, Carter, Emily. I bought some guava, pineapples, apricots, tea, and mouth wash, conditioner, facial wash\"\n38576,2021/06/02,I did running on 2021/06/02.,I did running on 2021/06/02.\n38577,2021/06/02,\"I had breakfast with Carter, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Andrew. I ate eggs, sausages, and bread.\"\n38578,2021/06/02,I ate pasta for lunch.,I ate pasta for lunch.\n38579,2021/06/02,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n38580,2021/06/02,\"I talked to Eva, Kinsley, Piper, Nora for 13 minutes in the early evening.\",\"I talked to Eva, Kinsley, Piper, Nora for 13 minutes in the early evening.\"\n38581,2021/06/02,\"I talked to Layla, Claire, Nora for 26 minutes in the morning.\",\"I talked to Layla, Claire, Nora for 26 minutes in the morning.\"\n38582,2021/06/02,\"I spent 12 talking to Rylee, Claire, Kinsley on various topics late in the evening.\",\"I spent 12 talking to Rylee, Claire, Kinsley on various topics late in the evening.\"\n38583,2021/06/02,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n38584,2021/06/02,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n38585,2021/06/03,I did HIIT on 2021/06/03.,I did HIIT on 2021/06/03.\n38586,2021/06/03,\"I had breakfast with Olivia, Piper, Avery, Kinsley, Nora, Lydia, Nevaeh, Layla, Claire. I ate eggs, sausages, and bread.\",\"I had breakfast with Olivia, Piper, Avery, Kinsley, Nora, Lydia, Nevaeh, Layla, Claire. I ate eggs, sausages, and bread.\"\n38587,2021/06/03,\"I had lunch with Lydia, Avery, Nevaeh, Hazel. I ate sushi.\",\"I had lunch with Lydia, Avery, Nevaeh, Hazel. I ate sushi.\"\n38588,2021/06/03,I had dinner with Andrew. I ate tacos.,I had dinner with Andrew. I ate tacos.\n38589,2021/06/03,I talked to Claire for 25 minutes late in the evening.,I talked to Claire for 25 minutes late in the evening.\n38590,2021/06/03,\"I spent 28 talking to Nora, Lydia, Rylee, Kinsley on various topics in the late afternoon.\",\"I spent 28 talking to Nora, Lydia, Rylee, Kinsley on various topics in the late afternoon.\"\n38591,2021/06/03,\"I spent 6 talking to Eva, Nora, Avery, Lydia on various topics during lunch hours.\",\"I spent 6 talking to Eva, Nora, Avery, Lydia on various topics during lunch hours.\"\n38592,2021/06/03,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n38593,2021/06/03,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n38594,2021/06/04,I went on a date with Cora on 2021/06/04 at a boba shop,I went on a date with Cora on 2021/06/04 at a boba shop\n38595,2021/06/04,I did HIIT on 2021/06/04.,I did HIIT on 2021/06/04.\n38596,2021/06/04,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n38597,2021/06/04,\"I had lunch with Kinsley, Piper, Avery, Lydia, Nora, Hazel, Piper. I ate indian food.\",\"I had lunch with Kinsley, Piper, Avery, Lydia, Nora, Hazel, Piper. I ate indian food.\"\n38598,2021/06/04,I prepare tacos for dinner.,I prepare tacos for dinner.\n38599,2021/06/04,\"I talked to Rylee, Olivia, Piper for 20 minutes during lunch hours.\",\"I talked to Rylee, Olivia, Piper for 20 minutes during lunch hours.\"\n38600,2021/06/04,\"I talked to Claire, Nora, Lydia, Hazel for 50 minutes in the late afternoon.\",\"I talked to Claire, Nora, Lydia, Hazel for 50 minutes in the late afternoon.\"\n38601,2021/06/04,\"I spent 13 talking to Olivia, Lydia, Claire on various topics in the morning.\",\"I spent 13 talking to Olivia, Lydia, Claire on various topics in the morning.\"\n38602,2021/06/04,\"I spent 30 talking to Eva, Layla on various topics in the late afternoon.\",\"I spent 30 talking to Eva, Layla on various topics in the late afternoon.\"\n38603,2021/06/04,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n38604,2021/06/04,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n38605,2021/06/05,\"I had peanut-butter-jam for breakfast with Andrew, Carter, Emily, Kayden\",\"I had peanut-butter-jam for breakfast with Andrew, Carter, Emily, Kayden\"\n38606,2021/06/05,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n38607,2021/06/05,I prepare sushi for dinner.,I prepare sushi for dinner.\n38608,2021/06/05,I spent 26 talking to Layla on various topics in the early evening.,I spent 26 talking to Layla on various topics in the early evening.\n38609,2021/06/05,\"I spent 49 talking to Nora, Eva on various topics during lunch hours.\",\"I spent 49 talking to Nora, Eva on various topics during lunch hours.\"\n38610,2021/06/05,\"I talked to Piper, Eva for 21 minutes late in the evening.\",\"I talked to Piper, Eva for 21 minutes late in the evening.\"\n38611,2021/06/05,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n38612,2021/06/05,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n38613,2021/06/06,I really enjoyed meditation on 2021/06/06,I really enjoyed meditation on 2021/06/06\n38614,2021/06/06,I did biking on 2021/06/06.,I did biking on 2021/06/06.\n38615,2021/06/06,I had breakfast with Andrew. I ate cereals.,I had breakfast with Andrew. I ate cereals.\n38616,2021/06/06,\"I had a burger for lunch with Willow, Benjamin\",\"I had a burger for lunch with Willow, Benjamin\"\n38617,2021/06/06,I ate pasta for dinner.,I ate pasta for dinner.\n38618,2021/06/06,\"I talked to Eva, Piper, Nevaeh, Claire for 42 minutes during lunch hours.\",\"I talked to Eva, Piper, Nevaeh, Claire for 42 minutes during lunch hours.\"\n38619,2021/06/06,\"I spent 20 talking to Kinsley, Nevaeh on various topics late in the evening.\",\"I spent 20 talking to Kinsley, Nevaeh on various topics late in the evening.\"\n38620,2021/06/06,I talked to Lydia for 42 minutes in the early afternoon.,I talked to Lydia for 42 minutes in the early afternoon.\n38621,2021/06/06,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n38622,2021/06/06,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n38623,2021/06/07,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n38624,2021/06/07,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n38625,2021/06/07,\"I had indian food for dinner with Piper, Olivia, Rylee, Nevaeh, Avery, Piper, Hazel, Layla, Eva, Lydia, Claire, Nora\",\"I had indian food for dinner with Piper, Olivia, Rylee, Nevaeh, Avery, Piper, Hazel, Layla, Eva, Lydia, Claire, Nora\"\n38626,2021/06/07,\"I talked to Eva, Nora for 52 minutes during lunch hours.\",\"I talked to Eva, Nora for 52 minutes during lunch hours.\"\n38627,2021/06/07,\"I talked to Piper, Hazel, Lydia for 7 minutes in the early evening.\",\"I talked to Piper, Hazel, Lydia for 7 minutes in the early evening.\"\n38628,2021/06/07,\"I spent 33 talking to Nevaeh, Kinsley on various topics late in the evening.\",\"I spent 33 talking to Nevaeh, Kinsley on various topics late in the evening.\"\n38629,2021/06/07,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n38630,2021/06/07,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n38631,2021/06/08,I did weight lifting on 2021/06/08.,I did weight lifting on 2021/06/08.\n38632,2021/06/08,\"I had breakfast with Piper, Claire, Lydia, Piper, Kinsley, Nevaeh, Nora, Layla, Eva. I ate pancakes.\",\"I had breakfast with Piper, Claire, Lydia, Piper, Kinsley, Nevaeh, Nora, Layla, Eva. I ate pancakes.\"\n38633,2021/06/08,\"I had lunch with Kayden, Andrew, Emily. I ate indian food.\",\"I had lunch with Kayden, Andrew, Emily. I ate indian food.\"\n38634,2021/06/08,\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate fish and chips.\",\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate fish and chips.\"\n38635,2021/06/08,\"I spent 7 talking to Eva, Piper, Nora, Rylee on various topics in the late afternoon.\",\"I spent 7 talking to Eva, Piper, Nora, Rylee on various topics in the late afternoon.\"\n38636,2021/06/08,\"I talked to Rylee, Piper, Avery for 36 minutes in the morning.\",\"I talked to Rylee, Piper, Avery for 36 minutes in the morning.\"\n38637,2021/06/08,\"I talked to Piper, Olivia, Layla, Hazel for 8 minutes in the early afternoon.\",\"I talked to Piper, Olivia, Layla, Hazel for 8 minutes in the early afternoon.\"\n38638,2021/06/08,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n38639,2021/06/08,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n38640,2021/06/09,I did swimming on 2021/06/09.,I did swimming on 2021/06/09.\n38641,2021/06/09,I ate cereals for breakfast.,I ate cereals for breakfast.\n38642,2021/06/09,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n38643,2021/06/09,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n38644,2021/06/09,\"I talked to Nevaeh, Avery, Hazel, Piper for 31 minutes in the early evening.\",\"I talked to Nevaeh, Avery, Hazel, Piper for 31 minutes in the early evening.\"\n38645,2021/06/09,\"I talked to Eva, Claire, Nora, Avery for 19 minutes in the early evening.\",\"I talked to Eva, Claire, Nora, Avery for 19 minutes in the early evening.\"\n38646,2021/06/09,\"I talked to Claire, Avery, Eva for 41 minutes in the morning.\",\"I talked to Claire, Avery, Eva for 41 minutes in the morning.\"\n38647,2021/06/09,\"I talked to Piper, Hazel for 22 minutes late in the evening.\",\"I talked to Piper, Hazel for 22 minutes late in the evening.\"\n38648,2021/06/09,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n38649,2021/06/09,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n38650,2021/06/10,I entertained Andrew at my place on 2021/06/10 and cook chow mein,I entertained Andrew at my place on 2021/06/10 and cook chow mein\n38651,2021/06/10,\"I bought some nectarines, watermelons, bananas, sports drinks, orange juice, mineral water, facial wash, shampoo online.\",\"I bought some nectarines, watermelons, bananas, sports drinks, orange juice, mineral water, facial wash, shampoo online.\"\n38652,2021/06/10,I did running on 2021/06/10.,I did running on 2021/06/10.\n38653,2021/06/10,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n38654,2021/06/10,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n38655,2021/06/10,I had dinner with Avery. I ate chinese food.,I had dinner with Avery. I ate chinese food.\n38656,2021/06/10,\"I talked to Piper, Nora, Claire, Kinsley for 33 minutes in the late afternoon.\",\"I talked to Piper, Nora, Claire, Kinsley for 33 minutes in the late afternoon.\"\n38657,2021/06/10,\"I spent 33 talking to Nora, Olivia, Layla, Piper on various topics during lunch hours.\",\"I spent 33 talking to Nora, Olivia, Layla, Piper on various topics during lunch hours.\"\n38658,2021/06/10,\"I talked to Hazel, Piper for 32 minutes during lunch hours.\",\"I talked to Hazel, Piper for 32 minutes during lunch hours.\"\n38659,2021/06/10,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n38660,2021/06/10,I watched news for 36 minutes on TV today.,I watched news for 36 minutes on TV today.\n38661,2021/06/11,I did swimming on 2021/06/11.,I did swimming on 2021/06/11.\n38662,2021/06/11,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n38663,2021/06/11,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n38664,2021/06/11,\"I had chinese food for dinner with Piper, Hazel\",\"I had chinese food for dinner with Piper, Hazel\"\n38665,2021/06/11,\"I talked to Claire, Layla, Nora for 18 minutes during lunch hours.\",\"I talked to Claire, Layla, Nora for 18 minutes during lunch hours.\"\n38666,2021/06/11,I talked to Avery for 12 minutes during lunch hours.,I talked to Avery for 12 minutes during lunch hours.\n38667,2021/06/11,\"I talked to Layla, Lydia for 14 minutes in the late afternoon.\",\"I talked to Layla, Lydia for 14 minutes in the late afternoon.\"\n38668,2021/06/11,\"I spent 20 talking to Nevaeh, Lydia on various topics in the late afternoon.\",\"I spent 20 talking to Nevaeh, Lydia on various topics in the late afternoon.\"\n38669,2021/06/11,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n38670,2021/06/11,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n38671,2021/06/12,I spent some time yoga on 2021/06/12.,I spent some time yoga on 2021/06/12.\n38672,2021/06/12,I had breakfast with Avery. I ate oatmeal.,I had breakfast with Avery. I ate oatmeal.\n38673,2021/06/12,\"I had sandwich for lunch with Andrew, Emily, Carter, Kayden\",\"I had sandwich for lunch with Andrew, Emily, Carter, Kayden\"\n38674,2021/06/12,I ate sandwich for dinner.,I ate sandwich for dinner.\n38675,2021/06/12,\"I talked to Piper, Hazel, Rylee, Claire for 49 minutes during lunch hours.\",\"I talked to Piper, Hazel, Rylee, Claire for 49 minutes during lunch hours.\"\n38676,2021/06/12,\"I talked to Layla, Piper for 10 minutes in the late afternoon.\",\"I talked to Layla, Piper for 10 minutes in the late afternoon.\"\n38677,2021/06/12,I talked to Rylee for 18 minutes in the early evening.,I talked to Rylee for 18 minutes in the early evening.\n38678,2021/06/12,I talked to Piper for 25 minutes in the morning.,I talked to Piper for 25 minutes in the morning.\n38679,2021/06/12,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n38680,2021/06/12,I watched a tv series for 16 minutes on TV today.,I watched a tv series for 16 minutes on TV today.\n38681,2021/06/13,\"I went grocery shopping. I bought some nectarines, pineapples, raspberries, clementines, mineral water, orange juice, tea, apple juice, and body lotion\",\"I went grocery shopping. I bought some nectarines, pineapples, raspberries, clementines, mineral water, orange juice, tea, apple juice, and body lotion\"\n38682,2021/06/13,I did weight lifting on 2021/06/13.,I did weight lifting on 2021/06/13.\n38683,2021/06/13,\"I had oatmeal for breakfast with Andrew, Kayden\",\"I had oatmeal for breakfast with Andrew, Kayden\"\n38684,2021/06/13,\"I had lunch with Kayden, Carter. I ate sandwich.\",\"I had lunch with Kayden, Carter. I ate sandwich.\"\n38685,2021/06/13,I prepare indian food for dinner.,I prepare indian food for dinner.\n38686,2021/06/13,\"I spent 27 talking to Rylee, Claire on various topics during lunch hours.\",\"I spent 27 talking to Rylee, Claire on various topics during lunch hours.\"\n38687,2021/06/13,\"I spent 55 talking to Piper, Layla, Lydia, Kinsley on various topics in the early afternoon.\",\"I spent 55 talking to Piper, Layla, Lydia, Kinsley on various topics in the early afternoon.\"\n38688,2021/06/13,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n38689,2021/06/13,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n38690,2021/06/14,I did weight lifting on 2021/06/14.,I did weight lifting on 2021/06/14.\n38691,2021/06/14,I had cereals for breakfast with Emily,I had cereals for breakfast with Emily\n38692,2021/06/14,I had sushi for lunch with Andrew,I had sushi for lunch with Andrew\n38693,2021/06/14,I had sandwich for dinner with Emily,I had sandwich for dinner with Emily\n38694,2021/06/14,\"I spent 26 talking to Avery, Piper on various topics in the early evening.\",\"I spent 26 talking to Avery, Piper on various topics in the early evening.\"\n38695,2021/06/14,I spent 29 talking to Piper on various topics during lunch hours.,I spent 29 talking to Piper on various topics during lunch hours.\n38696,2021/06/14,\"I talked to Olivia, Lydia, Layla, Claire for 28 minutes in the late afternoon.\",\"I talked to Olivia, Lydia, Layla, Claire for 28 minutes in the late afternoon.\"\n38697,2021/06/14,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n38698,2021/06/14,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n38699,2021/06/15,\"I really enjoyed baking giant cinnamon roll, chocolate skillet cake on 2021/06/15 with Willow, Avery, Benjamin at my place\",\"I really enjoyed baking giant cinnamon roll, chocolate skillet cake on 2021/06/15 with Willow, Avery, Benjamin at my place\"\n38700,2021/06/15,I did HIIT on 2021/06/15.,I did HIIT on 2021/06/15.\n38701,2021/06/15,\"I had cereals for breakfast with Piper, Claire, Nora, Hazel\",\"I had cereals for breakfast with Piper, Claire, Nora, Hazel\"\n38702,2021/06/15,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n38703,2021/06/15,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n38704,2021/06/15,I spent 50 talking to Claire on various topics late in the evening.,I spent 50 talking to Claire on various topics late in the evening.\n38705,2021/06/15,\"I spent 37 talking to Layla, Nora, Avery, Eva on various topics late in the evening.\",\"I spent 37 talking to Layla, Nora, Avery, Eva on various topics late in the evening.\"\n38706,2021/06/15,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n38707,2021/06/15,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n38708,2021/06/16,\"I went grocery shopping with Piper, Olivia, Kinsley, Claire, Eva. I bought some peaches, guava, soda, apple juice, chocolate milk, and shaving cream, shampoo, mouth wash\",\"I went grocery shopping with Piper, Olivia, Kinsley, Claire, Eva. I bought some peaches, guava, soda, apple juice, chocolate milk, and shaving cream, shampoo, mouth wash\"\n38709,2021/06/16,I did swimming on 2021/06/16.,I did swimming on 2021/06/16.\n38710,2021/06/16,\"I had eggs, sausages, and bread for breakfast with Andrew, Carter, Kayden\",\"I had eggs, sausages, and bread for breakfast with Andrew, Carter, Kayden\"\n38711,2021/06/16,\"I had lunch with Piper, Claire. I ate fish and chips.\",\"I had lunch with Piper, Claire. I ate fish and chips.\"\n38712,2021/06/16,\"I had dinner with Eva, Claire, Olivia, Layla, Lydia, Piper, Rylee, Nevaeh, Kinsley. I ate sushi.\",\"I had dinner with Eva, Claire, Olivia, Layla, Lydia, Piper, Rylee, Nevaeh, Kinsley. I ate sushi.\"\n38713,2021/06/16,I talked to Eva for 54 minutes during lunch hours.,I talked to Eva for 54 minutes during lunch hours.\n38714,2021/06/16,\"I spent 12 talking to Olivia, Rylee, Kinsley on various topics in the early evening.\",\"I spent 12 talking to Olivia, Rylee, Kinsley on various topics in the early evening.\"\n38715,2021/06/16,\"I talked to Lydia, Hazel, Eva for 12 minutes in the late afternoon.\",\"I talked to Lydia, Hazel, Eva for 12 minutes in the late afternoon.\"\n38716,2021/06/16,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n38717,2021/06/16,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n38718,2021/06/17,I did hiking on 2021/06/17.,I did hiking on 2021/06/17.\n38719,2021/06/17,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n38720,2021/06/17,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n38721,2021/06/17,\"I had dinner with Layla, Hazel, Nevaeh, Nora, Piper, Eva, Avery, Piper, Kinsley. I ate tacos.\",\"I had dinner with Layla, Hazel, Nevaeh, Nora, Piper, Eva, Avery, Piper, Kinsley. I ate tacos.\"\n38722,2021/06/17,\"I spent 25 talking to Layla, Piper, Lydia, Avery on various topics during lunch hours.\",\"I spent 25 talking to Layla, Piper, Lydia, Avery on various topics during lunch hours.\"\n38723,2021/06/17,\"I talked to Lydia, Hazel, Avery, Eva for 49 minutes in the early evening.\",\"I talked to Lydia, Hazel, Avery, Eva for 49 minutes in the early evening.\"\n38724,2021/06/17,I spent 45 talking to Claire on various topics late in the evening.,I spent 45 talking to Claire on various topics late in the evening.\n38725,2021/06/17,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n38726,2021/06/17,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n38727,2021/06/18,I did running on 2021/06/18.,I did running on 2021/06/18.\n38728,2021/06/18,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n38729,2021/06/18,\"I had lunch with Layla, Avery, Eva, Nora. I ate tacos.\",\"I had lunch with Layla, Avery, Eva, Nora. I ate tacos.\"\n38730,2021/06/18,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n38731,2021/06/18,\"I spent 18 talking to Claire, Avery on various topics in the morning.\",\"I spent 18 talking to Claire, Avery on various topics in the morning.\"\n38732,2021/06/18,\"I spent 55 talking to Lydia, Avery, Piper, Claire on various topics in the early evening.\",\"I spent 55 talking to Lydia, Avery, Piper, Claire on various topics in the early evening.\"\n38733,2021/06/18,\"I spent 18 talking to Eva, Claire, Piper on various topics late in the evening.\",\"I spent 18 talking to Eva, Claire, Piper on various topics late in the evening.\"\n38734,2021/06/18,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n38735,2021/06/18,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n38736,2021/06/19,I did biking on 2021/06/19.,I did biking on 2021/06/19.\n38737,2021/06/19,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n38738,2021/06/19,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n38739,2021/06/19,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n38740,2021/06/19,\"I spent 28 talking to Nevaeh, Olivia, Layla, Rylee on various topics during lunch hours.\",\"I spent 28 talking to Nevaeh, Olivia, Layla, Rylee on various topics during lunch hours.\"\n38741,2021/06/19,\"I talked to Rylee, Avery, Kinsley, Layla for 46 minutes in the late afternoon.\",\"I talked to Rylee, Avery, Kinsley, Layla for 46 minutes in the late afternoon.\"\n38742,2021/06/19,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n38743,2021/06/19,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n38744,2021/06/20,I did swimming on 2021/06/20.,I did swimming on 2021/06/20.\n38745,2021/06/20,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n38746,2021/06/20,I ate pasta for lunch.,I ate pasta for lunch.\n38747,2021/06/20,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n38748,2021/06/20,\"I talked to Piper, Olivia, Nevaeh for 27 minutes during lunch hours.\",\"I talked to Piper, Olivia, Nevaeh for 27 minutes during lunch hours.\"\n38749,2021/06/20,\"I spent 28 talking to Claire, Kinsley, Piper, Nora on various topics late in the evening.\",\"I spent 28 talking to Claire, Kinsley, Piper, Nora on various topics late in the evening.\"\n38750,2021/06/20,\"I talked to Olivia, Piper, Hazel, Nora for 37 minutes in the early afternoon.\",\"I talked to Olivia, Piper, Hazel, Nora for 37 minutes in the early afternoon.\"\n38751,2021/06/20,\"I spent 41 talking to Lydia, Avery, Nora on various topics in the morning.\",\"I spent 41 talking to Lydia, Avery, Nora on various topics in the morning.\"\n38752,2021/06/20,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n38753,2021/06/20,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n38754,2021/06/21,I did HIIT on 2021/06/21.,I did HIIT on 2021/06/21.\n38755,2021/06/21,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n38756,2021/06/21,\"I had lunch with Kayden, Emily, Andrew, Carter. I ate chinese food.\",\"I had lunch with Kayden, Emily, Andrew, Carter. I ate chinese food.\"\n38757,2021/06/21,\"I had chinese food for dinner with Avery, Piper, Rylee, Layla, Hazel, Eva, Nora, Piper, Kinsley, Claire, Nevaeh\",\"I had chinese food for dinner with Avery, Piper, Rylee, Layla, Hazel, Eva, Nora, Piper, Kinsley, Claire, Nevaeh\"\n38758,2021/06/21,\"I spent 48 talking to Nevaeh, Piper on various topics in the late afternoon.\",\"I spent 48 talking to Nevaeh, Piper on various topics in the late afternoon.\"\n38759,2021/06/21,\"I talked to Piper, Layla, Nevaeh, Lydia for 44 minutes late in the evening.\",\"I talked to Piper, Layla, Nevaeh, Lydia for 44 minutes late in the evening.\"\n38760,2021/06/21,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n38761,2021/06/21,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n38762,2021/06/22,I did HIIT on 2021/06/22.,I did HIIT on 2021/06/22.\n38763,2021/06/22,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n38764,2021/06/22,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n38765,2021/06/22,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n38766,2021/06/22,I talked to Avery for 40 minutes in the late afternoon.,I talked to Avery for 40 minutes in the late afternoon.\n38767,2021/06/22,\"I spent 19 talking to Avery, Claire, Layla on various topics in the morning.\",\"I spent 19 talking to Avery, Claire, Layla on various topics in the morning.\"\n38768,2021/06/22,\"I spent 11 talking to Claire, Olivia, Piper on various topics late in the evening.\",\"I spent 11 talking to Claire, Olivia, Piper on various topics late in the evening.\"\n38769,2021/06/22,\"I spent 47 talking to Piper, Nevaeh, Avery on various topics in the morning.\",\"I spent 47 talking to Piper, Nevaeh, Avery on various topics in the morning.\"\n38770,2021/06/22,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n38771,2021/06/22,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n38772,2021/06/23,I did hiking on 2021/06/23.,I did hiking on 2021/06/23.\n38773,2021/06/23,\"I had toast and cheese for breakfast with Jackson, Benjamin\",\"I had toast and cheese for breakfast with Jackson, Benjamin\"\n38774,2021/06/23,\"I had lunch with Piper, Layla, Hazel. I ate steak.\",\"I had lunch with Piper, Layla, Hazel. I ate steak.\"\n38775,2021/06/23,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n38776,2021/06/23,\"I talked to Lydia, Hazel, Rylee, Kinsley for 32 minutes in the early afternoon.\",\"I talked to Lydia, Hazel, Rylee, Kinsley for 32 minutes in the early afternoon.\"\n38777,2021/06/23,\"I spent 19 talking to Piper, Claire on various topics in the early afternoon.\",\"I spent 19 talking to Piper, Claire on various topics in the early afternoon.\"\n38778,2021/06/23,\"I talked to Avery, Lydia for 34 minutes late in the evening.\",\"I talked to Avery, Lydia for 34 minutes late in the evening.\"\n38779,2021/06/23,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n38780,2021/06/23,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n38781,2021/06/24,I went on a date with Adrian on 2021/06/24 at a park,I went on a date with Adrian on 2021/06/24 at a park\n38782,2021/06/24,I did weight lifting on 2021/06/24.,I did weight lifting on 2021/06/24.\n38783,2021/06/24,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n38784,2021/06/24,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n38785,2021/06/24,I had dinner. I ate steak.,I had dinner. I ate steak.\n38786,2021/06/24,\"I talked to Nora, Claire for 15 minutes in the early afternoon.\",\"I talked to Nora, Claire for 15 minutes in the early afternoon.\"\n38787,2021/06/24,\"I spent 16 talking to Kinsley, Nevaeh, Avery on various topics in the early afternoon.\",\"I spent 16 talking to Kinsley, Nevaeh, Avery on various topics in the early afternoon.\"\n38788,2021/06/24,\"I spent 21 talking to Eva, Rylee, Nevaeh, Olivia on various topics in the early evening.\",\"I spent 21 talking to Eva, Rylee, Nevaeh, Olivia on various topics in the early evening.\"\n38789,2021/06/24,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n38790,2021/06/24,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n38791,2021/06/25,\"I bought some cherres, mango juice, sports drinks, apple juice, tea, shaving cream, body lotion, paper towel, conditioner from the grocery store. I saw Hazel, Kinsley, Claire, Lydia, Piper, Piper, Eva, Nevaeh, Rylee, Avery, Nora at the grocery store.\",\"I bought some cherres, mango juice, sports drinks, apple juice, tea, shaving cream, body lotion, paper towel, conditioner from the grocery store. I saw Hazel, Kinsley, Claire, Lydia, Piper, Piper, Eva, Nevaeh, Rylee, Avery, Nora at the grocery store.\"\n38792,2021/06/25,I did swimming on 2021/06/25.,I did swimming on 2021/06/25.\n38793,2021/06/25,\"I had breakfast with Nora, Layla, Hazel. I ate peanut-butter-jam.\",\"I had breakfast with Nora, Layla, Hazel. I ate peanut-butter-jam.\"\n38794,2021/06/25,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n38795,2021/06/25,\"I had dinner with Eva, Rylee, Nora, Lydia, Layla, Olivia, Hazel. I ate sandwich.\",\"I had dinner with Eva, Rylee, Nora, Lydia, Layla, Olivia, Hazel. I ate sandwich.\"\n38796,2021/06/25,\"I spent 35 talking to Piper, Rylee, Nevaeh, Claire on various topics in the early evening.\",\"I spent 35 talking to Piper, Rylee, Nevaeh, Claire on various topics in the early evening.\"\n38797,2021/06/25,\"I talked to Claire, Avery, Nevaeh for 36 minutes late in the evening.\",\"I talked to Claire, Avery, Nevaeh for 36 minutes late in the evening.\"\n38798,2021/06/25,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n38799,2021/06/25,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n38800,2021/06/26,I did running on 2021/06/26.,I did running on 2021/06/26.\n38801,2021/06/26,\"I had breakfast with Kayden, Emily. I ate cereals.\",\"I had breakfast with Kayden, Emily. I ate cereals.\"\n38802,2021/06/26,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n38803,2021/06/26,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n38804,2021/06/26,I spent 32 talking to Hazel on various topics in the morning.,I spent 32 talking to Hazel on various topics in the morning.\n38805,2021/06/26,\"I talked to Kinsley, Eva for 32 minutes late in the evening.\",\"I talked to Kinsley, Eva for 32 minutes late in the evening.\"\n38806,2021/06/26,\"I talked to Rylee, Lydia, Nora, Eva for 22 minutes in the late afternoon.\",\"I talked to Rylee, Lydia, Nora, Eva for 22 minutes in the late afternoon.\"\n38807,2021/06/26,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n38808,2021/06/26,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n38809,2021/06/27,I did biking on 2021/06/27.,I did biking on 2021/06/27.\n38810,2021/06/27,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n38811,2021/06/27,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n38812,2021/06/27,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n38813,2021/06/27,\"I spent 19 talking to Claire, Nora, Piper on various topics in the morning.\",\"I spent 19 talking to Claire, Nora, Piper on various topics in the morning.\"\n38814,2021/06/27,\"I spent 37 talking to Kinsley, Eva, Layla, Olivia on various topics in the early evening.\",\"I spent 37 talking to Kinsley, Eva, Layla, Olivia on various topics in the early evening.\"\n38815,2021/06/27,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n38816,2021/06/27,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n38817,2021/06/28,\"On 2021/06/28, I took Layla on a date to a coffee Shop\",\"On 2021/06/28, I took Layla on a date to a coffee Shop\"\n38818,2021/06/28,I did biking on 2021/06/28.,I did biking on 2021/06/28.\n38819,2021/06/28,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n38820,2021/06/28,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n38821,2021/06/28,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n38822,2021/06/28,I spent 21 talking to Kinsley on various topics in the early afternoon.,I spent 21 talking to Kinsley on various topics in the early afternoon.\n38823,2021/06/28,\"I talked to Piper, Rylee, Hazel for 7 minutes in the late afternoon.\",\"I talked to Piper, Rylee, Hazel for 7 minutes in the late afternoon.\"\n38824,2021/06/28,\"I spent 26 talking to Nevaeh, Hazel, Claire, Avery on various topics in the early afternoon.\",\"I spent 26 talking to Nevaeh, Hazel, Claire, Avery on various topics in the early afternoon.\"\n38825,2021/06/28,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n38826,2021/06/28,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n38827,2021/06/29,I did biking on 2021/06/29.,I did biking on 2021/06/29.\n38828,2021/06/29,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n38829,2021/06/29,\"I had steak for lunch with Andrew, Emily, Carter\",\"I had steak for lunch with Andrew, Emily, Carter\"\n38830,2021/06/29,I ate steak for dinner.,I ate steak for dinner.\n38831,2021/06/29,\"I spent 7 talking to Layla, Kinsley on various topics in the morning.\",\"I spent 7 talking to Layla, Kinsley on various topics in the morning.\"\n38832,2021/06/29,\"I spent 6 talking to Olivia, Eva on various topics during lunch hours.\",\"I spent 6 talking to Olivia, Eva on various topics during lunch hours.\"\n38833,2021/06/29,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n38834,2021/06/29,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n38835,2021/06/30,\"I bought some apples, clementines, watermelons, mineral water, shampoo, toothpaste, facial wash online.\",\"I bought some apples, clementines, watermelons, mineral water, shampoo, toothpaste, facial wash online.\"\n38836,2021/06/30,I did weight lifting on 2021/06/30.,I did weight lifting on 2021/06/30.\n38837,2021/06/30,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n38838,2021/06/30,\"I had lunch with Carter, Emily, Kayden. I ate tacos.\",\"I had lunch with Carter, Emily, Kayden. I ate tacos.\"\n38839,2021/06/30,I had dinner with Avery. I ate chinese food.,I had dinner with Avery. I ate chinese food.\n38840,2021/06/30,\"I talked to Layla, Olivia for 10 minutes in the early afternoon.\",\"I talked to Layla, Olivia for 10 minutes in the early afternoon.\"\n38841,2021/06/30,\"I spent 33 talking to Layla, Avery, Nora, Rylee on various topics in the late afternoon.\",\"I spent 33 talking to Layla, Avery, Nora, Rylee on various topics in the late afternoon.\"\n38842,2021/06/30,\"I talked to Piper, Nora, Kinsley for 36 minutes in the early afternoon.\",\"I talked to Piper, Nora, Kinsley for 36 minutes in the early afternoon.\"\n38843,2021/06/30,I talked to Claire for 51 minutes late in the evening.,I talked to Claire for 51 minutes late in the evening.\n38844,2021/06/30,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n38845,2021/06/30,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n38846,2021/07/01,I did weight lifting on 2021/07/01.,I did weight lifting on 2021/07/01.\n38847,2021/07/01,\"I had breakfast with Willow, Jackson. I ate cereals.\",\"I had breakfast with Willow, Jackson. I ate cereals.\"\n38848,2021/07/01,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n38849,2021/07/01,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n38850,2021/07/01,\"I talked to Claire, Piper, Kinsley, Hazel for 6 minutes during lunch hours.\",\"I talked to Claire, Piper, Kinsley, Hazel for 6 minutes during lunch hours.\"\n38851,2021/07/01,I spent 28 talking to Kinsley on various topics in the early evening.,I spent 28 talking to Kinsley on various topics in the early evening.\n38852,2021/07/01,\"I talked to Hazel, Piper for 37 minutes in the early afternoon.\",\"I talked to Hazel, Piper for 37 minutes in the early afternoon.\"\n38853,2021/07/01,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n38854,2021/07/01,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n38855,2021/07/02,I really enjoyed learning a language on 2021/07/02,I really enjoyed learning a language on 2021/07/02\n38856,2021/07/02,I did biking on 2021/07/02.,I did biking on 2021/07/02.\n38857,2021/07/02,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n38858,2021/07/02,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n38859,2021/07/02,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n38860,2021/07/02,I spent 5 talking to Olivia on various topics in the late afternoon.,I spent 5 talking to Olivia on various topics in the late afternoon.\n38861,2021/07/02,\"I talked to Nevaeh, Piper, Avery, Eva for 12 minutes late in the evening.\",\"I talked to Nevaeh, Piper, Avery, Eva for 12 minutes late in the evening.\"\n38862,2021/07/02,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n38863,2021/07/02,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n38864,2021/07/03,I went on a date with Christophe on 2021/07/03 at a boba shop,I went on a date with Christophe on 2021/07/03 at a boba shop\n38865,2021/07/03,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n38866,2021/07/03,\"I had steak for lunch with Avery, Benjamin\",\"I had steak for lunch with Avery, Benjamin\"\n38867,2021/07/03,I prepare sushi for dinner.,I prepare sushi for dinner.\n38868,2021/07/03,\"I talked to Hazel, Layla, Olivia, Nora for 41 minutes late in the evening.\",\"I talked to Hazel, Layla, Olivia, Nora for 41 minutes late in the evening.\"\n38869,2021/07/03,\"I talked to Avery, Eva for 49 minutes in the late afternoon.\",\"I talked to Avery, Eva for 49 minutes in the late afternoon.\"\n38870,2021/07/03,\"I talked to Claire, Hazel for 11 minutes late in the evening.\",\"I talked to Claire, Hazel for 11 minutes late in the evening.\"\n38871,2021/07/03,\"I spent 28 talking to Rylee, Eva, Nevaeh on various topics during lunch hours.\",\"I spent 28 talking to Rylee, Eva, Nevaeh on various topics during lunch hours.\"\n38872,2021/07/03,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n38873,2021/07/03,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n38874,2021/07/04,I did HIIT on 2021/07/04.,I did HIIT on 2021/07/04.\n38875,2021/07/04,\"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate cereals.\",\"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate cereals.\"\n38876,2021/07/04,I ate sandwich for lunch.,I ate sandwich for lunch.\n38877,2021/07/04,I had fish and chips for dinner with Kayden,I had fish and chips for dinner with Kayden\n38878,2021/07/04,\"I spent 14 talking to Eva, Claire on various topics in the early evening.\",\"I spent 14 talking to Eva, Claire on various topics in the early evening.\"\n38879,2021/07/04,\"I spent 30 talking to Eva, Claire on various topics in the early afternoon.\",\"I spent 30 talking to Eva, Claire on various topics in the early afternoon.\"\n38880,2021/07/04,I spent 16 talking to Layla on various topics in the late afternoon.,I spent 16 talking to Layla on various topics in the late afternoon.\n38881,2021/07/04,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n38882,2021/07/04,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n38883,2021/07/05,I did swimming on 2021/07/05.,I did swimming on 2021/07/05.\n38884,2021/07/05,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n38885,2021/07/05,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n38886,2021/07/05,I had dinner. I ate steak.,I had dinner. I ate steak.\n38887,2021/07/05,\"I talked to Layla, Piper, Rylee for 43 minutes in the early evening.\",\"I talked to Layla, Piper, Rylee for 43 minutes in the early evening.\"\n38888,2021/07/05,I spent 37 talking to Claire on various topics in the early evening.,I spent 37 talking to Claire on various topics in the early evening.\n38889,2021/07/05,I spent 9 talking to Olivia on various topics in the morning.,I spent 9 talking to Olivia on various topics in the morning.\n38890,2021/07/05,\"I talked to Olivia, Hazel, Avery, Rylee for 39 minutes during lunch hours.\",\"I talked to Olivia, Hazel, Avery, Rylee for 39 minutes during lunch hours.\"\n38891,2021/07/05,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n38892,2021/07/05,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n38893,2021/07/06,\"I bought some oranges, pineapples, strawberries, soda, tea, coffee, milk, body lotion, mouthwash, mouth wash, shampoo online.\",\"I bought some oranges, pineapples, strawberries, soda, tea, coffee, milk, body lotion, mouthwash, mouth wash, shampoo online.\"\n38894,2021/07/06,I did HIIT on 2021/07/06.,I did HIIT on 2021/07/06.\n38895,2021/07/06,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n38896,2021/07/06,I had lunch. I ate steak.,I had lunch. I ate steak.\n38897,2021/07/06,\"I had dinner with Kinsley, Nevaeh. I ate pasta.\",\"I had dinner with Kinsley, Nevaeh. I ate pasta.\"\n38898,2021/07/06,\"I spent 16 talking to Piper, Kinsley on various topics during lunch hours.\",\"I spent 16 talking to Piper, Kinsley on various topics during lunch hours.\"\n38899,2021/07/06,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n38900,2021/07/06,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n38901,2021/07/07,I did running on 2021/07/07.,I did running on 2021/07/07.\n38902,2021/07/07,\"I had oatmeal for breakfast with Eva, Avery, Nora, Lydia, Olivia, Nevaeh, Rylee, Layla, Piper, Hazel\",\"I had oatmeal for breakfast with Eva, Avery, Nora, Lydia, Olivia, Nevaeh, Rylee, Layla, Piper, Hazel\"\n38903,2021/07/07,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n38904,2021/07/07,I had dinner. I ate steak.,I had dinner. I ate steak.\n38905,2021/07/07,\"I spent 23 talking to Lydia, Layla on various topics in the early afternoon.\",\"I spent 23 talking to Lydia, Layla on various topics in the early afternoon.\"\n38906,2021/07/07,I spent 24 talking to Olivia on various topics in the early evening.,I spent 24 talking to Olivia on various topics in the early evening.\n38907,2021/07/07,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n38908,2021/07/07,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n38909,2021/07/08,I did running on 2021/07/08.,I did running on 2021/07/08.\n38910,2021/07/08,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n38911,2021/07/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n38912,2021/07/08,I ate indian food for dinner.,I ate indian food for dinner.\n38913,2021/07/08,\"I spent 53 talking to Nora, Eva on various topics in the late afternoon.\",\"I spent 53 talking to Nora, Eva on various topics in the late afternoon.\"\n38914,2021/07/08,\"I spent 32 talking to Layla, Olivia on various topics in the morning.\",\"I spent 32 talking to Layla, Olivia on various topics in the morning.\"\n38915,2021/07/08,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n38916,2021/07/08,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n38917,2021/07/09,\"I really enjoyed cooking macaroni and cheese, scallion pancake, cream of celery soup recipe on 2021/07/09 with Jackson, Willow at my place\",\"I really enjoyed cooking macaroni and cheese, scallion pancake, cream of celery soup recipe on 2021/07/09 with Jackson, Willow at my place\"\n38918,2021/07/09,\"I went grocery shopping. I bought some apricots, mineral water, chocolate milk, and mouthwash, shampoo\",\"I went grocery shopping. I bought some apricots, mineral water, chocolate milk, and mouthwash, shampoo\"\n38919,2021/07/09,I did hiking on 2021/07/09.,I did hiking on 2021/07/09.\n38920,2021/07/09,\"I had oatmeal for breakfast with Willow, Benjamin, Jackson, Avery\",\"I had oatmeal for breakfast with Willow, Benjamin, Jackson, Avery\"\n38921,2021/07/09,I ate a burger for lunch.,I ate a burger for lunch.\n38922,2021/07/09,\"I had pasta for dinner with Nevaeh, Kinsley, Eva, Piper, Lydia, Olivia, Layla, Avery, Piper\",\"I had pasta for dinner with Nevaeh, Kinsley, Eva, Piper, Lydia, Olivia, Layla, Avery, Piper\"\n38923,2021/07/09,\"I talked to Nora, Avery for 55 minutes late in the evening.\",\"I talked to Nora, Avery for 55 minutes late in the evening.\"\n38924,2021/07/09,\"I spent 22 talking to Rylee, Avery, Piper on various topics late in the evening.\",\"I spent 22 talking to Rylee, Avery, Piper on various topics late in the evening.\"\n38925,2021/07/09,\"I spent 40 talking to Lydia, Nevaeh on various topics during lunch hours.\",\"I spent 40 talking to Lydia, Nevaeh on various topics during lunch hours.\"\n38926,2021/07/09,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n38927,2021/07/09,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n38928,2021/07/10,I spent time working out on 2021/07/10 with Avery.,I spent time working out on 2021/07/10 with Avery.\n38929,2021/07/10,I did swimming on 2021/07/10.,I did swimming on 2021/07/10.\n38930,2021/07/10,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n38931,2021/07/10,I had fish and chips for lunch with Carter,I had fish and chips for lunch with Carter\n38932,2021/07/10,I ate steak for dinner.,I ate steak for dinner.\n38933,2021/07/10,\"I talked to Avery, Claire, Olivia, Rylee for 53 minutes in the early evening.\",\"I talked to Avery, Claire, Olivia, Rylee for 53 minutes in the early evening.\"\n38934,2021/07/10,\"I spent 22 talking to Nevaeh, Lydia, Kinsley on various topics in the morning.\",\"I spent 22 talking to Nevaeh, Lydia, Kinsley on various topics in the morning.\"\n38935,2021/07/10,\"I spent 54 talking to Rylee, Nevaeh, Olivia, Kinsley on various topics late in the evening.\",\"I spent 54 talking to Rylee, Nevaeh, Olivia, Kinsley on various topics late in the evening.\"\n38936,2021/07/10,\"I talked to Olivia, Avery for 14 minutes during lunch hours.\",\"I talked to Olivia, Avery for 14 minutes during lunch hours.\"\n38937,2021/07/10,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n38938,2021/07/10,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n38939,2021/07/11,I did swimming on 2021/07/11.,I did swimming on 2021/07/11.\n38940,2021/07/11,\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate eggs, sausages, and bread.\"\n38941,2021/07/11,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n38942,2021/07/11,I had dinner with Carter. I ate sandwich.,I had dinner with Carter. I ate sandwich.\n38943,2021/07/11,\"I talked to Avery, Piper, Kinsley for 45 minutes in the morning.\",\"I talked to Avery, Piper, Kinsley for 45 minutes in the morning.\"\n38944,2021/07/11,\"I talked to Hazel, Eva, Avery for 35 minutes in the early evening.\",\"I talked to Hazel, Eva, Avery for 35 minutes in the early evening.\"\n38945,2021/07/11,I talked to Claire for 27 minutes late in the evening.,I talked to Claire for 27 minutes late in the evening.\n38946,2021/07/11,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n38947,2021/07/11,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n38948,2021/07/12,I did hiking on 2021/07/12.,I did hiking on 2021/07/12.\n38949,2021/07/12,I had toast and cheese for breakfast with Emily,I had toast and cheese for breakfast with Emily\n38950,2021/07/12,I had a burger for lunch with Carter,I had a burger for lunch with Carter\n38951,2021/07/12,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n38952,2021/07/12,I spent 27 talking to Piper on various topics during lunch hours.,I spent 27 talking to Piper on various topics during lunch hours.\n38953,2021/07/12,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n38954,2021/07/12,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n38955,2021/07/13,I spent some time working out on 2021/07/13.,I spent some time working out on 2021/07/13.\n38956,2021/07/13,I did biking on 2021/07/13.,I did biking on 2021/07/13.\n38957,2021/07/13,\"I had toast and cheese for breakfast with Eva, Piper, Lydia, Rylee, Olivia, Kinsley, Claire, Hazel, Nora, Layla, Piper\",\"I had toast and cheese for breakfast with Eva, Piper, Lydia, Rylee, Olivia, Kinsley, Claire, Hazel, Nora, Layla, Piper\"\n38958,2021/07/13,\"I had lunch with Carter, Andrew, Emily. I ate sandwich.\",\"I had lunch with Carter, Andrew, Emily. I ate sandwich.\"\n38959,2021/07/13,I prepare pasta for dinner.,I prepare pasta for dinner.\n38960,2021/07/13,I spent 36 talking to Avery on various topics in the early afternoon.,I spent 36 talking to Avery on various topics in the early afternoon.\n38961,2021/07/13,I spent 6 talking to Avery on various topics during lunch hours.,I spent 6 talking to Avery on various topics during lunch hours.\n38962,2021/07/13,\"I talked to Kinsley, Nevaeh, Nora, Layla for 34 minutes in the late afternoon.\",\"I talked to Kinsley, Nevaeh, Nora, Layla for 34 minutes in the late afternoon.\"\n38963,2021/07/13,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n38964,2021/07/13,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n38965,2021/07/14,\"I was cooking ground turkey vegetable soup on 2021/07/14 with Carter, Kayden at my place\",\"I was cooking ground turkey vegetable soup on 2021/07/14 with Carter, Kayden at my place\"\n38966,2021/07/14,\"I bought some watermelons, tea, sports drinks, mouthwash, toothpaste from the grocery store. I saw Kayden, Carter, Emily, Andrew at the grocery store.\",\"I bought some watermelons, tea, sports drinks, mouthwash, toothpaste from the grocery store. I saw Kayden, Carter, Emily, Andrew at the grocery store.\"\n38967,2021/07/14,I did hiking on 2021/07/14.,I did hiking on 2021/07/14.\n38968,2021/07/14,\"I had oatmeal for breakfast with Andrew, Kayden, Carter, Emily\",\"I had oatmeal for breakfast with Andrew, Kayden, Carter, Emily\"\n38969,2021/07/14,I prepare sushi for lunch.,I prepare sushi for lunch.\n38970,2021/07/14,\"I had pasta for dinner with Emily, Carter, Kayden\",\"I had pasta for dinner with Emily, Carter, Kayden\"\n38971,2021/07/14,\"I talked to Avery, Nevaeh for 24 minutes in the late afternoon.\",\"I talked to Avery, Nevaeh for 24 minutes in the late afternoon.\"\n38972,2021/07/14,\"I talked to Rylee, Claire for 24 minutes in the morning.\",\"I talked to Rylee, Claire for 24 minutes in the morning.\"\n38973,2021/07/14,\"I spent 22 talking to Layla, Rylee on various topics late in the evening.\",\"I spent 22 talking to Layla, Rylee on various topics late in the evening.\"\n38974,2021/07/14,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n38975,2021/07/14,I watched a movie for 12 minutes on TV today.,I watched a movie for 12 minutes on TV today.\n38976,2021/07/15,I did HIIT on 2021/07/15.,I did HIIT on 2021/07/15.\n38977,2021/07/15,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n38978,2021/07/15,\"I had steak for lunch with Kinsley, Olivia, Eva, Avery, Rylee, Hazel, Lydia, Claire, Piper, Piper\",\"I had steak for lunch with Kinsley, Olivia, Eva, Avery, Rylee, Hazel, Lydia, Claire, Piper, Piper\"\n38979,2021/07/15,\"I had sushi for dinner with Carter, Emily\",\"I had sushi for dinner with Carter, Emily\"\n38980,2021/07/15,\"I talked to Piper, Hazel for 39 minutes during lunch hours.\",\"I talked to Piper, Hazel for 39 minutes during lunch hours.\"\n38981,2021/07/15,\"I spent 7 talking to Rylee, Layla on various topics in the late afternoon.\",\"I spent 7 talking to Rylee, Layla on various topics in the late afternoon.\"\n38982,2021/07/15,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n38983,2021/07/15,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n38984,2021/07/16,I took Emily for his/her  for an annual dental cleaning and checkup on 2021/07/16 at the university hospital.,I took Emily for his/her  for an annual dental cleaning and checkup on 2021/07/16 at the university hospital.\n38985,2021/07/16,\"I went grocery shopping. I bought some clementines, tea, soda, and toilet paper\",\"I went grocery shopping. I bought some clementines, tea, soda, and toilet paper\"\n38986,2021/07/16,I did hiking on 2021/07/16.,I did hiking on 2021/07/16.\n38987,2021/07/16,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n38988,2021/07/16,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n38989,2021/07/16,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n38990,2021/07/16,\"I spent 8 talking to Olivia, Rylee, Kinsley on various topics late in the evening.\",\"I spent 8 talking to Olivia, Rylee, Kinsley on various topics late in the evening.\"\n38991,2021/07/16,I spent 20 talking to Lydia on various topics during lunch hours.,I spent 20 talking to Lydia on various topics during lunch hours.\n38992,2021/07/16,I spent 31 talking to Claire on various topics in the late afternoon.,I spent 31 talking to Claire on various topics in the late afternoon.\n38993,2021/07/16,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n38994,2021/07/16,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n38995,2021/07/17,\"I spent time working out on 2021/07/17 with Piper, Kinsley.\",\"I spent time working out on 2021/07/17 with Piper, Kinsley.\"\n38996,2021/07/17,I did running on 2021/07/17.,I did running on 2021/07/17.\n38997,2021/07/17,\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin\",\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin\"\n38998,2021/07/17,I prepare indian food for lunch.,I prepare indian food for lunch.\n38999,2021/07/17,I ate chinese food for dinner.,I ate chinese food for dinner.\n39000,2021/07/17,\"I spent 6 talking to Nora, Olivia, Nevaeh, Rylee on various topics in the late afternoon.\",\"I spent 6 talking to Nora, Olivia, Nevaeh, Rylee on various topics in the late afternoon.\"\n39001,2021/07/17,\"I spent 13 talking to Olivia, Rylee on various topics in the early evening.\",\"I spent 13 talking to Olivia, Rylee on various topics in the early evening.\"\n39002,2021/07/17,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n39003,2021/07/17,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n39004,2021/07/18,I did swimming on 2021/07/18.,I did swimming on 2021/07/18.\n39005,2021/07/18,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n39006,2021/07/18,\"I had indian food for lunch with Kayden, Carter\",\"I had indian food for lunch with Kayden, Carter\"\n39007,2021/07/18,\"I had dinner with Layla, Eva, Kinsley, Hazel, Avery, Claire. I ate sushi.\",\"I had dinner with Layla, Eva, Kinsley, Hazel, Avery, Claire. I ate sushi.\"\n39008,2021/07/18,\"I spent 25 talking to Claire, Nora, Piper, Hazel on various topics in the early evening.\",\"I spent 25 talking to Claire, Nora, Piper, Hazel on various topics in the early evening.\"\n39009,2021/07/18,\"I talked to Nevaeh, Claire, Piper, Avery for 50 minutes in the early evening.\",\"I talked to Nevaeh, Claire, Piper, Avery for 50 minutes in the early evening.\"\n39010,2021/07/18,I talked to Nevaeh for 11 minutes in the morning.,I talked to Nevaeh for 11 minutes in the morning.\n39011,2021/07/18,I talked to Eva for 33 minutes late in the evening.,I talked to Eva for 33 minutes late in the evening.\n39012,2021/07/18,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n39013,2021/07/18,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n39014,2021/07/19,I did biking on 2021/07/19.,I did biking on 2021/07/19.\n39015,2021/07/19,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n39016,2021/07/19,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n39017,2021/07/19,\"I had fish and chips for dinner with Kayden, Emily\",\"I had fish and chips for dinner with Kayden, Emily\"\n39018,2021/07/19,\"I spent 35 talking to Eva, Avery on various topics in the early afternoon.\",\"I spent 35 talking to Eva, Avery on various topics in the early afternoon.\"\n39019,2021/07/19,\"I talked to Lydia, Olivia, Layla for 25 minutes in the late afternoon.\",\"I talked to Lydia, Olivia, Layla for 25 minutes in the late afternoon.\"\n39020,2021/07/19,\"I talked to Layla, Lydia, Claire, Hazel for 10 minutes in the morning.\",\"I talked to Layla, Lydia, Claire, Hazel for 10 minutes in the morning.\"\n39021,2021/07/19,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n39022,2021/07/19,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n39023,2021/07/20,\"I bought some clementines, tea, chocolate milk, milk, guava juice, shaving cream, toothbrush from the grocery store. I saw Kayden, Andrew, Emily, Carter at the grocery store.\",\"I bought some clementines, tea, chocolate milk, milk, guava juice, shaving cream, toothbrush from the grocery store. I saw Kayden, Andrew, Emily, Carter at the grocery store.\"\n39024,2021/07/20,I did HIIT on 2021/07/20.,I did HIIT on 2021/07/20.\n39025,2021/07/20,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n39026,2021/07/20,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n39027,2021/07/20,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n39028,2021/07/20,\"I talked to Nora, Claire, Piper, Kinsley for 25 minutes late in the evening.\",\"I talked to Nora, Claire, Piper, Kinsley for 25 minutes late in the evening.\"\n39029,2021/07/20,I spent 48 talking to Piper on various topics in the morning.,I spent 48 talking to Piper on various topics in the morning.\n39030,2021/07/20,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n39031,2021/07/20,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n39032,2021/07/21,I did biking on 2021/07/21.,I did biking on 2021/07/21.\n39033,2021/07/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n39034,2021/07/21,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n39035,2021/07/21,I had dinner with Jackson. I ate sandwich.,I had dinner with Jackson. I ate sandwich.\n39036,2021/07/21,I spent 5 talking to Claire on various topics in the early afternoon.,I spent 5 talking to Claire on various topics in the early afternoon.\n39037,2021/07/21,\"I talked to Eva, Kinsley for 7 minutes during lunch hours.\",\"I talked to Eva, Kinsley for 7 minutes during lunch hours.\"\n39038,2021/07/21,\"I spent 48 talking to Hazel, Claire, Piper, Layla on various topics late in the evening.\",\"I spent 48 talking to Hazel, Claire, Piper, Layla on various topics late in the evening.\"\n39039,2021/07/21,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n39040,2021/07/21,I spent 29 minutes watching a movie on TV today.,I spent 29 minutes watching a movie on TV today.\n39041,2021/07/22,I did HIIT on 2021/07/22.,I did HIIT on 2021/07/22.\n39042,2021/07/22,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n39043,2021/07/22,I ate sushi for lunch.,I ate sushi for lunch.\n39044,2021/07/22,\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\",\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\"\n39045,2021/07/22,\"I talked to Claire, Lydia, Rylee for 17 minutes in the morning.\",\"I talked to Claire, Lydia, Rylee for 17 minutes in the morning.\"\n39046,2021/07/22,\"I spent 30 talking to Layla, Hazel on various topics during lunch hours.\",\"I spent 30 talking to Layla, Hazel on various topics during lunch hours.\"\n39047,2021/07/22,I talked to Nora for 7 minutes in the early evening.,I talked to Nora for 7 minutes in the early evening.\n39048,2021/07/22,\"I talked to Layla, Rylee, Claire, Nevaeh for 17 minutes in the late afternoon.\",\"I talked to Layla, Rylee, Claire, Nevaeh for 17 minutes in the late afternoon.\"\n39049,2021/07/22,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n39050,2021/07/22,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n39051,2021/07/23,I did biking on 2021/07/23.,I did biking on 2021/07/23.\n39052,2021/07/23,\"I had breakfast with Piper, Layla, Olivia. I ate toast and cheese.\",\"I had breakfast with Piper, Layla, Olivia. I ate toast and cheese.\"\n39053,2021/07/23,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n39054,2021/07/23,\"I had indian food for dinner with Nevaeh, Eva, Olivia, Claire, Hazel\",\"I had indian food for dinner with Nevaeh, Eva, Olivia, Claire, Hazel\"\n39055,2021/07/23,\"I talked to Piper, Avery, Piper, Eva for 24 minutes in the morning.\",\"I talked to Piper, Avery, Piper, Eva for 24 minutes in the morning.\"\n39056,2021/07/23,I spent 26 talking to Nevaeh on various topics in the early afternoon.,I spent 26 talking to Nevaeh on various topics in the early afternoon.\n39057,2021/07/23,\"I talked to Nevaeh, Avery, Claire for 48 minutes during lunch hours.\",\"I talked to Nevaeh, Avery, Claire for 48 minutes during lunch hours.\"\n39058,2021/07/23,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n39059,2021/07/23,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n39060,2021/07/24,I really enjoyed meditation on 2021/07/24,I really enjoyed meditation on 2021/07/24\n39061,2021/07/24,\"I went grocery shopping with Andrew, Kayden, Emily, Carter. I bought some mangos, raspberries, orange juice, coffee, and shaving cream\",\"I went grocery shopping with Andrew, Kayden, Emily, Carter. I bought some mangos, raspberries, orange juice, coffee, and shaving cream\"\n39062,2021/07/24,I did running on 2021/07/24.,I did running on 2021/07/24.\n39063,2021/07/24,I had breakfast with Benjamin. I ate peanut-butter-jam.,I had breakfast with Benjamin. I ate peanut-butter-jam.\n39064,2021/07/24,I had fish and chips for lunch with Hazel,I had fish and chips for lunch with Hazel\n39065,2021/07/24,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n39066,2021/07/24,\"I talked to Olivia, Piper for 17 minutes late in the evening.\",\"I talked to Olivia, Piper for 17 minutes late in the evening.\"\n39067,2021/07/24,\"I spent 42 talking to Nevaeh, Layla on various topics late in the evening.\",\"I spent 42 talking to Nevaeh, Layla on various topics late in the evening.\"\n39068,2021/07/24,\"I talked to Avery, Piper, Hazel for 16 minutes in the early afternoon.\",\"I talked to Avery, Piper, Hazel for 16 minutes in the early afternoon.\"\n39069,2021/07/24,\"I spent 52 talking to Olivia, Layla, Eva on various topics in the early afternoon.\",\"I spent 52 talking to Olivia, Layla, Eva on various topics in the early afternoon.\"\n39070,2021/07/24,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n39071,2021/07/24,I watched news for 13 minutes on TV today.,I watched news for 13 minutes on TV today.\n39072,2021/07/25,\"I had oatmeal for breakfast with Piper, Layla\",\"I had oatmeal for breakfast with Piper, Layla\"\n39073,2021/07/25,\"I had steak for lunch with Avery, Layla, Nevaeh, Piper, Olivia, Nora, Kinsley, Eva\",\"I had steak for lunch with Avery, Layla, Nevaeh, Piper, Olivia, Nora, Kinsley, Eva\"\n39074,2021/07/25,\"I had dinner with Claire, Layla, Rylee, Hazel, Kinsley, Avery, Nevaeh, Piper, Nora, Lydia, Piper, Olivia. I ate steak.\",\"I had dinner with Claire, Layla, Rylee, Hazel, Kinsley, Avery, Nevaeh, Piper, Nora, Lydia, Piper, Olivia. I ate steak.\"\n39075,2021/07/25,\"I spent 25 talking to Rylee, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 25 talking to Rylee, Nevaeh, Piper on various topics in the early afternoon.\"\n39076,2021/07/25,I talked to Olivia for 18 minutes in the morning.,I talked to Olivia for 18 minutes in the morning.\n39077,2021/07/25,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n39078,2021/07/25,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n39079,2021/07/26,I took Kayden for his/her  for an annual physical checkup on 2021/07/26 at the university hospital.,I took Kayden for his/her  for an annual physical checkup on 2021/07/26 at the university hospital.\n39080,2021/07/26,I did running on 2021/07/26.,I did running on 2021/07/26.\n39081,2021/07/26,\"I had breakfast with Carter, Kayden, Emily. I ate cereals.\",\"I had breakfast with Carter, Kayden, Emily. I ate cereals.\"\n39082,2021/07/26,\"I had pasta for lunch with Avery, Hazel, Nevaeh, Eva, Layla\",\"I had pasta for lunch with Avery, Hazel, Nevaeh, Eva, Layla\"\n39083,2021/07/26,\"I had sandwich for dinner with Nevaeh, Olivia, Layla, Avery, Hazel, Rylee, Eva, Piper, Kinsley, Claire\",\"I had sandwich for dinner with Nevaeh, Olivia, Layla, Avery, Hazel, Rylee, Eva, Piper, Kinsley, Claire\"\n39084,2021/07/26,\"I spent 15 talking to Piper, Nora, Avery, Lydia on various topics in the early evening.\",\"I spent 15 talking to Piper, Nora, Avery, Lydia on various topics in the early evening.\"\n39085,2021/07/26,\"I spent 46 talking to Eva, Claire, Lydia, Avery on various topics in the morning.\",\"I spent 46 talking to Eva, Claire, Lydia, Avery on various topics in the morning.\"\n39086,2021/07/26,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n39087,2021/07/26,I spent 29 minutes watching news on TV today.,I spent 29 minutes watching news on TV today.\n39088,2021/07/27,I did weight lifting on 2021/07/27.,I did weight lifting on 2021/07/27.\n39089,2021/07/27,\"I had pancakes for breakfast with Willow, Jackson, Benjamin, Avery\",\"I had pancakes for breakfast with Willow, Jackson, Benjamin, Avery\"\n39090,2021/07/27,\"I had tacos for lunch with Andrew, Carter\",\"I had tacos for lunch with Andrew, Carter\"\n39091,2021/07/27,I had dinner with Carter. I ate pasta.,I had dinner with Carter. I ate pasta.\n39092,2021/07/27,\"I talked to Hazel, Lydia, Eva, Nevaeh for 38 minutes in the early evening.\",\"I talked to Hazel, Lydia, Eva, Nevaeh for 38 minutes in the early evening.\"\n39093,2021/07/27,I spent 30 talking to Piper on various topics during lunch hours.,I spent 30 talking to Piper on various topics during lunch hours.\n39094,2021/07/27,\"I spent 18 talking to Eva, Nevaeh, Claire, Piper on various topics during lunch hours.\",\"I spent 18 talking to Eva, Nevaeh, Claire, Piper on various topics during lunch hours.\"\n39095,2021/07/27,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n39096,2021/07/27,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n39097,2021/07/28,\"On 2021/07/28, I took Sophie on a date to a boba shop\",\"On 2021/07/28, I took Sophie on a date to a boba shop\"\n39098,2021/07/28,I did swimming on 2021/07/28.,I did swimming on 2021/07/28.\n39099,2021/07/28,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n39100,2021/07/28,\"I had lunch with Jackson, Avery. I ate pasta.\",\"I had lunch with Jackson, Avery. I ate pasta.\"\n39101,2021/07/28,\"I had dinner with Kayden, Andrew, Emily. I ate a burger.\",\"I had dinner with Kayden, Andrew, Emily. I ate a burger.\"\n39102,2021/07/28,I spent 25 talking to Eva on various topics during lunch hours.,I spent 25 talking to Eva on various topics during lunch hours.\n39103,2021/07/28,\"I talked to Olivia, Piper for 38 minutes in the morning.\",\"I talked to Olivia, Piper for 38 minutes in the morning.\"\n39104,2021/07/28,\"I talked to Layla, Lydia for 8 minutes during lunch hours.\",\"I talked to Layla, Lydia for 8 minutes during lunch hours.\"\n39105,2021/07/28,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n39106,2021/07/28,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n39107,2021/07/29,I did biking on 2021/07/29.,I did biking on 2021/07/29.\n39108,2021/07/29,\"I had breakfast with Jackson, Willow, Avery, Benjamin. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Willow, Avery, Benjamin. I ate eggs, sausages, and bread.\"\n39109,2021/07/29,I had lunch with Carter. I ate sandwich.,I had lunch with Carter. I ate sandwich.\n39110,2021/07/29,\"I had steak for dinner with Kayden, Emily, Carter, Andrew\",\"I had steak for dinner with Kayden, Emily, Carter, Andrew\"\n39111,2021/07/29,\"I talked to Avery, Nora for 34 minutes late in the evening.\",\"I talked to Avery, Nora for 34 minutes late in the evening.\"\n39112,2021/07/29,I talked to Rylee for 47 minutes in the late afternoon.,I talked to Rylee for 47 minutes in the late afternoon.\n39113,2021/07/29,\"I talked to Lydia, Olivia for 16 minutes late in the evening.\",\"I talked to Lydia, Olivia for 16 minutes late in the evening.\"\n39114,2021/07/29,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n39115,2021/07/29,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n39116,2021/07/30,I did hiking on 2021/07/30.,I did hiking on 2021/07/30.\n39117,2021/07/30,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n39118,2021/07/30,\"I had lunch with Willow, Benjamin, Jackson. I ate fish and chips.\",\"I had lunch with Willow, Benjamin, Jackson. I ate fish and chips.\"\n39119,2021/07/30,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n39120,2021/07/30,I spent 21 talking to Nevaeh on various topics in the late afternoon.,I spent 21 talking to Nevaeh on various topics in the late afternoon.\n39121,2021/07/30,\"I talked to Lydia, Eva, Claire for 47 minutes in the morning.\",\"I talked to Lydia, Eva, Claire for 47 minutes in the morning.\"\n39122,2021/07/30,\"I talked to Olivia, Hazel, Rylee, Avery for 16 minutes in the late afternoon.\",\"I talked to Olivia, Hazel, Rylee, Avery for 16 minutes in the late afternoon.\"\n39123,2021/07/30,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n39124,2021/07/30,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n39125,2021/07/31,\"I bought some apples, coffee, sports drinks, mango juice, pineapple juice, mouthwash, toilet paper, body lotion from the grocery store. I saw Claire, Piper, Avery, Eva, Piper at the grocery store.\",\"I bought some apples, coffee, sports drinks, mango juice, pineapple juice, mouthwash, toilet paper, body lotion from the grocery store. I saw Claire, Piper, Avery, Eva, Piper at the grocery store.\"\n39126,2021/07/31,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n39127,2021/07/31,\"I had fish and chips for lunch with Benjamin, Willow, Jackson\",\"I had fish and chips for lunch with Benjamin, Willow, Jackson\"\n39128,2021/07/31,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n39129,2021/07/31,\"I talked to Eva, Nora, Lydia, Olivia for 33 minutes in the late afternoon.\",\"I talked to Eva, Nora, Lydia, Olivia for 33 minutes in the late afternoon.\"\n39130,2021/07/31,I talked to Eva for 12 minutes late in the evening.,I talked to Eva for 12 minutes late in the evening.\n39131,2021/07/31,I talked to Layla for 53 minutes during lunch hours.,I talked to Layla for 53 minutes during lunch hours.\n39132,2021/07/31,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n39133,2021/07/31,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n39134,2021/08/01,I did weight lifting on 2021/08/01.,I did weight lifting on 2021/08/01.\n39135,2021/08/01,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n39136,2021/08/01,I ate sushi for lunch.,I ate sushi for lunch.\n39137,2021/08/01,I ate tacos for dinner.,I ate tacos for dinner.\n39138,2021/08/01,\"I talked to Claire, Rylee for 10 minutes in the late afternoon.\",\"I talked to Claire, Rylee for 10 minutes in the late afternoon.\"\n39139,2021/08/01,\"I spent 27 talking to Nora, Hazel on various topics in the early evening.\",\"I spent 27 talking to Nora, Hazel on various topics in the early evening.\"\n39140,2021/08/01,\"I spent 20 talking to Avery, Eva, Layla on various topics in the morning.\",\"I spent 20 talking to Avery, Eva, Layla on various topics in the morning.\"\n39141,2021/08/01,I talked to Nora for 30 minutes in the early evening.,I talked to Nora for 30 minutes in the early evening.\n39142,2021/08/01,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n39143,2021/08/01,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n39144,2021/08/02,I did hiking on 2021/08/02.,I did hiking on 2021/08/02.\n39145,2021/08/02,I had breakfast with Benjamin. I ate pancakes.,I had breakfast with Benjamin. I ate pancakes.\n39146,2021/08/02,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n39147,2021/08/02,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n39148,2021/08/02,\"I spent 41 talking to Piper, Layla, Eva, Nora on various topics in the early afternoon.\",\"I spent 41 talking to Piper, Layla, Eva, Nora on various topics in the early afternoon.\"\n39149,2021/08/02,\"I spent 23 talking to Olivia, Hazel on various topics in the early evening.\",\"I spent 23 talking to Olivia, Hazel on various topics in the early evening.\"\n39150,2021/08/02,I spent 52 talking to Avery on various topics in the early evening.,I spent 52 talking to Avery on various topics in the early evening.\n39151,2021/08/02,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n39152,2021/08/02,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n39153,2021/08/03,I went for an annual dental cleaning and checkup on 2021/08/03 at the hospital.,I went for an annual dental cleaning and checkup on 2021/08/03 at the hospital.\n39154,2021/08/03,I went on a date with Isaac on 2021/08/03 at a boba shop,I went on a date with Isaac on 2021/08/03 at a boba shop\n39155,2021/08/03,\"I went grocery shopping. I bought some watermelons, mandarins, guava juice, tea, soda, and mouth wash\",\"I went grocery shopping. I bought some watermelons, mandarins, guava juice, tea, soda, and mouth wash\"\n39156,2021/08/03,I did swimming on 2021/08/03.,I did swimming on 2021/08/03.\n39157,2021/08/03,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n39158,2021/08/03,I ate steak for lunch.,I ate steak for lunch.\n39159,2021/08/03,I prepare tacos for dinner.,I prepare tacos for dinner.\n39160,2021/08/03,\"I talked to Kinsley, Lydia, Nevaeh, Claire for 12 minutes in the late afternoon.\",\"I talked to Kinsley, Lydia, Nevaeh, Claire for 12 minutes in the late afternoon.\"\n39161,2021/08/03,\"I talked to Claire, Nevaeh for 42 minutes in the morning.\",\"I talked to Claire, Nevaeh for 42 minutes in the morning.\"\n39162,2021/08/03,I spent 37 talking to Nevaeh on various topics late in the evening.,I spent 37 talking to Nevaeh on various topics late in the evening.\n39163,2021/08/03,I spent 24 talking to Nora on various topics in the early afternoon.,I spent 24 talking to Nora on various topics in the early afternoon.\n39164,2021/08/03,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n39165,2021/08/03,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n39166,2021/08/04,I did hiking on 2021/08/04.,I did hiking on 2021/08/04.\n39167,2021/08/04,I ate cereals for breakfast.,I ate cereals for breakfast.\n39168,2021/08/04,\"I had indian food for lunch with Kayden, Emily, Andrew, Carter\",\"I had indian food for lunch with Kayden, Emily, Andrew, Carter\"\n39169,2021/08/04,\"I had dinner with Hazel, Claire, Lydia, Nevaeh, Piper, Kinsley, Rylee, Nora, Avery, Olivia, Piper. I ate chinese food.\",\"I had dinner with Hazel, Claire, Lydia, Nevaeh, Piper, Kinsley, Rylee, Nora, Avery, Olivia, Piper. I ate chinese food.\"\n39170,2021/08/04,\"I spent 39 talking to Rylee, Avery, Nevaeh, Hazel on various topics in the late afternoon.\",\"I spent 39 talking to Rylee, Avery, Nevaeh, Hazel on various topics in the late afternoon.\"\n39171,2021/08/04,I spent 49 talking to Eva on various topics in the early evening.,I spent 49 talking to Eva on various topics in the early evening.\n39172,2021/08/04,\"I spent 37 talking to Nevaeh, Nora, Rylee, Piper on various topics in the early afternoon.\",\"I spent 37 talking to Nevaeh, Nora, Rylee, Piper on various topics in the early afternoon.\"\n39173,2021/08/04,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n39174,2021/08/04,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n39175,2021/08/05,I did HIIT on 2021/08/05.,I did HIIT on 2021/08/05.\n39176,2021/08/05,\"I had pancakes for breakfast with Andrew, Carter, Emily\",\"I had pancakes for breakfast with Andrew, Carter, Emily\"\n39177,2021/08/05,I had lunch with Andrew. I ate fish and chips.,I had lunch with Andrew. I ate fish and chips.\n39178,2021/08/05,\"I had fish and chips for dinner with Andrew, Emily\",\"I had fish and chips for dinner with Andrew, Emily\"\n39179,2021/08/05,\"I spent 31 talking to Piper, Lydia, Hazel on various topics in the early evening.\",\"I spent 31 talking to Piper, Lydia, Hazel on various topics in the early evening.\"\n39180,2021/08/05,\"I talked to Rylee, Kinsley, Nevaeh for 11 minutes late in the evening.\",\"I talked to Rylee, Kinsley, Nevaeh for 11 minutes late in the evening.\"\n39181,2021/08/05,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n39182,2021/08/05,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n39183,2021/08/06,I did weight lifting on 2021/08/06.,I did weight lifting on 2021/08/06.\n39184,2021/08/06,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n39185,2021/08/06,I prepare indian food for lunch.,I prepare indian food for lunch.\n39186,2021/08/06,\"I had dinner with Layla, Nora. I ate tacos.\",\"I had dinner with Layla, Nora. I ate tacos.\"\n39187,2021/08/06,\"I spent 24 talking to Nevaeh, Olivia on various topics in the morning.\",\"I spent 24 talking to Nevaeh, Olivia on various topics in the morning.\"\n39188,2021/08/06,I spent 47 talking to Claire on various topics in the late afternoon.,I spent 47 talking to Claire on various topics in the late afternoon.\n39189,2021/08/06,I talked to Piper for 20 minutes in the early afternoon.,I talked to Piper for 20 minutes in the early afternoon.\n39190,2021/08/06,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n39191,2021/08/06,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n39192,2021/08/07,I did biking on 2021/08/07.,I did biking on 2021/08/07.\n39193,2021/08/07,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n39194,2021/08/07,\"I had a burger for lunch with Nora, Rylee, Piper\",\"I had a burger for lunch with Nora, Rylee, Piper\"\n39195,2021/08/07,I ate sushi for dinner.,I ate sushi for dinner.\n39196,2021/08/07,\"I talked to Nora, Rylee, Kinsley for 34 minutes in the morning.\",\"I talked to Nora, Rylee, Kinsley for 34 minutes in the morning.\"\n39197,2021/08/07,\"I spent 39 talking to Rylee, Hazel, Piper, Lydia on various topics in the early evening.\",\"I spent 39 talking to Rylee, Hazel, Piper, Lydia on various topics in the early evening.\"\n39198,2021/08/07,\"I talked to Hazel, Avery, Layla for 25 minutes in the early afternoon.\",\"I talked to Hazel, Avery, Layla for 25 minutes in the early afternoon.\"\n39199,2021/08/07,\"I talked to Rylee, Kinsley for 28 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley for 28 minutes in the early afternoon.\"\n39200,2021/08/07,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n39201,2021/08/07,I spent 38 minutes watching a tv series on TV today.,I spent 38 minutes watching a tv series on TV today.\n39202,2021/08/08,I did swimming on 2021/08/08.,I did swimming on 2021/08/08.\n39203,2021/08/08,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n39204,2021/08/08,\"I had lunch with Kayden, Andrew. I ate tacos.\",\"I had lunch with Kayden, Andrew. I ate tacos.\"\n39205,2021/08/08,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n39206,2021/08/08,\"I spent 22 talking to Nevaeh, Layla, Kinsley, Nora on various topics late in the evening.\",\"I spent 22 talking to Nevaeh, Layla, Kinsley, Nora on various topics late in the evening.\"\n39207,2021/08/08,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n39208,2021/08/08,I spent 30 minutes watching a tv series on TV today.,I spent 30 minutes watching a tv series on TV today.\n39209,2021/08/09,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n39210,2021/08/09,\"I had chinese food for lunch with Carter, Emily\",\"I had chinese food for lunch with Carter, Emily\"\n39211,2021/08/09,I prepare indian food for dinner.,I prepare indian food for dinner.\n39212,2021/08/09,\"I talked to Olivia, Lydia, Eva for 30 minutes during lunch hours.\",\"I talked to Olivia, Lydia, Eva for 30 minutes during lunch hours.\"\n39213,2021/08/09,\"I spent 53 talking to Eva, Rylee, Claire, Nevaeh on various topics late in the evening.\",\"I spent 53 talking to Eva, Rylee, Claire, Nevaeh on various topics late in the evening.\"\n39214,2021/08/09,\"I talked to Piper, Rylee for 34 minutes during lunch hours.\",\"I talked to Piper, Rylee for 34 minutes during lunch hours.\"\n39215,2021/08/09,\"I spent 9 talking to Piper, Eva on various topics in the early afternoon.\",\"I spent 9 talking to Piper, Eva on various topics in the early afternoon.\"\n39216,2021/08/09,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n39217,2021/08/09,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n39218,2021/08/10,\"On 2021/08/10, I took Adam on a date to a restaurant\",\"On 2021/08/10, I took Adam on a date to a restaurant\"\n39219,2021/08/10,I did biking on 2021/08/10.,I did biking on 2021/08/10.\n39220,2021/08/10,\"I had cereals for breakfast with Kayden, Andrew, Emily\",\"I had cereals for breakfast with Kayden, Andrew, Emily\"\n39221,2021/08/10,\"I had sandwich for lunch with Avery, Willow, Jackson\",\"I had sandwich for lunch with Avery, Willow, Jackson\"\n39222,2021/08/10,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n39223,2021/08/10,\"I spent 20 talking to Kinsley, Lydia, Olivia, Piper on various topics in the early afternoon.\",\"I spent 20 talking to Kinsley, Lydia, Olivia, Piper on various topics in the early afternoon.\"\n39224,2021/08/10,\"I spent 14 talking to Kinsley, Piper on various topics in the early evening.\",\"I spent 14 talking to Kinsley, Piper on various topics in the early evening.\"\n39225,2021/08/10,\"I spent 20 talking to Lydia, Claire on various topics in the early evening.\",\"I spent 20 talking to Lydia, Claire on various topics in the early evening.\"\n39226,2021/08/10,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n39227,2021/08/10,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n39228,2021/08/11,\"I went grocery shopping. I bought some blackberries, oranges, mandarins, mangos, milk, and shampoo, toothbrush, mouthwash, body lotion\",\"I went grocery shopping. I bought some blackberries, oranges, mandarins, mangos, milk, and shampoo, toothbrush, mouthwash, body lotion\"\n39229,2021/08/11,I did hiking on 2021/08/11.,I did hiking on 2021/08/11.\n39230,2021/08/11,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n39231,2021/08/11,I ate pasta for lunch.,I ate pasta for lunch.\n39232,2021/08/11,\"I had dinner with Kinsley, Lydia, Nora, Rylee, Hazel. I ate steak.\",\"I had dinner with Kinsley, Lydia, Nora, Rylee, Hazel. I ate steak.\"\n39233,2021/08/11,\"I spent 43 talking to Piper, Nevaeh, Nora, Lydia on various topics in the late afternoon.\",\"I spent 43 talking to Piper, Nevaeh, Nora, Lydia on various topics in the late afternoon.\"\n39234,2021/08/11,\"I talked to Layla, Hazel for 51 minutes during lunch hours.\",\"I talked to Layla, Hazel for 51 minutes during lunch hours.\"\n39235,2021/08/11,\"I spent 18 talking to Olivia, Nora on various topics in the late afternoon.\",\"I spent 18 talking to Olivia, Nora on various topics in the late afternoon.\"\n39236,2021/08/11,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n39237,2021/08/11,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n39238,2021/08/12,I did weight lifting on 2021/08/12.,I did weight lifting on 2021/08/12.\n39239,2021/08/12,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n39240,2021/08/12,\"I had fish and chips for lunch with Avery, Jackson, Benjamin, Willow\",\"I had fish and chips for lunch with Avery, Jackson, Benjamin, Willow\"\n39241,2021/08/12,I had dinner. I ate steak.,I had dinner. I ate steak.\n39242,2021/08/12,I talked to Piper for 35 minutes during lunch hours.,I talked to Piper for 35 minutes during lunch hours.\n39243,2021/08/12,\"I spent 29 talking to Nora, Nevaeh on various topics during lunch hours.\",\"I spent 29 talking to Nora, Nevaeh on various topics during lunch hours.\"\n39244,2021/08/12,\"I talked to Nora, Piper, Lydia for 20 minutes during lunch hours.\",\"I talked to Nora, Piper, Lydia for 20 minutes during lunch hours.\"\n39245,2021/08/12,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n39246,2021/08/12,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n39247,2021/08/13,I did HIIT on 2021/08/13.,I did HIIT on 2021/08/13.\n39248,2021/08/13,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n39249,2021/08/13,\"I had chinese food for lunch with Carter, Andrew, Kayden\",\"I had chinese food for lunch with Carter, Andrew, Kayden\"\n39250,2021/08/13,I prepare a burger for dinner.,I prepare a burger for dinner.\n39251,2021/08/13,\"I talked to Piper, Hazel, Layla for 51 minutes in the morning.\",\"I talked to Piper, Hazel, Layla for 51 minutes in the morning.\"\n39252,2021/08/13,\"I talked to Piper, Claire for 37 minutes late in the evening.\",\"I talked to Piper, Claire for 37 minutes late in the evening.\"\n39253,2021/08/13,\"I spent 9 talking to Rylee, Nora, Layla, Piper on various topics in the morning.\",\"I spent 9 talking to Rylee, Nora, Layla, Piper on various topics in the morning.\"\n39254,2021/08/13,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n39255,2021/08/13,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n39256,2021/08/14,\"On 2021/08/14, I took Henry on a date to a restaurant\",\"On 2021/08/14, I took Henry on a date to a restaurant\"\n39257,2021/08/14,\"I went grocery shopping with Layla, Hazel, Rylee. I bought some peaches, strawberries, mineral water, apple juice, coffee, milk, and toilet paper, paper towel, mouthwash\",\"I went grocery shopping with Layla, Hazel, Rylee. I bought some peaches, strawberries, mineral water, apple juice, coffee, milk, and toilet paper, paper towel, mouthwash\"\n39258,2021/08/14,I did swimming on 2021/08/14.,I did swimming on 2021/08/14.\n39259,2021/08/14,\"I had cereals for breakfast with Layla, Piper, Nevaeh, Eva, Avery, Kinsley, Claire, Piper\",\"I had cereals for breakfast with Layla, Piper, Nevaeh, Eva, Avery, Kinsley, Claire, Piper\"\n39260,2021/08/14,I prepare sushi for lunch.,I prepare sushi for lunch.\n39261,2021/08/14,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n39262,2021/08/14,\"I spent 17 talking to Rylee, Eva, Olivia on various topics in the early evening.\",\"I spent 17 talking to Rylee, Eva, Olivia on various topics in the early evening.\"\n39263,2021/08/14,I spent 40 talking to Eva on various topics during lunch hours.,I spent 40 talking to Eva on various topics during lunch hours.\n39264,2021/08/14,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n39265,2021/08/14,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n39266,2021/08/15,I did HIIT on 2021/08/15.,I did HIIT on 2021/08/15.\n39267,2021/08/15,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n39268,2021/08/15,\"I had sandwich for lunch with Avery, Claire, Lydia, Piper, Eva, Kinsley, Nevaeh, Hazel, Piper, Olivia, Rylee\",\"I had sandwich for lunch with Avery, Claire, Lydia, Piper, Eva, Kinsley, Nevaeh, Hazel, Piper, Olivia, Rylee\"\n39269,2021/08/15,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n39270,2021/08/15,\"I talked to Piper, Layla, Eva for 18 minutes in the morning.\",\"I talked to Piper, Layla, Eva for 18 minutes in the morning.\"\n39271,2021/08/15,I talked to Lydia for 48 minutes in the early evening.,I talked to Lydia for 48 minutes in the early evening.\n39272,2021/08/15,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n39273,2021/08/15,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n39274,2021/08/16,I went on a date with Aria on 2021/08/16 at a park,I went on a date with Aria on 2021/08/16 at a park\n39275,2021/08/16,I did swimming on 2021/08/16.,I did swimming on 2021/08/16.\n39276,2021/08/16,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n39277,2021/08/16,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n39278,2021/08/16,\"I had steak for dinner with Avery, Eva, Nevaeh, Kinsley, Piper, Rylee, Hazel\",\"I had steak for dinner with Avery, Eva, Nevaeh, Kinsley, Piper, Rylee, Hazel\"\n39279,2021/08/16,\"I spent 27 talking to Claire, Hazel, Kinsley, Piper on various topics during lunch hours.\",\"I spent 27 talking to Claire, Hazel, Kinsley, Piper on various topics during lunch hours.\"\n39280,2021/08/16,\"I spent 35 talking to Piper, Lydia on various topics in the early afternoon.\",\"I spent 35 talking to Piper, Lydia on various topics in the early afternoon.\"\n39281,2021/08/16,\"I talked to Eva, Nevaeh, Claire, Piper for 44 minutes during lunch hours.\",\"I talked to Eva, Nevaeh, Claire, Piper for 44 minutes during lunch hours.\"\n39282,2021/08/16,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n39283,2021/08/16,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n39284,2021/08/17,I did HIIT on 2021/08/17.,I did HIIT on 2021/08/17.\n39285,2021/08/17,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n39286,2021/08/17,\"I had fish and chips for lunch with Piper, Nevaeh, Claire\",\"I had fish and chips for lunch with Piper, Nevaeh, Claire\"\n39287,2021/08/17,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n39288,2021/08/17,I talked to Eva for 46 minutes in the early afternoon.,I talked to Eva for 46 minutes in the early afternoon.\n39289,2021/08/17,\"I spent 49 talking to Nora, Hazel, Layla, Olivia on various topics in the late afternoon.\",\"I spent 49 talking to Nora, Hazel, Layla, Olivia on various topics in the late afternoon.\"\n39290,2021/08/17,\"I spent 25 talking to Claire, Piper on various topics in the early evening.\",\"I spent 25 talking to Claire, Piper on various topics in the early evening.\"\n39291,2021/08/17,\"I spent 20 talking to Hazel, Claire, Nora, Piper on various topics in the early afternoon.\",\"I spent 20 talking to Hazel, Claire, Nora, Piper on various topics in the early afternoon.\"\n39292,2021/08/17,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n39293,2021/08/17,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n39294,2021/08/18,I did running on 2021/08/18.,I did running on 2021/08/18.\n39295,2021/08/18,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n39296,2021/08/18,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n39297,2021/08/18,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n39298,2021/08/18,\"I spent 35 talking to Eva, Olivia on various topics during lunch hours.\",\"I spent 35 talking to Eva, Olivia on various topics during lunch hours.\"\n39299,2021/08/18,\"I spent 42 talking to Layla, Olivia, Hazel on various topics during lunch hours.\",\"I spent 42 talking to Layla, Olivia, Hazel on various topics during lunch hours.\"\n39300,2021/08/18,\"I talked to Claire, Nevaeh for 15 minutes in the early evening.\",\"I talked to Claire, Nevaeh for 15 minutes in the early evening.\"\n39301,2021/08/18,I talked to Olivia for 15 minutes during lunch hours.,I talked to Olivia for 15 minutes during lunch hours.\n39302,2021/08/18,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n39303,2021/08/18,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n39304,2021/08/19,\"I bought some apples, nectarines, chocolate milk, mineral water, shaving cream, mouth wash, toilet paper, paper towel online.\",\"I bought some apples, nectarines, chocolate milk, mineral water, shaving cream, mouth wash, toilet paper, paper towel online.\"\n39305,2021/08/19,I had breakfast with Andrew. I ate peanut-butter-jam.,I had breakfast with Andrew. I ate peanut-butter-jam.\n39306,2021/08/19,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n39307,2021/08/19,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n39308,2021/08/19,\"I spent 6 talking to Kinsley, Lydia, Piper, Piper on various topics in the early afternoon.\",\"I spent 6 talking to Kinsley, Lydia, Piper, Piper on various topics in the early afternoon.\"\n39309,2021/08/19,\"I talked to Nora, Olivia for 48 minutes late in the evening.\",\"I talked to Nora, Olivia for 48 minutes late in the evening.\"\n39310,2021/08/19,\"I spent 5 talking to Nora, Lydia on various topics in the morning.\",\"I spent 5 talking to Nora, Lydia on various topics in the morning.\"\n39311,2021/08/19,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n39312,2021/08/19,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n39313,2021/08/20,I did biking on 2021/08/20.,I did biking on 2021/08/20.\n39314,2021/08/20,I had breakfast with Emily. I ate pancakes.,I had breakfast with Emily. I ate pancakes.\n39315,2021/08/20,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n39316,2021/08/20,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n39317,2021/08/20,\"I talked to Piper, Hazel, Nora for 29 minutes in the early evening.\",\"I talked to Piper, Hazel, Nora for 29 minutes in the early evening.\"\n39318,2021/08/20,\"I spent 47 talking to Piper, Lydia on various topics late in the evening.\",\"I spent 47 talking to Piper, Lydia on various topics late in the evening.\"\n39319,2021/08/20,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n39320,2021/08/20,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n39321,2021/08/21,\"I bought some guava, pineapples, apricots, watermelons, sports drinks, mouth wash, toothpaste, paper towel, toothbrush from the grocery store. I saw Claire, Kinsley, Rylee, Nora, Hazel at the grocery store.\",\"I bought some guava, pineapples, apricots, watermelons, sports drinks, mouth wash, toothpaste, paper towel, toothbrush from the grocery store. I saw Claire, Kinsley, Rylee, Nora, Hazel at the grocery store.\"\n39322,2021/08/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n39323,2021/08/21,I ate steak for lunch.,I ate steak for lunch.\n39324,2021/08/21,\"I had dinner with Kayden, Andrew, Emily. I ate chinese food.\",\"I had dinner with Kayden, Andrew, Emily. I ate chinese food.\"\n39325,2021/08/21,\"I talked to Hazel, Rylee, Lydia, Piper for 44 minutes in the late afternoon.\",\"I talked to Hazel, Rylee, Lydia, Piper for 44 minutes in the late afternoon.\"\n39326,2021/08/21,\"I talked to Claire, Piper, Nora for 40 minutes in the late afternoon.\",\"I talked to Claire, Piper, Nora for 40 minutes in the late afternoon.\"\n39327,2021/08/21,\"I talked to Hazel, Lydia, Piper for 15 minutes in the early evening.\",\"I talked to Hazel, Lydia, Piper for 15 minutes in the early evening.\"\n39328,2021/08/21,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n39329,2021/08/21,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n39330,2021/08/22,\"On 2021/08/22, I took Liam on a date to a boba shop\",\"On 2021/08/22, I took Liam on a date to a boba shop\"\n39331,2021/08/22,I did HIIT on 2021/08/22.,I did HIIT on 2021/08/22.\n39332,2021/08/22,\"I had breakfast with Carter, Emily. I ate toast and cheese.\",\"I had breakfast with Carter, Emily. I ate toast and cheese.\"\n39333,2021/08/22,\"I had lunch with Lydia, Avery, Piper, Olivia, Rylee, Nora, Eva, Claire, Nevaeh, Piper. I ate a burger.\",\"I had lunch with Lydia, Avery, Piper, Olivia, Rylee, Nora, Eva, Claire, Nevaeh, Piper. I ate a burger.\"\n39334,2021/08/22,I had dinner with Avery. I ate indian food.,I had dinner with Avery. I ate indian food.\n39335,2021/08/22,\"I talked to Kinsley, Piper for 35 minutes in the morning.\",\"I talked to Kinsley, Piper for 35 minutes in the morning.\"\n39336,2021/08/22,I talked to Avery for 49 minutes in the late afternoon.,I talked to Avery for 49 minutes in the late afternoon.\n39337,2021/08/22,\"I talked to Lydia, Piper, Rylee for 44 minutes late in the evening.\",\"I talked to Lydia, Piper, Rylee for 44 minutes late in the evening.\"\n39338,2021/08/22,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n39339,2021/08/22,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n39340,2021/08/23,I did running on 2021/08/23.,I did running on 2021/08/23.\n39341,2021/08/23,\"I had eggs, sausages, and bread for breakfast with Hazel, Lydia, Nora\",\"I had eggs, sausages, and bread for breakfast with Hazel, Lydia, Nora\"\n39342,2021/08/23,\"I had lunch with Piper, Eva, Avery, Hazel, Claire, Piper, Nevaeh, Lydia, Rylee, Olivia. I ate chinese food.\",\"I had lunch with Piper, Eva, Avery, Hazel, Claire, Piper, Nevaeh, Lydia, Rylee, Olivia. I ate chinese food.\"\n39343,2021/08/23,\"I had steak for dinner with Jackson, Benjamin\",\"I had steak for dinner with Jackson, Benjamin\"\n39344,2021/08/23,\"I talked to Avery, Piper, Nevaeh, Piper for 46 minutes in the morning.\",\"I talked to Avery, Piper, Nevaeh, Piper for 46 minutes in the morning.\"\n39345,2021/08/23,\"I talked to Piper, Kinsley, Hazel for 52 minutes during lunch hours.\",\"I talked to Piper, Kinsley, Hazel for 52 minutes during lunch hours.\"\n39346,2021/08/23,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n39347,2021/08/23,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n39348,2021/08/24,I did HIIT on 2021/08/24.,I did HIIT on 2021/08/24.\n39349,2021/08/24,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n39350,2021/08/24,\"I had sushi for lunch with Kayden, Andrew, Carter\",\"I had sushi for lunch with Kayden, Andrew, Carter\"\n39351,2021/08/24,I ate chinese food for dinner.,I ate chinese food for dinner.\n39352,2021/08/24,\"I talked to Olivia, Rylee, Nora, Claire for 36 minutes in the early evening.\",\"I talked to Olivia, Rylee, Nora, Claire for 36 minutes in the early evening.\"\n39353,2021/08/24,\"I talked to Olivia, Avery, Claire, Rylee for 52 minutes in the morning.\",\"I talked to Olivia, Avery, Claire, Rylee for 52 minutes in the morning.\"\n39354,2021/08/24,\"I talked to Claire, Avery, Nevaeh, Hazel for 31 minutes in the morning.\",\"I talked to Claire, Avery, Nevaeh, Hazel for 31 minutes in the morning.\"\n39355,2021/08/24,I spent 19 talking to Nevaeh on various topics in the morning.,I spent 19 talking to Nevaeh on various topics in the morning.\n39356,2021/08/24,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n39357,2021/08/24,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n39358,2021/08/25,I did HIIT on 2021/08/25.,I did HIIT on 2021/08/25.\n39359,2021/08/25,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n39360,2021/08/25,\"I had lunch with Emily, Carter, Kayden, Andrew. I ate pasta.\",\"I had lunch with Emily, Carter, Kayden, Andrew. I ate pasta.\"\n39361,2021/08/25,I had sandwich for dinner with Kayden,I had sandwich for dinner with Kayden\n39362,2021/08/25,\"I spent 23 talking to Rylee, Lydia, Nora on various topics during lunch hours.\",\"I spent 23 talking to Rylee, Lydia, Nora on various topics during lunch hours.\"\n39363,2021/08/25,\"I spent 14 talking to Piper, Eva, Layla, Olivia on various topics in the early afternoon.\",\"I spent 14 talking to Piper, Eva, Layla, Olivia on various topics in the early afternoon.\"\n39364,2021/08/25,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n39365,2021/08/25,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n39366,2021/08/26,\"On 2021/08/26, I took Daniel on a date to a coffee Shop\",\"On 2021/08/26, I took Daniel on a date to a coffee Shop\"\n39367,2021/08/26,I did HIIT on 2021/08/26.,I did HIIT on 2021/08/26.\n39368,2021/08/26,\"I had peanut-butter-jam for breakfast with Emily, Andrew\",\"I had peanut-butter-jam for breakfast with Emily, Andrew\"\n39369,2021/08/26,I ate chinese food for lunch.,I ate chinese food for lunch.\n39370,2021/08/26,I ate a burger for dinner.,I ate a burger for dinner.\n39371,2021/08/26,\"I spent 31 talking to Layla, Rylee, Eva, Kinsley on various topics in the late afternoon.\",\"I spent 31 talking to Layla, Rylee, Eva, Kinsley on various topics in the late afternoon.\"\n39372,2021/08/26,\"I talked to Nora, Lydia, Eva, Claire for 10 minutes in the early evening.\",\"I talked to Nora, Lydia, Eva, Claire for 10 minutes in the early evening.\"\n39373,2021/08/26,\"I talked to Eva, Olivia for 32 minutes in the late afternoon.\",\"I talked to Eva, Olivia for 32 minutes in the late afternoon.\"\n39374,2021/08/26,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n39375,2021/08/26,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n39376,2021/08/27,I really enjoyed working out on 2021/08/27,I really enjoyed working out on 2021/08/27\n39377,2021/08/27,I did running on 2021/08/27.,I did running on 2021/08/27.\n39378,2021/08/27,\"I had breakfast with Hazel, Eva, Lydia, Nora, Claire, Piper, Piper, Kinsley, Layla, Rylee. I ate cereals.\",\"I had breakfast with Hazel, Eva, Lydia, Nora, Claire, Piper, Piper, Kinsley, Layla, Rylee. I ate cereals.\"\n39379,2021/08/27,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n39380,2021/08/27,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n39381,2021/08/27,\"I talked to Olivia, Claire, Avery, Nevaeh for 6 minutes during lunch hours.\",\"I talked to Olivia, Claire, Avery, Nevaeh for 6 minutes during lunch hours.\"\n39382,2021/08/27,\"I spent 54 talking to Hazel, Kinsley, Piper, Nora on various topics in the late afternoon.\",\"I spent 54 talking to Hazel, Kinsley, Piper, Nora on various topics in the late afternoon.\"\n39383,2021/08/27,\"I talked to Avery, Rylee, Layla for 50 minutes during lunch hours.\",\"I talked to Avery, Rylee, Layla for 50 minutes during lunch hours.\"\n39384,2021/08/27,\"I talked to Nora, Piper, Piper for 48 minutes during lunch hours.\",\"I talked to Nora, Piper, Piper for 48 minutes during lunch hours.\"\n39385,2021/08/27,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n39386,2021/08/27,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n39387,2021/08/28,\"On 2021/08/28, I took Camila on a date to a park\",\"On 2021/08/28, I took Camila on a date to a park\"\n39388,2021/08/28,\"I went grocery shopping. I bought some strawberries, soda, chocolate milk, and mouthwash, shampoo\",\"I went grocery shopping. I bought some strawberries, soda, chocolate milk, and mouthwash, shampoo\"\n39389,2021/08/28,I did weight lifting on 2021/08/28.,I did weight lifting on 2021/08/28.\n39390,2021/08/28,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n39391,2021/08/28,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n39392,2021/08/28,\"I had pasta for dinner with Nevaeh, Avery, Layla, Claire, Piper, Nora\",\"I had pasta for dinner with Nevaeh, Avery, Layla, Claire, Piper, Nora\"\n39393,2021/08/28,\"I spent 29 talking to Claire, Eva, Layla on various topics in the morning.\",\"I spent 29 talking to Claire, Eva, Layla on various topics in the morning.\"\n39394,2021/08/28,I spent 30 talking to Rylee on various topics in the early afternoon.,I spent 30 talking to Rylee on various topics in the early afternoon.\n39395,2021/08/28,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n39396,2021/08/28,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n39397,2021/08/29,I did HIIT on 2021/08/29.,I did HIIT on 2021/08/29.\n39398,2021/08/29,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n39399,2021/08/29,\"I had sandwich for lunch with Willow, Avery, Benjamin, Jackson\",\"I had sandwich for lunch with Willow, Avery, Benjamin, Jackson\"\n39400,2021/08/29,I prepare sushi for dinner.,I prepare sushi for dinner.\n39401,2021/08/29,\"I talked to Rylee, Eva for 42 minutes in the late afternoon.\",\"I talked to Rylee, Eva for 42 minutes in the late afternoon.\"\n39402,2021/08/29,\"I spent 17 talking to Avery, Lydia, Claire, Piper on various topics in the early evening.\",\"I spent 17 talking to Avery, Lydia, Claire, Piper on various topics in the early evening.\"\n39403,2021/08/29,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n39404,2021/08/29,I spent 38 minutes watching a tv series on TV today.,I spent 38 minutes watching a tv series on TV today.\n39405,2021/08/30,I did HIIT on 2021/08/30.,I did HIIT on 2021/08/30.\n39406,2021/08/30,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n39407,2021/08/30,I had sandwich for lunch with Willow,I had sandwich for lunch with Willow\n39408,2021/08/30,I prepare indian food for dinner.,I prepare indian food for dinner.\n39409,2021/08/30,\"I talked to Layla, Hazel, Olivia for 42 minutes in the late afternoon.\",\"I talked to Layla, Hazel, Olivia for 42 minutes in the late afternoon.\"\n39410,2021/08/30,I talked to Nevaeh for 53 minutes during lunch hours.,I talked to Nevaeh for 53 minutes during lunch hours.\n39411,2021/08/30,\"I spent 37 talking to Claire, Olivia, Rylee, Lydia on various topics in the late afternoon.\",\"I spent 37 talking to Claire, Olivia, Rylee, Lydia on various topics in the late afternoon.\"\n39412,2021/08/30,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n39413,2021/08/30,I spent 39 minutes watching a movie on TV today.,I spent 39 minutes watching a movie on TV today.\n39414,2021/08/31,\"On 2021/08/31, I took Isla on a date to a restaurant\",\"On 2021/08/31, I took Isla on a date to a restaurant\"\n39415,2021/08/31,\"I went grocery shopping with Nora, Avery, Rylee, Piper, Nevaeh, Claire, Eva, Lydia, Layla, Kinsley, Olivia, Hazel, Piper. I bought some oranges, blueberries, watermelons, soda, mineral water, and toilet paper, shaving cream, paper towel\",\"I went grocery shopping with Nora, Avery, Rylee, Piper, Nevaeh, Claire, Eva, Lydia, Layla, Kinsley, Olivia, Hazel, Piper. I bought some oranges, blueberries, watermelons, soda, mineral water, and toilet paper, shaving cream, paper towel\"\n39416,2021/08/31,I did running on 2021/08/31.,I did running on 2021/08/31.\n39417,2021/08/31,I ate cereals for breakfast.,I ate cereals for breakfast.\n39418,2021/08/31,\"I had lunch with Emily, Andrew, Carter, Kayden. I ate sandwich.\",\"I had lunch with Emily, Andrew, Carter, Kayden. I ate sandwich.\"\n39419,2021/08/31,\"I had dinner with Kayden, Carter, Andrew, Emily. I ate sushi.\",\"I had dinner with Kayden, Carter, Andrew, Emily. I ate sushi.\"\n39420,2021/08/31,I spent 24 talking to Hazel on various topics in the late afternoon.,I spent 24 talking to Hazel on various topics in the late afternoon.\n39421,2021/08/31,\"I spent 37 talking to Layla, Nora, Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 37 talking to Layla, Nora, Piper, Nevaeh on various topics in the early afternoon.\"\n39422,2021/08/31,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n39423,2021/08/31,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n39424,2021/09/01,I did HIIT on 2021/09/01.,I did HIIT on 2021/09/01.\n39425,2021/09/01,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n39426,2021/09/01,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n39427,2021/09/01,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n39428,2021/09/01,\"I talked to Kinsley, Layla, Lydia for 48 minutes in the early afternoon.\",\"I talked to Kinsley, Layla, Lydia for 48 minutes in the early afternoon.\"\n39429,2021/09/01,\"I spent 33 talking to Piper, Avery, Nora, Hazel on various topics in the early evening.\",\"I spent 33 talking to Piper, Avery, Nora, Hazel on various topics in the early evening.\"\n39430,2021/09/01,\"I spent 21 talking to Piper, Layla, Piper on various topics in the early afternoon.\",\"I spent 21 talking to Piper, Layla, Piper on various topics in the early afternoon.\"\n39431,2021/09/01,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n39432,2021/09/01,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n39433,2021/09/02,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n39434,2021/09/02,\"I had sandwich for lunch with Piper, Olivia, Avery, Kinsley, Piper, Lydia, Layla, Nora\",\"I had sandwich for lunch with Piper, Olivia, Avery, Kinsley, Piper, Lydia, Layla, Nora\"\n39435,2021/09/02,I had dinner. I ate steak.,I had dinner. I ate steak.\n39436,2021/09/02,I talked to Rylee for 51 minutes during lunch hours.,I talked to Rylee for 51 minutes during lunch hours.\n39437,2021/09/02,\"I talked to Kinsley, Lydia, Layla for 30 minutes during lunch hours.\",\"I talked to Kinsley, Lydia, Layla for 30 minutes during lunch hours.\"\n39438,2021/09/02,\"I talked to Piper, Layla, Rylee for 21 minutes in the late afternoon.\",\"I talked to Piper, Layla, Rylee for 21 minutes in the late afternoon.\"\n39439,2021/09/02,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n39440,2021/09/02,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n39441,2021/09/03,I did HIIT on 2021/09/03.,I did HIIT on 2021/09/03.\n39442,2021/09/03,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n39443,2021/09/03,\"I had sandwich for lunch with Hazel, Rylee, Olivia, Eva, Claire, Nevaeh, Piper, Piper, Nora, Avery, Kinsley, Lydia\",\"I had sandwich for lunch with Hazel, Rylee, Olivia, Eva, Claire, Nevaeh, Piper, Piper, Nora, Avery, Kinsley, Lydia\"\n39444,2021/09/03,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n39445,2021/09/03,\"I talked to Piper, Avery, Kinsley, Lydia for 33 minutes in the late afternoon.\",\"I talked to Piper, Avery, Kinsley, Lydia for 33 minutes in the late afternoon.\"\n39446,2021/09/03,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n39447,2021/09/03,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n39448,2021/09/04,I spent some time learning a language on 2021/09/04.,I spent some time learning a language on 2021/09/04.\n39449,2021/09/04,I did HIIT on 2021/09/04.,I did HIIT on 2021/09/04.\n39450,2021/09/04,\"I had breakfast with Hazel, Lydia, Claire, Rylee, Piper, Kinsley, Eva, Piper, Avery, Olivia, Layla, Nora. I ate oatmeal.\",\"I had breakfast with Hazel, Lydia, Claire, Rylee, Piper, Kinsley, Eva, Piper, Avery, Olivia, Layla, Nora. I ate oatmeal.\"\n39451,2021/09/04,I prepare steak for lunch.,I prepare steak for lunch.\n39452,2021/09/04,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n39453,2021/09/04,\"I talked to Piper, Rylee, Hazel, Claire for 28 minutes during lunch hours.\",\"I talked to Piper, Rylee, Hazel, Claire for 28 minutes during lunch hours.\"\n39454,2021/09/04,\"I talked to Lydia, Nevaeh for 44 minutes in the early evening.\",\"I talked to Lydia, Nevaeh for 44 minutes in the early evening.\"\n39455,2021/09/04,\"I talked to Lydia, Eva, Piper, Hazel for 20 minutes in the late afternoon.\",\"I talked to Lydia, Eva, Piper, Hazel for 20 minutes in the late afternoon.\"\n39456,2021/09/04,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n39457,2021/09/04,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n39458,2021/09/05,\"I bought some guava, peaches, strawberries, mandarins, orange juice, sports drinks, pineapple juice, conditioner, shampoo, mouth wash from the grocery store. I saw Jackson, Avery, Willow at the grocery store.\",\"I bought some guava, peaches, strawberries, mandarins, orange juice, sports drinks, pineapple juice, conditioner, shampoo, mouth wash from the grocery store. I saw Jackson, Avery, Willow at the grocery store.\"\n39459,2021/09/05,I did HIIT on 2021/09/05.,I did HIIT on 2021/09/05.\n39460,2021/09/05,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n39461,2021/09/05,\"I had indian food for lunch with Claire, Piper, Hazel, Nora, Lydia, Piper, Nevaeh, Olivia, Layla\",\"I had indian food for lunch with Claire, Piper, Hazel, Nora, Lydia, Piper, Nevaeh, Olivia, Layla\"\n39462,2021/09/05,I ate a burger for dinner.,I ate a burger for dinner.\n39463,2021/09/05,I spent 44 talking to Layla on various topics during lunch hours.,I spent 44 talking to Layla on various topics during lunch hours.\n39464,2021/09/05,\"I talked to Piper, Lydia, Olivia for 41 minutes in the early afternoon.\",\"I talked to Piper, Lydia, Olivia for 41 minutes in the early afternoon.\"\n39465,2021/09/05,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n39466,2021/09/05,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n39467,2021/09/06,I spent some time yoga on 2021/09/06.,I spent some time yoga on 2021/09/06.\n39468,2021/09/06,I did HIIT on 2021/09/06.,I did HIIT on 2021/09/06.\n39469,2021/09/06,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n39470,2021/09/06,I ate tacos for lunch.,I ate tacos for lunch.\n39471,2021/09/06,I prepare steak for dinner.,I prepare steak for dinner.\n39472,2021/09/06,I spent 26 talking to Eva on various topics late in the evening.,I spent 26 talking to Eva on various topics late in the evening.\n39473,2021/09/06,I talked to Rylee for 21 minutes in the early evening.,I talked to Rylee for 21 minutes in the early evening.\n39474,2021/09/06,\"I spent 24 talking to Avery, Nevaeh on various topics late in the evening.\",\"I spent 24 talking to Avery, Nevaeh on various topics late in the evening.\"\n39475,2021/09/06,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n39476,2021/09/06,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n39477,2021/09/07,\"I was cooking lo mein, ground turkey vegetable soup, hamburger stroganoff on 2021/09/07 with Jackson, Benjamin, Avery, Willow at my place\",\"I was cooking lo mein, ground turkey vegetable soup, hamburger stroganoff on 2021/09/07 with Jackson, Benjamin, Avery, Willow at my place\"\n39478,2021/09/07,I did HIIT on 2021/09/07.,I did HIIT on 2021/09/07.\n39479,2021/09/07,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n39480,2021/09/07,\"I had lunch with Andrew, Emily, Kayden, Carter. I ate indian food.\",\"I had lunch with Andrew, Emily, Kayden, Carter. I ate indian food.\"\n39481,2021/09/07,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n39482,2021/09/07,\"I spent 7 talking to Nevaeh, Eva on various topics late in the evening.\",\"I spent 7 talking to Nevaeh, Eva on various topics late in the evening.\"\n39483,2021/09/07,\"I spent 52 talking to Layla, Piper on various topics in the early evening.\",\"I spent 52 talking to Layla, Piper on various topics in the early evening.\"\n39484,2021/09/07,\"I talked to Piper, Rylee for 8 minutes in the early afternoon.\",\"I talked to Piper, Rylee for 8 minutes in the early afternoon.\"\n39485,2021/09/07,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n39486,2021/09/07,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n39487,2021/09/08,\"On 2021/09/08, I took Serenity on a date to a park\",\"On 2021/09/08, I took Serenity on a date to a park\"\n39488,2021/09/08,I did hiking on 2021/09/08.,I did hiking on 2021/09/08.\n39489,2021/09/08,I had toast and cheese for breakfast with Jackson,I had toast and cheese for breakfast with Jackson\n39490,2021/09/08,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n39491,2021/09/08,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n39492,2021/09/08,\"I talked to Hazel, Rylee for 55 minutes late in the evening.\",\"I talked to Hazel, Rylee for 55 minutes late in the evening.\"\n39493,2021/09/08,\"I talked to Lydia, Piper, Kinsley for 26 minutes during lunch hours.\",\"I talked to Lydia, Piper, Kinsley for 26 minutes during lunch hours.\"\n39494,2021/09/08,I spent 19 talking to Rylee on various topics during lunch hours.,I spent 19 talking to Rylee on various topics during lunch hours.\n39495,2021/09/08,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n39496,2021/09/08,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n39497,2021/09/09,\"I went grocery shopping. I bought some pears, watermelons, clementines, soda, guava juice, and shaving cream, shampoo\",\"I went grocery shopping. I bought some pears, watermelons, clementines, soda, guava juice, and shaving cream, shampoo\"\n39498,2021/09/09,I did swimming on 2021/09/09.,I did swimming on 2021/09/09.\n39499,2021/09/09,\"I had eggs, sausages, and bread for breakfast with Emily, Andrew, Carter, Kayden\",\"I had eggs, sausages, and bread for breakfast with Emily, Andrew, Carter, Kayden\"\n39500,2021/09/09,\"I had lunch with Carter, Kayden, Andrew. I ate a burger.\",\"I had lunch with Carter, Kayden, Andrew. I ate a burger.\"\n39501,2021/09/09,\"I had dinner with Emily, Carter. I ate fish and chips.\",\"I had dinner with Emily, Carter. I ate fish and chips.\"\n39502,2021/09/09,I spent 47 talking to Rylee on various topics in the morning.,I spent 47 talking to Rylee on various topics in the morning.\n39503,2021/09/09,\"I talked to Hazel, Rylee, Piper, Layla for 28 minutes during lunch hours.\",\"I talked to Hazel, Rylee, Piper, Layla for 28 minutes during lunch hours.\"\n39504,2021/09/09,\"I spent 19 talking to Layla, Eva, Piper, Hazel on various topics during lunch hours.\",\"I spent 19 talking to Layla, Eva, Piper, Hazel on various topics during lunch hours.\"\n39505,2021/09/09,I talked to Lydia for 38 minutes in the early evening.,I talked to Lydia for 38 minutes in the early evening.\n39506,2021/09/09,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n39507,2021/09/09,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n39508,2021/09/10,I really enjoyed yoga on 2021/09/10,I really enjoyed yoga on 2021/09/10\n39509,2021/09/10,I did weight lifting on 2021/09/10.,I did weight lifting on 2021/09/10.\n39510,2021/09/10,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n39511,2021/09/10,\"I had steak for lunch with Carter, Emily, Kayden, Andrew\",\"I had steak for lunch with Carter, Emily, Kayden, Andrew\"\n39512,2021/09/10,I had dinner. I ate steak.,I had dinner. I ate steak.\n39513,2021/09/10,\"I talked to Nora, Rylee for 36 minutes in the early afternoon.\",\"I talked to Nora, Rylee for 36 minutes in the early afternoon.\"\n39514,2021/09/10,I spent 22 talking to Piper on various topics during lunch hours.,I spent 22 talking to Piper on various topics during lunch hours.\n39515,2021/09/10,\"I spent 52 talking to Rylee, Nora, Kinsley, Lydia on various topics during lunch hours.\",\"I spent 52 talking to Rylee, Nora, Kinsley, Lydia on various topics during lunch hours.\"\n39516,2021/09/10,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n39517,2021/09/10,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n39518,2021/09/11,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n39519,2021/09/11,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n39520,2021/09/11,\"I had dinner with Hazel, Olivia, Claire, Piper, Kinsley, Eva, Avery, Layla, Lydia, Piper. I ate indian food.\",\"I had dinner with Hazel, Olivia, Claire, Piper, Kinsley, Eva, Avery, Layla, Lydia, Piper. I ate indian food.\"\n39521,2021/09/11,\"I talked to Piper, Eva, Piper for 10 minutes in the late afternoon.\",\"I talked to Piper, Eva, Piper for 10 minutes in the late afternoon.\"\n39522,2021/09/11,\"I spent 33 talking to Rylee, Lydia, Kinsley on various topics during lunch hours.\",\"I spent 33 talking to Rylee, Lydia, Kinsley on various topics during lunch hours.\"\n39523,2021/09/11,\"I spent 29 talking to Piper, Eva, Nora on various topics in the morning.\",\"I spent 29 talking to Piper, Eva, Nora on various topics in the morning.\"\n39524,2021/09/11,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n39525,2021/09/11,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n39526,2021/09/12,\"I went grocery shopping. I bought some strawberries, mandarins, pineapple juice, and body lotion\",\"I went grocery shopping. I bought some strawberries, mandarins, pineapple juice, and body lotion\"\n39527,2021/09/12,I did biking on 2021/09/12.,I did biking on 2021/09/12.\n39528,2021/09/12,\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate oatmeal.\",\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate oatmeal.\"\n39529,2021/09/12,I ate chinese food for lunch.,I ate chinese food for lunch.\n39530,2021/09/12,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n39531,2021/09/12,\"I spent 18 talking to Lydia, Eva, Avery on various topics in the late afternoon.\",\"I spent 18 talking to Lydia, Eva, Avery on various topics in the late afternoon.\"\n39532,2021/09/12,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n39533,2021/09/12,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n39534,2021/09/13,\"I went grocery shopping with Benjamin. I bought some raspberries, strawberries, watermelons, peaches, tea, guava juice, milk, and facial wash, mouthwash, mouth wash\",\"I went grocery shopping with Benjamin. I bought some raspberries, strawberries, watermelons, peaches, tea, guava juice, milk, and facial wash, mouthwash, mouth wash\"\n39535,2021/09/13,I did swimming on 2021/09/13.,I did swimming on 2021/09/13.\n39536,2021/09/13,\"I had cereals for breakfast with Andrew, Emily, Kayden, Carter\",\"I had cereals for breakfast with Andrew, Emily, Kayden, Carter\"\n39537,2021/09/13,I ate sandwich for lunch.,I ate sandwich for lunch.\n39538,2021/09/13,\"I had indian food for dinner with Andrew, Carter, Emily, Kayden\",\"I had indian food for dinner with Andrew, Carter, Emily, Kayden\"\n39539,2021/09/13,\"I spent 47 talking to Nevaeh, Eva on various topics in the early afternoon.\",\"I spent 47 talking to Nevaeh, Eva on various topics in the early afternoon.\"\n39540,2021/09/13,\"I spent 15 talking to Nevaeh, Piper, Claire on various topics late in the evening.\",\"I spent 15 talking to Nevaeh, Piper, Claire on various topics late in the evening.\"\n39541,2021/09/13,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n39542,2021/09/13,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n39543,2021/09/14,I did biking on 2021/09/14.,I did biking on 2021/09/14.\n39544,2021/09/14,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n39545,2021/09/14,\"I had lunch with Layla, Eva, Rylee, Hazel, Nora, Nevaeh, Olivia. I ate a burger.\",\"I had lunch with Layla, Eva, Rylee, Hazel, Nora, Nevaeh, Olivia. I ate a burger.\"\n39546,2021/09/14,I prepare steak for dinner.,I prepare steak for dinner.\n39547,2021/09/14,\"I talked to Hazel, Eva for 39 minutes in the late afternoon.\",\"I talked to Hazel, Eva for 39 minutes in the late afternoon.\"\n39548,2021/09/14,\"I talked to Nevaeh, Avery, Claire, Hazel for 13 minutes late in the evening.\",\"I talked to Nevaeh, Avery, Claire, Hazel for 13 minutes late in the evening.\"\n39549,2021/09/14,I spent 50 talking to Hazel on various topics during lunch hours.,I spent 50 talking to Hazel on various topics during lunch hours.\n39550,2021/09/14,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n39551,2021/09/14,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n39552,2021/09/15,I did hiking on 2021/09/15.,I did hiking on 2021/09/15.\n39553,2021/09/15,\"I had breakfast with Layla, Lydia, Avery, Piper, Rylee. I ate pancakes.\",\"I had breakfast with Layla, Lydia, Avery, Piper, Rylee. I ate pancakes.\"\n39554,2021/09/15,\"I had pasta for lunch with Nora, Kinsley, Claire, Eva, Hazel\",\"I had pasta for lunch with Nora, Kinsley, Claire, Eva, Hazel\"\n39555,2021/09/15,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n39556,2021/09/15,\"I talked to Nora, Hazel, Claire, Lydia for 49 minutes during lunch hours.\",\"I talked to Nora, Hazel, Claire, Lydia for 49 minutes during lunch hours.\"\n39557,2021/09/15,\"I talked to Nora, Piper for 21 minutes in the early afternoon.\",\"I talked to Nora, Piper for 21 minutes in the early afternoon.\"\n39558,2021/09/15,\"I talked to Rylee, Claire, Piper for 7 minutes during lunch hours.\",\"I talked to Rylee, Claire, Piper for 7 minutes during lunch hours.\"\n39559,2021/09/15,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n39560,2021/09/15,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n39561,2021/09/16,I did biking on 2021/09/16.,I did biking on 2021/09/16.\n39562,2021/09/16,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n39563,2021/09/16,I prepare pasta for lunch.,I prepare pasta for lunch.\n39564,2021/09/16,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n39565,2021/09/16,\"I talked to Rylee, Layla, Piper, Avery for 47 minutes in the early afternoon.\",\"I talked to Rylee, Layla, Piper, Avery for 47 minutes in the early afternoon.\"\n39566,2021/09/16,\"I spent 45 talking to Claire, Rylee on various topics in the early evening.\",\"I spent 45 talking to Claire, Rylee on various topics in the early evening.\"\n39567,2021/09/16,\"I spent 13 talking to Rylee, Avery, Olivia on various topics late in the evening.\",\"I spent 13 talking to Rylee, Avery, Olivia on various topics late in the evening.\"\n39568,2021/09/16,\"I talked to Piper, Piper, Nora for 55 minutes in the early evening.\",\"I talked to Piper, Piper, Nora for 55 minutes in the early evening.\"\n39569,2021/09/16,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n39570,2021/09/16,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n39571,2021/09/17,I did HIIT on 2021/09/17.,I did HIIT on 2021/09/17.\n39572,2021/09/17,\"I had breakfast with Avery, Hazel, Kinsley, Olivia, Layla, Claire, Eva. I ate pancakes.\",\"I had breakfast with Avery, Hazel, Kinsley, Olivia, Layla, Claire, Eva. I ate pancakes.\"\n39573,2021/09/17,I prepare steak for lunch.,I prepare steak for lunch.\n39574,2021/09/17,I prepare steak for dinner.,I prepare steak for dinner.\n39575,2021/09/17,\"I talked to Rylee, Eva, Kinsley, Layla for 41 minutes in the morning.\",\"I talked to Rylee, Eva, Kinsley, Layla for 41 minutes in the morning.\"\n39576,2021/09/17,\"I spent 27 talking to Avery, Nora on various topics in the late afternoon.\",\"I spent 27 talking to Avery, Nora on various topics in the late afternoon.\"\n39577,2021/09/17,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n39578,2021/09/17,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n39579,2021/09/18,I did hiking on 2021/09/18.,I did hiking on 2021/09/18.\n39580,2021/09/18,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n39581,2021/09/18,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n39582,2021/09/18,I prepare steak for dinner.,I prepare steak for dinner.\n39583,2021/09/18,\"I spent 39 talking to Nevaeh, Layla, Avery, Rylee on various topics late in the evening.\",\"I spent 39 talking to Nevaeh, Layla, Avery, Rylee on various topics late in the evening.\"\n39584,2021/09/18,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n39585,2021/09/18,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n39586,2021/09/19,I spent some time meditation on 2021/09/19.,I spent some time meditation on 2021/09/19.\n39587,2021/09/19,\"I went grocery shopping with Lydia, Avery, Layla, Kinsley, Rylee, Nora, Claire, Hazel, Piper. I bought some mangos, mandarins, milk, tea, mineral water, and mouth wash, shampoo, toothpaste\",\"I went grocery shopping with Lydia, Avery, Layla, Kinsley, Rylee, Nora, Claire, Hazel, Piper. I bought some mangos, mandarins, milk, tea, mineral water, and mouth wash, shampoo, toothpaste\"\n39588,2021/09/19,I did weight lifting on 2021/09/19.,I did weight lifting on 2021/09/19.\n39589,2021/09/19,\"I had breakfast with Eva, Lydia, Layla, Piper, Claire, Nora, Avery, Kinsley, Piper, Nevaeh. I ate cereals.\",\"I had breakfast with Eva, Lydia, Layla, Piper, Claire, Nora, Avery, Kinsley, Piper, Nevaeh. I ate cereals.\"\n39590,2021/09/19,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n39591,2021/09/19,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n39592,2021/09/19,\"I talked to Rylee, Avery, Olivia for 10 minutes late in the evening.\",\"I talked to Rylee, Avery, Olivia for 10 minutes late in the evening.\"\n39593,2021/09/19,I talked to Kinsley for 27 minutes late in the evening.,I talked to Kinsley for 27 minutes late in the evening.\n39594,2021/09/19,\"I talked to Kinsley, Rylee, Nevaeh, Piper for 21 minutes in the morning.\",\"I talked to Kinsley, Rylee, Nevaeh, Piper for 21 minutes in the morning.\"\n39595,2021/09/19,\"I talked to Nevaeh, Kinsley, Piper for 26 minutes late in the evening.\",\"I talked to Nevaeh, Kinsley, Piper for 26 minutes late in the evening.\"\n39596,2021/09/19,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n39597,2021/09/19,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n39598,2021/09/20,\"On 2021/09/20, I took Aaliyah on a date to a park\",\"On 2021/09/20, I took Aaliyah on a date to a park\"\n39599,2021/09/20,I did weight lifting on 2021/09/20.,I did weight lifting on 2021/09/20.\n39600,2021/09/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n39601,2021/09/20,I prepare sushi for lunch.,I prepare sushi for lunch.\n39602,2021/09/20,\"I had indian food for dinner with Andrew, Kayden\",\"I had indian food for dinner with Andrew, Kayden\"\n39603,2021/09/20,\"I spent 39 talking to Nora, Olivia, Claire, Hazel on various topics in the morning.\",\"I spent 39 talking to Nora, Olivia, Claire, Hazel on various topics in the morning.\"\n39604,2021/09/20,I spent 35 talking to Claire on various topics in the early evening.,I spent 35 talking to Claire on various topics in the early evening.\n39605,2021/09/20,\"I talked to Piper, Eva, Nevaeh, Avery for 31 minutes in the early evening.\",\"I talked to Piper, Eva, Nevaeh, Avery for 31 minutes in the early evening.\"\n39606,2021/09/20,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n39607,2021/09/20,I watched a movie for 54 minutes on TV today.,I watched a movie for 54 minutes on TV today.\n39608,2021/09/21,I did HIIT on 2021/09/21.,I did HIIT on 2021/09/21.\n39609,2021/09/21,\"I had breakfast with Kayden, Emily, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Emily, Carter. I ate eggs, sausages, and bread.\"\n39610,2021/09/21,\"I had lunch with Carter, Emily, Kayden. I ate chinese food.\",\"I had lunch with Carter, Emily, Kayden. I ate chinese food.\"\n39611,2021/09/21,\"I had dinner with Kayden, Emily. I ate fish and chips.\",\"I had dinner with Kayden, Emily. I ate fish and chips.\"\n39612,2021/09/21,\"I talked to Lydia, Piper, Eva for 7 minutes in the early afternoon.\",\"I talked to Lydia, Piper, Eva for 7 minutes in the early afternoon.\"\n39613,2021/09/21,\"I talked to Avery, Piper for 12 minutes in the early afternoon.\",\"I talked to Avery, Piper for 12 minutes in the early afternoon.\"\n39614,2021/09/21,\"I spent 14 talking to Piper, Hazel, Nora on various topics in the early evening.\",\"I spent 14 talking to Piper, Hazel, Nora on various topics in the early evening.\"\n39615,2021/09/21,\"I spent 12 talking to Layla, Rylee, Lydia, Nora on various topics in the early afternoon.\",\"I spent 12 talking to Layla, Rylee, Lydia, Nora on various topics in the early afternoon.\"\n39616,2021/09/21,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n39617,2021/09/21,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n39618,2021/09/22,\"I bought some strawberries, bananas, clementines, peaches, orange juice, coffee, tea, guava juice, body lotion, mouthwash, facial wash, toilet paper online.\",\"I bought some strawberries, bananas, clementines, peaches, orange juice, coffee, tea, guava juice, body lotion, mouthwash, facial wash, toilet paper online.\"\n39619,2021/09/22,I did weight lifting on 2021/09/22.,I did weight lifting on 2021/09/22.\n39620,2021/09/22,\"I had breakfast with Emily, Carter, Andrew, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Carter, Andrew, Kayden. I ate eggs, sausages, and bread.\"\n39621,2021/09/22,\"I had chinese food for lunch with Andrew, Kayden\",\"I had chinese food for lunch with Andrew, Kayden\"\n39622,2021/09/22,\"I had tacos for dinner with Layla, Eva, Nevaeh, Piper, Olivia, Lydia, Nora, Piper, Rylee\",\"I had tacos for dinner with Layla, Eva, Nevaeh, Piper, Olivia, Lydia, Nora, Piper, Rylee\"\n39623,2021/09/22,\"I talked to Claire, Nevaeh, Avery for 22 minutes in the morning.\",\"I talked to Claire, Nevaeh, Avery for 22 minutes in the morning.\"\n39624,2021/09/22,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n39625,2021/09/22,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n39626,2021/09/23,I did HIIT on 2021/09/23.,I did HIIT on 2021/09/23.\n39627,2021/09/23,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n39628,2021/09/23,I ate a burger for lunch.,I ate a burger for lunch.\n39629,2021/09/23,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n39630,2021/09/23,\"I talked to Lydia, Avery for 18 minutes in the late afternoon.\",\"I talked to Lydia, Avery for 18 minutes in the late afternoon.\"\n39631,2021/09/23,\"I spent 54 talking to Layla, Eva, Lydia, Claire on various topics during lunch hours.\",\"I spent 54 talking to Layla, Eva, Lydia, Claire on various topics during lunch hours.\"\n39632,2021/09/23,\"I spent 22 talking to Piper, Piper, Kinsley on various topics in the early evening.\",\"I spent 22 talking to Piper, Piper, Kinsley on various topics in the early evening.\"\n39633,2021/09/23,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n39634,2021/09/23,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n39635,2021/09/24,I did biking on 2021/09/24.,I did biking on 2021/09/24.\n39636,2021/09/24,\"I had cereals for breakfast with Piper, Rylee, Avery, Olivia, Lydia\",\"I had cereals for breakfast with Piper, Rylee, Avery, Olivia, Lydia\"\n39637,2021/09/24,\"I had chinese food for lunch with Layla, Hazel, Kinsley, Eva, Nora, Claire, Piper, Rylee, Lydia, Nevaeh, Piper, Olivia, Avery\",\"I had chinese food for lunch with Layla, Hazel, Kinsley, Eva, Nora, Claire, Piper, Rylee, Lydia, Nevaeh, Piper, Olivia, Avery\"\n39638,2021/09/24,I prepare a burger for dinner.,I prepare a burger for dinner.\n39639,2021/09/24,\"I spent 14 talking to Eva, Claire, Piper, Piper on various topics in the late afternoon.\",\"I spent 14 talking to Eva, Claire, Piper, Piper on various topics in the late afternoon.\"\n39640,2021/09/24,\"I spent 17 talking to Olivia, Nora, Layla on various topics in the morning.\",\"I spent 17 talking to Olivia, Nora, Layla on various topics in the morning.\"\n39641,2021/09/24,\"I talked to Piper, Claire, Kinsley for 12 minutes in the late afternoon.\",\"I talked to Piper, Claire, Kinsley for 12 minutes in the late afternoon.\"\n39642,2021/09/24,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n39643,2021/09/24,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n39644,2021/09/25,I spent time learning a language on 2021/09/25 with Benjamin.,I spent time learning a language on 2021/09/25 with Benjamin.\n39645,2021/09/25,I did biking on 2021/09/25.,I did biking on 2021/09/25.\n39646,2021/09/25,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n39647,2021/09/25,I had fish and chips for lunch with Avery,I had fish and chips for lunch with Avery\n39648,2021/09/25,\"I had fish and chips for dinner with Carter, Andrew, Emily, Kayden\",\"I had fish and chips for dinner with Carter, Andrew, Emily, Kayden\"\n39649,2021/09/25,\"I talked to Lydia, Nora, Rylee, Claire for 45 minutes in the late afternoon.\",\"I talked to Lydia, Nora, Rylee, Claire for 45 minutes in the late afternoon.\"\n39650,2021/09/25,\"I talked to Avery, Nevaeh, Hazel for 26 minutes during lunch hours.\",\"I talked to Avery, Nevaeh, Hazel for 26 minutes during lunch hours.\"\n39651,2021/09/25,I spent 54 talking to Kinsley on various topics in the early evening.,I spent 54 talking to Kinsley on various topics in the early evening.\n39652,2021/09/25,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n39653,2021/09/25,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n39654,2021/09/26,I did weight lifting on 2021/09/26.,I did weight lifting on 2021/09/26.\n39655,2021/09/26,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n39656,2021/09/26,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n39657,2021/09/26,I ate indian food for dinner.,I ate indian food for dinner.\n39658,2021/09/26,I spent 46 talking to Lydia on various topics in the late afternoon.,I spent 46 talking to Lydia on various topics in the late afternoon.\n39659,2021/09/26,I spent 6 talking to Nora on various topics late in the evening.,I spent 6 talking to Nora on various topics late in the evening.\n39660,2021/09/26,\"I talked to Hazel, Kinsley for 5 minutes during lunch hours.\",\"I talked to Hazel, Kinsley for 5 minutes during lunch hours.\"\n39661,2021/09/26,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n39662,2021/09/26,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n39663,2021/09/27,I did biking on 2021/09/27.,I did biking on 2021/09/27.\n39664,2021/09/27,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n39665,2021/09/27,I had lunch with Andrew. I ate pasta.,I had lunch with Andrew. I ate pasta.\n39666,2021/09/27,I prepare pasta for dinner.,I prepare pasta for dinner.\n39667,2021/09/27,\"I talked to Claire, Kinsley, Piper for 54 minutes late in the evening.\",\"I talked to Claire, Kinsley, Piper for 54 minutes late in the evening.\"\n39668,2021/09/27,\"I talked to Piper, Rylee, Kinsley for 43 minutes in the morning.\",\"I talked to Piper, Rylee, Kinsley for 43 minutes in the morning.\"\n39669,2021/09/27,I spent 47 talking to Nora on various topics in the early afternoon.,I spent 47 talking to Nora on various topics in the early afternoon.\n39670,2021/09/27,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n39671,2021/09/27,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n39672,2021/09/28,I did weight lifting on 2021/09/28.,I did weight lifting on 2021/09/28.\n39673,2021/09/28,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n39674,2021/09/28,\"I had lunch with Nora, Olivia, Piper, Layla, Nevaeh, Claire, Hazel, Lydia. I ate pasta.\",\"I had lunch with Nora, Olivia, Piper, Layla, Nevaeh, Claire, Hazel, Lydia. I ate pasta.\"\n39675,2021/09/28,I prepare tacos for dinner.,I prepare tacos for dinner.\n39676,2021/09/28,\"I talked to Avery, Eva, Layla, Piper for 12 minutes late in the evening.\",\"I talked to Avery, Eva, Layla, Piper for 12 minutes late in the evening.\"\n39677,2021/09/28,\"I talked to Eva, Nevaeh, Hazel, Avery for 17 minutes late in the evening.\",\"I talked to Eva, Nevaeh, Hazel, Avery for 17 minutes late in the evening.\"\n39678,2021/09/28,\"I talked to Piper, Rylee for 17 minutes late in the evening.\",\"I talked to Piper, Rylee for 17 minutes late in the evening.\"\n39679,2021/09/28,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n39680,2021/09/28,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n39681,2021/09/29,\"On 2021/09/29, I took Jose on a date to a restaurant\",\"On 2021/09/29, I took Jose on a date to a restaurant\"\n39682,2021/09/29,I did weight lifting on 2021/09/29.,I did weight lifting on 2021/09/29.\n39683,2021/09/29,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n39684,2021/09/29,I had pasta for lunch with Kayden,I had pasta for lunch with Kayden\n39685,2021/09/29,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n39686,2021/09/29,\"I talked to Lydia, Hazel, Piper for 49 minutes in the late afternoon.\",\"I talked to Lydia, Hazel, Piper for 49 minutes in the late afternoon.\"\n39687,2021/09/29,I spent 24 talking to Olivia on various topics late in the evening.,I spent 24 talking to Olivia on various topics late in the evening.\n39688,2021/09/29,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n39689,2021/09/29,I spent 48 minutes watching a documentary on TV today.,I spent 48 minutes watching a documentary on TV today.\n39690,2021/09/30,I did swimming on 2021/09/30.,I did swimming on 2021/09/30.\n39691,2021/09/30,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n39692,2021/09/30,I ate sandwich for lunch.,I ate sandwich for lunch.\n39693,2021/09/30,\"I had dinner with Andrew, Kayden. I ate pasta.\",\"I had dinner with Andrew, Kayden. I ate pasta.\"\n39694,2021/09/30,\"I spent 25 talking to Eva, Olivia, Rylee on various topics late in the evening.\",\"I spent 25 talking to Eva, Olivia, Rylee on various topics late in the evening.\"\n39695,2021/09/30,\"I spent 28 talking to Layla, Nora, Eva on various topics during lunch hours.\",\"I spent 28 talking to Layla, Nora, Eva on various topics during lunch hours.\"\n39696,2021/09/30,I talked to Nora for 12 minutes in the early afternoon.,I talked to Nora for 12 minutes in the early afternoon.\n39697,2021/09/30,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n39698,2021/09/30,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n39699,2021/10/01,I did running on 2021/10/01.,I did running on 2021/10/01.\n39700,2021/10/01,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n39701,2021/10/01,\"I had a burger for lunch with Piper, Olivia, Piper, Kinsley, Nevaeh, Eva, Rylee, Layla, Lydia, Hazel, Avery, Nora, Claire\",\"I had a burger for lunch with Piper, Olivia, Piper, Kinsley, Nevaeh, Eva, Rylee, Layla, Lydia, Hazel, Avery, Nora, Claire\"\n39702,2021/10/01,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n39703,2021/10/01,\"I talked to Nevaeh, Avery, Kinsley for 30 minutes in the early afternoon.\",\"I talked to Nevaeh, Avery, Kinsley for 30 minutes in the early afternoon.\"\n39704,2021/10/01,\"I talked to Eva, Olivia for 7 minutes in the early evening.\",\"I talked to Eva, Olivia for 7 minutes in the early evening.\"\n39705,2021/10/01,I talked to Layla for 49 minutes in the morning.,I talked to Layla for 49 minutes in the morning.\n39706,2021/10/01,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n39707,2021/10/01,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n39708,2021/10/02,\"I went grocery shopping. I bought some guava, bananas, mango juice, sports drinks, and mouth wash, toothbrush, facial wash, conditioner\",\"I went grocery shopping. I bought some guava, bananas, mango juice, sports drinks, and mouth wash, toothbrush, facial wash, conditioner\"\n39709,2021/10/02,I did swimming on 2021/10/02.,I did swimming on 2021/10/02.\n39710,2021/10/02,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n39711,2021/10/02,\"I had lunch with Layla, Avery, Lydia, Piper, Kinsley, Piper, Nevaeh, Rylee, Nora, Claire, Olivia, Eva. I ate sushi.\",\"I had lunch with Layla, Avery, Lydia, Piper, Kinsley, Piper, Nevaeh, Rylee, Nora, Claire, Olivia, Eva. I ate sushi.\"\n39712,2021/10/02,\"I had tacos for dinner with Emily, Kayden\",\"I had tacos for dinner with Emily, Kayden\"\n39713,2021/10/02,\"I talked to Lydia, Nevaeh, Claire for 48 minutes in the late afternoon.\",\"I talked to Lydia, Nevaeh, Claire for 48 minutes in the late afternoon.\"\n39714,2021/10/02,\"I spent 40 talking to Nora, Piper on various topics during lunch hours.\",\"I spent 40 talking to Nora, Piper on various topics during lunch hours.\"\n39715,2021/10/02,\"I talked to Claire, Layla, Rylee, Avery for 5 minutes during lunch hours.\",\"I talked to Claire, Layla, Rylee, Avery for 5 minutes during lunch hours.\"\n39716,2021/10/02,\"I spent 26 talking to Nevaeh, Kinsley, Layla, Avery on various topics in the morning.\",\"I spent 26 talking to Nevaeh, Kinsley, Layla, Avery on various topics in the morning.\"\n39717,2021/10/02,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n39718,2021/10/02,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n39719,2021/10/03,I did running on 2021/10/03.,I did running on 2021/10/03.\n39720,2021/10/03,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n39721,2021/10/03,I prepare pasta for lunch.,I prepare pasta for lunch.\n39722,2021/10/03,\"I had dinner with Emily, Carter, Andrew. I ate a burger.\",\"I had dinner with Emily, Carter, Andrew. I ate a burger.\"\n39723,2021/10/03,\"I spent 34 talking to Olivia, Piper, Layla, Nora on various topics in the early evening.\",\"I spent 34 talking to Olivia, Piper, Layla, Nora on various topics in the early evening.\"\n39724,2021/10/03,\"I talked to Eva, Avery for 37 minutes in the early afternoon.\",\"I talked to Eva, Avery for 37 minutes in the early afternoon.\"\n39725,2021/10/03,\"I spent 45 talking to Nora, Avery on various topics during lunch hours.\",\"I spent 45 talking to Nora, Avery on various topics during lunch hours.\"\n39726,2021/10/03,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n39727,2021/10/03,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n39728,2021/10/04,I really enjoyed working out on 2021/10/04,I really enjoyed working out on 2021/10/04\n39729,2021/10/04,I did biking on 2021/10/04.,I did biking on 2021/10/04.\n39730,2021/10/04,\"I had breakfast with Carter, Andrew. I ate pancakes.\",\"I had breakfast with Carter, Andrew. I ate pancakes.\"\n39731,2021/10/04,I had lunch with Kayden. I ate pasta.,I had lunch with Kayden. I ate pasta.\n39732,2021/10/04,I ate a burger for dinner.,I ate a burger for dinner.\n39733,2021/10/04,\"I spent 27 talking to Rylee, Kinsley, Lydia, Layla on various topics during lunch hours.\",\"I spent 27 talking to Rylee, Kinsley, Lydia, Layla on various topics during lunch hours.\"\n39734,2021/10/04,\"I spent 37 talking to Nora, Avery, Rylee, Layla on various topics in the late afternoon.\",\"I spent 37 talking to Nora, Avery, Rylee, Layla on various topics in the late afternoon.\"\n39735,2021/10/04,\"I talked to Claire, Piper, Nevaeh for 46 minutes late in the evening.\",\"I talked to Claire, Piper, Nevaeh for 46 minutes late in the evening.\"\n39736,2021/10/04,\"I talked to Piper, Nora, Nevaeh for 5 minutes in the morning.\",\"I talked to Piper, Nora, Nevaeh for 5 minutes in the morning.\"\n39737,2021/10/04,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n39738,2021/10/04,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n39739,2021/10/05,I went on a date with Sarah on 2021/10/05 at a park,I went on a date with Sarah on 2021/10/05 at a park\n39740,2021/10/05,I did swimming on 2021/10/05.,I did swimming on 2021/10/05.\n39741,2021/10/05,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n39742,2021/10/05,\"I had indian food for lunch with Piper, Lydia, Hazel, Nevaeh, Avery\",\"I had indian food for lunch with Piper, Lydia, Hazel, Nevaeh, Avery\"\n39743,2021/10/05,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n39744,2021/10/05,\"I talked to Rylee, Kinsley, Lydia, Piper for 20 minutes during lunch hours.\",\"I talked to Rylee, Kinsley, Lydia, Piper for 20 minutes during lunch hours.\"\n39745,2021/10/05,I spent 24 talking to Nora on various topics in the early evening.,I spent 24 talking to Nora on various topics in the early evening.\n39746,2021/10/05,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n39747,2021/10/05,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n39748,2021/10/06,I did HIIT on 2021/10/06.,I did HIIT on 2021/10/06.\n39749,2021/10/06,\"I had eggs, sausages, and bread for breakfast with Rylee, Nora, Lydia\",\"I had eggs, sausages, and bread for breakfast with Rylee, Nora, Lydia\"\n39750,2021/10/06,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n39751,2021/10/06,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n39752,2021/10/06,\"I spent 35 talking to Rylee, Claire on various topics in the late afternoon.\",\"I spent 35 talking to Rylee, Claire on various topics in the late afternoon.\"\n39753,2021/10/06,I spent 42 talking to Avery on various topics late in the evening.,I spent 42 talking to Avery on various topics late in the evening.\n39754,2021/10/06,\"I spent 29 talking to Piper, Eva, Hazel on various topics in the morning.\",\"I spent 29 talking to Piper, Eva, Hazel on various topics in the morning.\"\n39755,2021/10/06,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n39756,2021/10/06,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n39757,2021/10/07,\"I bought some peaches, mango juice, apple juice, shampoo, mouth wash online.\",\"I bought some peaches, mango juice, apple juice, shampoo, mouth wash online.\"\n39758,2021/10/07,I did biking on 2021/10/07.,I did biking on 2021/10/07.\n39759,2021/10/07,\"I had peanut-butter-jam for breakfast with Jackson, Avery, Benjamin\",\"I had peanut-butter-jam for breakfast with Jackson, Avery, Benjamin\"\n39760,2021/10/07,\"I had lunch with Piper, Avery, Piper, Eva, Kinsley, Olivia, Hazel, Layla. I ate chinese food.\",\"I had lunch with Piper, Avery, Piper, Eva, Kinsley, Olivia, Hazel, Layla. I ate chinese food.\"\n39761,2021/10/07,\"I had dinner with Emily, Carter, Andrew. I ate tacos.\",\"I had dinner with Emily, Carter, Andrew. I ate tacos.\"\n39762,2021/10/07,\"I talked to Lydia, Piper for 43 minutes late in the evening.\",\"I talked to Lydia, Piper for 43 minutes late in the evening.\"\n39763,2021/10/07,\"I talked to Lydia, Piper, Layla, Hazel for 55 minutes during lunch hours.\",\"I talked to Lydia, Piper, Layla, Hazel for 55 minutes during lunch hours.\"\n39764,2021/10/07,\"I talked to Eva, Piper, Piper, Lydia for 15 minutes in the late afternoon.\",\"I talked to Eva, Piper, Piper, Lydia for 15 minutes in the late afternoon.\"\n39765,2021/10/07,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n39766,2021/10/07,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n39767,2021/10/08,I did weight lifting on 2021/10/08.,I did weight lifting on 2021/10/08.\n39768,2021/10/08,\"I had cereals for breakfast with Benjamin, Jackson\",\"I had cereals for breakfast with Benjamin, Jackson\"\n39769,2021/10/08,I had lunch. I ate steak.,I had lunch. I ate steak.\n39770,2021/10/08,I had dinner. I ate steak.,I had dinner. I ate steak.\n39771,2021/10/08,\"I spent 52 talking to Avery, Hazel on various topics in the late afternoon.\",\"I spent 52 talking to Avery, Hazel on various topics in the late afternoon.\"\n39772,2021/10/08,\"I spent 19 talking to Claire, Hazel on various topics late in the evening.\",\"I spent 19 talking to Claire, Hazel on various topics late in the evening.\"\n39773,2021/10/08,\"I talked to Layla, Olivia, Lydia, Piper for 29 minutes in the morning.\",\"I talked to Layla, Olivia, Lydia, Piper for 29 minutes in the morning.\"\n39774,2021/10/08,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n39775,2021/10/08,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n39776,2021/10/09,I went on a date with Camila on 2021/10/09 at a boba shop,I went on a date with Camila on 2021/10/09 at a boba shop\n39777,2021/10/09,\"I went grocery shopping with Willow, Jackson. I bought some blueberries, blackberries, mandarins, clementines, sports drinks, milk, mango juice, coffee, and paper towel, facial wash\",\"I went grocery shopping with Willow, Jackson. I bought some blueberries, blackberries, mandarins, clementines, sports drinks, milk, mango juice, coffee, and paper towel, facial wash\"\n39778,2021/10/09,I did HIIT on 2021/10/09.,I did HIIT on 2021/10/09.\n39779,2021/10/09,\"I had oatmeal for breakfast with Carter, Emily, Andrew\",\"I had oatmeal for breakfast with Carter, Emily, Andrew\"\n39780,2021/10/09,I ate sushi for lunch.,I ate sushi for lunch.\n39781,2021/10/09,I prepare steak for dinner.,I prepare steak for dinner.\n39782,2021/10/09,\"I spent 35 talking to Olivia, Rylee, Nora, Piper on various topics in the morning.\",\"I spent 35 talking to Olivia, Rylee, Nora, Piper on various topics in the morning.\"\n39783,2021/10/09,I talked to Nevaeh for 23 minutes in the early evening.,I talked to Nevaeh for 23 minutes in the early evening.\n39784,2021/10/09,I spent 48 talking to Nevaeh on various topics during lunch hours.,I spent 48 talking to Nevaeh on various topics during lunch hours.\n39785,2021/10/09,\"I spent 20 talking to Avery, Olivia, Nevaeh on various topics late in the evening.\",\"I spent 20 talking to Avery, Olivia, Nevaeh on various topics late in the evening.\"\n39786,2021/10/09,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n39787,2021/10/09,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n39788,2021/10/10,I did HIIT on 2021/10/10.,I did HIIT on 2021/10/10.\n39789,2021/10/10,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n39790,2021/10/10,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n39791,2021/10/10,I prepare sushi for dinner.,I prepare sushi for dinner.\n39792,2021/10/10,\"I spent 36 talking to Piper, Piper, Nevaeh on various topics in the early evening.\",\"I spent 36 talking to Piper, Piper, Nevaeh on various topics in the early evening.\"\n39793,2021/10/10,\"I spent 20 talking to Nora, Piper, Kinsley on various topics in the early afternoon.\",\"I spent 20 talking to Nora, Piper, Kinsley on various topics in the early afternoon.\"\n39794,2021/10/10,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n39795,2021/10/10,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n39796,2021/10/11,I went for an annual vision checkup on 2021/10/11 at the hospital.,I went for an annual vision checkup on 2021/10/11 at the hospital.\n39797,2021/10/11,I really enjoyed yoga on 2021/10/11,I really enjoyed yoga on 2021/10/11\n39798,2021/10/11,I did running on 2021/10/11.,I did running on 2021/10/11.\n39799,2021/10/11,\"I had oatmeal for breakfast with Kinsley, Lydia, Avery, Claire, Nora, Layla, Olivia, Piper, Nevaeh, Rylee, Eva, Piper\",\"I had oatmeal for breakfast with Kinsley, Lydia, Avery, Claire, Nora, Layla, Olivia, Piper, Nevaeh, Rylee, Eva, Piper\"\n39800,2021/10/11,\"I had lunch with Avery, Jackson, Benjamin. I ate sushi.\",\"I had lunch with Avery, Jackson, Benjamin. I ate sushi.\"\n39801,2021/10/11,\"I had dinner with Kayden, Andrew, Carter, Emily. I ate tacos.\",\"I had dinner with Kayden, Andrew, Carter, Emily. I ate tacos.\"\n39802,2021/10/11,\"I talked to Claire, Eva, Olivia for 10 minutes in the morning.\",\"I talked to Claire, Eva, Olivia for 10 minutes in the morning.\"\n39803,2021/10/11,\"I spent 34 talking to Avery, Nevaeh on various topics in the morning.\",\"I spent 34 talking to Avery, Nevaeh on various topics in the morning.\"\n39804,2021/10/11,\"I talked to Kinsley, Layla for 27 minutes in the late afternoon.\",\"I talked to Kinsley, Layla for 27 minutes in the late afternoon.\"\n39805,2021/10/11,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n39806,2021/10/11,I spent 30 minutes watching a movie on TV today.,I spent 30 minutes watching a movie on TV today.\n39807,2021/10/12,I did swimming on 2021/10/12.,I did swimming on 2021/10/12.\n39808,2021/10/12,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n39809,2021/10/12,\"I had lunch with Andrew, Carter. I ate pasta.\",\"I had lunch with Andrew, Carter. I ate pasta.\"\n39810,2021/10/12,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n39811,2021/10/12,I spent 32 talking to Olivia on various topics in the early evening.,I spent 32 talking to Olivia on various topics in the early evening.\n39812,2021/10/12,\"I talked to Eva, Kinsley, Hazel for 23 minutes in the morning.\",\"I talked to Eva, Kinsley, Hazel for 23 minutes in the morning.\"\n39813,2021/10/12,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n39814,2021/10/12,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n39815,2021/10/13,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n39816,2021/10/13,I prepare indian food for lunch.,I prepare indian food for lunch.\n39817,2021/10/13,I prepare pasta for dinner.,I prepare pasta for dinner.\n39818,2021/10/13,\"I spent 52 talking to Piper, Hazel, Rylee, Piper on various topics in the early evening.\",\"I spent 52 talking to Piper, Hazel, Rylee, Piper on various topics in the early evening.\"\n39819,2021/10/13,\"I talked to Olivia, Nora, Layla for 12 minutes in the morning.\",\"I talked to Olivia, Nora, Layla for 12 minutes in the morning.\"\n39820,2021/10/13,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n39821,2021/10/13,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n39822,2021/10/14,I went on a date with Nathan on 2021/10/14 at a coffee Shop,I went on a date with Nathan on 2021/10/14 at a coffee Shop\n39823,2021/10/14,I did swimming on 2021/10/14.,I did swimming on 2021/10/14.\n39824,2021/10/14,I had breakfast with Avery. I ate oatmeal.,I had breakfast with Avery. I ate oatmeal.\n39825,2021/10/14,\"I had lunch with Carter, Kayden, Emily, Andrew. I ate tacos.\",\"I had lunch with Carter, Kayden, Emily, Andrew. I ate tacos.\"\n39826,2021/10/14,\"I had tacos for dinner with Jackson, Avery, Benjamin, Willow\",\"I had tacos for dinner with Jackson, Avery, Benjamin, Willow\"\n39827,2021/10/14,\"I spent 53 talking to Kinsley, Claire, Eva on various topics in the morning.\",\"I spent 53 talking to Kinsley, Claire, Eva on various topics in the morning.\"\n39828,2021/10/14,I talked to Nevaeh for 39 minutes in the early evening.,I talked to Nevaeh for 39 minutes in the early evening.\n39829,2021/10/14,\"I talked to Olivia, Piper for 33 minutes in the early afternoon.\",\"I talked to Olivia, Piper for 33 minutes in the early afternoon.\"\n39830,2021/10/14,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n39831,2021/10/14,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n39832,2021/10/15,\"I spent time gardening on 2021/10/15 with Nevaeh, Layla, Hazel.\",\"I spent time gardening on 2021/10/15 with Nevaeh, Layla, Hazel.\"\n39833,2021/10/15,\"I had cereals for breakfast with Kinsley, Piper, Hazel, Lydia, Eva, Olivia, Layla, Nevaeh, Claire, Nora\",\"I had cereals for breakfast with Kinsley, Piper, Hazel, Lydia, Eva, Olivia, Layla, Nevaeh, Claire, Nora\"\n39834,2021/10/15,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n39835,2021/10/15,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n39836,2021/10/15,\"I spent 30 talking to Piper, Olivia, Nora, Layla on various topics in the early afternoon.\",\"I spent 30 talking to Piper, Olivia, Nora, Layla on various topics in the early afternoon.\"\n39837,2021/10/15,\"I spent 19 talking to Rylee, Layla, Claire on various topics in the early afternoon.\",\"I spent 19 talking to Rylee, Layla, Claire on various topics in the early afternoon.\"\n39838,2021/10/15,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n39839,2021/10/15,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n39840,2021/10/16,\"I went grocery shopping with Emily, Carter, Andrew. I bought some pineapples, clementines, oranges, strawberries, tea, and body lotion, toothpaste, paper towel, conditioner\",\"I went grocery shopping with Emily, Carter, Andrew. I bought some pineapples, clementines, oranges, strawberries, tea, and body lotion, toothpaste, paper towel, conditioner\"\n39841,2021/10/16,I did biking on 2021/10/16.,I did biking on 2021/10/16.\n39842,2021/10/16,I had breakfast with Emily. I ate toast and cheese.,I had breakfast with Emily. I ate toast and cheese.\n39843,2021/10/16,\"I had sandwich for lunch with Carter, Kayden, Emily\",\"I had sandwich for lunch with Carter, Kayden, Emily\"\n39844,2021/10/16,I ate sushi for dinner.,I ate sushi for dinner.\n39845,2021/10/16,\"I spent 10 talking to Hazel, Claire on various topics in the morning.\",\"I spent 10 talking to Hazel, Claire on various topics in the morning.\"\n39846,2021/10/16,\"I talked to Piper, Layla for 13 minutes during lunch hours.\",\"I talked to Piper, Layla for 13 minutes during lunch hours.\"\n39847,2021/10/16,\"I spent 13 talking to Piper, Olivia on various topics in the late afternoon.\",\"I spent 13 talking to Piper, Olivia on various topics in the late afternoon.\"\n39848,2021/10/16,\"I talked to Hazel, Olivia for 20 minutes in the early afternoon.\",\"I talked to Hazel, Olivia for 20 minutes in the early afternoon.\"\n39849,2021/10/16,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n39850,2021/10/16,I spent 38 minutes watching a movie on TV today.,I spent 38 minutes watching a movie on TV today.\n39851,2021/10/17,I did hiking on 2021/10/17.,I did hiking on 2021/10/17.\n39852,2021/10/17,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n39853,2021/10/17,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n39854,2021/10/17,\"I had a burger for dinner with Willow, Jackson\",\"I had a burger for dinner with Willow, Jackson\"\n39855,2021/10/17,\"I talked to Rylee, Nevaeh for 7 minutes in the early afternoon.\",\"I talked to Rylee, Nevaeh for 7 minutes in the early afternoon.\"\n39856,2021/10/17,\"I talked to Claire, Eva, Layla, Piper for 54 minutes in the late afternoon.\",\"I talked to Claire, Eva, Layla, Piper for 54 minutes in the late afternoon.\"\n39857,2021/10/17,\"I talked to Layla, Kinsley for 16 minutes in the morning.\",\"I talked to Layla, Kinsley for 16 minutes in the morning.\"\n39858,2021/10/17,\"I spent 47 talking to Eva, Layla, Olivia, Nevaeh on various topics late in the evening.\",\"I spent 47 talking to Eva, Layla, Olivia, Nevaeh on various topics late in the evening.\"\n39859,2021/10/17,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n39860,2021/10/17,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n39861,2021/10/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n39862,2021/10/18,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n39863,2021/10/18,I had dinner. I ate steak.,I had dinner. I ate steak.\n39864,2021/10/18,\"I talked to Hazel, Lydia, Piper, Kinsley for 22 minutes late in the evening.\",\"I talked to Hazel, Lydia, Piper, Kinsley for 22 minutes late in the evening.\"\n39865,2021/10/18,\"I talked to Olivia, Piper for 27 minutes during lunch hours.\",\"I talked to Olivia, Piper for 27 minutes during lunch hours.\"\n39866,2021/10/18,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n39867,2021/10/18,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n39868,2021/10/19,I went on a date with Willow on 2021/10/19 at a restaurant,I went on a date with Willow on 2021/10/19 at a restaurant\n39869,2021/10/19,\"I went grocery shopping with Emily, Kayden. I bought some guava, apple juice, coffee, soda, tea, and toilet paper\",\"I went grocery shopping with Emily, Kayden. I bought some guava, apple juice, coffee, soda, tea, and toilet paper\"\n39870,2021/10/19,I did hiking on 2021/10/19.,I did hiking on 2021/10/19.\n39871,2021/10/19,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n39872,2021/10/19,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n39873,2021/10/19,I ate steak for dinner.,I ate steak for dinner.\n39874,2021/10/19,\"I spent 18 talking to Kinsley, Piper, Hazel on various topics late in the evening.\",\"I spent 18 talking to Kinsley, Piper, Hazel on various topics late in the evening.\"\n39875,2021/10/19,\"I talked to Nora, Hazel, Nevaeh for 16 minutes in the early evening.\",\"I talked to Nora, Hazel, Nevaeh for 16 minutes in the early evening.\"\n39876,2021/10/19,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n39877,2021/10/19,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n39878,2021/10/20,I did biking on 2021/10/20.,I did biking on 2021/10/20.\n39879,2021/10/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n39880,2021/10/20,I ate steak for lunch.,I ate steak for lunch.\n39881,2021/10/20,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n39882,2021/10/20,\"I talked to Avery, Hazel for 19 minutes in the early evening.\",\"I talked to Avery, Hazel for 19 minutes in the early evening.\"\n39883,2021/10/20,\"I spent 18 talking to Kinsley, Nevaeh, Claire, Olivia on various topics in the late afternoon.\",\"I spent 18 talking to Kinsley, Nevaeh, Claire, Olivia on various topics in the late afternoon.\"\n39884,2021/10/20,I talked to Nora for 32 minutes during lunch hours.,I talked to Nora for 32 minutes during lunch hours.\n39885,2021/10/20,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n39886,2021/10/20,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n39887,2021/10/21,I did weight lifting on 2021/10/21.,I did weight lifting on 2021/10/21.\n39888,2021/10/21,I ate cereals for breakfast.,I ate cereals for breakfast.\n39889,2021/10/21,I prepare sushi for lunch.,I prepare sushi for lunch.\n39890,2021/10/21,\"I had pasta for dinner with Avery, Willow, Jackson\",\"I had pasta for dinner with Avery, Willow, Jackson\"\n39891,2021/10/21,I spent 45 talking to Hazel on various topics in the early afternoon.,I spent 45 talking to Hazel on various topics in the early afternoon.\n39892,2021/10/21,\"I talked to Kinsley, Rylee, Lydia, Nevaeh for 37 minutes in the early afternoon.\",\"I talked to Kinsley, Rylee, Lydia, Nevaeh for 37 minutes in the early afternoon.\"\n39893,2021/10/21,I spent 30 talking to Piper on various topics in the morning.,I spent 30 talking to Piper on various topics in the morning.\n39894,2021/10/21,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n39895,2021/10/21,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n39896,2021/10/22,I did running on 2021/10/22.,I did running on 2021/10/22.\n39897,2021/10/22,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n39898,2021/10/22,\"I had lunch with Benjamin, Willow, Jackson. I ate chinese food.\",\"I had lunch with Benjamin, Willow, Jackson. I ate chinese food.\"\n39899,2021/10/22,I ate indian food for dinner.,I ate indian food for dinner.\n39900,2021/10/22,I spent 53 talking to Avery on various topics in the morning.,I spent 53 talking to Avery on various topics in the morning.\n39901,2021/10/22,\"I talked to Nevaeh, Rylee, Eva for 19 minutes in the late afternoon.\",\"I talked to Nevaeh, Rylee, Eva for 19 minutes in the late afternoon.\"\n39902,2021/10/22,\"I talked to Piper, Avery for 27 minutes late in the evening.\",\"I talked to Piper, Avery for 27 minutes late in the evening.\"\n39903,2021/10/22,I spent 41 talking to Kinsley on various topics in the late afternoon.,I spent 41 talking to Kinsley on various topics in the late afternoon.\n39904,2021/10/22,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n39905,2021/10/22,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n39906,2021/10/23,\"I bought some mangos, bananas, apricots, raspberries, mango juice, mouthwash online.\",\"I bought some mangos, bananas, apricots, raspberries, mango juice, mouthwash online.\"\n39907,2021/10/23,I did HIIT on 2021/10/23.,I did HIIT on 2021/10/23.\n39908,2021/10/23,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n39909,2021/10/23,\"I had lunch with Andrew, Kayden, Emily. I ate sandwich.\",\"I had lunch with Andrew, Kayden, Emily. I ate sandwich.\"\n39910,2021/10/23,I ate chinese food for dinner.,I ate chinese food for dinner.\n39911,2021/10/23,\"I spent 22 talking to Nevaeh, Kinsley on various topics in the early afternoon.\",\"I spent 22 talking to Nevaeh, Kinsley on various topics in the early afternoon.\"\n39912,2021/10/23,\"I talked to Rylee, Hazel for 29 minutes in the morning.\",\"I talked to Rylee, Hazel for 29 minutes in the morning.\"\n39913,2021/10/23,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n39914,2021/10/23,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n39915,2021/10/24,I spent time meditation on 2021/10/24 with Benjamin.,I spent time meditation on 2021/10/24 with Benjamin.\n39916,2021/10/24,I did weight lifting on 2021/10/24.,I did weight lifting on 2021/10/24.\n39917,2021/10/24,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n39918,2021/10/24,\"I had steak for lunch with Jackson, Avery, Willow, Benjamin\",\"I had steak for lunch with Jackson, Avery, Willow, Benjamin\"\n39919,2021/10/24,\"I had a burger for dinner with Andrew, Carter\",\"I had a burger for dinner with Andrew, Carter\"\n39920,2021/10/24,I talked to Rylee for 52 minutes in the early evening.,I talked to Rylee for 52 minutes in the early evening.\n39921,2021/10/24,\"I talked to Piper, Nevaeh for 12 minutes in the late afternoon.\",\"I talked to Piper, Nevaeh for 12 minutes in the late afternoon.\"\n39922,2021/10/24,\"I spent 38 talking to Avery, Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 38 talking to Avery, Piper, Nevaeh on various topics in the early afternoon.\"\n39923,2021/10/24,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n39924,2021/10/24,I watched news for 5 minutes on TV today.,I watched news for 5 minutes on TV today.\n39925,2021/10/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n39926,2021/10/25,\"I had sushi for lunch with Piper, Layla, Olivia\",\"I had sushi for lunch with Piper, Layla, Olivia\"\n39927,2021/10/25,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n39928,2021/10/25,\"I spent 52 talking to Piper, Layla on various topics in the late afternoon.\",\"I spent 52 talking to Piper, Layla on various topics in the late afternoon.\"\n39929,2021/10/25,\"I talked to Lydia, Claire for 39 minutes in the morning.\",\"I talked to Lydia, Claire for 39 minutes in the morning.\"\n39930,2021/10/25,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n39931,2021/10/25,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n39932,2021/10/26,I did swimming on 2021/10/26.,I did swimming on 2021/10/26.\n39933,2021/10/26,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n39934,2021/10/26,I ate tacos for lunch.,I ate tacos for lunch.\n39935,2021/10/26,I had dinner with Andrew. I ate tacos.,I had dinner with Andrew. I ate tacos.\n39936,2021/10/26,\"I talked to Kinsley, Hazel, Lydia for 53 minutes in the early evening.\",\"I talked to Kinsley, Hazel, Lydia for 53 minutes in the early evening.\"\n39937,2021/10/26,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n39938,2021/10/26,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n39939,2021/10/27,\"I really enjoyed baking chocolate-chip mug brownie, easy cherry skillet cake, chocolate chip cookie in a mug on 2021/10/27 with Piper at my place\",\"I really enjoyed baking chocolate-chip mug brownie, easy cherry skillet cake, chocolate chip cookie in a mug on 2021/10/27 with Piper at my place\"\n39940,2021/10/27,\"On 2021/10/27, I took Stella on a date to a coffee Shop\",\"On 2021/10/27, I took Stella on a date to a coffee Shop\"\n39941,2021/10/27,I did weight lifting on 2021/10/27.,I did weight lifting on 2021/10/27.\n39942,2021/10/27,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n39943,2021/10/27,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n39944,2021/10/27,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n39945,2021/10/27,I spent 41 talking to Kinsley on various topics in the early evening.,I spent 41 talking to Kinsley on various topics in the early evening.\n39946,2021/10/27,\"I spent 48 talking to Hazel, Lydia, Nora on various topics late in the evening.\",\"I spent 48 talking to Hazel, Lydia, Nora on various topics late in the evening.\"\n39947,2021/10/27,\"I spent 26 talking to Nora, Nevaeh on various topics in the early evening.\",\"I spent 26 talking to Nora, Nevaeh on various topics in the early evening.\"\n39948,2021/10/27,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n39949,2021/10/27,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n39950,2021/10/28,\"I went grocery shopping. I bought some blackberries, soda, guava juice, mango juice, milk, and shampoo, mouthwash\",\"I went grocery shopping. I bought some blackberries, soda, guava juice, mango juice, milk, and shampoo, mouthwash\"\n39951,2021/10/28,I did running on 2021/10/28.,I did running on 2021/10/28.\n39952,2021/10/28,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n39953,2021/10/28,I ate indian food for lunch.,I ate indian food for lunch.\n39954,2021/10/28,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n39955,2021/10/28,\"I talked to Nevaeh, Kinsley for 32 minutes in the late afternoon.\",\"I talked to Nevaeh, Kinsley for 32 minutes in the late afternoon.\"\n39956,2021/10/28,\"I spent 33 talking to Piper, Rylee on various topics late in the evening.\",\"I spent 33 talking to Piper, Rylee on various topics late in the evening.\"\n39957,2021/10/28,I spent 17 talking to Eva on various topics in the early evening.,I spent 17 talking to Eva on various topics in the early evening.\n39958,2021/10/28,I spent 45 talking to Piper on various topics in the early evening.,I spent 45 talking to Piper on various topics in the early evening.\n39959,2021/10/28,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n39960,2021/10/28,I watched news for 5 minutes on TV today.,I watched news for 5 minutes on TV today.\n39961,2021/10/29,\"On 2021/10/29, I took Ellie on a date to a boba shop\",\"On 2021/10/29, I took Ellie on a date to a boba shop\"\n39962,2021/10/29,I did HIIT on 2021/10/29.,I did HIIT on 2021/10/29.\n39963,2021/10/29,\"I had toast and cheese for breakfast with Kayden, Carter, Andrew, Emily\",\"I had toast and cheese for breakfast with Kayden, Carter, Andrew, Emily\"\n39964,2021/10/29,I had lunch with Emily. I ate chinese food.,I had lunch with Emily. I ate chinese food.\n39965,2021/10/29,I prepare a burger for dinner.,I prepare a burger for dinner.\n39966,2021/10/29,I spent 19 talking to Avery on various topics in the early afternoon.,I spent 19 talking to Avery on various topics in the early afternoon.\n39967,2021/10/29,\"I talked to Piper, Piper, Nevaeh, Avery for 11 minutes during lunch hours.\",\"I talked to Piper, Piper, Nevaeh, Avery for 11 minutes during lunch hours.\"\n39968,2021/10/29,\"I spent 8 talking to Piper, Avery, Olivia on various topics late in the evening.\",\"I spent 8 talking to Piper, Avery, Olivia on various topics late in the evening.\"\n39969,2021/10/29,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n39970,2021/10/29,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n39971,2021/10/30,I did weight lifting on 2021/10/30.,I did weight lifting on 2021/10/30.\n39972,2021/10/30,\"I had eggs, sausages, and bread for breakfast with Emily, Kayden, Andrew\",\"I had eggs, sausages, and bread for breakfast with Emily, Kayden, Andrew\"\n39973,2021/10/30,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n39974,2021/10/30,I prepare sushi for dinner.,I prepare sushi for dinner.\n39975,2021/10/30,\"I spent 24 talking to Hazel, Nevaeh, Lydia, Kinsley on various topics late in the evening.\",\"I spent 24 talking to Hazel, Nevaeh, Lydia, Kinsley on various topics late in the evening.\"\n39976,2021/10/30,\"I spent 17 talking to Piper, Nora, Nevaeh, Avery on various topics in the early afternoon.\",\"I spent 17 talking to Piper, Nora, Nevaeh, Avery on various topics in the early afternoon.\"\n39977,2021/10/30,I talked to Olivia for 25 minutes in the early evening.,I talked to Olivia for 25 minutes in the early evening.\n39978,2021/10/30,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n39979,2021/10/30,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n39980,2021/10/31,\"I bought some strawberries, pineapples, guava, apple juice, sports drinks, mineral water, shaving cream, body lotion, toilet paper, shampoo online.\",\"I bought some strawberries, pineapples, guava, apple juice, sports drinks, mineral water, shaving cream, body lotion, toilet paper, shampoo online.\"\n39981,2021/10/31,I did running on 2021/10/31.,I did running on 2021/10/31.\n39982,2021/10/31,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n39983,2021/10/31,I had lunch. I ate steak.,I had lunch. I ate steak.\n39984,2021/10/31,I prepare a burger for dinner.,I prepare a burger for dinner.\n39985,2021/10/31,I spent 5 talking to Piper on various topics in the late afternoon.,I spent 5 talking to Piper on various topics in the late afternoon.\n39986,2021/10/31,\"I spent 18 talking to Avery, Layla, Lydia on various topics in the morning.\",\"I spent 18 talking to Avery, Layla, Lydia on various topics in the morning.\"\n39987,2021/10/31,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n39988,2021/10/31,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n39989,2021/11/01,I went on a date with Penelope on 2021/11/01 at a coffee Shop,I went on a date with Penelope on 2021/11/01 at a coffee Shop\n39990,2021/11/01,I did biking on 2021/11/01.,I did biking on 2021/11/01.\n39991,2021/11/01,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n39992,2021/11/01,\"I had lunch with Olivia, Nora, Layla, Avery, Kinsley, Eva, Piper, Hazel, Piper, Nevaeh, Rylee. I ate a burger.\",\"I had lunch with Olivia, Nora, Layla, Avery, Kinsley, Eva, Piper, Hazel, Piper, Nevaeh, Rylee. I ate a burger.\"\n39993,2021/11/01,\"I had dinner with Emily, Kayden, Andrew, Carter. I ate sushi.\",\"I had dinner with Emily, Kayden, Andrew, Carter. I ate sushi.\"\n39994,2021/11/01,\"I spent 12 talking to Nora, Piper, Lydia, Layla on various topics in the late afternoon.\",\"I spent 12 talking to Nora, Piper, Lydia, Layla on various topics in the late afternoon.\"\n39995,2021/11/01,I spent 22 talking to Piper on various topics in the early evening.,I spent 22 talking to Piper on various topics in the early evening.\n39996,2021/11/01,\"I talked to Eva, Lydia, Hazel for 9 minutes during lunch hours.\",\"I talked to Eva, Lydia, Hazel for 9 minutes during lunch hours.\"\n39997,2021/11/01,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n39998,2021/11/01,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n39999,2021/11/02,\"I spent time yoga on 2021/11/02 with Willow, Benjamin, Jackson.\",\"I spent time yoga on 2021/11/02 with Willow, Benjamin, Jackson.\"\n40000,2021/11/02,I did swimming on 2021/11/02.,I did swimming on 2021/11/02.\n40001,2021/11/02,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n40002,2021/11/02,I ate sushi for lunch.,I ate sushi for lunch.\n40003,2021/11/02,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n40004,2021/11/02,\"I spent 39 talking to Avery, Piper, Layla on various topics late in the evening.\",\"I spent 39 talking to Avery, Piper, Layla on various topics late in the evening.\"\n40005,2021/11/02,\"I spent 34 talking to Lydia, Nora on various topics in the late afternoon.\",\"I spent 34 talking to Lydia, Nora on various topics in the late afternoon.\"\n40006,2021/11/02,\"I spent 41 talking to Piper, Lydia, Avery, Olivia on various topics in the morning.\",\"I spent 41 talking to Piper, Lydia, Avery, Olivia on various topics in the morning.\"\n40007,2021/11/02,\"I talked to Hazel, Eva, Kinsley, Olivia for 55 minutes in the early evening.\",\"I talked to Hazel, Eva, Kinsley, Olivia for 55 minutes in the early evening.\"\n40008,2021/11/02,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n40009,2021/11/02,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n40010,2021/11/03,\"I bought some blackberries, chocolate milk, mineral water, conditioner online.\",\"I bought some blackberries, chocolate milk, mineral water, conditioner online.\"\n40011,2021/11/03,I did weight lifting on 2021/11/03.,I did weight lifting on 2021/11/03.\n40012,2021/11/03,\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate eggs, sausages, and bread.\"\n40013,2021/11/03,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n40014,2021/11/03,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n40015,2021/11/03,\"I spent 51 talking to Piper, Piper on various topics in the early evening.\",\"I spent 51 talking to Piper, Piper on various topics in the early evening.\"\n40016,2021/11/03,\"I spent 40 talking to Layla, Avery on various topics in the early evening.\",\"I spent 40 talking to Layla, Avery on various topics in the early evening.\"\n40017,2021/11/03,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n40018,2021/11/03,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n40019,2021/11/04,I did hiking on 2021/11/04.,I did hiking on 2021/11/04.\n40020,2021/11/04,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n40021,2021/11/04,\"I had tacos for lunch with Claire, Lydia, Piper, Olivia, Nevaeh, Avery, Piper, Rylee, Kinsley, Hazel, Nora\",\"I had tacos for lunch with Claire, Lydia, Piper, Olivia, Nevaeh, Avery, Piper, Rylee, Kinsley, Hazel, Nora\"\n40022,2021/11/04,\"I had dinner with Andrew, Kayden. I ate a burger.\",\"I had dinner with Andrew, Kayden. I ate a burger.\"\n40023,2021/11/04,\"I spent 49 talking to Avery, Olivia, Rylee on various topics in the early evening.\",\"I spent 49 talking to Avery, Olivia, Rylee on various topics in the early evening.\"\n40024,2021/11/04,\"I talked to Eva, Olivia, Avery for 52 minutes in the late afternoon.\",\"I talked to Eva, Olivia, Avery for 52 minutes in the late afternoon.\"\n40025,2021/11/04,I talked to Lydia for 32 minutes in the late afternoon.,I talked to Lydia for 32 minutes in the late afternoon.\n40026,2021/11/04,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n40027,2021/11/04,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n40028,2021/11/05,\"I spent time working out on 2021/11/05 with Rylee, Eva, Claire.\",\"I spent time working out on 2021/11/05 with Rylee, Eva, Claire.\"\n40029,2021/11/05,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n40030,2021/11/05,I had indian food for lunch with Emily,I had indian food for lunch with Emily\n40031,2021/11/05,I prepare steak for dinner.,I prepare steak for dinner.\n40032,2021/11/05,\"I spent 37 talking to Lydia, Piper, Piper on various topics in the morning.\",\"I spent 37 talking to Lydia, Piper, Piper on various topics in the morning.\"\n40033,2021/11/05,\"I spent 43 talking to Nevaeh, Nora, Hazel on various topics during lunch hours.\",\"I spent 43 talking to Nevaeh, Nora, Hazel on various topics during lunch hours.\"\n40034,2021/11/05,\"I spent 15 talking to Avery, Piper on various topics in the early evening.\",\"I spent 15 talking to Avery, Piper on various topics in the early evening.\"\n40035,2021/11/05,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n40036,2021/11/05,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n40037,2021/11/06,I did weight lifting on 2021/11/06.,I did weight lifting on 2021/11/06.\n40038,2021/11/06,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n40039,2021/11/06,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n40040,2021/11/06,\"I had dinner with Kayden, Carter, Andrew, Emily. I ate indian food.\",\"I had dinner with Kayden, Carter, Andrew, Emily. I ate indian food.\"\n40041,2021/11/06,\"I spent 10 talking to Nora, Eva on various topics late in the evening.\",\"I spent 10 talking to Nora, Eva on various topics late in the evening.\"\n40042,2021/11/06,\"I spent 26 talking to Avery, Rylee on various topics in the morning.\",\"I spent 26 talking to Avery, Rylee on various topics in the morning.\"\n40043,2021/11/06,\"I spent 48 talking to Rylee, Nora, Hazel on various topics in the early evening.\",\"I spent 48 talking to Rylee, Nora, Hazel on various topics in the early evening.\"\n40044,2021/11/06,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n40045,2021/11/06,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n40046,2021/11/07,I went on a date with Natalia on 2021/11/07 at a boba shop,I went on a date with Natalia on 2021/11/07 at a boba shop\n40047,2021/11/07,I did hiking on 2021/11/07.,I did hiking on 2021/11/07.\n40048,2021/11/07,\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate pancakes.\",\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate pancakes.\"\n40049,2021/11/07,\"I had indian food for lunch with Emily, Carter\",\"I had indian food for lunch with Emily, Carter\"\n40050,2021/11/07,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n40051,2021/11/07,I spent 26 talking to Piper on various topics late in the evening.,I spent 26 talking to Piper on various topics late in the evening.\n40052,2021/11/07,I talked to Hazel for 8 minutes in the morning.,I talked to Hazel for 8 minutes in the morning.\n40053,2021/11/07,\"I talked to Lydia, Nora for 14 minutes in the morning.\",\"I talked to Lydia, Nora for 14 minutes in the morning.\"\n40054,2021/11/07,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n40055,2021/11/07,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n40056,2021/11/08,I did swimming on 2021/11/08.,I did swimming on 2021/11/08.\n40057,2021/11/08,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n40058,2021/11/08,\"I had chinese food for lunch with Hazel, Layla, Olivia, Avery, Lydia, Piper, Eva, Claire\",\"I had chinese food for lunch with Hazel, Layla, Olivia, Avery, Lydia, Piper, Eva, Claire\"\n40059,2021/11/08,I ate tacos for dinner.,I ate tacos for dinner.\n40060,2021/11/08,\"I talked to Eva, Lydia, Nevaeh for 7 minutes in the early evening.\",\"I talked to Eva, Lydia, Nevaeh for 7 minutes in the early evening.\"\n40061,2021/11/08,\"I spent 33 talking to Olivia, Nora on various topics during lunch hours.\",\"I spent 33 talking to Olivia, Nora on various topics during lunch hours.\"\n40062,2021/11/08,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n40063,2021/11/08,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n40064,2021/11/09,I did biking on 2021/11/09.,I did biking on 2021/11/09.\n40065,2021/11/09,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n40066,2021/11/09,\"I had tacos for lunch with Kayden, Carter\",\"I had tacos for lunch with Kayden, Carter\"\n40067,2021/11/09,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n40068,2021/11/09,I talked to Layla for 51 minutes in the morning.,I talked to Layla for 51 minutes in the morning.\n40069,2021/11/09,\"I spent 26 talking to Layla, Lydia, Nora on various topics during lunch hours.\",\"I spent 26 talking to Layla, Lydia, Nora on various topics during lunch hours.\"\n40070,2021/11/09,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n40071,2021/11/09,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n40072,2021/11/10,I did hiking on 2021/11/10.,I did hiking on 2021/11/10.\n40073,2021/11/10,\"I had breakfast with Willow, Jackson, Avery. I ate pancakes.\",\"I had breakfast with Willow, Jackson, Avery. I ate pancakes.\"\n40074,2021/11/10,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n40075,2021/11/10,\"I had fish and chips for dinner with Eva, Lydia, Avery, Rylee, Piper, Hazel, Nora, Olivia, Piper, Kinsley, Claire, Layla, Nevaeh\",\"I had fish and chips for dinner with Eva, Lydia, Avery, Rylee, Piper, Hazel, Nora, Olivia, Piper, Kinsley, Claire, Layla, Nevaeh\"\n40076,2021/11/10,I talked to Hazel for 21 minutes late in the evening.,I talked to Hazel for 21 minutes late in the evening.\n40077,2021/11/10,\"I spent 34 talking to Kinsley, Eva, Claire on various topics during lunch hours.\",\"I spent 34 talking to Kinsley, Eva, Claire on various topics during lunch hours.\"\n40078,2021/11/10,\"I talked to Nora, Kinsley for 50 minutes in the early evening.\",\"I talked to Nora, Kinsley for 50 minutes in the early evening.\"\n40079,2021/11/10,\"I spent 28 talking to Claire, Olivia, Layla, Rylee on various topics in the early afternoon.\",\"I spent 28 talking to Claire, Olivia, Layla, Rylee on various topics in the early afternoon.\"\n40080,2021/11/10,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n40081,2021/11/10,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n40082,2021/11/11,\"I bought some mangos, apples, blueberries, mineral water, paper towel, shaving cream, facial wash, mouth wash online.\",\"I bought some mangos, apples, blueberries, mineral water, paper towel, shaving cream, facial wash, mouth wash online.\"\n40083,2021/11/11,I did weight lifting on 2021/11/11.,I did weight lifting on 2021/11/11.\n40084,2021/11/11,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n40085,2021/11/11,\"I had chinese food for lunch with Carter, Andrew, Kayden\",\"I had chinese food for lunch with Carter, Andrew, Kayden\"\n40086,2021/11/11,\"I had dinner with Claire, Layla, Olivia, Kinsley, Piper, Piper. I ate tacos.\",\"I had dinner with Claire, Layla, Olivia, Kinsley, Piper, Piper. I ate tacos.\"\n40087,2021/11/11,\"I talked to Claire, Olivia for 23 minutes in the early evening.\",\"I talked to Claire, Olivia for 23 minutes in the early evening.\"\n40088,2021/11/11,I spent 25 talking to Eva on various topics in the early afternoon.,I spent 25 talking to Eva on various topics in the early afternoon.\n40089,2021/11/11,I talked to Avery for 23 minutes in the early evening.,I talked to Avery for 23 minutes in the early evening.\n40090,2021/11/11,\"I spent 42 talking to Avery, Hazel, Eva on various topics in the early afternoon.\",\"I spent 42 talking to Avery, Hazel, Eva on various topics in the early afternoon.\"\n40091,2021/11/11,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n40092,2021/11/11,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n40093,2021/11/12,I did HIIT on 2021/11/12.,I did HIIT on 2021/11/12.\n40094,2021/11/12,\"I had toast and cheese for breakfast with Nevaeh, Layla\",\"I had toast and cheese for breakfast with Nevaeh, Layla\"\n40095,2021/11/12,\"I had lunch with Benjamin, Jackson, Avery. I ate sushi.\",\"I had lunch with Benjamin, Jackson, Avery. I ate sushi.\"\n40096,2021/11/12,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n40097,2021/11/12,\"I talked to Hazel, Nevaeh, Lydia for 41 minutes during lunch hours.\",\"I talked to Hazel, Nevaeh, Lydia for 41 minutes during lunch hours.\"\n40098,2021/11/12,\"I spent 23 talking to Eva, Nora, Nevaeh on various topics in the early evening.\",\"I spent 23 talking to Eva, Nora, Nevaeh on various topics in the early evening.\"\n40099,2021/11/12,I spent 17 talking to Piper on various topics in the early evening.,I spent 17 talking to Piper on various topics in the early evening.\n40100,2021/11/12,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n40101,2021/11/12,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n40102,2021/11/13,I did swimming on 2021/11/13.,I did swimming on 2021/11/13.\n40103,2021/11/13,I had breakfast with Carter. I ate pancakes.,I had breakfast with Carter. I ate pancakes.\n40104,2021/11/13,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n40105,2021/11/13,\"I had pasta for dinner with Andrew, Kayden, Emily\",\"I had pasta for dinner with Andrew, Kayden, Emily\"\n40106,2021/11/13,\"I talked to Piper, Eva, Nevaeh for 11 minutes in the early afternoon.\",\"I talked to Piper, Eva, Nevaeh for 11 minutes in the early afternoon.\"\n40107,2021/11/13,I talked to Hazel for 33 minutes in the late afternoon.,I talked to Hazel for 33 minutes in the late afternoon.\n40108,2021/11/13,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n40109,2021/11/13,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n40110,2021/11/14,\"I bought some pineapples, milk, apple juice, orange juice, toothpaste, mouthwash, shaving cream, conditioner from the grocery store. I saw Benjamin, Avery, Willow at the grocery store.\",\"I bought some pineapples, milk, apple juice, orange juice, toothpaste, mouthwash, shaving cream, conditioner from the grocery store. I saw Benjamin, Avery, Willow at the grocery store.\"\n40111,2021/11/14,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n40112,2021/11/14,\"I had lunch with Andrew, Carter, Emily, Kayden. I ate indian food.\",\"I had lunch with Andrew, Carter, Emily, Kayden. I ate indian food.\"\n40113,2021/11/14,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n40114,2021/11/14,I talked to Hazel for 21 minutes in the morning.,I talked to Hazel for 21 minutes in the morning.\n40115,2021/11/14,\"I talked to Hazel, Piper for 53 minutes in the early afternoon.\",\"I talked to Hazel, Piper for 53 minutes in the early afternoon.\"\n40116,2021/11/14,\"I talked to Rylee, Lydia, Olivia, Kinsley for 15 minutes in the late afternoon.\",\"I talked to Rylee, Lydia, Olivia, Kinsley for 15 minutes in the late afternoon.\"\n40117,2021/11/14,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n40118,2021/11/14,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n40119,2021/11/15,I did HIIT on 2021/11/15.,I did HIIT on 2021/11/15.\n40120,2021/11/15,\"I had breakfast with Carter, Emily, Kayden. I ate toast and cheese.\",\"I had breakfast with Carter, Emily, Kayden. I ate toast and cheese.\"\n40121,2021/11/15,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n40122,2021/11/15,I had tacos for dinner with Claire,I had tacos for dinner with Claire\n40123,2021/11/15,\"I talked to Hazel, Rylee, Claire for 18 minutes in the early afternoon.\",\"I talked to Hazel, Rylee, Claire for 18 minutes in the early afternoon.\"\n40124,2021/11/15,\"I talked to Piper, Hazel for 12 minutes in the early afternoon.\",\"I talked to Piper, Hazel for 12 minutes in the early afternoon.\"\n40125,2021/11/15,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n40126,2021/11/15,I spent 30 minutes watching a tv series on TV today.,I spent 30 minutes watching a tv series on TV today.\n40127,2021/11/16,I did swimming on 2021/11/16.,I did swimming on 2021/11/16.\n40128,2021/11/16,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n40129,2021/11/16,I ate pasta for lunch.,I ate pasta for lunch.\n40130,2021/11/16,\"I had pasta for dinner with Carter, Andrew, Emily, Kayden\",\"I had pasta for dinner with Carter, Andrew, Emily, Kayden\"\n40131,2021/11/16,\"I spent 22 talking to Eva, Piper on various topics in the early afternoon.\",\"I spent 22 talking to Eva, Piper on various topics in the early afternoon.\"\n40132,2021/11/16,\"I spent 27 talking to Piper, Nora, Lydia on various topics late in the evening.\",\"I spent 27 talking to Piper, Nora, Lydia on various topics late in the evening.\"\n40133,2021/11/16,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n40134,2021/11/16,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n40135,2021/11/17,I spent some time meditation on 2021/11/17.,I spent some time meditation on 2021/11/17.\n40136,2021/11/17,\"I bought some mandarins, nectarines, guava juice, sports drinks, pineapple juice, toothpaste, mouth wash, body lotion, conditioner online.\",\"I bought some mandarins, nectarines, guava juice, sports drinks, pineapple juice, toothpaste, mouth wash, body lotion, conditioner online.\"\n40137,2021/11/17,I did hiking on 2021/11/17.,I did hiking on 2021/11/17.\n40138,2021/11/17,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n40139,2021/11/17,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n40140,2021/11/17,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n40141,2021/11/17,I spent 34 talking to Layla on various topics during lunch hours.,I spent 34 talking to Layla on various topics during lunch hours.\n40142,2021/11/17,\"I spent 40 talking to Piper, Rylee on various topics in the early afternoon.\",\"I spent 40 talking to Piper, Rylee on various topics in the early afternoon.\"\n40143,2021/11/17,\"I spent 32 talking to Nevaeh, Piper, Layla on various topics in the late afternoon.\",\"I spent 32 talking to Nevaeh, Piper, Layla on various topics in the late afternoon.\"\n40144,2021/11/17,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n40145,2021/11/17,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n40146,2021/11/18,\"On 2021/11/18, I took Emery on a date to a restaurant\",\"On 2021/11/18, I took Emery on a date to a restaurant\"\n40147,2021/11/18,I did swimming on 2021/11/18.,I did swimming on 2021/11/18.\n40148,2021/11/18,\"I had peanut-butter-jam for breakfast with Avery, Benjamin, Jackson, Willow\",\"I had peanut-butter-jam for breakfast with Avery, Benjamin, Jackson, Willow\"\n40149,2021/11/18,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n40150,2021/11/18,I had steak for dinner with Andrew,I had steak for dinner with Andrew\n40151,2021/11/18,\"I spent 12 talking to Olivia, Eva on various topics in the early afternoon.\",\"I spent 12 talking to Olivia, Eva on various topics in the early afternoon.\"\n40152,2021/11/18,\"I talked to Eva, Nevaeh, Lydia for 32 minutes during lunch hours.\",\"I talked to Eva, Nevaeh, Lydia for 32 minutes during lunch hours.\"\n40153,2021/11/18,\"I spent 45 talking to Kinsley, Piper, Claire on various topics in the early afternoon.\",\"I spent 45 talking to Kinsley, Piper, Claire on various topics in the early afternoon.\"\n40154,2021/11/18,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n40155,2021/11/18,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n40156,2021/11/19,\"I went grocery shopping. I bought some blackberries, bananas, nectarines, guava juice, chocolate milk, coffee, milk, and toothpaste, toothbrush\",\"I went grocery shopping. I bought some blackberries, bananas, nectarines, guava juice, chocolate milk, coffee, milk, and toothpaste, toothbrush\"\n40157,2021/11/19,I did biking on 2021/11/19.,I did biking on 2021/11/19.\n40158,2021/11/19,\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate cereals.\",\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate cereals.\"\n40159,2021/11/19,I ate chinese food for lunch.,I ate chinese food for lunch.\n40160,2021/11/19,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n40161,2021/11/19,\"I spent 47 talking to Claire, Olivia on various topics in the late afternoon.\",\"I spent 47 talking to Claire, Olivia on various topics in the late afternoon.\"\n40162,2021/11/19,\"I talked to Hazel, Nevaeh, Claire, Eva for 19 minutes in the early afternoon.\",\"I talked to Hazel, Nevaeh, Claire, Eva for 19 minutes in the early afternoon.\"\n40163,2021/11/19,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n40164,2021/11/19,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n40165,2021/11/20,I went on a date with Victoria on 2021/11/20 at a park,I went on a date with Victoria on 2021/11/20 at a park\n40166,2021/11/20,I did HIIT on 2021/11/20.,I did HIIT on 2021/11/20.\n40167,2021/11/20,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n40168,2021/11/20,\"I had lunch with Layla, Nevaeh, Piper, Rylee, Piper, Avery, Nora, Claire, Olivia, Hazel, Eva, Lydia. I ate sushi.\",\"I had lunch with Layla, Nevaeh, Piper, Rylee, Piper, Avery, Nora, Claire, Olivia, Hazel, Eva, Lydia. I ate sushi.\"\n40169,2021/11/20,\"I had a burger for dinner with Andrew, Carter, Kayden\",\"I had a burger for dinner with Andrew, Carter, Kayden\"\n40170,2021/11/20,\"I spent 50 talking to Hazel, Piper, Rylee on various topics in the early afternoon.\",\"I spent 50 talking to Hazel, Piper, Rylee on various topics in the early afternoon.\"\n40171,2021/11/20,\"I spent 11 talking to Olivia, Layla on various topics in the late afternoon.\",\"I spent 11 talking to Olivia, Layla on various topics in the late afternoon.\"\n40172,2021/11/20,\"I spent 15 talking to Layla, Kinsley, Piper, Hazel on various topics in the early afternoon.\",\"I spent 15 talking to Layla, Kinsley, Piper, Hazel on various topics in the early afternoon.\"\n40173,2021/11/20,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n40174,2021/11/20,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n40175,2021/11/21,I did biking on 2021/11/21.,I did biking on 2021/11/21.\n40176,2021/11/21,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n40177,2021/11/21,\"I had lunch with Carter, Emily, Kayden, Andrew. I ate a burger.\",\"I had lunch with Carter, Emily, Kayden, Andrew. I ate a burger.\"\n40178,2021/11/21,I prepare tacos for dinner.,I prepare tacos for dinner.\n40179,2021/11/21,\"I spent 44 talking to Nora, Avery, Piper, Olivia on various topics late in the evening.\",\"I spent 44 talking to Nora, Avery, Piper, Olivia on various topics late in the evening.\"\n40180,2021/11/21,\"I spent 30 talking to Claire, Piper on various topics in the morning.\",\"I spent 30 talking to Claire, Piper on various topics in the morning.\"\n40181,2021/11/21,\"I spent 24 talking to Rylee, Eva on various topics during lunch hours.\",\"I spent 24 talking to Rylee, Eva on various topics during lunch hours.\"\n40182,2021/11/21,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n40183,2021/11/21,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n40184,2021/11/22,\"I went grocery shopping. I bought some pineapples, apricots, clementines, coffee, sports drinks, and body lotion, toothpaste\",\"I went grocery shopping. I bought some pineapples, apricots, clementines, coffee, sports drinks, and body lotion, toothpaste\"\n40185,2021/11/22,I did running on 2021/11/22.,I did running on 2021/11/22.\n40186,2021/11/22,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n40187,2021/11/22,I ate indian food for lunch.,I ate indian food for lunch.\n40188,2021/11/22,I had dinner with Emily. I ate tacos.,I had dinner with Emily. I ate tacos.\n40189,2021/11/22,\"I talked to Rylee, Piper for 29 minutes during lunch hours.\",\"I talked to Rylee, Piper for 29 minutes during lunch hours.\"\n40190,2021/11/22,I talked to Eva for 55 minutes in the early afternoon.,I talked to Eva for 55 minutes in the early afternoon.\n40191,2021/11/22,\"I talked to Layla, Nevaeh, Rylee for 8 minutes in the early evening.\",\"I talked to Layla, Nevaeh, Rylee for 8 minutes in the early evening.\"\n40192,2021/11/22,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n40193,2021/11/22,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n40194,2021/11/23,I did biking on 2021/11/23.,I did biking on 2021/11/23.\n40195,2021/11/23,\"I had peanut-butter-jam for breakfast with Emily, Kayden, Andrew\",\"I had peanut-butter-jam for breakfast with Emily, Kayden, Andrew\"\n40196,2021/11/23,I had steak for lunch with Avery,I had steak for lunch with Avery\n40197,2021/11/23,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n40198,2021/11/23,\"I spent 34 talking to Rylee, Claire on various topics in the early evening.\",\"I spent 34 talking to Rylee, Claire on various topics in the early evening.\"\n40199,2021/11/23,I spent 51 talking to Lydia on various topics late in the evening.,I spent 51 talking to Lydia on various topics late in the evening.\n40200,2021/11/23,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n40201,2021/11/23,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n40202,2021/11/24,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n40203,2021/11/24,I ate a burger for lunch.,I ate a burger for lunch.\n40204,2021/11/24,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n40205,2021/11/24,\"I spent 41 talking to Nevaeh, Rylee, Kinsley on various topics late in the evening.\",\"I spent 41 talking to Nevaeh, Rylee, Kinsley on various topics late in the evening.\"\n40206,2021/11/24,\"I spent 23 talking to Claire, Kinsley, Olivia, Piper on various topics in the late afternoon.\",\"I spent 23 talking to Claire, Kinsley, Olivia, Piper on various topics in the late afternoon.\"\n40207,2021/11/24,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n40208,2021/11/24,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n40209,2021/11/25,I went on a date with Lillian on 2021/11/25 at a boba shop,I went on a date with Lillian on 2021/11/25 at a boba shop\n40210,2021/11/25,I spent some time yoga on 2021/11/25.,I spent some time yoga on 2021/11/25.\n40211,2021/11/25,I did weight lifting on 2021/11/25.,I did weight lifting on 2021/11/25.\n40212,2021/11/25,\"I had breakfast with Jackson, Benjamin. I ate toast and cheese.\",\"I had breakfast with Jackson, Benjamin. I ate toast and cheese.\"\n40213,2021/11/25,I had lunch with Carter. I ate pasta.,I had lunch with Carter. I ate pasta.\n40214,2021/11/25,I prepare sushi for dinner.,I prepare sushi for dinner.\n40215,2021/11/25,\"I spent 11 talking to Claire, Piper, Rylee, Hazel on various topics in the morning.\",\"I spent 11 talking to Claire, Piper, Rylee, Hazel on various topics in the morning.\"\n40216,2021/11/25,\"I spent 8 talking to Nevaeh, Piper, Hazel on various topics late in the evening.\",\"I spent 8 talking to Nevaeh, Piper, Hazel on various topics late in the evening.\"\n40217,2021/11/25,\"I talked to Olivia, Layla for 41 minutes in the early evening.\",\"I talked to Olivia, Layla for 41 minutes in the early evening.\"\n40218,2021/11/25,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n40219,2021/11/25,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n40220,2021/11/26,I did swimming on 2021/11/26.,I did swimming on 2021/11/26.\n40221,2021/11/26,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n40222,2021/11/26,I ate indian food for lunch.,I ate indian food for lunch.\n40223,2021/11/26,\"I had pasta for dinner with Carter, Andrew, Emily\",\"I had pasta for dinner with Carter, Andrew, Emily\"\n40224,2021/11/26,\"I talked to Piper, Kinsley, Claire for 13 minutes in the early evening.\",\"I talked to Piper, Kinsley, Claire for 13 minutes in the early evening.\"\n40225,2021/11/26,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n40226,2021/11/26,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n40227,2021/11/27,I did biking on 2021/11/27.,I did biking on 2021/11/27.\n40228,2021/11/27,\"I had breakfast with Piper, Avery. I ate toast and cheese.\",\"I had breakfast with Piper, Avery. I ate toast and cheese.\"\n40229,2021/11/27,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n40230,2021/11/27,I prepare a burger for dinner.,I prepare a burger for dinner.\n40231,2021/11/27,I talked to Kinsley for 12 minutes in the early evening.,I talked to Kinsley for 12 minutes in the early evening.\n40232,2021/11/27,I talked to Rylee for 21 minutes in the early evening.,I talked to Rylee for 21 minutes in the early evening.\n40233,2021/11/27,\"I spent 45 talking to Piper, Rylee, Kinsley, Nora on various topics in the late afternoon.\",\"I spent 45 talking to Piper, Rylee, Kinsley, Nora on various topics in the late afternoon.\"\n40234,2021/11/27,\"I talked to Kinsley, Nevaeh, Olivia for 41 minutes during lunch hours.\",\"I talked to Kinsley, Nevaeh, Olivia for 41 minutes during lunch hours.\"\n40235,2021/11/27,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n40236,2021/11/27,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n40237,2021/11/28,I did hiking on 2021/11/28.,I did hiking on 2021/11/28.\n40238,2021/11/28,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n40239,2021/11/28,I prepare sushi for lunch.,I prepare sushi for lunch.\n40240,2021/11/28,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n40241,2021/11/28,I spent 42 talking to Piper on various topics in the early afternoon.,I spent 42 talking to Piper on various topics in the early afternoon.\n40242,2021/11/28,\"I talked to Piper, Avery for 29 minutes in the early afternoon.\",\"I talked to Piper, Avery for 29 minutes in the early afternoon.\"\n40243,2021/11/28,\"I talked to Nevaeh, Kinsley for 22 minutes in the early evening.\",\"I talked to Nevaeh, Kinsley for 22 minutes in the early evening.\"\n40244,2021/11/28,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n40245,2021/11/28,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n40246,2021/11/29,I did running on 2021/11/29.,I did running on 2021/11/29.\n40247,2021/11/29,\"I had breakfast with Claire, Eva, Avery, Rylee, Kinsley, Piper, Piper, Olivia, Nora. I ate pancakes.\",\"I had breakfast with Claire, Eva, Avery, Rylee, Kinsley, Piper, Piper, Olivia, Nora. I ate pancakes.\"\n40248,2021/11/29,\"I had pasta for lunch with Olivia, Nora, Kinsley, Nevaeh, Lydia, Piper, Claire, Hazel, Avery, Rylee, Piper\",\"I had pasta for lunch with Olivia, Nora, Kinsley, Nevaeh, Lydia, Piper, Claire, Hazel, Avery, Rylee, Piper\"\n40249,2021/11/29,\"I had tacos for dinner with Carter, Andrew\",\"I had tacos for dinner with Carter, Andrew\"\n40250,2021/11/29,I spent 36 talking to Piper on various topics during lunch hours.,I spent 36 talking to Piper on various topics during lunch hours.\n40251,2021/11/29,\"I spent 20 talking to Rylee, Claire on various topics during lunch hours.\",\"I spent 20 talking to Rylee, Claire on various topics during lunch hours.\"\n40252,2021/11/29,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n40253,2021/11/29,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n40254,2021/11/30,I did HIIT on 2021/11/30.,I did HIIT on 2021/11/30.\n40255,2021/11/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n40256,2021/11/30,I ate tacos for lunch.,I ate tacos for lunch.\n40257,2021/11/30,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n40258,2021/11/30,I spent 24 talking to Rylee on various topics in the early evening.,I spent 24 talking to Rylee on various topics in the early evening.\n40259,2021/11/30,I talked to Nora for 52 minutes in the early afternoon.,I talked to Nora for 52 minutes in the early afternoon.\n40260,2021/11/30,\"I talked to Layla, Olivia, Avery, Nora for 34 minutes during lunch hours.\",\"I talked to Layla, Olivia, Avery, Nora for 34 minutes during lunch hours.\"\n40261,2021/11/30,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n40262,2021/11/30,I watched a tv series for 46 minutes on TV today.,I watched a tv series for 46 minutes on TV today.\n40263,2021/12/01,\"On 2021/12/01, I took Ava on a date to a park\",\"On 2021/12/01, I took Ava on a date to a park\"\n40264,2021/12/01,I did weight lifting on 2021/12/01.,I did weight lifting on 2021/12/01.\n40265,2021/12/01,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n40266,2021/12/01,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n40267,2021/12/01,I ate pasta for dinner.,I ate pasta for dinner.\n40268,2021/12/01,\"I talked to Nevaeh, Rylee, Hazel, Lydia for 26 minutes in the morning.\",\"I talked to Nevaeh, Rylee, Hazel, Lydia for 26 minutes in the morning.\"\n40269,2021/12/01,\"I spent 52 talking to Claire, Avery on various topics in the early afternoon.\",\"I spent 52 talking to Claire, Avery on various topics in the early afternoon.\"\n40270,2021/12/01,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n40271,2021/12/01,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n40272,2021/12/02,I did biking on 2021/12/02.,I did biking on 2021/12/02.\n40273,2021/12/02,I had toast and cheese for breakfast with Carter,I had toast and cheese for breakfast with Carter\n40274,2021/12/02,I prepare pasta for lunch.,I prepare pasta for lunch.\n40275,2021/12/02,I ate pasta for dinner.,I ate pasta for dinner.\n40276,2021/12/02,\"I talked to Nevaeh, Olivia, Layla, Piper for 31 minutes in the late afternoon.\",\"I talked to Nevaeh, Olivia, Layla, Piper for 31 minutes in the late afternoon.\"\n40277,2021/12/02,\"I spent 19 talking to Kinsley, Piper, Hazel, Nora on various topics in the early evening.\",\"I spent 19 talking to Kinsley, Piper, Hazel, Nora on various topics in the early evening.\"\n40278,2021/12/02,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n40279,2021/12/02,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n40280,2021/12/03,I did hiking on 2021/12/03.,I did hiking on 2021/12/03.\n40281,2021/12/03,\"I had breakfast with Carter, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Emily. I ate peanut-butter-jam.\"\n40282,2021/12/03,I ate sandwich for lunch.,I ate sandwich for lunch.\n40283,2021/12/03,I ate sandwich for dinner.,I ate sandwich for dinner.\n40284,2021/12/03,I spent 40 talking to Piper on various topics in the early evening.,I spent 40 talking to Piper on various topics in the early evening.\n40285,2021/12/03,\"I spent 13 talking to Olivia, Layla, Rylee, Lydia on various topics in the morning.\",\"I spent 13 talking to Olivia, Layla, Rylee, Lydia on various topics in the morning.\"\n40286,2021/12/03,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n40287,2021/12/03,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n40288,2021/12/04,I did hiking on 2021/12/04.,I did hiking on 2021/12/04.\n40289,2021/12/04,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n40290,2021/12/04,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n40291,2021/12/04,\"I had dinner with Emily, Andrew, Kayden, Carter. I ate steak.\",\"I had dinner with Emily, Andrew, Kayden, Carter. I ate steak.\"\n40292,2021/12/04,I spent 23 talking to Eva on various topics in the early afternoon.,I spent 23 talking to Eva on various topics in the early afternoon.\n40293,2021/12/04,\"I spent 50 talking to Claire, Nora, Rylee on various topics in the early afternoon.\",\"I spent 50 talking to Claire, Nora, Rylee on various topics in the early afternoon.\"\n40294,2021/12/04,\"I spent 43 talking to Avery, Nevaeh on various topics in the early evening.\",\"I spent 43 talking to Avery, Nevaeh on various topics in the early evening.\"\n40295,2021/12/04,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n40296,2021/12/04,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n40297,2021/12/05,\"On 2021/12/05, I took Matthew on a date to a restaurant\",\"On 2021/12/05, I took Matthew on a date to a restaurant\"\n40298,2021/12/05,I really enjoyed working out on 2021/12/05,I really enjoyed working out on 2021/12/05\n40299,2021/12/05,\"I had breakfast with Nora, Avery, Hazel, Claire. I ate pancakes.\",\"I had breakfast with Nora, Avery, Hazel, Claire. I ate pancakes.\"\n40300,2021/12/05,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n40301,2021/12/05,I ate steak for dinner.,I ate steak for dinner.\n40302,2021/12/05,I spent 44 talking to Nevaeh on various topics in the early afternoon.,I spent 44 talking to Nevaeh on various topics in the early afternoon.\n40303,2021/12/05,\"I talked to Eva, Claire for 35 minutes in the early evening.\",\"I talked to Eva, Claire for 35 minutes in the early evening.\"\n40304,2021/12/05,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n40305,2021/12/05,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n40306,2021/12/06,\"I went grocery shopping. I bought some apricots, pears, guava, chocolate milk, milk, and shampoo\",\"I went grocery shopping. I bought some apricots, pears, guava, chocolate milk, milk, and shampoo\"\n40307,2021/12/06,I did weight lifting on 2021/12/06.,I did weight lifting on 2021/12/06.\n40308,2021/12/06,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n40309,2021/12/06,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n40310,2021/12/06,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n40311,2021/12/06,\"I spent 11 talking to Rylee, Piper, Avery, Olivia on various topics during lunch hours.\",\"I spent 11 talking to Rylee, Piper, Avery, Olivia on various topics during lunch hours.\"\n40312,2021/12/06,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n40313,2021/12/06,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n40314,2021/12/07,\"On 2021/12/07, I took Thomas on a date to a restaurant\",\"On 2021/12/07, I took Thomas on a date to a restaurant\"\n40315,2021/12/07,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n40316,2021/12/07,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n40317,2021/12/07,\"I had dinner with Emily, Kayden. I ate chinese food.\",\"I had dinner with Emily, Kayden. I ate chinese food.\"\n40318,2021/12/07,\"I talked to Layla, Nora, Claire, Olivia for 31 minutes in the morning.\",\"I talked to Layla, Nora, Claire, Olivia for 31 minutes in the morning.\"\n40319,2021/12/07,\"I spent 30 talking to Avery, Nevaeh, Olivia, Eva on various topics in the early afternoon.\",\"I spent 30 talking to Avery, Nevaeh, Olivia, Eva on various topics in the early afternoon.\"\n40320,2021/12/07,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n40321,2021/12/07,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n40322,2021/12/08,I did biking on 2021/12/08.,I did biking on 2021/12/08.\n40323,2021/12/08,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n40324,2021/12/08,\"I had lunch with Piper, Eva, Nevaeh, Avery. I ate steak.\",\"I had lunch with Piper, Eva, Nevaeh, Avery. I ate steak.\"\n40325,2021/12/08,I ate pasta for dinner.,I ate pasta for dinner.\n40326,2021/12/08,\"I talked to Layla, Hazel, Piper for 18 minutes in the early evening.\",\"I talked to Layla, Hazel, Piper for 18 minutes in the early evening.\"\n40327,2021/12/08,\"I talked to Piper, Hazel for 44 minutes in the early evening.\",\"I talked to Piper, Hazel for 44 minutes in the early evening.\"\n40328,2021/12/08,\"I spent 26 talking to Claire, Nora, Piper on various topics during lunch hours.\",\"I spent 26 talking to Claire, Nora, Piper on various topics during lunch hours.\"\n40329,2021/12/08,\"I talked to Piper, Rylee, Kinsley, Nevaeh for 11 minutes late in the evening.\",\"I talked to Piper, Rylee, Kinsley, Nevaeh for 11 minutes late in the evening.\"\n40330,2021/12/08,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n40331,2021/12/08,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n40332,2021/12/09,I did swimming on 2021/12/09.,I did swimming on 2021/12/09.\n40333,2021/12/09,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n40334,2021/12/09,I ate tacos for lunch.,I ate tacos for lunch.\n40335,2021/12/09,\"I had dinner with Claire, Layla, Piper, Hazel, Nevaeh, Kinsley, Eva, Lydia, Olivia, Nora, Piper, Avery, Rylee. I ate a burger.\",\"I had dinner with Claire, Layla, Piper, Hazel, Nevaeh, Kinsley, Eva, Lydia, Olivia, Nora, Piper, Avery, Rylee. I ate a burger.\"\n40336,2021/12/09,\"I talked to Piper, Eva, Nevaeh for 45 minutes in the morning.\",\"I talked to Piper, Eva, Nevaeh for 45 minutes in the morning.\"\n40337,2021/12/09,I spent 35 talking to Olivia on various topics in the morning.,I spent 35 talking to Olivia on various topics in the morning.\n40338,2021/12/09,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n40339,2021/12/09,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n40340,2021/12/10,I ate cereals for breakfast.,I ate cereals for breakfast.\n40341,2021/12/10,\"I had tacos for lunch with Avery, Olivia, Nevaeh\",\"I had tacos for lunch with Avery, Olivia, Nevaeh\"\n40342,2021/12/10,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n40343,2021/12/10,\"I spent 22 talking to Kinsley, Claire on various topics in the late afternoon.\",\"I spent 22 talking to Kinsley, Claire on various topics in the late afternoon.\"\n40344,2021/12/10,\"I talked to Piper, Olivia, Nora for 44 minutes in the early evening.\",\"I talked to Piper, Olivia, Nora for 44 minutes in the early evening.\"\n40345,2021/12/10,\"I talked to Kinsley, Lydia, Claire for 12 minutes in the morning.\",\"I talked to Kinsley, Lydia, Claire for 12 minutes in the morning.\"\n40346,2021/12/10,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n40347,2021/12/10,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n40348,2021/12/11,I went on a date with Leonardo on 2021/12/11 at a boba shop,I went on a date with Leonardo on 2021/12/11 at a boba shop\n40349,2021/12/11,I did HIIT on 2021/12/11.,I did HIIT on 2021/12/11.\n40350,2021/12/11,\"I had breakfast with Lydia, Nevaeh, Nora. I ate peanut-butter-jam.\",\"I had breakfast with Lydia, Nevaeh, Nora. I ate peanut-butter-jam.\"\n40351,2021/12/11,I ate sandwich for lunch.,I ate sandwich for lunch.\n40352,2021/12/11,\"I had dinner with Emily, Carter. I ate steak.\",\"I had dinner with Emily, Carter. I ate steak.\"\n40353,2021/12/11,I talked to Layla for 38 minutes in the morning.,I talked to Layla for 38 minutes in the morning.\n40354,2021/12/11,\"I talked to Nora, Layla for 40 minutes in the early afternoon.\",\"I talked to Nora, Layla for 40 minutes in the early afternoon.\"\n40355,2021/12/11,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n40356,2021/12/11,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n40357,2021/12/12,I did HIIT on 2021/12/12.,I did HIIT on 2021/12/12.\n40358,2021/12/12,\"I had breakfast with Claire, Olivia, Avery, Eva, Piper, Rylee, Nora. I ate peanut-butter-jam.\",\"I had breakfast with Claire, Olivia, Avery, Eva, Piper, Rylee, Nora. I ate peanut-butter-jam.\"\n40359,2021/12/12,\"I had lunch with Emily, Carter. I ate a burger.\",\"I had lunch with Emily, Carter. I ate a burger.\"\n40360,2021/12/12,\"I had sushi for dinner with Willow, Avery, Jackson\",\"I had sushi for dinner with Willow, Avery, Jackson\"\n40361,2021/12/12,\"I spent 30 talking to Claire, Hazel, Olivia on various topics in the early afternoon.\",\"I spent 30 talking to Claire, Hazel, Olivia on various topics in the early afternoon.\"\n40362,2021/12/12,\"I talked to Hazel, Eva for 53 minutes in the early evening.\",\"I talked to Hazel, Eva for 53 minutes in the early evening.\"\n40363,2021/12/12,\"I talked to Nora, Layla for 52 minutes late in the evening.\",\"I talked to Nora, Layla for 52 minutes late in the evening.\"\n40364,2021/12/12,\"I talked to Nevaeh, Piper for 33 minutes during lunch hours.\",\"I talked to Nevaeh, Piper for 33 minutes during lunch hours.\"\n40365,2021/12/12,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n40366,2021/12/12,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n40367,2021/12/13,I did HIIT on 2021/12/13.,I did HIIT on 2021/12/13.\n40368,2021/12/13,\"I had breakfast with Hazel, Eva, Layla. I ate cereals.\",\"I had breakfast with Hazel, Eva, Layla. I ate cereals.\"\n40369,2021/12/13,\"I had chinese food for lunch with Lydia, Olivia, Claire, Piper\",\"I had chinese food for lunch with Lydia, Olivia, Claire, Piper\"\n40370,2021/12/13,\"I had chinese food for dinner with Andrew, Emily, Carter\",\"I had chinese food for dinner with Andrew, Emily, Carter\"\n40371,2021/12/13,\"I spent 19 talking to Nora, Piper, Rylee on various topics in the early afternoon.\",\"I spent 19 talking to Nora, Piper, Rylee on various topics in the early afternoon.\"\n40372,2021/12/13,\"I talked to Lydia, Avery for 16 minutes in the late afternoon.\",\"I talked to Lydia, Avery for 16 minutes in the late afternoon.\"\n40373,2021/12/13,\"I spent 48 talking to Rylee, Olivia, Avery on various topics during lunch hours.\",\"I spent 48 talking to Rylee, Olivia, Avery on various topics during lunch hours.\"\n40374,2021/12/13,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n40375,2021/12/13,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n40376,2021/12/14,I spent some time learning a language on 2021/12/14.,I spent some time learning a language on 2021/12/14.\n40377,2021/12/14,I did biking on 2021/12/14.,I did biking on 2021/12/14.\n40378,2021/12/14,\"I had breakfast with Jackson, Benjamin, Willow. I ate pancakes.\",\"I had breakfast with Jackson, Benjamin, Willow. I ate pancakes.\"\n40379,2021/12/14,I prepare a burger for lunch.,I prepare a burger for lunch.\n40380,2021/12/14,\"I had dinner with Claire, Piper, Rylee, Olivia, Layla, Lydia, Piper, Eva, Avery, Kinsley, Nevaeh, Hazel. I ate chinese food.\",\"I had dinner with Claire, Piper, Rylee, Olivia, Layla, Lydia, Piper, Eva, Avery, Kinsley, Nevaeh, Hazel. I ate chinese food.\"\n40381,2021/12/14,I talked to Nevaeh for 45 minutes in the late afternoon.,I talked to Nevaeh for 45 minutes in the late afternoon.\n40382,2021/12/14,\"I talked to Nora, Kinsley, Piper, Claire for 55 minutes in the morning.\",\"I talked to Nora, Kinsley, Piper, Claire for 55 minutes in the morning.\"\n40383,2021/12/14,\"I spent 22 talking to Claire, Eva on various topics in the late afternoon.\",\"I spent 22 talking to Claire, Eva on various topics in the late afternoon.\"\n40384,2021/12/14,I spent 42 talking to Hazel on various topics in the late afternoon.,I spent 42 talking to Hazel on various topics in the late afternoon.\n40385,2021/12/14,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n40386,2021/12/14,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n40387,2021/12/15,\"I bought some apples, clementines, guava, apple juice, milk, shaving cream, body lotion from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\",\"I bought some apples, clementines, guava, apple juice, milk, shaving cream, body lotion from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\"\n40388,2021/12/15,I did biking on 2021/12/15.,I did biking on 2021/12/15.\n40389,2021/12/15,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n40390,2021/12/15,\"I had chinese food for lunch with Andrew, Carter, Kayden\",\"I had chinese food for lunch with Andrew, Carter, Kayden\"\n40391,2021/12/15,\"I had sandwich for dinner with Emily, Carter, Andrew, Kayden\",\"I had sandwich for dinner with Emily, Carter, Andrew, Kayden\"\n40392,2021/12/15,I spent 5 talking to Piper on various topics late in the evening.,I spent 5 talking to Piper on various topics late in the evening.\n40393,2021/12/15,I spent 47 talking to Kinsley on various topics in the early afternoon.,I spent 47 talking to Kinsley on various topics in the early afternoon.\n40394,2021/12/15,I spent 44 talking to Hazel on various topics in the late afternoon.,I spent 44 talking to Hazel on various topics in the late afternoon.\n40395,2021/12/15,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n40396,2021/12/15,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n40397,2021/12/16,\"On 2021/12/16, I took Aaron on a date to a park\",\"On 2021/12/16, I took Aaron on a date to a park\"\n40398,2021/12/16,I did hiking on 2021/12/16.,I did hiking on 2021/12/16.\n40399,2021/12/16,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n40400,2021/12/16,I ate indian food for lunch.,I ate indian food for lunch.\n40401,2021/12/16,I ate a burger for dinner.,I ate a burger for dinner.\n40402,2021/12/16,\"I talked to Lydia, Rylee for 16 minutes during lunch hours.\",\"I talked to Lydia, Rylee for 16 minutes during lunch hours.\"\n40403,2021/12/16,\"I spent 40 talking to Olivia, Eva, Avery on various topics in the early afternoon.\",\"I spent 40 talking to Olivia, Eva, Avery on various topics in the early afternoon.\"\n40404,2021/12/16,\"I spent 37 talking to Layla, Avery on various topics late in the evening.\",\"I spent 37 talking to Layla, Avery on various topics late in the evening.\"\n40405,2021/12/16,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n40406,2021/12/16,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n40407,2021/12/17,\"On 2021/12/17, I took Rylee on a date to a boba shop\",\"On 2021/12/17, I took Rylee on a date to a boba shop\"\n40408,2021/12/17,I did weight lifting on 2021/12/17.,I did weight lifting on 2021/12/17.\n40409,2021/12/17,I had breakfast with Andrew. I ate peanut-butter-jam.,I had breakfast with Andrew. I ate peanut-butter-jam.\n40410,2021/12/17,I ate tacos for lunch.,I ate tacos for lunch.\n40411,2021/12/17,I prepare sushi for dinner.,I prepare sushi for dinner.\n40412,2021/12/17,\"I spent 35 talking to Nevaeh, Lydia, Claire on various topics in the late afternoon.\",\"I spent 35 talking to Nevaeh, Lydia, Claire on various topics in the late afternoon.\"\n40413,2021/12/17,I spent 23 talking to Layla on various topics during lunch hours.,I spent 23 talking to Layla on various topics during lunch hours.\n40414,2021/12/17,I talked to Eva for 52 minutes late in the evening.,I talked to Eva for 52 minutes late in the evening.\n40415,2021/12/17,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n40416,2021/12/17,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n40417,2021/12/18,I did running on 2021/12/18.,I did running on 2021/12/18.\n40418,2021/12/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n40419,2021/12/18,I prepare pasta for lunch.,I prepare pasta for lunch.\n40420,2021/12/18,\"I had sandwich for dinner with Emily, Kayden, Carter, Andrew\",\"I had sandwich for dinner with Emily, Kayden, Carter, Andrew\"\n40421,2021/12/18,I talked to Eva for 10 minutes in the late afternoon.,I talked to Eva for 10 minutes in the late afternoon.\n40422,2021/12/18,\"I talked to Avery, Hazel, Kinsley for 23 minutes during lunch hours.\",\"I talked to Avery, Hazel, Kinsley for 23 minutes during lunch hours.\"\n40423,2021/12/18,\"I talked to Olivia, Kinsley, Piper, Rylee for 9 minutes during lunch hours.\",\"I talked to Olivia, Kinsley, Piper, Rylee for 9 minutes during lunch hours.\"\n40424,2021/12/18,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n40425,2021/12/18,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n40426,2021/12/19,I did HIIT on 2021/12/19.,I did HIIT on 2021/12/19.\n40427,2021/12/19,\"I had peanut-butter-jam for breakfast with Emily, Carter, Andrew\",\"I had peanut-butter-jam for breakfast with Emily, Carter, Andrew\"\n40428,2021/12/19,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n40429,2021/12/19,I ate indian food for dinner.,I ate indian food for dinner.\n40430,2021/12/19,\"I spent 7 talking to Nevaeh, Layla, Avery, Eva on various topics in the morning.\",\"I spent 7 talking to Nevaeh, Layla, Avery, Eva on various topics in the morning.\"\n40431,2021/12/19,\"I talked to Eva, Olivia for 38 minutes in the late afternoon.\",\"I talked to Eva, Olivia for 38 minutes in the late afternoon.\"\n40432,2021/12/19,\"I talked to Nevaeh, Layla, Avery, Hazel for 5 minutes in the early afternoon.\",\"I talked to Nevaeh, Layla, Avery, Hazel for 5 minutes in the early afternoon.\"\n40433,2021/12/19,\"I talked to Avery, Rylee, Claire, Hazel for 21 minutes in the early evening.\",\"I talked to Avery, Rylee, Claire, Hazel for 21 minutes in the early evening.\"\n40434,2021/12/19,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n40435,2021/12/19,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n40436,2021/12/20,\"I bought some strawberries, pineapples, bananas, mango juice, sports drinks, soda, coffee, toothbrush, body lotion, shaving cream, toothpaste from the grocery store. I saw Jackson at the grocery store.\",\"I bought some strawberries, pineapples, bananas, mango juice, sports drinks, soda, coffee, toothbrush, body lotion, shaving cream, toothpaste from the grocery store. I saw Jackson at the grocery store.\"\n40437,2021/12/20,I did weight lifting on 2021/12/20.,I did weight lifting on 2021/12/20.\n40438,2021/12/20,\"I had eggs, sausages, and bread for breakfast with Nora, Olivia\",\"I had eggs, sausages, and bread for breakfast with Nora, Olivia\"\n40439,2021/12/20,\"I had pasta for lunch with Avery, Jackson\",\"I had pasta for lunch with Avery, Jackson\"\n40440,2021/12/20,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n40441,2021/12/20,\"I talked to Lydia, Nevaeh, Eva, Rylee for 33 minutes in the morning.\",\"I talked to Lydia, Nevaeh, Eva, Rylee for 33 minutes in the morning.\"\n40442,2021/12/20,\"I talked to Claire, Rylee, Lydia for 16 minutes in the early evening.\",\"I talked to Claire, Rylee, Lydia for 16 minutes in the early evening.\"\n40443,2021/12/20,I spent 26 talking to Rylee on various topics in the morning.,I spent 26 talking to Rylee on various topics in the morning.\n40444,2021/12/20,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n40445,2021/12/20,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n40446,2021/12/21,I did hiking on 2021/12/21.,I did hiking on 2021/12/21.\n40447,2021/12/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n40448,2021/12/21,\"I had fish and chips for lunch with Andrew, Carter, Kayden\",\"I had fish and chips for lunch with Andrew, Carter, Kayden\"\n40449,2021/12/21,I prepare pasta for dinner.,I prepare pasta for dinner.\n40450,2021/12/21,\"I spent 50 talking to Piper, Layla, Nora on various topics in the late afternoon.\",\"I spent 50 talking to Piper, Layla, Nora on various topics in the late afternoon.\"\n40451,2021/12/21,I spent 28 talking to Kinsley on various topics late in the evening.,I spent 28 talking to Kinsley on various topics late in the evening.\n40452,2021/12/21,\"I talked to Olivia, Rylee, Piper, Hazel for 43 minutes late in the evening.\",\"I talked to Olivia, Rylee, Piper, Hazel for 43 minutes late in the evening.\"\n40453,2021/12/21,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n40454,2021/12/21,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n40455,2021/12/22,I spent some time working out on 2021/12/22.,I spent some time working out on 2021/12/22.\n40456,2021/12/22,I did running on 2021/12/22.,I did running on 2021/12/22.\n40457,2021/12/22,\"I had breakfast with Kayden, Carter, Emily. I ate oatmeal.\",\"I had breakfast with Kayden, Carter, Emily. I ate oatmeal.\"\n40458,2021/12/22,\"I had chinese food for lunch with Kayden, Andrew, Carter\",\"I had chinese food for lunch with Kayden, Andrew, Carter\"\n40459,2021/12/22,I ate sandwich for dinner.,I ate sandwich for dinner.\n40460,2021/12/22,\"I spent 18 talking to Kinsley, Rylee, Layla on various topics during lunch hours.\",\"I spent 18 talking to Kinsley, Rylee, Layla on various topics during lunch hours.\"\n40461,2021/12/22,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n40462,2021/12/22,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n40463,2021/12/23,I went on a date with Amelia on 2021/12/23 at a restaurant,I went on a date with Amelia on 2021/12/23 at a restaurant\n40464,2021/12/23,I did weight lifting on 2021/12/23.,I did weight lifting on 2021/12/23.\n40465,2021/12/23,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n40466,2021/12/23,\"I had lunch with Andrew, Kayden. I ate fish and chips.\",\"I had lunch with Andrew, Kayden. I ate fish and chips.\"\n40467,2021/12/23,\"I had indian food for dinner with Piper, Piper\",\"I had indian food for dinner with Piper, Piper\"\n40468,2021/12/23,I talked to Nora for 33 minutes in the early evening.,I talked to Nora for 33 minutes in the early evening.\n40469,2021/12/23,\"I talked to Rylee, Claire, Kinsley for 5 minutes during lunch hours.\",\"I talked to Rylee, Claire, Kinsley for 5 minutes during lunch hours.\"\n40470,2021/12/23,I talked to Olivia for 32 minutes in the late afternoon.,I talked to Olivia for 32 minutes in the late afternoon.\n40471,2021/12/23,\"I spent 37 talking to Piper, Olivia, Eva on various topics late in the evening.\",\"I spent 37 talking to Piper, Olivia, Eva on various topics late in the evening.\"\n40472,2021/12/23,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n40473,2021/12/23,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n40474,2021/12/24,\"I bought some oranges, strawberries, nectarines, mineral water, milk, soda, mouth wash, toilet paper, shaving cream, facial wash from the grocery store. I saw Kinsley, Olivia, Nora, Layla, Eva, Claire, Piper, Avery, Piper, Nevaeh, Hazel at the grocery store.\",\"I bought some oranges, strawberries, nectarines, mineral water, milk, soda, mouth wash, toilet paper, shaving cream, facial wash from the grocery store. I saw Kinsley, Olivia, Nora, Layla, Eva, Claire, Piper, Avery, Piper, Nevaeh, Hazel at the grocery store.\"\n40475,2021/12/24,I did biking on 2021/12/24.,I did biking on 2021/12/24.\n40476,2021/12/24,I had breakfast with Willow. I ate peanut-butter-jam.,I had breakfast with Willow. I ate peanut-butter-jam.\n40477,2021/12/24,\"I had lunch with Lydia, Nevaeh, Nora, Eva, Olivia. I ate chinese food.\",\"I had lunch with Lydia, Nevaeh, Nora, Eva, Olivia. I ate chinese food.\"\n40478,2021/12/24,\"I had a burger for dinner with Kayden, Emily\",\"I had a burger for dinner with Kayden, Emily\"\n40479,2021/12/24,\"I spent 41 talking to Piper, Avery, Nora, Piper on various topics in the late afternoon.\",\"I spent 41 talking to Piper, Avery, Nora, Piper on various topics in the late afternoon.\"\n40480,2021/12/24,\"I spent 29 talking to Avery, Claire on various topics late in the evening.\",\"I spent 29 talking to Avery, Claire on various topics late in the evening.\"\n40481,2021/12/24,\"I talked to Avery, Nevaeh, Piper, Claire for 39 minutes in the early evening.\",\"I talked to Avery, Nevaeh, Piper, Claire for 39 minutes in the early evening.\"\n40482,2021/12/24,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n40483,2021/12/24,I spent 33 minutes watching a movie on TV today.,I spent 33 minutes watching a movie on TV today.\n40484,2021/12/25,\"I spent time yoga on 2021/12/25 with Avery, Jackson.\",\"I spent time yoga on 2021/12/25 with Avery, Jackson.\"\n40485,2021/12/25,I did hiking on 2021/12/25.,I did hiking on 2021/12/25.\n40486,2021/12/25,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n40487,2021/12/25,\"I had lunch with Carter, Kayden, Emily. I ate indian food.\",\"I had lunch with Carter, Kayden, Emily. I ate indian food.\"\n40488,2021/12/25,I prepare a burger for dinner.,I prepare a burger for dinner.\n40489,2021/12/25,\"I spent 19 talking to Olivia, Hazel, Nevaeh on various topics in the early evening.\",\"I spent 19 talking to Olivia, Hazel, Nevaeh on various topics in the early evening.\"\n40490,2021/12/25,\"I spent 29 talking to Rylee, Lydia, Kinsley, Nora on various topics during lunch hours.\",\"I spent 29 talking to Rylee, Lydia, Kinsley, Nora on various topics during lunch hours.\"\n40491,2021/12/25,I spent 51 talking to Eva on various topics in the early afternoon.,I spent 51 talking to Eva on various topics in the early afternoon.\n40492,2021/12/25,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n40493,2021/12/25,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n40494,2021/12/26,my parents for their and I went for an annual physical checkup at the university hospital on 2021/12/26.,my parents for their and I went for an annual physical checkup at the university hospital on 2021/12/26.\n40495,2021/12/26,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n40496,2021/12/26,I ate tacos for lunch.,I ate tacos for lunch.\n40497,2021/12/26,I ate a burger for dinner.,I ate a burger for dinner.\n40498,2021/12/26,I talked to Kinsley for 52 minutes during lunch hours.,I talked to Kinsley for 52 minutes during lunch hours.\n40499,2021/12/26,\"I spent 22 talking to Claire, Avery, Piper, Layla on various topics late in the evening.\",\"I spent 22 talking to Claire, Avery, Piper, Layla on various topics late in the evening.\"\n40500,2021/12/26,\"I spent 27 talking to Nora, Layla, Claire on various topics late in the evening.\",\"I spent 27 talking to Nora, Layla, Claire on various topics late in the evening.\"\n40501,2021/12/26,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n40502,2021/12/26,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n40503,2021/12/27,I did running on 2021/12/27.,I did running on 2021/12/27.\n40504,2021/12/27,I had breakfast with Andrew. I ate toast and cheese.,I had breakfast with Andrew. I ate toast and cheese.\n40505,2021/12/27,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n40506,2021/12/27,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n40507,2021/12/27,\"I talked to Nevaeh, Piper, Eva, Rylee for 11 minutes during lunch hours.\",\"I talked to Nevaeh, Piper, Eva, Rylee for 11 minutes during lunch hours.\"\n40508,2021/12/27,\"I talked to Piper, Nora, Kinsley for 9 minutes late in the evening.\",\"I talked to Piper, Nora, Kinsley for 9 minutes late in the evening.\"\n40509,2021/12/27,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n40510,2021/12/27,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n40511,2021/12/28,I did biking on 2021/12/28.,I did biking on 2021/12/28.\n40512,2021/12/28,\"I had peanut-butter-jam for breakfast with Jackson, Benjamin, Willow, Avery\",\"I had peanut-butter-jam for breakfast with Jackson, Benjamin, Willow, Avery\"\n40513,2021/12/28,I ate tacos for lunch.,I ate tacos for lunch.\n40514,2021/12/28,I had dinner with Benjamin. I ate tacos.,I had dinner with Benjamin. I ate tacos.\n40515,2021/12/28,\"I spent 54 talking to Kinsley, Rylee, Olivia on various topics in the early evening.\",\"I spent 54 talking to Kinsley, Rylee, Olivia on various topics in the early evening.\"\n40516,2021/12/28,\"I spent 23 talking to Hazel, Eva, Piper, Nora on various topics in the early evening.\",\"I spent 23 talking to Hazel, Eva, Piper, Nora on various topics in the early evening.\"\n40517,2021/12/28,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n40518,2021/12/28,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n40519,2021/12/29,I spent some time yoga on 2021/12/29.,I spent some time yoga on 2021/12/29.\n40520,2021/12/29,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n40521,2021/12/29,\"I had sandwich for lunch with Andrew, Kayden, Emily, Carter\",\"I had sandwich for lunch with Andrew, Kayden, Emily, Carter\"\n40522,2021/12/29,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n40523,2021/12/29,\"I spent 23 talking to Avery, Kinsley on various topics in the morning.\",\"I spent 23 talking to Avery, Kinsley on various topics in the morning.\"\n40524,2021/12/29,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n40525,2021/12/29,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n40526,2021/12/30,I did hiking on 2021/12/30.,I did hiking on 2021/12/30.\n40527,2021/12/30,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n40528,2021/12/30,I ate pasta for lunch.,I ate pasta for lunch.\n40529,2021/12/30,\"I had indian food for dinner with Claire, Lydia, Avery, Rylee, Nevaeh, Eva, Kinsley\",\"I had indian food for dinner with Claire, Lydia, Avery, Rylee, Nevaeh, Eva, Kinsley\"\n40530,2021/12/30,I spent 32 talking to Nora on various topics late in the evening.,I spent 32 talking to Nora on various topics late in the evening.\n40531,2021/12/30,\"I spent 25 talking to Olivia, Piper, Avery on various topics in the early afternoon.\",\"I spent 25 talking to Olivia, Piper, Avery on various topics in the early afternoon.\"\n40532,2021/12/30,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n40533,2021/12/30,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n40534,2021/12/31,\"I entertained Emily, Andrew at my place on 2021/12/31 and bake brown sugar-pear puff pastries, easy chocolate marshmallow cups, brownies\",\"I entertained Emily, Andrew at my place on 2021/12/31 and bake brown sugar-pear puff pastries, easy chocolate marshmallow cups, brownies\"\n40535,2021/12/31,I did running on 2021/12/31.,I did running on 2021/12/31.\n40536,2021/12/31,\"I had breakfast with Andrew, Emily. I ate oatmeal.\",\"I had breakfast with Andrew, Emily. I ate oatmeal.\"\n40537,2021/12/31,\"I had lunch with Willow, Jackson, Avery, Benjamin. I ate fish and chips.\",\"I had lunch with Willow, Jackson, Avery, Benjamin. I ate fish and chips.\"\n40538,2021/12/31,I had dinner. I ate steak.,I had dinner. I ate steak.\n40539,2021/12/31,\"I spent 33 talking to Claire, Hazel, Layla, Piper on various topics in the early afternoon.\",\"I spent 33 talking to Claire, Hazel, Layla, Piper on various topics in the early afternoon.\"\n40540,2021/12/31,\"I spent 9 talking to Claire, Eva, Piper on various topics in the late afternoon.\",\"I spent 9 talking to Claire, Eva, Piper on various topics in the late afternoon.\"\n40541,2021/12/31,I talked to Rylee for 33 minutes in the late afternoon.,I talked to Rylee for 33 minutes in the late afternoon.\n40542,2021/12/31,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n40543,2021/12/31,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n40544,2022/01/01,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n40545,2022/01/01,I took Kayden for his/her  for an annual dental cleaning and checkup on 2022/01/01 at the private clinic.,I took Kayden for his/her  for an annual dental cleaning and checkup on 2022/01/01 at the private clinic.\n40546,2022/01/01,\"On 2022/01/01, I took Valentina on a date to a restaurant\",\"On 2022/01/01, I took Valentina on a date to a restaurant\"\n40547,2022/01/01,I did hiking on 2022/01/01.,I did hiking on 2022/01/01.\n40548,2022/01/01,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n40549,2022/01/01,I ate tacos for lunch.,I ate tacos for lunch.\n40550,2022/01/01,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n40551,2022/01/01,I spent 19 talking to Avery on various topics in the early afternoon.,I spent 19 talking to Avery on various topics in the early afternoon.\n40552,2022/01/01,I spent 42 talking to Lydia on various topics in the early evening.,I spent 42 talking to Lydia on various topics in the early evening.\n40553,2022/01/01,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n40554,2022/01/01,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n40555,2022/01/02,I did hiking on 2022/01/02.,I did hiking on 2022/01/02.\n40556,2022/01/02,\"I had breakfast with Rylee, Hazel, Nora, Nevaeh. I ate eggs, sausages, and bread.\",\"I had breakfast with Rylee, Hazel, Nora, Nevaeh. I ate eggs, sausages, and bread.\"\n40557,2022/01/02,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n40558,2022/01/02,I had dinner with Carter. I ate chinese food.,I had dinner with Carter. I ate chinese food.\n40559,2022/01/02,\"I spent 6 talking to Piper, Nora, Layla, Eva on various topics in the early evening.\",\"I spent 6 talking to Piper, Nora, Layla, Eva on various topics in the early evening.\"\n40560,2022/01/02,\"I talked to Piper, Lydia, Piper for 29 minutes in the early evening.\",\"I talked to Piper, Lydia, Piper for 29 minutes in the early evening.\"\n40561,2022/01/02,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n40562,2022/01/02,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n40563,2022/01/03,I did swimming on 2022/01/03.,I did swimming on 2022/01/03.\n40564,2022/01/03,\"I had breakfast with Andrew, Emily. I ate pancakes.\",\"I had breakfast with Andrew, Emily. I ate pancakes.\"\n40565,2022/01/03,I ate sandwich for lunch.,I ate sandwich for lunch.\n40566,2022/01/03,\"I had dinner with Claire, Rylee, Kinsley, Nora, Hazel, Eva. I ate indian food.\",\"I had dinner with Claire, Rylee, Kinsley, Nora, Hazel, Eva. I ate indian food.\"\n40567,2022/01/03,\"I spent 29 talking to Olivia, Piper on various topics in the early afternoon.\",\"I spent 29 talking to Olivia, Piper on various topics in the early afternoon.\"\n40568,2022/01/03,\"I spent 21 talking to Lydia, Nora, Nevaeh on various topics during lunch hours.\",\"I spent 21 talking to Lydia, Nora, Nevaeh on various topics during lunch hours.\"\n40569,2022/01/03,I talked to Claire for 28 minutes in the morning.,I talked to Claire for 28 minutes in the morning.\n40570,2022/01/03,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n40571,2022/01/03,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n40572,2022/01/04,I really enjoyed working out on 2022/01/04,I really enjoyed working out on 2022/01/04\n40573,2022/01/04,I did weight lifting on 2022/01/04.,I did weight lifting on 2022/01/04.\n40574,2022/01/04,\"I had breakfast with Andrew, Carter, Kayden. I ate toast and cheese.\",\"I had breakfast with Andrew, Carter, Kayden. I ate toast and cheese.\"\n40575,2022/01/04,\"I had chinese food for lunch with Piper, Nevaeh, Piper, Nora\",\"I had chinese food for lunch with Piper, Nevaeh, Piper, Nora\"\n40576,2022/01/04,I ate pasta for dinner.,I ate pasta for dinner.\n40577,2022/01/04,\"I talked to Piper, Claire, Piper for 19 minutes late in the evening.\",\"I talked to Piper, Claire, Piper for 19 minutes late in the evening.\"\n40578,2022/01/04,\"I talked to Piper, Piper, Rylee, Avery for 12 minutes in the early evening.\",\"I talked to Piper, Piper, Rylee, Avery for 12 minutes in the early evening.\"\n40579,2022/01/04,\"I talked to Nora, Avery, Kinsley for 48 minutes in the early evening.\",\"I talked to Nora, Avery, Kinsley for 48 minutes in the early evening.\"\n40580,2022/01/04,\"I spent 39 talking to Olivia, Nora, Kinsley on various topics in the late afternoon.\",\"I spent 39 talking to Olivia, Nora, Kinsley on various topics in the late afternoon.\"\n40581,2022/01/04,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n40582,2022/01/04,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n40583,2022/01/05,I went on a date with Genesis on 2022/01/05 at a boba shop,I went on a date with Genesis on 2022/01/05 at a boba shop\n40584,2022/01/05,I did weight lifting on 2022/01/05.,I did weight lifting on 2022/01/05.\n40585,2022/01/05,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n40586,2022/01/05,I prepare indian food for lunch.,I prepare indian food for lunch.\n40587,2022/01/05,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n40588,2022/01/05,\"I talked to Nora, Olivia for 36 minutes during lunch hours.\",\"I talked to Nora, Olivia for 36 minutes during lunch hours.\"\n40589,2022/01/05,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n40590,2022/01/05,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n40591,2022/01/06,I did running on 2022/01/06.,I did running on 2022/01/06.\n40592,2022/01/06,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n40593,2022/01/06,\"I had a burger for lunch with Jackson, Benjamin\",\"I had a burger for lunch with Jackson, Benjamin\"\n40594,2022/01/06,I ate steak for dinner.,I ate steak for dinner.\n40595,2022/01/06,I talked to Nora for 5 minutes late in the evening.,I talked to Nora for 5 minutes late in the evening.\n40596,2022/01/06,\"I talked to Piper, Layla for 55 minutes in the morning.\",\"I talked to Piper, Layla for 55 minutes in the morning.\"\n40597,2022/01/06,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n40598,2022/01/06,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n40599,2022/01/07,I did weight lifting on 2022/01/07.,I did weight lifting on 2022/01/07.\n40600,2022/01/07,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n40601,2022/01/07,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n40602,2022/01/07,\"I had dinner with Emily, Carter. I ate pasta.\",\"I had dinner with Emily, Carter. I ate pasta.\"\n40603,2022/01/07,I talked to Avery for 38 minutes late in the evening.,I talked to Avery for 38 minutes late in the evening.\n40604,2022/01/07,\"I spent 8 talking to Hazel, Avery, Nora, Lydia on various topics in the early afternoon.\",\"I spent 8 talking to Hazel, Avery, Nora, Lydia on various topics in the early afternoon.\"\n40605,2022/01/07,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n40606,2022/01/07,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n40607,2022/01/08,I did swimming on 2022/01/08.,I did swimming on 2022/01/08.\n40608,2022/01/08,\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Carter, Emily\",\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Carter, Emily\"\n40609,2022/01/08,I prepare pasta for lunch.,I prepare pasta for lunch.\n40610,2022/01/08,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n40611,2022/01/08,\"I spent 35 talking to Eva, Nevaeh, Claire, Olivia on various topics in the early afternoon.\",\"I spent 35 talking to Eva, Nevaeh, Claire, Olivia on various topics in the early afternoon.\"\n40612,2022/01/08,\"I talked to Kinsley, Olivia, Layla, Claire for 23 minutes in the early evening.\",\"I talked to Kinsley, Olivia, Layla, Claire for 23 minutes in the early evening.\"\n40613,2022/01/08,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n40614,2022/01/08,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n40615,2022/01/09,I did HIIT on 2022/01/09.,I did HIIT on 2022/01/09.\n40616,2022/01/09,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n40617,2022/01/09,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n40618,2022/01/09,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n40619,2022/01/09,\"I spent 25 talking to Lydia, Nora, Avery on various topics in the late afternoon.\",\"I spent 25 talking to Lydia, Nora, Avery on various topics in the late afternoon.\"\n40620,2022/01/09,\"I talked to Rylee, Nevaeh for 5 minutes in the early afternoon.\",\"I talked to Rylee, Nevaeh for 5 minutes in the early afternoon.\"\n40621,2022/01/09,I spent 30 talking to Nora on various topics in the morning.,I spent 30 talking to Nora on various topics in the morning.\n40622,2022/01/09,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n40623,2022/01/09,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n40624,2022/01/10,I went on a date with Theodore on 2022/01/10 at a park,I went on a date with Theodore on 2022/01/10 at a park\n40625,2022/01/10,I did swimming on 2022/01/10.,I did swimming on 2022/01/10.\n40626,2022/01/10,I ate cereals for breakfast.,I ate cereals for breakfast.\n40627,2022/01/10,I ate indian food for lunch.,I ate indian food for lunch.\n40628,2022/01/10,\"I had sushi for dinner with Kayden, Carter, Emily, Andrew\",\"I had sushi for dinner with Kayden, Carter, Emily, Andrew\"\n40629,2022/01/10,\"I talked to Nevaeh, Lydia, Piper for 38 minutes in the morning.\",\"I talked to Nevaeh, Lydia, Piper for 38 minutes in the morning.\"\n40630,2022/01/10,\"I talked to Olivia, Layla for 48 minutes in the early afternoon.\",\"I talked to Olivia, Layla for 48 minutes in the early afternoon.\"\n40631,2022/01/10,\"I spent 36 talking to Lydia, Piper on various topics in the morning.\",\"I spent 36 talking to Lydia, Piper on various topics in the morning.\"\n40632,2022/01/10,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n40633,2022/01/10,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n40634,2022/01/11,\"I went grocery shopping with Andrew, Emily, Kayden, Carter. I bought some blackberries, bananas, orange juice, mango juice, guava juice, milk, and body lotion, shampoo\",\"I went grocery shopping with Andrew, Emily, Kayden, Carter. I bought some blackberries, bananas, orange juice, mango juice, guava juice, milk, and body lotion, shampoo\"\n40635,2022/01/11,I did hiking on 2022/01/11.,I did hiking on 2022/01/11.\n40636,2022/01/11,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n40637,2022/01/11,I had lunch with Carter. I ate tacos.,I had lunch with Carter. I ate tacos.\n40638,2022/01/11,I had dinner with Carter. I ate tacos.,I had dinner with Carter. I ate tacos.\n40639,2022/01/11,\"I talked to Piper, Claire for 42 minutes during lunch hours.\",\"I talked to Piper, Claire for 42 minutes during lunch hours.\"\n40640,2022/01/11,\"I spent 18 talking to Hazel, Rylee, Eva, Layla on various topics in the early evening.\",\"I spent 18 talking to Hazel, Rylee, Eva, Layla on various topics in the early evening.\"\n40641,2022/01/11,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n40642,2022/01/11,I watched a documentary for 45 minutes on TV today.,I watched a documentary for 45 minutes on TV today.\n40643,2022/01/12,\"I really enjoyed cooking chinese chicken wings, thai noodle salad, lo mein on 2022/01/12 with Emily, Carter at my place\",\"I really enjoyed cooking chinese chicken wings, thai noodle salad, lo mein on 2022/01/12 with Emily, Carter at my place\"\n40644,2022/01/12,I did hiking on 2022/01/12.,I did hiking on 2022/01/12.\n40645,2022/01/12,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n40646,2022/01/12,I had lunch. I ate steak.,I had lunch. I ate steak.\n40647,2022/01/12,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n40648,2022/01/12,\"I spent 22 talking to Layla, Claire, Olivia on various topics during lunch hours.\",\"I spent 22 talking to Layla, Claire, Olivia on various topics during lunch hours.\"\n40649,2022/01/12,\"I spent 35 talking to Rylee, Hazel, Kinsley on various topics in the early afternoon.\",\"I spent 35 talking to Rylee, Hazel, Kinsley on various topics in the early afternoon.\"\n40650,2022/01/12,\"I talked to Layla, Kinsley, Nora, Olivia for 52 minutes late in the evening.\",\"I talked to Layla, Kinsley, Nora, Olivia for 52 minutes late in the evening.\"\n40651,2022/01/12,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n40652,2022/01/12,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n40653,2022/01/13,I did HIIT on 2022/01/13.,I did HIIT on 2022/01/13.\n40654,2022/01/13,\"I had cereals for breakfast with Kayden, Carter, Emily\",\"I had cereals for breakfast with Kayden, Carter, Emily\"\n40655,2022/01/13,I ate indian food for lunch.,I ate indian food for lunch.\n40656,2022/01/13,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n40657,2022/01/13,\"I spent 55 talking to Piper, Avery on various topics in the early evening.\",\"I spent 55 talking to Piper, Avery on various topics in the early evening.\"\n40658,2022/01/13,\"I talked to Rylee, Olivia, Lydia for 9 minutes in the early evening.\",\"I talked to Rylee, Olivia, Lydia for 9 minutes in the early evening.\"\n40659,2022/01/13,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n40660,2022/01/13,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n40661,2022/01/14,\"On 2022/01/14, I took Grayson on a date to a restaurant\",\"On 2022/01/14, I took Grayson on a date to a restaurant\"\n40662,2022/01/14,I did HIIT on 2022/01/14.,I did HIIT on 2022/01/14.\n40663,2022/01/14,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n40664,2022/01/14,\"I had sushi for lunch with Hazel, Avery, Claire, Lydia\",\"I had sushi for lunch with Hazel, Avery, Claire, Lydia\"\n40665,2022/01/14,I ate a burger for dinner.,I ate a burger for dinner.\n40666,2022/01/14,\"I spent 50 talking to Hazel, Nevaeh, Rylee on various topics in the morning.\",\"I spent 50 talking to Hazel, Nevaeh, Rylee on various topics in the morning.\"\n40667,2022/01/14,\"I spent 20 talking to Nevaeh, Piper, Lydia, Eva on various topics in the early evening.\",\"I spent 20 talking to Nevaeh, Piper, Lydia, Eva on various topics in the early evening.\"\n40668,2022/01/14,I spent 32 talking to Eva on various topics during lunch hours.,I spent 32 talking to Eva on various topics during lunch hours.\n40669,2022/01/14,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n40670,2022/01/14,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n40671,2022/01/15,I did weight lifting on 2022/01/15.,I did weight lifting on 2022/01/15.\n40672,2022/01/15,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n40673,2022/01/15,I had lunch with Emily. I ate indian food.,I had lunch with Emily. I ate indian food.\n40674,2022/01/15,I had a burger for dinner with Benjamin,I had a burger for dinner with Benjamin\n40675,2022/01/15,\"I spent 26 talking to Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 26 talking to Nevaeh, Piper on various topics in the early afternoon.\"\n40676,2022/01/15,I talked to Piper for 21 minutes in the morning.,I talked to Piper for 21 minutes in the morning.\n40677,2022/01/15,\"I spent 10 talking to Nevaeh, Kinsley, Hazel on various topics late in the evening.\",\"I spent 10 talking to Nevaeh, Kinsley, Hazel on various topics late in the evening.\"\n40678,2022/01/15,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n40679,2022/01/15,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n40680,2022/01/16,I spent time gardening on 2022/01/16 with Nora.,I spent time gardening on 2022/01/16 with Nora.\n40681,2022/01/16,I did swimming on 2022/01/16.,I did swimming on 2022/01/16.\n40682,2022/01/16,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n40683,2022/01/16,I ate indian food for lunch.,I ate indian food for lunch.\n40684,2022/01/16,I had dinner with Andrew. I ate sandwich.,I had dinner with Andrew. I ate sandwich.\n40685,2022/01/16,\"I spent 24 talking to Lydia, Rylee, Layla, Eva on various topics in the early afternoon.\",\"I spent 24 talking to Lydia, Rylee, Layla, Eva on various topics in the early afternoon.\"\n40686,2022/01/16,\"I spent 39 talking to Rylee, Kinsley, Lydia on various topics late in the evening.\",\"I spent 39 talking to Rylee, Kinsley, Lydia on various topics late in the evening.\"\n40687,2022/01/16,I spent 28 talking to Piper on various topics during lunch hours.,I spent 28 talking to Piper on various topics during lunch hours.\n40688,2022/01/16,\"I talked to Eva, Hazel, Lydia, Nevaeh for 15 minutes in the late afternoon.\",\"I talked to Eva, Hazel, Lydia, Nevaeh for 15 minutes in the late afternoon.\"\n40689,2022/01/16,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n40690,2022/01/16,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n40691,2022/01/17,I went on a date with Maverick on 2022/01/17 at a restaurant,I went on a date with Maverick on 2022/01/17 at a restaurant\n40692,2022/01/17,\"I bought some raspberries, apricots, pears, nectarines, tea, apple juice, guava juice, pineapple juice, conditioner, paper towel, facial wash, mouthwash from the grocery store. I saw Benjamin, Willow at the grocery store.\",\"I bought some raspberries, apricots, pears, nectarines, tea, apple juice, guava juice, pineapple juice, conditioner, paper towel, facial wash, mouthwash from the grocery store. I saw Benjamin, Willow at the grocery store.\"\n40693,2022/01/17,I did swimming on 2022/01/17.,I did swimming on 2022/01/17.\n40694,2022/01/17,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n40695,2022/01/17,I ate chinese food for lunch.,I ate chinese food for lunch.\n40696,2022/01/17,I ate tacos for dinner.,I ate tacos for dinner.\n40697,2022/01/17,\"I spent 25 talking to Nevaeh, Lydia, Rylee on various topics late in the evening.\",\"I spent 25 talking to Nevaeh, Lydia, Rylee on various topics late in the evening.\"\n40698,2022/01/17,\"I talked to Piper, Nevaeh for 55 minutes late in the evening.\",\"I talked to Piper, Nevaeh for 55 minutes late in the evening.\"\n40699,2022/01/17,\"I talked to Piper, Claire for 35 minutes in the morning.\",\"I talked to Piper, Claire for 35 minutes in the morning.\"\n40700,2022/01/17,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n40701,2022/01/17,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n40702,2022/01/18,I did biking on 2022/01/18.,I did biking on 2022/01/18.\n40703,2022/01/18,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n40704,2022/01/18,I prepare tacos for lunch.,I prepare tacos for lunch.\n40705,2022/01/18,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n40706,2022/01/18,\"I talked to Rylee, Lydia for 24 minutes during lunch hours.\",\"I talked to Rylee, Lydia for 24 minutes during lunch hours.\"\n40707,2022/01/18,\"I talked to Kinsley, Piper for 51 minutes late in the evening.\",\"I talked to Kinsley, Piper for 51 minutes late in the evening.\"\n40708,2022/01/18,\"I spent 29 talking to Layla, Nevaeh, Piper, Olivia on various topics in the late afternoon.\",\"I spent 29 talking to Layla, Nevaeh, Piper, Olivia on various topics in the late afternoon.\"\n40709,2022/01/18,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n40710,2022/01/18,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n40711,2022/01/19,I did swimming on 2022/01/19.,I did swimming on 2022/01/19.\n40712,2022/01/19,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n40713,2022/01/19,\"I had lunch with Kayden, Emily. I ate chinese food.\",\"I had lunch with Kayden, Emily. I ate chinese food.\"\n40714,2022/01/19,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n40715,2022/01/19,\"I spent 53 talking to Eva, Olivia, Piper, Hazel on various topics in the early afternoon.\",\"I spent 53 talking to Eva, Olivia, Piper, Hazel on various topics in the early afternoon.\"\n40716,2022/01/19,\"I spent 23 talking to Kinsley, Claire, Hazel, Layla on various topics in the morning.\",\"I spent 23 talking to Kinsley, Claire, Hazel, Layla on various topics in the morning.\"\n40717,2022/01/19,\"I spent 36 talking to Piper, Olivia, Claire on various topics late in the evening.\",\"I spent 36 talking to Piper, Olivia, Claire on various topics late in the evening.\"\n40718,2022/01/19,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n40719,2022/01/19,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n40720,2022/01/20,I went on a date with Leonardo on 2022/01/20 at a park,I went on a date with Leonardo on 2022/01/20 at a park\n40721,2022/01/20,\"I had breakfast with Eva, Nevaeh, Nora, Kinsley, Olivia, Rylee, Hazel, Piper, Lydia, Layla, Avery, Claire. I ate cereals.\",\"I had breakfast with Eva, Nevaeh, Nora, Kinsley, Olivia, Rylee, Hazel, Piper, Lydia, Layla, Avery, Claire. I ate cereals.\"\n40722,2022/01/20,\"I had lunch with Nevaeh, Olivia, Claire, Layla, Avery, Hazel, Piper, Nora, Lydia. I ate fish and chips.\",\"I had lunch with Nevaeh, Olivia, Claire, Layla, Avery, Hazel, Piper, Nora, Lydia. I ate fish and chips.\"\n40723,2022/01/20,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n40724,2022/01/20,\"I talked to Piper, Lydia for 6 minutes in the early evening.\",\"I talked to Piper, Lydia for 6 minutes in the early evening.\"\n40725,2022/01/20,\"I talked to Olivia, Eva, Kinsley, Piper for 35 minutes during lunch hours.\",\"I talked to Olivia, Eva, Kinsley, Piper for 35 minutes during lunch hours.\"\n40726,2022/01/20,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n40727,2022/01/20,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n40728,2022/01/21,I spent time yoga on 2022/01/21 with Kayden.,I spent time yoga on 2022/01/21 with Kayden.\n40729,2022/01/21,\"I bought some nectarines, oranges, blackberries, mango juice, paper towel from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\",\"I bought some nectarines, oranges, blackberries, mango juice, paper towel from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\"\n40730,2022/01/21,I did hiking on 2022/01/21.,I did hiking on 2022/01/21.\n40731,2022/01/21,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n40732,2022/01/21,\"I had lunch with Layla, Kinsley, Piper, Olivia, Claire, Nevaeh, Lydia, Eva. I ate indian food.\",\"I had lunch with Layla, Kinsley, Piper, Olivia, Claire, Nevaeh, Lydia, Eva. I ate indian food.\"\n40733,2022/01/21,\"I had indian food for dinner with Willow, Avery, Benjamin\",\"I had indian food for dinner with Willow, Avery, Benjamin\"\n40734,2022/01/21,I spent 43 talking to Piper on various topics in the late afternoon.,I spent 43 talking to Piper on various topics in the late afternoon.\n40735,2022/01/21,\"I spent 43 talking to Nevaeh, Olivia on various topics in the morning.\",\"I spent 43 talking to Nevaeh, Olivia on various topics in the morning.\"\n40736,2022/01/21,\"I spent 49 talking to Lydia, Claire, Nora, Kinsley on various topics in the early evening.\",\"I spent 49 talking to Lydia, Claire, Nora, Kinsley on various topics in the early evening.\"\n40737,2022/01/21,\"I spent 31 talking to Avery, Rylee, Lydia on various topics late in the evening.\",\"I spent 31 talking to Avery, Rylee, Lydia on various topics late in the evening.\"\n40738,2022/01/21,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n40739,2022/01/21,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n40740,2022/01/22,\"I bought some mandarins, chocolate milk, conditioner from the grocery store. I saw Avery, Benjamin, Willow at the grocery store.\",\"I bought some mandarins, chocolate milk, conditioner from the grocery store. I saw Avery, Benjamin, Willow at the grocery store.\"\n40741,2022/01/22,I did biking on 2022/01/22.,I did biking on 2022/01/22.\n40742,2022/01/22,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n40743,2022/01/22,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n40744,2022/01/22,I prepare indian food for dinner.,I prepare indian food for dinner.\n40745,2022/01/22,\"I talked to Avery, Kinsley, Eva for 32 minutes during lunch hours.\",\"I talked to Avery, Kinsley, Eva for 32 minutes during lunch hours.\"\n40746,2022/01/22,I talked to Hazel for 37 minutes in the morning.,I talked to Hazel for 37 minutes in the morning.\n40747,2022/01/22,\"I talked to Hazel, Eva, Avery for 39 minutes in the early evening.\",\"I talked to Hazel, Eva, Avery for 39 minutes in the early evening.\"\n40748,2022/01/22,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n40749,2022/01/22,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n40750,2022/01/23,I did biking on 2022/01/23.,I did biking on 2022/01/23.\n40751,2022/01/23,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n40752,2022/01/23,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n40753,2022/01/23,\"I had sushi for dinner with Avery, Jackson, Willow\",\"I had sushi for dinner with Avery, Jackson, Willow\"\n40754,2022/01/23,\"I spent 29 talking to Lydia, Piper, Nevaeh, Kinsley on various topics during lunch hours.\",\"I spent 29 talking to Lydia, Piper, Nevaeh, Kinsley on various topics during lunch hours.\"\n40755,2022/01/23,\"I spent 28 talking to Nora, Rylee on various topics in the morning.\",\"I spent 28 talking to Nora, Rylee on various topics in the morning.\"\n40756,2022/01/23,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n40757,2022/01/23,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n40758,2022/01/24,I went on a date with Parker on 2022/01/24 at a coffee Shop,I went on a date with Parker on 2022/01/24 at a coffee Shop\n40759,2022/01/24,I did swimming on 2022/01/24.,I did swimming on 2022/01/24.\n40760,2022/01/24,\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate cereals.\",\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate cereals.\"\n40761,2022/01/24,I had chinese food for lunch with Carter,I had chinese food for lunch with Carter\n40762,2022/01/24,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n40763,2022/01/24,\"I talked to Nora, Eva for 23 minutes in the morning.\",\"I talked to Nora, Eva for 23 minutes in the morning.\"\n40764,2022/01/24,I spent 32 talking to Layla on various topics during lunch hours.,I spent 32 talking to Layla on various topics during lunch hours.\n40765,2022/01/24,\"I spent 25 talking to Nevaeh, Claire, Rylee on various topics during lunch hours.\",\"I spent 25 talking to Nevaeh, Claire, Rylee on various topics during lunch hours.\"\n40766,2022/01/24,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n40767,2022/01/24,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n40768,2022/01/25,\"On 2022/01/25, I took Ariana on a date to a park\",\"On 2022/01/25, I took Ariana on a date to a park\"\n40769,2022/01/25,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n40770,2022/01/25,I ate indian food for lunch.,I ate indian food for lunch.\n40771,2022/01/25,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n40772,2022/01/25,\"I spent 10 talking to Nora, Kinsley on various topics in the early afternoon.\",\"I spent 10 talking to Nora, Kinsley on various topics in the early afternoon.\"\n40773,2022/01/25,I spent 36 talking to Olivia on various topics in the morning.,I spent 36 talking to Olivia on various topics in the morning.\n40774,2022/01/25,\"I talked to Hazel, Olivia for 15 minutes during lunch hours.\",\"I talked to Hazel, Olivia for 15 minutes during lunch hours.\"\n40775,2022/01/25,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n40776,2022/01/25,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n40777,2022/01/26,I spent some time gardening on 2022/01/26.,I spent some time gardening on 2022/01/26.\n40778,2022/01/26,I did hiking on 2022/01/26.,I did hiking on 2022/01/26.\n40779,2022/01/26,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n40780,2022/01/26,I ate pasta for lunch.,I ate pasta for lunch.\n40781,2022/01/26,I had chinese food for dinner with Andrew,I had chinese food for dinner with Andrew\n40782,2022/01/26,\"I spent 40 talking to Avery, Olivia, Rylee, Piper on various topics in the late afternoon.\",\"I spent 40 talking to Avery, Olivia, Rylee, Piper on various topics in the late afternoon.\"\n40783,2022/01/26,\"I talked to Avery, Claire, Lydia, Olivia for 16 minutes in the early evening.\",\"I talked to Avery, Claire, Lydia, Olivia for 16 minutes in the early evening.\"\n40784,2022/01/26,\"I spent 47 talking to Piper, Nora, Layla, Piper on various topics in the early evening.\",\"I spent 47 talking to Piper, Nora, Layla, Piper on various topics in the early evening.\"\n40785,2022/01/26,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n40786,2022/01/26,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n40787,2022/01/27,I did hiking on 2022/01/27.,I did hiking on 2022/01/27.\n40788,2022/01/27,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n40789,2022/01/27,I prepare sushi for lunch.,I prepare sushi for lunch.\n40790,2022/01/27,I prepare indian food for dinner.,I prepare indian food for dinner.\n40791,2022/01/27,I spent 44 talking to Lydia on various topics in the morning.,I spent 44 talking to Lydia on various topics in the morning.\n40792,2022/01/27,\"I spent 20 talking to Nevaeh, Lydia, Rylee on various topics during lunch hours.\",\"I spent 20 talking to Nevaeh, Lydia, Rylee on various topics during lunch hours.\"\n40793,2022/01/27,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n40794,2022/01/27,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n40795,2022/01/28,\"I went grocery shopping. I bought some oranges, nectarines, blueberries, peaches, tea, pineapple juice, chocolate milk, and toilet paper, body lotion, shampoo, paper towel\",\"I went grocery shopping. I bought some oranges, nectarines, blueberries, peaches, tea, pineapple juice, chocolate milk, and toilet paper, body lotion, shampoo, paper towel\"\n40796,2022/01/28,I did swimming on 2022/01/28.,I did swimming on 2022/01/28.\n40797,2022/01/28,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n40798,2022/01/28,I prepare pasta for lunch.,I prepare pasta for lunch.\n40799,2022/01/28,\"I had sushi for dinner with Kayden, Emily, Carter\",\"I had sushi for dinner with Kayden, Emily, Carter\"\n40800,2022/01/28,\"I talked to Eva, Layla, Piper for 55 minutes in the late afternoon.\",\"I talked to Eva, Layla, Piper for 55 minutes in the late afternoon.\"\n40801,2022/01/28,\"I talked to Eva, Layla for 14 minutes in the early afternoon.\",\"I talked to Eva, Layla for 14 minutes in the early afternoon.\"\n40802,2022/01/28,\"I talked to Piper, Claire, Avery, Nora for 18 minutes in the early evening.\",\"I talked to Piper, Claire, Avery, Nora for 18 minutes in the early evening.\"\n40803,2022/01/28,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n40804,2022/01/28,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n40805,2022/01/29,I spent some time working out on 2022/01/29.,I spent some time working out on 2022/01/29.\n40806,2022/01/29,I did hiking on 2022/01/29.,I did hiking on 2022/01/29.\n40807,2022/01/29,\"I had toast and cheese for breakfast with Benjamin, Jackson, Willow\",\"I had toast and cheese for breakfast with Benjamin, Jackson, Willow\"\n40808,2022/01/29,I ate sushi for lunch.,I ate sushi for lunch.\n40809,2022/01/29,I had sushi for dinner with Benjamin,I had sushi for dinner with Benjamin\n40810,2022/01/29,\"I talked to Claire, Hazel, Piper, Rylee for 33 minutes in the late afternoon.\",\"I talked to Claire, Hazel, Piper, Rylee for 33 minutes in the late afternoon.\"\n40811,2022/01/29,\"I talked to Lydia, Claire for 52 minutes late in the evening.\",\"I talked to Lydia, Claire for 52 minutes late in the evening.\"\n40812,2022/01/29,\"I talked to Layla, Hazel for 52 minutes during lunch hours.\",\"I talked to Layla, Hazel for 52 minutes during lunch hours.\"\n40813,2022/01/29,\"I talked to Avery, Eva for 46 minutes in the early evening.\",\"I talked to Avery, Eva for 46 minutes in the early evening.\"\n40814,2022/01/29,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n40815,2022/01/29,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n40816,2022/01/30,\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate peanut-butter-jam.\"\n40817,2022/01/30,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n40818,2022/01/30,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n40819,2022/01/30,\"I spent 35 talking to Layla, Nevaeh, Piper, Lydia on various topics in the late afternoon.\",\"I spent 35 talking to Layla, Nevaeh, Piper, Lydia on various topics in the late afternoon.\"\n40820,2022/01/30,\"I spent 23 talking to Rylee, Kinsley, Nevaeh on various topics late in the evening.\",\"I spent 23 talking to Rylee, Kinsley, Nevaeh on various topics late in the evening.\"\n40821,2022/01/30,I talked to Kinsley for 34 minutes in the morning.,I talked to Kinsley for 34 minutes in the morning.\n40822,2022/01/30,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n40823,2022/01/30,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n40824,2022/01/31,I went on a date with Christian on 2022/01/31 at a coffee Shop,I went on a date with Christian on 2022/01/31 at a coffee Shop\n40825,2022/01/31,I did biking on 2022/01/31.,I did biking on 2022/01/31.\n40826,2022/01/31,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n40827,2022/01/31,\"I had steak for lunch with Avery, Eva, Nora, Olivia, Piper, Nevaeh\",\"I had steak for lunch with Avery, Eva, Nora, Olivia, Piper, Nevaeh\"\n40828,2022/01/31,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n40829,2022/01/31,\"I spent 43 talking to Nevaeh, Piper, Nora on various topics late in the evening.\",\"I spent 43 talking to Nevaeh, Piper, Nora on various topics late in the evening.\"\n40830,2022/01/31,\"I spent 22 talking to Eva, Hazel, Piper on various topics in the late afternoon.\",\"I spent 22 talking to Eva, Hazel, Piper on various topics in the late afternoon.\"\n40831,2022/01/31,\"I spent 39 talking to Piper, Layla, Avery, Kinsley on various topics in the late afternoon.\",\"I spent 39 talking to Piper, Layla, Avery, Kinsley on various topics in the late afternoon.\"\n40832,2022/01/31,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n40833,2022/01/31,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n40834,2022/02/01,I did running on 2022/02/01.,I did running on 2022/02/01.\n40835,2022/02/01,\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate eggs, sausages, and bread.\"\n40836,2022/02/01,\"I had lunch with Emily, Andrew, Kayden. I ate fish and chips.\",\"I had lunch with Emily, Andrew, Kayden. I ate fish and chips.\"\n40837,2022/02/01,I prepare steak for dinner.,I prepare steak for dinner.\n40838,2022/02/01,\"I talked to Kinsley, Olivia, Claire, Lydia for 45 minutes late in the evening.\",\"I talked to Kinsley, Olivia, Claire, Lydia for 45 minutes late in the evening.\"\n40839,2022/02/01,\"I spent 25 talking to Nora, Avery on various topics in the early evening.\",\"I spent 25 talking to Nora, Avery on various topics in the early evening.\"\n40840,2022/02/01,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n40841,2022/02/01,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n40842,2022/02/02,I did hiking on 2022/02/02.,I did hiking on 2022/02/02.\n40843,2022/02/02,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n40844,2022/02/02,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n40845,2022/02/02,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n40846,2022/02/02,\"I spent 46 talking to Hazel, Nevaeh on various topics in the early evening.\",\"I spent 46 talking to Hazel, Nevaeh on various topics in the early evening.\"\n40847,2022/02/02,\"I spent 28 talking to Eva, Nora on various topics in the early evening.\",\"I spent 28 talking to Eva, Nora on various topics in the early evening.\"\n40848,2022/02/02,I talked to Olivia for 38 minutes late in the evening.,I talked to Olivia for 38 minutes late in the evening.\n40849,2022/02/02,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n40850,2022/02/02,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n40851,2022/02/03,\"I was cooking vietnamese coffee on 2022/02/03 with Emily, Carter, Andrew at my place\",\"I was cooking vietnamese coffee on 2022/02/03 with Emily, Carter, Andrew at my place\"\n40852,2022/02/03,\"I bought some raspberries, apples, sports drinks, chocolate milk, toilet paper, mouthwash from the grocery store. I saw Rylee, Piper, Kinsley, Hazel, Piper, Olivia, Lydia, Layla, Nevaeh, Eva, Avery at the grocery store.\",\"I bought some raspberries, apples, sports drinks, chocolate milk, toilet paper, mouthwash from the grocery store. I saw Rylee, Piper, Kinsley, Hazel, Piper, Olivia, Lydia, Layla, Nevaeh, Eva, Avery at the grocery store.\"\n40853,2022/02/03,I did hiking on 2022/02/03.,I did hiking on 2022/02/03.\n40854,2022/02/03,\"I had breakfast with Carter, Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\"\n40855,2022/02/03,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n40856,2022/02/03,I ate indian food for dinner.,I ate indian food for dinner.\n40857,2022/02/03,\"I spent 35 talking to Nora, Layla, Eva, Lydia on various topics in the late afternoon.\",\"I spent 35 talking to Nora, Layla, Eva, Lydia on various topics in the late afternoon.\"\n40858,2022/02/03,\"I talked to Nora, Eva, Lydia, Piper for 19 minutes during lunch hours.\",\"I talked to Nora, Eva, Lydia, Piper for 19 minutes during lunch hours.\"\n40859,2022/02/03,\"I spent 40 talking to Rylee, Eva, Olivia, Claire on various topics in the late afternoon.\",\"I spent 40 talking to Rylee, Eva, Olivia, Claire on various topics in the late afternoon.\"\n40860,2022/02/03,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n40861,2022/02/03,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n40862,2022/02/04,I spent some time yoga on 2022/02/04.,I spent some time yoga on 2022/02/04.\n40863,2022/02/04,I did weight lifting on 2022/02/04.,I did weight lifting on 2022/02/04.\n40864,2022/02/04,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n40865,2022/02/04,I prepare indian food for lunch.,I prepare indian food for lunch.\n40866,2022/02/04,\"I had sandwich for dinner with Andrew, Emily\",\"I had sandwich for dinner with Andrew, Emily\"\n40867,2022/02/04,I talked to Piper for 52 minutes in the early afternoon.,I talked to Piper for 52 minutes in the early afternoon.\n40868,2022/02/04,\"I spent 6 talking to Hazel, Layla, Piper, Eva on various topics in the late afternoon.\",\"I spent 6 talking to Hazel, Layla, Piper, Eva on various topics in the late afternoon.\"\n40869,2022/02/04,\"I spent 25 talking to Hazel, Nevaeh on various topics in the morning.\",\"I spent 25 talking to Hazel, Nevaeh on various topics in the morning.\"\n40870,2022/02/04,\"I talked to Eva, Lydia for 35 minutes in the morning.\",\"I talked to Eva, Lydia for 35 minutes in the morning.\"\n40871,2022/02/04,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n40872,2022/02/04,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n40873,2022/02/05,\"I went grocery shopping. I bought some clementines, pineapple juice, orange juice, soda, sports drinks, and facial wash\",\"I went grocery shopping. I bought some clementines, pineapple juice, orange juice, soda, sports drinks, and facial wash\"\n40874,2022/02/05,I did biking on 2022/02/05.,I did biking on 2022/02/05.\n40875,2022/02/05,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n40876,2022/02/05,\"I had steak for lunch with Jackson, Willow, Avery, Benjamin\",\"I had steak for lunch with Jackson, Willow, Avery, Benjamin\"\n40877,2022/02/05,\"I had dinner with Kayden, Andrew. I ate indian food.\",\"I had dinner with Kayden, Andrew. I ate indian food.\"\n40878,2022/02/05,\"I spent 25 talking to Nora, Hazel, Avery on various topics late in the evening.\",\"I spent 25 talking to Nora, Hazel, Avery on various topics late in the evening.\"\n40879,2022/02/05,I talked to Rylee for 27 minutes in the early afternoon.,I talked to Rylee for 27 minutes in the early afternoon.\n40880,2022/02/05,\"I talked to Nora, Olivia for 46 minutes in the morning.\",\"I talked to Nora, Olivia for 46 minutes in the morning.\"\n40881,2022/02/05,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n40882,2022/02/05,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n40883,2022/02/06,I did weight lifting on 2022/02/06.,I did weight lifting on 2022/02/06.\n40884,2022/02/06,\"I had breakfast with Kinsley, Rylee, Layla, Avery, Olivia, Piper, Piper. I ate cereals.\",\"I had breakfast with Kinsley, Rylee, Layla, Avery, Olivia, Piper, Piper. I ate cereals.\"\n40885,2022/02/06,I ate a burger for lunch.,I ate a burger for lunch.\n40886,2022/02/06,I prepare a burger for dinner.,I prepare a burger for dinner.\n40887,2022/02/06,I spent 10 talking to Eva on various topics in the late afternoon.,I spent 10 talking to Eva on various topics in the late afternoon.\n40888,2022/02/06,I spent 45 talking to Piper on various topics in the morning.,I spent 45 talking to Piper on various topics in the morning.\n40889,2022/02/06,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n40890,2022/02/06,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n40891,2022/02/07,\"On 2022/02/07, I took Mila on a date to a coffee Shop\",\"On 2022/02/07, I took Mila on a date to a coffee Shop\"\n40892,2022/02/07,I did swimming on 2022/02/07.,I did swimming on 2022/02/07.\n40893,2022/02/07,I had peanut-butter-jam for breakfast with Olivia,I had peanut-butter-jam for breakfast with Olivia\n40894,2022/02/07,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n40895,2022/02/07,I ate steak for dinner.,I ate steak for dinner.\n40896,2022/02/07,\"I talked to Lydia, Hazel, Layla, Piper for 30 minutes in the early evening.\",\"I talked to Lydia, Hazel, Layla, Piper for 30 minutes in the early evening.\"\n40897,2022/02/07,\"I spent 32 talking to Nevaeh, Hazel on various topics in the early afternoon.\",\"I spent 32 talking to Nevaeh, Hazel on various topics in the early afternoon.\"\n40898,2022/02/07,\"I spent 27 talking to Avery, Piper, Nora on various topics in the early afternoon.\",\"I spent 27 talking to Avery, Piper, Nora on various topics in the early afternoon.\"\n40899,2022/02/07,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n40900,2022/02/07,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n40901,2022/02/08,I did swimming on 2022/02/08.,I did swimming on 2022/02/08.\n40902,2022/02/08,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n40903,2022/02/08,I ate sandwich for lunch.,I ate sandwich for lunch.\n40904,2022/02/08,I prepare pasta for dinner.,I prepare pasta for dinner.\n40905,2022/02/08,\"I talked to Piper, Nora, Nevaeh, Rylee for 49 minutes in the early afternoon.\",\"I talked to Piper, Nora, Nevaeh, Rylee for 49 minutes in the early afternoon.\"\n40906,2022/02/08,I talked to Claire for 34 minutes in the morning.,I talked to Claire for 34 minutes in the morning.\n40907,2022/02/08,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n40908,2022/02/08,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n40909,2022/02/09,\"On 2022/02/09, I took Aiden on a date to a park\",\"On 2022/02/09, I took Aiden on a date to a park\"\n40910,2022/02/09,I did HIIT on 2022/02/09.,I did HIIT on 2022/02/09.\n40911,2022/02/09,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n40912,2022/02/09,\"I had chinese food for lunch with Emily, Carter\",\"I had chinese food for lunch with Emily, Carter\"\n40913,2022/02/09,\"I had dinner with Andrew, Kayden, Emily, Carter. I ate fish and chips.\",\"I had dinner with Andrew, Kayden, Emily, Carter. I ate fish and chips.\"\n40914,2022/02/09,\"I spent 36 talking to Hazel, Claire on various topics in the early afternoon.\",\"I spent 36 talking to Hazel, Claire on various topics in the early afternoon.\"\n40915,2022/02/09,\"I talked to Olivia, Layla, Piper for 23 minutes in the late afternoon.\",\"I talked to Olivia, Layla, Piper for 23 minutes in the late afternoon.\"\n40916,2022/02/09,I talked to Kinsley for 15 minutes late in the evening.,I talked to Kinsley for 15 minutes late in the evening.\n40917,2022/02/09,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n40918,2022/02/09,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n40919,2022/02/10,\"I went grocery shopping. I bought some bananas, mandarins, apricots, strawberries, guava juice, sports drinks, and paper towel, conditioner, body lotion, shampoo\",\"I went grocery shopping. I bought some bananas, mandarins, apricots, strawberries, guava juice, sports drinks, and paper towel, conditioner, body lotion, shampoo\"\n40920,2022/02/10,I did biking on 2022/02/10.,I did biking on 2022/02/10.\n40921,2022/02/10,\"I had breakfast with Kayden, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Andrew. I ate peanut-butter-jam.\"\n40922,2022/02/10,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n40923,2022/02/10,I prepare a burger for dinner.,I prepare a burger for dinner.\n40924,2022/02/10,\"I talked to Kinsley, Rylee, Nevaeh, Piper for 14 minutes during lunch hours.\",\"I talked to Kinsley, Rylee, Nevaeh, Piper for 14 minutes during lunch hours.\"\n40925,2022/02/10,\"I spent 36 talking to Nevaeh, Avery, Nora on various topics during lunch hours.\",\"I spent 36 talking to Nevaeh, Avery, Nora on various topics during lunch hours.\"\n40926,2022/02/10,I spent 27 minutes on social media today.,I spent 27 minutes on social media today.\n40927,2022/02/10,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n40928,2022/02/11,I really enjoyed meditation on 2022/02/11,I really enjoyed meditation on 2022/02/11\n40929,2022/02/11,I did swimming on 2022/02/11.,I did swimming on 2022/02/11.\n40930,2022/02/11,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n40931,2022/02/11,I ate tacos for lunch.,I ate tacos for lunch.\n40932,2022/02/11,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n40933,2022/02/11,\"I spent 35 talking to Olivia, Piper on various topics during lunch hours.\",\"I spent 35 talking to Olivia, Piper on various topics during lunch hours.\"\n40934,2022/02/11,\"I talked to Claire, Layla for 34 minutes in the late afternoon.\",\"I talked to Claire, Layla for 34 minutes in the late afternoon.\"\n40935,2022/02/11,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n40936,2022/02/11,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n40937,2022/02/12,\"I bought some guava, chocolate milk, mouth wash, toothbrush from the grocery store. I saw Claire, Nevaeh, Piper, Avery, Lydia, Nora, Olivia, Kinsley, Piper, Layla, Rylee, Eva, Hazel at the grocery store.\",\"I bought some guava, chocolate milk, mouth wash, toothbrush from the grocery store. I saw Claire, Nevaeh, Piper, Avery, Lydia, Nora, Olivia, Kinsley, Piper, Layla, Rylee, Eva, Hazel at the grocery store.\"\n40938,2022/02/12,I did weight lifting on 2022/02/12.,I did weight lifting on 2022/02/12.\n40939,2022/02/12,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n40940,2022/02/12,I had tacos for lunch with Avery,I had tacos for lunch with Avery\n40941,2022/02/12,I prepare a burger for dinner.,I prepare a burger for dinner.\n40942,2022/02/12,\"I spent 27 talking to Nevaeh, Piper on various topics in the morning.\",\"I spent 27 talking to Nevaeh, Piper on various topics in the morning.\"\n40943,2022/02/12,\"I talked to Lydia, Layla, Piper for 9 minutes in the late afternoon.\",\"I talked to Lydia, Layla, Piper for 9 minutes in the late afternoon.\"\n40944,2022/02/12,\"I spent 34 talking to Avery, Kinsley, Layla, Rylee on various topics in the morning.\",\"I spent 34 talking to Avery, Kinsley, Layla, Rylee on various topics in the morning.\"\n40945,2022/02/12,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n40946,2022/02/12,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n40947,2022/02/13,\"On 2022/02/13, I took Leilani on a date to a park\",\"On 2022/02/13, I took Leilani on a date to a park\"\n40948,2022/02/13,I did HIIT on 2022/02/13.,I did HIIT on 2022/02/13.\n40949,2022/02/13,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n40950,2022/02/13,I prepare a burger for lunch.,I prepare a burger for lunch.\n40951,2022/02/13,\"I had fish and chips for dinner with Carter, Kayden, Andrew\",\"I had fish and chips for dinner with Carter, Kayden, Andrew\"\n40952,2022/02/13,\"I talked to Layla, Piper, Nora, Olivia for 15 minutes in the late afternoon.\",\"I talked to Layla, Piper, Nora, Olivia for 15 minutes in the late afternoon.\"\n40953,2022/02/13,\"I spent 12 talking to Claire, Nora on various topics in the early afternoon.\",\"I spent 12 talking to Claire, Nora on various topics in the early afternoon.\"\n40954,2022/02/13,I talked to Piper for 31 minutes in the early evening.,I talked to Piper for 31 minutes in the early evening.\n40955,2022/02/13,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n40956,2022/02/13,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n40957,2022/02/14,I did running on 2022/02/14.,I did running on 2022/02/14.\n40958,2022/02/14,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n40959,2022/02/14,\"I had lunch with Andrew, Emily. I ate a burger.\",\"I had lunch with Andrew, Emily. I ate a burger.\"\n40960,2022/02/14,I prepare indian food for dinner.,I prepare indian food for dinner.\n40961,2022/02/14,\"I talked to Claire, Layla, Lydia, Nevaeh for 26 minutes during lunch hours.\",\"I talked to Claire, Layla, Lydia, Nevaeh for 26 minutes during lunch hours.\"\n40962,2022/02/14,\"I spent 10 talking to Kinsley, Piper, Rylee on various topics in the late afternoon.\",\"I spent 10 talking to Kinsley, Piper, Rylee on various topics in the late afternoon.\"\n40963,2022/02/14,\"I spent 14 talking to Nora, Rylee, Eva, Claire on various topics in the morning.\",\"I spent 14 talking to Nora, Rylee, Eva, Claire on various topics in the morning.\"\n40964,2022/02/14,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n40965,2022/02/14,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n40966,2022/02/15,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n40967,2022/02/15,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n40968,2022/02/15,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n40969,2022/02/15,\"I spent 52 talking to Layla, Rylee, Piper, Lydia on various topics in the late afternoon.\",\"I spent 52 talking to Layla, Rylee, Piper, Lydia on various topics in the late afternoon.\"\n40970,2022/02/15,\"I talked to Avery, Piper for 52 minutes in the early afternoon.\",\"I talked to Avery, Piper for 52 minutes in the early afternoon.\"\n40971,2022/02/15,\"I talked to Layla, Eva, Nora, Lydia for 47 minutes in the late afternoon.\",\"I talked to Layla, Eva, Nora, Lydia for 47 minutes in the late afternoon.\"\n40972,2022/02/15,I spent 6 minutes on social media today.,I spent 6 minutes on social media today.\n40973,2022/02/15,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n40974,2022/02/16,I did swimming on 2022/02/16.,I did swimming on 2022/02/16.\n40975,2022/02/16,\"I had breakfast with Eva, Nora, Piper, Nevaeh, Lydia, Olivia. I ate oatmeal.\",\"I had breakfast with Eva, Nora, Piper, Nevaeh, Lydia, Olivia. I ate oatmeal.\"\n40976,2022/02/16,I ate a burger for lunch.,I ate a burger for lunch.\n40977,2022/02/16,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n40978,2022/02/16,\"I spent 48 talking to Hazel, Avery, Piper on various topics in the late afternoon.\",\"I spent 48 talking to Hazel, Avery, Piper on various topics in the late afternoon.\"\n40979,2022/02/16,\"I talked to Nevaeh, Olivia, Kinsley for 47 minutes in the morning.\",\"I talked to Nevaeh, Olivia, Kinsley for 47 minutes in the morning.\"\n40980,2022/02/16,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n40981,2022/02/16,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n40982,2022/02/17,\"On 2022/02/17, I took Amelia on a date to a restaurant\",\"On 2022/02/17, I took Amelia on a date to a restaurant\"\n40983,2022/02/17,I did weight lifting on 2022/02/17.,I did weight lifting on 2022/02/17.\n40984,2022/02/17,\"I had breakfast with Carter, Kayden, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Kayden, Andrew. I ate eggs, sausages, and bread.\"\n40985,2022/02/17,I prepare steak for lunch.,I prepare steak for lunch.\n40986,2022/02/17,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n40987,2022/02/17,\"I spent 27 talking to Nevaeh, Hazel, Layla on various topics late in the evening.\",\"I spent 27 talking to Nevaeh, Hazel, Layla on various topics late in the evening.\"\n40988,2022/02/17,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n40989,2022/02/17,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n40990,2022/02/18,\"I went grocery shopping with Jackson, Avery, Benjamin, Willow. I bought some blackberries, peaches, mandarins, pineapple juice, orange juice, tea, sports drinks, and shaving cream, mouthwash, toilet paper\",\"I went grocery shopping with Jackson, Avery, Benjamin, Willow. I bought some blackberries, peaches, mandarins, pineapple juice, orange juice, tea, sports drinks, and shaving cream, mouthwash, toilet paper\"\n40991,2022/02/18,I did hiking on 2022/02/18.,I did hiking on 2022/02/18.\n40992,2022/02/18,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n40993,2022/02/18,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n40994,2022/02/18,I prepare pasta for dinner.,I prepare pasta for dinner.\n40995,2022/02/18,\"I talked to Nevaeh, Layla, Avery for 50 minutes during lunch hours.\",\"I talked to Nevaeh, Layla, Avery for 50 minutes during lunch hours.\"\n40996,2022/02/18,\"I talked to Layla, Nevaeh, Lydia, Rylee for 54 minutes in the morning.\",\"I talked to Layla, Nevaeh, Lydia, Rylee for 54 minutes in the morning.\"\n40997,2022/02/18,\"I talked to Lydia, Olivia for 28 minutes during lunch hours.\",\"I talked to Lydia, Olivia for 28 minutes during lunch hours.\"\n40998,2022/02/18,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n40999,2022/02/18,I spent 41 minutes watching a movie on TV today.,I spent 41 minutes watching a movie on TV today.\n41000,2022/02/19,I did biking on 2022/02/19.,I did biking on 2022/02/19.\n41001,2022/02/19,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n41002,2022/02/19,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n41003,2022/02/19,I prepare sushi for dinner.,I prepare sushi for dinner.\n41004,2022/02/19,\"I talked to Piper, Eva, Claire for 13 minutes late in the evening.\",\"I talked to Piper, Eva, Claire for 13 minutes late in the evening.\"\n41005,2022/02/19,\"I talked to Hazel, Avery, Piper for 5 minutes in the morning.\",\"I talked to Hazel, Avery, Piper for 5 minutes in the morning.\"\n41006,2022/02/19,\"I spent 9 talking to Nora, Nevaeh on various topics in the morning.\",\"I spent 9 talking to Nora, Nevaeh on various topics in the morning.\"\n41007,2022/02/19,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n41008,2022/02/19,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n41009,2022/02/20,\"I went grocery shopping. I bought some pears, nectarines, oranges, pineapple juice, and mouthwash, toothbrush\",\"I went grocery shopping. I bought some pears, nectarines, oranges, pineapple juice, and mouthwash, toothbrush\"\n41010,2022/02/20,I did swimming on 2022/02/20.,I did swimming on 2022/02/20.\n41011,2022/02/20,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n41012,2022/02/20,I prepare tacos for lunch.,I prepare tacos for lunch.\n41013,2022/02/20,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n41014,2022/02/20,I talked to Olivia for 50 minutes in the morning.,I talked to Olivia for 50 minutes in the morning.\n41015,2022/02/20,\"I spent 23 talking to Avery, Layla on various topics in the early afternoon.\",\"I spent 23 talking to Avery, Layla on various topics in the early afternoon.\"\n41016,2022/02/20,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n41017,2022/02/20,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n41018,2022/02/21,I did biking on 2022/02/21.,I did biking on 2022/02/21.\n41019,2022/02/21,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n41020,2022/02/21,\"I had lunch with Kayden, Andrew, Carter. I ate tacos.\",\"I had lunch with Kayden, Andrew, Carter. I ate tacos.\"\n41021,2022/02/21,I had dinner. I ate steak.,I had dinner. I ate steak.\n41022,2022/02/21,\"I spent 44 talking to Nevaeh, Avery on various topics in the early evening.\",\"I spent 44 talking to Nevaeh, Avery on various topics in the early evening.\"\n41023,2022/02/21,\"I spent 28 talking to Kinsley, Rylee, Avery, Eva on various topics in the morning.\",\"I spent 28 talking to Kinsley, Rylee, Avery, Eva on various topics in the morning.\"\n41024,2022/02/21,I talked to Layla for 47 minutes during lunch hours.,I talked to Layla for 47 minutes during lunch hours.\n41025,2022/02/21,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n41026,2022/02/21,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n41027,2022/02/22,I did running on 2022/02/22.,I did running on 2022/02/22.\n41028,2022/02/22,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n41029,2022/02/22,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n41030,2022/02/22,I ate sandwich for dinner.,I ate sandwich for dinner.\n41031,2022/02/22,\"I talked to Nora, Eva, Rylee for 55 minutes late in the evening.\",\"I talked to Nora, Eva, Rylee for 55 minutes late in the evening.\"\n41032,2022/02/22,\"I talked to Avery, Lydia for 48 minutes in the morning.\",\"I talked to Avery, Lydia for 48 minutes in the morning.\"\n41033,2022/02/22,I spent 24 talking to Piper on various topics in the morning.,I spent 24 talking to Piper on various topics in the morning.\n41034,2022/02/22,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n41035,2022/02/22,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n41036,2022/02/23,I did weight lifting on 2022/02/23.,I did weight lifting on 2022/02/23.\n41037,2022/02/23,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n41038,2022/02/23,\"I had sushi for lunch with Emily, Carter, Kayden\",\"I had sushi for lunch with Emily, Carter, Kayden\"\n41039,2022/02/23,I had dinner with Benjamin. I ate chinese food.,I had dinner with Benjamin. I ate chinese food.\n41040,2022/02/23,\"I talked to Nevaeh, Kinsley for 8 minutes in the late afternoon.\",\"I talked to Nevaeh, Kinsley for 8 minutes in the late afternoon.\"\n41041,2022/02/23,I talked to Avery for 37 minutes in the early evening.,I talked to Avery for 37 minutes in the early evening.\n41042,2022/02/23,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n41043,2022/02/23,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n41044,2022/02/24,\"I was baking chocolate skillet cake on 2022/02/24 with Kayden, Andrew, Emily, Carter at my place\",\"I was baking chocolate skillet cake on 2022/02/24 with Kayden, Andrew, Emily, Carter at my place\"\n41045,2022/02/24,\"I bought some blueberries, orange juice, milk, tea, shampoo, body lotion, paper towel from the grocery store. I saw Carter, Andrew at the grocery store.\",\"I bought some blueberries, orange juice, milk, tea, shampoo, body lotion, paper towel from the grocery store. I saw Carter, Andrew at the grocery store.\"\n41046,2022/02/24,I did hiking on 2022/02/24.,I did hiking on 2022/02/24.\n41047,2022/02/24,\"I had breakfast with Benjamin, Jackson, Avery, Willow. I ate pancakes.\",\"I had breakfast with Benjamin, Jackson, Avery, Willow. I ate pancakes.\"\n41048,2022/02/24,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n41049,2022/02/24,\"I had dinner with Kayden, Emily. I ate indian food.\",\"I had dinner with Kayden, Emily. I ate indian food.\"\n41050,2022/02/24,I talked to Avery for 53 minutes during lunch hours.,I talked to Avery for 53 minutes during lunch hours.\n41051,2022/02/24,\"I talked to Nora, Avery for 15 minutes late in the evening.\",\"I talked to Nora, Avery for 15 minutes late in the evening.\"\n41052,2022/02/24,\"I talked to Kinsley, Avery, Layla, Olivia for 8 minutes in the late afternoon.\",\"I talked to Kinsley, Avery, Layla, Olivia for 8 minutes in the late afternoon.\"\n41053,2022/02/24,I talked to Nevaeh for 37 minutes in the late afternoon.,I talked to Nevaeh for 37 minutes in the late afternoon.\n41054,2022/02/24,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n41055,2022/02/24,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n41056,2022/02/25,\"On 2022/02/25, I took Leah on a date to a park\",\"On 2022/02/25, I took Leah on a date to a park\"\n41057,2022/02/25,I did HIIT on 2022/02/25.,I did HIIT on 2022/02/25.\n41058,2022/02/25,\"I had breakfast with Rylee, Olivia, Avery, Lydia, Piper, Claire, Nevaeh, Hazel, Layla, Nora, Kinsley, Eva, Piper. I ate oatmeal.\",\"I had breakfast with Rylee, Olivia, Avery, Lydia, Piper, Claire, Nevaeh, Hazel, Layla, Nora, Kinsley, Eva, Piper. I ate oatmeal.\"\n41059,2022/02/25,I ate tacos for lunch.,I ate tacos for lunch.\n41060,2022/02/25,I ate sandwich for dinner.,I ate sandwich for dinner.\n41061,2022/02/25,\"I talked to Nevaeh, Eva, Nora for 24 minutes in the late afternoon.\",\"I talked to Nevaeh, Eva, Nora for 24 minutes in the late afternoon.\"\n41062,2022/02/25,I spent 28 talking to Piper on various topics in the early evening.,I spent 28 talking to Piper on various topics in the early evening.\n41063,2022/02/25,\"I talked to Eva, Piper, Nora for 5 minutes in the morning.\",\"I talked to Eva, Piper, Nora for 5 minutes in the morning.\"\n41064,2022/02/25,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n41065,2022/02/25,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n41066,2022/02/26,I did running on 2022/02/26.,I did running on 2022/02/26.\n41067,2022/02/26,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n41068,2022/02/26,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n41069,2022/02/26,\"I had chinese food for dinner with Carter, Kayden, Emily\",\"I had chinese food for dinner with Carter, Kayden, Emily\"\n41070,2022/02/26,\"I spent 29 talking to Avery, Nevaeh on various topics during lunch hours.\",\"I spent 29 talking to Avery, Nevaeh on various topics during lunch hours.\"\n41071,2022/02/26,\"I talked to Nevaeh, Claire, Piper for 40 minutes late in the evening.\",\"I talked to Nevaeh, Claire, Piper for 40 minutes late in the evening.\"\n41072,2022/02/26,\"I spent 17 talking to Layla, Lydia, Olivia on various topics in the late afternoon.\",\"I spent 17 talking to Layla, Lydia, Olivia on various topics in the late afternoon.\"\n41073,2022/02/26,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n41074,2022/02/26,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n41075,2022/02/27,I went on a date with Axel on 2022/02/27 at a park,I went on a date with Axel on 2022/02/27 at a park\n41076,2022/02/27,\"I spent time yoga on 2022/02/27 with Andrew, Carter.\",\"I spent time yoga on 2022/02/27 with Andrew, Carter.\"\n41077,2022/02/27,I did weight lifting on 2022/02/27.,I did weight lifting on 2022/02/27.\n41078,2022/02/27,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n41079,2022/02/27,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n41080,2022/02/27,\"I had dinner with Carter, Kayden, Andrew, Emily. I ate pasta.\",\"I had dinner with Carter, Kayden, Andrew, Emily. I ate pasta.\"\n41081,2022/02/27,\"I talked to Avery, Kinsley for 36 minutes in the early evening.\",\"I talked to Avery, Kinsley for 36 minutes in the early evening.\"\n41082,2022/02/27,\"I talked to Avery, Piper for 9 minutes late in the evening.\",\"I talked to Avery, Piper for 9 minutes late in the evening.\"\n41083,2022/02/27,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n41084,2022/02/27,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n41085,2022/02/28,I did HIIT on 2022/02/28.,I did HIIT on 2022/02/28.\n41086,2022/02/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n41087,2022/02/28,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n41088,2022/02/28,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n41089,2022/02/28,\"I spent 23 talking to Hazel, Nora, Rylee on various topics in the late afternoon.\",\"I spent 23 talking to Hazel, Nora, Rylee on various topics in the late afternoon.\"\n41090,2022/02/28,I talked to Layla for 9 minutes during lunch hours.,I talked to Layla for 9 minutes during lunch hours.\n41091,2022/02/28,\"I talked to Olivia, Layla for 35 minutes in the morning.\",\"I talked to Olivia, Layla for 35 minutes in the morning.\"\n41092,2022/02/28,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n41093,2022/02/28,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n41094,2022/03/01,I did weight lifting on 2022/03/01.,I did weight lifting on 2022/03/01.\n41095,2022/03/01,I ate cereals for breakfast.,I ate cereals for breakfast.\n41096,2022/03/01,I ate sushi for lunch.,I ate sushi for lunch.\n41097,2022/03/01,\"I had dinner with Emily, Kayden, Andrew, Carter. I ate fish and chips.\",\"I had dinner with Emily, Kayden, Andrew, Carter. I ate fish and chips.\"\n41098,2022/03/01,I spent 34 talking to Nora on various topics in the morning.,I spent 34 talking to Nora on various topics in the morning.\n41099,2022/03/01,\"I spent 31 talking to Olivia, Lydia on various topics in the early afternoon.\",\"I spent 31 talking to Olivia, Lydia on various topics in the early afternoon.\"\n41100,2022/03/01,\"I talked to Olivia, Piper, Layla, Claire for 8 minutes in the early afternoon.\",\"I talked to Olivia, Piper, Layla, Claire for 8 minutes in the early afternoon.\"\n41101,2022/03/01,\"I talked to Olivia, Piper, Nora, Lydia for 32 minutes in the late afternoon.\",\"I talked to Olivia, Piper, Nora, Lydia for 32 minutes in the late afternoon.\"\n41102,2022/03/01,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n41103,2022/03/01,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n41104,2022/03/02,\"I bought some mandarins, guava juice, mango juice, orange juice, shaving cream, conditioner online.\",\"I bought some mandarins, guava juice, mango juice, orange juice, shaving cream, conditioner online.\"\n41105,2022/03/02,I did biking on 2022/03/02.,I did biking on 2022/03/02.\n41106,2022/03/02,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n41107,2022/03/02,\"I had lunch with Piper, Kinsley, Nevaeh, Piper, Nora. I ate pasta.\",\"I had lunch with Piper, Kinsley, Nevaeh, Piper, Nora. I ate pasta.\"\n41108,2022/03/02,I had indian food for dinner with Andrew,I had indian food for dinner with Andrew\n41109,2022/03/02,\"I spent 8 talking to Layla, Nevaeh on various topics late in the evening.\",\"I spent 8 talking to Layla, Nevaeh on various topics late in the evening.\"\n41110,2022/03/02,\"I spent 41 talking to Hazel, Nevaeh, Piper, Piper on various topics in the early evening.\",\"I spent 41 talking to Hazel, Nevaeh, Piper, Piper on various topics in the early evening.\"\n41111,2022/03/02,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n41112,2022/03/02,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n41113,2022/03/03,I did HIIT on 2022/03/03.,I did HIIT on 2022/03/03.\n41114,2022/03/03,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n41115,2022/03/03,\"I had chinese food for lunch with Andrew, Kayden, Emily, Carter\",\"I had chinese food for lunch with Andrew, Kayden, Emily, Carter\"\n41116,2022/03/03,I ate sushi for dinner.,I ate sushi for dinner.\n41117,2022/03/03,\"I spent 52 talking to Nora, Lydia on various topics late in the evening.\",\"I spent 52 talking to Nora, Lydia on various topics late in the evening.\"\n41118,2022/03/03,I spent 11 talking to Claire on various topics in the morning.,I spent 11 talking to Claire on various topics in the morning.\n41119,2022/03/03,\"I talked to Piper, Lydia, Piper for 28 minutes in the morning.\",\"I talked to Piper, Lydia, Piper for 28 minutes in the morning.\"\n41120,2022/03/03,\"I talked to Hazel, Lydia, Piper, Eva for 37 minutes during lunch hours.\",\"I talked to Hazel, Lydia, Piper, Eva for 37 minutes during lunch hours.\"\n41121,2022/03/03,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n41122,2022/03/03,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n41123,2022/03/04,I did swimming on 2022/03/04.,I did swimming on 2022/03/04.\n41124,2022/03/04,\"I had breakfast with Willow, Jackson, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Willow, Jackson, Avery. I ate peanut-butter-jam.\"\n41125,2022/03/04,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n41126,2022/03/04,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n41127,2022/03/04,\"I spent 8 talking to Layla, Lydia, Claire, Rylee on various topics during lunch hours.\",\"I spent 8 talking to Layla, Lydia, Claire, Rylee on various topics during lunch hours.\"\n41128,2022/03/04,\"I talked to Piper, Layla for 42 minutes late in the evening.\",\"I talked to Piper, Layla for 42 minutes late in the evening.\"\n41129,2022/03/04,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n41130,2022/03/04,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n41131,2022/03/05,I did hiking on 2022/03/05.,I did hiking on 2022/03/05.\n41132,2022/03/05,\"I had breakfast with Carter, Andrew, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Andrew, Emily. I ate peanut-butter-jam.\"\n41133,2022/03/05,\"I had lunch with Lydia, Claire, Hazel, Nora, Rylee. I ate chinese food.\",\"I had lunch with Lydia, Claire, Hazel, Nora, Rylee. I ate chinese food.\"\n41134,2022/03/05,I prepare pasta for dinner.,I prepare pasta for dinner.\n41135,2022/03/05,\"I talked to Rylee, Avery for 14 minutes in the late afternoon.\",\"I talked to Rylee, Avery for 14 minutes in the late afternoon.\"\n41136,2022/03/05,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n41137,2022/03/05,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n41138,2022/03/06,\"I bought some cherres, apple juice, tea, mango juice, toilet paper, conditioner, mouth wash from the grocery store. I saw Kayden, Emily at the grocery store.\",\"I bought some cherres, apple juice, tea, mango juice, toilet paper, conditioner, mouth wash from the grocery store. I saw Kayden, Emily at the grocery store.\"\n41139,2022/03/06,I did biking on 2022/03/06.,I did biking on 2022/03/06.\n41140,2022/03/06,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n41141,2022/03/06,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n41142,2022/03/06,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n41143,2022/03/06,\"I spent 16 talking to Nora, Nevaeh, Kinsley on various topics in the late afternoon.\",\"I spent 16 talking to Nora, Nevaeh, Kinsley on various topics in the late afternoon.\"\n41144,2022/03/06,\"I spent 35 talking to Claire, Piper, Layla on various topics in the morning.\",\"I spent 35 talking to Claire, Piper, Layla on various topics in the morning.\"\n41145,2022/03/06,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n41146,2022/03/06,I watched a documentary for 29 minutes on TV today.,I watched a documentary for 29 minutes on TV today.\n41147,2022/03/07,I did HIIT on 2022/03/07.,I did HIIT on 2022/03/07.\n41148,2022/03/07,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n41149,2022/03/07,I prepare a burger for lunch.,I prepare a burger for lunch.\n41150,2022/03/07,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n41151,2022/03/07,\"I talked to Claire, Layla for 12 minutes in the morning.\",\"I talked to Claire, Layla for 12 minutes in the morning.\"\n41152,2022/03/07,\"I spent 43 talking to Layla, Nora, Nevaeh, Avery on various topics in the morning.\",\"I spent 43 talking to Layla, Nora, Nevaeh, Avery on various topics in the morning.\"\n41153,2022/03/07,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n41154,2022/03/07,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n41155,2022/03/08,I did swimming on 2022/03/08.,I did swimming on 2022/03/08.\n41156,2022/03/08,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n41157,2022/03/08,I ate sushi for lunch.,I ate sushi for lunch.\n41158,2022/03/08,I ate indian food for dinner.,I ate indian food for dinner.\n41159,2022/03/08,\"I spent 40 talking to Piper, Avery, Rylee, Hazel on various topics late in the evening.\",\"I spent 40 talking to Piper, Avery, Rylee, Hazel on various topics late in the evening.\"\n41160,2022/03/08,I talked to Piper for 39 minutes in the early evening.,I talked to Piper for 39 minutes in the early evening.\n41161,2022/03/08,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n41162,2022/03/08,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n41163,2022/03/09,\"I bought some oranges, clementines, peaches, watermelons, chocolate milk, apple juice, mineral water, facial wash, shampoo from the grocery store. I saw Emily, Carter, Andrew, Kayden at the grocery store.\",\"I bought some oranges, clementines, peaches, watermelons, chocolate milk, apple juice, mineral water, facial wash, shampoo from the grocery store. I saw Emily, Carter, Andrew, Kayden at the grocery store.\"\n41164,2022/03/09,I did hiking on 2022/03/09.,I did hiking on 2022/03/09.\n41165,2022/03/09,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n41166,2022/03/09,I ate sandwich for lunch.,I ate sandwich for lunch.\n41167,2022/03/09,I prepare tacos for dinner.,I prepare tacos for dinner.\n41168,2022/03/09,I talked to Piper for 54 minutes in the early afternoon.,I talked to Piper for 54 minutes in the early afternoon.\n41169,2022/03/09,\"I talked to Piper, Rylee, Hazel, Lydia for 12 minutes in the early afternoon.\",\"I talked to Piper, Rylee, Hazel, Lydia for 12 minutes in the early afternoon.\"\n41170,2022/03/09,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n41171,2022/03/09,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n41172,2022/03/10,I did swimming on 2022/03/10.,I did swimming on 2022/03/10.\n41173,2022/03/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n41174,2022/03/10,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n41175,2022/03/10,I ate pasta for dinner.,I ate pasta for dinner.\n41176,2022/03/10,\"I spent 25 talking to Kinsley, Rylee, Layla on various topics in the late afternoon.\",\"I spent 25 talking to Kinsley, Rylee, Layla on various topics in the late afternoon.\"\n41177,2022/03/10,\"I talked to Hazel, Olivia, Claire for 34 minutes in the early evening.\",\"I talked to Hazel, Olivia, Claire for 34 minutes in the early evening.\"\n41178,2022/03/10,\"I talked to Olivia, Piper for 9 minutes during lunch hours.\",\"I talked to Olivia, Piper for 9 minutes during lunch hours.\"\n41179,2022/03/10,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n41180,2022/03/10,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n41181,2022/03/11,I did biking on 2022/03/11.,I did biking on 2022/03/11.\n41182,2022/03/11,\"I had breakfast with Olivia, Lydia, Kinsley, Rylee, Avery, Claire. I ate peanut-butter-jam.\",\"I had breakfast with Olivia, Lydia, Kinsley, Rylee, Avery, Claire. I ate peanut-butter-jam.\"\n41183,2022/03/11,\"I had sandwich for lunch with Jackson, Avery\",\"I had sandwich for lunch with Jackson, Avery\"\n41184,2022/03/11,I ate indian food for dinner.,I ate indian food for dinner.\n41185,2022/03/11,\"I spent 29 talking to Nora, Lydia, Kinsley, Avery on various topics in the early afternoon.\",\"I spent 29 talking to Nora, Lydia, Kinsley, Avery on various topics in the early afternoon.\"\n41186,2022/03/11,\"I spent 19 talking to Rylee, Claire, Kinsley on various topics in the morning.\",\"I spent 19 talking to Rylee, Claire, Kinsley on various topics in the morning.\"\n41187,2022/03/11,\"I spent 40 talking to Piper, Avery, Eva, Piper on various topics in the early evening.\",\"I spent 40 talking to Piper, Avery, Eva, Piper on various topics in the early evening.\"\n41188,2022/03/11,\"I talked to Nevaeh, Rylee, Avery, Piper for 52 minutes in the early evening.\",\"I talked to Nevaeh, Rylee, Avery, Piper for 52 minutes in the early evening.\"\n41189,2022/03/11,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n41190,2022/03/11,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n41191,2022/03/12,I did hiking on 2022/03/12.,I did hiking on 2022/03/12.\n41192,2022/03/12,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n41193,2022/03/12,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n41194,2022/03/12,\"I had dinner with Carter, Andrew, Kayden. I ate pasta.\",\"I had dinner with Carter, Andrew, Kayden. I ate pasta.\"\n41195,2022/03/12,\"I talked to Nora, Avery for 7 minutes in the late afternoon.\",\"I talked to Nora, Avery for 7 minutes in the late afternoon.\"\n41196,2022/03/12,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n41197,2022/03/12,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n41198,2022/03/13,\"I bought some watermelons, chocolate milk, mineral water, soda, mouthwash from the grocery store. I saw Layla, Rylee, Eva, Kinsley, Olivia at the grocery store.\",\"I bought some watermelons, chocolate milk, mineral water, soda, mouthwash from the grocery store. I saw Layla, Rylee, Eva, Kinsley, Olivia at the grocery store.\"\n41199,2022/03/13,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n41200,2022/03/13,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n41201,2022/03/13,\"I had dinner with Carter, Kayden, Emily. I ate a burger.\",\"I had dinner with Carter, Kayden, Emily. I ate a burger.\"\n41202,2022/03/13,I spent 36 talking to Layla on various topics in the early afternoon.,I spent 36 talking to Layla on various topics in the early afternoon.\n41203,2022/03/13,I spent 52 talking to Claire on various topics late in the evening.,I spent 52 talking to Claire on various topics late in the evening.\n41204,2022/03/13,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n41205,2022/03/13,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n41206,2022/03/14,I did biking on 2022/03/14.,I did biking on 2022/03/14.\n41207,2022/03/14,\"I had peanut-butter-jam for breakfast with Eva, Avery\",\"I had peanut-butter-jam for breakfast with Eva, Avery\"\n41208,2022/03/14,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n41209,2022/03/14,I prepare a burger for dinner.,I prepare a burger for dinner.\n41210,2022/03/14,\"I talked to Hazel, Lydia, Olivia for 13 minutes during lunch hours.\",\"I talked to Hazel, Lydia, Olivia for 13 minutes during lunch hours.\"\n41211,2022/03/14,I talked to Piper for 30 minutes in the morning.,I talked to Piper for 30 minutes in the morning.\n41212,2022/03/14,\"I talked to Kinsley, Olivia for 28 minutes in the late afternoon.\",\"I talked to Kinsley, Olivia for 28 minutes in the late afternoon.\"\n41213,2022/03/14,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n41214,2022/03/14,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n41215,2022/03/15,I did running on 2022/03/15.,I did running on 2022/03/15.\n41216,2022/03/15,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n41217,2022/03/15,I ate chinese food for lunch.,I ate chinese food for lunch.\n41218,2022/03/15,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n41219,2022/03/15,\"I spent 24 talking to Hazel, Avery on various topics late in the evening.\",\"I spent 24 talking to Hazel, Avery on various topics late in the evening.\"\n41220,2022/03/15,I spent 50 talking to Avery on various topics in the morning.,I spent 50 talking to Avery on various topics in the morning.\n41221,2022/03/15,\"I talked to Nevaeh, Piper, Lydia for 43 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Lydia for 43 minutes in the early afternoon.\"\n41222,2022/03/15,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n41223,2022/03/15,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n41224,2022/03/16,I did hiking on 2022/03/16.,I did hiking on 2022/03/16.\n41225,2022/03/16,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n41226,2022/03/16,I had fish and chips for lunch with Andrew,I had fish and chips for lunch with Andrew\n41227,2022/03/16,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n41228,2022/03/16,I talked to Rylee for 21 minutes late in the evening.,I talked to Rylee for 21 minutes late in the evening.\n41229,2022/03/16,\"I spent 31 talking to Eva, Lydia, Piper, Kinsley on various topics during lunch hours.\",\"I spent 31 talking to Eva, Lydia, Piper, Kinsley on various topics during lunch hours.\"\n41230,2022/03/16,\"I talked to Layla, Olivia, Lydia for 7 minutes in the morning.\",\"I talked to Layla, Olivia, Lydia for 7 minutes in the morning.\"\n41231,2022/03/16,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n41232,2022/03/16,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n41233,2022/03/17,I did HIIT on 2022/03/17.,I did HIIT on 2022/03/17.\n41234,2022/03/17,\"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Emily, Andrew\",\"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Emily, Andrew\"\n41235,2022/03/17,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n41236,2022/03/17,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n41237,2022/03/17,I spent 8 talking to Hazel on various topics in the early afternoon.,I spent 8 talking to Hazel on various topics in the early afternoon.\n41238,2022/03/17,\"I talked to Kinsley, Claire for 18 minutes during lunch hours.\",\"I talked to Kinsley, Claire for 18 minutes during lunch hours.\"\n41239,2022/03/17,I spent 38 talking to Eva on various topics in the early evening.,I spent 38 talking to Eva on various topics in the early evening.\n41240,2022/03/17,\"I talked to Kinsley, Claire for 48 minutes in the late afternoon.\",\"I talked to Kinsley, Claire for 48 minutes in the late afternoon.\"\n41241,2022/03/17,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n41242,2022/03/17,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n41243,2022/03/18,\"I bought some guava, milk, shampoo, toothpaste from the grocery store. I saw Kayden, Emily, Carter at the grocery store.\",\"I bought some guava, milk, shampoo, toothpaste from the grocery store. I saw Kayden, Emily, Carter at the grocery store.\"\n41244,2022/03/18,I did swimming on 2022/03/18.,I did swimming on 2022/03/18.\n41245,2022/03/18,I had peanut-butter-jam for breakfast with Piper,I had peanut-butter-jam for breakfast with Piper\n41246,2022/03/18,I had lunch with Jackson. I ate indian food.,I had lunch with Jackson. I ate indian food.\n41247,2022/03/18,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n41248,2022/03/18,I talked to Nora for 52 minutes in the early afternoon.,I talked to Nora for 52 minutes in the early afternoon.\n41249,2022/03/18,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n41250,2022/03/18,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n41251,2022/03/19,I did weight lifting on 2022/03/19.,I did weight lifting on 2022/03/19.\n41252,2022/03/19,\"I had breakfast with Kayden, Emily, Andrew. I ate pancakes.\",\"I had breakfast with Kayden, Emily, Andrew. I ate pancakes.\"\n41253,2022/03/19,I ate a burger for lunch.,I ate a burger for lunch.\n41254,2022/03/19,\"I had dinner with Olivia, Nevaeh. I ate sandwich.\",\"I had dinner with Olivia, Nevaeh. I ate sandwich.\"\n41255,2022/03/19,\"I spent 28 talking to Lydia, Piper on various topics in the early afternoon.\",\"I spent 28 talking to Lydia, Piper on various topics in the early afternoon.\"\n41256,2022/03/19,\"I spent 37 talking to Nora, Piper, Lydia on various topics during lunch hours.\",\"I spent 37 talking to Nora, Piper, Lydia on various topics during lunch hours.\"\n41257,2022/03/19,I talked to Piper for 28 minutes in the late afternoon.,I talked to Piper for 28 minutes in the late afternoon.\n41258,2022/03/19,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n41259,2022/03/19,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n41260,2022/03/20,\"On 2022/03/20, I took Jacob on a date to a restaurant\",\"On 2022/03/20, I took Jacob on a date to a restaurant\"\n41261,2022/03/20,I did weight lifting on 2022/03/20.,I did weight lifting on 2022/03/20.\n41262,2022/03/20,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n41263,2022/03/20,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n41264,2022/03/20,\"I had indian food for dinner with Andrew, Emily, Kayden, Carter\",\"I had indian food for dinner with Andrew, Emily, Kayden, Carter\"\n41265,2022/03/20,\"I spent 49 talking to Lydia, Claire, Eva, Layla on various topics late in the evening.\",\"I spent 49 talking to Lydia, Claire, Eva, Layla on various topics late in the evening.\"\n41266,2022/03/20,\"I spent 27 talking to Nora, Olivia on various topics in the morning.\",\"I spent 27 talking to Nora, Olivia on various topics in the morning.\"\n41267,2022/03/20,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n41268,2022/03/20,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n41269,2022/03/21,I did swimming on 2022/03/21.,I did swimming on 2022/03/21.\n41270,2022/03/21,\"I had breakfast with Eva, Kinsley, Rylee, Piper, Nora, Nevaeh, Olivia. I ate oatmeal.\",\"I had breakfast with Eva, Kinsley, Rylee, Piper, Nora, Nevaeh, Olivia. I ate oatmeal.\"\n41271,2022/03/21,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n41272,2022/03/21,I ate indian food for dinner.,I ate indian food for dinner.\n41273,2022/03/21,\"I talked to Claire, Olivia, Piper for 8 minutes in the late afternoon.\",\"I talked to Claire, Olivia, Piper for 8 minutes in the late afternoon.\"\n41274,2022/03/21,I spent 23 talking to Nora on various topics in the late afternoon.,I spent 23 talking to Nora on various topics in the late afternoon.\n41275,2022/03/21,\"I spent 34 talking to Hazel, Lydia, Avery, Claire on various topics in the late afternoon.\",\"I spent 34 talking to Hazel, Lydia, Avery, Claire on various topics in the late afternoon.\"\n41276,2022/03/21,\"I spent 11 talking to Piper, Claire on various topics late in the evening.\",\"I spent 11 talking to Piper, Claire on various topics late in the evening.\"\n41277,2022/03/21,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n41278,2022/03/21,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n41279,2022/03/22,I did weight lifting on 2022/03/22.,I did weight lifting on 2022/03/22.\n41280,2022/03/22,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n41281,2022/03/22,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n41282,2022/03/22,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n41283,2022/03/22,\"I spent 45 talking to Eva, Rylee, Piper on various topics in the early evening.\",\"I spent 45 talking to Eva, Rylee, Piper on various topics in the early evening.\"\n41284,2022/03/22,\"I talked to Nevaeh, Avery, Eva, Hazel for 10 minutes in the early evening.\",\"I talked to Nevaeh, Avery, Eva, Hazel for 10 minutes in the early evening.\"\n41285,2022/03/22,I talked to Hazel for 6 minutes in the late afternoon.,I talked to Hazel for 6 minutes in the late afternoon.\n41286,2022/03/22,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n41287,2022/03/22,I watched a documentary for 49 minutes on TV today.,I watched a documentary for 49 minutes on TV today.\n41288,2022/03/23,I did hiking on 2022/03/23.,I did hiking on 2022/03/23.\n41289,2022/03/23,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n41290,2022/03/23,\"I had lunch with Olivia, Nevaeh, Claire, Hazel, Nora, Avery, Piper, Eva. I ate pasta.\",\"I had lunch with Olivia, Nevaeh, Claire, Hazel, Nora, Avery, Piper, Eva. I ate pasta.\"\n41291,2022/03/23,I had dinner with Kayden. I ate indian food.,I had dinner with Kayden. I ate indian food.\n41292,2022/03/23,\"I spent 19 talking to Nora, Piper, Layla on various topics in the late afternoon.\",\"I spent 19 talking to Nora, Piper, Layla on various topics in the late afternoon.\"\n41293,2022/03/23,\"I spent 10 talking to Nevaeh, Eva, Rylee on various topics in the late afternoon.\",\"I spent 10 talking to Nevaeh, Eva, Rylee on various topics in the late afternoon.\"\n41294,2022/03/23,I spent 30 talking to Olivia on various topics in the morning.,I spent 30 talking to Olivia on various topics in the morning.\n41295,2022/03/23,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n41296,2022/03/23,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n41297,2022/03/24,\"On 2022/03/24, I took Easton on a date to a boba shop\",\"On 2022/03/24, I took Easton on a date to a boba shop\"\n41298,2022/03/24,I did hiking on 2022/03/24.,I did hiking on 2022/03/24.\n41299,2022/03/24,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n41300,2022/03/24,\"I had tacos for lunch with Jackson, Willow, Benjamin\",\"I had tacos for lunch with Jackson, Willow, Benjamin\"\n41301,2022/03/24,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n41302,2022/03/24,\"I talked to Kinsley, Lydia, Piper for 50 minutes in the early evening.\",\"I talked to Kinsley, Lydia, Piper for 50 minutes in the early evening.\"\n41303,2022/03/24,\"I spent 17 talking to Avery, Eva, Hazel on various topics late in the evening.\",\"I spent 17 talking to Avery, Eva, Hazel on various topics late in the evening.\"\n41304,2022/03/24,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n41305,2022/03/24,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n41306,2022/03/25,\"I bought some raspberries, orange juice, pineapple juice, body lotion from the grocery store. I saw Benjamin, Jackson at the grocery store.\",\"I bought some raspberries, orange juice, pineapple juice, body lotion from the grocery store. I saw Benjamin, Jackson at the grocery store.\"\n41307,2022/03/25,I did swimming on 2022/03/25.,I did swimming on 2022/03/25.\n41308,2022/03/25,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n41309,2022/03/25,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n41310,2022/03/25,\"I had dinner with Andrew, Carter, Kayden, Emily. I ate sushi.\",\"I had dinner with Andrew, Carter, Kayden, Emily. I ate sushi.\"\n41311,2022/03/25,\"I talked to Rylee, Lydia for 24 minutes during lunch hours.\",\"I talked to Rylee, Lydia for 24 minutes during lunch hours.\"\n41312,2022/03/25,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n41313,2022/03/25,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n41314,2022/03/26,\"On 2022/03/26, I took Jordan on a date to a boba shop\",\"On 2022/03/26, I took Jordan on a date to a boba shop\"\n41315,2022/03/26,I spent time learning a language on 2022/03/26 with Kayden.,I spent time learning a language on 2022/03/26 with Kayden.\n41316,2022/03/26,I did biking on 2022/03/26.,I did biking on 2022/03/26.\n41317,2022/03/26,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n41318,2022/03/26,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n41319,2022/03/26,I had dinner with Andrew. I ate sandwich.,I had dinner with Andrew. I ate sandwich.\n41320,2022/03/26,\"I talked to Nevaeh, Eva, Nora for 20 minutes in the early afternoon.\",\"I talked to Nevaeh, Eva, Nora for 20 minutes in the early afternoon.\"\n41321,2022/03/26,\"I talked to Nora, Rylee, Kinsley, Layla for 48 minutes in the late afternoon.\",\"I talked to Nora, Rylee, Kinsley, Layla for 48 minutes in the late afternoon.\"\n41322,2022/03/26,\"I talked to Olivia, Eva for 42 minutes in the early evening.\",\"I talked to Olivia, Eva for 42 minutes in the early evening.\"\n41323,2022/03/26,\"I spent 48 talking to Piper, Olivia, Eva on various topics late in the evening.\",\"I spent 48 talking to Piper, Olivia, Eva on various topics late in the evening.\"\n41324,2022/03/26,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n41325,2022/03/26,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n41326,2022/03/27,I did hiking on 2022/03/27.,I did hiking on 2022/03/27.\n41327,2022/03/27,\"I had cereals for breakfast with Jackson, Benjamin, Willow\",\"I had cereals for breakfast with Jackson, Benjamin, Willow\"\n41328,2022/03/27,I had lunch. I ate steak.,I had lunch. I ate steak.\n41329,2022/03/27,\"I had chinese food for dinner with Kinsley, Hazel, Nevaeh\",\"I had chinese food for dinner with Kinsley, Hazel, Nevaeh\"\n41330,2022/03/27,I spent 36 talking to Piper on various topics in the early afternoon.,I spent 36 talking to Piper on various topics in the early afternoon.\n41331,2022/03/27,I talked to Nora for 17 minutes in the late afternoon.,I talked to Nora for 17 minutes in the late afternoon.\n41332,2022/03/27,\"I talked to Rylee, Avery for 9 minutes in the early evening.\",\"I talked to Rylee, Avery for 9 minutes in the early evening.\"\n41333,2022/03/27,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n41334,2022/03/27,I spent 38 minutes watching a movie on TV today.,I spent 38 minutes watching a movie on TV today.\n41335,2022/03/28,I did swimming on 2022/03/28.,I did swimming on 2022/03/28.\n41336,2022/03/28,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n41337,2022/03/28,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n41338,2022/03/28,\"I had dinner with Kayden, Andrew, Carter, Emily. I ate pasta.\",\"I had dinner with Kayden, Andrew, Carter, Emily. I ate pasta.\"\n41339,2022/03/28,\"I spent 32 talking to Avery, Piper, Claire on various topics during lunch hours.\",\"I spent 32 talking to Avery, Piper, Claire on various topics during lunch hours.\"\n41340,2022/03/28,\"I talked to Lydia, Nevaeh for 41 minutes late in the evening.\",\"I talked to Lydia, Nevaeh for 41 minutes late in the evening.\"\n41341,2022/03/28,\"I spent 22 talking to Kinsley, Eva on various topics in the early afternoon.\",\"I spent 22 talking to Kinsley, Eva on various topics in the early afternoon.\"\n41342,2022/03/28,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n41343,2022/03/28,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n41344,2022/03/29,\"On 2022/03/29, I took Ezekiel on a date to a boba shop\",\"On 2022/03/29, I took Ezekiel on a date to a boba shop\"\n41345,2022/03/29,\"I went grocery shopping with Jackson, Benjamin, Willow, Avery. I bought some peaches, apricots, cherres, sports drinks, and toothpaste, toilet paper, shaving cream, shampoo\",\"I went grocery shopping with Jackson, Benjamin, Willow, Avery. I bought some peaches, apricots, cherres, sports drinks, and toothpaste, toilet paper, shaving cream, shampoo\"\n41346,2022/03/29,I did weight lifting on 2022/03/29.,I did weight lifting on 2022/03/29.\n41347,2022/03/29,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n41348,2022/03/29,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n41349,2022/03/29,\"I had sandwich for dinner with Jackson, Willow, Avery, Benjamin\",\"I had sandwich for dinner with Jackson, Willow, Avery, Benjamin\"\n41350,2022/03/29,\"I spent 31 talking to Hazel, Piper on various topics late in the evening.\",\"I spent 31 talking to Hazel, Piper on various topics late in the evening.\"\n41351,2022/03/29,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n41352,2022/03/29,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n41353,2022/03/30,I did weight lifting on 2022/03/30.,I did weight lifting on 2022/03/30.\n41354,2022/03/30,\"I had breakfast with Kayden, Emily. I ate pancakes.\",\"I had breakfast with Kayden, Emily. I ate pancakes.\"\n41355,2022/03/30,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n41356,2022/03/30,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n41357,2022/03/30,\"I talked to Piper, Rylee, Piper, Avery for 50 minutes in the early afternoon.\",\"I talked to Piper, Rylee, Piper, Avery for 50 minutes in the early afternoon.\"\n41358,2022/03/30,\"I spent 53 talking to Hazel, Kinsley, Eva on various topics late in the evening.\",\"I spent 53 talking to Hazel, Kinsley, Eva on various topics late in the evening.\"\n41359,2022/03/30,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n41360,2022/03/30,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n41361,2022/03/31,I spent time working out on 2022/03/31 with Andrew.,I spent time working out on 2022/03/31 with Andrew.\n41362,2022/03/31,I did biking on 2022/03/31.,I did biking on 2022/03/31.\n41363,2022/03/31,I had oatmeal for breakfast with Andrew,I had oatmeal for breakfast with Andrew\n41364,2022/03/31,I had lunch. I ate steak.,I had lunch. I ate steak.\n41365,2022/03/31,I ate chinese food for dinner.,I ate chinese food for dinner.\n41366,2022/03/31,\"I talked to Avery, Eva, Lydia, Piper for 28 minutes during lunch hours.\",\"I talked to Avery, Eva, Lydia, Piper for 28 minutes during lunch hours.\"\n41367,2022/03/31,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n41368,2022/03/31,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n41369,2022/04/01,I did HIIT on 2022/04/01.,I did HIIT on 2022/04/01.\n41370,2022/04/01,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n41371,2022/04/01,I ate steak for lunch.,I ate steak for lunch.\n41372,2022/04/01,I ate sushi for dinner.,I ate sushi for dinner.\n41373,2022/04/01,\"I talked to Hazel, Kinsley, Nora, Lydia for 52 minutes in the early evening.\",\"I talked to Hazel, Kinsley, Nora, Lydia for 52 minutes in the early evening.\"\n41374,2022/04/01,I spent 53 talking to Piper on various topics late in the evening.,I spent 53 talking to Piper on various topics late in the evening.\n41375,2022/04/01,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n41376,2022/04/01,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n41377,2022/04/02,I spent some time learning a language on 2022/04/02.,I spent some time learning a language on 2022/04/02.\n41378,2022/04/02,I did hiking on 2022/04/02.,I did hiking on 2022/04/02.\n41379,2022/04/02,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n41380,2022/04/02,I had lunch. I ate steak.,I had lunch. I ate steak.\n41381,2022/04/02,\"I had dinner with Kinsley, Nevaeh, Lydia, Layla, Hazel, Olivia, Claire, Avery, Rylee, Nora. I ate a burger.\",\"I had dinner with Kinsley, Nevaeh, Lydia, Layla, Hazel, Olivia, Claire, Avery, Rylee, Nora. I ate a burger.\"\n41382,2022/04/02,\"I spent 35 talking to Lydia, Nevaeh on various topics in the early evening.\",\"I spent 35 talking to Lydia, Nevaeh on various topics in the early evening.\"\n41383,2022/04/02,\"I spent 18 talking to Nevaeh, Claire on various topics in the morning.\",\"I spent 18 talking to Nevaeh, Claire on various topics in the morning.\"\n41384,2022/04/02,I spent 39 talking to Hazel on various topics late in the evening.,I spent 39 talking to Hazel on various topics late in the evening.\n41385,2022/04/02,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n41386,2022/04/02,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n41387,2022/04/03,I did HIIT on 2022/04/03.,I did HIIT on 2022/04/03.\n41388,2022/04/03,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n41389,2022/04/03,I ate steak for lunch.,I ate steak for lunch.\n41390,2022/04/03,I had sandwich for dinner with Carter,I had sandwich for dinner with Carter\n41391,2022/04/03,\"I talked to Hazel, Eva, Nora for 17 minutes in the late afternoon.\",\"I talked to Hazel, Eva, Nora for 17 minutes in the late afternoon.\"\n41392,2022/04/03,I talked to Olivia for 55 minutes in the late afternoon.,I talked to Olivia for 55 minutes in the late afternoon.\n41393,2022/04/03,\"I talked to Kinsley, Eva for 10 minutes late in the evening.\",\"I talked to Kinsley, Eva for 10 minutes late in the evening.\"\n41394,2022/04/03,\"I talked to Layla, Hazel for 48 minutes late in the evening.\",\"I talked to Layla, Hazel for 48 minutes late in the evening.\"\n41395,2022/04/03,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n41396,2022/04/03,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n41397,2022/04/04,I went on a date with Abigail on 2022/04/04 at a park,I went on a date with Abigail on 2022/04/04 at a park\n41398,2022/04/04,\"I went grocery shopping. I bought some clementines, pineapples, blackberries, watermelons, chocolate milk, coffee, soda, and mouth wash\",\"I went grocery shopping. I bought some clementines, pineapples, blackberries, watermelons, chocolate milk, coffee, soda, and mouth wash\"\n41399,2022/04/04,I did swimming on 2022/04/04.,I did swimming on 2022/04/04.\n41400,2022/04/04,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n41401,2022/04/04,I ate sushi for lunch.,I ate sushi for lunch.\n41402,2022/04/04,\"I had dinner with Andrew, Emily, Kayden, Carter. I ate a burger.\",\"I had dinner with Andrew, Emily, Kayden, Carter. I ate a burger.\"\n41403,2022/04/04,\"I spent 5 talking to Nora, Avery, Hazel on various topics in the early evening.\",\"I spent 5 talking to Nora, Avery, Hazel on various topics in the early evening.\"\n41404,2022/04/04,I talked to Kinsley for 22 minutes in the morning.,I talked to Kinsley for 22 minutes in the morning.\n41405,2022/04/04,\"I talked to Piper, Lydia, Claire for 38 minutes late in the evening.\",\"I talked to Piper, Lydia, Claire for 38 minutes late in the evening.\"\n41406,2022/04/04,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n41407,2022/04/04,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n41408,2022/04/05,I did biking on 2022/04/05.,I did biking on 2022/04/05.\n41409,2022/04/05,\"I had peanut-butter-jam for breakfast with Carter, Andrew, Emily, Kayden\",\"I had peanut-butter-jam for breakfast with Carter, Andrew, Emily, Kayden\"\n41410,2022/04/05,I prepare tacos for lunch.,I prepare tacos for lunch.\n41411,2022/04/05,\"I had dinner with Andrew, Carter, Kayden. I ate sandwich.\",\"I had dinner with Andrew, Carter, Kayden. I ate sandwich.\"\n41412,2022/04/05,I spent 15 talking to Piper on various topics in the early afternoon.,I spent 15 talking to Piper on various topics in the early afternoon.\n41413,2022/04/05,\"I spent 39 talking to Rylee, Piper, Nevaeh, Claire on various topics in the early afternoon.\",\"I spent 39 talking to Rylee, Piper, Nevaeh, Claire on various topics in the early afternoon.\"\n41414,2022/04/05,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n41415,2022/04/05,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n41416,2022/04/06,I did HIIT on 2022/04/06.,I did HIIT on 2022/04/06.\n41417,2022/04/06,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n41418,2022/04/06,\"I had lunch with Jackson, Willow. I ate steak.\",\"I had lunch with Jackson, Willow. I ate steak.\"\n41419,2022/04/06,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n41420,2022/04/06,\"I talked to Layla, Hazel, Olivia, Kinsley for 10 minutes in the morning.\",\"I talked to Layla, Hazel, Olivia, Kinsley for 10 minutes in the morning.\"\n41421,2022/04/06,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n41422,2022/04/06,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n41423,2022/04/07,\"I bought some pineapples, peaches, apple juice, shampoo, toilet paper from the grocery store. I saw Andrew, Carter, Emily at the grocery store.\",\"I bought some pineapples, peaches, apple juice, shampoo, toilet paper from the grocery store. I saw Andrew, Carter, Emily at the grocery store.\"\n41424,2022/04/07,I did biking on 2022/04/07.,I did biking on 2022/04/07.\n41425,2022/04/07,\"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\"\n41426,2022/04/07,\"I had lunch with Emily, Kayden, Andrew, Carter. I ate chinese food.\",\"I had lunch with Emily, Kayden, Andrew, Carter. I ate chinese food.\"\n41427,2022/04/07,\"I had a burger for dinner with Emily, Kayden\",\"I had a burger for dinner with Emily, Kayden\"\n41428,2022/04/07,I spent 17 talking to Olivia on various topics during lunch hours.,I spent 17 talking to Olivia on various topics during lunch hours.\n41429,2022/04/07,\"I talked to Olivia, Layla, Nora, Eva for 23 minutes in the early afternoon.\",\"I talked to Olivia, Layla, Nora, Eva for 23 minutes in the early afternoon.\"\n41430,2022/04/07,\"I talked to Rylee, Eva, Claire for 37 minutes late in the evening.\",\"I talked to Rylee, Eva, Claire for 37 minutes late in the evening.\"\n41431,2022/04/07,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n41432,2022/04/07,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n41433,2022/04/08,I went on a date with David on 2022/04/08 at a park,I went on a date with David on 2022/04/08 at a park\n41434,2022/04/08,I did running on 2022/04/08.,I did running on 2022/04/08.\n41435,2022/04/08,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n41436,2022/04/08,I had lunch. I ate steak.,I had lunch. I ate steak.\n41437,2022/04/08,I ate a burger for dinner.,I ate a burger for dinner.\n41438,2022/04/08,\"I talked to Piper, Hazel, Avery, Nora for 21 minutes late in the evening.\",\"I talked to Piper, Hazel, Avery, Nora for 21 minutes late in the evening.\"\n41439,2022/04/08,I spent 43 talking to Layla on various topics in the late afternoon.,I spent 43 talking to Layla on various topics in the late afternoon.\n41440,2022/04/08,\"I talked to Nevaeh, Avery for 9 minutes in the early evening.\",\"I talked to Nevaeh, Avery for 9 minutes in the early evening.\"\n41441,2022/04/08,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n41442,2022/04/08,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n41443,2022/04/09,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n41444,2022/04/09,I prepare pasta for lunch.,I prepare pasta for lunch.\n41445,2022/04/09,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n41446,2022/04/09,\"I spent 30 talking to Nora, Piper on various topics in the late afternoon.\",\"I spent 30 talking to Nora, Piper on various topics in the late afternoon.\"\n41447,2022/04/09,I talked to Piper for 38 minutes in the morning.,I talked to Piper for 38 minutes in the morning.\n41448,2022/04/09,I spent 5 talking to Olivia on various topics in the early afternoon.,I spent 5 talking to Olivia on various topics in the early afternoon.\n41449,2022/04/09,\"I talked to Kinsley, Piper, Hazel for 17 minutes during lunch hours.\",\"I talked to Kinsley, Piper, Hazel for 17 minutes during lunch hours.\"\n41450,2022/04/09,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n41451,2022/04/09,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n41452,2022/04/10,\"On 2022/04/10, I took Michael on a date to a boba shop\",\"On 2022/04/10, I took Michael on a date to a boba shop\"\n41453,2022/04/10,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n41454,2022/04/10,\"I had sushi for lunch with Kayden, Andrew, Emily, Carter\",\"I had sushi for lunch with Kayden, Andrew, Emily, Carter\"\n41455,2022/04/10,I prepare indian food for dinner.,I prepare indian food for dinner.\n41456,2022/04/10,\"I spent 32 talking to Eva, Avery, Olivia, Claire on various topics in the late afternoon.\",\"I spent 32 talking to Eva, Avery, Olivia, Claire on various topics in the late afternoon.\"\n41457,2022/04/10,\"I spent 42 talking to Layla, Olivia, Claire, Rylee on various topics in the morning.\",\"I spent 42 talking to Layla, Olivia, Claire, Rylee on various topics in the morning.\"\n41458,2022/04/10,\"I talked to Avery, Hazel for 38 minutes in the early afternoon.\",\"I talked to Avery, Hazel for 38 minutes in the early afternoon.\"\n41459,2022/04/10,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n41460,2022/04/10,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n41461,2022/04/11,\"I bought some blueberries, raspberries, mangos, apricots, mango juice, chocolate milk, orange juice, pineapple juice, facial wash, mouth wash, toothbrush, shaving cream online.\",\"I bought some blueberries, raspberries, mangos, apricots, mango juice, chocolate milk, orange juice, pineapple juice, facial wash, mouth wash, toothbrush, shaving cream online.\"\n41462,2022/04/11,I did running on 2022/04/11.,I did running on 2022/04/11.\n41463,2022/04/11,\"I had cereals for breakfast with Olivia, Nora, Piper, Avery, Layla, Eva, Lydia, Nevaeh, Piper, Hazel, Claire, Rylee, Kinsley\",\"I had cereals for breakfast with Olivia, Nora, Piper, Avery, Layla, Eva, Lydia, Nevaeh, Piper, Hazel, Claire, Rylee, Kinsley\"\n41464,2022/04/11,\"I had lunch with Piper, Olivia, Hazel, Avery, Layla, Piper, Nora, Nevaeh, Eva, Kinsley, Lydia. I ate a burger.\",\"I had lunch with Piper, Olivia, Hazel, Avery, Layla, Piper, Nora, Nevaeh, Eva, Kinsley, Lydia. I ate a burger.\"\n41465,2022/04/11,I had dinner with Jackson. I ate sushi.,I had dinner with Jackson. I ate sushi.\n41466,2022/04/11,\"I talked to Kinsley, Lydia, Piper for 37 minutes late in the evening.\",\"I talked to Kinsley, Lydia, Piper for 37 minutes late in the evening.\"\n41467,2022/04/11,\"I spent 49 talking to Layla, Claire, Hazel on various topics in the early afternoon.\",\"I spent 49 talking to Layla, Claire, Hazel on various topics in the early afternoon.\"\n41468,2022/04/11,\"I spent 27 talking to Kinsley, Avery, Olivia, Lydia on various topics in the early afternoon.\",\"I spent 27 talking to Kinsley, Avery, Olivia, Lydia on various topics in the early afternoon.\"\n41469,2022/04/11,\"I talked to Claire, Layla, Kinsley for 49 minutes in the late afternoon.\",\"I talked to Claire, Layla, Kinsley for 49 minutes in the late afternoon.\"\n41470,2022/04/11,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n41471,2022/04/11,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n41472,2022/04/12,I did swimming on 2022/04/12.,I did swimming on 2022/04/12.\n41473,2022/04/12,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n41474,2022/04/12,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n41475,2022/04/12,\"I had sushi for dinner with Emily, Kayden, Andrew, Carter\",\"I had sushi for dinner with Emily, Kayden, Andrew, Carter\"\n41476,2022/04/12,I talked to Kinsley for 35 minutes during lunch hours.,I talked to Kinsley for 35 minutes during lunch hours.\n41477,2022/04/12,I talked to Lydia for 8 minutes in the early evening.,I talked to Lydia for 8 minutes in the early evening.\n41478,2022/04/12,\"I spent 44 talking to Piper, Avery, Nora on various topics in the early evening.\",\"I spent 44 talking to Piper, Avery, Nora on various topics in the early evening.\"\n41479,2022/04/12,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n41480,2022/04/12,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n41481,2022/04/13,\"I bought some cherres, guava, strawberries, mango juice, soda, pineapple juice, toothbrush, shampoo from the grocery store. I saw Andrew at the grocery store.\",\"I bought some cherres, guava, strawberries, mango juice, soda, pineapple juice, toothbrush, shampoo from the grocery store. I saw Andrew at the grocery store.\"\n41482,2022/04/13,I did swimming on 2022/04/13.,I did swimming on 2022/04/13.\n41483,2022/04/13,\"I had oatmeal for breakfast with Andrew, Carter, Kayden, Emily\",\"I had oatmeal for breakfast with Andrew, Carter, Kayden, Emily\"\n41484,2022/04/13,\"I had lunch with Lydia, Rylee, Piper, Kinsley, Olivia, Nora, Eva, Nevaeh, Layla, Hazel, Avery. I ate steak.\",\"I had lunch with Lydia, Rylee, Piper, Kinsley, Olivia, Nora, Eva, Nevaeh, Layla, Hazel, Avery. I ate steak.\"\n41485,2022/04/13,\"I had pasta for dinner with Carter, Kayden, Andrew\",\"I had pasta for dinner with Carter, Kayden, Andrew\"\n41486,2022/04/13,I talked to Nora for 30 minutes during lunch hours.,I talked to Nora for 30 minutes during lunch hours.\n41487,2022/04/13,\"I talked to Claire, Hazel, Avery, Nora for 28 minutes in the early evening.\",\"I talked to Claire, Hazel, Avery, Nora for 28 minutes in the early evening.\"\n41488,2022/04/13,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n41489,2022/04/13,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n41490,2022/04/14,I did swimming on 2022/04/14.,I did swimming on 2022/04/14.\n41491,2022/04/14,I had breakfast with Carter. I ate oatmeal.,I had breakfast with Carter. I ate oatmeal.\n41492,2022/04/14,I prepare pasta for lunch.,I prepare pasta for lunch.\n41493,2022/04/14,\"I had fish and chips for dinner with Andrew, Kayden, Carter\",\"I had fish and chips for dinner with Andrew, Kayden, Carter\"\n41494,2022/04/14,I talked to Nevaeh for 54 minutes in the morning.,I talked to Nevaeh for 54 minutes in the morning.\n41495,2022/04/14,I spent 37 talking to Layla on various topics in the early afternoon.,I spent 37 talking to Layla on various topics in the early afternoon.\n41496,2022/04/14,I spent 6 talking to Nevaeh on various topics during lunch hours.,I spent 6 talking to Nevaeh on various topics during lunch hours.\n41497,2022/04/14,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n41498,2022/04/14,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n41499,2022/04/15,I did hiking on 2022/04/15.,I did hiking on 2022/04/15.\n41500,2022/04/15,\"I had breakfast with Kinsley, Piper, Avery, Rylee, Layla, Nevaeh, Nora, Hazel, Piper, Lydia, Eva. I ate eggs, sausages, and bread.\",\"I had breakfast with Kinsley, Piper, Avery, Rylee, Layla, Nevaeh, Nora, Hazel, Piper, Lydia, Eva. I ate eggs, sausages, and bread.\"\n41501,2022/04/15,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n41502,2022/04/15,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n41503,2022/04/15,\"I spent 47 talking to Olivia, Avery on various topics in the early evening.\",\"I spent 47 talking to Olivia, Avery on various topics in the early evening.\"\n41504,2022/04/15,I spent 14 talking to Piper on various topics during lunch hours.,I spent 14 talking to Piper on various topics during lunch hours.\n41505,2022/04/15,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n41506,2022/04/15,I watched news for 40 minutes on TV today.,I watched news for 40 minutes on TV today.\n41507,2022/04/16,I did HIIT on 2022/04/16.,I did HIIT on 2022/04/16.\n41508,2022/04/16,\"I had breakfast with Jackson, Benjamin. I ate oatmeal.\",\"I had breakfast with Jackson, Benjamin. I ate oatmeal.\"\n41509,2022/04/16,I had lunch. I ate steak.,I had lunch. I ate steak.\n41510,2022/04/16,\"I had a burger for dinner with Carter, Andrew\",\"I had a burger for dinner with Carter, Andrew\"\n41511,2022/04/16,\"I spent 42 talking to Lydia, Rylee, Layla, Avery on various topics in the early evening.\",\"I spent 42 talking to Lydia, Rylee, Layla, Avery on various topics in the early evening.\"\n41512,2022/04/16,\"I talked to Claire, Avery, Piper, Olivia for 36 minutes late in the evening.\",\"I talked to Claire, Avery, Piper, Olivia for 36 minutes late in the evening.\"\n41513,2022/04/16,I talked to Nevaeh for 37 minutes during lunch hours.,I talked to Nevaeh for 37 minutes during lunch hours.\n41514,2022/04/16,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n41515,2022/04/16,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n41516,2022/04/17,I went on a date with Cora on 2022/04/17 at a boba shop,I went on a date with Cora on 2022/04/17 at a boba shop\n41517,2022/04/17,I did swimming on 2022/04/17.,I did swimming on 2022/04/17.\n41518,2022/04/17,\"I had eggs, sausages, and bread for breakfast with Nora, Rylee, Avery\",\"I had eggs, sausages, and bread for breakfast with Nora, Rylee, Avery\"\n41519,2022/04/17,I prepare pasta for lunch.,I prepare pasta for lunch.\n41520,2022/04/17,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n41521,2022/04/17,\"I talked to Olivia, Eva for 21 minutes during lunch hours.\",\"I talked to Olivia, Eva for 21 minutes during lunch hours.\"\n41522,2022/04/17,\"I spent 35 talking to Piper, Avery on various topics in the late afternoon.\",\"I spent 35 talking to Piper, Avery on various topics in the late afternoon.\"\n41523,2022/04/17,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n41524,2022/04/17,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n41525,2022/04/18,I really enjoyed meditation on 2022/04/18,I really enjoyed meditation on 2022/04/18\n41526,2022/04/18,I did weight lifting on 2022/04/18.,I did weight lifting on 2022/04/18.\n41527,2022/04/18,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n41528,2022/04/18,\"I had indian food for lunch with Carter, Kayden, Andrew, Emily\",\"I had indian food for lunch with Carter, Kayden, Andrew, Emily\"\n41529,2022/04/18,\"I had tacos for dinner with Andrew, Carter\",\"I had tacos for dinner with Andrew, Carter\"\n41530,2022/04/18,\"I talked to Nora, Piper for 50 minutes during lunch hours.\",\"I talked to Nora, Piper for 50 minutes during lunch hours.\"\n41531,2022/04/18,I spent 42 talking to Piper on various topics in the morning.,I spent 42 talking to Piper on various topics in the morning.\n41532,2022/04/18,\"I talked to Nora, Layla for 6 minutes late in the evening.\",\"I talked to Nora, Layla for 6 minutes late in the evening.\"\n41533,2022/04/18,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n41534,2022/04/18,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n41535,2022/04/19,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n41536,2022/04/19,I prepare steak for lunch.,I prepare steak for lunch.\n41537,2022/04/19,\"I had pasta for dinner with Claire, Nevaeh, Layla\",\"I had pasta for dinner with Claire, Nevaeh, Layla\"\n41538,2022/04/19,I spent 47 talking to Nora on various topics late in the evening.,I spent 47 talking to Nora on various topics late in the evening.\n41539,2022/04/19,\"I spent 46 talking to Piper, Hazel, Rylee, Eva on various topics in the early afternoon.\",\"I spent 46 talking to Piper, Hazel, Rylee, Eva on various topics in the early afternoon.\"\n41540,2022/04/19,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n41541,2022/04/19,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n41542,2022/04/20,\"I spent time yoga on 2022/04/20 with Avery, Layla.\",\"I spent time yoga on 2022/04/20 with Avery, Layla.\"\n41543,2022/04/20,I did HIIT on 2022/04/20.,I did HIIT on 2022/04/20.\n41544,2022/04/20,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n41545,2022/04/20,\"I had lunch with Kayden, Carter. I ate sushi.\",\"I had lunch with Kayden, Carter. I ate sushi.\"\n41546,2022/04/20,I ate a burger for dinner.,I ate a burger for dinner.\n41547,2022/04/20,I spent 8 talking to Kinsley on various topics during lunch hours.,I spent 8 talking to Kinsley on various topics during lunch hours.\n41548,2022/04/20,\"I talked to Piper, Kinsley for 46 minutes in the early evening.\",\"I talked to Piper, Kinsley for 46 minutes in the early evening.\"\n41549,2022/04/20,\"I talked to Olivia, Avery, Nevaeh, Kinsley for 46 minutes in the late afternoon.\",\"I talked to Olivia, Avery, Nevaeh, Kinsley for 46 minutes in the late afternoon.\"\n41550,2022/04/20,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n41551,2022/04/20,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n41552,2022/04/21,I did running on 2022/04/21.,I did running on 2022/04/21.\n41553,2022/04/21,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n41554,2022/04/21,\"I had lunch with Lydia, Rylee, Olivia, Piper, Layla, Kinsley, Claire. I ate pasta.\",\"I had lunch with Lydia, Rylee, Olivia, Piper, Layla, Kinsley, Claire. I ate pasta.\"\n41555,2022/04/21,I prepare pasta for dinner.,I prepare pasta for dinner.\n41556,2022/04/21,I spent 16 talking to Nora on various topics in the early afternoon.,I spent 16 talking to Nora on various topics in the early afternoon.\n41557,2022/04/21,\"I talked to Rylee, Olivia, Nevaeh for 22 minutes in the morning.\",\"I talked to Rylee, Olivia, Nevaeh for 22 minutes in the morning.\"\n41558,2022/04/21,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n41559,2022/04/21,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n41560,2022/04/22,\"I bought some bananas, guava juice, shampoo from the grocery store. I saw Eva, Piper, Hazel, Kinsley, Nora, Nevaeh at the grocery store.\",\"I bought some bananas, guava juice, shampoo from the grocery store. I saw Eva, Piper, Hazel, Kinsley, Nora, Nevaeh at the grocery store.\"\n41561,2022/04/22,I did HIIT on 2022/04/22.,I did HIIT on 2022/04/22.\n41562,2022/04/22,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n41563,2022/04/22,I ate pasta for lunch.,I ate pasta for lunch.\n41564,2022/04/22,\"I had indian food for dinner with Willow, Benjamin, Jackson\",\"I had indian food for dinner with Willow, Benjamin, Jackson\"\n41565,2022/04/22,\"I talked to Layla, Piper for 13 minutes late in the evening.\",\"I talked to Layla, Piper for 13 minutes late in the evening.\"\n41566,2022/04/22,I talked to Olivia for 41 minutes in the early evening.,I talked to Olivia for 41 minutes in the early evening.\n41567,2022/04/22,\"I spent 28 talking to Nora, Claire on various topics late in the evening.\",\"I spent 28 talking to Nora, Claire on various topics late in the evening.\"\n41568,2022/04/22,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n41569,2022/04/22,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n41570,2022/04/23,I went on a date with Noah on 2022/04/23 at a boba shop,I went on a date with Noah on 2022/04/23 at a boba shop\n41571,2022/04/23,I really enjoyed working out on 2022/04/23,I really enjoyed working out on 2022/04/23\n41572,2022/04/23,\"I bought some bananas, watermelons, soda, body lotion, shaving cream, shampoo from the grocery store. I saw Nora, Piper, Hazel, Lydia, Layla, Avery, Olivia, Nevaeh, Claire, Piper, Kinsley, Rylee, Eva at the grocery store.\",\"I bought some bananas, watermelons, soda, body lotion, shaving cream, shampoo from the grocery store. I saw Nora, Piper, Hazel, Lydia, Layla, Avery, Olivia, Nevaeh, Claire, Piper, Kinsley, Rylee, Eva at the grocery store.\"\n41573,2022/04/23,I did running on 2022/04/23.,I did running on 2022/04/23.\n41574,2022/04/23,\"I had breakfast with Willow, Avery, Benjamin, Jackson. I ate eggs, sausages, and bread.\",\"I had breakfast with Willow, Avery, Benjamin, Jackson. I ate eggs, sausages, and bread.\"\n41575,2022/04/23,I ate indian food for lunch.,I ate indian food for lunch.\n41576,2022/04/23,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n41577,2022/04/23,I talked to Rylee for 5 minutes in the late afternoon.,I talked to Rylee for 5 minutes in the late afternoon.\n41578,2022/04/23,I talked to Piper for 38 minutes late in the evening.,I talked to Piper for 38 minutes late in the evening.\n41579,2022/04/23,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n41580,2022/04/23,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n41581,2022/04/24,I did hiking on 2022/04/24.,I did hiking on 2022/04/24.\n41582,2022/04/24,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n41583,2022/04/24,I prepare tacos for lunch.,I prepare tacos for lunch.\n41584,2022/04/24,\"I had steak for dinner with Olivia, Rylee, Avery, Layla, Piper, Nevaeh, Nora, Eva, Piper\",\"I had steak for dinner with Olivia, Rylee, Avery, Layla, Piper, Nevaeh, Nora, Eva, Piper\"\n41585,2022/04/24,\"I talked to Claire, Kinsley for 47 minutes in the early afternoon.\",\"I talked to Claire, Kinsley for 47 minutes in the early afternoon.\"\n41586,2022/04/24,\"I spent 15 talking to Piper, Layla on various topics late in the evening.\",\"I spent 15 talking to Piper, Layla on various topics late in the evening.\"\n41587,2022/04/24,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n41588,2022/04/24,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n41589,2022/04/25,I did HIIT on 2022/04/25.,I did HIIT on 2022/04/25.\n41590,2022/04/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n41591,2022/04/25,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n41592,2022/04/25,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n41593,2022/04/25,\"I talked to Eva, Rylee, Piper for 46 minutes during lunch hours.\",\"I talked to Eva, Rylee, Piper for 46 minutes during lunch hours.\"\n41594,2022/04/25,\"I spent 55 talking to Nora, Avery, Piper, Nevaeh on various topics in the morning.\",\"I spent 55 talking to Nora, Avery, Piper, Nevaeh on various topics in the morning.\"\n41595,2022/04/25,I talked to Claire for 39 minutes during lunch hours.,I talked to Claire for 39 minutes during lunch hours.\n41596,2022/04/25,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n41597,2022/04/25,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n41598,2022/04/26,I did hiking on 2022/04/26.,I did hiking on 2022/04/26.\n41599,2022/04/26,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n41600,2022/04/26,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n41601,2022/04/26,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n41602,2022/04/26,\"I talked to Nora, Claire, Layla, Lydia for 53 minutes in the late afternoon.\",\"I talked to Nora, Claire, Layla, Lydia for 53 minutes in the late afternoon.\"\n41603,2022/04/26,I talked to Lydia for 15 minutes late in the evening.,I talked to Lydia for 15 minutes late in the evening.\n41604,2022/04/26,\"I talked to Eva, Nevaeh, Lydia, Nora for 54 minutes in the morning.\",\"I talked to Eva, Nevaeh, Lydia, Nora for 54 minutes in the morning.\"\n41605,2022/04/26,\"I spent 35 talking to Rylee, Kinsley on various topics in the early evening.\",\"I spent 35 talking to Rylee, Kinsley on various topics in the early evening.\"\n41606,2022/04/26,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n41607,2022/04/26,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n41608,2022/04/27,\"I bought some cherres, oranges, mandarins, apple juice, sports drinks, mango juice, chocolate milk, body lotion, paper towel, conditioner from the grocery store. I saw Eva, Layla, Lydia, Rylee, Olivia, Kinsley, Piper, Claire at the grocery store.\",\"I bought some cherres, oranges, mandarins, apple juice, sports drinks, mango juice, chocolate milk, body lotion, paper towel, conditioner from the grocery store. I saw Eva, Layla, Lydia, Rylee, Olivia, Kinsley, Piper, Claire at the grocery store.\"\n41609,2022/04/27,I did swimming on 2022/04/27.,I did swimming on 2022/04/27.\n41610,2022/04/27,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n41611,2022/04/27,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n41612,2022/04/27,I ate chinese food for dinner.,I ate chinese food for dinner.\n41613,2022/04/27,\"I spent 39 talking to Claire, Piper, Avery, Layla on various topics late in the evening.\",\"I spent 39 talking to Claire, Piper, Avery, Layla on various topics late in the evening.\"\n41614,2022/04/27,\"I talked to Nevaeh, Avery for 45 minutes in the early afternoon.\",\"I talked to Nevaeh, Avery for 45 minutes in the early afternoon.\"\n41615,2022/04/27,\"I spent 16 talking to Avery, Piper on various topics during lunch hours.\",\"I spent 16 talking to Avery, Piper on various topics during lunch hours.\"\n41616,2022/04/27,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n41617,2022/04/27,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n41618,2022/04/28,I did running on 2022/04/28.,I did running on 2022/04/28.\n41619,2022/04/28,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n41620,2022/04/28,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n41621,2022/04/28,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n41622,2022/04/28,\"I spent 26 talking to Claire, Nora on various topics in the morning.\",\"I spent 26 talking to Claire, Nora on various topics in the morning.\"\n41623,2022/04/28,\"I spent 39 talking to Kinsley, Layla on various topics late in the evening.\",\"I spent 39 talking to Kinsley, Layla on various topics late in the evening.\"\n41624,2022/04/28,\"I talked to Nevaeh, Avery, Nora for 53 minutes in the morning.\",\"I talked to Nevaeh, Avery, Nora for 53 minutes in the morning.\"\n41625,2022/04/28,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n41626,2022/04/28,I spent 30 minutes watching a movie on TV today.,I spent 30 minutes watching a movie on TV today.\n41627,2022/04/29,\"I spent time learning a language on 2022/04/29 with Jackson, Willow, Avery.\",\"I spent time learning a language on 2022/04/29 with Jackson, Willow, Avery.\"\n41628,2022/04/29,I did biking on 2022/04/29.,I did biking on 2022/04/29.\n41629,2022/04/29,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n41630,2022/04/29,I had tacos for lunch with Carter,I had tacos for lunch with Carter\n41631,2022/04/29,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n41632,2022/04/29,\"I talked to Kinsley, Piper, Eva, Rylee for 37 minutes in the late afternoon.\",\"I talked to Kinsley, Piper, Eva, Rylee for 37 minutes in the late afternoon.\"\n41633,2022/04/29,\"I spent 45 talking to Piper, Kinsley, Layla on various topics in the late afternoon.\",\"I spent 45 talking to Piper, Kinsley, Layla on various topics in the late afternoon.\"\n41634,2022/04/29,\"I talked to Nevaeh, Avery for 10 minutes in the late afternoon.\",\"I talked to Nevaeh, Avery for 10 minutes in the late afternoon.\"\n41635,2022/04/29,\"I talked to Layla, Eva, Rylee for 41 minutes late in the evening.\",\"I talked to Layla, Eva, Rylee for 41 minutes late in the evening.\"\n41636,2022/04/29,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n41637,2022/04/29,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n41638,2022/04/30,I went on a date with John on 2022/04/30 at a restaurant,I went on a date with John on 2022/04/30 at a restaurant\n41639,2022/04/30,\"I went grocery shopping. I bought some bananas, blackberries, apricots, watermelons, guava juice, mango juice, tea, soda, and toothpaste, shampoo, shaving cream, conditioner\",\"I went grocery shopping. I bought some bananas, blackberries, apricots, watermelons, guava juice, mango juice, tea, soda, and toothpaste, shampoo, shaving cream, conditioner\"\n41640,2022/04/30,I did hiking on 2022/04/30.,I did hiking on 2022/04/30.\n41641,2022/04/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n41642,2022/04/30,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n41643,2022/04/30,I ate sandwich for dinner.,I ate sandwich for dinner.\n41644,2022/04/30,\"I spent 38 talking to Olivia, Rylee, Lydia on various topics during lunch hours.\",\"I spent 38 talking to Olivia, Rylee, Lydia on various topics during lunch hours.\"\n41645,2022/04/30,I talked to Eva for 10 minutes during lunch hours.,I talked to Eva for 10 minutes during lunch hours.\n41646,2022/04/30,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n41647,2022/04/30,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n41648,2022/05/01,I did biking on 2022/05/01.,I did biking on 2022/05/01.\n41649,2022/05/01,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n41650,2022/05/01,\"I had chinese food for lunch with Andrew, Carter\",\"I had chinese food for lunch with Andrew, Carter\"\n41651,2022/05/01,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n41652,2022/05/01,\"I talked to Kinsley, Nevaeh for 33 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh for 33 minutes late in the evening.\"\n41653,2022/05/01,\"I talked to Piper, Lydia for 37 minutes in the late afternoon.\",\"I talked to Piper, Lydia for 37 minutes in the late afternoon.\"\n41654,2022/05/01,I talked to Eva for 46 minutes in the morning.,I talked to Eva for 46 minutes in the morning.\n41655,2022/05/01,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n41656,2022/05/01,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n41657,2022/05/02,I did swimming on 2022/05/02.,I did swimming on 2022/05/02.\n41658,2022/05/02,\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\"\n41659,2022/05/02,I had lunch with Carter. I ate sandwich.,I had lunch with Carter. I ate sandwich.\n41660,2022/05/02,I ate sushi for dinner.,I ate sushi for dinner.\n41661,2022/05/02,I talked to Kinsley for 12 minutes in the early evening.,I talked to Kinsley for 12 minutes in the early evening.\n41662,2022/05/02,\"I talked to Rylee, Piper, Claire for 15 minutes during lunch hours.\",\"I talked to Rylee, Piper, Claire for 15 minutes during lunch hours.\"\n41663,2022/05/02,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n41664,2022/05/02,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n41665,2022/05/03,I did biking on 2022/05/03.,I did biking on 2022/05/03.\n41666,2022/05/03,I had breakfast with Piper. I ate toast and cheese.,I had breakfast with Piper. I ate toast and cheese.\n41667,2022/05/03,I prepare steak for lunch.,I prepare steak for lunch.\n41668,2022/05/03,\"I had sushi for dinner with Piper, Rylee, Layla, Avery, Hazel, Nevaeh\",\"I had sushi for dinner with Piper, Rylee, Layla, Avery, Hazel, Nevaeh\"\n41669,2022/05/03,\"I talked to Rylee, Olivia, Layla for 48 minutes in the late afternoon.\",\"I talked to Rylee, Olivia, Layla for 48 minutes in the late afternoon.\"\n41670,2022/05/03,I spent 8 talking to Eva on various topics in the late afternoon.,I spent 8 talking to Eva on various topics in the late afternoon.\n41671,2022/05/03,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n41672,2022/05/03,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n41673,2022/05/04,\"I bought some cherres, apple juice, guava juice, mouthwash online.\",\"I bought some cherres, apple juice, guava juice, mouthwash online.\"\n41674,2022/05/04,I did running on 2022/05/04.,I did running on 2022/05/04.\n41675,2022/05/04,I ate cereals for breakfast.,I ate cereals for breakfast.\n41676,2022/05/04,I ate indian food for lunch.,I ate indian food for lunch.\n41677,2022/05/04,\"I had dinner with Carter, Emily. I ate sandwich.\",\"I had dinner with Carter, Emily. I ate sandwich.\"\n41678,2022/05/04,\"I talked to Olivia, Claire, Kinsley for 25 minutes in the morning.\",\"I talked to Olivia, Claire, Kinsley for 25 minutes in the morning.\"\n41679,2022/05/04,\"I talked to Rylee, Piper, Hazel, Nevaeh for 7 minutes during lunch hours.\",\"I talked to Rylee, Piper, Hazel, Nevaeh for 7 minutes during lunch hours.\"\n41680,2022/05/04,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n41681,2022/05/04,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n41682,2022/05/05,\"On 2022/05/05, I took Jeremiah on a date to a boba shop\",\"On 2022/05/05, I took Jeremiah on a date to a boba shop\"\n41683,2022/05/05,I did hiking on 2022/05/05.,I did hiking on 2022/05/05.\n41684,2022/05/05,\"I had breakfast with Olivia, Piper, Piper, Rylee, Hazel, Nora, Claire, Layla, Lydia, Eva, Nevaeh, Avery. I ate toast and cheese.\",\"I had breakfast with Olivia, Piper, Piper, Rylee, Hazel, Nora, Claire, Layla, Lydia, Eva, Nevaeh, Avery. I ate toast and cheese.\"\n41685,2022/05/05,I ate a burger for lunch.,I ate a burger for lunch.\n41686,2022/05/05,I prepare pasta for dinner.,I prepare pasta for dinner.\n41687,2022/05/05,I spent 15 talking to Piper on various topics late in the evening.,I spent 15 talking to Piper on various topics late in the evening.\n41688,2022/05/05,\"I spent 14 talking to Claire, Eva on various topics during lunch hours.\",\"I spent 14 talking to Claire, Eva on various topics during lunch hours.\"\n41689,2022/05/05,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n41690,2022/05/05,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n41691,2022/05/06,I did biking on 2022/05/06.,I did biking on 2022/05/06.\n41692,2022/05/06,I had oatmeal for breakfast with Jackson,I had oatmeal for breakfast with Jackson\n41693,2022/05/06,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n41694,2022/05/06,I had chinese food for dinner with Kayden,I had chinese food for dinner with Kayden\n41695,2022/05/06,\"I spent 5 talking to Hazel, Eva, Claire, Kinsley on various topics in the early evening.\",\"I spent 5 talking to Hazel, Eva, Claire, Kinsley on various topics in the early evening.\"\n41696,2022/05/06,\"I spent 5 talking to Eva, Avery on various topics late in the evening.\",\"I spent 5 talking to Eva, Avery on various topics late in the evening.\"\n41697,2022/05/06,\"I talked to Piper, Nora for 36 minutes in the early evening.\",\"I talked to Piper, Nora for 36 minutes in the early evening.\"\n41698,2022/05/06,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n41699,2022/05/06,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n41700,2022/05/07,I had breakfast with Andrew. I ate peanut-butter-jam.,I had breakfast with Andrew. I ate peanut-butter-jam.\n41701,2022/05/07,\"I had lunch with Claire, Hazel, Eva. I ate fish and chips.\",\"I had lunch with Claire, Hazel, Eva. I ate fish and chips.\"\n41702,2022/05/07,I prepare tacos for dinner.,I prepare tacos for dinner.\n41703,2022/05/07,\"I spent 8 talking to Claire, Layla on various topics in the early afternoon.\",\"I spent 8 talking to Claire, Layla on various topics in the early afternoon.\"\n41704,2022/05/07,I spent 51 talking to Rylee on various topics in the early afternoon.,I spent 51 talking to Rylee on various topics in the early afternoon.\n41705,2022/05/07,I talked to Avery for 52 minutes in the early afternoon.,I talked to Avery for 52 minutes in the early afternoon.\n41706,2022/05/07,I spent 24 talking to Piper on various topics in the late afternoon.,I spent 24 talking to Piper on various topics in the late afternoon.\n41707,2022/05/07,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n41708,2022/05/07,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n41709,2022/05/08,\"I bought some cherres, watermelons, clementines, orange juice, pineapple juice, mouth wash, paper towel, mouthwash online.\",\"I bought some cherres, watermelons, clementines, orange juice, pineapple juice, mouth wash, paper towel, mouthwash online.\"\n41710,2022/05/08,I did biking on 2022/05/08.,I did biking on 2022/05/08.\n41711,2022/05/08,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n41712,2022/05/08,\"I had steak for lunch with Carter, Kayden\",\"I had steak for lunch with Carter, Kayden\"\n41713,2022/05/08,\"I had dinner with Emily, Carter, Andrew, Kayden. I ate tacos.\",\"I had dinner with Emily, Carter, Andrew, Kayden. I ate tacos.\"\n41714,2022/05/08,\"I talked to Kinsley, Hazel, Lydia, Nevaeh for 12 minutes late in the evening.\",\"I talked to Kinsley, Hazel, Lydia, Nevaeh for 12 minutes late in the evening.\"\n41715,2022/05/08,I talked to Claire for 36 minutes in the early afternoon.,I talked to Claire for 36 minutes in the early afternoon.\n41716,2022/05/08,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n41717,2022/05/08,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n41718,2022/05/09,I did weight lifting on 2022/05/09.,I did weight lifting on 2022/05/09.\n41719,2022/05/09,\"I had eggs, sausages, and bread for breakfast with Kayden\",\"I had eggs, sausages, and bread for breakfast with Kayden\"\n41720,2022/05/09,I ate chinese food for lunch.,I ate chinese food for lunch.\n41721,2022/05/09,I had dinner. I ate steak.,I had dinner. I ate steak.\n41722,2022/05/09,\"I spent 18 talking to Piper, Avery, Layla, Rylee on various topics in the morning.\",\"I spent 18 talking to Piper, Avery, Layla, Rylee on various topics in the morning.\"\n41723,2022/05/09,\"I spent 19 talking to Lydia, Claire on various topics late in the evening.\",\"I spent 19 talking to Lydia, Claire on various topics late in the evening.\"\n41724,2022/05/09,I talked to Kinsley for 15 minutes in the morning.,I talked to Kinsley for 15 minutes in the morning.\n41725,2022/05/09,\"I spent 42 talking to Piper, Lydia, Claire, Nora on various topics in the late afternoon.\",\"I spent 42 talking to Piper, Lydia, Claire, Nora on various topics in the late afternoon.\"\n41726,2022/05/09,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n41727,2022/05/09,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n41728,2022/05/10,I did biking on 2022/05/10.,I did biking on 2022/05/10.\n41729,2022/05/10,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n41730,2022/05/10,I had sandwich for lunch with Carter,I had sandwich for lunch with Carter\n41731,2022/05/10,I ate indian food for dinner.,I ate indian food for dinner.\n41732,2022/05/10,\"I spent 14 talking to Eva, Claire, Nora on various topics in the late afternoon.\",\"I spent 14 talking to Eva, Claire, Nora on various topics in the late afternoon.\"\n41733,2022/05/10,\"I talked to Hazel, Rylee for 6 minutes in the late afternoon.\",\"I talked to Hazel, Rylee for 6 minutes in the late afternoon.\"\n41734,2022/05/10,\"I talked to Kinsley, Piper, Eva, Hazel for 47 minutes in the late afternoon.\",\"I talked to Kinsley, Piper, Eva, Hazel for 47 minutes in the late afternoon.\"\n41735,2022/05/10,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n41736,2022/05/10,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n41737,2022/05/11,\"On 2022/05/11, I took Aubrey on a date to a park\",\"On 2022/05/11, I took Aubrey on a date to a park\"\n41738,2022/05/11,I did weight lifting on 2022/05/11.,I did weight lifting on 2022/05/11.\n41739,2022/05/11,\"I had eggs, sausages, and bread for breakfast with Kayden, Carter\",\"I had eggs, sausages, and bread for breakfast with Kayden, Carter\"\n41740,2022/05/11,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n41741,2022/05/11,I ate steak for dinner.,I ate steak for dinner.\n41742,2022/05/11,\"I spent 12 talking to Nora, Layla, Piper, Lydia on various topics in the morning.\",\"I spent 12 talking to Nora, Layla, Piper, Lydia on various topics in the morning.\"\n41743,2022/05/11,\"I talked to Eva, Lydia for 29 minutes during lunch hours.\",\"I talked to Eva, Lydia for 29 minutes during lunch hours.\"\n41744,2022/05/11,\"I talked to Avery, Eva for 5 minutes during lunch hours.\",\"I talked to Avery, Eva for 5 minutes during lunch hours.\"\n41745,2022/05/11,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n41746,2022/05/11,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n41747,2022/05/12,I did running on 2022/05/12.,I did running on 2022/05/12.\n41748,2022/05/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n41749,2022/05/12,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n41750,2022/05/12,I had dinner with Nevaeh. I ate chinese food.,I had dinner with Nevaeh. I ate chinese food.\n41751,2022/05/12,I talked to Nevaeh for 12 minutes in the early evening.,I talked to Nevaeh for 12 minutes in the early evening.\n41752,2022/05/12,I spent 11 talking to Piper on various topics in the early evening.,I spent 11 talking to Piper on various topics in the early evening.\n41753,2022/05/12,\"I talked to Avery, Eva for 39 minutes in the late afternoon.\",\"I talked to Avery, Eva for 39 minutes in the late afternoon.\"\n41754,2022/05/12,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n41755,2022/05/12,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n41756,2022/05/13,\"I bought some clementines, blueberries, coffee, sports drinks, milk, facial wash, toothpaste, conditioner from the grocery store. I saw Andrew, Carter, Kayden at the grocery store.\",\"I bought some clementines, blueberries, coffee, sports drinks, milk, facial wash, toothpaste, conditioner from the grocery store. I saw Andrew, Carter, Kayden at the grocery store.\"\n41757,2022/05/13,I did swimming on 2022/05/13.,I did swimming on 2022/05/13.\n41758,2022/05/13,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n41759,2022/05/13,\"I had lunch with Jackson, Benjamin, Willow, Avery. I ate steak.\",\"I had lunch with Jackson, Benjamin, Willow, Avery. I ate steak.\"\n41760,2022/05/13,I prepare sushi for dinner.,I prepare sushi for dinner.\n41761,2022/05/13,\"I spent 26 talking to Piper, Nora on various topics during lunch hours.\",\"I spent 26 talking to Piper, Nora on various topics during lunch hours.\"\n41762,2022/05/13,\"I talked to Claire, Olivia, Nora for 25 minutes in the early evening.\",\"I talked to Claire, Olivia, Nora for 25 minutes in the early evening.\"\n41763,2022/05/13,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n41764,2022/05/13,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n41765,2022/05/14,I went on a date with Valentina on 2022/05/14 at a boba shop,I went on a date with Valentina on 2022/05/14 at a boba shop\n41766,2022/05/14,I did weight lifting on 2022/05/14.,I did weight lifting on 2022/05/14.\n41767,2022/05/14,\"I had peanut-butter-jam for breakfast with Emily, Kayden, Andrew\",\"I had peanut-butter-jam for breakfast with Emily, Kayden, Andrew\"\n41768,2022/05/14,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n41769,2022/05/14,I had dinner with Nevaeh. I ate indian food.,I had dinner with Nevaeh. I ate indian food.\n41770,2022/05/14,I spent 13 talking to Nevaeh on various topics in the morning.,I spent 13 talking to Nevaeh on various topics in the morning.\n41771,2022/05/14,\"I spent 25 talking to Layla, Avery, Nora, Hazel on various topics in the late afternoon.\",\"I spent 25 talking to Layla, Avery, Nora, Hazel on various topics in the late afternoon.\"\n41772,2022/05/14,\"I spent 43 talking to Rylee, Claire on various topics during lunch hours.\",\"I spent 43 talking to Rylee, Claire on various topics during lunch hours.\"\n41773,2022/05/14,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n41774,2022/05/14,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n41775,2022/05/15,I did HIIT on 2022/05/15.,I did HIIT on 2022/05/15.\n41776,2022/05/15,\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate eggs, sausages, and bread.\"\n41777,2022/05/15,\"I had steak for lunch with Andrew, Carter, Kayden, Emily\",\"I had steak for lunch with Andrew, Carter, Kayden, Emily\"\n41778,2022/05/15,I had dinner with Benjamin. I ate sandwich.,I had dinner with Benjamin. I ate sandwich.\n41779,2022/05/15,I talked to Lydia for 39 minutes in the morning.,I talked to Lydia for 39 minutes in the morning.\n41780,2022/05/15,\"I spent 17 talking to Kinsley, Avery on various topics late in the evening.\",\"I spent 17 talking to Kinsley, Avery on various topics late in the evening.\"\n41781,2022/05/15,\"I spent 39 talking to Layla, Piper, Piper on various topics in the late afternoon.\",\"I spent 39 talking to Layla, Piper, Piper on various topics in the late afternoon.\"\n41782,2022/05/15,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n41783,2022/05/15,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n41784,2022/05/16,\"I bought some raspberries, apples, strawberries, sports drinks, guava juice, shampoo, shaving cream, body lotion, mouthwash online.\",\"I bought some raspberries, apples, strawberries, sports drinks, guava juice, shampoo, shaving cream, body lotion, mouthwash online.\"\n41785,2022/05/16,I did HIIT on 2022/05/16.,I did HIIT on 2022/05/16.\n41786,2022/05/16,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n41787,2022/05/16,\"I had pasta for lunch with Andrew, Emily, Kayden\",\"I had pasta for lunch with Andrew, Emily, Kayden\"\n41788,2022/05/16,I prepare indian food for dinner.,I prepare indian food for dinner.\n41789,2022/05/16,\"I talked to Layla, Piper for 35 minutes in the morning.\",\"I talked to Layla, Piper for 35 minutes in the morning.\"\n41790,2022/05/16,I talked to Nevaeh for 6 minutes in the early evening.,I talked to Nevaeh for 6 minutes in the early evening.\n41791,2022/05/16,\"I spent 27 talking to Hazel, Avery on various topics in the early afternoon.\",\"I spent 27 talking to Hazel, Avery on various topics in the early afternoon.\"\n41792,2022/05/16,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n41793,2022/05/16,I spent 33 minutes watching a tv series on TV today.,I spent 33 minutes watching a tv series on TV today.\n41794,2022/05/17,I did running on 2022/05/17.,I did running on 2022/05/17.\n41795,2022/05/17,\"I had breakfast with Andrew, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Kayden. I ate peanut-butter-jam.\"\n41796,2022/05/17,I prepare pasta for lunch.,I prepare pasta for lunch.\n41797,2022/05/17,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n41798,2022/05/17,I spent 19 talking to Piper on various topics late in the evening.,I spent 19 talking to Piper on various topics late in the evening.\n41799,2022/05/17,\"I spent 55 talking to Avery, Olivia, Lydia on various topics during lunch hours.\",\"I spent 55 talking to Avery, Olivia, Lydia on various topics during lunch hours.\"\n41800,2022/05/17,\"I spent 6 talking to Rylee, Hazel, Lydia, Layla on various topics in the late afternoon.\",\"I spent 6 talking to Rylee, Hazel, Lydia, Layla on various topics in the late afternoon.\"\n41801,2022/05/17,\"I talked to Kinsley, Rylee, Hazel, Claire for 43 minutes during lunch hours.\",\"I talked to Kinsley, Rylee, Hazel, Claire for 43 minutes during lunch hours.\"\n41802,2022/05/17,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n41803,2022/05/17,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n41804,2022/05/18,I did running on 2022/05/18.,I did running on 2022/05/18.\n41805,2022/05/18,\"I had breakfast with Benjamin. I ate eggs, sausages, and bread.\",\"I had breakfast with Benjamin. I ate eggs, sausages, and bread.\"\n41806,2022/05/18,\"I had lunch with Piper, Piper, Nevaeh, Hazel, Layla, Kinsley, Lydia, Claire. I ate chinese food.\",\"I had lunch with Piper, Piper, Nevaeh, Hazel, Layla, Kinsley, Lydia, Claire. I ate chinese food.\"\n41807,2022/05/18,I ate sandwich for dinner.,I ate sandwich for dinner.\n41808,2022/05/18,\"I talked to Kinsley, Eva, Rylee for 23 minutes in the morning.\",\"I talked to Kinsley, Eva, Rylee for 23 minutes in the morning.\"\n41809,2022/05/18,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n41810,2022/05/18,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n41811,2022/05/19,\"I spent time working out on 2022/05/19 with Emily, Andrew, Carter.\",\"I spent time working out on 2022/05/19 with Emily, Andrew, Carter.\"\n41812,2022/05/19,I did biking on 2022/05/19.,I did biking on 2022/05/19.\n41813,2022/05/19,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n41814,2022/05/19,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n41815,2022/05/19,\"I had fish and chips for dinner with Kayden, Carter\",\"I had fish and chips for dinner with Kayden, Carter\"\n41816,2022/05/19,I spent 46 talking to Claire on various topics late in the evening.,I spent 46 talking to Claire on various topics late in the evening.\n41817,2022/05/19,\"I spent 49 talking to Piper, Kinsley on various topics late in the evening.\",\"I spent 49 talking to Piper, Kinsley on various topics late in the evening.\"\n41818,2022/05/19,\"I talked to Piper, Nevaeh, Olivia, Nora for 55 minutes late in the evening.\",\"I talked to Piper, Nevaeh, Olivia, Nora for 55 minutes late in the evening.\"\n41819,2022/05/19,\"I talked to Claire, Lydia, Eva, Olivia for 23 minutes late in the evening.\",\"I talked to Claire, Lydia, Eva, Olivia for 23 minutes late in the evening.\"\n41820,2022/05/19,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n41821,2022/05/19,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n41822,2022/05/20,I went on a date with Jameson on 2022/05/20 at a park,I went on a date with Jameson on 2022/05/20 at a park\n41823,2022/05/20,I did weight lifting on 2022/05/20.,I did weight lifting on 2022/05/20.\n41824,2022/05/20,\"I had peanut-butter-jam for breakfast with Carter, Andrew, Kayden\",\"I had peanut-butter-jam for breakfast with Carter, Andrew, Kayden\"\n41825,2022/05/20,\"I had fish and chips for lunch with Kayden, Andrew\",\"I had fish and chips for lunch with Kayden, Andrew\"\n41826,2022/05/20,\"I had dinner with Benjamin, Willow, Jackson. I ate a burger.\",\"I had dinner with Benjamin, Willow, Jackson. I ate a burger.\"\n41827,2022/05/20,\"I talked to Olivia, Layla, Hazel, Lydia for 41 minutes late in the evening.\",\"I talked to Olivia, Layla, Hazel, Lydia for 41 minutes late in the evening.\"\n41828,2022/05/20,\"I talked to Eva, Piper, Avery for 48 minutes in the late afternoon.\",\"I talked to Eva, Piper, Avery for 48 minutes in the late afternoon.\"\n41829,2022/05/20,\"I spent 10 talking to Lydia, Piper, Eva, Rylee on various topics during lunch hours.\",\"I spent 10 talking to Lydia, Piper, Eva, Rylee on various topics during lunch hours.\"\n41830,2022/05/20,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n41831,2022/05/20,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n41832,2022/05/21,I did swimming on 2022/05/21.,I did swimming on 2022/05/21.\n41833,2022/05/21,\"I had eggs, sausages, and bread for breakfast with Carter, Kayden\",\"I had eggs, sausages, and bread for breakfast with Carter, Kayden\"\n41834,2022/05/21,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n41835,2022/05/21,\"I had indian food for dinner with Andrew, Carter\",\"I had indian food for dinner with Andrew, Carter\"\n41836,2022/05/21,\"I talked to Avery, Hazel, Eva for 7 minutes in the early afternoon.\",\"I talked to Avery, Hazel, Eva for 7 minutes in the early afternoon.\"\n41837,2022/05/21,I spent 53 talking to Eva on various topics in the early evening.,I spent 53 talking to Eva on various topics in the early evening.\n41838,2022/05/21,\"I talked to Lydia, Piper, Kinsley, Layla for 48 minutes in the early evening.\",\"I talked to Lydia, Piper, Kinsley, Layla for 48 minutes in the early evening.\"\n41839,2022/05/21,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n41840,2022/05/21,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n41841,2022/05/22,\"I went grocery shopping. I bought some blueberries, mangos, apples, coffee, and shaving cream, paper towel, shampoo, toothpaste\",\"I went grocery shopping. I bought some blueberries, mangos, apples, coffee, and shaving cream, paper towel, shampoo, toothpaste\"\n41842,2022/05/22,I did HIIT on 2022/05/22.,I did HIIT on 2022/05/22.\n41843,2022/05/22,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n41844,2022/05/22,I had chinese food for lunch with Andrew,I had chinese food for lunch with Andrew\n41845,2022/05/22,I had sandwich for dinner with Carter,I had sandwich for dinner with Carter\n41846,2022/05/22,\"I talked to Olivia, Nora, Piper, Eva for 22 minutes in the late afternoon.\",\"I talked to Olivia, Nora, Piper, Eva for 22 minutes in the late afternoon.\"\n41847,2022/05/22,\"I talked to Layla, Nevaeh, Rylee, Avery for 55 minutes late in the evening.\",\"I talked to Layla, Nevaeh, Rylee, Avery for 55 minutes late in the evening.\"\n41848,2022/05/22,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n41849,2022/05/22,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n41850,2022/05/23,I did weight lifting on 2022/05/23.,I did weight lifting on 2022/05/23.\n41851,2022/05/23,\"I had cereals for breakfast with Andrew, Carter, Emily\",\"I had cereals for breakfast with Andrew, Carter, Emily\"\n41852,2022/05/23,I ate indian food for lunch.,I ate indian food for lunch.\n41853,2022/05/23,\"I had steak for dinner with Carter, Andrew, Emily\",\"I had steak for dinner with Carter, Andrew, Emily\"\n41854,2022/05/23,\"I spent 31 talking to Olivia, Rylee, Kinsley, Nevaeh on various topics in the early afternoon.\",\"I spent 31 talking to Olivia, Rylee, Kinsley, Nevaeh on various topics in the early afternoon.\"\n41855,2022/05/23,\"I spent 20 talking to Eva, Olivia, Piper on various topics in the late afternoon.\",\"I spent 20 talking to Eva, Olivia, Piper on various topics in the late afternoon.\"\n41856,2022/05/23,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n41857,2022/05/23,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n41858,2022/05/24,\"On 2022/05/24 Claire, Piper and I went to New York, US together for 3 days \",\"On 2022/05/24 Claire, Piper and I went to New York, US together for 3 days \"\n41859,2022/05/24,I had cereals for breakfast with Claire,I had cereals for breakfast with Claire\n41860,2022/05/24,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n41861,2022/05/24,I had dinner with Kayden. I ate fish and chips.,I had dinner with Kayden. I ate fish and chips.\n41862,2022/05/24,\"I spent 9 talking to Eva, Layla, Nora, Piper on various topics in the morning.\",\"I spent 9 talking to Eva, Layla, Nora, Piper on various topics in the morning.\"\n41863,2022/05/24,\"I talked to Piper, Avery, Olivia, Rylee for 14 minutes in the early afternoon.\",\"I talked to Piper, Avery, Olivia, Rylee for 14 minutes in the early afternoon.\"\n41864,2022/05/24,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n41865,2022/05/24,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n41866,2022/05/25,\"During my trip to New York, US, I visited Statue of Liberty on 2022/05 with Claire, Piper.\",\"During my trip to New York, US, I visited Statue of Liberty on 2022/05 with Claire, Piper.\"\n41867,2022/05/25,\"I ate Japanese food at The Halal Guys with Claire, Piper on  2022/05/25 when I was in New York, US.\",\"I ate Japanese food at The Halal Guys with Claire, Piper on  2022/05/25 when I was in New York, US.\"\n41868,2022/05/25,\"I went grocery shopping with Benjamin, Avery. I bought some peaches, guava, apples, oranges, pineapple juice, tea, apple juice, soda, and facial wash, toothbrush\",\"I went grocery shopping with Benjamin, Avery. I bought some peaches, guava, apples, oranges, pineapple juice, tea, apple juice, soda, and facial wash, toothbrush\"\n41869,2022/05/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n41870,2022/05/25,I ate chinese food for lunch.,I ate chinese food for lunch.\n41871,2022/05/25,I prepare pasta for dinner.,I prepare pasta for dinner.\n41872,2022/05/25,I talked to Piper for 54 minutes during lunch hours.,I talked to Piper for 54 minutes during lunch hours.\n41873,2022/05/25,\"I spent 32 talking to Piper, Avery, Rylee, Nora on various topics in the morning.\",\"I spent 32 talking to Piper, Avery, Rylee, Nora on various topics in the morning.\"\n41874,2022/05/25,\"I spent 21 talking to Lydia, Kinsley on various topics in the morning.\",\"I spent 21 talking to Lydia, Kinsley on various topics in the morning.\"\n41875,2022/05/25,\"I spent 33 talking to Eva, Hazel, Claire, Kinsley on various topics in the early afternoon.\",\"I spent 33 talking to Eva, Hazel, Claire, Kinsley on various topics in the early afternoon.\"\n41876,2022/05/25,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n41877,2022/05/25,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n41878,2022/05/26,\"During my trip to New York, US, I visited Central Park on 2022/05 with Claire, Piper.\",\"During my trip to New York, US, I visited Central Park on 2022/05 with Claire, Piper.\"\n41879,2022/05/26,\"I ate Japanese food at Melt Bakery with Claire, Piper on  2022/05/26 when I was in New York, US.\",\"I ate Japanese food at Melt Bakery with Claire, Piper on  2022/05/26 when I was in New York, US.\"\n41880,2022/05/26,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n41881,2022/05/26,I ate pasta for lunch.,I ate pasta for lunch.\n41882,2022/05/26,I ate pasta for dinner.,I ate pasta for dinner.\n41883,2022/05/26,\"I talked to Rylee, Piper, Layla for 53 minutes in the early evening.\",\"I talked to Rylee, Piper, Layla for 53 minutes in the early evening.\"\n41884,2022/05/26,I talked to Claire for 36 minutes during lunch hours.,I talked to Claire for 36 minutes during lunch hours.\n41885,2022/05/26,\"I talked to Hazel, Lydia, Kinsley, Nevaeh for 48 minutes late in the evening.\",\"I talked to Hazel, Lydia, Kinsley, Nevaeh for 48 minutes late in the evening.\"\n41886,2022/05/26,\"I spent 5 talking to Rylee, Avery, Olivia on various topics in the early evening.\",\"I spent 5 talking to Rylee, Avery, Olivia on various topics in the early evening.\"\n41887,2022/05/26,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n41888,2022/05/26,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n41889,2022/05/27,\"During my trip to New York, US, I visited Times Square on 2022/05 with Claire, Piper.\",\"During my trip to New York, US, I visited Times Square on 2022/05 with Claire, Piper.\"\n41890,2022/05/27,\"I ate Italian food at Nuts 4 Nuts with Claire, Piper on  2022/05/27 when I was in New York, US.\",\"I ate Italian food at Nuts 4 Nuts with Claire, Piper on  2022/05/27 when I was in New York, US.\"\n41891,2022/05/27,I had breakfast with Benjamin. I ate cereals.,I had breakfast with Benjamin. I ate cereals.\n41892,2022/05/27,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n41893,2022/05/27,\"I had dinner with Avery, Benjamin. I ate tacos.\",\"I had dinner with Avery, Benjamin. I ate tacos.\"\n41894,2022/05/27,\"I talked to Nevaeh, Olivia, Claire, Lydia for 49 minutes in the early afternoon.\",\"I talked to Nevaeh, Olivia, Claire, Lydia for 49 minutes in the early afternoon.\"\n41895,2022/05/27,\"I spent 12 talking to Piper, Nevaeh on various topics in the morning.\",\"I spent 12 talking to Piper, Nevaeh on various topics in the morning.\"\n41896,2022/05/27,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n41897,2022/05/27,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n41898,2022/05/28,\"During my trip to New York, US, I visited Brooklyn Bridge on 2022/05 with Claire, Piper.\",\"During my trip to New York, US, I visited Brooklyn Bridge on 2022/05 with Claire, Piper.\"\n41899,2022/05/28,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n41900,2022/05/28,I had lunch. I ate steak.,I had lunch. I ate steak.\n41901,2022/05/28,I ate sandwich for dinner.,I ate sandwich for dinner.\n41902,2022/05/28,I spent 40 talking to Layla on various topics in the early afternoon.,I spent 40 talking to Layla on various topics in the early afternoon.\n41903,2022/05/28,\"I talked to Kinsley, Rylee, Hazel, Layla for 9 minutes in the early afternoon.\",\"I talked to Kinsley, Rylee, Hazel, Layla for 9 minutes in the early afternoon.\"\n41904,2022/05/28,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n41905,2022/05/28,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n41906,2022/05/29,\"During my trip to New York, US, I visited Rockefeller Center on 2022/05 with Claire, Piper.\",\"During my trip to New York, US, I visited Rockefeller Center on 2022/05 with Claire, Piper.\"\n41907,2022/05/29,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n41908,2022/05/29,I ate chinese food for lunch.,I ate chinese food for lunch.\n41909,2022/05/29,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n41910,2022/05/29,\"I talked to Lydia, Olivia for 34 minutes in the early afternoon.\",\"I talked to Lydia, Olivia for 34 minutes in the early afternoon.\"\n41911,2022/05/29,\"I spent 7 talking to Piper, Claire, Eva, Piper on various topics in the late afternoon.\",\"I spent 7 talking to Piper, Claire, Eva, Piper on various topics in the late afternoon.\"\n41912,2022/05/29,\"I talked to Claire, Avery, Hazel for 33 minutes in the late afternoon.\",\"I talked to Claire, Avery, Hazel for 33 minutes in the late afternoon.\"\n41913,2022/05/29,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n41914,2022/05/29,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n41915,2022/05/30,\"During my trip to New York, US, I visited Metropolitan Museum of Art on 2022/05 with Claire, Piper.\",\"During my trip to New York, US, I visited Metropolitan Museum of Art on 2022/05 with Claire, Piper.\"\n41916,2022/05/30,\"I had pancakes for breakfast with Emily, Carter\",\"I had pancakes for breakfast with Emily, Carter\"\n41917,2022/05/30,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n41918,2022/05/30,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n41919,2022/05/30,\"I talked to Piper, Nora, Claire, Olivia for 46 minutes in the early evening.\",\"I talked to Piper, Nora, Claire, Olivia for 46 minutes in the early evening.\"\n41920,2022/05/30,\"I spent 5 talking to Nevaeh, Kinsley, Piper on various topics late in the evening.\",\"I spent 5 talking to Nevaeh, Kinsley, Piper on various topics late in the evening.\"\n41921,2022/05/30,\"I spent 38 talking to Lydia, Piper, Piper on various topics late in the evening.\",\"I spent 38 talking to Lydia, Piper, Piper on various topics late in the evening.\"\n41922,2022/05/30,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n41923,2022/05/30,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n41924,2022/05/31,\"During my trip to New York, US, I visited Empire State Building on 2022/05 with Claire, Piper.\",\"During my trip to New York, US, I visited Empire State Building on 2022/05 with Claire, Piper.\"\n41925,2022/05/31,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n41926,2022/05/31,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n41927,2022/05/31,\"I had dinner with Lydia, Hazel, Avery, Piper. I ate sandwich.\",\"I had dinner with Lydia, Hazel, Avery, Piper. I ate sandwich.\"\n41928,2022/05/31,\"I spent 17 talking to Rylee, Nora on various topics during lunch hours.\",\"I spent 17 talking to Rylee, Nora on various topics during lunch hours.\"\n41929,2022/05/31,\"I spent 29 talking to Eva, Hazel, Kinsley, Claire on various topics in the early afternoon.\",\"I spent 29 talking to Eva, Hazel, Kinsley, Claire on various topics in the early afternoon.\"\n41930,2022/05/31,\"I talked to Layla, Claire, Nora for 9 minutes in the late afternoon.\",\"I talked to Layla, Claire, Nora for 9 minutes in the late afternoon.\"\n41931,2022/05/31,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n41932,2022/05/31,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n41933,2022/06/01,I really enjoyed learning a language on 2022/06/01,I really enjoyed learning a language on 2022/06/01\n41934,2022/06/01,\"I bought some guava, nectarines, pears, mangos, coffee, soda, shampoo, mouth wash online.\",\"I bought some guava, nectarines, pears, mangos, coffee, soda, shampoo, mouth wash online.\"\n41935,2022/06/01,I did biking on 2022/06/01.,I did biking on 2022/06/01.\n41936,2022/06/01,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n41937,2022/06/01,I had lunch with Andrew. I ate a burger.,I had lunch with Andrew. I ate a burger.\n41938,2022/06/01,I ate pasta for dinner.,I ate pasta for dinner.\n41939,2022/06/01,I talked to Avery for 20 minutes in the morning.,I talked to Avery for 20 minutes in the morning.\n41940,2022/06/01,\"I talked to Rylee, Avery for 19 minutes during lunch hours.\",\"I talked to Rylee, Avery for 19 minutes during lunch hours.\"\n41941,2022/06/01,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n41942,2022/06/01,I watched a documentary for 29 minutes on TV today.,I watched a documentary for 29 minutes on TV today.\n41943,2022/06/02,\"I had breakfast with Carter, Emily, Andrew. I ate oatmeal.\",\"I had breakfast with Carter, Emily, Andrew. I ate oatmeal.\"\n41944,2022/06/02,\"I had lunch with Layla, Eva, Piper, Nora, Lydia, Piper, Claire, Kinsley, Olivia, Hazel, Avery. I ate pasta.\",\"I had lunch with Layla, Eva, Piper, Nora, Lydia, Piper, Claire, Kinsley, Olivia, Hazel, Avery. I ate pasta.\"\n41945,2022/06/02,I prepare sushi for dinner.,I prepare sushi for dinner.\n41946,2022/06/02,\"I talked to Claire, Lydia for 51 minutes in the early evening.\",\"I talked to Claire, Lydia for 51 minutes in the early evening.\"\n41947,2022/06/02,\"I talked to Nora, Nevaeh, Olivia for 42 minutes in the late afternoon.\",\"I talked to Nora, Nevaeh, Olivia for 42 minutes in the late afternoon.\"\n41948,2022/06/02,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n41949,2022/06/02,I watched a documentary for 49 minutes on TV today.,I watched a documentary for 49 minutes on TV today.\n41950,2022/06/03,I did weight lifting on 2022/06/03.,I did weight lifting on 2022/06/03.\n41951,2022/06/03,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n41952,2022/06/03,I ate steak for lunch.,I ate steak for lunch.\n41953,2022/06/03,\"I had dinner with Willow, Benjamin, Jackson, Avery. I ate a burger.\",\"I had dinner with Willow, Benjamin, Jackson, Avery. I ate a burger.\"\n41954,2022/06/03,\"I talked to Avery, Olivia for 44 minutes in the late afternoon.\",\"I talked to Avery, Olivia for 44 minutes in the late afternoon.\"\n41955,2022/06/03,\"I talked to Lydia, Avery, Olivia for 18 minutes in the early afternoon.\",\"I talked to Lydia, Avery, Olivia for 18 minutes in the early afternoon.\"\n41956,2022/06/03,I spent 16 talking to Avery on various topics in the early afternoon.,I spent 16 talking to Avery on various topics in the early afternoon.\n41957,2022/06/03,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n41958,2022/06/03,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n41959,2022/06/04,I went on a date with Amelia on 2022/06/04 at a coffee Shop,I went on a date with Amelia on 2022/06/04 at a coffee Shop\n41960,2022/06/04,I did swimming on 2022/06/04.,I did swimming on 2022/06/04.\n41961,2022/06/04,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n41962,2022/06/04,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n41963,2022/06/04,I ate a burger for dinner.,I ate a burger for dinner.\n41964,2022/06/04,\"I spent 50 talking to Olivia, Lydia on various topics in the early evening.\",\"I spent 50 talking to Olivia, Lydia on various topics in the early evening.\"\n41965,2022/06/04,\"I talked to Lydia, Layla, Kinsley for 30 minutes late in the evening.\",\"I talked to Lydia, Layla, Kinsley for 30 minutes late in the evening.\"\n41966,2022/06/04,I spent 18 talking to Olivia on various topics in the early afternoon.,I spent 18 talking to Olivia on various topics in the early afternoon.\n41967,2022/06/04,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n41968,2022/06/04,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n41969,2022/06/05,I did HIIT on 2022/06/05.,I did HIIT on 2022/06/05.\n41970,2022/06/05,\"I had oatmeal for breakfast with Avery, Benjamin\",\"I had oatmeal for breakfast with Avery, Benjamin\"\n41971,2022/06/05,I ate chinese food for lunch.,I ate chinese food for lunch.\n41972,2022/06/05,\"I had dinner with Kinsley, Claire, Eva, Hazel, Layla, Olivia. I ate indian food.\",\"I had dinner with Kinsley, Claire, Eva, Hazel, Layla, Olivia. I ate indian food.\"\n41973,2022/06/05,\"I spent 34 talking to Kinsley, Avery, Rylee on various topics late in the evening.\",\"I spent 34 talking to Kinsley, Avery, Rylee on various topics late in the evening.\"\n41974,2022/06/05,I talked to Lydia for 32 minutes in the morning.,I talked to Lydia for 32 minutes in the morning.\n41975,2022/06/05,\"I spent 20 talking to Lydia, Hazel, Eva on various topics in the early afternoon.\",\"I spent 20 talking to Lydia, Hazel, Eva on various topics in the early afternoon.\"\n41976,2022/06/05,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n41977,2022/06/05,I watched news for 51 minutes on TV today.,I watched news for 51 minutes on TV today.\n41978,2022/06/06,\"I bought some nectarines, cherres, blackberries, apricots, tea, orange juice, guava juice, mango juice, toilet paper, toothpaste online.\",\"I bought some nectarines, cherres, blackberries, apricots, tea, orange juice, guava juice, mango juice, toilet paper, toothpaste online.\"\n41979,2022/06/06,I did swimming on 2022/06/06.,I did swimming on 2022/06/06.\n41980,2022/06/06,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n41981,2022/06/06,I ate sushi for lunch.,I ate sushi for lunch.\n41982,2022/06/06,\"I had sushi for dinner with Kayden, Andrew, Carter\",\"I had sushi for dinner with Kayden, Andrew, Carter\"\n41983,2022/06/06,\"I spent 7 talking to Nevaeh, Claire on various topics in the early evening.\",\"I spent 7 talking to Nevaeh, Claire on various topics in the early evening.\"\n41984,2022/06/06,\"I talked to Piper, Nevaeh for 50 minutes during lunch hours.\",\"I talked to Piper, Nevaeh for 50 minutes during lunch hours.\"\n41985,2022/06/06,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n41986,2022/06/06,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n41987,2022/06/07,\"I bought some blueberries, watermelons, strawberries, raspberries, tea, milk, toothbrush, shaving cream, shampoo, paper towel online.\",\"I bought some blueberries, watermelons, strawberries, raspberries, tea, milk, toothbrush, shaving cream, shampoo, paper towel online.\"\n41988,2022/06/07,I did weight lifting on 2022/06/07.,I did weight lifting on 2022/06/07.\n41989,2022/06/07,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n41990,2022/06/07,\"I had pasta for lunch with Olivia, Hazel, Avery, Eva, Piper, Lydia, Kinsley, Rylee, Claire, Nora, Nevaeh, Piper\",\"I had pasta for lunch with Olivia, Hazel, Avery, Eva, Piper, Lydia, Kinsley, Rylee, Claire, Nora, Nevaeh, Piper\"\n41991,2022/06/07,I had dinner. I ate steak.,I had dinner. I ate steak.\n41992,2022/06/07,\"I spent 52 talking to Avery, Nevaeh, Layla on various topics late in the evening.\",\"I spent 52 talking to Avery, Nevaeh, Layla on various topics late in the evening.\"\n41993,2022/06/07,\"I talked to Nora, Lydia for 31 minutes in the early afternoon.\",\"I talked to Nora, Lydia for 31 minutes in the early afternoon.\"\n41994,2022/06/07,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n41995,2022/06/07,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n41996,2022/06/08,I went on a date with Hailey on 2022/06/08 at a coffee Shop,I went on a date with Hailey on 2022/06/08 at a coffee Shop\n41997,2022/06/08,I did weight lifting on 2022/06/08.,I did weight lifting on 2022/06/08.\n41998,2022/06/08,\"I had oatmeal for breakfast with Carter, Emily, Kayden\",\"I had oatmeal for breakfast with Carter, Emily, Kayden\"\n41999,2022/06/08,\"I had lunch with Andrew, Kayden, Emily. I ate steak.\",\"I had lunch with Andrew, Kayden, Emily. I ate steak.\"\n42000,2022/06/08,\"I had steak for dinner with Jackson, Avery\",\"I had steak for dinner with Jackson, Avery\"\n42001,2022/06/08,\"I talked to Claire, Layla, Nora, Olivia for 17 minutes in the morning.\",\"I talked to Claire, Layla, Nora, Olivia for 17 minutes in the morning.\"\n42002,2022/06/08,\"I spent 18 talking to Nora, Piper, Avery on various topics in the morning.\",\"I spent 18 talking to Nora, Piper, Avery on various topics in the morning.\"\n42003,2022/06/08,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n42004,2022/06/08,I watched a movie for 12 minutes on TV today.,I watched a movie for 12 minutes on TV today.\n42005,2022/06/09,I went for an annual vision checkup on 2022/06/09 at the hospital.,I went for an annual vision checkup on 2022/06/09 at the hospital.\n42006,2022/06/09,I spent some time gardening on 2022/06/09.,I spent some time gardening on 2022/06/09.\n42007,2022/06/09,I did weight lifting on 2022/06/09.,I did weight lifting on 2022/06/09.\n42008,2022/06/09,I had toast and cheese for breakfast with Avery,I had toast and cheese for breakfast with Avery\n42009,2022/06/09,I ate sandwich for lunch.,I ate sandwich for lunch.\n42010,2022/06/09,\"I had tacos for dinner with Carter, Kayden\",\"I had tacos for dinner with Carter, Kayden\"\n42011,2022/06/09,\"I talked to Kinsley, Olivia, Piper, Lydia for 42 minutes in the early afternoon.\",\"I talked to Kinsley, Olivia, Piper, Lydia for 42 minutes in the early afternoon.\"\n42012,2022/06/09,I talked to Layla for 33 minutes in the late afternoon.,I talked to Layla for 33 minutes in the late afternoon.\n42013,2022/06/09,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n42014,2022/06/09,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n42015,2022/06/10,I did HIIT on 2022/06/10.,I did HIIT on 2022/06/10.\n42016,2022/06/10,\"I had breakfast with Emily, Kayden, Andrew, Carter. I ate oatmeal.\",\"I had breakfast with Emily, Kayden, Andrew, Carter. I ate oatmeal.\"\n42017,2022/06/10,\"I had tacos for lunch with Emily, Andrew\",\"I had tacos for lunch with Emily, Andrew\"\n42018,2022/06/10,I prepare a burger for dinner.,I prepare a burger for dinner.\n42019,2022/06/10,I spent 41 talking to Layla on various topics during lunch hours.,I spent 41 talking to Layla on various topics during lunch hours.\n42020,2022/06/10,\"I talked to Piper, Avery for 41 minutes late in the evening.\",\"I talked to Piper, Avery for 41 minutes late in the evening.\"\n42021,2022/06/10,I spent 33 talking to Eva on various topics in the morning.,I spent 33 talking to Eva on various topics in the morning.\n42022,2022/06/10,\"I spent 47 talking to Kinsley, Layla on various topics in the late afternoon.\",\"I spent 47 talking to Kinsley, Layla on various topics in the late afternoon.\"\n42023,2022/06/10,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n42024,2022/06/10,I watched a tv series for 49 minutes on TV today.,I watched a tv series for 49 minutes on TV today.\n42025,2022/06/11,\"I bought some nectarines, strawberries, apples, mandarins, guava juice, chocolate milk, tea, toilet paper, facial wash, paper towel, conditioner online.\",\"I bought some nectarines, strawberries, apples, mandarins, guava juice, chocolate milk, tea, toilet paper, facial wash, paper towel, conditioner online.\"\n42026,2022/06/11,I did HIIT on 2022/06/11.,I did HIIT on 2022/06/11.\n42027,2022/06/11,\"I had breakfast with Avery, Willow. I ate toast and cheese.\",\"I had breakfast with Avery, Willow. I ate toast and cheese.\"\n42028,2022/06/11,I ate steak for lunch.,I ate steak for lunch.\n42029,2022/06/11,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n42030,2022/06/11,I spent 50 talking to Piper on various topics in the early afternoon.,I spent 50 talking to Piper on various topics in the early afternoon.\n42031,2022/06/11,\"I talked to Avery, Piper, Hazel, Piper for 16 minutes late in the evening.\",\"I talked to Avery, Piper, Hazel, Piper for 16 minutes late in the evening.\"\n42032,2022/06/11,\"I spent 7 talking to Layla, Kinsley, Nevaeh on various topics in the early afternoon.\",\"I spent 7 talking to Layla, Kinsley, Nevaeh on various topics in the early afternoon.\"\n42033,2022/06/11,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n42034,2022/06/11,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n42035,2022/06/12,I did HIIT on 2022/06/12.,I did HIIT on 2022/06/12.\n42036,2022/06/12,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n42037,2022/06/12,\"I had sushi for lunch with Avery, Nevaeh, Piper\",\"I had sushi for lunch with Avery, Nevaeh, Piper\"\n42038,2022/06/12,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n42039,2022/06/12,\"I talked to Eva, Piper for 37 minutes in the morning.\",\"I talked to Eva, Piper for 37 minutes in the morning.\"\n42040,2022/06/12,\"I spent 25 talking to Kinsley, Piper on various topics during lunch hours.\",\"I spent 25 talking to Kinsley, Piper on various topics during lunch hours.\"\n42041,2022/06/12,\"I talked to Piper, Nevaeh, Piper, Rylee for 38 minutes in the late afternoon.\",\"I talked to Piper, Nevaeh, Piper, Rylee for 38 minutes in the late afternoon.\"\n42042,2022/06/12,\"I talked to Kinsley, Rylee, Eva for 26 minutes in the morning.\",\"I talked to Kinsley, Rylee, Eva for 26 minutes in the morning.\"\n42043,2022/06/12,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n42044,2022/06/12,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n42045,2022/06/13,I went on a date with Adam on 2022/06/13 at a restaurant,I went on a date with Adam on 2022/06/13 at a restaurant\n42046,2022/06/13,I did running on 2022/06/13.,I did running on 2022/06/13.\n42047,2022/06/13,I had breakfast with Benjamin. I ate pancakes.,I had breakfast with Benjamin. I ate pancakes.\n42048,2022/06/13,\"I had lunch with Hazel, Olivia, Avery, Kinsley, Nevaeh, Piper, Eva, Nora, Claire, Piper, Layla, Lydia, Rylee. I ate pasta.\",\"I had lunch with Hazel, Olivia, Avery, Kinsley, Nevaeh, Piper, Eva, Nora, Claire, Piper, Layla, Lydia, Rylee. I ate pasta.\"\n42049,2022/06/13,\"I had dinner with Piper, Piper, Nevaeh, Hazel, Eva, Avery, Claire. I ate sushi.\",\"I had dinner with Piper, Piper, Nevaeh, Hazel, Eva, Avery, Claire. I ate sushi.\"\n42050,2022/06/13,\"I talked to Eva, Nora for 38 minutes in the morning.\",\"I talked to Eva, Nora for 38 minutes in the morning.\"\n42051,2022/06/13,\"I talked to Layla, Olivia, Nora for 24 minutes during lunch hours.\",\"I talked to Layla, Olivia, Nora for 24 minutes during lunch hours.\"\n42052,2022/06/13,\"I talked to Piper, Avery for 28 minutes during lunch hours.\",\"I talked to Piper, Avery for 28 minutes during lunch hours.\"\n42053,2022/06/13,\"I spent 6 talking to Claire, Layla on various topics in the morning.\",\"I spent 6 talking to Claire, Layla on various topics in the morning.\"\n42054,2022/06/13,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n42055,2022/06/13,I spent 39 minutes watching a movie on TV today.,I spent 39 minutes watching a movie on TV today.\n42056,2022/06/14,I took Kayden for his/her  for an annual vision checkup on 2022/06/14 at the private clinic.,I took Kayden for his/her  for an annual vision checkup on 2022/06/14 at the private clinic.\n42057,2022/06/14,I did HIIT on 2022/06/14.,I did HIIT on 2022/06/14.\n42058,2022/06/14,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n42059,2022/06/14,I ate steak for lunch.,I ate steak for lunch.\n42060,2022/06/14,\"I had dinner with Andrew, Kayden, Carter, Emily. I ate pasta.\",\"I had dinner with Andrew, Kayden, Carter, Emily. I ate pasta.\"\n42061,2022/06/14,I spent 19 talking to Nevaeh on various topics in the early evening.,I spent 19 talking to Nevaeh on various topics in the early evening.\n42062,2022/06/14,I spent 42 talking to Eva on various topics in the early afternoon.,I spent 42 talking to Eva on various topics in the early afternoon.\n42063,2022/06/14,\"I spent 20 talking to Olivia, Piper, Avery, Claire on various topics during lunch hours.\",\"I spent 20 talking to Olivia, Piper, Avery, Claire on various topics during lunch hours.\"\n42064,2022/06/14,\"I spent 11 talking to Piper, Nevaeh, Piper on various topics in the early evening.\",\"I spent 11 talking to Piper, Nevaeh, Piper on various topics in the early evening.\"\n42065,2022/06/14,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n42066,2022/06/14,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n42067,2022/06/15,I did weight lifting on 2022/06/15.,I did weight lifting on 2022/06/15.\n42068,2022/06/15,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n42069,2022/06/15,I had lunch with Benjamin. I ate fish and chips.,I had lunch with Benjamin. I ate fish and chips.\n42070,2022/06/15,\"I had sushi for dinner with Claire, Nevaeh, Piper, Olivia, Layla, Lydia, Nora, Rylee, Kinsley, Eva, Piper, Hazel, Avery\",\"I had sushi for dinner with Claire, Nevaeh, Piper, Olivia, Layla, Lydia, Nora, Rylee, Kinsley, Eva, Piper, Hazel, Avery\"\n42071,2022/06/15,\"I spent 40 talking to Nevaeh, Layla, Piper on various topics in the early afternoon.\",\"I spent 40 talking to Nevaeh, Layla, Piper on various topics in the early afternoon.\"\n42072,2022/06/15,\"I spent 27 talking to Rylee, Nevaeh, Avery on various topics during lunch hours.\",\"I spent 27 talking to Rylee, Nevaeh, Avery on various topics during lunch hours.\"\n42073,2022/06/15,\"I spent 26 talking to Rylee, Olivia on various topics during lunch hours.\",\"I spent 26 talking to Rylee, Olivia on various topics during lunch hours.\"\n42074,2022/06/15,\"I spent 25 talking to Eva, Kinsley, Nora, Hazel on various topics late in the evening.\",\"I spent 25 talking to Eva, Kinsley, Nora, Hazel on various topics late in the evening.\"\n42075,2022/06/15,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n42076,2022/06/15,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n42077,2022/06/16,\"I really enjoyed baking chocolate skillet cake, dessert nachos, easy cherry skillet cake on 2022/06/16 with Benjamin at my place\",\"I really enjoyed baking chocolate skillet cake, dessert nachos, easy cherry skillet cake on 2022/06/16 with Benjamin at my place\"\n42078,2022/06/16,I went on a date with Hannah on 2022/06/16 at a boba shop,I went on a date with Hannah on 2022/06/16 at a boba shop\n42079,2022/06/16,\"I bought some strawberries, peaches, orange juice, mango juice, tea, shaving cream, shampoo, toothbrush, facial wash online.\",\"I bought some strawberries, peaches, orange juice, mango juice, tea, shaving cream, shampoo, toothbrush, facial wash online.\"\n42080,2022/06/16,I did swimming on 2022/06/16.,I did swimming on 2022/06/16.\n42081,2022/06/16,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n42082,2022/06/16,\"I had sandwich for lunch with Willow, Jackson, Benjamin, Avery\",\"I had sandwich for lunch with Willow, Jackson, Benjamin, Avery\"\n42083,2022/06/16,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n42084,2022/06/16,\"I spent 52 talking to Claire, Nevaeh on various topics during lunch hours.\",\"I spent 52 talking to Claire, Nevaeh on various topics during lunch hours.\"\n42085,2022/06/16,\"I spent 44 talking to Nora, Layla, Olivia, Kinsley on various topics in the late afternoon.\",\"I spent 44 talking to Nora, Layla, Olivia, Kinsley on various topics in the late afternoon.\"\n42086,2022/06/16,\"I talked to Layla, Hazel, Piper for 13 minutes late in the evening.\",\"I talked to Layla, Hazel, Piper for 13 minutes late in the evening.\"\n42087,2022/06/16,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n42088,2022/06/16,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n42089,2022/06/17,I did HIIT on 2022/06/17.,I did HIIT on 2022/06/17.\n42090,2022/06/17,\"I had cereals for breakfast with Avery, Jackson, Willow\",\"I had cereals for breakfast with Avery, Jackson, Willow\"\n42091,2022/06/17,I ate sushi for lunch.,I ate sushi for lunch.\n42092,2022/06/17,I ate steak for dinner.,I ate steak for dinner.\n42093,2022/06/17,\"I spent 41 talking to Piper, Claire on various topics in the early evening.\",\"I spent 41 talking to Piper, Claire on various topics in the early evening.\"\n42094,2022/06/17,I spent 44 talking to Piper on various topics in the late afternoon.,I spent 44 talking to Piper on various topics in the late afternoon.\n42095,2022/06/17,\"I talked to Avery, Nora, Piper for 32 minutes in the late afternoon.\",\"I talked to Avery, Nora, Piper for 32 minutes in the late afternoon.\"\n42096,2022/06/17,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n42097,2022/06/17,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n42098,2022/06/18,\"I bought some cherres, guava, mangos, peaches, guava juice, shampoo, mouthwash, conditioner from the grocery store. I saw Andrew, Carter, Emily at the grocery store.\",\"I bought some cherres, guava, mangos, peaches, guava juice, shampoo, mouthwash, conditioner from the grocery store. I saw Andrew, Carter, Emily at the grocery store.\"\n42099,2022/06/18,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n42100,2022/06/18,\"I had lunch with Willow, Benjamin, Avery. I ate steak.\",\"I had lunch with Willow, Benjamin, Avery. I ate steak.\"\n42101,2022/06/18,\"I had indian food for dinner with Piper, Layla, Rylee, Hazel, Lydia, Avery, Eva\",\"I had indian food for dinner with Piper, Layla, Rylee, Hazel, Lydia, Avery, Eva\"\n42102,2022/06/18,\"I talked to Lydia, Avery, Piper for 46 minutes in the late afternoon.\",\"I talked to Lydia, Avery, Piper for 46 minutes in the late afternoon.\"\n42103,2022/06/18,\"I spent 53 talking to Rylee, Hazel, Claire, Nevaeh on various topics late in the evening.\",\"I spent 53 talking to Rylee, Hazel, Claire, Nevaeh on various topics late in the evening.\"\n42104,2022/06/18,I talked to Kinsley for 33 minutes in the morning.,I talked to Kinsley for 33 minutes in the morning.\n42105,2022/06/18,\"I talked to Hazel, Avery for 39 minutes during lunch hours.\",\"I talked to Hazel, Avery for 39 minutes during lunch hours.\"\n42106,2022/06/18,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n42107,2022/06/18,I spent 43 minutes watching news on TV today.,I spent 43 minutes watching news on TV today.\n42108,2022/06/19,I did HIIT on 2022/06/19.,I did HIIT on 2022/06/19.\n42109,2022/06/19,\"I had breakfast with Willow, Jackson, Avery, Benjamin. I ate pancakes.\",\"I had breakfast with Willow, Jackson, Avery, Benjamin. I ate pancakes.\"\n42110,2022/06/19,I prepare steak for lunch.,I prepare steak for lunch.\n42111,2022/06/19,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n42112,2022/06/19,\"I spent 23 talking to Olivia, Claire, Piper on various topics in the late afternoon.\",\"I spent 23 talking to Olivia, Claire, Piper on various topics in the late afternoon.\"\n42113,2022/06/19,I talked to Kinsley for 28 minutes in the morning.,I talked to Kinsley for 28 minutes in the morning.\n42114,2022/06/19,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n42115,2022/06/19,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n42116,2022/06/20,I went for an annual physical checkup on 2022/06/20 at the hospital.,I went for an annual physical checkup on 2022/06/20 at the hospital.\n42117,2022/06/20,I did running on 2022/06/20.,I did running on 2022/06/20.\n42118,2022/06/20,\"I had pancakes for breakfast with Rylee, Lydia, Olivia, Hazel, Claire, Nora, Avery, Layla, Eva\",\"I had pancakes for breakfast with Rylee, Lydia, Olivia, Hazel, Claire, Nora, Avery, Layla, Eva\"\n42119,2022/06/20,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n42120,2022/06/20,I ate sushi for dinner.,I ate sushi for dinner.\n42121,2022/06/20,I spent 41 talking to Avery on various topics in the late afternoon.,I spent 41 talking to Avery on various topics in the late afternoon.\n42122,2022/06/20,I spent 7 talking to Nora on various topics in the early evening.,I spent 7 talking to Nora on various topics in the early evening.\n42123,2022/06/20,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n42124,2022/06/20,I spent 39 minutes watching a tv series on TV today.,I spent 39 minutes watching a tv series on TV today.\n42125,2022/06/21,I did running on 2022/06/21.,I did running on 2022/06/21.\n42126,2022/06/21,I had breakfast with Willow. I ate toast and cheese.,I had breakfast with Willow. I ate toast and cheese.\n42127,2022/06/21,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n42128,2022/06/21,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n42129,2022/06/21,I talked to Piper for 54 minutes late in the evening.,I talked to Piper for 54 minutes late in the evening.\n42130,2022/06/21,\"I talked to Kinsley, Eva, Rylee for 51 minutes during lunch hours.\",\"I talked to Kinsley, Eva, Rylee for 51 minutes during lunch hours.\"\n42131,2022/06/21,\"I spent 29 talking to Nevaeh, Avery, Piper, Claire on various topics in the early evening.\",\"I spent 29 talking to Nevaeh, Avery, Piper, Claire on various topics in the early evening.\"\n42132,2022/06/21,\"I spent 48 talking to Piper, Hazel, Olivia, Nevaeh on various topics late in the evening.\",\"I spent 48 talking to Piper, Hazel, Olivia, Nevaeh on various topics late in the evening.\"\n42133,2022/06/21,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n42134,2022/06/21,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n42135,2022/06/22,\"I went grocery shopping. I bought some apricots, mandarins, sports drinks, mineral water, and shaving cream, body lotion, shampoo, toothpaste\",\"I went grocery shopping. I bought some apricots, mandarins, sports drinks, mineral water, and shaving cream, body lotion, shampoo, toothpaste\"\n42136,2022/06/22,I did hiking on 2022/06/22.,I did hiking on 2022/06/22.\n42137,2022/06/22,\"I had breakfast with Andrew, Kayden, Carter. I ate oatmeal.\",\"I had breakfast with Andrew, Kayden, Carter. I ate oatmeal.\"\n42138,2022/06/22,\"I had fish and chips for lunch with Andrew, Emily, Kayden, Carter\",\"I had fish and chips for lunch with Andrew, Emily, Kayden, Carter\"\n42139,2022/06/22,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n42140,2022/06/22,\"I talked to Layla, Avery for 44 minutes in the late afternoon.\",\"I talked to Layla, Avery for 44 minutes in the late afternoon.\"\n42141,2022/06/22,I spent 46 talking to Claire on various topics in the late afternoon.,I spent 46 talking to Claire on various topics in the late afternoon.\n42142,2022/06/22,\"I talked to Nevaeh, Layla, Hazel for 23 minutes in the early afternoon.\",\"I talked to Nevaeh, Layla, Hazel for 23 minutes in the early afternoon.\"\n42143,2022/06/22,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n42144,2022/06/22,I watched a tv series for 30 minutes on TV today.,I watched a tv series for 30 minutes on TV today.\n42145,2022/06/23,I spent some time learning a language on 2022/06/23.,I spent some time learning a language on 2022/06/23.\n42146,2022/06/23,I did swimming on 2022/06/23.,I did swimming on 2022/06/23.\n42147,2022/06/23,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n42148,2022/06/23,I had pasta for lunch with Layla,I had pasta for lunch with Layla\n42149,2022/06/23,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n42150,2022/06/23,\"I talked to Hazel, Nora for 17 minutes late in the evening.\",\"I talked to Hazel, Nora for 17 minutes late in the evening.\"\n42151,2022/06/23,\"I spent 17 talking to Layla, Kinsley, Hazel, Eva on various topics in the morning.\",\"I spent 17 talking to Layla, Kinsley, Hazel, Eva on various topics in the morning.\"\n42152,2022/06/23,I spent 54 talking to Eva on various topics in the late afternoon.,I spent 54 talking to Eva on various topics in the late afternoon.\n42153,2022/06/23,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n42154,2022/06/23,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n42155,2022/06/24,I did running on 2022/06/24.,I did running on 2022/06/24.\n42156,2022/06/24,\"I had peanut-butter-jam for breakfast with Carter, Emily\",\"I had peanut-butter-jam for breakfast with Carter, Emily\"\n42157,2022/06/24,I prepare a burger for lunch.,I prepare a burger for lunch.\n42158,2022/06/24,\"I had chinese food for dinner with Avery, Willow, Jackson, Benjamin\",\"I had chinese food for dinner with Avery, Willow, Jackson, Benjamin\"\n42159,2022/06/24,\"I spent 25 talking to Lydia, Nevaeh, Layla on various topics in the morning.\",\"I spent 25 talking to Lydia, Nevaeh, Layla on various topics in the morning.\"\n42160,2022/06/24,\"I talked to Avery, Nevaeh for 12 minutes late in the evening.\",\"I talked to Avery, Nevaeh for 12 minutes late in the evening.\"\n42161,2022/06/24,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n42162,2022/06/24,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n42163,2022/06/25,\"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate peanut-butter-jam.\"\n42164,2022/06/25,I ate sushi for lunch.,I ate sushi for lunch.\n42165,2022/06/25,\"I had dinner with Avery, Willow, Benjamin, Jackson. I ate sandwich.\",\"I had dinner with Avery, Willow, Benjamin, Jackson. I ate sandwich.\"\n42166,2022/06/25,\"I talked to Nevaeh, Olivia for 40 minutes in the late afternoon.\",\"I talked to Nevaeh, Olivia for 40 minutes in the late afternoon.\"\n42167,2022/06/25,\"I talked to Nevaeh, Claire, Kinsley for 7 minutes late in the evening.\",\"I talked to Nevaeh, Claire, Kinsley for 7 minutes late in the evening.\"\n42168,2022/06/25,\"I spent 41 talking to Nora, Avery on various topics in the early afternoon.\",\"I spent 41 talking to Nora, Avery on various topics in the early afternoon.\"\n42169,2022/06/25,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n42170,2022/06/25,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n42171,2022/06/26,I did HIIT on 2022/06/26.,I did HIIT on 2022/06/26.\n42172,2022/06/26,\"I had cereals for breakfast with Carter, Andrew, Emily\",\"I had cereals for breakfast with Carter, Andrew, Emily\"\n42173,2022/06/26,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n42174,2022/06/26,I ate a burger for dinner.,I ate a burger for dinner.\n42175,2022/06/26,\"I spent 29 talking to Piper, Kinsley on various topics in the late afternoon.\",\"I spent 29 talking to Piper, Kinsley on various topics in the late afternoon.\"\n42176,2022/06/26,\"I talked to Claire, Olivia, Avery, Eva for 13 minutes in the early evening.\",\"I talked to Claire, Olivia, Avery, Eva for 13 minutes in the early evening.\"\n42177,2022/06/26,\"I talked to Nora, Piper for 23 minutes in the late afternoon.\",\"I talked to Nora, Piper for 23 minutes in the late afternoon.\"\n42178,2022/06/26,\"I spent 31 talking to Piper, Nora, Lydia on various topics in the early evening.\",\"I spent 31 talking to Piper, Nora, Lydia on various topics in the early evening.\"\n42179,2022/06/26,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n42180,2022/06/26,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n42181,2022/06/27,I went on a date with Madison on 2022/06/27 at a park,I went on a date with Madison on 2022/06/27 at a park\n42182,2022/06/27,I did swimming on 2022/06/27.,I did swimming on 2022/06/27.\n42183,2022/06/27,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n42184,2022/06/27,\"I had steak for lunch with Piper, Avery, Kinsley, Rylee, Eva, Claire, Nevaeh, Hazel, Nora\",\"I had steak for lunch with Piper, Avery, Kinsley, Rylee, Eva, Claire, Nevaeh, Hazel, Nora\"\n42185,2022/06/27,I ate pasta for dinner.,I ate pasta for dinner.\n42186,2022/06/27,\"I spent 23 talking to Piper, Avery, Piper on various topics in the morning.\",\"I spent 23 talking to Piper, Avery, Piper on various topics in the morning.\"\n42187,2022/06/27,\"I spent 40 talking to Nora, Nevaeh, Avery, Rylee on various topics in the early afternoon.\",\"I spent 40 talking to Nora, Nevaeh, Avery, Rylee on various topics in the early afternoon.\"\n42188,2022/06/27,\"I talked to Avery, Eva for 8 minutes in the early afternoon.\",\"I talked to Avery, Eva for 8 minutes in the early afternoon.\"\n42189,2022/06/27,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n42190,2022/06/27,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n42191,2022/06/28,\"I bought some bananas, tea, apple juice, milk, mouthwash, mouth wash online.\",\"I bought some bananas, tea, apple juice, milk, mouthwash, mouth wash online.\"\n42192,2022/06/28,I had oatmeal for breakfast with Eva,I had oatmeal for breakfast with Eva\n42193,2022/06/28,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n42194,2022/06/28,I prepare indian food for dinner.,I prepare indian food for dinner.\n42195,2022/06/28,I spent 25 talking to Olivia on various topics in the early evening.,I spent 25 talking to Olivia on various topics in the early evening.\n42196,2022/06/28,I talked to Nora for 52 minutes in the late afternoon.,I talked to Nora for 52 minutes in the late afternoon.\n42197,2022/06/28,I spent 8 talking to Rylee on various topics in the early afternoon.,I spent 8 talking to Rylee on various topics in the early afternoon.\n42198,2022/06/28,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n42199,2022/06/28,I spent 40 minutes watching a movie on TV today.,I spent 40 minutes watching a movie on TV today.\n42200,2022/06/29,I did weight lifting on 2022/06/29.,I did weight lifting on 2022/06/29.\n42201,2022/06/29,\"I had eggs, sausages, and bread for breakfast with Carter, Emily, Kayden, Andrew\",\"I had eggs, sausages, and bread for breakfast with Carter, Emily, Kayden, Andrew\"\n42202,2022/06/29,\"I had lunch with Willow, Jackson, Benjamin. I ate chinese food.\",\"I had lunch with Willow, Jackson, Benjamin. I ate chinese food.\"\n42203,2022/06/29,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n42204,2022/06/29,\"I talked to Eva, Piper, Claire for 32 minutes late in the evening.\",\"I talked to Eva, Piper, Claire for 32 minutes late in the evening.\"\n42205,2022/06/29,\"I spent 25 talking to Kinsley, Avery on various topics during lunch hours.\",\"I spent 25 talking to Kinsley, Avery on various topics during lunch hours.\"\n42206,2022/06/29,\"I spent 52 talking to Avery, Olivia, Kinsley on various topics in the early afternoon.\",\"I spent 52 talking to Avery, Olivia, Kinsley on various topics in the early afternoon.\"\n42207,2022/06/29,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n42208,2022/06/29,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n42209,2022/06/30,I went on a date with Mila on 2022/06/30 at a coffee Shop,I went on a date with Mila on 2022/06/30 at a coffee Shop\n42210,2022/06/30,I spent some time yoga on 2022/06/30.,I spent some time yoga on 2022/06/30.\n42211,2022/06/30,\"I had peanut-butter-jam for breakfast with Kayden, Emily, Andrew\",\"I had peanut-butter-jam for breakfast with Kayden, Emily, Andrew\"\n42212,2022/06/30,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n42213,2022/06/30,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n42214,2022/06/30,\"I talked to Nevaeh, Kinsley, Lydia for 47 minutes in the early afternoon.\",\"I talked to Nevaeh, Kinsley, Lydia for 47 minutes in the early afternoon.\"\n42215,2022/06/30,I spent 39 talking to Olivia on various topics in the early evening.,I spent 39 talking to Olivia on various topics in the early evening.\n42216,2022/06/30,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n42217,2022/06/30,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n42218,2022/07/01,I did weight lifting on 2022/07/01.,I did weight lifting on 2022/07/01.\n42219,2022/07/01,\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Emily\",\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Emily\"\n42220,2022/07/01,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n42221,2022/07/01,I prepare a burger for dinner.,I prepare a burger for dinner.\n42222,2022/07/01,I spent 54 talking to Hazel on various topics in the early afternoon.,I spent 54 talking to Hazel on various topics in the early afternoon.\n42223,2022/07/01,\"I spent 50 talking to Rylee, Nora, Claire on various topics in the early afternoon.\",\"I spent 50 talking to Rylee, Nora, Claire on various topics in the early afternoon.\"\n42224,2022/07/01,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n42225,2022/07/01,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n42226,2022/07/02,I went on a date with Ariana on 2022/07/02 at a restaurant,I went on a date with Ariana on 2022/07/02 at a restaurant\n42227,2022/07/02,I really enjoyed learning a language on 2022/07/02,I really enjoyed learning a language on 2022/07/02\n42228,2022/07/02,I did biking on 2022/07/02.,I did biking on 2022/07/02.\n42229,2022/07/02,\"I had toast and cheese for breakfast with Benjamin, Avery, Willow, Jackson\",\"I had toast and cheese for breakfast with Benjamin, Avery, Willow, Jackson\"\n42230,2022/07/02,\"I had indian food for lunch with Jackson, Willow\",\"I had indian food for lunch with Jackson, Willow\"\n42231,2022/07/02,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n42232,2022/07/02,\"I talked to Eva, Piper, Hazel, Avery for 30 minutes during lunch hours.\",\"I talked to Eva, Piper, Hazel, Avery for 30 minutes during lunch hours.\"\n42233,2022/07/02,I spent 28 talking to Avery on various topics in the late afternoon.,I spent 28 talking to Avery on various topics in the late afternoon.\n42234,2022/07/02,\"I spent 47 talking to Olivia, Nevaeh, Eva on various topics in the early afternoon.\",\"I spent 47 talking to Olivia, Nevaeh, Eva on various topics in the early afternoon.\"\n42235,2022/07/02,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n42236,2022/07/02,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n42237,2022/07/03,I did biking on 2022/07/03.,I did biking on 2022/07/03.\n42238,2022/07/03,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n42239,2022/07/03,\"I had pasta for lunch with Lydia, Avery, Nora, Piper, Layla, Kinsley, Eva, Rylee, Hazel, Claire, Nevaeh\",\"I had pasta for lunch with Lydia, Avery, Nora, Piper, Layla, Kinsley, Eva, Rylee, Hazel, Claire, Nevaeh\"\n42240,2022/07/03,\"I had indian food for dinner with Avery, Benjamin, Willow, Jackson\",\"I had indian food for dinner with Avery, Benjamin, Willow, Jackson\"\n42241,2022/07/03,I talked to Piper for 54 minutes in the early afternoon.,I talked to Piper for 54 minutes in the early afternoon.\n42242,2022/07/03,\"I talked to Piper, Kinsley, Avery for 30 minutes late in the evening.\",\"I talked to Piper, Kinsley, Avery for 30 minutes late in the evening.\"\n42243,2022/07/03,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n42244,2022/07/03,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n42245,2022/07/04,I did hiking on 2022/07/04.,I did hiking on 2022/07/04.\n42246,2022/07/04,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n42247,2022/07/04,\"I had lunch with Piper, Nora, Lydia, Rylee, Olivia. I ate sushi.\",\"I had lunch with Piper, Nora, Lydia, Rylee, Olivia. I ate sushi.\"\n42248,2022/07/04,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n42249,2022/07/04,\"I talked to Nevaeh, Olivia, Piper, Avery for 7 minutes late in the evening.\",\"I talked to Nevaeh, Olivia, Piper, Avery for 7 minutes late in the evening.\"\n42250,2022/07/04,\"I talked to Piper, Kinsley for 53 minutes during lunch hours.\",\"I talked to Piper, Kinsley for 53 minutes during lunch hours.\"\n42251,2022/07/04,\"I talked to Nevaeh, Nora for 14 minutes in the early afternoon.\",\"I talked to Nevaeh, Nora for 14 minutes in the early afternoon.\"\n42252,2022/07/04,\"I spent 55 talking to Avery, Eva, Claire, Hazel on various topics in the late afternoon.\",\"I spent 55 talking to Avery, Eva, Claire, Hazel on various topics in the late afternoon.\"\n42253,2022/07/04,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n42254,2022/07/04,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n42255,2022/07/05,I spent time learning a language on 2022/07/05 with Rylee.,I spent time learning a language on 2022/07/05 with Rylee.\n42256,2022/07/05,I did running on 2022/07/05.,I did running on 2022/07/05.\n42257,2022/07/05,I ate cereals for breakfast.,I ate cereals for breakfast.\n42258,2022/07/05,\"I had a burger for lunch with Avery, Layla, Rylee, Nora, Kinsley, Eva, Lydia, Olivia\",\"I had a burger for lunch with Avery, Layla, Rylee, Nora, Kinsley, Eva, Lydia, Olivia\"\n42259,2022/07/05,I prepare pasta for dinner.,I prepare pasta for dinner.\n42260,2022/07/05,I talked to Piper for 19 minutes in the late afternoon.,I talked to Piper for 19 minutes in the late afternoon.\n42261,2022/07/05,\"I spent 41 talking to Eva, Olivia, Avery on various topics in the early evening.\",\"I spent 41 talking to Eva, Olivia, Avery on various topics in the early evening.\"\n42262,2022/07/05,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n42263,2022/07/05,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n42264,2022/07/06,I did swimming on 2022/07/06.,I did swimming on 2022/07/06.\n42265,2022/07/06,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n42266,2022/07/06,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n42267,2022/07/06,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n42268,2022/07/06,\"I spent 33 talking to Kinsley, Claire, Hazel, Eva on various topics during lunch hours.\",\"I spent 33 talking to Kinsley, Claire, Hazel, Eva on various topics during lunch hours.\"\n42269,2022/07/06,\"I talked to Piper, Nora, Claire, Eva for 22 minutes in the early afternoon.\",\"I talked to Piper, Nora, Claire, Eva for 22 minutes in the early afternoon.\"\n42270,2022/07/06,\"I spent 39 talking to Nevaeh, Nora on various topics in the morning.\",\"I spent 39 talking to Nevaeh, Nora on various topics in the morning.\"\n42271,2022/07/06,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n42272,2022/07/06,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n42273,2022/07/07,\"I went grocery shopping with Nevaeh, Olivia, Nora. I bought some pears, peaches, mineral water, tea, milk, soda, and shaving cream, mouth wash\",\"I went grocery shopping with Nevaeh, Olivia, Nora. I bought some pears, peaches, mineral water, tea, milk, soda, and shaving cream, mouth wash\"\n42274,2022/07/07,I did swimming on 2022/07/07.,I did swimming on 2022/07/07.\n42275,2022/07/07,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n42276,2022/07/07,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n42277,2022/07/07,\"I had dinner with Rylee, Eva, Layla, Claire, Lydia, Kinsley, Piper, Piper, Olivia, Avery, Hazel. I ate fish and chips.\",\"I had dinner with Rylee, Eva, Layla, Claire, Lydia, Kinsley, Piper, Piper, Olivia, Avery, Hazel. I ate fish and chips.\"\n42278,2022/07/07,I talked to Piper for 26 minutes during lunch hours.,I talked to Piper for 26 minutes during lunch hours.\n42279,2022/07/07,\"I talked to Claire, Nevaeh, Piper, Kinsley for 17 minutes late in the evening.\",\"I talked to Claire, Nevaeh, Piper, Kinsley for 17 minutes late in the evening.\"\n42280,2022/07/07,\"I spent 32 talking to Piper, Lydia, Nora, Nevaeh on various topics in the morning.\",\"I spent 32 talking to Piper, Lydia, Nora, Nevaeh on various topics in the morning.\"\n42281,2022/07/07,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n42282,2022/07/07,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n42283,2022/07/08,I did hiking on 2022/07/08.,I did hiking on 2022/07/08.\n42284,2022/07/08,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n42285,2022/07/08,I ate sushi for lunch.,I ate sushi for lunch.\n42286,2022/07/08,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n42287,2022/07/08,\"I spent 52 talking to Claire, Olivia on various topics during lunch hours.\",\"I spent 52 talking to Claire, Olivia on various topics during lunch hours.\"\n42288,2022/07/08,\"I talked to Olivia, Nevaeh, Layla, Lydia for 5 minutes late in the evening.\",\"I talked to Olivia, Nevaeh, Layla, Lydia for 5 minutes late in the evening.\"\n42289,2022/07/08,I spent 33 talking to Piper on various topics in the early afternoon.,I spent 33 talking to Piper on various topics in the early afternoon.\n42290,2022/07/08,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n42291,2022/07/08,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n42292,2022/07/09,I did weight lifting on 2022/07/09.,I did weight lifting on 2022/07/09.\n42293,2022/07/09,\"I had eggs, sausages, and bread for breakfast with Avery, Nora, Kinsley, Claire, Olivia, Piper, Layla, Rylee\",\"I had eggs, sausages, and bread for breakfast with Avery, Nora, Kinsley, Claire, Olivia, Piper, Layla, Rylee\"\n42294,2022/07/09,I had lunch with Kayden. I ate fish and chips.,I had lunch with Kayden. I ate fish and chips.\n42295,2022/07/09,\"I had a burger for dinner with Jackson, Avery, Benjamin, Willow\",\"I had a burger for dinner with Jackson, Avery, Benjamin, Willow\"\n42296,2022/07/09,\"I spent 22 talking to Kinsley, Avery, Claire on various topics in the early afternoon.\",\"I spent 22 talking to Kinsley, Avery, Claire on various topics in the early afternoon.\"\n42297,2022/07/09,\"I talked to Layla, Piper, Rylee for 53 minutes during lunch hours.\",\"I talked to Layla, Piper, Rylee for 53 minutes during lunch hours.\"\n42298,2022/07/09,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n42299,2022/07/09,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n42300,2022/07/10,I did hiking on 2022/07/10.,I did hiking on 2022/07/10.\n42301,2022/07/10,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n42302,2022/07/10,\"I had lunch with Kinsley, Piper, Nora, Eva, Hazel, Lydia, Rylee, Piper, Layla, Olivia, Avery. I ate sushi.\",\"I had lunch with Kinsley, Piper, Nora, Eva, Hazel, Lydia, Rylee, Piper, Layla, Olivia, Avery. I ate sushi.\"\n42303,2022/07/10,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n42304,2022/07/10,\"I spent 36 talking to Avery, Rylee, Claire on various topics in the early evening.\",\"I spent 36 talking to Avery, Rylee, Claire on various topics in the early evening.\"\n42305,2022/07/10,\"I talked to Nevaeh, Nora, Olivia for 25 minutes in the early afternoon.\",\"I talked to Nevaeh, Nora, Olivia for 25 minutes in the early afternoon.\"\n42306,2022/07/10,\"I talked to Rylee, Avery, Eva for 53 minutes during lunch hours.\",\"I talked to Rylee, Avery, Eva for 53 minutes during lunch hours.\"\n42307,2022/07/10,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n42308,2022/07/10,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n42309,2022/07/11,\"On 2022/07/11, I took Owen on a date to a coffee Shop\",\"On 2022/07/11, I took Owen on a date to a coffee Shop\"\n42310,2022/07/11,\"I spent time working out on 2022/07/11 with Emily, Kayden, Carter.\",\"I spent time working out on 2022/07/11 with Emily, Kayden, Carter.\"\n42311,2022/07/11,I did weight lifting on 2022/07/11.,I did weight lifting on 2022/07/11.\n42312,2022/07/11,\"I had toast and cheese for breakfast with Layla, Rylee, Nevaeh\",\"I had toast and cheese for breakfast with Layla, Rylee, Nevaeh\"\n42313,2022/07/11,\"I had lunch with Kayden, Andrew. I ate indian food.\",\"I had lunch with Kayden, Andrew. I ate indian food.\"\n42314,2022/07/11,\"I had a burger for dinner with Andrew, Kayden\",\"I had a burger for dinner with Andrew, Kayden\"\n42315,2022/07/11,\"I spent 8 talking to Avery, Eva, Nevaeh, Layla on various topics in the morning.\",\"I spent 8 talking to Avery, Eva, Nevaeh, Layla on various topics in the morning.\"\n42316,2022/07/11,\"I spent 14 talking to Nevaeh, Lydia, Olivia, Piper on various topics in the late afternoon.\",\"I spent 14 talking to Nevaeh, Lydia, Olivia, Piper on various topics in the late afternoon.\"\n42317,2022/07/11,\"I spent 44 talking to Nora, Avery on various topics in the morning.\",\"I spent 44 talking to Nora, Avery on various topics in the morning.\"\n42318,2022/07/11,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n42319,2022/07/11,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n42320,2022/07/12,\"I had peanut-butter-jam for breakfast with Kayden, Emily, Andrew\",\"I had peanut-butter-jam for breakfast with Kayden, Emily, Andrew\"\n42321,2022/07/12,I ate sandwich for lunch.,I ate sandwich for lunch.\n42322,2022/07/12,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n42323,2022/07/12,I talked to Nora for 27 minutes late in the evening.,I talked to Nora for 27 minutes late in the evening.\n42324,2022/07/12,\"I spent 38 talking to Nevaeh, Lydia, Olivia on various topics in the morning.\",\"I spent 38 talking to Nevaeh, Lydia, Olivia on various topics in the morning.\"\n42325,2022/07/12,\"I spent 50 talking to Olivia, Layla, Piper, Kinsley on various topics in the morning.\",\"I spent 50 talking to Olivia, Layla, Piper, Kinsley on various topics in the morning.\"\n42326,2022/07/12,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n42327,2022/07/12,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n42328,2022/07/13,I did running on 2022/07/13.,I did running on 2022/07/13.\n42329,2022/07/13,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n42330,2022/07/13,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n42331,2022/07/13,\"I had chinese food for dinner with Kayden, Andrew\",\"I had chinese food for dinner with Kayden, Andrew\"\n42332,2022/07/13,\"I talked to Avery, Kinsley for 51 minutes in the late afternoon.\",\"I talked to Avery, Kinsley for 51 minutes in the late afternoon.\"\n42333,2022/07/13,I talked to Piper for 33 minutes in the early evening.,I talked to Piper for 33 minutes in the early evening.\n42334,2022/07/13,\"I talked to Piper, Nora for 11 minutes during lunch hours.\",\"I talked to Piper, Nora for 11 minutes during lunch hours.\"\n42335,2022/07/13,I talked to Eva for 36 minutes late in the evening.,I talked to Eva for 36 minutes late in the evening.\n42336,2022/07/13,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n42337,2022/07/13,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n42338,2022/07/14,I did biking on 2022/07/14.,I did biking on 2022/07/14.\n42339,2022/07/14,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n42340,2022/07/14,I ate pasta for lunch.,I ate pasta for lunch.\n42341,2022/07/14,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n42342,2022/07/14,\"I talked to Claire, Eva for 17 minutes during lunch hours.\",\"I talked to Claire, Eva for 17 minutes during lunch hours.\"\n42343,2022/07/14,I spent 25 talking to Claire on various topics in the early evening.,I spent 25 talking to Claire on various topics in the early evening.\n42344,2022/07/14,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n42345,2022/07/14,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n42346,2022/07/15,\"I went grocery shopping. I bought some nectarines, tea, chocolate milk, guava juice, and mouth wash, paper towel, conditioner, toothbrush\",\"I went grocery shopping. I bought some nectarines, tea, chocolate milk, guava juice, and mouth wash, paper towel, conditioner, toothbrush\"\n42347,2022/07/15,I did hiking on 2022/07/15.,I did hiking on 2022/07/15.\n42348,2022/07/15,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n42349,2022/07/15,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n42350,2022/07/15,\"I had dinner with Carter, Andrew, Kayden, Emily. I ate chinese food.\",\"I had dinner with Carter, Andrew, Kayden, Emily. I ate chinese food.\"\n42351,2022/07/15,\"I spent 25 talking to Layla, Piper, Nevaeh, Claire on various topics in the early evening.\",\"I spent 25 talking to Layla, Piper, Nevaeh, Claire on various topics in the early evening.\"\n42352,2022/07/15,I spent 47 talking to Nora on various topics in the early afternoon.,I spent 47 talking to Nora on various topics in the early afternoon.\n42353,2022/07/15,\"I spent 15 talking to Hazel, Nevaeh, Eva, Avery on various topics in the late afternoon.\",\"I spent 15 talking to Hazel, Nevaeh, Eva, Avery on various topics in the late afternoon.\"\n42354,2022/07/15,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n42355,2022/07/15,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n42356,2022/07/16,I did weight lifting on 2022/07/16.,I did weight lifting on 2022/07/16.\n42357,2022/07/16,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n42358,2022/07/16,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n42359,2022/07/16,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n42360,2022/07/16,\"I spent 14 talking to Avery, Eva, Piper, Piper on various topics in the early evening.\",\"I spent 14 talking to Avery, Eva, Piper, Piper on various topics in the early evening.\"\n42361,2022/07/16,\"I talked to Nora, Hazel for 12 minutes in the late afternoon.\",\"I talked to Nora, Hazel for 12 minutes in the late afternoon.\"\n42362,2022/07/16,I spent 8 talking to Kinsley on various topics in the early evening.,I spent 8 talking to Kinsley on various topics in the early evening.\n42363,2022/07/16,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n42364,2022/07/16,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n42365,2022/07/17,I went for an annual dental cleaning and checkup on 2022/07/17 at the hospital.,I went for an annual dental cleaning and checkup on 2022/07/17 at the hospital.\n42366,2022/07/17,\"I bought some blueberries, blackberries, clementines, orange juice, mouth wash, body lotion, shampoo online.\",\"I bought some blueberries, blackberries, clementines, orange juice, mouth wash, body lotion, shampoo online.\"\n42367,2022/07/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n42368,2022/07/17,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n42369,2022/07/17,\"I had chinese food for dinner with Piper, Claire, Avery, Kinsley, Eva, Lydia, Hazel, Layla, Nevaeh, Olivia, Nora, Rylee\",\"I had chinese food for dinner with Piper, Claire, Avery, Kinsley, Eva, Lydia, Hazel, Layla, Nevaeh, Olivia, Nora, Rylee\"\n42370,2022/07/17,\"I spent 15 talking to Lydia, Nevaeh, Hazel, Claire on various topics in the early afternoon.\",\"I spent 15 talking to Lydia, Nevaeh, Hazel, Claire on various topics in the early afternoon.\"\n42371,2022/07/17,I talked to Lydia for 44 minutes in the early afternoon.,I talked to Lydia for 44 minutes in the early afternoon.\n42372,2022/07/17,I spent 15 talking to Olivia on various topics in the morning.,I spent 15 talking to Olivia on various topics in the morning.\n42373,2022/07/17,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n42374,2022/07/17,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n42375,2022/07/18,I did running on 2022/07/18.,I did running on 2022/07/18.\n42376,2022/07/18,\"I had breakfast with Eva, Avery, Piper, Hazel, Nevaeh, Piper, Claire, Layla, Nora, Lydia, Rylee. I ate toast and cheese.\",\"I had breakfast with Eva, Avery, Piper, Hazel, Nevaeh, Piper, Claire, Layla, Nora, Lydia, Rylee. I ate toast and cheese.\"\n42377,2022/07/18,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n42378,2022/07/18,I prepare sushi for dinner.,I prepare sushi for dinner.\n42379,2022/07/18,\"I spent 49 talking to Nora, Kinsley on various topics in the early evening.\",\"I spent 49 talking to Nora, Kinsley on various topics in the early evening.\"\n42380,2022/07/18,\"I spent 24 talking to Rylee, Lydia on various topics in the early afternoon.\",\"I spent 24 talking to Rylee, Lydia on various topics in the early afternoon.\"\n42381,2022/07/18,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n42382,2022/07/18,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n42383,2022/07/19,I did running on 2022/07/19.,I did running on 2022/07/19.\n42384,2022/07/19,\"I had cereals for breakfast with Carter, Andrew, Emily, Kayden\",\"I had cereals for breakfast with Carter, Andrew, Emily, Kayden\"\n42385,2022/07/19,I ate sushi for lunch.,I ate sushi for lunch.\n42386,2022/07/19,I had dinner with Emily. I ate fish and chips.,I had dinner with Emily. I ate fish and chips.\n42387,2022/07/19,I talked to Kinsley for 35 minutes in the morning.,I talked to Kinsley for 35 minutes in the morning.\n42388,2022/07/19,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n42389,2022/07/19,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n42390,2022/07/20,\"I went grocery shopping. I bought some apricots, pineapples, orange juice, tea, mango juice, and toothbrush, body lotion, mouth wash, shampoo\",\"I went grocery shopping. I bought some apricots, pineapples, orange juice, tea, mango juice, and toothbrush, body lotion, mouth wash, shampoo\"\n42391,2022/07/20,I did weight lifting on 2022/07/20.,I did weight lifting on 2022/07/20.\n42392,2022/07/20,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n42393,2022/07/20,\"I had lunch with Claire, Lydia, Nevaeh, Piper, Olivia, Nora, Layla, Kinsley, Hazel, Eva, Rylee. I ate sushi.\",\"I had lunch with Claire, Lydia, Nevaeh, Piper, Olivia, Nora, Layla, Kinsley, Hazel, Eva, Rylee. I ate sushi.\"\n42394,2022/07/20,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n42395,2022/07/20,\"I talked to Piper, Eva, Lydia for 27 minutes in the early evening.\",\"I talked to Piper, Eva, Lydia for 27 minutes in the early evening.\"\n42396,2022/07/20,I talked to Nevaeh for 48 minutes in the morning.,I talked to Nevaeh for 48 minutes in the morning.\n42397,2022/07/20,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n42398,2022/07/20,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n42399,2022/07/21,I did running on 2022/07/21.,I did running on 2022/07/21.\n42400,2022/07/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n42401,2022/07/21,I prepare pasta for lunch.,I prepare pasta for lunch.\n42402,2022/07/21,\"I had sandwich for dinner with Avery, Piper, Layla, Eva, Kinsley, Piper, Rylee, Claire, Nora, Olivia, Lydia, Hazel, Nevaeh\",\"I had sandwich for dinner with Avery, Piper, Layla, Eva, Kinsley, Piper, Rylee, Claire, Nora, Olivia, Lydia, Hazel, Nevaeh\"\n42403,2022/07/21,\"I talked to Piper, Rylee, Avery for 47 minutes in the morning.\",\"I talked to Piper, Rylee, Avery for 47 minutes in the morning.\"\n42404,2022/07/21,\"I talked to Layla, Piper for 25 minutes in the early afternoon.\",\"I talked to Layla, Piper for 25 minutes in the early afternoon.\"\n42405,2022/07/21,\"I spent 46 talking to Claire, Hazel, Piper on various topics late in the evening.\",\"I spent 46 talking to Claire, Hazel, Piper on various topics late in the evening.\"\n42406,2022/07/21,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n42407,2022/07/21,I spent 15 minutes watching a documentary on TV today.,I spent 15 minutes watching a documentary on TV today.\n42408,2022/07/22,I did hiking on 2022/07/22.,I did hiking on 2022/07/22.\n42409,2022/07/22,I had toast and cheese for breakfast with Andrew,I had toast and cheese for breakfast with Andrew\n42410,2022/07/22,I ate pasta for lunch.,I ate pasta for lunch.\n42411,2022/07/22,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n42412,2022/07/22,\"I talked to Nora, Piper, Olivia for 51 minutes in the early evening.\",\"I talked to Nora, Piper, Olivia for 51 minutes in the early evening.\"\n42413,2022/07/22,\"I talked to Olivia, Nevaeh for 35 minutes late in the evening.\",\"I talked to Olivia, Nevaeh for 35 minutes late in the evening.\"\n42414,2022/07/22,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n42415,2022/07/22,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n42416,2022/07/23,\"I entertained Nora, Nevaeh, Eva, Lydia at my place on 2022/07/23 and bake blackberry-raspberry skillet cobbler\",\"I entertained Nora, Nevaeh, Eva, Lydia at my place on 2022/07/23 and bake blackberry-raspberry skillet cobbler\"\n42417,2022/07/23,\"On 2022/07/23, I took Owen on a date to a restaurant\",\"On 2022/07/23, I took Owen on a date to a restaurant\"\n42418,2022/07/23,I really enjoyed gardening on 2022/07/23,I really enjoyed gardening on 2022/07/23\n42419,2022/07/23,I did hiking on 2022/07/23.,I did hiking on 2022/07/23.\n42420,2022/07/23,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n42421,2022/07/23,\"I had pasta for lunch with Carter, Kayden\",\"I had pasta for lunch with Carter, Kayden\"\n42422,2022/07/23,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n42423,2022/07/23,\"I spent 53 talking to Nora, Avery, Lydia, Piper on various topics late in the evening.\",\"I spent 53 talking to Nora, Avery, Lydia, Piper on various topics late in the evening.\"\n42424,2022/07/23,\"I talked to Olivia, Claire, Avery, Nora for 5 minutes during lunch hours.\",\"I talked to Olivia, Claire, Avery, Nora for 5 minutes during lunch hours.\"\n42425,2022/07/23,\"I talked to Rylee, Piper, Layla for 25 minutes in the early afternoon.\",\"I talked to Rylee, Piper, Layla for 25 minutes in the early afternoon.\"\n42426,2022/07/23,\"I spent 35 talking to Claire, Nora on various topics late in the evening.\",\"I spent 35 talking to Claire, Nora on various topics late in the evening.\"\n42427,2022/07/23,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n42428,2022/07/23,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n42429,2022/07/24,I did weight lifting on 2022/07/24.,I did weight lifting on 2022/07/24.\n42430,2022/07/24,\"I had breakfast with Andrew, Emily, Kayden. I ate oatmeal.\",\"I had breakfast with Andrew, Emily, Kayden. I ate oatmeal.\"\n42431,2022/07/24,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n42432,2022/07/24,I prepare tacos for dinner.,I prepare tacos for dinner.\n42433,2022/07/24,\"I talked to Hazel, Nora, Layla, Kinsley for 53 minutes in the late afternoon.\",\"I talked to Hazel, Nora, Layla, Kinsley for 53 minutes in the late afternoon.\"\n42434,2022/07/24,\"I talked to Avery, Rylee, Piper for 32 minutes in the early evening.\",\"I talked to Avery, Rylee, Piper for 32 minutes in the early evening.\"\n42435,2022/07/24,\"I spent 40 talking to Avery, Nevaeh, Lydia, Hazel on various topics in the morning.\",\"I spent 40 talking to Avery, Nevaeh, Lydia, Hazel on various topics in the morning.\"\n42436,2022/07/24,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n42437,2022/07/24,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n42438,2022/07/25,I did HIIT on 2022/07/25.,I did HIIT on 2022/07/25.\n42439,2022/07/25,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n42440,2022/07/25,I ate chinese food for lunch.,I ate chinese food for lunch.\n42441,2022/07/25,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n42442,2022/07/25,\"I talked to Layla, Hazel, Avery, Piper for 54 minutes late in the evening.\",\"I talked to Layla, Hazel, Avery, Piper for 54 minutes late in the evening.\"\n42443,2022/07/25,\"I spent 48 talking to Layla, Piper, Claire on various topics late in the evening.\",\"I spent 48 talking to Layla, Piper, Claire on various topics late in the evening.\"\n42444,2022/07/25,\"I spent 10 talking to Olivia, Layla, Nora, Piper on various topics during lunch hours.\",\"I spent 10 talking to Olivia, Layla, Nora, Piper on various topics during lunch hours.\"\n42445,2022/07/25,\"I talked to Rylee, Eva, Nora, Lydia for 40 minutes in the late afternoon.\",\"I talked to Rylee, Eva, Nora, Lydia for 40 minutes in the late afternoon.\"\n42446,2022/07/25,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n42447,2022/07/25,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n42448,2022/07/26,I really enjoyed yoga on 2022/07/26,I really enjoyed yoga on 2022/07/26\n42449,2022/07/26,I did running on 2022/07/26.,I did running on 2022/07/26.\n42450,2022/07/26,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n42451,2022/07/26,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n42452,2022/07/26,I ate chinese food for dinner.,I ate chinese food for dinner.\n42453,2022/07/26,I talked to Eva for 53 minutes late in the evening.,I talked to Eva for 53 minutes late in the evening.\n42454,2022/07/26,\"I spent 33 talking to Claire, Layla on various topics in the late afternoon.\",\"I spent 33 talking to Claire, Layla on various topics in the late afternoon.\"\n42455,2022/07/26,I talked to Nora for 50 minutes in the late afternoon.,I talked to Nora for 50 minutes in the late afternoon.\n42456,2022/07/26,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n42457,2022/07/26,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n42458,2022/07/27,I did swimming on 2022/07/27.,I did swimming on 2022/07/27.\n42459,2022/07/27,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n42460,2022/07/27,\"I had sandwich for lunch with Emily, Andrew\",\"I had sandwich for lunch with Emily, Andrew\"\n42461,2022/07/27,\"I had a burger for dinner with Avery, Nora, Rylee, Kinsley, Eva, Hazel, Nevaeh, Layla, Lydia, Piper, Olivia, Claire\",\"I had a burger for dinner with Avery, Nora, Rylee, Kinsley, Eva, Hazel, Nevaeh, Layla, Lydia, Piper, Olivia, Claire\"\n42462,2022/07/27,\"I talked to Layla, Nora, Avery, Olivia for 55 minutes in the early evening.\",\"I talked to Layla, Nora, Avery, Olivia for 55 minutes in the early evening.\"\n42463,2022/07/27,\"I spent 34 talking to Layla, Hazel on various topics during lunch hours.\",\"I spent 34 talking to Layla, Hazel on various topics during lunch hours.\"\n42464,2022/07/27,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n42465,2022/07/27,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n42466,2022/07/28,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n42467,2022/07/28,\"I had tacos for lunch with Avery, Benjamin, Willow, Jackson\",\"I had tacos for lunch with Avery, Benjamin, Willow, Jackson\"\n42468,2022/07/28,\"I had dinner with Eva, Piper, Hazel, Piper, Olivia, Kinsley, Rylee, Nevaeh, Nora, Claire, Lydia, Layla. I ate fish and chips.\",\"I had dinner with Eva, Piper, Hazel, Piper, Olivia, Kinsley, Rylee, Nevaeh, Nora, Claire, Lydia, Layla. I ate fish and chips.\"\n42469,2022/07/28,\"I talked to Layla, Nevaeh, Hazel for 16 minutes in the late afternoon.\",\"I talked to Layla, Nevaeh, Hazel for 16 minutes in the late afternoon.\"\n42470,2022/07/28,\"I talked to Rylee, Kinsley, Layla, Piper for 31 minutes in the early evening.\",\"I talked to Rylee, Kinsley, Layla, Piper for 31 minutes in the early evening.\"\n42471,2022/07/28,\"I spent 35 talking to Kinsley, Claire, Olivia, Avery on various topics during lunch hours.\",\"I spent 35 talking to Kinsley, Claire, Olivia, Avery on various topics during lunch hours.\"\n42472,2022/07/28,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n42473,2022/07/28,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n42474,2022/07/29,\"I was baking easy cherry skillet cake, cinnamon sheet cake with cider frosting on 2022/07/29 with Willow at my place\",\"I was baking easy cherry skillet cake, cinnamon sheet cake with cider frosting on 2022/07/29 with Willow at my place\"\n42475,2022/07/29,\"I bought some clementines, bananas, strawberries, pineapple juice, apple juice, facial wash, body lotion, toilet paper online.\",\"I bought some clementines, bananas, strawberries, pineapple juice, apple juice, facial wash, body lotion, toilet paper online.\"\n42476,2022/07/29,I did hiking on 2022/07/29.,I did hiking on 2022/07/29.\n42477,2022/07/29,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n42478,2022/07/29,I had indian food for lunch with Kayden,I had indian food for lunch with Kayden\n42479,2022/07/29,I prepare a burger for dinner.,I prepare a burger for dinner.\n42480,2022/07/29,I spent 54 talking to Piper on various topics in the late afternoon.,I spent 54 talking to Piper on various topics in the late afternoon.\n42481,2022/07/29,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n42482,2022/07/29,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n42483,2022/07/30,I did biking on 2022/07/30.,I did biking on 2022/07/30.\n42484,2022/07/30,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n42485,2022/07/30,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n42486,2022/07/30,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n42487,2022/07/30,\"I spent 33 talking to Claire, Kinsley, Piper on various topics during lunch hours.\",\"I spent 33 talking to Claire, Kinsley, Piper on various topics during lunch hours.\"\n42488,2022/07/30,I talked to Hazel for 18 minutes in the late afternoon.,I talked to Hazel for 18 minutes in the late afternoon.\n42489,2022/07/30,\"I talked to Nevaeh, Layla, Nora, Hazel for 49 minutes in the morning.\",\"I talked to Nevaeh, Layla, Nora, Hazel for 49 minutes in the morning.\"\n42490,2022/07/30,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n42491,2022/07/30,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n42492,2022/07/31,I did HIIT on 2022/07/31.,I did HIIT on 2022/07/31.\n42493,2022/07/31,\"I had cereals for breakfast with Jackson, Avery, Benjamin, Willow\",\"I had cereals for breakfast with Jackson, Avery, Benjamin, Willow\"\n42494,2022/07/31,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n42495,2022/07/31,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n42496,2022/07/31,\"I talked to Kinsley, Piper for 30 minutes in the late afternoon.\",\"I talked to Kinsley, Piper for 30 minutes in the late afternoon.\"\n42497,2022/07/31,\"I talked to Piper, Hazel for 53 minutes in the morning.\",\"I talked to Piper, Hazel for 53 minutes in the morning.\"\n42498,2022/07/31,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n42499,2022/07/31,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n42500,2022/08/01,\"I spent time meditation on 2022/08/01 with Kinsley, Rylee, Eva.\",\"I spent time meditation on 2022/08/01 with Kinsley, Rylee, Eva.\"\n42501,2022/08/01,I did hiking on 2022/08/01.,I did hiking on 2022/08/01.\n42502,2022/08/01,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n42503,2022/08/01,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n42504,2022/08/01,I ate tacos for dinner.,I ate tacos for dinner.\n42505,2022/08/01,\"I spent 15 talking to Hazel, Kinsley, Nora, Eva on various topics in the early evening.\",\"I spent 15 talking to Hazel, Kinsley, Nora, Eva on various topics in the early evening.\"\n42506,2022/08/01,\"I spent 22 talking to Nora, Piper, Kinsley, Hazel on various topics in the early evening.\",\"I spent 22 talking to Nora, Piper, Kinsley, Hazel on various topics in the early evening.\"\n42507,2022/08/01,\"I spent 48 talking to Avery, Olivia on various topics in the early evening.\",\"I spent 48 talking to Avery, Olivia on various topics in the early evening.\"\n42508,2022/08/01,\"I talked to Piper, Hazel for 11 minutes in the early afternoon.\",\"I talked to Piper, Hazel for 11 minutes in the early afternoon.\"\n42509,2022/08/01,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n42510,2022/08/01,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n42511,2022/08/02,\"I really enjoyed baking peanut butter cookies, brownies on 2022/08/02 with Kayden, Carter, Andrew, Emily at my place\",\"I really enjoyed baking peanut butter cookies, brownies on 2022/08/02 with Kayden, Carter, Andrew, Emily at my place\"\n42512,2022/08/02,\"I went grocery shopping with Willow, Benjamin, Jackson. I bought some mangos, pineapples, coffee, sports drinks, apple juice, chocolate milk, and toilet paper\",\"I went grocery shopping with Willow, Benjamin, Jackson. I bought some mangos, pineapples, coffee, sports drinks, apple juice, chocolate milk, and toilet paper\"\n42513,2022/08/02,I did hiking on 2022/08/02.,I did hiking on 2022/08/02.\n42514,2022/08/02,\"I had toast and cheese for breakfast with Piper, Hazel, Lydia, Kinsley, Piper, Layla, Claire, Nora, Rylee, Eva, Avery\",\"I had toast and cheese for breakfast with Piper, Hazel, Lydia, Kinsley, Piper, Layla, Claire, Nora, Rylee, Eva, Avery\"\n42515,2022/08/02,I prepare tacos for lunch.,I prepare tacos for lunch.\n42516,2022/08/02,I ate sandwich for dinner.,I ate sandwich for dinner.\n42517,2022/08/02,\"I spent 34 talking to Avery, Olivia on various topics during lunch hours.\",\"I spent 34 talking to Avery, Olivia on various topics during lunch hours.\"\n42518,2022/08/02,\"I talked to Piper, Claire for 43 minutes late in the evening.\",\"I talked to Piper, Claire for 43 minutes late in the evening.\"\n42519,2022/08/02,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n42520,2022/08/02,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n42521,2022/08/03,I did HIIT on 2022/08/03.,I did HIIT on 2022/08/03.\n42522,2022/08/03,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n42523,2022/08/03,I ate chinese food for lunch.,I ate chinese food for lunch.\n42524,2022/08/03,\"I had sushi for dinner with Andrew, Carter\",\"I had sushi for dinner with Andrew, Carter\"\n42525,2022/08/03,\"I spent 22 talking to Nora, Nevaeh, Kinsley, Hazel on various topics in the morning.\",\"I spent 22 talking to Nora, Nevaeh, Kinsley, Hazel on various topics in the morning.\"\n42526,2022/08/03,\"I spent 54 talking to Claire, Rylee on various topics during lunch hours.\",\"I spent 54 talking to Claire, Rylee on various topics during lunch hours.\"\n42527,2022/08/03,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n42528,2022/08/03,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n42529,2022/08/04,I went on a date with Alon on 2022/08/04 at a boba shop,I went on a date with Alon on 2022/08/04 at a boba shop\n42530,2022/08/04,I did running on 2022/08/04.,I did running on 2022/08/04.\n42531,2022/08/04,\"I had breakfast with Carter, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Andrew. I ate eggs, sausages, and bread.\"\n42532,2022/08/04,I prepare a burger for lunch.,I prepare a burger for lunch.\n42533,2022/08/04,I ate sandwich for dinner.,I ate sandwich for dinner.\n42534,2022/08/04,\"I talked to Nora, Claire, Eva, Olivia for 32 minutes late in the evening.\",\"I talked to Nora, Claire, Eva, Olivia for 32 minutes late in the evening.\"\n42535,2022/08/04,\"I talked to Olivia, Hazel, Piper for 7 minutes during lunch hours.\",\"I talked to Olivia, Hazel, Piper for 7 minutes during lunch hours.\"\n42536,2022/08/04,\"I spent 17 talking to Claire, Rylee on various topics in the late afternoon.\",\"I spent 17 talking to Claire, Rylee on various topics in the late afternoon.\"\n42537,2022/08/04,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n42538,2022/08/04,I watched a movie for 54 minutes on TV today.,I watched a movie for 54 minutes on TV today.\n42539,2022/08/05,\"I spent time meditation on 2022/08/05 with Avery, Benjamin, Willow.\",\"I spent time meditation on 2022/08/05 with Avery, Benjamin, Willow.\"\n42540,2022/08/05,I did biking on 2022/08/05.,I did biking on 2022/08/05.\n42541,2022/08/05,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n42542,2022/08/05,I prepare sushi for lunch.,I prepare sushi for lunch.\n42543,2022/08/05,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n42544,2022/08/05,I spent 11 talking to Avery on various topics during lunch hours.,I spent 11 talking to Avery on various topics during lunch hours.\n42545,2022/08/05,I talked to Piper for 52 minutes in the late afternoon.,I talked to Piper for 52 minutes in the late afternoon.\n42546,2022/08/05,I talked to Nora for 53 minutes in the late afternoon.,I talked to Nora for 53 minutes in the late afternoon.\n42547,2022/08/05,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n42548,2022/08/05,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n42549,2022/08/06,I went on a date with Leah on 2022/08/06 at a park,I went on a date with Leah on 2022/08/06 at a park\n42550,2022/08/06,I did weight lifting on 2022/08/06.,I did weight lifting on 2022/08/06.\n42551,2022/08/06,\"I had pancakes for breakfast with Lydia, Olivia, Piper, Rylee, Eva, Claire\",\"I had pancakes for breakfast with Lydia, Olivia, Piper, Rylee, Eva, Claire\"\n42552,2022/08/06,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n42553,2022/08/06,\"I had fish and chips for dinner with Nora, Olivia, Kinsley, Piper, Hazel, Piper, Rylee, Nevaeh, Lydia, Avery, Eva\",\"I had fish and chips for dinner with Nora, Olivia, Kinsley, Piper, Hazel, Piper, Rylee, Nevaeh, Lydia, Avery, Eva\"\n42554,2022/08/06,I spent 20 talking to Eva on various topics late in the evening.,I spent 20 talking to Eva on various topics late in the evening.\n42555,2022/08/06,I talked to Lydia for 28 minutes during lunch hours.,I talked to Lydia for 28 minutes during lunch hours.\n42556,2022/08/06,\"I spent 10 talking to Piper, Hazel, Eva on various topics late in the evening.\",\"I spent 10 talking to Piper, Hazel, Eva on various topics late in the evening.\"\n42557,2022/08/06,\"I talked to Lydia, Piper, Olivia, Eva for 13 minutes in the early evening.\",\"I talked to Lydia, Piper, Olivia, Eva for 13 minutes in the early evening.\"\n42558,2022/08/06,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n42559,2022/08/06,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n42560,2022/08/07,I did hiking on 2022/08/07.,I did hiking on 2022/08/07.\n42561,2022/08/07,\"I had breakfast with Piper, Kinsley, Eva, Piper, Olivia, Lydia, Avery, Rylee, Claire. I ate oatmeal.\",\"I had breakfast with Piper, Kinsley, Eva, Piper, Olivia, Lydia, Avery, Rylee, Claire. I ate oatmeal.\"\n42562,2022/08/07,\"I had lunch with Andrew, Emily, Kayden, Carter. I ate sushi.\",\"I had lunch with Andrew, Emily, Kayden, Carter. I ate sushi.\"\n42563,2022/08/07,I prepare a burger for dinner.,I prepare a burger for dinner.\n42564,2022/08/07,\"I talked to Piper, Nevaeh for 53 minutes in the late afternoon.\",\"I talked to Piper, Nevaeh for 53 minutes in the late afternoon.\"\n42565,2022/08/07,\"I spent 22 talking to Avery, Nora, Kinsley, Eva on various topics in the morning.\",\"I spent 22 talking to Avery, Nora, Kinsley, Eva on various topics in the morning.\"\n42566,2022/08/07,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n42567,2022/08/07,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n42568,2022/08/08,\"I bought some raspberries, bananas, pears, milk, sports drinks, mouth wash, facial wash, toilet paper, toothpaste online.\",\"I bought some raspberries, bananas, pears, milk, sports drinks, mouth wash, facial wash, toilet paper, toothpaste online.\"\n42569,2022/08/08,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n42570,2022/08/08,I had sandwich for lunch with Emily,I had sandwich for lunch with Emily\n42571,2022/08/08,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n42572,2022/08/08,\"I talked to Claire, Rylee for 39 minutes in the early afternoon.\",\"I talked to Claire, Rylee for 39 minutes in the early afternoon.\"\n42573,2022/08/08,\"I spent 51 talking to Kinsley, Claire, Olivia on various topics in the early afternoon.\",\"I spent 51 talking to Kinsley, Claire, Olivia on various topics in the early afternoon.\"\n42574,2022/08/08,\"I talked to Eva, Layla, Claire for 53 minutes during lunch hours.\",\"I talked to Eva, Layla, Claire for 53 minutes during lunch hours.\"\n42575,2022/08/08,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n42576,2022/08/08,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n42577,2022/08/09,\"I really enjoyed baking blackberry jam pie-crust straws, chocolate skillet cake on 2022/08/09 with Avery at my place\",\"I really enjoyed baking blackberry jam pie-crust straws, chocolate skillet cake on 2022/08/09 with Avery at my place\"\n42578,2022/08/09,I went on a date with Lucas on 2022/08/09 at a coffee Shop,I went on a date with Lucas on 2022/08/09 at a coffee Shop\n42579,2022/08/09,I did swimming on 2022/08/09.,I did swimming on 2022/08/09.\n42580,2022/08/09,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n42581,2022/08/09,\"I had sandwich for lunch with Emily, Kayden, Andrew\",\"I had sandwich for lunch with Emily, Kayden, Andrew\"\n42582,2022/08/09,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n42583,2022/08/09,\"I talked to Kinsley, Avery for 12 minutes during lunch hours.\",\"I talked to Kinsley, Avery for 12 minutes during lunch hours.\"\n42584,2022/08/09,I talked to Hazel for 33 minutes in the late afternoon.,I talked to Hazel for 33 minutes in the late afternoon.\n42585,2022/08/09,\"I talked to Piper, Nevaeh, Rylee, Eva for 5 minutes late in the evening.\",\"I talked to Piper, Nevaeh, Rylee, Eva for 5 minutes late in the evening.\"\n42586,2022/08/09,\"I spent 6 talking to Piper, Nevaeh, Claire, Eva on various topics in the early evening.\",\"I spent 6 talking to Piper, Nevaeh, Claire, Eva on various topics in the early evening.\"\n42587,2022/08/09,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n42588,2022/08/09,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n42589,2022/08/10,\"I went grocery shopping with Carter, Andrew. I bought some bananas, blackberries, mango juice, milk, tea, and mouthwash\",\"I went grocery shopping with Carter, Andrew. I bought some bananas, blackberries, mango juice, milk, tea, and mouthwash\"\n42590,2022/08/10,I did biking on 2022/08/10.,I did biking on 2022/08/10.\n42591,2022/08/10,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n42592,2022/08/10,\"I had lunch with Carter, Kayden, Emily. I ate indian food.\",\"I had lunch with Carter, Kayden, Emily. I ate indian food.\"\n42593,2022/08/10,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n42594,2022/08/10,\"I talked to Kinsley, Lydia, Layla for 23 minutes in the early evening.\",\"I talked to Kinsley, Lydia, Layla for 23 minutes in the early evening.\"\n42595,2022/08/10,I spent 12 talking to Kinsley on various topics in the early afternoon.,I spent 12 talking to Kinsley on various topics in the early afternoon.\n42596,2022/08/10,\"I spent 12 talking to Olivia, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 12 talking to Olivia, Piper, Nevaeh on various topics in the late afternoon.\"\n42597,2022/08/10,\"I spent 15 talking to Nora, Hazel on various topics in the morning.\",\"I spent 15 talking to Nora, Hazel on various topics in the morning.\"\n42598,2022/08/10,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n42599,2022/08/10,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n42600,2022/08/11,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n42601,2022/08/11,I ate a burger for lunch.,I ate a burger for lunch.\n42602,2022/08/11,I had dinner. I ate steak.,I had dinner. I ate steak.\n42603,2022/08/11,\"I spent 46 talking to Olivia, Layla, Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 46 talking to Olivia, Layla, Piper, Nevaeh on various topics in the early afternoon.\"\n42604,2022/08/11,\"I talked to Eva, Layla for 44 minutes in the early evening.\",\"I talked to Eva, Layla for 44 minutes in the early evening.\"\n42605,2022/08/11,\"I spent 13 talking to Lydia, Claire, Piper, Rylee on various topics in the early evening.\",\"I spent 13 talking to Lydia, Claire, Piper, Rylee on various topics in the early evening.\"\n42606,2022/08/11,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n42607,2022/08/11,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n42608,2022/08/12,I did hiking on 2022/08/12.,I did hiking on 2022/08/12.\n42609,2022/08/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n42610,2022/08/12,I ate chinese food for lunch.,I ate chinese food for lunch.\n42611,2022/08/12,\"I had dinner with Willow, Jackson. I ate fish and chips.\",\"I had dinner with Willow, Jackson. I ate fish and chips.\"\n42612,2022/08/12,\"I talked to Lydia, Layla for 54 minutes during lunch hours.\",\"I talked to Lydia, Layla for 54 minutes during lunch hours.\"\n42613,2022/08/12,\"I spent 25 talking to Lydia, Nevaeh on various topics in the early evening.\",\"I spent 25 talking to Lydia, Nevaeh on various topics in the early evening.\"\n42614,2022/08/12,\"I talked to Olivia, Piper, Eva for 35 minutes late in the evening.\",\"I talked to Olivia, Piper, Eva for 35 minutes late in the evening.\"\n42615,2022/08/12,\"I spent 40 talking to Layla, Avery, Lydia on various topics in the morning.\",\"I spent 40 talking to Layla, Avery, Lydia on various topics in the morning.\"\n42616,2022/08/12,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n42617,2022/08/12,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n42618,2022/08/13,I did swimming on 2022/08/13.,I did swimming on 2022/08/13.\n42619,2022/08/13,\"I had eggs, sausages, and bread for breakfast with Emily, Kayden, Carter\",\"I had eggs, sausages, and bread for breakfast with Emily, Kayden, Carter\"\n42620,2022/08/13,\"I had sushi for lunch with Jackson, Benjamin, Avery\",\"I had sushi for lunch with Jackson, Benjamin, Avery\"\n42621,2022/08/13,\"I had dinner with Rylee, Hazel, Nevaeh, Nora, Kinsley, Lydia, Claire, Piper, Layla, Eva, Olivia, Piper. I ate steak.\",\"I had dinner with Rylee, Hazel, Nevaeh, Nora, Kinsley, Lydia, Claire, Piper, Layla, Eva, Olivia, Piper. I ate steak.\"\n42622,2022/08/13,I talked to Hazel for 49 minutes during lunch hours.,I talked to Hazel for 49 minutes during lunch hours.\n42623,2022/08/13,\"I spent 44 talking to Avery, Olivia, Piper, Nevaeh on various topics late in the evening.\",\"I spent 44 talking to Avery, Olivia, Piper, Nevaeh on various topics late in the evening.\"\n42624,2022/08/13,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n42625,2022/08/13,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n42626,2022/08/14,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n42627,2022/08/14,I prepare a burger for lunch.,I prepare a burger for lunch.\n42628,2022/08/14,I ate pasta for dinner.,I ate pasta for dinner.\n42629,2022/08/14,\"I spent 55 talking to Kinsley, Lydia, Olivia on various topics in the morning.\",\"I spent 55 talking to Kinsley, Lydia, Olivia on various topics in the morning.\"\n42630,2022/08/14,I talked to Rylee for 36 minutes late in the evening.,I talked to Rylee for 36 minutes late in the evening.\n42631,2022/08/14,\"I spent 17 talking to Layla, Olivia, Piper on various topics during lunch hours.\",\"I spent 17 talking to Layla, Olivia, Piper on various topics during lunch hours.\"\n42632,2022/08/14,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n42633,2022/08/14,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n42634,2022/08/15,I did HIIT on 2022/08/15.,I did HIIT on 2022/08/15.\n42635,2022/08/15,\"I had eggs, sausages, and bread for breakfast with Eva, Hazel\",\"I had eggs, sausages, and bread for breakfast with Eva, Hazel\"\n42636,2022/08/15,I prepare steak for lunch.,I prepare steak for lunch.\n42637,2022/08/15,\"I had sandwich for dinner with Olivia, Nora, Avery, Piper\",\"I had sandwich for dinner with Olivia, Nora, Avery, Piper\"\n42638,2022/08/15,\"I spent 52 talking to Nora, Nevaeh, Piper, Avery on various topics in the late afternoon.\",\"I spent 52 talking to Nora, Nevaeh, Piper, Avery on various topics in the late afternoon.\"\n42639,2022/08/15,\"I talked to Piper, Piper, Hazel for 7 minutes in the morning.\",\"I talked to Piper, Piper, Hazel for 7 minutes in the morning.\"\n42640,2022/08/15,\"I spent 32 talking to Rylee, Lydia on various topics in the morning.\",\"I spent 32 talking to Rylee, Lydia on various topics in the morning.\"\n42641,2022/08/15,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n42642,2022/08/15,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n42643,2022/08/16,I did HIIT on 2022/08/16.,I did HIIT on 2022/08/16.\n42644,2022/08/16,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n42645,2022/08/16,I ate tacos for lunch.,I ate tacos for lunch.\n42646,2022/08/16,I prepare tacos for dinner.,I prepare tacos for dinner.\n42647,2022/08/16,I spent 12 talking to Olivia on various topics in the morning.,I spent 12 talking to Olivia on various topics in the morning.\n42648,2022/08/16,\"I spent 18 talking to Layla, Avery, Claire on various topics in the early afternoon.\",\"I spent 18 talking to Layla, Avery, Claire on various topics in the early afternoon.\"\n42649,2022/08/16,\"I spent 54 talking to Layla, Eva, Piper, Rylee on various topics during lunch hours.\",\"I spent 54 talking to Layla, Eva, Piper, Rylee on various topics during lunch hours.\"\n42650,2022/08/16,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n42651,2022/08/16,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n42652,2022/08/17,\"I was cooking ground turkey vegetable soup, cashew chicken , cream of celery soup recipe on 2022/08/17 with Piper at my place\",\"I was cooking ground turkey vegetable soup, cashew chicken , cream of celery soup recipe on 2022/08/17 with Piper at my place\"\n42653,2022/08/17,\"I spent time yoga on 2022/08/17 with Jackson, Avery.\",\"I spent time yoga on 2022/08/17 with Jackson, Avery.\"\n42654,2022/08/17,I did swimming on 2022/08/17.,I did swimming on 2022/08/17.\n42655,2022/08/17,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n42656,2022/08/17,I prepare a burger for lunch.,I prepare a burger for lunch.\n42657,2022/08/17,I prepare sushi for dinner.,I prepare sushi for dinner.\n42658,2022/08/17,I spent 42 talking to Piper on various topics in the early afternoon.,I spent 42 talking to Piper on various topics in the early afternoon.\n42659,2022/08/17,\"I spent 51 talking to Lydia, Nevaeh, Hazel on various topics during lunch hours.\",\"I spent 51 talking to Lydia, Nevaeh, Hazel on various topics during lunch hours.\"\n42660,2022/08/17,I spent 49 talking to Avery on various topics in the early evening.,I spent 49 talking to Avery on various topics in the early evening.\n42661,2022/08/17,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n42662,2022/08/17,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n42663,2022/08/18,\"I went grocery shopping. I bought some apricots, pears, milk, soda, orange juice, mango juice, and paper towel, toothbrush, mouth wash, toilet paper\",\"I went grocery shopping. I bought some apricots, pears, milk, soda, orange juice, mango juice, and paper towel, toothbrush, mouth wash, toilet paper\"\n42664,2022/08/18,I did swimming on 2022/08/18.,I did swimming on 2022/08/18.\n42665,2022/08/18,\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\"\n42666,2022/08/18,\"I had steak for lunch with Carter, Emily, Kayden, Andrew\",\"I had steak for lunch with Carter, Emily, Kayden, Andrew\"\n42667,2022/08/18,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n42668,2022/08/18,\"I talked to Kinsley, Lydia for 12 minutes in the early afternoon.\",\"I talked to Kinsley, Lydia for 12 minutes in the early afternoon.\"\n42669,2022/08/18,\"I talked to Piper, Nora, Rylee for 35 minutes in the late afternoon.\",\"I talked to Piper, Nora, Rylee for 35 minutes in the late afternoon.\"\n42670,2022/08/18,I spent 23 talking to Hazel on various topics in the early evening.,I spent 23 talking to Hazel on various topics in the early evening.\n42671,2022/08/18,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n42672,2022/08/18,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n42673,2022/08/19,I did weight lifting on 2022/08/19.,I did weight lifting on 2022/08/19.\n42674,2022/08/19,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n42675,2022/08/19,I ate tacos for lunch.,I ate tacos for lunch.\n42676,2022/08/19,\"I had dinner with Andrew, Carter. I ate steak.\",\"I had dinner with Andrew, Carter. I ate steak.\"\n42677,2022/08/19,\"I spent 35 talking to Piper, Eva, Rylee, Olivia on various topics during lunch hours.\",\"I spent 35 talking to Piper, Eva, Rylee, Olivia on various topics during lunch hours.\"\n42678,2022/08/19,I talked to Lydia for 40 minutes in the late afternoon.,I talked to Lydia for 40 minutes in the late afternoon.\n42679,2022/08/19,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n42680,2022/08/19,I watched a tv series for 51 minutes on TV today.,I watched a tv series for 51 minutes on TV today.\n42681,2022/08/20,\"I bought some raspberries, nectarines, cherres, blueberries, milk, tea, conditioner, toothbrush, shaving cream from the grocery store. I saw Olivia, Kinsley, Hazel, Lydia, Nora, Piper, Piper, Eva, Claire, Avery, Rylee, Nevaeh, Layla at the grocery store.\",\"I bought some raspberries, nectarines, cherres, blueberries, milk, tea, conditioner, toothbrush, shaving cream from the grocery store. I saw Olivia, Kinsley, Hazel, Lydia, Nora, Piper, Piper, Eva, Claire, Avery, Rylee, Nevaeh, Layla at the grocery store.\"\n42682,2022/08/20,I did HIIT on 2022/08/20.,I did HIIT on 2022/08/20.\n42683,2022/08/20,I ate cereals for breakfast.,I ate cereals for breakfast.\n42684,2022/08/20,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n42685,2022/08/20,\"I had tacos for dinner with Avery, Nevaeh\",\"I had tacos for dinner with Avery, Nevaeh\"\n42686,2022/08/20,\"I spent 13 talking to Lydia, Hazel, Olivia on various topics during lunch hours.\",\"I spent 13 talking to Lydia, Hazel, Olivia on various topics during lunch hours.\"\n42687,2022/08/20,\"I talked to Lydia, Rylee for 42 minutes in the late afternoon.\",\"I talked to Lydia, Rylee for 42 minutes in the late afternoon.\"\n42688,2022/08/20,\"I spent 32 talking to Piper, Layla, Rylee, Eva on various topics during lunch hours.\",\"I spent 32 talking to Piper, Layla, Rylee, Eva on various topics during lunch hours.\"\n42689,2022/08/20,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n42690,2022/08/20,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n42691,2022/08/21,I did hiking on 2022/08/21.,I did hiking on 2022/08/21.\n42692,2022/08/21,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n42693,2022/08/21,I prepare indian food for lunch.,I prepare indian food for lunch.\n42694,2022/08/21,\"I had dinner with Jackson, Benjamin, Willow, Avery. I ate sandwich.\",\"I had dinner with Jackson, Benjamin, Willow, Avery. I ate sandwich.\"\n42695,2022/08/21,\"I talked to Nora, Hazel, Claire, Piper for 33 minutes in the morning.\",\"I talked to Nora, Hazel, Claire, Piper for 33 minutes in the morning.\"\n42696,2022/08/21,\"I spent 30 talking to Layla, Piper, Kinsley, Piper on various topics in the late afternoon.\",\"I spent 30 talking to Layla, Piper, Kinsley, Piper on various topics in the late afternoon.\"\n42697,2022/08/21,\"I talked to Piper, Piper, Lydia for 55 minutes in the morning.\",\"I talked to Piper, Piper, Lydia for 55 minutes in the morning.\"\n42698,2022/08/21,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n42699,2022/08/21,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n42700,2022/08/22,I spent time meditation on 2022/08/22 with Avery.,I spent time meditation on 2022/08/22 with Avery.\n42701,2022/08/22,I did weight lifting on 2022/08/22.,I did weight lifting on 2022/08/22.\n42702,2022/08/22,\"I had breakfast with Kinsley, Olivia, Piper, Layla, Avery, Piper, Eva, Nora, Hazel, Claire, Rylee, Lydia. I ate toast and cheese.\",\"I had breakfast with Kinsley, Olivia, Piper, Layla, Avery, Piper, Eva, Nora, Hazel, Claire, Rylee, Lydia. I ate toast and cheese.\"\n42703,2022/08/22,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n42704,2022/08/22,I ate sandwich for dinner.,I ate sandwich for dinner.\n42705,2022/08/22,I talked to Layla for 6 minutes late in the evening.,I talked to Layla for 6 minutes late in the evening.\n42706,2022/08/22,\"I talked to Olivia, Nora, Lydia for 17 minutes in the late afternoon.\",\"I talked to Olivia, Nora, Lydia for 17 minutes in the late afternoon.\"\n42707,2022/08/22,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n42708,2022/08/22,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n42709,2022/08/23,I did weight lifting on 2022/08/23.,I did weight lifting on 2022/08/23.\n42710,2022/08/23,\"I had breakfast with Layla, Avery, Lydia, Hazel, Rylee, Piper, Nora, Nevaeh, Olivia. I ate oatmeal.\",\"I had breakfast with Layla, Avery, Lydia, Hazel, Rylee, Piper, Nora, Nevaeh, Olivia. I ate oatmeal.\"\n42711,2022/08/23,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n42712,2022/08/23,I ate pasta for dinner.,I ate pasta for dinner.\n42713,2022/08/23,\"I talked to Nora, Nevaeh for 46 minutes in the early afternoon.\",\"I talked to Nora, Nevaeh for 46 minutes in the early afternoon.\"\n42714,2022/08/23,\"I talked to Rylee, Kinsley, Piper for 10 minutes in the morning.\",\"I talked to Rylee, Kinsley, Piper for 10 minutes in the morning.\"\n42715,2022/08/23,\"I spent 22 talking to Rylee, Piper on various topics during lunch hours.\",\"I spent 22 talking to Rylee, Piper on various topics during lunch hours.\"\n42716,2022/08/23,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n42717,2022/08/23,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n42718,2022/08/24,I really enjoyed working out on 2022/08/24,I really enjoyed working out on 2022/08/24\n42719,2022/08/24,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n42720,2022/08/24,I ate sushi for lunch.,I ate sushi for lunch.\n42721,2022/08/24,\"I had tacos for dinner with Avery, Benjamin, Willow\",\"I had tacos for dinner with Avery, Benjamin, Willow\"\n42722,2022/08/24,\"I talked to Nevaeh, Lydia for 13 minutes late in the evening.\",\"I talked to Nevaeh, Lydia for 13 minutes late in the evening.\"\n42723,2022/08/24,\"I spent 25 talking to Avery, Nevaeh, Piper on various topics during lunch hours.\",\"I spent 25 talking to Avery, Nevaeh, Piper on various topics during lunch hours.\"\n42724,2022/08/24,\"I spent 35 talking to Rylee, Piper, Olivia, Nora on various topics in the early evening.\",\"I spent 35 talking to Rylee, Piper, Olivia, Nora on various topics in the early evening.\"\n42725,2022/08/24,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n42726,2022/08/24,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n42727,2022/08/25,I did swimming on 2022/08/25.,I did swimming on 2022/08/25.\n42728,2022/08/25,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n42729,2022/08/25,I had chinese food for lunch with Kayden,I had chinese food for lunch with Kayden\n42730,2022/08/25,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n42731,2022/08/25,I spent 23 talking to Layla on various topics late in the evening.,I spent 23 talking to Layla on various topics late in the evening.\n42732,2022/08/25,\"I talked to Piper, Claire, Kinsley, Nora for 52 minutes in the late afternoon.\",\"I talked to Piper, Claire, Kinsley, Nora for 52 minutes in the late afternoon.\"\n42733,2022/08/25,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n42734,2022/08/25,I watched a documentary for 36 minutes on TV today.,I watched a documentary for 36 minutes on TV today.\n42735,2022/08/26,I did running on 2022/08/26.,I did running on 2022/08/26.\n42736,2022/08/26,\"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate eggs, sausages, and bread.\"\n42737,2022/08/26,\"I had lunch with Andrew, Carter, Kayden, Emily. I ate steak.\",\"I had lunch with Andrew, Carter, Kayden, Emily. I ate steak.\"\n42738,2022/08/26,I ate a burger for dinner.,I ate a burger for dinner.\n42739,2022/08/26,I talked to Claire for 19 minutes late in the evening.,I talked to Claire for 19 minutes late in the evening.\n42740,2022/08/26,\"I talked to Eva, Lydia, Piper for 53 minutes in the morning.\",\"I talked to Eva, Lydia, Piper for 53 minutes in the morning.\"\n42741,2022/08/26,\"I spent 7 talking to Claire, Avery on various topics during lunch hours.\",\"I spent 7 talking to Claire, Avery on various topics during lunch hours.\"\n42742,2022/08/26,\"I talked to Lydia, Rylee for 32 minutes in the early afternoon.\",\"I talked to Lydia, Rylee for 32 minutes in the early afternoon.\"\n42743,2022/08/26,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n42744,2022/08/26,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n42745,2022/08/27,I did running on 2022/08/27.,I did running on 2022/08/27.\n42746,2022/08/27,\"I had eggs, sausages, and bread for breakfast with Lydia, Avery, Hazel, Eva, Piper, Nevaeh, Claire, Piper\",\"I had eggs, sausages, and bread for breakfast with Lydia, Avery, Hazel, Eva, Piper, Nevaeh, Claire, Piper\"\n42747,2022/08/27,I prepare a burger for lunch.,I prepare a burger for lunch.\n42748,2022/08/27,I ate sandwich for dinner.,I ate sandwich for dinner.\n42749,2022/08/27,\"I talked to Nevaeh, Claire, Lydia, Olivia for 45 minutes late in the evening.\",\"I talked to Nevaeh, Claire, Lydia, Olivia for 45 minutes late in the evening.\"\n42750,2022/08/27,\"I spent 44 talking to Kinsley, Avery, Piper on various topics during lunch hours.\",\"I spent 44 talking to Kinsley, Avery, Piper on various topics during lunch hours.\"\n42751,2022/08/27,\"I talked to Piper, Claire for 33 minutes in the early evening.\",\"I talked to Piper, Claire for 33 minutes in the early evening.\"\n42752,2022/08/27,\"I spent 7 talking to Piper, Avery, Olivia on various topics in the late afternoon.\",\"I spent 7 talking to Piper, Avery, Olivia on various topics in the late afternoon.\"\n42753,2022/08/27,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n42754,2022/08/27,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n42755,2022/08/28,I did biking on 2022/08/28.,I did biking on 2022/08/28.\n42756,2022/08/28,\"I had cereals for breakfast with Rylee, Avery, Layla, Claire, Nevaeh, Piper, Piper, Kinsley, Hazel, Olivia, Nora\",\"I had cereals for breakfast with Rylee, Avery, Layla, Claire, Nevaeh, Piper, Piper, Kinsley, Hazel, Olivia, Nora\"\n42757,2022/08/28,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n42758,2022/08/28,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n42759,2022/08/28,\"I spent 38 talking to Kinsley, Hazel, Piper on various topics in the early afternoon.\",\"I spent 38 talking to Kinsley, Hazel, Piper on various topics in the early afternoon.\"\n42760,2022/08/28,\"I spent 50 talking to Piper, Eva, Rylee, Lydia on various topics late in the evening.\",\"I spent 50 talking to Piper, Eva, Rylee, Lydia on various topics late in the evening.\"\n42761,2022/08/28,\"I spent 34 talking to Hazel, Nora, Piper, Layla on various topics in the late afternoon.\",\"I spent 34 talking to Hazel, Nora, Piper, Layla on various topics in the late afternoon.\"\n42762,2022/08/28,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n42763,2022/08/28,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n42764,2022/08/29,\"On 2022/08/29, I took Nathan on a date to a coffee Shop\",\"On 2022/08/29, I took Nathan on a date to a coffee Shop\"\n42765,2022/08/29,\"I went grocery shopping with Carter, Kayden, Andrew, Emily. I bought some pears, mangos, raspberries, orange juice, sports drinks, mango juice, and shampoo, toilet paper\",\"I went grocery shopping with Carter, Kayden, Andrew, Emily. I bought some pears, mangos, raspberries, orange juice, sports drinks, mango juice, and shampoo, toilet paper\"\n42766,2022/08/29,I did HIIT on 2022/08/29.,I did HIIT on 2022/08/29.\n42767,2022/08/29,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n42768,2022/08/29,I ate steak for lunch.,I ate steak for lunch.\n42769,2022/08/29,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n42770,2022/08/29,I spent 6 talking to Layla on various topics during lunch hours.,I spent 6 talking to Layla on various topics during lunch hours.\n42771,2022/08/29,I talked to Avery for 43 minutes in the late afternoon.,I talked to Avery for 43 minutes in the late afternoon.\n42772,2022/08/29,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n42773,2022/08/29,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n42774,2022/08/30,\"On 2022/08/30, I took Richard on a date to a park\",\"On 2022/08/30, I took Richard on a date to a park\"\n42775,2022/08/30,I spent some time working out on 2022/08/30.,I spent some time working out on 2022/08/30.\n42776,2022/08/30,I did HIIT on 2022/08/30.,I did HIIT on 2022/08/30.\n42777,2022/08/30,I had toast and cheese for breakfast with Jackson,I had toast and cheese for breakfast with Jackson\n42778,2022/08/30,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n42779,2022/08/30,I ate sandwich for dinner.,I ate sandwich for dinner.\n42780,2022/08/30,I spent 53 talking to Piper on various topics in the early evening.,I spent 53 talking to Piper on various topics in the early evening.\n42781,2022/08/30,\"I talked to Olivia, Layla for 34 minutes in the late afternoon.\",\"I talked to Olivia, Layla for 34 minutes in the late afternoon.\"\n42782,2022/08/30,\"I spent 5 talking to Olivia, Nevaeh, Layla, Avery on various topics in the early afternoon.\",\"I spent 5 talking to Olivia, Nevaeh, Layla, Avery on various topics in the early afternoon.\"\n42783,2022/08/30,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n42784,2022/08/30,I spent 40 minutes watching a movie on TV today.,I spent 40 minutes watching a movie on TV today.\n42785,2022/08/31,I did swimming on 2022/08/31.,I did swimming on 2022/08/31.\n42786,2022/08/31,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n42787,2022/08/31,I ate steak for lunch.,I ate steak for lunch.\n42788,2022/08/31,\"I had dinner with Piper, Rylee, Layla, Piper, Kinsley, Claire, Nevaeh, Lydia, Olivia. I ate a burger.\",\"I had dinner with Piper, Rylee, Layla, Piper, Kinsley, Claire, Nevaeh, Lydia, Olivia. I ate a burger.\"\n42789,2022/08/31,\"I spent 33 talking to Lydia, Rylee, Layla, Eva on various topics in the late afternoon.\",\"I spent 33 talking to Lydia, Rylee, Layla, Eva on various topics in the late afternoon.\"\n42790,2022/08/31,\"I talked to Lydia, Avery for 48 minutes in the morning.\",\"I talked to Lydia, Avery for 48 minutes in the morning.\"\n42791,2022/08/31,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n42792,2022/08/31,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n42793,2022/09/01,I did running on 2022/09/01.,I did running on 2022/09/01.\n42794,2022/09/01,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n42795,2022/09/01,\"I had lunch with Avery, Jackson, Willow. I ate a burger.\",\"I had lunch with Avery, Jackson, Willow. I ate a burger.\"\n42796,2022/09/01,I ate chinese food for dinner.,I ate chinese food for dinner.\n42797,2022/09/01,I spent 17 talking to Lydia on various topics in the morning.,I spent 17 talking to Lydia on various topics in the morning.\n42798,2022/09/01,\"I spent 29 talking to Kinsley, Rylee, Nevaeh, Piper on various topics late in the evening.\",\"I spent 29 talking to Kinsley, Rylee, Nevaeh, Piper on various topics late in the evening.\"\n42799,2022/09/01,\"I spent 21 talking to Rylee, Nora, Layla on various topics late in the evening.\",\"I spent 21 talking to Rylee, Nora, Layla on various topics late in the evening.\"\n42800,2022/09/01,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n42801,2022/09/01,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n42802,2022/09/02,\"I bought some apples, orange juice, facial wash, toothpaste online.\",\"I bought some apples, orange juice, facial wash, toothpaste online.\"\n42803,2022/09/02,I did running on 2022/09/02.,I did running on 2022/09/02.\n42804,2022/09/02,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n42805,2022/09/02,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n42806,2022/09/02,I had chinese food for dinner with Avery,I had chinese food for dinner with Avery\n42807,2022/09/02,\"I talked to Olivia, Kinsley for 54 minutes during lunch hours.\",\"I talked to Olivia, Kinsley for 54 minutes during lunch hours.\"\n42808,2022/09/02,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n42809,2022/09/02,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n42810,2022/09/03,I really enjoyed learning a language on 2022/09/03,I really enjoyed learning a language on 2022/09/03\n42811,2022/09/03,\"I bought some mangos, watermelons, peaches, raspberries, guava juice, mango juice, shampoo online.\",\"I bought some mangos, watermelons, peaches, raspberries, guava juice, mango juice, shampoo online.\"\n42812,2022/09/03,I did HIIT on 2022/09/03.,I did HIIT on 2022/09/03.\n42813,2022/09/03,\"I had breakfast with Lydia, Layla, Hazel, Avery, Nevaeh, Claire, Piper, Olivia, Nora. I ate cereals.\",\"I had breakfast with Lydia, Layla, Hazel, Avery, Nevaeh, Claire, Piper, Olivia, Nora. I ate cereals.\"\n42814,2022/09/03,I ate pasta for lunch.,I ate pasta for lunch.\n42815,2022/09/03,I prepare sushi for dinner.,I prepare sushi for dinner.\n42816,2022/09/03,\"I spent 42 talking to Piper, Eva, Layla, Avery on various topics in the early evening.\",\"I spent 42 talking to Piper, Eva, Layla, Avery on various topics in the early evening.\"\n42817,2022/09/03,\"I talked to Lydia, Rylee, Olivia for 45 minutes during lunch hours.\",\"I talked to Lydia, Rylee, Olivia for 45 minutes during lunch hours.\"\n42818,2022/09/03,I talked to Piper for 29 minutes late in the evening.,I talked to Piper for 29 minutes late in the evening.\n42819,2022/09/03,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n42820,2022/09/03,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n42821,2022/09/04,\"I was cooking traditional meat loaf, chow mein, hungarian chicken paprikash on 2022/09/04 with Olivia, Layla, Nevaeh at my place\",\"I was cooking traditional meat loaf, chow mein, hungarian chicken paprikash on 2022/09/04 with Olivia, Layla, Nevaeh at my place\"\n42822,2022/09/04,I did swimming on 2022/09/04.,I did swimming on 2022/09/04.\n42823,2022/09/04,I ate cereals for breakfast.,I ate cereals for breakfast.\n42824,2022/09/04,I had lunch. I ate steak.,I had lunch. I ate steak.\n42825,2022/09/04,\"I had dinner with Avery, Piper, Claire, Layla. I ate chinese food.\",\"I had dinner with Avery, Piper, Claire, Layla. I ate chinese food.\"\n42826,2022/09/04,\"I talked to Claire, Nora, Avery for 7 minutes in the morning.\",\"I talked to Claire, Nora, Avery for 7 minutes in the morning.\"\n42827,2022/09/04,I spent 20 talking to Piper on various topics in the morning.,I spent 20 talking to Piper on various topics in the morning.\n42828,2022/09/04,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n42829,2022/09/04,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n42830,2022/09/05,I did swimming on 2022/09/05.,I did swimming on 2022/09/05.\n42831,2022/09/05,\"I had breakfast with Emily, Kayden, Carter. I ate pancakes.\",\"I had breakfast with Emily, Kayden, Carter. I ate pancakes.\"\n42832,2022/09/05,I had lunch. I ate steak.,I had lunch. I ate steak.\n42833,2022/09/05,\"I had tacos for dinner with Carter, Kayden\",\"I had tacos for dinner with Carter, Kayden\"\n42834,2022/09/05,\"I talked to Piper, Olivia, Nora, Kinsley for 33 minutes in the early evening.\",\"I talked to Piper, Olivia, Nora, Kinsley for 33 minutes in the early evening.\"\n42835,2022/09/05,I spent 24 talking to Rylee on various topics during lunch hours.,I spent 24 talking to Rylee on various topics during lunch hours.\n42836,2022/09/05,I spent 13 talking to Hazel on various topics in the late afternoon.,I spent 13 talking to Hazel on various topics in the late afternoon.\n42837,2022/09/05,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n42838,2022/09/05,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n42839,2022/09/06,\"On 2022/09/06, I took Sofia on a date to a park\",\"On 2022/09/06, I took Sofia on a date to a park\"\n42840,2022/09/06,I did weight lifting on 2022/09/06.,I did weight lifting on 2022/09/06.\n42841,2022/09/06,I had cereals for breakfast with Jackson,I had cereals for breakfast with Jackson\n42842,2022/09/06,I prepare indian food for lunch.,I prepare indian food for lunch.\n42843,2022/09/06,I ate a burger for dinner.,I ate a burger for dinner.\n42844,2022/09/06,\"I spent 14 talking to Kinsley, Nevaeh, Olivia, Claire on various topics during lunch hours.\",\"I spent 14 talking to Kinsley, Nevaeh, Olivia, Claire on various topics during lunch hours.\"\n42845,2022/09/06,\"I talked to Eva, Rylee, Claire for 41 minutes in the morning.\",\"I talked to Eva, Rylee, Claire for 41 minutes in the morning.\"\n42846,2022/09/06,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n42847,2022/09/06,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n42848,2022/09/07,\"I was baking pistachio oat squares, cranberry apple danish, peanut butter cookies on 2022/09/07 with Claire at my place\",\"I was baking pistachio oat squares, cranberry apple danish, peanut butter cookies on 2022/09/07 with Claire at my place\"\n42849,2022/09/07,\"I went grocery shopping. I bought some blueberries, tea, soda, apple juice, and mouth wash, paper towel, conditioner, toothpaste\",\"I went grocery shopping. I bought some blueberries, tea, soda, apple juice, and mouth wash, paper towel, conditioner, toothpaste\"\n42850,2022/09/07,I did biking on 2022/09/07.,I did biking on 2022/09/07.\n42851,2022/09/07,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n42852,2022/09/07,\"I had lunch with Claire, Kinsley, Piper, Nevaeh, Hazel, Nora, Layla, Lydia, Avery, Piper, Rylee, Olivia, Eva. I ate sushi.\",\"I had lunch with Claire, Kinsley, Piper, Nevaeh, Hazel, Nora, Layla, Lydia, Avery, Piper, Rylee, Olivia, Eva. I ate sushi.\"\n42853,2022/09/07,I prepare pasta for dinner.,I prepare pasta for dinner.\n42854,2022/09/07,\"I spent 35 talking to Olivia, Avery, Kinsley on various topics late in the evening.\",\"I spent 35 talking to Olivia, Avery, Kinsley on various topics late in the evening.\"\n42855,2022/09/07,\"I talked to Lydia, Nevaeh, Nora for 33 minutes in the early evening.\",\"I talked to Lydia, Nevaeh, Nora for 33 minutes in the early evening.\"\n42856,2022/09/07,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n42857,2022/09/07,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n42858,2022/09/08,I did hiking on 2022/09/08.,I did hiking on 2022/09/08.\n42859,2022/09/08,\"I had toast and cheese for breakfast with Eva, Olivia, Lydia, Layla, Nevaeh, Kinsley, Piper, Hazel, Avery, Claire, Rylee\",\"I had toast and cheese for breakfast with Eva, Olivia, Lydia, Layla, Nevaeh, Kinsley, Piper, Hazel, Avery, Claire, Rylee\"\n42860,2022/09/08,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n42861,2022/09/08,I ate sushi for dinner.,I ate sushi for dinner.\n42862,2022/09/08,\"I spent 15 talking to Olivia, Nevaeh on various topics in the early evening.\",\"I spent 15 talking to Olivia, Nevaeh on various topics in the early evening.\"\n42863,2022/09/08,\"I spent 24 talking to Eva, Piper, Claire, Piper on various topics in the early evening.\",\"I spent 24 talking to Eva, Piper, Claire, Piper on various topics in the early evening.\"\n42864,2022/09/08,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n42865,2022/09/08,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n42866,2022/09/09,\"I had breakfast with Lydia, Eva, Nevaeh, Claire, Nora, Olivia, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Lydia, Eva, Nevaeh, Claire, Nora, Olivia, Piper. I ate eggs, sausages, and bread.\"\n42867,2022/09/09,\"I had lunch with Piper, Nora, Nevaeh, Avery, Eva, Claire, Olivia. I ate fish and chips.\",\"I had lunch with Piper, Nora, Nevaeh, Avery, Eva, Claire, Olivia. I ate fish and chips.\"\n42868,2022/09/09,I had dinner with Willow. I ate sushi.,I had dinner with Willow. I ate sushi.\n42869,2022/09/09,I talked to Piper for 44 minutes in the early afternoon.,I talked to Piper for 44 minutes in the early afternoon.\n42870,2022/09/09,\"I talked to Nora, Lydia, Eva, Rylee for 19 minutes in the early afternoon.\",\"I talked to Nora, Lydia, Eva, Rylee for 19 minutes in the early afternoon.\"\n42871,2022/09/09,\"I talked to Hazel, Nevaeh, Nora, Kinsley for 26 minutes in the early evening.\",\"I talked to Hazel, Nevaeh, Nora, Kinsley for 26 minutes in the early evening.\"\n42872,2022/09/09,\"I talked to Eva, Nevaeh, Hazel, Claire for 17 minutes in the late afternoon.\",\"I talked to Eva, Nevaeh, Hazel, Claire for 17 minutes in the late afternoon.\"\n42873,2022/09/09,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n42874,2022/09/09,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n42875,2022/09/10,I went on a date with Emilia on 2022/09/10 at a park,I went on a date with Emilia on 2022/09/10 at a park\n42876,2022/09/10,I did HIIT on 2022/09/10.,I did HIIT on 2022/09/10.\n42877,2022/09/10,\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate oatmeal.\",\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate oatmeal.\"\n42878,2022/09/10,\"I had lunch with Rylee, Avery, Nora, Piper, Claire, Eva, Hazel, Nevaeh, Layla, Piper, Olivia, Lydia. I ate steak.\",\"I had lunch with Rylee, Avery, Nora, Piper, Claire, Eva, Hazel, Nevaeh, Layla, Piper, Olivia, Lydia. I ate steak.\"\n42879,2022/09/10,I prepare sushi for dinner.,I prepare sushi for dinner.\n42880,2022/09/10,\"I spent 38 talking to Olivia, Hazel, Avery on various topics in the morning.\",\"I spent 38 talking to Olivia, Hazel, Avery on various topics in the morning.\"\n42881,2022/09/10,\"I talked to Avery, Nora, Olivia, Piper for 44 minutes in the early afternoon.\",\"I talked to Avery, Nora, Olivia, Piper for 44 minutes in the early afternoon.\"\n42882,2022/09/10,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n42883,2022/09/10,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n42884,2022/09/11,I did weight lifting on 2022/09/11.,I did weight lifting on 2022/09/11.\n42885,2022/09/11,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n42886,2022/09/11,I prepare sushi for lunch.,I prepare sushi for lunch.\n42887,2022/09/11,I prepare sushi for dinner.,I prepare sushi for dinner.\n42888,2022/09/11,\"I spent 43 talking to Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 43 talking to Nevaeh, Piper on various topics in the early afternoon.\"\n42889,2022/09/11,\"I talked to Olivia, Piper for 14 minutes in the early afternoon.\",\"I talked to Olivia, Piper for 14 minutes in the early afternoon.\"\n42890,2022/09/11,\"I spent 14 talking to Claire, Kinsley on various topics in the late afternoon.\",\"I spent 14 talking to Claire, Kinsley on various topics in the late afternoon.\"\n42891,2022/09/11,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n42892,2022/09/11,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n42893,2022/09/12,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n42894,2022/09/12,\"I had fish and chips for lunch with Eva, Hazel, Nora, Kinsley, Avery\",\"I had fish and chips for lunch with Eva, Hazel, Nora, Kinsley, Avery\"\n42895,2022/09/12,I prepare indian food for dinner.,I prepare indian food for dinner.\n42896,2022/09/12,I spent 13 talking to Layla on various topics late in the evening.,I spent 13 talking to Layla on various topics late in the evening.\n42897,2022/09/12,\"I talked to Rylee, Lydia, Piper, Avery for 6 minutes during lunch hours.\",\"I talked to Rylee, Lydia, Piper, Avery for 6 minutes during lunch hours.\"\n42898,2022/09/12,\"I talked to Lydia, Nora for 32 minutes during lunch hours.\",\"I talked to Lydia, Nora for 32 minutes during lunch hours.\"\n42899,2022/09/12,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n42900,2022/09/12,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n42901,2022/09/13,\"I went grocery shopping. I bought some apricots, peaches, coffee, and paper towel, toothpaste, facial wash\",\"I went grocery shopping. I bought some apricots, peaches, coffee, and paper towel, toothpaste, facial wash\"\n42902,2022/09/13,I did running on 2022/09/13.,I did running on 2022/09/13.\n42903,2022/09/13,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n42904,2022/09/13,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n42905,2022/09/13,\"I had dinner with Kayden, Andrew. I ate fish and chips.\",\"I had dinner with Kayden, Andrew. I ate fish and chips.\"\n42906,2022/09/13,\"I talked to Nora, Rylee for 28 minutes late in the evening.\",\"I talked to Nora, Rylee for 28 minutes late in the evening.\"\n42907,2022/09/13,I talked to Nora for 37 minutes in the morning.,I talked to Nora for 37 minutes in the morning.\n42908,2022/09/13,\"I talked to Layla, Lydia for 20 minutes in the late afternoon.\",\"I talked to Layla, Lydia for 20 minutes in the late afternoon.\"\n42909,2022/09/13,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n42910,2022/09/13,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n42911,2022/09/14,\"I was baking chrissy teigen’s 3-ingredient chocolate mousse, cranberry apple danish, cinnamon sheet cake with cider frosting on 2022/09/14 with Layla, Nevaeh at my place\",\"I was baking chrissy teigen’s 3-ingredient chocolate mousse, cranberry apple danish, cinnamon sheet cake with cider frosting on 2022/09/14 with Layla, Nevaeh at my place\"\n42912,2022/09/14,I did biking on 2022/09/14.,I did biking on 2022/09/14.\n42913,2022/09/14,I ate cereals for breakfast.,I ate cereals for breakfast.\n42914,2022/09/14,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n42915,2022/09/14,I ate sushi for dinner.,I ate sushi for dinner.\n42916,2022/09/14,\"I talked to Kinsley, Olivia, Hazel, Nevaeh for 14 minutes in the early afternoon.\",\"I talked to Kinsley, Olivia, Hazel, Nevaeh for 14 minutes in the early afternoon.\"\n42917,2022/09/14,\"I talked to Eva, Rylee for 45 minutes in the morning.\",\"I talked to Eva, Rylee for 45 minutes in the morning.\"\n42918,2022/09/14,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n42919,2022/09/14,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n42920,2022/09/15,I did HIIT on 2022/09/15.,I did HIIT on 2022/09/15.\n42921,2022/09/15,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n42922,2022/09/15,\"I had a burger for lunch with Carter, Kayden, Emily, Andrew\",\"I had a burger for lunch with Carter, Kayden, Emily, Andrew\"\n42923,2022/09/15,\"I had steak for dinner with Carter, Andrew\",\"I had steak for dinner with Carter, Andrew\"\n42924,2022/09/15,\"I spent 47 talking to Eva, Claire on various topics in the early afternoon.\",\"I spent 47 talking to Eva, Claire on various topics in the early afternoon.\"\n42925,2022/09/15,\"I talked to Eva, Hazel, Claire for 23 minutes in the late afternoon.\",\"I talked to Eva, Hazel, Claire for 23 minutes in the late afternoon.\"\n42926,2022/09/15,\"I talked to Kinsley, Eva, Layla for 52 minutes in the early evening.\",\"I talked to Kinsley, Eva, Layla for 52 minutes in the early evening.\"\n42927,2022/09/15,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n42928,2022/09/15,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n42929,2022/09/16,Emily for his/her  and I went for an annual physical checkup at the hospital on 2022/09/16.,Emily for his/her  and I went for an annual physical checkup at the hospital on 2022/09/16.\n42930,2022/09/16,I did weight lifting on 2022/09/16.,I did weight lifting on 2022/09/16.\n42931,2022/09/16,I had oatmeal for breakfast with Andrew,I had oatmeal for breakfast with Andrew\n42932,2022/09/16,\"I had lunch with Willow, Benjamin, Jackson, Avery. I ate a burger.\",\"I had lunch with Willow, Benjamin, Jackson, Avery. I ate a burger.\"\n42933,2022/09/16,\"I had pasta for dinner with Kayden, Emily, Carter\",\"I had pasta for dinner with Kayden, Emily, Carter\"\n42934,2022/09/16,\"I talked to Claire, Rylee, Piper, Nevaeh for 34 minutes in the late afternoon.\",\"I talked to Claire, Rylee, Piper, Nevaeh for 34 minutes in the late afternoon.\"\n42935,2022/09/16,\"I spent 16 talking to Avery, Eva, Hazel, Claire on various topics in the early evening.\",\"I spent 16 talking to Avery, Eva, Hazel, Claire on various topics in the early evening.\"\n42936,2022/09/16,\"I spent 47 talking to Piper, Olivia, Kinsley, Lydia on various topics in the morning.\",\"I spent 47 talking to Piper, Olivia, Kinsley, Lydia on various topics in the morning.\"\n42937,2022/09/16,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n42938,2022/09/16,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n42939,2022/09/17,I did weight lifting on 2022/09/17.,I did weight lifting on 2022/09/17.\n42940,2022/09/17,I ate cereals for breakfast.,I ate cereals for breakfast.\n42941,2022/09/17,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n42942,2022/09/17,\"I had dinner with Carter, Emily, Andrew, Kayden. I ate fish and chips.\",\"I had dinner with Carter, Emily, Andrew, Kayden. I ate fish and chips.\"\n42943,2022/09/17,I spent 15 talking to Lydia on various topics late in the evening.,I spent 15 talking to Lydia on various topics late in the evening.\n42944,2022/09/17,I spent 45 talking to Rylee on various topics late in the evening.,I spent 45 talking to Rylee on various topics late in the evening.\n42945,2022/09/17,\"I spent 25 talking to Avery, Kinsley, Piper, Layla on various topics in the early afternoon.\",\"I spent 25 talking to Avery, Kinsley, Piper, Layla on various topics in the early afternoon.\"\n42946,2022/09/17,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n42947,2022/09/17,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n42948,2022/09/18,\"On 2022/09/18, I took Ezra on a date to a coffee Shop\",\"On 2022/09/18, I took Ezra on a date to a coffee Shop\"\n42949,2022/09/18,I did swimming on 2022/09/18.,I did swimming on 2022/09/18.\n42950,2022/09/18,I ate cereals for breakfast.,I ate cereals for breakfast.\n42951,2022/09/18,I prepare indian food for lunch.,I prepare indian food for lunch.\n42952,2022/09/18,\"I had a burger for dinner with Kayden, Carter, Andrew\",\"I had a burger for dinner with Kayden, Carter, Andrew\"\n42953,2022/09/18,\"I talked to Olivia, Claire, Eva, Layla for 37 minutes in the late afternoon.\",\"I talked to Olivia, Claire, Eva, Layla for 37 minutes in the late afternoon.\"\n42954,2022/09/18,\"I talked to Claire, Rylee, Lydia for 5 minutes in the late afternoon.\",\"I talked to Claire, Rylee, Lydia for 5 minutes in the late afternoon.\"\n42955,2022/09/18,\"I talked to Olivia, Kinsley for 52 minutes in the early afternoon.\",\"I talked to Olivia, Kinsley for 52 minutes in the early afternoon.\"\n42956,2022/09/18,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n42957,2022/09/18,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n42958,2022/09/19,\"I bought some pears, peaches, mangos, tea, chocolate milk, toilet paper, paper towel from the grocery store. I saw Kayden, Andrew, Emily at the grocery store.\",\"I bought some pears, peaches, mangos, tea, chocolate milk, toilet paper, paper towel from the grocery store. I saw Kayden, Andrew, Emily at the grocery store.\"\n42959,2022/09/19,I did swimming on 2022/09/19.,I did swimming on 2022/09/19.\n42960,2022/09/19,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n42961,2022/09/19,I had lunch. I ate steak.,I had lunch. I ate steak.\n42962,2022/09/19,I ate sushi for dinner.,I ate sushi for dinner.\n42963,2022/09/19,\"I spent 41 talking to Layla, Nevaeh, Olivia, Lydia on various topics in the early evening.\",\"I spent 41 talking to Layla, Nevaeh, Olivia, Lydia on various topics in the early evening.\"\n42964,2022/09/19,\"I spent 44 talking to Eva, Piper on various topics during lunch hours.\",\"I spent 44 talking to Eva, Piper on various topics during lunch hours.\"\n42965,2022/09/19,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n42966,2022/09/19,I spent 33 minutes watching a tv series on TV today.,I spent 33 minutes watching a tv series on TV today.\n42967,2022/09/20,I did biking on 2022/09/20.,I did biking on 2022/09/20.\n42968,2022/09/20,I had breakfast with Andrew. I ate cereals.,I had breakfast with Andrew. I ate cereals.\n42969,2022/09/20,I had lunch. I ate steak.,I had lunch. I ate steak.\n42970,2022/09/20,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n42971,2022/09/20,\"I talked to Kinsley, Hazel, Nevaeh, Avery for 47 minutes in the early afternoon.\",\"I talked to Kinsley, Hazel, Nevaeh, Avery for 47 minutes in the early afternoon.\"\n42972,2022/09/20,I spent 39 talking to Lydia on various topics in the late afternoon.,I spent 39 talking to Lydia on various topics in the late afternoon.\n42973,2022/09/20,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n42974,2022/09/20,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n42975,2022/09/21,I went on a date with Adrian on 2022/09/21 at a restaurant,I went on a date with Adrian on 2022/09/21 at a restaurant\n42976,2022/09/21,\"I bought some watermelons, pears, guava, milk, mineral water, mango juice, mouth wash, body lotion from the grocery store. I saw Piper, Hazel, Piper, Kinsley, Nevaeh at the grocery store.\",\"I bought some watermelons, pears, guava, milk, mineral water, mango juice, mouth wash, body lotion from the grocery store. I saw Piper, Hazel, Piper, Kinsley, Nevaeh at the grocery store.\"\n42977,2022/09/21,I did HIIT on 2022/09/21.,I did HIIT on 2022/09/21.\n42978,2022/09/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n42979,2022/09/21,\"I had tacos for lunch with Kayden, Andrew, Emily\",\"I had tacos for lunch with Kayden, Andrew, Emily\"\n42980,2022/09/21,\"I had dinner with Andrew, Kayden, Emily, Carter. I ate tacos.\",\"I had dinner with Andrew, Kayden, Emily, Carter. I ate tacos.\"\n42981,2022/09/21,\"I talked to Avery, Piper, Piper for 8 minutes in the late afternoon.\",\"I talked to Avery, Piper, Piper for 8 minutes in the late afternoon.\"\n42982,2022/09/21,\"I talked to Nora, Nevaeh for 9 minutes in the early evening.\",\"I talked to Nora, Nevaeh for 9 minutes in the early evening.\"\n42983,2022/09/21,\"I spent 13 talking to Hazel, Piper, Kinsley, Lydia on various topics in the early afternoon.\",\"I spent 13 talking to Hazel, Piper, Kinsley, Lydia on various topics in the early afternoon.\"\n42984,2022/09/21,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n42985,2022/09/21,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n42986,2022/09/22,I did HIIT on 2022/09/22.,I did HIIT on 2022/09/22.\n42987,2022/09/22,\"I had breakfast with Kayden, Carter. I ate toast and cheese.\",\"I had breakfast with Kayden, Carter. I ate toast and cheese.\"\n42988,2022/09/22,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n42989,2022/09/22,\"I had steak for dinner with Andrew, Carter, Emily, Kayden\",\"I had steak for dinner with Andrew, Carter, Emily, Kayden\"\n42990,2022/09/22,\"I spent 50 talking to Piper, Lydia, Nevaeh, Rylee on various topics in the late afternoon.\",\"I spent 50 talking to Piper, Lydia, Nevaeh, Rylee on various topics in the late afternoon.\"\n42991,2022/09/22,\"I talked to Kinsley, Piper for 35 minutes in the late afternoon.\",\"I talked to Kinsley, Piper for 35 minutes in the late afternoon.\"\n42992,2022/09/22,\"I spent 32 talking to Rylee, Layla, Piper on various topics during lunch hours.\",\"I spent 32 talking to Rylee, Layla, Piper on various topics during lunch hours.\"\n42993,2022/09/22,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n42994,2022/09/22,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n42995,2022/09/23,I did hiking on 2022/09/23.,I did hiking on 2022/09/23.\n42996,2022/09/23,\"I had breakfast with Lydia, Rylee, Layla, Avery. I ate cereals.\",\"I had breakfast with Lydia, Rylee, Layla, Avery. I ate cereals.\"\n42997,2022/09/23,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n42998,2022/09/23,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n42999,2022/09/23,\"I spent 21 talking to Lydia, Kinsley on various topics during lunch hours.\",\"I spent 21 talking to Lydia, Kinsley on various topics during lunch hours.\"\n43000,2022/09/23,\"I spent 42 talking to Hazel, Nora, Rylee, Lydia on various topics in the early evening.\",\"I spent 42 talking to Hazel, Nora, Rylee, Lydia on various topics in the early evening.\"\n43001,2022/09/23,I talked to Lydia for 54 minutes in the early evening.,I talked to Lydia for 54 minutes in the early evening.\n43002,2022/09/23,\"I talked to Hazel, Nevaeh, Piper, Nora for 47 minutes in the morning.\",\"I talked to Hazel, Nevaeh, Piper, Nora for 47 minutes in the morning.\"\n43003,2022/09/23,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n43004,2022/09/23,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n43005,2022/09/24,I did biking on 2022/09/24.,I did biking on 2022/09/24.\n43006,2022/09/24,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n43007,2022/09/24,\"I had lunch with Jackson, Avery. I ate a burger.\",\"I had lunch with Jackson, Avery. I ate a burger.\"\n43008,2022/09/24,I had dinner with Carter. I ate steak.,I had dinner with Carter. I ate steak.\n43009,2022/09/24,\"I spent 23 talking to Claire, Eva on various topics in the early evening.\",\"I spent 23 talking to Claire, Eva on various topics in the early evening.\"\n43010,2022/09/24,\"I spent 53 talking to Eva, Layla, Avery on various topics in the early evening.\",\"I spent 53 talking to Eva, Layla, Avery on various topics in the early evening.\"\n43011,2022/09/24,I talked to Rylee for 50 minutes in the early evening.,I talked to Rylee for 50 minutes in the early evening.\n43012,2022/09/24,I spent 51 talking to Nevaeh on various topics in the early evening.,I spent 51 talking to Nevaeh on various topics in the early evening.\n43013,2022/09/24,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n43014,2022/09/24,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n43015,2022/09/25,\"I bought some guava, apricots, orange juice, sports drinks, mango juice, chocolate milk, mouthwash, toothpaste, paper towel, facial wash online.\",\"I bought some guava, apricots, orange juice, sports drinks, mango juice, chocolate milk, mouthwash, toothpaste, paper towel, facial wash online.\"\n43016,2022/09/25,I ate cereals for breakfast.,I ate cereals for breakfast.\n43017,2022/09/25,\"I had indian food for lunch with Carter, Kayden, Andrew, Emily\",\"I had indian food for lunch with Carter, Kayden, Andrew, Emily\"\n43018,2022/09/25,I prepare indian food for dinner.,I prepare indian food for dinner.\n43019,2022/09/25,\"I spent 33 talking to Piper, Rylee, Layla, Nora on various topics in the early evening.\",\"I spent 33 talking to Piper, Rylee, Layla, Nora on various topics in the early evening.\"\n43020,2022/09/25,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n43021,2022/09/25,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n43022,2022/09/26,I did running on 2022/09/26.,I did running on 2022/09/26.\n43023,2022/09/26,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n43024,2022/09/26,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n43025,2022/09/26,\"I had tacos for dinner with Piper, Eva, Rylee, Nora\",\"I had tacos for dinner with Piper, Eva, Rylee, Nora\"\n43026,2022/09/26,\"I talked to Piper, Nora for 34 minutes in the early evening.\",\"I talked to Piper, Nora for 34 minutes in the early evening.\"\n43027,2022/09/26,\"I talked to Nevaeh, Olivia for 27 minutes in the early afternoon.\",\"I talked to Nevaeh, Olivia for 27 minutes in the early afternoon.\"\n43028,2022/09/26,I talked to Olivia for 18 minutes in the early evening.,I talked to Olivia for 18 minutes in the early evening.\n43029,2022/09/26,\"I spent 20 talking to Nora, Layla on various topics late in the evening.\",\"I spent 20 talking to Nora, Layla on various topics late in the evening.\"\n43030,2022/09/26,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n43031,2022/09/26,I watched news for 36 minutes on TV today.,I watched news for 36 minutes on TV today.\n43032,2022/09/27,I did running on 2022/09/27.,I did running on 2022/09/27.\n43033,2022/09/27,\"I had eggs, sausages, and bread for breakfast with Carter, Andrew\",\"I had eggs, sausages, and bread for breakfast with Carter, Andrew\"\n43034,2022/09/27,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n43035,2022/09/27,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n43036,2022/09/27,\"I talked to Claire, Rylee for 12 minutes in the early afternoon.\",\"I talked to Claire, Rylee for 12 minutes in the early afternoon.\"\n43037,2022/09/27,I spent 16 talking to Rylee on various topics in the early afternoon.,I spent 16 talking to Rylee on various topics in the early afternoon.\n43038,2022/09/27,\"I talked to Layla, Eva for 38 minutes late in the evening.\",\"I talked to Layla, Eva for 38 minutes late in the evening.\"\n43039,2022/09/27,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n43040,2022/09/27,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n43041,2022/09/28,I did swimming on 2022/09/28.,I did swimming on 2022/09/28.\n43042,2022/09/28,\"I had breakfast with Lydia, Piper, Avery, Nevaeh, Piper, Nora, Hazel. I ate eggs, sausages, and bread.\",\"I had breakfast with Lydia, Piper, Avery, Nevaeh, Piper, Nora, Hazel. I ate eggs, sausages, and bread.\"\n43043,2022/09/28,\"I had lunch with Benjamin, Willow. I ate a burger.\",\"I had lunch with Benjamin, Willow. I ate a burger.\"\n43044,2022/09/28,I prepare sushi for dinner.,I prepare sushi for dinner.\n43045,2022/09/28,\"I talked to Rylee, Hazel, Nevaeh, Nora for 32 minutes late in the evening.\",\"I talked to Rylee, Hazel, Nevaeh, Nora for 32 minutes late in the evening.\"\n43046,2022/09/28,\"I spent 34 talking to Kinsley, Claire, Eva on various topics during lunch hours.\",\"I spent 34 talking to Kinsley, Claire, Eva on various topics during lunch hours.\"\n43047,2022/09/28,\"I talked to Olivia, Nevaeh for 18 minutes in the early evening.\",\"I talked to Olivia, Nevaeh for 18 minutes in the early evening.\"\n43048,2022/09/28,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n43049,2022/09/28,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n43050,2022/09/29,I did biking on 2022/09/29.,I did biking on 2022/09/29.\n43051,2022/09/29,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n43052,2022/09/29,I ate sandwich for lunch.,I ate sandwich for lunch.\n43053,2022/09/29,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n43054,2022/09/29,\"I talked to Avery, Lydia, Hazel for 36 minutes late in the evening.\",\"I talked to Avery, Lydia, Hazel for 36 minutes late in the evening.\"\n43055,2022/09/29,\"I talked to Piper, Eva for 21 minutes in the early evening.\",\"I talked to Piper, Eva for 21 minutes in the early evening.\"\n43056,2022/09/29,I talked to Nora for 50 minutes in the early evening.,I talked to Nora for 50 minutes in the early evening.\n43057,2022/09/29,\"I talked to Kinsley, Nevaeh, Lydia, Piper for 55 minutes during lunch hours.\",\"I talked to Kinsley, Nevaeh, Lydia, Piper for 55 minutes during lunch hours.\"\n43058,2022/09/29,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n43059,2022/09/29,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n43060,2022/09/30,I did hiking on 2022/09/30.,I did hiking on 2022/09/30.\n43061,2022/09/30,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n43062,2022/09/30,\"I had lunch with Kayden, Carter, Andrew. I ate chinese food.\",\"I had lunch with Kayden, Carter, Andrew. I ate chinese food.\"\n43063,2022/09/30,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n43064,2022/09/30,\"I talked to Hazel, Piper for 34 minutes in the morning.\",\"I talked to Hazel, Piper for 34 minutes in the morning.\"\n43065,2022/09/30,\"I spent 37 talking to Eva, Piper, Lydia, Rylee on various topics in the morning.\",\"I spent 37 talking to Eva, Piper, Lydia, Rylee on various topics in the morning.\"\n43066,2022/09/30,\"I spent 17 talking to Hazel, Piper, Olivia on various topics during lunch hours.\",\"I spent 17 talking to Hazel, Piper, Olivia on various topics during lunch hours.\"\n43067,2022/09/30,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n43068,2022/09/30,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n43069,2022/10/01,I took Kayden for his/her  for an annual physical checkup on 2022/10/01 at the hospital.,I took Kayden for his/her  for an annual physical checkup on 2022/10/01 at the hospital.\n43070,2022/10/01,\"I bought some bananas, oranges, pineapples, orange juice, mineral water, guava juice, toothpaste, conditioner, toilet paper, toothbrush from the grocery store. I saw Andrew, Carter at the grocery store.\",\"I bought some bananas, oranges, pineapples, orange juice, mineral water, guava juice, toothpaste, conditioner, toilet paper, toothbrush from the grocery store. I saw Andrew, Carter at the grocery store.\"\n43071,2022/10/01,I did running on 2022/10/01.,I did running on 2022/10/01.\n43072,2022/10/01,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n43073,2022/10/01,I ate steak for lunch.,I ate steak for lunch.\n43074,2022/10/01,I prepare a burger for dinner.,I prepare a burger for dinner.\n43075,2022/10/01,\"I spent 7 talking to Claire, Piper, Nevaeh on various topics late in the evening.\",\"I spent 7 talking to Claire, Piper, Nevaeh on various topics late in the evening.\"\n43076,2022/10/01,\"I talked to Avery, Lydia, Olivia for 24 minutes late in the evening.\",\"I talked to Avery, Lydia, Olivia for 24 minutes late in the evening.\"\n43077,2022/10/01,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n43078,2022/10/01,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n43079,2022/10/02,I did HIIT on 2022/10/02.,I did HIIT on 2022/10/02.\n43080,2022/10/02,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n43081,2022/10/02,\"I had lunch with Kinsley, Piper, Nora, Olivia, Lydia, Nevaeh, Claire, Piper, Hazel, Avery, Layla. I ate chinese food.\",\"I had lunch with Kinsley, Piper, Nora, Olivia, Lydia, Nevaeh, Claire, Piper, Hazel, Avery, Layla. I ate chinese food.\"\n43082,2022/10/02,I had chinese food for dinner with Claire,I had chinese food for dinner with Claire\n43083,2022/10/02,\"I talked to Claire, Olivia for 19 minutes late in the evening.\",\"I talked to Claire, Olivia for 19 minutes late in the evening.\"\n43084,2022/10/02,I talked to Layla for 48 minutes in the morning.,I talked to Layla for 48 minutes in the morning.\n43085,2022/10/02,\"I spent 43 talking to Lydia, Nora on various topics in the late afternoon.\",\"I spent 43 talking to Lydia, Nora on various topics in the late afternoon.\"\n43086,2022/10/02,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n43087,2022/10/02,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n43088,2022/10/03,I did hiking on 2022/10/03.,I did hiking on 2022/10/03.\n43089,2022/10/03,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n43090,2022/10/03,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n43091,2022/10/03,I had dinner. I ate steak.,I had dinner. I ate steak.\n43092,2022/10/03,I spent 45 talking to Nevaeh on various topics in the late afternoon.,I spent 45 talking to Nevaeh on various topics in the late afternoon.\n43093,2022/10/03,\"I spent 36 talking to Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 36 talking to Nevaeh, Piper on various topics in the early afternoon.\"\n43094,2022/10/03,\"I spent 20 talking to Eva, Nora on various topics in the late afternoon.\",\"I spent 20 talking to Eva, Nora on various topics in the late afternoon.\"\n43095,2022/10/03,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n43096,2022/10/03,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n43097,2022/10/04,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n43098,2022/10/04,I ate tacos for lunch.,I ate tacos for lunch.\n43099,2022/10/04,\"I had dinner with Kinsley, Eva, Hazel, Piper, Avery, Nora, Lydia, Layla, Claire, Olivia. I ate indian food.\",\"I had dinner with Kinsley, Eva, Hazel, Piper, Avery, Nora, Lydia, Layla, Claire, Olivia. I ate indian food.\"\n43100,2022/10/04,\"I talked to Eva, Piper, Kinsley for 51 minutes in the early evening.\",\"I talked to Eva, Piper, Kinsley for 51 minutes in the early evening.\"\n43101,2022/10/04,\"I spent 21 talking to Nora, Avery, Lydia, Olivia on various topics during lunch hours.\",\"I spent 21 talking to Nora, Avery, Lydia, Olivia on various topics during lunch hours.\"\n43102,2022/10/04,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n43103,2022/10/04,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n43104,2022/10/05,\"I entertained Andrew, Kayden, Emily at my place on 2022/10/05 and bake blackberry jam pie-crust straws\",\"I entertained Andrew, Kayden, Emily at my place on 2022/10/05 and bake blackberry jam pie-crust straws\"\n43105,2022/10/05,\"On 2022/10/05, I took Emily on a date to a park\",\"On 2022/10/05, I took Emily on a date to a park\"\n43106,2022/10/05,I did biking on 2022/10/05.,I did biking on 2022/10/05.\n43107,2022/10/05,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n43108,2022/10/05,I prepare steak for lunch.,I prepare steak for lunch.\n43109,2022/10/05,I ate tacos for dinner.,I ate tacos for dinner.\n43110,2022/10/05,I talked to Claire for 26 minutes in the late afternoon.,I talked to Claire for 26 minutes in the late afternoon.\n43111,2022/10/05,\"I spent 53 talking to Claire, Olivia on various topics during lunch hours.\",\"I spent 53 talking to Claire, Olivia on various topics during lunch hours.\"\n43112,2022/10/05,I spent 12 talking to Nora on various topics during lunch hours.,I spent 12 talking to Nora on various topics during lunch hours.\n43113,2022/10/05,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n43114,2022/10/05,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n43115,2022/10/06,\"I went grocery shopping with Benjamin. I bought some cherres, blueberries, oranges, mineral water, sports drinks, and mouth wash, toilet paper\",\"I went grocery shopping with Benjamin. I bought some cherres, blueberries, oranges, mineral water, sports drinks, and mouth wash, toilet paper\"\n43116,2022/10/06,I did weight lifting on 2022/10/06.,I did weight lifting on 2022/10/06.\n43117,2022/10/06,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n43118,2022/10/06,I ate steak for lunch.,I ate steak for lunch.\n43119,2022/10/06,\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate a burger.\",\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate a burger.\"\n43120,2022/10/06,\"I talked to Eva, Lydia for 19 minutes in the late afternoon.\",\"I talked to Eva, Lydia for 19 minutes in the late afternoon.\"\n43121,2022/10/06,\"I spent 52 talking to Nora, Nevaeh, Hazel, Layla on various topics in the late afternoon.\",\"I spent 52 talking to Nora, Nevaeh, Hazel, Layla on various topics in the late afternoon.\"\n43122,2022/10/06,\"I spent 44 talking to Lydia, Nora, Layla, Eva on various topics late in the evening.\",\"I spent 44 talking to Lydia, Nora, Layla, Eva on various topics late in the evening.\"\n43123,2022/10/06,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n43124,2022/10/06,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n43125,2022/10/07,I did swimming on 2022/10/07.,I did swimming on 2022/10/07.\n43126,2022/10/07,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n43127,2022/10/07,I prepare steak for lunch.,I prepare steak for lunch.\n43128,2022/10/07,I ate chinese food for dinner.,I ate chinese food for dinner.\n43129,2022/10/07,\"I spent 7 talking to Olivia, Rylee on various topics during lunch hours.\",\"I spent 7 talking to Olivia, Rylee on various topics during lunch hours.\"\n43130,2022/10/07,I spent 50 talking to Claire on various topics in the early evening.,I spent 50 talking to Claire on various topics in the early evening.\n43131,2022/10/07,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n43132,2022/10/07,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n43133,2022/10/08,\"I went grocery shopping with Eva, Rylee, Layla, Olivia, Piper, Avery, Kinsley, Nevaeh, Lydia, Nora, Hazel, Claire. I bought some mandarins, oranges, cherres, mangos, mineral water, tea, orange juice, and mouthwash\",\"I went grocery shopping with Eva, Rylee, Layla, Olivia, Piper, Avery, Kinsley, Nevaeh, Lydia, Nora, Hazel, Claire. I bought some mandarins, oranges, cherres, mangos, mineral water, tea, orange juice, and mouthwash\"\n43134,2022/10/08,I did running on 2022/10/08.,I did running on 2022/10/08.\n43135,2022/10/08,\"I had peanut-butter-jam for breakfast with Carter, Andrew, Kayden, Emily\",\"I had peanut-butter-jam for breakfast with Carter, Andrew, Kayden, Emily\"\n43136,2022/10/08,I had lunch. I ate steak.,I had lunch. I ate steak.\n43137,2022/10/08,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n43138,2022/10/08,\"I spent 26 talking to Rylee, Eva, Avery on various topics in the late afternoon.\",\"I spent 26 talking to Rylee, Eva, Avery on various topics in the late afternoon.\"\n43139,2022/10/08,I talked to Lydia for 38 minutes in the late afternoon.,I talked to Lydia for 38 minutes in the late afternoon.\n43140,2022/10/08,\"I talked to Avery, Nevaeh, Lydia for 32 minutes in the late afternoon.\",\"I talked to Avery, Nevaeh, Lydia for 32 minutes in the late afternoon.\"\n43141,2022/10/08,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n43142,2022/10/08,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n43143,2022/10/09,I did swimming on 2022/10/09.,I did swimming on 2022/10/09.\n43144,2022/10/09,\"I had oatmeal for breakfast with Eva, Avery, Claire, Layla, Lydia, Kinsley, Nevaeh, Piper, Piper, Olivia, Hazel, Nora, Rylee\",\"I had oatmeal for breakfast with Eva, Avery, Claire, Layla, Lydia, Kinsley, Nevaeh, Piper, Piper, Olivia, Hazel, Nora, Rylee\"\n43145,2022/10/09,I had lunch with Layla. I ate pasta.,I had lunch with Layla. I ate pasta.\n43146,2022/10/09,I had dinner with Kayden. I ate a burger.,I had dinner with Kayden. I ate a burger.\n43147,2022/10/09,I talked to Nevaeh for 23 minutes during lunch hours.,I talked to Nevaeh for 23 minutes during lunch hours.\n43148,2022/10/09,I spent 20 talking to Layla on various topics in the late afternoon.,I spent 20 talking to Layla on various topics in the late afternoon.\n43149,2022/10/09,I talked to Olivia for 33 minutes in the early afternoon.,I talked to Olivia for 33 minutes in the early afternoon.\n43150,2022/10/09,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n43151,2022/10/09,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n43152,2022/10/10,\"On 2022/10/10, I took Mila on a date to a park\",\"On 2022/10/10, I took Mila on a date to a park\"\n43153,2022/10/10,I did hiking on 2022/10/10.,I did hiking on 2022/10/10.\n43154,2022/10/10,I had breakfast with Avery. I ate pancakes.,I had breakfast with Avery. I ate pancakes.\n43155,2022/10/10,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n43156,2022/10/10,\"I had tacos for dinner with Carter, Andrew, Emily, Kayden\",\"I had tacos for dinner with Carter, Andrew, Emily, Kayden\"\n43157,2022/10/10,\"I spent 16 talking to Hazel, Avery, Rylee, Claire on various topics in the early evening.\",\"I spent 16 talking to Hazel, Avery, Rylee, Claire on various topics in the early evening.\"\n43158,2022/10/10,I spent 24 talking to Hazel on various topics in the morning.,I spent 24 talking to Hazel on various topics in the morning.\n43159,2022/10/10,\"I spent 29 talking to Rylee, Olivia, Piper, Kinsley on various topics during lunch hours.\",\"I spent 29 talking to Rylee, Olivia, Piper, Kinsley on various topics during lunch hours.\"\n43160,2022/10/10,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n43161,2022/10/10,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n43162,2022/10/11,\"On 2022/10/11, I took Eleanor on a date to a park\",\"On 2022/10/11, I took Eleanor on a date to a park\"\n43163,2022/10/11,I did weight lifting on 2022/10/11.,I did weight lifting on 2022/10/11.\n43164,2022/10/11,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n43165,2022/10/11,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n43166,2022/10/11,I prepare sushi for dinner.,I prepare sushi for dinner.\n43167,2022/10/11,I spent 46 talking to Avery on various topics late in the evening.,I spent 46 talking to Avery on various topics late in the evening.\n43168,2022/10/11,\"I talked to Kinsley, Nora, Olivia for 43 minutes in the morning.\",\"I talked to Kinsley, Nora, Olivia for 43 minutes in the morning.\"\n43169,2022/10/11,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n43170,2022/10/11,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n43171,2022/10/12,\"I bought some mandarins, soda, mineral water, apple juice, toothbrush, body lotion from the grocery store. I saw Avery at the grocery store.\",\"I bought some mandarins, soda, mineral water, apple juice, toothbrush, body lotion from the grocery store. I saw Avery at the grocery store.\"\n43172,2022/10/12,I did swimming on 2022/10/12.,I did swimming on 2022/10/12.\n43173,2022/10/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n43174,2022/10/12,\"I had a burger for lunch with Emily, Andrew, Kayden\",\"I had a burger for lunch with Emily, Andrew, Kayden\"\n43175,2022/10/12,\"I had dinner with Andrew, Emily, Carter, Kayden. I ate sandwich.\",\"I had dinner with Andrew, Emily, Carter, Kayden. I ate sandwich.\"\n43176,2022/10/12,\"I spent 29 talking to Eva, Olivia, Kinsley on various topics in the early evening.\",\"I spent 29 talking to Eva, Olivia, Kinsley on various topics in the early evening.\"\n43177,2022/10/12,I talked to Claire for 54 minutes late in the evening.,I talked to Claire for 54 minutes late in the evening.\n43178,2022/10/12,\"I spent 30 talking to Eva, Lydia on various topics in the morning.\",\"I spent 30 talking to Eva, Lydia on various topics in the morning.\"\n43179,2022/10/12,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n43180,2022/10/12,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n43181,2022/10/13,I did weight lifting on 2022/10/13.,I did weight lifting on 2022/10/13.\n43182,2022/10/13,\"I had breakfast with Andrew, Emily. I ate pancakes.\",\"I had breakfast with Andrew, Emily. I ate pancakes.\"\n43183,2022/10/13,I ate chinese food for lunch.,I ate chinese food for lunch.\n43184,2022/10/13,\"I had sushi for dinner with Kayden, Andrew, Emily\",\"I had sushi for dinner with Kayden, Andrew, Emily\"\n43185,2022/10/13,\"I talked to Olivia, Nora, Piper for 24 minutes in the morning.\",\"I talked to Olivia, Nora, Piper for 24 minutes in the morning.\"\n43186,2022/10/13,\"I talked to Olivia, Nora for 55 minutes in the late afternoon.\",\"I talked to Olivia, Nora for 55 minutes in the late afternoon.\"\n43187,2022/10/13,\"I spent 21 talking to Kinsley, Piper, Claire on various topics during lunch hours.\",\"I spent 21 talking to Kinsley, Piper, Claire on various topics during lunch hours.\"\n43188,2022/10/13,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n43189,2022/10/13,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n43190,2022/10/14,I did HIIT on 2022/10/14.,I did HIIT on 2022/10/14.\n43191,2022/10/14,I had oatmeal for breakfast with Carter,I had oatmeal for breakfast with Carter\n43192,2022/10/14,I ate tacos for lunch.,I ate tacos for lunch.\n43193,2022/10/14,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n43194,2022/10/14,\"I spent 27 talking to Eva, Piper on various topics during lunch hours.\",\"I spent 27 talking to Eva, Piper on various topics during lunch hours.\"\n43195,2022/10/14,\"I talked to Claire, Rylee, Avery, Nora for 19 minutes in the morning.\",\"I talked to Claire, Rylee, Avery, Nora for 19 minutes in the morning.\"\n43196,2022/10/14,\"I spent 29 talking to Piper, Rylee on various topics in the late afternoon.\",\"I spent 29 talking to Piper, Rylee on various topics in the late afternoon.\"\n43197,2022/10/14,I talked to Nevaeh for 12 minutes during lunch hours.,I talked to Nevaeh for 12 minutes during lunch hours.\n43198,2022/10/14,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n43199,2022/10/14,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n43200,2022/10/15,I went on a date with Wang-Chiew on 2022/10/15 at a restaurant,I went on a date with Wang-Chiew on 2022/10/15 at a restaurant\n43201,2022/10/15,I did swimming on 2022/10/15.,I did swimming on 2022/10/15.\n43202,2022/10/15,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n43203,2022/10/15,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n43204,2022/10/15,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n43205,2022/10/15,I talked to Rylee for 15 minutes in the early afternoon.,I talked to Rylee for 15 minutes in the early afternoon.\n43206,2022/10/15,\"I talked to Layla, Kinsley, Nevaeh for 40 minutes late in the evening.\",\"I talked to Layla, Kinsley, Nevaeh for 40 minutes late in the evening.\"\n43207,2022/10/15,\"I talked to Piper, Rylee for 38 minutes in the early afternoon.\",\"I talked to Piper, Rylee for 38 minutes in the early afternoon.\"\n43208,2022/10/15,\"I spent 18 talking to Rylee, Piper, Nevaeh, Claire on various topics in the early evening.\",\"I spent 18 talking to Rylee, Piper, Nevaeh, Claire on various topics in the early evening.\"\n43209,2022/10/15,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n43210,2022/10/15,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n43211,2022/10/16,\"I spent time gardening on 2022/10/16 with Emily, Kayden, Carter.\",\"I spent time gardening on 2022/10/16 with Emily, Kayden, Carter.\"\n43212,2022/10/16,I did running on 2022/10/16.,I did running on 2022/10/16.\n43213,2022/10/16,\"I had breakfast with Avery, Nora, Hazel. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Nora, Hazel. I ate peanut-butter-jam.\"\n43214,2022/10/16,\"I had chinese food for lunch with Hazel, Nevaeh, Eva, Kinsley\",\"I had chinese food for lunch with Hazel, Nevaeh, Eva, Kinsley\"\n43215,2022/10/16,I ate chinese food for dinner.,I ate chinese food for dinner.\n43216,2022/10/16,\"I spent 19 talking to Lydia, Piper, Piper, Hazel on various topics in the morning.\",\"I spent 19 talking to Lydia, Piper, Piper, Hazel on various topics in the morning.\"\n43217,2022/10/16,I talked to Nevaeh for 7 minutes in the morning.,I talked to Nevaeh for 7 minutes in the morning.\n43218,2022/10/16,\"I spent 42 talking to Hazel, Claire, Avery on various topics late in the evening.\",\"I spent 42 talking to Hazel, Claire, Avery on various topics late in the evening.\"\n43219,2022/10/16,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n43220,2022/10/16,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n43221,2022/10/17,I did weight lifting on 2022/10/17.,I did weight lifting on 2022/10/17.\n43222,2022/10/17,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n43223,2022/10/17,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n43224,2022/10/17,\"I had a burger for dinner with Nevaeh, Lydia, Avery, Kinsley, Layla, Eva, Olivia, Nora, Rylee, Claire, Piper, Hazel, Piper\",\"I had a burger for dinner with Nevaeh, Lydia, Avery, Kinsley, Layla, Eva, Olivia, Nora, Rylee, Claire, Piper, Hazel, Piper\"\n43225,2022/10/17,I spent 41 talking to Nevaeh on various topics late in the evening.,I spent 41 talking to Nevaeh on various topics late in the evening.\n43226,2022/10/17,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n43227,2022/10/17,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n43228,2022/10/18,I did swimming on 2022/10/18.,I did swimming on 2022/10/18.\n43229,2022/10/18,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n43230,2022/10/18,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n43231,2022/10/18,\"I had a burger for dinner with Nevaeh, Rylee, Avery, Hazel, Layla, Olivia\",\"I had a burger for dinner with Nevaeh, Rylee, Avery, Hazel, Layla, Olivia\"\n43232,2022/10/18,\"I talked to Rylee, Kinsley, Avery for 35 minutes in the early evening.\",\"I talked to Rylee, Kinsley, Avery for 35 minutes in the early evening.\"\n43233,2022/10/18,\"I spent 54 talking to Avery, Eva, Lydia on various topics in the early evening.\",\"I spent 54 talking to Avery, Eva, Lydia on various topics in the early evening.\"\n43234,2022/10/18,\"I spent 35 talking to Nora, Rylee, Avery, Kinsley on various topics late in the evening.\",\"I spent 35 talking to Nora, Rylee, Avery, Kinsley on various topics late in the evening.\"\n43235,2022/10/18,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n43236,2022/10/18,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n43237,2022/10/19,\"I really enjoyed baking homemade toaster pastries on 2022/10/19 with Carter, Emily, Andrew, Kayden at my place\",\"I really enjoyed baking homemade toaster pastries on 2022/10/19 with Carter, Emily, Andrew, Kayden at my place\"\n43238,2022/10/19,I did hiking on 2022/10/19.,I did hiking on 2022/10/19.\n43239,2022/10/19,\"I had peanut-butter-jam for breakfast with Nora, Piper, Avery, Olivia, Kinsley, Hazel, Lydia, Claire, Piper, Rylee, Nevaeh, Eva\",\"I had peanut-butter-jam for breakfast with Nora, Piper, Avery, Olivia, Kinsley, Hazel, Lydia, Claire, Piper, Rylee, Nevaeh, Eva\"\n43240,2022/10/19,I ate sushi for lunch.,I ate sushi for lunch.\n43241,2022/10/19,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n43242,2022/10/19,I talked to Piper for 52 minutes in the late afternoon.,I talked to Piper for 52 minutes in the late afternoon.\n43243,2022/10/19,\"I spent 40 talking to Lydia, Piper, Rylee on various topics in the morning.\",\"I spent 40 talking to Lydia, Piper, Rylee on various topics in the morning.\"\n43244,2022/10/19,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n43245,2022/10/19,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n43246,2022/10/20,I did HIIT on 2022/10/20.,I did HIIT on 2022/10/20.\n43247,2022/10/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n43248,2022/10/20,I had lunch with Jackson. I ate sandwich.,I had lunch with Jackson. I ate sandwich.\n43249,2022/10/20,\"I had dinner with Nevaeh, Olivia, Eva, Avery, Lydia. I ate a burger.\",\"I had dinner with Nevaeh, Olivia, Eva, Avery, Lydia. I ate a burger.\"\n43250,2022/10/20,I spent 23 talking to Piper on various topics late in the evening.,I spent 23 talking to Piper on various topics late in the evening.\n43251,2022/10/20,\"I spent 41 talking to Piper, Layla, Claire, Nora on various topics during lunch hours.\",\"I spent 41 talking to Piper, Layla, Claire, Nora on various topics during lunch hours.\"\n43252,2022/10/20,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n43253,2022/10/20,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n43254,2022/10/21,I spent some time gardening on 2022/10/21.,I spent some time gardening on 2022/10/21.\n43255,2022/10/21,\"I bought some nectarines, oranges, pineapple juice, paper towel, conditioner, body lotion from the grocery store. I saw Carter, Andrew at the grocery store.\",\"I bought some nectarines, oranges, pineapple juice, paper towel, conditioner, body lotion from the grocery store. I saw Carter, Andrew at the grocery store.\"\n43256,2022/10/21,I did hiking on 2022/10/21.,I did hiking on 2022/10/21.\n43257,2022/10/21,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n43258,2022/10/21,\"I had sandwich for lunch with Willow, Avery\",\"I had sandwich for lunch with Willow, Avery\"\n43259,2022/10/21,I ate steak for dinner.,I ate steak for dinner.\n43260,2022/10/21,\"I talked to Rylee, Lydia for 49 minutes in the morning.\",\"I talked to Rylee, Lydia for 49 minutes in the morning.\"\n43261,2022/10/21,\"I spent 13 talking to Eva, Piper, Lydia on various topics in the early afternoon.\",\"I spent 13 talking to Eva, Piper, Lydia on various topics in the early afternoon.\"\n43262,2022/10/21,I spent 43 talking to Kinsley on various topics in the morning.,I spent 43 talking to Kinsley on various topics in the morning.\n43263,2022/10/21,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n43264,2022/10/21,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n43265,2022/10/22,\"On 2022/10/22, I took Everett on a date to a park\",\"On 2022/10/22, I took Everett on a date to a park\"\n43266,2022/10/22,\"I went grocery shopping. I bought some raspberries, oranges, apples, watermelons, sports drinks, tea, mineral water, orange juice, and conditioner, shaving cream\",\"I went grocery shopping. I bought some raspberries, oranges, apples, watermelons, sports drinks, tea, mineral water, orange juice, and conditioner, shaving cream\"\n43267,2022/10/22,I did weight lifting on 2022/10/22.,I did weight lifting on 2022/10/22.\n43268,2022/10/22,I had cereals for breakfast with Emily,I had cereals for breakfast with Emily\n43269,2022/10/22,I prepare sushi for lunch.,I prepare sushi for lunch.\n43270,2022/10/22,I prepare tacos for dinner.,I prepare tacos for dinner.\n43271,2022/10/22,\"I spent 43 talking to Nora, Kinsley, Avery, Claire on various topics in the late afternoon.\",\"I spent 43 talking to Nora, Kinsley, Avery, Claire on various topics in the late afternoon.\"\n43272,2022/10/22,\"I talked to Rylee, Layla for 55 minutes in the early afternoon.\",\"I talked to Rylee, Layla for 55 minutes in the early afternoon.\"\n43273,2022/10/22,\"I spent 46 talking to Claire, Olivia, Piper, Hazel on various topics in the early evening.\",\"I spent 46 talking to Claire, Olivia, Piper, Hazel on various topics in the early evening.\"\n43274,2022/10/22,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n43275,2022/10/22,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n43276,2022/10/23,I did running on 2022/10/23.,I did running on 2022/10/23.\n43277,2022/10/23,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n43278,2022/10/23,I ate a burger for lunch.,I ate a burger for lunch.\n43279,2022/10/23,I prepare steak for dinner.,I prepare steak for dinner.\n43280,2022/10/23,\"I talked to Olivia, Piper for 44 minutes in the early evening.\",\"I talked to Olivia, Piper for 44 minutes in the early evening.\"\n43281,2022/10/23,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n43282,2022/10/23,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n43283,2022/10/24,I did HIIT on 2022/10/24.,I did HIIT on 2022/10/24.\n43284,2022/10/24,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n43285,2022/10/24,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n43286,2022/10/24,\"I had sandwich for dinner with Nora, Hazel, Piper, Lydia, Piper, Layla, Olivia, Eva, Nevaeh, Kinsley, Claire, Rylee, Avery\",\"I had sandwich for dinner with Nora, Hazel, Piper, Lydia, Piper, Layla, Olivia, Eva, Nevaeh, Kinsley, Claire, Rylee, Avery\"\n43287,2022/10/24,\"I talked to Avery, Eva, Olivia, Nora for 13 minutes late in the evening.\",\"I talked to Avery, Eva, Olivia, Nora for 13 minutes late in the evening.\"\n43288,2022/10/24,\"I spent 47 talking to Rylee, Nevaeh, Eva on various topics in the early afternoon.\",\"I spent 47 talking to Rylee, Nevaeh, Eva on various topics in the early afternoon.\"\n43289,2022/10/24,\"I spent 22 talking to Claire, Eva, Piper, Kinsley on various topics in the early evening.\",\"I spent 22 talking to Claire, Eva, Piper, Kinsley on various topics in the early evening.\"\n43290,2022/10/24,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n43291,2022/10/24,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n43292,2022/10/25,I did swimming on 2022/10/25.,I did swimming on 2022/10/25.\n43293,2022/10/25,\"I had breakfast with Emily, Andrew, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Andrew, Kayden. I ate eggs, sausages, and bread.\"\n43294,2022/10/25,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n43295,2022/10/25,\"I had dinner with Piper, Claire, Piper. I ate pasta.\",\"I had dinner with Piper, Claire, Piper. I ate pasta.\"\n43296,2022/10/25,\"I spent 33 talking to Piper, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 33 talking to Piper, Nevaeh, Piper on various topics in the early afternoon.\"\n43297,2022/10/25,\"I talked to Olivia, Nora for 17 minutes in the early evening.\",\"I talked to Olivia, Nora for 17 minutes in the early evening.\"\n43298,2022/10/25,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n43299,2022/10/25,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n43300,2022/10/26,\"I bought some blueberries, clementines, apricots, pineapple juice, mango juice, guava juice, apple juice, toothpaste, toilet paper, mouthwash, mouth wash from the grocery store. I saw Carter, Andrew at the grocery store.\",\"I bought some blueberries, clementines, apricots, pineapple juice, mango juice, guava juice, apple juice, toothpaste, toilet paper, mouthwash, mouth wash from the grocery store. I saw Carter, Andrew at the grocery store.\"\n43301,2022/10/26,I did HIIT on 2022/10/26.,I did HIIT on 2022/10/26.\n43302,2022/10/26,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n43303,2022/10/26,\"I had pasta for lunch with Carter, Andrew\",\"I had pasta for lunch with Carter, Andrew\"\n43304,2022/10/26,I prepare tacos for dinner.,I prepare tacos for dinner.\n43305,2022/10/26,I talked to Rylee for 5 minutes in the early evening.,I talked to Rylee for 5 minutes in the early evening.\n43306,2022/10/26,I spent 35 talking to Piper on various topics in the early afternoon.,I spent 35 talking to Piper on various topics in the early afternoon.\n43307,2022/10/26,I spent 6 talking to Rylee on various topics late in the evening.,I spent 6 talking to Rylee on various topics late in the evening.\n43308,2022/10/26,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n43309,2022/10/26,I watched a tv series for 46 minutes on TV today.,I watched a tv series for 46 minutes on TV today.\n43310,2022/10/27,I did weight lifting on 2022/10/27.,I did weight lifting on 2022/10/27.\n43311,2022/10/27,\"I had breakfast with Piper, Rylee. I ate pancakes.\",\"I had breakfast with Piper, Rylee. I ate pancakes.\"\n43312,2022/10/27,I ate pasta for lunch.,I ate pasta for lunch.\n43313,2022/10/27,I prepare steak for dinner.,I prepare steak for dinner.\n43314,2022/10/27,\"I talked to Layla, Nevaeh for 15 minutes in the late afternoon.\",\"I talked to Layla, Nevaeh for 15 minutes in the late afternoon.\"\n43315,2022/10/27,\"I talked to Hazel, Avery for 50 minutes in the early afternoon.\",\"I talked to Hazel, Avery for 50 minutes in the early afternoon.\"\n43316,2022/10/27,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n43317,2022/10/27,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n43318,2022/10/28,\"On 2022/10/28, I took Addison on a date to a coffee Shop\",\"On 2022/10/28, I took Addison on a date to a coffee Shop\"\n43319,2022/10/28,\"I spent time yoga on 2022/10/28 with Willow, Jackson.\",\"I spent time yoga on 2022/10/28 with Willow, Jackson.\"\n43320,2022/10/28,I did swimming on 2022/10/28.,I did swimming on 2022/10/28.\n43321,2022/10/28,\"I had cereals for breakfast with Andrew, Kayden\",\"I had cereals for breakfast with Andrew, Kayden\"\n43322,2022/10/28,\"I had lunch with Avery, Nevaeh, Lydia, Layla, Kinsley, Eva. I ate fish and chips.\",\"I had lunch with Avery, Nevaeh, Lydia, Layla, Kinsley, Eva. I ate fish and chips.\"\n43323,2022/10/28,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n43324,2022/10/28,\"I talked to Nora, Kinsley, Olivia for 53 minutes in the early evening.\",\"I talked to Nora, Kinsley, Olivia for 53 minutes in the early evening.\"\n43325,2022/10/28,\"I talked to Lydia, Hazel, Olivia, Piper for 32 minutes in the early afternoon.\",\"I talked to Lydia, Hazel, Olivia, Piper for 32 minutes in the early afternoon.\"\n43326,2022/10/28,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n43327,2022/10/28,I spent 22 minutes watching a movie on TV today.,I spent 22 minutes watching a movie on TV today.\n43328,2022/10/29,\"I bought some blackberries, sports drinks, apple juice, mango juice, shaving cream, mouthwash, paper towel online.\",\"I bought some blackberries, sports drinks, apple juice, mango juice, shaving cream, mouthwash, paper towel online.\"\n43329,2022/10/29,I did biking on 2022/10/29.,I did biking on 2022/10/29.\n43330,2022/10/29,\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Emily\",\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Emily\"\n43331,2022/10/29,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n43332,2022/10/29,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n43333,2022/10/29,\"I talked to Lydia, Hazel, Nora for 40 minutes in the early evening.\",\"I talked to Lydia, Hazel, Nora for 40 minutes in the early evening.\"\n43334,2022/10/29,\"I spent 54 talking to Olivia, Lydia, Claire on various topics during lunch hours.\",\"I spent 54 talking to Olivia, Lydia, Claire on various topics during lunch hours.\"\n43335,2022/10/29,\"I talked to Hazel, Nevaeh for 42 minutes during lunch hours.\",\"I talked to Hazel, Nevaeh for 42 minutes during lunch hours.\"\n43336,2022/10/29,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n43337,2022/10/29,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n43338,2022/10/30,I did HIIT on 2022/10/30.,I did HIIT on 2022/10/30.\n43339,2022/10/30,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n43340,2022/10/30,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n43341,2022/10/30,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n43342,2022/10/30,\"I spent 5 talking to Kinsley, Nora on various topics in the late afternoon.\",\"I spent 5 talking to Kinsley, Nora on various topics in the late afternoon.\"\n43343,2022/10/30,\"I talked to Nora, Hazel, Piper, Avery for 8 minutes in the morning.\",\"I talked to Nora, Hazel, Piper, Avery for 8 minutes in the morning.\"\n43344,2022/10/30,\"I talked to Eva, Avery, Kinsley, Lydia for 7 minutes in the late afternoon.\",\"I talked to Eva, Avery, Kinsley, Lydia for 7 minutes in the late afternoon.\"\n43345,2022/10/30,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n43346,2022/10/30,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n43347,2022/10/31,I did weight lifting on 2022/10/31.,I did weight lifting on 2022/10/31.\n43348,2022/10/31,\"I had pancakes for breakfast with Willow, Avery, Benjamin\",\"I had pancakes for breakfast with Willow, Avery, Benjamin\"\n43349,2022/10/31,\"I had pasta for lunch with Andrew, Kayden, Carter\",\"I had pasta for lunch with Andrew, Kayden, Carter\"\n43350,2022/10/31,\"I had dinner with Andrew, Kayden, Carter. I ate chinese food.\",\"I had dinner with Andrew, Kayden, Carter. I ate chinese food.\"\n43351,2022/10/31,\"I talked to Lydia, Rylee, Avery for 15 minutes in the early evening.\",\"I talked to Lydia, Rylee, Avery for 15 minutes in the early evening.\"\n43352,2022/10/31,\"I talked to Piper, Claire, Kinsley, Lydia for 36 minutes during lunch hours.\",\"I talked to Piper, Claire, Kinsley, Lydia for 36 minutes during lunch hours.\"\n43353,2022/10/31,\"I talked to Hazel, Nevaeh for 31 minutes in the morning.\",\"I talked to Hazel, Nevaeh for 31 minutes in the morning.\"\n43354,2022/10/31,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n43355,2022/10/31,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n43356,2022/11/01,I did swimming on 2022/11/01.,I did swimming on 2022/11/01.\n43357,2022/11/01,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n43358,2022/11/01,I had steak for lunch with Jackson,I had steak for lunch with Jackson\n43359,2022/11/01,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n43360,2022/11/01,\"I talked to Avery, Piper, Nevaeh, Kinsley for 22 minutes in the early afternoon.\",\"I talked to Avery, Piper, Nevaeh, Kinsley for 22 minutes in the early afternoon.\"\n43361,2022/11/01,\"I spent 22 talking to Nevaeh, Avery, Lydia, Hazel on various topics in the morning.\",\"I spent 22 talking to Nevaeh, Avery, Lydia, Hazel on various topics in the morning.\"\n43362,2022/11/01,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n43363,2022/11/01,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n43364,2022/11/02,I did running on 2022/11/02.,I did running on 2022/11/02.\n43365,2022/11/02,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n43366,2022/11/02,\"I had fish and chips for lunch with Hazel, Eva, Kinsley, Piper, Piper, Lydia\",\"I had fish and chips for lunch with Hazel, Eva, Kinsley, Piper, Piper, Lydia\"\n43367,2022/11/02,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n43368,2022/11/02,I talked to Claire for 50 minutes during lunch hours.,I talked to Claire for 50 minutes during lunch hours.\n43369,2022/11/02,\"I spent 8 talking to Olivia, Layla, Claire, Nora on various topics in the morning.\",\"I spent 8 talking to Olivia, Layla, Claire, Nora on various topics in the morning.\"\n43370,2022/11/02,\"I talked to Kinsley, Eva for 46 minutes in the late afternoon.\",\"I talked to Kinsley, Eva for 46 minutes in the late afternoon.\"\n43371,2022/11/02,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n43372,2022/11/02,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n43373,2022/11/03,\"I went grocery shopping. I bought some cherres, watermelons, nectarines, chocolate milk, and conditioner\",\"I went grocery shopping. I bought some cherres, watermelons, nectarines, chocolate milk, and conditioner\"\n43374,2022/11/03,I did weight lifting on 2022/11/03.,I did weight lifting on 2022/11/03.\n43375,2022/11/03,\"I had toast and cheese for breakfast with Hazel, Kinsley\",\"I had toast and cheese for breakfast with Hazel, Kinsley\"\n43376,2022/11/03,I prepare tacos for lunch.,I prepare tacos for lunch.\n43377,2022/11/03,\"I had tacos for dinner with Kayden, Emily, Carter\",\"I had tacos for dinner with Kayden, Emily, Carter\"\n43378,2022/11/03,\"I spent 50 talking to Lydia, Eva on various topics in the morning.\",\"I spent 50 talking to Lydia, Eva on various topics in the morning.\"\n43379,2022/11/03,I talked to Lydia for 18 minutes late in the evening.,I talked to Lydia for 18 minutes late in the evening.\n43380,2022/11/03,\"I spent 44 talking to Eva, Layla on various topics in the late afternoon.\",\"I spent 44 talking to Eva, Layla on various topics in the late afternoon.\"\n43381,2022/11/03,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n43382,2022/11/03,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n43383,2022/11/04,Emily for his/her  and I went for an annual vision checkup at the university hospital on 2022/11/04.,Emily for his/her  and I went for an annual vision checkup at the university hospital on 2022/11/04.\n43384,2022/11/04,I was baking pistachio oat squares on 2022/11/04 with Eva at my place,I was baking pistachio oat squares on 2022/11/04 with Eva at my place\n43385,2022/11/04,\"I spent time working out on 2022/11/04 with Willow, Avery, Jackson.\",\"I spent time working out on 2022/11/04 with Willow, Avery, Jackson.\"\n43386,2022/11/04,I did swimming on 2022/11/04.,I did swimming on 2022/11/04.\n43387,2022/11/04,I had breakfast with Nora. I ate cereals.,I had breakfast with Nora. I ate cereals.\n43388,2022/11/04,I ate chinese food for lunch.,I ate chinese food for lunch.\n43389,2022/11/04,\"I had dinner with Emily, Carter, Andrew, Kayden. I ate tacos.\",\"I had dinner with Emily, Carter, Andrew, Kayden. I ate tacos.\"\n43390,2022/11/04,\"I talked to Claire, Layla, Piper for 49 minutes late in the evening.\",\"I talked to Claire, Layla, Piper for 49 minutes late in the evening.\"\n43391,2022/11/04,\"I talked to Eva, Olivia, Piper for 48 minutes during lunch hours.\",\"I talked to Eva, Olivia, Piper for 48 minutes during lunch hours.\"\n43392,2022/11/04,\"I talked to Rylee, Nevaeh, Eva, Avery for 45 minutes in the early evening.\",\"I talked to Rylee, Nevaeh, Eva, Avery for 45 minutes in the early evening.\"\n43393,2022/11/04,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n43394,2022/11/04,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n43395,2022/11/05,\"On 2022/11/05, I took Penelope on a date to a park\",\"On 2022/11/05, I took Penelope on a date to a park\"\n43396,2022/11/05,I did HIIT on 2022/11/05.,I did HIIT on 2022/11/05.\n43397,2022/11/05,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n43398,2022/11/05,I ate indian food for lunch.,I ate indian food for lunch.\n43399,2022/11/05,\"I had dinner with Claire, Olivia, Rylee, Lydia, Avery, Nevaeh. I ate a burger.\",\"I had dinner with Claire, Olivia, Rylee, Lydia, Avery, Nevaeh. I ate a burger.\"\n43400,2022/11/05,\"I spent 25 talking to Piper, Nora, Layla, Kinsley on various topics in the early evening.\",\"I spent 25 talking to Piper, Nora, Layla, Kinsley on various topics in the early evening.\"\n43401,2022/11/05,\"I talked to Rylee, Kinsley for 23 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley for 23 minutes in the early afternoon.\"\n43402,2022/11/05,\"I talked to Avery, Claire for 22 minutes in the early afternoon.\",\"I talked to Avery, Claire for 22 minutes in the early afternoon.\"\n43403,2022/11/05,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n43404,2022/11/05,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n43405,2022/11/06,I did running on 2022/11/06.,I did running on 2022/11/06.\n43406,2022/11/06,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n43407,2022/11/06,\"I had a burger for lunch with Kayden, Carter, Emily\",\"I had a burger for lunch with Kayden, Carter, Emily\"\n43408,2022/11/06,I prepare indian food for dinner.,I prepare indian food for dinner.\n43409,2022/11/06,\"I talked to Rylee, Kinsley for 24 minutes in the morning.\",\"I talked to Rylee, Kinsley for 24 minutes in the morning.\"\n43410,2022/11/06,\"I talked to Kinsley, Piper for 33 minutes in the early evening.\",\"I talked to Kinsley, Piper for 33 minutes in the early evening.\"\n43411,2022/11/06,\"I talked to Avery, Rylee, Eva, Hazel for 18 minutes in the morning.\",\"I talked to Avery, Rylee, Eva, Hazel for 18 minutes in the morning.\"\n43412,2022/11/06,\"I talked to Hazel, Olivia, Eva for 50 minutes late in the evening.\",\"I talked to Hazel, Olivia, Eva for 50 minutes late in the evening.\"\n43413,2022/11/06,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n43414,2022/11/06,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n43415,2022/11/07,\"I went grocery shopping. I bought some apples, cherres, pears, clementines, mineral water, orange juice, and toothbrush, facial wash\",\"I went grocery shopping. I bought some apples, cherres, pears, clementines, mineral water, orange juice, and toothbrush, facial wash\"\n43416,2022/11/07,I did swimming on 2022/11/07.,I did swimming on 2022/11/07.\n43417,2022/11/07,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n43418,2022/11/07,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n43419,2022/11/07,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n43420,2022/11/07,I spent 51 talking to Piper on various topics in the early evening.,I spent 51 talking to Piper on various topics in the early evening.\n43421,2022/11/07,\"I spent 53 talking to Nevaeh, Hazel, Layla on various topics in the morning.\",\"I spent 53 talking to Nevaeh, Hazel, Layla on various topics in the morning.\"\n43422,2022/11/07,I talked to Nora for 32 minutes in the morning.,I talked to Nora for 32 minutes in the morning.\n43423,2022/11/07,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n43424,2022/11/07,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n43425,2022/11/08,I did HIIT on 2022/11/08.,I did HIIT on 2022/11/08.\n43426,2022/11/08,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n43427,2022/11/08,I prepare sushi for lunch.,I prepare sushi for lunch.\n43428,2022/11/08,I ate indian food for dinner.,I ate indian food for dinner.\n43429,2022/11/08,\"I spent 55 talking to Eva, Nevaeh, Nora, Claire on various topics in the early evening.\",\"I spent 55 talking to Eva, Nevaeh, Nora, Claire on various topics in the early evening.\"\n43430,2022/11/08,\"I talked to Nora, Kinsley for 33 minutes in the late afternoon.\",\"I talked to Nora, Kinsley for 33 minutes in the late afternoon.\"\n43431,2022/11/08,\"I talked to Kinsley, Lydia for 28 minutes in the late afternoon.\",\"I talked to Kinsley, Lydia for 28 minutes in the late afternoon.\"\n43432,2022/11/08,\"I spent 15 talking to Avery, Piper, Kinsley, Nora on various topics in the late afternoon.\",\"I spent 15 talking to Avery, Piper, Kinsley, Nora on various topics in the late afternoon.\"\n43433,2022/11/08,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n43434,2022/11/08,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n43435,2022/11/09,I did hiking on 2022/11/09.,I did hiking on 2022/11/09.\n43436,2022/11/09,\"I had breakfast with Kayden, Carter, Emily, Andrew. I ate pancakes.\",\"I had breakfast with Kayden, Carter, Emily, Andrew. I ate pancakes.\"\n43437,2022/11/09,I ate a burger for lunch.,I ate a burger for lunch.\n43438,2022/11/09,\"I had dinner with Lydia, Nora, Avery, Piper, Layla, Hazel, Claire. I ate a burger.\",\"I had dinner with Lydia, Nora, Avery, Piper, Layla, Hazel, Claire. I ate a burger.\"\n43439,2022/11/09,\"I spent 38 talking to Layla, Nevaeh on various topics in the morning.\",\"I spent 38 talking to Layla, Nevaeh on various topics in the morning.\"\n43440,2022/11/09,\"I spent 46 talking to Eva, Nora, Piper on various topics in the late afternoon.\",\"I spent 46 talking to Eva, Nora, Piper on various topics in the late afternoon.\"\n43441,2022/11/09,I spent 33 talking to Avery on various topics in the late afternoon.,I spent 33 talking to Avery on various topics in the late afternoon.\n43442,2022/11/09,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n43443,2022/11/09,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n43444,2022/11/10,I did biking on 2022/11/10.,I did biking on 2022/11/10.\n43445,2022/11/10,I had breakfast with Lydia. I ate pancakes.,I had breakfast with Lydia. I ate pancakes.\n43446,2022/11/10,\"I had steak for lunch with Nevaeh, Olivia, Avery, Rylee, Kinsley, Piper, Claire, Piper, Hazel, Layla\",\"I had steak for lunch with Nevaeh, Olivia, Avery, Rylee, Kinsley, Piper, Claire, Piper, Hazel, Layla\"\n43447,2022/11/10,I ate sushi for dinner.,I ate sushi for dinner.\n43448,2022/11/10,\"I spent 7 talking to Nevaeh, Kinsley on various topics during lunch hours.\",\"I spent 7 talking to Nevaeh, Kinsley on various topics during lunch hours.\"\n43449,2022/11/10,I talked to Hazel for 29 minutes in the late afternoon.,I talked to Hazel for 29 minutes in the late afternoon.\n43450,2022/11/10,\"I talked to Kinsley, Rylee, Eva, Hazel for 30 minutes late in the evening.\",\"I talked to Kinsley, Rylee, Eva, Hazel for 30 minutes late in the evening.\"\n43451,2022/11/10,\"I spent 51 talking to Piper, Hazel, Nora on various topics in the late afternoon.\",\"I spent 51 talking to Piper, Hazel, Nora on various topics in the late afternoon.\"\n43452,2022/11/10,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n43453,2022/11/10,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n43454,2022/11/11,I did running on 2022/11/11.,I did running on 2022/11/11.\n43455,2022/11/11,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n43456,2022/11/11,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n43457,2022/11/11,I ate pasta for dinner.,I ate pasta for dinner.\n43458,2022/11/11,\"I talked to Avery, Rylee for 55 minutes in the early evening.\",\"I talked to Avery, Rylee for 55 minutes in the early evening.\"\n43459,2022/11/11,\"I talked to Layla, Nevaeh for 20 minutes in the early afternoon.\",\"I talked to Layla, Nevaeh for 20 minutes in the early afternoon.\"\n43460,2022/11/11,I spent 42 talking to Kinsley on various topics late in the evening.,I spent 42 talking to Kinsley on various topics late in the evening.\n43461,2022/11/11,\"I spent 47 talking to Layla, Avery on various topics late in the evening.\",\"I spent 47 talking to Layla, Avery on various topics late in the evening.\"\n43462,2022/11/11,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n43463,2022/11/11,I spent 38 minutes watching a tv series on TV today.,I spent 38 minutes watching a tv series on TV today.\n43464,2022/11/12,I did running on 2022/11/12.,I did running on 2022/11/12.\n43465,2022/11/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n43466,2022/11/12,\"I had sandwich for lunch with Andrew, Carter\",\"I had sandwich for lunch with Andrew, Carter\"\n43467,2022/11/12,I ate indian food for dinner.,I ate indian food for dinner.\n43468,2022/11/12,\"I spent 51 talking to Piper, Rylee, Kinsley, Olivia on various topics in the late afternoon.\",\"I spent 51 talking to Piper, Rylee, Kinsley, Olivia on various topics in the late afternoon.\"\n43469,2022/11/12,\"I spent 28 talking to Claire, Hazel on various topics in the early afternoon.\",\"I spent 28 talking to Claire, Hazel on various topics in the early afternoon.\"\n43470,2022/11/12,I talked to Nora for 41 minutes in the late afternoon.,I talked to Nora for 41 minutes in the late afternoon.\n43471,2022/11/12,I spent 14 talking to Hazel on various topics in the late afternoon.,I spent 14 talking to Hazel on various topics in the late afternoon.\n43472,2022/11/12,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n43473,2022/11/12,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n43474,2022/11/13,\"I had toast and cheese for breakfast with Kayden, Andrew\",\"I had toast and cheese for breakfast with Kayden, Andrew\"\n43475,2022/11/13,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n43476,2022/11/13,I ate pasta for dinner.,I ate pasta for dinner.\n43477,2022/11/13,\"I talked to Nevaeh, Hazel, Claire for 11 minutes in the late afternoon.\",\"I talked to Nevaeh, Hazel, Claire for 11 minutes in the late afternoon.\"\n43478,2022/11/13,\"I spent 13 talking to Olivia, Nevaeh on various topics in the early evening.\",\"I spent 13 talking to Olivia, Nevaeh on various topics in the early evening.\"\n43479,2022/11/13,\"I spent 18 talking to Piper, Rylee, Hazel, Claire on various topics in the late afternoon.\",\"I spent 18 talking to Piper, Rylee, Hazel, Claire on various topics in the late afternoon.\"\n43480,2022/11/13,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n43481,2022/11/13,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n43482,2022/11/14,I did hiking on 2022/11/14.,I did hiking on 2022/11/14.\n43483,2022/11/14,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n43484,2022/11/14,\"I had lunch with Kayden, Andrew. I ate a burger.\",\"I had lunch with Kayden, Andrew. I ate a burger.\"\n43485,2022/11/14,\"I had dinner with Andrew, Carter, Emily. I ate fish and chips.\",\"I had dinner with Andrew, Carter, Emily. I ate fish and chips.\"\n43486,2022/11/14,I spent 50 talking to Lydia on various topics in the early afternoon.,I spent 50 talking to Lydia on various topics in the early afternoon.\n43487,2022/11/14,\"I spent 44 talking to Eva, Claire on various topics in the late afternoon.\",\"I spent 44 talking to Eva, Claire on various topics in the late afternoon.\"\n43488,2022/11/14,\"I talked to Olivia, Lydia for 49 minutes late in the evening.\",\"I talked to Olivia, Lydia for 49 minutes late in the evening.\"\n43489,2022/11/14,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n43490,2022/11/14,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n43491,2022/11/15,I did weight lifting on 2022/11/15.,I did weight lifting on 2022/11/15.\n43492,2022/11/15,\"I had toast and cheese for breakfast with Lydia, Eva, Olivia\",\"I had toast and cheese for breakfast with Lydia, Eva, Olivia\"\n43493,2022/11/15,\"I had indian food for lunch with Kayden, Andrew\",\"I had indian food for lunch with Kayden, Andrew\"\n43494,2022/11/15,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n43495,2022/11/15,\"I spent 52 talking to Piper, Lydia, Nora, Hazel on various topics late in the evening.\",\"I spent 52 talking to Piper, Lydia, Nora, Hazel on various topics late in the evening.\"\n43496,2022/11/15,\"I spent 54 talking to Olivia, Lydia on various topics late in the evening.\",\"I spent 54 talking to Olivia, Lydia on various topics late in the evening.\"\n43497,2022/11/15,\"I spent 15 talking to Piper, Nora on various topics in the early afternoon.\",\"I spent 15 talking to Piper, Nora on various topics in the early afternoon.\"\n43498,2022/11/15,\"I spent 37 talking to Avery, Rylee, Layla on various topics during lunch hours.\",\"I spent 37 talking to Avery, Rylee, Layla on various topics during lunch hours.\"\n43499,2022/11/15,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n43500,2022/11/15,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n43501,2022/11/16,I did weight lifting on 2022/11/16.,I did weight lifting on 2022/11/16.\n43502,2022/11/16,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n43503,2022/11/16,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n43504,2022/11/16,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n43505,2022/11/16,\"I spent 47 talking to Claire, Nora on various topics late in the evening.\",\"I spent 47 talking to Claire, Nora on various topics late in the evening.\"\n43506,2022/11/16,I spent 12 talking to Rylee on various topics in the early afternoon.,I spent 12 talking to Rylee on various topics in the early afternoon.\n43507,2022/11/16,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n43508,2022/11/16,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n43509,2022/11/17,I did weight lifting on 2022/11/17.,I did weight lifting on 2022/11/17.\n43510,2022/11/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n43511,2022/11/17,\"I had lunch with Rylee, Piper, Kinsley, Hazel, Nevaeh, Lydia. I ate sushi.\",\"I had lunch with Rylee, Piper, Kinsley, Hazel, Nevaeh, Lydia. I ate sushi.\"\n43512,2022/11/17,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n43513,2022/11/17,\"I talked to Eva, Piper for 55 minutes in the early afternoon.\",\"I talked to Eva, Piper for 55 minutes in the early afternoon.\"\n43514,2022/11/17,\"I spent 31 talking to Lydia, Rylee on various topics during lunch hours.\",\"I spent 31 talking to Lydia, Rylee on various topics during lunch hours.\"\n43515,2022/11/17,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n43516,2022/11/17,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n43517,2022/11/18,\"I bought some strawberries, chocolate milk, mango juice, mouth wash, shaving cream from the grocery store. I saw Rylee, Kinsley at the grocery store.\",\"I bought some strawberries, chocolate milk, mango juice, mouth wash, shaving cream from the grocery store. I saw Rylee, Kinsley at the grocery store.\"\n43518,2022/11/18,I did HIIT on 2022/11/18.,I did HIIT on 2022/11/18.\n43519,2022/11/18,\"I had breakfast with Kayden, Carter, Andrew. I ate cereals.\",\"I had breakfast with Kayden, Carter, Andrew. I ate cereals.\"\n43520,2022/11/18,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n43521,2022/11/18,I had tacos for dinner with Andrew,I had tacos for dinner with Andrew\n43522,2022/11/18,\"I talked to Kinsley, Eva, Nora for 14 minutes in the early evening.\",\"I talked to Kinsley, Eva, Nora for 14 minutes in the early evening.\"\n43523,2022/11/18,\"I spent 46 talking to Layla, Piper on various topics during lunch hours.\",\"I spent 46 talking to Layla, Piper on various topics during lunch hours.\"\n43524,2022/11/18,\"I spent 46 talking to Hazel, Claire, Nora, Avery on various topics in the early afternoon.\",\"I spent 46 talking to Hazel, Claire, Nora, Avery on various topics in the early afternoon.\"\n43525,2022/11/18,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n43526,2022/11/18,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n43527,2022/11/19,I did running on 2022/11/19.,I did running on 2022/11/19.\n43528,2022/11/19,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n43529,2022/11/19,I prepare steak for lunch.,I prepare steak for lunch.\n43530,2022/11/19,I ate pasta for dinner.,I ate pasta for dinner.\n43531,2022/11/19,I talked to Lydia for 18 minutes in the morning.,I talked to Lydia for 18 minutes in the morning.\n43532,2022/11/19,\"I spent 28 talking to Avery, Nora, Piper on various topics in the late afternoon.\",\"I spent 28 talking to Avery, Nora, Piper on various topics in the late afternoon.\"\n43533,2022/11/19,I talked to Hazel for 36 minutes late in the evening.,I talked to Hazel for 36 minutes late in the evening.\n43534,2022/11/19,\"I spent 49 talking to Olivia, Lydia on various topics in the early afternoon.\",\"I spent 49 talking to Olivia, Lydia on various topics in the early afternoon.\"\n43535,2022/11/19,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n43536,2022/11/19,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n43537,2022/11/20,I went on a date with Aiden on 2022/11/20 at a boba shop,I went on a date with Aiden on 2022/11/20 at a boba shop\n43538,2022/11/20,I really enjoyed gardening on 2022/11/20,I really enjoyed gardening on 2022/11/20\n43539,2022/11/20,I did weight lifting on 2022/11/20.,I did weight lifting on 2022/11/20.\n43540,2022/11/20,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n43541,2022/11/20,\"I had fish and chips for lunch with Jackson, Avery, Benjamin, Willow\",\"I had fish and chips for lunch with Jackson, Avery, Benjamin, Willow\"\n43542,2022/11/20,I ate chinese food for dinner.,I ate chinese food for dinner.\n43543,2022/11/20,\"I spent 13 talking to Piper, Layla on various topics during lunch hours.\",\"I spent 13 talking to Piper, Layla on various topics during lunch hours.\"\n43544,2022/11/20,I spent 47 talking to Nora on various topics late in the evening.,I spent 47 talking to Nora on various topics late in the evening.\n43545,2022/11/20,I spent 31 talking to Layla on various topics in the morning.,I spent 31 talking to Layla on various topics in the morning.\n43546,2022/11/20,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n43547,2022/11/20,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n43548,2022/11/21,\"I bought some cherres, guava, nectarines, apple juice, mouth wash, shaving cream, shampoo from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\",\"I bought some cherres, guava, nectarines, apple juice, mouth wash, shaving cream, shampoo from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\"\n43549,2022/11/21,I did HIIT on 2022/11/21.,I did HIIT on 2022/11/21.\n43550,2022/11/21,\"I had breakfast with Andrew, Emily. I ate oatmeal.\",\"I had breakfast with Andrew, Emily. I ate oatmeal.\"\n43551,2022/11/21,\"I had lunch with Layla, Piper, Nevaeh, Nora, Olivia, Avery, Hazel, Kinsley, Claire. I ate pasta.\",\"I had lunch with Layla, Piper, Nevaeh, Nora, Olivia, Avery, Hazel, Kinsley, Claire. I ate pasta.\"\n43552,2022/11/21,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n43553,2022/11/21,I talked to Claire for 55 minutes in the morning.,I talked to Claire for 55 minutes in the morning.\n43554,2022/11/21,\"I spent 38 talking to Hazel, Nevaeh on various topics late in the evening.\",\"I spent 38 talking to Hazel, Nevaeh on various topics late in the evening.\"\n43555,2022/11/21,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n43556,2022/11/21,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n43557,2022/11/22,\"I went grocery shopping with Kinsley, Nora, Layla, Olivia, Rylee, Claire. I bought some bananas, mango juice, orange juice, mineral water, and facial wash, toothpaste\",\"I went grocery shopping with Kinsley, Nora, Layla, Olivia, Rylee, Claire. I bought some bananas, mango juice, orange juice, mineral water, and facial wash, toothpaste\"\n43558,2022/11/22,I did weight lifting on 2022/11/22.,I did weight lifting on 2022/11/22.\n43559,2022/11/22,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n43560,2022/11/22,\"I had sushi for lunch with Claire, Nora, Eva, Hazel, Avery, Lydia, Piper, Rylee, Piper, Layla\",\"I had sushi for lunch with Claire, Nora, Eva, Hazel, Avery, Lydia, Piper, Rylee, Piper, Layla\"\n43561,2022/11/22,I ate indian food for dinner.,I ate indian food for dinner.\n43562,2022/11/22,\"I spent 11 talking to Claire, Avery, Hazel on various topics during lunch hours.\",\"I spent 11 talking to Claire, Avery, Hazel on various topics during lunch hours.\"\n43563,2022/11/22,\"I talked to Kinsley, Nevaeh, Piper for 37 minutes in the early evening.\",\"I talked to Kinsley, Nevaeh, Piper for 37 minutes in the early evening.\"\n43564,2022/11/22,\"I spent 32 talking to Claire, Avery on various topics in the early afternoon.\",\"I spent 32 talking to Claire, Avery on various topics in the early afternoon.\"\n43565,2022/11/22,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n43566,2022/11/22,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n43567,2022/11/23,I really enjoyed working out on 2022/11/23,I really enjoyed working out on 2022/11/23\n43568,2022/11/23,I did running on 2022/11/23.,I did running on 2022/11/23.\n43569,2022/11/23,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n43570,2022/11/23,I had lunch with Andrew. I ate chinese food.,I had lunch with Andrew. I ate chinese food.\n43571,2022/11/23,I had sandwich for dinner with Andrew,I had sandwich for dinner with Andrew\n43572,2022/11/23,\"I talked to Eva, Piper, Avery, Olivia for 20 minutes in the early afternoon.\",\"I talked to Eva, Piper, Avery, Olivia for 20 minutes in the early afternoon.\"\n43573,2022/11/23,\"I spent 8 talking to Claire, Piper, Eva on various topics late in the evening.\",\"I spent 8 talking to Claire, Piper, Eva on various topics late in the evening.\"\n43574,2022/11/23,\"I spent 12 talking to Layla, Nora, Kinsley on various topics late in the evening.\",\"I spent 12 talking to Layla, Nora, Kinsley on various topics late in the evening.\"\n43575,2022/11/23,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n43576,2022/11/23,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n43577,2022/11/24,I went on a date with Ryan on 2022/11/24 at a boba shop,I went on a date with Ryan on 2022/11/24 at a boba shop\n43578,2022/11/24,I did swimming on 2022/11/24.,I did swimming on 2022/11/24.\n43579,2022/11/24,I had cereals for breakfast with Benjamin,I had cereals for breakfast with Benjamin\n43580,2022/11/24,I ate chinese food for lunch.,I ate chinese food for lunch.\n43581,2022/11/24,I prepare tacos for dinner.,I prepare tacos for dinner.\n43582,2022/11/24,\"I spent 24 talking to Kinsley, Hazel on various topics in the morning.\",\"I spent 24 talking to Kinsley, Hazel on various topics in the morning.\"\n43583,2022/11/24,\"I spent 30 talking to Claire, Nora, Piper on various topics in the early evening.\",\"I spent 30 talking to Claire, Nora, Piper on various topics in the early evening.\"\n43584,2022/11/24,\"I talked to Eva, Lydia, Nevaeh for 21 minutes in the early afternoon.\",\"I talked to Eva, Lydia, Nevaeh for 21 minutes in the early afternoon.\"\n43585,2022/11/24,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n43586,2022/11/24,I watched a movie for 54 minutes on TV today.,I watched a movie for 54 minutes on TV today.\n43587,2022/11/25,I did swimming on 2022/11/25.,I did swimming on 2022/11/25.\n43588,2022/11/25,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n43589,2022/11/25,\"I had lunch with Avery, Benjamin, Jackson. I ate chinese food.\",\"I had lunch with Avery, Benjamin, Jackson. I ate chinese food.\"\n43590,2022/11/25,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n43591,2022/11/25,\"I talked to Olivia, Piper for 44 minutes during lunch hours.\",\"I talked to Olivia, Piper for 44 minutes during lunch hours.\"\n43592,2022/11/25,\"I spent 53 talking to Olivia, Nevaeh, Layla on various topics late in the evening.\",\"I spent 53 talking to Olivia, Nevaeh, Layla on various topics late in the evening.\"\n43593,2022/11/25,\"I talked to Eva, Piper for 37 minutes late in the evening.\",\"I talked to Eva, Piper for 37 minutes late in the evening.\"\n43594,2022/11/25,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n43595,2022/11/25,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n43596,2022/11/26,I did swimming on 2022/11/26.,I did swimming on 2022/11/26.\n43597,2022/11/26,\"I had pancakes for breakfast with Eva, Piper, Hazel, Nora, Piper, Layla, Nevaeh, Rylee, Olivia, Avery, Claire, Kinsley, Lydia\",\"I had pancakes for breakfast with Eva, Piper, Hazel, Nora, Piper, Layla, Nevaeh, Rylee, Olivia, Avery, Claire, Kinsley, Lydia\"\n43598,2022/11/26,\"I had lunch with Emily, Kayden. I ate sushi.\",\"I had lunch with Emily, Kayden. I ate sushi.\"\n43599,2022/11/26,I prepare pasta for dinner.,I prepare pasta for dinner.\n43600,2022/11/26,\"I spent 51 talking to Olivia, Kinsley on various topics in the early evening.\",\"I spent 51 talking to Olivia, Kinsley on various topics in the early evening.\"\n43601,2022/11/26,\"I spent 32 talking to Piper, Claire, Eva on various topics in the late afternoon.\",\"I spent 32 talking to Piper, Claire, Eva on various topics in the late afternoon.\"\n43602,2022/11/26,\"I talked to Hazel, Lydia, Eva, Avery for 26 minutes during lunch hours.\",\"I talked to Hazel, Lydia, Eva, Avery for 26 minutes during lunch hours.\"\n43603,2022/11/26,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n43604,2022/11/26,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n43605,2022/11/27,\"I had breakfast with Piper, Lydia, Hazel, Piper, Avery, Kinsley, Layla, Rylee, Eva. I ate cereals.\",\"I had breakfast with Piper, Lydia, Hazel, Piper, Avery, Kinsley, Layla, Rylee, Eva. I ate cereals.\"\n43606,2022/11/27,\"I had indian food for lunch with Hazel, Nora, Avery, Kinsley\",\"I had indian food for lunch with Hazel, Nora, Avery, Kinsley\"\n43607,2022/11/27,\"I had fish and chips for dinner with Andrew, Kayden, Carter, Emily\",\"I had fish and chips for dinner with Andrew, Kayden, Carter, Emily\"\n43608,2022/11/27,\"I spent 8 talking to Rylee, Claire, Kinsley, Nevaeh on various topics in the late afternoon.\",\"I spent 8 talking to Rylee, Claire, Kinsley, Nevaeh on various topics in the late afternoon.\"\n43609,2022/11/27,I talked to Piper for 23 minutes in the morning.,I talked to Piper for 23 minutes in the morning.\n43610,2022/11/27,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n43611,2022/11/27,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n43612,2022/11/28,I did hiking on 2022/11/28.,I did hiking on 2022/11/28.\n43613,2022/11/28,I had breakfast with Willow. I ate oatmeal.,I had breakfast with Willow. I ate oatmeal.\n43614,2022/11/28,\"I had steak for lunch with Nevaeh, Olivia, Avery, Nora, Claire, Lydia, Layla, Hazel\",\"I had steak for lunch with Nevaeh, Olivia, Avery, Nora, Claire, Lydia, Layla, Hazel\"\n43615,2022/11/28,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n43616,2022/11/28,\"I talked to Claire, Olivia for 42 minutes late in the evening.\",\"I talked to Claire, Olivia for 42 minutes late in the evening.\"\n43617,2022/11/28,\"I talked to Kinsley, Avery, Hazel, Layla for 14 minutes in the late afternoon.\",\"I talked to Kinsley, Avery, Hazel, Layla for 14 minutes in the late afternoon.\"\n43618,2022/11/28,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n43619,2022/11/28,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n43620,2022/11/29,I went on a date with Jayden on 2022/11/29 at a boba shop,I went on a date with Jayden on 2022/11/29 at a boba shop\n43621,2022/11/29,\"I spent time meditation on 2022/11/29 with Emily, Andrew.\",\"I spent time meditation on 2022/11/29 with Emily, Andrew.\"\n43622,2022/11/29,\"I bought some mandarins, guava, tea, pineapple juice, chocolate milk, toothpaste, toothbrush online.\",\"I bought some mandarins, guava, tea, pineapple juice, chocolate milk, toothpaste, toothbrush online.\"\n43623,2022/11/29,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n43624,2022/11/29,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n43625,2022/11/29,I ate sushi for dinner.,I ate sushi for dinner.\n43626,2022/11/29,I spent 40 talking to Nora on various topics late in the evening.,I spent 40 talking to Nora on various topics late in the evening.\n43627,2022/11/29,\"I talked to Lydia, Avery, Nevaeh for 22 minutes in the morning.\",\"I talked to Lydia, Avery, Nevaeh for 22 minutes in the morning.\"\n43628,2022/11/29,I talked to Kinsley for 9 minutes late in the evening.,I talked to Kinsley for 9 minutes late in the evening.\n43629,2022/11/29,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n43630,2022/11/29,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n43631,2022/11/30,I did HIIT on 2022/11/30.,I did HIIT on 2022/11/30.\n43632,2022/11/30,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n43633,2022/11/30,I prepare a burger for lunch.,I prepare a burger for lunch.\n43634,2022/11/30,I had chinese food for dinner with Andrew,I had chinese food for dinner with Andrew\n43635,2022/11/30,\"I talked to Layla, Avery, Kinsley, Lydia for 37 minutes in the morning.\",\"I talked to Layla, Avery, Kinsley, Lydia for 37 minutes in the morning.\"\n43636,2022/11/30,\"I talked to Rylee, Nevaeh, Lydia for 25 minutes in the late afternoon.\",\"I talked to Rylee, Nevaeh, Lydia for 25 minutes in the late afternoon.\"\n43637,2022/11/30,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n43638,2022/11/30,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n43639,2022/12/01,I did HIIT on 2022/12/01.,I did HIIT on 2022/12/01.\n43640,2022/12/01,\"I had cereals for breakfast with Emily, Carter, Kayden, Andrew\",\"I had cereals for breakfast with Emily, Carter, Kayden, Andrew\"\n43641,2022/12/01,\"I had steak for lunch with Olivia, Claire, Avery\",\"I had steak for lunch with Olivia, Claire, Avery\"\n43642,2022/12/01,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n43643,2022/12/01,I spent 22 talking to Olivia on various topics in the early evening.,I spent 22 talking to Olivia on various topics in the early evening.\n43644,2022/12/01,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n43645,2022/12/01,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n43646,2022/12/02,I did running on 2022/12/02.,I did running on 2022/12/02.\n43647,2022/12/02,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n43648,2022/12/02,I prepare tacos for lunch.,I prepare tacos for lunch.\n43649,2022/12/02,\"I had pasta for dinner with Layla, Piper, Lydia, Olivia, Kinsley, Nora, Nevaeh, Rylee, Hazel, Avery, Piper, Eva, Claire\",\"I had pasta for dinner with Layla, Piper, Lydia, Olivia, Kinsley, Nora, Nevaeh, Rylee, Hazel, Avery, Piper, Eva, Claire\"\n43650,2022/12/02,\"I spent 5 talking to Piper, Hazel, Claire, Eva on various topics during lunch hours.\",\"I spent 5 talking to Piper, Hazel, Claire, Eva on various topics during lunch hours.\"\n43651,2022/12/02,\"I spent 54 talking to Olivia, Hazel on various topics in the early evening.\",\"I spent 54 talking to Olivia, Hazel on various topics in the early evening.\"\n43652,2022/12/02,I spent 47 talking to Claire on various topics in the morning.,I spent 47 talking to Claire on various topics in the morning.\n43653,2022/12/02,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n43654,2022/12/02,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n43655,2022/12/03,\"I went grocery shopping. I bought some guava, mineral water, and shampoo, facial wash, paper towel, shaving cream\",\"I went grocery shopping. I bought some guava, mineral water, and shampoo, facial wash, paper towel, shaving cream\"\n43656,2022/12/03,I did running on 2022/12/03.,I did running on 2022/12/03.\n43657,2022/12/03,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n43658,2022/12/03,I ate tacos for lunch.,I ate tacos for lunch.\n43659,2022/12/03,I had dinner with Emily. I ate a burger.,I had dinner with Emily. I ate a burger.\n43660,2022/12/03,\"I spent 28 talking to Kinsley, Olivia on various topics in the early afternoon.\",\"I spent 28 talking to Kinsley, Olivia on various topics in the early afternoon.\"\n43661,2022/12/03,\"I spent 14 talking to Eva, Nevaeh, Hazel on various topics in the early evening.\",\"I spent 14 talking to Eva, Nevaeh, Hazel on various topics in the early evening.\"\n43662,2022/12/03,\"I spent 19 talking to Piper, Lydia, Nora on various topics in the morning.\",\"I spent 19 talking to Piper, Lydia, Nora on various topics in the morning.\"\n43663,2022/12/03,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n43664,2022/12/03,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n43665,2022/12/04,I did running on 2022/12/04.,I did running on 2022/12/04.\n43666,2022/12/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n43667,2022/12/04,I ate sushi for lunch.,I ate sushi for lunch.\n43668,2022/12/04,\"I had sandwich for dinner with Emily, Andrew, Carter, Kayden\",\"I had sandwich for dinner with Emily, Andrew, Carter, Kayden\"\n43669,2022/12/04,\"I talked to Nora, Piper, Lydia for 23 minutes in the morning.\",\"I talked to Nora, Piper, Lydia for 23 minutes in the morning.\"\n43670,2022/12/04,\"I talked to Nevaeh, Eva for 39 minutes in the early evening.\",\"I talked to Nevaeh, Eva for 39 minutes in the early evening.\"\n43671,2022/12/04,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n43672,2022/12/04,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n43673,2022/12/05,\"I really enjoyed cooking air-fryer brats, cheesy ham chowder on 2022/12/05 with Emily, Andrew, Carter at my place\",\"I really enjoyed cooking air-fryer brats, cheesy ham chowder on 2022/12/05 with Emily, Andrew, Carter at my place\"\n43674,2022/12/05,I did swimming on 2022/12/05.,I did swimming on 2022/12/05.\n43675,2022/12/05,\"I had breakfast with Andrew, Kayden, Carter, Emily. I ate oatmeal.\",\"I had breakfast with Andrew, Kayden, Carter, Emily. I ate oatmeal.\"\n43676,2022/12/05,\"I had indian food for lunch with Andrew, Carter, Emily, Kayden\",\"I had indian food for lunch with Andrew, Carter, Emily, Kayden\"\n43677,2022/12/05,I ate sushi for dinner.,I ate sushi for dinner.\n43678,2022/12/05,\"I talked to Piper, Avery, Lydia for 27 minutes in the morning.\",\"I talked to Piper, Avery, Lydia for 27 minutes in the morning.\"\n43679,2022/12/05,\"I talked to Hazel, Claire, Layla, Lydia for 47 minutes in the early evening.\",\"I talked to Hazel, Claire, Layla, Lydia for 47 minutes in the early evening.\"\n43680,2022/12/05,\"I talked to Rylee, Lydia, Claire, Kinsley for 43 minutes in the early afternoon.\",\"I talked to Rylee, Lydia, Claire, Kinsley for 43 minutes in the early afternoon.\"\n43681,2022/12/05,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n43682,2022/12/05,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n43683,2022/12/06,\"I was cooking contest-winning broccoli chicken casserole on 2022/12/06 with Willow, Jackson at my place\",\"I was cooking contest-winning broccoli chicken casserole on 2022/12/06 with Willow, Jackson at my place\"\n43684,2022/12/06,I did weight lifting on 2022/12/06.,I did weight lifting on 2022/12/06.\n43685,2022/12/06,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n43686,2022/12/06,\"I had lunch with Rylee, Claire, Lydia, Piper, Kinsley, Avery, Eva, Layla, Piper. I ate tacos.\",\"I had lunch with Rylee, Claire, Lydia, Piper, Kinsley, Avery, Eva, Layla, Piper. I ate tacos.\"\n43687,2022/12/06,\"I had dinner with Kayden, Andrew, Emily. I ate sandwich.\",\"I had dinner with Kayden, Andrew, Emily. I ate sandwich.\"\n43688,2022/12/06,\"I talked to Hazel, Rylee, Kinsley, Olivia for 19 minutes late in the evening.\",\"I talked to Hazel, Rylee, Kinsley, Olivia for 19 minutes late in the evening.\"\n43689,2022/12/06,\"I spent 21 talking to Nevaeh, Piper, Hazel, Nora on various topics in the morning.\",\"I spent 21 talking to Nevaeh, Piper, Hazel, Nora on various topics in the morning.\"\n43690,2022/12/06,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n43691,2022/12/06,I watched a documentary for 50 minutes on TV today.,I watched a documentary for 50 minutes on TV today.\n43692,2022/12/07,\"I was baking brownies, homemade toaster pastries on 2022/12/07 with Andrew at my place\",\"I was baking brownies, homemade toaster pastries on 2022/12/07 with Andrew at my place\"\n43693,2022/12/07,I did biking on 2022/12/07.,I did biking on 2022/12/07.\n43694,2022/12/07,\"I had peanut-butter-jam for breakfast with Nora, Olivia, Nevaeh\",\"I had peanut-butter-jam for breakfast with Nora, Olivia, Nevaeh\"\n43695,2022/12/07,I ate sushi for lunch.,I ate sushi for lunch.\n43696,2022/12/07,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n43697,2022/12/07,\"I talked to Nora, Hazel for 24 minutes in the morning.\",\"I talked to Nora, Hazel for 24 minutes in the morning.\"\n43698,2022/12/07,\"I talked to Piper, Nevaeh for 53 minutes during lunch hours.\",\"I talked to Piper, Nevaeh for 53 minutes during lunch hours.\"\n43699,2022/12/07,\"I talked to Nora, Lydia, Nevaeh, Olivia for 8 minutes during lunch hours.\",\"I talked to Nora, Lydia, Nevaeh, Olivia for 8 minutes during lunch hours.\"\n43700,2022/12/07,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n43701,2022/12/07,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n43702,2022/12/08,\"On 2022/12/08, I took Caleb on a date to a boba shop\",\"On 2022/12/08, I took Caleb on a date to a boba shop\"\n43703,2022/12/08,I really enjoyed gardening on 2022/12/08,I really enjoyed gardening on 2022/12/08\n43704,2022/12/08,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n43705,2022/12/08,\"I had lunch with Piper, Nevaeh, Lydia, Olivia, Avery, Nora, Hazel, Layla, Claire. I ate sandwich.\",\"I had lunch with Piper, Nevaeh, Lydia, Olivia, Avery, Nora, Hazel, Layla, Claire. I ate sandwich.\"\n43706,2022/12/08,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n43707,2022/12/08,\"I spent 34 talking to Claire, Lydia, Rylee on various topics in the morning.\",\"I spent 34 talking to Claire, Lydia, Rylee on various topics in the morning.\"\n43708,2022/12/08,\"I talked to Layla, Claire, Avery, Hazel for 11 minutes in the morning.\",\"I talked to Layla, Claire, Avery, Hazel for 11 minutes in the morning.\"\n43709,2022/12/08,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n43710,2022/12/08,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n43711,2022/12/09,I did HIIT on 2022/12/09.,I did HIIT on 2022/12/09.\n43712,2022/12/09,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n43713,2022/12/09,I prepare indian food for lunch.,I prepare indian food for lunch.\n43714,2022/12/09,I ate sushi for dinner.,I ate sushi for dinner.\n43715,2022/12/09,\"I spent 21 talking to Lydia, Eva, Kinsley, Nevaeh on various topics late in the evening.\",\"I spent 21 talking to Lydia, Eva, Kinsley, Nevaeh on various topics late in the evening.\"\n43716,2022/12/09,\"I talked to Kinsley, Hazel, Claire for 14 minutes in the early afternoon.\",\"I talked to Kinsley, Hazel, Claire for 14 minutes in the early afternoon.\"\n43717,2022/12/09,\"I talked to Lydia, Piper for 52 minutes in the early evening.\",\"I talked to Lydia, Piper for 52 minutes in the early evening.\"\n43718,2022/12/09,I talked to Kinsley for 21 minutes in the early evening.,I talked to Kinsley for 21 minutes in the early evening.\n43719,2022/12/09,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n43720,2022/12/09,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n43721,2022/12/10,\"On 2022/12/10, I took Logan on a date to a boba shop\",\"On 2022/12/10, I took Logan on a date to a boba shop\"\n43722,2022/12/10,\"I went grocery shopping. I bought some blackberries, nectarines, chocolate milk, orange juice, coffee, pineapple juice, and mouthwash, toothbrush, toilet paper\",\"I went grocery shopping. I bought some blackberries, nectarines, chocolate milk, orange juice, coffee, pineapple juice, and mouthwash, toothbrush, toilet paper\"\n43723,2022/12/10,\"I had breakfast with Kayden, Emily, Andrew. I ate cereals.\",\"I had breakfast with Kayden, Emily, Andrew. I ate cereals.\"\n43724,2022/12/10,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n43725,2022/12/10,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n43726,2022/12/10,I spent 33 talking to Kinsley on various topics in the early evening.,I spent 33 talking to Kinsley on various topics in the early evening.\n43727,2022/12/10,\"I talked to Rylee, Nevaeh, Avery, Hazel for 14 minutes in the late afternoon.\",\"I talked to Rylee, Nevaeh, Avery, Hazel for 14 minutes in the late afternoon.\"\n43728,2022/12/10,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n43729,2022/12/10,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n43730,2022/12/11,I did weight lifting on 2022/12/11.,I did weight lifting on 2022/12/11.\n43731,2022/12/11,\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate pancakes.\",\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate pancakes.\"\n43732,2022/12/11,I ate pasta for lunch.,I ate pasta for lunch.\n43733,2022/12/11,I had dinner with Carter. I ate tacos.,I had dinner with Carter. I ate tacos.\n43734,2022/12/11,\"I talked to Eva, Piper, Olivia, Layla for 8 minutes in the early evening.\",\"I talked to Eva, Piper, Olivia, Layla for 8 minutes in the early evening.\"\n43735,2022/12/11,\"I spent 18 talking to Hazel, Rylee, Avery on various topics in the early afternoon.\",\"I spent 18 talking to Hazel, Rylee, Avery on various topics in the early afternoon.\"\n43736,2022/12/11,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n43737,2022/12/11,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n43738,2022/12/12,\"I was cooking beef and broccoli, creamed garden potatoes and peas on 2022/12/12 with Piper, Rylee, Layla, Nora at my place\",\"I was cooking beef and broccoli, creamed garden potatoes and peas on 2022/12/12 with Piper, Rylee, Layla, Nora at my place\"\n43739,2022/12/12,I did weight lifting on 2022/12/12.,I did weight lifting on 2022/12/12.\n43740,2022/12/12,\"I had breakfast with Emily, Kayden. I ate toast and cheese.\",\"I had breakfast with Emily, Kayden. I ate toast and cheese.\"\n43741,2022/12/12,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n43742,2022/12/12,\"I had dinner with Kayden, Carter, Emily, Andrew. I ate indian food.\",\"I had dinner with Kayden, Carter, Emily, Andrew. I ate indian food.\"\n43743,2022/12/12,I spent 25 talking to Rylee on various topics in the early evening.,I spent 25 talking to Rylee on various topics in the early evening.\n43744,2022/12/12,\"I talked to Avery, Nora, Piper for 9 minutes late in the evening.\",\"I talked to Avery, Nora, Piper for 9 minutes late in the evening.\"\n43745,2022/12/12,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n43746,2022/12/12,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n43747,2022/12/13,\"I bought some oranges, sports drinks, milk, tea, soda, toothpaste, conditioner, body lotion, paper towel online.\",\"I bought some oranges, sports drinks, milk, tea, soda, toothpaste, conditioner, body lotion, paper towel online.\"\n43748,2022/12/13,I ate cereals for breakfast.,I ate cereals for breakfast.\n43749,2022/12/13,\"I had lunch with Avery, Jackson, Benjamin. I ate fish and chips.\",\"I had lunch with Avery, Jackson, Benjamin. I ate fish and chips.\"\n43750,2022/12/13,I ate indian food for dinner.,I ate indian food for dinner.\n43751,2022/12/13,\"I spent 23 talking to Claire, Hazel on various topics in the morning.\",\"I spent 23 talking to Claire, Hazel on various topics in the morning.\"\n43752,2022/12/13,\"I talked to Kinsley, Layla, Nevaeh, Claire for 38 minutes in the late afternoon.\",\"I talked to Kinsley, Layla, Nevaeh, Claire for 38 minutes in the late afternoon.\"\n43753,2022/12/13,\"I talked to Layla, Nevaeh for 34 minutes in the morning.\",\"I talked to Layla, Nevaeh for 34 minutes in the morning.\"\n43754,2022/12/13,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n43755,2022/12/13,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n43756,2022/12/14,I entertained Hazel at my place on 2022/12/14 and bake cranberry apple danish,I entertained Hazel at my place on 2022/12/14 and bake cranberry apple danish\n43757,2022/12/14,I did weight lifting on 2022/12/14.,I did weight lifting on 2022/12/14.\n43758,2022/12/14,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n43759,2022/12/14,I prepare a burger for lunch.,I prepare a burger for lunch.\n43760,2022/12/14,I had sandwich for dinner with Avery,I had sandwich for dinner with Avery\n43761,2022/12/14,\"I spent 14 talking to Nora, Rylee, Piper, Nevaeh on various topics in the morning.\",\"I spent 14 talking to Nora, Rylee, Piper, Nevaeh on various topics in the morning.\"\n43762,2022/12/14,\"I talked to Nora, Eva for 45 minutes during lunch hours.\",\"I talked to Nora, Eva for 45 minutes during lunch hours.\"\n43763,2022/12/14,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n43764,2022/12/14,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n43765,2022/12/15,I did swimming on 2022/12/15.,I did swimming on 2022/12/15.\n43766,2022/12/15,\"I had oatmeal for breakfast with Nevaeh, Eva, Kinsley, Hazel, Lydia, Avery, Claire, Olivia, Layla\",\"I had oatmeal for breakfast with Nevaeh, Eva, Kinsley, Hazel, Lydia, Avery, Claire, Olivia, Layla\"\n43767,2022/12/15,I ate tacos for lunch.,I ate tacos for lunch.\n43768,2022/12/15,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n43769,2022/12/15,\"I talked to Lydia, Piper, Rylee, Layla for 29 minutes in the early evening.\",\"I talked to Lydia, Piper, Rylee, Layla for 29 minutes in the early evening.\"\n43770,2022/12/15,\"I spent 22 talking to Kinsley, Nora on various topics late in the evening.\",\"I spent 22 talking to Kinsley, Nora on various topics late in the evening.\"\n43771,2022/12/15,\"I talked to Layla, Nevaeh, Olivia, Hazel for 10 minutes in the early afternoon.\",\"I talked to Layla, Nevaeh, Olivia, Hazel for 10 minutes in the early afternoon.\"\n43772,2022/12/15,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n43773,2022/12/15,I spent 27 minutes watching a documentary on TV today.,I spent 27 minutes watching a documentary on TV today.\n43774,2022/12/16,I went on a date with Rylee on 2022/12/16 at a coffee Shop,I went on a date with Rylee on 2022/12/16 at a coffee Shop\n43775,2022/12/16,I did swimming on 2022/12/16.,I did swimming on 2022/12/16.\n43776,2022/12/16,\"I had breakfast with Claire, Hazel, Olivia, Rylee, Piper, Avery, Kinsley, Nora, Lydia, Nevaeh, Eva, Layla, Piper. I ate peanut-butter-jam.\",\"I had breakfast with Claire, Hazel, Olivia, Rylee, Piper, Avery, Kinsley, Nora, Lydia, Nevaeh, Eva, Layla, Piper. I ate peanut-butter-jam.\"\n43777,2022/12/16,\"I had sandwich for lunch with Kayden, Andrew, Carter\",\"I had sandwich for lunch with Kayden, Andrew, Carter\"\n43778,2022/12/16,\"I had dinner with Emily, Carter, Andrew. I ate sushi.\",\"I had dinner with Emily, Carter, Andrew. I ate sushi.\"\n43779,2022/12/16,\"I talked to Layla, Piper, Avery for 47 minutes in the early evening.\",\"I talked to Layla, Piper, Avery for 47 minutes in the early evening.\"\n43780,2022/12/16,\"I talked to Kinsley, Eva for 29 minutes in the late afternoon.\",\"I talked to Kinsley, Eva for 29 minutes in the late afternoon.\"\n43781,2022/12/16,\"I talked to Claire, Avery, Piper for 28 minutes in the early afternoon.\",\"I talked to Claire, Avery, Piper for 28 minutes in the early afternoon.\"\n43782,2022/12/16,\"I spent 47 talking to Nora, Layla, Nevaeh on various topics in the late afternoon.\",\"I spent 47 talking to Nora, Layla, Nevaeh on various topics in the late afternoon.\"\n43783,2022/12/16,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n43784,2022/12/16,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n43785,2022/12/17,I did biking on 2022/12/17.,I did biking on 2022/12/17.\n43786,2022/12/17,\"I had oatmeal for breakfast with Andrew, Emily, Kayden, Carter\",\"I had oatmeal for breakfast with Andrew, Emily, Kayden, Carter\"\n43787,2022/12/17,\"I had sushi for lunch with Lydia, Layla, Piper, Eva, Nora, Olivia, Claire, Kinsley\",\"I had sushi for lunch with Lydia, Layla, Piper, Eva, Nora, Olivia, Claire, Kinsley\"\n43788,2022/12/17,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n43789,2022/12/17,\"I talked to Piper, Rylee, Lydia, Piper for 5 minutes in the early evening.\",\"I talked to Piper, Rylee, Lydia, Piper for 5 minutes in the early evening.\"\n43790,2022/12/17,\"I spent 19 talking to Lydia, Hazel, Rylee on various topics in the early evening.\",\"I spent 19 talking to Lydia, Hazel, Rylee on various topics in the early evening.\"\n43791,2022/12/17,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n43792,2022/12/17,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n43793,2022/12/18,\"I really enjoyed cooking ground turkey vegetable soup, salmon chowder, vietnamese coffee on 2022/12/18 with Olivia, Kinsley, Rylee, Layla at my place\",\"I really enjoyed cooking ground turkey vegetable soup, salmon chowder, vietnamese coffee on 2022/12/18 with Olivia, Kinsley, Rylee, Layla at my place\"\n43794,2022/12/18,I went on a date with Aaron on 2022/12/18 at a boba shop,I went on a date with Aaron on 2022/12/18 at a boba shop\n43795,2022/12/18,I did HIIT on 2022/12/18.,I did HIIT on 2022/12/18.\n43796,2022/12/18,\"I had breakfast with Avery, Benjamin. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Benjamin. I ate peanut-butter-jam.\"\n43797,2022/12/18,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n43798,2022/12/18,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n43799,2022/12/18,\"I talked to Piper, Claire for 42 minutes during lunch hours.\",\"I talked to Piper, Claire for 42 minutes during lunch hours.\"\n43800,2022/12/18,\"I spent 22 talking to Claire, Eva, Lydia on various topics during lunch hours.\",\"I spent 22 talking to Claire, Eva, Lydia on various topics during lunch hours.\"\n43801,2022/12/18,I spent 19 talking to Nora on various topics in the early evening.,I spent 19 talking to Nora on various topics in the early evening.\n43802,2022/12/18,\"I spent 20 talking to Rylee, Layla, Avery on various topics in the early evening.\",\"I spent 20 talking to Rylee, Layla, Avery on various topics in the early evening.\"\n43803,2022/12/18,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n43804,2022/12/18,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n43805,2022/12/19,\"I went grocery shopping with Eva, Olivia, Nora, Avery, Layla, Kinsley. I bought some guava, blackberries, clementines, pears, apple juice, guava juice, and mouth wash, shaving cream\",\"I went grocery shopping with Eva, Olivia, Nora, Avery, Layla, Kinsley. I bought some guava, blackberries, clementines, pears, apple juice, guava juice, and mouth wash, shaving cream\"\n43806,2022/12/19,I did hiking on 2022/12/19.,I did hiking on 2022/12/19.\n43807,2022/12/19,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n43808,2022/12/19,\"I had sushi for lunch with Carter, Andrew, Emily\",\"I had sushi for lunch with Carter, Andrew, Emily\"\n43809,2022/12/19,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n43810,2022/12/19,I talked to Lydia for 30 minutes late in the evening.,I talked to Lydia for 30 minutes late in the evening.\n43811,2022/12/19,\"I spent 7 talking to Olivia, Claire on various topics in the early evening.\",\"I spent 7 talking to Olivia, Claire on various topics in the early evening.\"\n43812,2022/12/19,I spent 11 talking to Layla on various topics during lunch hours.,I spent 11 talking to Layla on various topics during lunch hours.\n43813,2022/12/19,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n43814,2022/12/19,I watched news for 35 minutes on TV today.,I watched news for 35 minutes on TV today.\n43815,2022/12/20,\"I entertained Kayden at my place on 2022/12/20 and cook crockpot spareribs, cashew chicken , swedish meatball recipe\",\"I entertained Kayden at my place on 2022/12/20 and cook crockpot spareribs, cashew chicken , swedish meatball recipe\"\n43816,2022/12/20,I did biking on 2022/12/20.,I did biking on 2022/12/20.\n43817,2022/12/20,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n43818,2022/12/20,\"I had lunch with Olivia, Piper, Avery, Lydia, Kinsley, Nevaeh, Hazel, Layla, Piper. I ate steak.\",\"I had lunch with Olivia, Piper, Avery, Lydia, Kinsley, Nevaeh, Hazel, Layla, Piper. I ate steak.\"\n43819,2022/12/20,I ate a burger for dinner.,I ate a burger for dinner.\n43820,2022/12/20,\"I talked to Avery, Claire, Hazel for 55 minutes in the early evening.\",\"I talked to Avery, Claire, Hazel for 55 minutes in the early evening.\"\n43821,2022/12/20,\"I talked to Nevaeh, Rylee, Nora for 21 minutes during lunch hours.\",\"I talked to Nevaeh, Rylee, Nora for 21 minutes during lunch hours.\"\n43822,2022/12/20,I spent 20 talking to Lydia on various topics during lunch hours.,I spent 20 talking to Lydia on various topics during lunch hours.\n43823,2022/12/20,\"I talked to Kinsley, Claire, Avery, Hazel for 36 minutes in the early evening.\",\"I talked to Kinsley, Claire, Avery, Hazel for 36 minutes in the early evening.\"\n43824,2022/12/20,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n43825,2022/12/20,I watched news for 29 minutes on TV today.,I watched news for 29 minutes on TV today.\n43826,2022/12/21,I did biking on 2022/12/21.,I did biking on 2022/12/21.\n43827,2022/12/21,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n43828,2022/12/21,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n43829,2022/12/21,\"I had dinner with Avery, Layla, Lydia, Piper, Piper, Olivia, Nevaeh, Eva, Nora, Hazel, Rylee. I ate steak.\",\"I had dinner with Avery, Layla, Lydia, Piper, Piper, Olivia, Nevaeh, Eva, Nora, Hazel, Rylee. I ate steak.\"\n43830,2022/12/21,\"I talked to Nora, Rylee, Piper, Nevaeh for 40 minutes late in the evening.\",\"I talked to Nora, Rylee, Piper, Nevaeh for 40 minutes late in the evening.\"\n43831,2022/12/21,\"I talked to Olivia, Avery, Hazel, Layla for 49 minutes in the early afternoon.\",\"I talked to Olivia, Avery, Hazel, Layla for 49 minutes in the early afternoon.\"\n43832,2022/12/21,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n43833,2022/12/21,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n43834,2022/12/22,\"I bought some mangos, guava, coffee, mango juice, apple juice, milk, toilet paper, shampoo online.\",\"I bought some mangos, guava, coffee, mango juice, apple juice, milk, toilet paper, shampoo online.\"\n43835,2022/12/22,I did hiking on 2022/12/22.,I did hiking on 2022/12/22.\n43836,2022/12/22,\"I had peanut-butter-jam for breakfast with Carter, Kayden, Andrew\",\"I had peanut-butter-jam for breakfast with Carter, Kayden, Andrew\"\n43837,2022/12/22,I ate a burger for lunch.,I ate a burger for lunch.\n43838,2022/12/22,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n43839,2022/12/22,\"I talked to Lydia, Piper, Claire for 11 minutes late in the evening.\",\"I talked to Lydia, Piper, Claire for 11 minutes late in the evening.\"\n43840,2022/12/22,\"I talked to Eva, Layla for 29 minutes during lunch hours.\",\"I talked to Eva, Layla for 29 minutes during lunch hours.\"\n43841,2022/12/22,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n43842,2022/12/22,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n43843,2022/12/23,I did running on 2022/12/23.,I did running on 2022/12/23.\n43844,2022/12/23,\"I had pancakes for breakfast with Nora, Piper, Olivia, Avery, Claire, Lydia\",\"I had pancakes for breakfast with Nora, Piper, Olivia, Avery, Claire, Lydia\"\n43845,2022/12/23,\"I had pasta for lunch with Nora, Piper, Eva, Avery, Kinsley, Piper, Layla, Rylee, Nevaeh, Lydia, Olivia\",\"I had pasta for lunch with Nora, Piper, Eva, Avery, Kinsley, Piper, Layla, Rylee, Nevaeh, Lydia, Olivia\"\n43846,2022/12/23,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n43847,2022/12/23,\"I talked to Rylee, Eva, Lydia for 47 minutes in the early afternoon.\",\"I talked to Rylee, Eva, Lydia for 47 minutes in the early afternoon.\"\n43848,2022/12/23,\"I talked to Rylee, Nora, Nevaeh, Claire for 35 minutes in the early evening.\",\"I talked to Rylee, Nora, Nevaeh, Claire for 35 minutes in the early evening.\"\n43849,2022/12/23,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n43850,2022/12/23,I watched a movie for 17 minutes on TV today.,I watched a movie for 17 minutes on TV today.\n43851,2022/12/24,I did HIIT on 2022/12/24.,I did HIIT on 2022/12/24.\n43852,2022/12/24,\"I had breakfast with Andrew, Carter. I ate cereals.\",\"I had breakfast with Andrew, Carter. I ate cereals.\"\n43853,2022/12/24,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n43854,2022/12/24,\"I had a burger for dinner with Kayden, Andrew, Carter\",\"I had a burger for dinner with Kayden, Andrew, Carter\"\n43855,2022/12/24,\"I talked to Nevaeh, Hazel, Avery, Piper for 33 minutes in the early evening.\",\"I talked to Nevaeh, Hazel, Avery, Piper for 33 minutes in the early evening.\"\n43856,2022/12/24,I talked to Eva for 9 minutes during lunch hours.,I talked to Eva for 9 minutes during lunch hours.\n43857,2022/12/24,I spent 25 talking to Eva on various topics in the early afternoon.,I spent 25 talking to Eva on various topics in the early afternoon.\n43858,2022/12/24,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n43859,2022/12/24,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n43860,2022/12/25,I did hiking on 2022/12/25.,I did hiking on 2022/12/25.\n43861,2022/12/25,I ate cereals for breakfast.,I ate cereals for breakfast.\n43862,2022/12/25,\"I had lunch with Lydia, Olivia, Layla, Piper, Eva, Piper, Hazel. I ate tacos.\",\"I had lunch with Lydia, Olivia, Layla, Piper, Eva, Piper, Hazel. I ate tacos.\"\n43863,2022/12/25,\"I had a burger for dinner with Kayden, Carter, Emily\",\"I had a burger for dinner with Kayden, Carter, Emily\"\n43864,2022/12/25,\"I spent 54 talking to Hazel, Lydia on various topics in the early afternoon.\",\"I spent 54 talking to Hazel, Lydia on various topics in the early afternoon.\"\n43865,2022/12/25,\"I spent 46 talking to Piper, Claire, Rylee on various topics in the late afternoon.\",\"I spent 46 talking to Piper, Claire, Rylee on various topics in the late afternoon.\"\n43866,2022/12/25,\"I talked to Nora, Claire for 40 minutes in the early evening.\",\"I talked to Nora, Claire for 40 minutes in the early evening.\"\n43867,2022/12/25,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n43868,2022/12/25,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n43869,2022/12/26,\"On 2022/12/26, I took Elijah on a date to a restaurant\",\"On 2022/12/26, I took Elijah on a date to a restaurant\"\n43870,2022/12/26,\"I went grocery shopping. I bought some mandarins, clementines, orange juice, sports drinks, pineapple juice, tea, and toilet paper, shampoo, mouthwash, mouth wash\",\"I went grocery shopping. I bought some mandarins, clementines, orange juice, sports drinks, pineapple juice, tea, and toilet paper, shampoo, mouthwash, mouth wash\"\n43871,2022/12/26,I did HIIT on 2022/12/26.,I did HIIT on 2022/12/26.\n43872,2022/12/26,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n43873,2022/12/26,I had steak for lunch with Emily,I had steak for lunch with Emily\n43874,2022/12/26,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n43875,2022/12/26,\"I spent 23 talking to Rylee, Layla, Eva, Lydia on various topics in the early evening.\",\"I spent 23 talking to Rylee, Layla, Eva, Lydia on various topics in the early evening.\"\n43876,2022/12/26,\"I talked to Lydia, Layla, Nora for 31 minutes in the morning.\",\"I talked to Lydia, Layla, Nora for 31 minutes in the morning.\"\n43877,2022/12/26,I spent 9 talking to Piper on various topics in the morning.,I spent 9 talking to Piper on various topics in the morning.\n43878,2022/12/26,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n43879,2022/12/26,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n43880,2022/12/27,I did biking on 2022/12/27.,I did biking on 2022/12/27.\n43881,2022/12/27,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n43882,2022/12/27,I prepare tacos for lunch.,I prepare tacos for lunch.\n43883,2022/12/27,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n43884,2022/12/27,\"I spent 39 talking to Piper, Kinsley, Nevaeh on various topics in the early afternoon.\",\"I spent 39 talking to Piper, Kinsley, Nevaeh on various topics in the early afternoon.\"\n43885,2022/12/27,I spent 19 talking to Claire on various topics during lunch hours.,I spent 19 talking to Claire on various topics during lunch hours.\n43886,2022/12/27,\"I talked to Layla, Lydia, Piper, Avery for 37 minutes during lunch hours.\",\"I talked to Layla, Lydia, Piper, Avery for 37 minutes during lunch hours.\"\n43887,2022/12/27,\"I talked to Nevaeh, Piper, Nora, Lydia for 35 minutes during lunch hours.\",\"I talked to Nevaeh, Piper, Nora, Lydia for 35 minutes during lunch hours.\"\n43888,2022/12/27,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n43889,2022/12/27,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n43890,2022/12/28,\"I had breakfast with Andrew, Kayden. I ate pancakes.\",\"I had breakfast with Andrew, Kayden. I ate pancakes.\"\n43891,2022/12/28,\"I had lunch with Avery, Willow. I ate steak.\",\"I had lunch with Avery, Willow. I ate steak.\"\n43892,2022/12/28,I prepare steak for dinner.,I prepare steak for dinner.\n43893,2022/12/28,\"I spent 25 talking to Kinsley, Piper, Piper on various topics in the morning.\",\"I spent 25 talking to Kinsley, Piper, Piper on various topics in the morning.\"\n43894,2022/12/28,\"I talked to Claire, Hazel, Nora for 35 minutes in the early afternoon.\",\"I talked to Claire, Hazel, Nora for 35 minutes in the early afternoon.\"\n43895,2022/12/28,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n43896,2022/12/28,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n43897,2022/12/29,\"I entertained Kayden, Andrew, Emily, Carter at my place on 2022/12/29 and cook salmon chowder, cube steak and gravy\",\"I entertained Kayden, Andrew, Emily, Carter at my place on 2022/12/29 and cook salmon chowder, cube steak and gravy\"\n43898,2022/12/29,I did running on 2022/12/29.,I did running on 2022/12/29.\n43899,2022/12/29,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n43900,2022/12/29,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n43901,2022/12/29,\"I had indian food for dinner with Benjamin, Willow, Jackson\",\"I had indian food for dinner with Benjamin, Willow, Jackson\"\n43902,2022/12/29,\"I spent 39 talking to Nora, Nevaeh, Avery, Lydia on various topics in the late afternoon.\",\"I spent 39 talking to Nora, Nevaeh, Avery, Lydia on various topics in the late afternoon.\"\n43903,2022/12/29,\"I spent 43 talking to Layla, Piper on various topics late in the evening.\",\"I spent 43 talking to Layla, Piper on various topics late in the evening.\"\n43904,2022/12/29,\"I talked to Piper, Piper, Layla, Avery for 37 minutes late in the evening.\",\"I talked to Piper, Piper, Layla, Avery for 37 minutes late in the evening.\"\n43905,2022/12/29,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n43906,2022/12/29,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n43907,2022/12/30,\"I bought some cherres, soda, mango juice, chocolate milk, shaving cream, body lotion, shampoo from the grocery store. I saw Willow, Jackson at the grocery store.\",\"I bought some cherres, soda, mango juice, chocolate milk, shaving cream, body lotion, shampoo from the grocery store. I saw Willow, Jackson at the grocery store.\"\n43908,2022/12/30,I did weight lifting on 2022/12/30.,I did weight lifting on 2022/12/30.\n43909,2022/12/30,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n43910,2022/12/30,I had pasta for lunch with Piper,I had pasta for lunch with Piper\n43911,2022/12/30,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n43912,2022/12/30,I talked to Piper for 52 minutes in the early afternoon.,I talked to Piper for 52 minutes in the early afternoon.\n43913,2022/12/30,\"I spent 35 talking to Nevaeh, Claire, Kinsley, Hazel on various topics in the early evening.\",\"I spent 35 talking to Nevaeh, Claire, Kinsley, Hazel on various topics in the early evening.\"\n43914,2022/12/30,\"I talked to Nora, Hazel, Nevaeh, Claire for 12 minutes during lunch hours.\",\"I talked to Nora, Hazel, Nevaeh, Claire for 12 minutes during lunch hours.\"\n43915,2022/12/30,\"I spent 5 talking to Layla, Piper, Avery, Lydia on various topics late in the evening.\",\"I spent 5 talking to Layla, Piper, Avery, Lydia on various topics late in the evening.\"\n43916,2022/12/30,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n43917,2022/12/30,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n43918,2022/12/31,\"On 2022/12/31, I took Avery on a date to a boba shop\",\"On 2022/12/31, I took Avery on a date to a boba shop\"\n43919,2022/12/31,\"I bought some nectarines, mandarins, sports drinks, soda, tea, mineral water, shaving cream online.\",\"I bought some nectarines, mandarins, sports drinks, soda, tea, mineral water, shaving cream online.\"\n43920,2022/12/31,I did weight lifting on 2022/12/31.,I did weight lifting on 2022/12/31.\n43921,2022/12/31,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n43922,2022/12/31,I prepare sushi for lunch.,I prepare sushi for lunch.\n43923,2022/12/31,\"I had dinner with Kayden, Emily. I ate fish and chips.\",\"I had dinner with Kayden, Emily. I ate fish and chips.\"\n43924,2022/12/31,I spent 54 talking to Hazel on various topics during lunch hours.,I spent 54 talking to Hazel on various topics during lunch hours.\n43925,2022/12/31,\"I talked to Nevaeh, Piper for 7 minutes in the early evening.\",\"I talked to Nevaeh, Piper for 7 minutes in the early evening.\"\n43926,2022/12/31,\"I spent 12 talking to Nevaeh, Olivia on various topics in the early afternoon.\",\"I spent 12 talking to Nevaeh, Olivia on various topics in the early afternoon.\"\n43927,2022/12/31,\"I talked to Olivia, Claire, Eva for 30 minutes in the morning.\",\"I talked to Olivia, Claire, Eva for 30 minutes in the morning.\"\n43928,2022/12/31,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n43929,2022/12/31,I spent 24 minutes watching news on TV today.,I spent 24 minutes watching news on TV today.\n43930,2023/01/01,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/travel-log.csv",
    "content": "eid,start_date,end_date,city,people\ne40550,2022/05/24,2022/05/27,\"New York, US\",\"Claire, Piper\"\ne37189,2021/01/11,2021/01/17,\"Shanghai, China\",\"Kayden, Carter, Emily\"\ne33784,2020/05/01,2020/05/12,\"Paris, France\",Piper\ne30415,2019/02/21,2019/03/02,\"Bangkok, Thailand\",\"Lydia, Hazel\"\ne27006,2018/03/20,2018/03/26,\"Seoul, South Korea\",Avery\ne23609,2017/01/10,2017/01/21,\"Sydney, Australia\",\"Andrew, Kayden\"\ne20243,2016/03/27,2016/04/02,\"London, UK\",Piper\ne16891,2015/01/15,2015/01/26,\"Rio, Brazil\",\"Andrew, Carter\"\ne13493,2014/05/21,2014/05/24,\"Los Angeles, US\",\"Willow, Jackson, Avery\"\ne10175,2013/05/03,2013/05/18,\"Seoul, South Korea\",\"Avery, Jackson\"\ne6764,2012/03/07,2012/03/12,\"Bangkok, Thailand\",\"Benjamin, Avery, Willow\"\ne3378,2011/02/24,2011/03/06,\"Bangkok, Thailand\",Andrew\ne1,2010/02/12,2010/02/18,\"Philadelphia, US\",\"Carter, Kayden\"\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/travel_dining-log.csv",
    "content": "eid,start_date,end_date,city,dining_date,food_type,food_location,place_visit_date,place,people,action,emotion\ne7,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/13,Chinese food,High Street Philly,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne8,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/15,Chinese food,High Street Philly,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne9,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/16,street food,Lunch Street,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne10,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/17,Japanese food,High Street Philly,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne11,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/18,Japanese food,Wood Street Pizza,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne3384,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/02/25,Chinese food,Ratchawat Market,2011/03/01,National Museum & Wang Na Palace,Andrew,took a selfie,special\ne3385,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/02/26,Italian food,Yaowarat,2011/03/01,National Museum & Wang Na Palace,Andrew,took a selfie,special\ne3386,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/02/27,Japanese food,Yaowarat,2011/03/01,National Museum & Wang Na Palace,Andrew,took a selfie,special\ne3387,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/02/28,Indian food,Ratchawat Market,2011/03/01,National Museum & Wang Na Palace,Andrew,took a selfie,special\ne3388,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/03/01,Japanese food,Yaowarat,2011/03/01,National Museum & Wang Na Palace,Andrew,took a selfie,special\ne3389,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/03/02,Chinese food,Victory Monument,2011/03/01,National Museum & Wang Na Palace,Andrew,took a selfie,special\ne3390,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/03/03,Chinese food,Ratchawat Market,2011/03/01,National Museum & Wang Na Palace,Andrew,took a selfie,special\ne3391,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/03/04,Italian food,Ratchawat Market,2011/03/01,National Museum & Wang Na Palace,Andrew,took a selfie,special\ne3392,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/03/05,street food,Ratchawat Market,2011/03/01,National Museum & Wang Na Palace,Andrew,took a selfie,special\ne3393,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/03/06,street food,Victory Monument,2011/03/01,National Museum & Wang Na Palace,Andrew,took a selfie,special\ne6770,2012/03/07,2012/03/12,\"Bangkok, Thailand\",2012/03/08,Italian food,Victory Monument,2012/03/12,National Museum & Wang Na Palace,\"Benjamin, Avery, Willow\",took a selfie,impressed\ne6771,2012/03/07,2012/03/12,\"Bangkok, Thailand\",2012/03/09,Japanese food,Yaowarat,2012/03/12,National Museum & Wang Na Palace,\"Benjamin, Avery, Willow\",took a selfie,impressed\ne10179,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/05,street food,Gwangjang Market,2013/05/06,National Museum Of Korea,\"Avery, Jackson\",took a group photo,impressed\ne10180,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/07,Japanese food,Gwangjang Market,2013/05/06,National Museum Of Korea,\"Avery, Jackson\",took a group photo,impressed\ne10181,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/08,Indian food,Common Ground,2013/05/06,National Museum Of Korea,\"Avery, Jackson\",took a group photo,impressed\ne10182,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/09,Japanese food,Gwangjang Market,2013/05/06,National Museum Of Korea,\"Avery, Jackson\",took a group photo,impressed\ne10183,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/10,Chinese food,Common Ground,2013/05/06,National Museum Of Korea,\"Avery, Jackson\",took a group photo,impressed\ne10184,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/11,Chinese food,Seoul Bamdokkaebi Night Market,2013/05/06,National Museum Of Korea,\"Avery, Jackson\",took a group photo,impressed\ne10185,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/12,Indian food,Myeongdong Street Food Alley,2013/05/06,National Museum Of Korea,\"Avery, Jackson\",took a group photo,impressed\ne10186,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/13,local food,Myeongdong Street Food Alley,2013/05/06,National Museum Of Korea,\"Avery, Jackson\",took a group photo,impressed\ne10187,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/15,Italian food,Myeongdong Street Food Alley,2013/05/06,National Museum Of Korea,\"Avery, Jackson\",took a group photo,impressed\ne10188,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/16,Chinese food,Common Ground,2013/05/06,National Museum Of Korea,\"Avery, Jackson\",took a group photo,impressed\ne10189,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/17,local food,Myeongdong Street Food Alley,2013/05/06,National Museum Of Korea,\"Avery, Jackson\",took a group photo,impressed\ne10190,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/18,Japanese food,Myeongdong Street Food Alley,2013/05/06,National Museum Of Korea,\"Avery, Jackson\",took a group photo,impressed\ne13499,2014/05/21,2014/05/24,\"Los Angeles, US\",2014/05/22,Italian food,Es Todo Vegan Street Food,2014/05/26,Universal Studios Hollywood,\"Willow, Jackson, Avery\",took a group photo,happy\ne13500,2014/05/21,2014/05/24,\"Los Angeles, US\",2014/05/23,Chinese food,Guatemalan Night Market,2014/05/26,Universal Studios Hollywood,\"Willow, Jackson, Avery\",took a group photo,happy\ne13501,2014/05/21,2014/05/24,\"Los Angeles, US\",2014/05/24,Indian food,Guatemalan Night Market,2014/05/26,Universal Studios Hollywood,\"Willow, Jackson, Avery\",took a group photo,happy\ne16897,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/16,Italian food,Pão de queijo,2015/01/20,Carnaval,\"Andrew, Carter\",bought some souvenirs,happy\ne16898,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/17,street food,Pão de queijo,2015/01/20,Carnaval,\"Andrew, Carter\",bought some souvenirs,happy\ne16899,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/18,Italian food,Bolinho de bacalhau,2015/01/20,Carnaval,\"Andrew, Carter\",bought some souvenirs,happy\ne16900,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/19,street food,Tapioca,2015/01/20,Carnaval,\"Andrew, Carter\",bought some souvenirs,happy\ne16901,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/20,Italian food,Bolinho de bacalhau,2015/01/20,Carnaval,\"Andrew, Carter\",bought some souvenirs,happy\ne16902,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/21,Italian food,Pão de queijo,2015/01/20,Carnaval,\"Andrew, Carter\",bought some souvenirs,happy\ne16903,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/22,street food,Pão de queijo,2015/01/20,Carnaval,\"Andrew, Carter\",bought some souvenirs,happy\ne16904,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/24,local food,Tapioca,2015/01/20,Carnaval,\"Andrew, Carter\",bought some souvenirs,happy\ne16905,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/25,Italian food,Tapioca,2015/01/20,Carnaval,\"Andrew, Carter\",bought some souvenirs,happy\ne16906,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/26,Indian food,Pão de queijo,2015/01/20,Carnaval,\"Andrew, Carter\",bought some souvenirs,happy\ne20249,2016/03/27,2016/04/02,\"London, UK\",2016/03/28,Chinese food,Broadway Market,2016/04/01,Hyde Park,Piper,bought some souvenirs,special\ne20250,2016/03/27,2016/04/02,\"London, UK\",2016/03/29,Japanese food,Bang Bang Oriental,2016/04/01,Hyde Park,Piper,bought some souvenirs,special\ne20251,2016/03/27,2016/04/02,\"London, UK\",2016/03/30,Japanese food,Brixton Village,2016/04/01,Hyde Park,Piper,bought some souvenirs,special\ne20252,2016/03/27,2016/04/02,\"London, UK\",2016/04/01,Indian food,Berwick Street Market,2016/04/01,Hyde Park,Piper,bought some souvenirs,special\ne20253,2016/03/27,2016/04/02,\"London, UK\",2016/04/02,local food,Bang Bang Oriental,2016/04/01,Hyde Park,Piper,bought some souvenirs,special\ne23613,2017/01/10,2017/01/21,\"Sydney, Australia\",2017/01/11,street food,Love Crepe,2017/01/13,Sydney Harbour Bridge,\"Andrew, Kayden\",took a selfie,impressed\ne23614,2017/01/10,2017/01/21,\"Sydney, Australia\",2017/01/12,local food,Bombay Street Kitchen,2017/01/13,Sydney Harbour Bridge,\"Andrew, Kayden\",took a selfie,impressed\ne23615,2017/01/10,2017/01/21,\"Sydney, Australia\",2017/01/13,street food,Love Crepe,2017/01/13,Sydney Harbour Bridge,\"Andrew, Kayden\",took a selfie,impressed\ne23616,2017/01/10,2017/01/21,\"Sydney, Australia\",2017/01/14,Italian food,Thievery Chicken & Charcoal,2017/01/13,Sydney Harbour Bridge,\"Andrew, Kayden\",took a selfie,impressed\ne23617,2017/01/10,2017/01/21,\"Sydney, Australia\",2017/01/15,Japanese food,Thievery Chicken & Charcoal,2017/01/13,Sydney Harbour Bridge,\"Andrew, Kayden\",took a selfie,impressed\ne23618,2017/01/10,2017/01/21,\"Sydney, Australia\",2017/01/16,local food,Bombay Street Kitchen,2017/01/13,Sydney Harbour Bridge,\"Andrew, Kayden\",took a selfie,impressed\ne23619,2017/01/10,2017/01/21,\"Sydney, Australia\",2017/01/17,Japanese food,Bombay Street Kitchen,2017/01/13,Sydney Harbour Bridge,\"Andrew, Kayden\",took a selfie,impressed\ne23620,2017/01/10,2017/01/21,\"Sydney, Australia\",2017/01/19,Indian food,Thievery Chicken & Charcoal,2017/01/13,Sydney Harbour Bridge,\"Andrew, Kayden\",took a selfie,impressed\ne23621,2017/01/10,2017/01/21,\"Sydney, Australia\",2017/01/21,Japanese food,Bombay Street Kitchen,2017/01/13,Sydney Harbour Bridge,\"Andrew, Kayden\",took a selfie,impressed\ne27010,2018/03/20,2018/03/26,\"Seoul, South Korea\",2018/03/21,street food,Common Ground,2018/03/23,N Seoul Tower,Avery,took a selfie,special\ne27011,2018/03/20,2018/03/26,\"Seoul, South Korea\",2018/03/22,Italian food,Myeongdong Street Food Alley,2018/03/23,N Seoul Tower,Avery,took a selfie,special\ne27012,2018/03/20,2018/03/26,\"Seoul, South Korea\",2018/03/25,Indian food,Gwangjang Market,2018/03/23,N Seoul Tower,Avery,took a selfie,special\ne27013,2018/03/20,2018/03/26,\"Seoul, South Korea\",2018/03/26,Japanese food,Seoul Bamdokkaebi Night Market,2018/03/23,N Seoul Tower,Avery,took a selfie,special\ne30421,2019/02/21,2019/03/02,\"Bangkok, Thailand\",2019/02/22,Chinese food,Yaowarat,2019/02/26,Wat Arun,\"Lydia, Hazel\",took a group photo,special\ne30422,2019/02/21,2019/03/02,\"Bangkok, Thailand\",2019/02/23,Indian food,Ratchawat Market,2019/02/26,Wat Arun,\"Lydia, Hazel\",took a group photo,special\ne30423,2019/02/21,2019/03/02,\"Bangkok, Thailand\",2019/02/25,Indian food,Ratchawat Market,2019/02/26,Wat Arun,\"Lydia, Hazel\",took a group photo,special\ne30424,2019/02/21,2019/03/02,\"Bangkok, Thailand\",2019/02/26,Indian food,Victory Monument,2019/02/26,Wat Arun,\"Lydia, Hazel\",took a group photo,special\ne30425,2019/02/21,2019/03/02,\"Bangkok, Thailand\",2019/02/27,local food,Ratchawat Market,2019/02/26,Wat Arun,\"Lydia, Hazel\",took a group photo,special\ne30426,2019/02/21,2019/03/02,\"Bangkok, Thailand\",2019/02/28,street food,Yaowarat,2019/02/26,Wat Arun,\"Lydia, Hazel\",took a group photo,special\ne30427,2019/02/21,2019/03/02,\"Bangkok, Thailand\",2019/03/01,street food,Ratchawat Market,2019/02/26,Wat Arun,\"Lydia, Hazel\",took a group photo,special\ne30428,2019/02/21,2019/03/02,\"Bangkok, Thailand\",2019/03/02,Italian food,Yaowarat,2019/02/26,Wat Arun,\"Lydia, Hazel\",took a group photo,special\ne33790,2020/05/01,2020/05/12,\"Paris, France\",2020/05/02,Italian food,Man’Ouché,2020/05/06,Louvre Museum,Piper,recorded some videos,impressed\ne33791,2020/05/01,2020/05/12,\"Paris, France\",2020/05/03,Indian food,Man’Ouché,2020/05/06,Louvre Museum,Piper,recorded some videos,impressed\ne33792,2020/05/01,2020/05/12,\"Paris, France\",2020/05/04,Indian food,Le Food Market,2020/05/06,Louvre Museum,Piper,recorded some videos,impressed\ne33793,2020/05/01,2020/05/12,\"Paris, France\",2020/05/06,Chinese food,Man’Ouché,2020/05/06,Louvre Museum,Piper,recorded some videos,impressed\ne33794,2020/05/01,2020/05/12,\"Paris, France\",2020/05/08,Chinese food,Man’Ouché,2020/05/06,Louvre Museum,Piper,recorded some videos,impressed\ne33795,2020/05/01,2020/05/12,\"Paris, France\",2020/05/09,local food,Le Food Market,2020/05/06,Louvre Museum,Piper,recorded some videos,impressed\ne33796,2020/05/01,2020/05/12,\"Paris, France\",2020/05/11,Italian food,Le Food Market,2020/05/06,Louvre Museum,Piper,recorded some videos,impressed\ne37190,2021/01/11,2021/01/17,\"Shanghai, China\",2021/01/12,Italian food,Fangbang Xi Lu,,,,,\ne37191,2021/01/11,2021/01/17,\"Shanghai, China\",2021/01/13,Indian food,Yuyuan Lu junction,,,,,\ne37192,2021/01/11,2021/01/17,\"Shanghai, China\",2021/01/14,local food,South Bund Fabric Market,,,,,\ne37193,2021/01/11,2021/01/17,\"Shanghai, China\",2021/01/16,Japanese food,Fangbang Xi Lu,,,,,\ne37194,2021/01/11,2021/01/17,\"Shanghai, China\",2021/01/17,Chinese food,Fangbang Xi Lu,,,,,\ne40558,2022/05/24,2022/05/27,\"New York, US\",2022/05/25,Japanese food,The Halal Guys,2022/05/31,Empire State Building,\"Claire, Piper\",took a selfie,happy\ne40559,2022/05/24,2022/05/27,\"New York, US\",2022/05/26,Japanese food,Melt Bakery,2022/05/31,Empire State Building,\"Claire, Piper\",took a selfie,happy\ne40560,2022/05/24,2022/05/27,\"New York, US\",2022/05/27,Italian food,Nuts 4 Nuts,2022/05/31,Empire State Building,\"Claire, Piper\",took a selfie,happy\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/travel_places_visited-log.csv",
    "content": "eid,start_date,end_date,city,place_visit_date,place,people,action,emotion\ne2,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/13,Liberty Bell,\"Carter, Kayden\",took a group photo,impressed\ne3,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/14,Philadelphia Museum of Art,\"Carter, Kayden\",recorded some videos,happy\ne4,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/15,Ipanema,\"Carter, Kayden\",bought some souvenirs,happy\ne5,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/16,Carnaval,\"Carter, Kayden\",took a selfie,impressed\ne6,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne3379,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/02/25,Wat Suthat,Andrew,took a group photo,special\ne3380,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/02/26,Grand Palace,Andrew,took a group photo,special\ne3381,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/02/27,Wat Traimit,Andrew,bought some souvenirs,impressed\ne3382,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/02/28,Wat Arun,Andrew,took a selfie,special\ne3383,2011/02/24,2011/03/06,\"Bangkok, Thailand\",2011/03/01,National Museum & Wang Na Palace,Andrew,took a selfie,special\ne6765,2012/03/07,2012/03/12,\"Bangkok, Thailand\",2012/03/08,Grand Palace,\"Benjamin, Avery, Willow\",bought some souvenirs,happy\ne6766,2012/03/07,2012/03/12,\"Bangkok, Thailand\",2012/03/09,Wat Traimit,\"Benjamin, Avery, Willow\",took a selfie,impressed\ne6767,2012/03/07,2012/03/12,\"Bangkok, Thailand\",2012/03/10,Wat Arun,\"Benjamin, Avery, Willow\",bought some souvenirs,happy\ne6768,2012/03/07,2012/03/12,\"Bangkok, Thailand\",2012/03/11,Wat Suthat,\"Benjamin, Avery, Willow\",took a group photo,impressed\ne6769,2012/03/07,2012/03/12,\"Bangkok, Thailand\",2012/03/12,National Museum & Wang Na Palace,\"Benjamin, Avery, Willow\",took a selfie,impressed\ne10176,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/04,Lotte World Tower,\"Avery, Jackson\",bought some souvenirs,special\ne10177,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/05,N Seoul Tower,\"Avery, Jackson\",took a selfie,impressed\ne10178,2013/05/03,2013/05/18,\"Seoul, South Korea\",2013/05/06,National Museum Of Korea,\"Avery, Jackson\",took a group photo,impressed\ne13494,2014/05/21,2014/05/24,\"Los Angeles, US\",2014/05/22,Hollywood Walk of Fame,\"Willow, Jackson, Avery\",recorded some videos,happy\ne13495,2014/05/21,2014/05/24,\"Los Angeles, US\",2014/05/23,Santa Monica Pier,\"Willow, Jackson, Avery\",took a group photo,special\ne13496,2014/05/21,2014/05/24,\"Los Angeles, US\",2014/05/24,Griffith Park and Observatory,\"Willow, Jackson, Avery\",recorded some videos,special\ne13497,2014/05/21,2014/05/24,\"Los Angeles, US\",2014/05/25,Getty Center,\"Willow, Jackson, Avery\",took a selfie,impressed\ne13498,2014/05/21,2014/05/24,\"Los Angeles, US\",2014/05/26,Universal Studios Hollywood,\"Willow, Jackson, Avery\",took a group photo,happy\ne16892,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/16,Ipanema,\"Andrew, Carter\",took a selfie,special\ne16893,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/17,Copacabana,\"Andrew, Carter\",took a selfie,impressed\ne16894,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/18,Sugarloaf,\"Andrew, Carter\",recorded some videos,special\ne16895,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/19,Cristo Redentor,\"Andrew, Carter\",took a group photo,happy\ne16896,2015/01/15,2015/01/26,\"Rio, Brazil\",2015/01/20,Carnaval,\"Andrew, Carter\",bought some souvenirs,happy\ne20244,2016/03/27,2016/04/02,\"London, UK\",2016/03/28,London Eye,Piper,bought some souvenirs,impressed\ne20245,2016/03/27,2016/04/02,\"London, UK\",2016/03/29,Westminster,Piper,took a group photo,impressed\ne20246,2016/03/27,2016/04/02,\"London, UK\",2016/03/30,Camden,Piper,took a selfie,happy\ne20247,2016/03/27,2016/04/02,\"London, UK\",2016/03/31,Tower of London,Piper,recorded some videos,special\ne20248,2016/03/27,2016/04/02,\"London, UK\",2016/04/01,Hyde Park,Piper,bought some souvenirs,special\ne23610,2017/01/10,2017/01/21,\"Sydney, Australia\",2017/01/11,Bondi Beach,\"Andrew, Kayden\",took a selfie,happy\ne23611,2017/01/10,2017/01/21,\"Sydney, Australia\",2017/01/12,Sydney Opera House,\"Andrew, Kayden\",bought some souvenirs,special\ne23612,2017/01/10,2017/01/21,\"Sydney, Australia\",2017/01/13,Sydney Harbour Bridge,\"Andrew, Kayden\",took a selfie,impressed\ne27007,2018/03/20,2018/03/26,\"Seoul, South Korea\",2018/03/21,Lotte World Tower,Avery,took a group photo,special\ne27008,2018/03/20,2018/03/26,\"Seoul, South Korea\",2018/03/22,National Museum Of Korea,Avery,bought some souvenirs,special\ne27009,2018/03/20,2018/03/26,\"Seoul, South Korea\",2018/03/23,N Seoul Tower,Avery,took a selfie,special\ne30416,2019/02/21,2019/03/02,\"Bangkok, Thailand\",2019/02/22,Wat Traimit,\"Lydia, Hazel\",recorded some videos,happy\ne30417,2019/02/21,2019/03/02,\"Bangkok, Thailand\",2019/02/23,Grand Palace,\"Lydia, Hazel\",took a group photo,impressed\ne30418,2019/02/21,2019/03/02,\"Bangkok, Thailand\",2019/02/24,National Museum & Wang Na Palace,\"Lydia, Hazel\",recorded some videos,special\ne30419,2019/02/21,2019/03/02,\"Bangkok, Thailand\",2019/02/25,Wat Suthat,\"Lydia, Hazel\",took a group photo,special\ne30420,2019/02/21,2019/03/02,\"Bangkok, Thailand\",2019/02/26,Wat Arun,\"Lydia, Hazel\",took a group photo,special\ne33785,2020/05/01,2020/05/12,\"Paris, France\",2020/05/02,Eiffel Tower,Piper,took a group photo,impressed\ne33786,2020/05/01,2020/05/12,\"Paris, France\",2020/05/03,Notre Dame Cathedral,Piper,recorded some videos,impressed\ne33787,2020/05/01,2020/05/12,\"Paris, France\",2020/05/04,Montmartre,Piper,took a group photo,impressed\ne33788,2020/05/01,2020/05/12,\"Paris, France\",2020/05/05,Champs Elysées,Piper,took a selfie,impressed\ne33789,2020/05/01,2020/05/12,\"Paris, France\",2020/05/06,Louvre Museum,Piper,recorded some videos,impressed\ne40551,2022/05/24,2022/05/27,\"New York, US\",2022/05/25,Statue of Liberty,\"Claire, Piper\",took a selfie,happy\ne40552,2022/05/24,2022/05/27,\"New York, US\",2022/05/26,Central Park,\"Claire, Piper\",took a selfie,impressed\ne40553,2022/05/24,2022/05/27,\"New York, US\",2022/05/27,Times Square,\"Claire, Piper\",took a selfie,impressed\ne40554,2022/05/24,2022/05/27,\"New York, US\",2022/05/28,Brooklyn Bridge,\"Claire, Piper\",took a selfie,happy\ne40555,2022/05/24,2022/05/27,\"New York, US\",2022/05/29,Rockefeller Center,\"Claire, Piper\",recorded some videos,special\ne40556,2022/05/24,2022/05/27,\"New York, US\",2022/05/30,Metropolitan Museum of Art,\"Claire, Piper\",took a group photo,happy\ne40557,2022/05/24,2022/05/27,\"New York, US\",2022/05/31,Empire State Building,\"Claire, Piper\",took a selfie,happy\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/views_idx.csv",
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  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/views_metadata.txt",
    "content": "#This file contains meta data about views. \n#name: The name of the view, \n#description: a text description of what the view contains, \n#schema: the schema, \n#example queries: examples of questions that may be posed against this view \n#additional_context: additional special instructions to pass to codex\n#foreign key: optionally foreign keys if available, \n#<attribute_name>: and a description of each attribute. \n\nname: annual_medical_care_log\ndescription: different types of medical appointments for myself, my children/kids, or my parents, and when. E.g., I brought my kids for their vision checkup on Jan 03, 2021. \nschema: (eid,date,for_whom,type_of_care)\nexample queries: When was my last vision checkup? How many dental appointments did my kids have in 2020? When did my parents go for their medical checkup in 2021?\nadditional_context: The for_whom column describes checkups for myself as \"personal_medical_checkup\".\nforeign key: -\neid: TEXT  // primary key \ndate: DATETYPE // the day of the appointment. \nfor_whom: TEXT // who the medical appointment is for (parents, children, or self) TEXT\ntype_of_care: TEXT // the type of medical appointment (dental, vision, physical)\n\nname: daily_chat_log\ndescription: records talks/chats with people on some date and time. E.g., I spent 24 minutes talking to Emily and Bob on the morning of August 6, 2017.\nschema: (eid,date,timeofday,howlong,friends)\nexample queries: When was the last time I chat with Rachel in the morning? How long did I chat with my friends yesterday? Who did I talk to on 12 May, 2018? \nadditional_context: \nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day the chat/talk took place\ntimeofday: TEXT // when the chat/talk took place during the day (morning, afternoon, or evening)\nhowlong: INTEGER // the length/duration of the chat/talk in minutes\nfriends: TEXT // the list of people whom I talked to\n\nname: daily_exercise_log\ndescription: records of different types of exercises done (running/jogging, swimming, walking etc.) and the corresponding heart rate. E.g., I went swimming on Jun 20, 2019 and my average heart rate was 145BPM.\nschema: (eid,date,exercise,heart_rate)\nexample queries: how many times did I run or bike last month? Which month did I exercise the most?  Which year did I exercise the most?\nadditional_context: \nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day of exercise\nexercise: TEXT // type of exercise (swimming, running/jogging, yoga, walking, etc.)\nheart_rate: INTEGER // the average heart rate in BPM during exercise\n\nname: daily_meal_log\ndescription: records of meals eaten, types of food, friends or people involved, and on which day or date. E.g., I had oatmeal for breakfast on April 7, 2011 with John and Carter.\nschema: (eid,date,mealtype,foodtype,people_string)\nexample queries: How many times did I have cereals for breakfast in April 2020? What did I last eat with Jane for lunch? \nadditional_context: \nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day of the meal\nmealtype: TEXT // type of meal (breakfast, lunch, dinner, snack)\nfoodtype: TEXT // type of food (chinese, pasta, tacos etc.)\npeople_string: TEXT // list of people or friends \n\nname: daily_read_log\ndescription: what is read (e.g., books, news, social media) and for how long\nschema: (eid,date,readtype,howlong). E.g., I spent 30 mins reading news on 22 June 2018.\nexample queries: how much time did I spend on social media or the news last month? How many books did I read in 2020? \nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // date the reading activity took place\nreadtype: TEXT // source of reading material (books, news, magazine, social media) \nhowlong: INTEGER // the length/duration of the reading activity\n\nname: daily_watchtv_log\ndescription: what is watched on tv (e.g., movie, tv series, documentary, or news), on which day or date and for how long. E.g., I watched a movie for 2 hrs on 18 June 2019.\nschema: (eid,date,watchtype,howlong)\nexample queries: When was the last time I watch a movie or news? How long did I spend watching tv in 2020\nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day where this event, watching tv, occurred\nwatchtype: TEXT // what is watched on tv (movie, tv series, news)\nhowlong: INTEGER // the length/duration spent watching tv\n\nname: marriages_log\ndescription: records the date of marriage, name of spouse or partner, and where the marriage took place. E.g., I married John on May 2, 2010 in Marin County, California.\nschema: (eid,married_date,partner_name,location)\nexample queries: when was my first marriage and where? How many times did I get married?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\nmarried_date: DATETYPE // the date of marriage\npartner_name: TEXT // name of partner or spouse\nlocation: TEXT // the location where the marriage took place\n\nname: monthly_pet_care_log\ndescription: date that the pet (e.g., dog or cat) was taking for grooming or medical checkups. E.g., Roki was groomed and had his nails trimmed on 2 Jan 2022.\nschema: (eid,date,pet_care_type)\nexample queries: When did I last take Rocky to a bath? How many times did Rocky groom and got his nails trimmed in 2021?  Did Rocky go for a medical checkup last year?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day of the pet care or grooming\npet_care_type: TEXT // grooming (bath, grooming, nail trim)\n\nname: moves_log\ndescription: when a move or relocation was made and the destination location. E.g., I moved to Madison, Wisconsin for college on 20 August, 2018.\nschema: (id,date,type_of_move,destination)\nexample queries: when did I move to college? \nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day of of the move\ntype_of_move: TEXT // the type of move or reason for moving (move due to job, college, graduate school)\ndestination: TEXT // the place moved to\n\nname: travel_log\ndescription: record of where I traveled, the travel destination, with whom, and the start and end dates of travel. E.g., I went to San Francisco from September 7, 2019 to September 17, 2019 with John and Carter.\nschema: (eid,start_date,end_date,city,people)\nexample queries: When did I visit Tokyo in 2021? Who did I go London with in 2021? How long was I in Taipei, Taiwan in 2021?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\nstart_date: DATETYPE // the first day of travel for this record\nend_date: DATETYPE // the last day of travel for this record\ncity: TEXT // the destination or city traveled to\npeople: TEXT // the people or friends traveling with you\n\nname: travel_dining_log\ndescription: records of dining events or meals during travel at the city, the food, the place where the meal took place, the date of the dining event, the people or friends at the dining event, and the emotion associated. E.g., I went to San Francisco from September 7, 2019 to September 17, 2019 and had pasta at Pier 39.\nschema: (eid,start_date,end_date,city,dining_date,food_type,food_location,place_visit_date,place,people,action,emotion)\nexample queries: what did I last eat in Philadelphia? Where was the location of the restaurant I dined in the last day of London?\nadditional_context:\nforeign key: (eid,start_date,end_date,city) is a foreign key in travel_log\neid: TEXT // primary key\nstart_date: DATETYPE // the first day of travel for this record\nend_date: DATETYPE // the last day of travel for this record\ncity: TEXT // the destination or city traveled to\ndining_date: DATETYPE // the date this dining event took place\nfood_type: TEXT // type of food (Chinese, Italian, Indian, Japanese, etc.)\nfood_location: TEXT // name of restaurant or street name where the meal took place\nplace_visit_date: DATETYPE // date that place was visited during the same trip\nplace: TEXT // a place visited during the same trip\npeople: TEXT // list of people or friends who were at the same trip\naction: TEXT // an activity done during at the place that was visited (took a group photo, or a selfie, bought souvenirs)\nemotion: TEXT // feelings associated with the action taken (happy, impressed)\n\nname: travel_places_visited_log\ndescription: the start and end date of the travel, the city visited (e.g., London, Sydney) and with whom and the things done. E.g., I went to San Francisco from September 7, 2019 to September 17, 2019 and visited Union Square with John and Carter on September 8, 2019. We took some pictures and were happy.\nschema: (eid,start_date,end_date,city,place_visit_date,place,people,action,emotion)\nexample queries: How many places did I visit when I was in Tokyo in 2021? Did I go to the Museum of Arts when I last visited Philadelphia? \nadditional_context:\nforeign key: (eid,start_date,end_date,city) is a foreign key in travel_log\neid: TEXT // primary key\nstart_date: DATETYPE // the first day of travel for this record\nend_date: DATETYPE // the last day of travel for this record\ncity: TEXT // the destination or city traveled to\nplace_visit_date: DATETYPE // date that place was visited during the same trip\nplace: TEXT // a place visited during the same trip\npeople: TEXT // list of people or friends who were at the same trip\naction: TEXT // an activity done during at the place that was visited (took a group photo, or a selfie, bought souvenirs)\nemotion: TEXT // feelings associated with the action taken (happy, impressed)\n\nname: weekly_bakeorcook_log\ndescription: records the type of dishes or cuisines I make (e.g., dessert, pie, jam, cookies), where it was made and with whom and the day it was made. E.g., I baked chocolate cake at my place with Amy and Brandy on February 6, 2019.\nschema: (eid,date,cuisine,location,people)\nexample queries: When did I last bake a pie? What dishes did I cook the most often in 2021?  Who made a chocolate cake with me in April 2022?  How many times did I make bread in 2022? \nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day the baking or cooking took place\ncuisine: TEXT // the type of dish made (chocolate chip, cake, steak, chinese stir fry)\nlocation: TEXT // the place where was the dish made. Usually it is \"my place\"\npeople: TEXT // the list of people or friends' names\n\nname: weekly_dating_log\ndescription: records of dating events, including the name of the date and the location where the dating took place. E.g., I dated Jimmy on May 3, 2018 at Filoli Gardens.\nschema: (eid,date,people_string,location)\nexample queries: where did I spend time with Avery in 2022? \nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day when the dating event happened\npeople_string: TEXT // the people in the dating event\nlocation: TEXT // the location of the dating event\n\nname: weekly_grocery_log\ndescription: records of the fruits, drinks, and toiletries shopped and bought during a certain day, and the people involved in the same grocery shopping trip. E.g., I bought strawberries and bananas, milk, and toothpaste from the supermarket with Jimmy and Carter.\nschema: (eid,date,fruits,drinks,toiletries,people_string)\nexample queries: How many trips did I make to the supermarket in April 2021?  When did I last buy toothpaste? How many times did I buy fruits in May 2020?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day the groceries were purchased\nfruits: TEXT // fruits (apples, peaches, guava, bananas, etc.)\ndrinks: TEXT // drinks (mango juice, soda, milk, water, etc.)\ntoiletries: TEXT // toiletries (toothpaste, facial/body/mouth wash, facial/body/hand lotion etc.)\npeople_string: TEXT // the people or friends who were also there for this shopping event\n\nname: weekly_hobby_log\ndescription: records which hobbies were carried out during a certain day and the people involved. What did I do? What did I do on a certain day and with whom? E.g., I meditated with John on January 15, 2017.\nschema: (eid,date,hobbies,people_string)\nexample queries: How many times did I meditate in 2021? How many times did I work out in May 2021?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day the hobby was done\nhobbies: TEXT // an activity that is carried out regularly (meditation, yoga, jogging, working out)\npeople_string: TEXT // the people or friends who were together for this hobby\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/weekly_bakeorcook-log.csv",
    "content": "eid,date,cuisine,location,people\ne13505,2014/01/07,\"salmon chowder, poke, air-fryer brats\",my place,Benjamin\ne13506,2014/01/01,easy cherry skillet cake,my place,\"Hazel, Layla\"\ne13520,2014/01/29,\"homemade toaster pastries, giant cinnamon roll, easy peanut butter fudge\",my place,\"Piper, Layla, Claire, Piper\"\ne13526,2014/02/07,\"thai green curry paste, cream of celery soup recipe\",my place,Claire\ne13543,2014/03/09,gluten-free apple rose tart,my place,\"Kayden, Carter, Andrew, Emily\"\ne13553,2014/03/24,\"instant pot whole chicken, chinese chicken wings\",my place,\"Andrew, Kayden, Carter\"\ne13560,2014/04/07,macaroni and cheese,my place,\"Layla, Kinsley\"\ne13575,2014/04/30,\"favorite chicken potpie, chinese vegetable stir-fry, chinese chicken wings\",my place,\"Andrew, Carter, Emily, Kayden\"\ne13589,2014/05/31,\"easy chocolate marshmallow cups, giant cinnamon roll, vegan sugar cookies\",my place,\"Andrew, Kayden, Emily\"\ne13594,2014/06/10,\"easy cherry skillet cake, fig tarte tatin, birthday cupcakes with white wine buttercream\",my place,\"Carter, Kayden, Emily, Andrew\"\ne13611,2014/07/12,wonton soup,my place,\"Kayden, Carter\"\ne13635,2014/08/20,\"cashew chicken , chinese chicken wings, ramen noodle stir-fry\",my place,\"Claire, Lydia\"\ne13659,2014/10/02,\"ramen noodle stir-fry, tender salsa beef, wonton soup\",my place,\"Andrew, Kayden, Emily, Carter\"\ne13665,2014/10/13,\"easy cherry skillet cake, chocolate skillet cake\",my place,\"Andrew, Kayden\"\ne13683,2014/11/09,\"salmon chowder, creamed garden potatoes and peas, poke\",my place,\"Kayden, Emily, Carter, Andrew\"\ne13686,2014/11/12,\"chocolate-chip mug brownie, fig tarte tatin\",my place,\"Andrew, Emily, Carter\"\ne13694,2014/11/29,\"rigatoni with sausage & peas, cream of celery soup recipe, chow mein\",my place,\"Emily, Kayden\"\ne13702,2014/12/15,\"air-fryer brats, chinese broccoli with oyster sauce, chicken parmesan spaghetti\",my place,\"Eva, Layla\"\ne13711,2014/12/25,\"turkey shepherd’s pie, split pea soup with ham & jalapeno\",my place,\"Carter, Andrew, Emily, Kayden\"\ne16934,2015/02/26,chinese broccoli with oyster sauce,my place,\"Andrew, Kayden, Emily, Carter\"\ne16936,2015/03/09,easy peanut butter fudge,my place,\"Andrew, Kayden, Emily, Carter\"\ne16967,2015/04/30,cheater’s mini rhubarb galettes,my place,\"Olivia, Eva, Lydia\"\ne16979,2015/05/25,chinese broccoli with oyster sauce,my place,\"Andrew, Emily\"\ne17007,2015/08/05,\"healthy turkey chili, thai green curry paste\",my place,\"Claire, Nora, Lydia, Rylee\"\ne17045,2015/10/11,\"brown sugar-pear puff pastries, chocolate chip cookie in a mug, cranberry apple danish\",my place,\"Kayden, Andrew, Emily, Carter\"\ne17057,2015/10/30,\"birthday cupcakes with white wine buttercream, easy cherry skillet cake, dessert nachos\",my place,\"Andrew, Kayden\"\ne20279,2016/02/23,salmon chowder,my place,\"Carter, Kayden\"\ne20287,2016/03/07,pistachio oat squares,my place,\"Avery, Benjamin, Willow, Jackson\"\ne20313,2016/04/27,\"air-fryer brats, gado gado\",my place,\"Kayden, Carter, Andrew, Emily\"\ne20330,2016/06/07,beef and broccoli,my place,\"Andrew, Kayden\"\ne20336,2016/06/18,macaroni and cheese,my place,\"Avery, Jackson, Benjamin, Willow\"\ne20349,2016/07/15,\"so-easy sloppy joes, wonton soup, creamed garden potatoes and peas\",my place,Eva\ne20354,2016/07/22,\"au gratin peas and potatoes, cashew chicken \",my place,\"Benjamin, Jackson\"\ne20369,2016/08/21,\"giant cinnamon roll, chocolate skillet cake\",my place,\"Andrew, Carter, Emily\"\ne20382,2016/09/28,birthday cupcakes with white wine buttercream,my place,\"Rylee, Lydia\"\ne20403,2016/11/07,\"vegan sugar cookies, giant cinnamon roll\",my place,\"Kayden, Andrew, Emily, Carter\"\ne20415,2016/11/25,carrot cake,my place,\"Olivia, Avery\"\ne20420,2016/12/02,brownies,my place,\"Emily, Carter, Kayden, Andrew\"\ne23650,2017/02/24,\"crockpot spareribs, turkey shepherd’s pie\",my place,Layla\ne23651,2017/02/25,pistachio oat squares,my place,\"Piper, Eva\"\ne23659,2017/03/14,cream-filled bundt cake,my place,\"Layla, Lydia, Claire, Hazel\"\ne23660,2017/03/18,easy chocolate marshmallow cups,my place,\"Benjamin, Avery\"\ne23671,2017/04/04,\"fig tarte tatin, brownies\",my place,\"Emily, Kayden, Andrew\"\ne23677,2017/04/12,\"easy cherry skillet cake, gluten-free apple rose tart\",my place,\"Avery, Jackson, Benjamin, Willow\"\ne23701,2017/05/25,swedish meatball recipe,my place,\"Piper, Rylee\"\ne23709,2017/06/07,\"cheater’s mini rhubarb galettes, peanut butter cookies, easy peanut butter fudge\",my place,\"Avery, Eva\"\ne23712,2017/06/15,\"brownies, chrissy teigen’s 3-ingredient chocolate mousse\",my place,\"Emily, Carter\"\ne23719,2017/06/20,au gratin peas and potatoes,my place,\"Jackson, Willow, Avery\"\ne23720,2017/06/22,\"carrot cake, cream-filled bundt cake\",my place,\"Kayden, Emily, Carter, Andrew\"\ne23722,2017/06/26,cube steak and gravy,my place,Hazel\ne23728,2017/07/07,\"chinese chicken wings, chinese broccoli with oyster sauce\",my place,Piper\ne23733,2017/07/13,chrissy teigen’s 3-ingredient chocolate mousse,my place,\"Avery, Piper\"\ne23758,2017/08/25,\"shrimp quesadilla, cashew chicken , chinese vegetable stir-fry\",my place,\"Claire, Nora\"\ne23767,2017/09/10,\"chocolate skillet cake, brown sugar-pear puff pastries\",my place,\"Andrew, Kayden, Carter, Emily\"\ne23779,2017/10/03,\"shrimp quesadilla, cream of celery soup recipe, chicken and gravy\",my place,\"Avery, Jackson\"\ne23807,2017/11/27,gluten-free apple rose tart,my place,Olivia\ne23813,2017/12/03,favorite chicken potpie,my place,\"Carter, Kayden, Emily, Andrew\"\ne23814,2017/12/06,\"easy peanut butter fudge, brownies, easy chocolate marshmallow cups\",my place,\"Lydia, Nevaeh\"\ne23818,2017/12/16,chocolate chip cookie in a mug,my place,\"Carter, Kayden, Andrew\"\ne27016,2018/01/06,scallion pancake,my place,Carter\ne27017,2018/01/04,\"cream-filled bundt cake, blackberry-raspberry skillet cobbler\",my place,\"Carter, Kayden, Andrew, Emily\"\ne27026,2018/01/18,\"birthday cupcakes with white wine buttercream, gluten-free apple rose tart\",my place,Carter\ne27044,2018/02/20,\"turkey shepherd’s pie, macaroni and cheese, tender salsa beef\",my place,Emily\ne27086,2018/05/14,\"cashew chicken , so-easy sloppy joes, ramen noodle stir-fry\",my place,\"Carter, Andrew, Emily\"\ne27095,2018/06/09,\"homemade toaster pastries, gluten-free apple rose tart, cream-filled bundt cake\",my place,\"Benjamin, Willow\"\ne27101,2018/06/24,\"crockpot spareribs, chow mein, poke\",my place,\"Hazel, Rylee, Layla, Olivia\"\ne27162,2018/10/01,\"ramen noodle stir-fry, turkey shepherd’s pie, broccoli-stuffed chicken\",my place,\"Olivia, Piper, Nevaeh\"\ne27166,2018/10/08,\"dessert nachos, peanut butter cookies\",my place,\"Kayden, Andrew, Carter, Emily\"\ne27167,2018/10/13,lemon meringue cookies,my place,\"Jackson, Avery\"\ne27171,2018/10/19,\"blackberry-raspberry skillet cobbler, blackberry jam pie-crust straws, chocolate skillet cake\",my place,\"Claire, Nora\"\ne27175,2018/10/26,\"contest-winning broccoli chicken casserole, cashew chicken , poke\",my place,Piper\ne27176,2018/10/22,brown sugar-pear puff pastries,my place,\"Emily, Kayden, Carter, Andrew\"\ne30447,2019/01/30,carrot cake,my place,\"Emily, Carter, Andrew\"\ne30453,2019/02/11,\"macaroni and cheese, contest-winning broccoli chicken casserole, traditional meat loaf\",my place,\"Layla, Claire\"\ne30457,2019/02/13,poke,my place,\"Andrew, Emily, Carter, Kayden\"\ne30473,2019/03/29,\"macaroni and cheese, so-easy sloppy joes, thai noodle salad\",my place,\"Benjamin, Jackson, Willow\"\ne30522,2019/06/29,asian slaw,my place,\"Hazel, Piper, Rylee, Avery\"\ne30523,2019/07/01,\"chocolate chip cookie in a mug, lemon meringue cookies, birthday cupcakes with white wine buttercream\",my place,\"Emily, Kayden, Andrew, Carter\"\ne30549,2019/08/21,\"giant cinnamon roll, carrot cake, chocolate-chip mug brownie\",my place,\"Carter, Emily\"\ne30553,2019/08/31,hungarian chicken paprikash,my place,\"Kayden, Carter, Andrew, Emily\"\ne30558,2019/09/07,\"lemon meringue cookies, cheater’s mini rhubarb galettes, chocolate-chip mug brownie\",my place,\"Benjamin, Jackson, Willow\"\ne30578,2019/10/17,brown sugar-pear puff pastries,my place,\"Andrew, Emily, Carter, Kayden\"\ne30590,2019/11/10,chinese broccoli with oyster sauce,my place,\"Willow, Jackson, Benjamin, Avery\"\ne30594,2019/11/17,brownies,my place,Carter\ne30599,2019/11/19,turkey shepherd’s pie,my place,\"Olivia, Avery, Claire, Nora\"\ne30619,2019/12/27,\"salmon chowder, traditional meat loaf\",my place,\"Eva, Piper, Rylee\"\ne33811,2020/01/26,\"carrot cake, peanut butter cookies\",my place,\"Kayden, Emily, Andrew\"\ne33822,2020/02/06,\"naan bread, ground turkey vegetable soup\",my place,\"Emily, Andrew, Kayden, Carter\"\ne33833,2020/02/22,\"gluten-free apple rose tart, blackberry jam pie-crust straws, easy chocolate marshmallow cups\",my place,\"Andrew, Kayden\"\ne33861,2020/04/20,blackberry jam pie-crust straws,my place,\"Carter, Andrew, Emily\"\ne33865,2020/04/24,\"gado gado, cream of celery soup recipe, ground turkey vegetable soup\",my place,Jackson\ne33866,2020/04/28,chicken cordon bleu skillet,my place,\"Jackson, Avery, Benjamin\"\ne33877,2020/05/17,\"beef and broccoli, tender salsa beef\",my place,Andrew\ne33891,2020/06/16,traditional meat loaf,my place,\"Avery, Claire\"\ne33894,2020/06/21,vietnamese coffee,my place,\"Jackson, Benjamin, Avery\"\ne33898,2020/06/25,favorite chicken potpie,my place,\"Kayden, Emily, Andrew, Carter\"\ne33924,2020/08/15,\"chocolate-chip mug brownie, easy cherry skillet cake\",my place,\"Benjamin, Avery, Willow\"\ne33934,2020/08/31,cream-filled bundt cake,my place,Carter\ne33938,2020/09/03,\"macaroni and cheese, ramen noodle stir-fry\",my place,\"Emily, Carter, Andrew, Kayden\"\ne33961,2020/10/10,vegan sugar cookies,my place,\"Kayden, Andrew, Carter, Emily\"\ne33964,2020/10/15,\"pistachio oat squares, dessert nachos, easy chocolate marshmallow cups\",my place,\"Carter, Kayden\"\ne33991,2020/12/03,\"vietnamese coffee, asian slaw, favorite chicken potpie\",my place,Emily\ne37203,2021/01/04,\"scallion pancake, asian slaw, hungarian chicken paprikash\",my place,\"Kayden, Emily, Carter\"\ne37204,2021/01/05,\"fig tarte tatin, cranberry apple danish\",my place,Emily\ne37215,2021/02/01,thai noodle salad,my place,\"Andrew, Kayden, Emily\"\ne37234,2021/03/16,\"pistachio oat squares, dessert nachos\",my place,\"Hazel, Layla, Avery\"\ne37243,2021/04/01,\"macaroni and cheese, chinese chicken wings, shrimp quesadilla\",my place,\"Layla, Rylee, Claire, Kinsley\"\ne37244,2021/03/26,blackberry-raspberry skillet cobbler,my place,Carter\ne37248,2021/04/02,\"turkey shepherd’s pie, shrimp quesadilla, instant pot whole chicken\",my place,\"Emily, Andrew\"\ne37267,2021/05/09,\"blackberry jam pie-crust straws, easy cherry skillet cake\",my place,\"Kayden, Emily, Carter\"\ne37271,2021/05/15,swedish meatball recipe,my place,\"Carter, Kayden, Andrew\"\ne37279,2021/06/01,\"blackberry-raspberry skillet cobbler, cheater’s mini rhubarb galettes\",my place,\"Piper, Hazel, Nora, Eva\"\ne37285,2021/06/10,chow mein,my place,Andrew\ne37289,2021/06/15,\"giant cinnamon roll, chocolate skillet cake\",my place,\"Willow, Avery, Benjamin\"\ne37300,2021/07/09,\"macaroni and cheese, scallion pancake, cream of celery soup recipe\",my place,\"Jackson, Willow\"\ne37301,2021/07/14,ground turkey vegetable soup,my place,\"Carter, Kayden\"\ne37329,2021/09/07,\"lo mein, ground turkey vegetable soup, hamburger stroganoff\",my place,\"Jackson, Benjamin, Avery, Willow\"\ne37356,2021/10/27,\"chocolate-chip mug brownie, easy cherry skillet cake, chocolate chip cookie in a mug\",my place,Piper\ne37394,2021/12/31,\"brown sugar-pear puff pastries, easy chocolate marshmallow cups, brownies\",my place,\"Emily, Andrew\"\ne40572,2022/01/12,\"chinese chicken wings, thai noodle salad, lo mein\",my place,\"Emily, Carter\"\ne40587,2022/02/03,vietnamese coffee,my place,\"Emily, Carter, Andrew\"\ne40601,2022/02/24,chocolate skillet cake,my place,\"Kayden, Andrew, Emily, Carter\"\ne40657,2022/06/16,\"chocolate skillet cake, dessert nachos, easy cherry skillet cake\",my place,Benjamin\ne40678,2022/07/23,blackberry-raspberry skillet cobbler,my place,\"Nora, Nevaeh, Eva, Lydia\"\ne40679,2022/07/29,\"easy cherry skillet cake, cinnamon sheet cake with cider frosting\",my place,Willow\ne40684,2022/08/02,\"peanut butter cookies, brownies\",my place,\"Kayden, Carter, Andrew, Emily\"\ne40689,2022/08/09,\"blackberry jam pie-crust straws, chocolate skillet cake\",my place,Avery\ne40694,2022/08/17,\"ground turkey vegetable soup, cashew chicken , cream of celery soup recipe\",my place,Piper\ne40705,2022/09/04,\"traditional meat loaf, chow mein, hungarian chicken paprikash\",my place,\"Olivia, Layla, Nevaeh\"\ne40706,2022/09/07,\"pistachio oat squares, cranberry apple danish, peanut butter cookies\",my place,Claire\ne40711,2022/09/14,\"chrissy teigen’s 3-ingredient chocolate mousse, cranberry apple danish, cinnamon sheet cake with cider frosting\",my place,\"Layla, Nevaeh\"\ne40719,2022/10/05,blackberry jam pie-crust straws,my place,\"Andrew, Kayden, Emily\"\ne40727,2022/10/19,homemade toaster pastries,my place,\"Carter, Emily, Andrew, Kayden\"\ne40737,2022/11/04,pistachio oat squares,my place,Eva\ne40753,2022/12/05,\"air-fryer brats, cheesy ham chowder\",my place,\"Emily, Andrew, Carter\"\ne40754,2022/12/06,contest-winning broccoli chicken casserole,my place,\"Willow, Jackson\"\ne40755,2022/12/07,\"brownies, homemade toaster pastries\",my place,Andrew\ne40759,2022/12/12,\"beef and broccoli, creamed garden potatoes and peas\",my place,\"Piper, Rylee, Layla, Nora\"\ne40760,2022/12/14,cranberry apple danish,my place,Hazel\ne40765,2022/12/18,\"ground turkey vegetable soup, salmon chowder, vietnamese coffee\",my place,\"Olivia, Kinsley, Rylee, Layla\"\ne40766,2022/12/20,\"crockpot spareribs, cashew chicken , swedish meatball recipe\",my place,Kayden\ne40770,2022/12/29,\"salmon chowder, cube steak and gravy\",my place,\"Kayden, Andrew, Emily, Carter\"\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/weekly_dating-log.csv",
    "content": "eid,date,people_string,location\ne16,2010/01/02,Leah,a boba shop\ne17,2010/01/05,Elena,a restaurant\ne21,2010/01/18,Eliana,a boba shop\ne25,2010/01/25,Wesley,a park\ne28,2010/02/02,Ariana,a restaurant\ne31,2010/02/06,Caleb,a restaurant\ne34,2010/02/20,Jade,a boba shop\ne35,2010/02/25,Lillian,a coffee Shop\ne44,2010/03/13,Jack,a coffee Shop\ne45,2010/03/15,Rylee,a restaurant\ne48,2010/03/20,Lillian,a boba shop\ne49,2010/03/25,Genesis,a park\ne50,2010/03/27,Hazel,a restaurant\ne51,2010/04/01,Anthony,a coffee Shop\ne55,2010/04/03,Charles,a boba shop\ne56,2010/04/08,Sophia,a park\ne64,2010/04/23,Brook,a restaurant\ne65,2010/04/28,Audrey,a coffee Shop\ne70,2010/05/03,Cameron,a park\ne72,2010/05/13,Isla,a coffee Shop\ne75,2010/05/18,Nolan,a boba shop\ne80,2010/05/24,Luca,a coffee Shop\ne83,2010/05/31,Caroline,a coffee Shop\ne86,2010/06/07,Lily,a restaurant\ne90,2010/06/15,Gabriella,a park\ne93,2010/06/18,Lily,a coffee Shop\ne102,2010/07/03,Daniel,a boba shop\ne103,2010/07/07,Leilani,a restaurant\ne106,2010/07/10,Mason,a restaurant\ne107,2010/07/14,Madison,a boba shop\ne110,2010/07/17,Henry,a restaurant\ne111,2010/07/19,Jaxon,a boba shop\ne114,2010/07/27,Layla,a restaurant\ne119,2010/08/01,Carson,a coffee Shop\ne123,2010/08/06,Naomi,a coffee Shop\ne124,2010/08/12,Lillian,a park\ne127,2010/08/18,Jayden,a coffee Shop\ne130,2010/08/21,Bella,a restaurant\ne131,2010/08/24,Audrey,a park\ne138,2010/09/08,Joseph,a restaurant\ne141,2010/09/11,Elijah,a park\ne142,2010/09/16,Carson,a restaurant\ne146,2010/09/17,Chloe,a park\ne147,2010/09/20,Sophia,a boba shop\ne150,2010/09/25,Nicholas,a coffee Shop\ne154,2010/10/01,Hazel,a coffee Shop\ne155,2010/10/07,Caleb,a restaurant\ne159,2010/10/13,Eliana,a coffee Shop\ne162,2010/10/15,Mike,a coffee Shop\ne166,2010/10/24,Lucy,a park\ne170,2010/10/31,Emery,a boba shop\ne171,2010/11/03,Kai,a coffee Shop\ne175,2010/11/08,Miles,a restaurant\ne178,2010/11/16,Marzieh,a coffee Shop\ne181,2010/11/23,Nolan,a park\ne184,2010/11/26,Connor,a park\ne185,2010/11/29,Alexander,a restaurant\ne187,2010/12/08,Emma,a boba shop\ne191,2010/12/10,Nolan,a restaurant\ne194,2010/12/19,Greyson,a park\ne195,2010/12/20,Elizabeth,a coffee Shop\ne197,2010/12/28,Grayson,a restaurant\ne3399,2011/01/07,Gianna,a park\ne3403,2011/01/08,Lillian,a park\ne3410,2011/01/24,Jose,a restaurant\ne3411,2011/01/28,Ariana,a restaurant\ne3414,2011/02/01,Charlotte,a boba shop\ne3417,2011/02/06,Landon,a boba shop\ne3418,2011/02/08,Jane,a boba shop\ne3422,2011/02/15,Jaxson,a park\ne3426,2011/02/25,Cooper,a restaurant\ne3431,2011/03/09,Owen,a restaurant\ne3435,2011/03/12,Greyson,a coffee Shop\ne3436,2011/03/18,Aurora,a restaurant\ne3443,2011/03/26,Alon,a coffee Shop\ne3444,2011/03/29,Gabriel,a restaurant\ne3447,2011/04/04,Savannah,a coffee Shop\ne3450,2011/04/11,Peyton,a boba shop\ne3454,2011/04/18,Jordan,a park\ne3457,2011/04/24,Brooklyn,a boba shop\ne3461,2011/04/30,Nicholas,a coffee Shop\ne3466,2011/05/08,Sarah,a restaurant\ne3467,2011/05/12,Grace,a coffee Shop\ne3471,2011/05/22,Isaiah,a coffee Shop\ne3472,2011/05/26,Ivy,a boba shop\ne3475,2011/05/31,Levi,a coffee Shop\ne3481,2011/06/16,Natalie,a coffee Shop\ne3486,2011/06/19,Anthony,a restaurant\ne3487,2011/06/22,Noah,a boba shop\ne3490,2011/06/27,Nolan,a restaurant\ne3491,2011/06/29,Jose,a park\ne3496,2011/07/05,Mia,a park\ne3504,2011/07/23,Angel,a park\ne3505,2011/07/29,Eliana,a restaurant\ne3511,2011/08/17,Parker,a park\ne3514,2011/08/22,Owen,a restaurant\ne3515,2011/08/26,Easton,a park\ne3522,2011/09/12,Wesley,a restaurant\ne3523,2011/09/14,Leilani,a boba shop\ne3526,2011/09/19,Jonathan,a park\ne3527,2011/09/22,Parker,a boba shop\ne3532,2011/09/28,Dylan,a boba shop\ne3536,2011/10/02,Nolan,a park\ne3537,2011/10/05,Sofia,a park\ne3542,2011/10/15,Cameron,a restaurant\ne3546,2011/10/24,Everly,a coffee Shop\ne3547,2011/10/28,Michael,a coffee Shop\ne3552,2011/11/05,Wesley,a coffee Shop\ne3557,2011/11/22,Evelyn,a restaurant\ne3561,2011/11/30,Lambert,a boba shop\ne3564,2011/12/04,Charlotte,a boba shop\ne3565,2011/12/06,Elizabeth,a boba shop\ne3569,2011/12/10,Serenity,a park\ne3570,2011/12/15,Maverick,a boba shop\ne3574,2011/12/21,Olivia,a boba shop\ne3577,2011/12/24,Natalie,a boba shop\ne6776,2012/01/03,Ethan,a park\ne6777,2012/01/06,Connor,a restaurant\ne6781,2012/01/14,Elias,a boba shop\ne6784,2012/01/20,Ezra,a park\ne6787,2012/01/28,Alon,a boba shop\ne6792,2012/02/08,Madeline,a restaurant\ne6795,2012/02/14,Lillian,a boba shop\ne6796,2012/02/16,Jayden,a restaurant\ne6800,2012/02/24,Benjamin,a boba shop\ne6803,2012/02/29,Nova,a boba shop\ne6807,2012/03/04,Jose,a park\ne6809,2012/03/11,Marzieh,a restaurant\ne6810,2012/03/15,Sebastian,a coffee Shop\ne6813,2012/03/24,Emma,a boba shop\ne6816,2012/03/30,Roman,a coffee Shop\ne6820,2012/04/05,Quinn,a park\ne6823,2012/04/14,Everleigh,a park\ne6826,2012/04/17,Isaiah,a coffee Shop\ne6827,2012/04/20,Skylar,a coffee Shop\ne6830,2012/04/25,Adam,a coffee Shop\ne6834,2012/05/01,Gabriel,a restaurant\ne6838,2012/05/11,Cameron,a coffee Shop\ne6840,2012/05/13,Mila,a park\ne6841,2012/05/16,Leonardo,a restaurant\ne6844,2012/05/23,Skylar,a park\ne6853,2012/06/12,Quinn,a coffee Shop\ne6854,2012/06/13,Camila,a restaurant\ne6857,2012/06/18,Jaxson,a boba shop\ne6858,2012/06/22,James,a boba shop\ne6861,2012/06/27,Owen,a park\ne6864,2012/07/06,Santiago ,a boba shop\ne6871,2012/07/15,Brook,a coffee Shop\ne6872,2012/07/23,Lily,a coffee Shop\ne6873,2012/07/27,Benjamin,a coffee Shop\ne6877,2012/08/02,Willow,a park\ne6881,2012/08/07,Peyton,a boba shop\ne6882,2012/08/10,Parker,a boba shop\ne6886,2012/08/13,Bella,a boba shop\ne6890,2012/08/19,Camila,a coffee Shop\ne6894,2012/08/28,Lydia,a boba shop\ne6895,2012/08/29,Wesley,a coffee Shop\ne6897,2012/09/02,Maya,a park\ne6905,2012/09/16,Brook,a park\ne6906,2012/09/19,Skylar,a coffee Shop\ne6910,2012/09/23,Serenity,a coffee Shop\ne6915,2012/10/05,Eli,a boba shop\ne6919,2012/10/09,Alon,a park\ne6920,2012/10/11,Savannah,a boba shop\ne6923,2012/10/15,Camila,a park\ne6926,2012/10/22,Lucy,a park\ne6927,2012/10/25,Zoey,a restaurant\ne6930,2012/11/01,Hailey,a park\ne6933,2012/11/10,Alexander,a coffee Shop\ne6937,2012/11/23,Nolan,a coffee Shop\ne6941,2012/12/01,Leah,a coffee Shop\ne6943,2012/12/02,Silas,a boba shop\ne6944,2012/12/05,Hannah,a restaurant\ne6947,2012/12/12,Josiah,a park\ne6950,2012/12/17,Elias,a boba shop\ne6951,2012/12/21,Jackson,a park\ne6955,2012/12/27,Ryan,a coffee Shop\ne10194,2013/01/01,Lydia,a restaurant\ne10200,2013/01/15,Ava,a coffee Shop\ne10203,2013/01/24,Connor,a restaurant\ne10204,2013/01/28,Landon,a park\ne10207,2013/02/02,Brooklyn,a coffee Shop\ne10212,2013/02/12,Nova,a boba shop\ne10219,2013/03/03,Dominic,a boba shop\ne10221,2013/03/05,Everett,a coffee Shop\ne10224,2013/03/14,Jack,a boba shop\ne10225,2013/03/15,Kinsley,a restaurant\ne10230,2013/03/28,Elijah,a restaurant\ne10231,2013/03/30,Jane,a park\ne10235,2013/04/08,Victoria,a restaurant\ne10242,2013/04/17,Maya,a boba shop\ne10243,2013/04/22,Mateo,a restaurant\ne10246,2013/04/27,Madelyn,a park\ne10248,2013/05/13,Quinn,a restaurant\ne10250,2013/05/16,Jameson,a park\ne10251,2013/05/17,Hazel,a coffee Shop\ne10256,2013/06/01,Mason,a boba shop\ne10259,2013/06/09,Isla,a boba shop\ne10261,2013/06/11,Roman,a park\ne10262,2013/06/16,Elizabeth,a park\ne10265,2013/06/22,Caleb,a coffee Shop\ne10269,2013/06/25,Marzieh,a park\ne10270,2013/07/01,Elijah,a park\ne10277,2013/07/22,Kennedy,a coffee Shop\ne10280,2013/07/27,Caroline,a boba shop\ne10283,2013/08/03,Luke,a park\ne10287,2013/08/07,Jackson,a coffee Shop\ne10293,2013/08/22,Quinn,a coffee Shop\ne10294,2013/08/23,Parker,a boba shop\ne10297,2013/08/29,Everleigh,a boba shop\ne10298,2013/08/30,Luke,a park\ne10302,2013/09/09,Christophe,a coffee Shop\ne10307,2013/09/20,Audrey,a coffee Shop\ne10312,2013/10/02,Eliana,a boba shop\ne10313,2013/10/05,Cora,a boba shop\ne10316,2013/10/19,Sarah,a restaurant\ne10333,2013/11/25,Evelyn,a restaurant\ne10338,2013/12/07,Luke,a park\ne10340,2013/12/12,Alon,a boba shop\ne10341,2013/12/15,Caleb,a coffee Shop\ne10344,2013/12/23,Cameron,a boba shop\ne10347,2013/12/26,Mike,a restaurant\ne13507,2014/01/03,Leilani,a boba shop\ne13508,2014/01/06,Sarah,a boba shop\ne13511,2014/01/14,Jaxon,a boba shop\ne13515,2014/01/20,Connor,a boba shop\ne13521,2014/01/31,Jackson,a park\ne13522,2014/02/01,Eliana,a boba shop\ne13527,2014/02/07,Nora,a boba shop\ne13528,2014/02/10,Santiago ,a park\ne13530,2014/02/18,Luca,a park\ne13535,2014/02/24,Jonathan,a boba shop\ne13539,2014/02/27,Alon,a park\ne13540,2014/03/03,Landon,a park\ne13548,2014/03/13,Everly,a coffee Shop\ne13549,2014/03/16,Natalia,a coffee Shop\ne13554,2014/03/25,Ellie,a coffee Shop\ne13561,2014/04/06,Jane,a park\ne13562,2014/04/11,Quinn,a coffee Shop\ne13563,2014/04/14,Mia,a boba shop\ne13567,2014/04/17,Gabriel,a coffee Shop\ne13571,2014/04/25,Victoria,a coffee Shop\ne13572,2014/04/29,Easton,a restaurant\ne13578,2014/05/13,Emma,a coffee Shop\ne13582,2014/05/14,Eliana,a restaurant\ne13586,2014/05/21,Mike,a park\ne13587,2014/05/26,Abigail,a park\ne13590,2014/06/03,Everleigh,a coffee Shop\ne13595,2014/06/08,Nova,a restaurant\ne13599,2014/06/17,Dominic,a park\ne13602,2014/06/19,Leilani,a boba shop\ne13603,2014/06/22,Jackson,a park\ne13606,2014/06/26,Mila,a park\ne13607,2014/06/30,Isla,a boba shop\ne13610,2014/07/04,Robert,a coffee Shop\ne13612,2014/07/10,Henry,a restaurant\ne13613,2014/07/13,Landon,a coffee Shop\ne13617,2014/07/18,Peyton,a restaurant\ne13618,2014/07/19,Richard,a restaurant\ne13622,2014/07/29,Jaxon,a restaurant\ne13626,2014/07/30,James,a restaurant\ne13627,2014/08/04,Levi,a restaurant\ne13629,2014/08/10,Lily,a boba shop\ne13631,2014/08/15,Lambert,a park\ne13636,2014/08/22,Hazel,a restaurant\ne13640,2014/09/01,Genesis,a restaurant\ne13644,2014/09/03,Leah,a coffee Shop\ne13645,2014/09/08,Elijah,a boba shop\ne13648,2014/09/11,Elena,a boba shop\ne13649,2014/09/14,Peyton,a coffee Shop\ne13652,2014/09/18,Josiah,a coffee Shop\ne13656,2014/09/24,Lambert,a restaurant\ne13660,2014/10/06,Wang-Chiew,a restaurant\ne13666,2014/10/10,Nicholas,a park\ne13670,2014/10/15,Ellie,a coffee Shop\ne13674,2014/10/24,Madison,a park\ne13679,2014/11/03,Madelyn,a park\ne13691,2014/11/22,Jeremiah,a restaurant\ne13695,2014/11/28,Lillian,a coffee Shop\ne13696,2014/11/30,Caleb,a boba shop\ne13700,2014/12/05,Oliver,a boba shop\ne13703,2014/12/14,Elizabeth,a park\ne13706,2014/12/17,Aaliyah,a boba shop\ne13707,2014/12/20,Benjamin,a park\ne16910,2015/01/02,Skylar,a restaurant\ne16911,2015/01/05,Jaxon,a restaurant\ne16914,2015/01/11,Jayden,a boba shop\ne16921,2015/02/02,Serenity,a coffee Shop\ne16924,2015/02/09,Charlotte,a restaurant\ne16931,2015/02/19,Samuel,a coffee Shop\ne16937,2015/03/06,Layla,a park\ne16941,2015/03/14,Ryan,a restaurant\ne16942,2015/03/15,Aiden,a restaurant\ne16946,2015/03/22,Madison,a coffee Shop\ne16949,2015/04/01,Isla,a restaurant\ne16956,2015/04/10,Aubrey,a boba shop\ne16957,2015/04/15,Joshua,a coffee Shop\ne16960,2015/04/22,Hazel,a park\ne16963,2015/04/23,Easton,a restaurant\ne16964,2015/04/26,Hannah,a restaurant\ne16968,2015/05/04,Thomas,a coffee Shop\ne16972,2015/05/07,Madeline,a coffee Shop\ne16973,2015/05/11,Xavier,a park\ne16980,2015/05/26,Layla,a boba shop\ne16984,2015/05/28,Ruby,a coffee Shop\ne16985,2015/06/02,Genesis,a coffee Shop\ne16988,2015/06/10,Everleigh,a park\ne16990,2015/06/15,Piper,a coffee Shop\ne16993,2015/07/01,Jameson,a coffee Shop\ne16996,2015/07/02,Jeremiah,a coffee Shop\ne17008,2015/08/02,Anna,a restaurant\ne17010,2015/08/07,Jane,a boba shop\ne17013,2015/08/18,Wyatt,a restaurant\ne17017,2015/08/23,Adeline,a boba shop\ne17020,2015/08/27,Ellie,a restaurant\ne17021,2015/08/30,Josiah,a park\ne17025,2015/09/03,Parker,a restaurant\ne17026,2015/09/06,Aaron,a park\ne17028,2015/09/10,Gianna,a restaurant\ne17033,2015/09/17,Sophia,a restaurant\ne17034,2015/09/22,Stella,a park\ne17038,2015/09/29,Parker,a boba shop\ne17042,2015/10/04,Grace,a coffee Shop\ne17046,2015/10/10,Natalie,a park\ne17047,2015/10/13,Hunter,a park\ne17050,2015/10/17,Aiden,a restaurant\ne17053,2015/10/25,Axel,a park\ne17058,2015/10/31,Elias,a boba shop\ne17059,2015/11/04,Austin,a boba shop\ne17062,2015/11/08,Delilah,a park\ne17065,2015/11/13,Wesley,a restaurant\ne17068,2015/11/19,Madelyn,a restaurant\ne17071,2015/11/26,Leah,a restaurant\ne17073,2015/12/03,Riley,a boba shop\ne17076,2015/12/13,Jaxon,a boba shop\ne17081,2015/12/18,Leonardo,a restaurant\ne20258,2016/01/05,Elias,a coffee Shop\ne20264,2016/01/21,Stella,a park\ne20267,2016/01/23,Wesley,a coffee Shop\ne20271,2016/02/03,Carson,a restaurant\ne20275,2016/02/13,Caleb,a park\ne20276,2016/02/15,Hunter,a coffee Shop\ne20280,2016/02/21,Roman,a park\ne20281,2016/02/25,Jayden,a park\ne20284,2016/02/27,Peyton,a coffee Shop\ne20291,2016/03/11,Elijah,a boba shop\ne20292,2016/03/14,Mila,a park\ne20295,2016/03/24,Hudson,a boba shop\ne20297,2016/03/25,Ezekiel,a restaurant\ne20298,2016/03/29,Evelyn,a park\ne20300,2016/04/07,Robert,a park\ne20304,2016/04/10,Ryan,a coffee Shop\ne20305,2016/04/11,Joshua,a park\ne20308,2016/04/15,Parker,a restaurant\ne20309,2016/04/19,Robert,a coffee Shop\ne20314,2016/04/25,Mike,a coffee Shop\ne20318,2016/05/06,Sarah,a boba shop\ne20322,2016/05/18,Josiah,a park\ne20324,2016/05/26,Addison,a boba shop\ne20327,2016/05/28,Eleanor,a park\ne20331,2016/06/07,Sarah,a coffee Shop\ne20337,2016/06/22,Josephine,a park\ne20344,2016/07/10,Aubrey,a park\ne20345,2016/07/13,Silas,a boba shop\ne20350,2016/07/17,Grayson,a restaurant\ne20351,2016/07/18,Emery,a park\ne20355,2016/07/24,Liam,a park\ne20356,2016/07/26,Grace,a coffee Shop\ne20361,2016/08/06,Elias,a restaurant\ne20365,2016/08/12,Cooper,a restaurant\ne20366,2016/08/15,Logan,a boba shop\ne20371,2016/08/28,Parker,a restaurant\ne20376,2016/09/14,Isla,a coffee Shop\ne20383,2016/09/23,Cooper,a coffee Shop\ne20390,2016/10/11,Christophe,a restaurant\ne20394,2016/10/17,Sophia,a restaurant\ne20400,2016/11/02,Elijah,a restaurant\ne20404,2016/11/06,Mia,a park\ne20408,2016/11/12,Hannah,a park\ne20409,2016/11/17,Wesley,a park\ne20413,2016/11/20,Jack,a coffee Shop\ne20416,2016/11/25,Luke,a boba shop\ne20417,2016/11/30,Logan,a park\ne20423,2016/12/15,Layla,a restaurant\ne20429,2016/12/31,Ethan,a restaurant\ne23627,2017/01/02,Autumn,a coffee Shop\ne23628,2017/01/04,Cameron,a restaurant\ne23631,2017/01/13,Chris,a park\ne23634,2017/01/21,Theodore,a restaurant\ne23637,2017/01/28,Jane,a boba shop\ne23642,2017/02/05,Camila,a park\ne23643,2017/02/11,Easton,a restaurant\ne23646,2017/02/14,Aaliyah,a boba shop\ne23647,2017/02/18,Luke,a coffee Shop\ne23652,2017/02/22,Michael,a boba shop\ne23657,2017/03/05,Leonardo,a coffee Shop\ne23661,2017/03/13,Isaiah,a park\ne23665,2017/03/25,Liam,a restaurant\ne23668,2017/03/29,Jayden,a park\ne23672,2017/04/03,Hannah,a coffee Shop\ne23673,2017/04/08,Ryan,a restaurant\ne23681,2017/04/20,Nicholas,a restaurant\ne23684,2017/04/25,Sarah,a park\ne23685,2017/04/29,Delilah,a park\ne23689,2017/05/01,Cameron,a coffee Shop\ne23693,2017/05/13,Madison,a coffee Shop\ne23696,2017/05/14,Easton,a restaurant\ne23697,2017/05/18,Evelyn,a park\ne23704,2017/05/29,Parker,a boba shop\ne23705,2017/06/01,Caroline,a boba shop\ne23710,2017/06/09,Henry,a restaurant\ne23713,2017/06/12,William,a park\ne23714,2017/06/14,Ezekiel,a restaurant\ne23723,2017/06/27,Maya,a restaurant\ne23724,2017/06/30,Austin,a boba shop\ne23729,2017/07/07,Alexander,a coffee Shop\ne23734,2017/07/09,Nicholas,a boba shop\ne23736,2017/07/18,Christian,a coffee Shop\ne23740,2017/07/25,Samuel,a coffee Shop\ne23741,2017/07/27,Leah,a coffee Shop\ne23745,2017/08/01,Zoe,a coffee Shop\ne23746,2017/08/04,Easton,a coffee Shop\ne23751,2017/08/06,Leo,a coffee Shop\ne23754,2017/08/18,Owen,a restaurant\ne23759,2017/08/26,Elena,a park\ne23764,2017/09/05,Logan,a coffee Shop\ne23772,2017/09/22,David,a restaurant\ne23775,2017/09/26,Elias,a restaurant\ne23780,2017/10/07,Quinn,a park\ne23786,2017/10/15,Luna,a boba shop\ne23787,2017/10/19,Owen,a coffee Shop\ne23795,2017/10/29,Robert,a boba shop\ne23796,2017/11/03,Elena,a restaurant\ne23800,2017/11/18,Avery,a restaurant\ne23803,2017/11/23,James,a coffee Shop\ne23808,2017/11/26,Jade,a park\ne23809,2017/11/30,Audrey,a park\ne23815,2017/12/09,Ryan,a boba shop\ne23819,2017/12/12,Jose,a coffee Shop\ne23824,2017/12/18,Hazel,a park\ne23827,2017/12/25,Roman,a park\ne23828,2017/12/28,Madelyn,a restaurant\ne27022,2018/01/10,Axel,a park\ne27027,2018/01/21,Mia,a coffee Shop\ne27031,2018/01/26,Isla,a boba shop\ne27035,2018/02/04,Sebastian,a restaurant\ne27041,2018/02/15,Emilia,a park\ne27045,2018/02/21,Piper,a restaurant\ne27046,2018/02/23,Grace,a park\ne27051,2018/03/01,Violet,a restaurant\ne27056,2018/03/06,Madeline,a boba shop\ne27063,2018/04/01,Serenity,a coffee Shop\ne27065,2018/04/08,Brooklyn,a boba shop\ne27069,2018/04/13,Wesley,a coffee Shop\ne27074,2018/04/18,Josephine,a park\ne27079,2018/04/28,Ian,a park\ne27082,2018/05/01,Kinsley,a restaurant\ne27083,2018/05/03,Matthew,a restaurant\ne27087,2018/05/17,Roman,a coffee Shop\ne27089,2018/05/21,Leonardo,a coffee Shop\ne27096,2018/06/07,Kinsley,a park\ne27100,2018/06/14,Valentina,a park\ne27102,2018/06/18,Robert,a park\ne27106,2018/06/28,James,a coffee Shop\ne27112,2018/07/11,Joseph,a boba shop\ne27113,2018/07/14,Anthony,a boba shop\ne27117,2018/07/22,Oliver,a boba shop\ne27119,2018/07/25,David,a park\ne27123,2018/07/30,Cora,a park\ne27124,2018/08/02,Sadie,a restaurant\ne27129,2018/08/07,Delilah,a restaurant\ne27130,2018/08/12,Easton,a restaurant\ne27134,2018/08/15,Camila,a park\ne27135,2018/08/17,Luna,a boba shop\ne27138,2018/08/26,Parker,a restaurant\ne27141,2018/09/01,Emma,a park\ne27145,2018/09/05,Greyson,a boba shop\ne27146,2018/09/06,Ariana,a coffee Shop\ne27151,2018/09/11,Wang-Chiew,a restaurant\ne27152,2018/09/14,Peyton,a restaurant\ne27154,2018/09/21,Adeline,a coffee Shop\ne27158,2018/09/25,Isaiah,a restaurant\ne27159,2018/09/28,Audrey,a restaurant\ne27163,2018/10/01,Jace,a restaurant\ne27168,2018/10/11,Leo,a restaurant\ne27172,2018/10/18,Brooklyn,a boba shop\ne27177,2018/10/24,Joshua,a coffee Shop\ne27178,2018/10/25,Kai,a restaurant\ne27180,2018/10/31,Eva,a boba shop\ne27184,2018/11/07,Emma,a restaurant\ne27185,2018/11/10,Ezekiel,a boba shop\ne27189,2018/11/15,Silas,a boba shop\ne27192,2018/11/29,Oliver,a park\ne27195,2018/12/07,Axel,a boba shop\ne27199,2018/12/13,Mike,a park\ne27203,2018/12/17,Mila,a park\ne27204,2018/12/22,Naomi,a restaurant\ne30438,2019/01/14,Lincoln,a boba shop\ne30445,2019/01/28,Claire,a coffee Shop\ne30448,2019/01/30,Easton,a park\ne30449,2019/02/02,Ariana,a coffee Shop\ne30458,2019/02/18,Anna,a park\ne30460,2019/02/22,Charles,a restaurant\ne30462,2019/02/26,Cooper,a boba shop\ne30464,2019/03/06,Aiden,a coffee Shop\ne30465,2019/03/11,Ellie,a restaurant\ne30470,2019/03/24,Ellie,a restaurant\ne30474,2019/03/28,Hazel,a park\ne30475,2019/03/29,Adam,a boba shop\ne30478,2019/04/02,Naomi,a boba shop\ne30480,2019/04/09,Lambert,a boba shop\ne30481,2019/04/13,Jayden,a boba shop\ne30485,2019/04/18,Anna,a restaurant\ne30486,2019/04/19,Maverick,a boba shop\ne30491,2019/04/29,Zoey,a boba shop\ne30497,2019/05/13,Thomas,a restaurant\ne30500,2019/05/15,Zoey,a coffee Shop\ne30501,2019/05/20,Anthony,a park\ne30508,2019/05/30,Cameron,a boba shop\ne30509,2019/06/03,Matthew,a park\ne30513,2019/06/10,Joseph,a park\ne30517,2019/06/13,Christophe,a restaurant\ne30519,2019/06/19,Zoey,a boba shop\ne30526,2019/07/02,Grayson,a coffee Shop\ne30527,2019/07/06,Ariana,a restaurant\ne30531,2019/07/14,Hazel,a boba shop\ne30533,2019/07/17,Colton,a boba shop\ne30534,2019/07/22,Parker,a coffee Shop\ne30538,2019/07/31,Brooklyn,a park\ne30539,2019/08/04,Alon,a park\ne30541,2019/08/08,Lily,a coffee Shop\ne30542,2019/08/10,Thomas,a park\ne30554,2019/08/29,Anthony,a restaurant\ne30555,2019/09/02,Austin,a restaurant\ne30563,2019/09/15,Athena,a coffee Shop\ne30565,2019/09/19,Jacob,a park\ne30568,2019/09/25,Violet,a park\ne30571,2019/10/07,Valentina,a restaurant\ne30575,2019/10/08,Josiah,a restaurant\ne30579,2019/10/20,Mateo,a park\ne30584,2019/10/27,Zoe,a park\ne30591,2019/11/05,James,a coffee Shop\ne30592,2019/11/09,Ruby,a park\ne30595,2019/11/15,Isla,a park\ne30600,2019/11/20,Jack,a restaurant\ne30601,2019/11/24,Noah,a park\ne30609,2019/12/12,Jonathan,a restaurant\ne30610,2019/12/16,Joseph,a park\ne30615,2019/12/22,Chris,a coffee Shop\ne30620,2019/12/25,Mila,a park\ne30621,2019/12/28,Elizabeth,a park\ne33802,2020/01/02,Wesley,a coffee Shop\ne33803,2020/01/05,David,a coffee Shop\ne33812,2020/01/23,Wang-Chiew,a coffee Shop\ne33813,2020/01/26,Ivy,a boba shop\ne33817,2020/01/29,Skylar,a boba shop\ne33818,2020/02/01,Ezra,a boba shop\ne33823,2020/02/05,Jose,a boba shop\ne33824,2020/02/10,Mike,a park\ne33828,2020/02/13,Ian,a restaurant\ne33829,2020/02/18,Leo,a restaurant\ne33836,2020/02/27,Madison,a restaurant\ne33837,2020/03/02,Madeline,a restaurant\ne33841,2020/03/06,Zoey,a park\ne33842,2020/03/10,Ella,a restaurant\ne33845,2020/03/12,Santiago ,a boba shop\ne33846,2020/03/15,Lillian,a boba shop\ne33849,2020/03/22,Genesis,a restaurant\ne33852,2020/03/27,Claire,a park\ne33853,2020/03/28,Carson,a boba shop\ne33855,2020/04/01,James,a restaurant\ne33856,2020/04/04,Lincoln,a park\ne33860,2020/04/13,Dominic,a restaurant\ne33867,2020/04/25,Santiago ,a coffee Shop\ne33871,2020/05/03,Autumn,a boba shop\ne33874,2020/05/06,Ryan,a boba shop\ne33878,2020/05/18,Jack,a park\ne33883,2020/05/28,Nora,a restaurant\ne33884,2020/06/02,Kinsley,a coffee Shop\ne33888,2020/06/05,Everett,a coffee Shop\ne33889,2020/06/07,Christophe,a coffee Shop\ne33892,2020/06/16,Roman,a coffee Shop\ne33895,2020/06/17,Sadie,a coffee Shop\ne33899,2020/06/24,Aria,a coffee Shop\ne33900,2020/06/27,David,a coffee Shop\ne33904,2020/07/02,Richard,a coffee Shop\ne33908,2020/07/09,Amelia,a coffee Shop\ne33911,2020/07/17,Sophia,a boba shop\ne33915,2020/07/27,Claire,a park\ne33921,2020/08/11,Elizabeth,a restaurant\ne33925,2020/08/17,Hunter,a coffee Shop\ne33929,2020/08/20,Anna,a boba shop\ne33930,2020/08/24,Eva,a restaurant\ne33939,2020/09/08,Rylee,a boba shop\ne33943,2020/09/11,Charles,a park\ne33948,2020/09/18,Cameron,a boba shop\ne33949,2020/09/22,Grayson,a restaurant\ne33952,2020/09/25,Grayson,a restaurant\ne33953,2020/09/26,Bella,a coffee Shop\ne33968,2020/10/27,Audrey,a restaurant\ne33971,2020/10/28,William,a boba shop\ne33973,2020/11/06,Ian,a coffee Shop\ne33977,2020/11/13,Santiago ,a park\ne33978,2020/11/16,Jade,a restaurant\ne33981,2020/11/20,Quinn,a boba shop\ne33982,2020/11/23,Silas,a restaurant\ne33987,2020/11/26,Theodore,a restaurant\ne33988,2020/11/30,Ivy,a coffee Shop\ne33992,2020/12/03,Claire,a restaurant\ne33993,2020/12/08,Ava,a coffee Shop\ne33997,2020/12/12,Joshua,a coffee Shop\ne34002,2020/12/24,Landon,a coffee Shop\ne34006,2020/12/31,Elena,a restaurant\ne37205,2021/01/03,Nora,a boba shop\ne37216,2021/02/01,Julian,a coffee Shop\ne37220,2021/02/05,Ruby,a boba shop\ne37221,2021/02/09,Gabriel,a restaurant\ne37223,2021/02/18,Jose,a restaurant\ne37226,2021/03/01,Isla,a park\ne37229,2021/03/07,Athena,a park\ne37230,2021/03/11,Ellie,a restaurant\ne37239,2021/03/22,Mia,a boba shop\ne37245,2021/03/29,Harper,a boba shop\ne37249,2021/04/08,Hunter,a restaurant\ne37252,2021/04/14,Samuel,a restaurant\ne37255,2021/04/21,Wyatt,a coffee Shop\ne37260,2021/04/27,Gabriel,a coffee Shop\ne37264,2021/05/06,Zoey,a coffee Shop\ne37272,2021/05/14,Lydia,a boba shop\ne37274,2021/05/22,Violet,a restaurant\ne37275,2021/05/24,Kennedy,a boba shop\ne37280,2021/05/28,Roman,a restaurant\ne37286,2021/06/04,Cora,a boba shop\ne37293,2021/06/24,Adrian,a park\ne37294,2021/06/28,Layla,a coffee Shop\ne37297,2021/07/03,Christophe,a boba shop\ne37309,2021/07/28,Sophie,a boba shop\ne37312,2021/08/03,Isaac,a boba shop\ne37315,2021/08/10,Adam,a restaurant\ne37317,2021/08/14,Henry,a restaurant\ne37318,2021/08/16,Aria,a park\ne37321,2021/08/22,Liam,a boba shop\ne37322,2021/08/26,Daniel,a coffee Shop\ne37324,2021/08/28,Camila,a park\ne37325,2021/08/31,Isla,a restaurant\ne37330,2021/09/08,Serenity,a park\ne37338,2021/09/20,Aaliyah,a park\ne37342,2021/09/29,Jose,a restaurant\ne37344,2021/10/05,Sarah,a park\ne37348,2021/10/09,Camila,a boba shop\ne37349,2021/10/14,Nathan,a coffee Shop\ne37352,2021/10/19,Willow,a restaurant\ne37357,2021/10/27,Stella,a coffee Shop\ne37361,2021/10/29,Ellie,a boba shop\ne37362,2021/11/01,Penelope,a coffee Shop\ne37366,2021/11/07,Natalia,a boba shop\ne37369,2021/11/18,Emery,a restaurant\ne37373,2021/11/20,Victoria,a park\ne37374,2021/11/25,Lillian,a boba shop\ne37378,2021/12/01,Ava,a park\ne37379,2021/12/05,Matthew,a restaurant\ne37380,2021/12/07,Thomas,a restaurant\ne37383,2021/12/11,Leonardo,a boba shop\ne37384,2021/12/16,Aaron,a park\ne37387,2021/12/17,Rylee,a boba shop\ne37388,2021/12/23,Amelia,a restaurant\ne40569,2022/01/01,Valentina,a restaurant\ne40570,2022/01/05,Genesis,a boba shop\ne40573,2022/01/10,Theodore,a park\ne40574,2022/01/14,Grayson,a restaurant\ne40576,2022/01/17,Maverick,a restaurant\ne40577,2022/01/20,Leonardo,a park\ne40582,2022/01/24,Parker,a coffee Shop\ne40583,2022/01/25,Ariana,a park\ne40588,2022/01/31,Christian,a coffee Shop\ne40592,2022/02/07,Mila,a coffee Shop\ne40593,2022/02/09,Aiden,a park\ne40597,2022/02/13,Leilani,a park\ne40598,2022/02/17,Amelia,a restaurant\ne40602,2022/02/25,Leah,a park\ne40605,2022/02/27,Axel,a park\ne40612,2022/03/20,Jacob,a restaurant\ne40613,2022/03/24,Easton,a boba shop\ne40615,2022/03/26,Jordan,a boba shop\ne40616,2022/03/29,Ezekiel,a boba shop\ne40620,2022/04/04,Abigail,a park\ne40621,2022/04/08,David,a park\ne40625,2022/04/10,Michael,a boba shop\ne40628,2022/04/17,Cora,a boba shop\ne40632,2022/04/23,Noah,a boba shop\ne40637,2022/04/30,John,a restaurant\ne40638,2022/05/05,Jeremiah,a boba shop\ne40641,2022/05/11,Aubrey,a park\ne40644,2022/05/14,Valentina,a boba shop\ne40645,2022/05/20,Jameson,a park\ne40652,2022/06/04,Amelia,a coffee Shop\ne40653,2022/06/08,Hailey,a coffee Shop\ne40658,2022/06/13,Adam,a restaurant\ne40659,2022/06/16,Hannah,a boba shop\ne40665,2022/06/27,Madison,a park\ne40666,2022/06/30,Mila,a coffee Shop\ne40669,2022/07/02,Ariana,a restaurant\ne40673,2022/07/11,Owen,a coffee Shop\ne40680,2022/07/23,Owen,a restaurant\ne40685,2022/08/04,Alon,a boba shop\ne40690,2022/08/06,Leah,a park\ne40691,2022/08/09,Lucas,a coffee Shop\ne40700,2022/08/29,Nathan,a coffee Shop\ne40701,2022/08/30,Richard,a park\ne40707,2022/09/06,Sofia,a park\ne40712,2022/09/10,Emilia,a park\ne40714,2022/09/18,Ezra,a coffee Shop\ne40715,2022/09/21,Adrian,a restaurant\ne40720,2022/10/05,Emily,a park\ne40723,2022/10/10,Mila,a park\ne40724,2022/10/11,Eleanor,a park\ne40728,2022/10/15,Wang-Chiew,a restaurant\ne40732,2022/10/22,Everett,a park\ne40733,2022/10/28,Addison,a coffee Shop\ne40741,2022/11/05,Penelope,a park\ne40744,2022/11/20,Aiden,a boba shop\ne40745,2022/11/24,Ryan,a boba shop\ne40750,2022/11/29,Jayden,a boba shop\ne40756,2022/12/08,Caleb,a boba shop\ne40761,2022/12/10,Logan,a boba shop\ne40762,2022/12/16,Rylee,a coffee Shop\ne40767,2022/12/18,Aaron,a boba shop\ne40771,2022/12/26,Elijah,a restaurant\ne40774,2022/12/31,Avery,a boba shop\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/weekly_grocery-log.csv",
    "content": "eid,date,fruits,drinks,toiletries,people_string\ne19,2010/01/06,\"guava, peaches, bananas, oranges\",\"soda, sports drinks, pineapple juice, milk\",body lotion,\"Piper, Eva\"\ne20,2010/01/10,bananas,sports drinks,\"toothbrush, toilet paper\",\"Layla, Lydia, Hazel\"\ne23,2010/01/17,oranges,\"tea, soda, coffee, pineapple juice\",\"conditioner, shaving cream\",\ne24,2010/01/18,\"pears, apples\",\"tea, sports drinks, orange juice, mango juice\",mouthwash,\"Benjamin, Willow\"\ne26,2010/01/24,\"blackberries, mangos\",\"sports drinks, orange juice\",\"shampoo, toothbrush\",\"Kinsley, Piper, Layla, Claire, Nevaeh, Olivia, Piper, Eva, Rylee, Avery\"\ne27,2010/01/25,\"watermelons, peaches\",pineapple juice,\"mouth wash, conditioner, paper towel, shaving cream\",\"Eva, Nora, Rylee, Lydia, Avery\"\ne29,2010/01/31,\"clementines, blackberries\",mineral water,body lotion,\ne30,2010/02/03,nectarines,\"chocolate milk, soda, orange juice, apple juice\",facial wash,\"Piper, Layla, Kinsley, Lydia, Eva, Nora, Nevaeh, Rylee, Claire\"\ne32,2010/02/05,blackberries,milk,mouthwash,\"Carter, Andrew, Emily, Kayden\"\ne33,2010/02/18,\"apricots, blackberries\",tea,\"toothpaste, mouthwash, paper towel\",\ne37,2010/02/19,\"watermelons, clementines, nectarines, peaches\",milk,\"facial wash, mouthwash\",Jackson\ne38,2010/02/24,bananas,\"chocolate milk, pineapple juice, soda, milk\",\"toothpaste, shaving cream\",\"Eva, Nevaeh, Hazel, Piper, Claire\"\ne40,2010/02/26,guava,\"chocolate milk, guava juice, tea\",\"body lotion, shaving cream, mouthwash, facial wash\",Carter\ne41,2010/03/04,\"guava, blueberries, raspberries, apples\",\"orange juice, mineral water, pineapple juice, milk\",\"body lotion, mouthwash\",\"Avery, Claire, Rylee, Layla, Nevaeh, Nora, Kinsley, Hazel, Olivia, Lydia, Eva\"\ne42,2010/03/05,\"pineapples, apples, watermelons\",\"mineral water, milk\",mouth wash,\ne43,2010/03/10,\"bananas, clementines\",\"tea, mineral water\",\"toothbrush, toothpaste, paper towel, facial wash\",\"Claire, Kinsley, Hazel, Rylee, Avery, Piper, Lydia, Eva, Nevaeh, Layla\"\ne46,2010/03/12,\"apples, peaches\",\"orange juice, milk, soda, tea\",\"shampoo, toothpaste\",\"Andrew, Emily, Carter\"\ne47,2010/03/16,\"guava, mandarins, peaches\",\"orange juice, pineapple juice\",\"mouthwash, body lotion\",Andrew\ne53,2010/03/26,\"pineapples, blackberries\",\"milk, tea\",\"facial wash, mouth wash, toilet paper, mouthwash\",\ne54,2010/03/30,\"clementines, apricots, strawberries, bananas\",\"mineral water, soda, apple juice\",\"toothpaste, mouthwash, body lotion\",\ne58,2010/04/06,\"strawberries, nectarines, pineapples\",\"orange juice, coffee, sports drinks, soda\",\"mouthwash, facial wash, conditioner\",\ne59,2010/04/10,\"strawberries, blueberries, peaches, pears\",\"soda, orange juice, sports drinks, milk\",\"mouthwash, shampoo\",Carter\ne60,2010/04/14,\"blueberries, raspberries, pineapples, watermelons\",\"guava juice, orange juice, soda\",\"body lotion, conditioner\",\ne62,2010/04/17,\"mangos, cherres\",\"soda, mineral water, pineapple juice, chocolate milk\",mouth wash,\ne63,2010/04/22,\"clementines, blueberries, peaches, pears\",mango juice,toothpaste,\ne68,2010/04/23,watermelons,\"soda, tea\",\"conditioner, shampoo\",\ne69,2010/04/29,\"watermelons, guava, strawberries\",orange juice,\"body lotion, toothpaste, toothbrush, facial wash\",Carter\ne74,2010/05/10,mandarins,soda,\"toilet paper, mouth wash, toothpaste, conditioner\",\"Piper, Piper\"\ne78,2010/05/15,\"apricots, pears, apples, mandarins\",soda,toothpaste,\"Eva, Claire, Hazel\"\ne79,2010/05/18,\"apples, strawberries, peaches, pineapples\",\"milk, sports drinks\",\"body lotion, toothbrush, paper towel, shaving cream\",Nevaeh\ne82,2010/05/25,\"raspberries, apples\",\"orange juice, coffee, apple juice\",\"toothpaste, shaving cream, facial wash\",\ne85,2010/05/30,blackberries,\"mineral water, mango juice, milk, tea\",\"shaving cream, toothpaste, toilet paper, facial wash\",\ne88,2010/06/06,\"mandarins, peaches\",\"tea, apple juice\",\"toothpaste, mouthwash, body lotion, toilet paper\",\ne89,2010/06/07,\"bananas, pineapples, mandarins\",guava juice,facial wash,\ne92,2010/06/17,\"oranges, pears, mandarins, watermelons\",sports drinks,\"mouth wash, conditioner\",\ne96,2010/06/18,\"watermelons, strawberries, pineapples\",\"mineral water, soda, sports drinks\",mouth wash,\"Avery, Lydia, Hazel\"\ne97,2010/06/23,\"nectarines, watermelons, mandarins\",\"orange juice, milk, chocolate milk\",\"toilet paper, toothpaste, conditioner, shampoo\",\ne100,2010/06/27,\"apples, blackberries, strawberries, pears\",\"apple juice, sports drinks, orange juice, milk\",toilet paper,\ne101,2010/06/28,\"oranges, cherres, watermelons\",\"apple juice, guava juice, chocolate milk\",\"mouth wash, facial wash, toothpaste, shampoo\",\"Andrew, Carter, Emily, Kayden\"\ne105,2010/07/08,\"watermelons, peaches\",\"mineral water, milk, soda\",conditioner,\ne108,2010/07/09,\"strawberries, watermelons\",\"mineral water, chocolate milk, orange juice, milk\",\"body lotion, toilet paper, shampoo, conditioner\",\"Kayden, Andrew, Emily\"\ne109,2010/07/12,\"nectarines, peaches\",chocolate milk,\"facial wash, mouth wash, shaving cream\",\ne113,2010/07/20,\"strawberries, pears, apples\",\"apple juice, chocolate milk, guava juice, mineral water\",\"body lotion, conditioner, shampoo\",\"Willow, Jackson, Avery, Benjamin\"\ne117,2010/07/23,\"strawberries, pears, watermelons\",\"pineapple juice, mango juice, chocolate milk\",body lotion,\"Andrew, Kayden\"\ne118,2010/07/27,\"blueberries, raspberries, oranges, mandarins\",\"chocolate milk, guava juice, mineral water, milk\",\"mouth wash, toothbrush, shampoo\",\"Carter, Andrew, Emily\"\ne121,2010/07/30,\"blueberries, cherres, mangos\",\"guava juice, soda\",\"facial wash, toothpaste, toilet paper\",\"Kayden, Carter\"\ne122,2010/08/05,\"strawberries, raspberries\",\"orange juice, mango juice, coffee\",shampoo,\ne126,2010/08/09,\"cherres, oranges, pears\",\"orange juice, pineapple juice, milk\",\"paper towel, mouthwash, mouth wash, facial wash\",\ne129,2010/08/17,\"strawberries, clementines, mandarins, peaches\",\"orange juice, pineapple juice\",\"toothpaste, toothbrush, mouthwash\",\"Avery, Benjamin, Jackson, Willow\"\ne133,2010/08/20,\"blackberries, mangos, nectarines, guava\",\"chocolate milk, sports drinks, pineapple juice\",\"body lotion, conditioner, toilet paper\",\"Emily, Carter, Kayden, Andrew\"\ne134,2010/08/25,\"oranges, apricots\",chocolate milk,\"conditioner, body lotion\",\ne136,2010/08/27,guava,\"guava juice, chocolate milk\",\"toilet paper, mouth wash, conditioner, shampoo\",\ne137,2010/09/01,\"nectarines, clementines\",\"guava juice, tea, mango juice\",conditioner,\ne140,2010/09/07,\"pears, oranges\",\"mineral water, chocolate milk\",\"toilet paper, facial wash, paper towel\",\ne144,2010/09/11,oranges,mineral water,\"toothpaste, toilet paper\",\ne145,2010/09/15,peaches,guava juice,\"shaving cream, toilet paper\",\"Piper, Olivia, Nora\"\ne148,2010/09/19,\"guava, apples, blueberries\",\"guava juice, pineapple juice, orange juice, chocolate milk\",mouth wash,Hazel\ne149,2010/09/21,apricots,\"tea, sports drinks, chocolate milk\",\"shaving cream, toothbrush, toilet paper\",Willow\ne152,2010/09/25,\"mandarins, pears\",mango juice,\"facial wash, toothpaste, toothbrush, toilet paper\",\ne153,2010/09/28,\"raspberries, guava, bananas, watermelons\",\"tea, chocolate milk, mineral water, apple juice\",\"facial wash, mouthwash, toilet paper\",\"Carter, Kayden, Andrew\"\ne157,2010/10/03,\"apples, apricots\",\"chocolate milk, milk, tea, sports drinks\",\"conditioner, body lotion\",\"Claire, Piper, Nevaeh, Olivia, Rylee, Nora, Lydia, Kinsley, Layla, Hazel, Eva, Avery\"\ne158,2010/10/07,\"cherres, blueberries\",\"mango juice, milk, mineral water\",\"toothbrush, paper towel\",\ne160,2010/10/09,peaches,milk,\"toilet paper, mouth wash, shaving cream\",\"Kayden, Emily, Andrew\"\ne161,2010/10/13,\"pineapples, raspberries\",\"sports drinks, guava juice, coffee\",\"facial wash, conditioner\",\"Piper, Claire, Piper, Nora, Olivia, Nevaeh, Lydia, Avery, Eva\"\ne164,2010/10/15,\"apricots, nectarines, strawberries\",\"coffee, sports drinks, apple juice, mango juice\",\"facial wash, toothpaste, shampoo\",\ne165,2010/10/20,pineapples,\"sports drinks, pineapple juice\",\"toothbrush, toilet paper, facial wash\",\"Olivia, Nevaeh, Rylee, Layla, Claire, Piper, Piper\"\ne168,2010/10/24,pineapples,\"orange juice, guava juice\",toothpaste,\"Kayden, Carter, Andrew\"\ne169,2010/10/25,apricots,\"chocolate milk, apple juice, mineral water, tea\",\"shaving cream, shampoo, mouthwash\",\ne173,2010/10/31,\"bananas, guava, mandarins, mangos\",\"sports drinks, milk\",facial wash,\ne174,2010/11/04,\"oranges, apples, strawberries\",\"milk, soda\",\"conditioner, shampoo\",Hazel\ne176,2010/11/05,\"oranges, watermelons\",\"guava juice, coffee, milk\",shampoo,\ne177,2010/11/11,\"guava, mangos, oranges\",\"tea, mineral water\",\"shaving cream, paper towel, conditioner\",Avery\ne180,2010/11/17,\"blackberries, bananas, pears, oranges\",\"soda, orange juice, mango juice, tea\",\"paper towel, conditioner, toothbrush\",\ne183,2010/11/22,\"pears, oranges, clementines, bananas\",chocolate milk,\"mouth wash, toothbrush, facial wash\",\ne186,2010/11/30,\"strawberries, guava\",soda,paper towel,\"Eva, Piper, Hazel, Olivia, Claire, Lydia, Nevaeh\"\ne189,2010/12/05,\"raspberries, clementines, oranges, guava\",\"milk, apple juice, soda, tea\",\"paper towel, toothbrush, mouth wash, mouthwash\",\ne190,2010/12/06,\"pineapples, apricots\",\"coffee, orange juice, chocolate milk, tea\",\"toothpaste, mouth wash\",\"Avery, Willow, Jackson, Benjamin\"\ne193,2010/12/14,\"blackberries, oranges, nectarines, apples\",\"coffee, apple juice, sports drinks, mineral water\",\"toilet paper, toothpaste\",\"Andrew, Carter, Emily\"\ne196,2010/12/23,\"apples, oranges\",\"guava juice, orange juice, mango juice\",mouth wash,\ne200,2010/12/26,\"strawberries, apricots, oranges\",guava juice,toilet paper,Andrew\ne201,2010/12/27,\"apricots, pears, pineapples\",pineapple juice,\"mouthwash, mouth wash, toothbrush\",\"Emily, Carter, Kayden\"\ne3401,2011/01/01,guava,\"sports drinks, pineapple juice, chocolate milk, milk\",\"toilet paper, body lotion, shaving cream, mouthwash\",\ne3402,2011/01/06,\"guava, nectarines\",chocolate milk,\"paper towel, toothbrush\",\"Carter, Emily\"\ne3405,2011/01/10,\"raspberries, cherres, apricots\",\"orange juice, pineapple juice, sports drinks, tea\",\"paper towel, facial wash\",\"Emily, Andrew\"\ne3406,2011/01/13,\"pineapples, raspberries, guava\",\"milk, apple juice\",toothpaste,\ne3409,2011/01/18,mangos,orange juice,\"mouthwash, shaving cream\",\ne3413,2011/01/23,guava,\"coffee, apple juice, orange juice, chocolate milk\",\"mouth wash, shaving cream, facial wash, toothpaste\",\"Andrew, Kayden, Emily, Carter\"\ne3415,2011/01/29,\"apricots, blueberries, cherres, mandarins\",\"chocolate milk, mango juice, guava juice, milk\",\"facial wash, toilet paper, shaving cream, toothpaste\",\"Jackson, Benjamin, Avery\"\ne3416,2011/02/04,\"raspberries, mangos, pears, nectarines\",pineapple juice,\"shampoo, toilet paper\",\ne3420,2011/02/06,raspberries,pineapple juice,\"mouth wash, facial wash\",Carter\ne3421,2011/02/10,clementines,\"chocolate milk, coffee, soda\",\"toothbrush, toothpaste\",\ne3424,2011/02/14,pineapples,\"tea, soda\",\"toothbrush, body lotion, shaving cream, shampoo\",\"Andrew, Emily, Kayden\"\ne3425,2011/02/16,watermelons,mango juice,\"conditioner, mouth wash\",\ne3427,2011/02/20,\"pears, apples, raspberries, strawberries\",coffee,\"conditioner, facial wash\",\ne3428,2011/02/25,\"pineapples, clementines\",guava juice,\"mouthwash, conditioner, toothpaste\",\ne3429,2011/02/26,\"apples, pineapples, raspberries, apricots\",\"mineral water, coffee, guava juice\",\"mouth wash, body lotion, paper towel, shaving cream\",\"Carter, Kayden, Andrew\"\ne3430,2011/03/01,\"oranges, blackberries, bananas, strawberries\",\"orange juice, pineapple juice\",\"mouthwash, conditioner, mouth wash\",\"Kayden, Emily, Andrew, Carter\"\ne3433,2011/03/05,\"strawberries, cherres, apples\",soda,\"body lotion, paper towel\",\"Andrew, Kayden, Carter\"\ne3434,2011/03/08,\"strawberries, nectarines, clementines, raspberries\",pineapple juice,\"toothpaste, paper towel, toothbrush, mouth wash\",\"Emily, Carter, Kayden, Andrew\"\ne3438,2011/03/14,\"pineapples, nectarines, peaches, mangos\",\"coffee, milk\",\"mouth wash, mouthwash\",\"Willow, Jackson, Avery, Benjamin\"\ne3439,2011/03/15,\"cherres, apples, apricots, nectarines\",\"mango juice, mineral water, soda, milk\",\"facial wash, conditioner\",\ne3441,2011/03/21,\"strawberries, watermelons, clementines, blueberries\",\"coffee, milk, guava juice\",facial wash,\"Kayden, Andrew, Carter, Emily\"\ne3442,2011/03/23,\"blueberries, mangos, pears\",\"coffee, orange juice\",\"body lotion, facial wash, mouthwash, shaving cream\",Kayden\ne3446,2011/03/30,\"watermelons, pears, peaches, strawberries\",\"milk, mineral water\",\"body lotion, mouthwash, facial wash, shampoo\",Emily\ne3448,2011/04/03,\"raspberries, cherres\",guava juice,\"body lotion, mouth wash, shaving cream, paper towel\",\"Claire, Hazel, Olivia, Layla, Piper, Nevaeh\"\ne3449,2011/04/06,apricots,\"chocolate milk, coffee, mineral water\",\"mouth wash, toilet paper, facial wash\",\"Kinsley, Avery\"\ne3452,2011/04/09,apricots,\"guava juice, apple juice, sports drinks, coffee\",\"shaving cream, toothbrush, paper towel\",\"Nora, Rylee, Kinsley, Layla, Olivia, Lydia, Avery, Claire, Piper\"\ne3453,2011/04/12,\"cherres, clementines, peaches, nectarines\",\"soda, guava juice\",\"shampoo, paper towel, toilet paper\",\"Andrew, Kayden\"\ne3456,2011/04/22,\"watermelons, apples, bananas\",\"soda, mineral water\",body lotion,\"Carter, Kayden, Andrew\"\ne3459,2011/04/24,\"bananas, watermelons, peaches\",\"pineapple juice, tea, milk, apple juice\",\"mouthwash, mouth wash\",\"Kayden, Carter, Emily, Andrew\"\ne3460,2011/04/27,\"blackberries, guava\",\"sports drinks, mineral water, tea, apple juice\",\"shaving cream, body lotion, paper towel\",\"Olivia, Nevaeh, Piper, Claire, Hazel, Piper, Rylee, Nora, Eva, Layla, Avery\"\ne3464,2011/04/30,\"apples, nectarines, guava\",\"coffee, guava juice, orange juice\",\"body lotion, facial wash\",\ne3465,2011/05/04,blackberries,soda,shampoo,\ne3468,2011/05/09,blackberries,mineral water,\"toothbrush, shampoo, toothpaste, facial wash\",\ne3469,2011/05/13,pears,\"sports drinks, mineral water, mango juice\",\"paper towel, shampoo, conditioner\",\ne3473,2011/05/21,clementines,sports drinks,\"toothpaste, toothbrush\",\ne3474,2011/05/24,\"clementines, pears, nectarines\",\"milk, coffee, soda, pineapple juice\",shampoo,\"Avery, Benjamin\"\ne3476,2011/05/28,\"peaches, oranges, watermelons\",\"mineral water, milk\",\"paper towel, mouthwash, mouth wash\",\"Kayden, Emily, Andrew\"\ne3477,2011/06/01,oranges,\"coffee, soda, tea\",\"toothpaste, mouthwash\",\"Layla, Kinsley, Eva, Nevaeh, Hazel, Claire, Piper, Nora, Rylee, Olivia\"\ne3479,2011/06/06,\"blueberries, blackberries, clementines\",\"chocolate milk, guava juice, sports drinks, mango juice\",paper towel,\ne3480,2011/06/09,nectarines,\"tea, milk, chocolate milk, sports drinks\",\"mouthwash, mouth wash\",\"Kayden, Andrew, Carter\"\ne3484,2011/06/11,\"bananas, pineapples, blackberries, blueberries\",mango juice,facial wash,\ne3485,2011/06/15,\"bananas, apricots, pineapples, mangos\",tea,toilet paper,\"Andrew, Emily, Carter\"\ne3488,2011/06/20,\"clementines, mangos, cherres\",\"mineral water, guava juice\",\"shaving cream, mouth wash\",\ne3489,2011/06/24,bananas,\"mango juice, orange juice, apple juice, milk\",\"body lotion, shaving cream, facial wash\",\ne3494,2011/06/25,\"clementines, strawberries, pears\",orange juice,toothbrush,\ne3495,2011/06/30,\"blueberries, apples, blackberries\",\"chocolate milk, guava juice\",\"paper towel, facial wash\",\ne3498,2011/07/04,\"nectarines, blackberries, apples\",\"milk, coffee, soda\",\"paper towel, body lotion, conditioner\",\"Kayden, Andrew, Carter, Emily\"\ne3499,2011/07/07,\"watermelons, pears\",\"sports drinks, orange juice, soda, mineral water\",\"conditioner, toothbrush, facial wash\",\ne3501,2011/07/11,\"pears, cherres\",\"pineapple juice, chocolate milk, tea\",\"body lotion, toothbrush\",\ne3502,2011/07/14,\"oranges, pears\",\"soda, chocolate milk, coffee, pineapple juice\",shampoo,\"Nevaeh, Piper, Rylee, Kinsley, Hazel, Eva, Layla\"\ne3503,2011/07/22,\"blackberries, guava, pineapples\",\"pineapple juice, apple juice, mango juice, tea\",\"mouthwash, shampoo\",\ne3506,2011/07/25,watermelons,chocolate milk,\"toothbrush, mouth wash\",\"Andrew, Kayden\"\ne3507,2011/07/27,apples,\"sports drinks, tea\",\"conditioner, paper towel, shampoo, shaving cream\",\"Jackson, Avery, Willow, Benjamin\"\ne3508,2011/07/30,\"clementines, strawberries\",soda,\"body lotion, mouth wash\",\ne3509,2011/08/03,\"pineapples, blackberries\",soda,\"mouthwash, toilet paper, mouth wash, shampoo\",\"Avery, Jackson\"\ne3510,2011/08/09,\"peaches, cherres\",\"mango juice, tea\",\"toothpaste, shampoo\",\"Kayden, Carter\"\ne3513,2011/08/19,\"mangos, oranges, apples, peaches\",\"apple juice, coffee, mineral water\",\"mouthwash, toothpaste, conditioner, body lotion\",\"Andrew, Emily, Kayden, Carter\"\ne3517,2011/08/26,pears,\"sports drinks, coffee, mango juice, orange juice\",\"toilet paper, mouthwash, shampoo, facial wash\",\ne3519,2011/08/31,apricots,\"apple juice, guava juice, pineapple juice, milk\",\"shampoo, toothbrush, facial wash\",\ne3521,2011/09/08,\"guava, apricots\",\"soda, pineapple juice\",\"body lotion, facial wash\",\ne3524,2011/09/11,\"peaches, blackberries\",\"chocolate milk, soda, coffee, orange juice\",\"toilet paper, mouth wash, toothbrush, paper towel\",\"Emily, Andrew, Kayden, Carter\"\ne3525,2011/09/15,peaches,\"milk, sports drinks\",toothpaste,\"Kayden, Emily, Andrew, Carter\"\ne3530,2011/09/19,\"clementines, oranges\",soda,\"shampoo, facial wash, body lotion\",\"Kayden, Carter, Andrew, Emily\"\ne3531,2011/09/22,\"blackberries, blueberries, strawberries\",\"mineral water, milk\",\"shampoo, mouthwash\",\"Hazel, Layla, Piper, Olivia, Eva, Avery, Nora\"\ne3534,2011/09/26,\"blueberries, strawberries, pears, apricots\",soda,\"mouth wash, conditioner, toothbrush\",\ne3535,2011/09/30,\"blueberries, apples\",\"sports drinks, soda\",\"toothbrush, facial wash, toilet paper, body lotion\",\"Kinsley, Avery, Nora\"\ne3539,2011/10/02,\"watermelons, guava, bananas, oranges\",\"tea, milk, orange juice, guava juice\",\"conditioner, mouthwash, toothbrush\",\ne3540,2011/10/05,\"blackberries, nectarines\",\"guava juice, tea, chocolate milk\",\"mouth wash, toothpaste\",\ne3541,2011/10/13,\"raspberries, cherres, clementines, bananas\",\"apple juice, mineral water\",facial wash,\"Carter, Andrew, Kayden\"\ne3544,2011/10/16,\"blackberries, clementines\",mineral water,\"mouthwash, facial wash, shaving cream\",\"Carter, Andrew, Kayden\"\ne3545,2011/10/18,\"pears, guava\",\"coffee, apple juice\",\"paper towel, toothpaste, toothbrush, facial wash\",\"Kayden, Emily, Andrew\"\ne3549,2011/10/28,\"strawberries, peaches, pears, pineapples\",\"tea, pineapple juice, soda\",\"toothbrush, facial wash, mouthwash\",\ne3550,2011/10/31,\"mangos, guava, pineapples\",\"apple juice, tea, coffee\",\"toilet paper, mouthwash, shampoo, shaving cream\",\ne3551,2011/11/04,\"strawberries, cherres, blueberries\",\"tea, soda\",\"toothpaste, body lotion, shampoo\",\"Willow, Avery\"\ne3554,2011/11/05,\"mangos, clementines, blackberries\",orange juice,\"shampoo, toothpaste, conditioner\",\ne3555,2011/11/08,\"oranges, blackberries\",\"milk, apple juice\",\"facial wash, shampoo, shaving cream\",\"Andrew, Emily\"\ne3556,2011/11/18,\"cherres, pineapples, guava\",\"sports drinks, soda\",\"shampoo, body lotion, mouth wash\",\"Jackson, Avery, Benjamin, Willow\"\ne3559,2011/11/20,peaches,\"chocolate milk, mango juice, sports drinks, pineapple juice\",toothpaste,\"Jackson, Avery\"\ne3560,2011/11/23,\"cherres, raspberries, oranges\",\"pineapple juice, milk, orange juice, mineral water\",toothpaste,\ne3562,2011/11/28,\"pears, blackberries, blueberries, watermelons\",\"soda, guava juice\",\"mouthwash, shampoo, paper towel\",\"Piper, Eva, Piper, Claire\"\ne3563,2011/11/29,\"cherres, apples, guava\",\"guava juice, tea\",\"facial wash, paper towel, toilet paper\",\ne3567,2011/12/03,strawberries,apple juice,\"conditioner, shampoo\",\ne3568,2011/12/09,peaches,\"apple juice, milk, soda\",\"conditioner, facial wash, body lotion, mouth wash\",Kayden\ne3572,2011/12/11,\"mandarins, blackberries\",\"soda, apple juice\",\"toothbrush, paper towel, mouth wash, conditioner\",\ne3573,2011/12/13,\"blueberries, guava\",guava juice,\"body lotion, mouth wash, paper towel, shaving cream\",\"Rylee, Lydia, Avery, Nevaeh\"\ne3576,2011/12/17,watermelons,tea,\"toilet paper, conditioner, body lotion\",\"Nora, Claire, Eva, Piper, Nevaeh, Layla, Rylee, Kinsley, Olivia, Piper\"\ne3579,2011/12/29,\"raspberries, peaches\",\"milk, chocolate milk, sports drinks, apple juice\",\"shaving cream, conditioner, mouthwash\",Andrew\ne3580,2011/12/31,\"blueberries, blackberries, guava, oranges\",\"milk, mango juice\",\"toothpaste, shaving cream\",\ne6779,2012/01/03,\"mangos, watermelons, apples, peaches\",\"sports drinks, mango juice, soda\",facial wash,\ne6780,2012/01/07,\"strawberries, oranges\",mineral water,facial wash,\ne6783,2012/01/13,\"clementines, nectarines, pears\",pineapple juice,facial wash,Andrew\ne6785,2012/01/16,\"bananas, blueberries, mandarins\",\"sports drinks, apple juice, coffee\",\"facial wash, mouthwash, conditioner\",Andrew\ne6786,2012/01/19,\"blueberries, bananas, pears\",\"tea, apple juice\",paper towel,\"Piper, Rylee, Hazel, Layla, Piper, Olivia, Avery, Nevaeh\"\ne6788,2012/01/26,\"guava, cherres, bananas\",mineral water,\"conditioner, toothbrush, facial wash\",\ne6790,2012/01/29,\"bananas, watermelons, apricots, strawberries\",\"pineapple juice, mineral water, mango juice\",\"shampoo, mouthwash, toothbrush, toilet paper\",\ne6791,2012/02/02,peaches,\"mineral water, milk, pineapple juice\",\"facial wash, conditioner\",\ne6793,2012/02/07,bananas,\"sports drinks, tea\",\"shaving cream, conditioner, facial wash\",\ne6794,2012/02/08,\"strawberries, apricots\",mineral water,\"toothpaste, toothbrush, shampoo, shaving cream\",\"Carter, Emily, Andrew\"\ne6799,2012/02/17,\"pears, mandarins\",mineral water,conditioner,\ne6802,2012/02/22,\"blueberries, clementines\",\"pineapple juice, apple juice\",\"shaving cream, mouth wash\",Kayden\ne6805,2012/02/28,watermelons,\"pineapple juice, guava juice, mango juice\",\"toothpaste, toilet paper, toothbrush, facial wash\",\ne6806,2012/03/02,\"nectarines, cherres, clementines, mandarins\",\"apple juice, pineapple juice, mango juice\",\"conditioner, paper towel\",\ne6808,2012/03/04,\"apricots, raspberries, guava, oranges\",guava juice,mouthwash,\ne6812,2012/03/14,\"cherres, oranges, mangos\",tea,\"conditioner, toothpaste\",\ne6814,2012/03/18,\"pears, strawberries, apples, nectarines\",\"orange juice, mineral water, soda\",\"shampoo, facial wash, shaving cream, paper towel\",\"Carter, Emily\"\ne6815,2012/03/21,\"mangos, raspberries, oranges\",chocolate milk,\"shampoo, shaving cream\",\"Benjamin, Jackson, Willow\"\ne6818,2012/03/25,mandarins,\"chocolate milk, sports drinks, coffee\",\"toothbrush, shampoo, body lotion, conditioner\",\ne6819,2012/03/31,\"mandarins, oranges, blueberries\",\"soda, mango juice\",\"shampoo, mouth wash, body lotion\",\ne6822,2012/04/05,\"watermelons, raspberries, peaches, nectarines\",\"soda, milk, chocolate milk, tea\",facial wash,\"Kayden, Andrew, Carter, Emily\"\ne6824,2012/04/10,apricots,\"tea, guava juice, pineapple juice, orange juice\",\"shaving cream, body lotion\",\ne6825,2012/04/13,watermelons,\"chocolate milk, soda, sports drinks\",\"conditioner, shampoo\",\ne6828,2012/04/17,peaches,\"apple juice, mango juice\",\"shampoo, paper towel, toothbrush, shaving cream\",\ne6829,2012/04/19,mangos,soda,mouthwash,\ne6832,2012/04/22,\"blackberries, watermelons, pears\",\"tea, milk, mango juice\",\"shaving cream, mouthwash\",\ne6833,2012/04/25,\"apples, bananas, strawberries\",\"tea, pineapple juice, mango juice\",\"mouth wash, toilet paper, body lotion\",\"Olivia, Lydia, Kinsley, Avery, Eva, Nevaeh\"\ne6836,2012/04/30,\"strawberries, clementines, bananas, blackberries\",\"orange juice, mineral water, coffee, tea\",\"toilet paper, shampoo, conditioner\",\"Piper, Layla, Nevaeh, Rylee, Avery\"\ne6837,2012/05/02,pears,\"tea, sports drinks, pineapple juice\",shampoo,\ne6839,2012/05/10,\"pineapples, clementines, guava\",\"mango juice, mineral water, orange juice, coffee\",\"facial wash, toothbrush, paper towel\",\ne6842,2012/05/15,\"mandarins, guava\",mineral water,\"body lotion, toothpaste, conditioner\",\"Kayden, Andrew, Emily\"\ne6843,2012/05/18,clementines,\"soda, chocolate milk, apple juice\",body lotion,\"Carter, Kayden, Emily\"\ne6845,2012/05/22,\"blackberries, apricots\",apple juice,toothbrush,\"Willow, Jackson, Benjamin, Avery\"\ne6846,2012/05/25,\"apricots, pears\",\"soda, sports drinks, guava juice, orange juice\",\"shaving cream, conditioner, mouth wash\",\ne6848,2012/05/27,peaches,\"milk, coffee, apple juice\",\"conditioner, shaving cream, facial wash\",Emily\ne6849,2012/05/30,\"blueberries, cherres\",\"milk, soda, mango juice\",\"shaving cream, toilet paper\",\"Avery, Layla, Eva, Hazel, Piper\"\ne6852,2012/06/05,\"guava, mangos, nectarines\",\"apple juice, coffee, mango juice\",\"toilet paper, shaving cream, mouthwash, conditioner\",\"Hazel, Layla, Eva, Piper, Rylee\"\ne6856,2012/06/15,\"bananas, apples\",\"apple juice, milk, tea\",\"conditioner, mouthwash\",\"Kinsley, Piper, Nora, Piper, Layla, Lydia, Nevaeh\"\ne6859,2012/06/17,clementines,apple juice,\"toilet paper, shampoo, facial wash\",\"Avery, Benjamin, Willow\"\ne6860,2012/06/20,\"clementines, bananas\",\"mango juice, tea, chocolate milk, coffee\",\"toothbrush, facial wash, conditioner, shampoo\",Jackson\ne6862,2012/06/25,pears,\"soda, mineral water, tea\",\"paper towel, toothbrush\",\"Kayden, Emily, Carter, Andrew\"\ne6863,2012/06/28,\"bananas, guava, blackberries\",\"sports drinks, orange juice\",\"shampoo, mouth wash, toothpaste, paper towel\",\"Benjamin, Avery, Jackson, Willow\"\ne6867,2012/07/06,\"strawberries, pineapples\",\"mineral water, orange juice, coffee\",\"facial wash, shampoo, toilet paper\",\"Nevaeh, Lydia\"\ne6870,2012/07/14,\"nectarines, pineapples, bananas\",milk,toilet paper,\"Willow, Benjamin, Avery, Jackson\"\ne6875,2012/07/24,\"strawberries, guava, mandarins\",soda,\"shampoo, toilet paper\",\"Piper, Piper, Rylee, Hazel, Avery, Nevaeh, Claire, Nora, Olivia, Kinsley, Lydia\"\ne6876,2012/07/25,nectarines,tea,toilet paper,\ne6879,2012/07/30,peaches,\"sports drinks, chocolate milk\",\"facial wash, mouthwash, shampoo, paper towel\",\ne6880,2012/08/01,\"mangos, raspberries\",soda,\"paper towel, mouth wash\",\ne6884,2012/08/05,\"pears, apricots\",\"orange juice, mineral water, chocolate milk, milk\",\"shaving cream, mouthwash, shampoo\",\"Carter, Andrew, Kayden\"\ne6885,2012/08/10,guava,\"mango juice, soda\",\"shampoo, toilet paper, conditioner\",\"Kayden, Emily\"\ne6889,2012/08/12,blackberries,\"orange juice, sports drinks, tea\",mouth wash,Benjamin\ne6892,2012/08/21,oranges,\"mango juice, chocolate milk, orange juice\",\"paper towel, shaving cream, facial wash\",\ne6893,2012/08/22,mangos,soda,\"shaving cream, mouth wash, toilet paper\",\"Kinsley, Olivia, Eva, Claire, Hazel, Piper, Nora, Rylee, Avery, Nevaeh, Piper, Layla\"\ne6896,2012/09/01,\"nectarines, watermelons, raspberries, peaches\",\"tea, soda, milk, orange juice\",\"shampoo, mouthwash, mouth wash\",\"Lydia, Eva, Rylee, Claire, Piper, Piper, Avery, Nora, Olivia, Nevaeh, Layla\"\ne6900,2012/09/02,\"clementines, raspberries, blackberries\",\"orange juice, mineral water\",\"paper towel, body lotion, shaving cream\",\"Carter, Kayden, Andrew\"\ne6901,2012/09/05,\"bananas, apricots, mangos\",chocolate milk,mouthwash,\"Benjamin, Willow, Avery, Jackson\"\ne6903,2012/09/10,\"watermelons, pineapples, blackberries\",\"milk, orange juice\",toothpaste,\ne6904,2012/09/15,\"blackberries, nectarines, bananas\",\"apple juice, soda, sports drinks\",\"paper towel, mouthwash\",\"Kayden, Carter\"\ne6908,2012/09/18,\"oranges, bananas, cherres, clementines\",\"mineral water, tea, sports drinks, guava juice\",\"mouthwash, shampoo\",\"Piper, Layla, Lydia\"\ne6909,2012/09/20,\"peaches, watermelons, guava\",\"coffee, apple juice\",\"toothbrush, toilet paper, shaving cream\",\"Emily, Andrew, Kayden, Carter\"\ne6913,2012/09/23,\"bananas, mandarins\",\"chocolate milk, mineral water\",\"mouth wash, conditioner, shampoo\",\"Lydia, Rylee, Nevaeh, Piper, Avery, Eva, Kinsley, Claire\"\ne6914,2012/09/27,\"apples, cherres, mangos, mandarins\",\"soda, chocolate milk, mango juice\",\"mouthwash, mouth wash, shaving cream\",Carter\ne6918,2012/10/05,\"peaches, mangos\",\"mango juice, milk, guava juice, mineral water\",\"mouth wash, toothpaste\",\ne6921,2012/10/09,\"pears, watermelons\",\"soda, tea, apple juice, guava juice\",mouthwash,\"Claire, Avery, Nora, Piper, Nevaeh, Hazel, Piper, Eva, Olivia, Rylee\"\ne6922,2012/10/11,\"blueberries, strawberries, mangos\",\"chocolate milk, sports drinks, guava juice, apple juice\",\"toothbrush, shaving cream, shampoo\",\ne6924,2012/10/16,\"peaches, mandarins, pears, bananas\",orange juice,\"paper towel, conditioner, toothpaste\",\ne6925,2012/10/19,\"pears, mangos, clementines, blueberries\",\"coffee, guava juice\",\"shaving cream, toothpaste\",Kayden\ne6928,2012/10/22,bananas,\"chocolate milk, pineapple juice\",\"shampoo, toothpaste, toilet paper, mouth wash\",\ne6929,2012/10/27,\"apricots, nectarines, strawberries\",\"sports drinks, orange juice, pineapple juice, mango juice\",\"shampoo, toothbrush, mouth wash, body lotion\",\ne6931,2012/10/29,\"blueberries, cherres, watermelons, guava\",\"soda, tea\",body lotion,\"Kayden, Carter\"\ne6932,2012/11/03,apples,milk,\"shampoo, shaving cream, toilet paper, body lotion\",\ne6934,2012/11/05,raspberries,\"chocolate milk, coffee\",\"toilet paper, facial wash\",\"Andrew, Carter, Emily, Kayden\"\ne6935,2012/11/08,apples,\"soda, guava juice, sports drinks, apple juice\",facial wash,\"Emily, Carter\"\ne6939,2012/11/19,oranges,mineral water,shampoo,\ne6940,2012/11/22,\"peaches, bananas, mandarins\",\"chocolate milk, apple juice\",mouth wash,\ne6942,2012/11/29,\"blackberries, mangos, pears, clementines\",\"pineapple juice, chocolate milk, soda\",\"toilet paper, conditioner, mouthwash, shampoo\",Andrew\ne6946,2012/12/08,\"apricots, nectarines\",tea,\"mouth wash, body lotion, shampoo\",\ne6949,2012/12/13,\"blackberries, bananas, pineapples, apricots\",\"soda, chocolate milk, coffee, mineral water\",\"body lotion, shampoo, conditioner\",Benjamin\ne6953,2012/12/18,mangos,\"guava juice, pineapple juice\",\"facial wash, shampoo, shaving cream, mouthwash\",\ne6954,2012/12/21,watermelons,\"chocolate milk, tea\",\"toothbrush, toilet paper, shampoo\",\ne6957,2012/12/24,\"clementines, blueberries, raspberries, mandarins\",\"tea, mineral water, mango juice, pineapple juice\",\"shaving cream, toothpaste, facial wash, mouth wash\",\"Kayden, Emily\"\ne6958,2012/12/26,\"watermelons, mandarins, nectarines\",\"orange juice, tea, guava juice, mango juice\",mouthwash,\"Avery, Willow, Benjamin, Jackson\"\ne10196,2013/01/01,\"oranges, mandarins\",\"mineral water, mango juice, guava juice, coffee\",toothpaste,\ne10197,2013/01/04,\"bananas, strawberries, watermelons\",\"guava juice, sports drinks, mineral water, mango juice\",\"toilet paper, facial wash\",\"Kayden, Andrew, Emily, Carter\"\ne10198,2013/01/08,\"watermelons, nectarines, bananas\",\"sports drinks, coffee, chocolate milk\",\"shampoo, body lotion, mouth wash\",\ne10199,2013/01/11,watermelons,\"mineral water, guava juice, soda\",\"body lotion, toothbrush, paper towel\",\"Nora, Rylee, Claire, Olivia, Kinsley, Avery, Layla, Piper, Hazel\"\ne10201,2013/01/15,\"nectarines, cherres, apricots\",\"guava juice, orange juice, soda, apple juice\",\"toothpaste, body lotion\",\"Avery, Jackson\"\ne10202,2013/01/19,\"pineapples, pears, cherres, apricots\",\"apple juice, guava juice\",\"mouth wash, paper towel, toothbrush\",\ne10205,2013/01/22,\"blueberries, clementines\",\"sports drinks, chocolate milk, guava juice\",\"mouth wash, shaving cream, shampoo, toothpaste\",\ne10206,2013/01/25,\"pineapples, clementines\",\"tea, milk, pineapple juice\",\"shampoo, toilet paper, mouth wash\",\"Emily, Kayden, Carter\"\ne10209,2013/01/30,cherres,\"milk, tea, apple juice, sports drinks\",\"facial wash, toothbrush, mouthwash, mouth wash\",\ne10210,2013/02/04,\"oranges, blueberries, apricots, clementines\",\"sports drinks, guava juice, coffee, tea\",toilet paper,\"Layla, Piper, Olivia, Piper, Hazel, Lydia, Claire, Avery, Nora, Eva, Nevaeh, Kinsley\"\ne10211,2013/02/07,\"guava, apricots, apples\",\"soda, guava juice, pineapple juice\",\"mouth wash, paper towel, toothpaste, toothbrush\",Andrew\ne10214,2013/02/12,\"apricots, pears, watermelons, oranges\",\"milk, orange juice, apple juice\",toilet paper,\"Emily, Kayden\"\ne10215,2013/02/18,\"raspberries, oranges, pears\",\"orange juice, milk\",\"mouth wash, mouthwash, shampoo\",\"Carter, Andrew\"\ne10217,2013/02/21,oranges,\"mango juice, orange juice, coffee\",\"toilet paper, mouthwash, shampoo, mouth wash\",\ne10218,2013/02/23,\"strawberries, peaches\",\"mango juice, milk\",\"shampoo, paper towel\",\ne10220,2013/02/27,\"watermelons, oranges\",\"chocolate milk, sports drinks\",\"mouthwash, facial wash, toothbrush\",\ne10223,2013/03/11,apples,\"tea, chocolate milk, sports drinks\",\"shampoo, mouthwash\",\"Layla, Lydia\"\ne10226,2013/03/18,apples,\"mango juice, soda\",toothpaste,\ne10228,2013/03/21,\"strawberries, pears, bananas, blackberries\",\"chocolate milk, orange juice, coffee\",\"mouth wash, toothpaste, body lotion, shampoo\",\"Hazel, Eva, Avery, Lydia, Piper, Layla\"\ne10229,2013/03/22,\"cherres, peaches\",\"guava juice, apple juice\",conditioner,\ne10233,2013/03/27,clementines,tea,\"mouth wash, facial wash, paper towel\",\ne10234,2013/03/30,\"guava, apricots, nectarines, oranges\",\"mango juice, tea\",\"body lotion, mouth wash, mouthwash\",\ne10238,2013/04/06,\"raspberries, strawberries, pineapples\",orange juice,\"facial wash, toothbrush\",\ne10240,2013/04/10,\"mangos, nectarines, raspberries, pears\",\"soda, pineapple juice, chocolate milk\",\"toothpaste, shaving cream, mouth wash, conditioner\",\"Andrew, Kayden, Emily\"\ne10241,2013/04/12,watermelons,soda,\"toothpaste, conditioner, mouth wash\",Kayden\ne10244,2013/04/16,\"pears, pineapples, raspberries\",\"tea, pineapple juice, mango juice, guava juice\",\"mouthwash, body lotion, shaving cream\",\ne10245,2013/04/20,\"blueberries, bananas, clementines, peaches\",\"mineral water, tea, pineapple juice, chocolate milk\",\"shaving cream, shampoo, toilet paper\",\ne10247,2013/04/26,\"mangos, oranges, pineapples, nectarines\",\"sports drinks, coffee\",\"toothpaste, mouthwash\",Jackson\ne10249,2013/05/13,\"peaches, pineapples, blackberries\",\"coffee, mango juice, tea, milk\",body lotion,\"Carter, Kayden, Andrew\"\ne10252,2013/05/19,\"blackberries, clementines, blueberries, strawberries\",coffee,\"paper towel, mouthwash, shampoo\",\ne10254,2013/05/22,\"clementines, pears, cherres, mangos\",mineral water,\"facial wash, toothpaste, toothbrush, shampoo\",\ne10255,2013/05/25,\"mandarins, cherres, blackberries, blueberries\",\"soda, coffee\",conditioner,Willow\ne10257,2013/05/30,\"guava, peaches, nectarines\",\"mineral water, milk, apple juice\",\"toothpaste, mouthwash, paper towel, conditioner\",\"Emily, Carter\"\ne10258,2013/06/03,\"raspberries, apricots, strawberries\",\"mineral water, apple juice, milk, orange juice\",\"toilet paper, mouthwash\",\ne10260,2013/06/04,\"oranges, bananas, blueberries\",apple juice,\"toilet paper, mouthwash, toothbrush, body lotion\",\"Andrew, Carter, Kayden\"\ne10264,2013/06/11,\"clementines, apples, apricots, mandarins\",mineral water,\"mouth wash, conditioner, mouthwash, shaving cream\",Benjamin\ne10268,2013/06/23,\"bananas, pineapples, blueberries, blackberries\",\"coffee, milk\",\"toothbrush, shaving cream, paper towel, toothpaste\",\"Willow, Avery, Jackson, Benjamin\"\ne10272,2013/06/28,\"watermelons, apples, nectarines\",\"milk, coffee\",\"paper towel, mouth wash, mouthwash, toothbrush\",\ne10273,2013/07/07,\"pears, cherres\",\"apple juice, soda\",paper towel,Jackson\ne10276,2013/07/09,\"cherres, blueberries, raspberries\",\"guava juice, apple juice, milk\",\"mouth wash, conditioner, toothpaste, shampoo\",\"Kayden, Emily, Carter\"\ne10278,2013/07/18,\"blackberries, mandarins\",\"apple juice, soda\",\"mouth wash, facial wash\",\"Willow, Jackson\"\ne10279,2013/07/19,apricots,\"coffee, tea, milk, soda\",\"paper towel, toothpaste, conditioner, mouthwash\",\"Nora, Nevaeh, Rylee, Hazel\"\ne10282,2013/07/28,\"clementines, pineapples, watermelons, cherres\",\"soda, mineral water, mango juice, chocolate milk\",\"toothpaste, facial wash\",\ne10285,2013/08/01,apples,\"mineral water, milk, pineapple juice, mango juice\",\"mouth wash, toothbrush\",\ne10286,2013/08/05,\"mandarins, apricots\",guava juice,\"toothpaste, shampoo\",\ne10288,2013/08/06,\"mandarins, bananas, peaches\",tea,\"toothbrush, shaving cream\",\"Piper, Piper, Avery, Nora, Olivia, Layla, Eva, Nevaeh, Hazel, Rylee, Claire, Kinsley\"\ne10289,2013/08/10,\"mandarins, nectarines, clementines\",\"guava juice, apple juice\",\"facial wash, mouth wash, shampoo, shaving cream\",Carter\ne10291,2013/08/13,oranges,\"milk, mango juice, soda\",\"shampoo, toothbrush\",\ne10292,2013/08/17,\"pears, nectarines, pineapples, oranges\",\"tea, guava juice\",\"toilet paper, facial wash, body lotion, toothbrush\",\ne10295,2013/08/20,guava,guava juice,\"paper towel, toilet paper\",\"Rylee, Nevaeh, Kinsley, Claire, Piper, Piper\"\ne10296,2013/08/26,\"peaches, nectarines\",mango juice,\"conditioner, toilet paper\",\"Piper, Layla, Piper, Claire, Olivia, Rylee, Lydia, Nora, Hazel, Avery, Eva, Nevaeh\"\ne10301,2013/08/30,\"clementines, strawberries, pears\",\"apple juice, coffee, mineral water, guava juice\",\"toothbrush, mouthwash, mouth wash\",\"Andrew, Carter\"\ne10303,2013/09/08,\"blueberries, pears, guava, apricots\",\"coffee, orange juice\",facial wash,Avery\ne10305,2013/09/12,\"raspberries, guava, pineapples, bananas\",\"orange juice, sports drinks\",toothbrush,\ne10306,2013/09/14,\"bananas, strawberries, cherres\",\"sports drinks, pineapple juice\",mouth wash,\ne10308,2013/09/18,\"blackberries, bananas, cherres, pears\",\"apple juice, milk\",\"toothbrush, facial wash, toilet paper, mouthwash\",\ne10309,2013/09/20,\"cherres, pears\",\"apple juice, chocolate milk\",\"mouthwash, toilet paper, toothbrush, facial wash\",\"Carter, Andrew, Kayden\"\ne10310,2013/09/25,mandarins,apple juice,\"mouth wash, toothbrush\",\"Lydia, Nora, Olivia, Piper, Avery, Layla, Nevaeh, Eva, Kinsley, Rylee, Hazel, Claire\"\ne10311,2013/09/29,\"cherres, blueberries\",\"soda, coffee, chocolate milk, mango juice\",\"toothbrush, paper towel\",\"Kayden, Andrew, Emily\"\ne10314,2013/10/03,\"mandarins, guava, clementines\",\"sports drinks, tea, guava juice, pineapple juice\",\"conditioner, paper towel, shampoo\",\ne10315,2013/10/04,\"apples, nectarines\",\"tea, chocolate milk\",toothpaste,\ne10318,2013/10/15,\"strawberries, raspberries, apricots, mangos\",\"mineral water, pineapple juice, tea\",\"toothpaste, conditioner, mouth wash, shaving cream\",\ne10319,2013/10/18,\"pineapples, apples, mangos\",\"soda, mango juice\",\"toilet paper, toothbrush\",\"Kinsley, Layla, Avery\"\ne10320,2013/10/23,oranges,pineapple juice,\"mouthwash, shampoo\",\ne10321,2013/10/28,\"pineapples, guava, mandarins, watermelons\",\"sports drinks, soda\",toilet paper,\ne10324,2013/10/29,raspberries,\"mineral water, sports drinks\",\"mouthwash, shaving cream, mouth wash\",\"Jackson, Benjamin, Avery\"\ne10325,2013/11/03,\"blackberries, mandarins, pineapples\",\"sports drinks, mango juice, pineapple juice\",\"paper towel, mouthwash\",\ne10327,2013/11/07,\"strawberries, bananas, peaches, mandarins\",\"orange juice, coffee\",toothpaste,\ne10328,2013/11/10,\"peaches, watermelons, bananas\",\"pineapple juice, mineral water\",toothpaste,\"Andrew, Emily, Kayden\"\ne10331,2013/11/12,\"apples, watermelons\",coffee,\"paper towel, body lotion\",\"Piper, Lydia, Rylee, Avery, Layla, Olivia, Kinsley, Claire\"\ne10332,2013/11/18,cherres,\"guava juice, apple juice, pineapple juice, sports drinks\",\"toilet paper, conditioner, facial wash\",Olivia\ne10335,2013/11/19,\"raspberries, oranges, pears\",milk,\"mouthwash, conditioner, toothbrush\",\"Willow, Benjamin\"\ne10336,2013/11/25,bananas,\"tea, chocolate milk, apple juice, soda\",mouthwash,\"Hazel, Eva, Avery\"\ne10337,2013/11/30,\"mandarins, oranges\",\"pineapple juice, orange juice, soda, sports drinks\",\"shaving cream, shampoo, conditioner, mouth wash\",\ne10339,2013/12/04,\"strawberries, watermelons, mandarins, guava\",\"pineapple juice, orange juice, apple juice, coffee\",\"toilet paper, toothbrush, conditioner, shampoo\",\"Avery, Jackson, Benjamin, Willow\"\ne10342,2013/12/11,\"raspberries, strawberries, pears\",\"mango juice, sports drinks, guava juice\",\"toothpaste, conditioner, toilet paper, mouth wash\",\ne10343,2013/12/13,\"strawberries, oranges, apples, mangos\",\"guava juice, coffee, pineapple juice\",\"toothpaste, facial wash, toothbrush, body lotion\",\ne10345,2013/12/17,clementines,\"apple juice, mineral water, chocolate milk\",\"toothpaste, shaving cream, facial wash, body lotion\",Carter\ne10346,2013/12/21,\"guava, apples, bananas\",\"milk, guava juice, mineral water\",\"shampoo, toothpaste, mouthwash\",\ne10349,2013/12/24,\"pineapples, clementines\",\"pineapple juice, coffee\",\"toothpaste, shaving cream, facial wash\",Jackson\ne10350,2013/12/29,\"strawberries, apricots\",\"pineapple juice, orange juice\",\"paper towel, conditioner, body lotion, facial wash\",\ne10351,2013/12/31,\"peaches, pears, guava\",\"milk, orange juice\",toothpaste,Hazel\ne13510,2014/01/05,\"guava, raspberries\",\"apple juice, tea, pineapple juice\",\"body lotion, conditioner\",\"Kayden, Emily\"\ne13514,2014/01/12,\"oranges, apples\",\"chocolate milk, coffee, mineral water, orange juice\",\"toothbrush, toothpaste, shaving cream, mouthwash\",\ne13518,2014/01/24,\"strawberries, peaches, oranges\",\"apple juice, tea, orange juice, coffee\",\"facial wash, mouth wash, shampoo\",\ne13519,2014/01/25,\"oranges, blueberries, cherres, apples\",\"chocolate milk, coffee, tea, mango juice\",\"conditioner, shampoo, mouth wash, body lotion\",\ne13524,2014/01/31,clementines,\"soda, chocolate milk, pineapple juice, mango juice\",\"facial wash, toothpaste, toilet paper, shaving cream\",\ne13525,2014/02/01,\"blackberries, bananas\",orange juice,toothbrush,\"Kinsley, Piper, Lydia, Layla, Piper, Nora, Rylee, Olivia, Eva, Hazel, Claire\"\ne13529,2014/02/07,\"oranges, apples, raspberries, peaches\",\"mineral water, guava juice\",shampoo,Willow\ne13533,2014/02/13,pears,\"coffee, mineral water\",\"facial wash, paper towel, toothbrush, shampoo\",\ne13534,2014/02/17,\"peaches, apples\",\"orange juice, sports drinks\",\"mouthwash, toothbrush, toothpaste, shaving cream\",\ne13538,2014/02/23,strawberries,\"apple juice, milk, guava juice\",\"body lotion, facial wash\",\"Willow, Jackson, Avery, Benjamin\"\ne13541,2014/02/28,pineapples,\"apple juice, tea, sports drinks, pineapple juice\",\"toilet paper, mouth wash\",\"Carter, Andrew, Kayden\"\ne13542,2014/03/01,\"bananas, peaches\",sports drinks,shaving cream,\ne13546,2014/03/07,pineapples,\"soda, tea\",paper towel,\ne13547,2014/03/08,\"apricots, blackberries\",\"chocolate milk, pineapple juice, apple juice\",\"paper towel, shaving cream, facial wash\",\"Lydia, Nevaeh, Eva, Claire, Kinsley, Avery, Rylee, Nora, Piper, Hazel, Piper, Olivia\"\ne13551,2014/03/13,\"apricots, pineapples, cherres, strawberries\",\"sports drinks, apple juice, coffee, mineral water\",toothpaste,\"Avery, Jackson, Benjamin, Willow\"\ne13552,2014/03/17,\"blueberries, bananas, oranges, nectarines\",tea,\"shampoo, conditioner, shaving cream, paper towel\",\ne13556,2014/03/21,\"blueberries, apples, strawberries, bananas\",\"orange juice, guava juice, chocolate milk\",\"body lotion, toilet paper, mouth wash, shaving cream\",\ne13557,2014/03/22,\"nectarines, apricots, clementines, blackberries\",tea,\"facial wash, conditioner, mouthwash\",\ne13559,2014/03/31,pears,apple juice,\"facial wash, toothbrush\",\"Andrew, Emily, Carter, Kayden\"\ne13565,2014/04/10,\"blueberries, nectarines\",\"soda, orange juice, mineral water, tea\",\"body lotion, toothbrush, mouth wash\",\"Andrew, Emily\"\ne13566,2014/04/12,\"pineapples, peaches, mangos, watermelons\",pineapple juice,body lotion,\ne13570,2014/04/21,\"mangos, raspberries, oranges, bananas\",\"coffee, mineral water\",paper towel,\ne13574,2014/04/29,\"pineapples, pears, blackberries\",\"milk, sports drinks\",\"toilet paper, conditioner\",\ne13577,2014/05/06,blueberries,pineapple juice,\"mouth wash, shaving cream\",\"Eva, Hazel, Avery, Kinsley, Nora, Olivia, Lydia, Layla, Nevaeh\"\ne13580,2014/05/08,\"peaches, strawberries\",\"apple juice, milk\",\"shampoo, paper towel, body lotion, facial wash\",\"Nora, Kinsley, Eva, Olivia, Piper, Nevaeh, Rylee, Avery, Layla, Hazel, Claire, Lydia\"\ne13581,2014/05/10,\"mandarins, apricots, cherres\",\"pineapple juice, apple juice\",\"shampoo, shaving cream, facial wash\",\"Emily, Andrew, Carter, Kayden\"\ne13584,2014/05/14,\"mangos, raspberries, mandarins, oranges\",chocolate milk,\"shampoo, facial wash\",\ne13585,2014/05/20,\"blueberries, pears, mandarins\",\"milk, guava juice, mineral water, soda\",\"toothbrush, paper towel, toilet paper\",\"Kayden, Andrew, Emily\"\ne13588,2014/05/22,\"guava, blackberries, bananas\",\"soda, orange juice, apple juice\",\"paper towel, facial wash, shampoo, conditioner\",\ne13593,2014/06/03,\"guava, raspberries, pears\",\"orange juice, sports drinks, tea, milk\",\"paper towel, conditioner, mouth wash, shaving cream\",\"Kayden, Carter, Andrew, Emily\"\ne13597,2014/06/06,\"blueberries, mangos, pineapples, nectarines\",\"tea, milk, soda, coffee\",\"body lotion, shampoo\",\"Andrew, Emily\"\ne13598,2014/06/07,\"blackberries, pineapples\",\"milk, apple juice, pineapple juice, mango juice\",\"conditioner, facial wash\",\"Nevaeh, Piper, Olivia, Piper, Hazel\"\ne13600,2014/06/13,\"mangos, pears, blueberries\",\"apple juice, orange juice\",\"mouthwash, paper towel, shampoo\",\ne13601,2014/06/17,mandarins,\"milk, guava juice\",\"paper towel, conditioner, toilet paper, mouth wash\",\"Carter, Emily\"\ne13604,2014/06/19,\"strawberries, pears, apricots\",\"tea, sports drinks, chocolate milk\",\"mouthwash, paper towel, shaving cream, toothbrush\",\ne13605,2014/06/21,mangos,\"orange juice, apple juice, soda, guava juice\",\"toilet paper, shampoo, mouth wash, conditioner\",\"Hazel, Nora, Kinsley, Layla, Claire, Rylee\"\ne13608,2014/06/26,\"mangos, nectarines\",\"tea, sports drinks, mineral water\",paper towel,Kayden\ne13609,2014/07/01,raspberries,milk,\"mouthwash, toilet paper, body lotion\",\ne13616,2014/07/14,\"raspberries, apples\",\"tea, mango juice, orange juice\",\"shampoo, facial wash, toothbrush, conditioner\",Emily\ne13620,2014/07/18,pineapples,\"milk, apple juice, mineral water\",mouthwash,\"Avery, Piper, Layla, Lydia, Rylee, Hazel\"\ne13621,2014/07/21,\"oranges, apricots, pineapples\",\"mango juice, orange juice, mineral water\",\"toothbrush, shampoo\",\ne13624,2014/07/24,\"watermelons, raspberries, mandarins, oranges\",\"sports drinks, tea\",paper towel,Carter\ne13625,2014/07/27,\"mandarins, oranges, blueberries, guava\",chocolate milk,shampoo,\ne13628,2014/08/04,mangos,orange juice,\"body lotion, toilet paper\",\ne13630,2014/08/09,\"mandarins, apricots, blueberries, peaches\",\"apple juice, chocolate milk, mango juice\",toothbrush,\ne13633,2014/08/13,\"strawberries, pears, guava, raspberries\",\"soda, guava juice\",\"paper towel, shampoo, body lotion\",Benjamin\ne13634,2014/08/16,\"oranges, mandarins\",\"mineral water, tea, milk, guava juice\",\"shaving cream, toothbrush, conditioner, body lotion\",\ne13638,2014/08/21,\"blackberries, mangos, peaches\",\"chocolate milk, guava juice\",\"shaving cream, shampoo, toothpaste, conditioner\",\ne13639,2014/08/26,\"blueberries, mandarins, peaches, apples\",\"soda, mineral water\",mouth wash,\ne13642,2014/08/28,\"mandarins, peaches, pears, nectarines\",milk,\"toilet paper, paper towel, shaving cream, toothpaste\",\ne13643,2014/08/31,\"blackberries, oranges\",\"guava juice, chocolate milk, sports drinks, orange juice\",\"facial wash, mouth wash, toothpaste\",\"Benjamin, Willow, Avery, Jackson\"\ne13646,2014/09/05,\"watermelons, raspberries, clementines\",mineral water,\"toothpaste, conditioner, shampoo, facial wash\",\ne13647,2014/09/06,\"oranges, clementines, strawberries\",\"guava juice, orange juice, coffee, mango juice\",shaving cream,\"Carter, Kayden, Andrew, Emily\"\ne13650,2014/09/11,\"strawberries, apples, raspberries\",\"guava juice, tea, mineral water, soda\",facial wash,\ne13651,2014/09/16,nectarines,tea,\"conditioner, facial wash\",\"Avery, Benjamin\"\ne13654,2014/09/19,\"nectarines, pears, bananas, cherres\",milk,\"toothbrush, facial wash, mouth wash, conditioner\",\ne13655,2014/09/22,raspberries,\"guava juice, mango juice, mineral water, soda\",shampoo,\ne13657,2014/09/25,\"peaches, clementines, bananas\",\"guava juice, chocolate milk, mango juice\",\"mouth wash, paper towel, mouthwash\",\"Kayden, Carter, Emily\"\ne13658,2014/09/27,\"guava, clementines\",\"coffee, mango juice\",\"body lotion, toothpaste\",\ne13663,2014/10/01,bananas,\"coffee, sports drinks, apple juice, guava juice\",mouth wash,\"Kayden, Carter\"\ne13664,2014/10/04,\"cherres, raspberries, clementines, peaches\",\"mango juice, sports drinks, orange juice, milk\",\"mouthwash, shampoo, facial wash\",\"Kayden, Carter, Andrew\"\ne13668,2014/10/09,\"raspberries, bananas, oranges\",\"milk, tea, mineral water\",mouth wash,\"Emily, Carter, Andrew, Kayden\"\ne13669,2014/10/14,\"peaches, strawberries, guava\",\"mineral water, coffee, tea, chocolate milk\",\"shaving cream, facial wash\",\"Emily, Andrew, Carter, Kayden\"\ne13672,2014/10/17,\"oranges, pears, blueberries, watermelons\",chocolate milk,\"shaving cream, toothpaste, facial wash, paper towel\",\ne13673,2014/10/20,peaches,mineral water,toothpaste,\"Andrew, Carter, Kayden, Emily\"\ne13677,2014/10/24,\"blackberries, watermelons, mandarins\",\"coffee, chocolate milk\",toothpaste,\"Kayden, Emily\"\ne13678,2014/10/28,\"watermelons, pineapples, apples, oranges\",\"apple juice, tea, orange juice, guava juice\",\"toothbrush, conditioner, shaving cream\",\ne13681,2014/10/30,\"strawberries, nectarines, apricots\",\"mineral water, guava juice\",\"mouth wash, facial wash\",\"Benjamin, Avery\"\ne13682,2014/11/03,\"oranges, apples, cherres, mangos\",\"pineapple juice, sports drinks, soda\",conditioner,\"Emily, Kayden, Carter, Andrew\"\ne13685,2014/11/08,clementines,\"apple juice, soda\",\"shampoo, mouthwash, toothbrush, facial wash\",\ne13689,2014/11/14,\"cherres, apples, strawberries, mandarins\",\"mineral water, sports drinks\",mouthwash,\"Andrew, Kayden, Emily, Carter\"\ne13690,2014/11/18,\"clementines, apricots\",\"coffee, apple juice, sports drinks\",\"toilet paper, conditioner, toothpaste\",\ne13693,2014/11/24,\"apples, peaches, mangos\",\"orange juice, milk, sports drinks\",\"shampoo, mouth wash, toothpaste\",\"Kayden, Emily, Andrew\"\ne13698,2014/11/28,\"clementines, bananas\",\"pineapple juice, orange juice\",\"body lotion, paper towel\",\ne13699,2014/11/29,\"nectarines, blackberries\",\"milk, coffee\",\"toilet paper, shaving cream, mouth wash\",\ne13701,2014/12/05,\"blackberries, mangos\",\"apple juice, pineapple juice, coffee\",\"shaving cream, toilet paper\",\"Layla, Lydia, Avery, Claire, Eva, Piper, Piper\"\ne13704,2014/12/11,\"raspberries, peaches, apricots\",\"apple juice, milk\",toilet paper,\"Avery, Hazel, Layla, Nora, Kinsley, Claire, Piper, Lydia, Nevaeh, Olivia\"\ne13705,2014/12/14,pears,\"mineral water, guava juice, mango juice, milk\",\"shampoo, body lotion\",\"Willow, Jackson, Benjamin, Avery\"\ne13709,2014/12/17,\"mandarins, peaches, watermelons, cherres\",\"chocolate milk, mineral water\",\"paper towel, mouthwash, mouth wash, facial wash\",\ne13710,2014/12/22,\"oranges, blueberries, apricots, nectarines\",\"mango juice, chocolate milk, coffee, orange juice\",shampoo,\ne13712,2014/12/25,\"guava, nectarines, mandarins\",\"mineral water, pineapple juice, mango juice, orange juice\",\"toothbrush, shaving cream, paper towel, toilet paper\",\ne13713,2014/12/30,\"nectarines, bananas\",\"apple juice, soda\",\"paper towel, conditioner, shampoo, shaving cream\",Avery\ne13714,2014/12/31,\"strawberries, clementines, apples\",tea,\"conditioner, paper towel, mouthwash\",\"Willow, Avery, Jackson, Benjamin\"\ne16913,2015/01/04,\"apricots, mangos, guava\",\"sports drinks, chocolate milk\",\"mouth wash, toothpaste, toothbrush\",\ne16916,2015/01/14,\"pears, blackberries, cherres, mangos\",\"mango juice, coffee\",mouthwash,\"Layla, Olivia, Nora, Eva, Piper\"\ne16917,2015/01/17,nectarines,tea,\"paper towel, facial wash, conditioner, toilet paper\",Carter\ne16918,2015/01/21,\"cherres, bananas\",\"tea, soda, coffee, pineapple juice\",\"facial wash, shaving cream, paper towel\",\ne16919,2015/01/24,\"clementines, watermelons, peaches\",\"tea, soda, orange juice, coffee\",\"mouthwash, conditioner, toothbrush\",\ne16920,2015/01/25,\"mangos, watermelons, apples, guava\",\"soda, coffee, guava juice\",paper towel,\"Andrew, Emily, Kayden, Carter\"\ne16922,2015/01/31,\"strawberries, mangos, nectarines\",soda,\"shaving cream, paper towel\",\"Lydia, Nevaeh, Kinsley, Olivia, Rylee, Eva\"\ne16923,2015/02/03,\"clementines, apricots, oranges, blackberries\",\"mineral water, pineapple juice, mango juice\",\"paper towel, shampoo, toothpaste, mouth wash\",\ne16926,2015/02/05,\"nectarines, pineapples, apples, pears\",\"mineral water, guava juice, tea, orange juice\",mouthwash,\"Andrew, Kayden, Emily\"\ne16927,2015/02/08,\"cherres, raspberries\",chocolate milk,\"shampoo, body lotion, facial wash\",\ne16929,2015/02/13,\"watermelons, blueberries, nectarines\",\"chocolate milk, sports drinks, guava juice\",\"body lotion, conditioner, shampoo\",\"Claire, Piper, Lydia, Piper, Nevaeh, Layla, Olivia\"\ne16930,2015/02/18,blackberries,\"orange juice, mango juice, mineral water, tea\",toothbrush,\"Andrew, Kayden, Carter, Emily\"\ne16933,2015/02/22,\"strawberries, blueberries, mandarins\",pineapple juice,\"shaving cream, toilet paper, body lotion, facial wash\",Eva\ne16935,2015/02/28,guava,mineral water,\"toothbrush, paper towel, shaving cream, shampoo\",\"Olivia, Lydia, Piper, Piper\"\ne16939,2015/03/06,nectarines,\"apple juice, sports drinks, tea, orange juice\",\"toothbrush, shaving cream\",\"Avery, Willow, Jackson, Benjamin\"\ne16940,2015/03/10,\"oranges, blackberries\",\"milk, soda\",\"facial wash, toothbrush\",\ne16944,2015/03/14,\"mandarins, clementines\",\"apple juice, chocolate milk, mango juice, coffee\",\"conditioner, facial wash, mouth wash, toilet paper\",\ne16945,2015/03/17,\"nectarines, blackberries, bananas\",\"mineral water, milk, coffee\",\"toilet paper, shaving cream\",\ne16947,2015/03/19,\"cherres, oranges, clementines\",\"pineapple juice, orange juice, mango juice, guava juice\",shaving cream,\"Carter, Emily, Andrew, Kayden\"\ne16948,2015/03/23,\"mangos, bananas, strawberries, apples\",mineral water,\"conditioner, shaving cream, toilet paper, body lotion\",\ne16952,2015/03/27,\"clementines, watermelons, blackberries, guava\",\"sports drinks, guava juice, chocolate milk\",\"toilet paper, shaving cream\",Benjamin\ne16953,2015/03/30,\"apples, cherres\",chocolate milk,mouthwash,\ne16954,2015/04/02,\"mangos, mandarins, pears, guava\",\"soda, coffee, sports drinks, mango juice\",\"conditioner, facial wash, mouthwash, body lotion\",\ne16955,2015/04/05,apricots,coffee,mouth wash,Carter\ne16959,2015/04/14,\"watermelons, nectarines, apples, bananas\",\"orange juice, pineapple juice, mango juice, milk\",\"shampoo, toilet paper\",Kayden\ne16961,2015/04/18,\"clementines, bananas\",\"orange juice, coffee\",\"toothpaste, mouthwash, shaving cream\",\"Andrew, Emily, Kayden\"\ne16962,2015/04/21,blueberries,\"mineral water, sports drinks, soda, mango juice\",\"toothbrush, body lotion, facial wash, shampoo\",\"Willow, Avery\"\ne16965,2015/04/24,\"blueberries, strawberries\",pineapple juice,\"toothpaste, mouthwash, shaving cream, body lotion\",\"Kayden, Emily, Carter\"\ne16966,2015/04/28,\"apples, mangos, blackberries\",tea,toothpaste,\ne16970,2015/05/02,\"blackberries, clementines\",\"mango juice, chocolate milk, soda, guava juice\",\"shampoo, toothpaste, shaving cream\",\ne16971,2015/05/04,\"peaches, watermelons, mandarins, blueberries\",\"pineapple juice, coffee\",\"mouth wash, paper towel\",\"Nora, Eva, Claire, Olivia, Kinsley, Lydia, Piper, Rylee, Piper, Nevaeh\"\ne16975,2015/05/07,\"strawberries, apples, blackberries, cherres\",tea,facial wash,Andrew\ne16976,2015/05/12,\"watermelons, bananas, strawberries\",\"milk, orange juice, sports drinks, chocolate milk\",mouthwash,\"Emily, Andrew, Kayden, Carter\"\ne16978,2015/05/17,\"blackberries, blueberries, guava, mandarins\",\"sports drinks, apple juice, mineral water\",\"shampoo, toothbrush\",Benjamin\ne16982,2015/05/23,nectarines,\"sports drinks, tea, coffee\",\"toothbrush, mouth wash\",\"Carter, Kayden\"\ne16983,2015/05/25,\"watermelons, pineapples\",guava juice,\"shaving cream, mouthwash, paper towel, toothpaste\",\ne16986,2015/05/28,\"raspberries, watermelons, oranges\",\"milk, soda, coffee\",\"conditioner, toilet paper, paper towel, shaving cream\",\ne16987,2015/06/03,\"bananas, cherres, blueberries\",\"tea, chocolate milk\",toothbrush,\ne16989,2015/06/08,\"raspberries, mangos, blackberries\",\"milk, pineapple juice, soda\",\"facial wash, shaving cream, shampoo, mouth wash\",\"Claire, Lydia, Hazel, Nevaeh, Layla, Eva\"\ne16991,2015/06/17,\"oranges, blackberries, watermelons, nectarines\",\"mineral water, tea\",conditioner,\ne16992,2015/06/24,apples,\"apple juice, mango juice\",\"toilet paper, facial wash, mouth wash\",\"Willow, Avery, Benjamin, Jackson\"\ne16994,2015/06/25,\"blueberries, peaches, blackberries, mandarins\",mango juice,\"toothpaste, toothbrush, shampoo\",\"Carter, Andrew\"\ne16995,2015/06/29,peaches,\"guava juice, pineapple juice, soda, apple juice\",\"shampoo, shaving cream, facial wash\",\"Carter, Emily, Andrew, Kayden\"\ne16998,2015/07/02,\"guava, cherres\",\"mango juice, guava juice\",\"mouth wash, toothbrush, mouthwash\",\"Olivia, Kinsley, Claire, Rylee, Layla, Hazel, Nevaeh, Piper, Lydia, Piper, Avery, Nora\"\ne16999,2015/07/05,peaches,\"chocolate milk, mango juice, orange juice, mineral water\",toothpaste,\"Andrew, Carter, Kayden\"\ne17000,2015/07/10,blueberries,\"milk, tea, coffee, apple juice\",\"shaving cream, body lotion, mouth wash, shampoo\",\"Emily, Kayden\"\ne17001,2015/07/12,\"pineapples, cherres, blueberries, mandarins\",\"soda, coffee, milk\",toothpaste,\"Emily, Carter\"\ne17003,2015/07/18,\"mangos, peaches, pears, clementines\",\"soda, tea\",toothbrush,\"Kayden, Andrew, Emily, Carter\"\ne17004,2015/07/20,\"strawberries, peaches, apricots, nectarines\",\"sports drinks, guava juice, coffee\",\"facial wash, conditioner, body lotion\",\ne17006,2015/07/27,\"peaches, raspberries, blackberries\",\"milk, apple juice, pineapple juice, soda\",\"conditioner, mouth wash\",\ne17009,2015/08/04,peaches,mango juice,\"mouthwash, toothpaste\",\"Emily, Andrew, Carter\"\ne17012,2015/08/09,\"blueberries, peaches, oranges, bananas\",\"orange juice, soda, mango juice\",\"toothbrush, mouth wash, toothpaste, toilet paper\",\"Willow, Jackson, Avery\"\ne17015,2015/08/15,\"nectarines, blueberries\",soda,\"toothpaste, paper towel, shampoo\",\"Avery, Jackson\"\ne17016,2015/08/19,\"mandarins, mangos\",\"sports drinks, milk, chocolate milk, mineral water\",\"body lotion, mouth wash\",\ne17018,2015/08/22,\"blueberries, pears, clementines\",coffee,\"mouthwash, body lotion, toothpaste\",\"Andrew, Carter, Emily, Kayden\"\ne17019,2015/08/24,watermelons,\"apple juice, orange juice\",\"conditioner, shaving cream, mouth wash, paper towel\",\"Emily, Andrew\"\ne17023,2015/08/28,\"oranges, watermelons\",\"tea, orange juice\",\"body lotion, shampoo, shaving cream\",\"Kinsley, Eva, Hazel, Piper, Claire, Avery, Nora\"\ne17024,2015/09/02,strawberries,\"mineral water, apple juice, sports drinks\",\"paper towel, shaving cream\",\"Andrew, Emily, Carter, Kayden\"\ne17027,2015/09/05,\"blackberries, blueberries, oranges\",\"guava juice, sports drinks\",toothbrush,\ne17031,2015/09/12,\"blueberries, raspberries\",\"soda, apple juice, sports drinks, guava juice\",\"conditioner, mouthwash\",\ne17032,2015/09/14,pineapples,orange juice,\"paper towel, shampoo\",\ne17037,2015/09/18,\"pineapples, nectarines, apricots, blackberries\",apple juice,\"shaving cream, mouthwash, toothbrush\",\"Carter, Andrew\"\ne17040,2015/09/24,\"watermelons, oranges, raspberries\",\"tea, mango juice, coffee\",shaving cream,\"Piper, Olivia\"\ne17041,2015/09/28,clementines,\"chocolate milk, guava juice, mango juice\",\"shaving cream, shampoo\",\ne17044,2015/10/05,\"oranges, strawberries\",coffee,\"mouthwash, facial wash, toilet paper, shaving cream\",\"Layla, Claire, Nevaeh, Lydia, Olivia\"\ne17048,2015/10/09,\"peaches, blackberries\",\"chocolate milk, orange juice, sports drinks, guava juice\",\"toilet paper, toothpaste\",Emily\ne17049,2015/10/12,\"guava, peaches\",\"tea, coffee\",\"toothbrush, mouthwash, conditioner, paper towel\",\"Kayden, Andrew\"\ne17051,2015/10/17,\"watermelons, strawberries\",\"guava juice, pineapple juice\",\"mouth wash, toilet paper\",\ne17052,2015/10/21,\"apples, mandarins, strawberries\",\"coffee, orange juice, mineral water\",toilet paper,\ne17055,2015/10/23,mandarins,\"chocolate milk, apple juice, sports drinks\",mouthwash,\"Kayden, Carter, Emily\"\ne17056,2015/10/27,blackberries,orange juice,\"paper towel, toothpaste, mouth wash\",\"Willow, Jackson, Benjamin\"\ne17060,2015/10/31,\"bananas, guava, strawberries, apples\",\"chocolate milk, soda, guava juice\",\"mouth wash, mouthwash\",\ne17061,2015/11/02,\"watermelons, strawberries, mandarins, apricots\",\"mango juice, mineral water, guava juice, soda\",\"toothbrush, toothpaste, shampoo, facial wash\",\"Willow, Jackson, Benjamin\"\ne17063,2015/11/06,\"raspberries, mangos, watermelons\",sports drinks,\"toothpaste, toothbrush, mouth wash, toilet paper\",\"Nevaeh, Piper, Eva, Nora, Rylee, Claire, Hazel, Layla, Lydia, Kinsley, Piper, Olivia\"\ne17064,2015/11/10,apricots,\"pineapple juice, sports drinks, milk, guava juice\",\"shaving cream, toothpaste, body lotion, shampoo\",\ne17066,2015/11/13,\"apricots, strawberries\",soda,\"shaving cream, body lotion\",Emily\ne17067,2015/11/17,\"bananas, mangos\",\"soda, chocolate milk\",toothpaste,\"Andrew, Carter\"\ne17069,2015/11/20,\"mandarins, blackberries, raspberries, blueberries\",\"soda, guava juice, mango juice\",\"toothpaste, body lotion, mouthwash, conditioner\",\ne17070,2015/11/25,\"strawberries, nectarines, peaches, raspberries\",coffee,\"shaving cream, mouthwash, body lotion\",\ne17072,2015/11/26,apples,\"milk, mango juice\",\"facial wash, toothpaste\",\"Nora, Hazel, Piper, Claire, Rylee, Layla, Avery, Kinsley, Lydia, Eva, Olivia\"\ne17074,2015/12/05,\"bananas, oranges, peaches, blueberries\",\"soda, sports drinks, tea, chocolate milk\",\"shaving cream, toothpaste\",\ne17075,2015/12/09,\"pears, mandarins\",mineral water,\"mouthwash, facial wash, body lotion, toothpaste\",\"Kayden, Emily, Andrew\"\ne17079,2015/12/12,\"clementines, apricots, cherres\",pineapple juice,mouth wash,\ne17080,2015/12/15,\"oranges, mangos, raspberries, nectarines\",\"tea, pineapple juice, mineral water, milk\",\"body lotion, toothpaste, mouth wash, toothbrush\",\ne17083,2015/12/18,\"peaches, blackberries, oranges, apricots\",\"pineapple juice, tea\",\"body lotion, conditioner, shampoo\",\"Kayden, Emily, Carter, Andrew\"\ne17084,2015/12/21,\"clementines, strawberries\",\"apple juice, pineapple juice, orange juice, guava juice\",\"body lotion, conditioner, facial wash, mouth wash\",\ne17085,2015/12/29,pears,\"guava juice, tea\",\"paper towel, toothbrush\",\"Nora, Hazel, Olivia, Claire, Nevaeh, Piper, Eva, Kinsley, Rylee, Lydia, Layla\"\ne20260,2016/01/01,\"nectarines, mangos, clementines, apples\",\"apple juice, coffee\",mouthwash,\"Rylee, Olivia, Claire, Nora, Hazel, Piper, Eva, Nevaeh, Kinsley, Lydia, Layla, Avery, Piper\"\ne20261,2016/01/07,raspberries,\"apple juice, mango juice, chocolate milk, mineral water\",\"mouth wash, body lotion, toothbrush\",\ne20263,2016/01/13,\"mandarins, watermelons\",\"soda, mango juice\",conditioner,\ne20266,2016/01/20,\"guava, mangos, nectarines\",\"guava juice, chocolate milk\",\"paper towel, facial wash, toothbrush\",\ne20269,2016/01/23,\"pears, oranges, guava, blueberries\",apple juice,\"mouth wash, body lotion\",\ne20270,2016/01/28,clementines,\"guava juice, tea, coffee\",\"conditioner, mouth wash, mouthwash\",\ne20272,2016/02/02,\"peaches, guava, pears\",tea,\"body lotion, conditioner\",\"Kayden, Carter\"\ne20278,2016/02/17,\"raspberries, nectarines\",\"soda, mango juice, sports drinks\",\"shaving cream, shampoo, conditioner, toilet paper\",\ne20282,2016/02/20,\"cherres, blackberries\",\"tea, mineral water, apple juice, sports drinks\",\"paper towel, conditioner, body lotion, toothbrush\",\ne20283,2016/02/25,\"pears, cherres\",milk,body lotion,\ne20285,2016/02/28,\"clementines, raspberries, pears\",\"mango juice, coffee, apple juice\",\"facial wash, paper towel\",\ne20286,2016/03/03,\"pineapples, watermelons\",chocolate milk,\"toilet paper, shaving cream, shampoo, toothpaste\",\ne20289,2016/03/06,\"strawberries, mangos, peaches\",\"milk, pineapple juice\",\"toothbrush, toilet paper, shampoo\",\ne20290,2016/03/10,\"mandarins, pineapples, blackberries\",\"apple juice, orange juice, mineral water, pineapple juice\",\"mouthwash, mouth wash\",\ne20293,2016/03/13,\"raspberries, mangos\",\"mango juice, mineral water\",conditioner,\ne20294,2016/03/15,\"bananas, apples\",\"soda, guava juice, pineapple juice\",conditioner,\"Eva, Rylee, Nora, Kinsley\"\ne20296,2016/03/24,\"strawberries, cherres\",\"tea, soda, coffee\",body lotion,\"Nora, Nevaeh, Eva, Piper, Olivia, Lydia, Claire, Piper, Avery, Kinsley, Rylee, Layla, Hazel\"\ne20299,2016/03/28,cherres,\"orange juice, soda, guava juice, chocolate milk\",\"facial wash, mouth wash\",\ne20302,2016/04/03,apples,\"mineral water, mango juice, soda\",\"paper towel, shampoo, mouth wash, conditioner\",\ne20303,2016/04/04,\"nectarines, watermelons, raspberries, mangos\",apple juice,\"toothbrush, shaving cream, mouthwash\",Willow\ne20307,2016/04/12,\"peaches, raspberries, guava\",\"coffee, orange juice, mango juice, guava juice\",\"mouth wash, toothbrush, conditioner\",\"Kayden, Andrew, Emily, Carter\"\ne20311,2016/04/15,\"clementines, watermelons\",tea,\"shampoo, toothbrush, toilet paper\",\"Hazel, Nevaeh, Piper, Rylee, Claire, Avery, Piper\"\ne20312,2016/04/18,\"blackberries, nectarines, oranges\",\"chocolate milk, mango juice\",\"shaving cream, toothpaste\",\ne20315,2016/04/27,\"blackberries, pineapples, raspberries, watermelons\",\"apple juice, chocolate milk, orange juice\",\"shampoo, mouth wash\",\ne20316,2016/05/01,\"mandarins, pears, apples\",\"mango juice, chocolate milk, guava juice\",\"conditioner, facial wash, mouth wash\",\"Andrew, Emily, Carter\"\ne20317,2016/05/04,\"strawberries, blackberries, mangos\",mango juice,\"paper towel, shaving cream, facial wash, conditioner\",\ne20320,2016/05/08,\"clementines, cherres, pears, peaches\",\"soda, orange juice\",body lotion,\ne20321,2016/05/09,\"raspberries, pineapples, watermelons, strawberries\",\"guava juice, tea\",\"conditioner, mouth wash, body lotion\",\"Kayden, Andrew, Carter\"\ne20323,2016/05/18,raspberries,\"guava juice, sports drinks\",toothpaste,\"Avery, Jackson\"\ne20325,2016/05/21,\"pineapples, clementines\",\"mango juice, pineapple juice\",\"body lotion, mouthwash, shampoo, facial wash\",\"Andrew, Kayden, Emily\"\ne20326,2016/05/24,clementines,\"soda, tea\",toothbrush,\ne20329,2016/06/01,\"mangos, blackberries, bananas\",\"chocolate milk, apple juice\",facial wash,\ne20332,2016/06/04,\"mandarins, clementines\",\"orange juice, chocolate milk, guava juice, sports drinks\",\"facial wash, toothbrush\",\ne20333,2016/06/09,\"clementines, apples\",\"orange juice, milk, chocolate milk\",\"facial wash, mouth wash, toothpaste\",Emily\ne20334,2016/06/10,\"pineapples, blackberries, strawberries, guava\",\"pineapple juice, tea, mango juice\",\"toothbrush, toilet paper\",Piper\ne20335,2016/06/15,\"mangos, mandarins, apricots, pineapples\",\"soda, apple juice, tea, mango juice\",\"toothpaste, toothbrush\",\ne20339,2016/06/23,\"cherres, apples\",\"chocolate milk, guava juice, soda, pineapple juice\",shampoo,\ne20340,2016/06/29,\"pears, mandarins\",\"mineral water, sports drinks\",\"shampoo, mouthwash\",\"Willow, Jackson\"\ne20342,2016/07/01,mangos,\"apple juice, sports drinks, orange juice, coffee\",\"shaving cream, facial wash, mouth wash, body lotion\",\ne20343,2016/07/07,\"pineapples, apricots, strawberries, nectarines\",\"apple juice, pineapple juice, soda, coffee\",\"shampoo, shaving cream, body lotion, conditioner\",\"Emily, Andrew\"\ne20347,2016/07/09,\"cherres, pineapples\",mineral water,\"paper towel, facial wash, toothbrush\",\ne20348,2016/07/13,\"bananas, peaches\",coffee,\"toothbrush, shaving cream, facial wash, mouth wash\",\ne20352,2016/07/15,\"raspberries, strawberries\",\"mineral water, chocolate milk\",\"toothbrush, shaving cream, paper towel, toothpaste\",\"Avery, Willow, Jackson\"\ne20353,2016/07/18,\"nectarines, apples\",soda,paper towel,\"Andrew, Kayden, Emily, Carter\"\ne20357,2016/07/25,\"nectarines, peaches, guava, apples\",soda,paper towel,\"Emily, Carter, Andrew\"\ne20359,2016/07/30,oranges,\"sports drinks, pineapple juice\",\"toothpaste, toilet paper, paper towel, conditioner\",\"Hazel, Nora, Olivia, Claire, Layla, Lydia, Kinsley, Eva, Rylee, Piper\"\ne20360,2016/08/01,\"clementines, strawberries, apples, guava\",\"soda, milk, apple juice\",\"mouth wash, shampoo\",\"Willow, Avery, Jackson\"\ne20363,2016/08/07,\"guava, peaches\",\"mango juice, soda, orange juice, milk\",\"conditioner, shaving cream\",\ne20364,2016/08/08,\"strawberries, blackberries, guava, cherres\",\"apple juice, sports drinks\",\"toothpaste, toothbrush, shampoo, facial wash\",\"Carter, Andrew, Emily, Kayden\"\ne20367,2016/08/13,\"oranges, mangos\",mango juice,\"toilet paper, toothbrush, conditioner, body lotion\",\ne20368,2016/08/17,\"mangos, pineapples\",\"pineapple juice, soda, tea, apple juice\",\"toothbrush, shaving cream\",\"Carter, Emily, Andrew, Kayden\"\ne20370,2016/08/25,\"oranges, strawberries\",sports drinks,\"mouth wash, shampoo, shaving cream\",\ne20373,2016/08/29,\"watermelons, clementines\",\"guava juice, milk\",\"conditioner, body lotion, mouthwash\",\"Emily, Andrew, Kayden, Carter\"\ne20374,2016/09/03,\"peaches, bananas, oranges\",\"tea, coffee, chocolate milk\",\"body lotion, toothbrush, paper towel, toilet paper\",\ne20375,2016/09/07,\"mangos, pineapples\",\"chocolate milk, mango juice, soda\",\"body lotion, conditioner\",\ne20378,2016/09/09,\"cherres, watermelons, raspberries, mandarins\",\"chocolate milk, tea, milk, orange juice\",\"toilet paper, shaving cream, body lotion\",\"Layla, Rylee, Hazel, Lydia, Eva, Nora\"\ne20379,2016/09/14,\"bananas, nectarines\",\"milk, guava juice\",\"mouthwash, body lotion\",\ne20381,2016/09/21,\"cherres, pears, bananas\",\"milk, soda, mineral water, chocolate milk\",\"mouth wash, body lotion, mouthwash\",\ne20385,2016/09/25,\"strawberries, peaches\",\"mineral water, guava juice, chocolate milk, mango juice\",\"mouth wash, mouthwash, conditioner\",\ne20386,2016/09/26,\"nectarines, peaches\",tea,toothpaste,\ne20388,2016/10/02,\"apples, bananas, apricots\",orange juice,\"toothbrush, conditioner, paper towel\",\"Olivia, Lydia, Kinsley, Piper, Rylee, Piper, Nora, Claire, Hazel\"\ne20389,2016/10/05,\"clementines, pineapples, pears\",\"pineapple juice, mango juice, tea\",\"shaving cream, toothbrush, facial wash, conditioner\",\ne20392,2016/10/09,\"cherres, raspberries, watermelons\",\"milk, guava juice, chocolate milk\",\"facial wash, toothpaste\",\ne20393,2016/10/11,\"clementines, nectarines, blackberries\",\"apple juice, coffee\",\"mouth wash, mouthwash\",\ne20396,2016/10/15,\"clementines, strawberries\",\"chocolate milk, soda, sports drinks\",shampoo,\ne20397,2016/10/19,\"guava, pears, raspberries\",\"soda, guava juice, tea, chocolate milk\",\"shaving cream, mouthwash, toilet paper\",\ne20399,2016/10/26,mangos,\"sports drinks, coffee, mineral water, tea\",\"toilet paper, facial wash, toothbrush, toothpaste\",\ne20402,2016/11/02,\"bananas, nectarines, peaches, guava\",\"chocolate milk, milk, coffee, mineral water\",\"facial wash, paper towel, mouth wash, toothpaste\",Willow\ne20406,2016/11/06,\"bananas, peaches\",\"milk, soda, guava juice, pineapple juice\",\"toothpaste, body lotion\",Carter\ne20407,2016/11/07,strawberries,\"mineral water, coffee, apple juice\",\"facial wash, shampoo\",\"Emily, Carter\"\ne20411,2016/11/13,\"pineapples, peaches, cherres\",guava juice,\"body lotion, toilet paper\",Andrew\ne20412,2016/11/15,\"pears, bananas\",\"pineapple juice, coffee\",toothbrush,\ne20414,2016/11/23,\"pears, apricots, clementines, apples\",soda,\"toilet paper, toothpaste, facial wash\",\ne20419,2016/11/30,\"cherres, guava\",\"mango juice, orange juice\",body lotion,Jackson\ne20421,2016/12/02,\"pineapples, apricots, blueberries, guava\",mineral water,\"facial wash, toilet paper\",\"Kinsley, Eva, Hazel, Nora, Nevaeh\"\ne20422,2016/12/06,pears,pineapple juice,toothbrush,\"Emily, Carter\"\ne20424,2016/12/09,clementines,\"coffee, mineral water, guava juice\",\"toilet paper, shaving cream, toothbrush, facial wash\",\"Avery, Willow, Benjamin, Jackson\"\ne20425,2016/12/13,\"mandarins, nectarines\",\"orange juice, tea, pineapple juice\",\"facial wash, shampoo, toilet paper, toothbrush\",\"Olivia, Lydia, Rylee, Nevaeh, Avery, Piper, Kinsley\"\ne20427,2016/12/21,blueberries,\"guava juice, chocolate milk\",\"shampoo, body lotion, facial wash\",\ne23629,2017/01/01,peaches,coffee,paper towel,\ne23630,2017/01/06,\"nectarines, mandarins, bananas, guava\",\"orange juice, coffee, apple juice, pineapple juice\",paper towel,\"Carter, Andrew, Emily\"\ne23632,2017/01/09,\"oranges, strawberries, peaches, apricots\",\"apple juice, tea\",\"facial wash, conditioner, mouth wash, paper towel\",\ne23633,2017/01/12,\"watermelons, raspberries\",mango juice,mouthwash,\"Jackson, Willow, Benjamin\"\ne23635,2017/01/16,\"pineapples, guava, cherres\",\"apple juice, sports drinks, pineapple juice\",\"toilet paper, body lotion\",\ne23636,2017/01/20,\"mangos, nectarines, apples\",\"mineral water, mango juice\",\"shampoo, toothbrush, mouth wash, conditioner\",\ne23638,2017/01/24,\"blueberries, pineapples, cherres\",orange juice,shaving cream,\"Jackson, Avery, Benjamin\"\ne23639,2017/01/25,\"apples, mandarins, oranges\",\"guava juice, tea, mango juice, soda\",conditioner,\"Benjamin, Jackson\"\ne23641,2017/02/02,\"cherres, blueberries, bananas\",\"pineapple juice, guava juice, mineral water\",\"body lotion, toilet paper, paper towel, conditioner\",\ne23645,2017/02/11,\"mangos, strawberries, oranges, mandarins\",tea,mouth wash,\"Claire, Lydia, Avery, Hazel, Piper, Layla, Rylee, Piper, Eva, Kinsley\"\ne23648,2017/02/13,\"clementines, oranges, watermelons\",\"orange juice, soda, tea, coffee\",\"facial wash, shampoo, toothbrush\",\ne23649,2017/02/18,\"watermelons, blackberries, apricots\",\"soda, chocolate milk\",toothbrush,\"Carter, Emily, Kayden\"\ne23653,2017/02/25,\"peaches, nectarines, apples\",\"orange juice, chocolate milk, apple juice\",shampoo,\ne23655,2017/02/26,strawberries,\"soda, mineral water, chocolate milk\",\"mouth wash, paper towel, toilet paper\",\"Lydia, Claire, Piper, Nevaeh, Olivia, Eva, Rylee, Kinsley, Nora, Avery, Hazel\"\ne23656,2017/03/02,\"apples, oranges, apricots\",\"soda, chocolate milk\",\"shampoo, paper towel, body lotion, shaving cream\",\"Nevaeh, Hazel, Piper, Avery, Piper, Lydia, Layla, Claire, Nora, Olivia, Eva\"\ne23658,2017/03/10,\"oranges, raspberries, mangos, blackberries\",\"mineral water, orange juice, apple juice, coffee\",facial wash,\"Lydia, Avery, Nora, Kinsley, Claire\"\ne23663,2017/03/13,\"clementines, apricots, blueberries, blackberries\",\"soda, pineapple juice\",\"paper towel, body lotion, toothbrush, conditioner\",\ne23664,2017/03/18,blueberries,\"milk, chocolate milk, orange juice\",\"shampoo, toothbrush, body lotion\",\ne23666,2017/03/19,\"watermelons, pineapples, strawberries, pears\",\"soda, coffee, milk\",\"shampoo, body lotion, mouthwash\",\"Andrew, Emily, Kayden\"\ne23667,2017/03/25,apples,\"soda, mineral water\",\"toilet paper, body lotion, conditioner\",\"Piper, Nora, Kinsley, Piper, Claire\"\ne23670,2017/03/31,\"watermelons, clementines, nectarines, pineapples\",\"sports drinks, soda, mango juice, coffee\",mouth wash,\ne23675,2017/04/02,\"pineapples, watermelons\",\"mango juice, mineral water\",facial wash,\"Jackson, Benjamin\"\ne23676,2017/04/07,apples,\"apple juice, orange juice, sports drinks, soda\",\"toothbrush, shaving cream, toothpaste\",\ne23679,2017/04/10,\"mandarins, strawberries, bananas\",\"orange juice, mineral water\",facial wash,\"Andrew, Carter, Kayden, Emily\"\ne23680,2017/04/12,\"pears, apricots, blackberries, clementines\",\"mango juice, tea, chocolate milk\",\"facial wash, toothbrush, shaving cream\",\ne23682,2017/04/18,\"raspberries, pineapples, cherres\",coffee,\"conditioner, paper towel, shampoo\",\ne23683,2017/04/21,\"blueberries, mandarins, pears, peaches\",\"chocolate milk, coffee\",\"paper towel, mouth wash, facial wash, mouthwash\",\ne23688,2017/04/23,\"blackberries, cherres, clementines, mandarins\",\"pineapple juice, tea\",toothbrush,\"Benjamin, Avery\"\ne23692,2017/05/01,\"blackberries, pineapples, apricots\",milk,shampoo,\"Kinsley, Claire, Nora, Nevaeh, Piper, Olivia, Rylee, Hazel, Layla\"\ne23695,2017/05/13,\"strawberries, pineapples, cherres\",pineapple juice,\"paper towel, toothpaste, toilet paper, mouthwash\",\"Jackson, Avery, Willow\"\ne23699,2017/05/14,\"guava, bananas, apricots\",\"sports drinks, pineapple juice\",mouth wash,\"Piper, Piper, Lydia, Avery, Eva, Rylee, Nora, Hazel\"\ne23700,2017/05/20,\"bananas, blueberries\",\"mango juice, chocolate milk, coffee\",\"shaving cream, toothbrush, conditioner, paper towel\",\"Kayden, Emily, Carter\"\ne23703,2017/05/24,nectarines,chocolate milk,\"facial wash, mouthwash, paper towel, shaving cream\",\"Kayden, Carter, Andrew\"\ne23707,2017/05/28,\"blackberries, raspberries, bananas\",mango juice,\"toothpaste, toothbrush, mouth wash, conditioner\",\ne23708,2017/06/02,\"nectarines, blackberries, pineapples, apples\",\"coffee, mango juice\",\"shampoo, body lotion\",\ne23711,2017/06/09,\"oranges, nectarines\",\"orange juice, coffee, mineral water, milk\",conditioner,\"Nora, Olivia, Hazel, Nevaeh, Piper, Piper, Layla, Rylee, Eva, Kinsley, Avery\"\ne23717,2017/06/13,mangos,\"soda, orange juice, pineapple juice\",\"toilet paper, body lotion\",\ne23718,2017/06/16,\"mangos, mandarins\",\"tea, milk\",\"facial wash, toilet paper, toothpaste, mouthwash\",\"Avery, Benjamin, Jackson\"\ne23726,2017/06/26,pears,\"tea, guava juice, chocolate milk, mango juice\",\"conditioner, toilet paper, mouth wash, mouthwash\",\"Piper, Nevaeh\"\ne23727,2017/06/30,pineapples,\"tea, apple juice, pineapple juice\",\"shampoo, mouth wash\",\"Andrew, Kayden, Emily\"\ne23731,2017/07/03,clementines,coffee,toothpaste,\ne23732,2017/07/07,\"nectarines, clementines, bananas, mandarins\",\"orange juice, sports drinks, coffee, mango juice\",\"mouthwash, toilet paper, mouth wash, paper towel\",\ne23735,2017/07/15,\"guava, apricots, blueberries, peaches\",pineapple juice,\"mouth wash, facial wash\",\ne23738,2017/07/16,\"cherres, guava\",\"chocolate milk, mango juice\",\"paper towel, toothpaste\",\ne23739,2017/07/19,\"strawberries, cherres, nectarines, guava\",apple juice,facial wash,\ne23744,2017/07/28,\"nectarines, oranges, pineapples\",\"tea, coffee\",\"toothpaste, paper towel, body lotion\",\"Kinsley, Olivia, Hazel, Claire, Avery\"\ne23749,2017/08/01,\"guava, watermelons, cherres, strawberries\",\"pineapple juice, sports drinks, orange juice, coffee\",conditioner,\"Emily, Andrew, Carter, Kayden\"\ne23750,2017/08/02,\"nectarines, pineapples, watermelons, strawberries\",\"soda, milk, chocolate milk\",\"facial wash, shaving cream\",\"Carter, Andrew, Emily, Kayden\"\ne23753,2017/08/12,\"watermelons, peaches, oranges\",mango juice,conditioner,\ne23756,2017/08/15,pears,orange juice,\"facial wash, shampoo, shaving cream\",\ne23757,2017/08/18,\"blueberries, pears, mangos, blackberries\",\"soda, orange juice, mango juice\",\"toilet paper, facial wash, mouthwash, toothpaste\",\"Piper, Lydia, Rylee, Kinsley, Olivia, Nora, Layla, Hazel\"\ne23760,2017/08/21,\"pineapples, strawberries\",\"tea, guava juice, apple juice, coffee\",toothbrush,\ne23761,2017/08/25,\"mandarins, strawberries\",\"milk, mango juice, tea, coffee\",\"toilet paper, paper towel\",\ne23763,2017/08/27,\"cherres, bananas, watermelons, oranges\",\"guava juice, apple juice, milk\",body lotion,\ne23765,2017/09/04,\"watermelons, raspberries\",pineapple juice,\"paper towel, toilet paper\",\"Emily, Andrew, Kayden, Carter\"\ne23766,2017/09/06,pineapples,\"apple juice, mineral water, soda, sports drinks\",facial wash,\"Jackson, Willow, Benjamin\"\ne23770,2017/09/12,\"pears, pineapples, apples, apricots\",\"sports drinks, pineapple juice, mango juice, chocolate milk\",\"body lotion, toothpaste\",\"Avery, Nevaeh\"\ne23771,2017/09/16,\"mandarins, blackberries, blueberries, raspberries\",\"pineapple juice, guava juice, mineral water, sports drinks\",\"toothpaste, shaving cream, paper towel, body lotion\",\"Emily, Kayden, Andrew, Carter\"\ne23773,2017/09/18,cherres,orange juice,\"mouth wash, toothpaste, toothbrush, body lotion\",\ne23774,2017/09/21,apples,\"orange juice, mango juice\",\"toilet paper, body lotion\",\ne23777,2017/09/26,\"pineapples, raspberries, oranges\",\"pineapple juice, mango juice\",paper towel,\ne23778,2017/09/30,blackberries,pineapple juice,mouthwash,\ne23781,2017/10/01,\"blueberries, peaches, blackberries, strawberries\",\"pineapple juice, guava juice, mango juice\",\"shampoo, conditioner, paper towel, toothbrush\",\ne23782,2017/10/05,oranges,\"sports drinks, tea\",\"shampoo, toilet paper\",\"Jackson, Benjamin\"\ne23784,2017/10/08,\"cherres, pears\",mango juice,\"conditioner, body lotion\",\ne23785,2017/10/11,\"mangos, bananas, blueberries, pears\",mango juice,shaving cream,\"Emily, Andrew, Carter, Kayden\"\ne23789,2017/10/15,blueberries,apple juice,\"toilet paper, toothpaste\",\ne23790,2017/10/20,clementines,chocolate milk,\"mouthwash, shampoo\",\"Andrew, Carter, Kayden\"\ne23793,2017/10/22,\"mandarins, peaches\",\"pineapple juice, tea\",body lotion,\ne23794,2017/10/26,\"blackberries, oranges, mandarins\",\"pineapple juice, tea, soda\",\"mouthwash, paper towel, conditioner\",\"Claire, Avery, Hazel, Kinsley, Lydia, Olivia, Piper, Eva, Nevaeh, Layla\"\ne23797,2017/10/29,\"peaches, bananas, nectarines, pineapples\",\"chocolate milk, pineapple juice\",\"facial wash, conditioner\",\ne23798,2017/11/03,bananas,sports drinks,\"toothbrush, mouth wash\",\ne23799,2017/11/06,\"mandarins, strawberries, mangos\",\"guava juice, mineral water, sports drinks\",\"conditioner, shaving cream, mouthwash, toothpaste\",\"Avery, Jackson\"\ne23801,2017/11/13,blueberries,\"pineapple juice, guava juice\",\"paper towel, toothpaste\",Kayden\ne23802,2017/11/15,\"blueberries, guava, apricots\",\"mango juice, guava juice, tea\",\"conditioner, body lotion, facial wash, shaving cream\",Andrew\ne23806,2017/11/22,oranges,\"orange juice, apple juice, coffee, milk\",\"facial wash, shaving cream\",\"Emily, Carter, Andrew\"\ne23811,2017/11/26,\"mangos, clementines, bananas, peaches\",\"guava juice, mango juice\",\"mouth wash, mouthwash, shampoo\",\ne23812,2017/12/01,\"pineapples, apricots, oranges, clementines\",\"tea, mineral water, pineapple juice\",\"paper towel, conditioner\",\"Piper, Nora, Claire, Olivia, Layla, Lydia\"\ne23816,2017/12/03,\"raspberries, pears, cherres, apricots\",\"mineral water, orange juice\",\"conditioner, toilet paper, facial wash\",\"Emily, Carter, Kayden\"\ne23817,2017/12/06,\"clementines, peaches, apricots\",\"apple juice, orange juice, mineral water, tea\",\"toothbrush, toothpaste\",\ne23822,2017/12/10,\"apricots, apples, mandarins\",\"chocolate milk, soda\",\"paper towel, conditioner, shampoo\",\ne23823,2017/12/15,strawberries,\"coffee, sports drinks, pineapple juice, mango juice\",\"toothbrush, toothpaste\",Andrew\ne23826,2017/12/18,\"mangos, nectarines, strawberries\",apple juice,\"toilet paper, mouthwash\",\ne23830,2017/12/26,\"clementines, cherres, nectarines, guava\",\"soda, apple juice\",toothbrush,\ne23831,2017/12/28,\"apples, nectarines, apricots\",\"guava juice, mineral water\",\"mouthwash, toilet paper, shaving cream\",\"Carter, Emily\"\ne27020,2018/01/02,clementines,\"orange juice, soda, tea\",\"paper towel, shaving cream, facial wash, toothpaste\",Carter\ne27021,2018/01/07,\"cherres, strawberries, peaches\",\"sports drinks, orange juice, chocolate milk\",facial wash,\ne27024,2018/01/10,\"blueberries, pineapples\",mineral water,\"conditioner, mouth wash\",\ne27025,2018/01/14,\"watermelons, apples, bananas\",\"mineral water, guava juice, mango juice\",\"paper towel, mouthwash, toothbrush\",Kayden\ne27029,2018/01/16,\"apples, blueberries, bananas\",\"apple juice, soda\",body lotion,\ne27030,2018/01/19,mandarins,\"orange juice, sports drinks, coffee, chocolate milk\",\"facial wash, toothpaste, toilet paper, shampoo\",\ne27033,2018/01/22,\"pineapples, clementines, strawberries, oranges\",tea,facial wash,\ne27034,2018/01/27,strawberries,milk,\"toothbrush, paper towel\",\ne27036,2018/01/29,\"cherres, apricots\",\"mango juice, milk, tea, apple juice\",\"facial wash, shaving cream\",\ne27037,2018/02/04,\"cherres, pears, peaches, watermelons\",\"chocolate milk, pineapple juice, apple juice, milk\",\"facial wash, shaving cream, paper towel, toothpaste\",\"Jackson, Benjamin\"\ne27039,2018/02/05,\"oranges, apricots\",mineral water,\"shaving cream, toothbrush, mouthwash, toilet paper\",\"Willow, Jackson\"\ne27040,2018/02/10,\"pineapples, clementines\",chocolate milk,\"mouth wash, shampoo, body lotion, conditioner\",\ne27042,2018/02/12,blueberries,\"milk, sports drinks\",\"mouthwash, shampoo, facial wash\",Andrew\ne27043,2018/02/18,\"apricots, raspberries, mangos\",\"orange juice, guava juice\",\"mouthwash, toothbrush, toothpaste\",\ne27049,2018/02/21,\"mandarins, blueberries\",milk,\"toilet paper, body lotion\",\ne27050,2018/02/22,strawberries,\"tea, apple juice\",\"paper towel, shampoo, conditioner\",\"Andrew, Carter\"\ne27054,2018/02/28,\"bananas, apricots\",\"coffee, soda, mineral water, sports drinks\",\"conditioner, toothbrush, mouthwash\",\ne27055,2018/03/01,\"apricots, mandarins, raspberries\",\"tea, guava juice\",\"mouthwash, toilet paper\",\"Avery, Willow, Benjamin, Jackson\"\ne27058,2018/03/07,\"blackberries, pineapples, mangos, strawberries\",\"coffee, mineral water, pineapple juice, milk\",\"facial wash, conditioner\",\ne27059,2018/03/11,\"watermelons, raspberries, mangos\",\"tea, milk, sports drinks, coffee\",mouthwash,\"Emily, Andrew, Carter, Kayden\"\ne27060,2018/03/16,\"mangos, pears\",\"milk, soda, apple juice\",\"toilet paper, mouthwash, toothpaste, toothbrush\",Avery\ne27062,2018/03/24,\"blueberries, blackberries, strawberries\",\"guava juice, soda, pineapple juice, orange juice\",\"mouthwash, mouth wash, toothbrush\",\"Andrew, Emily, Carter, Kayden\"\ne27064,2018/03/27,\"pears, apples, cherres, apricots\",\"chocolate milk, milk, tea\",shampoo,\"Emily, Andrew, Kayden, Carter\"\ne27068,2018/04/05,\"pears, strawberries, pineapples, clementines\",guava juice,\"toothpaste, shaving cream, mouthwash\",\ne27072,2018/04/09,\"blueberries, clementines, mandarins\",\"tea, chocolate milk\",paper towel,\ne27073,2018/04/15,\"raspberries, mangos, blackberries\",\"soda, pineapple juice, mineral water\",paper towel,\ne27077,2018/04/16,\"watermelons, guava, nectarines, blackberries\",\"orange juice, tea\",shaving cream,\"Hazel, Layla, Lydia, Olivia, Nora, Piper, Claire, Avery, Piper, Nevaeh, Eva, Rylee\"\ne27078,2018/04/22,mandarins,\"chocolate milk, soda, orange juice\",\"conditioner, mouthwash, shampoo\",Willow\ne27080,2018/04/25,nectarines,\"soda, coffee\",\"paper towel, toothbrush, conditioner\",\ne27081,2018/04/28,\"blackberries, nectarines, cherres\",\"milk, chocolate milk, orange juice\",conditioner,\"Andrew, Emily, Carter, Kayden\"\ne27084,2018/05/04,\"clementines, guava\",\"milk, pineapple juice, orange juice, guava juice\",\"toothbrush, mouth wash, facial wash, toothpaste\",\ne27085,2018/05/11,\"peaches, pineapples\",\"soda, chocolate milk, guava juice\",\"mouthwash, toothbrush\",\"Carter, Kayden, Andrew\"\ne27088,2018/05/17,\"apples, strawberries, blackberries, pears\",\"chocolate milk, mineral water\",\"shampoo, conditioner, toothpaste\",\"Kayden, Andrew\"\ne27091,2018/05/23,\"peaches, pineapples, strawberries\",\"coffee, soda, sports drinks\",\"paper towel, mouthwash\",Kayden\ne27092,2018/05/25,\"watermelons, cherres\",\"mineral water, chocolate milk\",\"toilet paper, toothbrush\",\"Avery, Olivia, Piper, Kinsley, Nora\"\ne27094,2018/05/29,mangos,\"pineapple juice, mango juice, mineral water\",paper towel,\"Kayden, Andrew\"\ne27098,2018/06/05,\"guava, strawberries, mandarins\",soda,toilet paper,\"Kinsley, Avery, Olivia, Eva, Layla, Piper, Piper, Lydia, Rylee, Hazel\"\ne27099,2018/06/09,\"guava, oranges, cherres\",\"orange juice, mango juice\",toilet paper,\"Carter, Kayden, Andrew\"\ne27104,2018/06/18,\"guava, blueberries\",\"sports drinks, mineral water, guava juice\",shaving cream,\ne27105,2018/06/22,\"peaches, mandarins, guava\",apple juice,body lotion,\"Kinsley, Nora\"\ne27108,2018/06/25,\"blueberries, guava, mandarins\",\"coffee, pineapple juice, milk\",\"conditioner, shampoo\",\ne27109,2018/06/29,\"oranges, apricots, blueberries\",\"soda, apple juice, coffee, orange juice\",\"paper towel, body lotion\",\ne27110,2018/07/04,\"blackberries, guava, bananas\",\"sports drinks, soda, orange juice, chocolate milk\",\"toilet paper, facial wash, shaving cream, paper towel\",\"Claire, Lydia, Nevaeh, Piper, Eva\"\ne27111,2018/07/06,\"bananas, pears\",\"orange juice, mineral water, coffee, pineapple juice\",\"shaving cream, toothpaste, toothbrush\",\"Rylee, Layla, Nevaeh, Kinsley, Avery, Piper, Nora, Lydia\"\ne27115,2018/07/10,\"bananas, guava, blueberries\",milk,\"toothbrush, mouth wash, shaving cream\",\ne27116,2018/07/14,\"apples, blueberries\",sports drinks,\"shaving cream, facial wash, shampoo\",\ne27118,2018/07/20,\"cherres, guava, bananas\",chocolate milk,\"facial wash, mouth wash, paper towel, shaving cream\",\ne27121,2018/07/23,\"apricots, pears\",\"mango juice, tea, sports drinks, apple juice\",toothbrush,\ne27122,2018/07/26,pears,\"chocolate milk, orange juice, guava juice\",\"mouth wash, toilet paper\",\ne27127,2018/07/30,\"watermelons, apricots, blueberries, pineapples\",\"guava juice, soda\",\"toothpaste, paper towel, conditioner\",\"Jackson, Avery, Willow, Benjamin\"\ne27128,2018/08/05,\"clementines, strawberries, apricots, blackberries\",tea,toothbrush,\ne27132,2018/08/08,blueberries,\"tea, coffee, guava juice\",\"paper towel, mouthwash, toothpaste, toothbrush\",\ne27133,2018/08/10,\"bananas, peaches\",\"coffee, orange juice\",\"mouth wash, mouthwash, shampoo, conditioner\",\ne27137,2018/08/15,\"pineapples, raspberries, peaches\",\"tea, mineral water, mango juice, sports drinks\",toothpaste,\ne27140,2018/08/22,pineapples,guava juice,\"toothbrush, shaving cream, mouth wash\",\ne27144,2018/09/01,oranges,\"milk, orange juice, mango juice, mineral water\",\"mouthwash, toilet paper, mouth wash\",Benjamin\ne27149,2018/09/03,bananas,\"guava juice, orange juice, mango juice, pineapple juice\",\"paper towel, toothpaste\",\"Nora, Kinsley, Layla, Hazel, Piper, Eva, Claire, Lydia, Nevaeh, Avery\"\ne27150,2018/09/06,\"oranges, peaches\",sports drinks,body lotion,Willow\ne27153,2018/09/14,watermelons,\"coffee, chocolate milk, milk, pineapple juice\",\"shaving cream, mouth wash\",\"Andrew, Emily\"\ne27156,2018/09/19,\"pineapples, mandarins\",\"coffee, mineral water\",\"toothpaste, shampoo, mouthwash, toilet paper\",Avery\ne27157,2018/09/23,\"peaches, apricots, raspberries, cherres\",\"apple juice, sports drinks, orange juice\",toothpaste,\ne27160,2018/09/26,\"strawberries, mandarins\",mango juice,facial wash,\"Emily, Andrew\"\ne27161,2018/09/27,\"mandarins, pears, cherres, bananas\",\"guava juice, tea\",toothbrush,\"Carter, Andrew, Kayden, Emily\"\ne27165,2018/10/02,\"apples, mandarins, raspberries\",\"pineapple juice, milk\",toothbrush,\ne27169,2018/10/09,\"strawberries, clementines, watermelons\",mineral water,\"paper towel, toothbrush\",\"Kayden, Carter\"\ne27170,2018/10/14,\"blueberries, pineapples\",\"mineral water, mango juice, soda\",\"toothbrush, paper towel, conditioner\",\"Kayden, Andrew, Emily\"\ne27173,2018/10/17,\"mandarins, bananas, strawberries\",\"mango juice, mineral water, guava juice\",toothbrush,\"Nevaeh, Piper, Piper, Layla, Kinsley, Avery, Olivia, Nora, Lydia\"\ne27174,2018/10/18,cherres,guava juice,\"toothbrush, shaving cream, toilet paper\",\ne27179,2018/10/28,\"raspberries, blueberries\",\"coffee, tea, apple juice\",\"toothpaste, mouth wash, toothbrush, body lotion\",\ne27182,2018/10/31,\"mandarins, bananas, mangos, clementines\",\"mango juice, soda, orange juice\",body lotion,\ne27183,2018/11/01,\"nectarines, mangos\",\"pineapple juice, milk, orange juice\",\"conditioner, body lotion, facial wash\",\"Willow, Benjamin, Avery\"\ne27187,2018/11/06,\"clementines, guava\",chocolate milk,\"toothpaste, conditioner\",\"Kinsley, Nora\"\ne27188,2018/11/09,\"peaches, bananas, strawberries\",\"tea, mineral water\",\"toilet paper, paper towel, mouth wash, mouthwash\",\"Lydia, Hazel, Nevaeh, Eva\"\ne27190,2018/11/16,\"pineapples, strawberries\",\"soda, coffee\",\"shaving cream, toothbrush, paper towel, mouth wash\",\ne27191,2018/11/23,\"strawberries, raspberries\",\"guava juice, sports drinks, apple juice, mango juice\",facial wash,\"Andrew, Emily\"\ne27194,2018/12/01,raspberries,\"coffee, soda, milk, orange juice\",\"shaving cream, mouthwash, toothbrush, body lotion\",\ne27197,2018/12/05,clementines,\"soda, coffee\",shaving cream,Piper\ne27198,2018/12/08,\"watermelons, mandarins, blackberries\",\"mineral water, pineapple juice, tea, chocolate milk\",mouthwash,Emily\ne27201,2018/12/10,\"raspberries, clementines, bananas, watermelons\",\"mango juice, soda, coffee, apple juice\",\"shaving cream, conditioner, paper towel, toilet paper\",\ne27202,2018/12/14,\"blackberries, strawberries, peaches, blueberries\",\"apple juice, chocolate milk, orange juice\",\"shampoo, facial wash\",\ne27205,2018/12/19,\"mandarins, bananas, pears\",\"mango juice, soda, chocolate milk\",\"shampoo, shaving cream\",\ne27206,2018/12/22,\"peaches, strawberries\",\"soda, pineapple juice, apple juice\",conditioner,\"Rylee, Nora, Layla, Claire, Kinsley, Piper, Nevaeh, Avery, Piper, Eva, Hazel\"\ne30436,2019/01/01,\"apples, blackberries, peaches, blueberries\",\"guava juice, orange juice, soda\",\"facial wash, toothpaste\",\ne30437,2019/01/07,\"nectarines, peaches, guava\",\"mango juice, mineral water, coffee\",\"shampoo, conditioner, mouth wash\",\"Andrew, Kayden\"\ne30440,2019/01/10,watermelons,\"tea, coffee\",\"toothbrush, toilet paper, facial wash, paper towel\",\ne30441,2019/01/12,apples,milk,\"paper towel, toothbrush\",\ne30443,2019/01/17,\"blackberries, peaches, bananas\",\"pineapple juice, orange juice, coffee, apple juice\",toothbrush,\"Nevaeh, Lydia, Nora, Hazel, Olivia, Claire, Piper, Layla, Eva, Kinsley, Avery, Rylee, Piper\"\ne30444,2019/01/18,oranges,\"guava juice, pineapple juice, tea\",\"mouthwash, toilet paper, facial wash\",\ne30446,2019/01/26,pears,\"guava juice, pineapple juice\",conditioner,\ne30451,2019/01/30,\"oranges, bananas\",\"soda, milk\",\"shampoo, body lotion, toilet paper\",\ne30452,2019/02/04,\"pineapples, mandarins, strawberries, peaches\",guava juice,shaving cream,\"Avery, Jackson, Willow\"\ne30455,2019/02/05,\"blackberries, guava, watermelons\",sports drinks,\"toothbrush, toilet paper, mouthwash, shampoo\",\"Carter, Kayden, Andrew\"\ne30456,2019/02/11,\"apricots, strawberries\",\"apple juice, pineapple juice, orange juice\",body lotion,\"Andrew, Emily, Carter, Kayden\"\ne30459,2019/02/16,\"guava, watermelons, mangos\",\"chocolate milk, milk\",\"conditioner, toilet paper, body lotion\",\"Kayden, Carter\"\ne30461,2019/02/23,\"apricots, strawberries, blueberries, peaches\",\"apple juice, guava juice, chocolate milk, mango juice\",toilet paper,\ne30463,2019/02/28,\"bananas, blueberries, pineapples\",\"sports drinks, guava juice\",\"toilet paper, toothpaste, shampoo, toothbrush\",\"Piper, Hazel, Lydia, Nevaeh, Layla\"\ne30466,2019/03/07,blackberries,\"tea, orange juice, sports drinks\",\"body lotion, toilet paper, mouthwash, mouth wash\",\ne30467,2019/03/10,\"apples, pineapples\",\"mango juice, sports drinks, guava juice, mineral water\",toilet paper,\"Emily, Kayden, Carter, Andrew\"\ne30468,2019/03/12,blueberries,sports drinks,mouth wash,\ne30469,2019/03/16,\"cherres, pears\",soda,\"mouth wash, toilet paper\",\"Andrew, Emily, Kayden\"\ne30471,2019/03/20,blackberries,\"milk, apple juice, orange juice, coffee\",\"conditioner, shaving cream, toothpaste, toilet paper\",\ne30472,2019/03/23,\"clementines, strawberries, mangos\",\"apple juice, tea\",\"paper towel, conditioner, toilet paper\",\ne30476,2019/03/28,\"apples, blackberries, mandarins, cherres\",\"milk, guava juice, chocolate milk\",\"shampoo, shaving cream, mouthwash\",\"Andrew, Emily, Kayden, Carter\"\ne30477,2019/03/29,oranges,\"tea, orange juice, milk\",toothbrush,\"Avery, Benjamin, Jackson\"\ne30479,2019/04/06,\"oranges, apples\",\"guava juice, mango juice\",\"toilet paper, paper towel\",\"Emily, Carter, Andrew, Kayden\"\ne30483,2019/04/11,\"peaches, raspberries\",\"mango juice, milk, orange juice, sports drinks\",toothbrush,\ne30484,2019/04/15,\"clementines, guava\",guava juice,\"mouthwash, body lotion, mouth wash, toothpaste\",\ne30489,2019/04/16,oranges,guava juice,shaving cream,\ne30490,2019/04/20,cherres,\"chocolate milk, milk\",\"toilet paper, conditioner\",\ne30493,2019/04/24,\"peaches, mangos, blueberries, pears\",\"apple juice, soda, orange juice, milk\",mouth wash,\ne30494,2019/04/29,blueberries,\"guava juice, apple juice\",toilet paper,\ne30495,2019/05/02,\"watermelons, clementines, peaches\",\"pineapple juice, milk\",\"toilet paper, conditioner, shaving cream\",\"Andrew, Carter, Emily\"\ne30496,2019/05/04,mangos,\"milk, mango juice\",\"facial wash, paper towel\",\ne30499,2019/05/10,blueberries,\"chocolate milk, mango juice, apple juice\",\"facial wash, conditioner, mouthwash, mouth wash\",\"Emily, Carter\"\ne30504,2019/05/15,apples,\"sports drinks, apple juice, pineapple juice, guava juice\",\"body lotion, paper towel, mouthwash, toothbrush\",\ne30505,2019/05/17,\"mangos, cherres, pineapples, apricots\",orange juice,\"shaving cream, mouthwash, mouth wash, toothpaste\",\ne30506,2019/05/23,pineapples,\"orange juice, pineapple juice, mango juice, guava juice\",\"conditioner, paper towel, toothbrush\",\"Carter, Kayden\"\ne30507,2019/05/25,\"nectarines, mangos, pears, watermelons\",\"tea, mineral water, guava juice\",\"facial wash, mouthwash, shampoo\",\ne30511,2019/05/29,\"pears, blueberries\",\"apple juice, coffee, pineapple juice\",\"facial wash, mouth wash, toothbrush, body lotion\",\ne30512,2019/06/03,\"peaches, strawberries, oranges, watermelons\",\"chocolate milk, mineral water, soda, mango juice\",\"shaving cream, body lotion\",\ne30515,2019/06/04,\"pears, oranges, blackberries, raspberries\",\"tea, chocolate milk, orange juice, sports drinks\",\"facial wash, toothpaste\",\"Rylee, Lydia, Nora, Avery, Layla, Piper, Nevaeh\"\ne30516,2019/06/07,\"strawberries, mangos\",\"guava juice, coffee\",facial wash,\ne30518,2019/06/13,\"pears, apples, watermelons, blackberries\",\"milk, guava juice, tea\",\"conditioner, toilet paper, toothpaste\",\"Emily, Kayden, Carter, Andrew\"\ne30521,2019/06/22,\"mangos, apples\",\"apple juice, soda, tea\",\"conditioner, body lotion, shaving cream, shampoo\",\ne30525,2019/07/01,\"peaches, blackberries, clementines, pears\",coffee,toothbrush,\ne30529,2019/07/02,guava,\"mineral water, chocolate milk, soda\",\"mouth wash, conditioner, mouthwash\",\ne30530,2019/07/05,\"blackberries, apples, guava, strawberries\",soda,toothpaste,\ne30532,2019/07/13,\"peaches, cherres, strawberries\",sports drinks,\"mouth wash, toothbrush, conditioner\",\ne30535,2019/07/19,watermelons,\"pineapple juice, tea\",toothbrush,\"Andrew, Carter, Emily, Kayden\"\ne30536,2019/07/23,guava,chocolate milk,\"mouth wash, shaving cream\",\"Willow, Avery\"\ne30537,2019/07/27,\"clementines, pineapples, apples, apricots\",orange juice,\"shaving cream, body lotion, conditioner, toilet paper\",\"Willow, Avery, Benjamin\"\ne30540,2019/08/02,raspberries,\"pineapple juice, milk\",\"paper towel, mouth wash, toothpaste, shampoo\",\ne30544,2019/08/06,\"blueberries, watermelons\",milk,\"conditioner, shampoo, body lotion, mouth wash\",\"Nevaeh, Piper, Eva, Layla, Kinsley, Claire, Lydia, Rylee\"\ne30545,2019/08/11,\"apples, watermelons, pears, blueberries\",\"tea, apple juice, guava juice\",\"shampoo, conditioner, toilet paper, facial wash\",\"Andrew, Kayden, Emily\"\ne30548,2019/08/16,mangos,\"sports drinks, mango juice, chocolate milk\",\"body lotion, shaving cream, toothbrush\",\ne30551,2019/08/20,mangos,soda,\"toothpaste, body lotion, facial wash\",\ne30552,2019/08/24,\"oranges, nectarines, strawberries, peaches\",\"mineral water, apple juice\",\"body lotion, shaving cream\",\"Layla, Nora, Nevaeh, Olivia, Claire, Avery\"\ne30557,2019/09/01,\"raspberries, mangos\",mango juice,\"conditioner, body lotion\",\ne30561,2019/09/05,\"apples, guava, blackberries, mandarins\",\"chocolate milk, apple juice\",\"toilet paper, body lotion, toothbrush\",\ne30562,2019/09/07,\"blueberries, mangos\",\"guava juice, mineral water, milk\",\"conditioner, shaving cream, toilet paper\",\"Kayden, Emily, Carter\"\ne30564,2019/09/16,blackberries,mineral water,\"toothpaste, mouth wash, toilet paper, mouthwash\",\ne30567,2019/09/20,clementines,\"chocolate milk, mango juice, orange juice, soda\",\"shampoo, body lotion\",\"Avery, Lydia, Eva, Piper, Hazel, Rylee, Nora, Layla, Kinsley, Olivia\"\ne30569,2019/09/25,\"nectarines, watermelons, apricots\",sports drinks,\"toilet paper, shaving cream, toothpaste, conditioner\",\ne30570,2019/09/27,\"oranges, pears, blueberries\",\"guava juice, soda, mineral water, mango juice\",\"paper towel, toothpaste, mouth wash, mouthwash\",\"Andrew, Carter, Kayden\"\ne30574,2019/10/07,\"apricots, guava, pears\",\"pineapple juice, guava juice, milk\",\"body lotion, mouthwash\",\ne30576,2019/10/08,\"pears, bananas\",\"milk, sports drinks, mineral water\",\"toilet paper, shampoo, toothpaste\",\"Hazel, Olivia, Eva, Layla, Rylee, Kinsley\"\ne30577,2019/10/11,\"bananas, blueberries\",\"orange juice, tea, apple juice\",facial wash,\"Jackson, Willow\"\ne30582,2019/10/15,\"pineapples, blackberries, clementines, cherres\",\"apple juice, sports drinks\",mouth wash,\ne30583,2019/10/20,\"strawberries, blueberries, peaches, raspberries\",\"guava juice, orange juice, milk\",\"conditioner, toilet paper\",\ne30586,2019/10/23,\"bananas, apples\",apple juice,\"mouthwash, body lotion\",\ne30587,2019/10/25,\"peaches, cherres, pineapples\",\"pineapple juice, apple juice\",\"shaving cream, facial wash, shampoo, mouth wash\",\ne30588,2019/10/31,\"guava, pears, clementines\",\"mango juice, soda, guava juice, pineapple juice\",\"facial wash, paper towel\",\ne30589,2019/11/04,\"watermelons, apricots\",\"chocolate milk, guava juice, pineapple juice\",\"paper towel, facial wash, toilet paper, mouth wash\",\"Andrew, Carter\"\ne30593,2019/11/10,\"strawberries, nectarines, guava, cherres\",\"milk, mineral water, guava juice, coffee\",\"toothbrush, facial wash, shampoo, mouth wash\",\ne30597,2019/11/14,\"pears, apples\",\"soda, apple juice\",\"paper towel, toothbrush, mouth wash, facial wash\",\"Olivia, Piper\"\ne30598,2019/11/17,\"mandarins, mangos, nectarines, apricots\",\"coffee, mineral water, soda, guava juice\",\"toothpaste, mouthwash, conditioner, mouth wash\",\ne30603,2019/11/23,\"bananas, blueberries\",\"chocolate milk, sports drinks, mineral water, soda\",paper towel,\"Willow, Jackson, Benjamin, Avery\"\ne30604,2019/11/30,strawberries,\"guava juice, mango juice\",\"mouthwash, facial wash, body lotion, mouth wash\",\ne30607,2019/12/04,\"peaches, guava, strawberries, blueberries\",\"guava juice, apple juice, milk\",toothbrush,Andrew\ne30608,2019/12/09,apricots,sports drinks,\"mouth wash, shampoo, toothpaste, paper towel\",\ne30613,2019/12/12,apricots,\"mango juice, pineapple juice\",toilet paper,\ne30614,2019/12/13,\"guava, mangos, apples, cherres\",\"pineapple juice, tea\",\"shaving cream, toothbrush, toilet paper\",\"Jackson, Willow\"\ne30617,2019/12/17,\"mandarins, strawberries\",guava juice,\"toothpaste, toothbrush\",\"Jackson, Willow\"\ne30618,2019/12/20,clementines,\"coffee, orange juice, chocolate milk\",toilet paper,\"Olivia, Nora, Lydia, Hazel, Avery, Rylee, Nevaeh, Piper, Piper, Layla, Eva, Kinsley\"\ne30622,2019/12/25,\"pears, cherres, strawberries\",pineapple juice,\"shampoo, mouth wash, body lotion\",\ne30623,2019/12/28,\"watermelons, blueberries\",\"soda, sports drinks\",toothpaste,\ne33805,2020/01/01,\"cherres, peaches, pineapples\",\"mineral water, soda, apple juice\",\"toilet paper, toothbrush, toothpaste\",\ne33806,2020/01/06,raspberries,sports drinks,shampoo,\ne33807,2020/01/08,\"mandarins, oranges, cherres, bananas\",\"chocolate milk, milk, apple juice\",\"body lotion, facial wash, toothpaste, mouth wash\",\ne33808,2020/01/14,pineapples,\"guava juice, mango juice, milk, apple juice\",\"toothpaste, paper towel, body lotion, toilet paper\",\ne33809,2020/01/17,\"raspberries, apricots\",\"mango juice, chocolate milk, apple juice, soda\",\"shampoo, toothbrush\",\"Avery, Rylee, Lydia\"\ne33810,2020/01/21,mangos,milk,\"mouthwash, shampoo\",\"Carter, Andrew\"\ne33815,2020/01/24,\"peaches, nectarines, raspberries\",\"sports drinks, tea, soda\",\"toothpaste, mouth wash, shaving cream, shampoo\",\"Carter, Emily\"\ne33816,2020/01/27,\"peaches, oranges\",\"milk, coffee\",\"facial wash, shampoo, body lotion, mouthwash\",\ne33821,2020/02/03,\"apples, watermelons, blueberries, oranges\",\"soda, pineapple juice, coffee, mineral water\",\"conditioner, facial wash\",\ne33826,2020/02/06,\"oranges, peaches, mangos, apricots\",\"mineral water, milk\",\"toothbrush, facial wash, mouth wash, toothpaste\",\ne33827,2020/02/11,\"apples, cherres, blackberries, blueberries\",\"orange juice, mineral water, soda\",\"body lotion, toothpaste\",\"Piper, Olivia, Eva, Hazel, Layla\"\ne33831,2020/02/12,watermelons,\"coffee, soda\",toothpaste,\"Jackson, Avery\"\ne33832,2020/02/15,\"guava, nectarines, mandarins\",\"mineral water, apple juice, orange juice\",\"body lotion, mouth wash, toothbrush, conditioner\",Emily\ne33834,2020/02/21,peaches,coffee,\"body lotion, toothbrush, conditioner, shampoo\",\ne33835,2020/02/22,\"raspberries, clementines\",\"chocolate milk, mineral water\",\"body lotion, facial wash, mouth wash\",\"Nevaeh, Avery, Claire, Nora, Layla, Eva, Lydia, Hazel, Piper, Olivia, Piper, Rylee\"\ne33839,2020/02/28,mandarins,\"orange juice, tea, pineapple juice\",mouth wash,\"Avery, Benjamin\"\ne33840,2020/02/29,\"blackberries, cherres\",\"pineapple juice, coffee, orange juice, tea\",\"body lotion, shampoo, toilet paper\",\"Kayden, Emily\"\ne33843,2020/03/04,\"apricots, mangos\",\"mineral water, apple juice, mango juice\",\"shampoo, toilet paper\",\ne33844,2020/03/10,blueberries,\"pineapple juice, chocolate milk\",\"facial wash, toilet paper, mouthwash, mouth wash\",\ne33848,2020/03/16,\"nectarines, guava, blueberries\",\"tea, milk, soda\",\"shampoo, shaving cream\",\ne33850,2020/03/18,\"apricots, mangos, blackberries, pears\",\"coffee, sports drinks\",facial wash,\"Kayden, Andrew, Emily, Carter\"\ne33851,2020/03/23,\"pineapples, mangos, mandarins, nectarines\",\"orange juice, apple juice\",\"toothpaste, facial wash\",Carter\ne33858,2020/04/03,\"cherres, pears\",\"pineapple juice, apple juice, chocolate milk\",\"shaving cream, conditioner\",\ne33859,2020/04/07,peaches,mineral water,\"mouthwash, toothbrush, shampoo, toilet paper\",\ne33864,2020/04/21,\"cherres, blackberries, apples\",\"apple juice, soda, pineapple juice, coffee\",\"mouthwash, paper towel, body lotion, shaving cream\",\"Andrew, Carter, Kayden\"\ne33869,2020/04/23,\"blackberries, strawberries, guava, raspberries\",\"soda, apple juice, pineapple juice, mineral water\",conditioner,\"Willow, Benjamin, Jackson\"\ne33870,2020/04/25,pears,\"coffee, milk, guava juice\",facial wash,Jackson\ne33872,2020/04/29,\"pears, blueberries, mangos\",\"mineral water, apple juice\",\"paper towel, facial wash\",Jackson\ne33873,2020/05/05,watermelons,\"coffee, mango juice\",shaving cream,\ne33875,2020/05/08,\"bananas, guava, apples, mangos\",\"orange juice, sports drinks, pineapple juice, coffee\",\"shaving cream, toilet paper, body lotion\",\"Olivia, Nora, Rylee, Nevaeh\"\ne33876,2020/05/11,\"apples, peaches, pears\",mineral water,\"toilet paper, mouth wash, shampoo, toothpaste\",\ne33879,2020/05/17,peaches,\"soda, chocolate milk, orange juice\",mouthwash,\ne33881,2020/05/21,\"blueberries, mangos, apricots, blackberries\",\"orange juice, coffee\",\"toilet paper, facial wash\",\"Benjamin, Jackson, Willow, Avery\"\ne33882,2020/05/23,\"watermelons, pineapples, cherres\",apple juice,\"body lotion, toothbrush, paper towel, mouth wash\",Carter\ne33886,2020/05/27,\"apricots, blueberries, mandarins, peaches\",\"chocolate milk, soda\",\"body lotion, paper towel, toothbrush, mouth wash\",\"Eva, Claire, Layla, Nora, Piper, Hazel, Olivia, Kinsley, Nevaeh, Lydia\"\ne33887,2020/05/31,\"raspberries, watermelons\",\"mineral water, milk, orange juice\",\"body lotion, toothbrush, mouth wash, toothpaste\",\"Claire, Piper, Hazel, Avery, Piper, Nora, Kinsley\"\ne33890,2020/06/06,\"clementines, watermelons, mangos, pears\",chocolate milk,toilet paper,\ne33893,2020/06/14,\"mandarins, oranges, apricots, apples\",\"mango juice, coffee, soda, sports drinks\",\"body lotion, facial wash, shaving cream, mouth wash\",\"Carter, Kayden\"\ne33897,2020/06/20,\"mangos, clementines, bananas, raspberries\",\"mineral water, guava juice, pineapple juice\",\"mouth wash, toothbrush\",\"Jackson, Benjamin\"\ne33903,2020/06/27,\"nectarines, raspberries, guava, watermelons\",\"mango juice, guava juice\",\"body lotion, shaving cream, toothpaste, paper towel\",\"Emily, Carter, Andrew\"\ne33906,2020/07/03,\"pears, nectarines, blueberries, strawberries\",\"orange juice, coffee, sports drinks\",\"paper towel, toothpaste\",\ne33907,2020/07/06,\"bananas, guava, peaches\",mineral water,\"mouth wash, body lotion, mouthwash\",\"Emily, Andrew, Kayden, Carter\"\ne33910,2020/07/11,\"bananas, watermelons, apples, pineapples\",\"mango juice, coffee, apple juice, soda\",\"facial wash, toothpaste\",Willow\ne33913,2020/07/17,\"pears, pineapples\",\"orange juice, chocolate milk\",\"toothpaste, conditioner\",\ne33914,2020/07/20,\"mandarins, apricots, pears\",pineapple juice,facial wash,\ne33917,2020/07/22,\"blackberries, watermelons, strawberries, clementines\",\"milk, chocolate milk, tea\",\"toothpaste, shampoo, mouthwash\",\ne33918,2020/07/25,\"nectarines, bananas, strawberries, blueberries\",soda,\"conditioner, toilet paper, mouth wash\",\"Avery, Nevaeh, Hazel, Kinsley\"\ne33919,2020/07/31,\"mandarins, cherres\",\"soda, chocolate milk\",\"shaving cream, body lotion, toilet paper, mouth wash\",Carter\ne33920,2020/08/03,\"nectarines, apricots\",\"chocolate milk, pineapple juice\",\"toothpaste, shampoo, mouth wash, mouthwash\",\ne33923,2020/08/08,apples,chocolate milk,toothbrush,Kayden\ne33927,2020/08/13,\"cherres, nectarines\",\"apple juice, chocolate milk, sports drinks\",\"shampoo, toilet paper, facial wash, shaving cream\",\ne33928,2020/08/17,\"bananas, watermelons\",\"apple juice, mango juice, orange juice, mineral water\",shampoo,\ne33932,2020/08/20,mangos,\"pineapple juice, tea\",\"paper towel, mouthwash, facial wash\",\ne33933,2020/08/22,\"blackberries, cherres, strawberries, bananas\",\"apple juice, coffee\",\"toothbrush, mouthwash\",\ne33936,2020/08/27,\"peaches, nectarines, blackberries, pears\",chocolate milk,\"toilet paper, conditioner, body lotion\",\ne33937,2020/09/01,mandarins,\"mineral water, sports drinks, orange juice, coffee\",\"toothpaste, shampoo, shaving cream, paper towel\",\"Hazel, Kinsley, Nora, Piper, Olivia, Eva\"\ne33941,2020/09/03,\"pineapples, bananas, peaches, pears\",mango juice,\"facial wash, body lotion, paper towel, toilet paper\",\"Benjamin, Jackson, Avery, Willow\"\ne33942,2020/09/05,\"nectarines, cherres, peaches\",\"mineral water, coffee, milk, guava juice\",\"shaving cream, paper towel, toothpaste, mouth wash\",\"Andrew, Carter, Emily\"\ne33946,2020/09/09,cherres,mineral water,mouth wash,Piper\ne33947,2020/09/13,blackberries,\"milk, mineral water\",\"shaving cream, mouth wash, shampoo\",\ne33950,2020/09/16,\"bananas, nectarines\",mango juice,\"mouthwash, toothbrush, shampoo, conditioner\",\"Carter, Emily\"\ne33951,2020/09/19,\"nectarines, guava, bananas, mangos\",guava juice,shampoo,\"Rylee, Lydia, Avery, Hazel, Nora, Eva, Claire, Piper\"\ne33956,2020/09/25,\"cherres, oranges, blackberries, blueberries\",\"guava juice, coffee, orange juice, chocolate milk\",toothbrush,\"Carter, Emily\"\ne33957,2020/09/28,\"watermelons, oranges, apples, nectarines\",\"mango juice, sports drinks, coffee, apple juice\",\"mouthwash, toothpaste, mouth wash\",\ne33960,2020/10/04,apples,soda,\"shampoo, facial wash, mouth wash\",\"Claire, Olivia, Piper, Nevaeh, Kinsley, Eva, Piper, Avery, Rylee, Lydia\"\ne33963,2020/10/11,\"mandarins, apples, raspberries, pears\",pineapple juice,toothbrush,\ne33967,2020/10/16,pineapples,\"tea, coffee\",\"shampoo, facial wash, mouthwash\",\ne33970,2020/10/27,pears,\"guava juice, apple juice\",\"conditioner, toothbrush, shampoo\",\ne33972,2020/11/02,\"mangos, blackberries, pears\",tea,\"mouthwash, body lotion\",\"Carter, Emily\"\ne33976,2020/11/08,\"peaches, mandarins, strawberries, apples\",tea,\"conditioner, paper towel\",\"Kayden, Andrew, Emily, Carter\"\ne33980,2020/11/14,\"blackberries, apples, watermelons\",\"coffee, mango juice, sports drinks\",\"shampoo, paper towel, facial wash, body lotion\",\ne33985,2020/11/19,\"pineapples, nectarines\",\"guava juice, tea, chocolate milk, pineapple juice\",\"mouthwash, paper towel, toothbrush, facial wash\",\"Rylee, Olivia, Piper, Layla, Nevaeh, Kinsley, Lydia\"\ne33986,2020/11/21,\"nectarines, cherres, pineapples, oranges\",apple juice,\"mouth wash, paper towel, mouthwash\",\ne33990,2020/11/30,\"pears, blackberries\",\"mineral water, guava juice, chocolate milk\",paper towel,\ne33995,2020/12/03,\"mangos, pineapples\",\"apple juice, mineral water, sports drinks\",\"mouth wash, shaving cream\",\"Avery, Benjamin, Willow\"\ne33996,2020/12/05,apricots,\"orange juice, milk, chocolate milk\",toothpaste,\ne33998,2020/12/10,clementines,\"milk, mineral water, tea, mango juice\",\"toothbrush, conditioner, paper towel\",\"Claire, Eva, Kinsley, Piper\"\ne33999,2020/12/15,\"cherres, raspberries\",tea,\"mouth wash, conditioner, body lotion, paper towel\",\ne34001,2020/12/16,\"apricots, guava, bananas\",\"sports drinks, coffee\",\"toilet paper, mouthwash, facial wash\",\ne34004,2020/12/23,strawberries,apple juice,\"shaving cream, body lotion, mouthwash\",\ne34005,2020/12/28,\"clementines, blackberries\",\"coffee, milk\",conditioner,\ne37206,2021/01/03,blueberries,\"tea, coffee\",\"facial wash, shaving cream, mouth wash\",\"Andrew, Kayden, Carter\"\ne37207,2021/01/04,\"mandarins, guava, watermelons, mangos\",\"apple juice, coffee, sports drinks, tea\",\"body lotion, conditioner, mouth wash, mouthwash\",\"Willow, Benjamin\"\ne37209,2021/01/12,cherres,\"apple juice, mineral water, orange juice, pineapple juice\",\"mouth wash, shampoo, paper towel, conditioner\",\"Nora, Rylee, Kinsley, Claire, Nevaeh, Piper, Olivia, Avery, Lydia, Eva, Layla, Piper\"\ne37211,2021/01/21,\"bananas, nectarines, apples, apricots\",\"guava juice, coffee\",\"body lotion, toilet paper, shaving cream\",\ne37214,2021/01/26,raspberries,mineral water,\"toilet paper, mouthwash, facial wash\",\"Andrew, Kayden, Emily, Carter\"\ne37218,2021/01/30,\"nectarines, apricots\",\"apple juice, tea, chocolate milk\",\"conditioner, body lotion, mouthwash\",\ne37219,2021/02/04,\"guava, mangos\",\"soda, mango juice, apple juice\",\"conditioner, toothbrush, body lotion\",Kayden\ne37222,2021/02/10,\"pears, blackberries\",\"tea, orange juice\",\"facial wash, shampoo\",\ne37224,2021/02/13,raspberries,soda,\"shampoo, mouthwash\",\ne37225,2021/02/22,bananas,\"mineral water, mango juice, coffee, chocolate milk\",mouth wash,\ne37228,2021/03/02,\"blackberries, pineapples\",\"mango juice, milk, soda, mineral water\",\"mouth wash, mouthwash, toothpaste\",\"Carter, Kayden, Emily\"\ne37232,2021/03/05,\"clementines, pineapples, pears\",\"mango juice, soda\",mouth wash,\ne37233,2021/03/10,\"nectarines, pears, guava\",\"orange juice, chocolate milk, coffee\",\"conditioner, toothpaste\",Kinsley\ne37237,2021/03/12,\"oranges, bananas, strawberries, pineapples\",\"soda, guava juice, orange juice\",\"shaving cream, toothbrush, toothpaste, body lotion\",\ne37238,2021/03/15,\"strawberries, blackberries\",\"soda, guava juice, chocolate milk, sports drinks\",\"mouthwash, mouth wash, toothpaste\",\ne37242,2021/03/21,cherres,\"milk, coffee, soda\",mouthwash,\ne37247,2021/03/29,\"clementines, nectarines, blueberries\",\"orange juice, pineapple juice\",paper towel,\ne37250,2021/04/03,\"clementines, bananas, apricots, strawberries\",orange juice,toilet paper,\"Eva, Nora, Claire\"\ne37251,2021/04/06,\"clementines, mandarins, pears, mangos\",coffee,toothbrush,\"Avery, Willow, Jackson\"\ne37253,2021/04/10,\"blackberries, guava, peaches\",guava juice,\"shampoo, paper towel, toothbrush\",\ne37254,2021/04/12,\"pears, watermelons, clementines\",\"pineapple juice, orange juice, chocolate milk\",\"facial wash, toilet paper, body lotion\",Kayden\ne37258,2021/04/16,\"strawberries, bananas, mandarins, pineapples\",\"apple juice, guava juice\",\"toilet paper, shaving cream, body lotion\",\ne37259,2021/04/20,\"cherres, blueberries, pears\",\"orange juice, coffee\",body lotion,\ne37262,2021/04/23,raspberries,apple juice,\"toilet paper, paper towel, body lotion, shampoo\",\"Andrew, Kayden, Carter\"\ne37263,2021/04/28,cherres,\"orange juice, coffee\",\"toilet paper, toothpaste, paper towel, body lotion\",\ne37266,2021/05/04,\"bananas, pineapples, apples, cherres\",pineapple juice,\"body lotion, conditioner, paper towel, shampoo\",\ne37269,2021/05/09,\"cherres, watermelons\",\"coffee, pineapple juice, soda, tea\",\"toilet paper, facial wash, mouthwash, conditioner\",Emily\ne37270,2021/05/10,\"pears, pineapples, apricots\",\"mineral water, orange juice, milk\",toothbrush,\ne37273,2021/05/17,\"apricots, cherres, clementines\",\"milk, pineapple juice\",toothbrush,Lydia\ne37277,2021/05/23,\"apples, apricots\",\"apple juice, orange juice\",\"toilet paper, body lotion\",\"Rylee, Nevaeh, Avery, Lydia\"\ne37278,2021/05/27,peaches,\"guava juice, orange juice, apple juice\",\"paper towel, mouth wash, shaving cream\",\ne37283,2021/05/29,\"strawberries, raspberries, guava\",\"mango juice, mineral water, orange juice\",\"facial wash, shaving cream, body lotion, paper towel\",\"Kayden, Emily, Andrew, Carter\"\ne37284,2021/06/02,\"guava, pineapples, apricots\",tea,\"mouth wash, conditioner, facial wash\",\"Andrew, Kayden, Carter, Emily\"\ne37288,2021/06/10,\"nectarines, watermelons, bananas\",\"sports drinks, orange juice, mineral water\",\"facial wash, shampoo\",\ne37291,2021/06/13,\"nectarines, pineapples, raspberries, clementines\",\"mineral water, orange juice, tea, apple juice\",body lotion,\ne37292,2021/06/16,\"peaches, guava\",\"soda, apple juice, chocolate milk\",\"shaving cream, shampoo, mouth wash\",\"Piper, Olivia, Kinsley, Claire, Eva\"\ne37295,2021/06/25,cherres,\"mango juice, sports drinks, apple juice, tea\",\"shaving cream, body lotion, paper towel, conditioner\",\"Hazel, Kinsley, Claire, Lydia, Piper, Piper, Eva, Nevaeh, Rylee, Avery, Nora\"\ne37296,2021/06/30,\"apples, clementines, watermelons\",mineral water,\"shampoo, toothpaste, facial wash\",\ne37299,2021/07/06,\"oranges, pineapples, strawberries\",\"soda, tea, coffee, milk\",\"body lotion, mouthwash, mouth wash, shampoo\",\ne37304,2021/07/09,apricots,\"mineral water, chocolate milk\",\"mouthwash, shampoo\",\ne37305,2021/07/14,watermelons,\"tea, sports drinks\",\"mouthwash, toothpaste\",\"Kayden, Carter, Emily, Andrew\"\ne37307,2021/07/16,clementines,\"tea, soda\",toilet paper,\ne37308,2021/07/20,clementines,\"tea, chocolate milk, milk, guava juice\",\"shaving cream, toothbrush\",\"Kayden, Andrew, Emily, Carter\"\ne37311,2021/07/24,\"mangos, raspberries\",\"orange juice, coffee\",shaving cream,\"Andrew, Kayden, Emily, Carter\"\ne37313,2021/07/31,apples,\"coffee, sports drinks, mango juice, pineapple juice\",\"mouthwash, toilet paper, body lotion\",\"Claire, Piper, Avery, Eva, Piper\"\ne37314,2021/08/03,\"watermelons, mandarins\",\"guava juice, tea, soda\",mouth wash,\ne37316,2021/08/11,\"blackberries, oranges, mandarins, mangos\",milk,\"shampoo, toothbrush, mouthwash, body lotion\",\ne37319,2021/08/14,\"peaches, strawberries\",\"mineral water, apple juice, coffee, milk\",\"toilet paper, paper towel, mouthwash\",\"Layla, Hazel, Rylee\"\ne37320,2021/08/19,\"apples, nectarines\",\"chocolate milk, mineral water\",\"shaving cream, mouth wash, toilet paper, paper towel\",\ne37323,2021/08/21,\"guava, pineapples, apricots, watermelons\",sports drinks,\"mouth wash, toothpaste, paper towel, toothbrush\",\"Claire, Kinsley, Rylee, Nora, Hazel\"\ne37327,2021/08/28,strawberries,\"soda, chocolate milk\",\"mouthwash, shampoo\",\ne37328,2021/08/31,\"oranges, blueberries, watermelons\",\"soda, mineral water\",\"toilet paper, shaving cream, paper towel\",\"Nora, Avery, Rylee, Piper, Nevaeh, Claire, Eva, Lydia, Layla, Kinsley, Olivia, Hazel, Piper\"\ne37333,2021/09/05,\"guava, peaches, strawberries, mandarins\",\"orange juice, sports drinks, pineapple juice\",\"conditioner, shampoo, mouth wash\",\"Jackson, Avery, Willow\"\ne37334,2021/09/09,\"pears, watermelons, clementines\",\"soda, guava juice\",\"shaving cream, shampoo\",\ne37336,2021/09/12,\"strawberries, mandarins\",pineapple juice,body lotion,\ne37337,2021/09/13,\"raspberries, strawberries, watermelons, peaches\",\"tea, guava juice, milk\",\"facial wash, mouthwash, mouth wash\",Benjamin\ne37340,2021/09/19,\"mangos, mandarins\",\"milk, tea, mineral water\",\"mouth wash, shampoo, toothpaste\",\"Lydia, Avery, Layla, Kinsley, Rylee, Nora, Claire, Hazel, Piper\"\ne37341,2021/09/22,\"strawberries, bananas, clementines, peaches\",\"orange juice, coffee, tea, guava juice\",\"body lotion, mouthwash, facial wash, toilet paper\",\ne37346,2021/10/02,\"guava, bananas\",\"mango juice, sports drinks\",\"mouth wash, toothbrush, facial wash, conditioner\",\ne37347,2021/10/07,peaches,\"mango juice, apple juice\",\"shampoo, mouth wash\",\ne37351,2021/10/09,\"blueberries, blackberries, mandarins, clementines\",\"sports drinks, milk, mango juice, coffee\",\"paper towel, facial wash\",\"Willow, Jackson\"\ne37354,2021/10/16,\"pineapples, clementines, oranges, strawberries\",tea,\"body lotion, toothpaste, paper towel, conditioner\",\"Emily, Carter, Andrew\"\ne37355,2021/10/19,guava,\"apple juice, coffee, soda, tea\",toilet paper,\"Emily, Kayden\"\ne37359,2021/10/23,\"mangos, bananas, apricots, raspberries\",mango juice,mouthwash,\ne37360,2021/10/28,blackberries,\"soda, guava juice, mango juice, milk\",\"shampoo, mouthwash\",\ne37364,2021/10/31,\"strawberries, pineapples, guava\",\"apple juice, sports drinks, mineral water\",\"shaving cream, body lotion, toilet paper, shampoo\",\ne37365,2021/11/03,blackberries,\"chocolate milk, mineral water\",conditioner,\ne37368,2021/11/11,\"mangos, apples, blueberries\",mineral water,\"paper towel, shaving cream, facial wash, mouth wash\",\ne37371,2021/11/14,pineapples,\"milk, apple juice, orange juice\",\"toothpaste, mouthwash, shaving cream, conditioner\",\"Benjamin, Avery, Willow\"\ne37372,2021/11/17,\"mandarins, nectarines\",\"guava juice, sports drinks, pineapple juice\",\"toothpaste, mouth wash, body lotion, conditioner\",\ne37376,2021/11/19,\"blackberries, bananas, nectarines\",\"guava juice, chocolate milk, coffee, milk\",\"toothpaste, toothbrush\",\ne37377,2021/11/22,\"pineapples, apricots, clementines\",\"coffee, sports drinks\",\"body lotion, toothpaste\",\ne37382,2021/12/06,\"apricots, pears, guava\",\"chocolate milk, milk\",shampoo,\ne37386,2021/12/15,\"apples, clementines, guava\",\"apple juice, milk\",\"shaving cream, body lotion\",\"Carter, Kayden, Emily\"\ne37390,2021/12/20,\"strawberries, pineapples, bananas\",\"mango juice, sports drinks, soda, coffee\",\"toothbrush, body lotion, shaving cream, toothpaste\",Jackson\ne37393,2021/12/24,\"oranges, strawberries, nectarines\",\"mineral water, milk, soda\",\"mouth wash, toilet paper, shaving cream, facial wash\",\"Kinsley, Olivia, Nora, Layla, Eva, Claire, Piper, Avery, Piper, Nevaeh, Hazel\"\ne40575,2022/01/11,\"blackberries, bananas\",\"orange juice, mango juice, guava juice, milk\",\"body lotion, shampoo\",\"Andrew, Emily, Kayden, Carter\"\ne40580,2022/01/17,\"raspberries, apricots, pears, nectarines\",\"tea, apple juice, guava juice, pineapple juice\",\"conditioner, paper towel, facial wash, mouthwash\",\"Benjamin, Willow\"\ne40581,2022/01/21,\"nectarines, oranges, blackberries\",mango juice,paper towel,\"Andrew, Kayden, Carter\"\ne40585,2022/01/22,mandarins,chocolate milk,conditioner,\"Avery, Benjamin, Willow\"\ne40586,2022/01/28,\"oranges, nectarines, blueberries, peaches\",\"tea, pineapple juice, chocolate milk\",\"toilet paper, body lotion, shampoo, paper towel\",\ne40591,2022/02/03,\"raspberries, apples\",\"sports drinks, chocolate milk\",\"toilet paper, mouthwash\",\"Rylee, Piper, Kinsley, Hazel, Piper, Olivia, Lydia, Layla, Nevaeh, Eva, Avery\"\ne40595,2022/02/05,clementines,\"pineapple juice, orange juice, soda, sports drinks\",facial wash,\ne40596,2022/02/10,\"bananas, mandarins, apricots, strawberries\",\"guava juice, sports drinks\",\"paper towel, conditioner, body lotion, shampoo\",\ne40599,2022/02/12,guava,chocolate milk,\"mouth wash, toothbrush\",\"Claire, Nevaeh, Piper, Avery, Lydia, Nora, Olivia, Kinsley, Piper, Layla, Rylee, Eva, Hazel\"\ne40600,2022/02/18,\"blackberries, peaches, mandarins\",\"pineapple juice, orange juice, tea, sports drinks\",\"shaving cream, mouthwash, toilet paper\",\"Jackson, Avery, Benjamin, Willow\"\ne40603,2022/02/20,\"pears, nectarines, oranges\",pineapple juice,\"mouthwash, toothbrush\",\ne40604,2022/02/24,blueberries,\"orange juice, milk, tea\",\"shampoo, body lotion, paper towel\",\"Carter, Andrew\"\ne40607,2022/03/02,mandarins,\"guava juice, mango juice, orange juice\",\"shaving cream, conditioner\",\ne40608,2022/03/06,cherres,\"apple juice, tea, mango juice\",\"toilet paper, conditioner, mouth wash\",\"Kayden, Emily\"\ne40609,2022/03/09,\"oranges, clementines, peaches, watermelons\",\"chocolate milk, apple juice, mineral water\",\"facial wash, shampoo\",\"Emily, Carter, Andrew, Kayden\"\ne40610,2022/03/13,watermelons,\"chocolate milk, mineral water, soda\",mouthwash,\"Layla, Rylee, Eva, Kinsley, Olivia\"\ne40611,2022/03/18,guava,milk,\"shampoo, toothpaste\",\"Kayden, Emily, Carter\"\ne40614,2022/03/25,raspberries,\"orange juice, pineapple juice\",body lotion,\"Benjamin, Jackson\"\ne40619,2022/03/29,\"peaches, apricots, cherres\",sports drinks,\"toothpaste, toilet paper, shaving cream, shampoo\",\"Jackson, Benjamin, Willow, Avery\"\ne40623,2022/04/04,\"clementines, pineapples, blackberries, watermelons\",\"chocolate milk, coffee, soda\",mouth wash,\ne40624,2022/04/07,\"pineapples, peaches\",apple juice,\"shampoo, toilet paper\",\"Andrew, Carter, Emily\"\ne40626,2022/04/11,\"blueberries, raspberries, mangos, apricots\",\"mango juice, chocolate milk, orange juice, pineapple juice\",\"facial wash, mouth wash, toothbrush, shaving cream\",\ne40627,2022/04/13,\"cherres, guava, strawberries\",\"mango juice, soda, pineapple juice\",\"toothbrush, shampoo\",Andrew\ne40631,2022/04/22,bananas,guava juice,shampoo,\"Eva, Piper, Hazel, Kinsley, Nora, Nevaeh\"\ne40635,2022/04/23,\"bananas, watermelons\",soda,\"body lotion, shaving cream, shampoo\",\"Nora, Piper, Hazel, Lydia, Layla, Avery, Olivia, Nevaeh, Claire, Piper, Kinsley, Rylee, Eva\"\ne40636,2022/04/27,\"cherres, oranges, mandarins\",\"apple juice, sports drinks, mango juice, chocolate milk\",\"body lotion, paper towel, conditioner\",\"Eva, Layla, Lydia, Rylee, Olivia, Kinsley, Piper, Claire\"\ne40639,2022/04/30,\"bananas, blackberries, apricots, watermelons\",\"guava juice, mango juice, tea, soda\",\"toothpaste, shampoo, shaving cream, conditioner\",\ne40640,2022/05/04,cherres,\"apple juice, guava juice\",mouthwash,\ne40642,2022/05/08,\"cherres, watermelons, clementines\",\"orange juice, pineapple juice\",\"mouth wash, paper towel, mouthwash\",\ne40643,2022/05/13,\"clementines, blueberries\",\"coffee, sports drinks, milk\",\"facial wash, toothpaste, conditioner\",\"Andrew, Carter, Kayden\"\ne40647,2022/05/16,\"raspberries, apples, strawberries\",\"sports drinks, guava juice\",\"shampoo, shaving cream, body lotion, mouthwash\",\ne40648,2022/05/22,\"blueberries, mangos, apples\",coffee,\"shaving cream, paper towel, shampoo, toothpaste\",\ne40649,2022/05/25,\"peaches, guava, apples, oranges\",\"pineapple juice, tea, apple juice, soda\",\"facial wash, toothbrush\",\"Benjamin, Avery\"\ne40651,2022/06/01,\"guava, nectarines, pears, mangos\",\"coffee, soda\",\"shampoo, mouth wash\",\ne40655,2022/06/06,\"nectarines, cherres, blackberries, apricots\",\"tea, orange juice, guava juice, mango juice\",\"toilet paper, toothpaste\",\ne40656,2022/06/07,\"blueberries, watermelons, strawberries, raspberries\",\"tea, milk\",\"toothbrush, shaving cream, shampoo, paper towel\",\ne40660,2022/06/11,\"nectarines, strawberries, apples, mandarins\",\"guava juice, chocolate milk, tea\",\"toilet paper, facial wash, paper towel, conditioner\",\ne40661,2022/06/16,\"strawberries, peaches\",\"orange juice, mango juice, tea\",\"shaving cream, shampoo, toothbrush, facial wash\",\ne40663,2022/06/18,\"cherres, guava, mangos, peaches\",guava juice,\"shampoo, mouthwash, conditioner\",\"Andrew, Carter, Emily\"\ne40664,2022/06/22,\"apricots, mandarins\",\"sports drinks, mineral water\",\"shaving cream, body lotion, shampoo, toothpaste\",\ne40668,2022/06/28,bananas,\"tea, apple juice, milk\",\"mouthwash, mouth wash\",\ne40672,2022/07/07,\"pears, peaches\",\"mineral water, tea, milk, soda\",\"shaving cream, mouth wash\",\"Nevaeh, Olivia, Nora\"\ne40675,2022/07/15,nectarines,\"tea, chocolate milk, guava juice\",\"mouth wash, paper towel, conditioner, toothbrush\",\ne40676,2022/07/17,\"blueberries, blackberries, clementines\",orange juice,\"mouth wash, body lotion, shampoo\",\ne40677,2022/07/20,\"apricots, pineapples\",\"orange juice, tea, mango juice\",\"toothbrush, body lotion, mouth wash, shampoo\",\ne40683,2022/07/29,\"clementines, bananas, strawberries\",\"pineapple juice, apple juice\",\"facial wash, body lotion, toilet paper\",\ne40688,2022/08/02,\"mangos, pineapples\",\"coffee, sports drinks, apple juice, chocolate milk\",toilet paper,\"Willow, Benjamin, Jackson\"\ne40692,2022/08/08,\"raspberries, bananas, pears\",\"milk, sports drinks\",\"mouth wash, facial wash, toilet paper, toothpaste\",\ne40693,2022/08/10,\"bananas, blackberries\",\"mango juice, milk, tea\",mouthwash,\"Carter, Andrew\"\ne40696,2022/08/18,\"apricots, pears\",\"milk, soda, orange juice, mango juice\",\"paper towel, toothbrush, mouth wash, toilet paper\",\ne40699,2022/08/20,\"raspberries, nectarines, cherres, blueberries\",\"milk, tea\",\"conditioner, toothbrush, shaving cream\",\"Olivia, Kinsley, Hazel, Lydia, Nora, Piper, Piper, Eva, Claire, Avery, Rylee, Nevaeh, Layla\"\ne40703,2022/08/29,\"pears, mangos, raspberries\",\"orange juice, sports drinks, mango juice\",\"shampoo, toilet paper\",\"Carter, Kayden, Andrew, Emily\"\ne40704,2022/09/02,apples,orange juice,\"facial wash, toothpaste\",\ne40709,2022/09/03,\"mangos, watermelons, peaches, raspberries\",\"guava juice, mango juice\",shampoo,\ne40710,2022/09/07,blueberries,\"tea, soda, apple juice\",\"mouth wash, paper towel, conditioner, toothpaste\",\ne40713,2022/09/13,\"apricots, peaches\",coffee,\"paper towel, toothpaste, facial wash\",\ne40716,2022/09/19,\"pears, peaches, mangos\",\"tea, chocolate milk\",\"toilet paper, paper towel\",\"Kayden, Andrew, Emily\"\ne40717,2022/09/21,\"watermelons, pears, guava\",\"milk, mineral water, mango juice\",\"mouth wash, body lotion\",\"Piper, Hazel, Piper, Kinsley, Nevaeh\"\ne40718,2022/09/25,\"guava, apricots\",\"orange juice, sports drinks, mango juice, chocolate milk\",\"mouthwash, toothpaste, paper towel, facial wash\",\ne40721,2022/10/01,\"bananas, oranges, pineapples\",\"orange juice, mineral water, guava juice\",\"toothpaste, conditioner, toilet paper, toothbrush\",\"Andrew, Carter\"\ne40722,2022/10/06,\"cherres, blueberries, oranges\",\"mineral water, sports drinks\",\"mouth wash, toilet paper\",Benjamin\ne40725,2022/10/08,\"mandarins, oranges, cherres, mangos\",\"mineral water, tea, orange juice\",mouthwash,\"Eva, Rylee, Layla, Olivia, Piper, Avery, Kinsley, Nevaeh, Lydia, Nora, Hazel, Claire\"\ne40726,2022/10/12,mandarins,\"soda, mineral water, apple juice\",\"toothbrush, body lotion\",Avery\ne40731,2022/10/21,\"nectarines, oranges\",pineapple juice,\"paper towel, conditioner, body lotion\",\"Carter, Andrew\"\ne40735,2022/10/22,\"raspberries, oranges, apples, watermelons\",\"sports drinks, tea, mineral water, orange juice\",\"conditioner, shaving cream\",\ne40736,2022/10/26,\"blueberries, clementines, apricots\",\"pineapple juice, mango juice, guava juice, apple juice\",\"toothpaste, toilet paper, mouthwash, mouth wash\",\"Carter, Andrew\"\ne40739,2022/10/29,blackberries,\"sports drinks, apple juice, mango juice\",\"shaving cream, mouthwash, paper towel\",\ne40740,2022/11/03,\"cherres, watermelons, nectarines\",chocolate milk,conditioner,\ne40742,2022/11/07,\"apples, cherres, pears, clementines\",\"mineral water, orange juice\",\"toothbrush, facial wash\",\ne40743,2022/11/18,strawberries,\"chocolate milk, mango juice\",\"mouth wash, shaving cream\",\"Rylee, Kinsley\"\ne40748,2022/11/21,\"cherres, guava, nectarines\",apple juice,\"mouth wash, shaving cream, shampoo\",\"Andrew, Kayden, Carter\"\ne40749,2022/11/22,bananas,\"mango juice, orange juice, mineral water\",\"facial wash, toothpaste\",\"Kinsley, Nora, Layla, Olivia, Rylee, Claire\"\ne40752,2022/11/29,\"mandarins, guava\",\"tea, pineapple juice, chocolate milk\",\"toothpaste, toothbrush\",\ne40758,2022/12/03,guava,mineral water,\"shampoo, facial wash, paper towel, shaving cream\",\ne40763,2022/12/10,\"blackberries, nectarines\",\"chocolate milk, orange juice, coffee, pineapple juice\",\"mouthwash, toothbrush, toilet paper\",\ne40764,2022/12/13,oranges,\"sports drinks, milk, tea, soda\",\"toothpaste, conditioner, body lotion, paper towel\",\ne40768,2022/12/19,\"guava, blackberries, clementines, pears\",\"apple juice, guava juice\",\"mouth wash, shaving cream\",\"Eva, Olivia, Nora, Avery, Layla, Kinsley\"\ne40769,2022/12/22,\"mangos, guava\",\"coffee, mango juice, apple juice, milk\",\"toilet paper, shampoo\",\ne40772,2022/12/26,\"mandarins, clementines\",\"orange juice, sports drinks, pineapple juice, tea\",\"toilet paper, shampoo, mouthwash, mouth wash\",\ne40773,2022/12/30,cherres,\"soda, mango juice, chocolate milk\",\"shaving cream, body lotion, shampoo\",\"Willow, Jackson\"\ne40775,2022/12/31,\"nectarines, mandarins\",\"sports drinks, soda, tea, mineral water\",shaving cream,\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/dense-100/weekly_hobby-log.csv",
    "content": "eid,date,hobbies,people_string\ne18,2010/01/05,meditation,\ne22,2010/01/21,yoga,\ne36,2010/02/25,gardening,\ne39,2010/03/03,yoga,\ne52,2010/03/29,working out,\"Andrew, Carter, Emily\"\ne57,2010/04/02,working out,\ne61,2010/04/16,meditation,\ne66,2010/04/24,gardening,\"Jackson, Avery, Willow\"\ne67,2010/04/29,yoga,\ne71,2010/05/03,learning a language,\ne73,2010/05/07,yoga,\ne76,2010/05/16,learning a language,Nora\ne77,2010/05/18,learning a language,\"Andrew, Carter\"\ne81,2010/05/27,yoga,Carter\ne84,2010/06/01,yoga,\ne87,2010/06/05,meditation,Carter\ne91,2010/06/17,meditation,\"Emily, Kayden\"\ne94,2010/06/20,meditation,\ne95,2010/06/23,meditation,\ne98,2010/06/26,gardening,\ne99,2010/06/28,working out,\"Piper, Avery\"\ne104,2010/07/06,yoga,\ne112,2010/07/19,working out,\ne115,2010/07/25,working out,\ne116,2010/07/27,yoga,\"Kayden, Andrew\"\ne120,2010/07/30,learning a language,\ne125,2010/08/09,working out,\ne128,2010/08/14,yoga,\ne132,2010/08/22,yoga,\ne135,2010/08/28,gardening,\ne139,2010/09/07,working out,\ne143,2010/09/12,yoga,\ne151,2010/09/28,learning a language,\"Emily, Andrew\"\ne156,2010/10/03,yoga,\"Olivia, Piper, Claire\"\ne163,2010/10/16,working out,\ne167,2010/10/24,yoga,\"Piper, Hazel, Layla\"\ne172,2010/10/29,working out,\"Avery, Rylee, Eva\"\ne179,2010/11/13,yoga,Emily\ne182,2010/11/20,learning a language,\"Rylee, Claire, Nora\"\ne188,2010/12/09,learning a language,\ne192,2010/12/14,learning a language,\ne198,2010/12/26,learning a language,\ne199,2010/12/29,yoga,\"Emily, Carter, Kayden\"\ne202,2010/12/31,yoga,Avery\ne3400,2011/01/05,yoga,\"Eva, Piper, Rylee\"\ne3404,2011/01/11,gardening,\ne3407,2011/01/17,yoga,\ne3408,2011/01/20,learning a language,Kayden\ne3412,2011/01/28,working out,\ne3419,2011/02/07,learning a language,\ne3423,2011/02/15,working out,\ne3432,2011/03/08,working out,\"Avery, Willow\"\ne3437,2011/03/15,gardening,\ne3440,2011/03/20,meditation,\"Kinsley, Piper\"\ne3445,2011/03/30,yoga,\ne3451,2011/04/13,gardening,\ne3455,2011/04/22,learning a language,Andrew\ne3458,2011/04/24,gardening,\ne3462,2011/05/02,working out,\ne3463,2011/05/05,meditation,\ne3470,2011/05/20,meditation,Olivia\ne3478,2011/06/05,yoga,\ne3482,2011/06/12,working out,\ne3483,2011/06/14,gardening,\"Emily, Carter, Kayden\"\ne3492,2011/06/26,yoga,\ne3493,2011/06/29,meditation,\ne3497,2011/07/08,working out,\ne3500,2011/07/14,gardening,\ne3512,2011/08/13,yoga,\ne3516,2011/08/26,learning a language,\ne3518,2011/08/29,gardening,\ne3520,2011/09/09,gardening,Kinsley\ne3528,2011/09/19,learning a language,\ne3529,2011/09/20,learning a language,Olivia\ne3533,2011/09/24,working out,\ne3538,2011/10/03,working out,Carter\ne3543,2011/10/20,meditation,\"Kayden, Andrew, Carter\"\ne3548,2011/10/28,meditation,\ne3553,2011/11/08,working out,Carter\ne3558,2011/11/23,gardening,\ne3566,2011/12/07,working out,\"Andrew, Kayden\"\ne3571,2011/12/10,meditation,\"Andrew, Carter\"\ne3575,2011/12/21,working out,Willow\ne3578,2011/12/28,yoga,\ne6778,2012/01/06,yoga,\"Nevaeh, Eva, Layla\"\ne6782,2012/01/14,working out,\ne6789,2012/02/03,learning a language,\ne6797,2012/02/12,working out,\ne6798,2012/02/18,meditation,\ne6801,2012/02/22,working out,\ne6804,2012/03/03,working out,\"Andrew, Kayden, Carter\"\ne6811,2012/03/16,meditation,\ne6817,2012/03/26,learning a language,\ne6821,2012/04/07,working out,\ne6831,2012/04/25,yoga,Carter\ne6835,2012/04/29,gardening,\"Benjamin, Jackson\"\ne6847,2012/05/29,meditation,\ne6850,2012/06/05,meditation,\ne6851,2012/06/09,meditation,\ne6855,2012/06/11,yoga,\ne6865,2012/07/01,gardening,\ne6866,2012/07/05,meditation,\"Carter, Emily, Andrew\"\ne6868,2012/07/08,yoga,\ne6869,2012/07/14,learning a language,\ne6874,2012/07/28,yoga,\"Carter, Kayden, Emily\"\ne6878,2012/08/03,gardening,Andrew\ne6883,2012/08/08,gardening,\"Kayden, Carter, Emily\"\ne6887,2012/08/12,yoga,\ne6888,2012/08/18,gardening,\"Emily, Andrew\"\ne6891,2012/08/19,gardening,\ne6898,2012/09/04,meditation,\"Eva, Hazel\"\ne6899,2012/09/08,learning a language,\ne6902,2012/09/12,yoga,\ne6907,2012/09/17,working out,\ne6911,2012/09/23,meditation,\"Carter, Kayden\"\ne6912,2012/09/26,gardening,\ne6916,2012/10/01,meditation,\ne6917,2012/10/05,yoga,\ne6936,2012/11/15,learning a language,Carter\ne6938,2012/11/20,learning a language,\ne6945,2012/12/05,meditation,\ne6948,2012/12/14,meditation,\"Emily, Andrew, Carter\"\ne6952,2012/12/22,learning a language,Emily\ne6956,2012/12/26,meditation,\ne10195,2013/01/07,working out,\ne10208,2013/02/03,gardening,\ne10213,2013/02/13,gardening,\"Lydia, Rylee, Piper\"\ne10216,2013/02/24,yoga,\"Avery, Nora, Layla\"\ne10222,2013/03/09,yoga,\ne10227,2013/03/24,meditation,\ne10232,2013/04/01,learning a language,\ne10236,2013/04/04,learning a language,\"Piper, Rylee, Lydia\"\ne10237,2013/04/08,meditation,\"Nevaeh, Lydia, Avery\"\ne10239,2013/04/15,learning a language,\ne10253,2013/05/23,gardening,\ne10263,2013/06/17,meditation,\ne10266,2013/06/18,yoga,\ne10267,2013/06/22,meditation,\ne10271,2013/06/25,yoga,\"Jackson, Willow\"\ne10274,2013/07/10,learning a language,\"Benjamin, Willow\"\ne10275,2013/07/12,working out,\ne10281,2013/07/26,working out,\ne10284,2013/08/05,yoga,\"Kayden, Andrew\"\ne10290,2013/08/15,yoga,\ne10299,2013/08/29,learning a language,\ne10300,2013/08/31,meditation,\"Carter, Kayden\"\ne10304,2013/09/16,gardening,\ne10317,2013/10/21,gardening,Emily\ne10322,2013/10/30,yoga,\"Hazel, Piper, Layla\"\ne10323,2013/11/02,working out,\"Layla, Kinsley\"\ne10326,2013/11/11,learning a language,\"Emily, Kayden\"\ne10329,2013/11/14,working out,\ne10330,2013/11/18,meditation,\ne10334,2013/11/24,working out,\ne10348,2013/12/26,gardening,Carter\ne13509,2014/01/06,working out,\ne13512,2014/01/10,working out,\"Carter, Andrew, Kayden\"\ne13513,2014/01/11,meditation,\ne13516,2014/01/21,gardening,\ne13517,2014/01/25,meditation,\"Jackson, Benjamin, Avery\"\ne13523,2014/02/01,meditation,\ne13531,2014/02/14,gardening,\ne13532,2014/02/17,meditation,\ne13536,2014/02/21,learning a language,\"Nora, Avery, Piper\"\ne13537,2014/02/24,working out,\"Benjamin, Jackson\"\ne13544,2014/03/06,gardening,\"Andrew, Emily\"\ne13545,2014/03/09,yoga,\ne13550,2014/03/15,learning a language,\ne13555,2014/03/25,meditation,\ne13558,2014/03/28,working out,\ne13564,2014/04/12,meditation,\ne13568,2014/04/17,meditation,\ne13569,2014/04/20,meditation,\"Carter, Emily, Andrew\"\ne13573,2014/04/25,learning a language,\"Andrew, Emily, Carter\"\ne13576,2014/05/06,learning a language,\ne13579,2014/05/08,meditation,\ne13583,2014/05/19,learning a language,\ne13591,2014/05/30,yoga,\ne13592,2014/06/03,gardening,\ne13596,2014/06/06,yoga,\ne13614,2014/07/09,gardening,\"Emily, Andrew, Carter\"\ne13615,2014/07/12,meditation,\ne13619,2014/07/17,gardening,\"Eva, Piper\"\ne13623,2014/07/27,learning a language,\ne13632,2014/08/14,gardening,\"Willow, Jackson\"\ne13637,2014/08/21,learning a language,Rylee\ne13641,2014/08/30,gardening,\ne13653,2014/09/21,gardening,\ne13661,2014/10/02,learning a language,\"Kayden, Andrew, Emily\"\ne13662,2014/10/05,learning a language,\ne13667,2014/10/14,yoga,\ne13671,2014/10/17,gardening,\"Piper, Avery, Rylee\"\ne13675,2014/10/22,meditation,\ne13676,2014/10/25,gardening,Jackson\ne13680,2014/10/31,gardening,\ne13684,2014/11/05,yoga,\ne13687,2014/11/14,working out,Layla\ne13688,2014/11/15,working out,\"Avery, Olivia\"\ne13692,2014/11/22,working out,\"Nora, Olivia, Nevaeh\"\ne13697,2014/12/02,meditation,\ne13708,2014/12/17,yoga,\ne16912,2015/01/07,meditation,\ne16915,2015/01/12,yoga,\ne16925,2015/02/08,gardening,\ne16928,2015/02/16,working out,\"Jackson, Avery\"\ne16932,2015/02/25,meditation,\ne16938,2015/03/07,gardening,\ne16943,2015/03/17,working out,\ne16950,2015/03/28,meditation,\ne16951,2015/04/01,gardening,\ne16958,2015/04/10,gardening,Andrew\ne16969,2015/05/02,working out,\ne16974,2015/05/07,gardening,\ne16977,2015/05/19,meditation,\"Kinsley, Eva\"\ne16981,2015/05/24,learning a language,Carter\ne16997,2015/07/08,gardening,\ne17002,2015/07/22,gardening,\ne17005,2015/07/23,gardening,\ne17011,2015/08/08,gardening,\ne17014,2015/08/14,gardening,\"Kayden, Andrew, Emily\"\ne17022,2015/08/27,yoga,\ne17029,2015/09/12,working out,\"Kayden, Carter, Emily\"\ne17030,2015/09/14,meditation,\ne17035,2015/09/18,learning a language,\ne17036,2015/09/23,gardening,\ne17039,2015/09/28,gardening,\ne17043,2015/10/01,working out,\ne17054,2015/10/25,working out,\ne17077,2015/12/12,meditation,\ne17078,2015/12/15,gardening,\ne17082,2015/12/17,learning a language,\ne20259,2016/01/01,learning a language,\ne20262,2016/01/11,yoga,Andrew\ne20265,2016/01/15,gardening,\ne20268,2016/01/25,gardening,\"Nora, Avery, Olivia\"\ne20273,2016/02/07,meditation,\ne20274,2016/02/08,meditation,\ne20277,2016/02/14,meditation,\ne20288,2016/03/07,meditation,Carter\ne20301,2016/04/07,learning a language,\ne20306,2016/04/08,meditation,\ne20310,2016/04/20,gardening,\ne20319,2016/05/07,learning a language,\"Eva, Claire, Olivia\"\ne20328,2016/05/30,gardening,Nora\ne20338,2016/06/17,gardening,\ne20341,2016/07/05,gardening,\ne20346,2016/07/12,gardening,\ne20358,2016/08/01,working out,\ne20362,2016/08/07,learning a language,\ne20372,2016/08/29,yoga,\ne20377,2016/09/10,meditation,\"Hazel, Piper\"\ne20380,2016/09/22,learning a language,\ne20384,2016/09/27,working out,Emily\ne20387,2016/10/02,meditation,\"Rylee, Lydia\"\ne20391,2016/10/11,gardening,\ne20395,2016/10/20,gardening,\"Layla, Hazel, Kinsley\"\ne20398,2016/10/22,yoga,\"Piper, Avery\"\ne20401,2016/10/29,working out,\"Willow, Jackson\"\ne20405,2016/11/04,meditation,\ne20410,2016/11/12,yoga,\ne20418,2016/12/01,meditation,\ne20426,2016/12/22,meditation,\ne20428,2016/12/25,learning a language,\ne23640,2017/02/01,yoga,\ne23644,2017/02/06,gardening,\"Emily, Kayden\"\ne23654,2017/02/27,meditation,\ne23662,2017/03/14,yoga,\ne23669,2017/03/30,gardening,\ne23674,2017/04/02,yoga,Jackson\ne23678,2017/04/14,gardening,\ne23686,2017/04/24,learning a language,\ne23687,2017/04/28,working out,\"Emily, Andrew, Kayden\"\ne23690,2017/05/01,meditation,\"Claire, Nevaeh\"\ne23691,2017/05/06,learning a language,\ne23694,2017/05/10,working out,\"Benjamin, Avery, Jackson\"\ne23698,2017/05/20,yoga,\ne23702,2017/05/26,meditation,\ne23706,2017/05/29,working out,\ne23715,2017/06/12,yoga,\ne23716,2017/06/15,gardening,\ne23721,2017/06/19,yoga,\ne23725,2017/06/25,working out,\ne23730,2017/07/05,learning a language,\ne23737,2017/07/18,meditation,\"Hazel, Piper, Eva\"\ne23742,2017/07/24,meditation,\"Rylee, Layla, Hazel\"\ne23743,2017/07/28,gardening,\ne23747,2017/07/30,gardening,\ne23748,2017/08/04,gardening,Kayden\ne23752,2017/08/06,learning a language,Kayden\ne23755,2017/08/18,meditation,\ne23762,2017/09/02,meditation,\ne23768,2017/09/12,gardening,\ne23769,2017/09/13,working out,\ne23776,2017/09/28,meditation,\ne23783,2017/10/13,gardening,\ne23788,2017/10/19,working out,\ne23791,2017/10/22,learning a language,Nevaeh\ne23792,2017/10/25,yoga,\"Hazel, Nora\"\ne23804,2017/11/20,learning a language,\"Lydia, Piper, Piper\"\ne23805,2017/11/24,learning a language,\"Andrew, Emily\"\ne23810,2017/12/02,working out,\ne23820,2017/12/11,learning a language,Andrew\ne23821,2017/12/13,yoga,\"Andrew, Emily, Kayden\"\ne23825,2017/12/20,gardening,\ne23829,2017/12/24,yoga,\ne27018,2018/01/03,working out,\ne27019,2018/01/06,working out,\"Piper, Lydia, Layla\"\ne27023,2018/01/14,meditation,Avery\ne27028,2018/01/20,learning a language,\ne27032,2018/01/23,yoga,Layla\ne27038,2018/02/11,working out,\"Avery, Jackson, Benjamin\"\ne27047,2018/02/19,gardening,Avery\ne27048,2018/02/24,working out,\ne27052,2018/02/28,gardening,\ne27053,2018/03/04,learning a language,\ne27057,2018/03/09,working out,\ne27061,2018/03/19,meditation,\ne27066,2018/04/03,working out,Emily\ne27067,2018/04/08,learning a language,\ne27070,2018/04/10,gardening,\ne27071,2018/04/15,yoga,\"Eva, Kinsley\"\ne27075,2018/04/18,working out,\ne27076,2018/04/21,meditation,\ne27090,2018/05/23,working out,\ne27093,2018/06/03,gardening,\ne27097,2018/06/04,gardening,\ne27103,2018/06/18,meditation,\"Kayden, Carter, Andrew\"\ne27107,2018/06/27,gardening,\"Olivia, Hazel, Kinsley\"\ne27114,2018/07/13,learning a language,Claire\ne27120,2018/07/29,meditation,\"Emily, Andrew, Kayden\"\ne27125,2018/08/01,meditation,Nora\ne27126,2018/08/02,meditation,\ne27131,2018/08/08,meditation,\ne27136,2018/08/17,working out,\ne27139,2018/08/23,meditation,\"Andrew, Emily\"\ne27142,2018/08/28,learning a language,\"Hazel, Eva\"\ne27143,2018/08/31,yoga,\ne27147,2018/09/05,yoga,\ne27148,2018/09/07,gardening,\ne27155,2018/09/23,meditation,\ne27164,2018/10/01,learning a language,\ne27181,2018/11/04,yoga,\"Andrew, Emily, Carter\"\ne27186,2018/11/10,working out,Andrew\ne27193,2018/11/30,working out,\ne27196,2018/12/04,gardening,\ne27200,2018/12/10,working out,\ne27207,2018/12/28,meditation,\ne30439,2019/01/08,working out,\ne30442,2019/01/18,yoga,\ne30450,2019/02/03,gardening,\ne30454,2019/02/09,gardening,Hazel\ne30482,2019/04/11,yoga,\ne30487,2019/04/17,working out,\ne30488,2019/04/22,learning a language,\"Emily, Kayden, Carter\"\ne30492,2019/04/25,gardening,\"Emily, Andrew\"\ne30498,2019/05/08,yoga,\ne30502,2019/05/15,meditation,\ne30503,2019/05/19,yoga,\ne30510,2019/05/29,meditation,\ne30514,2019/06/05,gardening,\"Nora, Rylee, Hazel\"\ne30520,2019/06/23,learning a language,\ne30524,2019/06/28,gardening,\ne30528,2019/07/06,working out,\ne30543,2019/08/12,gardening,\"Avery, Jackson\"\ne30546,2019/08/13,learning a language,\"Benjamin, Willow\"\ne30547,2019/08/17,working out,\ne30550,2019/08/26,yoga,Avery\ne30556,2019/08/27,gardening,\ne30559,2019/09/04,gardening,\ne30560,2019/09/07,learning a language,\"Kayden, Andrew, Carter\"\ne30566,2019/09/19,meditation,\ne30572,2019/10/02,learning a language,\ne30573,2019/10/04,learning a language,Emily\ne30580,2019/10/15,yoga,\"Kayden, Carter, Andrew\"\ne30581,2019/10/18,meditation,\"Kayden, Emily, Carter\"\ne30585,2019/10/23,gardening,\ne30596,2019/11/12,meditation,\ne30602,2019/11/25,working out,\ne30605,2019/12/04,gardening,Carter\ne30606,2019/12/08,meditation,\"Willow, Benjamin, Jackson\"\ne30611,2019/12/12,learning a language,Emily\ne30612,2019/12/13,yoga,Benjamin\ne30616,2019/12/20,meditation,Carter\ne30624,2019/12/31,meditation,\ne33804,2020/01/04,gardening,\"Carter, Kayden\"\ne33814,2020/01/23,working out,\ne33819,2020/01/30,learning a language,Emily\ne33820,2020/02/02,gardening,\ne33825,2020/02/06,learning a language,\ne33830,2020/02/12,yoga,\ne33838,2020/02/26,yoga,\ne33847,2020/03/17,learning a language,\ne33854,2020/03/26,gardening,\ne33857,2020/04/04,learning a language,\ne33862,2020/04/16,learning a language,\"Andrew, Kayden\"\ne33863,2020/04/21,meditation,\ne33868,2020/04/27,yoga,\ne33880,2020/05/20,learning a language,\ne33885,2020/06/01,working out,\ne33896,2020/06/22,working out,\ne33901,2020/06/24,working out,\"Kayden, Andrew, Carter\"\ne33902,2020/06/27,meditation,\ne33905,2020/07/07,working out,\ne33909,2020/07/08,working out,\ne33912,2020/07/21,gardening,\ne33916,2020/07/28,meditation,\ne33922,2020/08/06,working out,\ne33926,2020/08/13,meditation,\ne33931,2020/08/24,meditation,\ne33935,2020/09/01,meditation,\ne33940,2020/09/03,working out,\ne33944,2020/09/10,gardening,\ne33945,2020/09/15,gardening,\ne33954,2020/09/25,yoga,\ne33955,2020/09/27,gardening,\ne33958,2020/09/30,learning a language,\ne33959,2020/10/05,working out,\ne33962,2020/10/11,working out,\ne33965,2020/10/15,working out,\ne33966,2020/10/17,learning a language,Nevaeh\ne33969,2020/10/23,yoga,\"Piper, Avery, Nora\"\ne33974,2020/11/05,learning a language,\"Emily, Carter, Kayden\"\ne33975,2020/11/07,yoga,\ne33979,2020/11/14,gardening,\ne33983,2020/11/20,working out,\ne33984,2020/11/21,gardening,\ne33989,2020/11/25,working out,\ne33994,2020/12/04,working out,\ne34000,2020/12/18,yoga,\ne34003,2020/12/25,meditation,\ne37208,2021/01/09,learning a language,\ne37210,2021/01/18,learning a language,\ne37212,2021/01/22,yoga,Emily\ne37213,2021/01/25,gardening,\ne37217,2021/02/04,learning a language,\ne37227,2021/02/27,working out,\ne37231,2021/03/11,gardening,Nevaeh\ne37235,2021/03/14,gardening,\ne37236,2021/03/17,yoga,Andrew\ne37240,2021/03/20,meditation,\ne37241,2021/03/25,yoga,\"Avery, Willow\"\ne37246,2021/03/28,yoga,\ne37256,2021/04/18,meditation,\ne37257,2021/04/20,meditation,Andrew\ne37261,2021/04/27,yoga,Avery\ne37265,2021/05/06,learning a language,\ne37268,2021/05/07,learning a language,\ne37276,2021/05/23,working out,\"Kayden, Andrew\"\ne37281,2021/05/30,learning a language,Olivia\ne37282,2021/06/02,meditation,\ne37287,2021/06/06,meditation,\ne37290,2021/06/12,yoga,\ne37298,2021/07/02,learning a language,\ne37302,2021/07/10,working out,Avery\ne37303,2021/07/13,working out,\ne37306,2021/07/17,working out,\"Piper, Kinsley\"\ne37310,2021/07/24,meditation,\ne37326,2021/08/27,working out,\ne37331,2021/09/04,learning a language,\ne37332,2021/09/06,yoga,\ne37335,2021/09/10,yoga,\ne37339,2021/09/19,meditation,\ne37343,2021/09/25,learning a language,Benjamin\ne37345,2021/10/04,working out,\ne37350,2021/10/11,yoga,\ne37353,2021/10/15,gardening,\"Nevaeh, Layla, Hazel\"\ne37358,2021/10/24,meditation,Benjamin\ne37363,2021/11/02,yoga,\"Willow, Benjamin, Jackson\"\ne37367,2021/11/05,working out,\"Rylee, Eva, Claire\"\ne37370,2021/11/17,meditation,\ne37375,2021/11/25,yoga,\ne37381,2021/12/05,working out,\ne37385,2021/12/14,learning a language,\ne37389,2021/12/22,working out,\ne37391,2021/12/25,yoga,\"Avery, Jackson\"\ne37392,2021/12/29,yoga,\ne40571,2022/01/04,working out,\ne40578,2022/01/16,gardening,Nora\ne40579,2022/01/21,yoga,Kayden\ne40584,2022/01/26,gardening,\ne40589,2022/01/29,working out,\ne40590,2022/02/04,yoga,\ne40594,2022/02/11,meditation,\ne40606,2022/02/27,yoga,\"Andrew, Carter\"\ne40617,2022/03/26,learning a language,Kayden\ne40618,2022/03/31,working out,Andrew\ne40622,2022/04/02,learning a language,\ne40629,2022/04/18,meditation,\ne40630,2022/04/20,yoga,\"Avery, Layla\"\ne40633,2022/04/23,working out,\ne40634,2022/04/29,learning a language,\"Jackson, Willow, Avery\"\ne40646,2022/05/19,working out,\"Emily, Andrew, Carter\"\ne40650,2022/06/01,learning a language,\ne40654,2022/06/09,gardening,\ne40662,2022/06/23,learning a language,\ne40667,2022/06/30,yoga,\ne40670,2022/07/02,learning a language,\ne40671,2022/07/05,learning a language,Rylee\ne40674,2022/07/11,working out,\"Emily, Kayden, Carter\"\ne40681,2022/07/23,gardening,\ne40682,2022/07/26,yoga,\ne40686,2022/08/01,meditation,\"Kinsley, Rylee, Eva\"\ne40687,2022/08/05,meditation,\"Avery, Benjamin, Willow\"\ne40695,2022/08/17,yoga,\"Jackson, Avery\"\ne40697,2022/08/22,meditation,Avery\ne40698,2022/08/24,working out,\ne40702,2022/08/30,working out,\ne40708,2022/09/03,learning a language,\ne40729,2022/10/16,gardening,\"Emily, Kayden, Carter\"\ne40730,2022/10/21,gardening,\ne40734,2022/10/28,yoga,\"Willow, Jackson\"\ne40738,2022/11/04,working out,\"Willow, Avery, Jackson\"\ne40746,2022/11/20,gardening,\ne40747,2022/11/23,working out,\ne40751,2022/11/29,meditation,\"Emily, Andrew\"\ne40757,2022/12/08,gardening,\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/annual_medical_care-log.csv",
    "content": "eid,date,for_whom,type_of_care\ne18129,2022/03/11,child_medical_care,annual physical checkup\ne18128,2022/11/27,child_medical_care,annual dental cleaning and checkup\ne18127,2022/10/01,child_medical_care,annual physical checkup\ne18126,2022/08/28,parent_medical_care,annual vision checkup\ne18125,2022/02/18,parent_medical_care,annual dental cleaning and checkup\ne18124,2022/07/26,parent_medical_care,annual physical checkup\ne18123,2022/09/01,personal_medical_care,annual vision checkup\ne18122,2022/05/20,personal_medical_care,annual dental cleaning and checkup\ne16611,2021/02/25,child_medical_care,annual physical checkup\ne16610,2021/04/28,child_medical_care,annual dental cleaning and checkup\ne16609,2021/06/04,parent_medical_care,annual dental cleaning and checkup\ne16608,2021/05/21,personal_medical_care,annual vision checkup\ne16607,2021/12/25,personal_medical_care,annual dental cleaning and checkup\ne15129,2020/06/27,child_medical_care,annual vision checkup\ne15128,2020/03/03,child_medical_care,annual dental cleaning and checkup\ne15127,2020/08/05,child_medical_care,annual physical checkup\ne15126,2020/05/15,parent_medical_care,annual dental cleaning and checkup\ne15125,2020/04/18,parent_medical_care,annual physical checkup\ne15124,2020/09/28,personal_medical_care,annual dental cleaning and checkup\ne15123,2020/07/06,personal_medical_care,annual physical checkup\ne13644,2019/12/02,child_medical_care,annual vision checkup\ne13643,2019/09/07,child_medical_care,annual dental cleaning and checkup\ne13642,2019/04/19,child_medical_care,annual physical checkup\ne13641,2019/07/13,parent_medical_care,annual physical checkup\ne13640,2019/03/23,personal_medical_care,annual dental cleaning and checkup\ne12168,2018/09/22,parent_medical_care,annual dental cleaning and checkup\ne12167,2018/05/22,parent_medical_care,annual physical checkup\ne12166,2018/05/06,personal_medical_care,annual dental cleaning and checkup\ne10658,2017/10/27,parent_medical_care,annual physical checkup\ne10657,2017/11/25,personal_medical_care,annual dental cleaning and checkup\ne9105,2016/11/28,parent_medical_care,annual dental cleaning and checkup\ne9104,2016/04/26,parent_medical_care,annual physical checkup\ne9103,2016/01/14,personal_medical_care,annual dental cleaning and checkup\ne9102,2016/05/06,personal_medical_care,annual physical checkup\ne7597,2015/09/08,parent_medical_care,annual dental cleaning and checkup\ne7596,2015/05/12,parent_medical_care,annual physical checkup\ne7595,2015/03/11,personal_medical_care,annual vision checkup\ne7594,2015/08/04,personal_medical_care,annual physical checkup\ne6057,2014/11/24,parent_medical_care,annual physical checkup\ne6056,2014/12/06,personal_medical_care,annual physical checkup\ne4599,2013/05/17,parent_medical_care,annual dental cleaning and checkup\ne4598,2013/09/19,parent_medical_care,annual physical checkup\ne4597,2013/06/26,personal_medical_care,annual vision checkup\ne4596,2013/12/27,personal_medical_care,annual dental cleaning and checkup\ne4595,2013/11/25,personal_medical_care,annual physical checkup\ne3066,2012/10/16,parent_medical_care,annual dental cleaning and checkup\ne3065,2012/10/24,parent_medical_care,annual physical checkup\ne3064,2012/02/24,personal_medical_care,annual vision checkup\ne3063,2012/01/08,personal_medical_care,annual dental cleaning and checkup\ne3062,2012/08/04,personal_medical_care,annual physical checkup\ne1529,2011/09/10,parent_medical_care,annual dental cleaning and checkup\ne1528,2011/12/14,parent_medical_care,annual physical checkup\ne1527,2011/03/07,personal_medical_care,annual dental cleaning and checkup\ne1526,2011/03/07,personal_medical_care,annual physical checkup\ne15,2010/01/18,parent_medical_care,annual dental cleaning and checkup\ne14,2010/07/16,parent_medical_care,annual physical checkup\ne13,2010/09/28,personal_medical_care,annual dental cleaning and checkup\ne12,2010/08/20,personal_medical_care,annual physical checkup\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/config.ini",
    "content": "[embedding_model]\r\nmodel = text-embedding-ada-002\r\nencoding = cl100k_base\r\nmax_tokens = 8000\r\n\r\n[Views]\r\nmodel_name = gpt-3.5-turbo\r\n\r\n[RAG]\r\nqa_model = gpt-3.5-turbo\r\ntemperature = 0\r\ntopk = 10\r\n\r\n[rag_prompt] \r\nprompt = \"Use the following pieces of context and general knowledge to answer the question at the end. If the question cannot be answered with the context, ignore the context and answer with general knowledge. If you don't know the answer, just say that you don't know, don't try to make up an answer. \\n\\n{context}\\n\\nQuestion: {question} \\nAnswer:\"\r\n\r\n[sql_prompt]\r\nprompt = # Table name: {tablename}\r\n\t# Table schema: {schema}\r\n\t# Table description: {table_desc}\r\n\t#\r\n\t# Example rows:\r\n\t#\r\n\t#\r\n\t{example}\r\n\t#\r\n        # Given the above table, schema, and description, write an aggregate SQLite query as necessary to answer the question below. The format of dates is in YYYY/MM/DD. For a range between two dates d1 and d2, use 'BETWEEN d1 and d2'. {additional_context} Avoid using the attribute eid. If an SQL query cannot be generated, please say \"Sorry, no result.\"\r\n\r\n\t#\r\n\t# {question}\r\n\tSELECT\r\n\r\n[input]\r\nsource_idx = timeline.pkl\r\nviews_db = views_db.sqlite\r\nviews_metadata = views_metadata.txt\r\nviews_metadata_idx = views_idx.csv\r\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/create_db.sql",
    "content": "PRAGMA page_size = 8192;\ncreate table annual_medical_care_log(eid TEXT PRIMARY KEY,date TEXT,for_whom TEXT,type_of_care TEXT);\ncreate table daily_chat_log(eid TEXT PRIMARY KEY,date TEXT,timeofday TEXT,howlong INTEGER,friends TEXT);\ncreate table daily_exercise_log(eid TEXT PRIMARY KEY,date TEXT,exercise TEXT,heart_rate INTEGER);\ncreate table daily_meal_log(eid TEXT PRIMARY KEY,date TEXT,mealtype TEXT,foodtype TEXT,people_string TEXT);\ncreate table daily_read_log(eid TEXT PRIMARY KEY,date TEXT,readtype TEXT,howlong INTEGER);\ncreate table daily_watchtv_log(eid TEXT PRIMARY KEY,date TEXT,watchtype TEXT,howlong INTEGER);\ncreate table marriages_log(eid TEXT PRIMARY KEY,married_date TEXT,partner_name TEXT,location TEXT);\ncreate table monthly_pet_care_log(eid TEXT PRIMARY KEY,date TEXT,pet_care_type TEXT);\ncreate table moves_log(eid TEXT PRIMARY KEY,date TEXT,type_of_move TEXT, destination TEXT);\ncreate table travel_log(eid TEXT PRIMARY KEY,start_date TEXT,end_date TEXT,city TEXT,people TEXT);\ncreate table travel_dining_log(eid TEXT PRIMARY KEY,start_date TEXT,end_date TEXT,city TEXT,dining_date TEXT,food_type TEXT,food_location TEXT,place_visit_date TEXT,place TEXT,people TEXT,action TEXT,emotion TEXT);\ncreate table travel_places_visited_log(eid TEXT PRIMARY KEY,start_date TEXT,end_date TEXT,city TEXT,place_visit_date TEXT,place TEXT, people TEXT,action TEXT,emotion TEXT);\ncreate table weekly_bakeorcook_log(eid TEXT PRIMARY KEY,date TEXT,cuisine TEXT,location TEXT,people TEXT);\ncreate table weekly_dating_log(eid TEXT PRIMARY KEY,date TEXT,people_string TEXT,location TEXT);\ncreate table weekly_grocery_log(eid TEXT PRIMARY KEY,date TEXT,fruits TEXT,drinks TEXT,toiletries TEXT,people_string TEXT);\ncreate table weekly_hobby_log(eid TEXT PRIMARY KEY,date TEXT,hobbies TEXT,people_string TEXT);\n\n.mode csv\n.import annual_medical_care-log.csv annual_medical_care_log --skip 1\n.import daily_meal-log.csv  daily_meal_log --skip 1\n.import marriages-log.csv  marriages_log --skip 1\n.import travel_places_visited-log.csv  travel_places_visited_log --skip 1\n.import weekly_dating-log.csv  weekly_dating_log --skip 1\n.import daily_chat-log.csv  daily_chat_log --skip 1\n.import daily_read-log.csv  daily_read_log --skip 1\n.import monthly_pet_care-log.csv  monthly_pet_care_log --skip 1 \n.import travel-log.csv  travel_log --skip 1\n.import weekly_grocery-log.csv  weekly_grocery_log --skip 1\n.import daily_exercise-log.csv  daily_exercise_log --skip 1\n.import daily_watchtv-log.csv  daily_watchtv_log --skip 1\n.import moves-log.csv   moves_log --skip 1\n.import travel_dining-log.csv   travel_dining_log --skip 1\n.import weekly_bakeorcook-log.csv   weekly_bakeorcook_log --skip 1   \n.import weekly_hobby-log.csv   weekly_hobby_log --skip 1\n\n\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/daily_chat-log.csv",
    "content": "eid,date,timeofday,howlong,friends\ne132,2010/01/02,in the morning,41,Nora\ne135,2010/01/03,late in the evening,30,\"Piper, Lydia\"\ne136,2010/01/03,in the late afternoon,5,\"Nora, Nevaeh, Piper, Olivia\"\ne145,2010/01/05,in the early afternoon,22,\"Rylee, Lydia\"\ne146,2010/01/05,in the early afternoon,29,\"Nora, Nevaeh\"\ne148,2010/01/06,late in the evening,49,\"Claire, Rylee, Nevaeh, Kinsley\"\ne150,2010/01/07,during lunch hours,48,\"Layla, Piper, Eva\"\ne153,2010/01/08,late in the evening,33,\"Avery, Rylee\"\ne154,2010/01/08,during lunch hours,26,Nora\ne157,2010/01/09,in the morning,13,\"Nevaeh, Eva\"\ne168,2010/01/12,in the early afternoon,35,\"Layla, Claire\"\ne172,2010/01/13,in the early evening,42,\"Piper, Piper, Rylee\"\ne179,2010/01/15,during lunch hours,8,\"Piper, Kinsley, Hazel\"\ne180,2010/01/16,in the early afternoon,36,\"Eva, Claire, Lydia\"\ne182,2010/01/17,in the early evening,44,\"Rylee, Olivia\"\ne183,2010/01/17,in the early evening,17,\"Piper, Olivia\"\ne186,2010/01/18,during lunch hours,39,\"Claire, Nevaeh, Nora\"\ne190,2010/01/19,in the morning,26,\"Layla, Piper, Claire, Olivia\"\ne191,2010/01/19,in the late afternoon,20,\"Lydia, Layla\"\ne196,2010/01/20,in the early afternoon,44,Piper\ne203,2010/01/22,in the early afternoon,17,\"Nevaeh, Nora, Piper, Hazel\"\ne211,2010/01/24,in the early afternoon,29,\"Rylee, Nora, Claire\"\ne221,2010/01/28,in the late afternoon,54,Lydia\ne225,2010/01/29,in the early evening,39,\"Piper, Nora\"\ne230,2010/01/30,during lunch hours,7,\"Rylee, Olivia, Claire, Avery\"\ne234,2010/01/31,in the late afternoon,12,\"Nevaeh, Piper, Olivia, Kinsley\"\ne237,2010/02/01,in the early afternoon,42,\"Piper, Nora, Nevaeh\"\ne244,2010/02/03,during lunch hours,25,\"Lydia, Eva\"\ne249,2010/02/04,in the early afternoon,22,\"Nevaeh, Rylee, Claire, Piper\"\ne254,2010/02/05,in the early evening,38,Olivia\ne260,2010/02/06,during lunch hours,23,\"Eva, Avery\"\ne264,2010/02/07,in the early evening,35,\"Avery, Olivia, Hazel, Kinsley\"\ne268,2010/02/08,during lunch hours,17,\"Lydia, Nevaeh, Piper, Kinsley\"\ne272,2010/02/09,in the early afternoon,52,\"Nevaeh, Eva, Nora, Piper\"\ne291,2010/02/15,late in the evening,48,Claire\ne297,2010/02/16,in the early evening,35,Rylee\ne304,2010/02/18,in the early afternoon,11,\"Piper, Hazel\"\ne305,2010/02/18,in the late afternoon,28,\"Piper, Nora, Layla, Avery\"\ne309,2010/02/19,in the morning,37,\"Nora, Kinsley\"\ne311,2010/02/20,in the late afternoon,53,\"Nevaeh, Rylee, Piper, Claire\"\ne318,2010/02/22,in the early afternoon,9,\"Eva, Lydia\"\ne321,2010/02/23,in the late afternoon,8,Nevaeh\ne325,2010/02/24,in the early evening,52,\"Avery, Eva\"\ne326,2010/02/24,during lunch hours,17,\"Piper, Hazel, Claire\"\ne341,2010/02/28,in the morning,47,Lydia\ne345,2010/03/01,in the early afternoon,31,\"Nora, Layla, Avery, Kinsley\"\ne346,2010/03/01,in the late afternoon,33,\"Layla, Avery, Piper, Claire\"\ne357,2010/03/04,late in the evening,43,Eva\ne361,2010/03/05,in the late afternoon,44,\"Piper, Nevaeh, Kinsley, Avery\"\ne366,2010/03/06,in the early evening,6,Hazel\ne370,2010/03/07,late in the evening,55,\"Nevaeh, Claire\"\ne375,2010/03/08,late in the evening,22,\"Piper, Olivia, Nevaeh, Claire\"\ne377,2010/03/09,during lunch hours,47,\"Nevaeh, Lydia\"\ne381,2010/03/10,in the late afternoon,40,\"Claire, Layla, Piper, Hazel\"\ne382,2010/03/10,in the late afternoon,18,\"Nevaeh, Claire, Olivia\"\ne389,2010/03/11,in the late afternoon,13,\"Olivia, Kinsley\"\ne390,2010/03/11,in the morning,44,\"Kinsley, Piper, Avery\"\ne395,2010/03/12,during lunch hours,50,\"Hazel, Avery, Kinsley\"\ne398,2010/03/13,in the early evening,49,Avery\ne402,2010/03/14,in the early afternoon,29,Claire\ne403,2010/03/14,in the early afternoon,54,Eva\ne407,2010/03/15,late in the evening,20,\"Eva, Hazel, Lydia\"\ne410,2010/03/17,during lunch hours,15,\"Piper, Kinsley, Layla, Eva\"\ne411,2010/03/17,during lunch hours,12,\"Avery, Rylee, Lydia, Kinsley\"\ne417,2010/03/19,in the early evening,51,Hazel\ne418,2010/03/19,in the early evening,36,\"Olivia, Kinsley, Claire, Rylee\"\ne427,2010/03/21,in the late afternoon,26,Kinsley\ne428,2010/03/21,during lunch hours,33,\"Kinsley, Layla, Lydia, Hazel\"\ne432,2010/03/22,during lunch hours,7,Layla\ne433,2010/03/22,in the early evening,20,\"Avery, Hazel, Nevaeh, Piper\"\ne437,2010/03/23,in the morning,54,\"Kinsley, Piper\"\ne438,2010/03/23,in the early afternoon,49,Piper\ne443,2010/03/24,in the early evening,36,\"Claire, Nevaeh, Hazel\"\ne444,2010/03/24,in the late afternoon,24,\"Kinsley, Olivia, Piper, Nora\"\ne447,2010/03/25,late in the evening,34,\"Kinsley, Avery, Lydia, Claire\"\ne448,2010/03/25,in the late afternoon,49,Layla\ne452,2010/03/26,in the early evening,20,\"Layla, Rylee, Piper\"\ne453,2010/03/26,in the morning,9,Kinsley\ne459,2010/03/27,in the early afternoon,25,\"Nevaeh, Claire, Eva, Piper\"\ne460,2010/03/27,in the late afternoon,8,\"Avery, Piper, Olivia, Hazel\"\ne464,2010/03/28,in the early evening,8,\"Avery, Hazel, Claire\"\ne468,2010/03/29,during lunch hours,26,\"Kinsley, Lydia\"\ne469,2010/03/29,in the early evening,51,\"Lydia, Piper\"\ne474,2010/03/30,in the late afternoon,14,\"Hazel, Layla, Kinsley\"\ne478,2010/03/31,in the morning,16,\"Olivia, Avery, Rylee, Kinsley\"\ne483,2010/04/01,in the late afternoon,33,\"Piper, Eva, Nora, Claire\"\ne484,2010/04/01,during lunch hours,51,\"Claire, Piper\"\ne486,2010/04/02,in the early evening,13,\"Nora, Lydia, Olivia\"\ne487,2010/04/02,in the early evening,49,\"Piper, Layla, Nevaeh\"\ne494,2010/04/04,late in the evening,18,Kinsley\ne499,2010/04/05,in the early evening,25,\"Olivia, Layla, Hazel\"\ne501,2010/04/06,late in the evening,13,\"Piper, Avery, Olivia\"\ne505,2010/04/07,during lunch hours,16,\"Piper, Avery, Lydia, Nora\"\ne509,2010/04/08,during lunch hours,26,\"Eva, Lydia, Nevaeh, Kinsley\"\ne513,2010/04/09,in the early afternoon,14,\"Lydia, Kinsley, Layla, Hazel\"\ne516,2010/04/10,in the late afternoon,32,\"Nevaeh, Piper, Layla\"\ne521,2010/04/11,in the early evening,50,\"Piper, Piper\"\ne526,2010/04/12,in the morning,27,\"Eva, Hazel, Kinsley\"\ne534,2010/04/14,during lunch hours,37,Piper\ne538,2010/04/15,in the morning,21,Layla\ne542,2010/04/16,late in the evening,10,\"Nevaeh, Olivia, Lydia, Hazel\"\ne543,2010/04/16,during lunch hours,17,\"Eva, Layla\"\ne553,2010/04/18,in the morning,15,\"Olivia, Kinsley\"\ne554,2010/04/18,late in the evening,38,\"Layla, Kinsley, Rylee, Piper\"\ne558,2010/04/19,in the early afternoon,15,\"Avery, Lydia, Piper\"\ne559,2010/04/19,in the late afternoon,55,\"Lydia, Piper, Hazel, Olivia\"\ne561,2010/04/20,in the early evening,5,Rylee\ne565,2010/04/21,late in the evening,10,Nora\ne566,2010/04/21,in the early evening,41,\"Rylee, Eva, Hazel\"\ne569,2010/04/22,in the late afternoon,19,\"Nora, Piper\"\ne572,2010/04/23,in the morning,9,\"Piper, Nevaeh, Avery, Layla\"\ne573,2010/04/23,in the early evening,33,\"Lydia, Claire, Layla\"\ne576,2010/04/24,late in the evening,40,Nevaeh\ne579,2010/04/25,in the early evening,29,Nevaeh\ne587,2010/04/27,during lunch hours,16,\"Nora, Claire, Layla, Olivia\"\ne588,2010/04/27,in the late afternoon,54,Layla\ne598,2010/04/30,during lunch hours,29,\"Eva, Avery, Lydia, Piper\"\ne601,2010/05/01,in the late afternoon,42,\"Lydia, Eva\"\ne604,2010/05/02,during lunch hours,17,\"Eva, Nevaeh\"\ne611,2010/05/04,late in the evening,40,\"Avery, Olivia, Layla\"\ne612,2010/05/04,during lunch hours,17,Hazel\ne620,2010/05/07,in the morning,21,\"Piper, Claire, Lydia, Rylee\"\ne625,2010/05/09,in the late afternoon,11,\"Rylee, Kinsley, Eva\"\ne637,2010/05/12,during lunch hours,20,\"Eva, Piper\"\ne642,2010/05/13,in the early evening,32,\"Claire, Layla, Eva\"\ne646,2010/05/14,in the early afternoon,16,\"Olivia, Piper\"\ne649,2010/05/15,during lunch hours,28,\"Piper, Layla\"\ne653,2010/05/16,in the early afternoon,19,\"Rylee, Lydia\"\ne654,2010/05/16,in the early afternoon,46,\"Piper, Nevaeh\"\ne660,2010/05/18,in the early afternoon,12,\"Avery, Lydia, Nevaeh, Nora\"\ne662,2010/05/19,in the early afternoon,37,\"Layla, Piper\"\ne664,2010/05/20,in the early afternoon,29,\"Nora, Kinsley, Rylee, Olivia\"\ne672,2010/05/22,in the late afternoon,24,\"Claire, Piper, Nevaeh, Olivia\"\ne678,2010/05/23,during lunch hours,35,\"Claire, Piper, Lydia\"\ne687,2010/05/25,in the morning,18,\"Piper, Olivia\"\ne709,2010/06/02,in the early afternoon,10,\"Kinsley, Nora, Piper\"\ne716,2010/06/04,in the early afternoon,12,\"Layla, Nora, Piper\"\ne727,2010/06/07,during lunch hours,52,Kinsley\ne730,2010/06/08,in the late afternoon,28,Avery\ne731,2010/06/08,in the early afternoon,14,\"Piper, Nevaeh\"\ne737,2010/06/09,in the morning,29,\"Layla, Nevaeh\"\ne738,2010/06/09,late in the evening,5,\"Nevaeh, Piper, Lydia, Olivia\"\ne741,2010/06/10,during lunch hours,8,Eva\ne743,2010/06/11,in the morning,7,\"Claire, Olivia, Kinsley\"\ne744,2010/06/11,late in the evening,46,\"Kinsley, Nevaeh, Olivia, Piper\"\ne751,2010/06/13,in the morning,19,\"Piper, Nevaeh\"\ne752,2010/06/13,during lunch hours,21,\"Nevaeh, Claire\"\ne766,2010/06/17,during lunch hours,31,\"Eva, Nevaeh, Avery, Piper\"\ne769,2010/06/18,in the late afternoon,14,\"Piper, Eva, Rylee\"\ne775,2010/06/19,during lunch hours,13,Rylee\ne782,2010/06/21,in the morning,13,Hazel\ne788,2010/06/22,in the morning,55,Avery\ne792,2010/06/23,in the morning,29,\"Eva, Layla, Piper, Avery\"\ne796,2010/06/25,in the early evening,39,\"Nevaeh, Piper, Eva, Avery\"\ne802,2010/06/26,in the early evening,14,\"Olivia, Lydia, Piper\"\ne806,2010/06/27,in the early afternoon,12,\"Lydia, Piper, Nevaeh\"\ne809,2010/06/28,in the morning,49,Nevaeh\ne812,2010/06/29,late in the evening,16,\"Piper, Piper, Layla, Kinsley\"\ne816,2010/06/30,in the early evening,53,\"Piper, Kinsley, Piper, Hazel\"\ne818,2010/07/01,in the morning,43,\"Layla, Kinsley\"\ne820,2010/07/02,in the morning,22,\"Nora, Layla, Kinsley, Olivia\"\ne823,2010/07/03,in the morning,54,\"Olivia, Avery, Nevaeh, Piper\"\ne828,2010/07/05,late in the evening,11,Piper\ne834,2010/07/06,in the early evening,16,\"Layla, Avery, Piper\"\ne835,2010/07/07,in the early evening,42,\"Hazel, Rylee, Claire\"\ne847,2010/07/10,in the morning,12,\"Nevaeh, Claire, Rylee, Hazel\"\ne859,2010/07/14,in the morning,22,\"Avery, Lydia, Piper\"\ne860,2010/07/14,in the early afternoon,22,\"Eva, Kinsley, Nora\"\ne871,2010/07/16,in the late afternoon,19,\"Olivia, Avery, Piper\"\ne872,2010/07/16,in the late afternoon,55,\"Rylee, Layla, Olivia\"\ne875,2010/07/17,in the early afternoon,15,Hazel\ne882,2010/07/19,during lunch hours,27,\"Nevaeh, Piper, Nora\"\ne883,2010/07/19,in the morning,44,\"Nevaeh, Hazel, Kinsley, Eva\"\ne886,2010/07/20,in the early afternoon,10,\"Nevaeh, Nora, Eva, Hazel\"\ne887,2010/07/20,during lunch hours,18,Avery\ne896,2010/07/24,in the morning,5,\"Claire, Piper\"\ne904,2010/07/26,in the late afternoon,20,\"Nevaeh, Claire, Lydia, Rylee\"\ne905,2010/07/26,late in the evening,9,\"Avery, Nora, Nevaeh, Piper\"\ne909,2010/07/27,in the early evening,47,\"Olivia, Kinsley, Piper, Eva\"\ne913,2010/07/28,during lunch hours,30,Kinsley\ne919,2010/07/29,in the morning,51,\"Piper, Avery, Piper, Nora\"\ne924,2010/07/30,late in the evening,7,Nevaeh\ne928,2010/07/31,during lunch hours,8,\"Kinsley, Piper\"\ne937,2010/08/02,in the early afternoon,29,Piper\ne942,2010/08/03,late in the evening,52,Eva\ne947,2010/08/04,in the late afternoon,23,\"Nora, Eva, Rylee\"\ne953,2010/08/05,late in the evening,36,\"Olivia, Kinsley, Avery\"\ne955,2010/08/06,in the early afternoon,28,\"Avery, Layla, Eva\"\ne960,2010/08/07,during lunch hours,50,\"Hazel, Kinsley, Piper, Avery\"\ne965,2010/08/08,during lunch hours,23,\"Lydia, Kinsley, Piper, Rylee\"\ne966,2010/08/08,in the late afternoon,40,\"Piper, Rylee, Piper, Lydia\"\ne970,2010/08/09,in the late afternoon,42,\"Rylee, Lydia, Claire\"\ne974,2010/08/10,in the early afternoon,31,\"Piper, Olivia\"\ne979,2010/08/12,during lunch hours,21,\"Eva, Piper, Olivia\"\ne980,2010/08/12,in the late afternoon,26,\"Nora, Claire\"\ne988,2010/08/16,in the early evening,38,\"Avery, Claire\"\ne992,2010/08/17,in the morning,32,\"Olivia, Piper, Rylee\"\ne995,2010/08/18,in the morning,44,Layla\ne1001,2010/08/20,during lunch hours,23,\"Eva, Claire\"\ne1006,2010/08/21,in the early evening,20,Piper\ne1010,2010/08/22,in the morning,29,Nora\ne1016,2010/08/24,in the late afternoon,21,\"Kinsley, Olivia, Layla, Claire\"\ne1017,2010/08/24,in the early afternoon,32,\"Eva, Hazel, Nora, Nevaeh\"\ne1020,2010/08/25,during lunch hours,17,\"Kinsley, Hazel, Layla\"\ne1030,2010/08/28,in the early evening,30,Piper\ne1036,2010/08/30,in the late afternoon,33,\"Nevaeh, Lydia, Olivia\"\ne1037,2010/08/31,late in the evening,41,Olivia\ne1038,2010/08/31,late in the evening,36,Nora\ne1049,2010/09/03,during lunch hours,36,\"Avery, Hazel\"\ne1054,2010/09/04,in the morning,6,\"Layla, Olivia, Hazel, Eva\"\ne1055,2010/09/04,during lunch hours,15,\"Nora, Avery, Kinsley\"\ne1059,2010/09/05,in the early evening,44,\"Layla, Piper, Nevaeh, Kinsley\"\ne1060,2010/09/05,in the early evening,14,\"Eva, Nevaeh, Piper, Claire\"\ne1063,2010/09/06,in the early evening,44,Rylee\ne1064,2010/09/06,in the morning,50,Lydia\ne1068,2010/09/07,in the early evening,12,Hazel\ne1079,2010/09/10,late in the evening,21,Eva\ne1080,2010/09/10,in the early afternoon,21,\"Avery, Layla\"\ne1086,2010/09/11,in the early afternoon,7,\"Piper, Eva\"\ne1090,2010/09/12,in the morning,24,\"Piper, Layla, Claire\"\ne1091,2010/09/12,during lunch hours,34,\"Avery, Lydia, Kinsley, Nora\"\ne1097,2010/09/14,in the late afternoon,34,Nevaeh\ne1098,2010/09/14,late in the evening,6,\"Nora, Olivia, Piper, Eva\"\ne1102,2010/09/15,in the early evening,45,Nora\ne1107,2010/09/16,during lunch hours,37,\"Claire, Nora, Olivia\"\ne1108,2010/09/16,in the late afternoon,48,\"Kinsley, Piper, Olivia, Eva\"\ne1113,2010/09/17,in the morning,37,Eva\ne1115,2010/09/18,late in the evening,19,\"Olivia, Avery, Rylee, Nevaeh\"\ne1116,2010/09/18,in the late afternoon,19,\"Nevaeh, Kinsley, Rylee, Piper\"\ne1120,2010/09/19,in the early evening,48,\"Piper, Claire, Nora, Layla\"\ne1121,2010/09/19,late in the evening,27,\"Piper, Nevaeh, Eva, Claire\"\ne1127,2010/09/21,during lunch hours,48,\"Piper, Claire, Lydia, Layla\"\ne1132,2010/09/22,in the early afternoon,51,\"Layla, Rylee, Piper\"\ne1138,2010/09/24,in the early evening,27,\"Piper, Rylee\"\ne1139,2010/09/24,during lunch hours,23,\"Piper, Rylee, Olivia\"\ne1142,2010/09/25,during lunch hours,28,\"Lydia, Rylee, Piper, Kinsley\"\ne1147,2010/09/26,late in the evening,20,\"Lydia, Piper, Hazel, Eva\"\ne1162,2010/09/30,in the early evening,38,\"Nora, Kinsley, Nevaeh\"\ne1169,2010/10/02,late in the evening,5,\"Rylee, Kinsley\"\ne1173,2010/10/03,in the early evening,16,\"Nora, Lydia\"\ne1174,2010/10/03,in the morning,47,\"Layla, Hazel, Olivia\"\ne1182,2010/10/06,in the morning,35,Hazel\ne1187,2010/10/07,late in the evening,20,\"Nora, Kinsley, Hazel, Avery\"\ne1193,2010/10/09,in the early afternoon,45,\"Rylee, Nora\"\ne1194,2010/10/09,during lunch hours,11,\"Eva, Avery\"\ne1196,2010/10/10,during lunch hours,39,\"Nevaeh, Olivia\"\ne1200,2010/10/12,in the morning,37,\"Kinsley, Nevaeh\"\ne1206,2010/10/14,in the late afternoon,15,\"Claire, Nora, Kinsley, Rylee\"\ne1210,2010/10/15,in the early evening,15,Nevaeh\ne1211,2010/10/15,in the late afternoon,13,\"Claire, Nora\"\ne1216,2010/10/16,during lunch hours,43,Layla\ne1219,2010/10/17,in the early evening,16,\"Olivia, Claire\"\ne1228,2010/10/20,in the late afternoon,9,\"Avery, Claire\"\ne1237,2010/10/22,in the early afternoon,48,\"Olivia, Piper, Eva\"\ne1238,2010/10/22,in the late afternoon,42,\"Eva, Rylee, Nevaeh\"\ne1242,2010/10/23,in the morning,20,\"Eva, Kinsley, Piper, Piper\"\ne1243,2010/10/23,in the late afternoon,44,\"Hazel, Piper, Layla, Eva\"\ne1246,2010/10/24,in the late afternoon,9,Piper\ne1250,2010/10/25,in the early afternoon,37,Nora\ne1254,2010/10/27,late in the evening,37,\"Eva, Kinsley\"\ne1255,2010/10/27,late in the evening,46,\"Kinsley, Claire\"\ne1258,2010/10/28,during lunch hours,48,\"Kinsley, Nora, Hazel\"\ne1266,2010/10/30,in the morning,33,\"Piper, Hazel, Lydia, Avery\"\ne1274,2010/11/01,in the early afternoon,47,Kinsley\ne1275,2010/11/01,late in the evening,47,\"Piper, Lydia, Layla\"\ne1279,2010/11/02,in the morning,24,\"Lydia, Piper, Hazel, Kinsley\"\ne1283,2010/11/03,in the early evening,47,\"Olivia, Nevaeh\"\ne1290,2010/11/04,in the morning,48,\"Eva, Piper, Olivia\"\ne1293,2010/11/05,late in the evening,38,\"Piper, Olivia, Hazel, Avery\"\ne1298,2010/11/06,in the morning,10,\"Claire, Hazel\"\ne1299,2010/11/06,in the late afternoon,37,\"Rylee, Hazel, Kinsley, Layla\"\ne1304,2010/11/07,in the morning,45,\"Hazel, Layla, Nevaeh\"\ne1305,2010/11/08,during lunch hours,48,\"Hazel, Lydia, Rylee, Avery\"\ne1306,2010/11/08,in the morning,55,\"Hazel, Kinsley, Lydia\"\ne1309,2010/11/09,in the early afternoon,54,\"Nevaeh, Kinsley, Rylee, Nora\"\ne1310,2010/11/09,late in the evening,52,\"Rylee, Kinsley, Lydia\"\ne1331,2010/11/16,during lunch hours,20,\"Piper, Nevaeh, Eva\"\ne1341,2010/11/19,in the late afternoon,20,\"Avery, Kinsley, Lydia\"\ne1342,2010/11/19,in the early afternoon,40,\"Layla, Piper\"\ne1346,2010/11/20,late in the evening,46,\"Kinsley, Lydia\"\ne1352,2010/11/21,in the early afternoon,31,\"Claire, Hazel, Rylee\"\ne1358,2010/11/22,in the early afternoon,34,\"Piper, Kinsley, Olivia\"\ne1362,2010/11/23,in the morning,17,\"Nevaeh, Avery, Claire, Kinsley\"\ne1371,2010/11/26,during lunch hours,40,Claire\ne1372,2010/11/26,in the early afternoon,19,Piper\ne1385,2010/11/29,late in the evening,33,Nevaeh\ne1390,2010/11/30,late in the evening,15,\"Olivia, Hazel\"\ne1393,2010/12/01,in the late afternoon,19,\"Nora, Layla\"\ne1396,2010/12/02,late in the evening,52,Lydia\ne1398,2010/12/03,during lunch hours,15,Claire\ne1399,2010/12/03,in the early evening,32,\"Piper, Piper, Lydia\"\ne1401,2010/12/04,late in the evening,33,\"Nora, Hazel\"\ne1405,2010/12/05,in the morning,5,\"Kinsley, Lydia, Nora\"\ne1410,2010/12/06,during lunch hours,47,\"Piper, Eva, Lydia\"\ne1416,2010/12/07,in the early evening,48,Piper\ne1426,2010/12/10,in the early evening,5,\"Kinsley, Layla\"\ne1438,2010/12/13,in the morning,30,\"Piper, Nevaeh, Avery\"\ne1448,2010/12/15,during lunch hours,33,\"Claire, Layla\"\ne1449,2010/12/15,during lunch hours,47,\"Layla, Lydia\"\ne1456,2010/12/17,in the late afternoon,40,Lydia\ne1461,2010/12/18,in the morning,49,\"Claire, Eva, Lydia, Olivia\"\ne1464,2010/12/19,in the morning,21,\"Hazel, Claire, Nevaeh, Rylee\"\ne1465,2010/12/19,during lunch hours,23,\"Olivia, Eva\"\ne1471,2010/12/20,in the late afternoon,13,\"Avery, Layla, Nora, Claire\"\ne1476,2010/12/21,in the early evening,21,Rylee\ne1477,2010/12/21,in the early afternoon,47,\"Claire, Rylee, Piper, Layla\"\ne1480,2010/12/22,late in the evening,5,\"Lydia, Olivia, Nora\"\ne1481,2010/12/22,during lunch hours,54,\"Claire, Nevaeh, Hazel, Lydia\"\ne1485,2010/12/23,late in the evening,37,\"Claire, Kinsley, Olivia\"\ne1488,2010/12/24,during lunch hours,7,Rylee\ne1492,2010/12/25,in the early afternoon,27,\"Nevaeh, Kinsley\"\ne1505,2010/12/29,in the morning,45,\"Avery, Hazel\"\ne1651,2011/01/01,in the early evening,27,Kinsley\ne1654,2011/01/02,during lunch hours,20,\"Claire, Avery, Piper, Olivia\"\ne1657,2011/01/03,late in the evening,46,\"Claire, Piper, Piper\"\ne1661,2011/01/04,in the early evening,6,Olivia\ne1662,2011/01/04,late in the evening,40,\"Hazel, Eva, Rylee\"\ne1666,2011/01/05,in the late afternoon,35,Rylee\ne1671,2011/01/06,in the morning,7,\"Nora, Piper, Claire, Nevaeh\"\ne1677,2011/01/07,during lunch hours,15,\"Lydia, Olivia\"\ne1686,2011/01/09,in the early afternoon,42,\"Piper, Avery\"\ne1687,2011/01/09,during lunch hours,22,Hazel\ne1690,2011/01/10,late in the evening,55,\"Nora, Hazel\"\ne1694,2011/01/11,in the late afternoon,32,\"Eva, Avery, Lydia, Hazel\"\ne1699,2011/01/13,during lunch hours,42,\"Claire, Eva\"\ne1700,2011/01/13,in the late afternoon,23,\"Rylee, Eva, Piper, Kinsley\"\ne1704,2011/01/14,in the early evening,30,\"Eva, Lydia\"\ne1706,2011/01/15,in the late afternoon,34,\"Hazel, Nora, Kinsley, Rylee\"\ne1709,2011/01/16,in the morning,33,\"Olivia, Hazel, Piper, Eva\"\ne1710,2011/01/16,in the late afternoon,19,\"Nevaeh, Eva\"\ne1716,2011/01/17,in the late afternoon,12,\"Nevaeh, Eva, Avery\"\ne1717,2011/01/17,in the morning,29,\"Piper, Nora\"\ne1719,2011/01/18,during lunch hours,18,\"Nevaeh, Piper, Eva, Claire\"\ne1726,2011/01/21,during lunch hours,45,\"Piper, Eva, Kinsley, Avery\"\ne1728,2011/01/22,during lunch hours,16,\"Hazel, Avery\"\ne1732,2011/01/23,in the late afternoon,37,\"Nevaeh, Piper, Layla, Rylee\"\ne1736,2011/01/24,in the early afternoon,41,\"Layla, Avery, Nevaeh\"\ne1739,2011/01/25,in the morning,8,\"Rylee, Nora, Hazel\"\ne1740,2011/01/25,during lunch hours,42,\"Kinsley, Layla, Claire\"\ne1745,2011/01/26,in the early afternoon,26,\"Nora, Olivia, Piper, Avery\"\ne1753,2011/01/28,in the late afternoon,27,\"Nevaeh, Piper, Avery\"\ne1754,2011/01/28,late in the evening,15,Hazel\ne1760,2011/01/29,in the late afternoon,13,\"Nevaeh, Layla, Kinsley\"\ne1762,2011/01/30,during lunch hours,50,Avery\ne1766,2011/01/31,during lunch hours,29,Piper\ne1767,2011/01/31,in the early evening,52,\"Hazel, Olivia\"\ne1771,2011/02/01,during lunch hours,38,Avery\ne1776,2011/02/02,in the late afternoon,29,\"Claire, Nora, Nevaeh, Hazel\"\ne1782,2011/02/04,late in the evening,6,\"Nora, Piper, Rylee\"\ne1785,2011/02/05,during lunch hours,39,\"Nora, Lydia, Eva, Kinsley\"\ne1793,2011/02/07,in the morning,30,\"Eva, Claire, Avery, Piper\"\ne1796,2011/02/08,in the early afternoon,23,\"Piper, Lydia\"\ne1799,2011/02/09,in the late afternoon,38,\"Claire, Piper, Avery, Kinsley\"\ne1800,2011/02/09,late in the evening,29,\"Olivia, Avery, Nevaeh, Rylee\"\ne1804,2011/02/10,in the morning,47,\"Piper, Lydia\"\ne1805,2011/02/10,in the early evening,32,\"Piper, Claire\"\ne1813,2011/02/12,in the early evening,5,\"Rylee, Hazel\"\ne1817,2011/02/13,late in the evening,54,\"Olivia, Nora, Claire\"\ne1820,2011/02/14,in the early afternoon,38,\"Hazel, Lydia\"\ne1825,2011/02/15,during lunch hours,25,\"Layla, Rylee\"\ne1832,2011/02/18,in the early afternoon,45,Hazel\ne1836,2011/02/19,in the early evening,13,\"Piper, Hazel, Nora\"\ne1838,2011/02/20,in the early evening,5,Lydia\ne1842,2011/02/21,in the late afternoon,55,Nevaeh\ne1852,2011/02/26,in the early evening,37,\"Rylee, Nevaeh, Nora, Hazel\"\ne1853,2011/02/26,in the early afternoon,7,\"Eva, Lydia\"\ne1857,2011/02/27,in the early afternoon,42,\"Nevaeh, Avery\"\ne1861,2011/02/28,during lunch hours,55,\"Rylee, Lydia, Hazel\"\ne1864,2011/03/01,in the early afternoon,6,\"Piper, Kinsley\"\ne1869,2011/03/02,in the early evening,34,\"Hazel, Nora\"\ne1872,2011/03/03,during lunch hours,10,\"Kinsley, Hazel\"\ne1882,2011/03/05,in the early evening,48,\"Piper, Nevaeh, Rylee, Hazel\"\ne1886,2011/03/06,in the morning,10,\"Hazel, Olivia\"\ne1893,2011/03/08,during lunch hours,35,\"Lydia, Rylee, Piper, Avery\"\ne1897,2011/03/09,in the early afternoon,29,\"Layla, Nevaeh\"\ne1901,2011/03/10,during lunch hours,33,\"Rylee, Eva, Kinsley\"\ne1902,2011/03/10,in the early evening,35,\"Avery, Hazel, Kinsley, Nora\"\ne1909,2011/03/12,late in the evening,37,\"Claire, Piper, Kinsley, Olivia\"\ne1910,2011/03/12,late in the evening,30,\"Kinsley, Nora, Nevaeh\"\ne1916,2011/03/13,in the late afternoon,47,\"Layla, Rylee\"\ne1921,2011/03/14,in the early afternoon,39,Piper\ne1926,2011/03/15,in the early afternoon,41,\"Lydia, Rylee, Avery\"\ne1934,2011/03/17,during lunch hours,13,\"Eva, Nevaeh\"\ne1935,2011/03/17,in the early afternoon,16,\"Eva, Nevaeh, Piper, Layla\"\ne1945,2011/03/19,late in the evening,19,Nevaeh\ne1946,2011/03/19,in the late afternoon,42,\"Lydia, Claire, Nevaeh\"\ne1951,2011/03/20,in the early evening,16,\"Nora, Rylee, Layla, Claire\"\ne1960,2011/03/22,in the late afternoon,47,\"Layla, Nevaeh, Hazel, Claire\"\ne1968,2011/03/24,late in the evening,20,Rylee\ne1972,2011/03/25,in the early afternoon,48,\"Claire, Lydia, Olivia, Layla\"\ne1973,2011/03/25,in the early evening,17,Nora\ne1978,2011/03/26,in the morning,11,Piper\ne1981,2011/03/27,in the early afternoon,19,\"Nevaeh, Layla, Eva, Avery\"\ne1982,2011/03/27,in the morning,14,\"Hazel, Piper, Kinsley, Avery\"\ne1985,2011/03/28,in the morning,26,\"Piper, Lydia, Olivia, Hazel\"\ne1986,2011/03/28,during lunch hours,41,Olivia\ne1989,2011/03/29,in the early afternoon,32,\"Rylee, Nora, Hazel\"\ne1994,2011/03/30,in the morning,27,\"Kinsley, Layla, Piper, Olivia\"\ne2008,2011/04/03,in the early evening,43,\"Kinsley, Piper\"\ne2012,2011/04/04,late in the evening,26,\"Piper, Lydia\"\ne2013,2011/04/04,during lunch hours,18,\"Piper, Rylee\"\ne2017,2011/04/05,during lunch hours,28,\"Olivia, Piper, Nevaeh\"\ne2025,2011/04/09,in the early afternoon,47,Rylee\ne2035,2011/04/13,in the morning,22,\"Eva, Piper\"\ne2036,2011/04/13,in the morning,35,\"Layla, Avery\"\ne2044,2011/04/15,late in the evening,6,\"Rylee, Kinsley, Claire\"\ne2050,2011/04/16,in the early afternoon,7,\"Olivia, Lydia\"\ne2057,2011/04/19,late in the evening,5,\"Hazel, Nora, Avery\"\ne2058,2011/04/19,in the early afternoon,36,\"Lydia, Nevaeh, Rylee, Hazel\"\ne2068,2011/04/21,during lunch hours,21,\"Lydia, Eva\"\ne2071,2011/04/22,in the morning,16,Rylee\ne2072,2011/04/22,in the late afternoon,9,\"Nora, Hazel\"\ne2076,2011/04/23,late in the evening,19,\"Layla, Piper, Eva, Nora\"\ne2077,2011/04/23,in the late afternoon,40,\"Hazel, Piper\"\ne2080,2011/04/24,in the early afternoon,13,\"Eva, Kinsley, Layla, Piper\"\ne2090,2011/04/26,in the early evening,21,\"Claire, Lydia, Olivia\"\ne2095,2011/04/27,during lunch hours,34,\"Eva, Hazel, Kinsley, Layla\"\ne2096,2011/04/27,in the late afternoon,38,Piper\ne2110,2011/04/30,in the morning,10,\"Piper, Claire, Piper\"\ne2115,2011/05/01,late in the evening,20,\"Olivia, Piper\"\ne2116,2011/05/01,in the morning,41,\"Nora, Nevaeh, Olivia\"\ne2121,2011/05/02,late in the evening,40,\"Claire, Eva, Piper\"\ne2136,2011/05/05,late in the evening,14,Lydia\ne2139,2011/05/06,in the early evening,18,\"Kinsley, Lydia, Layla, Eva\"\ne2143,2011/05/07,in the early evening,22,Piper\ne2150,2011/05/09,in the late afternoon,11,\"Avery, Nora\"\ne2151,2011/05/09,during lunch hours,53,\"Kinsley, Nevaeh, Hazel, Eva\"\ne2157,2011/05/12,in the early evening,39,\"Avery, Lydia, Nevaeh\"\ne2165,2011/05/14,in the early afternoon,25,\"Layla, Eva, Claire\"\ne2171,2011/05/15,late in the evening,47,\"Claire, Rylee\"\ne2172,2011/05/15,in the early afternoon,17,Olivia\ne2175,2011/05/16,during lunch hours,36,\"Olivia, Nora, Piper, Avery\"\ne2176,2011/05/16,late in the evening,28,\"Piper, Eva, Rylee, Olivia\"\ne2178,2011/05/17,in the morning,54,\"Rylee, Lydia, Kinsley, Claire\"\ne2183,2011/05/19,in the morning,39,Claire\ne2187,2011/05/21,late in the evening,38,\"Nevaeh, Claire, Layla\"\ne2200,2011/05/25,in the early afternoon,11,Hazel\ne2201,2011/05/25,in the early evening,19,\"Rylee, Eva, Nora\"\ne2207,2011/05/26,in the morning,33,\"Claire, Nora, Eva, Rylee\"\ne2211,2011/05/27,in the early evening,8,\"Eva, Avery, Piper\"\ne2217,2011/05/28,in the morning,6,\"Nevaeh, Olivia, Hazel, Piper\"\ne2220,2011/05/29,in the early evening,38,\"Piper, Claire, Piper\"\ne2226,2011/05/31,during lunch hours,49,\"Lydia, Piper\"\ne2230,2011/06/01,in the early evening,25,\"Piper, Nora\"\ne2234,2011/06/02,in the morning,23,\"Kinsley, Eva, Layla, Avery\"\ne2239,2011/06/03,in the early evening,53,\"Piper, Rylee, Nevaeh, Avery\"\ne2240,2011/06/03,in the early evening,20,\"Kinsley, Claire\"\ne2245,2011/06/04,in the early evening,5,\"Nevaeh, Lydia\"\ne2259,2011/06/08,in the early evening,14,\"Olivia, Lydia, Nora\"\ne2269,2011/06/11,in the early evening,34,\"Kinsley, Avery, Nora\"\ne2272,2011/06/12,in the early afternoon,37,\"Piper, Claire, Olivia\"\ne2273,2011/06/12,in the late afternoon,46,Nevaeh\ne2279,2011/06/14,in the early afternoon,16,\"Piper, Kinsley, Lydia\"\ne2280,2011/06/14,late in the evening,38,\"Kinsley, Claire, Nevaeh, Hazel\"\ne2286,2011/06/15,in the morning,15,Piper\ne2289,2011/06/16,during lunch hours,24,\"Hazel, Olivia\"\ne2295,2011/06/17,in the morning,6,\"Rylee, Layla, Eva\"\ne2300,2011/06/18,during lunch hours,52,\"Rylee, Lydia, Hazel, Nevaeh\"\ne2303,2011/06/19,late in the evening,22,Nora\ne2309,2011/06/20,in the early afternoon,10,\"Lydia, Nora, Piper, Rylee\"\ne2311,2011/06/21,in the morning,42,\"Piper, Lydia, Piper, Nora\"\ne2312,2011/06/21,in the morning,44,\"Kinsley, Nora, Eva, Layla\"\ne2318,2011/06/22,in the late afternoon,45,\"Kinsley, Rylee, Eva, Piper\"\ne2321,2011/06/23,during lunch hours,27,\"Lydia, Piper\"\ne2324,2011/06/24,in the morning,26,\"Layla, Claire\"\ne2329,2011/06/26,in the early afternoon,20,\"Nevaeh, Claire, Rylee, Layla\"\ne2337,2011/06/28,in the early evening,37,Layla\ne2346,2011/06/30,in the early afternoon,49,Avery\ne2351,2011/07/01,in the morning,47,\"Piper, Nevaeh, Hazel\"\ne2356,2011/07/02,in the late afternoon,55,\"Claire, Nora, Avery\"\ne2360,2011/07/03,in the morning,19,\"Avery, Rylee, Nora, Lydia\"\ne2367,2011/07/05,in the morning,31,\"Claire, Eva, Piper\"\ne2372,2011/07/06,in the early afternoon,16,\"Claire, Avery, Lydia\"\ne2376,2011/07/08,in the morning,54,\"Nevaeh, Rylee, Piper, Piper\"\ne2380,2011/07/09,in the early afternoon,7,\"Rylee, Hazel\"\ne2388,2011/07/11,in the late afternoon,45,\"Eva, Layla, Claire\"\ne2392,2011/07/12,in the morning,5,\"Piper, Rylee, Piper\"\ne2399,2011/07/14,in the early afternoon,43,\"Claire, Kinsley, Olivia\"\ne2400,2011/07/15,in the early afternoon,23,\"Rylee, Hazel, Eva\"\ne2405,2011/07/16,in the morning,12,\"Piper, Nora\"\ne2412,2011/07/18,in the late afternoon,18,\"Kinsley, Nora, Eva, Layla\"\ne2416,2011/07/19,late in the evening,43,\"Avery, Lydia, Rylee\"\ne2421,2011/07/20,during lunch hours,46,\"Olivia, Avery\"\ne2425,2011/07/21,in the morning,22,\"Rylee, Nevaeh, Piper\"\ne2430,2011/07/22,in the early afternoon,17,\"Piper, Rylee, Nora, Eva\"\ne2440,2011/07/24,during lunch hours,51,\"Lydia, Rylee\"\ne2441,2011/07/24,in the early evening,41,\"Lydia, Nora\"\ne2448,2011/07/25,in the early afternoon,14,\"Kinsley, Lydia, Claire\"\ne2453,2011/07/26,during lunch hours,14,Kinsley\ne2459,2011/07/28,in the early evening,28,\"Eva, Rylee, Nora\"\ne2468,2011/07/30,in the early evening,29,\"Claire, Nevaeh, Lydia, Avery\"\ne2469,2011/07/30,in the morning,9,\"Layla, Avery, Nevaeh\"\ne2473,2011/07/31,in the early evening,13,\"Kinsley, Nevaeh, Claire\"\ne2484,2011/08/03,during lunch hours,43,Avery\ne2491,2011/08/05,in the early evening,35,Avery\ne2492,2011/08/05,in the early afternoon,6,\"Piper, Nevaeh, Rylee\"\ne2496,2011/08/06,in the early evening,31,Nevaeh\ne2500,2011/08/07,in the early afternoon,47,Kinsley\ne2511,2011/08/10,in the early evening,42,\"Eva, Lydia, Layla\"\ne2512,2011/08/10,late in the evening,49,\"Hazel, Piper, Claire, Eva\"\ne2515,2011/08/11,in the morning,30,\"Olivia, Avery\"\ne2516,2011/08/11,in the late afternoon,23,Eva\ne2521,2011/08/12,in the morning,17,\"Claire, Eva, Nevaeh, Piper\"\ne2527,2011/08/14,late in the evening,6,\"Lydia, Kinsley\"\ne2531,2011/08/15,late in the evening,53,Piper\ne2533,2011/08/16,in the early evening,32,Hazel\ne2539,2011/08/18,in the early afternoon,20,\"Nora, Eva, Olivia, Nevaeh\"\ne2540,2011/08/18,in the late afternoon,13,\"Claire, Nora\"\ne2546,2011/08/20,in the early evening,11,Hazel\ne2550,2011/08/21,in the morning,52,\"Lydia, Rylee\"\ne2558,2011/08/23,in the late afternoon,28,\"Claire, Nevaeh\"\ne2560,2011/08/24,late in the evening,45,\"Layla, Piper, Nevaeh, Hazel\"\ne2568,2011/08/26,in the late afternoon,34,\"Claire, Eva\"\ne2569,2011/08/26,late in the evening,50,Kinsley\ne2584,2011/08/30,in the morning,32,\"Piper, Nevaeh, Layla, Kinsley\"\ne2588,2011/08/31,in the early evening,8,\"Kinsley, Rylee, Hazel\"\ne2589,2011/08/31,in the early evening,45,\"Nora, Eva\"\ne2592,2011/09/01,late in the evening,10,\"Lydia, Nevaeh\"\ne2600,2011/09/03,in the early evening,14,\"Piper, Nevaeh, Rylee\"\ne2604,2011/09/04,in the early evening,46,\"Lydia, Hazel, Piper, Avery\"\ne2608,2011/09/05,during lunch hours,25,\"Olivia, Piper, Piper, Nevaeh\"\ne2622,2011/09/09,during lunch hours,6,\"Nora, Nevaeh, Olivia, Hazel\"\ne2634,2011/09/11,in the early afternoon,44,\"Nevaeh, Lydia, Nora, Claire\"\ne2635,2011/09/11,in the late afternoon,13,\"Nora, Claire, Nevaeh\"\ne2638,2011/09/12,in the early afternoon,6,Eva\ne2661,2011/09/18,during lunch hours,47,\"Rylee, Layla\"\ne2666,2011/09/20,in the morning,26,\"Eva, Nora, Piper\"\ne2673,2011/09/22,late in the evening,45,Rylee\ne2677,2011/09/23,in the late afternoon,23,\"Avery, Piper, Piper, Kinsley\"\ne2687,2011/09/25,during lunch hours,50,Piper\ne2693,2011/09/26,in the morning,37,Eva\ne2700,2011/09/28,in the late afternoon,46,\"Lydia, Piper, Rylee\"\ne2707,2011/09/30,in the late afternoon,9,\"Piper, Rylee, Lydia, Kinsley\"\ne2708,2011/10/01,in the early afternoon,36,\"Layla, Olivia\"\ne2714,2011/10/02,in the early evening,53,Layla\ne2717,2011/10/03,in the early evening,48,\"Olivia, Piper, Piper\"\ne2718,2011/10/03,late in the evening,7,\"Claire, Nora, Olivia, Piper\"\ne2722,2011/10/04,in the early afternoon,53,Claire\ne2726,2011/10/05,in the morning,46,\"Nora, Nevaeh, Eva, Kinsley\"\ne2735,2011/10/07,during lunch hours,54,\"Layla, Kinsley, Eva\"\ne2739,2011/10/08,in the late afternoon,43,\"Rylee, Eva, Hazel, Kinsley\"\ne2743,2011/10/09,in the early afternoon,9,\"Layla, Piper, Hazel\"\ne2747,2011/10/10,late in the evening,18,\"Eva, Olivia\"\ne2760,2011/10/14,late in the evening,20,\"Eva, Layla, Lydia, Nevaeh\"\ne2763,2011/10/15,in the morning,39,\"Olivia, Hazel, Avery\"\ne2767,2011/10/16,during lunch hours,22,\"Piper, Layla, Olivia\"\ne2769,2011/10/17,in the early evening,14,\"Lydia, Avery, Piper\"\ne2774,2011/10/18,in the early afternoon,36,\"Nora, Claire, Layla\"\ne2779,2011/10/19,late in the evening,5,\"Rylee, Kinsley\"\ne2783,2011/10/20,during lunch hours,51,Nora\ne2801,2011/10/27,in the early afternoon,9,\"Layla, Olivia, Rylee, Claire\"\ne2805,2011/10/28,in the early afternoon,52,Lydia\ne2810,2011/10/29,in the morning,45,Kinsley\ne2815,2011/10/30,late in the evening,48,\"Piper, Kinsley\"\ne2818,2011/10/31,in the morning,8,\"Nora, Nevaeh, Lydia\"\ne2819,2011/10/31,in the late afternoon,25,\"Hazel, Avery\"\ne2832,2011/11/03,in the early evening,43,Rylee\ne2833,2011/11/03,late in the evening,31,\"Lydia, Avery, Piper\"\ne2838,2011/11/04,in the early afternoon,48,\"Olivia, Lydia\"\ne2845,2011/11/06,in the early evening,55,\"Piper, Rylee, Kinsley, Nevaeh\"\ne2847,2011/11/07,in the early afternoon,26,\"Claire, Piper\"\ne2848,2011/11/07,late in the evening,14,\"Claire, Piper, Lydia, Rylee\"\ne2851,2011/11/08,late in the evening,55,\"Piper, Nora\"\ne2852,2011/11/08,in the early afternoon,12,\"Nora, Nevaeh, Hazel\"\ne2857,2011/11/09,in the late afternoon,53,Lydia\ne2861,2011/11/10,in the morning,7,\"Kinsley, Claire, Nora, Olivia\"\ne2865,2011/11/11,in the morning,38,\"Lydia, Layla, Piper, Olivia\"\ne2869,2011/11/12,in the early evening,33,\"Hazel, Kinsley, Lydia, Layla\"\ne2878,2011/11/14,in the early afternoon,21,\"Olivia, Piper\"\ne2882,2011/11/15,in the morning,29,\"Piper, Rylee\"\ne2883,2011/11/15,in the morning,44,\"Piper, Hazel\"\ne2885,2011/11/16,in the late afternoon,7,\"Lydia, Olivia, Rylee, Kinsley\"\ne2886,2011/11/16,in the early afternoon,39,\"Piper, Rylee\"\ne2887,2011/11/17,in the morning,7,\"Piper, Eva, Nora, Rylee\"\ne2891,2011/11/18,in the early evening,43,\"Hazel, Claire\"\ne2899,2011/11/21,in the late afternoon,36,Olivia\ne2909,2011/11/25,in the late afternoon,39,\"Nevaeh, Lydia\"\ne2913,2011/11/26,in the morning,9,Piper\ne2915,2011/11/27,late in the evening,15,\"Piper, Olivia\"\ne2916,2011/11/27,in the early afternoon,29,\"Lydia, Piper, Layla, Rylee\"\ne2919,2011/11/28,in the late afternoon,38,\"Eva, Nevaeh, Avery\"\ne2926,2011/11/30,late in the evening,26,\"Hazel, Claire, Kinsley, Nevaeh\"\ne2930,2011/12/01,in the late afternoon,32,Nevaeh\ne2935,2011/12/02,in the morning,41,Avery\ne2940,2011/12/03,in the morning,13,\"Layla, Eva\"\ne2948,2011/12/06,in the early evening,53,\"Kinsley, Lydia\"\ne2951,2011/12/07,during lunch hours,34,\"Olivia, Nevaeh\"\ne2954,2011/12/08,in the early evening,24,\"Lydia, Hazel, Olivia, Layla\"\ne2958,2011/12/09,in the late afternoon,51,\"Piper, Piper, Hazel\"\ne2959,2011/12/09,in the late afternoon,38,\"Piper, Avery, Claire, Piper\"\ne2963,2011/12/10,in the early afternoon,31,Avery\ne2970,2011/12/12,in the early evening,52,\"Layla, Rylee, Hazel, Piper\"\ne2973,2011/12/13,in the early evening,48,\"Eva, Avery, Claire\"\ne2976,2011/12/14,during lunch hours,31,Nora\ne2977,2011/12/14,in the late afternoon,29,\"Nora, Hazel\"\ne2980,2011/12/15,late in the evening,48,\"Eva, Hazel, Claire, Piper\"\ne2985,2011/12/16,in the early evening,31,\"Layla, Nevaeh\"\ne2991,2011/12/17,late in the evening,29,\"Avery, Hazel, Layla\"\ne2996,2011/12/18,in the early evening,53,\"Kinsley, Layla, Avery, Hazel\"\ne3001,2011/12/19,in the late afternoon,40,\"Olivia, Piper, Nevaeh, Nora\"\ne3009,2011/12/21,in the early afternoon,37,Claire\ne3013,2011/12/22,in the early afternoon,24,\"Olivia, Piper, Claire\"\ne3019,2011/12/24,in the morning,18,\"Nevaeh, Hazel, Kinsley\"\ne3025,2011/12/25,during lunch hours,26,\"Avery, Layla, Eva\"\ne3026,2011/12/25,in the early afternoon,23,\"Eva, Olivia\"\ne3029,2011/12/26,in the early afternoon,20,\"Eva, Claire, Piper\"\ne3033,2011/12/28,late in the evening,48,Piper\ne3044,2011/12/31,in the late afternoon,43,\"Piper, Olivia\"\ne3178,2012/01/01,in the early evening,18,\"Kinsley, Rylee, Claire, Piper\"\ne3193,2012/01/06,in the morning,14,\"Nevaeh, Rylee, Layla\"\ne3194,2012/01/06,in the morning,49,\"Nora, Layla, Avery, Claire\"\ne3211,2012/01/11,during lunch hours,28,\"Eva, Olivia\"\ne3212,2012/01/11,late in the evening,36,\"Eva, Rylee, Lydia, Claire\"\ne3220,2012/01/13,during lunch hours,41,\"Claire, Nevaeh, Layla, Avery\"\ne3225,2012/01/14,late in the evening,53,\"Piper, Olivia\"\ne3230,2012/01/16,in the early evening,43,\"Piper, Nevaeh, Layla\"\ne3232,2012/01/17,in the morning,54,\"Piper, Nevaeh, Claire, Nora\"\ne3237,2012/01/18,in the early afternoon,54,\"Eva, Lydia, Hazel\"\ne3241,2012/01/20,in the late afternoon,15,Kinsley\ne3245,2012/01/21,in the late afternoon,41,\"Claire, Nora, Olivia\"\ne3246,2012/01/21,in the early afternoon,26,Nevaeh\ne3250,2012/01/22,in the late afternoon,6,\"Nora, Olivia, Kinsley, Piper\"\ne3252,2012/01/23,in the early evening,22,\"Claire, Lydia\"\ne3257,2012/01/24,in the early afternoon,11,\"Eva, Avery\"\ne3260,2012/01/25,in the late afternoon,20,\"Claire, Olivia, Layla, Nora\"\ne3273,2012/01/29,late in the evening,51,\"Layla, Piper, Kinsley\"\ne3283,2012/02/01,in the morning,27,\"Piper, Piper\"\ne3284,2012/02/01,in the morning,7,\"Olivia, Rylee, Nevaeh, Claire\"\ne3288,2012/02/02,in the early afternoon,44,\"Kinsley, Nevaeh\"\ne3289,2012/02/02,in the morning,5,\"Layla, Lydia, Eva, Avery\"\ne3294,2012/02/03,in the early evening,14,\"Nevaeh, Eva\"\ne3295,2012/02/03,in the morning,13,\"Layla, Claire, Nevaeh\"\ne3300,2012/02/04,in the late afternoon,45,\"Piper, Nora, Lydia\"\ne3313,2012/02/07,during lunch hours,28,\"Avery, Claire\"\ne3316,2012/02/08,in the late afternoon,43,\"Kinsley, Hazel, Nora\"\ne3322,2012/02/09,late in the evening,40,\"Avery, Layla, Claire, Nevaeh\"\ne3323,2012/02/09,in the early evening,28,\"Lydia, Nevaeh\"\ne3325,2012/02/10,in the late afternoon,11,\"Claire, Piper, Nevaeh\"\ne3326,2012/02/10,late in the evening,37,\"Eva, Nevaeh, Lydia\"\ne3332,2012/02/12,in the early evening,12,\"Eva, Kinsley, Layla, Piper\"\ne3335,2012/02/13,in the early evening,37,\"Claire, Nevaeh, Piper, Hazel\"\ne3336,2012/02/13,in the morning,47,\"Piper, Nevaeh, Avery, Lydia\"\ne3337,2012/02/14,in the late afternoon,30,\"Kinsley, Nora, Lydia, Eva\"\ne3341,2012/02/15,late in the evening,18,\"Rylee, Nora, Eva\"\ne3346,2012/02/16,in the late afternoon,16,Piper\ne3349,2012/02/17,in the early afternoon,5,Piper\ne3353,2012/02/18,in the late afternoon,33,\"Hazel, Nora\"\ne3358,2012/02/19,in the early afternoon,27,\"Layla, Claire, Piper, Eva\"\ne3363,2012/02/20,in the morning,43,\"Claire, Piper\"\ne3368,2012/02/21,during lunch hours,25,\"Layla, Piper\"\ne3372,2012/02/22,late in the evening,29,\"Lydia, Piper, Nevaeh\"\ne3380,2012/02/24,late in the evening,43,Olivia\ne3388,2012/02/26,late in the evening,21,Nevaeh\ne3395,2012/02/28,in the early afternoon,29,\"Lydia, Nevaeh, Avery\"\ne3400,2012/02/29,during lunch hours,34,\"Olivia, Nora, Layla\"\ne3401,2012/02/29,late in the evening,53,\"Claire, Nevaeh, Layla\"\ne3413,2012/03/03,in the early evening,12,\"Claire, Kinsley\"\ne3418,2012/03/04,in the morning,25,\"Lydia, Hazel, Nora, Kinsley\"\ne3424,2012/03/06,in the late afternoon,51,\"Piper, Piper, Nora\"\ne3425,2012/03/06,in the early afternoon,27,\"Kinsley, Piper, Nora\"\ne3432,2012/03/08,during lunch hours,51,\"Eva, Nevaeh, Kinsley, Olivia\"\ne3433,2012/03/08,in the late afternoon,49,Piper\ne3437,2012/03/09,in the early afternoon,51,\"Hazel, Lydia\"\ne3444,2012/03/11,in the morning,33,\"Piper, Nevaeh\"\ne3447,2012/03/12,in the morning,30,\"Claire, Eva, Rylee, Piper\"\ne3448,2012/03/12,late in the evening,37,\"Layla, Piper, Nevaeh\"\ne3458,2012/03/14,during lunch hours,53,Avery\ne3475,2012/03/18,late in the evening,6,\"Piper, Piper, Rylee\"\ne3481,2012/03/20,in the early afternoon,54,\"Kinsley, Nora, Piper, Rylee\"\ne3488,2012/03/22,during lunch hours,31,\"Eva, Layla, Piper\"\ne3491,2012/03/23,in the morning,39,\"Olivia, Layla\"\ne3508,2012/03/28,in the early afternoon,41,\"Eva, Nora, Hazel, Piper\"\ne3512,2012/03/29,in the morning,32,\"Lydia, Olivia, Rylee\"\ne3513,2012/03/29,in the late afternoon,23,Nora\ne3524,2012/04/02,in the early evening,43,\"Nevaeh, Eva\"\ne3526,2012/04/03,in the early afternoon,47,\"Eva, Avery\"\ne3534,2012/04/05,in the late afternoon,14,Avery\ne3536,2012/04/06,in the morning,39,Olivia\ne3544,2012/04/08,late in the evening,28,\"Eva, Olivia, Nora, Hazel\"\ne3552,2012/04/10,in the early afternoon,41,Piper\ne3560,2012/04/12,in the late afternoon,6,\"Nora, Kinsley, Piper\"\ne3566,2012/04/13,during lunch hours,13,\"Kinsley, Hazel, Nora\"\ne3570,2012/04/14,in the late afternoon,37,\"Olivia, Hazel, Avery, Kinsley\"\ne3571,2012/04/14,in the late afternoon,28,\"Avery, Olivia\"\ne3576,2012/04/16,in the morning,43,\"Lydia, Piper\"\ne3580,2012/04/17,during lunch hours,39,\"Lydia, Eva, Nora, Rylee\"\ne3581,2012/04/17,in the late afternoon,27,\"Claire, Kinsley, Nora, Piper\"\ne3597,2012/04/21,in the early afternoon,39,\"Claire, Nevaeh, Lydia\"\ne3601,2012/04/22,in the early evening,21,\"Kinsley, Nevaeh, Piper\"\ne3615,2012/04/26,during lunch hours,23,\"Piper, Eva\"\ne3622,2012/04/28,late in the evening,52,\"Nevaeh, Rylee, Lydia, Kinsley\"\ne3623,2012/04/28,in the late afternoon,52,\"Kinsley, Claire\"\ne3629,2012/04/30,in the late afternoon,19,\"Olivia, Nora\"\ne3633,2012/05/01,in the early evening,7,\"Piper, Piper, Lydia, Layla\"\ne3636,2012/05/02,in the early evening,13,\"Hazel, Lydia\"\ne3639,2012/05/03,in the late afternoon,19,\"Lydia, Nora, Piper, Nevaeh\"\ne3649,2012/05/06,in the early evening,49,\"Lydia, Piper, Nevaeh\"\ne3650,2012/05/06,late in the evening,25,Hazel\ne3653,2012/05/07,in the morning,28,\"Eva, Lydia, Piper\"\ne3654,2012/05/07,late in the evening,13,Nora\ne3660,2012/05/09,during lunch hours,39,\"Rylee, Avery, Kinsley\"\ne3664,2012/05/10,late in the evening,5,\"Olivia, Piper, Nevaeh\"\ne3666,2012/05/11,in the early evening,24,\"Piper, Rylee\"\ne3671,2012/05/12,in the early afternoon,7,\"Rylee, Nora\"\ne3675,2012/05/13,in the early afternoon,35,\"Avery, Piper, Lydia\"\ne3676,2012/05/13,in the late afternoon,35,\"Piper, Nora, Avery\"\ne3680,2012/05/14,in the early afternoon,18,\"Layla, Olivia, Nora, Avery\"\ne3684,2012/05/15,in the morning,5,\"Layla, Lydia, Rylee, Hazel\"\ne3687,2012/05/16,in the early afternoon,11,Lydia\ne3690,2012/05/17,in the late afternoon,17,Nevaeh\ne3691,2012/05/17,in the early afternoon,43,\"Piper, Claire\"\ne3697,2012/05/19,in the early afternoon,44,Avery\ne3706,2012/05/21,in the early afternoon,36,\"Eva, Nora, Avery, Piper\"\ne3716,2012/05/23,during lunch hours,26,\"Claire, Piper, Rylee, Olivia\"\ne3717,2012/05/23,in the early evening,19,\"Olivia, Avery, Piper, Layla\"\ne3721,2012/05/24,in the early evening,17,\"Eva, Nora, Hazel, Claire\"\ne3724,2012/05/25,during lunch hours,42,Lydia\ne3725,2012/05/25,in the early evening,52,\"Claire, Rylee, Hazel\"\ne3735,2012/05/28,late in the evening,45,\"Kinsley, Eva, Piper\"\ne3736,2012/05/28,in the late afternoon,40,\"Nora, Claire, Nevaeh, Eva\"\ne3738,2012/05/29,in the morning,21,\"Avery, Claire, Piper\"\ne3743,2012/05/30,in the early evening,29,\"Layla, Nevaeh, Kinsley\"\ne3748,2012/05/31,in the late afternoon,21,Avery\ne3753,2012/06/01,in the late afternoon,10,\"Lydia, Kinsley, Olivia, Layla\"\ne3754,2012/06/01,in the morning,23,Nora\ne3765,2012/06/04,in the early evening,18,Layla\ne3766,2012/06/04,late in the evening,27,\"Layla, Lydia, Kinsley, Olivia\"\ne3775,2012/06/08,during lunch hours,18,\"Piper, Eva, Claire, Piper\"\ne3776,2012/06/08,during lunch hours,26,\"Nevaeh, Piper\"\ne3779,2012/06/09,in the early afternoon,8,\"Avery, Piper\"\ne3788,2012/06/11,in the early afternoon,45,\"Nora, Olivia, Kinsley, Avery\"\ne3793,2012/06/13,in the late afternoon,39,\"Eva, Claire, Piper\"\ne3796,2012/06/14,in the early evening,33,\"Layla, Eva\"\ne3798,2012/06/15,during lunch hours,17,Claire\ne3799,2012/06/15,late in the evening,32,\"Layla, Nevaeh, Piper, Claire\"\ne3803,2012/06/17,in the morning,35,Nora\ne3812,2012/06/20,in the early evening,54,\"Lydia, Hazel\"\ne3822,2012/06/23,late in the evening,51,\"Claire, Nora, Piper\"\ne3827,2012/06/24,during lunch hours,55,Olivia\ne3833,2012/06/25,in the early afternoon,10,\"Piper, Rylee, Piper\"\ne3848,2012/06/28,in the late afternoon,28,Olivia\ne3853,2012/06/29,in the early afternoon,32,\"Lydia, Rylee\"\ne3859,2012/07/01,late in the evening,25,\"Layla, Claire, Nora\"\ne3866,2012/07/02,in the early afternoon,22,\"Lydia, Claire, Eva\"\ne3871,2012/07/03,in the morning,43,Kinsley\ne3879,2012/07/05,late in the evening,17,\"Lydia, Piper\"\ne3886,2012/07/07,in the morning,41,\"Eva, Nora, Lydia\"\ne3896,2012/07/10,in the morning,42,Nevaeh\ne3915,2012/07/14,in the early afternoon,31,\"Kinsley, Piper, Piper, Nora\"\ne3917,2012/07/15,in the early afternoon,35,\"Olivia, Layla\"\ne3918,2012/07/15,in the early afternoon,26,\"Piper, Avery, Rylee\"\ne3923,2012/07/16,late in the evening,42,\"Rylee, Piper, Claire\"\ne3927,2012/07/17,in the early afternoon,17,\"Lydia, Layla\"\ne3931,2012/07/18,during lunch hours,12,Rylee\ne3935,2012/07/19,in the early afternoon,37,\"Nevaeh, Nora, Piper\"\ne3936,2012/07/19,in the morning,46,\"Hazel, Nevaeh, Lydia, Avery\"\ne3940,2012/07/20,in the late afternoon,23,\"Hazel, Piper\"\ne3944,2012/07/21,in the early afternoon,51,Piper\ne3949,2012/07/22,late in the evening,30,\"Eva, Hazel\"\ne3950,2012/07/22,late in the evening,36,\"Kinsley, Piper, Nevaeh, Piper\"\ne3955,2012/07/23,in the early afternoon,35,Olivia\ne3958,2012/07/25,in the morning,30,Olivia\ne3963,2012/07/27,late in the evening,31,\"Layla, Hazel, Lydia\"\ne3965,2012/07/28,during lunch hours,16,\"Piper, Layla, Piper\"\ne3969,2012/07/29,in the early afternoon,37,Hazel\ne3970,2012/07/29,in the early evening,32,Olivia\ne3980,2012/08/01,in the late afternoon,23,\"Eva, Nevaeh, Avery, Layla\"\ne3993,2012/08/04,during lunch hours,25,Claire\ne3997,2012/08/05,in the early afternoon,23,\"Layla, Kinsley, Lydia\"\ne4000,2012/08/06,in the morning,54,\"Rylee, Hazel, Kinsley, Olivia\"\ne4007,2012/08/08,late in the evening,39,\"Olivia, Eva, Nevaeh\"\ne4013,2012/08/10,in the morning,19,\"Claire, Kinsley, Nora\"\ne4014,2012/08/10,during lunch hours,39,\"Layla, Nora, Claire, Kinsley\"\ne4019,2012/08/11,in the morning,31,\"Rylee, Piper, Piper\"\ne4024,2012/08/13,late in the evening,33,\"Nevaeh, Eva\"\ne4031,2012/08/15,late in the evening,37,\"Rylee, Nevaeh, Claire, Olivia\"\ne4048,2012/08/19,in the morning,19,\"Piper, Nora, Hazel\"\ne4053,2012/08/20,in the late afternoon,55,\"Piper, Olivia, Piper\"\ne4060,2012/08/22,in the early evening,26,Piper\ne4065,2012/08/23,in the early evening,42,Olivia\ne4066,2012/08/23,in the morning,22,\"Kinsley, Eva, Hazel\"\ne4070,2012/08/24,in the early afternoon,35,\"Eva, Kinsley\"\ne4071,2012/08/24,in the early afternoon,39,Piper\ne4073,2012/08/25,in the early evening,29,\"Kinsley, Rylee, Eva\"\ne4078,2012/08/26,late in the evening,46,Hazel\ne4082,2012/08/27,in the late afternoon,25,\"Eva, Avery\"\ne4085,2012/08/28,during lunch hours,34,\"Nevaeh, Claire, Layla, Nora\"\ne4087,2012/08/29,late in the evening,15,\"Rylee, Kinsley, Eva\"\ne4100,2012/09/01,in the early evening,24,\"Hazel, Piper\"\ne4110,2012/09/03,in the late afternoon,34,Kinsley\ne4116,2012/09/05,late in the evening,13,Nora\ne4121,2012/09/06,in the early afternoon,37,\"Olivia, Hazel, Piper, Eva\"\ne4126,2012/09/08,in the early afternoon,13,Eva\ne4129,2012/09/09,late in the evening,9,Nora\ne4136,2012/09/11,during lunch hours,41,Layla\ne4147,2012/09/14,in the morning,11,\"Nora, Eva, Layla\"\ne4154,2012/09/15,late in the evening,47,\"Nora, Olivia, Lydia, Hazel\"\ne4165,2012/09/18,in the early afternoon,15,Claire\ne4172,2012/09/20,in the early evening,33,\"Olivia, Rylee, Layla, Kinsley\"\ne4180,2012/09/22,in the late afternoon,7,Lydia\ne4181,2012/09/22,in the early evening,20,\"Claire, Hazel, Olivia\"\ne4184,2012/09/23,during lunch hours,44,\"Piper, Claire\"\ne4185,2012/09/23,in the morning,13,\"Avery, Piper, Nora\"\ne4193,2012/09/25,late in the evening,14,\"Layla, Lydia\"\ne4197,2012/09/26,during lunch hours,5,\"Piper, Lydia, Nevaeh\"\ne4198,2012/09/26,in the morning,11,\"Layla, Hazel, Eva\"\ne4207,2012/09/28,in the late afternoon,27,Layla\ne4213,2012/09/29,during lunch hours,29,Layla\ne4223,2012/10/02,in the early afternoon,53,Rylee\ne4224,2012/10/03,during lunch hours,37,\"Piper, Avery\"\ne4226,2012/10/04,during lunch hours,39,\"Rylee, Layla\"\ne4227,2012/10/04,in the late afternoon,9,\"Layla, Nora, Hazel, Kinsley\"\ne4235,2012/10/06,in the early afternoon,34,\"Piper, Nora, Nevaeh\"\ne4239,2012/10/07,in the early afternoon,44,\"Kinsley, Claire, Hazel\"\ne4240,2012/10/07,in the late afternoon,8,\"Rylee, Olivia\"\ne4246,2012/10/08,in the morning,9,\"Eva, Olivia, Hazel\"\ne4247,2012/10/08,in the early evening,8,\"Nora, Kinsley, Avery, Claire\"\ne4259,2012/10/11,in the early evening,50,\"Hazel, Claire, Piper, Olivia\"\ne4262,2012/10/12,during lunch hours,19,\"Claire, Layla, Olivia, Lydia\"\ne4265,2012/10/13,in the morning,31,\"Piper, Piper\"\ne4273,2012/10/15,in the early afternoon,42,\"Eva, Avery, Hazel\"\ne4274,2012/10/15,during lunch hours,20,Olivia\ne4280,2012/10/16,in the morning,33,\"Lydia, Olivia, Piper, Nora\"\ne4281,2012/10/16,during lunch hours,29,\"Nevaeh, Piper, Nora, Olivia\"\ne4284,2012/10/17,in the morning,32,\"Nora, Hazel, Lydia, Piper\"\ne4288,2012/10/18,in the morning,44,\"Rylee, Olivia, Nevaeh\"\ne4291,2012/10/19,during lunch hours,24,\"Eva, Olivia, Lydia\"\ne4292,2012/10/19,in the late afternoon,40,\"Claire, Nevaeh, Piper\"\ne4297,2012/10/20,in the early afternoon,17,Hazel\ne4303,2012/10/22,in the early afternoon,39,\"Eva, Hazel, Piper\"\ne4308,2012/10/23,in the early afternoon,13,Lydia\ne4314,2012/10/24,in the late afternoon,12,\"Claire, Olivia, Layla, Piper\"\ne4317,2012/10/25,late in the evening,39,\"Lydia, Avery\"\ne4324,2012/10/27,in the morning,11,\"Nora, Piper\"\ne4328,2012/10/28,in the early afternoon,38,Eva\ne4332,2012/10/29,in the morning,7,\"Hazel, Claire, Eva, Lydia\"\ne4336,2012/10/30,in the early evening,30,\"Claire, Eva, Layla, Kinsley\"\ne4345,2012/11/01,in the early evening,27,\"Layla, Avery\"\ne4349,2012/11/02,in the morning,33,\"Eva, Olivia, Layla, Avery\"\ne4355,2012/11/04,in the late afternoon,45,\"Rylee, Nora, Layla\"\ne4360,2012/11/05,late in the evening,40,Kinsley\ne4370,2012/11/07,in the morning,15,\"Piper, Nora\"\ne4374,2012/11/08,during lunch hours,43,\"Nora, Eva, Piper, Kinsley\"\ne4379,2012/11/09,in the early evening,55,Layla\ne4383,2012/11/10,in the early afternoon,33,Lydia\ne4385,2012/11/11,in the morning,27,Piper\ne4386,2012/11/11,in the late afternoon,55,\"Lydia, Nevaeh, Eva\"\ne4391,2012/11/12,in the late afternoon,49,Claire\ne4395,2012/11/13,in the morning,55,\"Piper, Avery, Nora\"\ne4402,2012/11/15,during lunch hours,11,\"Layla, Nevaeh, Hazel, Avery\"\ne4406,2012/11/17,in the early evening,40,\"Avery, Layla, Piper, Hazel\"\ne4411,2012/11/18,in the early evening,51,\"Piper, Nevaeh\"\ne4414,2012/11/19,late in the evening,37,\"Claire, Lydia, Olivia\"\ne4419,2012/11/20,during lunch hours,11,\"Rylee, Piper\"\ne4424,2012/11/21,in the early evening,12,\"Piper, Kinsley, Piper, Hazel\"\ne4428,2012/11/22,in the early evening,42,Hazel\ne4431,2012/11/23,in the late afternoon,50,\"Piper, Olivia, Hazel, Eva\"\ne4436,2012/11/24,in the early afternoon,54,\"Kinsley, Rylee, Layla\"\ne4438,2012/11/25,in the morning,40,Olivia\ne4444,2012/11/26,in the morning,38,\"Hazel, Olivia, Layla\"\ne4447,2012/11/27,in the early afternoon,52,\"Kinsley, Eva, Avery, Rylee\"\ne4448,2012/11/27,during lunch hours,42,Layla\ne4454,2012/11/28,in the morning,21,Nevaeh\ne4460,2012/11/29,in the morning,25,\"Olivia, Eva\"\ne4471,2012/12/03,in the late afternoon,39,\"Nora, Claire\"\ne4474,2012/12/04,in the early evening,49,\"Avery, Piper, Nevaeh\"\ne4484,2012/12/06,in the morning,46,\"Nora, Eva\"\ne4491,2012/12/08,in the late afternoon,25,\"Olivia, Piper, Eva, Piper\"\ne4498,2012/12/10,during lunch hours,23,\"Nevaeh, Olivia\"\ne4499,2012/12/10,late in the evening,49,\"Eva, Nora, Avery\"\ne4504,2012/12/11,in the morning,34,Piper\ne4508,2012/12/12,in the late afternoon,45,\"Hazel, Piper, Lydia, Claire\"\ne4518,2012/12/14,in the morning,50,\"Piper, Lydia\"\ne4525,2012/12/16,in the late afternoon,15,\"Piper, Avery\"\ne4528,2012/12/17,in the early evening,8,\"Layla, Lydia, Hazel\"\ne4536,2012/12/19,in the late afternoon,14,Claire\ne4540,2012/12/20,during lunch hours,12,Olivia\ne4550,2012/12/22,late in the evening,12,\"Avery, Layla, Claire\"\ne4563,2012/12/25,in the late afternoon,20,\"Piper, Hazel, Claire, Lydia\"\ne4569,2012/12/27,in the morning,10,\"Rylee, Eva, Piper, Nora\"\ne4570,2012/12/27,late in the evening,29,\"Lydia, Claire, Piper, Hazel\"\ne4576,2012/12/29,during lunch hours,44,\"Olivia, Avery, Rylee\"\ne4579,2012/12/30,in the morning,47,\"Nevaeh, Lydia, Claire, Piper\"\ne4702,2013/01/01,in the early evening,6,Claire\ne4712,2013/01/04,in the morning,28,Layla\ne4721,2013/01/07,late in the evening,46,Layla\ne4727,2013/01/09,in the morning,52,\"Layla, Avery, Claire, Hazel\"\ne4737,2013/01/12,late in the evening,27,\"Piper, Nevaeh, Claire\"\ne4738,2013/01/12,in the late afternoon,29,Avery\ne4743,2013/01/13,late in the evening,28,Avery\ne4748,2013/01/14,in the early afternoon,39,\"Hazel, Avery\"\ne4749,2013/01/14,in the early afternoon,19,\"Nevaeh, Piper, Avery\"\ne4753,2013/01/15,in the late afternoon,30,\"Lydia, Olivia\"\ne4754,2013/01/16,in the early evening,55,\"Claire, Rylee\"\ne4759,2013/01/17,during lunch hours,8,\"Claire, Piper, Eva, Hazel\"\ne4764,2013/01/18,late in the evening,54,\"Piper, Hazel\"\ne4768,2013/01/19,late in the evening,19,\"Rylee, Avery, Piper\"\ne4769,2013/01/19,during lunch hours,43,\"Eva, Olivia, Nora\"\ne4775,2013/01/22,in the early afternoon,27,\"Piper, Nora, Olivia, Rylee\"\ne4778,2013/01/23,late in the evening,5,\"Kinsley, Piper, Layla, Lydia\"\ne4781,2013/01/24,late in the evening,13,\"Kinsley, Avery\"\ne4788,2013/01/26,in the morning,44,\"Avery, Nevaeh, Nora\"\ne4789,2013/01/26,during lunch hours,6,\"Kinsley, Nevaeh\"\ne4793,2013/01/27,in the late afternoon,5,\"Hazel, Claire\"\ne4794,2013/01/27,in the early afternoon,17,\"Hazel, Nora, Nevaeh, Kinsley\"\ne4799,2013/01/28,during lunch hours,5,\"Piper, Lydia, Layla, Kinsley\"\ne4800,2013/01/28,in the early evening,9,\"Layla, Eva, Nevaeh\"\ne4807,2013/01/30,in the early evening,27,Olivia\ne4812,2013/01/31,in the early afternoon,48,\"Rylee, Nora\"\ne4819,2013/02/03,in the early afternoon,26,\"Rylee, Kinsley\"\ne4826,2013/02/06,late in the evening,51,Layla\ne4828,2013/02/07,in the late afternoon,6,\"Claire, Layla, Olivia\"\ne4833,2013/02/08,late in the evening,37,\"Rylee, Nevaeh, Avery, Lydia\"\ne4834,2013/02/08,in the morning,29,Layla\ne4837,2013/02/09,in the early evening,32,Piper\ne4840,2013/02/10,in the early afternoon,19,\"Piper, Layla\"\ne4845,2013/02/11,in the early afternoon,13,\"Lydia, Layla, Kinsley, Nora\"\ne4846,2013/02/11,late in the evening,32,\"Claire, Piper, Piper\"\ne4848,2013/02/12,late in the evening,37,\"Piper, Hazel\"\ne4849,2013/02/12,in the late afternoon,22,\"Eva, Olivia, Piper, Nora\"\ne4860,2013/02/16,in the late afternoon,16,Piper\ne4865,2013/02/17,during lunch hours,43,\"Avery, Kinsley, Rylee\"\ne4866,2013/02/17,in the early evening,7,\"Piper, Eva, Hazel\"\ne4878,2013/02/20,late in the evening,24,\"Olivia, Lydia, Nevaeh\"\ne4885,2013/02/22,late in the evening,26,Lydia\ne4893,2013/02/24,during lunch hours,13,\"Eva, Rylee\"\ne4903,2013/02/27,during lunch hours,46,\"Layla, Piper, Piper, Hazel\"\ne4913,2013/03/02,in the early evening,12,\"Olivia, Rylee\"\ne4917,2013/03/03,in the late afternoon,10,Olivia\ne4931,2013/03/06,in the late afternoon,28,\"Piper, Hazel, Lydia\"\ne4933,2013/03/07,late in the evening,5,\"Claire, Avery, Nora\"\ne4937,2013/03/09,late in the evening,5,\"Nora, Claire, Avery\"\ne4954,2013/03/13,in the morning,11,\"Piper, Eva, Avery\"\ne4955,2013/03/13,during lunch hours,5,\"Hazel, Rylee\"\ne4966,2013/03/16,during lunch hours,33,\"Rylee, Piper, Kinsley\"\ne4970,2013/03/17,in the morning,36,\"Kinsley, Piper, Piper, Eva\"\ne4974,2013/03/18,late in the evening,18,Nevaeh\ne4975,2013/03/18,late in the evening,46,Nevaeh\ne4978,2013/03/19,late in the evening,39,\"Avery, Claire\"\ne4983,2013/03/20,in the early evening,25,\"Olivia, Kinsley, Claire\"\ne4984,2013/03/20,in the morning,45,\"Nevaeh, Olivia, Nora\"\ne4989,2013/03/21,in the late afternoon,41,\"Layla, Lydia, Piper, Nora\"\ne4991,2013/03/22,during lunch hours,7,\"Kinsley, Claire, Lydia\"\ne4996,2013/03/23,in the early evening,48,Nevaeh\ne5000,2013/03/24,in the early evening,14,\"Lydia, Avery, Layla\"\ne5001,2013/03/24,in the late afternoon,30,\"Hazel, Rylee, Kinsley\"\ne5005,2013/03/25,during lunch hours,53,\"Rylee, Nevaeh\"\ne5006,2013/03/25,in the morning,12,\"Rylee, Eva, Claire, Hazel\"\ne5011,2013/03/27,in the early afternoon,17,\"Lydia, Nora, Nevaeh\"\ne5017,2013/03/28,in the late afternoon,31,\"Lydia, Eva, Layla, Avery\"\ne5025,2013/03/30,in the early afternoon,31,\"Claire, Piper\"\ne5029,2013/03/31,in the morning,49,Nevaeh\ne5034,2013/04/01,late in the evening,14,Nora\ne5035,2013/04/01,in the late afternoon,17,\"Nevaeh, Layla, Piper, Rylee\"\ne5038,2013/04/02,during lunch hours,27,\"Piper, Rylee, Nevaeh, Lydia\"\ne5041,2013/04/03,in the early afternoon,8,Nevaeh\ne5044,2013/04/04,in the late afternoon,42,Hazel\ne5055,2013/04/09,in the early evening,54,Layla\ne5058,2013/04/10,in the early evening,29,\"Rylee, Kinsley, Layla, Hazel\"\ne5062,2013/04/11,in the early evening,32,\"Layla, Claire, Kinsley\"\ne5070,2013/04/13,in the morning,20,\"Olivia, Hazel, Rylee, Nora\"\ne5073,2013/04/14,late in the evening,43,\"Nora, Olivia, Layla\"\ne5078,2013/04/15,during lunch hours,34,\"Layla, Rylee, Nora, Nevaeh\"\ne5082,2013/04/16,during lunch hours,24,\"Eva, Hazel, Piper, Avery\"\ne5091,2013/04/19,in the early evening,10,\"Piper, Kinsley\"\ne5096,2013/04/20,during lunch hours,37,\"Olivia, Nora\"\ne5101,2013/04/21,late in the evening,52,Hazel\ne5105,2013/04/22,in the late afternoon,42,\"Piper, Lydia, Rylee\"\ne5110,2013/04/23,in the late afternoon,33,\"Olivia, Piper, Piper, Kinsley\"\ne5112,2013/04/24,during lunch hours,29,Nora\ne5116,2013/04/25,in the early evening,7,\"Eva, Nevaeh, Nora\"\ne5117,2013/04/25,in the late afternoon,47,\"Layla, Nevaeh\"\ne5122,2013/04/26,in the early evening,8,\"Nora, Eva, Piper\"\ne5128,2013/04/27,in the late afternoon,24,Claire\ne5129,2013/04/27,in the early afternoon,38,Piper\ne5135,2013/04/28,during lunch hours,18,\"Avery, Claire\"\ne5136,2013/04/28,in the late afternoon,53,\"Hazel, Kinsley\"\ne5145,2013/04/30,in the morning,15,\"Eva, Lydia, Hazel\"\ne5149,2013/05/01,in the morning,31,\"Claire, Piper, Avery, Kinsley\"\ne5154,2013/05/02,late in the evening,54,\"Avery, Layla, Rylee, Eva\"\ne5164,2013/05/04,in the early afternoon,26,\"Kinsley, Avery, Rylee\"\ne5170,2013/05/05,in the early afternoon,24,Kinsley\ne5174,2013/05/06,in the late afternoon,15,\"Nora, Nevaeh, Olivia\"\ne5176,2013/05/07,late in the evening,29,Layla\ne5181,2013/05/08,in the early evening,23,Eva\ne5184,2013/05/09,in the early afternoon,26,\"Claire, Nevaeh, Nora\"\ne5185,2013/05/09,during lunch hours,37,\"Eva, Nora, Olivia\"\ne5192,2013/05/10,in the early afternoon,17,\"Piper, Nevaeh, Nora\"\ne5193,2013/05/10,in the late afternoon,47,Nevaeh\ne5197,2013/05/11,during lunch hours,6,\"Layla, Lydia\"\ne5202,2013/05/12,in the late afternoon,13,Claire\ne5203,2013/05/12,during lunch hours,14,\"Layla, Claire\"\ne5212,2013/05/15,in the late afternoon,13,\"Lydia, Kinsley, Piper, Rylee\"\ne5214,2013/05/16,in the early afternoon,16,\"Claire, Olivia, Avery, Eva\"\ne5220,2013/05/17,during lunch hours,5,Lydia\ne5222,2013/05/18,in the morning,27,\"Rylee, Avery, Hazel, Piper\"\ne5226,2013/05/19,in the late afternoon,5,Nora\ne5229,2013/05/20,in the early evening,43,Olivia\ne5231,2013/05/21,in the late afternoon,29,Avery\ne5237,2013/05/23,in the early evening,54,\"Olivia, Lydia, Nora\"\ne5245,2013/05/25,during lunch hours,55,\"Avery, Layla, Kinsley, Lydia\"\ne5248,2013/05/26,late in the evening,52,\"Layla, Eva, Nora, Hazel\"\ne5249,2013/05/26,late in the evening,15,\"Avery, Piper, Claire, Nevaeh\"\ne5252,2013/05/27,in the early afternoon,24,Avery\ne5256,2013/05/28,late in the evening,11,\"Nevaeh, Nora\"\ne5260,2013/05/29,in the early afternoon,37,Kinsley\ne5271,2013/06/01,in the early afternoon,53,Lydia\ne5276,2013/06/02,during lunch hours,49,\"Claire, Kinsley, Nora, Nevaeh\"\ne5278,2013/06/03,during lunch hours,35,\"Nora, Piper, Olivia\"\ne5280,2013/06/04,during lunch hours,49,\"Claire, Kinsley, Layla\"\ne5285,2013/06/05,in the morning,33,\"Claire, Layla\"\ne5291,2013/06/06,in the early afternoon,11,Avery\ne5295,2013/06/07,in the early afternoon,38,Kinsley\ne5299,2013/06/08,in the late afternoon,7,Lydia\ne5302,2013/06/09,in the late afternoon,21,\"Claire, Eva, Avery, Lydia\"\ne5305,2013/06/10,in the morning,15,Lydia\ne5308,2013/06/11,in the late afternoon,10,\"Rylee, Avery, Piper, Eva\"\ne5315,2013/06/13,late in the evening,31,Olivia\ne5316,2013/06/13,late in the evening,20,Eva\ne5322,2013/06/14,in the late afternoon,9,\"Nora, Hazel\"\ne5326,2013/06/15,during lunch hours,50,Rylee\ne5329,2013/06/16,in the late afternoon,31,\"Nora, Hazel, Eva\"\ne5335,2013/06/18,in the late afternoon,40,\"Nora, Piper, Olivia\"\ne5341,2013/06/19,in the morning,34,Nora\ne5342,2013/06/19,in the early evening,9,\"Lydia, Olivia, Avery\"\ne5346,2013/06/20,during lunch hours,33,\"Layla, Avery, Piper\"\ne5347,2013/06/20,during lunch hours,17,\"Avery, Piper, Lydia\"\ne5356,2013/06/23,in the early evening,18,\"Kinsley, Nevaeh\"\ne5358,2013/06/24,in the late afternoon,48,\"Rylee, Nora, Eva\"\ne5366,2013/06/26,in the morning,31,Rylee\ne5367,2013/06/27,in the morning,22,\"Avery, Eva, Nora, Rylee\"\ne5368,2013/06/27,in the early afternoon,27,Claire\ne5383,2013/07/01,in the early evening,6,\"Nevaeh, Lydia\"\ne5396,2013/07/05,in the morning,8,\"Avery, Piper\"\ne5402,2013/07/06,in the morning,14,\"Piper, Claire, Nora\"\ne5407,2013/07/07,in the late afternoon,38,\"Avery, Lydia, Olivia\"\ne5411,2013/07/08,in the late afternoon,13,\"Claire, Hazel, Layla, Rylee\"\ne5416,2013/07/10,in the early evening,14,\"Rylee, Piper, Piper\"\ne5421,2013/07/12,late in the evening,46,\"Avery, Lydia, Nora\"\ne5425,2013/07/13,in the early afternoon,19,\"Piper, Hazel\"\ne5426,2013/07/13,in the late afternoon,39,\"Hazel, Eva\"\ne5431,2013/07/14,in the morning,46,\"Claire, Hazel, Eva\"\ne5442,2013/07/17,in the early afternoon,19,\"Lydia, Nevaeh\"\ne5443,2013/07/17,in the early evening,29,Nora\ne5447,2013/07/18,in the early evening,32,\"Olivia, Nora, Hazel\"\ne5450,2013/07/19,during lunch hours,6,\"Nora, Nevaeh, Piper\"\ne5452,2013/07/20,in the early evening,28,Lydia\ne5457,2013/07/21,in the early evening,42,\"Eva, Kinsley, Hazel\"\ne5459,2013/07/22,in the early afternoon,8,\"Piper, Lydia, Avery, Olivia\"\ne5467,2013/07/24,late in the evening,40,\"Layla, Nevaeh, Eva\"\ne5469,2013/07/25,late in the evening,35,\"Nora, Claire, Rylee, Lydia\"\ne5473,2013/07/26,late in the evening,30,\"Claire, Piper\"\ne5482,2013/07/28,late in the evening,55,Piper\ne5487,2013/07/30,in the early evening,11,\"Piper, Piper, Rylee\"\ne5492,2013/07/31,during lunch hours,14,\"Lydia, Rylee, Nora\"\ne5493,2013/07/31,in the early evening,20,\"Lydia, Eva\"\ne5500,2013/08/02,late in the evening,52,\"Nevaeh, Hazel, Layla\"\ne5506,2013/08/04,in the early evening,22,\"Rylee, Eva, Layla, Lydia\"\ne5514,2013/08/06,in the early evening,35,\"Claire, Nevaeh, Avery, Rylee\"\ne5519,2013/08/07,during lunch hours,16,Piper\ne5523,2013/08/08,in the early afternoon,49,\"Kinsley, Piper, Avery\"\ne5531,2013/08/10,during lunch hours,43,Piper\ne5541,2013/08/13,in the early afternoon,19,\"Rylee, Piper\"\ne5550,2013/08/17,in the early afternoon,25,Lydia\ne5560,2013/08/20,during lunch hours,33,\"Lydia, Olivia, Nevaeh, Nora\"\ne5569,2013/08/22,late in the evening,44,Lydia\ne5570,2013/08/22,in the early evening,28,Piper\ne5572,2013/08/23,in the early evening,33,\"Nora, Avery, Layla, Hazel\"\ne5577,2013/08/24,during lunch hours,23,\"Lydia, Avery, Nevaeh\"\ne5581,2013/08/25,in the early afternoon,20,\"Nevaeh, Hazel, Piper, Avery\"\ne5586,2013/08/26,in the morning,24,\"Eva, Rylee, Claire, Olivia\"\ne5592,2013/08/28,during lunch hours,26,\"Kinsley, Rylee, Lydia, Avery\"\ne5593,2013/08/28,in the early evening,40,\"Hazel, Kinsley\"\ne5598,2013/08/29,in the early evening,39,\"Layla, Eva\"\ne5606,2013/09/01,in the early evening,21,\"Piper, Claire\"\ne5607,2013/09/01,in the late afternoon,54,\"Eva, Hazel\"\ne5612,2013/09/02,in the late afternoon,45,Hazel\ne5613,2013/09/02,in the morning,17,Nora\ne5623,2013/09/05,in the late afternoon,27,\"Lydia, Layla, Claire\"\ne5632,2013/09/07,during lunch hours,36,\"Nora, Nevaeh, Hazel, Avery\"\ne5633,2013/09/07,in the late afternoon,34,Piper\ne5635,2013/09/08,in the early evening,6,\"Olivia, Nevaeh\"\ne5636,2013/09/08,in the late afternoon,50,Piper\ne5642,2013/09/09,during lunch hours,35,\"Piper, Lydia, Eva, Hazel\"\ne5645,2013/09/10,in the early afternoon,42,Hazel\ne5646,2013/09/11,in the early evening,51,\"Nevaeh, Piper\"\ne5652,2013/09/13,in the morning,50,\"Kinsley, Avery\"\ne5653,2013/09/13,in the late afternoon,29,\"Claire, Eva, Nevaeh, Nora\"\ne5666,2013/09/17,late in the evening,21,\"Avery, Nevaeh\"\ne5674,2013/09/19,in the early afternoon,49,\"Layla, Claire\"\ne5678,2013/09/20,late in the evening,41,Nevaeh\ne5683,2013/09/21,in the early afternoon,21,\"Rylee, Layla\"\ne5684,2013/09/21,in the morning,36,Nora\ne5690,2013/09/22,in the late afternoon,36,\"Hazel, Kinsley\"\ne5701,2013/09/24,in the early afternoon,31,\"Hazel, Nora\"\ne5703,2013/09/25,in the early afternoon,39,\"Piper, Lydia, Layla\"\ne5704,2013/09/25,late in the evening,55,\"Eva, Hazel, Rylee\"\ne5707,2013/09/26,in the early evening,6,\"Piper, Rylee, Kinsley, Lydia\"\ne5713,2013/09/28,during lunch hours,54,\"Kinsley, Piper, Eva, Layla\"\ne5716,2013/09/29,in the early evening,41,\"Lydia, Piper\"\ne5721,2013/10/01,in the late afternoon,15,Rylee\ne5722,2013/10/01,in the late afternoon,10,\"Nora, Kinsley, Hazel\"\ne5728,2013/10/03,in the morning,47,Layla\ne5732,2013/10/04,during lunch hours,23,Claire\ne5733,2013/10/04,in the morning,20,\"Piper, Piper\"\ne5735,2013/10/05,during lunch hours,19,\"Claire, Piper, Layla\"\ne5743,2013/10/08,during lunch hours,40,\"Piper, Hazel\"\ne5745,2013/10/09,during lunch hours,27,Olivia\ne5748,2013/10/10,in the early evening,41,Layla\ne5749,2013/10/10,in the late afternoon,55,\"Kinsley, Nora, Lydia, Eva\"\ne5751,2013/10/11,late in the evening,53,\"Piper, Avery, Piper\"\ne5754,2013/10/13,in the early evening,26,\"Avery, Hazel\"\ne5762,2013/10/17,in the morning,31,\"Piper, Olivia, Avery\"\ne5768,2013/10/19,late in the evening,18,\"Eva, Kinsley\"\ne5776,2013/10/22,in the early afternoon,46,\"Olivia, Rylee\"\ne5777,2013/10/22,in the morning,6,\"Nevaeh, Rylee, Piper, Avery\"\ne5785,2013/10/24,during lunch hours,33,\"Layla, Piper, Lydia\"\ne5789,2013/10/25,during lunch hours,26,\"Claire, Eva, Rylee, Layla\"\ne5794,2013/10/26,in the late afternoon,31,\"Avery, Olivia, Nora, Rylee\"\ne5797,2013/10/27,in the early afternoon,16,\"Nevaeh, Piper\"\ne5799,2013/10/28,in the morning,23,\"Hazel, Olivia, Rylee\"\ne5804,2013/10/29,in the late afternoon,28,\"Avery, Layla\"\ne5810,2013/10/31,in the late afternoon,46,\"Piper, Rylee, Nevaeh, Olivia\"\ne5811,2013/10/31,in the early evening,43,\"Piper, Rylee\"\ne5815,2013/11/01,late in the evening,8,\"Eva, Nora, Olivia\"\ne5822,2013/11/03,during lunch hours,37,\"Piper, Olivia, Hazel, Layla\"\ne5823,2013/11/03,during lunch hours,28,\"Olivia, Eva, Nevaeh\"\ne5824,2013/11/04,in the early evening,11,\"Claire, Nevaeh\"\ne5826,2013/11/05,in the late afternoon,51,\"Nevaeh, Claire\"\ne5827,2013/11/05,late in the evening,49,Avery\ne5833,2013/11/06,in the early evening,15,\"Nora, Layla, Piper\"\ne5839,2013/11/07,in the morning,18,\"Rylee, Lydia, Hazel\"\ne5844,2013/11/08,in the early evening,24,\"Eva, Piper\"\ne5851,2013/11/10,late in the evening,21,Kinsley\ne5856,2013/11/12,in the late afternoon,48,\"Rylee, Claire\"\ne5859,2013/11/13,in the early afternoon,31,\"Layla, Olivia, Nevaeh\"\ne5877,2013/11/18,during lunch hours,43,\"Hazel, Lydia\"\ne5881,2013/11/19,in the early evening,40,\"Kinsley, Hazel\"\ne5882,2013/11/19,late in the evening,54,Rylee\ne5885,2013/11/20,in the early evening,23,\"Layla, Piper, Lydia, Nevaeh\"\ne5889,2013/11/22,during lunch hours,24,\"Lydia, Eva, Layla\"\ne5907,2013/11/27,during lunch hours,11,\"Nora, Avery, Layla\"\ne5916,2013/11/29,in the early evening,28,\"Claire, Olivia, Nevaeh\"\ne5919,2013/11/30,during lunch hours,14,Piper\ne5920,2013/11/30,in the early afternoon,38,\"Nevaeh, Nora, Eva, Rylee\"\ne5925,2013/12/01,during lunch hours,18,Lydia\ne5926,2013/12/01,late in the evening,36,Lydia\ne5931,2013/12/03,in the early evening,47,\"Eva, Olivia, Piper, Hazel\"\ne5932,2013/12/03,during lunch hours,31,\"Eva, Kinsley, Avery, Nevaeh\"\ne5939,2013/12/05,in the early evening,34,Piper\ne5940,2013/12/05,in the morning,23,Piper\ne5948,2013/12/07,in the late afternoon,38,\"Lydia, Olivia, Rylee\"\ne5951,2013/12/08,in the late afternoon,45,\"Claire, Piper\"\ne5952,2013/12/08,in the morning,48,Hazel\ne5959,2013/12/10,late in the evening,22,Olivia\ne5960,2013/12/11,in the early afternoon,36,\"Avery, Nevaeh, Nora, Eva\"\ne5978,2013/12/15,late in the evening,32,Lydia\ne5982,2013/12/16,in the morning,30,Layla\ne5991,2013/12/18,in the early afternoon,40,\"Nevaeh, Rylee, Olivia\"\ne5993,2013/12/19,during lunch hours,6,\"Piper, Hazel, Lydia, Piper\"\ne5994,2013/12/19,during lunch hours,24,\"Kinsley, Olivia, Claire, Piper\"\ne5999,2013/12/20,late in the evening,25,Lydia\ne6003,2013/12/21,during lunch hours,24,\"Rylee, Olivia, Hazel, Kinsley\"\ne6007,2013/12/22,in the late afternoon,24,\"Piper, Claire\"\ne6018,2013/12/24,late in the evening,6,\"Eva, Piper\"\ne6026,2013/12/26,late in the evening,26,\"Nevaeh, Avery\"\ne6033,2013/12/28,in the late afternoon,19,\"Lydia, Hazel, Rylee, Nevaeh\"\ne6038,2013/12/30,during lunch hours,20,\"Olivia, Claire, Nora\"\ne6042,2013/12/31,in the early evening,49,Hazel\ne6183,2014/01/02,in the early afternoon,42,\"Nevaeh, Layla, Avery\"\ne6185,2014/01/03,during lunch hours,18,Piper\ne6188,2014/01/04,in the early afternoon,32,\"Piper, Nora, Olivia, Eva\"\ne6198,2014/01/07,in the morning,12,Layla\ne6201,2014/01/08,in the early afternoon,36,\"Nevaeh, Nora, Lydia\"\ne6204,2014/01/09,during lunch hours,16,\"Nevaeh, Kinsley\"\ne6208,2014/01/10,in the early afternoon,48,\"Piper, Nora\"\ne6219,2014/01/13,in the late afternoon,54,Lydia\ne6223,2014/01/14,during lunch hours,43,\"Eva, Piper, Nevaeh, Layla\"\ne6227,2014/01/15,in the late afternoon,34,\"Eva, Hazel, Kinsley, Piper\"\ne6230,2014/01/16,in the morning,41,\"Layla, Piper, Nevaeh\"\ne6231,2014/01/16,during lunch hours,11,Hazel\ne6235,2014/01/17,during lunch hours,6,\"Kinsley, Hazel, Nora, Nevaeh\"\ne6238,2014/01/18,late in the evening,45,Nora\ne6241,2014/01/19,late in the evening,13,\"Hazel, Piper, Rylee, Avery\"\ne6245,2014/01/20,in the late afternoon,37,\"Claire, Nora\"\ne6249,2014/01/21,during lunch hours,48,\"Hazel, Lydia, Piper, Eva\"\ne6250,2014/01/21,in the early afternoon,37,Piper\ne6254,2014/01/22,in the early evening,52,\"Avery, Piper, Layla, Piper\"\ne6255,2014/01/22,in the late afternoon,6,\"Layla, Claire, Lydia\"\ne6260,2014/01/23,during lunch hours,10,Nora\ne6268,2014/01/25,during lunch hours,48,Claire\ne6286,2014/01/31,late in the evening,18,\"Nora, Piper, Olivia\"\ne6289,2014/02/01,in the early evening,18,\"Nevaeh, Olivia, Nora\"\ne6293,2014/02/02,in the early evening,15,\"Kinsley, Olivia, Hazel, Claire\"\ne6294,2014/02/02,in the late afternoon,44,\"Olivia, Hazel, Nora\"\ne6303,2014/02/04,during lunch hours,48,\"Kinsley, Olivia\"\ne6304,2014/02/04,in the early afternoon,34,\"Avery, Eva\"\ne6309,2014/02/05,late in the evening,22,\"Avery, Rylee, Olivia, Nevaeh\"\ne6320,2014/02/08,in the early afternoon,40,\"Eva, Layla\"\ne6321,2014/02/08,in the early evening,50,Kinsley\ne6326,2014/02/09,in the late afternoon,41,\"Lydia, Rylee\"\ne6333,2014/02/10,in the early evening,22,\"Layla, Lydia\"\ne6334,2014/02/10,in the late afternoon,26,\"Hazel, Nevaeh, Claire, Layla\"\ne6341,2014/02/11,in the morning,38,Claire\ne6342,2014/02/11,in the late afternoon,12,\"Hazel, Piper, Piper, Claire\"\ne6345,2014/02/12,in the morning,13,\"Hazel, Layla, Piper\"\ne6352,2014/02/14,in the morning,48,\"Lydia, Nevaeh, Rylee, Hazel\"\ne6357,2014/02/15,in the early afternoon,15,Piper\ne6360,2014/02/16,in the late afternoon,24,\"Hazel, Rylee, Piper, Lydia\"\ne6379,2014/02/20,late in the evening,11,Lydia\ne6383,2014/02/21,in the morning,31,\"Rylee, Lydia, Hazel, Olivia\"\ne6392,2014/02/23,late in the evening,33,\"Olivia, Lydia, Nevaeh\"\ne6395,2014/02/24,during lunch hours,15,\"Nevaeh, Olivia, Kinsley, Lydia\"\ne6400,2014/02/25,in the early evening,7,Layla\ne6401,2014/02/25,during lunch hours,27,Piper\ne6412,2014/02/28,in the early afternoon,54,\"Nevaeh, Claire, Nora, Rylee\"\ne6413,2014/02/28,in the early afternoon,21,Kinsley\ne6419,2014/03/02,during lunch hours,18,Nora\ne6425,2014/03/03,in the morning,44,Piper\ne6427,2014/03/04,in the early afternoon,39,\"Claire, Olivia\"\ne6437,2014/03/08,during lunch hours,51,Piper\ne6446,2014/03/10,in the early evening,18,Olivia\ne6449,2014/03/11,late in the evening,6,\"Kinsley, Nevaeh, Piper\"\ne6450,2014/03/11,late in the evening,15,\"Piper, Eva, Lydia, Hazel\"\ne6459,2014/03/13,in the early evening,38,\"Avery, Olivia\"\ne6463,2014/03/14,late in the evening,43,Avery\ne6467,2014/03/15,in the early evening,7,Rylee\ne6473,2014/03/17,late in the evening,8,\"Hazel, Claire, Kinsley\"\ne6480,2014/03/19,in the early afternoon,17,\"Olivia, Piper\"\ne6487,2014/03/21,in the early afternoon,39,Avery\ne6496,2014/03/23,late in the evening,49,Layla\ne6504,2014/03/26,in the morning,26,Rylee\ne6509,2014/03/27,late in the evening,42,Hazel\ne6510,2014/03/27,during lunch hours,27,\"Claire, Nora\"\ne6522,2014/03/31,in the early afternoon,9,\"Layla, Hazel\"\ne6537,2014/04/03,during lunch hours,23,\"Olivia, Piper, Lydia\"\ne6543,2014/04/04,during lunch hours,14,\"Kinsley, Rylee\"\ne6545,2014/04/05,in the early afternoon,52,\"Rylee, Piper\"\ne6554,2014/04/07,in the late afternoon,34,\"Layla, Olivia\"\ne6558,2014/04/08,in the morning,9,\"Piper, Nevaeh\"\ne6570,2014/04/11,late in the evening,6,\"Lydia, Piper\"\ne6571,2014/04/11,late in the evening,37,\"Nevaeh, Avery, Layla\"\ne6575,2014/04/12,late in the evening,7,\"Nora, Layla, Kinsley\"\ne6580,2014/04/13,in the early afternoon,15,Rylee\ne6586,2014/04/14,during lunch hours,17,Eva\ne6590,2014/04/15,in the early afternoon,7,\"Piper, Avery, Claire, Hazel\"\ne6593,2014/04/16,in the early evening,16,Piper\ne6595,2014/04/17,late in the evening,40,Eva\ne6601,2014/04/18,in the morning,14,\"Nora, Piper, Eva, Layla\"\ne6605,2014/04/19,in the morning,54,Nevaeh\ne6610,2014/04/20,late in the evening,11,Kinsley\ne6618,2014/04/22,in the early evening,11,\"Olivia, Piper, Piper\"\ne6622,2014/04/23,during lunch hours,29,Olivia\ne6626,2014/04/24,during lunch hours,26,Eva\ne6627,2014/04/24,in the early afternoon,41,Nevaeh\ne6632,2014/04/25,in the late afternoon,16,\"Eva, Layla, Piper\"\ne6633,2014/04/25,in the early afternoon,22,\"Claire, Hazel, Olivia\"\ne6636,2014/04/26,in the late afternoon,33,\"Avery, Eva, Piper, Nevaeh\"\ne6640,2014/04/27,during lunch hours,31,\"Hazel, Avery, Olivia\"\ne6648,2014/04/29,in the morning,46,\"Olivia, Hazel\"\ne6653,2014/04/30,in the late afternoon,23,\"Olivia, Kinsley\"\ne6657,2014/05/01,in the early afternoon,15,\"Kinsley, Nevaeh, Hazel, Piper\"\ne6670,2014/05/05,during lunch hours,9,\"Avery, Nevaeh, Eva, Olivia\"\ne6675,2014/05/06,in the early afternoon,7,Hazel\ne6676,2014/05/06,in the late afternoon,51,\"Claire, Layla, Nevaeh, Rylee\"\ne6686,2014/05/08,in the early evening,23,\"Layla, Olivia, Nevaeh\"\ne6690,2014/05/09,in the morning,13,\"Hazel, Kinsley, Nora\"\ne6693,2014/05/10,in the early evening,6,\"Nora, Lydia\"\ne6698,2014/05/11,in the late afternoon,55,Nora\ne6702,2014/05/12,during lunch hours,52,\"Avery, Nevaeh, Piper, Olivia\"\ne6703,2014/05/12,in the early afternoon,24,\"Nevaeh, Avery, Nora\"\ne6709,2014/05/13,in the early evening,5,\"Hazel, Eva, Lydia, Claire\"\ne6714,2014/05/14,in the early evening,52,\"Rylee, Nora, Kinsley, Nevaeh\"\ne6726,2014/05/17,in the early evening,50,Piper\ne6731,2014/05/18,during lunch hours,44,\"Rylee, Piper, Eva, Layla\"\ne6736,2014/05/19,in the early evening,40,Piper\ne6741,2014/05/20,in the early evening,29,\"Nevaeh, Olivia, Layla, Eva\"\ne6750,2014/05/22,late in the evening,14,\"Piper, Kinsley, Eva, Piper\"\ne6756,2014/05/25,in the early evening,10,Kinsley\ne6760,2014/05/26,in the late afternoon,13,\"Lydia, Piper, Claire, Olivia\"\ne6761,2014/05/26,in the late afternoon,51,\"Lydia, Layla\"\ne6765,2014/05/28,late in the evening,14,\"Nora, Piper, Olivia, Hazel\"\ne6769,2014/05/29,in the morning,17,\"Piper, Olivia\"\ne6770,2014/05/29,in the early afternoon,55,\"Nora, Lydia, Kinsley\"\ne6773,2014/05/30,late in the evening,6,\"Lydia, Nora\"\ne6774,2014/05/30,in the late afternoon,45,\"Hazel, Avery\"\ne6777,2014/05/31,in the morning,32,\"Hazel, Rylee, Avery\"\ne6779,2014/06/01,late in the evening,29,Nevaeh\ne6785,2014/06/02,in the early afternoon,34,Piper\ne6789,2014/06/03,in the early evening,41,\"Avery, Piper, Claire\"\ne6792,2014/06/04,during lunch hours,16,Piper\ne6793,2014/06/04,in the late afternoon,7,Olivia\ne6798,2014/06/05,in the early afternoon,10,Layla\ne6808,2014/06/08,in the early afternoon,10,\"Eva, Piper\"\ne6814,2014/06/09,during lunch hours,43,\"Rylee, Piper, Piper\"\ne6818,2014/06/10,in the morning,33,\"Hazel, Nora\"\ne6822,2014/06/11,in the early evening,29,\"Rylee, Piper, Nora\"\ne6824,2014/06/12,in the late afternoon,46,\"Avery, Claire\"\ne6825,2014/06/12,in the late afternoon,26,\"Piper, Piper, Rylee\"\ne6830,2014/06/14,late in the evening,23,\"Claire, Olivia, Kinsley, Piper\"\ne6831,2014/06/14,in the early afternoon,38,\"Piper, Olivia\"\ne6836,2014/06/15,in the early evening,26,Avery\ne6837,2014/06/15,during lunch hours,43,\"Eva, Avery, Olivia\"\ne6843,2014/06/16,during lunch hours,39,\"Claire, Olivia, Nora\"\ne6852,2014/06/18,in the early afternoon,5,\"Lydia, Olivia, Avery\"\ne6858,2014/06/19,late in the evening,54,\"Piper, Rylee\"\ne6862,2014/06/20,during lunch hours,12,Claire\ne6867,2014/06/21,in the late afternoon,35,Hazel\ne6871,2014/06/22,during lunch hours,23,\"Piper, Olivia\"\ne6874,2014/06/23,in the early evening,16,\"Olivia, Claire, Nevaeh\"\ne6879,2014/06/26,in the late afternoon,14,\"Nora, Nevaeh, Kinsley\"\ne6880,2014/06/26,in the early evening,45,Claire\ne6887,2014/06/28,in the early afternoon,36,\"Nevaeh, Nora\"\ne6894,2014/06/30,in the early afternoon,54,Hazel\ne6902,2014/07/03,in the early afternoon,28,\"Layla, Avery, Kinsley\"\ne6918,2014/07/07,in the early evening,39,\"Piper, Layla, Claire\"\ne6926,2014/07/09,in the late afternoon,22,Piper\ne6930,2014/07/10,late in the evening,51,\"Nora, Nevaeh, Avery, Kinsley\"\ne6935,2014/07/11,in the early evening,39,\"Rylee, Kinsley, Eva\"\ne6943,2014/07/14,in the morning,27,\"Nora, Hazel, Claire\"\ne6947,2014/07/15,during lunch hours,13,Claire\ne6951,2014/07/16,late in the evening,30,\"Nora, Piper, Nevaeh, Lydia\"\ne6961,2014/07/19,in the morning,16,\"Kinsley, Lydia\"\ne6966,2014/07/20,in the early evening,25,\"Olivia, Hazel, Kinsley\"\ne6971,2014/07/21,late in the evening,16,Claire\ne6979,2014/07/24,in the early afternoon,38,\"Hazel, Lydia, Piper\"\ne6983,2014/07/25,in the morning,31,\"Hazel, Nevaeh\"\ne6986,2014/07/26,in the morning,14,\"Layla, Kinsley, Claire, Hazel\"\ne6987,2014/07/26,in the early afternoon,6,Claire\ne6991,2014/07/27,in the early afternoon,8,\"Kinsley, Rylee, Claire\"\ne6992,2014/07/27,in the early evening,47,\"Kinsley, Eva, Hazel, Claire\"\ne6996,2014/07/28,in the early evening,17,\"Rylee, Claire, Nevaeh, Layla\"\ne7000,2014/07/29,in the morning,55,\"Kinsley, Nevaeh, Hazel\"\ne7003,2014/07/30,during lunch hours,53,\"Piper, Hazel, Rylee\"\ne7006,2014/07/31,in the late afternoon,51,\"Kinsley, Hazel\"\ne7010,2014/08/02,in the early evening,9,\"Olivia, Kinsley\"\ne7017,2014/08/05,in the early afternoon,17,Nora\ne7020,2014/08/07,in the late afternoon,31,\"Olivia, Kinsley, Hazel\"\ne7024,2014/08/08,in the morning,35,\"Hazel, Layla, Nora\"\ne7029,2014/08/09,late in the evening,47,Piper\ne7034,2014/08/10,in the late afternoon,13,\"Nevaeh, Eva\"\ne7040,2014/08/11,late in the evening,13,\"Hazel, Lydia, Nora, Claire\"\ne7044,2014/08/12,in the early afternoon,40,\"Kinsley, Lydia\"\ne7052,2014/08/14,in the early afternoon,27,\"Hazel, Piper, Kinsley\"\ne7055,2014/08/15,in the early afternoon,39,Layla\ne7061,2014/08/16,in the morning,19,\"Avery, Nora, Piper, Rylee\"\ne7068,2014/08/18,in the early evening,38,Nora\ne7069,2014/08/18,during lunch hours,29,\"Eva, Kinsley, Hazel\"\ne7073,2014/08/19,in the early afternoon,49,\"Piper, Nora, Hazel, Kinsley\"\ne7079,2014/08/21,late in the evening,11,\"Kinsley, Nora, Lydia\"\ne7080,2014/08/21,in the late afternoon,51,\"Hazel, Piper, Nevaeh, Avery\"\ne7084,2014/08/22,during lunch hours,13,\"Nevaeh, Olivia, Piper\"\ne7089,2014/08/23,in the late afternoon,52,Rylee\ne7090,2014/08/23,late in the evening,55,\"Nevaeh, Piper\"\ne7093,2014/08/24,late in the evening,24,\"Avery, Eva, Nora\"\ne7096,2014/08/25,late in the evening,16,\"Piper, Claire\"\ne7097,2014/08/25,in the early afternoon,13,\"Nevaeh, Piper, Hazel\"\ne7102,2014/08/26,in the morning,18,Rylee\ne7115,2014/08/29,in the late afternoon,29,Claire\ne7119,2014/08/30,in the early evening,5,Olivia\ne7123,2014/08/31,during lunch hours,44,\"Claire, Eva\"\ne7124,2014/08/31,during lunch hours,6,\"Piper, Avery\"\ne7129,2014/09/01,in the early evening,41,\"Lydia, Avery, Piper, Layla\"\ne7135,2014/09/02,in the early evening,24,Piper\ne7139,2014/09/03,in the late afternoon,6,\"Piper, Rylee, Avery, Hazel\"\ne7140,2014/09/03,in the early evening,49,Layla\ne7144,2014/09/04,in the early afternoon,21,Hazel\ne7149,2014/09/06,in the morning,53,Avery\ne7151,2014/09/08,in the morning,7,Piper\ne7156,2014/09/09,during lunch hours,12,Hazel\ne7157,2014/09/09,late in the evening,41,Hazel\ne7161,2014/09/10,in the early afternoon,11,\"Hazel, Piper\"\ne7169,2014/09/12,late in the evening,48,\"Nevaeh, Piper, Claire, Piper\"\ne7171,2014/09/13,late in the evening,25,Olivia\ne7174,2014/09/14,in the late afternoon,20,Olivia\ne7181,2014/09/15,in the early evening,26,Claire\ne7187,2014/09/16,late in the evening,48,\"Piper, Rylee, Nora, Claire\"\ne7191,2014/09/17,in the late afternoon,13,\"Eva, Nora, Olivia, Nevaeh\"\ne7195,2014/09/18,in the late afternoon,32,\"Piper, Rylee, Layla, Nevaeh\"\ne7200,2014/09/19,in the early afternoon,12,\"Lydia, Olivia\"\ne7201,2014/09/19,in the late afternoon,8,\"Hazel, Nora, Eva, Nevaeh\"\ne7207,2014/09/21,in the early afternoon,55,\"Piper, Olivia\"\ne7213,2014/09/22,in the early evening,40,\"Rylee, Claire, Olivia\"\ne7220,2014/09/24,in the late afternoon,10,\"Nevaeh, Piper, Avery, Rylee\"\ne7221,2014/09/24,in the morning,30,\"Hazel, Avery, Nora\"\ne7229,2014/09/26,in the late afternoon,38,\"Piper, Olivia, Lydia, Claire\"\ne7232,2014/09/27,during lunch hours,21,\"Layla, Nevaeh\"\ne7234,2014/09/28,in the morning,49,\"Layla, Rylee, Avery\"\ne7238,2014/09/29,during lunch hours,24,\"Kinsley, Avery, Piper\"\ne7250,2014/10/03,during lunch hours,22,\"Lydia, Eva, Avery\"\ne7251,2014/10/03,late in the evening,45,\"Nevaeh, Kinsley, Piper\"\ne7254,2014/10/04,in the morning,32,\"Rylee, Nora\"\ne7257,2014/10/05,in the early evening,15,\"Rylee, Avery\"\ne7261,2014/10/06,in the early afternoon,6,\"Avery, Nevaeh\"\ne7263,2014/10/07,in the early evening,35,\"Nevaeh, Piper, Rylee, Hazel\"\ne7264,2014/10/07,in the morning,23,\"Eva, Layla, Piper\"\ne7268,2014/10/08,in the late afternoon,16,\"Hazel, Piper, Nevaeh\"\ne7275,2014/10/10,in the morning,7,\"Lydia, Piper, Hazel, Avery\"\ne7284,2014/10/14,late in the evening,10,\"Claire, Avery\"\ne7285,2014/10/14,in the morning,50,Layla\ne7290,2014/10/15,in the early afternoon,52,\"Claire, Hazel, Nevaeh, Piper\"\ne7295,2014/10/16,in the morning,48,Olivia\ne7299,2014/10/17,in the morning,34,Piper\ne7318,2014/10/22,in the early evening,30,\"Kinsley, Piper\"\ne7321,2014/10/23,in the early afternoon,48,\"Layla, Rylee, Eva\"\ne7325,2014/10/24,late in the evening,23,\"Eva, Rylee\"\ne7330,2014/10/25,during lunch hours,44,\"Piper, Eva, Avery\"\ne7333,2014/10/26,in the early afternoon,14,\"Avery, Claire, Hazel\"\ne7337,2014/10/27,in the late afternoon,40,\"Kinsley, Lydia, Hazel\"\ne7343,2014/10/28,during lunch hours,46,Nevaeh\ne7349,2014/10/30,during lunch hours,30,\"Rylee, Hazel, Piper\"\ne7350,2014/10/30,during lunch hours,25,Eva\ne7353,2014/10/31,during lunch hours,37,\"Olivia, Avery, Rylee, Eva\"\ne7354,2014/10/31,in the late afternoon,10,Hazel\ne7359,2014/11/01,late in the evening,39,\"Kinsley, Hazel\"\ne7360,2014/11/01,in the morning,18,\"Olivia, Kinsley, Avery\"\ne7364,2014/11/02,in the early evening,19,Piper\ne7367,2014/11/03,late in the evening,30,Lydia\ne7370,2014/11/04,in the early evening,47,Rylee\ne7374,2014/11/05,in the morning,34,\"Hazel, Piper, Eva\"\ne7375,2014/11/05,in the late afternoon,6,\"Piper, Kinsley\"\ne7390,2014/11/09,in the early afternoon,50,\"Piper, Nevaeh\"\ne7397,2014/11/11,late in the evening,23,\"Olivia, Claire, Avery\"\ne7401,2014/11/12,in the early afternoon,20,\"Lydia, Eva, Kinsley, Rylee\"\ne7406,2014/11/13,in the late afternoon,23,\"Kinsley, Nora, Rylee\"\ne7411,2014/11/14,late in the evening,34,Nora\ne7415,2014/11/15,in the morning,6,\"Hazel, Layla\"\ne7416,2014/11/15,in the early afternoon,31,Nevaeh\ne7422,2014/11/17,in the early evening,34,\"Piper, Piper, Avery, Lydia\"\ne7423,2014/11/17,in the late afternoon,29,Kinsley\ne7440,2014/11/22,during lunch hours,42,\"Piper, Lydia, Nevaeh\"\ne7442,2014/11/23,in the morning,38,\"Piper, Kinsley, Piper\"\ne7446,2014/11/24,late in the evening,22,\"Piper, Olivia, Piper\"\ne7449,2014/11/25,in the morning,44,\"Nevaeh, Olivia, Claire\"\ne7450,2014/11/25,in the morning,22,\"Olivia, Piper, Avery\"\ne7456,2014/11/26,in the early evening,41,\"Hazel, Nevaeh, Avery\"\ne7461,2014/11/27,during lunch hours,37,\"Rylee, Nevaeh, Piper, Piper\"\ne7462,2014/11/28,in the early afternoon,36,\"Lydia, Kinsley, Rylee\"\ne7463,2014/11/28,in the early afternoon,19,\"Olivia, Claire, Hazel\"\ne7470,2014/11/29,in the early afternoon,32,\"Piper, Rylee\"\ne7476,2014/12/01,in the early afternoon,51,\"Avery, Olivia, Rylee\"\ne7490,2014/12/06,late in the evening,39,Piper\ne7492,2014/12/07,in the late afternoon,42,Piper\ne7497,2014/12/09,late in the evening,50,\"Rylee, Olivia\"\ne7502,2014/12/10,late in the evening,42,\"Nora, Olivia, Avery, Piper\"\ne7506,2014/12/11,during lunch hours,41,\"Piper, Nevaeh, Nora, Olivia\"\ne7509,2014/12/12,late in the evening,36,\"Rylee, Nevaeh, Nora, Avery\"\ne7515,2014/12/13,in the early evening,46,\"Lydia, Kinsley, Layla, Nevaeh\"\ne7523,2014/12/15,late in the evening,31,\"Rylee, Layla, Nora, Hazel\"\ne7531,2014/12/17,in the late afternoon,25,Rylee\ne7534,2014/12/18,in the early afternoon,34,\"Claire, Avery\"\ne7537,2014/12/19,in the early afternoon,36,\"Rylee, Hazel\"\ne7550,2014/12/22,in the morning,55,\"Eva, Nora, Rylee\"\ne7554,2014/12/24,in the early afternoon,51,\"Piper, Kinsley\"\ne7555,2014/12/24,in the late afternoon,33,Rylee\ne7563,2014/12/26,in the late afternoon,16,\"Rylee, Claire, Olivia, Hazel\"\ne7575,2014/12/30,in the morning,20,\"Piper, Avery, Layla\"\ne7576,2014/12/30,in the early evening,18,\"Eva, Piper, Claire\"\ne7732,2015/01/01,in the early evening,29,Eva\ne7737,2015/01/02,in the early afternoon,36,\"Claire, Rylee, Lydia\"\ne7741,2015/01/03,in the late afternoon,44,Piper\ne7742,2015/01/03,late in the evening,42,Kinsley\ne7747,2015/01/04,in the morning,41,\"Eva, Nora, Layla, Nevaeh\"\ne7748,2015/01/04,in the early evening,41,\"Claire, Layla, Eva\"\ne7751,2015/01/05,in the morning,36,Eva\ne7752,2015/01/05,in the early evening,28,Piper\ne7757,2015/01/06,in the early evening,19,\"Avery, Kinsley\"\ne7762,2015/01/07,in the early afternoon,28,\"Rylee, Piper, Olivia, Layla\"\ne7767,2015/01/09,late in the evening,10,\"Kinsley, Layla, Rylee, Lydia\"\ne7768,2015/01/09,during lunch hours,17,Lydia\ne7777,2015/01/11,during lunch hours,54,\"Nevaeh, Claire\"\ne7782,2015/01/12,in the early afternoon,37,Avery\ne7787,2015/01/13,during lunch hours,32,\"Nora, Avery, Hazel, Eva\"\ne7790,2015/01/14,in the early afternoon,47,Claire\ne7794,2015/01/15,in the early evening,13,\"Claire, Layla, Piper\"\ne7799,2015/01/17,in the late afternoon,55,\"Lydia, Piper, Hazel\"\ne7805,2015/01/19,during lunch hours,8,\"Piper, Eva, Hazel, Piper\"\ne7806,2015/01/19,in the morning,22,\"Lydia, Kinsley, Hazel, Piper\"\ne7810,2015/01/20,during lunch hours,11,\"Nora, Piper\"\ne7813,2015/01/21,in the late afternoon,43,\"Eva, Kinsley, Claire, Avery\"\ne7818,2015/01/22,in the early evening,35,\"Piper, Kinsley, Avery, Nora\"\ne7823,2015/01/24,in the early evening,19,\"Piper, Nora, Olivia, Eva\"\ne7826,2015/01/25,in the early evening,32,\"Avery, Kinsley\"\ne7836,2015/01/27,in the early evening,13,Piper\ne7837,2015/01/27,late in the evening,34,\"Hazel, Nevaeh\"\ne7846,2015/01/29,during lunch hours,21,\"Nora, Nevaeh, Rylee\"\ne7851,2015/01/30,in the late afternoon,29,Eva\ne7853,2015/01/31,in the late afternoon,42,\"Lydia, Rylee, Eva\"\ne7856,2015/02/01,in the early afternoon,29,\"Hazel, Layla, Claire\"\ne7864,2015/02/03,in the early evening,32,\"Claire, Piper\"\ne7869,2015/02/04,in the late afternoon,8,\"Avery, Lydia, Nora, Eva\"\ne7875,2015/02/06,in the early afternoon,30,\"Olivia, Kinsley\"\ne7877,2015/02/07,in the late afternoon,46,\"Olivia, Piper, Nora\"\ne7883,2015/02/08,in the early afternoon,38,\"Avery, Claire\"\ne7891,2015/02/11,during lunch hours,52,\"Avery, Nora, Olivia\"\ne7892,2015/02/11,in the morning,49,Kinsley\ne7895,2015/02/12,in the morning,30,\"Hazel, Lydia\"\ne7897,2015/02/13,in the early afternoon,33,\"Nevaeh, Eva, Piper\"\ne7898,2015/02/13,in the early afternoon,38,\"Eva, Lydia, Piper, Layla\"\ne7902,2015/02/15,during lunch hours,51,Kinsley\ne7906,2015/02/16,late in the evening,41,\"Claire, Avery, Lydia, Hazel\"\ne7907,2015/02/16,late in the evening,20,Olivia\ne7911,2015/02/17,in the early evening,47,Avery\ne7917,2015/02/18,late in the evening,14,\"Lydia, Olivia, Hazel, Avery\"\ne7918,2015/02/18,late in the evening,17,\"Piper, Kinsley, Piper\"\ne7922,2015/02/20,in the early afternoon,46,\"Hazel, Avery\"\ne7931,2015/02/23,in the early evening,34,\"Claire, Nevaeh, Lydia\"\ne7936,2015/02/24,late in the evening,16,\"Hazel, Rylee, Nora, Olivia\"\ne7939,2015/02/25,in the early evening,29,\"Rylee, Hazel, Piper, Eva\"\ne7940,2015/02/25,during lunch hours,20,\"Avery, Piper, Claire\"\ne7947,2015/02/27,in the late afternoon,34,\"Eva, Kinsley, Piper, Hazel\"\ne7952,2015/02/28,late in the evening,49,\"Hazel, Piper\"\ne7953,2015/02/28,during lunch hours,49,\"Nevaeh, Piper, Claire\"\ne7961,2015/03/02,in the early evening,45,Kinsley\ne7969,2015/03/04,late in the evening,42,\"Lydia, Claire\"\ne7971,2015/03/05,during lunch hours,12,Claire\ne7977,2015/03/06,in the morning,30,\"Layla, Kinsley, Nevaeh\"\ne7984,2015/03/08,in the late afternoon,10,\"Layla, Nevaeh, Eva, Kinsley\"\ne7985,2015/03/08,in the morning,9,Rylee\ne7989,2015/03/10,in the late afternoon,42,Piper\ne7994,2015/03/12,in the early afternoon,9,\"Layla, Nora\"\ne7997,2015/03/13,in the early afternoon,33,\"Piper, Piper\"\ne7998,2015/03/13,in the late afternoon,13,Lydia\ne8001,2015/03/14,in the early afternoon,11,\"Nora, Eva\"\ne8008,2015/03/16,in the early afternoon,11,\"Kinsley, Layla\"\ne8018,2015/03/18,in the late afternoon,49,\"Avery, Piper\"\ne8022,2015/03/19,during lunch hours,39,\"Avery, Rylee\"\ne8025,2015/03/21,late in the evening,41,\"Avery, Lydia, Nora\"\ne8031,2015/03/22,during lunch hours,26,\"Lydia, Nora, Rylee\"\ne8038,2015/03/24,in the late afternoon,33,\"Claire, Nora, Piper\"\ne8043,2015/03/25,in the early afternoon,12,Kinsley\ne8073,2015/04/03,in the morning,40,\"Olivia, Nevaeh, Claire\"\ne8075,2015/04/04,late in the evening,30,\"Piper, Lydia, Olivia, Nevaeh\"\ne8079,2015/04/05,in the morning,54,Layla\ne8083,2015/04/06,in the late afternoon,38,\"Olivia, Hazel\"\ne8085,2015/04/07,in the early evening,47,\"Layla, Hazel\"\ne8086,2015/04/07,in the early afternoon,33,\"Olivia, Rylee\"\ne8089,2015/04/08,in the morning,40,\"Kinsley, Olivia, Eva\"\ne8098,2015/04/11,in the early evening,19,\"Hazel, Lydia, Nevaeh, Rylee\"\ne8104,2015/04/13,in the late afternoon,20,\"Piper, Rylee, Olivia\"\ne8105,2015/04/13,in the early evening,46,Claire\ne8117,2015/04/17,in the late afternoon,39,\"Piper, Nora, Piper\"\ne8127,2015/04/19,in the late afternoon,53,Avery\ne8131,2015/04/20,late in the evening,18,\"Rylee, Lydia, Olivia\"\ne8141,2015/04/23,in the late afternoon,34,\"Nora, Lydia, Rylee\"\ne8146,2015/04/24,in the early evening,37,Rylee\ne8149,2015/04/25,in the early evening,39,Piper\ne8160,2015/04/28,in the early evening,19,\"Claire, Lydia, Nevaeh, Olivia\"\ne8171,2015/05/02,during lunch hours,42,Hazel\ne8175,2015/05/04,in the morning,33,Layla\ne8177,2015/05/05,late in the evening,9,\"Piper, Hazel, Olivia, Nora\"\ne8180,2015/05/06,in the early afternoon,19,\"Hazel, Olivia, Layla\"\ne8184,2015/05/07,in the early evening,40,\"Nora, Olivia, Avery\"\ne8189,2015/05/08,late in the evening,27,\"Rylee, Claire, Olivia\"\ne8194,2015/05/09,in the late afternoon,53,\"Lydia, Eva, Hazel, Nevaeh\"\ne8199,2015/05/10,in the late afternoon,53,\"Claire, Olivia, Piper\"\ne8202,2015/05/11,during lunch hours,10,\"Eva, Rylee, Avery\"\ne8206,2015/05/12,in the late afternoon,41,\"Nevaeh, Hazel, Piper, Nora\"\ne8209,2015/05/13,in the morning,15,\"Kinsley, Hazel, Claire\"\ne8213,2015/05/14,during lunch hours,40,\"Piper, Olivia\"\ne8222,2015/05/16,in the late afternoon,9,\"Rylee, Hazel, Piper\"\ne8229,2015/05/18,in the morning,38,\"Piper, Rylee, Layla\"\ne8235,2015/05/19,in the late afternoon,33,\"Eva, Nora, Avery, Nevaeh\"\ne8236,2015/05/19,in the early evening,7,Rylee\ne8238,2015/05/20,in the late afternoon,9,\"Kinsley, Claire, Lydia\"\ne8239,2015/05/20,in the early evening,35,\"Hazel, Piper\"\ne8245,2015/05/21,late in the evening,35,\"Layla, Lydia, Nora, Piper\"\ne8255,2015/05/23,during lunch hours,11,\"Eva, Avery, Nora, Olivia\"\ne8260,2015/05/25,during lunch hours,44,\"Hazel, Nevaeh\"\ne8261,2015/05/25,in the early afternoon,17,\"Nevaeh, Lydia, Claire, Piper\"\ne8264,2015/05/26,in the late afternoon,23,Piper\ne8269,2015/05/27,late in the evening,34,\"Piper, Avery\"\ne8274,2015/05/28,in the late afternoon,36,Olivia\ne8277,2015/05/29,in the late afternoon,11,\"Piper, Hazel\"\ne8284,2015/05/31,in the morning,41,Hazel\ne8290,2015/06/01,in the late afternoon,49,Rylee\ne8291,2015/06/01,in the morning,52,\"Olivia, Eva, Lydia\"\ne8297,2015/06/02,in the morning,48,Avery\ne8298,2015/06/02,in the late afternoon,17,\"Avery, Hazel, Nora\"\ne8301,2015/06/04,in the morning,44,\"Avery, Lydia, Kinsley, Eva\"\ne8305,2015/06/05,during lunch hours,38,\"Kinsley, Claire, Nora\"\ne8306,2015/06/05,during lunch hours,5,Nora\ne8307,2015/06/06,in the morning,39,Olivia\ne8311,2015/06/07,in the early evening,11,\"Piper, Lydia, Nora\"\ne8316,2015/06/08,late in the evening,38,\"Kinsley, Rylee, Layla\"\ne8317,2015/06/08,during lunch hours,6,\"Rylee, Piper\"\ne8321,2015/06/09,during lunch hours,9,\"Piper, Nevaeh\"\ne8322,2015/06/09,in the early evening,28,\"Olivia, Nevaeh, Claire, Avery\"\ne8328,2015/06/11,in the early evening,12,\"Eva, Piper, Hazel, Piper\"\ne8336,2015/06/13,during lunch hours,37,Eva\ne8337,2015/06/13,in the late afternoon,53,Piper\ne8340,2015/06/14,late in the evening,15,\"Nora, Olivia\"\ne8342,2015/06/15,in the morning,50,Hazel\ne8343,2015/06/15,in the early afternoon,54,Piper\ne8353,2015/06/17,in the early afternoon,8,\"Lydia, Eva, Rylee, Avery\"\ne8362,2015/06/19,in the early evening,14,Avery\ne8367,2015/06/20,during lunch hours,37,Lydia\ne8371,2015/06/21,late in the evening,55,Claire\ne8376,2015/06/22,late in the evening,33,\"Piper, Claire, Eva, Lydia\"\ne8380,2015/06/23,in the late afternoon,47,Kinsley\ne8384,2015/06/24,late in the evening,40,\"Rylee, Nevaeh\"\ne8389,2015/06/26,in the early afternoon,16,\"Piper, Rylee\"\ne8394,2015/06/27,during lunch hours,54,\"Claire, Eva, Piper\"\ne8397,2015/06/28,late in the evening,48,\"Piper, Hazel, Rylee\"\ne8398,2015/06/28,in the early evening,50,\"Claire, Lydia, Hazel, Rylee\"\ne8409,2015/07/02,in the early evening,16,Lydia\ne8413,2015/07/03,in the late afternoon,22,\"Hazel, Lydia, Eva, Layla\"\ne8416,2015/07/04,late in the evening,42,Claire\ne8423,2015/07/06,during lunch hours,49,Olivia\ne8430,2015/07/09,in the late afternoon,26,\"Piper, Eva, Hazel, Claire\"\ne8436,2015/07/10,in the late afternoon,30,\"Piper, Rylee, Nevaeh, Olivia\"\ne8437,2015/07/10,in the late afternoon,41,\"Layla, Piper\"\ne8442,2015/07/11,in the early evening,10,\"Claire, Olivia, Avery\"\ne8454,2015/07/14,in the early evening,31,\"Nora, Claire, Piper\"\ne8455,2015/07/14,during lunch hours,54,\"Nora, Hazel, Nevaeh, Piper\"\ne8463,2015/07/16,late in the evening,36,\"Layla, Olivia\"\ne8467,2015/07/17,late in the evening,27,Olivia\ne8472,2015/07/18,late in the evening,44,\"Olivia, Avery, Eva\"\ne8475,2015/07/19,in the late afternoon,47,\"Nora, Eva, Avery\"\ne8480,2015/07/20,during lunch hours,44,\"Eva, Layla\"\ne8481,2015/07/20,in the early evening,20,Rylee\ne8486,2015/07/22,late in the evening,17,\"Claire, Olivia\"\ne8493,2015/07/23,in the morning,52,\"Nora, Eva\"\ne8500,2015/07/25,in the early evening,23,Kinsley\ne8501,2015/07/25,in the late afternoon,5,Rylee\ne8507,2015/07/26,in the early evening,49,Avery\ne8514,2015/07/28,late in the evening,27,\"Rylee, Hazel, Piper, Claire\"\ne8515,2015/07/28,in the early afternoon,47,\"Olivia, Piper, Piper, Lydia\"\ne8519,2015/07/30,late in the evening,19,\"Piper, Nora, Lydia\"\ne8522,2015/07/31,in the early afternoon,26,\"Kinsley, Avery\"\ne8528,2015/08/01,in the morning,40,\"Olivia, Nora, Rylee, Claire\"\ne8531,2015/08/02,in the early evening,13,Nevaeh\ne8546,2015/08/06,late in the evening,21,\"Piper, Rylee, Piper, Avery\"\ne8551,2015/08/07,during lunch hours,12,\"Nora, Layla\"\ne8556,2015/08/09,in the morning,11,\"Avery, Eva, Lydia, Layla\"\ne8567,2015/08/12,in the morning,22,\"Avery, Kinsley, Hazel, Lydia\"\ne8571,2015/08/13,late in the evening,35,Claire\ne8574,2015/08/14,in the early afternoon,16,\"Lydia, Layla, Rylee\"\ne8581,2015/08/16,in the early evening,51,\"Layla, Kinsley, Nevaeh\"\ne8586,2015/08/17,in the early afternoon,5,\"Eva, Olivia\"\ne8590,2015/08/18,in the early evening,53,\"Lydia, Piper\"\ne8602,2015/08/21,during lunch hours,46,\"Piper, Lydia, Nevaeh\"\ne8603,2015/08/21,in the morning,15,\"Nevaeh, Hazel, Eva, Piper\"\ne8606,2015/08/22,in the late afternoon,14,Claire\ne8609,2015/08/23,during lunch hours,54,\"Layla, Nora, Piper\"\ne8612,2015/08/24,in the late afternoon,25,Avery\ne8617,2015/08/25,late in the evening,45,\"Eva, Nevaeh, Hazel, Piper\"\ne8622,2015/08/26,late in the evening,18,\"Eva, Piper\"\ne8630,2015/08/28,during lunch hours,7,\"Kinsley, Nora\"\ne8633,2015/08/29,in the late afternoon,6,\"Eva, Nora\"\ne8637,2015/08/30,in the morning,5,\"Hazel, Eva, Kinsley, Avery\"\ne8641,2015/08/31,late in the evening,52,Olivia\ne8648,2015/09/02,during lunch hours,28,\"Layla, Avery, Nora\"\ne8649,2015/09/02,in the morning,45,Nevaeh\ne8652,2015/09/03,late in the evening,34,Lydia\ne8660,2015/09/05,during lunch hours,49,\"Lydia, Layla, Nora, Piper\"\ne8665,2015/09/06,during lunch hours,34,Nevaeh\ne8669,2015/09/07,during lunch hours,53,Hazel\ne8677,2015/09/09,in the early evening,48,\"Lydia, Eva, Kinsley\"\ne8684,2015/09/10,late in the evening,54,Eva\ne8693,2015/09/12,in the early afternoon,41,\"Kinsley, Rylee\"\ne8695,2015/09/13,in the early afternoon,46,\"Nevaeh, Rylee, Piper\"\ne8698,2015/09/14,late in the evening,19,Lydia\ne8701,2015/09/15,in the early evening,7,Nora\ne8705,2015/09/16,in the early evening,26,\"Nora, Nevaeh\"\ne8708,2015/09/17,late in the evening,54,\"Eva, Avery, Piper\"\ne8712,2015/09/18,in the early afternoon,44,\"Hazel, Piper, Nora, Rylee\"\ne8719,2015/09/19,in the early afternoon,39,Lydia\ne8728,2015/09/21,during lunch hours,30,\"Kinsley, Nevaeh\"\ne8730,2015/09/22,late in the evening,42,\"Eva, Avery, Piper, Lydia\"\ne8741,2015/09/26,in the early evening,47,\"Olivia, Kinsley, Claire, Nevaeh\"\ne8752,2015/09/29,in the late afternoon,24,\"Nevaeh, Lydia, Nora\"\ne8757,2015/09/30,during lunch hours,46,\"Piper, Piper, Lydia, Nevaeh\"\ne8762,2015/10/02,in the early evening,37,\"Kinsley, Avery, Nora\"\ne8769,2015/10/05,in the early evening,23,\"Rylee, Kinsley, Piper\"\ne8779,2015/10/08,late in the evening,45,Olivia\ne8783,2015/10/09,in the late afternoon,49,\"Olivia, Piper\"\ne8785,2015/10/10,in the early afternoon,6,\"Claire, Layla, Rylee, Piper\"\ne8786,2015/10/10,in the late afternoon,31,\"Avery, Hazel, Layla\"\ne8796,2015/10/12,during lunch hours,35,\"Lydia, Hazel, Piper\"\ne8801,2015/10/13,in the morning,53,\"Kinsley, Eva\"\ne8804,2015/10/14,in the early afternoon,39,\"Kinsley, Avery, Piper, Claire\"\ne8805,2015/10/14,in the late afternoon,19,\"Nevaeh, Lydia, Piper\"\ne8811,2015/10/15,late in the evening,53,Kinsley\ne8819,2015/10/17,in the early evening,6,\"Kinsley, Nora, Piper, Claire\"\ne8823,2015/10/18,late in the evening,47,\"Kinsley, Nora\"\ne8824,2015/10/18,late in the evening,13,\"Hazel, Piper, Rylee, Piper\"\ne8827,2015/10/19,during lunch hours,49,\"Piper, Claire\"\ne8839,2015/10/24,late in the evening,22,Eva\ne8842,2015/10/25,in the morning,24,\"Nora, Rylee, Nevaeh\"\ne8843,2015/10/25,in the late afternoon,16,\"Avery, Claire, Layla\"\ne8845,2015/10/26,during lunch hours,34,\"Olivia, Rylee\"\ne8851,2015/10/27,during lunch hours,36,\"Avery, Piper, Eva\"\ne8855,2015/10/29,in the early afternoon,29,Lydia\ne8858,2015/10/30,in the early afternoon,29,Nora\ne8867,2015/11/02,late in the evening,19,\"Lydia, Olivia, Rylee\"\ne8871,2015/11/03,during lunch hours,9,Eva\ne8875,2015/11/04,during lunch hours,28,\"Nora, Claire\"\ne8880,2015/11/05,during lunch hours,25,\"Claire, Rylee\"\ne8892,2015/11/08,late in the evening,31,Claire\ne8896,2015/11/09,in the late afternoon,31,\"Eva, Lydia, Piper\"\ne8904,2015/11/12,in the morning,15,Nora\ne8905,2015/11/12,in the late afternoon,24,Rylee\ne8914,2015/11/14,in the late afternoon,9,\"Lydia, Nora, Layla\"\ne8915,2015/11/14,in the morning,14,\"Avery, Olivia, Piper\"\ne8920,2015/11/16,in the late afternoon,12,\"Hazel, Kinsley, Eva\"\ne8927,2015/11/18,during lunch hours,46,\"Claire, Rylee, Kinsley, Piper\"\ne8935,2015/11/20,in the late afternoon,13,\"Layla, Piper, Kinsley, Hazel\"\ne8936,2015/11/20,in the late afternoon,48,\"Eva, Claire, Hazel, Avery\"\ne8940,2015/11/21,late in the evening,17,\"Claire, Avery, Nora, Lydia\"\ne8943,2015/11/22,in the late afternoon,19,Piper\ne8946,2015/11/23,in the early afternoon,42,\"Hazel, Kinsley, Eva, Avery\"\ne8951,2015/11/24,late in the evening,12,\"Eva, Piper, Hazel\"\ne8952,2015/11/24,in the late afternoon,15,\"Eva, Kinsley\"\ne8964,2015/11/28,late in the evening,10,Claire\ne8969,2015/11/29,in the morning,38,\"Kinsley, Piper, Lydia\"\ne8974,2015/12/01,in the morning,7,\"Piper, Nevaeh, Piper, Lydia\"\ne8975,2015/12/01,during lunch hours,35,Olivia\ne8985,2015/12/04,in the morning,44,Hazel\ne8991,2015/12/05,in the morning,50,\"Kinsley, Nora, Claire\"\ne8992,2015/12/05,during lunch hours,11,\"Nevaeh, Kinsley\"\ne8994,2015/12/06,in the morning,41,\"Claire, Olivia\"\ne8999,2015/12/07,in the early evening,29,\"Piper, Kinsley\"\ne9000,2015/12/07,in the morning,9,Lydia\ne9004,2015/12/08,during lunch hours,33,\"Kinsley, Nora\"\ne9009,2015/12/09,in the morning,7,\"Avery, Olivia, Layla, Kinsley\"\ne9018,2015/12/13,in the morning,27,Eva\ne9021,2015/12/14,in the early afternoon,42,\"Eva, Olivia, Rylee\"\ne9022,2015/12/14,in the morning,16,\"Olivia, Piper\"\ne9030,2015/12/16,in the early evening,37,\"Nora, Kinsley\"\ne9035,2015/12/19,in the early afternoon,41,\"Piper, Eva, Nora\"\ne9036,2015/12/19,during lunch hours,14,\"Hazel, Piper, Rylee\"\ne9042,2015/12/20,in the late afternoon,16,\"Layla, Hazel, Piper, Piper\"\ne9043,2015/12/21,during lunch hours,52,\"Rylee, Kinsley\"\ne9046,2015/12/22,late in the evening,26,Piper\ne9047,2015/12/22,in the early evening,23,\"Hazel, Nora, Piper, Avery\"\ne9052,2015/12/23,in the morning,52,\"Nora, Claire, Piper\"\ne9060,2015/12/25,in the early evening,51,\"Layla, Rylee, Claire\"\ne9061,2015/12/25,in the early afternoon,7,\"Kinsley, Nevaeh, Lydia, Rylee\"\ne9065,2015/12/26,in the late afternoon,25,Rylee\ne9068,2015/12/27,in the morning,19,\"Claire, Layla\"\ne9069,2015/12/27,in the early evening,9,\"Piper, Nora\"\ne9073,2015/12/28,in the late afternoon,48,\"Layla, Avery\"\ne9085,2015/12/31,in the early evening,12,Rylee\ne9086,2015/12/31,during lunch hours,27,\"Piper, Layla, Kinsley, Olivia\"\ne9239,2016/01/03,in the early evening,17,\"Rylee, Nora, Layla, Avery\"\ne9241,2016/01/04,late in the evening,32,\"Rylee, Lydia\"\ne9244,2016/01/05,late in the evening,21,\"Piper, Avery\"\ne9248,2016/01/06,in the early evening,27,Lydia\ne9253,2016/01/07,in the morning,42,Layla\ne9269,2016/01/12,in the early afternoon,34,Nevaeh\ne9274,2016/01/13,in the late afternoon,15,\"Avery, Lydia\"\ne9279,2016/01/15,in the early afternoon,36,Hazel\ne9280,2016/01/15,in the early afternoon,36,Nevaeh\ne9289,2016/01/18,in the morning,7,\"Lydia, Claire, Olivia, Nevaeh\"\ne9291,2016/01/19,in the early afternoon,47,\"Piper, Eva, Kinsley, Layla\"\ne9300,2016/01/21,late in the evening,12,\"Piper, Nevaeh\"\ne9309,2016/01/23,late in the evening,29,\"Claire, Lydia, Hazel, Avery\"\ne9314,2016/01/25,in the late afternoon,43,\"Rylee, Olivia, Piper, Avery\"\ne9317,2016/01/26,in the late afternoon,23,\"Avery, Eva, Nora, Rylee\"\ne9318,2016/01/26,in the early evening,25,Nora\ne9327,2016/01/28,in the late afternoon,34,\"Nevaeh, Hazel\"\ne9332,2016/01/29,late in the evening,18,\"Piper, Eva, Avery\"\ne9339,2016/01/30,late in the evening,22,Olivia\ne9340,2016/01/30,during lunch hours,55,\"Claire, Layla, Piper\"\ne9349,2016/02/02,in the late afternoon,30,Avery\ne9354,2016/02/03,in the early evening,19,Kinsley\ne9361,2016/02/04,during lunch hours,54,\"Claire, Nora, Kinsley\"\ne9365,2016/02/05,late in the evening,45,\"Claire, Rylee, Hazel, Eva\"\ne9367,2016/02/06,in the late afternoon,10,Piper\ne9371,2016/02/07,in the morning,55,\"Piper, Kinsley\"\ne9372,2016/02/07,in the morning,35,\"Eva, Layla, Rylee, Nora\"\ne9375,2016/02/08,late in the evening,31,Olivia\ne9381,2016/02/09,in the morning,9,Nevaeh\ne9382,2016/02/09,in the early evening,14,Kinsley\ne9386,2016/02/10,during lunch hours,55,\"Rylee, Kinsley, Nevaeh, Eva\"\ne9393,2016/02/13,in the late afternoon,16,\"Piper, Nora, Rylee\"\ne9394,2016/02/13,during lunch hours,19,\"Nevaeh, Layla, Kinsley\"\ne9398,2016/02/14,in the early evening,7,\"Nora, Piper, Claire, Layla\"\ne9399,2016/02/14,in the early afternoon,25,\"Avery, Kinsley, Nora\"\ne9403,2016/02/15,in the late afternoon,55,\"Olivia, Piper\"\ne9404,2016/02/15,in the late afternoon,36,Piper\ne9410,2016/02/18,in the early evening,22,Nora\ne9419,2016/02/21,in the early afternoon,26,\"Layla, Piper\"\ne9422,2016/02/23,in the morning,13,\"Olivia, Nora\"\ne9425,2016/02/24,late in the evening,34,\"Piper, Nevaeh, Kinsley\"\ne9427,2016/02/25,in the late afternoon,20,\"Eva, Hazel, Kinsley\"\ne9432,2016/02/27,late in the evening,37,\"Nevaeh, Lydia, Rylee\"\ne9437,2016/02/28,in the early evening,28,Piper\ne9439,2016/02/29,in the late afternoon,52,Piper\ne9443,2016/03/01,in the early afternoon,53,Hazel\ne9446,2016/03/02,in the early afternoon,36,\"Piper, Rylee, Lydia\"\ne9449,2016/03/03,in the early afternoon,51,Nora\ne9459,2016/03/06,during lunch hours,23,\"Lydia, Layla, Hazel, Eva\"\ne9465,2016/03/08,in the early evening,19,\"Avery, Olivia, Hazel, Lydia\"\ne9466,2016/03/08,in the early afternoon,9,\"Hazel, Eva\"\ne9469,2016/03/09,in the early afternoon,6,\"Claire, Nora, Olivia, Eva\"\ne9472,2016/03/10,in the morning,21,\"Hazel, Lydia\"\ne9476,2016/03/11,during lunch hours,41,\"Rylee, Nevaeh, Lydia\"\ne9481,2016/03/12,during lunch hours,50,\"Layla, Avery, Nevaeh, Hazel\"\ne9486,2016/03/13,during lunch hours,49,\"Hazel, Lydia, Eva\"\ne9492,2016/03/15,in the late afternoon,10,\"Olivia, Eva\"\ne9493,2016/03/15,in the early evening,19,\"Piper, Hazel, Claire, Layla\"\ne9497,2016/03/17,in the early evening,16,\"Olivia, Eva, Piper\"\ne9501,2016/03/18,in the morning,17,\"Nora, Piper\"\ne9502,2016/03/18,during lunch hours,8,\"Claire, Avery, Rylee, Hazel\"\ne9506,2016/03/19,in the late afternoon,9,\"Nora, Eva\"\ne9511,2016/03/20,in the early evening,9,\"Nora, Hazel, Claire, Avery\"\ne9517,2016/03/22,in the early evening,48,Nevaeh\ne9521,2016/03/23,in the late afternoon,39,\"Kinsley, Hazel, Layla, Lydia\"\ne9524,2016/03/24,during lunch hours,55,\"Claire, Kinsley\"\ne9528,2016/03/25,in the late afternoon,18,\"Kinsley, Lydia, Piper\"\ne9532,2016/03/26,during lunch hours,20,Claire\ne9539,2016/03/27,in the late afternoon,8,\"Kinsley, Olivia, Nevaeh, Piper\"\ne9540,2016/03/27,in the early afternoon,22,\"Claire, Olivia, Kinsley\"\ne9543,2016/03/28,late in the evening,37,\"Claire, Layla\"\ne9548,2016/03/29,in the late afternoon,7,\"Nevaeh, Eva\"\ne9550,2016/03/30,in the early afternoon,55,\"Eva, Layla, Olivia\"\ne9556,2016/03/31,in the late afternoon,21,\"Lydia, Nora\"\ne9560,2016/04/01,in the early evening,28,Eva\ne9566,2016/04/02,in the early evening,15,Claire\ne9571,2016/04/03,in the late afternoon,46,\"Piper, Nora, Hazel\"\ne9580,2016/04/05,in the early afternoon,22,\"Claire, Piper, Hazel\"\ne9581,2016/04/05,in the late afternoon,27,\"Piper, Rylee, Nora, Layla\"\ne9585,2016/04/06,during lunch hours,11,\"Rylee, Eva\"\ne9587,2016/04/07,in the morning,11,\"Eva, Lydia\"\ne9595,2016/04/09,during lunch hours,48,\"Kinsley, Lydia\"\ne9596,2016/04/09,in the morning,17,\"Piper, Kinsley, Hazel, Avery\"\ne9605,2016/04/12,in the morning,18,\"Avery, Olivia\"\ne9608,2016/04/13,in the early afternoon,8,\"Lydia, Claire, Kinsley\"\ne9613,2016/04/14,in the early afternoon,12,\"Nevaeh, Hazel\"\ne9617,2016/04/16,in the early afternoon,22,\"Nora, Rylee, Claire, Olivia\"\ne9621,2016/04/18,late in the evening,22,\"Eva, Kinsley\"\ne9625,2016/04/19,during lunch hours,51,Kinsley\ne9626,2016/04/19,in the early evening,30,\"Layla, Avery, Piper\"\ne9630,2016/04/20,in the morning,7,\"Claire, Nevaeh\"\ne9633,2016/04/21,during lunch hours,8,\"Nora, Rylee\"\ne9643,2016/04/23,in the early evening,16,Layla\ne9644,2016/04/23,late in the evening,8,\"Nevaeh, Piper\"\ne9648,2016/04/24,in the morning,43,Piper\ne9651,2016/04/25,in the early evening,41,Piper\ne9655,2016/04/26,in the morning,11,\"Claire, Layla, Eva, Hazel\"\ne9660,2016/04/27,in the early evening,9,Eva\ne9661,2016/04/27,late in the evening,9,\"Rylee, Piper, Claire\"\ne9669,2016/04/29,in the late afternoon,23,\"Eva, Nora, Nevaeh, Claire\"\ne9672,2016/04/30,in the late afternoon,17,\"Layla, Piper, Rylee\"\ne9678,2016/05/01,during lunch hours,24,Nora\ne9679,2016/05/01,in the early afternoon,47,\"Piper, Eva\"\ne9686,2016/05/03,in the early afternoon,24,Piper\ne9688,2016/05/04,in the early evening,25,\"Avery, Eva, Rylee\"\ne9697,2016/05/06,in the early afternoon,22,\"Piper, Lydia, Piper, Nevaeh\"\ne9698,2016/05/06,in the early evening,23,Olivia\ne9706,2016/05/08,in the morning,40,\"Eva, Olivia\"\ne9715,2016/05/11,in the early evening,46,\"Hazel, Avery\"\ne9721,2016/05/12,in the late afternoon,5,\"Rylee, Nevaeh, Avery\"\ne9724,2016/05/13,late in the evening,10,\"Avery, Nora, Rylee, Claire\"\ne9725,2016/05/13,in the morning,5,\"Nora, Rylee\"\ne9730,2016/05/14,during lunch hours,24,Olivia\ne9734,2016/05/15,in the morning,19,\"Piper, Rylee, Nevaeh\"\ne9740,2016/05/17,late in the evening,55,\"Nora, Piper, Avery\"\ne9741,2016/05/17,in the morning,54,\"Avery, Hazel, Nora\"\ne9745,2016/05/18,in the early afternoon,13,\"Kinsley, Piper, Nevaeh, Eva\"\ne9754,2016/05/21,during lunch hours,32,\"Rylee, Nora, Olivia, Hazel\"\ne9757,2016/05/22,in the early afternoon,37,\"Hazel, Piper, Nevaeh, Olivia\"\ne9762,2016/05/24,in the early afternoon,29,Lydia\ne9763,2016/05/24,in the late afternoon,53,\"Avery, Eva\"\ne9767,2016/05/26,late in the evening,18,Rylee\ne9777,2016/05/29,during lunch hours,6,\"Eva, Lydia\"\ne9778,2016/05/29,in the morning,38,\"Claire, Piper\"\ne9783,2016/05/30,in the early evening,44,\"Hazel, Avery, Lydia\"\ne9785,2016/05/31,in the early afternoon,13,\"Rylee, Eva\"\ne9788,2016/06/01,in the late afternoon,31,\"Nora, Claire, Eva\"\ne9789,2016/06/01,in the early evening,5,Nora\ne9797,2016/06/03,in the early afternoon,42,Nora\ne9798,2016/06/03,in the early afternoon,51,Piper\ne9802,2016/06/04,in the early afternoon,33,Hazel\ne9804,2016/06/05,in the morning,47,Piper\ne9815,2016/06/08,in the early evening,37,\"Rylee, Lydia\"\ne9821,2016/06/10,late in the evening,42,\"Kinsley, Lydia, Rylee\"\ne9825,2016/06/11,in the early evening,47,\"Kinsley, Rylee\"\ne9830,2016/06/13,in the morning,10,Layla\ne9831,2016/06/13,in the late afternoon,26,\"Olivia, Avery, Rylee, Hazel\"\ne9836,2016/06/14,in the morning,48,\"Hazel, Claire\"\ne9837,2016/06/14,in the morning,49,\"Layla, Eva, Nevaeh, Piper\"\ne9839,2016/06/15,in the early evening,40,\"Nevaeh, Kinsley\"\ne9844,2016/06/16,in the late afternoon,41,\"Avery, Nevaeh, Layla\"\ne9847,2016/06/17,late in the evening,38,\"Hazel, Lydia\"\ne9851,2016/06/18,late in the evening,23,Nevaeh\ne9855,2016/06/19,during lunch hours,27,Olivia\ne9859,2016/06/20,in the early evening,25,\"Eva, Nora, Piper, Avery\"\ne9871,2016/06/24,in the early afternoon,16,Hazel\ne9883,2016/06/27,late in the evening,37,\"Lydia, Piper\"\ne9891,2016/06/29,during lunch hours,18,\"Piper, Layla, Avery, Kinsley\"\ne9892,2016/06/29,during lunch hours,23,\"Claire, Olivia, Piper\"\ne9901,2016/07/02,in the morning,5,\"Lydia, Rylee, Piper, Layla\"\ne9905,2016/07/03,during lunch hours,12,\"Rylee, Lydia, Layla, Avery\"\ne9910,2016/07/05,in the late afternoon,33,\"Layla, Hazel\"\ne9911,2016/07/05,in the early evening,24,\"Nora, Rylee, Eva\"\ne9916,2016/07/06,in the late afternoon,40,Piper\ne9920,2016/07/07,in the early evening,10,Kinsley\ne9924,2016/07/08,in the early evening,19,\"Piper, Lydia\"\ne9933,2016/07/10,in the late afternoon,47,\"Nevaeh, Nora, Olivia\"\ne9940,2016/07/12,in the late afternoon,7,\"Piper, Kinsley\"\ne9949,2016/07/14,in the morning,6,\"Eva, Rylee\"\ne9952,2016/07/15,during lunch hours,37,\"Layla, Nevaeh, Lydia\"\ne9957,2016/07/16,during lunch hours,14,Eva\ne9960,2016/07/17,in the early afternoon,54,\"Piper, Hazel, Avery, Nevaeh\"\ne9965,2016/07/18,in the early afternoon,23,\"Olivia, Lydia\"\ne9966,2016/07/18,in the late afternoon,55,\"Hazel, Kinsley\"\ne9976,2016/07/20,in the late afternoon,37,\"Olivia, Nevaeh, Layla, Rylee\"\ne9979,2016/07/21,in the morning,41,Piper\ne9980,2016/07/21,in the early evening,50,\"Piper, Avery, Lydia, Eva\"\ne9983,2016/07/22,in the morning,19,\"Kinsley, Piper\"\ne9991,2016/07/24,in the morning,51,\"Claire, Piper\"\ne9999,2016/07/26,in the morning,20,\"Piper, Piper\"\ne10004,2016/07/28,in the early evening,39,\"Layla, Lydia, Kinsley\"\ne10008,2016/07/29,in the late afternoon,53,Nora\ne10014,2016/07/31,in the early afternoon,25,\"Lydia, Piper\"\ne10023,2016/08/02,in the late afternoon,31,\"Lydia, Eva, Nevaeh, Avery\"\ne10029,2016/08/03,in the early evening,48,Claire\ne10036,2016/08/06,late in the evening,47,Layla\ne10040,2016/08/07,late in the evening,45,\"Piper, Piper\"\ne10044,2016/08/08,during lunch hours,26,\"Eva, Avery, Layla\"\ne10049,2016/08/09,late in the evening,24,\"Kinsley, Rylee\"\ne10050,2016/08/09,during lunch hours,32,Hazel\ne10053,2016/08/10,during lunch hours,53,\"Piper, Hazel, Layla, Rylee\"\ne10058,2016/08/11,during lunch hours,18,\"Piper, Nora, Rylee\"\ne10059,2016/08/11,in the early evening,36,\"Nora, Piper, Eva, Piper\"\ne10064,2016/08/12,late in the evening,14,\"Piper, Avery\"\ne10069,2016/08/13,in the early afternoon,55,\"Piper, Claire, Rylee\"\ne10073,2016/08/15,in the morning,53,\"Avery, Lydia\"\ne10084,2016/08/18,in the late afternoon,31,\"Nora, Claire, Avery, Lydia\"\ne10085,2016/08/18,during lunch hours,37,\"Nevaeh, Layla\"\ne10090,2016/08/19,during lunch hours,31,\"Nora, Lydia, Hazel, Avery\"\ne10091,2016/08/19,in the late afternoon,46,\"Nevaeh, Olivia, Nora\"\ne10094,2016/08/20,late in the evening,28,\"Layla, Avery\"\ne10102,2016/08/22,in the late afternoon,32,Rylee\ne10103,2016/08/22,in the early afternoon,40,Lydia\ne10107,2016/08/23,during lunch hours,24,\"Eva, Nora, Nevaeh, Lydia\"\ne10117,2016/08/26,during lunch hours,24,\"Eva, Olivia, Nevaeh\"\ne10119,2016/08/27,late in the evening,47,\"Kinsley, Lydia, Piper, Layla\"\ne10123,2016/08/28,late in the evening,18,\"Avery, Nevaeh, Kinsley, Piper\"\ne10130,2016/08/29,during lunch hours,8,\"Layla, Avery, Kinsley\"\ne10137,2016/08/30,late in the evening,46,\"Avery, Piper\"\ne10142,2016/08/31,in the morning,35,Olivia\ne10146,2016/09/01,during lunch hours,9,\"Claire, Piper, Nora, Piper\"\ne10152,2016/09/03,in the early afternoon,49,Layla\ne10157,2016/09/04,in the early afternoon,14,\"Layla, Eva\"\ne10168,2016/09/07,late in the evening,48,\"Layla, Rylee, Nevaeh, Claire\"\ne10173,2016/09/08,in the early evening,25,\"Eva, Avery, Nevaeh, Olivia\"\ne10174,2016/09/08,in the early afternoon,8,\"Rylee, Kinsley\"\ne10177,2016/09/09,in the early afternoon,51,\"Piper, Olivia, Piper, Eva\"\ne10183,2016/09/10,in the early evening,36,Layla\ne10184,2016/09/10,in the late afternoon,11,\"Lydia, Claire, Nevaeh\"\ne10187,2016/09/11,in the morning,43,\"Avery, Eva, Kinsley\"\ne10191,2016/09/12,in the morning,27,Layla\ne10194,2016/09/13,in the early evening,6,\"Eva, Rylee\"\ne10204,2016/09/15,during lunch hours,21,\"Piper, Olivia, Avery, Claire\"\ne10208,2016/09/16,in the morning,23,\"Claire, Olivia\"\ne10216,2016/09/19,in the morning,40,\"Olivia, Piper, Layla\"\ne10219,2016/09/20,in the early afternoon,33,\"Hazel, Avery, Piper, Lydia\"\ne10227,2016/09/22,in the early evening,46,\"Layla, Hazel\"\ne10229,2016/09/23,late in the evening,53,\"Claire, Piper\"\ne10235,2016/09/24,in the early evening,41,Olivia\ne10238,2016/09/25,during lunch hours,46,\"Kinsley, Eva\"\ne10243,2016/09/26,late in the evening,13,Layla\ne10244,2016/09/26,in the early afternoon,9,\"Piper, Lydia, Piper, Claire\"\ne10252,2016/09/29,late in the evening,21,\"Nevaeh, Lydia, Claire, Nora\"\ne10253,2016/09/29,late in the evening,28,Eva\ne10257,2016/09/30,during lunch hours,25,\"Nora, Nevaeh\"\ne10258,2016/09/30,in the early evening,31,\"Eva, Olivia\"\ne10261,2016/10/01,in the late afternoon,50,Hazel\ne10262,2016/10/01,in the late afternoon,5,Rylee\ne10265,2016/10/02,in the morning,12,\"Layla, Nevaeh, Piper, Rylee\"\ne10275,2016/10/04,in the late afternoon,41,\"Claire, Avery\"\ne10281,2016/10/05,in the early afternoon,32,\"Avery, Piper, Rylee\"\ne10289,2016/10/07,in the morning,37,\"Layla, Hazel, Rylee, Nora\"\ne10290,2016/10/07,in the early afternoon,22,\"Rylee, Nevaeh, Eva\"\ne10293,2016/10/08,in the early afternoon,25,\"Olivia, Piper, Layla, Nora\"\ne10298,2016/10/09,in the morning,13,\"Lydia, Hazel, Layla\"\ne10302,2016/10/10,in the morning,38,\"Piper, Lydia, Hazel\"\ne10303,2016/10/10,during lunch hours,42,\"Avery, Piper, Lydia, Kinsley\"\ne10306,2016/10/11,in the morning,51,Layla\ne10311,2016/10/12,in the morning,32,\"Hazel, Piper, Nevaeh, Piper\"\ne10314,2016/10/13,late in the evening,36,Avery\ne10317,2016/10/14,in the morning,52,\"Nevaeh, Kinsley, Rylee, Eva\"\ne10321,2016/10/15,in the early evening,51,\"Avery, Eva\"\ne10325,2016/10/16,in the morning,36,\"Piper, Avery, Eva\"\ne10330,2016/10/17,in the early afternoon,7,\"Eva, Hazel\"\ne10331,2016/10/18,in the early evening,30,Lydia\ne10334,2016/10/19,in the early afternoon,50,\"Claire, Avery\"\ne10340,2016/10/20,in the late afternoon,10,\"Rylee, Eva\"\ne10341,2016/10/20,in the late afternoon,20,Rylee\ne10345,2016/10/21,late in the evening,10,\"Piper, Avery, Piper\"\ne10346,2016/10/21,in the morning,52,Olivia\ne10354,2016/10/23,in the early evening,15,\"Layla, Nora, Nevaeh\"\ne10364,2016/10/25,in the early evening,28,\"Claire, Layla, Kinsley\"\ne10365,2016/10/25,in the morning,41,\"Nora, Claire\"\ne10373,2016/10/27,in the morning,51,Nora\ne10374,2016/10/27,in the late afternoon,23,\"Olivia, Nevaeh\"\ne10379,2016/10/28,during lunch hours,46,\"Nevaeh, Lydia\"\ne10385,2016/10/29,in the late afternoon,45,\"Eva, Kinsley, Lydia, Nora\"\ne10389,2016/10/30,in the late afternoon,12,\"Layla, Kinsley\"\ne10396,2016/11/01,in the morning,12,\"Piper, Avery\"\ne10402,2016/11/02,in the early afternoon,8,\"Avery, Eva, Claire, Lydia\"\ne10406,2016/11/03,in the morning,15,\"Avery, Piper, Nevaeh, Eva\"\ne10411,2016/11/04,during lunch hours,14,\"Lydia, Piper, Nora, Eva\"\ne10416,2016/11/05,during lunch hours,30,Lydia\ne10417,2016/11/05,late in the evening,26,\"Nora, Olivia, Rylee, Avery\"\ne10426,2016/11/08,late in the evening,15,Claire\ne10429,2016/11/09,in the early afternoon,53,Nora\ne10436,2016/11/10,in the morning,30,\"Kinsley, Nora, Rylee, Piper\"\ne10440,2016/11/11,during lunch hours,26,\"Claire, Rylee, Nora, Hazel\"\ne10449,2016/11/13,in the late afternoon,13,Claire\ne10450,2016/11/13,late in the evening,44,\"Nora, Eva, Kinsley, Nevaeh\"\ne10455,2016/11/15,in the late afternoon,6,\"Claire, Avery, Eva, Layla\"\ne10462,2016/11/16,in the morning,42,\"Nevaeh, Piper, Lydia, Avery\"\ne10468,2016/11/17,late in the evening,25,\"Kinsley, Lydia, Piper, Avery\"\ne10472,2016/11/18,late in the evening,49,\"Eva, Nevaeh, Piper\"\ne10479,2016/11/20,late in the evening,47,\"Kinsley, Layla\"\ne10487,2016/11/22,in the late afternoon,9,\"Olivia, Rylee, Lydia\"\ne10488,2016/11/22,late in the evening,49,Claire\ne10493,2016/11/23,in the late afternoon,5,\"Eva, Layla, Rylee, Piper\"\ne10494,2016/11/23,during lunch hours,31,\"Eva, Piper, Lydia\"\ne10504,2016/11/26,late in the evening,8,Hazel\ne10511,2016/11/28,in the morning,6,\"Nora, Claire, Rylee\"\ne10512,2016/11/28,late in the evening,50,\"Nevaeh, Piper, Lydia\"\ne10518,2016/11/29,in the morning,51,\"Piper, Lydia\"\ne10520,2016/11/30,in the morning,12,\"Olivia, Piper, Layla, Rylee\"\ne10521,2016/11/30,in the early afternoon,31,Rylee\ne10528,2016/12/02,during lunch hours,16,\"Kinsley, Nevaeh\"\ne10529,2016/12/02,in the early afternoon,34,\"Claire, Lydia\"\ne10533,2016/12/03,during lunch hours,55,Olivia\ne10542,2016/12/05,late in the evening,10,\"Eva, Lydia, Nora, Claire\"\ne10543,2016/12/05,late in the evening,53,Eva\ne10548,2016/12/07,during lunch hours,28,Piper\ne10560,2016/12/10,in the early evening,6,\"Hazel, Lydia, Kinsley\"\ne10561,2016/12/10,in the early afternoon,29,\"Layla, Piper, Olivia, Nora\"\ne10564,2016/12/11,in the late afternoon,7,\"Nevaeh, Layla, Piper, Eva\"\ne10570,2016/12/12,in the late afternoon,53,\"Nevaeh, Layla, Kinsley\"\ne10575,2016/12/13,during lunch hours,38,Eva\ne10579,2016/12/14,in the morning,8,\"Claire, Rylee, Lydia\"\ne10585,2016/12/15,in the morning,36,\"Olivia, Lydia, Avery\"\ne10596,2016/12/18,in the morning,13,Eva\ne10604,2016/12/20,in the morning,10,\"Olivia, Eva, Hazel, Kinsley\"\ne10609,2016/12/21,during lunch hours,21,\"Layla, Nora, Kinsley\"\ne10610,2016/12/21,in the morning,17,\"Avery, Hazel, Piper, Rylee\"\ne10617,2016/12/23,in the late afternoon,27,\"Layla, Olivia, Piper\"\ne10622,2016/12/24,in the late afternoon,30,\"Eva, Piper, Nora\"\ne10628,2016/12/26,during lunch hours,7,\"Avery, Piper, Nora, Kinsley\"\ne10629,2016/12/26,during lunch hours,46,\"Rylee, Lydia, Olivia\"\ne10642,2016/12/30,in the late afternoon,51,\"Kinsley, Hazel\"\ne10645,2016/12/31,in the morning,18,\"Nora, Kinsley\"\ne10787,2017/01/01,in the morning,41,Nevaeh\ne10791,2017/01/02,in the morning,34,\"Eva, Nora, Kinsley\"\ne10803,2017/01/06,in the morning,13,\"Nora, Kinsley, Claire, Eva\"\ne10811,2017/01/08,late in the evening,35,\"Piper, Rylee, Claire\"\ne10813,2017/01/09,in the morning,48,\"Piper, Avery, Eva, Claire\"\ne10817,2017/01/10,in the morning,52,\"Nora, Piper\"\ne10818,2017/01/10,in the early evening,46,\"Rylee, Lydia, Eva, Layla\"\ne10823,2017/01/11,in the late afternoon,33,\"Kinsley, Layla, Eva, Rylee\"\ne10831,2017/01/13,late in the evening,46,Piper\ne10853,2017/01/19,in the early evening,27,\"Layla, Piper, Olivia\"\ne10856,2017/01/20,during lunch hours,53,\"Hazel, Kinsley\"\ne10867,2017/01/23,late in the evening,10,\"Eva, Claire\"\ne10875,2017/01/25,late in the evening,46,\"Kinsley, Rylee\"\ne10883,2017/01/27,during lunch hours,21,\"Claire, Lydia, Rylee\"\ne10887,2017/01/28,in the late afternoon,12,\"Olivia, Eva, Hazel\"\ne10888,2017/01/28,in the early afternoon,32,\"Nora, Eva, Nevaeh, Layla\"\ne10894,2017/01/29,in the morning,31,\"Claire, Lydia, Piper, Hazel\"\ne10895,2017/01/29,in the early evening,55,\"Kinsley, Piper, Rylee, Eva\"\ne10899,2017/01/30,late in the evening,39,\"Lydia, Piper, Kinsley, Layla\"\ne10902,2017/01/31,in the late afternoon,43,\"Piper, Kinsley, Hazel\"\ne10908,2017/02/02,in the early afternoon,11,\"Olivia, Layla, Eva\"\ne10913,2017/02/03,during lunch hours,26,\"Nevaeh, Hazel, Nora\"\ne10916,2017/02/04,in the late afternoon,29,Piper\ne10929,2017/02/07,in the morning,36,Piper\ne10932,2017/02/08,during lunch hours,50,\"Nevaeh, Layla, Claire\"\ne10943,2017/02/11,in the early evening,17,\"Avery, Nora\"\ne10951,2017/02/13,in the morning,30,\"Olivia, Kinsley, Rylee, Eva\"\ne10954,2017/02/14,in the late afternoon,34,\"Layla, Hazel, Piper, Rylee\"\ne10957,2017/02/15,late in the evening,29,Eva\ne10962,2017/02/16,in the early evening,20,\"Olivia, Piper, Layla, Hazel\"\ne10966,2017/02/17,in the morning,31,\"Rylee, Kinsley, Olivia\"\ne10976,2017/02/20,late in the evening,34,Olivia\ne10985,2017/02/22,in the morning,9,Nora\ne10986,2017/02/22,in the late afternoon,54,Hazel\ne10995,2017/02/26,in the early afternoon,54,\"Eva, Hazel, Nevaeh\"\ne10998,2017/02/27,in the late afternoon,17,\"Piper, Nevaeh, Avery\"\ne11000,2017/02/28,during lunch hours,9,\"Eva, Nora\"\ne11003,2017/03/01,in the early afternoon,22,\"Nora, Lydia\"\ne11009,2017/03/02,in the early afternoon,44,\"Avery, Claire\"\ne11012,2017/03/03,in the early evening,18,Piper\ne11016,2017/03/05,in the early afternoon,32,\"Lydia, Nevaeh, Avery\"\ne11017,2017/03/05,in the early evening,24,\"Eva, Avery, Hazel, Claire\"\ne11021,2017/03/06,in the late afternoon,44,\"Hazel, Nora, Piper, Kinsley\"\ne11022,2017/03/06,in the morning,49,\"Layla, Hazel, Eva, Rylee\"\ne11027,2017/03/07,late in the evening,31,\"Rylee, Claire, Lydia\"\ne11034,2017/03/09,during lunch hours,23,\"Eva, Layla\"\ne11038,2017/03/10,in the early evening,37,Claire\ne11042,2017/03/11,in the morning,9,\"Kinsley, Nevaeh\"\ne11048,2017/03/12,late in the evening,55,\"Rylee, Olivia, Kinsley, Claire\"\ne11052,2017/03/13,in the early afternoon,54,\"Piper, Nevaeh, Kinsley\"\ne11054,2017/03/14,in the morning,40,\"Kinsley, Rylee, Avery, Nora\"\ne11055,2017/03/14,in the early afternoon,12,\"Piper, Nevaeh\"\ne11060,2017/03/15,late in the evening,25,\"Rylee, Nora\"\ne11063,2017/03/16,in the early afternoon,30,\"Piper, Piper, Olivia, Eva\"\ne11066,2017/03/17,in the late afternoon,7,Layla\ne11072,2017/03/18,in the late afternoon,36,Hazel\ne11073,2017/03/18,during lunch hours,48,\"Rylee, Eva\"\ne11076,2017/03/19,in the late afternoon,42,\"Nevaeh, Claire, Avery, Olivia\"\ne11081,2017/03/21,in the late afternoon,26,\"Kinsley, Nora\"\ne11090,2017/03/24,late in the evening,31,\"Nevaeh, Avery\"\ne11097,2017/03/26,in the early evening,35,\"Eva, Piper, Nevaeh, Olivia\"\ne11101,2017/03/27,during lunch hours,33,\"Hazel, Layla\"\ne11102,2017/03/27,in the early evening,27,\"Claire, Layla\"\ne11106,2017/03/28,in the late afternoon,19,Claire\ne11107,2017/03/28,in the early afternoon,51,\"Piper, Kinsley, Avery, Olivia\"\ne11110,2017/03/29,in the morning,9,\"Kinsley, Piper\"\ne11115,2017/03/30,in the morning,34,Layla\ne11120,2017/03/31,in the early evening,33,Piper\ne11135,2017/04/05,in the early afternoon,12,\"Rylee, Layla, Nora, Piper\"\ne11136,2017/04/05,in the late afternoon,29,\"Avery, Hazel\"\ne11144,2017/04/07,in the late afternoon,53,\"Olivia, Claire\"\ne11147,2017/04/08,late in the evening,31,\"Claire, Lydia\"\ne11150,2017/04/10,during lunch hours,20,Piper\ne11151,2017/04/10,late in the evening,6,\"Eva, Piper\"\ne11155,2017/04/11,in the morning,43,Avery\ne11163,2017/04/13,in the early evening,39,\"Rylee, Olivia\"\ne11168,2017/04/14,in the early evening,27,\"Eva, Lydia\"\ne11181,2017/04/17,in the early evening,10,\"Nora, Lydia, Piper, Eva\"\ne11193,2017/04/21,in the early evening,37,\"Lydia, Nevaeh\"\ne11198,2017/04/22,during lunch hours,20,\"Eva, Rylee, Lydia\"\ne11204,2017/04/23,in the early evening,28,\"Eva, Lydia\"\ne11207,2017/04/24,in the early afternoon,53,\"Piper, Hazel, Layla\"\ne11208,2017/04/25,during lunch hours,47,\"Lydia, Rylee, Eva\"\ne11212,2017/04/26,late in the evening,47,Piper\ne11216,2017/04/27,late in the evening,21,\"Piper, Eva, Layla, Rylee\"\ne11221,2017/04/28,during lunch hours,6,\"Piper, Eva\"\ne11222,2017/04/28,in the late afternoon,10,Piper\ne11225,2017/04/29,during lunch hours,11,Piper\ne11226,2017/04/29,in the early evening,19,\"Rylee, Nevaeh, Olivia\"\ne11229,2017/04/30,in the morning,47,\"Hazel, Lydia\"\ne11235,2017/05/02,during lunch hours,51,\"Eva, Olivia, Piper, Kinsley\"\ne11240,2017/05/03,in the early evening,14,\"Claire, Hazel\"\ne11241,2017/05/03,in the late afternoon,42,\"Hazel, Claire, Avery, Nevaeh\"\ne11244,2017/05/04,during lunch hours,48,\"Rylee, Nora, Olivia, Nevaeh\"\ne11245,2017/05/04,in the late afternoon,35,Hazel\ne11258,2017/05/09,in the late afternoon,14,\"Lydia, Layla\"\ne11263,2017/05/10,during lunch hours,42,Piper\ne11267,2017/05/11,late in the evening,35,\"Nevaeh, Piper, Hazel, Claire\"\ne11271,2017/05/12,in the early afternoon,46,\"Olivia, Nora, Rylee\"\ne11279,2017/05/14,in the early afternoon,10,\"Avery, Piper\"\ne11282,2017/05/15,during lunch hours,27,\"Nevaeh, Nora, Piper, Olivia\"\ne11292,2017/05/17,late in the evening,32,Nora\ne11296,2017/05/19,in the morning,30,\"Eva, Layla, Kinsley, Claire\"\ne11300,2017/05/20,in the late afternoon,38,Piper\ne11302,2017/05/21,in the morning,28,\"Olivia, Lydia\"\ne11307,2017/05/25,in the early evening,10,\"Layla, Piper\"\ne11310,2017/05/26,in the late afternoon,11,\"Piper, Piper, Hazel\"\ne11311,2017/05/26,during lunch hours,13,\"Olivia, Avery\"\ne11321,2017/05/28,during lunch hours,11,\"Hazel, Claire\"\ne11337,2017/06/01,in the morning,6,\"Layla, Lydia, Olivia\"\ne11342,2017/06/02,late in the evening,21,\"Hazel, Lydia, Claire\"\ne11346,2017/06/03,in the early afternoon,41,\"Piper, Layla, Nevaeh, Kinsley\"\ne11352,2017/06/04,during lunch hours,47,\"Lydia, Hazel, Kinsley, Eva\"\ne11361,2017/06/07,in the early afternoon,9,\"Claire, Kinsley\"\ne11365,2017/06/08,late in the evening,26,\"Claire, Piper, Rylee\"\ne11368,2017/06/09,during lunch hours,29,\"Nora, Claire\"\ne11372,2017/06/10,in the early evening,23,\"Piper, Layla, Olivia, Piper\"\ne11374,2017/06/11,in the late afternoon,29,\"Olivia, Claire\"\ne11375,2017/06/11,in the late afternoon,51,\"Nora, Piper, Nevaeh, Avery\"\ne11393,2017/06/16,in the late afternoon,37,\"Nevaeh, Rylee\"\ne11398,2017/06/17,in the morning,27,Nora\ne11406,2017/06/20,in the early evening,42,\"Nora, Piper\"\ne11407,2017/06/20,in the morning,26,\"Kinsley, Claire\"\ne11413,2017/06/22,in the late afternoon,21,\"Olivia, Layla, Rylee\"\ne11420,2017/06/24,in the morning,9,Kinsley\ne11424,2017/06/25,in the early evening,9,\"Avery, Lydia\"\ne11425,2017/06/25,in the early afternoon,15,Eva\ne11429,2017/06/26,in the early afternoon,28,\"Lydia, Avery\"\ne11431,2017/06/27,during lunch hours,21,\"Piper, Hazel\"\ne11436,2017/06/28,in the early evening,35,\"Nora, Olivia\"\ne11440,2017/06/29,in the early evening,48,\"Kinsley, Piper\"\ne11443,2017/06/30,during lunch hours,9,Rylee\ne11444,2017/06/30,in the early afternoon,34,\"Claire, Kinsley, Piper\"\ne11453,2017/07/02,in the early evening,16,\"Piper, Olivia, Layla, Piper\"\ne11454,2017/07/02,in the early afternoon,11,\"Lydia, Olivia, Piper, Eva\"\ne11459,2017/07/03,in the early evening,37,\"Piper, Layla\"\ne11472,2017/07/06,in the early evening,45,\"Eva, Lydia, Piper\"\ne11480,2017/07/08,in the early afternoon,11,\"Eva, Rylee, Kinsley, Piper\"\ne11483,2017/07/09,late in the evening,30,Olivia\ne11487,2017/07/10,in the early evening,39,\"Avery, Nevaeh, Piper\"\ne11488,2017/07/10,in the early afternoon,48,\"Hazel, Piper, Kinsley\"\ne11497,2017/07/13,during lunch hours,6,Olivia\ne11499,2017/07/14,in the early afternoon,22,\"Piper, Hazel\"\ne11503,2017/07/15,in the early evening,17,Hazel\ne11504,2017/07/15,during lunch hours,14,\"Piper, Kinsley\"\ne11508,2017/07/16,in the early afternoon,47,\"Olivia, Kinsley, Layla\"\ne11512,2017/07/17,in the early evening,15,Avery\ne11516,2017/07/18,late in the evening,25,\"Claire, Lydia, Piper, Olivia\"\ne11526,2017/07/20,in the early afternoon,24,\"Rylee, Nevaeh\"\ne11527,2017/07/20,in the early evening,35,\"Nora, Kinsley, Eva, Nevaeh\"\ne11533,2017/07/21,in the early evening,36,Lydia\ne11537,2017/07/22,during lunch hours,13,\"Lydia, Avery, Rylee, Claire\"\ne11540,2017/07/23,in the morning,37,\"Avery, Claire, Eva, Layla\"\ne11543,2017/07/24,in the early evening,37,Nevaeh\ne11551,2017/07/26,in the early evening,29,\"Claire, Nora, Lydia, Avery\"\ne11552,2017/07/26,in the early evening,17,Hazel\ne11556,2017/07/27,in the early evening,21,\"Nora, Claire\"\ne11557,2017/07/27,during lunch hours,12,\"Rylee, Piper, Eva\"\ne11563,2017/07/29,in the early evening,38,\"Avery, Kinsley, Piper, Eva\"\ne11567,2017/07/30,during lunch hours,38,\"Eva, Lydia, Nora, Layla\"\ne11573,2017/07/31,in the morning,52,\"Hazel, Nevaeh, Layla, Lydia\"\ne11574,2017/07/31,during lunch hours,47,\"Hazel, Avery, Piper, Kinsley\"\ne11578,2017/08/01,in the early afternoon,40,\"Hazel, Nevaeh, Nora\"\ne11579,2017/08/01,late in the evening,45,Hazel\ne11582,2017/08/02,in the early afternoon,7,\"Kinsley, Layla, Nevaeh\"\ne11591,2017/08/05,in the late afternoon,34,\"Lydia, Avery\"\ne11592,2017/08/05,in the early evening,11,\"Avery, Nora, Nevaeh, Layla\"\ne11603,2017/08/09,in the early evening,26,\"Avery, Nora\"\ne11604,2017/08/09,during lunch hours,6,\"Avery, Piper, Rylee, Kinsley\"\ne11613,2017/08/11,late in the evening,37,\"Lydia, Kinsley\"\ne11614,2017/08/11,late in the evening,54,\"Layla, Piper, Olivia\"\ne11619,2017/08/12,in the morning,47,Nora\ne11620,2017/08/12,in the morning,41,\"Hazel, Avery\"\ne11625,2017/08/13,late in the evening,41,\"Rylee, Claire, Eva, Olivia\"\ne11629,2017/08/14,in the morning,25,\"Kinsley, Nora\"\ne11633,2017/08/15,in the early evening,11,\"Claire, Nora, Hazel\"\ne11634,2017/08/15,late in the evening,10,Eva\ne11637,2017/08/16,in the early afternoon,8,\"Nora, Piper\"\ne11642,2017/08/18,in the late afternoon,11,\"Rylee, Olivia, Eva\"\ne11643,2017/08/18,in the early evening,37,\"Layla, Piper\"\ne11648,2017/08/19,during lunch hours,46,\"Kinsley, Piper, Rylee, Claire\"\ne11652,2017/08/20,during lunch hours,25,\"Kinsley, Piper, Claire\"\ne11656,2017/08/21,in the late afternoon,55,\"Nora, Layla, Eva\"\ne11657,2017/08/21,in the early afternoon,26,Piper\ne11659,2017/08/22,in the late afternoon,43,\"Piper, Nora, Eva, Hazel\"\ne11664,2017/08/23,in the early evening,21,\"Olivia, Nevaeh, Avery\"\ne11672,2017/08/25,in the early evening,26,Layla\ne11678,2017/08/26,in the morning,52,\"Kinsley, Rylee, Avery\"\ne11686,2017/08/28,in the early evening,20,\"Olivia, Hazel, Eva\"\ne11687,2017/08/28,in the early evening,21,\"Layla, Lydia, Nora\"\ne11691,2017/08/29,in the morning,54,\"Layla, Olivia\"\ne11700,2017/08/31,in the late afternoon,48,Piper\ne11703,2017/09/01,in the early evening,13,Piper\ne11708,2017/09/03,in the morning,52,\"Nevaeh, Hazel, Olivia, Nora\"\ne11714,2017/09/04,in the early evening,11,\"Olivia, Avery, Piper, Layla\"\ne11723,2017/09/07,in the late afternoon,23,\"Eva, Hazel, Layla, Piper\"\ne11726,2017/09/08,in the morning,40,Lydia\ne11737,2017/09/10,late in the evening,37,\"Claire, Eva, Kinsley\"\ne11751,2017/09/14,in the late afternoon,27,Olivia\ne11761,2017/09/16,during lunch hours,13,\"Eva, Claire\"\ne11775,2017/09/20,in the morning,44,Kinsley\ne11776,2017/09/20,during lunch hours,35,Piper\ne11780,2017/09/21,in the early evening,34,Nora\ne11784,2017/09/22,in the early afternoon,27,\"Avery, Nora\"\ne11789,2017/09/23,in the late afternoon,17,\"Layla, Lydia, Nevaeh, Nora\"\ne11790,2017/09/23,late in the evening,12,\"Lydia, Claire, Nora\"\ne11794,2017/09/24,late in the evening,40,\"Lydia, Kinsley\"\ne11802,2017/09/26,during lunch hours,28,Rylee\ne11808,2017/09/28,in the early evening,23,\"Claire, Olivia, Rylee, Nevaeh\"\ne11817,2017/09/30,in the early evening,52,\"Hazel, Lydia\"\ne11819,2017/10/01,in the late afternoon,37,\"Claire, Rylee, Avery\"\ne11823,2017/10/02,late in the evening,53,\"Nora, Rylee\"\ne11828,2017/10/03,in the early afternoon,41,Avery\ne11831,2017/10/04,in the morning,38,\"Layla, Kinsley, Piper, Avery\"\ne11837,2017/10/06,in the early afternoon,9,\"Piper, Claire\"\ne11841,2017/10/07,in the late afternoon,21,Nora\ne11844,2017/10/08,late in the evening,28,\"Avery, Nora\"\ne11847,2017/10/09,late in the evening,44,Kinsley\ne11849,2017/10/10,in the late afternoon,24,Piper\ne11852,2017/10/11,during lunch hours,34,\"Hazel, Nora, Olivia\"\ne11859,2017/10/12,in the morning,8,\"Rylee, Piper, Piper, Nora\"\ne11861,2017/10/13,during lunch hours,45,Layla\ne11868,2017/10/14,late in the evening,25,\"Kinsley, Nevaeh, Olivia, Layla\"\ne11878,2017/10/17,late in the evening,6,Piper\ne11882,2017/10/18,in the early evening,11,\"Lydia, Eva, Nora\"\ne11892,2017/10/21,in the early afternoon,5,Olivia\ne11896,2017/10/23,in the early evening,40,\"Avery, Lydia\"\ne11897,2017/10/23,in the early evening,10,\"Kinsley, Layla, Olivia, Nevaeh\"\ne11903,2017/10/24,in the morning,23,\"Olivia, Eva, Claire\"\ne11904,2017/10/24,in the early afternoon,29,\"Claire, Avery, Olivia\"\ne11908,2017/10/26,during lunch hours,49,\"Olivia, Kinsley\"\ne11914,2017/10/27,during lunch hours,9,\"Eva, Nora, Hazel\"\ne11915,2017/10/27,during lunch hours,30,Hazel\ne11919,2017/10/28,in the early evening,43,Hazel\ne11921,2017/10/30,in the early evening,9,\"Rylee, Lydia, Piper\"\ne11922,2017/10/30,in the morning,26,\"Piper, Nevaeh\"\ne11927,2017/10/31,in the early afternoon,28,Hazel\ne11933,2017/11/02,during lunch hours,35,Piper\ne11938,2017/11/04,during lunch hours,38,\"Layla, Lydia\"\ne11941,2017/11/05,during lunch hours,20,\"Layla, Piper, Claire, Nevaeh\"\ne11945,2017/11/06,in the morning,42,\"Nora, Claire\"\ne11949,2017/11/07,in the morning,46,Layla\ne11955,2017/11/08,late in the evening,35,\"Layla, Olivia\"\ne11956,2017/11/08,during lunch hours,55,\"Piper, Hazel, Kinsley, Lydia\"\ne11960,2017/11/09,in the early evening,53,Nora\ne11972,2017/11/13,in the early evening,39,\"Rylee, Nora, Layla\"\ne11976,2017/11/14,in the early afternoon,48,\"Layla, Eva, Hazel, Olivia\"\ne11983,2017/11/16,during lunch hours,19,\"Eva, Olivia, Avery, Lydia\"\ne11984,2017/11/16,in the morning,55,Olivia\ne11986,2017/11/17,in the early afternoon,48,\"Rylee, Nora, Piper\"\ne11990,2017/11/18,in the morning,46,\"Layla, Piper, Piper, Nevaeh\"\ne11995,2017/11/19,late in the evening,5,Hazel\ne11998,2017/11/20,in the early evening,37,Kinsley\ne12001,2017/11/22,in the early afternoon,14,\"Nora, Avery, Lydia\"\ne12006,2017/11/23,in the late afternoon,13,\"Claire, Layla\"\ne12009,2017/11/24,late in the evening,29,Nora\ne12012,2017/11/25,during lunch hours,12,\"Kinsley, Layla\"\ne12013,2017/11/25,during lunch hours,41,Rylee\ne12020,2017/11/28,during lunch hours,20,\"Piper, Claire\"\ne12024,2017/11/29,in the early afternoon,28,\"Eva, Piper, Piper\"\ne12025,2017/11/29,in the early afternoon,15,\"Layla, Nora, Nevaeh\"\ne12028,2017/11/30,late in the evening,11,\"Avery, Olivia\"\ne12033,2017/12/01,in the late afternoon,5,\"Avery, Piper\"\ne12040,2017/12/03,late in the evening,14,\"Kinsley, Layla\"\ne12045,2017/12/04,during lunch hours,15,\"Hazel, Avery, Nevaeh, Layla\"\ne12053,2017/12/07,late in the evening,47,\"Avery, Eva, Olivia, Piper\"\ne12061,2017/12/09,during lunch hours,40,\"Kinsley, Layla, Hazel, Piper\"\ne12067,2017/12/10,late in the evening,23,\"Claire, Hazel, Lydia, Piper\"\ne12068,2017/12/10,in the morning,49,Nora\ne12085,2017/12/14,during lunch hours,39,\"Kinsley, Layla\"\ne12091,2017/12/15,in the late afternoon,47,\"Nora, Olivia, Piper\"\ne12092,2017/12/15,in the morning,53,\"Nevaeh, Nora\"\ne12096,2017/12/16,late in the evening,23,\"Hazel, Piper, Lydia, Eva\"\ne12097,2017/12/16,during lunch hours,46,\"Avery, Layla\"\ne12101,2017/12/17,in the early evening,23,\"Claire, Nevaeh, Layla\"\ne12106,2017/12/18,in the early afternoon,6,Lydia\ne12109,2017/12/19,late in the evening,37,Avery\ne12119,2017/12/21,in the early afternoon,13,\"Piper, Eva, Piper\"\ne12121,2017/12/22,in the early evening,24,\"Piper, Olivia\"\ne12132,2017/12/26,during lunch hours,8,\"Piper, Eva\"\ne12133,2017/12/26,in the early evening,40,\"Eva, Lydia\"\ne12136,2017/12/27,in the morning,41,\"Kinsley, Layla\"\ne12149,2017/12/30,in the morning,55,\"Claire, Olivia, Layla, Eva\"\ne12150,2017/12/31,in the late afternoon,14,\"Nora, Avery, Rylee\"\ne12151,2017/12/31,late in the evening,40,\"Eva, Piper, Kinsley\"\ne12288,2018/01/02,in the late afternoon,41,\"Olivia, Nevaeh\"\ne12289,2018/01/02,during lunch hours,16,\"Layla, Lydia, Nevaeh\"\ne12294,2018/01/04,late in the evening,25,Claire\ne12303,2018/01/07,during lunch hours,6,\"Lydia, Claire\"\ne12313,2018/01/10,in the morning,16,\"Hazel, Eva\"\ne12316,2018/01/11,in the late afternoon,26,Piper\ne12317,2018/01/11,in the late afternoon,10,\"Lydia, Rylee\"\ne12321,2018/01/12,in the early evening,52,\"Nora, Eva, Hazel\"\ne12329,2018/01/14,during lunch hours,7,\"Nora, Piper, Claire\"\ne12336,2018/01/16,in the early afternoon,17,\"Nevaeh, Claire, Nora\"\ne12340,2018/01/17,late in the evening,33,\"Eva, Piper\"\ne12344,2018/01/18,in the early evening,47,\"Eva, Piper, Nora, Olivia\"\ne12349,2018/01/19,in the morning,30,Piper\ne12352,2018/01/20,in the early afternoon,7,\"Claire, Nora, Olivia\"\ne12356,2018/01/21,during lunch hours,40,\"Layla, Eva, Nora\"\ne12357,2018/01/21,during lunch hours,13,\"Piper, Claire, Hazel\"\ne12364,2018/01/23,in the late afternoon,39,\"Lydia, Layla, Claire\"\ne12368,2018/01/24,during lunch hours,53,Olivia\ne12373,2018/01/25,in the early evening,16,\"Kinsley, Nora, Lydia\"\ne12374,2018/01/25,in the early afternoon,16,\"Eva, Lydia, Claire\"\ne12379,2018/01/26,in the early afternoon,28,\"Nora, Lydia\"\ne12389,2018/01/29,late in the evening,45,\"Nevaeh, Kinsley, Eva, Nora\"\ne12394,2018/01/31,in the early afternoon,14,\"Layla, Nevaeh, Avery\"\ne12398,2018/02/01,during lunch hours,38,\"Claire, Piper, Nevaeh, Piper\"\ne12402,2018/02/02,in the late afternoon,48,\"Hazel, Rylee\"\ne12410,2018/02/05,in the early afternoon,46,\"Layla, Rylee, Olivia, Eva\"\ne12415,2018/02/06,in the morning,30,\"Olivia, Piper\"\ne12421,2018/02/08,in the morning,5,\"Rylee, Piper, Eva\"\ne12426,2018/02/10,in the morning,5,Nora\ne12439,2018/02/15,in the morning,22,\"Hazel, Nevaeh\"\ne12444,2018/02/16,late in the evening,55,Nora\ne12445,2018/02/16,in the late afternoon,16,\"Piper, Avery, Olivia\"\ne12451,2018/02/17,late in the evening,49,Nevaeh\ne12453,2018/02/18,in the early evening,23,\"Olivia, Piper\"\ne12454,2018/02/18,in the early afternoon,17,\"Claire, Lydia, Kinsley\"\ne12458,2018/02/19,in the late afternoon,41,\"Eva, Avery, Hazel, Layla\"\ne12468,2018/02/21,in the early evening,14,\"Piper, Layla, Kinsley, Claire\"\ne12472,2018/02/22,late in the evening,52,Layla\ne12480,2018/02/24,late in the evening,47,\"Claire, Lydia\"\ne12481,2018/02/24,during lunch hours,30,\"Nora, Nevaeh, Avery\"\ne12486,2018/02/25,in the late afternoon,41,Kinsley\ne12491,2018/02/26,during lunch hours,18,\"Nevaeh, Kinsley, Lydia, Piper\"\ne12492,2018/02/26,in the morning,23,\"Layla, Claire, Lydia, Eva\"\ne12496,2018/02/27,during lunch hours,31,\"Layla, Nevaeh, Lydia, Kinsley\"\ne12510,2018/03/04,in the early afternoon,17,\"Hazel, Olivia\"\ne12519,2018/03/07,in the morning,16,\"Piper, Eva\"\ne12525,2018/03/09,in the morning,22,\"Piper, Claire, Piper, Rylee\"\ne12534,2018/03/12,late in the evening,28,Nevaeh\ne12543,2018/03/14,in the morning,31,\"Nora, Piper, Lydia\"\ne12547,2018/03/15,in the early evening,40,\"Piper, Avery, Claire\"\ne12550,2018/03/16,in the morning,55,\"Rylee, Nora, Claire, Eva\"\ne12554,2018/03/17,in the morning,16,\"Hazel, Nora\"\ne12558,2018/03/18,in the early evening,38,\"Layla, Eva, Rylee\"\ne12568,2018/03/20,in the late afternoon,32,\"Layla, Nevaeh, Hazel\"\ne12573,2018/03/22,in the early evening,12,\"Layla, Avery, Eva\"\ne12581,2018/03/24,in the morning,12,\"Rylee, Claire\"\ne12596,2018/03/28,late in the evening,39,\"Lydia, Piper\"\ne12603,2018/03/30,in the late afternoon,45,\"Lydia, Nevaeh, Avery, Layla\"\ne12619,2018/04/03,in the morning,6,\"Avery, Piper, Piper, Eva\"\ne12627,2018/04/06,during lunch hours,22,\"Nora, Layla, Avery\"\ne12635,2018/04/09,in the late afternoon,15,\"Rylee, Avery\"\ne12636,2018/04/10,during lunch hours,52,Rylee\ne12638,2018/04/11,in the morning,29,\"Avery, Hazel, Layla\"\ne12644,2018/04/12,late in the evening,42,\"Eva, Piper\"\ne12650,2018/04/13,in the morning,55,\"Piper, Nevaeh, Lydia, Eva\"\ne12654,2018/04/14,during lunch hours,53,\"Rylee, Avery\"\ne12662,2018/04/16,in the late afternoon,26,Nora\ne12667,2018/04/17,in the late afternoon,6,\"Claire, Kinsley, Piper\"\ne12677,2018/04/20,in the morning,55,\"Lydia, Hazel, Claire, Piper\"\ne12678,2018/04/20,in the early evening,39,\"Nevaeh, Piper, Claire\"\ne12688,2018/04/23,in the early evening,35,\"Nora, Nevaeh, Piper, Kinsley\"\ne12692,2018/04/24,during lunch hours,55,\"Kinsley, Piper, Lydia, Rylee\"\ne12700,2018/04/26,during lunch hours,28,\"Claire, Piper, Piper, Nora\"\ne12706,2018/04/28,in the early evening,47,\"Claire, Layla, Nora\"\ne12711,2018/04/29,late in the evening,28,\"Olivia, Hazel\"\ne12712,2018/04/29,during lunch hours,26,\"Nevaeh, Kinsley\"\ne12731,2018/05/04,in the early evening,13,Lydia\ne12736,2018/05/05,in the early evening,53,Nevaeh\ne12737,2018/05/05,in the early afternoon,30,\"Lydia, Kinsley\"\ne12742,2018/05/06,late in the evening,50,\"Nevaeh, Kinsley, Piper, Eva\"\ne12746,2018/05/07,in the morning,35,\"Nevaeh, Nora\"\ne12747,2018/05/07,in the late afternoon,32,\"Avery, Claire\"\ne12752,2018/05/08,in the morning,46,\"Nora, Kinsley, Layla, Nevaeh\"\ne12759,2018/05/10,in the morning,5,\"Piper, Eva\"\ne12767,2018/05/12,late in the evening,30,\"Piper, Eva, Rylee\"\ne12772,2018/05/13,in the early evening,27,\"Nora, Piper\"\ne12783,2018/05/16,in the morning,50,\"Layla, Hazel, Olivia, Rylee\"\ne12784,2018/05/16,in the morning,40,\"Claire, Rylee, Eva\"\ne12791,2018/05/19,in the late afternoon,30,\"Piper, Eva, Nora\"\ne12794,2018/05/20,in the early evening,31,Claire\ne12796,2018/05/21,late in the evening,26,\"Hazel, Lydia, Layla\"\ne12803,2018/05/23,in the late afternoon,17,\"Nevaeh, Nora, Claire\"\ne12806,2018/05/24,in the morning,32,\"Claire, Eva, Kinsley\"\ne12807,2018/05/24,late in the evening,24,Hazel\ne12814,2018/05/26,in the early afternoon,54,Layla\ne12815,2018/05/26,in the early afternoon,29,\"Kinsley, Layla\"\ne12819,2018/05/27,in the morning,53,\"Nevaeh, Piper, Lydia, Piper\"\ne12831,2018/05/31,during lunch hours,31,\"Nora, Avery, Layla\"\ne12832,2018/05/31,in the late afternoon,34,\"Piper, Eva\"\ne12837,2018/06/02,in the morning,38,\"Nevaeh, Avery, Lydia, Rylee\"\ne12847,2018/06/04,in the morning,12,Olivia\ne12850,2018/06/05,during lunch hours,6,\"Hazel, Nevaeh, Claire\"\ne12862,2018/06/08,in the morning,20,\"Nevaeh, Hazel, Avery, Nora\"\ne12867,2018/06/09,in the morning,15,Nora\ne12875,2018/06/11,in the late afternoon,29,\"Olivia, Kinsley, Avery\"\ne12882,2018/06/13,in the late afternoon,35,Claire\ne12887,2018/06/14,in the morning,30,\"Avery, Claire, Lydia\"\ne12902,2018/06/18,in the early afternoon,41,Nora\ne12914,2018/06/21,in the early evening,11,\"Kinsley, Claire\"\ne12915,2018/06/21,in the early afternoon,10,\"Avery, Kinsley, Olivia, Piper\"\ne12929,2018/06/24,in the morning,51,\"Nora, Kinsley\"\ne12932,2018/06/25,in the late afternoon,18,Hazel\ne12936,2018/06/26,in the early afternoon,23,\"Piper, Nevaeh, Rylee, Eva\"\ne12939,2018/06/27,in the morning,38,\"Avery, Lydia\"\ne12941,2018/06/28,in the early evening,6,\"Nora, Rylee\"\ne12952,2018/07/01,in the morning,39,\"Eva, Hazel, Piper\"\ne12953,2018/07/01,late in the evening,26,\"Piper, Lydia, Claire\"\ne12956,2018/07/02,during lunch hours,43,\"Kinsley, Piper, Avery, Nora\"\ne12961,2018/07/03,in the late afternoon,13,Nevaeh\ne12973,2018/07/07,in the late afternoon,10,\"Kinsley, Claire\"\ne12979,2018/07/09,in the early afternoon,47,\"Kinsley, Eva, Layla\"\ne12982,2018/07/10,in the early afternoon,26,\"Eva, Kinsley, Rylee, Claire\"\ne12994,2018/07/13,in the early evening,11,Claire\ne12999,2018/07/14,in the early evening,29,Piper\ne13008,2018/07/17,in the late afternoon,34,\"Hazel, Nora, Claire\"\ne13013,2018/07/18,in the late afternoon,48,\"Kinsley, Olivia, Hazel, Piper\"\ne13014,2018/07/18,in the early evening,41,\"Avery, Layla, Hazel, Nevaeh\"\ne13023,2018/07/20,in the early evening,8,\"Lydia, Piper\"\ne13029,2018/07/22,late in the evening,28,\"Eva, Lydia, Claire, Hazel\"\ne13030,2018/07/22,in the late afternoon,21,Layla\ne13034,2018/07/23,late in the evening,22,\"Eva, Avery\"\ne13035,2018/07/23,in the early evening,32,Rylee\ne13042,2018/07/25,in the early afternoon,7,\"Lydia, Piper\"\ne13043,2018/07/25,in the morning,37,\"Rylee, Layla, Piper\"\ne13047,2018/07/26,in the early afternoon,53,\"Nevaeh, Piper, Olivia, Lydia\"\ne13059,2018/07/29,late in the evening,50,\"Nevaeh, Lydia, Piper, Claire\"\ne13060,2018/07/29,in the early afternoon,41,\"Layla, Piper, Olivia, Eva\"\ne13070,2018/07/31,late in the evening,16,\"Lydia, Piper, Avery\"\ne13074,2018/08/01,during lunch hours,39,\"Eva, Kinsley\"\ne13078,2018/08/02,late in the evening,31,Avery\ne13084,2018/08/03,in the early evening,36,\"Nevaeh, Hazel, Kinsley, Olivia\"\ne13085,2018/08/03,during lunch hours,31,\"Lydia, Eva, Kinsley, Layla\"\ne13095,2018/08/05,late in the evening,15,\"Nevaeh, Rylee, Olivia, Eva\"\ne13100,2018/08/06,in the early evening,52,\"Piper, Rylee\"\ne13101,2018/08/06,in the early afternoon,42,Kinsley\ne13111,2018/08/10,in the early afternoon,40,\"Kinsley, Hazel, Nevaeh, Olivia\"\ne13115,2018/08/11,in the early afternoon,38,\"Eva, Kinsley, Nevaeh\"\ne13123,2018/08/13,during lunch hours,51,Nevaeh\ne13134,2018/08/17,late in the evening,20,Claire\ne13135,2018/08/17,late in the evening,42,\"Nevaeh, Lydia, Avery\"\ne13138,2018/08/18,in the late afternoon,27,\"Nevaeh, Layla\"\ne13142,2018/08/20,in the morning,36,\"Layla, Nevaeh\"\ne13143,2018/08/20,in the early evening,16,\"Nevaeh, Lydia\"\ne13147,2018/08/21,in the early evening,12,\"Lydia, Avery, Hazel, Nevaeh\"\ne13151,2018/08/22,late in the evening,29,\"Eva, Rylee, Avery, Lydia\"\ne13156,2018/08/23,late in the evening,44,Lydia\ne13159,2018/08/24,in the late afternoon,11,\"Lydia, Nora\"\ne13163,2018/08/25,in the early afternoon,28,\"Kinsley, Rylee\"\ne13167,2018/08/26,in the early evening,49,\"Eva, Nora, Piper\"\ne13168,2018/08/26,in the morning,18,\"Layla, Hazel, Claire, Avery\"\ne13173,2018/08/28,in the early evening,27,\"Rylee, Layla, Claire\"\ne13177,2018/08/29,late in the evening,42,\"Layla, Piper, Lydia\"\ne13182,2018/08/31,in the early afternoon,54,Eva\ne13183,2018/08/31,in the early evening,18,Hazel\ne13188,2018/09/01,in the early afternoon,42,Kinsley\ne13195,2018/09/03,in the late afternoon,42,\"Piper, Layla, Piper, Lydia\"\ne13200,2018/09/04,in the late afternoon,36,\"Piper, Rylee\"\ne13205,2018/09/06,in the late afternoon,23,\"Layla, Rylee\"\ne13209,2018/09/07,during lunch hours,39,\"Hazel, Avery, Kinsley\"\ne13215,2018/09/09,in the morning,31,\"Rylee, Kinsley, Piper, Eva\"\ne13216,2018/09/09,during lunch hours,28,\"Olivia, Layla, Hazel, Nora\"\ne13220,2018/09/10,in the early evening,39,\"Rylee, Claire\"\ne13230,2018/09/14,in the late afternoon,52,Nora\ne13249,2018/09/18,in the morning,22,\"Lydia, Kinsley\"\ne13250,2018/09/18,in the late afternoon,31,Eva\ne13254,2018/09/19,in the morning,30,\"Layla, Kinsley, Lydia, Olivia\"\ne13255,2018/09/19,in the early afternoon,40,Layla\ne13262,2018/09/21,in the morning,52,\"Nevaeh, Olivia, Kinsley, Lydia\"\ne13267,2018/09/22,in the late afternoon,41,\"Avery, Claire, Eva, Hazel\"\ne13272,2018/09/23,late in the evening,53,\"Lydia, Eva, Rylee\"\ne13273,2018/09/23,late in the evening,41,\"Rylee, Nevaeh, Eva, Lydia\"\ne13280,2018/09/25,during lunch hours,43,\"Piper, Piper\"\ne13284,2018/09/26,in the early evening,13,Lydia\ne13293,2018/09/28,late in the evening,49,\"Nevaeh, Avery, Piper\"\ne13296,2018/09/29,in the morning,49,\"Olivia, Piper, Layla, Avery\"\ne13306,2018/10/01,during lunch hours,33,\"Hazel, Piper, Avery\"\ne13307,2018/10/01,in the morning,42,Rylee\ne13312,2018/10/03,late in the evening,53,\"Avery, Olivia, Claire\"\ne13315,2018/10/04,in the late afternoon,8,Claire\ne13316,2018/10/04,late in the evening,37,\"Olivia, Piper, Avery\"\ne13321,2018/10/06,late in the evening,9,\"Nevaeh, Hazel\"\ne13325,2018/10/07,in the early afternoon,24,\"Rylee, Avery, Layla\"\ne13326,2018/10/07,late in the evening,22,\"Nevaeh, Piper, Piper\"\ne13329,2018/10/08,in the early afternoon,43,Rylee\ne13336,2018/10/10,during lunch hours,9,Claire\ne13339,2018/10/11,in the early afternoon,47,\"Hazel, Claire\"\ne13345,2018/10/12,late in the evening,52,\"Claire, Lydia\"\ne13346,2018/10/12,in the early afternoon,41,Eva\ne13353,2018/10/15,during lunch hours,16,Layla\ne13365,2018/10/18,in the late afternoon,25,\"Rylee, Kinsley\"\ne13369,2018/10/19,in the early afternoon,42,\"Nevaeh, Kinsley, Olivia\"\ne13372,2018/10/20,in the late afternoon,39,Hazel\ne13376,2018/10/21,in the late afternoon,50,\"Kinsley, Piper, Hazel\"\ne13380,2018/10/22,in the early afternoon,33,Olivia\ne13385,2018/10/23,in the morning,29,\"Piper, Avery\"\ne13386,2018/10/23,during lunch hours,22,\"Rylee, Layla\"\ne13388,2018/10/24,during lunch hours,11,\"Hazel, Avery, Nevaeh\"\ne13389,2018/10/24,in the early afternoon,44,Hazel\ne13397,2018/10/28,in the morning,43,\"Rylee, Avery\"\ne13403,2018/10/31,in the early evening,6,\"Nora, Lydia\"\ne13405,2018/11/01,in the morning,44,\"Nevaeh, Rylee, Nora, Olivia\"\ne13408,2018/11/02,during lunch hours,6,\"Eva, Layla, Claire, Kinsley\"\ne13412,2018/11/03,late in the evening,9,\"Nevaeh, Olivia, Rylee\"\ne13415,2018/11/04,in the early afternoon,39,\"Lydia, Claire, Kinsley, Piper\"\ne13428,2018/11/08,late in the evening,16,\"Lydia, Rylee\"\ne13432,2018/11/09,during lunch hours,39,Piper\ne13440,2018/11/11,during lunch hours,24,\"Lydia, Nora\"\ne13443,2018/11/12,during lunch hours,21,Hazel\ne13453,2018/11/15,during lunch hours,21,Piper\ne13458,2018/11/16,in the early afternoon,10,Kinsley\ne13464,2018/11/17,in the morning,48,\"Avery, Lydia, Layla\"\ne13465,2018/11/17,in the early afternoon,43,\"Piper, Nora\"\ne13468,2018/11/18,in the early afternoon,40,Claire\ne13473,2018/11/20,in the late afternoon,35,Claire\ne13478,2018/11/21,in the morning,28,\"Claire, Layla, Hazel, Rylee\"\ne13485,2018/11/23,late in the evening,10,\"Nora, Lydia, Layla, Hazel\"\ne13490,2018/11/24,in the morning,43,Avery\ne13496,2018/11/25,in the early afternoon,37,\"Piper, Nora, Rylee\"\ne13500,2018/11/26,during lunch hours,43,\"Piper, Eva\"\ne13504,2018/11/28,in the late afternoon,28,\"Nevaeh, Eva\"\ne13512,2018/11/30,in the morning,17,\"Piper, Nevaeh, Rylee, Piper\"\ne13513,2018/11/30,late in the evening,15,\"Avery, Rylee, Lydia\"\ne13518,2018/12/01,in the early evening,52,\"Kinsley, Rylee, Nora, Piper\"\ne13521,2018/12/02,in the early afternoon,27,\"Nevaeh, Rylee, Kinsley\"\ne13529,2018/12/04,during lunch hours,16,Eva\ne13536,2018/12/06,in the late afternoon,41,\"Layla, Nevaeh, Hazel\"\ne13537,2018/12/06,during lunch hours,17,Kinsley\ne13543,2018/12/07,late in the evening,50,Avery\ne13548,2018/12/08,in the late afternoon,16,Layla\ne13549,2018/12/08,in the late afternoon,30,\"Piper, Layla\"\ne13553,2018/12/09,in the morning,19,Piper\ne13557,2018/12/10,late in the evening,26,\"Nevaeh, Lydia, Olivia, Nora\"\ne13564,2018/12/13,in the early evening,35,Olivia\ne13579,2018/12/18,in the late afternoon,51,\"Lydia, Olivia, Claire\"\ne13593,2018/12/22,in the early afternoon,7,\"Piper, Piper\"\ne13605,2018/12/25,in the early afternoon,47,Lydia\ne13606,2018/12/25,in the late afternoon,13,\"Olivia, Nora\"\ne13611,2018/12/26,in the early afternoon,32,\"Kinsley, Piper\"\ne13616,2018/12/28,during lunch hours,35,\"Kinsley, Nevaeh, Hazel\"\ne13620,2018/12/29,late in the evening,27,\"Lydia, Nora, Claire, Kinsley\"\ne13623,2018/12/30,in the early evening,47,\"Eva, Hazel, Layla\"\ne13766,2019/01/02,in the morning,16,\"Kinsley, Layla, Piper\"\ne13774,2019/01/04,in the early evening,33,Lydia\ne13784,2019/01/06,late in the evening,45,Layla\ne13790,2019/01/08,in the early afternoon,18,\"Kinsley, Nora, Rylee\"\ne13793,2019/01/09,in the morning,29,\"Kinsley, Rylee, Claire, Hazel\"\ne13796,2019/01/10,in the late afternoon,55,\"Claire, Nora, Nevaeh, Avery\"\ne13800,2019/01/11,in the early evening,51,\"Piper, Lydia, Hazel\"\ne13804,2019/01/12,in the morning,20,\"Lydia, Claire, Avery, Piper\"\ne13811,2019/01/14,in the morning,42,\"Avery, Lydia\"\ne13817,2019/01/16,in the early afternoon,48,\"Avery, Claire\"\ne13822,2019/01/17,in the early afternoon,13,\"Layla, Avery\"\ne13826,2019/01/18,late in the evening,21,\"Piper, Olivia, Claire\"\ne13827,2019/01/18,in the morning,46,\"Lydia, Kinsley, Piper, Rylee\"\ne13831,2019/01/19,in the early afternoon,19,Layla\ne13838,2019/01/22,in the morning,43,Kinsley\ne13842,2019/01/24,in the early evening,43,\"Hazel, Eva, Claire\"\ne13843,2019/01/24,in the early afternoon,52,Eva\ne13846,2019/01/25,during lunch hours,12,\"Nora, Rylee\"\ne13856,2019/01/27,during lunch hours,49,\"Nevaeh, Nora, Claire\"\ne13860,2019/01/28,in the early evening,24,\"Rylee, Piper\"\ne13866,2019/01/29,in the early evening,32,Piper\ne13871,2019/01/30,in the early evening,11,\"Nevaeh, Avery, Lydia, Olivia\"\ne13879,2019/02/01,late in the evening,18,\"Rylee, Nora, Hazel\"\ne13880,2019/02/01,in the early evening,48,\"Lydia, Kinsley\"\ne13882,2019/02/02,in the late afternoon,43,\"Rylee, Claire, Piper\"\ne13890,2019/02/04,in the early evening,38,Nora\ne13894,2019/02/05,during lunch hours,49,\"Eva, Olivia, Avery, Kinsley\"\ne13899,2019/02/07,in the morning,47,\"Avery, Layla, Lydia, Olivia\"\ne13900,2019/02/07,in the early afternoon,28,\"Olivia, Layla, Nora, Eva\"\ne13904,2019/02/08,in the early evening,39,\"Avery, Rylee\"\ne13907,2019/02/09,in the morning,43,\"Avery, Lydia, Claire\"\ne13918,2019/02/13,late in the evening,42,\"Lydia, Piper, Eva\"\ne13919,2019/02/13,in the early evening,7,\"Kinsley, Layla, Eva, Piper\"\ne13922,2019/02/14,in the late afternoon,36,\"Layla, Olivia\"\ne13927,2019/02/16,in the early evening,40,\"Layla, Hazel\"\ne13931,2019/02/17,in the early afternoon,55,\"Eva, Rylee, Hazel, Olivia\"\ne13936,2019/02/18,in the late afternoon,18,\"Nevaeh, Avery, Kinsley, Layla\"\ne13941,2019/02/19,in the early evening,52,\"Layla, Kinsley, Olivia\"\ne13942,2019/02/19,late in the evening,42,\"Rylee, Kinsley, Hazel, Avery\"\ne13952,2019/02/22,in the early evening,23,\"Kinsley, Claire\"\ne13953,2019/02/22,late in the evening,29,\"Hazel, Olivia, Piper, Lydia\"\ne13955,2019/02/24,in the morning,54,\"Lydia, Eva\"\ne13960,2019/02/25,late in the evening,11,\"Hazel, Piper\"\ne13965,2019/02/26,in the early afternoon,28,\"Claire, Hazel, Nevaeh\"\ne13966,2019/02/26,late in the evening,19,Avery\ne13970,2019/02/27,in the late afternoon,50,\"Lydia, Piper, Nora, Rylee\"\ne13972,2019/02/28,in the late afternoon,28,\"Nevaeh, Hazel, Lydia\"\ne13973,2019/02/28,in the morning,37,\"Piper, Eva, Rylee, Claire\"\ne13977,2019/03/01,in the early afternoon,15,\"Nevaeh, Piper, Piper\"\ne13983,2019/03/04,late in the evening,33,\"Piper, Kinsley\"\ne13988,2019/03/05,in the morning,27,\"Layla, Olivia\"\ne13994,2019/03/07,in the early evening,53,\"Lydia, Kinsley, Nevaeh\"\ne13997,2019/03/08,in the late afternoon,12,\"Kinsley, Claire, Piper\"\ne14002,2019/03/10,in the morning,30,\"Claire, Layla\"\ne14008,2019/03/12,in the early evening,40,\"Hazel, Kinsley\"\ne14009,2019/03/12,in the morning,17,Rylee\ne14011,2019/03/13,in the early afternoon,29,\"Nora, Rylee, Olivia, Kinsley\"\ne14012,2019/03/13,late in the evening,40,\"Piper, Layla, Rylee\"\ne14018,2019/03/14,late in the evening,12,\"Lydia, Piper, Layla\"\ne14019,2019/03/14,during lunch hours,39,\"Piper, Avery\"\ne14022,2019/03/15,in the late afternoon,20,\"Olivia, Piper, Nora, Lydia\"\ne14023,2019/03/15,late in the evening,50,\"Claire, Piper, Avery, Rylee\"\ne14027,2019/03/16,during lunch hours,20,\"Kinsley, Hazel\"\ne14033,2019/03/18,in the early evening,14,Nevaeh\ne14039,2019/03/21,in the early evening,28,\"Olivia, Claire\"\ne14043,2019/03/22,in the early evening,25,Piper\ne14047,2019/03/23,in the early evening,38,\"Nora, Avery, Lydia, Olivia\"\ne14060,2019/03/27,late in the evening,23,\"Claire, Lydia, Hazel\"\ne14065,2019/03/28,in the late afternoon,35,\"Nevaeh, Olivia, Eva, Piper\"\ne14069,2019/03/29,in the early evening,22,\"Nevaeh, Olivia, Layla\"\ne14070,2019/03/29,in the early afternoon,44,\"Avery, Nevaeh, Layla\"\ne14074,2019/03/30,in the late afternoon,8,Piper\ne14078,2019/03/31,in the early evening,48,\"Nevaeh, Piper, Kinsley\"\ne14082,2019/04/01,in the late afternoon,44,\"Olivia, Hazel, Piper\"\ne14087,2019/04/03,in the late afternoon,54,\"Nora, Kinsley\"\ne14091,2019/04/04,during lunch hours,43,\"Layla, Olivia, Hazel\"\ne14101,2019/04/07,in the late afternoon,53,\"Avery, Nevaeh, Lydia, Rylee\"\ne14105,2019/04/08,in the morning,49,\"Hazel, Layla, Rylee, Claire\"\ne14110,2019/04/09,late in the evening,36,Lydia\ne14114,2019/04/10,in the morning,17,Lydia\ne14115,2019/04/10,in the early afternoon,27,\"Nevaeh, Piper\"\ne14118,2019/04/11,during lunch hours,39,Nora\ne14126,2019/04/14,late in the evening,41,Nevaeh\ne14135,2019/04/18,in the late afternoon,53,\"Claire, Layla, Avery\"\ne14139,2019/04/19,late in the evening,25,\"Avery, Piper\"\ne14140,2019/04/19,in the morning,7,\"Lydia, Nora, Nevaeh, Olivia\"\ne14144,2019/04/20,in the early afternoon,48,Eva\ne14145,2019/04/20,in the early afternoon,49,\"Hazel, Avery, Olivia\"\ne14147,2019/04/21,in the early afternoon,47,\"Olivia, Nevaeh, Layla\"\ne14152,2019/04/22,in the early afternoon,10,\"Claire, Hazel\"\ne14156,2019/04/23,in the early afternoon,51,Avery\ne14160,2019/04/24,during lunch hours,15,\"Eva, Nevaeh, Piper\"\ne14161,2019/04/25,during lunch hours,21,Hazel\ne14168,2019/04/26,during lunch hours,22,Nevaeh\ne14169,2019/04/26,late in the evening,43,Piper\ne14174,2019/04/27,late in the evening,50,\"Eva, Piper, Hazel\"\ne14180,2019/04/28,during lunch hours,41,\"Claire, Layla, Nora\"\ne14183,2019/04/29,late in the evening,43,\"Layla, Eva, Piper\"\ne14187,2019/04/30,in the early afternoon,12,\"Olivia, Rylee, Avery\"\ne14190,2019/05/01,during lunch hours,39,\"Olivia, Lydia\"\ne14195,2019/05/02,late in the evening,49,Nora\ne14199,2019/05/03,in the early evening,15,Lydia\ne14200,2019/05/03,in the morning,40,\"Eva, Claire, Layla, Piper\"\ne14211,2019/05/06,late in the evening,34,\"Avery, Nevaeh\"\ne14215,2019/05/07,during lunch hours,38,\"Avery, Eva, Hazel\"\ne14223,2019/05/10,in the late afternoon,33,\"Avery, Layla, Claire, Kinsley\"\ne14237,2019/05/13,in the morning,47,\"Olivia, Eva, Layla, Claire\"\ne14240,2019/05/14,in the late afternoon,37,\"Hazel, Piper\"\ne14241,2019/05/14,in the early evening,52,\"Avery, Rylee, Lydia\"\ne14246,2019/05/15,in the early afternoon,55,Eva\ne14249,2019/05/16,during lunch hours,44,\"Layla, Piper, Eva, Claire\"\ne14253,2019/05/17,in the early evening,41,\"Piper, Rylee, Piper\"\ne14263,2019/05/19,in the late afternoon,23,\"Kinsley, Piper, Avery\"\ne14266,2019/05/20,in the morning,13,\"Rylee, Lydia\"\ne14267,2019/05/20,late in the evening,38,\"Kinsley, Piper, Avery\"\ne14272,2019/05/21,in the late afternoon,23,\"Nevaeh, Avery, Olivia, Claire\"\ne14281,2019/05/23,in the late afternoon,18,\"Eva, Avery, Piper\"\ne14289,2019/05/25,during lunch hours,33,\"Olivia, Piper, Hazel, Piper\"\ne14294,2019/05/26,late in the evening,38,Eva\ne14295,2019/05/26,during lunch hours,8,\"Claire, Piper, Nora\"\ne14306,2019/05/29,in the early evening,23,\"Rylee, Layla, Olivia\"\ne14315,2019/06/01,during lunch hours,5,\"Layla, Piper, Hazel\"\ne14316,2019/06/01,in the morning,8,\"Nora, Eva, Piper\"\ne14318,2019/06/02,in the morning,25,\"Avery, Kinsley, Lydia\"\ne14325,2019/06/04,in the morning,20,\"Piper, Olivia, Rylee, Nevaeh\"\ne14333,2019/06/06,in the early evening,47,\"Eva, Claire, Layla, Avery\"\ne14338,2019/06/07,in the late afternoon,21,Piper\ne14355,2019/06/11,late in the evening,42,\"Layla, Lydia\"\ne14356,2019/06/11,during lunch hours,36,Hazel\ne14360,2019/06/12,in the late afternoon,22,\"Piper, Lydia\"\ne14362,2019/06/13,during lunch hours,26,\"Piper, Avery, Kinsley\"\ne14369,2019/06/15,during lunch hours,54,Hazel\ne14377,2019/06/17,in the late afternoon,30,\"Lydia, Piper, Piper\"\ne14383,2019/06/19,in the early afternoon,12,Piper\ne14387,2019/06/20,in the early evening,34,\"Nevaeh, Claire, Nora\"\ne14388,2019/06/20,in the early afternoon,13,\"Rylee, Kinsley\"\ne14394,2019/06/21,in the late afternoon,40,\"Nevaeh, Piper, Eva\"\ne14398,2019/06/22,in the early afternoon,34,Olivia\ne14404,2019/06/23,in the early afternoon,38,\"Claire, Kinsley, Piper\"\ne14407,2019/06/24,late in the evening,54,\"Kinsley, Nevaeh\"\ne14408,2019/06/24,late in the evening,33,\"Eva, Olivia, Kinsley, Hazel\"\ne14412,2019/06/25,in the late afternoon,25,Layla\ne14413,2019/06/25,in the morning,46,\"Avery, Eva, Nevaeh, Nora\"\ne14416,2019/06/26,late in the evening,38,\"Eva, Olivia, Layla\"\ne14422,2019/06/28,in the early evening,7,\"Claire, Piper\"\ne14432,2019/07/01,in the early afternoon,35,\"Claire, Hazel, Piper\"\ne14433,2019/07/01,during lunch hours,24,\"Hazel, Piper\"\ne14438,2019/07/02,in the late afternoon,41,\"Avery, Olivia, Hazel, Eva\"\ne14442,2019/07/03,in the morning,35,\"Nora, Kinsley, Avery, Piper\"\ne14447,2019/07/04,late in the evening,12,\"Hazel, Piper, Layla\"\ne14454,2019/07/06,in the late afternoon,23,\"Kinsley, Avery\"\ne14455,2019/07/06,late in the evening,31,Kinsley\ne14459,2019/07/07,in the early evening,16,Layla\ne14465,2019/07/09,in the early afternoon,45,Avery\ne14468,2019/07/10,in the early evening,8,Avery\ne14473,2019/07/11,late in the evening,5,Kinsley\ne14474,2019/07/11,in the morning,23,Nevaeh\ne14475,2019/07/12,late in the evening,25,\"Avery, Hazel\"\ne14476,2019/07/12,late in the evening,54,\"Avery, Olivia\"\ne14479,2019/07/13,late in the evening,37,\"Piper, Eva\"\ne14483,2019/07/14,in the early evening,5,\"Piper, Lydia\"\ne14489,2019/07/15,in the early afternoon,54,Lydia\ne14491,2019/07/16,in the early evening,50,\"Eva, Piper\"\ne14492,2019/07/16,in the early evening,23,\"Piper, Rylee\"\ne14500,2019/07/18,in the morning,39,\"Nora, Rylee, Lydia\"\ne14506,2019/07/20,in the early evening,22,\"Claire, Layla, Lydia, Olivia\"\ne14511,2019/07/22,in the early evening,36,\"Layla, Nevaeh, Hazel, Olivia\"\ne14515,2019/07/23,in the late afternoon,9,\"Avery, Rylee, Lydia\"\ne14517,2019/07/24,late in the evening,13,\"Piper, Claire, Eva, Rylee\"\ne14526,2019/07/26,late in the evening,22,Kinsley\ne14535,2019/07/28,in the early evening,23,\"Nevaeh, Rylee\"\ne14550,2019/07/31,during lunch hours,45,\"Piper, Eva, Layla, Lydia\"\ne14557,2019/08/02,in the early evening,42,\"Piper, Layla\"\ne14560,2019/08/04,in the late afternoon,41,\"Kinsley, Nora, Avery\"\ne14564,2019/08/05,in the late afternoon,23,\"Olivia, Lydia, Rylee, Avery\"\ne14567,2019/08/06,late in the evening,44,\"Kinsley, Lydia\"\ne14571,2019/08/08,in the early evening,48,Piper\ne14576,2019/08/09,in the late afternoon,44,\"Nevaeh, Layla, Nora, Olivia\"\ne14580,2019/08/10,late in the evening,46,\"Piper, Lydia, Avery\"\ne14584,2019/08/11,late in the evening,31,\"Nevaeh, Piper\"\ne14588,2019/08/12,in the early afternoon,30,\"Avery, Hazel, Kinsley\"\ne14589,2019/08/12,late in the evening,6,\"Avery, Eva, Lydia, Kinsley\"\ne14594,2019/08/13,during lunch hours,53,Rylee\ne14595,2019/08/13,in the early afternoon,19,\"Kinsley, Layla, Piper\"\ne14601,2019/08/15,in the late afternoon,32,\"Nora, Layla, Claire\"\ne14610,2019/08/17,late in the evening,45,\"Piper, Kinsley\"\ne14614,2019/08/18,in the late afternoon,45,Piper\ne14621,2019/08/19,late in the evening,26,\"Layla, Olivia\"\ne14626,2019/08/20,during lunch hours,22,Kinsley\ne14629,2019/08/21,in the morning,25,Rylee\ne14632,2019/08/22,late in the evening,13,\"Claire, Piper, Piper\"\ne14637,2019/08/24,in the early afternoon,21,\"Nevaeh, Kinsley, Eva\"\ne14638,2019/08/24,during lunch hours,38,Hazel\ne14646,2019/08/27,during lunch hours,30,\"Eva, Piper\"\ne14656,2019/08/30,in the early evening,47,\"Hazel, Avery\"\ne14660,2019/08/31,in the late afternoon,24,\"Lydia, Avery\"\ne14661,2019/08/31,in the morning,49,\"Hazel, Kinsley\"\ne14670,2019/09/02,late in the evening,16,\"Rylee, Hazel\"\ne14671,2019/09/02,in the morning,14,\"Eva, Avery\"\ne14676,2019/09/03,in the early afternoon,33,\"Nevaeh, Piper, Kinsley, Claire\"\ne14679,2019/09/04,late in the evening,46,\"Nora, Rylee, Eva, Nevaeh\"\ne14685,2019/09/06,in the early evening,47,\"Lydia, Hazel, Piper\"\ne14689,2019/09/07,in the early evening,24,\"Piper, Hazel, Claire, Olivia\"\ne14690,2019/09/07,in the early afternoon,24,\"Eva, Nevaeh, Layla\"\ne14694,2019/09/08,in the early evening,6,\"Layla, Eva\"\ne14695,2019/09/09,in the early evening,51,\"Avery, Hazel\"\ne14696,2019/09/09,during lunch hours,46,\"Nevaeh, Eva, Piper, Layla\"\ne14700,2019/09/10,late in the evening,38,\"Eva, Claire\"\ne14703,2019/09/11,in the early evening,53,Avery\ne14712,2019/09/14,in the late afternoon,32,Nevaeh\ne14717,2019/09/15,in the early afternoon,16,\"Layla, Kinsley\"\ne14720,2019/09/16,in the early evening,25,\"Layla, Claire, Eva\"\ne14733,2019/09/20,in the early evening,38,\"Piper, Layla, Piper\"\ne14734,2019/09/20,during lunch hours,24,Nora\ne14740,2019/09/22,in the morning,33,\"Layla, Piper, Piper, Hazel\"\ne14743,2019/09/23,during lunch hours,32,Kinsley\ne14751,2019/09/25,in the early afternoon,33,Hazel\ne14758,2019/09/27,in the late afternoon,36,Kinsley\ne14760,2019/09/28,late in the evening,8,\"Olivia, Lydia, Claire, Nora\"\ne14761,2019/09/28,in the late afternoon,43,Eva\ne14766,2019/09/29,in the late afternoon,29,\"Nevaeh, Avery, Piper, Layla\"\ne14767,2019/09/30,in the morning,48,\"Avery, Eva, Rylee, Claire\"\ne14771,2019/10/01,during lunch hours,27,Claire\ne14775,2019/10/02,in the morning,9,\"Piper, Kinsley\"\ne14778,2019/10/03,during lunch hours,13,\"Olivia, Nevaeh\"\ne14779,2019/10/03,in the early afternoon,36,\"Lydia, Nora\"\ne14789,2019/10/06,in the morning,37,Olivia\ne14792,2019/10/07,late in the evening,52,\"Rylee, Olivia\"\ne14802,2019/10/09,in the early afternoon,21,Piper\ne14806,2019/10/10,during lunch hours,25,Lydia\ne14807,2019/10/10,in the late afternoon,37,\"Lydia, Nevaeh, Piper, Nora\"\ne14811,2019/10/11,in the late afternoon,5,\"Avery, Rylee, Olivia\"\ne14814,2019/10/12,in the early afternoon,50,\"Piper, Piper, Kinsley, Hazel\"\ne14820,2019/10/13,in the early evening,21,\"Piper, Rylee, Lydia, Eva\"\ne14825,2019/10/14,late in the evening,6,\"Piper, Olivia, Eva, Lydia\"\ne14828,2019/10/15,in the early evening,45,\"Eva, Rylee, Piper\"\ne14832,2019/10/16,in the morning,40,\"Hazel, Claire, Avery, Piper\"\ne14838,2019/10/18,in the early afternoon,10,\"Claire, Nevaeh\"\ne14850,2019/10/21,in the morning,31,\"Kinsley, Avery, Lydia, Layla\"\ne14851,2019/10/21,in the morning,11,Avery\ne14855,2019/10/22,late in the evening,22,\"Piper, Kinsley, Eva\"\ne14856,2019/10/22,in the early afternoon,33,\"Olivia, Claire, Avery\"\ne14865,2019/10/25,late in the evening,12,\"Claire, Nevaeh\"\ne14875,2019/10/27,in the early afternoon,35,\"Layla, Nevaeh, Piper, Hazel\"\ne14876,2019/10/27,in the early evening,39,\"Nora, Eva, Lydia, Rylee\"\ne14883,2019/10/29,in the early evening,34,\"Claire, Rylee, Piper, Layla\"\ne14887,2019/10/30,in the early evening,48,\"Kinsley, Lydia, Nora, Hazel\"\ne14893,2019/11/01,in the late afternoon,40,\"Lydia, Olivia\"\ne14896,2019/11/02,late in the evening,22,Lydia\ne14900,2019/11/03,in the late afternoon,46,\"Nora, Kinsley, Avery\"\ne14903,2019/11/04,in the morning,27,Nora\ne14910,2019/11/06,during lunch hours,55,\"Piper, Layla\"\ne14911,2019/11/06,during lunch hours,29,\"Lydia, Avery\"\ne14913,2019/11/07,late in the evening,48,\"Piper, Hazel, Nora\"\ne14931,2019/11/12,in the early evening,50,\"Claire, Kinsley, Olivia\"\ne14940,2019/11/15,late in the evening,53,Piper\ne14941,2019/11/15,late in the evening,33,\"Claire, Kinsley\"\ne14945,2019/11/16,in the early afternoon,7,\"Eva, Kinsley, Nora, Lydia\"\ne14948,2019/11/17,in the early afternoon,6,\"Avery, Lydia, Nora\"\ne14954,2019/11/20,in the early afternoon,49,\"Nora, Lydia, Nevaeh\"\ne14957,2019/11/21,during lunch hours,8,Olivia\ne14965,2019/11/23,in the morning,47,\"Eva, Claire\"\ne14966,2019/11/23,in the morning,15,Olivia\ne14972,2019/11/24,during lunch hours,26,\"Nora, Olivia\"\ne14973,2019/11/24,in the morning,54,\"Claire, Avery\"\ne14975,2019/11/25,in the late afternoon,23,\"Nevaeh, Claire, Nora\"\ne14979,2019/11/26,during lunch hours,26,\"Piper, Avery, Claire, Lydia\"\ne14983,2019/11/27,in the early afternoon,24,Nora\ne14985,2019/11/28,in the late afternoon,12,\"Avery, Layla, Nevaeh, Olivia\"\ne14986,2019/11/28,during lunch hours,7,\"Hazel, Kinsley, Piper, Piper\"\ne14990,2019/11/29,in the morning,19,\"Nevaeh, Kinsley, Avery\"\ne14992,2019/11/30,in the early afternoon,51,Claire\ne14995,2019/12/01,in the early evening,5,\"Piper, Eva, Kinsley\"\ne14996,2019/12/01,in the morning,22,\"Rylee, Kinsley, Hazel, Avery\"\ne14999,2019/12/02,during lunch hours,29,\"Rylee, Nora\"\ne15000,2019/12/02,in the early afternoon,51,\"Hazel, Nevaeh, Piper\"\ne15003,2019/12/03,during lunch hours,32,\"Olivia, Kinsley, Layla, Eva\"\ne15008,2019/12/04,in the early afternoon,7,\"Lydia, Avery, Hazel\"\ne15011,2019/12/05,during lunch hours,45,Olivia\ne15012,2019/12/05,in the late afternoon,50,\"Nevaeh, Lydia, Piper, Olivia\"\ne15038,2019/12/12,in the early evening,30,\"Hazel, Piper, Nora, Claire\"\ne15045,2019/12/14,in the early evening,45,Layla\ne15050,2019/12/15,in the morning,35,\"Piper, Rylee\"\ne15051,2019/12/15,late in the evening,6,\"Piper, Avery, Lydia\"\ne15055,2019/12/16,during lunch hours,6,Hazel\ne15064,2019/12/19,during lunch hours,7,\"Piper, Kinsley, Nora\"\ne15072,2019/12/21,in the late afternoon,9,\"Claire, Hazel, Nora\"\ne15073,2019/12/21,in the late afternoon,13,\"Rylee, Lydia, Claire\"\ne15080,2019/12/23,in the late afternoon,51,\"Nora, Avery, Eva\"\ne15085,2019/12/24,in the late afternoon,17,Lydia\ne15090,2019/12/25,late in the evening,24,\"Nora, Olivia\"\ne15097,2019/12/27,in the early evening,9,\"Piper, Layla, Piper\"\ne15098,2019/12/27,in the late afternoon,11,Piper\ne15108,2019/12/30,late in the evening,19,\"Eva, Claire\"\ne15109,2019/12/30,late in the evening,46,\"Layla, Claire, Avery, Eva\"\ne15250,2020/01/02,in the early afternoon,9,\"Olivia, Layla, Lydia\"\ne15254,2020/01/03,in the morning,48,\"Olivia, Nevaeh, Avery\"\ne15262,2020/01/05,in the late afternoon,40,\"Nora, Nevaeh, Hazel, Layla\"\ne15265,2020/01/06,late in the evening,41,\"Kinsley, Rylee, Piper, Eva\"\ne15272,2020/01/08,in the morning,48,\"Kinsley, Lydia\"\ne15277,2020/01/09,in the morning,24,\"Lydia, Kinsley\"\ne15282,2020/01/11,during lunch hours,31,\"Piper, Hazel, Eva\"\ne15287,2020/01/12,in the early afternoon,45,Nevaeh\ne15288,2020/01/12,during lunch hours,23,\"Piper, Kinsley, Nevaeh, Eva\"\ne15292,2020/01/13,in the early evening,44,\"Kinsley, Nora\"\ne15293,2020/01/14,in the morning,27,\"Piper, Kinsley, Layla, Nora\"\ne15297,2020/01/15,in the early afternoon,47,\"Olivia, Hazel, Piper, Piper\"\ne15302,2020/01/17,in the late afternoon,53,\"Hazel, Kinsley\"\ne15307,2020/01/19,late in the evening,30,\"Nevaeh, Piper, Kinsley, Rylee\"\ne15308,2020/01/19,during lunch hours,6,\"Avery, Eva, Piper, Olivia\"\ne15312,2020/01/20,in the morning,51,Kinsley\ne15315,2020/01/21,late in the evening,14,\"Kinsley, Piper\"\ne15316,2020/01/21,in the late afternoon,50,\"Layla, Rylee, Hazel\"\ne15320,2020/01/22,during lunch hours,42,\"Piper, Lydia, Nevaeh\"\ne15321,2020/01/22,in the early afternoon,55,\"Hazel, Layla, Avery, Olivia\"\ne15327,2020/01/23,in the morning,45,\"Olivia, Lydia\"\ne15331,2020/01/24,in the early evening,29,\"Nevaeh, Lydia\"\ne15333,2020/01/25,during lunch hours,28,\"Nevaeh, Kinsley, Rylee\"\ne15337,2020/01/26,in the late afternoon,33,\"Hazel, Nevaeh, Piper\"\ne15338,2020/01/26,in the early evening,42,\"Piper, Kinsley, Layla, Claire\"\ne15342,2020/01/27,late in the evening,55,\"Piper, Rylee, Olivia\"\ne15348,2020/01/29,in the late afternoon,52,Nora\ne15351,2020/01/30,in the early afternoon,44,\"Lydia, Nora, Piper, Kinsley\"\ne15356,2020/01/31,in the late afternoon,28,\"Hazel, Piper, Lydia\"\ne15357,2020/01/31,in the morning,37,\"Piper, Layla, Eva, Nora\"\ne15360,2020/02/01,in the late afternoon,41,\"Layla, Nevaeh, Nora, Piper\"\ne15367,2020/02/03,late in the evening,16,\"Claire, Avery, Lydia, Eva\"\ne15370,2020/02/04,in the late afternoon,30,\"Claire, Kinsley, Olivia\"\ne15375,2020/02/05,late in the evening,26,\"Hazel, Avery\"\ne15379,2020/02/06,in the early afternoon,35,\"Piper, Lydia, Avery, Nora\"\ne15381,2020/02/07,late in the evening,20,Layla\ne15388,2020/02/09,late in the evening,39,\"Piper, Rylee\"\ne15389,2020/02/09,in the early afternoon,55,Piper\ne15392,2020/02/10,in the morning,6,\"Olivia, Eva\"\ne15393,2020/02/10,in the late afternoon,21,Lydia\ne15403,2020/02/13,during lunch hours,6,\"Nora, Piper\"\ne15426,2020/02/20,in the early afternoon,40,Layla\ne15429,2020/02/21,in the early afternoon,7,\"Avery, Piper\"\ne15430,2020/02/21,during lunch hours,13,\"Avery, Nora, Olivia, Layla\"\ne15436,2020/02/23,in the early evening,44,\"Lydia, Eva\"\ne15440,2020/02/24,during lunch hours,38,\"Olivia, Claire\"\ne15445,2020/02/25,late in the evening,39,\"Piper, Piper, Layla\"\ne15470,2020/03/02,late in the evening,21,Claire\ne15475,2020/03/03,in the morning,8,\"Piper, Avery, Nora, Lydia\"\ne15482,2020/03/05,late in the evening,36,\"Claire, Eva\"\ne15486,2020/03/06,in the early afternoon,33,\"Claire, Layla, Avery\"\ne15487,2020/03/06,late in the evening,29,\"Lydia, Piper\"\ne15499,2020/03/09,during lunch hours,19,\"Hazel, Claire\"\ne15506,2020/03/11,in the morning,20,\"Kinsley, Nevaeh, Piper, Piper\"\ne15511,2020/03/13,in the late afternoon,8,\"Nora, Layla, Olivia, Piper\"\ne15514,2020/03/14,during lunch hours,25,\"Eva, Claire, Layla\"\ne15515,2020/03/14,in the early evening,7,Layla\ne15521,2020/03/16,in the early afternoon,27,\"Nora, Piper, Olivia\"\ne15527,2020/03/17,in the late afternoon,48,\"Layla, Nora, Piper, Claire\"\ne15532,2020/03/18,in the late afternoon,46,\"Layla, Piper, Claire\"\ne15539,2020/03/19,in the late afternoon,47,\"Piper, Eva, Avery\"\ne15548,2020/03/21,in the morning,32,\"Piper, Eva, Lydia\"\ne15549,2020/03/21,in the early evening,25,\"Layla, Rylee, Piper\"\ne15555,2020/03/22,during lunch hours,9,\"Nevaeh, Eva\"\ne15557,2020/03/23,in the morning,8,\"Lydia, Hazel\"\ne15559,2020/03/24,in the early evening,28,\"Nevaeh, Olivia\"\ne15560,2020/03/24,in the early afternoon,7,Olivia\ne15565,2020/03/25,in the late afternoon,5,Nora\ne15574,2020/03/27,in the late afternoon,18,\"Nora, Claire, Avery\"\ne15581,2020/03/29,in the early evening,11,\"Eva, Piper, Piper, Avery\"\ne15586,2020/03/30,in the early evening,26,\"Piper, Hazel\"\ne15595,2020/04/02,in the late afternoon,26,\"Kinsley, Avery, Piper, Layla\"\ne15606,2020/04/04,in the early evening,53,\"Kinsley, Olivia\"\ne15610,2020/04/05,in the late afternoon,28,\"Eva, Layla, Piper, Hazel\"\ne15614,2020/04/06,in the early evening,9,Claire\ne15618,2020/04/07,in the early afternoon,40,\"Kinsley, Hazel, Avery, Lydia\"\ne15621,2020/04/10,late in the evening,31,\"Avery, Claire\"\ne15624,2020/04/11,late in the evening,46,\"Olivia, Nora, Claire\"\ne15625,2020/04/11,in the late afternoon,24,\"Claire, Kinsley\"\ne15632,2020/04/12,in the morning,8,Lydia\ne15635,2020/04/13,in the early evening,15,\"Piper, Layla\"\ne15638,2020/04/14,late in the evening,7,\"Kinsley, Rylee\"\ne15641,2020/04/15,in the early afternoon,34,\"Olivia, Kinsley, Layla, Piper\"\ne15643,2020/04/16,during lunch hours,24,Nora\ne15652,2020/04/18,in the late afternoon,44,Avery\ne15656,2020/04/19,late in the evening,26,\"Olivia, Kinsley, Nora\"\ne15659,2020/04/21,late in the evening,19,Layla\ne15670,2020/04/24,during lunch hours,39,\"Kinsley, Nevaeh, Lydia, Piper\"\ne15671,2020/04/24,in the early afternoon,46,\"Kinsley, Piper, Piper\"\ne15675,2020/04/25,in the late afternoon,38,\"Olivia, Claire, Eva\"\ne15676,2020/04/25,in the late afternoon,47,\"Hazel, Olivia, Layla\"\ne15680,2020/04/26,during lunch hours,27,\"Claire, Avery, Eva, Lydia\"\ne15683,2020/04/27,in the morning,18,\"Nevaeh, Hazel, Piper, Eva\"\ne15686,2020/04/28,in the early evening,17,\"Nevaeh, Layla, Piper\"\ne15690,2020/04/29,in the late afternoon,27,\"Rylee, Eva\"\ne15693,2020/04/30,in the late afternoon,5,Lydia\ne15697,2020/05/01,in the late afternoon,27,\"Lydia, Piper, Claire\"\ne15702,2020/05/03,late in the evening,40,\"Hazel, Piper, Claire, Kinsley\"\ne15711,2020/05/05,in the early afternoon,15,\"Piper, Nora\"\ne15717,2020/05/07,in the morning,54,\"Lydia, Eva, Hazel\"\ne15723,2020/05/08,in the early afternoon,52,\"Nora, Rylee, Kinsley, Lydia\"\ne15734,2020/05/11,during lunch hours,6,\"Nevaeh, Avery, Rylee\"\ne15743,2020/05/14,in the morning,48,\"Claire, Rylee\"\ne15747,2020/05/15,in the early afternoon,15,Hazel\ne15749,2020/05/16,in the late afternoon,16,\"Piper, Eva, Layla\"\ne15750,2020/05/16,late in the evening,46,\"Nora, Eva, Hazel\"\ne15755,2020/05/17,late in the evening,9,\"Layla, Kinsley\"\ne15756,2020/05/17,in the late afternoon,34,\"Olivia, Piper, Kinsley, Eva\"\ne15759,2020/05/18,late in the evening,35,\"Nora, Claire\"\ne15764,2020/05/20,in the morning,55,\"Nevaeh, Piper, Kinsley\"\ne15775,2020/05/23,in the late afternoon,50,\"Rylee, Piper\"\ne15776,2020/05/23,in the early evening,15,\"Lydia, Hazel\"\ne15779,2020/05/24,during lunch hours,42,\"Eva, Piper\"\ne15786,2020/05/26,in the late afternoon,40,\"Nevaeh, Layla, Rylee\"\ne15789,2020/05/28,in the late afternoon,28,\"Piper, Layla\"\ne15793,2020/05/29,in the early afternoon,28,Nora\ne15797,2020/05/30,late in the evening,37,Claire\ne15798,2020/05/30,during lunch hours,23,\"Nora, Olivia\"\ne15805,2020/06/01,during lunch hours,23,\"Olivia, Kinsley, Rylee\"\ne15814,2020/06/04,during lunch hours,29,Hazel\ne15818,2020/06/05,during lunch hours,21,\"Nora, Layla\"\ne15822,2020/06/06,in the early afternoon,34,Olivia\ne15825,2020/06/07,in the morning,13,\"Kinsley, Layla, Olivia, Claire\"\ne15826,2020/06/07,in the early evening,25,\"Piper, Nevaeh, Claire, Kinsley\"\ne15828,2020/06/08,late in the evening,44,\"Olivia, Nevaeh\"\ne15833,2020/06/09,in the late afternoon,15,\"Nevaeh, Piper, Avery\"\ne15836,2020/06/10,in the early evening,51,Piper\ne15843,2020/06/12,during lunch hours,10,\"Hazel, Kinsley, Layla, Piper\"\ne15844,2020/06/12,in the late afternoon,51,\"Claire, Olivia, Avery\"\ne15847,2020/06/13,in the early evening,21,\"Eva, Avery, Olivia, Lydia\"\ne15849,2020/06/14,in the late afternoon,42,\"Lydia, Kinsley, Piper\"\ne15856,2020/06/16,in the early afternoon,21,\"Piper, Layla, Eva, Piper\"\ne15867,2020/06/19,late in the evening,39,Rylee\ne15868,2020/06/19,in the morning,22,Lydia\ne15874,2020/06/20,in the early afternoon,41,Hazel\ne15877,2020/06/21,in the early evening,48,\"Claire, Rylee\"\ne15880,2020/06/22,in the morning,29,\"Hazel, Avery, Kinsley, Lydia\"\ne15886,2020/06/24,in the early afternoon,24,\"Nora, Piper\"\ne15890,2020/06/25,in the morning,39,\"Olivia, Nevaeh, Claire, Hazel\"\ne15895,2020/06/26,late in the evening,55,\"Eva, Olivia\"\ne15900,2020/06/27,during lunch hours,33,\"Kinsley, Nevaeh, Nora, Olivia\"\ne15911,2020/07/01,in the early afternoon,28,\"Layla, Piper, Claire, Avery\"\ne15926,2020/07/05,in the morning,28,\"Eva, Lydia\"\ne15932,2020/07/06,late in the evening,39,\"Lydia, Eva, Olivia, Rylee\"\ne15938,2020/07/08,late in the evening,45,\"Avery, Lydia, Rylee, Nora\"\ne15939,2020/07/08,in the morning,47,Piper\ne15944,2020/07/10,in the morning,44,\"Eva, Layla, Piper\"\ne15952,2020/07/12,in the morning,40,\"Nora, Piper, Claire\"\ne15957,2020/07/13,in the late afternoon,26,\"Kinsley, Nevaeh\"\ne15960,2020/07/14,in the early evening,55,Nora\ne15961,2020/07/14,during lunch hours,45,\"Claire, Nora, Lydia, Kinsley\"\ne15967,2020/07/15,during lunch hours,10,\"Layla, Piper, Nevaeh, Lydia\"\ne15968,2020/07/15,late in the evening,28,\"Piper, Hazel, Eva\"\ne15973,2020/07/16,in the morning,18,\"Avery, Piper, Hazel, Layla\"\ne15974,2020/07/17,during lunch hours,7,Nevaeh\ne15975,2020/07/17,in the early evening,53,\"Piper, Claire, Layla\"\ne15984,2020/07/19,in the morning,40,\"Hazel, Kinsley, Piper, Layla\"\ne15989,2020/07/20,in the early evening,36,\"Avery, Nevaeh, Layla\"\ne15995,2020/07/22,late in the evening,21,\"Lydia, Piper, Kinsley\"\ne15999,2020/07/24,during lunch hours,27,Piper\ne16013,2020/07/27,late in the evening,9,Hazel\ne16018,2020/07/28,during lunch hours,28,\"Nora, Kinsley, Hazel\"\ne16019,2020/07/28,in the early afternoon,34,\"Rylee, Piper\"\ne16024,2020/07/29,in the morning,31,Lydia\ne16032,2020/07/31,during lunch hours,18,\"Hazel, Piper, Eva, Nevaeh\"\ne16038,2020/08/02,in the morning,14,\"Hazel, Olivia\"\ne16041,2020/08/03,late in the evening,42,\"Eva, Lydia\"\ne16042,2020/08/03,in the early evening,12,\"Olivia, Lydia, Piper, Piper\"\ne16044,2020/08/04,during lunch hours,18,Layla\ne16049,2020/08/05,in the late afternoon,15,\"Layla, Piper, Rylee\"\ne16052,2020/08/06,in the morning,50,\"Claire, Hazel, Olivia, Lydia\"\ne16058,2020/08/07,in the early evening,15,\"Avery, Piper\"\ne16072,2020/08/11,in the early evening,46,Avery\ne16076,2020/08/12,during lunch hours,53,\"Eva, Piper, Kinsley, Lydia\"\ne16080,2020/08/13,late in the evening,25,\"Avery, Piper, Lydia\"\ne16088,2020/08/15,in the early afternoon,47,\"Kinsley, Lydia, Piper\"\ne16093,2020/08/16,in the early afternoon,36,\"Eva, Nevaeh, Hazel, Rylee\"\ne16096,2020/08/17,in the morning,30,\"Layla, Rylee, Piper\"\ne16100,2020/08/18,late in the evening,21,Claire\ne16102,2020/08/19,in the morning,10,Rylee\ne16109,2020/08/21,in the early afternoon,36,Eva\ne16112,2020/08/22,in the early evening,27,\"Piper, Lydia, Hazel, Avery\"\ne16115,2020/08/23,late in the evening,51,\"Lydia, Hazel\"\ne16116,2020/08/23,in the late afternoon,49,\"Kinsley, Lydia\"\ne16121,2020/08/25,in the late afternoon,51,Eva\ne16122,2020/08/25,in the early evening,39,\"Claire, Avery, Piper, Kinsley\"\ne16132,2020/08/28,in the early evening,17,\"Eva, Kinsley, Piper, Lydia\"\ne16139,2020/08/30,in the morning,32,\"Avery, Piper, Piper, Hazel\"\ne16144,2020/08/31,during lunch hours,34,\"Layla, Eva, Nevaeh, Lydia\"\ne16149,2020/09/01,in the morning,25,Kinsley\ne16152,2020/09/02,in the morning,26,\"Avery, Claire, Eva\"\ne16158,2020/09/03,in the late afternoon,10,\"Nevaeh, Avery, Claire\"\ne16163,2020/09/04,in the early afternoon,46,\"Piper, Hazel\"\ne16164,2020/09/04,in the late afternoon,14,\"Layla, Kinsley, Claire, Nevaeh\"\ne16168,2020/09/05,during lunch hours,46,\"Hazel, Avery, Claire\"\ne16169,2020/09/06,in the morning,50,\"Nora, Eva, Kinsley, Avery\"\ne16173,2020/09/07,during lunch hours,27,\"Layla, Olivia, Eva, Claire\"\ne16177,2020/09/08,in the early evening,42,\"Avery, Rylee\"\ne16187,2020/09/10,in the morning,23,\"Eva, Avery, Layla\"\ne16192,2020/09/11,in the early evening,49,\"Nora, Piper, Rylee, Nevaeh\"\ne16196,2020/09/12,in the early afternoon,28,\"Nevaeh, Claire, Lydia, Nora\"\ne16199,2020/09/13,during lunch hours,16,Nora\ne16202,2020/09/14,late in the evening,24,Olivia\ne16205,2020/09/15,in the late afternoon,7,\"Hazel, Piper, Lydia, Nevaeh\"\ne16208,2020/09/16,late in the evening,20,\"Olivia, Piper, Eva\"\ne16212,2020/09/17,in the early evening,26,\"Lydia, Olivia, Hazel, Layla\"\ne16216,2020/09/18,in the late afternoon,54,\"Lydia, Claire, Nevaeh\"\ne16218,2020/09/19,in the late afternoon,45,\"Rylee, Avery, Layla\"\ne16222,2020/09/20,during lunch hours,36,Rylee\ne16224,2020/09/21,during lunch hours,14,\"Lydia, Avery, Eva\"\ne16229,2020/09/22,during lunch hours,11,Kinsley\ne16233,2020/09/23,in the morning,28,\"Rylee, Kinsley, Piper\"\ne16234,2020/09/23,in the morning,20,\"Piper, Rylee, Kinsley, Olivia\"\ne16238,2020/09/24,during lunch hours,14,\"Piper, Rylee\"\ne16251,2020/09/28,in the early evening,14,Layla\ne16254,2020/09/29,during lunch hours,38,\"Avery, Nevaeh, Olivia\"\ne16257,2020/09/30,in the morning,43,\"Kinsley, Eva, Lydia\"\ne16261,2020/10/01,in the early afternoon,46,Piper\ne16264,2020/10/02,in the early afternoon,43,\"Avery, Eva, Rylee, Olivia\"\ne16267,2020/10/03,in the late afternoon,47,\"Olivia, Nevaeh, Nora\"\ne16271,2020/10/04,late in the evening,34,\"Nora, Piper, Eva, Claire\"\ne16276,2020/10/05,in the early afternoon,24,\"Nevaeh, Kinsley, Hazel, Rylee\"\ne16277,2020/10/05,in the early afternoon,54,\"Piper, Nevaeh, Nora\"\ne16286,2020/10/09,in the morning,11,Nora\ne16287,2020/10/09,in the early afternoon,13,\"Hazel, Claire, Avery\"\ne16291,2020/10/10,during lunch hours,25,\"Eva, Lydia\"\ne16300,2020/10/13,late in the evening,42,\"Piper, Hazel\"\ne16301,2020/10/13,in the late afternoon,40,\"Nevaeh, Claire, Piper\"\ne16304,2020/10/14,in the morning,44,\"Lydia, Hazel, Avery, Kinsley\"\ne16305,2020/10/14,during lunch hours,22,\"Kinsley, Avery, Rylee\"\ne16310,2020/10/16,in the late afternoon,29,\"Kinsley, Nora, Nevaeh\"\ne16311,2020/10/16,in the early afternoon,21,\"Layla, Hazel, Rylee, Claire\"\ne16315,2020/10/18,in the morning,47,\"Kinsley, Nevaeh, Eva\"\ne16316,2020/10/18,in the early evening,54,\"Nora, Claire\"\ne16318,2020/10/19,late in the evening,51,\"Rylee, Piper, Claire, Piper\"\ne16321,2020/10/20,in the early afternoon,20,\"Eva, Claire\"\ne16327,2020/10/21,late in the evening,30,\"Olivia, Rylee, Claire, Kinsley\"\ne16330,2020/10/22,in the late afternoon,52,Layla\ne16334,2020/10/23,in the morning,25,\"Lydia, Layla\"\ne16335,2020/10/23,in the early afternoon,51,\"Nora, Eva, Olivia\"\ne16338,2020/10/24,in the early evening,12,Layla\ne16343,2020/10/25,late in the evening,54,\"Piper, Nora, Lydia, Rylee\"\ne16348,2020/10/27,in the early evening,29,\"Nevaeh, Layla, Piper, Avery\"\ne16351,2020/10/28,in the late afternoon,7,\"Nevaeh, Piper, Lydia, Nora\"\ne16354,2020/10/29,in the morning,34,\"Rylee, Eva\"\ne16359,2020/10/30,in the early evening,12,\"Nora, Olivia, Rylee\"\ne16360,2020/10/30,during lunch hours,5,\"Olivia, Nora, Rylee\"\ne16365,2020/10/31,in the morning,25,\"Olivia, Avery, Piper, Eva\"\ne16369,2020/11/01,in the morning,53,Avery\ne16373,2020/11/02,in the early afternoon,32,\"Kinsley, Lydia, Piper\"\ne16378,2020/11/03,during lunch hours,47,\"Olivia, Kinsley\"\ne16385,2020/11/05,in the early afternoon,9,\"Eva, Hazel, Avery, Claire\"\ne16391,2020/11/07,in the early evening,44,\"Lydia, Olivia, Layla, Piper\"\ne16399,2020/11/09,in the morning,55,\"Piper, Hazel, Eva\"\ne16400,2020/11/09,in the early evening,30,Rylee\ne16415,2020/11/13,in the late afternoon,14,\"Rylee, Claire\"\ne16416,2020/11/13,late in the evening,36,\"Layla, Eva, Avery\"\ne16424,2020/11/15,in the morning,9,Layla\ne16426,2020/11/17,during lunch hours,49,Rylee\ne16428,2020/11/18,in the early afternoon,25,\"Rylee, Nevaeh, Claire\"\ne16432,2020/11/19,in the morning,16,\"Avery, Piper\"\ne16434,2020/11/20,in the morning,32,\"Claire, Rylee, Nora, Lydia\"\ne16435,2020/11/20,during lunch hours,34,Rylee\ne16443,2020/11/22,in the early afternoon,18,Claire\ne16449,2020/11/23,in the late afternoon,12,\"Olivia, Nevaeh\"\ne16453,2020/11/24,late in the evening,36,\"Lydia, Rylee\"\ne16458,2020/11/25,in the early afternoon,17,\"Claire, Olivia\"\ne16463,2020/11/26,in the late afternoon,9,\"Piper, Kinsley, Layla\"\ne16468,2020/11/27,in the morning,10,\"Nora, Lydia, Nevaeh, Hazel\"\ne16471,2020/11/28,in the early evening,52,Rylee\ne16472,2020/11/28,in the early afternoon,8,\"Olivia, Rylee, Piper\"\ne16474,2020/11/29,in the morning,9,\"Nevaeh, Rylee\"\ne16478,2020/11/30,during lunch hours,34,\"Piper, Olivia\"\ne16479,2020/11/30,in the morning,14,\"Rylee, Claire, Nevaeh, Nora\"\ne16483,2020/12/01,in the late afternoon,41,\"Kinsley, Avery, Rylee, Olivia\"\ne16488,2020/12/02,in the late afternoon,55,\"Nevaeh, Lydia, Eva\"\ne16491,2020/12/03,in the morning,9,\"Hazel, Piper\"\ne16495,2020/12/04,in the morning,19,\"Piper, Nora, Kinsley, Eva\"\ne16504,2020/12/06,during lunch hours,53,Eva\ne16505,2020/12/06,in the late afternoon,15,\"Rylee, Hazel, Nevaeh, Lydia\"\ne16509,2020/12/07,in the early afternoon,34,\"Layla, Rylee, Eva, Piper\"\ne16512,2020/12/08,in the morning,27,\"Claire, Kinsley, Avery, Piper\"\ne16513,2020/12/08,late in the evening,43,\"Nevaeh, Nora, Claire, Kinsley\"\ne16522,2020/12/12,in the morning,21,\"Kinsley, Eva\"\ne16529,2020/12/14,in the morning,39,\"Layla, Eva\"\ne16533,2020/12/15,in the early afternoon,46,Rylee\ne16537,2020/12/16,in the early afternoon,28,\"Olivia, Lydia, Claire, Eva\"\ne16538,2020/12/16,in the early evening,13,\"Nevaeh, Claire\"\ne16541,2020/12/17,in the late afternoon,27,\"Kinsley, Olivia, Piper, Avery\"\ne16545,2020/12/18,in the late afternoon,42,Nora\ne16546,2020/12/18,in the morning,30,\"Nevaeh, Hazel, Eva, Claire\"\ne16550,2020/12/19,during lunch hours,33,\"Lydia, Nevaeh, Piper, Hazel\"\ne16551,2020/12/19,in the late afternoon,25,\"Claire, Layla, Nevaeh\"\ne16555,2020/12/20,in the late afternoon,17,\"Nevaeh, Layla, Olivia, Piper\"\ne16562,2020/12/22,in the early evening,49,Claire\ne16570,2020/12/24,in the early afternoon,19,Layla\ne16571,2020/12/24,in the late afternoon,18,Olivia\ne16579,2020/12/26,in the morning,7,\"Avery, Piper, Layla, Rylee\"\ne16580,2020/12/26,in the late afternoon,49,\"Hazel, Nora, Kinsley\"\ne16586,2020/12/28,in the early evening,19,Layla\ne16591,2020/12/30,late in the evening,50,Olivia\ne16729,2021/01/01,in the early afternoon,50,\"Eva, Claire\"\ne16735,2021/01/02,in the morning,41,\"Hazel, Piper, Nevaeh, Olivia\"\ne16740,2021/01/03,in the morning,49,Kinsley\ne16744,2021/01/04,in the morning,17,\"Kinsley, Hazel, Piper, Eva\"\ne16749,2021/01/05,late in the evening,19,\"Olivia, Rylee, Nevaeh, Kinsley\"\ne16757,2021/01/07,in the early afternoon,55,\"Kinsley, Rylee, Eva, Nora\"\ne16758,2021/01/07,in the late afternoon,38,\"Kinsley, Rylee\"\ne16765,2021/01/09,in the morning,24,\"Layla, Avery\"\ne16766,2021/01/09,in the late afternoon,41,\"Piper, Claire\"\ne16772,2021/01/11,in the early afternoon,25,Layla\ne16779,2021/01/13,in the late afternoon,29,\"Olivia, Kinsley, Claire, Piper\"\ne16787,2021/01/15,in the early afternoon,7,Rylee\ne16791,2021/01/16,late in the evening,51,Rylee\ne16796,2021/01/17,during lunch hours,9,\"Kinsley, Nevaeh, Layla, Nora\"\ne16800,2021/01/19,late in the evening,10,Avery\ne16804,2021/01/20,during lunch hours,10,\"Nora, Nevaeh\"\ne16808,2021/01/22,in the morning,18,\"Piper, Olivia, Rylee\"\ne16810,2021/01/23,in the early afternoon,20,\"Lydia, Eva, Nora\"\ne16820,2021/01/27,in the early afternoon,10,\"Lydia, Kinsley\"\ne16831,2021/01/30,in the morning,38,Lydia\ne16837,2021/01/31,during lunch hours,39,\"Claire, Piper\"\ne16841,2021/02/01,in the early evening,29,\"Lydia, Kinsley, Layla, Nora\"\ne16842,2021/02/01,in the morning,13,\"Layla, Avery\"\ne16850,2021/02/03,late in the evening,32,Avery\ne16855,2021/02/05,in the early afternoon,23,Rylee\ne16865,2021/02/09,in the morning,52,\"Rylee, Layla, Piper\"\ne16869,2021/02/10,in the early evening,35,Claire\ne16879,2021/02/13,during lunch hours,50,\"Lydia, Nora\"\ne16885,2021/02/15,during lunch hours,30,\"Nevaeh, Avery, Rylee\"\ne16886,2021/02/15,in the early afternoon,52,\"Kinsley, Layla\"\ne16895,2021/02/18,in the morning,35,\"Eva, Avery, Olivia, Piper\"\ne16897,2021/02/19,late in the evening,9,\"Nevaeh, Piper, Kinsley, Olivia\"\ne16900,2021/02/20,during lunch hours,12,\"Rylee, Eva\"\ne16903,2021/02/22,in the morning,17,\"Piper, Hazel, Olivia, Nora\"\ne16908,2021/02/25,during lunch hours,42,\"Eva, Nora, Hazel\"\ne16918,2021/02/28,in the early afternoon,21,\"Piper, Avery\"\ne16921,2021/03/01,late in the evening,32,\"Nora, Rylee\"\ne16926,2021/03/02,in the early evening,25,Nevaeh\ne16930,2021/03/03,in the early afternoon,51,\"Claire, Kinsley, Nevaeh\"\ne16936,2021/03/04,during lunch hours,11,Nora\ne16940,2021/03/05,in the early evening,17,Claire\ne16941,2021/03/05,during lunch hours,43,\"Layla, Lydia, Hazel, Eva\"\ne16947,2021/03/06,late in the evening,53,\"Lydia, Piper, Rylee, Piper\"\ne16951,2021/03/07,in the early afternoon,29,\"Lydia, Olivia, Kinsley\"\ne16953,2021/03/08,in the early evening,45,Nevaeh\ne16958,2021/03/09,in the late afternoon,40,\"Kinsley, Piper, Nora, Nevaeh\"\ne16962,2021/03/10,in the morning,30,\"Layla, Nevaeh, Lydia\"\ne16970,2021/03/13,in the early afternoon,25,\"Layla, Nevaeh, Olivia\"\ne16978,2021/03/15,in the morning,40,Olivia\ne16987,2021/03/18,in the early evening,13,Claire\ne16991,2021/03/19,in the morning,33,Hazel\ne16992,2021/03/19,late in the evening,17,\"Piper, Kinsley, Claire, Hazel\"\ne16999,2021/03/21,during lunch hours,17,\"Piper, Lydia\"\ne17002,2021/03/22,in the early afternoon,40,Claire\ne17009,2021/03/24,late in the evening,33,\"Layla, Piper, Nevaeh, Avery\"\ne17012,2021/03/25,late in the evening,39,\"Nevaeh, Piper, Eva\"\ne17016,2021/03/26,during lunch hours,38,\"Eva, Kinsley, Nevaeh, Avery\"\ne17020,2021/03/27,in the early evening,32,\"Piper, Avery, Lydia\"\ne17021,2021/03/27,during lunch hours,11,Piper\ne17026,2021/03/28,in the early afternoon,37,\"Piper, Rylee\"\ne17030,2021/03/30,in the early afternoon,44,\"Kinsley, Claire, Layla, Nora\"\ne17041,2021/04/02,in the early afternoon,36,Rylee\ne17046,2021/04/03,during lunch hours,9,\"Layla, Lydia, Eva, Avery\"\ne17047,2021/04/03,in the morning,8,Claire\ne17052,2021/04/05,in the morning,45,\"Rylee, Layla\"\ne17053,2021/04/05,in the early afternoon,12,\"Rylee, Avery, Hazel, Nevaeh\"\ne17057,2021/04/06,in the early evening,22,\"Piper, Olivia, Eva\"\ne17072,2021/04/11,in the late afternoon,6,\"Nevaeh, Hazel, Claire\"\ne17085,2021/04/14,in the late afternoon,34,Rylee\ne17088,2021/04/15,late in the evening,25,Piper\ne17091,2021/04/16,in the early afternoon,52,\"Hazel, Piper\"\ne17098,2021/04/18,late in the evening,15,Claire\ne17104,2021/04/19,in the late afternoon,7,Nevaeh\ne17113,2021/04/22,late in the evening,14,\"Layla, Avery, Olivia\"\ne17116,2021/04/23,in the morning,37,Rylee\ne17117,2021/04/23,in the early afternoon,28,\"Lydia, Nora, Piper, Claire\"\ne17124,2021/04/25,in the morning,33,\"Kinsley, Lydia, Layla, Avery\"\ne17129,2021/04/26,during lunch hours,51,Hazel\ne17130,2021/04/26,in the morning,28,Nora\ne17140,2021/04/29,in the early evening,28,Claire\ne17159,2021/05/04,in the early afternoon,43,\"Claire, Rylee, Piper\"\ne17160,2021/05/04,in the early evening,42,\"Hazel, Piper\"\ne17162,2021/05/05,in the morning,26,\"Olivia, Hazel\"\ne17165,2021/05/06,in the early evening,44,\"Piper, Avery, Rylee\"\ne17172,2021/05/08,during lunch hours,50,\"Layla, Olivia\"\ne17173,2021/05/08,in the late afternoon,44,\"Eva, Kinsley, Nevaeh, Olivia\"\ne17176,2021/05/09,in the early evening,37,Lydia\ne17181,2021/05/10,during lunch hours,14,\"Avery, Nora\"\ne17186,2021/05/11,during lunch hours,35,\"Avery, Olivia\"\ne17187,2021/05/11,in the early evening,43,\"Avery, Piper, Lydia\"\ne17191,2021/05/12,in the late afternoon,45,Layla\ne17194,2021/05/13,in the morning,39,\"Kinsley, Hazel, Lydia, Eva\"\ne17205,2021/05/17,in the early evening,50,\"Nora, Hazel, Nevaeh\"\ne17208,2021/05/18,in the late afternoon,47,Layla\ne17214,2021/05/19,during lunch hours,31,Olivia\ne17219,2021/05/20,late in the evening,45,\"Rylee, Olivia, Lydia\"\ne17227,2021/05/22,in the early evening,26,Kinsley\ne17239,2021/05/25,in the morning,12,\"Hazel, Piper, Piper\"\ne17242,2021/05/26,in the early afternoon,29,Piper\ne17246,2021/05/28,in the morning,37,Kinsley\ne17249,2021/05/29,in the early afternoon,34,\"Lydia, Layla, Nora\"\ne17253,2021/05/30,during lunch hours,35,\"Layla, Hazel, Nora, Nevaeh\"\ne17257,2021/05/31,in the early evening,13,Nora\ne17258,2021/05/31,in the early afternoon,30,\"Claire, Piper, Kinsley\"\ne17269,2021/06/03,in the early evening,23,Hazel\ne17272,2021/06/04,in the late afternoon,28,\"Olivia, Avery\"\ne17278,2021/06/05,in the early evening,49,\"Nevaeh, Piper, Avery, Rylee\"\ne17283,2021/06/06,in the early evening,11,\"Layla, Rylee, Olivia, Eva\"\ne17284,2021/06/06,late in the evening,39,\"Lydia, Rylee, Claire, Nora\"\ne17289,2021/06/07,in the early afternoon,54,Rylee\ne17290,2021/06/07,in the morning,36,\"Nevaeh, Lydia\"\ne17294,2021/06/08,late in the evening,6,\"Lydia, Eva\"\ne17300,2021/06/09,in the late afternoon,29,\"Rylee, Kinsley, Olivia\"\ne17301,2021/06/09,in the early afternoon,11,Kinsley\ne17304,2021/06/11,in the early evening,28,Layla\ne17305,2021/06/11,in the late afternoon,41,\"Claire, Nevaeh, Nora, Hazel\"\ne17320,2021/06/14,in the early afternoon,48,\"Hazel, Nora, Olivia\"\ne17333,2021/06/18,in the early evening,30,\"Rylee, Olivia\"\ne17348,2021/06/23,in the morning,5,\"Olivia, Eva, Hazel, Piper\"\ne17349,2021/06/23,in the late afternoon,43,\"Piper, Claire, Kinsley\"\ne17356,2021/06/25,in the morning,29,\"Piper, Claire\"\ne17361,2021/06/27,in the early evening,41,\"Nora, Layla, Nevaeh, Claire\"\ne17362,2021/06/27,in the morning,50,\"Hazel, Layla, Avery, Lydia\"\ne17367,2021/06/28,in the morning,17,Nevaeh\ne17368,2021/06/28,in the late afternoon,49,Claire\ne17374,2021/06/29,in the morning,31,Piper\ne17378,2021/06/30,late in the evening,11,\"Olivia, Piper\"\ne17379,2021/06/30,in the morning,27,Piper\ne17388,2021/07/03,during lunch hours,36,Avery\ne17393,2021/07/04,in the morning,36,\"Kinsley, Nora, Rylee\"\ne17402,2021/07/06,late in the evening,6,Piper\ne17408,2021/07/07,in the early afternoon,33,\"Rylee, Claire, Piper\"\ne17414,2021/07/08,late in the evening,50,\"Rylee, Claire, Lydia\"\ne17418,2021/07/09,in the early evening,24,\"Nevaeh, Piper, Layla\"\ne17421,2021/07/10,in the early evening,11,\"Rylee, Piper, Kinsley, Hazel\"\ne17422,2021/07/10,in the early evening,39,\"Olivia, Lydia, Layla, Piper\"\ne17425,2021/07/11,in the early afternoon,54,\"Kinsley, Eva\"\ne17433,2021/07/13,in the early afternoon,20,\"Hazel, Piper, Avery\"\ne17444,2021/07/16,during lunch hours,5,\"Avery, Olivia, Piper\"\ne17445,2021/07/16,in the late afternoon,28,Hazel\ne17450,2021/07/17,in the late afternoon,10,\"Eva, Olivia\"\ne17451,2021/07/17,in the early afternoon,20,\"Nora, Layla, Kinsley\"\ne17457,2021/07/18,late in the evening,20,\"Layla, Nevaeh, Nora\"\ne17459,2021/07/19,in the late afternoon,45,\"Nora, Nevaeh, Eva\"\ne17465,2021/07/20,in the early afternoon,48,\"Layla, Eva, Hazel, Nevaeh\"\ne17470,2021/07/22,in the early evening,19,Avery\ne17471,2021/07/22,in the morning,26,\"Nora, Claire\"\ne17472,2021/07/23,in the morning,28,\"Nevaeh, Piper\"\ne17477,2021/07/24,in the early afternoon,38,Layla\ne17478,2021/07/25,in the early afternoon,32,\"Piper, Olivia, Hazel, Rylee\"\ne17481,2021/07/26,late in the evening,28,\"Nora, Lydia\"\ne17489,2021/07/28,in the early evening,17,\"Olivia, Nevaeh, Eva\"\ne17496,2021/07/30,during lunch hours,6,\"Kinsley, Eva, Avery\"\ne17503,2021/08/01,late in the evening,46,\"Piper, Rylee\"\ne17507,2021/08/02,in the early afternoon,38,\"Kinsley, Nora, Hazel, Claire\"\ne17519,2021/08/04,late in the evening,21,\"Kinsley, Nevaeh, Piper, Avery\"\ne17525,2021/08/05,in the late afternoon,21,\"Layla, Nevaeh\"\ne17533,2021/08/07,in the early afternoon,42,\"Avery, Nevaeh, Rylee, Kinsley\"\ne17536,2021/08/08,during lunch hours,19,\"Kinsley, Nevaeh\"\ne17545,2021/08/10,in the early afternoon,20,\"Lydia, Eva\"\ne17546,2021/08/10,late in the evening,13,\"Hazel, Layla, Nora\"\ne17554,2021/08/12,in the late afternoon,50,Rylee\ne17558,2021/08/13,late in the evening,5,Hazel\ne17560,2021/08/14,in the early afternoon,15,\"Eva, Hazel\"\ne17563,2021/08/15,in the late afternoon,54,\"Layla, Nevaeh, Lydia\"\ne17564,2021/08/15,during lunch hours,27,\"Piper, Nora, Lydia, Hazel\"\ne17568,2021/08/16,late in the evening,24,\"Piper, Nora, Kinsley\"\ne17576,2021/08/18,in the late afternoon,32,\"Nora, Piper, Rylee, Piper\"\ne17577,2021/08/18,in the late afternoon,50,Rylee\ne17581,2021/08/19,in the late afternoon,54,\"Rylee, Eva, Kinsley\"\ne17586,2021/08/20,during lunch hours,28,Layla\ne17589,2021/08/21,in the late afternoon,41,Kinsley\ne17591,2021/08/23,in the early evening,39,\"Lydia, Olivia, Layla, Piper\"\ne17596,2021/08/24,late in the evening,20,Eva\ne17600,2021/08/25,in the early afternoon,42,\"Rylee, Nora\"\ne17606,2021/08/26,during lunch hours,49,Piper\ne17614,2021/08/28,during lunch hours,36,Avery\ne17629,2021/09/01,in the late afternoon,17,\"Rylee, Lydia, Kinsley\"\ne17636,2021/09/03,in the late afternoon,9,\"Nevaeh, Layla, Kinsley\"\ne17643,2021/09/04,in the early afternoon,38,\"Lydia, Olivia, Layla, Avery\"\ne17644,2021/09/04,in the early afternoon,15,Rylee\ne17658,2021/09/07,in the late afternoon,55,\"Avery, Claire, Piper, Nevaeh\"\ne17663,2021/09/08,in the early afternoon,32,\"Layla, Olivia, Lydia, Avery\"\ne17667,2021/09/09,in the morning,54,Piper\ne17668,2021/09/09,in the late afternoon,28,Olivia\ne17671,2021/09/10,in the early afternoon,40,\"Claire, Nora, Olivia\"\ne17672,2021/09/10,during lunch hours,41,\"Rylee, Hazel, Piper, Kinsley\"\ne17677,2021/09/12,during lunch hours,7,\"Avery, Piper, Rylee\"\ne17680,2021/09/13,in the late afternoon,32,\"Layla, Avery, Claire\"\ne17681,2021/09/13,during lunch hours,45,Kinsley\ne17688,2021/09/15,in the morning,6,Kinsley\ne17692,2021/09/16,in the early afternoon,35,Eva\ne17693,2021/09/16,in the early afternoon,17,\"Piper, Nevaeh, Layla, Claire\"\ne17696,2021/09/17,late in the evening,25,\"Kinsley, Nevaeh, Hazel\"\ne17700,2021/09/18,in the early afternoon,33,\"Avery, Kinsley, Eva\"\ne17705,2021/09/19,in the early evening,51,Kinsley\ne17710,2021/09/20,in the morning,40,\"Piper, Hazel, Kinsley, Claire\"\ne17715,2021/09/21,in the early afternoon,39,\"Layla, Kinsley, Piper, Rylee\"\ne17723,2021/09/23,in the early afternoon,36,\"Piper, Hazel\"\ne17724,2021/09/23,during lunch hours,49,Nora\ne17730,2021/09/25,in the morning,39,\"Nora, Eva, Nevaeh\"\ne17736,2021/09/26,late in the evening,36,\"Piper, Eva, Nora, Lydia\"\ne17744,2021/09/28,in the late afternoon,6,\"Nora, Lydia, Olivia, Avery\"\ne17748,2021/09/29,in the late afternoon,39,Olivia\ne17754,2021/10/01,during lunch hours,46,Avery\ne17761,2021/10/03,in the early evening,54,\"Piper, Nevaeh, Eva, Avery\"\ne17766,2021/10/04,during lunch hours,55,\"Kinsley, Piper, Eva, Claire\"\ne17769,2021/10/05,in the morning,46,\"Piper, Piper\"\ne17772,2021/10/06,in the early evening,9,\"Piper, Olivia, Eva, Piper\"\ne17773,2021/10/06,in the early evening,52,Eva\ne17778,2021/10/07,during lunch hours,7,Hazel\ne17784,2021/10/09,in the early evening,7,\"Claire, Kinsley, Piper\"\ne17789,2021/10/10,during lunch hours,51,\"Nevaeh, Hazel\"\ne17797,2021/10/12,during lunch hours,37,Layla\ne17798,2021/10/12,late in the evening,18,\"Claire, Piper, Hazel, Kinsley\"\ne17801,2021/10/13,in the morning,10,Avery\ne17804,2021/10/14,during lunch hours,14,Hazel\ne17805,2021/10/14,in the early evening,48,\"Avery, Piper\"\ne17811,2021/10/15,in the morning,46,Piper\ne17815,2021/10/16,late in the evening,35,\"Kinsley, Nevaeh\"\ne17818,2021/10/17,late in the evening,19,\"Nora, Avery, Piper, Claire\"\ne17823,2021/10/19,in the early evening,51,\"Lydia, Avery, Layla\"\ne17824,2021/10/19,in the early afternoon,41,\"Lydia, Nevaeh, Layla, Avery\"\ne17831,2021/10/20,in the morning,38,\"Hazel, Claire, Olivia, Kinsley\"\ne17832,2021/10/20,in the morning,51,Layla\ne17841,2021/10/22,in the early evening,14,\"Layla, Claire\"\ne17842,2021/10/22,in the late afternoon,8,\"Lydia, Rylee, Layla\"\ne17845,2021/10/23,late in the evening,17,Avery\ne17858,2021/10/26,during lunch hours,55,\"Kinsley, Olivia\"\ne17863,2021/10/27,during lunch hours,41,\"Kinsley, Nora\"\ne17867,2021/10/28,in the morning,14,Nora\ne17868,2021/10/28,during lunch hours,39,\"Kinsley, Avery, Layla, Lydia\"\ne17873,2021/10/29,in the early evening,10,\"Lydia, Claire\"\ne17878,2021/10/30,in the early afternoon,16,Piper\ne17886,2021/11/01,in the morning,7,\"Claire, Avery\"\ne17895,2021/11/03,in the early afternoon,23,\"Lydia, Piper\"\ne17905,2021/11/05,in the early afternoon,16,Nora\ne17911,2021/11/07,in the early evening,16,\"Kinsley, Piper\"\ne17916,2021/11/08,in the late afternoon,46,Nevaeh\ne17922,2021/11/09,in the morning,46,Nora\ne17925,2021/11/10,late in the evening,15,\"Piper, Rylee, Kinsley\"\ne17932,2021/11/12,in the early evening,50,Piper\ne17933,2021/11/12,in the morning,32,\"Piper, Nora\"\ne17936,2021/11/13,in the early evening,26,\"Piper, Olivia\"\ne17937,2021/11/13,in the late afternoon,12,\"Lydia, Avery, Rylee, Eva\"\ne17941,2021/11/14,late in the evening,35,\"Avery, Claire, Layla, Nora\"\ne17942,2021/11/14,late in the evening,27,Piper\ne17950,2021/11/17,in the late afternoon,46,\"Nora, Layla, Hazel, Piper\"\ne17951,2021/11/17,in the early evening,49,\"Rylee, Lydia, Layla, Hazel\"\ne17954,2021/11/18,in the early evening,38,\"Nevaeh, Olivia, Rylee, Avery\"\ne17955,2021/11/18,in the early afternoon,49,Lydia\ne17960,2021/11/19,in the early afternoon,5,\"Nevaeh, Olivia, Piper\"\ne17961,2021/11/19,in the early afternoon,37,\"Layla, Eva\"\ne17966,2021/11/20,in the early afternoon,7,Piper\ne17971,2021/11/21,in the morning,46,Olivia\ne17979,2021/11/23,in the late afternoon,54,\"Avery, Hazel, Piper, Layla\"\ne17982,2021/11/24,in the early evening,51,\"Avery, Hazel\"\ne17984,2021/11/25,in the morning,20,Nora\ne17985,2021/11/25,in the late afternoon,35,Hazel\ne17988,2021/11/26,in the early evening,15,\"Claire, Lydia\"\ne17994,2021/11/28,in the morning,37,\"Avery, Nevaeh, Claire\"\ne17999,2021/11/30,late in the evening,6,\"Avery, Piper\"\ne18009,2021/12/03,in the early evening,19,\"Claire, Nora, Piper\"\ne18013,2021/12/05,during lunch hours,24,\"Piper, Hazel, Nora\"\ne18020,2021/12/07,late in the evening,11,\"Lydia, Avery\"\ne18024,2021/12/08,in the early afternoon,26,Nora\ne18025,2021/12/08,in the morning,43,\"Lydia, Kinsley, Olivia\"\ne18029,2021/12/10,in the late afternoon,25,\"Hazel, Olivia, Eva\"\ne18030,2021/12/10,late in the evening,16,\"Piper, Hazel, Avery, Rylee\"\ne18044,2021/12/15,late in the evening,18,\"Piper, Nevaeh\"\ne18047,2021/12/16,late in the evening,10,\"Kinsley, Rylee\"\ne18049,2021/12/17,in the early evening,52,\"Olivia, Layla, Nora, Hazel\"\ne18053,2021/12/18,in the early afternoon,8,\"Claire, Nevaeh\"\ne18054,2021/12/18,in the late afternoon,17,Claire\ne18059,2021/12/19,late in the evening,13,Layla\ne18062,2021/12/20,late in the evening,32,\"Lydia, Layla, Nora, Eva\"\ne18068,2021/12/22,during lunch hours,31,\"Eva, Rylee, Hazel, Nora\"\ne18074,2021/12/23,in the morning,37,\"Claire, Avery\"\ne18078,2021/12/24,in the late afternoon,19,\"Kinsley, Layla, Lydia\"\ne18082,2021/12/26,in the early evening,16,\"Avery, Lydia, Nora\"\ne18083,2021/12/26,late in the evening,32,Olivia\ne18089,2021/12/27,late in the evening,41,\"Olivia, Claire, Layla\"\ne18090,2021/12/27,during lunch hours,21,\"Claire, Kinsley, Piper, Piper\"\ne18101,2021/12/30,in the late afternoon,43,Piper\ne18102,2021/12/30,in the early evening,24,Piper\ne18109,2021/12/31,during lunch hours,37,\"Avery, Olivia, Nevaeh\"\ne18110,2021/12/31,in the early evening,50,\"Hazel, Rylee, Nevaeh, Avery\"\ne18256,2022/01/01,late in the evening,6,Olivia\ne18259,2022/01/02,in the early afternoon,10,\"Nora, Piper, Claire, Eva\"\ne18260,2022/01/02,in the early evening,42,\"Piper, Piper, Rylee\"\ne18264,2022/01/04,in the late afternoon,43,\"Eva, Nevaeh, Claire, Lydia\"\ne18265,2022/01/04,in the early evening,21,\"Kinsley, Nevaeh\"\ne18269,2022/01/05,in the morning,12,Hazel\ne18271,2022/01/06,during lunch hours,15,\"Nevaeh, Avery, Lydia, Hazel\"\ne18274,2022/01/07,during lunch hours,39,\"Layla, Claire\"\ne18276,2022/01/08,late in the evening,24,\"Hazel, Piper, Eva, Olivia\"\ne18280,2022/01/09,late in the evening,43,Olivia\ne18281,2022/01/09,in the early evening,14,\"Kinsley, Hazel, Layla\"\ne18286,2022/01/10,during lunch hours,19,\"Claire, Lydia\"\ne18288,2022/01/11,in the morning,13,\"Piper, Layla, Hazel, Avery\"\ne18289,2022/01/11,in the late afternoon,47,Avery\ne18295,2022/01/12,in the morning,16,\"Nora, Layla\"\ne18298,2022/01/13,in the early evening,27,\"Layla, Avery, Nevaeh, Kinsley\"\ne18299,2022/01/13,in the early evening,25,Layla\ne18310,2022/01/16,late in the evening,44,Hazel\ne18312,2022/01/17,in the late afternoon,55,\"Layla, Avery, Piper\"\ne18319,2022/01/20,in the early evening,46,\"Nora, Rylee, Hazel, Piper\"\ne18321,2022/01/21,in the early afternoon,18,\"Hazel, Nora, Lydia, Kinsley\"\ne18322,2022/01/21,in the early evening,18,\"Nora, Claire, Hazel\"\ne18327,2022/01/22,in the early evening,40,\"Layla, Kinsley\"\ne18341,2022/01/27,in the morning,14,\"Claire, Nora, Piper\"\ne18345,2022/01/28,in the early afternoon,48,\"Lydia, Nora, Eva\"\ne18356,2022/02/01,during lunch hours,47,Eva\ne18361,2022/02/02,in the morning,36,\"Nevaeh, Eva\"\ne18362,2022/02/02,during lunch hours,48,\"Lydia, Piper\"\ne18367,2022/02/03,in the late afternoon,22,Eva\ne18377,2022/02/05,in the early evening,13,Lydia\ne18380,2022/02/06,late in the evening,32,Olivia\ne18386,2022/02/08,in the early afternoon,21,\"Avery, Nevaeh, Rylee\"\ne18387,2022/02/08,late in the evening,38,\"Rylee, Hazel, Piper, Piper\"\ne18389,2022/02/09,late in the evening,7,\"Avery, Hazel, Piper, Claire\"\ne18395,2022/02/11,in the early afternoon,31,\"Eva, Rylee, Hazel, Layla\"\ne18402,2022/02/14,in the early afternoon,8,Nevaeh\ne18410,2022/02/17,in the morning,24,Avery\ne18416,2022/02/19,in the early evening,24,\"Nora, Claire\"\ne18421,2022/02/20,during lunch hours,15,\"Avery, Nevaeh, Eva\"\ne18428,2022/02/22,in the early evening,27,\"Olivia, Kinsley\"\ne18434,2022/02/23,in the late afternoon,43,\"Rylee, Piper, Eva\"\ne18438,2022/02/24,in the late afternoon,49,\"Olivia, Hazel, Lydia\"\ne18444,2022/02/25,in the late afternoon,24,\"Hazel, Piper, Olivia, Avery\"\ne18448,2022/02/26,late in the evening,16,Eva\ne18453,2022/02/28,in the late afternoon,27,\"Piper, Hazel\"\ne18455,2022/03/01,in the early evening,41,\"Hazel, Olivia, Claire\"\ne18459,2022/03/02,in the early evening,46,\"Layla, Avery\"\ne18472,2022/03/05,in the early afternoon,36,\"Lydia, Avery\"\ne18481,2022/03/07,in the early evening,34,\"Nevaeh, Layla, Eva, Kinsley\"\ne18494,2022/03/11,in the early afternoon,50,\"Lydia, Olivia, Hazel, Kinsley\"\ne18498,2022/03/12,late in the evening,35,\"Piper, Lydia, Eva\"\ne18501,2022/03/13,in the early evening,33,\"Claire, Piper, Rylee\"\ne18506,2022/03/14,in the early afternoon,18,\"Lydia, Nora, Layla\"\ne18508,2022/03/15,in the early evening,10,\"Layla, Piper, Claire\"\ne18511,2022/03/16,in the early evening,18,\"Piper, Eva, Piper, Claire\"\ne18513,2022/03/17,in the morning,45,\"Lydia, Olivia, Avery, Nevaeh\"\ne18523,2022/03/20,in the early afternoon,7,\"Claire, Nevaeh, Eva, Layla\"\ne18525,2022/03/21,in the early afternoon,43,Layla\ne18530,2022/03/22,in the early evening,23,\"Layla, Piper, Lydia\"\ne18541,2022/03/26,in the late afternoon,24,\"Olivia, Piper, Nora, Rylee\"\ne18549,2022/03/28,in the early afternoon,28,\"Nora, Layla, Lydia, Claire\"\ne18554,2022/03/29,in the late afternoon,43,Eva\ne18558,2022/03/30,in the early evening,7,\"Claire, Avery\"\ne18570,2022/04/02,late in the evening,27,\"Olivia, Hazel, Layla, Kinsley\"\ne18573,2022/04/03,in the early evening,9,\"Piper, Hazel, Kinsley\"\ne18574,2022/04/03,in the early evening,53,\"Lydia, Hazel, Nora, Layla\"\ne18578,2022/04/04,during lunch hours,32,\"Nora, Hazel\"\ne18588,2022/04/07,in the early evening,39,\"Rylee, Avery\"\ne18591,2022/04/08,in the late afternoon,34,\"Layla, Olivia\"\ne18595,2022/04/09,during lunch hours,23,Nevaeh\ne18598,2022/04/10,in the late afternoon,50,\"Nora, Piper, Claire, Eva\"\ne18606,2022/04/12,in the early afternoon,52,\"Kinsley, Piper, Nevaeh\"\ne18612,2022/04/14,during lunch hours,35,\"Hazel, Olivia\"\ne18615,2022/04/15,in the early evening,29,\"Nevaeh, Piper\"\ne18616,2022/04/15,in the morning,39,\"Olivia, Avery, Piper, Layla\"\ne18635,2022/04/20,in the early afternoon,42,\"Piper, Avery, Piper\"\ne18645,2022/04/23,in the early afternoon,47,\"Olivia, Lydia\"\ne18649,2022/04/24,in the morning,21,Avery\ne18650,2022/04/24,during lunch hours,53,\"Claire, Piper, Avery, Piper\"\ne18653,2022/04/25,during lunch hours,26,\"Piper, Nora, Lydia\"\ne18654,2022/04/25,during lunch hours,20,\"Avery, Nevaeh, Piper\"\ne18663,2022/04/28,in the late afternoon,50,Rylee\ne18669,2022/04/30,late in the evening,20,Piper\ne18673,2022/05/01,in the early afternoon,19,\"Avery, Kinsley, Piper, Hazel\"\ne18677,2022/05/03,during lunch hours,27,\"Lydia, Piper, Rylee\"\ne18680,2022/05/04,in the morning,15,\"Avery, Eva\"\ne18687,2022/05/06,in the morning,53,\"Rylee, Olivia\"\ne18691,2022/05/07,during lunch hours,45,\"Olivia, Rylee\"\ne18694,2022/05/08,during lunch hours,9,\"Piper, Lydia\"\ne18706,2022/05/11,in the early afternoon,23,Hazel\ne18723,2022/05/16,in the morning,44,Nevaeh\ne18724,2022/05/16,in the morning,51,\"Avery, Olivia, Piper\"\ne18732,2022/05/18,during lunch hours,25,\"Nevaeh, Olivia\"\ne18739,2022/05/19,in the early evening,33,\"Piper, Kinsley, Nora, Claire\"\ne18743,2022/05/20,in the early evening,33,\"Eva, Layla\"\ne18746,2022/05/21,in the late afternoon,26,Nora\ne18752,2022/05/23,late in the evening,42,\"Kinsley, Lydia\"\ne18753,2022/05/23,late in the evening,44,\"Hazel, Nora\"\ne18757,2022/05/24,in the late afternoon,24,\"Eva, Piper\"\ne18758,2022/05/24,in the morning,52,\"Claire, Hazel, Rylee, Lydia\"\ne18762,2022/05/25,in the morning,13,\"Lydia, Nora, Claire, Olivia\"\ne18763,2022/05/25,in the early evening,37,Eva\ne18767,2022/05/26,in the early evening,52,\"Rylee, Nevaeh, Kinsley\"\ne18772,2022/05/27,in the early evening,25,\"Nora, Piper\"\ne18776,2022/05/28,in the early afternoon,17,Rylee\ne18779,2022/05/29,late in the evening,38,\"Hazel, Layla\"\ne18780,2022/05/29,in the morning,48,\"Avery, Lydia\"\ne18783,2022/05/30,in the early evening,48,\"Layla, Claire\"\ne18787,2022/05/31,in the early afternoon,36,\"Nora, Avery\"\ne18788,2022/05/31,late in the evening,40,\"Nevaeh, Kinsley, Claire\"\ne18792,2022/06/01,late in the evening,25,\"Olivia, Rylee\"\ne18797,2022/06/03,in the late afternoon,22,\"Nora, Piper\"\ne18798,2022/06/03,in the early evening,6,\"Hazel, Eva\"\ne18803,2022/06/04,during lunch hours,50,\"Rylee, Avery, Hazel, Piper\"\ne18804,2022/06/05,in the late afternoon,51,\"Claire, Avery, Nora, Nevaeh\"\ne18805,2022/06/05,in the early afternoon,20,Rylee\ne18807,2022/06/06,in the morning,47,\"Layla, Kinsley\"\ne18811,2022/06/07,in the early afternoon,30,\"Eva, Claire, Rylee\"\ne18817,2022/06/09,in the late afternoon,49,\"Piper, Avery, Rylee, Piper\"\ne18821,2022/06/10,in the early afternoon,50,Nevaeh\ne18824,2022/06/11,in the late afternoon,52,\"Lydia, Piper\"\ne18832,2022/06/13,in the early evening,35,\"Lydia, Nevaeh, Nora\"\ne18837,2022/06/14,in the late afternoon,26,Layla\ne18841,2022/06/15,in the early evening,28,\"Claire, Nevaeh, Layla\"\ne18844,2022/06/16,in the early evening,55,Nevaeh\ne18851,2022/06/17,late in the evening,27,Avery\ne18860,2022/06/21,late in the evening,40,Rylee\ne18861,2022/06/21,in the early afternoon,45,Layla\ne18866,2022/06/23,in the early evening,38,Lydia\ne18870,2022/06/24,in the late afternoon,47,\"Piper, Nora, Piper\"\ne18873,2022/06/25,late in the evening,12,\"Hazel, Nevaeh, Piper\"\ne18881,2022/06/27,late in the evening,47,\"Rylee, Nevaeh, Hazel\"\ne18882,2022/06/27,in the early afternoon,55,\"Layla, Piper, Hazel\"\ne18884,2022/06/28,during lunch hours,20,\"Olivia, Rylee\"\ne18885,2022/06/28,late in the evening,33,Eva\ne18894,2022/06/30,late in the evening,25,\"Avery, Lydia, Eva, Kinsley\"\ne18897,2022/07/01,in the morning,9,\"Olivia, Layla, Kinsley, Nora\"\ne18904,2022/07/03,late in the evening,52,\"Nora, Kinsley, Nevaeh, Olivia\"\ne18905,2022/07/03,in the morning,32,\"Hazel, Olivia, Nora\"\ne18912,2022/07/05,in the late afternoon,50,\"Layla, Nevaeh\"\ne18921,2022/07/07,late in the evening,16,Layla\ne18929,2022/07/10,in the early afternoon,12,\"Layla, Eva, Olivia\"\ne18930,2022/07/10,in the late afternoon,25,\"Layla, Nora\"\ne18932,2022/07/11,during lunch hours,14,\"Piper, Rylee, Kinsley\"\ne18937,2022/07/12,in the late afternoon,15,\"Hazel, Avery\"\ne18943,2022/07/13,late in the evening,41,\"Layla, Nevaeh\"\ne18954,2022/07/17,in the early evening,45,Lydia\ne18963,2022/07/19,during lunch hours,31,\"Claire, Hazel\"\ne18971,2022/07/22,during lunch hours,49,\"Layla, Piper, Eva\"\ne18973,2022/07/23,during lunch hours,54,\"Rylee, Nevaeh, Hazel, Kinsley\"\ne18980,2022/07/25,in the early evening,41,\"Eva, Piper, Nevaeh\"\ne18986,2022/07/26,late in the evening,13,\"Rylee, Piper, Olivia\"\ne18990,2022/07/27,in the late afternoon,41,\"Nevaeh, Piper\"\ne18995,2022/07/28,in the early afternoon,11,Layla\ne18998,2022/07/29,in the early afternoon,25,\"Rylee, Eva, Layla\"\ne19004,2022/07/30,late in the evening,25,\"Kinsley, Eva, Claire, Nevaeh\"\ne19007,2022/08/01,during lunch hours,43,Layla\ne19008,2022/08/01,in the late afternoon,17,Hazel\ne19012,2022/08/02,during lunch hours,5,\"Piper, Kinsley\"\ne19013,2022/08/02,during lunch hours,27,\"Olivia, Nora, Kinsley\"\ne19018,2022/08/03,in the early evening,32,\"Piper, Lydia\"\ne19019,2022/08/03,late in the evening,44,Eva\ne19022,2022/08/04,during lunch hours,31,\"Piper, Layla, Lydia\"\ne19023,2022/08/04,in the morning,54,Hazel\ne19028,2022/08/05,during lunch hours,38,\"Lydia, Rylee, Piper, Avery\"\ne19033,2022/08/06,during lunch hours,51,\"Piper, Layla\"\ne19036,2022/08/07,during lunch hours,42,Eva\ne19040,2022/08/08,in the early evening,47,\"Claire, Rylee\"\ne19044,2022/08/09,in the late afternoon,43,Nora\ne19055,2022/08/12,in the early afternoon,50,Hazel\ne19059,2022/08/13,in the early evening,7,\"Rylee, Hazel, Lydia, Kinsley\"\ne19062,2022/08/14,late in the evening,21,Piper\ne19069,2022/08/16,in the late afternoon,55,Hazel\ne19070,2022/08/16,in the early evening,20,Kinsley\ne19073,2022/08/17,during lunch hours,31,Piper\ne19076,2022/08/18,in the early afternoon,48,\"Piper, Rylee\"\ne19077,2022/08/18,in the early evening,38,Layla\ne19088,2022/08/22,in the late afternoon,30,\"Piper, Avery, Nora, Piper\"\ne19092,2022/08/23,in the early evening,40,\"Eva, Rylee\"\ne19097,2022/08/24,in the late afternoon,41,\"Avery, Nora, Rylee\"\ne19100,2022/08/25,during lunch hours,53,\"Nora, Piper, Nevaeh, Rylee\"\ne19104,2022/08/26,in the early evening,17,\"Nora, Avery\"\ne19107,2022/08/27,in the late afternoon,9,Nora\ne19108,2022/08/27,during lunch hours,35,\"Nevaeh, Layla, Claire\"\ne19114,2022/08/28,in the early afternoon,20,\"Rylee, Lydia\"\ne19115,2022/08/28,in the morning,43,\"Rylee, Layla, Olivia, Piper\"\ne19119,2022/08/29,late in the evening,6,\"Olivia, Hazel, Claire\"\ne19125,2022/08/30,in the early afternoon,15,\"Piper, Nevaeh, Lydia\"\ne19126,2022/08/30,late in the evening,19,Piper\ne19130,2022/08/31,in the early evening,39,\"Olivia, Avery, Hazel\"\ne19135,2022/09/01,in the early evening,27,\"Lydia, Avery, Kinsley\"\ne19136,2022/09/01,in the morning,36,\"Piper, Nora, Rylee\"\ne19141,2022/09/02,during lunch hours,48,\"Avery, Kinsley, Olivia, Hazel\"\ne19144,2022/09/03,late in the evening,45,\"Avery, Claire\"\ne19148,2022/09/04,during lunch hours,53,\"Kinsley, Piper, Piper\"\ne19154,2022/09/05,late in the evening,17,\"Hazel, Kinsley\"\ne19161,2022/09/07,in the early afternoon,22,\"Kinsley, Olivia, Piper\"\ne19162,2022/09/07,in the late afternoon,5,\"Eva, Avery, Piper, Lydia\"\ne19167,2022/09/08,in the morning,46,Piper\ne19172,2022/09/09,late in the evening,32,\"Piper, Nora\"\ne19173,2022/09/09,in the early evening,53,\"Piper, Layla, Rylee, Kinsley\"\ne19186,2022/09/12,in the early afternoon,6,\"Olivia, Layla\"\ne19190,2022/09/13,in the morning,38,\"Piper, Eva, Nevaeh\"\ne19194,2022/09/14,during lunch hours,49,Rylee\ne19201,2022/09/16,during lunch hours,21,\"Avery, Nevaeh, Hazel, Nora\"\ne19204,2022/09/17,in the late afternoon,39,Kinsley\ne19210,2022/09/18,in the early evening,51,Olivia\ne19214,2022/09/20,in the late afternoon,44,\"Layla, Piper\"\ne19217,2022/09/21,late in the evening,26,\"Piper, Nevaeh, Rylee, Claire\"\ne19226,2022/09/24,in the early afternoon,15,Nevaeh\ne19229,2022/09/25,late in the evening,32,\"Avery, Lydia, Eva, Olivia\"\ne19239,2022/09/27,late in the evening,46,\"Lydia, Kinsley\"\ne19243,2022/09/28,in the late afternoon,48,\"Kinsley, Claire, Lydia\"\ne19247,2022/09/29,during lunch hours,14,\"Piper, Eva, Rylee\"\ne19248,2022/09/29,in the late afternoon,29,\"Olivia, Layla, Lydia, Hazel\"\ne19251,2022/09/30,in the early afternoon,32,Rylee\ne19255,2022/10/01,late in the evening,53,Lydia\ne19256,2022/10/01,in the late afternoon,18,Claire\ne19266,2022/10/04,during lunch hours,32,Claire\ne19267,2022/10/04,late in the evening,17,\"Olivia, Rylee, Piper\"\ne19271,2022/10/05,in the late afternoon,20,\"Kinsley, Nevaeh, Hazel\"\ne19275,2022/10/06,during lunch hours,48,\"Piper, Kinsley, Lydia\"\ne19282,2022/10/08,during lunch hours,40,Nevaeh\ne19287,2022/10/09,in the early evening,38,\"Hazel, Piper\"\ne19292,2022/10/10,in the early afternoon,36,\"Piper, Piper, Claire\"\ne19296,2022/10/11,during lunch hours,20,Piper\ne19297,2022/10/11,in the early evening,39,Piper\ne19301,2022/10/12,in the morning,49,\"Hazel, Eva\"\ne19302,2022/10/12,in the late afternoon,24,Piper\ne19311,2022/10/14,in the late afternoon,15,Lydia\ne19312,2022/10/14,during lunch hours,18,\"Eva, Avery\"\ne19325,2022/10/18,in the late afternoon,15,\"Piper, Nora, Piper\"\ne19327,2022/10/19,late in the evening,32,\"Rylee, Claire, Lydia, Piper\"\ne19332,2022/10/20,in the early evening,35,\"Kinsley, Nora\"\ne19335,2022/10/21,in the morning,32,\"Piper, Eva\"\ne19339,2022/10/22,in the morning,38,\"Kinsley, Nevaeh, Olivia\"\ne19340,2022/10/22,late in the evening,30,Nora\ne19348,2022/10/24,in the morning,43,\"Piper, Layla, Rylee, Nevaeh\"\ne19351,2022/10/25,in the late afternoon,22,\"Kinsley, Piper\"\ne19356,2022/10/26,late in the evening,20,\"Layla, Rylee, Nevaeh, Eva\"\ne19364,2022/10/28,in the late afternoon,34,\"Piper, Eva, Piper, Lydia\"\ne19367,2022/10/29,late in the evening,18,Piper\ne19370,2022/10/30,late in the evening,24,\"Rylee, Piper, Layla, Hazel\"\ne19376,2022/11/01,in the morning,12,Piper\ne19379,2022/11/02,in the early evening,39,\"Piper, Rylee\"\ne19384,2022/11/03,in the morning,48,\"Layla, Hazel\"\ne19385,2022/11/03,in the early evening,40,\"Rylee, Eva, Hazel\"\ne19392,2022/11/04,in the late afternoon,38,\"Lydia, Kinsley, Piper, Nevaeh\"\ne19393,2022/11/04,in the late afternoon,47,Avery\ne19396,2022/11/05,in the morning,11,\"Avery, Lydia\"\ne19400,2022/11/06,in the early evening,40,\"Rylee, Piper\"\ne19405,2022/11/07,late in the evening,18,\"Hazel, Nevaeh, Layla\"\ne19407,2022/11/08,in the late afternoon,52,Kinsley\ne19412,2022/11/09,late in the evening,8,\"Claire, Piper, Eva\"\ne19416,2022/11/10,in the late afternoon,23,\"Hazel, Lydia\"\ne19417,2022/11/10,in the late afternoon,28,Piper\ne19419,2022/11/11,late in the evening,52,Nora\ne19427,2022/11/13,in the morning,43,\"Piper, Avery\"\ne19428,2022/11/13,during lunch hours,46,Piper\ne19436,2022/11/16,in the late afternoon,11,\"Claire, Rylee\"\ne19441,2022/11/17,in the early evening,19,Lydia\ne19443,2022/11/18,in the early afternoon,23,\"Piper, Avery, Layla, Hazel\"\ne19447,2022/11/19,in the early evening,37,Eva\ne19453,2022/11/21,late in the evening,12,Piper\ne19454,2022/11/21,in the morning,12,\"Avery, Claire\"\ne19458,2022/11/22,late in the evening,12,\"Rylee, Avery, Piper\"\ne19468,2022/11/25,in the early afternoon,25,\"Nevaeh, Kinsley, Eva\"\ne19472,2022/11/26,late in the evening,51,\"Olivia, Claire\"\ne19473,2022/11/26,late in the evening,28,\"Claire, Piper\"\ne19475,2022/11/27,in the early evening,40,\"Claire, Avery, Piper, Rylee\"\ne19484,2022/11/29,in the late afternoon,31,\"Nora, Piper, Hazel\"\ne19488,2022/11/30,in the late afternoon,39,\"Hazel, Layla\"\ne19491,2022/12/01,in the early afternoon,43,Piper\ne19493,2022/12/02,in the early evening,35,\"Hazel, Kinsley\"\ne19499,2022/12/03,in the early evening,39,\"Piper, Rylee, Nora, Claire\"\ne19502,2022/12/04,in the early evening,42,Piper\ne19503,2022/12/04,in the late afternoon,15,Hazel\ne19506,2022/12/06,during lunch hours,7,\"Eva, Olivia\"\ne19507,2022/12/06,in the late afternoon,29,\"Avery, Olivia, Piper, Claire\"\ne19521,2022/12/11,in the late afternoon,29,\"Rylee, Avery\"\ne19522,2022/12/11,late in the evening,47,Lydia\ne19528,2022/12/12,late in the evening,55,\"Olivia, Kinsley, Lydia, Nevaeh\"\ne19547,2022/12/17,in the early evening,20,Avery\ne19551,2022/12/18,late in the evening,38,\"Rylee, Nora, Lydia\"\ne19556,2022/12/19,late in the evening,20,\"Eva, Olivia\"\ne19559,2022/12/20,in the early afternoon,37,\"Lydia, Kinsley\"\ne19561,2022/12/21,in the late afternoon,39,\"Avery, Claire\"\ne19567,2022/12/23,in the late afternoon,42,\"Lydia, Claire\"\ne19577,2022/12/25,during lunch hours,42,\"Claire, Lydia\"\ne19578,2022/12/25,during lunch hours,41,Nora\ne19580,2022/12/26,in the early evening,21,\"Layla, Rylee\"\ne19589,2022/12/28,late in the evening,55,\"Rylee, Avery, Hazel\"\ne19590,2022/12/28,in the early afternoon,6,\"Lydia, Eva\"\ne19592,2022/12/29,during lunch hours,29,\"Kinsley, Lydia\"\ne19593,2022/12/29,in the early afternoon,48,\"Kinsley, Piper, Olivia\"\ne19596,2022/12/30,in the morning,17,Eva\ne19597,2022/12/30,in the early afternoon,25,\"Layla, Nora, Hazel\"\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/daily_exercise-log.csv",
    "content": "eid,date,exercise,heart_rate\ne127,2010/01/01,hiking,164\ne133,2010/01/03,HIIT,142\ne138,2010/01/04,swimming,144\ne160,2010/01/10,HIIT,154\ne163,2010/01/11,swimming,163\ne178,2010/01/15,swimming,163\ne181,2010/01/17,hiking,153\ne188,2010/01/19,swimming,142\ne197,2010/01/21,swimming,144\ne206,2010/01/23,HIIT,162\ne212,2010/01/25,running,143\ne217,2010/01/27,running,158\ne223,2010/01/29,swimming,129\ne239,2010/02/02,running,136\ne266,2010/02/08,HIIT,136\ne277,2010/02/11,running,148\ne307,2010/02/19,hiking,117\ne310,2010/02/20,biking,120\ne316,2010/02/22,hiking,132\ne322,2010/02/24,HIIT,155\ne334,2010/02/27,hiking,114\ne338,2010/02/28,weight lifting,128\ne343,2010/03/01,HIIT,111\ne350,2010/03/03,biking,156\ne354,2010/03/04,hiking,164\ne359,2010/03/05,hiking,118\ne372,2010/03/08,HIIT,146\ne385,2010/03/11,running,160\ne400,2010/03/14,hiking,153\ne405,2010/03/15,running,126\ne413,2010/03/18,HIIT,142\ne415,2010/03/19,running,131\ne429,2010/03/22,biking,159\ne435,2010/03/23,hiking,154\ne450,2010/03/26,running,141\ne456,2010/03/27,biking,137\ne461,2010/03/28,hiking,137\ne471,2010/03/30,biking,143\ne481,2010/04/01,HIIT,164\ne491,2010/04/04,biking,153\ne497,2010/04/05,swimming,128\ne503,2010/04/07,hiking,154\ne519,2010/04/11,swimming,150\ne523,2010/04/12,swimming,134\ne537,2010/04/15,weight lifting,158\ne539,2010/04/16,biking,156\ne549,2010/04/18,hiking,150\ne567,2010/04/22,hiking,132\ne575,2010/04/24,weight lifting,124\ne581,2010/04/26,HIIT,159\ne584,2010/04/27,hiking,129\ne591,2010/04/29,swimming,135\ne603,2010/05/02,hiking,152\ne608,2010/05/04,hiking,149\ne626,2010/05/10,swimming,139\ne639,2010/05/13,weight lifting,129\ne644,2010/05/14,weight lifting,118\ne668,2010/05/22,HIIT,150\ne675,2010/05/23,hiking,155\ne680,2010/05/24,hiking,133\ne684,2010/05/25,HIIT,160\ne694,2010/05/28,running,137\ne697,2010/05/29,HIIT,121\ne705,2010/05/31,biking,144\ne706,2010/06/01,hiking,141\ne707,2010/06/02,HIIT,124\ne711,2010/06/03,biking,158\ne717,2010/06/05,biking,165\ne722,2010/06/06,HIIT,151\ne734,2010/06/09,biking,132\ne755,2010/06/15,hiking,161\ne763,2010/06/17,running,159\ne771,2010/06/19,biking,165\ne777,2010/06/20,HIIT,154\ne784,2010/06/22,swimming,164\ne794,2010/06/25,weight lifting,132\ne798,2010/06/26,weight lifting,154\ne804,2010/06/27,biking,131\ne817,2010/07/01,biking,159\ne819,2010/07/02,swimming,148\ne821,2010/07/03,running,136\ne826,2010/07/05,weight lifting,107\ne831,2010/07/06,biking,123\ne836,2010/07/08,biking,155\ne841,2010/07/09,HIIT,128\ne845,2010/07/10,HIIT,154\ne849,2010/07/11,biking,139\ne863,2010/07/15,running,155\ne874,2010/07/17,biking,104\ne899,2010/07/25,running,147\ne906,2010/07/27,swimming,165\ne910,2010/07/28,HIIT,165\ne915,2010/07/29,hiking,149\ne922,2010/07/30,weight lifting,144\ne926,2010/07/31,weight lifting,161\ne930,2010/08/01,swimming,135\ne933,2010/08/02,hiking,120\ne939,2010/08/03,HIIT,140\ne949,2010/08/05,swimming,112\ne957,2010/08/07,running,93\ne963,2010/08/08,running,113\ne968,2010/08/09,running,144\ne972,2010/08/10,running,161\ne975,2010/08/11,swimming,155\ne987,2010/08/16,hiking,154\ne989,2010/08/17,swimming,134\ne993,2010/08/18,swimming,109\ne998,2010/08/19,hiking,147\ne1003,2010/08/21,swimming,155\ne1008,2010/08/22,biking,103\ne1011,2010/08/23,biking,153\ne1024,2010/08/27,swimming,147\ne1031,2010/08/29,running,135\ne1043,2010/09/02,hiking,147\ne1047,2010/09/03,swimming,155\ne1052,2010/09/04,running,149\ne1057,2010/09/05,hiking,136\ne1062,2010/09/06,hiking,147\ne1070,2010/09/08,weight lifting,146\ne1073,2010/09/09,HIIT,114\ne1078,2010/09/10,swimming,161\ne1083,2010/09/11,running,104\ne1096,2010/09/14,running,149\ne1101,2010/09/15,biking,130\ne1105,2010/09/16,biking,154\ne1111,2010/09/17,hiking,162\ne1114,2010/09/18,weight lifting,150\ne1125,2010/09/21,running,128\ne1129,2010/09/22,weight lifting,123\ne1136,2010/09/24,hiking,155\ne1140,2010/09/25,running,152\ne1144,2010/09/26,hiking,110\ne1149,2010/09/27,running,165\ne1157,2010/09/29,swimming,126\ne1167,2010/10/02,HIIT,151\ne1171,2010/10/03,weight lifting,143\ne1185,2010/10/07,hiking,147\ne1191,2010/10/09,hiking,148\ne1197,2010/10/11,biking,140\ne1199,2010/10/12,HIIT,155\ne1202,2010/10/13,weight lifting,123\ne1209,2010/10/15,running,149\ne1213,2010/10/16,weight lifting,153\ne1217,2010/10/17,HIIT,118\ne1235,2010/10/22,swimming,144\ne1248,2010/10/25,running,126\ne1251,2010/10/26,swimming,165\ne1260,2010/10/29,HIIT,131\ne1263,2010/10/30,hiking,119\ne1268,2010/10/31,weight lifting,158\ne1286,2010/11/04,running,156\ne1291,2010/11/05,HIIT,123\ne1294,2010/11/06,weight lifting,146\ne1301,2010/11/07,HIIT,116\ne1311,2010/11/10,HIIT,141\ne1316,2010/11/12,hiking,135\ne1321,2010/11/13,hiking,134\ne1329,2010/11/16,hiking,123\ne1344,2010/11/20,HIIT,124\ne1348,2010/11/21,HIIT,111\ne1354,2010/11/22,hiking,144\ne1359,2010/11/23,running,149\ne1369,2010/11/26,running,140\ne1379,2010/11/28,running,148\ne1382,2010/11/29,swimming,139\ne1394,2010/12/02,hiking,155\ne1397,2010/12/03,HIIT,158\ne1403,2010/12/05,weight lifting,153\ne1413,2010/12/07,swimming,115\ne1424,2010/12/10,running,146\ne1440,2010/12/14,running,148\ne1459,2010/12/18,weight lifting,156\ne1468,2010/12/20,HIIT,125\ne1473,2010/12/21,HIIT,152\ne1478,2010/12/22,swimming,148\ne1495,2010/12/26,swimming,152\ne1503,2010/12/29,swimming,118\ne1508,2010/12/30,swimming,158\ne1660,2011/01/04,HIIT,115\ne1664,2011/01/05,swimming,118\ne1668,2011/01/06,HIIT,141\ne1683,2011/01/09,hiking,137\ne1696,2011/01/13,swimming,127\ne1721,2011/01/19,biking,159\ne1724,2011/01/20,biking,128\ne1725,2011/01/21,HIIT,159\ne1730,2011/01/23,HIIT,159\ne1737,2011/01/25,swimming,165\ne1747,2011/01/27,biking,159\ne1751,2011/01/28,biking,144\ne1770,2011/02/01,hiking,163\ne1773,2011/02/02,biking,143\ne1778,2011/02/03,biking,144\ne1802,2011/02/10,weight lifting,122\ne1809,2011/02/12,HIIT,156\ne1814,2011/02/13,biking,133\ne1867,2011/03/02,running,158\ne1875,2011/03/04,weight lifting,140\ne1880,2011/03/05,hiking,158\ne1884,2011/03/06,swimming,135\ne1888,2011/03/07,weight lifting,121\ne1892,2011/03/08,running,162\ne1904,2011/03/11,HIIT,161\ne1924,2011/03/15,hiking,132\ne1928,2011/03/16,HIIT,148\ne1937,2011/03/18,biking,127\ne1943,2011/03/19,HIIT,145\ne1949,2011/03/20,hiking,146\ne1954,2011/03/21,biking,124\ne1957,2011/03/22,weight lifting,124\ne1962,2011/03/23,hiking,137\ne1976,2011/03/26,running,152\ne1983,2011/03/28,running,134\ne2001,2011/04/02,weight lifting,151\ne2018,2011/04/06,weight lifting,142\ne2031,2011/04/12,biking,162\ne2033,2011/04/13,biking,143\ne2042,2011/04/15,hiking,141\ne2047,2011/04/16,biking,165\ne2056,2011/04/19,biking,137\ne2061,2011/04/20,swimming,164\ne2069,2011/04/22,hiking,141\ne2083,2011/04/25,weight lifting,152\ne2092,2011/04/27,biking,164\ne2099,2011/04/28,swimming,154\ne2106,2011/04/30,running,139\ne2111,2011/05/01,weight lifting,158\ne2118,2011/05/02,hiking,121\ne2124,2011/05/03,swimming,133\ne2130,2011/05/04,running,127\ne2133,2011/05/05,hiking,153\ne2141,2011/05/07,biking,99\ne2144,2011/05/08,HIIT,156\ne2152,2011/05/10,hiking,137\ne2155,2011/05/11,HIIT,144\ne2159,2011/05/13,swimming,158\ne2168,2011/05/15,running,151\ne2173,2011/05/16,hiking,108\ne2181,2011/05/19,HIIT,139\ne2189,2011/05/22,running,159\ne2192,2011/05/23,swimming,155\ne2228,2011/06/01,HIIT,163\ne2236,2011/06/03,running,152\ne2250,2011/06/06,HIIT,154\ne2253,2011/06/07,HIIT,155\ne2256,2011/06/08,weight lifting,145\ne2262,2011/06/09,biking,149\ne2271,2011/06/12,biking,105\ne2276,2011/06/14,swimming,156\ne2282,2011/06/15,HIIT,140\ne2288,2011/06/16,running,141\ne2292,2011/06/17,hiking,151\ne2297,2011/06/18,running,139\ne2302,2011/06/19,weight lifting,132\ne2306,2011/06/20,swimming,125\ne2315,2011/06/22,hiking,159\ne2322,2011/06/24,hiking,143\ne2326,2011/06/25,weight lifting,121\ne2331,2011/06/27,weight lifting,140\ne2343,2011/06/30,HIIT,161\ne2352,2011/07/02,biking,158\ne2359,2011/07/03,running,136\ne2363,2011/07/05,biking,152\ne2373,2011/07/07,biking,147\ne2382,2011/07/10,biking,153\ne2386,2011/07/11,swimming,158\ne2389,2011/07/12,biking,129\ne2394,2011/07/13,HIIT,157\ne2403,2011/07/16,running,161\ne2415,2011/07/19,weight lifting,128\ne2423,2011/07/21,hiking,149\ne2433,2011/07/23,running,163\ne2444,2011/07/25,biking,129\ne2450,2011/07/26,weight lifting,154\ne2456,2011/07/28,running,145\ne2474,2011/08/01,swimming,163\ne2482,2011/08/03,swimming,163\ne2489,2011/08/05,swimming,158\ne2502,2011/08/08,hiking,147\ne2513,2011/08/11,running,130\ne2519,2011/08/12,running,155\ne2523,2011/08/13,running,152\ne2525,2011/08/14,running,143\ne2535,2011/08/17,running,139\ne2541,2011/08/19,swimming,129\ne2547,2011/08/21,running,154\ne2552,2011/08/22,hiking,151\ne2555,2011/08/23,hiking,163\ne2565,2011/08/26,weight 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lifting,143\ne14925,2019/11/11,running,147\ne14927,2019/11/12,HIIT,128\ne14933,2019/11/13,HIIT,117\ne14944,2019/11/16,weight lifting,156\ne14959,2019/11/22,swimming,165\ne14997,2019/12/02,swimming,160\ne15014,2019/12/06,running,160\ne15018,2019/12/07,weight lifting,122\ne15023,2019/12/08,biking,125\ne15031,2019/12/10,biking,119\ne15034,2019/12/11,biking,152\ne15043,2019/12/14,swimming,135\ne15047,2019/12/15,HIIT,153\ne15070,2019/12/21,HIIT,164\ne15074,2019/12/22,HIIT,112\ne15078,2019/12/23,HIIT,125\ne15082,2019/12/24,weight lifting,140\ne15087,2019/12/25,biking,129\ne15091,2019/12/26,hiking,134\ne15099,2019/12/28,HIIT,118\ne15102,2019/12/29,hiking,150\ne15245,2020/01/01,HIIT,144\ne15255,2020/01/04,HIIT,162\ne15260,2020/01/05,HIIT,131\ne15267,2020/01/07,HIIT,108\ne15275,2020/01/09,hiking,156\ne15280,2020/01/11,biking,159\ne15284,2020/01/12,weight lifting,163\ne15290,2020/01/13,hiking,162\ne15310,2020/01/20,swimming,164\ne15313,2020/01/21,weight lifting,136\ne15317,2020/01/22,swimming,109\ne15324,2020/01/23,swimming,143\ne15335,2020/01/26,HIIT,148\ne15340,2020/01/27,HIIT,146\ne15349,2020/01/30,biking,147\ne15354,2020/01/31,swimming,150\ne15364,2020/02/03,swimming,116\ne15401,2020/02/13,hiking,164\ne15405,2020/02/14,weight lifting,115\ne15412,2020/02/16,weight lifting,111\ne15423,2020/02/20,biking,162\ne15428,2020/02/21,running,157\ne15434,2020/02/23,swimming,161\ne15437,2020/02/24,weight lifting,133\ne15443,2020/02/25,HIIT,132\ne15453,2020/02/27,hiking,156\ne15459,2020/02/29,hiking,148\ne15466,2020/03/02,swimming,117\ne15476,2020/03/04,HIIT,159\ne15485,2020/03/06,weight lifting,165\ne15493,2020/03/08,HIIT,152\ne15503,2020/03/11,biking,158\ne15524,2020/03/17,biking,130\ne15535,2020/03/19,HIIT,104\ne15541,2020/03/20,biking,165\ne15546,2020/03/21,swimming,126\ne15552,2020/03/22,HIIT,140\ne15562,2020/03/25,weight lifting,154\ne15567,2020/03/26,hiking,119\ne15577,2020/03/28,hiking,146\ne15602,2020/04/04,weight lifting,127\ne15608,2020/04/05,running,131\ne15615,2020/04/07,hiking,164\ne15619,2020/04/08,biking,164\ne15622,2020/04/11,biking,156\ne15628,2020/04/12,hiking,116\ne15634,2020/04/13,hiking,155\ne15642,2020/04/16,hiking,133\ne15654,2020/04/19,HIIT,143\ne15660,2020/04/22,running,162\ne15667,2020/04/24,weight lifting,137\ne15672,2020/04/25,swimming,151\ne15678,2020/04/26,swimming,155\ne15682,2020/04/27,swimming,117\ne15684,2020/04/28,weight lifting,148\ne15687,2020/04/29,hiking,146\ne15691,2020/04/30,HIIT,108\ne15694,2020/05/01,weight lifting,130\ne15705,2020/05/04,HIIT,164\ne15712,2020/05/06,swimming,141\ne15719,2020/05/08,weight lifting,157\ne15727,2020/05/10,HIIT,137\ne15731,2020/05/11,hiking,161\ne15739,2020/05/13,HIIT,141\ne15740,2020/05/14,HIIT,143\ne15751,2020/05/17,HIIT,159\ne15762,2020/05/20,HIIT,153\ne15766,2020/05/21,swimming,142\ne15769,2020/05/22,running,157\ne15783,2020/05/26,biking,151\ne15788,2020/05/28,weight lifting,150\ne15791,2020/05/29,HIIT,138\ne15794,2020/05/30,weight lifting,154\ne15806,2020/06/02,HIIT,161\ne15810,2020/06/03,biking,144\ne15816,2020/06/05,biking,126\ne15820,2020/06/06,swimming,141\ne15830,2020/06/09,hiking,163\ne15840,2020/06/12,weight lifting,154\ne15851,2020/06/15,HIIT,157\ne15864,2020/06/19,biking,148\ne15891,2020/06/26,biking,152\ne15898,2020/06/27,running,115\ne15907,2020/06/30,HIIT,114\ne15914,2020/07/02,HIIT,156\ne15919,2020/07/03,HIIT,144\ne15921,2020/07/04,weight lifting,161\ne15928,2020/07/06,HIIT,158\ne15941,2020/07/09,HIIT,145\ne15954,2020/07/13,weight lifting,140\ne15959,2020/07/14,running,148\ne15964,2020/07/15,biking,161\ne15982,2020/07/19,biking,145\ne15986,2020/07/20,biking,150\ne15990,2020/07/21,weight lifting,126\ne15993,2020/07/22,hiking,142\ne16005,2020/07/26,swimming,121\ne16010,2020/07/27,biking,154\ne16022,2020/07/29,swimming,164\ne16026,2020/07/30,swimming,96\ne16029,2020/07/31,running,164\ne16033,2020/08/01,HIIT,156\ne16036,2020/08/02,swimming,152\ne16040,2020/08/03,HIIT,135\ne16051,2020/08/06,HIIT,140\ne16055,2020/08/07,HIIT,140\ne16060,2020/08/08,swimming,138\ne16067,2020/08/10,biking,148\ne16078,2020/08/13,running,162\ne16091,2020/08/16,hiking,149\ne16107,2020/08/21,HIIT,130\ne16111,2020/08/22,hiking,141\ne16119,2020/08/24,swimming,109\ne16125,2020/08/26,biking,147\ne16129,2020/08/28,HIIT,109\ne16136,2020/08/30,weight lifting,154\ne16141,2020/08/31,running,164\ne16146,2020/09/01,HIIT,155\ne16165,2020/09/05,weight lifting,154\ne16175,2020/09/08,swimming,153\ne16179,2020/09/09,biking,114\ne16183,2020/09/10,weight lifting,98\ne16194,2020/09/12,swimming,127\ne16197,2020/09/13,swimming,148\ne16219,2020/09/20,hiking,141\ne16226,2020/09/22,HIIT,144\ne16243,2020/09/26,swimming,139\ne16249,2020/09/28,biking,158\ne16262,2020/10/02,weight lifting,126\ne16268,2020/10/04,swimming,161\ne16273,2020/10/05,hiking,152\ne16289,2020/10/10,weight lifting,158\ne16292,2020/10/11,hiking,112\ne16303,2020/10/14,biking,158\ne16307,2020/10/15,HIIT,112\ne16332,2020/10/23,running,136\ne16337,2020/10/24,biking,136\ne16349,2020/10/28,biking,137\ne16356,2020/10/30,biking,124\ne16363,2020/10/31,weight lifting,151\ne16370,2020/11/02,weight lifting,108\ne16376,2020/11/03,hiking,158\ne16388,2020/11/06,HIIT,115\ne16396,2020/11/09,HIIT,159\ne16413,2020/11/13,HIIT,109\ne16430,2020/11/19,biking,154\ne16441,2020/11/22,weight lifting,162\ne16446,2020/11/23,swimming,154\ne16450,2020/11/24,weight lifting,155\ne16460,2020/11/26,weight lifting,131\ne16465,2020/11/27,hiking,152\ne16484,2020/12/02,weight lifting,153\ne16493,2020/12/04,biking,149\ne16497,2020/12/05,swimming,130\ne16501,2020/12/06,running,156\ne16506,2020/12/07,swimming,151\ne16510,2020/12/08,HIIT,130\ne16517,2020/12/10,hiking,121\ne16535,2020/12/16,swimming,129\ne16548,2020/12/19,HIIT,143\ne16556,2020/12/21,hiking,147\ne16560,2020/12/22,HIIT,102\ne16564,2020/12/23,HIIT,147\ne16567,2020/12/24,biking,121\ne16572,2020/12/25,hiking,131\ne16576,2020/12/26,swimming,145\ne16582,2020/12/27,swimming,158\ne16584,2020/12/28,weight lifting,162\ne16589,2020/12/30,hiking,160\ne16593,2020/12/31,running,157\ne16725,2021/01/01,biking,122\ne16732,2021/01/02,weight lifting,152\ne16738,2021/01/03,running,165\ne16746,2021/01/05,hiking,147\ne16774,2021/01/12,hiking,138\ne16776,2021/01/13,biking,155\ne16781,2021/01/14,hiking,134\ne16785,2021/01/15,biking,154\ne16789,2021/01/16,biking,147\ne16807,2021/01/22,hiking,150\ne16816,2021/01/26,running,115\ne16834,2021/01/31,running,156\ne16848,2021/02/03,swimming,129\ne16853,2021/02/05,swimming,157\ne16856,2021/02/06,swimming,147\ne16863,2021/02/09,weight lifting,116\ne16867,2021/02/10,weight lifting,156\ne16876,2021/02/12,running,140\ne16887,2021/02/16,running,139\ne16905,2021/02/24,weight lifting,94\ne16909,2021/02/26,biking,109\ne16916,2021/02/28,swimming,135\ne16919,2021/03/01,swimming,121\ne16923,2021/03/02,weight lifting,142\ne16927,2021/03/03,HIIT,154\ne16932,2021/03/04,swimming,158\ne16938,2021/03/05,running,134\ne16950,2021/03/07,weight lifting,98\ne16952,2021/03/08,hiking,115\ne16956,2021/03/09,hiking,143\ne16960,2021/03/10,running,148\ne16963,2021/03/11,HIIT,154\ne16966,2021/03/12,hiking,124\ne16971,2021/03/14,running,151\ne16976,2021/03/15,biking,114\ne16979,2021/03/16,hiking,162\ne16982,2021/03/17,biking,123\ne16988,2021/03/19,weight lifting,160\ne16998,2021/03/21,weight lifting,124\ne17004,2021/03/23,swimming,137\ne17007,2021/03/24,swimming,154\ne17011,2021/03/25,weight lifting,106\ne17014,2021/03/26,running,129\ne17018,2021/03/27,running,164\ne17023,2021/03/28,biking,124\ne17032,2021/03/31,swimming,123\ne17038,2021/04/02,biking,138\ne17043,2021/04/03,biking,133\ne17054,2021/04/06,biking,160\ne17061,2021/04/08,weight lifting,164\ne17063,2021/04/09,swimming,132\ne17069,2021/04/11,weight lifting,163\ne17074,2021/04/12,HIIT,149\ne17078,2021/04/13,weight lifting,138\ne17086,2021/04/15,biking,147\ne17093,2021/04/17,running,137\ne17101,2021/04/19,HIIT,143\ne17109,2021/04/22,weight lifting,131\ne17115,2021/04/23,HIIT,154\ne17122,2021/04/25,weight lifting,130\ne17126,2021/04/26,biking,142\ne17132,2021/04/27,weight lifting,160\ne17143,2021/04/30,weight lifting,147\ne17146,2021/05/01,swimming,124\ne17153,2021/05/03,swimming,109\ne17156,2021/05/04,swimming,155\ne17166,2021/05/07,biking,112\ne17178,2021/05/10,hiking,164\ne17183,2021/05/11,swimming,155\ne17188,2021/05/12,weight lifting,131\ne17195,2021/05/14,running,154\ne17199,2021/05/15,HIIT,144\ne17207,2021/05/18,weight lifting,163\ne17210,2021/05/19,biking,104\ne17225,2021/05/22,hiking,160\ne17229,2021/05/23,running,133\ne17233,2021/05/24,swimming,131\ne17236,2021/05/25,swimming,162\ne17244,2021/05/28,swimming,129\ne17247,2021/05/29,running,148\ne17260,2021/06/01,swimming,151\ne17266,2021/06/03,weight lifting,155\ne17275,2021/06/05,HIIT,149\ne17286,2021/06/07,weight lifting,137\ne17296,2021/06/09,running,165\ne17302,2021/06/10,running,162\ne17308,2021/06/12,biking,143\ne17317,2021/06/14,swimming,151\ne17325,2021/06/16,hiking,135\ne17339,2021/06/21,hiking,127\ne17354,2021/06/25,swimming,150\ne17357,2021/06/26,hiking,160\ne17371,2021/06/29,HIIT,129\ne17380,2021/07/01,weight lifting,121\ne17396,2021/07/05,biking,163\ne17405,2021/07/07,hiking,132\ne17410,2021/07/08,HIIT,142\ne17415,2021/07/09,weight lifting,146\ne17420,2021/07/10,HIIT,144\ne17423,2021/07/11,HIIT,164\ne17430,2021/07/13,running,133\ne17434,2021/07/14,weight lifting,130\ne17438,2021/07/15,swimming,161\ne17448,2021/07/17,biking,150\ne17462,2021/07/20,weight lifting,125\ne17475,2021/07/24,hiking,155\ne17484,2021/07/27,swimming,149\ne17491,2021/07/29,running,157\ne17494,2021/07/30,hiking,155\ne17498,2021/07/31,HIIT,136\ne17502,2021/08/01,swimming,142\ne17510,2021/08/03,HIIT,162\ne17521,2021/08/05,HIIT,164\ne17527,2021/08/06,hiking,158\ne17531,2021/08/07,HIIT,162\ne17534,2021/08/08,swimming,113\ne17538,2021/08/09,swimming,126\ne17542,2021/08/10,swimming,160\ne17552,2021/08/12,hiking,119\ne17559,2021/08/14,HIIT,143\ne17565,2021/08/16,swimming,121\ne17580,2021/08/19,HIIT,129\ne17583,2021/08/20,HIIT,139\ne17594,2021/08/24,biking,163\ne17602,2021/08/26,hiking,139\ne17608,2021/08/27,hiking,130\ne17611,2021/08/28,running,125\ne17616,2021/08/29,HIIT,138\ne17623,2021/08/31,HIIT,152\ne17634,2021/09/03,hiking,156\ne17639,2021/09/04,running,162\ne17647,2021/09/05,hiking,161\ne17650,2021/09/06,running,103\ne17656,2021/09/07,biking,133\ne17673,2021/09/11,HIIT,163\ne17686,2021/09/15,swimming,145\ne17694,2021/09/17,HIIT,156\ne17698,2021/09/18,weight lifting,149\ne17708,2021/09/20,swimming,115\ne17713,2021/09/21,hiking,157\ne17720,2021/09/23,swimming,143\ne17725,2021/09/24,running,143\ne17732,2021/09/26,hiking,163\ne17738,2021/09/27,running,158\ne17742,2021/09/28,weight lifting,135\ne17749,2021/09/30,hiking,160\ne17756,2021/10/02,HIIT,98\ne17759,2021/10/03,biking,161\ne17763,2021/10/04,running,152\ne17770,2021/10/06,running,157\ne17776,2021/10/07,weight lifting,139\ne17780,2021/10/08,biking,119\ne17782,2021/10/09,hiking,150\ne17786,2021/10/10,running,123\ne17791,2021/10/11,biking,144\ne17803,2021/10/14,weight lifting,135\ne17807,2021/10/15,biking,146\ne17814,2021/10/16,biking,114\ne17827,2021/10/20,running,151\ne17835,2021/10/21,hiking,128\ne17839,2021/10/22,biking,148\ne17846,2021/10/24,hiking,107\ne17851,2021/10/25,HIIT,136\ne17855,2021/10/26,hiking,140\ne17860,2021/10/27,running,125\ne17864,2021/10/28,weight lifting,108\ne17871,2021/10/29,weight lifting,143\ne17875,2021/10/30,HIIT,158\ne17880,2021/10/31,HIIT,127\ne17884,2021/11/01,weight lifting,161\ne17889,2021/11/02,hiking,124\ne17897,2021/11/04,swimming,102\ne17902,2021/11/05,swimming,151\ne17907,2021/11/06,swimming,146\ne17909,2021/11/07,swimming,113\ne17913,2021/11/08,swimming,160\ne17919,2021/11/09,swimming,142\ne17923,2021/11/10,running,94\ne17926,2021/11/11,swimming,129\ne17930,2021/11/12,HIIT,165\ne17935,2021/11/13,HIIT,154\ne17948,2021/11/16,swimming,141\ne17958,2021/11/19,running,144\ne17963,2021/11/20,swimming,147\ne17968,2021/11/21,swimming,135\ne17986,2021/11/26,hiking,156\ne17993,2021/11/28,HIIT,158\ne17996,2021/11/29,HIIT,156\ne18004,2021/12/02,HIIT,99\ne18018,2021/12/07,biking,150\ne18033,2021/12/12,hiking,148\ne18046,2021/12/16,swimming,154\ne18051,2021/12/18,HIIT,112\ne18056,2021/12/19,hiking,158\ne18064,2021/12/21,weight lifting,121\ne18065,2021/12/22,weight lifting,158\ne18070,2021/12/23,swimming,124\ne18076,2021/12/24,biking,145\ne18081,2021/12/26,HIIT,114\ne18086,2021/12/27,hiking,108\ne18092,2021/12/28,hiking,151\ne18097,2021/12/29,biking,165\ne18105,2021/12/31,running,159\ne18253,2022/01/01,biking,132\ne18287,2022/01/11,HIIT,116\ne18291,2022/01/12,weight lifting,137\ne18296,2022/01/13,running,163\ne18324,2022/01/22,swimming,108\ne18330,2022/01/24,swimming,159\ne18333,2022/01/25,HIIT,150\ne18336,2022/01/26,HIIT,134\ne18346,2022/01/29,HIIT,148\ne18349,2022/01/30,biking,140\ne18351,2022/01/31,swimming,141\ne18359,2022/02/02,weight lifting,164\ne18370,2022/02/04,hiking,162\ne18373,2022/02/05,hiking,149\ne18379,2022/02/06,biking,136\ne18390,2022/02/10,HIIT,158\ne18393,2022/02/11,weight lifting,141\ne18396,2022/02/12,weight lifting,161\ne18398,2022/02/13,biking,161\ne18400,2022/02/14,weight lifting,161\ne18406,2022/02/16,biking,128\ne18431,2022/02/23,running,163\ne18445,2022/02/26,biking,162\ne18454,2022/03/01,HIIT,115\ne18457,2022/03/02,hiking,127\ne18469,2022/03/05,biking,134\ne18475,2022/03/06,weight lifting,153\ne18479,2022/03/07,HIIT,161\ne18484,2022/03/08,hiking,164\ne18496,2022/03/12,swimming,141\ne18504,2022/03/14,weight lifting,153\ne18510,2022/03/16,swimming,151\ne18519,2022/03/19,swimming,160\ne18524,2022/03/21,hiking,160\ne18527,2022/03/22,swimming,161\ne18532,2022/03/23,biking,159\ne18540,2022/03/26,biking,128\ne18543,2022/03/27,weight lifting,152\ne18551,2022/03/29,hiking,159\ne18557,2022/03/30,biking,133\ne18560,2022/03/31,swimming,153\ne18564,2022/04/01,weight lifting,129\ne18566,2022/04/02,hiking,164\ne18580,2022/04/05,HIIT,160\ne18593,2022/04/09,HIIT,131\ne18601,2022/04/11,HIIT,149\ne18610,2022/04/14,HIIT,139\ne18619,2022/04/16,running,105\ne18622,2022/04/17,HIIT,113\ne18626,2022/04/18,hiking,160\ne18629,2022/04/19,swimming,155\ne18634,2022/04/20,HIIT,132\ne18638,2022/04/21,HIIT,159\ne18642,2022/04/23,HIIT,139\ne18648,2022/04/24,HIIT,163\ne18655,2022/04/26,biking,147\ne18660,2022/04/28,hiking,140\ne18671,2022/05/01,biking,108\ne18674,2022/05/02,weight lifting,116\ne18675,2022/05/03,running,149\ne18716,2022/05/14,HIIT,135\ne18725,2022/05/17,hiking,155\ne18730,2022/05/18,weight lifting,123\ne18735,2022/05/19,HIIT,138\ne18740,2022/05/20,running,164\ne18748,2022/05/22,weight lifting,131\ne18755,2022/05/24,swimming,164\ne18759,2022/05/25,hiking,126\ne18765,2022/05/26,HIIT,144\ne18770,2022/05/27,weight lifting,114\ne18774,2022/05/28,biking,163\ne18789,2022/06/01,biking,164\ne18801,2022/06/04,biking,144\ne18809,2022/06/07,swimming,110\ne18829,2022/06/13,HIIT,135\ne18838,2022/06/15,biking,142\ne18842,2022/06/16,running,162\ne18847,2022/06/17,running,127\ne18853,2022/06/18,weight lifting,140\ne18855,2022/06/19,biking,163\ne18864,2022/06/22,hiking,104\ne18867,2022/06/24,running,161\ne18887,2022/06/29,swimming,162\ne18891,2022/06/30,running,136\ne18900,2022/07/03,weight lifting,162\ne18917,2022/07/07,swimming,135\ne18926,2022/07/09,swimming,151\ne18928,2022/07/10,biking,144\ne18934,2022/07/12,HIIT,140\ne18940,2022/07/13,weight lifting,140\ne18944,2022/07/14,biking,145\ne18946,2022/07/15,biking,144\ne18956,2022/07/18,running,152\ne18965,2022/07/21,biking,163\ne18975,2022/07/24,running,151\ne18982,2022/07/26,swimming,159\ne18992,2022/07/28,hiking,157\ne19001,2022/07/30,HIIT,161\ne19010,2022/08/02,swimming,163\ne19015,2022/08/03,biking,146\ne19025,2022/08/05,hiking,96\ne19030,2022/08/06,HIIT,153\ne19042,2022/08/09,hiking,122\ne19047,2022/08/11,swimming,130\ne19053,2022/08/12,HIIT,147\ne19057,2022/08/13,HIIT,126\ne19060,2022/08/14,hiking,114\ne19065,2022/08/16,swimming,121\ne19079,2022/08/19,biking,107\ne19090,2022/08/23,HIIT,152\ne19095,2022/08/24,hiking,134\ne19102,2022/08/26,running,139\ne19106,2022/08/27,weight lifting,108\ne19111,2022/08/28,biking,138\ne19118,2022/08/29,hiking,128\ne19121,2022/08/30,biking,91\ne19131,2022/09/01,hiking,142\ne19138,2022/09/02,HIIT,135\ne19146,2022/09/04,hiking,158\ne19150,2022/09/05,swimming,162\ne19158,2022/09/07,running,154\ne19165,2022/09/08,weight lifting,150\ne19170,2022/09/09,HIIT,101\ne19184,2022/09/12,swimming,110\ne19187,2022/09/13,HIIT,151\ne19191,2022/09/14,weight lifting,114\ne19199,2022/09/16,hiking,153\ne19206,2022/09/18,hiking,165\ne19215,2022/09/21,weight lifting,150\ne19221,2022/09/23,hiking,130\ne19236,2022/09/27,running,148\ne19245,2022/09/29,HIIT,138\ne19261,2022/10/03,HIIT,137\ne19269,2022/10/05,swimming,138\ne19273,2022/10/06,HIIT,151\ne19277,2022/10/07,running,121\ne19280,2022/10/08,swimming,128\ne19285,2022/10/09,biking,158\ne19308,2022/10/14,swimming,127\ne19313,2022/10/15,hiking,118\ne19316,2022/10/16,running,138\ne19320,2022/10/17,swimming,151\ne19323,2022/10/18,hiking,139\ne19326,2022/10/19,weight lifting,129\ne19337,2022/10/22,running,125\ne19342,2022/10/23,running,164\ne19349,2022/10/25,running,152\ne19353,2022/10/26,HIIT,138\ne19357,2022/10/27,HIIT,156\ne19361,2022/10/28,hiking,154\ne19365,2022/10/29,weight lifting,163\ne19372,2022/10/31,biking,97\ne19374,2022/11/01,hiking,144\ne19377,2022/11/02,weight lifting,130\ne19382,2022/11/03,weight lifting,113\ne19388,2022/11/04,HIIT,129\ne19399,2022/11/06,swimming,105\ne19403,2022/11/07,biking,145\ne19410,2022/11/09,hiking,161\ne19414,2022/11/10,biking,147\ne19425,2022/11/13,HIIT,116\ne19434,2022/11/16,hiking,94\ne19439,2022/11/17,biking,156\ne19444,2022/11/19,biking,157\ne19451,2022/11/21,running,157\ne19470,2022/11/26,hiking,147\ne19481,2022/11/29,weight lifting,134\ne19513,2022/12/09,HIIT,141\ne19515,2022/12/10,running,153\ne19518,2022/12/11,swimming,100\ne19524,2022/12/12,swimming,138\ne19529,2022/12/13,swimming,137\ne19549,2022/12/18,biking,135\ne19554,2022/12/19,swimming,150\ne19564,2022/12/23,hiking,144\ne19569,2022/12/24,weight lifting,154\ne19585,2022/12/28,running,131\ne19600,2022/12/31,HIIT,114\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/daily_meal-log.csv",
    "content": "eid,date,mealtype,foodtype,people_string\ne128,2010/01/01,dinner,sushi,\ne130,2010/01/02,lunch,chinese food,\"Hazel, Layla, Rylee, Piper, Olivia, Piper, Claire, Eva, Nevaeh\"\ne131,2010/01/02,dinner,pasta,\ne134,2010/01/03,breakfast,oatmeal,\ne139,2010/01/04,breakfast,\"eggs, sausages, and bread\",\"Piper, Avery, Claire, Piper, Nora, Rylee, Eva, Nevaeh, Lydia, Kinsley\"\ne140,2010/01/04,lunch,tacos,\ne141,2010/01/04,dinner,tacos,\ne143,2010/01/05,breakfast,toast and cheese,Kinsley\ne144,2010/01/05,dinner,steak,\ne147,2010/01/06,breakfast,pancakes,\ne149,2010/01/07,dinner,a burger,\"Piper, Claire, Hazel, Nevaeh, Olivia, Lydia, Eva, Kinsley, Rylee, Avery, Nora, Layla, Piper\"\ne151,2010/01/08,lunch,indian food,\ne152,2010/01/08,dinner,fish and chips,\ne156,2010/01/09,dinner,sushi,\ne164,2010/01/11,breakfast,\"eggs, sausages, and bread\",\"Lydia, Avery, Rylee\"\ne165,2010/01/11,lunch,sandwich,\ne166,2010/01/12,breakfast,toast and cheese,\ne167,2010/01/12,dinner,fish and chips,\ne170,2010/01/13,breakfast,pancakes,\"Willow, Benjamin, Jackson, Avery\"\ne171,2010/01/13,lunch,sushi,Andrew\ne175,2010/01/14,lunch,a burger,\ne176,2010/01/14,dinner,sandwich,\ne185,2010/01/18,dinner,steak,\ne189,2010/01/19,breakfast,pancakes,\ne193,2010/01/20,breakfast,peanut-butter-jam,\"Nora, Lydia, Piper, Layla, Rylee, Avery, Kinsley, Eva, Claire, Hazel, Piper, Olivia\"\ne194,2010/01/20,lunch,a burger,\"Andrew, Emily, Kayden\"\ne195,2010/01/20,dinner,sushi,\"Benjamin, Willow, Avery, Jackson\"\ne198,2010/01/21,lunch,tacos,\ne199,2010/01/21,dinner,indian food,\"Emily, Carter\"\ne201,2010/01/22,breakfast,pancakes,\ne202,2010/01/22,lunch,pasta,\ne207,2010/01/23,breakfast,oatmeal,\ne209,2010/01/24,breakfast,peanut-butter-jam,\"Emily, Andrew, Kayden\"\ne210,2010/01/24,lunch,sandwich,\ne213,2010/01/25,lunch,a burger,\"Benjamin, Willow, Jackson\"\ne219,2010/01/28,breakfast,oatmeal,\ne220,2010/01/28,lunch,sandwich,\ne224,2010/01/29,dinner,indian food,\ne228,2010/01/30,breakfast,cereals,\ne229,2010/01/30,lunch,a burger,\ne232,2010/01/31,lunch,steak,\ne233,2010/01/31,dinner,fish and chips,\ne236,2010/02/01,dinner,chinese food,\"Kayden, Emily\"\ne240,2010/02/02,lunch,indian food,\ne241,2010/02/02,dinner,fish and chips,\ne242,2010/02/03,breakfast,toast and cheese,\"Avery, Benjamin\"\ne243,2010/02/03,lunch,steak,\ne247,2010/02/04,lunch,a burger,\"Jackson, Benjamin, Willow\"\ne248,2010/02/04,dinner,chinese food,\ne252,2010/02/05,breakfast,oatmeal,\ne253,2010/02/05,lunch,fish and chips,Avery\ne257,2010/02/06,breakfast,\"eggs, sausages, and bread\",\ne258,2010/02/06,lunch,tacos,\ne259,2010/02/06,dinner,a burger,\"Hazel, Claire, Piper, Rylee, Piper, Lydia, Nevaeh\"\ne262,2010/02/07,breakfast,\"eggs, sausages, and bread\",\ne263,2010/02/07,lunch,pasta,\ne267,2010/02/08,lunch,a burger,\ne270,2010/02/09,breakfast,toast and cheese,\ne271,2010/02/09,lunch,fish and chips,\ne275,2010/02/10,dinner,tacos,\ne278,2010/02/11,breakfast,cereals,\"Jackson, Avery\"\ne279,2010/02/11,dinner,a burger,\ne282,2010/02/12,breakfast,\"eggs, sausages, and bread\",\ne284,2010/02/13,dinner,indian food,\"Andrew, Carter, Emily\"\ne287,2010/02/14,breakfast,toast and cheese,\"Andrew, Emily, Kayden\"\ne288,2010/02/14,lunch,chinese food,\"Kayden, Carter\"\ne289,2010/02/15,breakfast,pancakes,\"Emily, Carter, Andrew\"\ne290,2010/02/15,dinner,steak,\"Nevaeh, Hazel, Kinsley, Lydia, Eva, Layla, Avery, Piper, Rylee, Olivia\"\ne294,2010/02/16,breakfast,toast and cheese,\"Kayden, Andrew, Emily\"\ne295,2010/02/16,lunch,a burger,\ne296,2010/02/16,dinner,sandwich,Jackson\ne300,2010/02/17,breakfast,peanut-butter-jam,\ne302,2010/02/18,lunch,steak,\ne303,2010/02/18,dinner,sandwich,\ne308,2010/02/19,breakfast,toast and cheese,\"Emily, Kayden, Carter, Andrew\"\ne313,2010/02/21,breakfast,cereals,\"Carter, Emily\"\ne317,2010/02/22,breakfast,cereals,\ne323,2010/02/24,lunch,pasta,\ne324,2010/02/24,dinner,steak,\"Kayden, Emily, Andrew\"\ne327,2010/02/25,breakfast,\"eggs, sausages, and bread\",\ne328,2010/02/25,dinner,chinese food,\ne331,2010/02/26,breakfast,oatmeal,Emily\ne332,2010/02/26,dinner,pasta,\ne335,2010/02/27,lunch,sandwich,\ne336,2010/02/27,dinner,steak,\"Olivia, Nevaeh\"\ne339,2010/02/28,breakfast,cereals,\ne340,2010/02/28,lunch,sushi,\"Avery, Willow, Benjamin\"\ne344,2010/03/01,lunch,tacos,\ne348,2010/03/02,lunch,sandwich,\"Benjamin, Avery\"\ne351,2010/03/03,lunch,sushi,\"Emily, Carter\"\ne355,2010/03/04,breakfast,peanut-butter-jam,\"Kayden, Carter, Andrew\"\ne356,2010/03/04,lunch,indian food,\"Kayden, Andrew, Emily, Carter\"\ne360,2010/03/05,breakfast,peanut-butter-jam,\"Nevaeh, Layla, Piper, Kinsley, Olivia, Eva, Avery, Lydia, Claire\"\ne363,2010/03/06,breakfast,pancakes,Benjamin\ne364,2010/03/06,lunch,chinese food,\ne365,2010/03/06,dinner,indian food,\"Piper, Lydia, Rylee, Layla, Olivia, Avery\"\ne368,2010/03/07,breakfast,pancakes,\ne369,2010/03/07,dinner,a burger,\"Avery, Rylee, Nevaeh, Piper, Nora, Hazel\"\ne373,2010/03/08,lunch,indian food,\ne374,2010/03/08,dinner,chinese food,\ne379,2010/03/10,breakfast,pancakes,\ne380,2010/03/10,dinner,tacos,\ne386,2010/03/11,breakfast,toast and cheese,\"Kayden, Emily, Carter, Andrew\"\ne387,2010/03/11,lunch,chinese food,\ne388,2010/03/11,dinner,fish and chips,\"Kayden, Emily\"\ne393,2010/03/12,lunch,fish and chips,\ne394,2010/03/12,dinner,a burger,\"Lydia, Olivia, Rylee, Piper, Avery, Claire, Nora\"\ne401,2010/03/14,lunch,indian food,\"Carter, Andrew, Emily, Kayden\"\ne406,2010/03/15,breakfast,oatmeal,\"Carter, Andrew\"\ne409,2010/03/17,breakfast,\"eggs, sausages, and bread\",\ne414,2010/03/18,lunch,steak,\"Emily, Andrew, Kayden, Carter\"\ne416,2010/03/19,dinner,steak,\"Eva, Hazel, Kinsley, Nora, Layla, Piper, Piper, Claire, Olivia, Nevaeh\"\ne420,2010/03/20,breakfast,\"eggs, sausages, and bread\",Emily\ne421,2010/03/20,lunch,a burger,\ne422,2010/03/20,dinner,fish and chips,\ne425,2010/03/21,breakfast,cereals,\ne426,2010/03/21,lunch,chinese food,\ne430,2010/03/22,lunch,sushi,\"Benjamin, Avery, Willow\"\ne431,2010/03/22,dinner,pasta,\ne436,2010/03/23,breakfast,pancakes,\ne441,2010/03/24,lunch,fish and chips,\ne442,2010/03/24,dinner,chinese food,\ne451,2010/03/26,dinner,a burger,Emily\ne457,2010/03/27,breakfast,pancakes,\"Kinsley, Lydia, Rylee\"\ne458,2010/03/27,lunch,tacos,\ne462,2010/03/28,breakfast,cereals,\"Emily, Carter, Kayden\"\ne463,2010/03/28,lunch,indian food,\ne466,2010/03/29,breakfast,oatmeal,\ne467,2010/03/29,lunch,sandwich,\ne472,2010/03/30,lunch,steak,\ne473,2010/03/30,dinner,a burger,\"Rylee, Claire, Piper, Nevaeh, Layla, Eva, Olivia, Kinsley, Avery\"\ne477,2010/03/31,lunch,tacos,\"Emily, Carter\"\ne482,2010/04/01,lunch,fish and chips,\"Kinsley, Avery, Olivia, Lydia, Rylee, Nevaeh, Hazel, Layla, Claire, Eva\"\ne489,2010/04/03,dinner,fish and chips,\ne492,2010/04/04,breakfast,peanut-butter-jam,\"Emily, Andrew, Kayden, Carter\"\ne493,2010/04/04,lunch,a burger,\ne498,2010/04/05,lunch,steak,\ne500,2010/04/06,dinner,chinese food,\ne504,2010/04/07,lunch,tacos,\ne507,2010/04/08,breakfast,peanut-butter-jam,\"Jackson, Avery, Benjamin, Willow\"\ne508,2010/04/08,lunch,pasta,\"Carter, Andrew, Kayden, Emily\"\ne512,2010/04/09,breakfast,toast and cheese,Benjamin\ne514,2010/04/10,breakfast,\"eggs, sausages, and bread\",\ne515,2010/04/10,lunch,tacos,\ne520,2010/04/11,breakfast,oatmeal,\"Andrew, Emily, Kayden\"\ne524,2010/04/12,breakfast,oatmeal,\ne525,2010/04/12,lunch,sandwich,\ne528,2010/04/13,breakfast,pancakes,\ne529,2010/04/13,dinner,sushi,\ne532,2010/04/14,lunch,a burger,\ne533,2010/04/14,dinner,fish and chips,\ne540,2010/04/16,lunch,tacos,\ne541,2010/04/16,dinner,pasta,\ne545,2010/04/17,breakfast,oatmeal,\ne546,2010/04/17,lunch,indian food,\ne550,2010/04/18,breakfast,peanut-butter-jam,\"Emily, Kayden, Andrew\"\ne551,2010/04/18,lunch,pasta,\ne552,2010/04/18,dinner,a burger,\"Kayden, Andrew, Emily, Carter\"\ne556,2010/04/19,lunch,tacos,\ne557,2010/04/19,dinner,chinese food,\"Andrew, Kayden, Emily, Carter\"\ne560,2010/04/20,breakfast,cereals,\"Andrew, Carter\"\ne564,2010/04/21,dinner,fish and chips,\ne568,2010/04/22,lunch,tacos,\ne577,2010/04/25,lunch,chinese food,\ne578,2010/04/25,dinner,fish and chips,Emily\ne582,2010/04/26,dinner,tacos,\ne585,2010/04/27,breakfast,toast and cheese,\ne586,2010/04/27,lunch,steak,Piper\ne590,2010/04/28,dinner,sandwich,\ne592,2010/04/29,breakfast,\"eggs, sausages, and bread\",\ne593,2010/04/29,lunch,chinese food,\ne594,2010/04/29,dinner,pasta,\"Willow, Benjamin, Jackson\"\ne597,2010/04/30,dinner,pasta,\ne600,2010/05/01,lunch,tacos,\ne606,2010/05/03,dinner,indian food,\ne609,2010/05/04,lunch,sandwich,\ne610,2010/05/04,dinner,a burger,\ne613,2010/05/05,breakfast,oatmeal,\"Hazel, Nevaeh, Claire\"\ne615,2010/05/06,breakfast,cereals,\"Andrew, Kayden\"\ne616,2010/05/06,dinner,steak,\ne618,2010/05/07,breakfast,\"eggs, sausages, and bread\",\"Nevaeh, Claire, Eva, Olivia, Piper, Kinsley, Rylee, Avery\"\ne619,2010/05/07,dinner,a burger,\ne622,2010/05/08,lunch,indian food,Jackson\ne623,2010/05/09,breakfast,oatmeal,\ne624,2010/05/09,dinner,steak,\ne627,2010/05/10,breakfast,peanut-butter-jam,\ne628,2010/05/10,lunch,sandwich,\ne629,2010/05/10,dinner,steak,\ne632,2010/05/11,breakfast,peanut-butter-jam,\"Piper, Layla, Claire, Eva, Nora, Hazel, Nevaeh, Olivia\"\ne633,2010/05/11,lunch,sandwich,\"Andrew, Carter, Emily, Kayden\"\ne634,2010/05/11,dinner,sandwich,\"Claire, Avery, Eva, Nora, Lydia, Rylee, Piper, Layla, Nevaeh, Kinsley, Piper, Olivia\"\ne635,2010/05/12,breakfast,peanut-butter-jam,Emily\ne636,2010/05/12,lunch,steak,\ne640,2010/05/13,breakfast,\"eggs, sausages, and bread\",\ne641,2010/05/13,dinner,indian food,\"Kayden, Emily, Carter\"\ne645,2010/05/14,lunch,steak,\ne647,2010/05/15,lunch,chinese food,\"Kayden, Carter, Andrew, Emily\"\ne648,2010/05/15,dinner,fish and chips,\ne651,2010/05/16,breakfast,\"eggs, sausages, and bread\",Carter\ne652,2010/05/16,dinner,steak,\ne656,2010/05/17,breakfast,peanut-butter-jam,\ne657,2010/05/17,lunch,steak,\"Jackson, Benjamin, Avery, Willow\"\ne659,2010/05/18,dinner,fish and chips,\"Jackson, Avery, Benjamin\"\ne663,2010/05/20,dinner,sandwich,\ne666,2010/05/21,breakfast,\"eggs, sausages, and bread\",\"Nevaeh, Kinsley, Lydia, Layla, Hazel, Olivia, Rylee, Piper, Avery, Piper, Claire, Nora\"\ne667,2010/05/21,lunch,sandwich,\ne669,2010/05/22,breakfast,\"eggs, sausages, and bread\",Carter\ne670,2010/05/22,lunch,indian food,\"Emily, Andrew, Carter, Kayden\"\ne671,2010/05/22,dinner,indian food,\"Olivia, Nora\"\ne676,2010/05/23,lunch,tacos,\"Layla, Piper, Piper, Eva, Claire, Nevaeh, Olivia, Kinsley, Avery\"\ne677,2010/05/23,dinner,a burger,\ne681,2010/05/24,lunch,sushi,\ne682,2010/05/24,dinner,steak,\"Andrew, Emily, Carter\"\ne685,2010/05/25,breakfast,peanut-butter-jam,\ne686,2010/05/25,lunch,pasta,\ne691,2010/05/27,lunch,fish and chips,\ne695,2010/05/28,lunch,chinese food,\"Benjamin, Willow, Jackson\"\ne700,2010/05/30,breakfast,oatmeal,\ne701,2010/05/30,lunch,steak,\ne702,2010/05/30,dinner,tacos,\ne708,2010/06/02,lunch,tacos,\ne712,2010/06/03,breakfast,oatmeal,\ne714,2010/06/04,lunch,chinese food,\ne715,2010/06/04,dinner,chinese food,\"Carter, Emily, Kayden\"\ne718,2010/06/05,breakfast,pancakes,\ne719,2010/06/05,lunch,a burger,\"Hazel, Layla, Avery\"\ne720,2010/06/05,dinner,tacos,\ne723,2010/06/06,lunch,steak,\ne726,2010/06/07,breakfast,\"eggs, sausages, and bread\",\ne729,2010/06/08,lunch,chinese food,Emily\ne735,2010/06/09,breakfast,oatmeal,\"Nevaeh, Kinsley, Lydia, Nora, Hazel, Avery, Claire, Rylee, Layla\"\ne736,2010/06/09,lunch,fish and chips,\"Kayden, Carter\"\ne740,2010/06/10,lunch,indian food,\ne746,2010/06/12,lunch,pasta,\"Emily, Andrew, Kayden\"\ne747,2010/06/12,dinner,chinese food,\ne750,2010/06/13,lunch,a burger,Nora\ne756,2010/06/15,breakfast,toast and cheese,\"Jackson, Avery, Benjamin, Willow\"\ne757,2010/06/15,lunch,fish and chips,\"Kayden, Emily, Carter\"\ne758,2010/06/15,dinner,indian food,\ne761,2010/06/16,lunch,tacos,\ne762,2010/06/16,dinner,steak,\"Nevaeh, Lydia, Piper, Claire, Layla, Rylee\"\ne764,2010/06/17,breakfast,peanut-butter-jam,\ne765,2010/06/17,dinner,steak,\"Andrew, Emily\"\ne767,2010/06/18,lunch,tacos,\"Kayden, Andrew\"\ne768,2010/06/18,dinner,fish and chips,\"Avery, Jackson, Willow, Benjamin\"\ne772,2010/06/19,breakfast,\"eggs, sausages, and bread\",\ne773,2010/06/19,lunch,pasta,\ne774,2010/06/19,dinner,fish and chips,\ne778,2010/06/20,lunch,pasta,Emily\ne780,2010/06/21,breakfast,oatmeal,\ne781,2010/06/21,lunch,indian food,\ne785,2010/06/22,breakfast,peanut-butter-jam,\"Nevaeh, Avery, Piper, Rylee, Nora, Kinsley\"\ne786,2010/06/22,lunch,steak,\ne787,2010/06/22,dinner,pasta,\"Benjamin, Avery, Willow, Jackson\"\ne790,2010/06/23,breakfast,peanut-butter-jam,\"Carter, Andrew, Kayden\"\ne791,2010/06/23,dinner,tacos,\ne795,2010/06/25,lunch,steak,\ne799,2010/06/26,breakfast,oatmeal,Carter\ne800,2010/06/26,lunch,pasta,\ne801,2010/06/26,dinner,sandwich,\"Rylee, Kinsley, Nevaeh, Avery, Layla\"\ne805,2010/06/27,lunch,pasta,\"Kayden, Emily, Carter, Andrew\"\ne808,2010/06/28,breakfast,peanut-butter-jam,\ne811,2010/06/29,breakfast,\"eggs, sausages, and bread\",\"Eva, Rylee, Avery, Nora, Layla, Piper, Claire, Hazel, Olivia, Piper, Lydia\"\ne813,2010/06/30,breakfast,toast and cheese,\ne814,2010/06/30,lunch,sandwich,Piper\ne815,2010/06/30,dinner,fish and chips,Carter\ne822,2010/07/03,lunch,sushi,\ne827,2010/07/05,lunch,indian food,Avery\ne832,2010/07/06,breakfast,toast and cheese,\ne833,2010/07/06,lunch,pasta,\"Willow, Jackson\"\ne837,2010/07/08,breakfast,peanut-butter-jam,\"Layla, Eva, Piper, Hazel, Nevaeh, Avery, Lydia, Piper, Olivia, Claire, Rylee, Nora, Kinsley\"\ne838,2010/07/08,lunch,tacos,\"Avery, Jackson, Willow, Benjamin\"\ne842,2010/07/09,breakfast,\"eggs, sausages, and bread\",\ne846,2010/07/10,breakfast,peanut-butter-jam,\ne850,2010/07/11,lunch,indian food,\"Kayden, Emily\"\ne852,2010/07/12,breakfast,\"eggs, sausages, and bread\",\ne853,2010/07/12,lunch,pasta,\ne856,2010/07/13,lunch,fish and chips,\"Willow, Benjamin, Avery\"\ne858,2010/07/14,lunch,sushi,\ne864,2010/07/15,lunch,chinese food,\ne865,2010/07/15,dinner,fish and chips,\ne868,2010/07/16,breakfast,peanut-butter-jam,\"Lydia, Piper, Layla, Claire, Olivia, Eva, Avery\"\ne869,2010/07/16,lunch,chinese food,\"Emily, Andrew, Kayden\"\ne870,2010/07/16,dinner,steak,\ne876,2010/07/18,breakfast,pancakes,\ne877,2010/07/18,lunch,a burger,\"Eva, Hazel, Claire, Layla, Nevaeh, Rylee\"\ne878,2010/07/18,dinner,sushi,\ne879,2010/07/19,breakfast,oatmeal,\ne880,2010/07/19,lunch,sushi,\"Jackson, Willow, Avery\"\ne881,2010/07/19,dinner,fish and chips,Kayden\ne885,2010/07/20,lunch,indian food,\ne890,2010/07/21,breakfast,pancakes,\ne891,2010/07/21,dinner,pasta,\ne893,2010/07/23,dinner,pasta,\"Carter, Emily, Kayden\"\ne900,2010/07/25,lunch,sushi,Willow\ne903,2010/07/26,breakfast,cereals,\ne907,2010/07/27,breakfast,toast and cheese,\ne908,2010/07/27,dinner,sandwich,\ne911,2010/07/28,breakfast,oatmeal,\"Emily, Kayden, Carter, Andrew\"\ne912,2010/07/28,lunch,fish and chips,\ne916,2010/07/29,breakfast,\"eggs, sausages, and bread\",\ne917,2010/07/29,lunch,steak,\ne918,2010/07/29,dinner,indian food,Kayden\ne923,2010/07/30,lunch,chinese food,\"Piper, Nevaeh, Layla\"\ne927,2010/07/31,breakfast,toast and cheese,\ne931,2010/08/01,breakfast,toast and cheese,\ne934,2010/08/02,breakfast,cereals,\ne935,2010/08/02,lunch,indian food,\"Kayden, Carter, Andrew\"\ne936,2010/08/02,dinner,sandwich,\ne940,2010/08/03,lunch,steak,\ne941,2010/08/03,dinner,sushi,\ne945,2010/08/04,breakfast,cereals,\ne946,2010/08/04,dinner,fish and chips,\ne950,2010/08/05,breakfast,pancakes,\"Emily, Carter, Kayden\"\ne951,2010/08/05,lunch,sandwich,\ne952,2010/08/05,dinner,sushi,\ne954,2010/08/06,breakfast,toast and cheese,\"Avery, Jackson\"\ne958,2010/08/07,breakfast,peanut-butter-jam,\ne959,2010/08/07,dinner,tacos,Andrew\ne964,2010/08/08,dinner,a burger,Avery\ne969,2010/08/09,dinner,sandwich,\ne973,2010/08/10,dinner,steak,\"Carter, Emily\"\ne976,2010/08/11,lunch,fish and chips,\ne978,2010/08/12,lunch,sushi,\"Jackson, Benjamin\"\ne982,2010/08/13,breakfast,oatmeal,\ne983,2010/08/14,dinner,fish and chips,\ne986,2010/08/15,dinner,a burger,\ne990,2010/08/17,breakfast,pancakes,\"Eva, Layla, Claire, Nevaeh, Piper, Olivia, Hazel\"\ne991,2010/08/17,dinner,sandwich,\ne994,2010/08/18,lunch,tacos,\ne999,2010/08/19,breakfast,oatmeal,\ne1000,2010/08/20,dinner,sushi,\"Eva, Nevaeh, Rylee, Olivia, Nora, Hazel, Lydia, Claire, Piper, Kinsley, Piper, Avery, Layla\"\ne1004,2010/08/21,breakfast,peanut-butter-jam,\ne1005,2010/08/21,lunch,sandwich,\"Andrew, Carter\"\ne1009,2010/08/22,breakfast,cereals,\ne1012,2010/08/23,breakfast,cereals,\ne1013,2010/08/23,dinner,sushi,\"Emily, Carter, Kayden\"\ne1014,2010/08/24,lunch,pasta,Avery\ne1015,2010/08/24,dinner,sandwich,\ne1019,2010/08/25,lunch,a burger,\ne1022,2010/08/26,breakfast,cereals,\ne1023,2010/08/26,lunch,indian food,\"Eva, Piper, Avery, Layla, Piper\"\ne1025,2010/08/27,breakfast,peanut-butter-jam,\"Kayden, Andrew, Carter, Emily\"\ne1027,2010/08/28,breakfast,toast and cheese,\ne1028,2010/08/28,lunch,sushi,Carter\ne1029,2010/08/28,dinner,a burger,\"Avery, Piper, Claire, Rylee, Nora, Hazel, Kinsley, Nevaeh, Layla, Olivia, Piper\"\ne1032,2010/08/29,lunch,pasta,\ne1033,2010/08/29,dinner,indian food,\ne1034,2010/08/30,breakfast,pancakes,\"Benjamin, Avery, Willow, Jackson\"\ne1035,2010/08/30,dinner,fish and chips,\ne1039,2010/09/01,breakfast,cereals,\ne1040,2010/09/01,lunch,steak,Eva\ne1041,2010/09/01,dinner,tacos,Emily\ne1044,2010/09/02,breakfast,cereals,Willow\ne1045,2010/09/02,dinner,tacos,\"Willow, Jackson\"\ne1048,2010/09/03,breakfast,\"eggs, sausages, and bread\",\ne1053,2010/09/04,breakfast,pancakes,\ne1058,2010/09/05,dinner,fish and chips,\"Emily, Carter\"\ne1066,2010/09/07,lunch,fish and chips,\ne1067,2010/09/07,dinner,indian food,\"Carter, Emily, Kayden, Andrew\"\ne1071,2010/09/08,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden, Andrew\"\ne1074,2010/09/09,lunch,sandwich,\ne1075,2010/09/09,dinner,steak,\ne1084,2010/09/11,breakfast,oatmeal,\"Andrew, Carter\"\ne1085,2010/09/11,lunch,a burger,Carter\ne1088,2010/09/12,lunch,tacos,\ne1089,2010/09/12,dinner,sandwich,\ne1094,2010/09/13,breakfast,\"eggs, sausages, and bread\",\"Hazel, Nevaeh, Layla, Nora, Piper, Lydia, Eva, Claire, Rylee, Kinsley, Olivia\"\ne1095,2010/09/13,lunch,steak,\ne1106,2010/09/16,lunch,tacos,\ne1112,2010/09/17,breakfast,oatmeal,\ne1118,2010/09/19,lunch,steak,\ne1119,2010/09/19,dinner,steak,\ne1124,2010/09/20,breakfast,cereals,\"Kayden, Emily\"\ne1126,2010/09/21,dinner,steak,\"Nora, Rylee, Claire, Piper, Olivia, Piper\"\ne1130,2010/09/22,breakfast,peanut-butter-jam,\ne1131,2010/09/22,dinner,chinese food,\ne1134,2010/09/23,breakfast,pancakes,\ne1135,2010/09/23,dinner,a burger,\"Piper, Rylee, Avery, Layla, Nora\"\ne1137,2010/09/24,dinner,pasta,\ne1141,2010/09/25,dinner,chinese food,\ne1145,2010/09/26,breakfast,cereals,\"Kayden, Carter\"\ne1146,2010/09/26,dinner,sandwich,\"Willow, Jackson, Benjamin, Avery\"\ne1150,2010/09/27,breakfast,\"eggs, sausages, and bread\",\"Willow, Benjamin\"\ne1151,2010/09/27,lunch,chinese food,\"Olivia, Piper, Lydia, Eva, Rylee\"\ne1153,2010/09/28,breakfast,toast and cheese,\ne1154,2010/09/28,lunch,chinese food,\ne1155,2010/09/28,dinner,tacos,Piper\ne1158,2010/09/29,breakfast,toast and cheese,\ne1159,2010/09/29,lunch,sandwich,Willow\ne1160,2010/09/29,dinner,pasta,\ne1165,2010/10/01,breakfast,peanut-butter-jam,\ne1168,2010/10/02,lunch,a burger,\ne1172,2010/10/03,lunch,pasta,\ne1175,2010/10/04,lunch,pasta,\"Andrew, Kayden\"\ne1176,2010/10/04,dinner,pasta,\"Carter, Kayden, Andrew\"\ne1179,2010/10/05,lunch,steak,\ne1180,2010/10/06,breakfast,pancakes,\"Emily, Andrew\"\ne1181,2010/10/06,dinner,fish and chips,\ne1186,2010/10/07,dinner,sushi,\ne1189,2010/10/08,breakfast,cereals,Emily\ne1190,2010/10/08,lunch,sandwich,\ne1192,2010/10/09,lunch,pasta,\"Andrew, Kayden\"\ne1195,2010/10/10,dinner,tacos,\"Nora, Layla, Rylee, Hazel, Piper, Claire\"\ne1203,2010/10/13,dinner,pasta,\ne1205,2010/10/14,dinner,indian food,Carter\ne1214,2010/10/16,breakfast,pancakes,\ne1215,2010/10/16,lunch,pasta,\ne1218,2010/10/17,breakfast,cereals,\"Piper, Avery, Olivia, Hazel\"\ne1221,2010/10/18,breakfast,toast and cheese,\"Avery, Benjamin, Jackson, Willow\"\ne1222,2010/10/18,dinner,pasta,\ne1224,2010/10/19,breakfast,oatmeal,\ne1225,2010/10/19,lunch,indian food,\ne1226,2010/10/20,lunch,tacos,\ne1227,2010/10/20,dinner,indian food,\"Claire, Kinsley, Olivia, Nevaeh, Piper, Lydia, Avery, Hazel, Layla, Piper, Rylee\"\ne1231,2010/10/21,breakfast,\"eggs, sausages, and bread\",\ne1232,2010/10/21,dinner,sushi,\"Eva, Lydia, Piper, Claire, Rylee, Layla, Avery, Piper, Nora\"\ne1236,2010/10/22,breakfast,toast and cheese,\ne1239,2010/10/23,breakfast,toast and cheese,\ne1240,2010/10/23,lunch,indian food,\ne1241,2010/10/23,dinner,indian food,\"Andrew, Carter, Emily, Kayden\"\ne1245,2010/10/24,lunch,sandwich,\ne1249,2010/10/25,breakfast,pancakes,\ne1253,2010/10/27,breakfast,\"eggs, sausages, and bread\",Carter\ne1257,2010/10/28,dinner,a burger,\"Emily, Carter\"\ne1261,2010/10/29,breakfast,oatmeal,\"Nevaeh, Rylee, Avery, Layla, Olivia, Kinsley\"\ne1264,2010/10/30,breakfast,oatmeal,\ne1265,2010/10/30,dinner,fish and chips,\"Carter, Emily, Andrew\"\ne1269,2010/10/31,dinner,pasta,\ne1272,2010/11/01,lunch,a burger,\ne1273,2010/11/01,dinner,chinese food,\ne1278,2010/11/02,lunch,steak,\ne1281,2010/11/03,breakfast,\"eggs, sausages, and bread\",Jackson\ne1282,2010/11/03,dinner,steak,\ne1287,2010/11/04,breakfast,peanut-butter-jam,\"Kinsley, Piper, Nevaeh, Piper, Lydia, Avery, Nora, Olivia, Hazel, Rylee, Layla, Claire, Eva\"\ne1288,2010/11/04,lunch,a burger,\"Kayden, Andrew\"\ne1289,2010/11/04,dinner,sushi,\ne1292,2010/11/05,lunch,steak,\ne1295,2010/11/06,breakfast,peanut-butter-jam,\ne1296,2010/11/06,lunch,sushi,\ne1297,2010/11/06,dinner,sandwich,\"Kayden, Carter, Andrew\"\ne1302,2010/11/07,breakfast,pancakes,Andrew\ne1303,2010/11/07,dinner,pasta,\"Emily, Kayden, Andrew\"\ne1307,2010/11/09,lunch,sandwich,\"Benjamin, Avery, Willow, Jackson\"\ne1308,2010/11/09,dinner,sushi,Jackson\ne1312,2010/11/10,breakfast,\"eggs, sausages, and bread\",\ne1313,2010/11/10,dinner,chinese food,\"Layla, Olivia\"\ne1317,2010/11/12,lunch,sushi,\ne1318,2010/11/12,dinner,a burger,\ne1322,2010/11/13,breakfast,cereals,\"Rylee, Piper, Olivia, Layla, Nora, Claire, Hazel, Eva\"\ne1323,2010/11/13,lunch,sandwich,Emily\ne1324,2010/11/13,dinner,chinese food,\ne1326,2010/11/15,breakfast,cereals,\ne1330,2010/11/16,lunch,indian food,\"Avery, Kinsley, Lydia\"\ne1333,2010/11/17,breakfast,oatmeal,\"Andrew, Carter, Kayden\"\ne1334,2010/11/17,dinner,pasta,\"Carter, Andrew, Emily\"\ne1335,2010/11/18,breakfast,\"eggs, sausages, and bread\",\ne1336,2010/11/18,lunch,steak,\"Andrew, Carter, Emily, Kayden\"\ne1337,2010/11/18,dinner,tacos,\ne1340,2010/11/19,breakfast,oatmeal,\ne1345,2010/11/20,lunch,tacos,\"Kayden, Emily, Carter\"\ne1349,2010/11/21,breakfast,peanut-butter-jam,\"Andrew, Kayden, Emily\"\ne1350,2010/11/21,lunch,tacos,\ne1351,2010/11/21,dinner,sandwich,\ne1355,2010/11/22,breakfast,peanut-butter-jam,\ne1356,2010/11/22,lunch,tacos,\ne1357,2010/11/22,dinner,indian food,\ne1360,2010/11/23,breakfast,peanut-butter-jam,\"Andrew, Emily, Carter, Kayden\"\ne1361,2010/11/23,dinner,sushi,\"Rylee, Nora, Eva, Olivia, Avery, Nevaeh, Lydia\"\ne1365,2010/11/24,dinner,steak,\ne1366,2010/11/25,breakfast,oatmeal,\"Emily, Carter, Andrew, Kayden\"\ne1367,2010/11/25,dinner,sandwich,Carter\ne1370,2010/11/26,lunch,pasta,\ne1375,2010/11/27,breakfast,pancakes,\ne1376,2010/11/27,dinner,a burger,\ne1380,2010/11/28,lunch,chinese food,\ne1383,2010/11/29,lunch,a burger,\ne1384,2010/11/29,dinner,fish and chips,\ne1388,2010/11/30,breakfast,peanut-butter-jam,\"Avery, Piper, Nevaeh, Olivia, Claire, Lydia, Hazel, Eva, Nora, Piper, Kinsley\"\ne1389,2010/11/30,dinner,pasta,\"Eva, Rylee, Lydia, Kinsley, Olivia, Layla, Nevaeh, Claire, Piper, Hazel, Avery\"\ne1391,2010/12/01,lunch,pasta,\"Kayden, Emily, Andrew, Carter\"\ne1392,2010/12/01,dinner,tacos,\"Eva, Olivia, Layla, Piper, Claire, Rylee, Lydia, Avery, Piper, Nora\"\ne1395,2010/12/02,breakfast,\"eggs, sausages, and bread\",Emily\ne1404,2010/12/05,lunch,sushi,\ne1408,2010/12/06,lunch,steak,\ne1409,2010/12/06,dinner,a burger,\"Rylee, Kinsley, Nevaeh, Piper, Eva, Nora, Avery\"\ne1414,2010/12/07,breakfast,cereals,\ne1415,2010/12/07,dinner,fish and chips,\"Andrew, Kayden\"\ne1418,2010/12/08,breakfast,toast and cheese,\ne1419,2010/12/08,lunch,chinese food,\"Avery, Benjamin, Jackson, Willow\"\ne1420,2010/12/09,breakfast,oatmeal,\ne1421,2010/12/09,lunch,steak,\ne1425,2010/12/10,breakfast,oatmeal,\ne1429,2010/12/11,breakfast,oatmeal,\"Benjamin, Avery, Jackson, Willow\"\ne1430,2010/12/11,lunch,tacos,\ne1431,2010/12/11,dinner,chinese food,\ne1434,2010/12/12,breakfast,oatmeal,\"Andrew, Carter, Emily, Kayden\"\ne1436,2010/12/13,breakfast,peanut-butter-jam,\"Lydia, Layla, Avery, Rylee\"\ne1437,2010/12/13,dinner,sushi,\ne1441,2010/12/14,breakfast,pancakes,\ne1442,2010/12/14,lunch,tacos,\ne1443,2010/12/14,dinner,indian food,\ne1445,2010/12/15,breakfast,\"eggs, sausages, and bread\",\ne1446,2010/12/15,lunch,sushi,\"Nora, Piper, Lydia, Nevaeh, Hazel, Layla, Piper, Claire, Kinsley, Avery, Olivia, Rylee, Eva\"\ne1447,2010/12/15,dinner,pasta,\ne1451,2010/12/16,lunch,pasta,\ne1452,2010/12/16,dinner,tacos,\ne1454,2010/12/17,lunch,a burger,\ne1455,2010/12/17,dinner,a burger,\ne1460,2010/12/18,lunch,sandwich,\"Benjamin, Willow\"\ne1463,2010/12/19,dinner,sandwich,Carter\ne1469,2010/12/20,breakfast,peanut-butter-jam,\ne1470,2010/12/20,dinner,chinese food,\"Kayden, Andrew, Emily\"\ne1474,2010/12/21,breakfast,toast and cheese,\ne1475,2010/12/21,dinner,sushi,\ne1479,2010/12/22,dinner,tacos,\ne1484,2010/12/23,dinner,indian food,\"Avery, Lydia, Rylee, Nora, Piper, Layla, Eva, Piper, Hazel, Olivia, Kinsley, Claire, Nevaeh\"\ne1487,2010/12/24,lunch,pasta,\"Kayden, Carter, Andrew, Emily\"\ne1490,2010/12/25,lunch,pasta,\ne1491,2010/12/25,dinner,sushi,\"Emily, Carter\"\ne1496,2010/12/26,breakfast,oatmeal,\ne1497,2010/12/26,lunch,sushi,\ne1498,2010/12/26,dinner,indian food,\ne1500,2010/12/27,lunch,tacos,Kayden\ne1502,2010/12/28,lunch,sushi,\ne1504,2010/12/29,breakfast,cereals,\ne1509,2010/12/30,breakfast,pancakes,\ne1510,2010/12/30,lunch,indian food,Carter\ne1511,2010/12/31,lunch,pasta,\ne1512,2010/12/31,dinner,tacos,\ne1648,2011/01/01,breakfast,\"eggs, sausages, and bread\",\ne1649,2011/01/01,lunch,sushi,\ne1650,2011/01/01,dinner,a burger,\"Rylee, Hazel, Layla, Eva, Piper\"\ne1652,2011/01/02,breakfast,pancakes,\"Kayden, Carter, Andrew\"\ne1653,2011/01/02,dinner,steak,\ne1656,2011/01/03,lunch,sushi,Kinsley\ne1665,2011/01/05,lunch,sushi,\ne1669,2011/01/06,lunch,sushi,Carter\ne1670,2011/01/06,dinner,steak,\ne1674,2011/01/07,breakfast,peanut-butter-jam,Kayden\ne1675,2011/01/07,lunch,chinese food,\ne1676,2011/01/07,dinner,fish and chips,\ne1680,2011/01/08,breakfast,\"eggs, sausages, and bread\",Emily\ne1681,2011/01/08,lunch,indian food,\"Carter, Emily, Kayden\"\ne1684,2011/01/09,lunch,chinese food,\ne1685,2011/01/09,dinner,sandwich,Kayden\ne1689,2011/01/10,lunch,sushi,\ne1693,2011/01/11,breakfast,pancakes,\ne1697,2011/01/13,breakfast,oatmeal,\"Lydia, Layla\"\ne1698,2011/01/13,lunch,tacos,\"Benjamin, Willow, Jackson, Avery\"\ne1702,2011/01/14,breakfast,pancakes,\ne1703,2011/01/14,lunch,indian food,\"Kinsley, Hazel, Rylee, Olivia, Nora, Avery, Piper, Piper, Nevaeh, Claire, Layla\"\ne1708,2011/01/16,lunch,steak,\ne1713,2011/01/17,breakfast,peanut-butter-jam,\"Avery, Willow, Jackson, Benjamin\"\ne1714,2011/01/17,lunch,a burger,\"Benjamin, Avery, Willow, Jackson\"\ne1715,2011/01/17,dinner,sandwich,\ne1722,2011/01/19,dinner,indian food,\ne1727,2011/01/22,dinner,tacos,\ne1731,2011/01/23,breakfast,\"eggs, sausages, and bread\",\ne1735,2011/01/24,breakfast,oatmeal,\ne1738,2011/01/25,breakfast,peanut-butter-jam,\"Carter, Andrew\"\ne1743,2011/01/26,breakfast,oatmeal,\"Claire, Hazel, Nora, Nevaeh, Piper, Avery, Eva, Kinsley, Piper, Lydia, Layla, Rylee\"\ne1744,2011/01/26,lunch,tacos,\ne1748,2011/01/27,lunch,a burger,\ne1749,2011/01/27,dinner,sushi,\"Carter, Kayden, Emily\"\ne1752,2011/01/28,dinner,chinese food,\"Lydia, Nevaeh, Claire, Hazel, Piper, Rylee, Layla, Olivia, Avery, Nora\"\ne1757,2011/01/29,breakfast,\"eggs, sausages, and bread\",\ne1758,2011/01/29,lunch,sandwich,\"Olivia, Nevaeh, Layla, Kinsley, Nora\"\ne1759,2011/01/29,dinner,chinese food,\ne1761,2011/01/30,breakfast,\"eggs, sausages, and bread\",\ne1764,2011/01/31,breakfast,peanut-butter-jam,\"Kayden, Andrew, Carter\"\ne1765,2011/01/31,dinner,steak,\ne1774,2011/02/02,breakfast,oatmeal,\ne1775,2011/02/02,lunch,sandwich,\ne1779,2011/02/03,breakfast,cereals,\ne1780,2011/02/04,lunch,pasta,\"Hazel, Piper, Olivia, Layla, Lydia, Kinsley, Piper, Nora\"\ne1781,2011/02/04,dinner,tacos,\ne1784,2011/02/05,lunch,a burger,\ne1786,2011/02/06,breakfast,\"eggs, sausages, and bread\",\ne1787,2011/02/06,lunch,tacos,\ne1790,2011/02/07,breakfast,peanut-butter-jam,\ne1791,2011/02/07,lunch,pasta,\ne1792,2011/02/07,dinner,steak,\"Carter, Emily, Andrew\"\ne1795,2011/02/08,dinner,chinese food,\ne1803,2011/02/10,breakfast,oatmeal,\"Kinsley, Nora, Hazel, Avery\"\ne1806,2011/02/11,breakfast,pancakes,\"Avery, Kinsley, Layla, Lydia, Olivia, Claire, Hazel, Rylee, Piper, Nevaeh, Piper, Eva, Nora\"\ne1807,2011/02/11,dinner,indian food,\"Carter, Emily, Andrew, Kayden\"\ne1810,2011/02/12,breakfast,peanut-butter-jam,\ne1811,2011/02/12,lunch,sandwich,\"Carter, Kayden\"\ne1812,2011/02/12,dinner,sushi,\ne1815,2011/02/13,lunch,steak,\ne1816,2011/02/13,dinner,chinese food,\"Kayden, Carter\"\ne1819,2011/02/14,lunch,sushi,\"Avery, Jackson, Benjamin, Willow\"\ne1822,2011/02/15,breakfast,\"eggs, sausages, and bread\",\ne1823,2011/02/15,lunch,a burger,\ne1824,2011/02/15,dinner,indian food,\"Rylee, Hazel, Lydia, Eva, Olivia, Piper, Piper, Claire, Kinsley, Avery, Nevaeh, Layla, Nora\"\ne1827,2011/02/16,dinner,sushi,\ne1829,2011/02/17,dinner,chinese food,\ne1831,2011/02/18,lunch,fish and chips,\"Piper, Nora, Nevaeh, Kinsley, Claire\"\ne1834,2011/02/19,breakfast,cereals,\ne1835,2011/02/19,lunch,pasta,\"Eva, Lydia, Avery, Piper, Olivia, Layla, Nora, Hazel\"\ne1837,2011/02/20,dinner,steak,\ne1840,2011/02/21,breakfast,\"eggs, sausages, and bread\",\ne1841,2011/02/21,lunch,sandwich,\ne1844,2011/02/22,lunch,fish and chips,\ne1846,2011/02/23,breakfast,pancakes,\"Andrew, Kayden, Emily\"\ne1847,2011/02/23,dinner,fish and chips,\ne1849,2011/02/24,lunch,fish and chips,\ne1850,2011/02/25,lunch,steak,Emily\ne1856,2011/02/27,dinner,tacos,\ne1860,2011/02/28,dinner,sushi,\ne1863,2011/03/01,dinner,sushi,\ne1868,2011/03/02,lunch,chinese food,\ne1870,2011/03/03,breakfast,toast and cheese,\"Layla, Hazel, Olivia, Avery, Kinsley, Rylee, Lydia, Piper, Nevaeh, Eva, Nora, Claire, Piper\"\ne1871,2011/03/03,dinner,indian food,\"Emily, Carter, Kayden\"\ne1876,2011/03/04,breakfast,toast and cheese,\ne1877,2011/03/04,lunch,indian food,\ne1878,2011/03/04,dinner,sandwich,Emily\ne1881,2011/03/05,lunch,pasta,\ne1885,2011/03/06,breakfast,\"eggs, sausages, and bread\",\"Hazel, Olivia, Piper, Kinsley, Claire, Avery, Layla, Eva\"\ne1889,2011/03/07,lunch,fish and chips,\ne1895,2011/03/09,breakfast,oatmeal,\"Olivia, Lydia, Hazel, Kinsley, Nora, Rylee, Nevaeh, Piper, Avery, Layla, Piper, Claire, Eva\"\ne1896,2011/03/09,lunch,fish and chips,\ne1899,2011/03/10,breakfast,oatmeal,\ne1900,2011/03/10,dinner,tacos,\"Kayden, Andrew\"\ne1905,2011/03/11,lunch,steak,\"Claire, Nora, Hazel, Kinsley, Rylee, Nevaeh\"\ne1908,2011/03/12,breakfast,\"eggs, sausages, and bread\",\ne1913,2011/03/13,breakfast,\"eggs, sausages, and bread\",\"Willow, Avery, Jackson, Benjamin\"\ne1914,2011/03/13,lunch,chinese food,\"Emily, Kayden\"\ne1915,2011/03/13,dinner,sandwich,\ne1919,2011/03/14,breakfast,peanut-butter-jam,\"Willow, Jackson\"\ne1920,2011/03/14,lunch,a burger,\ne1925,2011/03/15,breakfast,cereals,Carter\ne1929,2011/03/16,lunch,tacos,\"Willow, Avery, Jackson, Benjamin\"\ne1930,2011/03/16,dinner,pasta,\ne1932,2011/03/17,breakfast,pancakes,\ne1933,2011/03/17,dinner,a burger,\ne1938,2011/03/18,breakfast,oatmeal,\ne1939,2011/03/18,lunch,chinese food,\"Andrew, Emily, Carter\"\ne1940,2011/03/18,dinner,pasta,\"Carter, Emily, Kayden\"\ne1944,2011/03/19,breakfast,cereals,Nora\ne1950,2011/03/20,breakfast,toast and cheese,\ne1958,2011/03/22,breakfast,cereals,\ne1959,2011/03/22,lunch,pasta,\"Carter, Andrew, Emily, Kayden\"\ne1963,2011/03/23,breakfast,oatmeal,\ne1964,2011/03/23,lunch,steak,\"Benjamin, Jackson, Willow, Avery\"\ne1965,2011/03/24,breakfast,toast and cheese,\ne1966,2011/03/24,lunch,sandwich,\ne1967,2011/03/24,dinner,sushi,\ne1970,2011/03/25,lunch,chinese food,\ne1971,2011/03/25,dinner,fish and chips,\ne1977,2011/03/26,dinner,chinese food,\ne1980,2011/03/27,dinner,sushi,\ne1984,2011/03/28,breakfast,toast and cheese,\ne1988,2011/03/29,breakfast,peanut-butter-jam,\"Benjamin, Willow, Avery\"\ne1992,2011/03/30,breakfast,\"eggs, sausages, and bread\",\ne1993,2011/03/30,dinner,fish and chips,\"Benjamin, Jackson, Avery, Willow\"\ne1995,2011/03/31,breakfast,\"eggs, sausages, and bread\",\ne1996,2011/03/31,lunch,a burger,\"Andrew, Emily\"\ne1997,2011/03/31,dinner,sushi,\"Benjamin, Jackson\"\ne1999,2011/04/01,dinner,tacos,\ne2002,2011/04/02,dinner,chinese food,\ne2005,2011/04/03,breakfast,cereals,\ne2006,2011/04/03,lunch,sushi,\ne2007,2011/04/03,dinner,a burger,\"Emily, Carter\"\ne2010,2011/04/04,breakfast,pancakes,\ne2011,2011/04/04,lunch,fish and chips,\ne2016,2011/04/05,lunch,sandwich,\"Carter, Kayden, Andrew\"\ne2019,2011/04/06,breakfast,peanut-butter-jam,\ne2020,2011/04/06,dinner,steak,\ne2021,2011/04/07,dinner,sandwich,\ne2024,2011/04/09,dinner,sandwich,\"Andrew, Emily, Kayden\"\ne2029,2011/04/11,lunch,tacos,\"Olivia, Rylee, Nora, Lydia, Claire, Avery, Eva, Piper, Kinsley\"\ne2032,2011/04/12,breakfast,oatmeal,\"Piper, Nora, Rylee, Eva, Piper, Kinsley\"\ne2034,2011/04/13,breakfast,pancakes,\"Benjamin, Willow, Jackson, Avery\"\ne2039,2011/04/14,breakfast,peanut-butter-jam,\ne2040,2011/04/14,dinner,fish and chips,\ne2043,2011/04/15,dinner,chinese food,\"Carter, Andrew, Emily\"\ne2048,2011/04/16,breakfast,toast and cheese,\ne2049,2011/04/16,lunch,tacos,\ne2051,2011/04/17,breakfast,oatmeal,\"Nevaeh, Hazel, Kinsley, Avery, Eva, Piper, Nora, Rylee\"\ne2053,2011/04/18,breakfast,\"eggs, sausages, and bread\",\ne2062,2011/04/20,lunch,tacos,\"Andrew, Emily\"\ne2063,2011/04/20,dinner,a burger,\ne2066,2011/04/21,lunch,pasta,\"Nevaeh, Claire, Layla, Lydia, Piper\"\ne2067,2011/04/21,dinner,fish and chips,\"Avery, Piper, Piper, Eva, Claire, Olivia, Layla, Rylee, Lydia, Nevaeh, Nora, Kinsley\"\ne2070,2011/04/22,dinner,sandwich,Kayden\ne2075,2011/04/23,breakfast,peanut-butter-jam,\ne2079,2011/04/24,breakfast,toast and cheese,\ne2084,2011/04/25,breakfast,oatmeal,\ne2085,2011/04/25,lunch,sandwich,\"Claire, Nora\"\ne2087,2011/04/26,breakfast,toast and cheese,\ne2088,2011/04/26,lunch,chinese food,\"Emily, Carter, Andrew\"\ne2089,2011/04/26,dinner,tacos,\ne2093,2011/04/27,breakfast,peanut-butter-jam,\"Avery, Willow\"\ne2094,2011/04/27,dinner,fish and chips,\ne2100,2011/04/28,breakfast,pancakes,\"Rylee, Eva, Nora, Claire, Piper\"\ne2103,2011/04/29,breakfast,peanut-butter-jam,\ne2104,2011/04/29,dinner,chinese food,\ne2107,2011/04/30,breakfast,cereals,\ne2108,2011/04/30,lunch,steak,\ne2109,2011/04/30,dinner,sandwich,\ne2112,2011/05/01,breakfast,oatmeal,\"Kayden, Emily\"\ne2113,2011/05/01,lunch,sandwich,\ne2114,2011/05/01,dinner,indian food,\"Rylee, Lydia, Nevaeh, Eva, Kinsley, Olivia, Nora, Claire, Avery, Piper, Piper, Layla\"\ne2119,2011/05/02,breakfast,toast and cheese,\ne2120,2011/05/02,lunch,indian food,\ne2125,2011/05/03,breakfast,peanut-butter-jam,\ne2126,2011/05/03,lunch,tacos,\ne2127,2011/05/03,dinner,sushi,\ne2134,2011/05/05,breakfast,peanut-butter-jam,\ne2135,2011/05/05,dinner,sushi,\ne2137,2011/05/06,breakfast,oatmeal,\"Carter, Andrew, Kayden, Emily\"\ne2138,2011/05/06,lunch,steak,\ne2142,2011/05/07,dinner,pasta,\"Carter, Emily\"\ne2145,2011/05/08,breakfast,cereals,\ne2148,2011/05/09,breakfast,cereals,\ne2149,2011/05/09,lunch,tacos,\"Carter, Andrew\"\ne2156,2011/05/11,breakfast,pancakes,\"Andrew, Carter\"\ne2160,2011/05/13,breakfast,\"eggs, sausages, and bread\",\ne2161,2011/05/13,lunch,steak,\ne2162,2011/05/13,dinner,indian food,\"Carter, Andrew, Emily, Kayden\"\ne2169,2011/05/15,breakfast,toast and cheese,\ne2170,2011/05/15,lunch,fish and chips,\ne2174,2011/05/16,dinner,sandwich,\ne2177,2011/05/17,lunch,a burger,\ne2180,2011/05/18,dinner,pasta,\"Hazel, Layla, Avery, Olivia, Nora, Rylee, Claire, Nevaeh, Piper, Eva, Lydia\"\ne2182,2011/05/19,lunch,fish and chips,\ne2186,2011/05/21,breakfast,peanut-butter-jam,\ne2190,2011/05/22,breakfast,\"eggs, sausages, and bread\",\ne2191,2011/05/22,dinner,chinese food,\"Kinsley, Piper, Nora, Olivia, Piper, Layla, Claire, Rylee, Nevaeh, Hazel, Avery, Lydia\"\ne2193,2011/05/23,lunch,chinese food,\ne2195,2011/05/24,breakfast,peanut-butter-jam,Andrew\ne2196,2011/05/24,lunch,sushi,\ne2198,2011/05/25,breakfast,cereals,\"Nevaeh, Olivia, Eva, Layla, Piper, Hazel, Claire, Avery, Nora\"\ne2199,2011/05/25,dinner,sandwich,\"Olivia, Claire, Layla, Nora, Nevaeh, Piper, Rylee, Eva, Lydia\"\ne2204,2011/05/26,breakfast,pancakes,\ne2205,2011/05/26,lunch,sandwich,Benjamin\ne2206,2011/05/26,dinner,steak,\ne2210,2011/05/27,breakfast,peanut-butter-jam,\ne2214,2011/05/28,breakfast,cereals,\ne2215,2011/05/28,lunch,fish and chips,\"Andrew, Carter, Kayden, Emily\"\ne2216,2011/05/28,dinner,sushi,\"Kayden, Emily\"\ne2222,2011/05/30,lunch,pasta,\ne2224,2011/05/31,lunch,a burger,\ne2225,2011/05/31,dinner,steak,\ne2229,2011/06/01,lunch,tacos,\ne2233,2011/06/02,breakfast,pancakes,\ne2237,2011/06/03,breakfast,cereals,\ne2238,2011/06/03,lunch,tacos,\ne2243,2011/06/04,breakfast,oatmeal,\ne2244,2011/06/04,dinner,fish and chips,\ne2248,2011/06/05,breakfast,toast and cheese,\ne2249,2011/06/05,dinner,sandwich,\ne2251,2011/06/06,breakfast,toast and cheese,\ne2254,2011/06/07,breakfast,cereals,\ne2257,2011/06/08,lunch,fish and chips,\ne2258,2011/06/08,dinner,sushi,\ne2263,2011/06/09,breakfast,oatmeal,\"Carter, Emily, Kayden\"\ne2265,2011/06/10,breakfast,\"eggs, sausages, and bread\",\ne2266,2011/06/10,dinner,pasta,\ne2268,2011/06/11,breakfast,toast and cheese,\ne2275,2011/06/13,dinner,a burger,\ne2277,2011/06/14,lunch,a burger,\ne2278,2011/06/14,dinner,tacos,\ne2283,2011/06/15,breakfast,toast and cheese,\ne2284,2011/06/15,lunch,chinese food,\ne2285,2011/06/15,dinner,indian food,\"Carter, Emily, Andrew, Kayden\"\ne2293,2011/06/17,breakfast,pancakes,\ne2294,2011/06/17,lunch,chinese food,\"Piper, Hazel, Olivia\"\ne2298,2011/06/18,breakfast,peanut-butter-jam,\ne2299,2011/06/18,dinner,sandwich,\"Jackson, Avery\"\ne2307,2011/06/20,breakfast,oatmeal,\"Eva, Rylee, Piper, Hazel, Piper, Nora, Olivia, Kinsley\"\ne2308,2011/06/20,dinner,steak,\"Claire, Piper, Eva, Rylee, Lydia, Olivia, Nevaeh, Hazel, Piper, Kinsley, Nora, Avery\"\ne2310,2011/06/21,dinner,a burger,Carter\ne2316,2011/06/22,lunch,pasta,\"Jackson, Avery\"\ne2317,2011/06/22,dinner,fish and chips,\ne2320,2011/06/23,dinner,chinese food,\ne2323,2011/06/24,breakfast,peanut-butter-jam,\"Carter, Kayden, Andrew\"\ne2327,2011/06/25,lunch,steak,\ne2328,2011/06/26,lunch,pasta,\"Kinsley, Eva, Nora\"\ne2332,2011/06/27,breakfast,toast and cheese,\ne2333,2011/06/27,lunch,steak,\ne2334,2011/06/27,dinner,tacos,\ne2336,2011/06/28,lunch,a burger,\"Layla, Claire, Piper, Olivia, Avery, Eva, Hazel, Nevaeh, Rylee, Kinsley\"\ne2340,2011/06/29,lunch,fish and chips,\ne2344,2011/06/30,breakfast,\"eggs, sausages, and bread\",\ne2345,2011/06/30,lunch,tacos,\"Piper, Hazel, Layla, Rylee\"\ne2349,2011/07/01,lunch,pasta,\"Kayden, Andrew\"\ne2350,2011/07/01,dinner,pasta,\"Willow, Benjamin, Jackson, Avery\"\ne2353,2011/07/02,breakfast,toast and cheese,\ne2354,2011/07/02,lunch,steak,Nora\ne2355,2011/07/02,dinner,indian food,\"Andrew, Emily, Kayden\"\ne2364,2011/07/05,breakfast,peanut-butter-jam,\ne2365,2011/07/05,lunch,sandwich,\"Kayden, Carter, Andrew, Emily\"\ne2366,2011/07/05,dinner,tacos,\ne2370,2011/07/06,breakfast,oatmeal,\"Emily, Kayden, Andrew, Carter\"\ne2371,2011/07/06,lunch,indian food,\ne2374,2011/07/07,breakfast,cereals,\ne2379,2011/07/09,lunch,chinese food,\ne2383,2011/07/10,breakfast,peanut-butter-jam,\"Carter, Andrew\"\ne2384,2011/07/10,lunch,chinese food,\ne2387,2011/07/11,breakfast,\"eggs, sausages, and bread\",\ne2390,2011/07/12,breakfast,toast and cheese,Nevaeh\ne2391,2011/07/12,lunch,a burger,\"Andrew, Carter, Kayden\"\ne2395,2011/07/13,dinner,a burger,\ne2397,2011/07/14,breakfast,oatmeal,\ne2398,2011/07/14,lunch,chinese food,\"Jackson, Benjamin, Avery, Willow\"\ne2404,2011/07/16,lunch,fish and chips,\"Avery, Layla, Claire\"\ne2407,2011/07/17,breakfast,toast and cheese,\"Nora, Hazel, Kinsley, Eva, Claire, Nevaeh, Piper\"\ne2408,2011/07/17,dinner,chinese food,\"Emily, Carter, Kayden\"\ne2411,2011/07/18,lunch,sushi,\ne2419,2011/07/20,breakfast,pancakes,\ne2420,2011/07/20,lunch,pasta,\ne2424,2011/07/21,dinner,steak,\"Avery, Jackson, Willow\"\ne2428,2011/07/22,breakfast,toast and cheese,\ne2429,2011/07/22,dinner,fish and chips,Emily\ne2434,2011/07/23,breakfast,pancakes,\"Kayden, Carter\"\ne2435,2011/07/23,lunch,chinese food,Carter\ne2436,2011/07/23,dinner,indian food,\ne2438,2011/07/24,breakfast,peanut-butter-jam,\ne2439,2011/07/24,lunch,tacos,\"Hazel, Rylee\"\ne2445,2011/07/25,breakfast,oatmeal,\ne2446,2011/07/25,lunch,sandwich,\"Benjamin, Avery, Willow, Jackson\"\ne2447,2011/07/25,dinner,pasta,\ne2451,2011/07/26,breakfast,oatmeal,\ne2452,2011/07/26,dinner,fish and chips,\"Nora, Hazel, Lydia, Claire, Eva, Rylee, Avery, Nevaeh\"\ne2454,2011/07/27,dinner,sushi,\"Andrew, Kayden\"\ne2457,2011/07/28,lunch,a burger,\"Andrew, Kayden, Carter\"\ne2458,2011/07/28,dinner,chinese food,\"Kayden, Emily, Andrew\"\ne2462,2011/07/29,breakfast,\"eggs, sausages, and bread\",\ne2463,2011/07/29,lunch,chinese food,\ne2464,2011/07/29,dinner,fish and chips,\ne2466,2011/07/30,lunch,steak,\ne2467,2011/07/30,dinner,fish and chips,\ne2472,2011/07/31,lunch,sandwich,\"Olivia, Rylee, Nora, Eva, Piper, Lydia\"\ne2475,2011/08/01,breakfast,peanut-butter-jam,\ne2476,2011/08/01,lunch,pasta,\ne2479,2011/08/02,lunch,pasta,\"Jackson, Avery, Benjamin, Willow\"\ne2483,2011/08/03,lunch,indian food,\ne2486,2011/08/04,breakfast,toast and cheese,\ne2487,2011/08/04,lunch,pasta,\ne2488,2011/08/04,dinner,fish and chips,\"Avery, Jackson, Willow, Benjamin\"\ne2490,2011/08/05,dinner,sushi,\"Kayden, Carter, Emily\"\ne2494,2011/08/06,breakfast,peanut-butter-jam,\ne2495,2011/08/06,dinner,fish and chips,\ne2498,2011/08/07,lunch,chinese food,\ne2499,2011/08/07,dinner,sushi,\ne2503,2011/08/08,lunch,tacos,\"Willow, Jackson\"\ne2504,2011/08/08,dinner,pasta,\"Nora, Eva, Claire, Rylee, Lydia, Piper, Olivia, Avery, Hazel, Piper, Layla\"\ne2506,2011/08/09,breakfast,toast and cheese,\ne2507,2011/08/09,dinner,a burger,\ne2509,2011/08/10,breakfast,\"eggs, sausages, and bread\",\ne2510,2011/08/10,dinner,steak,\"Carter, Kayden, Emily, Andrew\"\ne2514,2011/08/11,dinner,a burger,\ne2520,2011/08/12,lunch,steak,\ne2524,2011/08/13,breakfast,\"eggs, sausages, and bread\",\ne2526,2011/08/14,breakfast,peanut-butter-jam,\ne2529,2011/08/15,lunch,chinese food,Kayden\ne2530,2011/08/15,dinner,steak,\"Carter, Kayden\"\ne2532,2011/08/16,dinner,sandwich,\"Avery, Jackson\"\ne2536,2011/08/17,lunch,a burger,\ne2537,2011/08/17,dinner,indian food,\ne2538,2011/08/18,dinner,pasta,Kayden\ne2542,2011/08/19,dinner,pasta,\"Hazel, Claire, Lydia, Piper\"\ne2543,2011/08/20,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew, Kayden, Emily\"\ne2544,2011/08/20,lunch,tacos,Carter\ne2545,2011/08/20,dinner,sandwich,\"Nora, Lydia, Nevaeh, Avery, Layla, Hazel, Eva, Piper, Piper, Rylee\"\ne2548,2011/08/21,breakfast,cereals,\ne2549,2011/08/21,dinner,steak,\"Nora, Olivia, Claire, Rylee, Kinsley, Piper, Nevaeh, Lydia, Hazel, Layla, Avery, Piper\"\ne2553,2011/08/22,breakfast,oatmeal,\"Olivia, Nora, Piper, Layla, Claire, Lydia, Hazel\"\ne2556,2011/08/23,breakfast,peanut-butter-jam,\ne2557,2011/08/23,lunch,fish and chips,\ne2559,2011/08/24,breakfast,toast and cheese,\ne2563,2011/08/25,breakfast,toast and cheese,\ne2564,2011/08/25,dinner,fish and chips,\"Andrew, Emily, Carter, Kayden\"\ne2566,2011/08/26,lunch,steak,\ne2567,2011/08/26,dinner,tacos,\ne2571,2011/08/27,breakfast,oatmeal,\ne2572,2011/08/27,lunch,chinese food,Kayden\ne2573,2011/08/27,dinner,sushi,\"Rylee, Piper, Lydia, Hazel, Layla, Olivia\"\ne2578,2011/08/29,dinner,fish and chips,Andrew\ne2581,2011/08/30,breakfast,toast and cheese,\ne2582,2011/08/30,lunch,fish and chips,\"Willow, Avery, Benjamin\"\ne2583,2011/08/30,dinner,chinese food,\"Willow, Benjamin, Jackson\"\ne2587,2011/08/31,lunch,indian food,Andrew\ne2591,2011/09/01,breakfast,peanut-butter-jam,\ne2595,2011/09/02,lunch,fish and chips,Jackson\ne2597,2011/09/03,breakfast,\"eggs, sausages, and bread\",\ne2598,2011/09/03,lunch,a burger,\ne2599,2011/09/03,dinner,tacos,Andrew\ne2603,2011/09/04,dinner,tacos,\"Emily, Kayden, Andrew, Carter\"\ne2606,2011/09/05,lunch,a burger,\ne2607,2011/09/05,dinner,steak,\ne2612,2011/09/07,breakfast,toast and cheese,\ne2613,2011/09/07,lunch,steak,Layla\ne2614,2011/09/07,dinner,pasta,\ne2616,2011/09/08,breakfast,peanut-butter-jam,\"Emily, Andrew, Kayden, Carter\"\ne2619,2011/09/09,breakfast,pancakes,\ne2620,2011/09/09,lunch,sandwich,\ne2621,2011/09/09,dinner,sushi,Benjamin\ne2626,2011/09/10,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden, Andrew\"\ne2627,2011/09/10,lunch,chinese food,\"Avery, Benjamin, Jackson\"\ne2628,2011/09/10,dinner,fish and chips,\ne2631,2011/09/11,breakfast,cereals,\ne2632,2011/09/11,lunch,sushi,\ne2633,2011/09/11,dinner,indian food,\"Jackson, Benjamin, Avery, Willow\"\ne2640,2011/09/13,lunch,pasta,\ne2641,2011/09/13,dinner,steak,\ne2643,2011/09/14,breakfast,\"eggs, sausages, and bread\",Andrew\ne2644,2011/09/14,lunch,sushi,\ne2645,2011/09/14,dinner,tacos,\"Andrew, Kayden, Carter, Emily\"\ne2649,2011/09/15,lunch,sushi,\ne2652,2011/09/16,lunch,sushi,\ne2656,2011/09/17,dinner,pasta,\ne2659,2011/09/18,lunch,a burger,\ne2660,2011/09/18,dinner,indian food,\"Jackson, Willow, Avery, Benjamin\"\ne2663,2011/09/19,breakfast,toast and cheese,Emily\ne2664,2011/09/20,lunch,chinese food,\ne2665,2011/09/20,dinner,indian food,\"Nevaeh, Olivia, Eva, Nora\"\ne2669,2011/09/21,breakfast,\"eggs, sausages, and bread\",\ne2672,2011/09/22,lunch,tacos,\"Kinsley, Layla, Piper\"\ne2676,2011/09/23,breakfast,peanut-butter-jam,\"Kinsley, Claire, Piper, Rylee, Avery, Nevaeh, Piper, Lydia, Layla, Olivia, Eva, Nora\"\ne2680,2011/09/24,breakfast,pancakes,\ne2681,2011/09/24,lunch,sushi,\ne2682,2011/09/24,dinner,pasta,\ne2685,2011/09/25,breakfast,cereals,\ne2686,2011/09/25,lunch,pasta,\ne2690,2011/09/26,breakfast,oatmeal,\ne2691,2011/09/26,lunch,a burger,\ne2692,2011/09/26,dinner,indian food,\ne2695,2011/09/27,breakfast,cereals,\ne2696,2011/09/27,lunch,indian food,\ne2699,2011/09/28,dinner,a burger,\"Kayden, Andrew\"\ne2702,2011/09/29,breakfast,toast and cheese,\ne2703,2011/09/29,dinner,steak,\ne2705,2011/09/30,breakfast,peanut-butter-jam,\"Avery, Willow, Jackson, Benjamin\"\ne2706,2011/09/30,lunch,steak,\ne2712,2011/10/02,breakfast,toast and cheese,\ne2713,2011/10/02,dinner,steak,Kayden\ne2716,2011/10/03,lunch,tacos,\ne2720,2011/10/04,breakfast,peanut-butter-jam,\"Piper, Piper, Claire, Eva, Layla, Nora, Rylee\"\ne2721,2011/10/04,lunch,indian food,\"Avery, Layla, Claire, Lydia, Kinsley, Rylee, Piper, Piper, Eva, Nevaeh, Olivia, Hazel, Nora\"\ne2723,2011/10/05,breakfast,\"eggs, sausages, and bread\",\ne2724,2011/10/05,lunch,sushi,\"Jackson, Benjamin\"\ne2725,2011/10/05,dinner,a burger,Carter\ne2728,2011/10/06,lunch,indian food,\"Andrew, Kayden\"\ne2729,2011/10/06,dinner,sandwich,\"Andrew, Kayden, Carter, Emily\"\ne2732,2011/10/07,breakfast,peanut-butter-jam,\ne2733,2011/10/07,lunch,indian food,\"Willow, Jackson\"\ne2734,2011/10/07,dinner,chinese food,\ne2738,2011/10/08,breakfast,\"eggs, sausages, and bread\",\ne2742,2011/10/09,dinner,indian food,\ne2746,2011/10/10,lunch,indian food,\ne2749,2011/10/11,lunch,fish and chips,\"Andrew, Carter, Emily, Kayden\"\ne2750,2011/10/11,dinner,sushi,\"Andrew, Emily, Carter, Kayden\"\ne2753,2011/10/12,lunch,tacos,\ne2754,2011/10/13,breakfast,toast and cheese,\ne2755,2011/10/13,dinner,tacos,\"Kayden, Carter, Andrew\"\ne2758,2011/10/14,breakfast,pancakes,\ne2759,2011/10/14,dinner,indian food,\"Claire, Rylee, Nevaeh, Hazel, Kinsley, Piper\"\ne2762,2011/10/15,lunch,sandwich,\ne2765,2011/10/16,breakfast,oatmeal,\"Emily, Andrew\"\ne2766,2011/10/16,lunch,pasta,\ne2771,2011/10/18,breakfast,peanut-butter-jam,\ne2772,2011/10/18,lunch,sushi,\ne2773,2011/10/18,dinner,indian food,\"Piper, Avery, Layla, Claire, Olivia\"\ne2778,2011/10/19,lunch,sushi,\ne2782,2011/10/20,breakfast,cereals,\"Andrew, Carter, Kayden, Emily\"\ne2785,2011/10/21,lunch,a burger,\ne2788,2011/10/23,dinner,sandwich,\ne2791,2011/10/24,breakfast,pancakes,\ne2794,2011/10/25,dinner,indian food,\"Andrew, Emily, Carter\"\ne2795,2011/10/26,lunch,sandwich,\ne2799,2011/10/27,breakfast,toast and cheese,\ne2800,2011/10/27,lunch,pasta,\ne2803,2011/10/28,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew, Emily, Kayden\"\ne2804,2011/10/28,lunch,sandwich,\ne2808,2011/10/29,lunch,chinese food,\"Carter, Emily, Andrew, Kayden\"\ne2809,2011/10/29,dinner,chinese food,\ne2813,2011/10/30,breakfast,toast and cheese,\ne2814,2011/10/30,lunch,pasta,\ne2816,2011/10/31,breakfast,cereals,\ne2817,2011/10/31,dinner,sandwich,\"Emily, Kayden\"\ne2822,2011/11/01,breakfast,\"eggs, sausages, and bread\",\"Nevaeh, Piper, Avery, Nora, Kinsley, Olivia, Layla, Rylee, Piper, Lydia\"\ne2823,2011/11/01,lunch,a burger,\ne2824,2011/11/01,dinner,sushi,\ne2827,2011/11/02,lunch,fish and chips,\"Olivia, Nora, Piper, Eva, Kinsley, Rylee, Claire, Nevaeh, Layla, Avery\"\ne2828,2011/11/02,dinner,indian food,\ne2830,2011/11/03,lunch,tacos,\ne2831,2011/11/03,dinner,a burger,\ne2837,2011/11/04,lunch,a burger,Carter\ne2839,2011/11/05,breakfast,oatmeal,\"Eva, Kinsley, Layla\"\ne2840,2011/11/05,lunch,indian food,\"Benjamin, Willow\"\ne2841,2011/11/05,dinner,indian food,\ne2843,2011/11/06,lunch,pasta,Layla\ne2844,2011/11/06,dinner,steak,\ne2846,2011/11/07,dinner,chinese food,\ne2850,2011/11/08,dinner,fish and chips,\ne2856,2011/11/09,breakfast,cereals,\"Kayden, Andrew, Carter, Emily\"\ne2859,2011/11/10,breakfast,oatmeal,\ne2860,2011/11/10,dinner,tacos,\ne2864,2011/11/11,breakfast,cereals,\ne2868,2011/11/12,dinner,indian food,\"Piper, Olivia\"\ne2871,2011/11/13,breakfast,cereals,\ne2872,2011/11/13,lunch,pasta,Avery\ne2873,2011/11/13,dinner,indian food,\"Emily, Andrew, Carter\"\ne2876,2011/11/14,lunch,a burger,\"Andrew, Kayden, Carter, Emily\"\ne2877,2011/11/14,dinner,a burger,\ne2881,2011/11/15,dinner,steak,\ne2889,2011/11/18,lunch,indian food,\ne2890,2011/11/18,dinner,a burger,\"Piper, Olivia, Hazel, Nevaeh, Lydia, Rylee, Piper, Claire, Eva, Avery, Nora, Kinsley, Layla\"\ne2895,2011/11/20,breakfast,cereals,\ne2896,2011/11/21,breakfast,\"eggs, sausages, and bread\",\ne2897,2011/11/21,lunch,steak,\ne2898,2011/11/21,dinner,pasta,\"Carter, Kayden, Andrew\"\ne2901,2011/11/22,breakfast,peanut-butter-jam,\"Jackson, Avery, Willow\"\ne2903,2011/11/23,dinner,pasta,\ne2906,2011/11/24,dinner,fish and chips,\"Hazel, Eva, Piper, Olivia, Kinsley, Avery, Claire, Nevaeh, Piper, Rylee, Nora\"\ne2912,2011/11/26,dinner,fish and chips,\ne2918,2011/11/28,breakfast,\"eggs, sausages, and bread\",\"Piper, Piper, Hazel, Lydia\"\ne2922,2011/11/29,breakfast,cereals,\ne2929,2011/12/01,breakfast,oatmeal,\ne2933,2011/12/02,breakfast,oatmeal,Andrew\ne2934,2011/12/02,lunch,a burger,\ne2938,2011/12/03,breakfast,peanut-butter-jam,\ne2939,2011/12/03,dinner,fish and chips,\ne2942,2011/12/04,breakfast,peanut-butter-jam,Andrew\ne2943,2011/12/04,lunch,pasta,\ne2946,2011/12/06,lunch,fish and chips,Carter\ne2947,2011/12/06,dinner,fish and chips,\ne2957,2011/12/09,lunch,fish and chips,\ne2962,2011/12/10,breakfast,peanut-butter-jam,\ne2965,2011/12/11,breakfast,pancakes,\ne2967,2011/12/12,breakfast,pancakes,\ne2968,2011/12/12,lunch,fish and chips,\"Nevaeh, Avery\"\ne2969,2011/12/12,dinner,sushi,\ne2972,2011/12/13,dinner,chinese food,\ne2975,2011/12/14,breakfast,oatmeal,\ne2979,2011/12/15,lunch,pasta,\"Kayden, Carter, Emily, Andrew\"\ne2984,2011/12/16,breakfast,\"eggs, sausages, and bread\",Andrew\ne2988,2011/12/17,breakfast,\"eggs, sausages, and bread\",\ne2989,2011/12/17,lunch,tacos,\ne2990,2011/12/17,dinner,sandwich,Benjamin\ne2995,2011/12/18,breakfast,cereals,\ne2999,2011/12/19,breakfast,peanut-butter-jam,\ne3000,2011/12/19,lunch,a burger,\ne3002,2011/12/20,breakfast,peanut-butter-jam,\"Emily, Carter, Andrew, Kayden\"\ne3003,2011/12/20,lunch,fish and chips,\"Lydia, Olivia, Eva, Kinsley, Rylee, Avery, Nevaeh, Claire, Piper, Layla, Nora, Piper\"\ne3006,2011/12/21,breakfast,peanut-butter-jam,\ne3007,2011/12/21,lunch,a burger,\ne3008,2011/12/21,dinner,a burger,\ne3012,2011/12/22,dinner,sandwich,Avery\ne3015,2011/12/23,lunch,steak,\ne3018,2011/12/24,breakfast,pancakes,\ne3023,2011/12/25,breakfast,oatmeal,\ne3024,2011/12/25,lunch,fish and chips,\"Emily, Kayden, Carter, Andrew\"\ne3028,2011/12/26,dinner,tacos,\ne3031,2011/12/27,lunch,sushi,\ne3032,2011/12/27,dinner,pasta,\ne3036,2011/12/29,breakfast,pancakes,\"Willow, Avery, Jackson\"\ne3038,2011/12/30,breakfast,oatmeal,\"Nevaeh, Nora, Eva, Avery, Piper\"\ne3039,2011/12/30,lunch,pasta,\ne3040,2011/12/30,dinner,tacos,\"Andrew, Kayden, Emily\"\ne3043,2011/12/31,breakfast,pancakes,\ne3177,2012/01/01,lunch,steak,\"Claire, Piper, Layla, Hazel, Piper, Eva\"\ne3180,2012/01/03,lunch,a burger,\ne3181,2012/01/03,dinner,indian food,\ne3184,2012/01/04,breakfast,oatmeal,\ne3185,2012/01/04,lunch,sushi,\ne3186,2012/01/04,dinner,pasta,\ne3187,2012/01/05,breakfast,pancakes,\ne3188,2012/01/05,dinner,steak,\ne3190,2012/01/06,breakfast,peanut-butter-jam,\"Nora, Piper, Avery, Eva, Rylee, Lydia, Kinsley\"\ne3191,2012/01/06,lunch,steak,\ne3192,2012/01/06,dinner,chinese food,\"Piper, Rylee, Nora\"\ne3196,2012/01/07,breakfast,peanut-butter-jam,\"Lydia, Kinsley, Rylee, Hazel, Eva, Piper, Nevaeh, Avery, Nora, Claire, Olivia, Layla\"\ne3197,2012/01/07,lunch,fish and chips,\"Avery, Jackson\"\ne3198,2012/01/07,dinner,steak,Emily\ne3203,2012/01/09,dinner,sandwich,\"Andrew, Kayden, Carter, Emily\"\ne3207,2012/01/10,breakfast,\"eggs, sausages, and bread\",\ne3208,2012/01/10,lunch,a burger,\ne3209,2012/01/11,lunch,fish and chips,\ne3210,2012/01/11,dinner,fish and chips,\"Nevaeh, Rylee, Layla, Eva, Olivia, Lydia, Avery, Hazel, Piper\"\ne3215,2012/01/12,breakfast,toast and cheese,\"Carter, Emily, Kayden\"\ne3216,2012/01/12,dinner,chinese food,\ne3218,2012/01/13,breakfast,pancakes,\ne3219,2012/01/13,dinner,sandwich,\"Emily, Kayden, Andrew\"\ne3222,2012/01/14,breakfast,peanut-butter-jam,\"Hazel, Nora, Claire, Piper, Rylee, Kinsley, Piper, Lydia, Eva, Nevaeh, Olivia\"\ne3223,2012/01/14,lunch,steak,\ne3224,2012/01/14,dinner,pasta,\ne3226,2012/01/15,dinner,sushi,\ne3229,2012/01/16,lunch,fish and chips,\"Avery, Willow\"\ne3235,2012/01/18,breakfast,\"eggs, sausages, and bread\",\"Avery, Jackson, Willow\"\ne3236,2012/01/18,lunch,sandwich,\ne3238,2012/01/19,dinner,tacos,\ne3240,2012/01/20,breakfast,toast and cheese,\"Claire, Nevaeh\"\ne3243,2012/01/21,breakfast,toast and cheese,\ne3244,2012/01/21,dinner,chinese food,\"Andrew, Carter, Emily\"\ne3248,2012/01/22,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden, Carter, Emily\"\ne3249,2012/01/22,lunch,a burger,\ne3255,2012/01/24,breakfast,oatmeal,\"Layla, Nora, Rylee, Piper, Kinsley, Eva, Lydia, Avery, Hazel, Olivia\"\ne3256,2012/01/24,dinner,indian food,Avery\ne3259,2012/01/25,dinner,fish and chips,\ne3262,2012/01/26,breakfast,\"eggs, sausages, and bread\",\ne3263,2012/01/26,lunch,sushi,\ne3264,2012/01/26,dinner,tacos,\ne3269,2012/01/28,lunch,chinese food,\ne3271,2012/01/29,lunch,steak,\ne3272,2012/01/29,dinner,pasta,\"Kayden, Carter, Emily\"\ne3274,2012/01/30,dinner,steak,\ne3278,2012/01/31,breakfast,pancakes,\ne3279,2012/01/31,lunch,pasta,\"Kayden, Andrew\"\ne3281,2012/02/01,breakfast,oatmeal,\ne3282,2012/02/01,dinner,steak,\ne3287,2012/02/02,dinner,sushi,\ne3291,2012/02/03,breakfast,toast and cheese,\"Nora, Avery, Lydia, Nevaeh, Kinsley, Eva, Hazel, Piper\"\ne3292,2012/02/03,lunch,indian food,\"Emily, Andrew\"\ne3293,2012/02/03,dinner,sushi,\ne3298,2012/02/04,lunch,a burger,\ne3299,2012/02/04,dinner,chinese food,\ne3303,2012/02/05,lunch,steak,\"Benjamin, Jackson\"\ne3306,2012/02/06,lunch,tacos,\"Emily, Carter\"\ne3307,2012/02/06,dinner,sushi,\"Emily, Carter\"\ne3311,2012/02/07,breakfast,cereals,\ne3312,2012/02/07,lunch,steak,Emily\ne3314,2012/02/08,lunch,tacos,\"Carter, Andrew\"\ne3315,2012/02/08,dinner,sushi,\ne3320,2012/02/09,lunch,sandwich,\"Andrew, Emily\"\ne3321,2012/02/09,dinner,tacos,\ne3324,2012/02/10,breakfast,toast and cheese,\ne3329,2012/02/11,breakfast,cereals,\"Nora, Eva, Piper, Kinsley, Piper, Layla, Rylee, Nevaeh\"\ne3331,2012/02/12,lunch,steak,\"Carter, Andrew, Emily\"\ne3339,2012/02/15,breakfast,\"eggs, sausages, and bread\",\ne3340,2012/02/15,dinner,a burger,\ne3344,2012/02/16,breakfast,oatmeal,\ne3345,2012/02/16,dinner,sushi,\ne3348,2012/02/17,lunch,sandwich,\ne3351,2012/02/18,lunch,chinese food,\ne3352,2012/02/18,dinner,a burger,\"Lydia, Olivia\"\ne3356,2012/02/19,breakfast,\"eggs, sausages, and bread\",\ne3357,2012/02/19,lunch,tacos,\ne3361,2012/02/20,breakfast,cereals,\ne3362,2012/02/20,dinner,indian food,\ne3366,2012/02/21,breakfast,pancakes,\ne3367,2012/02/21,lunch,indian food,\ne3371,2012/02/22,breakfast,peanut-butter-jam,\ne3374,2012/02/23,lunch,steak,\"Piper, Layla, Piper, Lydia, Nevaeh, Eva, Rylee, Olivia, Nora, Kinsley\"\ne3375,2012/02/23,dinner,indian food,\ne3378,2012/02/24,lunch,sandwich,\ne3379,2012/02/24,dinner,a burger,\"Avery, Benjamin, Willow, Jackson\"\ne3383,2012/02/25,breakfast,oatmeal,\ne3384,2012/02/25,lunch,a burger,\"Emily, Andrew, Kayden, Carter\"\ne3387,2012/02/26,lunch,indian food,\ne3390,2012/02/27,breakfast,pancakes,\ne3391,2012/02/27,lunch,pasta,Carter\ne3392,2012/02/27,dinner,fish and chips,\ne3394,2012/02/28,breakfast,oatmeal,\ne3397,2012/02/29,breakfast,toast and cheese,\"Carter, Andrew, Kayden, Emily\"\ne3398,2012/02/29,lunch,pasta,\ne3399,2012/02/29,dinner,pasta,\"Benjamin, Willow\"\ne3404,2012/03/01,breakfast,cereals,Avery\ne3405,2012/03/01,lunch,sushi,\"Layla, Nora\"\ne3407,2012/03/02,breakfast,toast and cheese,\ne3408,2012/03/02,dinner,a burger,\"Benjamin, Jackson, Willow\"\ne3412,2012/03/03,breakfast,toast and cheese,\"Nevaeh, Nora, Rylee, Lydia, Kinsley, Layla\"\ne3416,2012/03/04,breakfast,toast and cheese,\ne3417,2012/03/04,dinner,fish and chips,\ne3420,2012/03/05,dinner,fish and chips,\ne3422,2012/03/06,lunch,sushi,\"Emily, Carter, Kayden, Andrew\"\ne3423,2012/03/06,dinner,pasta,\ne3428,2012/03/07,lunch,tacos,\ne3429,2012/03/07,dinner,sushi,\ne3430,2012/03/08,breakfast,\"eggs, sausages, and bread\",Carter\ne3431,2012/03/08,lunch,indian food,Willow\ne3435,2012/03/09,breakfast,cereals,\ne3436,2012/03/09,lunch,fish and chips,\"Layla, Avery, Lydia, Nora, Piper, Hazel, Nevaeh, Olivia, Kinsley, Eva, Claire, Piper\"\ne3439,2012/03/10,dinner,fish and chips,\"Andrew, Carter\"\ne3442,2012/03/11,lunch,indian food,\"Andrew, Kayden, Emily, Carter\"\ne3443,2012/03/11,dinner,chinese food,\ne3446,2012/03/12,breakfast,peanut-butter-jam,Kayden\ne3452,2012/03/13,lunch,indian food,\ne3453,2012/03/13,dinner,a burger,\ne3455,2012/03/14,breakfast,oatmeal,\"Kayden, Andrew, Emily\"\ne3456,2012/03/14,lunch,chinese food,\"Emily, Carter, Kayden\"\ne3457,2012/03/14,dinner,indian food,\ne3461,2012/03/15,breakfast,oatmeal,\ne3462,2012/03/15,dinner,sandwich,Emily\ne3465,2012/03/16,breakfast,cereals,\ne3466,2012/03/16,dinner,sushi,\ne3469,2012/03/17,breakfast,pancakes,\ne3470,2012/03/17,lunch,sandwich,\"Rylee, Nevaeh, Layla, Avery, Eva, Hazel, Claire, Piper, Piper, Olivia, Lydia, Nora, Kinsley\"\ne3471,2012/03/17,dinner,indian food,\ne3473,2012/03/18,lunch,indian food,\"Andrew, Kayden, Emily, Carter\"\ne3474,2012/03/18,dinner,tacos,\"Piper, Claire, Rylee, Piper\"\ne3477,2012/03/19,breakfast,\"eggs, sausages, and bread\",\"Avery, Willow, Jackson\"\ne3478,2012/03/19,lunch,fish and chips,\ne3480,2012/03/20,lunch,indian food,\ne3484,2012/03/21,lunch,steak,\ne3485,2012/03/21,dinner,chinese food,\ne3487,2012/03/22,lunch,fish and chips,\ne3490,2012/03/23,breakfast,cereals,\"Emily, Andrew\"\ne3495,2012/03/25,breakfast,\"eggs, sausages, and bread\",\ne3496,2012/03/25,dinner,sandwich,\"Nora, Eva, Kinsley, Piper, Nevaeh, Layla, Hazel, Piper, Avery, Rylee\"\ne3499,2012/03/26,breakfast,\"eggs, sausages, and bread\",Carter\ne3500,2012/03/26,dinner,sushi,\"Carter, Andrew, Kayden, Emily\"\ne3502,2012/03/27,lunch,sushi,\"Carter, Emily, Kayden\"\ne3506,2012/03/28,breakfast,\"eggs, sausages, and bread\",\ne3507,2012/03/28,dinner,sushi,\ne3510,2012/03/29,breakfast,cereals,\ne3511,2012/03/29,lunch,sushi,\ne3516,2012/03/30,dinner,fish and chips,\ne3520,2012/04/01,breakfast,oatmeal,\ne3521,2012/04/01,dinner,a burger,\ne3523,2012/04/02,breakfast,pancakes,\"Jackson, Benjamin, Avery, Willow\"\ne3525,2012/04/03,dinner,sandwich,\ne3528,2012/04/04,lunch,sushi,\"Carter, Emily\"\ne3529,2012/04/04,dinner,pasta,\"Eva, Lydia, Avery, Piper, Nevaeh, Kinsley, Rylee, Hazel, Claire, Nora, Layla, Olivia, Piper\"\ne3532,2012/04/05,breakfast,pancakes,\ne3533,2012/04/05,dinner,tacos,\"Carter, Emily, Kayden, Andrew\"\ne3535,2012/04/06,dinner,sushi,\ne3538,2012/04/07,breakfast,oatmeal,Andrew\ne3539,2012/04/07,dinner,a burger,\"Avery, Nevaeh, Layla, Kinsley, Rylee, Piper, Olivia\"\ne3541,2012/04/08,breakfast,peanut-butter-jam,\"Avery, Rylee, Hazel, Piper, Layla\"\ne3542,2012/04/08,lunch,a burger,\ne3543,2012/04/08,dinner,pasta,\ne3548,2012/04/09,breakfast,peanut-butter-jam,\ne3549,2012/04/09,lunch,fish and chips,\"Kayden, Emily\"\ne3551,2012/04/10,dinner,pasta,\ne3556,2012/04/11,breakfast,pancakes,\ne3557,2012/04/11,lunch,tacos,\"Carter, Kayden, Andrew\"\ne3558,2012/04/12,breakfast,toast and cheese,\ne3559,2012/04/12,lunch,fish and chips,\ne3564,2012/04/13,lunch,sushi,\"Kayden, Carter, Emily, Andrew\"\ne3565,2012/04/13,dinner,tacos,\ne3568,2012/04/14,lunch,sandwich,\"Kinsley, Avery, Eva, Nora, Layla, Piper, Claire, Piper, Olivia, Nevaeh, Lydia, Hazel, Rylee\"\ne3569,2012/04/14,dinner,fish and chips,\"Avery, Jackson\"\ne3572,2012/04/15,dinner,pasta,\"Olivia, Nora, Piper, Lydia, Claire\"\ne3574,2012/04/16,breakfast,oatmeal,\ne3575,2012/04/16,dinner,sushi,\ne3578,2012/04/17,lunch,steak,\ne3579,2012/04/17,dinner,tacos,\"Piper, Nora, Layla, Eva, Piper, Rylee, Hazel, Kinsley\"\ne3584,2012/04/18,lunch,chinese food,\"Emily, Kayden, Andrew, Carter\"\ne3585,2012/04/18,dinner,a burger,Carter\ne3587,2012/04/19,lunch,sushi,\ne3588,2012/04/19,dinner,fish and chips,\"Emily, Kayden, Andrew, Carter\"\ne3592,2012/04/20,breakfast,peanut-butter-jam,Eva\ne3593,2012/04/20,lunch,tacos,\"Nevaeh, Eva, Olivia, Rylee, Nora, Lydia, Avery\"\ne3594,2012/04/20,dinner,steak,Andrew\ne3596,2012/04/21,dinner,chinese food,\ne3600,2012/04/22,breakfast,pancakes,\ne3604,2012/04/24,breakfast,\"eggs, sausages, and bread\",\ne3605,2012/04/24,lunch,sandwich,\ne3606,2012/04/24,dinner,pasta,\ne3609,2012/04/25,breakfast,oatmeal,\ne3610,2012/04/25,lunch,sushi,\ne3611,2012/04/25,dinner,chinese food,Carter\ne3614,2012/04/26,lunch,chinese food,\"Kinsley, Piper, Claire, Lydia\"\ne3618,2012/04/27,breakfast,toast and cheese,\ne3619,2012/04/27,dinner,steak,\"Rylee, Piper, Kinsley, Avery, Lydia, Eva, Layla, Claire, Nora\"\ne3621,2012/04/28,lunch,tacos,\ne3626,2012/04/29,lunch,sandwich,\ne3631,2012/05/01,breakfast,pancakes,\ne3632,2012/05/01,lunch,a burger,\"Carter, Emily, Andrew, Kayden\"\ne3635,2012/05/02,dinner,sandwich,\ne3637,2012/05/03,breakfast,\"eggs, sausages, and bread\",\"Emily, Andrew, Kayden, Carter\"\ne3638,2012/05/03,lunch,indian food,\ne3642,2012/05/04,lunch,pasta,Emily\ne3644,2012/05/05,breakfast,cereals,\"Carter, Kayden, Emily, Andrew\"\ne3645,2012/05/05,dinner,pasta,\ne3648,2012/05/06,dinner,pasta,\"Andrew, Emily, Kayden\"\ne3652,2012/05/07,lunch,sushi,\ne3656,2012/05/08,breakfast,oatmeal,\ne3657,2012/05/08,dinner,sushi,\ne3663,2012/05/10,breakfast,pancakes,\ne3669,2012/05/12,breakfast,cereals,\ne3670,2012/05/12,lunch,pasta,\ne3673,2012/05/13,breakfast,peanut-butter-jam,Andrew\ne3674,2012/05/13,lunch,steak,\"Jackson, Willow\"\ne3679,2012/05/14,dinner,indian food,\ne3682,2012/05/15,lunch,sandwich,\ne3683,2012/05/15,dinner,pasta,\ne3686,2012/05/16,dinner,indian food,Kayden\ne3696,2012/05/19,dinner,tacos,\"Carter, Andrew, Emily\"\ne3700,2012/05/20,breakfast,\"eggs, sausages, and bread\",\ne3701,2012/05/20,dinner,sandwich,\ne3704,2012/05/21,breakfast,pancakes,\ne3705,2012/05/21,dinner,pasta,\"Willow, Benjamin, Jackson\"\ne3708,2012/05/22,breakfast,peanut-butter-jam,\"Lydia, Rylee, Eva, Piper, Layla, Claire, Nevaeh, Kinsley\"\ne3709,2012/05/22,lunch,sandwich,\ne3710,2012/05/22,dinner,pasta,\ne3713,2012/05/23,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter\"\ne3714,2012/05/23,lunch,fish and chips,\ne3715,2012/05/23,dinner,fish and chips,\"Claire, Olivia, Rylee, Layla, Eva, Avery, Piper, Kinsley\"\ne3720,2012/05/24,dinner,pasta,\ne3723,2012/05/25,dinner,fish and chips,\"Rylee, Piper, Piper, Nevaeh, Eva, Kinsley, Nora, Hazel, Olivia, Claire, Avery, Lydia\"\ne3729,2012/05/26,dinner,indian food,\ne3730,2012/05/27,dinner,indian food,\"Avery, Kinsley, Eva, Olivia, Nevaeh, Lydia, Layla\"\ne3733,2012/05/28,breakfast,cereals,\ne3734,2012/05/28,dinner,sandwich,\ne3737,2012/05/29,lunch,fish and chips,\"Emily, Kayden, Carter, Andrew\"\ne3741,2012/05/30,breakfast,\"eggs, sausages, and bread\",\"Nora, Piper, Piper\"\ne3742,2012/05/30,dinner,sushi,\ne3745,2012/05/31,breakfast,\"eggs, sausages, and bread\",\"Jackson, Benjamin, Willow\"\ne3746,2012/05/31,lunch,chinese food,\"Benjamin, Willow, Jackson, Avery\"\ne3747,2012/05/31,dinner,steak,\ne3751,2012/06/01,lunch,sushi,\ne3752,2012/06/01,dinner,chinese food,\"Avery, Willow\"\ne3758,2012/06/02,breakfast,cereals,\"Carter, Kayden, Emily\"\ne3759,2012/06/02,lunch,indian food,\ne3761,2012/06/03,dinner,a burger,Piper\ne3763,2012/06/04,breakfast,oatmeal,\ne3764,2012/06/04,dinner,indian food,\ne3767,2012/06/05,breakfast,oatmeal,\ne3768,2012/06/05,lunch,steak,\"Emily, Kayden, Andrew, Carter\"\ne3769,2012/06/05,dinner,steak,\"Jackson, Willow, Avery\"\ne3771,2012/06/06,lunch,a burger,\ne3781,2012/06/10,lunch,steak,\"Avery, Eva, Hazel\"\ne3782,2012/06/10,dinner,tacos,\"Avery, Jackson\"\ne3786,2012/06/11,lunch,sushi,\"Kayden, Carter, Andrew, Emily\"\ne3787,2012/06/11,dinner,steak,\"Benjamin, Avery\"\ne3790,2012/06/12,lunch,steak,\ne3792,2012/06/13,breakfast,cereals,\ne3795,2012/06/14,breakfast,toast and cheese,\"Carter, Kayden\"\ne3797,2012/06/15,dinner,fish and chips,\ne3801,2012/06/17,lunch,a burger,\ne3802,2012/06/17,dinner,sandwich,\ne3804,2012/06/18,dinner,steak,\"Lydia, Nora, Nevaeh, Olivia, Rylee, Kinsley, Piper, Piper\"\ne3806,2012/06/19,breakfast,cereals,\"Hazel, Piper, Lydia, Kinsley, Avery, Claire, Rylee, Nevaeh, Eva, Nora, Piper, Layla\"\ne3807,2012/06/19,dinner,sushi,\ne3810,2012/06/20,breakfast,cereals,\ne3811,2012/06/20,dinner,pasta,\ne3814,2012/06/21,dinner,steak,\ne3817,2012/06/22,breakfast,cereals,\"Hazel, Piper, Eva, Layla, Claire\"\ne3818,2012/06/22,lunch,chinese food,\ne3819,2012/06/22,dinner,sushi,\ne3821,2012/06/23,breakfast,cereals,\ne3825,2012/06/24,breakfast,toast and cheese,\ne3826,2012/06/24,dinner,chinese food,\"Andrew, Carter, Emily, Kayden\"\ne3830,2012/06/25,breakfast,oatmeal,\"Carter, Kayden\"\ne3831,2012/06/25,lunch,a burger,\ne3832,2012/06/25,dinner,tacos,\"Hazel, Nora, Rylee, Kinsley, Olivia, Layla, Claire, Avery, Lydia, Piper, Nevaeh, Eva\"\ne3836,2012/06/26,breakfast,peanut-butter-jam,\ne3837,2012/06/26,lunch,tacos,\ne3838,2012/06/26,dinner,sushi,\ne3841,2012/06/27,breakfast,toast and cheese,Avery\ne3842,2012/06/27,lunch,indian food,\"Olivia, Eva, Layla, Avery, Nevaeh, Piper, Hazel, Lydia, Nora, Rylee\"\ne3843,2012/06/27,dinner,sandwich,\ne3846,2012/06/28,breakfast,pancakes,\"Carter, Kayden, Emily\"\ne3847,2012/06/28,lunch,fish and chips,Kayden\ne3851,2012/06/29,lunch,pasta,\ne3852,2012/06/29,dinner,sandwich,\ne3855,2012/06/30,breakfast,\"eggs, sausages, and bread\",\ne3857,2012/07/01,breakfast,cereals,Carter\ne3858,2012/07/01,lunch,steak,\"Piper, Hazel, Lydia, Kinsley, Piper, Claire, Nora\"\ne3863,2012/07/02,breakfast,peanut-butter-jam,\ne3864,2012/07/02,lunch,tacos,\ne3865,2012/07/02,dinner,pasta,\"Kayden, Andrew, Emily, Carter\"\ne3869,2012/07/03,breakfast,oatmeal,\ne3870,2012/07/03,dinner,chinese food,\"Andrew, Emily, Kayden, Carter\"\ne3873,2012/07/04,breakfast,pancakes,Kayden\ne3874,2012/07/04,lunch,sushi,\"Andrew, Kayden, Emily, Carter\"\ne3875,2012/07/04,dinner,a burger,\"Piper, Layla, Lydia, Eva, Hazel, Rylee, Nevaeh, Kinsley, Piper, Avery, Olivia, Claire, Nora\"\ne3878,2012/07/05,lunch,indian food,Benjamin\ne3882,2012/07/06,dinner,a burger,\ne3884,2012/07/07,breakfast,cereals,\ne3885,2012/07/07,dinner,indian food,\"Andrew, Kayden, Carter\"\ne3889,2012/07/08,breakfast,cereals,\"Carter, Emily, Kayden\"\ne3890,2012/07/08,lunch,fish and chips,\ne3892,2012/07/09,breakfast,pancakes,Avery\ne3893,2012/07/09,lunch,steak,\ne3894,2012/07/09,dinner,chinese food,\ne3895,2012/07/10,lunch,indian food,\ne3900,2012/07/11,lunch,pasta,\"Olivia, Piper\"\ne3904,2012/07/12,breakfast,peanut-butter-jam,\ne3905,2012/07/12,dinner,a burger,\ne3908,2012/07/13,lunch,tacos,\ne3909,2012/07/13,dinner,steak,\"Andrew, Kayden\"\ne3913,2012/07/14,breakfast,pancakes,\ne3914,2012/07/14,lunch,chinese food,\ne3922,2012/07/16,dinner,sandwich,\ne3926,2012/07/17,breakfast,toast and cheese,\"Kayden, Carter, Andrew\"\ne3930,2012/07/18,lunch,steak,\ne3933,2012/07/19,lunch,sushi,Kayden\ne3934,2012/07/19,dinner,pasta,\ne3938,2012/07/20,breakfast,cereals,\ne3939,2012/07/20,dinner,indian food,\ne3942,2012/07/21,breakfast,peanut-butter-jam,\ne3943,2012/07/21,lunch,steak,\ne3946,2012/07/22,breakfast,toast and cheese,Jackson\ne3947,2012/07/22,lunch,sandwich,\ne3948,2012/07/22,dinner,a burger,\ne3952,2012/07/23,breakfast,\"eggs, sausages, and bread\",\ne3953,2012/07/23,lunch,tacos,Carter\ne3954,2012/07/23,dinner,sandwich,\"Emily, Carter\"\ne3961,2012/07/27,lunch,chinese food,\"Andrew, Kayden, Carter, Emily\"\ne3962,2012/07/27,dinner,tacos,\ne3964,2012/07/28,lunch,tacos,Kayden\ne3968,2012/07/29,breakfast,toast and cheese,\"Carter, Kayden, Andrew, Emily\"\ne3972,2012/07/30,breakfast,peanut-butter-jam,\ne3973,2012/07/30,lunch,chinese food,\"Andrew, Emily, Kayden, Carter\"\ne3974,2012/07/31,breakfast,\"eggs, sausages, and bread\",\ne3975,2012/07/31,lunch,sandwich,\"Eva, Avery, Nora, Piper, Piper, Hazel, Claire, Kinsley, Nevaeh, Olivia, Lydia, Rylee\"\ne3976,2012/07/31,dinner,pasta,\ne3979,2012/08/01,breakfast,oatmeal,\"Avery, Eva, Layla, Nevaeh, Piper, Piper, Kinsley, Hazel, Nora\"\ne3983,2012/08/02,breakfast,pancakes,\"Andrew, Emily, Carter\"\ne3984,2012/08/02,dinner,tacos,\ne3987,2012/08/03,breakfast,peanut-butter-jam,\"Benjamin, Willow, Avery\"\ne3991,2012/08/04,breakfast,oatmeal,\ne3992,2012/08/04,dinner,pasta,\ne3995,2012/08/05,lunch,fish and chips,\ne3996,2012/08/05,dinner,pasta,\ne3999,2012/08/06,breakfast,toast and cheese,\"Benjamin, Jackson, Avery, Willow\"\ne4002,2012/08/07,breakfast,oatmeal,\ne4003,2012/08/07,lunch,sandwich,Andrew\ne4004,2012/08/07,dinner,fish and chips,\ne4006,2012/08/08,lunch,tacos,\"Kayden, Andrew, Emily\"\ne4009,2012/08/09,breakfast,toast and cheese,\ne4011,2012/08/10,breakfast,oatmeal,\ne4012,2012/08/10,dinner,sandwich,\ne4016,2012/08/11,breakfast,pancakes,\ne4017,2012/08/11,lunch,sandwich,\"Emily, Andrew\"\ne4018,2012/08/11,dinner,sushi,\ne4022,2012/08/12,lunch,tacos,Jackson\ne4026,2012/08/14,lunch,sushi,\ne4030,2012/08/15,breakfast,\"eggs, sausages, and bread\",\ne4035,2012/08/16,dinner,pasta,\ne4037,2012/08/17,breakfast,pancakes,\ne4038,2012/08/17,lunch,indian food,\ne4039,2012/08/17,dinner,steak,\ne4041,2012/08/18,breakfast,oatmeal,\"Kayden, Andrew, Carter, Emily\"\ne4042,2012/08/18,lunch,chinese food,\ne4043,2012/08/18,dinner,fish and chips,\ne4047,2012/08/19,dinner,pasta,\"Jackson, Avery, Willow, Benjamin\"\ne4051,2012/08/20,lunch,pasta,\"Andrew, Kayden\"\ne4052,2012/08/20,dinner,a burger,\ne4056,2012/08/21,breakfast,cereals,\ne4057,2012/08/21,dinner,tacos,\ne4058,2012/08/22,breakfast,toast and cheese,\ne4059,2012/08/22,dinner,indian food,\ne4062,2012/08/23,breakfast,pancakes,\"Benjamin, Willow\"\ne4063,2012/08/23,lunch,sandwich,\ne4064,2012/08/23,dinner,steak,\ne4067,2012/08/24,breakfast,pancakes,\"Kayden, Emily\"\ne4068,2012/08/24,lunch,indian food,\"Emily, Kayden\"\ne4069,2012/08/24,dinner,sandwich,\"Andrew, Kayden, Carter, Emily\"\ne4076,2012/08/26,lunch,pasta,\ne4077,2012/08/26,dinner,sandwich,\"Kayden, Emily, Andrew, Carter\"\ne4081,2012/08/27,dinner,tacos,\"Kayden, Andrew, Emily, Carter\"\ne4083,2012/08/28,breakfast,pancakes,\ne4084,2012/08/28,lunch,sandwich,\ne4086,2012/08/29,breakfast,toast and cheese,\"Emily, Carter, Andrew\"\ne4090,2012/08/30,breakfast,cereals,\ne4091,2012/08/30,dinner,indian food,\"Kayden, Emily, Andrew, Carter\"\ne4093,2012/08/31,dinner,sandwich,\"Benjamin, Willow, Jackson\"\ne4097,2012/09/01,breakfast,\"eggs, sausages, and bread\",Avery\ne4098,2012/09/01,lunch,indian food,\ne4099,2012/09/01,dinner,chinese food,\"Nevaeh, Olivia, Kinsley, Eva, Piper, Avery, Claire, Lydia, Hazel, Rylee\"\ne4104,2012/09/02,lunch,tacos,\ne4105,2012/09/02,dinner,tacos,Carter\ne4108,2012/09/03,lunch,indian food,\ne4109,2012/09/03,dinner,indian food,\ne4112,2012/09/04,lunch,sushi,\ne4113,2012/09/04,dinner,chinese food,\ne4115,2012/09/05,dinner,fish and chips,\ne4119,2012/09/06,breakfast,peanut-butter-jam,\ne4120,2012/09/06,lunch,tacos,\ne4124,2012/09/08,breakfast,pancakes,\ne4125,2012/09/08,lunch,sushi,\"Emily, Carter, Kayden\"\ne4128,2012/09/09,dinner,a burger,\ne4132,2012/09/10,lunch,chinese food,\ne4135,2012/09/11,breakfast,pancakes,Carter\ne4138,2012/09/12,lunch,pasta,Emily\ne4141,2012/09/13,breakfast,peanut-butter-jam,\ne4142,2012/09/13,dinner,pasta,\ne4145,2012/09/14,breakfast,oatmeal,\ne4146,2012/09/14,dinner,a burger,\"Jackson, Willow, Avery\"\ne4151,2012/09/15,breakfast,pancakes,\"Andrew, Carter\"\ne4152,2012/09/15,lunch,sandwich,Olivia\ne4153,2012/09/15,dinner,steak,\ne4157,2012/09/16,lunch,sushi,\ne4160,2012/09/17,lunch,pasta,\ne4163,2012/09/18,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden\"\ne4164,2012/09/18,lunch,tacos,\ne4166,2012/09/19,breakfast,\"eggs, sausages, and bread\",\ne4167,2012/09/19,lunch,indian food,\ne4171,2012/09/20,lunch,sushi,\ne4175,2012/09/21,breakfast,pancakes,\ne4176,2012/09/21,lunch,sushi,\"Kayden, Emily, Carter, Andrew\"\ne4177,2012/09/21,dinner,fish and chips,\ne4179,2012/09/22,breakfast,\"eggs, sausages, and bread\",\"Piper, Nora\"\ne4182,2012/09/23,breakfast,\"eggs, sausages, and bread\",\ne4183,2012/09/23,lunch,fish and chips,\"Emily, Kayden\"\ne4189,2012/09/24,lunch,steak,\ne4191,2012/09/25,breakfast,toast and cheese,\ne4192,2012/09/25,dinner,a burger,\ne4195,2012/09/26,breakfast,toast and cheese,\"Eva, Nora, Kinsley, Claire, Nevaeh, Rylee, Olivia, Layla, Piper, Avery, Lydia, Hazel, Piper\"\ne4196,2012/09/26,lunch,chinese food,\ne4200,2012/09/27,breakfast,oatmeal,\ne4204,2012/09/28,breakfast,\"eggs, sausages, and bread\",\"Eva, Nevaeh, Piper, Avery, Rylee, Nora, Kinsley, Claire\"\ne4205,2012/09/28,lunch,sandwich,\ne4206,2012/09/28,dinner,indian food,\ne4210,2012/09/29,breakfast,toast and cheese,\ne4211,2012/09/29,lunch,tacos,\ne4212,2012/09/29,dinner,sandwich,\ne4217,2012/09/30,breakfast,oatmeal,\ne4218,2012/09/30,lunch,indian food,\"Emily, Kayden, Carter, Andrew\"\ne4220,2012/10/01,lunch,indian food,\"Andrew, Carter\"\ne4222,2012/10/02,lunch,a burger,\"Claire, Layla, Piper, Avery\"\ne4230,2012/10/05,breakfast,oatmeal,\"Rylee, Nora\"\ne4233,2012/10/06,breakfast,peanut-butter-jam,\ne4234,2012/10/06,dinner,chinese food,\ne4243,2012/10/08,breakfast,cereals,\"Avery, Benjamin\"\ne4244,2012/10/08,lunch,fish and chips,\ne4245,2012/10/08,dinner,sandwich,\ne4249,2012/10/09,breakfast,peanut-butter-jam,\ne4252,2012/10/10,breakfast,cereals,\ne4253,2012/10/10,lunch,pasta,\"Kayden, Carter\"\ne4254,2012/10/10,dinner,fish and chips,\ne4257,2012/10/11,lunch,steak,\ne4258,2012/10/11,dinner,sushi,\"Claire, Nevaeh, Piper, Eva\"\ne4261,2012/10/12,dinner,indian food,\"Benjamin, Jackson, Willow\"\ne4264,2012/10/13,breakfast,toast and cheese,\ne4268,2012/10/14,breakfast,toast and cheese,\ne4269,2012/10/14,lunch,sandwich,\ne4270,2012/10/14,dinner,tacos,\ne4272,2012/10/15,dinner,sushi,\ne4278,2012/10/16,breakfast,peanut-butter-jam,\"Olivia, Piper, Avery, Rylee, Layla, Nevaeh\"\ne4279,2012/10/16,dinner,sushi,\ne4283,2012/10/17,lunch,steak,\ne4286,2012/10/18,breakfast,cereals,\"Hazel, Olivia, Piper, Rylee, Eva\"\ne4287,2012/10/18,dinner,sandwich,\"Rylee, Piper, Kinsley\"\ne4290,2012/10/19,lunch,fish and chips,\ne4295,2012/10/20,breakfast,cereals,\ne4296,2012/10/20,dinner,a burger,\"Nora, Claire, Piper, Layla\"\ne4301,2012/10/22,breakfast,pancakes,\ne4302,2012/10/22,lunch,a burger,Emily\ne4305,2012/10/23,breakfast,pancakes,\"Nevaeh, Avery, Hazel\"\ne4306,2012/10/23,lunch,pasta,\"Nora, Lydia, Piper, Rylee, Avery, Nevaeh, Claire, Layla, Piper\"\ne4307,2012/10/23,dinner,pasta,\ne4312,2012/10/24,lunch,pasta,\ne4313,2012/10/24,dinner,pasta,\ne4319,2012/10/26,dinner,chinese food,\"Andrew, Carter, Emily\"\ne4323,2012/10/27,lunch,fish and chips,\ne4327,2012/10/28,lunch,sushi,\"Emily, Andrew, Carter\"\ne4330,2012/10/29,breakfast,\"eggs, sausages, and bread\",\ne4331,2012/10/29,lunch,tacos,\ne4338,2012/10/31,lunch,pasta,\ne4339,2012/10/31,dinner,fish and chips,\"Andrew, Kayden, Emily\"\ne4343,2012/11/01,lunch,sushi,\ne4344,2012/11/01,dinner,chinese food,\ne4347,2012/11/02,lunch,tacos,\ne4348,2012/11/02,dinner,pasta,\ne4351,2012/11/03,breakfast,peanut-butter-jam,\"Lydia, Nora\"\ne4352,2012/11/03,dinner,pasta,Carter\ne4354,2012/11/04,dinner,fish and chips,\"Willow, Avery, Jackson\"\ne4357,2012/11/05,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden, Andrew\"\ne4358,2012/11/05,lunch,indian food,\"Emily, Carter, Kayden, Andrew\"\ne4359,2012/11/05,dinner,pasta,\ne4364,2012/11/06,breakfast,\"eggs, sausages, and bread\",\"Avery, Eva, Rylee, Lydia, Nevaeh, Claire\"\ne4365,2012/11/06,lunch,indian food,\ne4366,2012/11/06,dinner,tacos,\ne4369,2012/11/07,dinner,sushi,\ne4372,2012/11/08,lunch,sushi,\ne4373,2012/11/08,dinner,sushi,\ne4377,2012/11/09,lunch,a burger,\ne4378,2012/11/09,dinner,chinese food,\ne4381,2012/11/10,breakfast,peanut-butter-jam,\ne4382,2012/11/10,lunch,sushi,\"Avery, Layla\"\ne4384,2012/11/11,lunch,chinese food,\"Piper, Olivia, Lydia, Eva\"\ne4388,2012/11/12,breakfast,pancakes,\ne4389,2012/11/12,lunch,sandwich,\"Nevaeh, Nora, Piper, Layla, Claire, Hazel, Rylee, Lydia, Olivia, Piper, Avery, Eva, Kinsley\"\ne4390,2012/11/12,dinner,indian food,\"Jackson, Willow, Benjamin, Avery\"\ne4394,2012/11/13,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter\"\ne4398,2012/11/14,lunch,sushi,\ne4400,2012/11/15,breakfast,toast and cheese,\ne4401,2012/11/15,lunch,indian food,\ne4404,2012/11/16,breakfast,oatmeal,\"Piper, Claire\"\ne4405,2012/11/17,lunch,a burger,\ne4408,2012/11/18,breakfast,cereals,\ne4409,2012/11/18,lunch,steak,\ne4410,2012/11/18,dinner,a burger,\ne4413,2012/11/19,breakfast,oatmeal,\ne4417,2012/11/20,breakfast,\"eggs, sausages, and bread\",\ne4418,2012/11/20,dinner,a burger,\ne4421,2012/11/21,breakfast,cereals,\ne4422,2012/11/21,lunch,tacos,Andrew\ne4423,2012/11/21,dinner,steak,\ne4427,2012/11/22,lunch,tacos,\"Kayden, Carter, Emily\"\ne4434,2012/11/24,breakfast,toast and cheese,\"Kayden, Andrew\"\ne4435,2012/11/24,lunch,fish and chips,\"Benjamin, Willow\"\ne4437,2012/11/25,lunch,a burger,\ne4442,2012/11/26,breakfast,pancakes,\ne4443,2012/11/26,lunch,sushi,\"Andrew, Emily\"\ne4446,2012/11/27,dinner,sushi,\ne4452,2012/11/28,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew, Emily\"\ne4453,2012/11/28,lunch,pasta,\ne4458,2012/11/29,breakfast,toast and cheese,\"Carter, Emily\"\ne4459,2012/11/29,dinner,indian food,\ne4461,2012/11/30,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew, Emily, Kayden\"\ne4462,2012/11/30,lunch,sandwich,\"Kayden, Emily\"\ne4464,2012/12/01,breakfast,\"eggs, sausages, and bread\",\"Hazel, Layla, Avery, Rylee, Claire, Eva, Piper, Lydia, Nora, Olivia, Kinsley, Nevaeh\"\ne4466,2012/12/02,breakfast,pancakes,Andrew\ne4468,2012/12/03,breakfast,peanut-butter-jam,\"Emily, Carter, Kayden, Andrew\"\ne4469,2012/12/03,lunch,sushi,\ne4470,2012/12/03,dinner,a burger,\ne4475,2012/12/05,breakfast,toast and cheese,\ne4476,2012/12/05,lunch,indian food,\ne4477,2012/12/05,dinner,steak,\ne4481,2012/12/06,breakfast,cereals,\ne4482,2012/12/06,lunch,indian food,\ne4483,2012/12/06,dinner,chinese food,\"Emily, Kayden\"\ne4486,2012/12/07,lunch,tacos,\ne4488,2012/12/08,breakfast,\"eggs, sausages, and bread\",\ne4489,2012/12/08,lunch,steak,\ne4490,2012/12/08,dinner,sushi,\"Carter, Emily, Kayden\"\ne4494,2012/12/09,dinner,steak,\ne4496,2012/12/10,lunch,sushi,\"Nevaeh, Layla, Olivia, Avery, Piper\"\ne4497,2012/12/10,dinner,tacos,\"Kayden, Carter, Emily\"\ne4502,2012/12/11,lunch,fish and chips,\ne4503,2012/12/11,dinner,tacos,\ne4505,2012/12/12,breakfast,pancakes,\"Piper, Eva, Layla, Nora, Olivia, Avery, Piper, Hazel, Lydia\"\ne4506,2012/12/12,lunch,steak,\ne4507,2012/12/12,dinner,fish and chips,\"Kayden, Emily, Andrew\"\ne4510,2012/12/13,breakfast,peanut-butter-jam,\ne4511,2012/12/13,lunch,sandwich,\"Carter, Emily, Kayden\"\ne4512,2012/12/13,dinner,fish and chips,\ne4516,2012/12/14,lunch,indian food,\ne4517,2012/12/14,dinner,sushi,\"Willow, Jackson\"\ne4522,2012/12/15,lunch,fish and chips,\"Willow, Benjamin, Avery, Jackson\"\ne4524,2012/12/16,dinner,a burger,\ne4527,2012/12/17,dinner,indian food,\ne4531,2012/12/18,lunch,tacos,\"Andrew, Kayden\"\ne4532,2012/12/18,dinner,pasta,\ne4539,2012/12/20,breakfast,pancakes,\ne4543,2012/12/21,breakfast,\"eggs, sausages, and bread\",\ne4544,2012/12/21,dinner,steak,\ne4547,2012/12/22,breakfast,toast and cheese,\ne4548,2012/12/22,lunch,sandwich,\ne4549,2012/12/22,dinner,fish and chips,\"Kinsley, Avery, Nora, Rylee, Piper, Layla, Nevaeh, Olivia, Lydia, Piper, Eva\"\ne4553,2012/12/23,dinner,fish and chips,Andrew\ne4557,2012/12/24,breakfast,peanut-butter-jam,\ne4558,2012/12/24,lunch,tacos,\"Carter, Kayden\"\ne4559,2012/12/24,dinner,steak,\"Andrew, Kayden, Carter, Emily\"\ne4561,2012/12/25,lunch,fish and chips,\"Claire, Layla, Nevaeh, Rylee, Olivia\"\ne4562,2012/12/25,dinner,indian food,\ne4564,2012/12/26,breakfast,toast and cheese,\ne4565,2012/12/26,lunch,steak,\ne4566,2012/12/26,dinner,sandwich,\ne4568,2012/12/27,breakfast,peanut-butter-jam,\ne4573,2012/12/28,lunch,chinese food,\ne4575,2012/12/29,dinner,chinese food,\"Carter, Andrew, Emily\"\ne4578,2012/12/30,dinner,a burger,\ne4581,2012/12/31,breakfast,toast and cheese,\"Rylee, Hazel, Nora\"\ne4701,2013/01/01,dinner,steak,\ne4704,2013/01/02,lunch,fish and chips,Nora\ne4705,2013/01/02,dinner,pasta,\"Emily, Carter\"\ne4708,2013/01/03,breakfast,oatmeal,\ne4709,2013/01/03,lunch,steak,\ne4711,2013/01/04,lunch,chinese food,\ne4717,2013/01/06,lunch,indian food,\ne4718,2013/01/06,dinner,pasta,\ne4723,2013/01/08,lunch,indian food,\ne4725,2013/01/09,breakfast,cereals,\"Emily, Andrew, Kayden\"\ne4726,2013/01/09,dinner,sandwich,\"Piper, Nevaeh, Claire, Piper, Lydia\"\ne4730,2013/01/10,breakfast,toast and cheese,\ne4731,2013/01/10,dinner,indian food,\ne4733,2013/01/11,lunch,sushi,\"Emily, Carter, Kayden, Andrew\"\ne4736,2013/01/12,breakfast,\"eggs, sausages, and bread\",\"Andrew, Emily\"\ne4741,2013/01/13,breakfast,oatmeal,\"Benjamin, Willow, Jackson, Avery\"\ne4742,2013/01/13,lunch,pasta,\ne4745,2013/01/14,breakfast,cereals,\"Layla, Rylee, Piper\"\ne4746,2013/01/14,lunch,indian food,\ne4747,2013/01/14,dinner,sushi,\"Piper, Layla, Hazel, Piper, Claire, Olivia\"\ne4751,2013/01/15,breakfast,oatmeal,Willow\ne4752,2013/01/15,dinner,fish and chips,\"Kayden, Andrew, Emily, Carter\"\ne4758,2013/01/17,breakfast,pancakes,\ne4763,2013/01/18,dinner,sushi,\ne4765,2013/01/19,breakfast,toast and cheese,\"Kayden, Andrew, Carter\"\ne4766,2013/01/19,lunch,pasta,\"Avery, Piper, Nevaeh, Olivia, Hazel, Rylee, Eva\"\ne4767,2013/01/19,dinner,chinese food,\ne4770,2013/01/20,lunch,sushi,\"Kinsley, Piper, Lydia, Layla, Hazel\"\ne4771,2013/01/20,dinner,steak,Avery\ne4773,2013/01/22,lunch,a burger,\"Rylee, Olivia, Kinsley, Piper\"\ne4774,2013/01/22,dinner,sandwich,\ne4776,2013/01/23,breakfast,cereals,\ne4777,2013/01/23,lunch,fish and chips,Kayden\ne4780,2013/01/24,breakfast,oatmeal,\ne4784,2013/01/25,breakfast,pancakes,\ne4785,2013/01/25,lunch,sushi,\"Carter, Andrew, Emily\"\ne4786,2013/01/26,breakfast,\"eggs, sausages, and bread\",\ne4787,2013/01/26,lunch,chinese food,\ne4791,2013/01/27,breakfast,pancakes,\"Willow, Benjamin, Avery, Jackson\"\ne4792,2013/01/27,lunch,tacos,\ne4797,2013/01/28,breakfast,pancakes,\"Claire, Rylee, Nora, Lydia, Eva, Hazel, Piper, Olivia, Kinsley, Piper, Avery\"\ne4798,2013/01/28,dinner,tacos,Emily\ne4802,2013/01/29,dinner,steak,\"Kayden, Emily, Andrew, Carter\"\ne4805,2013/01/30,breakfast,pancakes,\ne4806,2013/01/30,lunch,pasta,Kayden\ne4809,2013/01/31,breakfast,peanut-butter-jam,\ne4810,2013/01/31,lunch,tacos,\ne4811,2013/01/31,dinner,sandwich,\"Andrew, Kayden, Carter, Emily\"\ne4816,2013/02/02,breakfast,toast and cheese,\ne4817,2013/02/03,breakfast,cereals,\"Jackson, Willow, Benjamin, Avery\"\ne4818,2013/02/03,lunch,tacos,\"Jackson, Avery, Willow\"\ne4824,2013/02/06,breakfast,pancakes,\ne4825,2013/02/06,dinner,indian food,\ne4827,2013/02/07,lunch,pasta,\ne4831,2013/02/08,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew\"\ne4832,2013/02/08,lunch,sushi,\"Carter, Emily\"\ne4836,2013/02/09,breakfast,cereals,\"Carter, Andrew, Emily\"\ne4843,2013/02/11,lunch,pasta,\"Kayden, Andrew, Carter, Emily\"\ne4844,2013/02/11,dinner,a burger,\ne4847,2013/02/12,lunch,a burger,\"Avery, Nora, Kinsley, Hazel, Olivia, Rylee, Piper, Lydia, Claire, Eva, Nevaeh, Layla\"\ne4852,2013/02/13,breakfast,oatmeal,\"Claire, Eva\"\ne4853,2013/02/13,lunch,pasta,\ne4855,2013/02/14,breakfast,cereals,\ne4858,2013/02/15,breakfast,cereals,\"Willow, Jackson\"\ne4863,2013/02/17,breakfast,toast and cheese,\ne4864,2013/02/17,lunch,pasta,\ne4870,2013/02/18,breakfast,cereals,\ne4871,2013/02/18,lunch,chinese food,\ne4873,2013/02/19,breakfast,oatmeal,\"Jackson, Benjamin, Avery, Willow\"\ne4874,2013/02/19,dinner,steak,\ne4877,2013/02/20,lunch,indian food,\"Carter, Emily\"\ne4880,2013/02/21,dinner,sushi,\ne4883,2013/02/22,breakfast,oatmeal,\ne4884,2013/02/22,dinner,tacos,\"Willow, Avery\"\ne4888,2013/02/23,breakfast,toast and cheese,\ne4889,2013/02/23,dinner,pasta,\"Eva, Avery, Piper, Kinsley, Lydia\"\ne4891,2013/02/24,breakfast,oatmeal,\ne4892,2013/02/24,lunch,indian food,\ne4895,2013/02/25,breakfast,cereals,Nora\ne4896,2013/02/25,dinner,chinese food,\"Olivia, Nora, Claire\"\ne4898,2013/02/26,breakfast,oatmeal,\ne4899,2013/02/26,lunch,sandwich,\"Andrew, Kayden\"\ne4901,2013/02/27,breakfast,toast and cheese,\ne4902,2013/02/27,lunch,sushi,\ne4906,2013/02/28,lunch,tacos,\"Kayden, Andrew, Emily, Carter\"\ne4908,2013/03/01,breakfast,\"eggs, sausages, and bread\",Andrew\ne4909,2013/03/01,lunch,a burger,\ne4911,2013/03/02,breakfast,pancakes,\"Eva, Hazel, Nora, Lydia, Rylee, Piper, Avery, Kinsley, Claire, Piper, Layla, Nevaeh, Olivia\"\ne4912,2013/03/02,lunch,sushi,\"Jackson, Avery, Benjamin\"\ne4915,2013/03/03,breakfast,cereals,\ne4916,2013/03/03,dinner,sandwich,\ne4920,2013/03/04,lunch,sushi,\"Carter, Andrew, Kayden, Emily\"\ne4921,2013/03/04,dinner,sushi,\ne4925,2013/03/05,breakfast,oatmeal,\ne4926,2013/03/05,lunch,chinese food,\ne4930,2013/03/06,breakfast,\"eggs, sausages, and bread\",\ne4932,2013/03/07,lunch,chinese food,\ne4940,2013/03/10,lunch,sushi,Emily\ne4941,2013/03/10,dinner,sandwich,\ne4943,2013/03/11,dinner,sandwich,\ne4947,2013/03/12,breakfast,pancakes,\ne4948,2013/03/12,lunch,tacos,\ne4949,2013/03/12,dinner,pasta,\ne4951,2013/03/13,breakfast,pancakes,\"Layla, Avery, Rylee, Nevaeh\"\ne4952,2013/03/13,lunch,fish and chips,\"Kayden, Andrew, Carter, Emily\"\ne4953,2013/03/13,dinner,steak,\ne4958,2013/03/14,breakfast,peanut-butter-jam,\ne4959,2013/03/14,lunch,sushi,\ne4962,2013/03/15,lunch,fish and chips,\ne4963,2013/03/15,dinner,chinese food,\"Andrew, Kayden\"\ne4965,2013/03/16,lunch,pasta,\"Kinsley, Layla, Rylee, Avery, Olivia, Claire\"\ne4969,2013/03/17,lunch,tacos,\ne4972,2013/03/18,breakfast,oatmeal,\ne4973,2013/03/18,dinner,sushi,\"Claire, Nora, Kinsley, Piper, Nevaeh, Avery, Layla, Eva\"\ne4976,2013/03/19,breakfast,toast and cheese,\"Lydia, Piper, Piper, Nora, Kinsley\"\ne4977,2013/03/19,dinner,steak,\ne4981,2013/03/20,breakfast,toast and cheese,\ne4982,2013/03/20,lunch,tacos,\ne4987,2013/03/21,breakfast,pancakes,\ne4988,2013/03/21,dinner,tacos,\ne4990,2013/03/22,lunch,sandwich,\"Emily, Carter\"\ne4994,2013/03/23,breakfast,toast and cheese,\ne4995,2013/03/23,dinner,chinese food,\"Nevaeh, Hazel, Lydia, Olivia, Rylee, Kinsley, Eva, Avery, Claire, Nora, Piper\"\ne4999,2013/03/24,breakfast,pancakes,\ne5003,2013/03/25,breakfast,oatmeal,\"Lydia, Piper, Hazel, Avery, Piper\"\ne5004,2013/03/25,lunch,sushi,\ne5007,2013/03/26,dinner,fish and chips,\"Carter, Kayden\"\ne5010,2013/03/27,breakfast,cereals,\ne5015,2013/03/28,lunch,chinese food,\ne5016,2013/03/28,dinner,sandwich,\"Claire, Nevaeh, Nora, Avery, Rylee, Olivia\"\ne5020,2013/03/29,breakfast,toast and cheese,\ne5023,2013/03/30,breakfast,peanut-butter-jam,\"Piper, Nora, Eva\"\ne5024,2013/03/30,dinner,indian food,\"Carter, Kayden, Emily, Andrew\"\ne5028,2013/03/31,lunch,steak,Benjamin\ne5032,2013/04/01,breakfast,toast and cheese,\"Emily, Andrew\"\ne5033,2013/04/01,lunch,fish and chips,\"Avery, Willow\"\ne5037,2013/04/02,dinner,a burger,\"Piper, Claire, Lydia, Nevaeh, Olivia, Kinsley\"\ne5040,2013/04/03,lunch,tacos,\ne5043,2013/04/04,breakfast,peanut-butter-jam,\"Hazel, Rylee, Nora, Layla, Piper, Kinsley, Avery, Piper\"\ne5048,2013/04/06,lunch,indian food,\"Emily, Kayden, Andrew\"\ne5051,2013/04/08,breakfast,pancakes,\"Jackson, Benjamin, Avery\"\ne5052,2013/04/08,lunch,indian food,\"Kinsley, Olivia, Eva, Layla, Nevaeh, Piper, Rylee, Avery, Lydia, Hazel\"\ne5054,2013/04/09,dinner,chinese food,\"Rylee, Eva, Piper, Olivia, Layla, Lydia, Nevaeh, Avery, Kinsley, Piper, Nora, Hazel, Claire\"\ne5057,2013/04/10,dinner,fish and chips,Benjamin\ne5060,2013/04/11,breakfast,peanut-butter-jam,\"Emily, Andrew, Kayden\"\ne5061,2013/04/11,dinner,steak,\"Andrew, Emily, Kayden, Carter\"\ne5065,2013/04/12,breakfast,peanut-butter-jam,\"Piper, Layla, Avery, Eva\"\ne5066,2013/04/12,lunch,fish and chips,\"Piper, Nora, Layla, Lydia, Claire, Avery\"\ne5067,2013/04/12,dinner,tacos,\ne5069,2013/04/13,lunch,sushi,\ne5072,2013/04/14,breakfast,toast and cheese,\"Piper, Layla, Piper, Olivia, Kinsley\"\ne5077,2013/04/15,lunch,indian food,\ne5080,2013/04/16,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Willow\"\ne5081,2013/04/16,lunch,a burger,\ne5085,2013/04/17,lunch,a burger,\ne5087,2013/04/18,dinner,steak,\ne5089,2013/04/19,breakfast,cereals,\ne5090,2013/04/19,dinner,pasta,\ne5095,2013/04/20,dinner,fish and chips,\"Andrew, Emily\"\ne5099,2013/04/21,breakfast,toast and cheese,\ne5100,2013/04/21,lunch,pasta,\ne5104,2013/04/22,lunch,pasta,\ne5108,2013/04/23,lunch,sushi,\ne5109,2013/04/23,dinner,steak,\ne5111,2013/04/24,lunch,chinese food,\"Claire, Kinsley, Nevaeh, Nora, Rylee, Eva, Piper, Avery, Piper\"\ne5114,2013/04/25,breakfast,toast and cheese,\ne5115,2013/04/25,dinner,fish and chips,\ne5121,2013/04/26,dinner,sushi,Andrew\ne5125,2013/04/27,breakfast,cereals,\"Andrew, Emily, Kayden\"\ne5126,2013/04/27,lunch,steak,\ne5127,2013/04/27,dinner,fish and chips,\ne5133,2013/04/28,breakfast,\"eggs, sausages, and bread\",\"Avery, Piper, Layla\"\ne5134,2013/04/28,dinner,fish and chips,\"Piper, Piper, Layla, Lydia, Hazel, Avery, Eva, Nevaeh, Nora, Rylee, Olivia, Kinsley, Claire\"\ne5139,2013/04/29,breakfast,peanut-butter-jam,\ne5143,2013/04/30,breakfast,toast and cheese,\"Hazel, Layla\"\ne5144,2013/04/30,lunch,chinese food,\ne5148,2013/05/01,dinner,fish and chips,\"Lydia, Kinsley, Nevaeh, Piper, Avery, Claire, Piper, Olivia\"\ne5152,2013/05/02,breakfast,cereals,\ne5153,2013/05/02,lunch,indian food,\ne5157,2013/05/03,lunch,sandwich,\ne5158,2013/05/03,dinner,chinese food,\ne5161,2013/05/04,breakfast,toast and cheese,\ne5162,2013/05/04,lunch,chinese food,\ne5163,2013/05/04,dinner,indian food,\"Piper, Olivia, Nevaeh, Kinsley\"\ne5168,2013/05/05,breakfast,toast and cheese,\"Eva, Piper, Avery, Nora, Rylee, Piper, Hazel, Layla\"\ne5169,2013/05/05,dinner,sushi,\"Piper, Avery, Eva, Rylee, Kinsley, Olivia, Claire, Lydia, Nora, Nevaeh\"\ne5172,2013/05/06,breakfast,peanut-butter-jam,\ne5173,2013/05/06,lunch,sandwich,\"Andrew, Kayden\"\ne5180,2013/05/08,breakfast,pancakes,\ne5183,2013/05/09,lunch,a burger,\"Andrew, Emily, Carter\"\ne5189,2013/05/10,breakfast,pancakes,\ne5190,2013/05/10,lunch,sushi,\ne5191,2013/05/10,dinner,sushi,\"Claire, Hazel\"\ne5196,2013/05/11,dinner,indian food,\ne5200,2013/05/12,lunch,chinese food,\ne5201,2013/05/12,dinner,sandwich,\ne5206,2013/05/13,dinner,sandwich,\ne5209,2013/05/14,dinner,sandwich,\ne5210,2013/05/15,breakfast,toast and cheese,Andrew\ne5211,2013/05/15,dinner,pasta,Rylee\ne5213,2013/05/16,breakfast,toast and cheese,\ne5218,2013/05/17,breakfast,toast and cheese,\"Kayden, Carter, Emily\"\ne5219,2013/05/17,dinner,sandwich,\ne5224,2013/05/19,lunch,chinese food,\"Emily, Andrew, Kayden, Carter\"\ne5225,2013/05/19,dinner,tacos,\"Nora, Piper, Piper, Layla, Hazel, Rylee, Lydia, Avery, Nevaeh\"\ne5234,2013/05/22,lunch,fish and chips,\ne5235,2013/05/23,breakfast,oatmeal,\"Benjamin, Jackson, Avery, Willow\"\ne5236,2013/05/23,lunch,indian food,\"Carter, Emily, Kayden, Andrew\"\ne5239,2013/05/24,breakfast,cereals,\"Piper, Lydia, Avery, Rylee, Olivia, Layla, Eva, Piper, Claire, Nora, Hazel, Kinsley, Nevaeh\"\ne5240,2013/05/24,lunch,steak,\ne5244,2013/05/25,dinner,a burger,\"Willow, Avery\"\ne5251,2013/05/27,breakfast,oatmeal,\ne5255,2013/05/28,dinner,a burger,\ne5259,2013/05/29,dinner,indian food,\"Andrew, Kayden\"\ne5261,2013/05/30,lunch,pasta,Andrew\ne5263,2013/05/31,breakfast,oatmeal,\ne5264,2013/05/31,lunch,fish and chips,\ne5265,2013/05/31,dinner,steak,\"Benjamin, Avery\"\ne5269,2013/06/01,breakfast,oatmeal,\"Hazel, Claire, Piper, Nora, Olivia, Piper, Rylee, Kinsley, Nevaeh, Avery, Lydia, Layla, Eva\"\ne5270,2013/06/01,dinner,indian food,Kayden\ne5274,2013/06/02,lunch,indian food,\"Eva, Olivia, Hazel, Claire, Nora, Avery, Rylee, Piper\"\ne5275,2013/06/02,dinner,a burger,\ne5277,2013/06/03,breakfast,pancakes,\ne5282,2013/06/05,breakfast,toast and cheese,\"Emily, Kayden, Andrew, Carter\"\ne5283,2013/06/05,lunch,pasta,Kayden\ne5284,2013/06/05,dinner,tacos,\"Kayden, Andrew, Carter, Emily\"\ne5289,2013/06/06,breakfast,cereals,\ne5290,2013/06/06,lunch,fish and chips,\ne5294,2013/06/07,dinner,chinese food,\ne5298,2013/06/08,lunch,a burger,\ne5301,2013/06/09,lunch,sushi,\ne5304,2013/06/10,breakfast,toast and cheese,\ne5311,2013/06/12,breakfast,cereals,\ne5314,2013/06/13,dinner,indian food,\ne5320,2013/06/14,breakfast,oatmeal,\ne5321,2013/06/14,dinner,steak,\"Avery, Jackson, Willow\"\ne5325,2013/06/15,lunch,tacos,\ne5331,2013/06/17,lunch,pasta,\ne5334,2013/06/18,breakfast,cereals,\ne5338,2013/06/19,breakfast,peanut-butter-jam,\ne5339,2013/06/19,lunch,steak,\"Emily, Kayden\"\ne5340,2013/06/19,dinner,fish and chips,\ne5344,2013/06/20,lunch,fish and chips,Emily\ne5345,2013/06/20,dinner,pasta,\"Kayden, Andrew, Carter, Emily\"\ne5349,2013/06/21,breakfast,\"eggs, sausages, and bread\",\"Lydia, Olivia, Rylee, Hazel, Layla, Kinsley, Avery, Nevaeh\"\ne5350,2013/06/21,lunch,fish and chips,\"Rylee, Avery, Layla\"\ne5352,2013/06/22,breakfast,toast and cheese,\ne5353,2013/06/22,dinner,a burger,\ne5354,2013/06/23,breakfast,cereals,\ne5355,2013/06/23,dinner,steak,\ne5364,2013/06/26,lunch,tacos,\ne5365,2013/06/26,dinner,sandwich,Avery\ne5369,2013/06/28,lunch,chinese food,\ne5370,2013/06/28,dinner,a burger,\"Olivia, Piper, Hazel, Eva, Avery, Layla, Nora, Claire, Piper, Kinsley, Rylee, Lydia, Nevaeh\"\ne5373,2013/06/29,breakfast,peanut-butter-jam,\ne5374,2013/06/29,lunch,tacos,\"Emily, Andrew, Kayden\"\ne5375,2013/06/29,dinner,sandwich,\"Eva, Olivia, Nora, Avery, Lydia, Piper, Claire, Kinsley\"\ne5377,2013/06/30,breakfast,toast and cheese,\ne5378,2013/06/30,dinner,sushi,\"Piper, Hazel, Kinsley, Piper, Claire\"\ne5381,2013/07/01,breakfast,toast and cheese,\ne5382,2013/07/01,lunch,pasta,\ne5384,2013/07/02,breakfast,toast and cheese,\ne5385,2013/07/02,lunch,tacos,\"Jackson, Avery, Benjamin, Willow\"\ne5386,2013/07/02,dinner,indian food,\"Olivia, Kinsley, Lydia, Eva, Claire, Rylee, Hazel, Avery, Layla, Nora\"\ne5390,2013/07/04,breakfast,oatmeal,\"Olivia, Piper, Eva, Hazel, Lydia, Nora, Kinsley, Claire, Piper, Avery\"\ne5391,2013/07/04,dinner,indian food,\ne5393,2013/07/05,breakfast,oatmeal,\"Claire, Kinsley, Nevaeh, Piper, Avery, Piper, Eva, Lydia, Nora, Olivia, Rylee, Layla\"\ne5394,2013/07/05,lunch,sandwich,\ne5395,2013/07/05,dinner,tacos,\ne5400,2013/07/06,breakfast,toast and cheese,\"Emily, Andrew, Kayden\"\ne5401,2013/07/06,lunch,sandwich,\"Carter, Kayden\"\ne5406,2013/07/07,dinner,indian food,\ne5410,2013/07/08,lunch,pasta,\ne5412,2013/07/09,breakfast,cereals,\ne5413,2013/07/09,lunch,chinese food,\"Willow, Benjamin\"\ne5415,2013/07/10,breakfast,toast and cheese,\"Kayden, Emily, Carter, Andrew\"\ne5418,2013/07/11,breakfast,toast and cheese,\ne5419,2013/07/12,breakfast,toast and cheese,\ne5420,2013/07/12,lunch,fish and chips,\"Carter, Kayden, Andrew\"\ne5424,2013/07/13,dinner,chinese food,\ne5429,2013/07/14,breakfast,pancakes,\ne5430,2013/07/14,dinner,steak,Andrew\ne5434,2013/07/15,breakfast,toast and cheese,\ne5437,2013/07/16,lunch,fish and chips,\"Layla, Kinsley, Piper, Lydia, Rylee, Piper, Olivia, Claire\"\ne5441,2013/07/17,dinner,steak,\"Kayden, Carter\"\ne5445,2013/07/18,breakfast,pancakes,\"Andrew, Emily, Kayden, Carter\"\ne5446,2013/07/18,dinner,sandwich,\"Nora, Lydia, Olivia, Piper\"\ne5449,2013/07/19,dinner,sushi,\ne5455,2013/07/21,breakfast,pancakes,\ne5456,2013/07/21,lunch,chinese food,\ne5462,2013/07/23,breakfast,oatmeal,\ne5465,2013/07/24,breakfast,toast and cheese,\ne5466,2013/07/24,lunch,a burger,\ne5475,2013/07/27,breakfast,peanut-butter-jam,\ne5476,2013/07/27,lunch,fish and chips,Willow\ne5480,2013/07/28,lunch,sandwich,\ne5481,2013/07/28,dinner,a burger,\"Emily, Kayden\"\ne5485,2013/07/30,breakfast,pancakes,\ne5486,2013/07/30,lunch,chinese food,\ne5489,2013/07/31,breakfast,\"eggs, sausages, and bread\",\"Lydia, Nora, Avery, Kinsley, Olivia, Nevaeh, Rylee, Eva, Hazel\"\ne5490,2013/07/31,lunch,steak,\"Emily, Andrew\"\ne5491,2013/07/31,dinner,indian food,\"Rylee, Avery, Nora\"\ne5496,2013/08/01,dinner,fish and chips,\ne5498,2013/08/02,breakfast,oatmeal,\"Nevaeh, Avery, Piper, Kinsley, Piper, Layla, Eva, Nora, Claire, Lydia, Olivia, Hazel\"\ne5499,2013/08/02,lunch,sandwich,\ne5503,2013/08/03,lunch,tacos,\ne5504,2013/08/03,dinner,sandwich,\ne5505,2013/08/04,lunch,indian food,\ne5509,2013/08/05,breakfast,\"eggs, sausages, and bread\",\ne5510,2013/08/05,lunch,steak,\"Emily, Carter\"\ne5511,2013/08/05,dinner,sandwich,\ne5516,2013/08/07,breakfast,oatmeal,\ne5517,2013/08/07,lunch,steak,\ne5518,2013/08/07,dinner,fish and chips,\ne5521,2013/08/08,lunch,tacos,\ne5522,2013/08/08,dinner,steak,\ne5530,2013/08/10,breakfast,cereals,\ne5534,2013/08/11,breakfast,peanut-butter-jam,\ne5535,2013/08/11,lunch,tacos,\"Nevaeh, Claire, Olivia, Eva, Lydia, Hazel, Kinsley, Piper, Piper, Avery, Layla\"\ne5537,2013/08/12,lunch,indian food,\ne5538,2013/08/12,dinner,indian food,\ne5539,2013/08/13,lunch,fish and chips,\ne5540,2013/08/13,dinner,fish and chips,\ne5544,2013/08/14,lunch,a burger,\"Rylee, Layla, Lydia, Nevaeh, Hazel, Claire, Eva\"\ne5548,2013/08/16,breakfast,\"eggs, sausages, and bread\",\ne5553,2013/08/18,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden\"\ne5555,2013/08/19,lunch,sushi,\ne5556,2013/08/19,dinner,indian food,\ne5558,2013/08/20,breakfast,cereals,\ne5559,2013/08/20,dinner,a burger,\ne5563,2013/08/21,breakfast,toast and cheese,\ne5564,2013/08/21,lunch,sandwich,\"Andrew, Carter\"\ne5565,2013/08/21,dinner,sandwich,\ne5568,2013/08/22,dinner,pasta,\ne5576,2013/08/24,dinner,chinese food,\ne5579,2013/08/25,breakfast,cereals,\"Carter, Andrew\"\ne5580,2013/08/25,lunch,pasta,\ne5584,2013/08/26,breakfast,peanut-butter-jam,\ne5585,2013/08/26,dinner,tacos,\"Avery, Benjamin, Jackson\"\ne5589,2013/08/27,lunch,steak,\"Carter, Emily, Kayden, Andrew\"\ne5590,2013/08/27,dinner,pasta,\ne5597,2013/08/29,lunch,pasta,\"Carter, Emily, Kayden, Andrew\"\ne5600,2013/08/30,lunch,sushi,\ne5601,2013/08/30,dinner,steak,\ne5602,2013/08/31,breakfast,cereals,\ne5603,2013/08/31,lunch,sandwich,\ne5604,2013/08/31,dinner,fish and chips,\"Emily, Kayden, Andrew, Carter\"\ne5605,2013/09/01,lunch,sushi,\ne5610,2013/09/02,breakfast,cereals,\ne5611,2013/09/02,lunch,fish and chips,\ne5615,2013/09/03,dinner,steak,\"Andrew, Emily, Carter, Kayden\"\ne5619,2013/09/04,lunch,sandwich,Andrew\ne5621,2013/09/05,lunch,chinese food,\ne5622,2013/09/05,dinner,fish and chips,\"Piper, Eva, Olivia, Piper, Avery, Kinsley\"\ne5626,2013/09/06,breakfast,cereals,\ne5627,2013/09/06,lunch,sushi,\ne5628,2013/09/06,dinner,a burger,\ne5631,2013/09/07,lunch,indian food,\ne5639,2013/09/09,breakfast,pancakes,\ne5640,2013/09/09,lunch,fish and chips,\"Avery, Benjamin, Willow\"\ne5641,2013/09/09,dinner,tacos,\"Andrew, Kayden\"\ne5644,2013/09/10,breakfast,oatmeal,\ne5647,2013/09/12,lunch,a burger,\ne5650,2013/09/13,breakfast,peanut-butter-jam,\"Kayden, Andrew, Emily\"\ne5651,2013/09/13,lunch,fish and chips,\ne5656,2013/09/14,lunch,tacos,\"Nevaeh, Lydia, Kinsley, Piper, Eva\"\ne5657,2013/09/14,dinner,steak,\ne5659,2013/09/15,breakfast,pancakes,\ne5660,2013/09/15,dinner,pasta,\"Avery, Jackson, Willow\"\ne5662,2013/09/16,breakfast,oatmeal,\ne5665,2013/09/17,breakfast,peanut-butter-jam,\ne5669,2013/09/18,breakfast,toast and cheese,\ne5670,2013/09/18,lunch,pasta,\ne5672,2013/09/19,lunch,chinese food,\ne5673,2013/09/19,dinner,sandwich,\"Claire, Nora, Piper, Piper, Nevaeh, Hazel, Olivia\"\ne5676,2013/09/20,lunch,indian food,\"Andrew, Kayden\"\ne5677,2013/09/20,dinner,fish and chips,\ne5681,2013/09/21,lunch,indian food,\ne5682,2013/09/21,dinner,sushi,\"Nora, Layla, Eva, Piper, Nevaeh, Rylee, Piper\"\ne5688,2013/09/22,breakfast,pancakes,\"Carter, Andrew, Kayden\"\ne5689,2013/09/22,lunch,steak,\ne5693,2013/09/23,breakfast,pancakes,\ne5694,2013/09/23,lunch,tacos,\ne5695,2013/09/23,dinner,pasta,\ne5699,2013/09/24,lunch,sushi,Nora\ne5700,2013/09/24,dinner,fish and chips,\ne5702,2013/09/25,breakfast,peanut-butter-jam,\ne5705,2013/09/26,breakfast,peanut-butter-jam,\"Benjamin, Willow, Avery, Jackson\"\ne5706,2013/09/26,lunch,pasta,\ne5709,2013/09/27,lunch,sandwich,\"Olivia, Rylee, Kinsley, Piper, Nora, Nevaeh, Hazel, Lydia, Layla, Avery, Claire, Piper, Eva\"\ne5711,2013/09/28,breakfast,\"eggs, sausages, and bread\",\ne5712,2013/09/28,lunch,sushi,Jackson\ne5715,2013/09/29,breakfast,cereals,\ne5718,2013/09/30,breakfast,pancakes,\ne5719,2013/09/30,lunch,steak,\ne5720,2013/10/01,breakfast,cereals,Avery\ne5725,2013/10/02,dinner,sandwich,\"Emily, Carter, Kayden, Andrew\"\ne5727,2013/10/03,breakfast,cereals,\ne5736,2013/10/06,lunch,sandwich,\ne5737,2013/10/06,dinner,tacos,\"Andrew, Kayden, Emily\"\ne5739,2013/10/07,lunch,tacos,\"Carter, Emily, Andrew\"\ne5741,2013/10/08,breakfast,peanut-butter-jam,\ne5742,2013/10/08,lunch,chinese food,\ne5747,2013/10/10,dinner,fish and chips,\ne5750,2013/10/11,lunch,tacos,\ne5752,2013/10/12,dinner,a burger,Avery\ne5753,2013/10/13,breakfast,oatmeal,\"Kinsley, Lydia, Claire, Eva, Olivia, Nora, Piper, Rylee\"\ne5756,2013/10/14,breakfast,cereals,\"Nora, Eva, Kinsley, Avery\"\ne5757,2013/10/14,lunch,pasta,\ne5758,2013/10/14,dinner,a burger,\ne5759,2013/10/15,breakfast,oatmeal,\ne5760,2013/10/16,lunch,pasta,\"Avery, Willow\"\ne5765,2013/10/18,breakfast,toast and cheese,\ne5766,2013/10/19,breakfast,cereals,\"Andrew, Carter, Emily, Kayden\"\ne5767,2013/10/19,dinner,sandwich,\"Kayden, Emily\"\ne5772,2013/10/21,breakfast,\"eggs, sausages, and bread\",\"Kinsley, Lydia, Claire, Avery, Nevaeh, Olivia, Piper\"\ne5773,2013/10/21,lunch,chinese food,\ne5774,2013/10/21,dinner,fish and chips,Kayden\ne5775,2013/10/22,lunch,steak,Layla\ne5778,2013/10/23,breakfast,toast and cheese,\ne5779,2013/10/23,lunch,sushi,\ne5780,2013/10/23,dinner,fish and chips,\ne5784,2013/10/24,lunch,sandwich,\ne5788,2013/10/25,lunch,fish and chips,\ne5792,2013/10/26,lunch,indian food,\"Avery, Nora, Rylee, Lydia, Hazel, Nevaeh, Claire, Kinsley, Piper, Piper, Olivia, Eva\"\ne5793,2013/10/26,dinner,steak,\ne5796,2013/10/27,lunch,indian food,\ne5798,2013/10/28,breakfast,peanut-butter-jam,\ne5802,2013/10/29,breakfast,oatmeal,\ne5803,2013/10/29,lunch,sandwich,\ne5807,2013/10/30,breakfast,toast and cheese,\ne5808,2013/10/30,dinner,tacos,\ne5814,2013/11/01,breakfast,\"eggs, sausages, and bread\",Avery\ne5816,2013/11/02,dinner,sandwich,\"Jackson, Avery, Willow, Benjamin\"\ne5819,2013/11/03,breakfast,pancakes,\ne5820,2013/11/03,lunch,fish and chips,\ne5821,2013/11/03,dinner,sushi,\ne5825,2013/11/05,dinner,a burger,\"Kayden, Emily, Andrew\"\ne5830,2013/11/06,breakfast,peanut-butter-jam,\"Avery, Olivia, Layla, Eva, Claire\"\ne5831,2013/11/06,lunch,pasta,Benjamin\ne5832,2013/11/06,dinner,a burger,\"Kayden, Emily\"\ne5837,2013/11/07,breakfast,pancakes,Willow\ne5838,2013/11/07,dinner,sushi,\"Carter, Emily, Kayden, Andrew\"\ne5841,2013/11/08,breakfast,\"eggs, sausages, and bread\",Carter\ne5842,2013/11/08,lunch,indian food,\"Andrew, Carter, Emily\"\ne5843,2013/11/08,dinner,fish and chips,\ne5848,2013/11/09,lunch,sandwich,\ne5849,2013/11/09,dinner,tacos,Piper\ne5853,2013/11/11,breakfast,oatmeal,\ne5861,2013/11/14,breakfast,peanut-butter-jam,\ne5862,2013/11/14,lunch,a burger,\ne5863,2013/11/14,dinner,sushi,\ne5866,2013/11/15,breakfast,toast and cheese,\"Avery, Hazel, Nora, Claire, Eva, Olivia, Lydia, Kinsley\"\ne5869,2013/11/16,dinner,a burger,\"Kayden, Andrew, Emily, Carter\"\ne5871,2013/11/17,breakfast,pancakes,\ne5872,2013/11/17,lunch,sandwich,\ne5873,2013/11/17,dinner,indian food,\ne5880,2013/11/19,lunch,a burger,\"Emily, Kayden\"\ne5883,2013/11/20,lunch,chinese food,\"Carter, Andrew, Emily\"\ne5884,2013/11/20,dinner,a burger,\"Kayden, Emily, Andrew, Carter\"\ne5886,2013/11/21,breakfast,cereals,\"Emily, Andrew, Kayden, Carter\"\ne5887,2013/11/22,lunch,indian food,\"Jackson, Avery\"\ne5888,2013/11/22,dinner,chinese food,\ne5891,2013/11/23,lunch,pasta,\"Nevaeh, Kinsley, Rylee, Hazel, Lydia, Nora, Claire, Piper, Avery, Layla, Piper, Eva\"\ne5892,2013/11/23,dinner,sandwich,\"Emily, Kayden, Andrew\"\ne5896,2013/11/24,lunch,pasta,\ne5900,2013/11/25,breakfast,cereals,\ne5901,2013/11/26,breakfast,cereals,\ne5902,2013/11/26,lunch,fish and chips,\ne5905,2013/11/27,breakfast,cereals,\"Emily, Carter, Andrew\"\ne5906,2013/11/27,dinner,steak,Olivia\ne5909,2013/11/28,breakfast,cereals,\"Benjamin, Willow\"\ne5910,2013/11/28,lunch,pasta,\"Eva, Nora, Avery, Piper, Piper, Layla, Kinsley, Olivia\"\ne5911,2013/11/28,dinner,sandwich,\ne5915,2013/11/29,dinner,indian food,\ne5918,2013/11/30,dinner,tacos,\ne5923,2013/12/01,lunch,fish and chips,\"Jackson, Benjamin\"\ne5924,2013/12/01,dinner,pasta,\"Benjamin, Jackson\"\ne5928,2013/12/02,lunch,steak,\ne5929,2013/12/02,dinner,sandwich,\ne5930,2013/12/03,breakfast,cereals,Carter\ne5935,2013/12/04,lunch,steak,\"Hazel, Piper, Kinsley, Eva, Nora, Claire, Rylee\"\ne5938,2013/12/05,lunch,sushi,\ne5942,2013/12/06,breakfast,toast and cheese,\ne5943,2013/12/06,lunch,pasta,\ne5944,2013/12/06,dinner,pasta,\ne5946,2013/12/07,lunch,fish and chips,\ne5947,2013/12/07,dinner,tacos,\ne5949,2013/12/08,breakfast,peanut-butter-jam,\ne5950,2013/12/08,dinner,indian food,\"Emily, Carter\"\ne5955,2013/12/09,breakfast,peanut-butter-jam,\ne5956,2013/12/09,dinner,sushi,\ne5958,2013/12/10,dinner,pasta,\"Andrew, Kayden, Carter\"\ne5963,2013/12/12,breakfast,pancakes,\"Avery, Willow, Jackson, Benjamin\"\ne5964,2013/12/12,lunch,a burger,\"Andrew, Emily\"\ne5965,2013/12/12,dinner,fish and chips,\ne5968,2013/12/13,lunch,fish and chips,\"Layla, Olivia, Kinsley, Lydia, Rylee\"\ne5972,2013/12/14,breakfast,cereals,\"Carter, Emily\"\ne5973,2013/12/14,lunch,steak,Emily\ne5974,2013/12/14,dinner,sandwich,\ne5976,2013/12/15,breakfast,oatmeal,\"Avery, Willow, Benjamin, Jackson\"\ne5977,2013/12/15,lunch,fish and chips,\"Andrew, Carter\"\ne5981,2013/12/16,breakfast,toast and cheese,\"Kayden, Emily, Carter, Andrew\"\ne5985,2013/12/17,breakfast,toast and cheese,\ne5986,2013/12/17,dinner,tacos,\"Willow, Avery, Jackson, Benjamin\"\ne5989,2013/12/18,breakfast,cereals,\"Nevaeh, Piper, Kinsley, Lydia, Avery, Eva\"\ne5990,2013/12/18,lunch,steak,Benjamin\ne5998,2013/12/20,dinner,pasta,\ne6002,2013/12/21,dinner,steak,\"Kayden, Emily, Carter, Andrew\"\ne6006,2013/12/22,lunch,a burger,\"Andrew, Emily, Kayden, Carter\"\ne6011,2013/12/23,breakfast,cereals,\"Piper, Lydia, Nora, Hazel, Olivia, Piper, Layla, Kinsley, Claire, Rylee\"\ne6012,2013/12/23,lunch,a burger,\"Kayden, Emily, Andrew, Carter\"\ne6013,2013/12/23,dinner,steak,\ne6016,2013/12/24,breakfast,toast and cheese,\ne6017,2013/12/24,lunch,a burger,\ne6021,2013/12/25,lunch,sushi,\"Eva, Nevaeh, Piper, Claire, Lydia, Piper, Olivia, Nora, Layla, Hazel, Kinsley, Rylee, Avery\"\ne6022,2013/12/25,dinner,pasta,Andrew\ne6025,2013/12/26,lunch,pasta,\ne6028,2013/12/27,breakfast,pancakes,\ne6029,2013/12/27,lunch,sushi,\ne6031,2013/12/28,breakfast,toast and cheese,\ne6032,2013/12/28,lunch,steak,Emily\ne6034,2013/12/29,breakfast,cereals,\ne6037,2013/12/30,lunch,sushi,\ne6041,2013/12/31,breakfast,toast and cheese,\"Nevaeh, Hazel, Claire, Olivia, Piper\"\ne6180,2014/01/01,lunch,sushi,\ne6181,2014/01/02,breakfast,oatmeal,\ne6182,2014/01/02,lunch,fish and chips,\ne6190,2014/01/05,lunch,chinese food,Avery\ne6193,2014/01/06,breakfast,oatmeal,\ne6194,2014/01/06,dinner,a burger,\ne6195,2014/01/07,breakfast,\"eggs, sausages, and bread\",\ne6196,2014/01/07,lunch,a burger,\"Kayden, Carter\"\ne6197,2014/01/07,dinner,a burger,\ne6200,2014/01/08,breakfast,peanut-butter-jam,\"Kayden, Emily, Carter\"\ne6203,2014/01/09,dinner,steak,\ne6205,2014/01/10,breakfast,cereals,\"Carter, Emily, Kayden\"\ne6206,2014/01/10,lunch,pasta,\ne6207,2014/01/10,dinner,chinese food,\"Avery, Rylee, Lydia, Nevaeh, Piper, Layla, Nora, Claire, Kinsley, Olivia, Eva, Piper, Hazel\"\ne6211,2014/01/11,breakfast,peanut-butter-jam,\ne6212,2014/01/11,lunch,indian food,\"Kayden, Andrew, Emily, Carter\"\ne6215,2014/01/12,breakfast,oatmeal,\ne6216,2014/01/12,dinner,steak,\ne6217,2014/01/13,breakfast,toast and cheese,\ne6218,2014/01/13,dinner,tacos,\ne6221,2014/01/14,breakfast,oatmeal,\ne6222,2014/01/14,dinner,a burger,\ne6225,2014/01/15,breakfast,\"eggs, sausages, and bread\",\ne6226,2014/01/15,dinner,sandwich,\ne6229,2014/01/16,dinner,tacos,\ne6233,2014/01/17,breakfast,peanut-butter-jam,\ne6234,2014/01/17,dinner,pasta,\ne6237,2014/01/18,dinner,sushi,\"Andrew, Kayden, Carter\"\ne6240,2014/01/19,breakfast,peanut-butter-jam,\ne6244,2014/01/20,lunch,sandwich,\"Avery, Benjamin\"\ne6248,2014/01/21,dinner,pasta,\ne6253,2014/01/22,lunch,a burger,\ne6258,2014/01/23,breakfast,\"eggs, sausages, and bread\",\ne6259,2014/01/23,lunch,indian food,\ne6263,2014/01/24,lunch,pasta,\"Avery, Olivia, Kinsley, Lydia, Piper, Hazel\"\ne6264,2014/01/24,dinner,pasta,\"Olivia, Rylee, Claire, Avery, Nevaeh, Piper\"\ne6267,2014/01/25,breakfast,oatmeal,\"Carter, Emily, Andrew, Kayden\"\ne6270,2014/01/26,breakfast,peanut-butter-jam,\"Kinsley, Lydia, Avery, Piper, Claire\"\ne6271,2014/01/26,lunch,sushi,\ne6272,2014/01/26,dinner,tacos,\ne6273,2014/01/27,lunch,tacos,Andrew\ne6274,2014/01/27,dinner,fish and chips,\ne6277,2014/01/28,breakfast,peanut-butter-jam,\"Avery, Willow, Benjamin, Jackson\"\ne6278,2014/01/28,dinner,chinese food,\ne6279,2014/01/29,dinner,steak,\ne6283,2014/01/30,lunch,a burger,\ne6284,2014/01/30,dinner,fish and chips,\ne6288,2014/02/01,dinner,sandwich,\ne6291,2014/02/02,lunch,fish and chips,\ne6292,2014/02/02,dinner,pasta,\"Olivia, Kinsley, Rylee, Piper, Eva, Nevaeh, Lydia, Hazel, Piper, Nora, Claire, Layla, Avery\"\ne6297,2014/02/03,breakfast,peanut-butter-jam,\ne6298,2014/02/03,lunch,indian food,\"Carter, Kayden\"\ne6302,2014/02/04,lunch,tacos,\ne6307,2014/02/05,breakfast,\"eggs, sausages, and bread\",\ne6308,2014/02/05,lunch,steak,\"Andrew, Kayden, Emily\"\ne6312,2014/02/06,breakfast,\"eggs, sausages, and bread\",\"Jackson, Benjamin, Avery\"\ne6313,2014/02/06,lunch,a burger,\"Kayden, Andrew, Carter, Emily\"\ne6315,2014/02/07,breakfast,toast and cheese,\ne6316,2014/02/07,lunch,chinese food,\ne6317,2014/02/07,dinner,sandwich,\ne6319,2014/02/08,dinner,steak,\"Andrew, Kayden, Emily\"\ne6323,2014/02/09,breakfast,peanut-butter-jam,\ne6324,2014/02/09,lunch,indian food,\ne6325,2014/02/09,dinner,steak,\"Carter, Andrew, Kayden, Emily\"\ne6330,2014/02/10,breakfast,peanut-butter-jam,Willow\ne6331,2014/02/10,lunch,pasta,\ne6332,2014/02/10,dinner,a burger,\"Nevaeh, Piper, Eva, Rylee, Piper, Hazel, Claire\"\ne6338,2014/02/11,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter, Emily, Andrew\"\ne6339,2014/02/11,lunch,fish and chips,\"Kayden, Andrew, Carter, Emily\"\ne6340,2014/02/11,dinner,steak,\ne6344,2014/02/12,lunch,chinese food,\ne6348,2014/02/13,lunch,indian food,Carter\ne6349,2014/02/13,dinner,sandwich,\ne6351,2014/02/14,dinner,fish and chips,\"Olivia, Claire\"\ne6355,2014/02/15,lunch,steak,\"Jackson, Avery, Willow\"\ne6356,2014/02/15,dinner,indian food,Andrew\ne6358,2014/02/16,breakfast,pancakes,\ne6359,2014/02/16,lunch,pasta,\ne6363,2014/02/17,lunch,pasta,Kayden\ne6364,2014/02/17,dinner,sushi,\"Carter, Emily, Kayden, Andrew\"\ne6368,2014/02/18,lunch,steak,\ne6369,2014/02/18,dinner,sushi,\ne6373,2014/02/19,breakfast,oatmeal,Andrew\ne6374,2014/02/19,lunch,fish and chips,Emily\ne6375,2014/02/19,dinner,sushi,\"Avery, Nevaeh, Rylee\"\ne6378,2014/02/20,breakfast,\"eggs, sausages, and bread\",\ne6381,2014/02/21,breakfast,pancakes,\ne6382,2014/02/21,dinner,sandwich,\ne6386,2014/02/22,breakfast,pancakes,\ne6387,2014/02/22,dinner,sandwich,\ne6390,2014/02/23,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Jackson\"\ne6391,2014/02/23,dinner,steak,\"Eva, Lydia, Olivia, Piper, Nora, Kinsley, Avery, Rylee, Layla, Claire, Piper, Nevaeh\"\ne6393,2014/02/24,lunch,fish and chips,Carter\ne6394,2014/02/24,dinner,tacos,Andrew\ne6398,2014/02/25,breakfast,oatmeal,\ne6399,2014/02/25,dinner,tacos,\ne6403,2014/02/26,lunch,steak,Avery\ne6404,2014/02/26,dinner,sandwich,\ne6407,2014/02/27,dinner,a burger,\ne6411,2014/02/28,breakfast,pancakes,\ne6417,2014/03/02,lunch,pasta,\ne6418,2014/03/02,dinner,pasta,Andrew\ne6422,2014/03/03,breakfast,toast and cheese,\ne6423,2014/03/03,lunch,tacos,\ne6424,2014/03/03,dinner,fish and chips,\"Rylee, Lydia, Piper, Olivia, Claire, Hazel, Eva, Avery, Kinsley, Piper\"\ne6428,2014/03/05,dinner,fish and chips,\ne6431,2014/03/06,breakfast,peanut-butter-jam,\ne6432,2014/03/06,lunch,chinese food,\ne6435,2014/03/08,breakfast,toast and cheese,\"Emily, Carter, Andrew\"\ne6436,2014/03/08,dinner,chinese food,\ne6440,2014/03/09,lunch,sandwich,\ne6441,2014/03/09,dinner,steak,\ne6444,2014/03/10,breakfast,pancakes,\ne6445,2014/03/10,dinner,pasta,\ne6448,2014/03/11,lunch,fish and chips,\"Carter, Kayden, Emily, Andrew\"\ne6453,2014/03/12,breakfast,pancakes,\ne6454,2014/03/12,lunch,indian food,\ne6457,2014/03/13,breakfast,toast and cheese,\ne6458,2014/03/13,dinner,steak,\"Layla, Kinsley, Nora, Claire, Piper, Lydia, Hazel, Nevaeh, Rylee, Piper, Olivia\"\ne6461,2014/03/14,breakfast,toast and cheese,\ne6462,2014/03/14,lunch,tacos,\"Kayden, Carter, Emily\"\ne6465,2014/03/15,breakfast,toast and cheese,\ne6466,2014/03/15,dinner,sushi,\ne6468,2014/03/16,breakfast,oatmeal,\"Avery, Lydia, Kinsley\"\ne6469,2014/03/16,lunch,a burger,Andrew\ne6470,2014/03/16,dinner,fish and chips,\ne6472,2014/03/17,dinner,indian food,Andrew\ne6476,2014/03/18,breakfast,cereals,\ne6479,2014/03/19,dinner,indian food,\ne6484,2014/03/20,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew, Emily\"\ne6486,2014/03/21,breakfast,peanut-butter-jam,\ne6490,2014/03/22,breakfast,cereals,\ne6491,2014/03/22,lunch,indian food,\ne6494,2014/03/23,lunch,a burger,\"Emily, Kayden\"\ne6495,2014/03/23,dinner,fish and chips,\"Lydia, Layla, Olivia, Piper, Hazel, Eva, Claire, Nevaeh, Kinsley, Nora, Rylee, Piper, Avery\"\ne6497,2014/03/24,lunch,pasta,\ne6500,2014/03/25,breakfast,peanut-butter-jam,\ne6501,2014/03/25,dinner,indian food,\ne6502,2014/03/26,lunch,fish and chips,\ne6503,2014/03/26,dinner,sandwich,\ne6507,2014/03/27,breakfast,\"eggs, sausages, and bread\",\ne6508,2014/03/27,dinner,sushi,\"Claire, Rylee, Nora\"\ne6511,2014/03/28,dinner,sushi,\ne6513,2014/03/29,breakfast,toast and cheese,\"Kayden, Carter\"\ne6514,2014/03/29,lunch,a burger,\"Kayden, Emily, Andrew, Carter\"\ne6515,2014/03/29,dinner,sandwich,\"Rylee, Layla, Olivia, Nevaeh, Piper, Eva\"\ne6518,2014/03/30,breakfast,\"eggs, sausages, and bread\",\ne6521,2014/03/31,lunch,sandwich,\ne6525,2014/04/01,breakfast,\"eggs, sausages, and bread\",\ne6526,2014/04/01,lunch,sandwich,\ne6527,2014/04/01,dinner,pasta,\"Rylee, Piper, Avery, Olivia, Lydia, Layla, Nevaeh\"\ne6531,2014/04/02,breakfast,pancakes,\ne6532,2014/04/02,dinner,sandwich,\ne6535,2014/04/03,lunch,steak,\ne6536,2014/04/03,dinner,indian food,\"Kayden, Andrew, Emily, Carter\"\ne6540,2014/04/04,breakfast,cereals,Andrew\ne6541,2014/04/04,lunch,fish and chips,\ne6542,2014/04/04,dinner,chinese food,Emily\ne6549,2014/04/06,breakfast,\"eggs, sausages, and bread\",Emily\ne6550,2014/04/06,dinner,pasta,\"Lydia, Hazel, Nevaeh, Avery, Rylee, Olivia, Layla, Eva\"\ne6551,2014/04/07,breakfast,cereals,\"Eva, Piper, Nevaeh\"\ne6552,2014/04/07,lunch,sushi,\"Andrew, Kayden\"\ne6553,2014/04/07,dinner,a burger,\"Jackson, Benjamin, Avery\"\ne6556,2014/04/08,lunch,a burger,\ne6557,2014/04/08,dinner,fish and chips,\ne6564,2014/04/10,lunch,sushi,\"Emily, Kayden, Carter\"\ne6565,2014/04/10,dinner,indian food,\ne6569,2014/04/11,dinner,sandwich,\"Kayden, Carter, Emily, Andrew\"\ne6572,2014/04/12,breakfast,toast and cheese,\"Carter, Andrew, Emily, Kayden\"\ne6573,2014/04/12,lunch,a burger,\ne6574,2014/04/12,dinner,indian food,\"Nevaeh, Rylee, Layla, Nora, Claire, Olivia, Kinsley, Eva, Piper\"\ne6578,2014/04/13,breakfast,cereals,\ne6579,2014/04/13,dinner,pasta,\"Nora, Avery, Rylee, Lydia, Nevaeh\"\ne6583,2014/04/14,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter\"\ne6584,2014/04/14,lunch,chinese food,\"Piper, Lydia, Nevaeh\"\ne6585,2014/04/14,dinner,chinese food,\ne6588,2014/04/15,lunch,steak,\ne6589,2014/04/15,dinner,sandwich,\ne6591,2014/04/16,breakfast,peanut-butter-jam,\ne6592,2014/04/16,dinner,sushi,\ne6599,2014/04/18,breakfast,\"eggs, sausages, and bread\",\ne6600,2014/04/18,dinner,sushi,\ne6603,2014/04/19,lunch,pasta,\"Jackson, Benjamin, Willow\"\ne6604,2014/04/19,dinner,fish and chips,\ne6607,2014/04/20,breakfast,cereals,\ne6608,2014/04/20,lunch,pasta,\"Hazel, Avery, Eva, Claire, Nora, Piper\"\ne6609,2014/04/20,dinner,pasta,\ne6614,2014/04/21,lunch,tacos,\ne6616,2014/04/22,lunch,tacos,\ne6617,2014/04/22,dinner,tacos,\ne6620,2014/04/23,lunch,pasta,\ne6621,2014/04/23,dinner,tacos,\ne6625,2014/04/24,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew, Carter\"\ne6631,2014/04/25,lunch,indian food,\ne6635,2014/04/26,dinner,pasta,\ne6639,2014/04/27,dinner,tacos,\"Carter, Emily, Andrew, Kayden\"\ne6643,2014/04/28,breakfast,pancakes,\ne6644,2014/04/28,lunch,a burger,\"Jackson, Benjamin\"\ne6645,2014/04/29,breakfast,peanut-butter-jam,\"Benjamin, Avery\"\ne6646,2014/04/29,lunch,sandwich,Emily\ne6647,2014/04/29,dinner,a burger,Emily\ne6651,2014/04/30,lunch,a burger,\ne6652,2014/04/30,dinner,sandwich,\ne6656,2014/05/01,dinner,sandwich,\ne6659,2014/05/02,dinner,chinese food,\"Benjamin, Willow, Avery, Jackson\"\ne6662,2014/05/03,breakfast,\"eggs, sausages, and bread\",Carter\ne6663,2014/05/03,lunch,sushi,Carter\ne6664,2014/05/03,dinner,indian food,\ne6667,2014/05/04,breakfast,oatmeal,\ne6669,2014/05/05,dinner,fish and chips,\ne6674,2014/05/06,lunch,chinese food,\ne6679,2014/05/07,breakfast,peanut-butter-jam,\ne6680,2014/05/07,lunch,a burger,\ne6681,2014/05/07,dinner,chinese food,\ne6684,2014/05/08,lunch,steak,\ne6685,2014/05/08,dinner,chinese food,\"Carter, Kayden, Andrew, Emily\"\ne6688,2014/05/09,breakfast,\"eggs, sausages, and bread\",\"Layla, Rylee, Eva\"\ne6689,2014/05/09,lunch,chinese food,\ne6692,2014/05/10,breakfast,pancakes,Andrew\ne6696,2014/05/11,lunch,indian food,\"Andrew, Emily, Carter, Kayden\"\ne6697,2014/05/11,dinner,a burger,\ne6700,2014/05/12,breakfast,toast and cheese,\ne6701,2014/05/12,lunch,indian food,Emily\ne6706,2014/05/13,breakfast,pancakes,\"Andrew, Kayden, Carter\"\ne6707,2014/05/13,lunch,steak,Andrew\ne6708,2014/05/13,dinner,steak,\ne6712,2014/05/14,lunch,sandwich,\ne6713,2014/05/14,dinner,sushi,\"Emily, Carter, Kayden, Andrew\"\ne6717,2014/05/15,dinner,sandwich,\"Carter, Emily, Kayden\"\ne6720,2014/05/16,breakfast,cereals,\"Emily, Carter, Kayden, Andrew\"\ne6721,2014/05/16,dinner,pasta,\ne6724,2014/05/17,breakfast,\"eggs, sausages, and bread\",\ne6725,2014/05/17,lunch,tacos,\ne6729,2014/05/18,lunch,a burger,\"Carter, Andrew\"\ne6730,2014/05/18,dinner,sushi,\ne6735,2014/05/19,dinner,sandwich,\ne6738,2014/05/20,breakfast,oatmeal,\ne6739,2014/05/20,lunch,indian food,\"Nevaeh, Olivia, Eva, Kinsley\"\ne6740,2014/05/20,dinner,fish and chips,\ne6744,2014/05/21,breakfast,pancakes,\ne6745,2014/05/21,lunch,chinese food,\ne6749,2014/05/22,dinner,indian food,\ne6752,2014/05/24,breakfast,toast and cheese,\ne6753,2014/05/24,dinner,sandwich,Hazel\ne6755,2014/05/25,breakfast,pancakes,\ne6759,2014/05/26,breakfast,toast and cheese,\ne6764,2014/05/28,breakfast,pancakes,\"Claire, Olivia, Layla, Eva\"\ne6771,2014/05/30,breakfast,\"eggs, sausages, and bread\",\ne6772,2014/05/30,lunch,sandwich,\"Carter, Emily, Kayden\"\ne6776,2014/05/31,breakfast,cereals,\"Avery, Layla, Piper, Rylee, Nevaeh, Piper, Claire, Olivia\"\ne6778,2014/06/01,lunch,sandwich,\ne6783,2014/06/02,lunch,sandwich,\"Kayden, Carter, Andrew\"\ne6784,2014/06/02,dinner,sushi,\ne6787,2014/06/03,breakfast,cereals,Kayden\ne6788,2014/06/03,dinner,fish and chips,Layla\ne6791,2014/06/04,lunch,steak,\ne6796,2014/06/05,breakfast,cereals,\ne6797,2014/06/05,lunch,sushi,\ne6801,2014/06/06,breakfast,\"eggs, sausages, and bread\",\ne6802,2014/06/06,dinner,pasta,\ne6807,2014/06/08,breakfast,cereals,\"Jackson, Avery\"\ne6811,2014/06/09,breakfast,pancakes,Emily\ne6812,2014/06/09,lunch,tacos,\ne6813,2014/06/09,dinner,tacos,\ne6817,2014/06/10,lunch,sandwich,\ne6821,2014/06/11,breakfast,pancakes,Andrew\ne6823,2014/06/12,dinner,a burger,\"Rylee, Hazel, Piper, Lydia, Olivia, Piper, Eva, Layla\"\ne6827,2014/06/13,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter\"\ne6829,2014/06/14,breakfast,\"eggs, sausages, and bread\",\ne6834,2014/06/15,breakfast,\"eggs, sausages, and bread\",\ne6835,2014/06/15,lunch,steak,\ne6840,2014/06/16,breakfast,\"eggs, sausages, and bread\",\ne6841,2014/06/16,lunch,a burger,Lydia\ne6842,2014/06/16,dinner,indian food,\ne6846,2014/06/17,breakfast,cereals,\ne6847,2014/06/17,lunch,pasta,\ne6850,2014/06/18,breakfast,\"eggs, sausages, and bread\",Emily\ne6851,2014/06/18,dinner,fish and chips,\ne6855,2014/06/19,breakfast,\"eggs, sausages, and bread\",\"Andrew, Emily, Carter, Kayden\"\ne6856,2014/06/19,lunch,indian food,\"Willow, Jackson\"\ne6857,2014/06/19,dinner,a burger,\ne6865,2014/06/21,lunch,chinese food,\"Avery, Jackson\"\ne6866,2014/06/21,dinner,chinese food,\"Piper, Piper, Nevaeh, Hazel, Eva, Nora, Olivia, Rylee\"\ne6868,2014/06/22,breakfast,cereals,Kayden\ne6869,2014/06/22,lunch,steak,\"Rylee, Kinsley, Eva, Nevaeh, Nora, Claire, Olivia, Hazel, Avery, Piper\"\ne6870,2014/06/22,dinner,a burger,\"Jackson, Avery\"\ne6873,2014/06/23,lunch,a burger,\ne6878,2014/06/25,lunch,pasta,\ne6882,2014/06/27,breakfast,peanut-butter-jam,Kayden\ne6883,2014/06/27,lunch,chinese food,\ne6885,2014/06/28,breakfast,cereals,\"Nevaeh, Kinsley, Nora, Avery, Piper, Rylee, Claire, Piper, Eva, Olivia, Lydia, Layla\"\ne6886,2014/06/28,dinner,indian food,\"Carter, Kayden, Andrew\"\ne6888,2014/06/29,lunch,fish and chips,\"Andrew, Kayden, Emily\"\ne6891,2014/06/30,breakfast,toast and cheese,\ne6892,2014/06/30,lunch,fish and chips,\"Emily, Andrew\"\ne6893,2014/06/30,dinner,indian food,\ne6896,2014/07/01,breakfast,\"eggs, sausages, and bread\",\ne6898,2014/07/02,breakfast,oatmeal,\ne6901,2014/07/03,dinner,chinese food,\ne6905,2014/07/04,breakfast,\"eggs, sausages, and bread\",\"Jackson, Avery\"\ne6906,2014/07/04,lunch,pasta,\ne6907,2014/07/04,dinner,chinese food,\"Carter, Emily, Andrew\"\ne6909,2014/07/05,breakfast,oatmeal,\ne6910,2014/07/05,lunch,indian food,Avery\ne6911,2014/07/05,dinner,a burger,\ne6912,2014/07/06,lunch,steak,\"Emily, Andrew, Kayden\"\ne6913,2014/07/06,dinner,a burger,\ne6915,2014/07/07,breakfast,oatmeal,\ne6916,2014/07/07,lunch,indian food,\"Carter, Kayden, Andrew, Emily\"\ne6917,2014/07/07,dinner,tacos,\"Kayden, Emily, Andrew\"\ne6920,2014/07/08,breakfast,\"eggs, sausages, and bread\",\ne6921,2014/07/08,lunch,sandwich,\ne6925,2014/07/09,breakfast,toast and cheese,\"Piper, Eva, Nora, Layla, Claire, Olivia, Piper\"\ne6932,2014/07/11,breakfast,toast and cheese,\ne6933,2014/07/11,lunch,chinese food,\"Kinsley, Layla\"\ne6934,2014/07/11,dinner,pasta,\ne6938,2014/07/12,dinner,sandwich,\"Avery, Benjamin, Jackson, Willow\"\ne6941,2014/07/13,breakfast,pancakes,Andrew\ne6942,2014/07/14,breakfast,pancakes,\"Avery, Jackson, Benjamin, Willow\"\ne6946,2014/07/15,breakfast,oatmeal,\ne6950,2014/07/16,lunch,steak,Carter\ne6953,2014/07/17,breakfast,cereals,\ne6954,2014/07/17,lunch,sushi,\ne6956,2014/07/18,breakfast,peanut-butter-jam,\"Rylee, Nora, Piper, Claire, Eva, Nevaeh, Piper, Hazel, Layla, Olivia\"\ne6957,2014/07/18,dinner,a burger,Andrew\ne6964,2014/07/20,breakfast,oatmeal,\ne6965,2014/07/20,lunch,a burger,\"Jackson, Benjamin, Willow, Avery\"\ne6968,2014/07/21,breakfast,toast and cheese,\"Benjamin, Jackson\"\ne6969,2014/07/21,lunch,sandwich,Andrew\ne6970,2014/07/21,dinner,pasta,\ne6974,2014/07/22,dinner,tacos,\ne6977,2014/07/24,breakfast,cereals,Benjamin\ne6978,2014/07/24,dinner,sandwich,\ne6981,2014/07/25,breakfast,oatmeal,Eva\ne6982,2014/07/25,lunch,a burger,\"Willow, Benjamin, Jackson\"\ne6984,2014/07/26,breakfast,peanut-butter-jam,\"Jackson, Willow\"\ne6985,2014/07/26,dinner,steak,Emily\ne6999,2014/07/29,lunch,fish and chips,\"Layla, Avery\"\ne7002,2014/07/30,breakfast,pancakes,\"Carter, Emily\"\ne7005,2014/07/31,lunch,tacos,\"Willow, Avery, Benjamin\"\ne7008,2014/08/01,dinner,fish and chips,\ne7014,2014/08/04,dinner,a burger,\ne7016,2014/08/05,dinner,indian food,\ne7022,2014/08/08,lunch,a burger,\ne7023,2014/08/08,dinner,indian food,\ne7028,2014/08/09,breakfast,peanut-butter-jam,\ne7033,2014/08/10,breakfast,toast and cheese,\"Kinsley, Claire, Avery, Nevaeh, Rylee, Nora, Lydia, Piper, Olivia, Piper, Eva, Hazel\"\ne7037,2014/08/11,breakfast,pancakes,\ne7038,2014/08/11,lunch,steak,\ne7039,2014/08/11,dinner,sushi,\"Benjamin, Avery, Jackson, Willow\"\ne7043,2014/08/12,lunch,steak,Willow\ne7046,2014/08/13,breakfast,toast and cheese,\"Piper, Piper\"\ne7047,2014/08/13,dinner,pasta,\"Claire, Eva, Rylee, Lydia, Hazel, Piper, Kinsley, Avery, Layla, Olivia, Piper\"\ne7050,2014/08/14,breakfast,oatmeal,\ne7051,2014/08/14,lunch,fish and chips,\ne7054,2014/08/15,dinner,steak,Avery\ne7058,2014/08/16,breakfast,pancakes,\"Andrew, Kayden, Carter, Emily\"\ne7059,2014/08/16,lunch,chinese food,Avery\ne7060,2014/08/16,dinner,steak,\ne7064,2014/08/17,lunch,tacos,\"Piper, Hazel, Kinsley, Nora, Lydia, Olivia, Eva, Claire, Piper, Nevaeh, Avery, Layla\"\ne7065,2014/08/17,dinner,pasta,\"Olivia, Lydia, Hazel, Rylee, Claire, Piper, Nora, Kinsley, Avery, Layla, Nevaeh, Piper, Eva\"\ne7066,2014/08/18,breakfast,peanut-butter-jam,\ne7067,2014/08/18,dinner,sushi,\ne7072,2014/08/19,breakfast,peanut-butter-jam,\ne7075,2014/08/20,lunch,a burger,\ne7076,2014/08/20,dinner,a burger,\ne7083,2014/08/22,breakfast,cereals,\ne7087,2014/08/23,breakfast,oatmeal,\ne7088,2014/08/23,lunch,sushi,\ne7091,2014/08/24,breakfast,oatmeal,\"Nora, Olivia, Piper, Hazel, Kinsley, Rylee\"\ne7092,2014/08/24,dinner,tacos,\ne7095,2014/08/25,breakfast,cereals,\ne7101,2014/08/26,lunch,sandwich,\"Jackson, Willow, Benjamin, Avery\"\ne7106,2014/08/27,dinner,indian food,\"Andrew, Carter\"\ne7113,2014/08/29,breakfast,cereals,\"Rylee, Piper, Kinsley, Hazel, Lydia, Layla, Eva, Nevaeh, Olivia\"\ne7114,2014/08/29,lunch,sandwich,\ne7118,2014/08/30,dinner,a burger,\ne7122,2014/08/31,lunch,fish and chips,\ne7127,2014/09/01,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter, Andrew\"\ne7128,2014/09/01,dinner,sushi,\ne7132,2014/09/02,breakfast,toast and cheese,\"Andrew, Emily\"\ne7133,2014/09/02,lunch,chinese food,\ne7134,2014/09/02,dinner,sushi,\ne7137,2014/09/03,lunch,steak,\"Kayden, Carter, Andrew\"\ne7138,2014/09/03,dinner,pasta,\ne7141,2014/09/04,breakfast,toast and cheese,\"Carter, Andrew, Kayden, Emily\"\ne7142,2014/09/04,lunch,chinese food,Kayden\ne7143,2014/09/04,dinner,sandwich,Willow\ne7148,2014/09/06,lunch,a burger,\ne7155,2014/09/09,breakfast,peanut-butter-jam,\ne7159,2014/09/10,breakfast,\"eggs, sausages, and bread\",\ne7160,2014/09/10,lunch,chinese food,\"Andrew, Kayden, Emily, Carter\"\ne7164,2014/09/11,lunch,sushi,\"Jackson, Avery, Willow, Benjamin\"\ne7167,2014/09/12,breakfast,peanut-butter-jam,\"Carter, Kayden, Andrew\"\ne7168,2014/09/12,lunch,tacos,\ne7173,2014/09/14,lunch,steak,\"Nevaeh, Piper, Olivia, Eva, Hazel, Claire, Lydia, Piper, Kinsley, Nora, Avery\"\ne7178,2014/09/15,breakfast,\"eggs, sausages, and bread\",\ne7179,2014/09/15,lunch,sandwich,\ne7180,2014/09/15,dinner,chinese food,\ne7184,2014/09/16,breakfast,\"eggs, sausages, and bread\",\ne7185,2014/09/16,lunch,tacos,\"Eva, Piper, Nora, Lydia, Layla, Rylee, Piper, Olivia, Kinsley\"\ne7186,2014/09/16,dinner,steak,\ne7189,2014/09/17,breakfast,\"eggs, sausages, and bread\",\ne7190,2014/09/17,lunch,indian food,\ne7194,2014/09/18,lunch,pasta,\"Kayden, Andrew, Carter\"\ne7197,2014/09/19,breakfast,cereals,\ne7198,2014/09/19,lunch,fish and chips,\ne7199,2014/09/19,dinner,chinese food,\ne7203,2014/09/20,breakfast,peanut-butter-jam,\ne7204,2014/09/20,lunch,indian food,\ne7206,2014/09/21,breakfast,cereals,Carter\ne7211,2014/09/22,breakfast,\"eggs, sausages, and bread\",\ne7212,2014/09/22,lunch,pasta,\ne7217,2014/09/23,dinner,pasta,\"Rylee, Layla, Nevaeh, Piper, Eva, Avery\"\ne7218,2014/09/24,breakfast,oatmeal,\"Andrew, Kayden, Emily, Carter\"\ne7219,2014/09/24,lunch,tacos,\ne7223,2014/09/25,breakfast,cereals,\"Andrew, Emily\"\ne7224,2014/09/25,lunch,fish and chips,\"Olivia, Nevaeh, Piper, Rylee, Kinsley, Piper, Eva\"\ne7228,2014/09/26,breakfast,\"eggs, sausages, and bread\",\ne7231,2014/09/27,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden\"\ne7233,2014/09/28,dinner,tacos,\"Piper, Hazel, Claire, Avery, Nora, Lydia, Eva\"\ne7236,2014/09/29,lunch,sushi,\ne7237,2014/09/29,dinner,sandwich,\ne7241,2014/09/30,breakfast,pancakes,\ne7244,2014/10/01,breakfast,cereals,\"Nevaeh, Eva, Piper\"\ne7246,2014/10/02,lunch,fish and chips,\"Nevaeh, Lydia\"\ne7247,2014/10/02,dinner,sushi,\ne7252,2014/10/04,breakfast,oatmeal,\ne7253,2014/10/04,lunch,a burger,\ne7260,2014/10/06,breakfast,pancakes,\ne7262,2014/10/07,dinner,pasta,\ne7266,2014/10/08,breakfast,\"eggs, sausages, and bread\",Piper\ne7267,2014/10/08,dinner,tacos,\ne7271,2014/10/09,breakfast,\"eggs, sausages, and bread\",\"Kayden, Carter\"\ne7272,2014/10/09,dinner,a burger,Andrew\ne7274,2014/10/10,dinner,sandwich,\ne7277,2014/10/11,dinner,chinese food,Benjamin\ne7279,2014/10/12,lunch,tacos,\ne7281,2014/10/13,lunch,fish and chips,\"Emily, Carter, Kayden, Andrew\"\ne7288,2014/10/15,breakfast,cereals,\ne7289,2014/10/15,lunch,sandwich,\ne7293,2014/10/16,breakfast,pancakes,\ne7294,2014/10/16,dinner,chinese food,\ne7297,2014/10/17,breakfast,toast and cheese,\"Nevaeh, Piper, Eva, Olivia, Claire, Lydia, Hazel, Piper\"\ne7298,2014/10/17,lunch,steak,\"Jackson, Avery, Benjamin, Willow\"\ne7302,2014/10/18,breakfast,\"eggs, sausages, and bread\",\ne7303,2014/10/18,dinner,sandwich,\ne7306,2014/10/19,breakfast,cereals,\ne7307,2014/10/19,lunch,sushi,Carter\ne7310,2014/10/20,dinner,indian food,\ne7313,2014/10/21,lunch,sushi,\ne7314,2014/10/21,dinner,steak,\ne7315,2014/10/22,breakfast,\"eggs, sausages, and bread\",\ne7316,2014/10/22,lunch,indian food,\"Avery, Piper, Claire, Piper, Layla, Olivia\"\ne7317,2014/10/22,dinner,tacos,\ne7324,2014/10/24,lunch,sandwich,\"Emily, Carter, Kayden, Andrew\"\ne7327,2014/10/25,breakfast,pancakes,\ne7328,2014/10/25,lunch,steak,\ne7329,2014/10/25,dinner,pasta,\"Andrew, Emily\"\ne7335,2014/10/27,lunch,steak,\ne7336,2014/10/27,dinner,sushi,\"Avery, Willow, Benjamin, Jackson\"\ne7341,2014/10/28,breakfast,cereals,\ne7342,2014/10/28,dinner,sandwich,\"Layla, Eva, Lydia, Piper, Avery, Nevaeh, Nora, Claire, Olivia, Hazel, Kinsley, Piper, Rylee\"\ne7345,2014/10/29,lunch,tacos,\ne7346,2014/10/29,dinner,sandwich,\ne7347,2014/10/30,breakfast,pancakes,Emily\ne7348,2014/10/30,dinner,sandwich,\"Kinsley, Avery, Layla, Lydia, Nevaeh, Claire\"\ne7352,2014/10/31,lunch,fish and chips,\"Rylee, Lydia, Olivia, Claire, Eva, Nevaeh, Layla\"\ne7358,2014/11/01,dinner,steak,\ne7362,2014/11/02,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden, Carter\"\ne7363,2014/11/02,lunch,tacos,\ne7369,2014/11/04,lunch,pasta,\ne7373,2014/11/05,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden, Carter\"\ne7380,2014/11/07,breakfast,\"eggs, sausages, and bread\",\ne7381,2014/11/07,lunch,tacos,Avery\ne7383,2014/11/08,lunch,pasta,\ne7384,2014/11/08,dinner,fish and chips,Carter\ne7387,2014/11/09,breakfast,oatmeal,\"Kayden, Emily, Carter\"\ne7388,2014/11/09,lunch,indian food,\ne7389,2014/11/09,dinner,chinese food,\"Hazel, Piper, Piper, Rylee\"\ne7392,2014/11/10,lunch,chinese food,\ne7395,2014/11/11,lunch,a burger,\ne7396,2014/11/11,dinner,a burger,\"Nora, Hazel, Kinsley, Piper, Olivia, Layla, Lydia, Eva, Nevaeh, Claire\"\ne7399,2014/11/12,breakfast,peanut-butter-jam,\ne7400,2014/11/12,dinner,chinese food,\"Carter, Andrew, Emily\"\ne7404,2014/11/13,breakfast,toast and cheese,\ne7405,2014/11/13,dinner,tacos,\ne7409,2014/11/14,lunch,sandwich,\ne7410,2014/11/14,dinner,sushi,\ne7414,2014/11/15,dinner,chinese food,\ne7418,2014/11/16,dinner,steak,\ne7421,2014/11/17,dinner,pasta,\"Carter, Kayden\"\ne7426,2014/11/18,breakfast,peanut-butter-jam,\"Kinsley, Claire, Piper, Avery, Hazel, Nora, Olivia, Lydia, Layla, Rylee, Eva, Nevaeh\"\ne7427,2014/11/18,lunch,sandwich,\ne7428,2014/11/18,dinner,chinese food,\ne7431,2014/11/19,breakfast,cereals,\ne7433,2014/11/20,dinner,pasta,\ne7435,2014/11/21,lunch,steak,\ne7439,2014/11/22,dinner,tacos,\ne7441,2014/11/23,dinner,chinese food,\ne7445,2014/11/24,breakfast,toast and cheese,\ne7448,2014/11/25,dinner,steak,\ne7454,2014/11/26,lunch,pasta,Emily\ne7455,2014/11/26,dinner,steak,\"Olivia, Layla\"\ne7459,2014/11/27,breakfast,pancakes,\"Hazel, Kinsley, Piper, Nora, Nevaeh, Rylee, Olivia, Avery, Claire, Layla\"\ne7460,2014/11/27,lunch,sushi,\ne7467,2014/11/29,breakfast,toast and cheese,\ne7468,2014/11/29,lunch,chinese food,\"Nevaeh, Piper, Lydia, Hazel, Eva, Nora, Claire, Olivia, Rylee, Kinsley, Layla, Piper, Avery\"\ne7469,2014/11/29,dinner,chinese food,\ne7472,2014/11/30,breakfast,peanut-butter-jam,\ne7473,2014/11/30,dinner,a burger,\ne7474,2014/12/01,breakfast,pancakes,\ne7475,2014/12/01,lunch,a burger,\ne7478,2014/12/02,dinner,fish and chips,\"Andrew, Carter, Kayden, Emily\"\ne7480,2014/12/03,breakfast,oatmeal,\"Piper, Claire, Rylee, Eva, Nevaeh, Lydia, Kinsley, Nora, Olivia, Piper, Hazel\"\ne7481,2014/12/03,dinner,a burger,\ne7484,2014/12/04,lunch,a burger,Andrew\ne7486,2014/12/05,breakfast,cereals,\ne7487,2014/12/05,lunch,pasta,\"Emily, Kayden, Andrew\"\ne7491,2014/12/07,breakfast,cereals,\ne7496,2014/12/09,breakfast,peanut-butter-jam,\ne7501,2014/12/10,dinner,fish and chips,\ne7505,2014/12/11,breakfast,oatmeal,\"Emily, Kayden, Carter\"\ne7508,2014/12/12,lunch,sandwich,\"Emily, Andrew\"\ne7513,2014/12/13,breakfast,toast and cheese,\ne7514,2014/12/13,dinner,fish and chips,\"Benjamin, Avery, Jackson, Willow\"\ne7518,2014/12/14,breakfast,peanut-butter-jam,\ne7519,2014/12/14,lunch,fish and chips,\ne7521,2014/12/15,lunch,sushi,\ne7522,2014/12/15,dinner,indian food,\ne7526,2014/12/16,breakfast,\"eggs, sausages, and bread\",\ne7529,2014/12/17,breakfast,cereals,\ne7530,2014/12/17,dinner,fish and chips,\ne7533,2014/12/18,lunch,chinese food,\ne7535,2014/12/19,breakfast,toast and cheese,\ne7536,2014/12/19,dinner,sushi,\"Hazel, Olivia, Nora, Piper, Piper\"\ne7539,2014/12/20,lunch,sushi,Emily\ne7540,2014/12/20,dinner,tacos,\"Olivia, Avery, Hazel, Eva, Piper\"\ne7543,2014/12/21,breakfast,peanut-butter-jam,\"Jackson, Avery, Willow\"\ne7544,2014/12/21,lunch,steak,\"Hazel, Lydia, Eva, Piper, Nora, Piper, Olivia, Nevaeh, Layla, Claire\"\ne7545,2014/12/21,dinner,indian food,Emily\ne7548,2014/12/22,lunch,a burger,\"Andrew, Kayden, Emily\"\ne7549,2014/12/22,dinner,tacos,\ne7551,2014/12/23,dinner,sandwich,Hazel\ne7552,2014/12/24,breakfast,pancakes,\ne7553,2014/12/24,dinner,steak,\ne7558,2014/12/25,breakfast,pancakes,\ne7559,2014/12/25,lunch,a burger,\ne7566,2014/12/27,dinner,tacos,\"Benjamin, Willow\"\ne7570,2014/12/28,dinner,indian food,\ne7572,2014/12/29,lunch,chinese food,\"Carter, Kayden, Emily, Andrew\"\ne7573,2014/12/29,dinner,a burger,\ne7574,2014/12/30,lunch,tacos,\"Claire, Avery, Hazel, Piper, Kinsley, Eva, Rylee, Nevaeh, Nora, Piper, Layla\"\ne7579,2014/12/31,lunch,a burger,\ne7734,2015/01/02,breakfast,pancakes,\ne7735,2015/01/02,lunch,pasta,\ne7736,2015/01/02,dinner,pasta,\ne7740,2015/01/03,dinner,steak,\ne7745,2015/01/04,breakfast,pancakes,\"Layla, Hazel, Eva, Rylee, Avery, Kinsley\"\ne7746,2015/01/04,lunch,steak,\"Carter, Andrew, Emily, Kayden\"\ne7750,2015/01/05,dinner,indian food,\"Eva, Nora\"\ne7755,2015/01/06,breakfast,peanut-butter-jam,\ne7756,2015/01/06,dinner,pasta,\ne7759,2015/01/07,breakfast,peanut-butter-jam,\ne7760,2015/01/07,lunch,fish and chips,Layla\ne7761,2015/01/07,dinner,sushi,\ne7765,2015/01/09,breakfast,cereals,Emily\ne7766,2015/01/09,lunch,fish and chips,\"Rylee, Piper, Olivia, Lydia, Nevaeh, Hazel, Layla, Nora\"\ne7771,2015/01/10,breakfast,pancakes,\ne7772,2015/01/10,lunch,pasta,\ne7773,2015/01/10,dinner,a burger,\ne7776,2015/01/11,breakfast,cereals,\"Carter, Kayden\"\ne7781,2015/01/12,lunch,tacos,\"Emily, Kayden, Carter\"\ne7785,2015/01/13,lunch,pasta,\"Jackson, Avery\"\ne7786,2015/01/13,dinner,chinese food,\ne7789,2015/01/14,dinner,steak,\ne7796,2015/01/16,breakfast,oatmeal,\"Nora, Eva, Olivia, Rylee, Nevaeh, Hazel, Kinsley, Avery\"\ne7797,2015/01/16,dinner,indian food,\ne7801,2015/01/18,breakfast,toast and cheese,\"Andrew, Carter, Kayden, Emily\"\ne7802,2015/01/18,lunch,pasta,\ne7803,2015/01/18,dinner,pasta,\"Carter, Kayden, Andrew\"\ne7804,2015/01/19,breakfast,\"eggs, sausages, and bread\",\ne7808,2015/01/20,lunch,sandwich,\"Carter, Kayden, Emily, Andrew\"\ne7809,2015/01/20,dinner,a burger,\"Kayden, Andrew\"\ne7812,2015/01/21,lunch,steak,\ne7816,2015/01/22,breakfast,pancakes,\ne7817,2015/01/22,lunch,steak,\ne7820,2015/01/23,lunch,pasta,Avery\ne7822,2015/01/24,breakfast,toast and cheese,\ne7824,2015/01/25,breakfast,toast and cheese,\ne7825,2015/01/25,dinner,sandwich,\ne7829,2015/01/26,breakfast,toast and cheese,\ne7830,2015/01/26,lunch,sandwich,\ne7831,2015/01/26,dinner,a burger,\ne7834,2015/01/27,breakfast,oatmeal,\"Carter, Andrew, Kayden, Emily\"\ne7835,2015/01/27,dinner,indian food,\ne7839,2015/01/28,breakfast,toast and cheese,\ne7840,2015/01/28,dinner,tacos,Andrew\ne7843,2015/01/29,breakfast,pancakes,\"Andrew, Carter\"\ne7844,2015/01/29,lunch,sandwich,\ne7845,2015/01/29,dinner,steak,\"Avery, Willow, Benjamin, Jackson\"\ne7849,2015/01/30,breakfast,cereals,Avery\ne7850,2015/01/30,dinner,tacos,\ne7852,2015/01/31,breakfast,toast and cheese,\"Kayden, Andrew, Emily, Carter\"\ne7855,2015/02/01,lunch,pasta,\ne7859,2015/02/02,lunch,a burger,\ne7862,2015/02/03,lunch,a burger,\ne7863,2015/02/03,dinner,tacos,\ne7867,2015/02/04,breakfast,cereals,\ne7868,2015/02/04,dinner,steak,\ne7870,2015/02/05,breakfast,cereals,\ne7871,2015/02/05,lunch,a burger,\ne7872,2015/02/05,dinner,pasta,\"Carter, Andrew, Emily\"\ne7881,2015/02/08,breakfast,pancakes,\"Rylee, Layla, Piper, Eva\"\ne7882,2015/02/08,dinner,pasta,\"Willow, Jackson\"\ne7886,2015/02/09,lunch,sushi,\ne7887,2015/02/09,dinner,sushi,\ne7890,2015/02/11,lunch,tacos,\ne7894,2015/02/12,breakfast,peanut-butter-jam,\ne7896,2015/02/13,dinner,tacos,\"Emily, Andrew, Kayden\"\ne7899,2015/02/14,breakfast,oatmeal,\"Kinsley, Eva, Piper, Nevaeh, Hazel, Claire, Avery\"\ne7905,2015/02/16,breakfast,oatmeal,\ne7910,2015/02/17,lunch,sandwich,\ne7915,2015/02/18,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew, Emily\"\ne7916,2015/02/18,dinner,tacos,\ne7920,2015/02/19,dinner,fish and chips,\ne7925,2015/02/21,dinner,sushi,\ne7929,2015/02/23,breakfast,\"eggs, sausages, and bread\",\ne7930,2015/02/23,dinner,pasta,\ne7933,2015/02/24,breakfast,\"eggs, sausages, and bread\",\ne7934,2015/02/24,lunch,sushi,\ne7935,2015/02/24,dinner,fish and chips,\"Andrew, Kayden, Carter, Emily\"\ne7942,2015/02/26,dinner,a burger,\ne7946,2015/02/27,breakfast,peanut-butter-jam,\"Carter, Kayden\"\ne7950,2015/02/28,breakfast,peanut-butter-jam,\ne7951,2015/02/28,dinner,chinese food,\ne7956,2015/03/01,breakfast,oatmeal,\"Avery, Nevaeh, Hazel, Nora, Piper, Kinsley\"\ne7957,2015/03/01,dinner,tacos,Kayden\ne7960,2015/03/02,breakfast,\"eggs, sausages, and bread\",\ne7963,2015/03/03,breakfast,peanut-butter-jam,\ne7966,2015/03/04,breakfast,cereals,\ne7967,2015/03/04,lunch,sushi,Carter\ne7968,2015/03/04,dinner,indian food,\ne7974,2015/03/06,breakfast,pancakes,\"Avery, Jackson, Willow, Benjamin\"\ne7975,2015/03/06,lunch,sushi,\ne7976,2015/03/06,dinner,indian food,\ne7979,2015/03/07,breakfast,\"eggs, sausages, and bread\",\"Lydia, Nevaeh, Kinsley, Nora, Piper\"\ne7980,2015/03/07,lunch,sushi,\"Kayden, Carter, Emily\"\ne7981,2015/03/08,breakfast,toast and cheese,\ne7982,2015/03/08,lunch,sushi,\"Kayden, Carter, Andrew, Emily\"\ne7983,2015/03/08,dinner,chinese food,\"Hazel, Eva, Layla\"\ne7987,2015/03/09,dinner,pasta,\"Avery, Benjamin, Willow, Jackson\"\ne7988,2015/03/10,lunch,chinese food,\ne7990,2015/03/11,breakfast,toast and cheese,\"Nora, Piper, Lydia, Claire, Olivia, Layla, Avery\"\ne7991,2015/03/11,dinner,sandwich,\"Layla, Lydia, Kinsley\"\ne7993,2015/03/12,lunch,steak,\ne7996,2015/03/13,dinner,sushi,\ne8000,2015/03/14,dinner,indian food,Kayden\ne8004,2015/03/15,dinner,fish and chips,\ne8006,2015/03/16,lunch,tacos,Kayden\ne8007,2015/03/16,dinner,sandwich,\ne8011,2015/03/17,breakfast,cereals,\ne8012,2015/03/17,dinner,a burger,\"Andrew, Carter, Kayden, Emily\"\ne8016,2015/03/18,lunch,fish and chips,\ne8017,2015/03/18,dinner,chinese food,Andrew\ne8021,2015/03/19,breakfast,\"eggs, sausages, and bread\",\ne8024,2015/03/21,lunch,fish and chips,\"Carter, Kayden, Emily\"\ne8028,2015/03/22,breakfast,toast and cheese,\"Rylee, Piper\"\ne8029,2015/03/22,lunch,pasta,\ne8030,2015/03/22,dinner,indian food,Jackson\ne8033,2015/03/23,lunch,a burger,\ne8034,2015/03/23,dinner,a burger,\ne8037,2015/03/24,dinner,chinese food,Layla\ne8041,2015/03/25,breakfast,oatmeal,\ne8042,2015/03/25,lunch,fish and chips,\ne8047,2015/03/26,lunch,a burger,\"Kayden, Carter\"\ne8049,2015/03/27,lunch,chinese food,\ne8051,2015/03/28,breakfast,\"eggs, sausages, and bread\",\ne8052,2015/03/28,lunch,a burger,\"Emily, Carter, Kayden\"\ne8055,2015/03/29,lunch,indian food,\"Benjamin, Jackson, Willow, Avery\"\ne8059,2015/03/30,breakfast,pancakes,\ne8060,2015/03/31,lunch,a burger,\ne8061,2015/03/31,dinner,a burger,\ne8064,2015/04/01,breakfast,oatmeal,\ne8065,2015/04/01,dinner,fish and chips,Kayden\ne8068,2015/04/02,breakfast,toast and cheese,\ne8069,2015/04/02,lunch,steak,\ne8070,2015/04/02,dinner,sushi,\"Kayden, Emily\"\ne8072,2015/04/03,breakfast,cereals,\"Emily, Carter, Kayden, Andrew\"\ne8074,2015/04/04,dinner,sushi,\ne8077,2015/04/05,lunch,fish and chips,\ne8078,2015/04/05,dinner,tacos,\ne8081,2015/04/06,lunch,sandwich,\ne8082,2015/04/06,dinner,a burger,\"Emily, Andrew, Carter\"\ne8084,2015/04/07,lunch,indian food,\"Kayden, Carter, Andrew, Emily\"\ne8087,2015/04/08,breakfast,cereals,\ne8088,2015/04/08,lunch,sandwich,\"Kayden, Emily, Carter\"\ne8091,2015/04/09,breakfast,\"eggs, sausages, and bread\",\ne8092,2015/04/09,dinner,sandwich,\ne8095,2015/04/11,breakfast,toast and cheese,\"Carter, Andrew\"\ne8096,2015/04/11,lunch,sandwich,\ne8097,2015/04/11,dinner,a burger,\"Emily, Kayden, Andrew\"\ne8100,2015/04/12,lunch,chinese food,\"Carter, Kayden, Emily\"\ne8101,2015/04/12,dinner,a burger,\ne8102,2015/04/13,breakfast,\"eggs, sausages, and bread\",\ne8103,2015/04/13,lunch,sandwich,\ne8107,2015/04/14,breakfast,pancakes,\ne8108,2015/04/14,lunch,sandwich,\ne8110,2015/04/15,breakfast,toast and cheese,\"Kayden, Carter\"\ne8111,2015/04/15,dinner,sushi,\"Eva, Nora, Piper, Claire\"\ne8113,2015/04/16,dinner,steak,\ne8115,2015/04/17,lunch,chinese food,Avery\ne8116,2015/04/17,dinner,sandwich,Kayden\ne8120,2015/04/18,breakfast,oatmeal,\ne8121,2015/04/18,dinner,pasta,\"Carter, Andrew, Emily, Kayden\"\ne8125,2015/04/19,breakfast,cereals,\"Benjamin, Willow, Jackson, Avery\"\ne8126,2015/04/19,lunch,a burger,\"Kayden, Emily, Carter\"\ne8130,2015/04/20,lunch,chinese food,Carter\ne8133,2015/04/21,breakfast,pancakes,\ne8134,2015/04/21,lunch,pasta,Andrew\ne8136,2015/04/22,breakfast,toast and cheese,\ne8137,2015/04/22,lunch,pasta,\ne8139,2015/04/23,breakfast,pancakes,\"Andrew, Emily\"\ne8140,2015/04/23,lunch,fish and chips,\ne8144,2015/04/24,breakfast,peanut-butter-jam,\"Jackson, Benjamin, Avery, Willow\"\ne8145,2015/04/24,dinner,steak,\ne8148,2015/04/25,breakfast,pancakes,\"Andrew, Carter, Kayden, Emily\"\ne8151,2015/04/26,breakfast,cereals,\ne8152,2015/04/26,lunch,steak,\"Layla, Nora, Rylee, Piper, Avery\"\ne8153,2015/04/26,dinner,fish and chips,\ne8156,2015/04/27,lunch,tacos,\ne8157,2015/04/27,dinner,indian food,\ne8158,2015/04/28,breakfast,oatmeal,\ne8159,2015/04/28,lunch,indian food,\"Jackson, Avery, Willow\"\ne8162,2015/04/29,lunch,fish and chips,\ne8165,2015/04/30,dinner,sushi,\ne8167,2015/05/01,breakfast,peanut-butter-jam,Carter\ne8168,2015/05/01,lunch,indian food,\ne8170,2015/05/02,lunch,fish and chips,Willow\ne8174,2015/05/04,dinner,chinese food,Andrew\ne8176,2015/05/05,dinner,sushi,\"Kayden, Andrew, Carter\"\ne8179,2015/05/06,dinner,pasta,\ne8182,2015/05/07,breakfast,toast and cheese,\ne8183,2015/05/07,dinner,sushi,\"Lydia, Eva, Rylee, Hazel, Claire, Piper, Layla, Kinsley, Piper, Avery, Nevaeh\"\ne8187,2015/05/08,lunch,sandwich,\ne8188,2015/05/08,dinner,steak,\ne8192,2015/05/09,breakfast,\"eggs, sausages, and bread\",\"Andrew, Carter\"\ne8193,2015/05/09,lunch,chinese food,\ne8197,2015/05/10,breakfast,toast and cheese,\ne8198,2015/05/10,lunch,fish and chips,\"Benjamin, Avery\"\ne8201,2015/05/11,dinner,sandwich,\ne8205,2015/05/12,dinner,tacos,\"Avery, Rylee, Hazel, Layla, Piper, Lydia, Nora, Kinsley, Eva, Piper, Olivia, Nevaeh, Claire\"\ne8212,2015/05/14,breakfast,\"eggs, sausages, and bread\",\"Jackson, Benjamin\"\ne8216,2015/05/15,dinner,chinese food,\ne8220,2015/05/16,breakfast,peanut-butter-jam,\ne8221,2015/05/16,lunch,sandwich,\"Olivia, Nevaeh, Hazel, Kinsley\"\ne8224,2015/05/17,breakfast,pancakes,\ne8225,2015/05/17,lunch,steak,\ne8228,2015/05/18,dinner,sandwich,\"Layla, Nora, Piper, Nevaeh, Rylee, Avery, Olivia, Claire, Hazel, Piper, Kinsley, Eva\"\ne8232,2015/05/19,breakfast,toast and cheese,\ne8233,2015/05/19,lunch,a burger,\ne8234,2015/05/19,dinner,steak,\ne8237,2015/05/20,breakfast,pancakes,\"Carter, Andrew\"\ne8242,2015/05/21,breakfast,toast and cheese,\ne8243,2015/05/21,lunch,indian food,\ne8244,2015/05/21,dinner,a burger,\"Kayden, Carter, Andrew, Emily\"\ne8249,2015/05/22,lunch,chinese food,\"Andrew, Carter, Emily\"\ne8250,2015/05/22,dinner,indian food,\"Emily, Carter, Kayden, Andrew\"\ne8252,2015/05/23,breakfast,peanut-butter-jam,\ne8253,2015/05/23,lunch,fish and chips,\ne8254,2015/05/23,dinner,sushi,\"Olivia, Piper, Eva, Hazel, Avery, Nora, Nevaeh, Kinsley\"\ne8256,2015/05/24,breakfast,oatmeal,Emily\ne8257,2015/05/24,dinner,sushi,\ne8262,2015/05/26,breakfast,peanut-butter-jam,\ne8263,2015/05/26,lunch,tacos,\ne8267,2015/05/27,breakfast,cereals,\ne8268,2015/05/27,dinner,tacos,\ne8272,2015/05/28,breakfast,\"eggs, sausages, and bread\",\ne8273,2015/05/28,dinner,pasta,\ne8276,2015/05/29,breakfast,toast and cheese,\ne8280,2015/05/30,breakfast,toast and cheese,\"Carter, Andrew\"\ne8281,2015/05/30,dinner,fish and chips,Benjamin\ne8283,2015/05/31,lunch,tacos,\"Olivia, Layla, Eva, Avery, Piper, Nora, Kinsley, Rylee\"\ne8288,2015/06/01,lunch,sushi,\ne8289,2015/06/01,dinner,a burger,\ne8294,2015/06/02,breakfast,oatmeal,\ne8295,2015/06/02,lunch,pasta,\ne8296,2015/06/02,dinner,a burger,\ne8300,2015/06/04,lunch,steak,\ne8303,2015/06/05,breakfast,peanut-butter-jam,\ne8304,2015/06/05,lunch,fish and chips,Emily\ne8310,2015/06/07,lunch,pasta,\"Andrew, Emily, Carter\"\ne8315,2015/06/08,dinner,fish and chips,\ne8320,2015/06/09,dinner,indian food,\ne8325,2015/06/10,breakfast,cereals,\ne8326,2015/06/10,lunch,indian food,\"Carter, Andrew, Kayden\"\ne8327,2015/06/11,lunch,chinese food,\ne8330,2015/06/12,lunch,tacos,\ne8331,2015/06/12,dinner,sushi,\ne8335,2015/06/13,breakfast,pancakes,\"Benjamin, Jackson\"\ne8338,2015/06/14,breakfast,pancakes,\ne8339,2015/06/14,dinner,sushi,\"Olivia, Layla, Avery, Claire, Eva, Nevaeh, Rylee\"\ne8341,2015/06/15,lunch,tacos,\"Emily, Kayden\"\ne8346,2015/06/16,breakfast,\"eggs, sausages, and bread\",\ne8347,2015/06/16,lunch,chinese food,\ne8348,2015/06/16,dinner,pasta,\ne8351,2015/06/17,lunch,steak,\ne8352,2015/06/17,dinner,sandwich,\ne8356,2015/06/18,dinner,fish and chips,Emily\ne8359,2015/06/19,breakfast,pancakes,Kayden\ne8360,2015/06/19,lunch,tacos,\"Benjamin, Willow, Jackson\"\ne8361,2015/06/19,dinner,indian food,\ne8365,2015/06/20,breakfast,pancakes,\ne8366,2015/06/20,lunch,fish and chips,\"Emily, Carter, Kayden\"\ne8370,2015/06/21,dinner,sandwich,\ne8375,2015/06/22,lunch,sandwich,\"Avery, Willow, Jackson, Benjamin\"\ne8377,2015/06/23,breakfast,\"eggs, sausages, and bread\",\ne8378,2015/06/23,lunch,a burger,\ne8379,2015/06/23,dinner,a burger,\ne8387,2015/06/26,breakfast,peanut-butter-jam,\ne8388,2015/06/26,dinner,tacos,\"Andrew, Carter, Emily\"\ne8393,2015/06/27,dinner,tacos,\"Hazel, Olivia, Claire, Nora, Eva, Piper, Layla, Piper, Avery, Lydia\"\ne8396,2015/06/28,lunch,pasta,\"Kayden, Emily, Carter, Andrew\"\ne8400,2015/06/29,breakfast,cereals,\ne8401,2015/06/29,lunch,sushi,\ne8402,2015/06/30,breakfast,pancakes,\ne8406,2015/07/02,breakfast,\"eggs, sausages, and bread\",\ne8407,2015/07/02,lunch,fish and chips,\ne8408,2015/07/02,dinner,a burger,\ne8411,2015/07/03,breakfast,peanut-butter-jam,\"Eva, Lydia, Kinsley, Layla, Nevaeh\"\ne8412,2015/07/03,dinner,a burger,Kayden\ne8418,2015/07/05,breakfast,peanut-butter-jam,\ne8419,2015/07/05,dinner,indian food,\ne8422,2015/07/06,breakfast,\"eggs, sausages, and bread\",\ne8425,2015/07/08,lunch,steak,\ne8426,2015/07/08,dinner,a burger,\"Lydia, Nevaeh, Nora, Piper, Hazel, Olivia, Piper, Avery, Rylee, Kinsley, Eva\"\ne8429,2015/07/09,breakfast,\"eggs, sausages, and bread\",\ne8434,2015/07/10,lunch,steak,\ne8435,2015/07/10,dinner,tacos,\"Claire, Nora, Kinsley, Nevaeh, Piper, Rylee, Piper, Eva, Layla, Lydia, Avery, Hazel\"\ne8441,2015/07/11,dinner,fish and chips,\"Avery, Jackson, Willow\"\ne8445,2015/07/12,breakfast,toast and cheese,\ne8446,2015/07/12,lunch,fish and chips,\ne8447,2015/07/12,dinner,indian food,\ne8449,2015/07/13,breakfast,pancakes,\ne8450,2015/07/13,lunch,chinese food,\"Avery, Benjamin, Willow, Jackson\"\ne8452,2015/07/14,lunch,indian food,\ne8453,2015/07/14,dinner,steak,\ne8458,2015/07/15,lunch,a burger,\ne8460,2015/07/16,breakfast,\"eggs, sausages, and bread\",\ne8461,2015/07/16,lunch,tacos,\"Kayden, Emily\"\ne8462,2015/07/16,dinner,a burger,\ne8466,2015/07/17,dinner,a burger,\"Kayden, Carter, Emily, Andrew\"\ne8470,2015/07/18,breakfast,pancakes,\ne8471,2015/07/18,lunch,chinese food,\ne8474,2015/07/19,lunch,a burger,\"Avery, Nevaeh, Piper\"\ne8478,2015/07/20,lunch,indian food,\ne8479,2015/07/20,dinner,pasta,\ne8485,2015/07/22,dinner,tacos,\"Avery, Kinsley, Claire, Rylee, Layla, Eva\"\ne8490,2015/07/23,breakfast,\"eggs, sausages, and bread\",\ne8491,2015/07/23,lunch,indian food,\"Eva, Layla, Avery, Nevaeh, Claire, Rylee, Lydia, Kinsley, Piper, Olivia\"\ne8492,2015/07/23,dinner,sandwich,\ne8496,2015/07/24,breakfast,toast and cheese,Carter\ne8497,2015/07/24,lunch,sushi,\ne8499,2015/07/25,breakfast,cereals,\"Andrew, Emily, Carter, Kayden\"\ne8505,2015/07/26,breakfast,oatmeal,\ne8506,2015/07/26,dinner,indian food,\ne8510,2015/07/27,breakfast,toast and cheese,\"Benjamin, Willow\"\ne8511,2015/07/27,lunch,a burger,\ne8513,2015/07/28,breakfast,oatmeal,\ne8518,2015/07/30,dinner,sandwich,\"Avery, Benjamin\"\ne8521,2015/07/31,dinner,chinese food,\ne8525,2015/08/01,breakfast,pancakes,\"Avery, Benjamin, Willow\"\ne8526,2015/08/01,lunch,sandwich,\"Layla, Hazel, Piper, Eva, Lydia, Avery, Olivia\"\ne8527,2015/08/01,dinner,pasta,\ne8533,2015/08/03,lunch,fish and chips,\"Kayden, Emily, Andrew\"\ne8535,2015/08/04,breakfast,pancakes,\ne8536,2015/08/04,lunch,tacos,\ne8537,2015/08/04,dinner,steak,\ne8541,2015/08/05,breakfast,oatmeal,\"Emily, Andrew\"\ne8542,2015/08/05,lunch,tacos,\"Piper, Olivia, Eva, Kinsley, Rylee, Hazel, Lydia, Avery, Claire\"\ne8544,2015/08/06,breakfast,peanut-butter-jam,\ne8545,2015/08/06,lunch,sushi,\"Kayden, Carter, Andrew, Emily\"\ne8549,2015/08/07,lunch,chinese food,\ne8550,2015/08/07,dinner,tacos,\ne8553,2015/08/08,lunch,sushi,\ne8554,2015/08/09,breakfast,toast and cheese,\ne8555,2015/08/09,dinner,steak,\ne8561,2015/08/11,lunch,tacos,\"Kayden, Andrew, Carter\"\ne8565,2015/08/12,breakfast,toast and cheese,\"Claire, Avery, Eva\"\ne8566,2015/08/12,dinner,chinese food,\ne8568,2015/08/13,breakfast,pancakes,\"Andrew, Carter, Emily\"\ne8569,2015/08/13,lunch,a burger,\ne8570,2015/08/13,dinner,sandwich,\ne8573,2015/08/14,lunch,steak,\ne8575,2015/08/15,breakfast,oatmeal,\"Piper, Avery, Nora, Claire, Rylee, Olivia\"\ne8576,2015/08/15,lunch,indian food,\ne8577,2015/08/15,dinner,sandwich,\"Kayden, Andrew, Carter\"\ne8580,2015/08/16,dinner,fish and chips,\ne8584,2015/08/17,breakfast,\"eggs, sausages, and bread\",\ne8585,2015/08/17,lunch,fish and chips,\"Andrew, Kayden, Emily\"\ne8588,2015/08/18,breakfast,peanut-butter-jam,\ne8589,2015/08/18,lunch,indian food,\ne8592,2015/08/19,breakfast,\"eggs, sausages, and bread\",\ne8593,2015/08/19,lunch,a burger,\ne8594,2015/08/19,dinner,sushi,\"Andrew, Carter\"\ne8596,2015/08/20,breakfast,toast and cheese,\"Benjamin, Avery, Jackson\"\ne8597,2015/08/20,lunch,pasta,\ne8598,2015/08/20,dinner,tacos,\"Piper, Avery, Olivia, Kinsley, Hazel, Rylee, Nevaeh, Layla, Eva, Nora, Piper\"\ne8601,2015/08/21,lunch,steak,Kayden\ne8605,2015/08/22,breakfast,peanut-butter-jam,\"Emily, Andrew\"\ne8607,2015/08/23,breakfast,oatmeal,\ne8608,2015/08/23,lunch,sandwich,\ne8611,2015/08/24,lunch,steak,\"Avery, Benjamin, Willow\"\ne8616,2015/08/25,lunch,fish and chips,\"Piper, Lydia, Claire, Nevaeh\"\ne8620,2015/08/26,lunch,sandwich,\ne8621,2015/08/26,dinner,indian food,\ne8626,2015/08/27,breakfast,\"eggs, sausages, and bread\",\"Eva, Rylee, Lydia, Nevaeh, Piper, Claire, Avery, Piper, Nora, Hazel, Layla, Olivia, Kinsley\"\ne8627,2015/08/27,dinner,tacos,\ne8629,2015/08/28,breakfast,oatmeal,\ne8640,2015/08/31,breakfast,toast and cheese,\ne8644,2015/09/01,lunch,fish and chips,\"Kayden, Andrew\"\ne8646,2015/09/02,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden, Carter, Emily\"\ne8647,2015/09/02,dinner,chinese food,\ne8650,2015/09/03,breakfast,cereals,\"Nora, Rylee, Piper, Claire\"\ne8651,2015/09/03,lunch,chinese food,\ne8654,2015/09/04,breakfast,toast and cheese,\ne8655,2015/09/04,dinner,pasta,\ne8657,2015/09/05,breakfast,\"eggs, sausages, and bread\",\ne8658,2015/09/05,lunch,sandwich,Emily\ne8659,2015/09/05,dinner,steak,\ne8663,2015/09/06,breakfast,toast and cheese,\ne8664,2015/09/06,dinner,sandwich,\ne8667,2015/09/07,breakfast,peanut-butter-jam,\ne8668,2015/09/07,dinner,fish and chips,\ne8673,2015/09/08,dinner,steak,\"Emily, Carter, Kayden\"\ne8674,2015/09/09,breakfast,toast and cheese,\"Nevaeh, Piper, Lydia, Olivia, Claire, Avery, Layla\"\ne8675,2015/09/09,lunch,indian food,\"Rylee, Lydia, Piper, Avery, Eva, Layla, Olivia, Nora, Hazel, Claire, Piper, Kinsley, Nevaeh\"\ne8676,2015/09/09,dinner,a burger,Kayden\ne8681,2015/09/10,breakfast,toast and cheese,\ne8682,2015/09/10,lunch,tacos,\ne8683,2015/09/10,dinner,tacos,\ne8686,2015/09/11,breakfast,\"eggs, sausages, and bread\",\ne8690,2015/09/12,breakfast,cereals,\ne8691,2015/09/12,lunch,indian food,\ne8692,2015/09/12,dinner,fish and chips,\ne8697,2015/09/14,breakfast,\"eggs, sausages, and bread\",\ne8700,2015/09/15,lunch,steak,\"Eva, Lydia, Kinsley, Layla, Piper, Piper, Nevaeh, Olivia, Rylee, Nora\"\ne8704,2015/09/16,breakfast,pancakes,\"Carter, Emily\"\ne8707,2015/09/17,dinner,a burger,\ne8711,2015/09/18,lunch,indian food,\ne8716,2015/09/19,breakfast,peanut-butter-jam,\ne8717,2015/09/19,lunch,indian food,Emily\ne8718,2015/09/19,dinner,fish and chips,\"Kayden, Emily, Carter\"\ne8722,2015/09/20,breakfast,cereals,\ne8723,2015/09/20,dinner,a burger,\ne8725,2015/09/21,breakfast,toast and cheese,\ne8726,2015/09/21,lunch,tacos,\ne8727,2015/09/21,dinner,tacos,\ne8733,2015/09/23,lunch,fish and chips,Kayden\ne8734,2015/09/23,dinner,pasta,\ne8736,2015/09/24,breakfast,oatmeal,\ne8737,2015/09/24,dinner,pasta,\"Nevaeh, Claire\"\ne8740,2015/09/26,dinner,tacos,\"Kinsley, Olivia, Layla\"\ne8743,2015/09/27,breakfast,pancakes,\ne8744,2015/09/27,lunch,steak,\"Benjamin, Jackson, Avery\"\ne8748,2015/09/28,lunch,indian food,\ne8749,2015/09/28,dinner,pasta,\ne8751,2015/09/29,dinner,sandwich,\ne8756,2015/09/30,lunch,steak,\ne8759,2015/10/01,breakfast,cereals,\"Emily, Kayden, Carter, Andrew\"\ne8760,2015/10/02,lunch,sushi,Willow\ne8761,2015/10/02,dinner,tacos,\ne8765,2015/10/04,lunch,a burger,\ne8768,2015/10/05,breakfast,oatmeal,Emily\ne8772,2015/10/06,lunch,indian food,\ne8774,2015/10/07,lunch,sushi,\ne8778,2015/10/08,breakfast,\"eggs, sausages, and bread\",\ne8784,2015/10/10,lunch,tacos,\"Andrew, Kayden, Carter\"\ne8790,2015/10/11,breakfast,\"eggs, sausages, and bread\",\ne8791,2015/10/11,lunch,sushi,\"Willow, Benjamin, Jackson, Avery\"\ne8792,2015/10/11,dinner,a burger,\ne8795,2015/10/12,dinner,pasta,\"Emily, Andrew, Kayden\"\ne8799,2015/10/13,lunch,a burger,Andrew\ne8800,2015/10/13,dinner,sushi,\ne8803,2015/10/14,dinner,indian food,\ne8809,2015/10/15,lunch,sandwich,\ne8810,2015/10/15,dinner,tacos,\"Kinsley, Hazel, Eva, Olivia, Lydia, Avery, Piper, Layla, Nevaeh, Rylee\"\ne8815,2015/10/16,dinner,a burger,\ne8818,2015/10/17,lunch,fish and chips,\ne8822,2015/10/18,breakfast,peanut-butter-jam,\ne8829,2015/10/21,dinner,steak,\ne8831,2015/10/22,dinner,pasta,\ne8834,2015/10/23,dinner,chinese food,\ne8837,2015/10/24,breakfast,peanut-butter-jam,\ne8838,2015/10/24,dinner,sushi,\ne8840,2015/10/25,breakfast,toast and cheese,\ne8841,2015/10/25,dinner,chinese food,\"Kayden, Carter\"\ne8844,2015/10/26,dinner,chinese food,\ne8848,2015/10/27,breakfast,toast and cheese,\ne8849,2015/10/27,lunch,sushi,\ne8850,2015/10/27,dinner,chinese food,\ne8853,2015/10/28,breakfast,oatmeal,\ne8857,2015/10/30,dinner,steak,\ne8861,2015/10/31,lunch,fish and chips,\ne8864,2015/11/01,breakfast,oatmeal,\ne8866,2015/11/02,lunch,chinese food,\ne8868,2015/11/03,breakfast,pancakes,Emily\ne8869,2015/11/03,lunch,tacos,\ne8870,2015/11/03,dinner,chinese food,\ne8874,2015/11/04,breakfast,peanut-butter-jam,\ne8878,2015/11/05,breakfast,oatmeal,\"Kinsley, Claire, Avery, Olivia, Piper, Hazel\"\ne8879,2015/11/05,dinner,sushi,\ne8882,2015/11/06,breakfast,toast and cheese,\"Jackson, Avery, Willow\"\ne8883,2015/11/06,dinner,sushi,\ne8886,2015/11/07,breakfast,cereals,\ne8887,2015/11/07,lunch,chinese food,\ne8890,2015/11/08,lunch,a burger,\ne8891,2015/11/08,dinner,a burger,\"Eva, Piper\"\ne8895,2015/11/09,breakfast,pancakes,\"Avery, Olivia, Hazel, Layla, Claire, Rylee, Lydia, Nora, Piper\"\ne8898,2015/11/10,lunch,pasta,\ne8900,2015/11/11,breakfast,toast and cheese,\ne8901,2015/11/11,lunch,pasta,\"Kayden, Carter, Andrew\"\ne8902,2015/11/11,dinner,sushi,\ne8903,2015/11/12,breakfast,oatmeal,\ne8908,2015/11/13,breakfast,toast and cheese,\"Nevaeh, Hazel, Nora, Avery, Rylee, Piper, Lydia\"\ne8912,2015/11/14,lunch,tacos,Jackson\ne8913,2015/11/14,dinner,pasta,\"Rylee, Hazel, Piper, Eva, Nora, Layla, Kinsley, Piper\"\ne8917,2015/11/15,breakfast,\"eggs, sausages, and bread\",\ne8918,2015/11/15,dinner,sandwich,\ne8923,2015/11/17,dinner,sandwich,\"Eva, Lydia, Rylee, Avery, Layla, Piper, Claire\"\ne8926,2015/11/18,lunch,indian food,\ne8931,2015/11/19,breakfast,toast and cheese,Andrew\ne8933,2015/11/20,breakfast,oatmeal,\"Andrew, Kayden, Emily, Carter\"\ne8934,2015/11/20,lunch,a burger,\ne8939,2015/11/21,lunch,tacos,\ne8949,2015/11/24,lunch,fish and chips,Jackson\ne8950,2015/11/24,dinner,pasta,\ne8955,2015/11/25,dinner,indian food,\"Emily, Kayden, Carter, Andrew\"\ne8958,2015/11/27,breakfast,pancakes,\"Nora, Kinsley, Eva, Olivia, Hazel, Piper, Nevaeh, Avery, Layla\"\ne8959,2015/11/27,dinner,a burger,\ne8961,2015/11/28,breakfast,pancakes,\"Kayden, Emily, Carter\"\ne8962,2015/11/28,lunch,chinese food,\ne8963,2015/11/28,dinner,sushi,\"Andrew, Carter, Emily, Kayden\"\ne8967,2015/11/29,lunch,tacos,\ne8968,2015/11/29,dinner,chinese food,\ne8971,2015/11/30,breakfast,cereals,\ne8973,2015/12/01,lunch,pasta,\"Kayden, Emily, Andrew, Carter\"\ne8978,2015/12/02,dinner,chinese food,\"Kayden, Carter\"\ne8980,2015/12/03,breakfast,pancakes,\"Emily, Kayden, Andrew, Carter\"\ne8981,2015/12/03,dinner,fish and chips,\ne8984,2015/12/04,dinner,steak,\ne8989,2015/12/05,breakfast,peanut-butter-jam,\ne8990,2015/12/05,lunch,steak,\ne8993,2015/12/06,lunch,indian food,Carter\ne8997,2015/12/07,breakfast,\"eggs, sausages, and bread\",\ne8998,2015/12/07,lunch,a burger,\ne9002,2015/12/08,breakfast,toast and cheese,\ne9003,2015/12/08,dinner,pasta,\ne9007,2015/12/09,breakfast,pancakes,\"Lydia, Olivia, Hazel, Nevaeh, Piper, Avery, Piper\"\ne9008,2015/12/09,dinner,pasta,\ne9012,2015/12/10,dinner,tacos,\ne9015,2015/12/11,lunch,tacos,\ne9017,2015/12/13,breakfast,peanut-butter-jam,Emily\ne9020,2015/12/14,lunch,sandwich,\"Hazel, Olivia, Claire, Nevaeh, Nora, Rylee, Kinsley, Piper, Avery, Layla, Eva\"\ne9025,2015/12/15,breakfast,pancakes,\ne9026,2015/12/15,dinner,pasta,\ne9029,2015/12/16,breakfast,pancakes,Carter\ne9032,2015/12/17,dinner,pasta,\ne9033,2015/12/18,breakfast,toast and cheese,\"Jackson, Benjamin\"\ne9034,2015/12/18,dinner,steak,\ne9039,2015/12/20,breakfast,pancakes,Willow\ne9040,2015/12/20,lunch,a burger,\ne9041,2015/12/20,dinner,pasta,\ne9044,2015/12/22,lunch,a burger,\"Emily, Andrew\"\ne9045,2015/12/22,dinner,fish and chips,\"Kayden, Andrew, Emily\"\ne9050,2015/12/23,breakfast,cereals,\ne9051,2015/12/23,lunch,fish and chips,\"Carter, Andrew\"\ne9054,2015/12/24,breakfast,\"eggs, sausages, and bread\",\ne9057,2015/12/25,breakfast,toast and cheese,\ne9058,2015/12/25,lunch,steak,\"Jackson, Willow, Avery, Benjamin\"\ne9059,2015/12/25,dinner,fish and chips,\"Olivia, Piper, Avery, Nora\"\ne9063,2015/12/26,breakfast,cereals,\ne9064,2015/12/26,dinner,sandwich,\"Olivia, Nora, Piper, Avery, Rylee, Hazel\"\ne9066,2015/12/27,breakfast,peanut-butter-jam,\"Avery, Jackson\"\ne9067,2015/12/27,dinner,chinese food,\"Willow, Avery, Benjamin, Jackson\"\ne9070,2015/12/28,breakfast,oatmeal,\ne9071,2015/12/28,lunch,indian food,\ne9072,2015/12/28,dinner,tacos,\ne9077,2015/12/29,lunch,indian food,\ne9078,2015/12/30,breakfast,peanut-butter-jam,\ne9079,2015/12/30,lunch,pasta,\ne9080,2015/12/30,dinner,steak,\ne9083,2015/12/31,breakfast,pancakes,\"Emily, Kayden, Andrew\"\ne9084,2015/12/31,lunch,sandwich,\"Nevaeh, Claire, Piper, Avery, Nora, Lydia, Hazel, Kinsley, Piper\"\ne9232,2016/01/01,breakfast,\"eggs, sausages, and bread\",\ne9233,2016/01/01,lunch,a burger,\"Avery, Jackson\"\ne9234,2016/01/01,dinner,pasta,Kayden\ne9238,2016/01/03,dinner,steak,\"Kayden, Emily, Andrew\"\ne9242,2016/01/05,breakfast,cereals,\ne9243,2016/01/05,dinner,fish and chips,\ne9246,2016/01/06,breakfast,toast and cheese,\ne9247,2016/01/06,dinner,indian food,\ne9251,2016/01/07,breakfast,toast and cheese,\ne9252,2016/01/07,lunch,a burger,\ne9256,2016/01/08,breakfast,peanut-butter-jam,\"Benjamin, Avery, Willow\"\ne9257,2016/01/08,lunch,indian food,Willow\ne9259,2016/01/09,breakfast,peanut-butter-jam,\"Avery, Willow, Benjamin\"\ne9260,2016/01/09,lunch,a burger,\ne9261,2016/01/09,dinner,chinese food,\"Lydia, Hazel, Kinsley, Nevaeh, Nora, Avery, Rylee\"\ne9263,2016/01/10,lunch,steak,\ne9264,2016/01/10,dinner,chinese food,Emily\ne9266,2016/01/11,dinner,indian food,\ne9268,2016/01/12,lunch,tacos,\"Benjamin, Willow, Avery, Jackson\"\ne9272,2016/01/13,lunch,tacos,Emily\ne9273,2016/01/13,dinner,fish and chips,\ne9275,2016/01/14,breakfast,oatmeal,\ne9276,2016/01/14,lunch,steak,\ne9277,2016/01/15,breakfast,peanut-butter-jam,\ne9278,2016/01/15,dinner,chinese food,\ne9283,2016/01/16,breakfast,toast and cheese,\ne9286,2016/01/17,dinner,chinese food,\ne9290,2016/01/19,lunch,steak,\ne9297,2016/01/21,breakfast,toast and cheese,\ne9298,2016/01/21,lunch,pasta,\ne9299,2016/01/21,dinner,sandwich,\ne9302,2016/01/22,breakfast,pancakes,\ne9303,2016/01/22,lunch,indian food,\"Olivia, Lydia, Hazel, Rylee, Kinsley, Layla, Nora, Avery, Piper, Eva, Nevaeh, Claire\"\ne9304,2016/01/22,dinner,chinese food,\"Kayden, Andrew\"\ne9307,2016/01/23,breakfast,cereals,\"Hazel, Eva, Piper\"\ne9308,2016/01/23,dinner,a burger,\ne9310,2016/01/24,breakfast,toast and cheese,\ne9311,2016/01/24,lunch,a burger,\ne9313,2016/01/25,breakfast,toast and cheese,\"Claire, Piper\"\ne9321,2016/01/27,breakfast,cereals,\"Claire, Piper, Nevaeh, Avery\"\ne9322,2016/01/27,lunch,sushi,Emily\ne9325,2016/01/28,breakfast,pancakes,\"Emily, Andrew, Kayden, Carter\"\ne9326,2016/01/28,lunch,tacos,\"Nevaeh, Piper, Nora\"\ne9329,2016/01/29,breakfast,peanut-butter-jam,\"Carter, Andrew, Kayden, Emily\"\ne9330,2016/01/29,lunch,sandwich,\ne9331,2016/01/29,dinner,a burger,\ne9336,2016/01/30,breakfast,\"eggs, sausages, and bread\",\ne9337,2016/01/30,lunch,sushi,\ne9338,2016/01/30,dinner,sushi,\ne9342,2016/01/31,dinner,chinese food,\"Benjamin, Willow, Jackson\"\ne9345,2016/02/01,lunch,a burger,\ne9346,2016/02/01,dinner,chinese food,\"Nora, Piper, Olivia, Lydia, Nevaeh, Piper, Hazel, Eva, Kinsley, Claire, Layla, Rylee\"\ne9348,2016/02/02,dinner,sandwich,\ne9352,2016/02/03,lunch,a burger,\ne9353,2016/02/03,dinner,a burger,\ne9358,2016/02/04,breakfast,\"eggs, sausages, and bread\",\ne9359,2016/02/04,lunch,a burger,\ne9360,2016/02/04,dinner,fish and chips,\ne9363,2016/02/05,lunch,fish and chips,\ne9364,2016/02/05,dinner,chinese food,\ne9366,2016/02/06,breakfast,toast and cheese,\ne9369,2016/02/07,breakfast,pancakes,\ne9370,2016/02/07,lunch,tacos,\"Rylee, Piper, Claire, Layla, Olivia, Nevaeh, Kinsley, Lydia, Avery, Hazel\"\ne9374,2016/02/08,dinner,steak,Emily\ne9379,2016/02/09,lunch,tacos,\"Hazel, Olivia, Avery, Nevaeh, Nora, Layla, Lydia, Piper, Rylee, Eva, Claire, Kinsley, Piper\"\ne9380,2016/02/09,dinner,a burger,\ne9388,2016/02/11,lunch,sushi,\ne9390,2016/02/12,lunch,pasta,\"Benjamin, Jackson\"\ne9392,2016/02/13,dinner,chinese food,Jackson\ne9396,2016/02/14,lunch,indian food,Avery\ne9397,2016/02/14,dinner,pasta,\ne9401,2016/02/15,breakfast,peanut-butter-jam,\ne9402,2016/02/15,lunch,fish and chips,\ne9408,2016/02/17,dinner,a burger,\ne9418,2016/02/21,breakfast,cereals,\ne9424,2016/02/24,dinner,sandwich,Willow\ne9426,2016/02/25,breakfast,toast and cheese,\"Jackson, Avery, Benjamin, Willow\"\ne9431,2016/02/27,lunch,pasta,\"Carter, Emily, Kayden\"\ne9436,2016/02/28,breakfast,cereals,\ne9442,2016/03/01,lunch,sandwich,\ne9444,2016/03/02,lunch,steak,\ne9445,2016/03/02,dinner,a burger,\"Carter, Kayden\"\ne9448,2016/03/03,lunch,pasta,\ne9453,2016/03/04,dinner,sandwich,\ne9455,2016/03/05,breakfast,peanut-butter-jam,\ne9456,2016/03/05,dinner,tacos,\"Layla, Kinsley, Rylee, Hazel, Nora, Nevaeh, Piper, Eva, Lydia, Claire, Piper, Olivia\"\ne9458,2016/03/06,lunch,pasta,\ne9461,2016/03/07,breakfast,toast and cheese,\ne9468,2016/03/09,lunch,chinese food,\ne9471,2016/03/10,dinner,tacos,\ne9475,2016/03/11,lunch,chinese food,\ne9480,2016/03/12,lunch,indian food,\ne9484,2016/03/13,lunch,a burger,\"Layla, Olivia, Nora, Lydia, Piper, Kinsley, Avery, Eva, Piper, Claire, Rylee, Hazel\"\ne9485,2016/03/13,dinner,a burger,\ne9487,2016/03/14,breakfast,peanut-butter-jam,\ne9488,2016/03/14,dinner,sushi,\"Piper, Kinsley, Rylee, Claire, Nora\"\ne9490,2016/03/15,lunch,sushi,\ne9491,2016/03/15,dinner,a burger,\ne9496,2016/03/17,breakfast,peanut-butter-jam,\ne9499,2016/03/18,lunch,sandwich,\"Avery, Benjamin\"\ne9500,2016/03/18,dinner,steak,\ne9505,2016/03/19,dinner,sushi,\ne9509,2016/03/20,breakfast,cereals,\"Avery, Benjamin, Jackson, Willow\"\ne9510,2016/03/20,lunch,chinese food,\"Nora, Claire, Layla, Kinsley, Piper, Nevaeh, Lydia, Piper, Hazel, Avery, Rylee, Eva, Olivia\"\ne9516,2016/03/22,breakfast,pancakes,\ne9520,2016/03/23,dinner,sandwich,\"Piper, Piper, Nora, Nevaeh, Rylee, Olivia, Eva, Claire, Layla, Avery, Kinsley\"\ne9523,2016/03/24,lunch,fish and chips,\ne9527,2016/03/25,lunch,steak,\ne9530,2016/03/26,breakfast,cereals,Kayden\ne9531,2016/03/26,lunch,pasta,\"Carter, Kayden, Emily, Andrew\"\ne9536,2016/03/27,breakfast,pancakes,\"Avery, Benjamin, Willow, Jackson\"\ne9537,2016/03/27,lunch,pasta,\ne9538,2016/03/27,dinner,indian food,\ne9542,2016/03/28,breakfast,pancakes,\ne9547,2016/03/29,breakfast,cereals,\ne9549,2016/03/30,breakfast,\"eggs, sausages, and bread\",\ne9554,2016/03/31,lunch,a burger,\ne9555,2016/03/31,dinner,fish and chips,\ne9557,2016/04/01,breakfast,pancakes,\ne9558,2016/04/01,lunch,sandwich,\"Kayden, Andrew, Carter\"\ne9559,2016/04/01,dinner,sandwich,\ne9564,2016/04/02,lunch,a burger,\ne9565,2016/04/02,dinner,a burger,\"Piper, Layla, Hazel, Rylee, Lydia, Claire, Olivia, Eva, Kinsley, Nora, Avery, Nevaeh\"\ne9570,2016/04/03,dinner,chinese food,\"Nevaeh, Eva\"\ne9574,2016/04/04,breakfast,cereals,\"Kinsley, Rylee, Hazel, Nora, Nevaeh\"\ne9575,2016/04/04,lunch,indian food,Carter\ne9576,2016/04/04,dinner,steak,\ne9579,2016/04/05,lunch,fish and chips,\ne9582,2016/04/06,breakfast,oatmeal,\ne9583,2016/04/06,lunch,fish and chips,\ne9584,2016/04/06,dinner,indian food,Emily\ne9586,2016/04/07,dinner,steak,\ne9588,2016/04/08,lunch,pasta,\"Hazel, Lydia, Piper, Nevaeh, Layla, Eva, Avery, Claire, Nora, Kinsley, Olivia, Rylee, Piper\"\ne9589,2016/04/08,dinner,indian food,\"Emily, Andrew\"\ne9592,2016/04/09,breakfast,toast and cheese,\ne9593,2016/04/09,lunch,chinese food,\ne9594,2016/04/09,dinner,steak,\ne9597,2016/04/10,dinner,chinese food,\"Emily, Kayden, Andrew, Carter\"\ne9600,2016/04/11,breakfast,cereals,\ne9601,2016/04/11,lunch,sandwich,\ne9602,2016/04/11,dinner,chinese food,\ne9604,2016/04/12,dinner,indian food,\ne9606,2016/04/13,lunch,chinese food,\ne9607,2016/04/13,dinner,chinese food,\ne9611,2016/04/14,lunch,pasta,\ne9612,2016/04/14,dinner,sandwich,\ne9614,2016/04/15,breakfast,peanut-butter-jam,\ne9616,2016/04/16,lunch,indian food,Kayden\ne9618,2016/04/17,dinner,tacos,\ne9619,2016/04/18,breakfast,pancakes,\ne9620,2016/04/18,lunch,steak,\ne9624,2016/04/19,dinner,fish and chips,\ne9629,2016/04/20,breakfast,cereals,\"Kayden, Carter, Andrew\"\ne9631,2016/04/21,breakfast,cereals,\ne9632,2016/04/21,lunch,pasta,\ne9635,2016/04/22,lunch,indian food,\ne9636,2016/04/22,dinner,indian food,\"Kinsley, Lydia, Piper, Nevaeh, Hazel, Rylee, Layla, Avery, Nora, Olivia, Piper, Claire, Eva\"\ne9640,2016/04/23,breakfast,pancakes,\ne9641,2016/04/23,lunch,chinese food,\ne9642,2016/04/23,dinner,chinese food,\ne9647,2016/04/24,breakfast,pancakes,\ne9650,2016/04/25,breakfast,toast and cheese,\"Carter, Andrew, Emily, Kayden\"\ne9654,2016/04/26,dinner,sushi,\"Jackson, Benjamin\"\ne9658,2016/04/27,breakfast,cereals,\"Andrew, Emily\"\ne9659,2016/04/27,lunch,sushi,\ne9665,2016/04/28,breakfast,oatmeal,\ne9666,2016/04/28,dinner,sushi,\ne9668,2016/04/29,lunch,sandwich,\ne9671,2016/04/30,lunch,chinese food,\ne9675,2016/05/01,breakfast,oatmeal,\"Nora, Piper, Lydia, Nevaeh\"\ne9676,2016/05/01,lunch,chinese food,\"Eva, Hazel, Piper, Claire, Avery, Piper, Nevaeh, Lydia\"\ne9677,2016/05/01,dinner,indian food,\ne9682,2016/05/02,dinner,chinese food,Carter\ne9684,2016/05/03,lunch,a burger,\ne9685,2016/05/03,dinner,fish and chips,\ne9690,2016/05/05,lunch,sandwich,\ne9691,2016/05/05,dinner,tacos,\ne9695,2016/05/06,breakfast,peanut-butter-jam,\ne9696,2016/05/06,dinner,sandwich,\"Avery, Layla, Rylee, Kinsley, Piper, Piper, Nevaeh, Nora, Lydia\"\ne9702,2016/05/07,breakfast,cereals,\ne9704,2016/05/08,lunch,fish and chips,\ne9705,2016/05/08,dinner,pasta,\ne9713,2016/05/11,lunch,indian food,\"Hazel, Kinsley, Olivia, Nora, Lydia, Nevaeh\"\ne9714,2016/05/11,dinner,fish and chips,\ne9718,2016/05/12,breakfast,pancakes,\ne9719,2016/05/12,lunch,steak,\"Andrew, Carter, Emily, Kayden\"\ne9720,2016/05/12,dinner,pasta,\ne9728,2016/05/14,breakfast,oatmeal,\ne9729,2016/05/14,dinner,chinese food,\ne9733,2016/05/15,lunch,fish and chips,\ne9735,2016/05/16,breakfast,\"eggs, sausages, and bread\",\ne9736,2016/05/16,dinner,sushi,\ne9738,2016/05/17,breakfast,peanut-butter-jam,\ne9739,2016/05/17,dinner,indian food,\ne9743,2016/05/18,breakfast,pancakes,\ne9744,2016/05/18,lunch,a burger,\"Benjamin, Willow, Avery, Jackson\"\ne9751,2016/05/21,breakfast,\"eggs, sausages, and bread\",Emily\ne9752,2016/05/21,lunch,steak,\"Avery, Benjamin, Willow, Jackson\"\ne9753,2016/05/21,dinner,pasta,\"Emily, Andrew, Carter\"\ne9756,2016/05/22,breakfast,\"eggs, sausages, and bread\",\ne9760,2016/05/24,breakfast,\"eggs, sausages, and bread\",\ne9761,2016/05/24,dinner,steak,\ne9765,2016/05/25,dinner,fish and chips,\ne9766,2016/05/26,lunch,chinese food,\ne9770,2016/05/27,breakfast,\"eggs, sausages, and bread\",\"Eva, Kinsley, Avery, Nevaeh, Claire, Lydia, Piper, Olivia, Rylee, Nora, Piper, Layla, Hazel\"\ne9773,2016/05/28,lunch,fish and chips,\"Claire, Olivia\"\ne9774,2016/05/28,dinner,indian food,\"Emily, Carter, Kayden\"\ne9776,2016/05/29,breakfast,\"eggs, sausages, and bread\",\ne9781,2016/05/30,breakfast,oatmeal,\"Andrew, Emily, Kayden\"\ne9782,2016/05/30,lunch,fish and chips,\ne9784,2016/05/31,breakfast,pancakes,\ne9787,2016/06/01,dinner,pasta,\"Kinsley, Avery, Claire, Piper, Rylee, Nora, Lydia, Nevaeh, Eva, Layla\"\ne9792,2016/06/02,breakfast,oatmeal,\ne9793,2016/06/02,lunch,a burger,\ne9795,2016/06/03,breakfast,pancakes,\"Carter, Emily\"\ne9796,2016/06/03,lunch,a burger,\ne9801,2016/06/04,dinner,indian food,\ne9806,2016/06/06,breakfast,pancakes,\"Benjamin, Jackson, Avery, Willow\"\ne9807,2016/06/06,dinner,chinese food,\ne9810,2016/06/07,breakfast,oatmeal,\ne9811,2016/06/07,lunch,a burger,\"Avery, Layla, Olivia, Piper, Piper, Nora, Kinsley, Nevaeh, Rylee, Claire, Lydia, Eva\"\ne9813,2016/06/08,lunch,chinese food,\ne9814,2016/06/08,dinner,indian food,\ne9816,2016/06/09,dinner,pasta,\ne9819,2016/06/10,breakfast,toast and cheese,\ne9820,2016/06/10,lunch,tacos,\"Emily, Kayden, Carter\"\ne9823,2016/06/11,breakfast,\"eggs, sausages, and bread\",\ne9824,2016/06/11,dinner,pasta,\ne9827,2016/06/12,dinner,pasta,\ne9829,2016/06/13,lunch,fish and chips,\ne9834,2016/06/14,lunch,steak,\"Andrew, Carter, Emily\"\ne9835,2016/06/14,dinner,sushi,\ne9838,2016/06/15,dinner,a burger,\ne9841,2016/06/16,breakfast,toast and cheese,\"Kayden, Andrew\"\ne9842,2016/06/16,lunch,sandwich,\"Benjamin, Willow, Avery, Jackson\"\ne9843,2016/06/16,dinner,sandwich,\"Olivia, Layla, Nevaeh, Lydia, Piper, Kinsley, Eva, Claire, Rylee, Avery\"\ne9846,2016/06/17,lunch,a burger,\ne9849,2016/06/18,breakfast,peanut-butter-jam,\ne9850,2016/06/18,dinner,sandwich,\"Willow, Avery\"\ne9853,2016/06/19,breakfast,peanut-butter-jam,\"Piper, Claire, Eva, Olivia, Nevaeh, Avery\"\ne9854,2016/06/19,lunch,pasta,\ne9857,2016/06/20,breakfast,pancakes,\ne9858,2016/06/20,dinner,steak,\"Carter, Kayden\"\ne9861,2016/06/21,lunch,a burger,\"Emily, Carter, Andrew\"\ne9863,2016/06/22,breakfast,pancakes,\ne9864,2016/06/22,lunch,chinese food,\ne9868,2016/06/23,breakfast,cereals,\ne9872,2016/06/25,breakfast,\"eggs, sausages, and bread\",\"Eva, Lydia\"\ne9873,2016/06/25,lunch,steak,\ne9874,2016/06/25,dinner,pasta,Kayden\ne9878,2016/06/26,breakfast,\"eggs, sausages, and bread\",\"Eva, Avery, Layla, Piper, Lydia, Nevaeh, Rylee\"\ne9879,2016/06/26,lunch,pasta,\ne9880,2016/06/26,dinner,a burger,Kayden\ne9881,2016/06/27,lunch,sandwich,\ne9882,2016/06/27,dinner,steak,\"Carter, Kayden, Emily\"\ne9886,2016/06/28,lunch,a burger,Emily\ne9887,2016/06/28,dinner,steak,\ne9889,2016/06/29,lunch,sushi,\ne9890,2016/06/29,dinner,tacos,Kayden\ne9897,2016/07/01,dinner,sandwich,\ne9899,2016/07/02,breakfast,pancakes,\ne9900,2016/07/02,dinner,chinese food,\"Andrew, Emily, Carter\"\ne9903,2016/07/03,breakfast,peanut-butter-jam,\ne9904,2016/07/03,lunch,fish and chips,\"Claire, Eva, Piper, Avery, Lydia, Kinsley, Hazel, Layla\"\ne9906,2016/07/04,lunch,sushi,\ne9909,2016/07/05,lunch,sandwich,\ne9913,2016/07/06,breakfast,toast and cheese,Kayden\ne9914,2016/07/06,lunch,fish and chips,\ne9915,2016/07/06,dinner,a burger,\"Emily, Andrew\"\ne9918,2016/07/07,breakfast,oatmeal,\ne9919,2016/07/07,dinner,fish and chips,\ne9923,2016/07/08,lunch,sandwich,\ne9926,2016/07/09,lunch,sandwich,\"Carter, Andrew\"\ne9927,2016/07/09,dinner,tacos,\ne9931,2016/07/10,breakfast,oatmeal,Willow\ne9932,2016/07/10,dinner,chinese food,Kayden\ne9935,2016/07/11,lunch,steak,\"Emily, Kayden, Carter, Andrew\"\ne9936,2016/07/11,dinner,a burger,\"Avery, Layla, Piper, Lydia, Olivia\"\ne9939,2016/07/12,breakfast,cereals,\ne9943,2016/07/13,breakfast,cereals,\ne9947,2016/07/14,breakfast,peanut-butter-jam,Jackson\ne9948,2016/07/14,dinner,chinese food,Kayden\ne9954,2016/07/16,breakfast,peanut-butter-jam,\ne9955,2016/07/16,lunch,chinese food,Carter\ne9956,2016/07/16,dinner,tacos,\"Carter, Emily, Kayden, Andrew\"\ne9959,2016/07/17,breakfast,pancakes,\"Andrew, Kayden, Emily\"\ne9963,2016/07/18,breakfast,peanut-butter-jam,\ne9964,2016/07/18,lunch,sushi,Carter\ne9970,2016/07/19,dinner,a burger,\ne9973,2016/07/20,breakfast,cereals,\ne9974,2016/07/20,lunch,a burger,\ne9975,2016/07/20,dinner,sushi,\ne9978,2016/07/21,lunch,chinese food,\ne9986,2016/07/23,breakfast,peanut-butter-jam,\ne9987,2016/07/23,dinner,pasta,\ne9990,2016/07/24,breakfast,oatmeal,\ne9994,2016/07/25,lunch,pasta,Carter\ne9995,2016/07/25,dinner,steak,\ne9998,2016/07/26,lunch,sandwich,\"Emily, Kayden, Andrew\"\ne10001,2016/07/28,breakfast,pancakes,\"Willow, Jackson\"\ne10002,2016/07/28,lunch,sandwich,\"Emily, Carter, Kayden, Andrew\"\ne10003,2016/07/28,dinner,indian food,\"Carter, Andrew, Emily, Kayden\"\ne10006,2016/07/29,breakfast,cereals,\ne10007,2016/07/29,dinner,chinese food,Jackson\ne10011,2016/07/30,lunch,sandwich,\"Eva, Kinsley, Lydia, Olivia, Layla, Nevaeh, Rylee, Claire, Piper, Hazel, Piper\"\ne10012,2016/07/31,lunch,fish and chips,\ne10013,2016/07/31,dinner,sandwich,\ne10018,2016/08/01,breakfast,cereals,\ne10019,2016/08/01,lunch,pasta,\ne10022,2016/08/02,lunch,pasta,\"Carter, Andrew, Kayden\"\ne10026,2016/08/03,breakfast,pancakes,\"Carter, Kayden\"\ne10027,2016/08/03,lunch,sandwich,\ne10028,2016/08/03,dinner,chinese food,\ne10031,2016/08/04,lunch,a burger,\ne10033,2016/08/05,dinner,a burger,\"Kayden, Carter, Andrew\"\ne10035,2016/08/06,lunch,sushi,\"Eva, Olivia, Kinsley, Lydia, Claire, Nevaeh, Hazel, Nora, Avery, Piper\"\ne10038,2016/08/07,breakfast,pancakes,\ne10039,2016/08/07,lunch,sandwich,\ne10043,2016/08/08,lunch,sandwich,\ne10047,2016/08/09,lunch,tacos,\"Carter, Emily, Kayden\"\ne10048,2016/08/09,dinner,pasta,\ne10052,2016/08/10,breakfast,\"eggs, sausages, and bread\",\"Kinsley, Claire, Eva, Nevaeh, Piper, Piper, Hazel, Rylee, Nora, Lydia\"\ne10057,2016/08/11,dinner,sandwich,\ne10063,2016/08/12,breakfast,oatmeal,\ne10067,2016/08/13,lunch,chinese food,\"Kayden, Carter\"\ne10068,2016/08/13,dinner,chinese food,\ne10071,2016/08/14,lunch,fish and chips,\"Jackson, Willow, Avery, Benjamin\"\ne10072,2016/08/15,breakfast,toast and cheese,\"Avery, Claire, Eva, Layla, Kinsley, Hazel, Piper, Olivia, Nora, Rylee\"\ne10076,2016/08/16,lunch,sushi,\"Willow, Benjamin\"\ne10080,2016/08/17,breakfast,\"eggs, sausages, and bread\",\ne10083,2016/08/18,lunch,chinese food,\ne10087,2016/08/19,breakfast,pancakes,\ne10088,2016/08/19,lunch,sandwich,\ne10089,2016/08/19,dinner,chinese food,\ne10096,2016/08/21,lunch,indian food,\ne10100,2016/08/22,lunch,sandwich,\ne10101,2016/08/22,dinner,pasta,\"Benjamin, Avery\"\ne10105,2016/08/23,lunch,a burger,\ne10106,2016/08/23,dinner,tacos,\ne10111,2016/08/24,breakfast,peanut-butter-jam,\ne10112,2016/08/24,lunch,sushi,\"Carter, Andrew\"\ne10116,2016/08/26,breakfast,toast and cheese,\ne10122,2016/08/28,breakfast,\"eggs, sausages, and bread\",\ne10127,2016/08/29,breakfast,pancakes,\"Carter, Andrew\"\ne10128,2016/08/29,lunch,indian food,\ne10129,2016/08/29,dinner,indian food,\ne10134,2016/08/30,breakfast,toast and cheese,\"Andrew, Emily\"\ne10135,2016/08/30,lunch,fish and chips,\"Olivia, Hazel, Piper, Eva, Nevaeh, Piper, Claire, Nora, Layla, Avery, Rylee, Kinsley, Lydia\"\ne10136,2016/08/30,dinner,sushi,\ne10141,2016/08/31,breakfast,\"eggs, sausages, and bread\",\"Avery, Nora, Piper, Hazel, Lydia, Kinsley, Eva, Claire, Olivia, Rylee, Piper, Layla, Nevaeh\"\ne10145,2016/09/01,dinner,pasta,\ne10147,2016/09/02,dinner,fish and chips,Andrew\ne10150,2016/09/03,breakfast,toast and cheese,\ne10151,2016/09/03,lunch,sushi,\ne10156,2016/09/04,dinner,steak,\ne10159,2016/09/05,breakfast,peanut-butter-jam,\ne10160,2016/09/05,lunch,a burger,\ne10161,2016/09/05,dinner,pasta,\ne10163,2016/09/06,breakfast,\"eggs, sausages, and bread\",Willow\ne10164,2016/09/06,dinner,chinese food,\ne10166,2016/09/07,breakfast,\"eggs, sausages, and bread\",\ne10167,2016/09/07,lunch,steak,\ne10171,2016/09/08,breakfast,\"eggs, sausages, and bread\",\ne10172,2016/09/08,lunch,indian food,Nevaeh\ne10176,2016/09/09,lunch,tacos,\"Avery, Benjamin, Willow\"\ne10181,2016/09/10,breakfast,pancakes,\ne10182,2016/09/10,dinner,indian food,\ne10186,2016/09/11,breakfast,toast and cheese,\"Layla, Avery, Piper\"\ne10188,2016/09/12,breakfast,oatmeal,Kayden\ne10189,2016/09/12,lunch,pasta,\"Carter, Kayden, Emily\"\ne10190,2016/09/12,dinner,pasta,\"Andrew, Carter, Kayden\"\ne10193,2016/09/13,lunch,indian food,\"Hazel, Eva, Layla, Lydia, Claire, Kinsley\"\ne10197,2016/09/14,lunch,indian food,\"Layla, Piper, Piper, Kinsley, Nora, Eva, Olivia, Claire, Hazel, Nevaeh, Rylee, Lydia\"\ne10198,2016/09/14,dinner,tacos,\"Carter, Andrew\"\ne10201,2016/09/15,breakfast,toast and cheese,\ne10202,2016/09/15,lunch,fish and chips,Benjamin\ne10203,2016/09/15,dinner,indian food,\"Willow, Avery, Jackson\"\ne10206,2016/09/16,lunch,chinese food,\"Kinsley, Olivia, Piper, Avery, Lydia, Claire, Eva, Nora, Nevaeh, Layla, Rylee, Piper\"\ne10207,2016/09/16,dinner,pasta,\"Kayden, Carter, Emily, Andrew\"\ne10210,2016/09/17,breakfast,\"eggs, sausages, and bread\",\ne10211,2016/09/17,lunch,sandwich,\"Carter, Andrew, Kayden, Emily\"\ne10213,2016/09/18,lunch,pasta,\ne10215,2016/09/19,breakfast,oatmeal,Andrew\ne10217,2016/09/20,breakfast,peanut-butter-jam,\ne10218,2016/09/20,dinner,indian food,\ne10221,2016/09/21,breakfast,cereals,\ne10222,2016/09/21,dinner,a burger,\"Emily, Kayden\"\ne10225,2016/09/22,breakfast,cereals,\ne10226,2016/09/22,dinner,tacos,\"Kayden, Emily, Andrew, Carter\"\ne10228,2016/09/23,lunch,fish and chips,Andrew\ne10232,2016/09/24,breakfast,oatmeal,\ne10233,2016/09/24,lunch,sushi,\"Emily, Andrew\"\ne10234,2016/09/24,dinner,sushi,\ne10237,2016/09/25,breakfast,oatmeal,\ne10240,2016/09/26,breakfast,\"eggs, sausages, and bread\",Emily\ne10241,2016/09/26,lunch,tacos,\ne10242,2016/09/26,dinner,pasta,\ne10246,2016/09/27,breakfast,peanut-butter-jam,\"Kayden, Andrew, Emily, Carter\"\ne10250,2016/09/29,breakfast,peanut-butter-jam,\"Rylee, Olivia, Kinsley, Layla, Lydia, Claire, Eva, Piper\"\ne10251,2016/09/29,dinner,chinese food,\"Carter, Andrew\"\ne10256,2016/09/30,breakfast,pancakes,\ne10263,2016/10/02,breakfast,toast and cheese,Carter\ne10264,2016/10/02,dinner,chinese food,\"Layla, Avery, Lydia, Rylee, Nevaeh\"\ne10269,2016/10/03,breakfast,oatmeal,\ne10270,2016/10/03,lunch,sushi,\ne10271,2016/10/03,dinner,sushi,\ne10273,2016/10/04,breakfast,cereals,\"Lydia, Layla, Hazel, Piper, Kinsley, Claire, Eva, Rylee, Nevaeh, Nora, Piper\"\ne10274,2016/10/04,lunch,steak,\"Andrew, Emily, Carter, Kayden\"\ne10279,2016/10/05,lunch,a burger,\ne10280,2016/10/05,dinner,tacos,\ne10284,2016/10/06,breakfast,\"eggs, sausages, and bread\",\ne10285,2016/10/06,lunch,steak,\"Kayden, Emily\"\ne10286,2016/10/06,dinner,sandwich,\ne10287,2016/10/07,breakfast,cereals,\"Emily, Carter, Kayden\"\ne10288,2016/10/07,dinner,indian food,\ne10292,2016/10/08,breakfast,oatmeal,\ne10296,2016/10/09,lunch,steak,\ne10297,2016/10/09,dinner,pasta,\ne10301,2016/10/10,dinner,steak,\ne10305,2016/10/11,dinner,tacos,\"Kayden, Carter\"\ne10309,2016/10/12,breakfast,toast and cheese,\"Avery, Layla, Nora, Olivia, Nevaeh, Rylee, Lydia, Piper, Claire, Kinsley, Eva, Hazel, Piper\"\ne10310,2016/10/12,lunch,chinese food,Carter\ne10320,2016/10/15,breakfast,pancakes,\ne10324,2016/10/16,lunch,sandwich,\ne10329,2016/10/17,dinner,a burger,\ne10333,2016/10/19,lunch,sushi,\ne10337,2016/10/20,breakfast,toast and cheese,\ne10338,2016/10/20,lunch,a burger,\"Jackson, Avery\"\ne10339,2016/10/20,dinner,fish and chips,\ne10344,2016/10/21,lunch,tacos,\ne10348,2016/10/22,breakfast,peanut-butter-jam,\ne10351,2016/10/23,breakfast,peanut-butter-jam,\"Carter, Andrew\"\ne10352,2016/10/23,lunch,steak,\ne10353,2016/10/23,dinner,tacos,\ne10358,2016/10/24,lunch,a burger,\ne10359,2016/10/24,dinner,steak,\"Emily, Andrew, Carter\"\ne10362,2016/10/25,lunch,steak,\"Avery, Benjamin\"\ne10363,2016/10/25,dinner,chinese food,\ne10367,2016/10/26,breakfast,peanut-butter-jam,\"Kayden, Emily, Andrew\"\ne10368,2016/10/26,lunch,pasta,\ne10370,2016/10/27,breakfast,\"eggs, sausages, and bread\",\ne10371,2016/10/27,lunch,sandwich,\"Eva, Rylee, Olivia, Kinsley, Piper, Avery, Layla, Piper, Nora, Nevaeh, Claire, Hazel, Lydia\"\ne10372,2016/10/27,dinner,tacos,\"Kayden, Carter, Emily, Andrew\"\ne10377,2016/10/28,breakfast,toast and cheese,\ne10378,2016/10/28,lunch,sushi,\"Nora, Olivia, Layla, Kinsley, Avery, Piper, Piper, Lydia\"\ne10382,2016/10/29,breakfast,pancakes,\ne10383,2016/10/29,lunch,sushi,Emily\ne10384,2016/10/29,dinner,tacos,\ne10391,2016/10/31,breakfast,peanut-butter-jam,\"Kayden, Emily\"\ne10394,2016/11/01,breakfast,peanut-butter-jam,\ne10395,2016/11/01,lunch,tacos,\ne10399,2016/11/02,breakfast,peanut-butter-jam,\ne10400,2016/11/02,lunch,fish and chips,\"Emily, Andrew, Kayden, Carter\"\ne10401,2016/11/02,dinner,a burger,\"Emily, Carter, Kayden\"\ne10404,2016/11/03,lunch,steak,\ne10405,2016/11/03,dinner,chinese food,\ne10409,2016/11/04,lunch,chinese food,\ne10410,2016/11/04,dinner,sandwich,\ne10414,2016/11/05,breakfast,peanut-butter-jam,\"Willow, Jackson\"\ne10415,2016/11/05,dinner,steak,\"Andrew, Carter, Kayden, Emily\"\ne10418,2016/11/06,lunch,tacos,\"Emily, Carter, Andrew\"\ne10421,2016/11/07,breakfast,\"eggs, sausages, and bread\",\ne10422,2016/11/07,lunch,tacos,\ne10424,2016/11/08,breakfast,oatmeal,\ne10425,2016/11/08,lunch,sushi,\ne10428,2016/11/09,breakfast,cereals,\ne10433,2016/11/10,breakfast,peanut-butter-jam,\"Lydia, Claire, Piper\"\ne10434,2016/11/10,lunch,tacos,Kayden\ne10435,2016/11/10,dinner,a burger,\ne10437,2016/11/11,breakfast,\"eggs, sausages, and bread\",\ne10438,2016/11/11,lunch,indian food,\ne10439,2016/11/11,dinner,indian food,\ne10447,2016/11/13,lunch,sushi,\ne10448,2016/11/13,dinner,pasta,\ne10452,2016/11/14,breakfast,cereals,\ne10454,2016/11/15,lunch,sandwich,\"Emily, Andrew, Carter\"\ne10459,2016/11/16,breakfast,peanut-butter-jam,\ne10460,2016/11/16,lunch,a burger,\ne10461,2016/11/16,dinner,pasta,\ne10466,2016/11/17,lunch,steak,\"Emily, Kayden, Andrew\"\ne10467,2016/11/17,dinner,pasta,Kayden\ne10470,2016/11/18,breakfast,cereals,\"Andrew, Carter, Emily, Kayden\"\ne10471,2016/11/18,lunch,chinese food,\ne10474,2016/11/19,dinner,tacos,\"Piper, Nora, Olivia, Avery, Hazel, Layla, Claire, Kinsley, Piper, Lydia, Eva, Rylee, Nevaeh\"\ne10477,2016/11/20,breakfast,\"eggs, sausages, and bread\",\ne10478,2016/11/20,lunch,tacos,\ne10481,2016/11/21,breakfast,pancakes,\"Emily, Andrew, Carter\"\ne10482,2016/11/21,lunch,a burger,\ne10485,2016/11/22,breakfast,oatmeal,\ne10486,2016/11/22,lunch,steak,\"Hazel, Kinsley, Eva, Avery\"\ne10491,2016/11/23,lunch,chinese food,\ne10492,2016/11/23,dinner,sushi,\ne10497,2016/11/24,breakfast,pancakes,\"Piper, Nora, Eva, Kinsley, Claire, Layla, Avery, Lydia, Olivia, Hazel, Piper, Rylee, Nevaeh\"\ne10501,2016/11/25,lunch,chinese food,\"Emily, Andrew, Carter, Kayden\"\ne10502,2016/11/25,dinner,a burger,\ne10503,2016/11/26,lunch,sushi,\ne10507,2016/11/27,dinner,fish and chips,Carter\ne10510,2016/11/28,lunch,fish and chips,\"Emily, Kayden, Carter\"\ne10516,2016/11/29,breakfast,cereals,\ne10517,2016/11/29,dinner,tacos,\ne10524,2016/12/01,lunch,indian food,\ne10525,2016/12/01,dinner,fish and chips,\"Benjamin, Avery\"\ne10527,2016/12/02,breakfast,\"eggs, sausages, and bread\",\"Claire, Rylee, Avery, Lydia, Eva, Piper, Nora\"\ne10531,2016/12/03,lunch,sandwich,\"Benjamin, Willow, Avery\"\ne10532,2016/12/03,dinner,indian food,\ne10536,2016/12/04,breakfast,cereals,\"Benjamin, Jackson, Willow, Avery\"\ne10537,2016/12/04,lunch,indian food,\"Emily, Carter, Kayden\"\ne10538,2016/12/04,dinner,indian food,\"Benjamin, Jackson\"\ne10541,2016/12/05,dinner,indian food,\ne10546,2016/12/07,lunch,a burger,\"Andrew, Kayden, Emily\"\ne10547,2016/12/07,dinner,a burger,\ne10551,2016/12/08,breakfast,\"eggs, sausages, and bread\",\ne10552,2016/12/08,lunch,pasta,\"Kinsley, Olivia, Eva, Rylee, Hazel, Nora, Lydia, Nevaeh, Piper, Piper, Avery, Layla, Claire\"\ne10553,2016/12/08,dinner,tacos,Kayden\ne10554,2016/12/09,breakfast,cereals,\ne10555,2016/12/09,lunch,pasta,\"Willow, Jackson, Avery\"\ne10556,2016/12/09,dinner,fish and chips,\ne10558,2016/12/10,lunch,indian food,\"Olivia, Piper, Layla, Piper, Avery, Lydia, Kinsley, Eva\"\ne10559,2016/12/10,dinner,pasta,\ne10562,2016/12/11,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Andrew, Kayden\"\ne10563,2016/12/11,dinner,fish and chips,\ne10568,2016/12/12,breakfast,peanut-butter-jam,\ne10569,2016/12/12,lunch,chinese food,\ne10574,2016/12/13,dinner,chinese food,\ne10577,2016/12/14,breakfast,peanut-butter-jam,\"Kinsley, Eva, Lydia\"\ne10578,2016/12/14,dinner,fish and chips,\"Benjamin, Willow, Jackson\"\ne10583,2016/12/15,breakfast,pancakes,\ne10584,2016/12/15,dinner,tacos,\ne10588,2016/12/16,breakfast,oatmeal,\ne10592,2016/12/17,breakfast,oatmeal,\ne10594,2016/12/18,breakfast,oatmeal,\ne10595,2016/12/18,dinner,steak,Avery\ne10599,2016/12/19,breakfast,pancakes,\ne10600,2016/12/19,dinner,sushi,\"Andrew, Carter\"\ne10603,2016/12/20,breakfast,peanut-butter-jam,\ne10608,2016/12/21,lunch,steak,\ne10612,2016/12/22,lunch,a burger,\"Hazel, Lydia, Piper, Nevaeh, Olivia\"\ne10613,2016/12/22,dinner,sandwich,\ne10615,2016/12/23,breakfast,oatmeal,Carter\ne10616,2016/12/23,dinner,chinese food,Emily\ne10619,2016/12/24,breakfast,oatmeal,\ne10620,2016/12/24,lunch,sushi,\"Piper, Piper, Nevaeh, Hazel, Claire, Lydia\"\ne10621,2016/12/24,dinner,steak,\ne10624,2016/12/25,breakfast,\"eggs, sausages, and bread\",\ne10625,2016/12/25,lunch,sushi,\ne10626,2016/12/25,dinner,sushi,\ne10631,2016/12/27,breakfast,cereals,\ne10632,2016/12/27,dinner,pasta,\ne10635,2016/12/28,breakfast,pancakes,\ne10636,2016/12/28,dinner,pasta,\ne10639,2016/12/29,dinner,a burger,\"Kayden, Carter\"\ne10641,2016/12/30,breakfast,toast and cheese,\ne10785,2017/01/01,breakfast,pancakes,\"Emily, Carter, Kayden, Andrew\"\ne10786,2017/01/01,lunch,a burger,\ne10790,2017/01/02,breakfast,\"eggs, sausages, and bread\",Emily\ne10793,2017/01/03,lunch,fish and chips,Rylee\ne10794,2017/01/04,lunch,tacos,\"Emily, Kayden, Andrew, Carter\"\ne10795,2017/01/04,dinner,fish and chips,\"Benjamin, Avery, Willow\"\ne10798,2017/01/05,breakfast,pancakes,\"Nora, Piper\"\ne10799,2017/01/05,lunch,sushi,\ne10801,2017/01/06,breakfast,pancakes,\ne10802,2017/01/06,dinner,sushi,Andrew\ne10808,2017/01/08,breakfast,oatmeal,\"Kayden, Carter, Andrew, Emily\"\ne10809,2017/01/08,lunch,steak,\"Jackson, Benjamin\"\ne10810,2017/01/08,dinner,sushi,\"Andrew, Carter, Kayden\"\ne10812,2017/01/09,lunch,chinese food,\ne10816,2017/01/10,dinner,tacos,Kayden\ne10821,2017/01/11,lunch,indian food,\ne10822,2017/01/11,dinner,indian food,\ne10826,2017/01/12,breakfast,\"eggs, sausages, and bread\",Kayden\ne10829,2017/01/13,breakfast,cereals,\"Lydia, Piper, Olivia, Rylee, Claire, Piper, Kinsley\"\ne10830,2017/01/13,lunch,chinese food,\ne10833,2017/01/14,breakfast,peanut-butter-jam,\ne10834,2017/01/14,dinner,tacos,\ne10839,2017/01/16,breakfast,peanut-butter-jam,\ne10840,2017/01/16,lunch,steak,\ne10841,2017/01/16,dinner,chinese food,\"Jackson, Benjamin, Avery, Willow\"\ne10844,2017/01/17,lunch,indian food,\"Kayden, Andrew, Emily\"\ne10847,2017/01/18,breakfast,oatmeal,\ne10848,2017/01/18,lunch,sushi,\ne10851,2017/01/19,breakfast,toast and cheese,Emily\ne10852,2017/01/19,dinner,sandwich,Willow\ne10855,2017/01/20,dinner,pasta,\ne10858,2017/01/21,dinner,fish and chips,\ne10861,2017/01/22,breakfast,pancakes,\"Kayden, Emily\"\ne10862,2017/01/22,dinner,steak,\"Nevaeh, Avery, Layla, Eva, Kinsley, Hazel, Lydia, Piper\"\ne10866,2017/01/23,dinner,indian food,\ne10869,2017/01/24,lunch,chinese food,\ne10870,2017/01/24,dinner,fish and chips,\"Benjamin, Avery\"\ne10874,2017/01/25,breakfast,toast and cheese,\ne10878,2017/01/26,dinner,indian food,\"Avery, Jackson, Willow\"\ne10880,2017/01/27,breakfast,cereals,\ne10881,2017/01/27,lunch,tacos,\"Carter, Emily, Kayden\"\ne10882,2017/01/27,dinner,indian food,\ne10886,2017/01/28,lunch,indian food,\ne10892,2017/01/29,lunch,fish and chips,\"Carter, Kayden, Andrew, Emily\"\ne10893,2017/01/29,dinner,sushi,\"Carter, Emily\"\ne10897,2017/01/30,breakfast,\"eggs, sausages, and bread\",\ne10898,2017/01/30,lunch,a burger,\ne10901,2017/01/31,dinner,sandwich,Kayden\ne10905,2017/02/01,dinner,steak,\"Carter, Emily, Andrew, Kayden\"\ne10906,2017/02/02,lunch,fish and chips,\"Avery, Benjamin\"\ne10907,2017/02/02,dinner,fish and chips,\ne10911,2017/02/03,breakfast,cereals,\"Andrew, Carter\"\ne10912,2017/02/03,dinner,indian food,\ne10915,2017/02/04,dinner,tacos,\ne10918,2017/02/05,breakfast,toast and cheese,\ne10919,2017/02/05,dinner,a burger,Carter\ne10923,2017/02/06,breakfast,peanut-butter-jam,\"Avery, Jackson, Willow\"\ne10924,2017/02/06,lunch,steak,\ne10926,2017/02/07,breakfast,oatmeal,\ne10927,2017/02/07,lunch,pasta,\"Andrew, Kayden\"\ne10928,2017/02/07,dinner,steak,\ne10931,2017/02/08,breakfast,oatmeal,Willow\ne10934,2017/02/09,breakfast,\"eggs, sausages, and bread\",\ne10935,2017/02/09,dinner,a burger,\ne10937,2017/02/10,breakfast,cereals,\"Andrew, Kayden\"\ne10938,2017/02/10,lunch,sandwich,\"Nora, Avery, Piper, Kinsley, Olivia, Eva, Hazel, Piper, Rylee, Layla, Lydia\"\ne10939,2017/02/10,dinner,indian food,\ne10941,2017/02/11,breakfast,peanut-butter-jam,\ne10942,2017/02/11,dinner,pasta,\"Carter, Andrew, Kayden, Emily\"\ne10946,2017/02/12,lunch,sushi,\"Andrew, Carter, Kayden, Emily\"\ne10947,2017/02/12,dinner,sandwich,\"Andrew, Emily\"\ne10950,2017/02/13,dinner,a burger,\ne10953,2017/02/14,breakfast,cereals,\ne10960,2017/02/16,lunch,sandwich,\ne10961,2017/02/16,dinner,sandwich,Andrew\ne10969,2017/02/18,breakfast,\"eggs, sausages, and bread\",\ne10974,2017/02/20,breakfast,toast and cheese,\"Willow, Avery, Benjamin\"\ne10975,2017/02/20,lunch,chinese food,\ne10979,2017/02/21,breakfast,toast and cheese,\ne10980,2017/02/21,dinner,a burger,\ne10982,2017/02/22,breakfast,cereals,\"Piper, Nora\"\ne10983,2017/02/22,lunch,pasta,\"Andrew, Emily, Kayden\"\ne10984,2017/02/22,dinner,fish and chips,\"Emily, Kayden, Carter, Andrew\"\ne10988,2017/02/23,breakfast,cereals,\ne10989,2017/02/23,dinner,pasta,\"Carter, Emily, Kayden\"\ne10990,2017/02/24,breakfast,pancakes,\ne10993,2017/02/26,lunch,chinese food,\"Kayden, Emily, Carter, Andrew\"\ne10994,2017/02/26,dinner,steak,\"Andrew, Kayden, Carter\"\ne10996,2017/02/27,breakfast,oatmeal,\ne10997,2017/02/27,lunch,chinese food,\ne10999,2017/02/28,lunch,pasta,\"Jackson, Avery\"\ne11002,2017/03/01,breakfast,\"eggs, sausages, and bread\",\"Nevaeh, Hazel, Olivia\"\ne11006,2017/03/02,breakfast,cereals,\ne11007,2017/03/02,lunch,indian food,\ne11008,2017/03/02,dinner,tacos,\ne11011,2017/03/03,dinner,tacos,\ne11013,2017/03/04,lunch,a burger,\ne11015,2017/03/05,breakfast,cereals,\ne11019,2017/03/06,breakfast,peanut-butter-jam,\ne11020,2017/03/06,dinner,a burger,\ne11025,2017/03/07,breakfast,peanut-butter-jam,\ne11026,2017/03/07,dinner,tacos,\ne11029,2017/03/08,breakfast,oatmeal,\ne11030,2017/03/08,lunch,indian food,\ne11035,2017/03/10,breakfast,pancakes,\"Carter, Kayden, Emily\"\ne11036,2017/03/10,lunch,indian food,\ne11037,2017/03/10,dinner,pasta,\ne11041,2017/03/11,breakfast,cereals,\ne11046,2017/03/12,breakfast,pancakes,\ne11047,2017/03/12,lunch,indian food,\"Rylee, Eva\"\ne11049,2017/03/13,breakfast,\"eggs, sausages, and bread\",\ne11050,2017/03/13,lunch,steak,\ne11051,2017/03/13,dinner,chinese food,\ne11053,2017/03/14,dinner,pasta,\"Emily, Carter, Andrew, Kayden\"\ne11058,2017/03/15,breakfast,cereals,\"Nevaeh, Lydia, Eva, Claire, Layla, Olivia, Rylee, Nora, Kinsley, Hazel, Piper, Avery\"\ne11059,2017/03/15,lunch,a burger,\ne11062,2017/03/16,lunch,indian food,Andrew\ne11065,2017/03/17,dinner,sushi,\ne11070,2017/03/18,breakfast,cereals,\ne11071,2017/03/18,dinner,a burger,\ne11074,2017/03/19,breakfast,toast and cheese,\ne11075,2017/03/19,dinner,sandwich,\ne11079,2017/03/21,lunch,a burger,\ne11080,2017/03/21,dinner,chinese food,\"Rylee, Hazel, Eva, Nevaeh, Piper, Olivia, Piper, Nora, Kinsley, Claire, Lydia, Avery\"\ne11083,2017/03/23,breakfast,\"eggs, sausages, and bread\",\ne11084,2017/03/23,lunch,indian food,\ne11085,2017/03/23,dinner,fish and chips,\"Layla, Olivia, Piper, Lydia, Eva\"\ne11088,2017/03/24,breakfast,pancakes,\ne11089,2017/03/24,dinner,tacos,\"Kayden, Andrew, Emily, Carter\"\ne11092,2017/03/25,lunch,steak,Willow\ne11093,2017/03/25,dinner,fish and chips,\"Carter, Emily, Andrew, Kayden\"\ne11095,2017/03/26,breakfast,\"eggs, sausages, and bread\",\"Claire, Olivia\"\ne11096,2017/03/26,lunch,steak,\"Kinsley, Claire, Lydia, Hazel, Olivia\"\ne11099,2017/03/27,breakfast,\"eggs, sausages, and bread\",\"Rylee, Nora, Kinsley, Layla\"\ne11100,2017/03/27,dinner,steak,\"Eva, Nora, Kinsley, Hazel, Piper, Avery, Piper, Lydia, Claire, Olivia, Nevaeh, Layla, Rylee\"\ne11105,2017/03/28,lunch,chinese food,\ne11109,2017/03/29,dinner,indian food,\"Rylee, Nevaeh\"\ne11113,2017/03/30,breakfast,oatmeal,\ne11114,2017/03/30,lunch,pasta,\ne11119,2017/03/31,dinner,steak,\ne11122,2017/04/01,lunch,a burger,\"Emily, Andrew\"\ne11126,2017/04/02,breakfast,toast and cheese,\ne11128,2017/04/03,lunch,chinese food,\"Andrew, Carter, Kayden\"\ne11129,2017/04/03,dinner,sandwich,\"Layla, Claire, Nora, Eva, Rylee, Hazel, Piper, Piper, Olivia, Kinsley, Lydia, Avery, Nevaeh\"\ne11133,2017/04/05,lunch,indian food,\ne11134,2017/04/05,dinner,sushi,\"Rylee, Piper, Kinsley, Lydia, Nora, Nevaeh, Eva, Claire, Hazel, Layla, Avery\"\ne11140,2017/04/06,breakfast,oatmeal,\ne11143,2017/04/07,dinner,indian food,\ne11145,2017/04/08,lunch,steak,Carter\ne11146,2017/04/08,dinner,a burger,\ne11149,2017/04/09,breakfast,oatmeal,\ne11153,2017/04/11,breakfast,\"eggs, sausages, and bread\",Benjamin\ne11154,2017/04/11,lunch,chinese food,\ne11158,2017/04/12,breakfast,cereals,\ne11159,2017/04/12,dinner,pasta,\ne11161,2017/04/13,breakfast,cereals,\"Nora, Lydia, Nevaeh, Eva, Claire, Kinsley, Piper, Rylee, Hazel\"\ne11162,2017/04/13,lunch,indian food,\ne11166,2017/04/14,breakfast,pancakes,\ne11167,2017/04/14,lunch,fish and chips,\"Kayden, Andrew, Carter\"\ne11171,2017/04/15,dinner,pasta,\ne11175,2017/04/16,breakfast,pancakes,\ne11176,2017/04/16,dinner,a burger,\"Avery, Benjamin, Jackson\"\ne11178,2017/04/17,breakfast,toast and cheese,\ne11179,2017/04/17,lunch,tacos,\"Avery, Claire, Kinsley, Nora, Nevaeh, Piper, Layla, Eva, Lydia\"\ne11180,2017/04/17,dinner,a burger,\"Carter, Emily\"\ne11183,2017/04/18,dinner,sushi,\ne11184,2017/04/19,breakfast,\"eggs, sausages, and bread\",\ne11185,2017/04/19,lunch,sandwich,\"Jackson, Benjamin\"\ne11188,2017/04/20,breakfast,cereals,\"Andrew, Emily, Carter\"\ne11189,2017/04/20,lunch,a burger,\ne11191,2017/04/21,lunch,a burger,Emily\ne11192,2017/04/21,dinner,steak,\"Willow, Jackson, Benjamin\"\ne11196,2017/04/22,lunch,steak,Willow\ne11197,2017/04/22,dinner,fish and chips,Andrew\ne11202,2017/04/23,breakfast,toast and cheese,Kayden\ne11203,2017/04/23,lunch,fish and chips,\ne11210,2017/04/26,breakfast,oatmeal,\ne11211,2017/04/26,lunch,pasta,\"Eva, Avery, Claire, Nora, Olivia, Piper, Rylee, Layla, Lydia, Piper, Kinsley\"\ne11215,2017/04/27,lunch,steak,\ne11219,2017/04/28,breakfast,toast and cheese,\"Layla, Hazel, Olivia, Nora, Kinsley\"\ne11220,2017/04/28,lunch,sandwich,\ne11223,2017/04/29,breakfast,pancakes,\ne11224,2017/04/29,lunch,steak,\ne11227,2017/04/30,lunch,chinese food,\ne11228,2017/04/30,dinner,pasta,\"Hazel, Avery, Kinsley\"\ne11232,2017/05/01,lunch,tacos,\ne11233,2017/05/02,breakfast,pancakes,\ne11234,2017/05/02,lunch,sushi,\ne11238,2017/05/03,breakfast,cereals,\ne11239,2017/05/03,dinner,a burger,\ne11243,2017/05/04,dinner,chinese food,\ne11247,2017/05/06,breakfast,\"eggs, sausages, and bread\",\ne11248,2017/05/06,lunch,a burger,\ne11252,2017/05/07,breakfast,peanut-butter-jam,\ne11254,2017/05/08,lunch,tacos,\ne11255,2017/05/08,dinner,pasta,\ne11257,2017/05/09,lunch,tacos,\"Nora, Nevaeh, Layla\"\ne11261,2017/05/10,lunch,fish and chips,\ne11262,2017/05/10,dinner,a burger,\"Nora, Piper, Kinsley, Lydia, Layla, Avery, Olivia, Eva, Claire, Hazel, Piper, Nevaeh, Rylee\"\ne11266,2017/05/11,breakfast,pancakes,\ne11269,2017/05/12,lunch,fish and chips,\ne11270,2017/05/12,dinner,steak,Carter\ne11274,2017/05/13,breakfast,peanut-butter-jam,\ne11275,2017/05/13,dinner,indian food,\ne11277,2017/05/14,breakfast,\"eggs, sausages, and bread\",Kinsley\ne11278,2017/05/14,lunch,indian food,\"Benjamin, Avery, Jackson, Willow\"\ne11280,2017/05/15,lunch,sushi,\ne11281,2017/05/15,dinner,sushi,Emily\ne11284,2017/05/16,breakfast,\"eggs, sausages, and bread\",Nora\ne11285,2017/05/16,lunch,a burger,\ne11286,2017/05/16,dinner,fish and chips,\ne11289,2017/05/17,breakfast,cereals,Emily\ne11290,2017/05/17,lunch,chinese food,\ne11291,2017/05/17,dinner,indian food,\ne11294,2017/05/18,breakfast,peanut-butter-jam,\"Avery, Jackson, Benjamin\"\ne11295,2017/05/19,dinner,pasta,\ne11298,2017/05/20,lunch,pasta,\"Andrew, Emily, Carter, Kayden\"\ne11299,2017/05/20,dinner,a burger,\"Avery, Willow\"\ne11301,2017/05/21,dinner,indian food,\ne11305,2017/05/23,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Jackson\"\ne11306,2017/05/23,lunch,pasta,\"Nora, Piper, Layla, Olivia, Rylee, Kinsley\"\ne11308,2017/05/26,breakfast,pancakes,\ne11309,2017/05/26,lunch,chinese food,\"Carter, Kayden\"\ne11314,2017/05/27,dinner,sandwich,\"Emily, Kayden\"\ne11318,2017/05/28,breakfast,\"eggs, sausages, and bread\",\ne11319,2017/05/28,lunch,sushi,\ne11320,2017/05/28,dinner,sandwich,\"Layla, Kinsley, Piper, Hazel\"\ne11325,2017/05/29,dinner,fish and chips,\ne11328,2017/05/30,breakfast,cereals,Kayden\ne11329,2017/05/30,dinner,steak,\"Avery, Willow, Jackson, Benjamin\"\ne11333,2017/05/31,breakfast,cereals,\"Avery, Jackson\"\ne11340,2017/06/02,breakfast,\"eggs, sausages, and bread\",\"Avery, Willow\"\ne11341,2017/06/02,dinner,chinese food,\"Emily, Andrew\"\ne11344,2017/06/03,lunch,sushi,\ne11345,2017/06/03,dinner,tacos,\ne11350,2017/06/04,breakfast,oatmeal,\ne11351,2017/06/04,lunch,sushi,\ne11355,2017/06/05,lunch,steak,\ne11357,2017/06/06,breakfast,cereals,\ne11359,2017/06/07,lunch,chinese food,\ne11360,2017/06/07,dinner,steak,Andrew\ne11364,2017/06/08,lunch,fish and chips,\ne11367,2017/06/09,dinner,tacos,\ne11371,2017/06/10,lunch,a burger,\"Nora, Eva, Avery, Hazel, Rylee, Piper, Layla, Piper\"\ne11373,2017/06/11,breakfast,toast and cheese,\ne11377,2017/06/12,lunch,pasta,\ne11380,2017/06/13,lunch,indian food,\ne11381,2017/06/13,dinner,fish and chips,\"Emily, Andrew, Kayden, Carter\"\ne11384,2017/06/14,breakfast,oatmeal,\"Emily, Kayden, Andrew\"\ne11385,2017/06/14,lunch,sandwich,\"Eva, Nevaeh, Lydia, Avery, Kinsley, Nora, Olivia, Claire, Piper, Hazel, Rylee\"\ne11388,2017/06/15,lunch,tacos,\ne11391,2017/06/16,breakfast,pancakes,\ne11392,2017/06/16,lunch,pasta,\"Eva, Layla, Kinsley, Nora, Nevaeh, Piper, Avery\"\ne11395,2017/06/17,breakfast,toast and cheese,\ne11396,2017/06/17,lunch,fish and chips,\"Carter, Emily\"\ne11397,2017/06/17,dinner,sushi,\ne11401,2017/06/18,dinner,a burger,\ne11405,2017/06/20,dinner,sushi,\"Andrew, Kayden, Carter\"\ne11410,2017/06/21,breakfast,peanut-butter-jam,\ne11411,2017/06/21,lunch,tacos,\"Lydia, Piper, Avery, Nora, Rylee\"\ne11419,2017/06/24,lunch,sandwich,\ne11422,2017/06/25,breakfast,oatmeal,\ne11423,2017/06/25,lunch,tacos,Carter\ne11428,2017/06/26,lunch,sushi,\"Carter, Emily, Kayden, Andrew\"\ne11430,2017/06/27,dinner,indian food,\"Andrew, Kayden\"\ne11433,2017/06/28,breakfast,toast and cheese,\ne11434,2017/06/28,lunch,steak,\ne11435,2017/06/28,dinner,a burger,\"Layla, Eva, Lydia, Nora, Kinsley, Piper, Avery\"\ne11439,2017/06/29,dinner,a burger,\"Benjamin, Jackson, Willow\"\ne11442,2017/06/30,dinner,sushi,\ne11447,2017/07/01,breakfast,toast and cheese,\"Eva, Piper, Kinsley, Lydia, Rylee, Piper, Claire, Hazel, Nevaeh, Layla, Nora, Olivia\"\ne11448,2017/07/01,lunch,sushi,\ne11451,2017/07/02,breakfast,toast and cheese,\ne11452,2017/07/02,lunch,steak,\ne11457,2017/07/03,breakfast,oatmeal,\ne11458,2017/07/03,lunch,fish and chips,\ne11460,2017/07/04,breakfast,toast and cheese,\ne11461,2017/07/04,lunch,tacos,\"Kayden, Andrew\"\ne11462,2017/07/04,dinner,fish and chips,\"Andrew, Kayden, Carter\"\ne11465,2017/07/05,breakfast,oatmeal,\"Nora, Nevaeh, Lydia\"\ne11466,2017/07/05,lunch,pasta,\ne11467,2017/07/05,dinner,sushi,\ne11470,2017/07/06,breakfast,oatmeal,\ne11471,2017/07/06,dinner,sandwich,\ne11474,2017/07/07,breakfast,oatmeal,\"Benjamin, Avery, Willow\"\ne11475,2017/07/07,lunch,a burger,\"Rylee, Claire, Piper, Olivia, Piper, Layla, Hazel, Nevaeh, Kinsley\"\ne11476,2017/07/07,dinner,chinese food,\ne11479,2017/07/08,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden\"\ne11484,2017/07/10,breakfast,toast and cheese,\ne11485,2017/07/10,lunch,tacos,\ne11486,2017/07/10,dinner,steak,\ne11490,2017/07/11,lunch,tacos,\ne11491,2017/07/11,dinner,tacos,\ne11494,2017/07/12,dinner,steak,\"Kayden, Andrew, Emily, Carter\"\ne11495,2017/07/13,breakfast,peanut-butter-jam,\ne11496,2017/07/13,dinner,a burger,\"Carter, Emily, Andrew, Kayden\"\ne11498,2017/07/14,breakfast,peanut-butter-jam,\ne11502,2017/07/15,dinner,steak,\"Emily, Kayden\"\ne11506,2017/07/16,breakfast,cereals,\"Kayden, Andrew, Emily, Carter\"\ne11507,2017/07/16,dinner,fish and chips,Willow\ne11510,2017/07/17,lunch,a burger,\ne11511,2017/07/17,dinner,indian food,\ne11515,2017/07/18,breakfast,\"eggs, sausages, and bread\",\"Willow, Benjamin, Avery\"\ne11519,2017/07/19,breakfast,toast and cheese,\ne11520,2017/07/19,lunch,a burger,\"Kayden, Andrew, Carter\"\ne11523,2017/07/20,breakfast,cereals,Carter\ne11524,2017/07/20,lunch,a burger,\"Kayden, Carter, Emily\"\ne11525,2017/07/20,dinner,pasta,\ne11531,2017/07/21,breakfast,cereals,\ne11532,2017/07/21,lunch,pasta,Avery\ne11535,2017/07/22,breakfast,cereals,\"Carter, Emily, Andrew, Kayden\"\ne11536,2017/07/22,lunch,tacos,\"Kinsley, Nevaeh\"\ne11539,2017/07/23,breakfast,\"eggs, sausages, and bread\",\ne11542,2017/07/24,lunch,chinese food,\ne11546,2017/07/25,lunch,chinese food,\"Emily, Carter, Andrew\"\ne11547,2017/07/25,dinner,sandwich,\ne11550,2017/07/26,lunch,steak,\ne11555,2017/07/27,lunch,indian food,\"Eva, Piper, Nora, Piper, Claire, Kinsley, Hazel, Nevaeh, Lydia, Olivia, Rylee, Avery, Layla\"\ne11560,2017/07/28,lunch,a burger,\"Andrew, Emily, Kayden, Carter\"\ne11566,2017/07/30,breakfast,\"eggs, sausages, and bread\",\ne11571,2017/07/31,lunch,steak,Emily\ne11572,2017/07/31,dinner,pasta,\ne11577,2017/08/01,dinner,steak,\ne11584,2017/08/03,lunch,chinese food,\ne11587,2017/08/04,breakfast,pancakes,\ne11588,2017/08/04,lunch,steak,\ne11589,2017/08/04,dinner,pasta,\ne11590,2017/08/05,lunch,pasta,\"Kayden, Andrew, Carter, Emily\"\ne11598,2017/08/07,breakfast,\"eggs, sausages, and bread\",\ne11599,2017/08/07,lunch,a burger,\ne11602,2017/08/09,lunch,chinese food,\ne11608,2017/08/10,dinner,tacos,\"Emily, Kayden, Andrew\"\ne11611,2017/08/11,breakfast,pancakes,\ne11612,2017/08/11,dinner,tacos,\ne11616,2017/08/12,breakfast,cereals,\ne11617,2017/08/12,lunch,sandwich,\ne11618,2017/08/12,dinner,fish and chips,\ne11624,2017/08/13,lunch,sandwich,\"Olivia, Rylee, Avery, Layla, Claire, Piper, Eva, Kinsley, Lydia, Nora, Hazel, Piper, Nevaeh\"\ne11627,2017/08/14,breakfast,oatmeal,\ne11628,2017/08/14,dinner,fish and chips,\ne11630,2017/08/15,breakfast,toast and cheese,\ne11631,2017/08/15,lunch,sushi,\ne11632,2017/08/15,dinner,pasta,\ne11636,2017/08/16,breakfast,\"eggs, sausages, and bread\",\ne11639,2017/08/17,lunch,pasta,\"Nevaeh, Claire, Eva, Nora, Hazel, Kinsley, Piper, Lydia, Avery, Olivia, Piper, Rylee, Layla\"\ne11640,2017/08/17,dinner,steak,Carter\ne11641,2017/08/18,breakfast,pancakes,\ne11645,2017/08/19,breakfast,peanut-butter-jam,\ne11646,2017/08/19,lunch,a burger,\"Lydia, Nevaeh, Nora, Hazel, Claire, Olivia\"\ne11647,2017/08/19,dinner,a burger,\"Kayden, Carter, Andrew\"\ne11650,2017/08/20,breakfast,\"eggs, sausages, and bread\",\"Kinsley, Nevaeh, Lydia, Nora, Claire, Olivia, Rylee\"\ne11651,2017/08/20,dinner,fish and chips,\ne11653,2017/08/21,breakfast,pancakes,\ne11654,2017/08/21,lunch,sandwich,\ne11655,2017/08/21,dinner,sushi,\ne11658,2017/08/22,lunch,steak,\"Jackson, Avery, Benjamin\"\ne11662,2017/08/23,lunch,fish and chips,\ne11663,2017/08/23,dinner,chinese food,\ne11667,2017/08/24,breakfast,pancakes,\"Olivia, Lydia, Hazel\"\ne11668,2017/08/24,dinner,indian food,\ne11670,2017/08/25,lunch,steak,\ne11671,2017/08/25,dinner,a burger,\ne11676,2017/08/26,lunch,indian food,\"Olivia, Nora, Lydia, Claire, Kinsley, Piper, Piper, Nevaeh, Layla\"\ne11677,2017/08/26,dinner,a burger,\ne11681,2017/08/27,dinner,chinese food,\"Carter, Kayden\"\ne11683,2017/08/28,breakfast,cereals,\ne11684,2017/08/28,lunch,tacos,\"Emily, Andrew, Kayden\"\ne11685,2017/08/28,dinner,indian food,\ne11690,2017/08/29,lunch,sandwich,\ne11693,2017/08/30,breakfast,\"eggs, sausages, and bread\",\ne11694,2017/08/30,lunch,sandwich,Kayden\ne11695,2017/08/30,dinner,sandwich,\"Kayden, Carter, Emily\"\ne11698,2017/08/31,breakfast,\"eggs, sausages, and bread\",\"Hazel, Piper, Nora, Rylee, Eva, Nevaeh, Avery, Claire\"\ne11699,2017/08/31,dinner,sandwich,\ne11704,2017/09/02,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew, Carter, Emily\"\ne11705,2017/09/02,dinner,chinese food,\ne11707,2017/09/03,lunch,tacos,\ne11711,2017/09/04,breakfast,toast and cheese,Andrew\ne11712,2017/09/04,lunch,sandwich,\ne11713,2017/09/04,dinner,sandwich,\"Emily, Kayden, Carter\"\ne11716,2017/09/05,dinner,sandwich,\ne11718,2017/09/06,breakfast,peanut-butter-jam,\"Emily, Carter\"\ne11719,2017/09/06,lunch,steak,\ne11720,2017/09/06,dinner,tacos,\ne11725,2017/09/08,lunch,chinese food,\ne11729,2017/09/09,breakfast,cereals,\"Piper, Rylee\"\ne11730,2017/09/09,lunch,a burger,\ne11731,2017/09/09,dinner,chinese food,\ne11734,2017/09/10,breakfast,peanut-butter-jam,\"Jackson, Avery, Benjamin\"\ne11735,2017/09/10,lunch,fish and chips,\"Piper, Nevaeh, Hazel, Lydia, Layla, Kinsley, Claire, Eva\"\ne11736,2017/09/10,dinner,pasta,\ne11740,2017/09/11,breakfast,oatmeal,Jackson\ne11743,2017/09/12,breakfast,oatmeal,\ne11744,2017/09/12,lunch,a burger,\ne11746,2017/09/13,lunch,sandwich,\ne11749,2017/09/14,lunch,fish and chips,\ne11750,2017/09/14,dinner,fish and chips,Emily\ne11755,2017/09/15,lunch,a burger,Avery\ne11756,2017/09/15,dinner,pasta,\ne11760,2017/09/16,breakfast,cereals,\ne11763,2017/09/17,lunch,steak,\ne11764,2017/09/17,dinner,sushi,\ne11766,2017/09/18,breakfast,pancakes,\ne11767,2017/09/18,lunch,indian food,\"Emily, Kayden, Carter, Andrew\"\ne11768,2017/09/18,dinner,pasta,\ne11770,2017/09/19,breakfast,cereals,\ne11771,2017/09/19,lunch,a burger,\"Lydia, Layla, Eva, Nevaeh\"\ne11772,2017/09/19,dinner,chinese food,\"Kayden, Emily, Carter, Andrew\"\ne11773,2017/09/20,breakfast,pancakes,\"Carter, Kayden, Emily, Andrew\"\ne11774,2017/09/20,lunch,a burger,\ne11778,2017/09/21,breakfast,pancakes,\"Claire, Kinsley, Lydia, Nora, Piper, Layla, Rylee, Piper\"\ne11779,2017/09/21,lunch,a burger,\ne11782,2017/09/22,breakfast,cereals,\ne11783,2017/09/22,dinner,a burger,\ne11788,2017/09/23,lunch,pasta,\ne11792,2017/09/24,lunch,indian food,\ne11793,2017/09/24,dinner,fish and chips,\ne11797,2017/09/25,breakfast,peanut-butter-jam,\ne11798,2017/09/25,lunch,pasta,\ne11799,2017/09/26,breakfast,peanut-butter-jam,\"Andrew, Emily\"\ne11800,2017/09/26,lunch,sandwich,\ne11801,2017/09/26,dinner,sandwich,\"Layla, Claire\"\ne11803,2017/09/27,breakfast,cereals,Kayden\ne11806,2017/09/28,breakfast,peanut-butter-jam,\ne11807,2017/09/28,lunch,indian food,\ne11811,2017/09/29,breakfast,\"eggs, sausages, and bread\",\ne11812,2017/09/29,lunch,chinese food,\"Emily, Carter, Andrew\"\ne11813,2017/09/29,dinner,tacos,Emily\ne11815,2017/09/30,breakfast,pancakes,\"Kinsley, Rylee, Eva, Hazel, Nora, Avery, Piper\"\ne11816,2017/09/30,dinner,tacos,\"Andrew, Carter, Kayden, Emily\"\ne11822,2017/10/02,lunch,sushi,\ne11826,2017/10/03,breakfast,peanut-butter-jam,\"Willow, Benjamin, Avery\"\ne11827,2017/10/03,dinner,indian food,\ne11833,2017/10/05,breakfast,cereals,\"Olivia, Piper, Nevaeh, Hazel, Rylee, Layla, Kinsley\"\ne11836,2017/10/06,breakfast,\"eggs, sausages, and bread\",\"Avery, Willow\"\ne11839,2017/10/07,breakfast,\"eggs, sausages, and bread\",Rylee\ne11840,2017/10/07,dinner,a burger,\ne11843,2017/10/08,breakfast,toast and cheese,\ne11848,2017/10/10,breakfast,cereals,Piper\ne11856,2017/10/12,breakfast,oatmeal,\ne11857,2017/10/12,lunch,sandwich,\"Layla, Piper, Hazel\"\ne11858,2017/10/12,dinner,sandwich,\ne11860,2017/10/13,lunch,tacos,\ne11865,2017/10/14,breakfast,cereals,\"Carter, Emily, Kayden, Andrew\"\ne11866,2017/10/14,lunch,chinese food,\ne11867,2017/10/14,dinner,tacos,\ne11870,2017/10/15,dinner,indian food,\ne11872,2017/10/16,breakfast,peanut-butter-jam,\"Emily, Kayden, Carter\"\ne11873,2017/10/16,lunch,sandwich,\ne11874,2017/10/16,dinner,pasta,\ne11876,2017/10/17,lunch,tacos,\ne11877,2017/10/17,dinner,sushi,Avery\ne11880,2017/10/18,breakfast,oatmeal,\"Nevaeh, Kinsley, Avery, Piper, Eva, Piper, Claire, Layla, Olivia, Rylee, Hazel, Nora, Lydia\"\ne11881,2017/10/18,lunch,chinese food,\ne11885,2017/10/19,lunch,steak,\ne11887,2017/10/20,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden, Carter\"\ne11888,2017/10/20,dinner,sandwich,\ne11891,2017/10/21,breakfast,peanut-butter-jam,\"Eva, Nevaeh, Layla, Claire, Lydia, Piper, Avery, Rylee, Hazel, Olivia, Piper, Kinsley\"\ne11894,2017/10/22,dinner,indian food,Carter\ne11895,2017/10/23,dinner,indian food,\ne11900,2017/10/24,breakfast,\"eggs, sausages, and bread\",\ne11901,2017/10/24,lunch,sushi,\ne11902,2017/10/24,dinner,chinese food,\ne11905,2017/10/25,lunch,tacos,\ne11907,2017/10/26,breakfast,oatmeal,\"Avery, Piper, Nevaeh, Eva, Kinsley, Olivia, Nora, Layla, Lydia\"\ne11911,2017/10/27,breakfast,\"eggs, sausages, and bread\",\ne11912,2017/10/27,lunch,pasta,\"Kayden, Andrew\"\ne11913,2017/10/27,dinner,sandwich,\ne11917,2017/10/28,lunch,indian food,\ne11918,2017/10/28,dinner,sandwich,\ne11920,2017/10/29,lunch,chinese food,\ne11925,2017/10/31,breakfast,peanut-butter-jam,Willow\ne11926,2017/10/31,lunch,steak,\ne11928,2017/11/01,breakfast,oatmeal,\ne11932,2017/11/02,lunch,fish and chips,\ne11937,2017/11/04,breakfast,oatmeal,Carter\ne11939,2017/11/05,lunch,sandwich,\ne11940,2017/11/05,dinner,chinese food,\ne11944,2017/11/06,dinner,chinese food,\ne11947,2017/11/07,lunch,sushi,\"Carter, Andrew, Emily\"\ne11948,2017/11/07,dinner,sandwich,\"Kayden, Emily\"\ne11952,2017/11/08,breakfast,toast and cheese,\"Andrew, Carter\"\ne11953,2017/11/08,lunch,sandwich,\ne11954,2017/11/08,dinner,indian food,\ne11959,2017/11/09,dinner,steak,\"Claire, Layla, Kinsley, Nevaeh, Hazel, Piper, Eva, Piper, Avery, Olivia\"\ne11962,2017/11/10,lunch,steak,\ne11965,2017/11/11,lunch,indian food,\ne11966,2017/11/11,dinner,tacos,\"Carter, Andrew\"\ne11971,2017/11/13,lunch,sandwich,\"Jackson, Avery, Benjamin\"\ne11974,2017/11/14,breakfast,cereals,\ne11975,2017/11/14,lunch,a burger,\ne11979,2017/11/15,dinner,fish and chips,\ne11982,2017/11/16,lunch,indian food,Benjamin\ne11985,2017/11/17,dinner,tacos,\"Emily, Andrew, Carter, Kayden\"\ne11988,2017/11/18,lunch,sushi,Emily\ne11989,2017/11/18,dinner,steak,\"Emily, Carter, Andrew\"\ne11993,2017/11/19,breakfast,oatmeal,\ne11994,2017/11/19,dinner,tacos,\ne11997,2017/11/20,breakfast,pancakes,\"Emily, Carter, Kayden\"\ne11999,2017/11/21,breakfast,cereals,\ne12000,2017/11/22,dinner,tacos,\"Nora, Hazel, Olivia, Avery, Eva, Lydia, Kinsley, Rylee, Layla\"\ne12003,2017/11/23,breakfast,\"eggs, sausages, and bread\",Andrew\ne12004,2017/11/23,lunch,indian food,\"Kayden, Emily, Carter, Andrew\"\ne12005,2017/11/23,dinner,tacos,\ne12014,2017/11/26,lunch,chinese food,\ne12016,2017/11/27,lunch,indian food,\ne12018,2017/11/28,lunch,tacos,\ne12019,2017/11/28,dinner,sandwich,\ne12022,2017/11/29,lunch,sushi,\ne12023,2017/11/29,dinner,sandwich,\"Nevaeh, Avery, Eva, Hazel, Rylee, Piper, Nora, Lydia\"\ne12031,2017/12/01,breakfast,oatmeal,\ne12032,2017/12/01,dinner,chinese food,\ne12035,2017/12/02,breakfast,toast and cheese,Andrew\ne12036,2017/12/02,lunch,chinese food,\ne12037,2017/12/02,dinner,a burger,\ne12038,2017/12/03,breakfast,toast and cheese,\ne12039,2017/12/03,dinner,sandwich,\"Willow, Jackson\"\ne12043,2017/12/04,lunch,sushi,\ne12044,2017/12/04,dinner,tacos,\"Avery, Benjamin, Willow\"\ne12048,2017/12/05,lunch,sushi,\ne12049,2017/12/05,dinner,sushi,\ne12050,2017/12/06,breakfast,\"eggs, sausages, and bread\",Emily\ne12052,2017/12/07,lunch,sandwich,\ne12056,2017/12/08,breakfast,oatmeal,Avery\ne12059,2017/12/09,breakfast,oatmeal,\ne12060,2017/12/09,lunch,sandwich,\"Carter, Andrew, Emily\"\ne12065,2017/12/10,lunch,fish and chips,\"Emily, Kayden, Carter\"\ne12066,2017/12/10,dinner,fish and chips,\ne12070,2017/12/11,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew, Emily, Carter\"\ne12071,2017/12/11,lunch,sushi,\"Emily, Andrew, Kayden, Carter\"\ne12072,2017/12/11,dinner,tacos,\ne12076,2017/12/12,lunch,chinese food,\"Emily, Kayden, Andrew, Carter\"\ne12079,2017/12/13,breakfast,\"eggs, sausages, and bread\",\ne12080,2017/12/13,dinner,pasta,\ne12083,2017/12/14,breakfast,cereals,\ne12084,2017/12/14,dinner,sandwich,\"Andrew, Carter\"\ne12088,2017/12/15,breakfast,peanut-butter-jam,\ne12089,2017/12/15,lunch,fish and chips,\ne12090,2017/12/15,dinner,pasta,\"Nora, Piper, Olivia, Kinsley\"\ne12094,2017/12/16,breakfast,\"eggs, sausages, and bread\",\"Avery, Willow\"\ne12095,2017/12/16,lunch,tacos,Kinsley\ne12100,2017/12/17,dinner,steak,\"Avery, Eva, Claire, Layla, Kinsley, Piper, Nevaeh, Lydia, Nora, Piper, Hazel\"\ne12105,2017/12/18,dinner,sandwich,\"Avery, Jackson, Willow, Benjamin\"\ne12108,2017/12/19,lunch,indian food,\ne12111,2017/12/20,breakfast,toast and cheese,\"Piper, Avery, Piper, Hazel, Layla, Kinsley, Nora, Eva, Olivia\"\ne12112,2017/12/20,lunch,fish and chips,\ne12113,2017/12/20,dinner,tacos,\ne12117,2017/12/21,breakfast,pancakes,\"Kayden, Emily, Andrew, Carter\"\ne12118,2017/12/21,dinner,tacos,\ne12120,2017/12/22,breakfast,\"eggs, sausages, and bread\",\ne12129,2017/12/25,dinner,sushi,\ne12131,2017/12/26,lunch,chinese food,\ne12135,2017/12/27,dinner,fish and chips,\"Piper, Lydia, Hazel, Nevaeh\"\ne12140,2017/12/28,lunch,sushi,\ne12141,2017/12/28,dinner,a burger,\ne12144,2017/12/29,breakfast,oatmeal,\ne12145,2017/12/29,dinner,pasta,\ne12148,2017/12/30,dinner,sandwich,\ne12285,2018/01/01,breakfast,pancakes,\"Nora, Hazel, Piper, Lydia, Claire, Layla, Rylee, Olivia, Nevaeh, Avery, Kinsley, Eva, Piper\"\ne12286,2018/01/02,breakfast,oatmeal,\ne12287,2018/01/02,dinner,sushi,\ne12291,2018/01/03,breakfast,pancakes,\ne12292,2018/01/03,lunch,sandwich,\"Avery, Eva, Rylee, Piper, Hazel, Layla, Olivia, Nora, Lydia, Nevaeh, Kinsley, Claire, Piper\"\ne12293,2018/01/04,breakfast,oatmeal,\"Carter, Kayden, Emily, Andrew\"\ne12296,2018/01/05,lunch,indian food,Emily\ne12297,2018/01/05,dinner,chinese food,\"Avery, Willow, Benjamin, Jackson\"\ne12299,2018/01/06,breakfast,\"eggs, sausages, and bread\",\ne12300,2018/01/06,dinner,indian food,Emily\ne12305,2018/01/08,dinner,sushi,\ne12307,2018/01/09,lunch,a burger,\ne12308,2018/01/09,dinner,chinese food,\ne12310,2018/01/10,breakfast,toast and cheese,\ne12311,2018/01/10,lunch,tacos,\ne12312,2018/01/10,dinner,a burger,\ne12315,2018/01/11,dinner,chinese food,\"Eva, Avery, Nora, Kinsley, Nevaeh, Piper, Layla\"\ne12324,2018/01/13,lunch,steak,\ne12327,2018/01/14,lunch,pasta,\ne12328,2018/01/14,dinner,steak,\"Andrew, Emily, Kayden\"\ne12333,2018/01/15,lunch,steak,\ne12335,2018/01/16,dinner,pasta,\"Andrew, Carter, Kayden, Emily\"\ne12338,2018/01/17,breakfast,pancakes,\"Benjamin, Willow, Jackson\"\ne12339,2018/01/17,dinner,pasta,\ne12343,2018/01/18,lunch,indian food,\ne12348,2018/01/19,breakfast,toast and cheese,\ne12350,2018/01/20,lunch,a burger,\ne12351,2018/01/20,dinner,tacos,\ne12354,2018/01/21,lunch,sushi,\ne12355,2018/01/21,dinner,indian food,\ne12360,2018/01/22,breakfast,\"eggs, sausages, and bread\",\ne12362,2018/01/23,breakfast,toast and cheese,\"Lydia, Olivia, Claire, Rylee, Layla, Eva, Nevaeh, Piper\"\ne12363,2018/01/23,lunch,tacos,Kayden\ne12366,2018/01/24,breakfast,oatmeal,\ne12367,2018/01/24,lunch,pasta,\"Carter, Andrew, Kayden, Emily\"\ne12370,2018/01/25,breakfast,\"eggs, sausages, and bread\",\"Nora, Hazel, Piper, Rylee, Claire, Piper, Olivia\"\ne12371,2018/01/25,lunch,fish and chips,\"Claire, Nora\"\ne12372,2018/01/25,dinner,a burger,\"Claire, Nevaeh, Nora, Layla, Piper, Rylee, Piper, Olivia, Eva\"\ne12376,2018/01/26,breakfast,oatmeal,\ne12377,2018/01/26,lunch,fish and chips,\ne12378,2018/01/26,dinner,a burger,\"Andrew, Emily\"\ne12381,2018/01/27,breakfast,toast and cheese,\ne12382,2018/01/27,dinner,fish and chips,\"Benjamin, Avery, Willow, Jackson\"\ne12387,2018/01/29,breakfast,\"eggs, sausages, and bread\",\ne12388,2018/01/29,lunch,steak,\ne12392,2018/01/30,breakfast,peanut-butter-jam,\ne12393,2018/01/31,breakfast,oatmeal,\ne12397,2018/02/01,dinner,pasta,\"Emily, Andrew, Kayden\"\ne12401,2018/02/02,dinner,fish and chips,\ne12405,2018/02/03,breakfast,oatmeal,\ne12406,2018/02/04,breakfast,cereals,\"Eva, Layla, Kinsley, Claire, Nevaeh, Lydia, Piper, Hazel, Rylee, Avery, Olivia, Nora\"\ne12407,2018/02/04,lunch,sushi,\ne12408,2018/02/04,dinner,chinese food,\"Kayden, Emily, Andrew, Carter\"\ne12409,2018/02/05,breakfast,pancakes,\ne12412,2018/02/06,breakfast,cereals,Carter\ne12413,2018/02/06,lunch,steak,\ne12414,2018/02/06,dinner,tacos,\"Avery, Benjamin, Willow\"\ne12418,2018/02/07,breakfast,cereals,\"Andrew, Carter, Kayden, Emily\"\ne12420,2018/02/08,breakfast,cereals,Andrew\ne12423,2018/02/09,breakfast,peanut-butter-jam,\ne12424,2018/02/09,dinner,a burger,\ne12431,2018/02/12,breakfast,toast and cheese,\"Andrew, Emily, Kayden, Carter\"\ne12432,2018/02/12,dinner,pasta,\ne12434,2018/02/13,breakfast,toast and cheese,\ne12435,2018/02/13,dinner,indian food,\ne12437,2018/02/15,breakfast,pancakes,\ne12438,2018/02/15,lunch,a burger,\ne12442,2018/02/16,breakfast,oatmeal,\"Nevaeh, Piper, Avery, Kinsley, Claire, Rylee, Piper\"\ne12443,2018/02/16,lunch,tacos,\ne12449,2018/02/17,lunch,steak,\ne12450,2018/02/17,dinner,fish and chips,\"Hazel, Nevaeh, Rylee, Piper, Nora\"\ne12452,2018/02/18,dinner,tacos,\ne12457,2018/02/19,dinner,sandwich,\"Emily, Kayden, Andrew\"\ne12461,2018/02/20,breakfast,oatmeal,Kayden\ne12462,2018/02/20,lunch,sandwich,\ne12463,2018/02/20,dinner,fish and chips,\ne12465,2018/02/21,breakfast,pancakes,\"Emily, Kayden, Carter, Andrew\"\ne12466,2018/02/21,lunch,steak,\ne12467,2018/02/21,dinner,tacos,\"Nevaeh, Avery, Nora, Olivia, Kinsley, Claire, Eva, Hazel, Piper, Lydia\"\ne12471,2018/02/22,lunch,sandwich,\ne12474,2018/02/23,breakfast,toast and cheese,\"Emily, Andrew, Kayden, Carter\"\ne12477,2018/02/24,breakfast,toast and cheese,\ne12478,2018/02/24,lunch,pasta,\"Benjamin, Avery\"\ne12479,2018/02/24,dinner,steak,\ne12484,2018/02/25,breakfast,oatmeal,\ne12485,2018/02/25,dinner,steak,Kayden\ne12489,2018/02/26,breakfast,toast and cheese,\ne12490,2018/02/26,lunch,chinese food,\ne12494,2018/02/27,breakfast,oatmeal,\"Kayden, Emily, Carter, Andrew\"\ne12495,2018/02/27,lunch,sandwich,\ne12500,2018/03/01,breakfast,pancakes,\ne12501,2018/03/01,lunch,sushi,\ne12503,2018/03/02,lunch,sandwich,\ne12504,2018/03/02,dinner,steak,Emily\ne12506,2018/03/03,dinner,a burger,\ne12508,2018/03/04,breakfast,pancakes,\"Jackson, Benjamin, Avery\"\ne12509,2018/03/04,dinner,a burger,\ne12513,2018/03/05,breakfast,toast and cheese,Benjamin\ne12514,2018/03/05,dinner,tacos,\"Jackson, Willow, Benjamin\"\ne12517,2018/03/06,breakfast,cereals,\"Avery, Piper, Rylee, Olivia, Lydia, Nora, Hazel, Nevaeh\"\ne12518,2018/03/07,breakfast,oatmeal,\ne12520,2018/03/08,breakfast,oatmeal,\ne12522,2018/03/09,breakfast,cereals,\"Avery, Willow, Benjamin, Jackson\"\ne12523,2018/03/09,lunch,sandwich,\"Nora, Kinsley, Piper, Hazel, Avery, Layla\"\ne12524,2018/03/09,dinner,pasta,\"Carter, Kayden\"\ne12527,2018/03/10,breakfast,oatmeal,\ne12528,2018/03/10,dinner,sushi,\"Nevaeh, Avery\"\ne12531,2018/03/11,breakfast,oatmeal,\"Piper, Nevaeh, Olivia, Kinsley, Eva, Lydia, Nora, Layla, Avery, Claire, Hazel, Rylee\"\ne12532,2018/03/12,lunch,a burger,\ne12533,2018/03/12,dinner,pasta,\ne12537,2018/03/13,breakfast,\"eggs, sausages, and bread\",\ne12538,2018/03/13,lunch,chinese food,\"Andrew, Emily, Kayden\"\ne12541,2018/03/14,breakfast,\"eggs, sausages, and bread\",\ne12542,2018/03/14,dinner,tacos,\"Carter, Emily, Andrew\"\ne12545,2018/03/15,lunch,pasta,\ne12546,2018/03/15,dinner,chinese food,\"Layla, Eva, Kinsley, Hazel, Nevaeh, Rylee\"\ne12549,2018/03/16,lunch,pasta,\ne12552,2018/03/17,breakfast,toast and cheese,\"Kayden, Carter\"\ne12553,2018/03/17,dinner,sandwich,\ne12556,2018/03/18,breakfast,pancakes,\ne12557,2018/03/18,dinner,tacos,\ne12561,2018/03/19,breakfast,peanut-butter-jam,\"Kinsley, Piper, Rylee, Lydia, Hazel, Layla, Avery\"\ne12562,2018/03/19,lunch,fish and chips,\"Claire, Nevaeh, Avery, Hazel, Kinsley, Rylee, Nora, Olivia, Layla\"\ne12565,2018/03/20,breakfast,oatmeal,\ne12566,2018/03/20,lunch,tacos,\"Kayden, Emily\"\ne12567,2018/03/20,dinner,sandwich,\ne12569,2018/03/21,breakfast,\"eggs, sausages, and bread\",\ne12570,2018/03/21,lunch,sushi,\ne12572,2018/03/22,lunch,sushi,Kayden\ne12576,2018/03/23,breakfast,\"eggs, sausages, and bread\",\ne12577,2018/03/23,lunch,sandwich,\ne12579,2018/03/24,breakfast,toast and cheese,\ne12580,2018/03/24,dinner,steak,\"Carter, Emily, Andrew, Kayden\"\ne12584,2018/03/25,lunch,sandwich,\ne12587,2018/03/26,dinner,sushi,\ne12591,2018/03/27,breakfast,cereals,\ne12592,2018/03/27,lunch,indian food,\ne12595,2018/03/28,dinner,steak,\ne12599,2018/03/29,breakfast,cereals,\"Jackson, Willow, Benjamin\"\ne12600,2018/03/29,lunch,indian food,\ne12605,2018/03/31,lunch,sandwich,\"Avery, Hazel, Lydia, Kinsley, Claire, Piper, Rylee, Olivia, Nevaeh, Layla, Nora, Eva\"\ne12606,2018/03/31,dinner,steak,\ne12608,2018/04/01,dinner,tacos,Kayden\ne12611,2018/04/02,breakfast,peanut-butter-jam,\ne12612,2018/04/02,dinner,sushi,\ne12616,2018/04/03,breakfast,cereals,\ne12617,2018/04/03,lunch,fish and chips,\ne12618,2018/04/03,dinner,chinese food,\ne12622,2018/04/04,breakfast,peanut-butter-jam,\"Lydia, Rylee, Nora, Olivia, Piper, Nevaeh, Kinsley, Avery, Layla, Claire\"\ne12623,2018/04/04,dinner,a burger,\ne12626,2018/04/06,breakfast,toast and cheese,\ne12628,2018/04/07,lunch,tacos,Avery\ne12629,2018/04/07,dinner,chinese food,\ne12633,2018/04/09,breakfast,oatmeal,\ne12634,2018/04/09,dinner,a burger,\ne12637,2018/04/11,lunch,sushi,Willow\ne12641,2018/04/12,breakfast,peanut-butter-jam,\"Claire, Nevaeh, Hazel, Olivia, Nora\"\ne12642,2018/04/12,lunch,pasta,\"Rylee, Olivia, Eva, Nevaeh, Layla, Piper, Lydia, Avery, Hazel, Kinsley, Claire\"\ne12643,2018/04/12,dinner,steak,\ne12648,2018/04/13,lunch,pasta,\"Nora, Piper, Lydia, Claire, Eva, Kinsley, Layla, Olivia, Piper, Rylee, Avery, Nevaeh, Hazel\"\ne12649,2018/04/13,dinner,sandwich,\"Eva, Nevaeh, Piper, Lydia, Layla, Olivia, Hazel, Rylee, Kinsley, Claire, Piper\"\ne12652,2018/04/14,breakfast,cereals,\ne12653,2018/04/14,dinner,sandwich,\ne12656,2018/04/15,breakfast,cereals,\"Nora, Kinsley, Avery, Eva, Hazel, Nevaeh, Olivia, Layla\"\ne12657,2018/04/15,dinner,chinese food,\"Olivia, Nevaeh, Rylee, Piper, Kinsley, Piper, Avery, Hazel, Claire, Nora, Eva, Lydia\"\ne12660,2018/04/16,breakfast,peanut-butter-jam,\ne12661,2018/04/16,dinner,sushi,\"Willow, Avery\"\ne12665,2018/04/17,lunch,sushi,\"Jackson, Willow, Benjamin\"\ne12666,2018/04/17,dinner,sandwich,\ne12669,2018/04/18,breakfast,\"eggs, sausages, and bread\",\ne12671,2018/04/19,breakfast,\"eggs, sausages, and bread\",\ne12672,2018/04/19,lunch,steak,Kayden\ne12674,2018/04/20,breakfast,oatmeal,\ne12675,2018/04/20,lunch,fish and chips,\ne12676,2018/04/20,dinner,pasta,\"Piper, Nora, Olivia\"\ne12680,2018/04/21,dinner,tacos,\ne12683,2018/04/22,breakfast,cereals,\ne12686,2018/04/23,breakfast,pancakes,\"Nora, Lydia, Avery, Piper, Olivia, Layla, Piper, Rylee, Nevaeh, Eva\"\ne12687,2018/04/23,dinner,steak,\ne12690,2018/04/24,lunch,fish and chips,\ne12691,2018/04/24,dinner,tacos,\ne12695,2018/04/25,breakfast,\"eggs, sausages, and bread\",\ne12698,2018/04/26,breakfast,toast and cheese,Andrew\ne12699,2018/04/26,dinner,pasta,\ne12702,2018/04/27,breakfast,oatmeal,\ne12704,2018/04/28,breakfast,peanut-butter-jam,\"Willow, Avery, Jackson, Benjamin\"\ne12705,2018/04/28,lunch,sushi,\ne12709,2018/04/29,breakfast,cereals,Kinsley\ne12710,2018/04/29,lunch,sushi,\ne12715,2018/04/30,breakfast,oatmeal,\ne12719,2018/05/01,breakfast,cereals,\"Lydia, Olivia, Kinsley, Claire, Avery, Nora, Nevaeh, Layla, Rylee, Hazel\"\ne12722,2018/05/02,breakfast,peanut-butter-jam,\"Carter, Emily, Andrew\"\ne12723,2018/05/02,dinner,indian food,\ne12727,2018/05/03,breakfast,\"eggs, sausages, and bread\",\ne12734,2018/05/05,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew, Kayden\"\ne12735,2018/05/05,dinner,sushi,\ne12740,2018/05/06,lunch,indian food,\ne12741,2018/05/06,dinner,fish and chips,\ne12745,2018/05/07,breakfast,cereals,\ne12750,2018/05/08,breakfast,pancakes,\"Jackson, Willow, Avery, Benjamin\"\ne12751,2018/05/08,dinner,sandwich,\ne12755,2018/05/09,dinner,sushi,\ne12762,2018/05/11,dinner,sushi,\ne12766,2018/05/12,lunch,steak,\"Carter, Andrew, Emily\"\ne12770,2018/05/13,breakfast,oatmeal,\"Emily, Andrew, Kayden, Carter\"\ne12771,2018/05/13,dinner,indian food,\ne12775,2018/05/14,breakfast,peanut-butter-jam,\ne12776,2018/05/14,lunch,steak,\"Andrew, Emily, Carter, Kayden\"\ne12780,2018/05/15,breakfast,oatmeal,\ne12781,2018/05/15,dinner,indian food,\"Emily, Kayden, Carter, Andrew\"\ne12782,2018/05/16,dinner,a burger,\ne12786,2018/05/17,dinner,tacos,\ne12790,2018/05/19,breakfast,toast and cheese,\"Andrew, Kayden\"\ne12798,2018/05/22,breakfast,pancakes,\ne12799,2018/05/22,lunch,chinese food,\"Avery, Willow, Jackson, Benjamin\"\ne12800,2018/05/22,dinner,a burger,\"Andrew, Carter, Kayden\"\ne12802,2018/05/23,dinner,indian food,\ne12804,2018/05/24,breakfast,pancakes,\ne12805,2018/05/24,dinner,chinese food,\ne12809,2018/05/25,breakfast,\"eggs, sausages, and bread\",\ne12811,2018/05/26,breakfast,\"eggs, sausages, and bread\",\ne12812,2018/05/26,lunch,pasta,\"Emily, Andrew, Kayden\"\ne12813,2018/05/26,dinner,sushi,\ne12818,2018/05/27,lunch,steak,\ne12824,2018/05/29,breakfast,oatmeal,\ne12825,2018/05/29,dinner,sandwich,\ne12827,2018/05/30,breakfast,pancakes,\ne12830,2018/05/31,breakfast,toast and cheese,\ne12834,2018/06/01,breakfast,\"eggs, sausages, and bread\",\"Claire, Hazel, Piper\"\ne12841,2018/06/03,breakfast,toast and cheese,Andrew\ne12842,2018/06/03,lunch,tacos,\ne12843,2018/06/03,dinner,indian food,\"Kayden, Andrew\"\ne12845,2018/06/04,breakfast,peanut-butter-jam,\ne12846,2018/06/04,dinner,pasta,\"Andrew, Emily, Kayden\"\ne12849,2018/06/05,dinner,tacos,\ne12852,2018/06/06,breakfast,oatmeal,\ne12853,2018/06/06,lunch,indian food,\ne12854,2018/06/06,dinner,steak,\"Emily, Kayden, Carter\"\ne12857,2018/06/07,dinner,a burger,\ne12860,2018/06/08,breakfast,toast and cheese,\ne12861,2018/06/08,dinner,a burger,Carter\ne12865,2018/06/09,breakfast,peanut-butter-jam,\ne12866,2018/06/09,lunch,tacos,\"Andrew, Kayden, Emily\"\ne12871,2018/06/10,lunch,sandwich,\"Andrew, Emily\"\ne12872,2018/06/10,dinner,fish and chips,\ne12874,2018/06/11,lunch,steak,\ne12877,2018/06/12,dinner,steak,\"Piper, Nevaeh, Eva, Kinsley, Avery, Claire, Lydia, Piper, Rylee, Layla\"\ne12880,2018/06/13,breakfast,cereals,\ne12881,2018/06/13,lunch,steak,\"Jackson, Willow, Avery\"\ne12885,2018/06/14,lunch,steak,\"Kinsley, Olivia, Layla, Eva, Hazel, Nevaeh, Rylee\"\ne12886,2018/06/14,dinner,a burger,\ne12889,2018/06/15,breakfast,oatmeal,\ne12890,2018/06/15,dinner,sandwich,\"Kayden, Carter, Andrew, Emily\"\ne12892,2018/06/16,lunch,pasta,\ne12893,2018/06/16,dinner,fish and chips,\"Piper, Eva, Hazel, Claire\"\ne12895,2018/06/17,breakfast,oatmeal,Jackson\ne12896,2018/06/17,lunch,a burger,\ne12897,2018/06/17,dinner,fish and chips,\ne12901,2018/06/18,breakfast,\"eggs, sausages, and bread\",Carter\ne12905,2018/06/19,breakfast,peanut-butter-jam,\ne12908,2018/06/20,breakfast,oatmeal,\ne12909,2018/06/20,lunch,sandwich,\ne12910,2018/06/20,dinner,sushi,\ne12912,2018/06/21,lunch,sushi,\ne12913,2018/06/21,dinner,sandwich,\"Rylee, Claire, Piper, Hazel\"\ne12917,2018/06/22,breakfast,oatmeal,\"Kayden, Andrew, Carter, Emily\"\ne12918,2018/06/22,lunch,steak,\"Lydia, Rylee, Piper, Avery, Kinsley, Piper, Nora, Layla, Olivia, Claire\"\ne12919,2018/06/22,dinner,steak,\ne12923,2018/06/23,lunch,a burger,\ne12924,2018/06/23,dinner,sushi,\"Andrew, Kayden\"\ne12928,2018/06/24,lunch,sandwich,Claire\ne12931,2018/06/25,dinner,pasta,\ne12935,2018/06/26,dinner,tacos,\ne12943,2018/06/29,lunch,steak,Carter\ne12944,2018/06/29,dinner,sandwich,\"Lydia, Claire, Olivia, Kinsley, Piper, Rylee, Hazel, Layla, Nevaeh, Piper, Nora, Avery\"\ne12947,2018/06/30,dinner,tacos,\"Andrew, Emily\"\ne12950,2018/07/01,breakfast,oatmeal,\"Kinsley, Layla, Hazel, Avery, Lydia, Eva, Rylee, Piper, Claire, Olivia\"\ne12951,2018/07/01,lunch,indian food,\ne12959,2018/07/03,breakfast,toast and cheese,\ne12960,2018/07/03,lunch,sushi,\ne12964,2018/07/04,breakfast,toast and cheese,\ne12965,2018/07/04,dinner,steak,\"Kayden, Emily, Carter\"\ne12966,2018/07/05,breakfast,peanut-butter-jam,\ne12970,2018/07/06,lunch,steak,\"Nevaeh, Lydia, Eva, Olivia, Avery, Piper, Piper, Layla, Hazel\"\ne12972,2018/07/07,breakfast,toast and cheese,\ne12975,2018/07/08,lunch,sushi,\ne12976,2018/07/08,dinner,fish and chips,\"Andrew, Kayden\"\ne12978,2018/07/09,dinner,sushi,\ne12981,2018/07/10,lunch,tacos,\ne12985,2018/07/11,lunch,sandwich,\"Nevaeh, Eva, Avery, Lydia, Nora, Hazel, Kinsley, Claire, Piper, Piper, Rylee\"\ne12986,2018/07/11,dinner,steak,\ne12990,2018/07/12,breakfast,\"eggs, sausages, and bread\",\ne12993,2018/07/13,dinner,fish and chips,\ne12997,2018/07/14,breakfast,\"eggs, sausages, and bread\",\"Avery, Willow, Jackson\"\ne12998,2018/07/14,dinner,a burger,\"Benjamin, Avery, Jackson, Willow\"\ne13001,2018/07/15,lunch,indian food,\"Emily, Kayden, Carter, Andrew\"\ne13002,2018/07/15,dinner,sandwich,\ne13004,2018/07/16,breakfast,oatmeal,\ne13006,2018/07/17,lunch,sushi,\"Benjamin, Jackson, Willow, Avery\"\ne13007,2018/07/17,dinner,sandwich,\ne13011,2018/07/18,breakfast,peanut-butter-jam,\ne13012,2018/07/18,dinner,indian food,\ne13016,2018/07/19,breakfast,peanut-butter-jam,\ne13017,2018/07/19,lunch,fish and chips,\ne13018,2018/07/19,dinner,fish and chips,Jackson\ne13021,2018/07/20,breakfast,toast and cheese,\ne13022,2018/07/20,dinner,chinese food,\ne13025,2018/07/21,breakfast,\"eggs, sausages, and bread\",\"Nevaeh, Eva, Claire, Kinsley, Avery, Rylee, Layla, Nora, Lydia, Olivia, Piper, Hazel, Piper\"\ne13026,2018/07/21,dinner,steak,\ne13027,2018/07/22,breakfast,oatmeal,\ne13028,2018/07/22,dinner,tacos,\"Benjamin, Jackson\"\ne13033,2018/07/23,breakfast,pancakes,\ne13038,2018/07/24,lunch,chinese food,\ne13041,2018/07/25,breakfast,cereals,\"Carter, Kayden, Andrew, Emily\"\ne13046,2018/07/26,breakfast,peanut-butter-jam,\ne13052,2018/07/28,lunch,steak,\"Andrew, Carter\"\ne13056,2018/07/29,breakfast,oatmeal,\ne13057,2018/07/29,lunch,fish and chips,\ne13058,2018/07/29,dinner,pasta,Willow\ne13063,2018/07/30,breakfast,peanut-butter-jam,\ne13064,2018/07/30,lunch,tacos,\"Carter, Emily\"\ne13067,2018/07/31,breakfast,toast and cheese,\"Carter, Emily\"\ne13068,2018/07/31,lunch,fish and chips,\"Avery, Eva, Nora, Lydia, Piper, Rylee, Layla\"\ne13069,2018/07/31,dinner,steak,\"Andrew, Emily\"\ne13073,2018/08/01,dinner,indian food,\ne13075,2018/08/02,breakfast,oatmeal,\"Lydia, Kinsley, Piper, Olivia, Hazel, Nora, Piper, Avery, Layla, Claire\"\ne13076,2018/08/02,lunch,steak,\ne13077,2018/08/02,dinner,pasta,\ne13081,2018/08/03,breakfast,pancakes,\ne13082,2018/08/03,lunch,tacos,\ne13083,2018/08/03,dinner,steak,\ne13088,2018/08/04,breakfast,pancakes,\"Avery, Nora, Layla\"\ne13089,2018/08/04,dinner,fish and chips,\"Willow, Avery, Jackson, Benjamin\"\ne13093,2018/08/05,breakfast,oatmeal,\"Piper, Piper, Claire, Avery, Nora\"\ne13094,2018/08/05,dinner,sandwich,\ne13098,2018/08/06,lunch,steak,\"Emily, Andrew, Kayden\"\ne13099,2018/08/06,dinner,pasta,\ne13105,2018/08/08,lunch,fish and chips,\"Carter, Andrew, Emily\"\ne13106,2018/08/08,dinner,fish and chips,\ne13107,2018/08/09,breakfast,peanut-butter-jam,\ne13109,2018/08/10,breakfast,oatmeal,\ne13110,2018/08/10,dinner,steak,\ne13114,2018/08/11,lunch,indian food,\ne13119,2018/08/12,breakfast,toast and cheese,\"Carter, Kayden, Andrew\"\ne13120,2018/08/12,lunch,a burger,\"Piper, Nevaeh, Kinsley, Piper, Hazel, Nora, Rylee, Avery, Layla, Olivia, Claire, Lydia\"\ne13121,2018/08/12,dinner,a burger,\ne13122,2018/08/13,breakfast,\"eggs, sausages, and bread\",\"Rylee, Nora, Kinsley, Hazel, Layla, Claire, Piper, Lydia, Piper, Avery, Olivia, Eva\"\ne13126,2018/08/14,breakfast,cereals,\ne13129,2018/08/15,breakfast,oatmeal,\ne13130,2018/08/15,dinner,sandwich,\"Nora, Piper, Claire, Lydia, Olivia, Hazel, Nevaeh, Eva, Avery\"\ne13132,2018/08/17,breakfast,cereals,\"Kayden, Emily, Carter\"\ne13133,2018/08/17,lunch,a burger,\ne13137,2018/08/18,breakfast,oatmeal,\ne13141,2018/08/19,breakfast,\"eggs, sausages, and bread\",\ne13145,2018/08/21,lunch,indian food,Andrew\ne13146,2018/08/21,dinner,a burger,\ne13148,2018/08/22,breakfast,cereals,\"Andrew, Kayden, Carter\"\ne13149,2018/08/22,lunch,chinese food,\ne13150,2018/08/22,dinner,fish and chips,\"Kayden, Andrew, Carter\"\ne13154,2018/08/23,lunch,pasta,\ne13155,2018/08/23,dinner,tacos,\ne13158,2018/08/24,lunch,steak,Kayden\ne13161,2018/08/25,breakfast,cereals,\"Willow, Avery, Benjamin\"\ne13162,2018/08/25,lunch,steak,\ne13165,2018/08/26,lunch,pasta,\ne13166,2018/08/26,dinner,pasta,\"Emily, Andrew\"\ne13170,2018/08/27,breakfast,cereals,\ne13171,2018/08/27,dinner,chinese food,\ne13172,2018/08/28,lunch,sushi,\ne13175,2018/08/29,breakfast,oatmeal,\"Nora, Lydia, Piper, Kinsley, Rylee, Nevaeh, Claire, Olivia, Hazel, Layla\"\ne13176,2018/08/29,dinner,fish and chips,\"Kayden, Emily\"\ne13178,2018/08/30,breakfast,toast and cheese,Jackson\ne13179,2018/08/30,lunch,indian food,\ne13186,2018/09/01,breakfast,toast and cheese,\ne13187,2018/09/01,dinner,pasta,\ne13190,2018/09/02,breakfast,cereals,\ne13191,2018/09/02,lunch,sushi,\ne13194,2018/09/03,lunch,sushi,\"Jackson, Willow\"\ne13197,2018/09/04,breakfast,cereals,\ne13198,2018/09/04,lunch,a burger,\"Emily, Kayden, Andrew\"\ne13199,2018/09/04,dinner,steak,\ne13202,2018/09/05,lunch,sushi,\ne13203,2018/09/05,dinner,chinese food,\"Avery, Jackson\"\ne13204,2018/09/06,breakfast,pancakes,\"Carter, Emily\"\ne13206,2018/09/07,breakfast,\"eggs, sausages, and bread\",\ne13207,2018/09/07,lunch,a burger,\ne13208,2018/09/07,dinner,sushi,\ne13211,2018/09/08,dinner,steak,\ne13214,2018/09/09,dinner,indian food,Layla\ne13219,2018/09/10,dinner,chinese food,\ne13222,2018/09/11,breakfast,oatmeal,\ne13223,2018/09/11,dinner,pasta,\"Carter, Andrew, Kayden, Emily\"\ne13225,2018/09/12,breakfast,cereals,\"Nora, Avery, Olivia, Eva, Hazel, Piper, Claire, Nevaeh, Piper, Lydia\"\ne13227,2018/09/13,breakfast,toast and cheese,\ne13228,2018/09/13,lunch,steak,\"Andrew, Kayden, Carter\"\ne13229,2018/09/14,dinner,chinese food,\ne13234,2018/09/15,breakfast,\"eggs, sausages, and bread\",Jackson\ne13235,2018/09/15,lunch,chinese food,\ne13237,2018/09/16,breakfast,\"eggs, sausages, and bread\",\ne13238,2018/09/16,dinner,sushi,Carter\ne13241,2018/09/17,breakfast,\"eggs, sausages, and bread\",\ne13242,2018/09/17,lunch,steak,\ne13243,2018/09/17,dinner,tacos,\"Willow, Avery, Benjamin\"\ne13246,2018/09/18,breakfast,oatmeal,\"Andrew, Carter, Kayden\"\ne13247,2018/09/18,lunch,chinese food,\ne13248,2018/09/18,dinner,pasta,\ne13252,2018/09/19,breakfast,cereals,\"Andrew, Carter, Kayden\"\ne13253,2018/09/19,lunch,sandwich,\"Carter, Emily, Kayden\"\ne13258,2018/09/20,lunch,sandwich,\ne13266,2018/09/22,lunch,a burger,\ne13271,2018/09/23,lunch,indian food,\ne13276,2018/09/24,breakfast,pancakes,Emily\ne13277,2018/09/24,lunch,steak,\ne13279,2018/09/25,breakfast,\"eggs, sausages, and bread\",Nevaeh\ne13282,2018/09/26,lunch,sushi,\ne13283,2018/09/26,dinner,sushi,\ne13287,2018/09/27,lunch,indian food,\"Willow, Avery, Benjamin, Jackson\"\ne13288,2018/09/27,dinner,steak,\ne13291,2018/09/28,breakfast,pancakes,\ne13292,2018/09/28,dinner,indian food,\"Emily, Carter, Andrew, Kayden\"\ne13299,2018/09/30,breakfast,\"eggs, sausages, and bread\",\ne13303,2018/10/01,breakfast,\"eggs, sausages, and bread\",\ne13304,2018/10/01,lunch,sushi,\"Emily, Andrew, Kayden, Carter\"\ne13305,2018/10/01,dinner,pasta,\ne13314,2018/10/04,dinner,chinese food,\ne13318,2018/10/05,breakfast,oatmeal,\ne13319,2018/10/06,breakfast,peanut-butter-jam,\ne13320,2018/10/06,dinner,steak,\ne13323,2018/10/07,lunch,tacos,\"Emily, Andrew, Carter\"\ne13324,2018/10/07,dinner,a burger,\ne13328,2018/10/08,breakfast,pancakes,\ne13332,2018/10/09,breakfast,peanut-butter-jam,\"Andrew, Carter, Emily\"\ne13333,2018/10/09,lunch,sushi,\ne13334,2018/10/09,dinner,steak,\ne13335,2018/10/10,dinner,fish and chips,\ne13337,2018/10/11,breakfast,pancakes,\"Emily, Kayden\"\ne13338,2018/10/11,lunch,sushi,\ne13342,2018/10/12,breakfast,oatmeal,\"Andrew, Kayden, Emily\"\ne13343,2018/10/12,lunch,indian food,\ne13344,2018/10/12,dinner,indian food,\"Andrew, Emily, Carter\"\ne13352,2018/10/15,lunch,tacos,\ne13356,2018/10/16,breakfast,\"eggs, sausages, and bread\",\ne13357,2018/10/16,dinner,sandwich,\ne13360,2018/10/17,breakfast,peanut-butter-jam,\"Emily, Andrew, Kayden\"\ne13363,2018/10/18,breakfast,pancakes,Kayden\ne13364,2018/10/18,dinner,tacos,\"Carter, Emily, Kayden, Andrew\"\ne13366,2018/10/19,breakfast,cereals,\"Benjamin, Jackson\"\ne13367,2018/10/19,lunch,chinese food,\ne13368,2018/10/19,dinner,pasta,Jackson\ne13371,2018/10/20,breakfast,\"eggs, sausages, and bread\",\ne13374,2018/10/21,lunch,steak,\ne13375,2018/10/21,dinner,fish and chips,\"Kayden, Andrew\"\ne13379,2018/10/22,dinner,tacos,\"Andrew, Kayden, Emily\"\ne13383,2018/10/23,lunch,fish and chips,\ne13384,2018/10/23,dinner,fish and chips,\ne13387,2018/10/24,breakfast,\"eggs, sausages, and bread\",\ne13391,2018/10/25,breakfast,pancakes,\ne13392,2018/10/25,lunch,pasta,\ne13396,2018/10/28,dinner,a burger,\ne13399,2018/10/29,lunch,a burger,Jackson\ne13402,2018/10/31,breakfast,peanut-butter-jam,\ne13407,2018/11/02,breakfast,cereals,\ne13410,2018/11/03,breakfast,\"eggs, sausages, and bread\",Avery\ne13411,2018/11/03,lunch,fish and chips,\ne13418,2018/11/06,breakfast,\"eggs, sausages, and bread\",\ne13419,2018/11/06,lunch,steak,\"Carter, Emily, Andrew\"\ne13420,2018/11/06,dinner,sushi,\ne13422,2018/11/07,breakfast,pancakes,\ne13423,2018/11/07,lunch,a burger,\ne13426,2018/11/08,breakfast,cereals,\ne13427,2018/11/08,dinner,chinese food,\"Emily, Andrew, Kayden, Carter\"\ne13430,2018/11/09,breakfast,pancakes,\"Carter, Kayden, Emily\"\ne13431,2018/11/09,lunch,tacos,\"Rylee, Eva, Piper, Hazel, Kinsley, Olivia, Lydia, Nora, Layla, Nevaeh\"\ne13435,2018/11/10,lunch,indian food,\ne13438,2018/11/11,breakfast,cereals,Nora\ne13439,2018/11/11,lunch,a burger,\ne13442,2018/11/12,lunch,a burger,\ne13446,2018/11/14,lunch,sandwich,\ne13447,2018/11/14,dinner,pasta,\ne13451,2018/11/15,breakfast,pancakes,\"Kinsley, Rylee, Nora, Avery, Eva, Hazel, Piper, Nevaeh\"\ne13452,2018/11/15,dinner,indian food,\"Benjamin, Avery, Jackson\"\ne13456,2018/11/16,breakfast,pancakes,\ne13457,2018/11/16,lunch,tacos,\"Claire, Avery, Rylee, Lydia, Piper, Layla, Kinsley, Nora, Olivia, Eva, Piper, Hazel\"\ne13461,2018/11/17,breakfast,\"eggs, sausages, and bread\",\"Piper, Kinsley, Eva, Claire, Hazel, Avery, Rylee, Nora, Lydia, Nevaeh, Piper, Olivia, Layla\"\ne13462,2018/11/17,lunch,indian food,\ne13463,2018/11/17,dinner,sushi,\ne13467,2018/11/18,dinner,sushi,\ne13472,2018/11/20,dinner,fish and chips,\ne13475,2018/11/21,breakfast,\"eggs, sausages, and bread\",\ne13476,2018/11/21,lunch,sandwich,\"Avery, Jackson, Willow\"\ne13477,2018/11/21,dinner,sushi,Emily\ne13480,2018/11/22,lunch,sushi,\ne13482,2018/11/23,breakfast,cereals,\ne13483,2018/11/23,lunch,chinese food,\"Carter, Kayden, Andrew, Emily\"\ne13484,2018/11/23,dinner,pasta,Jackson\ne13488,2018/11/24,breakfast,cereals,\ne13489,2018/11/24,lunch,sushi,\"Emily, Andrew, Kayden, Carter\"\ne13494,2018/11/25,lunch,tacos,\ne13495,2018/11/25,dinner,sandwich,\ne13498,2018/11/26,breakfast,toast and cheese,\"Eva, Olivia, Nora\"\ne13499,2018/11/26,dinner,sandwich,\ne13503,2018/11/28,dinner,steak,\ne13506,2018/11/29,lunch,steak,\ne13509,2018/11/30,breakfast,peanut-butter-jam,\"Piper, Layla, Nora\"\ne13510,2018/11/30,lunch,tacos,\"Olivia, Piper\"\ne13511,2018/11/30,dinner,indian food,Kinsley\ne13517,2018/12/01,lunch,steak,\ne13520,2018/12/02,dinner,chinese food,\ne13523,2018/12/03,breakfast,oatmeal,\"Andrew, Emily, Carter\"\ne13524,2018/12/03,dinner,a burger,\ne13527,2018/12/04,breakfast,oatmeal,\"Jackson, Avery, Willow, Benjamin\"\ne13528,2018/12/04,lunch,sushi,\"Benjamin, Avery, Jackson\"\ne13532,2018/12/05,breakfast,toast and cheese,\ne13533,2018/12/05,dinner,a burger,\"Piper, Nora, Olivia, Piper, Lydia, Rylee, Nevaeh, Avery, Eva, Hazel, Layla, Claire\"\ne13535,2018/12/06,lunch,sandwich,\ne13540,2018/12/07,breakfast,peanut-butter-jam,\ne13541,2018/12/07,lunch,indian food,\"Avery, Claire, Eva, Rylee, Layla, Nora\"\ne13542,2018/12/07,dinner,indian food,\"Piper, Kinsley, Nora, Avery, Lydia, Claire, Rylee, Olivia, Layla, Eva\"\ne13547,2018/12/08,dinner,pasta,\ne13552,2018/12/09,lunch,fish and chips,\ne13555,2018/12/10,lunch,a burger,\"Rylee, Nevaeh, Olivia\"\ne13556,2018/12/10,dinner,sandwich,\ne13558,2018/12/11,breakfast,peanut-butter-jam,\ne13560,2018/12/12,breakfast,peanut-butter-jam,\"Layla, Nora\"\ne13562,2018/12/13,lunch,a burger,\ne13563,2018/12/13,dinner,indian food,\ne13566,2018/12/14,breakfast,peanut-butter-jam,\"Kayden, Emily, Carter, Andrew\"\ne13567,2018/12/14,dinner,chinese food,\"Piper, Lydia, Avery, Nora, Eva, Rylee\"\ne13570,2018/12/16,breakfast,oatmeal,\ne13573,2018/12/17,breakfast,\"eggs, sausages, and bread\",\"Piper, Rylee, Lydia, Avery, Claire, Layla, Piper, Kinsley, Nevaeh, Olivia, Nora\"\ne13574,2018/12/17,lunch,sushi,\ne13576,2018/12/18,breakfast,pancakes,\ne13577,2018/12/18,lunch,tacos,\ne13578,2018/12/18,dinner,sushi,\ne13582,2018/12/19,lunch,steak,\ne13583,2018/12/19,dinner,chinese food,\ne13585,2018/12/20,breakfast,oatmeal,\"Piper, Layla, Eva, Nevaeh, Olivia, Avery, Piper, Nora, Kinsley\"\ne13586,2018/12/20,dinner,tacos,\ne13591,2018/12/22,lunch,sushi,\ne13592,2018/12/22,dinner,pasta,\ne13597,2018/12/23,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden\"\ne13598,2018/12/23,lunch,fish and chips,\ne13600,2018/12/24,breakfast,\"eggs, sausages, and bread\",\ne13601,2018/12/24,dinner,chinese food,\ne13603,2018/12/25,breakfast,peanut-butter-jam,\"Benjamin, Jackson\"\ne13604,2018/12/25,dinner,a burger,\"Claire, Nevaeh, Olivia, Hazel, Lydia, Eva, Piper, Piper, Rylee, Avery, Nora\"\ne13610,2018/12/26,dinner,chinese food,\"Andrew, Kayden, Carter\"\ne13612,2018/12/27,dinner,tacos,\ne13615,2018/12/28,dinner,a burger,\"Kinsley, Rylee, Avery, Piper, Hazel, Olivia, Layla, Nora, Piper\"\ne13619,2018/12/29,breakfast,\"eggs, sausages, and bread\",\ne13622,2018/12/30,breakfast,pancakes,\"Benjamin, Willow, Jackson\"\ne13625,2018/12/31,lunch,a burger,\ne13626,2018/12/31,dinner,tacos,\"Andrew, Emily\"\ne13765,2019/01/02,breakfast,oatmeal,\"Avery, Olivia, Hazel\"\ne13769,2019/01/03,lunch,sandwich,\ne13770,2019/01/03,dinner,indian food,\"Andrew, Emily, Kayden, Carter\"\ne13772,2019/01/04,lunch,pasta,\ne13773,2019/01/04,dinner,sushi,\ne13777,2019/01/05,breakfast,pancakes,\ne13778,2019/01/05,lunch,pasta,\ne13779,2019/01/05,dinner,chinese food,\"Avery, Nora, Claire, Olivia, Eva, Rylee, Piper, Nevaeh, Layla, Piper, Kinsley, Lydia\"\ne13781,2019/01/06,breakfast,pancakes,\"Kinsley, Lydia, Claire, Olivia, Rylee, Layla, Nevaeh, Nora, Piper, Hazel\"\ne13782,2019/01/06,lunch,chinese food,\ne13783,2019/01/06,dinner,steak,\"Andrew, Carter, Emily\"\ne13785,2019/01/07,breakfast,cereals,\ne13786,2019/01/07,lunch,sushi,\ne13788,2019/01/08,lunch,a burger,\"Andrew, Emily\"\ne13789,2019/01/08,dinner,steak,\ne13792,2019/01/09,breakfast,oatmeal,\ne13795,2019/01/10,breakfast,pancakes,\ne13798,2019/01/11,breakfast,oatmeal,\ne13799,2019/01/11,dinner,sushi,\ne13802,2019/01/12,lunch,steak,\ne13803,2019/01/12,dinner,tacos,\"Nora, Hazel, Lydia, Olivia, Eva, Piper, Piper, Rylee, Avery, Layla, Claire, Nevaeh, Kinsley\"\ne13806,2019/01/13,breakfast,oatmeal,\ne13807,2019/01/13,lunch,sandwich,\"Rylee, Hazel, Layla, Nora, Nevaeh\"\ne13808,2019/01/13,dinner,indian food,\ne13816,2019/01/16,dinner,pasta,\ne13820,2019/01/17,lunch,tacos,\ne13821,2019/01/17,dinner,sandwich,\"Andrew, Emily\"\ne13824,2019/01/18,breakfast,toast and cheese,Emily\ne13825,2019/01/18,dinner,steak,\ne13829,2019/01/19,breakfast,\"eggs, sausages, and bread\",\"Avery, Benjamin, Willow, Jackson\"\ne13830,2019/01/19,lunch,fish and chips,\ne13835,2019/01/20,breakfast,oatmeal,\ne13840,2019/01/23,dinner,sandwich,\"Rylee, Piper, Piper, Nora, Eva, Olivia, Avery, Layla, Hazel, Kinsley, Lydia, Claire, Nevaeh\"\ne13845,2019/01/25,breakfast,oatmeal,\ne13850,2019/01/26,breakfast,cereals,\ne13851,2019/01/26,lunch,pasta,\"Kayden, Emily, Carter\"\ne13853,2019/01/27,breakfast,pancakes,\ne13854,2019/01/27,lunch,indian food,\"Nevaeh, Piper, Lydia, Kinsley, Avery, Layla, Eva, Hazel, Olivia, Nora, Piper, Claire\"\ne13855,2019/01/27,dinner,tacos,\"Carter, Kayden\"\ne13859,2019/01/28,lunch,sushi,\"Piper, Hazel, Lydia\"\ne13863,2019/01/29,breakfast,toast and cheese,\ne13864,2019/01/29,lunch,fish and chips,\"Kayden, Emily, Carter, Andrew\"\ne13865,2019/01/29,dinner,sandwich,\ne13869,2019/01/30,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden, Carter\"\ne13870,2019/01/30,lunch,pasta,\"Avery, Benjamin\"\ne13873,2019/01/31,lunch,steak,\"Eva, Hazel, Nevaeh, Piper, Avery, Claire, Kinsley, Nora\"\ne13874,2019/01/31,dinner,sushi,\ne13877,2019/02/01,breakfast,cereals,\ne13878,2019/02/01,dinner,chinese food,\ne13884,2019/02/03,breakfast,pancakes,\"Emily, Kayden\"\ne13885,2019/02/03,lunch,steak,\"Avery, Willow, Benjamin\"\ne13886,2019/02/03,dinner,fish and chips,\ne13888,2019/02/04,breakfast,oatmeal,\ne13889,2019/02/04,lunch,fish and chips,\ne13891,2019/02/05,breakfast,toast and cheese,\"Piper, Rylee\"\ne13892,2019/02/05,lunch,steak,\ne13893,2019/02/05,dinner,sandwich,\ne13898,2019/02/07,breakfast,oatmeal,\"Avery, Jackson, Benjamin\"\ne13910,2019/02/10,breakfast,toast and cheese,\ne13912,2019/02/11,dinner,sushi,\"Layla, Lydia, Nevaeh, Hazel, Rylee\"\ne13914,2019/02/12,lunch,sandwich,Andrew\ne13915,2019/02/12,dinner,sushi,\"Rylee, Claire\"\ne13917,2019/02/13,dinner,sushi,\"Avery, Willow, Benjamin\"\ne13924,2019/02/15,breakfast,pancakes,Benjamin\ne13925,2019/02/16,breakfast,pancakes,\"Jackson, Willow\"\ne13926,2019/02/16,dinner,a burger,\ne13930,2019/02/17,dinner,indian food,\ne13934,2019/02/18,breakfast,pancakes,\ne13935,2019/02/18,dinner,sandwich,\ne13940,2019/02/19,lunch,sandwich,\ne13945,2019/02/20,lunch,pasta,\ne13947,2019/02/21,lunch,steak,\"Willow, Jackson, Benjamin, Avery\"\ne13948,2019/02/21,dinner,tacos,\ne13950,2019/02/22,lunch,fish and chips,\ne13951,2019/02/22,dinner,a burger,\ne13957,2019/02/25,breakfast,peanut-butter-jam,\"Andrew, Carter, Kayden, Emily\"\ne13958,2019/02/25,lunch,a burger,\ne13959,2019/02/25,dinner,pasta,\ne13964,2019/02/26,dinner,pasta,\ne13971,2019/02/28,dinner,fish and chips,\"Willow, Benjamin\"\ne13974,2019/03/01,breakfast,pancakes,\"Emily, Andrew, Carter\"\ne13975,2019/03/01,lunch,a burger,\ne13976,2019/03/01,dinner,pasta,\ne13979,2019/03/02,breakfast,cereals,\"Emily, Kayden\"\ne13980,2019/03/02,dinner,tacos,\ne13986,2019/03/05,lunch,steak,\"Carter, Andrew, Emily, Kayden\"\ne13987,2019/03/05,dinner,chinese food,\"Benjamin, Jackson, Avery\"\ne13991,2019/03/06,lunch,indian food,\"Andrew, Carter, Emily, Kayden\"\ne13993,2019/03/07,breakfast,toast and cheese,\"Emily, Andrew, Carter\"\ne13995,2019/03/08,breakfast,toast and cheese,\ne13996,2019/03/08,lunch,a burger,\ne14004,2019/03/11,breakfast,pancakes,\ne14005,2019/03/11,dinner,chinese food,Kayden\ne14006,2019/03/12,breakfast,cereals,\ne14007,2019/03/12,dinner,steak,\ne14010,2019/03/13,lunch,indian food,\ne14015,2019/03/14,breakfast,\"eggs, sausages, and bread\",Andrew\ne14016,2019/03/14,lunch,steak,\"Nevaeh, Nora, Olivia, Rylee, Lydia, Eva, Hazel, Layla, Claire, Kinsley, Piper\"\ne14017,2019/03/14,dinner,steak,\ne14021,2019/03/15,lunch,tacos,\"Carter, Emily\"\ne14026,2019/03/16,lunch,chinese food,\ne14028,2019/03/17,lunch,tacos,\ne14031,2019/03/18,breakfast,oatmeal,\ne14032,2019/03/18,dinner,tacos,\"Jackson, Benjamin, Avery, Willow\"\ne14035,2019/03/19,lunch,sandwich,\ne14037,2019/03/20,breakfast,cereals,\ne14041,2019/03/22,breakfast,toast and cheese,\ne14042,2019/03/22,dinner,a burger,\ne14046,2019/03/23,breakfast,toast and cheese,\"Jackson, Avery, Willow, Benjamin\"\ne14048,2019/03/24,lunch,sandwich,\ne14050,2019/03/25,breakfast,toast and cheese,\"Carter, Kayden, Emily, Andrew\"\ne14051,2019/03/25,lunch,indian food,\"Piper, Kinsley, Claire\"\ne14052,2019/03/25,dinner,sandwich,\ne14055,2019/03/26,breakfast,\"eggs, sausages, and bread\",\"Eva, Rylee, Piper, Claire, Lydia, Nevaeh, Avery, Piper, Olivia, Layla, Nora\"\ne14056,2019/03/26,dinner,chinese food,\"Benjamin, Avery, Willow, Jackson\"\ne14058,2019/03/27,lunch,fish and chips,\ne14059,2019/03/27,dinner,indian food,\ne14064,2019/03/28,lunch,fish and chips,\ne14067,2019/03/29,breakfast,cereals,\ne14068,2019/03/29,dinner,indian food,\ne14072,2019/03/30,breakfast,pancakes,\"Emily, Kayden, Carter, Andrew\"\ne14073,2019/03/30,dinner,indian food,\ne14077,2019/03/31,lunch,sushi,\"Rylee, Nora, Nevaeh, Hazel, Claire, Piper, Olivia, Avery\"\ne14080,2019/04/01,lunch,tacos,\"Rylee, Avery, Layla, Nevaeh, Olivia\"\ne14081,2019/04/01,dinner,a burger,\"Piper, Rylee, Avery, Claire, Piper, Kinsley, Nevaeh, Eva\"\ne14083,2019/04/02,breakfast,peanut-butter-jam,\"Lydia, Eva\"\ne14084,2019/04/02,lunch,tacos,\"Rylee, Hazel, Piper, Piper, Claire, Avery, Kinsley, Nevaeh, Nora, Eva, Olivia, Layla, Lydia\"\ne14086,2019/04/03,dinner,fish and chips,\"Avery, Benjamin\"\ne14089,2019/04/04,lunch,a burger,\ne14090,2019/04/04,dinner,sushi,\ne14094,2019/04/05,breakfast,\"eggs, sausages, and bread\",\ne14095,2019/04/05,lunch,sushi,\ne14098,2019/04/06,lunch,tacos,\"Emily, Andrew, Kayden\"\ne14099,2019/04/07,lunch,pasta,\"Nora, Piper, Layla, Rylee, Olivia, Claire, Avery, Lydia\"\ne14100,2019/04/07,dinner,pasta,\"Kayden, Carter\"\ne14103,2019/04/08,breakfast,\"eggs, sausages, and bread\",\ne14104,2019/04/08,dinner,chinese food,\"Olivia, Layla, Avery, Nevaeh, Rylee, Hazel, Piper\"\ne14109,2019/04/09,dinner,a burger,Emily\ne14112,2019/04/10,breakfast,peanut-butter-jam,\"Emily, Andrew, Carter\"\ne14113,2019/04/10,lunch,tacos,\ne14120,2019/04/12,lunch,steak,\ne14121,2019/04/12,dinner,chinese food,\"Emily, Kayden, Carter\"\ne14124,2019/04/14,breakfast,peanut-butter-jam,\"Carter, Andrew, Emily, Kayden\"\ne14125,2019/04/14,dinner,indian food,\"Piper, Nevaeh, Rylee, Hazel, Kinsley\"\ne14127,2019/04/15,dinner,sandwich,Emily\ne14129,2019/04/16,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Andrew\"\ne14130,2019/04/16,lunch,sushi,\"Nevaeh, Rylee, Claire, Avery, Olivia, Eva\"\ne14132,2019/04/17,lunch,fish and chips,\ne14138,2019/04/19,breakfast,peanut-butter-jam,Andrew\ne14142,2019/04/20,lunch,sandwich,\ne14143,2019/04/20,dinner,indian food,\ne14146,2019/04/21,lunch,chinese food,\ne14150,2019/04/22,lunch,tacos,\"Benjamin, Jackson, Willow\"\ne14151,2019/04/22,dinner,sandwich,\ne14154,2019/04/23,breakfast,\"eggs, sausages, and bread\",\ne14155,2019/04/23,lunch,sushi,\"Carter, Emily, Andrew\"\ne14159,2019/04/24,lunch,chinese food,\ne14165,2019/04/26,breakfast,toast and cheese,\"Rylee, Lydia, Olivia, Hazel, Nora, Piper, Eva, Claire, Piper, Kinsley, Avery, Nevaeh\"\ne14166,2019/04/26,lunch,indian food,\"Kayden, Carter, Emily\"\ne14167,2019/04/26,dinner,steak,\"Nora, Piper, Rylee, Olivia, Piper, Kinsley, Hazel, Nevaeh, Layla, Eva, Avery, Lydia, Claire\"\ne14171,2019/04/27,breakfast,pancakes,\ne14172,2019/04/27,lunch,tacos,Emily\ne14173,2019/04/27,dinner,fish and chips,\ne14177,2019/04/28,breakfast,toast and cheese,\"Avery, Olivia, Hazel, Piper, Kinsley, Claire, Piper, Lydia, Layla, Rylee, Nevaeh\"\ne14178,2019/04/28,lunch,sushi,Willow\ne14179,2019/04/28,dinner,pasta,\ne14181,2019/04/29,lunch,pasta,\ne14182,2019/04/29,dinner,sandwich,\ne14185,2019/04/30,breakfast,oatmeal,\ne14186,2019/04/30,dinner,tacos,\"Piper, Olivia\"\ne14194,2019/05/02,breakfast,pancakes,\ne14198,2019/05/03,lunch,pasta,\"Carter, Andrew, Kayden, Emily\"\ne14202,2019/05/04,lunch,pasta,\ne14203,2019/05/04,dinner,sandwich,\ne14207,2019/05/05,breakfast,peanut-butter-jam,\ne14208,2019/05/05,lunch,chinese food,\"Kayden, Andrew\"\ne14210,2019/05/06,dinner,sushi,\"Kinsley, Hazel, Lydia\"\ne14212,2019/05/07,breakfast,cereals,\ne14213,2019/05/07,lunch,steak,\"Layla, Eva, Claire, Piper, Hazel, Piper, Lydia, Avery\"\ne14214,2019/05/07,dinner,sushi,\"Willow, Jackson\"\ne14217,2019/05/08,lunch,tacos,\"Willow, Benjamin, Avery\"\ne14219,2019/05/09,lunch,pasta,\ne14221,2019/05/10,breakfast,\"eggs, sausages, and bread\",Avery\ne14222,2019/05/10,dinner,chinese food,\ne14227,2019/05/11,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Willow, Jackson, Avery\"\ne14228,2019/05/11,dinner,tacos,\"Claire, Lydia, Avery, Nevaeh, Eva, Kinsley, Nora, Hazel, Rylee, Layla\"\ne14230,2019/05/12,lunch,sandwich,\ne14231,2019/05/12,dinner,steak,\ne14234,2019/05/13,breakfast,peanut-butter-jam,\ne14235,2019/05/13,lunch,sandwich,\ne14236,2019/05/13,dinner,tacos,\ne14238,2019/05/14,breakfast,toast and cheese,\ne14239,2019/05/14,dinner,tacos,\ne14243,2019/05/15,breakfast,\"eggs, sausages, and bread\",Andrew\ne14244,2019/05/15,lunch,pasta,Andrew\ne14245,2019/05/15,dinner,chinese food,\"Kayden, Carter, Andrew\"\ne14247,2019/05/16,breakfast,peanut-butter-jam,\ne14248,2019/05/16,dinner,a burger,\"Avery, Benjamin, Jackson\"\ne14256,2019/05/18,breakfast,toast and cheese,\ne14257,2019/05/18,lunch,fish and chips,\ne14258,2019/05/18,dinner,steak,Kayden\ne14262,2019/05/19,breakfast,pancakes,\"Emily, Carter, Andrew\"\ne14265,2019/05/20,lunch,chinese food,\ne14271,2019/05/21,lunch,sushi,\ne14274,2019/05/22,breakfast,peanut-butter-jam,\ne14275,2019/05/22,dinner,pasta,\ne14279,2019/05/23,breakfast,peanut-butter-jam,\ne14280,2019/05/23,lunch,fish and chips,\ne14283,2019/05/24,breakfast,pancakes,Emily\ne14284,2019/05/24,lunch,sandwich,\ne14285,2019/05/24,dinner,tacos,\ne14287,2019/05/25,lunch,fish and chips,\ne14288,2019/05/25,dinner,sushi,\"Lydia, Olivia, Layla, Avery, Eva, Piper, Piper, Rylee, Nevaeh, Nora, Claire, Kinsley, Hazel\"\ne14292,2019/05/26,lunch,pasta,\ne14293,2019/05/26,dinner,sandwich,\"Kayden, Andrew\"\ne14298,2019/05/27,breakfast,\"eggs, sausages, and bread\",\ne14299,2019/05/27,dinner,a burger,\ne14301,2019/05/28,breakfast,pancakes,\ne14302,2019/05/28,lunch,indian food,\ne14303,2019/05/28,dinner,a burger,\ne14305,2019/05/29,dinner,sandwich,\"Hazel, Layla, Nevaeh, Claire, Eva\"\ne14309,2019/05/30,lunch,fish and chips,\"Nevaeh, Hazel, Avery, Rylee, Piper, Piper, Layla, Lydia, Nora, Kinsley, Olivia\"\ne14310,2019/05/31,breakfast,peanut-butter-jam,\ne14311,2019/05/31,dinner,a burger,\ne14313,2019/06/01,lunch,a burger,\ne14314,2019/06/01,dinner,steak,\"Jackson, Avery\"\ne14321,2019/06/03,dinner,fish and chips,\ne14324,2019/06/04,lunch,tacos,\"Kayden, Carter\"\ne14328,2019/06/05,breakfast,oatmeal,\ne14329,2019/06/05,dinner,fish and chips,\"Benjamin, Avery\"\ne14331,2019/06/06,breakfast,cereals,\ne14332,2019/06/06,dinner,sandwich,\ne14337,2019/06/07,dinner,fish and chips,\"Layla, Lydia, Nevaeh, Claire, Rylee, Kinsley, Nora, Hazel, Olivia, Piper, Piper, Eva\"\ne14341,2019/06/08,lunch,steak,\ne14342,2019/06/08,dinner,fish and chips,\ne14345,2019/06/09,breakfast,toast and cheese,\ne14346,2019/06/09,lunch,indian food,\ne14347,2019/06/09,dinner,steak,\ne14350,2019/06/10,breakfast,cereals,\"Kayden, Emily, Carter, Andrew\"\ne14351,2019/06/10,lunch,a burger,\ne14352,2019/06/10,dinner,a burger,\"Hazel, Eva, Piper, Kinsley, Layla, Rylee, Avery, Nevaeh, Lydia\"\ne14358,2019/06/12,breakfast,oatmeal,\ne14359,2019/06/12,lunch,pasta,\ne14361,2019/06/13,lunch,fish and chips,\"Olivia, Kinsley, Piper, Claire, Nevaeh, Nora, Lydia\"\ne14365,2019/06/14,lunch,indian food,\"Nora, Eva, Lydia, Rylee, Hazel, Piper, Kinsley, Layla, Piper\"\ne14367,2019/06/15,breakfast,peanut-butter-jam,\ne14368,2019/06/15,dinner,steak,\"Carter, Kayden\"\ne14373,2019/06/16,lunch,pasta,\ne14376,2019/06/17,breakfast,\"eggs, sausages, and bread\",\ne14380,2019/06/18,breakfast,pancakes,\ne14381,2019/06/18,lunch,sandwich,\ne14382,2019/06/18,dinner,sushi,\ne14385,2019/06/20,breakfast,oatmeal,\ne14386,2019/06/20,dinner,chinese food,\ne14391,2019/06/21,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Avery, Jackson, Willow\"\ne14392,2019/06/21,lunch,pasta,\ne14393,2019/06/21,dinner,fish and chips,\ne14396,2019/06/22,lunch,indian food,\ne14397,2019/06/22,dinner,pasta,\ne14402,2019/06/23,lunch,pasta,\ne14403,2019/06/23,dinner,a burger,\"Kayden, Andrew\"\ne14406,2019/06/24,breakfast,peanut-butter-jam,\ne14411,2019/06/25,lunch,a burger,\ne14415,2019/06/26,breakfast,pancakes,\ne14420,2019/06/28,breakfast,cereals,\"Benjamin, Avery, Willow, Jackson\"\ne14421,2019/06/28,lunch,tacos,\"Carter, Emily\"\ne14425,2019/06/29,lunch,steak,\"Andrew, Kayden, Carter, Emily\"\ne14426,2019/06/29,dinner,pasta,\ne14429,2019/06/30,lunch,sushi,\ne14431,2019/07/01,lunch,fish and chips,\"Andrew, Carter, Emily, Kayden\"\ne14436,2019/07/02,breakfast,peanut-butter-jam,\"Willow, Jackson, Benjamin\"\ne14437,2019/07/02,lunch,steak,\ne14440,2019/07/03,breakfast,peanut-butter-jam,\ne14441,2019/07/03,lunch,fish and chips,\"Andrew, Emily\"\ne14445,2019/07/04,breakfast,oatmeal,\"Eva, Avery, Piper, Hazel\"\ne14446,2019/07/04,dinner,indian food,\ne14450,2019/07/05,dinner,sushi,\ne14451,2019/07/06,breakfast,toast and cheese,\"Rylee, Kinsley, Avery, Hazel, Claire\"\ne14452,2019/07/06,lunch,chinese food,\"Carter, Emily, Kayden\"\ne14453,2019/07/06,dinner,sandwich,Andrew\ne14457,2019/07/07,breakfast,pancakes,\"Emily, Andrew, Carter, Kayden\"\ne14458,2019/07/07,dinner,chinese food,Emily\ne14461,2019/07/08,dinner,fish and chips,\ne14462,2019/07/09,breakfast,\"eggs, sausages, and bread\",\ne14463,2019/07/09,lunch,tacos,\"Carter, Emily\"\ne14464,2019/07/09,dinner,sandwich,\ne14467,2019/07/10,breakfast,toast and cheese,\ne14471,2019/07/11,breakfast,toast and cheese,\ne14472,2019/07/11,lunch,pasta,\ne14486,2019/07/15,breakfast,peanut-butter-jam,\ne14487,2019/07/15,lunch,fish and chips,\ne14488,2019/07/15,dinner,indian food,\"Eva, Layla, Rylee, Piper, Nora\"\ne14490,2019/07/16,breakfast,oatmeal,\"Kinsley, Nevaeh, Eva, Layla, Olivia, Piper, Nora\"\ne14494,2019/07/17,breakfast,cereals,\"Jackson, Avery\"\ne14495,2019/07/17,dinner,indian food,\"Emily, Kayden\"\ne14498,2019/07/18,lunch,sandwich,\ne14499,2019/07/18,dinner,a burger,\ne14502,2019/07/19,breakfast,toast and cheese,\ne14503,2019/07/19,dinner,steak,\ne14505,2019/07/20,lunch,steak,\ne14509,2019/07/21,dinner,indian food,Carter\ne14510,2019/07/22,lunch,a burger,\ne14513,2019/07/23,breakfast,pancakes,\ne14514,2019/07/23,dinner,chinese food,\ne14516,2019/07/24,dinner,pasta,\ne14519,2019/07/25,dinner,sushi,\ne14523,2019/07/26,breakfast,oatmeal,\ne14524,2019/07/26,lunch,steak,\ne14525,2019/07/26,dinner,indian food,\"Andrew, Carter\"\ne14529,2019/07/27,lunch,chinese food,\ne14533,2019/07/28,lunch,fish and chips,\ne14534,2019/07/28,dinner,pasta,\ne14538,2019/07/29,lunch,chinese food,\ne14539,2019/07/29,dinner,tacos,\ne14542,2019/07/30,breakfast,pancakes,\"Carter, Andrew, Emily, Kayden\"\ne14543,2019/07/30,lunch,fish and chips,\ne14544,2019/07/30,dinner,chinese food,Emily\ne14547,2019/07/31,breakfast,pancakes,\ne14548,2019/07/31,lunch,a burger,\ne14549,2019/07/31,dinner,tacos,\ne14555,2019/08/02,breakfast,peanut-butter-jam,\ne14556,2019/08/02,lunch,pasta,\ne14559,2019/08/04,breakfast,peanut-butter-jam,Carter\ne14562,2019/08/05,lunch,pasta,\"Emily, Carter, Kayden\"\ne14563,2019/08/05,dinner,tacos,\"Hazel, Nevaeh, Piper, Piper\"\ne14569,2019/08/07,lunch,pasta,Nora\ne14574,2019/08/09,lunch,steak,\ne14575,2019/08/09,dinner,pasta,\ne14578,2019/08/10,breakfast,toast and cheese,Benjamin\ne14579,2019/08/10,lunch,fish and chips,\ne14583,2019/08/11,breakfast,oatmeal,\ne14593,2019/08/13,lunch,sandwich,\ne14598,2019/08/15,breakfast,pancakes,\ne14599,2019/08/15,lunch,indian food,\"Piper, Eva, Nora\"\ne14600,2019/08/15,dinner,fish and chips,\ne14603,2019/08/16,breakfast,\"eggs, sausages, and bread\",\ne14604,2019/08/16,lunch,sushi,\ne14608,2019/08/17,lunch,tacos,\ne14609,2019/08/17,dinner,a burger,Olivia\ne14612,2019/08/18,breakfast,toast and cheese,\ne14613,2019/08/18,lunch,chinese food,\ne14618,2019/08/19,breakfast,cereals,\"Andrew, Emily, Carter\"\ne14619,2019/08/19,lunch,tacos,\ne14620,2019/08/19,dinner,indian food,\ne14624,2019/08/20,breakfast,pancakes,\ne14625,2019/08/20,dinner,steak,\"Piper, Nevaeh, Avery, Lydia, Kinsley, Olivia, Hazel, Claire\"\ne14628,2019/08/21,lunch,fish and chips,\ne14634,2019/08/23,breakfast,oatmeal,\ne14635,2019/08/23,dinner,fish and chips,\ne14636,2019/08/24,lunch,a burger,\ne14641,2019/08/25,lunch,indian food,\ne14643,2019/08/26,lunch,steak,\"Kayden, Emily\"\ne14648,2019/08/28,breakfast,pancakes,Carter\ne14649,2019/08/28,lunch,a burger,Emily\ne14653,2019/08/29,breakfast,peanut-butter-jam,\ne14655,2019/08/30,dinner,fish and chips,\"Kayden, Carter, Andrew\"\ne14658,2019/08/31,breakfast,peanut-butter-jam,\ne14659,2019/08/31,dinner,fish and chips,\ne14664,2019/09/01,breakfast,oatmeal,\"Kayden, Emily, Carter\"\ne14665,2019/09/01,lunch,steak,\ne14666,2019/09/01,dinner,steak,Benjamin\ne14668,2019/09/02,breakfast,toast and cheese,\"Andrew, Emily\"\ne14669,2019/09/02,dinner,chinese food,\ne14674,2019/09/03,lunch,chinese food,\"Avery, Willow\"\ne14675,2019/09/03,dinner,tacos,\ne14678,2019/09/04,dinner,tacos,\ne14681,2019/09/05,lunch,tacos,\ne14682,2019/09/05,dinner,fish and chips,\ne14684,2019/09/06,breakfast,cereals,\"Nevaeh, Eva, Piper, Claire, Nora, Kinsley, Hazel, Lydia, Layla, Piper, Rylee\"\ne14688,2019/09/07,breakfast,toast and cheese,\ne14691,2019/09/08,breakfast,pancakes,Jackson\ne14692,2019/09/08,lunch,sandwich,\"Avery, Hazel, Eva, Kinsley, Claire, Rylee, Layla, Nora, Piper, Lydia, Nevaeh, Piper, Olivia\"\ne14693,2019/09/08,dinner,pasta,\ne14698,2019/09/10,lunch,pasta,\"Claire, Layla, Lydia, Nevaeh\"\ne14699,2019/09/10,dinner,fish and chips,\ne14702,2019/09/11,breakfast,pancakes,\"Emily, Carter, Kayden, Andrew\"\ne14704,2019/09/12,dinner,sushi,Emily\ne14706,2019/09/13,breakfast,pancakes,Jackson\ne14707,2019/09/13,lunch,sandwich,\ne14708,2019/09/13,dinner,tacos,\ne14711,2019/09/14,breakfast,pancakes,\"Emily, Carter, Kayden, Andrew\"\ne14715,2019/09/15,breakfast,cereals,\ne14716,2019/09/15,dinner,a burger,Hazel\ne14719,2019/09/16,dinner,tacos,\ne14723,2019/09/17,breakfast,pancakes,\ne14724,2019/09/17,lunch,pasta,Emily\ne14725,2019/09/17,dinner,sushi,\"Olivia, Nevaeh, Claire, Hazel, Piper, Rylee, Layla, Avery, Lydia, Eva, Nora\"\ne14726,2019/09/18,breakfast,\"eggs, sausages, and bread\",\ne14727,2019/09/18,lunch,tacos,Andrew\ne14728,2019/09/18,dinner,sandwich,\ne14731,2019/09/19,breakfast,cereals,\ne14736,2019/09/21,breakfast,cereals,\ne14737,2019/09/21,lunch,indian food,\ne14739,2019/09/22,breakfast,toast and cheese,\ne14741,2019/09/23,lunch,sushi,\"Nora, Kinsley, Rylee, Layla, Nevaeh, Eva, Lydia, Piper, Hazel, Olivia, Claire, Piper\"\ne14742,2019/09/23,dinner,indian food,Emily\ne14745,2019/09/24,breakfast,cereals,Jackson\ne14749,2019/09/25,breakfast,oatmeal,\"Kayden, Andrew\"\ne14750,2019/09/25,lunch,sandwich,\"Carter, Andrew, Emily\"\ne14754,2019/09/26,dinner,indian food,\ne14757,2019/09/27,lunch,sandwich,\ne14759,2019/09/28,dinner,tacos,\ne14763,2019/09/29,breakfast,cereals,\"Olivia, Piper, Lydia, Layla, Avery, Hazel, Claire, Nora, Rylee, Eva, Kinsley\"\ne14764,2019/09/29,lunch,steak,\"Nevaeh, Piper, Eva, Claire, Kinsley, Piper, Lydia, Nora, Layla, Avery\"\ne14765,2019/09/29,dinner,indian food,\"Avery, Nora, Layla, Piper, Rylee, Olivia, Eva, Nevaeh, Claire, Piper, Lydia, Kinsley, Hazel\"\ne14774,2019/10/02,dinner,a burger,\ne14777,2019/10/03,lunch,fish and chips,Andrew\ne14781,2019/10/04,breakfast,oatmeal,\"Carter, Kayden\"\ne14784,2019/10/05,lunch,a burger,\ne14787,2019/10/06,breakfast,\"eggs, sausages, and bread\",\ne14788,2019/10/06,dinner,a burger,\"Kinsley, Nora, Lydia\"\ne14790,2019/10/07,breakfast,cereals,\"Benjamin, Avery, Willow, Jackson\"\ne14791,2019/10/07,lunch,indian food,\ne14796,2019/10/08,breakfast,toast and cheese,\ne14797,2019/10/08,lunch,pasta,Jackson\ne14798,2019/10/08,dinner,tacos,\"Layla, Rylee, Hazel, Kinsley, Olivia, Nevaeh, Claire, Piper\"\ne14801,2019/10/09,lunch,fish and chips,\ne14804,2019/10/10,lunch,indian food,\ne14805,2019/10/10,dinner,pasta,\"Andrew, Kayden, Emily\"\ne14810,2019/10/11,breakfast,oatmeal,\"Benjamin, Avery, Willow\"\ne14817,2019/10/13,breakfast,\"eggs, sausages, and bread\",\ne14818,2019/10/13,lunch,indian food,\ne14819,2019/10/13,dinner,chinese food,Avery\ne14823,2019/10/14,breakfast,toast and cheese,\ne14824,2019/10/14,lunch,tacos,\"Piper, Piper, Layla, Eva, Nora\"\ne14826,2019/10/15,breakfast,cereals,\ne14827,2019/10/15,dinner,steak,\"Jackson, Avery, Benjamin, Willow\"\ne14831,2019/10/16,lunch,fish and chips,\ne14835,2019/10/17,lunch,pasta,\"Willow, Benjamin, Avery, Jackson\"\ne14836,2019/10/18,breakfast,oatmeal,\ne14837,2019/10/18,dinner,steak,\ne14840,2019/10/19,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter\"\ne14841,2019/10/19,lunch,fish and chips,\ne14842,2019/10/19,dinner,chinese food,\"Emily, Kayden, Andrew\"\ne14848,2019/10/21,breakfast,peanut-butter-jam,\ne14849,2019/10/21,dinner,sushi,\ne14853,2019/10/22,breakfast,pancakes,\ne14854,2019/10/22,lunch,fish and chips,\"Benjamin, Jackson, Avery, Willow\"\ne14858,2019/10/23,dinner,fish and chips,\"Kayden, Andrew, Emily\"\ne14860,2019/10/24,breakfast,\"eggs, sausages, and bread\",\ne14861,2019/10/24,dinner,fish and chips,\ne14863,2019/10/25,lunch,a burger,\ne14864,2019/10/25,dinner,chinese food,\"Piper, Nora, Eva, Nevaeh, Piper, Avery, Rylee, Kinsley, Layla\"\ne14867,2019/10/26,breakfast,cereals,\ne14868,2019/10/26,lunch,sushi,\ne14872,2019/10/27,breakfast,\"eggs, sausages, and bread\",\ne14873,2019/10/27,lunch,tacos,Kayden\ne14874,2019/10/27,dinner,fish and chips,\ne14881,2019/10/29,breakfast,oatmeal,\ne14882,2019/10/29,lunch,sushi,\ne14886,2019/10/30,lunch,sushi,\ne14891,2019/10/31,breakfast,oatmeal,\"Lydia, Hazel, Rylee, Kinsley, Avery, Nevaeh, Nora, Claire, Layla, Piper, Olivia, Piper, Eva\"\ne14892,2019/10/31,dinner,sushi,\ne14895,2019/11/02,lunch,fish and chips,\"Kayden, Emily, Andrew\"\ne14899,2019/11/03,dinner,tacos,\"Avery, Benjamin\"\ne14902,2019/11/04,breakfast,peanut-butter-jam,\ne14905,2019/11/05,lunch,sandwich,Benjamin\ne14906,2019/11/05,dinner,sandwich,\ne14908,2019/11/06,lunch,a burger,Willow\ne14909,2019/11/06,dinner,fish and chips,\ne14912,2019/11/07,dinner,steak,\"Carter, Emily\"\ne14916,2019/11/08,lunch,fish and chips,\ne14921,2019/11/10,breakfast,toast and cheese,\ne14922,2019/11/10,lunch,sushi,\ne14923,2019/11/10,dinner,steak,\ne14926,2019/11/11,lunch,indian food,\"Andrew, Emily, Kayden, Carter\"\ne14928,2019/11/12,breakfast,pancakes,\ne14929,2019/11/12,lunch,steak,\ne14930,2019/11/12,dinner,tacos,\"Emily, Andrew, Carter, Kayden\"\ne14936,2019/11/14,lunch,chinese food,\"Layla, Lydia\"\ne14938,2019/11/15,breakfast,pancakes,\ne14939,2019/11/15,lunch,sushi,\ne14946,2019/11/17,breakfast,toast and cheese,\"Nora, Claire, Rylee, Piper, Olivia, Eva, Nevaeh, Kinsley, Piper, Hazel, Layla, Avery\"\ne14947,2019/11/17,lunch,steak,\ne14949,2019/11/18,breakfast,peanut-butter-jam,\"Willow, Avery\"\ne14950,2019/11/18,dinner,sushi,\"Andrew, Kayden, Emily, Carter\"\ne14952,2019/11/19,dinner,steak,\ne14953,2019/11/20,breakfast,\"eggs, sausages, and bread\",\ne14956,2019/11/21,breakfast,\"eggs, sausages, and bread\",\ne14960,2019/11/22,lunch,indian food,\ne14961,2019/11/22,dinner,sandwich,\"Kayden, Emily, Andrew, Carter\"\ne14962,2019/11/23,breakfast,pancakes,Kayden\ne14963,2019/11/23,lunch,sandwich,\ne14964,2019/11/23,dinner,a burger,\ne14969,2019/11/24,breakfast,toast and cheese,\ne14970,2019/11/24,lunch,steak,\"Avery, Benjamin\"\ne14971,2019/11/24,dinner,tacos,\ne14974,2019/11/25,lunch,fish and chips,\"Hazel, Claire, Olivia, Piper, Eva, Rylee, Piper, Layla, Kinsley\"\ne14977,2019/11/26,breakfast,peanut-butter-jam,\ne14978,2019/11/26,dinner,a burger,\ne14981,2019/11/27,lunch,indian food,\"Willow, Avery, Jackson\"\ne14982,2019/11/27,dinner,steak,\ne14987,2019/11/29,breakfast,toast and cheese,\ne14988,2019/11/29,lunch,chinese food,\ne14989,2019/11/29,dinner,sushi,Kayden\ne14991,2019/11/30,dinner,pasta,\ne14994,2019/12/01,lunch,pasta,\"Willow, Avery\"\ne14998,2019/12/02,lunch,pasta,\ne15006,2019/12/04,breakfast,pancakes,\ne15007,2019/12/04,lunch,steak,\"Carter, Kayden, Andrew\"\ne15010,2019/12/05,dinner,sandwich,\ne15015,2019/12/06,lunch,fish and chips,\ne15016,2019/12/06,dinner,chinese food,\ne15019,2019/12/07,breakfast,oatmeal,\ne15020,2019/12/07,lunch,sandwich,\ne15021,2019/12/07,dinner,chinese food,\"Kayden, Carter, Andrew, Emily\"\ne15024,2019/12/08,breakfast,\"eggs, sausages, and bread\",\"Claire, Rylee, Nevaeh, Piper, Nora, Hazel, Piper, Kinsley, Lydia\"\ne15025,2019/12/08,lunch,sandwich,\ne15026,2019/12/08,dinner,sandwich,\"Piper, Nevaeh, Lydia, Piper, Claire, Rylee, Kinsley, Avery, Nora, Olivia, Hazel, Eva\"\ne15028,2019/12/09,breakfast,pancakes,\ne15032,2019/12/10,dinner,a burger,\"Kayden, Andrew, Emily\"\ne15035,2019/12/11,dinner,steak,\"Andrew, Emily, Kayden, Carter\"\ne15036,2019/12/12,breakfast,oatmeal,\"Benjamin, Jackson, Avery\"\ne15037,2019/12/12,lunch,a burger,\ne15041,2019/12/13,lunch,sushi,\ne15042,2019/12/13,dinner,a burger,\ne15044,2019/12/14,lunch,fish and chips,\ne15048,2019/12/15,breakfast,pancakes,\"Avery, Hazel, Nevaeh, Claire\"\ne15049,2019/12/15,dinner,sandwich,\"Nevaeh, Piper, Piper\"\ne15053,2019/12/16,lunch,sushi,\"Kinsley, Layla, Eva, Piper\"\ne15054,2019/12/16,dinner,tacos,\ne15057,2019/12/17,lunch,tacos,\ne15058,2019/12/17,dinner,chinese food,\ne15060,2019/12/18,lunch,tacos,\"Emily, Carter, Andrew\"\ne15062,2019/12/19,breakfast,pancakes,\ne15063,2019/12/19,lunch,sandwich,\"Piper, Claire, Layla, Nora\"\ne15066,2019/12/20,breakfast,cereals,\ne15067,2019/12/20,lunch,chinese food,\ne15068,2019/12/20,dinner,tacos,Hazel\ne15071,2019/12/21,breakfast,\"eggs, sausages, and bread\",Willow\ne15075,2019/12/22,lunch,steak,\ne15079,2019/12/23,lunch,pasta,\"Nora, Nevaeh, Eva, Hazel, Claire\"\ne15083,2019/12/24,breakfast,pancakes,\"Willow, Jackson, Avery, Benjamin\"\ne15084,2019/12/24,lunch,fish and chips,\"Carter, Emily\"\ne15088,2019/12/25,breakfast,peanut-butter-jam,\ne15089,2019/12/25,dinner,pasta,\"Claire, Nevaeh, Kinsley, Hazel, Rylee, Olivia, Nora, Piper\"\ne15092,2019/12/26,breakfast,cereals,\ne15093,2019/12/26,dinner,tacos,\"Andrew, Carter, Kayden, Emily\"\ne15095,2019/12/27,breakfast,peanut-butter-jam,\ne15096,2019/12/27,lunch,indian food,Kayden\ne15100,2019/12/28,breakfast,\"eggs, sausages, and bread\",\ne15101,2019/12/28,lunch,sandwich,\ne15103,2019/12/29,lunch,tacos,\ne15104,2019/12/29,dinner,pasta,Avery\ne15106,2019/12/30,breakfast,oatmeal,\ne15107,2019/12/30,dinner,sushi,\ne15112,2019/12/31,breakfast,peanut-butter-jam,\"Avery, Jackson, Benjamin\"\ne15246,2020/01/01,lunch,steak,\ne15249,2020/01/02,breakfast,peanut-butter-jam,\ne15253,2020/01/03,lunch,fish and chips,\"Layla, Avery, Lydia, Olivia, Eva, Nora, Rylee, Kinsley, Claire, Piper, Hazel, Piper, Nevaeh\"\ne15256,2020/01/04,breakfast,oatmeal,\ne15257,2020/01/04,lunch,a burger,\ne15261,2020/01/05,lunch,a burger,\"Layla, Avery, Olivia, Nevaeh, Piper, Rylee, Lydia, Piper\"\ne15263,2020/01/06,breakfast,pancakes,\ne15264,2020/01/06,lunch,pasta,\"Avery, Kinsley, Hazel, Olivia, Layla, Nevaeh, Piper, Claire, Eva, Lydia, Piper\"\ne15268,2020/01/07,lunch,sushi,\ne15269,2020/01/07,dinner,pasta,Kayden\ne15271,2020/01/08,lunch,indian food,\ne15276,2020/01/09,lunch,sushi,\ne15281,2020/01/11,dinner,indian food,\"Carter, Andrew, Emily\"\ne15285,2020/01/12,lunch,fish and chips,\"Willow, Avery\"\ne15286,2020/01/12,dinner,sandwich,\"Nora, Kinsley\"\ne15291,2020/01/13,breakfast,peanut-butter-jam,\ne15294,2020/01/15,breakfast,\"eggs, sausages, and bread\",Avery\ne15295,2020/01/15,lunch,fish and chips,\ne15296,2020/01/15,dinner,tacos,\ne15301,2020/01/17,dinner,indian food,\ne15305,2020/01/18,breakfast,\"eggs, sausages, and bread\",\ne15306,2020/01/19,dinner,indian food,\ne15311,2020/01/20,dinner,indian food,\ne15314,2020/01/21,breakfast,oatmeal,\ne15318,2020/01/22,lunch,sandwich,Kayden\ne15319,2020/01/22,dinner,steak,\ne15325,2020/01/23,breakfast,\"eggs, sausages, and bread\",\ne15326,2020/01/23,dinner,tacos,\ne15329,2020/01/24,lunch,fish and chips,\ne15330,2020/01/24,dinner,fish and chips,\ne15332,2020/01/25,breakfast,cereals,\ne15336,2020/01/26,dinner,tacos,\ne15341,2020/01/27,dinner,tacos,\ne15344,2020/01/28,lunch,a burger,\ne15345,2020/01/28,dinner,steak,\ne15347,2020/01/29,dinner,steak,\"Kayden, Carter, Andrew, Emily\"\ne15350,2020/01/30,lunch,sandwich,\ne15355,2020/01/31,lunch,sushi,\ne15359,2020/02/01,breakfast,\"eggs, sausages, and bread\",\ne15361,2020/02/02,breakfast,toast and cheese,Kayden\ne15362,2020/02/02,lunch,pasta,\ne15365,2020/02/03,breakfast,pancakes,\"Olivia, Piper\"\ne15366,2020/02/03,dinner,tacos,\ne15369,2020/02/04,breakfast,oatmeal,\"Emily, Kayden, Andrew\"\ne15372,2020/02/05,breakfast,cereals,\ne15373,2020/02/05,lunch,steak,\ne15374,2020/02/05,dinner,tacos,\ne15378,2020/02/06,lunch,fish and chips,\ne15380,2020/02/07,dinner,sandwich,\"Emily, Kayden, Andrew\"\ne15382,2020/02/08,lunch,steak,Emily\ne15385,2020/02/09,breakfast,cereals,\ne15386,2020/02/09,lunch,steak,\"Emily, Andrew, Carter\"\ne15387,2020/02/09,dinner,a burger,\"Carter, Emily\"\ne15390,2020/02/10,lunch,indian food,\ne15391,2020/02/10,dinner,indian food,\ne15395,2020/02/11,dinner,sandwich,\ne15397,2020/02/12,breakfast,toast and cheese,\ne15398,2020/02/12,lunch,sushi,\ne15399,2020/02/12,dinner,sushi,\ne15402,2020/02/13,dinner,indian food,Kayden\ne15406,2020/02/14,breakfast,peanut-butter-jam,\ne15407,2020/02/14,lunch,tacos,Olivia\ne15413,2020/02/16,dinner,chinese food,Layla\ne15414,2020/02/17,breakfast,toast and cheese,\"Willow, Avery, Jackson, Benjamin\"\ne15415,2020/02/17,dinner,sushi,\ne15417,2020/02/18,breakfast,pancakes,\"Hazel, Piper, Layla, Lydia, Nora, Avery, Piper, Claire, Eva, Kinsley, Nevaeh, Olivia\"\ne15418,2020/02/18,lunch,indian food,\"Emily, Andrew, Carter, Kayden\"\ne15419,2020/02/18,dinner,sandwich,\ne15421,2020/02/19,dinner,pasta,\ne15424,2020/02/20,breakfast,pancakes,\ne15425,2020/02/20,dinner,fish and chips,\ne15431,2020/02/22,breakfast,pancakes,\ne15432,2020/02/22,lunch,tacos,\"Avery, Benjamin, Jackson\"\ne15435,2020/02/23,dinner,sushi,\ne15438,2020/02/24,breakfast,peanut-butter-jam,\ne15439,2020/02/24,lunch,fish and chips,\ne15444,2020/02/25,lunch,indian food,\ne15448,2020/02/26,breakfast,oatmeal,\ne15449,2020/02/26,lunch,pasta,\ne15450,2020/02/26,dinner,pasta,\ne15454,2020/02/27,dinner,sushi,\ne15455,2020/02/28,breakfast,cereals,\ne15456,2020/02/28,lunch,steak,\"Emily, Carter, Andrew\"\ne15460,2020/02/29,lunch,chinese food,\ne15461,2020/02/29,dinner,indian food,Andrew\ne15464,2020/03/01,lunch,tacos,\ne15467,2020/03/02,breakfast,pancakes,Carter\ne15468,2020/03/02,lunch,tacos,\"Emily, Carter, Andrew\"\ne15469,2020/03/02,dinner,chinese food,\"Kayden, Carter, Emily, Andrew\"\ne15473,2020/03/03,breakfast,pancakes,\"Kayden, Andrew\"\ne15474,2020/03/03,lunch,sushi,\ne15477,2020/03/04,breakfast,peanut-butter-jam,\ne15478,2020/03/04,lunch,chinese food,\ne15480,2020/03/05,breakfast,oatmeal,\ne15481,2020/03/05,dinner,sushi,\ne15489,2020/03/07,breakfast,peanut-butter-jam,\"Rylee, Kinsley, Nora, Eva, Piper, Avery, Lydia, Piper, Nevaeh, Claire\"\ne15490,2020/03/07,lunch,steak,\"Kayden, Andrew\"\ne15491,2020/03/07,dinner,tacos,\ne15494,2020/03/08,breakfast,cereals,\ne15495,2020/03/08,lunch,fish and chips,\"Avery, Willow\"\ne15497,2020/03/09,lunch,tacos,\ne15498,2020/03/09,dinner,steak,Kayden\ne15501,2020/03/10,dinner,a burger,\"Lydia, Hazel, Claire, Kinsley, Piper, Rylee\"\ne15504,2020/03/11,breakfast,toast and cheese,\ne15505,2020/03/11,lunch,pasta,\"Avery, Willow\"\ne15508,2020/03/12,lunch,chinese food,\"Avery, Willow, Jackson, Benjamin\"\ne15512,2020/03/14,lunch,pasta,\ne15513,2020/03/14,dinner,indian food,\ne15517,2020/03/15,breakfast,pancakes,\ne15518,2020/03/15,lunch,fish and chips,\"Nora, Eva, Piper, Lydia, Claire, Layla, Olivia, Hazel\"\ne15519,2020/03/15,dinner,a burger,\"Nevaeh, Nora, Layla, Lydia, Piper, Piper, Kinsley, Avery, Hazel, Olivia\"\ne15520,2020/03/16,dinner,chinese food,\"Andrew, Kayden, Carter\"\ne15525,2020/03/17,lunch,fish and chips,\"Avery, Willow, Jackson, Benjamin\"\ne15526,2020/03/17,dinner,sushi,\ne15530,2020/03/18,breakfast,toast and cheese,\ne15531,2020/03/18,dinner,steak,\"Rylee, Olivia, Piper, Layla, Kinsley, Eva, Nevaeh, Claire, Piper, Avery, Hazel, Lydia, Nora\"\ne15536,2020/03/19,breakfast,cereals,\"Andrew, Kayden, Carter, Emily\"\ne15537,2020/03/19,lunch,indian food,\"Nora, Kinsley, Claire, Layla\"\ne15538,2020/03/19,dinner,a burger,\"Rylee, Eva, Nevaeh, Claire, Nora, Piper, Layla, Hazel\"\ne15542,2020/03/20,breakfast,\"eggs, sausages, and bread\",\ne15543,2020/03/20,lunch,indian food,\ne15547,2020/03/21,lunch,tacos,\ne15553,2020/03/22,breakfast,cereals,Willow\ne15554,2020/03/22,lunch,tacos,Andrew\ne15558,2020/03/24,lunch,fish and chips,\ne15563,2020/03/25,breakfast,oatmeal,\"Andrew, Kayden, Emily, Carter\"\ne15564,2020/03/25,lunch,pasta,\"Andrew, Kayden, Carter, Emily\"\ne15568,2020/03/26,lunch,pasta,\"Emily, Kayden, Carter, Andrew\"\ne15569,2020/03/26,dinner,tacos,\ne15572,2020/03/27,breakfast,toast and cheese,\"Kayden, Andrew\"\ne15573,2020/03/27,lunch,pasta,\ne15579,2020/03/29,lunch,pasta,\"Kayden, Andrew, Carter, Emily\"\ne15580,2020/03/29,dinner,pasta,Andrew\ne15584,2020/03/30,lunch,a burger,\"Kayden, Andrew, Carter\"\ne15585,2020/03/30,dinner,pasta,\ne15588,2020/03/31,lunch,sandwich,\ne15589,2020/03/31,dinner,a burger,\"Eva, Claire, Olivia, Lydia, Piper, Layla, Rylee\"\ne15590,2020/04/01,breakfast,cereals,\ne15591,2020/04/01,lunch,chinese food,\ne15592,2020/04/01,dinner,indian food,\ne15594,2020/04/02,lunch,chinese food,\ne15597,2020/04/03,breakfast,peanut-butter-jam,\ne15598,2020/04/03,lunch,fish and chips,\ne15599,2020/04/03,dinner,sushi,\"Kinsley, Layla, Rylee, Avery, Lydia, Nora, Hazel, Claire, Piper\"\ne15603,2020/04/04,breakfast,cereals,\"Carter, Kayden\"\ne15604,2020/04/04,lunch,tacos,\ne15605,2020/04/04,dinner,steak,\ne15609,2020/04/05,breakfast,cereals,\ne15612,2020/04/06,lunch,a burger,\ne15613,2020/04/06,dinner,indian food,\"Andrew, Carter\"\ne15616,2020/04/07,breakfast,pancakes,\ne15617,2020/04/07,dinner,a burger,\ne15620,2020/04/09,lunch,steak,\"Kayden, Carter\"\ne15623,2020/04/11,dinner,chinese food,\ne15629,2020/04/12,breakfast,oatmeal,\"Andrew, Emily\"\ne15630,2020/04/12,lunch,tacos,\ne15631,2020/04/12,dinner,fish and chips,\ne15636,2020/04/14,breakfast,\"eggs, sausages, and bread\",\ne15637,2020/04/14,dinner,steak,\"Kinsley, Lydia, Hazel, Nora, Piper, Claire, Piper, Olivia, Layla\"\ne15640,2020/04/15,dinner,a burger,\ne15646,2020/04/17,breakfast,peanut-butter-jam,\"Emily, Andrew, Kayden\"\ne15647,2020/04/17,lunch,fish and chips,\"Kayden, Emily, Carter, Andrew\"\ne15649,2020/04/18,breakfast,cereals,\"Kayden, Andrew, Emily, Carter\"\ne15650,2020/04/18,lunch,chinese food,\ne15651,2020/04/18,dinner,tacos,\"Emily, Andrew, Carter\"\ne15655,2020/04/19,breakfast,\"eggs, sausages, and bread\",\ne15657,2020/04/20,dinner,sandwich,Avery\ne15658,2020/04/21,lunch,steak,\ne15661,2020/04/22,lunch,a burger,\ne15662,2020/04/22,dinner,sushi,\ne15663,2020/04/23,breakfast,peanut-butter-jam,Carter\ne15664,2020/04/23,lunch,indian food,\ne15668,2020/04/24,breakfast,oatmeal,\ne15669,2020/04/24,lunch,steak,\"Andrew, Emily, Kayden, Carter\"\ne15673,2020/04/25,breakfast,pancakes,Carter\ne15674,2020/04/25,dinner,chinese food,\ne15679,2020/04/26,dinner,pasta,\ne15685,2020/04/28,breakfast,oatmeal,\ne15688,2020/04/29,breakfast,cereals,\ne15689,2020/04/29,lunch,steak,\ne15692,2020/04/30,dinner,pasta,\"Andrew, Kayden, Carter, Emily\"\ne15695,2020/05/01,breakfast,\"eggs, sausages, and bread\",\ne15696,2020/05/01,dinner,sandwich,\ne15699,2020/05/02,breakfast,cereals,\ne15700,2020/05/02,dinner,indian food,\ne15701,2020/05/03,breakfast,peanut-butter-jam,\ne15706,2020/05/04,lunch,sushi,\ne15708,2020/05/05,breakfast,toast and cheese,\"Willow, Jackson\"\ne15709,2020/05/05,lunch,chinese food,\"Emily, Carter, Andrew\"\ne15710,2020/05/05,dinner,pasta,\ne15713,2020/05/06,breakfast,oatmeal,\ne15714,2020/05/06,dinner,fish and chips,\ne15716,2020/05/07,dinner,fish and chips,\ne15720,2020/05/08,breakfast,cereals,\ne15721,2020/05/08,lunch,sandwich,\ne15722,2020/05/08,dinner,a burger,\ne15725,2020/05/09,breakfast,oatmeal,\ne15726,2020/05/09,dinner,sandwich,\"Piper, Lydia\"\ne15728,2020/05/10,breakfast,cereals,Eva\ne15729,2020/05/10,lunch,a burger,\ne15730,2020/05/10,dinner,chinese food,\ne15732,2020/05/11,breakfast,peanut-butter-jam,\"Rylee, Layla, Lydia, Nora, Hazel, Piper, Claire, Kinsley, Avery, Piper, Nevaeh\"\ne15733,2020/05/11,lunch,fish and chips,\"Emily, Andrew, Kayden\"\ne15737,2020/05/12,dinner,a burger,\ne15741,2020/05/14,breakfast,cereals,\"Eva, Nora, Hazel, Lydia, Piper\"\ne15742,2020/05/14,dinner,indian food,\ne15745,2020/05/15,breakfast,peanut-butter-jam,Andrew\ne15746,2020/05/15,lunch,steak,\ne15748,2020/05/16,dinner,sushi,\ne15752,2020/05/17,breakfast,peanut-butter-jam,Emily\ne15753,2020/05/17,lunch,fish and chips,\"Avery, Piper, Layla, Olivia, Claire, Nevaeh, Hazel, Nora, Piper, Eva, Lydia, Kinsley\"\ne15754,2020/05/17,dinner,sandwich,Willow\ne15757,2020/05/18,breakfast,pancakes,\"Kayden, Andrew, Carter, Emily\"\ne15758,2020/05/18,lunch,sandwich,\ne15763,2020/05/20,breakfast,peanut-butter-jam,\"Emily, Kayden\"\ne15767,2020/05/21,breakfast,toast and cheese,\ne15768,2020/05/21,lunch,sandwich,\ne15770,2020/05/22,breakfast,oatmeal,\ne15771,2020/05/22,dinner,sandwich,\"Carter, Andrew, Kayden, Emily\"\ne15773,2020/05/23,lunch,steak,\"Andrew, Kayden\"\ne15774,2020/05/23,dinner,sushi,Jackson\ne15781,2020/05/25,lunch,indian food,\ne15784,2020/05/26,breakfast,peanut-butter-jam,Emily\ne15785,2020/05/26,lunch,a burger,\ne15787,2020/05/27,lunch,fish and chips,\"Avery, Willow, Jackson\"\ne15792,2020/05/29,lunch,steak,\"Kayden, Andrew, Emily, Carter\"\ne15795,2020/05/30,breakfast,cereals,\ne15796,2020/05/30,lunch,pasta,\ne15800,2020/05/31,breakfast,toast and cheese,\ne15801,2020/05/31,dinner,sushi,\"Andrew, Emily, Carter\"\ne15804,2020/06/01,dinner,indian food,\"Avery, Nora, Kinsley, Layla, Nevaeh, Olivia, Piper\"\ne15807,2020/06/02,breakfast,toast and cheese,\"Andrew, Carter\"\ne15808,2020/06/02,dinner,sandwich,\ne15811,2020/06/03,breakfast,\"eggs, sausages, and bread\",\ne15812,2020/06/04,lunch,a burger,\"Willow, Jackson\"\ne15813,2020/06/04,dinner,a burger,\ne15817,2020/06/05,lunch,steak,\"Emily, Andrew, Carter, Kayden\"\ne15821,2020/06/06,dinner,steak,Emily\ne15824,2020/06/07,dinner,sushi,\ne15827,2020/06/08,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Avery\"\ne15831,2020/06/09,breakfast,peanut-butter-jam,\ne15832,2020/06/09,lunch,steak,\ne15834,2020/06/10,breakfast,toast and cheese,\ne15835,2020/06/10,dinner,chinese food,Hazel\ne15838,2020/06/11,breakfast,pancakes,\ne15839,2020/06/11,dinner,sandwich,\ne15841,2020/06/12,breakfast,toast and cheese,\ne15842,2020/06/12,dinner,chinese food,\ne15845,2020/06/13,breakfast,cereals,Emily\ne15846,2020/06/13,dinner,sushi,\ne15848,2020/06/14,dinner,steak,\ne15852,2020/06/15,breakfast,\"eggs, sausages, and bread\",\ne15853,2020/06/15,lunch,steak,\"Andrew, Emily\"\ne15854,2020/06/15,dinner,sushi,\"Emily, Kayden, Andrew\"\ne15855,2020/06/16,lunch,steak,\ne15859,2020/06/17,lunch,sushi,\"Nora, Piper, Piper, Layla, Rylee, Eva, Claire, Olivia\"\ne15860,2020/06/17,dinner,fish and chips,\ne15861,2020/06/18,lunch,sushi,Willow\ne15865,2020/06/19,breakfast,cereals,Avery\ne15866,2020/06/19,lunch,pasta,\ne15871,2020/06/20,breakfast,toast and cheese,Emily\ne15872,2020/06/20,lunch,fish and chips,\ne15873,2020/06/20,dinner,chinese food,\"Benjamin, Willow\"\ne15876,2020/06/21,lunch,steak,\"Andrew, Kayden\"\ne15879,2020/06/22,dinner,pasta,\"Lydia, Piper, Nora, Kinsley, Hazel, Nevaeh, Rylee\"\ne15881,2020/06/23,lunch,a burger,\ne15882,2020/06/23,dinner,a burger,\ne15884,2020/06/24,breakfast,cereals,\"Avery, Willow\"\ne15885,2020/06/24,dinner,a burger,\ne15888,2020/06/25,lunch,a burger,Jackson\ne15889,2020/06/25,dinner,tacos,\ne15892,2020/06/26,breakfast,oatmeal,\ne15893,2020/06/26,lunch,steak,\ne15894,2020/06/26,dinner,sushi,\ne15899,2020/06/27,dinner,sushi,\"Claire, Kinsley, Eva, Nevaeh, Lydia, Rylee\"\ne15901,2020/06/28,breakfast,oatmeal,\"Rylee, Olivia, Hazel, Lydia, Eva, Piper, Claire, Nora\"\ne15903,2020/06/29,breakfast,oatmeal,\ne15904,2020/06/29,lunch,sandwich,\"Kinsley, Layla, Nora, Hazel\"\ne15905,2020/06/29,dinner,a burger,Emily\ne15908,2020/06/30,breakfast,toast and cheese,\ne15910,2020/07/01,lunch,sandwich,\ne15915,2020/07/02,breakfast,pancakes,\"Kayden, Emily, Andrew, Carter\"\ne15916,2020/07/02,lunch,sandwich,\"Carter, Kayden, Andrew\"\ne15920,2020/07/03,lunch,indian food,\ne15922,2020/07/04,dinner,fish and chips,\ne15924,2020/07/05,breakfast,toast and cheese,\ne15925,2020/07/05,dinner,tacos,\ne15929,2020/07/06,breakfast,pancakes,\ne15930,2020/07/06,lunch,a burger,\ne15931,2020/07/06,dinner,chinese food,\ne15934,2020/07/07,breakfast,cereals,\"Nora, Lydia, Olivia, Kinsley, Layla, Claire, Eva, Avery, Piper, Piper, Nevaeh\"\ne15935,2020/07/07,lunch,tacos,\ne15936,2020/07/07,dinner,a burger,\ne15942,2020/07/09,breakfast,oatmeal,\ne15943,2020/07/09,lunch,a burger,Andrew\ne15947,2020/07/11,dinner,a burger,\ne15949,2020/07/12,breakfast,oatmeal,\ne15950,2020/07/12,lunch,pasta,\"Lydia, Layla, Claire, Olivia, Piper, Nevaeh\"\ne15951,2020/07/12,dinner,pasta,\ne15955,2020/07/13,lunch,sushi,\ne15956,2020/07/13,dinner,steak,\ne15965,2020/07/15,lunch,tacos,\ne15966,2020/07/15,dinner,steak,\ne15970,2020/07/16,breakfast,peanut-butter-jam,\"Kayden, Andrew, Emily, Carter\"\ne15971,2020/07/16,lunch,fish and chips,\ne15972,2020/07/16,dinner,indian food,Emily\ne15977,2020/07/18,breakfast,peanut-butter-jam,Avery\ne15978,2020/07/18,lunch,indian food,\ne15979,2020/07/18,dinner,chinese food,\ne15983,2020/07/19,breakfast,toast and cheese,\"Lydia, Nora, Claire, Avery, Kinsley, Piper, Nevaeh, Hazel, Eva, Piper\"\ne15987,2020/07/20,breakfast,oatmeal,\ne15988,2020/07/20,dinner,pasta,\"Andrew, Emily, Carter\"\ne15991,2020/07/21,dinner,pasta,\ne15994,2020/07/22,lunch,chinese food,\ne15997,2020/07/24,breakfast,cereals,Carter\ne15998,2020/07/24,dinner,tacos,\ne16002,2020/07/25,breakfast,pancakes,\ne16003,2020/07/25,lunch,steak,\"Kinsley, Avery, Layla, Rylee, Piper, Nevaeh\"\ne16006,2020/07/26,breakfast,\"eggs, sausages, and bread\",\"Eva, Nora, Hazel, Layla, Piper, Piper, Claire, Nevaeh, Lydia, Rylee, Olivia, Kinsley\"\ne16007,2020/07/26,lunch,sandwich,\ne16008,2020/07/26,dinner,indian food,\ne16011,2020/07/27,breakfast,\"eggs, sausages, and bread\",\ne16012,2020/07/27,dinner,a burger,\ne16016,2020/07/28,lunch,tacos,Andrew\ne16017,2020/07/28,dinner,indian food,\ne16023,2020/07/29,dinner,sushi,\"Carter, Kayden, Andrew, Emily\"\ne16027,2020/07/30,lunch,a burger,\ne16028,2020/07/30,dinner,tacos,\ne16030,2020/07/31,lunch,fish and chips,\ne16031,2020/07/31,dinner,sandwich,\"Hazel, Rylee\"\ne16034,2020/08/01,breakfast,peanut-butter-jam,\"Carter, Kayden, Emily\"\ne16035,2020/08/01,dinner,a burger,\ne16037,2020/08/02,dinner,sushi,Emily\ne16043,2020/08/04,breakfast,peanut-butter-jam,\ne16047,2020/08/05,breakfast,oatmeal,\"Jackson, Willow, Benjamin\"\ne16048,2020/08/05,lunch,fish and chips,\ne16056,2020/08/07,lunch,a burger,\"Avery, Jackson, Willow\"\ne16057,2020/08/07,dinner,tacos,\ne16061,2020/08/08,dinner,sandwich,\ne16064,2020/08/09,breakfast,oatmeal,\ne16065,2020/08/09,dinner,chinese food,\ne16068,2020/08/10,dinner,indian food,\ne16070,2020/08/11,lunch,sandwich,\ne16071,2020/08/11,dinner,steak,\"Andrew, Emily, Carter\"\ne16074,2020/08/12,breakfast,toast and cheese,\"Emily, Carter\"\ne16075,2020/08/12,lunch,pasta,\ne16079,2020/08/13,breakfast,toast and cheese,\"Nevaeh, Rylee, Piper, Olivia, Layla, Avery, Nora, Kinsley, Eva, Claire, Lydia, Piper\"\ne16082,2020/08/14,lunch,fish and chips,\ne16083,2020/08/14,dinner,a burger,\ne16085,2020/08/15,breakfast,\"eggs, sausages, and bread\",\ne16086,2020/08/15,lunch,sushi,Emily\ne16087,2020/08/15,dinner,fish and chips,\"Carter, Kayden, Andrew\"\ne16092,2020/08/16,breakfast,pancakes,Claire\ne16095,2020/08/17,lunch,sandwich,\"Lydia, Eva, Piper, Hazel, Olivia\"\ne16099,2020/08/18,dinner,chinese food,\ne16101,2020/08/19,dinner,a burger,\ne16104,2020/08/20,lunch,steak,\"Olivia, Lydia, Rylee, Nora\"\ne16105,2020/08/20,dinner,tacos,\"Willow, Benjamin\"\ne16108,2020/08/21,lunch,fish and chips,\ne16114,2020/08/23,breakfast,oatmeal,\"Carter, Andrew, Kayden, Emily\"\ne16126,2020/08/26,breakfast,pancakes,\"Andrew, Carter, Kayden\"\ne16128,2020/08/27,breakfast,oatmeal,Andrew\ne16130,2020/08/28,breakfast,toast and cheese,\ne16131,2020/08/28,lunch,pasta,\ne16133,2020/08/29,breakfast,\"eggs, sausages, and bread\",\ne16134,2020/08/29,lunch,chinese food,Jackson\ne16137,2020/08/30,breakfast,peanut-butter-jam,\ne16138,2020/08/30,dinner,sandwich,\ne16142,2020/08/31,breakfast,\"eggs, sausages, and bread\",\ne16143,2020/08/31,lunch,tacos,\"Carter, Emily\"\ne16147,2020/09/01,breakfast,toast and cheese,\"Kayden, Andrew\"\ne16148,2020/09/01,dinner,a burger,\ne16151,2020/09/02,dinner,chinese food,\"Andrew, Kayden\"\ne16155,2020/09/03,breakfast,peanut-butter-jam,\ne16156,2020/09/03,lunch,fish and chips,\ne16157,2020/09/03,dinner,sandwich,\"Avery, Jackson, Willow\"\ne16161,2020/09/04,breakfast,oatmeal,\"Jackson, Avery, Willow\"\ne16162,2020/09/04,lunch,pasta,\ne16166,2020/09/05,breakfast,pancakes,\"Piper, Olivia, Lydia, Hazel, Eva, Nora, Claire, Layla, Avery, Rylee, Kinsley, Piper, Nevaeh\"\ne16167,2020/09/05,lunch,sushi,\ne16172,2020/09/07,breakfast,toast and cheese,\"Andrew, Carter, Kayden, Emily\"\ne16176,2020/09/08,dinner,tacos,\ne16180,2020/09/09,breakfast,\"eggs, sausages, and bread\",\ne16181,2020/09/09,lunch,fish and chips,\ne16182,2020/09/09,dinner,a burger,\"Layla, Rylee, Kinsley, Olivia, Claire, Piper\"\ne16184,2020/09/10,breakfast,oatmeal,\ne16185,2020/09/10,lunch,pasta,\ne16186,2020/09/10,dinner,sushi,\ne16190,2020/09/11,breakfast,cereals,\"Hazel, Eva, Layla\"\ne16191,2020/09/11,lunch,pasta,\ne16195,2020/09/12,dinner,sandwich,\ne16198,2020/09/13,lunch,chinese food,\ne16201,2020/09/14,dinner,chinese food,Kayden\ne16203,2020/09/15,lunch,sandwich,\ne16204,2020/09/15,dinner,pasta,\"Carter, Andrew, Kayden, Emily\"\ne16207,2020/09/16,breakfast,pancakes,\ne16210,2020/09/17,lunch,fish and chips,\ne16211,2020/09/17,dinner,pasta,\ne16214,2020/09/18,breakfast,pancakes,\ne16215,2020/09/18,dinner,indian food,\ne16220,2020/09/20,lunch,indian food,\ne16221,2020/09/20,dinner,sandwich,\ne16223,2020/09/21,lunch,indian food,\ne16227,2020/09/22,breakfast,\"eggs, sausages, and bread\",\ne16228,2020/09/22,lunch,pasta,\ne16231,2020/09/23,breakfast,pancakes,\ne16232,2020/09/23,lunch,a burger,\ne16236,2020/09/24,breakfast,cereals,\ne16237,2020/09/24,lunch,indian food,\ne16240,2020/09/25,lunch,fish and chips,\"Avery, Claire, Layla, Rylee, Piper, Nora\"\ne16241,2020/09/25,dinner,steak,\ne16244,2020/09/26,dinner,indian food,\ne16246,2020/09/27,breakfast,\"eggs, sausages, and bread\",\ne16247,2020/09/27,lunch,sushi,\ne16250,2020/09/28,dinner,a burger,\ne16253,2020/09/29,lunch,pasta,\ne16256,2020/09/30,dinner,fish and chips,\"Andrew, Emily, Kayden\"\ne16259,2020/10/01,breakfast,cereals,\ne16260,2020/10/01,dinner,steak,\ne16263,2020/10/02,dinner,tacos,\"Avery, Jackson, Benjamin\"\ne16269,2020/10/04,breakfast,cereals,\"Avery, Jackson\"\ne16270,2020/10/04,lunch,a burger,\ne16274,2020/10/05,lunch,a burger,Carter\ne16275,2020/10/05,dinner,a burger,\"Emily, Andrew, Kayden\"\ne16278,2020/10/06,breakfast,\"eggs, sausages, and bread\",\ne16279,2020/10/06,dinner,fish and chips,\"Olivia, Hazel, Piper, Claire, Piper, Layla, Nevaeh, Kinsley\"\ne16280,2020/10/07,breakfast,toast and cheese,\"Andrew, Kayden, Emily\"\ne16281,2020/10/07,lunch,indian food,\ne16282,2020/10/07,dinner,steak,\"Eva, Nevaeh\"\ne16283,2020/10/08,dinner,pasta,\ne16285,2020/10/09,lunch,sushi,\ne16290,2020/10/10,lunch,a burger,\ne16293,2020/10/11,breakfast,toast and cheese,\ne16295,2020/10/12,breakfast,\"eggs, sausages, and bread\",\ne16296,2020/10/12,dinner,sandwich,\ne16299,2020/10/13,lunch,indian food,\ne16308,2020/10/15,breakfast,peanut-butter-jam,\"Avery, Benjamin\"\ne16309,2020/10/16,breakfast,peanut-butter-jam,\ne16312,2020/10/17,lunch,pasta,\ne16314,2020/10/18,dinner,chinese food,\ne16317,2020/10/19,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew\"\ne16324,2020/10/21,breakfast,cereals,Eva\ne16325,2020/10/21,lunch,indian food,\"Willow, Benjamin, Avery\"\ne16326,2020/10/21,dinner,sushi,\ne16329,2020/10/22,dinner,steak,\ne16333,2020/10/23,dinner,chinese food,\ne16341,2020/10/25,breakfast,peanut-butter-jam,\ne16342,2020/10/25,lunch,chinese food,\ne16345,2020/10/26,lunch,tacos,\"Emily, Kayden, Carter, Andrew\"\ne16346,2020/10/26,dinner,indian food,\ne16347,2020/10/27,lunch,fish and chips,\ne16350,2020/10/28,breakfast,\"eggs, sausages, and bread\",\ne16357,2020/10/30,breakfast,toast and cheese,\ne16358,2020/10/30,dinner,tacos,\ne16364,2020/10/31,lunch,sandwich,\ne16367,2020/11/01,breakfast,toast and cheese,\"Avery, Jackson, Benjamin, Willow\"\ne16368,2020/11/01,lunch,tacos,\ne16371,2020/11/02,breakfast,oatmeal,\ne16372,2020/11/02,lunch,a burger,\ne16377,2020/11/03,lunch,sushi,\"Claire, Kinsley, Avery, Nora, Olivia, Rylee, Piper, Hazel\"\ne16380,2020/11/04,dinner,sushi,\"Andrew, Carter\"\ne16382,2020/11/05,breakfast,peanut-butter-jam,\ne16383,2020/11/05,lunch,tacos,\"Benjamin, Jackson, Avery\"\ne16384,2020/11/05,dinner,fish and chips,\"Andrew, Kayden, Emily\"\ne16390,2020/11/07,lunch,sandwich,\"Emily, Andrew, Kayden\"\ne16393,2020/11/08,breakfast,pancakes,\ne16394,2020/11/08,dinner,sushi,\ne16397,2020/11/09,breakfast,\"eggs, sausages, and bread\",\ne16398,2020/11/09,lunch,a burger,\ne16402,2020/11/10,breakfast,pancakes,\ne16403,2020/11/10,lunch,steak,\"Carter, Kayden, Andrew, Emily\"\ne16404,2020/11/10,dinner,chinese food,\"Layla, Nevaeh, Piper, Olivia, Hazel, Rylee, Claire\"\ne16407,2020/11/11,breakfast,oatmeal,\"Kinsley, Hazel, Layla, Lydia, Olivia, Nora, Eva, Rylee, Piper\"\ne16408,2020/11/11,lunch,chinese food,\ne16409,2020/11/11,dinner,sandwich,\"Kayden, Andrew\"\ne16411,2020/11/12,lunch,chinese food,\"Kinsley, Eva, Avery, Piper, Piper, Layla, Nora, Rylee, Nevaeh, Lydia, Olivia, Claire\"\ne16414,2020/11/13,lunch,sushi,\"Emily, Andrew\"\ne16418,2020/11/14,breakfast,oatmeal,\ne16419,2020/11/14,dinner,sandwich,\ne16422,2020/11/15,breakfast,peanut-butter-jam,\"Andrew, Kayden, Carter, Emily\"\ne16423,2020/11/15,lunch,sandwich,\ne16425,2020/11/17,dinner,chinese food,\"Jackson, Willow, Benjamin\"\ne16427,2020/11/18,breakfast,peanut-butter-jam,\ne16431,2020/11/19,dinner,tacos,\ne16433,2020/11/20,lunch,a burger,\"Emily, Kayden, Andrew\"\ne16438,2020/11/21,lunch,chinese food,\ne16439,2020/11/21,dinner,steak,\ne16442,2020/11/22,lunch,sandwich,\ne16447,2020/11/23,breakfast,peanut-butter-jam,\ne16448,2020/11/23,dinner,steak,\ne16451,2020/11/24,breakfast,cereals,\"Carter, Emily, Andrew\"\ne16452,2020/11/24,dinner,sushi,\"Nevaeh, Nora, Rylee, Hazel, Claire, Kinsley, Avery, Olivia, Piper, Layla, Lydia, Piper\"\ne16456,2020/11/25,breakfast,toast and cheese,\ne16457,2020/11/25,dinner,a burger,\ne16461,2020/11/26,breakfast,cereals,\ne16462,2020/11/26,dinner,fish and chips,\"Olivia, Nora, Rylee, Kinsley, Piper, Piper, Hazel, Layla, Eva, Avery\"\ne16466,2020/11/27,lunch,a burger,\ne16467,2020/11/27,dinner,chinese food,\"Kayden, Carter\"\ne16470,2020/11/28,dinner,sandwich,\ne16476,2020/11/30,breakfast,\"eggs, sausages, and bread\",\"Jackson, Willow, Benjamin\"\ne16477,2020/11/30,dinner,sandwich,\"Nevaeh, Hazel, Nora, Layla, Kinsley, Avery, Piper, Eva, Lydia\"\ne16481,2020/12/01,breakfast,pancakes,\ne16482,2020/12/01,dinner,sandwich,\ne16485,2020/12/02,breakfast,peanut-butter-jam,\"Piper, Layla, Nora, Nevaeh, Olivia, Piper, Kinsley, Avery, Claire, Eva, Hazel, Rylee, Lydia\"\ne16486,2020/12/02,lunch,a burger,\ne16487,2020/12/02,dinner,steak,\ne16490,2020/12/03,lunch,a burger,\ne16494,2020/12/04,breakfast,cereals,\ne16498,2020/12/05,breakfast,oatmeal,\"Jackson, Benjamin, Avery\"\ne16499,2020/12/05,dinner,sushi,\"Emily, Andrew, Carter, Kayden\"\ne16502,2020/12/06,breakfast,pancakes,\ne16503,2020/12/06,lunch,steak,Benjamin\ne16507,2020/12/07,breakfast,toast and cheese,\"Emily, Andrew\"\ne16508,2020/12/07,dinner,chinese food,\"Andrew, Carter\"\ne16511,2020/12/08,dinner,steak,\"Andrew, Kayden\"\ne16515,2020/12/09,lunch,indian food,\ne16518,2020/12/10,breakfast,peanut-butter-jam,\"Layla, Eva, Piper, Kinsley\"\ne16524,2020/12/13,breakfast,pancakes,\ne16525,2020/12/13,lunch,indian food,\"Kinsley, Claire, Piper, Olivia, Avery, Nora\"\ne16526,2020/12/13,dinner,sandwich,\ne16528,2020/12/14,breakfast,peanut-butter-jam,\"Andrew, Emily\"\ne16532,2020/12/15,breakfast,oatmeal,\ne16536,2020/12/16,breakfast,oatmeal,\ne16540,2020/12/17,lunch,pasta,\ne16543,2020/12/18,breakfast,\"eggs, sausages, and bread\",\ne16544,2020/12/18,lunch,a burger,\ne16549,2020/12/19,breakfast,toast and cheese,\ne16554,2020/12/20,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily\"\ne16557,2020/12/21,breakfast,cereals,\ne16558,2020/12/21,dinner,indian food,\ne16561,2020/12/22,dinner,chinese food,Claire\ne16565,2020/12/23,breakfast,cereals,\ne16566,2020/12/23,dinner,fish and chips,\ne16568,2020/12/24,lunch,sushi,\ne16569,2020/12/24,dinner,pasta,Piper\ne16573,2020/12/25,breakfast,\"eggs, sausages, and bread\",\ne16574,2020/12/25,dinner,pasta,\ne16577,2020/12/26,lunch,indian food,\ne16578,2020/12/26,dinner,steak,\ne16585,2020/12/28,lunch,chinese food,\ne16588,2020/12/29,breakfast,peanut-butter-jam,\ne16590,2020/12/30,breakfast,toast and cheese,\"Hazel, Piper, Eva, Lydia, Nora, Rylee, Olivia, Layla, Kinsley, Nevaeh, Claire, Avery, Piper\"\ne16594,2020/12/31,breakfast,toast and cheese,\ne16595,2020/12/31,dinner,sushi,\"Emily, Kayden, Andrew\"\ne16726,2021/01/01,breakfast,\"eggs, sausages, and bread\",Emily\ne16727,2021/01/01,lunch,steak,\ne16728,2021/01/01,dinner,sandwich,Kayden\ne16733,2021/01/02,breakfast,cereals,\"Benjamin, Jackson\"\ne16734,2021/01/02,dinner,steak,\"Avery, Benjamin, Willow\"\ne16739,2021/01/03,lunch,sandwich,\ne16742,2021/01/04,breakfast,peanut-butter-jam,\ne16743,2021/01/04,dinner,pasta,\ne16747,2021/01/05,lunch,sandwich,\ne16748,2021/01/05,dinner,chinese food,\"Avery, Nora, Eva, Rylee, Claire, Olivia, Hazel, Piper\"\ne16752,2021/01/06,lunch,steak,\"Hazel, Piper, Piper, Kinsley, Avery, Rylee, Claire, Nevaeh, Eva\"\ne16753,2021/01/06,dinner,a burger,Kayden\ne16755,2021/01/07,lunch,fish and chips,\"Kinsley, Hazel, Nora, Piper, Rylee, Claire, Piper, Nevaeh, Avery, Layla, Eva, Olivia, Lydia\"\ne16756,2021/01/07,dinner,chinese food,\ne16760,2021/01/08,breakfast,cereals,\ne16761,2021/01/08,dinner,indian food,\ne16763,2021/01/09,lunch,steak,\ne16764,2021/01/09,dinner,chinese food,\ne16768,2021/01/10,breakfast,peanut-butter-jam,\"Andrew, Kayden, Emily\"\ne16770,2021/01/11,lunch,pasta,\"Rylee, Claire, Nora, Eva, Piper, Hazel\"\ne16771,2021/01/11,dinner,sandwich,\ne16775,2021/01/12,dinner,tacos,\ne16777,2021/01/13,breakfast,toast and cheese,\ne16778,2021/01/13,dinner,pasta,\ne16782,2021/01/14,breakfast,oatmeal,\ne16783,2021/01/14,lunch,fish and chips,\ne16786,2021/01/15,breakfast,peanut-butter-jam,\ne16790,2021/01/16,breakfast,cereals,\ne16794,2021/01/17,lunch,tacos,\ne16795,2021/01/17,dinner,indian food,\"Jackson, Willow\"\ne16797,2021/01/18,lunch,fish and chips,\ne16799,2021/01/19,breakfast,pancakes,\ne16803,2021/01/20,dinner,tacos,\"Kayden, Andrew\"\ne16805,2021/01/21,dinner,fish and chips,\ne16809,2021/01/23,lunch,indian food,\"Emily, Kayden, Andrew, Carter\"\ne16812,2021/01/25,breakfast,cereals,\"Benjamin, Willow\"\ne16813,2021/01/25,dinner,indian food,\"Avery, Jackson, Willow\"\ne16817,2021/01/26,breakfast,oatmeal,\"Jackson, Benjamin, Willow\"\ne16818,2021/01/26,dinner,indian food,\ne16819,2021/01/27,lunch,pasta,\"Layla, Olivia, Rylee, Eva, Lydia, Avery, Piper\"\ne16823,2021/01/28,breakfast,oatmeal,\ne16824,2021/01/28,lunch,sushi,\ne16825,2021/01/28,dinner,tacos,\ne16827,2021/01/29,dinner,sushi,\"Willow, Benjamin\"\ne16830,2021/01/30,dinner,sandwich,\ne16835,2021/01/31,lunch,fish and chips,\"Emily, Carter\"\ne16836,2021/01/31,dinner,pasta,\ne16839,2021/02/01,lunch,a burger,\ne16840,2021/02/01,dinner,a burger,\"Piper, Kinsley, Nevaeh, Eva, Claire, Avery, Layla, Olivia, Nora, Lydia, Piper, Rylee\"\ne16844,2021/02/02,breakfast,\"eggs, sausages, and bread\",\ne16845,2021/02/02,lunch,steak,\ne16846,2021/02/02,dinner,sandwich,\ne16849,2021/02/03,dinner,tacos,\ne16851,2021/02/04,breakfast,pancakes,\ne16852,2021/02/04,lunch,fish and chips,\ne16854,2021/02/05,dinner,steak,\"Piper, Nevaeh, Layla, Eva, Lydia, Rylee, Olivia, Avery, Piper, Kinsley, Nora, Claire, Hazel\"\ne16859,2021/02/08,breakfast,pancakes,\ne16860,2021/02/08,lunch,tacos,\ne16861,2021/02/08,dinner,sandwich,\"Benjamin, Jackson\"\ne16864,2021/02/09,dinner,indian food,\"Andrew, Kayden, Carter, Emily\"\ne16868,2021/02/10,breakfast,cereals,\ne16872,2021/02/11,breakfast,pancakes,\"Carter, Andrew\"\ne16873,2021/02/11,dinner,indian food,\ne16877,2021/02/13,lunch,pasta,\ne16878,2021/02/13,dinner,sandwich,Kayden\ne16881,2021/02/14,breakfast,cereals,\ne16882,2021/02/14,lunch,chinese food,\ne16884,2021/02/15,dinner,pasta,\ne16888,2021/02/16,breakfast,peanut-butter-jam,Carter\ne16890,2021/02/17,breakfast,oatmeal,\ne16892,2021/02/18,breakfast,peanut-butter-jam,\ne16893,2021/02/18,lunch,indian food,\ne16894,2021/02/18,dinner,fish and chips,\ne16899,2021/02/20,lunch,steak,\"Benjamin, Jackson\"\ne16902,2021/02/22,lunch,fish and chips,\ne16904,2021/02/23,breakfast,peanut-butter-jam,Carter\ne16906,2021/02/24,lunch,a burger,\"Avery, Benjamin\"\ne16907,2021/02/25,breakfast,oatmeal,\ne16910,2021/02/26,breakfast,cereals,\ne16911,2021/02/26,lunch,sandwich,Carter\ne16912,2021/02/26,dinner,chinese food,\ne16914,2021/02/27,lunch,fish and chips,\"Carter, Emily, Kayden, Andrew\"\ne16917,2021/02/28,breakfast,pancakes,Andrew\ne16920,2021/03/01,lunch,fish and chips,\ne16924,2021/03/02,breakfast,toast and cheese,\ne16925,2021/03/02,lunch,chinese food,Claire\ne16928,2021/03/03,breakfast,peanut-butter-jam,\ne16929,2021/03/03,dinner,steak,\ne16933,2021/03/04,breakfast,peanut-butter-jam,\ne16934,2021/03/04,lunch,sandwich,\ne16935,2021/03/04,dinner,chinese food,\ne16939,2021/03/05,breakfast,toast and cheese,\"Hazel, Nora, Claire, Nevaeh, Rylee, Olivia, Kinsley, Avery\"\ne16944,2021/03/06,breakfast,toast and cheese,\ne16945,2021/03/06,lunch,chinese food,\"Carter, Kayden, Emily, Andrew\"\ne16946,2021/03/06,dinner,chinese food,\ne16957,2021/03/09,lunch,sushi,\"Avery, Jackson, Willow\"\ne16961,2021/03/10,lunch,tacos,\ne16967,2021/03/12,lunch,indian food,\ne16968,2021/03/12,dinner,fish and chips,\ne16972,2021/03/14,breakfast,toast and cheese,\ne16973,2021/03/14,lunch,fish and chips,\ne16974,2021/03/14,dinner,indian food,\ne16977,2021/03/15,lunch,sandwich,\ne16980,2021/03/16,breakfast,\"eggs, sausages, and bread\",\ne16981,2021/03/16,lunch,fish and chips,\ne16983,2021/03/17,breakfast,\"eggs, sausages, and bread\",\"Claire, Kinsley, Nora, Olivia\"\ne16984,2021/03/17,dinner,pasta,\"Emily, Andrew, Kayden\"\ne16985,2021/03/18,breakfast,oatmeal,\ne16986,2021/03/18,dinner,fish and chips,\ne16989,2021/03/19,lunch,sushi,\ne16990,2021/03/19,dinner,a burger,\"Kinsley, Olivia, Nora, Claire, Eva, Avery, Nevaeh, Lydia, Piper, Layla, Rylee\"\ne16994,2021/03/20,breakfast,peanut-butter-jam,Kayden\ne16995,2021/03/20,lunch,tacos,Willow\ne16996,2021/03/20,dinner,a burger,\"Carter, Emily, Andrew\"\ne17001,2021/03/22,breakfast,\"eggs, sausages, and bread\",\ne17005,2021/03/23,breakfast,pancakes,\"Olivia, Layla, Nora\"\ne17008,2021/03/24,dinner,sandwich,\ne17015,2021/03/26,dinner,tacos,\ne17019,2021/03/27,dinner,sushi,\"Olivia, Eva, Rylee, Nora, Piper, Lydia, Kinsley, Claire, Avery, Nevaeh, Hazel\"\ne17024,2021/03/28,lunch,chinese food,\ne17025,2021/03/28,dinner,sandwich,\ne17027,2021/03/29,lunch,fish and chips,\"Kayden, Emily\"\ne17029,2021/03/30,dinner,fish and chips,\ne17033,2021/03/31,lunch,steak,\ne17034,2021/03/31,dinner,fish and chips,\ne17036,2021/04/01,breakfast,cereals,\"Eva, Hazel, Nora, Lydia, Piper, Rylee, Avery\"\ne17037,2021/04/01,lunch,fish and chips,\ne17039,2021/04/02,lunch,chinese food,\ne17040,2021/04/02,dinner,indian food,\ne17044,2021/04/03,breakfast,cereals,\ne17045,2021/04/03,dinner,pasta,\"Carter, Emily, Kayden, Andrew\"\ne17051,2021/04/05,breakfast,\"eggs, sausages, and bread\",\ne17055,2021/04/06,breakfast,oatmeal,\"Emily, Carter\"\ne17056,2021/04/06,dinner,sushi,\ne17062,2021/04/08,lunch,fish and chips,\"Eva, Kinsley, Hazel, Rylee, Piper\"\ne17064,2021/04/09,breakfast,oatmeal,\"Kayden, Emily, Andrew, Carter\"\ne17065,2021/04/09,lunch,indian food,\ne17067,2021/04/10,lunch,a burger,\"Benjamin, Avery, Willow, Jackson\"\ne17070,2021/04/11,lunch,tacos,\ne17071,2021/04/11,dinner,sandwich,\ne17075,2021/04/12,breakfast,toast and cheese,\ne17076,2021/04/12,lunch,pasta,\ne17077,2021/04/12,dinner,sushi,\ne17079,2021/04/13,breakfast,pancakes,\"Layla, Eva, Piper, Piper, Avery, Rylee, Nevaeh\"\ne17080,2021/04/13,lunch,steak,\"Carter, Emily, Andrew, Kayden\"\ne17081,2021/04/13,dinner,sushi,Kayden\ne17084,2021/04/14,breakfast,cereals,\ne17087,2021/04/15,lunch,pasta,\"Hazel, Claire, Olivia\"\ne17090,2021/04/16,dinner,pasta,\"Andrew, Kayden, Carter\"\ne17094,2021/04/17,breakfast,peanut-butter-jam,\ne17095,2021/04/17,dinner,sushi,\ne17097,2021/04/18,dinner,steak,\ne17102,2021/04/19,lunch,pasta,\ne17103,2021/04/19,dinner,pasta,\ne17106,2021/04/20,lunch,sushi,\ne17108,2021/04/21,breakfast,pancakes,\"Jackson, Willow\"\ne17110,2021/04/22,breakfast,pancakes,\ne17111,2021/04/22,lunch,chinese food,Andrew\ne17112,2021/04/22,dinner,chinese food,\ne17119,2021/04/24,breakfast,\"eggs, sausages, and bread\",\ne17120,2021/04/24,lunch,a burger,\ne17123,2021/04/25,breakfast,toast and cheese,\"Claire, Lydia, Layla, Piper, Olivia, Piper\"\ne17127,2021/04/26,lunch,pasta,\ne17128,2021/04/26,dinner,indian food,\ne17133,2021/04/27,breakfast,pancakes,\"Carter, Kayden\"\ne17134,2021/04/27,lunch,sushi,\ne17135,2021/04/27,dinner,chinese food,\"Nevaeh, Claire, Lydia, Nora, Avery, Olivia, Hazel, Piper, Rylee, Layla\"\ne17138,2021/04/28,lunch,sandwich,\ne17144,2021/04/30,breakfast,toast and cheese,\ne17145,2021/04/30,lunch,tacos,\"Claire, Layla, Lydia, Avery, Piper, Rylee, Hazel\"\ne17149,2021/05/02,breakfast,\"eggs, sausages, and bread\",\ne17150,2021/05/02,lunch,tacos,\ne17151,2021/05/02,dinner,pasta,\ne17154,2021/05/03,dinner,tacos,Hazel\ne17157,2021/05/04,breakfast,oatmeal,\ne17158,2021/05/04,dinner,tacos,\ne17164,2021/05/06,lunch,sandwich,\"Andrew, Emily\"\ne17167,2021/05/07,breakfast,cereals,\"Willow, Benjamin, Jackson\"\ne17168,2021/05/07,lunch,chinese food,\"Kayden, Carter, Andrew, Emily\"\ne17170,2021/05/08,lunch,fish and chips,\"Olivia, Rylee, Hazel\"\ne17171,2021/05/08,dinner,steak,\ne17179,2021/05/10,lunch,sushi,\ne17180,2021/05/10,dinner,sushi,\ne17184,2021/05/11,breakfast,toast and cheese,\"Emily, Carter, Andrew\"\ne17185,2021/05/11,dinner,indian food,\"Eva, Piper, Nora, Olivia, Rylee, Layla, Piper, Claire, Avery, Kinsley, Nevaeh, Lydia, Hazel\"\ne17189,2021/05/12,lunch,tacos,\ne17190,2021/05/12,dinner,pasta,\ne17192,2021/05/13,breakfast,cereals,\ne17193,2021/05/13,dinner,chinese food,\ne17196,2021/05/14,lunch,fish and chips,\ne17204,2021/05/17,lunch,pasta,\"Andrew, Carter\"\ne17211,2021/05/19,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Emily, Andrew\"\ne17212,2021/05/19,lunch,fish and chips,\ne17213,2021/05/19,dinner,chinese food,\ne17217,2021/05/20,breakfast,\"eggs, sausages, and bread\",\ne17218,2021/05/20,lunch,fish and chips,\ne17221,2021/05/21,breakfast,peanut-butter-jam,\ne17222,2021/05/21,lunch,indian food,\"Rylee, Nora, Avery, Piper, Layla, Kinsley\"\ne17226,2021/05/22,dinner,steak,\"Emily, Kayden\"\ne17230,2021/05/23,breakfast,cereals,\ne17231,2021/05/23,dinner,chinese food,\ne17234,2021/05/24,lunch,indian food,\"Kayden, Andrew, Carter, Emily\"\ne17237,2021/05/25,breakfast,cereals,\"Avery, Benjamin, Jackson, Willow\"\ne17238,2021/05/25,dinner,a burger,\ne17245,2021/05/28,lunch,sandwich,\ne17248,2021/05/29,lunch,sandwich,\"Claire, Nevaeh, Olivia\"\ne17251,2021/05/30,breakfast,toast and cheese,\"Benjamin, Avery\"\ne17252,2021/05/30,dinner,steak,\"Layla, Piper, Lydia, Rylee, Nevaeh\"\ne17256,2021/05/31,dinner,tacos,Carter\ne17261,2021/06/01,breakfast,pancakes,\ne17262,2021/06/01,dinner,steak,\"Emily, Kayden, Andrew, Carter\"\ne17263,2021/06/02,breakfast,oatmeal,\ne17264,2021/06/02,lunch,chinese food,\"Kayden, Carter\"\ne17265,2021/06/02,dinner,sandwich,Kayden\ne17267,2021/06/03,breakfast,toast and cheese,\ne17268,2021/06/03,dinner,indian food,\ne17270,2021/06/04,breakfast,cereals,\"Kinsley, Piper, Avery\"\ne17271,2021/06/04,dinner,sushi,Willow\ne17276,2021/06/05,breakfast,toast and cheese,\ne17277,2021/06/05,dinner,fish and chips,\ne17281,2021/06/06,breakfast,toast and cheese,\ne17282,2021/06/06,dinner,pasta,\ne17287,2021/06/07,breakfast,peanut-butter-jam,\"Emily, Andrew, Carter\"\ne17288,2021/06/07,lunch,sushi,\ne17292,2021/06/08,breakfast,cereals,\ne17293,2021/06/08,lunch,sandwich,\"Lydia, Piper, Nora\"\ne17297,2021/06/09,breakfast,oatmeal,\ne17298,2021/06/09,lunch,indian food,\"Emily, Kayden, Carter, Andrew\"\ne17299,2021/06/09,dinner,steak,\ne17303,2021/06/10,lunch,indian food,\"Nora, Claire, Nevaeh, Piper, Olivia\"\ne17309,2021/06/12,breakfast,toast and cheese,\ne17310,2021/06/12,dinner,fish and chips,Benjamin\ne17313,2021/06/13,breakfast,peanut-butter-jam,\ne17314,2021/06/13,lunch,indian food,\"Carter, Emily, Kayden, Andrew\"\ne17315,2021/06/13,dinner,chinese food,\ne17318,2021/06/14,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew\"\ne17319,2021/06/14,lunch,steak,\ne17323,2021/06/15,lunch,a burger,\ne17326,2021/06/16,breakfast,oatmeal,\ne17327,2021/06/17,breakfast,\"eggs, sausages, and bread\",\ne17328,2021/06/17,lunch,indian food,\ne17329,2021/06/17,dinner,tacos,\ne17332,2021/06/18,lunch,steak,Kayden\ne17336,2021/06/20,dinner,sandwich,\ne17340,2021/06/21,breakfast,oatmeal,Carter\ne17341,2021/06/21,lunch,fish and chips,\ne17342,2021/06/21,dinner,fish and chips,Carter\ne17344,2021/06/22,lunch,steak,\"Kayden, Carter, Emily, Andrew\"\ne17346,2021/06/23,lunch,pasta,\ne17347,2021/06/23,dinner,sandwich,\ne17351,2021/06/24,breakfast,oatmeal,\ne17352,2021/06/24,lunch,sandwich,\ne17353,2021/06/24,dinner,steak,\ne17355,2021/06/25,lunch,fish and chips,\ne17360,2021/06/27,dinner,indian food,\"Andrew, Carter, Emily\"\ne17365,2021/06/28,lunch,sushi,\ne17366,2021/06/28,dinner,pasta,\ne17372,2021/06/29,lunch,a burger,\ne17373,2021/06/29,dinner,pasta,Lydia\ne17376,2021/06/30,lunch,steak,\ne17377,2021/06/30,dinner,indian food,\ne17381,2021/07/01,breakfast,cereals,\"Carter, Kayden, Emily\"\ne17382,2021/07/01,lunch,a burger,\ne17384,2021/07/02,breakfast,toast and cheese,\"Avery, Benjamin, Willow\"\ne17385,2021/07/02,lunch,tacos,\ne17386,2021/07/03,breakfast,pancakes,\ne17387,2021/07/03,lunch,a burger,\ne17390,2021/07/04,breakfast,peanut-butter-jam,\"Jackson, Avery\"\ne17391,2021/07/04,lunch,sushi,\"Avery, Willow, Jackson\"\ne17392,2021/07/04,dinner,sandwich,\ne17397,2021/07/05,breakfast,oatmeal,\ne17398,2021/07/05,lunch,a burger,\"Andrew, Kayden, Carter\"\ne17400,2021/07/06,breakfast,oatmeal,\"Benjamin, Jackson, Willow, Avery\"\ne17401,2021/07/06,lunch,fish and chips,\ne17406,2021/07/07,breakfast,pancakes,\"Avery, Jackson\"\ne17407,2021/07/07,dinner,a burger,\"Claire, Layla, Rylee, Lydia\"\ne17411,2021/07/08,breakfast,toast and cheese,\ne17412,2021/07/08,lunch,steak,\ne17413,2021/07/08,dinner,a burger,\ne17416,2021/07/09,lunch,chinese food,\ne17417,2021/07/09,dinner,chinese food,\"Jackson, Benjamin, Avery, Willow\"\ne17424,2021/07/11,dinner,indian food,\"Piper, Hazel, Piper, Lydia\"\ne17427,2021/07/12,breakfast,cereals,\ne17428,2021/07/12,dinner,fish and chips,\"Jackson, Willow, Avery, Benjamin\"\ne17431,2021/07/13,lunch,fish and chips,\ne17432,2021/07/13,dinner,chinese food,\ne17435,2021/07/14,breakfast,pancakes,\ne17439,2021/07/15,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden, Emily\"\ne17440,2021/07/15,dinner,sandwich,\ne17441,2021/07/16,breakfast,oatmeal,\"Jackson, Benjamin, Willow, Avery\"\ne17442,2021/07/16,lunch,a burger,\ne17443,2021/07/16,dinner,pasta,\"Emily, Carter\"\ne17449,2021/07/17,breakfast,\"eggs, sausages, and bread\",\"Avery, Lydia\"\ne17454,2021/07/18,breakfast,toast and cheese,\"Lydia, Eva, Hazel, Piper, Kinsley, Layla, Nora, Avery\"\ne17455,2021/07/18,lunch,sushi,\ne17456,2021/07/18,dinner,sandwich,Kayden\ne17458,2021/07/19,breakfast,peanut-butter-jam,\ne17463,2021/07/20,breakfast,pancakes,\"Hazel, Layla, Avery, Eva, Lydia, Kinsley, Nora, Nevaeh, Olivia, Rylee, Claire, Piper\"\ne17464,2021/07/20,dinner,steak,\"Willow, Benjamin, Jackson, Avery\"\ne17466,2021/07/21,breakfast,\"eggs, sausages, and bread\",\ne17467,2021/07/21,dinner,sushi,\ne17468,2021/07/22,breakfast,cereals,\ne17469,2021/07/22,dinner,chinese food,\"Emily, Carter, Andrew\"\ne17476,2021/07/24,dinner,fish and chips,\"Lydia, Piper, Hazel, Piper, Olivia, Avery, Nevaeh, Eva, Kinsley, Claire, Layla, Nora, Rylee\"\ne17480,2021/07/26,dinner,sandwich,\"Hazel, Layla, Eva, Piper, Claire\"\ne17485,2021/07/27,breakfast,toast and cheese,\"Carter, Emily, Andrew, Kayden\"\ne17486,2021/07/27,lunch,fish and chips,\"Avery, Willow, Benjamin\"\ne17487,2021/07/27,dinner,a burger,Andrew\ne17492,2021/07/29,breakfast,peanut-butter-jam,\"Benjamin, Willow, Avery\"\ne17493,2021/07/29,dinner,tacos,\ne17495,2021/07/30,dinner,indian food,\"Hazel, Nora, Olivia, Rylee, Avery, Nevaeh, Claire, Piper, Eva, Piper, Layla\"\ne17499,2021/07/31,dinner,fish and chips,Emily\ne17505,2021/08/02,lunch,chinese food,\ne17506,2021/08/02,dinner,chinese food,\"Claire, Olivia, Piper, Lydia, Kinsley, Eva, Nora\"\ne17511,2021/08/03,breakfast,\"eggs, sausages, and bread\",\"Avery, Jackson, Willow\"\ne17512,2021/08/03,lunch,sushi,\"Rylee, Nora, Avery, Layla, Nevaeh, Claire, Kinsley, Eva\"\ne17513,2021/08/03,dinner,fish and chips,Avery\ne17516,2021/08/04,breakfast,peanut-butter-jam,\"Kayden, Carter, Emily, Andrew\"\ne17517,2021/08/04,lunch,indian food,\ne17518,2021/08/04,dinner,steak,\ne17522,2021/08/05,breakfast,oatmeal,\ne17523,2021/08/05,lunch,sandwich,\ne17524,2021/08/05,dinner,sushi,\"Kinsley, Eva, Rylee, Piper, Nora, Hazel\"\ne17528,2021/08/06,breakfast,pancakes,\ne17529,2021/08/06,lunch,steak,\ne17530,2021/08/06,dinner,sushi,\ne17532,2021/08/07,lunch,chinese food,\"Avery, Benjamin\"\ne17535,2021/08/08,dinner,a burger,\ne17539,2021/08/09,breakfast,cereals,\"Avery, Nevaeh, Kinsley, Layla, Piper, Lydia, Eva\"\ne17540,2021/08/09,lunch,steak,Jackson\ne17543,2021/08/10,lunch,a burger,\ne17544,2021/08/10,dinner,steak,\ne17549,2021/08/11,dinner,tacos,\ne17553,2021/08/12,breakfast,oatmeal,\ne17557,2021/08/13,lunch,tacos,\"Carter, Emily, Kayden\"\ne17561,2021/08/15,breakfast,\"eggs, sausages, and bread\",\ne17562,2021/08/15,dinner,pasta,\ne17566,2021/08/16,breakfast,oatmeal,\ne17567,2021/08/16,lunch,a burger,\ne17570,2021/08/17,breakfast,cereals,\ne17571,2021/08/17,lunch,tacos,\ne17572,2021/08/17,dinner,sushi,\"Lydia, Rylee, Layla, Piper, Piper, Nora\"\ne17575,2021/08/18,dinner,pasta,\ne17584,2021/08/20,lunch,pasta,\"Emily, Carter, Andrew, Kayden\"\ne17585,2021/08/20,dinner,sushi,\ne17588,2021/08/21,breakfast,peanut-butter-jam,Emily\ne17590,2021/08/22,dinner,indian food,\ne17595,2021/08/24,breakfast,oatmeal,\"Layla, Hazel, Nora, Piper, Rylee\"\ne17598,2021/08/25,breakfast,toast and cheese,\ne17599,2021/08/25,lunch,indian food,\ne17603,2021/08/26,breakfast,oatmeal,\"Nevaeh, Lydia, Piper, Nora\"\ne17604,2021/08/26,lunch,a burger,\ne17605,2021/08/26,dinner,steak,\ne17609,2021/08/27,breakfast,peanut-butter-jam,\"Layla, Eva, Piper, Piper, Lydia, Nevaeh, Avery\"\ne17610,2021/08/27,dinner,pasta,\ne17612,2021/08/28,lunch,sandwich,\"Emily, Carter, Kayden, Andrew\"\ne17613,2021/08/28,dinner,a burger,Jackson\ne17617,2021/08/29,breakfast,\"eggs, sausages, and bread\",\ne17618,2021/08/29,dinner,pasta,\ne17619,2021/08/30,breakfast,oatmeal,\ne17620,2021/08/30,lunch,sandwich,\ne17621,2021/08/30,dinner,sandwich,\ne17624,2021/08/31,breakfast,pancakes,\ne17625,2021/08/31,dinner,indian food,\ne17627,2021/09/01,lunch,pasta,\ne17628,2021/09/01,dinner,pasta,\ne17630,2021/09/02,breakfast,toast and cheese,\ne17631,2021/09/02,dinner,pasta,\ne17635,2021/09/03,lunch,sandwich,\"Kayden, Emily\"\ne17640,2021/09/04,breakfast,peanut-butter-jam,\ne17641,2021/09/04,lunch,tacos,\ne17642,2021/09/04,dinner,steak,\ne17648,2021/09/05,dinner,sushi,\ne17651,2021/09/06,breakfast,cereals,\"Emily, Carter, Kayden, Andrew\"\ne17652,2021/09/06,lunch,indian food,\ne17653,2021/09/06,dinner,tacos,\ne17657,2021/09/07,lunch,chinese food,\"Piper, Layla, Claire, Lydia\"\ne17661,2021/09/08,breakfast,toast and cheese,\"Carter, Emily, Andrew, Kayden\"\ne17662,2021/09/08,lunch,tacos,Olivia\ne17665,2021/09/09,breakfast,peanut-butter-jam,\"Benjamin, Avery\"\ne17666,2021/09/09,dinner,a burger,\ne17670,2021/09/10,lunch,a burger,\ne17674,2021/09/11,dinner,pasta,\ne17676,2021/09/12,breakfast,toast and cheese,\"Olivia, Piper, Rylee, Piper, Eva, Lydia, Kinsley\"\ne17679,2021/09/13,dinner,pasta,\ne17683,2021/09/14,breakfast,toast and cheese,\ne17684,2021/09/14,lunch,indian food,\ne17685,2021/09/14,dinner,sushi,\ne17687,2021/09/15,lunch,a burger,Emily\ne17691,2021/09/16,lunch,sandwich,\"Avery, Jackson, Benjamin\"\ne17695,2021/09/17,breakfast,toast and cheese,\ne17699,2021/09/18,breakfast,pancakes,\ne17702,2021/09/19,breakfast,\"eggs, sausages, and bread\",\"Avery, Willow\"\ne17703,2021/09/19,lunch,fish and chips,\ne17704,2021/09/19,dinner,sushi,\ne17709,2021/09/20,lunch,sandwich,\ne17714,2021/09/21,breakfast,pancakes,\ne17717,2021/09/22,lunch,sushi,\ne17721,2021/09/23,lunch,sushi,\"Kayden, Emily, Andrew, Carter\"\ne17722,2021/09/23,dinner,sushi,\"Emily, Kayden, Carter\"\ne17726,2021/09/24,breakfast,oatmeal,\ne17727,2021/09/24,lunch,sushi,\ne17728,2021/09/24,dinner,sandwich,\ne17729,2021/09/25,dinner,indian food,\ne17733,2021/09/26,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew\"\ne17734,2021/09/26,lunch,pasta,\ne17735,2021/09/26,dinner,sandwich,\ne17739,2021/09/27,lunch,chinese food,\"Kayden, Carter\"\ne17743,2021/09/28,lunch,a burger,\"Andrew, Kayden, Carter, Emily\"\ne17746,2021/09/29,breakfast,peanut-butter-jam,\ne17747,2021/09/29,lunch,steak,\"Kinsley, Layla, Nora, Olivia, Hazel, Claire, Avery, Nevaeh, Rylee, Piper\"\ne17750,2021/09/30,breakfast,peanut-butter-jam,\ne17751,2021/09/30,lunch,a burger,\ne17752,2021/10/01,breakfast,toast and cheese,\ne17753,2021/10/01,dinner,sushi,\"Benjamin, Willow, Avery\"\ne17757,2021/10/02,breakfast,toast and cheese,Kayden\ne17760,2021/10/03,breakfast,pancakes,\"Nora, Kinsley, Nevaeh, Avery, Rylee, Piper, Claire, Lydia\"\ne17764,2021/10/04,breakfast,toast and cheese,\ne17765,2021/10/04,lunch,tacos,\ne17768,2021/10/05,dinner,sushi,Benjamin\ne17771,2021/10/06,lunch,sandwich,Kayden\ne17777,2021/10/07,dinner,chinese food,\"Emily, Carter, Kayden, Andrew\"\ne17783,2021/10/09,dinner,indian food,Andrew\ne17787,2021/10/10,breakfast,cereals,\"Andrew, Kayden\"\ne17788,2021/10/10,lunch,chinese food,\"Benjamin, Willow, Avery, Jackson\"\ne17792,2021/10/11,breakfast,\"eggs, sausages, and bread\",\ne17793,2021/10/11,lunch,sushi,\ne17795,2021/10/12,breakfast,pancakes,\ne17796,2021/10/12,lunch,indian food,\ne17799,2021/10/13,breakfast,pancakes,\ne17800,2021/10/13,dinner,fish and chips,\ne17808,2021/10/15,breakfast,oatmeal,\ne17809,2021/10/15,lunch,sandwich,\"Benjamin, Willow\"\ne17810,2021/10/15,dinner,chinese food,\ne17817,2021/10/17,breakfast,cereals,\ne17820,2021/10/18,breakfast,oatmeal,\ne17821,2021/10/18,dinner,chinese food,\ne17822,2021/10/19,dinner,fish and chips,\ne17828,2021/10/20,breakfast,peanut-butter-jam,\ne17829,2021/10/20,lunch,sandwich,\ne17830,2021/10/20,dinner,steak,\ne17836,2021/10/21,breakfast,peanut-butter-jam,\"Carter, Kayden\"\ne17837,2021/10/21,lunch,fish and chips,\ne17838,2021/10/21,dinner,sushi,\ne17840,2021/10/22,breakfast,cereals,\ne17844,2021/10/23,breakfast,toast and cheese,\ne17847,2021/10/24,breakfast,oatmeal,Emily\ne17848,2021/10/24,dinner,sandwich,\ne17852,2021/10/25,dinner,sushi,\ne17856,2021/10/26,breakfast,pancakes,\ne17857,2021/10/26,dinner,steak,\"Avery, Willow, Jackson, Benjamin\"\ne17861,2021/10/27,lunch,fish and chips,\"Jackson, Benjamin, Avery\"\ne17862,2021/10/27,dinner,fish and chips,\ne17865,2021/10/28,lunch,a burger,\ne17866,2021/10/28,dinner,indian food,\"Piper, Claire, Lydia, Nora\"\ne17872,2021/10/29,dinner,tacos,\"Hazel, Lydia, Olivia, Avery, Piper, Nevaeh, Rylee, Claire, Kinsley, Layla\"\ne17876,2021/10/30,breakfast,toast and cheese,\ne17877,2021/10/30,dinner,pasta,\ne17881,2021/10/31,dinner,a burger,\"Andrew, Carter, Kayden, Emily\"\ne17885,2021/11/01,lunch,pasta,\ne17890,2021/11/02,breakfast,toast and cheese,\"Benjamin, Jackson, Willow, Avery\"\ne17891,2021/11/02,lunch,a burger,\ne17894,2021/11/03,breakfast,oatmeal,\ne17898,2021/11/04,breakfast,toast and cheese,\ne17899,2021/11/04,lunch,chinese food,\"Hazel, Piper, Rylee\"\ne17900,2021/11/04,dinner,sandwich,\ne17903,2021/11/05,breakfast,cereals,\ne17904,2021/11/05,lunch,sushi,Carter\ne17910,2021/11/07,lunch,fish and chips,\"Olivia, Hazel, Piper, Rylee\"\ne17914,2021/11/08,lunch,sandwich,\ne17915,2021/11/08,dinner,pasta,\"Andrew, Emily\"\ne17920,2021/11/09,lunch,chinese food,\"Carter, Kayden, Andrew\"\ne17921,2021/11/09,dinner,pasta,\ne17924,2021/11/10,lunch,a burger,\ne17927,2021/11/11,lunch,steak,\ne17928,2021/11/11,dinner,sandwich,\ne17931,2021/11/12,breakfast,\"eggs, sausages, and bread\",\"Piper, Olivia, Claire, Lydia, Nevaeh, Eva, Avery, Nora, Piper, Hazel, Layla, Rylee, Kinsley\"\ne17940,2021/11/14,breakfast,peanut-butter-jam,\ne17945,2021/11/15,breakfast,pancakes,\ne17949,2021/11/16,dinner,indian food,\ne17953,2021/11/18,dinner,pasta,\"Emily, Carter, Andrew\"\ne17959,2021/11/19,breakfast,peanut-butter-jam,\"Kayden, Andrew, Emily\"\ne17964,2021/11/20,lunch,steak,\ne17965,2021/11/20,dinner,chinese food,\"Carter, Andrew, Emily, Kayden\"\ne17969,2021/11/21,lunch,a burger,\ne17970,2021/11/21,dinner,tacos,\ne17973,2021/11/22,breakfast,pancakes,\ne17974,2021/11/22,lunch,indian food,\"Jackson, Willow\"\ne17975,2021/11/22,dinner,pasta,\ne17977,2021/11/23,breakfast,oatmeal,\ne17978,2021/11/23,lunch,sandwich,Carter\ne17981,2021/11/24,dinner,sushi,\ne17983,2021/11/25,dinner,a burger,\ne17987,2021/11/26,breakfast,pancakes,\"Kayden, Emily, Andrew, Carter\"\ne17989,2021/11/27,breakfast,pancakes,\"Kayden, Andrew\"\ne17990,2021/11/27,lunch,indian food,Andrew\ne17997,2021/11/29,breakfast,oatmeal,\"Claire, Piper, Layla, Eva, Rylee, Olivia, Lydia, Nevaeh, Hazel\"\ne18001,2021/12/01,lunch,steak,\ne18006,2021/12/03,breakfast,pancakes,\ne18007,2021/12/03,lunch,indian food,\ne18008,2021/12/03,dinner,a burger,\ne18011,2021/12/04,breakfast,pancakes,\"Andrew, Kayden, Emily\"\ne18012,2021/12/05,dinner,pasta,\ne18015,2021/12/06,lunch,indian food,\ne18019,2021/12/07,lunch,steak,\"Kayden, Emily, Andrew, Carter\"\ne18022,2021/12/08,lunch,tacos,\"Nevaeh, Olivia, Claire, Hazel, Layla, Kinsley, Nora, Avery, Eva\"\ne18023,2021/12/08,dinner,pasta,\"Eva, Layla, Rylee\"\ne18027,2021/12/09,lunch,chinese food,\"Emily, Carter, Andrew\"\ne18031,2021/12/11,lunch,sushi,\ne18032,2021/12/11,dinner,indian food,\"Claire, Hazel, Nevaeh, Lydia, Nora, Piper, Kinsley, Avery, Piper, Rylee, Olivia, Eva\"\ne18034,2021/12/12,breakfast,oatmeal,\ne18036,2021/12/13,breakfast,cereals,\ne18037,2021/12/13,lunch,chinese food,\ne18039,2021/12/14,breakfast,oatmeal,\"Benjamin, Willow, Avery\"\ne18041,2021/12/15,breakfast,cereals,\ne18042,2021/12/15,lunch,indian food,\"Layla, Eva, Lydia, Avery, Rylee, Nora, Olivia, Claire, Nevaeh, Hazel\"\ne18043,2021/12/15,dinner,sushi,\ne18052,2021/12/18,dinner,pasta,\ne18057,2021/12/19,breakfast,pancakes,\"Kinsley, Hazel, Rylee, Piper\"\ne18058,2021/12/19,lunch,sushi,\ne18060,2021/12/20,lunch,indian food,Carter\ne18061,2021/12/20,dinner,a burger,\ne18066,2021/12/22,lunch,a burger,\"Emily, Carter\"\ne18067,2021/12/22,dinner,pasta,\"Avery, Olivia, Eva, Lydia, Hazel, Piper, Claire, Nevaeh, Nora\"\ne18071,2021/12/23,breakfast,\"eggs, sausages, and bread\",\"Hazel, Lydia, Layla, Piper\"\ne18072,2021/12/23,lunch,sandwich,\"Benjamin, Jackson\"\ne18073,2021/12/23,dinner,steak,\ne18077,2021/12/24,dinner,fish and chips,\"Benjamin, Jackson\"\ne18079,2021/12/25,dinner,sandwich,Carter\ne18087,2021/12/27,breakfast,\"eggs, sausages, and bread\",\ne18088,2021/12/27,dinner,chinese food,\ne18093,2021/12/28,breakfast,pancakes,Hazel\ne18094,2021/12/28,lunch,fish and chips,\"Carter, Emily, Kayden, Andrew\"\ne18098,2021/12/29,breakfast,\"eggs, sausages, and bread\",\"Kayden, Emily, Carter\"\ne18099,2021/12/29,lunch,tacos,Kayden\ne18106,2021/12/31,breakfast,pancakes,\ne18107,2021/12/31,lunch,sushi,\"Willow, Benjamin, Jackson\"\ne18108,2021/12/31,dinner,chinese food,\ne18254,2022/01/01,breakfast,pancakes,Carter\ne18255,2022/01/01,lunch,a burger,\"Olivia, Lydia, Avery\"\ne18258,2022/01/02,dinner,chinese food,\ne18262,2022/01/03,breakfast,cereals,\ne18263,2022/01/04,dinner,fish and chips,\ne18268,2022/01/05,breakfast,oatmeal,\ne18273,2022/01/07,breakfast,toast and cheese,\"Avery, Benjamin, Willow, Jackson\"\ne18277,2022/01/09,breakfast,cereals,Carter\ne18278,2022/01/09,lunch,tacos,\ne18279,2022/01/09,dinner,a burger,\ne18283,2022/01/10,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden\"\ne18284,2022/01/10,lunch,indian food,Carter\ne18285,2022/01/10,dinner,indian food,Avery\ne18292,2022/01/12,breakfast,peanut-butter-jam,\"Avery, Jackson\"\ne18293,2022/01/12,lunch,a burger,\ne18294,2022/01/12,dinner,sushi,\ne18297,2022/01/13,lunch,steak,\ne18300,2022/01/14,breakfast,toast and cheese,Andrew\ne18301,2022/01/14,dinner,chinese food,\"Piper, Nora, Nevaeh, Piper, Hazel\"\ne18304,2022/01/15,breakfast,peanut-butter-jam,\"Kayden, Carter, Andrew, Emily\"\ne18305,2022/01/15,lunch,pasta,\ne18306,2022/01/15,dinner,tacos,\"Piper, Nevaeh, Lydia, Hazel, Nora, Piper, Kinsley, Olivia\"\ne18308,2022/01/16,breakfast,oatmeal,\ne18309,2022/01/16,lunch,a burger,\"Carter, Kayden, Emily\"\ne18311,2022/01/17,lunch,a burger,\"Layla, Lydia, Nevaeh, Nora, Avery, Claire, Kinsley, Piper, Piper, Rylee, Hazel\"\ne18313,2022/01/18,lunch,a burger,\ne18314,2022/01/18,dinner,chinese food,Jackson\ne18316,2022/01/19,breakfast,toast and cheese,\"Kayden, Emily, Andrew\"\ne18317,2022/01/19,dinner,tacos,Benjamin\ne18318,2022/01/20,lunch,fish and chips,\ne18325,2022/01/22,breakfast,\"eggs, sausages, and bread\",\ne18326,2022/01/22,dinner,sandwich,\ne18328,2022/01/23,lunch,sandwich,\ne18331,2022/01/24,lunch,pasta,\"Hazel, Nora, Piper\"\ne18332,2022/01/24,dinner,sushi,\ne18334,2022/01/25,dinner,a burger,\ne18337,2022/01/26,breakfast,toast and cheese,\ne18338,2022/01/26,lunch,steak,\"Carter, Kayden\"\ne18340,2022/01/27,dinner,pasta,\"Layla, Claire, Nevaeh, Eva, Lydia, Piper, Olivia, Kinsley, Rylee\"\ne18343,2022/01/28,lunch,tacos,\ne18344,2022/01/28,dinner,pasta,\ne18347,2022/01/29,breakfast,oatmeal,\ne18350,2022/01/30,dinner,a burger,\ne18352,2022/01/31,breakfast,\"eggs, sausages, and bread\",\"Piper, Nora, Piper, Eva, Olivia, Lydia, Avery, Rylee, Nevaeh, Claire, Layla, Hazel, Kinsley\"\ne18353,2022/01/31,lunch,chinese food,\"Andrew, Emily\"\ne18355,2022/02/01,breakfast,\"eggs, sausages, and bread\",\"Emily, Kayden, Carter, Andrew\"\ne18360,2022/02/02,breakfast,pancakes,\ne18365,2022/02/03,breakfast,peanut-butter-jam,\ne18366,2022/02/03,lunch,tacos,\ne18371,2022/02/04,dinner,chinese food,\ne18374,2022/02/05,breakfast,\"eggs, sausages, and bread\",\"Avery, Layla, Hazel, Piper, Nevaeh, Kinsley, Piper, Rylee, Lydia, Claire, Olivia\"\ne18375,2022/02/05,lunch,sushi,Jackson\ne18376,2022/02/05,dinner,fish and chips,\"Rylee, Olivia, Claire, Nevaeh, Lydia, Piper, Piper, Eva, Nora, Avery, Kinsley, Layla, Hazel\"\ne18383,2022/02/07,breakfast,\"eggs, sausages, and bread\",Kayden\ne18385,2022/02/08,lunch,indian food,\ne18388,2022/02/09,lunch,steak,\ne18391,2022/02/10,dinner,steak,\"Carter, Andrew, Kayden\"\ne18394,2022/02/11,lunch,indian food,\ne18397,2022/02/12,dinner,fish and chips,Piper\ne18399,2022/02/13,breakfast,pancakes,\ne18401,2022/02/14,breakfast,\"eggs, sausages, and bread\",\ne18404,2022/02/15,breakfast,oatmeal,\ne18407,2022/02/16,breakfast,toast and cheese,\ne18408,2022/02/16,dinner,indian food,\"Eva, Hazel, Piper, Kinsley, Nora, Layla, Nevaeh, Claire, Lydia, Rylee, Avery, Olivia, Piper\"\ne18409,2022/02/17,dinner,sushi,\"Emily, Kayden, Andrew, Carter\"\ne18412,2022/02/18,lunch,chinese food,\ne18415,2022/02/19,breakfast,pancakes,\ne18419,2022/02/20,breakfast,oatmeal,\ne18420,2022/02/20,lunch,sandwich,\"Nevaeh, Eva, Avery, Lydia, Rylee, Kinsley, Piper, Olivia\"\ne18423,2022/02/21,dinner,a burger,\ne18426,2022/02/22,breakfast,toast and cheese,\"Kayden, Carter\"\ne18427,2022/02/22,lunch,chinese food,\ne18432,2022/02/23,breakfast,pancakes,\"Jackson, Avery, Willow\"\ne18433,2022/02/23,dinner,chinese food,\"Kinsley, Lydia, Olivia, Rylee, Nevaeh, Piper\"\ne18436,2022/02/24,breakfast,oatmeal,\ne18437,2022/02/24,dinner,sushi,\ne18441,2022/02/25,breakfast,\"eggs, sausages, and bread\",\ne18442,2022/02/25,lunch,chinese food,\"Emily, Carter, Andrew\"\ne18443,2022/02/25,dinner,tacos,\"Piper, Nevaeh, Claire, Eva, Piper, Nora, Hazel, Rylee, Lydia, Avery\"\ne18446,2022/02/26,breakfast,peanut-butter-jam,\ne18447,2022/02/26,lunch,sandwich,\ne18450,2022/02/27,breakfast,oatmeal,\ne18452,2022/02/28,breakfast,toast and cheese,\ne18458,2022/03/02,dinner,steak,\ne18461,2022/03/03,lunch,indian food,\ne18462,2022/03/03,dinner,fish and chips,\ne18464,2022/03/04,breakfast,\"eggs, sausages, and bread\",\ne18465,2022/03/04,lunch,a burger,\"Layla, Hazel, Avery, Nora, Piper\"\ne18466,2022/03/04,dinner,sandwich,\ne18470,2022/03/05,breakfast,\"eggs, sausages, and bread\",\ne18471,2022/03/05,dinner,sushi,\ne18476,2022/03/06,dinner,fish and chips,\ne18480,2022/03/07,dinner,steak,\"Emily, Andrew, Carter\"\ne18485,2022/03/08,dinner,pasta,\ne18486,2022/03/09,breakfast,toast and cheese,\ne18489,2022/03/10,breakfast,toast and cheese,\ne18490,2022/03/10,lunch,sandwich,\ne18491,2022/03/10,dinner,chinese food,\ne18497,2022/03/12,dinner,a burger,\ne18500,2022/03/13,breakfast,pancakes,\ne18505,2022/03/14,breakfast,\"eggs, sausages, and bread\",\ne18507,2022/03/15,lunch,fish and chips,\"Avery, Jackson, Willow\"\ne18512,2022/03/17,breakfast,\"eggs, sausages, and bread\",\ne18515,2022/03/18,breakfast,toast and cheese,\"Layla, Eva, Nora\"\ne18516,2022/03/18,lunch,sandwich,\"Benjamin, Jackson\"\ne18517,2022/03/18,dinner,chinese food,\ne18520,2022/03/19,breakfast,oatmeal,\ne18521,2022/03/19,lunch,sushi,\ne18522,2022/03/20,dinner,tacos,\ne18528,2022/03/22,lunch,pasta,\"Piper, Olivia, Piper, Nora, Kinsley, Eva, Nevaeh, Rylee\"\ne18529,2022/03/22,dinner,chinese food,\ne18533,2022/03/23,lunch,sandwich,Nevaeh\ne18534,2022/03/23,dinner,steak,\"Emily, Kayden, Andrew\"\ne18537,2022/03/25,breakfast,toast and cheese,\ne18538,2022/03/25,lunch,steak,\ne18544,2022/03/27,breakfast,toast and cheese,\"Lydia, Avery\"\ne18546,2022/03/28,breakfast,\"eggs, sausages, and bread\",\ne18547,2022/03/28,lunch,sushi,\ne18548,2022/03/28,dinner,chinese food,\"Eva, Lydia, Rylee, Hazel, Nora, Kinsley, Piper, Layla, Avery\"\ne18552,2022/03/29,breakfast,toast and cheese,\ne18553,2022/03/29,dinner,indian food,\ne18561,2022/03/31,lunch,chinese food,\ne18562,2022/03/31,dinner,pasta,\ne18567,2022/04/02,breakfast,cereals,Andrew\ne18568,2022/04/02,lunch,indian food,\"Hazel, Nora, Piper, Avery, Claire, Olivia, Nevaeh, Kinsley, Layla, Lydia\"\ne18569,2022/04/02,dinner,sushi,\ne18572,2022/04/03,breakfast,pancakes,\ne18577,2022/04/04,breakfast,peanut-butter-jam,\"Carter, Emily, Kayden, Andrew\"\ne18581,2022/04/05,breakfast,pancakes,\ne18582,2022/04/05,lunch,a burger,\ne18583,2022/04/05,dinner,sushi,\ne18590,2022/04/08,lunch,fish and chips,\ne18594,2022/04/09,lunch,chinese food,\ne18597,2022/04/10,dinner,sushi,\"Emily, Andrew\"\ne18602,2022/04/11,dinner,tacos,\"Kayden, Carter\"\ne18605,2022/04/12,lunch,indian food,\"Andrew, Kayden\"\ne18608,2022/04/13,lunch,chinese food,\"Benjamin, Jackson\"\ne18611,2022/04/14,lunch,sandwich,\"Andrew, Carter\"\ne18614,2022/04/15,lunch,steak,\ne18620,2022/04/16,lunch,pasta,\ne18623,2022/04/17,breakfast,toast and cheese,\"Carter, Emily, Kayden, Andrew\"\ne18624,2022/04/17,lunch,a burger,\ne18627,2022/04/18,breakfast,toast and cheese,\ne18628,2022/04/18,lunch,a burger,\ne18630,2022/04/19,breakfast,toast and cheese,\"Emily, Andrew, Kayden\"\ne18631,2022/04/19,lunch,sandwich,\"Rylee, Nevaeh, Eva, Hazel, Nora, Olivia, Kinsley, Piper, Piper\"\ne18632,2022/04/19,dinner,fish and chips,\ne18640,2022/04/22,breakfast,cereals,\"Emily, Kayden\"\ne18643,2022/04/23,breakfast,oatmeal,Emily\ne18644,2022/04/23,lunch,steak,\"Willow, Jackson, Avery\"\ne18652,2022/04/25,breakfast,oatmeal,\ne18656,2022/04/26,breakfast,pancakes,\ne18661,2022/04/28,breakfast,cereals,\"Kayden, Emily\"\ne18662,2022/04/28,dinner,a burger,\"Carter, Andrew\"\ne18666,2022/04/29,lunch,sandwich,\ne18667,2022/04/30,breakfast,toast and cheese,\"Carter, Emily, Andrew, Kayden\"\ne18668,2022/04/30,lunch,a burger,Olivia\ne18672,2022/05/01,dinner,steak,\"Andrew, Emily\"\ne18676,2022/05/03,breakfast,pancakes,\"Avery, Jackson, Benjamin, Willow\"\ne18678,2022/05/04,breakfast,toast and cheese,Emily\ne18679,2022/05/04,dinner,steak,\ne18682,2022/05/05,lunch,a burger,\ne18684,2022/05/06,breakfast,peanut-butter-jam,\"Andrew, Kayden\"\ne18685,2022/05/06,lunch,sushi,\ne18686,2022/05/06,dinner,pasta,\ne18690,2022/05/07,dinner,tacos,\"Lydia, Avery, Layla, Rylee, Kinsley, Olivia\"\ne18693,2022/05/08,lunch,tacos,\"Andrew, Emily\"\ne18697,2022/05/09,breakfast,pancakes,\ne18698,2022/05/09,dinner,sushi,\ne18700,2022/05/10,breakfast,peanut-butter-jam,\"Benjamin, Willow, Jackson\"\ne18701,2022/05/10,lunch,steak,\ne18702,2022/05/10,dinner,tacos,\ne18704,2022/05/11,lunch,sushi,\ne18705,2022/05/11,dinner,tacos,\ne18708,2022/05/12,breakfast,oatmeal,\ne18709,2022/05/12,lunch,indian food,\ne18710,2022/05/12,dinner,tacos,\ne18712,2022/05/13,breakfast,peanut-butter-jam,\ne18713,2022/05/13,lunch,tacos,\ne18717,2022/05/14,breakfast,\"eggs, sausages, and bread\",\ne18718,2022/05/14,dinner,sandwich,\ne18719,2022/05/15,breakfast,cereals,\ne18720,2022/05/15,lunch,indian food,\"Kayden, Carter, Emily\"\ne18721,2022/05/15,dinner,sandwich,\"Hazel, Claire, Nora, Olivia, Piper, Layla, Rylee, Nevaeh, Piper, Eva, Kinsley, Avery, Lydia\"\ne18722,2022/05/16,dinner,tacos,\ne18726,2022/05/17,breakfast,cereals,\ne18727,2022/05/17,lunch,chinese food,\"Jackson, Willow, Avery\"\ne18731,2022/05/18,lunch,pasta,\ne18736,2022/05/19,breakfast,peanut-butter-jam,\ne18737,2022/05/19,lunch,tacos,\"Kayden, Carter, Andrew\"\ne18738,2022/05/19,dinner,a burger,\ne18741,2022/05/20,breakfast,toast and cheese,\"Kayden, Andrew\"\ne18742,2022/05/20,dinner,a burger,\ne18745,2022/05/21,dinner,steak,\ne18749,2022/05/22,dinner,a burger,\ne18750,2022/05/23,breakfast,toast and cheese,\"Emily, Carter, Kayden\"\ne18751,2022/05/23,dinner,sushi,\ne18756,2022/05/24,lunch,a burger,\ne18760,2022/05/25,lunch,indian food,\"Emily, Kayden, Carter, Andrew\"\ne18761,2022/05/25,dinner,pasta,\"Avery, Willow, Benjamin\"\ne18766,2022/05/26,lunch,sandwich,Emily\ne18771,2022/05/27,breakfast,pancakes,\"Emily, Andrew, Carter\"\ne18775,2022/05/28,lunch,a burger,\"Andrew, Emily\"\ne18777,2022/05/29,breakfast,pancakes,\ne18778,2022/05/29,dinner,steak,\ne18782,2022/05/30,lunch,sandwich,\"Avery, Piper, Nevaeh, Nora, Claire, Layla, Lydia, Hazel\"\ne18786,2022/05/31,dinner,a burger,\ne18790,2022/06/01,breakfast,\"eggs, sausages, and bread\",\"Layla, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Hazel, Piper\"\ne18791,2022/06/01,dinner,pasta,\ne18796,2022/06/03,dinner,sushi,\ne18802,2022/06/04,breakfast,pancakes,\ne18810,2022/06/07,breakfast,peanut-butter-jam,\ne18813,2022/06/08,breakfast,toast and cheese,\"Carter, Emily\"\ne18814,2022/06/08,lunch,steak,\ne18815,2022/06/09,breakfast,peanut-butter-jam,\ne18816,2022/06/09,lunch,fish and chips,\ne18819,2022/06/10,lunch,sandwich,\ne18820,2022/06/10,dinner,pasta,\ne18822,2022/06/11,breakfast,oatmeal,\ne18823,2022/06/11,lunch,pasta,\ne18827,2022/06/12,dinner,sandwich,\ne18830,2022/06/13,breakfast,cereals,\ne18831,2022/06/13,lunch,a burger,\ne18835,2022/06/14,lunch,chinese food,\"Jackson, Willow\"\ne18836,2022/06/14,dinner,pasta,\"Avery, Jackson, Benjamin\"\ne18839,2022/06/15,breakfast,\"eggs, sausages, and bread\",\ne18840,2022/06/15,lunch,a burger,\ne18843,2022/06/16,dinner,chinese food,\ne18848,2022/06/17,breakfast,oatmeal,\"Nevaeh, Eva, Rylee, Kinsley, Hazel, Piper, Avery, Nora, Layla, Claire, Olivia, Piper, Lydia\"\ne18849,2022/06/17,lunch,steak,\ne18850,2022/06/17,dinner,a burger,\ne18854,2022/06/18,lunch,sandwich,\ne18857,2022/06/20,lunch,a burger,\ne18858,2022/06/20,dinner,sandwich,Andrew\ne18859,2022/06/21,dinner,tacos,\ne18865,2022/06/23,breakfast,toast and cheese,\ne18868,2022/06/24,lunch,chinese food,\ne18869,2022/06/24,dinner,chinese food,\ne18871,2022/06/25,breakfast,pancakes,\"Andrew, Emily, Carter\"\ne18872,2022/06/25,dinner,sandwich,\ne18876,2022/06/26,breakfast,cereals,\ne18877,2022/06/26,dinner,sandwich,\ne18879,2022/06/27,lunch,tacos,\ne18880,2022/06/27,dinner,steak,\ne18888,2022/06/29,breakfast,cereals,Andrew\ne18889,2022/06/29,dinner,pasta,\"Avery, Rylee, Hazel, Lydia, Claire, Nevaeh, Olivia, Piper, Eva, Layla, Piper\"\ne18892,2022/06/30,lunch,steak,\ne18893,2022/06/30,dinner,steak,Andrew\ne18896,2022/07/01,dinner,sandwich,\"Carter, Kayden, Emily, Andrew\"\ne18898,2022/07/02,lunch,a burger,Andrew\ne18901,2022/07/03,breakfast,peanut-butter-jam,\ne18902,2022/07/03,lunch,sandwich,\ne18903,2022/07/03,dinner,tacos,\"Andrew, Emily\"\ne18908,2022/07/04,breakfast,cereals,\"Olivia, Claire, Lydia, Rylee, Piper, Hazel, Avery, Layla, Eva\"\ne18909,2022/07/04,lunch,indian food,\ne18910,2022/07/04,dinner,pasta,\ne18911,2022/07/05,breakfast,cereals,\ne18914,2022/07/06,lunch,fish and chips,\ne18915,2022/07/06,dinner,a burger,\ne18918,2022/07/07,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Andrew\"\ne18919,2022/07/07,lunch,chinese food,\"Andrew, Emily, Kayden, Carter\"\ne18920,2022/07/07,dinner,sandwich,\"Nora, Piper, Claire, Kinsley, Lydia, Avery, Eva\"\ne18924,2022/07/08,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew, Emily\"\ne18925,2022/07/08,dinner,tacos,\ne18935,2022/07/12,breakfast,toast and cheese,\"Andrew, Carter\"\ne18936,2022/07/12,dinner,indian food,\ne18941,2022/07/13,breakfast,pancakes,\ne18942,2022/07/13,lunch,indian food,\ne18945,2022/07/14,lunch,pasta,\ne18947,2022/07/15,breakfast,peanut-butter-jam,\ne18948,2022/07/15,lunch,sushi,Avery\ne18951,2022/07/16,breakfast,cereals,\ne18952,2022/07/16,dinner,fish and chips,\ne18957,2022/07/18,lunch,indian food,\ne18958,2022/07/18,dinner,sandwich,\ne18961,2022/07/19,breakfast,\"eggs, sausages, and bread\",Emily\ne18962,2022/07/19,lunch,tacos,\ne18966,2022/07/21,breakfast,peanut-butter-jam,Emily\ne18967,2022/07/21,lunch,sandwich,\ne18968,2022/07/21,dinner,indian food,\ne18969,2022/07/22,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily, Andrew\"\ne18970,2022/07/22,lunch,tacos,\"Emily, Andrew\"\ne18976,2022/07/24,lunch,fish and chips,\ne18977,2022/07/25,breakfast,toast and cheese,\ne18978,2022/07/25,lunch,indian food,\ne18979,2022/07/25,dinner,tacos,\"Olivia, Nora, Rylee, Avery, Claire, Nevaeh, Eva, Piper, Layla, Piper\"\ne18983,2022/07/26,breakfast,cereals,\"Willow, Jackson, Benjamin, Avery\"\ne18984,2022/07/26,lunch,chinese food,\"Nora, Lydia, Nevaeh, Rylee, Hazel, Eva, Kinsley, Claire, Avery, Piper, Layla, Olivia, Piper\"\ne18985,2022/07/26,dinner,pasta,Kinsley\ne18989,2022/07/27,dinner,a burger,\ne18993,2022/07/28,breakfast,toast and cheese,\"Piper, Olivia, Piper, Claire, Avery, Nevaeh, Hazel, Kinsley, Lydia, Eva, Layla, Nora\"\ne18994,2022/07/28,lunch,sushi,\"Emily, Andrew, Kayden\"\ne18997,2022/07/29,lunch,fish and chips,\ne19002,2022/07/30,lunch,indian food,\"Layla, Kinsley\"\ne19003,2022/07/30,dinner,a burger,\ne19005,2022/08/01,breakfast,peanut-butter-jam,\ne19006,2022/08/01,dinner,steak,\ne19011,2022/08/02,dinner,a burger,\ne19016,2022/08/03,lunch,a burger,\ne19017,2022/08/03,dinner,indian food,\"Layla, Rylee\"\ne19020,2022/08/04,breakfast,pancakes,\"Carter, Andrew\"\ne19021,2022/08/04,lunch,chinese food,\ne19026,2022/08/05,lunch,steak,\"Carter, Kayden, Emily\"\ne19027,2022/08/05,dinner,sandwich,\"Kayden, Andrew\"\ne19031,2022/08/06,breakfast,toast and cheese,\"Willow, Avery, Benjamin\"\ne19032,2022/08/06,lunch,tacos,\"Kinsley, Nora, Rylee, Avery, Olivia\"\ne19035,2022/08/07,lunch,steak,\ne19039,2022/08/08,lunch,sushi,\ne19043,2022/08/09,dinner,sandwich,\"Lydia, Olivia, Nora, Piper, Avery\"\ne19045,2022/08/10,dinner,pasta,\ne19048,2022/08/11,breakfast,\"eggs, sausages, and bread\",\ne19049,2022/08/11,lunch,tacos,Emily\ne19050,2022/08/11,dinner,steak,\ne19054,2022/08/12,dinner,sushi,\ne19058,2022/08/13,breakfast,peanut-butter-jam,\ne19061,2022/08/14,lunch,a burger,\ne19066,2022/08/16,breakfast,\"eggs, sausages, and bread\",\ne19067,2022/08/16,lunch,fish and chips,\ne19068,2022/08/16,dinner,fish and chips,\ne19071,2022/08/17,breakfast,peanut-butter-jam,\ne19072,2022/08/17,lunch,steak,\"Carter, Emily, Andrew, Kayden\"\ne19075,2022/08/18,lunch,steak,\"Piper, Nevaeh, Rylee, Avery, Lydia, Piper\"\ne19080,2022/08/19,breakfast,cereals,\ne19083,2022/08/20,lunch,sushi,\ne19085,2022/08/21,breakfast,peanut-butter-jam,Carter\ne19087,2022/08/22,lunch,pasta,\"Piper, Piper, Nevaeh, Eva, Nora, Kinsley, Lydia, Avery\"\ne19091,2022/08/23,breakfast,\"eggs, sausages, and bread\",\ne19096,2022/08/24,dinner,a burger,\ne19099,2022/08/25,breakfast,cereals,\ne19103,2022/08/26,breakfast,\"eggs, sausages, and bread\",\ne19112,2022/08/28,breakfast,pancakes,\ne19113,2022/08/28,dinner,indian food,\ne19122,2022/08/30,breakfast,oatmeal,\ne19123,2022/08/30,lunch,indian food,\"Carter, Emily, Andrew, Kayden\"\ne19124,2022/08/30,dinner,a burger,Avery\ne19128,2022/08/31,lunch,sushi,Kayden\ne19129,2022/08/31,dinner,tacos,Andrew\ne19132,2022/09/01,breakfast,peanut-butter-jam,\ne19133,2022/09/01,lunch,tacos,\ne19134,2022/09/01,dinner,tacos,Emily\ne19139,2022/09/02,lunch,indian food,\"Kayden, Carter, Emily\"\ne19140,2022/09/02,dinner,a burger,\ne19147,2022/09/04,breakfast,pancakes,\ne19151,2022/09/05,breakfast,pancakes,\"Andrew, Emily, Carter, Kayden\"\ne19152,2022/09/05,lunch,fish and chips,\ne19153,2022/09/05,dinner,fish and chips,\"Carter, Andrew, Emily\"\ne19155,2022/09/06,breakfast,pancakes,\ne19156,2022/09/06,lunch,fish and chips,\"Carter, Kayden, Andrew\"\ne19157,2022/09/06,dinner,sushi,\ne19159,2022/09/07,lunch,indian food,Emily\ne19160,2022/09/07,dinner,fish and chips,\ne19166,2022/09/08,lunch,indian food,Andrew\ne19171,2022/09/09,breakfast,pancakes,\ne19175,2022/09/10,breakfast,peanut-butter-jam,\ne19176,2022/09/10,lunch,sushi,\ne19179,2022/09/11,breakfast,toast and cheese,\ne19180,2022/09/11,lunch,chinese food,\ne19181,2022/09/11,dinner,steak,\"Willow, Benjamin\"\ne19185,2022/09/12,lunch,fish and chips,\ne19188,2022/09/13,breakfast,cereals,\ne19189,2022/09/13,lunch,tacos,\ne19192,2022/09/14,breakfast,peanut-butter-jam,\ne19193,2022/09/14,dinner,a burger,Kayden\ne19197,2022/09/15,lunch,pasta,\ne19198,2022/09/15,dinner,fish and chips,\"Kayden, Carter, Emily, Andrew\"\ne19200,2022/09/16,breakfast,pancakes,\ne19203,2022/09/17,dinner,chinese food,\ne19207,2022/09/18,breakfast,pancakes,\"Hazel, Lydia, Rylee, Olivia, Eva, Kinsley, Avery, Nevaeh, Claire, Piper\"\ne19208,2022/09/18,lunch,fish and chips,\"Emily, Kayden\"\ne19209,2022/09/18,dinner,sandwich,\ne19212,2022/09/20,breakfast,oatmeal,\ne19213,2022/09/20,dinner,chinese food,\"Andrew, Emily\"\ne19216,2022/09/21,dinner,steak,\ne19219,2022/09/22,lunch,fish and chips,\"Eva, Layla, Olivia, Rylee, Nevaeh, Kinsley, Claire, Avery, Hazel, Nora, Piper, Lydia\"\ne19222,2022/09/23,breakfast,cereals,\ne19225,2022/09/24,dinner,sushi,\ne19228,2022/09/25,lunch,sushi,\"Emily, Carter, Andrew, Kayden\"\ne19232,2022/09/26,lunch,a burger,\ne19233,2022/09/26,dinner,chinese food,\ne19237,2022/09/27,breakfast,peanut-butter-jam,\"Avery, Rylee\"\ne19238,2022/09/27,lunch,tacos,\ne19241,2022/09/28,breakfast,peanut-butter-jam,\"Avery, Nevaeh, Rylee, Claire, Piper, Hazel, Kinsley, Layla, Piper, Olivia, Eva, Lydia, Nora\"\ne19242,2022/09/28,dinner,steak,\ne19246,2022/09/29,lunch,pasta,\ne19250,2022/09/30,dinner,sandwich,Kayden\ne19253,2022/10/01,breakfast,cereals,\ne19254,2022/10/01,lunch,chinese food,\ne19258,2022/10/02,dinner,chinese food,\ne19262,2022/10/03,breakfast,toast and cheese,\ne19263,2022/10/03,lunch,fish and chips,\ne19265,2022/10/04,dinner,steak,\"Willow, Benjamin, Avery\"\ne19270,2022/10/05,breakfast,peanut-butter-jam,Andrew\ne19274,2022/10/06,lunch,tacos,\"Andrew, Carter\"\ne19278,2022/10/07,breakfast,peanut-butter-jam,\ne19281,2022/10/08,breakfast,\"eggs, sausages, and bread\",\ne19286,2022/10/09,breakfast,oatmeal,\ne19290,2022/10/10,lunch,sandwich,\"Kayden, Carter, Andrew, Emily\"\ne19291,2022/10/10,dinner,sushi,\ne19294,2022/10/11,breakfast,pancakes,\ne19295,2022/10/11,dinner,a burger,\"Kayden, Andrew\"\ne19299,2022/10/12,breakfast,\"eggs, sausages, and bread\",\"Hazel, Avery, Rylee, Layla, Kinsley, Nevaeh, Lydia, Claire, Piper, Olivia, Eva\"\ne19300,2022/10/12,dinner,sandwich,\"Benjamin, Jackson\"\ne19304,2022/10/13,breakfast,peanut-butter-jam,\ne19305,2022/10/13,lunch,steak,\ne19309,2022/10/14,lunch,fish and chips,\ne19310,2022/10/14,dinner,steak,\"Lydia, Kinsley, Nevaeh, Claire, Rylee, Eva, Olivia, Nora, Avery, Piper, Hazel, Layla\"\ne19314,2022/10/15,dinner,steak,Kinsley\ne19317,2022/10/16,breakfast,oatmeal,\"Jackson, Willow\"\ne19318,2022/10/16,lunch,fish and chips,\ne19321,2022/10/17,breakfast,peanut-butter-jam,\ne19322,2022/10/17,lunch,sandwich,\"Avery, Jackson, Willow\"\ne19324,2022/10/18,dinner,a burger,\"Kayden, Emily\"\ne19330,2022/10/20,lunch,pasta,\ne19331,2022/10/20,dinner,sushi,Kayden\ne19334,2022/10/21,breakfast,\"eggs, sausages, and bread\",\ne19338,2022/10/22,lunch,a burger,\"Jackson, Willow, Avery\"\ne19343,2022/10/23,dinner,pasta,\"Kinsley, Nevaeh, Olivia, Lydia, Rylee, Piper, Piper, Nora, Claire, Avery, Layla\"\ne19346,2022/10/24,breakfast,pancakes,\ne19347,2022/10/24,dinner,tacos,\"Piper, Piper, Eva, Layla, Nevaeh\"\ne19350,2022/10/25,lunch,sushi,\ne19354,2022/10/26,breakfast,toast and cheese,\"Piper, Layla, Claire, Nora, Kinsley, Nevaeh, Lydia, Olivia, Hazel, Eva\"\ne19355,2022/10/26,dinner,steak,\"Olivia, Nevaeh, Lydia, Claire, Eva\"\ne19358,2022/10/27,lunch,chinese food,\ne19359,2022/10/27,dinner,tacos,\ne19362,2022/10/28,breakfast,\"eggs, sausages, and bread\",\ne19363,2022/10/28,lunch,a burger,\ne19366,2022/10/29,breakfast,cereals,\ne19369,2022/10/30,breakfast,pancakes,\ne19375,2022/11/01,dinner,sushi,\ne19378,2022/11/02,breakfast,pancakes,\ne19383,2022/11/03,breakfast,\"eggs, sausages, and bread\",\ne19389,2022/11/04,breakfast,oatmeal,\ne19390,2022/11/04,lunch,pasta,\ne19391,2022/11/04,dinner,indian food,\"Andrew, Carter\"\ne19395,2022/11/05,breakfast,toast and cheese,\ne19404,2022/11/07,breakfast,toast and cheese,Kayden\ne19406,2022/11/08,lunch,a burger,\ne19411,2022/11/09,lunch,steak,\ne19415,2022/11/10,lunch,indian food,\"Kayden, Emily\"\ne19422,2022/11/12,lunch,tacos,\ne19423,2022/11/12,dinner,indian food,Avery\ne19426,2022/11/13,breakfast,toast and cheese,\ne19430,2022/11/14,dinner,chinese food,\"Piper, Lydia, Olivia, Claire, Kinsley, Piper, Avery, Hazel, Rylee\"\ne19431,2022/11/15,breakfast,peanut-butter-jam,\ne19432,2022/11/15,lunch,pasta,\ne19435,2022/11/16,lunch,steak,\ne19440,2022/11/17,breakfast,oatmeal,\ne19445,2022/11/19,lunch,tacos,\"Benjamin, Jackson, Willow, Avery\"\ne19446,2022/11/19,dinner,pasta,\ne19448,2022/11/20,breakfast,cereals,\ne19449,2022/11/20,dinner,sushi,\"Andrew, Kayden\"\ne19452,2022/11/21,breakfast,\"eggs, sausages, and bread\",\ne19457,2022/11/22,dinner,steak,\ne19460,2022/11/23,breakfast,toast and cheese,\"Nora, Avery, Rylee, Hazel, Layla, Claire, Olivia, Piper, Lydia, Eva, Kinsley\"\ne19461,2022/11/23,lunch,chinese food,\"Benjamin, Avery, Willow\"\ne19462,2022/11/24,breakfast,cereals,\"Kinsley, Nevaeh, Olivia, Claire, Hazel\"\ne19463,2022/11/24,lunch,tacos,\"Benjamin, Willow\"\ne19465,2022/11/25,breakfast,peanut-butter-jam,\"Olivia, Nora, Piper, Hazel, Avery, Rylee\"\ne19466,2022/11/25,lunch,steak,\"Emily, Carter\"\ne19467,2022/11/25,dinner,steak,\"Claire, Olivia\"\ne19471,2022/11/26,lunch,a burger,\"Piper, Hazel, Lydia, Avery, Kinsley\"\ne19474,2022/11/27,dinner,a burger,\ne19477,2022/11/28,breakfast,peanut-butter-jam,Kayden\ne19478,2022/11/28,lunch,steak,\ne19479,2022/11/28,dinner,sandwich,\ne19482,2022/11/29,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Andrew\"\ne19483,2022/11/29,lunch,fish and chips,\ne19485,2022/11/30,breakfast,pancakes,\ne19486,2022/11/30,lunch,chinese food,\"Kayden, Emily\"\ne19487,2022/11/30,dinner,sandwich,\ne19490,2022/12/01,lunch,pasta,\"Jackson, Willow, Avery\"\ne19492,2022/12/02,breakfast,cereals,\"Lydia, Rylee, Piper, Nevaeh, Piper\"\ne19496,2022/12/03,breakfast,pancakes,\ne19497,2022/12/03,lunch,tacos,\ne19498,2022/12/03,dinner,pasta,\ne19501,2022/12/04,dinner,pasta,\"Jackson, Benjamin, Willow\"\ne19505,2022/12/06,breakfast,oatmeal,\ne19508,2022/12/07,breakfast,cereals,\ne19510,2022/12/08,lunch,fish and chips,\ne19511,2022/12/08,dinner,pasta,\ne19516,2022/12/10,lunch,fish and chips,\ne19517,2022/12/10,dinner,indian food,\"Nevaeh, Kinsley, Hazel, Avery, Piper, Lydia, Nora\"\ne19519,2022/12/11,lunch,pasta,\"Emily, Kayden, Carter, Andrew\"\ne19520,2022/12/11,dinner,a burger,\"Avery, Benjamin, Jackson\"\ne19525,2022/12/12,breakfast,toast and cheese,\ne19526,2022/12/12,lunch,fish and chips,\"Piper, Piper, Rylee, Eva, Olivia, Claire, Layla, Kinsley, Nora, Nevaeh, Hazel, Lydia, Avery\"\ne19527,2022/12/12,dinner,pasta,\ne19530,2022/12/13,breakfast,pancakes,\"Avery, Piper, Piper, Kinsley, Eva, Layla, Claire, Olivia\"\ne19532,2022/12/14,breakfast,cereals,\ne19533,2022/12/14,dinner,pasta,\"Emily, Carter, Kayden\"\ne19536,2022/12/15,breakfast,\"eggs, sausages, and bread\",\ne19537,2022/12/15,lunch,fish and chips,\ne19538,2022/12/15,dinner,sushi,\ne19540,2022/12/16,breakfast,peanut-butter-jam,\ne19541,2022/12/16,lunch,a burger,\ne19542,2022/12/16,dinner,sandwich,\ne19544,2022/12/17,breakfast,cereals,\ne19545,2022/12/17,lunch,tacos,\ne19546,2022/12/17,dinner,fish and chips,\"Willow, Benjamin, Avery, Jackson\"\ne19550,2022/12/18,lunch,fish and chips,\ne19555,2022/12/19,lunch,chinese food,\ne19558,2022/12/20,lunch,tacos,\"Willow, Benjamin, Avery\"\ne19560,2022/12/21,dinner,tacos,\ne19565,2022/12/23,lunch,indian food,\ne19566,2022/12/23,dinner,pasta,\"Emily, Andrew\"\ne19570,2022/12/24,breakfast,\"eggs, sausages, and bread\",\"Kayden, Emily\"\ne19571,2022/12/24,lunch,tacos,\"Emily, Andrew, Kayden, Carter\"\ne19572,2022/12/24,dinner,tacos,\ne19575,2022/12/25,lunch,a burger,\"Avery, Rylee, Nora, Piper, Olivia, Lydia, Eva, Layla, Piper, Nevaeh, Kinsley\"\ne19576,2022/12/25,dinner,pasta,\ne19579,2022/12/26,breakfast,peanut-butter-jam,\"Lydia, Olivia, Nora\"\ne19583,2022/12/27,dinner,tacos,\ne19586,2022/12/28,breakfast,\"eggs, sausages, and bread\",\"Kinsley, Nora, Eva\"\ne19587,2022/12/28,lunch,sandwich,\ne19588,2022/12/28,dinner,indian food,\"Kayden, Carter, Andrew\"\ne19595,2022/12/30,breakfast,pancakes,\ne19601,2022/12/31,breakfast,cereals,\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/daily_read-log.csv",
    "content": "eid,date,readtype,howlong\ne137,2010/01/03,a book,26\ne142,2010/01/04,news,29\ne155,2010/01/08,news,7\ne158,2010/01/09,social media,40\ne161,2010/01/10,a book,51\ne173,2010/01/13,a book,37\ne177,2010/01/14,news,21\ne187,2010/01/18,a book,16\ne192,2010/01/19,news,49\ne200,2010/01/21,social media,21\ne204,2010/01/22,news,33\ne208,2010/01/23,social media,5\ne214,2010/01/25,a book,35\ne218,2010/01/27,news,52\ne222,2010/01/28,news,44\ne226,2010/01/29,a book,52\ne238,2010/02/01,social media,33\ne245,2010/02/03,social media,17\ne250,2010/02/04,a book,25\ne255,2010/02/05,social media,15\ne261,2010/02/06,social media,28\ne269,2010/02/08,news,34\ne273,2010/02/09,a book,45\ne276,2010/02/10,social media,5\ne280,2010/02/11,news,36\ne283,2010/02/12,social media,40\ne285,2010/02/13,news,46\ne292,2010/02/15,a book,34\ne298,2010/02/16,social media,40\ne301,2010/02/17,social media,53\ne306,2010/02/18,news,24\ne312,2010/02/20,social media,13\ne314,2010/02/21,news,26\ne319,2010/02/22,social media,47\ne329,2010/02/25,social media,49\ne352,2010/03/03,a book,10\ne358,2010/03/04,social media,25\ne362,2010/03/05,social media,30\ne367,2010/03/06,news,36\ne371,2010/03/07,social media,50\ne376,2010/03/08,social media,16\ne383,2010/03/10,a book,43\ne391,2010/03/11,social media,37\ne396,2010/03/12,social media,7\ne404,2010/03/14,news,6\ne423,2010/03/20,news,38\ne434,2010/03/22,social media,14\ne439,2010/03/23,news,37\ne445,2010/03/24,a book,43\ne449,2010/03/25,a book,9\ne454,2010/03/26,a book,33\ne470,2010/03/29,a book,49\ne475,2010/03/30,social media,38\ne479,2010/03/31,social media,30\ne485,2010/04/01,social media,48\ne488,2010/04/02,news,37\ne495,2010/04/04,a book,15\ne510,2010/04/08,news,51\ne517,2010/04/10,social media,45\ne530,2010/04/13,social media,22\ne535,2010/04/14,social media,19\ne544,2010/04/16,news,54\ne547,2010/04/17,a book,11\ne562,2010/04/20,news,43\ne570,2010/04/22,social 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  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/daily_watchtv-log.csv",
    "content": "eid,date,watchtype,howlong\ne129,2010/01/01,a documentary,7\ne159,2010/01/09,a documentary,27\ne162,2010/01/10,news,16\ne169,2010/01/12,a movie,11\ne174,2010/01/13,a movie,49\ne184,2010/01/17,news,47\ne205,2010/01/22,a tv series,17\ne215,2010/01/25,a documentary,43\ne216,2010/01/26,news,10\ne227,2010/01/29,news,21\ne231,2010/01/30,a documentary,11\ne235,2010/01/31,a tv series,37\ne246,2010/02/03,a movie,27\ne251,2010/02/04,a tv series,20\ne256,2010/02/05,news,23\ne265,2010/02/07,a tv series,17\ne274,2010/02/09,a movie,36\ne281,2010/02/11,news,13\ne286,2010/02/13,news,48\ne293,2010/02/15,news,30\ne299,2010/02/16,a documentary,51\ne315,2010/02/21,a tv series,6\ne320,2010/02/22,news,19\ne330,2010/02/25,a movie,7\ne333,2010/02/26,news,27\ne337,2010/02/27,a documentary,32\ne342,2010/02/28,a documentary,52\ne347,2010/03/01,a movie,39\ne349,2010/03/02,a documentary,16\ne353,2010/03/03,a movie,18\ne378,2010/03/09,a movie,50\ne384,2010/03/10,a tv series,42\ne392,2010/03/11,a documentary,50\ne397,2010/03/12,a movie,32\ne399,2010/03/13,a documentary,9\ne408,2010/03/15,a tv series,33\ne412,2010/03/17,a movie,7\ne419,2010/03/19,a movie,10\ne424,2010/03/20,a movie,50\ne440,2010/03/23,a tv series,52\ne446,2010/03/24,a tv series,12\ne455,2010/03/26,a movie,36\ne465,2010/03/28,a movie,12\ne476,2010/03/30,a documentary,51\ne480,2010/03/31,a documentary,47\ne490,2010/04/03,news,46\ne496,2010/04/04,a documentary,6\ne502,2010/04/06,a documentary,36\ne506,2010/04/07,news,32\ne511,2010/04/08,a documentary,20\ne518,2010/04/10,a documentary,41\ne522,2010/04/11,a tv series,29\ne527,2010/04/12,a documentary,51\ne531,2010/04/13,a documentary,47\ne536,2010/04/14,a documentary,30\ne548,2010/04/17,a documentary,13\ne555,2010/04/18,a tv series,10\ne563,2010/04/20,a tv series,40\ne571,2010/04/22,a documentary,14\ne574,2010/04/23,a documentary,55\ne580,2010/04/25,a movie,42\ne596,2010/04/29,news,30\ne599,2010/04/30,a documentary,33\ne602,2010/05/01,a movie,53\ne607,2010/05/03,a tv 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movie,38\ne19594,2022/12/29,a tv series,18\ne19599,2022/12/30,a movie,11\ne19603,2022/12/31,a documentary,43\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/marriages-log.csv",
    "content": "eid,married_date,partner_name,location\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/monthly_pet_care-log.csv",
    "content": "eid,date,pet_care_type\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/moves-log.csv",
    "content": "eid,date,type_of_move,destination\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/persona.json",
    "content": "{\"age_years\": 30, \"birth_year\": 1992, \"birth_month\": 5, \"birth_day\": 27, \"birth_city\": \"Asansol\", \"birth_country\": \"India\", \"num_sibling\": 2, \"sibling_names\": [\"Benjamin\", \"Willow\"], \"biological_mom_name\": \"Avery\", \"biological_dad_name\": \"Jackson\", \"gender\": \"male\", \"k_graduation\": 1998, \"e_graduation\": 2004, \"m_graduation\": 2007, \"h_graduation\": 2011, \"college\": 0, \"graduate_school\": 0, \"num_marriages\": 0, \"married\": [], \"divorced\": [], \"num_kids\": 4, \"kids\": [26, 28, 30], \"num_jobs\": 2, \"started_job\": [24, 30], \"quit_job\": [30], \"num_professions\": 2, \"professions\": [\"Startups\"], \"hobbies\": [\"yoga\", \"gardening\", \"learning a language\", \"meditation\", \"working out\"], \"exercise\": [\"gymnastics\", \"rugby\", \"hang gliding\", \"jogging\", \"sumo wrestling\"], \"trips_per_year\": 1, \"verboseness\": 5, \"kids_names\": [\"Kayden\", \"Emily\", \"Andrew\", \"Carter\"], \"partners_names\": [], \"num_close_friends\": 13, \"close_friends_names\": [\"Piper\", \"Layla\", \"Eva\", \"Piper\", \"Claire\", \"Rylee\", \"Kinsley\", \"Avery\", \"Olivia\", \"Hazel\", \"Lydia\", \"Nora\", \"Nevaeh\"], \"num_pets\": 0, \"pet_year\": [], \"pet_names\": [], \"body_metric\": true, \"personality\": \"introverted\"}"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/timeline-medium.csv",
    "content": "id,date,desc,details\n0,1992/05/27,My parents are Avery and Jackson.,My parents are Avery and Jackson.\n1,2010/01/01,I did hiking on 2010/01/01.,I did hiking on 2010/01/01.\n2,2010/01/01,I prepare sushi for dinner.,I prepare sushi for dinner.\n3,2010/01/01,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n4,2010/01/02,I went on a date with Leah on 2010/01/02 at a boba shop,I went on a date with Leah on 2010/01/02 at a boba shop\n5,2010/01/02,\"I had chinese food for lunch with Hazel, Layla, Rylee, Piper, Olivia, Piper, Claire, Eva, Nevaeh\",\"I had chinese food for lunch with Hazel, Layla, Rylee, Piper, Olivia, Piper, Claire, Eva, Nevaeh\"\n6,2010/01/02,I ate pasta for dinner.,I ate pasta for dinner.\n7,2010/01/02,I spent 41 talking to Nora on various topics in the morning.,I spent 41 talking to Nora on various topics in the morning.\n8,2010/01/03,I did HIIT on 2010/01/03.,I did HIIT on 2010/01/03.\n9,2010/01/03,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n10,2010/01/03,\"I talked to Piper, Lydia for 30 minutes late in the evening.\",\"I talked to Piper, Lydia for 30 minutes late in the evening.\"\n11,2010/01/03,\"I talked to Nora, Nevaeh, Piper, Olivia for 5 minutes in the late afternoon.\",\"I talked to Nora, Nevaeh, Piper, Olivia for 5 minutes in the late afternoon.\"\n12,2010/01/03,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n13,2010/01/04,I did swimming on 2010/01/04.,I did swimming on 2010/01/04.\n14,2010/01/04,\"I had eggs, sausages, and bread for breakfast with Piper, Avery, Claire, Piper, Nora, Rylee, Eva, Nevaeh, Lydia, Kinsley\",\"I had eggs, sausages, and bread for breakfast with Piper, Avery, Claire, Piper, Nora, Rylee, Eva, Nevaeh, Lydia, Kinsley\"\n15,2010/01/04,I prepare tacos for lunch.,I prepare tacos for lunch.\n16,2010/01/04,I ate tacos for dinner.,I ate tacos for dinner.\n17,2010/01/04,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n18,2010/01/05,I went on a date with Elena on 2010/01/05 at a restaurant,I went on a date with Elena on 2010/01/05 at a restaurant\n19,2010/01/05,I really enjoyed meditation on 2010/01/05,I really enjoyed meditation on 2010/01/05\n20,2010/01/05,I had breakfast with Kinsley. I ate toast and cheese.,I had breakfast with Kinsley. I ate toast and cheese.\n21,2010/01/05,I had dinner. I ate steak.,I had dinner. I ate steak.\n22,2010/01/05,\"I spent 22 talking to Rylee, Lydia on various topics in the early afternoon.\",\"I spent 22 talking to Rylee, Lydia on various topics in the early afternoon.\"\n23,2010/01/05,\"I spent 29 talking to Nora, Nevaeh on various topics in the early afternoon.\",\"I spent 29 talking to Nora, Nevaeh on various topics in the early afternoon.\"\n24,2010/01/06,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n25,2010/01/06,\"I spent 49 talking to Claire, Rylee, Nevaeh, Kinsley on various topics late in the evening.\",\"I spent 49 talking to Claire, Rylee, Nevaeh, Kinsley on various topics late in the evening.\"\n26,2010/01/07,\"I had a burger for dinner with Piper, Claire, Hazel, Nevaeh, Olivia, Lydia, Eva, Kinsley, Rylee, Avery, Nora, Layla, Piper\",\"I had a burger for dinner with Piper, Claire, Hazel, Nevaeh, Olivia, Lydia, Eva, Kinsley, Rylee, Avery, Nora, Layla, Piper\"\n27,2010/01/07,\"I spent 48 talking to Layla, Piper, Eva on various topics during lunch hours.\",\"I spent 48 talking to Layla, Piper, Eva on various topics during lunch hours.\"\n28,2010/01/08,I prepare indian food for lunch.,I prepare indian food for lunch.\n29,2010/01/08,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n30,2010/01/08,\"I talked to Avery, Rylee for 33 minutes late in the evening.\",\"I talked to Avery, Rylee for 33 minutes late in the evening.\"\n31,2010/01/08,I talked to Nora for 26 minutes during lunch hours.,I talked to Nora for 26 minutes during lunch hours.\n32,2010/01/08,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n33,2010/01/09,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n34,2010/01/09,\"I spent 13 talking to Nevaeh, Eva on various topics in the morning.\",\"I spent 13 talking to Nevaeh, Eva on various topics in the morning.\"\n35,2010/01/09,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n36,2010/01/09,I spent 27 minutes watching a documentary on TV today.,I spent 27 minutes watching a documentary on TV today.\n37,2010/01/10,\"On 2010/01/10, I took Charlotte on a date to a park\",\"On 2010/01/10, I took Charlotte on a date to a park\"\n38,2010/01/10,I did HIIT on 2010/01/10.,I did HIIT on 2010/01/10.\n39,2010/01/10,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n40,2010/01/10,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n41,2010/01/11,I did swimming on 2010/01/11.,I did swimming on 2010/01/11.\n42,2010/01/11,\"I had breakfast with Lydia, Avery, Rylee. I ate eggs, sausages, and bread.\",\"I had breakfast with Lydia, Avery, Rylee. I ate eggs, sausages, and bread.\"\n43,2010/01/11,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n44,2010/01/12,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n45,2010/01/12,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n46,2010/01/12,\"I talked to Layla, Claire for 35 minutes in the early afternoon.\",\"I talked to Layla, Claire for 35 minutes in the early afternoon.\"\n47,2010/01/12,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n48,2010/01/13,\"I had breakfast with Willow, Benjamin, Jackson, Avery. I ate pancakes.\",\"I had breakfast with Willow, Benjamin, Jackson, Avery. I ate pancakes.\"\n49,2010/01/13,I had sushi for lunch with Andrew,I had sushi for lunch with Andrew\n50,2010/01/13,\"I spent 42 talking to Piper, Piper, Rylee on various topics in the early evening.\",\"I spent 42 talking to Piper, Piper, Rylee on various topics in the early evening.\"\n51,2010/01/13,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n52,2010/01/13,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n53,2010/01/14,I spent some time yoga on 2010/01/14.,I spent some time yoga on 2010/01/14.\n54,2010/01/14,\"I bought some watermelons, apples, tea, sports drinks, pineapple juice, paper towel, body lotion, shaving cream, conditioner online.\",\"I bought some watermelons, apples, tea, sports drinks, pineapple juice, paper towel, body lotion, shaving cream, conditioner online.\"\n55,2010/01/14,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n56,2010/01/14,I ate sandwich for dinner.,I ate sandwich for dinner.\n57,2010/01/14,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n58,2010/01/15,I did swimming on 2010/01/15.,I did swimming on 2010/01/15.\n59,2010/01/15,\"I talked to Piper, Kinsley, Hazel for 8 minutes during lunch hours.\",\"I talked to Piper, Kinsley, Hazel for 8 minutes during lunch hours.\"\n60,2010/01/16,\"I bought some blackberries, clementines, guava, nectarines, tea, toothbrush from the grocery store. I saw Avery at the grocery store.\",\"I bought some blackberries, clementines, guava, nectarines, tea, toothbrush from the grocery store. I saw Avery at the grocery store.\"\n61,2010/01/16,\"I talked to Eva, Claire, Lydia for 36 minutes in the early afternoon.\",\"I talked to Eva, Claire, Lydia for 36 minutes in the early afternoon.\"\n62,2010/01/17,I did hiking on 2010/01/17.,I did hiking on 2010/01/17.\n63,2010/01/17,\"I spent 44 talking to Rylee, Olivia on various topics in the early evening.\",\"I spent 44 talking to Rylee, Olivia on various topics in the early evening.\"\n64,2010/01/17,\"I spent 17 talking to Piper, Olivia on various topics in the early evening.\",\"I spent 17 talking to Piper, Olivia on various topics in the early evening.\"\n65,2010/01/17,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n66,2010/01/18,I took my parents for their for an annual dental cleaning and checkup on 2010/01/18 at the university hospital.,I took my parents for their for an annual dental cleaning and checkup on 2010/01/18 at the university hospital.\n67,2010/01/18,I ate steak for dinner.,I ate steak for dinner.\n68,2010/01/18,\"I talked to Claire, Nevaeh, Nora for 39 minutes during lunch hours.\",\"I talked to Claire, Nevaeh, Nora for 39 minutes during lunch hours.\"\n69,2010/01/18,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n70,2010/01/19,I did swimming on 2010/01/19.,I did swimming on 2010/01/19.\n71,2010/01/19,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n72,2010/01/19,\"I spent 26 talking to Layla, Piper, Claire, Olivia on various topics in the morning.\",\"I spent 26 talking to Layla, Piper, Claire, Olivia on various topics in the morning.\"\n73,2010/01/19,\"I spent 20 talking to Lydia, Layla on various topics in the late afternoon.\",\"I spent 20 talking to Lydia, Layla on various topics in the late afternoon.\"\n74,2010/01/19,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n75,2010/01/20,\"I had breakfast with Nora, Lydia, Piper, Layla, Rylee, Avery, Kinsley, Eva, Claire, Hazel, Piper, Olivia. I ate peanut-butter-jam.\",\"I had breakfast with Nora, Lydia, Piper, Layla, Rylee, Avery, Kinsley, Eva, Claire, Hazel, Piper, Olivia. I ate peanut-butter-jam.\"\n76,2010/01/20,\"I had lunch with Andrew, Emily, Kayden. I ate a burger.\",\"I had lunch with Andrew, Emily, Kayden. I ate a burger.\"\n77,2010/01/20,\"I had sushi for dinner with Benjamin, Willow, Avery, Jackson\",\"I had sushi for dinner with Benjamin, Willow, Avery, Jackson\"\n78,2010/01/20,I spent 44 talking to Piper on various topics in the early afternoon.,I spent 44 talking to Piper on various topics in the early afternoon.\n79,2010/01/21,I did swimming on 2010/01/21.,I did swimming on 2010/01/21.\n80,2010/01/21,I ate tacos for lunch.,I ate tacos for lunch.\n81,2010/01/21,\"I had dinner with Emily, Carter. I ate indian food.\",\"I had dinner with Emily, Carter. I ate indian food.\"\n82,2010/01/21,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n83,2010/01/22,\"I bought some peaches, strawberries, oranges, orange juice, guava juice, mouthwash online.\",\"I bought some peaches, strawberries, oranges, orange juice, guava juice, mouthwash online.\"\n84,2010/01/22,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n85,2010/01/22,I ate pasta for lunch.,I ate pasta for lunch.\n86,2010/01/22,\"I talked to Nevaeh, Nora, Piper, Hazel for 17 minutes in the early afternoon.\",\"I talked to Nevaeh, Nora, Piper, Hazel for 17 minutes in the early afternoon.\"\n87,2010/01/22,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n88,2010/01/22,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n89,2010/01/23,I did HIIT on 2010/01/23.,I did HIIT on 2010/01/23.\n90,2010/01/23,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n91,2010/01/23,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n92,2010/01/24,\"I had breakfast with Emily, Andrew, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew, Kayden. I ate peanut-butter-jam.\"\n93,2010/01/24,I ate sandwich for lunch.,I ate sandwich for lunch.\n94,2010/01/24,\"I talked to Rylee, Nora, Claire for 29 minutes in the early afternoon.\",\"I talked to Rylee, Nora, Claire for 29 minutes in the early afternoon.\"\n95,2010/01/25,I did running on 2010/01/25.,I did running on 2010/01/25.\n96,2010/01/25,\"I had lunch with Benjamin, Willow, Jackson. I ate a burger.\",\"I had lunch with Benjamin, Willow, Jackson. I ate a burger.\"\n97,2010/01/25,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n98,2010/01/25,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n99,2010/01/26,I really enjoyed gardening on 2010/01/26,I really enjoyed gardening on 2010/01/26\n100,2010/01/26,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n101,2010/01/27,I did running on 2010/01/27.,I did running on 2010/01/27.\n102,2010/01/27,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n103,2010/01/28,\"On 2010/01/28, I took Victoria on a date to a restaurant\",\"On 2010/01/28, I took Victoria on a date to a restaurant\"\n104,2010/01/28,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n105,2010/01/28,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n106,2010/01/28,I talked to Lydia for 54 minutes in the late afternoon.,I talked to Lydia for 54 minutes in the late afternoon.\n107,2010/01/28,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n108,2010/01/29,I did swimming on 2010/01/29.,I did swimming on 2010/01/29.\n109,2010/01/29,I ate indian food for dinner.,I ate indian food for dinner.\n110,2010/01/29,\"I talked to Piper, Nora for 39 minutes in the early evening.\",\"I talked to Piper, Nora for 39 minutes in the early evening.\"\n111,2010/01/29,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n112,2010/01/29,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n113,2010/01/30,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n114,2010/01/30,I ate a burger for lunch.,I ate a burger for lunch.\n115,2010/01/30,\"I spent 7 talking to Rylee, Olivia, Claire, Avery on various topics during lunch hours.\",\"I spent 7 talking to Rylee, Olivia, Claire, Avery on various topics during lunch hours.\"\n116,2010/01/30,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n117,2010/01/31,\"I bought some bananas, pineapples, guava, guava juice, soda, toothpaste, mouthwash, paper towel online.\",\"I bought some bananas, pineapples, guava, guava juice, soda, toothpaste, mouthwash, paper towel online.\"\n118,2010/01/31,I had lunch. I ate steak.,I had lunch. I ate steak.\n119,2010/01/31,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n120,2010/01/31,\"I talked to Nevaeh, Piper, Olivia, Kinsley for 12 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Olivia, Kinsley for 12 minutes in the late afternoon.\"\n121,2010/01/31,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n122,2010/02/01,\"I had chinese food for dinner with Kayden, Emily\",\"I had chinese food for dinner with Kayden, Emily\"\n123,2010/02/01,\"I talked to Piper, Nora, Nevaeh for 42 minutes in the early afternoon.\",\"I talked to Piper, Nora, Nevaeh for 42 minutes in the early afternoon.\"\n124,2010/02/01,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n125,2010/02/02,I did running on 2010/02/02.,I did running on 2010/02/02.\n126,2010/02/02,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n127,2010/02/02,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n128,2010/02/03,\"I had breakfast with Avery, Benjamin. I ate toast and cheese.\",\"I had breakfast with Avery, Benjamin. I ate toast and cheese.\"\n129,2010/02/03,I had lunch. I ate steak.,I had lunch. I ate steak.\n130,2010/02/03,\"I talked to Lydia, Eva for 25 minutes during lunch hours.\",\"I talked to Lydia, Eva for 25 minutes during lunch hours.\"\n131,2010/02/03,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n132,2010/02/03,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n133,2010/02/04,I spent some time working out on 2010/02/04.,I spent some time working out on 2010/02/04.\n134,2010/02/04,\"I had lunch with Jackson, Benjamin, Willow. I ate a burger.\",\"I had lunch with Jackson, Benjamin, Willow. I ate a burger.\"\n135,2010/02/04,I ate chinese food for dinner.,I ate chinese food for dinner.\n136,2010/02/04,\"I talked to Nevaeh, Rylee, Claire, Piper for 22 minutes in the early afternoon.\",\"I talked to Nevaeh, Rylee, Claire, Piper for 22 minutes in the early afternoon.\"\n137,2010/02/04,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n138,2010/02/04,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n139,2010/02/05,\"On 2010/02/05, I took Daniel on a date to a coffee Shop\",\"On 2010/02/05, I took Daniel on a date to a coffee Shop\"\n140,2010/02/05,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n141,2010/02/05,I had fish and chips for lunch with Avery,I had fish and chips for lunch with Avery\n142,2010/02/05,I spent 38 talking to Olivia on various topics in the early evening.,I spent 38 talking to Olivia on various topics in the early evening.\n143,2010/02/05,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n144,2010/02/05,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n145,2010/02/06,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n146,2010/02/06,I ate tacos for lunch.,I ate tacos for lunch.\n147,2010/02/06,\"I had dinner with Hazel, Claire, Piper, Rylee, Piper, Lydia, Nevaeh. I ate a burger.\",\"I had dinner with Hazel, Claire, Piper, Rylee, Piper, Lydia, Nevaeh. I ate a burger.\"\n148,2010/02/06,\"I talked to Eva, Avery for 23 minutes during lunch hours.\",\"I talked to Eva, Avery for 23 minutes during lunch hours.\"\n149,2010/02/06,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n150,2010/02/07,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n151,2010/02/07,I prepare pasta for lunch.,I prepare pasta for lunch.\n152,2010/02/07,\"I talked to Avery, Olivia, Hazel, Kinsley for 35 minutes in the early evening.\",\"I talked to Avery, Olivia, Hazel, Kinsley for 35 minutes in the early evening.\"\n153,2010/02/07,I spent 17 minutes watching a tv series on TV today.,I spent 17 minutes watching a tv series on TV today.\n154,2010/02/08,I did HIIT on 2010/02/08.,I did HIIT on 2010/02/08.\n155,2010/02/08,I prepare a burger for lunch.,I prepare a burger for lunch.\n156,2010/02/08,\"I spent 17 talking to Lydia, Nevaeh, Piper, Kinsley on various topics during lunch hours.\",\"I spent 17 talking to Lydia, Nevaeh, Piper, Kinsley on various topics during lunch hours.\"\n157,2010/02/08,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n158,2010/02/09,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n159,2010/02/09,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n160,2010/02/09,\"I spent 52 talking to Nevaeh, Eva, Nora, Piper on various topics in the early afternoon.\",\"I spent 52 talking to Nevaeh, Eva, Nora, Piper on various topics in the early afternoon.\"\n161,2010/02/09,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n162,2010/02/09,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n163,2010/02/10,I ate tacos for dinner.,I ate tacos for dinner.\n164,2010/02/10,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n165,2010/02/11,I did running on 2010/02/11.,I did running on 2010/02/11.\n166,2010/02/11,\"I had breakfast with Jackson, Avery. I ate cereals.\",\"I had breakfast with Jackson, Avery. I ate cereals.\"\n167,2010/02/11,I prepare a burger for dinner.,I prepare a burger for dinner.\n168,2010/02/11,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n169,2010/02/11,I watched news for 13 minutes on TV today.,I watched news for 13 minutes on TV today.\n170,2010/02/12,\"On 2010/02/12 Carter, Kayden and I went to Philadelphia, US together for 6 days \",\"On 2010/02/12 Carter, Kayden and I went to Philadelphia, US together for 6 days \"\n171,2010/02/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n172,2010/02/12,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n173,2010/02/13,\"During my trip to Philadelphia, US, I visited Liberty Bell on 2010/02 with Carter, Kayden.\",\"During my trip to Philadelphia, US, I visited Liberty Bell on 2010/02 with Carter, Kayden.\"\n174,2010/02/13,\"I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/13 when I was in Philadelphia, US.\",\"I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/13 when I was in Philadelphia, US.\"\n175,2010/02/13,\"I had dinner with Andrew, Carter, Emily. I ate indian food.\",\"I had dinner with Andrew, Carter, Emily. I ate indian food.\"\n176,2010/02/13,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n177,2010/02/13,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n178,2010/02/14,\"During my trip to Philadelphia, US, I visited Philadelphia Museum of Art on 2010/02 with Carter, Kayden.\",\"During my trip to Philadelphia, US, I visited Philadelphia Museum of Art on 2010/02 with Carter, Kayden.\"\n179,2010/02/14,\"I had toast and cheese for breakfast with Andrew, Emily, Kayden\",\"I had toast and cheese for breakfast with Andrew, Emily, Kayden\"\n180,2010/02/14,\"I had lunch with Kayden, Carter. I ate chinese food.\",\"I had lunch with Kayden, Carter. I ate chinese food.\"\n181,2010/02/15,\"During my trip to Philadelphia, US, I visited Ipanema on 2010/02 with Carter, Kayden.\",\"During my trip to Philadelphia, US, I visited Ipanema on 2010/02 with Carter, Kayden.\"\n182,2010/02/15,\"I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/15 when I was in Philadelphia, US.\",\"I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/15 when I was in Philadelphia, US.\"\n183,2010/02/15,\"I had breakfast with Emily, Carter, Andrew. I ate pancakes.\",\"I had breakfast with Emily, Carter, Andrew. I ate pancakes.\"\n184,2010/02/15,\"I had steak for dinner with Nevaeh, Hazel, Kinsley, Lydia, Eva, Layla, Avery, Piper, Rylee, Olivia\",\"I had steak for dinner with Nevaeh, Hazel, Kinsley, Lydia, Eva, Layla, Avery, Piper, Rylee, Olivia\"\n185,2010/02/15,I talked to Claire for 48 minutes late in the evening.,I talked to Claire for 48 minutes late in the evening.\n186,2010/02/15,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n187,2010/02/15,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n188,2010/02/16,\"During my trip to Philadelphia, US, I visited Carnaval on 2010/02 with Carter, Kayden.\",\"During my trip to Philadelphia, US, I visited Carnaval on 2010/02 with Carter, Kayden.\"\n189,2010/02/16,\"I ate street food at Lunch Street with Carter, Kayden on  2010/02/16 when I was in Philadelphia, US.\",\"I ate street food at Lunch Street with Carter, Kayden on  2010/02/16 when I was in Philadelphia, US.\"\n190,2010/02/16,I went on a date with Aurora on 2010/02/16 at a restaurant,I went on a date with Aurora on 2010/02/16 at a restaurant\n191,2010/02/16,\"I had toast and cheese for breakfast with Kayden, Andrew, Emily\",\"I had toast and cheese for breakfast with Kayden, Andrew, Emily\"\n192,2010/02/16,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n193,2010/02/16,I had sandwich for dinner with Jackson,I had sandwich for dinner with Jackson\n194,2010/02/16,I spent 35 talking to Rylee on various topics in the early evening.,I spent 35 talking to Rylee on various topics in the early evening.\n195,2010/02/16,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n196,2010/02/16,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n197,2010/02/17,\"During my trip to Philadelphia, US, I visited Independence Hall on 2010/02 with Carter, Kayden.\",\"During my trip to Philadelphia, US, I visited Independence Hall on 2010/02 with Carter, Kayden.\"\n198,2010/02/17,\"I ate Japanese food at High Street Philly with Carter, Kayden on  2010/02/17 when I was in Philadelphia, US.\",\"I ate Japanese food at High Street Philly with Carter, Kayden on  2010/02/17 when I was in Philadelphia, US.\"\n199,2010/02/17,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n200,2010/02/17,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n201,2010/02/18,\"I ate Japanese food at Wood Street Pizza with Carter, Kayden on  2010/02/18 when I was in Philadelphia, US.\",\"I ate Japanese food at Wood Street Pizza with Carter, Kayden on  2010/02/18 when I was in Philadelphia, US.\"\n202,2010/02/18,I prepare steak for lunch.,I prepare steak for lunch.\n203,2010/02/18,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n204,2010/02/18,\"I talked to Piper, Hazel for 11 minutes in the early afternoon.\",\"I talked to Piper, Hazel for 11 minutes in the early afternoon.\"\n205,2010/02/18,\"I spent 28 talking to Piper, Nora, Layla, Avery on various topics in the late afternoon.\",\"I spent 28 talking to Piper, Nora, Layla, Avery on various topics in the late afternoon.\"\n206,2010/02/18,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n207,2010/02/19,\"On 2010/02/19, I took Theodore on a date to a boba shop\",\"On 2010/02/19, I took Theodore on a date to a boba shop\"\n208,2010/02/19,I did hiking on 2010/02/19.,I did hiking on 2010/02/19.\n209,2010/02/19,\"I had toast and cheese for breakfast with Emily, Kayden, Carter, Andrew\",\"I had toast and cheese for breakfast with Emily, Kayden, Carter, Andrew\"\n210,2010/02/19,\"I spent 37 talking to Nora, Kinsley on various topics in the morning.\",\"I spent 37 talking to Nora, Kinsley on various topics in the morning.\"\n211,2010/02/20,I did biking on 2010/02/20.,I did biking on 2010/02/20.\n212,2010/02/20,\"I talked to Nevaeh, Rylee, Piper, Claire for 53 minutes in the late afternoon.\",\"I talked to Nevaeh, Rylee, Piper, Claire for 53 minutes in the late afternoon.\"\n213,2010/02/20,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n214,2010/02/21,\"I had cereals for breakfast with Carter, Emily\",\"I had cereals for breakfast with Carter, Emily\"\n215,2010/02/21,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n216,2010/02/21,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n217,2010/02/22,I did hiking on 2010/02/22.,I did hiking on 2010/02/22.\n218,2010/02/22,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n219,2010/02/22,\"I talked to Eva, Lydia for 9 minutes in the early afternoon.\",\"I talked to Eva, Lydia for 9 minutes in the early afternoon.\"\n220,2010/02/22,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n221,2010/02/22,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n222,2010/02/23,\"I bought some apples, bananas, blackberries, pears, apple juice, coffee, toothbrush, body lotion, paper towel, shampoo online.\",\"I bought some apples, bananas, blackberries, pears, apple juice, coffee, toothbrush, body lotion, paper towel, shampoo online.\"\n223,2010/02/23,I spent 8 talking to Nevaeh on various topics in the late afternoon.,I spent 8 talking to Nevaeh on various topics in the late afternoon.\n224,2010/02/24,\"On 2010/02/24, I took Elias on a date to a park\",\"On 2010/02/24, I took Elias on a date to a park\"\n225,2010/02/24,I did HIIT on 2010/02/24.,I did HIIT on 2010/02/24.\n226,2010/02/24,I ate pasta for lunch.,I ate pasta for lunch.\n227,2010/02/24,\"I had steak for dinner with Kayden, Emily, Andrew\",\"I had steak for dinner with Kayden, Emily, Andrew\"\n228,2010/02/24,\"I talked to Avery, Eva for 52 minutes in the early evening.\",\"I talked to Avery, Eva for 52 minutes in the early evening.\"\n229,2010/02/24,\"I talked to Piper, Hazel, Claire for 17 minutes during lunch hours.\",\"I talked to Piper, Hazel, Claire for 17 minutes during lunch hours.\"\n230,2010/02/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n231,2010/02/25,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n232,2010/02/25,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n233,2010/02/25,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n234,2010/02/26,\"I went grocery shopping with Andrew, Carter, Emily. I bought some pineapples, cherres, sports drinks, and conditioner, body lotion, paper towel, toothbrush\",\"I went grocery shopping with Andrew, Carter, Emily. I bought some pineapples, cherres, sports drinks, and conditioner, body lotion, paper towel, toothbrush\"\n235,2010/02/26,I had breakfast with Emily. I ate oatmeal.,I had breakfast with Emily. I ate oatmeal.\n236,2010/02/26,I ate pasta for dinner.,I ate pasta for dinner.\n237,2010/02/26,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n238,2010/02/27,I did hiking on 2010/02/27.,I did hiking on 2010/02/27.\n239,2010/02/27,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n240,2010/02/27,\"I had dinner with Olivia, Nevaeh. I ate steak.\",\"I had dinner with Olivia, Nevaeh. I ate steak.\"\n241,2010/02/27,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n242,2010/02/28,I did weight lifting on 2010/02/28.,I did weight lifting on 2010/02/28.\n243,2010/02/28,I ate cereals for breakfast.,I ate cereals for breakfast.\n244,2010/02/28,\"I had sushi for lunch with Avery, Willow, Benjamin\",\"I had sushi for lunch with Avery, Willow, Benjamin\"\n245,2010/02/28,I talked to Lydia for 47 minutes in the morning.,I talked to Lydia for 47 minutes in the morning.\n246,2010/02/28,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n247,2010/03/01,\"On 2010/03/01, I took Carson on a date to a park\",\"On 2010/03/01, I took Carson on a date to a park\"\n248,2010/03/01,I did HIIT on 2010/03/01.,I did HIIT on 2010/03/01.\n249,2010/03/01,I ate tacos for lunch.,I ate tacos for lunch.\n250,2010/03/01,\"I spent 31 talking to Nora, Layla, Avery, Kinsley on various topics in the early afternoon.\",\"I spent 31 talking to Nora, Layla, Avery, Kinsley on various topics in the early afternoon.\"\n251,2010/03/01,\"I talked to Layla, Avery, Piper, Claire for 33 minutes in the late afternoon.\",\"I talked to Layla, Avery, Piper, Claire for 33 minutes in the late afternoon.\"\n252,2010/03/01,I spent 39 minutes watching a movie on TV today.,I spent 39 minutes watching a movie on TV today.\n253,2010/03/02,\"I had lunch with Benjamin, Avery. I ate sandwich.\",\"I had lunch with Benjamin, Avery. I ate sandwich.\"\n254,2010/03/02,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n255,2010/03/03,I did biking on 2010/03/03.,I did biking on 2010/03/03.\n256,2010/03/03,\"I had lunch with Emily, Carter. I ate sushi.\",\"I had lunch with Emily, Carter. I ate sushi.\"\n257,2010/03/03,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n258,2010/03/03,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n259,2010/03/04,I spent time learning a language on 2010/03/04 with Avery.,I spent time learning a language on 2010/03/04 with Avery.\n260,2010/03/04,I did hiking on 2010/03/04.,I did hiking on 2010/03/04.\n261,2010/03/04,\"I had peanut-butter-jam for breakfast with Kayden, Carter, Andrew\",\"I had peanut-butter-jam for breakfast with Kayden, Carter, Andrew\"\n262,2010/03/04,\"I had indian food for lunch with Kayden, Andrew, Emily, Carter\",\"I had indian food for lunch with Kayden, Andrew, Emily, Carter\"\n263,2010/03/04,I talked to Eva for 43 minutes late in the evening.,I talked to Eva for 43 minutes late in the evening.\n264,2010/03/04,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n265,2010/03/05,I spent some time learning a language on 2010/03/05.,I spent some time learning a language on 2010/03/05.\n266,2010/03/05,I did hiking on 2010/03/05.,I did hiking on 2010/03/05.\n267,2010/03/05,\"I had breakfast with Nevaeh, Layla, Piper, Kinsley, Olivia, Eva, Avery, Lydia, Claire. I ate peanut-butter-jam.\",\"I had breakfast with Nevaeh, Layla, Piper, Kinsley, Olivia, Eva, Avery, Lydia, Claire. I ate peanut-butter-jam.\"\n268,2010/03/05,\"I spent 44 talking to Piper, Nevaeh, Kinsley, Avery on various topics in the late afternoon.\",\"I spent 44 talking to Piper, Nevaeh, Kinsley, Avery on various topics in the late afternoon.\"\n269,2010/03/05,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n270,2010/03/06,I had pancakes for breakfast with Benjamin,I had pancakes for breakfast with Benjamin\n271,2010/03/06,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n272,2010/03/06,\"I had indian food for dinner with Piper, Lydia, Rylee, Layla, Olivia, Avery\",\"I had indian food for dinner with Piper, Lydia, Rylee, Layla, Olivia, Avery\"\n273,2010/03/06,I talked to Hazel for 6 minutes in the early evening.,I talked to Hazel for 6 minutes in the early evening.\n274,2010/03/06,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n275,2010/03/07,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n276,2010/03/07,\"I had a burger for dinner with Avery, Rylee, Nevaeh, Piper, Nora, Hazel\",\"I had a burger for dinner with Avery, Rylee, Nevaeh, Piper, Nora, Hazel\"\n277,2010/03/07,\"I spent 55 talking to Nevaeh, Claire on various topics late in the evening.\",\"I spent 55 talking to Nevaeh, Claire on various topics late in the evening.\"\n278,2010/03/07,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n279,2010/03/08,I did HIIT on 2010/03/08.,I did HIIT on 2010/03/08.\n280,2010/03/08,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n281,2010/03/08,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n282,2010/03/08,\"I spent 22 talking to Piper, Olivia, Nevaeh, Claire on various topics late in the evening.\",\"I spent 22 talking to Piper, Olivia, Nevaeh, Claire on various topics late in the evening.\"\n283,2010/03/08,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n284,2010/03/09,\"I spent 47 talking to Nevaeh, Lydia on various topics during lunch hours.\",\"I spent 47 talking to Nevaeh, Lydia on various topics during lunch hours.\"\n285,2010/03/09,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n286,2010/03/10,\"I bought some oranges, apples, blueberries, tea, mineral water, paper towel, toothpaste, facial wash, mouth wash online.\",\"I bought some oranges, apples, blueberries, tea, mineral water, paper towel, toothpaste, facial wash, mouth wash online.\"\n287,2010/03/10,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n288,2010/03/10,I prepare tacos for dinner.,I prepare tacos for dinner.\n289,2010/03/10,\"I talked to Claire, Layla, Piper, Hazel for 40 minutes in the late afternoon.\",\"I talked to Claire, Layla, Piper, Hazel for 40 minutes in the late afternoon.\"\n290,2010/03/10,\"I spent 18 talking to Nevaeh, Claire, Olivia on various topics in the late afternoon.\",\"I spent 18 talking to Nevaeh, Claire, Olivia on various topics in the late afternoon.\"\n291,2010/03/10,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n292,2010/03/10,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n293,2010/03/11,I really enjoyed gardening on 2010/03/11,I really enjoyed gardening on 2010/03/11\n294,2010/03/11,I did running on 2010/03/11.,I did running on 2010/03/11.\n295,2010/03/11,\"I had toast and cheese for breakfast with Kayden, Emily, Carter, Andrew\",\"I had toast and cheese for breakfast with Kayden, Emily, Carter, Andrew\"\n296,2010/03/11,I ate chinese food for lunch.,I ate chinese food for lunch.\n297,2010/03/11,\"I had fish and chips for dinner with Kayden, Emily\",\"I had fish and chips for dinner with Kayden, Emily\"\n298,2010/03/11,\"I talked to Olivia, Kinsley for 13 minutes in the late afternoon.\",\"I talked to Olivia, Kinsley for 13 minutes in the late afternoon.\"\n299,2010/03/11,\"I spent 44 talking to Kinsley, Piper, Avery on various topics in the morning.\",\"I spent 44 talking to Kinsley, Piper, Avery on various topics in the morning.\"\n300,2010/03/11,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n301,2010/03/11,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n302,2010/03/12,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n303,2010/03/12,\"I had a burger for dinner with Lydia, Olivia, Rylee, Piper, Avery, Claire, Nora\",\"I had a burger for dinner with Lydia, Olivia, Rylee, Piper, Avery, Claire, Nora\"\n304,2010/03/12,\"I spent 50 talking to Hazel, Avery, Kinsley on various topics during lunch hours.\",\"I spent 50 talking to Hazel, Avery, Kinsley on various topics during lunch hours.\"\n305,2010/03/12,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n306,2010/03/12,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n307,2010/03/13,I spent 49 talking to Avery on various topics in the early evening.,I spent 49 talking to Avery on various topics in the early evening.\n308,2010/03/13,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n309,2010/03/14,I spent some time learning a language on 2010/03/14.,I spent some time learning a language on 2010/03/14.\n310,2010/03/14,I did hiking on 2010/03/14.,I did hiking on 2010/03/14.\n311,2010/03/14,\"I had lunch with Carter, Andrew, Emily, Kayden. I ate indian food.\",\"I had lunch with Carter, Andrew, Emily, Kayden. I ate indian food.\"\n312,2010/03/14,I spent 29 talking to Claire on various topics in the early afternoon.,I spent 29 talking to Claire on various topics in the early afternoon.\n313,2010/03/14,I talked to Eva for 54 minutes in the early afternoon.,I talked to Eva for 54 minutes in the early afternoon.\n314,2010/03/14,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n315,2010/03/15,\"On 2010/03/15, I took Lydia on a date to a boba shop\",\"On 2010/03/15, I took Lydia on a date to a boba shop\"\n316,2010/03/15,\"I went grocery shopping. I bought some nectarines, sports drinks, and body lotion, mouth wash, mouthwash, toilet paper\",\"I went grocery shopping. I bought some nectarines, sports drinks, and body lotion, mouth wash, mouthwash, toilet paper\"\n317,2010/03/15,I did running on 2010/03/15.,I did running on 2010/03/15.\n318,2010/03/15,\"I had breakfast with Carter, Andrew. I ate oatmeal.\",\"I had breakfast with Carter, Andrew. I ate oatmeal.\"\n319,2010/03/15,\"I talked to Eva, Hazel, Lydia for 20 minutes late in the evening.\",\"I talked to Eva, Hazel, Lydia for 20 minutes late in the evening.\"\n320,2010/03/15,I spent 33 minutes watching a tv series on TV today.,I spent 33 minutes watching a tv series on TV today.\n321,2010/03/17,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n322,2010/03/17,\"I talked to Piper, Kinsley, Layla, Eva for 15 minutes during lunch hours.\",\"I talked to Piper, Kinsley, Layla, Eva for 15 minutes during lunch hours.\"\n323,2010/03/17,\"I spent 12 talking to Avery, Rylee, Lydia, Kinsley on various topics during lunch hours.\",\"I spent 12 talking to Avery, Rylee, Lydia, Kinsley on various topics during lunch hours.\"\n324,2010/03/17,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n325,2010/03/18,I did HIIT on 2010/03/18.,I did HIIT on 2010/03/18.\n326,2010/03/18,\"I had lunch with Emily, Andrew, Kayden, Carter. I ate steak.\",\"I had lunch with Emily, Andrew, Kayden, Carter. I ate steak.\"\n327,2010/03/19,I did running on 2010/03/19.,I did running on 2010/03/19.\n328,2010/03/19,\"I had steak for dinner with Eva, Hazel, Kinsley, Nora, Layla, Piper, Piper, Claire, Olivia, Nevaeh\",\"I had steak for dinner with Eva, Hazel, Kinsley, Nora, Layla, Piper, Piper, Claire, Olivia, Nevaeh\"\n329,2010/03/19,I spent 51 talking to Hazel on various topics in the early evening.,I spent 51 talking to Hazel on various topics in the early evening.\n330,2010/03/19,\"I spent 36 talking to Olivia, Kinsley, Claire, Rylee on various topics in the early evening.\",\"I spent 36 talking to Olivia, Kinsley, Claire, Rylee on various topics in the early evening.\"\n331,2010/03/19,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n332,2010/03/20,\"I had eggs, sausages, and bread for breakfast with Emily\",\"I had eggs, sausages, and bread for breakfast with Emily\"\n333,2010/03/20,I prepare a burger for lunch.,I prepare a burger for lunch.\n334,2010/03/20,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n335,2010/03/20,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n336,2010/03/20,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n337,2010/03/21,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n338,2010/03/21,I ate chinese food for lunch.,I ate chinese food for lunch.\n339,2010/03/21,I spent 26 talking to Kinsley on various topics in the late afternoon.,I spent 26 talking to Kinsley on various topics in the late afternoon.\n340,2010/03/21,\"I talked to Kinsley, Layla, Lydia, Hazel for 33 minutes during lunch hours.\",\"I talked to Kinsley, Layla, Lydia, Hazel for 33 minutes during lunch hours.\"\n341,2010/03/22,I did biking on 2010/03/22.,I did biking on 2010/03/22.\n342,2010/03/22,\"I had sushi for lunch with Benjamin, Avery, Willow\",\"I had sushi for lunch with Benjamin, Avery, Willow\"\n343,2010/03/22,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n344,2010/03/22,I talked to Layla for 7 minutes during lunch hours.,I talked to Layla for 7 minutes during lunch hours.\n345,2010/03/22,\"I spent 20 talking to Avery, Hazel, Nevaeh, Piper on various topics in the early evening.\",\"I spent 20 talking to Avery, Hazel, Nevaeh, Piper on various topics in the early evening.\"\n346,2010/03/22,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n347,2010/03/23,I did hiking on 2010/03/23.,I did hiking on 2010/03/23.\n348,2010/03/23,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n349,2010/03/23,\"I talked to Kinsley, Piper for 54 minutes in the morning.\",\"I talked to Kinsley, Piper for 54 minutes in the morning.\"\n350,2010/03/23,I talked to Piper for 49 minutes in the early afternoon.,I talked to Piper for 49 minutes in the early afternoon.\n351,2010/03/23,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n352,2010/03/23,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n353,2010/03/24,\"I bought some blueberries, pineapples, apples, watermelons, mineral water, tea, toilet paper, mouth wash, facial wash from the grocery store. I saw Carter, Kayden, Andrew, Emily at the grocery store.\",\"I bought some blueberries, pineapples, apples, watermelons, mineral water, tea, toilet paper, mouth wash, facial wash from the grocery store. I saw Carter, Kayden, Andrew, Emily at the grocery store.\"\n354,2010/03/24,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n355,2010/03/24,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n356,2010/03/24,\"I spent 36 talking to Claire, Nevaeh, Hazel on various topics in the early evening.\",\"I spent 36 talking to Claire, Nevaeh, Hazel on various topics in the early evening.\"\n357,2010/03/24,\"I talked to Kinsley, Olivia, Piper, Nora for 24 minutes in the late afternoon.\",\"I talked to Kinsley, Olivia, Piper, Nora for 24 minutes in the late afternoon.\"\n358,2010/03/24,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n359,2010/03/24,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n360,2010/03/25,\"On 2010/03/25, I took Dominic on a date to a boba shop\",\"On 2010/03/25, I took Dominic on a date to a boba shop\"\n361,2010/03/25,\"I spent 34 talking to Kinsley, Avery, Lydia, Claire on various topics late in the evening.\",\"I spent 34 talking to Kinsley, Avery, Lydia, Claire on various topics late in the evening.\"\n362,2010/03/25,I spent 49 talking to Layla on various topics in the late afternoon.,I spent 49 talking to Layla on various topics in the late afternoon.\n363,2010/03/25,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n364,2010/03/26,I did running on 2010/03/26.,I did running on 2010/03/26.\n365,2010/03/26,I had a burger for dinner with Emily,I had a burger for dinner with Emily\n366,2010/03/26,\"I spent 20 talking to Layla, Rylee, Piper on various topics in the early evening.\",\"I spent 20 talking to Layla, Rylee, Piper on various topics in the early evening.\"\n367,2010/03/26,I spent 9 talking to Kinsley on various topics in the morning.,I spent 9 talking to Kinsley on various topics in the morning.\n368,2010/03/26,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n369,2010/03/26,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n370,2010/03/27,I did biking on 2010/03/27.,I did biking on 2010/03/27.\n371,2010/03/27,\"I had breakfast with Kinsley, Lydia, Rylee. I ate pancakes.\",\"I had breakfast with Kinsley, Lydia, Rylee. I ate pancakes.\"\n372,2010/03/27,I prepare tacos for lunch.,I prepare tacos for lunch.\n373,2010/03/27,\"I talked to Nevaeh, Claire, Eva, Piper for 25 minutes in the early afternoon.\",\"I talked to Nevaeh, Claire, Eva, Piper for 25 minutes in the early afternoon.\"\n374,2010/03/27,\"I talked to Avery, Piper, Olivia, Hazel for 8 minutes in the late afternoon.\",\"I talked to Avery, Piper, Olivia, Hazel for 8 minutes in the late afternoon.\"\n375,2010/03/28,\"I bought some clementines, mangos, pineapples, apricots, mineral water, chocolate milk, mango juice, toilet paper, toothbrush online.\",\"I bought some clementines, mangos, pineapples, apricots, mineral water, chocolate milk, mango juice, toilet paper, toothbrush online.\"\n376,2010/03/28,I did hiking on 2010/03/28.,I did hiking on 2010/03/28.\n377,2010/03/28,\"I had breakfast with Emily, Carter, Kayden. I ate cereals.\",\"I had breakfast with Emily, Carter, Kayden. I ate cereals.\"\n378,2010/03/28,I prepare indian food for lunch.,I prepare indian food for lunch.\n379,2010/03/28,\"I talked to Avery, Hazel, Claire for 8 minutes in the early evening.\",\"I talked to Avery, Hazel, Claire for 8 minutes in the early evening.\"\n380,2010/03/28,I watched a movie for 12 minutes on TV today.,I watched a movie for 12 minutes on TV today.\n381,2010/03/29,\"I bought some nectarines, apricots, pears, mineral water, mango juice, coffee, pineapple juice, mouth wash, body lotion, conditioner online.\",\"I bought some nectarines, apricots, pears, mineral water, mango juice, coffee, pineapple juice, mouth wash, body lotion, conditioner online.\"\n382,2010/03/29,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n383,2010/03/29,I ate sandwich for lunch.,I ate sandwich for lunch.\n384,2010/03/29,\"I talked to Kinsley, Lydia for 26 minutes during lunch hours.\",\"I talked to Kinsley, Lydia for 26 minutes during lunch hours.\"\n385,2010/03/29,\"I talked to Lydia, Piper for 51 minutes in the early evening.\",\"I talked to Lydia, Piper for 51 minutes in the early evening.\"\n386,2010/03/29,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n387,2010/03/30,I did biking on 2010/03/30.,I did biking on 2010/03/30.\n388,2010/03/30,I had lunch. I ate steak.,I had lunch. I ate steak.\n389,2010/03/30,\"I had a burger for dinner with Rylee, Claire, Piper, Nevaeh, Layla, Eva, Olivia, Kinsley, Avery\",\"I had a burger for dinner with Rylee, Claire, Piper, Nevaeh, Layla, Eva, Olivia, Kinsley, Avery\"\n390,2010/03/30,\"I talked to Hazel, Layla, Kinsley for 14 minutes in the late afternoon.\",\"I talked to Hazel, Layla, Kinsley for 14 minutes in the late afternoon.\"\n391,2010/03/30,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n392,2010/03/30,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n393,2010/03/31,\"I had lunch with Emily, Carter. I ate tacos.\",\"I had lunch with Emily, Carter. I ate tacos.\"\n394,2010/03/31,\"I talked to Olivia, Avery, Rylee, Kinsley for 16 minutes in the morning.\",\"I talked to Olivia, Avery, Rylee, Kinsley for 16 minutes in the morning.\"\n395,2010/03/31,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n396,2010/03/31,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n397,2010/04/01,I did HIIT on 2010/04/01.,I did HIIT on 2010/04/01.\n398,2010/04/01,\"I had fish and chips for lunch with Kinsley, Avery, Olivia, Lydia, Rylee, Nevaeh, Hazel, Layla, Claire, Eva\",\"I had fish and chips for lunch with Kinsley, Avery, Olivia, Lydia, Rylee, Nevaeh, Hazel, Layla, Claire, Eva\"\n399,2010/04/01,\"I spent 33 talking to Piper, Eva, Nora, Claire on various topics in the late afternoon.\",\"I spent 33 talking to Piper, Eva, Nora, Claire on various topics in the late afternoon.\"\n400,2010/04/01,\"I spent 51 talking to Claire, Piper on various topics during lunch hours.\",\"I spent 51 talking to Claire, Piper on various topics during lunch hours.\"\n401,2010/04/01,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n402,2010/04/02,\"I spent 13 talking to Nora, Lydia, Olivia on various topics in the early evening.\",\"I spent 13 talking to Nora, Lydia, Olivia on various topics in the early evening.\"\n403,2010/04/02,\"I spent 49 talking to Piper, Layla, Nevaeh on various topics in the early evening.\",\"I spent 49 talking to Piper, Layla, Nevaeh on various topics in the early evening.\"\n404,2010/04/02,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n405,2010/04/03,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n406,2010/04/03,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n407,2010/04/04,I did biking on 2010/04/04.,I did biking on 2010/04/04.\n408,2010/04/04,\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate peanut-butter-jam.\"\n409,2010/04/04,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n410,2010/04/04,I talked to Kinsley for 18 minutes late in the evening.,I talked to Kinsley for 18 minutes late in the evening.\n411,2010/04/04,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n412,2010/04/04,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n413,2010/04/05,I spent time gardening on 2010/04/05 with Kayden.,I spent time gardening on 2010/04/05 with Kayden.\n414,2010/04/05,I did swimming on 2010/04/05.,I did swimming on 2010/04/05.\n415,2010/04/05,I had lunch. I ate steak.,I had lunch. I ate steak.\n416,2010/04/05,\"I spent 25 talking to Olivia, Layla, Hazel on various topics in the early evening.\",\"I spent 25 talking to Olivia, Layla, Hazel on various topics in the early evening.\"\n417,2010/04/06,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n418,2010/04/06,\"I talked to Piper, Avery, Olivia for 13 minutes late in the evening.\",\"I talked to Piper, Avery, Olivia for 13 minutes late in the evening.\"\n419,2010/04/06,I spent 36 minutes watching a documentary on TV today.,I spent 36 minutes watching a documentary on TV today.\n420,2010/04/07,I went on a date with Grace on 2010/04/07 at a park,I went on a date with Grace on 2010/04/07 at a park\n421,2010/04/07,I did hiking on 2010/04/07.,I did hiking on 2010/04/07.\n422,2010/04/07,I prepare tacos for lunch.,I prepare tacos for lunch.\n423,2010/04/07,\"I talked to Piper, Avery, Lydia, Nora for 16 minutes during lunch hours.\",\"I talked to Piper, Avery, Lydia, Nora for 16 minutes during lunch hours.\"\n424,2010/04/07,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n425,2010/04/08,\"I had breakfast with Jackson, Avery, Benjamin, Willow. I ate peanut-butter-jam.\",\"I had breakfast with Jackson, Avery, Benjamin, Willow. I ate peanut-butter-jam.\"\n426,2010/04/08,\"I had lunch with Carter, Andrew, Kayden, Emily. I ate pasta.\",\"I had lunch with Carter, Andrew, Kayden, Emily. I ate pasta.\"\n427,2010/04/08,\"I spent 26 talking to Eva, Lydia, Nevaeh, Kinsley on various topics during lunch hours.\",\"I spent 26 talking to Eva, Lydia, Nevaeh, Kinsley on various topics during lunch hours.\"\n428,2010/04/08,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n429,2010/04/08,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n430,2010/04/09,I had toast and cheese for breakfast with Benjamin,I had toast and cheese for breakfast with Benjamin\n431,2010/04/09,\"I talked to Lydia, Kinsley, Layla, Hazel for 14 minutes in the early afternoon.\",\"I talked to Lydia, Kinsley, Layla, Hazel for 14 minutes in the early afternoon.\"\n432,2010/04/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n433,2010/04/10,I prepare tacos for lunch.,I prepare tacos for lunch.\n434,2010/04/10,\"I spent 32 talking to Nevaeh, Piper, Layla on various topics in the late afternoon.\",\"I spent 32 talking to Nevaeh, Piper, Layla on various topics in the late afternoon.\"\n435,2010/04/10,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n436,2010/04/10,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n437,2010/04/11,I did swimming on 2010/04/11.,I did swimming on 2010/04/11.\n438,2010/04/11,\"I had oatmeal for breakfast with Andrew, Emily, Kayden\",\"I had oatmeal for breakfast with Andrew, Emily, Kayden\"\n439,2010/04/11,\"I talked to Piper, Piper for 50 minutes in the early evening.\",\"I talked to Piper, Piper for 50 minutes in the early evening.\"\n440,2010/04/11,I spent 29 minutes watching a tv series on TV today.,I spent 29 minutes watching a tv series on TV today.\n441,2010/04/12,I did swimming on 2010/04/12.,I did swimming on 2010/04/12.\n442,2010/04/12,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n443,2010/04/12,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n444,2010/04/12,\"I spent 27 talking to Eva, Hazel, Kinsley on various topics in the morning.\",\"I spent 27 talking to Eva, Hazel, Kinsley on various topics in the morning.\"\n445,2010/04/12,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n446,2010/04/13,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n447,2010/04/13,I prepare sushi for dinner.,I prepare sushi for dinner.\n448,2010/04/13,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n449,2010/04/13,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n450,2010/04/14,I prepare a burger for lunch.,I prepare a burger for lunch.\n451,2010/04/14,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n452,2010/04/14,I spent 37 talking to Piper on various topics during lunch hours.,I spent 37 talking to Piper on various topics during lunch hours.\n453,2010/04/14,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n454,2010/04/14,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n455,2010/04/15,I really enjoyed yoga on 2010/04/15,I really enjoyed yoga on 2010/04/15\n456,2010/04/15,I did weight lifting on 2010/04/15.,I did weight lifting on 2010/04/15.\n457,2010/04/15,I talked to Layla for 21 minutes in the morning.,I talked to Layla for 21 minutes in the morning.\n458,2010/04/16,I did biking on 2010/04/16.,I did biking on 2010/04/16.\n459,2010/04/16,I ate tacos for lunch.,I ate tacos for lunch.\n460,2010/04/16,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n461,2010/04/16,\"I talked to Nevaeh, Olivia, Lydia, Hazel for 10 minutes late in the evening.\",\"I talked to Nevaeh, Olivia, Lydia, Hazel for 10 minutes late in the evening.\"\n462,2010/04/16,\"I talked to Eva, Layla for 17 minutes during lunch hours.\",\"I talked to Eva, Layla for 17 minutes during lunch hours.\"\n463,2010/04/16,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n464,2010/04/17,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n465,2010/04/17,I prepare indian food for lunch.,I prepare indian food for lunch.\n466,2010/04/17,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n467,2010/04/17,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n468,2010/04/18,I did hiking on 2010/04/18.,I did hiking on 2010/04/18.\n469,2010/04/18,\"I had peanut-butter-jam for breakfast with Emily, Kayden, Andrew\",\"I had peanut-butter-jam for breakfast with Emily, Kayden, Andrew\"\n470,2010/04/18,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n471,2010/04/18,\"I had dinner with Kayden, Andrew, Emily, Carter. I ate a burger.\",\"I had dinner with Kayden, Andrew, Emily, Carter. I ate a burger.\"\n472,2010/04/18,\"I spent 15 talking to Olivia, Kinsley on various topics in the morning.\",\"I spent 15 talking to Olivia, Kinsley on various topics in the morning.\"\n473,2010/04/18,\"I spent 38 talking to Layla, Kinsley, Rylee, Piper on various topics late in the evening.\",\"I spent 38 talking to Layla, Kinsley, Rylee, Piper on various topics late in the evening.\"\n474,2010/04/18,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n475,2010/04/19,\"On 2010/04/19, I took Miles on a date to a boba shop\",\"On 2010/04/19, I took Miles on a date to a boba shop\"\n476,2010/04/19,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n477,2010/04/19,\"I had dinner with Andrew, Kayden, Emily, Carter. I ate chinese food.\",\"I had dinner with Andrew, Kayden, Emily, Carter. I ate chinese food.\"\n478,2010/04/19,\"I talked to Avery, Lydia, Piper for 15 minutes in the early afternoon.\",\"I talked to Avery, Lydia, Piper for 15 minutes in the early afternoon.\"\n479,2010/04/19,\"I talked to Lydia, Piper, Hazel, Olivia for 55 minutes in the late afternoon.\",\"I talked to Lydia, Piper, Hazel, Olivia for 55 minutes in the late afternoon.\"\n480,2010/04/20,\"I had cereals for breakfast with Andrew, Carter\",\"I had cereals for breakfast with Andrew, Carter\"\n481,2010/04/20,I spent 5 talking to Rylee on various topics in the early evening.,I spent 5 talking to Rylee on various topics in the early evening.\n482,2010/04/20,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n483,2010/04/20,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n484,2010/04/21,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n485,2010/04/21,I spent 10 talking to Nora on various topics late in the evening.,I spent 10 talking to Nora on various topics late in the evening.\n486,2010/04/21,\"I spent 41 talking to Rylee, Eva, Hazel on various topics in the early evening.\",\"I spent 41 talking to Rylee, Eva, Hazel on various topics in the early evening.\"\n487,2010/04/22,I did hiking on 2010/04/22.,I did hiking on 2010/04/22.\n488,2010/04/22,I ate tacos for lunch.,I ate tacos for lunch.\n489,2010/04/22,\"I talked to Nora, Piper for 19 minutes in the late afternoon.\",\"I talked to Nora, Piper for 19 minutes in the late afternoon.\"\n490,2010/04/22,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n491,2010/04/22,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n492,2010/04/23,\"I talked to Piper, Nevaeh, Avery, Layla for 9 minutes in the morning.\",\"I talked to Piper, Nevaeh, Avery, Layla for 9 minutes in the morning.\"\n493,2010/04/23,\"I talked to Lydia, Claire, Layla for 33 minutes in the early evening.\",\"I talked to Lydia, Claire, Layla for 33 minutes in the early evening.\"\n494,2010/04/23,I watched a documentary for 55 minutes on TV today.,I watched a documentary for 55 minutes on TV today.\n495,2010/04/24,I did weight lifting on 2010/04/24.,I did weight lifting on 2010/04/24.\n496,2010/04/24,I talked to Nevaeh for 40 minutes late in the evening.,I talked to Nevaeh for 40 minutes late in the evening.\n497,2010/04/25,I spent some time meditation on 2010/04/25.,I spent some time meditation on 2010/04/25.\n498,2010/04/25,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n499,2010/04/25,I had dinner with Emily. I ate fish and chips.,I had dinner with Emily. I ate fish and chips.\n500,2010/04/25,I spent 29 talking to Nevaeh on various topics in the early evening.,I spent 29 talking to Nevaeh on various topics in the early evening.\n501,2010/04/25,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n502,2010/04/26,I spent time meditation on 2010/04/26 with Nevaeh.,I spent time meditation on 2010/04/26 with Nevaeh.\n503,2010/04/26,I did HIIT on 2010/04/26.,I did HIIT on 2010/04/26.\n504,2010/04/26,I ate tacos for dinner.,I ate tacos for dinner.\n505,2010/04/26,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n506,2010/04/27,I went on a date with Aurora on 2010/04/27 at a coffee Shop,I went on a date with Aurora on 2010/04/27 at a coffee Shop\n507,2010/04/27,I did hiking on 2010/04/27.,I did hiking on 2010/04/27.\n508,2010/04/27,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n509,2010/04/27,I had steak for lunch with Piper,I had steak for lunch with Piper\n510,2010/04/27,\"I spent 16 talking to Nora, Claire, Layla, Olivia on various topics during lunch hours.\",\"I spent 16 talking to Nora, Claire, Layla, Olivia on various topics during lunch hours.\"\n511,2010/04/27,I talked to Layla for 54 minutes in the late afternoon.,I talked to Layla for 54 minutes in the late afternoon.\n512,2010/04/27,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n513,2010/04/28,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n514,2010/04/29,I did swimming on 2010/04/29.,I did swimming on 2010/04/29.\n515,2010/04/29,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n516,2010/04/29,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n517,2010/04/29,\"I had dinner with Willow, Benjamin, Jackson. I ate pasta.\",\"I had dinner with Willow, Benjamin, Jackson. I ate pasta.\"\n518,2010/04/29,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n519,2010/04/29,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n520,2010/04/30,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n521,2010/04/30,\"I talked to Eva, Avery, Lydia, Piper for 29 minutes during lunch hours.\",\"I talked to Eva, Avery, Lydia, Piper for 29 minutes during lunch hours.\"\n522,2010/04/30,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n523,2010/05/01,I prepare tacos for lunch.,I prepare tacos for lunch.\n524,2010/05/01,\"I talked to Lydia, Eva for 42 minutes in the late afternoon.\",\"I talked to Lydia, Eva for 42 minutes in the late afternoon.\"\n525,2010/05/01,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n526,2010/05/02,I did hiking on 2010/05/02.,I did hiking on 2010/05/02.\n527,2010/05/02,\"I talked to Eva, Nevaeh for 17 minutes during lunch hours.\",\"I talked to Eva, Nevaeh for 17 minutes during lunch hours.\"\n528,2010/05/02,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n529,2010/05/03,I ate indian food for dinner.,I ate indian food for dinner.\n530,2010/05/03,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n531,2010/05/04,\"I went grocery shopping. I bought some pineapples, mangos, blackberries, strawberries, chocolate milk, and facial wash, mouth wash, toilet paper, mouthwash\",\"I went grocery shopping. I bought some pineapples, mangos, blackberries, strawberries, chocolate milk, and facial wash, mouth wash, toilet paper, mouthwash\"\n532,2010/05/04,I did hiking on 2010/05/04.,I did hiking on 2010/05/04.\n533,2010/05/04,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n534,2010/05/04,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n535,2010/05/04,\"I talked to Avery, Olivia, Layla for 40 minutes late in the evening.\",\"I talked to Avery, Olivia, Layla for 40 minutes late in the evening.\"\n536,2010/05/04,I talked to Hazel for 17 minutes during lunch hours.,I talked to Hazel for 17 minutes during lunch hours.\n537,2010/05/05,\"I had oatmeal for breakfast with Hazel, Nevaeh, Claire\",\"I had oatmeal for breakfast with Hazel, Nevaeh, Claire\"\n538,2010/05/05,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n539,2010/05/06,\"I had breakfast with Andrew, Kayden. I ate cereals.\",\"I had breakfast with Andrew, Kayden. I ate cereals.\"\n540,2010/05/06,I had dinner. I ate steak.,I had dinner. I ate steak.\n541,2010/05/06,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n542,2010/05/07,\"I had eggs, sausages, and bread for breakfast with Nevaeh, Claire, Eva, Olivia, Piper, Kinsley, Rylee, Avery\",\"I had eggs, sausages, and bread for breakfast with Nevaeh, Claire, Eva, Olivia, Piper, Kinsley, Rylee, Avery\"\n543,2010/05/07,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n544,2010/05/07,\"I talked to Piper, Claire, Lydia, Rylee for 21 minutes in the morning.\",\"I talked to Piper, Claire, Lydia, Rylee for 21 minutes in the morning.\"\n545,2010/05/07,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n546,2010/05/08,I had indian food for lunch with Jackson,I had indian food for lunch with Jackson\n547,2010/05/09,I spent some time meditation on 2010/05/09.,I spent some time meditation on 2010/05/09.\n548,2010/05/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n549,2010/05/09,I ate steak for dinner.,I ate steak for dinner.\n550,2010/05/09,\"I talked to Rylee, Kinsley, Eva for 11 minutes in the late afternoon.\",\"I talked to Rylee, Kinsley, Eva for 11 minutes in the late afternoon.\"\n551,2010/05/10,\"I went grocery shopping. I bought some blackberries, cherres, milk, guava juice, and conditioner, body lotion\",\"I went grocery shopping. I bought some blackberries, cherres, milk, guava juice, and conditioner, body lotion\"\n552,2010/05/10,I did swimming on 2010/05/10.,I did swimming on 2010/05/10.\n553,2010/05/10,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n554,2010/05/10,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n555,2010/05/10,I prepare steak for dinner.,I prepare steak for dinner.\n556,2010/05/10,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n557,2010/05/10,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n558,2010/05/11,I really enjoyed learning a language on 2010/05/11,I really enjoyed learning a language on 2010/05/11\n559,2010/05/11,\"I had peanut-butter-jam for breakfast with Piper, Layla, Claire, Eva, Nora, Hazel, Nevaeh, Olivia\",\"I had peanut-butter-jam for breakfast with Piper, Layla, Claire, Eva, Nora, Hazel, Nevaeh, Olivia\"\n560,2010/05/11,\"I had sandwich for lunch with Andrew, Carter, Emily, Kayden\",\"I had sandwich for lunch with Andrew, Carter, Emily, Kayden\"\n561,2010/05/11,\"I had dinner with Claire, Avery, Eva, Nora, Lydia, Rylee, Piper, Layla, Nevaeh, Kinsley, Piper, Olivia. I ate sandwich.\",\"I had dinner with Claire, Avery, Eva, Nora, Lydia, Rylee, Piper, Layla, Nevaeh, Kinsley, Piper, Olivia. I ate sandwich.\"\n562,2010/05/12,I had breakfast with Emily. I ate peanut-butter-jam.,I had breakfast with Emily. I ate peanut-butter-jam.\n563,2010/05/12,I prepare steak for lunch.,I prepare steak for lunch.\n564,2010/05/12,\"I spent 20 talking to Eva, Piper on various topics during lunch hours.\",\"I spent 20 talking to Eva, Piper on various topics during lunch hours.\"\n565,2010/05/12,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n566,2010/05/13,\"On 2010/05/13, I took Santiago  on a date to a park\",\"On 2010/05/13, I took Santiago  on a date to a park\"\n567,2010/05/13,I did weight lifting on 2010/05/13.,I did weight lifting on 2010/05/13.\n568,2010/05/13,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n569,2010/05/13,\"I had dinner with Kayden, Emily, Carter. I ate indian food.\",\"I had dinner with Kayden, Emily, Carter. I ate indian food.\"\n570,2010/05/13,\"I spent 32 talking to Claire, Layla, Eva on various topics in the early evening.\",\"I spent 32 talking to Claire, Layla, Eva on various topics in the early evening.\"\n571,2010/05/13,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n572,2010/05/14,\"I went grocery shopping with Rylee, Olivia, Piper, Eva, Layla, Nora, Lydia. I bought some cherres, apples, milk, orange juice, and mouth wash, facial wash, toothpaste, conditioner\",\"I went grocery shopping with Rylee, Olivia, Piper, Eva, Layla, Nora, Lydia. I bought some cherres, apples, milk, orange juice, and mouth wash, facial wash, toothpaste, conditioner\"\n573,2010/05/14,I did weight lifting on 2010/05/14.,I did weight lifting on 2010/05/14.\n574,2010/05/14,I had lunch. I ate steak.,I had lunch. I ate steak.\n575,2010/05/14,\"I talked to Olivia, Piper for 16 minutes in the early afternoon.\",\"I talked to Olivia, Piper for 16 minutes in the early afternoon.\"\n576,2010/05/15,\"I had lunch with Kayden, Carter, Andrew, Emily. I ate chinese food.\",\"I had lunch with Kayden, Carter, Andrew, Emily. I ate chinese food.\"\n577,2010/05/15,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n578,2010/05/15,\"I spent 28 talking to Piper, Layla on various topics during lunch hours.\",\"I spent 28 talking to Piper, Layla on various topics during lunch hours.\"\n579,2010/05/15,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n580,2010/05/16,\"I had breakfast with Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter. I ate eggs, sausages, and bread.\"\n581,2010/05/16,I ate steak for dinner.,I ate steak for dinner.\n582,2010/05/16,\"I talked to Rylee, Lydia for 19 minutes in the early afternoon.\",\"I talked to Rylee, Lydia for 19 minutes in the early afternoon.\"\n583,2010/05/16,\"I spent 46 talking to Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 46 talking to Piper, Nevaeh on various topics in the early afternoon.\"\n584,2010/05/16,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n585,2010/05/17,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n586,2010/05/17,\"I had steak for lunch with Jackson, Benjamin, Avery, Willow\",\"I had steak for lunch with Jackson, Benjamin, Avery, Willow\"\n587,2010/05/17,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n588,2010/05/18,\"I had dinner with Jackson, Avery, Benjamin. I ate fish and chips.\",\"I had dinner with Jackson, Avery, Benjamin. I ate fish and chips.\"\n589,2010/05/18,\"I spent 12 talking to Avery, Lydia, Nevaeh, Nora on various topics in the early afternoon.\",\"I spent 12 talking to Avery, Lydia, Nevaeh, Nora on various topics in the early afternoon.\"\n590,2010/05/18,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n591,2010/05/19,\"I spent 37 talking to Layla, Piper on various topics in the early afternoon.\",\"I spent 37 talking to Layla, Piper on various topics in the early afternoon.\"\n592,2010/05/20,I ate sandwich for dinner.,I ate sandwich for dinner.\n593,2010/05/20,\"I talked to Nora, Kinsley, Rylee, Olivia for 29 minutes in the early afternoon.\",\"I talked to Nora, Kinsley, Rylee, Olivia for 29 minutes in the early afternoon.\"\n594,2010/05/20,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n595,2010/05/21,I went on a date with Theodore on 2010/05/21 at a restaurant,I went on a date with Theodore on 2010/05/21 at a restaurant\n596,2010/05/21,\"I had breakfast with Nevaeh, Kinsley, Lydia, Layla, Hazel, Olivia, Rylee, Piper, Avery, Piper, Claire, Nora. I ate eggs, sausages, and bread.\",\"I had breakfast with Nevaeh, Kinsley, Lydia, Layla, Hazel, Olivia, Rylee, Piper, Avery, Piper, Claire, Nora. I ate eggs, sausages, and bread.\"\n597,2010/05/21,I ate sandwich for lunch.,I ate sandwich for lunch.\n598,2010/05/22,I did HIIT on 2010/05/22.,I did HIIT on 2010/05/22.\n599,2010/05/22,\"I had eggs, sausages, and bread for breakfast with Carter\",\"I had eggs, sausages, and bread for breakfast with Carter\"\n600,2010/05/22,\"I had lunch with Emily, Andrew, Carter, Kayden. I ate indian food.\",\"I had lunch with Emily, Andrew, Carter, Kayden. I ate indian food.\"\n601,2010/05/22,\"I had indian food for dinner with Olivia, Nora\",\"I had indian food for dinner with Olivia, Nora\"\n602,2010/05/22,\"I spent 24 talking to Claire, Piper, Nevaeh, Olivia on various topics in the late afternoon.\",\"I spent 24 talking to Claire, Piper, Nevaeh, Olivia on various topics in the late afternoon.\"\n603,2010/05/22,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n604,2010/05/22,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n605,2010/05/23,\"I bought some pears, blackberries, guava, mineral water, orange juice, toothpaste, shaving cream from the grocery store. I saw Carter, Kayden, Andrew, Emily at the grocery store.\",\"I bought some pears, blackberries, guava, mineral water, orange juice, toothpaste, shaving cream from the grocery store. I saw Carter, Kayden, Andrew, Emily at the grocery store.\"\n606,2010/05/23,I did hiking on 2010/05/23.,I did hiking on 2010/05/23.\n607,2010/05/23,\"I had tacos for lunch with Layla, Piper, Piper, Eva, Claire, Nevaeh, Olivia, Kinsley, Avery\",\"I had tacos for lunch with Layla, Piper, Piper, Eva, Claire, Nevaeh, Olivia, Kinsley, Avery\"\n608,2010/05/23,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n609,2010/05/23,\"I talked to Claire, Piper, Lydia for 35 minutes during lunch hours.\",\"I talked to Claire, Piper, Lydia for 35 minutes during lunch hours.\"\n610,2010/05/23,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n611,2010/05/24,I did hiking on 2010/05/24.,I did hiking on 2010/05/24.\n612,2010/05/24,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n613,2010/05/24,\"I had steak for dinner with Andrew, Emily, Carter\",\"I had steak for dinner with Andrew, Emily, Carter\"\n614,2010/05/24,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n615,2010/05/25,I did HIIT on 2010/05/25.,I did HIIT on 2010/05/25.\n616,2010/05/25,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n617,2010/05/25,I prepare pasta for lunch.,I prepare pasta for lunch.\n618,2010/05/25,\"I spent 18 talking to Piper, Olivia on various topics in the morning.\",\"I spent 18 talking to Piper, Olivia on various topics in the morning.\"\n619,2010/05/25,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n620,2010/05/25,I watched a tv series for 5 minutes on TV today.,I watched a tv series for 5 minutes on TV today.\n621,2010/05/26,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n622,2010/05/27,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n623,2010/05/27,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n624,2010/05/27,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n625,2010/05/28,I did running on 2010/05/28.,I did running on 2010/05/28.\n626,2010/05/28,\"I had chinese food for lunch with Benjamin, Willow, Jackson\",\"I had chinese food for lunch with Benjamin, Willow, Jackson\"\n627,2010/05/28,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n628,2010/05/29,I did HIIT on 2010/05/29.,I did HIIT on 2010/05/29.\n629,2010/05/29,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n630,2010/05/29,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n631,2010/05/30,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n632,2010/05/30,I ate steak for lunch.,I ate steak for lunch.\n633,2010/05/30,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n634,2010/05/30,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n635,2010/05/30,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n636,2010/05/31,I did biking on 2010/05/31.,I did biking on 2010/05/31.\n637,2010/06/01,\"On 2010/06/01, I took Christian on a date to a coffee Shop\",\"On 2010/06/01, I took Christian on a date to a coffee Shop\"\n638,2010/06/01,\"I bought some mangos, cherres, soda, mineral water, pineapple juice, chocolate milk, mouth wash online.\",\"I bought some mangos, cherres, soda, mineral water, pineapple juice, chocolate milk, mouth wash online.\"\n639,2010/06/01,I did hiking on 2010/06/01.,I did hiking on 2010/06/01.\n640,2010/06/02,I did HIIT on 2010/06/02.,I did HIIT on 2010/06/02.\n641,2010/06/02,I prepare tacos for lunch.,I prepare tacos for lunch.\n642,2010/06/02,\"I spent 10 talking to Kinsley, Nora, Piper on various topics in the early afternoon.\",\"I spent 10 talking to Kinsley, Nora, Piper on various topics in the early afternoon.\"\n643,2010/06/02,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n644,2010/06/03,I did biking on 2010/06/03.,I did biking on 2010/06/03.\n645,2010/06/03,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n646,2010/06/03,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n647,2010/06/04,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n648,2010/06/04,\"I had chinese food for dinner with Carter, Emily, Kayden\",\"I had chinese food for dinner with Carter, Emily, Kayden\"\n649,2010/06/04,\"I talked to Layla, Nora, Piper for 12 minutes in the early afternoon.\",\"I talked to Layla, Nora, Piper for 12 minutes in the early afternoon.\"\n650,2010/06/05,\"I bought some guava, blueberries, coffee, milk, chocolate milk, mouth wash, mouthwash, facial wash from the grocery store. I saw Olivia, Claire, Hazel, Nevaeh at the grocery store.\",\"I bought some guava, blueberries, coffee, milk, chocolate milk, mouth wash, mouthwash, facial wash from the grocery store. I saw Olivia, Claire, Hazel, Nevaeh at the grocery store.\"\n651,2010/06/05,I did biking on 2010/06/05.,I did biking on 2010/06/05.\n652,2010/06/05,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n653,2010/06/05,\"I had lunch with Hazel, Layla, Avery. I ate a burger.\",\"I had lunch with Hazel, Layla, Avery. I ate a burger.\"\n654,2010/06/05,I prepare tacos for dinner.,I prepare tacos for dinner.\n655,2010/06/05,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n656,2010/06/06,I spent some time gardening on 2010/06/06.,I spent some time gardening on 2010/06/06.\n657,2010/06/06,I did HIIT on 2010/06/06.,I did HIIT on 2010/06/06.\n658,2010/06/06,I had lunch. I ate steak.,I had lunch. I ate steak.\n659,2010/06/06,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n660,2010/06/06,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n661,2010/06/07,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n662,2010/06/07,I talked to Kinsley for 52 minutes during lunch hours.,I talked to Kinsley for 52 minutes during lunch hours.\n663,2010/06/07,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n664,2010/06/08,I really enjoyed learning a language on 2010/06/08,I really enjoyed learning a language on 2010/06/08\n665,2010/06/08,I had lunch with Emily. I ate chinese food.,I had lunch with Emily. I ate chinese food.\n666,2010/06/08,I talked to Avery for 28 minutes in the late afternoon.,I talked to Avery for 28 minutes in the late afternoon.\n667,2010/06/08,\"I talked to Piper, Nevaeh for 14 minutes in the early afternoon.\",\"I talked to Piper, Nevaeh for 14 minutes in the early afternoon.\"\n668,2010/06/08,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n669,2010/06/08,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n670,2010/06/09,I did biking on 2010/06/09.,I did biking on 2010/06/09.\n671,2010/06/09,\"I had breakfast with Nevaeh, Kinsley, Lydia, Nora, Hazel, Avery, Claire, Rylee, Layla. I ate oatmeal.\",\"I had breakfast with Nevaeh, Kinsley, Lydia, Nora, Hazel, Avery, Claire, Rylee, Layla. I ate oatmeal.\"\n672,2010/06/09,\"I had fish and chips for lunch with Kayden, Carter\",\"I had fish and chips for lunch with Kayden, Carter\"\n673,2010/06/09,\"I spent 29 talking to Layla, Nevaeh on various topics in the morning.\",\"I spent 29 talking to Layla, Nevaeh on various topics in the morning.\"\n674,2010/06/09,\"I talked to Nevaeh, Piper, Lydia, Olivia for 5 minutes late in the evening.\",\"I talked to Nevaeh, Piper, Lydia, Olivia for 5 minutes late in the evening.\"\n675,2010/06/09,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n676,2010/06/10,I ate indian food for lunch.,I ate indian food for lunch.\n677,2010/06/10,I spent 8 talking to Eva on various topics during lunch hours.,I spent 8 talking to Eva on various topics during lunch hours.\n678,2010/06/10,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n679,2010/06/11,\"I talked to Claire, Olivia, Kinsley for 7 minutes in the morning.\",\"I talked to Claire, Olivia, Kinsley for 7 minutes in the morning.\"\n680,2010/06/11,\"I spent 46 talking to Kinsley, Nevaeh, Olivia, Piper on various topics late in the evening.\",\"I spent 46 talking to Kinsley, Nevaeh, Olivia, Piper on various topics late in the evening.\"\n681,2010/06/11,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n682,2010/06/12,\"I had lunch with Emily, Andrew, Kayden. I ate pasta.\",\"I had lunch with Emily, Andrew, Kayden. I ate pasta.\"\n683,2010/06/12,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n684,2010/06/12,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n685,2010/06/12,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n686,2010/06/13,I had a burger for lunch with Nora,I had a burger for lunch with Nora\n687,2010/06/13,\"I spent 19 talking to Piper, Nevaeh on various topics in the morning.\",\"I spent 19 talking to Piper, Nevaeh on various topics in the morning.\"\n688,2010/06/13,\"I talked to Nevaeh, Claire for 21 minutes during lunch hours.\",\"I talked to Nevaeh, Claire for 21 minutes during lunch hours.\"\n689,2010/06/13,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n690,2010/06/14,I went on a date with Jordan on 2010/06/14 at a park,I went on a date with Jordan on 2010/06/14 at a park\n691,2010/06/14,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n692,2010/06/15,I did hiking on 2010/06/15.,I did hiking on 2010/06/15.\n693,2010/06/15,\"I had breakfast with Jackson, Avery, Benjamin, Willow. I ate toast and cheese.\",\"I had breakfast with Jackson, Avery, Benjamin, Willow. I ate toast and cheese.\"\n694,2010/06/15,\"I had fish and chips for lunch with Kayden, Emily, Carter\",\"I had fish and chips for lunch with Kayden, Emily, Carter\"\n695,2010/06/15,I ate indian food for dinner.,I ate indian food for dinner.\n696,2010/06/15,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n697,2010/06/15,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n698,2010/06/16,I ate tacos for lunch.,I ate tacos for lunch.\n699,2010/06/16,\"I had steak for dinner with Nevaeh, Lydia, Piper, Claire, Layla, Rylee\",\"I had steak for dinner with Nevaeh, Lydia, Piper, Claire, Layla, Rylee\"\n700,2010/06/17,I spent time meditation on 2010/06/17 with Jackson.,I spent time meditation on 2010/06/17 with Jackson.\n701,2010/06/17,I did running on 2010/06/17.,I did running on 2010/06/17.\n702,2010/06/17,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n703,2010/06/17,\"I had steak for dinner with Andrew, Emily\",\"I had steak for dinner with Andrew, Emily\"\n704,2010/06/17,\"I spent 31 talking to Eva, Nevaeh, Avery, Piper on various topics during lunch hours.\",\"I spent 31 talking to Eva, Nevaeh, Avery, Piper on various topics during lunch hours.\"\n705,2010/06/18,\"I had tacos for lunch with Kayden, Andrew\",\"I had tacos for lunch with Kayden, Andrew\"\n706,2010/06/18,\"I had fish and chips for dinner with Avery, Jackson, Willow, Benjamin\",\"I had fish and chips for dinner with Avery, Jackson, Willow, Benjamin\"\n707,2010/06/18,\"I spent 14 talking to Piper, Eva, Rylee on various topics in the late afternoon.\",\"I spent 14 talking to Piper, Eva, Rylee on various topics in the late afternoon.\"\n708,2010/06/18,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n709,2010/06/19,I did biking on 2010/06/19.,I did biking on 2010/06/19.\n710,2010/06/19,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n711,2010/06/19,I ate pasta for lunch.,I ate pasta for lunch.\n712,2010/06/19,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n713,2010/06/19,I talked to Rylee for 13 minutes during lunch hours.,I talked to Rylee for 13 minutes during lunch hours.\n714,2010/06/19,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n715,2010/06/20,I did HIIT on 2010/06/20.,I did HIIT on 2010/06/20.\n716,2010/06/20,I had lunch with Emily. I ate pasta.,I had lunch with Emily. I ate pasta.\n717,2010/06/20,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n718,2010/06/21,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n719,2010/06/21,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n720,2010/06/21,I spent 13 talking to Hazel on various topics in the morning.,I spent 13 talking to Hazel on various topics in the morning.\n721,2010/06/21,I watched a tv series for 16 minutes on TV today.,I watched a tv series for 16 minutes on TV today.\n722,2010/06/22,I did swimming on 2010/06/22.,I did swimming on 2010/06/22.\n723,2010/06/22,\"I had peanut-butter-jam for breakfast with Nevaeh, Avery, Piper, Rylee, Nora, Kinsley\",\"I had peanut-butter-jam for breakfast with Nevaeh, Avery, Piper, Rylee, Nora, Kinsley\"\n724,2010/06/22,I ate steak for lunch.,I ate steak for lunch.\n725,2010/06/22,\"I had pasta for dinner with Benjamin, Avery, Willow, Jackson\",\"I had pasta for dinner with Benjamin, Avery, Willow, Jackson\"\n726,2010/06/22,I talked to Avery for 55 minutes in the morning.,I talked to Avery for 55 minutes in the morning.\n727,2010/06/22,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n728,2010/06/23,\"I had breakfast with Carter, Andrew, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Andrew, Kayden. I ate peanut-butter-jam.\"\n729,2010/06/23,I ate tacos for dinner.,I ate tacos for dinner.\n730,2010/06/23,\"I spent 29 talking to Eva, Layla, Piper, Avery on various topics in the morning.\",\"I spent 29 talking to Eva, Layla, Piper, Avery on various topics in the morning.\"\n731,2010/06/23,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n732,2010/06/25,I spent some time gardening on 2010/06/25.,I spent some time gardening on 2010/06/25.\n733,2010/06/25,I did weight lifting on 2010/06/25.,I did weight lifting on 2010/06/25.\n734,2010/06/25,I had lunch. I ate steak.,I had lunch. I ate steak.\n735,2010/06/25,\"I talked to Nevaeh, Piper, Eva, Avery for 39 minutes in the early evening.\",\"I talked to Nevaeh, Piper, Eva, Avery for 39 minutes in the early evening.\"\n736,2010/06/25,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n737,2010/06/26,I did weight lifting on 2010/06/26.,I did weight lifting on 2010/06/26.\n738,2010/06/26,I had breakfast with Carter. I ate oatmeal.,I had breakfast with Carter. I ate oatmeal.\n739,2010/06/26,I prepare pasta for lunch.,I prepare pasta for lunch.\n740,2010/06/26,\"I had dinner with Rylee, Kinsley, Nevaeh, Avery, Layla. I ate sandwich.\",\"I had dinner with Rylee, Kinsley, Nevaeh, Avery, Layla. I ate sandwich.\"\n741,2010/06/26,\"I spent 14 talking to Olivia, Lydia, Piper on various topics in the early evening.\",\"I spent 14 talking to Olivia, Lydia, Piper on various topics in the early evening.\"\n742,2010/06/26,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n743,2010/06/27,I did biking on 2010/06/27.,I did biking on 2010/06/27.\n744,2010/06/27,\"I had pasta for lunch with Kayden, Emily, Carter, Andrew\",\"I had pasta for lunch with Kayden, Emily, Carter, Andrew\"\n745,2010/06/27,\"I talked to Lydia, Piper, Nevaeh for 12 minutes in the early afternoon.\",\"I talked to Lydia, Piper, Nevaeh for 12 minutes in the early afternoon.\"\n746,2010/06/27,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n747,2010/06/28,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n748,2010/06/28,I spent 49 talking to Nevaeh on various topics in the morning.,I spent 49 talking to Nevaeh on various topics in the morning.\n749,2010/06/28,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n750,2010/06/29,\"I had breakfast with Eva, Rylee, Avery, Nora, Layla, Piper, Claire, Hazel, Olivia, Piper, Lydia. I ate eggs, sausages, and bread.\",\"I had breakfast with Eva, Rylee, Avery, Nora, Layla, Piper, Claire, Hazel, Olivia, Piper, Lydia. I ate eggs, sausages, and bread.\"\n751,2010/06/29,\"I spent 16 talking to Piper, Piper, Layla, Kinsley on various topics late in the evening.\",\"I spent 16 talking to Piper, Piper, Layla, Kinsley on various topics late in the evening.\"\n752,2010/06/30,\"I bought some cherres, pineapples, peaches, guava, orange juice, shampoo online.\",\"I bought some cherres, pineapples, peaches, guava, orange juice, shampoo online.\"\n753,2010/06/30,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n754,2010/06/30,I had lunch with Piper. I ate sandwich.,I had lunch with Piper. I ate sandwich.\n755,2010/06/30,I had dinner with Carter. I ate fish and chips.,I had dinner with Carter. I ate fish and chips.\n756,2010/06/30,\"I spent 53 talking to Piper, Kinsley, Piper, Hazel on various topics in the early evening.\",\"I spent 53 talking to Piper, Kinsley, Piper, Hazel on various topics in the early evening.\"\n757,2010/07/01,I did biking on 2010/07/01.,I did biking on 2010/07/01.\n758,2010/07/01,\"I talked to Layla, Kinsley for 43 minutes in the morning.\",\"I talked to Layla, Kinsley for 43 minutes in the morning.\"\n759,2010/07/02,\"I spent time yoga on 2010/07/02 with Kayden, Carter.\",\"I spent time yoga on 2010/07/02 with Kayden, Carter.\"\n760,2010/07/02,I did swimming on 2010/07/02.,I did swimming on 2010/07/02.\n761,2010/07/02,\"I talked to Nora, Layla, Kinsley, Olivia for 22 minutes in the morning.\",\"I talked to Nora, Layla, Kinsley, Olivia for 22 minutes in the morning.\"\n762,2010/07/03,I did running on 2010/07/03.,I did running on 2010/07/03.\n763,2010/07/03,I prepare sushi for lunch.,I prepare sushi for lunch.\n764,2010/07/03,\"I talked to Olivia, Avery, Nevaeh, Piper for 54 minutes in the morning.\",\"I talked to Olivia, Avery, Nevaeh, Piper for 54 minutes in the morning.\"\n765,2010/07/03,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n766,2010/07/04,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n767,2010/07/05,I did weight lifting on 2010/07/05.,I did weight lifting on 2010/07/05.\n768,2010/07/05,I had lunch with Avery. I ate indian food.,I had lunch with Avery. I ate indian food.\n769,2010/07/05,I talked to Piper for 11 minutes late in the evening.,I talked to Piper for 11 minutes late in the evening.\n770,2010/07/05,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n771,2010/07/05,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n772,2010/07/06,I did biking on 2010/07/06.,I did biking on 2010/07/06.\n773,2010/07/06,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n774,2010/07/06,\"I had lunch with Willow, Jackson. I ate pasta.\",\"I had lunch with Willow, Jackson. I ate pasta.\"\n775,2010/07/06,\"I talked to Layla, Avery, Piper for 16 minutes in the early evening.\",\"I talked to Layla, Avery, Piper for 16 minutes in the early evening.\"\n776,2010/07/07,\"I talked to Hazel, Rylee, Claire for 42 minutes in the early evening.\",\"I talked to Hazel, Rylee, Claire for 42 minutes in the early evening.\"\n777,2010/07/08,I did biking on 2010/07/08.,I did biking on 2010/07/08.\n778,2010/07/08,\"I had peanut-butter-jam for breakfast with Layla, Eva, Piper, Hazel, Nevaeh, Avery, Lydia, Piper, Olivia, Claire, Rylee, Nora, Kinsley\",\"I had peanut-butter-jam for breakfast with Layla, Eva, Piper, Hazel, Nevaeh, Avery, Lydia, Piper, Olivia, Claire, Rylee, Nora, Kinsley\"\n779,2010/07/08,\"I had tacos for lunch with Avery, Jackson, Willow, Benjamin\",\"I had tacos for lunch with Avery, Jackson, Willow, Benjamin\"\n780,2010/07/08,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n781,2010/07/08,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n782,2010/07/09,I did HIIT on 2010/07/09.,I did HIIT on 2010/07/09.\n783,2010/07/09,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n784,2010/07/09,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n785,2010/07/09,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n786,2010/07/10,I did HIIT on 2010/07/10.,I did HIIT on 2010/07/10.\n787,2010/07/10,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n788,2010/07/10,\"I spent 12 talking to Nevaeh, Claire, Rylee, Hazel on various topics in the morning.\",\"I spent 12 talking to Nevaeh, Claire, Rylee, Hazel on various topics in the morning.\"\n789,2010/07/10,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n790,2010/07/11,I did biking on 2010/07/11.,I did biking on 2010/07/11.\n791,2010/07/11,\"I had lunch with Kayden, Emily. I ate indian food.\",\"I had lunch with Kayden, Emily. I ate indian food.\"\n792,2010/07/11,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n793,2010/07/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n794,2010/07/12,I prepare pasta for lunch.,I prepare pasta for lunch.\n795,2010/07/12,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n796,2010/07/12,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n797,2010/07/13,\"I had lunch with Willow, Benjamin, Avery. I ate fish and chips.\",\"I had lunch with Willow, Benjamin, Avery. I ate fish and chips.\"\n798,2010/07/13,I watched news for 15 minutes on TV today.,I watched news for 15 minutes on TV today.\n799,2010/07/14,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n800,2010/07/14,\"I talked to Avery, Lydia, Piper for 22 minutes in the morning.\",\"I talked to Avery, Lydia, Piper for 22 minutes in the morning.\"\n801,2010/07/14,\"I talked to Eva, Kinsley, Nora for 22 minutes in the early afternoon.\",\"I talked to Eva, Kinsley, Nora for 22 minutes in the early afternoon.\"\n802,2010/07/14,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n803,2010/07/14,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n804,2010/07/15,I did running on 2010/07/15.,I did running on 2010/07/15.\n805,2010/07/15,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n806,2010/07/15,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n807,2010/07/15,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n808,2010/07/15,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n809,2010/07/16,my parents for their and I went for an annual physical checkup at the hospital on 2010/07/16.,my parents for their and I went for an annual physical checkup at the hospital on 2010/07/16.\n810,2010/07/16,\"I had peanut-butter-jam for breakfast with Lydia, Piper, Layla, Claire, Olivia, Eva, Avery\",\"I had peanut-butter-jam for breakfast with Lydia, Piper, Layla, Claire, Olivia, Eva, Avery\"\n811,2010/07/16,\"I had lunch with Emily, Andrew, Kayden. I ate chinese food.\",\"I had lunch with Emily, Andrew, Kayden. I ate chinese food.\"\n812,2010/07/16,I prepare steak for dinner.,I prepare steak for dinner.\n813,2010/07/16,\"I talked to Olivia, Avery, Piper for 19 minutes in the late afternoon.\",\"I talked to Olivia, Avery, Piper for 19 minutes in the late afternoon.\"\n814,2010/07/16,\"I talked to Rylee, Layla, Olivia for 55 minutes in the late afternoon.\",\"I talked to Rylee, Layla, Olivia for 55 minutes in the late afternoon.\"\n815,2010/07/16,I watched a documentary for 45 minutes on TV today.,I watched a documentary for 45 minutes on TV today.\n816,2010/07/17,\"On 2010/07/17, I took Isabella on a date to a park\",\"On 2010/07/17, I took Isabella on a date to a park\"\n817,2010/07/17,\"I went grocery shopping with Claire, Kinsley, Hazel, Rylee, Avery, Piper, Piper, Eva. I bought some oranges, sports drinks, and paper towel, toilet paper, toothpaste, body lotion\",\"I went grocery shopping with Claire, Kinsley, Hazel, Rylee, Avery, Piper, Piper, Eva. I bought some oranges, sports drinks, and paper towel, toilet paper, toothpaste, body lotion\"\n818,2010/07/17,I did biking on 2010/07/17.,I did biking on 2010/07/17.\n819,2010/07/17,I spent 15 talking to Hazel on various topics in the early afternoon.,I spent 15 talking to Hazel on various topics in the early afternoon.\n820,2010/07/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n821,2010/07/18,\"I had lunch with Eva, Hazel, Claire, Layla, Nevaeh, Rylee. I ate a burger.\",\"I had lunch with Eva, Hazel, Claire, Layla, Nevaeh, Rylee. I ate a burger.\"\n822,2010/07/18,I ate sushi for dinner.,I ate sushi for dinner.\n823,2010/07/19,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n824,2010/07/19,\"I had sushi for lunch with Jackson, Willow, Avery\",\"I had sushi for lunch with Jackson, Willow, Avery\"\n825,2010/07/19,I had fish and chips for dinner with Kayden,I had fish and chips for dinner with Kayden\n826,2010/07/19,\"I talked to Nevaeh, Piper, Nora for 27 minutes during lunch hours.\",\"I talked to Nevaeh, Piper, Nora for 27 minutes during lunch hours.\"\n827,2010/07/19,\"I talked to Nevaeh, Hazel, Kinsley, Eva for 44 minutes in the morning.\",\"I talked to Nevaeh, Hazel, Kinsley, Eva for 44 minutes in the morning.\"\n828,2010/07/19,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n829,2010/07/20,\"I bought some blueberries, tea, apple juice, mineral water, shampoo, shaving cream, facial wash, toothbrush online.\",\"I bought some blueberries, tea, apple juice, mineral water, shampoo, shaving cream, facial wash, toothbrush online.\"\n830,2010/07/20,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n831,2010/07/20,\"I spent 10 talking to Nevaeh, Nora, Eva, Hazel on various topics in the early afternoon.\",\"I spent 10 talking to Nevaeh, Nora, Eva, Hazel on various topics in the early afternoon.\"\n832,2010/07/20,I talked to Avery for 18 minutes during lunch hours.,I talked to Avery for 18 minutes during lunch hours.\n833,2010/07/20,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n834,2010/07/20,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n835,2010/07/21,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n836,2010/07/21,I ate pasta for dinner.,I ate pasta for dinner.\n837,2010/07/22,I went on a date with Alexander on 2010/07/22 at a boba shop,I went on a date with Alexander on 2010/07/22 at a boba shop\n838,2010/07/22,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n839,2010/07/23,\"I had pasta for dinner with Carter, Emily, Kayden\",\"I had pasta for dinner with Carter, Emily, Kayden\"\n840,2010/07/23,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n841,2010/07/23,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n842,2010/07/24,\"I talked to Claire, Piper for 5 minutes in the morning.\",\"I talked to Claire, Piper for 5 minutes in the morning.\"\n843,2010/07/24,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n844,2010/07/24,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n845,2010/07/25,I did running on 2010/07/25.,I did running on 2010/07/25.\n846,2010/07/25,I had sushi for lunch with Willow,I had sushi for lunch with Willow\n847,2010/07/25,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n848,2010/07/25,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n849,2010/07/26,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n850,2010/07/26,\"I talked to Nevaeh, Claire, Lydia, Rylee for 20 minutes in the late afternoon.\",\"I talked to Nevaeh, Claire, Lydia, Rylee for 20 minutes in the late afternoon.\"\n851,2010/07/26,\"I spent 9 talking to Avery, Nora, Nevaeh, Piper on various topics late in the evening.\",\"I spent 9 talking to Avery, Nora, Nevaeh, Piper on various topics late in the evening.\"\n852,2010/07/27,I went on a date with Charles on 2010/07/27 at a boba shop,I went on a date with Charles on 2010/07/27 at a boba shop\n853,2010/07/27,I did swimming on 2010/07/27.,I did swimming on 2010/07/27.\n854,2010/07/27,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n855,2010/07/27,I ate sandwich for dinner.,I ate sandwich for dinner.\n856,2010/07/27,\"I spent 47 talking to Olivia, Kinsley, Piper, Eva on various topics in the early evening.\",\"I spent 47 talking to Olivia, Kinsley, Piper, Eva on various topics in the early evening.\"\n857,2010/07/28,I did HIIT on 2010/07/28.,I did HIIT on 2010/07/28.\n858,2010/07/28,\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate oatmeal.\",\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate oatmeal.\"\n859,2010/07/28,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n860,2010/07/28,I spent 30 talking to Kinsley on various topics during lunch hours.,I spent 30 talking to Kinsley on various topics during lunch hours.\n861,2010/07/28,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n862,2010/07/29,I did hiking on 2010/07/29.,I did hiking on 2010/07/29.\n863,2010/07/29,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n864,2010/07/29,I had lunch. I ate steak.,I had lunch. I ate steak.\n865,2010/07/29,I had indian food for dinner with Kayden,I had indian food for dinner with Kayden\n866,2010/07/29,\"I talked to Piper, Avery, Piper, Nora for 51 minutes in the morning.\",\"I talked to Piper, Avery, Piper, Nora for 51 minutes in the morning.\"\n867,2010/07/29,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n868,2010/07/29,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n869,2010/07/30,I did weight lifting on 2010/07/30.,I did weight lifting on 2010/07/30.\n870,2010/07/30,\"I had lunch with Piper, Nevaeh, Layla. I ate chinese food.\",\"I had lunch with Piper, Nevaeh, Layla. I ate chinese food.\"\n871,2010/07/30,I talked to Nevaeh for 7 minutes late in the evening.,I talked to Nevaeh for 7 minutes late in the evening.\n872,2010/07/30,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n873,2010/07/31,I did weight lifting on 2010/07/31.,I did weight lifting on 2010/07/31.\n874,2010/07/31,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n875,2010/07/31,\"I spent 8 talking to Kinsley, Piper on various topics during lunch hours.\",\"I spent 8 talking to Kinsley, Piper on various topics during lunch hours.\"\n876,2010/07/31,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n877,2010/08/01,I did swimming on 2010/08/01.,I did swimming on 2010/08/01.\n878,2010/08/01,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n879,2010/08/01,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n880,2010/08/02,I did hiking on 2010/08/02.,I did hiking on 2010/08/02.\n881,2010/08/02,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n882,2010/08/02,\"I had lunch with Kayden, Carter, Andrew. I ate indian food.\",\"I had lunch with Kayden, Carter, Andrew. I ate indian food.\"\n883,2010/08/02,I ate sandwich for dinner.,I ate sandwich for dinner.\n884,2010/08/02,I talked to Piper for 29 minutes in the early afternoon.,I talked to Piper for 29 minutes in the early afternoon.\n885,2010/08/02,I watched a documentary for 50 minutes on TV today.,I watched a documentary for 50 minutes on TV today.\n886,2010/08/03,I did HIIT on 2010/08/03.,I did HIIT on 2010/08/03.\n887,2010/08/03,I prepare steak for lunch.,I prepare steak for lunch.\n888,2010/08/03,I ate sushi for dinner.,I ate sushi for dinner.\n889,2010/08/03,I talked to Eva for 52 minutes late in the evening.,I talked to Eva for 52 minutes late in the evening.\n890,2010/08/03,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n891,2010/08/03,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n892,2010/08/04,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n893,2010/08/04,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n894,2010/08/04,\"I spent 23 talking to Nora, Eva, Rylee on various topics in the late afternoon.\",\"I spent 23 talking to Nora, Eva, Rylee on various topics in the late afternoon.\"\n895,2010/08/04,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n896,2010/08/05,\"I bought some apples, raspberries, blackberries, mineral water, toothbrush, toilet paper, toothpaste online.\",\"I bought some apples, raspberries, blackberries, mineral water, toothbrush, toilet paper, toothpaste online.\"\n897,2010/08/05,I did swimming on 2010/08/05.,I did swimming on 2010/08/05.\n898,2010/08/05,\"I had pancakes for breakfast with Emily, Carter, Kayden\",\"I had pancakes for breakfast with Emily, Carter, Kayden\"\n899,2010/08/05,I ate sandwich for lunch.,I ate sandwich for lunch.\n900,2010/08/05,I ate sushi for dinner.,I ate sushi for dinner.\n901,2010/08/05,\"I talked to Olivia, Kinsley, Avery for 36 minutes late in the evening.\",\"I talked to Olivia, Kinsley, Avery for 36 minutes late in the evening.\"\n902,2010/08/06,\"I bought some clementines, mangos, oranges, pineapple juice, soda, mouth wash online.\",\"I bought some clementines, mangos, oranges, pineapple juice, soda, mouth wash online.\"\n903,2010/08/06,\"I had breakfast with Avery, Jackson. I ate toast and cheese.\",\"I had breakfast with Avery, Jackson. I ate toast and cheese.\"\n904,2010/08/06,\"I spent 28 talking to Avery, Layla, Eva on various topics in the early afternoon.\",\"I spent 28 talking to Avery, Layla, Eva on various topics in the early afternoon.\"\n905,2010/08/06,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n906,2010/08/07,I did running on 2010/08/07.,I did running on 2010/08/07.\n907,2010/08/07,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n908,2010/08/07,I had tacos for dinner with Andrew,I had tacos for dinner with Andrew\n909,2010/08/07,\"I spent 50 talking to Hazel, Kinsley, Piper, Avery on various topics during lunch hours.\",\"I spent 50 talking to Hazel, Kinsley, Piper, Avery on various topics during lunch hours.\"\n910,2010/08/07,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n911,2010/08/07,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n912,2010/08/08,I did running on 2010/08/08.,I did running on 2010/08/08.\n913,2010/08/08,I had a burger for dinner with Avery,I had a burger for dinner with Avery\n914,2010/08/08,\"I talked to Lydia, Kinsley, Piper, Rylee for 23 minutes during lunch hours.\",\"I talked to Lydia, Kinsley, Piper, Rylee for 23 minutes during lunch hours.\"\n915,2010/08/08,\"I spent 40 talking to Piper, Rylee, Piper, Lydia on various topics in the late afternoon.\",\"I spent 40 talking to Piper, Rylee, Piper, Lydia on various topics in the late afternoon.\"\n916,2010/08/08,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n917,2010/08/09,I did running on 2010/08/09.,I did running on 2010/08/09.\n918,2010/08/09,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n919,2010/08/09,\"I spent 42 talking to Rylee, Lydia, Claire on various topics in the late afternoon.\",\"I spent 42 talking to Rylee, Lydia, Claire on various topics in the late afternoon.\"\n920,2010/08/09,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n921,2010/08/10,\"I went grocery shopping. I bought some apricots, pineapple juice, and toilet paper, shampoo\",\"I went grocery shopping. I bought some apricots, pineapple juice, and toilet paper, shampoo\"\n922,2010/08/10,I did running on 2010/08/10.,I did running on 2010/08/10.\n923,2010/08/10,\"I had dinner with Carter, Emily. I ate steak.\",\"I had dinner with Carter, Emily. I ate steak.\"\n924,2010/08/10,\"I talked to Piper, Olivia for 31 minutes in the early afternoon.\",\"I talked to Piper, Olivia for 31 minutes in the early afternoon.\"\n925,2010/08/11,I went on a date with Willow on 2010/08/11 at a coffee Shop,I went on a date with Willow on 2010/08/11 at a coffee Shop\n926,2010/08/11,I spent time working out on 2010/08/11 with Rylee.,I spent time working out on 2010/08/11 with Rylee.\n927,2010/08/11,I did swimming on 2010/08/11.,I did swimming on 2010/08/11.\n928,2010/08/11,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n929,2010/08/11,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n930,2010/08/12,\"I had lunch with Jackson, Benjamin. I ate sushi.\",\"I had lunch with Jackson, Benjamin. I ate sushi.\"\n931,2010/08/12,\"I talked to Eva, Piper, Olivia for 21 minutes during lunch hours.\",\"I talked to Eva, Piper, Olivia for 21 minutes during lunch hours.\"\n932,2010/08/12,\"I spent 26 talking to Nora, Claire on various topics in the late afternoon.\",\"I spent 26 talking to Nora, Claire on various topics in the late afternoon.\"\n933,2010/08/12,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n934,2010/08/13,I spent some time learning a language on 2010/08/13.,I spent some time learning a language on 2010/08/13.\n935,2010/08/13,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n936,2010/08/14,\"I bought some pears, mandarins, oranges, coffee, apple juice, orange juice, conditioner, shaving cream from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\",\"I bought some pears, mandarins, oranges, coffee, apple juice, orange juice, conditioner, shaving cream from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\"\n937,2010/08/14,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n938,2010/08/14,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n939,2010/08/14,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n940,2010/08/15,I prepare a burger for dinner.,I prepare a burger for dinner.\n941,2010/08/16,I did hiking on 2010/08/16.,I did hiking on 2010/08/16.\n942,2010/08/16,\"I spent 38 talking to Avery, Claire on various topics in the early evening.\",\"I spent 38 talking to Avery, Claire on various topics in the early evening.\"\n943,2010/08/17,\"I went grocery shopping with Avery, Eva, Rylee, Piper, Kinsley. I bought some cherres, clementines, sports drinks, mango juice, and shaving cream, conditioner, mouth wash\",\"I went grocery shopping with Avery, Eva, Rylee, Piper, Kinsley. I bought some cherres, clementines, sports drinks, mango juice, and shaving cream, conditioner, mouth wash\"\n944,2010/08/17,I did swimming on 2010/08/17.,I did swimming on 2010/08/17.\n945,2010/08/17,\"I had breakfast with Eva, Layla, Claire, Nevaeh, Piper, Olivia, Hazel. I ate pancakes.\",\"I had breakfast with Eva, Layla, Claire, Nevaeh, Piper, Olivia, Hazel. I ate pancakes.\"\n946,2010/08/17,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n947,2010/08/17,\"I spent 32 talking to Olivia, Piper, Rylee on various topics in the morning.\",\"I spent 32 talking to Olivia, Piper, Rylee on various topics in the morning.\"\n948,2010/08/18,I did swimming on 2010/08/18.,I did swimming on 2010/08/18.\n949,2010/08/18,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n950,2010/08/18,I spent 44 talking to Layla on various topics in the morning.,I spent 44 talking to Layla on various topics in the morning.\n951,2010/08/18,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n952,2010/08/18,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n953,2010/08/19,I did hiking on 2010/08/19.,I did hiking on 2010/08/19.\n954,2010/08/19,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n955,2010/08/20,I went for an annual physical checkup on 2010/08/20 at the private clinic.,I went for an annual physical checkup on 2010/08/20 at the private clinic.\n956,2010/08/20,\"I spent time gardening on 2010/08/20 with Benjamin, Jackson, Avery.\",\"I spent time gardening on 2010/08/20 with Benjamin, Jackson, Avery.\"\n957,2010/08/20,\"I had dinner with Eva, Nevaeh, Rylee, Olivia, Nora, Hazel, Lydia, Claire, Piper, Kinsley, Piper, Avery, Layla. I ate sushi.\",\"I had dinner with Eva, Nevaeh, Rylee, Olivia, Nora, Hazel, Lydia, Claire, Piper, Kinsley, Piper, Avery, Layla. I ate sushi.\"\n958,2010/08/20,\"I spent 23 talking to Eva, Claire on various topics during lunch hours.\",\"I spent 23 talking to Eva, Claire on various topics during lunch hours.\"\n959,2010/08/20,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n960,2010/08/21,\"On 2010/08/21, I took David on a date to a park\",\"On 2010/08/21, I took David on a date to a park\"\n961,2010/08/21,I did swimming on 2010/08/21.,I did swimming on 2010/08/21.\n962,2010/08/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n963,2010/08/21,\"I had sandwich for lunch with Andrew, Carter\",\"I had sandwich for lunch with Andrew, Carter\"\n964,2010/08/21,I talked to Piper for 20 minutes in the early evening.,I talked to Piper for 20 minutes in the early evening.\n965,2010/08/21,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n966,2010/08/22,I did biking on 2010/08/22.,I did biking on 2010/08/22.\n967,2010/08/22,I ate cereals for breakfast.,I ate cereals for breakfast.\n968,2010/08/22,I talked to Nora for 29 minutes in the morning.,I talked to Nora for 29 minutes in the morning.\n969,2010/08/23,I did biking on 2010/08/23.,I did biking on 2010/08/23.\n970,2010/08/23,I ate cereals for breakfast.,I ate cereals for breakfast.\n971,2010/08/23,\"I had dinner with Emily, Carter, Kayden. I ate sushi.\",\"I had dinner with Emily, Carter, Kayden. I ate sushi.\"\n972,2010/08/24,I had pasta for lunch with Avery,I had pasta for lunch with Avery\n973,2010/08/24,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n974,2010/08/24,\"I talked to Kinsley, Olivia, Layla, Claire for 21 minutes in the late afternoon.\",\"I talked to Kinsley, Olivia, Layla, Claire for 21 minutes in the late afternoon.\"\n975,2010/08/24,\"I talked to Eva, Hazel, Nora, Nevaeh for 32 minutes in the early afternoon.\",\"I talked to Eva, Hazel, Nora, Nevaeh for 32 minutes in the early afternoon.\"\n976,2010/08/24,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n977,2010/08/25,I prepare a burger for lunch.,I prepare a burger for lunch.\n978,2010/08/25,\"I talked to Kinsley, Hazel, Layla for 17 minutes during lunch hours.\",\"I talked to Kinsley, Hazel, Layla for 17 minutes during lunch hours.\"\n979,2010/08/25,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n980,2010/08/26,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n981,2010/08/26,\"I had indian food for lunch with Eva, Piper, Avery, Layla, Piper\",\"I had indian food for lunch with Eva, Piper, Avery, Layla, Piper\"\n982,2010/08/27,\"I spent time learning a language on 2010/08/27 with Kayden, Emily, Andrew.\",\"I spent time learning a language on 2010/08/27 with Kayden, Emily, Andrew.\"\n983,2010/08/27,I did swimming on 2010/08/27.,I did swimming on 2010/08/27.\n984,2010/08/27,\"I had breakfast with Kayden, Andrew, Carter, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Andrew, Carter, Emily. I ate peanut-butter-jam.\"\n985,2010/08/27,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n986,2010/08/28,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n987,2010/08/28,I had sushi for lunch with Carter,I had sushi for lunch with Carter\n988,2010/08/28,\"I had dinner with Avery, Piper, Claire, Rylee, Nora, Hazel, Kinsley, Nevaeh, Layla, Olivia, Piper. I ate a burger.\",\"I had dinner with Avery, Piper, Claire, Rylee, Nora, Hazel, Kinsley, Nevaeh, Layla, Olivia, Piper. I ate a burger.\"\n989,2010/08/28,I spent 30 talking to Piper on various topics in the early evening.,I spent 30 talking to Piper on various topics in the early evening.\n990,2010/08/29,I did running on 2010/08/29.,I did running on 2010/08/29.\n991,2010/08/29,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n992,2010/08/29,I prepare indian food for dinner.,I prepare indian food for dinner.\n993,2010/08/30,\"I had breakfast with Benjamin, Avery, Willow, Jackson. I ate pancakes.\",\"I had breakfast with Benjamin, Avery, Willow, Jackson. I ate pancakes.\"\n994,2010/08/30,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n995,2010/08/30,\"I spent 33 talking to Nevaeh, Lydia, Olivia on various topics in the late afternoon.\",\"I spent 33 talking to Nevaeh, Lydia, Olivia on various topics in the late afternoon.\"\n996,2010/08/31,\"I went grocery shopping. I bought some strawberries, mangos, coffee, pineapple juice, guava juice, mango juice, and toothbrush, mouthwash\",\"I went grocery shopping. I bought some strawberries, mangos, coffee, pineapple juice, guava juice, mango juice, and toothbrush, mouthwash\"\n997,2010/08/31,I spent 41 talking to Olivia on various topics late in the evening.,I spent 41 talking to Olivia on various topics late in the evening.\n998,2010/08/31,I spent 36 talking to Nora on various topics late in the evening.,I spent 36 talking to Nora on various topics late in the evening.\n999,2010/09/01,I went on a date with Lucas on 2010/09/01 at a coffee Shop,I went on a date with Lucas on 2010/09/01 at a coffee Shop\n1000,2010/09/01,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n1001,2010/09/01,I had steak for lunch with Eva,I had steak for lunch with Eva\n1002,2010/09/01,I had dinner with Emily. I ate tacos.,I had dinner with Emily. I ate tacos.\n1003,2010/09/01,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n1004,2010/09/02,I did hiking on 2010/09/02.,I did hiking on 2010/09/02.\n1005,2010/09/02,I had breakfast with Willow. I ate cereals.,I had breakfast with Willow. I ate cereals.\n1006,2010/09/02,\"I had dinner with Willow, Jackson. I ate tacos.\",\"I had dinner with Willow, Jackson. I ate tacos.\"\n1007,2010/09/02,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n1008,2010/09/03,I did swimming on 2010/09/03.,I did swimming on 2010/09/03.\n1009,2010/09/03,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1010,2010/09/03,\"I talked to Avery, Hazel for 36 minutes during lunch hours.\",\"I talked to Avery, Hazel for 36 minutes during lunch hours.\"\n1011,2010/09/03,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n1012,2010/09/03,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n1013,2010/09/04,I did running on 2010/09/04.,I did running on 2010/09/04.\n1014,2010/09/04,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n1015,2010/09/04,\"I talked to Layla, Olivia, Hazel, Eva for 6 minutes in the morning.\",\"I talked to Layla, Olivia, Hazel, Eva for 6 minutes in the morning.\"\n1016,2010/09/04,\"I spent 15 talking to Nora, Avery, Kinsley on various topics during lunch hours.\",\"I spent 15 talking to Nora, Avery, Kinsley on various topics during lunch hours.\"\n1017,2010/09/04,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n1018,2010/09/05,I did hiking on 2010/09/05.,I did hiking on 2010/09/05.\n1019,2010/09/05,\"I had fish and chips for dinner with Emily, Carter\",\"I had fish and chips for dinner with Emily, Carter\"\n1020,2010/09/05,\"I talked to Layla, Piper, Nevaeh, Kinsley for 44 minutes in the early evening.\",\"I talked to Layla, Piper, Nevaeh, Kinsley for 44 minutes in the early evening.\"\n1021,2010/09/05,\"I talked to Eva, Nevaeh, Piper, Claire for 14 minutes in the early evening.\",\"I talked to Eva, Nevaeh, Piper, Claire for 14 minutes in the early evening.\"\n1022,2010/09/05,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n1023,2010/09/06,I did hiking on 2010/09/06.,I did hiking on 2010/09/06.\n1024,2010/09/06,I spent 44 talking to Rylee on various topics in the early evening.,I spent 44 talking to Rylee on various topics in the early evening.\n1025,2010/09/06,I spent 50 talking to Lydia on various topics in the morning.,I spent 50 talking to Lydia on various topics in the morning.\n1026,2010/09/06,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n1027,2010/09/07,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n1028,2010/09/07,\"I had dinner with Carter, Emily, Kayden, Andrew. I ate indian food.\",\"I had dinner with Carter, Emily, Kayden, Andrew. I ate indian food.\"\n1029,2010/09/07,I spent 12 talking to Hazel on various topics in the early evening.,I spent 12 talking to Hazel on various topics in the early evening.\n1030,2010/09/07,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n1031,2010/09/08,\"I bought some cherres, sports drinks, mango juice, apple juice, guava juice, toothbrush online.\",\"I bought some cherres, sports drinks, mango juice, apple juice, guava juice, toothbrush online.\"\n1032,2010/09/08,I did weight lifting on 2010/09/08.,I did weight lifting on 2010/09/08.\n1033,2010/09/08,\"I had breakfast with Emily, Kayden, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Kayden, Andrew. I ate eggs, sausages, and bread.\"\n1034,2010/09/08,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n1035,2010/09/09,I did HIIT on 2010/09/09.,I did HIIT on 2010/09/09.\n1036,2010/09/09,I ate sandwich for lunch.,I ate sandwich for lunch.\n1037,2010/09/09,I ate steak for dinner.,I ate steak for dinner.\n1038,2010/09/09,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n1039,2010/09/09,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n1040,2010/09/10,I did swimming on 2010/09/10.,I did swimming on 2010/09/10.\n1041,2010/09/10,I spent 21 talking to Eva on various topics late in the evening.,I spent 21 talking to Eva on various topics late in the evening.\n1042,2010/09/10,\"I spent 21 talking to Avery, Layla on various topics in the early afternoon.\",\"I spent 21 talking to Avery, Layla on various topics in the early afternoon.\"\n1043,2010/09/10,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n1044,2010/09/10,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n1045,2010/09/11,I did running on 2010/09/11.,I did running on 2010/09/11.\n1046,2010/09/11,\"I had breakfast with Andrew, Carter. I ate oatmeal.\",\"I had breakfast with Andrew, Carter. I ate oatmeal.\"\n1047,2010/09/11,I had lunch with Carter. I ate a burger.,I had lunch with Carter. I ate a burger.\n1048,2010/09/11,\"I talked to Piper, Eva for 7 minutes in the early afternoon.\",\"I talked to Piper, Eva for 7 minutes in the early afternoon.\"\n1049,2010/09/11,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n1050,2010/09/12,\"I bought some pineapples, watermelons, mango juice, mineral water, milk, shampoo, conditioner, body lotion, toilet paper from the grocery store. I saw Nora, Layla, Kinsley, Rylee, Claire, Hazel at the grocery store.\",\"I bought some pineapples, watermelons, mango juice, mineral water, milk, shampoo, conditioner, body lotion, toilet paper from the grocery store. I saw Nora, Layla, Kinsley, Rylee, Claire, Hazel at the grocery store.\"\n1051,2010/09/12,I prepare tacos for lunch.,I prepare tacos for lunch.\n1052,2010/09/12,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n1053,2010/09/12,\"I talked to Piper, Layla, Claire for 24 minutes in the morning.\",\"I talked to Piper, Layla, Claire for 24 minutes in the morning.\"\n1054,2010/09/12,\"I talked to Avery, Lydia, Kinsley, Nora for 34 minutes during lunch hours.\",\"I talked to Avery, Lydia, Kinsley, Nora for 34 minutes during lunch hours.\"\n1055,2010/09/12,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n1056,2010/09/12,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n1057,2010/09/13,I spent some time learning a language on 2010/09/13.,I spent some time learning a language on 2010/09/13.\n1058,2010/09/13,\"I had breakfast with Hazel, Nevaeh, Layla, Nora, Piper, Lydia, Eva, Claire, Rylee, Kinsley, Olivia. I ate eggs, sausages, and bread.\",\"I had breakfast with Hazel, Nevaeh, Layla, Nora, Piper, Lydia, Eva, Claire, Rylee, Kinsley, Olivia. I ate eggs, sausages, and bread.\"\n1059,2010/09/13,I ate steak for lunch.,I ate steak for lunch.\n1060,2010/09/14,I did running on 2010/09/14.,I did running on 2010/09/14.\n1061,2010/09/14,I spent 34 talking to Nevaeh on various topics in the late afternoon.,I spent 34 talking to Nevaeh on various topics in the late afternoon.\n1062,2010/09/14,\"I talked to Nora, Olivia, Piper, Eva for 6 minutes late in the evening.\",\"I talked to Nora, Olivia, Piper, Eva for 6 minutes late in the evening.\"\n1063,2010/09/14,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n1064,2010/09/14,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n1065,2010/09/15,I went on a date with Daniel on 2010/09/15 at a boba shop,I went on a date with Daniel on 2010/09/15 at a boba shop\n1066,2010/09/15,I did biking on 2010/09/15.,I did biking on 2010/09/15.\n1067,2010/09/15,I talked to Nora for 45 minutes in the early evening.,I talked to Nora for 45 minutes in the early evening.\n1068,2010/09/15,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n1069,2010/09/15,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n1070,2010/09/16,I did biking on 2010/09/16.,I did biking on 2010/09/16.\n1071,2010/09/16,I ate tacos for lunch.,I ate tacos for lunch.\n1072,2010/09/16,\"I spent 37 talking to Claire, Nora, Olivia on various topics during lunch hours.\",\"I spent 37 talking to Claire, Nora, Olivia on various topics during lunch hours.\"\n1073,2010/09/16,\"I spent 48 talking to Kinsley, Piper, Olivia, Eva on various topics in the late afternoon.\",\"I spent 48 talking to Kinsley, Piper, Olivia, Eva on various topics in the late afternoon.\"\n1074,2010/09/16,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n1075,2010/09/16,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n1076,2010/09/17,I did hiking on 2010/09/17.,I did hiking on 2010/09/17.\n1077,2010/09/17,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n1078,2010/09/17,I spent 37 talking to Eva on various topics in the morning.,I spent 37 talking to Eva on various topics in the morning.\n1079,2010/09/18,I went on a date with Hailey on 2010/09/18 at a park,I went on a date with Hailey on 2010/09/18 at a park\n1080,2010/09/18,I did weight lifting on 2010/09/18.,I did weight lifting on 2010/09/18.\n1081,2010/09/18,\"I talked to Olivia, Avery, Rylee, Nevaeh for 19 minutes late in the evening.\",\"I talked to Olivia, Avery, Rylee, Nevaeh for 19 minutes late in the evening.\"\n1082,2010/09/18,\"I talked to Nevaeh, Kinsley, Rylee, Piper for 19 minutes in the late afternoon.\",\"I talked to Nevaeh, Kinsley, Rylee, Piper for 19 minutes in the late afternoon.\"\n1083,2010/09/18,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n1084,2010/09/19,I ate steak for lunch.,I ate steak for lunch.\n1085,2010/09/19,I prepare steak for dinner.,I prepare steak for dinner.\n1086,2010/09/19,\"I talked to Piper, Claire, Nora, Layla for 48 minutes in the early evening.\",\"I talked to Piper, Claire, Nora, Layla for 48 minutes in the early evening.\"\n1087,2010/09/19,\"I talked to Piper, Nevaeh, Eva, Claire for 27 minutes late in the evening.\",\"I talked to Piper, Nevaeh, Eva, Claire for 27 minutes late in the evening.\"\n1088,2010/09/19,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n1089,2010/09/19,I watched news for 28 minutes on TV today.,I watched news for 28 minutes on TV today.\n1090,2010/09/20,\"On 2010/09/20, I took Evelyn on a date to a park\",\"On 2010/09/20, I took Evelyn on a date to a park\"\n1091,2010/09/20,I really enjoyed meditation on 2010/09/20,I really enjoyed meditation on 2010/09/20\n1092,2010/09/20,\"I had breakfast with Kayden, Emily. I ate cereals.\",\"I had breakfast with Kayden, Emily. I ate cereals.\"\n1093,2010/09/21,\"I went grocery shopping with Kayden. I bought some nectarines, oranges, mineral water, guava juice, and conditioner, shaving cream, facial wash, toothpaste\",\"I went grocery shopping with Kayden. I bought some nectarines, oranges, mineral water, guava juice, and conditioner, shaving cream, facial wash, toothpaste\"\n1094,2010/09/21,I did running on 2010/09/21.,I did running on 2010/09/21.\n1095,2010/09/21,\"I had steak for dinner with Nora, Rylee, Claire, Piper, Olivia, Piper\",\"I had steak for dinner with Nora, Rylee, Claire, Piper, Olivia, Piper\"\n1096,2010/09/21,\"I spent 48 talking to Piper, Claire, Lydia, Layla on various topics during lunch hours.\",\"I spent 48 talking to Piper, Claire, Lydia, Layla on various topics during lunch hours.\"\n1097,2010/09/21,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n1098,2010/09/22,I did weight lifting on 2010/09/22.,I did weight lifting on 2010/09/22.\n1099,2010/09/22,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n1100,2010/09/22,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n1101,2010/09/22,\"I talked to Layla, Rylee, Piper for 51 minutes in the early afternoon.\",\"I talked to Layla, Rylee, Piper for 51 minutes in the early afternoon.\"\n1102,2010/09/22,I watched news for 13 minutes on TV today.,I watched news for 13 minutes on TV today.\n1103,2010/09/23,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n1104,2010/09/23,\"I had a burger for dinner with Piper, Rylee, Avery, Layla, Nora\",\"I had a burger for dinner with Piper, Rylee, Avery, Layla, Nora\"\n1105,2010/09/24,I did hiking on 2010/09/24.,I did hiking on 2010/09/24.\n1106,2010/09/24,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n1107,2010/09/24,\"I talked to Piper, Rylee for 27 minutes in the early evening.\",\"I talked to Piper, Rylee for 27 minutes in the early evening.\"\n1108,2010/09/24,\"I spent 23 talking to Piper, Rylee, Olivia on various topics during lunch hours.\",\"I spent 23 talking to Piper, Rylee, Olivia on various topics during lunch hours.\"\n1109,2010/09/25,\"I bought some watermelons, chocolate milk, coffee, pineapple juice, toothbrush online.\",\"I bought some watermelons, chocolate milk, coffee, pineapple juice, toothbrush online.\"\n1110,2010/09/25,I did running on 2010/09/25.,I did running on 2010/09/25.\n1111,2010/09/25,I ate chinese food for dinner.,I ate chinese food for dinner.\n1112,2010/09/25,\"I talked to Lydia, Rylee, Piper, Kinsley for 28 minutes during lunch hours.\",\"I talked to Lydia, Rylee, Piper, Kinsley for 28 minutes during lunch hours.\"\n1113,2010/09/25,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n1114,2010/09/26,I did hiking on 2010/09/26.,I did hiking on 2010/09/26.\n1115,2010/09/26,\"I had cereals for breakfast with Kayden, Carter\",\"I had cereals for breakfast with Kayden, Carter\"\n1116,2010/09/26,\"I had sandwich for dinner with Willow, Jackson, Benjamin, Avery\",\"I had sandwich for dinner with Willow, Jackson, Benjamin, Avery\"\n1117,2010/09/26,\"I spent 20 talking to Lydia, Piper, Hazel, Eva on various topics late in the evening.\",\"I spent 20 talking to Lydia, Piper, Hazel, Eva on various topics late in the evening.\"\n1118,2010/09/26,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n1119,2010/09/27,I did running on 2010/09/27.,I did running on 2010/09/27.\n1120,2010/09/27,\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin\",\"I had eggs, sausages, and bread for breakfast with Willow, Benjamin\"\n1121,2010/09/27,\"I had lunch with Olivia, Piper, Lydia, Eva, Rylee. I ate chinese food.\",\"I had lunch with Olivia, Piper, Lydia, Eva, Rylee. I ate chinese food.\"\n1122,2010/09/27,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n1123,2010/09/28,I went for an annual dental cleaning and checkup on 2010/09/28 at the hospital.,I went for an annual dental cleaning and checkup on 2010/09/28 at the hospital.\n1124,2010/09/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n1125,2010/09/28,I ate chinese food for lunch.,I ate chinese food for lunch.\n1126,2010/09/28,I had dinner with Piper. I ate tacos.,I had dinner with Piper. I ate tacos.\n1127,2010/09/28,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n1128,2010/09/29,I did swimming on 2010/09/29.,I did swimming on 2010/09/29.\n1129,2010/09/29,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n1130,2010/09/29,I had sandwich for lunch with Willow,I had sandwich for lunch with Willow\n1131,2010/09/29,I prepare pasta for dinner.,I prepare pasta for dinner.\n1132,2010/09/29,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n1133,2010/09/30,I went on a date with Xavier on 2010/09/30 at a coffee Shop,I went on a date with Xavier on 2010/09/30 at a coffee Shop\n1134,2010/09/30,\"I spent 38 talking to Nora, Kinsley, Nevaeh on various topics in the early evening.\",\"I spent 38 talking to Nora, Kinsley, Nevaeh on various topics in the early evening.\"\n1135,2010/09/30,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n1136,2010/09/30,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n1137,2010/10/01,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n1138,2010/10/01,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n1139,2010/10/02,\"I went grocery shopping. I bought some clementines, bananas, sports drinks, milk, chocolate milk, and shaving cream, facial wash\",\"I went grocery shopping. I bought some clementines, bananas, sports drinks, milk, chocolate milk, and shaving cream, facial wash\"\n1140,2010/10/02,I did HIIT on 2010/10/02.,I did HIIT on 2010/10/02.\n1141,2010/10/02,I ate a burger for lunch.,I ate a burger for lunch.\n1142,2010/10/02,\"I talked to Rylee, Kinsley for 5 minutes late in the evening.\",\"I talked to Rylee, Kinsley for 5 minutes late in the evening.\"\n1143,2010/10/02,I spent 6 minutes watching a movie on TV today.,I spent 6 minutes watching a movie on TV today.\n1144,2010/10/03,I did weight lifting on 2010/10/03.,I did weight lifting on 2010/10/03.\n1145,2010/10/03,I ate pasta for lunch.,I ate pasta for lunch.\n1146,2010/10/03,\"I talked to Nora, Lydia for 16 minutes in the early evening.\",\"I talked to Nora, Lydia for 16 minutes in the early evening.\"\n1147,2010/10/03,\"I spent 47 talking to Layla, Hazel, Olivia on various topics in the morning.\",\"I spent 47 talking to Layla, Hazel, Olivia on various topics in the morning.\"\n1148,2010/10/04,\"I went grocery shopping. I bought some strawberries, blackberries, mango juice, chocolate milk, and conditioner, toothbrush\",\"I went grocery shopping. I bought some strawberries, blackberries, mango juice, chocolate milk, and conditioner, toothbrush\"\n1149,2010/10/04,\"I had lunch with Andrew, Kayden. I ate pasta.\",\"I had lunch with Andrew, Kayden. I ate pasta.\"\n1150,2010/10/04,\"I had dinner with Carter, Kayden, Andrew. I ate pasta.\",\"I had dinner with Carter, Kayden, Andrew. I ate pasta.\"\n1151,2010/10/04,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n1152,2010/10/04,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n1153,2010/10/05,\"On 2010/10/05, I took Mike on a date to a boba shop\",\"On 2010/10/05, I took Mike on a date to a boba shop\"\n1154,2010/10/05,I had lunch. I ate steak.,I had lunch. I ate steak.\n1155,2010/10/06,\"I had breakfast with Emily, Andrew. I ate pancakes.\",\"I had breakfast with Emily, Andrew. I ate pancakes.\"\n1156,2010/10/06,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n1157,2010/10/06,I spent 35 talking to Hazel on various topics in the morning.,I spent 35 talking to Hazel on various topics in the morning.\n1158,2010/10/06,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n1159,2010/10/06,I spent 20 minutes watching a movie on TV today.,I spent 20 minutes watching a movie on TV today.\n1160,2010/10/07,I did hiking on 2010/10/07.,I did hiking on 2010/10/07.\n1161,2010/10/07,I ate sushi for dinner.,I ate sushi for dinner.\n1162,2010/10/07,\"I talked to Nora, Kinsley, Hazel, Avery for 20 minutes late in the evening.\",\"I talked to Nora, Kinsley, Hazel, Avery for 20 minutes late in the evening.\"\n1163,2010/10/07,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n1164,2010/10/08,I had cereals for breakfast with Emily,I had cereals for breakfast with Emily\n1165,2010/10/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n1166,2010/10/09,I did hiking on 2010/10/09.,I did hiking on 2010/10/09.\n1167,2010/10/09,\"I had lunch with Andrew, Kayden. I ate pasta.\",\"I had lunch with Andrew, Kayden. I ate pasta.\"\n1168,2010/10/09,\"I spent 45 talking to Rylee, Nora on various topics in the early afternoon.\",\"I spent 45 talking to Rylee, Nora on various topics in the early afternoon.\"\n1169,2010/10/09,\"I spent 11 talking to Eva, Avery on various topics during lunch hours.\",\"I spent 11 talking to Eva, Avery on various topics during lunch hours.\"\n1170,2010/10/10,\"I had dinner with Nora, Layla, Rylee, Hazel, Piper, Claire. I ate tacos.\",\"I had dinner with Nora, Layla, Rylee, Hazel, Piper, Claire. I ate tacos.\"\n1171,2010/10/10,\"I spent 39 talking to Nevaeh, Olivia on various topics during lunch hours.\",\"I spent 39 talking to Nevaeh, Olivia on various topics during lunch hours.\"\n1172,2010/10/11,\"I spent time working out on 2010/10/11 with Jackson, Avery.\",\"I spent time working out on 2010/10/11 with Jackson, Avery.\"\n1173,2010/10/11,I did biking on 2010/10/11.,I did biking on 2010/10/11.\n1174,2010/10/11,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n1175,2010/10/12,I did HIIT on 2010/10/12.,I did HIIT on 2010/10/12.\n1176,2010/10/12,\"I talked to Kinsley, Nevaeh for 37 minutes in the morning.\",\"I talked to Kinsley, Nevaeh for 37 minutes in the morning.\"\n1177,2010/10/12,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n1178,2010/10/13,\"I went grocery shopping with Hazel, Kinsley, Lydia, Nora, Eva, Piper, Piper. I bought some mangos, chocolate milk, guava juice, mineral water, milk, and mouth wash, toothbrush, shampoo\",\"I went grocery shopping with Hazel, Kinsley, Lydia, Nora, Eva, Piper, Piper. I bought some mangos, chocolate milk, guava juice, mineral water, milk, and mouth wash, toothbrush, shampoo\"\n1179,2010/10/13,I did weight lifting on 2010/10/13.,I did weight lifting on 2010/10/13.\n1180,2010/10/13,I ate pasta for dinner.,I ate pasta for dinner.\n1181,2010/10/13,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n1182,2010/10/14,I had indian food for dinner with Carter,I had indian food for dinner with Carter\n1183,2010/10/14,\"I talked to Claire, Nora, Kinsley, Rylee for 15 minutes in the late afternoon.\",\"I talked to Claire, Nora, Kinsley, Rylee for 15 minutes in the late afternoon.\"\n1184,2010/10/14,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n1185,2010/10/14,I watched a movie for 20 minutes on TV today.,I watched a movie for 20 minutes on TV today.\n1186,2010/10/15,I spent some time learning a language on 2010/10/15.,I spent some time learning a language on 2010/10/15.\n1187,2010/10/15,\"I bought some blueberries, cherres, mangos, guava juice, soda, facial wash, toothpaste, toilet paper from the grocery store. I saw Kayden, Carter at the grocery store.\",\"I bought some blueberries, cherres, mangos, guava juice, soda, facial wash, toothpaste, toilet paper from the grocery store. I saw Kayden, Carter at the grocery store.\"\n1188,2010/10/15,I did running on 2010/10/15.,I did running on 2010/10/15.\n1189,2010/10/15,I talked to Nevaeh for 15 minutes in the early evening.,I talked to Nevaeh for 15 minutes in the early evening.\n1190,2010/10/15,\"I spent 13 talking to Claire, Nora on various topics in the late afternoon.\",\"I spent 13 talking to Claire, Nora on various topics in the late afternoon.\"\n1191,2010/10/15,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n1192,2010/10/16,I did weight lifting on 2010/10/16.,I did weight lifting on 2010/10/16.\n1193,2010/10/16,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n1194,2010/10/16,I prepare pasta for lunch.,I prepare pasta for lunch.\n1195,2010/10/16,I spent 43 talking to Layla on various topics during lunch hours.,I spent 43 talking to Layla on various topics during lunch hours.\n1196,2010/10/17,\"On 2010/10/17, I took Carson on a date to a coffee Shop\",\"On 2010/10/17, I took Carson on a date to a coffee Shop\"\n1197,2010/10/17,I did HIIT on 2010/10/17.,I did HIIT on 2010/10/17.\n1198,2010/10/17,\"I had breakfast with Piper, Avery, Olivia, Hazel. I ate cereals.\",\"I had breakfast with Piper, Avery, Olivia, Hazel. I ate cereals.\"\n1199,2010/10/17,\"I talked to Olivia, Claire for 16 minutes in the early evening.\",\"I talked to Olivia, Claire for 16 minutes in the early evening.\"\n1200,2010/10/17,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n1201,2010/10/18,\"I had toast and cheese for breakfast with Avery, Benjamin, Jackson, Willow\",\"I had toast and cheese for breakfast with Avery, Benjamin, Jackson, Willow\"\n1202,2010/10/18,I ate pasta for dinner.,I ate pasta for dinner.\n1203,2010/10/18,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n1204,2010/10/19,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n1205,2010/10/19,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n1206,2010/10/20,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n1207,2010/10/20,\"I had dinner with Claire, Kinsley, Olivia, Nevaeh, Piper, Lydia, Avery, Hazel, Layla, Piper, Rylee. I ate indian food.\",\"I had dinner with Claire, Kinsley, Olivia, Nevaeh, Piper, Lydia, Avery, Hazel, Layla, Piper, Rylee. I ate indian food.\"\n1208,2010/10/20,\"I talked to Avery, Claire for 9 minutes in the late afternoon.\",\"I talked to Avery, Claire for 9 minutes in the late afternoon.\"\n1209,2010/10/20,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n1210,2010/10/20,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n1211,2010/10/21,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n1212,2010/10/21,\"I had dinner with Eva, Lydia, Piper, Claire, Rylee, Layla, Avery, Piper, Nora. I ate sushi.\",\"I had dinner with Eva, Lydia, Piper, Claire, Rylee, Layla, Avery, Piper, Nora. I ate sushi.\"\n1213,2010/10/21,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n1214,2010/10/21,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n1215,2010/10/22,I did swimming on 2010/10/22.,I did swimming on 2010/10/22.\n1216,2010/10/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n1217,2010/10/22,\"I talked to Olivia, Piper, Eva for 48 minutes in the early afternoon.\",\"I talked to Olivia, Piper, Eva for 48 minutes in the early afternoon.\"\n1218,2010/10/22,\"I spent 42 talking to Eva, Rylee, Nevaeh on various topics in the late afternoon.\",\"I spent 42 talking to Eva, Rylee, Nevaeh on various topics in the late afternoon.\"\n1219,2010/10/23,\"I bought some clementines, strawberries, cherres, guava juice, toilet paper from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\",\"I bought some clementines, strawberries, cherres, guava juice, toilet paper from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\"\n1220,2010/10/23,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n1221,2010/10/23,I ate indian food for lunch.,I ate indian food for lunch.\n1222,2010/10/23,\"I had indian food for dinner with Andrew, Carter, Emily, Kayden\",\"I had indian food for dinner with Andrew, Carter, Emily, Kayden\"\n1223,2010/10/23,\"I talked to Eva, Kinsley, Piper, Piper for 20 minutes in the morning.\",\"I talked to Eva, Kinsley, Piper, Piper for 20 minutes in the morning.\"\n1224,2010/10/23,\"I spent 44 talking to Hazel, Piper, Layla, Eva on various topics in the late afternoon.\",\"I spent 44 talking to Hazel, Piper, Layla, Eva on various topics in the late afternoon.\"\n1225,2010/10/23,I spent 41 minutes watching a movie on TV today.,I spent 41 minutes watching a movie on TV today.\n1226,2010/10/24,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n1227,2010/10/24,I spent 9 talking to Piper on various topics in the late afternoon.,I spent 9 talking to Piper on various topics in the late afternoon.\n1228,2010/10/24,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n1229,2010/10/25,I did running on 2010/10/25.,I did running on 2010/10/25.\n1230,2010/10/25,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n1231,2010/10/25,I spent 37 talking to Nora on various topics in the early afternoon.,I spent 37 talking to Nora on various topics in the early afternoon.\n1232,2010/10/26,I did swimming on 2010/10/26.,I did swimming on 2010/10/26.\n1233,2010/10/26,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n1234,2010/10/27,\"I went grocery shopping. I bought some apricots, apples, blueberries, pears, chocolate milk, and toothpaste\",\"I went grocery shopping. I bought some apricots, apples, blueberries, pears, chocolate milk, and toothpaste\"\n1235,2010/10/27,\"I had breakfast with Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter. I ate eggs, sausages, and bread.\"\n1236,2010/10/27,\"I talked to Eva, Kinsley for 37 minutes late in the evening.\",\"I talked to Eva, Kinsley for 37 minutes late in the evening.\"\n1237,2010/10/27,\"I talked to Kinsley, Claire for 46 minutes late in the evening.\",\"I talked to Kinsley, Claire for 46 minutes late in the evening.\"\n1238,2010/10/27,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n1239,2010/10/28,\"On 2010/10/28, I took Brooklyn on a date to a restaurant\",\"On 2010/10/28, I took Brooklyn on a date to a restaurant\"\n1240,2010/10/28,\"I had dinner with Emily, Carter. I ate a burger.\",\"I had dinner with Emily, Carter. I ate a burger.\"\n1241,2010/10/28,\"I talked to Kinsley, Nora, Hazel for 48 minutes during lunch hours.\",\"I talked to Kinsley, Nora, Hazel for 48 minutes during lunch hours.\"\n1242,2010/10/28,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n1243,2010/10/29,\"I went grocery shopping. I bought some cherres, nectarines, raspberries, chocolate milk, coffee, orange juice, and paper towel, toothpaste, toothbrush, shaving cream\",\"I went grocery shopping. I bought some cherres, nectarines, raspberries, chocolate milk, coffee, orange juice, and paper towel, toothpaste, toothbrush, shaving cream\"\n1244,2010/10/29,I did HIIT on 2010/10/29.,I did HIIT on 2010/10/29.\n1245,2010/10/29,\"I had oatmeal for breakfast with Nevaeh, Rylee, Avery, Layla, Olivia, Kinsley\",\"I had oatmeal for breakfast with Nevaeh, Rylee, Avery, Layla, Olivia, Kinsley\"\n1246,2010/10/29,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n1247,2010/10/30,I did hiking on 2010/10/30.,I did hiking on 2010/10/30.\n1248,2010/10/30,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n1249,2010/10/30,\"I had dinner with Carter, Emily, Andrew. I ate fish and chips.\",\"I had dinner with Carter, Emily, Andrew. I ate fish and chips.\"\n1250,2010/10/30,\"I talked to Piper, Hazel, Lydia, Avery for 33 minutes in the morning.\",\"I talked to Piper, Hazel, Lydia, Avery for 33 minutes in the morning.\"\n1251,2010/10/30,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n1252,2010/10/31,I did weight lifting on 2010/10/31.,I did weight lifting on 2010/10/31.\n1253,2010/10/31,I prepare pasta for dinner.,I prepare pasta for dinner.\n1254,2010/10/31,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n1255,2010/10/31,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n1256,2010/11/01,I ate a burger for lunch.,I ate a burger for lunch.\n1257,2010/11/01,I ate chinese food for dinner.,I ate chinese food for dinner.\n1258,2010/11/01,I spent 47 talking to Kinsley on various topics in the early afternoon.,I spent 47 talking to Kinsley on various topics in the early afternoon.\n1259,2010/11/01,\"I spent 47 talking to Piper, Lydia, Layla on various topics late in the evening.\",\"I spent 47 talking to Piper, Lydia, Layla on various topics late in the evening.\"\n1260,2010/11/01,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n1261,2010/11/01,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n1262,2010/11/02,\"I went grocery shopping. I bought some pineapples, apple juice, and body lotion, toothbrush\",\"I went grocery shopping. I bought some pineapples, apple juice, and body lotion, toothbrush\"\n1263,2010/11/02,I ate steak for lunch.,I ate steak for lunch.\n1264,2010/11/02,\"I talked to Lydia, Piper, Hazel, Kinsley for 24 minutes in the morning.\",\"I talked to Lydia, Piper, Hazel, Kinsley for 24 minutes in the morning.\"\n1265,2010/11/02,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n1266,2010/11/03,\"I had eggs, sausages, and bread for breakfast with Jackson\",\"I had eggs, sausages, and bread for breakfast with Jackson\"\n1267,2010/11/03,I prepare steak for dinner.,I prepare steak for dinner.\n1268,2010/11/03,\"I talked to Olivia, Nevaeh for 47 minutes in the early evening.\",\"I talked to Olivia, Nevaeh for 47 minutes in the early evening.\"\n1269,2010/11/03,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n1270,2010/11/03,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n1271,2010/11/04,I did running on 2010/11/04.,I did running on 2010/11/04.\n1272,2010/11/04,\"I had peanut-butter-jam for breakfast with Kinsley, Piper, Nevaeh, Piper, Lydia, Avery, Nora, Olivia, Hazel, Rylee, Layla, Claire, Eva\",\"I had peanut-butter-jam for breakfast with Kinsley, Piper, Nevaeh, Piper, Lydia, Avery, Nora, Olivia, Hazel, Rylee, Layla, Claire, Eva\"\n1273,2010/11/04,\"I had lunch with Kayden, Andrew. I ate a burger.\",\"I had lunch with Kayden, Andrew. I ate a burger.\"\n1274,2010/11/04,I ate sushi for dinner.,I ate sushi for dinner.\n1275,2010/11/04,\"I spent 48 talking to Eva, Piper, Olivia on various topics in the morning.\",\"I spent 48 talking to Eva, Piper, Olivia on various topics in the morning.\"\n1276,2010/11/05,I really enjoyed learning a language on 2010/11/05,I really enjoyed learning a language on 2010/11/05\n1277,2010/11/05,I did HIIT on 2010/11/05.,I did HIIT on 2010/11/05.\n1278,2010/11/05,I ate steak for lunch.,I ate steak for lunch.\n1279,2010/11/05,\"I talked to Piper, Olivia, Hazel, Avery for 38 minutes late in the evening.\",\"I talked to Piper, Olivia, Hazel, Avery for 38 minutes late in the evening.\"\n1280,2010/11/06,\"I bought some mangos, tea, pineapple juice, body lotion, mouth wash, conditioner from the grocery store. I saw Jackson, Benjamin, Willow at the grocery store.\",\"I bought some mangos, tea, pineapple juice, body lotion, mouth wash, conditioner from the grocery store. I saw Jackson, Benjamin, Willow at the grocery store.\"\n1281,2010/11/06,I did weight lifting on 2010/11/06.,I did weight lifting on 2010/11/06.\n1282,2010/11/06,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n1283,2010/11/06,I ate sushi for lunch.,I ate sushi for lunch.\n1284,2010/11/06,\"I had dinner with Kayden, Carter, Andrew. I ate sandwich.\",\"I had dinner with Kayden, Carter, Andrew. I ate sandwich.\"\n1285,2010/11/06,\"I talked to Claire, Hazel for 10 minutes in the morning.\",\"I talked to Claire, Hazel for 10 minutes in the morning.\"\n1286,2010/11/06,\"I talked to Rylee, Hazel, Kinsley, Layla for 37 minutes in the late afternoon.\",\"I talked to Rylee, Hazel, Kinsley, Layla for 37 minutes in the late afternoon.\"\n1287,2010/11/06,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n1288,2010/11/07,I did HIIT on 2010/11/07.,I did HIIT on 2010/11/07.\n1289,2010/11/07,I had breakfast with Andrew. I ate pancakes.,I had breakfast with Andrew. I ate pancakes.\n1290,2010/11/07,\"I had pasta for dinner with Emily, Kayden, Andrew\",\"I had pasta for dinner with Emily, Kayden, Andrew\"\n1291,2010/11/07,\"I spent 45 talking to Hazel, Layla, Nevaeh on various topics in the morning.\",\"I spent 45 talking to Hazel, Layla, Nevaeh on various topics in the morning.\"\n1292,2010/11/08,\"I talked to Hazel, Lydia, Rylee, Avery for 48 minutes during lunch hours.\",\"I talked to Hazel, Lydia, Rylee, Avery for 48 minutes during lunch hours.\"\n1293,2010/11/08,\"I spent 55 talking to Hazel, Kinsley, Lydia on various topics in the morning.\",\"I spent 55 talking to Hazel, Kinsley, Lydia on various topics in the morning.\"\n1294,2010/11/09,\"I had sandwich for lunch with Benjamin, Avery, Willow, Jackson\",\"I had sandwich for lunch with Benjamin, Avery, Willow, Jackson\"\n1295,2010/11/09,I had dinner with Jackson. I ate sushi.,I had dinner with Jackson. I ate sushi.\n1296,2010/11/09,\"I spent 54 talking to Nevaeh, Kinsley, Rylee, Nora on various topics in the early afternoon.\",\"I spent 54 talking to Nevaeh, Kinsley, Rylee, Nora on various topics in the early afternoon.\"\n1297,2010/11/09,\"I spent 52 talking to Rylee, Kinsley, Lydia on various topics late in the evening.\",\"I spent 52 talking to Rylee, Kinsley, Lydia on various topics late in the evening.\"\n1298,2010/11/10,\"I bought some clementines, nectarines, pears, oranges, chocolate milk, milk, mouth wash online.\",\"I bought some clementines, nectarines, pears, oranges, chocolate milk, milk, mouth wash online.\"\n1299,2010/11/10,I did HIIT on 2010/11/10.,I did HIIT on 2010/11/10.\n1300,2010/11/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n1301,2010/11/10,\"I had dinner with Layla, Olivia. I ate chinese food.\",\"I had dinner with Layla, Olivia. I ate chinese food.\"\n1302,2010/11/10,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n1303,2010/11/11,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n1304,2010/11/12,I did hiking on 2010/11/12.,I did hiking on 2010/11/12.\n1305,2010/11/12,I prepare sushi for lunch.,I prepare sushi for lunch.\n1306,2010/11/12,I ate a burger for dinner.,I ate a burger for dinner.\n1307,2010/11/12,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n1308,2010/11/12,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n1309,2010/11/13,I spent time meditation on 2010/11/13 with Piper.,I spent time meditation on 2010/11/13 with Piper.\n1310,2010/11/13,I did hiking on 2010/11/13.,I did hiking on 2010/11/13.\n1311,2010/11/13,\"I had cereals for breakfast with Rylee, Piper, Olivia, Layla, Nora, Claire, Hazel, Eva\",\"I had cereals for breakfast with Rylee, Piper, Olivia, Layla, Nora, Claire, Hazel, Eva\"\n1312,2010/11/13,I had lunch with Emily. I ate sandwich.,I had lunch with Emily. I ate sandwich.\n1313,2010/11/13,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n1314,2010/11/14,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n1315,2010/11/15,I ate cereals for breakfast.,I ate cereals for breakfast.\n1316,2010/11/15,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n1317,2010/11/15,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n1318,2010/11/16,\"I went grocery shopping. I bought some cherres, strawberries, bananas, pineapples, soda, guava juice, and shampoo\",\"I went grocery shopping. I bought some cherres, strawberries, bananas, pineapples, soda, guava juice, and shampoo\"\n1319,2010/11/16,I did hiking on 2010/11/16.,I did hiking on 2010/11/16.\n1320,2010/11/16,\"I had indian food for lunch with Avery, Kinsley, Lydia\",\"I had indian food for lunch with Avery, Kinsley, Lydia\"\n1321,2010/11/16,\"I spent 20 talking to Piper, Nevaeh, Eva on various topics during lunch hours.\",\"I spent 20 talking to Piper, Nevaeh, Eva on various topics during lunch hours.\"\n1322,2010/11/16,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n1323,2010/11/17,\"I had breakfast with Andrew, Carter, Kayden. I ate oatmeal.\",\"I had breakfast with Andrew, Carter, Kayden. I ate oatmeal.\"\n1324,2010/11/17,\"I had dinner with Carter, Andrew, Emily. I ate pasta.\",\"I had dinner with Carter, Andrew, Emily. I ate pasta.\"\n1325,2010/11/18,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1326,2010/11/18,\"I had steak for lunch with Andrew, Carter, Emily, Kayden\",\"I had steak for lunch with Andrew, Carter, Emily, Kayden\"\n1327,2010/11/18,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n1328,2010/11/18,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n1329,2010/11/18,I watched a tv series for 14 minutes on TV today.,I watched a tv series for 14 minutes on TV today.\n1330,2010/11/19,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n1331,2010/11/19,\"I talked to Avery, Kinsley, Lydia for 20 minutes in the late afternoon.\",\"I talked to Avery, Kinsley, Lydia for 20 minutes in the late afternoon.\"\n1332,2010/11/19,\"I spent 40 talking to Layla, Piper on various topics in the early afternoon.\",\"I spent 40 talking to Layla, Piper on various topics in the early afternoon.\"\n1333,2010/11/19,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n1334,2010/11/20,I did HIIT on 2010/11/20.,I did HIIT on 2010/11/20.\n1335,2010/11/20,\"I had lunch with Kayden, Emily, Carter. I ate tacos.\",\"I had lunch with Kayden, Emily, Carter. I ate tacos.\"\n1336,2010/11/20,\"I talked to Kinsley, Lydia for 46 minutes late in the evening.\",\"I talked to Kinsley, Lydia for 46 minutes late in the evening.\"\n1337,2010/11/20,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n1338,2010/11/21,I did HIIT on 2010/11/21.,I did HIIT on 2010/11/21.\n1339,2010/11/21,\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Emily\",\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Emily\"\n1340,2010/11/21,I ate tacos for lunch.,I ate tacos for lunch.\n1341,2010/11/21,I ate sandwich for dinner.,I ate sandwich for dinner.\n1342,2010/11/21,\"I talked to Claire, Hazel, Rylee for 31 minutes in the early afternoon.\",\"I talked to Claire, Hazel, Rylee for 31 minutes in the early afternoon.\"\n1343,2010/11/21,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n1344,2010/11/22,I did hiking on 2010/11/22.,I did hiking on 2010/11/22.\n1345,2010/11/22,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n1346,2010/11/22,I prepare tacos for lunch.,I prepare tacos for lunch.\n1347,2010/11/22,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n1348,2010/11/22,\"I talked to Piper, Kinsley, Olivia for 34 minutes in the early afternoon.\",\"I talked to Piper, Kinsley, Olivia for 34 minutes in the early afternoon.\"\n1349,2010/11/23,I did running on 2010/11/23.,I did running on 2010/11/23.\n1350,2010/11/23,\"I had breakfast with Andrew, Emily, Carter, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Emily, Carter, Kayden. I ate peanut-butter-jam.\"\n1351,2010/11/23,\"I had dinner with Rylee, Nora, Eva, Olivia, Avery, Nevaeh, Lydia. I ate sushi.\",\"I had dinner with Rylee, Nora, Eva, Olivia, Avery, Nevaeh, Lydia. I ate sushi.\"\n1352,2010/11/23,\"I talked to Nevaeh, Avery, Claire, Kinsley for 17 minutes in the morning.\",\"I talked to Nevaeh, Avery, Claire, Kinsley for 17 minutes in the morning.\"\n1353,2010/11/23,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n1354,2010/11/23,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n1355,2010/11/24,I ate steak for dinner.,I ate steak for dinner.\n1356,2010/11/25,\"I had oatmeal for breakfast with Emily, Carter, Andrew, Kayden\",\"I had oatmeal for breakfast with Emily, Carter, Andrew, Kayden\"\n1357,2010/11/25,I had sandwich for dinner with Carter,I had sandwich for dinner with Carter\n1358,2010/11/25,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n1359,2010/11/26,I did running on 2010/11/26.,I did running on 2010/11/26.\n1360,2010/11/26,I prepare pasta for lunch.,I prepare pasta for lunch.\n1361,2010/11/26,I spent 40 talking to Claire on various topics during lunch hours.,I spent 40 talking to Claire on various topics during lunch hours.\n1362,2010/11/26,I spent 19 talking to Piper on various topics in the early afternoon.,I spent 19 talking to Piper on various topics in the early afternoon.\n1363,2010/11/26,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n1364,2010/11/26,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n1365,2010/11/27,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n1366,2010/11/27,I ate a burger for dinner.,I ate a burger for dinner.\n1367,2010/11/27,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n1368,2010/11/27,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n1369,2010/11/28,\"I bought some apples, orange juice, mouth wash online.\",\"I bought some apples, orange juice, mouth wash online.\"\n1370,2010/11/28,I did running on 2010/11/28.,I did running on 2010/11/28.\n1371,2010/11/28,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n1372,2010/11/28,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n1373,2010/11/29,I went on a date with Austin on 2010/11/29 at a boba shop,I went on a date with Austin on 2010/11/29 at a boba shop\n1374,2010/11/29,I did swimming on 2010/11/29.,I did swimming on 2010/11/29.\n1375,2010/11/29,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n1376,2010/11/29,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n1377,2010/11/29,I spent 33 talking to Nevaeh on various topics late in the evening.,I spent 33 talking to Nevaeh on various topics late in the evening.\n1378,2010/11/29,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n1379,2010/11/29,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n1380,2010/11/30,\"I had peanut-butter-jam for breakfast with Avery, Piper, Nevaeh, Olivia, Claire, Lydia, Hazel, Eva, Nora, Piper, Kinsley\",\"I had peanut-butter-jam for breakfast with Avery, Piper, Nevaeh, Olivia, Claire, Lydia, Hazel, Eva, Nora, Piper, Kinsley\"\n1381,2010/11/30,\"I had pasta for dinner with Eva, Rylee, Lydia, Kinsley, Olivia, Layla, Nevaeh, Claire, Piper, Hazel, Avery\",\"I had pasta for dinner with Eva, Rylee, Lydia, Kinsley, Olivia, Layla, Nevaeh, Claire, Piper, Hazel, Avery\"\n1382,2010/11/30,\"I talked to Olivia, Hazel for 15 minutes late in the evening.\",\"I talked to Olivia, Hazel for 15 minutes late in the evening.\"\n1383,2010/12/01,\"I had pasta for lunch with Kayden, Emily, Andrew, Carter\",\"I had pasta for lunch with Kayden, Emily, Andrew, Carter\"\n1384,2010/12/01,\"I had tacos for dinner with Eva, Olivia, Layla, Piper, Claire, Rylee, Lydia, Avery, Piper, Nora\",\"I had tacos for dinner with Eva, Olivia, Layla, Piper, Claire, Rylee, Lydia, Avery, Piper, Nora\"\n1385,2010/12/01,\"I talked to Nora, Layla for 19 minutes in the late afternoon.\",\"I talked to Nora, Layla for 19 minutes in the late afternoon.\"\n1386,2010/12/02,I did hiking on 2010/12/02.,I did hiking on 2010/12/02.\n1387,2010/12/02,\"I had eggs, sausages, and bread for breakfast with Emily\",\"I had eggs, sausages, and bread for breakfast with Emily\"\n1388,2010/12/02,I talked to Lydia for 52 minutes late in the evening.,I talked to Lydia for 52 minutes late in the evening.\n1389,2010/12/03,I did HIIT on 2010/12/03.,I did HIIT on 2010/12/03.\n1390,2010/12/03,I talked to Claire for 15 minutes during lunch hours.,I talked to Claire for 15 minutes during lunch hours.\n1391,2010/12/03,\"I talked to Piper, Piper, Lydia for 32 minutes in the early evening.\",\"I talked to Piper, Piper, Lydia for 32 minutes in the early evening.\"\n1392,2010/12/03,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n1393,2010/12/04,\"I spent 33 talking to Nora, Hazel on various topics late in the evening.\",\"I spent 33 talking to Nora, Hazel on various topics late in the evening.\"\n1394,2010/12/04,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n1395,2010/12/05,I did weight lifting on 2010/12/05.,I did weight lifting on 2010/12/05.\n1396,2010/12/05,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n1397,2010/12/05,\"I talked to Kinsley, Lydia, Nora for 5 minutes in the morning.\",\"I talked to Kinsley, Lydia, Nora for 5 minutes in the morning.\"\n1398,2010/12/05,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n1399,2010/12/05,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n1400,2010/12/06,I prepare steak for lunch.,I prepare steak for lunch.\n1401,2010/12/06,\"I had dinner with Rylee, Kinsley, Nevaeh, Piper, Eva, Nora, Avery. I ate a burger.\",\"I had dinner with Rylee, Kinsley, Nevaeh, Piper, Eva, Nora, Avery. I ate a burger.\"\n1402,2010/12/06,\"I talked to Piper, Eva, Lydia for 47 minutes during lunch hours.\",\"I talked to Piper, Eva, Lydia for 47 minutes during lunch hours.\"\n1403,2010/12/06,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n1404,2010/12/06,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n1405,2010/12/07,\"On 2010/12/07, I took Autumn on a date to a coffee Shop\",\"On 2010/12/07, I took Autumn on a date to a coffee Shop\"\n1406,2010/12/07,\"I went grocery shopping. I bought some pears, oranges, mineral water, chocolate milk, and toilet paper, facial wash, paper towel\",\"I went grocery shopping. I bought some pears, oranges, mineral water, chocolate milk, and toilet paper, facial wash, paper towel\"\n1407,2010/12/07,I did swimming on 2010/12/07.,I did swimming on 2010/12/07.\n1408,2010/12/07,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n1409,2010/12/07,\"I had fish and chips for dinner with Andrew, Kayden\",\"I had fish and chips for dinner with Andrew, Kayden\"\n1410,2010/12/07,I talked to Piper for 48 minutes in the early evening.,I talked to Piper for 48 minutes in the early evening.\n1411,2010/12/07,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n1412,2010/12/08,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n1413,2010/12/08,\"I had lunch with Avery, Benjamin, Jackson, Willow. I ate chinese food.\",\"I had lunch with Avery, Benjamin, Jackson, Willow. I ate chinese food.\"\n1414,2010/12/09,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n1415,2010/12/09,I prepare steak for lunch.,I prepare steak for lunch.\n1416,2010/12/09,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n1417,2010/12/09,I spent 43 minutes watching news on TV today.,I spent 43 minutes watching news on TV today.\n1418,2010/12/10,I did running on 2010/12/10.,I did running on 2010/12/10.\n1419,2010/12/10,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n1420,2010/12/10,\"I talked to Kinsley, Layla for 5 minutes in the early evening.\",\"I talked to Kinsley, Layla for 5 minutes in the early evening.\"\n1421,2010/12/10,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n1422,2010/12/10,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n1423,2010/12/11,\"I had oatmeal for breakfast with Benjamin, Avery, Jackson, Willow\",\"I had oatmeal for breakfast with Benjamin, Avery, Jackson, Willow\"\n1424,2010/12/11,I prepare tacos for lunch.,I prepare tacos for lunch.\n1425,2010/12/11,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n1426,2010/12/11,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n1427,2010/12/11,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n1428,2010/12/12,\"I had breakfast with Andrew, Carter, Emily, Kayden. I ate oatmeal.\",\"I had breakfast with Andrew, Carter, Emily, Kayden. I ate oatmeal.\"\n1429,2010/12/12,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n1430,2010/12/13,\"I had peanut-butter-jam for breakfast with Lydia, Layla, Avery, Rylee\",\"I had peanut-butter-jam for breakfast with Lydia, Layla, Avery, Rylee\"\n1431,2010/12/13,I prepare sushi for dinner.,I prepare sushi for dinner.\n1432,2010/12/13,\"I spent 30 talking to Piper, Nevaeh, Avery on various topics in the morning.\",\"I spent 30 talking to Piper, Nevaeh, Avery on various topics in the morning.\"\n1433,2010/12/13,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n1434,2010/12/14,I did running on 2010/12/14.,I did running on 2010/12/14.\n1435,2010/12/14,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n1436,2010/12/14,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n1437,2010/12/14,I ate indian food for dinner.,I ate indian food for dinner.\n1438,2010/12/14,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n1439,2010/12/15,I really enjoyed learning a language on 2010/12/15,I really enjoyed learning a language on 2010/12/15\n1440,2010/12/15,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1441,2010/12/15,\"I had lunch with Nora, Piper, Lydia, Nevaeh, Hazel, Layla, Piper, Claire, Kinsley, Avery, Olivia, Rylee, Eva. I ate sushi.\",\"I had lunch with Nora, Piper, Lydia, Nevaeh, Hazel, Layla, Piper, Claire, Kinsley, Avery, Olivia, Rylee, Eva. I ate sushi.\"\n1442,2010/12/15,I prepare pasta for dinner.,I prepare pasta for dinner.\n1443,2010/12/15,\"I talked to Claire, Layla for 33 minutes during lunch hours.\",\"I talked to Claire, Layla for 33 minutes during lunch hours.\"\n1444,2010/12/15,\"I talked to Layla, Lydia for 47 minutes during lunch hours.\",\"I talked to Layla, Lydia for 47 minutes during lunch hours.\"\n1445,2010/12/15,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n1446,2010/12/16,I ate pasta for lunch.,I ate pasta for lunch.\n1447,2010/12/16,I prepare tacos for dinner.,I prepare tacos for dinner.\n1448,2010/12/16,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n1449,2010/12/17,\"I bought some apricots, blackberries, oranges, pears, mango juice, paper towel online.\",\"I bought some apricots, blackberries, oranges, pears, mango juice, paper towel online.\"\n1450,2010/12/17,I ate a burger for lunch.,I ate a burger for lunch.\n1451,2010/12/17,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n1452,2010/12/17,I spent 40 talking to Lydia on various topics in the late afternoon.,I spent 40 talking to Lydia on various topics in the late afternoon.\n1453,2010/12/17,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n1454,2010/12/17,I watched a documentary for 29 minutes on TV today.,I watched a documentary for 29 minutes on TV today.\n1455,2010/12/18,I did weight lifting on 2010/12/18.,I did weight lifting on 2010/12/18.\n1456,2010/12/18,\"I had sandwich for lunch with Benjamin, Willow\",\"I had sandwich for lunch with Benjamin, Willow\"\n1457,2010/12/18,\"I spent 49 talking to Claire, Eva, Lydia, Olivia on various topics in the morning.\",\"I spent 49 talking to Claire, Eva, Lydia, Olivia on various topics in the morning.\"\n1458,2010/12/18,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n1459,2010/12/19,I had dinner with Carter. I ate sandwich.,I had dinner with Carter. I ate sandwich.\n1460,2010/12/19,\"I spent 21 talking to Hazel, Claire, Nevaeh, Rylee on various topics in the morning.\",\"I spent 21 talking to Hazel, Claire, Nevaeh, Rylee on various topics in the morning.\"\n1461,2010/12/19,\"I talked to Olivia, Eva for 23 minutes during lunch hours.\",\"I talked to Olivia, Eva for 23 minutes during lunch hours.\"\n1462,2010/12/19,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n1463,2010/12/19,I watched a documentary for 36 minutes on TV today.,I watched a documentary for 36 minutes on TV today.\n1464,2010/12/20,I did HIIT on 2010/12/20.,I did HIIT on 2010/12/20.\n1465,2010/12/20,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n1466,2010/12/20,\"I had dinner with Kayden, Andrew, Emily. I ate chinese food.\",\"I had dinner with Kayden, Andrew, Emily. I ate chinese food.\"\n1467,2010/12/20,\"I spent 13 talking to Avery, Layla, Nora, Claire on various topics in the late afternoon.\",\"I spent 13 talking to Avery, Layla, Nora, Claire on various topics in the late afternoon.\"\n1468,2010/12/20,I watched a documentary for 29 minutes on TV today.,I watched a documentary for 29 minutes on TV today.\n1469,2010/12/21,I did HIIT on 2010/12/21.,I did HIIT on 2010/12/21.\n1470,2010/12/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n1471,2010/12/21,I prepare sushi for dinner.,I prepare sushi for dinner.\n1472,2010/12/21,I spent 21 talking to Rylee on various topics in the early evening.,I spent 21 talking to Rylee on various topics in the early evening.\n1473,2010/12/21,\"I talked to Claire, Rylee, Piper, Layla for 47 minutes in the early afternoon.\",\"I talked to Claire, Rylee, Piper, Layla for 47 minutes in the early afternoon.\"\n1474,2010/12/22,I went on a date with Maverick on 2010/12/22 at a park,I went on a date with Maverick on 2010/12/22 at a park\n1475,2010/12/22,\"I bought some blackberries, strawberries, orange juice, milk, apple juice, soda, toilet paper, conditioner, body lotion, mouth wash online.\",\"I bought some blackberries, strawberries, orange juice, milk, apple juice, soda, toilet paper, conditioner, body lotion, mouth wash online.\"\n1476,2010/12/22,I did swimming on 2010/12/22.,I did swimming on 2010/12/22.\n1477,2010/12/22,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n1478,2010/12/22,\"I spent 5 talking to Lydia, Olivia, Nora on various topics late in the evening.\",\"I spent 5 talking to Lydia, Olivia, Nora on various topics late in the evening.\"\n1479,2010/12/22,\"I talked to Claire, Nevaeh, Hazel, Lydia for 54 minutes during lunch hours.\",\"I talked to Claire, Nevaeh, Hazel, Lydia for 54 minutes during lunch hours.\"\n1480,2010/12/22,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n1481,2010/12/22,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n1482,2010/12/23,\"I had dinner with Avery, Lydia, Rylee, Nora, Piper, Layla, Eva, Piper, Hazel, Olivia, Kinsley, Claire, Nevaeh. I ate indian food.\",\"I had dinner with Avery, Lydia, Rylee, Nora, Piper, Layla, Eva, Piper, Hazel, Olivia, Kinsley, Claire, Nevaeh. I ate indian food.\"\n1483,2010/12/23,\"I talked to Claire, Kinsley, Olivia for 37 minutes late in the evening.\",\"I talked to Claire, Kinsley, Olivia for 37 minutes late in the evening.\"\n1484,2010/12/23,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n1485,2010/12/24,\"I had pasta for lunch with Kayden, Carter, Andrew, Emily\",\"I had pasta for lunch with Kayden, Carter, Andrew, Emily\"\n1486,2010/12/24,I talked to Rylee for 7 minutes during lunch hours.,I talked to Rylee for 7 minutes during lunch hours.\n1487,2010/12/24,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n1488,2010/12/25,I prepare pasta for lunch.,I prepare pasta for lunch.\n1489,2010/12/25,\"I had dinner with Emily, Carter. I ate sushi.\",\"I had dinner with Emily, Carter. I ate sushi.\"\n1490,2010/12/25,\"I spent 27 talking to Nevaeh, Kinsley on various topics in the early afternoon.\",\"I spent 27 talking to Nevaeh, Kinsley on various topics in the early afternoon.\"\n1491,2010/12/25,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n1492,2010/12/25,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n1493,2010/12/26,I did swimming on 2010/12/26.,I did swimming on 2010/12/26.\n1494,2010/12/26,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n1495,2010/12/26,I prepare sushi for lunch.,I prepare sushi for lunch.\n1496,2010/12/26,I prepare indian food for dinner.,I prepare indian food for dinner.\n1497,2010/12/26,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n1498,2010/12/27,I had lunch with Kayden. I ate tacos.,I had lunch with Kayden. I ate tacos.\n1499,2010/12/27,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n1500,2010/12/28,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n1501,2010/12/29,\"I went grocery shopping with Claire, Layla, Lydia. I bought some strawberries, blueberries, apricots, coffee, and paper towel\",\"I went grocery shopping with Claire, Layla, Lydia. I bought some strawberries, blueberries, apricots, coffee, and paper towel\"\n1502,2010/12/29,I did swimming on 2010/12/29.,I did swimming on 2010/12/29.\n1503,2010/12/29,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n1504,2010/12/29,\"I talked to Avery, Hazel for 45 minutes in the morning.\",\"I talked to Avery, Hazel for 45 minutes in the morning.\"\n1505,2010/12/29,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n1506,2010/12/29,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n1507,2010/12/30,I did swimming on 2010/12/30.,I did swimming on 2010/12/30.\n1508,2010/12/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n1509,2010/12/30,I had indian food for lunch with Carter,I had indian food for lunch with Carter\n1510,2010/12/31,\"I bought some apples, pineapples, cherres, peaches, guava juice, body lotion, paper towel from the grocery store. I saw Kayden, Emily, Carter at the grocery store.\",\"I bought some apples, pineapples, cherres, peaches, guava juice, body lotion, paper towel from the grocery store. I saw Kayden, Emily, Carter at the grocery store.\"\n1511,2010/12/31,I prepare pasta for lunch.,I prepare pasta for lunch.\n1512,2010/12/31,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n1513,2011/01/01,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n1514,2011/01/01,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n1515,2011/01/01,I ate sushi for lunch.,I ate sushi for lunch.\n1516,2011/01/01,\"I had a burger for dinner with Rylee, Hazel, Layla, Eva, Piper\",\"I had a burger for dinner with Rylee, Hazel, Layla, Eva, Piper\"\n1517,2011/01/01,I talked to Kinsley for 27 minutes in the early evening.,I talked to Kinsley for 27 minutes in the early evening.\n1518,2011/01/02,\"I had pancakes for breakfast with Kayden, Carter, Andrew\",\"I had pancakes for breakfast with Kayden, Carter, Andrew\"\n1519,2011/01/02,I ate steak for dinner.,I ate steak for dinner.\n1520,2011/01/02,\"I spent 20 talking to Claire, Avery, Piper, Olivia on various topics during lunch hours.\",\"I spent 20 talking to Claire, Avery, Piper, Olivia on various topics during lunch hours.\"\n1521,2011/01/02,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n1522,2011/01/03,I had sushi for lunch with Kinsley,I had sushi for lunch with Kinsley\n1523,2011/01/03,\"I spent 46 talking to Claire, Piper, Piper on various topics late in the evening.\",\"I spent 46 talking to Claire, Piper, Piper on various topics late in the evening.\"\n1524,2011/01/03,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n1525,2011/01/03,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n1526,2011/01/04,\"On 2011/01/04, I took Dylan on a date to a park\",\"On 2011/01/04, I took Dylan on a date to a park\"\n1527,2011/01/04,I did HIIT on 2011/01/04.,I did HIIT on 2011/01/04.\n1528,2011/01/04,I talked to Olivia for 6 minutes in the early evening.,I talked to Olivia for 6 minutes in the early evening.\n1529,2011/01/04,\"I spent 40 talking to Hazel, Eva, Rylee on various topics late in the evening.\",\"I spent 40 talking to Hazel, Eva, Rylee on various topics late in the evening.\"\n1530,2011/01/04,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n1531,2011/01/05,I did swimming on 2011/01/05.,I did swimming on 2011/01/05.\n1532,2011/01/05,I prepare sushi for lunch.,I prepare sushi for lunch.\n1533,2011/01/05,I talked to Rylee for 35 minutes in the late afternoon.,I talked to Rylee for 35 minutes in the late afternoon.\n1534,2011/01/05,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n1535,2011/01/06,\"I spent time meditation on 2011/01/06 with Emily, Andrew, Carter.\",\"I spent time meditation on 2011/01/06 with Emily, Andrew, Carter.\"\n1536,2011/01/06,I did HIIT on 2011/01/06.,I did HIIT on 2011/01/06.\n1537,2011/01/06,I had sushi for lunch with Carter,I had sushi for lunch with Carter\n1538,2011/01/06,I ate steak for dinner.,I ate steak for dinner.\n1539,2011/01/06,\"I talked to Nora, Piper, Claire, Nevaeh for 7 minutes in the morning.\",\"I talked to Nora, Piper, Claire, Nevaeh for 7 minutes in the morning.\"\n1540,2011/01/06,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n1541,2011/01/06,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n1542,2011/01/07,I had breakfast with Kayden. I ate peanut-butter-jam.,I had breakfast with Kayden. I ate peanut-butter-jam.\n1543,2011/01/07,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n1544,2011/01/07,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n1545,2011/01/07,\"I talked to Lydia, Olivia for 15 minutes during lunch hours.\",\"I talked to Lydia, Olivia for 15 minutes during lunch hours.\"\n1546,2011/01/07,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n1547,2011/01/07,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n1548,2011/01/08,\"I had breakfast with Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily. I ate eggs, sausages, and bread.\"\n1549,2011/01/08,\"I had lunch with Carter, Emily, Kayden. I ate indian food.\",\"I had lunch with Carter, Emily, Kayden. I ate indian food.\"\n1550,2011/01/08,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n1551,2011/01/09,I did hiking on 2011/01/09.,I did hiking on 2011/01/09.\n1552,2011/01/09,I ate chinese food for lunch.,I ate chinese food for lunch.\n1553,2011/01/09,I had dinner with Kayden. I ate sandwich.,I had dinner with Kayden. I ate sandwich.\n1554,2011/01/09,\"I spent 42 talking to Piper, Avery on various topics in the early afternoon.\",\"I spent 42 talking to Piper, Avery on various topics in the early afternoon.\"\n1555,2011/01/09,I talked to Hazel for 22 minutes during lunch hours.,I talked to Hazel for 22 minutes during lunch hours.\n1556,2011/01/09,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n1557,2011/01/10,I ate sushi for lunch.,I ate sushi for lunch.\n1558,2011/01/10,\"I talked to Nora, Hazel for 55 minutes late in the evening.\",\"I talked to Nora, Hazel for 55 minutes late in the evening.\"\n1559,2011/01/10,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n1560,2011/01/10,I watched news for 52 minutes on TV today.,I watched news for 52 minutes on TV today.\n1561,2011/01/11,I spent time learning a language on 2011/01/11 with Piper.,I spent time learning a language on 2011/01/11 with Piper.\n1562,2011/01/11,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n1563,2011/01/11,\"I talked to Eva, Avery, Lydia, Hazel for 32 minutes in the late afternoon.\",\"I talked to Eva, Avery, Lydia, Hazel for 32 minutes in the late afternoon.\"\n1564,2011/01/12,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n1565,2011/01/13,I did swimming on 2011/01/13.,I did swimming on 2011/01/13.\n1566,2011/01/13,\"I had oatmeal for breakfast with Lydia, Layla\",\"I had oatmeal for breakfast with Lydia, Layla\"\n1567,2011/01/13,\"I had lunch with Benjamin, Willow, Jackson, Avery. I ate tacos.\",\"I had lunch with Benjamin, Willow, Jackson, Avery. I ate tacos.\"\n1568,2011/01/13,\"I spent 42 talking to Claire, Eva on various topics during lunch hours.\",\"I spent 42 talking to Claire, Eva on various topics during lunch hours.\"\n1569,2011/01/13,\"I spent 23 talking to Rylee, Eva, Piper, Kinsley on various topics in the late afternoon.\",\"I spent 23 talking to Rylee, Eva, Piper, Kinsley on various topics in the late afternoon.\"\n1570,2011/01/13,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n1571,2011/01/14,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n1572,2011/01/14,\"I had indian food for lunch with Kinsley, Hazel, Rylee, Olivia, Nora, Avery, Piper, Piper, Nevaeh, Claire, Layla\",\"I had indian food for lunch with Kinsley, Hazel, Rylee, Olivia, Nora, Avery, Piper, Piper, Nevaeh, Claire, Layla\"\n1573,2011/01/14,\"I talked to Eva, Lydia for 30 minutes in the early evening.\",\"I talked to Eva, Lydia for 30 minutes in the early evening.\"\n1574,2011/01/14,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n1575,2011/01/15,\"I talked to Hazel, Nora, Kinsley, Rylee for 34 minutes in the late afternoon.\",\"I talked to Hazel, Nora, Kinsley, Rylee for 34 minutes in the late afternoon.\"\n1576,2011/01/15,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n1577,2011/01/16,\"I bought some peaches, tea, coffee, body lotion from the grocery store. I saw Willow at the grocery store.\",\"I bought some peaches, tea, coffee, body lotion from the grocery store. I saw Willow at the grocery store.\"\n1578,2011/01/16,I had lunch. I ate steak.,I had lunch. I ate steak.\n1579,2011/01/16,\"I talked to Olivia, Hazel, Piper, Eva for 33 minutes in the morning.\",\"I talked to Olivia, Hazel, Piper, Eva for 33 minutes in the morning.\"\n1580,2011/01/16,\"I spent 19 talking to Nevaeh, Eva on various topics in the late afternoon.\",\"I spent 19 talking to Nevaeh, Eva on various topics in the late afternoon.\"\n1581,2011/01/16,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n1582,2011/01/16,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n1583,2011/01/17,\"I had peanut-butter-jam for breakfast with Avery, Willow, Jackson, Benjamin\",\"I had peanut-butter-jam for breakfast with Avery, Willow, Jackson, Benjamin\"\n1584,2011/01/17,\"I had a burger for lunch with Benjamin, Avery, Willow, Jackson\",\"I had a burger for lunch with Benjamin, Avery, Willow, Jackson\"\n1585,2011/01/17,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n1586,2011/01/17,\"I talked to Nevaeh, Eva, Avery for 12 minutes in the late afternoon.\",\"I talked to Nevaeh, Eva, Avery for 12 minutes in the late afternoon.\"\n1587,2011/01/17,\"I talked to Piper, Nora for 29 minutes in the morning.\",\"I talked to Piper, Nora for 29 minutes in the morning.\"\n1588,2011/01/17,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n1589,2011/01/18,\"I spent 18 talking to Nevaeh, Piper, Eva, Claire on various topics during lunch hours.\",\"I spent 18 talking to Nevaeh, Piper, Eva, Claire on various topics during lunch hours.\"\n1590,2011/01/18,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n1591,2011/01/19,I did biking on 2011/01/19.,I did biking on 2011/01/19.\n1592,2011/01/19,I ate indian food for dinner.,I ate indian food for dinner.\n1593,2011/01/19,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n1594,2011/01/20,I did biking on 2011/01/20.,I did biking on 2011/01/20.\n1595,2011/01/21,I did HIIT on 2011/01/21.,I did HIIT on 2011/01/21.\n1596,2011/01/21,\"I spent 45 talking to Piper, Eva, Kinsley, Avery on various topics during lunch hours.\",\"I spent 45 talking to Piper, Eva, Kinsley, Avery on various topics during lunch hours.\"\n1597,2011/01/22,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n1598,2011/01/22,\"I talked to Hazel, Avery for 16 minutes during lunch hours.\",\"I talked to Hazel, Avery for 16 minutes during lunch hours.\"\n1599,2011/01/22,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n1600,2011/01/23,I did HIIT on 2011/01/23.,I did HIIT on 2011/01/23.\n1601,2011/01/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1602,2011/01/23,\"I spent 37 talking to Nevaeh, Piper, Layla, Rylee on various topics in the late afternoon.\",\"I spent 37 talking to Nevaeh, Piper, Layla, Rylee on various topics in the late afternoon.\"\n1603,2011/01/23,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n1604,2011/01/23,I spent 35 minutes watching a movie on TV today.,I spent 35 minutes watching a movie on TV today.\n1605,2011/01/24,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n1606,2011/01/24,\"I talked to Layla, Avery, Nevaeh for 41 minutes in the early afternoon.\",\"I talked to Layla, Avery, Nevaeh for 41 minutes in the early afternoon.\"\n1607,2011/01/25,I did swimming on 2011/01/25.,I did swimming on 2011/01/25.\n1608,2011/01/25,\"I had peanut-butter-jam for breakfast with Carter, Andrew\",\"I had peanut-butter-jam for breakfast with Carter, Andrew\"\n1609,2011/01/25,\"I spent 8 talking to Rylee, Nora, Hazel on various topics in the morning.\",\"I spent 8 talking to Rylee, Nora, Hazel on various topics in the morning.\"\n1610,2011/01/25,\"I talked to Kinsley, Layla, Claire for 42 minutes during lunch hours.\",\"I talked to Kinsley, Layla, Claire for 42 minutes during lunch hours.\"\n1611,2011/01/25,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n1612,2011/01/25,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n1613,2011/01/26,\"I had breakfast with Claire, Hazel, Nora, Nevaeh, Piper, Avery, Eva, Kinsley, Piper, Lydia, Layla, Rylee. I ate oatmeal.\",\"I had breakfast with Claire, Hazel, Nora, Nevaeh, Piper, Avery, Eva, Kinsley, Piper, Lydia, Layla, Rylee. I ate oatmeal.\"\n1614,2011/01/26,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n1615,2011/01/26,\"I spent 26 talking to Nora, Olivia, Piper, Avery on various topics in the early afternoon.\",\"I spent 26 talking to Nora, Olivia, Piper, Avery on various topics in the early afternoon.\"\n1616,2011/01/26,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n1617,2011/01/27,I did biking on 2011/01/27.,I did biking on 2011/01/27.\n1618,2011/01/27,I prepare a burger for lunch.,I prepare a burger for lunch.\n1619,2011/01/27,\"I had dinner with Carter, Kayden, Emily. I ate sushi.\",\"I had dinner with Carter, Kayden, Emily. I ate sushi.\"\n1620,2011/01/27,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n1621,2011/01/28,I did biking on 2011/01/28.,I did biking on 2011/01/28.\n1622,2011/01/28,\"I had dinner with Lydia, Nevaeh, Claire, Hazel, Piper, Rylee, Layla, Olivia, Avery, Nora. I ate chinese food.\",\"I had dinner with Lydia, Nevaeh, Claire, Hazel, Piper, Rylee, Layla, Olivia, Avery, Nora. I ate chinese food.\"\n1623,2011/01/28,\"I spent 27 talking to Nevaeh, Piper, Avery on various topics in the late afternoon.\",\"I spent 27 talking to Nevaeh, Piper, Avery on various topics in the late afternoon.\"\n1624,2011/01/28,I spent 15 talking to Hazel on various topics late in the evening.,I spent 15 talking to Hazel on various topics late in the evening.\n1625,2011/01/28,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n1626,2011/01/28,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n1627,2011/01/29,I spent some time working out on 2011/01/29.,I spent some time working out on 2011/01/29.\n1628,2011/01/29,\"I went grocery shopping. I bought some mangos, watermelons, blackberries, pineapples, apple juice, mango juice, and toilet paper, conditioner\",\"I went grocery shopping. I bought some mangos, watermelons, blackberries, pineapples, apple juice, mango juice, and toilet paper, conditioner\"\n1629,2011/01/29,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1630,2011/01/29,\"I had sandwich for lunch with Olivia, Nevaeh, Layla, Kinsley, Nora\",\"I had sandwich for lunch with Olivia, Nevaeh, Layla, Kinsley, Nora\"\n1631,2011/01/29,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n1632,2011/01/29,\"I talked to Nevaeh, Layla, Kinsley for 13 minutes in the late afternoon.\",\"I talked to Nevaeh, Layla, Kinsley for 13 minutes in the late afternoon.\"\n1633,2011/01/30,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n1634,2011/01/30,I talked to Avery for 50 minutes during lunch hours.,I talked to Avery for 50 minutes during lunch hours.\n1635,2011/01/30,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n1636,2011/01/31,\"I had breakfast with Kayden, Andrew, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Andrew, Carter. I ate peanut-butter-jam.\"\n1637,2011/01/31,I ate steak for dinner.,I ate steak for dinner.\n1638,2011/01/31,I spent 29 talking to Piper on various topics during lunch hours.,I spent 29 talking to Piper on various topics during lunch hours.\n1639,2011/01/31,\"I spent 52 talking to Hazel, Olivia on various topics in the early evening.\",\"I spent 52 talking to Hazel, Olivia on various topics in the early evening.\"\n1640,2011/01/31,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n1641,2011/01/31,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n1642,2011/02/01,I did hiking on 2011/02/01.,I did hiking on 2011/02/01.\n1643,2011/02/01,I talked to Avery for 38 minutes during lunch hours.,I talked to Avery for 38 minutes during lunch hours.\n1644,2011/02/01,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n1645,2011/02/02,\"I went grocery shopping. I bought some raspberries, watermelons, mandarins, guava juice, and shampoo, toilet paper, conditioner, toothpaste\",\"I went grocery shopping. I bought some raspberries, watermelons, mandarins, guava juice, and shampoo, toilet paper, conditioner, toothpaste\"\n1646,2011/02/02,I did biking on 2011/02/02.,I did biking on 2011/02/02.\n1647,2011/02/02,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n1648,2011/02/02,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n1649,2011/02/02,\"I talked to Claire, Nora, Nevaeh, Hazel for 29 minutes in the late afternoon.\",\"I talked to Claire, Nora, Nevaeh, Hazel for 29 minutes in the late afternoon.\"\n1650,2011/02/02,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n1651,2011/02/03,I did biking on 2011/02/03.,I did biking on 2011/02/03.\n1652,2011/02/03,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n1653,2011/02/04,\"I had pasta for lunch with Hazel, Piper, Olivia, Layla, Lydia, Kinsley, Piper, Nora\",\"I had pasta for lunch with Hazel, Piper, Olivia, Layla, Lydia, Kinsley, Piper, Nora\"\n1654,2011/02/04,I prepare tacos for dinner.,I prepare tacos for dinner.\n1655,2011/02/04,\"I talked to Nora, Piper, Rylee for 6 minutes late in the evening.\",\"I talked to Nora, Piper, Rylee for 6 minutes late in the evening.\"\n1656,2011/02/04,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n1657,2011/02/05,I prepare a burger for lunch.,I prepare a burger for lunch.\n1658,2011/02/05,\"I spent 39 talking to Nora, Lydia, Eva, Kinsley on various topics during lunch hours.\",\"I spent 39 talking to Nora, Lydia, Eva, Kinsley on various topics during lunch hours.\"\n1659,2011/02/06,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1660,2011/02/06,I ate tacos for lunch.,I ate tacos for lunch.\n1661,2011/02/06,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n1662,2011/02/06,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n1663,2011/02/07,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n1664,2011/02/07,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n1665,2011/02/07,\"I had steak for dinner with Carter, Emily, Andrew\",\"I had steak for dinner with Carter, Emily, Andrew\"\n1666,2011/02/07,\"I talked to Eva, Claire, Avery, Piper for 30 minutes in the morning.\",\"I talked to Eva, Claire, Avery, Piper for 30 minutes in the morning.\"\n1667,2011/02/07,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n1668,2011/02/08,\"I went grocery shopping. I bought some apples, pineapples, strawberries, apricots, sports drinks, and facial wash, toilet paper, toothbrush\",\"I went grocery shopping. I bought some apples, pineapples, strawberries, apricots, sports drinks, and facial wash, toilet paper, toothbrush\"\n1669,2011/02/08,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n1670,2011/02/08,\"I talked to Piper, Lydia for 23 minutes in the early afternoon.\",\"I talked to Piper, Lydia for 23 minutes in the early afternoon.\"\n1671,2011/02/08,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n1672,2011/02/08,I watched news for 15 minutes on TV today.,I watched news for 15 minutes on TV today.\n1673,2011/02/09,\"I spent 38 talking to Claire, Piper, Avery, Kinsley on various topics in the late afternoon.\",\"I spent 38 talking to Claire, Piper, Avery, Kinsley on various topics in the late afternoon.\"\n1674,2011/02/09,\"I spent 29 talking to Olivia, Avery, Nevaeh, Rylee on various topics late in the evening.\",\"I spent 29 talking to Olivia, Avery, Nevaeh, Rylee on various topics late in the evening.\"\n1675,2011/02/09,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n1676,2011/02/10,I did weight lifting on 2011/02/10.,I did weight lifting on 2011/02/10.\n1677,2011/02/10,\"I had oatmeal for breakfast with Kinsley, Nora, Hazel, Avery\",\"I had oatmeal for breakfast with Kinsley, Nora, Hazel, Avery\"\n1678,2011/02/10,\"I spent 47 talking to Piper, Lydia on various topics in the morning.\",\"I spent 47 talking to Piper, Lydia on various topics in the morning.\"\n1679,2011/02/10,\"I talked to Piper, Claire for 32 minutes in the early evening.\",\"I talked to Piper, Claire for 32 minutes in the early evening.\"\n1680,2011/02/11,\"I had pancakes for breakfast with Avery, Kinsley, Layla, Lydia, Olivia, Claire, Hazel, Rylee, Piper, Nevaeh, Piper, Eva, Nora\",\"I had pancakes for breakfast with Avery, Kinsley, Layla, Lydia, Olivia, Claire, Hazel, Rylee, Piper, Nevaeh, Piper, Eva, Nora\"\n1681,2011/02/11,\"I had dinner with Carter, Emily, Andrew, Kayden. I ate indian food.\",\"I had dinner with Carter, Emily, Andrew, Kayden. I ate indian food.\"\n1682,2011/02/11,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n1683,2011/02/12,\"On 2011/02/12, I took Cora on a date to a boba shop\",\"On 2011/02/12, I took Cora on a date to a boba shop\"\n1684,2011/02/12,I did HIIT on 2011/02/12.,I did HIIT on 2011/02/12.\n1685,2011/02/12,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n1686,2011/02/12,\"I had sandwich for lunch with Carter, Kayden\",\"I had sandwich for lunch with Carter, Kayden\"\n1687,2011/02/12,I prepare sushi for dinner.,I prepare sushi for dinner.\n1688,2011/02/12,\"I spent 5 talking to Rylee, Hazel on various topics in the early evening.\",\"I spent 5 talking to Rylee, Hazel on various topics in the early evening.\"\n1689,2011/02/13,I did biking on 2011/02/13.,I did biking on 2011/02/13.\n1690,2011/02/13,I prepare steak for lunch.,I prepare steak for lunch.\n1691,2011/02/13,\"I had chinese food for dinner with Kayden, Carter\",\"I had chinese food for dinner with Kayden, Carter\"\n1692,2011/02/13,\"I talked to Olivia, Nora, Claire for 54 minutes late in the evening.\",\"I talked to Olivia, Nora, Claire for 54 minutes late in the evening.\"\n1693,2011/02/13,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n1694,2011/02/14,\"On 2011/02/14 Kayden, Emily and I went to Shanghai, China together for 13 days \",\"On 2011/02/14 Kayden, Emily and I went to Shanghai, China together for 13 days \"\n1695,2011/02/14,\"I had lunch with Avery, Jackson, Benjamin, Willow. I ate sushi.\",\"I had lunch with Avery, Jackson, Benjamin, Willow. I ate sushi.\"\n1696,2011/02/14,\"I talked to Hazel, Lydia for 38 minutes in the early afternoon.\",\"I talked to Hazel, Lydia for 38 minutes in the early afternoon.\"\n1697,2011/02/14,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n1698,2011/02/15,\"I ate Italian food at Fangbang Xi Lu with Kayden, Emily on  2011/02/15 when I was in Shanghai, China.\",\"I ate Italian food at Fangbang Xi Lu with Kayden, Emily on  2011/02/15 when I was in Shanghai, China.\"\n1699,2011/02/15,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n1700,2011/02/15,I prepare a burger for lunch.,I prepare a burger for lunch.\n1701,2011/02/15,\"I had indian food for dinner with Rylee, Hazel, Lydia, Eva, Olivia, Piper, Piper, Claire, Kinsley, Avery, Nevaeh, Layla, Nora\",\"I had indian food for dinner with Rylee, Hazel, Lydia, Eva, Olivia, Piper, Piper, Claire, Kinsley, Avery, Nevaeh, Layla, Nora\"\n1702,2011/02/15,\"I spent 25 talking to Layla, Rylee on various topics during lunch hours.\",\"I spent 25 talking to Layla, Rylee on various topics during lunch hours.\"\n1703,2011/02/15,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n1704,2011/02/16,\"I ate Indian food at Fangbang Xi Lu with Kayden, Emily on  2011/02/16 when I was in Shanghai, China.\",\"I ate Indian food at Fangbang Xi Lu with Kayden, Emily on  2011/02/16 when I was in Shanghai, China.\"\n1705,2011/02/16,\"On 2011/02/16, I took Hazel on a date to a restaurant\",\"On 2011/02/16, I took Hazel on a date to a restaurant\"\n1706,2011/02/16,I ate sushi for dinner.,I ate sushi for dinner.\n1707,2011/02/16,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n1708,2011/02/17,\"I ate Italian food at South Bund Fabric Market with Kayden, Emily on  2011/02/17 when I was in Shanghai, China.\",\"I ate Italian food at South Bund Fabric Market with Kayden, Emily on  2011/02/17 when I was in Shanghai, China.\"\n1709,2011/02/17,I ate chinese food for dinner.,I ate chinese food for dinner.\n1710,2011/02/17,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n1711,2011/02/18,\"I ate Italian food at Fangbang Xi Lu with Kayden, Emily on  2011/02/18 when I was in Shanghai, China.\",\"I ate Italian food at Fangbang Xi Lu with Kayden, Emily on  2011/02/18 when I was in Shanghai, China.\"\n1712,2011/02/18,\"I had lunch with Piper, Nora, Nevaeh, Kinsley, Claire. I ate fish and chips.\",\"I had lunch with Piper, Nora, Nevaeh, Kinsley, Claire. I ate fish and chips.\"\n1713,2011/02/18,I spent 45 talking to Hazel on various topics in the early afternoon.,I spent 45 talking to Hazel on various topics in the early afternoon.\n1714,2011/02/18,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n1715,2011/02/19,\"I ate street food at South Bund Fabric Market with Kayden, Emily on  2011/02/19 when I was in Shanghai, China.\",\"I ate street food at South Bund Fabric Market with Kayden, Emily on  2011/02/19 when I was in Shanghai, China.\"\n1716,2011/02/19,\"On 2011/02/19, I took Joseph on a date to a coffee Shop\",\"On 2011/02/19, I took Joseph on a date to a coffee Shop\"\n1717,2011/02/19,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n1718,2011/02/19,\"I had pasta for lunch with Eva, Lydia, Avery, Piper, Olivia, Layla, Nora, Hazel\",\"I had pasta for lunch with Eva, Lydia, Avery, Piper, Olivia, Layla, Nora, Hazel\"\n1719,2011/02/19,\"I talked to Piper, Hazel, Nora for 13 minutes in the early evening.\",\"I talked to Piper, Hazel, Nora for 13 minutes in the early evening.\"\n1720,2011/02/20,\"I ate Japanese food at Yuyuan Lu junction with Kayden, Emily on  2011/02/20 when I was in Shanghai, China.\",\"I ate Japanese food at Yuyuan Lu junction with Kayden, Emily on  2011/02/20 when I was in Shanghai, China.\"\n1721,2011/02/20,I prepare steak for dinner.,I prepare steak for dinner.\n1722,2011/02/20,I talked to Lydia for 5 minutes in the early evening.,I talked to Lydia for 5 minutes in the early evening.\n1723,2011/02/20,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n1724,2011/02/21,\"I went grocery shopping. I bought some oranges, mangos, pineapples, cherres, chocolate milk, guava juice, and mouthwash, mouth wash, facial wash\",\"I went grocery shopping. I bought some oranges, mangos, pineapples, cherres, chocolate milk, guava juice, and mouthwash, mouth wash, facial wash\"\n1725,2011/02/21,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n1726,2011/02/21,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n1727,2011/02/21,I talked to Nevaeh for 55 minutes in the late afternoon.,I talked to Nevaeh for 55 minutes in the late afternoon.\n1728,2011/02/21,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n1729,2011/02/22,\"I ate Indian food at Wanhangdu Lu junction with Kayden, Emily on  2011/02/22 when I was in Shanghai, China.\",\"I ate Indian food at Wanhangdu Lu junction with Kayden, Emily on  2011/02/22 when I was in Shanghai, China.\"\n1730,2011/02/22,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n1731,2011/02/22,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n1732,2011/02/23,\"I ate Chinese food at South Bund Fabric Market with Kayden, Emily on  2011/02/23 when I was in Shanghai, China.\",\"I ate Chinese food at South Bund Fabric Market with Kayden, Emily on  2011/02/23 when I was in Shanghai, China.\"\n1733,2011/02/23,\"I had pancakes for breakfast with Andrew, Kayden, Emily\",\"I had pancakes for breakfast with Andrew, Kayden, Emily\"\n1734,2011/02/23,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n1735,2011/02/23,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n1736,2011/02/24,\"I ate local food at South Bund Fabric Market with Kayden, Emily on  2011/02/24 when I was in Shanghai, China.\",\"I ate local food at South Bund Fabric Market with Kayden, Emily on  2011/02/24 when I was in Shanghai, China.\"\n1737,2011/02/24,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n1738,2011/02/25,I had lunch with Emily. I ate steak.,I had lunch with Emily. I ate steak.\n1739,2011/02/25,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n1740,2011/02/26,\"I ate Indian food at Yuyuan Lu junction with Kayden, Emily on  2011/02/26 when I was in Shanghai, China.\",\"I ate Indian food at Yuyuan Lu junction with Kayden, Emily on  2011/02/26 when I was in Shanghai, China.\"\n1741,2011/02/26,\"I spent 37 talking to Rylee, Nevaeh, Nora, Hazel on various topics in the early evening.\",\"I spent 37 talking to Rylee, Nevaeh, Nora, Hazel on various topics in the early evening.\"\n1742,2011/02/26,\"I talked to Eva, Lydia for 7 minutes in the early afternoon.\",\"I talked to Eva, Lydia for 7 minutes in the early afternoon.\"\n1743,2011/02/26,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n1744,2011/02/26,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n1745,2011/02/27,\"I ate Chinese food at Fangbang Xi Lu with Kayden, Emily on  2011/02/27 when I was in Shanghai, China.\",\"I ate Chinese food at Fangbang Xi Lu with Kayden, Emily on  2011/02/27 when I was in Shanghai, China.\"\n1746,2011/02/27,I ate tacos for dinner.,I ate tacos for dinner.\n1747,2011/02/27,\"I spent 42 talking to Nevaeh, Avery on various topics in the early afternoon.\",\"I spent 42 talking to Nevaeh, Avery on various topics in the early afternoon.\"\n1748,2011/02/27,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n1749,2011/02/27,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n1750,2011/02/28,I prepare sushi for dinner.,I prepare sushi for dinner.\n1751,2011/02/28,\"I spent 55 talking to Rylee, Lydia, Hazel on various topics during lunch hours.\",\"I spent 55 talking to Rylee, Lydia, Hazel on various topics during lunch hours.\"\n1752,2011/02/28,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n1753,2011/03/01,I prepare sushi for dinner.,I prepare sushi for dinner.\n1754,2011/03/01,\"I spent 6 talking to Piper, Kinsley on various topics in the early afternoon.\",\"I spent 6 talking to Piper, Kinsley on various topics in the early afternoon.\"\n1755,2011/03/01,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n1756,2011/03/01,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n1757,2011/03/02,I did running on 2011/03/02.,I did running on 2011/03/02.\n1758,2011/03/02,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n1759,2011/03/02,\"I talked to Hazel, Nora for 34 minutes in the early evening.\",\"I talked to Hazel, Nora for 34 minutes in the early evening.\"\n1760,2011/03/03,\"I had toast and cheese for breakfast with Layla, Hazel, Olivia, Avery, Kinsley, Rylee, Lydia, Piper, Nevaeh, Eva, Nora, Claire, Piper\",\"I had toast and cheese for breakfast with Layla, Hazel, Olivia, Avery, Kinsley, Rylee, Lydia, Piper, Nevaeh, Eva, Nora, Claire, Piper\"\n1761,2011/03/03,\"I had dinner with Emily, Carter, Kayden. I ate indian food.\",\"I had dinner with Emily, Carter, Kayden. I ate indian food.\"\n1762,2011/03/03,\"I spent 10 talking to Kinsley, Hazel on various topics during lunch hours.\",\"I spent 10 talking to Kinsley, Hazel on various topics during lunch hours.\"\n1763,2011/03/03,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n1764,2011/03/03,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n1765,2011/03/04,I went on a date with Nathan on 2011/03/04 at a boba shop,I went on a date with Nathan on 2011/03/04 at a boba shop\n1766,2011/03/04,\"I bought some peaches, mandarins, watermelons, sports drinks, shaving cream, mouth wash, mouthwash, shampoo from the grocery store. I saw Avery, Piper, Layla, Olivia at the grocery store.\",\"I bought some peaches, mandarins, watermelons, sports drinks, shaving cream, mouth wash, mouthwash, shampoo from the grocery store. I saw Avery, Piper, Layla, Olivia at the grocery store.\"\n1767,2011/03/04,I did weight lifting on 2011/03/04.,I did weight lifting on 2011/03/04.\n1768,2011/03/04,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n1769,2011/03/04,I prepare indian food for lunch.,I prepare indian food for lunch.\n1770,2011/03/04,I had sandwich for dinner with Emily,I had sandwich for dinner with Emily\n1771,2011/03/04,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n1772,2011/03/05,I did hiking on 2011/03/05.,I did hiking on 2011/03/05.\n1773,2011/03/05,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n1774,2011/03/05,\"I talked to Piper, Nevaeh, Rylee, Hazel for 48 minutes in the early evening.\",\"I talked to Piper, Nevaeh, Rylee, Hazel for 48 minutes in the early evening.\"\n1775,2011/03/05,I spent 46 minutes watching a movie on TV today.,I spent 46 minutes watching a movie on TV today.\n1776,2011/03/06,I did swimming on 2011/03/06.,I did swimming on 2011/03/06.\n1777,2011/03/06,\"I had eggs, sausages, and bread for breakfast with Hazel, Olivia, Piper, Kinsley, Claire, Avery, Layla, Eva\",\"I had eggs, sausages, and bread for breakfast with Hazel, Olivia, Piper, Kinsley, Claire, Avery, Layla, Eva\"\n1778,2011/03/06,\"I talked to Hazel, Olivia for 10 minutes in the morning.\",\"I talked to Hazel, Olivia for 10 minutes in the morning.\"\n1779,2011/03/06,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n1780,2011/03/07,I went for an annual dental cleaning and checkup on 2011/03/07 at the hospital.,I went for an annual dental cleaning and checkup on 2011/03/07 at the hospital.\n1781,2011/03/07,I did weight lifting on 2011/03/07.,I did weight lifting on 2011/03/07.\n1782,2011/03/07,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n1783,2011/03/07,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n1784,2011/03/07,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n1785,2011/03/08,I did running on 2011/03/08.,I did running on 2011/03/08.\n1786,2011/03/08,\"I spent 35 talking to Lydia, Rylee, Piper, Avery on various topics during lunch hours.\",\"I spent 35 talking to Lydia, Rylee, Piper, Avery on various topics during lunch hours.\"\n1787,2011/03/08,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n1788,2011/03/09,I went on a date with Ian on 2011/03/09 at a boba shop,I went on a date with Ian on 2011/03/09 at a boba shop\n1789,2011/03/09,\"I had oatmeal for breakfast with Olivia, Lydia, Hazel, Kinsley, Nora, Rylee, Nevaeh, Piper, Avery, Layla, Piper, Claire, Eva\",\"I had oatmeal for breakfast with Olivia, Lydia, Hazel, Kinsley, Nora, Rylee, Nevaeh, Piper, Avery, Layla, Piper, Claire, Eva\"\n1790,2011/03/09,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n1791,2011/03/09,\"I spent 29 talking to Layla, Nevaeh on various topics in the early afternoon.\",\"I spent 29 talking to Layla, Nevaeh on various topics in the early afternoon.\"\n1792,2011/03/09,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n1793,2011/03/10,\"I went grocery shopping with Nora, Nevaeh, Kinsley, Piper, Piper, Avery, Claire, Lydia, Eva. I bought some nectarines, watermelons, apricots, mango juice, mineral water, and facial wash, toothbrush, mouthwash\",\"I went grocery shopping with Nora, Nevaeh, Kinsley, Piper, Piper, Avery, Claire, Lydia, Eva. I bought some nectarines, watermelons, apricots, mango juice, mineral water, and facial wash, toothbrush, mouthwash\"\n1794,2011/03/10,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n1795,2011/03/10,\"I had tacos for dinner with Kayden, Andrew\",\"I had tacos for dinner with Kayden, Andrew\"\n1796,2011/03/10,\"I spent 33 talking to Rylee, Eva, Kinsley on various topics during lunch hours.\",\"I spent 33 talking to Rylee, Eva, Kinsley on various topics during lunch hours.\"\n1797,2011/03/10,\"I spent 35 talking to Avery, Hazel, Kinsley, Nora on various topics in the early evening.\",\"I spent 35 talking to Avery, Hazel, Kinsley, Nora on various topics in the early evening.\"\n1798,2011/03/10,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n1799,2011/03/11,I did HIIT on 2011/03/11.,I did HIIT on 2011/03/11.\n1800,2011/03/11,\"I had steak for lunch with Claire, Nora, Hazel, Kinsley, Rylee, Nevaeh\",\"I had steak for lunch with Claire, Nora, Hazel, Kinsley, Rylee, Nevaeh\"\n1801,2011/03/11,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n1802,2011/03/11,I watched a tv series for 30 minutes on TV today.,I watched a tv series for 30 minutes on TV today.\n1803,2011/03/12,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1804,2011/03/12,\"I talked to Claire, Piper, Kinsley, Olivia for 37 minutes late in the evening.\",\"I talked to Claire, Piper, Kinsley, Olivia for 37 minutes late in the evening.\"\n1805,2011/03/12,\"I talked to Kinsley, Nora, Nevaeh for 30 minutes late in the evening.\",\"I talked to Kinsley, Nora, Nevaeh for 30 minutes late in the evening.\"\n1806,2011/03/12,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n1807,2011/03/12,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n1808,2011/03/13,\"On 2011/03/13, I took Emilia on a date to a coffee Shop\",\"On 2011/03/13, I took Emilia on a date to a coffee Shop\"\n1809,2011/03/13,\"I had eggs, sausages, and bread for breakfast with Willow, Avery, Jackson, Benjamin\",\"I had eggs, sausages, and bread for breakfast with Willow, Avery, Jackson, Benjamin\"\n1810,2011/03/13,\"I had lunch with Emily, Kayden. I ate chinese food.\",\"I had lunch with Emily, Kayden. I ate chinese food.\"\n1811,2011/03/13,I ate sandwich for dinner.,I ate sandwich for dinner.\n1812,2011/03/13,\"I spent 47 talking to Layla, Rylee on various topics in the late afternoon.\",\"I spent 47 talking to Layla, Rylee on various topics in the late afternoon.\"\n1813,2011/03/13,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n1814,2011/03/13,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n1815,2011/03/14,\"I had breakfast with Willow, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Willow, Jackson. I ate peanut-butter-jam.\"\n1816,2011/03/14,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n1817,2011/03/14,I spent 39 talking to Piper on various topics in the early afternoon.,I spent 39 talking to Piper on various topics in the early afternoon.\n1818,2011/03/14,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n1819,2011/03/14,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n1820,2011/03/15,I did hiking on 2011/03/15.,I did hiking on 2011/03/15.\n1821,2011/03/15,I had breakfast with Carter. I ate cereals.,I had breakfast with Carter. I ate cereals.\n1822,2011/03/15,\"I spent 41 talking to Lydia, Rylee, Avery on various topics in the early afternoon.\",\"I spent 41 talking to Lydia, Rylee, Avery on various topics in the early afternoon.\"\n1823,2011/03/15,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n1824,2011/03/16,I did HIIT on 2011/03/16.,I did HIIT on 2011/03/16.\n1825,2011/03/16,\"I had lunch with Willow, Avery, Jackson, Benjamin. I ate tacos.\",\"I had lunch with Willow, Avery, Jackson, Benjamin. I ate tacos.\"\n1826,2011/03/16,I ate pasta for dinner.,I ate pasta for dinner.\n1827,2011/03/16,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n1828,2011/03/17,I went on a date with Zoe on 2011/03/17 at a coffee Shop,I went on a date with Zoe on 2011/03/17 at a coffee Shop\n1829,2011/03/17,I spent time working out on 2011/03/17 with Jackson.,I spent time working out on 2011/03/17 with Jackson.\n1830,2011/03/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n1831,2011/03/17,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n1832,2011/03/17,\"I talked to Eva, Nevaeh for 13 minutes during lunch hours.\",\"I talked to Eva, Nevaeh for 13 minutes during lunch hours.\"\n1833,2011/03/17,\"I talked to Eva, Nevaeh, Piper, Layla for 16 minutes in the early afternoon.\",\"I talked to Eva, Nevaeh, Piper, Layla for 16 minutes in the early afternoon.\"\n1834,2011/03/17,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n1835,2011/03/18,\"I went grocery shopping. I bought some watermelons, nectarines, strawberries, mango juice, coffee, apple juice, mineral water, and toothpaste, shaving cream, toilet paper\",\"I went grocery shopping. I bought some watermelons, nectarines, strawberries, mango juice, coffee, apple juice, mineral water, and toothpaste, shaving cream, toilet paper\"\n1836,2011/03/18,I did biking on 2011/03/18.,I did biking on 2011/03/18.\n1837,2011/03/18,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n1838,2011/03/18,\"I had chinese food for lunch with Andrew, Emily, Carter\",\"I had chinese food for lunch with Andrew, Emily, Carter\"\n1839,2011/03/18,\"I had dinner with Carter, Emily, Kayden. I ate pasta.\",\"I had dinner with Carter, Emily, Kayden. I ate pasta.\"\n1840,2011/03/18,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n1841,2011/03/18,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n1842,2011/03/19,I did HIIT on 2011/03/19.,I did HIIT on 2011/03/19.\n1843,2011/03/19,I had breakfast with Nora. I ate cereals.,I had breakfast with Nora. I ate cereals.\n1844,2011/03/19,I spent 19 talking to Nevaeh on various topics late in the evening.,I spent 19 talking to Nevaeh on various topics late in the evening.\n1845,2011/03/19,\"I talked to Lydia, Claire, Nevaeh for 42 minutes in the late afternoon.\",\"I talked to Lydia, Claire, Nevaeh for 42 minutes in the late afternoon.\"\n1846,2011/03/19,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n1847,2011/03/19,I watched a documentary for 48 minutes on TV today.,I watched a documentary for 48 minutes on TV today.\n1848,2011/03/20,I did hiking on 2011/03/20.,I did hiking on 2011/03/20.\n1849,2011/03/20,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n1850,2011/03/20,\"I talked to Nora, Rylee, Layla, Claire for 16 minutes in the early evening.\",\"I talked to Nora, Rylee, Layla, Claire for 16 minutes in the early evening.\"\n1851,2011/03/20,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n1852,2011/03/20,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n1853,2011/03/21,I did biking on 2011/03/21.,I did biking on 2011/03/21.\n1854,2011/03/21,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n1855,2011/03/21,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n1856,2011/03/22,I did weight lifting on 2011/03/22.,I did weight lifting on 2011/03/22.\n1857,2011/03/22,I ate cereals for breakfast.,I ate cereals for breakfast.\n1858,2011/03/22,\"I had pasta for lunch with Carter, Andrew, Emily, Kayden\",\"I had pasta for lunch with Carter, Andrew, Emily, Kayden\"\n1859,2011/03/22,\"I spent 47 talking to Layla, Nevaeh, Hazel, Claire on various topics in the late afternoon.\",\"I spent 47 talking to Layla, Nevaeh, Hazel, Claire on various topics in the late afternoon.\"\n1860,2011/03/22,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n1861,2011/03/23,I did hiking on 2011/03/23.,I did hiking on 2011/03/23.\n1862,2011/03/23,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n1863,2011/03/23,\"I had lunch with Benjamin, Jackson, Willow, Avery. I ate steak.\",\"I had lunch with Benjamin, Jackson, Willow, Avery. I ate steak.\"\n1864,2011/03/24,\"I went grocery shopping with Emily, Andrew, Kayden. I bought some nectarines, pineapple juice, and facial wash, paper towel, shampoo\",\"I went grocery shopping with Emily, Andrew, Kayden. I bought some nectarines, pineapple juice, and facial wash, paper towel, shampoo\"\n1865,2011/03/24,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n1866,2011/03/24,I ate sandwich for lunch.,I ate sandwich for lunch.\n1867,2011/03/24,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n1868,2011/03/24,I talked to Rylee for 20 minutes late in the evening.,I talked to Rylee for 20 minutes late in the evening.\n1869,2011/03/24,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n1870,2011/03/25,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n1871,2011/03/25,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n1872,2011/03/25,\"I talked to Claire, Lydia, Olivia, Layla for 48 minutes in the early afternoon.\",\"I talked to Claire, Lydia, Olivia, Layla for 48 minutes in the early afternoon.\"\n1873,2011/03/25,I talked to Nora for 17 minutes in the early evening.,I talked to Nora for 17 minutes in the early evening.\n1874,2011/03/25,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n1875,2011/03/25,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n1876,2011/03/26,\"I went grocery shopping with Andrew. I bought some pineapples, pineapple juice, guava juice, and shaving cream, paper towel, toothpaste\",\"I went grocery shopping with Andrew. I bought some pineapples, pineapple juice, guava juice, and shaving cream, paper towel, toothpaste\"\n1877,2011/03/26,I did running on 2011/03/26.,I did running on 2011/03/26.\n1878,2011/03/26,I ate chinese food for dinner.,I ate chinese food for dinner.\n1879,2011/03/26,I spent 11 talking to Piper on various topics in the morning.,I spent 11 talking to Piper on various topics in the morning.\n1880,2011/03/26,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n1881,2011/03/27,\"On 2011/03/27, I took Stella on a date to a restaurant\",\"On 2011/03/27, I took Stella on a date to a restaurant\"\n1882,2011/03/27,I prepare sushi for dinner.,I prepare sushi for dinner.\n1883,2011/03/27,\"I spent 19 talking to Nevaeh, Layla, Eva, Avery on various topics in the early afternoon.\",\"I spent 19 talking to Nevaeh, Layla, Eva, Avery on various topics in the early afternoon.\"\n1884,2011/03/27,\"I talked to Hazel, Piper, Kinsley, Avery for 14 minutes in the morning.\",\"I talked to Hazel, Piper, Kinsley, Avery for 14 minutes in the morning.\"\n1885,2011/03/28,I did running on 2011/03/28.,I did running on 2011/03/28.\n1886,2011/03/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n1887,2011/03/28,\"I spent 26 talking to Piper, Lydia, Olivia, Hazel on various topics in the morning.\",\"I spent 26 talking to Piper, Lydia, Olivia, Hazel on various topics in the morning.\"\n1888,2011/03/28,I spent 41 talking to Olivia on various topics during lunch hours.,I spent 41 talking to Olivia on various topics during lunch hours.\n1889,2011/03/28,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n1890,2011/03/29,\"I had breakfast with Benjamin, Willow, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Willow, Avery. I ate peanut-butter-jam.\"\n1891,2011/03/29,\"I spent 32 talking to Rylee, Nora, Hazel on various topics in the early afternoon.\",\"I spent 32 talking to Rylee, Nora, Hazel on various topics in the early afternoon.\"\n1892,2011/03/29,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n1893,2011/03/29,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n1894,2011/03/30,\"I bought some strawberries, mangos, pears, pineapples, mango juice, coffee, mouthwash, facial wash online.\",\"I bought some strawberries, mangos, pears, pineapples, mango juice, coffee, mouthwash, facial wash online.\"\n1895,2011/03/30,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n1896,2011/03/30,\"I had fish and chips for dinner with Benjamin, Jackson, Avery, Willow\",\"I had fish and chips for dinner with Benjamin, Jackson, Avery, Willow\"\n1897,2011/03/30,\"I spent 27 talking to Kinsley, Layla, Piper, Olivia on various topics in the morning.\",\"I spent 27 talking to Kinsley, Layla, Piper, Olivia on various topics in the morning.\"\n1898,2011/03/31,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n1899,2011/03/31,\"I had a burger for lunch with Andrew, Emily\",\"I had a burger for lunch with Andrew, Emily\"\n1900,2011/03/31,\"I had dinner with Benjamin, Jackson. I ate sushi.\",\"I had dinner with Benjamin, Jackson. I ate sushi.\"\n1901,2011/03/31,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n1902,2011/04/01,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n1903,2011/04/01,I spent 50 minutes on a book today.,I spent 50 minutes on a book today.\n1904,2011/04/02,\"I spent time working out on 2011/04/02 with Emily, Andrew.\",\"I spent time working out on 2011/04/02 with Emily, Andrew.\"\n1905,2011/04/02,I did weight lifting on 2011/04/02.,I did weight lifting on 2011/04/02.\n1906,2011/04/02,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n1907,2011/04/02,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n1908,2011/04/02,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n1909,2011/04/03,I went on a date with Parker on 2011/04/03 at a coffee Shop,I went on a date with Parker on 2011/04/03 at a coffee Shop\n1910,2011/04/03,\"I bought some peaches, mandarins, apple juice, body lotion, conditioner, shampoo, mouthwash online.\",\"I bought some peaches, mandarins, apple juice, body lotion, conditioner, shampoo, mouthwash online.\"\n1911,2011/04/03,I ate cereals for breakfast.,I ate cereals for breakfast.\n1912,2011/04/03,I prepare sushi for lunch.,I prepare sushi for lunch.\n1913,2011/04/03,\"I had a burger for dinner with Emily, Carter\",\"I had a burger for dinner with Emily, Carter\"\n1914,2011/04/03,\"I talked to Kinsley, Piper for 43 minutes in the early evening.\",\"I talked to Kinsley, Piper for 43 minutes in the early evening.\"\n1915,2011/04/03,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n1916,2011/04/04,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n1917,2011/04/04,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n1918,2011/04/04,\"I talked to Piper, Lydia for 26 minutes late in the evening.\",\"I talked to Piper, Lydia for 26 minutes late in the evening.\"\n1919,2011/04/04,\"I talked to Piper, Rylee for 18 minutes during lunch hours.\",\"I talked to Piper, Rylee for 18 minutes during lunch hours.\"\n1920,2011/04/04,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n1921,2011/04/04,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n1922,2011/04/05,\"I had sandwich for lunch with Carter, Kayden, Andrew\",\"I had sandwich for lunch with Carter, Kayden, Andrew\"\n1923,2011/04/05,\"I talked to Olivia, Piper, Nevaeh for 28 minutes during lunch hours.\",\"I talked to Olivia, Piper, Nevaeh for 28 minutes during lunch hours.\"\n1924,2011/04/06,I did weight lifting on 2011/04/06.,I did weight lifting on 2011/04/06.\n1925,2011/04/06,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n1926,2011/04/06,I prepare steak for dinner.,I prepare steak for dinner.\n1927,2011/04/07,\"I bought some pears, nectarines, apple juice, toilet paper, facial wash, paper towel online.\",\"I bought some pears, nectarines, apple juice, toilet paper, facial wash, paper towel online.\"\n1928,2011/04/07,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n1929,2011/04/07,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n1930,2011/04/08,I spent some time learning a language on 2011/04/08.,I spent some time learning a language on 2011/04/08.\n1931,2011/04/08,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n1932,2011/04/09,\"I had dinner with Andrew, Emily, Kayden. I ate sandwich.\",\"I had dinner with Andrew, Emily, Kayden. I ate sandwich.\"\n1933,2011/04/09,I talked to Rylee for 47 minutes in the early afternoon.,I talked to Rylee for 47 minutes in the early afternoon.\n1934,2011/04/09,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n1935,2011/04/09,I spent 39 minutes watching a tv series on TV today.,I spent 39 minutes watching a tv series on TV today.\n1936,2011/04/10,I went on a date with Aaliyah on 2011/04/10 at a boba shop,I went on a date with Aaliyah on 2011/04/10 at a boba shop\n1937,2011/04/10,\"I went grocery shopping. I bought some apricots, watermelons, peaches, oranges, chocolate milk, tea, orange juice, apple juice, and conditioner, mouth wash, toilet paper\",\"I went grocery shopping. I bought some apricots, watermelons, peaches, oranges, chocolate milk, tea, orange juice, apple juice, and conditioner, mouth wash, toilet paper\"\n1938,2011/04/10,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n1939,2011/04/11,\"I had lunch with Olivia, Rylee, Nora, Lydia, Claire, Avery, Eva, Piper, Kinsley. I ate tacos.\",\"I had lunch with Olivia, Rylee, Nora, Lydia, Claire, Avery, Eva, Piper, Kinsley. I ate tacos.\"\n1940,2011/04/11,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n1941,2011/04/12,\"I bought some peaches, sports drinks, toothpaste, toilet paper, mouth wash, facial wash from the grocery store. I saw Emily, Carter, Kayden at the grocery store.\",\"I bought some peaches, sports drinks, toothpaste, toilet paper, mouth wash, facial wash from the grocery store. I saw Emily, Carter, Kayden at the grocery store.\"\n1942,2011/04/12,I did biking on 2011/04/12.,I did biking on 2011/04/12.\n1943,2011/04/12,\"I had breakfast with Piper, Nora, Rylee, Eva, Piper, Kinsley. I ate oatmeal.\",\"I had breakfast with Piper, Nora, Rylee, Eva, Piper, Kinsley. I ate oatmeal.\"\n1944,2011/04/13,I did biking on 2011/04/13.,I did biking on 2011/04/13.\n1945,2011/04/13,\"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate pancakes.\",\"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate pancakes.\"\n1946,2011/04/13,\"I talked to Eva, Piper for 22 minutes in the morning.\",\"I talked to Eva, Piper for 22 minutes in the morning.\"\n1947,2011/04/13,\"I spent 35 talking to Layla, Avery on various topics in the morning.\",\"I spent 35 talking to Layla, Avery on various topics in the morning.\"\n1948,2011/04/13,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n1949,2011/04/13,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n1950,2011/04/14,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n1951,2011/04/14,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n1952,2011/04/14,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n1953,2011/04/15,\"On 2011/04/15, I took Ruby on a date to a restaurant\",\"On 2011/04/15, I took Ruby on a date to a restaurant\"\n1954,2011/04/15,I did hiking on 2011/04/15.,I did hiking on 2011/04/15.\n1955,2011/04/15,\"I had chinese food for dinner with Carter, Andrew, Emily\",\"I had chinese food for dinner with Carter, Andrew, Emily\"\n1956,2011/04/15,\"I talked to Rylee, Kinsley, Claire for 6 minutes late in the evening.\",\"I talked to Rylee, Kinsley, Claire for 6 minutes late in the evening.\"\n1957,2011/04/15,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n1958,2011/04/15,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n1959,2011/04/16,I did biking on 2011/04/16.,I did biking on 2011/04/16.\n1960,2011/04/16,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n1961,2011/04/16,I prepare tacos for lunch.,I prepare tacos for lunch.\n1962,2011/04/16,\"I talked to Olivia, Lydia for 7 minutes in the early afternoon.\",\"I talked to Olivia, Lydia for 7 minutes in the early afternoon.\"\n1963,2011/04/17,I went on a date with Adrian on 2011/04/17 at a restaurant,I went on a date with Adrian on 2011/04/17 at a restaurant\n1964,2011/04/17,\"I had breakfast with Nevaeh, Hazel, Kinsley, Avery, Eva, Piper, Nora, Rylee. I ate oatmeal.\",\"I had breakfast with Nevaeh, Hazel, Kinsley, Avery, Eva, Piper, Nora, Rylee. I ate oatmeal.\"\n1965,2011/04/17,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n1966,2011/04/18,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n1967,2011/04/18,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n1968,2011/04/18,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n1969,2011/04/19,I did biking on 2011/04/19.,I did biking on 2011/04/19.\n1970,2011/04/19,\"I spent 5 talking to Hazel, Nora, Avery on various topics late in the evening.\",\"I spent 5 talking to Hazel, Nora, Avery on various topics late in the evening.\"\n1971,2011/04/19,\"I spent 36 talking to Lydia, Nevaeh, Rylee, Hazel on various topics in the early afternoon.\",\"I spent 36 talking to Lydia, Nevaeh, Rylee, Hazel on various topics in the early afternoon.\"\n1972,2011/04/19,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n1973,2011/04/19,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n1974,2011/04/20,I did swimming on 2011/04/20.,I did swimming on 2011/04/20.\n1975,2011/04/20,\"I had tacos for lunch with Andrew, Emily\",\"I had tacos for lunch with Andrew, Emily\"\n1976,2011/04/20,I prepare a burger for dinner.,I prepare a burger for dinner.\n1977,2011/04/20,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n1978,2011/04/20,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n1979,2011/04/21,\"I had lunch with Nevaeh, Claire, Layla, Lydia, Piper. I ate pasta.\",\"I had lunch with Nevaeh, Claire, Layla, Lydia, Piper. I ate pasta.\"\n1980,2011/04/21,\"I had fish and chips for dinner with Avery, Piper, Piper, Eva, Claire, Olivia, Layla, Rylee, Lydia, Nevaeh, Nora, Kinsley\",\"I had fish and chips for dinner with Avery, Piper, Piper, Eva, Claire, Olivia, Layla, Rylee, Lydia, Nevaeh, Nora, Kinsley\"\n1981,2011/04/21,\"I spent 21 talking to Lydia, Eva on various topics during lunch hours.\",\"I spent 21 talking to Lydia, Eva on various topics during lunch hours.\"\n1982,2011/04/22,\"I bought some strawberries, milk, mineral water, body lotion, conditioner, mouth wash online.\",\"I bought some strawberries, milk, mineral water, body lotion, conditioner, mouth wash online.\"\n1983,2011/04/22,I did hiking on 2011/04/22.,I did hiking on 2011/04/22.\n1984,2011/04/22,I had sandwich for dinner with Kayden,I had sandwich for dinner with Kayden\n1985,2011/04/22,I spent 16 talking to Rylee on various topics in the morning.,I spent 16 talking to Rylee on various topics in the morning.\n1986,2011/04/22,\"I talked to Nora, Hazel for 9 minutes in the late afternoon.\",\"I talked to Nora, Hazel for 9 minutes in the late afternoon.\"\n1987,2011/04/22,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n1988,2011/04/22,I spent 6 minutes watching a movie on TV today.,I spent 6 minutes watching a movie on TV today.\n1989,2011/04/23,\"On 2011/04/23, I took Jade on a date to a coffee Shop\",\"On 2011/04/23, I took Jade on a date to a coffee Shop\"\n1990,2011/04/23,\"I went grocery shopping with Jackson, Benjamin, Willow. I bought some strawberries, apricots, peaches, blueberries, pineapple juice, soda, and facial wash, body lotion, shampoo\",\"I went grocery shopping with Jackson, Benjamin, Willow. I bought some strawberries, apricots, peaches, blueberries, pineapple juice, soda, and facial wash, body lotion, shampoo\"\n1991,2011/04/23,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n1992,2011/04/23,\"I spent 19 talking to Layla, Piper, Eva, Nora on various topics late in the evening.\",\"I spent 19 talking to Layla, Piper, Eva, Nora on various topics late in the evening.\"\n1993,2011/04/23,\"I spent 40 talking to Hazel, Piper on various topics in the late afternoon.\",\"I spent 40 talking to Hazel, Piper on various topics in the late afternoon.\"\n1994,2011/04/23,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n1995,2011/04/24,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n1996,2011/04/24,\"I spent 13 talking to Eva, Kinsley, Layla, Piper on various topics in the early afternoon.\",\"I spent 13 talking to Eva, Kinsley, Layla, Piper on various topics in the early afternoon.\"\n1997,2011/04/24,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n1998,2011/04/24,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n1999,2011/04/25,I did weight lifting on 2011/04/25.,I did weight lifting on 2011/04/25.\n2000,2011/04/25,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n2001,2011/04/25,\"I had lunch with Claire, Nora. I ate sandwich.\",\"I had lunch with Claire, Nora. I ate sandwich.\"\n2002,2011/04/25,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n2003,2011/04/26,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n2004,2011/04/26,\"I had chinese food for lunch with Emily, Carter, Andrew\",\"I had chinese food for lunch with Emily, Carter, Andrew\"\n2005,2011/04/26,I ate tacos for dinner.,I ate tacos for dinner.\n2006,2011/04/26,\"I talked to Claire, Lydia, Olivia for 21 minutes in the early evening.\",\"I talked to Claire, Lydia, Olivia for 21 minutes in the early evening.\"\n2007,2011/04/26,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n2008,2011/04/27,\"I went grocery shopping with Emily, Kayden, Carter. I bought some guava, watermelons, pineapples, chocolate milk, and toothpaste, mouth wash\",\"I went grocery shopping with Emily, Kayden, Carter. I bought some guava, watermelons, pineapples, chocolate milk, and toothpaste, mouth wash\"\n2009,2011/04/27,I did biking on 2011/04/27.,I did biking on 2011/04/27.\n2010,2011/04/27,\"I had peanut-butter-jam for breakfast with Avery, Willow\",\"I had peanut-butter-jam for breakfast with Avery, Willow\"\n2011,2011/04/27,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n2012,2011/04/27,\"I talked to Eva, Hazel, Kinsley, Layla for 34 minutes during lunch hours.\",\"I talked to Eva, Hazel, Kinsley, Layla for 34 minutes during lunch hours.\"\n2013,2011/04/27,I spent 38 talking to Piper on various topics in the late afternoon.,I spent 38 talking to Piper on various topics in the late afternoon.\n2014,2011/04/27,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n2015,2011/04/27,I spent 15 minutes watching a documentary on TV today.,I spent 15 minutes watching a documentary on TV today.\n2016,2011/04/28,I went on a date with Willow on 2011/04/28 at a park,I went on a date with Willow on 2011/04/28 at a park\n2017,2011/04/28,I did swimming on 2011/04/28.,I did swimming on 2011/04/28.\n2018,2011/04/28,\"I had pancakes for breakfast with Rylee, Eva, Nora, Claire, Piper\",\"I had pancakes for breakfast with Rylee, Eva, Nora, Claire, Piper\"\n2019,2011/04/28,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n2020,2011/04/28,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n2021,2011/04/29,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n2022,2011/04/29,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n2023,2011/04/29,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n2024,2011/04/30,I did running on 2011/04/30.,I did running on 2011/04/30.\n2025,2011/04/30,I ate cereals for breakfast.,I ate cereals for breakfast.\n2026,2011/04/30,I had lunch. I ate steak.,I had lunch. I ate steak.\n2027,2011/04/30,I ate sandwich for dinner.,I ate sandwich for dinner.\n2028,2011/04/30,\"I talked to Piper, Claire, Piper for 10 minutes in the morning.\",\"I talked to Piper, Claire, Piper for 10 minutes in the morning.\"\n2029,2011/05/01,I did weight lifting on 2011/05/01.,I did weight lifting on 2011/05/01.\n2030,2011/05/01,\"I had breakfast with Kayden, Emily. I ate oatmeal.\",\"I had breakfast with Kayden, Emily. I ate oatmeal.\"\n2031,2011/05/01,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n2032,2011/05/01,\"I had indian food for dinner with Rylee, Lydia, Nevaeh, Eva, Kinsley, Olivia, Nora, Claire, Avery, Piper, Piper, Layla\",\"I had indian food for dinner with Rylee, Lydia, Nevaeh, Eva, Kinsley, Olivia, Nora, Claire, Avery, Piper, Piper, Layla\"\n2033,2011/05/01,\"I talked to Olivia, Piper for 20 minutes late in the evening.\",\"I talked to Olivia, Piper for 20 minutes late in the evening.\"\n2034,2011/05/01,\"I spent 41 talking to Nora, Nevaeh, Olivia on various topics in the morning.\",\"I spent 41 talking to Nora, Nevaeh, Olivia on various topics in the morning.\"\n2035,2011/05/01,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n2036,2011/05/02,I did hiking on 2011/05/02.,I did hiking on 2011/05/02.\n2037,2011/05/02,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n2038,2011/05/02,I ate indian food for lunch.,I ate indian food for lunch.\n2039,2011/05/02,\"I spent 40 talking to Claire, Eva, Piper on various topics late in the evening.\",\"I spent 40 talking to Claire, Eva, Piper on various topics late in the evening.\"\n2040,2011/05/02,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n2041,2011/05/02,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n2042,2011/05/03,I did swimming on 2011/05/03.,I did swimming on 2011/05/03.\n2043,2011/05/03,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n2044,2011/05/03,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n2045,2011/05/03,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n2046,2011/05/03,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n2047,2011/05/03,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n2048,2011/05/04,\"On 2011/05/04, I took Adeline on a date to a park\",\"On 2011/05/04, I took Adeline on a date to a park\"\n2049,2011/05/04,I did running on 2011/05/04.,I did running on 2011/05/04.\n2050,2011/05/04,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n2051,2011/05/04,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n2052,2011/05/05,I did hiking on 2011/05/05.,I did hiking on 2011/05/05.\n2053,2011/05/05,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n2054,2011/05/05,I ate sushi for dinner.,I ate sushi for dinner.\n2055,2011/05/05,I talked to Lydia for 14 minutes late in the evening.,I talked to Lydia for 14 minutes late in the evening.\n2056,2011/05/06,\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate oatmeal.\",\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate oatmeal.\"\n2057,2011/05/06,I had lunch. I ate steak.,I had lunch. I ate steak.\n2058,2011/05/06,\"I talked to Kinsley, Lydia, Layla, Eva for 18 minutes in the early evening.\",\"I talked to Kinsley, Lydia, Layla, Eva for 18 minutes in the early evening.\"\n2059,2011/05/06,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n2060,2011/05/07,I did biking on 2011/05/07.,I did biking on 2011/05/07.\n2061,2011/05/07,\"I had dinner with Carter, Emily. I ate pasta.\",\"I had dinner with Carter, Emily. I ate pasta.\"\n2062,2011/05/07,I spent 22 talking to Piper on various topics in the early evening.,I spent 22 talking to Piper on various topics in the early evening.\n2063,2011/05/08,I did HIIT on 2011/05/08.,I did HIIT on 2011/05/08.\n2064,2011/05/08,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n2065,2011/05/08,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n2066,2011/05/08,I watched a movie for 12 minutes on TV today.,I watched a movie for 12 minutes on TV today.\n2067,2011/05/09,\"I spent time yoga on 2011/05/09 with Benjamin, Willow, Avery.\",\"I spent time yoga on 2011/05/09 with Benjamin, Willow, Avery.\"\n2068,2011/05/09,\"I went grocery shopping with Kayden. I bought some bananas, nectarines, clementines, coffee, mineral water, guava juice, and toothbrush, toilet paper\",\"I went grocery shopping with Kayden. I bought some bananas, nectarines, clementines, coffee, mineral water, guava juice, and toothbrush, toilet paper\"\n2069,2011/05/09,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n2070,2011/05/09,\"I had tacos for lunch with Carter, Andrew\",\"I had tacos for lunch with Carter, Andrew\"\n2071,2011/05/09,\"I talked to Avery, Nora for 11 minutes in the late afternoon.\",\"I talked to Avery, Nora for 11 minutes in the late afternoon.\"\n2072,2011/05/09,\"I talked to Kinsley, Nevaeh, Hazel, Eva for 53 minutes during lunch hours.\",\"I talked to Kinsley, Nevaeh, Hazel, Eva for 53 minutes during lunch hours.\"\n2073,2011/05/10,I did hiking on 2011/05/10.,I did hiking on 2011/05/10.\n2074,2011/05/10,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n2075,2011/05/10,I watched news for 52 minutes on TV today.,I watched news for 52 minutes on TV today.\n2076,2011/05/11,I did HIIT on 2011/05/11.,I did HIIT on 2011/05/11.\n2077,2011/05/11,\"I had breakfast with Andrew, Carter. I ate pancakes.\",\"I had breakfast with Andrew, Carter. I ate pancakes.\"\n2078,2011/05/12,\"I spent 39 talking to Avery, Lydia, Nevaeh on various topics in the early evening.\",\"I spent 39 talking to Avery, Lydia, Nevaeh on various topics in the early evening.\"\n2079,2011/05/12,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n2080,2011/05/13,I did swimming on 2011/05/13.,I did swimming on 2011/05/13.\n2081,2011/05/13,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n2082,2011/05/13,I had lunch. I ate steak.,I had lunch. I ate steak.\n2083,2011/05/13,\"I had indian food for dinner with Carter, Andrew, Emily, Kayden\",\"I had indian food for dinner with Carter, Andrew, Emily, Kayden\"\n2084,2011/05/13,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n2085,2011/05/13,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n2086,2011/05/14,\"I talked to Layla, Eva, Claire for 25 minutes in the early afternoon.\",\"I talked to Layla, Eva, Claire for 25 minutes in the early afternoon.\"\n2087,2011/05/14,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n2088,2011/05/14,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n2089,2011/05/15,\"On 2011/05/15, I took Eli on a date to a park\",\"On 2011/05/15, I took Eli on a date to a park\"\n2090,2011/05/15,I did running on 2011/05/15.,I did running on 2011/05/15.\n2091,2011/05/15,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2092,2011/05/15,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n2093,2011/05/15,\"I spent 47 talking to Claire, Rylee on various topics late in the evening.\",\"I spent 47 talking to Claire, Rylee on various topics late in the evening.\"\n2094,2011/05/15,I spent 17 talking to Olivia on various topics in the early afternoon.,I spent 17 talking to Olivia on various topics in the early afternoon.\n2095,2011/05/16,I did hiking on 2011/05/16.,I did hiking on 2011/05/16.\n2096,2011/05/16,I ate sandwich for dinner.,I ate sandwich for dinner.\n2097,2011/05/16,\"I talked to Olivia, Nora, Piper, Avery for 36 minutes during lunch hours.\",\"I talked to Olivia, Nora, Piper, Avery for 36 minutes during lunch hours.\"\n2098,2011/05/16,\"I talked to Piper, Eva, Rylee, Olivia for 28 minutes late in the evening.\",\"I talked to Piper, Eva, Rylee, Olivia for 28 minutes late in the evening.\"\n2099,2011/05/17,I prepare a burger for lunch.,I prepare a burger for lunch.\n2100,2011/05/17,\"I spent 54 talking to Rylee, Lydia, Kinsley, Claire on various topics in the morning.\",\"I spent 54 talking to Rylee, Lydia, Kinsley, Claire on various topics in the morning.\"\n2101,2011/05/17,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n2102,2011/05/18,\"I went grocery shopping. I bought some peaches, guava, apple juice, mango juice, tea, and body lotion\",\"I went grocery shopping. I bought some peaches, guava, apple juice, mango juice, tea, and body lotion\"\n2103,2011/05/18,\"I had dinner with Hazel, Layla, Avery, Olivia, Nora, Rylee, Claire, Nevaeh, Piper, Eva, Lydia. I ate pasta.\",\"I had dinner with Hazel, Layla, Avery, Olivia, Nora, Rylee, Claire, Nevaeh, Piper, Eva, Lydia. I ate pasta.\"\n2104,2011/05/19,I did HIIT on 2011/05/19.,I did HIIT on 2011/05/19.\n2105,2011/05/19,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n2106,2011/05/19,I spent 39 talking to Claire on various topics in the morning.,I spent 39 talking to Claire on various topics in the morning.\n2107,2011/05/19,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n2108,2011/05/19,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n2109,2011/05/21,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2110,2011/05/21,\"I spent 38 talking to Nevaeh, Claire, Layla on various topics late in the evening.\",\"I spent 38 talking to Nevaeh, Claire, Layla on various topics late in the evening.\"\n2111,2011/05/21,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n2112,2011/05/22,I did running on 2011/05/22.,I did running on 2011/05/22.\n2113,2011/05/22,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n2114,2011/05/22,\"I had dinner with Kinsley, Piper, Nora, Olivia, Piper, Layla, Claire, Rylee, Nevaeh, Hazel, Avery, Lydia. I ate chinese food.\",\"I had dinner with Kinsley, Piper, Nora, Olivia, Piper, Layla, Claire, Rylee, Nevaeh, Hazel, Avery, Lydia. I ate chinese food.\"\n2115,2011/05/23,\"On 2011/05/23, I took Oliver on a date to a park\",\"On 2011/05/23, I took Oliver on a date to a park\"\n2116,2011/05/23,I did swimming on 2011/05/23.,I did swimming on 2011/05/23.\n2117,2011/05/23,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n2118,2011/05/23,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n2119,2011/05/24,I had breakfast with Andrew. I ate peanut-butter-jam.,I had breakfast with Andrew. I ate peanut-butter-jam.\n2120,2011/05/24,I prepare sushi for lunch.,I prepare sushi for lunch.\n2121,2011/05/24,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n2122,2011/05/25,\"I had breakfast with Nevaeh, Olivia, Eva, Layla, Piper, Hazel, Claire, Avery, Nora. I ate cereals.\",\"I had breakfast with Nevaeh, Olivia, Eva, Layla, Piper, Hazel, Claire, Avery, Nora. I ate cereals.\"\n2123,2011/05/25,\"I had sandwich for dinner with Olivia, Claire, Layla, Nora, Nevaeh, Piper, Rylee, Eva, Lydia\",\"I had sandwich for dinner with Olivia, Claire, Layla, Nora, Nevaeh, Piper, Rylee, Eva, Lydia\"\n2124,2011/05/25,I spent 11 talking to Hazel on various topics in the early afternoon.,I spent 11 talking to Hazel on various topics in the early afternoon.\n2125,2011/05/25,\"I spent 19 talking to Rylee, Eva, Nora on various topics in the early evening.\",\"I spent 19 talking to Rylee, Eva, Nora on various topics in the early evening.\"\n2126,2011/05/25,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n2127,2011/05/25,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n2128,2011/05/26,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n2129,2011/05/26,I had sandwich for lunch with Benjamin,I had sandwich for lunch with Benjamin\n2130,2011/05/26,I ate steak for dinner.,I ate steak for dinner.\n2131,2011/05/26,\"I spent 33 talking to Claire, Nora, Eva, Rylee on various topics in the morning.\",\"I spent 33 talking to Claire, Nora, Eva, Rylee on various topics in the morning.\"\n2132,2011/05/26,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n2133,2011/05/26,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n2134,2011/05/27,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n2135,2011/05/27,\"I spent 8 talking to Eva, Avery, Piper on various topics in the early evening.\",\"I spent 8 talking to Eva, Avery, Piper on various topics in the early evening.\"\n2136,2011/05/27,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n2137,2011/05/27,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n2138,2011/05/28,I spent some time gardening on 2011/05/28.,I spent some time gardening on 2011/05/28.\n2139,2011/05/28,I ate cereals for breakfast.,I ate cereals for breakfast.\n2140,2011/05/28,\"I had fish and chips for lunch with Andrew, Carter, Kayden, Emily\",\"I had fish and chips for lunch with Andrew, Carter, Kayden, Emily\"\n2141,2011/05/28,\"I had sushi for dinner with Kayden, Emily\",\"I had sushi for dinner with Kayden, Emily\"\n2142,2011/05/28,\"I talked to Nevaeh, Olivia, Hazel, Piper for 6 minutes in the morning.\",\"I talked to Nevaeh, Olivia, Hazel, Piper for 6 minutes in the morning.\"\n2143,2011/05/28,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n2144,2011/05/28,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n2145,2011/05/29,\"I bought some oranges, nectarines, pears, coffee, mango juice, mouthwash, toothbrush, shaving cream from the grocery store. I saw Eva, Hazel at the grocery store.\",\"I bought some oranges, nectarines, pears, coffee, mango juice, mouthwash, toothbrush, shaving cream from the grocery store. I saw Eva, Hazel at the grocery store.\"\n2146,2011/05/29,\"I talked to Piper, Claire, Piper for 38 minutes in the early evening.\",\"I talked to Piper, Claire, Piper for 38 minutes in the early evening.\"\n2147,2011/05/29,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n2148,2011/05/30,I prepare pasta for lunch.,I prepare pasta for lunch.\n2149,2011/05/30,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n2150,2011/05/31,I prepare a burger for lunch.,I prepare a burger for lunch.\n2151,2011/05/31,I ate steak for dinner.,I ate steak for dinner.\n2152,2011/05/31,\"I spent 49 talking to Lydia, Piper on various topics during lunch hours.\",\"I spent 49 talking to Lydia, Piper on various topics during lunch hours.\"\n2153,2011/05/31,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n2154,2011/06/01,I did HIIT on 2011/06/01.,I did HIIT on 2011/06/01.\n2155,2011/06/01,I ate tacos for lunch.,I ate tacos for lunch.\n2156,2011/06/01,\"I spent 25 talking to Piper, Nora on various topics in the early evening.\",\"I spent 25 talking to Piper, Nora on various topics in the early evening.\"\n2157,2011/06/01,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n2158,2011/06/01,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n2159,2011/06/02,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n2160,2011/06/02,\"I talked to Kinsley, Eva, Layla, Avery for 23 minutes in the morning.\",\"I talked to Kinsley, Eva, Layla, Avery for 23 minutes in the morning.\"\n2161,2011/06/02,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n2162,2011/06/03,I really enjoyed yoga on 2011/06/03,I really enjoyed yoga on 2011/06/03\n2163,2011/06/03,I did running on 2011/06/03.,I did running on 2011/06/03.\n2164,2011/06/03,I ate cereals for breakfast.,I ate cereals for breakfast.\n2165,2011/06/03,I prepare tacos for lunch.,I prepare tacos for lunch.\n2166,2011/06/03,\"I talked to Piper, Rylee, Nevaeh, Avery for 53 minutes in the early evening.\",\"I talked to Piper, Rylee, Nevaeh, Avery for 53 minutes in the early evening.\"\n2167,2011/06/03,\"I spent 20 talking to Kinsley, Claire on various topics in the early evening.\",\"I spent 20 talking to Kinsley, Claire on various topics in the early evening.\"\n2168,2011/06/03,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n2169,2011/06/03,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n2170,2011/06/04,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n2171,2011/06/04,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n2172,2011/06/04,\"I spent 5 talking to Nevaeh, Lydia on various topics in the early evening.\",\"I spent 5 talking to Nevaeh, Lydia on various topics in the early evening.\"\n2173,2011/06/04,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n2174,2011/06/04,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n2175,2011/06/05,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n2176,2011/06/05,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n2177,2011/06/06,\"I bought some apples, peaches, bananas, blueberries, coffee, soda, orange juice, toothbrush online.\",\"I bought some apples, peaches, bananas, blueberries, coffee, soda, orange juice, toothbrush online.\"\n2178,2011/06/06,I did HIIT on 2011/06/06.,I did HIIT on 2011/06/06.\n2179,2011/06/06,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n2180,2011/06/06,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n2181,2011/06/07,I did HIIT on 2011/06/07.,I did HIIT on 2011/06/07.\n2182,2011/06/07,I ate cereals for breakfast.,I ate cereals for breakfast.\n2183,2011/06/07,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n2184,2011/06/08,I went on a date with Aaron on 2011/06/08 at a boba shop,I went on a date with Aaron on 2011/06/08 at a boba shop\n2185,2011/06/08,I did weight lifting on 2011/06/08.,I did weight lifting on 2011/06/08.\n2186,2011/06/08,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n2187,2011/06/08,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n2188,2011/06/08,\"I talked to Olivia, Lydia, Nora for 14 minutes in the early evening.\",\"I talked to Olivia, Lydia, Nora for 14 minutes in the early evening.\"\n2189,2011/06/08,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n2190,2011/06/08,I watched a documentary for 55 minutes on TV today.,I watched a documentary for 55 minutes on TV today.\n2191,2011/06/09,I did biking on 2011/06/09.,I did biking on 2011/06/09.\n2192,2011/06/09,\"I had oatmeal for breakfast with Carter, Emily, Kayden\",\"I had oatmeal for breakfast with Carter, Emily, Kayden\"\n2193,2011/06/09,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n2194,2011/06/10,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n2195,2011/06/10,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n2196,2011/06/10,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n2197,2011/06/11,\"I bought some apricots, coffee, mango juice, mineral water, mouthwash, toothbrush from the grocery store. I saw Kayden, Emily at the grocery store.\",\"I bought some apricots, coffee, mango juice, mineral water, mouthwash, toothbrush from the grocery store. I saw Kayden, Emily at the grocery store.\"\n2198,2011/06/11,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n2199,2011/06/11,\"I talked to Kinsley, Avery, Nora for 34 minutes in the early evening.\",\"I talked to Kinsley, Avery, Nora for 34 minutes in the early evening.\"\n2200,2011/06/11,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n2201,2011/06/12,I did biking on 2011/06/12.,I did biking on 2011/06/12.\n2202,2011/06/12,\"I spent 37 talking to Piper, Claire, Olivia on various topics in the early afternoon.\",\"I spent 37 talking to Piper, Claire, Olivia on various topics in the early afternoon.\"\n2203,2011/06/12,I talked to Nevaeh for 46 minutes in the late afternoon.,I talked to Nevaeh for 46 minutes in the late afternoon.\n2204,2011/06/12,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n2205,2011/06/13,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n2206,2011/06/14,\"On 2011/06/14, I took Ella on a date to a park\",\"On 2011/06/14, I took Ella on a date to a park\"\n2207,2011/06/14,I spent some time learning a language on 2011/06/14.,I spent some time learning a language on 2011/06/14.\n2208,2011/06/14,\"I bought some cherres, apricots, mango juice, guava juice, tea, facial wash, toothpaste online.\",\"I bought some cherres, apricots, mango juice, guava juice, tea, facial wash, toothpaste online.\"\n2209,2011/06/14,I did swimming on 2011/06/14.,I did swimming on 2011/06/14.\n2210,2011/06/14,I prepare a burger for lunch.,I prepare a burger for lunch.\n2211,2011/06/14,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n2212,2011/06/14,\"I spent 16 talking to Piper, Kinsley, Lydia on various topics in the early afternoon.\",\"I spent 16 talking to Piper, Kinsley, Lydia on various topics in the early afternoon.\"\n2213,2011/06/14,\"I spent 38 talking to Kinsley, Claire, Nevaeh, Hazel on various topics late in the evening.\",\"I spent 38 talking to Kinsley, Claire, Nevaeh, Hazel on various topics late in the evening.\"\n2214,2011/06/14,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n2215,2011/06/15,I did HIIT on 2011/06/15.,I did HIIT on 2011/06/15.\n2216,2011/06/15,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n2217,2011/06/15,I ate chinese food for lunch.,I ate chinese food for lunch.\n2218,2011/06/15,\"I had indian food for dinner with Carter, Emily, Andrew, Kayden\",\"I had indian food for dinner with Carter, Emily, Andrew, Kayden\"\n2219,2011/06/15,I spent 15 talking to Piper on various topics in the morning.,I spent 15 talking to Piper on various topics in the morning.\n2220,2011/06/15,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n2221,2011/06/16,I did running on 2011/06/16.,I did running on 2011/06/16.\n2222,2011/06/16,\"I talked to Hazel, Olivia for 24 minutes during lunch hours.\",\"I talked to Hazel, Olivia for 24 minutes during lunch hours.\"\n2223,2011/06/16,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n2224,2011/06/16,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n2225,2011/06/17,I did hiking on 2011/06/17.,I did hiking on 2011/06/17.\n2226,2011/06/17,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n2227,2011/06/17,\"I had chinese food for lunch with Piper, Hazel, Olivia\",\"I had chinese food for lunch with Piper, Hazel, Olivia\"\n2228,2011/06/17,\"I talked to Rylee, Layla, Eva for 6 minutes in the morning.\",\"I talked to Rylee, Layla, Eva for 6 minutes in the morning.\"\n2229,2011/06/17,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n2230,2011/06/18,\"I went grocery shopping. I bought some bananas, apples, soda, mineral water, and toothpaste, body lotion, toilet paper\",\"I went grocery shopping. I bought some bananas, apples, soda, mineral water, and toothpaste, body lotion, toilet paper\"\n2231,2011/06/18,I did running on 2011/06/18.,I did running on 2011/06/18.\n2232,2011/06/18,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n2233,2011/06/18,\"I had sandwich for dinner with Jackson, Avery\",\"I had sandwich for dinner with Jackson, Avery\"\n2234,2011/06/18,\"I talked to Rylee, Lydia, Hazel, Nevaeh for 52 minutes during lunch hours.\",\"I talked to Rylee, Lydia, Hazel, Nevaeh for 52 minutes during lunch hours.\"\n2235,2011/06/18,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n2236,2011/06/19,I did weight lifting on 2011/06/19.,I did weight lifting on 2011/06/19.\n2237,2011/06/19,I talked to Nora for 22 minutes late in the evening.,I talked to Nora for 22 minutes late in the evening.\n2238,2011/06/19,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n2239,2011/06/19,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n2240,2011/06/20,I did swimming on 2011/06/20.,I did swimming on 2011/06/20.\n2241,2011/06/20,\"I had oatmeal for breakfast with Eva, Rylee, Piper, Hazel, Piper, Nora, Olivia, Kinsley\",\"I had oatmeal for breakfast with Eva, Rylee, Piper, Hazel, Piper, Nora, Olivia, Kinsley\"\n2242,2011/06/20,\"I had steak for dinner with Claire, Piper, Eva, Rylee, Lydia, Olivia, Nevaeh, Hazel, Piper, Kinsley, Nora, Avery\",\"I had steak for dinner with Claire, Piper, Eva, Rylee, Lydia, Olivia, Nevaeh, Hazel, Piper, Kinsley, Nora, Avery\"\n2243,2011/06/20,\"I spent 10 talking to Lydia, Nora, Piper, Rylee on various topics in the early afternoon.\",\"I spent 10 talking to Lydia, Nora, Piper, Rylee on various topics in the early afternoon.\"\n2244,2011/06/21,I had a burger for dinner with Carter,I had a burger for dinner with Carter\n2245,2011/06/21,\"I spent 42 talking to Piper, Lydia, Piper, Nora on various topics in the morning.\",\"I spent 42 talking to Piper, Lydia, Piper, Nora on various topics in the morning.\"\n2246,2011/06/21,\"I spent 44 talking to Kinsley, Nora, Eva, Layla on various topics in the morning.\",\"I spent 44 talking to Kinsley, Nora, Eva, Layla on various topics in the morning.\"\n2247,2011/06/21,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n2248,2011/06/21,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n2249,2011/06/22,I did hiking on 2011/06/22.,I did hiking on 2011/06/22.\n2250,2011/06/22,\"I had lunch with Jackson, Avery. I ate pasta.\",\"I had lunch with Jackson, Avery. I ate pasta.\"\n2251,2011/06/22,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n2252,2011/06/22,\"I talked to Kinsley, Rylee, Eva, Piper for 45 minutes in the late afternoon.\",\"I talked to Kinsley, Rylee, Eva, Piper for 45 minutes in the late afternoon.\"\n2253,2011/06/22,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n2254,2011/06/23,I ate chinese food for dinner.,I ate chinese food for dinner.\n2255,2011/06/23,\"I spent 27 talking to Lydia, Piper on various topics during lunch hours.\",\"I spent 27 talking to Lydia, Piper on various topics during lunch hours.\"\n2256,2011/06/24,\"I went grocery shopping. I bought some mangos, strawberries, pineapples, apricots, apple juice, coffee, pineapple juice, and toothpaste, facial wash\",\"I went grocery shopping. I bought some mangos, strawberries, pineapples, apricots, apple juice, coffee, pineapple juice, and toothpaste, facial wash\"\n2257,2011/06/24,I did hiking on 2011/06/24.,I did hiking on 2011/06/24.\n2258,2011/06/24,\"I had peanut-butter-jam for breakfast with Carter, Kayden, Andrew\",\"I had peanut-butter-jam for breakfast with Carter, Kayden, Andrew\"\n2259,2011/06/24,\"I talked to Layla, Claire for 26 minutes in the morning.\",\"I talked to Layla, Claire for 26 minutes in the morning.\"\n2260,2011/06/24,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n2261,2011/06/25,I went on a date with Alon on 2011/06/25 at a park,I went on a date with Alon on 2011/06/25 at a park\n2262,2011/06/25,I did weight lifting on 2011/06/25.,I did weight lifting on 2011/06/25.\n2263,2011/06/25,I ate steak for lunch.,I ate steak for lunch.\n2264,2011/06/26,\"I had pasta for lunch with Kinsley, Eva, Nora\",\"I had pasta for lunch with Kinsley, Eva, Nora\"\n2265,2011/06/26,\"I talked to Nevaeh, Claire, Rylee, Layla for 20 minutes in the early afternoon.\",\"I talked to Nevaeh, Claire, Rylee, Layla for 20 minutes in the early afternoon.\"\n2266,2011/06/26,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n2267,2011/06/27,I did weight lifting on 2011/06/27.,I did weight lifting on 2011/06/27.\n2268,2011/06/27,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2269,2011/06/27,I had lunch. I ate steak.,I had lunch. I ate steak.\n2270,2011/06/27,I prepare tacos for dinner.,I prepare tacos for dinner.\n2271,2011/06/27,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n2272,2011/06/28,\"I had a burger for lunch with Layla, Claire, Piper, Olivia, Avery, Eva, Hazel, Nevaeh, Rylee, Kinsley\",\"I had a burger for lunch with Layla, Claire, Piper, Olivia, Avery, Eva, Hazel, Nevaeh, Rylee, Kinsley\"\n2273,2011/06/28,I spent 37 talking to Layla on various topics in the early evening.,I spent 37 talking to Layla on various topics in the early evening.\n2274,2011/06/28,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n2275,2011/06/28,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n2276,2011/06/29,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n2277,2011/06/29,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n2278,2011/06/29,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n2279,2011/06/30,\"I spent time gardening on 2011/06/30 with Andrew, Carter, Emily.\",\"I spent time gardening on 2011/06/30 with Andrew, Carter, Emily.\"\n2280,2011/06/30,\"I bought some strawberries, clementines, oranges, mineral water, sports drinks, tea, facial wash, toilet paper, mouthwash online.\",\"I bought some strawberries, clementines, oranges, mineral water, sports drinks, tea, facial wash, toilet paper, mouthwash online.\"\n2281,2011/06/30,I did HIIT on 2011/06/30.,I did HIIT on 2011/06/30.\n2282,2011/06/30,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n2283,2011/06/30,\"I had tacos for lunch with Piper, Hazel, Layla, Rylee\",\"I had tacos for lunch with Piper, Hazel, Layla, Rylee\"\n2284,2011/06/30,I talked to Avery for 49 minutes in the early afternoon.,I talked to Avery for 49 minutes in the early afternoon.\n2285,2011/06/30,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n2286,2011/06/30,I spent 54 minutes watching a movie on TV today.,I spent 54 minutes watching a movie on TV today.\n2287,2011/07/01,\"I had pasta for lunch with Kayden, Andrew\",\"I had pasta for lunch with Kayden, Andrew\"\n2288,2011/07/01,\"I had pasta for dinner with Willow, Benjamin, Jackson, Avery\",\"I had pasta for dinner with Willow, Benjamin, Jackson, Avery\"\n2289,2011/07/01,\"I spent 47 talking to Piper, Nevaeh, Hazel on various topics in the morning.\",\"I spent 47 talking to Piper, Nevaeh, Hazel on various topics in the morning.\"\n2290,2011/07/02,I did biking on 2011/07/02.,I did biking on 2011/07/02.\n2291,2011/07/02,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n2292,2011/07/02,I had steak for lunch with Nora,I had steak for lunch with Nora\n2293,2011/07/02,\"I had dinner with Andrew, Emily, Kayden. I ate indian food.\",\"I had dinner with Andrew, Emily, Kayden. I ate indian food.\"\n2294,2011/07/02,\"I talked to Claire, Nora, Avery for 55 minutes in the late afternoon.\",\"I talked to Claire, Nora, Avery for 55 minutes in the late afternoon.\"\n2295,2011/07/02,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n2296,2011/07/02,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n2297,2011/07/03,I really enjoyed working out on 2011/07/03,I really enjoyed working out on 2011/07/03\n2298,2011/07/03,I did running on 2011/07/03.,I did running on 2011/07/03.\n2299,2011/07/03,\"I talked to Avery, Rylee, Nora, Lydia for 19 minutes in the morning.\",\"I talked to Avery, Rylee, Nora, Lydia for 19 minutes in the morning.\"\n2300,2011/07/03,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n2301,2011/07/04,\"On 2011/07/04, I took Kai on a date to a boba shop\",\"On 2011/07/04, I took Kai on a date to a boba shop\"\n2302,2011/07/04,\"I went grocery shopping. I bought some apples, mangos, guava, guava juice, tea, and body lotion, facial wash, toilet paper\",\"I went grocery shopping. I bought some apples, mangos, guava, guava juice, tea, and body lotion, facial wash, toilet paper\"\n2303,2011/07/04,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n2304,2011/07/05,I did biking on 2011/07/05.,I did biking on 2011/07/05.\n2305,2011/07/05,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n2306,2011/07/05,\"I had lunch with Kayden, Carter, Andrew, Emily. I ate sandwich.\",\"I had lunch with Kayden, Carter, Andrew, Emily. I ate sandwich.\"\n2307,2011/07/05,I prepare tacos for dinner.,I prepare tacos for dinner.\n2308,2011/07/05,\"I spent 31 talking to Claire, Eva, Piper on various topics in the morning.\",\"I spent 31 talking to Claire, Eva, Piper on various topics in the morning.\"\n2309,2011/07/05,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n2310,2011/07/05,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n2311,2011/07/06,\"I went grocery shopping with Avery, Layla, Hazel, Olivia, Claire. I bought some mandarins, oranges, cherres, orange juice, mineral water, guava juice, and shaving cream, toilet paper, body lotion, conditioner\",\"I went grocery shopping with Avery, Layla, Hazel, Olivia, Claire. I bought some mandarins, oranges, cherres, orange juice, mineral water, guava juice, and shaving cream, toilet paper, body lotion, conditioner\"\n2312,2011/07/06,\"I had oatmeal for breakfast with Emily, Kayden, Andrew, Carter\",\"I had oatmeal for breakfast with Emily, Kayden, Andrew, Carter\"\n2313,2011/07/06,I ate indian food for lunch.,I ate indian food for lunch.\n2314,2011/07/06,\"I spent 16 talking to Claire, Avery, Lydia on various topics in the early afternoon.\",\"I spent 16 talking to Claire, Avery, Lydia on various topics in the early afternoon.\"\n2315,2011/07/07,I did biking on 2011/07/07.,I did biking on 2011/07/07.\n2316,2011/07/07,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n2317,2011/07/07,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n2318,2011/07/08,I went on a date with Josiah on 2011/07/08 at a restaurant,I went on a date with Josiah on 2011/07/08 at a restaurant\n2319,2011/07/08,\"I talked to Nevaeh, Rylee, Piper, Piper for 54 minutes in the morning.\",\"I talked to Nevaeh, Rylee, Piper, Piper for 54 minutes in the morning.\"\n2320,2011/07/08,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n2321,2011/07/08,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n2322,2011/07/09,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n2323,2011/07/09,\"I spent 7 talking to Rylee, Hazel on various topics in the early afternoon.\",\"I spent 7 talking to Rylee, Hazel on various topics in the early afternoon.\"\n2324,2011/07/09,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n2325,2011/07/10,I spent time meditation on 2011/07/10 with Carter.,I spent time meditation on 2011/07/10 with Carter.\n2326,2011/07/10,I did biking on 2011/07/10.,I did biking on 2011/07/10.\n2327,2011/07/10,\"I had peanut-butter-jam for breakfast with Carter, Andrew\",\"I had peanut-butter-jam for breakfast with Carter, Andrew\"\n2328,2011/07/10,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n2329,2011/07/10,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n2330,2011/07/11,I did swimming on 2011/07/11.,I did swimming on 2011/07/11.\n2331,2011/07/11,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n2332,2011/07/11,\"I spent 45 talking to Eva, Layla, Claire on various topics in the late afternoon.\",\"I spent 45 talking to Eva, Layla, Claire on various topics in the late afternoon.\"\n2333,2011/07/12,\"I bought some watermelons, strawberries, mandarins, guava juice, mango juice, mouthwash from the grocery store. I saw Benjamin, Willow, Jackson, Avery at the grocery store.\",\"I bought some watermelons, strawberries, mandarins, guava juice, mango juice, mouthwash from the grocery store. I saw Benjamin, Willow, Jackson, Avery at the grocery store.\"\n2334,2011/07/12,I did biking on 2011/07/12.,I did biking on 2011/07/12.\n2335,2011/07/12,I had breakfast with Nevaeh. I ate toast and cheese.,I had breakfast with Nevaeh. I ate toast and cheese.\n2336,2011/07/12,\"I had a burger for lunch with Andrew, Carter, Kayden\",\"I had a burger for lunch with Andrew, Carter, Kayden\"\n2337,2011/07/12,\"I spent 5 talking to Piper, Rylee, Piper on various topics in the morning.\",\"I spent 5 talking to Piper, Rylee, Piper on various topics in the morning.\"\n2338,2011/07/12,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n2339,2011/07/13,I did HIIT on 2011/07/13.,I did HIIT on 2011/07/13.\n2340,2011/07/13,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n2341,2011/07/13,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n2342,2011/07/14,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n2343,2011/07/14,\"I had chinese food for lunch with Jackson, Benjamin, Avery, Willow\",\"I had chinese food for lunch with Jackson, Benjamin, Avery, Willow\"\n2344,2011/07/14,\"I spent 43 talking to Claire, Kinsley, Olivia on various topics in the early afternoon.\",\"I spent 43 talking to Claire, Kinsley, Olivia on various topics in the early afternoon.\"\n2345,2011/07/15,\"I spent 23 talking to Rylee, Hazel, Eva on various topics in the early afternoon.\",\"I spent 23 talking to Rylee, Hazel, Eva on various topics in the early afternoon.\"\n2346,2011/07/15,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n2347,2011/07/15,I spent 8 minutes watching a movie on TV today.,I spent 8 minutes watching a movie on TV today.\n2348,2011/07/16,I spent some time yoga on 2011/07/16.,I spent some time yoga on 2011/07/16.\n2349,2011/07/16,I did running on 2011/07/16.,I did running on 2011/07/16.\n2350,2011/07/16,\"I had lunch with Avery, Layla, Claire. I ate fish and chips.\",\"I had lunch with Avery, Layla, Claire. I ate fish and chips.\"\n2351,2011/07/16,\"I talked to Piper, Nora for 12 minutes in the morning.\",\"I talked to Piper, Nora for 12 minutes in the morning.\"\n2352,2011/07/16,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n2353,2011/07/17,\"I had toast and cheese for breakfast with Nora, Hazel, Kinsley, Eva, Claire, Nevaeh, Piper\",\"I had toast and cheese for breakfast with Nora, Hazel, Kinsley, Eva, Claire, Nevaeh, Piper\"\n2354,2011/07/17,\"I had chinese food for dinner with Emily, Carter, Kayden\",\"I had chinese food for dinner with Emily, Carter, Kayden\"\n2355,2011/07/17,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n2356,2011/07/17,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n2357,2011/07/18,I ate sushi for lunch.,I ate sushi for lunch.\n2358,2011/07/18,\"I talked to Kinsley, Nora, Eva, Layla for 18 minutes in the late afternoon.\",\"I talked to Kinsley, Nora, Eva, Layla for 18 minutes in the late afternoon.\"\n2359,2011/07/18,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n2360,2011/07/18,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n2361,2011/07/19,\"I went grocery shopping with Avery, Benjamin, Willow. I bought some watermelons, mandarins, pineapples, apple juice, guava juice, and body lotion, mouthwash, paper towel, shaving cream\",\"I went grocery shopping with Avery, Benjamin, Willow. I bought some watermelons, mandarins, pineapples, apple juice, guava juice, and body lotion, mouthwash, paper towel, shaving cream\"\n2362,2011/07/19,I did weight lifting on 2011/07/19.,I did weight lifting on 2011/07/19.\n2363,2011/07/19,\"I spent 43 talking to Avery, Lydia, Rylee on various topics late in the evening.\",\"I spent 43 talking to Avery, Lydia, Rylee on various topics late in the evening.\"\n2364,2011/07/19,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n2365,2011/07/19,I spent 31 minutes watching a tv series on TV today.,I spent 31 minutes watching a tv series on TV today.\n2366,2011/07/20,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n2367,2011/07/20,I ate pasta for lunch.,I ate pasta for lunch.\n2368,2011/07/20,\"I spent 46 talking to Olivia, Avery on various topics during lunch hours.\",\"I spent 46 talking to Olivia, Avery on various topics during lunch hours.\"\n2369,2011/07/20,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n2370,2011/07/21,\"On 2011/07/21, I took Alice on a date to a boba shop\",\"On 2011/07/21, I took Alice on a date to a boba shop\"\n2371,2011/07/21,I really enjoyed working out on 2011/07/21,I really enjoyed working out on 2011/07/21\n2372,2011/07/21,I did hiking on 2011/07/21.,I did hiking on 2011/07/21.\n2373,2011/07/21,\"I had dinner with Avery, Jackson, Willow. I ate steak.\",\"I had dinner with Avery, Jackson, Willow. I ate steak.\"\n2374,2011/07/21,\"I talked to Rylee, Nevaeh, Piper for 22 minutes in the morning.\",\"I talked to Rylee, Nevaeh, Piper for 22 minutes in the morning.\"\n2375,2011/07/21,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n2376,2011/07/21,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n2377,2011/07/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2378,2011/07/22,I had dinner with Emily. I ate fish and chips.,I had dinner with Emily. I ate fish and chips.\n2379,2011/07/22,\"I spent 17 talking to Piper, Rylee, Nora, Eva on various topics in the early afternoon.\",\"I spent 17 talking to Piper, Rylee, Nora, Eva on various topics in the early afternoon.\"\n2380,2011/07/22,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n2381,2011/07/22,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n2382,2011/07/23,I did running on 2011/07/23.,I did running on 2011/07/23.\n2383,2011/07/23,\"I had pancakes for breakfast with Kayden, Carter\",\"I had pancakes for breakfast with Kayden, Carter\"\n2384,2011/07/23,I had lunch with Carter. I ate chinese food.,I had lunch with Carter. I ate chinese food.\n2385,2011/07/23,I prepare indian food for dinner.,I prepare indian food for dinner.\n2386,2011/07/23,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n2387,2011/07/24,\"I bought some apricots, oranges, soda, body lotion, mouth wash online.\",\"I bought some apricots, oranges, soda, body lotion, mouth wash online.\"\n2388,2011/07/24,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2389,2011/07/24,\"I had lunch with Hazel, Rylee. I ate tacos.\",\"I had lunch with Hazel, Rylee. I ate tacos.\"\n2390,2011/07/24,\"I talked to Lydia, Rylee for 51 minutes during lunch hours.\",\"I talked to Lydia, Rylee for 51 minutes during lunch hours.\"\n2391,2011/07/24,\"I spent 41 talking to Lydia, Nora on various topics in the early evening.\",\"I spent 41 talking to Lydia, Nora on various topics in the early evening.\"\n2392,2011/07/24,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n2393,2011/07/24,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n2394,2011/07/25,I went on a date with Ethan on 2011/07/25 at a park,I went on a date with Ethan on 2011/07/25 at a park\n2395,2011/07/25,I did biking on 2011/07/25.,I did biking on 2011/07/25.\n2396,2011/07/25,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n2397,2011/07/25,\"I had lunch with Benjamin, Avery, Willow, Jackson. I ate sandwich.\",\"I had lunch with Benjamin, Avery, Willow, Jackson. I ate sandwich.\"\n2398,2011/07/25,I prepare pasta for dinner.,I prepare pasta for dinner.\n2399,2011/07/25,\"I talked to Kinsley, Lydia, Claire for 14 minutes in the early afternoon.\",\"I talked to Kinsley, Lydia, Claire for 14 minutes in the early afternoon.\"\n2400,2011/07/25,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n2401,2011/07/26,I did weight lifting on 2011/07/26.,I did weight lifting on 2011/07/26.\n2402,2011/07/26,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n2403,2011/07/26,\"I had dinner with Nora, Hazel, Lydia, Claire, Eva, Rylee, Avery, Nevaeh. I ate fish and chips.\",\"I had dinner with Nora, Hazel, Lydia, Claire, Eva, Rylee, Avery, Nevaeh. I ate fish and chips.\"\n2404,2011/07/26,I talked to Kinsley for 14 minutes during lunch hours.,I talked to Kinsley for 14 minutes during lunch hours.\n2405,2011/07/27,\"I had dinner with Andrew, Kayden. I ate sushi.\",\"I had dinner with Andrew, Kayden. I ate sushi.\"\n2406,2011/07/27,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n2407,2011/07/28,I did running on 2011/07/28.,I did running on 2011/07/28.\n2408,2011/07/28,\"I had lunch with Andrew, Kayden, Carter. I ate a burger.\",\"I had lunch with Andrew, Kayden, Carter. I ate a burger.\"\n2409,2011/07/28,\"I had chinese food for dinner with Kayden, Emily, Andrew\",\"I had chinese food for dinner with Kayden, Emily, Andrew\"\n2410,2011/07/28,\"I spent 28 talking to Eva, Rylee, Nora on various topics in the early evening.\",\"I spent 28 talking to Eva, Rylee, Nora on various topics in the early evening.\"\n2411,2011/07/28,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n2412,2011/07/28,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n2413,2011/07/29,I spent some time meditation on 2011/07/29.,I spent some time meditation on 2011/07/29.\n2414,2011/07/29,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n2415,2011/07/29,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n2416,2011/07/29,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n2417,2011/07/29,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n2418,2011/07/30,I had lunch. I ate steak.,I had lunch. I ate steak.\n2419,2011/07/30,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n2420,2011/07/30,\"I talked to Claire, Nevaeh, Lydia, Avery for 29 minutes in the early evening.\",\"I talked to Claire, Nevaeh, Lydia, Avery for 29 minutes in the early evening.\"\n2421,2011/07/30,\"I talked to Layla, Avery, Nevaeh for 9 minutes in the morning.\",\"I talked to Layla, Avery, Nevaeh for 9 minutes in the morning.\"\n2422,2011/07/30,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n2423,2011/07/30,I spent 39 minutes watching a tv series on TV today.,I spent 39 minutes watching a tv series on TV today.\n2424,2011/07/31,\"I had lunch with Olivia, Rylee, Nora, Eva, Piper, Lydia. I ate sandwich.\",\"I had lunch with Olivia, Rylee, Nora, Eva, Piper, Lydia. I ate sandwich.\"\n2425,2011/07/31,\"I spent 13 talking to Kinsley, Nevaeh, Claire on various topics in the early evening.\",\"I spent 13 talking to Kinsley, Nevaeh, Claire on various topics in the early evening.\"\n2426,2011/08/01,\"I bought some watermelons, peaches, mandarins, oranges, mineral water, pineapple juice, sports drinks, mouthwash, conditioner, toothpaste, paper towel from the grocery store. I saw Layla, Rylee, Hazel, Kinsley, Olivia, Lydia at the grocery store.\",\"I bought some watermelons, peaches, mandarins, oranges, mineral water, pineapple juice, sports drinks, mouthwash, conditioner, toothpaste, paper towel from the grocery store. I saw Layla, Rylee, Hazel, Kinsley, Olivia, Lydia at the grocery store.\"\n2427,2011/08/01,I did swimming on 2011/08/01.,I did swimming on 2011/08/01.\n2428,2011/08/01,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n2429,2011/08/01,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n2430,2011/08/01,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n2431,2011/08/01,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n2432,2011/08/02,\"I had lunch with Jackson, Avery, Benjamin, Willow. I ate pasta.\",\"I had lunch with Jackson, Avery, Benjamin, Willow. I ate pasta.\"\n2433,2011/08/02,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n2434,2011/08/02,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n2435,2011/08/03,I did swimming on 2011/08/03.,I did swimming on 2011/08/03.\n2436,2011/08/03,I ate indian food for lunch.,I ate indian food for lunch.\n2437,2011/08/03,I spent 43 talking to Avery on various topics during lunch hours.,I spent 43 talking to Avery on various topics during lunch hours.\n2438,2011/08/03,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n2439,2011/08/04,I went on a date with David on 2011/08/04 at a restaurant,I went on a date with David on 2011/08/04 at a restaurant\n2440,2011/08/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n2441,2011/08/04,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n2442,2011/08/04,\"I had dinner with Avery, Jackson, Willow, Benjamin. I ate fish and chips.\",\"I had dinner with Avery, Jackson, Willow, Benjamin. I ate fish and chips.\"\n2443,2011/08/05,I spent some time gardening on 2011/08/05.,I spent some time gardening on 2011/08/05.\n2444,2011/08/05,I did swimming on 2011/08/05.,I did swimming on 2011/08/05.\n2445,2011/08/05,\"I had sushi for dinner with Kayden, Carter, Emily\",\"I had sushi for dinner with Kayden, Carter, Emily\"\n2446,2011/08/05,I spent 35 talking to Avery on various topics in the early evening.,I spent 35 talking to Avery on various topics in the early evening.\n2447,2011/08/05,\"I talked to Piper, Nevaeh, Rylee for 6 minutes in the early afternoon.\",\"I talked to Piper, Nevaeh, Rylee for 6 minutes in the early afternoon.\"\n2448,2011/08/05,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n2449,2011/08/06,\"I spent time learning a language on 2011/08/06 with Willow, Benjamin.\",\"I spent time learning a language on 2011/08/06 with Willow, Benjamin.\"\n2450,2011/08/06,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2451,2011/08/06,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n2452,2011/08/06,I spent 31 talking to Nevaeh on various topics in the early evening.,I spent 31 talking to Nevaeh on various topics in the early evening.\n2453,2011/08/06,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n2454,2011/08/07,I went on a date with Hailey on 2011/08/07 at a coffee Shop,I went on a date with Hailey on 2011/08/07 at a coffee Shop\n2455,2011/08/07,I ate chinese food for lunch.,I ate chinese food for lunch.\n2456,2011/08/07,I ate sushi for dinner.,I ate sushi for dinner.\n2457,2011/08/07,I spent 47 talking to Kinsley on various topics in the early afternoon.,I spent 47 talking to Kinsley on various topics in the early afternoon.\n2458,2011/08/07,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n2459,2011/08/08,\"I went grocery shopping with Andrew, Carter. I bought some pears, pineapples, mango juice, coffee, apple juice, tea, and shaving cream, toothpaste\",\"I went grocery shopping with Andrew, Carter. I bought some pears, pineapples, mango juice, coffee, apple juice, tea, and shaving cream, toothpaste\"\n2460,2011/08/08,I did hiking on 2011/08/08.,I did hiking on 2011/08/08.\n2461,2011/08/08,\"I had tacos for lunch with Willow, Jackson\",\"I had tacos for lunch with Willow, Jackson\"\n2462,2011/08/08,\"I had pasta for dinner with Nora, Eva, Claire, Rylee, Lydia, Piper, Olivia, Avery, Hazel, Piper, Layla\",\"I had pasta for dinner with Nora, Eva, Claire, Rylee, Lydia, Piper, Olivia, Avery, Hazel, Piper, Layla\"\n2463,2011/08/08,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n2464,2011/08/09,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n2465,2011/08/09,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n2466,2011/08/09,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n2467,2011/08/10,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n2468,2011/08/10,\"I had steak for dinner with Carter, Kayden, Emily, Andrew\",\"I had steak for dinner with Carter, Kayden, Emily, Andrew\"\n2469,2011/08/10,\"I talked to Eva, Lydia, Layla for 42 minutes in the early evening.\",\"I talked to Eva, Lydia, Layla for 42 minutes in the early evening.\"\n2470,2011/08/10,\"I talked to Hazel, Piper, Claire, Eva for 49 minutes late in the evening.\",\"I talked to Hazel, Piper, Claire, Eva for 49 minutes late in the evening.\"\n2471,2011/08/11,I did running on 2011/08/11.,I did running on 2011/08/11.\n2472,2011/08/11,I ate a burger for dinner.,I ate a burger for dinner.\n2473,2011/08/11,\"I spent 30 talking to Olivia, Avery on various topics in the morning.\",\"I spent 30 talking to Olivia, Avery on various topics in the morning.\"\n2474,2011/08/11,I spent 23 talking to Eva on various topics in the late afternoon.,I spent 23 talking to Eva on various topics in the late afternoon.\n2475,2011/08/11,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n2476,2011/08/11,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n2477,2011/08/12,\"On 2011/08/12, I took Axel on a date to a restaurant\",\"On 2011/08/12, I took Axel on a date to a restaurant\"\n2478,2011/08/12,I did running on 2011/08/12.,I did running on 2011/08/12.\n2479,2011/08/12,I prepare steak for lunch.,I prepare steak for lunch.\n2480,2011/08/12,\"I spent 17 talking to Claire, Eva, Nevaeh, Piper on various topics in the morning.\",\"I spent 17 talking to Claire, Eva, Nevaeh, Piper on various topics in the morning.\"\n2481,2011/08/12,I watched news for 52 minutes on TV today.,I watched news for 52 minutes on TV today.\n2482,2011/08/13,I did running on 2011/08/13.,I did running on 2011/08/13.\n2483,2011/08/13,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n2484,2011/08/14,I did running on 2011/08/14.,I did running on 2011/08/14.\n2485,2011/08/14,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n2486,2011/08/14,\"I spent 6 talking to Lydia, Kinsley on various topics late in the evening.\",\"I spent 6 talking to Lydia, Kinsley on various topics late in the evening.\"\n2487,2011/08/14,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n2488,2011/08/15,\"On 2011/08/15, I took Layla on a date to a park\",\"On 2011/08/15, I took Layla on a date to a park\"\n2489,2011/08/15,\"I bought some guava, pears, watermelons, tea, apple juice, guava juice, coffee, paper towel, shampoo online.\",\"I bought some guava, pears, watermelons, tea, apple juice, guava juice, coffee, paper towel, shampoo online.\"\n2490,2011/08/15,I had chinese food for lunch with Kayden,I had chinese food for lunch with Kayden\n2491,2011/08/15,\"I had dinner with Carter, Kayden. I ate steak.\",\"I had dinner with Carter, Kayden. I ate steak.\"\n2492,2011/08/15,I spent 53 talking to Piper on various topics late in the evening.,I spent 53 talking to Piper on various topics late in the evening.\n2493,2011/08/16,\"I had sandwich for dinner with Avery, Jackson\",\"I had sandwich for dinner with Avery, Jackson\"\n2494,2011/08/16,I spent 32 talking to Hazel on various topics in the early evening.,I spent 32 talking to Hazel on various topics in the early evening.\n2495,2011/08/16,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n2496,2011/08/17,I did running on 2011/08/17.,I did running on 2011/08/17.\n2497,2011/08/17,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n2498,2011/08/17,I prepare indian food for dinner.,I prepare indian food for dinner.\n2499,2011/08/18,I had pasta for dinner with Kayden,I had pasta for dinner with Kayden\n2500,2011/08/18,\"I spent 20 talking to Nora, Eva, Olivia, Nevaeh on various topics in the early afternoon.\",\"I spent 20 talking to Nora, Eva, Olivia, Nevaeh on various topics in the early afternoon.\"\n2501,2011/08/18,\"I spent 13 talking to Claire, Nora on various topics in the late afternoon.\",\"I spent 13 talking to Claire, Nora on various topics in the late afternoon.\"\n2502,2011/08/19,\"On 2011/08/19, I took Valentina on a date to a boba shop\",\"On 2011/08/19, I took Valentina on a date to a boba shop\"\n2503,2011/08/19,I did swimming on 2011/08/19.,I did swimming on 2011/08/19.\n2504,2011/08/19,\"I had dinner with Hazel, Claire, Lydia, Piper. I ate pasta.\",\"I had dinner with Hazel, Claire, Lydia, Piper. I ate pasta.\"\n2505,2011/08/20,\"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Kayden, Emily\",\"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Kayden, Emily\"\n2506,2011/08/20,I had lunch with Carter. I ate tacos.,I had lunch with Carter. I ate tacos.\n2507,2011/08/20,\"I had dinner with Nora, Lydia, Nevaeh, Avery, Layla, Hazel, Eva, Piper, Piper, Rylee. I ate sandwich.\",\"I had dinner with Nora, Lydia, Nevaeh, Avery, Layla, Hazel, Eva, Piper, Piper, Rylee. I ate sandwich.\"\n2508,2011/08/20,I spent 11 talking to Hazel on various topics in the early evening.,I spent 11 talking to Hazel on various topics in the early evening.\n2509,2011/08/21,I did running on 2011/08/21.,I did running on 2011/08/21.\n2510,2011/08/21,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n2511,2011/08/21,\"I had dinner with Nora, Olivia, Claire, Rylee, Kinsley, Piper, Nevaeh, Lydia, Hazel, Layla, Avery, Piper. I ate steak.\",\"I had dinner with Nora, Olivia, Claire, Rylee, Kinsley, Piper, Nevaeh, Lydia, Hazel, Layla, Avery, Piper. I ate steak.\"\n2512,2011/08/21,\"I talked to Lydia, Rylee for 52 minutes in the morning.\",\"I talked to Lydia, Rylee for 52 minutes in the morning.\"\n2513,2011/08/21,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n2514,2011/08/22,I did hiking on 2011/08/22.,I did hiking on 2011/08/22.\n2515,2011/08/22,\"I had oatmeal for breakfast with Olivia, Nora, Piper, Layla, Claire, Lydia, Hazel\",\"I had oatmeal for breakfast with Olivia, Nora, Piper, Layla, Claire, Lydia, Hazel\"\n2516,2011/08/22,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n2517,2011/08/23,\"I bought some raspberries, chocolate milk, pineapple juice, sports drinks, orange juice, mouthwash, mouth wash online.\",\"I bought some raspberries, chocolate milk, pineapple juice, sports drinks, orange juice, mouthwash, mouth wash online.\"\n2518,2011/08/23,I did hiking on 2011/08/23.,I did hiking on 2011/08/23.\n2519,2011/08/23,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2520,2011/08/23,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n2521,2011/08/23,\"I spent 28 talking to Claire, Nevaeh on various topics in the late afternoon.\",\"I spent 28 talking to Claire, Nevaeh on various topics in the late afternoon.\"\n2522,2011/08/24,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2523,2011/08/24,\"I spent 45 talking to Layla, Piper, Nevaeh, Hazel on various topics late in the evening.\",\"I spent 45 talking to Layla, Piper, Nevaeh, Hazel on various topics late in the evening.\"\n2524,2011/08/24,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n2525,2011/08/24,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n2526,2011/08/25,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2527,2011/08/25,\"I had fish and chips for dinner with Andrew, Emily, Carter, Kayden\",\"I had fish and chips for dinner with Andrew, Emily, Carter, Kayden\"\n2528,2011/08/26,I did weight lifting on 2011/08/26.,I did weight lifting on 2011/08/26.\n2529,2011/08/26,I ate steak for lunch.,I ate steak for lunch.\n2530,2011/08/26,I ate tacos for dinner.,I ate tacos for dinner.\n2531,2011/08/26,\"I talked to Claire, Eva for 34 minutes in the late afternoon.\",\"I talked to Claire, Eva for 34 minutes in the late afternoon.\"\n2532,2011/08/26,I spent 50 talking to Kinsley on various topics late in the evening.,I spent 50 talking to Kinsley on various topics late in the evening.\n2533,2011/08/26,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n2534,2011/08/27,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n2535,2011/08/27,I had lunch with Kayden. I ate chinese food.,I had lunch with Kayden. I ate chinese food.\n2536,2011/08/27,\"I had sushi for dinner with Rylee, Piper, Lydia, Hazel, Layla, Olivia\",\"I had sushi for dinner with Rylee, Piper, Lydia, Hazel, Layla, Olivia\"\n2537,2011/08/27,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n2538,2011/08/28,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n2539,2011/08/28,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n2540,2011/08/29,I did biking on 2011/08/29.,I did biking on 2011/08/29.\n2541,2011/08/29,I had dinner with Andrew. I ate fish and chips.,I had dinner with Andrew. I ate fish and chips.\n2542,2011/08/29,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n2543,2011/08/29,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n2544,2011/08/30,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n2545,2011/08/30,\"I had fish and chips for lunch with Willow, Avery, Benjamin\",\"I had fish and chips for lunch with Willow, Avery, Benjamin\"\n2546,2011/08/30,\"I had chinese food for dinner with Willow, Benjamin, Jackson\",\"I had chinese food for dinner with Willow, Benjamin, Jackson\"\n2547,2011/08/30,\"I talked to Piper, Nevaeh, Layla, Kinsley for 32 minutes in the morning.\",\"I talked to Piper, Nevaeh, Layla, Kinsley for 32 minutes in the morning.\"\n2548,2011/08/30,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n2549,2011/08/31,I went on a date with Autumn on 2011/08/31 at a boba shop,I went on a date with Autumn on 2011/08/31 at a boba shop\n2550,2011/08/31,I did biking on 2011/08/31.,I did biking on 2011/08/31.\n2551,2011/08/31,I had indian food for lunch with Andrew,I had indian food for lunch with Andrew\n2552,2011/08/31,\"I talked to Kinsley, Rylee, Hazel for 8 minutes in the early evening.\",\"I talked to Kinsley, Rylee, Hazel for 8 minutes in the early evening.\"\n2553,2011/08/31,\"I talked to Nora, Eva for 45 minutes in the early evening.\",\"I talked to Nora, Eva for 45 minutes in the early evening.\"\n2554,2011/08/31,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n2555,2011/09/01,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2556,2011/09/01,\"I spent 10 talking to Lydia, Nevaeh on various topics late in the evening.\",\"I spent 10 talking to Lydia, Nevaeh on various topics late in the evening.\"\n2557,2011/09/01,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n2558,2011/09/01,I spent 29 minutes watching a movie on TV today.,I spent 29 minutes watching a movie on TV today.\n2559,2011/09/02,I had fish and chips for lunch with Jackson,I had fish and chips for lunch with Jackson\n2560,2011/09/02,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n2561,2011/09/03,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n2562,2011/09/03,I prepare a burger for lunch.,I prepare a burger for lunch.\n2563,2011/09/03,I had tacos for dinner with Andrew,I had tacos for dinner with Andrew\n2564,2011/09/03,\"I talked to Piper, Nevaeh, Rylee for 14 minutes in the early evening.\",\"I talked to Piper, Nevaeh, Rylee for 14 minutes in the early evening.\"\n2565,2011/09/03,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n2566,2011/09/03,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n2567,2011/09/04,I went on a date with James on 2011/09/04 at a boba shop,I went on a date with James on 2011/09/04 at a boba shop\n2568,2011/09/04,\"I went grocery shopping with Kinsley, Nevaeh, Rylee, Avery, Piper, Layla. I bought some apples, apricots, mineral water, sports drinks, mango juice, guava juice, and paper towel\",\"I went grocery shopping with Kinsley, Nevaeh, Rylee, Avery, Piper, Layla. I bought some apples, apricots, mineral water, sports drinks, mango juice, guava juice, and paper towel\"\n2569,2011/09/04,\"I had dinner with Emily, Kayden, Andrew, Carter. I ate tacos.\",\"I had dinner with Emily, Kayden, Andrew, Carter. I ate tacos.\"\n2570,2011/09/04,\"I talked to Lydia, Hazel, Piper, Avery for 46 minutes in the early evening.\",\"I talked to Lydia, Hazel, Piper, Avery for 46 minutes in the early evening.\"\n2571,2011/09/04,I watched news for 40 minutes on TV today.,I watched news for 40 minutes on TV today.\n2572,2011/09/05,I ate a burger for lunch.,I ate a burger for lunch.\n2573,2011/09/05,I prepare steak for dinner.,I prepare steak for dinner.\n2574,2011/09/05,\"I talked to Olivia, Piper, Piper, Nevaeh for 25 minutes during lunch hours.\",\"I talked to Olivia, Piper, Piper, Nevaeh for 25 minutes during lunch hours.\"\n2575,2011/09/05,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n2576,2011/09/06,I did weight lifting on 2011/09/06.,I did weight lifting on 2011/09/06.\n2577,2011/09/06,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n2578,2011/09/07,\"I went grocery shopping with Jackson. I bought some guava, mandarins, chocolate milk, guava juice, apple juice, milk, and mouth wash\",\"I went grocery shopping with Jackson. I bought some guava, mandarins, chocolate milk, guava juice, apple juice, milk, and mouth wash\"\n2579,2011/09/07,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2580,2011/09/07,I had steak for lunch with Layla,I had steak for lunch with Layla\n2581,2011/09/07,I prepare pasta for dinner.,I prepare pasta for dinner.\n2582,2011/09/07,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n2583,2011/09/08,\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate peanut-butter-jam.\"\n2584,2011/09/08,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n2585,2011/09/08,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n2586,2011/09/09,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n2587,2011/09/09,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n2588,2011/09/09,I had sushi for dinner with Benjamin,I had sushi for dinner with Benjamin\n2589,2011/09/09,\"I spent 6 talking to Nora, Nevaeh, Olivia, Hazel on various topics during lunch hours.\",\"I spent 6 talking to Nora, Nevaeh, Olivia, Hazel on various topics during lunch hours.\"\n2590,2011/09/09,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n2591,2011/09/09,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n2592,2011/09/10,my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2011/09/10.,my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2011/09/10.\n2593,2011/09/10,I did hiking on 2011/09/10.,I did hiking on 2011/09/10.\n2594,2011/09/10,\"I had breakfast with Emily, Kayden, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Kayden, Andrew. I ate eggs, sausages, and bread.\"\n2595,2011/09/10,\"I had lunch with Avery, Benjamin, Jackson. I ate chinese food.\",\"I had lunch with Avery, Benjamin, Jackson. I ate chinese food.\"\n2596,2011/09/10,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n2597,2011/09/10,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n2598,2011/09/10,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n2599,2011/09/11,I ate cereals for breakfast.,I ate cereals for breakfast.\n2600,2011/09/11,I prepare sushi for lunch.,I prepare sushi for lunch.\n2601,2011/09/11,\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate indian food.\",\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate indian food.\"\n2602,2011/09/11,\"I talked to Nevaeh, Lydia, Nora, Claire for 44 minutes in the early afternoon.\",\"I talked to Nevaeh, Lydia, Nora, Claire for 44 minutes in the early afternoon.\"\n2603,2011/09/11,\"I spent 13 talking to Nora, Claire, Nevaeh on various topics in the late afternoon.\",\"I spent 13 talking to Nora, Claire, Nevaeh on various topics in the late afternoon.\"\n2604,2011/09/11,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n2605,2011/09/12,I did biking on 2011/09/12.,I did biking on 2011/09/12.\n2606,2011/09/12,I talked to Eva for 6 minutes in the early afternoon.,I talked to Eva for 6 minutes in the early afternoon.\n2607,2011/09/13,I did hiking on 2011/09/13.,I did hiking on 2011/09/13.\n2608,2011/09/13,I prepare pasta for lunch.,I prepare pasta for lunch.\n2609,2011/09/13,I ate steak for dinner.,I ate steak for dinner.\n2610,2011/09/13,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n2611,2011/09/14,\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\"\n2612,2011/09/14,I ate sushi for lunch.,I ate sushi for lunch.\n2613,2011/09/14,\"I had tacos for dinner with Andrew, Kayden, Carter, Emily\",\"I had tacos for dinner with Andrew, Kayden, Carter, Emily\"\n2614,2011/09/14,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n2615,2011/09/14,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n2616,2011/09/15,I did hiking on 2011/09/15.,I did hiking on 2011/09/15.\n2617,2011/09/15,I ate sushi for lunch.,I ate sushi for lunch.\n2618,2011/09/15,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n2619,2011/09/16,I did hiking on 2011/09/16.,I did hiking on 2011/09/16.\n2620,2011/09/16,I prepare sushi for lunch.,I prepare sushi for lunch.\n2621,2011/09/16,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n2622,2011/09/16,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n2623,2011/09/17,I did swimming on 2011/09/17.,I did swimming on 2011/09/17.\n2624,2011/09/17,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n2625,2011/09/17,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n2626,2011/09/18,I did swimming on 2011/09/18.,I did swimming on 2011/09/18.\n2627,2011/09/18,I prepare a burger for lunch.,I prepare a burger for lunch.\n2628,2011/09/18,\"I had dinner with Jackson, Willow, Avery, Benjamin. I ate indian food.\",\"I had dinner with Jackson, Willow, Avery, Benjamin. I ate indian food.\"\n2629,2011/09/18,\"I talked to Rylee, Layla for 47 minutes during lunch hours.\",\"I talked to Rylee, Layla for 47 minutes during lunch hours.\"\n2630,2011/09/19,I did HIIT on 2011/09/19.,I did HIIT on 2011/09/19.\n2631,2011/09/19,I had toast and cheese for breakfast with Emily,I had toast and cheese for breakfast with Emily\n2632,2011/09/20,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n2633,2011/09/20,\"I had indian food for dinner with Nevaeh, Olivia, Eva, Nora\",\"I had indian food for dinner with Nevaeh, Olivia, Eva, Nora\"\n2634,2011/09/20,\"I talked to Eva, Nora, Piper for 26 minutes in the morning.\",\"I talked to Eva, Nora, Piper for 26 minutes in the morning.\"\n2635,2011/09/20,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n2636,2011/09/20,I watched a documentary for 36 minutes on TV today.,I watched a documentary for 36 minutes on TV today.\n2637,2011/09/21,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n2638,2011/09/21,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n2639,2011/09/22,I did running on 2011/09/22.,I did running on 2011/09/22.\n2640,2011/09/22,\"I had tacos for lunch with Kinsley, Layla, Piper\",\"I had tacos for lunch with Kinsley, Layla, Piper\"\n2641,2011/09/22,I talked to Rylee for 45 minutes late in the evening.,I talked to Rylee for 45 minutes late in the evening.\n2642,2011/09/22,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n2643,2011/09/23,I did HIIT on 2011/09/23.,I did HIIT on 2011/09/23.\n2644,2011/09/23,\"I had breakfast with Kinsley, Claire, Piper, Rylee, Avery, Nevaeh, Piper, Lydia, Layla, Olivia, Eva, Nora. I ate peanut-butter-jam.\",\"I had breakfast with Kinsley, Claire, Piper, Rylee, Avery, Nevaeh, Piper, Lydia, Layla, Olivia, Eva, Nora. I ate peanut-butter-jam.\"\n2645,2011/09/23,\"I talked to Avery, Piper, Piper, Kinsley for 23 minutes in the late afternoon.\",\"I talked to Avery, Piper, Piper, Kinsley for 23 minutes in the late afternoon.\"\n2646,2011/09/23,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n2647,2011/09/24,I did running on 2011/09/24.,I did running on 2011/09/24.\n2648,2011/09/24,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n2649,2011/09/24,I prepare sushi for lunch.,I prepare sushi for lunch.\n2650,2011/09/24,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n2651,2011/09/24,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n2652,2011/09/25,I did HIIT on 2011/09/25.,I did HIIT on 2011/09/25.\n2653,2011/09/25,I ate cereals for breakfast.,I ate cereals for breakfast.\n2654,2011/09/25,I ate pasta for lunch.,I ate pasta for lunch.\n2655,2011/09/25,I spent 50 talking to Piper on various topics during lunch hours.,I spent 50 talking to Piper on various topics during lunch hours.\n2656,2011/09/25,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n2657,2011/09/25,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n2658,2011/09/26,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n2659,2011/09/26,I ate a burger for lunch.,I ate a burger for lunch.\n2660,2011/09/26,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n2661,2011/09/26,I talked to Eva for 37 minutes in the morning.,I talked to Eva for 37 minutes in the morning.\n2662,2011/09/26,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n2663,2011/09/27,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n2664,2011/09/27,I prepare indian food for lunch.,I prepare indian food for lunch.\n2665,2011/09/27,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n2666,2011/09/28,I did swimming on 2011/09/28.,I did swimming on 2011/09/28.\n2667,2011/09/28,\"I had dinner with Kayden, Andrew. I ate a burger.\",\"I had dinner with Kayden, Andrew. I ate a burger.\"\n2668,2011/09/28,\"I talked to Lydia, Piper, Rylee for 46 minutes in the late afternoon.\",\"I talked to Lydia, Piper, Rylee for 46 minutes in the late afternoon.\"\n2669,2011/09/28,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n2670,2011/09/29,I went on a date with Everleigh on 2011/09/29 at a coffee Shop,I went on a date with Everleigh on 2011/09/29 at a coffee Shop\n2671,2011/09/29,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n2672,2011/09/29,I prepare steak for dinner.,I prepare steak for dinner.\n2673,2011/09/29,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n2674,2011/09/30,\"I went grocery shopping. I bought some oranges, apricots, milk, pineapple juice, apple juice, and shaving cream, toothpaste, facial wash, mouthwash\",\"I went grocery shopping. I bought some oranges, apricots, milk, pineapple juice, apple juice, and shaving cream, toothpaste, facial wash, mouthwash\"\n2675,2011/09/30,\"I had peanut-butter-jam for breakfast with Avery, Willow, Jackson, Benjamin\",\"I had peanut-butter-jam for breakfast with Avery, Willow, Jackson, Benjamin\"\n2676,2011/09/30,I ate steak for lunch.,I ate steak for lunch.\n2677,2011/09/30,\"I spent 9 talking to Piper, Rylee, Lydia, Kinsley on various topics in the late afternoon.\",\"I spent 9 talking to Piper, Rylee, Lydia, Kinsley on various topics in the late afternoon.\"\n2678,2011/10/01,\"I spent 36 talking to Layla, Olivia on various topics in the early afternoon.\",\"I spent 36 talking to Layla, Olivia on various topics in the early afternoon.\"\n2679,2011/10/01,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n2680,2011/10/01,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n2681,2011/10/02,I did HIIT on 2011/10/02.,I did HIIT on 2011/10/02.\n2682,2011/10/02,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2683,2011/10/02,I had steak for dinner with Kayden,I had steak for dinner with Kayden\n2684,2011/10/02,I spent 53 talking to Layla on various topics in the early evening.,I spent 53 talking to Layla on various topics in the early evening.\n2685,2011/10/02,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n2686,2011/10/03,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n2687,2011/10/03,\"I talked to Olivia, Piper, Piper for 48 minutes in the early evening.\",\"I talked to Olivia, Piper, Piper for 48 minutes in the early evening.\"\n2688,2011/10/03,\"I spent 7 talking to Claire, Nora, Olivia, Piper on various topics late in the evening.\",\"I spent 7 talking to Claire, Nora, Olivia, Piper on various topics late in the evening.\"\n2689,2011/10/04,I did biking on 2011/10/04.,I did biking on 2011/10/04.\n2690,2011/10/04,\"I had peanut-butter-jam for breakfast with Piper, Piper, Claire, Eva, Layla, Nora, Rylee\",\"I had peanut-butter-jam for breakfast with Piper, Piper, Claire, Eva, Layla, Nora, Rylee\"\n2691,2011/10/04,\"I had indian food for lunch with Avery, Layla, Claire, Lydia, Kinsley, Rylee, Piper, Piper, Eva, Nevaeh, Olivia, Hazel, Nora\",\"I had indian food for lunch with Avery, Layla, Claire, Lydia, Kinsley, Rylee, Piper, Piper, Eva, Nevaeh, Olivia, Hazel, Nora\"\n2692,2011/10/04,I talked to Claire for 53 minutes in the early afternoon.,I talked to Claire for 53 minutes in the early afternoon.\n2693,2011/10/05,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n2694,2011/10/05,\"I had sushi for lunch with Jackson, Benjamin\",\"I had sushi for lunch with Jackson, Benjamin\"\n2695,2011/10/05,I had dinner with Carter. I ate a burger.,I had dinner with Carter. I ate a burger.\n2696,2011/10/05,\"I talked to Nora, Nevaeh, Eva, Kinsley for 46 minutes in the morning.\",\"I talked to Nora, Nevaeh, Eva, Kinsley for 46 minutes in the morning.\"\n2697,2011/10/06,\"On 2011/10/06, I took Jaxon on a date to a park\",\"On 2011/10/06, I took Jaxon on a date to a park\"\n2698,2011/10/06,I did HIIT on 2011/10/06.,I did HIIT on 2011/10/06.\n2699,2011/10/06,\"I had lunch with Andrew, Kayden. I ate indian food.\",\"I had lunch with Andrew, Kayden. I ate indian food.\"\n2700,2011/10/06,\"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\",\"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\"\n2701,2011/10/06,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n2702,2011/10/06,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n2703,2011/10/07,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n2704,2011/10/07,\"I had indian food for lunch with Willow, Jackson\",\"I had indian food for lunch with Willow, Jackson\"\n2705,2011/10/07,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n2706,2011/10/07,\"I talked to Layla, Kinsley, Eva for 54 minutes during lunch hours.\",\"I talked to Layla, Kinsley, Eva for 54 minutes during lunch hours.\"\n2707,2011/10/07,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n2708,2011/10/07,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n2709,2011/10/08,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n2710,2011/10/08,\"I talked to Rylee, Eva, Hazel, Kinsley for 43 minutes in the late afternoon.\",\"I talked to Rylee, Eva, Hazel, Kinsley for 43 minutes in the late afternoon.\"\n2711,2011/10/08,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n2712,2011/10/09,I did hiking on 2011/10/09.,I did hiking on 2011/10/09.\n2713,2011/10/09,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n2714,2011/10/09,\"I talked to Layla, Piper, Hazel for 9 minutes in the early afternoon.\",\"I talked to Layla, Piper, Hazel for 9 minutes in the early afternoon.\"\n2715,2011/10/09,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n2716,2011/10/10,I did running on 2011/10/10.,I did running on 2011/10/10.\n2717,2011/10/10,I ate indian food for lunch.,I ate indian food for lunch.\n2718,2011/10/10,\"I spent 18 talking to Eva, Olivia on various topics late in the evening.\",\"I spent 18 talking to Eva, Olivia on various topics late in the evening.\"\n2719,2011/10/10,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n2720,2011/10/11,\"I had fish and chips for lunch with Andrew, Carter, Emily, Kayden\",\"I had fish and chips for lunch with Andrew, Carter, Emily, Kayden\"\n2721,2011/10/11,\"I had dinner with Andrew, Emily, Carter, Kayden. I ate sushi.\",\"I had dinner with Andrew, Emily, Carter, Kayden. I ate sushi.\"\n2722,2011/10/11,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n2723,2011/10/11,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n2724,2011/10/12,I ate tacos for lunch.,I ate tacos for lunch.\n2725,2011/10/13,I went on a date with Eleanor on 2011/10/13 at a park,I went on a date with Eleanor on 2011/10/13 at a park\n2726,2011/10/13,\"I bought some pineapples, guava, mangos, sports drinks, pineapple juice, facial wash, toilet paper from the grocery store. I saw Andrew, Kayden, Carter, Emily at the grocery store.\",\"I bought some pineapples, guava, mangos, sports drinks, pineapple juice, facial wash, toilet paper from the grocery store. I saw Andrew, Kayden, Carter, Emily at the grocery store.\"\n2727,2011/10/13,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2728,2011/10/13,\"I had dinner with Kayden, Carter, Andrew. I ate tacos.\",\"I had dinner with Kayden, Carter, Andrew. I ate tacos.\"\n2729,2011/10/13,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n2730,2011/10/13,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n2731,2011/10/14,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n2732,2011/10/14,\"I had indian food for dinner with Claire, Rylee, Nevaeh, Hazel, Kinsley, Piper\",\"I had indian food for dinner with Claire, Rylee, Nevaeh, Hazel, Kinsley, Piper\"\n2733,2011/10/14,\"I talked to Eva, Layla, Lydia, Nevaeh for 20 minutes late in the evening.\",\"I talked to Eva, Layla, Lydia, Nevaeh for 20 minutes late in the evening.\"\n2734,2011/10/15,I did running on 2011/10/15.,I did running on 2011/10/15.\n2735,2011/10/15,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n2736,2011/10/15,\"I talked to Olivia, Hazel, Avery for 39 minutes in the morning.\",\"I talked to Olivia, Hazel, Avery for 39 minutes in the morning.\"\n2737,2011/10/15,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n2738,2011/10/16,\"I had breakfast with Emily, Andrew. I ate oatmeal.\",\"I had breakfast with Emily, Andrew. I ate oatmeal.\"\n2739,2011/10/16,I prepare pasta for lunch.,I prepare pasta for lunch.\n2740,2011/10/16,\"I talked to Piper, Layla, Olivia for 22 minutes during lunch hours.\",\"I talked to Piper, Layla, Olivia for 22 minutes during lunch hours.\"\n2741,2011/10/16,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n2742,2011/10/17,\"I spent 14 talking to Lydia, Avery, Piper on various topics in the early evening.\",\"I spent 14 talking to Lydia, Avery, Piper on various topics in the early evening.\"\n2743,2011/10/17,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n2744,2011/10/18,I really enjoyed working out on 2011/10/18,I really enjoyed working out on 2011/10/18\n2745,2011/10/18,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2746,2011/10/18,I ate sushi for lunch.,I ate sushi for lunch.\n2747,2011/10/18,\"I had dinner with Piper, Avery, Layla, Claire, Olivia. I ate indian food.\",\"I had dinner with Piper, Avery, Layla, Claire, Olivia. I ate indian food.\"\n2748,2011/10/18,\"I talked to Nora, Claire, Layla for 36 minutes in the early afternoon.\",\"I talked to Nora, Claire, Layla for 36 minutes in the early afternoon.\"\n2749,2011/10/18,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n2750,2011/10/18,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n2751,2011/10/19,\"I bought some mandarins, apricots, chocolate milk, soda, milk, conditioner, shampoo, shaving cream, paper towel online.\",\"I bought some mandarins, apricots, chocolate milk, soda, milk, conditioner, shampoo, shaving cream, paper towel online.\"\n2752,2011/10/19,I did hiking on 2011/10/19.,I did hiking on 2011/10/19.\n2753,2011/10/19,I prepare sushi for lunch.,I prepare sushi for lunch.\n2754,2011/10/19,\"I spent 5 talking to Rylee, Kinsley on various topics late in the evening.\",\"I spent 5 talking to Rylee, Kinsley on various topics late in the evening.\"\n2755,2011/10/19,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n2756,2011/10/20,I did biking on 2011/10/20.,I did biking on 2011/10/20.\n2757,2011/10/20,\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate cereals.\",\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate cereals.\"\n2758,2011/10/20,I talked to Nora for 51 minutes during lunch hours.,I talked to Nora for 51 minutes during lunch hours.\n2759,2011/10/20,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n2760,2011/10/21,I ate a burger for lunch.,I ate a burger for lunch.\n2761,2011/10/21,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n2762,2011/10/22,\"I spent time working out on 2011/10/22 with Emily, Carter.\",\"I spent time working out on 2011/10/22 with Emily, Carter.\"\n2763,2011/10/22,I did weight lifting on 2011/10/22.,I did weight lifting on 2011/10/22.\n2764,2011/10/23,I ate sandwich for dinner.,I ate sandwich for dinner.\n2765,2011/10/23,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n2766,2011/10/24,\"I went grocery shopping with Benjamin, Avery, Willow, Jackson. I bought some pineapples, guava, blackberries, tea, milk, and mouth wash, shampoo, toothbrush\",\"I went grocery shopping with Benjamin, Avery, Willow, Jackson. I bought some pineapples, guava, blackberries, tea, milk, and mouth wash, shampoo, toothbrush\"\n2767,2011/10/24,I did weight lifting on 2011/10/24.,I did weight lifting on 2011/10/24.\n2768,2011/10/24,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n2769,2011/10/24,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n2770,2011/10/25,I did biking on 2011/10/25.,I did biking on 2011/10/25.\n2771,2011/10/25,\"I had dinner with Andrew, Emily, Carter. I ate indian food.\",\"I had dinner with Andrew, Emily, Carter. I ate indian food.\"\n2772,2011/10/26,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n2773,2011/10/26,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n2774,2011/10/26,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n2775,2011/10/27,I did weight lifting on 2011/10/27.,I did weight lifting on 2011/10/27.\n2776,2011/10/27,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2777,2011/10/27,I ate pasta for lunch.,I ate pasta for lunch.\n2778,2011/10/27,\"I spent 9 talking to Layla, Olivia, Rylee, Claire on various topics in the early afternoon.\",\"I spent 9 talking to Layla, Olivia, Rylee, Claire on various topics in the early afternoon.\"\n2779,2011/10/27,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n2780,2011/10/28,I went on a date with Willow on 2011/10/28 at a boba shop,I went on a date with Willow on 2011/10/28 at a boba shop\n2781,2011/10/28,I spent some time meditation on 2011/10/28.,I spent some time meditation on 2011/10/28.\n2782,2011/10/28,\"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Emily, Kayden\",\"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Emily, Kayden\"\n2783,2011/10/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n2784,2011/10/28,I talked to Lydia for 52 minutes in the early afternoon.,I talked to Lydia for 52 minutes in the early afternoon.\n2785,2011/10/28,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n2786,2011/10/29,I did swimming on 2011/10/29.,I did swimming on 2011/10/29.\n2787,2011/10/29,\"I had chinese food for lunch with Carter, Emily, Andrew, Kayden\",\"I had chinese food for lunch with Carter, Emily, Andrew, Kayden\"\n2788,2011/10/29,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n2789,2011/10/29,I talked to Kinsley for 45 minutes in the morning.,I talked to Kinsley for 45 minutes in the morning.\n2790,2011/10/29,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n2791,2011/10/30,I did running on 2011/10/30.,I did running on 2011/10/30.\n2792,2011/10/30,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n2793,2011/10/30,I ate pasta for lunch.,I ate pasta for lunch.\n2794,2011/10/30,\"I spent 48 talking to Piper, Kinsley on various topics late in the evening.\",\"I spent 48 talking to Piper, Kinsley on various topics late in the evening.\"\n2795,2011/10/31,\"I bought some peaches, nectarines, apple juice, mango juice, soda, body lotion, facial wash, paper towel online.\",\"I bought some peaches, nectarines, apple juice, mango juice, soda, body lotion, facial wash, paper towel online.\"\n2796,2011/10/31,I ate cereals for breakfast.,I ate cereals for breakfast.\n2797,2011/10/31,\"I had sandwich for dinner with Emily, Kayden\",\"I had sandwich for dinner with Emily, Kayden\"\n2798,2011/10/31,\"I talked to Nora, Nevaeh, Lydia for 8 minutes in the morning.\",\"I talked to Nora, Nevaeh, Lydia for 8 minutes in the morning.\"\n2799,2011/10/31,\"I spent 25 talking to Hazel, Avery on various topics in the late afternoon.\",\"I spent 25 talking to Hazel, Avery on various topics in the late afternoon.\"\n2800,2011/10/31,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n2801,2011/10/31,I watched news for 43 minutes on TV today.,I watched news for 43 minutes on TV today.\n2802,2011/11/01,\"I had breakfast with Nevaeh, Piper, Avery, Nora, Kinsley, Olivia, Layla, Rylee, Piper, Lydia. I ate eggs, sausages, and bread.\",\"I had breakfast with Nevaeh, Piper, Avery, Nora, Kinsley, Olivia, Layla, Rylee, Piper, Lydia. I ate eggs, sausages, and bread.\"\n2803,2011/11/01,I ate a burger for lunch.,I ate a burger for lunch.\n2804,2011/11/01,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n2805,2011/11/01,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n2806,2011/11/01,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n2807,2011/11/02,\"I had fish and chips for lunch with Olivia, Nora, Piper, Eva, Kinsley, Rylee, Claire, Nevaeh, Layla, Avery\",\"I had fish and chips for lunch with Olivia, Nora, Piper, Eva, Kinsley, Rylee, Claire, Nevaeh, Layla, Avery\"\n2808,2011/11/02,I prepare indian food for dinner.,I prepare indian food for dinner.\n2809,2011/11/02,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n2810,2011/11/03,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n2811,2011/11/03,I ate a burger for dinner.,I ate a burger for dinner.\n2812,2011/11/03,I spent 43 talking to Rylee on various topics in the early evening.,I spent 43 talking to Rylee on various topics in the early evening.\n2813,2011/11/03,\"I spent 31 talking to Lydia, Avery, Piper on various topics late in the evening.\",\"I spent 31 talking to Lydia, Avery, Piper on various topics late in the evening.\"\n2814,2011/11/03,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n2815,2011/11/03,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n2816,2011/11/04,I did hiking on 2011/11/04.,I did hiking on 2011/11/04.\n2817,2011/11/04,I had a burger for lunch with Carter,I had a burger for lunch with Carter\n2818,2011/11/04,\"I spent 48 talking to Olivia, Lydia on various topics in the early afternoon.\",\"I spent 48 talking to Olivia, Lydia on various topics in the early afternoon.\"\n2819,2011/11/05,\"I bought some watermelons, guava, blueberries, blackberries, orange juice, pineapple juice, toothbrush, shampoo, conditioner online.\",\"I bought some watermelons, guava, blueberries, blackberries, orange juice, pineapple juice, toothbrush, shampoo, conditioner online.\"\n2820,2011/11/05,\"I had oatmeal for breakfast with Eva, Kinsley, Layla\",\"I had oatmeal for breakfast with Eva, Kinsley, Layla\"\n2821,2011/11/05,\"I had lunch with Benjamin, Willow. I ate indian food.\",\"I had lunch with Benjamin, Willow. I ate indian food.\"\n2822,2011/11/05,I ate indian food for dinner.,I ate indian food for dinner.\n2823,2011/11/05,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n2824,2011/11/06,I had lunch with Layla. I ate pasta.,I had lunch with Layla. I ate pasta.\n2825,2011/11/06,I had dinner. I ate steak.,I had dinner. I ate steak.\n2826,2011/11/06,\"I spent 55 talking to Piper, Rylee, Kinsley, Nevaeh on various topics in the early evening.\",\"I spent 55 talking to Piper, Rylee, Kinsley, Nevaeh on various topics in the early evening.\"\n2827,2011/11/07,I ate chinese food for dinner.,I ate chinese food for dinner.\n2828,2011/11/07,\"I talked to Claire, Piper for 26 minutes in the early afternoon.\",\"I talked to Claire, Piper for 26 minutes in the early afternoon.\"\n2829,2011/11/07,\"I talked to Claire, Piper, Lydia, Rylee for 14 minutes late in the evening.\",\"I talked to Claire, Piper, Lydia, Rylee for 14 minutes late in the evening.\"\n2830,2011/11/07,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n2831,2011/11/08,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n2832,2011/11/08,\"I spent 55 talking to Piper, Nora on various topics late in the evening.\",\"I spent 55 talking to Piper, Nora on various topics late in the evening.\"\n2833,2011/11/08,\"I talked to Nora, Nevaeh, Hazel for 12 minutes in the early afternoon.\",\"I talked to Nora, Nevaeh, Hazel for 12 minutes in the early afternoon.\"\n2834,2011/11/08,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n2835,2011/11/08,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n2836,2011/11/09,I did swimming on 2011/11/09.,I did swimming on 2011/11/09.\n2837,2011/11/09,\"I had cereals for breakfast with Kayden, Andrew, Carter, Emily\",\"I had cereals for breakfast with Kayden, Andrew, Carter, Emily\"\n2838,2011/11/09,I spent 53 talking to Lydia on various topics in the late afternoon.,I spent 53 talking to Lydia on various topics in the late afternoon.\n2839,2011/11/10,I did biking on 2011/11/10.,I did biking on 2011/11/10.\n2840,2011/11/10,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n2841,2011/11/10,I ate tacos for dinner.,I ate tacos for dinner.\n2842,2011/11/10,\"I spent 7 talking to Kinsley, Claire, Nora, Olivia on various topics in the morning.\",\"I spent 7 talking to Kinsley, Claire, Nora, Olivia on various topics in the morning.\"\n2843,2011/11/10,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n2844,2011/11/11,I did biking on 2011/11/11.,I did biking on 2011/11/11.\n2845,2011/11/11,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n2846,2011/11/11,\"I talked to Lydia, Layla, Piper, Olivia for 38 minutes in the morning.\",\"I talked to Lydia, Layla, Piper, Olivia for 38 minutes in the morning.\"\n2847,2011/11/11,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n2848,2011/11/12,I did swimming on 2011/11/12.,I did swimming on 2011/11/12.\n2849,2011/11/12,\"I had indian food for dinner with Piper, Olivia\",\"I had indian food for dinner with Piper, Olivia\"\n2850,2011/11/12,\"I spent 33 talking to Hazel, Kinsley, Lydia, Layla on various topics in the early evening.\",\"I spent 33 talking to Hazel, Kinsley, Lydia, Layla on various topics in the early evening.\"\n2851,2011/11/12,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n2852,2011/11/13,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n2853,2011/11/13,I had pasta for lunch with Avery,I had pasta for lunch with Avery\n2854,2011/11/13,\"I had dinner with Emily, Andrew, Carter. I ate indian food.\",\"I had dinner with Emily, Andrew, Carter. I ate indian food.\"\n2855,2011/11/13,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n2856,2011/11/14,I did biking on 2011/11/14.,I did biking on 2011/11/14.\n2857,2011/11/14,\"I had lunch with Andrew, Kayden, Carter, Emily. I ate a burger.\",\"I had lunch with Andrew, Kayden, Carter, Emily. I ate a burger.\"\n2858,2011/11/14,I prepare a burger for dinner.,I prepare a burger for dinner.\n2859,2011/11/14,\"I spent 21 talking to Olivia, Piper on various topics in the early afternoon.\",\"I spent 21 talking to Olivia, Piper on various topics in the early afternoon.\"\n2860,2011/11/14,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n2861,2011/11/14,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n2862,2011/11/15,I ate steak for dinner.,I ate steak for dinner.\n2863,2011/11/15,\"I talked to Piper, Rylee for 29 minutes in the morning.\",\"I talked to Piper, Rylee for 29 minutes in the morning.\"\n2864,2011/11/15,\"I spent 44 talking to Piper, Hazel on various topics in the morning.\",\"I spent 44 talking to Piper, Hazel on various topics in the morning.\"\n2865,2011/11/16,I did hiking on 2011/11/16.,I did hiking on 2011/11/16.\n2866,2011/11/16,\"I talked to Lydia, Olivia, Rylee, Kinsley for 7 minutes in the late afternoon.\",\"I talked to Lydia, Olivia, Rylee, Kinsley for 7 minutes in the late afternoon.\"\n2867,2011/11/16,\"I talked to Piper, Rylee for 39 minutes in the early afternoon.\",\"I talked to Piper, Rylee for 39 minutes in the early afternoon.\"\n2868,2011/11/17,I went on a date with Luna on 2011/11/17 at a park,I went on a date with Luna on 2011/11/17 at a park\n2869,2011/11/17,\"I went grocery shopping with Layla, Claire, Nora, Piper, Avery, Nevaeh, Hazel, Piper, Rylee, Olivia, Eva, Kinsley, Lydia. I bought some blackberries, apricots, strawberries, blueberries, soda, mango juice, and shampoo, mouthwash, paper towel\",\"I went grocery shopping with Layla, Claire, Nora, Piper, Avery, Nevaeh, Hazel, Piper, Rylee, Olivia, Eva, Kinsley, Lydia. I bought some blackberries, apricots, strawberries, blueberries, soda, mango juice, and shampoo, mouthwash, paper towel\"\n2870,2011/11/17,\"I talked to Piper, Eva, Nora, Rylee for 7 minutes in the morning.\",\"I talked to Piper, Eva, Nora, Rylee for 7 minutes in the morning.\"\n2871,2011/11/17,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n2872,2011/11/18,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n2873,2011/11/18,\"I had dinner with Piper, Olivia, Hazel, Nevaeh, Lydia, Rylee, Piper, Claire, Eva, Avery, Nora, Kinsley, Layla. I ate a burger.\",\"I had dinner with Piper, Olivia, Hazel, Nevaeh, Lydia, Rylee, Piper, Claire, Eva, Avery, Nora, Kinsley, Layla. I ate a burger.\"\n2874,2011/11/18,\"I spent 43 talking to Hazel, Claire on various topics in the early evening.\",\"I spent 43 talking to Hazel, Claire on various topics in the early evening.\"\n2875,2011/11/19,I did HIIT on 2011/11/19.,I did HIIT on 2011/11/19.\n2876,2011/11/19,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n2877,2011/11/20,I did biking on 2011/11/20.,I did biking on 2011/11/20.\n2878,2011/11/20,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n2879,2011/11/21,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n2880,2011/11/21,I ate steak for lunch.,I ate steak for lunch.\n2881,2011/11/21,\"I had pasta for dinner with Carter, Kayden, Andrew\",\"I had pasta for dinner with Carter, Kayden, Andrew\"\n2882,2011/11/21,I spent 36 talking to Olivia on various topics in the late afternoon.,I spent 36 talking to Olivia on various topics in the late afternoon.\n2883,2011/11/22,I did biking on 2011/11/22.,I did biking on 2011/11/22.\n2884,2011/11/22,\"I had breakfast with Jackson, Avery, Willow. I ate peanut-butter-jam.\",\"I had breakfast with Jackson, Avery, Willow. I ate peanut-butter-jam.\"\n2885,2011/11/22,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n2886,2011/11/23,I prepare pasta for dinner.,I prepare pasta for dinner.\n2887,2011/11/23,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n2888,2011/11/24,I did hiking on 2011/11/24.,I did hiking on 2011/11/24.\n2889,2011/11/24,\"I had fish and chips for dinner with Hazel, Eva, Piper, Olivia, Kinsley, Avery, Claire, Nevaeh, Piper, Rylee, Nora\",\"I had fish and chips for dinner with Hazel, Eva, Piper, Olivia, Kinsley, Avery, Claire, Nevaeh, Piper, Rylee, Nora\"\n2890,2011/11/24,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n2891,2011/11/24,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n2892,2011/11/25,\"I talked to Nevaeh, Lydia for 39 minutes in the late afternoon.\",\"I talked to Nevaeh, Lydia for 39 minutes in the late afternoon.\"\n2893,2011/11/25,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n2894,2011/11/26,\"I bought some apricots, apples, mandarins, watermelons, apple juice, conditioner, toothbrush, shaving cream from the grocery store. I saw Carter, Kayden at the grocery store.\",\"I bought some apricots, apples, mandarins, watermelons, apple juice, conditioner, toothbrush, shaving cream from the grocery store. I saw Carter, Kayden at the grocery store.\"\n2895,2011/11/26,I did biking on 2011/11/26.,I did biking on 2011/11/26.\n2896,2011/11/26,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n2897,2011/11/26,I spent 9 talking to Piper on various topics in the morning.,I spent 9 talking to Piper on various topics in the morning.\n2898,2011/11/27,I did weight lifting on 2011/11/27.,I did weight lifting on 2011/11/27.\n2899,2011/11/27,\"I talked to Piper, Olivia for 15 minutes late in the evening.\",\"I talked to Piper, Olivia for 15 minutes late in the evening.\"\n2900,2011/11/27,\"I talked to Lydia, Piper, Layla, Rylee for 29 minutes in the early afternoon.\",\"I talked to Lydia, Piper, Layla, Rylee for 29 minutes in the early afternoon.\"\n2901,2011/11/27,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n2902,2011/11/28,\"I had breakfast with Piper, Piper, Hazel, Lydia. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Piper, Hazel, Lydia. I ate eggs, sausages, and bread.\"\n2903,2011/11/28,\"I spent 38 talking to Eva, Nevaeh, Avery on various topics in the late afternoon.\",\"I spent 38 talking to Eva, Nevaeh, Avery on various topics in the late afternoon.\"\n2904,2011/11/28,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n2905,2011/11/28,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n2906,2011/11/29,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n2907,2011/11/29,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n2908,2011/11/29,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n2909,2011/11/30,I did HIIT on 2011/11/30.,I did HIIT on 2011/11/30.\n2910,2011/11/30,\"I spent 26 talking to Hazel, Claire, Kinsley, Nevaeh on various topics late in the evening.\",\"I spent 26 talking to Hazel, Claire, Kinsley, Nevaeh on various topics late in the evening.\"\n2911,2011/11/30,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n2912,2011/12/01,I really enjoyed gardening on 2011/12/01,I really enjoyed gardening on 2011/12/01\n2913,2011/12/01,I did running on 2011/12/01.,I did running on 2011/12/01.\n2914,2011/12/01,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n2915,2011/12/01,I talked to Nevaeh for 32 minutes in the late afternoon.,I talked to Nevaeh for 32 minutes in the late afternoon.\n2916,2011/12/01,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n2917,2011/12/02,\"I went grocery shopping with Avery, Benjamin, Willow. I bought some bananas, mandarins, pineapples, pears, tea, pineapple juice, and mouthwash, facial wash\",\"I went grocery shopping with Avery, Benjamin, Willow. I bought some bananas, mandarins, pineapples, pears, tea, pineapple juice, and mouthwash, facial wash\"\n2918,2011/12/02,I did swimming on 2011/12/02.,I did swimming on 2011/12/02.\n2919,2011/12/02,I had breakfast with Andrew. I ate oatmeal.,I had breakfast with Andrew. I ate oatmeal.\n2920,2011/12/02,I prepare a burger for lunch.,I prepare a burger for lunch.\n2921,2011/12/02,I spent 41 talking to Avery on various topics in the morning.,I spent 41 talking to Avery on various topics in the morning.\n2922,2011/12/02,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n2923,2011/12/03,I did swimming on 2011/12/03.,I did swimming on 2011/12/03.\n2924,2011/12/03,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n2925,2011/12/03,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n2926,2011/12/03,\"I talked to Layla, Eva for 13 minutes in the morning.\",\"I talked to Layla, Eva for 13 minutes in the morning.\"\n2927,2011/12/04,\"I bought some blackberries, bananas, pineapples, apricots, orange juice, apple juice, tea, mouth wash online.\",\"I bought some blackberries, bananas, pineapples, apricots, orange juice, apple juice, tea, mouth wash online.\"\n2928,2011/12/04,I did weight lifting on 2011/12/04.,I did weight lifting on 2011/12/04.\n2929,2011/12/04,I had peanut-butter-jam for breakfast with Andrew,I had peanut-butter-jam for breakfast with Andrew\n2930,2011/12/04,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n2931,2011/12/04,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n2932,2011/12/05,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n2933,2011/12/06,I had lunch with Carter. I ate fish and chips.,I had lunch with Carter. I ate fish and chips.\n2934,2011/12/06,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n2935,2011/12/06,\"I talked to Kinsley, Lydia for 53 minutes in the early evening.\",\"I talked to Kinsley, Lydia for 53 minutes in the early evening.\"\n2936,2011/12/06,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n2937,2011/12/07,I did HIIT on 2011/12/07.,I did HIIT on 2011/12/07.\n2938,2011/12/07,\"I talked to Olivia, Nevaeh for 34 minutes during lunch hours.\",\"I talked to Olivia, Nevaeh for 34 minutes during lunch hours.\"\n2939,2011/12/07,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n2940,2011/12/07,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n2941,2011/12/08,I went on a date with Emilia on 2011/12/08 at a park,I went on a date with Emilia on 2011/12/08 at a park\n2942,2011/12/08,\"I spent 24 talking to Lydia, Hazel, Olivia, Layla on various topics in the early evening.\",\"I spent 24 talking to Lydia, Hazel, Olivia, Layla on various topics in the early evening.\"\n2943,2011/12/08,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n2944,2011/12/09,\"I bought some watermelons, coffee, milk, shaving cream, body lotion, mouth wash from the grocery store. I saw Carter at the grocery store.\",\"I bought some watermelons, coffee, milk, shaving cream, body lotion, mouth wash from the grocery store. I saw Carter at the grocery store.\"\n2945,2011/12/09,I did hiking on 2011/12/09.,I did hiking on 2011/12/09.\n2946,2011/12/09,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n2947,2011/12/09,\"I spent 51 talking to Piper, Piper, Hazel on various topics in the late afternoon.\",\"I spent 51 talking to Piper, Piper, Hazel on various topics in the late afternoon.\"\n2948,2011/12/09,\"I talked to Piper, Avery, Claire, Piper for 38 minutes in the late afternoon.\",\"I talked to Piper, Avery, Claire, Piper for 38 minutes in the late afternoon.\"\n2949,2011/12/09,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n2950,2011/12/10,I did swimming on 2011/12/10.,I did swimming on 2011/12/10.\n2951,2011/12/10,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n2952,2011/12/10,I spent 31 talking to Avery on various topics in the early afternoon.,I spent 31 talking to Avery on various topics in the early afternoon.\n2953,2011/12/10,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n2954,2011/12/11,\"I went grocery shopping with Lydia, Nora, Olivia, Rylee. I bought some pears, mineral water, apple juice, coffee, and toothbrush, conditioner, shampoo, body lotion\",\"I went grocery shopping with Lydia, Nora, Olivia, Rylee. I bought some pears, mineral water, apple juice, coffee, and toothbrush, conditioner, shampoo, body lotion\"\n2955,2011/12/11,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n2956,2011/12/12,\"On 2011/12/12, I took Everly on a date to a coffee Shop\",\"On 2011/12/12, I took Everly on a date to a coffee Shop\"\n2957,2011/12/12,I did HIIT on 2011/12/12.,I did HIIT on 2011/12/12.\n2958,2011/12/12,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n2959,2011/12/12,\"I had lunch with Nevaeh, Avery. I ate fish and chips.\",\"I had lunch with Nevaeh, Avery. I ate fish and chips.\"\n2960,2011/12/12,I ate sushi for dinner.,I ate sushi for dinner.\n2961,2011/12/12,\"I talked to Layla, Rylee, Hazel, Piper for 52 minutes in the early evening.\",\"I talked to Layla, Rylee, Hazel, Piper for 52 minutes in the early evening.\"\n2962,2011/12/13,I did running on 2011/12/13.,I did running on 2011/12/13.\n2963,2011/12/13,I ate chinese food for dinner.,I ate chinese food for dinner.\n2964,2011/12/13,\"I talked to Eva, Avery, Claire for 48 minutes in the early evening.\",\"I talked to Eva, Avery, Claire for 48 minutes in the early evening.\"\n2965,2011/12/13,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n2966,2011/12/14,I took my parents for their for an annual physical checkup on 2011/12/14 at the private clinic.,I took my parents for their for an annual physical checkup on 2011/12/14 at the private clinic.\n2967,2011/12/14,I went on a date with Christophe on 2011/12/14 at a boba shop,I went on a date with Christophe on 2011/12/14 at a boba shop\n2968,2011/12/14,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n2969,2011/12/14,I talked to Nora for 31 minutes during lunch hours.,I talked to Nora for 31 minutes during lunch hours.\n2970,2011/12/14,\"I spent 29 talking to Nora, Hazel on various topics in the late afternoon.\",\"I spent 29 talking to Nora, Hazel on various topics in the late afternoon.\"\n2971,2011/12/15,I did HIIT on 2011/12/15.,I did HIIT on 2011/12/15.\n2972,2011/12/15,\"I had pasta for lunch with Kayden, Carter, Emily, Andrew\",\"I had pasta for lunch with Kayden, Carter, Emily, Andrew\"\n2973,2011/12/15,\"I talked to Eva, Hazel, Claire, Piper for 48 minutes late in the evening.\",\"I talked to Eva, Hazel, Claire, Piper for 48 minutes late in the evening.\"\n2974,2011/12/15,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n2975,2011/12/15,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n2976,2011/12/16,I did running on 2011/12/16.,I did running on 2011/12/16.\n2977,2011/12/16,\"I had eggs, sausages, and bread for breakfast with Andrew\",\"I had eggs, sausages, and bread for breakfast with Andrew\"\n2978,2011/12/16,\"I talked to Layla, Nevaeh for 31 minutes in the early evening.\",\"I talked to Layla, Nevaeh for 31 minutes in the early evening.\"\n2979,2011/12/16,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n2980,2011/12/16,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n2981,2011/12/17,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n2982,2011/12/17,I prepare tacos for lunch.,I prepare tacos for lunch.\n2983,2011/12/17,I had sandwich for dinner with Benjamin,I had sandwich for dinner with Benjamin\n2984,2011/12/17,\"I talked to Avery, Hazel, Layla for 29 minutes late in the evening.\",\"I talked to Avery, Hazel, Layla for 29 minutes late in the evening.\"\n2985,2011/12/17,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n2986,2011/12/17,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n2987,2011/12/18,I really enjoyed learning a language on 2011/12/18,I really enjoyed learning a language on 2011/12/18\n2988,2011/12/18,\"I bought some pears, tea, mineral water, mango juice, conditioner, toilet paper online.\",\"I bought some pears, tea, mineral water, mango juice, conditioner, toilet paper online.\"\n2989,2011/12/18,I did HIIT on 2011/12/18.,I did HIIT on 2011/12/18.\n2990,2011/12/18,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n2991,2011/12/18,\"I talked to Kinsley, Layla, Avery, Hazel for 53 minutes in the early evening.\",\"I talked to Kinsley, Layla, Avery, Hazel for 53 minutes in the early evening.\"\n2992,2011/12/18,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n2993,2011/12/19,I went on a date with Asher on 2011/12/19 at a boba shop,I went on a date with Asher on 2011/12/19 at a boba shop\n2994,2011/12/19,I did running on 2011/12/19.,I did running on 2011/12/19.\n2995,2011/12/19,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n2996,2011/12/19,I prepare a burger for lunch.,I prepare a burger for lunch.\n2997,2011/12/19,\"I talked to Olivia, Piper, Nevaeh, Nora for 40 minutes in the late afternoon.\",\"I talked to Olivia, Piper, Nevaeh, Nora for 40 minutes in the late afternoon.\"\n2998,2011/12/20,\"I had peanut-butter-jam for breakfast with Emily, Carter, Andrew, Kayden\",\"I had peanut-butter-jam for breakfast with Emily, Carter, Andrew, Kayden\"\n2999,2011/12/20,\"I had lunch with Lydia, Olivia, Eva, Kinsley, Rylee, Avery, Nevaeh, Claire, Piper, Layla, Nora, Piper. I ate fish and chips.\",\"I had lunch with Lydia, Olivia, Eva, Kinsley, Rylee, Avery, Nevaeh, Claire, Piper, Layla, Nora, Piper. I ate fish and chips.\"\n3000,2011/12/20,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n3001,2011/12/21,I went on a date with Lincoln on 2011/12/21 at a coffee Shop,I went on a date with Lincoln on 2011/12/21 at a coffee Shop\n3002,2011/12/21,I did weight lifting on 2011/12/21.,I did weight lifting on 2011/12/21.\n3003,2011/12/21,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n3004,2011/12/21,I ate a burger for lunch.,I ate a burger for lunch.\n3005,2011/12/21,I ate a burger for dinner.,I ate a burger for dinner.\n3006,2011/12/21,I spent 37 talking to Claire on various topics in the early afternoon.,I spent 37 talking to Claire on various topics in the early afternoon.\n3007,2011/12/21,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n3008,2011/12/21,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n3009,2011/12/22,I had dinner with Avery. I ate sandwich.,I had dinner with Avery. I ate sandwich.\n3010,2011/12/22,\"I talked to Olivia, Piper, Claire for 24 minutes in the early afternoon.\",\"I talked to Olivia, Piper, Claire for 24 minutes in the early afternoon.\"\n3011,2011/12/23,I did running on 2011/12/23.,I did running on 2011/12/23.\n3012,2011/12/23,I had lunch. I ate steak.,I had lunch. I ate steak.\n3013,2011/12/23,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n3014,2011/12/24,I did biking on 2011/12/24.,I did biking on 2011/12/24.\n3015,2011/12/24,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n3016,2011/12/24,\"I talked to Nevaeh, Hazel, Kinsley for 18 minutes in the morning.\",\"I talked to Nevaeh, Hazel, Kinsley for 18 minutes in the morning.\"\n3017,2011/12/24,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n3018,2011/12/24,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n3019,2011/12/25,\"I went grocery shopping. I bought some raspberries, blueberries, sports drinks, mango juice, and conditioner, paper towel, toothpaste, mouth wash\",\"I went grocery shopping. I bought some raspberries, blueberries, sports drinks, mango juice, and conditioner, paper towel, toothpaste, mouth wash\"\n3020,2011/12/25,I did biking on 2011/12/25.,I did biking on 2011/12/25.\n3021,2011/12/25,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n3022,2011/12/25,\"I had lunch with Emily, Kayden, Carter, Andrew. I ate fish and chips.\",\"I had lunch with Emily, Kayden, Carter, Andrew. I ate fish and chips.\"\n3023,2011/12/25,\"I talked to Avery, Layla, Eva for 26 minutes during lunch hours.\",\"I talked to Avery, Layla, Eva for 26 minutes during lunch hours.\"\n3024,2011/12/25,\"I talked to Eva, Olivia for 23 minutes in the early afternoon.\",\"I talked to Eva, Olivia for 23 minutes in the early afternoon.\"\n3025,2011/12/25,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n3026,2011/12/26,I went on a date with Jordan on 2011/12/26 at a restaurant,I went on a date with Jordan on 2011/12/26 at a restaurant\n3027,2011/12/26,I ate tacos for dinner.,I ate tacos for dinner.\n3028,2011/12/26,\"I spent 20 talking to Eva, Claire, Piper on various topics in the early afternoon.\",\"I spent 20 talking to Eva, Claire, Piper on various topics in the early afternoon.\"\n3029,2011/12/27,I did swimming on 2011/12/27.,I did swimming on 2011/12/27.\n3030,2011/12/27,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n3031,2011/12/27,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n3032,2011/12/28,I spent 48 talking to Piper on various topics late in the evening.,I spent 48 talking to Piper on various topics late in the evening.\n3033,2011/12/28,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n3034,2011/12/29,I did weight lifting on 2011/12/29.,I did weight lifting on 2011/12/29.\n3035,2011/12/29,\"I had breakfast with Willow, Avery, Jackson. I ate pancakes.\",\"I had breakfast with Willow, Avery, Jackson. I ate pancakes.\"\n3036,2011/12/29,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n3037,2011/12/30,\"I had oatmeal for breakfast with Nevaeh, Nora, Eva, Avery, Piper\",\"I had oatmeal for breakfast with Nevaeh, Nora, Eva, Avery, Piper\"\n3038,2011/12/30,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n3039,2011/12/30,\"I had tacos for dinner with Andrew, Kayden, Emily\",\"I had tacos for dinner with Andrew, Kayden, Emily\"\n3040,2011/12/30,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n3041,2011/12/31,I did weight lifting on 2011/12/31.,I did weight lifting on 2011/12/31.\n3042,2011/12/31,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n3043,2011/12/31,\"I talked to Piper, Olivia for 43 minutes in the late afternoon.\",\"I talked to Piper, Olivia for 43 minutes in the late afternoon.\"\n3044,2012/01/01,\"I had steak for lunch with Claire, Piper, Layla, Hazel, Piper, Eva\",\"I had steak for lunch with Claire, Piper, Layla, Hazel, Piper, Eva\"\n3045,2012/01/01,\"I talked to Kinsley, Rylee, Claire, Piper for 18 minutes in the early evening.\",\"I talked to Kinsley, Rylee, Claire, Piper for 18 minutes in the early evening.\"\n3046,2012/01/02,I did hiking on 2012/01/02.,I did hiking on 2012/01/02.\n3047,2012/01/03,I prepare a burger for lunch.,I prepare a burger for lunch.\n3048,2012/01/03,I prepare indian food for dinner.,I prepare indian food for dinner.\n3049,2012/01/03,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n3050,2012/01/04,I did HIIT on 2012/01/04.,I did HIIT on 2012/01/04.\n3051,2012/01/04,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3052,2012/01/04,I ate sushi for lunch.,I ate sushi for lunch.\n3053,2012/01/04,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n3054,2012/01/05,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n3055,2012/01/05,I had dinner. I ate steak.,I had dinner. I ate steak.\n3056,2012/01/05,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n3057,2012/01/06,\"I had peanut-butter-jam for breakfast with Nora, Piper, Avery, Eva, Rylee, Lydia, Kinsley\",\"I had peanut-butter-jam for breakfast with Nora, Piper, Avery, Eva, Rylee, Lydia, Kinsley\"\n3058,2012/01/06,I prepare steak for lunch.,I prepare steak for lunch.\n3059,2012/01/06,\"I had chinese food for dinner with Piper, Rylee, Nora\",\"I had chinese food for dinner with Piper, Rylee, Nora\"\n3060,2012/01/06,\"I spent 14 talking to Nevaeh, Rylee, Layla on various topics in the morning.\",\"I spent 14 talking to Nevaeh, Rylee, Layla on various topics in the morning.\"\n3061,2012/01/06,\"I talked to Nora, Layla, Avery, Claire for 49 minutes in the morning.\",\"I talked to Nora, Layla, Avery, Claire for 49 minutes in the morning.\"\n3062,2012/01/06,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n3063,2012/01/07,\"I had breakfast with Lydia, Kinsley, Rylee, Hazel, Eva, Piper, Nevaeh, Avery, Nora, Claire, Olivia, Layla. I ate peanut-butter-jam.\",\"I had breakfast with Lydia, Kinsley, Rylee, Hazel, Eva, Piper, Nevaeh, Avery, Nora, Claire, Olivia, Layla. I ate peanut-butter-jam.\"\n3064,2012/01/07,\"I had fish and chips for lunch with Avery, Jackson\",\"I had fish and chips for lunch with Avery, Jackson\"\n3065,2012/01/07,I had dinner with Emily. I ate steak.,I had dinner with Emily. I ate steak.\n3066,2012/01/07,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n3067,2012/01/08,I went for an annual dental cleaning and checkup on 2012/01/08 at the hospital.,I went for an annual dental cleaning and checkup on 2012/01/08 at the hospital.\n3068,2012/01/08,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n3069,2012/01/08,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n3070,2012/01/09,I did HIIT on 2012/01/09.,I did HIIT on 2012/01/09.\n3071,2012/01/09,\"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\",\"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\"\n3072,2012/01/09,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n3073,2012/01/09,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n3074,2012/01/10,I did weight lifting on 2012/01/10.,I did weight lifting on 2012/01/10.\n3075,2012/01/10,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n3076,2012/01/10,I prepare a burger for lunch.,I prepare a burger for lunch.\n3077,2012/01/11,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n3078,2012/01/11,\"I had dinner with Nevaeh, Rylee, Layla, Eva, Olivia, Lydia, Avery, Hazel, Piper. I ate fish and chips.\",\"I had dinner with Nevaeh, Rylee, Layla, Eva, Olivia, Lydia, Avery, Hazel, Piper. I ate fish and chips.\"\n3079,2012/01/11,\"I spent 28 talking to Eva, Olivia on various topics during lunch hours.\",\"I spent 28 talking to Eva, Olivia on various topics during lunch hours.\"\n3080,2012/01/11,\"I spent 36 talking to Eva, Rylee, Lydia, Claire on various topics late in the evening.\",\"I spent 36 talking to Eva, Rylee, Lydia, Claire on various topics late in the evening.\"\n3081,2012/01/11,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n3082,2012/01/12,I went on a date with Xavier on 2012/01/12 at a restaurant,I went on a date with Xavier on 2012/01/12 at a restaurant\n3083,2012/01/12,\"I went grocery shopping with Hazel. I bought some peaches, mineral water, and shampoo, toothbrush, facial wash, shaving cream\",\"I went grocery shopping with Hazel. I bought some peaches, mineral water, and shampoo, toothbrush, facial wash, shaving cream\"\n3084,2012/01/12,I did swimming on 2012/01/12.,I did swimming on 2012/01/12.\n3085,2012/01/12,\"I had breakfast with Carter, Emily, Kayden. I ate toast and cheese.\",\"I had breakfast with Carter, Emily, Kayden. I ate toast and cheese.\"\n3086,2012/01/12,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n3087,2012/01/13,I did weight lifting on 2012/01/13.,I did weight lifting on 2012/01/13.\n3088,2012/01/13,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n3089,2012/01/13,\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\",\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\"\n3090,2012/01/13,\"I talked to Claire, Nevaeh, Layla, Avery for 41 minutes during lunch hours.\",\"I talked to Claire, Nevaeh, Layla, Avery for 41 minutes during lunch hours.\"\n3091,2012/01/13,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n3092,2012/01/14,\"I had peanut-butter-jam for breakfast with Hazel, Nora, Claire, Piper, Rylee, Kinsley, Piper, Lydia, Eva, Nevaeh, Olivia\",\"I had peanut-butter-jam for breakfast with Hazel, Nora, Claire, Piper, Rylee, Kinsley, Piper, Lydia, Eva, Nevaeh, Olivia\"\n3093,2012/01/14,I prepare steak for lunch.,I prepare steak for lunch.\n3094,2012/01/14,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n3095,2012/01/14,\"I talked to Piper, Olivia for 53 minutes late in the evening.\",\"I talked to Piper, Olivia for 53 minutes late in the evening.\"\n3096,2012/01/15,I went on a date with Cora on 2012/01/15 at a coffee Shop,I went on a date with Cora on 2012/01/15 at a coffee Shop\n3097,2012/01/15,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n3098,2012/01/15,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n3099,2012/01/16,I did running on 2012/01/16.,I did running on 2012/01/16.\n3100,2012/01/16,\"I had lunch with Avery, Willow. I ate fish and chips.\",\"I had lunch with Avery, Willow. I ate fish and chips.\"\n3101,2012/01/16,\"I spent 43 talking to Piper, Nevaeh, Layla on various topics in the early evening.\",\"I spent 43 talking to Piper, Nevaeh, Layla on various topics in the early evening.\"\n3102,2012/01/16,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n3103,2012/01/17,\"I went grocery shopping with Carter, Kayden, Emily. I bought some nectarines, strawberries, guava juice, coffee, apple juice, tea, and conditioner\",\"I went grocery shopping with Carter, Kayden, Emily. I bought some nectarines, strawberries, guava juice, coffee, apple juice, tea, and conditioner\"\n3104,2012/01/17,\"I talked to Piper, Nevaeh, Claire, Nora for 54 minutes in the morning.\",\"I talked to Piper, Nevaeh, Claire, Nora for 54 minutes in the morning.\"\n3105,2012/01/17,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n3106,2012/01/17,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n3107,2012/01/18,\"I had eggs, sausages, and bread for breakfast with Avery, Jackson, Willow\",\"I had eggs, sausages, and bread for breakfast with Avery, Jackson, Willow\"\n3108,2012/01/18,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n3109,2012/01/18,\"I talked to Eva, Lydia, Hazel for 54 minutes in the early afternoon.\",\"I talked to Eva, Lydia, Hazel for 54 minutes in the early afternoon.\"\n3110,2012/01/19,I prepare tacos for dinner.,I prepare tacos for dinner.\n3111,2012/01/19,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n3112,2012/01/20,\"I had toast and cheese for breakfast with Claire, Nevaeh\",\"I had toast and cheese for breakfast with Claire, Nevaeh\"\n3113,2012/01/20,I talked to Kinsley for 15 minutes in the late afternoon.,I talked to Kinsley for 15 minutes in the late afternoon.\n3114,2012/01/20,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n3115,2012/01/21,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n3116,2012/01/21,\"I had dinner with Andrew, Carter, Emily. I ate chinese food.\",\"I had dinner with Andrew, Carter, Emily. I ate chinese food.\"\n3117,2012/01/21,\"I talked to Claire, Nora, Olivia for 41 minutes in the late afternoon.\",\"I talked to Claire, Nora, Olivia for 41 minutes in the late afternoon.\"\n3118,2012/01/21,I talked to Nevaeh for 26 minutes in the early afternoon.,I talked to Nevaeh for 26 minutes in the early afternoon.\n3119,2012/01/21,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n3120,2012/01/22,\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter, Emily\",\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter, Emily\"\n3121,2012/01/22,I prepare a burger for lunch.,I prepare a burger for lunch.\n3122,2012/01/22,\"I spent 6 talking to Nora, Olivia, Kinsley, Piper on various topics in the late afternoon.\",\"I spent 6 talking to Nora, Olivia, Kinsley, Piper on various topics in the late afternoon.\"\n3123,2012/01/23,I did running on 2012/01/23.,I did running on 2012/01/23.\n3124,2012/01/23,\"I spent 22 talking to Claire, Lydia on various topics in the early evening.\",\"I spent 22 talking to Claire, Lydia on various topics in the early evening.\"\n3125,2012/01/23,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n3126,2012/01/24,I did weight lifting on 2012/01/24.,I did weight lifting on 2012/01/24.\n3127,2012/01/24,\"I had oatmeal for breakfast with Layla, Nora, Rylee, Piper, Kinsley, Eva, Lydia, Avery, Hazel, Olivia\",\"I had oatmeal for breakfast with Layla, Nora, Rylee, Piper, Kinsley, Eva, Lydia, Avery, Hazel, Olivia\"\n3128,2012/01/24,I had indian food for dinner with Avery,I had indian food for dinner with Avery\n3129,2012/01/24,\"I talked to Eva, Avery for 11 minutes in the early afternoon.\",\"I talked to Eva, Avery for 11 minutes in the early afternoon.\"\n3130,2012/01/25,I went on a date with Hailey on 2012/01/25 at a coffee Shop,I went on a date with Hailey on 2012/01/25 at a coffee Shop\n3131,2012/01/25,I did HIIT on 2012/01/25.,I did HIIT on 2012/01/25.\n3132,2012/01/25,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n3133,2012/01/25,\"I talked to Claire, Olivia, Layla, Nora for 20 minutes in the late afternoon.\",\"I talked to Claire, Olivia, Layla, Nora for 20 minutes in the late afternoon.\"\n3134,2012/01/25,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n3135,2012/01/26,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n3136,2012/01/26,I ate sushi for lunch.,I ate sushi for lunch.\n3137,2012/01/26,I prepare tacos for dinner.,I prepare tacos for dinner.\n3138,2012/01/26,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n3139,2012/01/27,I did weight lifting on 2012/01/27.,I did weight lifting on 2012/01/27.\n3140,2012/01/27,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n3141,2012/01/27,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n3142,2012/01/28,\"I bought some mangos, oranges, apples, peaches, apple juice, coffee, mineral water, mouthwash, toothpaste, conditioner, body lotion from the grocery store. I saw Andrew, Emily, Kayden, Carter at the grocery store.\",\"I bought some mangos, oranges, apples, peaches, apple juice, coffee, mineral water, mouthwash, toothpaste, conditioner, body lotion from the grocery store. I saw Andrew, Emily, Kayden, Carter at the grocery store.\"\n3143,2012/01/28,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n3144,2012/01/28,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n3145,2012/01/29,I ate steak for lunch.,I ate steak for lunch.\n3146,2012/01/29,\"I had dinner with Kayden, Carter, Emily. I ate pasta.\",\"I had dinner with Kayden, Carter, Emily. I ate pasta.\"\n3147,2012/01/29,\"I spent 51 talking to Layla, Piper, Kinsley on various topics late in the evening.\",\"I spent 51 talking to Layla, Piper, Kinsley on various topics late in the evening.\"\n3148,2012/01/30,\"I bought some guava, cherres, strawberries, nectarines, apple juice, soda, coffee, paper towel from the grocery store. I saw Andrew, Emily at the grocery store.\",\"I bought some guava, cherres, strawberries, nectarines, apple juice, soda, coffee, paper towel from the grocery store. I saw Andrew, Emily at the grocery store.\"\n3149,2012/01/30,I prepare steak for dinner.,I prepare steak for dinner.\n3150,2012/01/30,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n3151,2012/01/30,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n3152,2012/01/31,I went on a date with Owen on 2012/01/31 at a restaurant,I went on a date with Owen on 2012/01/31 at a restaurant\n3153,2012/01/31,I did swimming on 2012/01/31.,I did swimming on 2012/01/31.\n3154,2012/01/31,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n3155,2012/01/31,\"I had lunch with Kayden, Andrew. I ate pasta.\",\"I had lunch with Kayden, Andrew. I ate pasta.\"\n3156,2012/02/01,I did HIIT on 2012/02/01.,I did HIIT on 2012/02/01.\n3157,2012/02/01,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3158,2012/02/01,I had dinner. I ate steak.,I had dinner. I ate steak.\n3159,2012/02/01,\"I spent 27 talking to Piper, Piper on various topics in the morning.\",\"I spent 27 talking to Piper, Piper on various topics in the morning.\"\n3160,2012/02/01,\"I spent 7 talking to Olivia, Rylee, Nevaeh, Claire on various topics in the morning.\",\"I spent 7 talking to Olivia, Rylee, Nevaeh, Claire on various topics in the morning.\"\n3161,2012/02/01,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n3162,2012/02/02,I did running on 2012/02/02.,I did running on 2012/02/02.\n3163,2012/02/02,I prepare sushi for dinner.,I prepare sushi for dinner.\n3164,2012/02/02,\"I talked to Kinsley, Nevaeh for 44 minutes in the early afternoon.\",\"I talked to Kinsley, Nevaeh for 44 minutes in the early afternoon.\"\n3165,2012/02/02,\"I spent 5 talking to Layla, Lydia, Eva, Avery on various topics in the morning.\",\"I spent 5 talking to Layla, Lydia, Eva, Avery on various topics in the morning.\"\n3166,2012/02/03,I did HIIT on 2012/02/03.,I did HIIT on 2012/02/03.\n3167,2012/02/03,\"I had toast and cheese for breakfast with Nora, Avery, Lydia, Nevaeh, Kinsley, Eva, Hazel, Piper\",\"I had toast and cheese for breakfast with Nora, Avery, Lydia, Nevaeh, Kinsley, Eva, Hazel, Piper\"\n3168,2012/02/03,\"I had lunch with Emily, Andrew. I ate indian food.\",\"I had lunch with Emily, Andrew. I ate indian food.\"\n3169,2012/02/03,I prepare sushi for dinner.,I prepare sushi for dinner.\n3170,2012/02/03,\"I talked to Nevaeh, Eva for 14 minutes in the early evening.\",\"I talked to Nevaeh, Eva for 14 minutes in the early evening.\"\n3171,2012/02/03,\"I spent 13 talking to Layla, Claire, Nevaeh on various topics in the morning.\",\"I spent 13 talking to Layla, Claire, Nevaeh on various topics in the morning.\"\n3172,2012/02/03,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n3173,2012/02/04,\"On 2012/02/04, I took Easton on a date to a park\",\"On 2012/02/04, I took Easton on a date to a park\"\n3174,2012/02/04,I did HIIT on 2012/02/04.,I did HIIT on 2012/02/04.\n3175,2012/02/04,I prepare a burger for lunch.,I prepare a burger for lunch.\n3176,2012/02/04,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n3177,2012/02/04,\"I spent 45 talking to Piper, Nora, Lydia on various topics in the late afternoon.\",\"I spent 45 talking to Piper, Nora, Lydia on various topics in the late afternoon.\"\n3178,2012/02/04,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n3179,2012/02/04,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n3180,2012/02/05,\"I had steak for lunch with Benjamin, Jackson\",\"I had steak for lunch with Benjamin, Jackson\"\n3181,2012/02/05,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n3182,2012/02/05,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n3183,2012/02/06,\"I went grocery shopping with Kinsley, Olivia, Piper, Rylee, Nora, Lydia. I bought some mangos, oranges, soda, and toothpaste, shampoo, conditioner, body lotion\",\"I went grocery shopping with Kinsley, Olivia, Piper, Rylee, Nora, Lydia. I bought some mangos, oranges, soda, and toothpaste, shampoo, conditioner, body lotion\"\n3184,2012/02/06,\"I had tacos for lunch with Emily, Carter\",\"I had tacos for lunch with Emily, Carter\"\n3185,2012/02/06,\"I had dinner with Emily, Carter. I ate sushi.\",\"I had dinner with Emily, Carter. I ate sushi.\"\n3186,2012/02/06,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n3187,2012/02/06,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n3188,2012/02/07,I did running on 2012/02/07.,I did running on 2012/02/07.\n3189,2012/02/07,I ate cereals for breakfast.,I ate cereals for breakfast.\n3190,2012/02/07,I had steak for lunch with Emily,I had steak for lunch with Emily\n3191,2012/02/07,\"I spent 28 talking to Avery, Claire on various topics during lunch hours.\",\"I spent 28 talking to Avery, Claire on various topics during lunch hours.\"\n3192,2012/02/08,\"I bought some watermelons, tea, orange juice, facial wash online.\",\"I bought some watermelons, tea, orange juice, facial wash online.\"\n3193,2012/02/08,\"I had lunch with Carter, Andrew. I ate tacos.\",\"I had lunch with Carter, Andrew. I ate tacos.\"\n3194,2012/02/08,I prepare sushi for dinner.,I prepare sushi for dinner.\n3195,2012/02/08,\"I talked to Kinsley, Hazel, Nora for 43 minutes in the late afternoon.\",\"I talked to Kinsley, Hazel, Nora for 43 minutes in the late afternoon.\"\n3196,2012/02/08,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n3197,2012/02/08,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n3198,2012/02/09,I did weight lifting on 2012/02/09.,I did weight lifting on 2012/02/09.\n3199,2012/02/09,\"I had lunch with Andrew, Emily. I ate sandwich.\",\"I had lunch with Andrew, Emily. I ate sandwich.\"\n3200,2012/02/09,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n3201,2012/02/09,\"I spent 40 talking to Avery, Layla, Claire, Nevaeh on various topics late in the evening.\",\"I spent 40 talking to Avery, Layla, Claire, Nevaeh on various topics late in the evening.\"\n3202,2012/02/09,\"I talked to Lydia, Nevaeh for 28 minutes in the early evening.\",\"I talked to Lydia, Nevaeh for 28 minutes in the early evening.\"\n3203,2012/02/10,\"On 2012/02/10, I took Ellie on a date to a coffee Shop\",\"On 2012/02/10, I took Ellie on a date to a coffee Shop\"\n3204,2012/02/10,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n3205,2012/02/10,\"I spent 11 talking to Claire, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 11 talking to Claire, Piper, Nevaeh on various topics in the late afternoon.\"\n3206,2012/02/10,\"I spent 37 talking to Eva, Nevaeh, Lydia on various topics late in the evening.\",\"I spent 37 talking to Eva, Nevaeh, Lydia on various topics late in the evening.\"\n3207,2012/02/10,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n3208,2012/02/11,I did hiking on 2012/02/11.,I did hiking on 2012/02/11.\n3209,2012/02/11,\"I had breakfast with Nora, Eva, Piper, Kinsley, Piper, Layla, Rylee, Nevaeh. I ate cereals.\",\"I had breakfast with Nora, Eva, Piper, Kinsley, Piper, Layla, Rylee, Nevaeh. I ate cereals.\"\n3210,2012/02/12,I did swimming on 2012/02/12.,I did swimming on 2012/02/12.\n3211,2012/02/12,\"I had steak for lunch with Carter, Andrew, Emily\",\"I had steak for lunch with Carter, Andrew, Emily\"\n3212,2012/02/12,\"I spent 12 talking to Eva, Kinsley, Layla, Piper on various topics in the early evening.\",\"I spent 12 talking to Eva, Kinsley, Layla, Piper on various topics in the early evening.\"\n3213,2012/02/12,I spent 38 minutes watching a tv series on TV today.,I spent 38 minutes watching a tv series on TV today.\n3214,2012/02/13,I did weight lifting on 2012/02/13.,I did weight lifting on 2012/02/13.\n3215,2012/02/13,\"I talked to Claire, Nevaeh, Piper, Hazel for 37 minutes in the early evening.\",\"I talked to Claire, Nevaeh, Piper, Hazel for 37 minutes in the early evening.\"\n3216,2012/02/13,\"I spent 47 talking to Piper, Nevaeh, Avery, Lydia on various topics in the morning.\",\"I spent 47 talking to Piper, Nevaeh, Avery, Lydia on various topics in the morning.\"\n3217,2012/02/14,\"On 2012/02/14, I took Nicholas on a date to a park\",\"On 2012/02/14, I took Nicholas on a date to a park\"\n3218,2012/02/14,\"I went grocery shopping. I bought some guava, apricots, soda, pineapple juice, and body lotion, facial wash\",\"I went grocery shopping. I bought some guava, apricots, soda, pineapple juice, and body lotion, facial wash\"\n3219,2012/02/14,\"I spent 30 talking to Kinsley, Nora, Lydia, Eva on various topics in the late afternoon.\",\"I spent 30 talking to Kinsley, Nora, Lydia, Eva on various topics in the late afternoon.\"\n3220,2012/02/14,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n3221,2012/02/15,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n3222,2012/02/15,I prepare a burger for dinner.,I prepare a burger for dinner.\n3223,2012/02/15,\"I spent 18 talking to Rylee, Nora, Eva on various topics late in the evening.\",\"I spent 18 talking to Rylee, Nora, Eva on various topics late in the evening.\"\n3224,2012/02/15,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n3225,2012/02/15,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n3226,2012/02/16,\"I bought some bananas, blueberries, raspberries, guava juice, pineapple juice, mouth wash from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\",\"I bought some bananas, blueberries, raspberries, guava juice, pineapple juice, mouth wash from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\"\n3227,2012/02/16,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3228,2012/02/16,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n3229,2012/02/16,I spent 16 talking to Piper on various topics in the late afternoon.,I spent 16 talking to Piper on various topics in the late afternoon.\n3230,2012/02/16,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n3231,2012/02/17,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n3232,2012/02/17,I talked to Piper for 5 minutes in the early afternoon.,I talked to Piper for 5 minutes in the early afternoon.\n3233,2012/02/17,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n3234,2012/02/18,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n3235,2012/02/18,\"I had dinner with Lydia, Olivia. I ate a burger.\",\"I had dinner with Lydia, Olivia. I ate a burger.\"\n3236,2012/02/18,\"I spent 33 talking to Hazel, Nora on various topics in the late afternoon.\",\"I spent 33 talking to Hazel, Nora on various topics in the late afternoon.\"\n3237,2012/02/18,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n3238,2012/02/19,I did running on 2012/02/19.,I did running on 2012/02/19.\n3239,2012/02/19,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n3240,2012/02/19,I prepare tacos for lunch.,I prepare tacos for lunch.\n3241,2012/02/19,\"I talked to Layla, Claire, Piper, Eva for 27 minutes in the early afternoon.\",\"I talked to Layla, Claire, Piper, Eva for 27 minutes in the early afternoon.\"\n3242,2012/02/19,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n3243,2012/02/19,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n3244,2012/02/20,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n3245,2012/02/20,I ate indian food for dinner.,I ate indian food for dinner.\n3246,2012/02/20,\"I talked to Claire, Piper for 43 minutes in the morning.\",\"I talked to Claire, Piper for 43 minutes in the morning.\"\n3247,2012/02/20,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n3248,2012/02/20,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n3249,2012/02/21,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n3250,2012/02/21,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n3251,2012/02/21,\"I spent 25 talking to Layla, Piper on various topics during lunch hours.\",\"I spent 25 talking to Layla, Piper on various topics during lunch hours.\"\n3252,2012/02/21,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n3253,2012/02/22,I did running on 2012/02/22.,I did running on 2012/02/22.\n3254,2012/02/22,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n3255,2012/02/22,\"I talked to Lydia, Piper, Nevaeh for 29 minutes late in the evening.\",\"I talked to Lydia, Piper, Nevaeh for 29 minutes late in the evening.\"\n3256,2012/02/23,I really enjoyed meditation on 2012/02/23,I really enjoyed meditation on 2012/02/23\n3257,2012/02/23,I did biking on 2012/02/23.,I did biking on 2012/02/23.\n3258,2012/02/23,\"I had lunch with Piper, Layla, Piper, Lydia, Nevaeh, Eva, Rylee, Olivia, Nora, Kinsley. I ate steak.\",\"I had lunch with Piper, Layla, Piper, Lydia, Nevaeh, Eva, Rylee, Olivia, Nora, Kinsley. I ate steak.\"\n3259,2012/02/23,I ate indian food for dinner.,I ate indian food for dinner.\n3260,2012/02/23,I watched a tv series for 49 minutes on TV today.,I watched a tv series for 49 minutes on TV today.\n3261,2012/02/24,I went for an annual vision checkup on 2012/02/24 at the university hospital.,I went for an annual vision checkup on 2012/02/24 at the university hospital.\n3262,2012/02/24,\"On 2012/02/24, I took Everleigh on a date to a restaurant\",\"On 2012/02/24, I took Everleigh on a date to a restaurant\"\n3263,2012/02/24,I did HIIT on 2012/02/24.,I did HIIT on 2012/02/24.\n3264,2012/02/24,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n3265,2012/02/24,\"I had dinner with Avery, Benjamin, Willow, Jackson. I ate a burger.\",\"I had dinner with Avery, Benjamin, Willow, Jackson. I ate a burger.\"\n3266,2012/02/24,I spent 43 talking to Olivia on various topics late in the evening.,I spent 43 talking to Olivia on various topics late in the evening.\n3267,2012/02/24,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n3268,2012/02/25,\"I went grocery shopping with Kayden, Emily, Andrew, Carter. I bought some peaches, milk, sports drinks, and toothpaste\",\"I went grocery shopping with Kayden, Emily, Andrew, Carter. I bought some peaches, milk, sports drinks, and toothpaste\"\n3269,2012/02/25,I did running on 2012/02/25.,I did running on 2012/02/25.\n3270,2012/02/25,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3271,2012/02/25,\"I had a burger for lunch with Emily, Andrew, Kayden, Carter\",\"I had a burger for lunch with Emily, Andrew, Kayden, Carter\"\n3272,2012/02/25,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n3273,2012/02/25,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n3274,2012/02/26,I prepare indian food for lunch.,I prepare indian food for lunch.\n3275,2012/02/26,I talked to Nevaeh for 21 minutes late in the evening.,I talked to Nevaeh for 21 minutes late in the evening.\n3276,2012/02/27,I did hiking on 2012/02/27.,I did hiking on 2012/02/27.\n3277,2012/02/27,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n3278,2012/02/27,I had lunch with Carter. I ate pasta.,I had lunch with Carter. I ate pasta.\n3279,2012/02/27,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n3280,2012/02/28,I went on a date with Jonathan on 2012/02/28 at a park,I went on a date with Jonathan on 2012/02/28 at a park\n3281,2012/02/28,I spent some time learning a language on 2012/02/28.,I spent some time learning a language on 2012/02/28.\n3282,2012/02/28,\"I bought some clementines, oranges, soda, shampoo, facial wash, body lotion from the grocery store. I saw Kayden, Carter, Andrew, Emily at the grocery store.\",\"I bought some clementines, oranges, soda, shampoo, facial wash, body lotion from the grocery store. I saw Kayden, Carter, Andrew, Emily at the grocery store.\"\n3283,2012/02/28,I did swimming on 2012/02/28.,I did swimming on 2012/02/28.\n3284,2012/02/28,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n3285,2012/02/28,\"I talked to Lydia, Nevaeh, Avery for 29 minutes in the early afternoon.\",\"I talked to Lydia, Nevaeh, Avery for 29 minutes in the early afternoon.\"\n3286,2012/02/28,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n3287,2012/02/29,I spent time learning a language on 2012/02/29 with Olivia.,I spent time learning a language on 2012/02/29 with Olivia.\n3288,2012/02/29,\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate toast and cheese.\",\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate toast and cheese.\"\n3289,2012/02/29,I ate pasta for lunch.,I ate pasta for lunch.\n3290,2012/02/29,\"I had pasta for dinner with Benjamin, Willow\",\"I had pasta for dinner with Benjamin, Willow\"\n3291,2012/02/29,\"I spent 34 talking to Olivia, Nora, Layla on various topics during lunch hours.\",\"I spent 34 talking to Olivia, Nora, Layla on various topics during lunch hours.\"\n3292,2012/02/29,\"I spent 53 talking to Claire, Nevaeh, Layla on various topics late in the evening.\",\"I spent 53 talking to Claire, Nevaeh, Layla on various topics late in the evening.\"\n3293,2012/02/29,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n3294,2012/03/01,I did swimming on 2012/03/01.,I did swimming on 2012/03/01.\n3295,2012/03/01,I had cereals for breakfast with Avery,I had cereals for breakfast with Avery\n3296,2012/03/01,\"I had sushi for lunch with Layla, Nora\",\"I had sushi for lunch with Layla, Nora\"\n3297,2012/03/01,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n3298,2012/03/02,I went on a date with Parker on 2012/03/02 at a boba shop,I went on a date with Parker on 2012/03/02 at a boba shop\n3299,2012/03/02,\"I went grocery shopping with Hazel, Layla, Piper, Olivia, Eva, Avery, Nora. I bought some blackberries, blueberries, strawberries, mineral water, milk, and shampoo, mouthwash\",\"I went grocery shopping with Hazel, Layla, Piper, Olivia, Eva, Avery, Nora. I bought some blackberries, blueberries, strawberries, mineral water, milk, and shampoo, mouthwash\"\n3300,2012/03/02,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n3301,2012/03/02,\"I had a burger for dinner with Benjamin, Jackson, Willow\",\"I had a burger for dinner with Benjamin, Jackson, Willow\"\n3302,2012/03/02,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n3303,2012/03/02,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n3304,2012/03/03,I did weight lifting on 2012/03/03.,I did weight lifting on 2012/03/03.\n3305,2012/03/03,\"I had breakfast with Nevaeh, Nora, Rylee, Lydia, Kinsley, Layla. I ate toast and cheese.\",\"I had breakfast with Nevaeh, Nora, Rylee, Lydia, Kinsley, Layla. I ate toast and cheese.\"\n3306,2012/03/03,\"I spent 12 talking to Claire, Kinsley on various topics in the early evening.\",\"I spent 12 talking to Claire, Kinsley on various topics in the early evening.\"\n3307,2012/03/03,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n3308,2012/03/03,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n3309,2012/03/04,I really enjoyed working out on 2012/03/04,I really enjoyed working out on 2012/03/04\n3310,2012/03/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n3311,2012/03/04,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n3312,2012/03/04,\"I spent 25 talking to Lydia, Hazel, Nora, Kinsley on various topics in the morning.\",\"I spent 25 talking to Lydia, Hazel, Nora, Kinsley on various topics in the morning.\"\n3313,2012/03/04,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n3314,2012/03/05,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n3315,2012/03/05,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n3316,2012/03/06,\"I bought some blueberries, strawberries, pears, apricots, soda, mouth wash, conditioner, toothbrush online.\",\"I bought some blueberries, strawberries, pears, apricots, soda, mouth wash, conditioner, toothbrush online.\"\n3317,2012/03/06,\"I had sushi for lunch with Emily, Carter, Kayden, Andrew\",\"I had sushi for lunch with Emily, Carter, Kayden, Andrew\"\n3318,2012/03/06,I prepare pasta for dinner.,I prepare pasta for dinner.\n3319,2012/03/06,\"I spent 51 talking to Piper, Piper, Nora on various topics in the late afternoon.\",\"I spent 51 talking to Piper, Piper, Nora on various topics in the late afternoon.\"\n3320,2012/03/06,\"I talked to Kinsley, Piper, Nora for 27 minutes in the early afternoon.\",\"I talked to Kinsley, Piper, Nora for 27 minutes in the early afternoon.\"\n3321,2012/03/06,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n3322,2012/03/07,I did hiking on 2012/03/07.,I did hiking on 2012/03/07.\n3323,2012/03/07,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n3324,2012/03/07,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n3325,2012/03/08,\"On 2012/03/08, I took Dylan on a date to a boba shop\",\"On 2012/03/08, I took Dylan on a date to a boba shop\"\n3326,2012/03/08,\"I had eggs, sausages, and bread for breakfast with Carter\",\"I had eggs, sausages, and bread for breakfast with Carter\"\n3327,2012/03/08,I had lunch with Willow. I ate indian food.,I had lunch with Willow. I ate indian food.\n3328,2012/03/08,\"I spent 51 talking to Eva, Nevaeh, Kinsley, Olivia on various topics during lunch hours.\",\"I spent 51 talking to Eva, Nevaeh, Kinsley, Olivia on various topics during lunch hours.\"\n3329,2012/03/08,I talked to Piper for 49 minutes in the late afternoon.,I talked to Piper for 49 minutes in the late afternoon.\n3330,2012/03/08,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n3331,2012/03/09,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n3332,2012/03/09,\"I had lunch with Layla, Avery, Lydia, Nora, Piper, Hazel, Nevaeh, Olivia, Kinsley, Eva, Claire, Piper. I ate fish and chips.\",\"I had lunch with Layla, Avery, Lydia, Nora, Piper, Hazel, Nevaeh, Olivia, Kinsley, Eva, Claire, Piper. I ate fish and chips.\"\n3333,2012/03/09,\"I talked to Hazel, Lydia for 51 minutes in the early afternoon.\",\"I talked to Hazel, Lydia for 51 minutes in the early afternoon.\"\n3334,2012/03/09,I spent 6 minutes on social media today.,I spent 6 minutes on social media today.\n3335,2012/03/10,\"I had dinner with Andrew, Carter. I ate fish and chips.\",\"I had dinner with Andrew, Carter. I ate fish and chips.\"\n3336,2012/03/10,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n3337,2012/03/11,I did HIIT on 2012/03/11.,I did HIIT on 2012/03/11.\n3338,2012/03/11,\"I had lunch with Andrew, Kayden, Emily, Carter. I ate indian food.\",\"I had lunch with Andrew, Kayden, Emily, Carter. I ate indian food.\"\n3339,2012/03/11,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n3340,2012/03/11,\"I talked to Piper, Nevaeh for 33 minutes in the morning.\",\"I talked to Piper, Nevaeh for 33 minutes in the morning.\"\n3341,2012/03/12,I did HIIT on 2012/03/12.,I did HIIT on 2012/03/12.\n3342,2012/03/12,I had breakfast with Kayden. I ate peanut-butter-jam.,I had breakfast with Kayden. I ate peanut-butter-jam.\n3343,2012/03/12,\"I spent 30 talking to Claire, Eva, Rylee, Piper on various topics in the morning.\",\"I spent 30 talking to Claire, Eva, Rylee, Piper on various topics in the morning.\"\n3344,2012/03/12,\"I talked to Layla, Piper, Nevaeh for 37 minutes late in the evening.\",\"I talked to Layla, Piper, Nevaeh for 37 minutes late in the evening.\"\n3345,2012/03/12,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n3346,2012/03/12,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n3347,2012/03/13,I did running on 2012/03/13.,I did running on 2012/03/13.\n3348,2012/03/13,I ate indian food for lunch.,I ate indian food for lunch.\n3349,2012/03/13,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n3350,2012/03/13,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n3351,2012/03/14,\"I had breakfast with Kayden, Andrew, Emily. I ate oatmeal.\",\"I had breakfast with Kayden, Andrew, Emily. I ate oatmeal.\"\n3352,2012/03/14,\"I had chinese food for lunch with Emily, Carter, Kayden\",\"I had chinese food for lunch with Emily, Carter, Kayden\"\n3353,2012/03/14,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n3354,2012/03/14,I talked to Avery for 53 minutes during lunch hours.,I talked to Avery for 53 minutes during lunch hours.\n3355,2012/03/14,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n3356,2012/03/15,\"I bought some pears, chocolate milk, mango juice, mouth wash, conditioner from the grocery store. I saw Kayden at the grocery store.\",\"I bought some pears, chocolate milk, mango juice, mouth wash, conditioner from the grocery store. I saw Kayden at the grocery store.\"\n3357,2012/03/15,I did biking on 2012/03/15.,I did biking on 2012/03/15.\n3358,2012/03/15,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n3359,2012/03/15,I had sandwich for dinner with Emily,I had sandwich for dinner with Emily\n3360,2012/03/15,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n3361,2012/03/16,I did weight lifting on 2012/03/16.,I did weight lifting on 2012/03/16.\n3362,2012/03/16,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n3363,2012/03/16,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n3364,2012/03/16,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n3365,2012/03/17,I did swimming on 2012/03/17.,I did swimming on 2012/03/17.\n3366,2012/03/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n3367,2012/03/17,\"I had sandwich for lunch with Rylee, Nevaeh, Layla, Avery, Eva, Hazel, Claire, Piper, Piper, Olivia, Lydia, Nora, Kinsley\",\"I had sandwich for lunch with Rylee, Nevaeh, Layla, Avery, Eva, Hazel, Claire, Piper, Piper, Olivia, Lydia, Nora, Kinsley\"\n3368,2012/03/17,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n3369,2012/03/17,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n3370,2012/03/18,I went on a date with Gianna on 2012/03/18 at a boba shop,I went on a date with Gianna on 2012/03/18 at a boba shop\n3371,2012/03/18,\"I had indian food for lunch with Andrew, Kayden, Emily, Carter\",\"I had indian food for lunch with Andrew, Kayden, Emily, Carter\"\n3372,2012/03/18,\"I had dinner with Piper, Claire, Rylee, Piper. I ate tacos.\",\"I had dinner with Piper, Claire, Rylee, Piper. I ate tacos.\"\n3373,2012/03/18,\"I talked to Piper, Piper, Rylee for 6 minutes late in the evening.\",\"I talked to Piper, Piper, Rylee for 6 minutes late in the evening.\"\n3374,2012/03/18,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n3375,2012/03/19,\"I had eggs, sausages, and bread for breakfast with Avery, Willow, Jackson\",\"I had eggs, sausages, and bread for breakfast with Avery, Willow, Jackson\"\n3376,2012/03/19,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n3377,2012/03/20,I did HIIT on 2012/03/20.,I did HIIT on 2012/03/20.\n3378,2012/03/20,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n3379,2012/03/20,\"I talked to Kinsley, Nora, Piper, Rylee for 54 minutes in the early afternoon.\",\"I talked to Kinsley, Nora, Piper, Rylee for 54 minutes in the early afternoon.\"\n3380,2012/03/20,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n3381,2012/03/21,\"I bought some clementines, mandarins, coffee, shampoo online.\",\"I bought some clementines, mandarins, coffee, shampoo online.\"\n3382,2012/03/21,I did running on 2012/03/21.,I did running on 2012/03/21.\n3383,2012/03/21,I prepare steak for lunch.,I prepare steak for lunch.\n3384,2012/03/21,I ate chinese food for dinner.,I ate chinese food for dinner.\n3385,2012/03/22,I did HIIT on 2012/03/22.,I did HIIT on 2012/03/22.\n3386,2012/03/22,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n3387,2012/03/22,\"I spent 31 talking to Eva, Layla, Piper on various topics during lunch hours.\",\"I spent 31 talking to Eva, Layla, Piper on various topics during lunch hours.\"\n3388,2012/03/22,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n3389,2012/03/23,\"I had breakfast with Emily, Andrew. I ate cereals.\",\"I had breakfast with Emily, Andrew. I ate cereals.\"\n3390,2012/03/23,\"I talked to Olivia, Layla for 39 minutes in the morning.\",\"I talked to Olivia, Layla for 39 minutes in the morning.\"\n3391,2012/03/24,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n3392,2012/03/24,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n3393,2012/03/25,\"I bought some nectarines, mangos, mandarins, mineral water, soda, shaving cream, mouthwash from the grocery store. I saw Piper, Avery, Claire at the grocery store.\",\"I bought some nectarines, mangos, mandarins, mineral water, soda, shaving cream, mouthwash from the grocery store. I saw Piper, Avery, Claire at the grocery store.\"\n3394,2012/03/25,I did weight lifting on 2012/03/25.,I did weight lifting on 2012/03/25.\n3395,2012/03/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n3396,2012/03/25,\"I had sandwich for dinner with Nora, Eva, Kinsley, Piper, Nevaeh, Layla, Hazel, Piper, Avery, Rylee\",\"I had sandwich for dinner with Nora, Eva, Kinsley, Piper, Nevaeh, Layla, Hazel, Piper, Avery, Rylee\"\n3397,2012/03/25,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n3398,2012/03/25,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n3399,2012/03/26,\"I had breakfast with Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter. I ate eggs, sausages, and bread.\"\n3400,2012/03/26,\"I had sushi for dinner with Carter, Andrew, Kayden, Emily\",\"I had sushi for dinner with Carter, Andrew, Kayden, Emily\"\n3401,2012/03/26,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n3402,2012/03/27,I really enjoyed gardening on 2012/03/27,I really enjoyed gardening on 2012/03/27\n3403,2012/03/27,\"I had lunch with Carter, Emily, Kayden. I ate sushi.\",\"I had lunch with Carter, Emily, Kayden. I ate sushi.\"\n3404,2012/03/27,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n3405,2012/03/27,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n3406,2012/03/28,I did hiking on 2012/03/28.,I did hiking on 2012/03/28.\n3407,2012/03/28,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n3408,2012/03/28,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n3409,2012/03/28,\"I spent 41 talking to Eva, Nora, Hazel, Piper on various topics in the early afternoon.\",\"I spent 41 talking to Eva, Nora, Hazel, Piper on various topics in the early afternoon.\"\n3410,2012/03/28,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n3411,2012/03/29,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n3412,2012/03/29,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n3413,2012/03/29,\"I talked to Lydia, Olivia, Rylee for 32 minutes in the morning.\",\"I talked to Lydia, Olivia, Rylee for 32 minutes in the morning.\"\n3414,2012/03/29,I talked to Nora for 23 minutes in the late afternoon.,I talked to Nora for 23 minutes in the late afternoon.\n3415,2012/03/29,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n3416,2012/03/30,I did swimming on 2012/03/30.,I did swimming on 2012/03/30.\n3417,2012/03/30,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n3418,2012/03/30,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n3419,2012/03/31,\"I bought some blueberries, clementines, watermelons, coffee, pineapple juice, milk, toothbrush, conditioner, toilet paper, paper towel from the grocery store. I saw Piper, Piper, Rylee, Avery, Layla, Hazel, Lydia, Kinsley, Eva, Nevaeh at the grocery store.\",\"I bought some blueberries, clementines, watermelons, coffee, pineapple juice, milk, toothbrush, conditioner, toilet paper, paper towel from the grocery store. I saw Piper, Piper, Rylee, Avery, Layla, Hazel, Lydia, Kinsley, Eva, Nevaeh at the grocery store.\"\n3420,2012/03/31,I spent 36 minutes watching a documentary on TV today.,I spent 36 minutes watching a documentary on TV today.\n3421,2012/04/01,I did swimming on 2012/04/01.,I did swimming on 2012/04/01.\n3422,2012/04/01,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n3423,2012/04/01,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n3424,2012/04/01,I spent 31 minutes watching a tv series on TV today.,I spent 31 minutes watching a tv series on TV today.\n3425,2012/04/02,\"I had pancakes for breakfast with Jackson, Benjamin, Avery, Willow\",\"I had pancakes for breakfast with Jackson, Benjamin, Avery, Willow\"\n3426,2012/04/02,\"I spent 43 talking to Nevaeh, Eva on various topics in the early evening.\",\"I spent 43 talking to Nevaeh, Eva on various topics in the early evening.\"\n3427,2012/04/03,I ate sandwich for dinner.,I ate sandwich for dinner.\n3428,2012/04/03,\"I talked to Eva, Avery for 47 minutes in the early afternoon.\",\"I talked to Eva, Avery for 47 minutes in the early afternoon.\"\n3429,2012/04/03,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n3430,2012/04/04,\"I had lunch with Carter, Emily. I ate sushi.\",\"I had lunch with Carter, Emily. I ate sushi.\"\n3431,2012/04/04,\"I had pasta for dinner with Eva, Lydia, Avery, Piper, Nevaeh, Kinsley, Rylee, Hazel, Claire, Nora, Layla, Olivia, Piper\",\"I had pasta for dinner with Eva, Lydia, Avery, Piper, Nevaeh, Kinsley, Rylee, Hazel, Claire, Nora, Layla, Olivia, Piper\"\n3432,2012/04/04,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n3433,2012/04/05,I did biking on 2012/04/05.,I did biking on 2012/04/05.\n3434,2012/04/05,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n3435,2012/04/05,\"I had dinner with Carter, Emily, Kayden, Andrew. I ate tacos.\",\"I had dinner with Carter, Emily, Kayden, Andrew. I ate tacos.\"\n3436,2012/04/05,I spent 14 talking to Avery on various topics in the late afternoon.,I spent 14 talking to Avery on various topics in the late afternoon.\n3437,2012/04/06,I prepare sushi for dinner.,I prepare sushi for dinner.\n3438,2012/04/06,I talked to Olivia for 39 minutes in the morning.,I talked to Olivia for 39 minutes in the morning.\n3439,2012/04/06,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n3440,2012/04/07,\"I bought some clementines, raspberries, guava, milk, chocolate milk, mineral water, guava juice, toothbrush from the grocery store. I saw Kayden, Andrew at the grocery store.\",\"I bought some clementines, raspberries, guava, milk, chocolate milk, mineral water, guava juice, toothbrush from the grocery store. I saw Kayden, Andrew at the grocery store.\"\n3441,2012/04/07,I had breakfast with Andrew. I ate oatmeal.,I had breakfast with Andrew. I ate oatmeal.\n3442,2012/04/07,\"I had a burger for dinner with Avery, Nevaeh, Layla, Kinsley, Rylee, Piper, Olivia\",\"I had a burger for dinner with Avery, Nevaeh, Layla, Kinsley, Rylee, Piper, Olivia\"\n3443,2012/04/08,I did running on 2012/04/08.,I did running on 2012/04/08.\n3444,2012/04/08,\"I had peanut-butter-jam for breakfast with Avery, Rylee, Hazel, Piper, Layla\",\"I had peanut-butter-jam for breakfast with Avery, Rylee, Hazel, Piper, Layla\"\n3445,2012/04/08,I prepare a burger for lunch.,I prepare a burger for lunch.\n3446,2012/04/08,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n3447,2012/04/08,\"I spent 28 talking to Eva, Olivia, Nora, Hazel on various topics late in the evening.\",\"I spent 28 talking to Eva, Olivia, Nora, Hazel on various topics late in the evening.\"\n3448,2012/04/08,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n3449,2012/04/08,I spent 34 minutes watching a tv series on TV today.,I spent 34 minutes watching a tv series on TV today.\n3450,2012/04/09,I did biking on 2012/04/09.,I did biking on 2012/04/09.\n3451,2012/04/09,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n3452,2012/04/09,\"I had fish and chips for lunch with Kayden, Emily\",\"I had fish and chips for lunch with Kayden, Emily\"\n3453,2012/04/10,I did running on 2012/04/10.,I did running on 2012/04/10.\n3454,2012/04/10,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n3455,2012/04/10,I spent 41 talking to Piper on various topics in the early afternoon.,I spent 41 talking to Piper on various topics in the early afternoon.\n3456,2012/04/10,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n3457,2012/04/10,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n3458,2012/04/11,I did weight lifting on 2012/04/11.,I did weight lifting on 2012/04/11.\n3459,2012/04/11,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n3460,2012/04/11,\"I had lunch with Carter, Kayden, Andrew. I ate tacos.\",\"I had lunch with Carter, Kayden, Andrew. I ate tacos.\"\n3461,2012/04/12,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n3462,2012/04/12,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n3463,2012/04/12,\"I spent 6 talking to Nora, Kinsley, Piper on various topics in the late afternoon.\",\"I spent 6 talking to Nora, Kinsley, Piper on various topics in the late afternoon.\"\n3464,2012/04/12,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n3465,2012/04/12,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n3466,2012/04/13,I did swimming on 2012/04/13.,I did swimming on 2012/04/13.\n3467,2012/04/13,\"I had lunch with Kayden, Carter, Emily, Andrew. I ate sushi.\",\"I had lunch with Kayden, Carter, Emily, Andrew. I ate sushi.\"\n3468,2012/04/13,I prepare tacos for dinner.,I prepare tacos for dinner.\n3469,2012/04/13,\"I talked to Kinsley, Hazel, Nora for 13 minutes during lunch hours.\",\"I talked to Kinsley, Hazel, Nora for 13 minutes during lunch hours.\"\n3470,2012/04/13,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n3471,2012/04/14,\"I had sandwich for lunch with Kinsley, Avery, Eva, Nora, Layla, Piper, Claire, Piper, Olivia, Nevaeh, Lydia, Hazel, Rylee\",\"I had sandwich for lunch with Kinsley, Avery, Eva, Nora, Layla, Piper, Claire, Piper, Olivia, Nevaeh, Lydia, Hazel, Rylee\"\n3472,2012/04/14,\"I had dinner with Avery, Jackson. I ate fish and chips.\",\"I had dinner with Avery, Jackson. I ate fish and chips.\"\n3473,2012/04/14,\"I talked to Olivia, Hazel, Avery, Kinsley for 37 minutes in the late afternoon.\",\"I talked to Olivia, Hazel, Avery, Kinsley for 37 minutes in the late afternoon.\"\n3474,2012/04/14,\"I spent 28 talking to Avery, Olivia on various topics in the late afternoon.\",\"I spent 28 talking to Avery, Olivia on various topics in the late afternoon.\"\n3475,2012/04/15,\"I had pasta for dinner with Olivia, Nora, Piper, Lydia, Claire\",\"I had pasta for dinner with Olivia, Nora, Piper, Lydia, Claire\"\n3476,2012/04/16,I did weight lifting on 2012/04/16.,I did weight lifting on 2012/04/16.\n3477,2012/04/16,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3478,2012/04/16,I prepare sushi for dinner.,I prepare sushi for dinner.\n3479,2012/04/16,\"I spent 43 talking to Lydia, Piper on various topics in the morning.\",\"I spent 43 talking to Lydia, Piper on various topics in the morning.\"\n3480,2012/04/16,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n3481,2012/04/17,\"On 2012/04/17, I took Silas on a date to a park\",\"On 2012/04/17, I took Silas on a date to a park\"\n3482,2012/04/17,I had lunch. I ate steak.,I had lunch. I ate steak.\n3483,2012/04/17,\"I had tacos for dinner with Piper, Nora, Layla, Eva, Piper, Rylee, Hazel, Kinsley\",\"I had tacos for dinner with Piper, Nora, Layla, Eva, Piper, Rylee, Hazel, Kinsley\"\n3484,2012/04/17,\"I talked to Lydia, Eva, Nora, Rylee for 39 minutes during lunch hours.\",\"I talked to Lydia, Eva, Nora, Rylee for 39 minutes during lunch hours.\"\n3485,2012/04/17,\"I spent 27 talking to Claire, Kinsley, Nora, Piper on various topics in the late afternoon.\",\"I spent 27 talking to Claire, Kinsley, Nora, Piper on various topics in the late afternoon.\"\n3486,2012/04/17,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n3487,2012/04/18,I did swimming on 2012/04/18.,I did swimming on 2012/04/18.\n3488,2012/04/18,\"I had chinese food for lunch with Emily, Kayden, Andrew, Carter\",\"I had chinese food for lunch with Emily, Kayden, Andrew, Carter\"\n3489,2012/04/18,I had a burger for dinner with Carter,I had a burger for dinner with Carter\n3490,2012/04/18,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n3491,2012/04/19,I ate sushi for lunch.,I ate sushi for lunch.\n3492,2012/04/19,\"I had dinner with Emily, Kayden, Andrew, Carter. I ate fish and chips.\",\"I had dinner with Emily, Kayden, Andrew, Carter. I ate fish and chips.\"\n3493,2012/04/19,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n3494,2012/04/19,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n3495,2012/04/20,I did HIIT on 2012/04/20.,I did HIIT on 2012/04/20.\n3496,2012/04/20,I had breakfast with Eva. I ate peanut-butter-jam.,I had breakfast with Eva. I ate peanut-butter-jam.\n3497,2012/04/20,\"I had tacos for lunch with Nevaeh, Eva, Olivia, Rylee, Nora, Lydia, Avery\",\"I had tacos for lunch with Nevaeh, Eva, Olivia, Rylee, Nora, Lydia, Avery\"\n3498,2012/04/20,I had steak for dinner with Andrew,I had steak for dinner with Andrew\n3499,2012/04/20,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n3500,2012/04/21,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n3501,2012/04/21,\"I talked to Claire, Nevaeh, Lydia for 39 minutes in the early afternoon.\",\"I talked to Claire, Nevaeh, Lydia for 39 minutes in the early afternoon.\"\n3502,2012/04/21,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n3503,2012/04/22,I did biking on 2012/04/22.,I did biking on 2012/04/22.\n3504,2012/04/22,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n3505,2012/04/22,\"I talked to Kinsley, Nevaeh, Piper for 21 minutes in the early evening.\",\"I talked to Kinsley, Nevaeh, Piper for 21 minutes in the early evening.\"\n3506,2012/04/23,I did hiking on 2012/04/23.,I did hiking on 2012/04/23.\n3507,2012/04/24,I did HIIT on 2012/04/24.,I did HIIT on 2012/04/24.\n3508,2012/04/24,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n3509,2012/04/24,I ate sandwich for lunch.,I ate sandwich for lunch.\n3510,2012/04/24,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n3511,2012/04/24,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n3512,2012/04/24,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n3513,2012/04/25,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n3514,2012/04/25,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n3515,2012/04/25,I had chinese food for dinner with Carter,I had chinese food for dinner with Carter\n3516,2012/04/25,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n3517,2012/04/26,I did running on 2012/04/26.,I did running on 2012/04/26.\n3518,2012/04/26,\"I had lunch with Kinsley, Piper, Claire, Lydia. I ate chinese food.\",\"I had lunch with Kinsley, Piper, Claire, Lydia. I ate chinese food.\"\n3519,2012/04/26,\"I spent 23 talking to Piper, Eva on various topics during lunch hours.\",\"I spent 23 talking to Piper, Eva on various topics during lunch hours.\"\n3520,2012/04/26,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n3521,2012/04/27,I did running on 2012/04/27.,I did running on 2012/04/27.\n3522,2012/04/27,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n3523,2012/04/27,\"I had dinner with Rylee, Piper, Kinsley, Avery, Lydia, Eva, Layla, Claire, Nora. I ate steak.\",\"I had dinner with Rylee, Piper, Kinsley, Avery, Lydia, Eva, Layla, Claire, Nora. I ate steak.\"\n3524,2012/04/27,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n3525,2012/04/28,I prepare tacos for lunch.,I prepare tacos for lunch.\n3526,2012/04/28,\"I talked to Nevaeh, Rylee, Lydia, Kinsley for 52 minutes late in the evening.\",\"I talked to Nevaeh, Rylee, Lydia, Kinsley for 52 minutes late in the evening.\"\n3527,2012/04/28,\"I spent 52 talking to Kinsley, Claire on various topics in the late afternoon.\",\"I spent 52 talking to Kinsley, Claire on various topics in the late afternoon.\"\n3528,2012/04/28,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n3529,2012/04/29,I did swimming on 2012/04/29.,I did swimming on 2012/04/29.\n3530,2012/04/29,I ate sandwich for lunch.,I ate sandwich for lunch.\n3531,2012/04/29,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n3532,2012/04/30,I did biking on 2012/04/30.,I did biking on 2012/04/30.\n3533,2012/04/30,\"I spent 19 talking to Olivia, Nora on various topics in the late afternoon.\",\"I spent 19 talking to Olivia, Nora on various topics in the late afternoon.\"\n3534,2012/04/30,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n3535,2012/05/01,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n3536,2012/05/01,\"I had a burger for lunch with Carter, Emily, Andrew, Kayden\",\"I had a burger for lunch with Carter, Emily, Andrew, Kayden\"\n3537,2012/05/01,\"I spent 7 talking to Piper, Piper, Lydia, Layla on various topics in the early evening.\",\"I spent 7 talking to Piper, Piper, Lydia, Layla on various topics in the early evening.\"\n3538,2012/05/01,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n3539,2012/05/02,\"I visited Sydney, Australia for 15 days with Piper starting on 2012/05/02\",\"I visited Sydney, Australia for 15 days with Piper starting on 2012/05/02\"\n3540,2012/05/02,I ate sandwich for dinner.,I ate sandwich for dinner.\n3541,2012/05/02,\"I talked to Hazel, Lydia for 13 minutes in the early evening.\",\"I talked to Hazel, Lydia for 13 minutes in the early evening.\"\n3542,2012/05/03,\"During my trip to Sydney, Australia, I visited Sydney Opera House on 2012/05 with Piper.\",\"During my trip to Sydney, Australia, I visited Sydney Opera House on 2012/05 with Piper.\"\n3543,2012/05/03,\"I ate Japanese food at Love Crepe with Piper on  2012/05/03 when I was in Sydney, Australia.\",\"I ate Japanese food at Love Crepe with Piper on  2012/05/03 when I was in Sydney, Australia.\"\n3544,2012/05/03,\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate eggs, sausages, and bread.\"\n3545,2012/05/03,I ate indian food for lunch.,I ate indian food for lunch.\n3546,2012/05/03,\"I spent 19 talking to Lydia, Nora, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 19 talking to Lydia, Nora, Piper, Nevaeh on various topics in the late afternoon.\"\n3547,2012/05/03,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n3548,2012/05/03,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n3549,2012/05/04,\"During my trip to Sydney, Australia, I visited Sydney Harbour Bridge on 2012/05 with Piper.\",\"During my trip to Sydney, Australia, I visited Sydney Harbour Bridge on 2012/05 with Piper.\"\n3550,2012/05/04,I had pasta for lunch with Emily,I had pasta for lunch with Emily\n3551,2012/05/04,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n3552,2012/05/05,\"During my trip to Sydney, Australia, I visited Bondi Beach on 2012/05 with Piper.\",\"During my trip to Sydney, Australia, I visited Bondi Beach on 2012/05 with Piper.\"\n3553,2012/05/05,\"I ate Italian food at Bombay Street Kitchen with Piper on  2012/05/05 when I was in Sydney, Australia.\",\"I ate Italian food at Bombay Street Kitchen with Piper on  2012/05/05 when I was in Sydney, Australia.\"\n3554,2012/05/05,\"I had cereals for breakfast with Carter, Kayden, Emily, Andrew\",\"I had cereals for breakfast with Carter, Kayden, Emily, Andrew\"\n3555,2012/05/05,I prepare pasta for dinner.,I prepare pasta for dinner.\n3556,2012/05/05,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n3557,2012/05/05,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n3558,2012/05/06,\"I ate local food at Bombay Street Kitchen with Piper on  2012/05/06 when I was in Sydney, Australia.\",\"I ate local food at Bombay Street Kitchen with Piper on  2012/05/06 when I was in Sydney, Australia.\"\n3559,2012/05/06,\"I bought some blackberries, clementines, tea, mango juice, sports drinks, apple juice, conditioner, shaving cream, mouthwash, toilet paper online.\",\"I bought some blackberries, clementines, tea, mango juice, sports drinks, apple juice, conditioner, shaving cream, mouthwash, toilet paper online.\"\n3560,2012/05/06,\"I had dinner with Andrew, Emily, Kayden. I ate pasta.\",\"I had dinner with Andrew, Emily, Kayden. I ate pasta.\"\n3561,2012/05/06,\"I talked to Lydia, Piper, Nevaeh for 49 minutes in the early evening.\",\"I talked to Lydia, Piper, Nevaeh for 49 minutes in the early evening.\"\n3562,2012/05/06,I talked to Hazel for 25 minutes late in the evening.,I talked to Hazel for 25 minutes late in the evening.\n3563,2012/05/06,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n3564,2012/05/07,\"I ate street food at Bombay Street Kitchen with Piper on  2012/05/07 when I was in Sydney, Australia.\",\"I ate street food at Bombay Street Kitchen with Piper on  2012/05/07 when I was in Sydney, Australia.\"\n3565,2012/05/07,I prepare sushi for lunch.,I prepare sushi for lunch.\n3566,2012/05/07,\"I spent 28 talking to Eva, Lydia, Piper on various topics in the morning.\",\"I spent 28 talking to Eva, Lydia, Piper on various topics in the morning.\"\n3567,2012/05/07,I spent 13 talking to Nora on various topics late in the evening.,I spent 13 talking to Nora on various topics late in the evening.\n3568,2012/05/07,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n3569,2012/05/08,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3570,2012/05/08,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n3571,2012/05/08,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n3572,2012/05/08,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n3573,2012/05/09,\"I ate Japanese food at Bombay Street Kitchen with Piper on  2012/05/09 when I was in Sydney, Australia.\",\"I ate Japanese food at Bombay Street Kitchen with Piper on  2012/05/09 when I was in Sydney, Australia.\"\n3574,2012/05/09,\"I talked to Rylee, Avery, Kinsley for 39 minutes during lunch hours.\",\"I talked to Rylee, Avery, Kinsley for 39 minutes during lunch hours.\"\n3575,2012/05/09,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n3576,2012/05/09,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n3577,2012/05/10,\"I ate Chinese food at Bombay Street Kitchen with Piper on  2012/05/10 when I was in Sydney, Australia.\",\"I ate Chinese food at Bombay Street Kitchen with Piper on  2012/05/10 when I was in Sydney, Australia.\"\n3578,2012/05/10,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n3579,2012/05/10,\"I spent 5 talking to Olivia, Piper, Nevaeh on various topics late in the evening.\",\"I spent 5 talking to Olivia, Piper, Nevaeh on various topics late in the evening.\"\n3580,2012/05/10,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n3581,2012/05/11,\"I ate Japanese food at Love Crepe with Piper on  2012/05/11 when I was in Sydney, Australia.\",\"I ate Japanese food at Love Crepe with Piper on  2012/05/11 when I was in Sydney, Australia.\"\n3582,2012/05/11,\"I spent 24 talking to Piper, Rylee on various topics in the early evening.\",\"I spent 24 talking to Piper, Rylee on various topics in the early evening.\"\n3583,2012/05/11,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n3584,2012/05/11,I watched news for 51 minutes on TV today.,I watched news for 51 minutes on TV today.\n3585,2012/05/12,\"I ate local food at Thievery Chicken & Charcoal with Piper on  2012/05/12 when I was in Sydney, Australia.\",\"I ate local food at Thievery Chicken & Charcoal with Piper on  2012/05/12 when I was in Sydney, Australia.\"\n3586,2012/05/12,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n3587,2012/05/12,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n3588,2012/05/12,\"I talked to Rylee, Nora for 7 minutes in the early afternoon.\",\"I talked to Rylee, Nora for 7 minutes in the early afternoon.\"\n3589,2012/05/12,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n3590,2012/05/13,\"I ate Indian food at Bombay Street Kitchen with Piper on  2012/05/13 when I was in Sydney, Australia.\",\"I ate Indian food at Bombay Street Kitchen with Piper on  2012/05/13 when I was in Sydney, Australia.\"\n3591,2012/05/13,I had peanut-butter-jam for breakfast with Andrew,I had peanut-butter-jam for breakfast with Andrew\n3592,2012/05/13,\"I had steak for lunch with Jackson, Willow\",\"I had steak for lunch with Jackson, Willow\"\n3593,2012/05/13,\"I talked to Avery, Piper, Lydia for 35 minutes in the early afternoon.\",\"I talked to Avery, Piper, Lydia for 35 minutes in the early afternoon.\"\n3594,2012/05/13,\"I talked to Piper, Nora, Avery for 35 minutes in the late afternoon.\",\"I talked to Piper, Nora, Avery for 35 minutes in the late afternoon.\"\n3595,2012/05/13,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n3596,2012/05/13,I watched a documentary for 41 minutes on TV today.,I watched a documentary for 41 minutes on TV today.\n3597,2012/05/14,\"I ate street food at Love Crepe with Piper on  2012/05/14 when I was in Sydney, Australia.\",\"I ate street food at Love Crepe with Piper on  2012/05/14 when I was in Sydney, Australia.\"\n3598,2012/05/14,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n3599,2012/05/14,\"I talked to Layla, Olivia, Nora, Avery for 18 minutes in the early afternoon.\",\"I talked to Layla, Olivia, Nora, Avery for 18 minutes in the early afternoon.\"\n3600,2012/05/14,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n3601,2012/05/15,\"I ate Italian food at Thievery Chicken & Charcoal with Piper on  2012/05/15 when I was in Sydney, Australia.\",\"I ate Italian food at Thievery Chicken & Charcoal with Piper on  2012/05/15 when I was in Sydney, Australia.\"\n3602,2012/05/15,I ate sandwich for lunch.,I ate sandwich for lunch.\n3603,2012/05/15,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n3604,2012/05/15,\"I talked to Layla, Lydia, Rylee, Hazel for 5 minutes in the morning.\",\"I talked to Layla, Lydia, Rylee, Hazel for 5 minutes in the morning.\"\n3605,2012/05/15,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n3606,2012/05/16,\"I ate Italian food at Bombay Street Kitchen with Piper on  2012/05/16 when I was in Sydney, Australia.\",\"I ate Italian food at Bombay Street Kitchen with Piper on  2012/05/16 when I was in Sydney, Australia.\"\n3607,2012/05/16,\"I went grocery shopping with Piper, Nevaeh, Olivia, Avery, Lydia, Nora, Piper, Layla, Claire, Eva. I bought some nectarines, raspberries, orange juice, tea, chocolate milk, and facial wash, mouth wash, body lotion\",\"I went grocery shopping with Piper, Nevaeh, Olivia, Avery, Lydia, Nora, Piper, Layla, Claire, Eva. I bought some nectarines, raspberries, orange juice, tea, chocolate milk, and facial wash, mouth wash, body lotion\"\n3608,2012/05/16,I had indian food for dinner with Kayden,I had indian food for dinner with Kayden\n3609,2012/05/16,I spent 11 talking to Lydia on various topics in the early afternoon.,I spent 11 talking to Lydia on various topics in the early afternoon.\n3610,2012/05/16,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n3611,2012/05/16,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n3612,2012/05/17,\"I ate Japanese food at Bombay Street Kitchen with Piper on  2012/05/17 when I was in Sydney, Australia.\",\"I ate Japanese food at Bombay Street Kitchen with Piper on  2012/05/17 when I was in Sydney, Australia.\"\n3613,2012/05/17,I spent 17 talking to Nevaeh on various topics in the late afternoon.,I spent 17 talking to Nevaeh on various topics in the late afternoon.\n3614,2012/05/17,\"I talked to Piper, Claire for 43 minutes in the early afternoon.\",\"I talked to Piper, Claire for 43 minutes in the early afternoon.\"\n3615,2012/05/17,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n3616,2012/05/18,I did hiking on 2012/05/18.,I did hiking on 2012/05/18.\n3617,2012/05/18,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n3618,2012/05/19,I did HIIT on 2012/05/19.,I did HIIT on 2012/05/19.\n3619,2012/05/19,\"I had dinner with Carter, Andrew, Emily. I ate tacos.\",\"I had dinner with Carter, Andrew, Emily. I ate tacos.\"\n3620,2012/05/19,I spent 44 talking to Avery on various topics in the early afternoon.,I spent 44 talking to Avery on various topics in the early afternoon.\n3621,2012/05/19,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n3622,2012/05/19,I watched a tv series for 30 minutes on TV today.,I watched a tv series for 30 minutes on TV today.\n3623,2012/05/20,I spent some time meditation on 2012/05/20.,I spent some time meditation on 2012/05/20.\n3624,2012/05/20,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n3625,2012/05/20,I ate sandwich for dinner.,I ate sandwich for dinner.\n3626,2012/05/20,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n3627,2012/05/20,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n3628,2012/05/21,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n3629,2012/05/21,\"I had pasta for dinner with Willow, Benjamin, Jackson\",\"I had pasta for dinner with Willow, Benjamin, Jackson\"\n3630,2012/05/21,\"I spent 36 talking to Eva, Nora, Avery, Piper on various topics in the early afternoon.\",\"I spent 36 talking to Eva, Nora, Avery, Piper on various topics in the early afternoon.\"\n3631,2012/05/21,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n3632,2012/05/22,\"I had peanut-butter-jam for breakfast with Lydia, Rylee, Eva, Piper, Layla, Claire, Nevaeh, Kinsley\",\"I had peanut-butter-jam for breakfast with Lydia, Rylee, Eva, Piper, Layla, Claire, Nevaeh, Kinsley\"\n3633,2012/05/22,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n3634,2012/05/22,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n3635,2012/05/22,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n3636,2012/05/22,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n3637,2012/05/23,\"I had eggs, sausages, and bread for breakfast with Emily, Carter\",\"I had eggs, sausages, and bread for breakfast with Emily, Carter\"\n3638,2012/05/23,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n3639,2012/05/23,\"I had dinner with Claire, Olivia, Rylee, Layla, Eva, Avery, Piper, Kinsley. I ate fish and chips.\",\"I had dinner with Claire, Olivia, Rylee, Layla, Eva, Avery, Piper, Kinsley. I ate fish and chips.\"\n3640,2012/05/23,\"I spent 26 talking to Claire, Piper, Rylee, Olivia on various topics during lunch hours.\",\"I spent 26 talking to Claire, Piper, Rylee, Olivia on various topics during lunch hours.\"\n3641,2012/05/23,\"I spent 19 talking to Olivia, Avery, Piper, Layla on various topics in the early evening.\",\"I spent 19 talking to Olivia, Avery, Piper, Layla on various topics in the early evening.\"\n3642,2012/05/23,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n3643,2012/05/23,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n3644,2012/05/24,I went on a date with Scarlett on 2012/05/24 at a restaurant,I went on a date with Scarlett on 2012/05/24 at a restaurant\n3645,2012/05/24,I prepare pasta for dinner.,I prepare pasta for dinner.\n3646,2012/05/24,\"I spent 17 talking to Eva, Nora, Hazel, Claire on various topics in the early evening.\",\"I spent 17 talking to Eva, Nora, Hazel, Claire on various topics in the early evening.\"\n3647,2012/05/24,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n3648,2012/05/25,\"I had dinner with Rylee, Piper, Piper, Nevaeh, Eva, Kinsley, Nora, Hazel, Olivia, Claire, Avery, Lydia. I ate fish and chips.\",\"I had dinner with Rylee, Piper, Piper, Nevaeh, Eva, Kinsley, Nora, Hazel, Olivia, Claire, Avery, Lydia. I ate fish and chips.\"\n3649,2012/05/25,I spent 42 talking to Lydia on various topics during lunch hours.,I spent 42 talking to Lydia on various topics during lunch hours.\n3650,2012/05/25,\"I spent 52 talking to Claire, Rylee, Hazel on various topics in the early evening.\",\"I spent 52 talking to Claire, Rylee, Hazel on various topics in the early evening.\"\n3651,2012/05/25,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n3652,2012/05/25,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n3653,2012/05/26,I did running on 2012/05/26.,I did running on 2012/05/26.\n3654,2012/05/26,I ate indian food for dinner.,I ate indian food for dinner.\n3655,2012/05/27,\"I had indian food for dinner with Avery, Kinsley, Eva, Olivia, Nevaeh, Lydia, Layla\",\"I had indian food for dinner with Avery, Kinsley, Eva, Olivia, Nevaeh, Lydia, Layla\"\n3656,2012/05/27,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n3657,2012/05/28,I did weight lifting on 2012/05/28.,I did weight lifting on 2012/05/28.\n3658,2012/05/28,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n3659,2012/05/28,I ate sandwich for dinner.,I ate sandwich for dinner.\n3660,2012/05/28,\"I spent 45 talking to Kinsley, Eva, Piper on various topics late in the evening.\",\"I spent 45 talking to Kinsley, Eva, Piper on various topics late in the evening.\"\n3661,2012/05/28,\"I talked to Nora, Claire, Nevaeh, Eva for 40 minutes in the late afternoon.\",\"I talked to Nora, Claire, Nevaeh, Eva for 40 minutes in the late afternoon.\"\n3662,2012/05/29,\"I had lunch with Emily, Kayden, Carter, Andrew. I ate fish and chips.\",\"I had lunch with Emily, Kayden, Carter, Andrew. I ate fish and chips.\"\n3663,2012/05/29,\"I talked to Avery, Claire, Piper for 21 minutes in the morning.\",\"I talked to Avery, Claire, Piper for 21 minutes in the morning.\"\n3664,2012/05/29,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n3665,2012/05/29,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n3666,2012/05/30,\"I had eggs, sausages, and bread for breakfast with Nora, Piper, Piper\",\"I had eggs, sausages, and bread for breakfast with Nora, Piper, Piper\"\n3667,2012/05/30,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n3668,2012/05/30,\"I spent 29 talking to Layla, Nevaeh, Kinsley on various topics in the early evening.\",\"I spent 29 talking to Layla, Nevaeh, Kinsley on various topics in the early evening.\"\n3669,2012/05/30,I spent 8 minutes watching a movie on TV today.,I spent 8 minutes watching a movie on TV today.\n3670,2012/05/31,\"I went grocery shopping with Benjamin. I bought some apples, strawberries, nectarines, cherres, orange juice, and toothbrush, toilet paper\",\"I went grocery shopping with Benjamin. I bought some apples, strawberries, nectarines, cherres, orange juice, and toothbrush, toilet paper\"\n3671,2012/05/31,\"I had breakfast with Jackson, Benjamin, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Benjamin, Willow. I ate eggs, sausages, and bread.\"\n3672,2012/05/31,\"I had lunch with Benjamin, Willow, Jackson, Avery. I ate chinese food.\",\"I had lunch with Benjamin, Willow, Jackson, Avery. I ate chinese food.\"\n3673,2012/05/31,I had dinner. I ate steak.,I had dinner. I ate steak.\n3674,2012/05/31,I talked to Avery for 21 minutes in the late afternoon.,I talked to Avery for 21 minutes in the late afternoon.\n3675,2012/05/31,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n3676,2012/06/01,I did biking on 2012/06/01.,I did biking on 2012/06/01.\n3677,2012/06/01,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n3678,2012/06/01,\"I had dinner with Avery, Willow. I ate chinese food.\",\"I had dinner with Avery, Willow. I ate chinese food.\"\n3679,2012/06/01,\"I spent 10 talking to Lydia, Kinsley, Olivia, Layla on various topics in the late afternoon.\",\"I spent 10 talking to Lydia, Kinsley, Olivia, Layla on various topics in the late afternoon.\"\n3680,2012/06/01,I talked to Nora for 23 minutes in the morning.,I talked to Nora for 23 minutes in the morning.\n3681,2012/06/01,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n3682,2012/06/01,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n3683,2012/06/02,I went on a date with Levi on 2012/06/02 at a park,I went on a date with Levi on 2012/06/02 at a park\n3684,2012/06/02,I did swimming on 2012/06/02.,I did swimming on 2012/06/02.\n3685,2012/06/02,\"I had breakfast with Carter, Kayden, Emily. I ate cereals.\",\"I had breakfast with Carter, Kayden, Emily. I ate cereals.\"\n3686,2012/06/02,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n3687,2012/06/02,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n3688,2012/06/03,I had a burger for dinner with Piper,I had a burger for dinner with Piper\n3689,2012/06/04,\"I bought some blackberries, bananas, pineapple juice, mineral water, coffee, toothbrush, toothpaste online.\",\"I bought some blackberries, bananas, pineapple juice, mineral water, coffee, toothbrush, toothpaste online.\"\n3690,2012/06/04,I did swimming on 2012/06/04.,I did swimming on 2012/06/04.\n3691,2012/06/04,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n3692,2012/06/04,I prepare indian food for dinner.,I prepare indian food for dinner.\n3693,2012/06/04,I spent 18 talking to Layla on various topics in the early evening.,I spent 18 talking to Layla on various topics in the early evening.\n3694,2012/06/04,\"I spent 27 talking to Layla, Lydia, Kinsley, Olivia on various topics late in the evening.\",\"I spent 27 talking to Layla, Lydia, Kinsley, Olivia on various topics late in the evening.\"\n3695,2012/06/05,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n3696,2012/06/05,\"I had lunch with Emily, Kayden, Andrew, Carter. I ate steak.\",\"I had lunch with Emily, Kayden, Andrew, Carter. I ate steak.\"\n3697,2012/06/05,\"I had dinner with Jackson, Willow, Avery. I ate steak.\",\"I had dinner with Jackson, Willow, Avery. I ate steak.\"\n3698,2012/06/06,I went on a date with Athena on 2012/06/06 at a restaurant,I went on a date with Athena on 2012/06/06 at a restaurant\n3699,2012/06/06,I did hiking on 2012/06/06.,I did hiking on 2012/06/06.\n3700,2012/06/06,I ate a burger for lunch.,I ate a burger for lunch.\n3701,2012/06/06,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n3702,2012/06/06,I watched news for 5 minutes on TV today.,I watched news for 5 minutes on TV today.\n3703,2012/06/07,\"I bought some apples, bananas, guava juice, soda, pineapple juice, coffee, toilet paper, facial wash, toothbrush, mouth wash from the grocery store. I saw Nevaeh at the grocery store.\",\"I bought some apples, bananas, guava juice, soda, pineapple juice, coffee, toilet paper, facial wash, toothbrush, mouth wash from the grocery store. I saw Nevaeh at the grocery store.\"\n3704,2012/06/07,I did hiking on 2012/06/07.,I did hiking on 2012/06/07.\n3705,2012/06/08,\"I talked to Piper, Eva, Claire, Piper for 18 minutes during lunch hours.\",\"I talked to Piper, Eva, Claire, Piper for 18 minutes during lunch hours.\"\n3706,2012/06/08,\"I talked to Nevaeh, Piper for 26 minutes during lunch hours.\",\"I talked to Nevaeh, Piper for 26 minutes during lunch hours.\"\n3707,2012/06/08,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n3708,2012/06/09,I did HIIT on 2012/06/09.,I did HIIT on 2012/06/09.\n3709,2012/06/09,\"I talked to Avery, Piper for 8 minutes in the early afternoon.\",\"I talked to Avery, Piper for 8 minutes in the early afternoon.\"\n3710,2012/06/10,I did hiking on 2012/06/10.,I did hiking on 2012/06/10.\n3711,2012/06/10,\"I had steak for lunch with Avery, Eva, Hazel\",\"I had steak for lunch with Avery, Eva, Hazel\"\n3712,2012/06/10,\"I had dinner with Avery, Jackson. I ate tacos.\",\"I had dinner with Avery, Jackson. I ate tacos.\"\n3713,2012/06/10,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n3714,2012/06/10,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n3715,2012/06/11,I did swimming on 2012/06/11.,I did swimming on 2012/06/11.\n3716,2012/06/11,\"I had sushi for lunch with Kayden, Carter, Andrew, Emily\",\"I had sushi for lunch with Kayden, Carter, Andrew, Emily\"\n3717,2012/06/11,\"I had dinner with Benjamin, Avery. I ate steak.\",\"I had dinner with Benjamin, Avery. I ate steak.\"\n3718,2012/06/11,\"I talked to Nora, Olivia, Kinsley, Avery for 45 minutes in the early afternoon.\",\"I talked to Nora, Olivia, Kinsley, Avery for 45 minutes in the early afternoon.\"\n3719,2012/06/11,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n3720,2012/06/12,I prepare steak for lunch.,I prepare steak for lunch.\n3721,2012/06/13,I did weight lifting on 2012/06/13.,I did weight lifting on 2012/06/13.\n3722,2012/06/13,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n3723,2012/06/13,\"I spent 39 talking to Eva, Claire, Piper on various topics in the late afternoon.\",\"I spent 39 talking to Eva, Claire, Piper on various topics in the late afternoon.\"\n3724,2012/06/13,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n3725,2012/06/14,\"I had toast and cheese for breakfast with Carter, Kayden\",\"I had toast and cheese for breakfast with Carter, Kayden\"\n3726,2012/06/14,\"I spent 33 talking to Layla, Eva on various topics in the early evening.\",\"I spent 33 talking to Layla, Eva on various topics in the early evening.\"\n3727,2012/06/15,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n3728,2012/06/15,I talked to Claire for 17 minutes during lunch hours.,I talked to Claire for 17 minutes during lunch hours.\n3729,2012/06/15,\"I spent 32 talking to Layla, Nevaeh, Piper, Claire on various topics late in the evening.\",\"I spent 32 talking to Layla, Nevaeh, Piper, Claire on various topics late in the evening.\"\n3730,2012/06/16,\"I went grocery shopping. I bought some cherres, apples, guava, guava juice, tea, and facial wash, paper towel, toilet paper\",\"I went grocery shopping. I bought some cherres, apples, guava, guava juice, tea, and facial wash, paper towel, toilet paper\"\n3731,2012/06/16,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n3732,2012/06/17,\"I went grocery shopping. I bought some nectarines, oranges, guava, mangos, apple juice, sports drinks, and shampoo\",\"I went grocery shopping. I bought some nectarines, oranges, guava, mangos, apple juice, sports drinks, and shampoo\"\n3733,2012/06/17,I prepare a burger for lunch.,I prepare a burger for lunch.\n3734,2012/06/17,I ate sandwich for dinner.,I ate sandwich for dinner.\n3735,2012/06/17,I talked to Nora for 35 minutes in the morning.,I talked to Nora for 35 minutes in the morning.\n3736,2012/06/18,\"On 2012/06/18, I took Charlotte on a date to a boba shop\",\"On 2012/06/18, I took Charlotte on a date to a boba shop\"\n3737,2012/06/18,\"I had dinner with Lydia, Nora, Nevaeh, Olivia, Rylee, Kinsley, Piper, Piper. I ate steak.\",\"I had dinner with Lydia, Nora, Nevaeh, Olivia, Rylee, Kinsley, Piper, Piper. I ate steak.\"\n3738,2012/06/18,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n3739,2012/06/19,\"I had cereals for breakfast with Hazel, Piper, Lydia, Kinsley, Avery, Claire, Rylee, Nevaeh, Eva, Nora, Piper, Layla\",\"I had cereals for breakfast with Hazel, Piper, Lydia, Kinsley, Avery, Claire, Rylee, Nevaeh, Eva, Nora, Piper, Layla\"\n3740,2012/06/19,I prepare sushi for dinner.,I prepare sushi for dinner.\n3741,2012/06/19,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n3742,2012/06/20,\"On 2012/06/20, I took Elizabeth on a date to a boba shop\",\"On 2012/06/20, I took Elizabeth on a date to a boba shop\"\n3743,2012/06/20,I did swimming on 2012/06/20.,I did swimming on 2012/06/20.\n3744,2012/06/20,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n3745,2012/06/20,I ate pasta for dinner.,I ate pasta for dinner.\n3746,2012/06/20,\"I talked to Lydia, Hazel for 54 minutes in the early evening.\",\"I talked to Lydia, Hazel for 54 minutes in the early evening.\"\n3747,2012/06/20,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n3748,2012/06/21,I had dinner. I ate steak.,I had dinner. I ate steak.\n3749,2012/06/21,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n3750,2012/06/21,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n3751,2012/06/22,\"I bought some cherres, strawberries, apple juice, toothpaste, shampoo, toilet paper from the grocery store. I saw Nora, Layla at the grocery store.\",\"I bought some cherres, strawberries, apple juice, toothpaste, shampoo, toilet paper from the grocery store. I saw Nora, Layla at the grocery store.\"\n3752,2012/06/22,\"I had cereals for breakfast with Hazel, Piper, Eva, Layla, Claire\",\"I had cereals for breakfast with Hazel, Piper, Eva, Layla, Claire\"\n3753,2012/06/22,I ate chinese food for lunch.,I ate chinese food for lunch.\n3754,2012/06/22,I ate sushi for dinner.,I ate sushi for dinner.\n3755,2012/06/22,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n3756,2012/06/23,I ate cereals for breakfast.,I ate cereals for breakfast.\n3757,2012/06/23,\"I talked to Claire, Nora, Piper for 51 minutes late in the evening.\",\"I talked to Claire, Nora, Piper for 51 minutes late in the evening.\"\n3758,2012/06/23,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n3759,2012/06/23,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n3760,2012/06/24,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n3761,2012/06/24,\"I had chinese food for dinner with Andrew, Carter, Emily, Kayden\",\"I had chinese food for dinner with Andrew, Carter, Emily, Kayden\"\n3762,2012/06/24,I talked to Olivia for 55 minutes during lunch hours.,I talked to Olivia for 55 minutes during lunch hours.\n3763,2012/06/24,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n3764,2012/06/25,I did hiking on 2012/06/25.,I did hiking on 2012/06/25.\n3765,2012/06/25,\"I had oatmeal for breakfast with Carter, Kayden\",\"I had oatmeal for breakfast with Carter, Kayden\"\n3766,2012/06/25,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n3767,2012/06/25,\"I had dinner with Hazel, Nora, Rylee, Kinsley, Olivia, Layla, Claire, Avery, Lydia, Piper, Nevaeh, Eva. I ate tacos.\",\"I had dinner with Hazel, Nora, Rylee, Kinsley, Olivia, Layla, Claire, Avery, Lydia, Piper, Nevaeh, Eva. I ate tacos.\"\n3768,2012/06/25,\"I spent 10 talking to Piper, Rylee, Piper on various topics in the early afternoon.\",\"I spent 10 talking to Piper, Rylee, Piper on various topics in the early afternoon.\"\n3769,2012/06/25,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n3770,2012/06/25,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n3771,2012/06/26,\"I went grocery shopping with Andrew, Emily, Carter, Kayden. I bought some mangos, soda, and paper towel, shaving cream, facial wash\",\"I went grocery shopping with Andrew, Emily, Carter, Kayden. I bought some mangos, soda, and paper towel, shaving cream, facial wash\"\n3772,2012/06/26,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n3773,2012/06/26,I ate tacos for lunch.,I ate tacos for lunch.\n3774,2012/06/26,I prepare sushi for dinner.,I prepare sushi for dinner.\n3775,2012/06/26,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n3776,2012/06/27,\"I went grocery shopping. I bought some blackberries, mangos, cherres, guava, sports drinks, and toothbrush, paper towel, mouth wash, conditioner\",\"I went grocery shopping. I bought some blackberries, mangos, cherres, guava, sports drinks, and toothbrush, paper towel, mouth wash, conditioner\"\n3777,2012/06/27,I did HIIT on 2012/06/27.,I did HIIT on 2012/06/27.\n3778,2012/06/27,I had breakfast with Avery. I ate toast and cheese.,I had breakfast with Avery. I ate toast and cheese.\n3779,2012/06/27,\"I had lunch with Olivia, Eva, Layla, Avery, Nevaeh, Piper, Hazel, Lydia, Nora, Rylee. I ate indian food.\",\"I had lunch with Olivia, Eva, Layla, Avery, Nevaeh, Piper, Hazel, Lydia, Nora, Rylee. I ate indian food.\"\n3780,2012/06/27,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n3781,2012/06/27,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n3782,2012/06/27,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n3783,2012/06/28,\"I had pancakes for breakfast with Carter, Kayden, Emily\",\"I had pancakes for breakfast with Carter, Kayden, Emily\"\n3784,2012/06/28,I had lunch with Kayden. I ate fish and chips.,I had lunch with Kayden. I ate fish and chips.\n3785,2012/06/28,I spent 28 talking to Olivia on various topics in the late afternoon.,I spent 28 talking to Olivia on various topics in the late afternoon.\n3786,2012/06/28,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n3787,2012/06/29,I spent time yoga on 2012/06/29 with Nora.,I spent time yoga on 2012/06/29 with Nora.\n3788,2012/06/29,I did swimming on 2012/06/29.,I did swimming on 2012/06/29.\n3789,2012/06/29,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n3790,2012/06/29,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n3791,2012/06/29,\"I talked to Lydia, Rylee for 32 minutes in the early afternoon.\",\"I talked to Lydia, Rylee for 32 minutes in the early afternoon.\"\n3792,2012/06/29,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n3793,2012/06/30,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n3794,2012/06/30,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n3795,2012/07/01,I really enjoyed yoga on 2012/07/01,I really enjoyed yoga on 2012/07/01\n3796,2012/07/01,I had cereals for breakfast with Carter,I had cereals for breakfast with Carter\n3797,2012/07/01,\"I had lunch with Piper, Hazel, Lydia, Kinsley, Piper, Claire, Nora. I ate steak.\",\"I had lunch with Piper, Hazel, Lydia, Kinsley, Piper, Claire, Nora. I ate steak.\"\n3798,2012/07/01,\"I spent 25 talking to Layla, Claire, Nora on various topics late in the evening.\",\"I spent 25 talking to Layla, Claire, Nora on various topics late in the evening.\"\n3799,2012/07/01,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n3800,2012/07/01,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n3801,2012/07/02,\"I went grocery shopping. I bought some pears, pineapple juice, sports drinks, and mouthwash, shampoo, mouth wash\",\"I went grocery shopping. I bought some pears, pineapple juice, sports drinks, and mouthwash, shampoo, mouth wash\"\n3802,2012/07/02,I did weight lifting on 2012/07/02.,I did weight lifting on 2012/07/02.\n3803,2012/07/02,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n3804,2012/07/02,I ate tacos for lunch.,I ate tacos for lunch.\n3805,2012/07/02,\"I had pasta for dinner with Kayden, Andrew, Emily, Carter\",\"I had pasta for dinner with Kayden, Andrew, Emily, Carter\"\n3806,2012/07/02,\"I spent 22 talking to Lydia, Claire, Eva on various topics in the early afternoon.\",\"I spent 22 talking to Lydia, Claire, Eva on various topics in the early afternoon.\"\n3807,2012/07/02,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n3808,2012/07/03,I did running on 2012/07/03.,I did running on 2012/07/03.\n3809,2012/07/03,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n3810,2012/07/03,\"I had chinese food for dinner with Andrew, Emily, Kayden, Carter\",\"I had chinese food for dinner with Andrew, Emily, Kayden, Carter\"\n3811,2012/07/03,I talked to Kinsley for 43 minutes in the morning.,I talked to Kinsley for 43 minutes in the morning.\n3812,2012/07/04,\"I spent time learning a language on 2012/07/04 with Andrew, Carter, Kayden.\",\"I spent time learning a language on 2012/07/04 with Andrew, Carter, Kayden.\"\n3813,2012/07/04,\"I bought some blueberries, soda, coffee, facial wash, shaving cream from the grocery store. I saw Andrew at the grocery store.\",\"I bought some blueberries, soda, coffee, facial wash, shaving cream from the grocery store. I saw Andrew at the grocery store.\"\n3814,2012/07/04,I did running on 2012/07/04.,I did running on 2012/07/04.\n3815,2012/07/04,I had pancakes for breakfast with Kayden,I had pancakes for breakfast with Kayden\n3816,2012/07/04,\"I had sushi for lunch with Andrew, Kayden, Emily, Carter\",\"I had sushi for lunch with Andrew, Kayden, Emily, Carter\"\n3817,2012/07/04,\"I had dinner with Piper, Layla, Lydia, Eva, Hazel, Rylee, Nevaeh, Kinsley, Piper, Avery, Olivia, Claire, Nora. I ate a burger.\",\"I had dinner with Piper, Layla, Lydia, Eva, Hazel, Rylee, Nevaeh, Kinsley, Piper, Avery, Olivia, Claire, Nora. I ate a burger.\"\n3818,2012/07/04,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n3819,2012/07/05,I did hiking on 2012/07/05.,I did hiking on 2012/07/05.\n3820,2012/07/05,I had indian food for lunch with Benjamin,I had indian food for lunch with Benjamin\n3821,2012/07/05,\"I talked to Lydia, Piper for 17 minutes late in the evening.\",\"I talked to Lydia, Piper for 17 minutes late in the evening.\"\n3822,2012/07/05,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n3823,2012/07/06,I did swimming on 2012/07/06.,I did swimming on 2012/07/06.\n3824,2012/07/06,I prepare a burger for dinner.,I prepare a burger for dinner.\n3825,2012/07/06,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n3826,2012/07/07,\"On 2012/07/07, I took Maverick on a date to a restaurant\",\"On 2012/07/07, I took Maverick on a date to a restaurant\"\n3827,2012/07/07,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n3828,2012/07/07,\"I had dinner with Andrew, Kayden, Carter. I ate indian food.\",\"I had dinner with Andrew, Kayden, Carter. I ate indian food.\"\n3829,2012/07/07,\"I talked to Eva, Nora, Lydia for 41 minutes in the morning.\",\"I talked to Eva, Nora, Lydia for 41 minutes in the morning.\"\n3830,2012/07/07,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n3831,2012/07/07,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n3832,2012/07/08,\"I had cereals for breakfast with Carter, Emily, Kayden\",\"I had cereals for breakfast with Carter, Emily, Kayden\"\n3833,2012/07/08,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n3834,2012/07/08,I watched a tv series for 5 minutes on TV today.,I watched a tv series for 5 minutes on TV today.\n3835,2012/07/09,I had breakfast with Avery. I ate pancakes.,I had breakfast with Avery. I ate pancakes.\n3836,2012/07/09,I had lunch. I ate steak.,I had lunch. I ate steak.\n3837,2012/07/09,I ate chinese food for dinner.,I ate chinese food for dinner.\n3838,2012/07/10,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n3839,2012/07/10,I talked to Nevaeh for 42 minutes in the morning.,I talked to Nevaeh for 42 minutes in the morning.\n3840,2012/07/10,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n3841,2012/07/10,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n3842,2012/07/11,I did swimming on 2012/07/11.,I did swimming on 2012/07/11.\n3843,2012/07/11,\"I had pasta for lunch with Olivia, Piper\",\"I had pasta for lunch with Olivia, Piper\"\n3844,2012/07/11,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n3845,2012/07/11,I spent 35 minutes watching a movie on TV today.,I spent 35 minutes watching a movie on TV today.\n3846,2012/07/12,I did weight lifting on 2012/07/12.,I did weight lifting on 2012/07/12.\n3847,2012/07/12,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n3848,2012/07/12,I ate a burger for dinner.,I ate a burger for dinner.\n3849,2012/07/12,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n3850,2012/07/13,I did swimming on 2012/07/13.,I did swimming on 2012/07/13.\n3851,2012/07/13,I prepare tacos for lunch.,I prepare tacos for lunch.\n3852,2012/07/13,\"I had dinner with Andrew, Kayden. I ate steak.\",\"I had dinner with Andrew, Kayden. I ate steak.\"\n3853,2012/07/13,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n3854,2012/07/13,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n3855,2012/07/14,I did hiking on 2012/07/14.,I did hiking on 2012/07/14.\n3856,2012/07/14,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n3857,2012/07/14,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n3858,2012/07/14,\"I talked to Kinsley, Piper, Piper, Nora for 31 minutes in the early afternoon.\",\"I talked to Kinsley, Piper, Piper, Nora for 31 minutes in the early afternoon.\"\n3859,2012/07/14,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n3860,2012/07/15,\"I spent time gardening on 2012/07/15 with Avery, Jackson.\",\"I spent time gardening on 2012/07/15 with Avery, Jackson.\"\n3861,2012/07/15,\"I talked to Olivia, Layla for 35 minutes in the early afternoon.\",\"I talked to Olivia, Layla for 35 minutes in the early afternoon.\"\n3862,2012/07/15,\"I talked to Piper, Avery, Rylee for 26 minutes in the early afternoon.\",\"I talked to Piper, Avery, Rylee for 26 minutes in the early afternoon.\"\n3863,2012/07/15,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n3864,2012/07/15,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n3865,2012/07/16,\"I bought some peaches, apple juice, orange juice, mouth wash, shampoo online.\",\"I bought some peaches, apple juice, orange juice, mouth wash, shampoo online.\"\n3866,2012/07/16,I did HIIT on 2012/07/16.,I did HIIT on 2012/07/16.\n3867,2012/07/16,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n3868,2012/07/16,\"I spent 42 talking to Rylee, Piper, Claire on various topics late in the evening.\",\"I spent 42 talking to Rylee, Piper, Claire on various topics late in the evening.\"\n3869,2012/07/16,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n3870,2012/07/17,I did running on 2012/07/17.,I did running on 2012/07/17.\n3871,2012/07/17,\"I had toast and cheese for breakfast with Kayden, Carter, Andrew\",\"I had toast and cheese for breakfast with Kayden, Carter, Andrew\"\n3872,2012/07/17,\"I spent 17 talking to Lydia, Layla on various topics in the early afternoon.\",\"I spent 17 talking to Lydia, Layla on various topics in the early afternoon.\"\n3873,2012/07/17,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n3874,2012/07/18,I did weight lifting on 2012/07/18.,I did weight lifting on 2012/07/18.\n3875,2012/07/18,I had lunch. I ate steak.,I had lunch. I ate steak.\n3876,2012/07/18,I talked to Rylee for 12 minutes during lunch hours.,I talked to Rylee for 12 minutes during lunch hours.\n3877,2012/07/18,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n3878,2012/07/19,\"On 2012/07/19, I took Ariana on a date to a coffee Shop\",\"On 2012/07/19, I took Ariana on a date to a coffee Shop\"\n3879,2012/07/19,I had lunch with Kayden. I ate sushi.,I had lunch with Kayden. I ate sushi.\n3880,2012/07/19,I prepare pasta for dinner.,I prepare pasta for dinner.\n3881,2012/07/19,\"I talked to Nevaeh, Nora, Piper for 37 minutes in the early afternoon.\",\"I talked to Nevaeh, Nora, Piper for 37 minutes in the early afternoon.\"\n3882,2012/07/19,\"I talked to Hazel, Nevaeh, Lydia, Avery for 46 minutes in the morning.\",\"I talked to Hazel, Nevaeh, Lydia, Avery for 46 minutes in the morning.\"\n3883,2012/07/20,I did biking on 2012/07/20.,I did biking on 2012/07/20.\n3884,2012/07/20,I ate cereals for breakfast.,I ate cereals for breakfast.\n3885,2012/07/20,I prepare indian food for dinner.,I prepare indian food for dinner.\n3886,2012/07/20,\"I spent 23 talking to Hazel, Piper on various topics in the late afternoon.\",\"I spent 23 talking to Hazel, Piper on various topics in the late afternoon.\"\n3887,2012/07/21,I did HIIT on 2012/07/21.,I did HIIT on 2012/07/21.\n3888,2012/07/21,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n3889,2012/07/21,I had lunch. I ate steak.,I had lunch. I ate steak.\n3890,2012/07/21,I talked to Piper for 51 minutes in the early afternoon.,I talked to Piper for 51 minutes in the early afternoon.\n3891,2012/07/21,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n3892,2012/07/22,\"On 2012/07/22, I took Elena on a date to a boba shop\",\"On 2012/07/22, I took Elena on a date to a boba shop\"\n3893,2012/07/22,\"I bought some watermelons, apple juice, orange juice, mineral water, tea, toothbrush, body lotion, toothpaste online.\",\"I bought some watermelons, apple juice, orange juice, mineral water, tea, toothbrush, body lotion, toothpaste online.\"\n3894,2012/07/22,I had breakfast with Jackson. I ate toast and cheese.,I had breakfast with Jackson. I ate toast and cheese.\n3895,2012/07/22,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n3896,2012/07/22,I prepare a burger for dinner.,I prepare a burger for dinner.\n3897,2012/07/22,\"I talked to Eva, Hazel for 30 minutes late in the evening.\",\"I talked to Eva, Hazel for 30 minutes late in the evening.\"\n3898,2012/07/22,\"I talked to Kinsley, Piper, Nevaeh, Piper for 36 minutes late in the evening.\",\"I talked to Kinsley, Piper, Nevaeh, Piper for 36 minutes late in the evening.\"\n3899,2012/07/22,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n3900,2012/07/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n3901,2012/07/23,I had tacos for lunch with Carter,I had tacos for lunch with Carter\n3902,2012/07/23,\"I had dinner with Emily, Carter. I ate sandwich.\",\"I had dinner with Emily, Carter. I ate sandwich.\"\n3903,2012/07/23,I spent 35 talking to Olivia on various topics in the early afternoon.,I spent 35 talking to Olivia on various topics in the early afternoon.\n3904,2012/07/24,I did running on 2012/07/24.,I did running on 2012/07/24.\n3905,2012/07/25,I did running on 2012/07/25.,I did running on 2012/07/25.\n3906,2012/07/25,I talked to Olivia for 30 minutes in the morning.,I talked to Olivia for 30 minutes in the morning.\n3907,2012/07/25,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n3908,2012/07/26,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n3909,2012/07/27,\"I had lunch with Andrew, Kayden, Carter, Emily. I ate chinese food.\",\"I had lunch with Andrew, Kayden, Carter, Emily. I ate chinese food.\"\n3910,2012/07/27,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n3911,2012/07/27,\"I talked to Layla, Hazel, Lydia for 31 minutes late in the evening.\",\"I talked to Layla, Hazel, Lydia for 31 minutes late in the evening.\"\n3912,2012/07/28,\"I bought some apples, blackberries, guava juice, toothpaste, shampoo, facial wash, body lotion online.\",\"I bought some apples, blackberries, guava juice, toothpaste, shampoo, facial wash, body lotion online.\"\n3913,2012/07/28,I had lunch with Kayden. I ate tacos.,I had lunch with Kayden. I ate tacos.\n3914,2012/07/28,\"I spent 16 talking to Piper, Layla, Piper on various topics during lunch hours.\",\"I spent 16 talking to Piper, Layla, Piper on various topics during lunch hours.\"\n3915,2012/07/28,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n3916,2012/07/29,\"I went grocery shopping. I bought some bananas, nectarines, apples, chocolate milk, and mouthwash, body lotion, shampoo, mouth wash\",\"I went grocery shopping. I bought some bananas, nectarines, apples, chocolate milk, and mouthwash, body lotion, shampoo, mouth wash\"\n3917,2012/07/29,I did hiking on 2012/07/29.,I did hiking on 2012/07/29.\n3918,2012/07/29,\"I had toast and cheese for breakfast with Carter, Kayden, Andrew, Emily\",\"I had toast and cheese for breakfast with Carter, Kayden, Andrew, Emily\"\n3919,2012/07/29,I spent 37 talking to Hazel on various topics in the early afternoon.,I spent 37 talking to Hazel on various topics in the early afternoon.\n3920,2012/07/29,I talked to Olivia for 32 minutes in the early evening.,I talked to Olivia for 32 minutes in the early evening.\n3921,2012/07/30,\"I spent time yoga on 2012/07/30 with Kayden, Andrew, Emily.\",\"I spent time yoga on 2012/07/30 with Kayden, Andrew, Emily.\"\n3922,2012/07/30,I did HIIT on 2012/07/30.,I did HIIT on 2012/07/30.\n3923,2012/07/30,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n3924,2012/07/30,\"I had chinese food for lunch with Andrew, Emily, Kayden, Carter\",\"I had chinese food for lunch with Andrew, Emily, Kayden, Carter\"\n3925,2012/07/31,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n3926,2012/07/31,\"I had sandwich for lunch with Eva, Avery, Nora, Piper, Piper, Hazel, Claire, Kinsley, Nevaeh, Olivia, Lydia, Rylee\",\"I had sandwich for lunch with Eva, Avery, Nora, Piper, Piper, Hazel, Claire, Kinsley, Nevaeh, Olivia, Lydia, Rylee\"\n3927,2012/07/31,I prepare pasta for dinner.,I prepare pasta for dinner.\n3928,2012/07/31,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n3929,2012/07/31,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n3930,2012/08/01,\"I had oatmeal for breakfast with Avery, Eva, Layla, Nevaeh, Piper, Piper, Kinsley, Hazel, Nora\",\"I had oatmeal for breakfast with Avery, Eva, Layla, Nevaeh, Piper, Piper, Kinsley, Hazel, Nora\"\n3931,2012/08/01,\"I spent 23 talking to Eva, Nevaeh, Avery, Layla on various topics in the late afternoon.\",\"I spent 23 talking to Eva, Nevaeh, Avery, Layla on various topics in the late afternoon.\"\n3932,2012/08/01,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n3933,2012/08/01,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n3934,2012/08/02,\"I had breakfast with Andrew, Emily, Carter. I ate pancakes.\",\"I had breakfast with Andrew, Emily, Carter. I ate pancakes.\"\n3935,2012/08/02,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n3936,2012/08/02,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n3937,2012/08/02,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n3938,2012/08/03,\"I went grocery shopping with Kayden, Carter, Emily, Andrew. I bought some mandarins, clementines, mango juice, coffee, and toilet paper, shaving cream, mouthwash, body lotion\",\"I went grocery shopping with Kayden, Carter, Emily, Andrew. I bought some mandarins, clementines, mango juice, coffee, and toilet paper, shaving cream, mouthwash, body lotion\"\n3939,2012/08/03,\"I had peanut-butter-jam for breakfast with Benjamin, Willow, Avery\",\"I had peanut-butter-jam for breakfast with Benjamin, Willow, Avery\"\n3940,2012/08/03,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n3941,2012/08/03,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n3942,2012/08/04,I went for an annual physical checkup on 2012/08/04 at the private clinic.,I went for an annual physical checkup on 2012/08/04 at the private clinic.\n3943,2012/08/04,I did HIIT on 2012/08/04.,I did HIIT on 2012/08/04.\n3944,2012/08/04,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n3945,2012/08/04,I prepare pasta for dinner.,I prepare pasta for dinner.\n3946,2012/08/04,I talked to Claire for 25 minutes during lunch hours.,I talked to Claire for 25 minutes during lunch hours.\n3947,2012/08/04,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n3948,2012/08/05,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n3949,2012/08/05,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n3950,2012/08/05,\"I spent 23 talking to Layla, Kinsley, Lydia on various topics in the early afternoon.\",\"I spent 23 talking to Layla, Kinsley, Lydia on various topics in the early afternoon.\"\n3951,2012/08/05,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n3952,2012/08/06,\"I had toast and cheese for breakfast with Benjamin, Jackson, Avery, Willow\",\"I had toast and cheese for breakfast with Benjamin, Jackson, Avery, Willow\"\n3953,2012/08/06,\"I talked to Rylee, Hazel, Kinsley, Olivia for 54 minutes in the morning.\",\"I talked to Rylee, Hazel, Kinsley, Olivia for 54 minutes in the morning.\"\n3954,2012/08/07,I did hiking on 2012/08/07.,I did hiking on 2012/08/07.\n3955,2012/08/07,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n3956,2012/08/07,I had lunch with Andrew. I ate sandwich.,I had lunch with Andrew. I ate sandwich.\n3957,2012/08/07,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n3958,2012/08/07,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n3959,2012/08/08,\"I went grocery shopping with Carter. I bought some blueberries, apricots, mineral water, mango juice, apple juice, and toothbrush\",\"I went grocery shopping with Carter. I bought some blueberries, apricots, mineral water, mango juice, apple juice, and toothbrush\"\n3960,2012/08/08,\"I had lunch with Kayden, Andrew, Emily. I ate tacos.\",\"I had lunch with Kayden, Andrew, Emily. I ate tacos.\"\n3961,2012/08/08,\"I spent 39 talking to Olivia, Eva, Nevaeh on various topics late in the evening.\",\"I spent 39 talking to Olivia, Eva, Nevaeh on various topics late in the evening.\"\n3962,2012/08/08,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n3963,2012/08/09,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n3964,2012/08/09,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n3965,2012/08/10,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n3966,2012/08/10,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n3967,2012/08/10,\"I talked to Claire, Kinsley, Nora for 19 minutes in the morning.\",\"I talked to Claire, Kinsley, Nora for 19 minutes in the morning.\"\n3968,2012/08/10,\"I talked to Layla, Nora, Claire, Kinsley for 39 minutes during lunch hours.\",\"I talked to Layla, Nora, Claire, Kinsley for 39 minutes during lunch hours.\"\n3969,2012/08/10,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n3970,2012/08/11,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n3971,2012/08/11,\"I had lunch with Emily, Andrew. I ate sandwich.\",\"I had lunch with Emily, Andrew. I ate sandwich.\"\n3972,2012/08/11,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n3973,2012/08/11,\"I talked to Rylee, Piper, Piper for 31 minutes in the morning.\",\"I talked to Rylee, Piper, Piper for 31 minutes in the morning.\"\n3974,2012/08/11,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n3975,2012/08/12,I did hiking on 2012/08/12.,I did hiking on 2012/08/12.\n3976,2012/08/12,I had lunch with Jackson. I ate tacos.,I had lunch with Jackson. I ate tacos.\n3977,2012/08/12,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n3978,2012/08/13,\"I talked to Nevaeh, Eva for 33 minutes late in the evening.\",\"I talked to Nevaeh, Eva for 33 minutes late in the evening.\"\n3979,2012/08/13,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n3980,2012/08/14,I spent some time learning a language on 2012/08/14.,I spent some time learning a language on 2012/08/14.\n3981,2012/08/14,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n3982,2012/08/14,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n3983,2012/08/14,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n3984,2012/08/15,I went on a date with Hunter on 2012/08/15 at a restaurant,I went on a date with Hunter on 2012/08/15 at a restaurant\n3985,2012/08/15,I did HIIT on 2012/08/15.,I did HIIT on 2012/08/15.\n3986,2012/08/15,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n3987,2012/08/15,\"I spent 37 talking to Rylee, Nevaeh, Claire, Olivia on various topics late in the evening.\",\"I spent 37 talking to Rylee, Nevaeh, Claire, Olivia on various topics late in the evening.\"\n3988,2012/08/15,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n3989,2012/08/15,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n3990,2012/08/16,I really enjoyed yoga on 2012/08/16,I really enjoyed yoga on 2012/08/16\n3991,2012/08/16,I did weight lifting on 2012/08/16.,I did weight lifting on 2012/08/16.\n3992,2012/08/16,I prepare pasta for dinner.,I prepare pasta for dinner.\n3993,2012/08/16,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n3994,2012/08/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n3995,2012/08/17,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n3996,2012/08/17,I had dinner. I ate steak.,I had dinner. I ate steak.\n3997,2012/08/18,I did hiking on 2012/08/18.,I did hiking on 2012/08/18.\n3998,2012/08/18,\"I had oatmeal for breakfast with Kayden, Andrew, Carter, Emily\",\"I had oatmeal for breakfast with Kayden, Andrew, Carter, Emily\"\n3999,2012/08/18,I ate chinese food for lunch.,I ate chinese food for lunch.\n4000,2012/08/18,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n4001,2012/08/18,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n4002,2012/08/18,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n4003,2012/08/19,I did running on 2012/08/19.,I did running on 2012/08/19.\n4004,2012/08/19,\"I had dinner with Jackson, Avery, Willow, Benjamin. I ate pasta.\",\"I had dinner with Jackson, Avery, Willow, Benjamin. I ate pasta.\"\n4005,2012/08/19,\"I spent 19 talking to Piper, Nora, Hazel on various topics in the morning.\",\"I spent 19 talking to Piper, Nora, Hazel on various topics in the morning.\"\n4006,2012/08/19,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n4007,2012/08/20,\"I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some apples, cherres, milk, sports drinks, and mouth wash, paper towel, facial wash\",\"I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some apples, cherres, milk, sports drinks, and mouth wash, paper towel, facial wash\"\n4008,2012/08/20,I did weight lifting on 2012/08/20.,I did weight lifting on 2012/08/20.\n4009,2012/08/20,\"I had pasta for lunch with Andrew, Kayden\",\"I had pasta for lunch with Andrew, Kayden\"\n4010,2012/08/20,I ate a burger for dinner.,I ate a burger for dinner.\n4011,2012/08/20,\"I spent 55 talking to Piper, Olivia, Piper on various topics in the late afternoon.\",\"I spent 55 talking to Piper, Olivia, Piper on various topics in the late afternoon.\"\n4012,2012/08/20,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n4013,2012/08/21,I did running on 2012/08/21.,I did running on 2012/08/21.\n4014,2012/08/21,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n4015,2012/08/21,I prepare tacos for dinner.,I prepare tacos for dinner.\n4016,2012/08/22,I went on a date with Aaron on 2012/08/22 at a restaurant,I went on a date with Aaron on 2012/08/22 at a restaurant\n4017,2012/08/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n4018,2012/08/22,I ate indian food for dinner.,I ate indian food for dinner.\n4019,2012/08/22,I talked to Piper for 26 minutes in the early evening.,I talked to Piper for 26 minutes in the early evening.\n4020,2012/08/23,I did swimming on 2012/08/23.,I did swimming on 2012/08/23.\n4021,2012/08/23,\"I had pancakes for breakfast with Benjamin, Willow\",\"I had pancakes for breakfast with Benjamin, Willow\"\n4022,2012/08/23,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n4023,2012/08/23,I ate steak for dinner.,I ate steak for dinner.\n4024,2012/08/23,I talked to Olivia for 42 minutes in the early evening.,I talked to Olivia for 42 minutes in the early evening.\n4025,2012/08/23,\"I talked to Kinsley, Eva, Hazel for 22 minutes in the morning.\",\"I talked to Kinsley, Eva, Hazel for 22 minutes in the morning.\"\n4026,2012/08/24,\"I went grocery shopping with Andrew. I bought some pineapples, cherres, clementines, pears, milk, orange juice, and toothbrush, paper towel, facial wash, conditioner\",\"I went grocery shopping with Andrew. I bought some pineapples, cherres, clementines, pears, milk, orange juice, and toothbrush, paper towel, facial wash, conditioner\"\n4027,2012/08/24,\"I had breakfast with Kayden, Emily. I ate pancakes.\",\"I had breakfast with Kayden, Emily. I ate pancakes.\"\n4028,2012/08/24,\"I had indian food for lunch with Emily, Kayden\",\"I had indian food for lunch with Emily, Kayden\"\n4029,2012/08/24,\"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\",\"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\"\n4030,2012/08/24,\"I talked to Eva, Kinsley for 35 minutes in the early afternoon.\",\"I talked to Eva, Kinsley for 35 minutes in the early afternoon.\"\n4031,2012/08/24,I spent 39 talking to Piper on various topics in the early afternoon.,I spent 39 talking to Piper on various topics in the early afternoon.\n4032,2012/08/24,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n4033,2012/08/25,\"I spent 29 talking to Kinsley, Rylee, Eva on various topics in the early evening.\",\"I spent 29 talking to Kinsley, Rylee, Eva on various topics in the early evening.\"\n4034,2012/08/25,I spent 30 minutes watching a tv series on TV today.,I spent 30 minutes watching a tv series on TV today.\n4035,2012/08/26,I did HIIT on 2012/08/26.,I did HIIT on 2012/08/26.\n4036,2012/08/26,I ate pasta for lunch.,I ate pasta for lunch.\n4037,2012/08/26,\"I had dinner with Kayden, Emily, Andrew, Carter. I ate sandwich.\",\"I had dinner with Kayden, Emily, Andrew, Carter. I ate sandwich.\"\n4038,2012/08/26,I talked to Hazel for 46 minutes late in the evening.,I talked to Hazel for 46 minutes late in the evening.\n4039,2012/08/26,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n4040,2012/08/26,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n4041,2012/08/27,\"I had dinner with Kayden, Andrew, Emily, Carter. I ate tacos.\",\"I had dinner with Kayden, Andrew, Emily, Carter. I ate tacos.\"\n4042,2012/08/27,\"I spent 25 talking to Eva, Avery on various topics in the late afternoon.\",\"I spent 25 talking to Eva, Avery on various topics in the late afternoon.\"\n4043,2012/08/28,I spent some time meditation on 2012/08/28.,I spent some time meditation on 2012/08/28.\n4044,2012/08/28,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n4045,2012/08/28,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n4046,2012/08/28,\"I spent 34 talking to Nevaeh, Claire, Layla, Nora on various topics during lunch hours.\",\"I spent 34 talking to Nevaeh, Claire, Layla, Nora on various topics during lunch hours.\"\n4047,2012/08/29,I went on a date with Gabriella on 2012/08/29 at a restaurant,I went on a date with Gabriella on 2012/08/29 at a restaurant\n4048,2012/08/29,\"I went grocery shopping with Willow, Benjamin, Jackson, Avery. I bought some cherres, milk, pineapple juice, orange juice, and paper towel, toothpaste\",\"I went grocery shopping with Willow, Benjamin, Jackson, Avery. I bought some cherres, milk, pineapple juice, orange juice, and paper towel, toothpaste\"\n4049,2012/08/29,\"I had breakfast with Emily, Carter, Andrew. I ate toast and cheese.\",\"I had breakfast with Emily, Carter, Andrew. I ate toast and cheese.\"\n4050,2012/08/29,\"I spent 15 talking to Rylee, Kinsley, Eva on various topics late in the evening.\",\"I spent 15 talking to Rylee, Kinsley, Eva on various topics late in the evening.\"\n4051,2012/08/29,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n4052,2012/08/30,I did weight lifting on 2012/08/30.,I did weight lifting on 2012/08/30.\n4053,2012/08/30,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n4054,2012/08/30,\"I had indian food for dinner with Kayden, Emily, Andrew, Carter\",\"I had indian food for dinner with Kayden, Emily, Andrew, Carter\"\n4055,2012/08/30,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n4056,2012/08/31,\"I had sandwich for dinner with Benjamin, Willow, Jackson\",\"I had sandwich for dinner with Benjamin, Willow, Jackson\"\n4057,2012/08/31,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n4058,2012/08/31,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n4059,2012/09/01,I did HIIT on 2012/09/01.,I did HIIT on 2012/09/01.\n4060,2012/09/01,\"I had breakfast with Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery. I ate eggs, sausages, and bread.\"\n4061,2012/09/01,I prepare indian food for lunch.,I prepare indian food for lunch.\n4062,2012/09/01,\"I had chinese food for dinner with Nevaeh, Olivia, Kinsley, Eva, Piper, Avery, Claire, Lydia, Hazel, Rylee\",\"I had chinese food for dinner with Nevaeh, Olivia, Kinsley, Eva, Piper, Avery, Claire, Lydia, Hazel, Rylee\"\n4063,2012/09/01,\"I spent 24 talking to Hazel, Piper on various topics in the early evening.\",\"I spent 24 talking to Hazel, Piper on various topics in the early evening.\"\n4064,2012/09/01,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n4065,2012/09/01,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n4066,2012/09/02,I did HIIT on 2012/09/02.,I did HIIT on 2012/09/02.\n4067,2012/09/02,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n4068,2012/09/02,I had dinner with Carter. I ate tacos.,I had dinner with Carter. I ate tacos.\n4069,2012/09/02,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n4070,2012/09/02,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n4071,2012/09/03,I prepare indian food for lunch.,I prepare indian food for lunch.\n4072,2012/09/03,I prepare indian food for dinner.,I prepare indian food for dinner.\n4073,2012/09/03,I talked to Kinsley for 34 minutes in the late afternoon.,I talked to Kinsley for 34 minutes in the late afternoon.\n4074,2012/09/03,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n4075,2012/09/04,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n4076,2012/09/04,I ate chinese food for dinner.,I ate chinese food for dinner.\n4077,2012/09/04,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n4078,2012/09/05,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n4079,2012/09/05,I spent 13 talking to Nora on various topics late in the evening.,I spent 13 talking to Nora on various topics late in the evening.\n4080,2012/09/05,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n4081,2012/09/06,I did running on 2012/09/06.,I did running on 2012/09/06.\n4082,2012/09/06,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n4083,2012/09/06,I prepare tacos for lunch.,I prepare tacos for lunch.\n4084,2012/09/06,\"I talked to Olivia, Hazel, Piper, Eva for 37 minutes in the early afternoon.\",\"I talked to Olivia, Hazel, Piper, Eva for 37 minutes in the early afternoon.\"\n4085,2012/09/06,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n4086,2012/09/07,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n4087,2012/09/08,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n4088,2012/09/08,\"I had sushi for lunch with Emily, Carter, Kayden\",\"I had sushi for lunch with Emily, Carter, Kayden\"\n4089,2012/09/08,I spent 13 talking to Eva on various topics in the early afternoon.,I spent 13 talking to Eva on various topics in the early afternoon.\n4090,2012/09/09,I did HIIT on 2012/09/09.,I did HIIT on 2012/09/09.\n4091,2012/09/09,I prepare a burger for dinner.,I prepare a burger for dinner.\n4092,2012/09/09,I spent 9 talking to Nora on various topics late in the evening.,I spent 9 talking to Nora on various topics late in the evening.\n4093,2012/09/09,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n4094,2012/09/10,\"I bought some raspberries, peaches, guava, milk, soda, facial wash, conditioner from the grocery store. I saw Andrew, Carter, Kayden at the grocery store.\",\"I bought some raspberries, peaches, guava, milk, soda, facial wash, conditioner from the grocery store. I saw Andrew, Carter, Kayden at the grocery store.\"\n4095,2012/09/10,I did HIIT on 2012/09/10.,I did HIIT on 2012/09/10.\n4096,2012/09/10,I ate chinese food for lunch.,I ate chinese food for lunch.\n4097,2012/09/10,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n4098,2012/09/11,I did swimming on 2012/09/11.,I did swimming on 2012/09/11.\n4099,2012/09/11,I had pancakes for breakfast with Carter,I had pancakes for breakfast with Carter\n4100,2012/09/11,I spent 41 talking to Layla on various topics during lunch hours.,I spent 41 talking to Layla on various topics during lunch hours.\n4101,2012/09/11,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n4102,2012/09/12,I had lunch with Emily. I ate pasta.,I had lunch with Emily. I ate pasta.\n4103,2012/09/12,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n4104,2012/09/13,I did weight lifting on 2012/09/13.,I did weight lifting on 2012/09/13.\n4105,2012/09/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n4106,2012/09/13,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n4107,2012/09/13,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n4108,2012/09/14,I did biking on 2012/09/14.,I did biking on 2012/09/14.\n4109,2012/09/14,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n4110,2012/09/14,\"I had a burger for dinner with Jackson, Willow, Avery\",\"I had a burger for dinner with Jackson, Willow, Avery\"\n4111,2012/09/14,\"I spent 11 talking to Nora, Eva, Layla on various topics in the morning.\",\"I spent 11 talking to Nora, Eva, Layla on various topics in the morning.\"\n4112,2012/09/14,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n4113,2012/09/14,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n4114,2012/09/15,I did running on 2012/09/15.,I did running on 2012/09/15.\n4115,2012/09/15,\"I had pancakes for breakfast with Andrew, Carter\",\"I had pancakes for breakfast with Andrew, Carter\"\n4116,2012/09/15,I had sandwich for lunch with Olivia,I had sandwich for lunch with Olivia\n4117,2012/09/15,I ate steak for dinner.,I ate steak for dinner.\n4118,2012/09/15,\"I talked to Nora, Olivia, Lydia, Hazel for 47 minutes late in the evening.\",\"I talked to Nora, Olivia, Lydia, Hazel for 47 minutes late in the evening.\"\n4119,2012/09/15,I watched a tv series for 5 minutes on TV today.,I watched a tv series for 5 minutes on TV today.\n4120,2012/09/16,I went on a date with Sadie on 2012/09/16 at a boba shop,I went on a date with Sadie on 2012/09/16 at a boba shop\n4121,2012/09/16,I did weight lifting on 2012/09/16.,I did weight lifting on 2012/09/16.\n4122,2012/09/16,I prepare sushi for lunch.,I prepare sushi for lunch.\n4123,2012/09/16,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n4124,2012/09/17,I did HIIT on 2012/09/17.,I did HIIT on 2012/09/17.\n4125,2012/09/17,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n4126,2012/09/17,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n4127,2012/09/17,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n4128,2012/09/18,\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden\",\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden\"\n4129,2012/09/18,I prepare tacos for lunch.,I prepare tacos for lunch.\n4130,2012/09/18,I talked to Claire for 15 minutes in the early afternoon.,I talked to Claire for 15 minutes in the early afternoon.\n4131,2012/09/19,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n4132,2012/09/19,I ate indian food for lunch.,I ate indian food for lunch.\n4133,2012/09/19,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n4134,2012/09/19,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n4135,2012/09/20,I did weight lifting on 2012/09/20.,I did weight lifting on 2012/09/20.\n4136,2012/09/20,I prepare sushi for lunch.,I prepare sushi for lunch.\n4137,2012/09/20,\"I talked to Olivia, Rylee, Layla, Kinsley for 33 minutes in the early evening.\",\"I talked to Olivia, Rylee, Layla, Kinsley for 33 minutes in the early evening.\"\n4138,2012/09/20,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n4139,2012/09/21,I did weight lifting on 2012/09/21.,I did weight lifting on 2012/09/21.\n4140,2012/09/21,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n4141,2012/09/21,\"I had lunch with Kayden, Emily, Carter, Andrew. I ate sushi.\",\"I had lunch with Kayden, Emily, Carter, Andrew. I ate sushi.\"\n4142,2012/09/21,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n4143,2012/09/21,I spent 27 minutes watching a documentary on TV today.,I spent 27 minutes watching a documentary on TV today.\n4144,2012/09/22,\"I had eggs, sausages, and bread for breakfast with Piper, Nora\",\"I had eggs, sausages, and bread for breakfast with Piper, Nora\"\n4145,2012/09/22,I talked to Lydia for 7 minutes in the late afternoon.,I talked to Lydia for 7 minutes in the late afternoon.\n4146,2012/09/22,\"I spent 20 talking to Claire, Hazel, Olivia on various topics in the early evening.\",\"I spent 20 talking to Claire, Hazel, Olivia on various topics in the early evening.\"\n4147,2012/09/23,I went on a date with Eliana on 2012/09/23 at a boba shop,I went on a date with Eliana on 2012/09/23 at a boba shop\n4148,2012/09/23,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n4149,2012/09/23,\"I had fish and chips for lunch with Emily, Kayden\",\"I had fish and chips for lunch with Emily, Kayden\"\n4150,2012/09/23,\"I talked to Piper, Claire for 44 minutes during lunch hours.\",\"I talked to Piper, Claire for 44 minutes during lunch hours.\"\n4151,2012/09/23,\"I talked to Avery, Piper, Nora for 13 minutes in the morning.\",\"I talked to Avery, Piper, Nora for 13 minutes in the morning.\"\n4152,2012/09/23,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n4153,2012/09/23,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n4154,2012/09/24,I did running on 2012/09/24.,I did running on 2012/09/24.\n4155,2012/09/24,I had lunch. I ate steak.,I had lunch. I ate steak.\n4156,2012/09/24,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n4157,2012/09/25,I spent time working out on 2012/09/25 with Emily.,I spent time working out on 2012/09/25 with Emily.\n4158,2012/09/25,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n4159,2012/09/25,I ate a burger for dinner.,I ate a burger for dinner.\n4160,2012/09/25,\"I spent 14 talking to Layla, Lydia on various topics late in the evening.\",\"I spent 14 talking to Layla, Lydia on various topics late in the evening.\"\n4161,2012/09/25,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n4162,2012/09/26,\"I had toast and cheese for breakfast with Eva, Nora, Kinsley, Claire, Nevaeh, Rylee, Olivia, Layla, Piper, Avery, Lydia, Hazel, Piper\",\"I had toast and cheese for breakfast with Eva, Nora, Kinsley, Claire, Nevaeh, Rylee, Olivia, Layla, Piper, Avery, Lydia, Hazel, Piper\"\n4163,2012/09/26,I ate chinese food for lunch.,I ate chinese food for lunch.\n4164,2012/09/26,\"I spent 5 talking to Piper, Lydia, Nevaeh on various topics during lunch hours.\",\"I spent 5 talking to Piper, Lydia, Nevaeh on various topics during lunch hours.\"\n4165,2012/09/26,\"I talked to Layla, Hazel, Eva for 11 minutes in the morning.\",\"I talked to Layla, Hazel, Eva for 11 minutes in the morning.\"\n4166,2012/09/26,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n4167,2012/09/27,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n4168,2012/09/27,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n4169,2012/09/27,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n4170,2012/09/28,I did weight lifting on 2012/09/28.,I did weight lifting on 2012/09/28.\n4171,2012/09/28,\"I had eggs, sausages, and bread for breakfast with Eva, Nevaeh, Piper, Avery, Rylee, Nora, Kinsley, Claire\",\"I had eggs, sausages, and bread for breakfast with Eva, Nevaeh, Piper, Avery, Rylee, Nora, Kinsley, Claire\"\n4172,2012/09/28,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n4173,2012/09/28,I prepare indian food for dinner.,I prepare indian food for dinner.\n4174,2012/09/28,I talked to Layla for 27 minutes in the late afternoon.,I talked to Layla for 27 minutes in the late afternoon.\n4175,2012/09/28,I spent 6 minutes on social media today.,I spent 6 minutes on social media today.\n4176,2012/09/29,\"I bought some mangos, pears, pineapples, apricots, tea, orange juice, soda, apple juice, paper towel from the grocery store. I saw Lydia, Piper, Kinsley, Avery at the grocery store.\",\"I bought some mangos, pears, pineapples, apricots, tea, orange juice, soda, apple juice, paper towel from the grocery store. I saw Lydia, Piper, Kinsley, Avery at the grocery store.\"\n4177,2012/09/29,I did biking on 2012/09/29.,I did biking on 2012/09/29.\n4178,2012/09/29,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n4179,2012/09/29,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n4180,2012/09/29,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n4181,2012/09/29,I talked to Layla for 29 minutes during lunch hours.,I talked to Layla for 29 minutes during lunch hours.\n4182,2012/09/29,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n4183,2012/09/29,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n4184,2012/09/30,I did running on 2012/09/30.,I did running on 2012/09/30.\n4185,2012/09/30,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n4186,2012/09/30,\"I had indian food for lunch with Emily, Kayden, Carter, Andrew\",\"I had indian food for lunch with Emily, Kayden, Carter, Andrew\"\n4187,2012/09/30,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n4188,2012/10/01,\"I had indian food for lunch with Andrew, Carter\",\"I had indian food for lunch with Andrew, Carter\"\n4189,2012/10/01,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n4190,2012/10/02,\"I had a burger for lunch with Claire, Layla, Piper, Avery\",\"I had a burger for lunch with Claire, Layla, Piper, Avery\"\n4191,2012/10/02,I talked to Rylee for 53 minutes in the early afternoon.,I talked to Rylee for 53 minutes in the early afternoon.\n4192,2012/10/03,\"I went grocery shopping. I bought some peaches, nectarines, raspberries, mineral water, and conditioner, toothpaste, mouth wash, shampoo\",\"I went grocery shopping. I bought some peaches, nectarines, raspberries, mineral water, and conditioner, toothpaste, mouth wash, shampoo\"\n4193,2012/10/03,\"I talked to Piper, Avery for 37 minutes during lunch hours.\",\"I talked to Piper, Avery for 37 minutes during lunch hours.\"\n4194,2012/10/03,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n4195,2012/10/04,I went on a date with Jacob on 2012/10/04 at a restaurant,I went on a date with Jacob on 2012/10/04 at a restaurant\n4196,2012/10/04,\"I spent 39 talking to Rylee, Layla on various topics during lunch hours.\",\"I spent 39 talking to Rylee, Layla on various topics during lunch hours.\"\n4197,2012/10/04,\"I talked to Layla, Nora, Hazel, Kinsley for 9 minutes in the late afternoon.\",\"I talked to Layla, Nora, Hazel, Kinsley for 9 minutes in the late afternoon.\"\n4198,2012/10/04,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n4199,2012/10/04,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n4200,2012/10/05,\"I had breakfast with Rylee, Nora. I ate oatmeal.\",\"I had breakfast with Rylee, Nora. I ate oatmeal.\"\n4201,2012/10/05,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n4202,2012/10/06,I did HIIT on 2012/10/06.,I did HIIT on 2012/10/06.\n4203,2012/10/06,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n4204,2012/10/06,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n4205,2012/10/06,\"I spent 34 talking to Piper, Nora, Nevaeh on various topics in the early afternoon.\",\"I spent 34 talking to Piper, Nora, Nevaeh on various topics in the early afternoon.\"\n4206,2012/10/06,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n4207,2012/10/06,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n4208,2012/10/07,I did HIIT on 2012/10/07.,I did HIIT on 2012/10/07.\n4209,2012/10/07,\"I talked to Kinsley, Claire, Hazel for 44 minutes in the early afternoon.\",\"I talked to Kinsley, Claire, Hazel for 44 minutes in the early afternoon.\"\n4210,2012/10/07,\"I spent 8 talking to Rylee, Olivia on various topics in the late afternoon.\",\"I spent 8 talking to Rylee, Olivia on various topics in the late afternoon.\"\n4211,2012/10/07,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n4212,2012/10/07,I watched news for 15 minutes on TV today.,I watched news for 15 minutes on TV today.\n4213,2012/10/08,\"I had cereals for breakfast with Avery, Benjamin\",\"I had cereals for breakfast with Avery, Benjamin\"\n4214,2012/10/08,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n4215,2012/10/08,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n4216,2012/10/08,\"I spent 9 talking to Eva, Olivia, Hazel on various topics in the morning.\",\"I spent 9 talking to Eva, Olivia, Hazel on various topics in the morning.\"\n4217,2012/10/08,\"I spent 8 talking to Nora, Kinsley, Avery, Claire on various topics in the early evening.\",\"I spent 8 talking to Nora, Kinsley, Avery, Claire on various topics in the early evening.\"\n4218,2012/10/08,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n4219,2012/10/09,\"I went grocery shopping with Piper, Nora. I bought some raspberries, apples, orange juice, chocolate milk, apple juice, pineapple juice, and shampoo\",\"I went grocery shopping with Piper, Nora. I bought some raspberries, apples, orange juice, chocolate milk, apple juice, pineapple juice, and shampoo\"\n4220,2012/10/09,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n4221,2012/10/09,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n4222,2012/10/10,I did biking on 2012/10/10.,I did biking on 2012/10/10.\n4223,2012/10/10,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n4224,2012/10/10,\"I had pasta for lunch with Kayden, Carter\",\"I had pasta for lunch with Kayden, Carter\"\n4225,2012/10/10,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n4226,2012/10/10,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n4227,2012/10/10,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n4228,2012/10/11,\"I went grocery shopping. I bought some apricots, raspberries, oranges, milk, soda, and paper towel\",\"I went grocery shopping. I bought some apricots, raspberries, oranges, milk, soda, and paper towel\"\n4229,2012/10/11,I prepare steak for lunch.,I prepare steak for lunch.\n4230,2012/10/11,\"I had sushi for dinner with Claire, Nevaeh, Piper, Eva\",\"I had sushi for dinner with Claire, Nevaeh, Piper, Eva\"\n4231,2012/10/11,\"I spent 50 talking to Hazel, Claire, Piper, Olivia on various topics in the early evening.\",\"I spent 50 talking to Hazel, Claire, Piper, Olivia on various topics in the early evening.\"\n4232,2012/10/11,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n4233,2012/10/12,\"I had indian food for dinner with Benjamin, Jackson, Willow\",\"I had indian food for dinner with Benjamin, Jackson, Willow\"\n4234,2012/10/12,\"I talked to Claire, Layla, Olivia, Lydia for 19 minutes during lunch hours.\",\"I talked to Claire, Layla, Olivia, Lydia for 19 minutes during lunch hours.\"\n4235,2012/10/13,I did hiking on 2012/10/13.,I did hiking on 2012/10/13.\n4236,2012/10/13,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n4237,2012/10/13,\"I spent 31 talking to Piper, Piper on various topics in the morning.\",\"I spent 31 talking to Piper, Piper on various topics in the morning.\"\n4238,2012/10/13,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n4239,2012/10/14,I did biking on 2012/10/14.,I did biking on 2012/10/14.\n4240,2012/10/14,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n4241,2012/10/14,I ate sandwich for lunch.,I ate sandwich for lunch.\n4242,2012/10/14,I prepare tacos for dinner.,I prepare tacos for dinner.\n4243,2012/10/15,\"I went grocery shopping with Carter, Andrew, Emily. I bought some pineapples, apples, cherres, blueberries, milk, mineral water, pineapple juice, coffee, and mouth wash, facial wash\",\"I went grocery shopping with Carter, Andrew, Emily. I bought some pineapples, apples, cherres, blueberries, milk, mineral water, pineapple juice, coffee, and mouth wash, facial wash\"\n4244,2012/10/15,I did biking on 2012/10/15.,I did biking on 2012/10/15.\n4245,2012/10/15,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n4246,2012/10/15,\"I talked to Eva, Avery, Hazel for 42 minutes in the early afternoon.\",\"I talked to Eva, Avery, Hazel for 42 minutes in the early afternoon.\"\n4247,2012/10/15,I talked to Olivia for 20 minutes during lunch hours.,I talked to Olivia for 20 minutes during lunch hours.\n4248,2012/10/15,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n4249,2012/10/15,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n4250,2012/10/16,I took my parents for their for an annual dental cleaning and checkup on 2012/10/16 at the private clinic.,I took my parents for their for an annual dental cleaning and checkup on 2012/10/16 at the private clinic.\n4251,2012/10/16,I did hiking on 2012/10/16.,I did hiking on 2012/10/16.\n4252,2012/10/16,\"I had peanut-butter-jam for breakfast with Olivia, Piper, Avery, Rylee, Layla, Nevaeh\",\"I had peanut-butter-jam for breakfast with Olivia, Piper, Avery, Rylee, Layla, Nevaeh\"\n4253,2012/10/16,I prepare sushi for dinner.,I prepare sushi for dinner.\n4254,2012/10/16,\"I spent 33 talking to Lydia, Olivia, Piper, Nora on various topics in the morning.\",\"I spent 33 talking to Lydia, Olivia, Piper, Nora on various topics in the morning.\"\n4255,2012/10/16,\"I talked to Nevaeh, Piper, Nora, Olivia for 29 minutes during lunch hours.\",\"I talked to Nevaeh, Piper, Nora, Olivia for 29 minutes during lunch hours.\"\n4256,2012/10/17,I did swimming on 2012/10/17.,I did swimming on 2012/10/17.\n4257,2012/10/17,I prepare steak for lunch.,I prepare steak for lunch.\n4258,2012/10/17,\"I talked to Nora, Hazel, Lydia, Piper for 32 minutes in the morning.\",\"I talked to Nora, Hazel, Lydia, Piper for 32 minutes in the morning.\"\n4259,2012/10/17,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n4260,2012/10/18,\"I had breakfast with Hazel, Olivia, Piper, Rylee, Eva. I ate cereals.\",\"I had breakfast with Hazel, Olivia, Piper, Rylee, Eva. I ate cereals.\"\n4261,2012/10/18,\"I had sandwich for dinner with Rylee, Piper, Kinsley\",\"I had sandwich for dinner with Rylee, Piper, Kinsley\"\n4262,2012/10/18,\"I talked to Rylee, Olivia, Nevaeh for 44 minutes in the morning.\",\"I talked to Rylee, Olivia, Nevaeh for 44 minutes in the morning.\"\n4263,2012/10/18,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n4264,2012/10/19,\"I bought some nectarines, clementines, pears, tea, sports drinks, paper towel, toothpaste, facial wash, shampoo from the grocery store. I saw Lydia, Piper, Eva, Piper at the grocery store.\",\"I bought some nectarines, clementines, pears, tea, sports drinks, paper towel, toothpaste, facial wash, shampoo from the grocery store. I saw Lydia, Piper, Eva, Piper at the grocery store.\"\n4265,2012/10/19,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n4266,2012/10/19,\"I spent 24 talking to Eva, Olivia, Lydia on various topics during lunch hours.\",\"I spent 24 talking to Eva, Olivia, Lydia on various topics during lunch hours.\"\n4267,2012/10/19,\"I spent 40 talking to Claire, Nevaeh, Piper on various topics in the late afternoon.\",\"I spent 40 talking to Claire, Nevaeh, Piper on various topics in the late afternoon.\"\n4268,2012/10/19,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n4269,2012/10/19,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n4270,2012/10/20,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n4271,2012/10/20,\"I had a burger for dinner with Nora, Claire, Piper, Layla\",\"I had a burger for dinner with Nora, Claire, Piper, Layla\"\n4272,2012/10/20,I spent 17 talking to Hazel on various topics in the early afternoon.,I spent 17 talking to Hazel on various topics in the early afternoon.\n4273,2012/10/20,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n4274,2012/10/21,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n4275,2012/10/22,\"I went grocery shopping. I bought some raspberries, apple juice, tea, soda, mineral water, and toothpaste, toilet paper\",\"I went grocery shopping. I bought some raspberries, apple juice, tea, soda, mineral water, and toothpaste, toilet paper\"\n4276,2012/10/22,I did swimming on 2012/10/22.,I did swimming on 2012/10/22.\n4277,2012/10/22,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n4278,2012/10/22,I had lunch with Emily. I ate a burger.,I had lunch with Emily. I ate a burger.\n4279,2012/10/22,\"I spent 39 talking to Eva, Hazel, Piper on various topics in the early afternoon.\",\"I spent 39 talking to Eva, Hazel, Piper on various topics in the early afternoon.\"\n4280,2012/10/22,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n4281,2012/10/23,\"I had breakfast with Nevaeh, Avery, Hazel. I ate pancakes.\",\"I had breakfast with Nevaeh, Avery, Hazel. I ate pancakes.\"\n4282,2012/10/23,\"I had lunch with Nora, Lydia, Piper, Rylee, Avery, Nevaeh, Claire, Layla, Piper. I ate pasta.\",\"I had lunch with Nora, Lydia, Piper, Rylee, Avery, Nevaeh, Claire, Layla, Piper. I ate pasta.\"\n4283,2012/10/23,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n4284,2012/10/23,I talked to Lydia for 13 minutes in the early afternoon.,I talked to Lydia for 13 minutes in the early afternoon.\n4285,2012/10/23,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n4286,2012/10/23,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n4287,2012/10/24,I took my parents for their for an annual physical checkup on 2012/10/24 at the hospital.,I took my parents for their for an annual physical checkup on 2012/10/24 at the hospital.\n4288,2012/10/24,I did HIIT on 2012/10/24.,I did HIIT on 2012/10/24.\n4289,2012/10/24,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n4290,2012/10/24,I prepare pasta for dinner.,I prepare pasta for dinner.\n4291,2012/10/24,\"I talked to Claire, Olivia, Layla, Piper for 12 minutes in the late afternoon.\",\"I talked to Claire, Olivia, Layla, Piper for 12 minutes in the late afternoon.\"\n4292,2012/10/24,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n4293,2012/10/24,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n4294,2012/10/25,\"I spent 39 talking to Lydia, Avery on various topics late in the evening.\",\"I spent 39 talking to Lydia, Avery on various topics late in the evening.\"\n4295,2012/10/25,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n4296,2012/10/26,\"I bought some blueberries, nectarines, mango juice, shaving cream, conditioner, toilet paper online.\",\"I bought some blueberries, nectarines, mango juice, shaving cream, conditioner, toilet paper online.\"\n4297,2012/10/26,\"I had dinner with Andrew, Carter, Emily. I ate chinese food.\",\"I had dinner with Andrew, Carter, Emily. I ate chinese food.\"\n4298,2012/10/26,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n4299,2012/10/26,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n4300,2012/10/27,I did running on 2012/10/27.,I did running on 2012/10/27.\n4301,2012/10/27,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n4302,2012/10/27,\"I talked to Nora, Piper for 11 minutes in the morning.\",\"I talked to Nora, Piper for 11 minutes in the morning.\"\n4303,2012/10/27,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n4304,2012/10/27,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n4305,2012/10/28,\"I had lunch with Emily, Andrew, Carter. I ate sushi.\",\"I had lunch with Emily, Andrew, Carter. I ate sushi.\"\n4306,2012/10/28,I talked to Eva for 38 minutes in the early afternoon.,I talked to Eva for 38 minutes in the early afternoon.\n4307,2012/10/29,I did swimming on 2012/10/29.,I did swimming on 2012/10/29.\n4308,2012/10/29,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n4309,2012/10/29,I prepare tacos for lunch.,I prepare tacos for lunch.\n4310,2012/10/29,\"I talked to Hazel, Claire, Eva, Lydia for 7 minutes in the morning.\",\"I talked to Hazel, Claire, Eva, Lydia for 7 minutes in the morning.\"\n4311,2012/10/29,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n4312,2012/10/29,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n4313,2012/10/30,I did biking on 2012/10/30.,I did biking on 2012/10/30.\n4314,2012/10/30,\"I talked to Claire, Eva, Layla, Kinsley for 30 minutes in the early evening.\",\"I talked to Claire, Eva, Layla, Kinsley for 30 minutes in the early evening.\"\n4315,2012/10/30,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n4316,2012/10/31,I prepare pasta for lunch.,I prepare pasta for lunch.\n4317,2012/10/31,\"I had fish and chips for dinner with Andrew, Kayden, Emily\",\"I had fish and chips for dinner with Andrew, Kayden, Emily\"\n4318,2012/10/31,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n4319,2012/10/31,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n4320,2012/11/01,I did hiking on 2012/11/01.,I did hiking on 2012/11/01.\n4321,2012/11/01,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n4322,2012/11/01,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n4323,2012/11/01,\"I talked to Layla, Avery for 27 minutes in the early evening.\",\"I talked to Layla, Avery for 27 minutes in the early evening.\"\n4324,2012/11/02,I did biking on 2012/11/02.,I did biking on 2012/11/02.\n4325,2012/11/02,I prepare tacos for lunch.,I prepare tacos for lunch.\n4326,2012/11/02,I prepare pasta for dinner.,I prepare pasta for dinner.\n4327,2012/11/02,\"I talked to Eva, Olivia, Layla, Avery for 33 minutes in the morning.\",\"I talked to Eva, Olivia, Layla, Avery for 33 minutes in the morning.\"\n4328,2012/11/03,I did weight lifting on 2012/11/03.,I did weight lifting on 2012/11/03.\n4329,2012/11/03,\"I had peanut-butter-jam for breakfast with Lydia, Nora\",\"I had peanut-butter-jam for breakfast with Lydia, Nora\"\n4330,2012/11/03,I had pasta for dinner with Carter,I had pasta for dinner with Carter\n4331,2012/11/04,\"I went grocery shopping. I bought some mandarins, raspberries, mangos, chocolate milk, sports drinks, and shaving cream, mouth wash\",\"I went grocery shopping. I bought some mandarins, raspberries, mangos, chocolate milk, sports drinks, and shaving cream, mouth wash\"\n4332,2012/11/04,I did HIIT on 2012/11/04.,I did HIIT on 2012/11/04.\n4333,2012/11/04,\"I had dinner with Willow, Avery, Jackson. I ate fish and chips.\",\"I had dinner with Willow, Avery, Jackson. I ate fish and chips.\"\n4334,2012/11/04,\"I talked to Rylee, Nora, Layla for 45 minutes in the late afternoon.\",\"I talked to Rylee, Nora, Layla for 45 minutes in the late afternoon.\"\n4335,2012/11/04,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n4336,2012/11/05,\"I had breakfast with Emily, Kayden, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Kayden, Andrew. I ate eggs, sausages, and bread.\"\n4337,2012/11/05,\"I had lunch with Emily, Carter, Kayden, Andrew. I ate indian food.\",\"I had lunch with Emily, Carter, Kayden, Andrew. I ate indian food.\"\n4338,2012/11/05,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n4339,2012/11/05,I talked to Kinsley for 40 minutes late in the evening.,I talked to Kinsley for 40 minutes late in the evening.\n4340,2012/11/05,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n4341,2012/11/05,I watched a documentary for 36 minutes on TV today.,I watched a documentary for 36 minutes on TV today.\n4342,2012/11/06,I went on a date with Charles on 2012/11/06 at a boba shop,I went on a date with Charles on 2012/11/06 at a boba shop\n4343,2012/11/06,I did HIIT on 2012/11/06.,I did HIIT on 2012/11/06.\n4344,2012/11/06,\"I had breakfast with Avery, Eva, Rylee, Lydia, Nevaeh, Claire. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Eva, Rylee, Lydia, Nevaeh, Claire. I ate eggs, sausages, and bread.\"\n4345,2012/11/06,I ate indian food for lunch.,I ate indian food for lunch.\n4346,2012/11/06,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n4347,2012/11/06,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n4348,2012/11/06,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n4349,2012/11/07,I went on a date with Oliver on 2012/11/07 at a park,I went on a date with Oliver on 2012/11/07 at a park\n4350,2012/11/07,\"I bought some apricots, pineapples, peaches, raspberries, guava juice, sports drinks, soda, pineapple juice, toothpaste, paper towel from the grocery store. I saw Andrew, Carter, Kayden at the grocery store.\",\"I bought some apricots, pineapples, peaches, raspberries, guava juice, sports drinks, soda, pineapple juice, toothpaste, paper towel from the grocery store. I saw Andrew, Carter, Kayden at the grocery store.\"\n4351,2012/11/07,I ate sushi for dinner.,I ate sushi for dinner.\n4352,2012/11/07,\"I spent 15 talking to Piper, Nora on various topics in the morning.\",\"I spent 15 talking to Piper, Nora on various topics in the morning.\"\n4353,2012/11/07,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n4354,2012/11/08,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n4355,2012/11/08,I ate sushi for dinner.,I ate sushi for dinner.\n4356,2012/11/08,\"I talked to Nora, Eva, Piper, Kinsley for 43 minutes during lunch hours.\",\"I talked to Nora, Eva, Piper, Kinsley for 43 minutes during lunch hours.\"\n4357,2012/11/08,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n4358,2012/11/09,I did hiking on 2012/11/09.,I did hiking on 2012/11/09.\n4359,2012/11/09,I prepare a burger for lunch.,I prepare a burger for lunch.\n4360,2012/11/09,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n4361,2012/11/09,I spent 55 talking to Layla on various topics in the early evening.,I spent 55 talking to Layla on various topics in the early evening.\n4362,2012/11/09,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n4363,2012/11/10,I spent some time gardening on 2012/11/10.,I spent some time gardening on 2012/11/10.\n4364,2012/11/10,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n4365,2012/11/10,\"I had lunch with Avery, Layla. I ate sushi.\",\"I had lunch with Avery, Layla. I ate sushi.\"\n4366,2012/11/10,I spent 33 talking to Lydia on various topics in the early afternoon.,I spent 33 talking to Lydia on various topics in the early afternoon.\n4367,2012/11/11,\"I had lunch with Piper, Olivia, Lydia, Eva. I ate chinese food.\",\"I had lunch with Piper, Olivia, Lydia, Eva. I ate chinese food.\"\n4368,2012/11/11,I talked to Piper for 27 minutes in the morning.,I talked to Piper for 27 minutes in the morning.\n4369,2012/11/11,\"I spent 55 talking to Lydia, Nevaeh, Eva on various topics in the late afternoon.\",\"I spent 55 talking to Lydia, Nevaeh, Eva on various topics in the late afternoon.\"\n4370,2012/11/11,I spent 55 minutes watching a documentary on TV today.,I spent 55 minutes watching a documentary on TV today.\n4371,2012/11/12,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n4372,2012/11/12,\"I had lunch with Nevaeh, Nora, Piper, Layla, Claire, Hazel, Rylee, Lydia, Olivia, Piper, Avery, Eva, Kinsley. I ate sandwich.\",\"I had lunch with Nevaeh, Nora, Piper, Layla, Claire, Hazel, Rylee, Lydia, Olivia, Piper, Avery, Eva, Kinsley. I ate sandwich.\"\n4373,2012/11/12,\"I had dinner with Jackson, Willow, Benjamin, Avery. I ate indian food.\",\"I had dinner with Jackson, Willow, Benjamin, Avery. I ate indian food.\"\n4374,2012/11/12,I spent 49 talking to Claire on various topics in the late afternoon.,I spent 49 talking to Claire on various topics in the late afternoon.\n4375,2012/11/12,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n4376,2012/11/12,I spent 6 minutes watching a movie on TV today.,I spent 6 minutes watching a movie on TV today.\n4377,2012/11/13,\"On 2012/11/13, I took Aurora on a date to a restaurant\",\"On 2012/11/13, I took Aurora on a date to a restaurant\"\n4378,2012/11/13,\"I bought some raspberries, sports drinks, chocolate milk, toothpaste, mouthwash, mouth wash, shampoo from the grocery store. I saw Rylee, Claire, Piper, Nevaeh, Hazel, Lydia, Avery, Eva, Piper at the grocery store.\",\"I bought some raspberries, sports drinks, chocolate milk, toothpaste, mouthwash, mouth wash, shampoo from the grocery store. I saw Rylee, Claire, Piper, Nevaeh, Hazel, Lydia, Avery, Eva, Piper at the grocery store.\"\n4379,2012/11/13,\"I had breakfast with Kayden, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Carter. I ate eggs, sausages, and bread.\"\n4380,2012/11/13,\"I talked to Piper, Avery, Nora for 55 minutes in the morning.\",\"I talked to Piper, Avery, Nora for 55 minutes in the morning.\"\n4381,2012/11/13,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n4382,2012/11/13,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n4383,2012/11/14,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n4384,2012/11/14,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n4385,2012/11/15,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n4386,2012/11/15,I prepare indian food for lunch.,I prepare indian food for lunch.\n4387,2012/11/15,\"I spent 11 talking to Layla, Nevaeh, Hazel, Avery on various topics during lunch hours.\",\"I spent 11 talking to Layla, Nevaeh, Hazel, Avery on various topics during lunch hours.\"\n4388,2012/11/16,I did running on 2012/11/16.,I did running on 2012/11/16.\n4389,2012/11/16,\"I had oatmeal for breakfast with Piper, Claire\",\"I had oatmeal for breakfast with Piper, Claire\"\n4390,2012/11/17,I ate a burger for lunch.,I ate a burger for lunch.\n4391,2012/11/17,\"I spent 40 talking to Avery, Layla, Piper, Hazel on various topics in the early evening.\",\"I spent 40 talking to Avery, Layla, Piper, Hazel on various topics in the early evening.\"\n4392,2012/11/17,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n4393,2012/11/18,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n4394,2012/11/18,I prepare steak for lunch.,I prepare steak for lunch.\n4395,2012/11/18,I prepare a burger for dinner.,I prepare a burger for dinner.\n4396,2012/11/18,\"I spent 51 talking to Piper, Nevaeh on various topics in the early evening.\",\"I spent 51 talking to Piper, Nevaeh on various topics in the early evening.\"\n4397,2012/11/19,I did biking on 2012/11/19.,I did biking on 2012/11/19.\n4398,2012/11/19,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n4399,2012/11/19,\"I talked to Claire, Lydia, Olivia for 37 minutes late in the evening.\",\"I talked to Claire, Lydia, Olivia for 37 minutes late in the evening.\"\n4400,2012/11/19,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n4401,2012/11/20,I did swimming on 2012/11/20.,I did swimming on 2012/11/20.\n4402,2012/11/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n4403,2012/11/20,I prepare a burger for dinner.,I prepare a burger for dinner.\n4404,2012/11/20,\"I talked to Rylee, Piper for 11 minutes during lunch hours.\",\"I talked to Rylee, Piper for 11 minutes during lunch hours.\"\n4405,2012/11/20,I spent 39 minutes watching a tv series on TV today.,I spent 39 minutes watching a tv series on TV today.\n4406,2012/11/21,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n4407,2012/11/21,I had lunch with Andrew. I ate tacos.,I had lunch with Andrew. I ate tacos.\n4408,2012/11/21,I prepare steak for dinner.,I prepare steak for dinner.\n4409,2012/11/21,\"I talked to Piper, Kinsley, Piper, Hazel for 12 minutes in the early evening.\",\"I talked to Piper, Kinsley, Piper, Hazel for 12 minutes in the early evening.\"\n4410,2012/11/21,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n4411,2012/11/22,\"I bought some apples, strawberries, pineapples, apple juice, chocolate milk, shampoo, mouth wash, facial wash, body lotion from the grocery store. I saw Carter, Emily, Kayden at the grocery store.\",\"I bought some apples, strawberries, pineapples, apple juice, chocolate milk, shampoo, mouth wash, facial wash, body lotion from the grocery store. I saw Carter, Emily, Kayden at the grocery store.\"\n4412,2012/11/22,I did HIIT on 2012/11/22.,I did HIIT on 2012/11/22.\n4413,2012/11/22,\"I had tacos for lunch with Kayden, Carter, Emily\",\"I had tacos for lunch with Kayden, Carter, Emily\"\n4414,2012/11/22,I talked to Hazel for 42 minutes in the early evening.,I talked to Hazel for 42 minutes in the early evening.\n4415,2012/11/22,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n4416,2012/11/22,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n4417,2012/11/23,\"I talked to Piper, Olivia, Hazel, Eva for 50 minutes in the late afternoon.\",\"I talked to Piper, Olivia, Hazel, Eva for 50 minutes in the late afternoon.\"\n4418,2012/11/23,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n4419,2012/11/23,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n4420,2012/11/24,I went on a date with Lily on 2012/11/24 at a park,I went on a date with Lily on 2012/11/24 at a park\n4421,2012/11/24,\"I had breakfast with Kayden, Andrew. I ate toast and cheese.\",\"I had breakfast with Kayden, Andrew. I ate toast and cheese.\"\n4422,2012/11/24,\"I had fish and chips for lunch with Benjamin, Willow\",\"I had fish and chips for lunch with Benjamin, Willow\"\n4423,2012/11/24,\"I spent 54 talking to Kinsley, Rylee, Layla on various topics in the early afternoon.\",\"I spent 54 talking to Kinsley, Rylee, Layla on various topics in the early afternoon.\"\n4424,2012/11/25,\"I bought some clementines, blackberries, apples, blueberries, mineral water, guava juice, mouth wash, facial wash from the grocery store. I saw Jackson, Avery, Willow at the grocery store.\",\"I bought some clementines, blackberries, apples, blueberries, mineral water, guava juice, mouth wash, facial wash from the grocery store. I saw Jackson, Avery, Willow at the grocery store.\"\n4425,2012/11/25,I prepare a burger for lunch.,I prepare a burger for lunch.\n4426,2012/11/25,I talked to Olivia for 40 minutes in the morning.,I talked to Olivia for 40 minutes in the morning.\n4427,2012/11/25,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n4428,2012/11/25,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n4429,2012/11/26,I did swimming on 2012/11/26.,I did swimming on 2012/11/26.\n4430,2012/11/26,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n4431,2012/11/26,\"I had sushi for lunch with Andrew, Emily\",\"I had sushi for lunch with Andrew, Emily\"\n4432,2012/11/26,\"I spent 38 talking to Hazel, Olivia, Layla on various topics in the morning.\",\"I spent 38 talking to Hazel, Olivia, Layla on various topics in the morning.\"\n4433,2012/11/27,I spent some time working out on 2012/11/27.,I spent some time working out on 2012/11/27.\n4434,2012/11/27,I did running on 2012/11/27.,I did running on 2012/11/27.\n4435,2012/11/27,I prepare sushi for dinner.,I prepare sushi for dinner.\n4436,2012/11/27,\"I talked to Kinsley, Eva, Avery, Rylee for 52 minutes in the early afternoon.\",\"I talked to Kinsley, Eva, Avery, Rylee for 52 minutes in the early afternoon.\"\n4437,2012/11/27,I talked to Layla for 42 minutes during lunch hours.,I talked to Layla for 42 minutes during lunch hours.\n4438,2012/11/27,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n4439,2012/11/27,I spent 43 minutes watching news on TV today.,I spent 43 minutes watching news on TV today.\n4440,2012/11/28,I spent some time yoga on 2012/11/28.,I spent some time yoga on 2012/11/28.\n4441,2012/11/28,I did weight lifting on 2012/11/28.,I did weight lifting on 2012/11/28.\n4442,2012/11/28,\"I had breakfast with Carter, Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\"\n4443,2012/11/28,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n4444,2012/11/28,I talked to Nevaeh for 21 minutes in the morning.,I talked to Nevaeh for 21 minutes in the morning.\n4445,2012/11/28,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n4446,2012/11/28,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n4447,2012/11/29,I did hiking on 2012/11/29.,I did hiking on 2012/11/29.\n4448,2012/11/29,\"I had toast and cheese for breakfast with Carter, Emily\",\"I had toast and cheese for breakfast with Carter, Emily\"\n4449,2012/11/29,I ate indian food for dinner.,I ate indian food for dinner.\n4450,2012/11/29,\"I spent 25 talking to Olivia, Eva on various topics in the morning.\",\"I spent 25 talking to Olivia, Eva on various topics in the morning.\"\n4451,2012/11/30,\"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Emily, Kayden\",\"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Emily, Kayden\"\n4452,2012/11/30,\"I had sandwich for lunch with Kayden, Emily\",\"I had sandwich for lunch with Kayden, Emily\"\n4453,2012/11/30,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n4454,2012/12/01,\"I had breakfast with Hazel, Layla, Avery, Rylee, Claire, Eva, Piper, Lydia, Nora, Olivia, Kinsley, Nevaeh. I ate eggs, sausages, and bread.\",\"I had breakfast with Hazel, Layla, Avery, Rylee, Claire, Eva, Piper, Lydia, Nora, Olivia, Kinsley, Nevaeh. I ate eggs, sausages, and bread.\"\n4455,2012/12/01,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n4456,2012/12/02,I had pancakes for breakfast with Andrew,I had pancakes for breakfast with Andrew\n4457,2012/12/02,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n4458,2012/12/03,I went on a date with Leonardo on 2012/12/03 at a park,I went on a date with Leonardo on 2012/12/03 at a park\n4459,2012/12/03,\"I had peanut-butter-jam for breakfast with Emily, Carter, Kayden, Andrew\",\"I had peanut-butter-jam for breakfast with Emily, Carter, Kayden, Andrew\"\n4460,2012/12/03,I ate sushi for lunch.,I ate sushi for lunch.\n4461,2012/12/03,I ate a burger for dinner.,I ate a burger for dinner.\n4462,2012/12/03,\"I spent 39 talking to Nora, Claire on various topics in the late afternoon.\",\"I spent 39 talking to Nora, Claire on various topics in the late afternoon.\"\n4463,2012/12/03,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n4464,2012/12/04,I did running on 2012/12/04.,I did running on 2012/12/04.\n4465,2012/12/04,\"I spent 49 talking to Avery, Piper, Nevaeh on various topics in the early evening.\",\"I spent 49 talking to Avery, Piper, Nevaeh on various topics in the early evening.\"\n4466,2012/12/05,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n4467,2012/12/05,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n4468,2012/12/05,I prepare steak for dinner.,I prepare steak for dinner.\n4469,2012/12/05,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n4470,2012/12/05,I spent 39 minutes watching a movie on TV today.,I spent 39 minutes watching a movie on TV today.\n4471,2012/12/06,I did swimming on 2012/12/06.,I did swimming on 2012/12/06.\n4472,2012/12/06,I ate cereals for breakfast.,I ate cereals for breakfast.\n4473,2012/12/06,I ate indian food for lunch.,I ate indian food for lunch.\n4474,2012/12/06,\"I had chinese food for dinner with Emily, Kayden\",\"I had chinese food for dinner with Emily, Kayden\"\n4475,2012/12/06,\"I spent 46 talking to Nora, Eva on various topics in the morning.\",\"I spent 46 talking to Nora, Eva on various topics in the morning.\"\n4476,2012/12/06,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n4477,2012/12/07,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n4478,2012/12/08,I spent time meditation on 2012/12/08 with Andrew.,I spent time meditation on 2012/12/08 with Andrew.\n4479,2012/12/08,\"I bought some oranges, mangos, strawberries, mineral water, coffee, mango juice, conditioner, paper towel, toothpaste online.\",\"I bought some oranges, mangos, strawberries, mineral water, coffee, mango juice, conditioner, paper towel, toothpaste online.\"\n4480,2012/12/08,I did running on 2012/12/08.,I did running on 2012/12/08.\n4481,2012/12/08,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n4482,2012/12/08,I ate steak for lunch.,I ate steak for lunch.\n4483,2012/12/08,\"I had dinner with Carter, Emily, Kayden. I ate sushi.\",\"I had dinner with Carter, Emily, Kayden. I ate sushi.\"\n4484,2012/12/08,\"I talked to Olivia, Piper, Eva, Piper for 25 minutes in the late afternoon.\",\"I talked to Olivia, Piper, Eva, Piper for 25 minutes in the late afternoon.\"\n4485,2012/12/08,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n4486,2012/12/08,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n4487,2012/12/09,I prepare steak for dinner.,I prepare steak for dinner.\n4488,2012/12/09,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n4489,2012/12/10,\"I went grocery shopping. I bought some watermelons, milk, mango juice, soda, guava juice, and paper towel, toilet paper, shaving cream\",\"I went grocery shopping. I bought some watermelons, milk, mango juice, soda, guava juice, and paper towel, toilet paper, shaving cream\"\n4490,2012/12/10,\"I had sushi for lunch with Nevaeh, Layla, Olivia, Avery, Piper\",\"I had sushi for lunch with Nevaeh, Layla, Olivia, Avery, Piper\"\n4491,2012/12/10,\"I had dinner with Kayden, Carter, Emily. I ate tacos.\",\"I had dinner with Kayden, Carter, Emily. I ate tacos.\"\n4492,2012/12/10,\"I talked to Nevaeh, Olivia for 23 minutes during lunch hours.\",\"I talked to Nevaeh, Olivia for 23 minutes during lunch hours.\"\n4493,2012/12/10,\"I spent 49 talking to Eva, Nora, Avery on various topics late in the evening.\",\"I spent 49 talking to Eva, Nora, Avery on various topics late in the evening.\"\n4494,2012/12/10,I watched a documentary for 45 minutes on TV today.,I watched a documentary for 45 minutes on TV today.\n4495,2012/12/11,I did hiking on 2012/12/11.,I did hiking on 2012/12/11.\n4496,2012/12/11,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n4497,2012/12/11,I prepare tacos for dinner.,I prepare tacos for dinner.\n4498,2012/12/11,I talked to Piper for 34 minutes in the morning.,I talked to Piper for 34 minutes in the morning.\n4499,2012/12/12,\"I went grocery shopping. I bought some raspberries, cherres, mangos, tea, guava juice, apple juice, coffee, and toilet paper\",\"I went grocery shopping. I bought some raspberries, cherres, mangos, tea, guava juice, apple juice, coffee, and toilet paper\"\n4500,2012/12/12,\"I had breakfast with Piper, Eva, Layla, Nora, Olivia, Avery, Piper, Hazel, Lydia. I ate pancakes.\",\"I had breakfast with Piper, Eva, Layla, Nora, Olivia, Avery, Piper, Hazel, Lydia. I ate pancakes.\"\n4501,2012/12/12,I ate steak for lunch.,I ate steak for lunch.\n4502,2012/12/12,\"I had dinner with Kayden, Emily, Andrew. I ate fish and chips.\",\"I had dinner with Kayden, Emily, Andrew. I ate fish and chips.\"\n4503,2012/12/12,\"I talked to Hazel, Piper, Lydia, Claire for 45 minutes in the late afternoon.\",\"I talked to Hazel, Piper, Lydia, Claire for 45 minutes in the late afternoon.\"\n4504,2012/12/13,I really enjoyed learning a language on 2012/12/13,I really enjoyed learning a language on 2012/12/13\n4505,2012/12/13,I did HIIT on 2012/12/13.,I did HIIT on 2012/12/13.\n4506,2012/12/13,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n4507,2012/12/13,\"I had sandwich for lunch with Carter, Emily, Kayden\",\"I had sandwich for lunch with Carter, Emily, Kayden\"\n4508,2012/12/13,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n4509,2012/12/13,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n4510,2012/12/13,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n4511,2012/12/14,I did weight lifting on 2012/12/14.,I did weight lifting on 2012/12/14.\n4512,2012/12/14,I prepare indian food for lunch.,I prepare indian food for lunch.\n4513,2012/12/14,\"I had sushi for dinner with Willow, Jackson\",\"I had sushi for dinner with Willow, Jackson\"\n4514,2012/12/14,\"I spent 50 talking to Piper, Lydia on various topics in the morning.\",\"I spent 50 talking to Piper, Lydia on various topics in the morning.\"\n4515,2012/12/14,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n4516,2012/12/14,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n4517,2012/12/15,I did weight lifting on 2012/12/15.,I did weight lifting on 2012/12/15.\n4518,2012/12/15,\"I had fish and chips for lunch with Willow, Benjamin, Avery, Jackson\",\"I had fish and chips for lunch with Willow, Benjamin, Avery, Jackson\"\n4519,2012/12/16,I did biking on 2012/12/16.,I did biking on 2012/12/16.\n4520,2012/12/16,I ate a burger for dinner.,I ate a burger for dinner.\n4521,2012/12/16,\"I spent 15 talking to Piper, Avery on various topics in the late afternoon.\",\"I spent 15 talking to Piper, Avery on various topics in the late afternoon.\"\n4522,2012/12/17,\"I bought some cherres, apples, mineral water, tea, mouthwash, toothpaste, conditioner, paper towel from the grocery store. I saw Jackson, Benjamin, Avery, Willow at the grocery store.\",\"I bought some cherres, apples, mineral water, tea, mouthwash, toothpaste, conditioner, paper towel from the grocery store. I saw Jackson, Benjamin, Avery, Willow at the grocery store.\"\n4523,2012/12/17,I did weight lifting on 2012/12/17.,I did weight lifting on 2012/12/17.\n4524,2012/12/17,I ate indian food for dinner.,I ate indian food for dinner.\n4525,2012/12/17,\"I spent 8 talking to Layla, Lydia, Hazel on various topics in the early evening.\",\"I spent 8 talking to Layla, Lydia, Hazel on various topics in the early evening.\"\n4526,2012/12/17,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n4527,2012/12/18,I did swimming on 2012/12/18.,I did swimming on 2012/12/18.\n4528,2012/12/18,\"I had lunch with Andrew, Kayden. I ate tacos.\",\"I had lunch with Andrew, Kayden. I ate tacos.\"\n4529,2012/12/18,I ate pasta for dinner.,I ate pasta for dinner.\n4530,2012/12/18,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n4531,2012/12/18,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n4532,2012/12/19,\"On 2012/12/19, I took Quinn on a date to a restaurant\",\"On 2012/12/19, I took Quinn on a date to a restaurant\"\n4533,2012/12/19,I did running on 2012/12/19.,I did running on 2012/12/19.\n4534,2012/12/19,I spent 14 talking to Claire on various topics in the late afternoon.,I spent 14 talking to Claire on various topics in the late afternoon.\n4535,2012/12/19,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n4536,2012/12/20,I did swimming on 2012/12/20.,I did swimming on 2012/12/20.\n4537,2012/12/20,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n4538,2012/12/20,I spent 12 talking to Olivia on various topics during lunch hours.,I spent 12 talking to Olivia on various topics during lunch hours.\n4539,2012/12/20,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n4540,2012/12/20,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n4541,2012/12/21,\"I went grocery shopping with Willow, Jackson. I bought some pineapples, milk, guava juice, and toothpaste, shampoo, body lotion, mouthwash\",\"I went grocery shopping with Willow, Jackson. I bought some pineapples, milk, guava juice, and toothpaste, shampoo, body lotion, mouthwash\"\n4542,2012/12/21,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n4543,2012/12/21,I had dinner. I ate steak.,I had dinner. I ate steak.\n4544,2012/12/21,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n4545,2012/12/22,I did swimming on 2012/12/22.,I did swimming on 2012/12/22.\n4546,2012/12/22,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n4547,2012/12/22,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n4548,2012/12/22,\"I had dinner with Kinsley, Avery, Nora, Rylee, Piper, Layla, Nevaeh, Olivia, Lydia, Piper, Eva. I ate fish and chips.\",\"I had dinner with Kinsley, Avery, Nora, Rylee, Piper, Layla, Nevaeh, Olivia, Lydia, Piper, Eva. I ate fish and chips.\"\n4549,2012/12/22,\"I spent 12 talking to Avery, Layla, Claire on various topics late in the evening.\",\"I spent 12 talking to Avery, Layla, Claire on various topics late in the evening.\"\n4550,2012/12/22,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n4551,2012/12/23,I did running on 2012/12/23.,I did running on 2012/12/23.\n4552,2012/12/23,I had dinner with Andrew. I ate fish and chips.,I had dinner with Andrew. I ate fish and chips.\n4553,2012/12/23,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n4554,2012/12/23,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n4555,2012/12/24,I did biking on 2012/12/24.,I did biking on 2012/12/24.\n4556,2012/12/24,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n4557,2012/12/24,\"I had lunch with Carter, Kayden. I ate tacos.\",\"I had lunch with Carter, Kayden. I ate tacos.\"\n4558,2012/12/24,\"I had dinner with Andrew, Kayden, Carter, Emily. I ate steak.\",\"I had dinner with Andrew, Kayden, Carter, Emily. I ate steak.\"\n4559,2012/12/24,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n4560,2012/12/25,\"I had fish and chips for lunch with Claire, Layla, Nevaeh, Rylee, Olivia\",\"I had fish and chips for lunch with Claire, Layla, Nevaeh, Rylee, Olivia\"\n4561,2012/12/25,I prepare indian food for dinner.,I prepare indian food for dinner.\n4562,2012/12/25,\"I spent 20 talking to Piper, Hazel, Claire, Lydia on various topics in the late afternoon.\",\"I spent 20 talking to Piper, Hazel, Claire, Lydia on various topics in the late afternoon.\"\n4563,2012/12/26,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n4564,2012/12/26,I prepare steak for lunch.,I prepare steak for lunch.\n4565,2012/12/26,I ate sandwich for dinner.,I ate sandwich for dinner.\n4566,2012/12/26,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n4567,2012/12/27,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n4568,2012/12/27,\"I spent 10 talking to Rylee, Eva, Piper, Nora on various topics in the morning.\",\"I spent 10 talking to Rylee, Eva, Piper, Nora on various topics in the morning.\"\n4569,2012/12/27,\"I spent 29 talking to Lydia, Claire, Piper, Hazel on various topics late in the evening.\",\"I spent 29 talking to Lydia, Claire, Piper, Hazel on various topics late in the evening.\"\n4570,2012/12/27,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n4571,2012/12/28,I did swimming on 2012/12/28.,I did swimming on 2012/12/28.\n4572,2012/12/28,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n4573,2012/12/28,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n4574,2012/12/29,\"I had dinner with Carter, Andrew, Emily. I ate chinese food.\",\"I had dinner with Carter, Andrew, Emily. I ate chinese food.\"\n4575,2012/12/29,\"I talked to Olivia, Avery, Rylee for 44 minutes during lunch hours.\",\"I talked to Olivia, Avery, Rylee for 44 minutes during lunch hours.\"\n4576,2012/12/30,I did HIIT on 2012/12/30.,I did HIIT on 2012/12/30.\n4577,2012/12/30,I prepare a burger for dinner.,I prepare a burger for dinner.\n4578,2012/12/30,\"I talked to Nevaeh, Lydia, Claire, Piper for 47 minutes in the morning.\",\"I talked to Nevaeh, Lydia, Claire, Piper for 47 minutes in the morning.\"\n4579,2012/12/31,I did hiking on 2012/12/31.,I did hiking on 2012/12/31.\n4580,2012/12/31,\"I had toast and cheese for breakfast with Rylee, Hazel, Nora\",\"I had toast and cheese for breakfast with Rylee, Hazel, Nora\"\n4581,2012/12/31,I spent 30 minutes watching a movie on TV today.,I spent 30 minutes watching a movie on TV today.\n4582,2013/01/01,\"I bought some peaches, clementines, tea, milk, orange juice, toothpaste online.\",\"I bought some peaches, clementines, tea, milk, orange juice, toothpaste online.\"\n4583,2013/01/01,I did swimming on 2013/01/01.,I did swimming on 2013/01/01.\n4584,2013/01/01,I prepare steak for dinner.,I prepare steak for dinner.\n4585,2013/01/01,I talked to Claire for 6 minutes in the early evening.,I talked to Claire for 6 minutes in the early evening.\n4586,2013/01/01,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n4587,2013/01/02,I had lunch with Nora. I ate fish and chips.,I had lunch with Nora. I ate fish and chips.\n4588,2013/01/02,\"I had dinner with Emily, Carter. I ate pasta.\",\"I had dinner with Emily, Carter. I ate pasta.\"\n4589,2013/01/02,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n4590,2013/01/03,I did swimming on 2013/01/03.,I did swimming on 2013/01/03.\n4591,2013/01/03,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n4592,2013/01/03,I ate steak for lunch.,I ate steak for lunch.\n4593,2013/01/03,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n4594,2013/01/04,I ate chinese food for lunch.,I ate chinese food for lunch.\n4595,2013/01/04,I spent 28 talking to Layla on various topics in the morning.,I spent 28 talking to Layla on various topics in the morning.\n4596,2013/01/04,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n4597,2013/01/05,I did hiking on 2013/01/05.,I did hiking on 2013/01/05.\n4598,2013/01/05,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n4599,2013/01/06,I really enjoyed working out on 2013/01/06,I really enjoyed working out on 2013/01/06\n4600,2013/01/06,\"I went grocery shopping. I bought some blackberries, bananas, apricots, guava juice, coffee, and shaving cream, toothpaste, conditioner\",\"I went grocery shopping. I bought some blackberries, bananas, apricots, guava juice, coffee, and shaving cream, toothpaste, conditioner\"\n4601,2013/01/06,I did weight lifting on 2013/01/06.,I did weight lifting on 2013/01/06.\n4602,2013/01/06,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n4603,2013/01/06,I ate pasta for dinner.,I ate pasta for dinner.\n4604,2013/01/06,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n4605,2013/01/07,I did running on 2013/01/07.,I did running on 2013/01/07.\n4606,2013/01/07,I talked to Layla for 46 minutes late in the evening.,I talked to Layla for 46 minutes late in the evening.\n4607,2013/01/08,\"I spent time yoga on 2013/01/08 with Carter, Andrew, Emily.\",\"I spent time yoga on 2013/01/08 with Carter, Andrew, Emily.\"\n4608,2013/01/08,I did biking on 2013/01/08.,I did biking on 2013/01/08.\n4609,2013/01/08,I ate indian food for lunch.,I ate indian food for lunch.\n4610,2013/01/09,I did weight lifting on 2013/01/09.,I did weight lifting on 2013/01/09.\n4611,2013/01/09,\"I had cereals for breakfast with Emily, Andrew, Kayden\",\"I had cereals for breakfast with Emily, Andrew, Kayden\"\n4612,2013/01/09,\"I had dinner with Piper, Nevaeh, Claire, Piper, Lydia. I ate sandwich.\",\"I had dinner with Piper, Nevaeh, Claire, Piper, Lydia. I ate sandwich.\"\n4613,2013/01/09,\"I talked to Layla, Avery, Claire, Hazel for 52 minutes in the morning.\",\"I talked to Layla, Avery, Claire, Hazel for 52 minutes in the morning.\"\n4614,2013/01/09,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n4615,2013/01/10,I did hiking on 2013/01/10.,I did hiking on 2013/01/10.\n4616,2013/01/10,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n4617,2013/01/10,I ate indian food for dinner.,I ate indian food for dinner.\n4618,2013/01/10,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n4619,2013/01/11,\"I had lunch with Emily, Carter, Kayden, Andrew. I ate sushi.\",\"I had lunch with Emily, Carter, Kayden, Andrew. I ate sushi.\"\n4620,2013/01/11,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n4621,2013/01/11,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n4622,2013/01/12,\"I had breakfast with Andrew, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Emily. I ate eggs, sausages, and bread.\"\n4623,2013/01/12,\"I spent 27 talking to Piper, Nevaeh, Claire on various topics late in the evening.\",\"I spent 27 talking to Piper, Nevaeh, Claire on various topics late in the evening.\"\n4624,2013/01/12,I spent 29 talking to Avery on various topics in the late afternoon.,I spent 29 talking to Avery on various topics in the late afternoon.\n4625,2013/01/12,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n4626,2013/01/13,I really enjoyed learning a language on 2013/01/13,I really enjoyed learning a language on 2013/01/13\n4627,2013/01/13,I did HIIT on 2013/01/13.,I did HIIT on 2013/01/13.\n4628,2013/01/13,\"I had oatmeal for breakfast with Benjamin, Willow, Jackson, Avery\",\"I had oatmeal for breakfast with Benjamin, Willow, Jackson, Avery\"\n4629,2013/01/13,I ate pasta for lunch.,I ate pasta for lunch.\n4630,2013/01/13,I spent 28 talking to Avery on various topics late in the evening.,I spent 28 talking to Avery on various topics late in the evening.\n4631,2013/01/13,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n4632,2013/01/14,\"I had breakfast with Layla, Rylee, Piper. I ate cereals.\",\"I had breakfast with Layla, Rylee, Piper. I ate cereals.\"\n4633,2013/01/14,I ate indian food for lunch.,I ate indian food for lunch.\n4634,2013/01/14,\"I had dinner with Piper, Layla, Hazel, Piper, Claire, Olivia. I ate sushi.\",\"I had dinner with Piper, Layla, Hazel, Piper, Claire, Olivia. I ate sushi.\"\n4635,2013/01/14,\"I talked to Hazel, Avery for 39 minutes in the early afternoon.\",\"I talked to Hazel, Avery for 39 minutes in the early afternoon.\"\n4636,2013/01/14,\"I talked to Nevaeh, Piper, Avery for 19 minutes in the early afternoon.\",\"I talked to Nevaeh, Piper, Avery for 19 minutes in the early afternoon.\"\n4637,2013/01/14,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n4638,2013/01/15,I had breakfast with Willow. I ate oatmeal.,I had breakfast with Willow. I ate oatmeal.\n4639,2013/01/15,\"I had fish and chips for dinner with Kayden, Andrew, Emily, Carter\",\"I had fish and chips for dinner with Kayden, Andrew, Emily, Carter\"\n4640,2013/01/15,\"I talked to Lydia, Olivia for 30 minutes in the late afternoon.\",\"I talked to Lydia, Olivia for 30 minutes in the late afternoon.\"\n4641,2013/01/16,\"I talked to Claire, Rylee for 55 minutes in the early evening.\",\"I talked to Claire, Rylee for 55 minutes in the early evening.\"\n4642,2013/01/16,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n4643,2013/01/16,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n4644,2013/01/17,I did swimming on 2013/01/17.,I did swimming on 2013/01/17.\n4645,2013/01/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n4646,2013/01/17,\"I spent 8 talking to Claire, Piper, Eva, Hazel on various topics during lunch hours.\",\"I spent 8 talking to Claire, Piper, Eva, Hazel on various topics during lunch hours.\"\n4647,2013/01/17,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n4648,2013/01/17,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n4649,2013/01/18,I did running on 2013/01/18.,I did running on 2013/01/18.\n4650,2013/01/18,I prepare sushi for dinner.,I prepare sushi for dinner.\n4651,2013/01/18,\"I spent 54 talking to Piper, Hazel on various topics late in the evening.\",\"I spent 54 talking to Piper, Hazel on various topics late in the evening.\"\n4652,2013/01/19,\"I had breakfast with Kayden, Andrew, Carter. I ate toast and cheese.\",\"I had breakfast with Kayden, Andrew, Carter. I ate toast and cheese.\"\n4653,2013/01/19,\"I had pasta for lunch with Avery, Piper, Nevaeh, Olivia, Hazel, Rylee, Eva\",\"I had pasta for lunch with Avery, Piper, Nevaeh, Olivia, Hazel, Rylee, Eva\"\n4654,2013/01/19,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n4655,2013/01/19,\"I talked to Rylee, Avery, Piper for 19 minutes late in the evening.\",\"I talked to Rylee, Avery, Piper for 19 minutes late in the evening.\"\n4656,2013/01/19,\"I spent 43 talking to Eva, Olivia, Nora on various topics during lunch hours.\",\"I spent 43 talking to Eva, Olivia, Nora on various topics during lunch hours.\"\n4657,2013/01/20,\"On 2013/01/20 Carter, Andrew and I went to Bangkok, Thailand together for 7 days \",\"On 2013/01/20 Carter, Andrew and I went to Bangkok, Thailand together for 7 days \"\n4658,2013/01/20,\"I had sushi for lunch with Kinsley, Piper, Lydia, Layla, Hazel\",\"I had sushi for lunch with Kinsley, Piper, Lydia, Layla, Hazel\"\n4659,2013/01/20,I had steak for dinner with Avery,I had steak for dinner with Avery\n4660,2013/01/21,\"During my trip to Bangkok, Thailand, I visited Grand Palace on 2013/01 with Carter, Andrew.\",\"During my trip to Bangkok, Thailand, I visited Grand Palace on 2013/01 with Carter, Andrew.\"\n4661,2013/01/21,\"I ate Chinese food at Victory Monument with Carter, Andrew on  2013/01/21 when I was in Bangkok, Thailand.\",\"I ate Chinese food at Victory Monument with Carter, Andrew on  2013/01/21 when I was in Bangkok, Thailand.\"\n4662,2013/01/21,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n4663,2013/01/22,\"During my trip to Bangkok, Thailand, I visited Wat Arun on 2013/01 with Carter, Andrew.\",\"During my trip to Bangkok, Thailand, I visited Wat Arun on 2013/01 with Carter, Andrew.\"\n4664,2013/01/22,\"I ate Italian food at Victory Monument with Carter, Andrew on  2013/01/22 when I was in Bangkok, Thailand.\",\"I ate Italian food at Victory Monument with Carter, Andrew on  2013/01/22 when I was in Bangkok, Thailand.\"\n4665,2013/01/22,\"I had a burger for lunch with Rylee, Olivia, Kinsley, Piper\",\"I had a burger for lunch with Rylee, Olivia, Kinsley, Piper\"\n4666,2013/01/22,I ate sandwich for dinner.,I ate sandwich for dinner.\n4667,2013/01/22,\"I spent 27 talking to Piper, Nora, Olivia, Rylee on various topics in the early afternoon.\",\"I spent 27 talking to Piper, Nora, Olivia, Rylee on various topics in the early afternoon.\"\n4668,2013/01/23,\"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2013/01 with Carter, Andrew.\",\"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2013/01 with Carter, Andrew.\"\n4669,2013/01/23,\"I ate Japanese food at Ratchawat Market with Carter, Andrew on  2013/01/23 when I was in Bangkok, Thailand.\",\"I ate Japanese food at Ratchawat Market with Carter, Andrew on  2013/01/23 when I was in Bangkok, Thailand.\"\n4670,2013/01/23,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n4671,2013/01/23,I had fish and chips for lunch with Kayden,I had fish and chips for lunch with Kayden\n4672,2013/01/23,\"I spent 5 talking to Kinsley, Piper, Layla, Lydia on various topics late in the evening.\",\"I spent 5 talking to Kinsley, Piper, Layla, Lydia on various topics late in the evening.\"\n4673,2013/01/23,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n4674,2013/01/24,\"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2013/01 with Carter, Andrew.\",\"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2013/01 with Carter, Andrew.\"\n4675,2013/01/24,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n4676,2013/01/24,\"I talked to Kinsley, Avery for 13 minutes late in the evening.\",\"I talked to Kinsley, Avery for 13 minutes late in the evening.\"\n4677,2013/01/24,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n4678,2013/01/24,I watched a tv series for 54 minutes on TV today.,I watched a tv series for 54 minutes on TV today.\n4679,2013/01/25,\"During my trip to Bangkok, Thailand, I visited Wat Traimit on 2013/01 with Carter, Andrew.\",\"During my trip to Bangkok, Thailand, I visited Wat Traimit on 2013/01 with Carter, Andrew.\"\n4680,2013/01/25,\"I ate Indian food at Ratchawat Market with Carter, Andrew on  2013/01/25 when I was in Bangkok, Thailand.\",\"I ate Indian food at Ratchawat Market with Carter, Andrew on  2013/01/25 when I was in Bangkok, Thailand.\"\n4681,2013/01/25,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n4682,2013/01/25,\"I had sushi for lunch with Carter, Andrew, Emily\",\"I had sushi for lunch with Carter, Andrew, Emily\"\n4683,2013/01/26,\"I ate Indian food at Victory Monument with Carter, Andrew on  2013/01/26 when I was in Bangkok, Thailand.\",\"I ate Indian food at Victory Monument with Carter, Andrew on  2013/01/26 when I was in Bangkok, Thailand.\"\n4684,2013/01/26,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n4685,2013/01/26,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n4686,2013/01/26,\"I spent 44 talking to Avery, Nevaeh, Nora on various topics in the morning.\",\"I spent 44 talking to Avery, Nevaeh, Nora on various topics in the morning.\"\n4687,2013/01/26,\"I spent 6 talking to Kinsley, Nevaeh on various topics during lunch hours.\",\"I spent 6 talking to Kinsley, Nevaeh on various topics during lunch hours.\"\n4688,2013/01/26,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n4689,2013/01/27,\"I ate Chinese food at Ratchawat Market with Carter, Andrew on  2013/01/27 when I was in Bangkok, Thailand.\",\"I ate Chinese food at Ratchawat Market with Carter, Andrew on  2013/01/27 when I was in Bangkok, Thailand.\"\n4690,2013/01/27,I went on a date with Chris on 2013/01/27 at a restaurant,I went on a date with Chris on 2013/01/27 at a restaurant\n4691,2013/01/27,\"I had pancakes for breakfast with Willow, Benjamin, Avery, Jackson\",\"I had pancakes for breakfast with Willow, Benjamin, Avery, Jackson\"\n4692,2013/01/27,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n4693,2013/01/27,\"I spent 5 talking to Hazel, Claire on various topics in the late afternoon.\",\"I spent 5 talking to Hazel, Claire on various topics in the late afternoon.\"\n4694,2013/01/27,\"I talked to Hazel, Nora, Nevaeh, Kinsley for 17 minutes in the early afternoon.\",\"I talked to Hazel, Nora, Nevaeh, Kinsley for 17 minutes in the early afternoon.\"\n4695,2013/01/27,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n4696,2013/01/27,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n4697,2013/01/28,\"I had pancakes for breakfast with Claire, Rylee, Nora, Lydia, Eva, Hazel, Piper, Olivia, Kinsley, Piper, Avery\",\"I had pancakes for breakfast with Claire, Rylee, Nora, Lydia, Eva, Hazel, Piper, Olivia, Kinsley, Piper, Avery\"\n4698,2013/01/28,I had dinner with Emily. I ate tacos.,I had dinner with Emily. I ate tacos.\n4699,2013/01/28,\"I talked to Piper, Lydia, Layla, Kinsley for 5 minutes during lunch hours.\",\"I talked to Piper, Lydia, Layla, Kinsley for 5 minutes during lunch hours.\"\n4700,2013/01/28,\"I spent 9 talking to Layla, Eva, Nevaeh on various topics in the early evening.\",\"I spent 9 talking to Layla, Eva, Nevaeh on various topics in the early evening.\"\n4701,2013/01/28,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n4702,2013/01/29,I spent some time working out on 2013/01/29.,I spent some time working out on 2013/01/29.\n4703,2013/01/29,\"I had dinner with Kayden, Emily, Andrew, Carter. I ate steak.\",\"I had dinner with Kayden, Emily, Andrew, Carter. I ate steak.\"\n4704,2013/01/29,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n4705,2013/01/30,I did weight lifting on 2013/01/30.,I did weight lifting on 2013/01/30.\n4706,2013/01/30,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n4707,2013/01/30,I had lunch with Kayden. I ate pasta.,I had lunch with Kayden. I ate pasta.\n4708,2013/01/30,I spent 27 talking to Olivia on various topics in the early evening.,I spent 27 talking to Olivia on various topics in the early evening.\n4709,2013/01/31,I went on a date with Lillian on 2013/01/31 at a boba shop,I went on a date with Lillian on 2013/01/31 at a boba shop\n4710,2013/01/31,I did running on 2013/01/31.,I did running on 2013/01/31.\n4711,2013/01/31,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n4712,2013/01/31,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n4713,2013/01/31,\"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\",\"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\"\n4714,2013/01/31,\"I spent 48 talking to Rylee, Nora on various topics in the early afternoon.\",\"I spent 48 talking to Rylee, Nora on various topics in the early afternoon.\"\n4715,2013/01/31,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n4716,2013/01/31,I watched a documentary for 55 minutes on TV today.,I watched a documentary for 55 minutes on TV today.\n4717,2013/02/01,I did HIIT on 2013/02/01.,I did HIIT on 2013/02/01.\n4718,2013/02/02,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n4719,2013/02/03,\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate cereals.\",\"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate cereals.\"\n4720,2013/02/03,\"I had tacos for lunch with Jackson, Avery, Willow\",\"I had tacos for lunch with Jackson, Avery, Willow\"\n4721,2013/02/03,\"I talked to Rylee, Kinsley for 26 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley for 26 minutes in the early afternoon.\"\n4722,2013/02/03,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n4723,2013/02/04,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n4724,2013/02/04,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n4725,2013/02/05,I did hiking on 2013/02/05.,I did hiking on 2013/02/05.\n4726,2013/02/06,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n4727,2013/02/06,I ate indian food for dinner.,I ate indian food for dinner.\n4728,2013/02/06,I spent 51 talking to Layla on various topics late in the evening.,I spent 51 talking to Layla on various topics late in the evening.\n4729,2013/02/07,I ate pasta for lunch.,I ate pasta for lunch.\n4730,2013/02/07,\"I spent 6 talking to Claire, Layla, Olivia on various topics in the late afternoon.\",\"I spent 6 talking to Claire, Layla, Olivia on various topics in the late afternoon.\"\n4731,2013/02/07,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n4732,2013/02/07,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n4733,2013/02/08,\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew\",\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew\"\n4734,2013/02/08,\"I had sushi for lunch with Carter, Emily\",\"I had sushi for lunch with Carter, Emily\"\n4735,2013/02/08,\"I talked to Rylee, Nevaeh, Avery, Lydia for 37 minutes late in the evening.\",\"I talked to Rylee, Nevaeh, Avery, Lydia for 37 minutes late in the evening.\"\n4736,2013/02/08,I spent 29 talking to Layla on various topics in the morning.,I spent 29 talking to Layla on various topics in the morning.\n4737,2013/02/08,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n4738,2013/02/09,\"On 2013/02/09, I took Stella on a date to a park\",\"On 2013/02/09, I took Stella on a date to a park\"\n4739,2013/02/09,\"I had breakfast with Carter, Andrew, Emily. I ate cereals.\",\"I had breakfast with Carter, Andrew, Emily. I ate cereals.\"\n4740,2013/02/09,I spent 32 talking to Piper on various topics in the early evening.,I spent 32 talking to Piper on various topics in the early evening.\n4741,2013/02/09,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n4742,2013/02/09,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n4743,2013/02/10,I really enjoyed learning a language on 2013/02/10,I really enjoyed learning a language on 2013/02/10\n4744,2013/02/10,\"I went grocery shopping. I bought some peaches, strawberries, coffee, guava juice, and shaving cream, mouth wash\",\"I went grocery shopping. I bought some peaches, strawberries, coffee, guava juice, and shaving cream, mouth wash\"\n4745,2013/02/10,\"I talked to Piper, Layla for 19 minutes in the early afternoon.\",\"I talked to Piper, Layla for 19 minutes in the early afternoon.\"\n4746,2013/02/10,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n4747,2013/02/11,I did running on 2013/02/11.,I did running on 2013/02/11.\n4748,2013/02/11,\"I had pasta for lunch with Kayden, Andrew, Carter, Emily\",\"I had pasta for lunch with Kayden, Andrew, Carter, Emily\"\n4749,2013/02/11,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n4750,2013/02/11,\"I spent 13 talking to Lydia, Layla, Kinsley, Nora on various topics in the early afternoon.\",\"I spent 13 talking to Lydia, Layla, Kinsley, Nora on various topics in the early afternoon.\"\n4751,2013/02/11,\"I spent 32 talking to Claire, Piper, Piper on various topics late in the evening.\",\"I spent 32 talking to Claire, Piper, Piper on various topics late in the evening.\"\n4752,2013/02/12,\"On 2013/02/12, I took Jameson on a date to a park\",\"On 2013/02/12, I took Jameson on a date to a park\"\n4753,2013/02/12,\"I had a burger for lunch with Avery, Nora, Kinsley, Hazel, Olivia, Rylee, Piper, Lydia, Claire, Eva, Nevaeh, Layla\",\"I had a burger for lunch with Avery, Nora, Kinsley, Hazel, Olivia, Rylee, Piper, Lydia, Claire, Eva, Nevaeh, Layla\"\n4754,2013/02/12,\"I spent 37 talking to Piper, Hazel on various topics late in the evening.\",\"I spent 37 talking to Piper, Hazel on various topics late in the evening.\"\n4755,2013/02/12,\"I spent 22 talking to Eva, Olivia, Piper, Nora on various topics in the late afternoon.\",\"I spent 22 talking to Eva, Olivia, Piper, Nora on various topics in the late afternoon.\"\n4756,2013/02/12,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n4757,2013/02/13,I did weight lifting on 2013/02/13.,I did weight lifting on 2013/02/13.\n4758,2013/02/13,\"I had oatmeal for breakfast with Claire, Eva\",\"I had oatmeal for breakfast with Claire, Eva\"\n4759,2013/02/13,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n4760,2013/02/13,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n4761,2013/02/14,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n4762,2013/02/14,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n4763,2013/02/14,I spent 43 minutes watching news on TV today.,I spent 43 minutes watching news on TV today.\n4764,2013/02/15,\"I had cereals for breakfast with Willow, Jackson\",\"I had cereals for breakfast with Willow, Jackson\"\n4765,2013/02/15,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n4766,2013/02/16,I talked to Piper for 16 minutes in the late afternoon.,I talked to Piper for 16 minutes in the late afternoon.\n4767,2013/02/16,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n4768,2013/02/16,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n4769,2013/02/17,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n4770,2013/02/17,I prepare pasta for lunch.,I prepare pasta for lunch.\n4771,2013/02/17,\"I talked to Avery, Kinsley, Rylee for 43 minutes during lunch hours.\",\"I talked to Avery, Kinsley, Rylee for 43 minutes during lunch hours.\"\n4772,2013/02/17,\"I spent 7 talking to Piper, Eva, Hazel on various topics in the early evening.\",\"I spent 7 talking to Piper, Eva, Hazel on various topics in the early evening.\"\n4773,2013/02/17,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n4774,2013/02/17,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n4775,2013/02/18,\"I bought some guava, raspberries, pineapples, watermelons, orange juice, milk, chocolate milk, toothbrush, paper towel, toilet paper, body lotion online.\",\"I bought some guava, raspberries, pineapples, watermelons, orange juice, milk, chocolate milk, toothbrush, paper towel, toilet paper, body lotion online.\"\n4776,2013/02/18,I did running on 2013/02/18.,I did running on 2013/02/18.\n4777,2013/02/18,I ate cereals for breakfast.,I ate cereals for breakfast.\n4778,2013/02/18,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n4779,2013/02/19,I did swimming on 2013/02/19.,I did swimming on 2013/02/19.\n4780,2013/02/19,\"I had breakfast with Jackson, Benjamin, Avery, Willow. I ate oatmeal.\",\"I had breakfast with Jackson, Benjamin, Avery, Willow. I ate oatmeal.\"\n4781,2013/02/19,I ate steak for dinner.,I ate steak for dinner.\n4782,2013/02/19,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n4783,2013/02/20,I did swimming on 2013/02/20.,I did swimming on 2013/02/20.\n4784,2013/02/20,\"I had indian food for lunch with Carter, Emily\",\"I had indian food for lunch with Carter, Emily\"\n4785,2013/02/20,\"I talked to Olivia, Lydia, Nevaeh for 24 minutes late in the evening.\",\"I talked to Olivia, Lydia, Nevaeh for 24 minutes late in the evening.\"\n4786,2013/02/21,I did biking on 2013/02/21.,I did biking on 2013/02/21.\n4787,2013/02/21,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n4788,2013/02/21,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n4789,2013/02/22,I did running on 2013/02/22.,I did running on 2013/02/22.\n4790,2013/02/22,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n4791,2013/02/22,\"I had tacos for dinner with Willow, Avery\",\"I had tacos for dinner with Willow, Avery\"\n4792,2013/02/22,I talked to Lydia for 26 minutes late in the evening.,I talked to Lydia for 26 minutes late in the evening.\n4793,2013/02/22,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n4794,2013/02/23,I did swimming on 2013/02/23.,I did swimming on 2013/02/23.\n4795,2013/02/23,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n4796,2013/02/23,\"I had pasta for dinner with Eva, Avery, Piper, Kinsley, Lydia\",\"I had pasta for dinner with Eva, Avery, Piper, Kinsley, Lydia\"\n4797,2013/02/23,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n4798,2013/02/24,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n4799,2013/02/24,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n4800,2013/02/24,\"I spent 13 talking to Eva, Rylee on various topics during lunch hours.\",\"I spent 13 talking to Eva, Rylee on various topics during lunch hours.\"\n4801,2013/02/25,I did biking on 2013/02/25.,I did biking on 2013/02/25.\n4802,2013/02/25,I had cereals for breakfast with Nora,I had cereals for breakfast with Nora\n4803,2013/02/25,\"I had chinese food for dinner with Olivia, Nora, Claire\",\"I had chinese food for dinner with Olivia, Nora, Claire\"\n4804,2013/02/25,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n4805,2013/02/26,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n4806,2013/02/26,\"I had lunch with Andrew, Kayden. I ate sandwich.\",\"I had lunch with Andrew, Kayden. I ate sandwich.\"\n4807,2013/02/26,I spent 33 minutes watching a tv series on TV today.,I spent 33 minutes watching a tv series on TV today.\n4808,2013/02/27,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n4809,2013/02/27,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n4810,2013/02/27,\"I spent 46 talking to Layla, Piper, Piper, Hazel on various topics during lunch hours.\",\"I spent 46 talking to Layla, Piper, Piper, Hazel on various topics during lunch hours.\"\n4811,2013/02/27,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n4812,2013/02/28,I did biking on 2013/02/28.,I did biking on 2013/02/28.\n4813,2013/02/28,\"I had tacos for lunch with Kayden, Andrew, Emily, Carter\",\"I had tacos for lunch with Kayden, Andrew, Emily, Carter\"\n4814,2013/02/28,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n4815,2013/03/01,I went on a date with Henry on 2013/03/01 at a boba shop,I went on a date with Henry on 2013/03/01 at a boba shop\n4816,2013/03/01,\"I had eggs, sausages, and bread for breakfast with Andrew\",\"I had eggs, sausages, and bread for breakfast with Andrew\"\n4817,2013/03/01,I prepare a burger for lunch.,I prepare a burger for lunch.\n4818,2013/03/02,I did hiking on 2013/03/02.,I did hiking on 2013/03/02.\n4819,2013/03/02,\"I had pancakes for breakfast with Eva, Hazel, Nora, Lydia, Rylee, Piper, Avery, Kinsley, Claire, Piper, Layla, Nevaeh, Olivia\",\"I had pancakes for breakfast with Eva, Hazel, Nora, Lydia, Rylee, Piper, Avery, Kinsley, Claire, Piper, Layla, Nevaeh, Olivia\"\n4820,2013/03/02,\"I had lunch with Jackson, Avery, Benjamin. I ate sushi.\",\"I had lunch with Jackson, Avery, Benjamin. I ate sushi.\"\n4821,2013/03/02,\"I spent 12 talking to Olivia, Rylee on various topics in the early evening.\",\"I spent 12 talking to Olivia, Rylee on various topics in the early evening.\"\n4822,2013/03/02,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n4823,2013/03/03,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n4824,2013/03/03,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n4825,2013/03/03,I talked to Olivia for 10 minutes in the late afternoon.,I talked to Olivia for 10 minutes in the late afternoon.\n4826,2013/03/03,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n4827,2013/03/03,I watched news for 28 minutes on TV today.,I watched news for 28 minutes on TV today.\n4828,2013/03/04,\"I had sushi for lunch with Carter, Andrew, Kayden, Emily\",\"I had sushi for lunch with Carter, Andrew, Kayden, Emily\"\n4829,2013/03/04,I prepare sushi for dinner.,I prepare sushi for dinner.\n4830,2013/03/04,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n4831,2013/03/04,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n4832,2013/03/05,I did HIIT on 2013/03/05.,I did HIIT on 2013/03/05.\n4833,2013/03/05,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n4834,2013/03/05,I ate chinese food for lunch.,I ate chinese food for lunch.\n4835,2013/03/05,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n4836,2013/03/05,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n4837,2013/03/06,I did running on 2013/03/06.,I did running on 2013/03/06.\n4838,2013/03/06,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n4839,2013/03/06,\"I talked to Piper, Hazel, Lydia for 28 minutes in the late afternoon.\",\"I talked to Piper, Hazel, Lydia for 28 minutes in the late afternoon.\"\n4840,2013/03/07,\"On 2013/03/07, I took Alon on a date to a coffee Shop\",\"On 2013/03/07, I took Alon on a date to a coffee Shop\"\n4841,2013/03/07,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n4842,2013/03/07,\"I talked to Claire, Avery, Nora for 5 minutes late in the evening.\",\"I talked to Claire, Avery, Nora for 5 minutes late in the evening.\"\n4843,2013/03/07,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n4844,2013/03/08,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n4845,2013/03/09,I did biking on 2013/03/09.,I did biking on 2013/03/09.\n4846,2013/03/09,\"I talked to Nora, Claire, Avery for 5 minutes late in the evening.\",\"I talked to Nora, Claire, Avery for 5 minutes late in the evening.\"\n4847,2013/03/09,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n4848,2013/03/09,I spent 33 minutes watching a tv series on TV today.,I spent 33 minutes watching a tv series on TV today.\n4849,2013/03/10,I had sushi for lunch with Emily,I had sushi for lunch with Emily\n4850,2013/03/10,I ate sandwich for dinner.,I ate sandwich for dinner.\n4851,2013/03/10,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n4852,2013/03/11,I ate sandwich for dinner.,I ate sandwich for dinner.\n4853,2013/03/11,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n4854,2013/03/11,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n4855,2013/03/12,I really enjoyed working out on 2013/03/12,I really enjoyed working out on 2013/03/12\n4856,2013/03/12,I did hiking on 2013/03/12.,I did hiking on 2013/03/12.\n4857,2013/03/12,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n4858,2013/03/12,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n4859,2013/03/12,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n4860,2013/03/12,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n4861,2013/03/13,\"I had pancakes for breakfast with Layla, Avery, Rylee, Nevaeh\",\"I had pancakes for breakfast with Layla, Avery, Rylee, Nevaeh\"\n4862,2013/03/13,\"I had fish and chips for lunch with Kayden, Andrew, Carter, Emily\",\"I had fish and chips for lunch with Kayden, Andrew, Carter, Emily\"\n4863,2013/03/13,I prepare steak for dinner.,I prepare steak for dinner.\n4864,2013/03/13,\"I spent 11 talking to Piper, Eva, Avery on various topics in the morning.\",\"I spent 11 talking to Piper, Eva, Avery on various topics in the morning.\"\n4865,2013/03/13,\"I talked to Hazel, Rylee for 5 minutes during lunch hours.\",\"I talked to Hazel, Rylee for 5 minutes during lunch hours.\"\n4866,2013/03/13,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n4867,2013/03/14,\"I bought some clementines, pineapples, cherres, chocolate milk, orange juice, apple juice, sports drinks, toilet paper online.\",\"I bought some clementines, pineapples, cherres, chocolate milk, orange juice, apple juice, sports drinks, toilet paper online.\"\n4868,2013/03/14,I did swimming on 2013/03/14.,I did swimming on 2013/03/14.\n4869,2013/03/14,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n4870,2013/03/14,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n4871,2013/03/14,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n4872,2013/03/14,I spent 5 minutes watching a documentary on TV today.,I spent 5 minutes watching a documentary on TV today.\n4873,2013/03/15,\"I bought some guava, watermelons, apricots, mango juice, chocolate milk, sports drinks, milk, mouthwash, shaving cream, conditioner, shampoo online.\",\"I bought some guava, watermelons, apricots, mango juice, chocolate milk, sports drinks, milk, mouthwash, shaving cream, conditioner, shampoo online.\"\n4874,2013/03/15,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n4875,2013/03/15,\"I had dinner with Andrew, Kayden. I ate chinese food.\",\"I had dinner with Andrew, Kayden. I ate chinese food.\"\n4876,2013/03/15,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n4877,2013/03/16,\"I had pasta for lunch with Kinsley, Layla, Rylee, Avery, Olivia, Claire\",\"I had pasta for lunch with Kinsley, Layla, Rylee, Avery, Olivia, Claire\"\n4878,2013/03/16,\"I spent 33 talking to Rylee, Piper, Kinsley on various topics during lunch hours.\",\"I spent 33 talking to Rylee, Piper, Kinsley on various topics during lunch hours.\"\n4879,2013/03/16,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n4880,2013/03/17,I went on a date with Madelyn on 2013/03/17 at a boba shop,I went on a date with Madelyn on 2013/03/17 at a boba shop\n4881,2013/03/17,I did swimming on 2013/03/17.,I did swimming on 2013/03/17.\n4882,2013/03/17,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n4883,2013/03/17,\"I spent 36 talking to Kinsley, Piper, Piper, Eva on various topics in the morning.\",\"I spent 36 talking to Kinsley, Piper, Piper, Eva on various topics in the morning.\"\n4884,2013/03/17,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n4885,2013/03/18,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n4886,2013/03/18,\"I had dinner with Claire, Nora, Kinsley, Piper, Nevaeh, Avery, Layla, Eva. I ate sushi.\",\"I had dinner with Claire, Nora, Kinsley, Piper, Nevaeh, Avery, Layla, Eva. I ate sushi.\"\n4887,2013/03/18,I talked to Nevaeh for 18 minutes late in the evening.,I talked to Nevaeh for 18 minutes late in the evening.\n4888,2013/03/18,I spent 46 talking to Nevaeh on various topics late in the evening.,I spent 46 talking to Nevaeh on various topics late in the evening.\n4889,2013/03/19,\"I had breakfast with Lydia, Piper, Piper, Nora, Kinsley. I ate toast and cheese.\",\"I had breakfast with Lydia, Piper, Piper, Nora, Kinsley. I ate toast and cheese.\"\n4890,2013/03/19,I had dinner. I ate steak.,I had dinner. I ate steak.\n4891,2013/03/19,\"I talked to Avery, Claire for 39 minutes late in the evening.\",\"I talked to Avery, Claire for 39 minutes late in the evening.\"\n4892,2013/03/19,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n4893,2013/03/20,I did hiking on 2013/03/20.,I did hiking on 2013/03/20.\n4894,2013/03/20,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n4895,2013/03/20,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n4896,2013/03/20,\"I talked to Olivia, Kinsley, Claire for 25 minutes in the early evening.\",\"I talked to Olivia, Kinsley, Claire for 25 minutes in the early evening.\"\n4897,2013/03/20,\"I talked to Nevaeh, Olivia, Nora for 45 minutes in the morning.\",\"I talked to Nevaeh, Olivia, Nora for 45 minutes in the morning.\"\n4898,2013/03/20,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n4899,2013/03/20,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n4900,2013/03/21,I went on a date with Joseph on 2013/03/21 at a park,I went on a date with Joseph on 2013/03/21 at a park\n4901,2013/03/21,\"I went grocery shopping with Emily, Kayden, Carter, Andrew. I bought some mangos, raspberries, guava, soda, orange juice, and shampoo\",\"I went grocery shopping with Emily, Kayden, Carter, Andrew. I bought some mangos, raspberries, guava, soda, orange juice, and shampoo\"\n4902,2013/03/21,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n4903,2013/03/21,I prepare tacos for dinner.,I prepare tacos for dinner.\n4904,2013/03/21,\"I talked to Layla, Lydia, Piper, Nora for 41 minutes in the late afternoon.\",\"I talked to Layla, Lydia, Piper, Nora for 41 minutes in the late afternoon.\"\n4905,2013/03/22,\"I had lunch with Emily, Carter. I ate sandwich.\",\"I had lunch with Emily, Carter. I ate sandwich.\"\n4906,2013/03/22,\"I talked to Kinsley, Claire, Lydia for 7 minutes during lunch hours.\",\"I talked to Kinsley, Claire, Lydia for 7 minutes during lunch hours.\"\n4907,2013/03/22,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n4908,2013/03/23,I did biking on 2013/03/23.,I did biking on 2013/03/23.\n4909,2013/03/23,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n4910,2013/03/23,\"I had chinese food for dinner with Nevaeh, Hazel, Lydia, Olivia, Rylee, Kinsley, Eva, Avery, Claire, Nora, Piper\",\"I had chinese food for dinner with Nevaeh, Hazel, Lydia, Olivia, Rylee, Kinsley, Eva, Avery, Claire, Nora, Piper\"\n4911,2013/03/23,I talked to Nevaeh for 48 minutes in the early evening.,I talked to Nevaeh for 48 minutes in the early evening.\n4912,2013/03/23,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n4913,2013/03/24,I really enjoyed meditation on 2013/03/24,I really enjoyed meditation on 2013/03/24\n4914,2013/03/24,\"I bought some mandarins, tea, toothbrush, mouth wash from the grocery store. I saw Rylee, Lydia, Claire, Layla, Nevaeh, Olivia, Avery, Piper at the grocery store.\",\"I bought some mandarins, tea, toothbrush, mouth wash from the grocery store. I saw Rylee, Lydia, Claire, Layla, Nevaeh, Olivia, Avery, Piper at the grocery store.\"\n4915,2013/03/24,I did biking on 2013/03/24.,I did biking on 2013/03/24.\n4916,2013/03/24,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n4917,2013/03/24,\"I spent 14 talking to Lydia, Avery, Layla on various topics in the early evening.\",\"I spent 14 talking to Lydia, Avery, Layla on various topics in the early evening.\"\n4918,2013/03/24,\"I spent 30 talking to Hazel, Rylee, Kinsley on various topics in the late afternoon.\",\"I spent 30 talking to Hazel, Rylee, Kinsley on various topics in the late afternoon.\"\n4919,2013/03/25,I did running on 2013/03/25.,I did running on 2013/03/25.\n4920,2013/03/25,\"I had breakfast with Lydia, Piper, Hazel, Avery, Piper. I ate oatmeal.\",\"I had breakfast with Lydia, Piper, Hazel, Avery, Piper. I ate oatmeal.\"\n4921,2013/03/25,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n4922,2013/03/25,\"I talked to Rylee, Nevaeh for 53 minutes during lunch hours.\",\"I talked to Rylee, Nevaeh for 53 minutes during lunch hours.\"\n4923,2013/03/25,\"I talked to Rylee, Eva, Claire, Hazel for 12 minutes in the morning.\",\"I talked to Rylee, Eva, Claire, Hazel for 12 minutes in the morning.\"\n4924,2013/03/26,\"I had dinner with Carter, Kayden. I ate fish and chips.\",\"I had dinner with Carter, Kayden. I ate fish and chips.\"\n4925,2013/03/26,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n4926,2013/03/27,I did swimming on 2013/03/27.,I did swimming on 2013/03/27.\n4927,2013/03/27,I ate cereals for breakfast.,I ate cereals for breakfast.\n4928,2013/03/27,\"I spent 17 talking to Lydia, Nora, Nevaeh on various topics in the early afternoon.\",\"I spent 17 talking to Lydia, Nora, Nevaeh on various topics in the early afternoon.\"\n4929,2013/03/27,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n4930,2013/03/27,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n4931,2013/03/28,I did hiking on 2013/03/28.,I did hiking on 2013/03/28.\n4932,2013/03/28,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n4933,2013/03/28,\"I had sandwich for dinner with Claire, Nevaeh, Nora, Avery, Rylee, Olivia\",\"I had sandwich for dinner with Claire, Nevaeh, Nora, Avery, Rylee, Olivia\"\n4934,2013/03/28,\"I talked to Lydia, Eva, Layla, Avery for 31 minutes in the late afternoon.\",\"I talked to Lydia, Eva, Layla, Avery for 31 minutes in the late afternoon.\"\n4935,2013/03/28,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n4936,2013/03/28,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n4937,2013/03/29,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n4938,2013/03/29,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n4939,2013/03/30,\"I went grocery shopping with Emily, Kayden, Carter, Andrew. I bought some watermelons, milk, guava juice, chocolate milk, and shaving cream\",\"I went grocery shopping with Emily, Kayden, Carter, Andrew. I bought some watermelons, milk, guava juice, chocolate milk, and shaving cream\"\n4940,2013/03/30,I did swimming on 2013/03/30.,I did swimming on 2013/03/30.\n4941,2013/03/30,\"I had peanut-butter-jam for breakfast with Piper, Nora, Eva\",\"I had peanut-butter-jam for breakfast with Piper, Nora, Eva\"\n4942,2013/03/30,\"I had dinner with Carter, Kayden, Emily, Andrew. I ate indian food.\",\"I had dinner with Carter, Kayden, Emily, Andrew. I ate indian food.\"\n4943,2013/03/30,\"I talked to Claire, Piper for 31 minutes in the early afternoon.\",\"I talked to Claire, Piper for 31 minutes in the early afternoon.\"\n4944,2013/03/30,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n4945,2013/03/31,I really enjoyed yoga on 2013/03/31,I really enjoyed yoga on 2013/03/31\n4946,2013/03/31,I did biking on 2013/03/31.,I did biking on 2013/03/31.\n4947,2013/03/31,I had lunch with Benjamin. I ate steak.,I had lunch with Benjamin. I ate steak.\n4948,2013/03/31,I talked to Nevaeh for 49 minutes in the morning.,I talked to Nevaeh for 49 minutes in the morning.\n4949,2013/03/31,I spent 29 minutes watching news on TV today.,I spent 29 minutes watching news on TV today.\n4950,2013/04/01,I went on a date with Kai on 2013/04/01 at a restaurant,I went on a date with Kai on 2013/04/01 at a restaurant\n4951,2013/04/01,I did swimming on 2013/04/01.,I did swimming on 2013/04/01.\n4952,2013/04/01,\"I had breakfast with Emily, Andrew. I ate toast and cheese.\",\"I had breakfast with Emily, Andrew. I ate toast and cheese.\"\n4953,2013/04/01,\"I had fish and chips for lunch with Avery, Willow\",\"I had fish and chips for lunch with Avery, Willow\"\n4954,2013/04/01,I talked to Nora for 14 minutes late in the evening.,I talked to Nora for 14 minutes late in the evening.\n4955,2013/04/01,\"I talked to Nevaeh, Layla, Piper, Rylee for 17 minutes in the late afternoon.\",\"I talked to Nevaeh, Layla, Piper, Rylee for 17 minutes in the late afternoon.\"\n4956,2013/04/01,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n4957,2013/04/02,\"I had dinner with Piper, Claire, Lydia, Nevaeh, Olivia, Kinsley. I ate a burger.\",\"I had dinner with Piper, Claire, Lydia, Nevaeh, Olivia, Kinsley. I ate a burger.\"\n4958,2013/04/02,\"I talked to Piper, Rylee, Nevaeh, Lydia for 27 minutes during lunch hours.\",\"I talked to Piper, Rylee, Nevaeh, Lydia for 27 minutes during lunch hours.\"\n4959,2013/04/02,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n4960,2013/04/03,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n4961,2013/04/03,I talked to Nevaeh for 8 minutes in the early afternoon.,I talked to Nevaeh for 8 minutes in the early afternoon.\n4962,2013/04/03,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n4963,2013/04/04,\"I had peanut-butter-jam for breakfast with Hazel, Rylee, Nora, Layla, Piper, Kinsley, Avery, Piper\",\"I had peanut-butter-jam for breakfast with Hazel, Rylee, Nora, Layla, Piper, Kinsley, Avery, Piper\"\n4964,2013/04/04,I spent 42 talking to Hazel on various topics in the late afternoon.,I spent 42 talking to Hazel on various topics in the late afternoon.\n4965,2013/04/04,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n4966,2013/04/05,I did HIIT on 2013/04/05.,I did HIIT on 2013/04/05.\n4967,2013/04/06,I did weight lifting on 2013/04/06.,I did weight lifting on 2013/04/06.\n4968,2013/04/06,\"I had indian food for lunch with Emily, Kayden, Andrew\",\"I had indian food for lunch with Emily, Kayden, Andrew\"\n4969,2013/04/07,I went on a date with Cooper on 2013/04/07 at a park,I went on a date with Cooper on 2013/04/07 at a park\n4970,2013/04/07,I did biking on 2013/04/07.,I did biking on 2013/04/07.\n4971,2013/04/08,\"I bought some clementines, peaches, pineapples, guava, apple juice, pineapple juice, tea, conditioner, shampoo, mouthwash online.\",\"I bought some clementines, peaches, pineapples, guava, apple juice, pineapple juice, tea, conditioner, shampoo, mouthwash online.\"\n4972,2013/04/08,I did weight lifting on 2013/04/08.,I did weight lifting on 2013/04/08.\n4973,2013/04/08,\"I had pancakes for breakfast with Jackson, Benjamin, Avery\",\"I had pancakes for breakfast with Jackson, Benjamin, Avery\"\n4974,2013/04/08,\"I had indian food for lunch with Kinsley, Olivia, Eva, Layla, Nevaeh, Piper, Rylee, Avery, Lydia, Hazel\",\"I had indian food for lunch with Kinsley, Olivia, Eva, Layla, Nevaeh, Piper, Rylee, Avery, Lydia, Hazel\"\n4975,2013/04/08,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n4976,2013/04/09,\"I had chinese food for dinner with Rylee, Eva, Piper, Olivia, Layla, Lydia, Nevaeh, Avery, Kinsley, Piper, Nora, Hazel, Claire\",\"I had chinese food for dinner with Rylee, Eva, Piper, Olivia, Layla, Lydia, Nevaeh, Avery, Kinsley, Piper, Nora, Hazel, Claire\"\n4977,2013/04/09,I spent 54 talking to Layla on various topics in the early evening.,I spent 54 talking to Layla on various topics in the early evening.\n4978,2013/04/09,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n4979,2013/04/10,\"I went grocery shopping. I bought some blueberries, nectarines, raspberries, pineapple juice, soda, milk, and toilet paper, shampoo\",\"I went grocery shopping. I bought some blueberries, nectarines, raspberries, pineapple juice, soda, milk, and toilet paper, shampoo\"\n4980,2013/04/10,I had fish and chips for dinner with Benjamin,I had fish and chips for dinner with Benjamin\n4981,2013/04/10,\"I talked to Rylee, Kinsley, Layla, Hazel for 29 minutes in the early evening.\",\"I talked to Rylee, Kinsley, Layla, Hazel for 29 minutes in the early evening.\"\n4982,2013/04/11,I did swimming on 2013/04/11.,I did swimming on 2013/04/11.\n4983,2013/04/11,\"I had peanut-butter-jam for breakfast with Emily, Andrew, Kayden\",\"I had peanut-butter-jam for breakfast with Emily, Andrew, Kayden\"\n4984,2013/04/11,\"I had steak for dinner with Andrew, Emily, Kayden, Carter\",\"I had steak for dinner with Andrew, Emily, Kayden, Carter\"\n4985,2013/04/11,\"I spent 32 talking to Layla, Claire, Kinsley on various topics in the early evening.\",\"I spent 32 talking to Layla, Claire, Kinsley on various topics in the early evening.\"\n4986,2013/04/11,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n4987,2013/04/11,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n4988,2013/04/12,\"I had peanut-butter-jam for breakfast with Piper, Layla, Avery, Eva\",\"I had peanut-butter-jam for breakfast with Piper, Layla, Avery, Eva\"\n4989,2013/04/12,\"I had fish and chips for lunch with Piper, Nora, Layla, Lydia, Claire, Avery\",\"I had fish and chips for lunch with Piper, Nora, Layla, Lydia, Claire, Avery\"\n4990,2013/04/12,I ate tacos for dinner.,I ate tacos for dinner.\n4991,2013/04/13,\"I bought some guava, pineapples, apple juice, toothbrush, paper towel from the grocery store. I saw Avery, Benjamin at the grocery store.\",\"I bought some guava, pineapples, apple juice, toothbrush, paper towel from the grocery store. I saw Avery, Benjamin at the grocery store.\"\n4992,2013/04/13,I did swimming on 2013/04/13.,I did swimming on 2013/04/13.\n4993,2013/04/13,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n4994,2013/04/13,\"I spent 20 talking to Olivia, Hazel, Rylee, Nora on various topics in the morning.\",\"I spent 20 talking to Olivia, Hazel, Rylee, Nora on various topics in the morning.\"\n4995,2013/04/13,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n4996,2013/04/14,\"I had toast and cheese for breakfast with Piper, Layla, Piper, Olivia, Kinsley\",\"I had toast and cheese for breakfast with Piper, Layla, Piper, Olivia, Kinsley\"\n4997,2013/04/14,\"I talked to Nora, Olivia, Layla for 43 minutes late in the evening.\",\"I talked to Nora, Olivia, Layla for 43 minutes late in the evening.\"\n4998,2013/04/14,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n4999,2013/04/14,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n5000,2013/04/15,I did weight lifting on 2013/04/15.,I did weight lifting on 2013/04/15.\n5001,2013/04/15,I prepare indian food for lunch.,I prepare indian food for lunch.\n5002,2013/04/15,\"I spent 34 talking to Layla, Rylee, Nora, Nevaeh on various topics during lunch hours.\",\"I spent 34 talking to Layla, Rylee, Nora, Nevaeh on various topics during lunch hours.\"\n5003,2013/04/15,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n5004,2013/04/16,\"I had breakfast with Benjamin, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Benjamin, Willow. I ate eggs, sausages, and bread.\"\n5005,2013/04/16,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n5006,2013/04/16,\"I talked to Eva, Hazel, Piper, Avery for 24 minutes during lunch hours.\",\"I talked to Eva, Hazel, Piper, Avery for 24 minutes during lunch hours.\"\n5007,2013/04/16,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n5008,2013/04/17,I did swimming on 2013/04/17.,I did swimming on 2013/04/17.\n5009,2013/04/17,I ate a burger for lunch.,I ate a burger for lunch.\n5010,2013/04/17,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n5011,2013/04/18,I had dinner. I ate steak.,I had dinner. I ate steak.\n5012,2013/04/18,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n5013,2013/04/19,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n5014,2013/04/19,I prepare pasta for dinner.,I prepare pasta for dinner.\n5015,2013/04/19,\"I talked to Piper, Kinsley for 10 minutes in the early evening.\",\"I talked to Piper, Kinsley for 10 minutes in the early evening.\"\n5016,2013/04/19,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n5017,2013/04/19,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n5018,2013/04/20,I did weight lifting on 2013/04/20.,I did weight lifting on 2013/04/20.\n5019,2013/04/20,\"I had fish and chips for dinner with Andrew, Emily\",\"I had fish and chips for dinner with Andrew, Emily\"\n5020,2013/04/20,\"I talked to Olivia, Nora for 37 minutes during lunch hours.\",\"I talked to Olivia, Nora for 37 minutes during lunch hours.\"\n5021,2013/04/20,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n5022,2013/04/21,I did running on 2013/04/21.,I did running on 2013/04/21.\n5023,2013/04/21,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n5024,2013/04/21,I prepare pasta for lunch.,I prepare pasta for lunch.\n5025,2013/04/21,I spent 52 talking to Hazel on various topics late in the evening.,I spent 52 talking to Hazel on various topics late in the evening.\n5026,2013/04/21,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n5027,2013/04/22,I went on a date with Emily on 2013/04/22 at a coffee Shop,I went on a date with Emily on 2013/04/22 at a coffee Shop\n5028,2013/04/22,I did weight lifting on 2013/04/22.,I did weight lifting on 2013/04/22.\n5029,2013/04/22,I prepare pasta for lunch.,I prepare pasta for lunch.\n5030,2013/04/22,\"I talked to Piper, Lydia, Rylee for 42 minutes in the late afternoon.\",\"I talked to Piper, Lydia, Rylee for 42 minutes in the late afternoon.\"\n5031,2013/04/22,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n5032,2013/04/23,I did swimming on 2013/04/23.,I did swimming on 2013/04/23.\n5033,2013/04/23,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n5034,2013/04/23,I ate steak for dinner.,I ate steak for dinner.\n5035,2013/04/23,\"I spent 33 talking to Olivia, Piper, Piper, Kinsley on various topics in the late afternoon.\",\"I spent 33 talking to Olivia, Piper, Piper, Kinsley on various topics in the late afternoon.\"\n5036,2013/04/24,\"I bought some apples, raspberries, oranges, mandarins, coffee, sports drinks, mouthwash from the grocery store. I saw Andrew, Emily, Kayden at the grocery store.\",\"I bought some apples, raspberries, oranges, mandarins, coffee, sports drinks, mouthwash from the grocery store. I saw Andrew, Emily, Kayden at the grocery store.\"\n5037,2013/04/24,\"I had chinese food for lunch with Claire, Kinsley, Nevaeh, Nora, Rylee, Eva, Piper, Avery, Piper\",\"I had chinese food for lunch with Claire, Kinsley, Nevaeh, Nora, Rylee, Eva, Piper, Avery, Piper\"\n5038,2013/04/24,I spent 29 talking to Nora on various topics during lunch hours.,I spent 29 talking to Nora on various topics during lunch hours.\n5039,2013/04/24,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n5040,2013/04/25,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5041,2013/04/25,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n5042,2013/04/25,\"I spent 7 talking to Eva, Nevaeh, Nora on various topics in the early evening.\",\"I spent 7 talking to Eva, Nevaeh, Nora on various topics in the early evening.\"\n5043,2013/04/25,\"I spent 47 talking to Layla, Nevaeh on various topics in the late afternoon.\",\"I spent 47 talking to Layla, Nevaeh on various topics in the late afternoon.\"\n5044,2013/04/25,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n5045,2013/04/25,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n5046,2013/04/26,I did HIIT on 2013/04/26.,I did HIIT on 2013/04/26.\n5047,2013/04/26,I had dinner with Andrew. I ate sushi.,I had dinner with Andrew. I ate sushi.\n5048,2013/04/26,\"I spent 8 talking to Nora, Eva, Piper on various topics in the early evening.\",\"I spent 8 talking to Nora, Eva, Piper on various topics in the early evening.\"\n5049,2013/04/26,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n5050,2013/04/26,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n5051,2013/04/27,\"I had breakfast with Andrew, Emily, Kayden. I ate cereals.\",\"I had breakfast with Andrew, Emily, Kayden. I ate cereals.\"\n5052,2013/04/27,I ate steak for lunch.,I ate steak for lunch.\n5053,2013/04/27,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n5054,2013/04/27,I talked to Claire for 24 minutes in the late afternoon.,I talked to Claire for 24 minutes in the late afternoon.\n5055,2013/04/27,I spent 38 talking to Piper on various topics in the early afternoon.,I spent 38 talking to Piper on various topics in the early afternoon.\n5056,2013/04/27,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n5057,2013/04/27,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n5058,2013/04/28,\"I went grocery shopping. I bought some guava, apples, pineapples, raspberries, milk, soda, pineapple juice, and toothpaste, body lotion\",\"I went grocery shopping. I bought some guava, apples, pineapples, raspberries, milk, soda, pineapple juice, and toothpaste, body lotion\"\n5059,2013/04/28,I did biking on 2013/04/28.,I did biking on 2013/04/28.\n5060,2013/04/28,\"I had eggs, sausages, and bread for breakfast with Avery, Piper, Layla\",\"I had eggs, sausages, and bread for breakfast with Avery, Piper, Layla\"\n5061,2013/04/28,\"I had fish and chips for dinner with Piper, Piper, Layla, Lydia, Hazel, Avery, Eva, Nevaeh, Nora, Rylee, Olivia, Kinsley, Claire\",\"I had fish and chips for dinner with Piper, Piper, Layla, Lydia, Hazel, Avery, Eva, Nevaeh, Nora, Rylee, Olivia, Kinsley, Claire\"\n5062,2013/04/28,\"I talked to Avery, Claire for 18 minutes during lunch hours.\",\"I talked to Avery, Claire for 18 minutes during lunch hours.\"\n5063,2013/04/28,\"I talked to Hazel, Kinsley for 53 minutes in the late afternoon.\",\"I talked to Hazel, Kinsley for 53 minutes in the late afternoon.\"\n5064,2013/04/28,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n5065,2013/04/28,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n5066,2013/04/29,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n5067,2013/04/29,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n5068,2013/04/29,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n5069,2013/04/30,I did HIIT on 2013/04/30.,I did HIIT on 2013/04/30.\n5070,2013/04/30,\"I had toast and cheese for breakfast with Hazel, Layla\",\"I had toast and cheese for breakfast with Hazel, Layla\"\n5071,2013/04/30,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n5072,2013/04/30,\"I talked to Eva, Lydia, Hazel for 15 minutes in the morning.\",\"I talked to Eva, Lydia, Hazel for 15 minutes in the morning.\"\n5073,2013/04/30,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n5074,2013/04/30,I spent 31 minutes watching a tv series on TV today.,I spent 31 minutes watching a tv series on TV today.\n5075,2013/05/01,\"I had dinner with Lydia, Kinsley, Nevaeh, Piper, Avery, Claire, Piper, Olivia. I ate fish and chips.\",\"I had dinner with Lydia, Kinsley, Nevaeh, Piper, Avery, Claire, Piper, Olivia. I ate fish and chips.\"\n5076,2013/05/01,\"I talked to Claire, Piper, Avery, Kinsley for 31 minutes in the morning.\",\"I talked to Claire, Piper, Avery, Kinsley for 31 minutes in the morning.\"\n5077,2013/05/01,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n5078,2013/05/02,\"I spent time gardening on 2013/05/02 with Carter, Kayden, Emily.\",\"I spent time gardening on 2013/05/02 with Carter, Kayden, Emily.\"\n5079,2013/05/02,I did swimming on 2013/05/02.,I did swimming on 2013/05/02.\n5080,2013/05/02,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n5081,2013/05/02,I ate indian food for lunch.,I ate indian food for lunch.\n5082,2013/05/02,\"I talked to Avery, Layla, Rylee, Eva for 54 minutes late in the evening.\",\"I talked to Avery, Layla, Rylee, Eva for 54 minutes late in the evening.\"\n5083,2013/05/02,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n5084,2013/05/02,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n5085,2013/05/03,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n5086,2013/05/03,I ate chinese food for dinner.,I ate chinese food for dinner.\n5087,2013/05/03,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n5088,2013/05/03,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n5089,2013/05/04,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n5090,2013/05/04,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n5091,2013/05/04,\"I had indian food for dinner with Piper, Olivia, Nevaeh, Kinsley\",\"I had indian food for dinner with Piper, Olivia, Nevaeh, Kinsley\"\n5092,2013/05/04,\"I spent 26 talking to Kinsley, Avery, Rylee on various topics in the early afternoon.\",\"I spent 26 talking to Kinsley, Avery, Rylee on various topics in the early afternoon.\"\n5093,2013/05/04,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n5094,2013/05/04,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n5095,2013/05/05,I did running on 2013/05/05.,I did running on 2013/05/05.\n5096,2013/05/05,\"I had breakfast with Eva, Piper, Avery, Nora, Rylee, Piper, Hazel, Layla. I ate toast and cheese.\",\"I had breakfast with Eva, Piper, Avery, Nora, Rylee, Piper, Hazel, Layla. I ate toast and cheese.\"\n5097,2013/05/05,\"I had sushi for dinner with Piper, Avery, Eva, Rylee, Kinsley, Olivia, Claire, Lydia, Nora, Nevaeh\",\"I had sushi for dinner with Piper, Avery, Eva, Rylee, Kinsley, Olivia, Claire, Lydia, Nora, Nevaeh\"\n5098,2013/05/05,I talked to Kinsley for 24 minutes in the early afternoon.,I talked to Kinsley for 24 minutes in the early afternoon.\n5099,2013/05/05,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n5100,2013/05/06,I went on a date with Wyatt on 2013/05/06 at a restaurant,I went on a date with Wyatt on 2013/05/06 at a restaurant\n5101,2013/05/06,\"I bought some strawberries, watermelons, cherres, guava, pineapple juice, apple juice, tea, toilet paper, toothpaste, conditioner from the grocery store. I saw Piper, Layla, Piper, Claire, Rylee, Eva, Nora at the grocery store.\",\"I bought some strawberries, watermelons, cherres, guava, pineapple juice, apple juice, tea, toilet paper, toothpaste, conditioner from the grocery store. I saw Piper, Layla, Piper, Claire, Rylee, Eva, Nora at the grocery store.\"\n5102,2013/05/06,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n5103,2013/05/06,\"I had lunch with Andrew, Kayden. I ate sandwich.\",\"I had lunch with Andrew, Kayden. I ate sandwich.\"\n5104,2013/05/06,\"I spent 15 talking to Nora, Nevaeh, Olivia on various topics in the late afternoon.\",\"I spent 15 talking to Nora, Nevaeh, Olivia on various topics in the late afternoon.\"\n5105,2013/05/06,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n5106,2013/05/07,I talked to Layla for 29 minutes late in the evening.,I talked to Layla for 29 minutes late in the evening.\n5107,2013/05/07,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n5108,2013/05/07,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n5109,2013/05/08,I did running on 2013/05/08.,I did running on 2013/05/08.\n5110,2013/05/08,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n5111,2013/05/08,I spent 23 talking to Eva on various topics in the early evening.,I spent 23 talking to Eva on various topics in the early evening.\n5112,2013/05/08,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n5113,2013/05/09,\"I had lunch with Andrew, Emily, Carter. I ate a burger.\",\"I had lunch with Andrew, Emily, Carter. I ate a burger.\"\n5114,2013/05/09,\"I spent 26 talking to Claire, Nevaeh, Nora on various topics in the early afternoon.\",\"I spent 26 talking to Claire, Nevaeh, Nora on various topics in the early afternoon.\"\n5115,2013/05/09,\"I spent 37 talking to Eva, Nora, Olivia on various topics during lunch hours.\",\"I spent 37 talking to Eva, Nora, Olivia on various topics during lunch hours.\"\n5116,2013/05/09,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n5117,2013/05/09,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n5118,2013/05/10,I did running on 2013/05/10.,I did running on 2013/05/10.\n5119,2013/05/10,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n5120,2013/05/10,I ate sushi for lunch.,I ate sushi for lunch.\n5121,2013/05/10,\"I had dinner with Claire, Hazel. I ate sushi.\",\"I had dinner with Claire, Hazel. I ate sushi.\"\n5122,2013/05/10,\"I spent 17 talking to Piper, Nevaeh, Nora on various topics in the early afternoon.\",\"I spent 17 talking to Piper, Nevaeh, Nora on various topics in the early afternoon.\"\n5123,2013/05/10,I talked to Nevaeh for 47 minutes in the late afternoon.,I talked to Nevaeh for 47 minutes in the late afternoon.\n5124,2013/05/10,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n5125,2013/05/11,I did running on 2013/05/11.,I did running on 2013/05/11.\n5126,2013/05/11,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n5127,2013/05/11,\"I talked to Layla, Lydia for 6 minutes during lunch hours.\",\"I talked to Layla, Lydia for 6 minutes during lunch hours.\"\n5128,2013/05/11,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n5129,2013/05/12,\"I bought some peaches, mineral water, orange juice, guava juice, chocolate milk, body lotion, mouthwash, mouth wash, toothbrush online.\",\"I bought some peaches, mineral water, orange juice, guava juice, chocolate milk, body lotion, mouthwash, mouth wash, toothbrush online.\"\n5130,2013/05/12,I did running on 2013/05/12.,I did running on 2013/05/12.\n5131,2013/05/12,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n5132,2013/05/12,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n5133,2013/05/12,I talked to Claire for 13 minutes in the late afternoon.,I talked to Claire for 13 minutes in the late afternoon.\n5134,2013/05/12,\"I talked to Layla, Claire for 14 minutes during lunch hours.\",\"I talked to Layla, Claire for 14 minutes during lunch hours.\"\n5135,2013/05/12,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n5136,2013/05/13,I did swimming on 2013/05/13.,I did swimming on 2013/05/13.\n5137,2013/05/13,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n5138,2013/05/13,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n5139,2013/05/14,\"On 2013/05/14, I took Paisley on a date to a boba shop\",\"On 2013/05/14, I took Paisley on a date to a boba shop\"\n5140,2013/05/14,I did running on 2013/05/14.,I did running on 2013/05/14.\n5141,2013/05/14,I ate sandwich for dinner.,I ate sandwich for dinner.\n5142,2013/05/15,I had toast and cheese for breakfast with Andrew,I had toast and cheese for breakfast with Andrew\n5143,2013/05/15,I had dinner with Rylee. I ate pasta.,I had dinner with Rylee. I ate pasta.\n5144,2013/05/15,\"I talked to Lydia, Kinsley, Piper, Rylee for 13 minutes in the late afternoon.\",\"I talked to Lydia, Kinsley, Piper, Rylee for 13 minutes in the late afternoon.\"\n5145,2013/05/16,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n5146,2013/05/16,\"I talked to Claire, Olivia, Avery, Eva for 16 minutes in the early afternoon.\",\"I talked to Claire, Olivia, Avery, Eva for 16 minutes in the early afternoon.\"\n5147,2013/05/16,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n5148,2013/05/16,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n5149,2013/05/17,my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2013/05/17.,my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2013/05/17.\n5150,2013/05/17,I did hiking on 2013/05/17.,I did hiking on 2013/05/17.\n5151,2013/05/17,\"I had toast and cheese for breakfast with Kayden, Carter, Emily\",\"I had toast and cheese for breakfast with Kayden, Carter, Emily\"\n5152,2013/05/17,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n5153,2013/05/17,I spent 5 talking to Lydia on various topics during lunch hours.,I spent 5 talking to Lydia on various topics during lunch hours.\n5154,2013/05/17,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n5155,2013/05/18,\"I spent 27 talking to Rylee, Avery, Hazel, Piper on various topics in the morning.\",\"I spent 27 talking to Rylee, Avery, Hazel, Piper on various topics in the morning.\"\n5156,2013/05/18,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n5157,2013/05/19,\"I had chinese food for lunch with Emily, Andrew, Kayden, Carter\",\"I had chinese food for lunch with Emily, Andrew, Kayden, Carter\"\n5158,2013/05/19,\"I had tacos for dinner with Nora, Piper, Piper, Layla, Hazel, Rylee, Lydia, Avery, Nevaeh\",\"I had tacos for dinner with Nora, Piper, Piper, Layla, Hazel, Rylee, Lydia, Avery, Nevaeh\"\n5159,2013/05/19,I talked to Nora for 5 minutes in the late afternoon.,I talked to Nora for 5 minutes in the late afternoon.\n5160,2013/05/19,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n5161,2013/05/20,I did HIIT on 2013/05/20.,I did HIIT on 2013/05/20.\n5162,2013/05/20,I spent 43 talking to Olivia on various topics in the early evening.,I spent 43 talking to Olivia on various topics in the early evening.\n5163,2013/05/20,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n5164,2013/05/21,I spent 29 talking to Avery on various topics in the late afternoon.,I spent 29 talking to Avery on various topics in the late afternoon.\n5165,2013/05/21,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n5166,2013/05/22,I did running on 2013/05/22.,I did running on 2013/05/22.\n5167,2013/05/22,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n5168,2013/05/23,\"I had breakfast with Benjamin, Jackson, Avery, Willow. I ate oatmeal.\",\"I had breakfast with Benjamin, Jackson, Avery, Willow. I ate oatmeal.\"\n5169,2013/05/23,\"I had lunch with Carter, Emily, Kayden, Andrew. I ate indian food.\",\"I had lunch with Carter, Emily, Kayden, Andrew. I ate indian food.\"\n5170,2013/05/23,\"I spent 54 talking to Olivia, Lydia, Nora on various topics in the early evening.\",\"I spent 54 talking to Olivia, Lydia, Nora on various topics in the early evening.\"\n5171,2013/05/23,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n5172,2013/05/24,\"On 2013/05/24, I took Jade on a date to a coffee Shop\",\"On 2013/05/24, I took Jade on a date to a coffee Shop\"\n5173,2013/05/24,\"I had cereals for breakfast with Piper, Lydia, Avery, Rylee, Olivia, Layla, Eva, Piper, Claire, Nora, Hazel, Kinsley, Nevaeh\",\"I had cereals for breakfast with Piper, Lydia, Avery, Rylee, Olivia, Layla, Eva, Piper, Claire, Nora, Hazel, Kinsley, Nevaeh\"\n5174,2013/05/24,I ate steak for lunch.,I ate steak for lunch.\n5175,2013/05/24,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n5176,2013/05/24,I spent 24 minutes watching a movie on TV today.,I spent 24 minutes watching a movie on TV today.\n5177,2013/05/25,I did swimming on 2013/05/25.,I did swimming on 2013/05/25.\n5178,2013/05/25,\"I had dinner with Willow, Avery. I ate a burger.\",\"I had dinner with Willow, Avery. I ate a burger.\"\n5179,2013/05/25,\"I talked to Avery, Layla, Kinsley, Lydia for 55 minutes during lunch hours.\",\"I talked to Avery, Layla, Kinsley, Lydia for 55 minutes during lunch hours.\"\n5180,2013/05/25,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n5181,2013/05/25,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n5182,2013/05/26,\"I talked to Layla, Eva, Nora, Hazel for 52 minutes late in the evening.\",\"I talked to Layla, Eva, Nora, Hazel for 52 minutes late in the evening.\"\n5183,2013/05/26,\"I talked to Avery, Piper, Claire, Nevaeh for 15 minutes late in the evening.\",\"I talked to Avery, Piper, Claire, Nevaeh for 15 minutes late in the evening.\"\n5184,2013/05/27,\"I spent time yoga on 2013/05/27 with Willow, Jackson, Avery.\",\"I spent time yoga on 2013/05/27 with Willow, Jackson, Avery.\"\n5185,2013/05/27,I did hiking on 2013/05/27.,I did hiking on 2013/05/27.\n5186,2013/05/27,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n5187,2013/05/27,I talked to Avery for 24 minutes in the early afternoon.,I talked to Avery for 24 minutes in the early afternoon.\n5188,2013/05/27,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n5189,2013/05/27,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n5190,2013/05/28,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n5191,2013/05/28,\"I spent 11 talking to Nevaeh, Nora on various topics late in the evening.\",\"I spent 11 talking to Nevaeh, Nora on various topics late in the evening.\"\n5192,2013/05/28,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n5193,2013/05/29,I did biking on 2013/05/29.,I did biking on 2013/05/29.\n5194,2013/05/29,\"I had indian food for dinner with Andrew, Kayden\",\"I had indian food for dinner with Andrew, Kayden\"\n5195,2013/05/29,I spent 37 talking to Kinsley on various topics in the early afternoon.,I spent 37 talking to Kinsley on various topics in the early afternoon.\n5196,2013/05/30,\"I bought some apples, soda, milk, mango juice, paper towel, toothbrush from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\",\"I bought some apples, soda, milk, mango juice, paper towel, toothbrush from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\"\n5197,2013/05/30,I had lunch with Andrew. I ate pasta.,I had lunch with Andrew. I ate pasta.\n5198,2013/05/31,I did swimming on 2013/05/31.,I did swimming on 2013/05/31.\n5199,2013/05/31,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n5200,2013/05/31,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n5201,2013/05/31,\"I had dinner with Benjamin, Avery. I ate steak.\",\"I had dinner with Benjamin, Avery. I ate steak.\"\n5202,2013/05/31,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n5203,2013/05/31,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n5204,2013/06/01,I did HIIT on 2013/06/01.,I did HIIT on 2013/06/01.\n5205,2013/06/01,\"I had oatmeal for breakfast with Hazel, Claire, Piper, Nora, Olivia, Piper, Rylee, Kinsley, Nevaeh, Avery, Lydia, Layla, Eva\",\"I had oatmeal for breakfast with Hazel, Claire, Piper, Nora, Olivia, Piper, Rylee, Kinsley, Nevaeh, Avery, Lydia, Layla, Eva\"\n5206,2013/06/01,I had indian food for dinner with Kayden,I had indian food for dinner with Kayden\n5207,2013/06/01,I spent 53 talking to Lydia on various topics in the early afternoon.,I spent 53 talking to Lydia on various topics in the early afternoon.\n5208,2013/06/01,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n5209,2013/06/01,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n5210,2013/06/02,\"On 2013/06/02, I took Ryan on a date to a coffee Shop\",\"On 2013/06/02, I took Ryan on a date to a coffee Shop\"\n5211,2013/06/02,\"I had lunch with Eva, Olivia, Hazel, Claire, Nora, Avery, Rylee, Piper. I ate indian food.\",\"I had lunch with Eva, Olivia, Hazel, Claire, Nora, Avery, Rylee, Piper. I ate indian food.\"\n5212,2013/06/02,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n5213,2013/06/02,\"I spent 49 talking to Claire, Kinsley, Nora, Nevaeh on various topics during lunch hours.\",\"I spent 49 talking to Claire, Kinsley, Nora, Nevaeh on various topics during lunch hours.\"\n5214,2013/06/03,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n5215,2013/06/03,\"I spent 35 talking to Nora, Piper, Olivia on various topics during lunch hours.\",\"I spent 35 talking to Nora, Piper, Olivia on various topics during lunch hours.\"\n5216,2013/06/03,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n5217,2013/06/04,\"I talked to Claire, Kinsley, Layla for 49 minutes during lunch hours.\",\"I talked to Claire, Kinsley, Layla for 49 minutes during lunch hours.\"\n5218,2013/06/05,I did running on 2013/06/05.,I did running on 2013/06/05.\n5219,2013/06/05,\"I had toast and cheese for breakfast with Emily, Kayden, Andrew, Carter\",\"I had toast and cheese for breakfast with Emily, Kayden, Andrew, Carter\"\n5220,2013/06/05,I had pasta for lunch with Kayden,I had pasta for lunch with Kayden\n5221,2013/06/05,\"I had dinner with Kayden, Andrew, Carter, Emily. I ate tacos.\",\"I had dinner with Kayden, Andrew, Carter, Emily. I ate tacos.\"\n5222,2013/06/05,\"I talked to Claire, Layla for 33 minutes in the morning.\",\"I talked to Claire, Layla for 33 minutes in the morning.\"\n5223,2013/06/05,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n5224,2013/06/05,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n5225,2013/06/06,I did HIIT on 2013/06/06.,I did HIIT on 2013/06/06.\n5226,2013/06/06,I ate cereals for breakfast.,I ate cereals for breakfast.\n5227,2013/06/06,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n5228,2013/06/06,I spent 11 talking to Avery on various topics in the early afternoon.,I spent 11 talking to Avery on various topics in the early afternoon.\n5229,2013/06/06,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n5230,2013/06/06,I watched news for 51 minutes on TV today.,I watched news for 51 minutes on TV today.\n5231,2013/06/07,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n5232,2013/06/07,I talked to Kinsley for 38 minutes in the early afternoon.,I talked to Kinsley for 38 minutes in the early afternoon.\n5233,2013/06/07,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n5234,2013/06/07,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n5235,2013/06/08,I spent some time gardening on 2013/06/08.,I spent some time gardening on 2013/06/08.\n5236,2013/06/08,\"I bought some blackberries, clementines, guava, guava juice, apple juice, toothpaste from the grocery store. I saw Carter at the grocery store.\",\"I bought some blackberries, clementines, guava, guava juice, apple juice, toothpaste from the grocery store. I saw Carter at the grocery store.\"\n5237,2013/06/08,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n5238,2013/06/08,I talked to Lydia for 7 minutes in the late afternoon.,I talked to Lydia for 7 minutes in the late afternoon.\n5239,2013/06/08,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n5240,2013/06/09,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n5241,2013/06/09,\"I talked to Claire, Eva, Avery, Lydia for 21 minutes in the late afternoon.\",\"I talked to Claire, Eva, Avery, Lydia for 21 minutes in the late afternoon.\"\n5242,2013/06/09,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n5243,2013/06/10,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5244,2013/06/10,I talked to Lydia for 15 minutes in the morning.,I talked to Lydia for 15 minutes in the morning.\n5245,2013/06/10,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n5246,2013/06/11,I did running on 2013/06/11.,I did running on 2013/06/11.\n5247,2013/06/11,\"I talked to Rylee, Avery, Piper, Eva for 10 minutes in the late afternoon.\",\"I talked to Rylee, Avery, Piper, Eva for 10 minutes in the late afternoon.\"\n5248,2013/06/11,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n5249,2013/06/11,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n5250,2013/06/12,I ate cereals for breakfast.,I ate cereals for breakfast.\n5251,2013/06/12,I spent 15 minutes watching a documentary on TV today.,I spent 15 minutes watching a documentary on TV today.\n5252,2013/06/13,I did biking on 2013/06/13.,I did biking on 2013/06/13.\n5253,2013/06/13,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n5254,2013/06/13,I spent 31 talking to Olivia on various topics late in the evening.,I spent 31 talking to Olivia on various topics late in the evening.\n5255,2013/06/13,I talked to Eva for 20 minutes late in the evening.,I talked to Eva for 20 minutes late in the evening.\n5256,2013/06/13,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n5257,2013/06/13,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n5258,2013/06/14,I did biking on 2013/06/14.,I did biking on 2013/06/14.\n5259,2013/06/14,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n5260,2013/06/14,\"I had steak for dinner with Avery, Jackson, Willow\",\"I had steak for dinner with Avery, Jackson, Willow\"\n5261,2013/06/14,\"I spent 9 talking to Nora, Hazel on various topics in the late afternoon.\",\"I spent 9 talking to Nora, Hazel on various topics in the late afternoon.\"\n5262,2013/06/14,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n5263,2013/06/15,I did swimming on 2013/06/15.,I did swimming on 2013/06/15.\n5264,2013/06/15,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n5265,2013/06/15,I talked to Rylee for 50 minutes during lunch hours.,I talked to Rylee for 50 minutes during lunch hours.\n5266,2013/06/15,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n5267,2013/06/16,I did biking on 2013/06/16.,I did biking on 2013/06/16.\n5268,2013/06/16,\"I talked to Nora, Hazel, Eva for 31 minutes in the late afternoon.\",\"I talked to Nora, Hazel, Eva for 31 minutes in the late afternoon.\"\n5269,2013/06/16,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n5270,2013/06/17,\"I bought some peaches, milk, guava juice, facial wash online.\",\"I bought some peaches, milk, guava juice, facial wash online.\"\n5271,2013/06/17,I ate pasta for lunch.,I ate pasta for lunch.\n5272,2013/06/17,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n5273,2013/06/18,I did swimming on 2013/06/18.,I did swimming on 2013/06/18.\n5274,2013/06/18,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n5275,2013/06/18,\"I spent 40 talking to Nora, Piper, Olivia on various topics in the late afternoon.\",\"I spent 40 talking to Nora, Piper, Olivia on various topics in the late afternoon.\"\n5276,2013/06/18,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n5277,2013/06/19,I did weight lifting on 2013/06/19.,I did weight lifting on 2013/06/19.\n5278,2013/06/19,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n5279,2013/06/19,\"I had lunch with Emily, Kayden. I ate steak.\",\"I had lunch with Emily, Kayden. I ate steak.\"\n5280,2013/06/19,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n5281,2013/06/19,I spent 34 talking to Nora on various topics in the morning.,I spent 34 talking to Nora on various topics in the morning.\n5282,2013/06/19,\"I spent 9 talking to Lydia, Olivia, Avery on various topics in the early evening.\",\"I spent 9 talking to Lydia, Olivia, Avery on various topics in the early evening.\"\n5283,2013/06/20,I did running on 2013/06/20.,I did running on 2013/06/20.\n5284,2013/06/20,I had fish and chips for lunch with Emily,I had fish and chips for lunch with Emily\n5285,2013/06/20,\"I had pasta for dinner with Kayden, Andrew, Carter, Emily\",\"I had pasta for dinner with Kayden, Andrew, Carter, Emily\"\n5286,2013/06/20,\"I spent 33 talking to Layla, Avery, Piper on various topics during lunch hours.\",\"I spent 33 talking to Layla, Avery, Piper on various topics during lunch hours.\"\n5287,2013/06/20,\"I talked to Avery, Piper, Lydia for 17 minutes during lunch hours.\",\"I talked to Avery, Piper, Lydia for 17 minutes during lunch hours.\"\n5288,2013/06/20,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n5289,2013/06/21,\"I had breakfast with Lydia, Olivia, Rylee, Hazel, Layla, Kinsley, Avery, Nevaeh. I ate eggs, sausages, and bread.\",\"I had breakfast with Lydia, Olivia, Rylee, Hazel, Layla, Kinsley, Avery, Nevaeh. I ate eggs, sausages, and bread.\"\n5290,2013/06/21,\"I had lunch with Rylee, Avery, Layla. I ate fish and chips.\",\"I had lunch with Rylee, Avery, Layla. I ate fish and chips.\"\n5291,2013/06/21,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n5292,2013/06/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n5293,2013/06/22,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n5294,2013/06/23,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n5295,2013/06/23,I prepare steak for dinner.,I prepare steak for dinner.\n5296,2013/06/23,\"I spent 18 talking to Kinsley, Nevaeh on various topics in the early evening.\",\"I spent 18 talking to Kinsley, Nevaeh on various topics in the early evening.\"\n5297,2013/06/23,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n5298,2013/06/24,\"I spent 48 talking to Rylee, Nora, Eva on various topics in the late afternoon.\",\"I spent 48 talking to Rylee, Nora, Eva on various topics in the late afternoon.\"\n5299,2013/06/24,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n5300,2013/06/25,I did biking on 2013/06/25.,I did biking on 2013/06/25.\n5301,2013/06/25,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n5302,2013/06/25,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n5303,2013/06/26,I went for an annual vision checkup on 2013/06/26 at the hospital.,I went for an annual vision checkup on 2013/06/26 at the hospital.\n5304,2013/06/26,I did running on 2013/06/26.,I did running on 2013/06/26.\n5305,2013/06/26,I ate tacos for lunch.,I ate tacos for lunch.\n5306,2013/06/26,I had sandwich for dinner with Avery,I had sandwich for dinner with Avery\n5307,2013/06/26,I talked to Rylee for 31 minutes in the morning.,I talked to Rylee for 31 minutes in the morning.\n5308,2013/06/27,\"I talked to Avery, Eva, Nora, Rylee for 22 minutes in the morning.\",\"I talked to Avery, Eva, Nora, Rylee for 22 minutes in the morning.\"\n5309,2013/06/27,I talked to Claire for 27 minutes in the early afternoon.,I talked to Claire for 27 minutes in the early afternoon.\n5310,2013/06/28,I ate chinese food for lunch.,I ate chinese food for lunch.\n5311,2013/06/28,\"I had dinner with Olivia, Piper, Hazel, Eva, Avery, Layla, Nora, Claire, Piper, Kinsley, Rylee, Lydia, Nevaeh. I ate a burger.\",\"I had dinner with Olivia, Piper, Hazel, Eva, Avery, Layla, Nora, Claire, Piper, Kinsley, Rylee, Lydia, Nevaeh. I ate a burger.\"\n5312,2013/06/28,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n5313,2013/06/28,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n5314,2013/06/29,\"On 2013/06/29, I took Cooper on a date to a park\",\"On 2013/06/29, I took Cooper on a date to a park\"\n5315,2013/06/29,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n5316,2013/06/29,\"I had tacos for lunch with Emily, Andrew, Kayden\",\"I had tacos for lunch with Emily, Andrew, Kayden\"\n5317,2013/06/29,\"I had sandwich for dinner with Eva, Olivia, Nora, Avery, Lydia, Piper, Claire, Kinsley\",\"I had sandwich for dinner with Eva, Olivia, Nora, Avery, Lydia, Piper, Claire, Kinsley\"\n5318,2013/06/30,\"I bought some mangos, pears, nectarines, pineapple juice, apple juice, paper towel, toothbrush online.\",\"I bought some mangos, pears, nectarines, pineapple juice, apple juice, paper towel, toothbrush online.\"\n5319,2013/06/30,I did hiking on 2013/06/30.,I did hiking on 2013/06/30.\n5320,2013/06/30,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5321,2013/06/30,\"I had sushi for dinner with Piper, Hazel, Kinsley, Piper, Claire\",\"I had sushi for dinner with Piper, Hazel, Kinsley, Piper, Claire\"\n5322,2013/06/30,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n5323,2013/07/01,I did running on 2013/07/01.,I did running on 2013/07/01.\n5324,2013/07/01,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5325,2013/07/01,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n5326,2013/07/01,\"I talked to Nevaeh, Lydia for 6 minutes in the early evening.\",\"I talked to Nevaeh, Lydia for 6 minutes in the early evening.\"\n5327,2013/07/02,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5328,2013/07/02,\"I had tacos for lunch with Jackson, Avery, Benjamin, Willow\",\"I had tacos for lunch with Jackson, Avery, Benjamin, Willow\"\n5329,2013/07/02,\"I had indian food for dinner with Olivia, Kinsley, Lydia, Eva, Claire, Rylee, Hazel, Avery, Layla, Nora\",\"I had indian food for dinner with Olivia, Kinsley, Lydia, Eva, Claire, Rylee, Hazel, Avery, Layla, Nora\"\n5330,2013/07/02,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n5331,2013/07/02,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n5332,2013/07/03,I did swimming on 2013/07/03.,I did swimming on 2013/07/03.\n5333,2013/07/04,\"I bought some cherres, mango juice, sports drinks, orange juice, body lotion online.\",\"I bought some cherres, mango juice, sports drinks, orange juice, body lotion online.\"\n5334,2013/07/04,\"I had breakfast with Olivia, Piper, Eva, Hazel, Lydia, Nora, Kinsley, Claire, Piper, Avery. I ate oatmeal.\",\"I had breakfast with Olivia, Piper, Eva, Hazel, Lydia, Nora, Kinsley, Claire, Piper, Avery. I ate oatmeal.\"\n5335,2013/07/04,I ate indian food for dinner.,I ate indian food for dinner.\n5336,2013/07/05,\"I bought some apples, soda, sports drinks, apple juice, orange juice, toothpaste from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\",\"I bought some apples, soda, sports drinks, apple juice, orange juice, toothpaste from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\"\n5337,2013/07/05,I did running on 2013/07/05.,I did running on 2013/07/05.\n5338,2013/07/05,\"I had breakfast with Claire, Kinsley, Nevaeh, Piper, Avery, Piper, Eva, Lydia, Nora, Olivia, Rylee, Layla. I ate oatmeal.\",\"I had breakfast with Claire, Kinsley, Nevaeh, Piper, Avery, Piper, Eva, Lydia, Nora, Olivia, Rylee, Layla. I ate oatmeal.\"\n5339,2013/07/05,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n5340,2013/07/05,I prepare tacos for dinner.,I prepare tacos for dinner.\n5341,2013/07/05,\"I spent 8 talking to Avery, Piper on various topics in the morning.\",\"I spent 8 talking to Avery, Piper on various topics in the morning.\"\n5342,2013/07/05,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n5343,2013/07/05,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n5344,2013/07/06,I did hiking on 2013/07/06.,I did hiking on 2013/07/06.\n5345,2013/07/06,\"I had breakfast with Emily, Andrew, Kayden. I ate toast and cheese.\",\"I had breakfast with Emily, Andrew, Kayden. I ate toast and cheese.\"\n5346,2013/07/06,\"I had sandwich for lunch with Carter, Kayden\",\"I had sandwich for lunch with Carter, Kayden\"\n5347,2013/07/06,\"I spent 14 talking to Piper, Claire, Nora on various topics in the morning.\",\"I spent 14 talking to Piper, Claire, Nora on various topics in the morning.\"\n5348,2013/07/06,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n5349,2013/07/06,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n5350,2013/07/07,I did running on 2013/07/07.,I did running on 2013/07/07.\n5351,2013/07/07,I ate indian food for dinner.,I ate indian food for dinner.\n5352,2013/07/07,\"I talked to Avery, Lydia, Olivia for 38 minutes in the late afternoon.\",\"I talked to Avery, Lydia, Olivia for 38 minutes in the late afternoon.\"\n5353,2013/07/07,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n5354,2013/07/08,I did hiking on 2013/07/08.,I did hiking on 2013/07/08.\n5355,2013/07/08,I prepare pasta for lunch.,I prepare pasta for lunch.\n5356,2013/07/08,\"I spent 13 talking to Claire, Hazel, Layla, Rylee on various topics in the late afternoon.\",\"I spent 13 talking to Claire, Hazel, Layla, Rylee on various topics in the late afternoon.\"\n5357,2013/07/09,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n5358,2013/07/09,\"I had chinese food for lunch with Willow, Benjamin\",\"I had chinese food for lunch with Willow, Benjamin\"\n5359,2013/07/09,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n5360,2013/07/10,\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate toast and cheese.\",\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate toast and cheese.\"\n5361,2013/07/10,\"I talked to Rylee, Piper, Piper for 14 minutes in the early evening.\",\"I talked to Rylee, Piper, Piper for 14 minutes in the early evening.\"\n5362,2013/07/10,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n5363,2013/07/11,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5364,2013/07/12,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n5365,2013/07/12,\"I had lunch with Carter, Kayden, Andrew. I ate fish and chips.\",\"I had lunch with Carter, Kayden, Andrew. I ate fish and chips.\"\n5366,2013/07/12,\"I spent 46 talking to Avery, Lydia, Nora on various topics late in the evening.\",\"I spent 46 talking to Avery, Lydia, Nora on various topics late in the evening.\"\n5367,2013/07/12,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n5368,2013/07/13,I did weight lifting on 2013/07/13.,I did weight lifting on 2013/07/13.\n5369,2013/07/13,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n5370,2013/07/13,\"I talked to Piper, Hazel for 19 minutes in the early afternoon.\",\"I talked to Piper, Hazel for 19 minutes in the early afternoon.\"\n5371,2013/07/13,\"I talked to Hazel, Eva for 39 minutes in the late afternoon.\",\"I talked to Hazel, Eva for 39 minutes in the late afternoon.\"\n5372,2013/07/13,I watched news for 29 minutes on TV today.,I watched news for 29 minutes on TV today.\n5373,2013/07/14,I did biking on 2013/07/14.,I did biking on 2013/07/14.\n5374,2013/07/14,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n5375,2013/07/14,I had steak for dinner with Andrew,I had steak for dinner with Andrew\n5376,2013/07/14,\"I spent 46 talking to Claire, Hazel, Eva on various topics in the morning.\",\"I spent 46 talking to Claire, Hazel, Eva on various topics in the morning.\"\n5377,2013/07/14,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n5378,2013/07/15,I did weight lifting on 2013/07/15.,I did weight lifting on 2013/07/15.\n5379,2013/07/15,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5380,2013/07/15,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n5381,2013/07/16,I went on a date with Aiden on 2013/07/16 at a park,I went on a date with Aiden on 2013/07/16 at a park\n5382,2013/07/16,I did hiking on 2013/07/16.,I did hiking on 2013/07/16.\n5383,2013/07/16,\"I had fish and chips for lunch with Layla, Kinsley, Piper, Lydia, Rylee, Piper, Olivia, Claire\",\"I had fish and chips for lunch with Layla, Kinsley, Piper, Lydia, Rylee, Piper, Olivia, Claire\"\n5384,2013/07/16,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n5385,2013/07/16,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n5386,2013/07/17,I did hiking on 2013/07/17.,I did hiking on 2013/07/17.\n5387,2013/07/17,\"I had steak for dinner with Kayden, Carter\",\"I had steak for dinner with Kayden, Carter\"\n5388,2013/07/17,\"I spent 19 talking to Lydia, Nevaeh on various topics in the early afternoon.\",\"I spent 19 talking to Lydia, Nevaeh on various topics in the early afternoon.\"\n5389,2013/07/17,I talked to Nora for 29 minutes in the early evening.,I talked to Nora for 29 minutes in the early evening.\n5390,2013/07/17,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n5391,2013/07/18,\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate pancakes.\",\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate pancakes.\"\n5392,2013/07/18,\"I had dinner with Nora, Lydia, Olivia, Piper. I ate sandwich.\",\"I had dinner with Nora, Lydia, Olivia, Piper. I ate sandwich.\"\n5393,2013/07/18,\"I talked to Olivia, Nora, Hazel for 32 minutes in the early evening.\",\"I talked to Olivia, Nora, Hazel for 32 minutes in the early evening.\"\n5394,2013/07/18,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n5395,2013/07/19,I went on a date with Theodore on 2013/07/19 at a boba shop,I went on a date with Theodore on 2013/07/19 at a boba shop\n5396,2013/07/19,\"I went grocery shopping. I bought some nectarines, blackberries, chocolate milk, and toothpaste, facial wash\",\"I went grocery shopping. I bought some nectarines, blackberries, chocolate milk, and toothpaste, facial wash\"\n5397,2013/07/19,I prepare sushi for dinner.,I prepare sushi for dinner.\n5398,2013/07/19,\"I spent 6 talking to Nora, Nevaeh, Piper on various topics during lunch hours.\",\"I spent 6 talking to Nora, Nevaeh, Piper on various topics during lunch hours.\"\n5399,2013/07/19,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n5400,2013/07/20,I spent 28 talking to Lydia on various topics in the early evening.,I spent 28 talking to Lydia on various topics in the early evening.\n5401,2013/07/20,I spent 41 minutes watching a movie on TV today.,I spent 41 minutes watching a movie on TV today.\n5402,2013/07/21,I did running on 2013/07/21.,I did running on 2013/07/21.\n5403,2013/07/21,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n5404,2013/07/21,I ate chinese food for lunch.,I ate chinese food for lunch.\n5405,2013/07/21,\"I talked to Eva, Kinsley, Hazel for 42 minutes in the early evening.\",\"I talked to Eva, Kinsley, Hazel for 42 minutes in the early evening.\"\n5406,2013/07/21,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n5407,2013/07/22,\"I talked to Piper, Lydia, Avery, Olivia for 8 minutes in the early afternoon.\",\"I talked to Piper, Lydia, Avery, Olivia for 8 minutes in the early afternoon.\"\n5408,2013/07/22,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n5409,2013/07/23,I did hiking on 2013/07/23.,I did hiking on 2013/07/23.\n5410,2013/07/23,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n5411,2013/07/23,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n5412,2013/07/24,I did hiking on 2013/07/24.,I did hiking on 2013/07/24.\n5413,2013/07/24,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n5414,2013/07/24,I ate a burger for lunch.,I ate a burger for lunch.\n5415,2013/07/24,\"I spent 40 talking to Layla, Nevaeh, Eva on various topics late in the evening.\",\"I spent 40 talking to Layla, Nevaeh, Eva on various topics late in the evening.\"\n5416,2013/07/25,\"I went grocery shopping. I bought some blackberries, pears, watermelons, peaches, chocolate milk, mineral water, milk, tea, and paper towel\",\"I went grocery shopping. I bought some blackberries, pears, watermelons, peaches, chocolate milk, mineral water, milk, tea, and paper towel\"\n5417,2013/07/25,I did swimming on 2013/07/25.,I did swimming on 2013/07/25.\n5418,2013/07/25,\"I talked to Nora, Claire, Rylee, Lydia for 35 minutes late in the evening.\",\"I talked to Nora, Claire, Rylee, Lydia for 35 minutes late in the evening.\"\n5419,2013/07/25,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n5420,2013/07/25,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n5421,2013/07/26,I did swimming on 2013/07/26.,I did swimming on 2013/07/26.\n5422,2013/07/26,\"I spent 30 talking to Claire, Piper on various topics late in the evening.\",\"I spent 30 talking to Claire, Piper on various topics late in the evening.\"\n5423,2013/07/26,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n5424,2013/07/27,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n5425,2013/07/27,I had lunch with Willow. I ate fish and chips.,I had lunch with Willow. I ate fish and chips.\n5426,2013/07/27,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n5427,2013/07/27,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n5428,2013/07/28,I did weight lifting on 2013/07/28.,I did weight lifting on 2013/07/28.\n5429,2013/07/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n5430,2013/07/28,\"I had a burger for dinner with Emily, Kayden\",\"I had a burger for dinner with Emily, Kayden\"\n5431,2013/07/28,I talked to Piper for 55 minutes late in the evening.,I talked to Piper for 55 minutes late in the evening.\n5432,2013/07/28,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n5433,2013/07/29,\"I went grocery shopping. I bought some peaches, watermelons, guava juice, apple juice, and mouthwash, toilet paper, paper towel, toothpaste\",\"I went grocery shopping. I bought some peaches, watermelons, guava juice, apple juice, and mouthwash, toilet paper, paper towel, toothpaste\"\n5434,2013/07/29,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n5435,2013/07/30,I really enjoyed meditation on 2013/07/30,I really enjoyed meditation on 2013/07/30\n5436,2013/07/30,\"I bought some oranges, orange juice, tea, shampoo, body lotion from the grocery store. I saw Kinsley, Olivia, Hazel, Piper, Avery, Lydia, Layla, Rylee, Nora, Piper, Eva at the grocery store.\",\"I bought some oranges, orange juice, tea, shampoo, body lotion from the grocery store. I saw Kinsley, Olivia, Hazel, Piper, Avery, Lydia, Layla, Rylee, Nora, Piper, Eva at the grocery store.\"\n5437,2013/07/30,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n5438,2013/07/30,I ate chinese food for lunch.,I ate chinese food for lunch.\n5439,2013/07/30,\"I talked to Piper, Piper, Rylee for 11 minutes in the early evening.\",\"I talked to Piper, Piper, Rylee for 11 minutes in the early evening.\"\n5440,2013/07/30,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n5441,2013/07/31,\"I had breakfast with Lydia, Nora, Avery, Kinsley, Olivia, Nevaeh, Rylee, Eva, Hazel. I ate eggs, sausages, and bread.\",\"I had breakfast with Lydia, Nora, Avery, Kinsley, Olivia, Nevaeh, Rylee, Eva, Hazel. I ate eggs, sausages, and bread.\"\n5442,2013/07/31,\"I had lunch with Emily, Andrew. I ate steak.\",\"I had lunch with Emily, Andrew. I ate steak.\"\n5443,2013/07/31,\"I had indian food for dinner with Rylee, Avery, Nora\",\"I had indian food for dinner with Rylee, Avery, Nora\"\n5444,2013/07/31,\"I talked to Lydia, Rylee, Nora for 14 minutes during lunch hours.\",\"I talked to Lydia, Rylee, Nora for 14 minutes during lunch hours.\"\n5445,2013/07/31,\"I spent 20 talking to Lydia, Eva on various topics in the early evening.\",\"I spent 20 talking to Lydia, Eva on various topics in the early evening.\"\n5446,2013/07/31,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n5447,2013/08/01,I went on a date with Leilani on 2013/08/01 at a boba shop,I went on a date with Leilani on 2013/08/01 at a boba shop\n5448,2013/08/01,I did weight lifting on 2013/08/01.,I did weight lifting on 2013/08/01.\n5449,2013/08/01,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n5450,2013/08/01,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n5451,2013/08/02,\"I had oatmeal for breakfast with Nevaeh, Avery, Piper, Kinsley, Piper, Layla, Eva, Nora, Claire, Lydia, Olivia, Hazel\",\"I had oatmeal for breakfast with Nevaeh, Avery, Piper, Kinsley, Piper, Layla, Eva, Nora, Claire, Lydia, Olivia, Hazel\"\n5452,2013/08/02,I ate sandwich for lunch.,I ate sandwich for lunch.\n5453,2013/08/02,\"I talked to Nevaeh, Hazel, Layla for 52 minutes late in the evening.\",\"I talked to Nevaeh, Hazel, Layla for 52 minutes late in the evening.\"\n5454,2013/08/02,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n5455,2013/08/03,\"I bought some apricots, apples, pineapples, watermelons, tea, milk, mouthwash, body lotion online.\",\"I bought some apricots, apples, pineapples, watermelons, tea, milk, mouthwash, body lotion online.\"\n5456,2013/08/03,I did swimming on 2013/08/03.,I did swimming on 2013/08/03.\n5457,2013/08/03,I ate tacos for lunch.,I ate tacos for lunch.\n5458,2013/08/03,I ate sandwich for dinner.,I ate sandwich for dinner.\n5459,2013/08/04,I ate indian food for lunch.,I ate indian food for lunch.\n5460,2013/08/04,\"I talked to Rylee, Eva, Layla, Lydia for 22 minutes in the early evening.\",\"I talked to Rylee, Eva, Layla, Lydia for 22 minutes in the early evening.\"\n5461,2013/08/04,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n5462,2013/08/05,I went on a date with Owen on 2013/08/05 at a park,I went on a date with Owen on 2013/08/05 at a park\n5463,2013/08/05,I did HIIT on 2013/08/05.,I did HIIT on 2013/08/05.\n5464,2013/08/05,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n5465,2013/08/05,\"I had lunch with Emily, Carter. I ate steak.\",\"I had lunch with Emily, Carter. I ate steak.\"\n5466,2013/08/05,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n5467,2013/08/05,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n5468,2013/08/05,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n5469,2013/08/06,\"I spent 35 talking to Claire, Nevaeh, Avery, Rylee on various topics in the early evening.\",\"I spent 35 talking to Claire, Nevaeh, Avery, Rylee on various topics in the early evening.\"\n5470,2013/08/06,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n5471,2013/08/07,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n5472,2013/08/07,I ate steak for lunch.,I ate steak for lunch.\n5473,2013/08/07,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n5474,2013/08/07,I talked to Piper for 16 minutes during lunch hours.,I talked to Piper for 16 minutes during lunch hours.\n5475,2013/08/07,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n5476,2013/08/08,I went on a date with Santiago  on 2013/08/08 at a coffee Shop,I went on a date with Santiago  on 2013/08/08 at a coffee Shop\n5477,2013/08/08,I ate tacos for lunch.,I ate tacos for lunch.\n5478,2013/08/08,I had dinner. I ate steak.,I had dinner. I ate steak.\n5479,2013/08/08,\"I talked to Kinsley, Piper, Avery for 49 minutes in the early afternoon.\",\"I talked to Kinsley, Piper, Avery for 49 minutes in the early afternoon.\"\n5480,2013/08/08,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n5481,2013/08/08,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n5482,2013/08/09,I did biking on 2013/08/09.,I did biking on 2013/08/09.\n5483,2013/08/09,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n5484,2013/08/09,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n5485,2013/08/10,\"I went grocery shopping. I bought some apples, guava juice, mango juice, and body lotion, shampoo, shaving cream, toothpaste\",\"I went grocery shopping. I bought some apples, guava juice, mango juice, and body lotion, shampoo, shaving cream, toothpaste\"\n5486,2013/08/10,I did swimming on 2013/08/10.,I did swimming on 2013/08/10.\n5487,2013/08/10,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n5488,2013/08/10,I talked to Piper for 43 minutes during lunch hours.,I talked to Piper for 43 minutes during lunch hours.\n5489,2013/08/10,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n5490,2013/08/10,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n5491,2013/08/11,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n5492,2013/08/11,\"I had lunch with Nevaeh, Claire, Olivia, Eva, Lydia, Hazel, Kinsley, Piper, Piper, Avery, Layla. I ate tacos.\",\"I had lunch with Nevaeh, Claire, Olivia, Eva, Lydia, Hazel, Kinsley, Piper, Piper, Avery, Layla. I ate tacos.\"\n5493,2013/08/11,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n5494,2013/08/12,I really enjoyed learning a language on 2013/08/12,I really enjoyed learning a language on 2013/08/12\n5495,2013/08/12,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n5496,2013/08/12,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n5497,2013/08/13,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n5498,2013/08/13,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n5499,2013/08/13,\"I talked to Rylee, Piper for 19 minutes in the early afternoon.\",\"I talked to Rylee, Piper for 19 minutes in the early afternoon.\"\n5500,2013/08/13,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n5501,2013/08/13,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n5502,2013/08/14,\"I had a burger for lunch with Rylee, Layla, Lydia, Nevaeh, Hazel, Claire, Eva\",\"I had a burger for lunch with Rylee, Layla, Lydia, Nevaeh, Hazel, Claire, Eva\"\n5503,2013/08/15,I did HIIT on 2013/08/15.,I did HIIT on 2013/08/15.\n5504,2013/08/15,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n5505,2013/08/16,I did HIIT on 2013/08/16.,I did HIIT on 2013/08/16.\n5506,2013/08/16,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n5507,2013/08/16,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n5508,2013/08/17,\"I bought some raspberries, mangos, bananas, guava, soda, toothpaste, body lotion online.\",\"I bought some raspberries, mangos, bananas, guava, soda, toothpaste, body lotion online.\"\n5509,2013/08/17,I talked to Lydia for 25 minutes in the early afternoon.,I talked to Lydia for 25 minutes in the early afternoon.\n5510,2013/08/17,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n5511,2013/08/18,I went on a date with Nova on 2013/08/18 at a boba shop,I went on a date with Nova on 2013/08/18 at a boba shop\n5512,2013/08/18,I did biking on 2013/08/18.,I did biking on 2013/08/18.\n5513,2013/08/18,\"I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread.\"\n5514,2013/08/18,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n5515,2013/08/19,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n5516,2013/08/19,I ate indian food for dinner.,I ate indian food for dinner.\n5517,2013/08/20,I did biking on 2013/08/20.,I did biking on 2013/08/20.\n5518,2013/08/20,I ate cereals for breakfast.,I ate cereals for breakfast.\n5519,2013/08/20,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n5520,2013/08/20,\"I talked to Lydia, Olivia, Nevaeh, Nora for 33 minutes during lunch hours.\",\"I talked to Lydia, Olivia, Nevaeh, Nora for 33 minutes during lunch hours.\"\n5521,2013/08/20,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n5522,2013/08/20,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n5523,2013/08/21,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n5524,2013/08/21,\"I had sandwich for lunch with Andrew, Carter\",\"I had sandwich for lunch with Andrew, Carter\"\n5525,2013/08/21,I ate sandwich for dinner.,I ate sandwich for dinner.\n5526,2013/08/21,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n5527,2013/08/22,I did weight lifting on 2013/08/22.,I did weight lifting on 2013/08/22.\n5528,2013/08/22,I ate pasta for dinner.,I ate pasta for dinner.\n5529,2013/08/22,I spent 44 talking to Lydia on various topics late in the evening.,I spent 44 talking to Lydia on various topics late in the evening.\n5530,2013/08/22,I spent 28 talking to Piper on various topics in the early evening.,I spent 28 talking to Piper on various topics in the early evening.\n5531,2013/08/23,\"I went grocery shopping. I bought some bananas, guava, nectarines, sports drinks, soda, apple juice, chocolate milk, and toilet paper\",\"I went grocery shopping. I bought some bananas, guava, nectarines, sports drinks, soda, apple juice, chocolate milk, and toilet paper\"\n5532,2013/08/23,I did weight lifting on 2013/08/23.,I did weight lifting on 2013/08/23.\n5533,2013/08/23,\"I spent 33 talking to Nora, Avery, Layla, Hazel on various topics in the early evening.\",\"I spent 33 talking to Nora, Avery, Layla, Hazel on various topics in the early evening.\"\n5534,2013/08/23,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n5535,2013/08/23,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n5536,2013/08/24,I did swimming on 2013/08/24.,I did swimming on 2013/08/24.\n5537,2013/08/24,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n5538,2013/08/24,\"I spent 23 talking to Lydia, Avery, Nevaeh on various topics during lunch hours.\",\"I spent 23 talking to Lydia, Avery, Nevaeh on various topics during lunch hours.\"\n5539,2013/08/24,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n5540,2013/08/25,\"I had cereals for breakfast with Carter, Andrew\",\"I had cereals for breakfast with Carter, Andrew\"\n5541,2013/08/25,I prepare pasta for lunch.,I prepare pasta for lunch.\n5542,2013/08/25,\"I spent 20 talking to Nevaeh, Hazel, Piper, Avery on various topics in the early afternoon.\",\"I spent 20 talking to Nevaeh, Hazel, Piper, Avery on various topics in the early afternoon.\"\n5543,2013/08/25,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n5544,2013/08/26,I did hiking on 2013/08/26.,I did hiking on 2013/08/26.\n5545,2013/08/26,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n5546,2013/08/26,\"I had tacos for dinner with Avery, Benjamin, Jackson\",\"I had tacos for dinner with Avery, Benjamin, Jackson\"\n5547,2013/08/26,\"I spent 24 talking to Eva, Rylee, Claire, Olivia on various topics in the morning.\",\"I spent 24 talking to Eva, Rylee, Claire, Olivia on various topics in the morning.\"\n5548,2013/08/26,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n5549,2013/08/26,I watched news for 36 minutes on TV today.,I watched news for 36 minutes on TV today.\n5550,2013/08/27,\"I had steak for lunch with Carter, Emily, Kayden, Andrew\",\"I had steak for lunch with Carter, Emily, Kayden, Andrew\"\n5551,2013/08/27,I ate pasta for dinner.,I ate pasta for dinner.\n5552,2013/08/27,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n5553,2013/08/28,I went on a date with Michael on 2013/08/28 at a coffee Shop,I went on a date with Michael on 2013/08/28 at a coffee Shop\n5554,2013/08/28,\"I talked to Kinsley, Rylee, Lydia, Avery for 26 minutes during lunch hours.\",\"I talked to Kinsley, Rylee, Lydia, Avery for 26 minutes during lunch hours.\"\n5555,2013/08/28,\"I spent 40 talking to Hazel, Kinsley on various topics in the early evening.\",\"I spent 40 talking to Hazel, Kinsley on various topics in the early evening.\"\n5556,2013/08/28,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n5557,2013/08/28,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n5558,2013/08/29,I did swimming on 2013/08/29.,I did swimming on 2013/08/29.\n5559,2013/08/29,\"I had pasta for lunch with Carter, Emily, Kayden, Andrew\",\"I had pasta for lunch with Carter, Emily, Kayden, Andrew\"\n5560,2013/08/29,\"I spent 39 talking to Layla, Eva on various topics in the early evening.\",\"I spent 39 talking to Layla, Eva on various topics in the early evening.\"\n5561,2013/08/29,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n5562,2013/08/30,I prepare sushi for lunch.,I prepare sushi for lunch.\n5563,2013/08/30,I ate steak for dinner.,I ate steak for dinner.\n5564,2013/08/31,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n5565,2013/08/31,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n5566,2013/08/31,\"I had dinner with Emily, Kayden, Andrew, Carter. I ate fish and chips.\",\"I had dinner with Emily, Kayden, Andrew, Carter. I ate fish and chips.\"\n5567,2013/09/01,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n5568,2013/09/01,\"I talked to Piper, Claire for 21 minutes in the early evening.\",\"I talked to Piper, Claire for 21 minutes in the early evening.\"\n5569,2013/09/01,\"I talked to Eva, Hazel for 54 minutes in the late afternoon.\",\"I talked to Eva, Hazel for 54 minutes in the late afternoon.\"\n5570,2013/09/01,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n5571,2013/09/01,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n5572,2013/09/02,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n5573,2013/09/02,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n5574,2013/09/02,I talked to Hazel for 45 minutes in the late afternoon.,I talked to Hazel for 45 minutes in the late afternoon.\n5575,2013/09/02,I talked to Nora for 17 minutes in the morning.,I talked to Nora for 17 minutes in the morning.\n5576,2013/09/02,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n5577,2013/09/03,\"I had dinner with Andrew, Emily, Carter, Kayden. I ate steak.\",\"I had dinner with Andrew, Emily, Carter, Kayden. I ate steak.\"\n5578,2013/09/03,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n5579,2013/09/03,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n5580,2013/09/04,I did weight lifting on 2013/09/04.,I did weight lifting on 2013/09/04.\n5581,2013/09/04,I had sandwich for lunch with Andrew,I had sandwich for lunch with Andrew\n5582,2013/09/04,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n5583,2013/09/05,I ate chinese food for lunch.,I ate chinese food for lunch.\n5584,2013/09/05,\"I had dinner with Piper, Eva, Olivia, Piper, Avery, Kinsley. I ate fish and chips.\",\"I had dinner with Piper, Eva, Olivia, Piper, Avery, Kinsley. I ate fish and chips.\"\n5585,2013/09/05,\"I talked to Lydia, Layla, Claire for 27 minutes in the late afternoon.\",\"I talked to Lydia, Layla, Claire for 27 minutes in the late afternoon.\"\n5586,2013/09/05,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n5587,2013/09/05,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n5588,2013/09/06,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n5589,2013/09/06,I prepare sushi for lunch.,I prepare sushi for lunch.\n5590,2013/09/06,I prepare a burger for dinner.,I prepare a burger for dinner.\n5591,2013/09/06,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n5592,2013/09/07,I did swimming on 2013/09/07.,I did swimming on 2013/09/07.\n5593,2013/09/07,I ate indian food for lunch.,I ate indian food for lunch.\n5594,2013/09/07,\"I talked to Nora, Nevaeh, Hazel, Avery for 36 minutes during lunch hours.\",\"I talked to Nora, Nevaeh, Hazel, Avery for 36 minutes during lunch hours.\"\n5595,2013/09/07,I talked to Piper for 34 minutes in the late afternoon.,I talked to Piper for 34 minutes in the late afternoon.\n5596,2013/09/07,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n5597,2013/09/08,\"I talked to Olivia, Nevaeh for 6 minutes in the early evening.\",\"I talked to Olivia, Nevaeh for 6 minutes in the early evening.\"\n5598,2013/09/08,I talked to Piper for 50 minutes in the late afternoon.,I talked to Piper for 50 minutes in the late afternoon.\n5599,2013/09/08,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n5600,2013/09/08,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n5601,2013/09/09,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n5602,2013/09/09,\"I had lunch with Avery, Benjamin, Willow. I ate fish and chips.\",\"I had lunch with Avery, Benjamin, Willow. I ate fish and chips.\"\n5603,2013/09/09,\"I had dinner with Andrew, Kayden. I ate tacos.\",\"I had dinner with Andrew, Kayden. I ate tacos.\"\n5604,2013/09/09,\"I talked to Piper, Lydia, Eva, Hazel for 35 minutes during lunch hours.\",\"I talked to Piper, Lydia, Eva, Hazel for 35 minutes during lunch hours.\"\n5605,2013/09/09,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n5606,2013/09/10,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n5607,2013/09/10,I talked to Hazel for 42 minutes in the early afternoon.,I talked to Hazel for 42 minutes in the early afternoon.\n5608,2013/09/11,\"I talked to Nevaeh, Piper for 51 minutes in the early evening.\",\"I talked to Nevaeh, Piper for 51 minutes in the early evening.\"\n5609,2013/09/12,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n5610,2013/09/12,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n5611,2013/09/13,I did biking on 2013/09/13.,I did biking on 2013/09/13.\n5612,2013/09/13,\"I had breakfast with Kayden, Andrew, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Andrew, Emily. I ate peanut-butter-jam.\"\n5613,2013/09/13,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n5614,2013/09/13,\"I spent 50 talking to Kinsley, Avery on various topics in the morning.\",\"I spent 50 talking to Kinsley, Avery on various topics in the morning.\"\n5615,2013/09/13,\"I talked to Claire, Eva, Nevaeh, Nora for 29 minutes in the late afternoon.\",\"I talked to Claire, Eva, Nevaeh, Nora for 29 minutes in the late afternoon.\"\n5616,2013/09/13,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n5617,2013/09/13,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n5618,2013/09/14,\"I had tacos for lunch with Nevaeh, Lydia, Kinsley, Piper, Eva\",\"I had tacos for lunch with Nevaeh, Lydia, Kinsley, Piper, Eva\"\n5619,2013/09/14,I had dinner. I ate steak.,I had dinner. I ate steak.\n5620,2013/09/14,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n5621,2013/09/15,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n5622,2013/09/15,\"I had pasta for dinner with Avery, Jackson, Willow\",\"I had pasta for dinner with Avery, Jackson, Willow\"\n5623,2013/09/15,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n5624,2013/09/16,\"On 2013/09/16, I took Adam on a date to a park\",\"On 2013/09/16, I took Adam on a date to a park\"\n5625,2013/09/16,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n5626,2013/09/16,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n5627,2013/09/17,\"I spent time working out on 2013/09/17 with Benjamin, Jackson.\",\"I spent time working out on 2013/09/17 with Benjamin, Jackson.\"\n5628,2013/09/17,I did HIIT on 2013/09/17.,I did HIIT on 2013/09/17.\n5629,2013/09/17,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n5630,2013/09/17,\"I spent 21 talking to Avery, Nevaeh on various topics late in the evening.\",\"I spent 21 talking to Avery, Nevaeh on various topics late in the evening.\"\n5631,2013/09/17,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n5632,2013/09/17,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n5633,2013/09/18,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n5634,2013/09/18,I prepare pasta for lunch.,I prepare pasta for lunch.\n5635,2013/09/19,I took my parents for their for an annual physical checkup on 2013/09/19 at the university hospital.,I took my parents for their for an annual physical checkup on 2013/09/19 at the university hospital.\n5636,2013/09/19,I did swimming on 2013/09/19.,I did swimming on 2013/09/19.\n5637,2013/09/19,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n5638,2013/09/19,\"I had sandwich for dinner with Claire, Nora, Piper, Piper, Nevaeh, Hazel, Olivia\",\"I had sandwich for dinner with Claire, Nora, Piper, Piper, Nevaeh, Hazel, Olivia\"\n5639,2013/09/19,\"I spent 49 talking to Layla, Claire on various topics in the early afternoon.\",\"I spent 49 talking to Layla, Claire on various topics in the early afternoon.\"\n5640,2013/09/19,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n5641,2013/09/20,\"I had indian food for lunch with Andrew, Kayden\",\"I had indian food for lunch with Andrew, Kayden\"\n5642,2013/09/20,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n5643,2013/09/20,I talked to Nevaeh for 41 minutes late in the evening.,I talked to Nevaeh for 41 minutes late in the evening.\n5644,2013/09/20,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n5645,2013/09/20,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n5646,2013/09/21,I ate indian food for lunch.,I ate indian food for lunch.\n5647,2013/09/21,\"I had dinner with Nora, Layla, Eva, Piper, Nevaeh, Rylee, Piper. I ate sushi.\",\"I had dinner with Nora, Layla, Eva, Piper, Nevaeh, Rylee, Piper. I ate sushi.\"\n5648,2013/09/21,\"I spent 21 talking to Rylee, Layla on various topics in the early afternoon.\",\"I spent 21 talking to Rylee, Layla on various topics in the early afternoon.\"\n5649,2013/09/21,I talked to Nora for 36 minutes in the morning.,I talked to Nora for 36 minutes in the morning.\n5650,2013/09/21,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n5651,2013/09/21,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n5652,2013/09/22,\"I went grocery shopping. I bought some oranges, peaches, pineapple juice, guava juice, orange juice, and body lotion, shampoo\",\"I went grocery shopping. I bought some oranges, peaches, pineapple juice, guava juice, orange juice, and body lotion, shampoo\"\n5653,2013/09/22,I did biking on 2013/09/22.,I did biking on 2013/09/22.\n5654,2013/09/22,\"I had breakfast with Carter, Andrew, Kayden. I ate pancakes.\",\"I had breakfast with Carter, Andrew, Kayden. I ate pancakes.\"\n5655,2013/09/22,I prepare steak for lunch.,I prepare steak for lunch.\n5656,2013/09/22,\"I talked to Hazel, Kinsley for 36 minutes in the late afternoon.\",\"I talked to Hazel, Kinsley for 36 minutes in the late afternoon.\"\n5657,2013/09/22,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n5658,2013/09/22,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n5659,2013/09/23,\"On 2013/09/23, I took Wesley on a date to a boba shop\",\"On 2013/09/23, I took Wesley on a date to a boba shop\"\n5660,2013/09/23,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n5661,2013/09/23,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n5662,2013/09/23,I ate pasta for dinner.,I ate pasta for dinner.\n5663,2013/09/23,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n5664,2013/09/23,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n5665,2013/09/24,I went on a date with Leah on 2013/09/24 at a boba shop,I went on a date with Leah on 2013/09/24 at a boba shop\n5666,2013/09/24,I did swimming on 2013/09/24.,I did swimming on 2013/09/24.\n5667,2013/09/24,I had lunch with Nora. I ate sushi.,I had lunch with Nora. I ate sushi.\n5668,2013/09/24,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n5669,2013/09/24,\"I spent 31 talking to Hazel, Nora on various topics in the early afternoon.\",\"I spent 31 talking to Hazel, Nora on various topics in the early afternoon.\"\n5670,2013/09/25,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n5671,2013/09/25,\"I talked to Piper, Lydia, Layla for 39 minutes in the early afternoon.\",\"I talked to Piper, Lydia, Layla for 39 minutes in the early afternoon.\"\n5672,2013/09/25,\"I talked to Eva, Hazel, Rylee for 55 minutes late in the evening.\",\"I talked to Eva, Hazel, Rylee for 55 minutes late in the evening.\"\n5673,2013/09/26,\"I had peanut-butter-jam for breakfast with Benjamin, Willow, Avery, Jackson\",\"I had peanut-butter-jam for breakfast with Benjamin, Willow, Avery, Jackson\"\n5674,2013/09/26,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n5675,2013/09/26,\"I spent 6 talking to Piper, Rylee, Kinsley, Lydia on various topics in the early evening.\",\"I spent 6 talking to Piper, Rylee, Kinsley, Lydia on various topics in the early evening.\"\n5676,2013/09/27,I did hiking on 2013/09/27.,I did hiking on 2013/09/27.\n5677,2013/09/27,\"I had sandwich for lunch with Olivia, Rylee, Kinsley, Piper, Nora, Nevaeh, Hazel, Lydia, Layla, Avery, Claire, Piper, Eva\",\"I had sandwich for lunch with Olivia, Rylee, Kinsley, Piper, Nora, Nevaeh, Hazel, Lydia, Layla, Avery, Claire, Piper, Eva\"\n5678,2013/09/27,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n5679,2013/09/28,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n5680,2013/09/28,I had lunch with Jackson. I ate sushi.,I had lunch with Jackson. I ate sushi.\n5681,2013/09/28,\"I talked to Kinsley, Piper, Eva, Layla for 54 minutes during lunch hours.\",\"I talked to Kinsley, Piper, Eva, Layla for 54 minutes during lunch hours.\"\n5682,2013/09/28,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n5683,2013/09/29,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n5684,2013/09/29,\"I spent 41 talking to Lydia, Piper on various topics in the early evening.\",\"I spent 41 talking to Lydia, Piper on various topics in the early evening.\"\n5685,2013/09/30,I did weight lifting on 2013/09/30.,I did weight lifting on 2013/09/30.\n5686,2013/09/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n5687,2013/09/30,I had lunch. I ate steak.,I had lunch. I ate steak.\n5688,2013/10/01,\"I went grocery shopping. I bought some oranges, guava, guava juice, and facial wash, shampoo, mouth wash, toothbrush\",\"I went grocery shopping. I bought some oranges, guava, guava juice, and facial wash, shampoo, mouth wash, toothbrush\"\n5689,2013/10/01,I had cereals for breakfast with Avery,I had cereals for breakfast with Avery\n5690,2013/10/01,I talked to Rylee for 15 minutes in the late afternoon.,I talked to Rylee for 15 minutes in the late afternoon.\n5691,2013/10/01,\"I spent 10 talking to Nora, Kinsley, Hazel on various topics in the late afternoon.\",\"I spent 10 talking to Nora, Kinsley, Hazel on various topics in the late afternoon.\"\n5692,2013/10/01,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n5693,2013/10/02,I did running on 2013/10/02.,I did running on 2013/10/02.\n5694,2013/10/02,\"I had sandwich for dinner with Emily, Carter, Kayden, Andrew\",\"I had sandwich for dinner with Emily, Carter, Kayden, Andrew\"\n5695,2013/10/03,I did hiking on 2013/10/03.,I did hiking on 2013/10/03.\n5696,2013/10/03,I ate cereals for breakfast.,I ate cereals for breakfast.\n5697,2013/10/03,I spent 47 talking to Layla on various topics in the morning.,I spent 47 talking to Layla on various topics in the morning.\n5698,2013/10/03,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n5699,2013/10/03,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n5700,2013/10/04,I did HIIT on 2013/10/04.,I did HIIT on 2013/10/04.\n5701,2013/10/04,I talked to Claire for 23 minutes during lunch hours.,I talked to Claire for 23 minutes during lunch hours.\n5702,2013/10/04,\"I spent 20 talking to Piper, Piper on various topics in the morning.\",\"I spent 20 talking to Piper, Piper on various topics in the morning.\"\n5703,2013/10/04,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n5704,2013/10/05,\"I spent 19 talking to Claire, Piper, Layla on various topics during lunch hours.\",\"I spent 19 talking to Claire, Piper, Layla on various topics during lunch hours.\"\n5705,2013/10/06,I ate sandwich for lunch.,I ate sandwich for lunch.\n5706,2013/10/06,\"I had tacos for dinner with Andrew, Kayden, Emily\",\"I had tacos for dinner with Andrew, Kayden, Emily\"\n5707,2013/10/07,I did running on 2013/10/07.,I did running on 2013/10/07.\n5708,2013/10/07,\"I had lunch with Carter, Emily, Andrew. I ate tacos.\",\"I had lunch with Carter, Emily, Andrew. I ate tacos.\"\n5709,2013/10/07,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n5710,2013/10/08,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n5711,2013/10/08,I ate chinese food for lunch.,I ate chinese food for lunch.\n5712,2013/10/08,\"I talked to Piper, Hazel for 40 minutes during lunch hours.\",\"I talked to Piper, Hazel for 40 minutes during lunch hours.\"\n5713,2013/10/08,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n5714,2013/10/09,\"I went grocery shopping. I bought some cherres, apricots, oranges, apple juice, orange juice, and conditioner, mouthwash, toilet paper\",\"I went grocery shopping. I bought some cherres, apricots, oranges, apple juice, orange juice, and conditioner, mouthwash, toilet paper\"\n5715,2013/10/09,I talked to Olivia for 27 minutes during lunch hours.,I talked to Olivia for 27 minutes during lunch hours.\n5716,2013/10/10,I did swimming on 2013/10/10.,I did swimming on 2013/10/10.\n5717,2013/10/10,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n5718,2013/10/10,I spent 41 talking to Layla on various topics in the early evening.,I spent 41 talking to Layla on various topics in the early evening.\n5719,2013/10/10,\"I spent 55 talking to Kinsley, Nora, Lydia, Eva on various topics in the late afternoon.\",\"I spent 55 talking to Kinsley, Nora, Lydia, Eva on various topics in the late afternoon.\"\n5720,2013/10/11,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n5721,2013/10/11,\"I spent 53 talking to Piper, Avery, Piper on various topics late in the evening.\",\"I spent 53 talking to Piper, Avery, Piper on various topics late in the evening.\"\n5722,2013/10/12,I had dinner with Avery. I ate a burger.,I had dinner with Avery. I ate a burger.\n5723,2013/10/13,\"I had breakfast with Kinsley, Lydia, Claire, Eva, Olivia, Nora, Piper, Rylee. I ate oatmeal.\",\"I had breakfast with Kinsley, Lydia, Claire, Eva, Olivia, Nora, Piper, Rylee. I ate oatmeal.\"\n5724,2013/10/13,\"I talked to Avery, Hazel for 26 minutes in the early evening.\",\"I talked to Avery, Hazel for 26 minutes in the early evening.\"\n5725,2013/10/14,I did hiking on 2013/10/14.,I did hiking on 2013/10/14.\n5726,2013/10/14,\"I had cereals for breakfast with Nora, Eva, Kinsley, Avery\",\"I had cereals for breakfast with Nora, Eva, Kinsley, Avery\"\n5727,2013/10/14,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n5728,2013/10/14,I prepare a burger for dinner.,I prepare a burger for dinner.\n5729,2013/10/15,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n5730,2013/10/16,\"I had pasta for lunch with Avery, Willow\",\"I had pasta for lunch with Avery, Willow\"\n5731,2013/10/16,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n5732,2013/10/17,\"I talked to Piper, Olivia, Avery for 31 minutes in the morning.\",\"I talked to Piper, Olivia, Avery for 31 minutes in the morning.\"\n5733,2013/10/17,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n5734,2013/10/18,I did running on 2013/10/18.,I did running on 2013/10/18.\n5735,2013/10/18,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n5736,2013/10/19,\"On 2013/10/19, I took Amelia on a date to a boba shop\",\"On 2013/10/19, I took Amelia on a date to a boba shop\"\n5737,2013/10/19,\"I had cereals for breakfast with Andrew, Carter, Emily, Kayden\",\"I had cereals for breakfast with Andrew, Carter, Emily, Kayden\"\n5738,2013/10/19,\"I had dinner with Kayden, Emily. I ate sandwich.\",\"I had dinner with Kayden, Emily. I ate sandwich.\"\n5739,2013/10/19,\"I talked to Eva, Kinsley for 18 minutes late in the evening.\",\"I talked to Eva, Kinsley for 18 minutes late in the evening.\"\n5740,2013/10/19,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n5741,2013/10/19,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n5742,2013/10/20,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n5743,2013/10/21,I spent time yoga on 2013/10/21 with Kayden.,I spent time yoga on 2013/10/21 with Kayden.\n5744,2013/10/21,\"I had breakfast with Kinsley, Lydia, Claire, Avery, Nevaeh, Olivia, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Kinsley, Lydia, Claire, Avery, Nevaeh, Olivia, Piper. I ate eggs, sausages, and bread.\"\n5745,2013/10/21,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n5746,2013/10/21,I had fish and chips for dinner with Kayden,I had fish and chips for dinner with Kayden\n5747,2013/10/22,\"On 2013/10/22, I took Nova on a date to a park\",\"On 2013/10/22, I took Nova on a date to a park\"\n5748,2013/10/22,\"I bought some mandarins, strawberries, pineapples, guava juice, milk, tea, paper towel, mouth wash from the grocery store. I saw Carter, Emily, Kayden, Andrew at the grocery store.\",\"I bought some mandarins, strawberries, pineapples, guava juice, milk, tea, paper towel, mouth wash from the grocery store. I saw Carter, Emily, Kayden, Andrew at the grocery store.\"\n5749,2013/10/22,I had lunch with Layla. I ate steak.,I had lunch with Layla. I ate steak.\n5750,2013/10/22,\"I spent 46 talking to Olivia, Rylee on various topics in the early afternoon.\",\"I spent 46 talking to Olivia, Rylee on various topics in the early afternoon.\"\n5751,2013/10/22,\"I talked to Nevaeh, Rylee, Piper, Avery for 6 minutes in the morning.\",\"I talked to Nevaeh, Rylee, Piper, Avery for 6 minutes in the morning.\"\n5752,2013/10/23,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n5753,2013/10/23,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n5754,2013/10/23,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n5755,2013/10/23,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n5756,2013/10/23,I watched news for 15 minutes on TV today.,I watched news for 15 minutes on TV today.\n5757,2013/10/24,I did hiking on 2013/10/24.,I did hiking on 2013/10/24.\n5758,2013/10/24,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n5759,2013/10/24,\"I talked to Layla, Piper, Lydia for 33 minutes during lunch hours.\",\"I talked to Layla, Piper, Lydia for 33 minutes during lunch hours.\"\n5760,2013/10/24,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n5761,2013/10/25,I did swimming on 2013/10/25.,I did swimming on 2013/10/25.\n5762,2013/10/25,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n5763,2013/10/25,\"I talked to Claire, Eva, Rylee, Layla for 26 minutes during lunch hours.\",\"I talked to Claire, Eva, Rylee, Layla for 26 minutes during lunch hours.\"\n5764,2013/10/25,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n5765,2013/10/26,I did running on 2013/10/26.,I did running on 2013/10/26.\n5766,2013/10/26,\"I had indian food for lunch with Avery, Nora, Rylee, Lydia, Hazel, Nevaeh, Claire, Kinsley, Piper, Piper, Olivia, Eva\",\"I had indian food for lunch with Avery, Nora, Rylee, Lydia, Hazel, Nevaeh, Claire, Kinsley, Piper, Piper, Olivia, Eva\"\n5767,2013/10/26,I had dinner. I ate steak.,I had dinner. I ate steak.\n5768,2013/10/26,\"I talked to Avery, Olivia, Nora, Rylee for 31 minutes in the late afternoon.\",\"I talked to Avery, Olivia, Nora, Rylee for 31 minutes in the late afternoon.\"\n5769,2013/10/26,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n5770,2013/10/27,\"I went grocery shopping with Kinsley, Hazel, Avery, Nora, Rylee, Layla. I bought some cherres, mangos, apples, watermelons, apple juice, pineapple juice, mineral water, coffee, and toothpaste\",\"I went grocery shopping with Kinsley, Hazel, Avery, Nora, Rylee, Layla. I bought some cherres, mangos, apples, watermelons, apple juice, pineapple juice, mineral water, coffee, and toothpaste\"\n5771,2013/10/27,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n5772,2013/10/27,\"I spent 16 talking to Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 16 talking to Nevaeh, Piper on various topics in the early afternoon.\"\n5773,2013/10/28,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n5774,2013/10/28,\"I spent 23 talking to Hazel, Olivia, Rylee on various topics in the morning.\",\"I spent 23 talking to Hazel, Olivia, Rylee on various topics in the morning.\"\n5775,2013/10/28,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n5776,2013/10/29,I did HIIT on 2013/10/29.,I did HIIT on 2013/10/29.\n5777,2013/10/29,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n5778,2013/10/29,I ate sandwich for lunch.,I ate sandwich for lunch.\n5779,2013/10/29,\"I talked to Avery, Layla for 28 minutes in the late afternoon.\",\"I talked to Avery, Layla for 28 minutes in the late afternoon.\"\n5780,2013/10/29,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n5781,2013/10/30,I did running on 2013/10/30.,I did running on 2013/10/30.\n5782,2013/10/30,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n5783,2013/10/30,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n5784,2013/10/31,I did HIIT on 2013/10/31.,I did HIIT on 2013/10/31.\n5785,2013/10/31,\"I talked to Piper, Rylee, Nevaeh, Olivia for 46 minutes in the late afternoon.\",\"I talked to Piper, Rylee, Nevaeh, Olivia for 46 minutes in the late afternoon.\"\n5786,2013/10/31,\"I spent 43 talking to Piper, Rylee on various topics in the early evening.\",\"I spent 43 talking to Piper, Rylee on various topics in the early evening.\"\n5787,2013/10/31,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n5788,2013/11/01,I did biking on 2013/11/01.,I did biking on 2013/11/01.\n5789,2013/11/01,\"I had breakfast with Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery. I ate eggs, sausages, and bread.\"\n5790,2013/11/01,\"I spent 8 talking to Eva, Nora, Olivia on various topics late in the evening.\",\"I spent 8 talking to Eva, Nora, Olivia on various topics late in the evening.\"\n5791,2013/11/02,\"On 2013/11/02, I took Eliana on a date to a park\",\"On 2013/11/02, I took Eliana on a date to a park\"\n5792,2013/11/02,\"I had dinner with Jackson, Avery, Willow, Benjamin. I ate sandwich.\",\"I had dinner with Jackson, Avery, Willow, Benjamin. I ate sandwich.\"\n5793,2013/11/02,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n5794,2013/11/03,I did weight lifting on 2013/11/03.,I did weight lifting on 2013/11/03.\n5795,2013/11/03,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n5796,2013/11/03,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n5797,2013/11/03,I prepare sushi for dinner.,I prepare sushi for dinner.\n5798,2013/11/03,\"I spent 37 talking to Piper, Olivia, Hazel, Layla on various topics during lunch hours.\",\"I spent 37 talking to Piper, Olivia, Hazel, Layla on various topics during lunch hours.\"\n5799,2013/11/03,\"I talked to Olivia, Eva, Nevaeh for 28 minutes during lunch hours.\",\"I talked to Olivia, Eva, Nevaeh for 28 minutes during lunch hours.\"\n5800,2013/11/04,I spent time meditation on 2013/11/04 with Carter.,I spent time meditation on 2013/11/04 with Carter.\n5801,2013/11/04,\"I went grocery shopping with Benjamin, Jackson, Willow, Avery. I bought some mangos, pears, cherres, guava juice, and toothpaste, facial wash, shaving cream, shampoo\",\"I went grocery shopping with Benjamin, Jackson, Willow, Avery. I bought some mangos, pears, cherres, guava juice, and toothpaste, facial wash, shaving cream, shampoo\"\n5802,2013/11/04,\"I talked to Claire, Nevaeh for 11 minutes in the early evening.\",\"I talked to Claire, Nevaeh for 11 minutes in the early evening.\"\n5803,2013/11/05,\"I had dinner with Kayden, Emily, Andrew. I ate a burger.\",\"I had dinner with Kayden, Emily, Andrew. I ate a burger.\"\n5804,2013/11/05,\"I spent 51 talking to Nevaeh, Claire on various topics in the late afternoon.\",\"I spent 51 talking to Nevaeh, Claire on various topics in the late afternoon.\"\n5805,2013/11/05,I talked to Avery for 49 minutes late in the evening.,I talked to Avery for 49 minutes late in the evening.\n5806,2013/11/05,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n5807,2013/11/06,I did weight lifting on 2013/11/06.,I did weight lifting on 2013/11/06.\n5808,2013/11/06,\"I had breakfast with Avery, Olivia, Layla, Eva, Claire. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Olivia, Layla, Eva, Claire. I ate peanut-butter-jam.\"\n5809,2013/11/06,I had pasta for lunch with Benjamin,I had pasta for lunch with Benjamin\n5810,2013/11/06,\"I had a burger for dinner with Kayden, Emily\",\"I had a burger for dinner with Kayden, Emily\"\n5811,2013/11/06,\"I spent 15 talking to Nora, Layla, Piper on various topics in the early evening.\",\"I spent 15 talking to Nora, Layla, Piper on various topics in the early evening.\"\n5812,2013/11/06,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n5813,2013/11/06,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n5814,2013/11/07,\"On 2013/11/07, I took Piper on a date to a park\",\"On 2013/11/07, I took Piper on a date to a park\"\n5815,2013/11/07,I did biking on 2013/11/07.,I did biking on 2013/11/07.\n5816,2013/11/07,I had pancakes for breakfast with Willow,I had pancakes for breakfast with Willow\n5817,2013/11/07,\"I had dinner with Carter, Emily, Kayden, Andrew. I ate sushi.\",\"I had dinner with Carter, Emily, Kayden, Andrew. I ate sushi.\"\n5818,2013/11/07,\"I talked to Rylee, Lydia, Hazel for 18 minutes in the morning.\",\"I talked to Rylee, Lydia, Hazel for 18 minutes in the morning.\"\n5819,2013/11/08,I did running on 2013/11/08.,I did running on 2013/11/08.\n5820,2013/11/08,\"I had breakfast with Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter. I ate eggs, sausages, and bread.\"\n5821,2013/11/08,\"I had lunch with Andrew, Carter, Emily. I ate indian food.\",\"I had lunch with Andrew, Carter, Emily. I ate indian food.\"\n5822,2013/11/08,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n5823,2013/11/08,\"I talked to Eva, Piper for 24 minutes in the early evening.\",\"I talked to Eva, Piper for 24 minutes in the early evening.\"\n5824,2013/11/08,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n5825,2013/11/08,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n5826,2013/11/09,I did biking on 2013/11/09.,I did biking on 2013/11/09.\n5827,2013/11/09,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n5828,2013/11/09,I had dinner with Piper. I ate tacos.,I had dinner with Piper. I ate tacos.\n5829,2013/11/09,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n5830,2013/11/10,I spent 21 talking to Kinsley on various topics late in the evening.,I spent 21 talking to Kinsley on various topics late in the evening.\n5831,2013/11/10,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n5832,2013/11/11,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n5833,2013/11/11,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n5834,2013/11/12,I did weight lifting on 2013/11/12.,I did weight lifting on 2013/11/12.\n5835,2013/11/12,\"I talked to Rylee, Claire for 48 minutes in the late afternoon.\",\"I talked to Rylee, Claire for 48 minutes in the late afternoon.\"\n5836,2013/11/12,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n5837,2013/11/13,\"I went grocery shopping. I bought some nectarines, bananas, blueberries, chocolate milk, mineral water, mango juice, and body lotion, mouth wash, shampoo\",\"I went grocery shopping. I bought some nectarines, bananas, blueberries, chocolate milk, mineral water, mango juice, and body lotion, mouth wash, shampoo\"\n5838,2013/11/13,I did biking on 2013/11/13.,I did biking on 2013/11/13.\n5839,2013/11/13,\"I talked to Layla, Olivia, Nevaeh for 31 minutes in the early afternoon.\",\"I talked to Layla, Olivia, Nevaeh for 31 minutes in the early afternoon.\"\n5840,2013/11/13,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n5841,2013/11/14,\"On 2013/11/14, I took Harper on a date to a restaurant\",\"On 2013/11/14, I took Harper on a date to a restaurant\"\n5842,2013/11/14,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n5843,2013/11/14,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n5844,2013/11/14,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n5845,2013/11/14,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n5846,2013/11/15,I did weight lifting on 2013/11/15.,I did weight lifting on 2013/11/15.\n5847,2013/11/15,\"I had toast and cheese for breakfast with Avery, Hazel, Nora, Claire, Eva, Olivia, Lydia, Kinsley\",\"I had toast and cheese for breakfast with Avery, Hazel, Nora, Claire, Eva, Olivia, Lydia, Kinsley\"\n5848,2013/11/15,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n5849,2013/11/16,I did swimming on 2013/11/16.,I did swimming on 2013/11/16.\n5850,2013/11/16,\"I had dinner with Kayden, Andrew, Emily, Carter. I ate a burger.\",\"I had dinner with Kayden, Andrew, Emily, Carter. I ate a burger.\"\n5851,2013/11/16,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n5852,2013/11/17,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n5853,2013/11/17,I ate sandwich for lunch.,I ate sandwich for lunch.\n5854,2013/11/17,I prepare indian food for dinner.,I prepare indian food for dinner.\n5855,2013/11/17,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n5856,2013/11/17,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n5857,2013/11/18,\"I went grocery shopping. I bought some mangos, oranges, guava juice, mineral water, tea, and body lotion, paper towel, toothpaste, mouthwash\",\"I went grocery shopping. I bought some mangos, oranges, guava juice, mineral water, tea, and body lotion, paper towel, toothpaste, mouthwash\"\n5858,2013/11/18,I did HIIT on 2013/11/18.,I did HIIT on 2013/11/18.\n5859,2013/11/18,\"I spent 43 talking to Hazel, Lydia on various topics during lunch hours.\",\"I spent 43 talking to Hazel, Lydia on various topics during lunch hours.\"\n5860,2013/11/18,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n5861,2013/11/19,I spent time gardening on 2013/11/19 with Claire.,I spent time gardening on 2013/11/19 with Claire.\n5862,2013/11/19,\"I bought some pineapples, apples, peaches, tea, apple juice, milk, shaving cream from the grocery store. I saw Willow, Benjamin, Jackson, Avery at the grocery store.\",\"I bought some pineapples, apples, peaches, tea, apple juice, milk, shaving cream from the grocery store. I saw Willow, Benjamin, Jackson, Avery at the grocery store.\"\n5863,2013/11/19,I did weight lifting on 2013/11/19.,I did weight lifting on 2013/11/19.\n5864,2013/11/19,\"I had lunch with Emily, Kayden. I ate a burger.\",\"I had lunch with Emily, Kayden. I ate a burger.\"\n5865,2013/11/19,\"I spent 40 talking to Kinsley, Hazel on various topics in the early evening.\",\"I spent 40 talking to Kinsley, Hazel on various topics in the early evening.\"\n5866,2013/11/19,I spent 54 talking to Rylee on various topics late in the evening.,I spent 54 talking to Rylee on various topics late in the evening.\n5867,2013/11/20,\"I had lunch with Carter, Andrew, Emily. I ate chinese food.\",\"I had lunch with Carter, Andrew, Emily. I ate chinese food.\"\n5868,2013/11/20,\"I had dinner with Kayden, Emily, Andrew, Carter. I ate a burger.\",\"I had dinner with Kayden, Emily, Andrew, Carter. I ate a burger.\"\n5869,2013/11/20,\"I talked to Layla, Piper, Lydia, Nevaeh for 23 minutes in the early evening.\",\"I talked to Layla, Piper, Lydia, Nevaeh for 23 minutes in the early evening.\"\n5870,2013/11/21,\"I had cereals for breakfast with Emily, Andrew, Kayden, Carter\",\"I had cereals for breakfast with Emily, Andrew, Kayden, Carter\"\n5871,2013/11/22,I spent some time yoga on 2013/11/22.,I spent some time yoga on 2013/11/22.\n5872,2013/11/22,\"I had lunch with Jackson, Avery. I ate indian food.\",\"I had lunch with Jackson, Avery. I ate indian food.\"\n5873,2013/11/22,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n5874,2013/11/22,\"I spent 24 talking to Lydia, Eva, Layla on various topics during lunch hours.\",\"I spent 24 talking to Lydia, Eva, Layla on various topics during lunch hours.\"\n5875,2013/11/22,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n5876,2013/11/23,\"I had lunch with Nevaeh, Kinsley, Rylee, Hazel, Lydia, Nora, Claire, Piper, Avery, Layla, Piper, Eva. I ate pasta.\",\"I had lunch with Nevaeh, Kinsley, Rylee, Hazel, Lydia, Nora, Claire, Piper, Avery, Layla, Piper, Eva. I ate pasta.\"\n5877,2013/11/23,\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\",\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\"\n5878,2013/11/23,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n5879,2013/11/23,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n5880,2013/11/24,I did hiking on 2013/11/24.,I did hiking on 2013/11/24.\n5881,2013/11/24,I prepare pasta for lunch.,I prepare pasta for lunch.\n5882,2013/11/24,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n5883,2013/11/24,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n5884,2013/11/25,I went for an annual physical checkup on 2013/11/25 at the hospital.,I went for an annual physical checkup on 2013/11/25 at the hospital.\n5885,2013/11/25,\"I went grocery shopping. I bought some blackberries, pineapple juice, coffee, tea, and mouth wash\",\"I went grocery shopping. I bought some blackberries, pineapple juice, coffee, tea, and mouth wash\"\n5886,2013/11/25,I did HIIT on 2013/11/25.,I did HIIT on 2013/11/25.\n5887,2013/11/25,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n5888,2013/11/26,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n5889,2013/11/26,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n5890,2013/11/26,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n5891,2013/11/27,I did HIIT on 2013/11/27.,I did HIIT on 2013/11/27.\n5892,2013/11/27,\"I had breakfast with Emily, Carter, Andrew. I ate cereals.\",\"I had breakfast with Emily, Carter, Andrew. I ate cereals.\"\n5893,2013/11/27,I had steak for dinner with Olivia,I had steak for dinner with Olivia\n5894,2013/11/27,\"I spent 11 talking to Nora, Avery, Layla on various topics during lunch hours.\",\"I spent 11 talking to Nora, Avery, Layla on various topics during lunch hours.\"\n5895,2013/11/28,\"I bought some cherres, guava, mineral water, shampoo from the grocery store. I saw Willow, Benjamin, Jackson, Avery at the grocery store.\",\"I bought some cherres, guava, mineral water, shampoo from the grocery store. I saw Willow, Benjamin, Jackson, Avery at the grocery store.\"\n5896,2013/11/28,I did running on 2013/11/28.,I did running on 2013/11/28.\n5897,2013/11/28,\"I had cereals for breakfast with Benjamin, Willow\",\"I had cereals for breakfast with Benjamin, Willow\"\n5898,2013/11/28,\"I had pasta for lunch with Eva, Nora, Avery, Piper, Piper, Layla, Kinsley, Olivia\",\"I had pasta for lunch with Eva, Nora, Avery, Piper, Piper, Layla, Kinsley, Olivia\"\n5899,2013/11/28,I ate sandwich for dinner.,I ate sandwich for dinner.\n5900,2013/11/28,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n5901,2013/11/28,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n5902,2013/11/29,I did weight lifting on 2013/11/29.,I did weight lifting on 2013/11/29.\n5903,2013/11/29,I prepare indian food for dinner.,I prepare indian food for dinner.\n5904,2013/11/29,\"I talked to Claire, Olivia, Nevaeh for 28 minutes in the early evening.\",\"I talked to Claire, Olivia, Nevaeh for 28 minutes in the early evening.\"\n5905,2013/11/29,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n5906,2013/11/30,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n5907,2013/11/30,I spent 14 talking to Piper on various topics during lunch hours.,I spent 14 talking to Piper on various topics during lunch hours.\n5908,2013/11/30,\"I talked to Nevaeh, Nora, Eva, Rylee for 38 minutes in the early afternoon.\",\"I talked to Nevaeh, Nora, Eva, Rylee for 38 minutes in the early afternoon.\"\n5909,2013/11/30,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n5910,2013/12/01,\"On 2013/12/01, I took Jaxson on a date to a restaurant\",\"On 2013/12/01, I took Jaxson on a date to a restaurant\"\n5911,2013/12/01,\"I went grocery shopping. I bought some nectarines, bananas, mango juice, mineral water, and shampoo\",\"I went grocery shopping. I bought some nectarines, bananas, mango juice, mineral water, and shampoo\"\n5912,2013/12/01,I did weight lifting on 2013/12/01.,I did weight lifting on 2013/12/01.\n5913,2013/12/01,\"I had lunch with Jackson, Benjamin. I ate fish and chips.\",\"I had lunch with Jackson, Benjamin. I ate fish and chips.\"\n5914,2013/12/01,\"I had pasta for dinner with Benjamin, Jackson\",\"I had pasta for dinner with Benjamin, Jackson\"\n5915,2013/12/01,I spent 18 talking to Lydia on various topics during lunch hours.,I spent 18 talking to Lydia on various topics during lunch hours.\n5916,2013/12/01,I talked to Lydia for 36 minutes late in the evening.,I talked to Lydia for 36 minutes late in the evening.\n5917,2013/12/01,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n5918,2013/12/02,I prepare steak for lunch.,I prepare steak for lunch.\n5919,2013/12/02,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n5920,2013/12/03,I had cereals for breakfast with Carter,I had cereals for breakfast with Carter\n5921,2013/12/03,\"I talked to Eva, Olivia, Piper, Hazel for 47 minutes in the early evening.\",\"I talked to Eva, Olivia, Piper, Hazel for 47 minutes in the early evening.\"\n5922,2013/12/03,\"I talked to Eva, Kinsley, Avery, Nevaeh for 31 minutes during lunch hours.\",\"I talked to Eva, Kinsley, Avery, Nevaeh for 31 minutes during lunch hours.\"\n5923,2013/12/03,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n5924,2013/12/04,I did hiking on 2013/12/04.,I did hiking on 2013/12/04.\n5925,2013/12/04,\"I had lunch with Hazel, Piper, Kinsley, Eva, Nora, Claire, Rylee. I ate steak.\",\"I had lunch with Hazel, Piper, Kinsley, Eva, Nora, Claire, Rylee. I ate steak.\"\n5926,2013/12/04,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n5927,2013/12/05,I did swimming on 2013/12/05.,I did swimming on 2013/12/05.\n5928,2013/12/05,I ate sushi for lunch.,I ate sushi for lunch.\n5929,2013/12/05,I spent 34 talking to Piper on various topics in the early evening.,I spent 34 talking to Piper on various topics in the early evening.\n5930,2013/12/05,I talked to Piper for 23 minutes in the morning.,I talked to Piper for 23 minutes in the morning.\n5931,2013/12/06,I did biking on 2013/12/06.,I did biking on 2013/12/06.\n5932,2013/12/06,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n5933,2013/12/06,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n5934,2013/12/06,I prepare pasta for dinner.,I prepare pasta for dinner.\n5935,2013/12/06,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n5936,2013/12/07,\"On 2013/12/07, I took Kinsley on a date to a restaurant\",\"On 2013/12/07, I took Kinsley on a date to a restaurant\"\n5937,2013/12/07,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n5938,2013/12/07,I prepare tacos for dinner.,I prepare tacos for dinner.\n5939,2013/12/07,\"I talked to Lydia, Olivia, Rylee for 38 minutes in the late afternoon.\",\"I talked to Lydia, Olivia, Rylee for 38 minutes in the late afternoon.\"\n5940,2013/12/08,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n5941,2013/12/08,\"I had indian food for dinner with Emily, Carter\",\"I had indian food for dinner with Emily, Carter\"\n5942,2013/12/08,\"I spent 45 talking to Claire, Piper on various topics in the late afternoon.\",\"I spent 45 talking to Claire, Piper on various topics in the late afternoon.\"\n5943,2013/12/08,I talked to Hazel for 48 minutes in the morning.,I talked to Hazel for 48 minutes in the morning.\n5944,2013/12/08,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n5945,2013/12/08,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n5946,2013/12/09,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n5947,2013/12/09,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n5948,2013/12/09,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n5949,2013/12/10,\"I had dinner with Andrew, Kayden, Carter. I ate pasta.\",\"I had dinner with Andrew, Kayden, Carter. I ate pasta.\"\n5950,2013/12/10,I spent 22 talking to Olivia on various topics late in the evening.,I spent 22 talking to Olivia on various topics late in the evening.\n5951,2013/12/11,\"I talked to Avery, Nevaeh, Nora, Eva for 36 minutes in the early afternoon.\",\"I talked to Avery, Nevaeh, Nora, Eva for 36 minutes in the early afternoon.\"\n5952,2013/12/11,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n5953,2013/12/12,I did swimming on 2013/12/12.,I did swimming on 2013/12/12.\n5954,2013/12/12,\"I had pancakes for breakfast with Avery, Willow, Jackson, Benjamin\",\"I had pancakes for breakfast with Avery, Willow, Jackson, Benjamin\"\n5955,2013/12/12,\"I had a burger for lunch with Andrew, Emily\",\"I had a burger for lunch with Andrew, Emily\"\n5956,2013/12/12,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n5957,2013/12/12,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n5958,2013/12/13,\"I bought some pears, apples, pineapple juice, toothbrush, toilet paper, conditioner online.\",\"I bought some pears, apples, pineapple juice, toothbrush, toilet paper, conditioner online.\"\n5959,2013/12/13,I did running on 2013/12/13.,I did running on 2013/12/13.\n5960,2013/12/13,\"I had fish and chips for lunch with Layla, Olivia, Kinsley, Lydia, Rylee\",\"I had fish and chips for lunch with Layla, Olivia, Kinsley, Lydia, Rylee\"\n5961,2013/12/13,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n5962,2013/12/13,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n5963,2013/12/14,I did hiking on 2013/12/14.,I did hiking on 2013/12/14.\n5964,2013/12/14,\"I had breakfast with Carter, Emily. I ate cereals.\",\"I had breakfast with Carter, Emily. I ate cereals.\"\n5965,2013/12/14,I had steak for lunch with Emily,I had steak for lunch with Emily\n5966,2013/12/14,I ate sandwich for dinner.,I ate sandwich for dinner.\n5967,2013/12/15,I did HIIT on 2013/12/15.,I did HIIT on 2013/12/15.\n5968,2013/12/15,\"I had oatmeal for breakfast with Avery, Willow, Benjamin, Jackson\",\"I had oatmeal for breakfast with Avery, Willow, Benjamin, Jackson\"\n5969,2013/12/15,\"I had fish and chips for lunch with Andrew, Carter\",\"I had fish and chips for lunch with Andrew, Carter\"\n5970,2013/12/15,I talked to Lydia for 32 minutes late in the evening.,I talked to Lydia for 32 minutes late in the evening.\n5971,2013/12/15,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n5972,2013/12/16,\"On 2013/12/16, I took Nora on a date to a boba shop\",\"On 2013/12/16, I took Nora on a date to a boba shop\"\n5973,2013/12/16,I did HIIT on 2013/12/16.,I did HIIT on 2013/12/16.\n5974,2013/12/16,\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate toast and cheese.\",\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate toast and cheese.\"\n5975,2013/12/16,I talked to Layla for 30 minutes in the morning.,I talked to Layla for 30 minutes in the morning.\n5976,2013/12/16,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n5977,2013/12/16,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n5978,2013/12/17,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n5979,2013/12/17,\"I had tacos for dinner with Willow, Avery, Jackson, Benjamin\",\"I had tacos for dinner with Willow, Avery, Jackson, Benjamin\"\n5980,2013/12/17,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n5981,2013/12/18,I did hiking on 2013/12/18.,I did hiking on 2013/12/18.\n5982,2013/12/18,\"I had cereals for breakfast with Nevaeh, Piper, Kinsley, Lydia, Avery, Eva\",\"I had cereals for breakfast with Nevaeh, Piper, Kinsley, Lydia, Avery, Eva\"\n5983,2013/12/18,I had lunch with Benjamin. I ate steak.,I had lunch with Benjamin. I ate steak.\n5984,2013/12/18,\"I talked to Nevaeh, Rylee, Olivia for 40 minutes in the early afternoon.\",\"I talked to Nevaeh, Rylee, Olivia for 40 minutes in the early afternoon.\"\n5985,2013/12/19,I did running on 2013/12/19.,I did running on 2013/12/19.\n5986,2013/12/19,\"I spent 6 talking to Piper, Hazel, Lydia, Piper on various topics during lunch hours.\",\"I spent 6 talking to Piper, Hazel, Lydia, Piper on various topics during lunch hours.\"\n5987,2013/12/19,\"I talked to Kinsley, Olivia, Claire, Piper for 24 minutes during lunch hours.\",\"I talked to Kinsley, Olivia, Claire, Piper for 24 minutes during lunch hours.\"\n5988,2013/12/19,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n5989,2013/12/19,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n5990,2013/12/20,\"I went grocery shopping with Emily. I bought some mandarins, raspberries, pineapple juice, coffee, and facial wash, body lotion, toothbrush\",\"I went grocery shopping with Emily. I bought some mandarins, raspberries, pineapple juice, coffee, and facial wash, body lotion, toothbrush\"\n5991,2013/12/20,I did weight lifting on 2013/12/20.,I did weight lifting on 2013/12/20.\n5992,2013/12/20,I ate pasta for dinner.,I ate pasta for dinner.\n5993,2013/12/20,I talked to Lydia for 25 minutes late in the evening.,I talked to Lydia for 25 minutes late in the evening.\n5994,2013/12/20,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n5995,2013/12/20,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n5996,2013/12/21,\"I had dinner with Kayden, Emily, Carter, Andrew. I ate steak.\",\"I had dinner with Kayden, Emily, Carter, Andrew. I ate steak.\"\n5997,2013/12/21,\"I talked to Rylee, Olivia, Hazel, Kinsley for 24 minutes during lunch hours.\",\"I talked to Rylee, Olivia, Hazel, Kinsley for 24 minutes during lunch hours.\"\n5998,2013/12/21,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n5999,2013/12/21,I watched a tv series for 49 minutes on TV today.,I watched a tv series for 49 minutes on TV today.\n6000,2013/12/22,\"I had lunch with Andrew, Emily, Kayden, Carter. I ate a burger.\",\"I had lunch with Andrew, Emily, Kayden, Carter. I ate a burger.\"\n6001,2013/12/22,\"I talked to Piper, Claire for 24 minutes in the late afternoon.\",\"I talked to Piper, Claire for 24 minutes in the late afternoon.\"\n6002,2013/12/22,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n6003,2013/12/22,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n6004,2013/12/23,I did running on 2013/12/23.,I did running on 2013/12/23.\n6005,2013/12/23,\"I had breakfast with Piper, Lydia, Nora, Hazel, Olivia, Piper, Layla, Kinsley, Claire, Rylee. I ate cereals.\",\"I had breakfast with Piper, Lydia, Nora, Hazel, Olivia, Piper, Layla, Kinsley, Claire, Rylee. I ate cereals.\"\n6006,2013/12/23,\"I had a burger for lunch with Kayden, Emily, Andrew, Carter\",\"I had a burger for lunch with Kayden, Emily, Andrew, Carter\"\n6007,2013/12/23,I ate steak for dinner.,I ate steak for dinner.\n6008,2013/12/23,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n6009,2013/12/24,I did swimming on 2013/12/24.,I did swimming on 2013/12/24.\n6010,2013/12/24,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n6011,2013/12/24,I ate a burger for lunch.,I ate a burger for lunch.\n6012,2013/12/24,\"I spent 6 talking to Eva, Piper on various topics late in the evening.\",\"I spent 6 talking to Eva, Piper on various topics late in the evening.\"\n6013,2013/12/24,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n6014,2013/12/24,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n6015,2013/12/25,\"On 2013/12/25, I took Luca on a date to a coffee Shop\",\"On 2013/12/25, I took Luca on a date to a coffee Shop\"\n6016,2013/12/25,\"I had lunch with Eva, Nevaeh, Piper, Claire, Lydia, Piper, Olivia, Nora, Layla, Hazel, Kinsley, Rylee, Avery. I ate sushi.\",\"I had lunch with Eva, Nevaeh, Piper, Claire, Lydia, Piper, Olivia, Nora, Layla, Hazel, Kinsley, Rylee, Avery. I ate sushi.\"\n6017,2013/12/25,I had dinner with Andrew. I ate pasta.,I had dinner with Andrew. I ate pasta.\n6018,2013/12/25,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n6019,2013/12/26,\"I bought some apples, oranges, sports drinks, apple juice, mango juice, tea, toothbrush from the grocery store. I saw Andrew at the grocery store.\",\"I bought some apples, oranges, sports drinks, apple juice, mango juice, tea, toothbrush from the grocery store. I saw Andrew at the grocery store.\"\n6020,2013/12/26,I did swimming on 2013/12/26.,I did swimming on 2013/12/26.\n6021,2013/12/26,I prepare pasta for lunch.,I prepare pasta for lunch.\n6022,2013/12/26,\"I spent 26 talking to Nevaeh, Avery on various topics late in the evening.\",\"I spent 26 talking to Nevaeh, Avery on various topics late in the evening.\"\n6023,2013/12/26,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n6024,2013/12/27,I went for an annual dental cleaning and checkup on 2013/12/27 at the private clinic.,I went for an annual dental cleaning and checkup on 2013/12/27 at the private clinic.\n6025,2013/12/27,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n6026,2013/12/27,I prepare sushi for lunch.,I prepare sushi for lunch.\n6027,2013/12/27,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n6028,2013/12/28,\"I went grocery shopping with Rylee, Kinsley, Avery, Claire, Eva, Nevaeh, Nora. I bought some blackberries, pineapples, mandarins, apricots, guava juice, and toothpaste, facial wash, shampoo\",\"I went grocery shopping with Rylee, Kinsley, Avery, Claire, Eva, Nevaeh, Nora. I bought some blackberries, pineapples, mandarins, apricots, guava juice, and toothpaste, facial wash, shampoo\"\n6029,2013/12/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n6030,2013/12/28,I had lunch with Emily. I ate steak.,I had lunch with Emily. I ate steak.\n6031,2013/12/28,\"I spent 19 talking to Lydia, Hazel, Rylee, Nevaeh on various topics in the late afternoon.\",\"I spent 19 talking to Lydia, Hazel, Rylee, Nevaeh on various topics in the late afternoon.\"\n6032,2013/12/29,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n6033,2013/12/29,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n6034,2013/12/30,I spent some time meditation on 2013/12/30.,I spent some time meditation on 2013/12/30.\n6035,2013/12/30,I did hiking on 2013/12/30.,I did hiking on 2013/12/30.\n6036,2013/12/30,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n6037,2013/12/30,\"I spent 20 talking to Olivia, Claire, Nora on various topics during lunch hours.\",\"I spent 20 talking to Olivia, Claire, Nora on various topics during lunch hours.\"\n6038,2013/12/30,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n6039,2013/12/31,I did hiking on 2013/12/31.,I did hiking on 2013/12/31.\n6040,2013/12/31,\"I had breakfast with Nevaeh, Hazel, Claire, Olivia, Piper. I ate toast and cheese.\",\"I had breakfast with Nevaeh, Hazel, Claire, Olivia, Piper. I ate toast and cheese.\"\n6041,2013/12/31,I spent 49 talking to Hazel on various topics in the early evening.,I spent 49 talking to Hazel on various topics in the early evening.\n6042,2014/01/01,I really enjoyed working out on 2014/01/01,I really enjoyed working out on 2014/01/01\n6043,2014/01/01,I did swimming on 2014/01/01.,I did swimming on 2014/01/01.\n6044,2014/01/01,I prepare sushi for lunch.,I prepare sushi for lunch.\n6045,2014/01/02,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n6046,2014/01/02,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n6047,2014/01/02,\"I talked to Nevaeh, Layla, Avery for 42 minutes in the early afternoon.\",\"I talked to Nevaeh, Layla, Avery for 42 minutes in the early afternoon.\"\n6048,2014/01/02,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n6049,2014/01/03,\"On 2014/01/03, I took Audrey on a date to a park\",\"On 2014/01/03, I took Audrey on a date to a park\"\n6050,2014/01/03,I talked to Piper for 18 minutes during lunch hours.,I talked to Piper for 18 minutes during lunch hours.\n6051,2014/01/03,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n6052,2014/01/04,I went on a date with Serenity on 2014/01/04 at a restaurant,I went on a date with Serenity on 2014/01/04 at a restaurant\n6053,2014/01/04,I did swimming on 2014/01/04.,I did swimming on 2014/01/04.\n6054,2014/01/04,\"I talked to Piper, Nora, Olivia, Eva for 32 minutes in the early afternoon.\",\"I talked to Piper, Nora, Olivia, Eva for 32 minutes in the early afternoon.\"\n6055,2014/01/04,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n6056,2014/01/05,I had lunch with Avery. I ate chinese food.,I had lunch with Avery. I ate chinese food.\n6057,2014/01/05,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n6058,2014/01/06,I did hiking on 2014/01/06.,I did hiking on 2014/01/06.\n6059,2014/01/06,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n6060,2014/01/06,I prepare a burger for dinner.,I prepare a burger for dinner.\n6061,2014/01/07,\"I bought some mangos, mango juice, sports drinks, chocolate milk, conditioner, shampoo, paper towel, body lotion from the grocery store. I saw Emily, Andrew, Carter, Kayden at the grocery store.\",\"I bought some mangos, mango juice, sports drinks, chocolate milk, conditioner, shampoo, paper towel, body lotion from the grocery store. I saw Emily, Andrew, Carter, Kayden at the grocery store.\"\n6062,2014/01/07,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n6063,2014/01/07,\"I had a burger for lunch with Kayden, Carter\",\"I had a burger for lunch with Kayden, Carter\"\n6064,2014/01/07,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n6065,2014/01/07,I spent 12 talking to Layla on various topics in the morning.,I spent 12 talking to Layla on various topics in the morning.\n6066,2014/01/07,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n6067,2014/01/08,\"I had breakfast with Kayden, Emily, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Emily, Carter. I ate peanut-butter-jam.\"\n6068,2014/01/08,\"I spent 36 talking to Nevaeh, Nora, Lydia on various topics in the early afternoon.\",\"I spent 36 talking to Nevaeh, Nora, Lydia on various topics in the early afternoon.\"\n6069,2014/01/08,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n6070,2014/01/09,I had dinner. I ate steak.,I had dinner. I ate steak.\n6071,2014/01/09,\"I talked to Nevaeh, Kinsley for 16 minutes during lunch hours.\",\"I talked to Nevaeh, Kinsley for 16 minutes during lunch hours.\"\n6072,2014/01/10,I went on a date with Isla on 2014/01/10 at a park,I went on a date with Isla on 2014/01/10 at a park\n6073,2014/01/10,\"I had breakfast with Carter, Emily, Kayden. I ate cereals.\",\"I had breakfast with Carter, Emily, Kayden. I ate cereals.\"\n6074,2014/01/10,I prepare pasta for lunch.,I prepare pasta for lunch.\n6075,2014/01/10,\"I had dinner with Avery, Rylee, Lydia, Nevaeh, Piper, Layla, Nora, Claire, Kinsley, Olivia, Eva, Piper, Hazel. I ate chinese food.\",\"I had dinner with Avery, Rylee, Lydia, Nevaeh, Piper, Layla, Nora, Claire, Kinsley, Olivia, Eva, Piper, Hazel. I ate chinese food.\"\n6076,2014/01/10,\"I talked to Piper, Nora for 48 minutes in the early afternoon.\",\"I talked to Piper, Nora for 48 minutes in the early afternoon.\"\n6077,2014/01/10,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n6078,2014/01/11,I did running on 2014/01/11.,I did running on 2014/01/11.\n6079,2014/01/11,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n6080,2014/01/11,\"I had indian food for lunch with Kayden, Andrew, Emily, Carter\",\"I had indian food for lunch with Kayden, Andrew, Emily, Carter\"\n6081,2014/01/11,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n6082,2014/01/12,I did running on 2014/01/12.,I did running on 2014/01/12.\n6083,2014/01/12,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n6084,2014/01/12,I prepare steak for dinner.,I prepare steak for dinner.\n6085,2014/01/13,\"On 2014/01/13 Piper and I went to Bangkok, Thailand together for 10 days \",\"On 2014/01/13 Piper and I went to Bangkok, Thailand together for 10 days \"\n6086,2014/01/13,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n6087,2014/01/13,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n6088,2014/01/13,I spent 54 talking to Lydia on various topics in the late afternoon.,I spent 54 talking to Lydia on various topics in the late afternoon.\n6089,2014/01/13,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n6090,2014/01/14,\"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2014/01 with Piper.\",\"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2014/01 with Piper.\"\n6091,2014/01/14,\"I ate Italian food at Ratchawat Market with Piper on  2014/01/14 when I was in Bangkok, Thailand.\",\"I ate Italian food at Ratchawat Market with Piper on  2014/01/14 when I was in Bangkok, Thailand.\"\n6092,2014/01/14,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n6093,2014/01/14,I prepare a burger for dinner.,I prepare a burger for dinner.\n6094,2014/01/14,\"I talked to Eva, Piper, Nevaeh, Layla for 43 minutes during lunch hours.\",\"I talked to Eva, Piper, Nevaeh, Layla for 43 minutes during lunch hours.\"\n6095,2014/01/14,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n6096,2014/01/15,\"During my trip to Bangkok, Thailand, I visited Wat Arun on 2014/01 with Piper.\",\"During my trip to Bangkok, Thailand, I visited Wat Arun on 2014/01 with Piper.\"\n6097,2014/01/15,\"I ate local food at Ratchawat Market with Piper on  2014/01/15 when I was in Bangkok, Thailand.\",\"I ate local food at Ratchawat Market with Piper on  2014/01/15 when I was in Bangkok, Thailand.\"\n6098,2014/01/15,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n6099,2014/01/15,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n6100,2014/01/15,\"I talked to Eva, Hazel, Kinsley, Piper for 34 minutes in the late afternoon.\",\"I talked to Eva, Hazel, Kinsley, Piper for 34 minutes in the late afternoon.\"\n6101,2014/01/15,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n6102,2014/01/16,\"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2014/01 with Piper.\",\"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2014/01 with Piper.\"\n6103,2014/01/16,\"I went grocery shopping with Andrew, Emily, Kayden. I bought some blackberries, bananas, pineapple juice, tea, mango juice, and shampoo, toothbrush\",\"I went grocery shopping with Andrew, Emily, Kayden. I bought some blackberries, bananas, pineapple juice, tea, mango juice, and shampoo, toothbrush\"\n6104,2014/01/16,I prepare tacos for dinner.,I prepare tacos for dinner.\n6105,2014/01/16,\"I spent 41 talking to Layla, Piper, Nevaeh on various topics in the morning.\",\"I spent 41 talking to Layla, Piper, Nevaeh on various topics in the morning.\"\n6106,2014/01/16,I talked to Hazel for 11 minutes during lunch hours.,I talked to Hazel for 11 minutes during lunch hours.\n6107,2014/01/16,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n6108,2014/01/17,\"During my trip to Bangkok, Thailand, I visited Wat Traimit on 2014/01 with Piper.\",\"During my trip to Bangkok, Thailand, I visited Wat Traimit on 2014/01 with Piper.\"\n6109,2014/01/17,\"I ate Japanese food at Ratchawat Market with Piper on  2014/01/17 when I was in Bangkok, Thailand.\",\"I ate Japanese food at Ratchawat Market with Piper on  2014/01/17 when I was in Bangkok, Thailand.\"\n6110,2014/01/17,I went on a date with Leilani on 2014/01/17 at a coffee Shop,I went on a date with Leilani on 2014/01/17 at a coffee Shop\n6111,2014/01/17,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n6112,2014/01/17,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n6113,2014/01/17,\"I spent 6 talking to Kinsley, Hazel, Nora, Nevaeh on various topics during lunch hours.\",\"I spent 6 talking to Kinsley, Hazel, Nora, Nevaeh on various topics during lunch hours.\"\n6114,2014/01/17,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n6115,2014/01/18,\"During my trip to Bangkok, Thailand, I visited Grand Palace on 2014/01 with Piper.\",\"During my trip to Bangkok, Thailand, I visited Grand Palace on 2014/01 with Piper.\"\n6116,2014/01/18,\"I ate Italian food at Yaowarat with Piper on  2014/01/18 when I was in Bangkok, Thailand.\",\"I ate Italian food at Yaowarat with Piper on  2014/01/18 when I was in Bangkok, Thailand.\"\n6117,2014/01/18,\"I bought some oranges, bananas, apricots, strawberries, guava juice, toothpaste, conditioner, paper towel, facial wash from the grocery store. I saw Jackson, Willow, Benjamin at the grocery store.\",\"I bought some oranges, bananas, apricots, strawberries, guava juice, toothpaste, conditioner, paper towel, facial wash from the grocery store. I saw Jackson, Willow, Benjamin at the grocery store.\"\n6118,2014/01/18,\"I had sushi for dinner with Andrew, Kayden, Carter\",\"I had sushi for dinner with Andrew, Kayden, Carter\"\n6119,2014/01/18,I spent 45 talking to Nora on various topics late in the evening.,I spent 45 talking to Nora on various topics late in the evening.\n6120,2014/01/18,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n6121,2014/01/19,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n6122,2014/01/19,\"I spent 13 talking to Hazel, Piper, Rylee, Avery on various topics late in the evening.\",\"I spent 13 talking to Hazel, Piper, Rylee, Avery on various topics late in the evening.\"\n6123,2014/01/19,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n6124,2014/01/19,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n6125,2014/01/20,\"I ate Italian food at Ratchawat Market with Piper on  2014/01/20 when I was in Bangkok, Thailand.\",\"I ate Italian food at Ratchawat Market with Piper on  2014/01/20 when I was in Bangkok, Thailand.\"\n6126,2014/01/20,\"I had sandwich for lunch with Avery, Benjamin\",\"I had sandwich for lunch with Avery, Benjamin\"\n6127,2014/01/20,\"I talked to Claire, Nora for 37 minutes in the late afternoon.\",\"I talked to Claire, Nora for 37 minutes in the late afternoon.\"\n6128,2014/01/20,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n6129,2014/01/21,I spent some time gardening on 2014/01/21.,I spent some time gardening on 2014/01/21.\n6130,2014/01/21,I did HIIT on 2014/01/21.,I did HIIT on 2014/01/21.\n6131,2014/01/21,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n6132,2014/01/21,\"I talked to Hazel, Lydia, Piper, Eva for 48 minutes during lunch hours.\",\"I talked to Hazel, Lydia, Piper, Eva for 48 minutes during lunch hours.\"\n6133,2014/01/21,I spent 37 talking to Piper on various topics in the early afternoon.,I spent 37 talking to Piper on various topics in the early afternoon.\n6134,2014/01/21,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n6135,2014/01/21,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n6136,2014/01/22,\"I ate Chinese food at Ratchawat Market with Piper on  2014/01/22 when I was in Bangkok, Thailand.\",\"I ate Chinese food at Ratchawat Market with Piper on  2014/01/22 when I was in Bangkok, Thailand.\"\n6137,2014/01/22,I prepare a burger for lunch.,I prepare a burger for lunch.\n6138,2014/01/22,\"I spent 52 talking to Avery, Piper, Layla, Piper on various topics in the early evening.\",\"I spent 52 talking to Avery, Piper, Layla, Piper on various topics in the early evening.\"\n6139,2014/01/22,\"I talked to Layla, Claire, Lydia for 6 minutes in the late afternoon.\",\"I talked to Layla, Claire, Lydia for 6 minutes in the late afternoon.\"\n6140,2014/01/22,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n6141,2014/01/22,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n6142,2014/01/23,\"I ate Chinese food at Yaowarat with Piper on  2014/01/23 when I was in Bangkok, Thailand.\",\"I ate Chinese food at Yaowarat with Piper on  2014/01/23 when I was in Bangkok, Thailand.\"\n6143,2014/01/23,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n6144,2014/01/23,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n6145,2014/01/23,I spent 10 talking to Nora on various topics during lunch hours.,I spent 10 talking to Nora on various topics during lunch hours.\n6146,2014/01/23,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n6147,2014/01/24,I did weight lifting on 2014/01/24.,I did weight lifting on 2014/01/24.\n6148,2014/01/24,\"I had lunch with Avery, Olivia, Kinsley, Lydia, Piper, Hazel. I ate pasta.\",\"I had lunch with Avery, Olivia, Kinsley, Lydia, Piper, Hazel. I ate pasta.\"\n6149,2014/01/24,\"I had dinner with Olivia, Rylee, Claire, Avery, Nevaeh, Piper. I ate pasta.\",\"I had dinner with Olivia, Rylee, Claire, Avery, Nevaeh, Piper. I ate pasta.\"\n6150,2014/01/24,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n6151,2014/01/25,I really enjoyed working out on 2014/01/25,I really enjoyed working out on 2014/01/25\n6152,2014/01/25,I did running on 2014/01/25.,I did running on 2014/01/25.\n6153,2014/01/25,\"I had oatmeal for breakfast with Carter, Emily, Andrew, Kayden\",\"I had oatmeal for breakfast with Carter, Emily, Andrew, Kayden\"\n6154,2014/01/25,I spent 48 talking to Claire on various topics during lunch hours.,I spent 48 talking to Claire on various topics during lunch hours.\n6155,2014/01/25,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n6156,2014/01/26,\"I had breakfast with Kinsley, Lydia, Avery, Piper, Claire. I ate peanut-butter-jam.\",\"I had breakfast with Kinsley, Lydia, Avery, Piper, Claire. I ate peanut-butter-jam.\"\n6157,2014/01/26,I ate sushi for lunch.,I ate sushi for lunch.\n6158,2014/01/26,I ate tacos for dinner.,I ate tacos for dinner.\n6159,2014/01/27,I had lunch with Andrew. I ate tacos.,I had lunch with Andrew. I ate tacos.\n6160,2014/01/27,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n6161,2014/01/27,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n6162,2014/01/28,I did swimming on 2014/01/28.,I did swimming on 2014/01/28.\n6163,2014/01/28,\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate peanut-butter-jam.\"\n6164,2014/01/28,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n6165,2014/01/29,\"I bought some watermelons, strawberries, mango juice, guava juice, pineapple juice, sports drinks, body lotion, toothpaste from the grocery store. I saw Eva, Nevaeh, Lydia, Nora, Hazel, Piper, Olivia at the grocery store.\",\"I bought some watermelons, strawberries, mango juice, guava juice, pineapple juice, sports drinks, body lotion, toothpaste from the grocery store. I saw Eva, Nevaeh, Lydia, Nora, Hazel, Piper, Olivia at the grocery store.\"\n6166,2014/01/29,I ate steak for dinner.,I ate steak for dinner.\n6167,2014/01/29,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n6168,2014/01/29,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n6169,2014/01/30,I did running on 2014/01/30.,I did running on 2014/01/30.\n6170,2014/01/30,I ate a burger for lunch.,I ate a burger for lunch.\n6171,2014/01/30,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n6172,2014/01/31,I did swimming on 2014/01/31.,I did swimming on 2014/01/31.\n6173,2014/01/31,\"I talked to Nora, Piper, Olivia for 18 minutes late in the evening.\",\"I talked to Nora, Piper, Olivia for 18 minutes late in the evening.\"\n6174,2014/01/31,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n6175,2014/02/01,I went on a date with Peyton on 2014/02/01 at a boba shop,I went on a date with Peyton on 2014/02/01 at a boba shop\n6176,2014/02/01,I ate sandwich for dinner.,I ate sandwich for dinner.\n6177,2014/02/01,\"I talked to Nevaeh, Olivia, Nora for 18 minutes in the early evening.\",\"I talked to Nevaeh, Olivia, Nora for 18 minutes in the early evening.\"\n6178,2014/02/01,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n6179,2014/02/02,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n6180,2014/02/02,\"I had dinner with Olivia, Kinsley, Rylee, Piper, Eva, Nevaeh, Lydia, Hazel, Piper, Nora, Claire, Layla, Avery. I ate pasta.\",\"I had dinner with Olivia, Kinsley, Rylee, Piper, Eva, Nevaeh, Lydia, Hazel, Piper, Nora, Claire, Layla, Avery. I ate pasta.\"\n6181,2014/02/02,\"I talked to Kinsley, Olivia, Hazel, Claire for 15 minutes in the early evening.\",\"I talked to Kinsley, Olivia, Hazel, Claire for 15 minutes in the early evening.\"\n6182,2014/02/02,\"I spent 44 talking to Olivia, Hazel, Nora on various topics in the late afternoon.\",\"I spent 44 talking to Olivia, Hazel, Nora on various topics in the late afternoon.\"\n6183,2014/02/02,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n6184,2014/02/03,I did weight lifting on 2014/02/03.,I did weight lifting on 2014/02/03.\n6185,2014/02/03,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n6186,2014/02/03,\"I had lunch with Carter, Kayden. I ate indian food.\",\"I had lunch with Carter, Kayden. I ate indian food.\"\n6187,2014/02/03,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n6188,2014/02/03,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n6189,2014/02/04,I did weight lifting on 2014/02/04.,I did weight lifting on 2014/02/04.\n6190,2014/02/04,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n6191,2014/02/04,\"I spent 48 talking to Kinsley, Olivia on various topics during lunch hours.\",\"I spent 48 talking to Kinsley, Olivia on various topics during lunch hours.\"\n6192,2014/02/04,\"I talked to Avery, Eva for 34 minutes in the early afternoon.\",\"I talked to Avery, Eva for 34 minutes in the early afternoon.\"\n6193,2014/02/04,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n6194,2014/02/04,I spent 17 minutes watching a tv series on TV today.,I spent 17 minutes watching a tv series on TV today.\n6195,2014/02/05,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n6196,2014/02/05,\"I had steak for lunch with Andrew, Kayden, Emily\",\"I had steak for lunch with Andrew, Kayden, Emily\"\n6197,2014/02/05,\"I talked to Avery, Rylee, Olivia, Nevaeh for 22 minutes late in the evening.\",\"I talked to Avery, Rylee, Olivia, Nevaeh for 22 minutes late in the evening.\"\n6198,2014/02/05,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n6199,2014/02/06,I did weight lifting on 2014/02/06.,I did weight lifting on 2014/02/06.\n6200,2014/02/06,\"I had breakfast with Jackson, Benjamin, Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Benjamin, Avery. I ate eggs, sausages, and bread.\"\n6201,2014/02/06,\"I had a burger for lunch with Kayden, Andrew, Carter, Emily\",\"I had a burger for lunch with Kayden, Andrew, Carter, Emily\"\n6202,2014/02/06,I spent 43 minutes watching news on TV today.,I spent 43 minutes watching news on TV today.\n6203,2014/02/07,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n6204,2014/02/07,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n6205,2014/02/07,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n6206,2014/02/08,I did swimming on 2014/02/08.,I did swimming on 2014/02/08.\n6207,2014/02/08,\"I had steak for dinner with Andrew, Kayden, Emily\",\"I had steak for dinner with Andrew, Kayden, Emily\"\n6208,2014/02/08,\"I spent 40 talking to Eva, Layla on various topics in the early afternoon.\",\"I spent 40 talking to Eva, Layla on various topics in the early afternoon.\"\n6209,2014/02/08,I talked to Kinsley for 50 minutes in the early evening.,I talked to Kinsley for 50 minutes in the early evening.\n6210,2014/02/09,\"I went grocery shopping. I bought some raspberries, apricots, pineapples, mango juice, and toilet paper, mouthwash\",\"I went grocery shopping. I bought some raspberries, apricots, pineapples, mango juice, and toilet paper, mouthwash\"\n6211,2014/02/09,I did weight lifting on 2014/02/09.,I did weight lifting on 2014/02/09.\n6212,2014/02/09,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n6213,2014/02/09,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n6214,2014/02/09,\"I had dinner with Carter, Andrew, Kayden, Emily. I ate steak.\",\"I had dinner with Carter, Andrew, Kayden, Emily. I ate steak.\"\n6215,2014/02/09,\"I spent 41 talking to Lydia, Rylee on various topics in the late afternoon.\",\"I spent 41 talking to Lydia, Rylee on various topics in the late afternoon.\"\n6216,2014/02/09,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n6217,2014/02/09,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n6218,2014/02/10,I did HIIT on 2014/02/10.,I did HIIT on 2014/02/10.\n6219,2014/02/10,I had breakfast with Willow. I ate peanut-butter-jam.,I had breakfast with Willow. I ate peanut-butter-jam.\n6220,2014/02/10,I ate pasta for lunch.,I ate pasta for lunch.\n6221,2014/02/10,\"I had a burger for dinner with Nevaeh, Piper, Eva, Rylee, Piper, Hazel, Claire\",\"I had a burger for dinner with Nevaeh, Piper, Eva, Rylee, Piper, Hazel, Claire\"\n6222,2014/02/10,\"I spent 22 talking to Layla, Lydia on various topics in the early evening.\",\"I spent 22 talking to Layla, Lydia on various topics in the early evening.\"\n6223,2014/02/10,\"I talked to Hazel, Nevaeh, Claire, Layla for 26 minutes in the late afternoon.\",\"I talked to Hazel, Nevaeh, Claire, Layla for 26 minutes in the late afternoon.\"\n6224,2014/02/10,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n6225,2014/02/10,I watched a documentary for 36 minutes on TV today.,I watched a documentary for 36 minutes on TV today.\n6226,2014/02/11,\"On 2014/02/11, I took Joshua on a date to a restaurant\",\"On 2014/02/11, I took Joshua on a date to a restaurant\"\n6227,2014/02/11,I did running on 2014/02/11.,I did running on 2014/02/11.\n6228,2014/02/11,\"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Emily, Andrew\",\"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Emily, Andrew\"\n6229,2014/02/11,\"I had lunch with Kayden, Andrew, Carter, Emily. I ate fish and chips.\",\"I had lunch with Kayden, Andrew, Carter, Emily. I ate fish and chips.\"\n6230,2014/02/11,I prepare steak for dinner.,I prepare steak for dinner.\n6231,2014/02/11,I spent 38 talking to Claire on various topics in the morning.,I spent 38 talking to Claire on various topics in the morning.\n6232,2014/02/11,\"I spent 12 talking to Hazel, Piper, Piper, Claire on various topics in the late afternoon.\",\"I spent 12 talking to Hazel, Piper, Piper, Claire on various topics in the late afternoon.\"\n6233,2014/02/11,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n6234,2014/02/12,I went on a date with Mateo on 2014/02/12 at a coffee Shop,I went on a date with Mateo on 2014/02/12 at a coffee Shop\n6235,2014/02/12,\"I went grocery shopping with Kayden, Emily, Carter. I bought some blueberries, blackberries, mandarins, chocolate milk, and paper towel, mouth wash, toilet paper\",\"I went grocery shopping with Kayden, Emily, Carter. I bought some blueberries, blackberries, mandarins, chocolate milk, and paper towel, mouth wash, toilet paper\"\n6236,2014/02/12,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n6237,2014/02/12,\"I talked to Hazel, Layla, Piper for 13 minutes in the morning.\",\"I talked to Hazel, Layla, Piper for 13 minutes in the morning.\"\n6238,2014/02/12,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n6239,2014/02/12,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n6240,2014/02/13,I had lunch with Carter. I ate indian food.,I had lunch with Carter. I ate indian food.\n6241,2014/02/13,I ate sandwich for dinner.,I ate sandwich for dinner.\n6242,2014/02/13,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n6243,2014/02/14,\"I had fish and chips for dinner with Olivia, Claire\",\"I had fish and chips for dinner with Olivia, Claire\"\n6244,2014/02/14,\"I talked to Lydia, Nevaeh, Rylee, Hazel for 48 minutes in the morning.\",\"I talked to Lydia, Nevaeh, Rylee, Hazel for 48 minutes in the morning.\"\n6245,2014/02/14,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n6246,2014/02/15,I did HIIT on 2014/02/15.,I did HIIT on 2014/02/15.\n6247,2014/02/15,\"I had lunch with Jackson, Avery, Willow. I ate steak.\",\"I had lunch with Jackson, Avery, Willow. I ate steak.\"\n6248,2014/02/15,I had indian food for dinner with Andrew,I had indian food for dinner with Andrew\n6249,2014/02/15,I talked to Piper for 15 minutes in the early afternoon.,I talked to Piper for 15 minutes in the early afternoon.\n6250,2014/02/16,\"On 2014/02/16, I took Asher on a date to a coffee Shop\",\"On 2014/02/16, I took Asher on a date to a coffee Shop\"\n6251,2014/02/16,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n6252,2014/02/16,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n6253,2014/02/16,\"I talked to Hazel, Rylee, Piper, Lydia for 24 minutes in the late afternoon.\",\"I talked to Hazel, Rylee, Piper, Lydia for 24 minutes in the late afternoon.\"\n6254,2014/02/16,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n6255,2014/02/16,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n6256,2014/02/17,\"I went grocery shopping. I bought some guava, pineapple juice, orange juice, guava juice, tea, and facial wash\",\"I went grocery shopping. I bought some guava, pineapple juice, orange juice, guava juice, tea, and facial wash\"\n6257,2014/02/17,I had pasta for lunch with Kayden,I had pasta for lunch with Kayden\n6258,2014/02/17,\"I had sushi for dinner with Carter, Emily, Kayden, Andrew\",\"I had sushi for dinner with Carter, Emily, Kayden, Andrew\"\n6259,2014/02/17,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n6260,2014/02/17,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n6261,2014/02/18,I did swimming on 2014/02/18.,I did swimming on 2014/02/18.\n6262,2014/02/18,I ate steak for lunch.,I ate steak for lunch.\n6263,2014/02/18,I ate sushi for dinner.,I ate sushi for dinner.\n6264,2014/02/18,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n6265,2014/02/18,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n6266,2014/02/19,\"I spent time working out on 2014/02/19 with Carter, Emily.\",\"I spent time working out on 2014/02/19 with Carter, Emily.\"\n6267,2014/02/19,I did HIIT on 2014/02/19.,I did HIIT on 2014/02/19.\n6268,2014/02/19,I had breakfast with Andrew. I ate oatmeal.,I had breakfast with Andrew. I ate oatmeal.\n6269,2014/02/19,I had fish and chips for lunch with Emily,I had fish and chips for lunch with Emily\n6270,2014/02/19,\"I had sushi for dinner with Avery, Nevaeh, Rylee\",\"I had sushi for dinner with Avery, Nevaeh, Rylee\"\n6271,2014/02/19,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n6272,2014/02/20,I did weight lifting on 2014/02/20.,I did weight lifting on 2014/02/20.\n6273,2014/02/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n6274,2014/02/20,I talked to Lydia for 11 minutes late in the evening.,I talked to Lydia for 11 minutes late in the evening.\n6275,2014/02/21,I did HIIT on 2014/02/21.,I did HIIT on 2014/02/21.\n6276,2014/02/21,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n6277,2014/02/21,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n6278,2014/02/21,\"I talked to Rylee, Lydia, Hazel, Olivia for 31 minutes in the morning.\",\"I talked to Rylee, Lydia, Hazel, Olivia for 31 minutes in the morning.\"\n6279,2014/02/21,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n6280,2014/02/22,I did weight lifting on 2014/02/22.,I did weight lifting on 2014/02/22.\n6281,2014/02/22,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n6282,2014/02/22,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n6283,2014/02/22,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n6284,2014/02/23,I went on a date with Joshua on 2014/02/23 at a coffee Shop,I went on a date with Joshua on 2014/02/23 at a coffee Shop\n6285,2014/02/23,I did running on 2014/02/23.,I did running on 2014/02/23.\n6286,2014/02/23,\"I had eggs, sausages, and bread for breakfast with Benjamin, Jackson\",\"I had eggs, sausages, and bread for breakfast with Benjamin, Jackson\"\n6287,2014/02/23,\"I had steak for dinner with Eva, Lydia, Olivia, Piper, Nora, Kinsley, Avery, Rylee, Layla, Claire, Piper, Nevaeh\",\"I had steak for dinner with Eva, Lydia, Olivia, Piper, Nora, Kinsley, Avery, Rylee, Layla, Claire, Piper, Nevaeh\"\n6288,2014/02/23,\"I talked to Olivia, Lydia, Nevaeh for 33 minutes late in the evening.\",\"I talked to Olivia, Lydia, Nevaeh for 33 minutes late in the evening.\"\n6289,2014/02/24,I had fish and chips for lunch with Carter,I had fish and chips for lunch with Carter\n6290,2014/02/24,I had tacos for dinner with Andrew,I had tacos for dinner with Andrew\n6291,2014/02/24,\"I talked to Nevaeh, Olivia, Kinsley, Lydia for 15 minutes during lunch hours.\",\"I talked to Nevaeh, Olivia, Kinsley, Lydia for 15 minutes during lunch hours.\"\n6292,2014/02/24,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n6293,2014/02/24,I watched a documentary for 29 minutes on TV today.,I watched a documentary for 29 minutes on TV today.\n6294,2014/02/25,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n6295,2014/02/25,I prepare tacos for dinner.,I prepare tacos for dinner.\n6296,2014/02/25,I spent 7 talking to Layla on various topics in the early evening.,I spent 7 talking to Layla on various topics in the early evening.\n6297,2014/02/25,I spent 27 talking to Piper on various topics during lunch hours.,I spent 27 talking to Piper on various topics during lunch hours.\n6298,2014/02/25,I spent 34 minutes watching a tv series on TV today.,I spent 34 minutes watching a tv series on TV today.\n6299,2014/02/26,I spent some time yoga on 2014/02/26.,I spent some time yoga on 2014/02/26.\n6300,2014/02/26,\"I bought some bananas, guava juice, pineapple juice, toothbrush from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\",\"I bought some bananas, guava juice, pineapple juice, toothbrush from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\"\n6301,2014/02/26,I had lunch with Avery. I ate steak.,I had lunch with Avery. I ate steak.\n6302,2014/02/26,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n6303,2014/02/26,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n6304,2014/02/26,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n6305,2014/02/27,I prepare a burger for dinner.,I prepare a burger for dinner.\n6306,2014/02/27,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n6307,2014/02/27,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n6308,2014/02/28,I did swimming on 2014/02/28.,I did swimming on 2014/02/28.\n6309,2014/02/28,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n6310,2014/02/28,\"I talked to Nevaeh, Claire, Nora, Rylee for 54 minutes in the early afternoon.\",\"I talked to Nevaeh, Claire, Nora, Rylee for 54 minutes in the early afternoon.\"\n6311,2014/02/28,I spent 21 talking to Kinsley on various topics in the early afternoon.,I spent 21 talking to Kinsley on various topics in the early afternoon.\n6312,2014/02/28,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n6313,2014/03/01,I did weight lifting on 2014/03/01.,I did weight lifting on 2014/03/01.\n6314,2014/03/01,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n6315,2014/03/02,I prepare pasta for lunch.,I prepare pasta for lunch.\n6316,2014/03/02,I had dinner with Andrew. I ate pasta.,I had dinner with Andrew. I ate pasta.\n6317,2014/03/02,I talked to Nora for 18 minutes during lunch hours.,I talked to Nora for 18 minutes during lunch hours.\n6318,2014/03/02,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n6319,2014/03/03,I did biking on 2014/03/03.,I did biking on 2014/03/03.\n6320,2014/03/03,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n6321,2014/03/03,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n6322,2014/03/03,\"I had dinner with Rylee, Lydia, Piper, Olivia, Claire, Hazel, Eva, Avery, Kinsley, Piper. I ate fish and chips.\",\"I had dinner with Rylee, Lydia, Piper, Olivia, Claire, Hazel, Eva, Avery, Kinsley, Piper. I ate fish and chips.\"\n6323,2014/03/03,I talked to Piper for 44 minutes in the morning.,I talked to Piper for 44 minutes in the morning.\n6324,2014/03/04,I went on a date with Bella on 2014/03/04 at a boba shop,I went on a date with Bella on 2014/03/04 at a boba shop\n6325,2014/03/04,I did HIIT on 2014/03/04.,I did HIIT on 2014/03/04.\n6326,2014/03/04,\"I talked to Claire, Olivia for 39 minutes in the early afternoon.\",\"I talked to Claire, Olivia for 39 minutes in the early afternoon.\"\n6327,2014/03/05,\"On 2014/03/05, I took Naomi on a date to a coffee Shop\",\"On 2014/03/05, I took Naomi on a date to a coffee Shop\"\n6328,2014/03/05,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n6329,2014/03/05,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n6330,2014/03/06,I did hiking on 2014/03/06.,I did hiking on 2014/03/06.\n6331,2014/03/06,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n6332,2014/03/06,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n6333,2014/03/06,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n6334,2014/03/08,I did HIIT on 2014/03/08.,I did HIIT on 2014/03/08.\n6335,2014/03/08,\"I had breakfast with Emily, Carter, Andrew. I ate toast and cheese.\",\"I had breakfast with Emily, Carter, Andrew. I ate toast and cheese.\"\n6336,2014/03/08,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n6337,2014/03/08,I spent 51 talking to Piper on various topics during lunch hours.,I spent 51 talking to Piper on various topics during lunch hours.\n6338,2014/03/08,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n6339,2014/03/08,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n6340,2014/03/09,I ate sandwich for lunch.,I ate sandwich for lunch.\n6341,2014/03/09,I prepare steak for dinner.,I prepare steak for dinner.\n6342,2014/03/09,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n6343,2014/03/10,I did weight lifting on 2014/03/10.,I did weight lifting on 2014/03/10.\n6344,2014/03/10,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n6345,2014/03/10,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n6346,2014/03/10,I talked to Olivia for 18 minutes in the early evening.,I talked to Olivia for 18 minutes in the early evening.\n6347,2014/03/11,I did weight lifting on 2014/03/11.,I did weight lifting on 2014/03/11.\n6348,2014/03/11,\"I had fish and chips for lunch with Carter, Kayden, Emily, Andrew\",\"I had fish and chips for lunch with Carter, Kayden, Emily, Andrew\"\n6349,2014/03/11,\"I talked to Kinsley, Nevaeh, Piper for 6 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh, Piper for 6 minutes late in the evening.\"\n6350,2014/03/11,\"I spent 15 talking to Piper, Eva, Lydia, Hazel on various topics late in the evening.\",\"I spent 15 talking to Piper, Eva, Lydia, Hazel on various topics late in the evening.\"\n6351,2014/03/11,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n6352,2014/03/11,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n6353,2014/03/12,\"I went grocery shopping. I bought some oranges, apricots, peaches, blackberries, coffee, tea, pineapple juice, milk, and facial wash, mouthwash, shaving cream, mouth wash\",\"I went grocery shopping. I bought some oranges, apricots, peaches, blackberries, coffee, tea, pineapple juice, milk, and facial wash, mouthwash, shaving cream, mouth wash\"\n6354,2014/03/12,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n6355,2014/03/12,I prepare indian food for lunch.,I prepare indian food for lunch.\n6356,2014/03/12,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n6357,2014/03/13,I really enjoyed meditation on 2014/03/13,I really enjoyed meditation on 2014/03/13\n6358,2014/03/13,I did weight lifting on 2014/03/13.,I did weight lifting on 2014/03/13.\n6359,2014/03/13,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n6360,2014/03/13,\"I had steak for dinner with Layla, Kinsley, Nora, Claire, Piper, Lydia, Hazel, Nevaeh, Rylee, Piper, Olivia\",\"I had steak for dinner with Layla, Kinsley, Nora, Claire, Piper, Lydia, Hazel, Nevaeh, Rylee, Piper, Olivia\"\n6361,2014/03/13,\"I spent 38 talking to Avery, Olivia on various topics in the early evening.\",\"I spent 38 talking to Avery, Olivia on various topics in the early evening.\"\n6362,2014/03/13,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n6363,2014/03/14,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n6364,2014/03/14,\"I had tacos for lunch with Kayden, Carter, Emily\",\"I had tacos for lunch with Kayden, Carter, Emily\"\n6365,2014/03/14,I spent 43 talking to Avery on various topics late in the evening.,I spent 43 talking to Avery on various topics late in the evening.\n6366,2014/03/14,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n6367,2014/03/15,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n6368,2014/03/15,I prepare sushi for dinner.,I prepare sushi for dinner.\n6369,2014/03/15,I spent 7 talking to Rylee on various topics in the early evening.,I spent 7 talking to Rylee on various topics in the early evening.\n6370,2014/03/16,\"I went grocery shopping. I bought some mandarins, blackberries, oranges, raspberries, soda, milk, chocolate milk, sports drinks, and toothpaste, conditioner, mouth wash, toothbrush\",\"I went grocery shopping. I bought some mandarins, blackberries, oranges, raspberries, soda, milk, chocolate milk, sports drinks, and toothpaste, conditioner, mouth wash, toothbrush\"\n6371,2014/03/16,\"I had oatmeal for breakfast with Avery, Lydia, Kinsley\",\"I had oatmeal for breakfast with Avery, Lydia, Kinsley\"\n6372,2014/03/16,I had a burger for lunch with Andrew,I had a burger for lunch with Andrew\n6373,2014/03/16,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n6374,2014/03/17,I did HIIT on 2014/03/17.,I did HIIT on 2014/03/17.\n6375,2014/03/17,I had dinner with Andrew. I ate indian food.,I had dinner with Andrew. I ate indian food.\n6376,2014/03/17,\"I spent 8 talking to Hazel, Claire, Kinsley on various topics late in the evening.\",\"I spent 8 talking to Hazel, Claire, Kinsley on various topics late in the evening.\"\n6377,2014/03/17,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n6378,2014/03/18,I did hiking on 2014/03/18.,I did hiking on 2014/03/18.\n6379,2014/03/18,I ate cereals for breakfast.,I ate cereals for breakfast.\n6380,2014/03/18,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n6381,2014/03/18,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n6382,2014/03/19,I ate indian food for dinner.,I ate indian food for dinner.\n6383,2014/03/19,\"I spent 17 talking to Olivia, Piper on various topics in the early afternoon.\",\"I spent 17 talking to Olivia, Piper on various topics in the early afternoon.\"\n6384,2014/03/19,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n6385,2014/03/19,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n6386,2014/03/20,\"I bought some cherres, strawberries, coffee, body lotion, mouth wash, toothpaste, shampoo online.\",\"I bought some cherres, strawberries, coffee, body lotion, mouth wash, toothpaste, shampoo online.\"\n6387,2014/03/20,I did biking on 2014/03/20.,I did biking on 2014/03/20.\n6388,2014/03/20,\"I had breakfast with Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\"\n6389,2014/03/20,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n6390,2014/03/21,\"I spent time yoga on 2014/03/21 with Emily, Andrew, Kayden.\",\"I spent time yoga on 2014/03/21 with Emily, Andrew, Kayden.\"\n6391,2014/03/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n6392,2014/03/21,I talked to Avery for 39 minutes in the early afternoon.,I talked to Avery for 39 minutes in the early afternoon.\n6393,2014/03/21,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n6394,2014/03/22,I did hiking on 2014/03/22.,I did hiking on 2014/03/22.\n6395,2014/03/22,I ate cereals for breakfast.,I ate cereals for breakfast.\n6396,2014/03/22,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n6397,2014/03/22,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n6398,2014/03/23,\"I went grocery shopping. I bought some mangos, soda, guava juice, sports drinks, and shaving cream, toothpaste, mouthwash, facial wash\",\"I went grocery shopping. I bought some mangos, soda, guava juice, sports drinks, and shaving cream, toothpaste, mouthwash, facial wash\"\n6399,2014/03/23,I did HIIT on 2014/03/23.,I did HIIT on 2014/03/23.\n6400,2014/03/23,\"I had lunch with Emily, Kayden. I ate a burger.\",\"I had lunch with Emily, Kayden. I ate a burger.\"\n6401,2014/03/23,\"I had fish and chips for dinner with Lydia, Layla, Olivia, Piper, Hazel, Eva, Claire, Nevaeh, Kinsley, Nora, Rylee, Piper, Avery\",\"I had fish and chips for dinner with Lydia, Layla, Olivia, Piper, Hazel, Eva, Claire, Nevaeh, Kinsley, Nora, Rylee, Piper, Avery\"\n6402,2014/03/23,I spent 49 talking to Layla on various topics late in the evening.,I spent 49 talking to Layla on various topics late in the evening.\n6403,2014/03/24,I went on a date with Alon on 2014/03/24 at a restaurant,I went on a date with Alon on 2014/03/24 at a restaurant\n6404,2014/03/24,I prepare pasta for lunch.,I prepare pasta for lunch.\n6405,2014/03/24,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n6406,2014/03/25,I did biking on 2014/03/25.,I did biking on 2014/03/25.\n6407,2014/03/25,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n6408,2014/03/25,I ate indian food for dinner.,I ate indian food for dinner.\n6409,2014/03/26,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n6410,2014/03/26,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n6411,2014/03/26,I spent 26 talking to Rylee on various topics in the morning.,I spent 26 talking to Rylee on various topics in the morning.\n6412,2014/03/26,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n6413,2014/03/27,I did weight lifting on 2014/03/27.,I did weight lifting on 2014/03/27.\n6414,2014/03/27,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n6415,2014/03/27,\"I had dinner with Claire, Rylee, Nora. I ate sushi.\",\"I had dinner with Claire, Rylee, Nora. I ate sushi.\"\n6416,2014/03/27,I spent 42 talking to Hazel on various topics late in the evening.,I spent 42 talking to Hazel on various topics late in the evening.\n6417,2014/03/27,\"I talked to Claire, Nora for 27 minutes during lunch hours.\",\"I talked to Claire, Nora for 27 minutes during lunch hours.\"\n6418,2014/03/28,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n6419,2014/03/28,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n6420,2014/03/29,I went on a date with Jace on 2014/03/29 at a restaurant,I went on a date with Jace on 2014/03/29 at a restaurant\n6421,2014/03/29,\"I had toast and cheese for breakfast with Kayden, Carter\",\"I had toast and cheese for breakfast with Kayden, Carter\"\n6422,2014/03/29,\"I had lunch with Kayden, Emily, Andrew, Carter. I ate a burger.\",\"I had lunch with Kayden, Emily, Andrew, Carter. I ate a burger.\"\n6423,2014/03/29,\"I had sandwich for dinner with Rylee, Layla, Olivia, Nevaeh, Piper, Eva\",\"I had sandwich for dinner with Rylee, Layla, Olivia, Nevaeh, Piper, Eva\"\n6424,2014/03/29,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n6425,2014/03/29,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n6426,2014/03/30,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n6427,2014/03/30,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n6428,2014/03/31,I did biking on 2014/03/31.,I did biking on 2014/03/31.\n6429,2014/03/31,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n6430,2014/03/31,\"I spent 9 talking to Layla, Hazel on various topics in the early afternoon.\",\"I spent 9 talking to Layla, Hazel on various topics in the early afternoon.\"\n6431,2014/03/31,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n6432,2014/04/01,I did running on 2014/04/01.,I did running on 2014/04/01.\n6433,2014/04/01,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n6434,2014/04/01,I ate sandwich for lunch.,I ate sandwich for lunch.\n6435,2014/04/01,\"I had pasta for dinner with Rylee, Piper, Avery, Olivia, Lydia, Layla, Nevaeh\",\"I had pasta for dinner with Rylee, Piper, Avery, Olivia, Lydia, Layla, Nevaeh\"\n6436,2014/04/01,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n6437,2014/04/01,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n6438,2014/04/02,I did hiking on 2014/04/02.,I did hiking on 2014/04/02.\n6439,2014/04/02,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n6440,2014/04/02,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n6441,2014/04/02,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n6442,2014/04/02,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n6443,2014/04/03,I ate steak for lunch.,I ate steak for lunch.\n6444,2014/04/03,\"I had dinner with Kayden, Andrew, Emily, Carter. I ate indian food.\",\"I had dinner with Kayden, Andrew, Emily, Carter. I ate indian food.\"\n6445,2014/04/03,\"I talked to Olivia, Piper, Lydia for 23 minutes during lunch hours.\",\"I talked to Olivia, Piper, Lydia for 23 minutes during lunch hours.\"\n6446,2014/04/03,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n6447,2014/04/04,I really enjoyed gardening on 2014/04/04,I really enjoyed gardening on 2014/04/04\n6448,2014/04/04,\"I bought some oranges, blueberries, strawberries, cherres, chocolate milk, milk, apple juice, mouth wash from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\",\"I bought some oranges, blueberries, strawberries, cherres, chocolate milk, milk, apple juice, mouth wash from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\"\n6449,2014/04/04,I did swimming on 2014/04/04.,I did swimming on 2014/04/04.\n6450,2014/04/04,I had breakfast with Andrew. I ate cereals.,I had breakfast with Andrew. I ate cereals.\n6451,2014/04/04,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n6452,2014/04/04,I had dinner with Emily. I ate chinese food.,I had dinner with Emily. I ate chinese food.\n6453,2014/04/04,\"I talked to Kinsley, Rylee for 14 minutes during lunch hours.\",\"I talked to Kinsley, Rylee for 14 minutes during lunch hours.\"\n6454,2014/04/05,I did swimming on 2014/04/05.,I did swimming on 2014/04/05.\n6455,2014/04/05,\"I talked to Rylee, Piper for 52 minutes in the early afternoon.\",\"I talked to Rylee, Piper for 52 minutes in the early afternoon.\"\n6456,2014/04/05,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n6457,2014/04/05,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n6458,2014/04/06,I did running on 2014/04/06.,I did running on 2014/04/06.\n6459,2014/04/06,\"I had breakfast with Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily. I ate eggs, sausages, and bread.\"\n6460,2014/04/06,\"I had dinner with Lydia, Hazel, Nevaeh, Avery, Rylee, Olivia, Layla, Eva. I ate pasta.\",\"I had dinner with Lydia, Hazel, Nevaeh, Avery, Rylee, Olivia, Layla, Eva. I ate pasta.\"\n6461,2014/04/07,\"I had breakfast with Eva, Piper, Nevaeh. I ate cereals.\",\"I had breakfast with Eva, Piper, Nevaeh. I ate cereals.\"\n6462,2014/04/07,\"I had sushi for lunch with Andrew, Kayden\",\"I had sushi for lunch with Andrew, Kayden\"\n6463,2014/04/07,\"I had a burger for dinner with Jackson, Benjamin, Avery\",\"I had a burger for dinner with Jackson, Benjamin, Avery\"\n6464,2014/04/07,\"I spent 34 talking to Layla, Olivia on various topics in the late afternoon.\",\"I spent 34 talking to Layla, Olivia on various topics in the late afternoon.\"\n6465,2014/04/07,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n6466,2014/04/08,I really enjoyed meditation on 2014/04/08,I really enjoyed meditation on 2014/04/08\n6467,2014/04/08,I ate a burger for lunch.,I ate a burger for lunch.\n6468,2014/04/08,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n6469,2014/04/08,\"I talked to Piper, Nevaeh for 9 minutes in the morning.\",\"I talked to Piper, Nevaeh for 9 minutes in the morning.\"\n6470,2014/04/08,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n6471,2014/04/09,I did HIIT on 2014/04/09.,I did HIIT on 2014/04/09.\n6472,2014/04/09,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n6473,2014/04/09,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n6474,2014/04/10,\"I went grocery shopping with Emily. I bought some bananas, coffee, chocolate milk, tea, apple juice, and toothbrush, paper towel\",\"I went grocery shopping with Emily. I bought some bananas, coffee, chocolate milk, tea, apple juice, and toothbrush, paper towel\"\n6475,2014/04/10,I did swimming on 2014/04/10.,I did swimming on 2014/04/10.\n6476,2014/04/10,\"I had lunch with Emily, Kayden, Carter. I ate sushi.\",\"I had lunch with Emily, Kayden, Carter. I ate sushi.\"\n6477,2014/04/10,I prepare indian food for dinner.,I prepare indian food for dinner.\n6478,2014/04/10,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n6479,2014/04/10,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n6480,2014/04/11,I did hiking on 2014/04/11.,I did hiking on 2014/04/11.\n6481,2014/04/11,\"I had dinner with Kayden, Carter, Emily, Andrew. I ate sandwich.\",\"I had dinner with Kayden, Carter, Emily, Andrew. I ate sandwich.\"\n6482,2014/04/11,\"I talked to Lydia, Piper for 6 minutes late in the evening.\",\"I talked to Lydia, Piper for 6 minutes late in the evening.\"\n6483,2014/04/11,\"I talked to Nevaeh, Avery, Layla for 37 minutes late in the evening.\",\"I talked to Nevaeh, Avery, Layla for 37 minutes late in the evening.\"\n6484,2014/04/12,\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate toast and cheese.\",\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate toast and cheese.\"\n6485,2014/04/12,I ate a burger for lunch.,I ate a burger for lunch.\n6486,2014/04/12,\"I had dinner with Nevaeh, Rylee, Layla, Nora, Claire, Olivia, Kinsley, Eva, Piper. I ate indian food.\",\"I had dinner with Nevaeh, Rylee, Layla, Nora, Claire, Olivia, Kinsley, Eva, Piper. I ate indian food.\"\n6487,2014/04/12,\"I spent 7 talking to Nora, Layla, Kinsley on various topics late in the evening.\",\"I spent 7 talking to Nora, Layla, Kinsley on various topics late in the evening.\"\n6488,2014/04/12,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n6489,2014/04/13,\"I spent time gardening on 2014/04/13 with Kayden, Andrew, Carter.\",\"I spent time gardening on 2014/04/13 with Kayden, Andrew, Carter.\"\n6490,2014/04/13,I did weight lifting on 2014/04/13.,I did weight lifting on 2014/04/13.\n6491,2014/04/13,I ate cereals for breakfast.,I ate cereals for breakfast.\n6492,2014/04/13,\"I had dinner with Nora, Avery, Rylee, Lydia, Nevaeh. I ate pasta.\",\"I had dinner with Nora, Avery, Rylee, Lydia, Nevaeh. I ate pasta.\"\n6493,2014/04/13,I spent 15 talking to Rylee on various topics in the early afternoon.,I spent 15 talking to Rylee on various topics in the early afternoon.\n6494,2014/04/13,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n6495,2014/04/13,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n6496,2014/04/14,\"I had breakfast with Kayden, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Carter. I ate eggs, sausages, and bread.\"\n6497,2014/04/14,\"I had chinese food for lunch with Piper, Lydia, Nevaeh\",\"I had chinese food for lunch with Piper, Lydia, Nevaeh\"\n6498,2014/04/14,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n6499,2014/04/14,I talked to Eva for 17 minutes during lunch hours.,I talked to Eva for 17 minutes during lunch hours.\n6500,2014/04/15,I did running on 2014/04/15.,I did running on 2014/04/15.\n6501,2014/04/15,I prepare steak for lunch.,I prepare steak for lunch.\n6502,2014/04/15,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n6503,2014/04/15,\"I talked to Piper, Avery, Claire, Hazel for 7 minutes in the early afternoon.\",\"I talked to Piper, Avery, Claire, Hazel for 7 minutes in the early afternoon.\"\n6504,2014/04/16,\"I bought some apricots, guava, peaches, watermelons, apple juice, toothpaste, paper towel, shaving cream, toilet paper from the grocery store. I saw Willow at the grocery store.\",\"I bought some apricots, guava, peaches, watermelons, apple juice, toothpaste, paper towel, shaving cream, toilet paper from the grocery store. I saw Willow at the grocery store.\"\n6505,2014/04/16,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n6506,2014/04/16,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n6507,2014/04/16,I spent 16 talking to Piper on various topics in the early evening.,I spent 16 talking to Piper on various topics in the early evening.\n6508,2014/04/16,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n6509,2014/04/17,I spent 40 talking to Eva on various topics late in the evening.,I spent 40 talking to Eva on various topics late in the evening.\n6510,2014/04/17,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n6511,2014/04/17,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n6512,2014/04/18,I did hiking on 2014/04/18.,I did hiking on 2014/04/18.\n6513,2014/04/18,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n6514,2014/04/18,I prepare sushi for dinner.,I prepare sushi for dinner.\n6515,2014/04/18,\"I spent 14 talking to Nora, Piper, Eva, Layla on various topics in the morning.\",\"I spent 14 talking to Nora, Piper, Eva, Layla on various topics in the morning.\"\n6516,2014/04/19,I did HIIT on 2014/04/19.,I did HIIT on 2014/04/19.\n6517,2014/04/19,\"I had lunch with Jackson, Benjamin, Willow. I ate pasta.\",\"I had lunch with Jackson, Benjamin, Willow. I ate pasta.\"\n6518,2014/04/19,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n6519,2014/04/19,I spent 54 talking to Nevaeh on various topics in the morning.,I spent 54 talking to Nevaeh on various topics in the morning.\n6520,2014/04/20,I did swimming on 2014/04/20.,I did swimming on 2014/04/20.\n6521,2014/04/20,I ate cereals for breakfast.,I ate cereals for breakfast.\n6522,2014/04/20,\"I had pasta for lunch with Hazel, Avery, Eva, Claire, Nora, Piper\",\"I had pasta for lunch with Hazel, Avery, Eva, Claire, Nora, Piper\"\n6523,2014/04/20,I ate pasta for dinner.,I ate pasta for dinner.\n6524,2014/04/20,I talked to Kinsley for 11 minutes late in the evening.,I talked to Kinsley for 11 minutes late in the evening.\n6525,2014/04/20,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n6526,2014/04/20,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n6527,2014/04/21,I did hiking on 2014/04/21.,I did hiking on 2014/04/21.\n6528,2014/04/21,I prepare tacos for lunch.,I prepare tacos for lunch.\n6529,2014/04/21,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n6530,2014/04/22,I went on a date with Sophie on 2014/04/22 at a coffee Shop,I went on a date with Sophie on 2014/04/22 at a coffee Shop\n6531,2014/04/22,I ate tacos for lunch.,I ate tacos for lunch.\n6532,2014/04/22,I prepare tacos for dinner.,I prepare tacos for dinner.\n6533,2014/04/22,\"I talked to Olivia, Piper, Piper for 11 minutes in the early evening.\",\"I talked to Olivia, Piper, Piper for 11 minutes in the early evening.\"\n6534,2014/04/22,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n6535,2014/04/23,I prepare pasta for lunch.,I prepare pasta for lunch.\n6536,2014/04/23,I prepare tacos for dinner.,I prepare tacos for dinner.\n6537,2014/04/23,I spent 29 talking to Olivia on various topics during lunch hours.,I spent 29 talking to Olivia on various topics during lunch hours.\n6538,2014/04/23,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n6539,2014/04/24,I did running on 2014/04/24.,I did running on 2014/04/24.\n6540,2014/04/24,\"I had breakfast with Kayden, Andrew, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Andrew, Carter. I ate eggs, sausages, and bread.\"\n6541,2014/04/24,I spent 26 talking to Eva on various topics during lunch hours.,I spent 26 talking to Eva on various topics during lunch hours.\n6542,2014/04/24,I talked to Nevaeh for 41 minutes in the early afternoon.,I talked to Nevaeh for 41 minutes in the early afternoon.\n6543,2014/04/24,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n6544,2014/04/24,I watched a movie for 54 minutes on TV today.,I watched a movie for 54 minutes on TV today.\n6545,2014/04/25,I did HIIT on 2014/04/25.,I did HIIT on 2014/04/25.\n6546,2014/04/25,I prepare indian food for lunch.,I prepare indian food for lunch.\n6547,2014/04/25,\"I talked to Eva, Layla, Piper for 16 minutes in the late afternoon.\",\"I talked to Eva, Layla, Piper for 16 minutes in the late afternoon.\"\n6548,2014/04/25,\"I talked to Claire, Hazel, Olivia for 22 minutes in the early afternoon.\",\"I talked to Claire, Hazel, Olivia for 22 minutes in the early afternoon.\"\n6549,2014/04/25,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n6550,2014/04/26,\"I was baking carrot cake on 2014/04/26 with Piper, Nora, Rylee, Piper at my place\",\"I was baking carrot cake on 2014/04/26 with Piper, Nora, Rylee, Piper at my place\"\n6551,2014/04/26,I ate pasta for dinner.,I ate pasta for dinner.\n6552,2014/04/26,\"I spent 33 talking to Avery, Eva, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 33 talking to Avery, Eva, Piper, Nevaeh on various topics in the late afternoon.\"\n6553,2014/04/26,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n6554,2014/04/26,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n6555,2014/04/27,\"I bought some bananas, guava, sports drinks, chocolate milk, pineapple juice, mineral water, shampoo, facial wash, mouthwash, toilet paper from the grocery store. I saw Emily, Andrew, Kayden at the grocery store.\",\"I bought some bananas, guava, sports drinks, chocolate milk, pineapple juice, mineral water, shampoo, facial wash, mouthwash, toilet paper from the grocery store. I saw Emily, Andrew, Kayden at the grocery store.\"\n6556,2014/04/27,\"I had dinner with Carter, Emily, Andrew, Kayden. I ate tacos.\",\"I had dinner with Carter, Emily, Andrew, Kayden. I ate tacos.\"\n6557,2014/04/27,\"I talked to Hazel, Avery, Olivia for 31 minutes during lunch hours.\",\"I talked to Hazel, Avery, Olivia for 31 minutes during lunch hours.\"\n6558,2014/04/27,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n6559,2014/04/27,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n6560,2014/04/28,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n6561,2014/04/28,\"I had lunch with Jackson, Benjamin. I ate a burger.\",\"I had lunch with Jackson, Benjamin. I ate a burger.\"\n6562,2014/04/29,\"I had peanut-butter-jam for breakfast with Benjamin, Avery\",\"I had peanut-butter-jam for breakfast with Benjamin, Avery\"\n6563,2014/04/29,I had sandwich for lunch with Emily,I had sandwich for lunch with Emily\n6564,2014/04/29,I had dinner with Emily. I ate a burger.,I had dinner with Emily. I ate a burger.\n6565,2014/04/29,\"I talked to Olivia, Hazel for 46 minutes in the morning.\",\"I talked to Olivia, Hazel for 46 minutes in the morning.\"\n6566,2014/04/29,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n6567,2014/04/29,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n6568,2014/04/30,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n6569,2014/04/30,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n6570,2014/04/30,\"I talked to Olivia, Kinsley for 23 minutes in the late afternoon.\",\"I talked to Olivia, Kinsley for 23 minutes in the late afternoon.\"\n6571,2014/04/30,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n6572,2014/05/01,I did HIIT on 2014/05/01.,I did HIIT on 2014/05/01.\n6573,2014/05/01,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n6574,2014/05/01,\"I spent 15 talking to Kinsley, Nevaeh, Hazel, Piper on various topics in the early afternoon.\",\"I spent 15 talking to Kinsley, Nevaeh, Hazel, Piper on various topics in the early afternoon.\"\n6575,2014/05/01,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n6576,2014/05/02,\"I had dinner with Benjamin, Willow, Avery, Jackson. I ate chinese food.\",\"I had dinner with Benjamin, Willow, Avery, Jackson. I ate chinese food.\"\n6577,2014/05/02,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n6578,2014/05/02,I watched a documentary for 45 minutes on TV today.,I watched a documentary for 45 minutes on TV today.\n6579,2014/05/03,\"I had eggs, sausages, and bread for breakfast with Carter\",\"I had eggs, sausages, and bread for breakfast with Carter\"\n6580,2014/05/03,I had sushi for lunch with Carter,I had sushi for lunch with Carter\n6581,2014/05/03,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n6582,2014/05/03,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n6583,2014/05/03,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n6584,2014/05/04,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n6585,2014/05/04,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n6586,2014/05/05,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n6587,2014/05/05,\"I talked to Avery, Nevaeh, Eva, Olivia for 9 minutes during lunch hours.\",\"I talked to Avery, Nevaeh, Eva, Olivia for 9 minutes during lunch hours.\"\n6588,2014/05/05,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n6589,2014/05/05,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n6590,2014/05/06,I did HIIT on 2014/05/06.,I did HIIT on 2014/05/06.\n6591,2014/05/06,I ate chinese food for lunch.,I ate chinese food for lunch.\n6592,2014/05/06,I talked to Hazel for 7 minutes in the early afternoon.,I talked to Hazel for 7 minutes in the early afternoon.\n6593,2014/05/06,\"I spent 51 talking to Claire, Layla, Nevaeh, Rylee on various topics in the late afternoon.\",\"I spent 51 talking to Claire, Layla, Nevaeh, Rylee on various topics in the late afternoon.\"\n6594,2014/05/06,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n6595,2014/05/06,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n6596,2014/05/07,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n6597,2014/05/07,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n6598,2014/05/07,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n6599,2014/05/07,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n6600,2014/05/08,I went on a date with Samuel on 2014/05/08 at a park,I went on a date with Samuel on 2014/05/08 at a park\n6601,2014/05/08,\"I went grocery shopping. I bought some watermelons, mandarins, guava, soda, orange juice, mango juice, and paper towel, toilet paper, shampoo, shaving cream\",\"I went grocery shopping. I bought some watermelons, mandarins, guava, soda, orange juice, mango juice, and paper towel, toilet paper, shampoo, shaving cream\"\n6602,2014/05/08,I did weight lifting on 2014/05/08.,I did weight lifting on 2014/05/08.\n6603,2014/05/08,I had lunch. I ate steak.,I had lunch. I ate steak.\n6604,2014/05/08,\"I had dinner with Carter, Kayden, Andrew, Emily. I ate chinese food.\",\"I had dinner with Carter, Kayden, Andrew, Emily. I ate chinese food.\"\n6605,2014/05/08,\"I spent 23 talking to Layla, Olivia, Nevaeh on various topics in the early evening.\",\"I spent 23 talking to Layla, Olivia, Nevaeh on various topics in the early evening.\"\n6606,2014/05/09,I did weight lifting on 2014/05/09.,I did weight lifting on 2014/05/09.\n6607,2014/05/09,\"I had eggs, sausages, and bread for breakfast with Layla, Rylee, Eva\",\"I had eggs, sausages, and bread for breakfast with Layla, Rylee, Eva\"\n6608,2014/05/09,I ate chinese food for lunch.,I ate chinese food for lunch.\n6609,2014/05/09,\"I talked to Hazel, Kinsley, Nora for 13 minutes in the morning.\",\"I talked to Hazel, Kinsley, Nora for 13 minutes in the morning.\"\n6610,2014/05/09,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n6611,2014/05/10,I spent time learning a language on 2014/05/10 with Benjamin.,I spent time learning a language on 2014/05/10 with Benjamin.\n6612,2014/05/10,\"I went grocery shopping. I bought some oranges, mineral water, orange juice, soda, and shaving cream, toothpaste, paper towel, conditioner\",\"I went grocery shopping. I bought some oranges, mineral water, orange juice, soda, and shaving cream, toothpaste, paper towel, conditioner\"\n6613,2014/05/10,I had breakfast with Andrew. I ate pancakes.,I had breakfast with Andrew. I ate pancakes.\n6614,2014/05/10,\"I spent 6 talking to Nora, Lydia on various topics in the early evening.\",\"I spent 6 talking to Nora, Lydia on various topics in the early evening.\"\n6615,2014/05/10,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n6616,2014/05/10,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n6617,2014/05/11,\"I had lunch with Andrew, Emily, Carter, Kayden. I ate indian food.\",\"I had lunch with Andrew, Emily, Carter, Kayden. I ate indian food.\"\n6618,2014/05/11,I ate a burger for dinner.,I ate a burger for dinner.\n6619,2014/05/11,I spent 55 talking to Nora on various topics in the late afternoon.,I spent 55 talking to Nora on various topics in the late afternoon.\n6620,2014/05/11,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n6621,2014/05/12,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n6622,2014/05/12,I had indian food for lunch with Emily,I had indian food for lunch with Emily\n6623,2014/05/12,\"I talked to Avery, Nevaeh, Piper, Olivia for 52 minutes during lunch hours.\",\"I talked to Avery, Nevaeh, Piper, Olivia for 52 minutes during lunch hours.\"\n6624,2014/05/12,\"I spent 24 talking to Nevaeh, Avery, Nora on various topics in the early afternoon.\",\"I spent 24 talking to Nevaeh, Avery, Nora on various topics in the early afternoon.\"\n6625,2014/05/12,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n6626,2014/05/12,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n6627,2014/05/13,\"I had pancakes for breakfast with Andrew, Kayden, Carter\",\"I had pancakes for breakfast with Andrew, Kayden, Carter\"\n6628,2014/05/13,I had lunch with Andrew. I ate steak.,I had lunch with Andrew. I ate steak.\n6629,2014/05/13,I ate steak for dinner.,I ate steak for dinner.\n6630,2014/05/13,\"I talked to Hazel, Eva, Lydia, Claire for 5 minutes in the early evening.\",\"I talked to Hazel, Eva, Lydia, Claire for 5 minutes in the early evening.\"\n6631,2014/05/13,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n6632,2014/05/14,I did hiking on 2014/05/14.,I did hiking on 2014/05/14.\n6633,2014/05/14,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n6634,2014/05/14,\"I had sushi for dinner with Emily, Carter, Kayden, Andrew\",\"I had sushi for dinner with Emily, Carter, Kayden, Andrew\"\n6635,2014/05/14,\"I spent 52 talking to Rylee, Nora, Kinsley, Nevaeh on various topics in the early evening.\",\"I spent 52 talking to Rylee, Nora, Kinsley, Nevaeh on various topics in the early evening.\"\n6636,2014/05/14,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n6637,2014/05/15,\"On 2014/05/15, I took Jane on a date to a park\",\"On 2014/05/15, I took Jane on a date to a park\"\n6638,2014/05/15,I spent some time meditation on 2014/05/15.,I spent some time meditation on 2014/05/15.\n6639,2014/05/15,I did swimming on 2014/05/15.,I did swimming on 2014/05/15.\n6640,2014/05/15,\"I had dinner with Carter, Emily, Kayden. I ate sandwich.\",\"I had dinner with Carter, Emily, Kayden. I ate sandwich.\"\n6641,2014/05/15,I watched news for 5 minutes on TV today.,I watched news for 5 minutes on TV today.\n6642,2014/05/16,I did HIIT on 2014/05/16.,I did HIIT on 2014/05/16.\n6643,2014/05/16,\"I had cereals for breakfast with Emily, Carter, Kayden, Andrew\",\"I had cereals for breakfast with Emily, Carter, Kayden, Andrew\"\n6644,2014/05/16,I prepare pasta for dinner.,I prepare pasta for dinner.\n6645,2014/05/16,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n6646,2014/05/16,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n6647,2014/05/17,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n6648,2014/05/17,I prepare tacos for lunch.,I prepare tacos for lunch.\n6649,2014/05/17,I spent 50 talking to Piper on various topics in the early evening.,I spent 50 talking to Piper on various topics in the early evening.\n6650,2014/05/17,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n6651,2014/05/18,\"I bought some pineapples, peaches, clementines, apple juice, mouth wash, mouthwash, conditioner, toilet paper from the grocery store. I saw Piper, Nora, Kinsley, Piper, Hazel, Lydia, Avery at the grocery store.\",\"I bought some pineapples, peaches, clementines, apple juice, mouth wash, mouthwash, conditioner, toilet paper from the grocery store. I saw Piper, Nora, Kinsley, Piper, Hazel, Lydia, Avery at the grocery store.\"\n6652,2014/05/18,I did biking on 2014/05/18.,I did biking on 2014/05/18.\n6653,2014/05/18,\"I had a burger for lunch with Carter, Andrew\",\"I had a burger for lunch with Carter, Andrew\"\n6654,2014/05/18,I ate sushi for dinner.,I ate sushi for dinner.\n6655,2014/05/18,\"I spent 44 talking to Rylee, Piper, Eva, Layla on various topics during lunch hours.\",\"I spent 44 talking to Rylee, Piper, Eva, Layla on various topics during lunch hours.\"\n6656,2014/05/18,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n6657,2014/05/18,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n6658,2014/05/19,I did running on 2014/05/19.,I did running on 2014/05/19.\n6659,2014/05/19,I ate sandwich for dinner.,I ate sandwich for dinner.\n6660,2014/05/19,I spent 40 talking to Piper on various topics in the early evening.,I spent 40 talking to Piper on various topics in the early evening.\n6661,2014/05/19,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n6662,2014/05/20,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n6663,2014/05/20,\"I had lunch with Nevaeh, Olivia, Eva, Kinsley. I ate indian food.\",\"I had lunch with Nevaeh, Olivia, Eva, Kinsley. I ate indian food.\"\n6664,2014/05/20,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n6665,2014/05/20,\"I talked to Nevaeh, Olivia, Layla, Eva for 29 minutes in the early evening.\",\"I talked to Nevaeh, Olivia, Layla, Eva for 29 minutes in the early evening.\"\n6666,2014/05/20,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n6667,2014/05/20,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n6668,2014/05/21,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n6669,2014/05/21,I ate chinese food for lunch.,I ate chinese food for lunch.\n6670,2014/05/21,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n6671,2014/05/21,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n6672,2014/05/22,I did weight lifting on 2014/05/22.,I did weight lifting on 2014/05/22.\n6673,2014/05/22,I ate indian food for dinner.,I ate indian food for dinner.\n6674,2014/05/22,\"I talked to Piper, Kinsley, Eva, Piper for 14 minutes late in the evening.\",\"I talked to Piper, Kinsley, Eva, Piper for 14 minutes late in the evening.\"\n6675,2014/05/23,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n6676,2014/05/24,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n6677,2014/05/24,I had dinner with Hazel. I ate sandwich.,I had dinner with Hazel. I ate sandwich.\n6678,2014/05/24,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n6679,2014/05/25,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n6680,2014/05/25,I talked to Kinsley for 10 minutes in the early evening.,I talked to Kinsley for 10 minutes in the early evening.\n6681,2014/05/25,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n6682,2014/05/25,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n6683,2014/05/26,\"I was cooking turkey shepherd’s pie on 2014/05/26 with Carter, Andrew at my place\",\"I was cooking turkey shepherd’s pie on 2014/05/26 with Carter, Andrew at my place\"\n6684,2014/05/26,\"I bought some apples, strawberries, guava juice, tea, pineapple juice, toothbrush, mouth wash from the grocery store. I saw Jackson at the grocery store.\",\"I bought some apples, strawberries, guava juice, tea, pineapple juice, toothbrush, mouth wash from the grocery store. I saw Jackson at the grocery store.\"\n6685,2014/05/26,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n6686,2014/05/26,\"I talked to Lydia, Piper, Claire, Olivia for 13 minutes in the late afternoon.\",\"I talked to Lydia, Piper, Claire, Olivia for 13 minutes in the late afternoon.\"\n6687,2014/05/26,\"I talked to Lydia, Layla for 51 minutes in the late afternoon.\",\"I talked to Lydia, Layla for 51 minutes in the late afternoon.\"\n6688,2014/05/27,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n6689,2014/05/27,I spent 43 minutes watching news on TV today.,I spent 43 minutes watching news on TV today.\n6690,2014/05/28,\"I had pancakes for breakfast with Claire, Olivia, Layla, Eva\",\"I had pancakes for breakfast with Claire, Olivia, Layla, Eva\"\n6691,2014/05/28,\"I talked to Nora, Piper, Olivia, Hazel for 14 minutes late in the evening.\",\"I talked to Nora, Piper, Olivia, Hazel for 14 minutes late in the evening.\"\n6692,2014/05/28,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n6693,2014/05/28,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n6694,2014/05/29,I did swimming on 2014/05/29.,I did swimming on 2014/05/29.\n6695,2014/05/29,\"I spent 17 talking to Piper, Olivia on various topics in the morning.\",\"I spent 17 talking to Piper, Olivia on various topics in the morning.\"\n6696,2014/05/29,\"I spent 55 talking to Nora, Lydia, Kinsley on various topics in the early afternoon.\",\"I spent 55 talking to Nora, Lydia, Kinsley on various topics in the early afternoon.\"\n6697,2014/05/30,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n6698,2014/05/30,\"I had lunch with Carter, Emily, Kayden. I ate sandwich.\",\"I had lunch with Carter, Emily, Kayden. I ate sandwich.\"\n6699,2014/05/30,\"I spent 6 talking to Lydia, Nora on various topics late in the evening.\",\"I spent 6 talking to Lydia, Nora on various topics late in the evening.\"\n6700,2014/05/30,\"I talked to Hazel, Avery for 45 minutes in the late afternoon.\",\"I talked to Hazel, Avery for 45 minutes in the late afternoon.\"\n6701,2014/05/31,I did weight lifting on 2014/05/31.,I did weight lifting on 2014/05/31.\n6702,2014/05/31,\"I had cereals for breakfast with Avery, Layla, Piper, Rylee, Nevaeh, Piper, Claire, Olivia\",\"I had cereals for breakfast with Avery, Layla, Piper, Rylee, Nevaeh, Piper, Claire, Olivia\"\n6703,2014/05/31,\"I talked to Hazel, Rylee, Avery for 32 minutes in the morning.\",\"I talked to Hazel, Rylee, Avery for 32 minutes in the morning.\"\n6704,2014/06/01,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n6705,2014/06/01,I spent 29 talking to Nevaeh on various topics late in the evening.,I spent 29 talking to Nevaeh on various topics late in the evening.\n6706,2014/06/01,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n6707,2014/06/01,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n6708,2014/06/02,I did biking on 2014/06/02.,I did biking on 2014/06/02.\n6709,2014/06/02,\"I had lunch with Kayden, Carter, Andrew. I ate sandwich.\",\"I had lunch with Kayden, Carter, Andrew. I ate sandwich.\"\n6710,2014/06/02,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n6711,2014/06/02,I spent 34 talking to Piper on various topics in the early afternoon.,I spent 34 talking to Piper on various topics in the early afternoon.\n6712,2014/06/02,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n6713,2014/06/03,\"I bought some raspberries, oranges, guava juice, conditioner online.\",\"I bought some raspberries, oranges, guava juice, conditioner online.\"\n6714,2014/06/03,I had cereals for breakfast with Kayden,I had cereals for breakfast with Kayden\n6715,2014/06/03,I had fish and chips for dinner with Layla,I had fish and chips for dinner with Layla\n6716,2014/06/03,\"I spent 41 talking to Avery, Piper, Claire on various topics in the early evening.\",\"I spent 41 talking to Avery, Piper, Claire on various topics in the early evening.\"\n6717,2014/06/04,\"I bought some mandarins, nectarines, milk, tea, paper towel, mouthwash, toothpaste online.\",\"I bought some mandarins, nectarines, milk, tea, paper towel, mouthwash, toothpaste online.\"\n6718,2014/06/04,I did running on 2014/06/04.,I did running on 2014/06/04.\n6719,2014/06/04,I prepare steak for lunch.,I prepare steak for lunch.\n6720,2014/06/04,I talked to Piper for 16 minutes during lunch hours.,I talked to Piper for 16 minutes during lunch hours.\n6721,2014/06/04,I talked to Olivia for 7 minutes in the late afternoon.,I talked to Olivia for 7 minutes in the late afternoon.\n6722,2014/06/04,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n6723,2014/06/05,I did HIIT on 2014/06/05.,I did HIIT on 2014/06/05.\n6724,2014/06/05,I ate cereals for breakfast.,I ate cereals for breakfast.\n6725,2014/06/05,I prepare sushi for lunch.,I prepare sushi for lunch.\n6726,2014/06/05,I talked to Layla for 10 minutes in the early afternoon.,I talked to Layla for 10 minutes in the early afternoon.\n6727,2014/06/05,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n6728,2014/06/06,I did swimming on 2014/06/06.,I did swimming on 2014/06/06.\n6729,2014/06/06,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n6730,2014/06/06,I prepare pasta for dinner.,I prepare pasta for dinner.\n6731,2014/06/06,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n6732,2014/06/07,I did hiking on 2014/06/07.,I did hiking on 2014/06/07.\n6733,2014/06/07,I watched a documentary for 28 minutes on TV today.,I watched a documentary for 28 minutes on TV today.\n6734,2014/06/08,I did weight lifting on 2014/06/08.,I did weight lifting on 2014/06/08.\n6735,2014/06/08,\"I had breakfast with Jackson, Avery. I ate cereals.\",\"I had breakfast with Jackson, Avery. I ate cereals.\"\n6736,2014/06/08,\"I spent 10 talking to Eva, Piper on various topics in the early afternoon.\",\"I spent 10 talking to Eva, Piper on various topics in the early afternoon.\"\n6737,2014/06/08,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n6738,2014/06/09,\"I entertained Andrew, Kayden at my place on 2014/06/09 and bake chrissy teigen’s 3-ingredient chocolate mousse, birthday cupcakes with white wine buttercream\",\"I entertained Andrew, Kayden at my place on 2014/06/09 and bake chrissy teigen’s 3-ingredient chocolate mousse, birthday cupcakes with white wine buttercream\"\n6739,2014/06/09,I did running on 2014/06/09.,I did running on 2014/06/09.\n6740,2014/06/09,I had pancakes for breakfast with Emily,I had pancakes for breakfast with Emily\n6741,2014/06/09,I prepare tacos for lunch.,I prepare tacos for lunch.\n6742,2014/06/09,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n6743,2014/06/09,\"I spent 43 talking to Rylee, Piper, Piper on various topics during lunch hours.\",\"I spent 43 talking to Rylee, Piper, Piper on various topics during lunch hours.\"\n6744,2014/06/09,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n6745,2014/06/10,I did HIIT on 2014/06/10.,I did HIIT on 2014/06/10.\n6746,2014/06/10,I ate sandwich for lunch.,I ate sandwich for lunch.\n6747,2014/06/10,\"I talked to Hazel, Nora for 33 minutes in the morning.\",\"I talked to Hazel, Nora for 33 minutes in the morning.\"\n6748,2014/06/10,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n6749,2014/06/10,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n6750,2014/06/11,I went on a date with Caroline on 2014/06/11 at a restaurant,I went on a date with Caroline on 2014/06/11 at a restaurant\n6751,2014/06/11,I had pancakes for breakfast with Andrew,I had pancakes for breakfast with Andrew\n6752,2014/06/11,\"I talked to Rylee, Piper, Nora for 29 minutes in the early evening.\",\"I talked to Rylee, Piper, Nora for 29 minutes in the early evening.\"\n6753,2014/06/12,\"I bought some oranges, tea, chocolate milk, pineapple juice, mineral water, toothpaste, mouth wash, facial wash from the grocery store. I saw Emily, Carter, Andrew at the grocery store.\",\"I bought some oranges, tea, chocolate milk, pineapple juice, mineral water, toothpaste, mouth wash, facial wash from the grocery store. I saw Emily, Carter, Andrew at the grocery store.\"\n6754,2014/06/12,\"I had a burger for dinner with Rylee, Hazel, Piper, Lydia, Olivia, Piper, Eva, Layla\",\"I had a burger for dinner with Rylee, Hazel, Piper, Lydia, Olivia, Piper, Eva, Layla\"\n6755,2014/06/12,\"I spent 46 talking to Avery, Claire on various topics in the late afternoon.\",\"I spent 46 talking to Avery, Claire on various topics in the late afternoon.\"\n6756,2014/06/12,\"I spent 26 talking to Piper, Piper, Rylee on various topics in the late afternoon.\",\"I spent 26 talking to Piper, Piper, Rylee on various topics in the late afternoon.\"\n6757,2014/06/13,I did running on 2014/06/13.,I did running on 2014/06/13.\n6758,2014/06/13,\"I had breakfast with Emily, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Carter. I ate eggs, sausages, and bread.\"\n6759,2014/06/13,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n6760,2014/06/14,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n6761,2014/06/14,\"I talked to Claire, Olivia, Kinsley, Piper for 23 minutes late in the evening.\",\"I talked to Claire, Olivia, Kinsley, Piper for 23 minutes late in the evening.\"\n6762,2014/06/14,\"I spent 38 talking to Piper, Olivia on various topics in the early afternoon.\",\"I spent 38 talking to Piper, Olivia on various topics in the early afternoon.\"\n6763,2014/06/14,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n6764,2014/06/15,I went on a date with Alice on 2014/06/15 at a park,I went on a date with Alice on 2014/06/15 at a park\n6765,2014/06/15,I did running on 2014/06/15.,I did running on 2014/06/15.\n6766,2014/06/15,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n6767,2014/06/15,I had lunch. I ate steak.,I had lunch. I ate steak.\n6768,2014/06/15,I talked to Avery for 26 minutes in the early evening.,I talked to Avery for 26 minutes in the early evening.\n6769,2014/06/15,\"I talked to Eva, Avery, Olivia for 43 minutes during lunch hours.\",\"I talked to Eva, Avery, Olivia for 43 minutes during lunch hours.\"\n6770,2014/06/15,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n6771,2014/06/16,I did HIIT on 2014/06/16.,I did HIIT on 2014/06/16.\n6772,2014/06/16,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n6773,2014/06/16,I had a burger for lunch with Lydia,I had a burger for lunch with Lydia\n6774,2014/06/16,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n6775,2014/06/16,\"I spent 39 talking to Claire, Olivia, Nora on various topics during lunch hours.\",\"I spent 39 talking to Claire, Olivia, Nora on various topics during lunch hours.\"\n6776,2014/06/16,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n6777,2014/06/16,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n6778,2014/06/17,I ate cereals for breakfast.,I ate cereals for breakfast.\n6779,2014/06/17,I ate pasta for lunch.,I ate pasta for lunch.\n6780,2014/06/17,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n6781,2014/06/18,I did swimming on 2014/06/18.,I did swimming on 2014/06/18.\n6782,2014/06/18,\"I had eggs, sausages, and bread for breakfast with Emily\",\"I had eggs, sausages, and bread for breakfast with Emily\"\n6783,2014/06/18,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n6784,2014/06/18,\"I talked to Lydia, Olivia, Avery for 5 minutes in the early afternoon.\",\"I talked to Lydia, Olivia, Avery for 5 minutes in the early afternoon.\"\n6785,2014/06/18,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n6786,2014/06/19,I did biking on 2014/06/19.,I did biking on 2014/06/19.\n6787,2014/06/19,\"I had eggs, sausages, and bread for breakfast with Andrew, Emily, Carter, Kayden\",\"I had eggs, sausages, and bread for breakfast with Andrew, Emily, Carter, Kayden\"\n6788,2014/06/19,\"I had indian food for lunch with Willow, Jackson\",\"I had indian food for lunch with Willow, Jackson\"\n6789,2014/06/19,I prepare a burger for dinner.,I prepare a burger for dinner.\n6790,2014/06/19,\"I spent 54 talking to Piper, Rylee on various topics late in the evening.\",\"I spent 54 talking to Piper, Rylee on various topics late in the evening.\"\n6791,2014/06/19,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n6792,2014/06/19,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n6793,2014/06/20,I went on a date with Piper on 2014/06/20 at a boba shop,I went on a date with Piper on 2014/06/20 at a boba shop\n6794,2014/06/20,I did swimming on 2014/06/20.,I did swimming on 2014/06/20.\n6795,2014/06/20,I talked to Claire for 12 minutes during lunch hours.,I talked to Claire for 12 minutes during lunch hours.\n6796,2014/06/20,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n6797,2014/06/21,I did HIIT on 2014/06/21.,I did HIIT on 2014/06/21.\n6798,2014/06/21,\"I had lunch with Avery, Jackson. I ate chinese food.\",\"I had lunch with Avery, Jackson. I ate chinese food.\"\n6799,2014/06/21,\"I had dinner with Piper, Piper, Nevaeh, Hazel, Eva, Nora, Olivia, Rylee. I ate chinese food.\",\"I had dinner with Piper, Piper, Nevaeh, Hazel, Eva, Nora, Olivia, Rylee. I ate chinese food.\"\n6800,2014/06/21,I spent 35 talking to Hazel on various topics in the late afternoon.,I spent 35 talking to Hazel on various topics in the late afternoon.\n6801,2014/06/22,\"On 2014/06/22, I took Wang-Chiew on a date to a park\",\"On 2014/06/22, I took Wang-Chiew on a date to a park\"\n6802,2014/06/22,\"I bought some bananas, pineapple juice, chocolate milk, sports drinks, mango juice, shaving cream, mouthwash, shampoo, paper towel from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\",\"I bought some bananas, pineapple juice, chocolate milk, sports drinks, mango juice, shaving cream, mouthwash, shampoo, paper towel from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\"\n6803,2014/06/22,I had breakfast with Kayden. I ate cereals.,I had breakfast with Kayden. I ate cereals.\n6804,2014/06/22,\"I had steak for lunch with Rylee, Kinsley, Eva, Nevaeh, Nora, Claire, Olivia, Hazel, Avery, Piper\",\"I had steak for lunch with Rylee, Kinsley, Eva, Nevaeh, Nora, Claire, Olivia, Hazel, Avery, Piper\"\n6805,2014/06/22,\"I had dinner with Jackson, Avery. I ate a burger.\",\"I had dinner with Jackson, Avery. I ate a burger.\"\n6806,2014/06/22,\"I spent 23 talking to Piper, Olivia on various topics during lunch hours.\",\"I spent 23 talking to Piper, Olivia on various topics during lunch hours.\"\n6807,2014/06/22,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n6808,2014/06/23,\"I spent time yoga on 2014/06/23 with Emily, Carter, Kayden.\",\"I spent time yoga on 2014/06/23 with Emily, Carter, Kayden.\"\n6809,2014/06/23,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n6810,2014/06/23,\"I talked to Olivia, Claire, Nevaeh for 16 minutes in the early evening.\",\"I talked to Olivia, Claire, Nevaeh for 16 minutes in the early evening.\"\n6811,2014/06/23,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n6812,2014/06/24,I did swimming on 2014/06/24.,I did swimming on 2014/06/24.\n6813,2014/06/24,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n6814,2014/06/25,I ate pasta for lunch.,I ate pasta for lunch.\n6815,2014/06/26,\"I spent 14 talking to Nora, Nevaeh, Kinsley on various topics in the late afternoon.\",\"I spent 14 talking to Nora, Nevaeh, Kinsley on various topics in the late afternoon.\"\n6816,2014/06/26,I spent 45 talking to Claire on various topics in the early evening.,I spent 45 talking to Claire on various topics in the early evening.\n6817,2014/06/26,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n6818,2014/06/27,I had breakfast with Kayden. I ate peanut-butter-jam.,I had breakfast with Kayden. I ate peanut-butter-jam.\n6819,2014/06/27,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n6820,2014/06/27,I watched news for 28 minutes on TV today.,I watched news for 28 minutes on TV today.\n6821,2014/06/28,\"On 2014/06/28, I took Emilia on a date to a boba shop\",\"On 2014/06/28, I took Emilia on a date to a boba shop\"\n6822,2014/06/28,\"I went grocery shopping. I bought some mandarins, nectarines, sports drinks, soda, and toothpaste, conditioner\",\"I went grocery shopping. I bought some mandarins, nectarines, sports drinks, soda, and toothpaste, conditioner\"\n6823,2014/06/28,\"I had cereals for breakfast with Nevaeh, Kinsley, Nora, Avery, Piper, Rylee, Claire, Piper, Eva, Olivia, Lydia, Layla\",\"I had cereals for breakfast with Nevaeh, Kinsley, Nora, Avery, Piper, Rylee, Claire, Piper, Eva, Olivia, Lydia, Layla\"\n6824,2014/06/28,\"I had dinner with Carter, Kayden, Andrew. I ate indian food.\",\"I had dinner with Carter, Kayden, Andrew. I ate indian food.\"\n6825,2014/06/28,\"I talked to Nevaeh, Nora for 36 minutes in the early afternoon.\",\"I talked to Nevaeh, Nora for 36 minutes in the early afternoon.\"\n6826,2014/06/29,\"I had fish and chips for lunch with Andrew, Kayden, Emily\",\"I had fish and chips for lunch with Andrew, Kayden, Emily\"\n6827,2014/06/29,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n6828,2014/06/30,I did swimming on 2014/06/30.,I did swimming on 2014/06/30.\n6829,2014/06/30,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n6830,2014/06/30,\"I had fish and chips for lunch with Emily, Andrew\",\"I had fish and chips for lunch with Emily, Andrew\"\n6831,2014/06/30,I ate indian food for dinner.,I ate indian food for dinner.\n6832,2014/06/30,I spent 54 talking to Hazel on various topics in the early afternoon.,I spent 54 talking to Hazel on various topics in the early afternoon.\n6833,2014/06/30,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n6834,2014/07/01,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n6835,2014/07/01,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n6836,2014/07/02,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n6837,2014/07/02,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n6838,2014/07/03,I spent some time learning a language on 2014/07/03.,I spent some time learning a language on 2014/07/03.\n6839,2014/07/03,I did swimming on 2014/07/03.,I did swimming on 2014/07/03.\n6840,2014/07/03,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n6841,2014/07/03,\"I spent 28 talking to Layla, Avery, Kinsley on various topics in the early afternoon.\",\"I spent 28 talking to Layla, Avery, Kinsley on various topics in the early afternoon.\"\n6842,2014/07/03,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n6843,2014/07/03,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n6844,2014/07/04,\"I had breakfast with Jackson, Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Avery. I ate eggs, sausages, and bread.\"\n6845,2014/07/04,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n6846,2014/07/04,\"I had dinner with Carter, Emily, Andrew. I ate chinese food.\",\"I had dinner with Carter, Emily, Andrew. I ate chinese food.\"\n6847,2014/07/04,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n6848,2014/07/05,\"I bought some oranges, tea, orange juice, apple juice, body lotion, conditioner, shampoo, facial wash from the grocery store. I saw Kayden, Emily, Carter at the grocery store.\",\"I bought some oranges, tea, orange juice, apple juice, body lotion, conditioner, shampoo, facial wash from the grocery store. I saw Kayden, Emily, Carter at the grocery store.\"\n6849,2014/07/05,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n6850,2014/07/05,I had lunch with Avery. I ate indian food.,I had lunch with Avery. I ate indian food.\n6851,2014/07/05,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n6852,2014/07/06,\"I spent time working out on 2014/07/06 with Nora, Avery, Layla.\",\"I spent time working out on 2014/07/06 with Nora, Avery, Layla.\"\n6853,2014/07/06,\"I had steak for lunch with Emily, Andrew, Kayden\",\"I had steak for lunch with Emily, Andrew, Kayden\"\n6854,2014/07/06,I ate a burger for dinner.,I ate a burger for dinner.\n6855,2014/07/06,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n6856,2014/07/07,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n6857,2014/07/07,\"I had lunch with Carter, Kayden, Andrew, Emily. I ate indian food.\",\"I had lunch with Carter, Kayden, Andrew, Emily. I ate indian food.\"\n6858,2014/07/07,\"I had tacos for dinner with Kayden, Emily, Andrew\",\"I had tacos for dinner with Kayden, Emily, Andrew\"\n6859,2014/07/07,\"I spent 39 talking to Piper, Layla, Claire on various topics in the early evening.\",\"I spent 39 talking to Piper, Layla, Claire on various topics in the early evening.\"\n6860,2014/07/07,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n6861,2014/07/08,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n6862,2014/07/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n6863,2014/07/08,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n6864,2014/07/08,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n6865,2014/07/09,I did swimming on 2014/07/09.,I did swimming on 2014/07/09.\n6866,2014/07/09,\"I had toast and cheese for breakfast with Piper, Eva, Nora, Layla, Claire, Olivia, Piper\",\"I had toast and cheese for breakfast with Piper, Eva, Nora, Layla, Claire, Olivia, Piper\"\n6867,2014/07/09,I talked to Piper for 22 minutes in the late afternoon.,I talked to Piper for 22 minutes in the late afternoon.\n6868,2014/07/09,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n6869,2014/07/09,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n6870,2014/07/10,I did hiking on 2014/07/10.,I did hiking on 2014/07/10.\n6871,2014/07/10,\"I talked to Nora, Nevaeh, Avery, Kinsley for 51 minutes late in the evening.\",\"I talked to Nora, Nevaeh, Avery, Kinsley for 51 minutes late in the evening.\"\n6872,2014/07/10,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n6873,2014/07/11,\"I bought some nectarines, blackberries, mango juice, milk, guava juice, chocolate milk, shaving cream, conditioner from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\",\"I bought some nectarines, blackberries, mango juice, milk, guava juice, chocolate milk, shaving cream, conditioner from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\"\n6874,2014/07/11,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n6875,2014/07/11,\"I had lunch with Kinsley, Layla. I ate chinese food.\",\"I had lunch with Kinsley, Layla. I ate chinese food.\"\n6876,2014/07/11,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n6877,2014/07/11,\"I talked to Rylee, Kinsley, Eva for 39 minutes in the early evening.\",\"I talked to Rylee, Kinsley, Eva for 39 minutes in the early evening.\"\n6878,2014/07/11,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n6879,2014/07/12,I did weight lifting on 2014/07/12.,I did weight lifting on 2014/07/12.\n6880,2014/07/12,\"I had sandwich for dinner with Avery, Benjamin, Jackson, Willow\",\"I had sandwich for dinner with Avery, Benjamin, Jackson, Willow\"\n6881,2014/07/12,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n6882,2014/07/13,I did hiking on 2014/07/13.,I did hiking on 2014/07/13.\n6883,2014/07/13,I had pancakes for breakfast with Andrew,I had pancakes for breakfast with Andrew\n6884,2014/07/14,\"I was baking brownies, peanut butter cookies on 2014/07/14 with Emily, Kayden, Andrew at my place\",\"I was baking brownies, peanut butter cookies on 2014/07/14 with Emily, Kayden, Andrew at my place\"\n6885,2014/07/14,\"I had breakfast with Avery, Jackson, Benjamin, Willow. I ate pancakes.\",\"I had breakfast with Avery, Jackson, Benjamin, Willow. I ate pancakes.\"\n6886,2014/07/14,\"I talked to Nora, Hazel, Claire for 27 minutes in the morning.\",\"I talked to Nora, Hazel, Claire for 27 minutes in the morning.\"\n6887,2014/07/14,I watched a tv series for 16 minutes on TV today.,I watched a tv series for 16 minutes on TV today.\n6888,2014/07/15,I did running on 2014/07/15.,I did running on 2014/07/15.\n6889,2014/07/15,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n6890,2014/07/15,I talked to Claire for 13 minutes during lunch hours.,I talked to Claire for 13 minutes during lunch hours.\n6891,2014/07/15,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n6892,2014/07/16,I did weight lifting on 2014/07/16.,I did weight lifting on 2014/07/16.\n6893,2014/07/16,I had lunch with Carter. I ate steak.,I had lunch with Carter. I ate steak.\n6894,2014/07/16,\"I talked to Nora, Piper, Nevaeh, Lydia for 30 minutes late in the evening.\",\"I talked to Nora, Piper, Nevaeh, Lydia for 30 minutes late in the evening.\"\n6895,2014/07/16,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n6896,2014/07/17,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n6897,2014/07/17,I prepare sushi for lunch.,I prepare sushi for lunch.\n6898,2014/07/18,I did swimming on 2014/07/18.,I did swimming on 2014/07/18.\n6899,2014/07/18,\"I had peanut-butter-jam for breakfast with Rylee, Nora, Piper, Claire, Eva, Nevaeh, Piper, Hazel, Layla, Olivia\",\"I had peanut-butter-jam for breakfast with Rylee, Nora, Piper, Claire, Eva, Nevaeh, Piper, Hazel, Layla, Olivia\"\n6900,2014/07/18,I had a burger for dinner with Andrew,I had a burger for dinner with Andrew\n6901,2014/07/18,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n6902,2014/07/18,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n6903,2014/07/19,I did weight lifting on 2014/07/19.,I did weight lifting on 2014/07/19.\n6904,2014/07/19,\"I spent 16 talking to Kinsley, Lydia on various topics in the morning.\",\"I spent 16 talking to Kinsley, Lydia on various topics in the morning.\"\n6905,2014/07/19,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n6906,2014/07/19,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n6907,2014/07/20,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n6908,2014/07/20,\"I had lunch with Jackson, Benjamin, Willow, Avery. I ate a burger.\",\"I had lunch with Jackson, Benjamin, Willow, Avery. I ate a burger.\"\n6909,2014/07/20,\"I spent 25 talking to Olivia, Hazel, Kinsley on various topics in the early evening.\",\"I spent 25 talking to Olivia, Hazel, Kinsley on various topics in the early evening.\"\n6910,2014/07/20,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n6911,2014/07/21,\"I bought some mandarins, raspberries, pineapple juice, sports drinks, shaving cream, mouth wash, shampoo online.\",\"I bought some mandarins, raspberries, pineapple juice, sports drinks, shaving cream, mouth wash, shampoo online.\"\n6912,2014/07/21,\"I had toast and cheese for breakfast with Benjamin, Jackson\",\"I had toast and cheese for breakfast with Benjamin, Jackson\"\n6913,2014/07/21,I had sandwich for lunch with Andrew,I had sandwich for lunch with Andrew\n6914,2014/07/21,I ate pasta for dinner.,I ate pasta for dinner.\n6915,2014/07/21,I talked to Claire for 16 minutes late in the evening.,I talked to Claire for 16 minutes late in the evening.\n6916,2014/07/21,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n6917,2014/07/22,I did running on 2014/07/22.,I did running on 2014/07/22.\n6918,2014/07/22,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n6919,2014/07/22,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n6920,2014/07/23,I did running on 2014/07/23.,I did running on 2014/07/23.\n6921,2014/07/24,\"I went grocery shopping. I bought some strawberries, apple juice, tea, soda, and toothbrush, toothpaste, mouth wash, mouthwash\",\"I went grocery shopping. I bought some strawberries, apple juice, tea, soda, and toothbrush, toothpaste, mouth wash, mouthwash\"\n6922,2014/07/24,I had cereals for breakfast with Benjamin,I had cereals for breakfast with Benjamin\n6923,2014/07/24,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n6924,2014/07/24,\"I spent 38 talking to Hazel, Lydia, Piper on various topics in the early afternoon.\",\"I spent 38 talking to Hazel, Lydia, Piper on various topics in the early afternoon.\"\n6925,2014/07/25,I did hiking on 2014/07/25.,I did hiking on 2014/07/25.\n6926,2014/07/25,I had oatmeal for breakfast with Eva,I had oatmeal for breakfast with Eva\n6927,2014/07/25,\"I had a burger for lunch with Willow, Benjamin, Jackson\",\"I had a burger for lunch with Willow, Benjamin, Jackson\"\n6928,2014/07/25,\"I spent 31 talking to Hazel, Nevaeh on various topics in the morning.\",\"I spent 31 talking to Hazel, Nevaeh on various topics in the morning.\"\n6929,2014/07/26,\"I went grocery shopping. I bought some guava, pears, blueberries, mango juice, mineral water, coffee, and shampoo\",\"I went grocery shopping. I bought some guava, pears, blueberries, mango juice, mineral water, coffee, and shampoo\"\n6930,2014/07/26,\"I had breakfast with Jackson, Willow. I ate peanut-butter-jam.\",\"I had breakfast with Jackson, Willow. I ate peanut-butter-jam.\"\n6931,2014/07/26,I had steak for dinner with Emily,I had steak for dinner with Emily\n6932,2014/07/26,\"I talked to Layla, Kinsley, Claire, Hazel for 14 minutes in the morning.\",\"I talked to Layla, Kinsley, Claire, Hazel for 14 minutes in the morning.\"\n6933,2014/07/26,I talked to Claire for 6 minutes in the early afternoon.,I talked to Claire for 6 minutes in the early afternoon.\n6934,2014/07/26,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n6935,2014/07/26,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n6936,2014/07/27,I did HIIT on 2014/07/27.,I did HIIT on 2014/07/27.\n6937,2014/07/27,\"I talked to Kinsley, Rylee, Claire for 8 minutes in the early afternoon.\",\"I talked to Kinsley, Rylee, Claire for 8 minutes in the early afternoon.\"\n6938,2014/07/27,\"I spent 47 talking to Kinsley, Eva, Hazel, Claire on various topics in the early evening.\",\"I spent 47 talking to Kinsley, Eva, Hazel, Claire on various topics in the early evening.\"\n6939,2014/07/27,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n6940,2014/07/27,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n6941,2014/07/28,I did biking on 2014/07/28.,I did biking on 2014/07/28.\n6942,2014/07/28,\"I talked to Rylee, Claire, Nevaeh, Layla for 17 minutes in the early evening.\",\"I talked to Rylee, Claire, Nevaeh, Layla for 17 minutes in the early evening.\"\n6943,2014/07/28,I spent 29 minutes watching news on TV today.,I spent 29 minutes watching news on TV today.\n6944,2014/07/29,I did hiking on 2014/07/29.,I did hiking on 2014/07/29.\n6945,2014/07/29,\"I had lunch with Layla, Avery. I ate fish and chips.\",\"I had lunch with Layla, Avery. I ate fish and chips.\"\n6946,2014/07/29,\"I spent 55 talking to Kinsley, Nevaeh, Hazel on various topics in the morning.\",\"I spent 55 talking to Kinsley, Nevaeh, Hazel on various topics in the morning.\"\n6947,2014/07/30,I did hiking on 2014/07/30.,I did hiking on 2014/07/30.\n6948,2014/07/30,\"I had pancakes for breakfast with Carter, Emily\",\"I had pancakes for breakfast with Carter, Emily\"\n6949,2014/07/30,\"I talked to Piper, Hazel, Rylee for 53 minutes during lunch hours.\",\"I talked to Piper, Hazel, Rylee for 53 minutes during lunch hours.\"\n6950,2014/07/30,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n6951,2014/07/31,\"On 2014/07/31, I took Isla on a date to a park\",\"On 2014/07/31, I took Isla on a date to a park\"\n6952,2014/07/31,\"I had lunch with Willow, Avery, Benjamin. I ate tacos.\",\"I had lunch with Willow, Avery, Benjamin. I ate tacos.\"\n6953,2014/07/31,\"I talked to Kinsley, Hazel for 51 minutes in the late afternoon.\",\"I talked to Kinsley, Hazel for 51 minutes in the late afternoon.\"\n6954,2014/08/01,I did hiking on 2014/08/01.,I did hiking on 2014/08/01.\n6955,2014/08/01,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n6956,2014/08/01,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n6957,2014/08/02,\"I spent 9 talking to Olivia, Kinsley on various topics in the early evening.\",\"I spent 9 talking to Olivia, Kinsley on various topics in the early evening.\"\n6958,2014/08/02,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n6959,2014/08/03,I did weight lifting on 2014/08/03.,I did weight lifting on 2014/08/03.\n6960,2014/08/03,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n6961,2014/08/04,I ate a burger for dinner.,I ate a burger for dinner.\n6962,2014/08/04,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n6963,2014/08/05,I prepare indian food for dinner.,I prepare indian food for dinner.\n6964,2014/08/05,I talked to Nora for 17 minutes in the early afternoon.,I talked to Nora for 17 minutes in the early afternoon.\n6965,2014/08/06,\"On 2014/08/06, I took Grayson on a date to a park\",\"On 2014/08/06, I took Grayson on a date to a park\"\n6966,2014/08/06,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n6967,2014/08/07,I did hiking on 2014/08/07.,I did hiking on 2014/08/07.\n6968,2014/08/07,\"I spent 31 talking to Olivia, Kinsley, Hazel on various topics in the late afternoon.\",\"I spent 31 talking to Olivia, Kinsley, Hazel on various topics in the late afternoon.\"\n6969,2014/08/07,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n6970,2014/08/08,I prepare a burger for lunch.,I prepare a burger for lunch.\n6971,2014/08/08,I prepare indian food for dinner.,I prepare indian food for dinner.\n6972,2014/08/08,\"I spent 35 talking to Hazel, Layla, Nora on various topics in the morning.\",\"I spent 35 talking to Hazel, Layla, Nora on various topics in the morning.\"\n6973,2014/08/08,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n6974,2014/08/08,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n6975,2014/08/09,\"I bought some watermelons, pineapples, bananas, chocolate milk, pineapple juice, guava juice, conditioner from the grocery store. I saw Carter, Kayden at the grocery store.\",\"I bought some watermelons, pineapples, bananas, chocolate milk, pineapple juice, guava juice, conditioner from the grocery store. I saw Carter, Kayden at the grocery store.\"\n6976,2014/08/09,I did running on 2014/08/09.,I did running on 2014/08/09.\n6977,2014/08/09,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n6978,2014/08/09,I spent 47 talking to Piper on various topics late in the evening.,I spent 47 talking to Piper on various topics late in the evening.\n6979,2014/08/09,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n6980,2014/08/09,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n6981,2014/08/10,I did swimming on 2014/08/10.,I did swimming on 2014/08/10.\n6982,2014/08/10,\"I had breakfast with Kinsley, Claire, Avery, Nevaeh, Rylee, Nora, Lydia, Piper, Olivia, Piper, Eva, Hazel. I ate toast and cheese.\",\"I had breakfast with Kinsley, Claire, Avery, Nevaeh, Rylee, Nora, Lydia, Piper, Olivia, Piper, Eva, Hazel. I ate toast and cheese.\"\n6983,2014/08/10,\"I talked to Nevaeh, Eva for 13 minutes in the late afternoon.\",\"I talked to Nevaeh, Eva for 13 minutes in the late afternoon.\"\n6984,2014/08/10,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n6985,2014/08/11,I did hiking on 2014/08/11.,I did hiking on 2014/08/11.\n6986,2014/08/11,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n6987,2014/08/11,I prepare steak for lunch.,I prepare steak for lunch.\n6988,2014/08/11,\"I had dinner with Benjamin, Avery, Jackson, Willow. I ate sushi.\",\"I had dinner with Benjamin, Avery, Jackson, Willow. I ate sushi.\"\n6989,2014/08/11,\"I spent 13 talking to Hazel, Lydia, Nora, Claire on various topics late in the evening.\",\"I spent 13 talking to Hazel, Lydia, Nora, Claire on various topics late in the evening.\"\n6990,2014/08/11,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n6991,2014/08/11,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n6992,2014/08/12,I had lunch with Willow. I ate steak.,I had lunch with Willow. I ate steak.\n6993,2014/08/12,\"I spent 40 talking to Kinsley, Lydia on various topics in the early afternoon.\",\"I spent 40 talking to Kinsley, Lydia on various topics in the early afternoon.\"\n6994,2014/08/12,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n6995,2014/08/13,\"I had toast and cheese for breakfast with Piper, Piper\",\"I had toast and cheese for breakfast with Piper, Piper\"\n6996,2014/08/13,\"I had pasta for dinner with Claire, Eva, Rylee, Lydia, Hazel, Piper, Kinsley, Avery, Layla, Olivia, Piper\",\"I had pasta for dinner with Claire, Eva, Rylee, Lydia, Hazel, Piper, Kinsley, Avery, Layla, Olivia, Piper\"\n6997,2014/08/13,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n6998,2014/08/14,I did running on 2014/08/14.,I did running on 2014/08/14.\n6999,2014/08/14,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n7000,2014/08/14,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n7001,2014/08/14,\"I spent 27 talking to Hazel, Piper, Kinsley on various topics in the early afternoon.\",\"I spent 27 talking to Hazel, Piper, Kinsley on various topics in the early afternoon.\"\n7002,2014/08/14,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n7003,2014/08/15,I had steak for dinner with Avery,I had steak for dinner with Avery\n7004,2014/08/15,I spent 39 talking to Layla on various topics in the early afternoon.,I spent 39 talking to Layla on various topics in the early afternoon.\n7005,2014/08/15,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n7006,2014/08/15,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n7007,2014/08/16,\"I had pancakes for breakfast with Andrew, Kayden, Carter, Emily\",\"I had pancakes for breakfast with Andrew, Kayden, Carter, Emily\"\n7008,2014/08/16,I had lunch with Avery. I ate chinese food.,I had lunch with Avery. I ate chinese food.\n7009,2014/08/16,I prepare steak for dinner.,I prepare steak for dinner.\n7010,2014/08/16,\"I spent 19 talking to Avery, Nora, Piper, Rylee on various topics in the morning.\",\"I spent 19 talking to Avery, Nora, Piper, Rylee on various topics in the morning.\"\n7011,2014/08/16,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n7012,2014/08/17,\"On 2014/08/17, I took Cooper on a date to a boba shop\",\"On 2014/08/17, I took Cooper on a date to a boba shop\"\n7013,2014/08/17,I did weight lifting on 2014/08/17.,I did weight lifting on 2014/08/17.\n7014,2014/08/17,\"I had lunch with Piper, Hazel, Kinsley, Nora, Lydia, Olivia, Eva, Claire, Piper, Nevaeh, Avery, Layla. I ate tacos.\",\"I had lunch with Piper, Hazel, Kinsley, Nora, Lydia, Olivia, Eva, Claire, Piper, Nevaeh, Avery, Layla. I ate tacos.\"\n7015,2014/08/17,\"I had pasta for dinner with Olivia, Lydia, Hazel, Rylee, Claire, Piper, Nora, Kinsley, Avery, Layla, Nevaeh, Piper, Eva\",\"I had pasta for dinner with Olivia, Lydia, Hazel, Rylee, Claire, Piper, Nora, Kinsley, Avery, Layla, Nevaeh, Piper, Eva\"\n7016,2014/08/18,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n7017,2014/08/18,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n7018,2014/08/18,I talked to Nora for 38 minutes in the early evening.,I talked to Nora for 38 minutes in the early evening.\n7019,2014/08/18,\"I talked to Eva, Kinsley, Hazel for 29 minutes during lunch hours.\",\"I talked to Eva, Kinsley, Hazel for 29 minutes during lunch hours.\"\n7020,2014/08/18,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n7021,2014/08/18,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n7022,2014/08/19,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n7023,2014/08/19,\"I spent 49 talking to Piper, Nora, Hazel, Kinsley on various topics in the early afternoon.\",\"I spent 49 talking to Piper, Nora, Hazel, Kinsley on various topics in the early afternoon.\"\n7024,2014/08/19,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n7025,2014/08/20,I spent time working out on 2014/08/20 with Carter.,I spent time working out on 2014/08/20 with Carter.\n7026,2014/08/20,\"I bought some nectarines, peaches, guava, bananas, tea, milk, mango juice, shampoo from the grocery store. I saw Avery at the grocery store.\",\"I bought some nectarines, peaches, guava, bananas, tea, milk, mango juice, shampoo from the grocery store. I saw Avery at the grocery store.\"\n7027,2014/08/20,I ate a burger for lunch.,I ate a burger for lunch.\n7028,2014/08/20,I prepare a burger for dinner.,I prepare a burger for dinner.\n7029,2014/08/20,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n7030,2014/08/21,I did weight lifting on 2014/08/21.,I did weight lifting on 2014/08/21.\n7031,2014/08/21,\"I spent 11 talking to Kinsley, Nora, Lydia on various topics late in the evening.\",\"I spent 11 talking to Kinsley, Nora, Lydia on various topics late in the evening.\"\n7032,2014/08/21,\"I talked to Hazel, Piper, Nevaeh, Avery for 51 minutes in the late afternoon.\",\"I talked to Hazel, Piper, Nevaeh, Avery for 51 minutes in the late afternoon.\"\n7033,2014/08/21,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n7034,2014/08/22,I did running on 2014/08/22.,I did running on 2014/08/22.\n7035,2014/08/22,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n7036,2014/08/22,\"I talked to Nevaeh, Olivia, Piper for 13 minutes during lunch hours.\",\"I talked to Nevaeh, Olivia, Piper for 13 minutes during lunch hours.\"\n7037,2014/08/22,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n7038,2014/08/22,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n7039,2014/08/23,I spent time meditation on 2014/08/23 with Carter.,I spent time meditation on 2014/08/23 with Carter.\n7040,2014/08/23,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n7041,2014/08/23,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n7042,2014/08/23,I talked to Rylee for 52 minutes in the late afternoon.,I talked to Rylee for 52 minutes in the late afternoon.\n7043,2014/08/23,\"I spent 55 talking to Nevaeh, Piper on various topics late in the evening.\",\"I spent 55 talking to Nevaeh, Piper on various topics late in the evening.\"\n7044,2014/08/24,I went on a date with Layla on 2014/08/24 at a restaurant,I went on a date with Layla on 2014/08/24 at a restaurant\n7045,2014/08/24,\"I went grocery shopping with Layla, Eva, Piper, Rylee, Hazel, Avery, Nora, Piper, Olivia, Nevaeh. I bought some apples, watermelons, milk, orange juice, and body lotion\",\"I went grocery shopping with Layla, Eva, Piper, Rylee, Hazel, Avery, Nora, Piper, Olivia, Nevaeh. I bought some apples, watermelons, milk, orange juice, and body lotion\"\n7046,2014/08/24,\"I had breakfast with Nora, Olivia, Piper, Hazel, Kinsley, Rylee. I ate oatmeal.\",\"I had breakfast with Nora, Olivia, Piper, Hazel, Kinsley, Rylee. I ate oatmeal.\"\n7047,2014/08/24,I ate tacos for dinner.,I ate tacos for dinner.\n7048,2014/08/24,\"I spent 24 talking to Avery, Eva, Nora on various topics late in the evening.\",\"I spent 24 talking to Avery, Eva, Nora on various topics late in the evening.\"\n7049,2014/08/25,I did weight lifting on 2014/08/25.,I did weight lifting on 2014/08/25.\n7050,2014/08/25,I ate cereals for breakfast.,I ate cereals for breakfast.\n7051,2014/08/25,\"I talked to Piper, Claire for 16 minutes late in the evening.\",\"I talked to Piper, Claire for 16 minutes late in the evening.\"\n7052,2014/08/25,\"I spent 13 talking to Nevaeh, Piper, Hazel on various topics in the early afternoon.\",\"I spent 13 talking to Nevaeh, Piper, Hazel on various topics in the early afternoon.\"\n7053,2014/08/25,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n7054,2014/08/25,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n7055,2014/08/26,I did biking on 2014/08/26.,I did biking on 2014/08/26.\n7056,2014/08/26,\"I had lunch with Jackson, Willow, Benjamin, Avery. I ate sandwich.\",\"I had lunch with Jackson, Willow, Benjamin, Avery. I ate sandwich.\"\n7057,2014/08/26,I talked to Rylee for 18 minutes in the morning.,I talked to Rylee for 18 minutes in the morning.\n7058,2014/08/26,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n7059,2014/08/26,I watched a tv series for 46 minutes on TV today.,I watched a tv series for 46 minutes on TV today.\n7060,2014/08/27,I did weight lifting on 2014/08/27.,I did weight lifting on 2014/08/27.\n7061,2014/08/27,\"I had dinner with Andrew, Carter. I ate indian food.\",\"I had dinner with Andrew, Carter. I ate indian food.\"\n7062,2014/08/27,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n7063,2014/08/27,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n7064,2014/08/28,I did swimming on 2014/08/28.,I did swimming on 2014/08/28.\n7065,2014/08/28,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n7066,2014/08/28,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n7067,2014/08/29,I did running on 2014/08/29.,I did running on 2014/08/29.\n7068,2014/08/29,\"I had cereals for breakfast with Rylee, Piper, Kinsley, Hazel, Lydia, Layla, Eva, Nevaeh, Olivia\",\"I had cereals for breakfast with Rylee, Piper, Kinsley, Hazel, Lydia, Layla, Eva, Nevaeh, Olivia\"\n7069,2014/08/29,I ate sandwich for lunch.,I ate sandwich for lunch.\n7070,2014/08/29,I spent 29 talking to Claire on various topics in the late afternoon.,I spent 29 talking to Claire on various topics in the late afternoon.\n7071,2014/08/29,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n7072,2014/08/30,\"I spent time meditation on 2014/08/30 with Olivia, Nora, Layla.\",\"I spent time meditation on 2014/08/30 with Olivia, Nora, Layla.\"\n7073,2014/08/30,I did biking on 2014/08/30.,I did biking on 2014/08/30.\n7074,2014/08/30,I prepare a burger for dinner.,I prepare a burger for dinner.\n7075,2014/08/30,I talked to Olivia for 5 minutes in the early evening.,I talked to Olivia for 5 minutes in the early evening.\n7076,2014/08/30,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n7077,2014/08/30,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n7078,2014/08/31,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n7079,2014/08/31,\"I talked to Claire, Eva for 44 minutes during lunch hours.\",\"I talked to Claire, Eva for 44 minutes during lunch hours.\"\n7080,2014/08/31,\"I talked to Piper, Avery for 6 minutes during lunch hours.\",\"I talked to Piper, Avery for 6 minutes during lunch hours.\"\n7081,2014/08/31,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n7082,2014/09/01,I did HIIT on 2014/09/01.,I did HIIT on 2014/09/01.\n7083,2014/09/01,\"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Andrew\",\"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Andrew\"\n7084,2014/09/01,I prepare sushi for dinner.,I prepare sushi for dinner.\n7085,2014/09/01,\"I talked to Lydia, Avery, Piper, Layla for 41 minutes in the early evening.\",\"I talked to Lydia, Avery, Piper, Layla for 41 minutes in the early evening.\"\n7086,2014/09/01,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n7087,2014/09/02,I did weight lifting on 2014/09/02.,I did weight lifting on 2014/09/02.\n7088,2014/09/02,\"I had breakfast with Andrew, Emily. I ate toast and cheese.\",\"I had breakfast with Andrew, Emily. I ate toast and cheese.\"\n7089,2014/09/02,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n7090,2014/09/02,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n7091,2014/09/02,I talked to Piper for 24 minutes in the early evening.,I talked to Piper for 24 minutes in the early evening.\n7092,2014/09/03,I did weight lifting on 2014/09/03.,I did weight lifting on 2014/09/03.\n7093,2014/09/03,\"I had lunch with Kayden, Carter, Andrew. I ate steak.\",\"I had lunch with Kayden, Carter, Andrew. I ate steak.\"\n7094,2014/09/03,I prepare pasta for dinner.,I prepare pasta for dinner.\n7095,2014/09/03,\"I spent 6 talking to Piper, Rylee, Avery, Hazel on various topics in the late afternoon.\",\"I spent 6 talking to Piper, Rylee, Avery, Hazel on various topics in the late afternoon.\"\n7096,2014/09/03,I talked to Layla for 49 minutes in the early evening.,I talked to Layla for 49 minutes in the early evening.\n7097,2014/09/04,\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate toast and cheese.\",\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate toast and cheese.\"\n7098,2014/09/04,I had lunch with Kayden. I ate chinese food.,I had lunch with Kayden. I ate chinese food.\n7099,2014/09/04,I had dinner with Willow. I ate sandwich.,I had dinner with Willow. I ate sandwich.\n7100,2014/09/04,I spent 21 talking to Hazel on various topics in the early afternoon.,I spent 21 talking to Hazel on various topics in the early afternoon.\n7101,2014/09/04,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n7102,2014/09/04,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n7103,2014/09/05,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n7104,2014/09/06,I ate a burger for lunch.,I ate a burger for lunch.\n7105,2014/09/06,I talked to Avery for 53 minutes in the morning.,I talked to Avery for 53 minutes in the morning.\n7106,2014/09/06,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n7107,2014/09/07,I really enjoyed meditation on 2014/09/07,I really enjoyed meditation on 2014/09/07\n7108,2014/09/08,\"On 2014/09/08, I took Emilia on a date to a restaurant\",\"On 2014/09/08, I took Emilia on a date to a restaurant\"\n7109,2014/09/08,I spent 7 talking to Piper on various topics in the morning.,I spent 7 talking to Piper on various topics in the morning.\n7110,2014/09/08,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n7111,2014/09/08,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n7112,2014/09/09,I did biking on 2014/09/09.,I did biking on 2014/09/09.\n7113,2014/09/09,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n7114,2014/09/09,I talked to Hazel for 12 minutes during lunch hours.,I talked to Hazel for 12 minutes during lunch hours.\n7115,2014/09/09,I talked to Hazel for 41 minutes late in the evening.,I talked to Hazel for 41 minutes late in the evening.\n7116,2014/09/09,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n7117,2014/09/10,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n7118,2014/09/10,\"I had lunch with Andrew, Kayden, Emily, Carter. I ate chinese food.\",\"I had lunch with Andrew, Kayden, Emily, Carter. I ate chinese food.\"\n7119,2014/09/10,\"I talked to Hazel, Piper for 11 minutes in the early afternoon.\",\"I talked to Hazel, Piper for 11 minutes in the early afternoon.\"\n7120,2014/09/10,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n7121,2014/09/11,I did running on 2014/09/11.,I did running on 2014/09/11.\n7122,2014/09/11,\"I had sushi for lunch with Jackson, Avery, Willow, Benjamin\",\"I had sushi for lunch with Jackson, Avery, Willow, Benjamin\"\n7123,2014/09/11,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n7124,2014/09/11,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n7125,2014/09/12,\"I had breakfast with Carter, Kayden, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Kayden, Andrew. I ate peanut-butter-jam.\"\n7126,2014/09/12,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n7127,2014/09/12,\"I spent 48 talking to Nevaeh, Piper, Claire, Piper on various topics late in the evening.\",\"I spent 48 talking to Nevaeh, Piper, Claire, Piper on various topics late in the evening.\"\n7128,2014/09/12,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n7129,2014/09/13,I talked to Olivia for 25 minutes late in the evening.,I talked to Olivia for 25 minutes late in the evening.\n7130,2014/09/13,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n7131,2014/09/14,\"I had steak for lunch with Nevaeh, Piper, Olivia, Eva, Hazel, Claire, Lydia, Piper, Kinsley, Nora, Avery\",\"I had steak for lunch with Nevaeh, Piper, Olivia, Eva, Hazel, Claire, Lydia, Piper, Kinsley, Nora, Avery\"\n7132,2014/09/14,I talked to Olivia for 20 minutes in the late afternoon.,I talked to Olivia for 20 minutes in the late afternoon.\n7133,2014/09/14,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n7134,2014/09/14,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n7135,2014/09/15,\"On 2014/09/15, I took Lily on a date to a restaurant\",\"On 2014/09/15, I took Lily on a date to a restaurant\"\n7136,2014/09/15,\"I went grocery shopping. I bought some mandarins, chocolate milk, orange juice, mineral water, and facial wash, shampoo, mouthwash\",\"I went grocery shopping. I bought some mandarins, chocolate milk, orange juice, mineral water, and facial wash, shampoo, mouthwash\"\n7137,2014/09/15,I did HIIT on 2014/09/15.,I did HIIT on 2014/09/15.\n7138,2014/09/15,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n7139,2014/09/15,I ate sandwich for lunch.,I ate sandwich for lunch.\n7140,2014/09/15,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n7141,2014/09/15,I spent 26 talking to Claire on various topics in the early evening.,I spent 26 talking to Claire on various topics in the early evening.\n7142,2014/09/15,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n7143,2014/09/16,I did hiking on 2014/09/16.,I did hiking on 2014/09/16.\n7144,2014/09/16,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n7145,2014/09/16,\"I had tacos for lunch with Eva, Piper, Nora, Lydia, Layla, Rylee, Piper, Olivia, Kinsley\",\"I had tacos for lunch with Eva, Piper, Nora, Lydia, Layla, Rylee, Piper, Olivia, Kinsley\"\n7146,2014/09/16,I had dinner. I ate steak.,I had dinner. I ate steak.\n7147,2014/09/16,\"I spent 48 talking to Piper, Rylee, Nora, Claire on various topics late in the evening.\",\"I spent 48 talking to Piper, Rylee, Nora, Claire on various topics late in the evening.\"\n7148,2014/09/17,I did weight lifting on 2014/09/17.,I did weight lifting on 2014/09/17.\n7149,2014/09/17,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n7150,2014/09/17,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n7151,2014/09/17,\"I spent 13 talking to Eva, Nora, Olivia, Nevaeh on various topics in the late afternoon.\",\"I spent 13 talking to Eva, Nora, Olivia, Nevaeh on various topics in the late afternoon.\"\n7152,2014/09/17,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n7153,2014/09/17,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n7154,2014/09/18,\"I went grocery shopping with Benjamin, Jackson, Avery, Willow. I bought some cherres, orange juice, coffee, mineral water, and facial wash, conditioner, toothbrush, toilet paper\",\"I went grocery shopping with Benjamin, Jackson, Avery, Willow. I bought some cherres, orange juice, coffee, mineral water, and facial wash, conditioner, toothbrush, toilet paper\"\n7155,2014/09/18,\"I had lunch with Kayden, Andrew, Carter. I ate pasta.\",\"I had lunch with Kayden, Andrew, Carter. I ate pasta.\"\n7156,2014/09/18,\"I spent 32 talking to Piper, Rylee, Layla, Nevaeh on various topics in the late afternoon.\",\"I spent 32 talking to Piper, Rylee, Layla, Nevaeh on various topics in the late afternoon.\"\n7157,2014/09/19,I did biking on 2014/09/19.,I did biking on 2014/09/19.\n7158,2014/09/19,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n7159,2014/09/19,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n7160,2014/09/19,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n7161,2014/09/19,\"I talked to Lydia, Olivia for 12 minutes in the early afternoon.\",\"I talked to Lydia, Olivia for 12 minutes in the early afternoon.\"\n7162,2014/09/19,\"I spent 8 talking to Hazel, Nora, Eva, Nevaeh on various topics in the late afternoon.\",\"I spent 8 talking to Hazel, Nora, Eva, Nevaeh on various topics in the late afternoon.\"\n7163,2014/09/20,I did HIIT on 2014/09/20.,I did HIIT on 2014/09/20.\n7164,2014/09/20,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n7165,2014/09/20,I prepare indian food for lunch.,I prepare indian food for lunch.\n7166,2014/09/20,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n7167,2014/09/21,\"I bought some mandarins, blackberries, soda, mango juice, mouth wash, facial wash online.\",\"I bought some mandarins, blackberries, soda, mango juice, mouth wash, facial wash online.\"\n7168,2014/09/21,I had cereals for breakfast with Carter,I had cereals for breakfast with Carter\n7169,2014/09/21,\"I talked to Piper, Olivia for 55 minutes in the early afternoon.\",\"I talked to Piper, Olivia for 55 minutes in the early afternoon.\"\n7170,2014/09/21,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n7171,2014/09/21,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n7172,2014/09/22,\"I entertained Hazel at my place on 2014/09/22 and bake carrot cake, cranberry apple danish, vegan sugar cookies\",\"I entertained Hazel at my place on 2014/09/22 and bake carrot cake, cranberry apple danish, vegan sugar cookies\"\n7173,2014/09/22,I went on a date with Violet on 2014/09/22 at a boba shop,I went on a date with Violet on 2014/09/22 at a boba shop\n7174,2014/09/22,I did running on 2014/09/22.,I did running on 2014/09/22.\n7175,2014/09/22,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n7176,2014/09/22,I prepare pasta for lunch.,I prepare pasta for lunch.\n7177,2014/09/22,\"I talked to Rylee, Claire, Olivia for 40 minutes in the early evening.\",\"I talked to Rylee, Claire, Olivia for 40 minutes in the early evening.\"\n7178,2014/09/22,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n7179,2014/09/22,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n7180,2014/09/23,I did HIIT on 2014/09/23.,I did HIIT on 2014/09/23.\n7181,2014/09/23,\"I had pasta for dinner with Rylee, Layla, Nevaeh, Piper, Eva, Avery\",\"I had pasta for dinner with Rylee, Layla, Nevaeh, Piper, Eva, Avery\"\n7182,2014/09/24,\"I had oatmeal for breakfast with Andrew, Kayden, Emily, Carter\",\"I had oatmeal for breakfast with Andrew, Kayden, Emily, Carter\"\n7183,2014/09/24,I prepare tacos for lunch.,I prepare tacos for lunch.\n7184,2014/09/24,\"I spent 10 talking to Nevaeh, Piper, Avery, Rylee on various topics in the late afternoon.\",\"I spent 10 talking to Nevaeh, Piper, Avery, Rylee on various topics in the late afternoon.\"\n7185,2014/09/24,\"I spent 30 talking to Hazel, Avery, Nora on various topics in the morning.\",\"I spent 30 talking to Hazel, Avery, Nora on various topics in the morning.\"\n7186,2014/09/25,I did swimming on 2014/09/25.,I did swimming on 2014/09/25.\n7187,2014/09/25,\"I had cereals for breakfast with Andrew, Emily\",\"I had cereals for breakfast with Andrew, Emily\"\n7188,2014/09/25,\"I had fish and chips for lunch with Olivia, Nevaeh, Piper, Rylee, Kinsley, Piper, Eva\",\"I had fish and chips for lunch with Olivia, Nevaeh, Piper, Rylee, Kinsley, Piper, Eva\"\n7189,2014/09/25,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n7190,2014/09/25,I spent 38 minutes watching a tv series on TV today.,I spent 38 minutes watching a tv series on TV today.\n7191,2014/09/26,I did weight lifting on 2014/09/26.,I did weight lifting on 2014/09/26.\n7192,2014/09/26,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n7193,2014/09/26,\"I talked to Piper, Olivia, Lydia, Claire for 38 minutes in the late afternoon.\",\"I talked to Piper, Olivia, Lydia, Claire for 38 minutes in the late afternoon.\"\n7194,2014/09/26,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n7195,2014/09/27,\"I had breakfast with Emily, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Kayden. I ate eggs, sausages, and bread.\"\n7196,2014/09/27,\"I talked to Layla, Nevaeh for 21 minutes during lunch hours.\",\"I talked to Layla, Nevaeh for 21 minutes during lunch hours.\"\n7197,2014/09/28,\"I had tacos for dinner with Piper, Hazel, Claire, Avery, Nora, Lydia, Eva\",\"I had tacos for dinner with Piper, Hazel, Claire, Avery, Nora, Lydia, Eva\"\n7198,2014/09/28,\"I talked to Layla, Rylee, Avery for 49 minutes in the morning.\",\"I talked to Layla, Rylee, Avery for 49 minutes in the morning.\"\n7199,2014/09/28,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n7200,2014/09/29,I prepare sushi for lunch.,I prepare sushi for lunch.\n7201,2014/09/29,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n7202,2014/09/29,\"I spent 24 talking to Kinsley, Avery, Piper on various topics during lunch hours.\",\"I spent 24 talking to Kinsley, Avery, Piper on various topics during lunch hours.\"\n7203,2014/09/29,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n7204,2014/09/29,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n7205,2014/09/30,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n7206,2014/09/30,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n7207,2014/09/30,I watched news for 35 minutes on TV today.,I watched news for 35 minutes on TV today.\n7208,2014/10/01,\"I had cereals for breakfast with Nevaeh, Eva, Piper\",\"I had cereals for breakfast with Nevaeh, Eva, Piper\"\n7209,2014/10/01,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n7210,2014/10/02,\"I had lunch with Nevaeh, Lydia. I ate fish and chips.\",\"I had lunch with Nevaeh, Lydia. I ate fish and chips.\"\n7211,2014/10/02,I ate sushi for dinner.,I ate sushi for dinner.\n7212,2014/10/02,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n7213,2014/10/03,\"I went grocery shopping with Avery, Benjamin, Jackson, Willow. I bought some mangos, pears, watermelons, mango juice, sports drinks, apple juice, mineral water, and mouth wash, conditioner\",\"I went grocery shopping with Avery, Benjamin, Jackson, Willow. I bought some mangos, pears, watermelons, mango juice, sports drinks, apple juice, mineral water, and mouth wash, conditioner\"\n7214,2014/10/03,I did biking on 2014/10/03.,I did biking on 2014/10/03.\n7215,2014/10/03,\"I talked to Lydia, Eva, Avery for 22 minutes during lunch hours.\",\"I talked to Lydia, Eva, Avery for 22 minutes during lunch hours.\"\n7216,2014/10/03,\"I spent 45 talking to Nevaeh, Kinsley, Piper on various topics late in the evening.\",\"I spent 45 talking to Nevaeh, Kinsley, Piper on various topics late in the evening.\"\n7217,2014/10/04,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n7218,2014/10/04,I ate a burger for lunch.,I ate a burger for lunch.\n7219,2014/10/04,\"I spent 32 talking to Rylee, Nora on various topics in the morning.\",\"I spent 32 talking to Rylee, Nora on various topics in the morning.\"\n7220,2014/10/04,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n7221,2014/10/04,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n7222,2014/10/05,\"I talked to Rylee, Avery for 15 minutes in the early evening.\",\"I talked to Rylee, Avery for 15 minutes in the early evening.\"\n7223,2014/10/05,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n7224,2014/10/06,I did hiking on 2014/10/06.,I did hiking on 2014/10/06.\n7225,2014/10/06,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n7226,2014/10/06,\"I spent 6 talking to Avery, Nevaeh on various topics in the early afternoon.\",\"I spent 6 talking to Avery, Nevaeh on various topics in the early afternoon.\"\n7227,2014/10/07,\"On 2014/10/07, I took Mila on a date to a boba shop\",\"On 2014/10/07, I took Mila on a date to a boba shop\"\n7228,2014/10/07,\"I went grocery shopping. I bought some raspberries, blackberries, orange juice, sports drinks, mineral water, soda, and toothpaste, body lotion\",\"I went grocery shopping. I bought some raspberries, blackberries, orange juice, sports drinks, mineral water, soda, and toothpaste, body lotion\"\n7229,2014/10/07,I prepare pasta for dinner.,I prepare pasta for dinner.\n7230,2014/10/07,\"I talked to Nevaeh, Piper, Rylee, Hazel for 35 minutes in the early evening.\",\"I talked to Nevaeh, Piper, Rylee, Hazel for 35 minutes in the early evening.\"\n7231,2014/10/07,\"I spent 23 talking to Eva, Layla, Piper on various topics in the morning.\",\"I spent 23 talking to Eva, Layla, Piper on various topics in the morning.\"\n7232,2014/10/07,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n7233,2014/10/08,I spent time learning a language on 2014/10/08 with Claire.,I spent time learning a language on 2014/10/08 with Claire.\n7234,2014/10/08,\"I had eggs, sausages, and bread for breakfast with Piper\",\"I had eggs, sausages, and bread for breakfast with Piper\"\n7235,2014/10/08,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n7236,2014/10/08,\"I spent 16 talking to Hazel, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 16 talking to Hazel, Piper, Nevaeh on various topics in the late afternoon.\"\n7237,2014/10/08,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n7238,2014/10/08,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n7239,2014/10/09,\"I went grocery shopping with Emily, Kayden, Carter. I bought some mandarins, apple juice, mango juice, chocolate milk, and toothpaste, paper towel, toilet paper, shaving cream\",\"I went grocery shopping with Emily, Kayden, Carter. I bought some mandarins, apple juice, mango juice, chocolate milk, and toothpaste, paper towel, toilet paper, shaving cream\"\n7240,2014/10/09,\"I had breakfast with Kayden, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Carter. I ate eggs, sausages, and bread.\"\n7241,2014/10/09,I had a burger for dinner with Andrew,I had a burger for dinner with Andrew\n7242,2014/10/10,I did hiking on 2014/10/10.,I did hiking on 2014/10/10.\n7243,2014/10/10,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n7244,2014/10/10,\"I talked to Lydia, Piper, Hazel, Avery for 7 minutes in the morning.\",\"I talked to Lydia, Piper, Hazel, Avery for 7 minutes in the morning.\"\n7245,2014/10/10,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n7246,2014/10/11,I had dinner with Benjamin. I ate chinese food.,I had dinner with Benjamin. I ate chinese food.\n7247,2014/10/12,\"I bought some cherres, watermelons, pineapple juice, shampoo, toothbrush, toothpaste online.\",\"I bought some cherres, watermelons, pineapple juice, shampoo, toothbrush, toothpaste online.\"\n7248,2014/10/12,I did hiking on 2014/10/12.,I did hiking on 2014/10/12.\n7249,2014/10/12,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n7250,2014/10/12,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n7251,2014/10/13,\"I had fish and chips for lunch with Emily, Carter, Kayden, Andrew\",\"I had fish and chips for lunch with Emily, Carter, Kayden, Andrew\"\n7252,2014/10/13,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n7253,2014/10/13,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n7254,2014/10/14,\"I talked to Claire, Avery for 10 minutes late in the evening.\",\"I talked to Claire, Avery for 10 minutes late in the evening.\"\n7255,2014/10/14,I talked to Layla for 50 minutes in the morning.,I talked to Layla for 50 minutes in the morning.\n7256,2014/10/14,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n7257,2014/10/15,I spent some time yoga on 2014/10/15.,I spent some time yoga on 2014/10/15.\n7258,2014/10/15,I did swimming on 2014/10/15.,I did swimming on 2014/10/15.\n7259,2014/10/15,I ate cereals for breakfast.,I ate cereals for breakfast.\n7260,2014/10/15,I ate sandwich for lunch.,I ate sandwich for lunch.\n7261,2014/10/15,\"I spent 52 talking to Claire, Hazel, Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 52 talking to Claire, Hazel, Nevaeh, Piper on various topics in the early afternoon.\"\n7262,2014/10/15,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n7263,2014/10/16,I did running on 2014/10/16.,I did running on 2014/10/16.\n7264,2014/10/16,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n7265,2014/10/16,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n7266,2014/10/16,I spent 48 talking to Olivia on various topics in the morning.,I spent 48 talking to Olivia on various topics in the morning.\n7267,2014/10/17,I did biking on 2014/10/17.,I did biking on 2014/10/17.\n7268,2014/10/17,\"I had breakfast with Nevaeh, Piper, Eva, Olivia, Claire, Lydia, Hazel, Piper. I ate toast and cheese.\",\"I had breakfast with Nevaeh, Piper, Eva, Olivia, Claire, Lydia, Hazel, Piper. I ate toast and cheese.\"\n7269,2014/10/17,\"I had steak for lunch with Jackson, Avery, Benjamin, Willow\",\"I had steak for lunch with Jackson, Avery, Benjamin, Willow\"\n7270,2014/10/17,I spent 34 talking to Piper on various topics in the morning.,I spent 34 talking to Piper on various topics in the morning.\n7271,2014/10/17,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n7272,2014/10/18,I did weight lifting on 2014/10/18.,I did weight lifting on 2014/10/18.\n7273,2014/10/18,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n7274,2014/10/18,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n7275,2014/10/18,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n7276,2014/10/19,I did HIIT on 2014/10/19.,I did HIIT on 2014/10/19.\n7277,2014/10/19,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n7278,2014/10/19,I had sushi for lunch with Carter,I had sushi for lunch with Carter\n7279,2014/10/19,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n7280,2014/10/19,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n7281,2014/10/20,I ate indian food for dinner.,I ate indian food for dinner.\n7282,2014/10/20,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n7283,2014/10/21,\"I went grocery shopping. I bought some strawberries, blueberries, pineapples, mandarins, mango juice, pineapple juice, and toilet paper, mouth wash, paper towel\",\"I went grocery shopping. I bought some strawberries, blueberries, pineapples, mandarins, mango juice, pineapple juice, and toilet paper, mouth wash, paper towel\"\n7284,2014/10/21,I did hiking on 2014/10/21.,I did hiking on 2014/10/21.\n7285,2014/10/21,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n7286,2014/10/21,I had dinner. I ate steak.,I had dinner. I ate steak.\n7287,2014/10/22,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n7288,2014/10/22,\"I had lunch with Avery, Piper, Claire, Piper, Layla, Olivia. I ate indian food.\",\"I had lunch with Avery, Piper, Claire, Piper, Layla, Olivia. I ate indian food.\"\n7289,2014/10/22,I ate tacos for dinner.,I ate tacos for dinner.\n7290,2014/10/22,\"I spent 30 talking to Kinsley, Piper on various topics in the early evening.\",\"I spent 30 talking to Kinsley, Piper on various topics in the early evening.\"\n7291,2014/10/22,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n7292,2014/10/22,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n7293,2014/10/23,\"I spent 48 talking to Layla, Rylee, Eva on various topics in the early afternoon.\",\"I spent 48 talking to Layla, Rylee, Eva on various topics in the early afternoon.\"\n7294,2014/10/23,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n7295,2014/10/23,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n7296,2014/10/24,\"I went grocery shopping. I bought some clementines, mandarins, mineral water, milk, sports drinks, soda, and mouth wash, shaving cream, toothbrush\",\"I went grocery shopping. I bought some clementines, mandarins, mineral water, milk, sports drinks, soda, and mouth wash, shaving cream, toothbrush\"\n7297,2014/10/24,\"I had lunch with Emily, Carter, Kayden, Andrew. I ate sandwich.\",\"I had lunch with Emily, Carter, Kayden, Andrew. I ate sandwich.\"\n7298,2014/10/24,\"I spent 23 talking to Eva, Rylee on various topics late in the evening.\",\"I spent 23 talking to Eva, Rylee on various topics late in the evening.\"\n7299,2014/10/24,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n7300,2014/10/25,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n7301,2014/10/25,I ate steak for lunch.,I ate steak for lunch.\n7302,2014/10/25,\"I had dinner with Andrew, Emily. I ate pasta.\",\"I had dinner with Andrew, Emily. I ate pasta.\"\n7303,2014/10/25,\"I spent 44 talking to Piper, Eva, Avery on various topics during lunch hours.\",\"I spent 44 talking to Piper, Eva, Avery on various topics during lunch hours.\"\n7304,2014/10/25,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n7305,2014/10/26,I did biking on 2014/10/26.,I did biking on 2014/10/26.\n7306,2014/10/26,\"I talked to Avery, Claire, Hazel for 14 minutes in the early afternoon.\",\"I talked to Avery, Claire, Hazel for 14 minutes in the early afternoon.\"\n7307,2014/10/26,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n7308,2014/10/27,I had lunch. I ate steak.,I had lunch. I ate steak.\n7309,2014/10/27,\"I had dinner with Avery, Willow, Benjamin, Jackson. I ate sushi.\",\"I had dinner with Avery, Willow, Benjamin, Jackson. I ate sushi.\"\n7310,2014/10/27,\"I talked to Kinsley, Lydia, Hazel for 40 minutes in the late afternoon.\",\"I talked to Kinsley, Lydia, Hazel for 40 minutes in the late afternoon.\"\n7311,2014/10/27,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n7312,2014/10/27,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n7313,2014/10/28,I did running on 2014/10/28.,I did running on 2014/10/28.\n7314,2014/10/28,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n7315,2014/10/28,\"I had dinner with Layla, Eva, Lydia, Piper, Avery, Nevaeh, Nora, Claire, Olivia, Hazel, Kinsley, Piper, Rylee. I ate sandwich.\",\"I had dinner with Layla, Eva, Lydia, Piper, Avery, Nevaeh, Nora, Claire, Olivia, Hazel, Kinsley, Piper, Rylee. I ate sandwich.\"\n7316,2014/10/28,I talked to Nevaeh for 46 minutes during lunch hours.,I talked to Nevaeh for 46 minutes during lunch hours.\n7317,2014/10/28,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n7318,2014/10/29,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n7319,2014/10/29,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n7320,2014/10/30,I spent time meditation on 2014/10/30 with Claire.,I spent time meditation on 2014/10/30 with Claire.\n7321,2014/10/30,I had pancakes for breakfast with Emily,I had pancakes for breakfast with Emily\n7322,2014/10/30,\"I had sandwich for dinner with Kinsley, Avery, Layla, Lydia, Nevaeh, Claire\",\"I had sandwich for dinner with Kinsley, Avery, Layla, Lydia, Nevaeh, Claire\"\n7323,2014/10/30,\"I spent 30 talking to Rylee, Hazel, Piper on various topics during lunch hours.\",\"I spent 30 talking to Rylee, Hazel, Piper on various topics during lunch hours.\"\n7324,2014/10/30,I talked to Eva for 25 minutes during lunch hours.,I talked to Eva for 25 minutes during lunch hours.\n7325,2014/10/31,\"On 2014/10/31, I took Willow on a date to a park\",\"On 2014/10/31, I took Willow on a date to a park\"\n7326,2014/10/31,I did weight lifting on 2014/10/31.,I did weight lifting on 2014/10/31.\n7327,2014/10/31,\"I had lunch with Rylee, Lydia, Olivia, Claire, Eva, Nevaeh, Layla. I ate fish and chips.\",\"I had lunch with Rylee, Lydia, Olivia, Claire, Eva, Nevaeh, Layla. I ate fish and chips.\"\n7328,2014/10/31,\"I spent 37 talking to Olivia, Avery, Rylee, Eva on various topics during lunch hours.\",\"I spent 37 talking to Olivia, Avery, Rylee, Eva on various topics during lunch hours.\"\n7329,2014/10/31,I talked to Hazel for 10 minutes in the late afternoon.,I talked to Hazel for 10 minutes in the late afternoon.\n7330,2014/10/31,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n7331,2014/10/31,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n7332,2014/11/01,\"I went grocery shopping. I bought some apples, mandarins, soda, chocolate milk, coffee, and conditioner\",\"I went grocery shopping. I bought some apples, mandarins, soda, chocolate milk, coffee, and conditioner\"\n7333,2014/11/01,I did weight lifting on 2014/11/01.,I did weight lifting on 2014/11/01.\n7334,2014/11/01,I ate steak for dinner.,I ate steak for dinner.\n7335,2014/11/01,\"I talked to Kinsley, Hazel for 39 minutes late in the evening.\",\"I talked to Kinsley, Hazel for 39 minutes late in the evening.\"\n7336,2014/11/01,\"I talked to Olivia, Kinsley, Avery for 18 minutes in the morning.\",\"I talked to Olivia, Kinsley, Avery for 18 minutes in the morning.\"\n7337,2014/11/01,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n7338,2014/11/02,\"I had breakfast with Emily, Kayden, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Kayden, Carter. I ate eggs, sausages, and bread.\"\n7339,2014/11/02,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n7340,2014/11/02,I spent 19 talking to Piper on various topics in the early evening.,I spent 19 talking to Piper on various topics in the early evening.\n7341,2014/11/02,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n7342,2014/11/02,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n7343,2014/11/03,I went on a date with Nova on 2014/11/03 at a restaurant,I went on a date with Nova on 2014/11/03 at a restaurant\n7344,2014/11/03,I spent 30 talking to Lydia on various topics late in the evening.,I spent 30 talking to Lydia on various topics late in the evening.\n7345,2014/11/03,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n7346,2014/11/04,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n7347,2014/11/04,I talked to Rylee for 47 minutes in the early evening.,I talked to Rylee for 47 minutes in the early evening.\n7348,2014/11/04,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n7349,2014/11/04,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n7350,2014/11/05,\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter\",\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter\"\n7351,2014/11/05,\"I talked to Hazel, Piper, Eva for 34 minutes in the morning.\",\"I talked to Hazel, Piper, Eva for 34 minutes in the morning.\"\n7352,2014/11/05,\"I talked to Piper, Kinsley for 6 minutes in the late afternoon.\",\"I talked to Piper, Kinsley for 6 minutes in the late afternoon.\"\n7353,2014/11/05,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n7354,2014/11/06,I did weight lifting on 2014/11/06.,I did weight lifting on 2014/11/06.\n7355,2014/11/06,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n7356,2014/11/06,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n7357,2014/11/07,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n7358,2014/11/07,I had tacos for lunch with Avery,I had tacos for lunch with Avery\n7359,2014/11/07,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n7360,2014/11/08,I ate pasta for lunch.,I ate pasta for lunch.\n7361,2014/11/08,I had dinner with Carter. I ate fish and chips.,I had dinner with Carter. I ate fish and chips.\n7362,2014/11/08,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n7363,2014/11/08,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n7364,2014/11/09,\"I had breakfast with Kayden, Emily, Carter. I ate oatmeal.\",\"I had breakfast with Kayden, Emily, Carter. I ate oatmeal.\"\n7365,2014/11/09,I prepare indian food for lunch.,I prepare indian food for lunch.\n7366,2014/11/09,\"I had dinner with Hazel, Piper, Piper, Rylee. I ate chinese food.\",\"I had dinner with Hazel, Piper, Piper, Rylee. I ate chinese food.\"\n7367,2014/11/09,\"I spent 50 talking to Piper, Nevaeh on various topics in the early afternoon.\",\"I spent 50 talking to Piper, Nevaeh on various topics in the early afternoon.\"\n7368,2014/11/10,I did hiking on 2014/11/10.,I did hiking on 2014/11/10.\n7369,2014/11/10,I ate chinese food for lunch.,I ate chinese food for lunch.\n7370,2014/11/10,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n7371,2014/11/11,\"I spent time learning a language on 2014/11/11 with Benjamin, Avery.\",\"I spent time learning a language on 2014/11/11 with Benjamin, Avery.\"\n7372,2014/11/11,I did running on 2014/11/11.,I did running on 2014/11/11.\n7373,2014/11/11,I prepare a burger for lunch.,I prepare a burger for lunch.\n7374,2014/11/11,\"I had a burger for dinner with Nora, Hazel, Kinsley, Piper, Olivia, Layla, Lydia, Eva, Nevaeh, Claire\",\"I had a burger for dinner with Nora, Hazel, Kinsley, Piper, Olivia, Layla, Lydia, Eva, Nevaeh, Claire\"\n7375,2014/11/11,\"I talked to Olivia, Claire, Avery for 23 minutes late in the evening.\",\"I talked to Olivia, Claire, Avery for 23 minutes late in the evening.\"\n7376,2014/11/11,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n7377,2014/11/12,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n7378,2014/11/12,\"I had dinner with Carter, Andrew, Emily. I ate chinese food.\",\"I had dinner with Carter, Andrew, Emily. I ate chinese food.\"\n7379,2014/11/12,\"I talked to Lydia, Eva, Kinsley, Rylee for 20 minutes in the early afternoon.\",\"I talked to Lydia, Eva, Kinsley, Rylee for 20 minutes in the early afternoon.\"\n7380,2014/11/12,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n7381,2014/11/13,I did biking on 2014/11/13.,I did biking on 2014/11/13.\n7382,2014/11/13,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n7383,2014/11/13,I prepare tacos for dinner.,I prepare tacos for dinner.\n7384,2014/11/13,\"I talked to Kinsley, Nora, Rylee for 23 minutes in the late afternoon.\",\"I talked to Kinsley, Nora, Rylee for 23 minutes in the late afternoon.\"\n7385,2014/11/13,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n7386,2014/11/14,\"On 2014/11/14, I took Joshua on a date to a coffee Shop\",\"On 2014/11/14, I took Joshua on a date to a coffee Shop\"\n7387,2014/11/14,I did hiking on 2014/11/14.,I did hiking on 2014/11/14.\n7388,2014/11/14,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n7389,2014/11/14,I prepare sushi for dinner.,I prepare sushi for dinner.\n7390,2014/11/14,I talked to Nora for 34 minutes late in the evening.,I talked to Nora for 34 minutes late in the evening.\n7391,2014/11/14,I spent 46 minutes watching a movie on TV today.,I spent 46 minutes watching a movie on TV today.\n7392,2014/11/15,I did HIIT on 2014/11/15.,I did HIIT on 2014/11/15.\n7393,2014/11/15,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n7394,2014/11/15,\"I spent 6 talking to Hazel, Layla on various topics in the morning.\",\"I spent 6 talking to Hazel, Layla on various topics in the morning.\"\n7395,2014/11/15,I talked to Nevaeh for 31 minutes in the early afternoon.,I talked to Nevaeh for 31 minutes in the early afternoon.\n7396,2014/11/15,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n7397,2014/11/16,\"On 2014/11/16, I took James on a date to a boba shop\",\"On 2014/11/16, I took James on a date to a boba shop\"\n7398,2014/11/16,I ate steak for dinner.,I ate steak for dinner.\n7399,2014/11/16,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n7400,2014/11/17,\"I bought some oranges, raspberries, pineapple juice, shampoo, conditioner online.\",\"I bought some oranges, raspberries, pineapple juice, shampoo, conditioner online.\"\n7401,2014/11/17,I did weight lifting on 2014/11/17.,I did weight lifting on 2014/11/17.\n7402,2014/11/17,\"I had pasta for dinner with Carter, Kayden\",\"I had pasta for dinner with Carter, Kayden\"\n7403,2014/11/17,\"I talked to Piper, Piper, Avery, Lydia for 34 minutes in the early evening.\",\"I talked to Piper, Piper, Avery, Lydia for 34 minutes in the early evening.\"\n7404,2014/11/17,I talked to Kinsley for 29 minutes in the late afternoon.,I talked to Kinsley for 29 minutes in the late afternoon.\n7405,2014/11/17,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n7406,2014/11/18,I did running on 2014/11/18.,I did running on 2014/11/18.\n7407,2014/11/18,\"I had breakfast with Kinsley, Claire, Piper, Avery, Hazel, Nora, Olivia, Lydia, Layla, Rylee, Eva, Nevaeh. I ate peanut-butter-jam.\",\"I had breakfast with Kinsley, Claire, Piper, Avery, Hazel, Nora, Olivia, Lydia, Layla, Rylee, Eva, Nevaeh. I ate peanut-butter-jam.\"\n7408,2014/11/18,I ate sandwich for lunch.,I ate sandwich for lunch.\n7409,2014/11/18,I ate chinese food for dinner.,I ate chinese food for dinner.\n7410,2014/11/18,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n7411,2014/11/19,I did running on 2014/11/19.,I did running on 2014/11/19.\n7412,2014/11/19,I ate cereals for breakfast.,I ate cereals for breakfast.\n7413,2014/11/20,I did HIIT on 2014/11/20.,I did HIIT on 2014/11/20.\n7414,2014/11/20,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n7415,2014/11/20,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n7416,2014/11/21,I had lunch. I ate steak.,I had lunch. I ate steak.\n7417,2014/11/21,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n7418,2014/11/21,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n7419,2014/11/22,I did running on 2014/11/22.,I did running on 2014/11/22.\n7420,2014/11/22,I ate tacos for dinner.,I ate tacos for dinner.\n7421,2014/11/22,\"I spent 42 talking to Piper, Lydia, Nevaeh on various topics during lunch hours.\",\"I spent 42 talking to Piper, Lydia, Nevaeh on various topics during lunch hours.\"\n7422,2014/11/23,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n7423,2014/11/23,\"I spent 38 talking to Piper, Kinsley, Piper on various topics in the morning.\",\"I spent 38 talking to Piper, Kinsley, Piper on various topics in the morning.\"\n7424,2014/11/23,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n7425,2014/11/24,I took my parents for their for an annual physical checkup on 2014/11/24 at the university hospital.,I took my parents for their for an annual physical checkup on 2014/11/24 at the university hospital.\n7426,2014/11/24,I did biking on 2014/11/24.,I did biking on 2014/11/24.\n7427,2014/11/24,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n7428,2014/11/24,\"I spent 22 talking to Piper, Olivia, Piper on various topics late in the evening.\",\"I spent 22 talking to Piper, Olivia, Piper on various topics late in the evening.\"\n7429,2014/11/24,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n7430,2014/11/25,\"On 2014/11/25, I took Everett on a date to a boba shop\",\"On 2014/11/25, I took Everett on a date to a boba shop\"\n7431,2014/11/25,\"I bought some mangos, chocolate milk, mineral water, mango juice, toothbrush, conditioner from the grocery store. I saw Jackson, Benjamin at the grocery store.\",\"I bought some mangos, chocolate milk, mineral water, mango juice, toothbrush, conditioner from the grocery store. I saw Jackson, Benjamin at the grocery store.\"\n7432,2014/11/25,I prepare steak for dinner.,I prepare steak for dinner.\n7433,2014/11/25,\"I talked to Nevaeh, Olivia, Claire for 44 minutes in the morning.\",\"I talked to Nevaeh, Olivia, Claire for 44 minutes in the morning.\"\n7434,2014/11/25,\"I spent 22 talking to Olivia, Piper, Avery on various topics in the morning.\",\"I spent 22 talking to Olivia, Piper, Avery on various topics in the morning.\"\n7435,2014/11/25,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n7436,2014/11/25,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n7437,2014/11/26,I did biking on 2014/11/26.,I did biking on 2014/11/26.\n7438,2014/11/26,I had pasta for lunch with Emily,I had pasta for lunch with Emily\n7439,2014/11/26,\"I had dinner with Olivia, Layla. I ate steak.\",\"I had dinner with Olivia, Layla. I ate steak.\"\n7440,2014/11/26,\"I spent 41 talking to Hazel, Nevaeh, Avery on various topics in the early evening.\",\"I spent 41 talking to Hazel, Nevaeh, Avery on various topics in the early evening.\"\n7441,2014/11/26,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n7442,2014/11/27,I did HIIT on 2014/11/27.,I did HIIT on 2014/11/27.\n7443,2014/11/27,\"I had pancakes for breakfast with Hazel, Kinsley, Piper, Nora, Nevaeh, Rylee, Olivia, Avery, Claire, Layla\",\"I had pancakes for breakfast with Hazel, Kinsley, Piper, Nora, Nevaeh, Rylee, Olivia, Avery, Claire, Layla\"\n7444,2014/11/27,I ate sushi for lunch.,I ate sushi for lunch.\n7445,2014/11/27,\"I talked to Rylee, Nevaeh, Piper, Piper for 37 minutes during lunch hours.\",\"I talked to Rylee, Nevaeh, Piper, Piper for 37 minutes during lunch hours.\"\n7446,2014/11/28,\"I spent 36 talking to Lydia, Kinsley, Rylee on various topics in the early afternoon.\",\"I spent 36 talking to Lydia, Kinsley, Rylee on various topics in the early afternoon.\"\n7447,2014/11/28,\"I talked to Olivia, Claire, Hazel for 19 minutes in the early afternoon.\",\"I talked to Olivia, Claire, Hazel for 19 minutes in the early afternoon.\"\n7448,2014/11/28,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n7449,2014/11/28,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n7450,2014/11/29,I did hiking on 2014/11/29.,I did hiking on 2014/11/29.\n7451,2014/11/29,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n7452,2014/11/29,\"I had lunch with Nevaeh, Piper, Lydia, Hazel, Eva, Nora, Claire, Olivia, Rylee, Kinsley, Layla, Piper, Avery. I ate chinese food.\",\"I had lunch with Nevaeh, Piper, Lydia, Hazel, Eva, Nora, Claire, Olivia, Rylee, Kinsley, Layla, Piper, Avery. I ate chinese food.\"\n7453,2014/11/29,I ate chinese food for dinner.,I ate chinese food for dinner.\n7454,2014/11/29,\"I talked to Piper, Rylee for 32 minutes in the early afternoon.\",\"I talked to Piper, Rylee for 32 minutes in the early afternoon.\"\n7455,2014/11/30,I did running on 2014/11/30.,I did running on 2014/11/30.\n7456,2014/11/30,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n7457,2014/11/30,I prepare a burger for dinner.,I prepare a burger for dinner.\n7458,2014/12/01,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n7459,2014/12/01,I prepare a burger for lunch.,I prepare a burger for lunch.\n7460,2014/12/01,\"I spent 51 talking to Avery, Olivia, Rylee on various topics in the early afternoon.\",\"I spent 51 talking to Avery, Olivia, Rylee on various topics in the early afternoon.\"\n7461,2014/12/01,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n7462,2014/12/02,\"I really enjoyed baking blackberry-raspberry skillet cobbler on 2014/12/02 with Carter, Kayden at my place\",\"I really enjoyed baking blackberry-raspberry skillet cobbler on 2014/12/02 with Carter, Kayden at my place\"\n7463,2014/12/02,\"I went grocery shopping with Carter, Andrew, Kayden, Emily. I bought some clementines, cherres, apricots, blackberries, pineapple juice, sports drinks, apple juice, coffee, and conditioner, paper towel, body lotion, mouth wash\",\"I went grocery shopping with Carter, Andrew, Kayden, Emily. I bought some clementines, cherres, apricots, blackberries, pineapple juice, sports drinks, apple juice, coffee, and conditioner, paper towel, body lotion, mouth wash\"\n7464,2014/12/02,\"I had fish and chips for dinner with Andrew, Carter, Kayden, Emily\",\"I had fish and chips for dinner with Andrew, Carter, Kayden, Emily\"\n7465,2014/12/03,I did hiking on 2014/12/03.,I did hiking on 2014/12/03.\n7466,2014/12/03,\"I had oatmeal for breakfast with Piper, Claire, Rylee, Eva, Nevaeh, Lydia, Kinsley, Nora, Olivia, Piper, Hazel\",\"I had oatmeal for breakfast with Piper, Claire, Rylee, Eva, Nevaeh, Lydia, Kinsley, Nora, Olivia, Piper, Hazel\"\n7467,2014/12/03,I ate a burger for dinner.,I ate a burger for dinner.\n7468,2014/12/03,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n7469,2014/12/03,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n7470,2014/12/04,\"I went grocery shopping with Nora. I bought some strawberries, blackberries, apricots, watermelons, tea, mango juice, and mouthwash, shampoo\",\"I went grocery shopping with Nora. I bought some strawberries, blackberries, apricots, watermelons, tea, mango juice, and mouthwash, shampoo\"\n7471,2014/12/04,I had a burger for lunch with Andrew,I had a burger for lunch with Andrew\n7472,2014/12/05,\"I spent time meditation on 2014/12/05 with Eva, Hazel, Piper.\",\"I spent time meditation on 2014/12/05 with Eva, Hazel, Piper.\"\n7473,2014/12/05,I did HIIT on 2014/12/05.,I did HIIT on 2014/12/05.\n7474,2014/12/05,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n7475,2014/12/05,\"I had lunch with Emily, Kayden, Andrew. I ate pasta.\",\"I had lunch with Emily, Kayden, Andrew. I ate pasta.\"\n7476,2014/12/05,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n7477,2014/12/05,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n7478,2014/12/06,I went for an annual physical checkup on 2014/12/06 at the hospital.,I went for an annual physical checkup on 2014/12/06 at the hospital.\n7479,2014/12/06,I spent 39 talking to Piper on various topics late in the evening.,I spent 39 talking to Piper on various topics late in the evening.\n7480,2014/12/07,I ate cereals for breakfast.,I ate cereals for breakfast.\n7481,2014/12/07,I spent 42 talking to Piper on various topics in the late afternoon.,I spent 42 talking to Piper on various topics in the late afternoon.\n7482,2014/12/07,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n7483,2014/12/07,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n7484,2014/12/08,I spent some time meditation on 2014/12/08.,I spent some time meditation on 2014/12/08.\n7485,2014/12/08,\"I went grocery shopping. I bought some mandarins, pineapples, raspberries, guava juice, coffee, sports drinks, tea, and toothbrush\",\"I went grocery shopping. I bought some mandarins, pineapples, raspberries, guava juice, coffee, sports drinks, tea, and toothbrush\"\n7486,2014/12/08,I did HIIT on 2014/12/08.,I did HIIT on 2014/12/08.\n7487,2014/12/09,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n7488,2014/12/09,\"I talked to Rylee, Olivia for 50 minutes late in the evening.\",\"I talked to Rylee, Olivia for 50 minutes late in the evening.\"\n7489,2014/12/09,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n7490,2014/12/09,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n7491,2014/12/10,I did biking on 2014/12/10.,I did biking on 2014/12/10.\n7492,2014/12/10,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n7493,2014/12/10,\"I spent 42 talking to Nora, Olivia, Avery, Piper on various topics late in the evening.\",\"I spent 42 talking to Nora, Olivia, Avery, Piper on various topics late in the evening.\"\n7494,2014/12/10,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n7495,2014/12/11,\"I went grocery shopping. I bought some clementines, raspberries, soda, chocolate milk, and mouthwash, body lotion\",\"I went grocery shopping. I bought some clementines, raspberries, soda, chocolate milk, and mouthwash, body lotion\"\n7496,2014/12/11,I did hiking on 2014/12/11.,I did hiking on 2014/12/11.\n7497,2014/12/11,\"I had oatmeal for breakfast with Emily, Kayden, Carter\",\"I had oatmeal for breakfast with Emily, Kayden, Carter\"\n7498,2014/12/11,\"I talked to Piper, Nevaeh, Nora, Olivia for 41 minutes during lunch hours.\",\"I talked to Piper, Nevaeh, Nora, Olivia for 41 minutes during lunch hours.\"\n7499,2014/12/11,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n7500,2014/12/12,\"I had sandwich for lunch with Emily, Andrew\",\"I had sandwich for lunch with Emily, Andrew\"\n7501,2014/12/12,\"I talked to Rylee, Nevaeh, Nora, Avery for 36 minutes late in the evening.\",\"I talked to Rylee, Nevaeh, Nora, Avery for 36 minutes late in the evening.\"\n7502,2014/12/12,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n7503,2014/12/12,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n7504,2014/12/13,I did swimming on 2014/12/13.,I did swimming on 2014/12/13.\n7505,2014/12/13,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n7506,2014/12/13,\"I had dinner with Benjamin, Avery, Jackson, Willow. I ate fish and chips.\",\"I had dinner with Benjamin, Avery, Jackson, Willow. I ate fish and chips.\"\n7507,2014/12/13,\"I talked to Lydia, Kinsley, Layla, Nevaeh for 46 minutes in the early evening.\",\"I talked to Lydia, Kinsley, Layla, Nevaeh for 46 minutes in the early evening.\"\n7508,2014/12/13,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n7509,2014/12/14,I did biking on 2014/12/14.,I did biking on 2014/12/14.\n7510,2014/12/14,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n7511,2014/12/14,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n7512,2014/12/15,\"I bought some blackberries, apples, pineapples, coffee, mineral water, facial wash online.\",\"I bought some blackberries, apples, pineapples, coffee, mineral water, facial wash online.\"\n7513,2014/12/15,I did HIIT on 2014/12/15.,I did HIIT on 2014/12/15.\n7514,2014/12/15,I ate sushi for lunch.,I ate sushi for lunch.\n7515,2014/12/15,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n7516,2014/12/15,\"I talked to Rylee, Layla, Nora, Hazel for 31 minutes late in the evening.\",\"I talked to Rylee, Layla, Nora, Hazel for 31 minutes late in the evening.\"\n7517,2014/12/15,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n7518,2014/12/16,I did running on 2014/12/16.,I did running on 2014/12/16.\n7519,2014/12/16,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n7520,2014/12/16,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n7521,2014/12/17,I did running on 2014/12/17.,I did running on 2014/12/17.\n7522,2014/12/17,I ate cereals for breakfast.,I ate cereals for breakfast.\n7523,2014/12/17,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n7524,2014/12/17,I talked to Rylee for 25 minutes in the late afternoon.,I talked to Rylee for 25 minutes in the late afternoon.\n7525,2014/12/17,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n7526,2014/12/18,I ate chinese food for lunch.,I ate chinese food for lunch.\n7527,2014/12/18,\"I spent 34 talking to Claire, Avery on various topics in the early afternoon.\",\"I spent 34 talking to Claire, Avery on various topics in the early afternoon.\"\n7528,2014/12/19,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n7529,2014/12/19,\"I had dinner with Hazel, Olivia, Nora, Piper, Piper. I ate sushi.\",\"I had dinner with Hazel, Olivia, Nora, Piper, Piper. I ate sushi.\"\n7530,2014/12/19,\"I talked to Rylee, Hazel for 36 minutes in the early afternoon.\",\"I talked to Rylee, Hazel for 36 minutes in the early afternoon.\"\n7531,2014/12/20,I did hiking on 2014/12/20.,I did hiking on 2014/12/20.\n7532,2014/12/20,I had lunch with Emily. I ate sushi.,I had lunch with Emily. I ate sushi.\n7533,2014/12/20,\"I had dinner with Olivia, Avery, Hazel, Eva, Piper. I ate tacos.\",\"I had dinner with Olivia, Avery, Hazel, Eva, Piper. I ate tacos.\"\n7534,2014/12/20,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n7535,2014/12/21,\"I really enjoyed baking blackberry jam pie-crust straws on 2014/12/21 with Kayden, Emily at my place\",\"I really enjoyed baking blackberry jam pie-crust straws on 2014/12/21 with Kayden, Emily at my place\"\n7536,2014/12/21,I did running on 2014/12/21.,I did running on 2014/12/21.\n7537,2014/12/21,\"I had breakfast with Jackson, Avery, Willow. I ate peanut-butter-jam.\",\"I had breakfast with Jackson, Avery, Willow. I ate peanut-butter-jam.\"\n7538,2014/12/21,\"I had steak for lunch with Hazel, Lydia, Eva, Piper, Nora, Piper, Olivia, Nevaeh, Layla, Claire\",\"I had steak for lunch with Hazel, Lydia, Eva, Piper, Nora, Piper, Olivia, Nevaeh, Layla, Claire\"\n7539,2014/12/21,I had indian food for dinner with Emily,I had indian food for dinner with Emily\n7540,2014/12/21,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n7541,2014/12/21,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n7542,2014/12/22,\"I bought some strawberries, guava juice, mango juice, apple juice, coffee, shampoo, toothbrush, mouthwash from the grocery store. I saw Carter at the grocery store.\",\"I bought some strawberries, guava juice, mango juice, apple juice, coffee, shampoo, toothbrush, mouthwash from the grocery store. I saw Carter at the grocery store.\"\n7543,2014/12/22,\"I had a burger for lunch with Andrew, Kayden, Emily\",\"I had a burger for lunch with Andrew, Kayden, Emily\"\n7544,2014/12/22,I ate tacos for dinner.,I ate tacos for dinner.\n7545,2014/12/22,\"I spent 55 talking to Eva, Nora, Rylee on various topics in the morning.\",\"I spent 55 talking to Eva, Nora, Rylee on various topics in the morning.\"\n7546,2014/12/23,I had sandwich for dinner with Hazel,I had sandwich for dinner with Hazel\n7547,2014/12/24,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n7548,2014/12/24,I had dinner. I ate steak.,I had dinner. I ate steak.\n7549,2014/12/24,\"I spent 51 talking to Piper, Kinsley on various topics in the early afternoon.\",\"I spent 51 talking to Piper, Kinsley on various topics in the early afternoon.\"\n7550,2014/12/24,I talked to Rylee for 33 minutes in the late afternoon.,I talked to Rylee for 33 minutes in the late afternoon.\n7551,2014/12/24,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n7552,2014/12/24,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n7553,2014/12/25,\"I bought some pineapples, watermelons, clementines, chocolate milk, sports drinks, apple juice, orange juice, paper towel, facial wash, shaving cream, shampoo online.\",\"I bought some pineapples, watermelons, clementines, chocolate milk, sports drinks, apple juice, orange juice, paper towel, facial wash, shaving cream, shampoo online.\"\n7554,2014/12/25,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n7555,2014/12/25,I ate a burger for lunch.,I ate a burger for lunch.\n7556,2014/12/25,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n7557,2014/12/25,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n7558,2014/12/26,I did hiking on 2014/12/26.,I did hiking on 2014/12/26.\n7559,2014/12/26,\"I talked to Rylee, Claire, Olivia, Hazel for 16 minutes in the late afternoon.\",\"I talked to Rylee, Claire, Olivia, Hazel for 16 minutes in the late afternoon.\"\n7560,2014/12/26,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n7561,2014/12/26,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n7562,2014/12/27,\"I went grocery shopping. I bought some apricots, blueberries, peaches, coffee, guava juice, and shaving cream, shampoo, facial wash\",\"I went grocery shopping. I bought some apricots, blueberries, peaches, coffee, guava juice, and shaving cream, shampoo, facial wash\"\n7563,2014/12/27,\"I had dinner with Benjamin, Willow. I ate tacos.\",\"I had dinner with Benjamin, Willow. I ate tacos.\"\n7564,2014/12/27,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n7565,2014/12/27,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n7566,2014/12/28,I did biking on 2014/12/28.,I did biking on 2014/12/28.\n7567,2014/12/28,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n7568,2014/12/28,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n7569,2014/12/29,\"I had chinese food for lunch with Carter, Kayden, Emily, Andrew\",\"I had chinese food for lunch with Carter, Kayden, Emily, Andrew\"\n7570,2014/12/29,I prepare a burger for dinner.,I prepare a burger for dinner.\n7571,2014/12/30,\"I had tacos for lunch with Claire, Avery, Hazel, Piper, Kinsley, Eva, Rylee, Nevaeh, Nora, Piper, Layla\",\"I had tacos for lunch with Claire, Avery, Hazel, Piper, Kinsley, Eva, Rylee, Nevaeh, Nora, Piper, Layla\"\n7572,2014/12/30,\"I talked to Piper, Avery, Layla for 20 minutes in the morning.\",\"I talked to Piper, Avery, Layla for 20 minutes in the morning.\"\n7573,2014/12/30,\"I spent 18 talking to Eva, Piper, Claire on various topics in the early evening.\",\"I spent 18 talking to Eva, Piper, Claire on various topics in the early evening.\"\n7574,2014/12/30,I spent 27 minutes on social media today.,I spent 27 minutes on social media today.\n7575,2014/12/30,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n7576,2014/12/31,I really enjoyed meditation on 2014/12/31,I really enjoyed meditation on 2014/12/31\n7577,2014/12/31,\"I went grocery shopping. I bought some blueberries, clementines, oranges, bananas, guava juice, soda, pineapple juice, and body lotion\",\"I went grocery shopping. I bought some blueberries, clementines, oranges, bananas, guava juice, soda, pineapple juice, and body lotion\"\n7578,2014/12/31,I ate a burger for lunch.,I ate a burger for lunch.\n7579,2014/12/31,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n7580,2015/01/01,I spent 29 talking to Eva on various topics in the early evening.,I spent 29 talking to Eva on various topics in the early evening.\n7581,2015/01/01,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n7582,2015/01/02,\"I bought some apples, mandarins, sports drinks, toothbrush, paper towel, shampoo online.\",\"I bought some apples, mandarins, sports drinks, toothbrush, paper towel, shampoo online.\"\n7583,2015/01/02,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n7584,2015/01/02,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n7585,2015/01/02,I ate pasta for dinner.,I ate pasta for dinner.\n7586,2015/01/02,\"I talked to Claire, Rylee, Lydia for 36 minutes in the early afternoon.\",\"I talked to Claire, Rylee, Lydia for 36 minutes in the early afternoon.\"\n7587,2015/01/02,I watched news for 40 minutes on TV today.,I watched news for 40 minutes on TV today.\n7588,2015/01/03,I did biking on 2015/01/03.,I did biking on 2015/01/03.\n7589,2015/01/03,I ate steak for dinner.,I ate steak for dinner.\n7590,2015/01/03,I talked to Piper for 44 minutes in the late afternoon.,I talked to Piper for 44 minutes in the late afternoon.\n7591,2015/01/03,I talked to Kinsley for 42 minutes late in the evening.,I talked to Kinsley for 42 minutes late in the evening.\n7592,2015/01/03,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n7593,2015/01/04,I did biking on 2015/01/04.,I did biking on 2015/01/04.\n7594,2015/01/04,\"I had breakfast with Layla, Hazel, Eva, Rylee, Avery, Kinsley. I ate pancakes.\",\"I had breakfast with Layla, Hazel, Eva, Rylee, Avery, Kinsley. I ate pancakes.\"\n7595,2015/01/04,\"I had steak for lunch with Carter, Andrew, Emily, Kayden\",\"I had steak for lunch with Carter, Andrew, Emily, Kayden\"\n7596,2015/01/04,\"I talked to Eva, Nora, Layla, Nevaeh for 41 minutes in the morning.\",\"I talked to Eva, Nora, Layla, Nevaeh for 41 minutes in the morning.\"\n7597,2015/01/04,\"I talked to Claire, Layla, Eva for 41 minutes in the early evening.\",\"I talked to Claire, Layla, Eva for 41 minutes in the early evening.\"\n7598,2015/01/04,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n7599,2015/01/05,I really enjoyed yoga on 2015/01/05,I really enjoyed yoga on 2015/01/05\n7600,2015/01/05,\"I had dinner with Eva, Nora. I ate indian food.\",\"I had dinner with Eva, Nora. I ate indian food.\"\n7601,2015/01/05,I spent 36 talking to Eva on various topics in the morning.,I spent 36 talking to Eva on various topics in the morning.\n7602,2015/01/05,I talked to Piper for 28 minutes in the early evening.,I talked to Piper for 28 minutes in the early evening.\n7603,2015/01/05,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n7604,2015/01/05,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n7605,2015/01/06,\"I bought some strawberries, peaches, apples, watermelons, milk, facial wash, mouth wash, body lotion from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\",\"I bought some strawberries, peaches, apples, watermelons, milk, facial wash, mouth wash, body lotion from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\"\n7606,2015/01/06,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n7607,2015/01/06,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n7608,2015/01/06,\"I spent 19 talking to Avery, Kinsley on various topics in the early evening.\",\"I spent 19 talking to Avery, Kinsley on various topics in the early evening.\"\n7609,2015/01/07,I did swimming on 2015/01/07.,I did swimming on 2015/01/07.\n7610,2015/01/07,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n7611,2015/01/07,I had lunch with Layla. I ate fish and chips.,I had lunch with Layla. I ate fish and chips.\n7612,2015/01/07,I ate sushi for dinner.,I ate sushi for dinner.\n7613,2015/01/07,\"I spent 28 talking to Rylee, Piper, Olivia, Layla on various topics in the early afternoon.\",\"I spent 28 talking to Rylee, Piper, Olivia, Layla on various topics in the early afternoon.\"\n7614,2015/01/07,I spent 46 minutes watching a documentary on TV today.,I spent 46 minutes watching a documentary on TV today.\n7615,2015/01/08,I went on a date with Luca on 2015/01/08 at a restaurant,I went on a date with Luca on 2015/01/08 at a restaurant\n7616,2015/01/08,I watched a tv series for 26 minutes on TV today.,I watched a tv series for 26 minutes on TV today.\n7617,2015/01/09,\"I went grocery shopping with Emily, Kayden, Andrew. I bought some apricots, nectarines, cherres, pineapples, soda, mango juice, milk, pineapple juice, and mouth wash\",\"I went grocery shopping with Emily, Kayden, Andrew. I bought some apricots, nectarines, cherres, pineapples, soda, mango juice, milk, pineapple juice, and mouth wash\"\n7618,2015/01/09,I had breakfast with Emily. I ate cereals.,I had breakfast with Emily. I ate cereals.\n7619,2015/01/09,\"I had lunch with Rylee, Piper, Olivia, Lydia, Nevaeh, Hazel, Layla, Nora. I ate fish and chips.\",\"I had lunch with Rylee, Piper, Olivia, Lydia, Nevaeh, Hazel, Layla, Nora. I ate fish and chips.\"\n7620,2015/01/09,\"I talked to Kinsley, Layla, Rylee, Lydia for 10 minutes late in the evening.\",\"I talked to Kinsley, Layla, Rylee, Lydia for 10 minutes late in the evening.\"\n7621,2015/01/09,I talked to Lydia for 17 minutes during lunch hours.,I talked to Lydia for 17 minutes during lunch hours.\n7622,2015/01/09,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n7623,2015/01/09,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n7624,2015/01/10,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n7625,2015/01/10,I ate pasta for lunch.,I ate pasta for lunch.\n7626,2015/01/10,I prepare a burger for dinner.,I prepare a burger for dinner.\n7627,2015/01/10,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n7628,2015/01/10,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n7629,2015/01/11,\"I had breakfast with Carter, Kayden. I ate cereals.\",\"I had breakfast with Carter, Kayden. I ate cereals.\"\n7630,2015/01/11,\"I talked to Nevaeh, Claire for 54 minutes during lunch hours.\",\"I talked to Nevaeh, Claire for 54 minutes during lunch hours.\"\n7631,2015/01/11,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n7632,2015/01/11,I watched a documentary for 46 minutes on TV today.,I watched a documentary for 46 minutes on TV today.\n7633,2015/01/12,\"I went grocery shopping. I bought some pineapples, watermelons, clementines, mango juice, apple juice, and facial wash\",\"I went grocery shopping. I bought some pineapples, watermelons, clementines, mango juice, apple juice, and facial wash\"\n7634,2015/01/12,I did weight lifting on 2015/01/12.,I did weight lifting on 2015/01/12.\n7635,2015/01/12,\"I had lunch with Emily, Kayden, Carter. I ate tacos.\",\"I had lunch with Emily, Kayden, Carter. I ate tacos.\"\n7636,2015/01/12,I spent 37 talking to Avery on various topics in the early afternoon.,I spent 37 talking to Avery on various topics in the early afternoon.\n7637,2015/01/12,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n7638,2015/01/12,I spent 12 minutes watching a documentary on TV today.,I spent 12 minutes watching a documentary on TV today.\n7639,2015/01/13,\"I had pasta for lunch with Jackson, Avery\",\"I had pasta for lunch with Jackson, Avery\"\n7640,2015/01/13,I ate chinese food for dinner.,I ate chinese food for dinner.\n7641,2015/01/13,\"I spent 32 talking to Nora, Avery, Hazel, Eva on various topics during lunch hours.\",\"I spent 32 talking to Nora, Avery, Hazel, Eva on various topics during lunch hours.\"\n7642,2015/01/14,I did running on 2015/01/14.,I did running on 2015/01/14.\n7643,2015/01/14,I ate steak for dinner.,I ate steak for dinner.\n7644,2015/01/14,I spent 47 talking to Claire on various topics in the early afternoon.,I spent 47 talking to Claire on various topics in the early afternoon.\n7645,2015/01/14,I spent 43 minutes on a book today.,I spent 43 minutes on a book today.\n7646,2015/01/14,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n7647,2015/01/15,I went on a date with Joshua on 2015/01/15 at a park,I went on a date with Joshua on 2015/01/15 at a park\n7648,2015/01/15,I did HIIT on 2015/01/15.,I did HIIT on 2015/01/15.\n7649,2015/01/15,\"I talked to Claire, Layla, Piper for 13 minutes in the early evening.\",\"I talked to Claire, Layla, Piper for 13 minutes in the early evening.\"\n7650,2015/01/16,\"I bought some mandarins, chocolate milk, milk, mineral water, mango juice, body lotion, facial wash, shaving cream, conditioner online.\",\"I bought some mandarins, chocolate milk, milk, mineral water, mango juice, body lotion, facial wash, shaving cream, conditioner online.\"\n7651,2015/01/16,I did HIIT on 2015/01/16.,I did HIIT on 2015/01/16.\n7652,2015/01/16,\"I had oatmeal for breakfast with Nora, Eva, Olivia, Rylee, Nevaeh, Hazel, Kinsley, Avery\",\"I had oatmeal for breakfast with Nora, Eva, Olivia, Rylee, Nevaeh, Hazel, Kinsley, Avery\"\n7653,2015/01/16,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n7654,2015/01/16,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n7655,2015/01/17,\"I spent 55 talking to Lydia, Piper, Hazel on various topics in the late afternoon.\",\"I spent 55 talking to Lydia, Piper, Hazel on various topics in the late afternoon.\"\n7656,2015/01/18,I did hiking on 2015/01/18.,I did hiking on 2015/01/18.\n7657,2015/01/18,\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate toast and cheese.\",\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate toast and cheese.\"\n7658,2015/01/18,I prepare pasta for lunch.,I prepare pasta for lunch.\n7659,2015/01/18,\"I had pasta for dinner with Carter, Kayden, Andrew\",\"I had pasta for dinner with Carter, Kayden, Andrew\"\n7660,2015/01/19,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n7661,2015/01/19,\"I spent 8 talking to Piper, Eva, Hazel, Piper on various topics during lunch hours.\",\"I spent 8 talking to Piper, Eva, Hazel, Piper on various topics during lunch hours.\"\n7662,2015/01/19,\"I talked to Lydia, Kinsley, Hazel, Piper for 22 minutes in the morning.\",\"I talked to Lydia, Kinsley, Hazel, Piper for 22 minutes in the morning.\"\n7663,2015/01/19,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n7664,2015/01/20,\"I bought some apricots, chocolate milk, mineral water, body lotion, toothbrush, shaving cream from the grocery store. I saw Andrew, Emily at the grocery store.\",\"I bought some apricots, chocolate milk, mineral water, body lotion, toothbrush, shaving cream from the grocery store. I saw Andrew, Emily at the grocery store.\"\n7665,2015/01/20,\"I had lunch with Carter, Kayden, Emily, Andrew. I ate sandwich.\",\"I had lunch with Carter, Kayden, Emily, Andrew. I ate sandwich.\"\n7666,2015/01/20,\"I had dinner with Kayden, Andrew. I ate a burger.\",\"I had dinner with Kayden, Andrew. I ate a burger.\"\n7667,2015/01/20,\"I spent 11 talking to Nora, Piper on various topics during lunch hours.\",\"I spent 11 talking to Nora, Piper on various topics during lunch hours.\"\n7668,2015/01/21,I did running on 2015/01/21.,I did running on 2015/01/21.\n7669,2015/01/21,I ate steak for lunch.,I ate steak for lunch.\n7670,2015/01/21,\"I talked to Eva, Kinsley, Claire, Avery for 43 minutes in the late afternoon.\",\"I talked to Eva, Kinsley, Claire, Avery for 43 minutes in the late afternoon.\"\n7671,2015/01/21,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n7672,2015/01/22,I did HIIT on 2015/01/22.,I did HIIT on 2015/01/22.\n7673,2015/01/22,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n7674,2015/01/22,I ate steak for lunch.,I ate steak for lunch.\n7675,2015/01/22,\"I spent 35 talking to Piper, Kinsley, Avery, Nora on various topics in the early evening.\",\"I spent 35 talking to Piper, Kinsley, Avery, Nora on various topics in the early evening.\"\n7676,2015/01/22,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n7677,2015/01/23,I had pasta for lunch with Avery,I had pasta for lunch with Avery\n7678,2015/01/24,I did swimming on 2015/01/24.,I did swimming on 2015/01/24.\n7679,2015/01/24,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n7680,2015/01/24,\"I talked to Piper, Nora, Olivia, Eva for 19 minutes in the early evening.\",\"I talked to Piper, Nora, Olivia, Eva for 19 minutes in the early evening.\"\n7681,2015/01/25,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n7682,2015/01/25,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n7683,2015/01/25,\"I spent 32 talking to Avery, Kinsley on various topics in the early evening.\",\"I spent 32 talking to Avery, Kinsley on various topics in the early evening.\"\n7684,2015/01/25,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n7685,2015/01/25,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n7686,2015/01/26,I spent some time working out on 2015/01/26.,I spent some time working out on 2015/01/26.\n7687,2015/01/26,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n7688,2015/01/26,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n7689,2015/01/26,I ate a burger for dinner.,I ate a burger for dinner.\n7690,2015/01/26,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n7691,2015/01/27,I did running on 2015/01/27.,I did running on 2015/01/27.\n7692,2015/01/27,\"I had oatmeal for breakfast with Carter, Andrew, Kayden, Emily\",\"I had oatmeal for breakfast with Carter, Andrew, Kayden, Emily\"\n7693,2015/01/27,I ate indian food for dinner.,I ate indian food for dinner.\n7694,2015/01/27,I spent 13 talking to Piper on various topics in the early evening.,I spent 13 talking to Piper on various topics in the early evening.\n7695,2015/01/27,\"I talked to Hazel, Nevaeh for 34 minutes late in the evening.\",\"I talked to Hazel, Nevaeh for 34 minutes late in the evening.\"\n7696,2015/01/27,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n7697,2015/01/28,\"On 2015/01/28, I took Chloe on a date to a coffee Shop\",\"On 2015/01/28, I took Chloe on a date to a coffee Shop\"\n7698,2015/01/28,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n7699,2015/01/28,I had dinner with Andrew. I ate tacos.,I had dinner with Andrew. I ate tacos.\n7700,2015/01/28,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n7701,2015/01/28,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n7702,2015/01/29,\"I had breakfast with Andrew, Carter. I ate pancakes.\",\"I had breakfast with Andrew, Carter. I ate pancakes.\"\n7703,2015/01/29,I ate sandwich for lunch.,I ate sandwich for lunch.\n7704,2015/01/29,\"I had steak for dinner with Avery, Willow, Benjamin, Jackson\",\"I had steak for dinner with Avery, Willow, Benjamin, Jackson\"\n7705,2015/01/29,\"I spent 21 talking to Nora, Nevaeh, Rylee on various topics during lunch hours.\",\"I spent 21 talking to Nora, Nevaeh, Rylee on various topics during lunch hours.\"\n7706,2015/01/29,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n7707,2015/01/30,\"I bought some cherres, nectarines, watermelons, coffee, apple juice, soda, toothpaste, shampoo, conditioner online.\",\"I bought some cherres, nectarines, watermelons, coffee, apple juice, soda, toothpaste, shampoo, conditioner online.\"\n7708,2015/01/30,I did HIIT on 2015/01/30.,I did HIIT on 2015/01/30.\n7709,2015/01/30,I had breakfast with Avery. I ate cereals.,I had breakfast with Avery. I ate cereals.\n7710,2015/01/30,I ate tacos for dinner.,I ate tacos for dinner.\n7711,2015/01/30,I talked to Eva for 29 minutes in the late afternoon.,I talked to Eva for 29 minutes in the late afternoon.\n7712,2015/01/31,\"I had toast and cheese for breakfast with Kayden, Andrew, Emily, Carter\",\"I had toast and cheese for breakfast with Kayden, Andrew, Emily, Carter\"\n7713,2015/01/31,\"I spent 42 talking to Lydia, Rylee, Eva on various topics in the late afternoon.\",\"I spent 42 talking to Lydia, Rylee, Eva on various topics in the late afternoon.\"\n7714,2015/02/01,\"I really enjoyed baking carrot cake, peanut butter cookies on 2015/02/01 with Emily, Carter at my place\",\"I really enjoyed baking carrot cake, peanut butter cookies on 2015/02/01 with Emily, Carter at my place\"\n7715,2015/02/01,I did weight lifting on 2015/02/01.,I did weight lifting on 2015/02/01.\n7716,2015/02/01,I ate pasta for lunch.,I ate pasta for lunch.\n7717,2015/02/01,\"I talked to Hazel, Layla, Claire for 29 minutes in the early afternoon.\",\"I talked to Hazel, Layla, Claire for 29 minutes in the early afternoon.\"\n7718,2015/02/01,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n7719,2015/02/01,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n7720,2015/02/02,\"I went grocery shopping. I bought some pineapples, blueberries, coffee, chocolate milk, soda, orange juice, and shaving cream, mouth wash, toothpaste\",\"I went grocery shopping. I bought some pineapples, blueberries, coffee, chocolate milk, soda, orange juice, and shaving cream, mouth wash, toothpaste\"\n7721,2015/02/02,I ate a burger for lunch.,I ate a burger for lunch.\n7722,2015/02/02,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n7723,2015/02/03,\"I really enjoyed cooking indian red lentil, scallion pancake on 2015/02/03 with Emily, Kayden at my place\",\"I really enjoyed cooking indian red lentil, scallion pancake on 2015/02/03 with Emily, Kayden at my place\"\n7724,2015/02/03,I did running on 2015/02/03.,I did running on 2015/02/03.\n7725,2015/02/03,I ate a burger for lunch.,I ate a burger for lunch.\n7726,2015/02/03,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n7727,2015/02/03,\"I talked to Claire, Piper for 32 minutes in the early evening.\",\"I talked to Claire, Piper for 32 minutes in the early evening.\"\n7728,2015/02/03,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n7729,2015/02/03,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n7730,2015/02/04,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n7731,2015/02/04,I ate steak for dinner.,I ate steak for dinner.\n7732,2015/02/04,\"I spent 8 talking to Avery, Lydia, Nora, Eva on various topics in the late afternoon.\",\"I spent 8 talking to Avery, Lydia, Nora, Eva on various topics in the late afternoon.\"\n7733,2015/02/05,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n7734,2015/02/05,I ate a burger for lunch.,I ate a burger for lunch.\n7735,2015/02/05,\"I had pasta for dinner with Carter, Andrew, Emily\",\"I had pasta for dinner with Carter, Andrew, Emily\"\n7736,2015/02/05,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n7737,2015/02/05,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n7738,2015/02/06,\"I talked to Olivia, Kinsley for 30 minutes in the early afternoon.\",\"I talked to Olivia, Kinsley for 30 minutes in the early afternoon.\"\n7739,2015/02/06,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n7740,2015/02/07,\"I spent 46 talking to Olivia, Piper, Nora on various topics in the late afternoon.\",\"I spent 46 talking to Olivia, Piper, Nora on various topics in the late afternoon.\"\n7741,2015/02/07,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n7742,2015/02/07,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n7743,2015/02/08,I went on a date with Emily on 2015/02/08 at a restaurant,I went on a date with Emily on 2015/02/08 at a restaurant\n7744,2015/02/08,I did running on 2015/02/08.,I did running on 2015/02/08.\n7745,2015/02/08,\"I had breakfast with Rylee, Layla, Piper, Eva. I ate pancakes.\",\"I had breakfast with Rylee, Layla, Piper, Eva. I ate pancakes.\"\n7746,2015/02/08,\"I had pasta for dinner with Willow, Jackson\",\"I had pasta for dinner with Willow, Jackson\"\n7747,2015/02/08,\"I talked to Avery, Claire for 38 minutes in the early afternoon.\",\"I talked to Avery, Claire for 38 minutes in the early afternoon.\"\n7748,2015/02/08,I spent 33 minutes watching a tv series on TV today.,I spent 33 minutes watching a tv series on TV today.\n7749,2015/02/09,I did HIIT on 2015/02/09.,I did HIIT on 2015/02/09.\n7750,2015/02/09,I prepare sushi for lunch.,I prepare sushi for lunch.\n7751,2015/02/09,I ate sushi for dinner.,I ate sushi for dinner.\n7752,2015/02/09,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n7753,2015/02/10,I watched a tv series for 5 minutes on TV today.,I watched a tv series for 5 minutes on TV today.\n7754,2015/02/11,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n7755,2015/02/11,\"I talked to Avery, Nora, Olivia for 52 minutes during lunch hours.\",\"I talked to Avery, Nora, Olivia for 52 minutes during lunch hours.\"\n7756,2015/02/11,I talked to Kinsley for 49 minutes in the morning.,I talked to Kinsley for 49 minutes in the morning.\n7757,2015/02/11,I watched a movie for 47 minutes on TV today.,I watched a movie for 47 minutes on TV today.\n7758,2015/02/12,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n7759,2015/02/12,\"I talked to Hazel, Lydia for 30 minutes in the morning.\",\"I talked to Hazel, Lydia for 30 minutes in the morning.\"\n7760,2015/02/13,\"I had dinner with Emily, Andrew, Kayden. I ate tacos.\",\"I had dinner with Emily, Andrew, Kayden. I ate tacos.\"\n7761,2015/02/13,\"I talked to Nevaeh, Eva, Piper for 33 minutes in the early afternoon.\",\"I talked to Nevaeh, Eva, Piper for 33 minutes in the early afternoon.\"\n7762,2015/02/13,\"I spent 38 talking to Eva, Lydia, Piper, Layla on various topics in the early afternoon.\",\"I spent 38 talking to Eva, Lydia, Piper, Layla on various topics in the early afternoon.\"\n7763,2015/02/14,I went on a date with Maverick on 2015/02/14 at a park,I went on a date with Maverick on 2015/02/14 at a park\n7764,2015/02/14,\"I had oatmeal for breakfast with Kinsley, Eva, Piper, Nevaeh, Hazel, Claire, Avery\",\"I had oatmeal for breakfast with Kinsley, Eva, Piper, Nevaeh, Hazel, Claire, Avery\"\n7765,2015/02/14,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n7766,2015/02/14,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n7767,2015/02/15,I went on a date with Levi on 2015/02/15 at a coffee Shop,I went on a date with Levi on 2015/02/15 at a coffee Shop\n7768,2015/02/15,I spent some time gardening on 2015/02/15.,I spent some time gardening on 2015/02/15.\n7769,2015/02/15,\"I bought some nectarines, watermelons, blueberries, guava juice, apple juice, toilet paper, mouthwash online.\",\"I bought some nectarines, watermelons, blueberries, guava juice, apple juice, toilet paper, mouthwash online.\"\n7770,2015/02/15,I talked to Kinsley for 51 minutes during lunch hours.,I talked to Kinsley for 51 minutes during lunch hours.\n7771,2015/02/15,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n7772,2015/02/15,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n7773,2015/02/16,\"I entertained Emily, Carter at my place on 2015/02/16 and bake cranberry apple danish, blackberry jam pie-crust straws, chocolate-chip mug brownie\",\"I entertained Emily, Carter at my place on 2015/02/16 and bake cranberry apple danish, blackberry jam pie-crust straws, chocolate-chip mug brownie\"\n7774,2015/02/16,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n7775,2015/02/16,\"I talked to Claire, Avery, Lydia, Hazel for 41 minutes late in the evening.\",\"I talked to Claire, Avery, Lydia, Hazel for 41 minutes late in the evening.\"\n7776,2015/02/16,I spent 20 talking to Olivia on various topics late in the evening.,I spent 20 talking to Olivia on various topics late in the evening.\n7777,2015/02/16,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n7778,2015/02/16,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n7779,2015/02/17,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n7780,2015/02/17,I talked to Avery for 47 minutes in the early evening.,I talked to Avery for 47 minutes in the early evening.\n7781,2015/02/17,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n7782,2015/02/17,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n7783,2015/02/18,I did hiking on 2015/02/18.,I did hiking on 2015/02/18.\n7784,2015/02/18,\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew, Emily\",\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew, Emily\"\n7785,2015/02/18,I prepare tacos for dinner.,I prepare tacos for dinner.\n7786,2015/02/18,\"I talked to Lydia, Olivia, Hazel, Avery for 14 minutes late in the evening.\",\"I talked to Lydia, Olivia, Hazel, Avery for 14 minutes late in the evening.\"\n7787,2015/02/18,\"I talked to Piper, Kinsley, Piper for 17 minutes late in the evening.\",\"I talked to Piper, Kinsley, Piper for 17 minutes late in the evening.\"\n7788,2015/02/19,I did HIIT on 2015/02/19.,I did HIIT on 2015/02/19.\n7789,2015/02/19,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n7790,2015/02/19,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n7791,2015/02/20,\"I spent 46 talking to Hazel, Avery on various topics in the early afternoon.\",\"I spent 46 talking to Hazel, Avery on various topics in the early afternoon.\"\n7792,2015/02/20,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n7793,2015/02/21,\"I went grocery shopping. I bought some mandarins, blueberries, chocolate milk, and facial wash, toilet paper, shaving cream\",\"I went grocery shopping. I bought some mandarins, blueberries, chocolate milk, and facial wash, toilet paper, shaving cream\"\n7794,2015/02/21,I did hiking on 2015/02/21.,I did hiking on 2015/02/21.\n7795,2015/02/21,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n7796,2015/02/21,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n7797,2015/02/21,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n7798,2015/02/22,\"I really enjoyed baking chocolate chip cookie in a mug, giant cinnamon roll on 2015/02/22 with Piper at my place\",\"I really enjoyed baking chocolate chip cookie in a mug, giant cinnamon roll on 2015/02/22 with Piper at my place\"\n7799,2015/02/22,\"I went grocery shopping with Avery, Rylee, Piper. I bought some apples, guava, watermelons, pears, guava juice, pineapple juice, mineral water, sports drinks, and mouthwash, paper towel\",\"I went grocery shopping with Avery, Rylee, Piper. I bought some apples, guava, watermelons, pears, guava juice, pineapple juice, mineral water, sports drinks, and mouthwash, paper towel\"\n7800,2015/02/22,I did biking on 2015/02/22.,I did biking on 2015/02/22.\n7801,2015/02/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n7802,2015/02/23,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n7803,2015/02/23,\"I spent 34 talking to Claire, Nevaeh, Lydia on various topics in the early evening.\",\"I spent 34 talking to Claire, Nevaeh, Lydia on various topics in the early evening.\"\n7804,2015/02/24,I did hiking on 2015/02/24.,I did hiking on 2015/02/24.\n7805,2015/02/24,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n7806,2015/02/24,I ate sushi for lunch.,I ate sushi for lunch.\n7807,2015/02/24,\"I had dinner with Andrew, Kayden, Carter, Emily. I ate fish and chips.\",\"I had dinner with Andrew, Kayden, Carter, Emily. I ate fish and chips.\"\n7808,2015/02/24,\"I spent 16 talking to Hazel, Rylee, Nora, Olivia on various topics late in the evening.\",\"I spent 16 talking to Hazel, Rylee, Nora, Olivia on various topics late in the evening.\"\n7809,2015/02/24,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n7810,2015/02/25,I really enjoyed meditation on 2015/02/25,I really enjoyed meditation on 2015/02/25\n7811,2015/02/25,I did running on 2015/02/25.,I did running on 2015/02/25.\n7812,2015/02/25,\"I spent 29 talking to Rylee, Hazel, Piper, Eva on various topics in the early evening.\",\"I spent 29 talking to Rylee, Hazel, Piper, Eva on various topics in the early evening.\"\n7813,2015/02/25,\"I talked to Avery, Piper, Claire for 20 minutes during lunch hours.\",\"I talked to Avery, Piper, Claire for 20 minutes during lunch hours.\"\n7814,2015/02/25,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n7815,2015/02/26,I went on a date with Axel on 2015/02/26 at a boba shop,I went on a date with Axel on 2015/02/26 at a boba shop\n7816,2015/02/26,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n7817,2015/02/26,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n7818,2015/02/26,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n7819,2015/02/27,I did weight lifting on 2015/02/27.,I did weight lifting on 2015/02/27.\n7820,2015/02/27,\"I had breakfast with Carter, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Kayden. I ate peanut-butter-jam.\"\n7821,2015/02/27,\"I talked to Eva, Kinsley, Piper, Hazel for 34 minutes in the late afternoon.\",\"I talked to Eva, Kinsley, Piper, Hazel for 34 minutes in the late afternoon.\"\n7822,2015/02/27,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n7823,2015/02/28,\"I bought some blackberries, bananas, cherres, mango juice, sports drinks, tea, soda, facial wash, mouthwash, toothpaste online.\",\"I bought some blackberries, bananas, cherres, mango juice, sports drinks, tea, soda, facial wash, mouthwash, toothpaste online.\"\n7824,2015/02/28,I did weight lifting on 2015/02/28.,I did weight lifting on 2015/02/28.\n7825,2015/02/28,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n7826,2015/02/28,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n7827,2015/02/28,\"I spent 49 talking to Hazel, Piper on various topics late in the evening.\",\"I spent 49 talking to Hazel, Piper on various topics late in the evening.\"\n7828,2015/02/28,\"I talked to Nevaeh, Piper, Claire for 49 minutes during lunch hours.\",\"I talked to Nevaeh, Piper, Claire for 49 minutes during lunch hours.\"\n7829,2015/02/28,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n7830,2015/03/01,I spent some time yoga on 2015/03/01.,I spent some time yoga on 2015/03/01.\n7831,2015/03/01,I did running on 2015/03/01.,I did running on 2015/03/01.\n7832,2015/03/01,\"I had breakfast with Avery, Nevaeh, Hazel, Nora, Piper, Kinsley. I ate oatmeal.\",\"I had breakfast with Avery, Nevaeh, Hazel, Nora, Piper, Kinsley. I ate oatmeal.\"\n7833,2015/03/01,I had tacos for dinner with Kayden,I had tacos for dinner with Kayden\n7834,2015/03/01,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n7835,2015/03/02,I did running on 2015/03/02.,I did running on 2015/03/02.\n7836,2015/03/02,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n7837,2015/03/02,I spent 45 talking to Kinsley on various topics in the early evening.,I spent 45 talking to Kinsley on various topics in the early evening.\n7838,2015/03/02,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n7839,2015/03/03,\"I bought some pineapples, nectarines, mandarins, mineral water, apple juice, mango juice, shaving cream, mouthwash from the grocery store. I saw Andrew, Kayden, Carter, Emily at the grocery store.\",\"I bought some pineapples, nectarines, mandarins, mineral water, apple juice, mango juice, shaving cream, mouthwash from the grocery store. I saw Andrew, Kayden, Carter, Emily at the grocery store.\"\n7840,2015/03/03,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n7841,2015/03/03,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n7842,2015/03/04,I did HIIT on 2015/03/04.,I did HIIT on 2015/03/04.\n7843,2015/03/04,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n7844,2015/03/04,I had lunch with Carter. I ate sushi.,I had lunch with Carter. I ate sushi.\n7845,2015/03/04,I prepare indian food for dinner.,I prepare indian food for dinner.\n7846,2015/03/04,\"I spent 42 talking to Lydia, Claire on various topics late in the evening.\",\"I spent 42 talking to Lydia, Claire on various topics late in the evening.\"\n7847,2015/03/04,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n7848,2015/03/05,I talked to Claire for 12 minutes during lunch hours.,I talked to Claire for 12 minutes during lunch hours.\n7849,2015/03/05,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n7850,2015/03/06,I did weight lifting on 2015/03/06.,I did weight lifting on 2015/03/06.\n7851,2015/03/06,\"I had breakfast with Avery, Jackson, Willow, Benjamin. I ate pancakes.\",\"I had breakfast with Avery, Jackson, Willow, Benjamin. I ate pancakes.\"\n7852,2015/03/06,I prepare sushi for lunch.,I prepare sushi for lunch.\n7853,2015/03/06,I ate indian food for dinner.,I ate indian food for dinner.\n7854,2015/03/06,\"I talked to Layla, Kinsley, Nevaeh for 30 minutes in the morning.\",\"I talked to Layla, Kinsley, Nevaeh for 30 minutes in the morning.\"\n7855,2015/03/06,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n7856,2015/03/07,\"I had breakfast with Lydia, Nevaeh, Kinsley, Nora, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Lydia, Nevaeh, Kinsley, Nora, Piper. I ate eggs, sausages, and bread.\"\n7857,2015/03/07,\"I had sushi for lunch with Kayden, Carter, Emily\",\"I had sushi for lunch with Kayden, Carter, Emily\"\n7858,2015/03/08,I went on a date with Ella on 2015/03/08 at a park,I went on a date with Ella on 2015/03/08 at a park\n7859,2015/03/08,I spent some time gardening on 2015/03/08.,I spent some time gardening on 2015/03/08.\n7860,2015/03/08,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n7861,2015/03/08,\"I had lunch with Kayden, Carter, Andrew, Emily. I ate sushi.\",\"I had lunch with Kayden, Carter, Andrew, Emily. I ate sushi.\"\n7862,2015/03/08,\"I had dinner with Hazel, Eva, Layla. I ate chinese food.\",\"I had dinner with Hazel, Eva, Layla. I ate chinese food.\"\n7863,2015/03/08,\"I spent 10 talking to Layla, Nevaeh, Eva, Kinsley on various topics in the late afternoon.\",\"I spent 10 talking to Layla, Nevaeh, Eva, Kinsley on various topics in the late afternoon.\"\n7864,2015/03/08,I spent 9 talking to Rylee on various topics in the morning.,I spent 9 talking to Rylee on various topics in the morning.\n7865,2015/03/08,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n7866,2015/03/09,\"I bought some clementines, nectarines, watermelons, coffee, soda, orange juice, milk, conditioner, paper towel online.\",\"I bought some clementines, nectarines, watermelons, coffee, soda, orange juice, milk, conditioner, paper towel online.\"\n7867,2015/03/09,\"I had dinner with Avery, Benjamin, Willow, Jackson. I ate pasta.\",\"I had dinner with Avery, Benjamin, Willow, Jackson. I ate pasta.\"\n7868,2015/03/10,I ate chinese food for lunch.,I ate chinese food for lunch.\n7869,2015/03/10,I spent 42 talking to Piper on various topics in the late afternoon.,I spent 42 talking to Piper on various topics in the late afternoon.\n7870,2015/03/11,I went for an annual vision checkup on 2015/03/11 at the private clinic.,I went for an annual vision checkup on 2015/03/11 at the private clinic.\n7871,2015/03/11,\"I had breakfast with Nora, Piper, Lydia, Claire, Olivia, Layla, Avery. I ate toast and cheese.\",\"I had breakfast with Nora, Piper, Lydia, Claire, Olivia, Layla, Avery. I ate toast and cheese.\"\n7872,2015/03/11,\"I had sandwich for dinner with Layla, Lydia, Kinsley\",\"I had sandwich for dinner with Layla, Lydia, Kinsley\"\n7873,2015/03/12,I did weight lifting on 2015/03/12.,I did weight lifting on 2015/03/12.\n7874,2015/03/12,I prepare steak for lunch.,I prepare steak for lunch.\n7875,2015/03/12,\"I spent 9 talking to Layla, Nora on various topics in the early afternoon.\",\"I spent 9 talking to Layla, Nora on various topics in the early afternoon.\"\n7876,2015/03/12,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n7877,2015/03/13,I ate sushi for dinner.,I ate sushi for dinner.\n7878,2015/03/13,\"I talked to Piper, Piper for 33 minutes in the early afternoon.\",\"I talked to Piper, Piper for 33 minutes in the early afternoon.\"\n7879,2015/03/13,I talked to Lydia for 13 minutes in the late afternoon.,I talked to Lydia for 13 minutes in the late afternoon.\n7880,2015/03/13,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n7881,2015/03/14,\"I went grocery shopping with Claire. I bought some apricots, mangos, orange juice, coffee, chocolate milk, and body lotion, toothbrush, shaving cream, toothpaste\",\"I went grocery shopping with Claire. I bought some apricots, mangos, orange juice, coffee, chocolate milk, and body lotion, toothbrush, shaving cream, toothpaste\"\n7882,2015/03/14,I had indian food for dinner with Kayden,I had indian food for dinner with Kayden\n7883,2015/03/14,\"I spent 11 talking to Nora, Eva on various topics in the early afternoon.\",\"I spent 11 talking to Nora, Eva on various topics in the early afternoon.\"\n7884,2015/03/14,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n7885,2015/03/15,I did swimming on 2015/03/15.,I did swimming on 2015/03/15.\n7886,2015/03/15,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n7887,2015/03/15,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n7888,2015/03/16,\"I went grocery shopping. I bought some raspberries, tea, mango juice, and facial wash, mouth wash\",\"I went grocery shopping. I bought some raspberries, tea, mango juice, and facial wash, mouth wash\"\n7889,2015/03/16,I had tacos for lunch with Kayden,I had tacos for lunch with Kayden\n7890,2015/03/16,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n7891,2015/03/16,\"I talked to Kinsley, Layla for 11 minutes in the early afternoon.\",\"I talked to Kinsley, Layla for 11 minutes in the early afternoon.\"\n7892,2015/03/16,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n7893,2015/03/16,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n7894,2015/03/17,I ate cereals for breakfast.,I ate cereals for breakfast.\n7895,2015/03/17,\"I had a burger for dinner with Andrew, Carter, Kayden, Emily\",\"I had a burger for dinner with Andrew, Carter, Kayden, Emily\"\n7896,2015/03/17,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n7897,2015/03/17,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n7898,2015/03/18,I really enjoyed learning a language on 2015/03/18,I really enjoyed learning a language on 2015/03/18\n7899,2015/03/18,I did biking on 2015/03/18.,I did biking on 2015/03/18.\n7900,2015/03/18,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n7901,2015/03/18,I had dinner with Andrew. I ate chinese food.,I had dinner with Andrew. I ate chinese food.\n7902,2015/03/18,\"I spent 49 talking to Avery, Piper on various topics in the late afternoon.\",\"I spent 49 talking to Avery, Piper on various topics in the late afternoon.\"\n7903,2015/03/18,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n7904,2015/03/19,I did HIIT on 2015/03/19.,I did HIIT on 2015/03/19.\n7905,2015/03/19,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n7906,2015/03/19,\"I spent 39 talking to Avery, Rylee on various topics during lunch hours.\",\"I spent 39 talking to Avery, Rylee on various topics during lunch hours.\"\n7907,2015/03/20,\"I bought some peaches, clementines, watermelons, milk, mineral water, guava juice, facial wash, paper towel, mouthwash, shaving cream online.\",\"I bought some peaches, clementines, watermelons, milk, mineral water, guava juice, facial wash, paper towel, mouthwash, shaving cream online.\"\n7908,2015/03/20,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n7909,2015/03/21,\"I had fish and chips for lunch with Carter, Kayden, Emily\",\"I had fish and chips for lunch with Carter, Kayden, Emily\"\n7910,2015/03/21,\"I talked to Avery, Lydia, Nora for 41 minutes late in the evening.\",\"I talked to Avery, Lydia, Nora for 41 minutes late in the evening.\"\n7911,2015/03/21,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n7912,2015/03/21,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n7913,2015/03/22,\"I had toast and cheese for breakfast with Rylee, Piper\",\"I had toast and cheese for breakfast with Rylee, Piper\"\n7914,2015/03/22,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n7915,2015/03/22,I had indian food for dinner with Jackson,I had indian food for dinner with Jackson\n7916,2015/03/22,\"I talked to Lydia, Nora, Rylee for 26 minutes during lunch hours.\",\"I talked to Lydia, Nora, Rylee for 26 minutes during lunch hours.\"\n7917,2015/03/22,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n7918,2015/03/23,\"On 2015/03/23, I took Harper on a date to a coffee Shop\",\"On 2015/03/23, I took Harper on a date to a coffee Shop\"\n7919,2015/03/23,I prepare a burger for lunch.,I prepare a burger for lunch.\n7920,2015/03/23,I prepare a burger for dinner.,I prepare a burger for dinner.\n7921,2015/03/23,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n7922,2015/03/23,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n7923,2015/03/24,I had chinese food for dinner with Layla,I had chinese food for dinner with Layla\n7924,2015/03/24,\"I talked to Claire, Nora, Piper for 33 minutes in the late afternoon.\",\"I talked to Claire, Nora, Piper for 33 minutes in the late afternoon.\"\n7925,2015/03/24,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n7926,2015/03/24,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n7927,2015/03/25,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n7928,2015/03/25,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n7929,2015/03/25,I talked to Kinsley for 12 minutes in the early afternoon.,I talked to Kinsley for 12 minutes in the early afternoon.\n7930,2015/03/25,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n7931,2015/03/25,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n7932,2015/03/26,\"On 2015/03/26, I took Ryan on a date to a coffee Shop\",\"On 2015/03/26, I took Ryan on a date to a coffee Shop\"\n7933,2015/03/26,\"I went grocery shopping with Avery, Piper, Nevaeh, Hazel, Claire, Rylee, Eva, Olivia, Layla, Nora. I bought some peaches, pineapples, nectarines, tea, orange juice, and toilet paper, mouth wash, shampoo\",\"I went grocery shopping with Avery, Piper, Nevaeh, Hazel, Claire, Rylee, Eva, Olivia, Layla, Nora. I bought some peaches, pineapples, nectarines, tea, orange juice, and toilet paper, mouth wash, shampoo\"\n7934,2015/03/26,I did swimming on 2015/03/26.,I did swimming on 2015/03/26.\n7935,2015/03/26,\"I had a burger for lunch with Kayden, Carter\",\"I had a burger for lunch with Kayden, Carter\"\n7936,2015/03/27,I did swimming on 2015/03/27.,I did swimming on 2015/03/27.\n7937,2015/03/27,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n7938,2015/03/28,I really enjoyed gardening on 2015/03/28,I really enjoyed gardening on 2015/03/28\n7939,2015/03/28,I did weight lifting on 2015/03/28.,I did weight lifting on 2015/03/28.\n7940,2015/03/28,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n7941,2015/03/28,\"I had a burger for lunch with Emily, Carter, Kayden\",\"I had a burger for lunch with Emily, Carter, Kayden\"\n7942,2015/03/28,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n7943,2015/03/29,\"I went grocery shopping with Emily, Carter. I bought some blueberries, guava juice, milk, chocolate milk, apple juice, and conditioner, shampoo, mouth wash, toilet paper\",\"I went grocery shopping with Emily, Carter. I bought some blueberries, guava juice, milk, chocolate milk, apple juice, and conditioner, shampoo, mouth wash, toilet paper\"\n7944,2015/03/29,I did weight lifting on 2015/03/29.,I did weight lifting on 2015/03/29.\n7945,2015/03/29,\"I had indian food for lunch with Benjamin, Jackson, Willow, Avery\",\"I had indian food for lunch with Benjamin, Jackson, Willow, Avery\"\n7946,2015/03/29,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n7947,2015/03/29,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n7948,2015/03/30,\"I was baking blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler on 2015/03/30 with Carter at my place\",\"I was baking blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler on 2015/03/30 with Carter at my place\"\n7949,2015/03/30,I did HIIT on 2015/03/30.,I did HIIT on 2015/03/30.\n7950,2015/03/30,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n7951,2015/03/31,I prepare a burger for lunch.,I prepare a burger for lunch.\n7952,2015/03/31,I prepare a burger for dinner.,I prepare a burger for dinner.\n7953,2015/03/31,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n7954,2015/04/01,I did hiking on 2015/04/01.,I did hiking on 2015/04/01.\n7955,2015/04/01,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n7956,2015/04/01,I had fish and chips for dinner with Kayden,I had fish and chips for dinner with Kayden\n7957,2015/04/01,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n7958,2015/04/02,I did weight lifting on 2015/04/02.,I did weight lifting on 2015/04/02.\n7959,2015/04/02,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n7960,2015/04/02,I had lunch. I ate steak.,I had lunch. I ate steak.\n7961,2015/04/02,\"I had sushi for dinner with Kayden, Emily\",\"I had sushi for dinner with Kayden, Emily\"\n7962,2015/04/03,I did biking on 2015/04/03.,I did biking on 2015/04/03.\n7963,2015/04/03,\"I had cereals for breakfast with Emily, Carter, Kayden, Andrew\",\"I had cereals for breakfast with Emily, Carter, Kayden, Andrew\"\n7964,2015/04/03,\"I talked to Olivia, Nevaeh, Claire for 40 minutes in the morning.\",\"I talked to Olivia, Nevaeh, Claire for 40 minutes in the morning.\"\n7965,2015/04/04,I prepare sushi for dinner.,I prepare sushi for dinner.\n7966,2015/04/04,\"I spent 30 talking to Piper, Lydia, Olivia, Nevaeh on various topics late in the evening.\",\"I spent 30 talking to Piper, Lydia, Olivia, Nevaeh on various topics late in the evening.\"\n7967,2015/04/04,I spent 35 minutes watching a movie on TV today.,I spent 35 minutes watching a movie on TV today.\n7968,2015/04/05,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n7969,2015/04/05,I ate tacos for dinner.,I ate tacos for dinner.\n7970,2015/04/05,I talked to Layla for 54 minutes in the morning.,I talked to Layla for 54 minutes in the morning.\n7971,2015/04/05,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n7972,2015/04/06,I ate sandwich for lunch.,I ate sandwich for lunch.\n7973,2015/04/06,\"I had dinner with Emily, Andrew, Carter. I ate a burger.\",\"I had dinner with Emily, Andrew, Carter. I ate a burger.\"\n7974,2015/04/06,\"I talked to Olivia, Hazel for 38 minutes in the late afternoon.\",\"I talked to Olivia, Hazel for 38 minutes in the late afternoon.\"\n7975,2015/04/07,\"I had indian food for lunch with Kayden, Carter, Andrew, Emily\",\"I had indian food for lunch with Kayden, Carter, Andrew, Emily\"\n7976,2015/04/07,\"I talked to Layla, Hazel for 47 minutes in the early evening.\",\"I talked to Layla, Hazel for 47 minutes in the early evening.\"\n7977,2015/04/07,\"I spent 33 talking to Olivia, Rylee on various topics in the early afternoon.\",\"I spent 33 talking to Olivia, Rylee on various topics in the early afternoon.\"\n7978,2015/04/08,I ate cereals for breakfast.,I ate cereals for breakfast.\n7979,2015/04/08,\"I had lunch with Kayden, Emily, Carter. I ate sandwich.\",\"I had lunch with Kayden, Emily, Carter. I ate sandwich.\"\n7980,2015/04/08,\"I spent 40 talking to Kinsley, Olivia, Eva on various topics in the morning.\",\"I spent 40 talking to Kinsley, Olivia, Eva on various topics in the morning.\"\n7981,2015/04/08,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n7982,2015/04/09,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n7983,2015/04/09,I ate sandwich for dinner.,I ate sandwich for dinner.\n7984,2015/04/09,I watched news for 29 minutes on TV today.,I watched news for 29 minutes on TV today.\n7985,2015/04/10,\"On 2015/04/10, I took Joseph on a date to a boba shop\",\"On 2015/04/10, I took Joseph on a date to a boba shop\"\n7986,2015/04/10,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n7987,2015/04/11,\"I had toast and cheese for breakfast with Carter, Andrew\",\"I had toast and cheese for breakfast with Carter, Andrew\"\n7988,2015/04/11,I ate sandwich for lunch.,I ate sandwich for lunch.\n7989,2015/04/11,\"I had a burger for dinner with Emily, Kayden, Andrew\",\"I had a burger for dinner with Emily, Kayden, Andrew\"\n7990,2015/04/11,\"I spent 19 talking to Hazel, Lydia, Nevaeh, Rylee on various topics in the early evening.\",\"I spent 19 talking to Hazel, Lydia, Nevaeh, Rylee on various topics in the early evening.\"\n7991,2015/04/11,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n7992,2015/04/12,\"I had chinese food for lunch with Carter, Kayden, Emily\",\"I had chinese food for lunch with Carter, Kayden, Emily\"\n7993,2015/04/12,I ate a burger for dinner.,I ate a burger for dinner.\n7994,2015/04/13,\"I went grocery shopping. I bought some apples, oranges, soda, guava juice, orange juice, mango juice, and toothbrush, toothpaste, mouth wash\",\"I went grocery shopping. I bought some apples, oranges, soda, guava juice, orange juice, mango juice, and toothbrush, toothpaste, mouth wash\"\n7995,2015/04/13,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n7996,2015/04/13,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n7997,2015/04/13,\"I talked to Piper, Rylee, Olivia for 20 minutes in the late afternoon.\",\"I talked to Piper, Rylee, Olivia for 20 minutes in the late afternoon.\"\n7998,2015/04/13,I talked to Claire for 46 minutes in the early evening.,I talked to Claire for 46 minutes in the early evening.\n7999,2015/04/14,\"On 2015/04/14, I took Maya on a date to a coffee Shop\",\"On 2015/04/14, I took Maya on a date to a coffee Shop\"\n8000,2015/04/14,I did weight lifting on 2015/04/14.,I did weight lifting on 2015/04/14.\n8001,2015/04/14,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n8002,2015/04/14,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n8003,2015/04/15,I did HIIT on 2015/04/15.,I did HIIT on 2015/04/15.\n8004,2015/04/15,\"I had toast and cheese for breakfast with Kayden, Carter\",\"I had toast and cheese for breakfast with Kayden, Carter\"\n8005,2015/04/15,\"I had sushi for dinner with Eva, Nora, Piper, Claire\",\"I had sushi for dinner with Eva, Nora, Piper, Claire\"\n8006,2015/04/15,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n8007,2015/04/16,\"I bought some blackberries, peaches, apple juice, paper towel from the grocery store. I saw Benjamin, Willow at the grocery store.\",\"I bought some blackberries, peaches, apple juice, paper towel from the grocery store. I saw Benjamin, Willow at the grocery store.\"\n8008,2015/04/16,I had dinner. I ate steak.,I had dinner. I ate steak.\n8009,2015/04/17,I did hiking on 2015/04/17.,I did hiking on 2015/04/17.\n8010,2015/04/17,I had chinese food for lunch with Avery,I had chinese food for lunch with Avery\n8011,2015/04/17,I had sandwich for dinner with Kayden,I had sandwich for dinner with Kayden\n8012,2015/04/17,\"I spent 39 talking to Piper, Nora, Piper on various topics in the late afternoon.\",\"I spent 39 talking to Piper, Nora, Piper on various topics in the late afternoon.\"\n8013,2015/04/17,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n8014,2015/04/18,I did biking on 2015/04/18.,I did biking on 2015/04/18.\n8015,2015/04/18,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n8016,2015/04/18,\"I had pasta for dinner with Carter, Andrew, Emily, Kayden\",\"I had pasta for dinner with Carter, Andrew, Emily, Kayden\"\n8017,2015/04/18,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n8018,2015/04/18,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n8019,2015/04/19,I did swimming on 2015/04/19.,I did swimming on 2015/04/19.\n8020,2015/04/19,\"I had cereals for breakfast with Benjamin, Willow, Jackson, Avery\",\"I had cereals for breakfast with Benjamin, Willow, Jackson, Avery\"\n8021,2015/04/19,\"I had lunch with Kayden, Emily, Carter. I ate a burger.\",\"I had lunch with Kayden, Emily, Carter. I ate a burger.\"\n8022,2015/04/19,I spent 53 talking to Avery on various topics in the late afternoon.,I spent 53 talking to Avery on various topics in the late afternoon.\n8023,2015/04/19,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n8024,2015/04/20,I did hiking on 2015/04/20.,I did hiking on 2015/04/20.\n8025,2015/04/20,I had chinese food for lunch with Carter,I had chinese food for lunch with Carter\n8026,2015/04/20,\"I talked to Rylee, Lydia, Olivia for 18 minutes late in the evening.\",\"I talked to Rylee, Lydia, Olivia for 18 minutes late in the evening.\"\n8027,2015/04/21,I did biking on 2015/04/21.,I did biking on 2015/04/21.\n8028,2015/04/21,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n8029,2015/04/21,I had lunch with Andrew. I ate pasta.,I had lunch with Andrew. I ate pasta.\n8030,2015/04/21,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n8031,2015/04/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n8032,2015/04/22,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n8033,2015/04/23,I did running on 2015/04/23.,I did running on 2015/04/23.\n8034,2015/04/23,\"I had breakfast with Andrew, Emily. I ate pancakes.\",\"I had breakfast with Andrew, Emily. I ate pancakes.\"\n8035,2015/04/23,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n8036,2015/04/23,\"I spent 34 talking to Nora, Lydia, Rylee on various topics in the late afternoon.\",\"I spent 34 talking to Nora, Lydia, Rylee on various topics in the late afternoon.\"\n8037,2015/04/23,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n8038,2015/04/24,I did biking on 2015/04/24.,I did biking on 2015/04/24.\n8039,2015/04/24,\"I had peanut-butter-jam for breakfast with Jackson, Benjamin, Avery, Willow\",\"I had peanut-butter-jam for breakfast with Jackson, Benjamin, Avery, Willow\"\n8040,2015/04/24,I prepare steak for dinner.,I prepare steak for dinner.\n8041,2015/04/24,I talked to Rylee for 37 minutes in the early evening.,I talked to Rylee for 37 minutes in the early evening.\n8042,2015/04/24,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n8043,2015/04/25,\"On 2015/04/25, I took Jackson on a date to a coffee Shop\",\"On 2015/04/25, I took Jackson on a date to a coffee Shop\"\n8044,2015/04/25,\"I bought some guava, nectarines, apples, apple juice, milk, toothbrush, toilet paper online.\",\"I bought some guava, nectarines, apples, apple juice, milk, toothbrush, toilet paper online.\"\n8045,2015/04/25,\"I had pancakes for breakfast with Andrew, Carter, Kayden, Emily\",\"I had pancakes for breakfast with Andrew, Carter, Kayden, Emily\"\n8046,2015/04/25,I spent 39 talking to Piper on various topics in the early evening.,I spent 39 talking to Piper on various topics in the early evening.\n8047,2015/04/25,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n8048,2015/04/26,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n8049,2015/04/26,\"I had lunch with Layla, Nora, Rylee, Piper, Avery. I ate steak.\",\"I had lunch with Layla, Nora, Rylee, Piper, Avery. I ate steak.\"\n8050,2015/04/26,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n8051,2015/04/26,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n8052,2015/04/27,I did hiking on 2015/04/27.,I did hiking on 2015/04/27.\n8053,2015/04/27,I prepare tacos for lunch.,I prepare tacos for lunch.\n8054,2015/04/27,I ate indian food for dinner.,I ate indian food for dinner.\n8055,2015/04/28,\"On 2015/04/28 Carter and I went to Seoul, South Korea together for 13 days \",\"On 2015/04/28 Carter and I went to Seoul, South Korea together for 13 days \"\n8056,2015/04/28,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n8057,2015/04/28,\"I had lunch with Jackson, Avery, Willow. I ate indian food.\",\"I had lunch with Jackson, Avery, Willow. I ate indian food.\"\n8058,2015/04/28,\"I talked to Claire, Lydia, Nevaeh, Olivia for 19 minutes in the early evening.\",\"I talked to Claire, Lydia, Nevaeh, Olivia for 19 minutes in the early evening.\"\n8059,2015/04/28,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n8060,2015/04/29,\"During my trip to Seoul, South Korea, I visited National Museum Of Korea on 2015/04 with Carter.\",\"During my trip to Seoul, South Korea, I visited National Museum Of Korea on 2015/04 with Carter.\"\n8061,2015/04/29,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n8062,2015/04/29,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n8063,2015/04/29,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n8064,2015/04/30,\"During my trip to Seoul, South Korea, I visited Lotte World Tower on 2015/04 with Carter.\",\"During my trip to Seoul, South Korea, I visited Lotte World Tower on 2015/04 with Carter.\"\n8065,2015/04/30,\"I ate Chinese food at Seoul Bamdokkaebi Night Market with Carter on  2015/04/30 when I was in Seoul, South Korea.\",\"I ate Chinese food at Seoul Bamdokkaebi Night Market with Carter on  2015/04/30 when I was in Seoul, South Korea.\"\n8066,2015/04/30,I ate sushi for dinner.,I ate sushi for dinner.\n8067,2015/04/30,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n8068,2015/05/01,\"During my trip to Seoul, South Korea, I visited N Seoul Tower on 2015/05 with Carter.\",\"During my trip to Seoul, South Korea, I visited N Seoul Tower on 2015/05 with Carter.\"\n8069,2015/05/01,\"I ate street food at Common Ground with Carter on  2015/05/01 when I was in Seoul, South Korea.\",\"I ate street food at Common Ground with Carter on  2015/05/01 when I was in Seoul, South Korea.\"\n8070,2015/05/01,I had peanut-butter-jam for breakfast with Carter,I had peanut-butter-jam for breakfast with Carter\n8071,2015/05/01,I prepare indian food for lunch.,I prepare indian food for lunch.\n8072,2015/05/01,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n8073,2015/05/02,\"I ate Indian food at Seoul Bamdokkaebi Night Market with Carter on  2015/05/02 when I was in Seoul, South Korea.\",\"I ate Indian food at Seoul Bamdokkaebi Night Market with Carter on  2015/05/02 when I was in Seoul, South Korea.\"\n8074,2015/05/02,I had lunch with Willow. I ate fish and chips.,I had lunch with Willow. I ate fish and chips.\n8075,2015/05/02,I talked to Hazel for 42 minutes during lunch hours.,I talked to Hazel for 42 minutes during lunch hours.\n8076,2015/05/02,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n8077,2015/05/03,I spent time gardening on 2015/05/03 with Kayden.,I spent time gardening on 2015/05/03 with Kayden.\n8078,2015/05/03,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n8079,2015/05/04,\"I ate local food at Common Ground with Carter on  2015/05/04 when I was in Seoul, South Korea.\",\"I ate local food at Common Ground with Carter on  2015/05/04 when I was in Seoul, South Korea.\"\n8080,2015/05/04,I had dinner with Andrew. I ate chinese food.,I had dinner with Andrew. I ate chinese food.\n8081,2015/05/04,I talked to Layla for 33 minutes in the morning.,I talked to Layla for 33 minutes in the morning.\n8082,2015/05/05,\"On 2015/05/05, I took Bella on a date to a coffee Shop\",\"On 2015/05/05, I took Bella on a date to a coffee Shop\"\n8083,2015/05/05,\"I had dinner with Kayden, Andrew, Carter. I ate sushi.\",\"I had dinner with Kayden, Andrew, Carter. I ate sushi.\"\n8084,2015/05/05,\"I spent 9 talking to Piper, Hazel, Olivia, Nora on various topics late in the evening.\",\"I spent 9 talking to Piper, Hazel, Olivia, Nora on various topics late in the evening.\"\n8085,2015/05/05,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n8086,2015/05/06,\"I ate local food at Seoul Bamdokkaebi Night Market with Carter on  2015/05/06 when I was in Seoul, South Korea.\",\"I ate local food at Seoul Bamdokkaebi Night Market with Carter on  2015/05/06 when I was in Seoul, South Korea.\"\n8087,2015/05/06,\"I bought some blueberries, apples, mangos, guava juice, pineapple juice, toothpaste, mouthwash from the grocery store. I saw Hazel, Piper, Eva, Lydia, Piper, Nevaeh, Avery, Layla, Rylee, Nora, Kinsley, Olivia, Claire at the grocery store.\",\"I bought some blueberries, apples, mangos, guava juice, pineapple juice, toothpaste, mouthwash from the grocery store. I saw Hazel, Piper, Eva, Lydia, Piper, Nevaeh, Avery, Layla, Rylee, Nora, Kinsley, Olivia, Claire at the grocery store.\"\n8088,2015/05/06,I ate pasta for dinner.,I ate pasta for dinner.\n8089,2015/05/06,\"I talked to Hazel, Olivia, Layla for 19 minutes in the early afternoon.\",\"I talked to Hazel, Olivia, Layla for 19 minutes in the early afternoon.\"\n8090,2015/05/06,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n8091,2015/05/07,\"I ate Italian food at Myeongdong Street Food Alley with Carter on  2015/05/07 when I was in Seoul, South Korea.\",\"I ate Italian food at Myeongdong Street Food Alley with Carter on  2015/05/07 when I was in Seoul, South Korea.\"\n8092,2015/05/07,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n8093,2015/05/07,\"I had sushi for dinner with Lydia, Eva, Rylee, Hazel, Claire, Piper, Layla, Kinsley, Piper, Avery, Nevaeh\",\"I had sushi for dinner with Lydia, Eva, Rylee, Hazel, Claire, Piper, Layla, Kinsley, Piper, Avery, Nevaeh\"\n8094,2015/05/07,\"I spent 40 talking to Nora, Olivia, Avery on various topics in the early evening.\",\"I spent 40 talking to Nora, Olivia, Avery on various topics in the early evening.\"\n8095,2015/05/07,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n8096,2015/05/07,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n8097,2015/05/08,\"I ate local food at Seoul Bamdokkaebi Night Market with Carter on  2015/05/08 when I was in Seoul, South Korea.\",\"I ate local food at Seoul Bamdokkaebi Night Market with Carter on  2015/05/08 when I was in Seoul, South Korea.\"\n8098,2015/05/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n8099,2015/05/08,I had dinner. I ate steak.,I had dinner. I ate steak.\n8100,2015/05/08,\"I talked to Rylee, Claire, Olivia for 27 minutes late in the evening.\",\"I talked to Rylee, Claire, Olivia for 27 minutes late in the evening.\"\n8101,2015/05/08,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n8102,2015/05/09,\"I went grocery shopping. I bought some clementines, nectarines, cherres, guava, soda, chocolate milk, and toilet paper, mouth wash\",\"I went grocery shopping. I bought some clementines, nectarines, cherres, guava, soda, chocolate milk, and toilet paper, mouth wash\"\n8103,2015/05/09,I did weight lifting on 2015/05/09.,I did weight lifting on 2015/05/09.\n8104,2015/05/09,\"I had breakfast with Andrew, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Carter. I ate eggs, sausages, and bread.\"\n8105,2015/05/09,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n8106,2015/05/09,\"I talked to Lydia, Eva, Hazel, Nevaeh for 53 minutes in the late afternoon.\",\"I talked to Lydia, Eva, Hazel, Nevaeh for 53 minutes in the late afternoon.\"\n8107,2015/05/09,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n8108,2015/05/09,I watched news for 15 minutes on TV today.,I watched news for 15 minutes on TV today.\n8109,2015/05/10,\"I ate Indian food at Common Ground with Carter on  2015/05/10 when I was in Seoul, South Korea.\",\"I ate Indian food at Common Ground with Carter on  2015/05/10 when I was in Seoul, South Korea.\"\n8110,2015/05/10,\"I bought some mangos, strawberries, milk, mango juice, apple juice, toothpaste, toothbrush, toilet paper from the grocery store. I saw Jackson, Benjamin at the grocery store.\",\"I bought some mangos, strawberries, milk, mango juice, apple juice, toothpaste, toothbrush, toilet paper from the grocery store. I saw Jackson, Benjamin at the grocery store.\"\n8111,2015/05/10,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n8112,2015/05/10,\"I had fish and chips for lunch with Benjamin, Avery\",\"I had fish and chips for lunch with Benjamin, Avery\"\n8113,2015/05/10,\"I spent 53 talking to Claire, Olivia, Piper on various topics in the late afternoon.\",\"I spent 53 talking to Claire, Olivia, Piper on various topics in the late afternoon.\"\n8114,2015/05/10,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n8115,2015/05/11,\"I ate Italian food at Myeongdong Street Food Alley with Carter on  2015/05/11 when I was in Seoul, South Korea.\",\"I ate Italian food at Myeongdong Street Food Alley with Carter on  2015/05/11 when I was in Seoul, South Korea.\"\n8116,2015/05/11,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n8117,2015/05/11,\"I talked to Eva, Rylee, Avery for 10 minutes during lunch hours.\",\"I talked to Eva, Rylee, Avery for 10 minutes during lunch hours.\"\n8118,2015/05/11,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n8119,2015/05/12,my parents for their and I went for an annual physical checkup at the private clinic on 2015/05/12.,my parents for their and I went for an annual physical checkup at the private clinic on 2015/05/12.\n8120,2015/05/12,I did weight lifting on 2015/05/12.,I did weight lifting on 2015/05/12.\n8121,2015/05/12,\"I had tacos for dinner with Avery, Rylee, Hazel, Layla, Piper, Lydia, Nora, Kinsley, Eva, Piper, Olivia, Nevaeh, Claire\",\"I had tacos for dinner with Avery, Rylee, Hazel, Layla, Piper, Lydia, Nora, Kinsley, Eva, Piper, Olivia, Nevaeh, Claire\"\n8122,2015/05/12,\"I spent 41 talking to Nevaeh, Hazel, Piper, Nora on various topics in the late afternoon.\",\"I spent 41 talking to Nevaeh, Hazel, Piper, Nora on various topics in the late afternoon.\"\n8123,2015/05/12,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n8124,2015/05/12,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n8125,2015/05/13,I went on a date with Jace on 2015/05/13 at a park,I went on a date with Jace on 2015/05/13 at a park\n8126,2015/05/13,\"I talked to Kinsley, Hazel, Claire for 15 minutes in the morning.\",\"I talked to Kinsley, Hazel, Claire for 15 minutes in the morning.\"\n8127,2015/05/13,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n8128,2015/05/14,\"I entertained Rylee, Olivia at my place on 2015/05/14 and cook air-fryer brats, cheesy ham chowder\",\"I entertained Rylee, Olivia at my place on 2015/05/14 and cook air-fryer brats, cheesy ham chowder\"\n8129,2015/05/14,I did running on 2015/05/14.,I did running on 2015/05/14.\n8130,2015/05/14,\"I had eggs, sausages, and bread for breakfast with Jackson, Benjamin\",\"I had eggs, sausages, and bread for breakfast with Jackson, Benjamin\"\n8131,2015/05/14,\"I spent 40 talking to Piper, Olivia on various topics during lunch hours.\",\"I spent 40 talking to Piper, Olivia on various topics during lunch hours.\"\n8132,2015/05/14,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n8133,2015/05/14,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n8134,2015/05/15,\"I went grocery shopping with Emily, Kayden, Carter. I bought some clementines, pears, cherres, mango juice, coffee, and shampoo, toothpaste, paper towel\",\"I went grocery shopping with Emily, Kayden, Carter. I bought some clementines, pears, cherres, mango juice, coffee, and shampoo, toothpaste, paper towel\"\n8135,2015/05/15,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n8136,2015/05/15,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n8137,2015/05/15,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n8138,2015/05/16,I went on a date with Carson on 2015/05/16 at a boba shop,I went on a date with Carson on 2015/05/16 at a boba shop\n8139,2015/05/16,I did hiking on 2015/05/16.,I did hiking on 2015/05/16.\n8140,2015/05/16,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n8141,2015/05/16,\"I had sandwich for lunch with Olivia, Nevaeh, Hazel, Kinsley\",\"I had sandwich for lunch with Olivia, Nevaeh, Hazel, Kinsley\"\n8142,2015/05/16,\"I talked to Rylee, Hazel, Piper for 9 minutes in the late afternoon.\",\"I talked to Rylee, Hazel, Piper for 9 minutes in the late afternoon.\"\n8143,2015/05/16,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n8144,2015/05/17,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n8145,2015/05/17,I ate steak for lunch.,I ate steak for lunch.\n8146,2015/05/17,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n8147,2015/05/18,I did biking on 2015/05/18.,I did biking on 2015/05/18.\n8148,2015/05/18,\"I had sandwich for dinner with Layla, Nora, Piper, Nevaeh, Rylee, Avery, Olivia, Claire, Hazel, Piper, Kinsley, Eva\",\"I had sandwich for dinner with Layla, Nora, Piper, Nevaeh, Rylee, Avery, Olivia, Claire, Hazel, Piper, Kinsley, Eva\"\n8149,2015/05/18,\"I spent 38 talking to Piper, Rylee, Layla on various topics in the morning.\",\"I spent 38 talking to Piper, Rylee, Layla on various topics in the morning.\"\n8150,2015/05/18,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n8151,2015/05/18,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n8152,2015/05/19,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n8153,2015/05/19,I prepare a burger for lunch.,I prepare a burger for lunch.\n8154,2015/05/19,I ate steak for dinner.,I ate steak for dinner.\n8155,2015/05/19,\"I talked to Eva, Nora, Avery, Nevaeh for 33 minutes in the late afternoon.\",\"I talked to Eva, Nora, Avery, Nevaeh for 33 minutes in the late afternoon.\"\n8156,2015/05/19,I spent 7 talking to Rylee on various topics in the early evening.,I spent 7 talking to Rylee on various topics in the early evening.\n8157,2015/05/20,\"On 2015/05/20, I took Skylar on a date to a coffee Shop\",\"On 2015/05/20, I took Skylar on a date to a coffee Shop\"\n8158,2015/05/20,\"I went grocery shopping. I bought some peaches, tea, and mouthwash\",\"I went grocery shopping. I bought some peaches, tea, and mouthwash\"\n8159,2015/05/20,\"I had pancakes for breakfast with Carter, Andrew\",\"I had pancakes for breakfast with Carter, Andrew\"\n8160,2015/05/20,\"I spent 9 talking to Kinsley, Claire, Lydia on various topics in the late afternoon.\",\"I spent 9 talking to Kinsley, Claire, Lydia on various topics in the late afternoon.\"\n8161,2015/05/20,\"I spent 35 talking to Hazel, Piper on various topics in the early evening.\",\"I spent 35 talking to Hazel, Piper on various topics in the early evening.\"\n8162,2015/05/20,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n8163,2015/05/21,I spent time working out on 2015/05/21 with Andrew.,I spent time working out on 2015/05/21 with Andrew.\n8164,2015/05/21,I did biking on 2015/05/21.,I did biking on 2015/05/21.\n8165,2015/05/21,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n8166,2015/05/21,I prepare indian food for lunch.,I prepare indian food for lunch.\n8167,2015/05/21,\"I had dinner with Kayden, Carter, Andrew, Emily. I ate a burger.\",\"I had dinner with Kayden, Carter, Andrew, Emily. I ate a burger.\"\n8168,2015/05/21,\"I spent 35 talking to Layla, Lydia, Nora, Piper on various topics late in the evening.\",\"I spent 35 talking to Layla, Lydia, Nora, Piper on various topics late in the evening.\"\n8169,2015/05/21,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n8170,2015/05/21,I watched a documentary for 35 minutes on TV today.,I watched a documentary for 35 minutes on TV today.\n8171,2015/05/22,\"I was cooking slow-cooker pork loin, cube steak and gravy, traditional meat loaf on 2015/05/22 with Nora, Piper, Hazel at my place\",\"I was cooking slow-cooker pork loin, cube steak and gravy, traditional meat loaf on 2015/05/22 with Nora, Piper, Hazel at my place\"\n8172,2015/05/22,I did swimming on 2015/05/22.,I did swimming on 2015/05/22.\n8173,2015/05/22,\"I had lunch with Andrew, Carter, Emily. I ate chinese food.\",\"I had lunch with Andrew, Carter, Emily. I ate chinese food.\"\n8174,2015/05/22,\"I had dinner with Emily, Carter, Kayden, Andrew. I ate indian food.\",\"I had dinner with Emily, Carter, Kayden, Andrew. I ate indian food.\"\n8175,2015/05/22,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n8176,2015/05/23,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n8177,2015/05/23,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n8178,2015/05/23,\"I had sushi for dinner with Olivia, Piper, Eva, Hazel, Avery, Nora, Nevaeh, Kinsley\",\"I had sushi for dinner with Olivia, Piper, Eva, Hazel, Avery, Nora, Nevaeh, Kinsley\"\n8179,2015/05/23,\"I talked to Eva, Avery, Nora, Olivia for 11 minutes during lunch hours.\",\"I talked to Eva, Avery, Nora, Olivia for 11 minutes during lunch hours.\"\n8180,2015/05/24,I had breakfast with Emily. I ate oatmeal.,I had breakfast with Emily. I ate oatmeal.\n8181,2015/05/24,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n8182,2015/05/24,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n8183,2015/05/25,\"On 2015/05/25, I took Claire on a date to a restaurant\",\"On 2015/05/25, I took Claire on a date to a restaurant\"\n8184,2015/05/25,I did swimming on 2015/05/25.,I did swimming on 2015/05/25.\n8185,2015/05/25,\"I talked to Hazel, Nevaeh for 44 minutes during lunch hours.\",\"I talked to Hazel, Nevaeh for 44 minutes during lunch hours.\"\n8186,2015/05/25,\"I spent 17 talking to Nevaeh, Lydia, Claire, Piper on various topics in the early afternoon.\",\"I spent 17 talking to Nevaeh, Lydia, Claire, Piper on various topics in the early afternoon.\"\n8187,2015/05/26,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n8188,2015/05/26,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n8189,2015/05/26,I spent 23 talking to Piper on various topics in the late afternoon.,I spent 23 talking to Piper on various topics in the late afternoon.\n8190,2015/05/26,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n8191,2015/05/27,\"I bought some clementines, strawberries, mango juice, pineapple juice, mouth wash, paper towel from the grocery store. I saw Kayden at the grocery store.\",\"I bought some clementines, strawberries, mango juice, pineapple juice, mouth wash, paper towel from the grocery store. I saw Kayden at the grocery store.\"\n8192,2015/05/27,I did hiking on 2015/05/27.,I did hiking on 2015/05/27.\n8193,2015/05/27,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n8194,2015/05/27,I ate tacos for dinner.,I ate tacos for dinner.\n8195,2015/05/27,\"I spent 34 talking to Piper, Avery on various topics late in the evening.\",\"I spent 34 talking to Piper, Avery on various topics late in the evening.\"\n8196,2015/05/27,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n8197,2015/05/27,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n8198,2015/05/28,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n8199,2015/05/28,I prepare pasta for dinner.,I prepare pasta for dinner.\n8200,2015/05/28,I talked to Olivia for 36 minutes in the late afternoon.,I talked to Olivia for 36 minutes in the late afternoon.\n8201,2015/05/28,I spent 53 minutes watching a tv series on TV today.,I spent 53 minutes watching a tv series on TV today.\n8202,2015/05/29,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n8203,2015/05/29,\"I talked to Piper, Hazel for 11 minutes in the late afternoon.\",\"I talked to Piper, Hazel for 11 minutes in the late afternoon.\"\n8204,2015/05/29,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n8205,2015/05/29,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n8206,2015/05/30,\"I had toast and cheese for breakfast with Carter, Andrew\",\"I had toast and cheese for breakfast with Carter, Andrew\"\n8207,2015/05/30,I had dinner with Benjamin. I ate fish and chips.,I had dinner with Benjamin. I ate fish and chips.\n8208,2015/05/30,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n8209,2015/05/31,\"I had lunch with Olivia, Layla, Eva, Avery, Piper, Nora, Kinsley, Rylee. I ate tacos.\",\"I had lunch with Olivia, Layla, Eva, Avery, Piper, Nora, Kinsley, Rylee. I ate tacos.\"\n8210,2015/05/31,I talked to Hazel for 41 minutes in the morning.,I talked to Hazel for 41 minutes in the morning.\n8211,2015/05/31,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n8212,2015/05/31,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n8213,2015/06/01,I did HIIT on 2015/06/01.,I did HIIT on 2015/06/01.\n8214,2015/06/01,I ate sushi for lunch.,I ate sushi for lunch.\n8215,2015/06/01,I ate a burger for dinner.,I ate a burger for dinner.\n8216,2015/06/01,I talked to Rylee for 49 minutes in the late afternoon.,I talked to Rylee for 49 minutes in the late afternoon.\n8217,2015/06/01,\"I talked to Olivia, Eva, Lydia for 52 minutes in the morning.\",\"I talked to Olivia, Eva, Lydia for 52 minutes in the morning.\"\n8218,2015/06/01,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n8219,2015/06/01,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n8220,2015/06/02,I spent some time working out on 2015/06/02.,I spent some time working out on 2015/06/02.\n8221,2015/06/02,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n8222,2015/06/02,I prepare pasta for lunch.,I prepare pasta for lunch.\n8223,2015/06/02,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n8224,2015/06/02,I spent 48 talking to Avery on various topics in the morning.,I spent 48 talking to Avery on various topics in the morning.\n8225,2015/06/02,\"I talked to Avery, Hazel, Nora for 17 minutes in the late afternoon.\",\"I talked to Avery, Hazel, Nora for 17 minutes in the late afternoon.\"\n8226,2015/06/03,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n8227,2015/06/04,I ate steak for lunch.,I ate steak for lunch.\n8228,2015/06/04,\"I talked to Avery, Lydia, Kinsley, Eva for 44 minutes in the morning.\",\"I talked to Avery, Lydia, Kinsley, Eva for 44 minutes in the morning.\"\n8229,2015/06/04,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n8230,2015/06/05,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n8231,2015/06/05,I had lunch with Emily. I ate fish and chips.,I had lunch with Emily. I ate fish and chips.\n8232,2015/06/05,\"I talked to Kinsley, Claire, Nora for 38 minutes during lunch hours.\",\"I talked to Kinsley, Claire, Nora for 38 minutes during lunch hours.\"\n8233,2015/06/05,I spent 5 talking to Nora on various topics during lunch hours.,I spent 5 talking to Nora on various topics during lunch hours.\n8234,2015/06/06,I talked to Olivia for 39 minutes in the morning.,I talked to Olivia for 39 minutes in the morning.\n8235,2015/06/06,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n8236,2015/06/07,I did swimming on 2015/06/07.,I did swimming on 2015/06/07.\n8237,2015/06/07,\"I had pasta for lunch with Andrew, Emily, Carter\",\"I had pasta for lunch with Andrew, Emily, Carter\"\n8238,2015/06/07,\"I talked to Piper, Lydia, Nora for 11 minutes in the early evening.\",\"I talked to Piper, Lydia, Nora for 11 minutes in the early evening.\"\n8239,2015/06/07,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n8240,2015/06/07,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n8241,2015/06/08,I did running on 2015/06/08.,I did running on 2015/06/08.\n8242,2015/06/08,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n8243,2015/06/08,\"I talked to Kinsley, Rylee, Layla for 38 minutes late in the evening.\",\"I talked to Kinsley, Rylee, Layla for 38 minutes late in the evening.\"\n8244,2015/06/08,\"I spent 6 talking to Rylee, Piper on various topics during lunch hours.\",\"I spent 6 talking to Rylee, Piper on various topics during lunch hours.\"\n8245,2015/06/08,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n8246,2015/06/09,I did running on 2015/06/09.,I did running on 2015/06/09.\n8247,2015/06/09,I ate indian food for dinner.,I ate indian food for dinner.\n8248,2015/06/09,\"I spent 9 talking to Piper, Nevaeh on various topics during lunch hours.\",\"I spent 9 talking to Piper, Nevaeh on various topics during lunch hours.\"\n8249,2015/06/09,\"I spent 28 talking to Olivia, Nevaeh, Claire, Avery on various topics in the early evening.\",\"I spent 28 talking to Olivia, Nevaeh, Claire, Avery on various topics in the early evening.\"\n8250,2015/06/09,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n8251,2015/06/10,I did running on 2015/06/10.,I did running on 2015/06/10.\n8252,2015/06/10,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n8253,2015/06/10,\"I had indian food for lunch with Carter, Andrew, Kayden\",\"I had indian food for lunch with Carter, Andrew, Kayden\"\n8254,2015/06/11,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n8255,2015/06/11,\"I talked to Eva, Piper, Hazel, Piper for 12 minutes in the early evening.\",\"I talked to Eva, Piper, Hazel, Piper for 12 minutes in the early evening.\"\n8256,2015/06/12,I did weight lifting on 2015/06/12.,I did weight lifting on 2015/06/12.\n8257,2015/06/12,I ate tacos for lunch.,I ate tacos for lunch.\n8258,2015/06/12,I prepare sushi for dinner.,I prepare sushi for dinner.\n8259,2015/06/12,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n8260,2015/06/12,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n8261,2015/06/13,I did HIIT on 2015/06/13.,I did HIIT on 2015/06/13.\n8262,2015/06/13,\"I had pancakes for breakfast with Benjamin, Jackson\",\"I had pancakes for breakfast with Benjamin, Jackson\"\n8263,2015/06/13,I spent 37 talking to Eva on various topics during lunch hours.,I spent 37 talking to Eva on various topics during lunch hours.\n8264,2015/06/13,I spent 53 talking to Piper on various topics in the late afternoon.,I spent 53 talking to Piper on various topics in the late afternoon.\n8265,2015/06/14,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n8266,2015/06/14,\"I had dinner with Olivia, Layla, Avery, Claire, Eva, Nevaeh, Rylee. I ate sushi.\",\"I had dinner with Olivia, Layla, Avery, Claire, Eva, Nevaeh, Rylee. I ate sushi.\"\n8267,2015/06/14,\"I spent 15 talking to Nora, Olivia on various topics late in the evening.\",\"I spent 15 talking to Nora, Olivia on various topics late in the evening.\"\n8268,2015/06/15,\"I had tacos for lunch with Emily, Kayden\",\"I had tacos for lunch with Emily, Kayden\"\n8269,2015/06/15,I spent 50 talking to Hazel on various topics in the morning.,I spent 50 talking to Hazel on various topics in the morning.\n8270,2015/06/15,I talked to Piper for 54 minutes in the early afternoon.,I talked to Piper for 54 minutes in the early afternoon.\n8271,2015/06/15,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n8272,2015/06/16,I did swimming on 2015/06/16.,I did swimming on 2015/06/16.\n8273,2015/06/16,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n8274,2015/06/16,I ate chinese food for lunch.,I ate chinese food for lunch.\n8275,2015/06/16,I prepare pasta for dinner.,I prepare pasta for dinner.\n8276,2015/06/16,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n8277,2015/06/17,I did biking on 2015/06/17.,I did biking on 2015/06/17.\n8278,2015/06/17,I ate steak for lunch.,I ate steak for lunch.\n8279,2015/06/17,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n8280,2015/06/17,\"I spent 8 talking to Lydia, Eva, Rylee, Avery on various topics in the early afternoon.\",\"I spent 8 talking to Lydia, Eva, Rylee, Avery on various topics in the early afternoon.\"\n8281,2015/06/17,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n8282,2015/06/18,I did weight lifting on 2015/06/18.,I did weight lifting on 2015/06/18.\n8283,2015/06/18,I had dinner with Emily. I ate fish and chips.,I had dinner with Emily. I ate fish and chips.\n8284,2015/06/18,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n8285,2015/06/19,\"I bought some pineapples, blackberries, watermelons, mango juice, shaving cream, body lotion, mouthwash from the grocery store. I saw Lydia, Eva, Olivia, Kinsley, Nevaeh, Rylee, Piper, Nora, Hazel, Avery, Layla, Piper, Claire at the grocery store.\",\"I bought some pineapples, blackberries, watermelons, mango juice, shaving cream, body lotion, mouthwash from the grocery store. I saw Lydia, Eva, Olivia, Kinsley, Nevaeh, Rylee, Piper, Nora, Hazel, Avery, Layla, Piper, Claire at the grocery store.\"\n8286,2015/06/19,I did hiking on 2015/06/19.,I did hiking on 2015/06/19.\n8287,2015/06/19,I had breakfast with Kayden. I ate pancakes.,I had breakfast with Kayden. I ate pancakes.\n8288,2015/06/19,\"I had tacos for lunch with Benjamin, Willow, Jackson\",\"I had tacos for lunch with Benjamin, Willow, Jackson\"\n8289,2015/06/19,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n8290,2015/06/19,I spent 14 talking to Avery on various topics in the early evening.,I spent 14 talking to Avery on various topics in the early evening.\n8291,2015/06/19,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n8292,2015/06/20,I did weight lifting on 2015/06/20.,I did weight lifting on 2015/06/20.\n8293,2015/06/20,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n8294,2015/06/20,\"I had fish and chips for lunch with Emily, Carter, Kayden\",\"I had fish and chips for lunch with Emily, Carter, Kayden\"\n8295,2015/06/20,I talked to Lydia for 37 minutes during lunch hours.,I talked to Lydia for 37 minutes during lunch hours.\n8296,2015/06/20,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n8297,2015/06/21,I did hiking on 2015/06/21.,I did hiking on 2015/06/21.\n8298,2015/06/21,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n8299,2015/06/21,I talked to Claire for 55 minutes late in the evening.,I talked to Claire for 55 minutes late in the evening.\n8300,2015/06/21,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n8301,2015/06/21,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n8302,2015/06/22,I did biking on 2015/06/22.,I did biking on 2015/06/22.\n8303,2015/06/22,\"I had sandwich for lunch with Avery, Willow, Jackson, Benjamin\",\"I had sandwich for lunch with Avery, Willow, Jackson, Benjamin\"\n8304,2015/06/22,\"I spent 33 talking to Piper, Claire, Eva, Lydia on various topics late in the evening.\",\"I spent 33 talking to Piper, Claire, Eva, Lydia on various topics late in the evening.\"\n8305,2015/06/23,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n8306,2015/06/23,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n8307,2015/06/23,I ate a burger for dinner.,I ate a burger for dinner.\n8308,2015/06/23,I spent 47 talking to Kinsley on various topics in the late afternoon.,I spent 47 talking to Kinsley on various topics in the late afternoon.\n8309,2015/06/23,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n8310,2015/06/23,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n8311,2015/06/24,\"I went grocery shopping. I bought some mandarins, nectarines, coffee, and shaving cream, mouth wash\",\"I went grocery shopping. I bought some mandarins, nectarines, coffee, and shaving cream, mouth wash\"\n8312,2015/06/24,I did weight lifting on 2015/06/24.,I did weight lifting on 2015/06/24.\n8313,2015/06/24,\"I talked to Rylee, Nevaeh for 40 minutes late in the evening.\",\"I talked to Rylee, Nevaeh for 40 minutes late in the evening.\"\n8314,2015/06/24,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n8315,2015/06/25,\"I really enjoyed cooking thai noodle salad on 2015/06/25 with Jackson, Benjamin, Willow at my place\",\"I really enjoyed cooking thai noodle salad on 2015/06/25 with Jackson, Benjamin, Willow at my place\"\n8316,2015/06/25,\"On 2015/06/25, I took Ezekiel on a date to a park\",\"On 2015/06/25, I took Ezekiel on a date to a park\"\n8317,2015/06/25,\"I went grocery shopping with Jackson, Benjamin, Willow, Avery. I bought some mandarins, nectarines, pineapples, cherres, tea, mineral water, and shampoo, mouth wash\",\"I went grocery shopping with Jackson, Benjamin, Willow, Avery. I bought some mandarins, nectarines, pineapples, cherres, tea, mineral water, and shampoo, mouth wash\"\n8318,2015/06/26,I did running on 2015/06/26.,I did running on 2015/06/26.\n8319,2015/06/26,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n8320,2015/06/26,\"I had tacos for dinner with Andrew, Carter, Emily\",\"I had tacos for dinner with Andrew, Carter, Emily\"\n8321,2015/06/26,\"I spent 16 talking to Piper, Rylee on various topics in the early afternoon.\",\"I spent 16 talking to Piper, Rylee on various topics in the early afternoon.\"\n8322,2015/06/26,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n8323,2015/06/26,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n8324,2015/06/27,I did weight lifting on 2015/06/27.,I did weight lifting on 2015/06/27.\n8325,2015/06/27,\"I had tacos for dinner with Hazel, Olivia, Claire, Nora, Eva, Piper, Layla, Piper, Avery, Lydia\",\"I had tacos for dinner with Hazel, Olivia, Claire, Nora, Eva, Piper, Layla, Piper, Avery, Lydia\"\n8326,2015/06/27,\"I spent 54 talking to Claire, Eva, Piper on various topics during lunch hours.\",\"I spent 54 talking to Claire, Eva, Piper on various topics during lunch hours.\"\n8327,2015/06/28,\"On 2015/06/28, I took Jacob on a date to a coffee Shop\",\"On 2015/06/28, I took Jacob on a date to a coffee Shop\"\n8328,2015/06/28,I did biking on 2015/06/28.,I did biking on 2015/06/28.\n8329,2015/06/28,\"I had lunch with Kayden, Emily, Carter, Andrew. I ate pasta.\",\"I had lunch with Kayden, Emily, Carter, Andrew. I ate pasta.\"\n8330,2015/06/28,\"I talked to Piper, Hazel, Rylee for 48 minutes late in the evening.\",\"I talked to Piper, Hazel, Rylee for 48 minutes late in the evening.\"\n8331,2015/06/28,\"I talked to Claire, Lydia, Hazel, Rylee for 50 minutes in the early evening.\",\"I talked to Claire, Lydia, Hazel, Rylee for 50 minutes in the early evening.\"\n8332,2015/06/28,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n8333,2015/06/29,\"I went grocery shopping with Piper, Layla, Kinsley. I bought some raspberries, apple juice, pineapple juice, guava juice, sports drinks, and toothpaste, conditioner, toothbrush, toilet paper\",\"I went grocery shopping with Piper, Layla, Kinsley. I bought some raspberries, apple juice, pineapple juice, guava juice, sports drinks, and toothpaste, conditioner, toothbrush, toilet paper\"\n8334,2015/06/29,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n8335,2015/06/29,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n8336,2015/06/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n8337,2015/06/30,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n8338,2015/07/01,I did running on 2015/07/01.,I did running on 2015/07/01.\n8339,2015/07/01,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n8340,2015/07/02,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n8341,2015/07/02,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n8342,2015/07/02,I ate a burger for dinner.,I ate a burger for dinner.\n8343,2015/07/02,I talked to Lydia for 16 minutes in the early evening.,I talked to Lydia for 16 minutes in the early evening.\n8344,2015/07/02,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n8345,2015/07/03,\"I had peanut-butter-jam for breakfast with Eva, Lydia, Kinsley, Layla, Nevaeh\",\"I had peanut-butter-jam for breakfast with Eva, Lydia, Kinsley, Layla, Nevaeh\"\n8346,2015/07/03,I had dinner with Kayden. I ate a burger.,I had dinner with Kayden. I ate a burger.\n8347,2015/07/03,\"I spent 22 talking to Hazel, Lydia, Eva, Layla on various topics in the late afternoon.\",\"I spent 22 talking to Hazel, Lydia, Eva, Layla on various topics in the late afternoon.\"\n8348,2015/07/03,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n8349,2015/07/04,I did swimming on 2015/07/04.,I did swimming on 2015/07/04.\n8350,2015/07/04,I talked to Claire for 42 minutes late in the evening.,I talked to Claire for 42 minutes late in the evening.\n8351,2015/07/05,I did running on 2015/07/05.,I did running on 2015/07/05.\n8352,2015/07/05,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n8353,2015/07/05,I ate indian food for dinner.,I ate indian food for dinner.\n8354,2015/07/05,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n8355,2015/07/06,\"I went grocery shopping. I bought some blackberries, clementines, tea, guava juice, and toilet paper, facial wash\",\"I went grocery shopping. I bought some blackberries, clementines, tea, guava juice, and toilet paper, facial wash\"\n8356,2015/07/06,I did weight lifting on 2015/07/06.,I did weight lifting on 2015/07/06.\n8357,2015/07/06,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n8358,2015/07/06,I talked to Olivia for 49 minutes during lunch hours.,I talked to Olivia for 49 minutes during lunch hours.\n8359,2015/07/07,I did hiking on 2015/07/07.,I did hiking on 2015/07/07.\n8360,2015/07/08,I ate steak for lunch.,I ate steak for lunch.\n8361,2015/07/08,\"I had a burger for dinner with Lydia, Nevaeh, Nora, Piper, Hazel, Olivia, Piper, Avery, Rylee, Kinsley, Eva\",\"I had a burger for dinner with Lydia, Nevaeh, Nora, Piper, Hazel, Olivia, Piper, Avery, Rylee, Kinsley, Eva\"\n8362,2015/07/08,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n8363,2015/07/08,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n8364,2015/07/09,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n8365,2015/07/09,\"I spent 26 talking to Piper, Eva, Hazel, Claire on various topics in the late afternoon.\",\"I spent 26 talking to Piper, Eva, Hazel, Claire on various topics in the late afternoon.\"\n8366,2015/07/09,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n8367,2015/07/09,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n8368,2015/07/10,\"I went grocery shopping with Lydia, Layla, Avery, Piper, Nora, Claire, Eva, Kinsley, Rylee, Nevaeh, Olivia, Hazel. I bought some oranges, apple juice, orange juice, pineapple juice, and facial wash, conditioner, paper towel\",\"I went grocery shopping with Lydia, Layla, Avery, Piper, Nora, Claire, Eva, Kinsley, Rylee, Nevaeh, Olivia, Hazel. I bought some oranges, apple juice, orange juice, pineapple juice, and facial wash, conditioner, paper towel\"\n8369,2015/07/10,I did swimming on 2015/07/10.,I did swimming on 2015/07/10.\n8370,2015/07/10,I prepare steak for lunch.,I prepare steak for lunch.\n8371,2015/07/10,\"I had dinner with Claire, Nora, Kinsley, Nevaeh, Piper, Rylee, Piper, Eva, Layla, Lydia, Avery, Hazel. I ate tacos.\",\"I had dinner with Claire, Nora, Kinsley, Nevaeh, Piper, Rylee, Piper, Eva, Layla, Lydia, Avery, Hazel. I ate tacos.\"\n8372,2015/07/10,\"I spent 30 talking to Piper, Rylee, Nevaeh, Olivia on various topics in the late afternoon.\",\"I spent 30 talking to Piper, Rylee, Nevaeh, Olivia on various topics in the late afternoon.\"\n8373,2015/07/10,\"I spent 41 talking to Layla, Piper on various topics in the late afternoon.\",\"I spent 41 talking to Layla, Piper on various topics in the late afternoon.\"\n8374,2015/07/10,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n8375,2015/07/10,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n8376,2015/07/11,I did swimming on 2015/07/11.,I did swimming on 2015/07/11.\n8377,2015/07/11,\"I had fish and chips for dinner with Avery, Jackson, Willow\",\"I had fish and chips for dinner with Avery, Jackson, Willow\"\n8378,2015/07/11,\"I spent 10 talking to Claire, Olivia, Avery on various topics in the early evening.\",\"I spent 10 talking to Claire, Olivia, Avery on various topics in the early evening.\"\n8379,2015/07/11,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n8380,2015/07/12,I did HIIT on 2015/07/12.,I did HIIT on 2015/07/12.\n8381,2015/07/12,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n8382,2015/07/12,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n8383,2015/07/12,I ate indian food for dinner.,I ate indian food for dinner.\n8384,2015/07/12,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n8385,2015/07/13,\"I was baking homemade toaster pastries on 2015/07/13 with Kayden, Andrew at my place\",\"I was baking homemade toaster pastries on 2015/07/13 with Kayden, Andrew at my place\"\n8386,2015/07/13,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n8387,2015/07/13,\"I had lunch with Avery, Benjamin, Willow, Jackson. I ate chinese food.\",\"I had lunch with Avery, Benjamin, Willow, Jackson. I ate chinese food.\"\n8388,2015/07/14,I did swimming on 2015/07/14.,I did swimming on 2015/07/14.\n8389,2015/07/14,I prepare indian food for lunch.,I prepare indian food for lunch.\n8390,2015/07/14,I had dinner. I ate steak.,I had dinner. I ate steak.\n8391,2015/07/14,\"I talked to Nora, Claire, Piper for 31 minutes in the early evening.\",\"I talked to Nora, Claire, Piper for 31 minutes in the early evening.\"\n8392,2015/07/14,\"I spent 54 talking to Nora, Hazel, Nevaeh, Piper on various topics during lunch hours.\",\"I spent 54 talking to Nora, Hazel, Nevaeh, Piper on various topics during lunch hours.\"\n8393,2015/07/14,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n8394,2015/07/15,I spent some time gardening on 2015/07/15.,I spent some time gardening on 2015/07/15.\n8395,2015/07/15,I did running on 2015/07/15.,I did running on 2015/07/15.\n8396,2015/07/15,I ate a burger for lunch.,I ate a burger for lunch.\n8397,2015/07/16,I did weight lifting on 2015/07/16.,I did weight lifting on 2015/07/16.\n8398,2015/07/16,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n8399,2015/07/16,\"I had tacos for lunch with Kayden, Emily\",\"I had tacos for lunch with Kayden, Emily\"\n8400,2015/07/16,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n8401,2015/07/16,\"I talked to Layla, Olivia for 36 minutes late in the evening.\",\"I talked to Layla, Olivia for 36 minutes late in the evening.\"\n8402,2015/07/16,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n8403,2015/07/16,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n8404,2015/07/17,\"I had dinner with Kayden, Carter, Emily, Andrew. I ate a burger.\",\"I had dinner with Kayden, Carter, Emily, Andrew. I ate a burger.\"\n8405,2015/07/17,I spent 27 talking to Olivia on various topics late in the evening.,I spent 27 talking to Olivia on various topics late in the evening.\n8406,2015/07/17,I watched a movie for 52 minutes on TV today.,I watched a movie for 52 minutes on TV today.\n8407,2015/07/18,I did hiking on 2015/07/18.,I did hiking on 2015/07/18.\n8408,2015/07/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n8409,2015/07/18,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n8410,2015/07/18,\"I spent 44 talking to Olivia, Avery, Eva on various topics late in the evening.\",\"I spent 44 talking to Olivia, Avery, Eva on various topics late in the evening.\"\n8411,2015/07/18,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n8412,2015/07/19,\"I had lunch with Avery, Nevaeh, Piper. I ate a burger.\",\"I had lunch with Avery, Nevaeh, Piper. I ate a burger.\"\n8413,2015/07/19,\"I spent 47 talking to Nora, Eva, Avery on various topics in the late afternoon.\",\"I spent 47 talking to Nora, Eva, Avery on various topics in the late afternoon.\"\n8414,2015/07/19,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n8415,2015/07/20,I did weight lifting on 2015/07/20.,I did weight lifting on 2015/07/20.\n8416,2015/07/20,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n8417,2015/07/20,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n8418,2015/07/20,\"I spent 44 talking to Eva, Layla on various topics during lunch hours.\",\"I spent 44 talking to Eva, Layla on various topics during lunch hours.\"\n8419,2015/07/20,I talked to Rylee for 20 minutes in the early evening.,I talked to Rylee for 20 minutes in the early evening.\n8420,2015/07/21,I did biking on 2015/07/21.,I did biking on 2015/07/21.\n8421,2015/07/21,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n8422,2015/07/22,\"On 2015/07/22, I took Ella on a date to a park\",\"On 2015/07/22, I took Ella on a date to a park\"\n8423,2015/07/22,I did biking on 2015/07/22.,I did biking on 2015/07/22.\n8424,2015/07/22,\"I had tacos for dinner with Avery, Kinsley, Claire, Rylee, Layla, Eva\",\"I had tacos for dinner with Avery, Kinsley, Claire, Rylee, Layla, Eva\"\n8425,2015/07/22,\"I talked to Claire, Olivia for 17 minutes late in the evening.\",\"I talked to Claire, Olivia for 17 minutes late in the evening.\"\n8426,2015/07/22,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n8427,2015/07/22,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n8428,2015/07/23,I did weight lifting on 2015/07/23.,I did weight lifting on 2015/07/23.\n8429,2015/07/23,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n8430,2015/07/23,\"I had lunch with Eva, Layla, Avery, Nevaeh, Claire, Rylee, Lydia, Kinsley, Piper, Olivia. I ate indian food.\",\"I had lunch with Eva, Layla, Avery, Nevaeh, Claire, Rylee, Lydia, Kinsley, Piper, Olivia. I ate indian food.\"\n8431,2015/07/23,I ate sandwich for dinner.,I ate sandwich for dinner.\n8432,2015/07/23,\"I talked to Nora, Eva for 52 minutes in the morning.\",\"I talked to Nora, Eva for 52 minutes in the morning.\"\n8433,2015/07/23,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n8434,2015/07/24,I did running on 2015/07/24.,I did running on 2015/07/24.\n8435,2015/07/24,I had toast and cheese for breakfast with Carter,I had toast and cheese for breakfast with Carter\n8436,2015/07/24,I prepare sushi for lunch.,I prepare sushi for lunch.\n8437,2015/07/25,I spent some time yoga on 2015/07/25.,I spent some time yoga on 2015/07/25.\n8438,2015/07/25,\"I went grocery shopping. I bought some pears, apricots, guava juice, pineapple juice, orange juice, coffee, and toothpaste, paper towel, toothbrush, facial wash\",\"I went grocery shopping. I bought some pears, apricots, guava juice, pineapple juice, orange juice, coffee, and toothpaste, paper towel, toothbrush, facial wash\"\n8439,2015/07/25,I did weight lifting on 2015/07/25.,I did weight lifting on 2015/07/25.\n8440,2015/07/25,\"I had cereals for breakfast with Andrew, Emily, Carter, Kayden\",\"I had cereals for breakfast with Andrew, Emily, Carter, Kayden\"\n8441,2015/07/25,I spent 23 talking to Kinsley on various topics in the early evening.,I spent 23 talking to Kinsley on various topics in the early evening.\n8442,2015/07/25,I talked to Rylee for 5 minutes in the late afternoon.,I talked to Rylee for 5 minutes in the late afternoon.\n8443,2015/07/25,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n8444,2015/07/25,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n8445,2015/07/26,I did swimming on 2015/07/26.,I did swimming on 2015/07/26.\n8446,2015/07/26,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n8447,2015/07/26,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n8448,2015/07/26,I spent 49 talking to Avery on various topics in the early evening.,I spent 49 talking to Avery on various topics in the early evening.\n8449,2015/07/26,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n8450,2015/07/27,I did biking on 2015/07/27.,I did biking on 2015/07/27.\n8451,2015/07/27,\"I had breakfast with Benjamin, Willow. I ate toast and cheese.\",\"I had breakfast with Benjamin, Willow. I ate toast and cheese.\"\n8452,2015/07/27,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n8453,2015/07/27,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n8454,2015/07/28,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n8455,2015/07/28,\"I talked to Rylee, Hazel, Piper, Claire for 27 minutes late in the evening.\",\"I talked to Rylee, Hazel, Piper, Claire for 27 minutes late in the evening.\"\n8456,2015/07/28,\"I spent 47 talking to Olivia, Piper, Piper, Lydia on various topics in the early afternoon.\",\"I spent 47 talking to Olivia, Piper, Piper, Lydia on various topics in the early afternoon.\"\n8457,2015/07/28,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n8458,2015/07/29,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n8459,2015/07/30,\"I had sandwich for dinner with Avery, Benjamin\",\"I had sandwich for dinner with Avery, Benjamin\"\n8460,2015/07/30,\"I talked to Piper, Nora, Lydia for 19 minutes late in the evening.\",\"I talked to Piper, Nora, Lydia for 19 minutes late in the evening.\"\n8461,2015/07/30,I spent 24 minutes watching a documentary on TV today.,I spent 24 minutes watching a documentary on TV today.\n8462,2015/07/31,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n8463,2015/07/31,\"I talked to Kinsley, Avery for 26 minutes in the early afternoon.\",\"I talked to Kinsley, Avery for 26 minutes in the early afternoon.\"\n8464,2015/07/31,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n8465,2015/08/01,I did HIIT on 2015/08/01.,I did HIIT on 2015/08/01.\n8466,2015/08/01,\"I had breakfast with Avery, Benjamin, Willow. I ate pancakes.\",\"I had breakfast with Avery, Benjamin, Willow. I ate pancakes.\"\n8467,2015/08/01,\"I had sandwich for lunch with Layla, Hazel, Piper, Eva, Lydia, Avery, Olivia\",\"I had sandwich for lunch with Layla, Hazel, Piper, Eva, Lydia, Avery, Olivia\"\n8468,2015/08/01,I ate pasta for dinner.,I ate pasta for dinner.\n8469,2015/08/01,\"I talked to Olivia, Nora, Rylee, Claire for 40 minutes in the morning.\",\"I talked to Olivia, Nora, Rylee, Claire for 40 minutes in the morning.\"\n8470,2015/08/01,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n8471,2015/08/02,I did running on 2015/08/02.,I did running on 2015/08/02.\n8472,2015/08/02,I spent 13 talking to Nevaeh on various topics in the early evening.,I spent 13 talking to Nevaeh on various topics in the early evening.\n8473,2015/08/02,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n8474,2015/08/03,\"I bought some pears, milk, toothbrush, mouth wash, body lotion, toothpaste from the grocery store. I saw Rylee, Olivia, Kinsley, Claire, Lydia at the grocery store.\",\"I bought some pears, milk, toothbrush, mouth wash, body lotion, toothpaste from the grocery store. I saw Rylee, Olivia, Kinsley, Claire, Lydia at the grocery store.\"\n8475,2015/08/03,\"I had fish and chips for lunch with Kayden, Emily, Andrew\",\"I had fish and chips for lunch with Kayden, Emily, Andrew\"\n8476,2015/08/03,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n8477,2015/08/04,I went for an annual physical checkup on 2015/08/04 at the university hospital.,I went for an annual physical checkup on 2015/08/04 at the university hospital.\n8478,2015/08/04,I really enjoyed meditation on 2015/08/04,I really enjoyed meditation on 2015/08/04\n8479,2015/08/04,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n8480,2015/08/04,I ate tacos for lunch.,I ate tacos for lunch.\n8481,2015/08/04,I prepare steak for dinner.,I prepare steak for dinner.\n8482,2015/08/04,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n8483,2015/08/04,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n8484,2015/08/05,I did weight lifting on 2015/08/05.,I did weight lifting on 2015/08/05.\n8485,2015/08/05,\"I had oatmeal for breakfast with Emily, Andrew\",\"I had oatmeal for breakfast with Emily, Andrew\"\n8486,2015/08/05,\"I had tacos for lunch with Piper, Olivia, Eva, Kinsley, Rylee, Hazel, Lydia, Avery, Claire\",\"I had tacos for lunch with Piper, Olivia, Eva, Kinsley, Rylee, Hazel, Lydia, Avery, Claire\"\n8487,2015/08/06,I did hiking on 2015/08/06.,I did hiking on 2015/08/06.\n8488,2015/08/06,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n8489,2015/08/06,\"I had sushi for lunch with Kayden, Carter, Andrew, Emily\",\"I had sushi for lunch with Kayden, Carter, Andrew, Emily\"\n8490,2015/08/06,\"I talked to Piper, Rylee, Piper, Avery for 21 minutes late in the evening.\",\"I talked to Piper, Rylee, Piper, Avery for 21 minutes late in the evening.\"\n8491,2015/08/06,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n8492,2015/08/06,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n8493,2015/08/07,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n8494,2015/08/07,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n8495,2015/08/07,\"I spent 12 talking to Nora, Layla on various topics during lunch hours.\",\"I spent 12 talking to Nora, Layla on various topics during lunch hours.\"\n8496,2015/08/07,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n8497,2015/08/08,\"I bought some apricots, mandarins, strawberries, nectarines, pineapple juice, coffee, mineral water, toothpaste from the grocery store. I saw Jackson, Benjamin, Willow at the grocery store.\",\"I bought some apricots, mandarins, strawberries, nectarines, pineapple juice, coffee, mineral water, toothpaste from the grocery store. I saw Jackson, Benjamin, Willow at the grocery store.\"\n8498,2015/08/08,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n8499,2015/08/09,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n8500,2015/08/09,I ate steak for dinner.,I ate steak for dinner.\n8501,2015/08/09,\"I talked to Avery, Eva, Lydia, Layla for 11 minutes in the morning.\",\"I talked to Avery, Eva, Lydia, Layla for 11 minutes in the morning.\"\n8502,2015/08/09,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n8503,2015/08/10,I did hiking on 2015/08/10.,I did hiking on 2015/08/10.\n8504,2015/08/10,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n8505,2015/08/11,\"I went grocery shopping. I bought some bananas, apple juice, milk, pineapple juice, soda, and mouthwash, facial wash\",\"I went grocery shopping. I bought some bananas, apple juice, milk, pineapple juice, soda, and mouthwash, facial wash\"\n8506,2015/08/11,I did weight lifting on 2015/08/11.,I did weight lifting on 2015/08/11.\n8507,2015/08/11,\"I had lunch with Kayden, Andrew, Carter. I ate tacos.\",\"I had lunch with Kayden, Andrew, Carter. I ate tacos.\"\n8508,2015/08/11,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n8509,2015/08/11,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n8510,2015/08/12,I did swimming on 2015/08/12.,I did swimming on 2015/08/12.\n8511,2015/08/12,\"I had toast and cheese for breakfast with Claire, Avery, Eva\",\"I had toast and cheese for breakfast with Claire, Avery, Eva\"\n8512,2015/08/12,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n8513,2015/08/12,\"I spent 22 talking to Avery, Kinsley, Hazel, Lydia on various topics in the morning.\",\"I spent 22 talking to Avery, Kinsley, Hazel, Lydia on various topics in the morning.\"\n8514,2015/08/13,\"I went grocery shopping. I bought some raspberries, sports drinks, guava juice, coffee, and facial wash, paper towel\",\"I went grocery shopping. I bought some raspberries, sports drinks, guava juice, coffee, and facial wash, paper towel\"\n8515,2015/08/13,\"I had breakfast with Andrew, Carter, Emily. I ate pancakes.\",\"I had breakfast with Andrew, Carter, Emily. I ate pancakes.\"\n8516,2015/08/13,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n8517,2015/08/13,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n8518,2015/08/13,I talked to Claire for 35 minutes late in the evening.,I talked to Claire for 35 minutes late in the evening.\n8519,2015/08/13,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n8520,2015/08/14,I spent time learning a language on 2015/08/14 with Andrew.,I spent time learning a language on 2015/08/14 with Andrew.\n8521,2015/08/14,I had lunch. I ate steak.,I had lunch. I ate steak.\n8522,2015/08/14,\"I talked to Lydia, Layla, Rylee for 16 minutes in the early afternoon.\",\"I talked to Lydia, Layla, Rylee for 16 minutes in the early afternoon.\"\n8523,2015/08/15,\"I had breakfast with Piper, Avery, Nora, Claire, Rylee, Olivia. I ate oatmeal.\",\"I had breakfast with Piper, Avery, Nora, Claire, Rylee, Olivia. I ate oatmeal.\"\n8524,2015/08/15,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n8525,2015/08/15,\"I had sandwich for dinner with Kayden, Andrew, Carter\",\"I had sandwich for dinner with Kayden, Andrew, Carter\"\n8526,2015/08/15,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n8527,2015/08/15,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n8528,2015/08/16,\"I bought some oranges, bananas, peaches, pears, chocolate milk, pineapple juice, sports drinks, mouthwash, paper towel online.\",\"I bought some oranges, bananas, peaches, pears, chocolate milk, pineapple juice, sports drinks, mouthwash, paper towel online.\"\n8529,2015/08/16,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n8530,2015/08/16,\"I spent 51 talking to Layla, Kinsley, Nevaeh on various topics in the early evening.\",\"I spent 51 talking to Layla, Kinsley, Nevaeh on various topics in the early evening.\"\n8531,2015/08/16,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n8532,2015/08/17,I did weight lifting on 2015/08/17.,I did weight lifting on 2015/08/17.\n8533,2015/08/17,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n8534,2015/08/17,\"I had fish and chips for lunch with Andrew, Kayden, Emily\",\"I had fish and chips for lunch with Andrew, Kayden, Emily\"\n8535,2015/08/17,\"I talked to Eva, Olivia for 5 minutes in the early afternoon.\",\"I talked to Eva, Olivia for 5 minutes in the early afternoon.\"\n8536,2015/08/17,I watched news for 40 minutes on TV today.,I watched news for 40 minutes on TV today.\n8537,2015/08/18,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n8538,2015/08/18,I ate indian food for lunch.,I ate indian food for lunch.\n8539,2015/08/18,\"I spent 53 talking to Lydia, Piper on various topics in the early evening.\",\"I spent 53 talking to Lydia, Piper on various topics in the early evening.\"\n8540,2015/08/18,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n8541,2015/08/19,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n8542,2015/08/19,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n8543,2015/08/19,\"I had sushi for dinner with Andrew, Carter\",\"I had sushi for dinner with Andrew, Carter\"\n8544,2015/08/19,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n8545,2015/08/20,\"I had toast and cheese for breakfast with Benjamin, Avery, Jackson\",\"I had toast and cheese for breakfast with Benjamin, Avery, Jackson\"\n8546,2015/08/20,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n8547,2015/08/20,\"I had tacos for dinner with Piper, Avery, Olivia, Kinsley, Hazel, Rylee, Nevaeh, Layla, Eva, Nora, Piper\",\"I had tacos for dinner with Piper, Avery, Olivia, Kinsley, Hazel, Rylee, Nevaeh, Layla, Eva, Nora, Piper\"\n8548,2015/08/20,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n8549,2015/08/21,\"On 2015/08/21, I took Lucy on a date to a coffee Shop\",\"On 2015/08/21, I took Lucy on a date to a coffee Shop\"\n8550,2015/08/21,I did running on 2015/08/21.,I did running on 2015/08/21.\n8551,2015/08/21,I had steak for lunch with Kayden,I had steak for lunch with Kayden\n8552,2015/08/21,\"I spent 46 talking to Piper, Lydia, Nevaeh on various topics during lunch hours.\",\"I spent 46 talking to Piper, Lydia, Nevaeh on various topics during lunch hours.\"\n8553,2015/08/21,\"I talked to Nevaeh, Hazel, Eva, Piper for 15 minutes in the morning.\",\"I talked to Nevaeh, Hazel, Eva, Piper for 15 minutes in the morning.\"\n8554,2015/08/21,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n8555,2015/08/22,\"I had peanut-butter-jam for breakfast with Emily, Andrew\",\"I had peanut-butter-jam for breakfast with Emily, Andrew\"\n8556,2015/08/22,I spent 14 talking to Claire on various topics in the late afternoon.,I spent 14 talking to Claire on various topics in the late afternoon.\n8557,2015/08/23,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n8558,2015/08/23,I ate sandwich for lunch.,I ate sandwich for lunch.\n8559,2015/08/23,\"I talked to Layla, Nora, Piper for 54 minutes during lunch hours.\",\"I talked to Layla, Nora, Piper for 54 minutes during lunch hours.\"\n8560,2015/08/24,I did running on 2015/08/24.,I did running on 2015/08/24.\n8561,2015/08/24,\"I had lunch with Avery, Benjamin, Willow. I ate steak.\",\"I had lunch with Avery, Benjamin, Willow. I ate steak.\"\n8562,2015/08/24,I spent 25 talking to Avery on various topics in the late afternoon.,I spent 25 talking to Avery on various topics in the late afternoon.\n8563,2015/08/24,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n8564,2015/08/24,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n8565,2015/08/25,\"I went grocery shopping. I bought some guava, bananas, mandarins, raspberries, mango juice, and paper towel, mouth wash, conditioner, shampoo\",\"I went grocery shopping. I bought some guava, bananas, mandarins, raspberries, mango juice, and paper towel, mouth wash, conditioner, shampoo\"\n8566,2015/08/25,I did running on 2015/08/25.,I did running on 2015/08/25.\n8567,2015/08/25,\"I had fish and chips for lunch with Piper, Lydia, Claire, Nevaeh\",\"I had fish and chips for lunch with Piper, Lydia, Claire, Nevaeh\"\n8568,2015/08/25,\"I spent 45 talking to Eva, Nevaeh, Hazel, Piper on various topics late in the evening.\",\"I spent 45 talking to Eva, Nevaeh, Hazel, Piper on various topics late in the evening.\"\n8569,2015/08/25,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n8570,2015/08/26,I did hiking on 2015/08/26.,I did hiking on 2015/08/26.\n8571,2015/08/26,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n8572,2015/08/26,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n8573,2015/08/26,\"I talked to Eva, Piper for 18 minutes late in the evening.\",\"I talked to Eva, Piper for 18 minutes late in the evening.\"\n8574,2015/08/26,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n8575,2015/08/26,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n8576,2015/08/27,\"I went grocery shopping with Piper, Piper, Rylee. I bought some blueberries, guava juice, mineral water, sports drinks, and toothpaste\",\"I went grocery shopping with Piper, Piper, Rylee. I bought some blueberries, guava juice, mineral water, sports drinks, and toothpaste\"\n8577,2015/08/27,I did hiking on 2015/08/27.,I did hiking on 2015/08/27.\n8578,2015/08/27,\"I had eggs, sausages, and bread for breakfast with Eva, Rylee, Lydia, Nevaeh, Piper, Claire, Avery, Piper, Nora, Hazel, Layla, Olivia, Kinsley\",\"I had eggs, sausages, and bread for breakfast with Eva, Rylee, Lydia, Nevaeh, Piper, Claire, Avery, Piper, Nora, Hazel, Layla, Olivia, Kinsley\"\n8579,2015/08/27,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n8580,2015/08/27,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n8581,2015/08/28,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n8582,2015/08/28,\"I talked to Kinsley, Nora for 7 minutes during lunch hours.\",\"I talked to Kinsley, Nora for 7 minutes during lunch hours.\"\n8583,2015/08/28,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n8584,2015/08/28,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n8585,2015/08/29,\"I spent 6 talking to Eva, Nora on various topics in the late afternoon.\",\"I spent 6 talking to Eva, Nora on various topics in the late afternoon.\"\n8586,2015/08/29,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n8587,2015/08/29,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n8588,2015/08/30,I did biking on 2015/08/30.,I did biking on 2015/08/30.\n8589,2015/08/30,\"I spent 5 talking to Hazel, Eva, Kinsley, Avery on various topics in the morning.\",\"I spent 5 talking to Hazel, Eva, Kinsley, Avery on various topics in the morning.\"\n8590,2015/08/30,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n8591,2015/08/31,I did HIIT on 2015/08/31.,I did HIIT on 2015/08/31.\n8592,2015/08/31,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n8593,2015/08/31,I spent 52 talking to Olivia on various topics late in the evening.,I spent 52 talking to Olivia on various topics late in the evening.\n8594,2015/08/31,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n8595,2015/08/31,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n8596,2015/09/01,\"I had lunch with Kayden, Andrew. I ate fish and chips.\",\"I had lunch with Kayden, Andrew. I ate fish and chips.\"\n8597,2015/09/01,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n8598,2015/09/02,\"I went grocery shopping with Kayden, Andrew, Emily. I bought some apricots, watermelons, bananas, coffee, pineapple juice, mango juice, and shaving cream, mouth wash, toilet paper\",\"I went grocery shopping with Kayden, Andrew, Emily. I bought some apricots, watermelons, bananas, coffee, pineapple juice, mango juice, and shaving cream, mouth wash, toilet paper\"\n8599,2015/09/02,\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter, Emily\",\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter, Emily\"\n8600,2015/09/02,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n8601,2015/09/02,\"I spent 28 talking to Layla, Avery, Nora on various topics during lunch hours.\",\"I spent 28 talking to Layla, Avery, Nora on various topics during lunch hours.\"\n8602,2015/09/02,I talked to Nevaeh for 45 minutes in the morning.,I talked to Nevaeh for 45 minutes in the morning.\n8603,2015/09/03,\"I had breakfast with Nora, Rylee, Piper, Claire. I ate cereals.\",\"I had breakfast with Nora, Rylee, Piper, Claire. I ate cereals.\"\n8604,2015/09/03,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n8605,2015/09/03,I talked to Lydia for 34 minutes late in the evening.,I talked to Lydia for 34 minutes late in the evening.\n8606,2015/09/03,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n8607,2015/09/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n8608,2015/09/04,I ate pasta for dinner.,I ate pasta for dinner.\n8609,2015/09/05,I did HIIT on 2015/09/05.,I did HIIT on 2015/09/05.\n8610,2015/09/05,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n8611,2015/09/05,I had sandwich for lunch with Emily,I had sandwich for lunch with Emily\n8612,2015/09/05,I prepare steak for dinner.,I prepare steak for dinner.\n8613,2015/09/05,\"I spent 49 talking to Lydia, Layla, Nora, Piper on various topics during lunch hours.\",\"I spent 49 talking to Lydia, Layla, Nora, Piper on various topics during lunch hours.\"\n8614,2015/09/05,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n8615,2015/09/05,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n8616,2015/09/06,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n8617,2015/09/06,I ate sandwich for dinner.,I ate sandwich for dinner.\n8618,2015/09/06,I talked to Nevaeh for 34 minutes during lunch hours.,I talked to Nevaeh for 34 minutes during lunch hours.\n8619,2015/09/06,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n8620,2015/09/07,I entertained Jackson at my place on 2015/09/07 and cook split pea soup with ham & jalapeno,I entertained Jackson at my place on 2015/09/07 and cook split pea soup with ham & jalapeno\n8621,2015/09/07,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n8622,2015/09/07,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n8623,2015/09/07,I spent 53 talking to Hazel on various topics during lunch hours.,I spent 53 talking to Hazel on various topics during lunch hours.\n8624,2015/09/07,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n8625,2015/09/07,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n8626,2015/09/08,my parents for their and I went for an annual dental cleaning and checkup at the university hospital on 2015/09/08.,my parents for their and I went for an annual dental cleaning and checkup at the university hospital on 2015/09/08.\n8627,2015/09/08,I did biking on 2015/09/08.,I did biking on 2015/09/08.\n8628,2015/09/08,\"I had dinner with Emily, Carter, Kayden. I ate steak.\",\"I had dinner with Emily, Carter, Kayden. I ate steak.\"\n8629,2015/09/09,I really enjoyed working out on 2015/09/09,I really enjoyed working out on 2015/09/09\n8630,2015/09/09,\"I had breakfast with Nevaeh, Piper, Lydia, Olivia, Claire, Avery, Layla. I ate toast and cheese.\",\"I had breakfast with Nevaeh, Piper, Lydia, Olivia, Claire, Avery, Layla. I ate toast and cheese.\"\n8631,2015/09/09,\"I had indian food for lunch with Rylee, Lydia, Piper, Avery, Eva, Layla, Olivia, Nora, Hazel, Claire, Piper, Kinsley, Nevaeh\",\"I had indian food for lunch with Rylee, Lydia, Piper, Avery, Eva, Layla, Olivia, Nora, Hazel, Claire, Piper, Kinsley, Nevaeh\"\n8632,2015/09/09,I had dinner with Kayden. I ate a burger.,I had dinner with Kayden. I ate a burger.\n8633,2015/09/09,\"I talked to Lydia, Eva, Kinsley for 48 minutes in the early evening.\",\"I talked to Lydia, Eva, Kinsley for 48 minutes in the early evening.\"\n8634,2015/09/09,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n8635,2015/09/09,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n8636,2015/09/10,I did running on 2015/09/10.,I did running on 2015/09/10.\n8637,2015/09/10,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n8638,2015/09/10,I ate tacos for lunch.,I ate tacos for lunch.\n8639,2015/09/10,I ate tacos for dinner.,I ate tacos for dinner.\n8640,2015/09/10,I talked to Eva for 54 minutes late in the evening.,I talked to Eva for 54 minutes late in the evening.\n8641,2015/09/10,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n8642,2015/09/11,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n8643,2015/09/11,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n8644,2015/09/11,I spent 22 minutes watching a movie on TV today.,I spent 22 minutes watching a movie on TV today.\n8645,2015/09/12,I did swimming on 2015/09/12.,I did swimming on 2015/09/12.\n8646,2015/09/12,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n8647,2015/09/12,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n8648,2015/09/12,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n8649,2015/09/12,\"I talked to Kinsley, Rylee for 41 minutes in the early afternoon.\",\"I talked to Kinsley, Rylee for 41 minutes in the early afternoon.\"\n8650,2015/09/12,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n8651,2015/09/13,I went on a date with Easton on 2015/09/13 at a restaurant,I went on a date with Easton on 2015/09/13 at a restaurant\n8652,2015/09/13,\"I went grocery shopping with Kayden, Emily, Andrew. I bought some apricots, guava, raspberries, guava juice, coffee, and toothpaste, body lotion\",\"I went grocery shopping with Kayden, Emily, Andrew. I bought some apricots, guava, raspberries, guava juice, coffee, and toothpaste, body lotion\"\n8653,2015/09/13,\"I spent 46 talking to Nevaeh, Rylee, Piper on various topics in the early afternoon.\",\"I spent 46 talking to Nevaeh, Rylee, Piper on various topics in the early afternoon.\"\n8654,2015/09/14,I did swimming on 2015/09/14.,I did swimming on 2015/09/14.\n8655,2015/09/14,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n8656,2015/09/14,I spent 19 talking to Lydia on various topics late in the evening.,I spent 19 talking to Lydia on various topics late in the evening.\n8657,2015/09/14,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n8658,2015/09/15,\"I spent time yoga on 2015/09/15 with Rylee, Hazel, Piper.\",\"I spent time yoga on 2015/09/15 with Rylee, Hazel, Piper.\"\n8659,2015/09/15,\"I had steak for lunch with Eva, Lydia, Kinsley, Layla, Piper, Piper, Nevaeh, Olivia, Rylee, Nora\",\"I had steak for lunch with Eva, Lydia, Kinsley, Layla, Piper, Piper, Nevaeh, Olivia, Rylee, Nora\"\n8660,2015/09/15,I spent 7 talking to Nora on various topics in the early evening.,I spent 7 talking to Nora on various topics in the early evening.\n8661,2015/09/15,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n8662,2015/09/16,I did swimming on 2015/09/16.,I did swimming on 2015/09/16.\n8663,2015/09/16,\"I had breakfast with Carter, Emily. I ate pancakes.\",\"I had breakfast with Carter, Emily. I ate pancakes.\"\n8664,2015/09/16,\"I talked to Nora, Nevaeh for 26 minutes in the early evening.\",\"I talked to Nora, Nevaeh for 26 minutes in the early evening.\"\n8665,2015/09/16,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n8666,2015/09/17,I prepare a burger for dinner.,I prepare a burger for dinner.\n8667,2015/09/17,\"I spent 54 talking to Eva, Avery, Piper on various topics late in the evening.\",\"I spent 54 talking to Eva, Avery, Piper on various topics late in the evening.\"\n8668,2015/09/17,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n8669,2015/09/18,I did swimming on 2015/09/18.,I did swimming on 2015/09/18.\n8670,2015/09/18,I ate indian food for lunch.,I ate indian food for lunch.\n8671,2015/09/18,\"I spent 44 talking to Hazel, Piper, Nora, Rylee on various topics in the early afternoon.\",\"I spent 44 talking to Hazel, Piper, Nora, Rylee on various topics in the early afternoon.\"\n8672,2015/09/18,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n8673,2015/09/18,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n8674,2015/09/19,I did weight lifting on 2015/09/19.,I did weight lifting on 2015/09/19.\n8675,2015/09/19,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n8676,2015/09/19,I had indian food for lunch with Emily,I had indian food for lunch with Emily\n8677,2015/09/19,\"I had dinner with Kayden, Emily, Carter. I ate fish and chips.\",\"I had dinner with Kayden, Emily, Carter. I ate fish and chips.\"\n8678,2015/09/19,I spent 39 talking to Lydia on various topics in the early afternoon.,I spent 39 talking to Lydia on various topics in the early afternoon.\n8679,2015/09/19,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n8680,2015/09/19,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n8681,2015/09/20,I went on a date with Luca on 2015/09/20 at a park,I went on a date with Luca on 2015/09/20 at a park\n8682,2015/09/20,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n8683,2015/09/20,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n8684,2015/09/21,I did weight lifting on 2015/09/21.,I did weight lifting on 2015/09/21.\n8685,2015/09/21,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n8686,2015/09/21,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n8687,2015/09/21,I prepare tacos for dinner.,I prepare tacos for dinner.\n8688,2015/09/21,\"I spent 30 talking to Kinsley, Nevaeh on various topics during lunch hours.\",\"I spent 30 talking to Kinsley, Nevaeh on various topics during lunch hours.\"\n8689,2015/09/21,I spent 38 minutes watching a movie on TV today.,I spent 38 minutes watching a movie on TV today.\n8690,2015/09/22,\"I spent 42 talking to Eva, Avery, Piper, Lydia on various topics late in the evening.\",\"I spent 42 talking to Eva, Avery, Piper, Lydia on various topics late in the evening.\"\n8691,2015/09/22,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n8692,2015/09/23,I did HIIT on 2015/09/23.,I did HIIT on 2015/09/23.\n8693,2015/09/23,I had fish and chips for lunch with Kayden,I had fish and chips for lunch with Kayden\n8694,2015/09/23,I ate pasta for dinner.,I ate pasta for dinner.\n8695,2015/09/23,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n8696,2015/09/24,\"I went grocery shopping with Nevaeh, Claire, Lydia, Layla. I bought some guava, blackberries, apples, raspberries, coffee, sports drinks, and toothbrush\",\"I went grocery shopping with Nevaeh, Claire, Lydia, Layla. I bought some guava, blackberries, apples, raspberries, coffee, sports drinks, and toothbrush\"\n8697,2015/09/24,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n8698,2015/09/24,\"I had pasta for dinner with Nevaeh, Claire\",\"I had pasta for dinner with Nevaeh, Claire\"\n8699,2015/09/24,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n8700,2015/09/26,I did swimming on 2015/09/26.,I did swimming on 2015/09/26.\n8701,2015/09/26,\"I had dinner with Kinsley, Olivia, Layla. I ate tacos.\",\"I had dinner with Kinsley, Olivia, Layla. I ate tacos.\"\n8702,2015/09/26,\"I talked to Olivia, Kinsley, Claire, Nevaeh for 47 minutes in the early evening.\",\"I talked to Olivia, Kinsley, Claire, Nevaeh for 47 minutes in the early evening.\"\n8703,2015/09/27,\"I was cooking au gratin peas and potatoes, split pea soup with ham & jalapeno, sushi on 2015/09/27 with Avery, Kinsley, Piper at my place\",\"I was cooking au gratin peas and potatoes, split pea soup with ham & jalapeno, sushi on 2015/09/27 with Avery, Kinsley, Piper at my place\"\n8704,2015/09/27,I did HIIT on 2015/09/27.,I did HIIT on 2015/09/27.\n8705,2015/09/27,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n8706,2015/09/27,\"I had lunch with Benjamin, Jackson, Avery. I ate steak.\",\"I had lunch with Benjamin, Jackson, Avery. I ate steak.\"\n8707,2015/09/27,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n8708,2015/09/27,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n8709,2015/09/28,I went on a date with Nathan on 2015/09/28 at a boba shop,I went on a date with Nathan on 2015/09/28 at a boba shop\n8710,2015/09/28,I did swimming on 2015/09/28.,I did swimming on 2015/09/28.\n8711,2015/09/28,I prepare indian food for lunch.,I prepare indian food for lunch.\n8712,2015/09/28,I prepare pasta for dinner.,I prepare pasta for dinner.\n8713,2015/09/28,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n8714,2015/09/29,I ate sandwich for dinner.,I ate sandwich for dinner.\n8715,2015/09/29,\"I spent 24 talking to Nevaeh, Lydia, Nora on various topics in the late afternoon.\",\"I spent 24 talking to Nevaeh, Lydia, Nora on various topics in the late afternoon.\"\n8716,2015/09/29,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n8717,2015/09/29,I watched a tv series for 33 minutes on TV today.,I watched a tv series for 33 minutes on TV today.\n8718,2015/09/30,I did biking on 2015/09/30.,I did biking on 2015/09/30.\n8719,2015/09/30,I ate steak for lunch.,I ate steak for lunch.\n8720,2015/09/30,\"I talked to Piper, Piper, Lydia, Nevaeh for 46 minutes during lunch hours.\",\"I talked to Piper, Piper, Lydia, Nevaeh for 46 minutes during lunch hours.\"\n8721,2015/10/01,\"I bought some nectarines, clementines, cherres, pears, sports drinks, toilet paper, body lotion online.\",\"I bought some nectarines, clementines, cherres, pears, sports drinks, toilet paper, body lotion online.\"\n8722,2015/10/01,I did hiking on 2015/10/01.,I did hiking on 2015/10/01.\n8723,2015/10/01,\"I had cereals for breakfast with Emily, Kayden, Carter, Andrew\",\"I had cereals for breakfast with Emily, Kayden, Carter, Andrew\"\n8724,2015/10/02,I had sushi for lunch with Willow,I had sushi for lunch with Willow\n8725,2015/10/02,I ate tacos for dinner.,I ate tacos for dinner.\n8726,2015/10/02,\"I spent 37 talking to Kinsley, Avery, Nora on various topics in the early evening.\",\"I spent 37 talking to Kinsley, Avery, Nora on various topics in the early evening.\"\n8727,2015/10/03,\"On 2015/10/03, I took Anna on a date to a boba shop\",\"On 2015/10/03, I took Anna on a date to a boba shop\"\n8728,2015/10/03,I really enjoyed meditation on 2015/10/03,I really enjoyed meditation on 2015/10/03\n8729,2015/10/03,I did weight lifting on 2015/10/03.,I did weight lifting on 2015/10/03.\n8730,2015/10/04,I did HIIT on 2015/10/04.,I did HIIT on 2015/10/04.\n8731,2015/10/04,I ate a burger for lunch.,I ate a burger for lunch.\n8732,2015/10/04,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n8733,2015/10/05,I did HIIT on 2015/10/05.,I did HIIT on 2015/10/05.\n8734,2015/10/05,I had oatmeal for breakfast with Emily,I had oatmeal for breakfast with Emily\n8735,2015/10/05,\"I talked to Rylee, Kinsley, Piper for 23 minutes in the early evening.\",\"I talked to Rylee, Kinsley, Piper for 23 minutes in the early evening.\"\n8736,2015/10/05,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n8737,2015/10/05,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n8738,2015/10/06,\"I spent time meditation on 2015/10/06 with Carter, Emily, Kayden.\",\"I spent time meditation on 2015/10/06 with Carter, Emily, Kayden.\"\n8739,2015/10/06,I ate indian food for lunch.,I ate indian food for lunch.\n8740,2015/10/06,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n8741,2015/10/07,\"I bought some blackberries, mangos, sports drinks, orange juice, shaving cream online.\",\"I bought some blackberries, mangos, sports drinks, orange juice, shaving cream online.\"\n8742,2015/10/07,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n8743,2015/10/07,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n8744,2015/10/07,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n8745,2015/10/08,I did running on 2015/10/08.,I did running on 2015/10/08.\n8746,2015/10/08,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n8747,2015/10/08,I talked to Olivia for 45 minutes late in the evening.,I talked to Olivia for 45 minutes late in the evening.\n8748,2015/10/08,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n8749,2015/10/08,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n8750,2015/10/09,I did weight lifting on 2015/10/09.,I did weight lifting on 2015/10/09.\n8751,2015/10/09,\"I spent 49 talking to Olivia, Piper on various topics in the late afternoon.\",\"I spent 49 talking to Olivia, Piper on various topics in the late afternoon.\"\n8752,2015/10/10,\"I really enjoyed cooking crockpot spareribs, chicken cordon bleu skillet on 2015/10/10 with Willow, Jackson, Avery at my place\",\"I really enjoyed cooking crockpot spareribs, chicken cordon bleu skillet on 2015/10/10 with Willow, Jackson, Avery at my place\"\n8753,2015/10/10,\"I went grocery shopping with Andrew, Kayden. I bought some nectarines, strawberries, watermelons, apples, coffee, and shaving cream, body lotion\",\"I went grocery shopping with Andrew, Kayden. I bought some nectarines, strawberries, watermelons, apples, coffee, and shaving cream, body lotion\"\n8754,2015/10/10,\"I had lunch with Andrew, Kayden, Carter. I ate tacos.\",\"I had lunch with Andrew, Kayden, Carter. I ate tacos.\"\n8755,2015/10/10,\"I talked to Claire, Layla, Rylee, Piper for 6 minutes in the early afternoon.\",\"I talked to Claire, Layla, Rylee, Piper for 6 minutes in the early afternoon.\"\n8756,2015/10/10,\"I talked to Avery, Hazel, Layla for 31 minutes in the late afternoon.\",\"I talked to Avery, Hazel, Layla for 31 minutes in the late afternoon.\"\n8757,2015/10/10,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n8758,2015/10/10,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n8759,2015/10/11,I did running on 2015/10/11.,I did running on 2015/10/11.\n8760,2015/10/11,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n8761,2015/10/11,\"I had sushi for lunch with Willow, Benjamin, Jackson, Avery\",\"I had sushi for lunch with Willow, Benjamin, Jackson, Avery\"\n8762,2015/10/11,I prepare a burger for dinner.,I prepare a burger for dinner.\n8763,2015/10/11,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n8764,2015/10/12,I did running on 2015/10/12.,I did running on 2015/10/12.\n8765,2015/10/12,\"I had pasta for dinner with Emily, Andrew, Kayden\",\"I had pasta for dinner with Emily, Andrew, Kayden\"\n8766,2015/10/12,\"I spent 35 talking to Lydia, Hazel, Piper on various topics during lunch hours.\",\"I spent 35 talking to Lydia, Hazel, Piper on various topics during lunch hours.\"\n8767,2015/10/12,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n8768,2015/10/13,I did HIIT on 2015/10/13.,I did HIIT on 2015/10/13.\n8769,2015/10/13,I had a burger for lunch with Andrew,I had a burger for lunch with Andrew\n8770,2015/10/13,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n8771,2015/10/13,\"I talked to Kinsley, Eva for 53 minutes in the morning.\",\"I talked to Kinsley, Eva for 53 minutes in the morning.\"\n8772,2015/10/13,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n8773,2015/10/14,I ate indian food for dinner.,I ate indian food for dinner.\n8774,2015/10/14,\"I talked to Kinsley, Avery, Piper, Claire for 39 minutes in the early afternoon.\",\"I talked to Kinsley, Avery, Piper, Claire for 39 minutes in the early afternoon.\"\n8775,2015/10/14,\"I talked to Nevaeh, Lydia, Piper for 19 minutes in the late afternoon.\",\"I talked to Nevaeh, Lydia, Piper for 19 minutes in the late afternoon.\"\n8776,2015/10/14,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n8777,2015/10/14,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n8778,2015/10/15,I did swimming on 2015/10/15.,I did swimming on 2015/10/15.\n8779,2015/10/15,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n8780,2015/10/15,\"I had tacos for dinner with Kinsley, Hazel, Eva, Olivia, Lydia, Avery, Piper, Layla, Nevaeh, Rylee\",\"I had tacos for dinner with Kinsley, Hazel, Eva, Olivia, Lydia, Avery, Piper, Layla, Nevaeh, Rylee\"\n8781,2015/10/15,I talked to Kinsley for 53 minutes late in the evening.,I talked to Kinsley for 53 minutes late in the evening.\n8782,2015/10/15,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n8783,2015/10/15,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n8784,2015/10/16,I did hiking on 2015/10/16.,I did hiking on 2015/10/16.\n8785,2015/10/16,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n8786,2015/10/16,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n8787,2015/10/16,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n8788,2015/10/17,\"I spent time gardening on 2015/10/17 with Kayden, Emily.\",\"I spent time gardening on 2015/10/17 with Kayden, Emily.\"\n8789,2015/10/17,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n8790,2015/10/17,\"I spent 6 talking to Kinsley, Nora, Piper, Claire on various topics in the early evening.\",\"I spent 6 talking to Kinsley, Nora, Piper, Claire on various topics in the early evening.\"\n8791,2015/10/17,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n8792,2015/10/18,I did weight lifting on 2015/10/18.,I did weight lifting on 2015/10/18.\n8793,2015/10/18,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n8794,2015/10/18,\"I spent 47 talking to Kinsley, Nora on various topics late in the evening.\",\"I spent 47 talking to Kinsley, Nora on various topics late in the evening.\"\n8795,2015/10/18,\"I talked to Hazel, Piper, Rylee, Piper for 13 minutes late in the evening.\",\"I talked to Hazel, Piper, Rylee, Piper for 13 minutes late in the evening.\"\n8796,2015/10/18,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n8797,2015/10/18,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n8798,2015/10/19,\"I talked to Piper, Claire for 49 minutes during lunch hours.\",\"I talked to Piper, Claire for 49 minutes during lunch hours.\"\n8799,2015/10/20,\"I bought some peaches, raspberries, watermelons, pears, apple juice, mineral water, body lotion, toothpaste online.\",\"I bought some peaches, raspberries, watermelons, pears, apple juice, mineral water, body lotion, toothpaste online.\"\n8800,2015/10/20,I did HIIT on 2015/10/20.,I did HIIT on 2015/10/20.\n8801,2015/10/21,I prepare steak for dinner.,I prepare steak for dinner.\n8802,2015/10/21,I watched a documentary for 14 minutes on TV today.,I watched a documentary for 14 minutes on TV today.\n8803,2015/10/22,I ate pasta for dinner.,I ate pasta for dinner.\n8804,2015/10/22,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n8805,2015/10/23,I did biking on 2015/10/23.,I did biking on 2015/10/23.\n8806,2015/10/23,I ate chinese food for dinner.,I ate chinese food for dinner.\n8807,2015/10/23,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n8808,2015/10/24,I spent some time yoga on 2015/10/24.,I spent some time yoga on 2015/10/24.\n8809,2015/10/24,I did hiking on 2015/10/24.,I did hiking on 2015/10/24.\n8810,2015/10/24,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n8811,2015/10/24,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n8812,2015/10/24,I spent 22 talking to Eva on various topics late in the evening.,I spent 22 talking to Eva on various topics late in the evening.\n8813,2015/10/25,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n8814,2015/10/25,\"I had chinese food for dinner with Kayden, Carter\",\"I had chinese food for dinner with Kayden, Carter\"\n8815,2015/10/25,\"I talked to Nora, Rylee, Nevaeh for 24 minutes in the morning.\",\"I talked to Nora, Rylee, Nevaeh for 24 minutes in the morning.\"\n8816,2015/10/25,\"I spent 16 talking to Avery, Claire, Layla on various topics in the late afternoon.\",\"I spent 16 talking to Avery, Claire, Layla on various topics in the late afternoon.\"\n8817,2015/10/26,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n8818,2015/10/26,\"I spent 34 talking to Olivia, Rylee on various topics during lunch hours.\",\"I spent 34 talking to Olivia, Rylee on various topics during lunch hours.\"\n8819,2015/10/26,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n8820,2015/10/26,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n8821,2015/10/27,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n8822,2015/10/27,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n8823,2015/10/27,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n8824,2015/10/27,\"I talked to Avery, Piper, Eva for 36 minutes during lunch hours.\",\"I talked to Avery, Piper, Eva for 36 minutes during lunch hours.\"\n8825,2015/10/27,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n8826,2015/10/28,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n8827,2015/10/28,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n8828,2015/10/29,I spent 29 talking to Lydia on various topics in the early afternoon.,I spent 29 talking to Lydia on various topics in the early afternoon.\n8829,2015/10/29,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n8830,2015/10/30,I ate steak for dinner.,I ate steak for dinner.\n8831,2015/10/30,I spent 29 talking to Nora on various topics in the early afternoon.,I spent 29 talking to Nora on various topics in the early afternoon.\n8832,2015/10/30,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n8833,2015/10/31,I did biking on 2015/10/31.,I did biking on 2015/10/31.\n8834,2015/10/31,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n8835,2015/10/31,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n8836,2015/10/31,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n8837,2015/11/01,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n8838,2015/11/01,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n8839,2015/11/02,I ate chinese food for lunch.,I ate chinese food for lunch.\n8840,2015/11/02,\"I talked to Lydia, Olivia, Rylee for 19 minutes late in the evening.\",\"I talked to Lydia, Olivia, Rylee for 19 minutes late in the evening.\"\n8841,2015/11/03,\"I went grocery shopping with Emily. I bought some oranges, tea, coffee, and conditioner, shaving cream\",\"I went grocery shopping with Emily. I bought some oranges, tea, coffee, and conditioner, shaving cream\"\n8842,2015/11/03,I had pancakes for breakfast with Emily,I had pancakes for breakfast with Emily\n8843,2015/11/03,I ate tacos for lunch.,I ate tacos for lunch.\n8844,2015/11/03,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n8845,2015/11/03,I spent 9 talking to Eva on various topics during lunch hours.,I spent 9 talking to Eva on various topics during lunch hours.\n8846,2015/11/03,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n8847,2015/11/04,I spent some time working out on 2015/11/04.,I spent some time working out on 2015/11/04.\n8848,2015/11/04,I did swimming on 2015/11/04.,I did swimming on 2015/11/04.\n8849,2015/11/04,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n8850,2015/11/04,\"I spent 28 talking to Nora, Claire on various topics during lunch hours.\",\"I spent 28 talking to Nora, Claire on various topics during lunch hours.\"\n8851,2015/11/04,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n8852,2015/11/05,I did HIIT on 2015/11/05.,I did HIIT on 2015/11/05.\n8853,2015/11/05,\"I had oatmeal for breakfast with Kinsley, Claire, Avery, Olivia, Piper, Hazel\",\"I had oatmeal for breakfast with Kinsley, Claire, Avery, Olivia, Piper, Hazel\"\n8854,2015/11/05,I prepare sushi for dinner.,I prepare sushi for dinner.\n8855,2015/11/05,\"I talked to Claire, Rylee for 25 minutes during lunch hours.\",\"I talked to Claire, Rylee for 25 minutes during lunch hours.\"\n8856,2015/11/05,I spent 43 minutes watching news on TV today.,I spent 43 minutes watching news on TV today.\n8857,2015/11/06,\"I had breakfast with Jackson, Avery, Willow. I ate toast and cheese.\",\"I had breakfast with Jackson, Avery, Willow. I ate toast and cheese.\"\n8858,2015/11/06,I ate sushi for dinner.,I ate sushi for dinner.\n8859,2015/11/06,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n8860,2015/11/07,I did biking on 2015/11/07.,I did biking on 2015/11/07.\n8861,2015/11/07,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n8862,2015/11/07,I ate chinese food for lunch.,I ate chinese food for lunch.\n8863,2015/11/07,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n8864,2015/11/07,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n8865,2015/11/08,\"I bought some nectarines, pears, apples, blackberries, orange juice, sports drinks, pineapple juice, body lotion, shampoo from the grocery store. I saw Piper, Rylee, Claire, Nora, Kinsley, Olivia, Piper, Eva, Lydia, Nevaeh, Avery at the grocery store.\",\"I bought some nectarines, pears, apples, blackberries, orange juice, sports drinks, pineapple juice, body lotion, shampoo from the grocery store. I saw Piper, Rylee, Claire, Nora, Kinsley, Olivia, Piper, Eva, Lydia, Nevaeh, Avery at the grocery store.\"\n8866,2015/11/08,I ate a burger for lunch.,I ate a burger for lunch.\n8867,2015/11/08,\"I had dinner with Eva, Piper. I ate a burger.\",\"I had dinner with Eva, Piper. I ate a burger.\"\n8868,2015/11/08,I spent 31 talking to Claire on various topics late in the evening.,I spent 31 talking to Claire on various topics late in the evening.\n8869,2015/11/08,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n8870,2015/11/08,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n8871,2015/11/09,\"I had pancakes for breakfast with Avery, Olivia, Hazel, Layla, Claire, Rylee, Lydia, Nora, Piper\",\"I had pancakes for breakfast with Avery, Olivia, Hazel, Layla, Claire, Rylee, Lydia, Nora, Piper\"\n8872,2015/11/09,\"I spent 31 talking to Eva, Lydia, Piper on various topics in the late afternoon.\",\"I spent 31 talking to Eva, Lydia, Piper on various topics in the late afternoon.\"\n8873,2015/11/09,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n8874,2015/11/10,I ate pasta for lunch.,I ate pasta for lunch.\n8875,2015/11/10,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n8876,2015/11/11,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n8877,2015/11/11,\"I had pasta for lunch with Kayden, Carter, Andrew\",\"I had pasta for lunch with Kayden, Carter, Andrew\"\n8878,2015/11/11,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n8879,2015/11/12,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n8880,2015/11/12,I spent 15 talking to Nora on various topics in the morning.,I spent 15 talking to Nora on various topics in the morning.\n8881,2015/11/12,I spent 24 talking to Rylee on various topics in the late afternoon.,I spent 24 talking to Rylee on various topics in the late afternoon.\n8882,2015/11/12,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n8883,2015/11/13,I went on a date with Lily on 2015/11/13 at a park,I went on a date with Lily on 2015/11/13 at a park\n8884,2015/11/13,\"I went grocery shopping. I bought some apples, apple juice, milk, chocolate milk, coffee, and mouthwash\",\"I went grocery shopping. I bought some apples, apple juice, milk, chocolate milk, coffee, and mouthwash\"\n8885,2015/11/13,I did swimming on 2015/11/13.,I did swimming on 2015/11/13.\n8886,2015/11/13,\"I had breakfast with Nevaeh, Hazel, Nora, Avery, Rylee, Piper, Lydia. I ate toast and cheese.\",\"I had breakfast with Nevaeh, Hazel, Nora, Avery, Rylee, Piper, Lydia. I ate toast and cheese.\"\n8887,2015/11/13,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n8888,2015/11/13,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n8889,2015/11/14,I did running on 2015/11/14.,I did running on 2015/11/14.\n8890,2015/11/14,I had tacos for lunch with Jackson,I had tacos for lunch with Jackson\n8891,2015/11/14,\"I had dinner with Rylee, Hazel, Piper, Eva, Nora, Layla, Kinsley, Piper. I ate pasta.\",\"I had dinner with Rylee, Hazel, Piper, Eva, Nora, Layla, Kinsley, Piper. I ate pasta.\"\n8892,2015/11/14,\"I talked to Lydia, Nora, Layla for 9 minutes in the late afternoon.\",\"I talked to Lydia, Nora, Layla for 9 minutes in the late afternoon.\"\n8893,2015/11/14,\"I talked to Avery, Olivia, Piper for 14 minutes in the morning.\",\"I talked to Avery, Olivia, Piper for 14 minutes in the morning.\"\n8894,2015/11/14,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n8895,2015/11/15,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n8896,2015/11/15,I ate sandwich for dinner.,I ate sandwich for dinner.\n8897,2015/11/15,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n8898,2015/11/16,\"I really enjoyed baking easy peanut butter fudge on 2015/11/16 with Avery, Lydia at my place\",\"I really enjoyed baking easy peanut butter fudge on 2015/11/16 with Avery, Lydia at my place\"\n8899,2015/11/16,\"I spent 12 talking to Hazel, Kinsley, Eva on various topics in the late afternoon.\",\"I spent 12 talking to Hazel, Kinsley, Eva on various topics in the late afternoon.\"\n8900,2015/11/16,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n8901,2015/11/17,I did swimming on 2015/11/17.,I did swimming on 2015/11/17.\n8902,2015/11/17,\"I had sandwich for dinner with Eva, Lydia, Rylee, Avery, Layla, Piper, Claire\",\"I had sandwich for dinner with Eva, Lydia, Rylee, Avery, Layla, Piper, Claire\"\n8903,2015/11/17,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n8904,2015/11/17,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n8905,2015/11/18,\"I spent time yoga on 2015/11/18 with Benjamin, Jackson, Avery.\",\"I spent time yoga on 2015/11/18 with Benjamin, Jackson, Avery.\"\n8906,2015/11/18,I ate indian food for lunch.,I ate indian food for lunch.\n8907,2015/11/18,\"I talked to Claire, Rylee, Kinsley, Piper for 46 minutes during lunch hours.\",\"I talked to Claire, Rylee, Kinsley, Piper for 46 minutes during lunch hours.\"\n8908,2015/11/18,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n8909,2015/11/18,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n8910,2015/11/19,I did weight lifting on 2015/11/19.,I did weight lifting on 2015/11/19.\n8911,2015/11/19,I had toast and cheese for breakfast with Andrew,I had toast and cheese for breakfast with Andrew\n8912,2015/11/20,I did HIIT on 2015/11/20.,I did HIIT on 2015/11/20.\n8913,2015/11/20,\"I had breakfast with Andrew, Kayden, Emily, Carter. I ate oatmeal.\",\"I had breakfast with Andrew, Kayden, Emily, Carter. I ate oatmeal.\"\n8914,2015/11/20,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n8915,2015/11/20,\"I talked to Layla, Piper, Kinsley, Hazel for 13 minutes in the late afternoon.\",\"I talked to Layla, Piper, Kinsley, Hazel for 13 minutes in the late afternoon.\"\n8916,2015/11/20,\"I talked to Eva, Claire, Hazel, Avery for 48 minutes in the late afternoon.\",\"I talked to Eva, Claire, Hazel, Avery for 48 minutes in the late afternoon.\"\n8917,2015/11/20,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n8918,2015/11/20,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n8919,2015/11/21,\"I bought some blackberries, peaches, mango juice, paper towel from the grocery store. I saw Nevaeh, Nora, Kinsley, Olivia, Avery, Claire, Layla, Hazel, Rylee, Lydia, Piper, Piper, Eva at the grocery store.\",\"I bought some blackberries, peaches, mango juice, paper towel from the grocery store. I saw Nevaeh, Nora, Kinsley, Olivia, Avery, Claire, Layla, Hazel, Rylee, Lydia, Piper, Piper, Eva at the grocery store.\"\n8920,2015/11/21,I prepare tacos for lunch.,I prepare tacos for lunch.\n8921,2015/11/21,\"I spent 17 talking to Claire, Avery, Nora, Lydia on various topics late in the evening.\",\"I spent 17 talking to Claire, Avery, Nora, Lydia on various topics late in the evening.\"\n8922,2015/11/21,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n8923,2015/11/22,I did running on 2015/11/22.,I did running on 2015/11/22.\n8924,2015/11/22,I spent 19 talking to Piper on various topics in the late afternoon.,I spent 19 talking to Piper on various topics in the late afternoon.\n8925,2015/11/22,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n8926,2015/11/23,I did biking on 2015/11/23.,I did biking on 2015/11/23.\n8927,2015/11/23,\"I talked to Hazel, Kinsley, Eva, Avery for 42 minutes in the early afternoon.\",\"I talked to Hazel, Kinsley, Eva, Avery for 42 minutes in the early afternoon.\"\n8928,2015/11/23,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n8929,2015/11/24,I did biking on 2015/11/24.,I did biking on 2015/11/24.\n8930,2015/11/24,I had fish and chips for lunch with Jackson,I had fish and chips for lunch with Jackson\n8931,2015/11/24,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n8932,2015/11/24,\"I talked to Eva, Piper, Hazel for 12 minutes late in the evening.\",\"I talked to Eva, Piper, Hazel for 12 minutes late in the evening.\"\n8933,2015/11/24,\"I spent 15 talking to Eva, Kinsley on various topics in the late afternoon.\",\"I spent 15 talking to Eva, Kinsley on various topics in the late afternoon.\"\n8934,2015/11/24,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n8935,2015/11/24,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n8936,2015/11/25,\"I had indian food for dinner with Emily, Kayden, Carter, Andrew\",\"I had indian food for dinner with Emily, Kayden, Carter, Andrew\"\n8937,2015/11/25,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n8938,2015/11/26,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n8939,2015/11/27,\"On 2015/11/27, I took Henry on a date to a restaurant\",\"On 2015/11/27, I took Henry on a date to a restaurant\"\n8940,2015/11/27,\"I had pancakes for breakfast with Nora, Kinsley, Eva, Olivia, Hazel, Piper, Nevaeh, Avery, Layla\",\"I had pancakes for breakfast with Nora, Kinsley, Eva, Olivia, Hazel, Piper, Nevaeh, Avery, Layla\"\n8941,2015/11/27,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n8942,2015/11/28,\"I went grocery shopping with Claire, Kinsley, Eva, Layla, Nevaeh. I bought some raspberries, peaches, watermelons, orange juice, sports drinks, apple juice, guava juice, and toilet paper, conditioner, paper towel\",\"I went grocery shopping with Claire, Kinsley, Eva, Layla, Nevaeh. I bought some raspberries, peaches, watermelons, orange juice, sports drinks, apple juice, guava juice, and toilet paper, conditioner, paper towel\"\n8943,2015/11/28,I did HIIT on 2015/11/28.,I did HIIT on 2015/11/28.\n8944,2015/11/28,\"I had breakfast with Kayden, Emily, Carter. I ate pancakes.\",\"I had breakfast with Kayden, Emily, Carter. I ate pancakes.\"\n8945,2015/11/28,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n8946,2015/11/28,\"I had sushi for dinner with Andrew, Carter, Emily, Kayden\",\"I had sushi for dinner with Andrew, Carter, Emily, Kayden\"\n8947,2015/11/28,I talked to Claire for 10 minutes late in the evening.,I talked to Claire for 10 minutes late in the evening.\n8948,2015/11/28,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n8949,2015/11/29,I did biking on 2015/11/29.,I did biking on 2015/11/29.\n8950,2015/11/29,I ate tacos for lunch.,I ate tacos for lunch.\n8951,2015/11/29,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n8952,2015/11/29,\"I spent 38 talking to Kinsley, Piper, Lydia on various topics in the morning.\",\"I spent 38 talking to Kinsley, Piper, Lydia on various topics in the morning.\"\n8953,2015/11/30,I did hiking on 2015/11/30.,I did hiking on 2015/11/30.\n8954,2015/11/30,I ate cereals for breakfast.,I ate cereals for breakfast.\n8955,2015/11/30,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n8956,2015/12/01,I went on a date with Grace on 2015/12/01 at a boba shop,I went on a date with Grace on 2015/12/01 at a boba shop\n8957,2015/12/01,\"I had pasta for lunch with Kayden, Emily, Andrew, Carter\",\"I had pasta for lunch with Kayden, Emily, Andrew, Carter\"\n8958,2015/12/01,\"I talked to Piper, Nevaeh, Piper, Lydia for 7 minutes in the morning.\",\"I talked to Piper, Nevaeh, Piper, Lydia for 7 minutes in the morning.\"\n8959,2015/12/01,I spent 35 talking to Olivia on various topics during lunch hours.,I spent 35 talking to Olivia on various topics during lunch hours.\n8960,2015/12/01,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n8961,2015/12/02,\"I went grocery shopping. I bought some apples, oranges, pineapples, guava, soda, mineral water, tea, mango juice, and facial wash\",\"I went grocery shopping. I bought some apples, oranges, pineapples, guava, soda, mineral water, tea, mango juice, and facial wash\"\n8962,2015/12/02,I did HIIT on 2015/12/02.,I did HIIT on 2015/12/02.\n8963,2015/12/02,\"I had chinese food for dinner with Kayden, Carter\",\"I had chinese food for dinner with Kayden, Carter\"\n8964,2015/12/03,I did hiking on 2015/12/03.,I did hiking on 2015/12/03.\n8965,2015/12/03,\"I had breakfast with Emily, Kayden, Andrew, Carter. I ate pancakes.\",\"I had breakfast with Emily, Kayden, Andrew, Carter. I ate pancakes.\"\n8966,2015/12/03,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n8967,2015/12/03,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n8968,2015/12/03,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n8969,2015/12/04,I spent some time meditation on 2015/12/04.,I spent some time meditation on 2015/12/04.\n8970,2015/12/04,\"I bought some pears, sports drinks, conditioner, mouthwash online.\",\"I bought some pears, sports drinks, conditioner, mouthwash online.\"\n8971,2015/12/04,I had dinner. I ate steak.,I had dinner. I ate steak.\n8972,2015/12/04,I talked to Hazel for 44 minutes in the morning.,I talked to Hazel for 44 minutes in the morning.\n8973,2015/12/04,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n8974,2015/12/04,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n8975,2015/12/05,I did hiking on 2015/12/05.,I did hiking on 2015/12/05.\n8976,2015/12/05,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n8977,2015/12/05,I ate steak for lunch.,I ate steak for lunch.\n8978,2015/12/05,\"I talked to Kinsley, Nora, Claire for 50 minutes in the morning.\",\"I talked to Kinsley, Nora, Claire for 50 minutes in the morning.\"\n8979,2015/12/05,\"I talked to Nevaeh, Kinsley for 11 minutes during lunch hours.\",\"I talked to Nevaeh, Kinsley for 11 minutes during lunch hours.\"\n8980,2015/12/06,\"I bought some pineapples, apricots, coffee, soda, facial wash online.\",\"I bought some pineapples, apricots, coffee, soda, facial wash online.\"\n8981,2015/12/06,I had indian food for lunch with Carter,I had indian food for lunch with Carter\n8982,2015/12/06,\"I talked to Claire, Olivia for 41 minutes in the morning.\",\"I talked to Claire, Olivia for 41 minutes in the morning.\"\n8983,2015/12/06,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n8984,2015/12/07,I did swimming on 2015/12/07.,I did swimming on 2015/12/07.\n8985,2015/12/07,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n8986,2015/12/07,I ate a burger for lunch.,I ate a burger for lunch.\n8987,2015/12/07,\"I spent 29 talking to Piper, Kinsley on various topics in the early evening.\",\"I spent 29 talking to Piper, Kinsley on various topics in the early evening.\"\n8988,2015/12/07,I spent 9 talking to Lydia on various topics in the morning.,I spent 9 talking to Lydia on various topics in the morning.\n8989,2015/12/07,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n8990,2015/12/08,\"On 2015/12/08, I took Caroline on a date to a restaurant\",\"On 2015/12/08, I took Caroline on a date to a restaurant\"\n8991,2015/12/08,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n8992,2015/12/08,I ate pasta for dinner.,I ate pasta for dinner.\n8993,2015/12/08,\"I talked to Kinsley, Nora for 33 minutes during lunch hours.\",\"I talked to Kinsley, Nora for 33 minutes during lunch hours.\"\n8994,2015/12/08,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n8995,2015/12/08,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n8996,2015/12/09,\"I had pancakes for breakfast with Lydia, Olivia, Hazel, Nevaeh, Piper, Avery, Piper\",\"I had pancakes for breakfast with Lydia, Olivia, Hazel, Nevaeh, Piper, Avery, Piper\"\n8997,2015/12/09,I ate pasta for dinner.,I ate pasta for dinner.\n8998,2015/12/09,\"I spent 7 talking to Avery, Olivia, Layla, Kinsley on various topics in the morning.\",\"I spent 7 talking to Avery, Olivia, Layla, Kinsley on various topics in the morning.\"\n8999,2015/12/09,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n9000,2015/12/10,\"I bought some apricots, guava juice, orange juice, chocolate milk, mouth wash from the grocery store. I saw Piper, Hazel, Claire, Lydia at the grocery store.\",\"I bought some apricots, guava juice, orange juice, chocolate milk, mouth wash from the grocery store. I saw Piper, Hazel, Claire, Lydia at the grocery store.\"\n9001,2015/12/10,I did hiking on 2015/12/10.,I did hiking on 2015/12/10.\n9002,2015/12/10,I ate tacos for dinner.,I ate tacos for dinner.\n9003,2015/12/10,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n9004,2015/12/11,I did running on 2015/12/11.,I did running on 2015/12/11.\n9005,2015/12/11,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n9006,2015/12/12,I did weight lifting on 2015/12/12.,I did weight lifting on 2015/12/12.\n9007,2015/12/13,\"I bought some peaches, raspberries, chocolate milk, soda, orange juice, shaving cream, facial wash, toothpaste, toothbrush online.\",\"I bought some peaches, raspberries, chocolate milk, soda, orange juice, shaving cream, facial wash, toothpaste, toothbrush online.\"\n9008,2015/12/13,I had breakfast with Emily. I ate peanut-butter-jam.,I had breakfast with Emily. I ate peanut-butter-jam.\n9009,2015/12/13,I spent 27 talking to Eva on various topics in the morning.,I spent 27 talking to Eva on various topics in the morning.\n9010,2015/12/13,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n9011,2015/12/14,\"I had lunch with Hazel, Olivia, Claire, Nevaeh, Nora, Rylee, Kinsley, Piper, Avery, Layla, Eva. I ate sandwich.\",\"I had lunch with Hazel, Olivia, Claire, Nevaeh, Nora, Rylee, Kinsley, Piper, Avery, Layla, Eva. I ate sandwich.\"\n9012,2015/12/14,\"I talked to Eva, Olivia, Rylee for 42 minutes in the early afternoon.\",\"I talked to Eva, Olivia, Rylee for 42 minutes in the early afternoon.\"\n9013,2015/12/14,\"I spent 16 talking to Olivia, Piper on various topics in the morning.\",\"I spent 16 talking to Olivia, Piper on various topics in the morning.\"\n9014,2015/12/14,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n9015,2015/12/15,I did weight lifting on 2015/12/15.,I did weight lifting on 2015/12/15.\n9016,2015/12/15,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n9017,2015/12/15,I ate pasta for dinner.,I ate pasta for dinner.\n9018,2015/12/15,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n9019,2015/12/15,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n9020,2015/12/16,I had pancakes for breakfast with Carter,I had pancakes for breakfast with Carter\n9021,2015/12/16,\"I spent 37 talking to Nora, Kinsley on various topics in the early evening.\",\"I spent 37 talking to Nora, Kinsley on various topics in the early evening.\"\n9022,2015/12/17,I did weight lifting on 2015/12/17.,I did weight lifting on 2015/12/17.\n9023,2015/12/17,I prepare pasta for dinner.,I prepare pasta for dinner.\n9024,2015/12/18,\"I had toast and cheese for breakfast with Jackson, Benjamin\",\"I had toast and cheese for breakfast with Jackson, Benjamin\"\n9025,2015/12/18,I had dinner. I ate steak.,I had dinner. I ate steak.\n9026,2015/12/19,I went on a date with Abigail on 2015/12/19 at a coffee Shop,I went on a date with Abigail on 2015/12/19 at a coffee Shop\n9027,2015/12/19,\"I bought some watermelons, apricots, pears, strawberries, tea, mineral water, mouth wash, toilet paper, facial wash, body lotion online.\",\"I bought some watermelons, apricots, pears, strawberries, tea, mineral water, mouth wash, toilet paper, facial wash, body lotion online.\"\n9028,2015/12/19,\"I talked to Piper, Eva, Nora for 41 minutes in the early afternoon.\",\"I talked to Piper, Eva, Nora for 41 minutes in the early afternoon.\"\n9029,2015/12/19,\"I talked to Hazel, Piper, Rylee for 14 minutes during lunch hours.\",\"I talked to Hazel, Piper, Rylee for 14 minutes during lunch hours.\"\n9030,2015/12/19,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n9031,2015/12/19,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n9032,2015/12/20,I had pancakes for breakfast with Willow,I had pancakes for breakfast with Willow\n9033,2015/12/20,I ate a burger for lunch.,I ate a burger for lunch.\n9034,2015/12/20,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n9035,2015/12/20,\"I spent 16 talking to Layla, Hazel, Piper, Piper on various topics in the late afternoon.\",\"I spent 16 talking to Layla, Hazel, Piper, Piper on various topics in the late afternoon.\"\n9036,2015/12/21,\"On 2015/12/21, I took Hailey on a date to a coffee Shop\",\"On 2015/12/21, I took Hailey on a date to a coffee Shop\"\n9037,2015/12/21,\"I bought some blackberries, raspberries, soda, milk, tea, shampoo, toilet paper, mouthwash, mouth wash online.\",\"I bought some blackberries, raspberries, soda, milk, tea, shampoo, toilet paper, mouthwash, mouth wash online.\"\n9038,2015/12/21,\"I talked to Rylee, Kinsley for 52 minutes during lunch hours.\",\"I talked to Rylee, Kinsley for 52 minutes during lunch hours.\"\n9039,2015/12/22,\"I had a burger for lunch with Emily, Andrew\",\"I had a burger for lunch with Emily, Andrew\"\n9040,2015/12/22,\"I had dinner with Kayden, Andrew, Emily. I ate fish and chips.\",\"I had dinner with Kayden, Andrew, Emily. I ate fish and chips.\"\n9041,2015/12/22,I talked to Piper for 26 minutes late in the evening.,I talked to Piper for 26 minutes late in the evening.\n9042,2015/12/22,\"I talked to Hazel, Nora, Piper, Avery for 23 minutes in the early evening.\",\"I talked to Hazel, Nora, Piper, Avery for 23 minutes in the early evening.\"\n9043,2015/12/22,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n9044,2015/12/23,I did weight lifting on 2015/12/23.,I did weight lifting on 2015/12/23.\n9045,2015/12/23,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n9046,2015/12/23,\"I had lunch with Carter, Andrew. I ate fish and chips.\",\"I had lunch with Carter, Andrew. I ate fish and chips.\"\n9047,2015/12/23,\"I spent 52 talking to Nora, Claire, Piper on various topics in the morning.\",\"I spent 52 talking to Nora, Claire, Piper on various topics in the morning.\"\n9048,2015/12/24,I did swimming on 2015/12/24.,I did swimming on 2015/12/24.\n9049,2015/12/24,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n9050,2015/12/24,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n9051,2015/12/25,I did HIIT on 2015/12/25.,I did HIIT on 2015/12/25.\n9052,2015/12/25,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n9053,2015/12/25,\"I had lunch with Jackson, Willow, Avery, Benjamin. I ate steak.\",\"I had lunch with Jackson, Willow, Avery, Benjamin. I ate steak.\"\n9054,2015/12/25,\"I had dinner with Olivia, Piper, Avery, Nora. I ate fish and chips.\",\"I had dinner with Olivia, Piper, Avery, Nora. I ate fish and chips.\"\n9055,2015/12/25,\"I spent 51 talking to Layla, Rylee, Claire on various topics in the early evening.\",\"I spent 51 talking to Layla, Rylee, Claire on various topics in the early evening.\"\n9056,2015/12/25,\"I talked to Kinsley, Nevaeh, Lydia, Rylee for 7 minutes in the early afternoon.\",\"I talked to Kinsley, Nevaeh, Lydia, Rylee for 7 minutes in the early afternoon.\"\n9057,2015/12/26,\"I bought some strawberries, nectarines, blueberries, mangos, mango juice, pineapple juice, milk, chocolate milk, shaving cream, toothbrush online.\",\"I bought some strawberries, nectarines, blueberries, mangos, mango juice, pineapple juice, milk, chocolate milk, shaving cream, toothbrush online.\"\n9058,2015/12/26,I did swimming on 2015/12/26.,I did swimming on 2015/12/26.\n9059,2015/12/26,I ate cereals for breakfast.,I ate cereals for breakfast.\n9060,2015/12/26,\"I had dinner with Olivia, Nora, Piper, Avery, Rylee, Hazel. I ate sandwich.\",\"I had dinner with Olivia, Nora, Piper, Avery, Rylee, Hazel. I ate sandwich.\"\n9061,2015/12/26,I spent 25 talking to Rylee on various topics in the late afternoon.,I spent 25 talking to Rylee on various topics in the late afternoon.\n9062,2015/12/27,\"On 2015/12/27, I took Lillian on a date to a boba shop\",\"On 2015/12/27, I took Lillian on a date to a boba shop\"\n9063,2015/12/27,\"I bought some oranges, raspberries, mineral water, paper towel, body lotion, facial wash online.\",\"I bought some oranges, raspberries, mineral water, paper towel, body lotion, facial wash online.\"\n9064,2015/12/27,\"I had breakfast with Avery, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Jackson. I ate peanut-butter-jam.\"\n9065,2015/12/27,\"I had chinese food for dinner with Willow, Avery, Benjamin, Jackson\",\"I had chinese food for dinner with Willow, Avery, Benjamin, Jackson\"\n9066,2015/12/27,\"I talked to Claire, Layla for 19 minutes in the morning.\",\"I talked to Claire, Layla for 19 minutes in the morning.\"\n9067,2015/12/27,\"I talked to Piper, Nora for 9 minutes in the early evening.\",\"I talked to Piper, Nora for 9 minutes in the early evening.\"\n9068,2015/12/28,I spent time meditation on 2015/12/28 with Kayden.,I spent time meditation on 2015/12/28 with Kayden.\n9069,2015/12/28,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n9070,2015/12/28,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n9071,2015/12/28,I prepare tacos for dinner.,I prepare tacos for dinner.\n9072,2015/12/28,\"I talked to Layla, Avery for 48 minutes in the late afternoon.\",\"I talked to Layla, Avery for 48 minutes in the late afternoon.\"\n9073,2015/12/28,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n9074,2015/12/28,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n9075,2015/12/29,I did swimming on 2015/12/29.,I did swimming on 2015/12/29.\n9076,2015/12/29,I ate indian food for lunch.,I ate indian food for lunch.\n9077,2015/12/30,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n9078,2015/12/30,I prepare pasta for lunch.,I prepare pasta for lunch.\n9079,2015/12/30,I had dinner. I ate steak.,I had dinner. I ate steak.\n9080,2015/12/30,I spent 37 minutes watching a movie on TV today.,I spent 37 minutes watching a movie on TV today.\n9081,2015/12/31,I did HIIT on 2015/12/31.,I did HIIT on 2015/12/31.\n9082,2015/12/31,\"I had pancakes for breakfast with Emily, Kayden, Andrew\",\"I had pancakes for breakfast with Emily, Kayden, Andrew\"\n9083,2015/12/31,\"I had sandwich for lunch with Nevaeh, Claire, Piper, Avery, Nora, Lydia, Hazel, Kinsley, Piper\",\"I had sandwich for lunch with Nevaeh, Claire, Piper, Avery, Nora, Lydia, Hazel, Kinsley, Piper\"\n9084,2015/12/31,I spent 12 talking to Rylee on various topics in the early evening.,I spent 12 talking to Rylee on various topics in the early evening.\n9085,2015/12/31,\"I spent 27 talking to Piper, Layla, Kinsley, Olivia on various topics during lunch hours.\",\"I spent 27 talking to Piper, Layla, Kinsley, Olivia on various topics during lunch hours.\"\n9086,2016/01/01,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n9087,2016/01/01,I did hiking on 2016/01/01.,I did hiking on 2016/01/01.\n9088,2016/01/01,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n9089,2016/01/01,\"I had lunch with Avery, Jackson. I ate a burger.\",\"I had lunch with Avery, Jackson. I ate a burger.\"\n9090,2016/01/01,I had pasta for dinner with Kayden,I had pasta for dinner with Kayden\n9091,2016/01/02,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n9092,2016/01/02,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n9093,2016/01/03,I did running on 2016/01/03.,I did running on 2016/01/03.\n9094,2016/01/03,\"I had steak for dinner with Kayden, Emily, Andrew\",\"I had steak for dinner with Kayden, Emily, Andrew\"\n9095,2016/01/03,\"I talked to Rylee, Nora, Layla, Avery for 17 minutes in the early evening.\",\"I talked to Rylee, Nora, Layla, Avery for 17 minutes in the early evening.\"\n9096,2016/01/03,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n9097,2016/01/04,\"I spent 32 talking to Rylee, Lydia on various topics late in the evening.\",\"I spent 32 talking to Rylee, Lydia on various topics late in the evening.\"\n9098,2016/01/05,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n9099,2016/01/05,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n9100,2016/01/05,\"I spent 21 talking to Piper, Avery on various topics late in the evening.\",\"I spent 21 talking to Piper, Avery on various topics late in the evening.\"\n9101,2016/01/05,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n9102,2016/01/06,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n9103,2016/01/06,I ate indian food for dinner.,I ate indian food for dinner.\n9104,2016/01/06,I spent 27 talking to Lydia on various topics in the early evening.,I spent 27 talking to Lydia on various topics in the early evening.\n9105,2016/01/06,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n9106,2016/01/06,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n9107,2016/01/07,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n9108,2016/01/07,I prepare a burger for lunch.,I prepare a burger for lunch.\n9109,2016/01/07,I talked to Layla for 42 minutes in the morning.,I talked to Layla for 42 minutes in the morning.\n9110,2016/01/07,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n9111,2016/01/08,I did running on 2016/01/08.,I did running on 2016/01/08.\n9112,2016/01/08,\"I had peanut-butter-jam for breakfast with Benjamin, Avery, Willow\",\"I had peanut-butter-jam for breakfast with Benjamin, Avery, Willow\"\n9113,2016/01/08,I had indian food for lunch with Willow,I had indian food for lunch with Willow\n9114,2016/01/08,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n9115,2016/01/09,\"I had peanut-butter-jam for breakfast with Avery, Willow, Benjamin\",\"I had peanut-butter-jam for breakfast with Avery, Willow, Benjamin\"\n9116,2016/01/09,I prepare a burger for lunch.,I prepare a burger for lunch.\n9117,2016/01/09,\"I had chinese food for dinner with Lydia, Hazel, Kinsley, Nevaeh, Nora, Avery, Rylee\",\"I had chinese food for dinner with Lydia, Hazel, Kinsley, Nevaeh, Nora, Avery, Rylee\"\n9118,2016/01/10,I did weight lifting on 2016/01/10.,I did weight lifting on 2016/01/10.\n9119,2016/01/10,I prepare steak for lunch.,I prepare steak for lunch.\n9120,2016/01/10,I had chinese food for dinner with Emily,I had chinese food for dinner with Emily\n9121,2016/01/10,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n9122,2016/01/11,I ate indian food for dinner.,I ate indian food for dinner.\n9123,2016/01/11,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n9124,2016/01/12,\"I had tacos for lunch with Benjamin, Willow, Avery, Jackson\",\"I had tacos for lunch with Benjamin, Willow, Avery, Jackson\"\n9125,2016/01/12,I spent 34 talking to Nevaeh on various topics in the early afternoon.,I spent 34 talking to Nevaeh on various topics in the early afternoon.\n9126,2016/01/12,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n9127,2016/01/13,\"I spent time meditation on 2016/01/13 with Emily, Kayden.\",\"I spent time meditation on 2016/01/13 with Emily, Kayden.\"\n9128,2016/01/13,I did running on 2016/01/13.,I did running on 2016/01/13.\n9129,2016/01/13,I had tacos for lunch with Emily,I had tacos for lunch with Emily\n9130,2016/01/13,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n9131,2016/01/13,\"I spent 15 talking to Avery, Lydia on various topics in the late afternoon.\",\"I spent 15 talking to Avery, Lydia on various topics in the late afternoon.\"\n9132,2016/01/14,I went for an annual dental cleaning and checkup on 2016/01/14 at the private clinic.,I went for an annual dental cleaning and checkup on 2016/01/14 at the private clinic.\n9133,2016/01/14,I went on a date with Elena on 2016/01/14 at a boba shop,I went on a date with Elena on 2016/01/14 at a boba shop\n9134,2016/01/14,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n9135,2016/01/14,I prepare steak for lunch.,I prepare steak for lunch.\n9136,2016/01/15,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n9137,2016/01/15,I ate chinese food for dinner.,I ate chinese food for dinner.\n9138,2016/01/15,I talked to Hazel for 36 minutes in the early afternoon.,I talked to Hazel for 36 minutes in the early afternoon.\n9139,2016/01/15,I talked to Nevaeh for 36 minutes in the early afternoon.,I talked to Nevaeh for 36 minutes in the early afternoon.\n9140,2016/01/15,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n9141,2016/01/16,I did biking on 2016/01/16.,I did biking on 2016/01/16.\n9142,2016/01/16,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n9143,2016/01/16,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n9144,2016/01/17,I did biking on 2016/01/17.,I did biking on 2016/01/17.\n9145,2016/01/17,I ate chinese food for dinner.,I ate chinese food for dinner.\n9146,2016/01/17,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n9147,2016/01/18,I did HIIT on 2016/01/18.,I did HIIT on 2016/01/18.\n9148,2016/01/18,\"I talked to Lydia, Claire, Olivia, Nevaeh for 7 minutes in the morning.\",\"I talked to Lydia, Claire, Olivia, Nevaeh for 7 minutes in the morning.\"\n9149,2016/01/19,\"On 2016/01/19, I took Christophe on a date to a restaurant\",\"On 2016/01/19, I took Christophe on a date to a restaurant\"\n9150,2016/01/19,I prepare steak for lunch.,I prepare steak for lunch.\n9151,2016/01/19,\"I spent 47 talking to Piper, Eva, Kinsley, Layla on various topics in the early afternoon.\",\"I spent 47 talking to Piper, Eva, Kinsley, Layla on various topics in the early afternoon.\"\n9152,2016/01/19,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n9153,2016/01/19,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n9154,2016/01/20,I did biking on 2016/01/20.,I did biking on 2016/01/20.\n9155,2016/01/20,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n9156,2016/01/20,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n9157,2016/01/21,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n9158,2016/01/21,I prepare pasta for lunch.,I prepare pasta for lunch.\n9159,2016/01/21,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n9160,2016/01/21,\"I spent 12 talking to Piper, Nevaeh on various topics late in the evening.\",\"I spent 12 talking to Piper, Nevaeh on various topics late in the evening.\"\n9161,2016/01/22,\"On 2016/01/22, I took Adrian on a date to a coffee Shop\",\"On 2016/01/22, I took Adrian on a date to a coffee Shop\"\n9162,2016/01/22,I did running on 2016/01/22.,I did running on 2016/01/22.\n9163,2016/01/22,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n9164,2016/01/22,\"I had indian food for lunch with Olivia, Lydia, Hazel, Rylee, Kinsley, Layla, Nora, Avery, Piper, Eva, Nevaeh, Claire\",\"I had indian food for lunch with Olivia, Lydia, Hazel, Rylee, Kinsley, Layla, Nora, Avery, Piper, Eva, Nevaeh, Claire\"\n9165,2016/01/22,\"I had chinese food for dinner with Kayden, Andrew\",\"I had chinese food for dinner with Kayden, Andrew\"\n9166,2016/01/22,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n9167,2016/01/22,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n9168,2016/01/23,\"I had breakfast with Hazel, Eva, Piper. I ate cereals.\",\"I had breakfast with Hazel, Eva, Piper. I ate cereals.\"\n9169,2016/01/23,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n9170,2016/01/23,\"I spent 29 talking to Claire, Lydia, Hazel, Avery on various topics late in the evening.\",\"I spent 29 talking to Claire, Lydia, Hazel, Avery on various topics late in the evening.\"\n9171,2016/01/24,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n9172,2016/01/24,I ate a burger for lunch.,I ate a burger for lunch.\n9173,2016/01/25,I did biking on 2016/01/25.,I did biking on 2016/01/25.\n9174,2016/01/25,\"I had toast and cheese for breakfast with Claire, Piper\",\"I had toast and cheese for breakfast with Claire, Piper\"\n9175,2016/01/25,\"I spent 43 talking to Rylee, Olivia, Piper, Avery on various topics in the late afternoon.\",\"I spent 43 talking to Rylee, Olivia, Piper, Avery on various topics in the late afternoon.\"\n9176,2016/01/25,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n9177,2016/01/25,I spent 5 minutes watching a documentary on TV today.,I spent 5 minutes watching a documentary on TV today.\n9178,2016/01/26,I spent some time working out on 2016/01/26.,I spent some time working out on 2016/01/26.\n9179,2016/01/26,\"I went grocery shopping with Kinsley. I bought some pears, mandarins, blackberries, mangos, mango juice, mineral water, chocolate milk, and shampoo, toilet paper, mouth wash\",\"I went grocery shopping with Kinsley. I bought some pears, mandarins, blackberries, mangos, mango juice, mineral water, chocolate milk, and shampoo, toilet paper, mouth wash\"\n9180,2016/01/26,\"I spent 23 talking to Avery, Eva, Nora, Rylee on various topics in the late afternoon.\",\"I spent 23 talking to Avery, Eva, Nora, Rylee on various topics in the late afternoon.\"\n9181,2016/01/26,I talked to Nora for 25 minutes in the early evening.,I talked to Nora for 25 minutes in the early evening.\n9182,2016/01/26,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n9183,2016/01/26,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n9184,2016/01/27,\"I had cereals for breakfast with Claire, Piper, Nevaeh, Avery\",\"I had cereals for breakfast with Claire, Piper, Nevaeh, Avery\"\n9185,2016/01/27,I had lunch with Emily. I ate sushi.,I had lunch with Emily. I ate sushi.\n9186,2016/01/27,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n9187,2016/01/28,I did swimming on 2016/01/28.,I did swimming on 2016/01/28.\n9188,2016/01/28,\"I had pancakes for breakfast with Emily, Andrew, Kayden, Carter\",\"I had pancakes for breakfast with Emily, Andrew, Kayden, Carter\"\n9189,2016/01/28,\"I had tacos for lunch with Nevaeh, Piper, Nora\",\"I had tacos for lunch with Nevaeh, Piper, Nora\"\n9190,2016/01/28,\"I spent 34 talking to Nevaeh, Hazel on various topics in the late afternoon.\",\"I spent 34 talking to Nevaeh, Hazel on various topics in the late afternoon.\"\n9191,2016/01/28,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n9192,2016/01/29,\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate peanut-butter-jam.\"\n9193,2016/01/29,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n9194,2016/01/29,I ate a burger for dinner.,I ate a burger for dinner.\n9195,2016/01/29,\"I talked to Piper, Eva, Avery for 18 minutes late in the evening.\",\"I talked to Piper, Eva, Avery for 18 minutes late in the evening.\"\n9196,2016/01/29,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n9197,2016/01/29,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n9198,2016/01/30,\"I went grocery shopping. I bought some blueberries, cherres, clementines, mineral water, soda, coffee, and toothpaste, toothbrush, shampoo, body lotion\",\"I went grocery shopping. I bought some blueberries, cherres, clementines, mineral water, soda, coffee, and toothpaste, toothbrush, shampoo, body lotion\"\n9199,2016/01/30,I did swimming on 2016/01/30.,I did swimming on 2016/01/30.\n9200,2016/01/30,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n9201,2016/01/30,I ate sushi for lunch.,I ate sushi for lunch.\n9202,2016/01/30,I ate sushi for dinner.,I ate sushi for dinner.\n9203,2016/01/30,I spent 22 talking to Olivia on various topics late in the evening.,I spent 22 talking to Olivia on various topics late in the evening.\n9204,2016/01/30,\"I spent 55 talking to Claire, Layla, Piper on various topics during lunch hours.\",\"I spent 55 talking to Claire, Layla, Piper on various topics during lunch hours.\"\n9205,2016/01/30,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n9206,2016/01/31,\"I had dinner with Benjamin, Willow, Jackson. I ate chinese food.\",\"I had dinner with Benjamin, Willow, Jackson. I ate chinese food.\"\n9207,2016/01/31,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n9208,2016/02/01,I did weight lifting on 2016/02/01.,I did weight lifting on 2016/02/01.\n9209,2016/02/01,I ate a burger for lunch.,I ate a burger for lunch.\n9210,2016/02/01,\"I had chinese food for dinner with Nora, Piper, Olivia, Lydia, Nevaeh, Piper, Hazel, Eva, Kinsley, Claire, Layla, Rylee\",\"I had chinese food for dinner with Nora, Piper, Olivia, Lydia, Nevaeh, Piper, Hazel, Eva, Kinsley, Claire, Layla, Rylee\"\n9211,2016/02/01,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n9212,2016/02/02,\"I bought some mandarins, peaches, apricots, chocolate milk, soda, paper towel, toothbrush online.\",\"I bought some mandarins, peaches, apricots, chocolate milk, soda, paper towel, toothbrush online.\"\n9213,2016/02/02,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n9214,2016/02/02,I talked to Avery for 30 minutes in the late afternoon.,I talked to Avery for 30 minutes in the late afternoon.\n9215,2016/02/02,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n9216,2016/02/02,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n9217,2016/02/03,\"I spent time yoga on 2016/02/03 with Avery, Willow, Jackson.\",\"I spent time yoga on 2016/02/03 with Avery, Willow, Jackson.\"\n9218,2016/02/03,I prepare a burger for lunch.,I prepare a burger for lunch.\n9219,2016/02/03,I prepare a burger for dinner.,I prepare a burger for dinner.\n9220,2016/02/03,I spent 19 talking to Kinsley on various topics in the early evening.,I spent 19 talking to Kinsley on various topics in the early evening.\n9221,2016/02/03,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n9222,2016/02/03,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n9223,2016/02/04,I did biking on 2016/02/04.,I did biking on 2016/02/04.\n9224,2016/02/04,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n9225,2016/02/04,I prepare a burger for lunch.,I prepare a burger for lunch.\n9226,2016/02/04,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n9227,2016/02/04,\"I talked to Claire, Nora, Kinsley for 54 minutes during lunch hours.\",\"I talked to Claire, Nora, Kinsley for 54 minutes during lunch hours.\"\n9228,2016/02/04,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n9229,2016/02/05,I spent time gardening on 2016/02/05 with Carter.,I spent time gardening on 2016/02/05 with Carter.\n9230,2016/02/05,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n9231,2016/02/05,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n9232,2016/02/05,\"I talked to Claire, Rylee, Hazel, Eva for 45 minutes late in the evening.\",\"I talked to Claire, Rylee, Hazel, Eva for 45 minutes late in the evening.\"\n9233,2016/02/06,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n9234,2016/02/06,I talked to Piper for 10 minutes in the late afternoon.,I talked to Piper for 10 minutes in the late afternoon.\n9235,2016/02/06,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n9236,2016/02/07,\"On 2016/02/07, I took Alexander on a date to a coffee Shop\",\"On 2016/02/07, I took Alexander on a date to a coffee Shop\"\n9237,2016/02/07,\"I went grocery shopping with Nora, Layla, Olivia, Kinsley, Hazel, Rylee, Avery, Lydia, Nevaeh, Piper, Claire, Eva, Piper. I bought some blueberries, apricots, bananas, pineapples, guava juice, chocolate milk, and toilet paper\",\"I went grocery shopping with Nora, Layla, Olivia, Kinsley, Hazel, Rylee, Avery, Lydia, Nevaeh, Piper, Claire, Eva, Piper. I bought some blueberries, apricots, bananas, pineapples, guava juice, chocolate milk, and toilet paper\"\n9238,2016/02/07,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n9239,2016/02/07,\"I had lunch with Rylee, Piper, Claire, Layla, Olivia, Nevaeh, Kinsley, Lydia, Avery, Hazel. I ate tacos.\",\"I had lunch with Rylee, Piper, Claire, Layla, Olivia, Nevaeh, Kinsley, Lydia, Avery, Hazel. I ate tacos.\"\n9240,2016/02/07,\"I talked to Piper, Kinsley for 55 minutes in the morning.\",\"I talked to Piper, Kinsley for 55 minutes in the morning.\"\n9241,2016/02/07,\"I talked to Eva, Layla, Rylee, Nora for 35 minutes in the morning.\",\"I talked to Eva, Layla, Rylee, Nora for 35 minutes in the morning.\"\n9242,2016/02/07,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n9243,2016/02/08,\"On 2016/02/08, I took Claire on a date to a coffee Shop\",\"On 2016/02/08, I took Claire on a date to a coffee Shop\"\n9244,2016/02/08,I had dinner with Emily. I ate steak.,I had dinner with Emily. I ate steak.\n9245,2016/02/08,I talked to Olivia for 31 minutes late in the evening.,I talked to Olivia for 31 minutes late in the evening.\n9246,2016/02/08,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n9247,2016/02/08,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n9248,2016/02/09,I did HIIT on 2016/02/09.,I did HIIT on 2016/02/09.\n9249,2016/02/09,\"I had lunch with Hazel, Olivia, Avery, Nevaeh, Nora, Layla, Lydia, Piper, Rylee, Eva, Claire, Kinsley, Piper. I ate tacos.\",\"I had lunch with Hazel, Olivia, Avery, Nevaeh, Nora, Layla, Lydia, Piper, Rylee, Eva, Claire, Kinsley, Piper. I ate tacos.\"\n9250,2016/02/09,I prepare a burger for dinner.,I prepare a burger for dinner.\n9251,2016/02/09,I spent 9 talking to Nevaeh on various topics in the morning.,I spent 9 talking to Nevaeh on various topics in the morning.\n9252,2016/02/09,I talked to Kinsley for 14 minutes in the early evening.,I talked to Kinsley for 14 minutes in the early evening.\n9253,2016/02/09,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n9254,2016/02/09,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n9255,2016/02/10,I did swimming on 2016/02/10.,I did swimming on 2016/02/10.\n9256,2016/02/10,\"I spent 55 talking to Rylee, Kinsley, Nevaeh, Eva on various topics during lunch hours.\",\"I spent 55 talking to Rylee, Kinsley, Nevaeh, Eva on various topics during lunch hours.\"\n9257,2016/02/10,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n9258,2016/02/11,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n9259,2016/02/12,I did HIIT on 2016/02/12.,I did HIIT on 2016/02/12.\n9260,2016/02/12,\"I had lunch with Benjamin, Jackson. I ate pasta.\",\"I had lunch with Benjamin, Jackson. I ate pasta.\"\n9261,2016/02/13,\"I went grocery shopping with Kinsley, Nevaeh, Layla, Piper, Eva, Nora, Lydia, Rylee, Avery, Hazel, Olivia, Claire, Piper. I bought some mandarins, chocolate milk, and mouthwash, facial wash\",\"I went grocery shopping with Kinsley, Nevaeh, Layla, Piper, Eva, Nora, Lydia, Rylee, Avery, Hazel, Olivia, Claire, Piper. I bought some mandarins, chocolate milk, and mouthwash, facial wash\"\n9262,2016/02/13,I did hiking on 2016/02/13.,I did hiking on 2016/02/13.\n9263,2016/02/13,I had chinese food for dinner with Jackson,I had chinese food for dinner with Jackson\n9264,2016/02/13,\"I talked to Piper, Nora, Rylee for 16 minutes in the late afternoon.\",\"I talked to Piper, Nora, Rylee for 16 minutes in the late afternoon.\"\n9265,2016/02/13,\"I spent 19 talking to Nevaeh, Layla, Kinsley on various topics during lunch hours.\",\"I spent 19 talking to Nevaeh, Layla, Kinsley on various topics during lunch hours.\"\n9266,2016/02/13,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n9267,2016/02/14,I had lunch with Avery. I ate indian food.,I had lunch with Avery. I ate indian food.\n9268,2016/02/14,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n9269,2016/02/14,\"I spent 7 talking to Nora, Piper, Claire, Layla on various topics in the early evening.\",\"I spent 7 talking to Nora, Piper, Claire, Layla on various topics in the early evening.\"\n9270,2016/02/14,\"I talked to Avery, Kinsley, Nora for 25 minutes in the early afternoon.\",\"I talked to Avery, Kinsley, Nora for 25 minutes in the early afternoon.\"\n9271,2016/02/14,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n9272,2016/02/15,\"I really enjoyed cooking naan bread, cashew chicken  on 2016/02/15 with Andrew, Carter, Emily at my place\",\"I really enjoyed cooking naan bread, cashew chicken  on 2016/02/15 with Andrew, Carter, Emily at my place\"\n9273,2016/02/15,I went on a date with Alexander on 2016/02/15 at a coffee Shop,I went on a date with Alexander on 2016/02/15 at a coffee Shop\n9274,2016/02/15,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n9275,2016/02/15,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n9276,2016/02/15,\"I spent 55 talking to Olivia, Piper on various topics in the late afternoon.\",\"I spent 55 talking to Olivia, Piper on various topics in the late afternoon.\"\n9277,2016/02/15,I spent 36 talking to Piper on various topics in the late afternoon.,I spent 36 talking to Piper on various topics in the late afternoon.\n9278,2016/02/16,I did HIIT on 2016/02/16.,I did HIIT on 2016/02/16.\n9279,2016/02/16,I spent 36 minutes reading social media today.,I spent 36 minutes reading social media today.\n9280,2016/02/17,I did biking on 2016/02/17.,I did biking on 2016/02/17.\n9281,2016/02/17,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n9282,2016/02/17,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n9283,2016/02/18,I talked to Nora for 22 minutes in the early evening.,I talked to Nora for 22 minutes in the early evening.\n9284,2016/02/18,I watched news for 16 minutes on TV today.,I watched news for 16 minutes on TV today.\n9285,2016/02/19,I did running on 2016/02/19.,I did running on 2016/02/19.\n9286,2016/02/19,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n9287,2016/02/20,I did HIIT on 2016/02/20.,I did HIIT on 2016/02/20.\n9288,2016/02/20,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n9289,2016/02/20,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n9290,2016/02/21,I did HIIT on 2016/02/21.,I did HIIT on 2016/02/21.\n9291,2016/02/21,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n9292,2016/02/21,\"I spent 26 talking to Layla, Piper on various topics in the early afternoon.\",\"I spent 26 talking to Layla, Piper on various topics in the early afternoon.\"\n9293,2016/02/21,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n9294,2016/02/23,\"I went grocery shopping with Carter. I bought some nectarines, clementines, mineral water, sports drinks, guava juice, chocolate milk, and mouthwash, toothbrush\",\"I went grocery shopping with Carter. I bought some nectarines, clementines, mineral water, sports drinks, guava juice, chocolate milk, and mouthwash, toothbrush\"\n9295,2016/02/23,I did weight lifting on 2016/02/23.,I did weight lifting on 2016/02/23.\n9296,2016/02/23,\"I talked to Olivia, Nora for 13 minutes in the morning.\",\"I talked to Olivia, Nora for 13 minutes in the morning.\"\n9297,2016/02/24,I did swimming on 2016/02/24.,I did swimming on 2016/02/24.\n9298,2016/02/24,I had dinner with Willow. I ate sandwich.,I had dinner with Willow. I ate sandwich.\n9299,2016/02/24,\"I spent 34 talking to Piper, Nevaeh, Kinsley on various topics late in the evening.\",\"I spent 34 talking to Piper, Nevaeh, Kinsley on various topics late in the evening.\"\n9300,2016/02/25,\"On 2016/02/25, I took Rylee on a date to a coffee Shop\",\"On 2016/02/25, I took Rylee on a date to a coffee Shop\"\n9301,2016/02/25,\"I had toast and cheese for breakfast with Jackson, Avery, Benjamin, Willow\",\"I had toast and cheese for breakfast with Jackson, Avery, Benjamin, Willow\"\n9302,2016/02/25,\"I spent 20 talking to Eva, Hazel, Kinsley on various topics in the late afternoon.\",\"I spent 20 talking to Eva, Hazel, Kinsley on various topics in the late afternoon.\"\n9303,2016/02/25,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n9304,2016/02/26,I really enjoyed yoga on 2016/02/26,I really enjoyed yoga on 2016/02/26\n9305,2016/02/26,I did weight lifting on 2016/02/26.,I did weight lifting on 2016/02/26.\n9306,2016/02/26,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n9307,2016/02/27,\"I bought some pineapples, mineral water, conditioner, shaving cream, mouthwash from the grocery store. I saw Andrew, Carter at the grocery store.\",\"I bought some pineapples, mineral water, conditioner, shaving cream, mouthwash from the grocery store. I saw Andrew, Carter at the grocery store.\"\n9308,2016/02/27,\"I had lunch with Carter, Emily, Kayden. I ate pasta.\",\"I had lunch with Carter, Emily, Kayden. I ate pasta.\"\n9309,2016/02/27,\"I talked to Nevaeh, Lydia, Rylee for 37 minutes late in the evening.\",\"I talked to Nevaeh, Lydia, Rylee for 37 minutes late in the evening.\"\n9310,2016/02/27,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n9311,2016/02/27,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n9312,2016/02/28,I did HIIT on 2016/02/28.,I did HIIT on 2016/02/28.\n9313,2016/02/28,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n9314,2016/02/28,I spent 28 talking to Piper on various topics in the early evening.,I spent 28 talking to Piper on various topics in the early evening.\n9315,2016/02/28,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n9316,2016/02/29,I spent 52 talking to Piper on various topics in the late afternoon.,I spent 52 talking to Piper on various topics in the late afternoon.\n9317,2016/02/29,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n9318,2016/02/29,I spent 33 minutes watching a movie on TV today.,I spent 33 minutes watching a movie on TV today.\n9319,2016/03/01,I ate sandwich for lunch.,I ate sandwich for lunch.\n9320,2016/03/01,I spent 53 talking to Hazel on various topics in the early afternoon.,I spent 53 talking to Hazel on various topics in the early afternoon.\n9321,2016/03/02,\"I bought some peaches, chocolate milk, paper towel, facial wash, toilet paper, body lotion online.\",\"I bought some peaches, chocolate milk, paper towel, facial wash, toilet paper, body lotion online.\"\n9322,2016/03/02,I had lunch. I ate steak.,I had lunch. I ate steak.\n9323,2016/03/02,\"I had a burger for dinner with Carter, Kayden\",\"I had a burger for dinner with Carter, Kayden\"\n9324,2016/03/02,\"I spent 36 talking to Piper, Rylee, Lydia on various topics in the early afternoon.\",\"I spent 36 talking to Piper, Rylee, Lydia on various topics in the early afternoon.\"\n9325,2016/03/02,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n9326,2016/03/03,I prepare pasta for lunch.,I prepare pasta for lunch.\n9327,2016/03/03,I talked to Nora for 51 minutes in the early afternoon.,I talked to Nora for 51 minutes in the early afternoon.\n9328,2016/03/03,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n9329,2016/03/03,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n9330,2016/03/04,\"On 2016/03/04, I took Charlotte on a date to a coffee Shop\",\"On 2016/03/04, I took Charlotte on a date to a coffee Shop\"\n9331,2016/03/04,I did swimming on 2016/03/04.,I did swimming on 2016/03/04.\n9332,2016/03/04,I ate sandwich for dinner.,I ate sandwich for dinner.\n9333,2016/03/04,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n9334,2016/03/05,\"I entertained Rylee at my place on 2016/03/05 and cook general tso’s chicken, contest-winning broccoli chicken casserole\",\"I entertained Rylee at my place on 2016/03/05 and cook general tso’s chicken, contest-winning broccoli chicken casserole\"\n9335,2016/03/05,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n9336,2016/03/05,\"I had tacos for dinner with Layla, Kinsley, Rylee, Hazel, Nora, Nevaeh, Piper, Eva, Lydia, Claire, Piper, Olivia\",\"I had tacos for dinner with Layla, Kinsley, Rylee, Hazel, Nora, Nevaeh, Piper, Eva, Lydia, Claire, Piper, Olivia\"\n9337,2016/03/05,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n9338,2016/03/06,I ate pasta for lunch.,I ate pasta for lunch.\n9339,2016/03/06,\"I spent 23 talking to Lydia, Layla, Hazel, Eva on various topics during lunch hours.\",\"I spent 23 talking to Lydia, Layla, Hazel, Eva on various topics during lunch hours.\"\n9340,2016/03/06,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n9341,2016/03/07,I spent some time learning a language on 2016/03/07.,I spent some time learning a language on 2016/03/07.\n9342,2016/03/07,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n9343,2016/03/07,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n9344,2016/03/07,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n9345,2016/03/08,\"I went grocery shopping with Nora, Nevaeh, Hazel, Avery, Olivia, Piper, Rylee, Lydia, Claire. I bought some clementines, mineral water, and body lotion\",\"I went grocery shopping with Nora, Nevaeh, Hazel, Avery, Olivia, Piper, Rylee, Lydia, Claire. I bought some clementines, mineral water, and body lotion\"\n9346,2016/03/08,I did HIIT on 2016/03/08.,I did HIIT on 2016/03/08.\n9347,2016/03/08,\"I talked to Avery, Olivia, Hazel, Lydia for 19 minutes in the early evening.\",\"I talked to Avery, Olivia, Hazel, Lydia for 19 minutes in the early evening.\"\n9348,2016/03/08,\"I spent 9 talking to Hazel, Eva on various topics in the early afternoon.\",\"I spent 9 talking to Hazel, Eva on various topics in the early afternoon.\"\n9349,2016/03/08,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n9350,2016/03/09,I ate chinese food for lunch.,I ate chinese food for lunch.\n9351,2016/03/09,\"I spent 6 talking to Claire, Nora, Olivia, Eva on various topics in the early afternoon.\",\"I spent 6 talking to Claire, Nora, Olivia, Eva on various topics in the early afternoon.\"\n9352,2016/03/09,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n9353,2016/03/10,I prepare tacos for dinner.,I prepare tacos for dinner.\n9354,2016/03/10,\"I spent 21 talking to Hazel, Lydia on various topics in the morning.\",\"I spent 21 talking to Hazel, Lydia on various topics in the morning.\"\n9355,2016/03/10,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n9356,2016/03/11,I went on a date with Penelope on 2016/03/11 at a coffee Shop,I went on a date with Penelope on 2016/03/11 at a coffee Shop\n9357,2016/03/11,I did swimming on 2016/03/11.,I did swimming on 2016/03/11.\n9358,2016/03/11,I ate chinese food for lunch.,I ate chinese food for lunch.\n9359,2016/03/11,\"I talked to Rylee, Nevaeh, Lydia for 41 minutes during lunch hours.\",\"I talked to Rylee, Nevaeh, Lydia for 41 minutes during lunch hours.\"\n9360,2016/03/11,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n9361,2016/03/11,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n9362,2016/03/12,\"I went grocery shopping. I bought some mangos, cherres, pears, soda, tea, guava juice, coffee, and toothbrush, toothpaste\",\"I went grocery shopping. I bought some mangos, cherres, pears, soda, tea, guava juice, coffee, and toothbrush, toothpaste\"\n9363,2016/03/12,I did hiking on 2016/03/12.,I did hiking on 2016/03/12.\n9364,2016/03/12,I ate indian food for lunch.,I ate indian food for lunch.\n9365,2016/03/12,\"I spent 50 talking to Layla, Avery, Nevaeh, Hazel on various topics during lunch hours.\",\"I spent 50 talking to Layla, Avery, Nevaeh, Hazel on various topics during lunch hours.\"\n9366,2016/03/12,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n9367,2016/03/12,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n9368,2016/03/13,I spent time learning a language on 2016/03/13 with Eva.,I spent time learning a language on 2016/03/13 with Eva.\n9369,2016/03/13,\"I had a burger for lunch with Layla, Olivia, Nora, Lydia, Piper, Kinsley, Avery, Eva, Piper, Claire, Rylee, Hazel\",\"I had a burger for lunch with Layla, Olivia, Nora, Lydia, Piper, Kinsley, Avery, Eva, Piper, Claire, Rylee, Hazel\"\n9370,2016/03/13,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n9371,2016/03/13,\"I talked to Hazel, Lydia, Eva for 49 minutes during lunch hours.\",\"I talked to Hazel, Lydia, Eva for 49 minutes during lunch hours.\"\n9372,2016/03/14,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n9373,2016/03/14,\"I had dinner with Piper, Kinsley, Rylee, Claire, Nora. I ate sushi.\",\"I had dinner with Piper, Kinsley, Rylee, Claire, Nora. I ate sushi.\"\n9374,2016/03/15,\"I went grocery shopping with Emily, Andrew. I bought some strawberries, pears, sports drinks, chocolate milk, and toothpaste\",\"I went grocery shopping with Emily, Andrew. I bought some strawberries, pears, sports drinks, chocolate milk, and toothpaste\"\n9375,2016/03/15,I did swimming on 2016/03/15.,I did swimming on 2016/03/15.\n9376,2016/03/15,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n9377,2016/03/15,I prepare a burger for dinner.,I prepare a burger for dinner.\n9378,2016/03/15,\"I talked to Olivia, Eva for 10 minutes in the late afternoon.\",\"I talked to Olivia, Eva for 10 minutes in the late afternoon.\"\n9379,2016/03/15,\"I spent 19 talking to Piper, Hazel, Claire, Layla on various topics in the early evening.\",\"I spent 19 talking to Piper, Hazel, Claire, Layla on various topics in the early evening.\"\n9380,2016/03/15,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n9381,2016/03/16,I did running on 2016/03/16.,I did running on 2016/03/16.\n9382,2016/03/17,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n9383,2016/03/17,\"I talked to Olivia, Eva, Piper for 16 minutes in the early evening.\",\"I talked to Olivia, Eva, Piper for 16 minutes in the early evening.\"\n9384,2016/03/17,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n9385,2016/03/18,I really enjoyed learning a language on 2016/03/18,I really enjoyed learning a language on 2016/03/18\n9386,2016/03/18,\"I had lunch with Avery, Benjamin. I ate sandwich.\",\"I had lunch with Avery, Benjamin. I ate sandwich.\"\n9387,2016/03/18,I prepare steak for dinner.,I prepare steak for dinner.\n9388,2016/03/18,\"I spent 17 talking to Nora, Piper on various topics in the morning.\",\"I spent 17 talking to Nora, Piper on various topics in the morning.\"\n9389,2016/03/18,\"I talked to Claire, Avery, Rylee, Hazel for 8 minutes during lunch hours.\",\"I talked to Claire, Avery, Rylee, Hazel for 8 minutes during lunch hours.\"\n9390,2016/03/18,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n9391,2016/03/18,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n9392,2016/03/19,I prepare sushi for dinner.,I prepare sushi for dinner.\n9393,2016/03/19,\"I spent 9 talking to Nora, Eva on various topics in the late afternoon.\",\"I spent 9 talking to Nora, Eva on various topics in the late afternoon.\"\n9394,2016/03/19,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n9395,2016/03/20,\"I really enjoyed baking cheater’s mini rhubarb galettes, lemon meringue cookies on 2016/03/20 with Carter, Emily, Kayden at my place\",\"I really enjoyed baking cheater’s mini rhubarb galettes, lemon meringue cookies on 2016/03/20 with Carter, Emily, Kayden at my place\"\n9396,2016/03/20,I did running on 2016/03/20.,I did running on 2016/03/20.\n9397,2016/03/20,\"I had breakfast with Avery, Benjamin, Jackson, Willow. I ate cereals.\",\"I had breakfast with Avery, Benjamin, Jackson, Willow. I ate cereals.\"\n9398,2016/03/20,\"I had lunch with Nora, Claire, Layla, Kinsley, Piper, Nevaeh, Lydia, Piper, Hazel, Avery, Rylee, Eva, Olivia. I ate chinese food.\",\"I had lunch with Nora, Claire, Layla, Kinsley, Piper, Nevaeh, Lydia, Piper, Hazel, Avery, Rylee, Eva, Olivia. I ate chinese food.\"\n9399,2016/03/20,\"I talked to Nora, Hazel, Claire, Avery for 9 minutes in the early evening.\",\"I talked to Nora, Hazel, Claire, Avery for 9 minutes in the early evening.\"\n9400,2016/03/21,I did running on 2016/03/21.,I did running on 2016/03/21.\n9401,2016/03/21,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n9402,2016/03/21,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n9403,2016/03/22,\"On 2016/03/22, I took Natalie on a date to a restaurant\",\"On 2016/03/22, I took Natalie on a date to a restaurant\"\n9404,2016/03/22,I did hiking on 2016/03/22.,I did hiking on 2016/03/22.\n9405,2016/03/22,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n9406,2016/03/22,I talked to Nevaeh for 48 minutes in the early evening.,I talked to Nevaeh for 48 minutes in the early evening.\n9407,2016/03/22,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n9408,2016/03/22,I spent 22 minutes watching a movie on TV today.,I spent 22 minutes watching a movie on TV today.\n9409,2016/03/23,\"I had dinner with Piper, Piper, Nora, Nevaeh, Rylee, Olivia, Eva, Claire, Layla, Avery, Kinsley. I ate sandwich.\",\"I had dinner with Piper, Piper, Nora, Nevaeh, Rylee, Olivia, Eva, Claire, Layla, Avery, Kinsley. I ate sandwich.\"\n9410,2016/03/23,\"I talked to Kinsley, Hazel, Layla, Lydia for 39 minutes in the late afternoon.\",\"I talked to Kinsley, Hazel, Layla, Lydia for 39 minutes in the late afternoon.\"\n9411,2016/03/24,I did swimming on 2016/03/24.,I did swimming on 2016/03/24.\n9412,2016/03/24,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n9413,2016/03/24,\"I talked to Claire, Kinsley for 55 minutes during lunch hours.\",\"I talked to Claire, Kinsley for 55 minutes during lunch hours.\"\n9414,2016/03/24,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n9415,2016/03/25,I did running on 2016/03/25.,I did running on 2016/03/25.\n9416,2016/03/25,I had lunch. I ate steak.,I had lunch. I ate steak.\n9417,2016/03/25,\"I spent 18 talking to Kinsley, Lydia, Piper on various topics in the late afternoon.\",\"I spent 18 talking to Kinsley, Lydia, Piper on various topics in the late afternoon.\"\n9418,2016/03/26,I did running on 2016/03/26.,I did running on 2016/03/26.\n9419,2016/03/26,I had breakfast with Kayden. I ate cereals.,I had breakfast with Kayden. I ate cereals.\n9420,2016/03/26,\"I had lunch with Carter, Kayden, Emily, Andrew. I ate pasta.\",\"I had lunch with Carter, Kayden, Emily, Andrew. I ate pasta.\"\n9421,2016/03/26,I spent 20 talking to Claire on various topics during lunch hours.,I spent 20 talking to Claire on various topics during lunch hours.\n9422,2016/03/26,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n9423,2016/03/26,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n9424,2016/03/27,I did biking on 2016/03/27.,I did biking on 2016/03/27.\n9425,2016/03/27,\"I had pancakes for breakfast with Avery, Benjamin, Willow, Jackson\",\"I had pancakes for breakfast with Avery, Benjamin, Willow, Jackson\"\n9426,2016/03/27,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n9427,2016/03/27,I prepare indian food for dinner.,I prepare indian food for dinner.\n9428,2016/03/27,\"I spent 8 talking to Kinsley, Olivia, Nevaeh, Piper on various topics in the late afternoon.\",\"I spent 8 talking to Kinsley, Olivia, Nevaeh, Piper on various topics in the late afternoon.\"\n9429,2016/03/27,\"I spent 22 talking to Claire, Olivia, Kinsley on various topics in the early afternoon.\",\"I spent 22 talking to Claire, Olivia, Kinsley on various topics in the early afternoon.\"\n9430,2016/03/27,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n9431,2016/03/28,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n9432,2016/03/28,\"I talked to Claire, Layla for 37 minutes late in the evening.\",\"I talked to Claire, Layla for 37 minutes late in the evening.\"\n9433,2016/03/28,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n9434,2016/03/28,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n9435,2016/03/29,I did hiking on 2016/03/29.,I did hiking on 2016/03/29.\n9436,2016/03/29,I ate cereals for breakfast.,I ate cereals for breakfast.\n9437,2016/03/29,\"I spent 7 talking to Nevaeh, Eva on various topics in the late afternoon.\",\"I spent 7 talking to Nevaeh, Eva on various topics in the late afternoon.\"\n9438,2016/03/30,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n9439,2016/03/30,\"I spent 55 talking to Eva, Layla, Olivia on various topics in the early afternoon.\",\"I spent 55 talking to Eva, Layla, Olivia on various topics in the early afternoon.\"\n9440,2016/03/30,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n9441,2016/03/30,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n9442,2016/03/31,\"I entertained Claire, Olivia at my place on 2016/03/31 and cook cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla\",\"I entertained Claire, Olivia at my place on 2016/03/31 and cook cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla\"\n9443,2016/03/31,\"On 2016/03/31, I took Rylee on a date to a coffee Shop\",\"On 2016/03/31, I took Rylee on a date to a coffee Shop\"\n9444,2016/03/31,I did biking on 2016/03/31.,I did biking on 2016/03/31.\n9445,2016/03/31,I ate a burger for lunch.,I ate a burger for lunch.\n9446,2016/03/31,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n9447,2016/03/31,\"I talked to Lydia, Nora for 21 minutes in the late afternoon.\",\"I talked to Lydia, Nora for 21 minutes in the late afternoon.\"\n9448,2016/04/01,\"I bought some pineapples, guava, bananas, milk, coffee, tea, facial wash online.\",\"I bought some pineapples, guava, bananas, milk, coffee, tea, facial wash online.\"\n9449,2016/04/01,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n9450,2016/04/01,\"I had lunch with Kayden, Andrew, Carter. I ate sandwich.\",\"I had lunch with Kayden, Andrew, Carter. I ate sandwich.\"\n9451,2016/04/01,I ate sandwich for dinner.,I ate sandwich for dinner.\n9452,2016/04/01,I spent 28 talking to Eva on various topics in the early evening.,I spent 28 talking to Eva on various topics in the early evening.\n9453,2016/04/01,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n9454,2016/04/01,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n9455,2016/04/02,I did weight lifting on 2016/04/02.,I did weight lifting on 2016/04/02.\n9456,2016/04/02,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n9457,2016/04/02,\"I had a burger for dinner with Piper, Layla, Hazel, Rylee, Lydia, Claire, Olivia, Eva, Kinsley, Nora, Avery, Nevaeh\",\"I had a burger for dinner with Piper, Layla, Hazel, Rylee, Lydia, Claire, Olivia, Eva, Kinsley, Nora, Avery, Nevaeh\"\n9458,2016/04/02,I talked to Claire for 15 minutes in the early evening.,I talked to Claire for 15 minutes in the early evening.\n9459,2016/04/02,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n9460,2016/04/02,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n9461,2016/04/03,I did biking on 2016/04/03.,I did biking on 2016/04/03.\n9462,2016/04/03,\"I had dinner with Nevaeh, Eva. I ate chinese food.\",\"I had dinner with Nevaeh, Eva. I ate chinese food.\"\n9463,2016/04/03,\"I talked to Piper, Nora, Hazel for 46 minutes in the late afternoon.\",\"I talked to Piper, Nora, Hazel for 46 minutes in the late afternoon.\"\n9464,2016/04/03,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n9465,2016/04/04,I did biking on 2016/04/04.,I did biking on 2016/04/04.\n9466,2016/04/04,\"I had breakfast with Kinsley, Rylee, Hazel, Nora, Nevaeh. I ate cereals.\",\"I had breakfast with Kinsley, Rylee, Hazel, Nora, Nevaeh. I ate cereals.\"\n9467,2016/04/04,I had lunch with Carter. I ate indian food.,I had lunch with Carter. I ate indian food.\n9468,2016/04/04,I prepare steak for dinner.,I prepare steak for dinner.\n9469,2016/04/04,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n9470,2016/04/05,I spent some time yoga on 2016/04/05.,I spent some time yoga on 2016/04/05.\n9471,2016/04/05,I did biking on 2016/04/05.,I did biking on 2016/04/05.\n9472,2016/04/05,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n9473,2016/04/05,\"I spent 22 talking to Claire, Piper, Hazel on various topics in the early afternoon.\",\"I spent 22 talking to Claire, Piper, Hazel on various topics in the early afternoon.\"\n9474,2016/04/05,\"I talked to Piper, Rylee, Nora, Layla for 27 minutes in the late afternoon.\",\"I talked to Piper, Rylee, Nora, Layla for 27 minutes in the late afternoon.\"\n9475,2016/04/06,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n9476,2016/04/06,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n9477,2016/04/06,I had indian food for dinner with Emily,I had indian food for dinner with Emily\n9478,2016/04/06,\"I spent 11 talking to Rylee, Eva on various topics during lunch hours.\",\"I spent 11 talking to Rylee, Eva on various topics during lunch hours.\"\n9479,2016/04/07,I ate steak for dinner.,I ate steak for dinner.\n9480,2016/04/07,\"I talked to Eva, Lydia for 11 minutes in the morning.\",\"I talked to Eva, Lydia for 11 minutes in the morning.\"\n9481,2016/04/08,\"I had lunch with Hazel, Lydia, Piper, Nevaeh, Layla, Eva, Avery, Claire, Nora, Kinsley, Olivia, Rylee, Piper. I ate pasta.\",\"I had lunch with Hazel, Lydia, Piper, Nevaeh, Layla, Eva, Avery, Claire, Nora, Kinsley, Olivia, Rylee, Piper. I ate pasta.\"\n9482,2016/04/08,\"I had dinner with Emily, Andrew. I ate indian food.\",\"I had dinner with Emily, Andrew. I ate indian food.\"\n9483,2016/04/08,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n9484,2016/04/09,I did HIIT on 2016/04/09.,I did HIIT on 2016/04/09.\n9485,2016/04/09,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n9486,2016/04/09,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n9487,2016/04/09,I had dinner. I ate steak.,I had dinner. I ate steak.\n9488,2016/04/09,\"I spent 48 talking to Kinsley, Lydia on various topics during lunch hours.\",\"I spent 48 talking to Kinsley, Lydia on various topics during lunch hours.\"\n9489,2016/04/09,\"I spent 17 talking to Piper, Kinsley, Hazel, Avery on various topics in the morning.\",\"I spent 17 talking to Piper, Kinsley, Hazel, Avery on various topics in the morning.\"\n9490,2016/04/10,\"I had dinner with Emily, Kayden, Andrew, Carter. I ate chinese food.\",\"I had dinner with Emily, Kayden, Andrew, Carter. I ate chinese food.\"\n9491,2016/04/10,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n9492,2016/04/11,I spent some time gardening on 2016/04/11.,I spent some time gardening on 2016/04/11.\n9493,2016/04/11,I did HIIT on 2016/04/11.,I did HIIT on 2016/04/11.\n9494,2016/04/11,I ate cereals for breakfast.,I ate cereals for breakfast.\n9495,2016/04/11,I ate sandwich for lunch.,I ate sandwich for lunch.\n9496,2016/04/11,I ate chinese food for dinner.,I ate chinese food for dinner.\n9497,2016/04/11,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n9498,2016/04/12,\"On 2016/04/12 Benjamin, Jackson, Willow and I went to Rio, Brazil together for 8 days \",\"On 2016/04/12 Benjamin, Jackson, Willow and I went to Rio, Brazil together for 8 days \"\n9499,2016/04/12,I prepare indian food for dinner.,I prepare indian food for dinner.\n9500,2016/04/12,\"I talked to Avery, Olivia for 18 minutes in the morning.\",\"I talked to Avery, Olivia for 18 minutes in the morning.\"\n9501,2016/04/13,\"During my trip to Rio, Brazil, I visited Copacabana on 2016/04 with Benjamin, Jackson, Willow.\",\"During my trip to Rio, Brazil, I visited Copacabana on 2016/04 with Benjamin, Jackson, Willow.\"\n9502,2016/04/13,\"I ate Japanese food at Bolinho de bacalhau with Benjamin, Jackson, Willow on  2016/04/13 when I was in Rio, Brazil.\",\"I ate Japanese food at Bolinho de bacalhau with Benjamin, Jackson, Willow on  2016/04/13 when I was in Rio, Brazil.\"\n9503,2016/04/13,\"I went grocery shopping with Emily. I bought some raspberries, coffee, tea, apple juice, and conditioner, toothbrush\",\"I went grocery shopping with Emily. I bought some raspberries, coffee, tea, apple juice, and conditioner, toothbrush\"\n9504,2016/04/13,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n9505,2016/04/13,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n9506,2016/04/13,\"I talked to Lydia, Claire, Kinsley for 8 minutes in the early afternoon.\",\"I talked to Lydia, Claire, Kinsley for 8 minutes in the early afternoon.\"\n9507,2016/04/13,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n9508,2016/04/13,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n9509,2016/04/14,\"During my trip to Rio, Brazil, I visited Cristo Redentor on 2016/04 with Benjamin, Jackson, Willow.\",\"During my trip to Rio, Brazil, I visited Cristo Redentor on 2016/04 with Benjamin, Jackson, Willow.\"\n9510,2016/04/14,\"I ate Italian food at Tapioca with Benjamin, Jackson, Willow on  2016/04/14 when I was in Rio, Brazil.\",\"I ate Italian food at Tapioca with Benjamin, Jackson, Willow on  2016/04/14 when I was in Rio, Brazil.\"\n9511,2016/04/14,I ate pasta for lunch.,I ate pasta for lunch.\n9512,2016/04/14,I ate sandwich for dinner.,I ate sandwich for dinner.\n9513,2016/04/14,\"I talked to Nevaeh, Hazel for 12 minutes in the early afternoon.\",\"I talked to Nevaeh, Hazel for 12 minutes in the early afternoon.\"\n9514,2016/04/15,\"During my trip to Rio, Brazil, I visited Sugarloaf on 2016/04 with Benjamin, Jackson, Willow.\",\"During my trip to Rio, Brazil, I visited Sugarloaf on 2016/04 with Benjamin, Jackson, Willow.\"\n9515,2016/04/15,\"I ate Japanese food at Bolinho de bacalhau with Benjamin, Jackson, Willow on  2016/04/15 when I was in Rio, Brazil.\",\"I ate Japanese food at Bolinho de bacalhau with Benjamin, Jackson, Willow on  2016/04/15 when I was in Rio, Brazil.\"\n9516,2016/04/15,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n9517,2016/04/15,I spent 24 minutes watching a movie on TV today.,I spent 24 minutes watching a movie on TV today.\n9518,2016/04/16,\"During my trip to Rio, Brazil, I visited Ipanema on 2016/04 with Benjamin, Jackson, Willow.\",\"During my trip to Rio, Brazil, I visited Ipanema on 2016/04 with Benjamin, Jackson, Willow.\"\n9519,2016/04/16,\"I ate Japanese food at Bolinho de bacalhau with Benjamin, Jackson, Willow on  2016/04/16 when I was in Rio, Brazil.\",\"I ate Japanese food at Bolinho de bacalhau with Benjamin, Jackson, Willow on  2016/04/16 when I was in Rio, Brazil.\"\n9520,2016/04/16,I had indian food for lunch with Kayden,I had indian food for lunch with Kayden\n9521,2016/04/16,\"I talked to Nora, Rylee, Claire, Olivia for 22 minutes in the early afternoon.\",\"I talked to Nora, Rylee, Claire, Olivia for 22 minutes in the early afternoon.\"\n9522,2016/04/17,\"During my trip to Rio, Brazil, I visited Carnaval on 2016/04 with Benjamin, Jackson, Willow.\",\"During my trip to Rio, Brazil, I visited Carnaval on 2016/04 with Benjamin, Jackson, Willow.\"\n9523,2016/04/17,\"I ate Japanese food at Tapioca with Benjamin, Jackson, Willow on  2016/04/17 when I was in Rio, Brazil.\",\"I ate Japanese food at Tapioca with Benjamin, Jackson, Willow on  2016/04/17 when I was in Rio, Brazil.\"\n9524,2016/04/17,\"I bought some cherres, apricots, guava juice, orange juice, coffee, toothpaste online.\",\"I bought some cherres, apricots, guava juice, orange juice, coffee, toothpaste online.\"\n9525,2016/04/17,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n9526,2016/04/18,\"I ate Italian food at Pão de queijo with Benjamin, Jackson, Willow on  2016/04/18 when I was in Rio, Brazil.\",\"I ate Italian food at Pão de queijo with Benjamin, Jackson, Willow on  2016/04/18 when I was in Rio, Brazil.\"\n9527,2016/04/18,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n9528,2016/04/18,I ate steak for lunch.,I ate steak for lunch.\n9529,2016/04/18,\"I talked to Eva, Kinsley for 22 minutes late in the evening.\",\"I talked to Eva, Kinsley for 22 minutes late in the evening.\"\n9530,2016/04/18,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n9531,2016/04/18,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n9532,2016/04/19,\"I ate Chinese food at Bolinho de bacalhau with Benjamin, Jackson, Willow on  2016/04/19 when I was in Rio, Brazil.\",\"I ate Chinese food at Bolinho de bacalhau with Benjamin, Jackson, Willow on  2016/04/19 when I was in Rio, Brazil.\"\n9533,2016/04/19,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n9534,2016/04/19,I talked to Kinsley for 51 minutes during lunch hours.,I talked to Kinsley for 51 minutes during lunch hours.\n9535,2016/04/19,\"I spent 30 talking to Layla, Avery, Piper on various topics in the early evening.\",\"I spent 30 talking to Layla, Avery, Piper on various topics in the early evening.\"\n9536,2016/04/19,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n9537,2016/04/19,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n9538,2016/04/20,\"I ate Indian food at Pão de queijo with Benjamin, Jackson, Willow on  2016/04/20 when I was in Rio, Brazil.\",\"I ate Indian food at Pão de queijo with Benjamin, Jackson, Willow on  2016/04/20 when I was in Rio, Brazil.\"\n9539,2016/04/20,\"I had cereals for breakfast with Kayden, Carter, Andrew\",\"I had cereals for breakfast with Kayden, Carter, Andrew\"\n9540,2016/04/20,\"I spent 7 talking to Claire, Nevaeh on various topics in the morning.\",\"I spent 7 talking to Claire, Nevaeh on various topics in the morning.\"\n9541,2016/04/21,I ate cereals for breakfast.,I ate cereals for breakfast.\n9542,2016/04/21,I ate pasta for lunch.,I ate pasta for lunch.\n9543,2016/04/21,\"I talked to Nora, Rylee for 8 minutes during lunch hours.\",\"I talked to Nora, Rylee for 8 minutes during lunch hours.\"\n9544,2016/04/21,I spent 19 minutes watching a documentary on TV today.,I spent 19 minutes watching a documentary on TV today.\n9545,2016/04/22,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n9546,2016/04/22,\"I had indian food for dinner with Kinsley, Lydia, Piper, Nevaeh, Hazel, Rylee, Layla, Avery, Nora, Olivia, Piper, Claire, Eva\",\"I had indian food for dinner with Kinsley, Lydia, Piper, Nevaeh, Hazel, Rylee, Layla, Avery, Nora, Olivia, Piper, Claire, Eva\"\n9547,2016/04/22,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n9548,2016/04/22,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n9549,2016/04/23,I did swimming on 2016/04/23.,I did swimming on 2016/04/23.\n9550,2016/04/23,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n9551,2016/04/23,I ate chinese food for lunch.,I ate chinese food for lunch.\n9552,2016/04/23,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n9553,2016/04/23,I spent 16 talking to Layla on various topics in the early evening.,I spent 16 talking to Layla on various topics in the early evening.\n9554,2016/04/23,\"I spent 8 talking to Nevaeh, Piper on various topics late in the evening.\",\"I spent 8 talking to Nevaeh, Piper on various topics late in the evening.\"\n9555,2016/04/23,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n9556,2016/04/24,I did swimming on 2016/04/24.,I did swimming on 2016/04/24.\n9557,2016/04/24,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n9558,2016/04/24,I talked to Piper for 43 minutes in the morning.,I talked to Piper for 43 minutes in the morning.\n9559,2016/04/24,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n9560,2016/04/25,\"I had toast and cheese for breakfast with Carter, Andrew, Emily, Kayden\",\"I had toast and cheese for breakfast with Carter, Andrew, Emily, Kayden\"\n9561,2016/04/25,I talked to Piper for 41 minutes in the early evening.,I talked to Piper for 41 minutes in the early evening.\n9562,2016/04/25,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n9563,2016/04/26,I took my parents for their for an annual physical checkup on 2016/04/26 at the private clinic.,I took my parents for their for an annual physical checkup on 2016/04/26 at the private clinic.\n9564,2016/04/26,\"I was baking brown sugar-pear puff pastries on 2016/04/26 with Emily, Kayden, Carter, Andrew at my place\",\"I was baking brown sugar-pear puff pastries on 2016/04/26 with Emily, Kayden, Carter, Andrew at my place\"\n9565,2016/04/26,I did weight lifting on 2016/04/26.,I did weight lifting on 2016/04/26.\n9566,2016/04/26,\"I had dinner with Jackson, Benjamin. I ate sushi.\",\"I had dinner with Jackson, Benjamin. I ate sushi.\"\n9567,2016/04/26,\"I spent 11 talking to Claire, Layla, Eva, Hazel on various topics in the morning.\",\"I spent 11 talking to Claire, Layla, Eva, Hazel on various topics in the morning.\"\n9568,2016/04/26,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n9569,2016/04/27,I did weight lifting on 2016/04/27.,I did weight lifting on 2016/04/27.\n9570,2016/04/27,\"I had breakfast with Andrew, Emily. I ate cereals.\",\"I had breakfast with Andrew, Emily. I ate cereals.\"\n9571,2016/04/27,I ate sushi for lunch.,I ate sushi for lunch.\n9572,2016/04/27,I spent 9 talking to Eva on various topics in the early evening.,I spent 9 talking to Eva on various topics in the early evening.\n9573,2016/04/27,\"I talked to Rylee, Piper, Claire for 9 minutes late in the evening.\",\"I talked to Rylee, Piper, Claire for 9 minutes late in the evening.\"\n9574,2016/04/27,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n9575,2016/04/27,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n9576,2016/04/28,I did hiking on 2016/04/28.,I did hiking on 2016/04/28.\n9577,2016/04/28,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n9578,2016/04/28,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n9579,2016/04/29,\"On 2016/04/29, I took Maya on a date to a boba shop\",\"On 2016/04/29, I took Maya on a date to a boba shop\"\n9580,2016/04/29,I did hiking on 2016/04/29.,I did hiking on 2016/04/29.\n9581,2016/04/29,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n9582,2016/04/29,\"I talked to Eva, Nora, Nevaeh, Claire for 23 minutes in the late afternoon.\",\"I talked to Eva, Nora, Nevaeh, Claire for 23 minutes in the late afternoon.\"\n9583,2016/04/30,I did biking on 2016/04/30.,I did biking on 2016/04/30.\n9584,2016/04/30,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n9585,2016/04/30,\"I talked to Layla, Piper, Rylee for 17 minutes in the late afternoon.\",\"I talked to Layla, Piper, Rylee for 17 minutes in the late afternoon.\"\n9586,2016/04/30,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n9587,2016/04/30,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n9588,2016/05/01,\"I was baking easy peanut butter fudge, giant cinnamon roll on 2016/05/01 with Andrew, Kayden, Carter at my place\",\"I was baking easy peanut butter fudge, giant cinnamon roll on 2016/05/01 with Andrew, Kayden, Carter at my place\"\n9589,2016/05/01,\"I had breakfast with Nora, Piper, Lydia, Nevaeh. I ate oatmeal.\",\"I had breakfast with Nora, Piper, Lydia, Nevaeh. I ate oatmeal.\"\n9590,2016/05/01,\"I had chinese food for lunch with Eva, Hazel, Piper, Claire, Avery, Piper, Nevaeh, Lydia\",\"I had chinese food for lunch with Eva, Hazel, Piper, Claire, Avery, Piper, Nevaeh, Lydia\"\n9591,2016/05/01,I ate indian food for dinner.,I ate indian food for dinner.\n9592,2016/05/01,I spent 24 talking to Nora on various topics during lunch hours.,I spent 24 talking to Nora on various topics during lunch hours.\n9593,2016/05/01,\"I spent 47 talking to Piper, Eva on various topics in the early afternoon.\",\"I spent 47 talking to Piper, Eva on various topics in the early afternoon.\"\n9594,2016/05/01,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n9595,2016/05/02,I really enjoyed gardening on 2016/05/02,I really enjoyed gardening on 2016/05/02\n9596,2016/05/02,I did hiking on 2016/05/02.,I did hiking on 2016/05/02.\n9597,2016/05/02,I had dinner with Carter. I ate chinese food.,I had dinner with Carter. I ate chinese food.\n9598,2016/05/02,I spent 24 minutes watching a documentary on TV today.,I spent 24 minutes watching a documentary on TV today.\n9599,2016/05/03,I prepare a burger for lunch.,I prepare a burger for lunch.\n9600,2016/05/03,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n9601,2016/05/03,I spent 24 talking to Piper on various topics in the early afternoon.,I spent 24 talking to Piper on various topics in the early afternoon.\n9602,2016/05/03,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n9603,2016/05/04,\"I spent 25 talking to Avery, Eva, Rylee on various topics in the early evening.\",\"I spent 25 talking to Avery, Eva, Rylee on various topics in the early evening.\"\n9604,2016/05/04,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n9605,2016/05/05,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n9606,2016/05/05,I prepare tacos for dinner.,I prepare tacos for dinner.\n9607,2016/05/05,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n9608,2016/05/05,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n9609,2016/05/06,I went for an annual physical checkup on 2016/05/06 at the university hospital.,I went for an annual physical checkup on 2016/05/06 at the university hospital.\n9610,2016/05/06,\"I spent time working out on 2016/05/06 with Andrew, Emily.\",\"I spent time working out on 2016/05/06 with Andrew, Emily.\"\n9611,2016/05/06,I did HIIT on 2016/05/06.,I did HIIT on 2016/05/06.\n9612,2016/05/06,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n9613,2016/05/06,\"I had dinner with Avery, Layla, Rylee, Kinsley, Piper, Piper, Nevaeh, Nora, Lydia. I ate sandwich.\",\"I had dinner with Avery, Layla, Rylee, Kinsley, Piper, Piper, Nevaeh, Nora, Lydia. I ate sandwich.\"\n9614,2016/05/06,\"I talked to Piper, Lydia, Piper, Nevaeh for 22 minutes in the early afternoon.\",\"I talked to Piper, Lydia, Piper, Nevaeh for 22 minutes in the early afternoon.\"\n9615,2016/05/06,I spent 23 talking to Olivia on various topics in the early evening.,I spent 23 talking to Olivia on various topics in the early evening.\n9616,2016/05/06,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n9617,2016/05/06,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n9618,2016/05/07,I did weight lifting on 2016/05/07.,I did weight lifting on 2016/05/07.\n9619,2016/05/07,I ate cereals for breakfast.,I ate cereals for breakfast.\n9620,2016/05/08,I did swimming on 2016/05/08.,I did swimming on 2016/05/08.\n9621,2016/05/08,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n9622,2016/05/08,I ate pasta for dinner.,I ate pasta for dinner.\n9623,2016/05/08,\"I spent 40 talking to Eva, Olivia on various topics in the morning.\",\"I spent 40 talking to Eva, Olivia on various topics in the morning.\"\n9624,2016/05/08,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n9625,2016/05/09,I did biking on 2016/05/09.,I did biking on 2016/05/09.\n9626,2016/05/09,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n9627,2016/05/10,I did swimming on 2016/05/10.,I did swimming on 2016/05/10.\n9628,2016/05/10,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n9629,2016/05/11,I did running on 2016/05/11.,I did running on 2016/05/11.\n9630,2016/05/11,\"I had indian food for lunch with Hazel, Kinsley, Olivia, Nora, Lydia, Nevaeh\",\"I had indian food for lunch with Hazel, Kinsley, Olivia, Nora, Lydia, Nevaeh\"\n9631,2016/05/11,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n9632,2016/05/11,\"I spent 46 talking to Hazel, Avery on various topics in the early evening.\",\"I spent 46 talking to Hazel, Avery on various topics in the early evening.\"\n9633,2016/05/11,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n9634,2016/05/12,I did swimming on 2016/05/12.,I did swimming on 2016/05/12.\n9635,2016/05/12,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n9636,2016/05/12,\"I had steak for lunch with Andrew, Carter, Emily, Kayden\",\"I had steak for lunch with Andrew, Carter, Emily, Kayden\"\n9637,2016/05/12,I ate pasta for dinner.,I ate pasta for dinner.\n9638,2016/05/12,\"I talked to Rylee, Nevaeh, Avery for 5 minutes in the late afternoon.\",\"I talked to Rylee, Nevaeh, Avery for 5 minutes in the late afternoon.\"\n9639,2016/05/12,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n9640,2016/05/13,I did weight lifting on 2016/05/13.,I did weight lifting on 2016/05/13.\n9641,2016/05/13,\"I talked to Avery, Nora, Rylee, Claire for 10 minutes late in the evening.\",\"I talked to Avery, Nora, Rylee, Claire for 10 minutes late in the evening.\"\n9642,2016/05/13,\"I spent 5 talking to Nora, Rylee on various topics in the morning.\",\"I spent 5 talking to Nora, Rylee on various topics in the morning.\"\n9643,2016/05/13,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n9644,2016/05/14,I did biking on 2016/05/14.,I did biking on 2016/05/14.\n9645,2016/05/14,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n9646,2016/05/14,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n9647,2016/05/14,I talked to Olivia for 24 minutes during lunch hours.,I talked to Olivia for 24 minutes during lunch hours.\n9648,2016/05/14,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n9649,2016/05/15,I did running on 2016/05/15.,I did running on 2016/05/15.\n9650,2016/05/15,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n9651,2016/05/15,\"I spent 19 talking to Piper, Rylee, Nevaeh on various topics in the morning.\",\"I spent 19 talking to Piper, Rylee, Nevaeh on various topics in the morning.\"\n9652,2016/05/16,I really enjoyed baking fig tarte tatin on 2016/05/16 with Avery at my place,I really enjoyed baking fig tarte tatin on 2016/05/16 with Avery at my place\n9653,2016/05/16,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n9654,2016/05/16,I ate sushi for dinner.,I ate sushi for dinner.\n9655,2016/05/16,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n9656,2016/05/17,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n9657,2016/05/17,I ate indian food for dinner.,I ate indian food for dinner.\n9658,2016/05/17,\"I spent 55 talking to Nora, Piper, Avery on various topics late in the evening.\",\"I spent 55 talking to Nora, Piper, Avery on various topics late in the evening.\"\n9659,2016/05/17,\"I spent 54 talking to Avery, Hazel, Nora on various topics in the morning.\",\"I spent 54 talking to Avery, Hazel, Nora on various topics in the morning.\"\n9660,2016/05/17,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n9661,2016/05/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n9662,2016/05/18,\"I had a burger for lunch with Benjamin, Willow, Avery, Jackson\",\"I had a burger for lunch with Benjamin, Willow, Avery, Jackson\"\n9663,2016/05/18,\"I spent 13 talking to Kinsley, Piper, Nevaeh, Eva on various topics in the early afternoon.\",\"I spent 13 talking to Kinsley, Piper, Nevaeh, Eva on various topics in the early afternoon.\"\n9664,2016/05/18,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n9665,2016/05/18,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n9666,2016/05/19,\"I went grocery shopping with Avery, Willow, Benjamin, Jackson. I bought some cherres, guava, bananas, apple juice, mineral water, and toothpaste, paper towel, toilet paper, toothbrush\",\"I went grocery shopping with Avery, Willow, Benjamin, Jackson. I bought some cherres, guava, bananas, apple juice, mineral water, and toothpaste, paper towel, toilet paper, toothbrush\"\n9667,2016/05/19,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n9668,2016/05/19,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n9669,2016/05/20,I went on a date with Xavier on 2016/05/20 at a boba shop,I went on a date with Xavier on 2016/05/20 at a boba shop\n9670,2016/05/21,\"I spent time working out on 2016/05/21 with Kayden, Andrew, Emily.\",\"I spent time working out on 2016/05/21 with Kayden, Andrew, Emily.\"\n9671,2016/05/21,I did running on 2016/05/21.,I did running on 2016/05/21.\n9672,2016/05/21,\"I had eggs, sausages, and bread for breakfast with Emily\",\"I had eggs, sausages, and bread for breakfast with Emily\"\n9673,2016/05/21,\"I had lunch with Avery, Benjamin, Willow, Jackson. I ate steak.\",\"I had lunch with Avery, Benjamin, Willow, Jackson. I ate steak.\"\n9674,2016/05/21,\"I had pasta for dinner with Emily, Andrew, Carter\",\"I had pasta for dinner with Emily, Andrew, Carter\"\n9675,2016/05/21,\"I spent 32 talking to Rylee, Nora, Olivia, Hazel on various topics during lunch hours.\",\"I spent 32 talking to Rylee, Nora, Olivia, Hazel on various topics during lunch hours.\"\n9676,2016/05/21,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n9677,2016/05/22,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n9678,2016/05/22,\"I spent 37 talking to Hazel, Piper, Nevaeh, Olivia on various topics in the early afternoon.\",\"I spent 37 talking to Hazel, Piper, Nevaeh, Olivia on various topics in the early afternoon.\"\n9679,2016/05/23,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n9680,2016/05/23,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n9681,2016/05/24,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n9682,2016/05/24,I ate steak for dinner.,I ate steak for dinner.\n9683,2016/05/24,I spent 29 talking to Lydia on various topics in the early afternoon.,I spent 29 talking to Lydia on various topics in the early afternoon.\n9684,2016/05/24,\"I spent 53 talking to Avery, Eva on various topics in the late afternoon.\",\"I spent 53 talking to Avery, Eva on various topics in the late afternoon.\"\n9685,2016/05/24,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n9686,2016/05/25,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n9687,2016/05/26,\"On 2016/05/26, I took Jordan on a date to a coffee Shop\",\"On 2016/05/26, I took Jordan on a date to a coffee Shop\"\n9688,2016/05/26,\"I went grocery shopping. I bought some blackberries, guava, blueberries, mandarins, milk, and body lotion\",\"I went grocery shopping. I bought some blackberries, guava, blueberries, mandarins, milk, and body lotion\"\n9689,2016/05/26,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n9690,2016/05/26,I spent 18 talking to Rylee on various topics late in the evening.,I spent 18 talking to Rylee on various topics late in the evening.\n9691,2016/05/26,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n9692,2016/05/26,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n9693,2016/05/27,\"I bought some nectarines, pears, guava, mineral water, chocolate milk, conditioner, toilet paper, facial wash, shaving cream from the grocery store. I saw Willow, Benjamin at the grocery store.\",\"I bought some nectarines, pears, guava, mineral water, chocolate milk, conditioner, toilet paper, facial wash, shaving cream from the grocery store. I saw Willow, Benjamin at the grocery store.\"\n9694,2016/05/27,\"I had eggs, sausages, and bread for breakfast with Eva, Kinsley, Avery, Nevaeh, Claire, Lydia, Piper, Olivia, Rylee, Nora, Piper, Layla, Hazel\",\"I had eggs, sausages, and bread for breakfast with Eva, Kinsley, Avery, Nevaeh, Claire, Lydia, Piper, Olivia, Rylee, Nora, Piper, Layla, Hazel\"\n9695,2016/05/27,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n9696,2016/05/28,I did running on 2016/05/28.,I did running on 2016/05/28.\n9697,2016/05/28,\"I had lunch with Claire, Olivia. I ate fish and chips.\",\"I had lunch with Claire, Olivia. I ate fish and chips.\"\n9698,2016/05/28,\"I had indian food for dinner with Emily, Carter, Kayden\",\"I had indian food for dinner with Emily, Carter, Kayden\"\n9699,2016/05/28,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n9700,2016/05/29,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n9701,2016/05/29,\"I spent 6 talking to Eva, Lydia on various topics during lunch hours.\",\"I spent 6 talking to Eva, Lydia on various topics during lunch hours.\"\n9702,2016/05/29,\"I talked to Claire, Piper for 38 minutes in the morning.\",\"I talked to Claire, Piper for 38 minutes in the morning.\"\n9703,2016/05/29,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n9704,2016/05/30,\"I spent time gardening on 2016/05/30 with Carter, Emily.\",\"I spent time gardening on 2016/05/30 with Carter, Emily.\"\n9705,2016/05/30,I did biking on 2016/05/30.,I did biking on 2016/05/30.\n9706,2016/05/30,\"I had breakfast with Andrew, Emily, Kayden. I ate oatmeal.\",\"I had breakfast with Andrew, Emily, Kayden. I ate oatmeal.\"\n9707,2016/05/30,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n9708,2016/05/30,\"I talked to Hazel, Avery, Lydia for 44 minutes in the early evening.\",\"I talked to Hazel, Avery, Lydia for 44 minutes in the early evening.\"\n9709,2016/05/31,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n9710,2016/05/31,\"I talked to Rylee, Eva for 13 minutes in the early afternoon.\",\"I talked to Rylee, Eva for 13 minutes in the early afternoon.\"\n9711,2016/06/01,\"I bought some bananas, cherres, oranges, blackberries, mineral water, milk, orange juice, tea, toothbrush online.\",\"I bought some bananas, cherres, oranges, blackberries, mineral water, milk, orange juice, tea, toothbrush online.\"\n9712,2016/06/01,I did hiking on 2016/06/01.,I did hiking on 2016/06/01.\n9713,2016/06/01,\"I had dinner with Kinsley, Avery, Claire, Piper, Rylee, Nora, Lydia, Nevaeh, Eva, Layla. I ate pasta.\",\"I had dinner with Kinsley, Avery, Claire, Piper, Rylee, Nora, Lydia, Nevaeh, Eva, Layla. I ate pasta.\"\n9714,2016/06/01,\"I spent 31 talking to Nora, Claire, Eva on various topics in the late afternoon.\",\"I spent 31 talking to Nora, Claire, Eva on various topics in the late afternoon.\"\n9715,2016/06/01,I talked to Nora for 5 minutes in the early evening.,I talked to Nora for 5 minutes in the early evening.\n9716,2016/06/01,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n9717,2016/06/01,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n9718,2016/06/02,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n9719,2016/06/02,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n9720,2016/06/02,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n9721,2016/06/03,\"I had pancakes for breakfast with Carter, Emily\",\"I had pancakes for breakfast with Carter, Emily\"\n9722,2016/06/03,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n9723,2016/06/03,I talked to Nora for 42 minutes in the early afternoon.,I talked to Nora for 42 minutes in the early afternoon.\n9724,2016/06/03,I spent 51 talking to Piper on various topics in the early afternoon.,I spent 51 talking to Piper on various topics in the early afternoon.\n9725,2016/06/03,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n9726,2016/06/04,I went on a date with Aaron on 2016/06/04 at a park,I went on a date with Aaron on 2016/06/04 at a park\n9727,2016/06/04,I did hiking on 2016/06/04.,I did hiking on 2016/06/04.\n9728,2016/06/04,I prepare indian food for dinner.,I prepare indian food for dinner.\n9729,2016/06/04,I spent 33 talking to Hazel on various topics in the early afternoon.,I spent 33 talking to Hazel on various topics in the early afternoon.\n9730,2016/06/05,I did running on 2016/06/05.,I did running on 2016/06/05.\n9731,2016/06/05,I talked to Piper for 47 minutes in the morning.,I talked to Piper for 47 minutes in the morning.\n9732,2016/06/05,I watched a documentary for 48 minutes on TV today.,I watched a documentary for 48 minutes on TV today.\n9733,2016/06/06,\"I had pancakes for breakfast with Benjamin, Jackson, Avery, Willow\",\"I had pancakes for breakfast with Benjamin, Jackson, Avery, Willow\"\n9734,2016/06/06,I ate chinese food for dinner.,I ate chinese food for dinner.\n9735,2016/06/06,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n9736,2016/06/06,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n9737,2016/06/07,I really enjoyed working out on 2016/06/07,I really enjoyed working out on 2016/06/07\n9738,2016/06/07,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n9739,2016/06/07,\"I had a burger for lunch with Avery, Layla, Olivia, Piper, Piper, Nora, Kinsley, Nevaeh, Rylee, Claire, Lydia, Eva\",\"I had a burger for lunch with Avery, Layla, Olivia, Piper, Piper, Nora, Kinsley, Nevaeh, Rylee, Claire, Lydia, Eva\"\n9740,2016/06/07,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n9741,2016/06/08,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n9742,2016/06/08,I ate indian food for dinner.,I ate indian food for dinner.\n9743,2016/06/08,\"I spent 37 talking to Rylee, Lydia on various topics in the early evening.\",\"I spent 37 talking to Rylee, Lydia on various topics in the early evening.\"\n9744,2016/06/09,I prepare pasta for dinner.,I prepare pasta for dinner.\n9745,2016/06/09,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n9746,2016/06/09,I spent 46 minutes watching a movie on TV today.,I spent 46 minutes watching a movie on TV today.\n9747,2016/06/10,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n9748,2016/06/10,\"I had lunch with Emily, Kayden, Carter. I ate tacos.\",\"I had lunch with Emily, Kayden, Carter. I ate tacos.\"\n9749,2016/06/10,\"I spent 42 talking to Kinsley, Lydia, Rylee on various topics late in the evening.\",\"I spent 42 talking to Kinsley, Lydia, Rylee on various topics late in the evening.\"\n9750,2016/06/11,I did swimming on 2016/06/11.,I did swimming on 2016/06/11.\n9751,2016/06/11,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n9752,2016/06/11,I ate pasta for dinner.,I ate pasta for dinner.\n9753,2016/06/11,\"I talked to Kinsley, Rylee for 47 minutes in the early evening.\",\"I talked to Kinsley, Rylee for 47 minutes in the early evening.\"\n9754,2016/06/12,I did running on 2016/06/12.,I did running on 2016/06/12.\n9755,2016/06/12,I prepare pasta for dinner.,I prepare pasta for dinner.\n9756,2016/06/12,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n9757,2016/06/13,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n9758,2016/06/13,I spent 10 talking to Layla on various topics in the morning.,I spent 10 talking to Layla on various topics in the morning.\n9759,2016/06/13,\"I talked to Olivia, Avery, Rylee, Hazel for 26 minutes in the late afternoon.\",\"I talked to Olivia, Avery, Rylee, Hazel for 26 minutes in the late afternoon.\"\n9760,2016/06/13,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n9761,2016/06/13,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n9762,2016/06/14,\"On 2016/06/14, I took Leilani on a date to a restaurant\",\"On 2016/06/14, I took Leilani on a date to a restaurant\"\n9763,2016/06/14,\"I had lunch with Andrew, Carter, Emily. I ate steak.\",\"I had lunch with Andrew, Carter, Emily. I ate steak.\"\n9764,2016/06/14,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n9765,2016/06/14,\"I talked to Hazel, Claire for 48 minutes in the morning.\",\"I talked to Hazel, Claire for 48 minutes in the morning.\"\n9766,2016/06/14,\"I spent 49 talking to Layla, Eva, Nevaeh, Piper on various topics in the morning.\",\"I spent 49 talking to Layla, Eva, Nevaeh, Piper on various topics in the morning.\"\n9767,2016/06/15,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n9768,2016/06/15,\"I talked to Nevaeh, Kinsley for 40 minutes in the early evening.\",\"I talked to Nevaeh, Kinsley for 40 minutes in the early evening.\"\n9769,2016/06/15,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n9770,2016/06/16,\"I had breakfast with Kayden, Andrew. I ate toast and cheese.\",\"I had breakfast with Kayden, Andrew. I ate toast and cheese.\"\n9771,2016/06/16,\"I had sandwich for lunch with Benjamin, Willow, Avery, Jackson\",\"I had sandwich for lunch with Benjamin, Willow, Avery, Jackson\"\n9772,2016/06/16,\"I had dinner with Olivia, Layla, Nevaeh, Lydia, Piper, Kinsley, Eva, Claire, Rylee, Avery. I ate sandwich.\",\"I had dinner with Olivia, Layla, Nevaeh, Lydia, Piper, Kinsley, Eva, Claire, Rylee, Avery. I ate sandwich.\"\n9773,2016/06/16,\"I spent 41 talking to Avery, Nevaeh, Layla on various topics in the late afternoon.\",\"I spent 41 talking to Avery, Nevaeh, Layla on various topics in the late afternoon.\"\n9774,2016/06/16,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n9775,2016/06/17,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n9776,2016/06/17,\"I talked to Hazel, Lydia for 38 minutes late in the evening.\",\"I talked to Hazel, Lydia for 38 minutes late in the evening.\"\n9777,2016/06/17,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n9778,2016/06/18,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n9779,2016/06/18,\"I had dinner with Willow, Avery. I ate sandwich.\",\"I had dinner with Willow, Avery. I ate sandwich.\"\n9780,2016/06/18,I talked to Nevaeh for 23 minutes late in the evening.,I talked to Nevaeh for 23 minutes late in the evening.\n9781,2016/06/19,I did biking on 2016/06/19.,I did biking on 2016/06/19.\n9782,2016/06/19,\"I had breakfast with Piper, Claire, Eva, Olivia, Nevaeh, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Piper, Claire, Eva, Olivia, Nevaeh, Avery. I ate peanut-butter-jam.\"\n9783,2016/06/19,I prepare pasta for lunch.,I prepare pasta for lunch.\n9784,2016/06/19,I talked to Olivia for 27 minutes during lunch hours.,I talked to Olivia for 27 minutes during lunch hours.\n9785,2016/06/20,\"On 2016/06/20, I took Camila on a date to a coffee Shop\",\"On 2016/06/20, I took Camila on a date to a coffee Shop\"\n9786,2016/06/20,I did hiking on 2016/06/20.,I did hiking on 2016/06/20.\n9787,2016/06/20,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n9788,2016/06/20,\"I had steak for dinner with Carter, Kayden\",\"I had steak for dinner with Carter, Kayden\"\n9789,2016/06/20,\"I spent 25 talking to Eva, Nora, Piper, Avery on various topics in the early evening.\",\"I spent 25 talking to Eva, Nora, Piper, Avery on various topics in the early evening.\"\n9790,2016/06/20,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n9791,2016/06/21,\"I bought some nectarines, pears, raspberries, apricots, mineral water, mango juice, orange juice, soda, body lotion, mouth wash online.\",\"I bought some nectarines, pears, raspberries, apricots, mineral water, mango juice, orange juice, soda, body lotion, mouth wash online.\"\n9792,2016/06/21,\"I had lunch with Emily, Carter, Andrew. I ate a burger.\",\"I had lunch with Emily, Carter, Andrew. I ate a burger.\"\n9793,2016/06/21,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n9794,2016/06/22,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n9795,2016/06/22,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n9796,2016/06/22,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n9797,2016/06/22,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n9798,2016/06/23,I did weight lifting on 2016/06/23.,I did weight lifting on 2016/06/23.\n9799,2016/06/23,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n9800,2016/06/23,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n9801,2016/06/24,\"On 2016/06/24, I took Jordan on a date to a boba shop\",\"On 2016/06/24, I took Jordan on a date to a boba shop\"\n9802,2016/06/24,I did hiking on 2016/06/24.,I did hiking on 2016/06/24.\n9803,2016/06/24,I talked to Hazel for 16 minutes in the early afternoon.,I talked to Hazel for 16 minutes in the early afternoon.\n9804,2016/06/25,\"I had eggs, sausages, and bread for breakfast with Eva, Lydia\",\"I had eggs, sausages, and bread for breakfast with Eva, Lydia\"\n9805,2016/06/25,I prepare steak for lunch.,I prepare steak for lunch.\n9806,2016/06/25,I had pasta for dinner with Kayden,I had pasta for dinner with Kayden\n9807,2016/06/25,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n9808,2016/06/25,I watched a documentary for 55 minutes on TV today.,I watched a documentary for 55 minutes on TV today.\n9809,2016/06/26,I did HIIT on 2016/06/26.,I did HIIT on 2016/06/26.\n9810,2016/06/26,\"I had eggs, sausages, and bread for breakfast with Eva, Avery, Layla, Piper, Lydia, Nevaeh, Rylee\",\"I had eggs, sausages, and bread for breakfast with Eva, Avery, Layla, Piper, Lydia, Nevaeh, Rylee\"\n9811,2016/06/26,I ate pasta for lunch.,I ate pasta for lunch.\n9812,2016/06/26,I had a burger for dinner with Kayden,I had a burger for dinner with Kayden\n9813,2016/06/27,I spent some time meditation on 2016/06/27.,I spent some time meditation on 2016/06/27.\n9814,2016/06/27,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n9815,2016/06/27,\"I had dinner with Carter, Kayden, Emily. I ate steak.\",\"I had dinner with Carter, Kayden, Emily. I ate steak.\"\n9816,2016/06/27,\"I talked to Lydia, Piper for 37 minutes late in the evening.\",\"I talked to Lydia, Piper for 37 minutes late in the evening.\"\n9817,2016/06/27,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n9818,2016/06/28,\"On 2016/06/28, I took Scarlett on a date to a coffee Shop\",\"On 2016/06/28, I took Scarlett on a date to a coffee Shop\"\n9819,2016/06/28,\"I bought some pineapples, mangos, oranges, mandarins, mango juice, mineral water, toilet paper, body lotion, toothpaste online.\",\"I bought some pineapples, mangos, oranges, mandarins, mango juice, mineral water, toilet paper, body lotion, toothpaste online.\"\n9820,2016/06/28,I did biking on 2016/06/28.,I did biking on 2016/06/28.\n9821,2016/06/28,I had a burger for lunch with Emily,I had a burger for lunch with Emily\n9822,2016/06/28,I had dinner. I ate steak.,I had dinner. I ate steak.\n9823,2016/06/28,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n9824,2016/06/29,\"I entertained Emily, Carter, Andrew at my place on 2016/06/29 and cook chinese chicken wings, healthy turkey chili\",\"I entertained Emily, Carter, Andrew at my place on 2016/06/29 and cook chinese chicken wings, healthy turkey chili\"\n9825,2016/06/29,I prepare sushi for lunch.,I prepare sushi for lunch.\n9826,2016/06/29,I had tacos for dinner with Kayden,I had tacos for dinner with Kayden\n9827,2016/06/29,\"I talked to Piper, Layla, Avery, Kinsley for 18 minutes during lunch hours.\",\"I talked to Piper, Layla, Avery, Kinsley for 18 minutes during lunch hours.\"\n9828,2016/06/29,\"I spent 23 talking to Claire, Olivia, Piper on various topics during lunch hours.\",\"I spent 23 talking to Claire, Olivia, Piper on various topics during lunch hours.\"\n9829,2016/06/29,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n9830,2016/06/30,I did weight lifting on 2016/06/30.,I did weight lifting on 2016/06/30.\n9831,2016/06/30,I watched a tv series for 18 minutes on TV today.,I watched a tv series for 18 minutes on TV today.\n9832,2016/07/01,I did biking on 2016/07/01.,I did biking on 2016/07/01.\n9833,2016/07/01,I ate sandwich for dinner.,I ate sandwich for dinner.\n9834,2016/07/01,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n9835,2016/07/02,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n9836,2016/07/02,\"I had dinner with Andrew, Emily, Carter. I ate chinese food.\",\"I had dinner with Andrew, Emily, Carter. I ate chinese food.\"\n9837,2016/07/02,\"I talked to Lydia, Rylee, Piper, Layla for 5 minutes in the morning.\",\"I talked to Lydia, Rylee, Piper, Layla for 5 minutes in the morning.\"\n9838,2016/07/03,I did hiking on 2016/07/03.,I did hiking on 2016/07/03.\n9839,2016/07/03,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n9840,2016/07/03,\"I had fish and chips for lunch with Claire, Eva, Piper, Avery, Lydia, Kinsley, Hazel, Layla\",\"I had fish and chips for lunch with Claire, Eva, Piper, Avery, Lydia, Kinsley, Hazel, Layla\"\n9841,2016/07/03,\"I talked to Rylee, Lydia, Layla, Avery for 12 minutes during lunch hours.\",\"I talked to Rylee, Lydia, Layla, Avery for 12 minutes during lunch hours.\"\n9842,2016/07/04,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n9843,2016/07/04,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n9844,2016/07/04,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n9845,2016/07/05,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n9846,2016/07/05,\"I talked to Layla, Hazel for 33 minutes in the late afternoon.\",\"I talked to Layla, Hazel for 33 minutes in the late afternoon.\"\n9847,2016/07/05,\"I spent 24 talking to Nora, Rylee, Eva on various topics in the early evening.\",\"I spent 24 talking to Nora, Rylee, Eva on various topics in the early evening.\"\n9848,2016/07/05,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n9849,2016/07/06,\"On 2016/07/06, I took Ian on a date to a boba shop\",\"On 2016/07/06, I took Ian on a date to a boba shop\"\n9850,2016/07/06,I really enjoyed learning a language on 2016/07/06,I really enjoyed learning a language on 2016/07/06\n9851,2016/07/06,\"I bought some clementines, orange juice, chocolate milk, mango juice, apple juice, toothpaste from the grocery store. I saw Andrew, Carter at the grocery store.\",\"I bought some clementines, orange juice, chocolate milk, mango juice, apple juice, toothpaste from the grocery store. I saw Andrew, Carter at the grocery store.\"\n9852,2016/07/06,I had toast and cheese for breakfast with Kayden,I had toast and cheese for breakfast with Kayden\n9853,2016/07/06,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n9854,2016/07/06,\"I had dinner with Emily, Andrew. I ate a burger.\",\"I had dinner with Emily, Andrew. I ate a burger.\"\n9855,2016/07/06,I spent 40 talking to Piper on various topics in the late afternoon.,I spent 40 talking to Piper on various topics in the late afternoon.\n9856,2016/07/06,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n9857,2016/07/07,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n9858,2016/07/07,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n9859,2016/07/07,I spent 10 talking to Kinsley on various topics in the early evening.,I spent 10 talking to Kinsley on various topics in the early evening.\n9860,2016/07/07,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n9861,2016/07/07,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n9862,2016/07/08,I ate sandwich for lunch.,I ate sandwich for lunch.\n9863,2016/07/08,\"I talked to Piper, Lydia for 19 minutes in the early evening.\",\"I talked to Piper, Lydia for 19 minutes in the early evening.\"\n9864,2016/07/08,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n9865,2016/07/09,\"I was baking brownies, birthday cupcakes with white wine buttercream on 2016/07/09 with Hazel, Layla at my place\",\"I was baking brownies, birthday cupcakes with white wine buttercream on 2016/07/09 with Hazel, Layla at my place\"\n9866,2016/07/09,\"I had lunch with Carter, Andrew. I ate sandwich.\",\"I had lunch with Carter, Andrew. I ate sandwich.\"\n9867,2016/07/09,I prepare tacos for dinner.,I prepare tacos for dinner.\n9868,2016/07/09,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n9869,2016/07/09,I watched a documentary for 49 minutes on TV today.,I watched a documentary for 49 minutes on TV today.\n9870,2016/07/10,I spent some time gardening on 2016/07/10.,I spent some time gardening on 2016/07/10.\n9871,2016/07/10,I did HIIT on 2016/07/10.,I did HIIT on 2016/07/10.\n9872,2016/07/10,I had oatmeal for breakfast with Willow,I had oatmeal for breakfast with Willow\n9873,2016/07/10,I had dinner with Kayden. I ate chinese food.,I had dinner with Kayden. I ate chinese food.\n9874,2016/07/10,\"I talked to Nevaeh, Nora, Olivia for 47 minutes in the late afternoon.\",\"I talked to Nevaeh, Nora, Olivia for 47 minutes in the late afternoon.\"\n9875,2016/07/11,\"I really enjoyed baking easy cherry skillet cake on 2016/07/11 with Olivia, Piper, Avery at my place\",\"I really enjoyed baking easy cherry skillet cake on 2016/07/11 with Olivia, Piper, Avery at my place\"\n9876,2016/07/11,I went on a date with Naomi on 2016/07/11 at a restaurant,I went on a date with Naomi on 2016/07/11 at a restaurant\n9877,2016/07/11,I did swimming on 2016/07/11.,I did swimming on 2016/07/11.\n9878,2016/07/11,\"I had lunch with Emily, Kayden, Carter, Andrew. I ate steak.\",\"I had lunch with Emily, Kayden, Carter, Andrew. I ate steak.\"\n9879,2016/07/11,\"I had dinner with Avery, Layla, Piper, Lydia, Olivia. I ate a burger.\",\"I had dinner with Avery, Layla, Piper, Lydia, Olivia. I ate a burger.\"\n9880,2016/07/11,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n9881,2016/07/12,I did HIIT on 2016/07/12.,I did HIIT on 2016/07/12.\n9882,2016/07/12,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n9883,2016/07/12,\"I spent 7 talking to Piper, Kinsley on various topics in the late afternoon.\",\"I spent 7 talking to Piper, Kinsley on various topics in the late afternoon.\"\n9884,2016/07/12,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n9885,2016/07/12,I spent 18 minutes watching a movie on TV today.,I spent 18 minutes watching a movie on TV today.\n9886,2016/07/13,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n9887,2016/07/13,I spent 6 minutes on social media today.,I spent 6 minutes on social media today.\n9888,2016/07/13,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n9889,2016/07/14,\"I went grocery shopping. I bought some strawberries, sports drinks, coffee, and paper towel, toothbrush\",\"I went grocery shopping. I bought some strawberries, sports drinks, coffee, and paper towel, toothbrush\"\n9890,2016/07/14,I did hiking on 2016/07/14.,I did hiking on 2016/07/14.\n9891,2016/07/14,I had breakfast with Jackson. I ate peanut-butter-jam.,I had breakfast with Jackson. I ate peanut-butter-jam.\n9892,2016/07/14,I had dinner with Kayden. I ate chinese food.,I had dinner with Kayden. I ate chinese food.\n9893,2016/07/14,\"I spent 6 talking to Eva, Rylee on various topics in the morning.\",\"I spent 6 talking to Eva, Rylee on various topics in the morning.\"\n9894,2016/07/14,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n9895,2016/07/15,\"I bought some blueberries, apples, raspberries, mandarins, milk, conditioner, mouth wash, shaving cream, shampoo from the grocery store. I saw Andrew, Emily, Kayden at the grocery store.\",\"I bought some blueberries, apples, raspberries, mandarins, milk, conditioner, mouth wash, shaving cream, shampoo from the grocery store. I saw Andrew, Emily, Kayden at the grocery store.\"\n9896,2016/07/15,I did swimming on 2016/07/15.,I did swimming on 2016/07/15.\n9897,2016/07/15,\"I spent 37 talking to Layla, Nevaeh, Lydia on various topics during lunch hours.\",\"I spent 37 talking to Layla, Nevaeh, Lydia on various topics during lunch hours.\"\n9898,2016/07/15,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n9899,2016/07/16,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n9900,2016/07/16,I had lunch with Carter. I ate chinese food.,I had lunch with Carter. I ate chinese food.\n9901,2016/07/16,\"I had dinner with Carter, Emily, Kayden, Andrew. I ate tacos.\",\"I had dinner with Carter, Emily, Kayden, Andrew. I ate tacos.\"\n9902,2016/07/16,I talked to Eva for 14 minutes during lunch hours.,I talked to Eva for 14 minutes during lunch hours.\n9903,2016/07/16,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n9904,2016/07/17,\"I had pancakes for breakfast with Andrew, Kayden, Emily\",\"I had pancakes for breakfast with Andrew, Kayden, Emily\"\n9905,2016/07/17,\"I spent 54 talking to Piper, Hazel, Avery, Nevaeh on various topics in the early afternoon.\",\"I spent 54 talking to Piper, Hazel, Avery, Nevaeh on various topics in the early afternoon.\"\n9906,2016/07/17,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n9907,2016/07/17,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n9908,2016/07/18,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n9909,2016/07/18,I had lunch with Carter. I ate sushi.,I had lunch with Carter. I ate sushi.\n9910,2016/07/18,\"I talked to Olivia, Lydia for 23 minutes in the early afternoon.\",\"I talked to Olivia, Lydia for 23 minutes in the early afternoon.\"\n9911,2016/07/18,\"I spent 55 talking to Hazel, Kinsley on various topics in the late afternoon.\",\"I spent 55 talking to Hazel, Kinsley on various topics in the late afternoon.\"\n9912,2016/07/18,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n9913,2016/07/18,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n9914,2016/07/19,\"I bought some peaches, blueberries, apples, raspberries, orange juice, apple juice, shaving cream, paper towel, toothpaste, toilet paper online.\",\"I bought some peaches, blueberries, apples, raspberries, orange juice, apple juice, shaving cream, paper towel, toothpaste, toilet paper online.\"\n9915,2016/07/19,I did swimming on 2016/07/19.,I did swimming on 2016/07/19.\n9916,2016/07/19,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n9917,2016/07/19,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n9918,2016/07/20,I did weight lifting on 2016/07/20.,I did weight lifting on 2016/07/20.\n9919,2016/07/20,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n9920,2016/07/20,I ate a burger for lunch.,I ate a burger for lunch.\n9921,2016/07/20,I prepare sushi for dinner.,I prepare sushi for dinner.\n9922,2016/07/20,\"I spent 37 talking to Olivia, Nevaeh, Layla, Rylee on various topics in the late afternoon.\",\"I spent 37 talking to Olivia, Nevaeh, Layla, Rylee on various topics in the late afternoon.\"\n9923,2016/07/21,I did biking on 2016/07/21.,I did biking on 2016/07/21.\n9924,2016/07/21,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n9925,2016/07/21,I spent 41 talking to Piper on various topics in the morning.,I spent 41 talking to Piper on various topics in the morning.\n9926,2016/07/21,\"I spent 50 talking to Piper, Avery, Lydia, Eva on various topics in the early evening.\",\"I spent 50 talking to Piper, Avery, Lydia, Eva on various topics in the early evening.\"\n9927,2016/07/21,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n9928,2016/07/22,I did HIIT on 2016/07/22.,I did HIIT on 2016/07/22.\n9929,2016/07/22,\"I talked to Kinsley, Piper for 19 minutes in the morning.\",\"I talked to Kinsley, Piper for 19 minutes in the morning.\"\n9930,2016/07/22,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n9931,2016/07/23,I spent some time gardening on 2016/07/23.,I spent some time gardening on 2016/07/23.\n9932,2016/07/23,\"I bought some raspberries, peaches, watermelons, coffee, mouth wash online.\",\"I bought some raspberries, peaches, watermelons, coffee, mouth wash online.\"\n9933,2016/07/23,I did weight lifting on 2016/07/23.,I did weight lifting on 2016/07/23.\n9934,2016/07/23,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n9935,2016/07/23,I ate pasta for dinner.,I ate pasta for dinner.\n9936,2016/07/23,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n9937,2016/07/23,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n9938,2016/07/24,\"I entertained Piper, Nora, Rylee, Olivia at my place on 2016/07/24 and cook crockpot spareribs, cheesy ham chowder, instant pot whole chicken\",\"I entertained Piper, Nora, Rylee, Olivia at my place on 2016/07/24 and cook crockpot spareribs, cheesy ham chowder, instant pot whole chicken\"\n9939,2016/07/24,I went on a date with Elena on 2016/07/24 at a boba shop,I went on a date with Elena on 2016/07/24 at a boba shop\n9940,2016/07/24,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n9941,2016/07/24,\"I spent 51 talking to Claire, Piper on various topics in the morning.\",\"I spent 51 talking to Claire, Piper on various topics in the morning.\"\n9942,2016/07/24,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n9943,2016/07/25,I did running on 2016/07/25.,I did running on 2016/07/25.\n9944,2016/07/25,I had lunch with Carter. I ate pasta.,I had lunch with Carter. I ate pasta.\n9945,2016/07/25,I prepare steak for dinner.,I prepare steak for dinner.\n9946,2016/07/25,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n9947,2016/07/26,I did biking on 2016/07/26.,I did biking on 2016/07/26.\n9948,2016/07/26,\"I had sandwich for lunch with Emily, Kayden, Andrew\",\"I had sandwich for lunch with Emily, Kayden, Andrew\"\n9949,2016/07/26,\"I spent 20 talking to Piper, Piper on various topics in the morning.\",\"I spent 20 talking to Piper, Piper on various topics in the morning.\"\n9950,2016/07/26,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n9951,2016/07/28,\"I went grocery shopping with Nevaeh, Eva, Kinsley, Hazel, Nora, Claire, Rylee, Olivia, Lydia, Layla, Piper. I bought some apples, pineapple juice, milk, chocolate milk, mango juice, and facial wash\",\"I went grocery shopping with Nevaeh, Eva, Kinsley, Hazel, Nora, Claire, Rylee, Olivia, Lydia, Layla, Piper. I bought some apples, pineapple juice, milk, chocolate milk, mango juice, and facial wash\"\n9952,2016/07/28,\"I had pancakes for breakfast with Willow, Jackson\",\"I had pancakes for breakfast with Willow, Jackson\"\n9953,2016/07/28,\"I had lunch with Emily, Carter, Kayden, Andrew. I ate sandwich.\",\"I had lunch with Emily, Carter, Kayden, Andrew. I ate sandwich.\"\n9954,2016/07/28,\"I had dinner with Carter, Andrew, Emily, Kayden. I ate indian food.\",\"I had dinner with Carter, Andrew, Emily, Kayden. I ate indian food.\"\n9955,2016/07/28,\"I talked to Layla, Lydia, Kinsley for 39 minutes in the early evening.\",\"I talked to Layla, Lydia, Kinsley for 39 minutes in the early evening.\"\n9956,2016/07/28,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n9957,2016/07/29,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n9958,2016/07/29,I had dinner with Jackson. I ate chinese food.,I had dinner with Jackson. I ate chinese food.\n9959,2016/07/29,I talked to Nora for 53 minutes in the late afternoon.,I talked to Nora for 53 minutes in the late afternoon.\n9960,2016/07/29,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n9961,2016/07/30,I did swimming on 2016/07/30.,I did swimming on 2016/07/30.\n9962,2016/07/30,\"I had lunch with Eva, Kinsley, Lydia, Olivia, Layla, Nevaeh, Rylee, Claire, Piper, Hazel, Piper. I ate sandwich.\",\"I had lunch with Eva, Kinsley, Lydia, Olivia, Layla, Nevaeh, Rylee, Claire, Piper, Hazel, Piper. I ate sandwich.\"\n9963,2016/07/31,\"I bought some mandarins, chocolate milk, mango juice, soda, toilet paper online.\",\"I bought some mandarins, chocolate milk, mango juice, soda, toilet paper online.\"\n9964,2016/07/31,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n9965,2016/07/31,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n9966,2016/07/31,\"I talked to Lydia, Piper for 25 minutes in the early afternoon.\",\"I talked to Lydia, Piper for 25 minutes in the early afternoon.\"\n9967,2016/07/31,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n9968,2016/07/31,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n9969,2016/08/01,I did swimming on 2016/08/01.,I did swimming on 2016/08/01.\n9970,2016/08/01,I ate cereals for breakfast.,I ate cereals for breakfast.\n9971,2016/08/01,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n9972,2016/08/01,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n9973,2016/08/01,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n9974,2016/08/02,\"I had pasta for lunch with Carter, Andrew, Kayden\",\"I had pasta for lunch with Carter, Andrew, Kayden\"\n9975,2016/08/02,\"I talked to Lydia, Eva, Nevaeh, Avery for 31 minutes in the late afternoon.\",\"I talked to Lydia, Eva, Nevaeh, Avery for 31 minutes in the late afternoon.\"\n9976,2016/08/02,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n9977,2016/08/02,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n9978,2016/08/03,\"I bought some mangos, milk, orange juice, toothbrush from the grocery store. I saw Andrew, Kayden, Emily at the grocery store.\",\"I bought some mangos, milk, orange juice, toothbrush from the grocery store. I saw Andrew, Kayden, Emily at the grocery store.\"\n9979,2016/08/03,\"I had breakfast with Carter, Kayden. I ate pancakes.\",\"I had breakfast with Carter, Kayden. I ate pancakes.\"\n9980,2016/08/03,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n9981,2016/08/03,I ate chinese food for dinner.,I ate chinese food for dinner.\n9982,2016/08/03,I talked to Claire for 48 minutes in the early evening.,I talked to Claire for 48 minutes in the early evening.\n9983,2016/08/03,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n9984,2016/08/04,I ate a burger for lunch.,I ate a burger for lunch.\n9985,2016/08/04,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n9986,2016/08/05,\"I had dinner with Kayden, Carter, Andrew. I ate a burger.\",\"I had dinner with Kayden, Carter, Andrew. I ate a burger.\"\n9987,2016/08/05,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n9988,2016/08/06,\"I had sushi for lunch with Eva, Olivia, Kinsley, Lydia, Claire, Nevaeh, Hazel, Nora, Avery, Piper\",\"I had sushi for lunch with Eva, Olivia, Kinsley, Lydia, Claire, Nevaeh, Hazel, Nora, Avery, Piper\"\n9989,2016/08/06,I spent 47 talking to Layla on various topics late in the evening.,I spent 47 talking to Layla on various topics late in the evening.\n9990,2016/08/07,I did HIIT on 2016/08/07.,I did HIIT on 2016/08/07.\n9991,2016/08/07,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n9992,2016/08/07,I ate sandwich for lunch.,I ate sandwich for lunch.\n9993,2016/08/07,\"I spent 45 talking to Piper, Piper on various topics late in the evening.\",\"I spent 45 talking to Piper, Piper on various topics late in the evening.\"\n9994,2016/08/07,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n9995,2016/08/08,\"I really enjoyed baking easy peanut butter fudge, blackberry-raspberry skillet cobbler, brown sugar-pear puff pastries on 2016/08/08 with Avery, Lydia, Piper, Eva at my place\",\"I really enjoyed baking easy peanut butter fudge, blackberry-raspberry skillet cobbler, brown sugar-pear puff pastries on 2016/08/08 with Avery, Lydia, Piper, Eva at my place\"\n9996,2016/08/08,\"I went grocery shopping. I bought some guava, blueberries, apple juice, mineral water, coffee, orange juice, and shaving cream, mouth wash, body lotion, toothbrush\",\"I went grocery shopping. I bought some guava, blueberries, apple juice, mineral water, coffee, orange juice, and shaving cream, mouth wash, body lotion, toothbrush\"\n9997,2016/08/08,I did weight lifting on 2016/08/08.,I did weight lifting on 2016/08/08.\n9998,2016/08/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n9999,2016/08/08,\"I spent 26 talking to Eva, Avery, Layla on various topics during lunch hours.\",\"I spent 26 talking to Eva, Avery, Layla on various topics during lunch hours.\"\n10000,2016/08/08,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n10001,2016/08/09,I did biking on 2016/08/09.,I did biking on 2016/08/09.\n10002,2016/08/09,\"I had lunch with Carter, Emily, Kayden. I ate tacos.\",\"I had lunch with Carter, Emily, Kayden. I ate tacos.\"\n10003,2016/08/09,I prepare pasta for dinner.,I prepare pasta for dinner.\n10004,2016/08/09,\"I talked to Kinsley, Rylee for 24 minutes late in the evening.\",\"I talked to Kinsley, Rylee for 24 minutes late in the evening.\"\n10005,2016/08/09,I spent 32 talking to Hazel on various topics during lunch hours.,I spent 32 talking to Hazel on various topics during lunch hours.\n10006,2016/08/09,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n10007,2016/08/10,\"I had breakfast with Kinsley, Claire, Eva, Nevaeh, Piper, Piper, Hazel, Rylee, Nora, Lydia. I ate eggs, sausages, and bread.\",\"I had breakfast with Kinsley, Claire, Eva, Nevaeh, Piper, Piper, Hazel, Rylee, Nora, Lydia. I ate eggs, sausages, and bread.\"\n10008,2016/08/10,\"I spent 53 talking to Piper, Hazel, Layla, Rylee on various topics during lunch hours.\",\"I spent 53 talking to Piper, Hazel, Layla, Rylee on various topics during lunch hours.\"\n10009,2016/08/10,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n10010,2016/08/10,I spent 30 minutes watching a tv series on TV today.,I spent 30 minutes watching a tv series on TV today.\n10011,2016/08/11,I did biking on 2016/08/11.,I did biking on 2016/08/11.\n10012,2016/08/11,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n10013,2016/08/11,\"I spent 18 talking to Piper, Nora, Rylee on various topics during lunch hours.\",\"I spent 18 talking to Piper, Nora, Rylee on various topics during lunch hours.\"\n10014,2016/08/11,\"I talked to Nora, Piper, Eva, Piper for 36 minutes in the early evening.\",\"I talked to Nora, Piper, Eva, Piper for 36 minutes in the early evening.\"\n10015,2016/08/11,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n10016,2016/08/11,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n10017,2016/08/12,I did swimming on 2016/08/12.,I did swimming on 2016/08/12.\n10018,2016/08/12,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n10019,2016/08/12,\"I spent 14 talking to Piper, Avery on various topics late in the evening.\",\"I spent 14 talking to Piper, Avery on various topics late in the evening.\"\n10020,2016/08/12,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n10021,2016/08/12,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n10022,2016/08/13,\"I had lunch with Kayden, Carter. I ate chinese food.\",\"I had lunch with Kayden, Carter. I ate chinese food.\"\n10023,2016/08/13,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n10024,2016/08/13,\"I spent 55 talking to Piper, Claire, Rylee on various topics in the early afternoon.\",\"I spent 55 talking to Piper, Claire, Rylee on various topics in the early afternoon.\"\n10025,2016/08/13,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n10026,2016/08/14,\"I had fish and chips for lunch with Jackson, Willow, Avery, Benjamin\",\"I had fish and chips for lunch with Jackson, Willow, Avery, Benjamin\"\n10027,2016/08/15,\"On 2016/08/15, I took Elena on a date to a park\",\"On 2016/08/15, I took Elena on a date to a park\"\n10028,2016/08/15,I spent some time meditation on 2016/08/15.,I spent some time meditation on 2016/08/15.\n10029,2016/08/15,\"I went grocery shopping with Emily, Carter, Andrew, Kayden. I bought some apples, mineral water, guava juice, and mouthwash, facial wash, shaving cream\",\"I went grocery shopping with Emily, Carter, Andrew, Kayden. I bought some apples, mineral water, guava juice, and mouthwash, facial wash, shaving cream\"\n10030,2016/08/15,\"I had breakfast with Avery, Claire, Eva, Layla, Kinsley, Hazel, Piper, Olivia, Nora, Rylee. I ate toast and cheese.\",\"I had breakfast with Avery, Claire, Eva, Layla, Kinsley, Hazel, Piper, Olivia, Nora, Rylee. I ate toast and cheese.\"\n10031,2016/08/15,\"I talked to Avery, Lydia for 53 minutes in the morning.\",\"I talked to Avery, Lydia for 53 minutes in the morning.\"\n10032,2016/08/15,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n10033,2016/08/16,I did HIIT on 2016/08/16.,I did HIIT on 2016/08/16.\n10034,2016/08/16,\"I had sushi for lunch with Willow, Benjamin\",\"I had sushi for lunch with Willow, Benjamin\"\n10035,2016/08/16,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n10036,2016/08/16,I watched a tv series for 51 minutes on TV today.,I watched a tv series for 51 minutes on TV today.\n10037,2016/08/17,I did swimming on 2016/08/17.,I did swimming on 2016/08/17.\n10038,2016/08/17,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n10039,2016/08/17,I watched a movie for 8 minutes on TV today.,I watched a movie for 8 minutes on TV today.\n10040,2016/08/18,I did weight lifting on 2016/08/18.,I did weight lifting on 2016/08/18.\n10041,2016/08/18,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n10042,2016/08/18,\"I spent 31 talking to Nora, Claire, Avery, Lydia on various topics in the late afternoon.\",\"I spent 31 talking to Nora, Claire, Avery, Lydia on various topics in the late afternoon.\"\n10043,2016/08/18,\"I talked to Nevaeh, Layla for 37 minutes during lunch hours.\",\"I talked to Nevaeh, Layla for 37 minutes during lunch hours.\"\n10044,2016/08/18,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n10045,2016/08/19,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n10046,2016/08/19,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n10047,2016/08/19,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n10048,2016/08/19,\"I spent 31 talking to Nora, Lydia, Hazel, Avery on various topics during lunch hours.\",\"I spent 31 talking to Nora, Lydia, Hazel, Avery on various topics during lunch hours.\"\n10049,2016/08/19,\"I spent 46 talking to Nevaeh, Olivia, Nora on various topics in the late afternoon.\",\"I spent 46 talking to Nevaeh, Olivia, Nora on various topics in the late afternoon.\"\n10050,2016/08/19,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n10051,2016/08/20,I did HIIT on 2016/08/20.,I did HIIT on 2016/08/20.\n10052,2016/08/20,\"I spent 28 talking to Layla, Avery on various topics late in the evening.\",\"I spent 28 talking to Layla, Avery on various topics late in the evening.\"\n10053,2016/08/21,I did HIIT on 2016/08/21.,I did HIIT on 2016/08/21.\n10054,2016/08/21,I prepare indian food for lunch.,I prepare indian food for lunch.\n10055,2016/08/21,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n10056,2016/08/21,I spent 17 minutes watching news on TV today.,I spent 17 minutes watching news on TV today.\n10057,2016/08/22,I did hiking on 2016/08/22.,I did hiking on 2016/08/22.\n10058,2016/08/22,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n10059,2016/08/22,\"I had pasta for dinner with Benjamin, Avery\",\"I had pasta for dinner with Benjamin, Avery\"\n10060,2016/08/22,I spent 32 talking to Rylee on various topics in the late afternoon.,I spent 32 talking to Rylee on various topics in the late afternoon.\n10061,2016/08/22,I spent 40 talking to Lydia on various topics in the early afternoon.,I spent 40 talking to Lydia on various topics in the early afternoon.\n10062,2016/08/22,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n10063,2016/08/23,I spent time learning a language on 2016/08/23 with Carter.,I spent time learning a language on 2016/08/23 with Carter.\n10064,2016/08/23,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n10065,2016/08/23,I prepare tacos for dinner.,I prepare tacos for dinner.\n10066,2016/08/23,\"I talked to Eva, Nora, Nevaeh, Lydia for 24 minutes during lunch hours.\",\"I talked to Eva, Nora, Nevaeh, Lydia for 24 minutes during lunch hours.\"\n10067,2016/08/23,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n10068,2016/08/23,I watched news for 5 minutes on TV today.,I watched news for 5 minutes on TV today.\n10069,2016/08/24,I did HIIT on 2016/08/24.,I did HIIT on 2016/08/24.\n10070,2016/08/24,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n10071,2016/08/24,\"I had sushi for lunch with Carter, Andrew\",\"I had sushi for lunch with Carter, Andrew\"\n10072,2016/08/24,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n10073,2016/08/25,I did HIIT on 2016/08/25.,I did HIIT on 2016/08/25.\n10074,2016/08/26,I did weight lifting on 2016/08/26.,I did weight lifting on 2016/08/26.\n10075,2016/08/26,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n10076,2016/08/26,\"I spent 24 talking to Eva, Olivia, Nevaeh on various topics during lunch hours.\",\"I spent 24 talking to Eva, Olivia, Nevaeh on various topics during lunch hours.\"\n10077,2016/08/26,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n10078,2016/08/27,\"I talked to Kinsley, Lydia, Piper, Layla for 47 minutes late in the evening.\",\"I talked to Kinsley, Lydia, Piper, Layla for 47 minutes late in the evening.\"\n10079,2016/08/27,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n10080,2016/08/27,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n10081,2016/08/28,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n10082,2016/08/28,\"I spent 18 talking to Avery, Nevaeh, Kinsley, Piper on various topics late in the evening.\",\"I spent 18 talking to Avery, Nevaeh, Kinsley, Piper on various topics late in the evening.\"\n10083,2016/08/28,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n10084,2016/08/28,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n10085,2016/08/29,I did swimming on 2016/08/29.,I did swimming on 2016/08/29.\n10086,2016/08/29,\"I had pancakes for breakfast with Carter, Andrew\",\"I had pancakes for breakfast with Carter, Andrew\"\n10087,2016/08/29,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n10088,2016/08/29,I prepare indian food for dinner.,I prepare indian food for dinner.\n10089,2016/08/29,\"I spent 8 talking to Layla, Avery, Kinsley on various topics during lunch hours.\",\"I spent 8 talking to Layla, Avery, Kinsley on various topics during lunch hours.\"\n10090,2016/08/29,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n10091,2016/08/29,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n10092,2016/08/30,I went on a date with Cooper on 2016/08/30 at a park,I went on a date with Cooper on 2016/08/30 at a park\n10093,2016/08/30,\"I went grocery shopping with Emily. I bought some pineapples, apples, pineapple juice, sports drinks, milk, coffee, and conditioner\",\"I went grocery shopping with Emily. I bought some pineapples, apples, pineapple juice, sports drinks, milk, coffee, and conditioner\"\n10094,2016/08/30,I did hiking on 2016/08/30.,I did hiking on 2016/08/30.\n10095,2016/08/30,\"I had breakfast with Andrew, Emily. I ate toast and cheese.\",\"I had breakfast with Andrew, Emily. I ate toast and cheese.\"\n10096,2016/08/30,\"I had fish and chips for lunch with Olivia, Hazel, Piper, Eva, Nevaeh, Piper, Claire, Nora, Layla, Avery, Rylee, Kinsley, Lydia\",\"I had fish and chips for lunch with Olivia, Hazel, Piper, Eva, Nevaeh, Piper, Claire, Nora, Layla, Avery, Rylee, Kinsley, Lydia\"\n10097,2016/08/30,I prepare sushi for dinner.,I prepare sushi for dinner.\n10098,2016/08/30,\"I spent 46 talking to Avery, Piper on various topics late in the evening.\",\"I spent 46 talking to Avery, Piper on various topics late in the evening.\"\n10099,2016/08/30,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n10100,2016/08/30,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n10101,2016/08/31,I did swimming on 2016/08/31.,I did swimming on 2016/08/31.\n10102,2016/08/31,\"I had breakfast with Avery, Nora, Piper, Hazel, Lydia, Kinsley, Eva, Claire, Olivia, Rylee, Piper, Layla, Nevaeh. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Nora, Piper, Hazel, Lydia, Kinsley, Eva, Claire, Olivia, Rylee, Piper, Layla, Nevaeh. I ate eggs, sausages, and bread.\"\n10103,2016/08/31,I talked to Olivia for 35 minutes in the morning.,I talked to Olivia for 35 minutes in the morning.\n10104,2016/08/31,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n10105,2016/08/31,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n10106,2016/09/01,I ate pasta for dinner.,I ate pasta for dinner.\n10107,2016/09/01,\"I talked to Claire, Piper, Nora, Piper for 9 minutes during lunch hours.\",\"I talked to Claire, Piper, Nora, Piper for 9 minutes during lunch hours.\"\n10108,2016/09/02,I had fish and chips for dinner with Andrew,I had fish and chips for dinner with Andrew\n10109,2016/09/02,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n10110,2016/09/03,\"I bought some raspberries, mango juice, apple juice, shaving cream, paper towel, conditioner, mouthwash online.\",\"I bought some raspberries, mango juice, apple juice, shaving cream, paper towel, conditioner, mouthwash online.\"\n10111,2016/09/03,I did running on 2016/09/03.,I did running on 2016/09/03.\n10112,2016/09/03,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n10113,2016/09/03,I prepare sushi for lunch.,I prepare sushi for lunch.\n10114,2016/09/03,I spent 49 talking to Layla on various topics in the early afternoon.,I spent 49 talking to Layla on various topics in the early afternoon.\n10115,2016/09/03,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n10116,2016/09/03,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n10117,2016/09/04,I did swimming on 2016/09/04.,I did swimming on 2016/09/04.\n10118,2016/09/04,I had dinner. I ate steak.,I had dinner. I ate steak.\n10119,2016/09/04,\"I talked to Layla, Eva for 14 minutes in the early afternoon.\",\"I talked to Layla, Eva for 14 minutes in the early afternoon.\"\n10120,2016/09/04,I spent 41 minutes watching a documentary on TV today.,I spent 41 minutes watching a documentary on TV today.\n10121,2016/09/05,I went on a date with Naomi on 2016/09/05 at a park,I went on a date with Naomi on 2016/09/05 at a park\n10122,2016/09/05,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n10123,2016/09/05,I prepare a burger for lunch.,I prepare a burger for lunch.\n10124,2016/09/05,I ate pasta for dinner.,I ate pasta for dinner.\n10125,2016/09/05,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n10126,2016/09/06,\"I had eggs, sausages, and bread for breakfast with Willow\",\"I had eggs, sausages, and bread for breakfast with Willow\"\n10127,2016/09/06,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n10128,2016/09/06,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n10129,2016/09/07,\"I went grocery shopping. I bought some cherres, strawberries, raspberries, oranges, apple juice, orange juice, coffee, guava juice, and paper towel, shampoo, mouth wash, toothbrush\",\"I went grocery shopping. I bought some cherres, strawberries, raspberries, oranges, apple juice, orange juice, coffee, guava juice, and paper towel, shampoo, mouth wash, toothbrush\"\n10130,2016/09/07,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n10131,2016/09/07,I ate steak for lunch.,I ate steak for lunch.\n10132,2016/09/07,\"I talked to Layla, Rylee, Nevaeh, Claire for 48 minutes late in the evening.\",\"I talked to Layla, Rylee, Nevaeh, Claire for 48 minutes late in the evening.\"\n10133,2016/09/07,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n10134,2016/09/08,I did hiking on 2016/09/08.,I did hiking on 2016/09/08.\n10135,2016/09/08,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n10136,2016/09/08,I had indian food for lunch with Nevaeh,I had indian food for lunch with Nevaeh\n10137,2016/09/08,\"I spent 25 talking to Eva, Avery, Nevaeh, Olivia on various topics in the early evening.\",\"I spent 25 talking to Eva, Avery, Nevaeh, Olivia on various topics in the early evening.\"\n10138,2016/09/08,\"I talked to Rylee, Kinsley for 8 minutes in the early afternoon.\",\"I talked to Rylee, Kinsley for 8 minutes in the early afternoon.\"\n10139,2016/09/08,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n10140,2016/09/09,\"I had tacos for lunch with Avery, Benjamin, Willow\",\"I had tacos for lunch with Avery, Benjamin, Willow\"\n10141,2016/09/09,\"I talked to Piper, Olivia, Piper, Eva for 51 minutes in the early afternoon.\",\"I talked to Piper, Olivia, Piper, Eva for 51 minutes in the early afternoon.\"\n10142,2016/09/09,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n10143,2016/09/09,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n10144,2016/09/10,I did weight lifting on 2016/09/10.,I did weight lifting on 2016/09/10.\n10145,2016/09/10,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n10146,2016/09/10,I ate indian food for dinner.,I ate indian food for dinner.\n10147,2016/09/10,I spent 36 talking to Layla on various topics in the early evening.,I spent 36 talking to Layla on various topics in the early evening.\n10148,2016/09/10,\"I spent 11 talking to Lydia, Claire, Nevaeh on various topics in the late afternoon.\",\"I spent 11 talking to Lydia, Claire, Nevaeh on various topics in the late afternoon.\"\n10149,2016/09/10,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n10150,2016/09/11,\"I had toast and cheese for breakfast with Layla, Avery, Piper\",\"I had toast and cheese for breakfast with Layla, Avery, Piper\"\n10151,2016/09/11,\"I spent 43 talking to Avery, Eva, Kinsley on various topics in the morning.\",\"I spent 43 talking to Avery, Eva, Kinsley on various topics in the morning.\"\n10152,2016/09/12,I had oatmeal for breakfast with Kayden,I had oatmeal for breakfast with Kayden\n10153,2016/09/12,\"I had pasta for lunch with Carter, Kayden, Emily\",\"I had pasta for lunch with Carter, Kayden, Emily\"\n10154,2016/09/12,\"I had dinner with Andrew, Carter, Kayden. I ate pasta.\",\"I had dinner with Andrew, Carter, Kayden. I ate pasta.\"\n10155,2016/09/12,I talked to Layla for 27 minutes in the morning.,I talked to Layla for 27 minutes in the morning.\n10156,2016/09/12,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n10157,2016/09/13,\"I had indian food for lunch with Hazel, Eva, Layla, Lydia, Claire, Kinsley\",\"I had indian food for lunch with Hazel, Eva, Layla, Lydia, Claire, Kinsley\"\n10158,2016/09/13,\"I talked to Eva, Rylee for 6 minutes in the early evening.\",\"I talked to Eva, Rylee for 6 minutes in the early evening.\"\n10159,2016/09/13,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n10160,2016/09/14,\"I bought some pineapples, peaches, orange juice, chocolate milk, guava juice, shampoo, mouthwash, facial wash, toilet paper online.\",\"I bought some pineapples, peaches, orange juice, chocolate milk, guava juice, shampoo, mouthwash, facial wash, toilet paper online.\"\n10161,2016/09/14,I did hiking on 2016/09/14.,I did hiking on 2016/09/14.\n10162,2016/09/14,\"I had indian food for lunch with Layla, Piper, Piper, Kinsley, Nora, Eva, Olivia, Claire, Hazel, Nevaeh, Rylee, Lydia\",\"I had indian food for lunch with Layla, Piper, Piper, Kinsley, Nora, Eva, Olivia, Claire, Hazel, Nevaeh, Rylee, Lydia\"\n10163,2016/09/14,\"I had tacos for dinner with Carter, Andrew\",\"I had tacos for dinner with Carter, Andrew\"\n10164,2016/09/14,I spent 48 minutes reading news today.,I spent 48 minutes reading news today.\n10165,2016/09/15,I did hiking on 2016/09/15.,I did hiking on 2016/09/15.\n10166,2016/09/15,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n10167,2016/09/15,I had lunch with Benjamin. I ate fish and chips.,I had lunch with Benjamin. I ate fish and chips.\n10168,2016/09/15,\"I had dinner with Willow, Avery, Jackson. I ate indian food.\",\"I had dinner with Willow, Avery, Jackson. I ate indian food.\"\n10169,2016/09/15,\"I talked to Piper, Olivia, Avery, Claire for 21 minutes during lunch hours.\",\"I talked to Piper, Olivia, Avery, Claire for 21 minutes during lunch hours.\"\n10170,2016/09/16,I did weight lifting on 2016/09/16.,I did weight lifting on 2016/09/16.\n10171,2016/09/16,\"I had chinese food for lunch with Kinsley, Olivia, Piper, Avery, Lydia, Claire, Eva, Nora, Nevaeh, Layla, Rylee, Piper\",\"I had chinese food for lunch with Kinsley, Olivia, Piper, Avery, Lydia, Claire, Eva, Nora, Nevaeh, Layla, Rylee, Piper\"\n10172,2016/09/16,\"I had dinner with Kayden, Carter, Emily, Andrew. I ate pasta.\",\"I had dinner with Kayden, Carter, Emily, Andrew. I ate pasta.\"\n10173,2016/09/16,\"I talked to Claire, Olivia for 23 minutes in the morning.\",\"I talked to Claire, Olivia for 23 minutes in the morning.\"\n10174,2016/09/17,\"On 2016/09/17, I took Claire on a date to a restaurant\",\"On 2016/09/17, I took Claire on a date to a restaurant\"\n10175,2016/09/17,I did weight lifting on 2016/09/17.,I did weight lifting on 2016/09/17.\n10176,2016/09/17,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n10177,2016/09/17,\"I had sandwich for lunch with Carter, Andrew, Kayden, Emily\",\"I had sandwich for lunch with Carter, Andrew, Kayden, Emily\"\n10178,2016/09/18,I did weight lifting on 2016/09/18.,I did weight lifting on 2016/09/18.\n10179,2016/09/18,I prepare pasta for lunch.,I prepare pasta for lunch.\n10180,2016/09/18,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n10181,2016/09/19,I had breakfast with Andrew. I ate oatmeal.,I had breakfast with Andrew. I ate oatmeal.\n10182,2016/09/19,\"I spent 40 talking to Olivia, Piper, Layla on various topics in the morning.\",\"I spent 40 talking to Olivia, Piper, Layla on various topics in the morning.\"\n10183,2016/09/20,I really enjoyed working out on 2016/09/20,I really enjoyed working out on 2016/09/20\n10184,2016/09/20,\"I went grocery shopping. I bought some blueberries, cherres, sports drinks, and body lotion\",\"I went grocery shopping. I bought some blueberries, cherres, sports drinks, and body lotion\"\n10185,2016/09/20,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n10186,2016/09/20,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n10187,2016/09/20,\"I spent 33 talking to Hazel, Avery, Piper, Lydia on various topics in the early afternoon.\",\"I spent 33 talking to Hazel, Avery, Piper, Lydia on various topics in the early afternoon.\"\n10188,2016/09/20,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n10189,2016/09/21,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n10190,2016/09/21,\"I had dinner with Emily, Kayden. I ate a burger.\",\"I had dinner with Emily, Kayden. I ate a burger.\"\n10191,2016/09/21,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n10192,2016/09/22,I did running on 2016/09/22.,I did running on 2016/09/22.\n10193,2016/09/22,I ate cereals for breakfast.,I ate cereals for breakfast.\n10194,2016/09/22,\"I had dinner with Kayden, Emily, Andrew, Carter. I ate tacos.\",\"I had dinner with Kayden, Emily, Andrew, Carter. I ate tacos.\"\n10195,2016/09/22,\"I talked to Layla, Hazel for 46 minutes in the early evening.\",\"I talked to Layla, Hazel for 46 minutes in the early evening.\"\n10196,2016/09/23,I went on a date with Caleb on 2016/09/23 at a park,I went on a date with Caleb on 2016/09/23 at a park\n10197,2016/09/23,I really enjoyed yoga on 2016/09/23,I really enjoyed yoga on 2016/09/23\n10198,2016/09/23,I had fish and chips for lunch with Andrew,I had fish and chips for lunch with Andrew\n10199,2016/09/23,\"I spent 53 talking to Claire, Piper on various topics late in the evening.\",\"I spent 53 talking to Claire, Piper on various topics late in the evening.\"\n10200,2016/09/23,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n10201,2016/09/24,I did biking on 2016/09/24.,I did biking on 2016/09/24.\n10202,2016/09/24,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n10203,2016/09/24,\"I had lunch with Emily, Andrew. I ate sushi.\",\"I had lunch with Emily, Andrew. I ate sushi.\"\n10204,2016/09/24,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n10205,2016/09/24,I talked to Olivia for 41 minutes in the early evening.,I talked to Olivia for 41 minutes in the early evening.\n10206,2016/09/24,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n10207,2016/09/25,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n10208,2016/09/25,\"I talked to Kinsley, Eva for 46 minutes during lunch hours.\",\"I talked to Kinsley, Eva for 46 minutes during lunch hours.\"\n10209,2016/09/25,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n10210,2016/09/26,\"I had eggs, sausages, and bread for breakfast with Emily\",\"I had eggs, sausages, and bread for breakfast with Emily\"\n10211,2016/09/26,I ate tacos for lunch.,I ate tacos for lunch.\n10212,2016/09/26,I ate pasta for dinner.,I ate pasta for dinner.\n10213,2016/09/26,I talked to Layla for 13 minutes late in the evening.,I talked to Layla for 13 minutes late in the evening.\n10214,2016/09/26,\"I spent 9 talking to Piper, Lydia, Piper, Claire on various topics in the early afternoon.\",\"I spent 9 talking to Piper, Lydia, Piper, Claire on various topics in the early afternoon.\"\n10215,2016/09/26,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n10216,2016/09/27,\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate peanut-butter-jam.\"\n10217,2016/09/27,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n10218,2016/09/28,I went on a date with Lucas on 2016/09/28 at a boba shop,I went on a date with Lucas on 2016/09/28 at a boba shop\n10219,2016/09/28,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n10220,2016/09/29,I did hiking on 2016/09/29.,I did hiking on 2016/09/29.\n10221,2016/09/29,\"I had peanut-butter-jam for breakfast with Rylee, Olivia, Kinsley, Layla, Lydia, Claire, Eva, Piper\",\"I had peanut-butter-jam for breakfast with Rylee, Olivia, Kinsley, Layla, Lydia, Claire, Eva, Piper\"\n10222,2016/09/29,\"I had dinner with Carter, Andrew. I ate chinese food.\",\"I had dinner with Carter, Andrew. I ate chinese food.\"\n10223,2016/09/29,\"I talked to Nevaeh, Lydia, Claire, Nora for 21 minutes late in the evening.\",\"I talked to Nevaeh, Lydia, Claire, Nora for 21 minutes late in the evening.\"\n10224,2016/09/29,I spent 28 talking to Eva on various topics late in the evening.,I spent 28 talking to Eva on various topics late in the evening.\n10225,2016/09/29,I watched a movie for 30 minutes on TV today.,I watched a movie for 30 minutes on TV today.\n10226,2016/09/30,I did swimming on 2016/09/30.,I did swimming on 2016/09/30.\n10227,2016/09/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n10228,2016/09/30,\"I talked to Nora, Nevaeh for 25 minutes during lunch hours.\",\"I talked to Nora, Nevaeh for 25 minutes during lunch hours.\"\n10229,2016/09/30,\"I talked to Eva, Olivia for 31 minutes in the early evening.\",\"I talked to Eva, Olivia for 31 minutes in the early evening.\"\n10230,2016/09/30,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n10231,2016/09/30,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n10232,2016/10/01,I talked to Hazel for 50 minutes in the late afternoon.,I talked to Hazel for 50 minutes in the late afternoon.\n10233,2016/10/01,I talked to Rylee for 5 minutes in the late afternoon.,I talked to Rylee for 5 minutes in the late afternoon.\n10234,2016/10/02,\"I went grocery shopping. I bought some watermelons, pineapple juice, sports drinks, apple juice, and mouthwash\",\"I went grocery shopping. I bought some watermelons, pineapple juice, sports drinks, apple juice, and mouthwash\"\n10235,2016/10/02,I had toast and cheese for breakfast with Carter,I had toast and cheese for breakfast with Carter\n10236,2016/10/02,\"I had dinner with Layla, Avery, Lydia, Rylee, Nevaeh. I ate chinese food.\",\"I had dinner with Layla, Avery, Lydia, Rylee, Nevaeh. I ate chinese food.\"\n10237,2016/10/02,\"I talked to Layla, Nevaeh, Piper, Rylee for 12 minutes in the morning.\",\"I talked to Layla, Nevaeh, Piper, Rylee for 12 minutes in the morning.\"\n10238,2016/10/02,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n10239,2016/10/02,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n10240,2016/10/03,I did biking on 2016/10/03.,I did biking on 2016/10/03.\n10241,2016/10/03,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n10242,2016/10/03,I prepare sushi for lunch.,I prepare sushi for lunch.\n10243,2016/10/03,I ate sushi for dinner.,I ate sushi for dinner.\n10244,2016/10/03,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n10245,2016/10/04,\"I went grocery shopping. I bought some apricots, mandarins, pineapple juice, apple juice, tea, and mouthwash, shaving cream, facial wash\",\"I went grocery shopping. I bought some apricots, mandarins, pineapple juice, apple juice, tea, and mouthwash, shaving cream, facial wash\"\n10246,2016/10/04,\"I had cereals for breakfast with Lydia, Layla, Hazel, Piper, Kinsley, Claire, Eva, Rylee, Nevaeh, Nora, Piper\",\"I had cereals for breakfast with Lydia, Layla, Hazel, Piper, Kinsley, Claire, Eva, Rylee, Nevaeh, Nora, Piper\"\n10247,2016/10/04,\"I had steak for lunch with Andrew, Emily, Carter, Kayden\",\"I had steak for lunch with Andrew, Emily, Carter, Kayden\"\n10248,2016/10/04,\"I spent 41 talking to Claire, Avery on various topics in the late afternoon.\",\"I spent 41 talking to Claire, Avery on various topics in the late afternoon.\"\n10249,2016/10/04,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n10250,2016/10/04,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n10251,2016/10/05,I did hiking on 2016/10/05.,I did hiking on 2016/10/05.\n10252,2016/10/05,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n10253,2016/10/05,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n10254,2016/10/05,\"I spent 32 talking to Avery, Piper, Rylee on various topics in the early afternoon.\",\"I spent 32 talking to Avery, Piper, Rylee on various topics in the early afternoon.\"\n10255,2016/10/05,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n10256,2016/10/06,I did swimming on 2016/10/06.,I did swimming on 2016/10/06.\n10257,2016/10/06,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n10258,2016/10/06,\"I had steak for lunch with Kayden, Emily\",\"I had steak for lunch with Kayden, Emily\"\n10259,2016/10/06,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n10260,2016/10/07,\"I had cereals for breakfast with Emily, Carter, Kayden\",\"I had cereals for breakfast with Emily, Carter, Kayden\"\n10261,2016/10/07,I prepare indian food for dinner.,I prepare indian food for dinner.\n10262,2016/10/07,\"I talked to Layla, Hazel, Rylee, Nora for 37 minutes in the morning.\",\"I talked to Layla, Hazel, Rylee, Nora for 37 minutes in the morning.\"\n10263,2016/10/07,\"I talked to Rylee, Nevaeh, Eva for 22 minutes in the early afternoon.\",\"I talked to Rylee, Nevaeh, Eva for 22 minutes in the early afternoon.\"\n10264,2016/10/07,I spent 51 minutes watching a movie on TV today.,I spent 51 minutes watching a movie on TV today.\n10265,2016/10/08,\"I bought some mandarins, watermelons, blackberries, coffee, orange juice, toothbrush, shampoo from the grocery store. I saw Rylee, Olivia, Piper, Nora, Hazel, Lydia, Layla at the grocery store.\",\"I bought some mandarins, watermelons, blackberries, coffee, orange juice, toothbrush, shampoo from the grocery store. I saw Rylee, Olivia, Piper, Nora, Hazel, Lydia, Layla at the grocery store.\"\n10266,2016/10/08,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n10267,2016/10/08,\"I spent 25 talking to Olivia, Piper, Layla, Nora on various topics in the early afternoon.\",\"I spent 25 talking to Olivia, Piper, Layla, Nora on various topics in the early afternoon.\"\n10268,2016/10/08,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n10269,2016/10/09,I did biking on 2016/10/09.,I did biking on 2016/10/09.\n10270,2016/10/09,I had lunch. I ate steak.,I had lunch. I ate steak.\n10271,2016/10/09,I prepare pasta for dinner.,I prepare pasta for dinner.\n10272,2016/10/09,\"I talked to Lydia, Hazel, Layla for 13 minutes in the morning.\",\"I talked to Lydia, Hazel, Layla for 13 minutes in the morning.\"\n10273,2016/10/09,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n10274,2016/10/10,I did biking on 2016/10/10.,I did biking on 2016/10/10.\n10275,2016/10/10,I prepare steak for dinner.,I prepare steak for dinner.\n10276,2016/10/10,\"I talked to Piper, Lydia, Hazel for 38 minutes in the morning.\",\"I talked to Piper, Lydia, Hazel for 38 minutes in the morning.\"\n10277,2016/10/10,\"I spent 42 talking to Avery, Piper, Lydia, Kinsley on various topics during lunch hours.\",\"I spent 42 talking to Avery, Piper, Lydia, Kinsley on various topics during lunch hours.\"\n10278,2016/10/10,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n10279,2016/10/11,\"I had tacos for dinner with Kayden, Carter\",\"I had tacos for dinner with Kayden, Carter\"\n10280,2016/10/11,I spent 51 talking to Layla on various topics in the morning.,I spent 51 talking to Layla on various topics in the morning.\n10281,2016/10/11,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n10282,2016/10/12,I did biking on 2016/10/12.,I did biking on 2016/10/12.\n10283,2016/10/12,\"I had breakfast with Avery, Layla, Nora, Olivia, Nevaeh, Rylee, Lydia, Piper, Claire, Kinsley, Eva, Hazel, Piper. I ate toast and cheese.\",\"I had breakfast with Avery, Layla, Nora, Olivia, Nevaeh, Rylee, Lydia, Piper, Claire, Kinsley, Eva, Hazel, Piper. I ate toast and cheese.\"\n10284,2016/10/12,I had chinese food for lunch with Carter,I had chinese food for lunch with Carter\n10285,2016/10/12,\"I talked to Hazel, Piper, Nevaeh, Piper for 32 minutes in the morning.\",\"I talked to Hazel, Piper, Nevaeh, Piper for 32 minutes in the morning.\"\n10286,2016/10/12,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n10287,2016/10/13,I did HIIT on 2016/10/13.,I did HIIT on 2016/10/13.\n10288,2016/10/13,I talked to Avery for 36 minutes late in the evening.,I talked to Avery for 36 minutes late in the evening.\n10289,2016/10/13,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n10290,2016/10/14,I did HIIT on 2016/10/14.,I did HIIT on 2016/10/14.\n10291,2016/10/14,\"I spent 52 talking to Nevaeh, Kinsley, Rylee, Eva on various topics in the morning.\",\"I spent 52 talking to Nevaeh, Kinsley, Rylee, Eva on various topics in the morning.\"\n10292,2016/10/14,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n10293,2016/10/15,I did biking on 2016/10/15.,I did biking on 2016/10/15.\n10294,2016/10/15,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n10295,2016/10/15,\"I spent 51 talking to Avery, Eva on various topics in the early evening.\",\"I spent 51 talking to Avery, Eva on various topics in the early evening.\"\n10296,2016/10/15,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n10297,2016/10/16,I did running on 2016/10/16.,I did running on 2016/10/16.\n10298,2016/10/16,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n10299,2016/10/16,\"I spent 36 talking to Piper, Avery, Eva on various topics in the morning.\",\"I spent 36 talking to Piper, Avery, Eva on various topics in the morning.\"\n10300,2016/10/16,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n10301,2016/10/16,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n10302,2016/10/17,I did running on 2016/10/17.,I did running on 2016/10/17.\n10303,2016/10/17,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n10304,2016/10/17,\"I spent 7 talking to Eva, Hazel on various topics in the early afternoon.\",\"I spent 7 talking to Eva, Hazel on various topics in the early afternoon.\"\n10305,2016/10/18,I talked to Lydia for 30 minutes in the early evening.,I talked to Lydia for 30 minutes in the early evening.\n10306,2016/10/19,I did running on 2016/10/19.,I did running on 2016/10/19.\n10307,2016/10/19,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n10308,2016/10/19,\"I spent 50 talking to Claire, Avery on various topics in the early afternoon.\",\"I spent 50 talking to Claire, Avery on various topics in the early afternoon.\"\n10309,2016/10/19,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n10310,2016/10/20,I did running on 2016/10/20.,I did running on 2016/10/20.\n10311,2016/10/20,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n10312,2016/10/20,\"I had lunch with Jackson, Avery. I ate a burger.\",\"I had lunch with Jackson, Avery. I ate a burger.\"\n10313,2016/10/20,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n10314,2016/10/20,\"I talked to Rylee, Eva for 10 minutes in the late afternoon.\",\"I talked to Rylee, Eva for 10 minutes in the late afternoon.\"\n10315,2016/10/20,I spent 20 talking to Rylee on various topics in the late afternoon.,I spent 20 talking to Rylee on various topics in the late afternoon.\n10316,2016/10/20,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n10317,2016/10/21,I did swimming on 2016/10/21.,I did swimming on 2016/10/21.\n10318,2016/10/21,I prepare tacos for lunch.,I prepare tacos for lunch.\n10319,2016/10/21,\"I talked to Piper, Avery, Piper for 10 minutes late in the evening.\",\"I talked to Piper, Avery, Piper for 10 minutes late in the evening.\"\n10320,2016/10/21,I talked to Olivia for 52 minutes in the morning.,I talked to Olivia for 52 minutes in the morning.\n10321,2016/10/21,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n10322,2016/10/22,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n10323,2016/10/22,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n10324,2016/10/23,I did hiking on 2016/10/23.,I did hiking on 2016/10/23.\n10325,2016/10/23,\"I had peanut-butter-jam for breakfast with Carter, Andrew\",\"I had peanut-butter-jam for breakfast with Carter, Andrew\"\n10326,2016/10/23,I had lunch. I ate steak.,I had lunch. I ate steak.\n10327,2016/10/23,I ate tacos for dinner.,I ate tacos for dinner.\n10328,2016/10/23,\"I spent 15 talking to Layla, Nora, Nevaeh on various topics in the early evening.\",\"I spent 15 talking to Layla, Nora, Nevaeh on various topics in the early evening.\"\n10329,2016/10/23,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n10330,2016/10/23,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n10331,2016/10/24,I did HIIT on 2016/10/24.,I did HIIT on 2016/10/24.\n10332,2016/10/24,I prepare a burger for lunch.,I prepare a burger for lunch.\n10333,2016/10/24,\"I had dinner with Emily, Andrew, Carter. I ate steak.\",\"I had dinner with Emily, Andrew, Carter. I ate steak.\"\n10334,2016/10/24,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n10335,2016/10/25,I went on a date with Alexander on 2016/10/25 at a boba shop,I went on a date with Alexander on 2016/10/25 at a boba shop\n10336,2016/10/25,I did swimming on 2016/10/25.,I did swimming on 2016/10/25.\n10337,2016/10/25,\"I had lunch with Avery, Benjamin. I ate steak.\",\"I had lunch with Avery, Benjamin. I ate steak.\"\n10338,2016/10/25,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n10339,2016/10/25,\"I spent 28 talking to Claire, Layla, Kinsley on various topics in the early evening.\",\"I spent 28 talking to Claire, Layla, Kinsley on various topics in the early evening.\"\n10340,2016/10/25,\"I talked to Nora, Claire for 41 minutes in the morning.\",\"I talked to Nora, Claire for 41 minutes in the morning.\"\n10341,2016/10/26,I really enjoyed meditation on 2016/10/26,I really enjoyed meditation on 2016/10/26\n10342,2016/10/26,\"I went grocery shopping with Carter, Kayden. I bought some raspberries, strawberries, watermelons, sports drinks, apple juice, milk, chocolate milk, and shampoo, mouthwash, toothpaste, conditioner\",\"I went grocery shopping with Carter, Kayden. I bought some raspberries, strawberries, watermelons, sports drinks, apple juice, milk, chocolate milk, and shampoo, mouthwash, toothpaste, conditioner\"\n10343,2016/10/26,I did hiking on 2016/10/26.,I did hiking on 2016/10/26.\n10344,2016/10/26,\"I had peanut-butter-jam for breakfast with Kayden, Emily, Andrew\",\"I had peanut-butter-jam for breakfast with Kayden, Emily, Andrew\"\n10345,2016/10/26,I prepare pasta for lunch.,I prepare pasta for lunch.\n10346,2016/10/26,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n10347,2016/10/27,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n10348,2016/10/27,\"I had lunch with Eva, Rylee, Olivia, Kinsley, Piper, Avery, Layla, Piper, Nora, Nevaeh, Claire, Hazel, Lydia. I ate sandwich.\",\"I had lunch with Eva, Rylee, Olivia, Kinsley, Piper, Avery, Layla, Piper, Nora, Nevaeh, Claire, Hazel, Lydia. I ate sandwich.\"\n10349,2016/10/27,\"I had tacos for dinner with Kayden, Carter, Emily, Andrew\",\"I had tacos for dinner with Kayden, Carter, Emily, Andrew\"\n10350,2016/10/27,I talked to Nora for 51 minutes in the morning.,I talked to Nora for 51 minutes in the morning.\n10351,2016/10/27,\"I spent 23 talking to Olivia, Nevaeh on various topics in the late afternoon.\",\"I spent 23 talking to Olivia, Nevaeh on various topics in the late afternoon.\"\n10352,2016/10/27,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n10353,2016/10/28,\"I bought some strawberries, clementines, cherres, coffee, shampoo, facial wash, toothpaste from the grocery store. I saw Benjamin, Jackson at the grocery store.\",\"I bought some strawberries, clementines, cherres, coffee, shampoo, facial wash, toothpaste from the grocery store. I saw Benjamin, Jackson at the grocery store.\"\n10354,2016/10/28,I did HIIT on 2016/10/28.,I did HIIT on 2016/10/28.\n10355,2016/10/28,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n10356,2016/10/28,\"I had lunch with Nora, Olivia, Layla, Kinsley, Avery, Piper, Piper, Lydia. I ate sushi.\",\"I had lunch with Nora, Olivia, Layla, Kinsley, Avery, Piper, Piper, Lydia. I ate sushi.\"\n10357,2016/10/28,\"I talked to Nevaeh, Lydia for 46 minutes during lunch hours.\",\"I talked to Nevaeh, Lydia for 46 minutes during lunch hours.\"\n10358,2016/10/28,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n10359,2016/10/28,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n10360,2016/10/29,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n10361,2016/10/29,I had lunch with Emily. I ate sushi.,I had lunch with Emily. I ate sushi.\n10362,2016/10/29,I prepare tacos for dinner.,I prepare tacos for dinner.\n10363,2016/10/29,\"I talked to Eva, Kinsley, Lydia, Nora for 45 minutes in the late afternoon.\",\"I talked to Eva, Kinsley, Lydia, Nora for 45 minutes in the late afternoon.\"\n10364,2016/10/29,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n10365,2016/10/29,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n10366,2016/10/30,I did running on 2016/10/30.,I did running on 2016/10/30.\n10367,2016/10/30,\"I talked to Layla, Kinsley for 12 minutes in the late afternoon.\",\"I talked to Layla, Kinsley for 12 minutes in the late afternoon.\"\n10368,2016/10/30,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n10369,2016/10/31,\"I bought some pineapples, pineapple juice, chocolate milk, paper towel online.\",\"I bought some pineapples, pineapple juice, chocolate milk, paper towel online.\"\n10370,2016/10/31,\"I had peanut-butter-jam for breakfast with Kayden, Emily\",\"I had peanut-butter-jam for breakfast with Kayden, Emily\"\n10371,2016/10/31,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n10372,2016/11/01,I did swimming on 2016/11/01.,I did swimming on 2016/11/01.\n10373,2016/11/01,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n10374,2016/11/01,I ate tacos for lunch.,I ate tacos for lunch.\n10375,2016/11/01,\"I spent 12 talking to Piper, Avery on various topics in the morning.\",\"I spent 12 talking to Piper, Avery on various topics in the morning.\"\n10376,2016/11/01,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n10377,2016/11/02,I did swimming on 2016/11/02.,I did swimming on 2016/11/02.\n10378,2016/11/02,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n10379,2016/11/02,\"I had lunch with Emily, Andrew, Kayden, Carter. I ate fish and chips.\",\"I had lunch with Emily, Andrew, Kayden, Carter. I ate fish and chips.\"\n10380,2016/11/02,\"I had dinner with Emily, Carter, Kayden. I ate a burger.\",\"I had dinner with Emily, Carter, Kayden. I ate a burger.\"\n10381,2016/11/02,\"I spent 8 talking to Avery, Eva, Claire, Lydia on various topics in the early afternoon.\",\"I spent 8 talking to Avery, Eva, Claire, Lydia on various topics in the early afternoon.\"\n10382,2016/11/02,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n10383,2016/11/03,I had lunch. I ate steak.,I had lunch. I ate steak.\n10384,2016/11/03,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n10385,2016/11/03,\"I spent 15 talking to Avery, Piper, Nevaeh, Eva on various topics in the morning.\",\"I spent 15 talking to Avery, Piper, Nevaeh, Eva on various topics in the morning.\"\n10386,2016/11/03,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n10387,2016/11/03,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n10388,2016/11/04,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n10389,2016/11/04,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n10390,2016/11/04,\"I talked to Lydia, Piper, Nora, Eva for 14 minutes during lunch hours.\",\"I talked to Lydia, Piper, Nora, Eva for 14 minutes during lunch hours.\"\n10391,2016/11/04,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n10392,2016/11/04,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n10393,2016/11/05,\"I had breakfast with Willow, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Willow, Jackson. I ate peanut-butter-jam.\"\n10394,2016/11/05,\"I had dinner with Andrew, Carter, Kayden, Emily. I ate steak.\",\"I had dinner with Andrew, Carter, Kayden, Emily. I ate steak.\"\n10395,2016/11/05,I spent 30 talking to Lydia on various topics during lunch hours.,I spent 30 talking to Lydia on various topics during lunch hours.\n10396,2016/11/05,\"I talked to Nora, Olivia, Rylee, Avery for 26 minutes late in the evening.\",\"I talked to Nora, Olivia, Rylee, Avery for 26 minutes late in the evening.\"\n10397,2016/11/06,\"I bought some cherres, orange juice, mineral water, coffee, toilet paper, conditioner online.\",\"I bought some cherres, orange juice, mineral water, coffee, toilet paper, conditioner online.\"\n10398,2016/11/06,\"I had lunch with Emily, Carter, Andrew. I ate tacos.\",\"I had lunch with Emily, Carter, Andrew. I ate tacos.\"\n10399,2016/11/06,I spent 15 minutes watching a documentary on TV today.,I spent 15 minutes watching a documentary on TV today.\n10400,2016/11/07,\"I bought some pears, mangos, bananas, nectarines, soda, coffee, facial wash from the grocery store. I saw Kayden, Andrew at the grocery store.\",\"I bought some pears, mangos, bananas, nectarines, soda, coffee, facial wash from the grocery store. I saw Kayden, Andrew at the grocery store.\"\n10401,2016/11/07,I did hiking on 2016/11/07.,I did hiking on 2016/11/07.\n10402,2016/11/07,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n10403,2016/11/07,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n10404,2016/11/07,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n10405,2016/11/08,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n10406,2016/11/08,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n10407,2016/11/08,I talked to Claire for 15 minutes late in the evening.,I talked to Claire for 15 minutes late in the evening.\n10408,2016/11/09,I did weight lifting on 2016/11/09.,I did weight lifting on 2016/11/09.\n10409,2016/11/09,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n10410,2016/11/09,I talked to Nora for 53 minutes in the early afternoon.,I talked to Nora for 53 minutes in the early afternoon.\n10411,2016/11/09,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n10412,2016/11/09,I spent 52 minutes watching a documentary on TV today.,I spent 52 minutes watching a documentary on TV today.\n10413,2016/11/10,\"On 2016/11/10, I took Emma on a date to a restaurant\",\"On 2016/11/10, I took Emma on a date to a restaurant\"\n10414,2016/11/10,I spent time working out on 2016/11/10 with Eva.,I spent time working out on 2016/11/10 with Eva.\n10415,2016/11/10,I did swimming on 2016/11/10.,I did swimming on 2016/11/10.\n10416,2016/11/10,\"I had peanut-butter-jam for breakfast with Lydia, Claire, Piper\",\"I had peanut-butter-jam for breakfast with Lydia, Claire, Piper\"\n10417,2016/11/10,I had tacos for lunch with Kayden,I had tacos for lunch with Kayden\n10418,2016/11/10,I prepare a burger for dinner.,I prepare a burger for dinner.\n10419,2016/11/10,\"I talked to Kinsley, Nora, Rylee, Piper for 30 minutes in the morning.\",\"I talked to Kinsley, Nora, Rylee, Piper for 30 minutes in the morning.\"\n10420,2016/11/11,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n10421,2016/11/11,I ate indian food for lunch.,I ate indian food for lunch.\n10422,2016/11/11,I ate indian food for dinner.,I ate indian food for dinner.\n10423,2016/11/11,\"I talked to Claire, Rylee, Nora, Hazel for 26 minutes during lunch hours.\",\"I talked to Claire, Rylee, Nora, Hazel for 26 minutes during lunch hours.\"\n10424,2016/11/11,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n10425,2016/11/11,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n10426,2016/11/12,I did swimming on 2016/11/12.,I did swimming on 2016/11/12.\n10427,2016/11/12,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n10428,2016/11/12,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n10429,2016/11/13,I did weight lifting on 2016/11/13.,I did weight lifting on 2016/11/13.\n10430,2016/11/13,I prepare sushi for lunch.,I prepare sushi for lunch.\n10431,2016/11/13,I prepare pasta for dinner.,I prepare pasta for dinner.\n10432,2016/11/13,I talked to Claire for 13 minutes in the late afternoon.,I talked to Claire for 13 minutes in the late afternoon.\n10433,2016/11/13,\"I talked to Nora, Eva, Kinsley, Nevaeh for 44 minutes late in the evening.\",\"I talked to Nora, Eva, Kinsley, Nevaeh for 44 minutes late in the evening.\"\n10434,2016/11/14,I did HIIT on 2016/11/14.,I did HIIT on 2016/11/14.\n10435,2016/11/14,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n10436,2016/11/15,I did hiking on 2016/11/15.,I did hiking on 2016/11/15.\n10437,2016/11/15,\"I had sandwich for lunch with Emily, Andrew, Carter\",\"I had sandwich for lunch with Emily, Andrew, Carter\"\n10438,2016/11/15,\"I spent 6 talking to Claire, Avery, Eva, Layla on various topics in the late afternoon.\",\"I spent 6 talking to Claire, Avery, Eva, Layla on various topics in the late afternoon.\"\n10439,2016/11/15,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n10440,2016/11/15,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n10441,2016/11/16,I did biking on 2016/11/16.,I did biking on 2016/11/16.\n10442,2016/11/16,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n10443,2016/11/16,I ate a burger for lunch.,I ate a burger for lunch.\n10444,2016/11/16,I prepare pasta for dinner.,I prepare pasta for dinner.\n10445,2016/11/16,\"I spent 42 talking to Nevaeh, Piper, Lydia, Avery on various topics in the morning.\",\"I spent 42 talking to Nevaeh, Piper, Lydia, Avery on various topics in the morning.\"\n10446,2016/11/16,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n10447,2016/11/16,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n10448,2016/11/17,I did running on 2016/11/17.,I did running on 2016/11/17.\n10449,2016/11/17,\"I had steak for lunch with Emily, Kayden, Andrew\",\"I had steak for lunch with Emily, Kayden, Andrew\"\n10450,2016/11/17,I had dinner with Kayden. I ate pasta.,I had dinner with Kayden. I ate pasta.\n10451,2016/11/17,\"I talked to Kinsley, Lydia, Piper, Avery for 25 minutes late in the evening.\",\"I talked to Kinsley, Lydia, Piper, Avery for 25 minutes late in the evening.\"\n10452,2016/11/18,I did HIIT on 2016/11/18.,I did HIIT on 2016/11/18.\n10453,2016/11/18,\"I had cereals for breakfast with Andrew, Carter, Emily, Kayden\",\"I had cereals for breakfast with Andrew, Carter, Emily, Kayden\"\n10454,2016/11/18,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n10455,2016/11/18,\"I talked to Eva, Nevaeh, Piper for 49 minutes late in the evening.\",\"I talked to Eva, Nevaeh, Piper for 49 minutes late in the evening.\"\n10456,2016/11/18,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n10457,2016/11/19,\"I bought some watermelons, pineapples, mandarins, apple juice, chocolate milk, soda, toilet paper online.\",\"I bought some watermelons, pineapples, mandarins, apple juice, chocolate milk, soda, toilet paper online.\"\n10458,2016/11/19,\"I had dinner with Piper, Nora, Olivia, Avery, Hazel, Layla, Claire, Kinsley, Piper, Lydia, Eva, Rylee, Nevaeh. I ate tacos.\",\"I had dinner with Piper, Nora, Olivia, Avery, Hazel, Layla, Claire, Kinsley, Piper, Lydia, Eva, Rylee, Nevaeh. I ate tacos.\"\n10459,2016/11/19,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n10460,2016/11/19,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n10461,2016/11/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n10462,2016/11/20,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n10463,2016/11/20,\"I spent 47 talking to Kinsley, Layla on various topics late in the evening.\",\"I spent 47 talking to Kinsley, Layla on various topics late in the evening.\"\n10464,2016/11/20,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n10465,2016/11/21,\"I really enjoyed baking cheater’s mini rhubarb galettes, birthday cupcakes with white wine buttercream on 2016/11/21 with Emily at my place\",\"I really enjoyed baking cheater’s mini rhubarb galettes, birthday cupcakes with white wine buttercream on 2016/11/21 with Emily at my place\"\n10466,2016/11/21,\"I had breakfast with Emily, Andrew, Carter. I ate pancakes.\",\"I had breakfast with Emily, Andrew, Carter. I ate pancakes.\"\n10467,2016/11/21,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n10468,2016/11/21,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n10469,2016/11/22,I did running on 2016/11/22.,I did running on 2016/11/22.\n10470,2016/11/22,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n10471,2016/11/22,\"I had lunch with Hazel, Kinsley, Eva, Avery. I ate steak.\",\"I had lunch with Hazel, Kinsley, Eva, Avery. I ate steak.\"\n10472,2016/11/22,\"I spent 9 talking to Olivia, Rylee, Lydia on various topics in the late afternoon.\",\"I spent 9 talking to Olivia, Rylee, Lydia on various topics in the late afternoon.\"\n10473,2016/11/22,I spent 49 talking to Claire on various topics late in the evening.,I spent 49 talking to Claire on various topics late in the evening.\n10474,2016/11/22,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n10475,2016/11/23,I did HIIT on 2016/11/23.,I did HIIT on 2016/11/23.\n10476,2016/11/23,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n10477,2016/11/23,I ate sushi for dinner.,I ate sushi for dinner.\n10478,2016/11/23,\"I talked to Eva, Layla, Rylee, Piper for 5 minutes in the late afternoon.\",\"I talked to Eva, Layla, Rylee, Piper for 5 minutes in the late afternoon.\"\n10479,2016/11/23,\"I talked to Eva, Piper, Lydia for 31 minutes during lunch hours.\",\"I talked to Eva, Piper, Lydia for 31 minutes during lunch hours.\"\n10480,2016/11/23,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n10481,2016/11/24,I did biking on 2016/11/24.,I did biking on 2016/11/24.\n10482,2016/11/24,\"I had pancakes for breakfast with Piper, Nora, Eva, Kinsley, Claire, Layla, Avery, Lydia, Olivia, Hazel, Piper, Rylee, Nevaeh\",\"I had pancakes for breakfast with Piper, Nora, Eva, Kinsley, Claire, Layla, Avery, Lydia, Olivia, Hazel, Piper, Rylee, Nevaeh\"\n10483,2016/11/24,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n10484,2016/11/24,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n10485,2016/11/25,I did HIIT on 2016/11/25.,I did HIIT on 2016/11/25.\n10486,2016/11/25,\"I had chinese food for lunch with Emily, Andrew, Carter, Kayden\",\"I had chinese food for lunch with Emily, Andrew, Carter, Kayden\"\n10487,2016/11/25,I ate a burger for dinner.,I ate a burger for dinner.\n10488,2016/11/26,I prepare sushi for lunch.,I prepare sushi for lunch.\n10489,2016/11/26,I spent 8 talking to Hazel on various topics late in the evening.,I spent 8 talking to Hazel on various topics late in the evening.\n10490,2016/11/26,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n10491,2016/11/26,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n10492,2016/11/27,I had fish and chips for dinner with Carter,I had fish and chips for dinner with Carter\n10493,2016/11/27,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n10494,2016/11/27,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n10495,2016/11/28,I took my parents for their for an annual dental cleaning and checkup on 2016/11/28 at the hospital.,I took my parents for their for an annual dental cleaning and checkup on 2016/11/28 at the hospital.\n10496,2016/11/28,I went on a date with Julian on 2016/11/28 at a coffee Shop,I went on a date with Julian on 2016/11/28 at a coffee Shop\n10497,2016/11/28,\"I had fish and chips for lunch with Emily, Kayden, Carter\",\"I had fish and chips for lunch with Emily, Kayden, Carter\"\n10498,2016/11/28,\"I spent 6 talking to Nora, Claire, Rylee on various topics in the morning.\",\"I spent 6 talking to Nora, Claire, Rylee on various topics in the morning.\"\n10499,2016/11/28,\"I spent 50 talking to Nevaeh, Piper, Lydia on various topics late in the evening.\",\"I spent 50 talking to Nevaeh, Piper, Lydia on various topics late in the evening.\"\n10500,2016/11/28,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n10501,2016/11/28,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n10502,2016/11/29,\"I went grocery shopping. I bought some peaches, soda, coffee, and toothpaste\",\"I went grocery shopping. I bought some peaches, soda, coffee, and toothpaste\"\n10503,2016/11/29,I did HIIT on 2016/11/29.,I did HIIT on 2016/11/29.\n10504,2016/11/29,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n10505,2016/11/29,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n10506,2016/11/29,\"I spent 51 talking to Piper, Lydia on various topics in the morning.\",\"I spent 51 talking to Piper, Lydia on various topics in the morning.\"\n10507,2016/11/29,I watched a movie for 30 minutes on TV today.,I watched a movie for 30 minutes on TV today.\n10508,2016/11/30,\"I spent 12 talking to Olivia, Piper, Layla, Rylee on various topics in the morning.\",\"I spent 12 talking to Olivia, Piper, Layla, Rylee on various topics in the morning.\"\n10509,2016/11/30,I talked to Rylee for 31 minutes in the early afternoon.,I talked to Rylee for 31 minutes in the early afternoon.\n10510,2016/11/30,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n10511,2016/12/01,I did running on 2016/12/01.,I did running on 2016/12/01.\n10512,2016/12/01,I prepare indian food for lunch.,I prepare indian food for lunch.\n10513,2016/12/01,\"I had dinner with Benjamin, Avery. I ate fish and chips.\",\"I had dinner with Benjamin, Avery. I ate fish and chips.\"\n10514,2016/12/01,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n10515,2016/12/02,\"I went grocery shopping. I bought some cherres, mangos, strawberries, pineapples, apple juice, milk, pineapple juice, mango juice, and mouthwash\",\"I went grocery shopping. I bought some cherres, mangos, strawberries, pineapples, apple juice, milk, pineapple juice, mango juice, and mouthwash\"\n10516,2016/12/02,\"I had breakfast with Claire, Rylee, Avery, Lydia, Eva, Piper, Nora. I ate eggs, sausages, and bread.\",\"I had breakfast with Claire, Rylee, Avery, Lydia, Eva, Piper, Nora. I ate eggs, sausages, and bread.\"\n10517,2016/12/02,\"I spent 16 talking to Kinsley, Nevaeh on various topics during lunch hours.\",\"I spent 16 talking to Kinsley, Nevaeh on various topics during lunch hours.\"\n10518,2016/12/02,\"I talked to Claire, Lydia for 34 minutes in the early afternoon.\",\"I talked to Claire, Lydia for 34 minutes in the early afternoon.\"\n10519,2016/12/02,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n10520,2016/12/03,\"I had sandwich for lunch with Benjamin, Willow, Avery\",\"I had sandwich for lunch with Benjamin, Willow, Avery\"\n10521,2016/12/03,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n10522,2016/12/03,I talked to Olivia for 55 minutes during lunch hours.,I talked to Olivia for 55 minutes during lunch hours.\n10523,2016/12/03,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n10524,2016/12/03,I spent 55 minutes watching news on TV today.,I spent 55 minutes watching news on TV today.\n10525,2016/12/04,\"I had cereals for breakfast with Benjamin, Jackson, Willow, Avery\",\"I had cereals for breakfast with Benjamin, Jackson, Willow, Avery\"\n10526,2016/12/04,\"I had indian food for lunch with Emily, Carter, Kayden\",\"I had indian food for lunch with Emily, Carter, Kayden\"\n10527,2016/12/04,\"I had dinner with Benjamin, Jackson. I ate indian food.\",\"I had dinner with Benjamin, Jackson. I ate indian food.\"\n10528,2016/12/04,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n10529,2016/12/04,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n10530,2016/12/05,\"I went grocery shopping. I bought some blackberries, raspberries, mandarins, apple juice, and mouthwash, shampoo, toothbrush\",\"I went grocery shopping. I bought some blackberries, raspberries, mandarins, apple juice, and mouthwash, shampoo, toothbrush\"\n10531,2016/12/05,I prepare indian food for dinner.,I prepare indian food for dinner.\n10532,2016/12/05,\"I talked to Eva, Lydia, Nora, Claire for 10 minutes late in the evening.\",\"I talked to Eva, Lydia, Nora, Claire for 10 minutes late in the evening.\"\n10533,2016/12/05,I talked to Eva for 53 minutes late in the evening.,I talked to Eva for 53 minutes late in the evening.\n10534,2016/12/06,I spent time working out on 2016/12/06 with Nevaeh.,I spent time working out on 2016/12/06 with Nevaeh.\n10535,2016/12/06,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n10536,2016/12/06,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n10537,2016/12/07,\"I had lunch with Andrew, Kayden, Emily. I ate a burger.\",\"I had lunch with Andrew, Kayden, Emily. I ate a burger.\"\n10538,2016/12/07,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n10539,2016/12/07,I talked to Piper for 28 minutes during lunch hours.,I talked to Piper for 28 minutes during lunch hours.\n10540,2016/12/07,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n10541,2016/12/08,\"On 2016/12/08, I took Emilia on a date to a restaurant\",\"On 2016/12/08, I took Emilia on a date to a restaurant\"\n10542,2016/12/08,I did weight lifting on 2016/12/08.,I did weight lifting on 2016/12/08.\n10543,2016/12/08,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n10544,2016/12/08,\"I had pasta for lunch with Kinsley, Olivia, Eva, Rylee, Hazel, Nora, Lydia, Nevaeh, Piper, Piper, Avery, Layla, Claire\",\"I had pasta for lunch with Kinsley, Olivia, Eva, Rylee, Hazel, Nora, Lydia, Nevaeh, Piper, Piper, Avery, Layla, Claire\"\n10545,2016/12/08,I had dinner with Kayden. I ate tacos.,I had dinner with Kayden. I ate tacos.\n10546,2016/12/09,I ate cereals for breakfast.,I ate cereals for breakfast.\n10547,2016/12/09,\"I had pasta for lunch with Willow, Jackson, Avery\",\"I had pasta for lunch with Willow, Jackson, Avery\"\n10548,2016/12/09,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n10549,2016/12/09,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n10550,2016/12/10,\"I had indian food for lunch with Olivia, Piper, Layla, Piper, Avery, Lydia, Kinsley, Eva\",\"I had indian food for lunch with Olivia, Piper, Layla, Piper, Avery, Lydia, Kinsley, Eva\"\n10551,2016/12/10,I prepare pasta for dinner.,I prepare pasta for dinner.\n10552,2016/12/10,\"I talked to Hazel, Lydia, Kinsley for 6 minutes in the early evening.\",\"I talked to Hazel, Lydia, Kinsley for 6 minutes in the early evening.\"\n10553,2016/12/10,\"I talked to Layla, Piper, Olivia, Nora for 29 minutes in the early afternoon.\",\"I talked to Layla, Piper, Olivia, Nora for 29 minutes in the early afternoon.\"\n10554,2016/12/11,\"On 2016/12/11, I took Aiden on a date to a boba shop\",\"On 2016/12/11, I took Aiden on a date to a boba shop\"\n10555,2016/12/11,\"I bought some nectarines, mandarins, oranges, pineapple juice, milk, toothpaste, mouth wash, shaving cream, body lotion from the grocery store. I saw Emily at the grocery store.\",\"I bought some nectarines, mandarins, oranges, pineapple juice, milk, toothpaste, mouth wash, shaving cream, body lotion from the grocery store. I saw Emily at the grocery store.\"\n10556,2016/12/11,\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Andrew, Kayden\",\"I had eggs, sausages, and bread for breakfast with Emily, Carter, Andrew, Kayden\"\n10557,2016/12/11,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n10558,2016/12/11,\"I talked to Nevaeh, Layla, Piper, Eva for 7 minutes in the late afternoon.\",\"I talked to Nevaeh, Layla, Piper, Eva for 7 minutes in the late afternoon.\"\n10559,2016/12/11,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n10560,2016/12/11,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n10561,2016/12/12,I did weight lifting on 2016/12/12.,I did weight lifting on 2016/12/12.\n10562,2016/12/12,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n10563,2016/12/12,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n10564,2016/12/12,\"I spent 53 talking to Nevaeh, Layla, Kinsley on various topics in the late afternoon.\",\"I spent 53 talking to Nevaeh, Layla, Kinsley on various topics in the late afternoon.\"\n10565,2016/12/12,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n10566,2016/12/12,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n10567,2016/12/13,I did weight lifting on 2016/12/13.,I did weight lifting on 2016/12/13.\n10568,2016/12/13,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n10569,2016/12/13,I talked to Eva for 38 minutes during lunch hours.,I talked to Eva for 38 minutes during lunch hours.\n10570,2016/12/13,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n10571,2016/12/14,\"I had peanut-butter-jam for breakfast with Kinsley, Eva, Lydia\",\"I had peanut-butter-jam for breakfast with Kinsley, Eva, Lydia\"\n10572,2016/12/14,\"I had fish and chips for dinner with Benjamin, Willow, Jackson\",\"I had fish and chips for dinner with Benjamin, Willow, Jackson\"\n10573,2016/12/14,\"I spent 8 talking to Claire, Rylee, Lydia on various topics in the morning.\",\"I spent 8 talking to Claire, Rylee, Lydia on various topics in the morning.\"\n10574,2016/12/14,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n10575,2016/12/14,I spent 33 minutes watching a tv series on TV today.,I spent 33 minutes watching a tv series on TV today.\n10576,2016/12/15,\"I went grocery shopping. I bought some bananas, oranges, apple juice, guava juice, mineral water, milk, and toilet paper, shampoo, mouthwash\",\"I went grocery shopping. I bought some bananas, oranges, apple juice, guava juice, mineral water, milk, and toilet paper, shampoo, mouthwash\"\n10577,2016/12/15,I did running on 2016/12/15.,I did running on 2016/12/15.\n10578,2016/12/15,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n10579,2016/12/15,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n10580,2016/12/15,\"I talked to Olivia, Lydia, Avery for 36 minutes in the morning.\",\"I talked to Olivia, Lydia, Avery for 36 minutes in the morning.\"\n10581,2016/12/15,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n10582,2016/12/15,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n10583,2016/12/16,I really enjoyed cooking split pea soup with ham & jalapeno on 2016/12/16 with Jackson at my place,I really enjoyed cooking split pea soup with ham & jalapeno on 2016/12/16 with Jackson at my place\n10584,2016/12/16,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n10585,2016/12/16,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n10586,2016/12/16,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n10587,2016/12/17,\"I bought some peaches, pineapples, apple juice, shaving cream, shampoo from the grocery store. I saw Kayden at the grocery store.\",\"I bought some peaches, pineapples, apple juice, shaving cream, shampoo from the grocery store. I saw Kayden at the grocery store.\"\n10588,2016/12/17,I did weight lifting on 2016/12/17.,I did weight lifting on 2016/12/17.\n10589,2016/12/17,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n10590,2016/12/18,I did weight lifting on 2016/12/18.,I did weight lifting on 2016/12/18.\n10591,2016/12/18,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n10592,2016/12/18,I had steak for dinner with Avery,I had steak for dinner with Avery\n10593,2016/12/18,I spent 13 talking to Eva on various topics in the morning.,I spent 13 talking to Eva on various topics in the morning.\n10594,2016/12/18,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n10595,2016/12/19,I did HIIT on 2016/12/19.,I did HIIT on 2016/12/19.\n10596,2016/12/19,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n10597,2016/12/19,\"I had dinner with Andrew, Carter. I ate sushi.\",\"I had dinner with Andrew, Carter. I ate sushi.\"\n10598,2016/12/19,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n10599,2016/12/20,I spent some time meditation on 2016/12/20.,I spent some time meditation on 2016/12/20.\n10600,2016/12/20,I did HIIT on 2016/12/20.,I did HIIT on 2016/12/20.\n10601,2016/12/20,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n10602,2016/12/20,\"I spent 10 talking to Olivia, Eva, Hazel, Kinsley on various topics in the morning.\",\"I spent 10 talking to Olivia, Eva, Hazel, Kinsley on various topics in the morning.\"\n10603,2016/12/20,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n10604,2016/12/20,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n10605,2016/12/21,I did swimming on 2016/12/21.,I did swimming on 2016/12/21.\n10606,2016/12/21,I had lunch. I ate steak.,I had lunch. I ate steak.\n10607,2016/12/21,\"I spent 21 talking to Layla, Nora, Kinsley on various topics during lunch hours.\",\"I spent 21 talking to Layla, Nora, Kinsley on various topics during lunch hours.\"\n10608,2016/12/21,\"I talked to Avery, Hazel, Piper, Rylee for 17 minutes in the morning.\",\"I talked to Avery, Hazel, Piper, Rylee for 17 minutes in the morning.\"\n10609,2016/12/22,I went on a date with Sebastian on 2016/12/22 at a park,I went on a date with Sebastian on 2016/12/22 at a park\n10610,2016/12/22,I did running on 2016/12/22.,I did running on 2016/12/22.\n10611,2016/12/22,\"I had lunch with Hazel, Lydia, Piper, Nevaeh, Olivia. I ate a burger.\",\"I had lunch with Hazel, Lydia, Piper, Nevaeh, Olivia. I ate a burger.\"\n10612,2016/12/22,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n10613,2016/12/22,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n10614,2016/12/23,I had breakfast with Carter. I ate oatmeal.,I had breakfast with Carter. I ate oatmeal.\n10615,2016/12/23,I had dinner with Emily. I ate chinese food.,I had dinner with Emily. I ate chinese food.\n10616,2016/12/23,\"I spent 27 talking to Layla, Olivia, Piper on various topics in the late afternoon.\",\"I spent 27 talking to Layla, Olivia, Piper on various topics in the late afternoon.\"\n10617,2016/12/23,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n10618,2016/12/24,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n10619,2016/12/24,\"I had lunch with Piper, Piper, Nevaeh, Hazel, Claire, Lydia. I ate sushi.\",\"I had lunch with Piper, Piper, Nevaeh, Hazel, Claire, Lydia. I ate sushi.\"\n10620,2016/12/24,I ate steak for dinner.,I ate steak for dinner.\n10621,2016/12/24,\"I talked to Eva, Piper, Nora for 30 minutes in the late afternoon.\",\"I talked to Eva, Piper, Nora for 30 minutes in the late afternoon.\"\n10622,2016/12/25,I did hiking on 2016/12/25.,I did hiking on 2016/12/25.\n10623,2016/12/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n10624,2016/12/25,I ate sushi for lunch.,I ate sushi for lunch.\n10625,2016/12/25,I ate sushi for dinner.,I ate sushi for dinner.\n10626,2016/12/25,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n10627,2016/12/26,\"I spent 7 talking to Avery, Piper, Nora, Kinsley on various topics during lunch hours.\",\"I spent 7 talking to Avery, Piper, Nora, Kinsley on various topics during lunch hours.\"\n10628,2016/12/26,\"I spent 46 talking to Rylee, Lydia, Olivia on various topics during lunch hours.\",\"I spent 46 talking to Rylee, Lydia, Olivia on various topics during lunch hours.\"\n10629,2016/12/26,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n10630,2016/12/27,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n10631,2016/12/27,I ate pasta for dinner.,I ate pasta for dinner.\n10632,2016/12/27,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n10633,2016/12/28,I did swimming on 2016/12/28.,I did swimming on 2016/12/28.\n10634,2016/12/28,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n10635,2016/12/28,I ate pasta for dinner.,I ate pasta for dinner.\n10636,2016/12/28,I watched news for 40 minutes on TV today.,I watched news for 40 minutes on TV today.\n10637,2016/12/29,I did swimming on 2016/12/29.,I did swimming on 2016/12/29.\n10638,2016/12/29,\"I had dinner with Kayden, Carter. I ate a burger.\",\"I had dinner with Kayden, Carter. I ate a burger.\"\n10639,2016/12/30,I did swimming on 2016/12/30.,I did swimming on 2016/12/30.\n10640,2016/12/30,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n10641,2016/12/30,\"I talked to Kinsley, Hazel for 51 minutes in the late afternoon.\",\"I talked to Kinsley, Hazel for 51 minutes in the late afternoon.\"\n10642,2016/12/30,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n10643,2016/12/31,I did running on 2016/12/31.,I did running on 2016/12/31.\n10644,2016/12/31,\"I spent 18 talking to Nora, Kinsley on various topics in the morning.\",\"I spent 18 talking to Nora, Kinsley on various topics in the morning.\"\n10645,2016/12/31,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n10646,2017/01/01,I did biking on 2017/01/01.,I did biking on 2017/01/01.\n10647,2017/01/01,\"I had breakfast with Emily, Carter, Kayden, Andrew. I ate pancakes.\",\"I had breakfast with Emily, Carter, Kayden, Andrew. I ate pancakes.\"\n10648,2017/01/01,I ate a burger for lunch.,I ate a burger for lunch.\n10649,2017/01/01,I spent 41 talking to Nevaeh on various topics in the morning.,I spent 41 talking to Nevaeh on various topics in the morning.\n10650,2017/01/01,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n10651,2017/01/02,I did biking on 2017/01/02.,I did biking on 2017/01/02.\n10652,2017/01/02,\"I had breakfast with Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily. I ate eggs, sausages, and bread.\"\n10653,2017/01/02,\"I spent 34 talking to Eva, Nora, Kinsley on various topics in the morning.\",\"I spent 34 talking to Eva, Nora, Kinsley on various topics in the morning.\"\n10654,2017/01/02,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n10655,2017/01/03,I had lunch with Rylee. I ate fish and chips.,I had lunch with Rylee. I ate fish and chips.\n10656,2017/01/04,\"I bought some apples, sports drinks, toothbrush from the grocery store. I saw Claire, Nora at the grocery store.\",\"I bought some apples, sports drinks, toothbrush from the grocery store. I saw Claire, Nora at the grocery store.\"\n10657,2017/01/04,\"I had tacos for lunch with Emily, Kayden, Andrew, Carter\",\"I had tacos for lunch with Emily, Kayden, Andrew, Carter\"\n10658,2017/01/04,\"I had dinner with Benjamin, Avery, Willow. I ate fish and chips.\",\"I had dinner with Benjamin, Avery, Willow. I ate fish and chips.\"\n10659,2017/01/04,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n10660,2017/01/05,I did running on 2017/01/05.,I did running on 2017/01/05.\n10661,2017/01/05,\"I had pancakes for breakfast with Nora, Piper\",\"I had pancakes for breakfast with Nora, Piper\"\n10662,2017/01/05,I prepare sushi for lunch.,I prepare sushi for lunch.\n10663,2017/01/06,I did swimming on 2017/01/06.,I did swimming on 2017/01/06.\n10664,2017/01/06,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n10665,2017/01/06,I had dinner with Andrew. I ate sushi.,I had dinner with Andrew. I ate sushi.\n10666,2017/01/06,\"I spent 13 talking to Nora, Kinsley, Claire, Eva on various topics in the morning.\",\"I spent 13 talking to Nora, Kinsley, Claire, Eva on various topics in the morning.\"\n10667,2017/01/06,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n10668,2017/01/07,I did biking on 2017/01/07.,I did biking on 2017/01/07.\n10669,2017/01/07,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n10670,2017/01/08,I went on a date with Jordan on 2017/01/08 at a park,I went on a date with Jordan on 2017/01/08 at a park\n10671,2017/01/08,I did weight lifting on 2017/01/08.,I did weight lifting on 2017/01/08.\n10672,2017/01/08,\"I had breakfast with Kayden, Carter, Andrew, Emily. I ate oatmeal.\",\"I had breakfast with Kayden, Carter, Andrew, Emily. I ate oatmeal.\"\n10673,2017/01/08,\"I had steak for lunch with Jackson, Benjamin\",\"I had steak for lunch with Jackson, Benjamin\"\n10674,2017/01/08,\"I had sushi for dinner with Andrew, Carter, Kayden\",\"I had sushi for dinner with Andrew, Carter, Kayden\"\n10675,2017/01/08,\"I spent 35 talking to Piper, Rylee, Claire on various topics late in the evening.\",\"I spent 35 talking to Piper, Rylee, Claire on various topics late in the evening.\"\n10676,2017/01/09,\"I bought some bananas, raspberries, apricots, soda, body lotion, shampoo, mouth wash, conditioner from the grocery store. I saw Emily at the grocery store.\",\"I bought some bananas, raspberries, apricots, soda, body lotion, shampoo, mouth wash, conditioner from the grocery store. I saw Emily at the grocery store.\"\n10677,2017/01/09,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n10678,2017/01/09,\"I spent 48 talking to Piper, Avery, Eva, Claire on various topics in the morning.\",\"I spent 48 talking to Piper, Avery, Eva, Claire on various topics in the morning.\"\n10679,2017/01/09,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n10680,2017/01/10,I did biking on 2017/01/10.,I did biking on 2017/01/10.\n10681,2017/01/10,I had tacos for dinner with Kayden,I had tacos for dinner with Kayden\n10682,2017/01/10,\"I spent 52 talking to Nora, Piper on various topics in the morning.\",\"I spent 52 talking to Nora, Piper on various topics in the morning.\"\n10683,2017/01/10,\"I spent 46 talking to Rylee, Lydia, Eva, Layla on various topics in the early evening.\",\"I spent 46 talking to Rylee, Lydia, Eva, Layla on various topics in the early evening.\"\n10684,2017/01/10,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n10685,2017/01/10,I spent 9 minutes watching news on TV today.,I spent 9 minutes watching news on TV today.\n10686,2017/01/11,I ate indian food for lunch.,I ate indian food for lunch.\n10687,2017/01/11,I ate indian food for dinner.,I ate indian food for dinner.\n10688,2017/01/11,\"I spent 33 talking to Kinsley, Layla, Eva, Rylee on various topics in the late afternoon.\",\"I spent 33 talking to Kinsley, Layla, Eva, Rylee on various topics in the late afternoon.\"\n10689,2017/01/11,I spent 43 minutes on news today.,I spent 43 minutes on news today.\n10690,2017/01/12,I did hiking on 2017/01/12.,I did hiking on 2017/01/12.\n10691,2017/01/12,\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\"\n10692,2017/01/12,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n10693,2017/01/12,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n10694,2017/01/13,\"I entertained Kayden, Andrew at my place on 2017/01/13 and cook air-fryer brats, swedish meatball recipe\",\"I entertained Kayden, Andrew at my place on 2017/01/13 and cook air-fryer brats, swedish meatball recipe\"\n10695,2017/01/13,I went on a date with Jaxon on 2017/01/13 at a restaurant,I went on a date with Jaxon on 2017/01/13 at a restaurant\n10696,2017/01/13,\"I had breakfast with Lydia, Piper, Olivia, Rylee, Claire, Piper, Kinsley. I ate cereals.\",\"I had breakfast with Lydia, Piper, Olivia, Rylee, Claire, Piper, Kinsley. I ate cereals.\"\n10697,2017/01/13,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n10698,2017/01/13,I spent 46 talking to Piper on various topics late in the evening.,I spent 46 talking to Piper on various topics late in the evening.\n10699,2017/01/14,\"I bought some apricots, peaches, mineral water, milk, facial wash online.\",\"I bought some apricots, peaches, mineral water, milk, facial wash online.\"\n10700,2017/01/14,I did swimming on 2017/01/14.,I did swimming on 2017/01/14.\n10701,2017/01/14,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n10702,2017/01/14,I ate tacos for dinner.,I ate tacos for dinner.\n10703,2017/01/14,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n10704,2017/01/15,I did weight lifting on 2017/01/15.,I did weight lifting on 2017/01/15.\n10705,2017/01/15,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n10706,2017/01/16,I did running on 2017/01/16.,I did running on 2017/01/16.\n10707,2017/01/16,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n10708,2017/01/16,I had lunch. I ate steak.,I had lunch. I ate steak.\n10709,2017/01/16,\"I had chinese food for dinner with Jackson, Benjamin, Avery, Willow\",\"I had chinese food for dinner with Jackson, Benjamin, Avery, Willow\"\n10710,2017/01/16,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n10711,2017/01/17,I did running on 2017/01/17.,I did running on 2017/01/17.\n10712,2017/01/17,\"I had indian food for lunch with Kayden, Andrew, Emily\",\"I had indian food for lunch with Kayden, Andrew, Emily\"\n10713,2017/01/17,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n10714,2017/01/18,\"On 2017/01/18, I took Hailey on a date to a park\",\"On 2017/01/18, I took Hailey on a date to a park\"\n10715,2017/01/18,I did hiking on 2017/01/18.,I did hiking on 2017/01/18.\n10716,2017/01/18,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n10717,2017/01/18,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n10718,2017/01/18,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n10719,2017/01/19,\"I bought some watermelons, pineapple juice, conditioner, mouth wash, toothbrush, toothpaste online.\",\"I bought some watermelons, pineapple juice, conditioner, mouth wash, toothbrush, toothpaste online.\"\n10720,2017/01/19,I did biking on 2017/01/19.,I did biking on 2017/01/19.\n10721,2017/01/19,I had breakfast with Emily. I ate toast and cheese.,I had breakfast with Emily. I ate toast and cheese.\n10722,2017/01/19,I had sandwich for dinner with Willow,I had sandwich for dinner with Willow\n10723,2017/01/19,\"I spent 27 talking to Layla, Piper, Olivia on various topics in the early evening.\",\"I spent 27 talking to Layla, Piper, Olivia on various topics in the early evening.\"\n10724,2017/01/19,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n10725,2017/01/20,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n10726,2017/01/20,\"I spent 53 talking to Hazel, Kinsley on various topics during lunch hours.\",\"I spent 53 talking to Hazel, Kinsley on various topics during lunch hours.\"\n10727,2017/01/20,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n10728,2017/01/21,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n10729,2017/01/21,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n10730,2017/01/22,I did hiking on 2017/01/22.,I did hiking on 2017/01/22.\n10731,2017/01/22,\"I had pancakes for breakfast with Kayden, Emily\",\"I had pancakes for breakfast with Kayden, Emily\"\n10732,2017/01/22,\"I had dinner with Nevaeh, Avery, Layla, Eva, Kinsley, Hazel, Lydia, Piper. I ate steak.\",\"I had dinner with Nevaeh, Avery, Layla, Eva, Kinsley, Hazel, Lydia, Piper. I ate steak.\"\n10733,2017/01/22,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n10734,2017/01/22,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n10735,2017/01/23,I did biking on 2017/01/23.,I did biking on 2017/01/23.\n10736,2017/01/23,I prepare indian food for dinner.,I prepare indian food for dinner.\n10737,2017/01/23,\"I spent 10 talking to Eva, Claire on various topics late in the evening.\",\"I spent 10 talking to Eva, Claire on various topics late in the evening.\"\n10738,2017/01/23,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n10739,2017/01/24,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n10740,2017/01/24,\"I had fish and chips for dinner with Benjamin, Avery\",\"I had fish and chips for dinner with Benjamin, Avery\"\n10741,2017/01/24,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n10742,2017/01/24,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n10743,2017/01/25,\"I bought some mandarins, guava, clementines, chocolate milk, conditioner, mouthwash, paper towel from the grocery store. I saw Benjamin, Willow at the grocery store.\",\"I bought some mandarins, guava, clementines, chocolate milk, conditioner, mouthwash, paper towel from the grocery store. I saw Benjamin, Willow at the grocery store.\"\n10744,2017/01/25,I did hiking on 2017/01/25.,I did hiking on 2017/01/25.\n10745,2017/01/25,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n10746,2017/01/25,\"I spent 46 talking to Kinsley, Rylee on various topics late in the evening.\",\"I spent 46 talking to Kinsley, Rylee on various topics late in the evening.\"\n10747,2017/01/25,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n10748,2017/01/26,I went on a date with Elias on 2017/01/26 at a restaurant,I went on a date with Elias on 2017/01/26 at a restaurant\n10749,2017/01/26,I did weight lifting on 2017/01/26.,I did weight lifting on 2017/01/26.\n10750,2017/01/26,\"I had dinner with Avery, Jackson, Willow. I ate indian food.\",\"I had dinner with Avery, Jackson, Willow. I ate indian food.\"\n10751,2017/01/27,I did running on 2017/01/27.,I did running on 2017/01/27.\n10752,2017/01/27,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n10753,2017/01/27,\"I had lunch with Carter, Emily, Kayden. I ate tacos.\",\"I had lunch with Carter, Emily, Kayden. I ate tacos.\"\n10754,2017/01/27,I ate indian food for dinner.,I ate indian food for dinner.\n10755,2017/01/27,\"I spent 21 talking to Claire, Lydia, Rylee on various topics during lunch hours.\",\"I spent 21 talking to Claire, Lydia, Rylee on various topics during lunch hours.\"\n10756,2017/01/27,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n10757,2017/01/27,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n10758,2017/01/28,I prepare indian food for lunch.,I prepare indian food for lunch.\n10759,2017/01/28,\"I spent 12 talking to Olivia, Eva, Hazel on various topics in the late afternoon.\",\"I spent 12 talking to Olivia, Eva, Hazel on various topics in the late afternoon.\"\n10760,2017/01/28,\"I spent 32 talking to Nora, Eva, Nevaeh, Layla on various topics in the early afternoon.\",\"I spent 32 talking to Nora, Eva, Nevaeh, Layla on various topics in the early afternoon.\"\n10761,2017/01/28,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n10762,2017/01/28,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n10763,2017/01/29,I went on a date with Cora on 2017/01/29 at a park,I went on a date with Cora on 2017/01/29 at a park\n10764,2017/01/29,I did HIIT on 2017/01/29.,I did HIIT on 2017/01/29.\n10765,2017/01/29,\"I had fish and chips for lunch with Carter, Kayden, Andrew, Emily\",\"I had fish and chips for lunch with Carter, Kayden, Andrew, Emily\"\n10766,2017/01/29,\"I had sushi for dinner with Carter, Emily\",\"I had sushi for dinner with Carter, Emily\"\n10767,2017/01/29,\"I talked to Claire, Lydia, Piper, Hazel for 31 minutes in the morning.\",\"I talked to Claire, Lydia, Piper, Hazel for 31 minutes in the morning.\"\n10768,2017/01/29,\"I talked to Kinsley, Piper, Rylee, Eva for 55 minutes in the early evening.\",\"I talked to Kinsley, Piper, Rylee, Eva for 55 minutes in the early evening.\"\n10769,2017/01/29,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n10770,2017/01/30,\"I bought some peaches, bananas, cherres, watermelons, sports drinks, guava juice, tea, toothpaste, paper towel, mouth wash online.\",\"I bought some peaches, bananas, cherres, watermelons, sports drinks, guava juice, tea, toothpaste, paper towel, mouth wash online.\"\n10771,2017/01/30,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n10772,2017/01/30,I ate a burger for lunch.,I ate a burger for lunch.\n10773,2017/01/30,\"I spent 39 talking to Lydia, Piper, Kinsley, Layla on various topics late in the evening.\",\"I spent 39 talking to Lydia, Piper, Kinsley, Layla on various topics late in the evening.\"\n10774,2017/01/30,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n10775,2017/01/31,I had dinner with Kayden. I ate sandwich.,I had dinner with Kayden. I ate sandwich.\n10776,2017/01/31,\"I talked to Piper, Kinsley, Hazel for 43 minutes in the late afternoon.\",\"I talked to Piper, Kinsley, Hazel for 43 minutes in the late afternoon.\"\n10777,2017/01/31,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n10778,2017/01/31,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n10779,2017/02/01,\"I had dinner with Carter, Emily, Andrew, Kayden. I ate steak.\",\"I had dinner with Carter, Emily, Andrew, Kayden. I ate steak.\"\n10780,2017/02/02,\"I had lunch with Avery, Benjamin. I ate fish and chips.\",\"I had lunch with Avery, Benjamin. I ate fish and chips.\"\n10781,2017/02/02,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n10782,2017/02/02,\"I spent 11 talking to Olivia, Layla, Eva on various topics in the early afternoon.\",\"I spent 11 talking to Olivia, Layla, Eva on various topics in the early afternoon.\"\n10783,2017/02/02,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n10784,2017/02/02,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n10785,2017/02/03,\"I had cereals for breakfast with Andrew, Carter\",\"I had cereals for breakfast with Andrew, Carter\"\n10786,2017/02/03,I ate indian food for dinner.,I ate indian food for dinner.\n10787,2017/02/03,\"I spent 26 talking to Nevaeh, Hazel, Nora on various topics during lunch hours.\",\"I spent 26 talking to Nevaeh, Hazel, Nora on various topics during lunch hours.\"\n10788,2017/02/04,I went on a date with Scarlett on 2017/02/04 at a park,I went on a date with Scarlett on 2017/02/04 at a park\n10789,2017/02/04,I did hiking on 2017/02/04.,I did hiking on 2017/02/04.\n10790,2017/02/04,I ate tacos for dinner.,I ate tacos for dinner.\n10791,2017/02/04,I spent 29 talking to Piper on various topics in the late afternoon.,I spent 29 talking to Piper on various topics in the late afternoon.\n10792,2017/02/05,\"I spent time gardening on 2017/02/05 with Carter, Andrew.\",\"I spent time gardening on 2017/02/05 with Carter, Andrew.\"\n10793,2017/02/05,I did weight lifting on 2017/02/05.,I did weight lifting on 2017/02/05.\n10794,2017/02/05,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n10795,2017/02/05,I had a burger for dinner with Carter,I had a burger for dinner with Carter\n10796,2017/02/05,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n10797,2017/02/05,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n10798,2017/02/06,I did swimming on 2017/02/06.,I did swimming on 2017/02/06.\n10799,2017/02/06,\"I had breakfast with Avery, Jackson, Willow. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Jackson, Willow. I ate peanut-butter-jam.\"\n10800,2017/02/06,I had lunch. I ate steak.,I had lunch. I ate steak.\n10801,2017/02/06,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n10802,2017/02/07,I went on a date with Adrian on 2017/02/07 at a park,I went on a date with Adrian on 2017/02/07 at a park\n10803,2017/02/07,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n10804,2017/02/07,\"I had pasta for lunch with Andrew, Kayden\",\"I had pasta for lunch with Andrew, Kayden\"\n10805,2017/02/07,I had dinner. I ate steak.,I had dinner. I ate steak.\n10806,2017/02/07,I talked to Piper for 36 minutes in the morning.,I talked to Piper for 36 minutes in the morning.\n10807,2017/02/07,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n10808,2017/02/08,I went on a date with Nevaeh on 2017/02/08 at a coffee Shop,I went on a date with Nevaeh on 2017/02/08 at a coffee Shop\n10809,2017/02/08,I really enjoyed working out on 2017/02/08,I really enjoyed working out on 2017/02/08\n10810,2017/02/08,\"I bought some apricots, chocolate milk, apple juice, soda, body lotion, mouthwash online.\",\"I bought some apricots, chocolate milk, apple juice, soda, body lotion, mouthwash online.\"\n10811,2017/02/08,I had breakfast with Willow. I ate oatmeal.,I had breakfast with Willow. I ate oatmeal.\n10812,2017/02/08,\"I spent 50 talking to Nevaeh, Layla, Claire on various topics during lunch hours.\",\"I spent 50 talking to Nevaeh, Layla, Claire on various topics during lunch hours.\"\n10813,2017/02/08,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n10814,2017/02/09,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n10815,2017/02/09,I prepare a burger for dinner.,I prepare a burger for dinner.\n10816,2017/02/09,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n10817,2017/02/10,\"I had cereals for breakfast with Andrew, Kayden\",\"I had cereals for breakfast with Andrew, Kayden\"\n10818,2017/02/10,\"I had sandwich for lunch with Nora, Avery, Piper, Kinsley, Olivia, Eva, Hazel, Piper, Rylee, Layla, Lydia\",\"I had sandwich for lunch with Nora, Avery, Piper, Kinsley, Olivia, Eva, Hazel, Piper, Rylee, Layla, Lydia\"\n10819,2017/02/10,I prepare indian food for dinner.,I prepare indian food for dinner.\n10820,2017/02/10,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n10821,2017/02/11,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n10822,2017/02/11,\"I had dinner with Carter, Andrew, Kayden, Emily. I ate pasta.\",\"I had dinner with Carter, Andrew, Kayden, Emily. I ate pasta.\"\n10823,2017/02/11,\"I talked to Avery, Nora for 17 minutes in the early evening.\",\"I talked to Avery, Nora for 17 minutes in the early evening.\"\n10824,2017/02/11,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n10825,2017/02/12,I went on a date with Eli on 2017/02/12 at a boba shop,I went on a date with Eli on 2017/02/12 at a boba shop\n10826,2017/02/12,\"I went grocery shopping. I bought some peaches, mangos, raspberries, cherres, pineapple juice, tea, chocolate milk, sports drinks, and toothbrush, shaving cream, mouth wash, facial wash\",\"I went grocery shopping. I bought some peaches, mangos, raspberries, cherres, pineapple juice, tea, chocolate milk, sports drinks, and toothbrush, shaving cream, mouth wash, facial wash\"\n10827,2017/02/12,I did running on 2017/02/12.,I did running on 2017/02/12.\n10828,2017/02/12,\"I had lunch with Andrew, Carter, Kayden, Emily. I ate sushi.\",\"I had lunch with Andrew, Carter, Kayden, Emily. I ate sushi.\"\n10829,2017/02/12,\"I had sandwich for dinner with Andrew, Emily\",\"I had sandwich for dinner with Andrew, Emily\"\n10830,2017/02/12,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n10831,2017/02/13,I did weight lifting on 2017/02/13.,I did weight lifting on 2017/02/13.\n10832,2017/02/13,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n10833,2017/02/13,\"I spent 30 talking to Olivia, Kinsley, Rylee, Eva on various topics in the morning.\",\"I spent 30 talking to Olivia, Kinsley, Rylee, Eva on various topics in the morning.\"\n10834,2017/02/14,I did running on 2017/02/14.,I did running on 2017/02/14.\n10835,2017/02/14,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n10836,2017/02/14,\"I spent 34 talking to Layla, Hazel, Piper, Rylee on various topics in the late afternoon.\",\"I spent 34 talking to Layla, Hazel, Piper, Rylee on various topics in the late afternoon.\"\n10837,2017/02/14,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n10838,2017/02/14,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n10839,2017/02/15,I spent 29 talking to Eva on various topics late in the evening.,I spent 29 talking to Eva on various topics late in the evening.\n10840,2017/02/15,I spent 30 minutes watching a tv series on TV today.,I spent 30 minutes watching a tv series on TV today.\n10841,2017/02/16,I did running on 2017/02/16.,I did running on 2017/02/16.\n10842,2017/02/16,I ate sandwich for lunch.,I ate sandwich for lunch.\n10843,2017/02/16,I had sandwich for dinner with Andrew,I had sandwich for dinner with Andrew\n10844,2017/02/16,\"I spent 20 talking to Olivia, Piper, Layla, Hazel on various topics in the early evening.\",\"I spent 20 talking to Olivia, Piper, Layla, Hazel on various topics in the early evening.\"\n10845,2017/02/16,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n10846,2017/02/16,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n10847,2017/02/17,I went on a date with Adam on 2017/02/17 at a park,I went on a date with Adam on 2017/02/17 at a park\n10848,2017/02/17,I spent time learning a language on 2017/02/17 with Kinsley.,I spent time learning a language on 2017/02/17 with Kinsley.\n10849,2017/02/17,\"I went grocery shopping. I bought some apples, guava, pears, blackberries, sports drinks, orange juice, guava juice, and conditioner\",\"I went grocery shopping. I bought some apples, guava, pears, blackberries, sports drinks, orange juice, guava juice, and conditioner\"\n10850,2017/02/17,I did biking on 2017/02/17.,I did biking on 2017/02/17.\n10851,2017/02/17,\"I spent 31 talking to Rylee, Kinsley, Olivia on various topics in the morning.\",\"I spent 31 talking to Rylee, Kinsley, Olivia on various topics in the morning.\"\n10852,2017/02/17,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n10853,2017/02/18,I did biking on 2017/02/18.,I did biking on 2017/02/18.\n10854,2017/02/18,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n10855,2017/02/19,I did weight lifting on 2017/02/19.,I did weight lifting on 2017/02/19.\n10856,2017/02/19,I spent 53 minutes on a book today.,I spent 53 minutes on a book today.\n10857,2017/02/19,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n10858,2017/02/20,\"I went grocery shopping with Emily, Andrew. I bought some pineapples, guava, clementines, strawberries, apple juice, guava juice, milk, and shampoo, toilet paper, toothpaste, mouth wash\",\"I went grocery shopping with Emily, Andrew. I bought some pineapples, guava, clementines, strawberries, apple juice, guava juice, milk, and shampoo, toilet paper, toothpaste, mouth wash\"\n10859,2017/02/20,I did HIIT on 2017/02/20.,I did HIIT on 2017/02/20.\n10860,2017/02/20,\"I had breakfast with Willow, Avery, Benjamin. I ate toast and cheese.\",\"I had breakfast with Willow, Avery, Benjamin. I ate toast and cheese.\"\n10861,2017/02/20,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n10862,2017/02/20,I spent 34 talking to Olivia on various topics late in the evening.,I spent 34 talking to Olivia on various topics late in the evening.\n10863,2017/02/20,I spent 39 minutes watching a movie on TV today.,I spent 39 minutes watching a movie on TV today.\n10864,2017/02/21,I did biking on 2017/02/21.,I did biking on 2017/02/21.\n10865,2017/02/21,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n10866,2017/02/21,I prepare a burger for dinner.,I prepare a burger for dinner.\n10867,2017/02/21,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n10868,2017/02/22,\"I had cereals for breakfast with Piper, Nora\",\"I had cereals for breakfast with Piper, Nora\"\n10869,2017/02/22,\"I had pasta for lunch with Andrew, Emily, Kayden\",\"I had pasta for lunch with Andrew, Emily, Kayden\"\n10870,2017/02/22,\"I had dinner with Emily, Kayden, Carter, Andrew. I ate fish and chips.\",\"I had dinner with Emily, Kayden, Carter, Andrew. I ate fish and chips.\"\n10871,2017/02/22,I spent 9 talking to Nora on various topics in the morning.,I spent 9 talking to Nora on various topics in the morning.\n10872,2017/02/22,I spent 54 talking to Hazel on various topics in the late afternoon.,I spent 54 talking to Hazel on various topics in the late afternoon.\n10873,2017/02/22,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n10874,2017/02/23,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n10875,2017/02/23,\"I had dinner with Carter, Emily, Kayden. I ate pasta.\",\"I had dinner with Carter, Emily, Kayden. I ate pasta.\"\n10876,2017/02/24,\"On 2017/02/24, I took Emery on a date to a park\",\"On 2017/02/24, I took Emery on a date to a park\"\n10877,2017/02/24,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n10878,2017/02/25,I did weight lifting on 2017/02/25.,I did weight lifting on 2017/02/25.\n10879,2017/02/25,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n10880,2017/02/26,\"I had lunch with Kayden, Emily, Carter, Andrew. I ate chinese food.\",\"I had lunch with Kayden, Emily, Carter, Andrew. I ate chinese food.\"\n10881,2017/02/26,\"I had steak for dinner with Andrew, Kayden, Carter\",\"I had steak for dinner with Andrew, Kayden, Carter\"\n10882,2017/02/26,\"I talked to Eva, Hazel, Nevaeh for 54 minutes in the early afternoon.\",\"I talked to Eva, Hazel, Nevaeh for 54 minutes in the early afternoon.\"\n10883,2017/02/27,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n10884,2017/02/27,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n10885,2017/02/27,\"I spent 17 talking to Piper, Nevaeh, Avery on various topics in the late afternoon.\",\"I spent 17 talking to Piper, Nevaeh, Avery on various topics in the late afternoon.\"\n10886,2017/02/28,\"I had pasta for lunch with Jackson, Avery\",\"I had pasta for lunch with Jackson, Avery\"\n10887,2017/02/28,\"I talked to Eva, Nora for 9 minutes during lunch hours.\",\"I talked to Eva, Nora for 9 minutes during lunch hours.\"\n10888,2017/03/01,I did running on 2017/03/01.,I did running on 2017/03/01.\n10889,2017/03/01,\"I had breakfast with Nevaeh, Hazel, Olivia. I ate eggs, sausages, and bread.\",\"I had breakfast with Nevaeh, Hazel, Olivia. I ate eggs, sausages, and bread.\"\n10890,2017/03/01,\"I spent 22 talking to Nora, Lydia on various topics in the early afternoon.\",\"I spent 22 talking to Nora, Lydia on various topics in the early afternoon.\"\n10891,2017/03/01,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n10892,2017/03/02,I did hiking on 2017/03/02.,I did hiking on 2017/03/02.\n10893,2017/03/02,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n10894,2017/03/02,I prepare indian food for lunch.,I prepare indian food for lunch.\n10895,2017/03/02,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n10896,2017/03/02,\"I talked to Avery, Claire for 44 minutes in the early afternoon.\",\"I talked to Avery, Claire for 44 minutes in the early afternoon.\"\n10897,2017/03/02,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n10898,2017/03/03,\"I bought some blackberries, bananas, cherres, guava juice, chocolate milk, paper towel from the grocery store. I saw Carter at the grocery store.\",\"I bought some blackberries, bananas, cherres, guava juice, chocolate milk, paper towel from the grocery store. I saw Carter at the grocery store.\"\n10899,2017/03/03,I prepare tacos for dinner.,I prepare tacos for dinner.\n10900,2017/03/03,I spent 18 talking to Piper on various topics in the early evening.,I spent 18 talking to Piper on various topics in the early evening.\n10901,2017/03/04,I prepare a burger for lunch.,I prepare a burger for lunch.\n10902,2017/03/04,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n10903,2017/03/05,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n10904,2017/03/05,\"I talked to Lydia, Nevaeh, Avery for 32 minutes in the early afternoon.\",\"I talked to Lydia, Nevaeh, Avery for 32 minutes in the early afternoon.\"\n10905,2017/03/05,\"I talked to Eva, Avery, Hazel, Claire for 24 minutes in the early evening.\",\"I talked to Eva, Avery, Hazel, Claire for 24 minutes in the early evening.\"\n10906,2017/03/05,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n10907,2017/03/06,\"I bought some strawberries, nectarines, clementines, guava, sports drinks, apple juice, coffee, tea, shaving cream, mouth wash, toothpaste from the grocery store. I saw Rylee, Eva, Lydia, Nora, Hazel, Nevaeh, Piper, Piper at the grocery store.\",\"I bought some strawberries, nectarines, clementines, guava, sports drinks, apple juice, coffee, tea, shaving cream, mouth wash, toothpaste from the grocery store. I saw Rylee, Eva, Lydia, Nora, Hazel, Nevaeh, Piper, Piper at the grocery store.\"\n10908,2017/03/06,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n10909,2017/03/06,I ate a burger for dinner.,I ate a burger for dinner.\n10910,2017/03/06,\"I spent 44 talking to Hazel, Nora, Piper, Kinsley on various topics in the late afternoon.\",\"I spent 44 talking to Hazel, Nora, Piper, Kinsley on various topics in the late afternoon.\"\n10911,2017/03/06,\"I spent 49 talking to Layla, Hazel, Eva, Rylee on various topics in the morning.\",\"I spent 49 talking to Layla, Hazel, Eva, Rylee on various topics in the morning.\"\n10912,2017/03/06,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n10913,2017/03/06,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n10914,2017/03/07,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n10915,2017/03/07,I ate tacos for dinner.,I ate tacos for dinner.\n10916,2017/03/07,\"I spent 31 talking to Rylee, Claire, Lydia on various topics late in the evening.\",\"I spent 31 talking to Rylee, Claire, Lydia on various topics late in the evening.\"\n10917,2017/03/08,\"I was cooking cream of celery soup recipe on 2017/03/08 with Kayden, Emily, Carter, Andrew at my place\",\"I was cooking cream of celery soup recipe on 2017/03/08 with Kayden, Emily, Carter, Andrew at my place\"\n10918,2017/03/08,I did biking on 2017/03/08.,I did biking on 2017/03/08.\n10919,2017/03/08,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n10920,2017/03/08,I ate indian food for lunch.,I ate indian food for lunch.\n10921,2017/03/08,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n10922,2017/03/08,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n10923,2017/03/09,I did biking on 2017/03/09.,I did biking on 2017/03/09.\n10924,2017/03/09,\"I spent 23 talking to Eva, Layla on various topics during lunch hours.\",\"I spent 23 talking to Eva, Layla on various topics during lunch hours.\"\n10925,2017/03/10,\"I went grocery shopping with Carter, Andrew, Kayden. I bought some nectarines, blueberries, blackberries, strawberries, tea, mango juice, apple juice, and mouth wash, mouthwash, toilet paper, facial wash\",\"I went grocery shopping with Carter, Andrew, Kayden. I bought some nectarines, blueberries, blackberries, strawberries, tea, mango juice, apple juice, and mouth wash, mouthwash, toilet paper, facial wash\"\n10926,2017/03/10,\"I had breakfast with Carter, Kayden, Emily. I ate pancakes.\",\"I had breakfast with Carter, Kayden, Emily. I ate pancakes.\"\n10927,2017/03/10,I ate indian food for lunch.,I ate indian food for lunch.\n10928,2017/03/10,I prepare pasta for dinner.,I prepare pasta for dinner.\n10929,2017/03/10,I talked to Claire for 37 minutes in the early evening.,I talked to Claire for 37 minutes in the early evening.\n10930,2017/03/10,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n10931,2017/03/11,I did biking on 2017/03/11.,I did biking on 2017/03/11.\n10932,2017/03/11,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n10933,2017/03/11,\"I talked to Kinsley, Nevaeh for 9 minutes in the morning.\",\"I talked to Kinsley, Nevaeh for 9 minutes in the morning.\"\n10934,2017/03/11,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n10935,2017/03/11,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n10936,2017/03/12,I did hiking on 2017/03/12.,I did hiking on 2017/03/12.\n10937,2017/03/12,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n10938,2017/03/12,\"I had lunch with Rylee, Eva. I ate indian food.\",\"I had lunch with Rylee, Eva. I ate indian food.\"\n10939,2017/03/12,\"I talked to Rylee, Olivia, Kinsley, Claire for 55 minutes late in the evening.\",\"I talked to Rylee, Olivia, Kinsley, Claire for 55 minutes late in the evening.\"\n10940,2017/03/13,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n10941,2017/03/13,I had lunch. I ate steak.,I had lunch. I ate steak.\n10942,2017/03/13,I ate chinese food for dinner.,I ate chinese food for dinner.\n10943,2017/03/13,\"I spent 54 talking to Piper, Nevaeh, Kinsley on various topics in the early afternoon.\",\"I spent 54 talking to Piper, Nevaeh, Kinsley on various topics in the early afternoon.\"\n10944,2017/03/14,\"I had pasta for dinner with Emily, Carter, Andrew, Kayden\",\"I had pasta for dinner with Emily, Carter, Andrew, Kayden\"\n10945,2017/03/14,\"I spent 40 talking to Kinsley, Rylee, Avery, Nora on various topics in the morning.\",\"I spent 40 talking to Kinsley, Rylee, Avery, Nora on various topics in the morning.\"\n10946,2017/03/14,\"I talked to Piper, Nevaeh for 12 minutes in the early afternoon.\",\"I talked to Piper, Nevaeh for 12 minutes in the early afternoon.\"\n10947,2017/03/14,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n10948,2017/03/15,I went on a date with Lambert on 2017/03/15 at a coffee Shop,I went on a date with Lambert on 2017/03/15 at a coffee Shop\n10949,2017/03/15,I did running on 2017/03/15.,I did running on 2017/03/15.\n10950,2017/03/15,\"I had cereals for breakfast with Nevaeh, Lydia, Eva, Claire, Layla, Olivia, Rylee, Nora, Kinsley, Hazel, Piper, Avery\",\"I had cereals for breakfast with Nevaeh, Lydia, Eva, Claire, Layla, Olivia, Rylee, Nora, Kinsley, Hazel, Piper, Avery\"\n10951,2017/03/15,I ate a burger for lunch.,I ate a burger for lunch.\n10952,2017/03/15,\"I talked to Rylee, Nora for 25 minutes late in the evening.\",\"I talked to Rylee, Nora for 25 minutes late in the evening.\"\n10953,2017/03/15,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n10954,2017/03/16,I spent some time yoga on 2017/03/16.,I spent some time yoga on 2017/03/16.\n10955,2017/03/16,I had lunch with Andrew. I ate indian food.,I had lunch with Andrew. I ate indian food.\n10956,2017/03/16,\"I talked to Piper, Piper, Olivia, Eva for 30 minutes in the early afternoon.\",\"I talked to Piper, Piper, Olivia, Eva for 30 minutes in the early afternoon.\"\n10957,2017/03/17,I did swimming on 2017/03/17.,I did swimming on 2017/03/17.\n10958,2017/03/17,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n10959,2017/03/17,I spent 7 talking to Layla on various topics in the late afternoon.,I spent 7 talking to Layla on various topics in the late afternoon.\n10960,2017/03/17,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n10961,2017/03/17,I spent 7 minutes watching a movie on TV today.,I spent 7 minutes watching a movie on TV today.\n10962,2017/03/18,\"I went grocery shopping with Carter, Kayden, Emily. I bought some raspberries, chocolate milk, milk, mango juice, and shaving cream\",\"I went grocery shopping with Carter, Kayden, Emily. I bought some raspberries, chocolate milk, milk, mango juice, and shaving cream\"\n10963,2017/03/18,I did biking on 2017/03/18.,I did biking on 2017/03/18.\n10964,2017/03/18,I ate cereals for breakfast.,I ate cereals for breakfast.\n10965,2017/03/18,I prepare a burger for dinner.,I prepare a burger for dinner.\n10966,2017/03/18,I spent 36 talking to Hazel on various topics in the late afternoon.,I spent 36 talking to Hazel on various topics in the late afternoon.\n10967,2017/03/18,\"I spent 48 talking to Rylee, Eva on various topics during lunch hours.\",\"I spent 48 talking to Rylee, Eva on various topics during lunch hours.\"\n10968,2017/03/19,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n10969,2017/03/19,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n10970,2017/03/19,\"I talked to Nevaeh, Claire, Avery, Olivia for 42 minutes in the late afternoon.\",\"I talked to Nevaeh, Claire, Avery, Olivia for 42 minutes in the late afternoon.\"\n10971,2017/03/20,I did biking on 2017/03/20.,I did biking on 2017/03/20.\n10972,2017/03/20,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n10973,2017/03/21,I spent time working out on 2017/03/21 with Olivia.,I spent time working out on 2017/03/21 with Olivia.\n10974,2017/03/21,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n10975,2017/03/21,\"I had chinese food for dinner with Rylee, Hazel, Eva, Nevaeh, Piper, Olivia, Piper, Nora, Kinsley, Claire, Lydia, Avery\",\"I had chinese food for dinner with Rylee, Hazel, Eva, Nevaeh, Piper, Olivia, Piper, Nora, Kinsley, Claire, Lydia, Avery\"\n10976,2017/03/21,\"I spent 26 talking to Kinsley, Nora on various topics in the late afternoon.\",\"I spent 26 talking to Kinsley, Nora on various topics in the late afternoon.\"\n10977,2017/03/22,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n10978,2017/03/23,I went on a date with Lydia on 2017/03/23 at a coffee Shop,I went on a date with Lydia on 2017/03/23 at a coffee Shop\n10979,2017/03/23,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n10980,2017/03/23,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n10981,2017/03/23,\"I had dinner with Layla, Olivia, Piper, Lydia, Eva. I ate fish and chips.\",\"I had dinner with Layla, Olivia, Piper, Lydia, Eva. I ate fish and chips.\"\n10982,2017/03/23,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n10983,2017/03/23,I watched a tv series for 41 minutes on TV today.,I watched a tv series for 41 minutes on TV today.\n10984,2017/03/24,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n10985,2017/03/24,\"I had dinner with Kayden, Andrew, Emily, Carter. I ate tacos.\",\"I had dinner with Kayden, Andrew, Emily, Carter. I ate tacos.\"\n10986,2017/03/24,\"I talked to Nevaeh, Avery for 31 minutes late in the evening.\",\"I talked to Nevaeh, Avery for 31 minutes late in the evening.\"\n10987,2017/03/24,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n10988,2017/03/25,I had steak for lunch with Willow,I had steak for lunch with Willow\n10989,2017/03/25,\"I had fish and chips for dinner with Carter, Emily, Andrew, Kayden\",\"I had fish and chips for dinner with Carter, Emily, Andrew, Kayden\"\n10990,2017/03/26,I did swimming on 2017/03/26.,I did swimming on 2017/03/26.\n10991,2017/03/26,\"I had breakfast with Claire, Olivia. I ate eggs, sausages, and bread.\",\"I had breakfast with Claire, Olivia. I ate eggs, sausages, and bread.\"\n10992,2017/03/26,\"I had steak for lunch with Kinsley, Claire, Lydia, Hazel, Olivia\",\"I had steak for lunch with Kinsley, Claire, Lydia, Hazel, Olivia\"\n10993,2017/03/26,\"I talked to Eva, Piper, Nevaeh, Olivia for 35 minutes in the early evening.\",\"I talked to Eva, Piper, Nevaeh, Olivia for 35 minutes in the early evening.\"\n10994,2017/03/26,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n10995,2017/03/27,\"I had eggs, sausages, and bread for breakfast with Rylee, Nora, Kinsley, Layla\",\"I had eggs, sausages, and bread for breakfast with Rylee, Nora, Kinsley, Layla\"\n10996,2017/03/27,\"I had steak for dinner with Eva, Nora, Kinsley, Hazel, Piper, Avery, Piper, Lydia, Claire, Olivia, Nevaeh, Layla, Rylee\",\"I had steak for dinner with Eva, Nora, Kinsley, Hazel, Piper, Avery, Piper, Lydia, Claire, Olivia, Nevaeh, Layla, Rylee\"\n10997,2017/03/27,\"I talked to Hazel, Layla for 33 minutes during lunch hours.\",\"I talked to Hazel, Layla for 33 minutes during lunch hours.\"\n10998,2017/03/27,\"I spent 27 talking to Claire, Layla on various topics in the early evening.\",\"I spent 27 talking to Claire, Layla on various topics in the early evening.\"\n10999,2017/03/27,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n11000,2017/03/27,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n11001,2017/03/28,\"On 2017/03/28, I took Joshua on a date to a boba shop\",\"On 2017/03/28, I took Joshua on a date to a boba shop\"\n11002,2017/03/28,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n11003,2017/03/28,I spent 19 talking to Claire on various topics in the late afternoon.,I spent 19 talking to Claire on various topics in the late afternoon.\n11004,2017/03/28,\"I spent 51 talking to Piper, Kinsley, Avery, Olivia on various topics in the early afternoon.\",\"I spent 51 talking to Piper, Kinsley, Avery, Olivia on various topics in the early afternoon.\"\n11005,2017/03/28,I spent 14 minutes watching news on TV today.,I spent 14 minutes watching news on TV today.\n11006,2017/03/29,\"I had dinner with Rylee, Nevaeh. I ate indian food.\",\"I had dinner with Rylee, Nevaeh. I ate indian food.\"\n11007,2017/03/29,\"I talked to Kinsley, Piper for 9 minutes in the morning.\",\"I talked to Kinsley, Piper for 9 minutes in the morning.\"\n11008,2017/03/29,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n11009,2017/03/30,\"I spent time learning a language on 2017/03/30 with Carter, Kayden.\",\"I spent time learning a language on 2017/03/30 with Carter, Kayden.\"\n11010,2017/03/30,I did HIIT on 2017/03/30.,I did HIIT on 2017/03/30.\n11011,2017/03/30,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n11012,2017/03/30,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n11013,2017/03/30,I talked to Layla for 34 minutes in the morning.,I talked to Layla for 34 minutes in the morning.\n11014,2017/03/30,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n11015,2017/03/30,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n11016,2017/03/31,I did swimming on 2017/03/31.,I did swimming on 2017/03/31.\n11017,2017/03/31,I ate steak for dinner.,I ate steak for dinner.\n11018,2017/03/31,I spent 33 talking to Piper on various topics in the early evening.,I spent 33 talking to Piper on various topics in the early evening.\n11019,2017/04/01,I did hiking on 2017/04/01.,I did hiking on 2017/04/01.\n11020,2017/04/01,\"I had a burger for lunch with Emily, Andrew\",\"I had a burger for lunch with Emily, Andrew\"\n11021,2017/04/01,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n11022,2017/04/01,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n11023,2017/04/02,I did running on 2017/04/02.,I did running on 2017/04/02.\n11024,2017/04/02,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n11025,2017/04/02,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n11026,2017/04/03,\"I had lunch with Andrew, Carter, Kayden. I ate chinese food.\",\"I had lunch with Andrew, Carter, Kayden. I ate chinese food.\"\n11027,2017/04/03,\"I had sandwich for dinner with Layla, Claire, Nora, Eva, Rylee, Hazel, Piper, Piper, Olivia, Kinsley, Lydia, Avery, Nevaeh\",\"I had sandwich for dinner with Layla, Claire, Nora, Eva, Rylee, Hazel, Piper, Piper, Olivia, Kinsley, Lydia, Avery, Nevaeh\"\n11028,2017/04/03,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n11029,2017/04/04,\"I went grocery shopping with Emily, Andrew, Kayden, Carter. I bought some bananas, blueberries, peaches, tea, mineral water, coffee, and mouthwash, shampoo\",\"I went grocery shopping with Emily, Andrew, Kayden, Carter. I bought some bananas, blueberries, peaches, tea, mineral water, coffee, and mouthwash, shampoo\"\n11030,2017/04/04,I did biking on 2017/04/04.,I did biking on 2017/04/04.\n11031,2017/04/05,\"I bought some clementines, apples, cherres, blackberries, milk, apple juice, tea, mouthwash, body lotion, shaving cream online.\",\"I bought some clementines, apples, cherres, blackberries, milk, apple juice, tea, mouthwash, body lotion, shaving cream online.\"\n11032,2017/04/05,I did hiking on 2017/04/05.,I did hiking on 2017/04/05.\n11033,2017/04/05,I ate indian food for lunch.,I ate indian food for lunch.\n11034,2017/04/05,\"I had dinner with Rylee, Piper, Kinsley, Lydia, Nora, Nevaeh, Eva, Claire, Hazel, Layla, Avery. I ate sushi.\",\"I had dinner with Rylee, Piper, Kinsley, Lydia, Nora, Nevaeh, Eva, Claire, Hazel, Layla, Avery. I ate sushi.\"\n11035,2017/04/05,\"I talked to Rylee, Layla, Nora, Piper for 12 minutes in the early afternoon.\",\"I talked to Rylee, Layla, Nora, Piper for 12 minutes in the early afternoon.\"\n11036,2017/04/05,\"I talked to Avery, Hazel for 29 minutes in the late afternoon.\",\"I talked to Avery, Hazel for 29 minutes in the late afternoon.\"\n11037,2017/04/05,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n11038,2017/04/05,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n11039,2017/04/06,I did running on 2017/04/06.,I did running on 2017/04/06.\n11040,2017/04/06,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n11041,2017/04/06,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n11042,2017/04/07,I did HIIT on 2017/04/07.,I did HIIT on 2017/04/07.\n11043,2017/04/07,I prepare indian food for dinner.,I prepare indian food for dinner.\n11044,2017/04/07,\"I spent 53 talking to Olivia, Claire on various topics in the late afternoon.\",\"I spent 53 talking to Olivia, Claire on various topics in the late afternoon.\"\n11045,2017/04/08,\"On 2017/04/08, I took Emery on a date to a park\",\"On 2017/04/08, I took Emery on a date to a park\"\n11046,2017/04/08,I really enjoyed gardening on 2017/04/08,I really enjoyed gardening on 2017/04/08\n11047,2017/04/08,I had lunch with Carter. I ate steak.,I had lunch with Carter. I ate steak.\n11048,2017/04/08,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n11049,2017/04/08,\"I spent 31 talking to Claire, Lydia on various topics late in the evening.\",\"I spent 31 talking to Claire, Lydia on various topics late in the evening.\"\n11050,2017/04/08,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n11051,2017/04/09,\"I went grocery shopping with Avery, Jackson. I bought some pineapples, blueberries, watermelons, peaches, soda, and mouth wash, mouthwash, shampoo\",\"I went grocery shopping with Avery, Jackson. I bought some pineapples, blueberries, watermelons, peaches, soda, and mouth wash, mouthwash, shampoo\"\n11052,2017/04/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n11053,2017/04/10,I spent 20 talking to Piper on various topics during lunch hours.,I spent 20 talking to Piper on various topics during lunch hours.\n11054,2017/04/10,\"I spent 6 talking to Eva, Piper on various topics late in the evening.\",\"I spent 6 talking to Eva, Piper on various topics late in the evening.\"\n11055,2017/04/10,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n11056,2017/04/11,\"I had eggs, sausages, and bread for breakfast with Benjamin\",\"I had eggs, sausages, and bread for breakfast with Benjamin\"\n11057,2017/04/11,I ate chinese food for lunch.,I ate chinese food for lunch.\n11058,2017/04/11,I talked to Avery for 43 minutes in the morning.,I talked to Avery for 43 minutes in the morning.\n11059,2017/04/11,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n11060,2017/04/12,I did swimming on 2017/04/12.,I did swimming on 2017/04/12.\n11061,2017/04/12,I ate cereals for breakfast.,I ate cereals for breakfast.\n11062,2017/04/12,I prepare pasta for dinner.,I prepare pasta for dinner.\n11063,2017/04/12,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n11064,2017/04/13,\"I had breakfast with Nora, Lydia, Nevaeh, Eva, Claire, Kinsley, Piper, Rylee, Hazel. I ate cereals.\",\"I had breakfast with Nora, Lydia, Nevaeh, Eva, Claire, Kinsley, Piper, Rylee, Hazel. I ate cereals.\"\n11065,2017/04/13,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n11066,2017/04/13,\"I spent 39 talking to Rylee, Olivia on various topics in the early evening.\",\"I spent 39 talking to Rylee, Olivia on various topics in the early evening.\"\n11067,2017/04/13,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n11068,2017/04/13,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n11069,2017/04/14,I really enjoyed learning a language on 2017/04/14,I really enjoyed learning a language on 2017/04/14\n11070,2017/04/14,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n11071,2017/04/14,\"I had fish and chips for lunch with Kayden, Andrew, Carter\",\"I had fish and chips for lunch with Kayden, Andrew, Carter\"\n11072,2017/04/14,\"I spent 27 talking to Eva, Lydia on various topics in the early evening.\",\"I spent 27 talking to Eva, Lydia on various topics in the early evening.\"\n11073,2017/04/14,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n11074,2017/04/14,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n11075,2017/04/15,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n11076,2017/04/15,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n11077,2017/04/15,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n11078,2017/04/16,I did swimming on 2017/04/16.,I did swimming on 2017/04/16.\n11079,2017/04/16,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n11080,2017/04/16,\"I had dinner with Avery, Benjamin, Jackson. I ate a burger.\",\"I had dinner with Avery, Benjamin, Jackson. I ate a burger.\"\n11081,2017/04/16,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n11082,2017/04/17,I really enjoyed yoga on 2017/04/17,I really enjoyed yoga on 2017/04/17\n11083,2017/04/17,\"I went grocery shopping. I bought some clementines, oranges, guava, mango juice, and body lotion, shampoo, paper towel, shaving cream\",\"I went grocery shopping. I bought some clementines, oranges, guava, mango juice, and body lotion, shampoo, paper towel, shaving cream\"\n11084,2017/04/17,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n11085,2017/04/17,\"I had lunch with Avery, Claire, Kinsley, Nora, Nevaeh, Piper, Layla, Eva, Lydia. I ate tacos.\",\"I had lunch with Avery, Claire, Kinsley, Nora, Nevaeh, Piper, Layla, Eva, Lydia. I ate tacos.\"\n11086,2017/04/17,\"I had a burger for dinner with Carter, Emily\",\"I had a burger for dinner with Carter, Emily\"\n11087,2017/04/17,\"I talked to Nora, Lydia, Piper, Eva for 10 minutes in the early evening.\",\"I talked to Nora, Lydia, Piper, Eva for 10 minutes in the early evening.\"\n11088,2017/04/17,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n11089,2017/04/18,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n11090,2017/04/19,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n11091,2017/04/19,\"I had lunch with Jackson, Benjamin. I ate sandwich.\",\"I had lunch with Jackson, Benjamin. I ate sandwich.\"\n11092,2017/04/19,I spent 51 minutes watching news on TV today.,I spent 51 minutes watching news on TV today.\n11093,2017/04/20,I did biking on 2017/04/20.,I did biking on 2017/04/20.\n11094,2017/04/20,\"I had cereals for breakfast with Andrew, Emily, Carter\",\"I had cereals for breakfast with Andrew, Emily, Carter\"\n11095,2017/04/20,I prepare a burger for lunch.,I prepare a burger for lunch.\n11096,2017/04/21,I did running on 2017/04/21.,I did running on 2017/04/21.\n11097,2017/04/21,I had lunch with Emily. I ate a burger.,I had lunch with Emily. I ate a burger.\n11098,2017/04/21,\"I had dinner with Willow, Jackson, Benjamin. I ate steak.\",\"I had dinner with Willow, Jackson, Benjamin. I ate steak.\"\n11099,2017/04/21,\"I talked to Lydia, Nevaeh for 37 minutes in the early evening.\",\"I talked to Lydia, Nevaeh for 37 minutes in the early evening.\"\n11100,2017/04/21,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n11101,2017/04/22,I went on a date with Hudson on 2017/04/22 at a boba shop,I went on a date with Hudson on 2017/04/22 at a boba shop\n11102,2017/04/22,I did running on 2017/04/22.,I did running on 2017/04/22.\n11103,2017/04/22,I had steak for lunch with Willow,I had steak for lunch with Willow\n11104,2017/04/22,I had fish and chips for dinner with Andrew,I had fish and chips for dinner with Andrew\n11105,2017/04/22,\"I spent 20 talking to Eva, Rylee, Lydia on various topics during lunch hours.\",\"I spent 20 talking to Eva, Rylee, Lydia on various topics during lunch hours.\"\n11106,2017/04/22,I spent 41 minutes reading news today.,I spent 41 minutes reading news today.\n11107,2017/04/22,I spent 33 minutes watching a movie on TV today.,I spent 33 minutes watching a movie on TV today.\n11108,2017/04/23,I did swimming on 2017/04/23.,I did swimming on 2017/04/23.\n11109,2017/04/23,I had breakfast with Kayden. I ate toast and cheese.,I had breakfast with Kayden. I ate toast and cheese.\n11110,2017/04/23,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n11111,2017/04/23,\"I spent 28 talking to Eva, Lydia on various topics in the early evening.\",\"I spent 28 talking to Eva, Lydia on various topics in the early evening.\"\n11112,2017/04/23,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n11113,2017/04/24,I did swimming on 2017/04/24.,I did swimming on 2017/04/24.\n11114,2017/04/24,\"I talked to Piper, Hazel, Layla for 53 minutes in the early afternoon.\",\"I talked to Piper, Hazel, Layla for 53 minutes in the early afternoon.\"\n11115,2017/04/25,\"I talked to Lydia, Rylee, Eva for 47 minutes during lunch hours.\",\"I talked to Lydia, Rylee, Eva for 47 minutes during lunch hours.\"\n11116,2017/04/26,\"On 2017/04/26, I took Oliver on a date to a coffee Shop\",\"On 2017/04/26, I took Oliver on a date to a coffee Shop\"\n11117,2017/04/26,I did HIIT on 2017/04/26.,I did HIIT on 2017/04/26.\n11118,2017/04/26,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n11119,2017/04/26,\"I had lunch with Eva, Avery, Claire, Nora, Olivia, Piper, Rylee, Layla, Lydia, Piper, Kinsley. I ate pasta.\",\"I had lunch with Eva, Avery, Claire, Nora, Olivia, Piper, Rylee, Layla, Lydia, Piper, Kinsley. I ate pasta.\"\n11120,2017/04/26,I talked to Piper for 47 minutes late in the evening.,I talked to Piper for 47 minutes late in the evening.\n11121,2017/04/26,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n11122,2017/04/27,\"I bought some clementines, nectarines, oranges, apple juice, guava juice, facial wash, mouth wash, shampoo, paper towel from the grocery store. I saw Benjamin, Willow at the grocery store.\",\"I bought some clementines, nectarines, oranges, apple juice, guava juice, facial wash, mouth wash, shampoo, paper towel from the grocery store. I saw Benjamin, Willow at the grocery store.\"\n11123,2017/04/27,I did HIIT on 2017/04/27.,I did HIIT on 2017/04/27.\n11124,2017/04/27,I ate steak for lunch.,I ate steak for lunch.\n11125,2017/04/27,\"I spent 21 talking to Piper, Eva, Layla, Rylee on various topics late in the evening.\",\"I spent 21 talking to Piper, Eva, Layla, Rylee on various topics late in the evening.\"\n11126,2017/04/27,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n11127,2017/04/28,I did swimming on 2017/04/28.,I did swimming on 2017/04/28.\n11128,2017/04/28,\"I had breakfast with Layla, Hazel, Olivia, Nora, Kinsley. I ate toast and cheese.\",\"I had breakfast with Layla, Hazel, Olivia, Nora, Kinsley. I ate toast and cheese.\"\n11129,2017/04/28,I ate sandwich for lunch.,I ate sandwich for lunch.\n11130,2017/04/28,\"I talked to Piper, Eva for 6 minutes during lunch hours.\",\"I talked to Piper, Eva for 6 minutes during lunch hours.\"\n11131,2017/04/28,I spent 10 talking to Piper on various topics in the late afternoon.,I spent 10 talking to Piper on various topics in the late afternoon.\n11132,2017/04/29,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n11133,2017/04/29,I ate steak for lunch.,I ate steak for lunch.\n11134,2017/04/29,I spent 11 talking to Piper on various topics during lunch hours.,I spent 11 talking to Piper on various topics during lunch hours.\n11135,2017/04/29,\"I spent 19 talking to Rylee, Nevaeh, Olivia on various topics in the early evening.\",\"I spent 19 talking to Rylee, Nevaeh, Olivia on various topics in the early evening.\"\n11136,2017/04/30,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n11137,2017/04/30,\"I had dinner with Hazel, Avery, Kinsley. I ate pasta.\",\"I had dinner with Hazel, Avery, Kinsley. I ate pasta.\"\n11138,2017/04/30,\"I talked to Hazel, Lydia for 47 minutes in the morning.\",\"I talked to Hazel, Lydia for 47 minutes in the morning.\"\n11139,2017/04/30,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n11140,2017/04/30,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n11141,2017/05/01,I spent some time gardening on 2017/05/01.,I spent some time gardening on 2017/05/01.\n11142,2017/05/01,I ate tacos for lunch.,I ate tacos for lunch.\n11143,2017/05/02,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n11144,2017/05/02,I ate sushi for lunch.,I ate sushi for lunch.\n11145,2017/05/02,\"I talked to Eva, Olivia, Piper, Kinsley for 51 minutes during lunch hours.\",\"I talked to Eva, Olivia, Piper, Kinsley for 51 minutes during lunch hours.\"\n11146,2017/05/02,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n11147,2017/05/02,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n11148,2017/05/03,I went on a date with Athena on 2017/05/03 at a boba shop,I went on a date with Athena on 2017/05/03 at a boba shop\n11149,2017/05/03,I ate cereals for breakfast.,I ate cereals for breakfast.\n11150,2017/05/03,I prepare a burger for dinner.,I prepare a burger for dinner.\n11151,2017/05/03,\"I talked to Claire, Hazel for 14 minutes in the early evening.\",\"I talked to Claire, Hazel for 14 minutes in the early evening.\"\n11152,2017/05/03,\"I spent 42 talking to Hazel, Claire, Avery, Nevaeh on various topics in the late afternoon.\",\"I spent 42 talking to Hazel, Claire, Avery, Nevaeh on various topics in the late afternoon.\"\n11153,2017/05/03,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n11154,2017/05/04,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n11155,2017/05/04,\"I talked to Rylee, Nora, Olivia, Nevaeh for 48 minutes during lunch hours.\",\"I talked to Rylee, Nora, Olivia, Nevaeh for 48 minutes during lunch hours.\"\n11156,2017/05/04,I talked to Hazel for 35 minutes in the late afternoon.,I talked to Hazel for 35 minutes in the late afternoon.\n11157,2017/05/04,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n11158,2017/05/05,\"I went grocery shopping with Willow. I bought some mangos, oranges, watermelons, blueberries, apple juice, and mouthwash, facial wash, body lotion\",\"I went grocery shopping with Willow. I bought some mangos, oranges, watermelons, blueberries, apple juice, and mouthwash, facial wash, body lotion\"\n11159,2017/05/06,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n11160,2017/05/06,I ate a burger for lunch.,I ate a burger for lunch.\n11161,2017/05/06,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n11162,2017/05/06,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n11163,2017/05/07,\"On 2017/05/07, I took Cameron on a date to a coffee Shop\",\"On 2017/05/07, I took Cameron on a date to a coffee Shop\"\n11164,2017/05/07,I did biking on 2017/05/07.,I did biking on 2017/05/07.\n11165,2017/05/07,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n11166,2017/05/07,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n11167,2017/05/08,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n11168,2017/05/08,I prepare pasta for dinner.,I prepare pasta for dinner.\n11169,2017/05/08,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n11170,2017/05/09,\"I had lunch with Nora, Nevaeh, Layla. I ate tacos.\",\"I had lunch with Nora, Nevaeh, Layla. I ate tacos.\"\n11171,2017/05/09,\"I talked to Lydia, Layla for 14 minutes in the late afternoon.\",\"I talked to Lydia, Layla for 14 minutes in the late afternoon.\"\n11172,2017/05/09,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n11173,2017/05/09,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n11174,2017/05/10,\"I spent time learning a language on 2017/05/10 with Kayden, Andrew, Carter.\",\"I spent time learning a language on 2017/05/10 with Kayden, Andrew, Carter.\"\n11175,2017/05/10,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n11176,2017/05/10,\"I had a burger for dinner with Nora, Piper, Kinsley, Lydia, Layla, Avery, Olivia, Eva, Claire, Hazel, Piper, Nevaeh, Rylee\",\"I had a burger for dinner with Nora, Piper, Kinsley, Lydia, Layla, Avery, Olivia, Eva, Claire, Hazel, Piper, Nevaeh, Rylee\"\n11177,2017/05/10,I spent 42 talking to Piper on various topics during lunch hours.,I spent 42 talking to Piper on various topics during lunch hours.\n11178,2017/05/10,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n11179,2017/05/11,\"I went grocery shopping. I bought some mandarins, pineapples, apple juice, milk, and toothpaste, paper towel, shaving cream\",\"I went grocery shopping. I bought some mandarins, pineapples, apple juice, milk, and toothpaste, paper towel, shaving cream\"\n11180,2017/05/11,I did weight lifting on 2017/05/11.,I did weight lifting on 2017/05/11.\n11181,2017/05/11,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n11182,2017/05/11,\"I talked to Nevaeh, Piper, Hazel, Claire for 35 minutes late in the evening.\",\"I talked to Nevaeh, Piper, Hazel, Claire for 35 minutes late in the evening.\"\n11183,2017/05/11,I spent 29 minutes watching a tv series on TV today.,I spent 29 minutes watching a tv series on TV today.\n11184,2017/05/12,\"On 2017/05/12 Andrew and I went to Bangkok, Thailand together for 6 days \",\"On 2017/05/12 Andrew and I went to Bangkok, Thailand together for 6 days \"\n11185,2017/05/12,\"On 2017/05/12, I took Autumn on a date to a boba shop\",\"On 2017/05/12, I took Autumn on a date to a boba shop\"\n11186,2017/05/12,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n11187,2017/05/12,I had dinner with Carter. I ate steak.,I had dinner with Carter. I ate steak.\n11188,2017/05/12,\"I spent 46 talking to Olivia, Nora, Rylee on various topics in the early afternoon.\",\"I spent 46 talking to Olivia, Nora, Rylee on various topics in the early afternoon.\"\n11189,2017/05/12,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n11190,2017/05/12,I watched news for 52 minutes on TV today.,I watched news for 52 minutes on TV today.\n11191,2017/05/13,\"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2017/05 with Andrew.\",\"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2017/05 with Andrew.\"\n11192,2017/05/13,\"I ate Indian food at Yaowarat with Andrew on  2017/05/13 when I was in Bangkok, Thailand.\",\"I ate Indian food at Yaowarat with Andrew on  2017/05/13 when I was in Bangkok, Thailand.\"\n11193,2017/05/13,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n11194,2017/05/13,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n11195,2017/05/13,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n11196,2017/05/14,\"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2017/05 with Andrew.\",\"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2017/05 with Andrew.\"\n11197,2017/05/14,\"I ate Chinese food at Yaowarat with Andrew on  2017/05/14 when I was in Bangkok, Thailand.\",\"I ate Chinese food at Yaowarat with Andrew on  2017/05/14 when I was in Bangkok, Thailand.\"\n11198,2017/05/14,\"I had breakfast with Kinsley. I ate eggs, sausages, and bread.\",\"I had breakfast with Kinsley. I ate eggs, sausages, and bread.\"\n11199,2017/05/14,\"I had indian food for lunch with Benjamin, Avery, Jackson, Willow\",\"I had indian food for lunch with Benjamin, Avery, Jackson, Willow\"\n11200,2017/05/14,\"I talked to Avery, Piper for 10 minutes in the early afternoon.\",\"I talked to Avery, Piper for 10 minutes in the early afternoon.\"\n11201,2017/05/15,\"During my trip to Bangkok, Thailand, I visited Wat Traimit on 2017/05 with Andrew.\",\"During my trip to Bangkok, Thailand, I visited Wat Traimit on 2017/05 with Andrew.\"\n11202,2017/05/15,I prepare sushi for lunch.,I prepare sushi for lunch.\n11203,2017/05/15,I had dinner with Emily. I ate sushi.,I had dinner with Emily. I ate sushi.\n11204,2017/05/15,\"I talked to Nevaeh, Nora, Piper, Olivia for 27 minutes during lunch hours.\",\"I talked to Nevaeh, Nora, Piper, Olivia for 27 minutes during lunch hours.\"\n11205,2017/05/15,I watched a documentary for 19 minutes on TV today.,I watched a documentary for 19 minutes on TV today.\n11206,2017/05/16,\"During my trip to Bangkok, Thailand, I visited Wat Arun on 2017/05 with Andrew.\",\"During my trip to Bangkok, Thailand, I visited Wat Arun on 2017/05 with Andrew.\"\n11207,2017/05/16,\"I had breakfast with Nora. I ate eggs, sausages, and bread.\",\"I had breakfast with Nora. I ate eggs, sausages, and bread.\"\n11208,2017/05/16,I ate a burger for lunch.,I ate a burger for lunch.\n11209,2017/05/16,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n11210,2017/05/16,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n11211,2017/05/16,I watched a tv series for 5 minutes on TV today.,I watched a tv series for 5 minutes on TV today.\n11212,2017/05/17,\"During my trip to Bangkok, Thailand, I visited Grand Palace on 2017/05 with Andrew.\",\"During my trip to Bangkok, Thailand, I visited Grand Palace on 2017/05 with Andrew.\"\n11213,2017/05/17,\"I ate Italian food at Ratchawat Market with Andrew on  2017/05/17 when I was in Bangkok, Thailand.\",\"I ate Italian food at Ratchawat Market with Andrew on  2017/05/17 when I was in Bangkok, Thailand.\"\n11214,2017/05/17,I had cereals for breakfast with Emily,I had cereals for breakfast with Emily\n11215,2017/05/17,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n11216,2017/05/17,I prepare indian food for dinner.,I prepare indian food for dinner.\n11217,2017/05/17,I spent 32 talking to Nora on various topics late in the evening.,I spent 32 talking to Nora on various topics late in the evening.\n11218,2017/05/17,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n11219,2017/05/18,\"I ate Italian food at Yaowarat with Andrew on  2017/05/18 when I was in Bangkok, Thailand.\",\"I ate Italian food at Yaowarat with Andrew on  2017/05/18 when I was in Bangkok, Thailand.\"\n11220,2017/05/18,\"I had peanut-butter-jam for breakfast with Avery, Jackson, Benjamin\",\"I had peanut-butter-jam for breakfast with Avery, Jackson, Benjamin\"\n11221,2017/05/19,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n11222,2017/05/19,\"I talked to Eva, Layla, Kinsley, Claire for 30 minutes in the morning.\",\"I talked to Eva, Layla, Kinsley, Claire for 30 minutes in the morning.\"\n11223,2017/05/20,I did biking on 2017/05/20.,I did biking on 2017/05/20.\n11224,2017/05/20,\"I had lunch with Andrew, Emily, Carter, Kayden. I ate pasta.\",\"I had lunch with Andrew, Emily, Carter, Kayden. I ate pasta.\"\n11225,2017/05/20,\"I had a burger for dinner with Avery, Willow\",\"I had a burger for dinner with Avery, Willow\"\n11226,2017/05/20,I spent 38 talking to Piper on various topics in the late afternoon.,I spent 38 talking to Piper on various topics in the late afternoon.\n11227,2017/05/21,I ate indian food for dinner.,I ate indian food for dinner.\n11228,2017/05/21,\"I spent 28 talking to Olivia, Lydia on various topics in the morning.\",\"I spent 28 talking to Olivia, Lydia on various topics in the morning.\"\n11229,2017/05/22,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n11230,2017/05/23,I went on a date with Michael on 2017/05/23 at a boba shop,I went on a date with Michael on 2017/05/23 at a boba shop\n11231,2017/05/23,I did running on 2017/05/23.,I did running on 2017/05/23.\n11232,2017/05/23,\"I had breakfast with Benjamin, Jackson. I ate eggs, sausages, and bread.\",\"I had breakfast with Benjamin, Jackson. I ate eggs, sausages, and bread.\"\n11233,2017/05/23,\"I had pasta for lunch with Nora, Piper, Layla, Olivia, Rylee, Kinsley\",\"I had pasta for lunch with Nora, Piper, Layla, Olivia, Rylee, Kinsley\"\n11234,2017/05/25,\"I spent 10 talking to Layla, Piper on various topics in the early evening.\",\"I spent 10 talking to Layla, Piper on various topics in the early evening.\"\n11235,2017/05/26,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n11236,2017/05/26,\"I had lunch with Carter, Kayden. I ate chinese food.\",\"I had lunch with Carter, Kayden. I ate chinese food.\"\n11237,2017/05/26,\"I spent 11 talking to Piper, Piper, Hazel on various topics in the late afternoon.\",\"I spent 11 talking to Piper, Piper, Hazel on various topics in the late afternoon.\"\n11238,2017/05/26,\"I spent 13 talking to Olivia, Avery on various topics during lunch hours.\",\"I spent 13 talking to Olivia, Avery on various topics during lunch hours.\"\n11239,2017/05/26,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n11240,2017/05/27,\"I went grocery shopping with Nora, Avery, Piper, Nevaeh, Claire, Rylee, Hazel, Lydia, Kinsley, Olivia. I bought some apricots, pineapples, strawberries, pineapple juice, mango juice, sports drinks, and facial wash, mouthwash, paper towel, toilet paper\",\"I went grocery shopping with Nora, Avery, Piper, Nevaeh, Claire, Rylee, Hazel, Lydia, Kinsley, Olivia. I bought some apricots, pineapples, strawberries, pineapple juice, mango juice, sports drinks, and facial wash, mouthwash, paper towel, toilet paper\"\n11241,2017/05/27,I did weight lifting on 2017/05/27.,I did weight lifting on 2017/05/27.\n11242,2017/05/27,\"I had sandwich for dinner with Emily, Kayden\",\"I had sandwich for dinner with Emily, Kayden\"\n11243,2017/05/27,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n11244,2017/05/27,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n11245,2017/05/28,I did weight lifting on 2017/05/28.,I did weight lifting on 2017/05/28.\n11246,2017/05/28,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n11247,2017/05/28,I prepare sushi for lunch.,I prepare sushi for lunch.\n11248,2017/05/28,\"I had dinner with Layla, Kinsley, Piper, Hazel. I ate sandwich.\",\"I had dinner with Layla, Kinsley, Piper, Hazel. I ate sandwich.\"\n11249,2017/05/28,\"I spent 11 talking to Hazel, Claire on various topics during lunch hours.\",\"I spent 11 talking to Hazel, Claire on various topics during lunch hours.\"\n11250,2017/05/28,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n11251,2017/05/28,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n11252,2017/05/29,I did running on 2017/05/29.,I did running on 2017/05/29.\n11253,2017/05/29,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n11254,2017/05/29,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n11255,2017/05/30,I did hiking on 2017/05/30.,I did hiking on 2017/05/30.\n11256,2017/05/30,I had breakfast with Kayden. I ate cereals.,I had breakfast with Kayden. I ate cereals.\n11257,2017/05/30,\"I had steak for dinner with Avery, Willow, Jackson, Benjamin\",\"I had steak for dinner with Avery, Willow, Jackson, Benjamin\"\n11258,2017/05/30,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n11259,2017/05/30,I spent 39 minutes watching a tv series on TV today.,I spent 39 minutes watching a tv series on TV today.\n11260,2017/05/31,\"On 2017/05/31, I took Piper on a date to a coffee Shop\",\"On 2017/05/31, I took Piper on a date to a coffee Shop\"\n11261,2017/05/31,I did running on 2017/05/31.,I did running on 2017/05/31.\n11262,2017/05/31,\"I had breakfast with Avery, Jackson. I ate cereals.\",\"I had breakfast with Avery, Jackson. I ate cereals.\"\n11263,2017/05/31,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n11264,2017/05/31,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n11265,2017/06/01,I did hiking on 2017/06/01.,I did hiking on 2017/06/01.\n11266,2017/06/01,\"I talked to Layla, Lydia, Olivia for 6 minutes in the morning.\",\"I talked to Layla, Lydia, Olivia for 6 minutes in the morning.\"\n11267,2017/06/01,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n11268,2017/06/02,I did running on 2017/06/02.,I did running on 2017/06/02.\n11269,2017/06/02,\"I had breakfast with Avery, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Willow. I ate eggs, sausages, and bread.\"\n11270,2017/06/02,\"I had chinese food for dinner with Emily, Andrew\",\"I had chinese food for dinner with Emily, Andrew\"\n11271,2017/06/02,\"I talked to Hazel, Lydia, Claire for 21 minutes late in the evening.\",\"I talked to Hazel, Lydia, Claire for 21 minutes late in the evening.\"\n11272,2017/06/03,\"I went grocery shopping with Willow, Benjamin. I bought some pineapples, tea, coffee, and mouth wash, mouthwash\",\"I went grocery shopping with Willow, Benjamin. I bought some pineapples, tea, coffee, and mouth wash, mouthwash\"\n11273,2017/06/03,I did hiking on 2017/06/03.,I did hiking on 2017/06/03.\n11274,2017/06/03,I ate sushi for lunch.,I ate sushi for lunch.\n11275,2017/06/03,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n11276,2017/06/03,\"I talked to Piper, Layla, Nevaeh, Kinsley for 41 minutes in the early afternoon.\",\"I talked to Piper, Layla, Nevaeh, Kinsley for 41 minutes in the early afternoon.\"\n11277,2017/06/03,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n11278,2017/06/03,I spent 44 minutes watching news on TV today.,I spent 44 minutes watching news on TV today.\n11279,2017/06/04,I did biking on 2017/06/04.,I did biking on 2017/06/04.\n11280,2017/06/04,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n11281,2017/06/04,I ate sushi for lunch.,I ate sushi for lunch.\n11282,2017/06/04,\"I spent 47 talking to Lydia, Hazel, Kinsley, Eva on various topics during lunch hours.\",\"I spent 47 talking to Lydia, Hazel, Kinsley, Eva on various topics during lunch hours.\"\n11283,2017/06/04,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n11284,2017/06/04,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n11285,2017/06/05,\"On 2017/06/05, I took Aubrey on a date to a boba shop\",\"On 2017/06/05, I took Aubrey on a date to a boba shop\"\n11286,2017/06/05,I had lunch. I ate steak.,I had lunch. I ate steak.\n11287,2017/06/05,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n11288,2017/06/06,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n11289,2017/06/07,I went on a date with Ariana on 2017/06/07 at a coffee Shop,I went on a date with Ariana on 2017/06/07 at a coffee Shop\n11290,2017/06/07,I did running on 2017/06/07.,I did running on 2017/06/07.\n11291,2017/06/07,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n11292,2017/06/07,I had dinner with Andrew. I ate steak.,I had dinner with Andrew. I ate steak.\n11293,2017/06/07,\"I spent 9 talking to Claire, Kinsley on various topics in the early afternoon.\",\"I spent 9 talking to Claire, Kinsley on various topics in the early afternoon.\"\n11294,2017/06/07,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n11295,2017/06/08,I did biking on 2017/06/08.,I did biking on 2017/06/08.\n11296,2017/06/08,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n11297,2017/06/08,\"I spent 26 talking to Claire, Piper, Rylee on various topics late in the evening.\",\"I spent 26 talking to Claire, Piper, Rylee on various topics late in the evening.\"\n11298,2017/06/08,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n11299,2017/06/09,I ate tacos for dinner.,I ate tacos for dinner.\n11300,2017/06/09,\"I spent 29 talking to Nora, Claire on various topics during lunch hours.\",\"I spent 29 talking to Nora, Claire on various topics during lunch hours.\"\n11301,2017/06/09,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n11302,2017/06/10,I did biking on 2017/06/10.,I did biking on 2017/06/10.\n11303,2017/06/10,\"I had a burger for lunch with Nora, Eva, Avery, Hazel, Rylee, Piper, Layla, Piper\",\"I had a burger for lunch with Nora, Eva, Avery, Hazel, Rylee, Piper, Layla, Piper\"\n11304,2017/06/10,\"I spent 23 talking to Piper, Layla, Olivia, Piper on various topics in the early evening.\",\"I spent 23 talking to Piper, Layla, Olivia, Piper on various topics in the early evening.\"\n11305,2017/06/11,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n11306,2017/06/11,\"I spent 29 talking to Olivia, Claire on various topics in the late afternoon.\",\"I spent 29 talking to Olivia, Claire on various topics in the late afternoon.\"\n11307,2017/06/11,\"I spent 51 talking to Nora, Piper, Nevaeh, Avery on various topics in the late afternoon.\",\"I spent 51 talking to Nora, Piper, Nevaeh, Avery on various topics in the late afternoon.\"\n11308,2017/06/11,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n11309,2017/06/12,I went on a date with Ivy on 2017/06/12 at a park,I went on a date with Ivy on 2017/06/12 at a park\n11310,2017/06/12,\"I went grocery shopping. I bought some mangos, tea, and mouth wash\",\"I went grocery shopping. I bought some mangos, tea, and mouth wash\"\n11311,2017/06/12,I prepare pasta for lunch.,I prepare pasta for lunch.\n11312,2017/06/12,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n11313,2017/06/13,I did biking on 2017/06/13.,I did biking on 2017/06/13.\n11314,2017/06/13,I prepare indian food for lunch.,I prepare indian food for lunch.\n11315,2017/06/13,\"I had dinner with Emily, Andrew, Kayden, Carter. I ate fish and chips.\",\"I had dinner with Emily, Andrew, Kayden, Carter. I ate fish and chips.\"\n11316,2017/06/13,I spent 48 minutes on a book today.,I spent 48 minutes on a book today.\n11317,2017/06/13,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n11318,2017/06/14,\"I had breakfast with Emily, Kayden, Andrew. I ate oatmeal.\",\"I had breakfast with Emily, Kayden, Andrew. I ate oatmeal.\"\n11319,2017/06/14,\"I had lunch with Eva, Nevaeh, Lydia, Avery, Kinsley, Nora, Olivia, Claire, Piper, Hazel, Rylee. I ate sandwich.\",\"I had lunch with Eva, Nevaeh, Lydia, Avery, Kinsley, Nora, Olivia, Claire, Piper, Hazel, Rylee. I ate sandwich.\"\n11320,2017/06/14,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n11321,2017/06/15,\"I bought some mandarins, guava, clementines, tea, mouth wash from the grocery store. I saw Andrew at the grocery store.\",\"I bought some mandarins, guava, clementines, tea, mouth wash from the grocery store. I saw Andrew at the grocery store.\"\n11322,2017/06/15,I did HIIT on 2017/06/15.,I did HIIT on 2017/06/15.\n11323,2017/06/15,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n11324,2017/06/15,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n11325,2017/06/15,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n11326,2017/06/16,I spent time yoga on 2017/06/16 with Eva.,I spent time yoga on 2017/06/16 with Eva.\n11327,2017/06/16,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n11328,2017/06/16,\"I had pasta for lunch with Eva, Layla, Kinsley, Nora, Nevaeh, Piper, Avery\",\"I had pasta for lunch with Eva, Layla, Kinsley, Nora, Nevaeh, Piper, Avery\"\n11329,2017/06/16,\"I spent 37 talking to Nevaeh, Rylee on various topics in the late afternoon.\",\"I spent 37 talking to Nevaeh, Rylee on various topics in the late afternoon.\"\n11330,2017/06/17,I did HIIT on 2017/06/17.,I did HIIT on 2017/06/17.\n11331,2017/06/17,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n11332,2017/06/17,\"I had fish and chips for lunch with Carter, Emily\",\"I had fish and chips for lunch with Carter, Emily\"\n11333,2017/06/17,I ate sushi for dinner.,I ate sushi for dinner.\n11334,2017/06/17,I talked to Nora for 27 minutes in the morning.,I talked to Nora for 27 minutes in the morning.\n11335,2017/06/17,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n11336,2017/06/17,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n11337,2017/06/18,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n11338,2017/06/18,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n11339,2017/06/18,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n11340,2017/06/19,I spent 46 minutes watching a tv series on TV today.,I spent 46 minutes watching a tv series on TV today.\n11341,2017/06/20,\"I had dinner with Andrew, Kayden, Carter. I ate sushi.\",\"I had dinner with Andrew, Kayden, Carter. I ate sushi.\"\n11342,2017/06/20,\"I talked to Nora, Piper for 42 minutes in the early evening.\",\"I talked to Nora, Piper for 42 minutes in the early evening.\"\n11343,2017/06/20,\"I spent 26 talking to Kinsley, Claire on various topics in the morning.\",\"I spent 26 talking to Kinsley, Claire on various topics in the morning.\"\n11344,2017/06/20,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n11345,2017/06/20,I spent 35 minutes watching a movie on TV today.,I spent 35 minutes watching a movie on TV today.\n11346,2017/06/21,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n11347,2017/06/21,\"I had lunch with Lydia, Piper, Avery, Nora, Rylee. I ate tacos.\",\"I had lunch with Lydia, Piper, Avery, Nora, Rylee. I ate tacos.\"\n11348,2017/06/21,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n11349,2017/06/22,\"I spent 21 talking to Olivia, Layla, Rylee on various topics in the late afternoon.\",\"I spent 21 talking to Olivia, Layla, Rylee on various topics in the late afternoon.\"\n11350,2017/06/22,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n11351,2017/06/22,I spent 24 minutes watching a documentary on TV today.,I spent 24 minutes watching a documentary on TV today.\n11352,2017/06/23,I did weight lifting on 2017/06/23.,I did weight lifting on 2017/06/23.\n11353,2017/06/23,I spent 26 minutes reading social media today.,I spent 26 minutes reading social media today.\n11354,2017/06/23,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n11355,2017/06/24,\"I went grocery shopping. I bought some mandarins, guava juice, and toothpaste, toothbrush\",\"I went grocery shopping. I bought some mandarins, guava juice, and toothpaste, toothbrush\"\n11356,2017/06/24,I ate sandwich for lunch.,I ate sandwich for lunch.\n11357,2017/06/24,I talked to Kinsley for 9 minutes in the morning.,I talked to Kinsley for 9 minutes in the morning.\n11358,2017/06/24,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n11359,2017/06/25,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n11360,2017/06/25,I had tacos for lunch with Carter,I had tacos for lunch with Carter\n11361,2017/06/25,\"I spent 9 talking to Avery, Lydia on various topics in the early evening.\",\"I spent 9 talking to Avery, Lydia on various topics in the early evening.\"\n11362,2017/06/25,I talked to Eva for 15 minutes in the early afternoon.,I talked to Eva for 15 minutes in the early afternoon.\n11363,2017/06/25,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n11364,2017/06/25,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n11365,2017/06/26,\"I had sushi for lunch with Carter, Emily, Kayden, Andrew\",\"I had sushi for lunch with Carter, Emily, Kayden, Andrew\"\n11366,2017/06/26,\"I talked to Lydia, Avery for 28 minutes in the early afternoon.\",\"I talked to Lydia, Avery for 28 minutes in the early afternoon.\"\n11367,2017/06/27,\"I had indian food for dinner with Andrew, Kayden\",\"I had indian food for dinner with Andrew, Kayden\"\n11368,2017/06/27,\"I talked to Piper, Hazel for 21 minutes during lunch hours.\",\"I talked to Piper, Hazel for 21 minutes during lunch hours.\"\n11369,2017/06/27,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n11370,2017/06/28,\"I went grocery shopping. I bought some blackberries, milk, and toothbrush\",\"I went grocery shopping. I bought some blackberries, milk, and toothbrush\"\n11371,2017/06/28,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n11372,2017/06/28,I prepare steak for lunch.,I prepare steak for lunch.\n11373,2017/06/28,\"I had dinner with Layla, Eva, Lydia, Nora, Kinsley, Piper, Avery. I ate a burger.\",\"I had dinner with Layla, Eva, Lydia, Nora, Kinsley, Piper, Avery. I ate a burger.\"\n11374,2017/06/28,\"I talked to Nora, Olivia for 35 minutes in the early evening.\",\"I talked to Nora, Olivia for 35 minutes in the early evening.\"\n11375,2017/06/28,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n11376,2017/06/28,I spent 24 minutes watching news on TV today.,I spent 24 minutes watching news on TV today.\n11377,2017/06/29,\"I had dinner with Benjamin, Jackson, Willow. I ate a burger.\",\"I had dinner with Benjamin, Jackson, Willow. I ate a burger.\"\n11378,2017/06/29,\"I spent 48 talking to Kinsley, Piper on various topics in the early evening.\",\"I spent 48 talking to Kinsley, Piper on various topics in the early evening.\"\n11379,2017/06/29,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n11380,2017/06/30,I ate sushi for dinner.,I ate sushi for dinner.\n11381,2017/06/30,I talked to Rylee for 9 minutes during lunch hours.,I talked to Rylee for 9 minutes during lunch hours.\n11382,2017/06/30,\"I spent 34 talking to Claire, Kinsley, Piper on various topics in the early afternoon.\",\"I spent 34 talking to Claire, Kinsley, Piper on various topics in the early afternoon.\"\n11383,2017/06/30,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n11384,2017/06/30,I watched a movie for 17 minutes on TV today.,I watched a movie for 17 minutes on TV today.\n11385,2017/07/01,\"I had breakfast with Eva, Piper, Kinsley, Lydia, Rylee, Piper, Claire, Hazel, Nevaeh, Layla, Nora, Olivia. I ate toast and cheese.\",\"I had breakfast with Eva, Piper, Kinsley, Lydia, Rylee, Piper, Claire, Hazel, Nevaeh, Layla, Nora, Olivia. I ate toast and cheese.\"\n11386,2017/07/01,I prepare sushi for lunch.,I prepare sushi for lunch.\n11387,2017/07/01,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n11388,2017/07/02,\"I spent time meditation on 2017/07/02 with Andrew, Kayden, Emily.\",\"I spent time meditation on 2017/07/02 with Andrew, Kayden, Emily.\"\n11389,2017/07/02,I did running on 2017/07/02.,I did running on 2017/07/02.\n11390,2017/07/02,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n11391,2017/07/02,I ate steak for lunch.,I ate steak for lunch.\n11392,2017/07/02,\"I spent 16 talking to Piper, Olivia, Layla, Piper on various topics in the early evening.\",\"I spent 16 talking to Piper, Olivia, Layla, Piper on various topics in the early evening.\"\n11393,2017/07/02,\"I spent 11 talking to Lydia, Olivia, Piper, Eva on various topics in the early afternoon.\",\"I spent 11 talking to Lydia, Olivia, Piper, Eva on various topics in the early afternoon.\"\n11394,2017/07/02,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n11395,2017/07/03,\"I went grocery shopping. I bought some nectarines, mangos, peaches, watermelons, sports drinks, chocolate milk, and mouthwash\",\"I went grocery shopping. I bought some nectarines, mangos, peaches, watermelons, sports drinks, chocolate milk, and mouthwash\"\n11396,2017/07/03,I did swimming on 2017/07/03.,I did swimming on 2017/07/03.\n11397,2017/07/03,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n11398,2017/07/03,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n11399,2017/07/03,\"I spent 37 talking to Piper, Layla on various topics in the early evening.\",\"I spent 37 talking to Piper, Layla on various topics in the early evening.\"\n11400,2017/07/04,\"On 2017/07/04, I took Savannah on a date to a restaurant\",\"On 2017/07/04, I took Savannah on a date to a restaurant\"\n11401,2017/07/04,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n11402,2017/07/04,\"I had tacos for lunch with Kayden, Andrew\",\"I had tacos for lunch with Kayden, Andrew\"\n11403,2017/07/04,\"I had dinner with Andrew, Kayden, Carter. I ate fish and chips.\",\"I had dinner with Andrew, Kayden, Carter. I ate fish and chips.\"\n11404,2017/07/04,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n11405,2017/07/04,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n11406,2017/07/05,\"On 2017/07/05, I took Ezekiel on a date to a restaurant\",\"On 2017/07/05, I took Ezekiel on a date to a restaurant\"\n11407,2017/07/05,\"I bought some bananas, oranges, apples, cherres, tea, coffee, mouthwash, body lotion, shampoo online.\",\"I bought some bananas, oranges, apples, cherres, tea, coffee, mouthwash, body lotion, shampoo online.\"\n11408,2017/07/05,\"I had breakfast with Nora, Nevaeh, Lydia. I ate oatmeal.\",\"I had breakfast with Nora, Nevaeh, Lydia. I ate oatmeal.\"\n11409,2017/07/05,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n11410,2017/07/05,I ate sushi for dinner.,I ate sushi for dinner.\n11411,2017/07/05,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n11412,2017/07/06,I did hiking on 2017/07/06.,I did hiking on 2017/07/06.\n11413,2017/07/06,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n11414,2017/07/06,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n11415,2017/07/06,\"I talked to Eva, Lydia, Piper for 45 minutes in the early evening.\",\"I talked to Eva, Lydia, Piper for 45 minutes in the early evening.\"\n11416,2017/07/07,I did biking on 2017/07/07.,I did biking on 2017/07/07.\n11417,2017/07/07,\"I had breakfast with Benjamin, Avery, Willow. I ate oatmeal.\",\"I had breakfast with Benjamin, Avery, Willow. I ate oatmeal.\"\n11418,2017/07/07,\"I had a burger for lunch with Rylee, Claire, Piper, Olivia, Piper, Layla, Hazel, Nevaeh, Kinsley\",\"I had a burger for lunch with Rylee, Claire, Piper, Olivia, Piper, Layla, Hazel, Nevaeh, Kinsley\"\n11419,2017/07/07,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n11420,2017/07/07,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n11421,2017/07/08,I did biking on 2017/07/08.,I did biking on 2017/07/08.\n11422,2017/07/08,\"I had breakfast with Emily, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Kayden. I ate eggs, sausages, and bread.\"\n11423,2017/07/08,\"I spent 11 talking to Eva, Rylee, Kinsley, Piper on various topics in the early afternoon.\",\"I spent 11 talking to Eva, Rylee, Kinsley, Piper on various topics in the early afternoon.\"\n11424,2017/07/08,I watched a documentary for 36 minutes on TV today.,I watched a documentary for 36 minutes on TV today.\n11425,2017/07/09,I did biking on 2017/07/09.,I did biking on 2017/07/09.\n11426,2017/07/09,I talked to Olivia for 30 minutes late in the evening.,I talked to Olivia for 30 minutes late in the evening.\n11427,2017/07/10,I really enjoyed working out on 2017/07/10,I really enjoyed working out on 2017/07/10\n11428,2017/07/10,\"I bought some bananas, oranges, sports drinks, shaving cream, body lotion, toothpaste from the grocery store. I saw Hazel, Claire, Eva, Nora, Nevaeh, Avery, Rylee at the grocery store.\",\"I bought some bananas, oranges, sports drinks, shaving cream, body lotion, toothpaste from the grocery store. I saw Hazel, Claire, Eva, Nora, Nevaeh, Avery, Rylee at the grocery store.\"\n11429,2017/07/10,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n11430,2017/07/10,I prepare tacos for lunch.,I prepare tacos for lunch.\n11431,2017/07/10,I had dinner. I ate steak.,I had dinner. I ate steak.\n11432,2017/07/10,\"I spent 39 talking to Avery, Nevaeh, Piper on various topics in the early evening.\",\"I spent 39 talking to Avery, Nevaeh, Piper on various topics in the early evening.\"\n11433,2017/07/10,\"I talked to Hazel, Piper, Kinsley for 48 minutes in the early afternoon.\",\"I talked to Hazel, Piper, Kinsley for 48 minutes in the early afternoon.\"\n11434,2017/07/11,I did HIIT on 2017/07/11.,I did HIIT on 2017/07/11.\n11435,2017/07/11,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n11436,2017/07/11,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n11437,2017/07/11,I spent 43 minutes watching news on TV today.,I spent 43 minutes watching news on TV today.\n11438,2017/07/12,I did running on 2017/07/12.,I did running on 2017/07/12.\n11439,2017/07/12,\"I had dinner with Kayden, Andrew, Emily, Carter. I ate steak.\",\"I had dinner with Kayden, Andrew, Emily, Carter. I ate steak.\"\n11440,2017/07/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n11441,2017/07/13,\"I had a burger for dinner with Carter, Emily, Andrew, Kayden\",\"I had a burger for dinner with Carter, Emily, Andrew, Kayden\"\n11442,2017/07/13,I spent 6 talking to Olivia on various topics during lunch hours.,I spent 6 talking to Olivia on various topics during lunch hours.\n11443,2017/07/14,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n11444,2017/07/14,\"I talked to Piper, Hazel for 22 minutes in the early afternoon.\",\"I talked to Piper, Hazel for 22 minutes in the early afternoon.\"\n11445,2017/07/14,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n11446,2017/07/14,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n11447,2017/07/15,\"I had steak for dinner with Emily, Kayden\",\"I had steak for dinner with Emily, Kayden\"\n11448,2017/07/15,I talked to Hazel for 17 minutes in the early evening.,I talked to Hazel for 17 minutes in the early evening.\n11449,2017/07/15,\"I spent 14 talking to Piper, Kinsley on various topics during lunch hours.\",\"I spent 14 talking to Piper, Kinsley on various topics during lunch hours.\"\n11450,2017/07/15,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n11451,2017/07/16,\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate cereals.\",\"I had breakfast with Kayden, Andrew, Emily, Carter. I ate cereals.\"\n11452,2017/07/16,I had fish and chips for dinner with Willow,I had fish and chips for dinner with Willow\n11453,2017/07/16,\"I spent 47 talking to Olivia, Kinsley, Layla on various topics in the early afternoon.\",\"I spent 47 talking to Olivia, Kinsley, Layla on various topics in the early afternoon.\"\n11454,2017/07/17,I did swimming on 2017/07/17.,I did swimming on 2017/07/17.\n11455,2017/07/17,I ate a burger for lunch.,I ate a burger for lunch.\n11456,2017/07/17,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n11457,2017/07/17,I talked to Avery for 15 minutes in the early evening.,I talked to Avery for 15 minutes in the early evening.\n11458,2017/07/17,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n11459,2017/07/18,I did running on 2017/07/18.,I did running on 2017/07/18.\n11460,2017/07/18,\"I had breakfast with Willow, Benjamin, Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Willow, Benjamin, Avery. I ate eggs, sausages, and bread.\"\n11461,2017/07/18,\"I spent 25 talking to Claire, Lydia, Piper, Olivia on various topics late in the evening.\",\"I spent 25 talking to Claire, Lydia, Piper, Olivia on various topics late in the evening.\"\n11462,2017/07/18,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n11463,2017/07/19,I did hiking on 2017/07/19.,I did hiking on 2017/07/19.\n11464,2017/07/19,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n11465,2017/07/19,\"I had a burger for lunch with Kayden, Andrew, Carter\",\"I had a burger for lunch with Kayden, Andrew, Carter\"\n11466,2017/07/19,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n11467,2017/07/20,I did hiking on 2017/07/20.,I did hiking on 2017/07/20.\n11468,2017/07/20,I had breakfast with Carter. I ate cereals.,I had breakfast with Carter. I ate cereals.\n11469,2017/07/20,\"I had a burger for lunch with Kayden, Carter, Emily\",\"I had a burger for lunch with Kayden, Carter, Emily\"\n11470,2017/07/20,I ate pasta for dinner.,I ate pasta for dinner.\n11471,2017/07/20,\"I talked to Rylee, Nevaeh for 24 minutes in the early afternoon.\",\"I talked to Rylee, Nevaeh for 24 minutes in the early afternoon.\"\n11472,2017/07/20,\"I spent 35 talking to Nora, Kinsley, Eva, Nevaeh on various topics in the early evening.\",\"I spent 35 talking to Nora, Kinsley, Eva, Nevaeh on various topics in the early evening.\"\n11473,2017/07/20,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n11474,2017/07/20,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n11475,2017/07/21,\"On 2017/07/21, I took Kennedy on a date to a coffee Shop\",\"On 2017/07/21, I took Kennedy on a date to a coffee Shop\"\n11476,2017/07/21,I did weight lifting on 2017/07/21.,I did weight lifting on 2017/07/21.\n11477,2017/07/21,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n11478,2017/07/21,I had pasta for lunch with Avery,I had pasta for lunch with Avery\n11479,2017/07/21,I spent 36 talking to Lydia on various topics in the early evening.,I spent 36 talking to Lydia on various topics in the early evening.\n11480,2017/07/21,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n11481,2017/07/22,\"I had cereals for breakfast with Carter, Emily, Andrew, Kayden\",\"I had cereals for breakfast with Carter, Emily, Andrew, Kayden\"\n11482,2017/07/22,\"I had lunch with Kinsley, Nevaeh. I ate tacos.\",\"I had lunch with Kinsley, Nevaeh. I ate tacos.\"\n11483,2017/07/22,\"I talked to Lydia, Avery, Rylee, Claire for 13 minutes during lunch hours.\",\"I talked to Lydia, Avery, Rylee, Claire for 13 minutes during lunch hours.\"\n11484,2017/07/22,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n11485,2017/07/23,\"On 2017/07/23, I took Jeremiah on a date to a park\",\"On 2017/07/23, I took Jeremiah on a date to a park\"\n11486,2017/07/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n11487,2017/07/23,\"I spent 37 talking to Avery, Claire, Eva, Layla on various topics in the morning.\",\"I spent 37 talking to Avery, Claire, Eva, Layla on various topics in the morning.\"\n11488,2017/07/24,I did running on 2017/07/24.,I did running on 2017/07/24.\n11489,2017/07/24,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n11490,2017/07/24,I talked to Nevaeh for 37 minutes in the early evening.,I talked to Nevaeh for 37 minutes in the early evening.\n11491,2017/07/24,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n11492,2017/07/25,I did weight lifting on 2017/07/25.,I did weight lifting on 2017/07/25.\n11493,2017/07/25,\"I had chinese food for lunch with Emily, Carter, Andrew\",\"I had chinese food for lunch with Emily, Carter, Andrew\"\n11494,2017/07/25,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n11495,2017/07/25,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n11496,2017/07/26,\"I bought some nectarines, bananas, cherres, soda, chocolate milk, mouth wash, shampoo online.\",\"I bought some nectarines, bananas, cherres, soda, chocolate milk, mouth wash, shampoo online.\"\n11497,2017/07/26,I did swimming on 2017/07/26.,I did swimming on 2017/07/26.\n11498,2017/07/26,I ate steak for lunch.,I ate steak for lunch.\n11499,2017/07/26,\"I talked to Claire, Nora, Lydia, Avery for 29 minutes in the early evening.\",\"I talked to Claire, Nora, Lydia, Avery for 29 minutes in the early evening.\"\n11500,2017/07/26,I spent 17 talking to Hazel on various topics in the early evening.,I spent 17 talking to Hazel on various topics in the early evening.\n11501,2017/07/26,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n11502,2017/07/26,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n11503,2017/07/27,\"I had lunch with Eva, Piper, Nora, Piper, Claire, Kinsley, Hazel, Nevaeh, Lydia, Olivia, Rylee, Avery, Layla. I ate indian food.\",\"I had lunch with Eva, Piper, Nora, Piper, Claire, Kinsley, Hazel, Nevaeh, Lydia, Olivia, Rylee, Avery, Layla. I ate indian food.\"\n11504,2017/07/27,\"I spent 21 talking to Nora, Claire on various topics in the early evening.\",\"I spent 21 talking to Nora, Claire on various topics in the early evening.\"\n11505,2017/07/27,\"I spent 12 talking to Rylee, Piper, Eva on various topics during lunch hours.\",\"I spent 12 talking to Rylee, Piper, Eva on various topics during lunch hours.\"\n11506,2017/07/27,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n11507,2017/07/28,I did biking on 2017/07/28.,I did biking on 2017/07/28.\n11508,2017/07/28,\"I had lunch with Andrew, Emily, Kayden, Carter. I ate a burger.\",\"I had lunch with Andrew, Emily, Kayden, Carter. I ate a burger.\"\n11509,2017/07/28,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n11510,2017/07/28,I spent 33 minutes watching news on TV today.,I spent 33 minutes watching news on TV today.\n11511,2017/07/29,\"On 2017/07/29, I took Aria on a date to a park\",\"On 2017/07/29, I took Aria on a date to a park\"\n11512,2017/07/29,\"I talked to Avery, Kinsley, Piper, Eva for 38 minutes in the early evening.\",\"I talked to Avery, Kinsley, Piper, Eva for 38 minutes in the early evening.\"\n11513,2017/07/29,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n11514,2017/07/29,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n11515,2017/07/30,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n11516,2017/07/30,\"I spent 38 talking to Eva, Lydia, Nora, Layla on various topics during lunch hours.\",\"I spent 38 talking to Eva, Lydia, Nora, Layla on various topics during lunch hours.\"\n11517,2017/07/30,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n11518,2017/07/30,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n11519,2017/07/31,I did weight lifting on 2017/07/31.,I did weight lifting on 2017/07/31.\n11520,2017/07/31,I had lunch with Emily. I ate steak.,I had lunch with Emily. I ate steak.\n11521,2017/07/31,I prepare pasta for dinner.,I prepare pasta for dinner.\n11522,2017/07/31,\"I spent 52 talking to Hazel, Nevaeh, Layla, Lydia on various topics in the morning.\",\"I spent 52 talking to Hazel, Nevaeh, Layla, Lydia on various topics in the morning.\"\n11523,2017/07/31,\"I spent 47 talking to Hazel, Avery, Piper, Kinsley on various topics during lunch hours.\",\"I spent 47 talking to Hazel, Avery, Piper, Kinsley on various topics during lunch hours.\"\n11524,2017/07/31,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n11525,2017/08/01,I did weight lifting on 2017/08/01.,I did weight lifting on 2017/08/01.\n11526,2017/08/01,I ate steak for dinner.,I ate steak for dinner.\n11527,2017/08/01,\"I talked to Hazel, Nevaeh, Nora for 40 minutes in the early afternoon.\",\"I talked to Hazel, Nevaeh, Nora for 40 minutes in the early afternoon.\"\n11528,2017/08/01,I talked to Hazel for 45 minutes late in the evening.,I talked to Hazel for 45 minutes late in the evening.\n11529,2017/08/01,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n11530,2017/08/01,I watched a documentary for 55 minutes on TV today.,I watched a documentary for 55 minutes on TV today.\n11531,2017/08/02,\"I spent time working out on 2017/08/02 with Avery, Layla, Piper.\",\"I spent time working out on 2017/08/02 with Avery, Layla, Piper.\"\n11532,2017/08/02,\"I went grocery shopping. I bought some apples, peaches, oranges, pears, guava juice, tea, and shampoo\",\"I went grocery shopping. I bought some apples, peaches, oranges, pears, guava juice, tea, and shampoo\"\n11533,2017/08/02,\"I talked to Kinsley, Layla, Nevaeh for 7 minutes in the early afternoon.\",\"I talked to Kinsley, Layla, Nevaeh for 7 minutes in the early afternoon.\"\n11534,2017/08/02,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n11535,2017/08/03,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n11536,2017/08/03,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n11537,2017/08/03,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n11538,2017/08/04,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n11539,2017/08/04,I had lunch. I ate steak.,I had lunch. I ate steak.\n11540,2017/08/04,I ate pasta for dinner.,I ate pasta for dinner.\n11541,2017/08/05,\"I had lunch with Kayden, Andrew, Carter, Emily. I ate pasta.\",\"I had lunch with Kayden, Andrew, Carter, Emily. I ate pasta.\"\n11542,2017/08/05,\"I spent 34 talking to Lydia, Avery on various topics in the late afternoon.\",\"I spent 34 talking to Lydia, Avery on various topics in the late afternoon.\"\n11543,2017/08/05,\"I spent 11 talking to Avery, Nora, Nevaeh, Layla on various topics in the early evening.\",\"I spent 11 talking to Avery, Nora, Nevaeh, Layla on various topics in the early evening.\"\n11544,2017/08/05,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n11545,2017/08/05,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n11546,2017/08/06,I did biking on 2017/08/06.,I did biking on 2017/08/06.\n11547,2017/08/06,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n11548,2017/08/06,I spent 26 minutes watching a documentary on TV today.,I spent 26 minutes watching a documentary on TV today.\n11549,2017/08/07,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n11550,2017/08/07,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n11551,2017/08/08,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n11552,2017/08/09,\"I went grocery shopping. I bought some raspberries, sports drinks, mango juice, and body lotion, shaving cream, mouthwash\",\"I went grocery shopping. I bought some raspberries, sports drinks, mango juice, and body lotion, shaving cream, mouthwash\"\n11553,2017/08/09,I did weight lifting on 2017/08/09.,I did weight lifting on 2017/08/09.\n11554,2017/08/09,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n11555,2017/08/09,\"I talked to Avery, Nora for 26 minutes in the early evening.\",\"I talked to Avery, Nora for 26 minutes in the early evening.\"\n11556,2017/08/09,\"I spent 6 talking to Avery, Piper, Rylee, Kinsley on various topics during lunch hours.\",\"I spent 6 talking to Avery, Piper, Rylee, Kinsley on various topics during lunch hours.\"\n11557,2017/08/09,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n11558,2017/08/09,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n11559,2017/08/10,\"I was baking cream-filled bundt cake, blackberry jam pie-crust straws on 2017/08/10 with Lydia, Avery, Kinsley at my place\",\"I was baking cream-filled bundt cake, blackberry jam pie-crust straws on 2017/08/10 with Lydia, Avery, Kinsley at my place\"\n11560,2017/08/10,I did running on 2017/08/10.,I did running on 2017/08/10.\n11561,2017/08/10,\"I had tacos for dinner with Emily, Kayden, Andrew\",\"I had tacos for dinner with Emily, Kayden, Andrew\"\n11562,2017/08/10,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n11563,2017/08/10,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n11564,2017/08/11,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n11565,2017/08/11,I ate tacos for dinner.,I ate tacos for dinner.\n11566,2017/08/11,\"I talked to Lydia, Kinsley for 37 minutes late in the evening.\",\"I talked to Lydia, Kinsley for 37 minutes late in the evening.\"\n11567,2017/08/11,\"I talked to Layla, Piper, Olivia for 54 minutes late in the evening.\",\"I talked to Layla, Piper, Olivia for 54 minutes late in the evening.\"\n11568,2017/08/11,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n11569,2017/08/12,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n11570,2017/08/12,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n11571,2017/08/12,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n11572,2017/08/12,I talked to Nora for 47 minutes in the morning.,I talked to Nora for 47 minutes in the morning.\n11573,2017/08/12,\"I spent 41 talking to Hazel, Avery on various topics in the morning.\",\"I spent 41 talking to Hazel, Avery on various topics in the morning.\"\n11574,2017/08/12,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n11575,2017/08/12,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n11576,2017/08/13,I did running on 2017/08/13.,I did running on 2017/08/13.\n11577,2017/08/13,\"I had sandwich for lunch with Olivia, Rylee, Avery, Layla, Claire, Piper, Eva, Kinsley, Lydia, Nora, Hazel, Piper, Nevaeh\",\"I had sandwich for lunch with Olivia, Rylee, Avery, Layla, Claire, Piper, Eva, Kinsley, Lydia, Nora, Hazel, Piper, Nevaeh\"\n11578,2017/08/13,\"I talked to Rylee, Claire, Eva, Olivia for 41 minutes late in the evening.\",\"I talked to Rylee, Claire, Eva, Olivia for 41 minutes late in the evening.\"\n11579,2017/08/14,\"I bought some strawberries, chocolate milk, orange juice, mango juice, sports drinks, mouth wash, toothpaste, shaving cream from the grocery store. I saw Emily at the grocery store.\",\"I bought some strawberries, chocolate milk, orange juice, mango juice, sports drinks, mouth wash, toothpaste, shaving cream from the grocery store. I saw Emily at the grocery store.\"\n11580,2017/08/14,I did biking on 2017/08/14.,I did biking on 2017/08/14.\n11581,2017/08/14,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n11582,2017/08/14,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n11583,2017/08/14,\"I talked to Kinsley, Nora for 25 minutes in the morning.\",\"I talked to Kinsley, Nora for 25 minutes in the morning.\"\n11584,2017/08/15,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n11585,2017/08/15,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n11586,2017/08/15,I ate pasta for dinner.,I ate pasta for dinner.\n11587,2017/08/15,\"I talked to Claire, Nora, Hazel for 11 minutes in the early evening.\",\"I talked to Claire, Nora, Hazel for 11 minutes in the early evening.\"\n11588,2017/08/15,I spent 10 talking to Eva on various topics late in the evening.,I spent 10 talking to Eva on various topics late in the evening.\n11589,2017/08/15,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n11590,2017/08/16,I really enjoyed working out on 2017/08/16,I really enjoyed working out on 2017/08/16\n11591,2017/08/16,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n11592,2017/08/16,\"I talked to Nora, Piper for 8 minutes in the early afternoon.\",\"I talked to Nora, Piper for 8 minutes in the early afternoon.\"\n11593,2017/08/16,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n11594,2017/08/17,\"I had lunch with Nevaeh, Claire, Eva, Nora, Hazel, Kinsley, Piper, Lydia, Avery, Olivia, Piper, Rylee, Layla. I ate pasta.\",\"I had lunch with Nevaeh, Claire, Eva, Nora, Hazel, Kinsley, Piper, Lydia, Avery, Olivia, Piper, Rylee, Layla. I ate pasta.\"\n11595,2017/08/17,I had dinner with Carter. I ate steak.,I had dinner with Carter. I ate steak.\n11596,2017/08/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n11597,2017/08/18,\"I talked to Rylee, Olivia, Eva for 11 minutes in the late afternoon.\",\"I talked to Rylee, Olivia, Eva for 11 minutes in the late afternoon.\"\n11598,2017/08/18,\"I talked to Layla, Piper for 37 minutes in the early evening.\",\"I talked to Layla, Piper for 37 minutes in the early evening.\"\n11599,2017/08/18,I watched a tv series for 19 minutes on TV today.,I watched a tv series for 19 minutes on TV today.\n11600,2017/08/19,\"I went grocery shopping. I bought some nectarines, sports drinks, chocolate milk, apple juice, mango juice, and mouth wash\",\"I went grocery shopping. I bought some nectarines, sports drinks, chocolate milk, apple juice, mango juice, and mouth wash\"\n11601,2017/08/19,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n11602,2017/08/19,\"I had lunch with Lydia, Nevaeh, Nora, Hazel, Claire, Olivia. I ate a burger.\",\"I had lunch with Lydia, Nevaeh, Nora, Hazel, Claire, Olivia. I ate a burger.\"\n11603,2017/08/19,\"I had a burger for dinner with Kayden, Carter, Andrew\",\"I had a burger for dinner with Kayden, Carter, Andrew\"\n11604,2017/08/19,\"I talked to Kinsley, Piper, Rylee, Claire for 46 minutes during lunch hours.\",\"I talked to Kinsley, Piper, Rylee, Claire for 46 minutes during lunch hours.\"\n11605,2017/08/20,\"I bought some apricots, strawberries, mandarins, raspberries, milk, shampoo, paper towel, body lotion online.\",\"I bought some apricots, strawberries, mandarins, raspberries, milk, shampoo, paper towel, body lotion online.\"\n11606,2017/08/20,I did swimming on 2017/08/20.,I did swimming on 2017/08/20.\n11607,2017/08/20,\"I had breakfast with Kinsley, Nevaeh, Lydia, Nora, Claire, Olivia, Rylee. I ate eggs, sausages, and bread.\",\"I had breakfast with Kinsley, Nevaeh, Lydia, Nora, Claire, Olivia, Rylee. I ate eggs, sausages, and bread.\"\n11608,2017/08/20,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n11609,2017/08/20,\"I spent 25 talking to Kinsley, Piper, Claire on various topics during lunch hours.\",\"I spent 25 talking to Kinsley, Piper, Claire on various topics during lunch hours.\"\n11610,2017/08/21,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n11611,2017/08/21,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n11612,2017/08/21,I prepare sushi for dinner.,I prepare sushi for dinner.\n11613,2017/08/21,\"I spent 55 talking to Nora, Layla, Eva on various topics in the late afternoon.\",\"I spent 55 talking to Nora, Layla, Eva on various topics in the late afternoon.\"\n11614,2017/08/21,I talked to Piper for 26 minutes in the early afternoon.,I talked to Piper for 26 minutes in the early afternoon.\n11615,2017/08/22,\"I had steak for lunch with Jackson, Avery, Benjamin\",\"I had steak for lunch with Jackson, Avery, Benjamin\"\n11616,2017/08/22,\"I talked to Piper, Nora, Eva, Hazel for 43 minutes in the late afternoon.\",\"I talked to Piper, Nora, Eva, Hazel for 43 minutes in the late afternoon.\"\n11617,2017/08/22,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n11618,2017/08/23,I did hiking on 2017/08/23.,I did hiking on 2017/08/23.\n11619,2017/08/23,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n11620,2017/08/23,I ate chinese food for dinner.,I ate chinese food for dinner.\n11621,2017/08/23,\"I spent 21 talking to Olivia, Nevaeh, Avery on various topics in the early evening.\",\"I spent 21 talking to Olivia, Nevaeh, Avery on various topics in the early evening.\"\n11622,2017/08/23,I spent 22 minutes reading news today.,I spent 22 minutes reading news today.\n11623,2017/08/23,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n11624,2017/08/24,\"On 2017/08/24, I took Parker on a date to a boba shop\",\"On 2017/08/24, I took Parker on a date to a boba shop\"\n11625,2017/08/24,\"I had breakfast with Olivia, Lydia, Hazel. I ate pancakes.\",\"I had breakfast with Olivia, Lydia, Hazel. I ate pancakes.\"\n11626,2017/08/24,I prepare indian food for dinner.,I prepare indian food for dinner.\n11627,2017/08/24,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n11628,2017/08/25,\"I went grocery shopping. I bought some pears, bananas, orange juice, and paper towel, conditioner, mouth wash\",\"I went grocery shopping. I bought some pears, bananas, orange juice, and paper towel, conditioner, mouth wash\"\n11629,2017/08/25,I had lunch. I ate steak.,I had lunch. I ate steak.\n11630,2017/08/25,I prepare a burger for dinner.,I prepare a burger for dinner.\n11631,2017/08/25,I talked to Layla for 26 minutes in the early evening.,I talked to Layla for 26 minutes in the early evening.\n11632,2017/08/25,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n11633,2017/08/25,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n11634,2017/08/26,I did swimming on 2017/08/26.,I did swimming on 2017/08/26.\n11635,2017/08/26,\"I had indian food for lunch with Olivia, Nora, Lydia, Claire, Kinsley, Piper, Piper, Nevaeh, Layla\",\"I had indian food for lunch with Olivia, Nora, Lydia, Claire, Kinsley, Piper, Piper, Nevaeh, Layla\"\n11636,2017/08/26,I ate a burger for dinner.,I ate a burger for dinner.\n11637,2017/08/26,\"I spent 52 talking to Kinsley, Rylee, Avery on various topics in the morning.\",\"I spent 52 talking to Kinsley, Rylee, Avery on various topics in the morning.\"\n11638,2017/08/26,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n11639,2017/08/26,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n11640,2017/08/27,\"I had chinese food for dinner with Carter, Kayden\",\"I had chinese food for dinner with Carter, Kayden\"\n11641,2017/08/27,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n11642,2017/08/28,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n11643,2017/08/28,\"I had lunch with Emily, Andrew, Kayden. I ate tacos.\",\"I had lunch with Emily, Andrew, Kayden. I ate tacos.\"\n11644,2017/08/28,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n11645,2017/08/28,\"I spent 20 talking to Olivia, Hazel, Eva on various topics in the early evening.\",\"I spent 20 talking to Olivia, Hazel, Eva on various topics in the early evening.\"\n11646,2017/08/28,\"I talked to Layla, Lydia, Nora for 21 minutes in the early evening.\",\"I talked to Layla, Lydia, Nora for 21 minutes in the early evening.\"\n11647,2017/08/28,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n11648,2017/08/28,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n11649,2017/08/29,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n11650,2017/08/29,\"I talked to Layla, Olivia for 54 minutes in the morning.\",\"I talked to Layla, Olivia for 54 minutes in the morning.\"\n11651,2017/08/29,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n11652,2017/08/30,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n11653,2017/08/30,I had lunch with Kayden. I ate sandwich.,I had lunch with Kayden. I ate sandwich.\n11654,2017/08/30,\"I had dinner with Kayden, Carter, Emily. I ate sandwich.\",\"I had dinner with Kayden, Carter, Emily. I ate sandwich.\"\n11655,2017/08/30,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n11656,2017/08/30,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n11657,2017/08/31,\"I bought some oranges, watermelons, milk, mouth wash online.\",\"I bought some oranges, watermelons, milk, mouth wash online.\"\n11658,2017/08/31,\"I had eggs, sausages, and bread for breakfast with Hazel, Piper, Nora, Rylee, Eva, Nevaeh, Avery, Claire\",\"I had eggs, sausages, and bread for breakfast with Hazel, Piper, Nora, Rylee, Eva, Nevaeh, Avery, Claire\"\n11659,2017/08/31,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n11660,2017/08/31,I talked to Piper for 48 minutes in the late afternoon.,I talked to Piper for 48 minutes in the late afternoon.\n11661,2017/08/31,I watched a tv series for 8 minutes on TV today.,I watched a tv series for 8 minutes on TV today.\n11662,2017/09/01,I did running on 2017/09/01.,I did running on 2017/09/01.\n11663,2017/09/01,I spent 13 talking to Piper on various topics in the early evening.,I spent 13 talking to Piper on various topics in the early evening.\n11664,2017/09/02,\"I had breakfast with Kayden, Andrew, Carter, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Andrew, Carter, Emily. I ate eggs, sausages, and bread.\"\n11665,2017/09/02,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n11666,2017/09/02,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n11667,2017/09/03,I ate tacos for lunch.,I ate tacos for lunch.\n11668,2017/09/03,\"I spent 52 talking to Nevaeh, Hazel, Olivia, Nora on various topics in the morning.\",\"I spent 52 talking to Nevaeh, Hazel, Olivia, Nora on various topics in the morning.\"\n11669,2017/09/03,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n11670,2017/09/04,I did HIIT on 2017/09/04.,I did HIIT on 2017/09/04.\n11671,2017/09/04,I had breakfast with Andrew. I ate toast and cheese.,I had breakfast with Andrew. I ate toast and cheese.\n11672,2017/09/04,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n11673,2017/09/04,\"I had sandwich for dinner with Emily, Kayden, Carter\",\"I had sandwich for dinner with Emily, Kayden, Carter\"\n11674,2017/09/04,\"I spent 11 talking to Olivia, Avery, Piper, Layla on various topics in the early evening.\",\"I spent 11 talking to Olivia, Avery, Piper, Layla on various topics in the early evening.\"\n11675,2017/09/05,I went on a date with Brooklyn on 2017/09/05 at a restaurant,I went on a date with Brooklyn on 2017/09/05 at a restaurant\n11676,2017/09/05,I did hiking on 2017/09/05.,I did hiking on 2017/09/05.\n11677,2017/09/05,I ate sandwich for dinner.,I ate sandwich for dinner.\n11678,2017/09/05,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n11679,2017/09/06,\"I had breakfast with Emily, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Carter. I ate peanut-butter-jam.\"\n11680,2017/09/06,I ate steak for lunch.,I ate steak for lunch.\n11681,2017/09/06,I ate tacos for dinner.,I ate tacos for dinner.\n11682,2017/09/06,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n11683,2017/09/06,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n11684,2017/09/07,\"I talked to Eva, Hazel, Layla, Piper for 23 minutes in the late afternoon.\",\"I talked to Eva, Hazel, Layla, Piper for 23 minutes in the late afternoon.\"\n11685,2017/09/07,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n11686,2017/09/08,\"I went grocery shopping. I bought some guava, watermelons, mango juice, guava juice, chocolate milk, apple juice, and toothpaste, paper towel\",\"I went grocery shopping. I bought some guava, watermelons, mango juice, guava juice, chocolate milk, apple juice, and toothpaste, paper towel\"\n11687,2017/09/08,I ate chinese food for lunch.,I ate chinese food for lunch.\n11688,2017/09/08,I spent 40 talking to Lydia on various topics in the morning.,I spent 40 talking to Lydia on various topics in the morning.\n11689,2017/09/08,I spent 10 minutes reading a book today.,I spent 10 minutes reading a book today.\n11690,2017/09/09,I did biking on 2017/09/09.,I did biking on 2017/09/09.\n11691,2017/09/09,\"I had cereals for breakfast with Piper, Rylee\",\"I had cereals for breakfast with Piper, Rylee\"\n11692,2017/09/09,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n11693,2017/09/09,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n11694,2017/09/09,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n11695,2017/09/10,I did weight lifting on 2017/09/10.,I did weight lifting on 2017/09/10.\n11696,2017/09/10,\"I had peanut-butter-jam for breakfast with Jackson, Avery, Benjamin\",\"I had peanut-butter-jam for breakfast with Jackson, Avery, Benjamin\"\n11697,2017/09/10,\"I had fish and chips for lunch with Piper, Nevaeh, Hazel, Lydia, Layla, Kinsley, Claire, Eva\",\"I had fish and chips for lunch with Piper, Nevaeh, Hazel, Lydia, Layla, Kinsley, Claire, Eva\"\n11698,2017/09/10,I prepare pasta for dinner.,I prepare pasta for dinner.\n11699,2017/09/10,\"I talked to Claire, Eva, Kinsley for 37 minutes late in the evening.\",\"I talked to Claire, Eva, Kinsley for 37 minutes late in the evening.\"\n11700,2017/09/10,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n11701,2017/09/10,I watched a movie for 12 minutes on TV today.,I watched a movie for 12 minutes on TV today.\n11702,2017/09/11,\"I bought some raspberries, guava, pineapples, watermelons, soda, guava juice, orange juice, paper towel, mouthwash, toothpaste, body lotion online.\",\"I bought some raspberries, guava, pineapples, watermelons, soda, guava juice, orange juice, paper towel, mouthwash, toothpaste, body lotion online.\"\n11703,2017/09/11,I had breakfast with Jackson. I ate oatmeal.,I had breakfast with Jackson. I ate oatmeal.\n11704,2017/09/11,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n11705,2017/09/11,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n11706,2017/09/12,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n11707,2017/09/12,I prepare a burger for lunch.,I prepare a burger for lunch.\n11708,2017/09/12,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n11709,2017/09/13,\"I bought some nectarines, soda, sports drinks, guava juice, toilet paper, facial wash, mouth wash, toothpaste from the grocery store. I saw Jackson, Benjamin, Willow, Avery at the grocery store.\",\"I bought some nectarines, soda, sports drinks, guava juice, toilet paper, facial wash, mouth wash, toothpaste from the grocery store. I saw Jackson, Benjamin, Willow, Avery at the grocery store.\"\n11710,2017/09/13,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n11711,2017/09/13,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n11712,2017/09/14,I did biking on 2017/09/14.,I did biking on 2017/09/14.\n11713,2017/09/14,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n11714,2017/09/14,I had fish and chips for dinner with Emily,I had fish and chips for dinner with Emily\n11715,2017/09/14,I spent 27 talking to Olivia on various topics in the late afternoon.,I spent 27 talking to Olivia on various topics in the late afternoon.\n11716,2017/09/14,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n11717,2017/09/14,I spent 43 minutes watching a tv series on TV today.,I spent 43 minutes watching a tv series on TV today.\n11718,2017/09/15,I did swimming on 2017/09/15.,I did swimming on 2017/09/15.\n11719,2017/09/15,I had a burger for lunch with Avery,I had a burger for lunch with Avery\n11720,2017/09/15,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n11721,2017/09/15,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n11722,2017/09/15,I spent 46 minutes watching a movie on TV today.,I spent 46 minutes watching a movie on TV today.\n11723,2017/09/16,I did swimming on 2017/09/16.,I did swimming on 2017/09/16.\n11724,2017/09/16,I ate cereals for breakfast.,I ate cereals for breakfast.\n11725,2017/09/16,\"I spent 13 talking to Eva, Claire on various topics during lunch hours.\",\"I spent 13 talking to Eva, Claire on various topics during lunch hours.\"\n11726,2017/09/16,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n11727,2017/09/17,I had lunch. I ate steak.,I had lunch. I ate steak.\n11728,2017/09/17,I ate sushi for dinner.,I ate sushi for dinner.\n11729,2017/09/17,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n11730,2017/09/18,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n11731,2017/09/18,\"I had lunch with Emily, Kayden, Carter, Andrew. I ate indian food.\",\"I had lunch with Emily, Kayden, Carter, Andrew. I ate indian food.\"\n11732,2017/09/18,I prepare pasta for dinner.,I prepare pasta for dinner.\n11733,2017/09/18,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n11734,2017/09/19,I ate cereals for breakfast.,I ate cereals for breakfast.\n11735,2017/09/19,\"I had lunch with Lydia, Layla, Eva, Nevaeh. I ate a burger.\",\"I had lunch with Lydia, Layla, Eva, Nevaeh. I ate a burger.\"\n11736,2017/09/19,\"I had chinese food for dinner with Kayden, Emily, Carter, Andrew\",\"I had chinese food for dinner with Kayden, Emily, Carter, Andrew\"\n11737,2017/09/20,\"I had breakfast with Carter, Kayden, Emily, Andrew. I ate pancakes.\",\"I had breakfast with Carter, Kayden, Emily, Andrew. I ate pancakes.\"\n11738,2017/09/20,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n11739,2017/09/20,I talked to Kinsley for 44 minutes in the morning.,I talked to Kinsley for 44 minutes in the morning.\n11740,2017/09/20,I talked to Piper for 35 minutes during lunch hours.,I talked to Piper for 35 minutes during lunch hours.\n11741,2017/09/20,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n11742,2017/09/21,\"I had breakfast with Claire, Kinsley, Lydia, Nora, Piper, Layla, Rylee, Piper. I ate pancakes.\",\"I had breakfast with Claire, Kinsley, Lydia, Nora, Piper, Layla, Rylee, Piper. I ate pancakes.\"\n11743,2017/09/21,I prepare a burger for lunch.,I prepare a burger for lunch.\n11744,2017/09/21,I spent 34 talking to Nora on various topics in the early evening.,I spent 34 talking to Nora on various topics in the early evening.\n11745,2017/09/22,I did weight lifting on 2017/09/22.,I did weight lifting on 2017/09/22.\n11746,2017/09/22,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n11747,2017/09/22,I prepare a burger for dinner.,I prepare a burger for dinner.\n11748,2017/09/22,\"I talked to Avery, Nora for 27 minutes in the early afternoon.\",\"I talked to Avery, Nora for 27 minutes in the early afternoon.\"\n11749,2017/09/22,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n11750,2017/09/22,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n11751,2017/09/23,I did biking on 2017/09/23.,I did biking on 2017/09/23.\n11752,2017/09/23,I ate pasta for lunch.,I ate pasta for lunch.\n11753,2017/09/23,\"I spent 17 talking to Layla, Lydia, Nevaeh, Nora on various topics in the late afternoon.\",\"I spent 17 talking to Layla, Lydia, Nevaeh, Nora on various topics in the late afternoon.\"\n11754,2017/09/23,\"I spent 12 talking to Lydia, Claire, Nora on various topics late in the evening.\",\"I spent 12 talking to Lydia, Claire, Nora on various topics late in the evening.\"\n11755,2017/09/24,I did biking on 2017/09/24.,I did biking on 2017/09/24.\n11756,2017/09/24,I ate indian food for lunch.,I ate indian food for lunch.\n11757,2017/09/24,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n11758,2017/09/24,\"I spent 40 talking to Lydia, Kinsley on various topics late in the evening.\",\"I spent 40 talking to Lydia, Kinsley on various topics late in the evening.\"\n11759,2017/09/24,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n11760,2017/09/24,I watched news for 13 minutes on TV today.,I watched news for 13 minutes on TV today.\n11761,2017/09/25,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n11762,2017/09/25,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n11763,2017/09/26,\"I had breakfast with Andrew, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Emily. I ate peanut-butter-jam.\"\n11764,2017/09/26,I ate sandwich for lunch.,I ate sandwich for lunch.\n11765,2017/09/26,\"I had dinner with Layla, Claire. I ate sandwich.\",\"I had dinner with Layla, Claire. I ate sandwich.\"\n11766,2017/09/26,I talked to Rylee for 28 minutes during lunch hours.,I talked to Rylee for 28 minutes during lunch hours.\n11767,2017/09/27,I had breakfast with Kayden. I ate cereals.,I had breakfast with Kayden. I ate cereals.\n11768,2017/09/27,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n11769,2017/09/28,I did swimming on 2017/09/28.,I did swimming on 2017/09/28.\n11770,2017/09/28,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n11771,2017/09/28,I prepare indian food for lunch.,I prepare indian food for lunch.\n11772,2017/09/28,\"I talked to Claire, Olivia, Rylee, Nevaeh for 23 minutes in the early evening.\",\"I talked to Claire, Olivia, Rylee, Nevaeh for 23 minutes in the early evening.\"\n11773,2017/09/28,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n11774,2017/09/29,I did HIIT on 2017/09/29.,I did HIIT on 2017/09/29.\n11775,2017/09/29,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n11776,2017/09/29,\"I had chinese food for lunch with Emily, Carter, Andrew\",\"I had chinese food for lunch with Emily, Carter, Andrew\"\n11777,2017/09/29,I had dinner with Emily. I ate tacos.,I had dinner with Emily. I ate tacos.\n11778,2017/09/30,\"I spent time working out on 2017/09/30 with Rylee, Hazel, Layla.\",\"I spent time working out on 2017/09/30 with Rylee, Hazel, Layla.\"\n11779,2017/09/30,I did hiking on 2017/09/30.,I did hiking on 2017/09/30.\n11780,2017/09/30,\"I had pancakes for breakfast with Kinsley, Rylee, Eva, Hazel, Nora, Avery, Piper\",\"I had pancakes for breakfast with Kinsley, Rylee, Eva, Hazel, Nora, Avery, Piper\"\n11781,2017/09/30,\"I had dinner with Andrew, Carter, Kayden, Emily. I ate tacos.\",\"I had dinner with Andrew, Carter, Kayden, Emily. I ate tacos.\"\n11782,2017/09/30,\"I spent 52 talking to Hazel, Lydia on various topics in the early evening.\",\"I spent 52 talking to Hazel, Lydia on various topics in the early evening.\"\n11783,2017/09/30,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n11784,2017/10/01,\"I spent time gardening on 2017/10/01 with Andrew, Carter.\",\"I spent time gardening on 2017/10/01 with Andrew, Carter.\"\n11785,2017/10/01,\"I bought some watermelons, strawberries, chocolate milk, soda, mineral water, toothpaste, body lotion, mouthwash, paper towel from the grocery store. I saw Nevaeh at the grocery store.\",\"I bought some watermelons, strawberries, chocolate milk, soda, mineral water, toothpaste, body lotion, mouthwash, paper towel from the grocery store. I saw Nevaeh at the grocery store.\"\n11786,2017/10/01,\"I spent 37 talking to Claire, Rylee, Avery on various topics in the late afternoon.\",\"I spent 37 talking to Claire, Rylee, Avery on various topics in the late afternoon.\"\n11787,2017/10/01,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n11788,2017/10/02,I did running on 2017/10/02.,I did running on 2017/10/02.\n11789,2017/10/02,I prepare sushi for lunch.,I prepare sushi for lunch.\n11790,2017/10/02,\"I spent 53 talking to Nora, Rylee on various topics late in the evening.\",\"I spent 53 talking to Nora, Rylee on various topics late in the evening.\"\n11791,2017/10/02,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n11792,2017/10/02,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n11793,2017/10/03,\"I had peanut-butter-jam for breakfast with Willow, Benjamin, Avery\",\"I had peanut-butter-jam for breakfast with Willow, Benjamin, Avery\"\n11794,2017/10/03,I ate indian food for dinner.,I ate indian food for dinner.\n11795,2017/10/03,I spent 41 talking to Avery on various topics in the early afternoon.,I spent 41 talking to Avery on various topics in the early afternoon.\n11796,2017/10/03,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n11797,2017/10/04,I did biking on 2017/10/04.,I did biking on 2017/10/04.\n11798,2017/10/04,\"I spent 38 talking to Layla, Kinsley, Piper, Avery on various topics in the morning.\",\"I spent 38 talking to Layla, Kinsley, Piper, Avery on various topics in the morning.\"\n11799,2017/10/04,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n11800,2017/10/05,\"I had breakfast with Olivia, Piper, Nevaeh, Hazel, Rylee, Layla, Kinsley. I ate cereals.\",\"I had breakfast with Olivia, Piper, Nevaeh, Hazel, Rylee, Layla, Kinsley. I ate cereals.\"\n11801,2017/10/05,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n11802,2017/10/06,I did hiking on 2017/10/06.,I did hiking on 2017/10/06.\n11803,2017/10/06,\"I had breakfast with Avery, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Willow. I ate eggs, sausages, and bread.\"\n11804,2017/10/06,\"I spent 9 talking to Piper, Claire on various topics in the early afternoon.\",\"I spent 9 talking to Piper, Claire on various topics in the early afternoon.\"\n11805,2017/10/06,I spent 46 minutes watching a movie on TV today.,I spent 46 minutes watching a movie on TV today.\n11806,2017/10/07,\"On 2017/10/07, I took Eliana on a date to a restaurant\",\"On 2017/10/07, I took Eliana on a date to a restaurant\"\n11807,2017/10/07,\"I went grocery shopping. I bought some apricots, peaches, tea, apple juice, sports drinks, and conditioner\",\"I went grocery shopping. I bought some apricots, peaches, tea, apple juice, sports drinks, and conditioner\"\n11808,2017/10/07,\"I had breakfast with Rylee. I ate eggs, sausages, and bread.\",\"I had breakfast with Rylee. I ate eggs, sausages, and bread.\"\n11809,2017/10/07,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n11810,2017/10/07,I spent 21 talking to Nora on various topics in the late afternoon.,I spent 21 talking to Nora on various topics in the late afternoon.\n11811,2017/10/08,I did swimming on 2017/10/08.,I did swimming on 2017/10/08.\n11812,2017/10/08,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n11813,2017/10/08,\"I spent 28 talking to Avery, Nora on various topics late in the evening.\",\"I spent 28 talking to Avery, Nora on various topics late in the evening.\"\n11814,2017/10/08,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n11815,2017/10/09,I did HIIT on 2017/10/09.,I did HIIT on 2017/10/09.\n11816,2017/10/09,I spent 44 talking to Kinsley on various topics late in the evening.,I spent 44 talking to Kinsley on various topics late in the evening.\n11817,2017/10/10,I had breakfast with Piper. I ate cereals.,I had breakfast with Piper. I ate cereals.\n11818,2017/10/10,I spent 24 talking to Piper on various topics in the late afternoon.,I spent 24 talking to Piper on various topics in the late afternoon.\n11819,2017/10/10,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n11820,2017/10/11,I did running on 2017/10/11.,I did running on 2017/10/11.\n11821,2017/10/11,\"I spent 34 talking to Hazel, Nora, Olivia on various topics during lunch hours.\",\"I spent 34 talking to Hazel, Nora, Olivia on various topics during lunch hours.\"\n11822,2017/10/11,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n11823,2017/10/11,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n11824,2017/10/12,I did swimming on 2017/10/12.,I did swimming on 2017/10/12.\n11825,2017/10/12,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n11826,2017/10/12,\"I had lunch with Layla, Piper, Hazel. I ate sandwich.\",\"I had lunch with Layla, Piper, Hazel. I ate sandwich.\"\n11827,2017/10/12,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n11828,2017/10/12,\"I talked to Rylee, Piper, Piper, Nora for 8 minutes in the morning.\",\"I talked to Rylee, Piper, Piper, Nora for 8 minutes in the morning.\"\n11829,2017/10/13,I prepare tacos for lunch.,I prepare tacos for lunch.\n11830,2017/10/13,I spent 45 talking to Layla on various topics during lunch hours.,I spent 45 talking to Layla on various topics during lunch hours.\n11831,2017/10/13,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n11832,2017/10/13,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n11833,2017/10/14,I did HIIT on 2017/10/14.,I did HIIT on 2017/10/14.\n11834,2017/10/14,\"I had breakfast with Carter, Emily, Kayden, Andrew. I ate cereals.\",\"I had breakfast with Carter, Emily, Kayden, Andrew. I ate cereals.\"\n11835,2017/10/14,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n11836,2017/10/14,I ate tacos for dinner.,I ate tacos for dinner.\n11837,2017/10/14,\"I spent 25 talking to Kinsley, Nevaeh, Olivia, Layla on various topics late in the evening.\",\"I spent 25 talking to Kinsley, Nevaeh, Olivia, Layla on various topics late in the evening.\"\n11838,2017/10/15,I did hiking on 2017/10/15.,I did hiking on 2017/10/15.\n11839,2017/10/15,I ate indian food for dinner.,I ate indian food for dinner.\n11840,2017/10/15,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n11841,2017/10/16,\"I had breakfast with Emily, Kayden, Carter. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Kayden, Carter. I ate peanut-butter-jam.\"\n11842,2017/10/16,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n11843,2017/10/16,I ate pasta for dinner.,I ate pasta for dinner.\n11844,2017/10/16,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n11845,2017/10/17,\"On 2017/10/17, I took Jace on a date to a boba shop\",\"On 2017/10/17, I took Jace on a date to a boba shop\"\n11846,2017/10/17,\"I bought some cherres, mangos, watermelons, clementines, tea, orange juice, shaving cream from the grocery store. I saw Claire, Avery, Kinsley, Piper, Nora, Eva, Hazel, Rylee, Piper at the grocery store.\",\"I bought some cherres, mangos, watermelons, clementines, tea, orange juice, shaving cream from the grocery store. I saw Claire, Avery, Kinsley, Piper, Nora, Eva, Hazel, Rylee, Piper at the grocery store.\"\n11847,2017/10/17,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n11848,2017/10/17,I had sushi for dinner with Avery,I had sushi for dinner with Avery\n11849,2017/10/17,I spent 6 talking to Piper on various topics late in the evening.,I spent 6 talking to Piper on various topics late in the evening.\n11850,2017/10/17,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n11851,2017/10/18,\"I had oatmeal for breakfast with Nevaeh, Kinsley, Avery, Piper, Eva, Piper, Claire, Layla, Olivia, Rylee, Hazel, Nora, Lydia\",\"I had oatmeal for breakfast with Nevaeh, Kinsley, Avery, Piper, Eva, Piper, Claire, Layla, Olivia, Rylee, Hazel, Nora, Lydia\"\n11852,2017/10/18,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n11853,2017/10/18,\"I spent 11 talking to Lydia, Eva, Nora on various topics in the early evening.\",\"I spent 11 talking to Lydia, Eva, Nora on various topics in the early evening.\"\n11854,2017/10/18,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n11855,2017/10/19,\"I went grocery shopping with Emily. I bought some oranges, raspberries, chocolate milk, and mouthwash, toilet paper, toothbrush\",\"I went grocery shopping with Emily. I bought some oranges, raspberries, chocolate milk, and mouthwash, toilet paper, toothbrush\"\n11856,2017/10/19,I did HIIT on 2017/10/19.,I did HIIT on 2017/10/19.\n11857,2017/10/19,I ate steak for lunch.,I ate steak for lunch.\n11858,2017/10/19,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n11859,2017/10/20,I spent some time yoga on 2017/10/20.,I spent some time yoga on 2017/10/20.\n11860,2017/10/20,\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter\",\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter\"\n11861,2017/10/20,I ate sandwich for dinner.,I ate sandwich for dinner.\n11862,2017/10/20,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n11863,2017/10/21,I did running on 2017/10/21.,I did running on 2017/10/21.\n11864,2017/10/21,\"I had peanut-butter-jam for breakfast with Eva, Nevaeh, Layla, Claire, Lydia, Piper, Avery, Rylee, Hazel, Olivia, Piper, Kinsley\",\"I had peanut-butter-jam for breakfast with Eva, Nevaeh, Layla, Claire, Lydia, Piper, Avery, Rylee, Hazel, Olivia, Piper, Kinsley\"\n11865,2017/10/21,I spent 5 talking to Olivia on various topics in the early afternoon.,I spent 5 talking to Olivia on various topics in the early afternoon.\n11866,2017/10/21,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n11867,2017/10/22,I had indian food for dinner with Carter,I had indian food for dinner with Carter\n11868,2017/10/23,I really enjoyed cooking chinese broccoli with oyster sauce on 2017/10/23 with Kayden at my place,I really enjoyed cooking chinese broccoli with oyster sauce on 2017/10/23 with Kayden at my place\n11869,2017/10/23,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n11870,2017/10/23,\"I talked to Avery, Lydia for 40 minutes in the early evening.\",\"I talked to Avery, Lydia for 40 minutes in the early evening.\"\n11871,2017/10/23,\"I spent 10 talking to Kinsley, Layla, Olivia, Nevaeh on various topics in the early evening.\",\"I spent 10 talking to Kinsley, Layla, Olivia, Nevaeh on various topics in the early evening.\"\n11872,2017/10/23,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n11873,2017/10/23,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n11874,2017/10/24,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n11875,2017/10/24,I ate sushi for lunch.,I ate sushi for lunch.\n11876,2017/10/24,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n11877,2017/10/24,\"I talked to Olivia, Eva, Claire for 23 minutes in the morning.\",\"I talked to Olivia, Eva, Claire for 23 minutes in the morning.\"\n11878,2017/10/24,\"I spent 29 talking to Claire, Avery, Olivia on various topics in the early afternoon.\",\"I spent 29 talking to Claire, Avery, Olivia on various topics in the early afternoon.\"\n11879,2017/10/25,I prepare tacos for lunch.,I prepare tacos for lunch.\n11880,2017/10/25,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n11881,2017/10/26,I went on a date with Aubrey on 2017/10/26 at a boba shop,I went on a date with Aubrey on 2017/10/26 at a boba shop\n11882,2017/10/26,\"I had breakfast with Avery, Piper, Nevaeh, Eva, Kinsley, Olivia, Nora, Layla, Lydia. I ate oatmeal.\",\"I had breakfast with Avery, Piper, Nevaeh, Eva, Kinsley, Olivia, Nora, Layla, Lydia. I ate oatmeal.\"\n11883,2017/10/26,\"I talked to Olivia, Kinsley for 49 minutes during lunch hours.\",\"I talked to Olivia, Kinsley for 49 minutes during lunch hours.\"\n11884,2017/10/26,I watched news for 40 minutes on TV today.,I watched news for 40 minutes on TV today.\n11885,2017/10/27,my parents for their and I went for an annual physical checkup at the university hospital on 2017/10/27.,my parents for their and I went for an annual physical checkup at the university hospital on 2017/10/27.\n11886,2017/10/27,\"I bought some guava, pears, mineral water, orange juice, shaving cream, mouthwash, toilet paper, paper towel online.\",\"I bought some guava, pears, mineral water, orange juice, shaving cream, mouthwash, toilet paper, paper towel online.\"\n11887,2017/10/27,I did HIIT on 2017/10/27.,I did HIIT on 2017/10/27.\n11888,2017/10/27,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n11889,2017/10/27,\"I had lunch with Kayden, Andrew. I ate pasta.\",\"I had lunch with Kayden, Andrew. I ate pasta.\"\n11890,2017/10/27,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n11891,2017/10/27,\"I spent 9 talking to Eva, Nora, Hazel on various topics during lunch hours.\",\"I spent 9 talking to Eva, Nora, Hazel on various topics during lunch hours.\"\n11892,2017/10/27,I talked to Hazel for 30 minutes during lunch hours.,I talked to Hazel for 30 minutes during lunch hours.\n11893,2017/10/27,I spent 13 minutes watching a movie on TV today.,I spent 13 minutes watching a movie on TV today.\n11894,2017/10/28,I prepare indian food for lunch.,I prepare indian food for lunch.\n11895,2017/10/28,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n11896,2017/10/28,I spent 43 talking to Hazel on various topics in the early evening.,I spent 43 talking to Hazel on various topics in the early evening.\n11897,2017/10/29,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n11898,2017/10/30,\"I spent 9 talking to Rylee, Lydia, Piper on various topics in the early evening.\",\"I spent 9 talking to Rylee, Lydia, Piper on various topics in the early evening.\"\n11899,2017/10/30,\"I talked to Piper, Nevaeh for 26 minutes in the morning.\",\"I talked to Piper, Nevaeh for 26 minutes in the morning.\"\n11900,2017/10/30,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n11901,2017/10/30,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n11902,2017/10/31,I had breakfast with Willow. I ate peanut-butter-jam.,I had breakfast with Willow. I ate peanut-butter-jam.\n11903,2017/10/31,I ate steak for lunch.,I ate steak for lunch.\n11904,2017/10/31,I talked to Hazel for 28 minutes in the early afternoon.,I talked to Hazel for 28 minutes in the early afternoon.\n11905,2017/11/01,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n11906,2017/11/01,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n11907,2017/11/01,I spent 48 minutes watching a documentary on TV today.,I spent 48 minutes watching a documentary on TV today.\n11908,2017/11/02,I did swimming on 2017/11/02.,I did swimming on 2017/11/02.\n11909,2017/11/02,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n11910,2017/11/02,I spent 35 talking to Piper on various topics during lunch hours.,I spent 35 talking to Piper on various topics during lunch hours.\n11911,2017/11/02,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n11912,2017/11/03,I did hiking on 2017/11/03.,I did hiking on 2017/11/03.\n11913,2017/11/04,\"I bought some raspberries, pears, cherres, sports drinks, mouthwash, conditioner from the grocery store. I saw Rylee, Avery, Hazel at the grocery store.\",\"I bought some raspberries, pears, cherres, sports drinks, mouthwash, conditioner from the grocery store. I saw Rylee, Avery, Hazel at the grocery store.\"\n11914,2017/11/04,I did swimming on 2017/11/04.,I did swimming on 2017/11/04.\n11915,2017/11/04,I had oatmeal for breakfast with Carter,I had oatmeal for breakfast with Carter\n11916,2017/11/04,\"I talked to Layla, Lydia for 38 minutes during lunch hours.\",\"I talked to Layla, Lydia for 38 minutes during lunch hours.\"\n11917,2017/11/05,\"On 2017/11/05, I took Quinn on a date to a restaurant\",\"On 2017/11/05, I took Quinn on a date to a restaurant\"\n11918,2017/11/05,I ate sandwich for lunch.,I ate sandwich for lunch.\n11919,2017/11/05,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n11920,2017/11/05,\"I spent 20 talking to Layla, Piper, Claire, Nevaeh on various topics during lunch hours.\",\"I spent 20 talking to Layla, Piper, Claire, Nevaeh on various topics during lunch hours.\"\n11921,2017/11/05,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n11922,2017/11/06,I did hiking on 2017/11/06.,I did hiking on 2017/11/06.\n11923,2017/11/06,I ate chinese food for dinner.,I ate chinese food for dinner.\n11924,2017/11/06,\"I spent 42 talking to Nora, Claire on various topics in the morning.\",\"I spent 42 talking to Nora, Claire on various topics in the morning.\"\n11925,2017/11/06,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n11926,2017/11/07,\"I had lunch with Carter, Andrew, Emily. I ate sushi.\",\"I had lunch with Carter, Andrew, Emily. I ate sushi.\"\n11927,2017/11/07,\"I had dinner with Kayden, Emily. I ate sandwich.\",\"I had dinner with Kayden, Emily. I ate sandwich.\"\n11928,2017/11/07,I spent 46 talking to Layla on various topics in the morning.,I spent 46 talking to Layla on various topics in the morning.\n11929,2017/11/07,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n11930,2017/11/07,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n11931,2017/11/08,\"I bought some nectarines, apples, raspberries, guava juice, coffee, soda, conditioner from the grocery store. I saw Kayden, Carter, Emily, Andrew at the grocery store.\",\"I bought some nectarines, apples, raspberries, guava juice, coffee, soda, conditioner from the grocery store. I saw Kayden, Carter, Emily, Andrew at the grocery store.\"\n11932,2017/11/08,\"I had breakfast with Andrew, Carter. I ate toast and cheese.\",\"I had breakfast with Andrew, Carter. I ate toast and cheese.\"\n11933,2017/11/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n11934,2017/11/08,I prepare indian food for dinner.,I prepare indian food for dinner.\n11935,2017/11/08,\"I talked to Layla, Olivia for 35 minutes late in the evening.\",\"I talked to Layla, Olivia for 35 minutes late in the evening.\"\n11936,2017/11/08,\"I spent 55 talking to Piper, Hazel, Kinsley, Lydia on various topics during lunch hours.\",\"I spent 55 talking to Piper, Hazel, Kinsley, Lydia on various topics during lunch hours.\"\n11937,2017/11/08,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n11938,2017/11/08,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n11939,2017/11/09,\"I had dinner with Claire, Layla, Kinsley, Nevaeh, Hazel, Piper, Eva, Piper, Avery, Olivia. I ate steak.\",\"I had dinner with Claire, Layla, Kinsley, Nevaeh, Hazel, Piper, Eva, Piper, Avery, Olivia. I ate steak.\"\n11940,2017/11/09,I spent 53 talking to Nora on various topics in the early evening.,I spent 53 talking to Nora on various topics in the early evening.\n11941,2017/11/09,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n11942,2017/11/10,I ate steak for lunch.,I ate steak for lunch.\n11943,2017/11/10,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n11944,2017/11/11,\"I entertained Willow at my place on 2017/11/11 and cook hamburger stroganoff, favorite chicken potpie, ramen noodle stir-fry\",\"I entertained Willow at my place on 2017/11/11 and cook hamburger stroganoff, favorite chicken potpie, ramen noodle stir-fry\"\n11945,2017/11/11,I did hiking on 2017/11/11.,I did hiking on 2017/11/11.\n11946,2017/11/11,I ate indian food for lunch.,I ate indian food for lunch.\n11947,2017/11/11,\"I had dinner with Carter, Andrew. I ate tacos.\",\"I had dinner with Carter, Andrew. I ate tacos.\"\n11948,2017/11/11,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n11949,2017/11/12,I did weight lifting on 2017/11/12.,I did weight lifting on 2017/11/12.\n11950,2017/11/12,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n11951,2017/11/12,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n11952,2017/11/13,\"I had lunch with Jackson, Avery, Benjamin. I ate sandwich.\",\"I had lunch with Jackson, Avery, Benjamin. I ate sandwich.\"\n11953,2017/11/13,\"I spent 39 talking to Rylee, Nora, Layla on various topics in the early evening.\",\"I spent 39 talking to Rylee, Nora, Layla on various topics in the early evening.\"\n11954,2017/11/13,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n11955,2017/11/14,I went on a date with Noah on 2017/11/14 at a park,I went on a date with Noah on 2017/11/14 at a park\n11956,2017/11/14,\"I went grocery shopping with Emily, Andrew. I bought some watermelons, cherres, guava, strawberries, coffee, sports drinks, and shaving cream, facial wash, conditioner\",\"I went grocery shopping with Emily, Andrew. I bought some watermelons, cherres, guava, strawberries, coffee, sports drinks, and shaving cream, facial wash, conditioner\"\n11957,2017/11/14,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n11958,2017/11/14,I prepare a burger for lunch.,I prepare a burger for lunch.\n11959,2017/11/14,\"I talked to Layla, Eva, Hazel, Olivia for 48 minutes in the early afternoon.\",\"I talked to Layla, Eva, Hazel, Olivia for 48 minutes in the early afternoon.\"\n11960,2017/11/14,I watched a movie for 20 minutes on TV today.,I watched a movie for 20 minutes on TV today.\n11961,2017/11/15,I did hiking on 2017/11/15.,I did hiking on 2017/11/15.\n11962,2017/11/15,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n11963,2017/11/15,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n11964,2017/11/15,I watched a documentary for 35 minutes on TV today.,I watched a documentary for 35 minutes on TV today.\n11965,2017/11/16,I had lunch with Benjamin. I ate indian food.,I had lunch with Benjamin. I ate indian food.\n11966,2017/11/16,\"I talked to Eva, Olivia, Avery, Lydia for 19 minutes during lunch hours.\",\"I talked to Eva, Olivia, Avery, Lydia for 19 minutes during lunch hours.\"\n11967,2017/11/16,I spent 55 talking to Olivia on various topics in the morning.,I spent 55 talking to Olivia on various topics in the morning.\n11968,2017/11/17,\"I had dinner with Emily, Andrew, Carter, Kayden. I ate tacos.\",\"I had dinner with Emily, Andrew, Carter, Kayden. I ate tacos.\"\n11969,2017/11/17,\"I talked to Rylee, Nora, Piper for 48 minutes in the early afternoon.\",\"I talked to Rylee, Nora, Piper for 48 minutes in the early afternoon.\"\n11970,2017/11/18,\"I spent time meditation on 2017/11/18 with Layla, Eva.\",\"I spent time meditation on 2017/11/18 with Layla, Eva.\"\n11971,2017/11/18,I did swimming on 2017/11/18.,I did swimming on 2017/11/18.\n11972,2017/11/18,I had lunch with Emily. I ate sushi.,I had lunch with Emily. I ate sushi.\n11973,2017/11/18,\"I had dinner with Emily, Carter, Andrew. I ate steak.\",\"I had dinner with Emily, Carter, Andrew. I ate steak.\"\n11974,2017/11/18,\"I talked to Layla, Piper, Piper, Nevaeh for 46 minutes in the morning.\",\"I talked to Layla, Piper, Piper, Nevaeh for 46 minutes in the morning.\"\n11975,2017/11/18,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n11976,2017/11/19,I really enjoyed working out on 2017/11/19,I really enjoyed working out on 2017/11/19\n11977,2017/11/19,I did weight lifting on 2017/11/19.,I did weight lifting on 2017/11/19.\n11978,2017/11/19,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n11979,2017/11/19,I prepare tacos for dinner.,I prepare tacos for dinner.\n11980,2017/11/19,I spent 5 talking to Hazel on various topics late in the evening.,I spent 5 talking to Hazel on various topics late in the evening.\n11981,2017/11/19,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n11982,2017/11/20,\"I went grocery shopping with Rylee, Nora, Lydia, Claire, Piper, Avery. I bought some mangos, blackberries, mandarins, apples, pineapple juice, apple juice, and toothpaste\",\"I went grocery shopping with Rylee, Nora, Lydia, Claire, Piper, Avery. I bought some mangos, blackberries, mandarins, apples, pineapple juice, apple juice, and toothpaste\"\n11983,2017/11/20,\"I had breakfast with Emily, Carter, Kayden. I ate pancakes.\",\"I had breakfast with Emily, Carter, Kayden. I ate pancakes.\"\n11984,2017/11/20,I spent 37 talking to Kinsley on various topics in the early evening.,I spent 37 talking to Kinsley on various topics in the early evening.\n11985,2017/11/21,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n11986,2017/11/22,\"I had tacos for dinner with Nora, Hazel, Olivia, Avery, Eva, Lydia, Kinsley, Rylee, Layla\",\"I had tacos for dinner with Nora, Hazel, Olivia, Avery, Eva, Lydia, Kinsley, Rylee, Layla\"\n11987,2017/11/22,\"I spent 14 talking to Nora, Avery, Lydia on various topics in the early afternoon.\",\"I spent 14 talking to Nora, Avery, Lydia on various topics in the early afternoon.\"\n11988,2017/11/22,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n11989,2017/11/23,\"On 2017/11/23, I took Mason on a date to a park\",\"On 2017/11/23, I took Mason on a date to a park\"\n11990,2017/11/23,\"I had eggs, sausages, and bread for breakfast with Andrew\",\"I had eggs, sausages, and bread for breakfast with Andrew\"\n11991,2017/11/23,\"I had indian food for lunch with Kayden, Emily, Carter, Andrew\",\"I had indian food for lunch with Kayden, Emily, Carter, Andrew\"\n11992,2017/11/23,I prepare tacos for dinner.,I prepare tacos for dinner.\n11993,2017/11/23,\"I spent 13 talking to Claire, Layla on various topics in the late afternoon.\",\"I spent 13 talking to Claire, Layla on various topics in the late afternoon.\"\n11994,2017/11/23,I spent 16 minutes reading news today.,I spent 16 minutes reading news today.\n11995,2017/11/24,\"I spent time meditation on 2017/11/24 with Jackson, Avery.\",\"I spent time meditation on 2017/11/24 with Jackson, Avery.\"\n11996,2017/11/24,I did swimming on 2017/11/24.,I did swimming on 2017/11/24.\n11997,2017/11/24,I spent 29 talking to Nora on various topics late in the evening.,I spent 29 talking to Nora on various topics late in the evening.\n11998,2017/11/24,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n11999,2017/11/24,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n12000,2017/11/25,I went for an annual dental cleaning and checkup on 2017/11/25 at the university hospital.,I went for an annual dental cleaning and checkup on 2017/11/25 at the university hospital.\n12001,2017/11/25,\"I spent 12 talking to Kinsley, Layla on various topics during lunch hours.\",\"I spent 12 talking to Kinsley, Layla on various topics during lunch hours.\"\n12002,2017/11/25,I talked to Rylee for 41 minutes during lunch hours.,I talked to Rylee for 41 minutes during lunch hours.\n12003,2017/11/26,I ate chinese food for lunch.,I ate chinese food for lunch.\n12004,2017/11/27,I did biking on 2017/11/27.,I did biking on 2017/11/27.\n12005,2017/11/27,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n12006,2017/11/27,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n12007,2017/11/28,I ate tacos for lunch.,I ate tacos for lunch.\n12008,2017/11/28,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n12009,2017/11/28,\"I talked to Piper, Claire for 20 minutes during lunch hours.\",\"I talked to Piper, Claire for 20 minutes during lunch hours.\"\n12010,2017/11/28,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n12011,2017/11/29,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n12012,2017/11/29,\"I had sandwich for dinner with Nevaeh, Avery, Eva, Hazel, Rylee, Piper, Nora, Lydia\",\"I had sandwich for dinner with Nevaeh, Avery, Eva, Hazel, Rylee, Piper, Nora, Lydia\"\n12013,2017/11/29,\"I talked to Eva, Piper, Piper for 28 minutes in the early afternoon.\",\"I talked to Eva, Piper, Piper for 28 minutes in the early afternoon.\"\n12014,2017/11/29,\"I spent 15 talking to Layla, Nora, Nevaeh on various topics in the early afternoon.\",\"I spent 15 talking to Layla, Nora, Nevaeh on various topics in the early afternoon.\"\n12015,2017/11/29,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n12016,2017/11/30,I did weight lifting on 2017/11/30.,I did weight lifting on 2017/11/30.\n12017,2017/11/30,\"I talked to Avery, Olivia for 11 minutes late in the evening.\",\"I talked to Avery, Olivia for 11 minutes late in the evening.\"\n12018,2017/11/30,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n12019,2017/11/30,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n12020,2017/12/01,\"I bought some apricots, guava, chocolate milk, mineral water, milk, soda, mouthwash, shampoo online.\",\"I bought some apricots, guava, chocolate milk, mineral water, milk, soda, mouthwash, shampoo online.\"\n12021,2017/12/01,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n12022,2017/12/01,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n12023,2017/12/01,\"I talked to Avery, Piper for 5 minutes in the late afternoon.\",\"I talked to Avery, Piper for 5 minutes in the late afternoon.\"\n12024,2017/12/02,I did biking on 2017/12/02.,I did biking on 2017/12/02.\n12025,2017/12/02,I had breakfast with Andrew. I ate toast and cheese.,I had breakfast with Andrew. I ate toast and cheese.\n12026,2017/12/02,I ate chinese food for lunch.,I ate chinese food for lunch.\n12027,2017/12/02,I ate a burger for dinner.,I ate a burger for dinner.\n12028,2017/12/03,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12029,2017/12/03,\"I had dinner with Willow, Jackson. I ate sandwich.\",\"I had dinner with Willow, Jackson. I ate sandwich.\"\n12030,2017/12/03,\"I talked to Kinsley, Layla for 14 minutes late in the evening.\",\"I talked to Kinsley, Layla for 14 minutes late in the evening.\"\n12031,2017/12/03,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n12032,2017/12/04,I did swimming on 2017/12/04.,I did swimming on 2017/12/04.\n12033,2017/12/04,I prepare sushi for lunch.,I prepare sushi for lunch.\n12034,2017/12/04,\"I had dinner with Avery, Benjamin, Willow. I ate tacos.\",\"I had dinner with Avery, Benjamin, Willow. I ate tacos.\"\n12035,2017/12/04,\"I spent 15 talking to Hazel, Avery, Nevaeh, Layla on various topics during lunch hours.\",\"I spent 15 talking to Hazel, Avery, Nevaeh, Layla on various topics during lunch hours.\"\n12036,2017/12/04,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n12037,2017/12/05,\"I went grocery shopping. I bought some mangos, sports drinks, coffee, and shampoo, shaving cream\",\"I went grocery shopping. I bought some mangos, sports drinks, coffee, and shampoo, shaving cream\"\n12038,2017/12/05,I did biking on 2017/12/05.,I did biking on 2017/12/05.\n12039,2017/12/05,I prepare sushi for lunch.,I prepare sushi for lunch.\n12040,2017/12/05,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n12041,2017/12/06,\"I had breakfast with Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily. I ate eggs, sausages, and bread.\"\n12042,2017/12/06,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n12043,2017/12/07,\"I really enjoyed cooking macaroni and cheese on 2017/12/07 with Avery, Benjamin, Willow, Jackson at my place\",\"I really enjoyed cooking macaroni and cheese on 2017/12/07 with Avery, Benjamin, Willow, Jackson at my place\"\n12044,2017/12/07,I ate sandwich for lunch.,I ate sandwich for lunch.\n12045,2017/12/07,\"I spent 47 talking to Avery, Eva, Olivia, Piper on various topics late in the evening.\",\"I spent 47 talking to Avery, Eva, Olivia, Piper on various topics late in the evening.\"\n12046,2017/12/07,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n12047,2017/12/07,I watched news for 51 minutes on TV today.,I watched news for 51 minutes on TV today.\n12048,2017/12/08,I had oatmeal for breakfast with Avery,I had oatmeal for breakfast with Avery\n12049,2017/12/08,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n12050,2017/12/08,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n12051,2017/12/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12052,2017/12/09,\"I had sandwich for lunch with Carter, Andrew, Emily\",\"I had sandwich for lunch with Carter, Andrew, Emily\"\n12053,2017/12/09,\"I talked to Kinsley, Layla, Hazel, Piper for 40 minutes during lunch hours.\",\"I talked to Kinsley, Layla, Hazel, Piper for 40 minutes during lunch hours.\"\n12054,2017/12/09,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n12055,2017/12/09,I watched a documentary for 27 minutes on TV today.,I watched a documentary for 27 minutes on TV today.\n12056,2017/12/10,I did hiking on 2017/12/10.,I did hiking on 2017/12/10.\n12057,2017/12/10,\"I had lunch with Emily, Kayden, Carter. I ate fish and chips.\",\"I had lunch with Emily, Kayden, Carter. I ate fish and chips.\"\n12058,2017/12/10,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n12059,2017/12/10,\"I talked to Claire, Hazel, Lydia, Piper for 23 minutes late in the evening.\",\"I talked to Claire, Hazel, Lydia, Piper for 23 minutes late in the evening.\"\n12060,2017/12/10,I talked to Nora for 49 minutes in the morning.,I talked to Nora for 49 minutes in the morning.\n12061,2017/12/11,I did swimming on 2017/12/11.,I did swimming on 2017/12/11.\n12062,2017/12/11,\"I had eggs, sausages, and bread for breakfast with Kayden, Andrew, Emily, Carter\",\"I had eggs, sausages, and bread for breakfast with Kayden, Andrew, Emily, Carter\"\n12063,2017/12/11,\"I had sushi for lunch with Emily, Andrew, Kayden, Carter\",\"I had sushi for lunch with Emily, Andrew, Kayden, Carter\"\n12064,2017/12/11,I ate tacos for dinner.,I ate tacos for dinner.\n12065,2017/12/11,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n12066,2017/12/11,I watched a tv series for 31 minutes on TV today.,I watched a tv series for 31 minutes on TV today.\n12067,2017/12/12,\"I entertained Carter, Andrew, Kayden, Emily at my place on 2017/12/12 and bake cinnamon sheet cake with cider frosting\",\"I entertained Carter, Andrew, Kayden, Emily at my place on 2017/12/12 and bake cinnamon sheet cake with cider frosting\"\n12068,2017/12/12,\"I bought some guava, apples, mango juice, pineapple juice, guava juice, milk, facial wash, toilet paper, conditioner, toothbrush from the grocery store. I saw Piper, Nevaeh, Lydia at the grocery store.\",\"I bought some guava, apples, mango juice, pineapple juice, guava juice, milk, facial wash, toilet paper, conditioner, toothbrush from the grocery store. I saw Piper, Nevaeh, Lydia at the grocery store.\"\n12069,2017/12/12,I did biking on 2017/12/12.,I did biking on 2017/12/12.\n12070,2017/12/12,\"I had lunch with Emily, Kayden, Andrew, Carter. I ate chinese food.\",\"I had lunch with Emily, Kayden, Andrew, Carter. I ate chinese food.\"\n12071,2017/12/12,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n12072,2017/12/13,I did HIIT on 2017/12/13.,I did HIIT on 2017/12/13.\n12073,2017/12/13,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12074,2017/12/13,I prepare pasta for dinner.,I prepare pasta for dinner.\n12075,2017/12/13,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n12076,2017/12/13,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n12077,2017/12/14,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n12078,2017/12/14,\"I had dinner with Andrew, Carter. I ate sandwich.\",\"I had dinner with Andrew, Carter. I ate sandwich.\"\n12079,2017/12/14,\"I spent 39 talking to Kinsley, Layla on various topics during lunch hours.\",\"I spent 39 talking to Kinsley, Layla on various topics during lunch hours.\"\n12080,2017/12/14,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n12081,2017/12/15,I did HIIT on 2017/12/15.,I did HIIT on 2017/12/15.\n12082,2017/12/15,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n12083,2017/12/15,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n12084,2017/12/15,\"I had dinner with Nora, Piper, Olivia, Kinsley. I ate pasta.\",\"I had dinner with Nora, Piper, Olivia, Kinsley. I ate pasta.\"\n12085,2017/12/15,\"I talked to Nora, Olivia, Piper for 47 minutes in the late afternoon.\",\"I talked to Nora, Olivia, Piper for 47 minutes in the late afternoon.\"\n12086,2017/12/15,\"I spent 53 talking to Nevaeh, Nora on various topics in the morning.\",\"I spent 53 talking to Nevaeh, Nora on various topics in the morning.\"\n12087,2017/12/16,I did HIIT on 2017/12/16.,I did HIIT on 2017/12/16.\n12088,2017/12/16,\"I had eggs, sausages, and bread for breakfast with Avery, Willow\",\"I had eggs, sausages, and bread for breakfast with Avery, Willow\"\n12089,2017/12/16,I had tacos for lunch with Kinsley,I had tacos for lunch with Kinsley\n12090,2017/12/16,\"I spent 23 talking to Hazel, Piper, Lydia, Eva on various topics late in the evening.\",\"I spent 23 talking to Hazel, Piper, Lydia, Eva on various topics late in the evening.\"\n12091,2017/12/16,\"I talked to Avery, Layla for 46 minutes during lunch hours.\",\"I talked to Avery, Layla for 46 minutes during lunch hours.\"\n12092,2017/12/16,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n12093,2017/12/16,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n12094,2017/12/17,I spent some time gardening on 2017/12/17.,I spent some time gardening on 2017/12/17.\n12095,2017/12/17,\"I had dinner with Avery, Eva, Claire, Layla, Kinsley, Piper, Nevaeh, Lydia, Nora, Piper, Hazel. I ate steak.\",\"I had dinner with Avery, Eva, Claire, Layla, Kinsley, Piper, Nevaeh, Lydia, Nora, Piper, Hazel. I ate steak.\"\n12096,2017/12/17,\"I talked to Claire, Nevaeh, Layla for 23 minutes in the early evening.\",\"I talked to Claire, Nevaeh, Layla for 23 minutes in the early evening.\"\n12097,2017/12/17,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n12098,2017/12/17,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n12099,2017/12/18,I did swimming on 2017/12/18.,I did swimming on 2017/12/18.\n12100,2017/12/18,\"I had sandwich for dinner with Avery, Jackson, Willow, Benjamin\",\"I had sandwich for dinner with Avery, Jackson, Willow, Benjamin\"\n12101,2017/12/18,I talked to Lydia for 6 minutes in the early afternoon.,I talked to Lydia for 6 minutes in the early afternoon.\n12102,2017/12/18,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n12103,2017/12/19,I ate indian food for lunch.,I ate indian food for lunch.\n12104,2017/12/19,I spent 37 talking to Avery on various topics late in the evening.,I spent 37 talking to Avery on various topics late in the evening.\n12105,2017/12/19,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n12106,2017/12/20,\"I had toast and cheese for breakfast with Piper, Avery, Piper, Hazel, Layla, Kinsley, Nora, Eva, Olivia\",\"I had toast and cheese for breakfast with Piper, Avery, Piper, Hazel, Layla, Kinsley, Nora, Eva, Olivia\"\n12107,2017/12/20,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n12108,2017/12/20,I prepare tacos for dinner.,I prepare tacos for dinner.\n12109,2017/12/20,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n12110,2017/12/20,I watched a movie for 27 minutes on TV today.,I watched a movie for 27 minutes on TV today.\n12111,2017/12/21,I did swimming on 2017/12/21.,I did swimming on 2017/12/21.\n12112,2017/12/21,\"I had pancakes for breakfast with Kayden, Emily, Andrew, Carter\",\"I had pancakes for breakfast with Kayden, Emily, Andrew, Carter\"\n12113,2017/12/21,I prepare tacos for dinner.,I prepare tacos for dinner.\n12114,2017/12/21,\"I talked to Piper, Eva, Piper for 13 minutes in the early afternoon.\",\"I talked to Piper, Eva, Piper for 13 minutes in the early afternoon.\"\n12115,2017/12/22,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n12116,2017/12/22,\"I spent 24 talking to Piper, Olivia on various topics in the early evening.\",\"I spent 24 talking to Piper, Olivia on various topics in the early evening.\"\n12117,2017/12/22,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n12118,2017/12/23,\"On 2017/12/23, I took Dylan on a date to a boba shop\",\"On 2017/12/23, I took Dylan on a date to a boba shop\"\n12119,2017/12/23,I did running on 2017/12/23.,I did running on 2017/12/23.\n12120,2017/12/23,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n12121,2017/12/24,I did weight lifting on 2017/12/24.,I did weight lifting on 2017/12/24.\n12122,2017/12/24,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n12123,2017/12/24,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n12124,2017/12/25,I did hiking on 2017/12/25.,I did hiking on 2017/12/25.\n12125,2017/12/25,I ate sushi for dinner.,I ate sushi for dinner.\n12126,2017/12/25,I watched a tv series for 25 minutes on TV today.,I watched a tv series for 25 minutes on TV today.\n12127,2017/12/26,\"I really enjoyed baking blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler on 2017/12/26 with Claire, Olivia, Piper at my place\",\"I really enjoyed baking blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler on 2017/12/26 with Claire, Olivia, Piper at my place\"\n12128,2017/12/26,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n12129,2017/12/26,\"I talked to Piper, Eva for 8 minutes during lunch hours.\",\"I talked to Piper, Eva for 8 minutes during lunch hours.\"\n12130,2017/12/26,\"I talked to Eva, Lydia for 40 minutes in the early evening.\",\"I talked to Eva, Lydia for 40 minutes in the early evening.\"\n12131,2017/12/26,I watched a documentary for 48 minutes on TV today.,I watched a documentary for 48 minutes on TV today.\n12132,2017/12/27,\"I had dinner with Piper, Lydia, Hazel, Nevaeh. I ate fish and chips.\",\"I had dinner with Piper, Lydia, Hazel, Nevaeh. I ate fish and chips.\"\n12133,2017/12/27,\"I talked to Kinsley, Layla for 41 minutes in the morning.\",\"I talked to Kinsley, Layla for 41 minutes in the morning.\"\n12134,2017/12/27,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n12135,2017/12/27,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n12136,2017/12/28,I did biking on 2017/12/28.,I did biking on 2017/12/28.\n12137,2017/12/28,I ate sushi for lunch.,I ate sushi for lunch.\n12138,2017/12/28,I ate a burger for dinner.,I ate a burger for dinner.\n12139,2017/12/28,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n12140,2017/12/29,\"On 2017/12/29, I took Jacob on a date to a coffee Shop\",\"On 2017/12/29, I took Jacob on a date to a coffee Shop\"\n12141,2017/12/29,I did biking on 2017/12/29.,I did biking on 2017/12/29.\n12142,2017/12/29,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n12143,2017/12/29,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n12144,2017/12/29,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n12145,2017/12/30,I spent some time working out on 2017/12/30.,I spent some time working out on 2017/12/30.\n12146,2017/12/30,I did hiking on 2017/12/30.,I did hiking on 2017/12/30.\n12147,2017/12/30,I ate sandwich for dinner.,I ate sandwich for dinner.\n12148,2017/12/30,\"I spent 55 talking to Claire, Olivia, Layla, Eva on various topics in the morning.\",\"I spent 55 talking to Claire, Olivia, Layla, Eva on various topics in the morning.\"\n12149,2017/12/31,\"I talked to Nora, Avery, Rylee for 14 minutes in the late afternoon.\",\"I talked to Nora, Avery, Rylee for 14 minutes in the late afternoon.\"\n12150,2017/12/31,\"I spent 40 talking to Eva, Piper, Kinsley on various topics late in the evening.\",\"I spent 40 talking to Eva, Piper, Kinsley on various topics late in the evening.\"\n12151,2017/12/31,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n12152,2017/12/31,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n12153,2018/01/01,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n12154,2018/01/01,I did HIIT on 2018/01/01.,I did HIIT on 2018/01/01.\n12155,2018/01/01,\"I had pancakes for breakfast with Nora, Hazel, Piper, Lydia, Claire, Layla, Rylee, Olivia, Nevaeh, Avery, Kinsley, Eva, Piper\",\"I had pancakes for breakfast with Nora, Hazel, Piper, Lydia, Claire, Layla, Rylee, Olivia, Nevaeh, Avery, Kinsley, Eva, Piper\"\n12156,2018/01/02,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12157,2018/01/02,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n12158,2018/01/02,\"I talked to Olivia, Nevaeh for 41 minutes in the late afternoon.\",\"I talked to Olivia, Nevaeh for 41 minutes in the late afternoon.\"\n12159,2018/01/02,\"I talked to Layla, Lydia, Nevaeh for 16 minutes during lunch hours.\",\"I talked to Layla, Lydia, Nevaeh for 16 minutes during lunch hours.\"\n12160,2018/01/02,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n12161,2018/01/03,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n12162,2018/01/03,\"I had sandwich for lunch with Avery, Eva, Rylee, Piper, Hazel, Layla, Olivia, Nora, Lydia, Nevaeh, Kinsley, Claire, Piper\",\"I had sandwich for lunch with Avery, Eva, Rylee, Piper, Hazel, Layla, Olivia, Nora, Lydia, Nevaeh, Kinsley, Claire, Piper\"\n12163,2018/01/04,\"I had oatmeal for breakfast with Carter, Kayden, Emily, Andrew\",\"I had oatmeal for breakfast with Carter, Kayden, Emily, Andrew\"\n12164,2018/01/04,I spent 25 talking to Claire on various topics late in the evening.,I spent 25 talking to Claire on various topics late in the evening.\n12165,2018/01/05,I went on a date with Silas on 2018/01/05 at a boba shop,I went on a date with Silas on 2018/01/05 at a boba shop\n12166,2018/01/05,I did running on 2018/01/05.,I did running on 2018/01/05.\n12167,2018/01/05,I had lunch with Emily. I ate indian food.,I had lunch with Emily. I ate indian food.\n12168,2018/01/05,\"I had chinese food for dinner with Avery, Willow, Benjamin, Jackson\",\"I had chinese food for dinner with Avery, Willow, Benjamin, Jackson\"\n12169,2018/01/05,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n12170,2018/01/06,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n12171,2018/01/06,I had indian food for dinner with Emily,I had indian food for dinner with Emily\n12172,2018/01/06,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n12173,2018/01/07,I did HIIT on 2018/01/07.,I did HIIT on 2018/01/07.\n12174,2018/01/07,\"I spent 6 talking to Lydia, Claire on various topics during lunch hours.\",\"I spent 6 talking to Lydia, Claire on various topics during lunch hours.\"\n12175,2018/01/07,I spent 22 minutes watching a movie on TV today.,I spent 22 minutes watching a movie on TV today.\n12176,2018/01/08,I prepare sushi for dinner.,I prepare sushi for dinner.\n12177,2018/01/08,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n12178,2018/01/09,I ate a burger for lunch.,I ate a burger for lunch.\n12179,2018/01/09,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n12180,2018/01/09,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n12181,2018/01/10,\"I bought some apples, apricots, clementines, pears, pineapple juice, mouth wash, shaving cream from the grocery store. I saw Emily, Andrew, Carter at the grocery store.\",\"I bought some apples, apricots, clementines, pears, pineapple juice, mouth wash, shaving cream from the grocery store. I saw Emily, Andrew, Carter at the grocery store.\"\n12182,2018/01/10,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12183,2018/01/10,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n12184,2018/01/10,I prepare a burger for dinner.,I prepare a burger for dinner.\n12185,2018/01/10,\"I talked to Hazel, Eva for 16 minutes in the morning.\",\"I talked to Hazel, Eva for 16 minutes in the morning.\"\n12186,2018/01/10,I spent 10 minutes on news today.,I spent 10 minutes on news today.\n12187,2018/01/11,\"I had chinese food for dinner with Eva, Avery, Nora, Kinsley, Nevaeh, Piper, Layla\",\"I had chinese food for dinner with Eva, Avery, Nora, Kinsley, Nevaeh, Piper, Layla\"\n12188,2018/01/11,I talked to Piper for 26 minutes in the late afternoon.,I talked to Piper for 26 minutes in the late afternoon.\n12189,2018/01/11,\"I talked to Lydia, Rylee for 10 minutes in the late afternoon.\",\"I talked to Lydia, Rylee for 10 minutes in the late afternoon.\"\n12190,2018/01/11,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n12191,2018/01/11,I spent 54 minutes watching a movie on TV today.,I spent 54 minutes watching a movie on TV today.\n12192,2018/01/12,I did biking on 2018/01/12.,I did biking on 2018/01/12.\n12193,2018/01/12,\"I spent 52 talking to Nora, Eva, Hazel on various topics in the early evening.\",\"I spent 52 talking to Nora, Eva, Hazel on various topics in the early evening.\"\n12194,2018/01/12,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n12195,2018/01/13,I did biking on 2018/01/13.,I did biking on 2018/01/13.\n12196,2018/01/13,I had lunch. I ate steak.,I had lunch. I ate steak.\n12197,2018/01/13,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n12198,2018/01/14,I did swimming on 2018/01/14.,I did swimming on 2018/01/14.\n12199,2018/01/14,I ate pasta for lunch.,I ate pasta for lunch.\n12200,2018/01/14,\"I had dinner with Andrew, Emily, Kayden. I ate steak.\",\"I had dinner with Andrew, Emily, Kayden. I ate steak.\"\n12201,2018/01/14,\"I talked to Nora, Piper, Claire for 7 minutes during lunch hours.\",\"I talked to Nora, Piper, Claire for 7 minutes during lunch hours.\"\n12202,2018/01/14,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n12203,2018/01/14,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n12204,2018/01/15,I did biking on 2018/01/15.,I did biking on 2018/01/15.\n12205,2018/01/15,I prepare steak for lunch.,I prepare steak for lunch.\n12206,2018/01/15,I spent 52 minutes watching a movie on TV today.,I spent 52 minutes watching a movie on TV today.\n12207,2018/01/16,\"I bought some blackberries, mangos, apricots, tea, chocolate milk, soda, mango juice, conditioner, toilet paper, shampoo from the grocery store. I saw Andrew at the grocery store.\",\"I bought some blackberries, mangos, apricots, tea, chocolate milk, soda, mango juice, conditioner, toilet paper, shampoo from the grocery store. I saw Andrew at the grocery store.\"\n12208,2018/01/16,\"I had pasta for dinner with Andrew, Carter, Kayden, Emily\",\"I had pasta for dinner with Andrew, Carter, Kayden, Emily\"\n12209,2018/01/16,\"I talked to Nevaeh, Claire, Nora for 17 minutes in the early afternoon.\",\"I talked to Nevaeh, Claire, Nora for 17 minutes in the early afternoon.\"\n12210,2018/01/16,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n12211,2018/01/17,\"I had breakfast with Benjamin, Willow, Jackson. I ate pancakes.\",\"I had breakfast with Benjamin, Willow, Jackson. I ate pancakes.\"\n12212,2018/01/17,I prepare pasta for dinner.,I prepare pasta for dinner.\n12213,2018/01/17,\"I spent 33 talking to Eva, Piper on various topics late in the evening.\",\"I spent 33 talking to Eva, Piper on various topics late in the evening.\"\n12214,2018/01/17,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n12215,2018/01/18,I went on a date with Marzieh on 2018/01/18 at a restaurant,I went on a date with Marzieh on 2018/01/18 at a restaurant\n12216,2018/01/18,I did biking on 2018/01/18.,I did biking on 2018/01/18.\n12217,2018/01/18,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n12218,2018/01/18,\"I spent 47 talking to Eva, Piper, Nora, Olivia on various topics in the early evening.\",\"I spent 47 talking to Eva, Piper, Nora, Olivia on various topics in the early evening.\"\n12219,2018/01/18,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n12220,2018/01/18,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n12221,2018/01/19,I did weight lifting on 2018/01/19.,I did weight lifting on 2018/01/19.\n12222,2018/01/19,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12223,2018/01/19,I talked to Piper for 30 minutes in the morning.,I talked to Piper for 30 minutes in the morning.\n12224,2018/01/20,I prepare a burger for lunch.,I prepare a burger for lunch.\n12225,2018/01/20,I prepare tacos for dinner.,I prepare tacos for dinner.\n12226,2018/01/20,\"I spent 7 talking to Claire, Nora, Olivia on various topics in the early afternoon.\",\"I spent 7 talking to Claire, Nora, Olivia on various topics in the early afternoon.\"\n12227,2018/01/20,I watched news for 36 minutes on TV today.,I watched news for 36 minutes on TV today.\n12228,2018/01/21,\"I bought some guava, clementines, pears, sports drinks, soda, toothpaste, body lotion, conditioner, paper towel online.\",\"I bought some guava, clementines, pears, sports drinks, soda, toothpaste, body lotion, conditioner, paper towel online.\"\n12229,2018/01/21,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n12230,2018/01/21,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n12231,2018/01/21,\"I spent 40 talking to Layla, Eva, Nora on various topics during lunch hours.\",\"I spent 40 talking to Layla, Eva, Nora on various topics during lunch hours.\"\n12232,2018/01/21,\"I spent 13 talking to Piper, Claire, Hazel on various topics during lunch hours.\",\"I spent 13 talking to Piper, Claire, Hazel on various topics during lunch hours.\"\n12233,2018/01/21,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n12234,2018/01/22,I did weight lifting on 2018/01/22.,I did weight lifting on 2018/01/22.\n12235,2018/01/22,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n12236,2018/01/23,I did hiking on 2018/01/23.,I did hiking on 2018/01/23.\n12237,2018/01/23,\"I had breakfast with Lydia, Olivia, Claire, Rylee, Layla, Eva, Nevaeh, Piper. I ate toast and cheese.\",\"I had breakfast with Lydia, Olivia, Claire, Rylee, Layla, Eva, Nevaeh, Piper. I ate toast and cheese.\"\n12238,2018/01/23,I had lunch with Kayden. I ate tacos.,I had lunch with Kayden. I ate tacos.\n12239,2018/01/23,\"I talked to Lydia, Layla, Claire for 39 minutes in the late afternoon.\",\"I talked to Lydia, Layla, Claire for 39 minutes in the late afternoon.\"\n12240,2018/01/23,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n12241,2018/01/24,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n12242,2018/01/24,\"I had lunch with Carter, Andrew, Kayden, Emily. I ate pasta.\",\"I had lunch with Carter, Andrew, Kayden, Emily. I ate pasta.\"\n12243,2018/01/24,I spent 53 talking to Olivia on various topics during lunch hours.,I spent 53 talking to Olivia on various topics during lunch hours.\n12244,2018/01/24,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n12245,2018/01/25,I went on a date with Ruby on 2018/01/25 at a coffee Shop,I went on a date with Ruby on 2018/01/25 at a coffee Shop\n12246,2018/01/25,\"I had breakfast with Nora, Hazel, Piper, Rylee, Claire, Piper, Olivia. I ate eggs, sausages, and bread.\",\"I had breakfast with Nora, Hazel, Piper, Rylee, Claire, Piper, Olivia. I ate eggs, sausages, and bread.\"\n12247,2018/01/25,\"I had lunch with Claire, Nora. I ate fish and chips.\",\"I had lunch with Claire, Nora. I ate fish and chips.\"\n12248,2018/01/25,\"I had a burger for dinner with Claire, Nevaeh, Nora, Layla, Piper, Rylee, Piper, Olivia, Eva\",\"I had a burger for dinner with Claire, Nevaeh, Nora, Layla, Piper, Rylee, Piper, Olivia, Eva\"\n12249,2018/01/25,\"I talked to Kinsley, Nora, Lydia for 16 minutes in the early evening.\",\"I talked to Kinsley, Nora, Lydia for 16 minutes in the early evening.\"\n12250,2018/01/25,\"I spent 16 talking to Eva, Lydia, Claire on various topics in the early afternoon.\",\"I spent 16 talking to Eva, Lydia, Claire on various topics in the early afternoon.\"\n12251,2018/01/26,\"I bought some nectarines, guava juice, milk, mineral water, sports drinks, conditioner, toothpaste, mouth wash online.\",\"I bought some nectarines, guava juice, milk, mineral water, sports drinks, conditioner, toothpaste, mouth wash online.\"\n12252,2018/01/26,I did running on 2018/01/26.,I did running on 2018/01/26.\n12253,2018/01/26,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n12254,2018/01/26,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n12255,2018/01/26,\"I had dinner with Andrew, Emily. I ate a burger.\",\"I had dinner with Andrew, Emily. I ate a burger.\"\n12256,2018/01/26,\"I spent 28 talking to Nora, Lydia on various topics in the early afternoon.\",\"I spent 28 talking to Nora, Lydia on various topics in the early afternoon.\"\n12257,2018/01/27,I did HIIT on 2018/01/27.,I did HIIT on 2018/01/27.\n12258,2018/01/27,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12259,2018/01/27,\"I had dinner with Benjamin, Avery, Willow, Jackson. I ate fish and chips.\",\"I had dinner with Benjamin, Avery, Willow, Jackson. I ate fish and chips.\"\n12260,2018/01/27,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n12261,2018/01/28,I did HIIT on 2018/01/28.,I did HIIT on 2018/01/28.\n12262,2018/01/28,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n12263,2018/01/28,I watched a movie for 42 minutes on TV today.,I watched a movie for 42 minutes on TV today.\n12264,2018/01/29,\"I went grocery shopping with Carter, Emily, Andrew. I bought some guava, peaches, blackberries, mangos, chocolate milk, apple juice, orange juice, and paper towel, facial wash, shaving cream\",\"I went grocery shopping with Carter, Emily, Andrew. I bought some guava, peaches, blackberries, mangos, chocolate milk, apple juice, orange juice, and paper towel, facial wash, shaving cream\"\n12265,2018/01/29,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n12266,2018/01/29,I prepare steak for lunch.,I prepare steak for lunch.\n12267,2018/01/29,\"I spent 45 talking to Nevaeh, Kinsley, Eva, Nora on various topics late in the evening.\",\"I spent 45 talking to Nevaeh, Kinsley, Eva, Nora on various topics late in the evening.\"\n12268,2018/01/29,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n12269,2018/01/30,I did hiking on 2018/01/30.,I did hiking on 2018/01/30.\n12270,2018/01/30,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n12271,2018/01/31,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12272,2018/01/31,\"I spent 14 talking to Layla, Nevaeh, Avery on various topics in the early afternoon.\",\"I spent 14 talking to Layla, Nevaeh, Avery on various topics in the early afternoon.\"\n12273,2018/01/31,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n12274,2018/02/01,I did biking on 2018/02/01.,I did biking on 2018/02/01.\n12275,2018/02/01,\"I had pasta for dinner with Emily, Andrew, Kayden\",\"I had pasta for dinner with Emily, Andrew, Kayden\"\n12276,2018/02/01,\"I talked to Claire, Piper, Nevaeh, Piper for 38 minutes during lunch hours.\",\"I talked to Claire, Piper, Nevaeh, Piper for 38 minutes during lunch hours.\"\n12277,2018/02/01,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n12278,2018/02/02,I did biking on 2018/02/02.,I did biking on 2018/02/02.\n12279,2018/02/02,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n12280,2018/02/02,\"I spent 48 talking to Hazel, Rylee on various topics in the late afternoon.\",\"I spent 48 talking to Hazel, Rylee on various topics in the late afternoon.\"\n12281,2018/02/02,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n12282,2018/02/03,I did hiking on 2018/02/03.,I did hiking on 2018/02/03.\n12283,2018/02/03,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n12284,2018/02/04,\"I had cereals for breakfast with Eva, Layla, Kinsley, Claire, Nevaeh, Lydia, Piper, Hazel, Rylee, Avery, Olivia, Nora\",\"I had cereals for breakfast with Eva, Layla, Kinsley, Claire, Nevaeh, Lydia, Piper, Hazel, Rylee, Avery, Olivia, Nora\"\n12285,2018/02/04,I prepare sushi for lunch.,I prepare sushi for lunch.\n12286,2018/02/04,\"I had dinner with Kayden, Emily, Andrew, Carter. I ate chinese food.\",\"I had dinner with Kayden, Emily, Andrew, Carter. I ate chinese food.\"\n12287,2018/02/05,\"I bought some oranges, nectarines, apricots, mango juice, mineral water, tea, pineapple juice, conditioner, toothpaste, shampoo, facial wash from the grocery store. I saw Benjamin, Jackson at the grocery store.\",\"I bought some oranges, nectarines, apricots, mango juice, mineral water, tea, pineapple juice, conditioner, toothpaste, shampoo, facial wash from the grocery store. I saw Benjamin, Jackson at the grocery store.\"\n12288,2018/02/05,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n12289,2018/02/05,\"I spent 46 talking to Layla, Rylee, Olivia, Eva on various topics in the early afternoon.\",\"I spent 46 talking to Layla, Rylee, Olivia, Eva on various topics in the early afternoon.\"\n12290,2018/02/05,I spent 47 minutes watching a movie on TV today.,I spent 47 minutes watching a movie on TV today.\n12291,2018/02/06,I had breakfast with Carter. I ate cereals.,I had breakfast with Carter. I ate cereals.\n12292,2018/02/06,I ate steak for lunch.,I ate steak for lunch.\n12293,2018/02/06,\"I had dinner with Avery, Benjamin, Willow. I ate tacos.\",\"I had dinner with Avery, Benjamin, Willow. I ate tacos.\"\n12294,2018/02/06,\"I spent 30 talking to Olivia, Piper on various topics in the morning.\",\"I spent 30 talking to Olivia, Piper on various topics in the morning.\"\n12295,2018/02/06,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n12296,2018/02/06,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n12297,2018/02/07,\"I was baking chocolate-chip mug brownie, carrot cake on 2018/02/07 with Emily, Andrew, Carter at my place\",\"I was baking chocolate-chip mug brownie, carrot cake on 2018/02/07 with Emily, Andrew, Carter at my place\"\n12298,2018/02/07,\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate cereals.\",\"I had breakfast with Andrew, Carter, Kayden, Emily. I ate cereals.\"\n12299,2018/02/07,I watched a tv series for 9 minutes on TV today.,I watched a tv series for 9 minutes on TV today.\n12300,2018/02/08,I had breakfast with Andrew. I ate cereals.,I had breakfast with Andrew. I ate cereals.\n12301,2018/02/08,\"I talked to Rylee, Piper, Eva for 5 minutes in the morning.\",\"I talked to Rylee, Piper, Eva for 5 minutes in the morning.\"\n12302,2018/02/08,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n12303,2018/02/09,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n12304,2018/02/09,I prepare a burger for dinner.,I prepare a burger for dinner.\n12305,2018/02/09,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n12306,2018/02/10,I talked to Nora for 5 minutes in the morning.,I talked to Nora for 5 minutes in the morning.\n12307,2018/02/10,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n12308,2018/02/10,I spent 41 minutes watching a movie on TV today.,I spent 41 minutes watching a movie on TV today.\n12309,2018/02/11,I went on a date with John on 2018/02/11 at a park,I went on a date with John on 2018/02/11 at a park\n12310,2018/02/11,\"I went grocery shopping. I bought some blueberries, guava, apricots, raspberries, guava juice, mineral water, sports drinks, coffee, and mouth wash, body lotion\",\"I went grocery shopping. I bought some blueberries, guava, apricots, raspberries, guava juice, mineral water, sports drinks, coffee, and mouth wash, body lotion\"\n12311,2018/02/11,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n12312,2018/02/12,I did hiking on 2018/02/12.,I did hiking on 2018/02/12.\n12313,2018/02/12,\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate toast and cheese.\",\"I had breakfast with Andrew, Emily, Kayden, Carter. I ate toast and cheese.\"\n12314,2018/02/12,I prepare pasta for dinner.,I prepare pasta for dinner.\n12315,2018/02/12,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n12316,2018/02/13,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n12317,2018/02/13,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n12318,2018/02/13,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n12319,2018/02/15,\"I went grocery shopping. I bought some apples, raspberries, chocolate milk, and body lotion\",\"I went grocery shopping. I bought some apples, raspberries, chocolate milk, and body lotion\"\n12320,2018/02/15,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n12321,2018/02/15,I ate a burger for lunch.,I ate a burger for lunch.\n12322,2018/02/15,\"I spent 22 talking to Hazel, Nevaeh on various topics in the morning.\",\"I spent 22 talking to Hazel, Nevaeh on various topics in the morning.\"\n12323,2018/02/15,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n12324,2018/02/15,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n12325,2018/02/16,\"I had breakfast with Nevaeh, Piper, Avery, Kinsley, Claire, Rylee, Piper. I ate oatmeal.\",\"I had breakfast with Nevaeh, Piper, Avery, Kinsley, Claire, Rylee, Piper. I ate oatmeal.\"\n12326,2018/02/16,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n12327,2018/02/16,I spent 55 talking to Nora on various topics late in the evening.,I spent 55 talking to Nora on various topics late in the evening.\n12328,2018/02/16,\"I spent 16 talking to Piper, Avery, Olivia on various topics in the late afternoon.\",\"I spent 16 talking to Piper, Avery, Olivia on various topics in the late afternoon.\"\n12329,2018/02/16,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n12330,2018/02/16,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n12331,2018/02/17,I did HIIT on 2018/02/17.,I did HIIT on 2018/02/17.\n12332,2018/02/17,I ate steak for lunch.,I ate steak for lunch.\n12333,2018/02/17,\"I had fish and chips for dinner with Hazel, Nevaeh, Rylee, Piper, Nora\",\"I had fish and chips for dinner with Hazel, Nevaeh, Rylee, Piper, Nora\"\n12334,2018/02/17,I spent 49 talking to Nevaeh on various topics late in the evening.,I spent 49 talking to Nevaeh on various topics late in the evening.\n12335,2018/02/18,\"On 2018/02/18, I took Jordan on a date to a coffee Shop\",\"On 2018/02/18, I took Jordan on a date to a coffee Shop\"\n12336,2018/02/18,I ate tacos for dinner.,I ate tacos for dinner.\n12337,2018/02/18,\"I talked to Olivia, Piper for 23 minutes in the early evening.\",\"I talked to Olivia, Piper for 23 minutes in the early evening.\"\n12338,2018/02/18,\"I talked to Claire, Lydia, Kinsley for 17 minutes in the early afternoon.\",\"I talked to Claire, Lydia, Kinsley for 17 minutes in the early afternoon.\"\n12339,2018/02/18,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n12340,2018/02/18,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n12341,2018/02/19,\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\",\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\"\n12342,2018/02/19,\"I spent 41 talking to Eva, Avery, Hazel, Layla on various topics in the late afternoon.\",\"I spent 41 talking to Eva, Avery, Hazel, Layla on various topics in the late afternoon.\"\n12343,2018/02/19,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n12344,2018/02/20,\"I spent time learning a language on 2018/02/20 with Carter, Emily.\",\"I spent time learning a language on 2018/02/20 with Carter, Emily.\"\n12345,2018/02/20,I did biking on 2018/02/20.,I did biking on 2018/02/20.\n12346,2018/02/20,I had oatmeal for breakfast with Kayden,I had oatmeal for breakfast with Kayden\n12347,2018/02/20,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n12348,2018/02/20,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n12349,2018/02/20,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n12350,2018/02/21,\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate pancakes.\",\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate pancakes.\"\n12351,2018/02/21,I had lunch. I ate steak.,I had lunch. I ate steak.\n12352,2018/02/21,\"I had tacos for dinner with Nevaeh, Avery, Nora, Olivia, Kinsley, Claire, Eva, Hazel, Piper, Lydia\",\"I had tacos for dinner with Nevaeh, Avery, Nora, Olivia, Kinsley, Claire, Eva, Hazel, Piper, Lydia\"\n12353,2018/02/21,\"I talked to Piper, Layla, Kinsley, Claire for 14 minutes in the early evening.\",\"I talked to Piper, Layla, Kinsley, Claire for 14 minutes in the early evening.\"\n12354,2018/02/21,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n12355,2018/02/22,I did weight lifting on 2018/02/22.,I did weight lifting on 2018/02/22.\n12356,2018/02/22,I ate sandwich for lunch.,I ate sandwich for lunch.\n12357,2018/02/22,I spent 52 talking to Layla on various topics late in the evening.,I spent 52 talking to Layla on various topics late in the evening.\n12358,2018/02/22,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n12359,2018/02/23,\"I bought some apricots, bananas, pineapple juice, soda, toothpaste online.\",\"I bought some apricots, bananas, pineapple juice, soda, toothpaste online.\"\n12360,2018/02/23,\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate toast and cheese.\",\"I had breakfast with Emily, Andrew, Kayden, Carter. I ate toast and cheese.\"\n12361,2018/02/23,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n12362,2018/02/24,I did hiking on 2018/02/24.,I did hiking on 2018/02/24.\n12363,2018/02/24,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12364,2018/02/24,\"I had lunch with Benjamin, Avery. I ate pasta.\",\"I had lunch with Benjamin, Avery. I ate pasta.\"\n12365,2018/02/24,I had dinner. I ate steak.,I had dinner. I ate steak.\n12366,2018/02/24,\"I spent 47 talking to Claire, Lydia on various topics late in the evening.\",\"I spent 47 talking to Claire, Lydia on various topics late in the evening.\"\n12367,2018/02/24,\"I talked to Nora, Nevaeh, Avery for 30 minutes during lunch hours.\",\"I talked to Nora, Nevaeh, Avery for 30 minutes during lunch hours.\"\n12368,2018/02/24,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n12369,2018/02/25,I did hiking on 2018/02/25.,I did hiking on 2018/02/25.\n12370,2018/02/25,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n12371,2018/02/25,I had dinner with Kayden. I ate steak.,I had dinner with Kayden. I ate steak.\n12372,2018/02/25,I spent 41 talking to Kinsley on various topics in the late afternoon.,I spent 41 talking to Kinsley on various topics in the late afternoon.\n12373,2018/02/25,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n12374,2018/02/26,I did running on 2018/02/26.,I did running on 2018/02/26.\n12375,2018/02/26,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12376,2018/02/26,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n12377,2018/02/26,\"I talked to Nevaeh, Kinsley, Lydia, Piper for 18 minutes during lunch hours.\",\"I talked to Nevaeh, Kinsley, Lydia, Piper for 18 minutes during lunch hours.\"\n12378,2018/02/26,\"I spent 23 talking to Layla, Claire, Lydia, Eva on various topics in the morning.\",\"I spent 23 talking to Layla, Claire, Lydia, Eva on various topics in the morning.\"\n12379,2018/02/26,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n12380,2018/02/27,\"On 2018/02/27 Avery and I went to Shanghai, China together for 13 days \",\"On 2018/02/27 Avery and I went to Shanghai, China together for 13 days \"\n12381,2018/02/27,\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate oatmeal.\",\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate oatmeal.\"\n12382,2018/02/27,I ate sandwich for lunch.,I ate sandwich for lunch.\n12383,2018/02/27,\"I talked to Layla, Nevaeh, Lydia, Kinsley for 31 minutes during lunch hours.\",\"I talked to Layla, Nevaeh, Lydia, Kinsley for 31 minutes during lunch hours.\"\n12384,2018/02/27,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n12385,2018/02/27,I spent 50 minutes watching a movie on TV today.,I spent 50 minutes watching a movie on TV today.\n12386,2018/02/28,\"I ate Chinese food at Yuyuan Lu junction with Avery on  2018/02/28 when I was in Shanghai, China.\",\"I ate Chinese food at Yuyuan Lu junction with Avery on  2018/02/28 when I was in Shanghai, China.\"\n12387,2018/02/28,\"I went grocery shopping with Kayden, Emily, Andrew, Carter. I bought some blackberries, apple juice, coffee, mineral water, mango juice, and facial wash, conditioner, toilet paper, body lotion\",\"I went grocery shopping with Kayden, Emily, Andrew, Carter. I bought some blackberries, apple juice, coffee, mineral water, mango juice, and facial wash, conditioner, toilet paper, body lotion\"\n12388,2018/02/28,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n12389,2018/03/01,\"I ate Italian food at Wanhangdu Lu junction with Avery on  2018/03/01 when I was in Shanghai, China.\",\"I ate Italian food at Wanhangdu Lu junction with Avery on  2018/03/01 when I was in Shanghai, China.\"\n12390,2018/03/01,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n12391,2018/03/01,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n12392,2018/03/01,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n12393,2018/03/02,\"On 2018/03/02, I took Charlotte on a date to a restaurant\",\"On 2018/03/02, I took Charlotte on a date to a restaurant\"\n12394,2018/03/02,I ate sandwich for lunch.,I ate sandwich for lunch.\n12395,2018/03/02,I had steak for dinner with Emily,I had steak for dinner with Emily\n12396,2018/03/02,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n12397,2018/03/03,\"I ate Japanese food at Fangbang Xi Lu with Avery on  2018/03/03 when I was in Shanghai, China.\",\"I ate Japanese food at Fangbang Xi Lu with Avery on  2018/03/03 when I was in Shanghai, China.\"\n12398,2018/03/03,I ate a burger for dinner.,I ate a burger for dinner.\n12399,2018/03/03,I watched a documentary for 46 minutes on TV today.,I watched a documentary for 46 minutes on TV today.\n12400,2018/03/04,\"I ate Italian food at Wanhangdu Lu junction with Avery on  2018/03/04 when I was in Shanghai, China.\",\"I ate Italian food at Wanhangdu Lu junction with Avery on  2018/03/04 when I was in Shanghai, China.\"\n12401,2018/03/04,\"I had breakfast with Jackson, Benjamin, Avery. I ate pancakes.\",\"I had breakfast with Jackson, Benjamin, Avery. I ate pancakes.\"\n12402,2018/03/04,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n12403,2018/03/04,\"I spent 17 talking to Hazel, Olivia on various topics in the early afternoon.\",\"I spent 17 talking to Hazel, Olivia on various topics in the early afternoon.\"\n12404,2018/03/04,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n12405,2018/03/04,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n12406,2018/03/05,\"I ate street food at South Bund Fabric Market with Avery on  2018/03/05 when I was in Shanghai, China.\",\"I ate street food at South Bund Fabric Market with Avery on  2018/03/05 when I was in Shanghai, China.\"\n12407,2018/03/05,I had toast and cheese for breakfast with Benjamin,I had toast and cheese for breakfast with Benjamin\n12408,2018/03/05,\"I had tacos for dinner with Jackson, Willow, Benjamin\",\"I had tacos for dinner with Jackson, Willow, Benjamin\"\n12409,2018/03/05,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n12410,2018/03/05,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n12411,2018/03/06,I spent some time working out on 2018/03/06.,I spent some time working out on 2018/03/06.\n12412,2018/03/06,\"I bought some blueberries, pears, mineral water, milk, toothpaste, mouthwash, shaving cream online.\",\"I bought some blueberries, pears, mineral water, milk, toothpaste, mouthwash, shaving cream online.\"\n12413,2018/03/06,\"I had breakfast with Avery, Piper, Rylee, Olivia, Lydia, Nora, Hazel, Nevaeh. I ate cereals.\",\"I had breakfast with Avery, Piper, Rylee, Olivia, Lydia, Nora, Hazel, Nevaeh. I ate cereals.\"\n12414,2018/03/07,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12415,2018/03/07,\"I spent 16 talking to Piper, Eva on various topics in the morning.\",\"I spent 16 talking to Piper, Eva on various topics in the morning.\"\n12416,2018/03/08,\"I ate local food at South Bund Fabric Market with Avery on  2018/03/08 when I was in Shanghai, China.\",\"I ate local food at South Bund Fabric Market with Avery on  2018/03/08 when I was in Shanghai, China.\"\n12417,2018/03/08,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12418,2018/03/08,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n12419,2018/03/09,\"I ate local food at Fangbang Xi Lu with Avery on  2018/03/09 when I was in Shanghai, China.\",\"I ate local food at Fangbang Xi Lu with Avery on  2018/03/09 when I was in Shanghai, China.\"\n12420,2018/03/09,I went on a date with Christian on 2018/03/09 at a restaurant,I went on a date with Christian on 2018/03/09 at a restaurant\n12421,2018/03/09,\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate cereals.\",\"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate cereals.\"\n12422,2018/03/09,\"I had sandwich for lunch with Nora, Kinsley, Piper, Hazel, Avery, Layla\",\"I had sandwich for lunch with Nora, Kinsley, Piper, Hazel, Avery, Layla\"\n12423,2018/03/09,\"I had pasta for dinner with Carter, Kayden\",\"I had pasta for dinner with Carter, Kayden\"\n12424,2018/03/09,\"I talked to Piper, Claire, Piper, Rylee for 22 minutes in the morning.\",\"I talked to Piper, Claire, Piper, Rylee for 22 minutes in the morning.\"\n12425,2018/03/09,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n12426,2018/03/10,\"I ate Japanese food at Fangbang Xi Lu with Avery on  2018/03/10 when I was in Shanghai, China.\",\"I ate Japanese food at Fangbang Xi Lu with Avery on  2018/03/10 when I was in Shanghai, China.\"\n12427,2018/03/10,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n12428,2018/03/10,\"I had sushi for dinner with Nevaeh, Avery\",\"I had sushi for dinner with Nevaeh, Avery\"\n12429,2018/03/10,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n12430,2018/03/10,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n12431,2018/03/11,\"I ate Indian food at Fangbang Xi Lu with Avery on  2018/03/11 when I was in Shanghai, China.\",\"I ate Indian food at Fangbang Xi Lu with Avery on  2018/03/11 when I was in Shanghai, China.\"\n12432,2018/03/11,\"I bought some clementines, mangos, peaches, orange juice, mineral water, apple juice, milk, toothbrush from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\",\"I bought some clementines, mangos, peaches, orange juice, mineral water, apple juice, milk, toothbrush from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\"\n12433,2018/03/11,\"I had breakfast with Piper, Nevaeh, Olivia, Kinsley, Eva, Lydia, Nora, Layla, Avery, Claire, Hazel, Rylee. I ate oatmeal.\",\"I had breakfast with Piper, Nevaeh, Olivia, Kinsley, Eva, Lydia, Nora, Layla, Avery, Claire, Hazel, Rylee. I ate oatmeal.\"\n12434,2018/03/12,\"I ate local food at South Bund Fabric Market with Avery on  2018/03/12 when I was in Shanghai, China.\",\"I ate local food at South Bund Fabric Market with Avery on  2018/03/12 when I was in Shanghai, China.\"\n12435,2018/03/12,I went on a date with Matthew on 2018/03/12 at a coffee Shop,I went on a date with Matthew on 2018/03/12 at a coffee Shop\n12436,2018/03/12,I prepare a burger for lunch.,I prepare a burger for lunch.\n12437,2018/03/12,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n12438,2018/03/12,I talked to Nevaeh for 28 minutes late in the evening.,I talked to Nevaeh for 28 minutes late in the evening.\n12439,2018/03/12,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n12440,2018/03/13,I did hiking on 2018/03/13.,I did hiking on 2018/03/13.\n12441,2018/03/13,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12442,2018/03/13,\"I had lunch with Andrew, Emily, Kayden. I ate chinese food.\",\"I had lunch with Andrew, Emily, Kayden. I ate chinese food.\"\n12443,2018/03/13,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n12444,2018/03/14,I did biking on 2018/03/14.,I did biking on 2018/03/14.\n12445,2018/03/14,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12446,2018/03/14,\"I had dinner with Carter, Emily, Andrew. I ate tacos.\",\"I had dinner with Carter, Emily, Andrew. I ate tacos.\"\n12447,2018/03/14,\"I spent 31 talking to Nora, Piper, Lydia on various topics in the morning.\",\"I spent 31 talking to Nora, Piper, Lydia on various topics in the morning.\"\n12448,2018/03/15,\"I bought some watermelons, pineapples, mangos, pineapple juice, mango juice, sports drinks, body lotion, conditioner, facial wash, paper towel from the grocery store. I saw Kayden, Carter at the grocery store.\",\"I bought some watermelons, pineapples, mangos, pineapple juice, mango juice, sports drinks, body lotion, conditioner, facial wash, paper towel from the grocery store. I saw Kayden, Carter at the grocery store.\"\n12449,2018/03/15,I did biking on 2018/03/15.,I did biking on 2018/03/15.\n12450,2018/03/15,I ate pasta for lunch.,I ate pasta for lunch.\n12451,2018/03/15,\"I had chinese food for dinner with Layla, Eva, Kinsley, Hazel, Nevaeh, Rylee\",\"I had chinese food for dinner with Layla, Eva, Kinsley, Hazel, Nevaeh, Rylee\"\n12452,2018/03/15,\"I spent 40 talking to Piper, Avery, Claire on various topics in the early evening.\",\"I spent 40 talking to Piper, Avery, Claire on various topics in the early evening.\"\n12453,2018/03/15,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n12454,2018/03/16,\"On 2018/03/16, I took Athena on a date to a restaurant\",\"On 2018/03/16, I took Athena on a date to a restaurant\"\n12455,2018/03/16,I prepare pasta for lunch.,I prepare pasta for lunch.\n12456,2018/03/16,\"I spent 55 talking to Rylee, Nora, Claire, Eva on various topics in the morning.\",\"I spent 55 talking to Rylee, Nora, Claire, Eva on various topics in the morning.\"\n12457,2018/03/16,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n12458,2018/03/17,\"I had toast and cheese for breakfast with Kayden, Carter\",\"I had toast and cheese for breakfast with Kayden, Carter\"\n12459,2018/03/17,I ate sandwich for dinner.,I ate sandwich for dinner.\n12460,2018/03/17,\"I talked to Hazel, Nora for 16 minutes in the morning.\",\"I talked to Hazel, Nora for 16 minutes in the morning.\"\n12461,2018/03/18,I did HIIT on 2018/03/18.,I did HIIT on 2018/03/18.\n12462,2018/03/18,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n12463,2018/03/18,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n12464,2018/03/18,\"I spent 38 talking to Layla, Eva, Rylee on various topics in the early evening.\",\"I spent 38 talking to Layla, Eva, Rylee on various topics in the early evening.\"\n12465,2018/03/18,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n12466,2018/03/19,I did weight lifting on 2018/03/19.,I did weight lifting on 2018/03/19.\n12467,2018/03/19,\"I had breakfast with Kinsley, Piper, Rylee, Lydia, Hazel, Layla, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Kinsley, Piper, Rylee, Lydia, Hazel, Layla, Avery. I ate peanut-butter-jam.\"\n12468,2018/03/19,\"I had lunch with Claire, Nevaeh, Avery, Hazel, Kinsley, Rylee, Nora, Olivia, Layla. I ate fish and chips.\",\"I had lunch with Claire, Nevaeh, Avery, Hazel, Kinsley, Rylee, Nora, Olivia, Layla. I ate fish and chips.\"\n12469,2018/03/19,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n12470,2018/03/20,I did weight lifting on 2018/03/20.,I did weight lifting on 2018/03/20.\n12471,2018/03/20,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n12472,2018/03/20,\"I had tacos for lunch with Kayden, Emily\",\"I had tacos for lunch with Kayden, Emily\"\n12473,2018/03/20,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n12474,2018/03/20,\"I spent 32 talking to Layla, Nevaeh, Hazel on various topics in the late afternoon.\",\"I spent 32 talking to Layla, Nevaeh, Hazel on various topics in the late afternoon.\"\n12475,2018/03/21,\"On 2018/03/21, I took Cameron on a date to a park\",\"On 2018/03/21, I took Cameron on a date to a park\"\n12476,2018/03/21,I really enjoyed learning a language on 2018/03/21,I really enjoyed learning a language on 2018/03/21\n12477,2018/03/21,\"I bought some blackberries, apples, chocolate milk, mouth wash, body lotion, mouthwash online.\",\"I bought some blackberries, apples, chocolate milk, mouth wash, body lotion, mouthwash online.\"\n12478,2018/03/21,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12479,2018/03/21,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n12480,2018/03/21,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n12481,2018/03/22,I had sushi for lunch with Kayden,I had sushi for lunch with Kayden\n12482,2018/03/22,\"I spent 12 talking to Layla, Avery, Eva on various topics in the early evening.\",\"I spent 12 talking to Layla, Avery, Eva on various topics in the early evening.\"\n12483,2018/03/22,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n12484,2018/03/23,I did biking on 2018/03/23.,I did biking on 2018/03/23.\n12485,2018/03/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n12486,2018/03/23,I ate sandwich for lunch.,I ate sandwich for lunch.\n12487,2018/03/23,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n12488,2018/03/24,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n12489,2018/03/24,\"I had steak for dinner with Carter, Emily, Andrew, Kayden\",\"I had steak for dinner with Carter, Emily, Andrew, Kayden\"\n12490,2018/03/24,\"I spent 12 talking to Rylee, Claire on various topics in the morning.\",\"I spent 12 talking to Rylee, Claire on various topics in the morning.\"\n12491,2018/03/24,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n12492,2018/03/25,I did running on 2018/03/25.,I did running on 2018/03/25.\n12493,2018/03/25,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n12494,2018/03/25,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n12495,2018/03/25,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n12496,2018/03/26,I went on a date with Eleanor on 2018/03/26 at a restaurant,I went on a date with Eleanor on 2018/03/26 at a restaurant\n12497,2018/03/26,I prepare sushi for dinner.,I prepare sushi for dinner.\n12498,2018/03/26,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n12499,2018/03/26,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n12500,2018/03/27,I did hiking on 2018/03/27.,I did hiking on 2018/03/27.\n12501,2018/03/27,I ate cereals for breakfast.,I ate cereals for breakfast.\n12502,2018/03/27,I ate indian food for lunch.,I ate indian food for lunch.\n12503,2018/03/27,I spent 48 minutes watching a documentary on TV today.,I spent 48 minutes watching a documentary on TV today.\n12504,2018/03/28,I did running on 2018/03/28.,I did running on 2018/03/28.\n12505,2018/03/28,I ate steak for dinner.,I ate steak for dinner.\n12506,2018/03/28,\"I spent 39 talking to Lydia, Piper on various topics late in the evening.\",\"I spent 39 talking to Lydia, Piper on various topics late in the evening.\"\n12507,2018/03/28,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n12508,2018/03/29,I did biking on 2018/03/29.,I did biking on 2018/03/29.\n12509,2018/03/29,\"I had cereals for breakfast with Jackson, Willow, Benjamin\",\"I had cereals for breakfast with Jackson, Willow, Benjamin\"\n12510,2018/03/29,I prepare indian food for lunch.,I prepare indian food for lunch.\n12511,2018/03/29,I spent 38 minutes watching a movie on TV today.,I spent 38 minutes watching a movie on TV today.\n12512,2018/03/30,I did weight lifting on 2018/03/30.,I did weight lifting on 2018/03/30.\n12513,2018/03/30,\"I spent 45 talking to Lydia, Nevaeh, Avery, Layla on various topics in the late afternoon.\",\"I spent 45 talking to Lydia, Nevaeh, Avery, Layla on various topics in the late afternoon.\"\n12514,2018/03/31,\"I went grocery shopping with Carter, Emily. I bought some blackberries, bananas, mangos, apples, apple juice, and paper towel, toilet paper, mouth wash, conditioner\",\"I went grocery shopping with Carter, Emily. I bought some blackberries, bananas, mangos, apples, apple juice, and paper towel, toilet paper, mouth wash, conditioner\"\n12515,2018/03/31,I did running on 2018/03/31.,I did running on 2018/03/31.\n12516,2018/03/31,\"I had lunch with Avery, Hazel, Lydia, Kinsley, Claire, Piper, Rylee, Olivia, Nevaeh, Layla, Nora, Eva. I ate sandwich.\",\"I had lunch with Avery, Hazel, Lydia, Kinsley, Claire, Piper, Rylee, Olivia, Nevaeh, Layla, Nora, Eva. I ate sandwich.\"\n12517,2018/03/31,I had dinner. I ate steak.,I had dinner. I ate steak.\n12518,2018/04/01,I did biking on 2018/04/01.,I did biking on 2018/04/01.\n12519,2018/04/01,I had tacos for dinner with Kayden,I had tacos for dinner with Kayden\n12520,2018/04/01,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n12521,2018/04/02,\"I bought some mangos, mineral water, chocolate milk, tea, milk, body lotion, toilet paper, facial wash, toothpaste online.\",\"I bought some mangos, mineral water, chocolate milk, tea, milk, body lotion, toilet paper, facial wash, toothpaste online.\"\n12522,2018/04/02,I did running on 2018/04/02.,I did running on 2018/04/02.\n12523,2018/04/02,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n12524,2018/04/02,I ate sushi for dinner.,I ate sushi for dinner.\n12525,2018/04/02,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n12526,2018/04/02,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n12527,2018/04/03,I did running on 2018/04/03.,I did running on 2018/04/03.\n12528,2018/04/03,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n12529,2018/04/03,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n12530,2018/04/03,I ate chinese food for dinner.,I ate chinese food for dinner.\n12531,2018/04/03,\"I spent 6 talking to Avery, Piper, Piper, Eva on various topics in the morning.\",\"I spent 6 talking to Avery, Piper, Piper, Eva on various topics in the morning.\"\n12532,2018/04/03,I spent 29 minutes watching a tv series on TV today.,I spent 29 minutes watching a tv series on TV today.\n12533,2018/04/04,I did HIIT on 2018/04/04.,I did HIIT on 2018/04/04.\n12534,2018/04/04,\"I had peanut-butter-jam for breakfast with Lydia, Rylee, Nora, Olivia, Piper, Nevaeh, Kinsley, Avery, Layla, Claire\",\"I had peanut-butter-jam for breakfast with Lydia, Rylee, Nora, Olivia, Piper, Nevaeh, Kinsley, Avery, Layla, Claire\"\n12535,2018/04/04,I ate a burger for dinner.,I ate a burger for dinner.\n12536,2018/04/05,\"I spent time working out on 2018/04/05 with Lydia, Piper.\",\"I spent time working out on 2018/04/05 with Lydia, Piper.\"\n12537,2018/04/05,\"I went grocery shopping with Willow, Avery, Jackson. I bought some nectarines, blueberries, pears, cherres, sports drinks, and body lotion\",\"I went grocery shopping with Willow, Avery, Jackson. I bought some nectarines, blueberries, pears, cherres, sports drinks, and body lotion\"\n12538,2018/04/05,I did biking on 2018/04/05.,I did biking on 2018/04/05.\n12539,2018/04/05,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n12540,2018/04/06,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12541,2018/04/06,\"I spent 22 talking to Nora, Layla, Avery on various topics during lunch hours.\",\"I spent 22 talking to Nora, Layla, Avery on various topics during lunch hours.\"\n12542,2018/04/07,I had lunch with Avery. I ate tacos.,I had lunch with Avery. I ate tacos.\n12543,2018/04/07,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n12544,2018/04/08,I did weight lifting on 2018/04/08.,I did weight lifting on 2018/04/08.\n12545,2018/04/08,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n12546,2018/04/09,I did weight lifting on 2018/04/09.,I did weight lifting on 2018/04/09.\n12547,2018/04/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12548,2018/04/09,I ate a burger for dinner.,I ate a burger for dinner.\n12549,2018/04/09,\"I spent 15 talking to Rylee, Avery on various topics in the late afternoon.\",\"I spent 15 talking to Rylee, Avery on various topics in the late afternoon.\"\n12550,2018/04/10,I spent 52 talking to Rylee on various topics during lunch hours.,I spent 52 talking to Rylee on various topics during lunch hours.\n12551,2018/04/11,I had lunch with Willow. I ate sushi.,I had lunch with Willow. I ate sushi.\n12552,2018/04/11,\"I spent 29 talking to Avery, Hazel, Layla on various topics in the morning.\",\"I spent 29 talking to Avery, Hazel, Layla on various topics in the morning.\"\n12553,2018/04/11,I spent 25 minutes on a book today.,I spent 25 minutes on a book today.\n12554,2018/04/12,\"I went grocery shopping. I bought some mandarins, mango juice, tea, and body lotion\",\"I went grocery shopping. I bought some mandarins, mango juice, tea, and body lotion\"\n12555,2018/04/12,I did HIIT on 2018/04/12.,I did HIIT on 2018/04/12.\n12556,2018/04/12,\"I had breakfast with Claire, Nevaeh, Hazel, Olivia, Nora. I ate peanut-butter-jam.\",\"I had breakfast with Claire, Nevaeh, Hazel, Olivia, Nora. I ate peanut-butter-jam.\"\n12557,2018/04/12,\"I had pasta for lunch with Rylee, Olivia, Eva, Nevaeh, Layla, Piper, Lydia, Avery, Hazel, Kinsley, Claire\",\"I had pasta for lunch with Rylee, Olivia, Eva, Nevaeh, Layla, Piper, Lydia, Avery, Hazel, Kinsley, Claire\"\n12558,2018/04/12,I ate steak for dinner.,I ate steak for dinner.\n12559,2018/04/12,\"I talked to Eva, Piper for 42 minutes late in the evening.\",\"I talked to Eva, Piper for 42 minutes late in the evening.\"\n12560,2018/04/12,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n12561,2018/04/12,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n12562,2018/04/13,I did biking on 2018/04/13.,I did biking on 2018/04/13.\n12563,2018/04/13,\"I had pasta for lunch with Nora, Piper, Lydia, Claire, Eva, Kinsley, Layla, Olivia, Piper, Rylee, Avery, Nevaeh, Hazel\",\"I had pasta for lunch with Nora, Piper, Lydia, Claire, Eva, Kinsley, Layla, Olivia, Piper, Rylee, Avery, Nevaeh, Hazel\"\n12564,2018/04/13,\"I had sandwich for dinner with Eva, Nevaeh, Piper, Lydia, Layla, Olivia, Hazel, Rylee, Kinsley, Claire, Piper\",\"I had sandwich for dinner with Eva, Nevaeh, Piper, Lydia, Layla, Olivia, Hazel, Rylee, Kinsley, Claire, Piper\"\n12565,2018/04/13,\"I talked to Piper, Nevaeh, Lydia, Eva for 55 minutes in the morning.\",\"I talked to Piper, Nevaeh, Lydia, Eva for 55 minutes in the morning.\"\n12566,2018/04/14,I did HIIT on 2018/04/14.,I did HIIT on 2018/04/14.\n12567,2018/04/14,I ate cereals for breakfast.,I ate cereals for breakfast.\n12568,2018/04/14,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n12569,2018/04/14,\"I talked to Rylee, Avery for 53 minutes during lunch hours.\",\"I talked to Rylee, Avery for 53 minutes during lunch hours.\"\n12570,2018/04/14,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n12571,2018/04/15,\"I had cereals for breakfast with Nora, Kinsley, Avery, Eva, Hazel, Nevaeh, Olivia, Layla\",\"I had cereals for breakfast with Nora, Kinsley, Avery, Eva, Hazel, Nevaeh, Olivia, Layla\"\n12572,2018/04/15,\"I had dinner with Olivia, Nevaeh, Rylee, Piper, Kinsley, Piper, Avery, Hazel, Claire, Nora, Eva, Lydia. I ate chinese food.\",\"I had dinner with Olivia, Nevaeh, Rylee, Piper, Kinsley, Piper, Avery, Hazel, Claire, Nora, Eva, Lydia. I ate chinese food.\"\n12573,2018/04/15,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n12574,2018/04/16,I did swimming on 2018/04/16.,I did swimming on 2018/04/16.\n12575,2018/04/16,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n12576,2018/04/16,\"I had sushi for dinner with Willow, Avery\",\"I had sushi for dinner with Willow, Avery\"\n12577,2018/04/16,I spent 26 talking to Nora on various topics in the late afternoon.,I spent 26 talking to Nora on various topics in the late afternoon.\n12578,2018/04/16,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n12579,2018/04/17,I did hiking on 2018/04/17.,I did hiking on 2018/04/17.\n12580,2018/04/17,\"I had sushi for lunch with Jackson, Willow, Benjamin\",\"I had sushi for lunch with Jackson, Willow, Benjamin\"\n12581,2018/04/17,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n12582,2018/04/17,\"I talked to Claire, Kinsley, Piper for 6 minutes in the late afternoon.\",\"I talked to Claire, Kinsley, Piper for 6 minutes in the late afternoon.\"\n12583,2018/04/17,I spent 18 minutes watching a documentary on TV today.,I spent 18 minutes watching a documentary on TV today.\n12584,2018/04/18,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n12585,2018/04/18,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n12586,2018/04/19,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n12587,2018/04/19,I had lunch with Kayden. I ate steak.,I had lunch with Kayden. I ate steak.\n12588,2018/04/19,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n12589,2018/04/20,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12590,2018/04/20,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n12591,2018/04/20,\"I had dinner with Piper, Nora, Olivia. I ate pasta.\",\"I had dinner with Piper, Nora, Olivia. I ate pasta.\"\n12592,2018/04/20,\"I spent 55 talking to Lydia, Hazel, Claire, Piper on various topics in the morning.\",\"I spent 55 talking to Lydia, Hazel, Claire, Piper on various topics in the morning.\"\n12593,2018/04/20,\"I spent 39 talking to Nevaeh, Piper, Claire on various topics in the early evening.\",\"I spent 39 talking to Nevaeh, Piper, Claire on various topics in the early evening.\"\n12594,2018/04/21,I did running on 2018/04/21.,I did running on 2018/04/21.\n12595,2018/04/21,I ate tacos for dinner.,I ate tacos for dinner.\n12596,2018/04/21,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n12597,2018/04/22,I did biking on 2018/04/22.,I did biking on 2018/04/22.\n12598,2018/04/22,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n12599,2018/04/22,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n12600,2018/04/23,I did swimming on 2018/04/23.,I did swimming on 2018/04/23.\n12601,2018/04/23,\"I had breakfast with Nora, Lydia, Avery, Piper, Olivia, Layla, Piper, Rylee, Nevaeh, Eva. I ate pancakes.\",\"I had breakfast with Nora, Lydia, Avery, Piper, Olivia, Layla, Piper, Rylee, Nevaeh, Eva. I ate pancakes.\"\n12602,2018/04/23,I had dinner. I ate steak.,I had dinner. I ate steak.\n12603,2018/04/23,\"I talked to Nora, Nevaeh, Piper, Kinsley for 35 minutes in the early evening.\",\"I talked to Nora, Nevaeh, Piper, Kinsley for 35 minutes in the early evening.\"\n12604,2018/04/23,I watched news for 29 minutes on TV today.,I watched news for 29 minutes on TV today.\n12605,2018/04/24,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n12606,2018/04/24,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n12607,2018/04/24,\"I spent 55 talking to Kinsley, Piper, Lydia, Rylee on various topics during lunch hours.\",\"I spent 55 talking to Kinsley, Piper, Lydia, Rylee on various topics during lunch hours.\"\n12608,2018/04/24,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n12609,2018/04/25,I did hiking on 2018/04/25.,I did hiking on 2018/04/25.\n12610,2018/04/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n12611,2018/04/25,I spent 15 minutes watching a documentary on TV today.,I spent 15 minutes watching a documentary on TV today.\n12612,2018/04/26,\"I spent time meditation on 2018/04/26 with Kayden, Carter, Emily.\",\"I spent time meditation on 2018/04/26 with Kayden, Carter, Emily.\"\n12613,2018/04/26,I did weight lifting on 2018/04/26.,I did weight lifting on 2018/04/26.\n12614,2018/04/26,I had toast and cheese for breakfast with Andrew,I had toast and cheese for breakfast with Andrew\n12615,2018/04/26,I prepare pasta for dinner.,I prepare pasta for dinner.\n12616,2018/04/26,\"I talked to Claire, Piper, Piper, Nora for 28 minutes during lunch hours.\",\"I talked to Claire, Piper, Piper, Nora for 28 minutes during lunch hours.\"\n12617,2018/04/26,I spent 47 minutes reading a book today.,I spent 47 minutes reading a book today.\n12618,2018/04/27,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n12619,2018/04/27,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n12620,2018/04/28,\"I had peanut-butter-jam for breakfast with Willow, Avery, Jackson, Benjamin\",\"I had peanut-butter-jam for breakfast with Willow, Avery, Jackson, Benjamin\"\n12621,2018/04/28,I ate sushi for lunch.,I ate sushi for lunch.\n12622,2018/04/28,\"I spent 47 talking to Claire, Layla, Nora on various topics in the early evening.\",\"I spent 47 talking to Claire, Layla, Nora on various topics in the early evening.\"\n12623,2018/04/28,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n12624,2018/04/28,I watched a tv series for 42 minutes on TV today.,I watched a tv series for 42 minutes on TV today.\n12625,2018/04/29,I had cereals for breakfast with Kinsley,I had cereals for breakfast with Kinsley\n12626,2018/04/29,I ate sushi for lunch.,I ate sushi for lunch.\n12627,2018/04/29,\"I spent 28 talking to Olivia, Hazel on various topics late in the evening.\",\"I spent 28 talking to Olivia, Hazel on various topics late in the evening.\"\n12628,2018/04/29,\"I talked to Nevaeh, Kinsley for 26 minutes during lunch hours.\",\"I talked to Nevaeh, Kinsley for 26 minutes during lunch hours.\"\n12629,2018/04/29,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n12630,2018/04/30,I did HIIT on 2018/04/30.,I did HIIT on 2018/04/30.\n12631,2018/04/30,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12632,2018/04/30,I spent 11 minutes reading a book today.,I spent 11 minutes reading a book today.\n12633,2018/04/30,I watched news for 46 minutes on TV today.,I watched news for 46 minutes on TV today.\n12634,2018/05/01,I did weight lifting on 2018/05/01.,I did weight lifting on 2018/05/01.\n12635,2018/05/01,\"I had breakfast with Lydia, Olivia, Kinsley, Claire, Avery, Nora, Nevaeh, Layla, Rylee, Hazel. I ate cereals.\",\"I had breakfast with Lydia, Olivia, Kinsley, Claire, Avery, Nora, Nevaeh, Layla, Rylee, Hazel. I ate cereals.\"\n12636,2018/05/01,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n12637,2018/05/01,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n12638,2018/05/02,\"I had peanut-butter-jam for breakfast with Carter, Emily, Andrew\",\"I had peanut-butter-jam for breakfast with Carter, Emily, Andrew\"\n12639,2018/05/02,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n12640,2018/05/02,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n12641,2018/05/02,I watched news for 28 minutes on TV today.,I watched news for 28 minutes on TV today.\n12642,2018/05/03,I did hiking on 2018/05/03.,I did hiking on 2018/05/03.\n12643,2018/05/03,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12644,2018/05/03,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n12645,2018/05/03,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n12646,2018/05/04,I did weight lifting on 2018/05/04.,I did weight lifting on 2018/05/04.\n12647,2018/05/04,I talked to Lydia for 13 minutes in the early evening.,I talked to Lydia for 13 minutes in the early evening.\n12648,2018/05/04,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n12649,2018/05/05,I did weight lifting on 2018/05/05.,I did weight lifting on 2018/05/05.\n12650,2018/05/05,\"I had breakfast with Carter, Andrew, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Andrew, Kayden. I ate eggs, sausages, and bread.\"\n12651,2018/05/05,I prepare sushi for dinner.,I prepare sushi for dinner.\n12652,2018/05/05,I spent 53 talking to Nevaeh on various topics in the early evening.,I spent 53 talking to Nevaeh on various topics in the early evening.\n12653,2018/05/05,\"I talked to Lydia, Kinsley for 30 minutes in the early afternoon.\",\"I talked to Lydia, Kinsley for 30 minutes in the early afternoon.\"\n12654,2018/05/05,I spent 27 minutes watching news on TV today.,I spent 27 minutes watching news on TV today.\n12655,2018/05/06,I went for an annual dental cleaning and checkup on 2018/05/06 at the hospital.,I went for an annual dental cleaning and checkup on 2018/05/06 at the hospital.\n12656,2018/05/06,\"I went grocery shopping. I bought some peaches, apple juice, orange juice, milk, and toothbrush\",\"I went grocery shopping. I bought some peaches, apple juice, orange juice, milk, and toothbrush\"\n12657,2018/05/06,I did HIIT on 2018/05/06.,I did HIIT on 2018/05/06.\n12658,2018/05/06,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n12659,2018/05/06,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n12660,2018/05/06,\"I spent 50 talking to Nevaeh, Kinsley, Piper, Eva on various topics late in the evening.\",\"I spent 50 talking to Nevaeh, Kinsley, Piper, Eva on various topics late in the evening.\"\n12661,2018/05/06,I spent 35 minutes watching a movie on TV today.,I spent 35 minutes watching a movie on TV today.\n12662,2018/05/07,I did hiking on 2018/05/07.,I did hiking on 2018/05/07.\n12663,2018/05/07,I ate cereals for breakfast.,I ate cereals for breakfast.\n12664,2018/05/07,\"I spent 35 talking to Nevaeh, Nora on various topics in the morning.\",\"I spent 35 talking to Nevaeh, Nora on various topics in the morning.\"\n12665,2018/05/07,\"I spent 32 talking to Avery, Claire on various topics in the late afternoon.\",\"I spent 32 talking to Avery, Claire on various topics in the late afternoon.\"\n12666,2018/05/07,I spent 55 minutes reading news today.,I spent 55 minutes reading news today.\n12667,2018/05/07,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n12668,2018/05/08,\"I had pancakes for breakfast with Jackson, Willow, Avery, Benjamin\",\"I had pancakes for breakfast with Jackson, Willow, Avery, Benjamin\"\n12669,2018/05/08,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n12670,2018/05/08,\"I spent 46 talking to Nora, Kinsley, Layla, Nevaeh on various topics in the morning.\",\"I spent 46 talking to Nora, Kinsley, Layla, Nevaeh on various topics in the morning.\"\n12671,2018/05/08,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n12672,2018/05/09,I did running on 2018/05/09.,I did running on 2018/05/09.\n12673,2018/05/09,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n12674,2018/05/09,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n12675,2018/05/09,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n12676,2018/05/10,\"On 2018/05/10, I took Willow on a date to a park\",\"On 2018/05/10, I took Willow on a date to a park\"\n12677,2018/05/10,\"I went grocery shopping. I bought some clementines, watermelons, coffee, soda, milk, and toilet paper, shaving cream, mouth wash, shampoo\",\"I went grocery shopping. I bought some clementines, watermelons, coffee, soda, milk, and toilet paper, shaving cream, mouth wash, shampoo\"\n12678,2018/05/10,I did weight lifting on 2018/05/10.,I did weight lifting on 2018/05/10.\n12679,2018/05/10,\"I talked to Piper, Eva for 5 minutes in the morning.\",\"I talked to Piper, Eva for 5 minutes in the morning.\"\n12680,2018/05/10,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n12681,2018/05/10,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n12682,2018/05/11,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n12683,2018/05/11,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n12684,2018/05/11,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n12685,2018/05/12,I did biking on 2018/05/12.,I did biking on 2018/05/12.\n12686,2018/05/12,\"I had steak for lunch with Carter, Andrew, Emily\",\"I had steak for lunch with Carter, Andrew, Emily\"\n12687,2018/05/12,\"I talked to Piper, Eva, Rylee for 30 minutes late in the evening.\",\"I talked to Piper, Eva, Rylee for 30 minutes late in the evening.\"\n12688,2018/05/12,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n12689,2018/05/12,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n12690,2018/05/13,\"I had oatmeal for breakfast with Emily, Andrew, Kayden, Carter\",\"I had oatmeal for breakfast with Emily, Andrew, Kayden, Carter\"\n12691,2018/05/13,I ate indian food for dinner.,I ate indian food for dinner.\n12692,2018/05/13,\"I talked to Nora, Piper for 27 minutes in the early evening.\",\"I talked to Nora, Piper for 27 minutes in the early evening.\"\n12693,2018/05/13,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n12694,2018/05/13,I spent 24 minutes watching a documentary on TV today.,I spent 24 minutes watching a documentary on TV today.\n12695,2018/05/14,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n12696,2018/05/14,\"I had steak for lunch with Andrew, Emily, Carter, Kayden\",\"I had steak for lunch with Andrew, Emily, Carter, Kayden\"\n12697,2018/05/14,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n12698,2018/05/14,I watched a movie for 24 minutes on TV today.,I watched a movie for 24 minutes on TV today.\n12699,2018/05/15,I did swimming on 2018/05/15.,I did swimming on 2018/05/15.\n12700,2018/05/15,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n12701,2018/05/15,\"I had indian food for dinner with Emily, Kayden, Carter, Andrew\",\"I had indian food for dinner with Emily, Kayden, Carter, Andrew\"\n12702,2018/05/16,\"On 2018/05/16, I took Piper on a date to a restaurant\",\"On 2018/05/16, I took Piper on a date to a restaurant\"\n12703,2018/05/16,I spent time yoga on 2018/05/16 with Nora.,I spent time yoga on 2018/05/16 with Nora.\n12704,2018/05/16,I ate a burger for dinner.,I ate a burger for dinner.\n12705,2018/05/16,\"I talked to Layla, Hazel, Olivia, Rylee for 50 minutes in the morning.\",\"I talked to Layla, Hazel, Olivia, Rylee for 50 minutes in the morning.\"\n12706,2018/05/16,\"I spent 40 talking to Claire, Rylee, Eva on various topics in the morning.\",\"I spent 40 talking to Claire, Rylee, Eva on various topics in the morning.\"\n12707,2018/05/16,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n12708,2018/05/17,I prepare tacos for dinner.,I prepare tacos for dinner.\n12709,2018/05/17,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n12710,2018/05/17,I watched news for 10 minutes on TV today.,I watched news for 10 minutes on TV today.\n12711,2018/05/18,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n12712,2018/05/19,\"I had breakfast with Andrew, Kayden. I ate toast and cheese.\",\"I had breakfast with Andrew, Kayden. I ate toast and cheese.\"\n12713,2018/05/19,\"I talked to Piper, Eva, Nora for 30 minutes in the late afternoon.\",\"I talked to Piper, Eva, Nora for 30 minutes in the late afternoon.\"\n12714,2018/05/19,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n12715,2018/05/19,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n12716,2018/05/20,\"I entertained Nevaeh, Nora, Rylee, Olivia at my place on 2018/05/20 and bake homemade toaster pastries, cinnamon sheet cake with cider frosting, easy chocolate marshmallow cups\",\"I entertained Nevaeh, Nora, Rylee, Olivia at my place on 2018/05/20 and bake homemade toaster pastries, cinnamon sheet cake with cider frosting, easy chocolate marshmallow cups\"\n12717,2018/05/20,I talked to Claire for 31 minutes in the early evening.,I talked to Claire for 31 minutes in the early evening.\n12718,2018/05/20,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n12719,2018/05/21,\"I talked to Hazel, Lydia, Layla for 26 minutes late in the evening.\",\"I talked to Hazel, Lydia, Layla for 26 minutes late in the evening.\"\n12720,2018/05/21,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n12721,2018/05/22,I took my parents for their for an annual physical checkup on 2018/05/22 at the hospital.,I took my parents for their for an annual physical checkup on 2018/05/22 at the hospital.\n12722,2018/05/22,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n12723,2018/05/22,\"I had lunch with Avery, Willow, Jackson, Benjamin. I ate chinese food.\",\"I had lunch with Avery, Willow, Jackson, Benjamin. I ate chinese food.\"\n12724,2018/05/22,\"I had a burger for dinner with Andrew, Carter, Kayden\",\"I had a burger for dinner with Andrew, Carter, Kayden\"\n12725,2018/05/22,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n12726,2018/05/23,I prepare indian food for dinner.,I prepare indian food for dinner.\n12727,2018/05/23,\"I spent 17 talking to Nevaeh, Nora, Claire on various topics in the late afternoon.\",\"I spent 17 talking to Nevaeh, Nora, Claire on various topics in the late afternoon.\"\n12728,2018/05/24,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n12729,2018/05/24,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n12730,2018/05/24,\"I spent 32 talking to Claire, Eva, Kinsley on various topics in the morning.\",\"I spent 32 talking to Claire, Eva, Kinsley on various topics in the morning.\"\n12731,2018/05/24,I talked to Hazel for 24 minutes late in the evening.,I talked to Hazel for 24 minutes late in the evening.\n12732,2018/05/25,I did biking on 2018/05/25.,I did biking on 2018/05/25.\n12733,2018/05/25,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n12734,2018/05/25,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n12735,2018/05/26,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n12736,2018/05/26,\"I had pasta for lunch with Emily, Andrew, Kayden\",\"I had pasta for lunch with Emily, Andrew, Kayden\"\n12737,2018/05/26,I ate sushi for dinner.,I ate sushi for dinner.\n12738,2018/05/26,I spent 54 talking to Layla on various topics in the early afternoon.,I spent 54 talking to Layla on various topics in the early afternoon.\n12739,2018/05/26,\"I spent 29 talking to Kinsley, Layla on various topics in the early afternoon.\",\"I spent 29 talking to Kinsley, Layla on various topics in the early afternoon.\"\n12740,2018/05/26,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n12741,2018/05/27,\"I bought some cherres, apple juice, milk, sports drinks, toothbrush online.\",\"I bought some cherres, apple juice, milk, sports drinks, toothbrush online.\"\n12742,2018/05/27,I did swimming on 2018/05/27.,I did swimming on 2018/05/27.\n12743,2018/05/27,I prepare steak for lunch.,I prepare steak for lunch.\n12744,2018/05/27,\"I talked to Nevaeh, Piper, Lydia, Piper for 53 minutes in the morning.\",\"I talked to Nevaeh, Piper, Lydia, Piper for 53 minutes in the morning.\"\n12745,2018/05/27,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n12746,2018/05/28,I did running on 2018/05/28.,I did running on 2018/05/28.\n12747,2018/05/28,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n12748,2018/05/29,I did swimming on 2018/05/29.,I did swimming on 2018/05/29.\n12749,2018/05/29,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12750,2018/05/29,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n12751,2018/05/30,\"I bought some cherres, apples, pineapple juice, paper towel, shaving cream from the grocery store. I saw Andrew at the grocery store.\",\"I bought some cherres, apples, pineapple juice, paper towel, shaving cream from the grocery store. I saw Andrew at the grocery store.\"\n12752,2018/05/30,I did HIIT on 2018/05/30.,I did HIIT on 2018/05/30.\n12753,2018/05/30,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n12754,2018/05/30,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n12755,2018/05/30,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n12756,2018/05/31,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12757,2018/05/31,\"I talked to Nora, Avery, Layla for 31 minutes during lunch hours.\",\"I talked to Nora, Avery, Layla for 31 minutes during lunch hours.\"\n12758,2018/05/31,\"I talked to Piper, Eva for 34 minutes in the late afternoon.\",\"I talked to Piper, Eva for 34 minutes in the late afternoon.\"\n12759,2018/06/01,\"I went grocery shopping. I bought some pineapples, pineapple juice, guava juice, soda, orange juice, and shaving cream, paper towel\",\"I went grocery shopping. I bought some pineapples, pineapple juice, guava juice, soda, orange juice, and shaving cream, paper towel\"\n12760,2018/06/01,I did hiking on 2018/06/01.,I did hiking on 2018/06/01.\n12761,2018/06/01,\"I had breakfast with Claire, Hazel, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Claire, Hazel, Piper. I ate eggs, sausages, and bread.\"\n12762,2018/06/01,I spent 40 minutes on news today.,I spent 40 minutes on news today.\n12763,2018/06/02,I did biking on 2018/06/02.,I did biking on 2018/06/02.\n12764,2018/06/02,\"I spent 38 talking to Nevaeh, Avery, Lydia, Rylee on various topics in the morning.\",\"I spent 38 talking to Nevaeh, Avery, Lydia, Rylee on various topics in the morning.\"\n12765,2018/06/02,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n12766,2018/06/02,I spent 30 minutes watching a tv series on TV today.,I spent 30 minutes watching a tv series on TV today.\n12767,2018/06/03,\"On 2018/06/03, I took Lily on a date to a coffee Shop\",\"On 2018/06/03, I took Lily on a date to a coffee Shop\"\n12768,2018/06/03,I did running on 2018/06/03.,I did running on 2018/06/03.\n12769,2018/06/03,I had breakfast with Andrew. I ate toast and cheese.,I had breakfast with Andrew. I ate toast and cheese.\n12770,2018/06/03,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n12771,2018/06/03,\"I had indian food for dinner with Kayden, Andrew\",\"I had indian food for dinner with Kayden, Andrew\"\n12772,2018/06/03,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n12773,2018/06/04,\"I bought some oranges, apples, apricots, blackberries, apple juice, orange juice, paper towel from the grocery store. I saw Avery, Willow, Benjamin, Jackson at the grocery store.\",\"I bought some oranges, apples, apricots, blackberries, apple juice, orange juice, paper towel from the grocery store. I saw Avery, Willow, Benjamin, Jackson at the grocery store.\"\n12774,2018/06/04,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n12775,2018/06/04,\"I had pasta for dinner with Andrew, Emily, Kayden\",\"I had pasta for dinner with Andrew, Emily, Kayden\"\n12776,2018/06/04,I talked to Olivia for 12 minutes in the morning.,I talked to Olivia for 12 minutes in the morning.\n12777,2018/06/04,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n12778,2018/06/05,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n12779,2018/06/05,\"I talked to Hazel, Nevaeh, Claire for 6 minutes during lunch hours.\",\"I talked to Hazel, Nevaeh, Claire for 6 minutes during lunch hours.\"\n12780,2018/06/05,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n12781,2018/06/06,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n12782,2018/06/06,I ate indian food for lunch.,I ate indian food for lunch.\n12783,2018/06/06,\"I had steak for dinner with Emily, Kayden, Carter\",\"I had steak for dinner with Emily, Kayden, Carter\"\n12784,2018/06/06,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n12785,2018/06/07,I did running on 2018/06/07.,I did running on 2018/06/07.\n12786,2018/06/07,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n12787,2018/06/07,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n12788,2018/06/07,I spent 41 minutes watching a tv series on TV today.,I spent 41 minutes watching a tv series on TV today.\n12789,2018/06/08,\"On 2018/06/08, I took Leah on a date to a restaurant\",\"On 2018/06/08, I took Leah on a date to a restaurant\"\n12790,2018/06/08,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n12791,2018/06/08,I had dinner with Carter. I ate a burger.,I had dinner with Carter. I ate a burger.\n12792,2018/06/08,\"I spent 20 talking to Nevaeh, Hazel, Avery, Nora on various topics in the morning.\",\"I spent 20 talking to Nevaeh, Hazel, Avery, Nora on various topics in the morning.\"\n12793,2018/06/08,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n12794,2018/06/09,I did hiking on 2018/06/09.,I did hiking on 2018/06/09.\n12795,2018/06/09,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n12796,2018/06/09,\"I had tacos for lunch with Andrew, Kayden, Emily\",\"I had tacos for lunch with Andrew, Kayden, Emily\"\n12797,2018/06/09,I talked to Nora for 15 minutes in the morning.,I talked to Nora for 15 minutes in the morning.\n12798,2018/06/09,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n12799,2018/06/09,I watched a movie for 20 minutes on TV today.,I watched a movie for 20 minutes on TV today.\n12800,2018/06/10,I spent some time working out on 2018/06/10.,I spent some time working out on 2018/06/10.\n12801,2018/06/10,\"I went grocery shopping. I bought some strawberries, watermelons, bananas, coffee, mineral water, milk, chocolate milk, and shampoo, mouth wash, shaving cream, toothbrush\",\"I went grocery shopping. I bought some strawberries, watermelons, bananas, coffee, mineral water, milk, chocolate milk, and shampoo, mouth wash, shaving cream, toothbrush\"\n12802,2018/06/10,I did running on 2018/06/10.,I did running on 2018/06/10.\n12803,2018/06/10,\"I had lunch with Andrew, Emily. I ate sandwich.\",\"I had lunch with Andrew, Emily. I ate sandwich.\"\n12804,2018/06/10,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n12805,2018/06/10,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n12806,2018/06/11,I had lunch. I ate steak.,I had lunch. I ate steak.\n12807,2018/06/11,\"I talked to Olivia, Kinsley, Avery for 29 minutes in the late afternoon.\",\"I talked to Olivia, Kinsley, Avery for 29 minutes in the late afternoon.\"\n12808,2018/06/11,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n12809,2018/06/12,\"I had steak for dinner with Piper, Nevaeh, Eva, Kinsley, Avery, Claire, Lydia, Piper, Rylee, Layla\",\"I had steak for dinner with Piper, Nevaeh, Eva, Kinsley, Avery, Claire, Lydia, Piper, Rylee, Layla\"\n12810,2018/06/12,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n12811,2018/06/12,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n12812,2018/06/13,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n12813,2018/06/13,\"I had steak for lunch with Jackson, Willow, Avery\",\"I had steak for lunch with Jackson, Willow, Avery\"\n12814,2018/06/13,I spent 35 talking to Claire on various topics in the late afternoon.,I spent 35 talking to Claire on various topics in the late afternoon.\n12815,2018/06/13,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n12816,2018/06/14,\"On 2018/06/14, I took Jaxon on a date to a coffee Shop\",\"On 2018/06/14, I took Jaxon on a date to a coffee Shop\"\n12817,2018/06/14,I did biking on 2018/06/14.,I did biking on 2018/06/14.\n12818,2018/06/14,\"I had lunch with Kinsley, Olivia, Layla, Eva, Hazel, Nevaeh, Rylee. I ate steak.\",\"I had lunch with Kinsley, Olivia, Layla, Eva, Hazel, Nevaeh, Rylee. I ate steak.\"\n12819,2018/06/14,I ate a burger for dinner.,I ate a burger for dinner.\n12820,2018/06/14,\"I talked to Avery, Claire, Lydia for 30 minutes in the morning.\",\"I talked to Avery, Claire, Lydia for 30 minutes in the morning.\"\n12821,2018/06/15,I did swimming on 2018/06/15.,I did swimming on 2018/06/15.\n12822,2018/06/15,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n12823,2018/06/15,\"I had dinner with Kayden, Carter, Andrew, Emily. I ate sandwich.\",\"I had dinner with Kayden, Carter, Andrew, Emily. I ate sandwich.\"\n12824,2018/06/15,I watched a tv series for 49 minutes on TV today.,I watched a tv series for 49 minutes on TV today.\n12825,2018/06/16,\"I went grocery shopping. I bought some mandarins, mangos, apricots, bananas, soda, apple juice, and paper towel, mouthwash, toothpaste\",\"I went grocery shopping. I bought some mandarins, mangos, apricots, bananas, soda, apple juice, and paper towel, mouthwash, toothpaste\"\n12826,2018/06/16,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n12827,2018/06/16,\"I had dinner with Piper, Eva, Hazel, Claire. I ate fish and chips.\",\"I had dinner with Piper, Eva, Hazel, Claire. I ate fish and chips.\"\n12828,2018/06/17,I did swimming on 2018/06/17.,I did swimming on 2018/06/17.\n12829,2018/06/17,I had oatmeal for breakfast with Jackson,I had oatmeal for breakfast with Jackson\n12830,2018/06/17,I ate a burger for lunch.,I ate a burger for lunch.\n12831,2018/06/17,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n12832,2018/06/17,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n12833,2018/06/17,I watched a documentary for 36 minutes on TV today.,I watched a documentary for 36 minutes on TV today.\n12834,2018/06/18,I did HIIT on 2018/06/18.,I did HIIT on 2018/06/18.\n12835,2018/06/18,\"I had eggs, sausages, and bread for breakfast with Carter\",\"I had eggs, sausages, and bread for breakfast with Carter\"\n12836,2018/06/18,I spent 41 talking to Nora on various topics in the early afternoon.,I spent 41 talking to Nora on various topics in the early afternoon.\n12837,2018/06/18,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n12838,2018/06/18,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n12839,2018/06/19,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n12840,2018/06/19,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n12841,2018/06/19,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n12842,2018/06/20,\"I bought some strawberries, sports drinks, shaving cream online.\",\"I bought some strawberries, sports drinks, shaving cream online.\"\n12843,2018/06/20,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n12844,2018/06/20,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n12845,2018/06/20,I prepare sushi for dinner.,I prepare sushi for dinner.\n12846,2018/06/20,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n12847,2018/06/21,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n12848,2018/06/21,\"I had sandwich for dinner with Rylee, Claire, Piper, Hazel\",\"I had sandwich for dinner with Rylee, Claire, Piper, Hazel\"\n12849,2018/06/21,\"I talked to Kinsley, Claire for 11 minutes in the early evening.\",\"I talked to Kinsley, Claire for 11 minutes in the early evening.\"\n12850,2018/06/21,\"I spent 10 talking to Avery, Kinsley, Olivia, Piper on various topics in the early afternoon.\",\"I spent 10 talking to Avery, Kinsley, Olivia, Piper on various topics in the early afternoon.\"\n12851,2018/06/22,I did biking on 2018/06/22.,I did biking on 2018/06/22.\n12852,2018/06/22,\"I had oatmeal for breakfast with Kayden, Andrew, Carter, Emily\",\"I had oatmeal for breakfast with Kayden, Andrew, Carter, Emily\"\n12853,2018/06/22,\"I had steak for lunch with Lydia, Rylee, Piper, Avery, Kinsley, Piper, Nora, Layla, Olivia, Claire\",\"I had steak for lunch with Lydia, Rylee, Piper, Avery, Kinsley, Piper, Nora, Layla, Olivia, Claire\"\n12854,2018/06/22,I had dinner. I ate steak.,I had dinner. I ate steak.\n12855,2018/06/22,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n12856,2018/06/22,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n12857,2018/06/23,\"I bought some raspberries, pears, oranges, clementines, orange juice, toilet paper, shaving cream, mouthwash from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\",\"I bought some raspberries, pears, oranges, clementines, orange juice, toilet paper, shaving cream, mouthwash from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\"\n12858,2018/06/23,I did biking on 2018/06/23.,I did biking on 2018/06/23.\n12859,2018/06/23,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n12860,2018/06/23,\"I had sushi for dinner with Andrew, Kayden\",\"I had sushi for dinner with Andrew, Kayden\"\n12861,2018/06/23,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n12862,2018/06/23,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n12863,2018/06/24,I did biking on 2018/06/24.,I did biking on 2018/06/24.\n12864,2018/06/24,I had sandwich for lunch with Claire,I had sandwich for lunch with Claire\n12865,2018/06/24,\"I talked to Nora, Kinsley for 51 minutes in the morning.\",\"I talked to Nora, Kinsley for 51 minutes in the morning.\"\n12866,2018/06/24,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n12867,2018/06/25,I spent some time gardening on 2018/06/25.,I spent some time gardening on 2018/06/25.\n12868,2018/06/25,I prepare pasta for dinner.,I prepare pasta for dinner.\n12869,2018/06/25,I talked to Hazel for 18 minutes in the late afternoon.,I talked to Hazel for 18 minutes in the late afternoon.\n12870,2018/06/25,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n12871,2018/06/25,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n12872,2018/06/26,\"I bought some oranges, guava, apricots, guava juice, mineral water, paper towel, body lotion online.\",\"I bought some oranges, guava, apricots, guava juice, mineral water, paper towel, body lotion online.\"\n12873,2018/06/26,I ate tacos for dinner.,I ate tacos for dinner.\n12874,2018/06/26,\"I spent 23 talking to Piper, Nevaeh, Rylee, Eva on various topics in the early afternoon.\",\"I spent 23 talking to Piper, Nevaeh, Rylee, Eva on various topics in the early afternoon.\"\n12875,2018/06/26,I spent 39 minutes watching a tv series on TV today.,I spent 39 minutes watching a tv series on TV today.\n12876,2018/06/27,I did weight lifting on 2018/06/27.,I did weight lifting on 2018/06/27.\n12877,2018/06/27,\"I talked to Avery, Lydia for 38 minutes in the morning.\",\"I talked to Avery, Lydia for 38 minutes in the morning.\"\n12878,2018/06/27,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n12879,2018/06/28,\"I spent 6 talking to Nora, Rylee on various topics in the early evening.\",\"I spent 6 talking to Nora, Rylee on various topics in the early evening.\"\n12880,2018/06/28,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n12881,2018/06/29,I had steak for lunch with Carter,I had steak for lunch with Carter\n12882,2018/06/29,\"I had sandwich for dinner with Lydia, Claire, Olivia, Kinsley, Piper, Rylee, Hazel, Layla, Nevaeh, Piper, Nora, Avery\",\"I had sandwich for dinner with Lydia, Claire, Olivia, Kinsley, Piper, Rylee, Hazel, Layla, Nevaeh, Piper, Nora, Avery\"\n12883,2018/06/29,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n12884,2018/06/29,I watched a movie for 30 minutes on TV today.,I watched a movie for 30 minutes on TV today.\n12885,2018/06/30,\"I had dinner with Andrew, Emily. I ate tacos.\",\"I had dinner with Andrew, Emily. I ate tacos.\"\n12886,2018/06/30,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n12887,2018/07/01,I went on a date with Josephine on 2018/07/01 at a coffee Shop,I went on a date with Josephine on 2018/07/01 at a coffee Shop\n12888,2018/07/01,I did weight lifting on 2018/07/01.,I did weight lifting on 2018/07/01.\n12889,2018/07/01,\"I had oatmeal for breakfast with Kinsley, Layla, Hazel, Avery, Lydia, Eva, Rylee, Piper, Claire, Olivia\",\"I had oatmeal for breakfast with Kinsley, Layla, Hazel, Avery, Lydia, Eva, Rylee, Piper, Claire, Olivia\"\n12890,2018/07/01,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n12891,2018/07/01,\"I talked to Eva, Hazel, Piper for 39 minutes in the morning.\",\"I talked to Eva, Hazel, Piper for 39 minutes in the morning.\"\n12892,2018/07/01,\"I spent 26 talking to Piper, Lydia, Claire on various topics late in the evening.\",\"I spent 26 talking to Piper, Lydia, Claire on various topics late in the evening.\"\n12893,2018/07/01,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n12894,2018/07/02,I did HIIT on 2018/07/02.,I did HIIT on 2018/07/02.\n12895,2018/07/02,\"I talked to Kinsley, Piper, Avery, Nora for 43 minutes during lunch hours.\",\"I talked to Kinsley, Piper, Avery, Nora for 43 minutes during lunch hours.\"\n12896,2018/07/02,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n12897,2018/07/02,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n12898,2018/07/03,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12899,2018/07/03,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n12900,2018/07/03,I talked to Nevaeh for 13 minutes in the late afternoon.,I talked to Nevaeh for 13 minutes in the late afternoon.\n12901,2018/07/03,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n12902,2018/07/03,I spent 34 minutes watching a tv series on TV today.,I spent 34 minutes watching a tv series on TV today.\n12903,2018/07/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n12904,2018/07/04,\"I had steak for dinner with Kayden, Emily, Carter\",\"I had steak for dinner with Kayden, Emily, Carter\"\n12905,2018/07/05,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n12906,2018/07/05,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n12907,2018/07/05,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n12908,2018/07/06,I did weight lifting on 2018/07/06.,I did weight lifting on 2018/07/06.\n12909,2018/07/06,\"I had steak for lunch with Nevaeh, Lydia, Eva, Olivia, Avery, Piper, Piper, Layla, Hazel\",\"I had steak for lunch with Nevaeh, Lydia, Eva, Olivia, Avery, Piper, Piper, Layla, Hazel\"\n12910,2018/07/07,\"I went grocery shopping with Emily. I bought some pineapples, raspberries, strawberries, soda, apple juice, milk, and toothbrush\",\"I went grocery shopping with Emily. I bought some pineapples, raspberries, strawberries, soda, apple juice, milk, and toothbrush\"\n12911,2018/07/07,I did running on 2018/07/07.,I did running on 2018/07/07.\n12912,2018/07/07,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n12913,2018/07/07,\"I talked to Kinsley, Claire for 10 minutes in the late afternoon.\",\"I talked to Kinsley, Claire for 10 minutes in the late afternoon.\"\n12914,2018/07/08,I did running on 2018/07/08.,I did running on 2018/07/08.\n12915,2018/07/08,I ate sushi for lunch.,I ate sushi for lunch.\n12916,2018/07/08,\"I had fish and chips for dinner with Andrew, Kayden\",\"I had fish and chips for dinner with Andrew, Kayden\"\n12917,2018/07/08,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n12918,2018/07/09,\"I entertained Nevaeh, Nora, Avery at my place on 2018/07/09 and cook beef and broccoli\",\"I entertained Nevaeh, Nora, Avery at my place on 2018/07/09 and cook beef and broccoli\"\n12919,2018/07/09,\"On 2018/07/09, I took Luke on a date to a coffee Shop\",\"On 2018/07/09, I took Luke on a date to a coffee Shop\"\n12920,2018/07/09,I ate sushi for dinner.,I ate sushi for dinner.\n12921,2018/07/09,\"I talked to Kinsley, Eva, Layla for 47 minutes in the early afternoon.\",\"I talked to Kinsley, Eva, Layla for 47 minutes in the early afternoon.\"\n12922,2018/07/09,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n12923,2018/07/10,\"I spent time working out on 2018/07/10 with Emily, Kayden, Carter.\",\"I spent time working out on 2018/07/10 with Emily, Kayden, Carter.\"\n12924,2018/07/10,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n12925,2018/07/10,\"I talked to Eva, Kinsley, Rylee, Claire for 26 minutes in the early afternoon.\",\"I talked to Eva, Kinsley, Rylee, Claire for 26 minutes in the early afternoon.\"\n12926,2018/07/10,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n12927,2018/07/11,I did running on 2018/07/11.,I did running on 2018/07/11.\n12928,2018/07/11,\"I had lunch with Nevaeh, Eva, Avery, Lydia, Nora, Hazel, Kinsley, Claire, Piper, Piper, Rylee. I ate sandwich.\",\"I had lunch with Nevaeh, Eva, Avery, Lydia, Nora, Hazel, Kinsley, Claire, Piper, Piper, Rylee. I ate sandwich.\"\n12929,2018/07/11,I had dinner. I ate steak.,I had dinner. I ate steak.\n12930,2018/07/11,I spent 6 minutes on social media today.,I spent 6 minutes on social media today.\n12931,2018/07/11,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n12932,2018/07/12,I did hiking on 2018/07/12.,I did hiking on 2018/07/12.\n12933,2018/07/12,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n12934,2018/07/12,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n12935,2018/07/12,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n12936,2018/07/13,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n12937,2018/07/13,I talked to Claire for 11 minutes in the early evening.,I talked to Claire for 11 minutes in the early evening.\n12938,2018/07/13,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n12939,2018/07/14,\"On 2018/07/14, I took Isaiah on a date to a park\",\"On 2018/07/14, I took Isaiah on a date to a park\"\n12940,2018/07/14,I did running on 2018/07/14.,I did running on 2018/07/14.\n12941,2018/07/14,\"I had breakfast with Avery, Willow, Jackson. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Willow, Jackson. I ate eggs, sausages, and bread.\"\n12942,2018/07/14,\"I had a burger for dinner with Benjamin, Avery, Jackson, Willow\",\"I had a burger for dinner with Benjamin, Avery, Jackson, Willow\"\n12943,2018/07/14,I talked to Piper for 29 minutes in the early evening.,I talked to Piper for 29 minutes in the early evening.\n12944,2018/07/14,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n12945,2018/07/15,\"I had indian food for lunch with Emily, Kayden, Carter, Andrew\",\"I had indian food for lunch with Emily, Kayden, Carter, Andrew\"\n12946,2018/07/15,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n12947,2018/07/15,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n12948,2018/07/16,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n12949,2018/07/17,\"I went grocery shopping with Kayden, Andrew, Carter. I bought some strawberries, mandarins, pineapples, guava, soda, orange juice, guava juice, coffee, and shampoo, conditioner\",\"I went grocery shopping with Kayden, Andrew, Carter. I bought some strawberries, mandarins, pineapples, guava, soda, orange juice, guava juice, coffee, and shampoo, conditioner\"\n12950,2018/07/17,I did HIIT on 2018/07/17.,I did HIIT on 2018/07/17.\n12951,2018/07/17,\"I had lunch with Benjamin, Jackson, Willow, Avery. I ate sushi.\",\"I had lunch with Benjamin, Jackson, Willow, Avery. I ate sushi.\"\n12952,2018/07/17,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n12953,2018/07/17,\"I talked to Hazel, Nora, Claire for 34 minutes in the late afternoon.\",\"I talked to Hazel, Nora, Claire for 34 minutes in the late afternoon.\"\n12954,2018/07/17,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n12955,2018/07/18,I did HIIT on 2018/07/18.,I did HIIT on 2018/07/18.\n12956,2018/07/18,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n12957,2018/07/18,I ate indian food for dinner.,I ate indian food for dinner.\n12958,2018/07/18,\"I spent 48 talking to Kinsley, Olivia, Hazel, Piper on various topics in the late afternoon.\",\"I spent 48 talking to Kinsley, Olivia, Hazel, Piper on various topics in the late afternoon.\"\n12959,2018/07/18,\"I spent 41 talking to Avery, Layla, Hazel, Nevaeh on various topics in the early evening.\",\"I spent 41 talking to Avery, Layla, Hazel, Nevaeh on various topics in the early evening.\"\n12960,2018/07/19,\"I bought some oranges, watermelons, apricots, soda, orange juice, sports drinks, toothpaste, mouthwash from the grocery store. I saw Layla, Piper, Lydia, Nora, Rylee, Olivia at the grocery store.\",\"I bought some oranges, watermelons, apricots, soda, orange juice, sports drinks, toothpaste, mouthwash from the grocery store. I saw Layla, Piper, Lydia, Nora, Rylee, Olivia at the grocery store.\"\n12961,2018/07/19,I did biking on 2018/07/19.,I did biking on 2018/07/19.\n12962,2018/07/19,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n12963,2018/07/19,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n12964,2018/07/19,I had dinner with Jackson. I ate fish and chips.,I had dinner with Jackson. I ate fish and chips.\n12965,2018/07/19,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n12966,2018/07/20,I did swimming on 2018/07/20.,I did swimming on 2018/07/20.\n12967,2018/07/20,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n12968,2018/07/20,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n12969,2018/07/20,\"I talked to Lydia, Piper for 8 minutes in the early evening.\",\"I talked to Lydia, Piper for 8 minutes in the early evening.\"\n12970,2018/07/21,I did swimming on 2018/07/21.,I did swimming on 2018/07/21.\n12971,2018/07/21,\"I had eggs, sausages, and bread for breakfast with Nevaeh, Eva, Claire, Kinsley, Avery, Rylee, Layla, Nora, Lydia, Olivia, Piper, Hazel, Piper\",\"I had eggs, sausages, and bread for breakfast with Nevaeh, Eva, Claire, Kinsley, Avery, Rylee, Layla, Nora, Lydia, Olivia, Piper, Hazel, Piper\"\n12972,2018/07/21,I ate steak for dinner.,I ate steak for dinner.\n12973,2018/07/22,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n12974,2018/07/22,\"I had dinner with Benjamin, Jackson. I ate tacos.\",\"I had dinner with Benjamin, Jackson. I ate tacos.\"\n12975,2018/07/22,\"I spent 28 talking to Eva, Lydia, Claire, Hazel on various topics late in the evening.\",\"I spent 28 talking to Eva, Lydia, Claire, Hazel on various topics late in the evening.\"\n12976,2018/07/22,I talked to Layla for 21 minutes in the late afternoon.,I talked to Layla for 21 minutes in the late afternoon.\n12977,2018/07/22,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n12978,2018/07/22,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n12979,2018/07/23,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n12980,2018/07/23,\"I spent 22 talking to Eva, Avery on various topics late in the evening.\",\"I spent 22 talking to Eva, Avery on various topics late in the evening.\"\n12981,2018/07/23,I spent 32 talking to Rylee on various topics in the early evening.,I spent 32 talking to Rylee on various topics in the early evening.\n12982,2018/07/23,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n12983,2018/07/23,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n12984,2018/07/24,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n12985,2018/07/24,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n12986,2018/07/25,\"I bought some pears, apples, pineapples, guava juice, body lotion online.\",\"I bought some pears, apples, pineapples, guava juice, body lotion online.\"\n12987,2018/07/25,I did weight lifting on 2018/07/25.,I did weight lifting on 2018/07/25.\n12988,2018/07/25,\"I had cereals for breakfast with Carter, Kayden, Andrew, Emily\",\"I had cereals for breakfast with Carter, Kayden, Andrew, Emily\"\n12989,2018/07/25,\"I spent 7 talking to Lydia, Piper on various topics in the early afternoon.\",\"I spent 7 talking to Lydia, Piper on various topics in the early afternoon.\"\n12990,2018/07/25,\"I spent 37 talking to Rylee, Layla, Piper on various topics in the morning.\",\"I spent 37 talking to Rylee, Layla, Piper on various topics in the morning.\"\n12991,2018/07/25,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n12992,2018/07/26,\"I went grocery shopping. I bought some strawberries, apples, orange juice, apple juice, and mouthwash, facial wash, toothpaste, shaving cream\",\"I went grocery shopping. I bought some strawberries, apples, orange juice, apple juice, and mouthwash, facial wash, toothpaste, shaving cream\"\n12993,2018/07/26,I did biking on 2018/07/26.,I did biking on 2018/07/26.\n12994,2018/07/26,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n12995,2018/07/26,\"I spent 53 talking to Nevaeh, Piper, Olivia, Lydia on various topics in the early afternoon.\",\"I spent 53 talking to Nevaeh, Piper, Olivia, Lydia on various topics in the early afternoon.\"\n12996,2018/07/27,I did hiking on 2018/07/27.,I did hiking on 2018/07/27.\n12997,2018/07/27,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n12998,2018/07/27,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n12999,2018/07/28,I did hiking on 2018/07/28.,I did hiking on 2018/07/28.\n13000,2018/07/28,\"I had steak for lunch with Andrew, Carter\",\"I had steak for lunch with Andrew, Carter\"\n13001,2018/07/28,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n13002,2018/07/28,I spent 24 minutes watching news on TV today.,I spent 24 minutes watching news on TV today.\n13003,2018/07/29,I did hiking on 2018/07/29.,I did hiking on 2018/07/29.\n13004,2018/07/29,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n13005,2018/07/29,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n13006,2018/07/29,I had pasta for dinner with Willow,I had pasta for dinner with Willow\n13007,2018/07/29,\"I talked to Nevaeh, Lydia, Piper, Claire for 50 minutes late in the evening.\",\"I talked to Nevaeh, Lydia, Piper, Claire for 50 minutes late in the evening.\"\n13008,2018/07/29,\"I spent 41 talking to Layla, Piper, Olivia, Eva on various topics in the early afternoon.\",\"I spent 41 talking to Layla, Piper, Olivia, Eva on various topics in the early afternoon.\"\n13009,2018/07/29,I spent 24 minutes watching a movie on TV today.,I spent 24 minutes watching a movie on TV today.\n13010,2018/07/30,I did HIIT on 2018/07/30.,I did HIIT on 2018/07/30.\n13011,2018/07/30,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n13012,2018/07/30,\"I had lunch with Carter, Emily. I ate tacos.\",\"I had lunch with Carter, Emily. I ate tacos.\"\n13013,2018/07/30,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n13014,2018/07/31,I did weight lifting on 2018/07/31.,I did weight lifting on 2018/07/31.\n13015,2018/07/31,\"I had breakfast with Carter, Emily. I ate toast and cheese.\",\"I had breakfast with Carter, Emily. I ate toast and cheese.\"\n13016,2018/07/31,\"I had lunch with Avery, Eva, Nora, Lydia, Piper, Rylee, Layla. I ate fish and chips.\",\"I had lunch with Avery, Eva, Nora, Lydia, Piper, Rylee, Layla. I ate fish and chips.\"\n13017,2018/07/31,\"I had dinner with Andrew, Emily. I ate steak.\",\"I had dinner with Andrew, Emily. I ate steak.\"\n13018,2018/07/31,\"I talked to Lydia, Piper, Avery for 16 minutes late in the evening.\",\"I talked to Lydia, Piper, Avery for 16 minutes late in the evening.\"\n13019,2018/07/31,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n13020,2018/08/01,I did hiking on 2018/08/01.,I did hiking on 2018/08/01.\n13021,2018/08/01,I prepare indian food for dinner.,I prepare indian food for dinner.\n13022,2018/08/01,\"I spent 39 talking to Eva, Kinsley on various topics during lunch hours.\",\"I spent 39 talking to Eva, Kinsley on various topics during lunch hours.\"\n13023,2018/08/02,\"I had oatmeal for breakfast with Lydia, Kinsley, Piper, Olivia, Hazel, Nora, Piper, Avery, Layla, Claire\",\"I had oatmeal for breakfast with Lydia, Kinsley, Piper, Olivia, Hazel, Nora, Piper, Avery, Layla, Claire\"\n13024,2018/08/02,I prepare steak for lunch.,I prepare steak for lunch.\n13025,2018/08/02,I prepare pasta for dinner.,I prepare pasta for dinner.\n13026,2018/08/02,I spent 31 talking to Avery on various topics late in the evening.,I spent 31 talking to Avery on various topics late in the evening.\n13027,2018/08/02,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n13028,2018/08/03,I did hiking on 2018/08/03.,I did hiking on 2018/08/03.\n13029,2018/08/03,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n13030,2018/08/03,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n13031,2018/08/03,I ate steak for dinner.,I ate steak for dinner.\n13032,2018/08/03,\"I talked to Nevaeh, Hazel, Kinsley, Olivia for 36 minutes in the early evening.\",\"I talked to Nevaeh, Hazel, Kinsley, Olivia for 36 minutes in the early evening.\"\n13033,2018/08/03,\"I spent 31 talking to Lydia, Eva, Kinsley, Layla on various topics during lunch hours.\",\"I spent 31 talking to Lydia, Eva, Kinsley, Layla on various topics during lunch hours.\"\n13034,2018/08/03,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n13035,2018/08/03,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n13036,2018/08/04,\"I had breakfast with Avery, Nora, Layla. I ate pancakes.\",\"I had breakfast with Avery, Nora, Layla. I ate pancakes.\"\n13037,2018/08/04,\"I had dinner with Willow, Avery, Jackson, Benjamin. I ate fish and chips.\",\"I had dinner with Willow, Avery, Jackson, Benjamin. I ate fish and chips.\"\n13038,2018/08/04,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n13039,2018/08/04,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n13040,2018/08/05,I did weight lifting on 2018/08/05.,I did weight lifting on 2018/08/05.\n13041,2018/08/05,\"I had oatmeal for breakfast with Piper, Piper, Claire, Avery, Nora\",\"I had oatmeal for breakfast with Piper, Piper, Claire, Avery, Nora\"\n13042,2018/08/05,I ate sandwich for dinner.,I ate sandwich for dinner.\n13043,2018/08/05,\"I talked to Nevaeh, Rylee, Olivia, Eva for 15 minutes late in the evening.\",\"I talked to Nevaeh, Rylee, Olivia, Eva for 15 minutes late in the evening.\"\n13044,2018/08/05,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n13045,2018/08/05,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n13046,2018/08/06,\"I had steak for lunch with Emily, Andrew, Kayden\",\"I had steak for lunch with Emily, Andrew, Kayden\"\n13047,2018/08/06,I prepare pasta for dinner.,I prepare pasta for dinner.\n13048,2018/08/06,\"I talked to Piper, Rylee for 52 minutes in the early evening.\",\"I talked to Piper, Rylee for 52 minutes in the early evening.\"\n13049,2018/08/06,I talked to Kinsley for 42 minutes in the early afternoon.,I talked to Kinsley for 42 minutes in the early afternoon.\n13050,2018/08/06,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n13051,2018/08/07,\"I went grocery shopping with Nora, Layla, Avery, Lydia, Eva, Olivia, Nevaeh, Rylee, Piper, Claire, Piper, Hazel, Kinsley. I bought some pears, bananas, guava, cherres, tea, soda, and shampoo\",\"I went grocery shopping with Nora, Layla, Avery, Lydia, Eva, Olivia, Nevaeh, Rylee, Piper, Claire, Piper, Hazel, Kinsley. I bought some pears, bananas, guava, cherres, tea, soda, and shampoo\"\n13052,2018/08/07,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n13053,2018/08/08,I did weight lifting on 2018/08/08.,I did weight lifting on 2018/08/08.\n13054,2018/08/08,\"I had fish and chips for lunch with Carter, Andrew, Emily\",\"I had fish and chips for lunch with Carter, Andrew, Emily\"\n13055,2018/08/08,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n13056,2018/08/09,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n13057,2018/08/09,I spent 28 minutes watching a documentary on TV today.,I spent 28 minutes watching a documentary on TV today.\n13058,2018/08/10,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n13059,2018/08/10,I prepare steak for dinner.,I prepare steak for dinner.\n13060,2018/08/10,\"I spent 40 talking to Kinsley, Hazel, Nevaeh, Olivia on various topics in the early afternoon.\",\"I spent 40 talking to Kinsley, Hazel, Nevaeh, Olivia on various topics in the early afternoon.\"\n13061,2018/08/10,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n13062,2018/08/11,I did running on 2018/08/11.,I did running on 2018/08/11.\n13063,2018/08/11,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n13064,2018/08/11,\"I talked to Eva, Kinsley, Nevaeh for 38 minutes in the early afternoon.\",\"I talked to Eva, Kinsley, Nevaeh for 38 minutes in the early afternoon.\"\n13065,2018/08/11,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n13066,2018/08/11,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n13067,2018/08/12,I spent some time learning a language on 2018/08/12.,I spent some time learning a language on 2018/08/12.\n13068,2018/08/12,I did HIIT on 2018/08/12.,I did HIIT on 2018/08/12.\n13069,2018/08/12,\"I had toast and cheese for breakfast with Carter, Kayden, Andrew\",\"I had toast and cheese for breakfast with Carter, Kayden, Andrew\"\n13070,2018/08/12,\"I had lunch with Piper, Nevaeh, Kinsley, Piper, Hazel, Nora, Rylee, Avery, Layla, Olivia, Claire, Lydia. I ate a burger.\",\"I had lunch with Piper, Nevaeh, Kinsley, Piper, Hazel, Nora, Rylee, Avery, Layla, Olivia, Claire, Lydia. I ate a burger.\"\n13071,2018/08/12,I prepare a burger for dinner.,I prepare a burger for dinner.\n13072,2018/08/13,\"I had eggs, sausages, and bread for breakfast with Rylee, Nora, Kinsley, Hazel, Layla, Claire, Piper, Lydia, Piper, Avery, Olivia, Eva\",\"I had eggs, sausages, and bread for breakfast with Rylee, Nora, Kinsley, Hazel, Layla, Claire, Piper, Lydia, Piper, Avery, Olivia, Eva\"\n13073,2018/08/13,I talked to Nevaeh for 51 minutes during lunch hours.,I talked to Nevaeh for 51 minutes during lunch hours.\n13074,2018/08/13,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n13075,2018/08/14,I did HIIT on 2018/08/14.,I did HIIT on 2018/08/14.\n13076,2018/08/14,I ate cereals for breakfast.,I ate cereals for breakfast.\n13077,2018/08/14,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n13078,2018/08/14,I watched news for 55 minutes on TV today.,I watched news for 55 minutes on TV today.\n13079,2018/08/15,I really enjoyed yoga on 2018/08/15,I really enjoyed yoga on 2018/08/15\n13080,2018/08/15,\"I went grocery shopping. I bought some peaches, guava, pineapples, apple juice, orange juice, coffee, and mouth wash, facial wash\",\"I went grocery shopping. I bought some peaches, guava, pineapples, apple juice, orange juice, coffee, and mouth wash, facial wash\"\n13081,2018/08/15,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n13082,2018/08/15,\"I had sandwich for dinner with Nora, Piper, Claire, Lydia, Olivia, Hazel, Nevaeh, Eva, Avery\",\"I had sandwich for dinner with Nora, Piper, Claire, Lydia, Olivia, Hazel, Nevaeh, Eva, Avery\"\n13083,2018/08/17,I did swimming on 2018/08/17.,I did swimming on 2018/08/17.\n13084,2018/08/17,\"I had cereals for breakfast with Kayden, Emily, Carter\",\"I had cereals for breakfast with Kayden, Emily, Carter\"\n13085,2018/08/17,I prepare a burger for lunch.,I prepare a burger for lunch.\n13086,2018/08/17,I talked to Claire for 20 minutes late in the evening.,I talked to Claire for 20 minutes late in the evening.\n13087,2018/08/17,\"I talked to Nevaeh, Lydia, Avery for 42 minutes late in the evening.\",\"I talked to Nevaeh, Lydia, Avery for 42 minutes late in the evening.\"\n13088,2018/08/17,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n13089,2018/08/18,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n13090,2018/08/18,\"I talked to Nevaeh, Layla for 27 minutes in the late afternoon.\",\"I talked to Nevaeh, Layla for 27 minutes in the late afternoon.\"\n13091,2018/08/18,I spent 16 minutes on social media today.,I spent 16 minutes on social media today.\n13092,2018/08/18,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n13093,2018/08/19,I really enjoyed gardening on 2018/08/19,I really enjoyed gardening on 2018/08/19\n13094,2018/08/19,\"I bought some bananas, pineapples, guava, apples, apple juice, chocolate milk, conditioner online.\",\"I bought some bananas, pineapples, guava, apples, apple juice, chocolate milk, conditioner online.\"\n13095,2018/08/19,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n13096,2018/08/20,\"I spent 36 talking to Layla, Nevaeh on various topics in the morning.\",\"I spent 36 talking to Layla, Nevaeh on various topics in the morning.\"\n13097,2018/08/20,\"I talked to Nevaeh, Lydia for 16 minutes in the early evening.\",\"I talked to Nevaeh, Lydia for 16 minutes in the early evening.\"\n13098,2018/08/20,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n13099,2018/08/21,I had indian food for lunch with Andrew,I had indian food for lunch with Andrew\n13100,2018/08/21,I prepare a burger for dinner.,I prepare a burger for dinner.\n13101,2018/08/21,\"I talked to Lydia, Avery, Hazel, Nevaeh for 12 minutes in the early evening.\",\"I talked to Lydia, Avery, Hazel, Nevaeh for 12 minutes in the early evening.\"\n13102,2018/08/22,\"I went grocery shopping with Kinsley, Lydia, Claire, Avery, Layla, Nevaeh, Hazel, Olivia. I bought some oranges, pineapple juice, tea, and paper towel, facial wash, shampoo, shaving cream\",\"I went grocery shopping with Kinsley, Lydia, Claire, Avery, Layla, Nevaeh, Hazel, Olivia. I bought some oranges, pineapple juice, tea, and paper towel, facial wash, shampoo, shaving cream\"\n13103,2018/08/22,\"I had breakfast with Andrew, Kayden, Carter. I ate cereals.\",\"I had breakfast with Andrew, Kayden, Carter. I ate cereals.\"\n13104,2018/08/22,I ate chinese food for lunch.,I ate chinese food for lunch.\n13105,2018/08/22,\"I had dinner with Kayden, Andrew, Carter. I ate fish and chips.\",\"I had dinner with Kayden, Andrew, Carter. I ate fish and chips.\"\n13106,2018/08/22,\"I spent 29 talking to Eva, Rylee, Avery, Lydia on various topics late in the evening.\",\"I spent 29 talking to Eva, Rylee, Avery, Lydia on various topics late in the evening.\"\n13107,2018/08/22,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n13108,2018/08/22,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n13109,2018/08/23,\"I bought some strawberries, mandarins, apples, oranges, soda, sports drinks, milk, pineapple juice, shampoo, facial wash online.\",\"I bought some strawberries, mandarins, apples, oranges, soda, sports drinks, milk, pineapple juice, shampoo, facial wash online.\"\n13110,2018/08/23,I ate pasta for lunch.,I ate pasta for lunch.\n13111,2018/08/23,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n13112,2018/08/23,I talked to Lydia for 44 minutes late in the evening.,I talked to Lydia for 44 minutes late in the evening.\n13113,2018/08/24,I did swimming on 2018/08/24.,I did swimming on 2018/08/24.\n13114,2018/08/24,I had lunch with Kayden. I ate steak.,I had lunch with Kayden. I ate steak.\n13115,2018/08/24,\"I spent 11 talking to Lydia, Nora on various topics in the late afternoon.\",\"I spent 11 talking to Lydia, Nora on various topics in the late afternoon.\"\n13116,2018/08/24,I watched news for 36 minutes on TV today.,I watched news for 36 minutes on TV today.\n13117,2018/08/25,\"I had breakfast with Willow, Avery, Benjamin. I ate cereals.\",\"I had breakfast with Willow, Avery, Benjamin. I ate cereals.\"\n13118,2018/08/25,I ate steak for lunch.,I ate steak for lunch.\n13119,2018/08/25,\"I talked to Kinsley, Rylee for 28 minutes in the early afternoon.\",\"I talked to Kinsley, Rylee for 28 minutes in the early afternoon.\"\n13120,2018/08/25,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n13121,2018/08/26,I ate pasta for lunch.,I ate pasta for lunch.\n13122,2018/08/26,\"I had pasta for dinner with Emily, Andrew\",\"I had pasta for dinner with Emily, Andrew\"\n13123,2018/08/26,\"I talked to Eva, Nora, Piper for 49 minutes in the early evening.\",\"I talked to Eva, Nora, Piper for 49 minutes in the early evening.\"\n13124,2018/08/26,\"I talked to Layla, Hazel, Claire, Avery for 18 minutes in the morning.\",\"I talked to Layla, Hazel, Claire, Avery for 18 minutes in the morning.\"\n13125,2018/08/26,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n13126,2018/08/27,\"I went grocery shopping with Hazel, Nevaeh, Rylee, Layla. I bought some oranges, strawberries, raspberries, sports drinks, soda, tea, and facial wash\",\"I went grocery shopping with Hazel, Nevaeh, Rylee, Layla. I bought some oranges, strawberries, raspberries, sports drinks, soda, tea, and facial wash\"\n13127,2018/08/27,I ate cereals for breakfast.,I ate cereals for breakfast.\n13128,2018/08/27,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n13129,2018/08/28,I prepare sushi for lunch.,I prepare sushi for lunch.\n13130,2018/08/28,\"I spent 27 talking to Rylee, Layla, Claire on various topics in the early evening.\",\"I spent 27 talking to Rylee, Layla, Claire on various topics in the early evening.\"\n13131,2018/08/28,I watched a documentary for 41 minutes on TV today.,I watched a documentary for 41 minutes on TV today.\n13132,2018/08/29,\"I had breakfast with Nora, Lydia, Piper, Kinsley, Rylee, Nevaeh, Claire, Olivia, Hazel, Layla. I ate oatmeal.\",\"I had breakfast with Nora, Lydia, Piper, Kinsley, Rylee, Nevaeh, Claire, Olivia, Hazel, Layla. I ate oatmeal.\"\n13133,2018/08/29,\"I had dinner with Kayden, Emily. I ate fish and chips.\",\"I had dinner with Kayden, Emily. I ate fish and chips.\"\n13134,2018/08/29,\"I spent 42 talking to Layla, Piper, Lydia on various topics late in the evening.\",\"I spent 42 talking to Layla, Piper, Lydia on various topics late in the evening.\"\n13135,2018/08/30,I had toast and cheese for breakfast with Jackson,I had toast and cheese for breakfast with Jackson\n13136,2018/08/30,I ate indian food for lunch.,I ate indian food for lunch.\n13137,2018/08/30,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n13138,2018/08/31,I went on a date with Chloe on 2018/08/31 at a restaurant,I went on a date with Chloe on 2018/08/31 at a restaurant\n13139,2018/08/31,I did weight lifting on 2018/08/31.,I did weight lifting on 2018/08/31.\n13140,2018/08/31,I talked to Eva for 54 minutes in the early afternoon.,I talked to Eva for 54 minutes in the early afternoon.\n13141,2018/08/31,I talked to Hazel for 18 minutes in the early evening.,I talked to Hazel for 18 minutes in the early evening.\n13142,2018/08/31,I watched a movie for 20 minutes on TV today.,I watched a movie for 20 minutes on TV today.\n13143,2018/09/01,\"I bought some mandarins, bananas, coffee, conditioner online.\",\"I bought some mandarins, bananas, coffee, conditioner online.\"\n13144,2018/09/01,I did running on 2018/09/01.,I did running on 2018/09/01.\n13145,2018/09/01,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n13146,2018/09/01,I prepare pasta for dinner.,I prepare pasta for dinner.\n13147,2018/09/01,I spent 42 talking to Kinsley on various topics in the early afternoon.,I spent 42 talking to Kinsley on various topics in the early afternoon.\n13148,2018/09/01,I spent 17 minutes reading news today.,I spent 17 minutes reading news today.\n13149,2018/09/02,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n13150,2018/09/02,I prepare sushi for lunch.,I prepare sushi for lunch.\n13151,2018/09/02,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n13152,2018/09/03,I did running on 2018/09/03.,I did running on 2018/09/03.\n13153,2018/09/03,\"I had lunch with Jackson, Willow. I ate sushi.\",\"I had lunch with Jackson, Willow. I ate sushi.\"\n13154,2018/09/03,\"I spent 42 talking to Piper, Layla, Piper, Lydia on various topics in the late afternoon.\",\"I spent 42 talking to Piper, Layla, Piper, Lydia on various topics in the late afternoon.\"\n13155,2018/09/03,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n13156,2018/09/04,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n13157,2018/09/04,\"I had lunch with Emily, Kayden, Andrew. I ate a burger.\",\"I had lunch with Emily, Kayden, Andrew. I ate a burger.\"\n13158,2018/09/04,I prepare steak for dinner.,I prepare steak for dinner.\n13159,2018/09/04,\"I spent 36 talking to Piper, Rylee on various topics in the late afternoon.\",\"I spent 36 talking to Piper, Rylee on various topics in the late afternoon.\"\n13160,2018/09/04,I spent 8 minutes reading social media today.,I spent 8 minutes reading social media today.\n13161,2018/09/05,\"On 2018/09/05, I took Hunter on a date to a boba shop\",\"On 2018/09/05, I took Hunter on a date to a boba shop\"\n13162,2018/09/05,I ate sushi for lunch.,I ate sushi for lunch.\n13163,2018/09/05,\"I had chinese food for dinner with Avery, Jackson\",\"I had chinese food for dinner with Avery, Jackson\"\n13164,2018/09/06,\"I had breakfast with Carter, Emily. I ate pancakes.\",\"I had breakfast with Carter, Emily. I ate pancakes.\"\n13165,2018/09/06,\"I spent 23 talking to Layla, Rylee on various topics in the late afternoon.\",\"I spent 23 talking to Layla, Rylee on various topics in the late afternoon.\"\n13166,2018/09/07,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n13167,2018/09/07,I prepare a burger for lunch.,I prepare a burger for lunch.\n13168,2018/09/07,I ate sushi for dinner.,I ate sushi for dinner.\n13169,2018/09/07,\"I talked to Hazel, Avery, Kinsley for 39 minutes during lunch hours.\",\"I talked to Hazel, Avery, Kinsley for 39 minutes during lunch hours.\"\n13170,2018/09/07,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n13171,2018/09/08,I had dinner. I ate steak.,I had dinner. I ate steak.\n13172,2018/09/08,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n13173,2018/09/09,\"I went grocery shopping. I bought some mangos, mandarins, oranges, blueberries, mineral water, and facial wash, conditioner, mouth wash\",\"I went grocery shopping. I bought some mangos, mandarins, oranges, blueberries, mineral water, and facial wash, conditioner, mouth wash\"\n13174,2018/09/09,I did biking on 2018/09/09.,I did biking on 2018/09/09.\n13175,2018/09/09,I had dinner with Layla. I ate indian food.,I had dinner with Layla. I ate indian food.\n13176,2018/09/09,\"I spent 31 talking to Rylee, Kinsley, Piper, Eva on various topics in the morning.\",\"I spent 31 talking to Rylee, Kinsley, Piper, Eva on various topics in the morning.\"\n13177,2018/09/09,\"I spent 28 talking to Olivia, Layla, Hazel, Nora on various topics during lunch hours.\",\"I spent 28 talking to Olivia, Layla, Hazel, Nora on various topics during lunch hours.\"\n13178,2018/09/09,I watched a tv series for 49 minutes on TV today.,I watched a tv series for 49 minutes on TV today.\n13179,2018/09/10,I did hiking on 2018/09/10.,I did hiking on 2018/09/10.\n13180,2018/09/10,I ate chinese food for dinner.,I ate chinese food for dinner.\n13181,2018/09/10,\"I talked to Rylee, Claire for 39 minutes in the early evening.\",\"I talked to Rylee, Claire for 39 minutes in the early evening.\"\n13182,2018/09/10,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n13183,2018/09/11,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n13184,2018/09/11,\"I had pasta for dinner with Carter, Andrew, Kayden, Emily\",\"I had pasta for dinner with Carter, Andrew, Kayden, Emily\"\n13185,2018/09/12,I did HIIT on 2018/09/12.,I did HIIT on 2018/09/12.\n13186,2018/09/12,\"I had cereals for breakfast with Nora, Avery, Olivia, Eva, Hazel, Piper, Claire, Nevaeh, Piper, Lydia\",\"I had cereals for breakfast with Nora, Avery, Olivia, Eva, Hazel, Piper, Claire, Nevaeh, Piper, Lydia\"\n13187,2018/09/12,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n13188,2018/09/13,\"On 2018/09/13, I took Luna on a date to a park\",\"On 2018/09/13, I took Luna on a date to a park\"\n13189,2018/09/13,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n13190,2018/09/13,\"I had lunch with Andrew, Kayden, Carter. I ate steak.\",\"I had lunch with Andrew, Kayden, Carter. I ate steak.\"\n13191,2018/09/14,\"I went grocery shopping. I bought some peaches, blueberries, raspberries, orange juice, and toilet paper, shaving cream, mouth wash\",\"I went grocery shopping. I bought some peaches, blueberries, raspberries, orange juice, and toilet paper, shaving cream, mouth wash\"\n13192,2018/09/14,I ate chinese food for dinner.,I ate chinese food for dinner.\n13193,2018/09/14,I spent 52 talking to Nora on various topics in the late afternoon.,I spent 52 talking to Nora on various topics in the late afternoon.\n13194,2018/09/14,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n13195,2018/09/14,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n13196,2018/09/15,I did biking on 2018/09/15.,I did biking on 2018/09/15.\n13197,2018/09/15,\"I had breakfast with Jackson. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson. I ate eggs, sausages, and bread.\"\n13198,2018/09/15,I ate chinese food for lunch.,I ate chinese food for lunch.\n13199,2018/09/16,I did hiking on 2018/09/16.,I did hiking on 2018/09/16.\n13200,2018/09/16,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n13201,2018/09/16,I had sushi for dinner with Carter,I had sushi for dinner with Carter\n13202,2018/09/16,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n13203,2018/09/17,I spent time yoga on 2018/09/17 with Carter.,I spent time yoga on 2018/09/17 with Carter.\n13204,2018/09/17,I did swimming on 2018/09/17.,I did swimming on 2018/09/17.\n13205,2018/09/17,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n13206,2018/09/17,I ate steak for lunch.,I ate steak for lunch.\n13207,2018/09/17,\"I had tacos for dinner with Willow, Avery, Benjamin\",\"I had tacos for dinner with Willow, Avery, Benjamin\"\n13208,2018/09/17,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n13209,2018/09/18,I did weight lifting on 2018/09/18.,I did weight lifting on 2018/09/18.\n13210,2018/09/18,\"I had oatmeal for breakfast with Andrew, Carter, Kayden\",\"I had oatmeal for breakfast with Andrew, Carter, Kayden\"\n13211,2018/09/18,I ate chinese food for lunch.,I ate chinese food for lunch.\n13212,2018/09/18,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n13213,2018/09/18,\"I talked to Lydia, Kinsley for 22 minutes in the morning.\",\"I talked to Lydia, Kinsley for 22 minutes in the morning.\"\n13214,2018/09/18,I talked to Eva for 31 minutes in the late afternoon.,I talked to Eva for 31 minutes in the late afternoon.\n13215,2018/09/19,I did hiking on 2018/09/19.,I did hiking on 2018/09/19.\n13216,2018/09/19,\"I had breakfast with Andrew, Carter, Kayden. I ate cereals.\",\"I had breakfast with Andrew, Carter, Kayden. I ate cereals.\"\n13217,2018/09/19,\"I had lunch with Carter, Emily, Kayden. I ate sandwich.\",\"I had lunch with Carter, Emily, Kayden. I ate sandwich.\"\n13218,2018/09/19,\"I spent 30 talking to Layla, Kinsley, Lydia, Olivia on various topics in the morning.\",\"I spent 30 talking to Layla, Kinsley, Lydia, Olivia on various topics in the morning.\"\n13219,2018/09/19,I talked to Layla for 40 minutes in the early afternoon.,I talked to Layla for 40 minutes in the early afternoon.\n13220,2018/09/19,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n13221,2018/09/19,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n13222,2018/09/20,I went on a date with Maya on 2018/09/20 at a restaurant,I went on a date with Maya on 2018/09/20 at a restaurant\n13223,2018/09/20,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n13224,2018/09/20,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n13225,2018/09/20,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n13226,2018/09/21,I did biking on 2018/09/21.,I did biking on 2018/09/21.\n13227,2018/09/21,\"I spent 52 talking to Nevaeh, Olivia, Kinsley, Lydia on various topics in the morning.\",\"I spent 52 talking to Nevaeh, Olivia, Kinsley, Lydia on various topics in the morning.\"\n13228,2018/09/21,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n13229,2018/09/21,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n13230,2018/09/22,my parents for their and I went for an annual dental cleaning and checkup at the private clinic on 2018/09/22.,my parents for their and I went for an annual dental cleaning and checkup at the private clinic on 2018/09/22.\n13231,2018/09/22,I did hiking on 2018/09/22.,I did hiking on 2018/09/22.\n13232,2018/09/22,I prepare a burger for lunch.,I prepare a burger for lunch.\n13233,2018/09/22,\"I talked to Avery, Claire, Eva, Hazel for 41 minutes in the late afternoon.\",\"I talked to Avery, Claire, Eva, Hazel for 41 minutes in the late afternoon.\"\n13234,2018/09/22,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n13235,2018/09/22,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n13236,2018/09/23,\"I bought some watermelons, pears, pineapples, chocolate milk, sports drinks, soda, apple juice, mouth wash, toothpaste from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\",\"I bought some watermelons, pears, pineapples, chocolate milk, sports drinks, soda, apple juice, mouth wash, toothpaste from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\"\n13237,2018/09/23,I did running on 2018/09/23.,I did running on 2018/09/23.\n13238,2018/09/23,I ate indian food for lunch.,I ate indian food for lunch.\n13239,2018/09/23,\"I spent 53 talking to Lydia, Eva, Rylee on various topics late in the evening.\",\"I spent 53 talking to Lydia, Eva, Rylee on various topics late in the evening.\"\n13240,2018/09/23,\"I spent 41 talking to Rylee, Nevaeh, Eva, Lydia on various topics late in the evening.\",\"I spent 41 talking to Rylee, Nevaeh, Eva, Lydia on various topics late in the evening.\"\n13241,2018/09/23,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n13242,2018/09/24,I did biking on 2018/09/24.,I did biking on 2018/09/24.\n13243,2018/09/24,I had breakfast with Emily. I ate pancakes.,I had breakfast with Emily. I ate pancakes.\n13244,2018/09/24,I prepare steak for lunch.,I prepare steak for lunch.\n13245,2018/09/24,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n13246,2018/09/25,\"I had eggs, sausages, and bread for breakfast with Nevaeh\",\"I had eggs, sausages, and bread for breakfast with Nevaeh\"\n13247,2018/09/25,\"I talked to Piper, Piper for 43 minutes during lunch hours.\",\"I talked to Piper, Piper for 43 minutes during lunch hours.\"\n13248,2018/09/25,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n13249,2018/09/26,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n13250,2018/09/26,I prepare sushi for dinner.,I prepare sushi for dinner.\n13251,2018/09/26,I spent 13 talking to Lydia on various topics in the early evening.,I spent 13 talking to Lydia on various topics in the early evening.\n13252,2018/09/26,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n13253,2018/09/27,I did weight lifting on 2018/09/27.,I did weight lifting on 2018/09/27.\n13254,2018/09/27,\"I had indian food for lunch with Willow, Avery, Benjamin, Jackson\",\"I had indian food for lunch with Willow, Avery, Benjamin, Jackson\"\n13255,2018/09/27,I had dinner. I ate steak.,I had dinner. I ate steak.\n13256,2018/09/27,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n13257,2018/09/28,I did biking on 2018/09/28.,I did biking on 2018/09/28.\n13258,2018/09/28,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n13259,2018/09/28,\"I had indian food for dinner with Emily, Carter, Andrew, Kayden\",\"I had indian food for dinner with Emily, Carter, Andrew, Kayden\"\n13260,2018/09/28,\"I talked to Nevaeh, Avery, Piper for 49 minutes late in the evening.\",\"I talked to Nevaeh, Avery, Piper for 49 minutes late in the evening.\"\n13261,2018/09/28,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n13262,2018/09/29,\"On 2018/09/29, I took Isla on a date to a park\",\"On 2018/09/29, I took Isla on a date to a park\"\n13263,2018/09/29,I did swimming on 2018/09/29.,I did swimming on 2018/09/29.\n13264,2018/09/29,\"I spent 49 talking to Olivia, Piper, Layla, Avery on various topics in the morning.\",\"I spent 49 talking to Olivia, Piper, Layla, Avery on various topics in the morning.\"\n13265,2018/09/29,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n13266,2018/09/30,I did running on 2018/09/30.,I did running on 2018/09/30.\n13267,2018/09/30,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n13268,2018/09/30,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n13269,2018/09/30,I watched a tv series for 27 minutes on TV today.,I watched a tv series for 27 minutes on TV today.\n13270,2018/10/01,I did weight lifting on 2018/10/01.,I did weight lifting on 2018/10/01.\n13271,2018/10/01,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n13272,2018/10/01,\"I had sushi for lunch with Emily, Andrew, Kayden, Carter\",\"I had sushi for lunch with Emily, Andrew, Kayden, Carter\"\n13273,2018/10/01,I ate pasta for dinner.,I ate pasta for dinner.\n13274,2018/10/01,\"I talked to Hazel, Piper, Avery for 33 minutes during lunch hours.\",\"I talked to Hazel, Piper, Avery for 33 minutes during lunch hours.\"\n13275,2018/10/01,I talked to Rylee for 42 minutes in the morning.,I talked to Rylee for 42 minutes in the morning.\n13276,2018/10/01,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n13277,2018/10/01,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n13278,2018/10/02,\"I went grocery shopping with Andrew. I bought some peaches, apple juice, pineapple juice, orange juice, and paper towel\",\"I went grocery shopping with Andrew. I bought some peaches, apple juice, pineapple juice, orange juice, and paper towel\"\n13279,2018/10/02,I did hiking on 2018/10/02.,I did hiking on 2018/10/02.\n13280,2018/10/03,I did running on 2018/10/03.,I did running on 2018/10/03.\n13281,2018/10/03,\"I talked to Avery, Olivia, Claire for 53 minutes late in the evening.\",\"I talked to Avery, Olivia, Claire for 53 minutes late in the evening.\"\n13282,2018/10/03,I watched news for 7 minutes on TV today.,I watched news for 7 minutes on TV today.\n13283,2018/10/04,I ate chinese food for dinner.,I ate chinese food for dinner.\n13284,2018/10/04,I talked to Claire for 8 minutes in the late afternoon.,I talked to Claire for 8 minutes in the late afternoon.\n13285,2018/10/04,\"I spent 37 talking to Olivia, Piper, Avery on various topics late in the evening.\",\"I spent 37 talking to Olivia, Piper, Avery on various topics late in the evening.\"\n13286,2018/10/04,I spent 31 minutes reading social media today.,I spent 31 minutes reading social media today.\n13287,2018/10/05,\"I bought some mangos, peaches, pineapples, bananas, tea, guava juice, body lotion, toothpaste, toothbrush, shaving cream from the grocery store. I saw Olivia at the grocery store.\",\"I bought some mangos, peaches, pineapples, bananas, tea, guava juice, body lotion, toothpaste, toothbrush, shaving cream from the grocery store. I saw Olivia at the grocery store.\"\n13288,2018/10/05,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n13289,2018/10/06,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n13290,2018/10/06,I ate steak for dinner.,I ate steak for dinner.\n13291,2018/10/06,\"I spent 9 talking to Nevaeh, Hazel on various topics late in the evening.\",\"I spent 9 talking to Nevaeh, Hazel on various topics late in the evening.\"\n13292,2018/10/06,I spent 16 minutes watching news on TV today.,I spent 16 minutes watching news on TV today.\n13293,2018/10/07,I went on a date with Elena on 2018/10/07 at a park,I went on a date with Elena on 2018/10/07 at a park\n13294,2018/10/07,\"I had tacos for lunch with Emily, Andrew, Carter\",\"I had tacos for lunch with Emily, Andrew, Carter\"\n13295,2018/10/07,I ate a burger for dinner.,I ate a burger for dinner.\n13296,2018/10/07,\"I talked to Rylee, Avery, Layla for 24 minutes in the early afternoon.\",\"I talked to Rylee, Avery, Layla for 24 minutes in the early afternoon.\"\n13297,2018/10/07,\"I spent 22 talking to Nevaeh, Piper, Piper on various topics late in the evening.\",\"I spent 22 talking to Nevaeh, Piper, Piper on various topics late in the evening.\"\n13298,2018/10/08,\"I went grocery shopping. I bought some guava, apples, clementines, peaches, pineapple juice, and facial wash\",\"I went grocery shopping. I bought some guava, apples, clementines, peaches, pineapple juice, and facial wash\"\n13299,2018/10/08,I did biking on 2018/10/08.,I did biking on 2018/10/08.\n13300,2018/10/08,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n13301,2018/10/08,I spent 43 talking to Rylee on various topics in the early afternoon.,I spent 43 talking to Rylee on various topics in the early afternoon.\n13302,2018/10/08,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n13303,2018/10/09,I did swimming on 2018/10/09.,I did swimming on 2018/10/09.\n13304,2018/10/09,\"I had peanut-butter-jam for breakfast with Andrew, Carter, Emily\",\"I had peanut-butter-jam for breakfast with Andrew, Carter, Emily\"\n13305,2018/10/09,I ate sushi for lunch.,I ate sushi for lunch.\n13306,2018/10/09,I prepare steak for dinner.,I prepare steak for dinner.\n13307,2018/10/10,\"On 2018/10/10, I took Evelyn on a date to a coffee Shop\",\"On 2018/10/10, I took Evelyn on a date to a coffee Shop\"\n13308,2018/10/10,I spent some time learning a language on 2018/10/10.,I spent some time learning a language on 2018/10/10.\n13309,2018/10/10,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n13310,2018/10/10,I spent 9 talking to Claire on various topics during lunch hours.,I spent 9 talking to Claire on various topics during lunch hours.\n13311,2018/10/11,\"I had pancakes for breakfast with Emily, Kayden\",\"I had pancakes for breakfast with Emily, Kayden\"\n13312,2018/10/11,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n13313,2018/10/11,\"I spent 47 talking to Hazel, Claire on various topics in the early afternoon.\",\"I spent 47 talking to Hazel, Claire on various topics in the early afternoon.\"\n13314,2018/10/11,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n13315,2018/10/12,I did weight lifting on 2018/10/12.,I did weight lifting on 2018/10/12.\n13316,2018/10/12,\"I had oatmeal for breakfast with Andrew, Kayden, Emily\",\"I had oatmeal for breakfast with Andrew, Kayden, Emily\"\n13317,2018/10/12,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n13318,2018/10/12,\"I had indian food for dinner with Andrew, Emily, Carter\",\"I had indian food for dinner with Andrew, Emily, Carter\"\n13319,2018/10/12,\"I spent 52 talking to Claire, Lydia on various topics late in the evening.\",\"I spent 52 talking to Claire, Lydia on various topics late in the evening.\"\n13320,2018/10/12,I talked to Eva for 41 minutes in the early afternoon.,I talked to Eva for 41 minutes in the early afternoon.\n13321,2018/10/12,I spent 29 minutes reading news today.,I spent 29 minutes reading news today.\n13322,2018/10/12,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n13323,2018/10/14,\"On 2018/10/14, I took Josiah on a date to a coffee Shop\",\"On 2018/10/14, I took Josiah on a date to a coffee Shop\"\n13324,2018/10/14,I did swimming on 2018/10/14.,I did swimming on 2018/10/14.\n13325,2018/10/14,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n13326,2018/10/15,I really enjoyed yoga on 2018/10/15,I really enjoyed yoga on 2018/10/15\n13327,2018/10/15,\"I went grocery shopping with Nora, Avery. I bought some blackberries, clementines, mango juice, mineral water, and paper towel\",\"I went grocery shopping with Nora, Avery. I bought some blackberries, clementines, mango juice, mineral water, and paper towel\"\n13328,2018/10/15,I did HIIT on 2018/10/15.,I did HIIT on 2018/10/15.\n13329,2018/10/15,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n13330,2018/10/15,I talked to Layla for 16 minutes during lunch hours.,I talked to Layla for 16 minutes during lunch hours.\n13331,2018/10/15,I watched a movie for 49 minutes on TV today.,I watched a movie for 49 minutes on TV today.\n13332,2018/10/16,I did running on 2018/10/16.,I did running on 2018/10/16.\n13333,2018/10/16,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n13334,2018/10/16,I ate sandwich for dinner.,I ate sandwich for dinner.\n13335,2018/10/16,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n13336,2018/10/17,\"On 2018/10/17, I took Mason on a date to a boba shop\",\"On 2018/10/17, I took Mason on a date to a boba shop\"\n13337,2018/10/17,I did hiking on 2018/10/17.,I did hiking on 2018/10/17.\n13338,2018/10/17,\"I had breakfast with Emily, Andrew, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Emily, Andrew, Kayden. I ate peanut-butter-jam.\"\n13339,2018/10/17,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n13340,2018/10/17,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n13341,2018/10/18,I had pancakes for breakfast with Kayden,I had pancakes for breakfast with Kayden\n13342,2018/10/18,\"I had tacos for dinner with Carter, Emily, Kayden, Andrew\",\"I had tacos for dinner with Carter, Emily, Kayden, Andrew\"\n13343,2018/10/18,\"I spent 25 talking to Rylee, Kinsley on various topics in the late afternoon.\",\"I spent 25 talking to Rylee, Kinsley on various topics in the late afternoon.\"\n13344,2018/10/19,\"I had breakfast with Benjamin, Jackson. I ate cereals.\",\"I had breakfast with Benjamin, Jackson. I ate cereals.\"\n13345,2018/10/19,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n13346,2018/10/19,I had pasta for dinner with Jackson,I had pasta for dinner with Jackson\n13347,2018/10/19,\"I talked to Nevaeh, Kinsley, Olivia for 42 minutes in the early afternoon.\",\"I talked to Nevaeh, Kinsley, Olivia for 42 minutes in the early afternoon.\"\n13348,2018/10/19,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n13349,2018/10/20,\"I went grocery shopping. I bought some apricots, nectarines, coffee, tea, pineapple juice, and toothpaste, mouth wash, toothbrush, toilet paper\",\"I went grocery shopping. I bought some apricots, nectarines, coffee, tea, pineapple juice, and toothpaste, mouth wash, toothbrush, toilet paper\"\n13350,2018/10/20,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n13351,2018/10/20,I talked to Hazel for 39 minutes in the late afternoon.,I talked to Hazel for 39 minutes in the late afternoon.\n13352,2018/10/20,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n13353,2018/10/21,I ate steak for lunch.,I ate steak for lunch.\n13354,2018/10/21,\"I had dinner with Kayden, Andrew. I ate fish and chips.\",\"I had dinner with Kayden, Andrew. I ate fish and chips.\"\n13355,2018/10/21,\"I spent 50 talking to Kinsley, Piper, Hazel on various topics in the late afternoon.\",\"I spent 50 talking to Kinsley, Piper, Hazel on various topics in the late afternoon.\"\n13356,2018/10/21,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n13357,2018/10/21,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n13358,2018/10/22,\"I had tacos for dinner with Andrew, Kayden, Emily\",\"I had tacos for dinner with Andrew, Kayden, Emily\"\n13359,2018/10/22,I talked to Olivia for 33 minutes in the early afternoon.,I talked to Olivia for 33 minutes in the early afternoon.\n13360,2018/10/22,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n13361,2018/10/23,I did HIIT on 2018/10/23.,I did HIIT on 2018/10/23.\n13362,2018/10/23,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n13363,2018/10/23,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n13364,2018/10/23,\"I talked to Piper, Avery for 29 minutes in the morning.\",\"I talked to Piper, Avery for 29 minutes in the morning.\"\n13365,2018/10/23,\"I talked to Rylee, Layla for 22 minutes during lunch hours.\",\"I talked to Rylee, Layla for 22 minutes during lunch hours.\"\n13366,2018/10/24,I really enjoyed learning a language on 2018/10/24,I really enjoyed learning a language on 2018/10/24\n13367,2018/10/24,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n13368,2018/10/24,\"I talked to Hazel, Avery, Nevaeh for 11 minutes during lunch hours.\",\"I talked to Hazel, Avery, Nevaeh for 11 minutes during lunch hours.\"\n13369,2018/10/24,I spent 44 talking to Hazel on various topics in the early afternoon.,I spent 44 talking to Hazel on various topics in the early afternoon.\n13370,2018/10/24,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n13371,2018/10/25,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n13372,2018/10/25,I ate pasta for lunch.,I ate pasta for lunch.\n13373,2018/10/26,I did weight lifting on 2018/10/26.,I did weight lifting on 2018/10/26.\n13374,2018/10/27,I did swimming on 2018/10/27.,I did swimming on 2018/10/27.\n13375,2018/10/27,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n13376,2018/10/28,I prepare a burger for dinner.,I prepare a burger for dinner.\n13377,2018/10/28,\"I spent 43 talking to Rylee, Avery on various topics in the morning.\",\"I spent 43 talking to Rylee, Avery on various topics in the morning.\"\n13378,2018/10/29,I did running on 2018/10/29.,I did running on 2018/10/29.\n13379,2018/10/29,I had lunch with Jackson. I ate a burger.,I had lunch with Jackson. I ate a burger.\n13380,2018/10/29,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n13381,2018/10/29,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n13382,2018/10/31,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n13383,2018/10/31,\"I talked to Nora, Lydia for 6 minutes in the early evening.\",\"I talked to Nora, Lydia for 6 minutes in the early evening.\"\n13384,2018/10/31,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n13385,2018/11/01,\"I went grocery shopping. I bought some mangos, raspberries, blueberries, cherres, soda, coffee, sports drinks, milk, and toilet paper\",\"I went grocery shopping. I bought some mangos, raspberries, blueberries, cherres, soda, coffee, sports drinks, milk, and toilet paper\"\n13386,2018/11/01,\"I spent 44 talking to Nevaeh, Rylee, Nora, Olivia on various topics in the morning.\",\"I spent 44 talking to Nevaeh, Rylee, Nora, Olivia on various topics in the morning.\"\n13387,2018/11/01,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n13388,2018/11/02,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n13389,2018/11/02,\"I talked to Eva, Layla, Claire, Kinsley for 6 minutes during lunch hours.\",\"I talked to Eva, Layla, Claire, Kinsley for 6 minutes during lunch hours.\"\n13390,2018/11/03,\"I spent time learning a language on 2018/11/03 with Rylee, Claire, Nora.\",\"I spent time learning a language on 2018/11/03 with Rylee, Claire, Nora.\"\n13391,2018/11/03,I did weight lifting on 2018/11/03.,I did weight lifting on 2018/11/03.\n13392,2018/11/03,\"I had eggs, sausages, and bread for breakfast with Avery\",\"I had eggs, sausages, and bread for breakfast with Avery\"\n13393,2018/11/03,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n13394,2018/11/03,\"I talked to Nevaeh, Olivia, Rylee for 9 minutes late in the evening.\",\"I talked to Nevaeh, Olivia, Rylee for 9 minutes late in the evening.\"\n13395,2018/11/03,I watched a documentary for 8 minutes on TV today.,I watched a documentary for 8 minutes on TV today.\n13396,2018/11/04,I did weight lifting on 2018/11/04.,I did weight lifting on 2018/11/04.\n13397,2018/11/04,\"I spent 39 talking to Lydia, Claire, Kinsley, Piper on various topics in the early afternoon.\",\"I spent 39 talking to Lydia, Claire, Kinsley, Piper on various topics in the early afternoon.\"\n13398,2018/11/04,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n13399,2018/11/04,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n13400,2018/11/06,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n13401,2018/11/06,\"I had steak for lunch with Carter, Emily, Andrew\",\"I had steak for lunch with Carter, Emily, Andrew\"\n13402,2018/11/06,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n13403,2018/11/07,I really enjoyed yoga on 2018/11/07,I really enjoyed yoga on 2018/11/07\n13404,2018/11/07,I did hiking on 2018/11/07.,I did hiking on 2018/11/07.\n13405,2018/11/07,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n13406,2018/11/07,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n13407,2018/11/07,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n13408,2018/11/08,I did weight lifting on 2018/11/08.,I did weight lifting on 2018/11/08.\n13409,2018/11/08,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n13410,2018/11/08,\"I had chinese food for dinner with Emily, Andrew, Kayden, Carter\",\"I had chinese food for dinner with Emily, Andrew, Kayden, Carter\"\n13411,2018/11/08,\"I talked to Lydia, Rylee for 16 minutes late in the evening.\",\"I talked to Lydia, Rylee for 16 minutes late in the evening.\"\n13412,2018/11/09,I did swimming on 2018/11/09.,I did swimming on 2018/11/09.\n13413,2018/11/09,\"I had pancakes for breakfast with Carter, Kayden, Emily\",\"I had pancakes for breakfast with Carter, Kayden, Emily\"\n13414,2018/11/09,\"I had tacos for lunch with Rylee, Eva, Piper, Hazel, Kinsley, Olivia, Lydia, Nora, Layla, Nevaeh\",\"I had tacos for lunch with Rylee, Eva, Piper, Hazel, Kinsley, Olivia, Lydia, Nora, Layla, Nevaeh\"\n13415,2018/11/09,I talked to Piper for 39 minutes during lunch hours.,I talked to Piper for 39 minutes during lunch hours.\n13416,2018/11/09,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n13417,2018/11/10,\"I spent time working out on 2018/11/10 with Jackson, Benjamin, Avery.\",\"I spent time working out on 2018/11/10 with Jackson, Benjamin, Avery.\"\n13418,2018/11/10,\"I went grocery shopping with Hazel, Piper, Kinsley, Nora. I bought some raspberries, chocolate milk, orange juice, sports drinks, milk, and toothpaste, body lotion, toilet paper\",\"I went grocery shopping with Hazel, Piper, Kinsley, Nora. I bought some raspberries, chocolate milk, orange juice, sports drinks, milk, and toothpaste, body lotion, toilet paper\"\n13419,2018/11/10,I did hiking on 2018/11/10.,I did hiking on 2018/11/10.\n13420,2018/11/10,I prepare indian food for lunch.,I prepare indian food for lunch.\n13421,2018/11/10,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n13422,2018/11/11,I did biking on 2018/11/11.,I did biking on 2018/11/11.\n13423,2018/11/11,I had breakfast with Nora. I ate cereals.,I had breakfast with Nora. I ate cereals.\n13424,2018/11/11,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n13425,2018/11/11,\"I talked to Lydia, Nora for 24 minutes during lunch hours.\",\"I talked to Lydia, Nora for 24 minutes during lunch hours.\"\n13426,2018/11/11,I spent 39 minutes reading news today.,I spent 39 minutes reading news today.\n13427,2018/11/12,I ate a burger for lunch.,I ate a burger for lunch.\n13428,2018/11/12,I talked to Hazel for 21 minutes during lunch hours.,I talked to Hazel for 21 minutes during lunch hours.\n13429,2018/11/13,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n13430,2018/11/13,I spent 39 minutes watching a tv series on TV today.,I spent 39 minutes watching a tv series on TV today.\n13431,2018/11/14,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n13432,2018/11/14,I prepare pasta for dinner.,I prepare pasta for dinner.\n13433,2018/11/14,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n13434,2018/11/14,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n13435,2018/11/15,I did HIIT on 2018/11/15.,I did HIIT on 2018/11/15.\n13436,2018/11/15,\"I had breakfast with Kinsley, Rylee, Nora, Avery, Eva, Hazel, Piper, Nevaeh. I ate pancakes.\",\"I had breakfast with Kinsley, Rylee, Nora, Avery, Eva, Hazel, Piper, Nevaeh. I ate pancakes.\"\n13437,2018/11/15,\"I had dinner with Benjamin, Avery, Jackson. I ate indian food.\",\"I had dinner with Benjamin, Avery, Jackson. I ate indian food.\"\n13438,2018/11/15,I spent 21 talking to Piper on various topics during lunch hours.,I spent 21 talking to Piper on various topics during lunch hours.\n13439,2018/11/15,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n13440,2018/11/16,\"I bought some cherres, pineapples, chocolate milk, soda, milk, mouthwash from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\",\"I bought some cherres, pineapples, chocolate milk, soda, milk, mouthwash from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\"\n13441,2018/11/16,I did hiking on 2018/11/16.,I did hiking on 2018/11/16.\n13442,2018/11/16,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n13443,2018/11/16,\"I had tacos for lunch with Claire, Avery, Rylee, Lydia, Piper, Layla, Kinsley, Nora, Olivia, Eva, Piper, Hazel\",\"I had tacos for lunch with Claire, Avery, Rylee, Lydia, Piper, Layla, Kinsley, Nora, Olivia, Eva, Piper, Hazel\"\n13444,2018/11/16,I talked to Kinsley for 10 minutes in the early afternoon.,I talked to Kinsley for 10 minutes in the early afternoon.\n13445,2018/11/16,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n13446,2018/11/16,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n13447,2018/11/17,I spent some time learning a language on 2018/11/17.,I spent some time learning a language on 2018/11/17.\n13448,2018/11/17,\"I had breakfast with Piper, Kinsley, Eva, Claire, Hazel, Avery, Rylee, Nora, Lydia, Nevaeh, Piper, Olivia, Layla. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Kinsley, Eva, Claire, Hazel, Avery, Rylee, Nora, Lydia, Nevaeh, Piper, Olivia, Layla. I ate eggs, sausages, and bread.\"\n13449,2018/11/17,I prepare indian food for lunch.,I prepare indian food for lunch.\n13450,2018/11/17,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n13451,2018/11/17,\"I talked to Avery, Lydia, Layla for 48 minutes in the morning.\",\"I talked to Avery, Lydia, Layla for 48 minutes in the morning.\"\n13452,2018/11/17,\"I talked to Piper, Nora for 43 minutes in the early afternoon.\",\"I talked to Piper, Nora for 43 minutes in the early afternoon.\"\n13453,2018/11/18,I did swimming on 2018/11/18.,I did swimming on 2018/11/18.\n13454,2018/11/18,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n13455,2018/11/18,I talked to Claire for 40 minutes in the early afternoon.,I talked to Claire for 40 minutes in the early afternoon.\n13456,2018/11/18,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n13457,2018/11/19,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n13458,2018/11/20,\"I went grocery shopping with Kinsley, Hazel, Layla. I bought some pineapples, watermelons, pears, bananas, soda, sports drinks, and shampoo, conditioner\",\"I went grocery shopping with Kinsley, Hazel, Layla. I bought some pineapples, watermelons, pears, bananas, soda, sports drinks, and shampoo, conditioner\"\n13459,2018/11/20,I did running on 2018/11/20.,I did running on 2018/11/20.\n13460,2018/11/20,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n13461,2018/11/20,I talked to Claire for 35 minutes in the late afternoon.,I talked to Claire for 35 minutes in the late afternoon.\n13462,2018/11/21,I did swimming on 2018/11/21.,I did swimming on 2018/11/21.\n13463,2018/11/21,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n13464,2018/11/21,\"I had sandwich for lunch with Avery, Jackson, Willow\",\"I had sandwich for lunch with Avery, Jackson, Willow\"\n13465,2018/11/21,I had sushi for dinner with Emily,I had sushi for dinner with Emily\n13466,2018/11/21,\"I talked to Claire, Layla, Hazel, Rylee for 28 minutes in the morning.\",\"I talked to Claire, Layla, Hazel, Rylee for 28 minutes in the morning.\"\n13467,2018/11/21,I spent 49 minutes watching a documentary on TV today.,I spent 49 minutes watching a documentary on TV today.\n13468,2018/11/22,I ate sushi for lunch.,I ate sushi for lunch.\n13469,2018/11/23,\"On 2018/11/23, I took Isabella on a date to a coffee Shop\",\"On 2018/11/23, I took Isabella on a date to a coffee Shop\"\n13470,2018/11/23,I did HIIT on 2018/11/23.,I did HIIT on 2018/11/23.\n13471,2018/11/23,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n13472,2018/11/23,\"I had chinese food for lunch with Carter, Kayden, Andrew, Emily\",\"I had chinese food for lunch with Carter, Kayden, Andrew, Emily\"\n13473,2018/11/23,I had pasta for dinner with Jackson,I had pasta for dinner with Jackson\n13474,2018/11/23,\"I spent 10 talking to Nora, Lydia, Layla, Hazel on various topics late in the evening.\",\"I spent 10 talking to Nora, Lydia, Layla, Hazel on various topics late in the evening.\"\n13475,2018/11/23,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n13476,2018/11/23,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n13477,2018/11/24,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n13478,2018/11/24,\"I had lunch with Emily, Andrew, Kayden, Carter. I ate sushi.\",\"I had lunch with Emily, Andrew, Kayden, Carter. I ate sushi.\"\n13479,2018/11/24,I talked to Avery for 43 minutes in the morning.,I talked to Avery for 43 minutes in the morning.\n13480,2018/11/24,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n13481,2018/11/24,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n13482,2018/11/25,\"I was cooking healthy turkey chili, so-easy sloppy joes on 2018/11/25 with Emily, Kayden, Andrew, Carter at my place\",\"I was cooking healthy turkey chili, so-easy sloppy joes on 2018/11/25 with Emily, Kayden, Andrew, Carter at my place\"\n13483,2018/11/25,\"I went grocery shopping with Nora, Eva, Hazel, Rylee, Nevaeh, Lydia, Claire, Layla, Piper. I bought some bananas, strawberries, watermelons, mango juice, and mouthwash, conditioner, body lotion, toothpaste\",\"I went grocery shopping with Nora, Eva, Hazel, Rylee, Nevaeh, Lydia, Claire, Layla, Piper. I bought some bananas, strawberries, watermelons, mango juice, and mouthwash, conditioner, body lotion, toothpaste\"\n13484,2018/11/25,I did biking on 2018/11/25.,I did biking on 2018/11/25.\n13485,2018/11/25,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n13486,2018/11/25,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n13487,2018/11/25,\"I talked to Piper, Nora, Rylee for 37 minutes in the early afternoon.\",\"I talked to Piper, Nora, Rylee for 37 minutes in the early afternoon.\"\n13488,2018/11/25,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n13489,2018/11/26,\"I had toast and cheese for breakfast with Eva, Olivia, Nora\",\"I had toast and cheese for breakfast with Eva, Olivia, Nora\"\n13490,2018/11/26,I ate sandwich for dinner.,I ate sandwich for dinner.\n13491,2018/11/26,\"I talked to Piper, Eva for 43 minutes during lunch hours.\",\"I talked to Piper, Eva for 43 minutes during lunch hours.\"\n13492,2018/11/26,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n13493,2018/11/27,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n13494,2018/11/28,\"I bought some peaches, raspberries, nectarines, guava juice, soda, sports drinks, shaving cream, mouth wash, toilet paper online.\",\"I bought some peaches, raspberries, nectarines, guava juice, soda, sports drinks, shaving cream, mouth wash, toilet paper online.\"\n13495,2018/11/28,I prepare steak for dinner.,I prepare steak for dinner.\n13496,2018/11/28,\"I spent 28 talking to Nevaeh, Eva on various topics in the late afternoon.\",\"I spent 28 talking to Nevaeh, Eva on various topics in the late afternoon.\"\n13497,2018/11/28,I watched news for 47 minutes on TV today.,I watched news for 47 minutes on TV today.\n13498,2018/11/29,\"I went grocery shopping with Piper, Olivia, Piper, Kinsley, Rylee, Nevaeh, Hazel, Avery, Layla, Eva, Nora. I bought some apples, milk, orange juice, mango juice, chocolate milk, and paper towel, mouthwash, toilet paper, body lotion\",\"I went grocery shopping with Piper, Olivia, Piper, Kinsley, Rylee, Nevaeh, Hazel, Avery, Layla, Eva, Nora. I bought some apples, milk, orange juice, mango juice, chocolate milk, and paper towel, mouthwash, toilet paper, body lotion\"\n13499,2018/11/29,I ate steak for lunch.,I ate steak for lunch.\n13500,2018/11/29,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n13501,2018/11/30,I went on a date with Adam on 2018/11/30 at a restaurant,I went on a date with Adam on 2018/11/30 at a restaurant\n13502,2018/11/30,I did hiking on 2018/11/30.,I did hiking on 2018/11/30.\n13503,2018/11/30,\"I had peanut-butter-jam for breakfast with Piper, Layla, Nora\",\"I had peanut-butter-jam for breakfast with Piper, Layla, Nora\"\n13504,2018/11/30,\"I had lunch with Olivia, Piper. I ate tacos.\",\"I had lunch with Olivia, Piper. I ate tacos.\"\n13505,2018/11/30,I had indian food for dinner with Kinsley,I had indian food for dinner with Kinsley\n13506,2018/11/30,\"I spent 17 talking to Piper, Nevaeh, Rylee, Piper on various topics in the morning.\",\"I spent 17 talking to Piper, Nevaeh, Rylee, Piper on various topics in the morning.\"\n13507,2018/11/30,\"I spent 15 talking to Avery, Rylee, Lydia on various topics late in the evening.\",\"I spent 15 talking to Avery, Rylee, Lydia on various topics late in the evening.\"\n13508,2018/11/30,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n13509,2018/11/30,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n13510,2018/12/01,I did hiking on 2018/12/01.,I did hiking on 2018/12/01.\n13511,2018/12/01,I ate steak for lunch.,I ate steak for lunch.\n13512,2018/12/01,\"I talked to Kinsley, Rylee, Nora, Piper for 52 minutes in the early evening.\",\"I talked to Kinsley, Rylee, Nora, Piper for 52 minutes in the early evening.\"\n13513,2018/12/01,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n13514,2018/12/02,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n13515,2018/12/02,\"I talked to Nevaeh, Rylee, Kinsley for 27 minutes in the early afternoon.\",\"I talked to Nevaeh, Rylee, Kinsley for 27 minutes in the early afternoon.\"\n13516,2018/12/02,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n13517,2018/12/03,\"I had breakfast with Andrew, Emily, Carter. I ate oatmeal.\",\"I had breakfast with Andrew, Emily, Carter. I ate oatmeal.\"\n13518,2018/12/03,I ate a burger for dinner.,I ate a burger for dinner.\n13519,2018/12/03,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n13520,2018/12/04,I did running on 2018/12/04.,I did running on 2018/12/04.\n13521,2018/12/04,\"I had oatmeal for breakfast with Jackson, Avery, Willow, Benjamin\",\"I had oatmeal for breakfast with Jackson, Avery, Willow, Benjamin\"\n13522,2018/12/04,\"I had sushi for lunch with Benjamin, Avery, Jackson\",\"I had sushi for lunch with Benjamin, Avery, Jackson\"\n13523,2018/12/04,I spent 16 talking to Eva on various topics during lunch hours.,I spent 16 talking to Eva on various topics during lunch hours.\n13524,2018/12/04,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n13525,2018/12/04,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n13526,2018/12/05,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n13527,2018/12/05,\"I had a burger for dinner with Piper, Nora, Olivia, Piper, Lydia, Rylee, Nevaeh, Avery, Eva, Hazel, Layla, Claire\",\"I had a burger for dinner with Piper, Nora, Olivia, Piper, Lydia, Rylee, Nevaeh, Avery, Eva, Hazel, Layla, Claire\"\n13528,2018/12/05,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n13529,2018/12/06,\"On 2018/12/06, I took Matthew on a date to a park\",\"On 2018/12/06, I took Matthew on a date to a park\"\n13530,2018/12/06,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n13531,2018/12/06,\"I talked to Layla, Nevaeh, Hazel for 41 minutes in the late afternoon.\",\"I talked to Layla, Nevaeh, Hazel for 41 minutes in the late afternoon.\"\n13532,2018/12/06,I talked to Kinsley for 17 minutes during lunch hours.,I talked to Kinsley for 17 minutes during lunch hours.\n13533,2018/12/06,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n13534,2018/12/07,I did weight lifting on 2018/12/07.,I did weight lifting on 2018/12/07.\n13535,2018/12/07,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n13536,2018/12/07,\"I had indian food for lunch with Avery, Claire, Eva, Rylee, Layla, Nora\",\"I had indian food for lunch with Avery, Claire, Eva, Rylee, Layla, Nora\"\n13537,2018/12/07,\"I had indian food for dinner with Piper, Kinsley, Nora, Avery, Lydia, Claire, Rylee, Olivia, Layla, Eva\",\"I had indian food for dinner with Piper, Kinsley, Nora, Avery, Lydia, Claire, Rylee, Olivia, Layla, Eva\"\n13538,2018/12/07,I talked to Avery for 50 minutes late in the evening.,I talked to Avery for 50 minutes late in the evening.\n13539,2018/12/07,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n13540,2018/12/07,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n13541,2018/12/08,I did swimming on 2018/12/08.,I did swimming on 2018/12/08.\n13542,2018/12/08,I prepare pasta for dinner.,I prepare pasta for dinner.\n13543,2018/12/08,I talked to Layla for 16 minutes in the late afternoon.,I talked to Layla for 16 minutes in the late afternoon.\n13544,2018/12/08,\"I talked to Piper, Layla for 30 minutes in the late afternoon.\",\"I talked to Piper, Layla for 30 minutes in the late afternoon.\"\n13545,2018/12/08,I watched a tv series for 15 minutes on TV today.,I watched a tv series for 15 minutes on TV today.\n13546,2018/12/09,\"I bought some pineapples, raspberries, peaches, cherres, apple juice, tea, orange juice, toothbrush, body lotion, toilet paper online.\",\"I bought some pineapples, raspberries, peaches, cherres, apple juice, tea, orange juice, toothbrush, body lotion, toilet paper online.\"\n13547,2018/12/09,I did hiking on 2018/12/09.,I did hiking on 2018/12/09.\n13548,2018/12/09,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n13549,2018/12/09,I spent 19 talking to Piper on various topics in the morning.,I spent 19 talking to Piper on various topics in the morning.\n13550,2018/12/09,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n13551,2018/12/10,\"I had lunch with Rylee, Nevaeh, Olivia. I ate a burger.\",\"I had lunch with Rylee, Nevaeh, Olivia. I ate a burger.\"\n13552,2018/12/10,I ate sandwich for dinner.,I ate sandwich for dinner.\n13553,2018/12/10,\"I spent 26 talking to Nevaeh, Lydia, Olivia, Nora on various topics late in the evening.\",\"I spent 26 talking to Nevaeh, Lydia, Olivia, Nora on various topics late in the evening.\"\n13554,2018/12/11,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n13555,2018/12/11,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n13556,2018/12/12,\"I had peanut-butter-jam for breakfast with Layla, Nora\",\"I had peanut-butter-jam for breakfast with Layla, Nora\"\n13557,2018/12/12,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n13558,2018/12/13,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n13559,2018/12/13,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n13560,2018/12/13,I talked to Olivia for 35 minutes in the early evening.,I talked to Olivia for 35 minutes in the early evening.\n13561,2018/12/13,I watched news for 19 minutes on TV today.,I watched news for 19 minutes on TV today.\n13562,2018/12/14,\"I had peanut-butter-jam for breakfast with Kayden, Emily, Carter, Andrew\",\"I had peanut-butter-jam for breakfast with Kayden, Emily, Carter, Andrew\"\n13563,2018/12/14,\"I had chinese food for dinner with Piper, Lydia, Avery, Nora, Eva, Rylee\",\"I had chinese food for dinner with Piper, Lydia, Avery, Nora, Eva, Rylee\"\n13564,2018/12/14,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n13565,2018/12/15,I did swimming on 2018/12/15.,I did swimming on 2018/12/15.\n13566,2018/12/16,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n13567,2018/12/16,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n13568,2018/12/17,I did HIIT on 2018/12/17.,I did HIIT on 2018/12/17.\n13569,2018/12/17,\"I had eggs, sausages, and bread for breakfast with Piper, Rylee, Lydia, Avery, Claire, Layla, Piper, Kinsley, Nevaeh, Olivia, Nora\",\"I had eggs, sausages, and bread for breakfast with Piper, Rylee, Lydia, Avery, Claire, Layla, Piper, Kinsley, Nevaeh, Olivia, Nora\"\n13570,2018/12/17,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n13571,2018/12/18,I did running on 2018/12/18.,I did running on 2018/12/18.\n13572,2018/12/18,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n13573,2018/12/18,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n13574,2018/12/18,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n13575,2018/12/18,\"I talked to Lydia, Olivia, Claire for 51 minutes in the late afternoon.\",\"I talked to Lydia, Olivia, Claire for 51 minutes in the late afternoon.\"\n13576,2018/12/18,I spent 14 minutes on news today.,I spent 14 minutes on news today.\n13577,2018/12/19,I did biking on 2018/12/19.,I did biking on 2018/12/19.\n13578,2018/12/19,I prepare steak for lunch.,I prepare steak for lunch.\n13579,2018/12/19,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n13580,2018/12/19,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n13581,2018/12/20,\"I went grocery shopping with Kinsley, Hazel, Nevaeh. I bought some pears, watermelons, mangos, guava, orange juice, coffee, and shampoo\",\"I went grocery shopping with Kinsley, Hazel, Nevaeh. I bought some pears, watermelons, mangos, guava, orange juice, coffee, and shampoo\"\n13582,2018/12/20,\"I had oatmeal for breakfast with Piper, Layla, Eva, Nevaeh, Olivia, Avery, Piper, Nora, Kinsley\",\"I had oatmeal for breakfast with Piper, Layla, Eva, Nevaeh, Olivia, Avery, Piper, Nora, Kinsley\"\n13583,2018/12/20,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n13584,2018/12/20,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n13585,2018/12/21,I did hiking on 2018/12/21.,I did hiking on 2018/12/21.\n13586,2018/12/21,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n13587,2018/12/22,I did running on 2018/12/22.,I did running on 2018/12/22.\n13588,2018/12/22,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n13589,2018/12/22,I ate pasta for dinner.,I ate pasta for dinner.\n13590,2018/12/22,\"I spent 7 talking to Piper, Piper on various topics in the early afternoon.\",\"I spent 7 talking to Piper, Piper on various topics in the early afternoon.\"\n13591,2018/12/22,I spent 49 minutes reading news today.,I spent 49 minutes reading news today.\n13592,2018/12/22,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n13593,2018/12/23,I did weight lifting on 2018/12/23.,I did weight lifting on 2018/12/23.\n13594,2018/12/23,\"I had eggs, sausages, and bread for breakfast with Carter, Kayden\",\"I had eggs, sausages, and bread for breakfast with Carter, Kayden\"\n13595,2018/12/23,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n13596,2018/12/23,I spent 9 minutes watching a tv series on TV today.,I spent 9 minutes watching a tv series on TV today.\n13597,2018/12/24,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n13598,2018/12/24,I ate chinese food for dinner.,I ate chinese food for dinner.\n13599,2018/12/24,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n13600,2018/12/25,\"I had breakfast with Benjamin, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Jackson. I ate peanut-butter-jam.\"\n13601,2018/12/25,\"I had a burger for dinner with Claire, Nevaeh, Olivia, Hazel, Lydia, Eva, Piper, Piper, Rylee, Avery, Nora\",\"I had a burger for dinner with Claire, Nevaeh, Olivia, Hazel, Lydia, Eva, Piper, Piper, Rylee, Avery, Nora\"\n13602,2018/12/25,I talked to Lydia for 47 minutes in the early afternoon.,I talked to Lydia for 47 minutes in the early afternoon.\n13603,2018/12/25,\"I spent 13 talking to Olivia, Nora on various topics in the late afternoon.\",\"I spent 13 talking to Olivia, Nora on various topics in the late afternoon.\"\n13604,2018/12/25,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n13605,2018/12/25,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n13606,2018/12/26,I did hiking on 2018/12/26.,I did hiking on 2018/12/26.\n13607,2018/12/26,\"I had chinese food for dinner with Andrew, Kayden, Carter\",\"I had chinese food for dinner with Andrew, Kayden, Carter\"\n13608,2018/12/26,\"I talked to Kinsley, Piper for 32 minutes in the early afternoon.\",\"I talked to Kinsley, Piper for 32 minutes in the early afternoon.\"\n13609,2018/12/27,I ate tacos for dinner.,I ate tacos for dinner.\n13610,2018/12/27,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n13611,2018/12/28,I did weight lifting on 2018/12/28.,I did weight lifting on 2018/12/28.\n13612,2018/12/28,\"I had a burger for dinner with Kinsley, Rylee, Avery, Piper, Hazel, Olivia, Layla, Nora, Piper\",\"I had a burger for dinner with Kinsley, Rylee, Avery, Piper, Hazel, Olivia, Layla, Nora, Piper\"\n13613,2018/12/28,\"I spent 35 talking to Kinsley, Nevaeh, Hazel on various topics during lunch hours.\",\"I spent 35 talking to Kinsley, Nevaeh, Hazel on various topics during lunch hours.\"\n13614,2018/12/28,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n13615,2018/12/29,I did swimming on 2018/12/29.,I did swimming on 2018/12/29.\n13616,2018/12/29,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n13617,2018/12/29,\"I spent 27 talking to Lydia, Nora, Claire, Kinsley on various topics late in the evening.\",\"I spent 27 talking to Lydia, Nora, Claire, Kinsley on various topics late in the evening.\"\n13618,2018/12/29,I spent 37 minutes watching a tv series on TV today.,I spent 37 minutes watching a tv series on TV today.\n13619,2018/12/30,I really enjoyed gardening on 2018/12/30,I really enjoyed gardening on 2018/12/30\n13620,2018/12/30,\"I had breakfast with Benjamin, Willow, Jackson. I ate pancakes.\",\"I had breakfast with Benjamin, Willow, Jackson. I ate pancakes.\"\n13621,2018/12/30,\"I spent 47 talking to Eva, Hazel, Layla on various topics in the early evening.\",\"I spent 47 talking to Eva, Hazel, Layla on various topics in the early evening.\"\n13622,2018/12/30,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n13623,2018/12/31,\"I spent time meditation on 2018/12/31 with Carter, Emily.\",\"I spent time meditation on 2018/12/31 with Carter, Emily.\"\n13624,2018/12/31,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n13625,2018/12/31,\"I had dinner with Andrew, Emily. I ate tacos.\",\"I had dinner with Andrew, Emily. I ate tacos.\"\n13626,2018/12/31,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n13627,2018/12/31,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n13628,2019/01/01,I did running on 2019/01/01.,I did running on 2019/01/01.\n13629,2019/01/01,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n13630,2019/01/02,I did hiking on 2019/01/02.,I did hiking on 2019/01/02.\n13631,2019/01/02,\"I had oatmeal for breakfast with Avery, Olivia, Hazel\",\"I had oatmeal for breakfast with Avery, Olivia, Hazel\"\n13632,2019/01/02,\"I spent 16 talking to Kinsley, Layla, Piper on various topics in the morning.\",\"I spent 16 talking to Kinsley, Layla, Piper on various topics in the morning.\"\n13633,2019/01/02,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n13634,2019/01/02,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n13635,2019/01/03,I ate sandwich for lunch.,I ate sandwich for lunch.\n13636,2019/01/03,\"I had dinner with Andrew, Emily, Kayden, Carter. I ate indian food.\",\"I had dinner with Andrew, Emily, Kayden, Carter. I ate indian food.\"\n13637,2019/01/03,I spent 5 minutes reading a book today.,I spent 5 minutes reading a book today.\n13638,2019/01/04,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n13639,2019/01/04,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n13640,2019/01/04,I spent 33 talking to Lydia on various topics in the early evening.,I spent 33 talking to Lydia on various topics in the early evening.\n13641,2019/01/04,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n13642,2019/01/05,I did running on 2019/01/05.,I did running on 2019/01/05.\n13643,2019/01/05,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n13644,2019/01/05,I ate pasta for lunch.,I ate pasta for lunch.\n13645,2019/01/05,\"I had chinese food for dinner with Avery, Nora, Claire, Olivia, Eva, Rylee, Piper, Nevaeh, Layla, Piper, Kinsley, Lydia\",\"I had chinese food for dinner with Avery, Nora, Claire, Olivia, Eva, Rylee, Piper, Nevaeh, Layla, Piper, Kinsley, Lydia\"\n13646,2019/01/05,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n13647,2019/01/06,I went on a date with Jonathan on 2019/01/06 at a restaurant,I went on a date with Jonathan on 2019/01/06 at a restaurant\n13648,2019/01/06,\"I went grocery shopping. I bought some blueberries, pineapples, guava juice, chocolate milk, milk, soda, and toilet paper, toothbrush, mouth wash, shaving cream\",\"I went grocery shopping. I bought some blueberries, pineapples, guava juice, chocolate milk, milk, soda, and toilet paper, toothbrush, mouth wash, shaving cream\"\n13649,2019/01/06,\"I had pancakes for breakfast with Kinsley, Lydia, Claire, Olivia, Rylee, Layla, Nevaeh, Nora, Piper, Hazel\",\"I had pancakes for breakfast with Kinsley, Lydia, Claire, Olivia, Rylee, Layla, Nevaeh, Nora, Piper, Hazel\"\n13650,2019/01/06,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n13651,2019/01/06,\"I had steak for dinner with Andrew, Carter, Emily\",\"I had steak for dinner with Andrew, Carter, Emily\"\n13652,2019/01/06,I talked to Layla for 45 minutes late in the evening.,I talked to Layla for 45 minutes late in the evening.\n13653,2019/01/07,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n13654,2019/01/07,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n13655,2019/01/08,\"I bought some mandarins, guava, peaches, mango juice, mineral water, chocolate milk, pineapple juice, facial wash, paper towel, shampoo, body lotion online.\",\"I bought some mandarins, guava, peaches, mango juice, mineral water, chocolate milk, pineapple juice, facial wash, paper towel, shampoo, body lotion online.\"\n13656,2019/01/08,I did hiking on 2019/01/08.,I did hiking on 2019/01/08.\n13657,2019/01/08,\"I had lunch with Andrew, Emily. I ate a burger.\",\"I had lunch with Andrew, Emily. I ate a burger.\"\n13658,2019/01/08,I ate steak for dinner.,I ate steak for dinner.\n13659,2019/01/08,\"I spent 18 talking to Kinsley, Nora, Rylee on various topics in the early afternoon.\",\"I spent 18 talking to Kinsley, Nora, Rylee on various topics in the early afternoon.\"\n13660,2019/01/09,I did swimming on 2019/01/09.,I did swimming on 2019/01/09.\n13661,2019/01/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n13662,2019/01/09,\"I talked to Kinsley, Rylee, Claire, Hazel for 29 minutes in the morning.\",\"I talked to Kinsley, Rylee, Claire, Hazel for 29 minutes in the morning.\"\n13663,2019/01/09,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n13664,2019/01/10,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n13665,2019/01/10,\"I talked to Claire, Nora, Nevaeh, Avery for 55 minutes in the late afternoon.\",\"I talked to Claire, Nora, Nevaeh, Avery for 55 minutes in the late afternoon.\"\n13666,2019/01/10,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n13667,2019/01/11,I really enjoyed yoga on 2019/01/11,I really enjoyed yoga on 2019/01/11\n13668,2019/01/11,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n13669,2019/01/11,I ate sushi for dinner.,I ate sushi for dinner.\n13670,2019/01/11,\"I spent 51 talking to Piper, Lydia, Hazel on various topics in the early evening.\",\"I spent 51 talking to Piper, Lydia, Hazel on various topics in the early evening.\"\n13671,2019/01/11,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n13672,2019/01/12,I had lunch. I ate steak.,I had lunch. I ate steak.\n13673,2019/01/12,\"I had dinner with Nora, Hazel, Lydia, Olivia, Eva, Piper, Piper, Rylee, Avery, Layla, Claire, Nevaeh, Kinsley. I ate tacos.\",\"I had dinner with Nora, Hazel, Lydia, Olivia, Eva, Piper, Piper, Rylee, Avery, Layla, Claire, Nevaeh, Kinsley. I ate tacos.\"\n13674,2019/01/12,\"I spent 20 talking to Lydia, Claire, Avery, Piper on various topics in the morning.\",\"I spent 20 talking to Lydia, Claire, Avery, Piper on various topics in the morning.\"\n13675,2019/01/13,I did hiking on 2019/01/13.,I did hiking on 2019/01/13.\n13676,2019/01/13,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n13677,2019/01/13,\"I had sandwich for lunch with Rylee, Hazel, Layla, Nora, Nevaeh\",\"I had sandwich for lunch with Rylee, Hazel, Layla, Nora, Nevaeh\"\n13678,2019/01/13,I ate indian food for dinner.,I ate indian food for dinner.\n13679,2019/01/13,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n13680,2019/01/13,I spent 37 minutes watching a tv series on TV today.,I spent 37 minutes watching a tv series on TV today.\n13681,2019/01/14,I went on a date with Noah on 2019/01/14 at a boba shop,I went on a date with Noah on 2019/01/14 at a boba shop\n13682,2019/01/14,\"I went grocery shopping with Willow, Avery, Benjamin. I bought some apricots, blueberries, guava juice, apple juice, sports drinks, and toothbrush\",\"I went grocery shopping with Willow, Avery, Benjamin. I bought some apricots, blueberries, guava juice, apple juice, sports drinks, and toothbrush\"\n13683,2019/01/14,\"I talked to Avery, Lydia for 42 minutes in the morning.\",\"I talked to Avery, Lydia for 42 minutes in the morning.\"\n13684,2019/01/14,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n13685,2019/01/15,I did hiking on 2019/01/15.,I did hiking on 2019/01/15.\n13686,2019/01/15,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n13687,2019/01/15,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n13688,2019/01/16,I went on a date with Axel on 2019/01/16 at a restaurant,I went on a date with Axel on 2019/01/16 at a restaurant\n13689,2019/01/16,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n13690,2019/01/16,\"I spent 48 talking to Avery, Claire on various topics in the early afternoon.\",\"I spent 48 talking to Avery, Claire on various topics in the early afternoon.\"\n13691,2019/01/16,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n13692,2019/01/17,\"I went grocery shopping. I bought some nectarines, chocolate milk, guava juice, sports drinks, apple juice, and facial wash, paper towel, toilet paper, shaving cream\",\"I went grocery shopping. I bought some nectarines, chocolate milk, guava juice, sports drinks, apple juice, and facial wash, paper towel, toilet paper, shaving cream\"\n13693,2019/01/17,I did running on 2019/01/17.,I did running on 2019/01/17.\n13694,2019/01/17,I prepare tacos for lunch.,I prepare tacos for lunch.\n13695,2019/01/17,\"I had dinner with Andrew, Emily. I ate sandwich.\",\"I had dinner with Andrew, Emily. I ate sandwich.\"\n13696,2019/01/17,\"I spent 13 talking to Layla, Avery on various topics in the early afternoon.\",\"I spent 13 talking to Layla, Avery on various topics in the early afternoon.\"\n13697,2019/01/17,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n13698,2019/01/18,\"On 2019/01/18, I took Naomi on a date to a coffee Shop\",\"On 2019/01/18, I took Naomi on a date to a coffee Shop\"\n13699,2019/01/18,\"I went grocery shopping with Emily, Andrew. I bought some apples, nectarines, guava, blackberries, guava juice, apple juice, and toothpaste, mouth wash\",\"I went grocery shopping with Emily, Andrew. I bought some apples, nectarines, guava, blackberries, guava juice, apple juice, and toothpaste, mouth wash\"\n13700,2019/01/18,I had toast and cheese for breakfast with Emily,I had toast and cheese for breakfast with Emily\n13701,2019/01/18,I had dinner. I ate steak.,I had dinner. I ate steak.\n13702,2019/01/18,\"I spent 21 talking to Piper, Olivia, Claire on various topics late in the evening.\",\"I spent 21 talking to Piper, Olivia, Claire on various topics late in the evening.\"\n13703,2019/01/18,\"I spent 46 talking to Lydia, Kinsley, Piper, Rylee on various topics in the morning.\",\"I spent 46 talking to Lydia, Kinsley, Piper, Rylee on various topics in the morning.\"\n13704,2019/01/18,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n13705,2019/01/19,\"I had breakfast with Avery, Benjamin, Willow, Jackson. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Benjamin, Willow, Jackson. I ate eggs, sausages, and bread.\"\n13706,2019/01/19,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n13707,2019/01/19,I talked to Layla for 19 minutes in the early afternoon.,I talked to Layla for 19 minutes in the early afternoon.\n13708,2019/01/19,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n13709,2019/01/19,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n13710,2019/01/20,I did weight lifting on 2019/01/20.,I did weight lifting on 2019/01/20.\n13711,2019/01/20,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n13712,2019/01/20,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n13713,2019/01/21,I did swimming on 2019/01/21.,I did swimming on 2019/01/21.\n13714,2019/01/22,I spent 43 talking to Kinsley on various topics in the morning.,I spent 43 talking to Kinsley on various topics in the morning.\n13715,2019/01/23,I did HIIT on 2019/01/23.,I did HIIT on 2019/01/23.\n13716,2019/01/23,\"I had dinner with Rylee, Piper, Piper, Nora, Eva, Olivia, Avery, Layla, Hazel, Kinsley, Lydia, Claire, Nevaeh. I ate sandwich.\",\"I had dinner with Rylee, Piper, Piper, Nora, Eva, Olivia, Avery, Layla, Hazel, Kinsley, Lydia, Claire, Nevaeh. I ate sandwich.\"\n13717,2019/01/24,I did weight lifting on 2019/01/24.,I did weight lifting on 2019/01/24.\n13718,2019/01/24,\"I talked to Hazel, Eva, Claire for 43 minutes in the early evening.\",\"I talked to Hazel, Eva, Claire for 43 minutes in the early evening.\"\n13719,2019/01/24,I spent 52 talking to Eva on various topics in the early afternoon.,I spent 52 talking to Eva on various topics in the early afternoon.\n13720,2019/01/25,\"I was baking peanut butter cookies, chrissy teigen’s 3-ingredient chocolate mousse on 2019/01/25 with Kayden, Emily at my place\",\"I was baking peanut butter cookies, chrissy teigen’s 3-ingredient chocolate mousse on 2019/01/25 with Kayden, Emily at my place\"\n13721,2019/01/25,I did running on 2019/01/25.,I did running on 2019/01/25.\n13722,2019/01/25,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n13723,2019/01/25,\"I talked to Nora, Rylee for 12 minutes during lunch hours.\",\"I talked to Nora, Rylee for 12 minutes during lunch hours.\"\n13724,2019/01/25,I spent 33 minutes on a book today.,I spent 33 minutes on a book today.\n13725,2019/01/25,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n13726,2019/01/26,\"I went grocery shopping. I bought some bananas, watermelons, peaches, tea, apple juice, and shaving cream, mouth wash, mouthwash, toothpaste\",\"I went grocery shopping. I bought some bananas, watermelons, peaches, tea, apple juice, and shaving cream, mouth wash, mouthwash, toothpaste\"\n13727,2019/01/26,I did biking on 2019/01/26.,I did biking on 2019/01/26.\n13728,2019/01/26,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n13729,2019/01/26,\"I had lunch with Kayden, Emily, Carter. I ate pasta.\",\"I had lunch with Kayden, Emily, Carter. I ate pasta.\"\n13730,2019/01/26,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n13731,2019/01/27,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n13732,2019/01/27,\"I had lunch with Nevaeh, Piper, Lydia, Kinsley, Avery, Layla, Eva, Hazel, Olivia, Nora, Piper, Claire. I ate indian food.\",\"I had lunch with Nevaeh, Piper, Lydia, Kinsley, Avery, Layla, Eva, Hazel, Olivia, Nora, Piper, Claire. I ate indian food.\"\n13733,2019/01/27,\"I had dinner with Carter, Kayden. I ate tacos.\",\"I had dinner with Carter, Kayden. I ate tacos.\"\n13734,2019/01/27,\"I talked to Nevaeh, Nora, Claire for 49 minutes during lunch hours.\",\"I talked to Nevaeh, Nora, Claire for 49 minutes during lunch hours.\"\n13735,2019/01/27,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n13736,2019/01/28,I did HIIT on 2019/01/28.,I did HIIT on 2019/01/28.\n13737,2019/01/28,\"I had sushi for lunch with Piper, Hazel, Lydia\",\"I had sushi for lunch with Piper, Hazel, Lydia\"\n13738,2019/01/28,\"I talked to Rylee, Piper for 24 minutes in the early evening.\",\"I talked to Rylee, Piper for 24 minutes in the early evening.\"\n13739,2019/01/28,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n13740,2019/01/28,I watched a movie for 17 minutes on TV today.,I watched a movie for 17 minutes on TV today.\n13741,2019/01/29,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n13742,2019/01/29,\"I had fish and chips for lunch with Kayden, Emily, Carter, Andrew\",\"I had fish and chips for lunch with Kayden, Emily, Carter, Andrew\"\n13743,2019/01/29,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n13744,2019/01/29,I spent 32 talking to Piper on various topics in the early evening.,I spent 32 talking to Piper on various topics in the early evening.\n13745,2019/01/29,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n13746,2019/01/30,I did biking on 2019/01/30.,I did biking on 2019/01/30.\n13747,2019/01/30,\"I had breakfast with Emily, Kayden, Carter. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Kayden, Carter. I ate eggs, sausages, and bread.\"\n13748,2019/01/30,\"I had pasta for lunch with Avery, Benjamin\",\"I had pasta for lunch with Avery, Benjamin\"\n13749,2019/01/30,\"I spent 11 talking to Nevaeh, Avery, Lydia, Olivia on various topics in the early evening.\",\"I spent 11 talking to Nevaeh, Avery, Lydia, Olivia on various topics in the early evening.\"\n13750,2019/01/30,I spent 41 minutes watching news on TV today.,I spent 41 minutes watching news on TV today.\n13751,2019/01/31,\"I had lunch with Eva, Hazel, Nevaeh, Piper, Avery, Claire, Kinsley, Nora. I ate steak.\",\"I had lunch with Eva, Hazel, Nevaeh, Piper, Avery, Claire, Kinsley, Nora. I ate steak.\"\n13752,2019/01/31,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n13753,2019/01/31,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n13754,2019/02/01,I did HIIT on 2019/02/01.,I did HIIT on 2019/02/01.\n13755,2019/02/01,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n13756,2019/02/01,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n13757,2019/02/01,\"I talked to Rylee, Nora, Hazel for 18 minutes late in the evening.\",\"I talked to Rylee, Nora, Hazel for 18 minutes late in the evening.\"\n13758,2019/02/01,\"I talked to Lydia, Kinsley for 48 minutes in the early evening.\",\"I talked to Lydia, Kinsley for 48 minutes in the early evening.\"\n13759,2019/02/01,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n13760,2019/02/02,\"I went grocery shopping. I bought some apples, bananas, pineapples, soda, guava juice, orange juice, milk, and body lotion, mouth wash, facial wash\",\"I went grocery shopping. I bought some apples, bananas, pineapples, soda, guava juice, orange juice, milk, and body lotion, mouth wash, facial wash\"\n13761,2019/02/02,\"I spent 43 talking to Rylee, Claire, Piper on various topics in the late afternoon.\",\"I spent 43 talking to Rylee, Claire, Piper on various topics in the late afternoon.\"\n13762,2019/02/02,I watched a movie for 31 minutes on TV today.,I watched a movie for 31 minutes on TV today.\n13763,2019/02/03,\"I had breakfast with Emily, Kayden. I ate pancakes.\",\"I had breakfast with Emily, Kayden. I ate pancakes.\"\n13764,2019/02/03,\"I had steak for lunch with Avery, Willow, Benjamin\",\"I had steak for lunch with Avery, Willow, Benjamin\"\n13765,2019/02/03,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n13766,2019/02/03,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n13767,2019/02/04,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n13768,2019/02/04,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n13769,2019/02/04,I spent 38 talking to Nora on various topics in the early evening.,I spent 38 talking to Nora on various topics in the early evening.\n13770,2019/02/05,\"I bought some blackberries, pears, apple juice, sports drinks, mouthwash, body lotion, toilet paper online.\",\"I bought some blackberries, pears, apple juice, sports drinks, mouthwash, body lotion, toilet paper online.\"\n13771,2019/02/05,\"I had toast and cheese for breakfast with Piper, Rylee\",\"I had toast and cheese for breakfast with Piper, Rylee\"\n13772,2019/02/05,I had lunch. I ate steak.,I had lunch. I ate steak.\n13773,2019/02/05,I ate sandwich for dinner.,I ate sandwich for dinner.\n13774,2019/02/05,\"I talked to Eva, Olivia, Avery, Kinsley for 49 minutes during lunch hours.\",\"I talked to Eva, Olivia, Avery, Kinsley for 49 minutes during lunch hours.\"\n13775,2019/02/06,I did swimming on 2019/02/06.,I did swimming on 2019/02/06.\n13776,2019/02/06,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n13777,2019/02/06,I spent 17 minutes watching a tv series on TV today.,I spent 17 minutes watching a tv series on TV today.\n13778,2019/02/07,\"I had oatmeal for breakfast with Avery, Jackson, Benjamin\",\"I had oatmeal for breakfast with Avery, Jackson, Benjamin\"\n13779,2019/02/07,\"I talked to Avery, Layla, Lydia, Olivia for 47 minutes in the morning.\",\"I talked to Avery, Layla, Lydia, Olivia for 47 minutes in the morning.\"\n13780,2019/02/07,\"I spent 28 talking to Olivia, Layla, Nora, Eva on various topics in the early afternoon.\",\"I spent 28 talking to Olivia, Layla, Nora, Eva on various topics in the early afternoon.\"\n13781,2019/02/07,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n13782,2019/02/07,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n13783,2019/02/08,\"I bought some peaches, nectarines, raspberries, sports drinks, soda, shaving cream, toothbrush from the grocery store. I saw Emily, Kayden, Carter at the grocery store.\",\"I bought some peaches, nectarines, raspberries, sports drinks, soda, shaving cream, toothbrush from the grocery store. I saw Emily, Kayden, Carter at the grocery store.\"\n13784,2019/02/08,I did hiking on 2019/02/08.,I did hiking on 2019/02/08.\n13785,2019/02/08,\"I talked to Avery, Rylee for 39 minutes in the early evening.\",\"I talked to Avery, Rylee for 39 minutes in the early evening.\"\n13786,2019/02/08,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n13787,2019/02/09,I went on a date with Natalia on 2019/02/09 at a coffee Shop,I went on a date with Natalia on 2019/02/09 at a coffee Shop\n13788,2019/02/09,I did biking on 2019/02/09.,I did biking on 2019/02/09.\n13789,2019/02/09,\"I talked to Avery, Lydia, Claire for 43 minutes in the morning.\",\"I talked to Avery, Lydia, Claire for 43 minutes in the morning.\"\n13790,2019/02/09,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n13791,2019/02/10,I did hiking on 2019/02/10.,I did hiking on 2019/02/10.\n13792,2019/02/10,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n13793,2019/02/10,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n13794,2019/02/11,\"I spent time gardening on 2019/02/11 with Kayden, Emily.\",\"I spent time gardening on 2019/02/11 with Kayden, Emily.\"\n13795,2019/02/11,\"I had dinner with Layla, Lydia, Nevaeh, Hazel, Rylee. I ate sushi.\",\"I had dinner with Layla, Lydia, Nevaeh, Hazel, Rylee. I ate sushi.\"\n13796,2019/02/12,I did hiking on 2019/02/12.,I did hiking on 2019/02/12.\n13797,2019/02/12,I had sandwich for lunch with Andrew,I had sandwich for lunch with Andrew\n13798,2019/02/12,\"I had sushi for dinner with Rylee, Claire\",\"I had sushi for dinner with Rylee, Claire\"\n13799,2019/02/12,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n13800,2019/02/13,\"I had sushi for dinner with Avery, Willow, Benjamin\",\"I had sushi for dinner with Avery, Willow, Benjamin\"\n13801,2019/02/13,\"I talked to Lydia, Piper, Eva for 42 minutes late in the evening.\",\"I talked to Lydia, Piper, Eva for 42 minutes late in the evening.\"\n13802,2019/02/13,\"I talked to Kinsley, Layla, Eva, Piper for 7 minutes in the early evening.\",\"I talked to Kinsley, Layla, Eva, Piper for 7 minutes in the early evening.\"\n13803,2019/02/13,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n13804,2019/02/14,I did swimming on 2019/02/14.,I did swimming on 2019/02/14.\n13805,2019/02/14,\"I talked to Layla, Olivia for 36 minutes in the late afternoon.\",\"I talked to Layla, Olivia for 36 minutes in the late afternoon.\"\n13806,2019/02/14,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n13807,2019/02/15,I really enjoyed yoga on 2019/02/15,I really enjoyed yoga on 2019/02/15\n13808,2019/02/15,I had pancakes for breakfast with Benjamin,I had pancakes for breakfast with Benjamin\n13809,2019/02/16,\"I had breakfast with Jackson, Willow. I ate pancakes.\",\"I had breakfast with Jackson, Willow. I ate pancakes.\"\n13810,2019/02/16,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n13811,2019/02/16,\"I spent 40 talking to Layla, Hazel on various topics in the early evening.\",\"I spent 40 talking to Layla, Hazel on various topics in the early evening.\"\n13812,2019/02/16,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n13813,2019/02/16,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n13814,2019/02/17,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n13815,2019/02/17,\"I talked to Eva, Rylee, Hazel, Olivia for 55 minutes in the early afternoon.\",\"I talked to Eva, Rylee, Hazel, Olivia for 55 minutes in the early afternoon.\"\n13816,2019/02/17,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n13817,2019/02/17,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n13818,2019/02/18,\"I went grocery shopping with Olivia, Claire. I bought some oranges, clementines, apples, sports drinks, coffee, mineral water, soda, and facial wash, shampoo\",\"I went grocery shopping with Olivia, Claire. I bought some oranges, clementines, apples, sports drinks, coffee, mineral water, soda, and facial wash, shampoo\"\n13819,2019/02/18,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n13820,2019/02/18,I ate sandwich for dinner.,I ate sandwich for dinner.\n13821,2019/02/18,\"I talked to Nevaeh, Avery, Kinsley, Layla for 18 minutes in the late afternoon.\",\"I talked to Nevaeh, Avery, Kinsley, Layla for 18 minutes in the late afternoon.\"\n13822,2019/02/18,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n13823,2019/02/18,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n13824,2019/02/19,I did biking on 2019/02/19.,I did biking on 2019/02/19.\n13825,2019/02/19,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n13826,2019/02/19,\"I spent 52 talking to Layla, Kinsley, Olivia on various topics in the early evening.\",\"I spent 52 talking to Layla, Kinsley, Olivia on various topics in the early evening.\"\n13827,2019/02/19,\"I spent 42 talking to Rylee, Kinsley, Hazel, Avery on various topics late in the evening.\",\"I spent 42 talking to Rylee, Kinsley, Hazel, Avery on various topics late in the evening.\"\n13828,2019/02/19,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n13829,2019/02/20,I did running on 2019/02/20.,I did running on 2019/02/20.\n13830,2019/02/20,I ate pasta for lunch.,I ate pasta for lunch.\n13831,2019/02/20,I spent 49 minutes reading a book today.,I spent 49 minutes reading a book today.\n13832,2019/02/21,\"I had lunch with Willow, Jackson, Benjamin, Avery. I ate steak.\",\"I had lunch with Willow, Jackson, Benjamin, Avery. I ate steak.\"\n13833,2019/02/21,I ate tacos for dinner.,I ate tacos for dinner.\n13834,2019/02/21,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n13835,2019/02/22,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n13836,2019/02/22,I ate a burger for dinner.,I ate a burger for dinner.\n13837,2019/02/22,\"I talked to Kinsley, Claire for 23 minutes in the early evening.\",\"I talked to Kinsley, Claire for 23 minutes in the early evening.\"\n13838,2019/02/22,\"I spent 29 talking to Hazel, Olivia, Piper, Lydia on various topics late in the evening.\",\"I spent 29 talking to Hazel, Olivia, Piper, Lydia on various topics late in the evening.\"\n13839,2019/02/23,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n13840,2019/02/24,\"I bought some apricots, strawberries, pineapples, apple juice, sports drinks, coffee, body lotion online.\",\"I bought some apricots, strawberries, pineapples, apple juice, sports drinks, coffee, body lotion online.\"\n13841,2019/02/24,\"I talked to Lydia, Eva for 54 minutes in the morning.\",\"I talked to Lydia, Eva for 54 minutes in the morning.\"\n13842,2019/02/25,I did weight lifting on 2019/02/25.,I did weight lifting on 2019/02/25.\n13843,2019/02/25,\"I had peanut-butter-jam for breakfast with Andrew, Carter, Kayden, Emily\",\"I had peanut-butter-jam for breakfast with Andrew, Carter, Kayden, Emily\"\n13844,2019/02/25,I prepare a burger for lunch.,I prepare a burger for lunch.\n13845,2019/02/25,I prepare pasta for dinner.,I prepare pasta for dinner.\n13846,2019/02/25,\"I spent 11 talking to Hazel, Piper on various topics late in the evening.\",\"I spent 11 talking to Hazel, Piper on various topics late in the evening.\"\n13847,2019/02/25,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n13848,2019/02/25,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n13849,2019/02/26,I did swimming on 2019/02/26.,I did swimming on 2019/02/26.\n13850,2019/02/26,I ate pasta for dinner.,I ate pasta for dinner.\n13851,2019/02/26,\"I talked to Claire, Hazel, Nevaeh for 28 minutes in the early afternoon.\",\"I talked to Claire, Hazel, Nevaeh for 28 minutes in the early afternoon.\"\n13852,2019/02/26,I talked to Avery for 19 minutes late in the evening.,I talked to Avery for 19 minutes late in the evening.\n13853,2019/02/26,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n13854,2019/02/26,I spent 24 minutes watching a documentary on TV today.,I spent 24 minutes watching a documentary on TV today.\n13855,2019/02/27,I did running on 2019/02/27.,I did running on 2019/02/27.\n13856,2019/02/27,\"I talked to Lydia, Piper, Nora, Rylee for 50 minutes in the late afternoon.\",\"I talked to Lydia, Piper, Nora, Rylee for 50 minutes in the late afternoon.\"\n13857,2019/02/28,\"I bought some apples, milk, soda, apple juice, pineapple juice, toothpaste, conditioner from the grocery store. I saw Claire, Layla, Olivia, Lydia, Avery, Hazel at the grocery store.\",\"I bought some apples, milk, soda, apple juice, pineapple juice, toothpaste, conditioner from the grocery store. I saw Claire, Layla, Olivia, Lydia, Avery, Hazel at the grocery store.\"\n13858,2019/02/28,\"I had dinner with Willow, Benjamin. I ate fish and chips.\",\"I had dinner with Willow, Benjamin. I ate fish and chips.\"\n13859,2019/02/28,\"I spent 28 talking to Nevaeh, Hazel, Lydia on various topics in the late afternoon.\",\"I spent 28 talking to Nevaeh, Hazel, Lydia on various topics in the late afternoon.\"\n13860,2019/02/28,\"I talked to Piper, Eva, Rylee, Claire for 37 minutes in the morning.\",\"I talked to Piper, Eva, Rylee, Claire for 37 minutes in the morning.\"\n13861,2019/03/01,\"I had pancakes for breakfast with Emily, Andrew, Carter\",\"I had pancakes for breakfast with Emily, Andrew, Carter\"\n13862,2019/03/01,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n13863,2019/03/01,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n13864,2019/03/01,\"I spent 15 talking to Nevaeh, Piper, Piper on various topics in the early afternoon.\",\"I spent 15 talking to Nevaeh, Piper, Piper on various topics in the early afternoon.\"\n13865,2019/03/01,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n13866,2019/03/02,\"I spent time gardening on 2019/03/02 with Benjamin, Avery.\",\"I spent time gardening on 2019/03/02 with Benjamin, Avery.\"\n13867,2019/03/02,\"I had cereals for breakfast with Emily, Kayden\",\"I had cereals for breakfast with Emily, Kayden\"\n13868,2019/03/02,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n13869,2019/03/02,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n13870,2019/03/03,I did swimming on 2019/03/03.,I did swimming on 2019/03/03.\n13871,2019/03/04,\"I went grocery shopping. I bought some bananas, raspberries, blueberries, nectarines, mango juice, mineral water, pineapple juice, orange juice, and body lotion\",\"I went grocery shopping. I bought some bananas, raspberries, blueberries, nectarines, mango juice, mineral water, pineapple juice, orange juice, and body lotion\"\n13872,2019/03/04,\"I spent 33 talking to Piper, Kinsley on various topics late in the evening.\",\"I spent 33 talking to Piper, Kinsley on various topics late in the evening.\"\n13873,2019/03/04,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n13874,2019/03/05,I did HIIT on 2019/03/05.,I did HIIT on 2019/03/05.\n13875,2019/03/05,\"I had lunch with Carter, Andrew, Emily, Kayden. I ate steak.\",\"I had lunch with Carter, Andrew, Emily, Kayden. I ate steak.\"\n13876,2019/03/05,\"I had dinner with Benjamin, Jackson, Avery. I ate chinese food.\",\"I had dinner with Benjamin, Jackson, Avery. I ate chinese food.\"\n13877,2019/03/05,\"I talked to Layla, Olivia for 27 minutes in the morning.\",\"I talked to Layla, Olivia for 27 minutes in the morning.\"\n13878,2019/03/05,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n13879,2019/03/06,I did biking on 2019/03/06.,I did biking on 2019/03/06.\n13880,2019/03/06,\"I had indian food for lunch with Andrew, Carter, Emily, Kayden\",\"I had indian food for lunch with Andrew, Carter, Emily, Kayden\"\n13881,2019/03/07,\"I bought some guava, peaches, chocolate milk, mouthwash from the grocery store. I saw Emily, Andrew at the grocery store.\",\"I bought some guava, peaches, chocolate milk, mouthwash from the grocery store. I saw Emily, Andrew at the grocery store.\"\n13882,2019/03/07,I did hiking on 2019/03/07.,I did hiking on 2019/03/07.\n13883,2019/03/07,\"I had breakfast with Emily, Andrew, Carter. I ate toast and cheese.\",\"I had breakfast with Emily, Andrew, Carter. I ate toast and cheese.\"\n13884,2019/03/07,\"I spent 53 talking to Lydia, Kinsley, Nevaeh on various topics in the early evening.\",\"I spent 53 talking to Lydia, Kinsley, Nevaeh on various topics in the early evening.\"\n13885,2019/03/08,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n13886,2019/03/08,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n13887,2019/03/08,\"I spent 12 talking to Kinsley, Claire, Piper on various topics in the late afternoon.\",\"I spent 12 talking to Kinsley, Claire, Piper on various topics in the late afternoon.\"\n13888,2019/03/08,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n13889,2019/03/08,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n13890,2019/03/09,I did running on 2019/03/09.,I did running on 2019/03/09.\n13891,2019/03/09,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n13892,2019/03/10,\"On 2019/03/10 Andrew, Kayden, Carter and I went to Shanghai, China together for 14 days \",\"On 2019/03/10 Andrew, Kayden, Carter and I went to Shanghai, China together for 14 days \"\n13893,2019/03/10,\"I talked to Claire, Layla for 30 minutes in the morning.\",\"I talked to Claire, Layla for 30 minutes in the morning.\"\n13894,2019/03/11,\"I went grocery shopping with Piper, Olivia, Nevaeh, Nora, Piper, Eva, Kinsley, Claire. I bought some watermelons, mandarins, mango juice, and conditioner, toothbrush, shampoo\",\"I went grocery shopping with Piper, Olivia, Nevaeh, Nora, Piper, Eva, Kinsley, Claire. I bought some watermelons, mandarins, mango juice, and conditioner, toothbrush, shampoo\"\n13895,2019/03/11,I did HIIT on 2019/03/11.,I did HIIT on 2019/03/11.\n13896,2019/03/11,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n13897,2019/03/11,I had dinner with Kayden. I ate chinese food.,I had dinner with Kayden. I ate chinese food.\n13898,2019/03/12,\"I ate Japanese food at Wanhangdu Lu junction with Andrew, Kayden, Carter on  2019/03/12 when I was in Shanghai, China.\",\"I ate Japanese food at Wanhangdu Lu junction with Andrew, Kayden, Carter on  2019/03/12 when I was in Shanghai, China.\"\n13899,2019/03/12,I ate cereals for breakfast.,I ate cereals for breakfast.\n13900,2019/03/12,I ate steak for dinner.,I ate steak for dinner.\n13901,2019/03/12,\"I talked to Hazel, Kinsley for 40 minutes in the early evening.\",\"I talked to Hazel, Kinsley for 40 minutes in the early evening.\"\n13902,2019/03/12,I talked to Rylee for 17 minutes in the morning.,I talked to Rylee for 17 minutes in the morning.\n13903,2019/03/13,\"I ate Chinese food at South Bund Fabric Market with Andrew, Kayden, Carter on  2019/03/13 when I was in Shanghai, China.\",\"I ate Chinese food at South Bund Fabric Market with Andrew, Kayden, Carter on  2019/03/13 when I was in Shanghai, China.\"\n13904,2019/03/13,I ate indian food for lunch.,I ate indian food for lunch.\n13905,2019/03/13,\"I spent 29 talking to Nora, Rylee, Olivia, Kinsley on various topics in the early afternoon.\",\"I spent 29 talking to Nora, Rylee, Olivia, Kinsley on various topics in the early afternoon.\"\n13906,2019/03/13,\"I spent 40 talking to Piper, Layla, Rylee on various topics late in the evening.\",\"I spent 40 talking to Piper, Layla, Rylee on various topics late in the evening.\"\n13907,2019/03/13,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n13908,2019/03/14,I did biking on 2019/03/14.,I did biking on 2019/03/14.\n13909,2019/03/14,\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\"\n13910,2019/03/14,\"I had lunch with Nevaeh, Nora, Olivia, Rylee, Lydia, Eva, Hazel, Layla, Claire, Kinsley, Piper. I ate steak.\",\"I had lunch with Nevaeh, Nora, Olivia, Rylee, Lydia, Eva, Hazel, Layla, Claire, Kinsley, Piper. I ate steak.\"\n13911,2019/03/14,I prepare steak for dinner.,I prepare steak for dinner.\n13912,2019/03/14,\"I spent 12 talking to Lydia, Piper, Layla on various topics late in the evening.\",\"I spent 12 talking to Lydia, Piper, Layla on various topics late in the evening.\"\n13913,2019/03/14,\"I spent 39 talking to Piper, Avery on various topics during lunch hours.\",\"I spent 39 talking to Piper, Avery on various topics during lunch hours.\"\n13914,2019/03/14,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n13915,2019/03/15,\"I ate Italian food at Fangbang Xi Lu with Andrew, Kayden, Carter on  2019/03/15 when I was in Shanghai, China.\",\"I ate Italian food at Fangbang Xi Lu with Andrew, Kayden, Carter on  2019/03/15 when I was in Shanghai, China.\"\n13916,2019/03/15,\"I had lunch with Carter, Emily. I ate tacos.\",\"I had lunch with Carter, Emily. I ate tacos.\"\n13917,2019/03/15,\"I talked to Olivia, Piper, Nora, Lydia for 20 minutes in the late afternoon.\",\"I talked to Olivia, Piper, Nora, Lydia for 20 minutes in the late afternoon.\"\n13918,2019/03/15,\"I spent 50 talking to Claire, Piper, Avery, Rylee on various topics late in the evening.\",\"I spent 50 talking to Claire, Piper, Avery, Rylee on various topics late in the evening.\"\n13919,2019/03/15,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n13920,2019/03/16,\"I bought some clementines, mineral water, pineapple juice, soda, toothbrush, body lotion, mouthwash online.\",\"I bought some clementines, mineral water, pineapple juice, soda, toothbrush, body lotion, mouthwash online.\"\n13921,2019/03/16,I did HIIT on 2019/03/16.,I did HIIT on 2019/03/16.\n13922,2019/03/16,I ate chinese food for lunch.,I ate chinese food for lunch.\n13923,2019/03/16,\"I talked to Kinsley, Hazel for 20 minutes during lunch hours.\",\"I talked to Kinsley, Hazel for 20 minutes during lunch hours.\"\n13924,2019/03/17,\"I ate street food at Yuyuan Lu junction with Andrew, Kayden, Carter on  2019/03/17 when I was in Shanghai, China.\",\"I ate street food at Yuyuan Lu junction with Andrew, Kayden, Carter on  2019/03/17 when I was in Shanghai, China.\"\n13925,2019/03/17,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n13926,2019/03/17,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n13927,2019/03/18,I did biking on 2019/03/18.,I did biking on 2019/03/18.\n13928,2019/03/18,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n13929,2019/03/18,\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate tacos.\",\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate tacos.\"\n13930,2019/03/18,I talked to Nevaeh for 14 minutes in the early evening.,I talked to Nevaeh for 14 minutes in the early evening.\n13931,2019/03/18,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n13932,2019/03/19,\"I ate Japanese food at South Bund Fabric Market with Andrew, Kayden, Carter on  2019/03/19 when I was in Shanghai, China.\",\"I ate Japanese food at South Bund Fabric Market with Andrew, Kayden, Carter on  2019/03/19 when I was in Shanghai, China.\"\n13933,2019/03/19,\"I bought some pears, raspberries, mangos, bananas, pineapple juice, soda, tea, chocolate milk, conditioner, toothbrush online.\",\"I bought some pears, raspberries, mangos, bananas, pineapple juice, soda, tea, chocolate milk, conditioner, toothbrush online.\"\n13934,2019/03/19,I ate sandwich for lunch.,I ate sandwich for lunch.\n13935,2019/03/19,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n13936,2019/03/20,\"I ate local food at Fangbang Xi Lu with Andrew, Kayden, Carter on  2019/03/20 when I was in Shanghai, China.\",\"I ate local food at Fangbang Xi Lu with Andrew, Kayden, Carter on  2019/03/20 when I was in Shanghai, China.\"\n13937,2019/03/20,I ate cereals for breakfast.,I ate cereals for breakfast.\n13938,2019/03/20,I spent 35 minutes watching a movie on TV today.,I spent 35 minutes watching a movie on TV today.\n13939,2019/03/21,\"I ate Italian food at South Bund Fabric Market with Andrew, Kayden, Carter on  2019/03/21 when I was in Shanghai, China.\",\"I ate Italian food at South Bund Fabric Market with Andrew, Kayden, Carter on  2019/03/21 when I was in Shanghai, China.\"\n13940,2019/03/21,\"I talked to Olivia, Claire for 28 minutes in the early evening.\",\"I talked to Olivia, Claire for 28 minutes in the early evening.\"\n13941,2019/03/21,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n13942,2019/03/22,\"I ate street food at Wanhangdu Lu junction with Andrew, Kayden, Carter on  2019/03/22 when I was in Shanghai, China.\",\"I ate street food at Wanhangdu Lu junction with Andrew, Kayden, Carter on  2019/03/22 when I was in Shanghai, China.\"\n13943,2019/03/22,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n13944,2019/03/22,I ate a burger for dinner.,I ate a burger for dinner.\n13945,2019/03/22,I talked to Piper for 25 minutes in the early evening.,I talked to Piper for 25 minutes in the early evening.\n13946,2019/03/22,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n13947,2019/03/22,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n13948,2019/03/23,\"I ate Italian food at Fangbang Xi Lu with Andrew, Kayden, Carter on  2019/03/23 when I was in Shanghai, China.\",\"I ate Italian food at Fangbang Xi Lu with Andrew, Kayden, Carter on  2019/03/23 when I was in Shanghai, China.\"\n13949,2019/03/23,I went for an annual dental cleaning and checkup on 2019/03/23 at the university hospital.,I went for an annual dental cleaning and checkup on 2019/03/23 at the university hospital.\n13950,2019/03/23,\"I had toast and cheese for breakfast with Jackson, Avery, Willow, Benjamin\",\"I had toast and cheese for breakfast with Jackson, Avery, Willow, Benjamin\"\n13951,2019/03/23,\"I spent 38 talking to Nora, Avery, Lydia, Olivia on various topics in the early evening.\",\"I spent 38 talking to Nora, Avery, Lydia, Olivia on various topics in the early evening.\"\n13952,2019/03/24,\"I ate Italian food at Wanhangdu Lu junction with Andrew, Kayden, Carter on  2019/03/24 when I was in Shanghai, China.\",\"I ate Italian food at Wanhangdu Lu junction with Andrew, Kayden, Carter on  2019/03/24 when I was in Shanghai, China.\"\n13953,2019/03/24,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n13954,2019/03/24,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n13955,2019/03/25,\"On 2019/03/25, I took Hudson on a date to a restaurant\",\"On 2019/03/25, I took Hudson on a date to a restaurant\"\n13956,2019/03/25,\"I went grocery shopping. I bought some nectarines, apples, blackberries, mango juice, orange juice, mineral water, milk, and toilet paper, shaving cream, mouthwash\",\"I went grocery shopping. I bought some nectarines, apples, blackberries, mango juice, orange juice, mineral water, milk, and toilet paper, shaving cream, mouthwash\"\n13957,2019/03/25,\"I had toast and cheese for breakfast with Carter, Kayden, Emily, Andrew\",\"I had toast and cheese for breakfast with Carter, Kayden, Emily, Andrew\"\n13958,2019/03/25,\"I had indian food for lunch with Piper, Kinsley, Claire\",\"I had indian food for lunch with Piper, Kinsley, Claire\"\n13959,2019/03/25,I ate sandwich for dinner.,I ate sandwich for dinner.\n13960,2019/03/25,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n13961,2019/03/26,I did swimming on 2019/03/26.,I did swimming on 2019/03/26.\n13962,2019/03/26,\"I had eggs, sausages, and bread for breakfast with Eva, Rylee, Piper, Claire, Lydia, Nevaeh, Avery, Piper, Olivia, Layla, Nora\",\"I had eggs, sausages, and bread for breakfast with Eva, Rylee, Piper, Claire, Lydia, Nevaeh, Avery, Piper, Olivia, Layla, Nora\"\n13963,2019/03/26,\"I had chinese food for dinner with Benjamin, Avery, Willow, Jackson\",\"I had chinese food for dinner with Benjamin, Avery, Willow, Jackson\"\n13964,2019/03/27,I did weight lifting on 2019/03/27.,I did weight lifting on 2019/03/27.\n13965,2019/03/27,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n13966,2019/03/27,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n13967,2019/03/27,\"I talked to Claire, Lydia, Hazel for 23 minutes late in the evening.\",\"I talked to Claire, Lydia, Hazel for 23 minutes late in the evening.\"\n13968,2019/03/27,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n13969,2019/03/27,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n13970,2019/03/28,I did HIIT on 2019/03/28.,I did HIIT on 2019/03/28.\n13971,2019/03/28,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n13972,2019/03/28,\"I talked to Nevaeh, Olivia, Eva, Piper for 35 minutes in the late afternoon.\",\"I talked to Nevaeh, Olivia, Eva, Piper for 35 minutes in the late afternoon.\"\n13973,2019/03/28,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n13974,2019/03/29,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n13975,2019/03/29,I prepare indian food for dinner.,I prepare indian food for dinner.\n13976,2019/03/29,\"I talked to Nevaeh, Olivia, Layla for 22 minutes in the early evening.\",\"I talked to Nevaeh, Olivia, Layla for 22 minutes in the early evening.\"\n13977,2019/03/29,\"I spent 44 talking to Avery, Nevaeh, Layla on various topics in the early afternoon.\",\"I spent 44 talking to Avery, Nevaeh, Layla on various topics in the early afternoon.\"\n13978,2019/03/30,I really enjoyed yoga on 2019/03/30,I really enjoyed yoga on 2019/03/30\n13979,2019/03/30,I did weight lifting on 2019/03/30.,I did weight lifting on 2019/03/30.\n13980,2019/03/30,\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate pancakes.\",\"I had breakfast with Emily, Kayden, Carter, Andrew. I ate pancakes.\"\n13981,2019/03/30,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n13982,2019/03/30,I spent 8 talking to Piper on various topics in the late afternoon.,I spent 8 talking to Piper on various topics in the late afternoon.\n13983,2019/03/30,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n13984,2019/03/31,\"On 2019/03/31, I took Joseph on a date to a boba shop\",\"On 2019/03/31, I took Joseph on a date to a boba shop\"\n13985,2019/03/31,I did hiking on 2019/03/31.,I did hiking on 2019/03/31.\n13986,2019/03/31,\"I had sushi for lunch with Rylee, Nora, Nevaeh, Hazel, Claire, Piper, Olivia, Avery\",\"I had sushi for lunch with Rylee, Nora, Nevaeh, Hazel, Claire, Piper, Olivia, Avery\"\n13987,2019/03/31,\"I spent 48 talking to Nevaeh, Piper, Kinsley on various topics in the early evening.\",\"I spent 48 talking to Nevaeh, Piper, Kinsley on various topics in the early evening.\"\n13988,2019/03/31,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n13989,2019/04/01,\"I had lunch with Rylee, Avery, Layla, Nevaeh, Olivia. I ate tacos.\",\"I had lunch with Rylee, Avery, Layla, Nevaeh, Olivia. I ate tacos.\"\n13990,2019/04/01,\"I had dinner with Piper, Rylee, Avery, Claire, Piper, Kinsley, Nevaeh, Eva. I ate a burger.\",\"I had dinner with Piper, Rylee, Avery, Claire, Piper, Kinsley, Nevaeh, Eva. I ate a burger.\"\n13991,2019/04/01,\"I spent 44 talking to Olivia, Hazel, Piper on various topics in the late afternoon.\",\"I spent 44 talking to Olivia, Hazel, Piper on various topics in the late afternoon.\"\n13992,2019/04/02,\"I had breakfast with Lydia, Eva. I ate peanut-butter-jam.\",\"I had breakfast with Lydia, Eva. I ate peanut-butter-jam.\"\n13993,2019/04/02,\"I had lunch with Rylee, Hazel, Piper, Piper, Claire, Avery, Kinsley, Nevaeh, Nora, Eva, Olivia, Layla, Lydia. I ate tacos.\",\"I had lunch with Rylee, Hazel, Piper, Piper, Claire, Avery, Kinsley, Nevaeh, Nora, Eva, Olivia, Layla, Lydia. I ate tacos.\"\n13994,2019/04/03,I did biking on 2019/04/03.,I did biking on 2019/04/03.\n13995,2019/04/03,\"I had dinner with Avery, Benjamin. I ate fish and chips.\",\"I had dinner with Avery, Benjamin. I ate fish and chips.\"\n13996,2019/04/03,\"I spent 54 talking to Nora, Kinsley on various topics in the late afternoon.\",\"I spent 54 talking to Nora, Kinsley on various topics in the late afternoon.\"\n13997,2019/04/03,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n13998,2019/04/04,I prepare a burger for lunch.,I prepare a burger for lunch.\n13999,2019/04/04,I prepare sushi for dinner.,I prepare sushi for dinner.\n14000,2019/04/04,\"I talked to Layla, Olivia, Hazel for 43 minutes during lunch hours.\",\"I talked to Layla, Olivia, Hazel for 43 minutes during lunch hours.\"\n14001,2019/04/04,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n14002,2019/04/04,I watched a tv series for 38 minutes on TV today.,I watched a tv series for 38 minutes on TV today.\n14003,2019/04/05,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n14004,2019/04/05,I ate sushi for lunch.,I ate sushi for lunch.\n14005,2019/04/05,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n14006,2019/04/06,I did HIIT on 2019/04/06.,I did HIIT on 2019/04/06.\n14007,2019/04/06,\"I had lunch with Emily, Andrew, Kayden. I ate tacos.\",\"I had lunch with Emily, Andrew, Kayden. I ate tacos.\"\n14008,2019/04/07,\"I had lunch with Nora, Piper, Layla, Rylee, Olivia, Claire, Avery, Lydia. I ate pasta.\",\"I had lunch with Nora, Piper, Layla, Rylee, Olivia, Claire, Avery, Lydia. I ate pasta.\"\n14009,2019/04/07,\"I had dinner with Kayden, Carter. I ate pasta.\",\"I had dinner with Kayden, Carter. I ate pasta.\"\n14010,2019/04/07,\"I spent 53 talking to Avery, Nevaeh, Lydia, Rylee on various topics in the late afternoon.\",\"I spent 53 talking to Avery, Nevaeh, Lydia, Rylee on various topics in the late afternoon.\"\n14011,2019/04/07,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n14012,2019/04/08,\"On 2019/04/08, I took Theodore on a date to a boba shop\",\"On 2019/04/08, I took Theodore on a date to a boba shop\"\n14013,2019/04/08,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n14014,2019/04/08,\"I had chinese food for dinner with Olivia, Layla, Avery, Nevaeh, Rylee, Hazel, Piper\",\"I had chinese food for dinner with Olivia, Layla, Avery, Nevaeh, Rylee, Hazel, Piper\"\n14015,2019/04/08,\"I spent 49 talking to Hazel, Layla, Rylee, Claire on various topics in the morning.\",\"I spent 49 talking to Hazel, Layla, Rylee, Claire on various topics in the morning.\"\n14016,2019/04/08,I spent 28 minutes reading a book today.,I spent 28 minutes reading a book today.\n14017,2019/04/08,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n14018,2019/04/09,I did biking on 2019/04/09.,I did biking on 2019/04/09.\n14019,2019/04/09,I had a burger for dinner with Emily,I had a burger for dinner with Emily\n14020,2019/04/09,I talked to Lydia for 36 minutes late in the evening.,I talked to Lydia for 36 minutes late in the evening.\n14021,2019/04/09,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n14022,2019/04/10,\"I had peanut-butter-jam for breakfast with Emily, Andrew, Carter\",\"I had peanut-butter-jam for breakfast with Emily, Andrew, Carter\"\n14023,2019/04/10,I prepare tacos for lunch.,I prepare tacos for lunch.\n14024,2019/04/10,I spent 17 talking to Lydia on various topics in the morning.,I spent 17 talking to Lydia on various topics in the morning.\n14025,2019/04/10,\"I spent 27 talking to Nevaeh, Piper on various topics in the early afternoon.\",\"I spent 27 talking to Nevaeh, Piper on various topics in the early afternoon.\"\n14026,2019/04/10,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n14027,2019/04/11,I did hiking on 2019/04/11.,I did hiking on 2019/04/11.\n14028,2019/04/11,I talked to Nora for 39 minutes during lunch hours.,I talked to Nora for 39 minutes during lunch hours.\n14029,2019/04/11,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n14030,2019/04/12,I prepare steak for lunch.,I prepare steak for lunch.\n14031,2019/04/12,\"I had chinese food for dinner with Emily, Kayden, Carter\",\"I had chinese food for dinner with Emily, Kayden, Carter\"\n14032,2019/04/12,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n14033,2019/04/13,\"I went grocery shopping. I bought some oranges, peaches, nectarines, bananas, guava juice, soda, mineral water, orange juice, and toilet paper, body lotion\",\"I went grocery shopping. I bought some oranges, peaches, nectarines, bananas, guava juice, soda, mineral water, orange juice, and toilet paper, body lotion\"\n14034,2019/04/13,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n14035,2019/04/14,\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate peanut-butter-jam.\"\n14036,2019/04/14,\"I had dinner with Piper, Nevaeh, Rylee, Hazel, Kinsley. I ate indian food.\",\"I had dinner with Piper, Nevaeh, Rylee, Hazel, Kinsley. I ate indian food.\"\n14037,2019/04/14,I talked to Nevaeh for 41 minutes late in the evening.,I talked to Nevaeh for 41 minutes late in the evening.\n14038,2019/04/15,I had dinner with Emily. I ate sandwich.,I had dinner with Emily. I ate sandwich.\n14039,2019/04/15,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n14040,2019/04/16,\"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\"\n14041,2019/04/16,\"I had lunch with Nevaeh, Rylee, Claire, Avery, Olivia, Eva. I ate sushi.\",\"I had lunch with Nevaeh, Rylee, Claire, Avery, Olivia, Eva. I ate sushi.\"\n14042,2019/04/16,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n14043,2019/04/17,\"I was cooking sushi, chicken and gravy on 2019/04/17 with Layla, Claire, Olivia, Kinsley at my place\",\"I was cooking sushi, chicken and gravy on 2019/04/17 with Layla, Claire, Olivia, Kinsley at my place\"\n14044,2019/04/17,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n14045,2019/04/17,I spent 31 minutes on social media today.,I spent 31 minutes on social media today.\n14046,2019/04/18,I did hiking on 2019/04/18.,I did hiking on 2019/04/18.\n14047,2019/04/18,\"I spent 53 talking to Claire, Layla, Avery on various topics in the late afternoon.\",\"I spent 53 talking to Claire, Layla, Avery on various topics in the late afternoon.\"\n14048,2019/04/18,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n14049,2019/04/19,Kayden for his/her  and I went for an annual physical checkup at the private clinic on 2019/04/19.,Kayden for his/her  and I went for an annual physical checkup at the private clinic on 2019/04/19.\n14050,2019/04/19,I did running on 2019/04/19.,I did running on 2019/04/19.\n14051,2019/04/19,I had peanut-butter-jam for breakfast with Andrew,I had peanut-butter-jam for breakfast with Andrew\n14052,2019/04/19,\"I spent 25 talking to Avery, Piper on various topics late in the evening.\",\"I spent 25 talking to Avery, Piper on various topics late in the evening.\"\n14053,2019/04/19,\"I spent 7 talking to Lydia, Nora, Nevaeh, Olivia on various topics in the morning.\",\"I spent 7 talking to Lydia, Nora, Nevaeh, Olivia on various topics in the morning.\"\n14054,2019/04/19,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n14055,2019/04/20,\"I went grocery shopping. I bought some mangos, blackberries, pineapple juice, sports drinks, and body lotion, toilet paper\",\"I went grocery shopping. I bought some mangos, blackberries, pineapple juice, sports drinks, and body lotion, toilet paper\"\n14056,2019/04/20,I ate sandwich for lunch.,I ate sandwich for lunch.\n14057,2019/04/20,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n14058,2019/04/20,I spent 48 talking to Eva on various topics in the early afternoon.,I spent 48 talking to Eva on various topics in the early afternoon.\n14059,2019/04/20,\"I talked to Hazel, Avery, Olivia for 49 minutes in the early afternoon.\",\"I talked to Hazel, Avery, Olivia for 49 minutes in the early afternoon.\"\n14060,2019/04/21,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n14061,2019/04/21,\"I spent 47 talking to Olivia, Nevaeh, Layla on various topics in the early afternoon.\",\"I spent 47 talking to Olivia, Nevaeh, Layla on various topics in the early afternoon.\"\n14062,2019/04/21,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n14063,2019/04/21,I spent 17 minutes watching a tv series on TV today.,I spent 17 minutes watching a tv series on TV today.\n14064,2019/04/22,\"I had lunch with Benjamin, Jackson, Willow. I ate tacos.\",\"I had lunch with Benjamin, Jackson, Willow. I ate tacos.\"\n14065,2019/04/22,I ate sandwich for dinner.,I ate sandwich for dinner.\n14066,2019/04/22,\"I spent 10 talking to Claire, Hazel on various topics in the early afternoon.\",\"I spent 10 talking to Claire, Hazel on various topics in the early afternoon.\"\n14067,2019/04/22,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n14068,2019/04/23,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n14069,2019/04/23,\"I had lunch with Carter, Emily, Andrew. I ate sushi.\",\"I had lunch with Carter, Emily, Andrew. I ate sushi.\"\n14070,2019/04/23,I talked to Avery for 51 minutes in the early afternoon.,I talked to Avery for 51 minutes in the early afternoon.\n14071,2019/04/23,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n14072,2019/04/24,I did biking on 2019/04/24.,I did biking on 2019/04/24.\n14073,2019/04/24,I ate chinese food for lunch.,I ate chinese food for lunch.\n14074,2019/04/24,\"I spent 15 talking to Eva, Nevaeh, Piper on various topics during lunch hours.\",\"I spent 15 talking to Eva, Nevaeh, Piper on various topics during lunch hours.\"\n14075,2019/04/25,I spent 21 talking to Hazel on various topics during lunch hours.,I spent 21 talking to Hazel on various topics during lunch hours.\n14076,2019/04/25,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n14077,2019/04/25,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n14078,2019/04/26,I did swimming on 2019/04/26.,I did swimming on 2019/04/26.\n14079,2019/04/26,\"I had toast and cheese for breakfast with Rylee, Lydia, Olivia, Hazel, Nora, Piper, Eva, Claire, Piper, Kinsley, Avery, Nevaeh\",\"I had toast and cheese for breakfast with Rylee, Lydia, Olivia, Hazel, Nora, Piper, Eva, Claire, Piper, Kinsley, Avery, Nevaeh\"\n14080,2019/04/26,\"I had indian food for lunch with Kayden, Carter, Emily\",\"I had indian food for lunch with Kayden, Carter, Emily\"\n14081,2019/04/26,\"I had dinner with Nora, Piper, Rylee, Olivia, Piper, Kinsley, Hazel, Nevaeh, Layla, Eva, Avery, Lydia, Claire. I ate steak.\",\"I had dinner with Nora, Piper, Rylee, Olivia, Piper, Kinsley, Hazel, Nevaeh, Layla, Eva, Avery, Lydia, Claire. I ate steak.\"\n14082,2019/04/26,I talked to Nevaeh for 22 minutes during lunch hours.,I talked to Nevaeh for 22 minutes during lunch hours.\n14083,2019/04/26,I talked to Piper for 43 minutes late in the evening.,I talked to Piper for 43 minutes late in the evening.\n14084,2019/04/26,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n14085,2019/04/27,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n14086,2019/04/27,I had tacos for lunch with Emily,I had tacos for lunch with Emily\n14087,2019/04/27,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n14088,2019/04/27,\"I talked to Eva, Piper, Hazel for 50 minutes late in the evening.\",\"I talked to Eva, Piper, Hazel for 50 minutes late in the evening.\"\n14089,2019/04/27,I spent 32 minutes reading news today.,I spent 32 minutes reading news today.\n14090,2019/04/27,I watched news for 49 minutes on TV today.,I watched news for 49 minutes on TV today.\n14091,2019/04/28,\"I had toast and cheese for breakfast with Avery, Olivia, Hazel, Piper, Kinsley, Claire, Piper, Lydia, Layla, Rylee, Nevaeh\",\"I had toast and cheese for breakfast with Avery, Olivia, Hazel, Piper, Kinsley, Claire, Piper, Lydia, Layla, Rylee, Nevaeh\"\n14092,2019/04/28,I had lunch with Willow. I ate sushi.,I had lunch with Willow. I ate sushi.\n14093,2019/04/28,I ate pasta for dinner.,I ate pasta for dinner.\n14094,2019/04/28,\"I spent 41 talking to Claire, Layla, Nora on various topics during lunch hours.\",\"I spent 41 talking to Claire, Layla, Nora on various topics during lunch hours.\"\n14095,2019/04/29,\"I bought some clementines, mandarins, blackberries, bananas, milk, tea, apple juice, coffee, mouth wash from the grocery store. I saw Olivia, Lydia, Avery, Claire, Piper, Nevaeh, Layla, Rylee, Eva, Kinsley, Nora, Hazel at the grocery store.\",\"I bought some clementines, mandarins, blackberries, bananas, milk, tea, apple juice, coffee, mouth wash from the grocery store. I saw Olivia, Lydia, Avery, Claire, Piper, Nevaeh, Layla, Rylee, Eva, Kinsley, Nora, Hazel at the grocery store.\"\n14096,2019/04/29,I prepare pasta for lunch.,I prepare pasta for lunch.\n14097,2019/04/29,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n14098,2019/04/29,\"I spent 43 talking to Layla, Eva, Piper on various topics late in the evening.\",\"I spent 43 talking to Layla, Eva, Piper on various topics late in the evening.\"\n14099,2019/04/30,I did biking on 2019/04/30.,I did biking on 2019/04/30.\n14100,2019/04/30,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n14101,2019/04/30,\"I had dinner with Piper, Olivia. I ate tacos.\",\"I had dinner with Piper, Olivia. I ate tacos.\"\n14102,2019/04/30,\"I spent 12 talking to Olivia, Rylee, Avery on various topics in the early afternoon.\",\"I spent 12 talking to Olivia, Rylee, Avery on various topics in the early afternoon.\"\n14103,2019/04/30,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n14104,2019/05/01,I did weight lifting on 2019/05/01.,I did weight lifting on 2019/05/01.\n14105,2019/05/01,\"I talked to Olivia, Lydia for 39 minutes during lunch hours.\",\"I talked to Olivia, Lydia for 39 minutes during lunch hours.\"\n14106,2019/05/01,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n14107,2019/05/01,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n14108,2019/05/02,I really enjoyed yoga on 2019/05/02,I really enjoyed yoga on 2019/05/02\n14109,2019/05/02,I did HIIT on 2019/05/02.,I did HIIT on 2019/05/02.\n14110,2019/05/02,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n14111,2019/05/02,I talked to Nora for 49 minutes late in the evening.,I talked to Nora for 49 minutes late in the evening.\n14112,2019/05/02,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n14113,2019/05/02,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n14114,2019/05/03,\"I went grocery shopping. I bought some mandarins, clementines, pineapple juice, and body lotion, shaving cream, mouth wash, toothbrush\",\"I went grocery shopping. I bought some mandarins, clementines, pineapple juice, and body lotion, shaving cream, mouth wash, toothbrush\"\n14115,2019/05/03,\"I had lunch with Carter, Andrew, Kayden, Emily. I ate pasta.\",\"I had lunch with Carter, Andrew, Kayden, Emily. I ate pasta.\"\n14116,2019/05/03,I talked to Lydia for 15 minutes in the early evening.,I talked to Lydia for 15 minutes in the early evening.\n14117,2019/05/03,\"I spent 40 talking to Eva, Claire, Layla, Piper on various topics in the morning.\",\"I spent 40 talking to Eva, Claire, Layla, Piper on various topics in the morning.\"\n14118,2019/05/03,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n14119,2019/05/04,I prepare pasta for lunch.,I prepare pasta for lunch.\n14120,2019/05/04,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n14121,2019/05/04,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n14122,2019/05/04,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n14123,2019/05/05,I did HIIT on 2019/05/05.,I did HIIT on 2019/05/05.\n14124,2019/05/05,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n14125,2019/05/05,\"I had lunch with Kayden, Andrew. I ate chinese food.\",\"I had lunch with Kayden, Andrew. I ate chinese food.\"\n14126,2019/05/05,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n14127,2019/05/06,\"I had sushi for dinner with Kinsley, Hazel, Lydia\",\"I had sushi for dinner with Kinsley, Hazel, Lydia\"\n14128,2019/05/06,\"I talked to Avery, Nevaeh for 34 minutes late in the evening.\",\"I talked to Avery, Nevaeh for 34 minutes late in the evening.\"\n14129,2019/05/07,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n14130,2019/05/07,\"I had steak for lunch with Layla, Eva, Claire, Piper, Hazel, Piper, Lydia, Avery\",\"I had steak for lunch with Layla, Eva, Claire, Piper, Hazel, Piper, Lydia, Avery\"\n14131,2019/05/07,\"I had dinner with Willow, Jackson. I ate sushi.\",\"I had dinner with Willow, Jackson. I ate sushi.\"\n14132,2019/05/07,\"I talked to Avery, Eva, Hazel for 38 minutes during lunch hours.\",\"I talked to Avery, Eva, Hazel for 38 minutes during lunch hours.\"\n14133,2019/05/08,I did running on 2019/05/08.,I did running on 2019/05/08.\n14134,2019/05/08,\"I had tacos for lunch with Willow, Benjamin, Avery\",\"I had tacos for lunch with Willow, Benjamin, Avery\"\n14135,2019/05/08,I watched a documentary for 5 minutes on TV today.,I watched a documentary for 5 minutes on TV today.\n14136,2019/05/09,I went on a date with William on 2019/05/09 at a park,I went on a date with William on 2019/05/09 at a park\n14137,2019/05/09,I prepare pasta for lunch.,I prepare pasta for lunch.\n14138,2019/05/09,I watched news for 36 minutes on TV today.,I watched news for 36 minutes on TV today.\n14139,2019/05/10,\"I had breakfast with Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery. I ate eggs, sausages, and bread.\"\n14140,2019/05/10,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n14141,2019/05/10,\"I talked to Avery, Layla, Claire, Kinsley for 33 minutes in the late afternoon.\",\"I talked to Avery, Layla, Claire, Kinsley for 33 minutes in the late afternoon.\"\n14142,2019/05/10,I spent 9 minutes reading a book today.,I spent 9 minutes reading a book today.\n14143,2019/05/10,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n14144,2019/05/11,I did weight lifting on 2019/05/11.,I did weight lifting on 2019/05/11.\n14145,2019/05/11,\"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate eggs, sausages, and bread.\",\"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate eggs, sausages, and bread.\"\n14146,2019/05/11,\"I had dinner with Claire, Lydia, Avery, Nevaeh, Eva, Kinsley, Nora, Hazel, Rylee, Layla. I ate tacos.\",\"I had dinner with Claire, Lydia, Avery, Nevaeh, Eva, Kinsley, Nora, Hazel, Rylee, Layla. I ate tacos.\"\n14147,2019/05/11,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n14148,2019/05/12,\"I bought some clementines, mangos, apple juice, mango juice, mineral water, mouth wash, paper towel from the grocery store. I saw Avery, Jackson, Willow at the grocery store.\",\"I bought some clementines, mangos, apple juice, mango juice, mineral water, mouth wash, paper towel from the grocery store. I saw Avery, Jackson, Willow at the grocery store.\"\n14149,2019/05/12,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n14150,2019/05/12,I had dinner. I ate steak.,I had dinner. I ate steak.\n14151,2019/05/12,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n14152,2019/05/13,I really enjoyed meditation on 2019/05/13,I really enjoyed meditation on 2019/05/13\n14153,2019/05/13,I did HIIT on 2019/05/13.,I did HIIT on 2019/05/13.\n14154,2019/05/13,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n14155,2019/05/13,I ate sandwich for lunch.,I ate sandwich for lunch.\n14156,2019/05/13,I ate tacos for dinner.,I ate tacos for dinner.\n14157,2019/05/13,\"I spent 47 talking to Olivia, Eva, Layla, Claire on various topics in the morning.\",\"I spent 47 talking to Olivia, Eva, Layla, Claire on various topics in the morning.\"\n14158,2019/05/14,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n14159,2019/05/14,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n14160,2019/05/14,\"I spent 37 talking to Hazel, Piper on various topics in the late afternoon.\",\"I spent 37 talking to Hazel, Piper on various topics in the late afternoon.\"\n14161,2019/05/14,\"I talked to Avery, Rylee, Lydia for 52 minutes in the early evening.\",\"I talked to Avery, Rylee, Lydia for 52 minutes in the early evening.\"\n14162,2019/05/14,I watched a documentary for 50 minutes on TV today.,I watched a documentary for 50 minutes on TV today.\n14163,2019/05/15,\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew. I ate eggs, sausages, and bread.\"\n14164,2019/05/15,I had lunch with Andrew. I ate pasta.,I had lunch with Andrew. I ate pasta.\n14165,2019/05/15,\"I had chinese food for dinner with Kayden, Carter, Andrew\",\"I had chinese food for dinner with Kayden, Carter, Andrew\"\n14166,2019/05/15,I spent 55 talking to Eva on various topics in the early afternoon.,I spent 55 talking to Eva on various topics in the early afternoon.\n14167,2019/05/16,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n14168,2019/05/16,\"I had dinner with Avery, Benjamin, Jackson. I ate a burger.\",\"I had dinner with Avery, Benjamin, Jackson. I ate a burger.\"\n14169,2019/05/16,\"I talked to Layla, Piper, Eva, Claire for 44 minutes during lunch hours.\",\"I talked to Layla, Piper, Eva, Claire for 44 minutes during lunch hours.\"\n14170,2019/05/16,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n14171,2019/05/16,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n14172,2019/05/17,I did biking on 2019/05/17.,I did biking on 2019/05/17.\n14173,2019/05/17,\"I spent 41 talking to Piper, Rylee, Piper on various topics in the early evening.\",\"I spent 41 talking to Piper, Rylee, Piper on various topics in the early evening.\"\n14174,2019/05/17,I spent 8 minutes on a book today.,I spent 8 minutes on a book today.\n14175,2019/05/17,I spent 55 minutes watching a movie on TV today.,I spent 55 minutes watching a movie on TV today.\n14176,2019/05/18,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n14177,2019/05/18,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n14178,2019/05/18,I had steak for dinner with Kayden,I had steak for dinner with Kayden\n14179,2019/05/18,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n14180,2019/05/18,I watched a tv series for 23 minutes on TV today.,I watched a tv series for 23 minutes on TV today.\n14181,2019/05/19,I did hiking on 2019/05/19.,I did hiking on 2019/05/19.\n14182,2019/05/19,\"I had pancakes for breakfast with Emily, Carter, Andrew\",\"I had pancakes for breakfast with Emily, Carter, Andrew\"\n14183,2019/05/19,\"I spent 23 talking to Kinsley, Piper, Avery on various topics in the late afternoon.\",\"I spent 23 talking to Kinsley, Piper, Avery on various topics in the late afternoon.\"\n14184,2019/05/19,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n14185,2019/05/20,I ate chinese food for lunch.,I ate chinese food for lunch.\n14186,2019/05/20,\"I spent 13 talking to Rylee, Lydia on various topics in the morning.\",\"I spent 13 talking to Rylee, Lydia on various topics in the morning.\"\n14187,2019/05/20,\"I spent 38 talking to Kinsley, Piper, Avery on various topics late in the evening.\",\"I spent 38 talking to Kinsley, Piper, Avery on various topics late in the evening.\"\n14188,2019/05/20,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n14189,2019/05/20,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n14190,2019/05/21,I did HIIT on 2019/05/21.,I did HIIT on 2019/05/21.\n14191,2019/05/21,I prepare sushi for lunch.,I prepare sushi for lunch.\n14192,2019/05/21,\"I spent 23 talking to Nevaeh, Avery, Olivia, Claire on various topics in the late afternoon.\",\"I spent 23 talking to Nevaeh, Avery, Olivia, Claire on various topics in the late afternoon.\"\n14193,2019/05/21,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n14194,2019/05/22,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n14195,2019/05/22,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n14196,2019/05/22,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n14197,2019/05/22,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n14198,2019/05/23,\"I entertained Claire, Layla, Olivia, Hazel at my place on 2019/05/23 and bake easy peanut butter fudge, peanut butter cookies\",\"I entertained Claire, Layla, Olivia, Hazel at my place on 2019/05/23 and bake easy peanut butter fudge, peanut butter cookies\"\n14199,2019/05/23,I did weight lifting on 2019/05/23.,I did weight lifting on 2019/05/23.\n14200,2019/05/23,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n14201,2019/05/23,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n14202,2019/05/23,\"I talked to Eva, Avery, Piper for 18 minutes in the late afternoon.\",\"I talked to Eva, Avery, Piper for 18 minutes in the late afternoon.\"\n14203,2019/05/24,I did hiking on 2019/05/24.,I did hiking on 2019/05/24.\n14204,2019/05/24,I had breakfast with Emily. I ate pancakes.,I had breakfast with Emily. I ate pancakes.\n14205,2019/05/24,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n14206,2019/05/24,I ate tacos for dinner.,I ate tacos for dinner.\n14207,2019/05/24,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n14208,2019/05/25,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n14209,2019/05/25,\"I had sushi for dinner with Lydia, Olivia, Layla, Avery, Eva, Piper, Piper, Rylee, Nevaeh, Nora, Claire, Kinsley, Hazel\",\"I had sushi for dinner with Lydia, Olivia, Layla, Avery, Eva, Piper, Piper, Rylee, Nevaeh, Nora, Claire, Kinsley, Hazel\"\n14210,2019/05/25,\"I spent 33 talking to Olivia, Piper, Hazel, Piper on various topics during lunch hours.\",\"I spent 33 talking to Olivia, Piper, Hazel, Piper on various topics during lunch hours.\"\n14211,2019/05/25,I watched a movie for 29 minutes on TV today.,I watched a movie for 29 minutes on TV today.\n14212,2019/05/26,I did running on 2019/05/26.,I did running on 2019/05/26.\n14213,2019/05/26,I ate pasta for lunch.,I ate pasta for lunch.\n14214,2019/05/26,\"I had dinner with Kayden, Andrew. I ate sandwich.\",\"I had dinner with Kayden, Andrew. I ate sandwich.\"\n14215,2019/05/26,I spent 38 talking to Eva on various topics late in the evening.,I spent 38 talking to Eva on various topics late in the evening.\n14216,2019/05/26,\"I spent 8 talking to Claire, Piper, Nora on various topics during lunch hours.\",\"I spent 8 talking to Claire, Piper, Nora on various topics during lunch hours.\"\n14217,2019/05/26,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n14218,2019/05/26,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n14219,2019/05/27,\"On 2019/05/27, I took Violet on a date to a park\",\"On 2019/05/27, I took Violet on a date to a park\"\n14220,2019/05/27,\"I went grocery shopping. I bought some cherres, nectarines, chocolate milk, mango juice, soda, and conditioner, toothpaste, shaving cream, toilet paper\",\"I went grocery shopping. I bought some cherres, nectarines, chocolate milk, mango juice, soda, and conditioner, toothpaste, shaving cream, toilet paper\"\n14221,2019/05/27,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n14222,2019/05/27,I ate a burger for dinner.,I ate a burger for dinner.\n14223,2019/05/28,I did swimming on 2019/05/28.,I did swimming on 2019/05/28.\n14224,2019/05/28,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14225,2019/05/28,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n14226,2019/05/28,I ate a burger for dinner.,I ate a burger for dinner.\n14227,2019/05/28,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n14228,2019/05/29,\"I had sandwich for dinner with Hazel, Layla, Nevaeh, Claire, Eva\",\"I had sandwich for dinner with Hazel, Layla, Nevaeh, Claire, Eva\"\n14229,2019/05/29,\"I spent 23 talking to Rylee, Layla, Olivia on various topics in the early evening.\",\"I spent 23 talking to Rylee, Layla, Olivia on various topics in the early evening.\"\n14230,2019/05/29,I spent 36 minutes reading news today.,I spent 36 minutes reading news today.\n14231,2019/05/30,I did hiking on 2019/05/30.,I did hiking on 2019/05/30.\n14232,2019/05/30,\"I had fish and chips for lunch with Nevaeh, Hazel, Avery, Rylee, Piper, Piper, Layla, Lydia, Nora, Kinsley, Olivia\",\"I had fish and chips for lunch with Nevaeh, Hazel, Avery, Rylee, Piper, Piper, Layla, Lydia, Nora, Kinsley, Olivia\"\n14233,2019/05/31,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n14234,2019/05/31,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n14235,2019/05/31,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n14236,2019/06/01,I spent time meditation on 2019/06/01 with Andrew.,I spent time meditation on 2019/06/01 with Andrew.\n14237,2019/06/01,I ate a burger for lunch.,I ate a burger for lunch.\n14238,2019/06/01,\"I had steak for dinner with Jackson, Avery\",\"I had steak for dinner with Jackson, Avery\"\n14239,2019/06/01,\"I spent 5 talking to Layla, Piper, Hazel on various topics during lunch hours.\",\"I spent 5 talking to Layla, Piper, Hazel on various topics during lunch hours.\"\n14240,2019/06/01,\"I talked to Nora, Eva, Piper for 8 minutes in the morning.\",\"I talked to Nora, Eva, Piper for 8 minutes in the morning.\"\n14241,2019/06/01,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n14242,2019/06/02,\"I talked to Avery, Kinsley, Lydia for 25 minutes in the morning.\",\"I talked to Avery, Kinsley, Lydia for 25 minutes in the morning.\"\n14243,2019/06/02,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n14244,2019/06/03,I did running on 2019/06/03.,I did running on 2019/06/03.\n14245,2019/06/03,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n14246,2019/06/03,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n14247,2019/06/03,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n14248,2019/06/04,\"I had lunch with Kayden, Carter. I ate tacos.\",\"I had lunch with Kayden, Carter. I ate tacos.\"\n14249,2019/06/04,\"I spent 20 talking to Piper, Olivia, Rylee, Nevaeh on various topics in the morning.\",\"I spent 20 talking to Piper, Olivia, Rylee, Nevaeh on various topics in the morning.\"\n14250,2019/06/04,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n14251,2019/06/05,I did weight lifting on 2019/06/05.,I did weight lifting on 2019/06/05.\n14252,2019/06/05,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n14253,2019/06/05,\"I had fish and chips for dinner with Benjamin, Avery\",\"I had fish and chips for dinner with Benjamin, Avery\"\n14254,2019/06/05,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n14255,2019/06/06,\"I went grocery shopping. I bought some raspberries, blueberries, cherres, apples, mineral water, chocolate milk, and toothpaste\",\"I went grocery shopping. I bought some raspberries, blueberries, cherres, apples, mineral water, chocolate milk, and toothpaste\"\n14256,2019/06/06,I ate cereals for breakfast.,I ate cereals for breakfast.\n14257,2019/06/06,I ate sandwich for dinner.,I ate sandwich for dinner.\n14258,2019/06/06,\"I spent 47 talking to Eva, Claire, Layla, Avery on various topics in the early evening.\",\"I spent 47 talking to Eva, Claire, Layla, Avery on various topics in the early evening.\"\n14259,2019/06/06,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n14260,2019/06/06,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n14261,2019/06/07,I did HIIT on 2019/06/07.,I did HIIT on 2019/06/07.\n14262,2019/06/07,\"I had dinner with Layla, Lydia, Nevaeh, Claire, Rylee, Kinsley, Nora, Hazel, Olivia, Piper, Piper, Eva. I ate fish and chips.\",\"I had dinner with Layla, Lydia, Nevaeh, Claire, Rylee, Kinsley, Nora, Hazel, Olivia, Piper, Piper, Eva. I ate fish and chips.\"\n14263,2019/06/07,I spent 21 talking to Piper on various topics in the late afternoon.,I spent 21 talking to Piper on various topics in the late afternoon.\n14264,2019/06/07,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n14265,2019/06/07,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n14266,2019/06/08,\"I went grocery shopping. I bought some apples, pears, mineral water, sports drinks, and shampoo\",\"I went grocery shopping. I bought some apples, pears, mineral water, sports drinks, and shampoo\"\n14267,2019/06/08,I prepare steak for lunch.,I prepare steak for lunch.\n14268,2019/06/08,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n14269,2019/06/08,I spent 42 minutes on news today.,I spent 42 minutes on news today.\n14270,2019/06/08,I spent 29 minutes watching a documentary on TV today.,I spent 29 minutes watching a documentary on TV today.\n14271,2019/06/09,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n14272,2019/06/09,I ate indian food for lunch.,I ate indian food for lunch.\n14273,2019/06/09,I prepare steak for dinner.,I prepare steak for dinner.\n14274,2019/06/09,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n14275,2019/06/09,I watched news for 40 minutes on TV today.,I watched news for 40 minutes on TV today.\n14276,2019/06/10,\"On 2019/06/10, I took Rylee on a date to a boba shop\",\"On 2019/06/10, I took Rylee on a date to a boba shop\"\n14277,2019/06/10,\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate cereals.\",\"I had breakfast with Kayden, Emily, Carter, Andrew. I ate cereals.\"\n14278,2019/06/10,I prepare a burger for lunch.,I prepare a burger for lunch.\n14279,2019/06/10,\"I had dinner with Hazel, Eva, Piper, Kinsley, Layla, Rylee, Avery, Nevaeh, Lydia. I ate a burger.\",\"I had dinner with Hazel, Eva, Piper, Kinsley, Layla, Rylee, Avery, Nevaeh, Lydia. I ate a burger.\"\n14280,2019/06/10,I spent 35 minutes reading news today.,I spent 35 minutes reading news today.\n14281,2019/06/10,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n14282,2019/06/11,\"I talked to Layla, Lydia for 42 minutes late in the evening.\",\"I talked to Layla, Lydia for 42 minutes late in the evening.\"\n14283,2019/06/11,I spent 36 talking to Hazel on various topics during lunch hours.,I spent 36 talking to Hazel on various topics during lunch hours.\n14284,2019/06/12,\"I bought some blueberries, nectarines, soda, conditioner, mouthwash online.\",\"I bought some blueberries, nectarines, soda, conditioner, mouthwash online.\"\n14285,2019/06/12,I did HIIT on 2019/06/12.,I did HIIT on 2019/06/12.\n14286,2019/06/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n14287,2019/06/12,I ate pasta for lunch.,I ate pasta for lunch.\n14288,2019/06/12,\"I talked to Piper, Lydia for 22 minutes in the late afternoon.\",\"I talked to Piper, Lydia for 22 minutes in the late afternoon.\"\n14289,2019/06/13,\"I had lunch with Olivia, Kinsley, Piper, Claire, Nevaeh, Nora, Lydia. I ate fish and chips.\",\"I had lunch with Olivia, Kinsley, Piper, Claire, Nevaeh, Nora, Lydia. I ate fish and chips.\"\n14290,2019/06/13,\"I talked to Piper, Avery, Kinsley for 26 minutes during lunch hours.\",\"I talked to Piper, Avery, Kinsley for 26 minutes during lunch hours.\"\n14291,2019/06/13,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n14292,2019/06/14,\"On 2019/06/14, I took Jace on a date to a boba shop\",\"On 2019/06/14, I took Jace on a date to a boba shop\"\n14293,2019/06/14,I did weight lifting on 2019/06/14.,I did weight lifting on 2019/06/14.\n14294,2019/06/14,\"I had indian food for lunch with Nora, Eva, Lydia, Rylee, Hazel, Piper, Kinsley, Layla, Piper\",\"I had indian food for lunch with Nora, Eva, Lydia, Rylee, Hazel, Piper, Kinsley, Layla, Piper\"\n14295,2019/06/14,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n14296,2019/06/15,\"I went grocery shopping with Andrew. I bought some cherres, watermelons, nectarines, guava, tea, orange juice, mango juice, and facial wash, body lotion, shaving cream, toothpaste\",\"I went grocery shopping with Andrew. I bought some cherres, watermelons, nectarines, guava, tea, orange juice, mango juice, and facial wash, body lotion, shaving cream, toothpaste\"\n14297,2019/06/15,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n14298,2019/06/15,\"I had steak for dinner with Carter, Kayden\",\"I had steak for dinner with Carter, Kayden\"\n14299,2019/06/15,I talked to Hazel for 54 minutes during lunch hours.,I talked to Hazel for 54 minutes during lunch hours.\n14300,2019/06/15,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n14301,2019/06/15,I watched a documentary for 29 minutes on TV today.,I watched a documentary for 29 minutes on TV today.\n14302,2019/06/16,I did swimming on 2019/06/16.,I did swimming on 2019/06/16.\n14303,2019/06/16,I ate pasta for lunch.,I ate pasta for lunch.\n14304,2019/06/16,I spent 18 minutes on social media today.,I spent 18 minutes on social media today.\n14305,2019/06/16,I watched news for 54 minutes on TV today.,I watched news for 54 minutes on TV today.\n14306,2019/06/17,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n14307,2019/06/17,\"I talked to Lydia, Piper, Piper for 30 minutes in the late afternoon.\",\"I talked to Lydia, Piper, Piper for 30 minutes in the late afternoon.\"\n14308,2019/06/17,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n14309,2019/06/17,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n14310,2019/06/18,\"On 2019/06/18, I took Kinsley on a date to a park\",\"On 2019/06/18, I took Kinsley on a date to a park\"\n14311,2019/06/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n14312,2019/06/18,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n14313,2019/06/18,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n14314,2019/06/19,I talked to Piper for 12 minutes in the early afternoon.,I talked to Piper for 12 minutes in the early afternoon.\n14315,2019/06/20,I did biking on 2019/06/20.,I did biking on 2019/06/20.\n14316,2019/06/20,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n14317,2019/06/20,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n14318,2019/06/20,\"I spent 34 talking to Nevaeh, Claire, Nora on various topics in the early evening.\",\"I spent 34 talking to Nevaeh, Claire, Nora on various topics in the early evening.\"\n14319,2019/06/20,\"I spent 13 talking to Rylee, Kinsley on various topics in the early afternoon.\",\"I spent 13 talking to Rylee, Kinsley on various topics in the early afternoon.\"\n14320,2019/06/20,I spent 9 minutes reading social media today.,I spent 9 minutes reading social media today.\n14321,2019/06/21,I did hiking on 2019/06/21.,I did hiking on 2019/06/21.\n14322,2019/06/21,\"I had breakfast with Benjamin, Avery, Jackson, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Benjamin, Avery, Jackson, Willow. I ate eggs, sausages, and bread.\"\n14323,2019/06/21,I ate pasta for lunch.,I ate pasta for lunch.\n14324,2019/06/21,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n14325,2019/06/21,\"I talked to Nevaeh, Piper, Eva for 40 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Eva for 40 minutes in the late afternoon.\"\n14326,2019/06/21,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n14327,2019/06/22,\"I bought some watermelons, mineral water, guava juice, mouth wash, conditioner, shampoo, paper towel from the grocery store. I saw Nevaeh, Olivia, Kinsley, Avery, Lydia at the grocery store.\",\"I bought some watermelons, mineral water, guava juice, mouth wash, conditioner, shampoo, paper towel from the grocery store. I saw Nevaeh, Olivia, Kinsley, Avery, Lydia at the grocery store.\"\n14328,2019/06/22,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n14329,2019/06/22,I ate pasta for dinner.,I ate pasta for dinner.\n14330,2019/06/22,I spent 34 talking to Olivia on various topics in the early afternoon.,I spent 34 talking to Olivia on various topics in the early afternoon.\n14331,2019/06/22,I spent 40 minutes reading news today.,I spent 40 minutes reading news today.\n14332,2019/06/22,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n14333,2019/06/23,I did biking on 2019/06/23.,I did biking on 2019/06/23.\n14334,2019/06/23,I ate pasta for lunch.,I ate pasta for lunch.\n14335,2019/06/23,\"I had a burger for dinner with Kayden, Andrew\",\"I had a burger for dinner with Kayden, Andrew\"\n14336,2019/06/23,\"I talked to Claire, Kinsley, Piper for 38 minutes in the early afternoon.\",\"I talked to Claire, Kinsley, Piper for 38 minutes in the early afternoon.\"\n14337,2019/06/23,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n14338,2019/06/24,I went on a date with Charlotte on 2019/06/24 at a boba shop,I went on a date with Charlotte on 2019/06/24 at a boba shop\n14339,2019/06/24,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n14340,2019/06/24,\"I talked to Kinsley, Nevaeh for 54 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh for 54 minutes late in the evening.\"\n14341,2019/06/24,\"I talked to Eva, Olivia, Kinsley, Hazel for 33 minutes late in the evening.\",\"I talked to Eva, Olivia, Kinsley, Hazel for 33 minutes late in the evening.\"\n14342,2019/06/24,I spent 48 minutes watching a documentary on TV today.,I spent 48 minutes watching a documentary on TV today.\n14343,2019/06/25,\"I bought some apples, nectarines, tea, mineral water, chocolate milk, mango juice, toothbrush, shampoo online.\",\"I bought some apples, nectarines, tea, mineral water, chocolate milk, mango juice, toothbrush, shampoo online.\"\n14344,2019/06/25,I did biking on 2019/06/25.,I did biking on 2019/06/25.\n14345,2019/06/25,I prepare a burger for lunch.,I prepare a burger for lunch.\n14346,2019/06/25,I spent 25 talking to Layla on various topics in the late afternoon.,I spent 25 talking to Layla on various topics in the late afternoon.\n14347,2019/06/25,\"I talked to Avery, Eva, Nevaeh, Nora for 46 minutes in the morning.\",\"I talked to Avery, Eva, Nevaeh, Nora for 46 minutes in the morning.\"\n14348,2019/06/25,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n14349,2019/06/26,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14350,2019/06/26,\"I spent 38 talking to Eva, Olivia, Layla on various topics late in the evening.\",\"I spent 38 talking to Eva, Olivia, Layla on various topics late in the evening.\"\n14351,2019/06/26,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n14352,2019/06/27,I went on a date with Jackson on 2019/06/27 at a coffee Shop,I went on a date with Jackson on 2019/06/27 at a coffee Shop\n14353,2019/06/27,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n14354,2019/06/27,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n14355,2019/06/28,\"I went grocery shopping. I bought some pineapples, blueberries, coffee, sports drinks, tea, milk, and shampoo, toothbrush, mouthwash, toilet paper\",\"I went grocery shopping. I bought some pineapples, blueberries, coffee, sports drinks, tea, milk, and shampoo, toothbrush, mouthwash, toilet paper\"\n14356,2019/06/28,\"I had breakfast with Benjamin, Avery, Willow, Jackson. I ate cereals.\",\"I had breakfast with Benjamin, Avery, Willow, Jackson. I ate cereals.\"\n14357,2019/06/28,\"I had lunch with Carter, Emily. I ate tacos.\",\"I had lunch with Carter, Emily. I ate tacos.\"\n14358,2019/06/28,\"I talked to Claire, Piper for 7 minutes in the early evening.\",\"I talked to Claire, Piper for 7 minutes in the early evening.\"\n14359,2019/06/28,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n14360,2019/06/29,I did biking on 2019/06/29.,I did biking on 2019/06/29.\n14361,2019/06/29,\"I had steak for lunch with Andrew, Kayden, Carter, Emily\",\"I had steak for lunch with Andrew, Kayden, Carter, Emily\"\n14362,2019/06/29,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n14363,2019/06/29,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n14364,2019/06/30,I did biking on 2019/06/30.,I did biking on 2019/06/30.\n14365,2019/06/30,I prepare sushi for lunch.,I prepare sushi for lunch.\n14366,2019/06/30,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n14367,2019/07/01,\"I had lunch with Andrew, Carter, Emily, Kayden. I ate fish and chips.\",\"I had lunch with Andrew, Carter, Emily, Kayden. I ate fish and chips.\"\n14368,2019/07/01,\"I spent 35 talking to Claire, Hazel, Piper on various topics in the early afternoon.\",\"I spent 35 talking to Claire, Hazel, Piper on various topics in the early afternoon.\"\n14369,2019/07/01,\"I talked to Hazel, Piper for 24 minutes during lunch hours.\",\"I talked to Hazel, Piper for 24 minutes during lunch hours.\"\n14370,2019/07/01,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n14371,2019/07/02,I did running on 2019/07/02.,I did running on 2019/07/02.\n14372,2019/07/02,\"I had peanut-butter-jam for breakfast with Willow, Jackson, Benjamin\",\"I had peanut-butter-jam for breakfast with Willow, Jackson, Benjamin\"\n14373,2019/07/02,I prepare steak for lunch.,I prepare steak for lunch.\n14374,2019/07/02,\"I talked to Avery, Olivia, Hazel, Eva for 41 minutes in the late afternoon.\",\"I talked to Avery, Olivia, Hazel, Eva for 41 minutes in the late afternoon.\"\n14375,2019/07/03,I did swimming on 2019/07/03.,I did swimming on 2019/07/03.\n14376,2019/07/03,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n14377,2019/07/03,\"I had lunch with Andrew, Emily. I ate fish and chips.\",\"I had lunch with Andrew, Emily. I ate fish and chips.\"\n14378,2019/07/03,\"I talked to Nora, Kinsley, Avery, Piper for 35 minutes in the morning.\",\"I talked to Nora, Kinsley, Avery, Piper for 35 minutes in the morning.\"\n14379,2019/07/03,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n14380,2019/07/03,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n14381,2019/07/04,\"I had oatmeal for breakfast with Eva, Avery, Piper, Hazel\",\"I had oatmeal for breakfast with Eva, Avery, Piper, Hazel\"\n14382,2019/07/04,I prepare indian food for dinner.,I prepare indian food for dinner.\n14383,2019/07/04,\"I talked to Hazel, Piper, Layla for 12 minutes late in the evening.\",\"I talked to Hazel, Piper, Layla for 12 minutes late in the evening.\"\n14384,2019/07/04,I spent 52 minutes reading social media today.,I spent 52 minutes reading social media today.\n14385,2019/07/05,I did biking on 2019/07/05.,I did biking on 2019/07/05.\n14386,2019/07/05,I prepare sushi for dinner.,I prepare sushi for dinner.\n14387,2019/07/06,\"I had breakfast with Rylee, Kinsley, Avery, Hazel, Claire. I ate toast and cheese.\",\"I had breakfast with Rylee, Kinsley, Avery, Hazel, Claire. I ate toast and cheese.\"\n14388,2019/07/06,\"I had chinese food for lunch with Carter, Emily, Kayden\",\"I had chinese food for lunch with Carter, Emily, Kayden\"\n14389,2019/07/06,I had dinner with Andrew. I ate sandwich.,I had dinner with Andrew. I ate sandwich.\n14390,2019/07/06,\"I spent 23 talking to Kinsley, Avery on various topics in the late afternoon.\",\"I spent 23 talking to Kinsley, Avery on various topics in the late afternoon.\"\n14391,2019/07/06,I talked to Kinsley for 31 minutes late in the evening.,I talked to Kinsley for 31 minutes late in the evening.\n14392,2019/07/06,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n14393,2019/07/07,\"I had breakfast with Emily, Andrew, Carter, Kayden. I ate pancakes.\",\"I had breakfast with Emily, Andrew, Carter, Kayden. I ate pancakes.\"\n14394,2019/07/07,I had chinese food for dinner with Emily,I had chinese food for dinner with Emily\n14395,2019/07/07,I spent 16 talking to Layla on various topics in the early evening.,I spent 16 talking to Layla on various topics in the early evening.\n14396,2019/07/08,I did swimming on 2019/07/08.,I did swimming on 2019/07/08.\n14397,2019/07/08,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n14398,2019/07/09,\"I was cooking cashew chicken , rigatoni with sausage & peas on 2019/07/09 with Andrew, Kayden, Carter, Emily at my place\",\"I was cooking cashew chicken , rigatoni with sausage & peas on 2019/07/09 with Andrew, Kayden, Carter, Emily at my place\"\n14399,2019/07/09,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n14400,2019/07/09,\"I had tacos for lunch with Carter, Emily\",\"I had tacos for lunch with Carter, Emily\"\n14401,2019/07/09,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n14402,2019/07/09,I talked to Avery for 45 minutes in the early afternoon.,I talked to Avery for 45 minutes in the early afternoon.\n14403,2019/07/10,I went on a date with Isaac on 2019/07/10 at a restaurant,I went on a date with Isaac on 2019/07/10 at a restaurant\n14404,2019/07/10,I did HIIT on 2019/07/10.,I did HIIT on 2019/07/10.\n14405,2019/07/10,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n14406,2019/07/10,I talked to Avery for 8 minutes in the early evening.,I talked to Avery for 8 minutes in the early evening.\n14407,2019/07/10,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n14408,2019/07/11,I did running on 2019/07/11.,I did running on 2019/07/11.\n14409,2019/07/11,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n14410,2019/07/11,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n14411,2019/07/11,I talked to Kinsley for 5 minutes late in the evening.,I talked to Kinsley for 5 minutes late in the evening.\n14412,2019/07/11,I spent 23 talking to Nevaeh on various topics in the morning.,I spent 23 talking to Nevaeh on various topics in the morning.\n14413,2019/07/12,\"I entertained Emily at my place on 2019/07/12 and cook naan bread, thai green curry paste, asian slaw\",\"I entertained Emily at my place on 2019/07/12 and cook naan bread, thai green curry paste, asian slaw\"\n14414,2019/07/12,\"I spent 25 talking to Avery, Hazel on various topics late in the evening.\",\"I spent 25 talking to Avery, Hazel on various topics late in the evening.\"\n14415,2019/07/12,\"I talked to Avery, Olivia for 54 minutes late in the evening.\",\"I talked to Avery, Olivia for 54 minutes late in the evening.\"\n14416,2019/07/12,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n14417,2019/07/13,I took my parents for their for an annual physical checkup on 2019/07/13 at the private clinic.,I took my parents for their for an annual physical checkup on 2019/07/13 at the private clinic.\n14418,2019/07/13,I did weight lifting on 2019/07/13.,I did weight lifting on 2019/07/13.\n14419,2019/07/13,\"I talked to Piper, Eva for 37 minutes late in the evening.\",\"I talked to Piper, Eva for 37 minutes late in the evening.\"\n14420,2019/07/13,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n14421,2019/07/13,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n14422,2019/07/14,I did hiking on 2019/07/14.,I did hiking on 2019/07/14.\n14423,2019/07/14,\"I spent 5 talking to Piper, Lydia on various topics in the early evening.\",\"I spent 5 talking to Piper, Lydia on various topics in the early evening.\"\n14424,2019/07/14,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n14425,2019/07/14,I watched a documentary for 36 minutes on TV today.,I watched a documentary for 36 minutes on TV today.\n14426,2019/07/15,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n14427,2019/07/15,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n14428,2019/07/15,\"I had dinner with Eva, Layla, Rylee, Piper, Nora. I ate indian food.\",\"I had dinner with Eva, Layla, Rylee, Piper, Nora. I ate indian food.\"\n14429,2019/07/15,I spent 54 talking to Lydia on various topics in the early afternoon.,I spent 54 talking to Lydia on various topics in the early afternoon.\n14430,2019/07/16,\"I had breakfast with Kinsley, Nevaeh, Eva, Layla, Olivia, Piper, Nora. I ate oatmeal.\",\"I had breakfast with Kinsley, Nevaeh, Eva, Layla, Olivia, Piper, Nora. I ate oatmeal.\"\n14431,2019/07/16,\"I spent 50 talking to Eva, Piper on various topics in the early evening.\",\"I spent 50 talking to Eva, Piper on various topics in the early evening.\"\n14432,2019/07/16,\"I spent 23 talking to Piper, Rylee on various topics in the early evening.\",\"I spent 23 talking to Piper, Rylee on various topics in the early evening.\"\n14433,2019/07/16,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n14434,2019/07/17,\"I had breakfast with Jackson, Avery. I ate cereals.\",\"I had breakfast with Jackson, Avery. I ate cereals.\"\n14435,2019/07/17,\"I had dinner with Emily, Kayden. I ate indian food.\",\"I had dinner with Emily, Kayden. I ate indian food.\"\n14436,2019/07/17,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n14437,2019/07/18,I did hiking on 2019/07/18.,I did hiking on 2019/07/18.\n14438,2019/07/18,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n14439,2019/07/18,I prepare a burger for dinner.,I prepare a burger for dinner.\n14440,2019/07/18,\"I spent 39 talking to Nora, Rylee, Lydia on various topics in the morning.\",\"I spent 39 talking to Nora, Rylee, Lydia on various topics in the morning.\"\n14441,2019/07/19,I did hiking on 2019/07/19.,I did hiking on 2019/07/19.\n14442,2019/07/19,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n14443,2019/07/19,I ate steak for dinner.,I ate steak for dinner.\n14444,2019/07/20,I did running on 2019/07/20.,I did running on 2019/07/20.\n14445,2019/07/20,I ate steak for lunch.,I ate steak for lunch.\n14446,2019/07/20,\"I talked to Claire, Layla, Lydia, Olivia for 22 minutes in the early evening.\",\"I talked to Claire, Layla, Lydia, Olivia for 22 minutes in the early evening.\"\n14447,2019/07/20,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n14448,2019/07/21,I did running on 2019/07/21.,I did running on 2019/07/21.\n14449,2019/07/21,I had dinner with Carter. I ate indian food.,I had dinner with Carter. I ate indian food.\n14450,2019/07/22,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n14451,2019/07/22,\"I talked to Layla, Nevaeh, Hazel, Olivia for 36 minutes in the early evening.\",\"I talked to Layla, Nevaeh, Hazel, Olivia for 36 minutes in the early evening.\"\n14452,2019/07/22,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n14453,2019/07/23,\"On 2019/07/23, I took Greyson on a date to a park\",\"On 2019/07/23, I took Greyson on a date to a park\"\n14454,2019/07/23,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n14455,2019/07/23,I ate chinese food for dinner.,I ate chinese food for dinner.\n14456,2019/07/23,\"I spent 9 talking to Avery, Rylee, Lydia on various topics in the late afternoon.\",\"I spent 9 talking to Avery, Rylee, Lydia on various topics in the late afternoon.\"\n14457,2019/07/24,\"I went grocery shopping. I bought some bananas, blackberries, guava juice, tea, soda, and mouthwash, toilet paper\",\"I went grocery shopping. I bought some bananas, blackberries, guava juice, tea, soda, and mouthwash, toilet paper\"\n14458,2019/07/24,I prepare pasta for dinner.,I prepare pasta for dinner.\n14459,2019/07/24,\"I spent 13 talking to Piper, Claire, Eva, Rylee on various topics late in the evening.\",\"I spent 13 talking to Piper, Claire, Eva, Rylee on various topics late in the evening.\"\n14460,2019/07/24,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n14461,2019/07/25,I ate sushi for dinner.,I ate sushi for dinner.\n14462,2019/07/25,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n14463,2019/07/25,I spent 53 minutes watching news on TV today.,I spent 53 minutes watching news on TV today.\n14464,2019/07/26,\"I bought some guava, cherres, mangos, nectarines, coffee, shaving cream, mouth wash, toothpaste from the grocery store. I saw Lydia, Eva, Nevaeh, Olivia, Claire, Piper at the grocery store.\",\"I bought some guava, cherres, mangos, nectarines, coffee, shaving cream, mouth wash, toothpaste from the grocery store. I saw Lydia, Eva, Nevaeh, Olivia, Claire, Piper at the grocery store.\"\n14465,2019/07/26,I did running on 2019/07/26.,I did running on 2019/07/26.\n14466,2019/07/26,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n14467,2019/07/26,I prepare steak for lunch.,I prepare steak for lunch.\n14468,2019/07/26,\"I had dinner with Andrew, Carter. I ate indian food.\",\"I had dinner with Andrew, Carter. I ate indian food.\"\n14469,2019/07/26,I spent 22 talking to Kinsley on various topics late in the evening.,I spent 22 talking to Kinsley on various topics late in the evening.\n14470,2019/07/26,I watched news for 23 minutes on TV today.,I watched news for 23 minutes on TV today.\n14471,2019/07/27,I spent time gardening on 2019/07/27 with Eva.,I spent time gardening on 2019/07/27 with Eva.\n14472,2019/07/27,I did hiking on 2019/07/27.,I did hiking on 2019/07/27.\n14473,2019/07/27,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n14474,2019/07/27,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n14475,2019/07/27,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n14476,2019/07/28,I did weight lifting on 2019/07/28.,I did weight lifting on 2019/07/28.\n14477,2019/07/28,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n14478,2019/07/28,I ate pasta for dinner.,I ate pasta for dinner.\n14479,2019/07/28,\"I talked to Nevaeh, Rylee for 23 minutes in the early evening.\",\"I talked to Nevaeh, Rylee for 23 minutes in the early evening.\"\n14480,2019/07/28,I spent 30 minutes reading news today.,I spent 30 minutes reading news today.\n14481,2019/07/28,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n14482,2019/07/29,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n14483,2019/07/29,I prepare tacos for dinner.,I prepare tacos for dinner.\n14484,2019/07/29,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n14485,2019/07/30,I did weight lifting on 2019/07/30.,I did weight lifting on 2019/07/30.\n14486,2019/07/30,\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate pancakes.\",\"I had breakfast with Carter, Andrew, Emily, Kayden. I ate pancakes.\"\n14487,2019/07/30,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n14488,2019/07/30,I had chinese food for dinner with Emily,I had chinese food for dinner with Emily\n14489,2019/07/30,I spent 13 minutes watching a tv series on TV today.,I spent 13 minutes watching a tv series on TV today.\n14490,2019/07/31,I did HIIT on 2019/07/31.,I did HIIT on 2019/07/31.\n14491,2019/07/31,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14492,2019/07/31,I prepare a burger for lunch.,I prepare a burger for lunch.\n14493,2019/07/31,I ate tacos for dinner.,I ate tacos for dinner.\n14494,2019/07/31,\"I spent 45 talking to Piper, Eva, Layla, Lydia on various topics during lunch hours.\",\"I spent 45 talking to Piper, Eva, Layla, Lydia on various topics during lunch hours.\"\n14495,2019/07/31,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n14496,2019/08/01,I did weight lifting on 2019/08/01.,I did weight lifting on 2019/08/01.\n14497,2019/08/01,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n14498,2019/08/01,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n14499,2019/08/02,\"I was cooking ground turkey vegetable soup, general tso’s chicken, contest-winning broccoli chicken casserole on 2019/08/02 with Layla, Nevaeh, Kinsley at my place\",\"I was cooking ground turkey vegetable soup, general tso’s chicken, contest-winning broccoli chicken casserole on 2019/08/02 with Layla, Nevaeh, Kinsley at my place\"\n14500,2019/08/02,\"I bought some oranges, guava juice, toothpaste, mouthwash, toilet paper from the grocery store. I saw Rylee, Nora, Olivia, Piper, Claire, Layla, Kinsley, Eva, Nevaeh, Lydia, Avery, Hazel, Piper at the grocery store.\",\"I bought some oranges, guava juice, toothpaste, mouthwash, toilet paper from the grocery store. I saw Rylee, Nora, Olivia, Piper, Claire, Layla, Kinsley, Eva, Nevaeh, Lydia, Avery, Hazel, Piper at the grocery store.\"\n14501,2019/08/02,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n14502,2019/08/02,I prepare pasta for lunch.,I prepare pasta for lunch.\n14503,2019/08/02,\"I spent 42 talking to Piper, Layla on various topics in the early evening.\",\"I spent 42 talking to Piper, Layla on various topics in the early evening.\"\n14504,2019/08/02,I watched a movie for 54 minutes on TV today.,I watched a movie for 54 minutes on TV today.\n14505,2019/08/04,I had peanut-butter-jam for breakfast with Carter,I had peanut-butter-jam for breakfast with Carter\n14506,2019/08/04,\"I spent 41 talking to Kinsley, Nora, Avery on various topics in the late afternoon.\",\"I spent 41 talking to Kinsley, Nora, Avery on various topics in the late afternoon.\"\n14507,2019/08/05,I went on a date with Nathan on 2019/08/05 at a boba shop,I went on a date with Nathan on 2019/08/05 at a boba shop\n14508,2019/08/05,I did running on 2019/08/05.,I did running on 2019/08/05.\n14509,2019/08/05,\"I had lunch with Emily, Carter, Kayden. I ate pasta.\",\"I had lunch with Emily, Carter, Kayden. I ate pasta.\"\n14510,2019/08/05,\"I had tacos for dinner with Hazel, Nevaeh, Piper, Piper\",\"I had tacos for dinner with Hazel, Nevaeh, Piper, Piper\"\n14511,2019/08/05,\"I talked to Olivia, Lydia, Rylee, Avery for 23 minutes in the late afternoon.\",\"I talked to Olivia, Lydia, Rylee, Avery for 23 minutes in the late afternoon.\"\n14512,2019/08/05,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n14513,2019/08/06,\"I went grocery shopping with Andrew, Kayden, Carter. I bought some blueberries, apricots, raspberries, guava juice, tea, orange juice, and paper towel, mouth wash, mouthwash, shaving cream\",\"I went grocery shopping with Andrew, Kayden, Carter. I bought some blueberries, apricots, raspberries, guava juice, tea, orange juice, and paper towel, mouth wash, mouthwash, shaving cream\"\n14514,2019/08/06,I did weight lifting on 2019/08/06.,I did weight lifting on 2019/08/06.\n14515,2019/08/06,\"I spent 44 talking to Kinsley, Lydia on various topics late in the evening.\",\"I spent 44 talking to Kinsley, Lydia on various topics late in the evening.\"\n14516,2019/08/07,I did hiking on 2019/08/07.,I did hiking on 2019/08/07.\n14517,2019/08/07,I had lunch with Nora. I ate pasta.,I had lunch with Nora. I ate pasta.\n14518,2019/08/07,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n14519,2019/08/08,\"On 2019/08/08, I took Riley on a date to a park\",\"On 2019/08/08, I took Riley on a date to a park\"\n14520,2019/08/08,I spent 48 talking to Piper on various topics in the early evening.,I spent 48 talking to Piper on various topics in the early evening.\n14521,2019/08/08,I spent 13 minutes watching news on TV today.,I spent 13 minutes watching news on TV today.\n14522,2019/08/09,\"I went grocery shopping. I bought some cherres, pears, clementines, oranges, mango juice, mineral water, milk, chocolate milk, and toilet paper, toothpaste, body lotion\",\"I went grocery shopping. I bought some cherres, pears, clementines, oranges, mango juice, mineral water, milk, chocolate milk, and toilet paper, toothpaste, body lotion\"\n14523,2019/08/09,I did hiking on 2019/08/09.,I did hiking on 2019/08/09.\n14524,2019/08/09,I had lunch. I ate steak.,I had lunch. I ate steak.\n14525,2019/08/09,I prepare pasta for dinner.,I prepare pasta for dinner.\n14526,2019/08/09,\"I spent 44 talking to Nevaeh, Layla, Nora, Olivia on various topics in the late afternoon.\",\"I spent 44 talking to Nevaeh, Layla, Nora, Olivia on various topics in the late afternoon.\"\n14527,2019/08/09,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n14528,2019/08/10,\"I was cooking poke, chicken cordon bleu skillet on 2019/08/10 with Olivia, Nevaeh at my place\",\"I was cooking poke, chicken cordon bleu skillet on 2019/08/10 with Olivia, Nevaeh at my place\"\n14529,2019/08/10,I had toast and cheese for breakfast with Benjamin,I had toast and cheese for breakfast with Benjamin\n14530,2019/08/10,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n14531,2019/08/10,\"I talked to Piper, Lydia, Avery for 46 minutes late in the evening.\",\"I talked to Piper, Lydia, Avery for 46 minutes late in the evening.\"\n14532,2019/08/10,I spent 50 minutes on a book today.,I spent 50 minutes on a book today.\n14533,2019/08/11,I did weight lifting on 2019/08/11.,I did weight lifting on 2019/08/11.\n14534,2019/08/11,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n14535,2019/08/11,\"I talked to Nevaeh, Piper for 31 minutes late in the evening.\",\"I talked to Nevaeh, Piper for 31 minutes late in the evening.\"\n14536,2019/08/11,I spent 12 minutes reading social media today.,I spent 12 minutes reading social media today.\n14537,2019/08/11,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n14538,2019/08/12,I went on a date with Serenity on 2019/08/12 at a restaurant,I went on a date with Serenity on 2019/08/12 at a restaurant\n14539,2019/08/12,I did swimming on 2019/08/12.,I did swimming on 2019/08/12.\n14540,2019/08/12,\"I talked to Avery, Hazel, Kinsley for 30 minutes in the early afternoon.\",\"I talked to Avery, Hazel, Kinsley for 30 minutes in the early afternoon.\"\n14541,2019/08/12,\"I talked to Avery, Eva, Lydia, Kinsley for 6 minutes late in the evening.\",\"I talked to Avery, Eva, Lydia, Kinsley for 6 minutes late in the evening.\"\n14542,2019/08/12,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n14543,2019/08/12,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n14544,2019/08/13,\"I entertained Kayden, Andrew, Emily, Carter at my place on 2019/08/13 and bake easy peanut butter fudge, homemade toaster pastries\",\"I entertained Kayden, Andrew, Emily, Carter at my place on 2019/08/13 and bake easy peanut butter fudge, homemade toaster pastries\"\n14545,2019/08/13,I went on a date with Joseph on 2019/08/13 at a park,I went on a date with Joseph on 2019/08/13 at a park\n14546,2019/08/13,I spent some time gardening on 2019/08/13.,I spent some time gardening on 2019/08/13.\n14547,2019/08/13,I did weight lifting on 2019/08/13.,I did weight lifting on 2019/08/13.\n14548,2019/08/13,I ate sandwich for lunch.,I ate sandwich for lunch.\n14549,2019/08/13,I spent 53 talking to Rylee on various topics during lunch hours.,I spent 53 talking to Rylee on various topics during lunch hours.\n14550,2019/08/13,\"I spent 19 talking to Kinsley, Layla, Piper on various topics in the early afternoon.\",\"I spent 19 talking to Kinsley, Layla, Piper on various topics in the early afternoon.\"\n14551,2019/08/13,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n14552,2019/08/14,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n14553,2019/08/15,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n14554,2019/08/15,\"I had indian food for lunch with Piper, Eva, Nora\",\"I had indian food for lunch with Piper, Eva, Nora\"\n14555,2019/08/15,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n14556,2019/08/15,\"I spent 32 talking to Nora, Layla, Claire on various topics in the late afternoon.\",\"I spent 32 talking to Nora, Layla, Claire on various topics in the late afternoon.\"\n14557,2019/08/16,I did hiking on 2019/08/16.,I did hiking on 2019/08/16.\n14558,2019/08/16,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n14559,2019/08/16,I ate sushi for lunch.,I ate sushi for lunch.\n14560,2019/08/16,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n14561,2019/08/16,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n14562,2019/08/17,I went on a date with Austin on 2019/08/17 at a park,I went on a date with Austin on 2019/08/17 at a park\n14563,2019/08/17,I spent some time learning a language on 2019/08/17.,I spent some time learning a language on 2019/08/17.\n14564,2019/08/17,I did weight lifting on 2019/08/17.,I did weight lifting on 2019/08/17.\n14565,2019/08/17,I prepare tacos for lunch.,I prepare tacos for lunch.\n14566,2019/08/17,I had dinner with Olivia. I ate a burger.,I had dinner with Olivia. I ate a burger.\n14567,2019/08/17,\"I talked to Piper, Kinsley for 45 minutes late in the evening.\",\"I talked to Piper, Kinsley for 45 minutes late in the evening.\"\n14568,2019/08/17,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n14569,2019/08/18,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n14570,2019/08/18,I ate chinese food for lunch.,I ate chinese food for lunch.\n14571,2019/08/18,I spent 45 talking to Piper on various topics in the late afternoon.,I spent 45 talking to Piper on various topics in the late afternoon.\n14572,2019/08/18,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n14573,2019/08/18,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n14574,2019/08/19,\"I bought some pineapples, mangos, peaches, mineral water, coffee, chocolate milk, mouthwash, shampoo, toothpaste from the grocery store. I saw Carter at the grocery store.\",\"I bought some pineapples, mangos, peaches, mineral water, coffee, chocolate milk, mouthwash, shampoo, toothpaste from the grocery store. I saw Carter at the grocery store.\"\n14575,2019/08/19,I did running on 2019/08/19.,I did running on 2019/08/19.\n14576,2019/08/19,\"I had cereals for breakfast with Andrew, Emily, Carter\",\"I had cereals for breakfast with Andrew, Emily, Carter\"\n14577,2019/08/19,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n14578,2019/08/19,I prepare indian food for dinner.,I prepare indian food for dinner.\n14579,2019/08/19,\"I spent 26 talking to Layla, Olivia on various topics late in the evening.\",\"I spent 26 talking to Layla, Olivia on various topics late in the evening.\"\n14580,2019/08/19,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n14581,2019/08/19,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n14582,2019/08/20,\"I bought some clementines, apricots, chocolate milk, shaving cream, mouthwash, toothpaste online.\",\"I bought some clementines, apricots, chocolate milk, shaving cream, mouthwash, toothpaste online.\"\n14583,2019/08/20,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14584,2019/08/20,\"I had steak for dinner with Piper, Nevaeh, Avery, Lydia, Kinsley, Olivia, Hazel, Claire\",\"I had steak for dinner with Piper, Nevaeh, Avery, Lydia, Kinsley, Olivia, Hazel, Claire\"\n14585,2019/08/20,I talked to Kinsley for 22 minutes during lunch hours.,I talked to Kinsley for 22 minutes during lunch hours.\n14586,2019/08/20,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n14587,2019/08/21,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n14588,2019/08/21,I talked to Rylee for 25 minutes in the morning.,I talked to Rylee for 25 minutes in the morning.\n14589,2019/08/21,I spent 34 minutes on a book today.,I spent 34 minutes on a book today.\n14590,2019/08/22,I went on a date with Matthew on 2019/08/22 at a park,I went on a date with Matthew on 2019/08/22 at a park\n14591,2019/08/22,I did HIIT on 2019/08/22.,I did HIIT on 2019/08/22.\n14592,2019/08/22,\"I spent 13 talking to Claire, Piper, Piper on various topics late in the evening.\",\"I spent 13 talking to Claire, Piper, Piper on various topics late in the evening.\"\n14593,2019/08/23,I did weight lifting on 2019/08/23.,I did weight lifting on 2019/08/23.\n14594,2019/08/23,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n14595,2019/08/23,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n14596,2019/08/24,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n14597,2019/08/24,\"I spent 21 talking to Nevaeh, Kinsley, Eva on various topics in the early afternoon.\",\"I spent 21 talking to Nevaeh, Kinsley, Eva on various topics in the early afternoon.\"\n14598,2019/08/24,I talked to Hazel for 38 minutes during lunch hours.,I talked to Hazel for 38 minutes during lunch hours.\n14599,2019/08/24,I spent 32 minutes on news today.,I spent 32 minutes on news today.\n14600,2019/08/25,I did swimming on 2019/08/25.,I did swimming on 2019/08/25.\n14601,2019/08/25,I prepare indian food for lunch.,I prepare indian food for lunch.\n14602,2019/08/25,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n14603,2019/08/26,I went on a date with Lincoln on 2019/08/26 at a coffee Shop,I went on a date with Lincoln on 2019/08/26 at a coffee Shop\n14604,2019/08/26,\"I had steak for lunch with Kayden, Emily\",\"I had steak for lunch with Kayden, Emily\"\n14605,2019/08/26,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n14606,2019/08/27,I did weight lifting on 2019/08/27.,I did weight lifting on 2019/08/27.\n14607,2019/08/27,\"I talked to Eva, Piper for 30 minutes during lunch hours.\",\"I talked to Eva, Piper for 30 minutes during lunch hours.\"\n14608,2019/08/27,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n14609,2019/08/28,I spent some time gardening on 2019/08/28.,I spent some time gardening on 2019/08/28.\n14610,2019/08/28,I had breakfast with Carter. I ate pancakes.,I had breakfast with Carter. I ate pancakes.\n14611,2019/08/28,I had a burger for lunch with Emily,I had a burger for lunch with Emily\n14612,2019/08/28,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n14613,2019/08/28,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n14614,2019/08/29,\"On 2019/08/29, I took Lambert on a date to a restaurant\",\"On 2019/08/29, I took Lambert on a date to a restaurant\"\n14615,2019/08/29,I did hiking on 2019/08/29.,I did hiking on 2019/08/29.\n14616,2019/08/29,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n14617,2019/08/29,I spent 37 minutes reading news today.,I spent 37 minutes reading news today.\n14618,2019/08/30,\"I had dinner with Kayden, Carter, Andrew. I ate fish and chips.\",\"I had dinner with Kayden, Carter, Andrew. I ate fish and chips.\"\n14619,2019/08/30,\"I spent 47 talking to Hazel, Avery on various topics in the early evening.\",\"I spent 47 talking to Hazel, Avery on various topics in the early evening.\"\n14620,2019/08/30,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n14621,2019/08/31,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n14622,2019/08/31,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n14623,2019/08/31,\"I talked to Lydia, Avery for 24 minutes in the late afternoon.\",\"I talked to Lydia, Avery for 24 minutes in the late afternoon.\"\n14624,2019/08/31,\"I talked to Hazel, Kinsley for 49 minutes in the morning.\",\"I talked to Hazel, Kinsley for 49 minutes in the morning.\"\n14625,2019/08/31,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n14626,2019/09/01,\"I went grocery shopping. I bought some raspberries, pineapple juice, milk, mango juice, and mouth wash, body lotion\",\"I went grocery shopping. I bought some raspberries, pineapple juice, milk, mango juice, and mouth wash, body lotion\"\n14627,2019/09/01,I did running on 2019/09/01.,I did running on 2019/09/01.\n14628,2019/09/01,\"I had oatmeal for breakfast with Kayden, Emily, Carter\",\"I had oatmeal for breakfast with Kayden, Emily, Carter\"\n14629,2019/09/01,I ate steak for lunch.,I ate steak for lunch.\n14630,2019/09/01,I had steak for dinner with Benjamin,I had steak for dinner with Benjamin\n14631,2019/09/01,I watched a movie for 32 minutes on TV today.,I watched a movie for 32 minutes on TV today.\n14632,2019/09/02,\"I had breakfast with Andrew, Emily. I ate toast and cheese.\",\"I had breakfast with Andrew, Emily. I ate toast and cheese.\"\n14633,2019/09/02,I ate chinese food for dinner.,I ate chinese food for dinner.\n14634,2019/09/02,\"I talked to Rylee, Hazel for 16 minutes late in the evening.\",\"I talked to Rylee, Hazel for 16 minutes late in the evening.\"\n14635,2019/09/02,\"I spent 14 talking to Eva, Avery on various topics in the morning.\",\"I spent 14 talking to Eva, Avery on various topics in the morning.\"\n14636,2019/09/02,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n14637,2019/09/03,I did running on 2019/09/03.,I did running on 2019/09/03.\n14638,2019/09/03,\"I had chinese food for lunch with Avery, Willow\",\"I had chinese food for lunch with Avery, Willow\"\n14639,2019/09/03,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n14640,2019/09/03,\"I spent 33 talking to Nevaeh, Piper, Kinsley, Claire on various topics in the early afternoon.\",\"I spent 33 talking to Nevaeh, Piper, Kinsley, Claire on various topics in the early afternoon.\"\n14641,2019/09/04,I did biking on 2019/09/04.,I did biking on 2019/09/04.\n14642,2019/09/04,I prepare tacos for dinner.,I prepare tacos for dinner.\n14643,2019/09/04,\"I talked to Nora, Rylee, Eva, Nevaeh for 46 minutes late in the evening.\",\"I talked to Nora, Rylee, Eva, Nevaeh for 46 minutes late in the evening.\"\n14644,2019/09/04,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n14645,2019/09/05,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n14646,2019/09/05,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n14647,2019/09/05,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n14648,2019/09/06,I spent some time learning a language on 2019/09/06.,I spent some time learning a language on 2019/09/06.\n14649,2019/09/06,\"I had cereals for breakfast with Nevaeh, Eva, Piper, Claire, Nora, Kinsley, Hazel, Lydia, Layla, Piper, Rylee\",\"I had cereals for breakfast with Nevaeh, Eva, Piper, Claire, Nora, Kinsley, Hazel, Lydia, Layla, Piper, Rylee\"\n14650,2019/09/06,\"I spent 47 talking to Lydia, Hazel, Piper on various topics in the early evening.\",\"I spent 47 talking to Lydia, Hazel, Piper on various topics in the early evening.\"\n14651,2019/09/06,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n14652,2019/09/06,I watched a movie for 13 minutes on TV today.,I watched a movie for 13 minutes on TV today.\n14653,2019/09/07,Kayden for his/her  and I went for an annual dental cleaning and checkup at the university hospital on 2019/09/07.,Kayden for his/her  and I went for an annual dental cleaning and checkup at the university hospital on 2019/09/07.\n14654,2019/09/07,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n14655,2019/09/07,\"I talked to Piper, Hazel, Claire, Olivia for 24 minutes in the early evening.\",\"I talked to Piper, Hazel, Claire, Olivia for 24 minutes in the early evening.\"\n14656,2019/09/07,\"I spent 24 talking to Eva, Nevaeh, Layla on various topics in the early afternoon.\",\"I spent 24 talking to Eva, Nevaeh, Layla on various topics in the early afternoon.\"\n14657,2019/09/08,\"I bought some guava, milk, sports drinks, chocolate milk, mineral water, mouthwash, mouth wash from the grocery store. I saw Andrew, Emily at the grocery store.\",\"I bought some guava, milk, sports drinks, chocolate milk, mineral water, mouthwash, mouth wash from the grocery store. I saw Andrew, Emily at the grocery store.\"\n14658,2019/09/08,I had breakfast with Jackson. I ate pancakes.,I had breakfast with Jackson. I ate pancakes.\n14659,2019/09/08,\"I had lunch with Avery, Hazel, Eva, Kinsley, Claire, Rylee, Layla, Nora, Piper, Lydia, Nevaeh, Piper, Olivia. I ate sandwich.\",\"I had lunch with Avery, Hazel, Eva, Kinsley, Claire, Rylee, Layla, Nora, Piper, Lydia, Nevaeh, Piper, Olivia. I ate sandwich.\"\n14660,2019/09/08,I ate pasta for dinner.,I ate pasta for dinner.\n14661,2019/09/08,\"I talked to Layla, Eva for 6 minutes in the early evening.\",\"I talked to Layla, Eva for 6 minutes in the early evening.\"\n14662,2019/09/09,\"I talked to Avery, Hazel for 51 minutes in the early evening.\",\"I talked to Avery, Hazel for 51 minutes in the early evening.\"\n14663,2019/09/09,\"I spent 46 talking to Nevaeh, Eva, Piper, Layla on various topics during lunch hours.\",\"I spent 46 talking to Nevaeh, Eva, Piper, Layla on various topics during lunch hours.\"\n14664,2019/09/09,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n14665,2019/09/10,\"I had lunch with Claire, Layla, Lydia, Nevaeh. I ate pasta.\",\"I had lunch with Claire, Layla, Lydia, Nevaeh. I ate pasta.\"\n14666,2019/09/10,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n14667,2019/09/10,\"I talked to Eva, Claire for 38 minutes late in the evening.\",\"I talked to Eva, Claire for 38 minutes late in the evening.\"\n14668,2019/09/10,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n14669,2019/09/11,\"I had breakfast with Emily, Carter, Kayden, Andrew. I ate pancakes.\",\"I had breakfast with Emily, Carter, Kayden, Andrew. I ate pancakes.\"\n14670,2019/09/11,I talked to Avery for 53 minutes in the early evening.,I talked to Avery for 53 minutes in the early evening.\n14671,2019/09/12,I really enjoyed learning a language on 2019/09/12,I really enjoyed learning a language on 2019/09/12\n14672,2019/09/12,I had sushi for dinner with Emily,I had sushi for dinner with Emily\n14673,2019/09/12,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n14674,2019/09/13,I had breakfast with Jackson. I ate pancakes.,I had breakfast with Jackson. I ate pancakes.\n14675,2019/09/13,I ate sandwich for lunch.,I ate sandwich for lunch.\n14676,2019/09/13,I ate tacos for dinner.,I ate tacos for dinner.\n14677,2019/09/13,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n14678,2019/09/13,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n14679,2019/09/14,\"I went grocery shopping with Jackson, Avery. I bought some peaches, cherres, apple juice, soda, and toothpaste\",\"I went grocery shopping with Jackson, Avery. I bought some peaches, cherres, apple juice, soda, and toothpaste\"\n14680,2019/09/14,\"I had pancakes for breakfast with Emily, Carter, Kayden, Andrew\",\"I had pancakes for breakfast with Emily, Carter, Kayden, Andrew\"\n14681,2019/09/14,I spent 32 talking to Nevaeh on various topics in the late afternoon.,I spent 32 talking to Nevaeh on various topics in the late afternoon.\n14682,2019/09/14,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n14683,2019/09/15,I did HIIT on 2019/09/15.,I did HIIT on 2019/09/15.\n14684,2019/09/15,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n14685,2019/09/15,I had a burger for dinner with Hazel,I had a burger for dinner with Hazel\n14686,2019/09/15,\"I spent 16 talking to Layla, Kinsley on various topics in the early afternoon.\",\"I spent 16 talking to Layla, Kinsley on various topics in the early afternoon.\"\n14687,2019/09/15,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n14688,2019/09/16,I ate tacos for dinner.,I ate tacos for dinner.\n14689,2019/09/16,\"I spent 25 talking to Layla, Claire, Eva on various topics in the early evening.\",\"I spent 25 talking to Layla, Claire, Eva on various topics in the early evening.\"\n14690,2019/09/16,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n14691,2019/09/17,I did HIIT on 2019/09/17.,I did HIIT on 2019/09/17.\n14692,2019/09/17,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14693,2019/09/17,I had lunch with Emily. I ate pasta.,I had lunch with Emily. I ate pasta.\n14694,2019/09/17,\"I had dinner with Olivia, Nevaeh, Claire, Hazel, Piper, Rylee, Layla, Avery, Lydia, Eva, Nora. I ate sushi.\",\"I had dinner with Olivia, Nevaeh, Claire, Hazel, Piper, Rylee, Layla, Avery, Lydia, Eva, Nora. I ate sushi.\"\n14695,2019/09/18,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n14696,2019/09/18,I had tacos for lunch with Andrew,I had tacos for lunch with Andrew\n14697,2019/09/18,I ate sandwich for dinner.,I ate sandwich for dinner.\n14698,2019/09/18,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n14699,2019/09/19,I did HIIT on 2019/09/19.,I did HIIT on 2019/09/19.\n14700,2019/09/19,I ate cereals for breakfast.,I ate cereals for breakfast.\n14701,2019/09/19,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n14702,2019/09/20,\"I talked to Piper, Layla, Piper for 38 minutes in the early evening.\",\"I talked to Piper, Layla, Piper for 38 minutes in the early evening.\"\n14703,2019/09/20,I talked to Nora for 24 minutes during lunch hours.,I talked to Nora for 24 minutes during lunch hours.\n14704,2019/09/21,I did HIIT on 2019/09/21.,I did HIIT on 2019/09/21.\n14705,2019/09/21,I ate cereals for breakfast.,I ate cereals for breakfast.\n14706,2019/09/21,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n14707,2019/09/21,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n14708,2019/09/22,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n14709,2019/09/22,\"I talked to Layla, Piper, Piper, Hazel for 33 minutes in the morning.\",\"I talked to Layla, Piper, Piper, Hazel for 33 minutes in the morning.\"\n14710,2019/09/23,\"I had lunch with Nora, Kinsley, Rylee, Layla, Nevaeh, Eva, Lydia, Piper, Hazel, Olivia, Claire, Piper. I ate sushi.\",\"I had lunch with Nora, Kinsley, Rylee, Layla, Nevaeh, Eva, Lydia, Piper, Hazel, Olivia, Claire, Piper. I ate sushi.\"\n14711,2019/09/23,I had indian food for dinner with Emily,I had indian food for dinner with Emily\n14712,2019/09/23,I spent 32 talking to Kinsley on various topics during lunch hours.,I spent 32 talking to Kinsley on various topics during lunch hours.\n14713,2019/09/23,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n14714,2019/09/24,I spent some time yoga on 2019/09/24.,I spent some time yoga on 2019/09/24.\n14715,2019/09/24,\"I bought some strawberries, blueberries, cherres, mineral water, toilet paper, toothbrush, mouthwash from the grocery store. I saw Carter, Emily, Kayden at the grocery store.\",\"I bought some strawberries, blueberries, cherres, mineral water, toilet paper, toothbrush, mouthwash from the grocery store. I saw Carter, Emily, Kayden at the grocery store.\"\n14716,2019/09/24,I had cereals for breakfast with Jackson,I had cereals for breakfast with Jackson\n14717,2019/09/24,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n14718,2019/09/24,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n14719,2019/09/25,I did swimming on 2019/09/25.,I did swimming on 2019/09/25.\n14720,2019/09/25,\"I had oatmeal for breakfast with Kayden, Andrew\",\"I had oatmeal for breakfast with Kayden, Andrew\"\n14721,2019/09/25,\"I had lunch with Carter, Andrew, Emily. I ate sandwich.\",\"I had lunch with Carter, Andrew, Emily. I ate sandwich.\"\n14722,2019/09/25,I spent 33 talking to Hazel on various topics in the early afternoon.,I spent 33 talking to Hazel on various topics in the early afternoon.\n14723,2019/09/25,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n14724,2019/09/26,I did hiking on 2019/09/26.,I did hiking on 2019/09/26.\n14725,2019/09/26,I prepare indian food for dinner.,I prepare indian food for dinner.\n14726,2019/09/26,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n14727,2019/09/26,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n14728,2019/09/27,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n14729,2019/09/27,I spent 36 talking to Kinsley on various topics in the late afternoon.,I spent 36 talking to Kinsley on various topics in the late afternoon.\n14730,2019/09/28,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n14731,2019/09/28,\"I spent 8 talking to Olivia, Lydia, Claire, Nora on various topics late in the evening.\",\"I spent 8 talking to Olivia, Lydia, Claire, Nora on various topics late in the evening.\"\n14732,2019/09/28,I spent 43 talking to Eva on various topics in the late afternoon.,I spent 43 talking to Eva on various topics in the late afternoon.\n14733,2019/09/29,I did HIIT on 2019/09/29.,I did HIIT on 2019/09/29.\n14734,2019/09/29,\"I had breakfast with Olivia, Piper, Lydia, Layla, Avery, Hazel, Claire, Nora, Rylee, Eva, Kinsley. I ate cereals.\",\"I had breakfast with Olivia, Piper, Lydia, Layla, Avery, Hazel, Claire, Nora, Rylee, Eva, Kinsley. I ate cereals.\"\n14735,2019/09/29,\"I had steak for lunch with Nevaeh, Piper, Eva, Claire, Kinsley, Piper, Lydia, Nora, Layla, Avery\",\"I had steak for lunch with Nevaeh, Piper, Eva, Claire, Kinsley, Piper, Lydia, Nora, Layla, Avery\"\n14736,2019/09/29,\"I had indian food for dinner with Avery, Nora, Layla, Piper, Rylee, Olivia, Eva, Nevaeh, Claire, Piper, Lydia, Kinsley, Hazel\",\"I had indian food for dinner with Avery, Nora, Layla, Piper, Rylee, Olivia, Eva, Nevaeh, Claire, Piper, Lydia, Kinsley, Hazel\"\n14737,2019/09/29,\"I spent 29 talking to Nevaeh, Avery, Piper, Layla on various topics in the late afternoon.\",\"I spent 29 talking to Nevaeh, Avery, Piper, Layla on various topics in the late afternoon.\"\n14738,2019/09/30,\"I bought some apples, soda, mango juice, milk, chocolate milk, mouth wash, body lotion online.\",\"I bought some apples, soda, mango juice, milk, chocolate milk, mouth wash, body lotion online.\"\n14739,2019/09/30,\"I spent 48 talking to Avery, Eva, Rylee, Claire on various topics in the morning.\",\"I spent 48 talking to Avery, Eva, Rylee, Claire on various topics in the morning.\"\n14740,2019/09/30,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n14741,2019/09/30,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n14742,2019/10/01,I did HIIT on 2019/10/01.,I did HIIT on 2019/10/01.\n14743,2019/10/01,I spent 27 talking to Claire on various topics during lunch hours.,I spent 27 talking to Claire on various topics during lunch hours.\n14744,2019/10/01,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n14745,2019/10/01,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n14746,2019/10/02,\"I bought some watermelons, sports drinks, orange juice, mineral water, mango juice, shampoo from the grocery store. I saw Andrew at the grocery store.\",\"I bought some watermelons, sports drinks, orange juice, mineral water, mango juice, shampoo from the grocery store. I saw Andrew at the grocery store.\"\n14747,2019/10/02,I prepare a burger for dinner.,I prepare a burger for dinner.\n14748,2019/10/02,\"I talked to Piper, Kinsley for 9 minutes in the morning.\",\"I talked to Piper, Kinsley for 9 minutes in the morning.\"\n14749,2019/10/02,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n14750,2019/10/03,I had lunch with Andrew. I ate fish and chips.,I had lunch with Andrew. I ate fish and chips.\n14751,2019/10/03,\"I spent 13 talking to Olivia, Nevaeh on various topics during lunch hours.\",\"I spent 13 talking to Olivia, Nevaeh on various topics during lunch hours.\"\n14752,2019/10/03,\"I talked to Lydia, Nora for 36 minutes in the early afternoon.\",\"I talked to Lydia, Nora for 36 minutes in the early afternoon.\"\n14753,2019/10/03,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n14754,2019/10/04,\"I had oatmeal for breakfast with Carter, Kayden\",\"I had oatmeal for breakfast with Carter, Kayden\"\n14755,2019/10/04,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n14756,2019/10/04,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n14757,2019/10/05,I spent some time gardening on 2019/10/05.,I spent some time gardening on 2019/10/05.\n14758,2019/10/05,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n14759,2019/10/05,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n14760,2019/10/05,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n14761,2019/10/06,\"I bought some apricots, strawberries, raspberries, chocolate milk, sports drinks, toothpaste, shampoo from the grocery store. I saw Jackson, Avery, Willow at the grocery store.\",\"I bought some apricots, strawberries, raspberries, chocolate milk, sports drinks, toothpaste, shampoo from the grocery store. I saw Jackson, Avery, Willow at the grocery store.\"\n14762,2019/10/06,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n14763,2019/10/06,\"I had dinner with Kinsley, Nora, Lydia. I ate a burger.\",\"I had dinner with Kinsley, Nora, Lydia. I ate a burger.\"\n14764,2019/10/06,I spent 37 talking to Olivia on various topics in the morning.,I spent 37 talking to Olivia on various topics in the morning.\n14765,2019/10/07,\"I had cereals for breakfast with Benjamin, Avery, Willow, Jackson\",\"I had cereals for breakfast with Benjamin, Avery, Willow, Jackson\"\n14766,2019/10/07,I prepare indian food for lunch.,I prepare indian food for lunch.\n14767,2019/10/07,\"I spent 52 talking to Rylee, Olivia on various topics late in the evening.\",\"I spent 52 talking to Rylee, Olivia on various topics late in the evening.\"\n14768,2019/10/07,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n14769,2019/10/07,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n14770,2019/10/08,\"I bought some peaches, bananas, oranges, apples, tea, mouthwash, mouth wash, toothbrush, toothpaste from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\",\"I bought some peaches, bananas, oranges, apples, tea, mouthwash, mouth wash, toothbrush, toothpaste from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\"\n14771,2019/10/08,I did swimming on 2019/10/08.,I did swimming on 2019/10/08.\n14772,2019/10/08,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n14773,2019/10/08,I had pasta for lunch with Jackson,I had pasta for lunch with Jackson\n14774,2019/10/08,\"I had tacos for dinner with Layla, Rylee, Hazel, Kinsley, Olivia, Nevaeh, Claire, Piper\",\"I had tacos for dinner with Layla, Rylee, Hazel, Kinsley, Olivia, Nevaeh, Claire, Piper\"\n14775,2019/10/08,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n14776,2019/10/08,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n14777,2019/10/09,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n14778,2019/10/09,I spent 21 talking to Piper on various topics in the early afternoon.,I spent 21 talking to Piper on various topics in the early afternoon.\n14779,2019/10/10,I did weight lifting on 2019/10/10.,I did weight lifting on 2019/10/10.\n14780,2019/10/10,I prepare indian food for lunch.,I prepare indian food for lunch.\n14781,2019/10/10,\"I had pasta for dinner with Andrew, Kayden, Emily\",\"I had pasta for dinner with Andrew, Kayden, Emily\"\n14782,2019/10/10,I talked to Lydia for 25 minutes during lunch hours.,I talked to Lydia for 25 minutes during lunch hours.\n14783,2019/10/10,\"I spent 37 talking to Lydia, Nevaeh, Piper, Nora on various topics in the late afternoon.\",\"I spent 37 talking to Lydia, Nevaeh, Piper, Nora on various topics in the late afternoon.\"\n14784,2019/10/10,I spent 40 minutes watching news on TV today.,I spent 40 minutes watching news on TV today.\n14785,2019/10/11,I did hiking on 2019/10/11.,I did hiking on 2019/10/11.\n14786,2019/10/11,\"I had breakfast with Benjamin, Avery, Willow. I ate oatmeal.\",\"I had breakfast with Benjamin, Avery, Willow. I ate oatmeal.\"\n14787,2019/10/11,\"I spent 5 talking to Avery, Rylee, Olivia on various topics in the late afternoon.\",\"I spent 5 talking to Avery, Rylee, Olivia on various topics in the late afternoon.\"\n14788,2019/10/11,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n14789,2019/10/12,I did weight lifting on 2019/10/12.,I did weight lifting on 2019/10/12.\n14790,2019/10/12,\"I talked to Piper, Piper, Kinsley, Hazel for 50 minutes in the early afternoon.\",\"I talked to Piper, Piper, Kinsley, Hazel for 50 minutes in the early afternoon.\"\n14791,2019/10/12,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n14792,2019/10/12,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n14793,2019/10/13,\"I went grocery shopping with Layla, Nevaeh, Olivia, Kinsley, Rylee, Claire, Piper, Avery, Piper, Eva. I bought some bananas, mango juice, pineapple juice, and conditioner, toothbrush, toilet paper, paper towel\",\"I went grocery shopping with Layla, Nevaeh, Olivia, Kinsley, Rylee, Claire, Piper, Avery, Piper, Eva. I bought some bananas, mango juice, pineapple juice, and conditioner, toothbrush, toilet paper, paper towel\"\n14794,2019/10/13,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n14795,2019/10/13,I ate indian food for lunch.,I ate indian food for lunch.\n14796,2019/10/13,I had chinese food for dinner with Avery,I had chinese food for dinner with Avery\n14797,2019/10/13,\"I spent 21 talking to Piper, Rylee, Lydia, Eva on various topics in the early evening.\",\"I spent 21 talking to Piper, Rylee, Lydia, Eva on various topics in the early evening.\"\n14798,2019/10/13,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n14799,2019/10/13,I spent 13 minutes watching a documentary on TV today.,I spent 13 minutes watching a documentary on TV today.\n14800,2019/10/14,\"I spent time gardening on 2019/10/14 with Jackson, Willow.\",\"I spent time gardening on 2019/10/14 with Jackson, Willow.\"\n14801,2019/10/14,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n14802,2019/10/14,\"I had lunch with Piper, Piper, Layla, Eva, Nora. I ate tacos.\",\"I had lunch with Piper, Piper, Layla, Eva, Nora. I ate tacos.\"\n14803,2019/10/14,\"I talked to Piper, Olivia, Eva, Lydia for 6 minutes late in the evening.\",\"I talked to Piper, Olivia, Eva, Lydia for 6 minutes late in the evening.\"\n14804,2019/10/15,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n14805,2019/10/15,\"I had dinner with Jackson, Avery, Benjamin, Willow. I ate steak.\",\"I had dinner with Jackson, Avery, Benjamin, Willow. I ate steak.\"\n14806,2019/10/15,\"I spent 45 talking to Eva, Rylee, Piper on various topics in the early evening.\",\"I spent 45 talking to Eva, Rylee, Piper on various topics in the early evening.\"\n14807,2019/10/15,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n14808,2019/10/16,I did weight lifting on 2019/10/16.,I did weight lifting on 2019/10/16.\n14809,2019/10/16,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n14810,2019/10/16,\"I talked to Hazel, Claire, Avery, Piper for 40 minutes in the morning.\",\"I talked to Hazel, Claire, Avery, Piper for 40 minutes in the morning.\"\n14811,2019/10/16,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n14812,2019/10/17,I did swimming on 2019/10/17.,I did swimming on 2019/10/17.\n14813,2019/10/17,\"I had lunch with Willow, Benjamin, Avery, Jackson. I ate pasta.\",\"I had lunch with Willow, Benjamin, Avery, Jackson. I ate pasta.\"\n14814,2019/10/18,\"I spent time gardening on 2019/10/18 with Emily, Andrew, Kayden.\",\"I spent time gardening on 2019/10/18 with Emily, Andrew, Kayden.\"\n14815,2019/10/18,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n14816,2019/10/18,I ate steak for dinner.,I ate steak for dinner.\n14817,2019/10/18,\"I talked to Claire, Nevaeh for 10 minutes in the early afternoon.\",\"I talked to Claire, Nevaeh for 10 minutes in the early afternoon.\"\n14818,2019/10/18,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n14819,2019/10/19,\"I had eggs, sausages, and bread for breakfast with Emily, Carter\",\"I had eggs, sausages, and bread for breakfast with Emily, Carter\"\n14820,2019/10/19,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n14821,2019/10/19,\"I had chinese food for dinner with Emily, Kayden, Andrew\",\"I had chinese food for dinner with Emily, Kayden, Andrew\"\n14822,2019/10/19,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n14823,2019/10/19,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n14824,2019/10/20,I did biking on 2019/10/20.,I did biking on 2019/10/20.\n14825,2019/10/20,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n14826,2019/10/21,I did running on 2019/10/21.,I did running on 2019/10/21.\n14827,2019/10/21,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n14828,2019/10/21,I prepare sushi for dinner.,I prepare sushi for dinner.\n14829,2019/10/21,\"I spent 31 talking to Kinsley, Avery, Lydia, Layla on various topics in the morning.\",\"I spent 31 talking to Kinsley, Avery, Lydia, Layla on various topics in the morning.\"\n14830,2019/10/21,I talked to Avery for 11 minutes in the morning.,I talked to Avery for 11 minutes in the morning.\n14831,2019/10/22,I did swimming on 2019/10/22.,I did swimming on 2019/10/22.\n14832,2019/10/22,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n14833,2019/10/22,\"I had lunch with Benjamin, Jackson, Avery, Willow. I ate fish and chips.\",\"I had lunch with Benjamin, Jackson, Avery, Willow. I ate fish and chips.\"\n14834,2019/10/22,\"I spent 22 talking to Piper, Kinsley, Eva on various topics late in the evening.\",\"I spent 22 talking to Piper, Kinsley, Eva on various topics late in the evening.\"\n14835,2019/10/22,\"I talked to Olivia, Claire, Avery for 33 minutes in the early afternoon.\",\"I talked to Olivia, Claire, Avery for 33 minutes in the early afternoon.\"\n14836,2019/10/23,I did running on 2019/10/23.,I did running on 2019/10/23.\n14837,2019/10/23,\"I had dinner with Kayden, Andrew, Emily. I ate fish and chips.\",\"I had dinner with Kayden, Andrew, Emily. I ate fish and chips.\"\n14838,2019/10/23,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n14839,2019/10/24,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n14840,2019/10/24,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n14841,2019/10/24,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n14842,2019/10/25,\"On 2019/10/25, I took Josephine on a date to a boba shop\",\"On 2019/10/25, I took Josephine on a date to a boba shop\"\n14843,2019/10/25,I prepare a burger for lunch.,I prepare a burger for lunch.\n14844,2019/10/25,\"I had chinese food for dinner with Piper, Nora, Eva, Nevaeh, Piper, Avery, Rylee, Kinsley, Layla\",\"I had chinese food for dinner with Piper, Nora, Eva, Nevaeh, Piper, Avery, Rylee, Kinsley, Layla\"\n14845,2019/10/25,\"I spent 12 talking to Claire, Nevaeh on various topics late in the evening.\",\"I spent 12 talking to Claire, Nevaeh on various topics late in the evening.\"\n14846,2019/10/26,I did weight lifting on 2019/10/26.,I did weight lifting on 2019/10/26.\n14847,2019/10/26,I ate cereals for breakfast.,I ate cereals for breakfast.\n14848,2019/10/26,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n14849,2019/10/26,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n14850,2019/10/26,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n14851,2019/10/27,I did HIIT on 2019/10/27.,I did HIIT on 2019/10/27.\n14852,2019/10/27,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n14853,2019/10/27,I had lunch with Kayden. I ate tacos.,I had lunch with Kayden. I ate tacos.\n14854,2019/10/27,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n14855,2019/10/27,\"I spent 35 talking to Layla, Nevaeh, Piper, Hazel on various topics in the early afternoon.\",\"I spent 35 talking to Layla, Nevaeh, Piper, Hazel on various topics in the early afternoon.\"\n14856,2019/10/27,\"I spent 39 talking to Nora, Eva, Lydia, Rylee on various topics in the early evening.\",\"I spent 39 talking to Nora, Eva, Lydia, Rylee on various topics in the early evening.\"\n14857,2019/10/27,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n14858,2019/10/28,I did weight lifting on 2019/10/28.,I did weight lifting on 2019/10/28.\n14859,2019/10/28,I spent 43 minutes watching a movie on TV today.,I spent 43 minutes watching a movie on TV today.\n14860,2019/10/29,I did weight lifting on 2019/10/29.,I did weight lifting on 2019/10/29.\n14861,2019/10/29,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n14862,2019/10/29,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n14863,2019/10/29,\"I spent 34 talking to Claire, Rylee, Piper, Layla on various topics in the early evening.\",\"I spent 34 talking to Claire, Rylee, Piper, Layla on various topics in the early evening.\"\n14864,2019/10/29,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n14865,2019/10/30,I did weight lifting on 2019/10/30.,I did weight lifting on 2019/10/30.\n14866,2019/10/30,I prepare sushi for lunch.,I prepare sushi for lunch.\n14867,2019/10/30,\"I talked to Kinsley, Lydia, Nora, Hazel for 48 minutes in the early evening.\",\"I talked to Kinsley, Lydia, Nora, Hazel for 48 minutes in the early evening.\"\n14868,2019/10/30,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n14869,2019/10/30,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n14870,2019/10/31,I did weight lifting on 2019/10/31.,I did weight lifting on 2019/10/31.\n14871,2019/10/31,\"I had oatmeal for breakfast with Lydia, Hazel, Rylee, Kinsley, Avery, Nevaeh, Nora, Claire, Layla, Piper, Olivia, Piper, Eva\",\"I had oatmeal for breakfast with Lydia, Hazel, Rylee, Kinsley, Avery, Nevaeh, Nora, Claire, Layla, Piper, Olivia, Piper, Eva\"\n14872,2019/10/31,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n14873,2019/11/01,I really enjoyed meditation on 2019/11/01,I really enjoyed meditation on 2019/11/01\n14874,2019/11/01,\"I talked to Lydia, Olivia for 40 minutes in the late afternoon.\",\"I talked to Lydia, Olivia for 40 minutes in the late afternoon.\"\n14875,2019/11/01,I watched a documentary for 41 minutes on TV today.,I watched a documentary for 41 minutes on TV today.\n14876,2019/11/02,\"I had lunch with Kayden, Emily, Andrew. I ate fish and chips.\",\"I had lunch with Kayden, Emily, Andrew. I ate fish and chips.\"\n14877,2019/11/02,I spent 22 talking to Lydia on various topics late in the evening.,I spent 22 talking to Lydia on various topics late in the evening.\n14878,2019/11/02,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n14879,2019/11/02,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n14880,2019/11/03,\"I had dinner with Avery, Benjamin. I ate tacos.\",\"I had dinner with Avery, Benjamin. I ate tacos.\"\n14881,2019/11/03,\"I spent 46 talking to Nora, Kinsley, Avery on various topics in the late afternoon.\",\"I spent 46 talking to Nora, Kinsley, Avery on various topics in the late afternoon.\"\n14882,2019/11/04,\"I bought some blueberries, apricots, pears, peaches, mineral water, coffee, facial wash online.\",\"I bought some blueberries, apricots, pears, peaches, mineral water, coffee, facial wash online.\"\n14883,2019/11/04,I did swimming on 2019/11/04.,I did swimming on 2019/11/04.\n14884,2019/11/04,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n14885,2019/11/04,I talked to Nora for 27 minutes in the morning.,I talked to Nora for 27 minutes in the morning.\n14886,2019/11/04,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n14887,2019/11/05,I had lunch with Benjamin. I ate sandwich.,I had lunch with Benjamin. I ate sandwich.\n14888,2019/11/05,I ate sandwich for dinner.,I ate sandwich for dinner.\n14889,2019/11/05,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n14890,2019/11/06,I had lunch with Willow. I ate a burger.,I had lunch with Willow. I ate a burger.\n14891,2019/11/06,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n14892,2019/11/06,\"I spent 55 talking to Piper, Layla on various topics during lunch hours.\",\"I spent 55 talking to Piper, Layla on various topics during lunch hours.\"\n14893,2019/11/06,\"I talked to Lydia, Avery for 29 minutes during lunch hours.\",\"I talked to Lydia, Avery for 29 minutes during lunch hours.\"\n14894,2019/11/07,\"I had dinner with Carter, Emily. I ate steak.\",\"I had dinner with Carter, Emily. I ate steak.\"\n14895,2019/11/07,\"I talked to Piper, Hazel, Nora for 48 minutes late in the evening.\",\"I talked to Piper, Hazel, Nora for 48 minutes late in the evening.\"\n14896,2019/11/07,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n14897,2019/11/08,I did weight lifting on 2019/11/08.,I did weight lifting on 2019/11/08.\n14898,2019/11/08,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n14899,2019/11/08,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n14900,2019/11/08,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n14901,2019/11/09,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n14902,2019/11/09,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n14903,2019/11/10,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n14904,2019/11/10,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n14905,2019/11/10,I ate steak for dinner.,I ate steak for dinner.\n14906,2019/11/10,I spent 27 minutes on social media today.,I spent 27 minutes on social media today.\n14907,2019/11/11,I did running on 2019/11/11.,I did running on 2019/11/11.\n14908,2019/11/11,\"I had indian food for lunch with Andrew, Emily, Kayden, Carter\",\"I had indian food for lunch with Andrew, Emily, Kayden, Carter\"\n14909,2019/11/12,I did HIIT on 2019/11/12.,I did HIIT on 2019/11/12.\n14910,2019/11/12,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14911,2019/11/12,I had lunch. I ate steak.,I had lunch. I ate steak.\n14912,2019/11/12,\"I had tacos for dinner with Emily, Andrew, Carter, Kayden\",\"I had tacos for dinner with Emily, Andrew, Carter, Kayden\"\n14913,2019/11/12,\"I talked to Claire, Kinsley, Olivia for 50 minutes in the early evening.\",\"I talked to Claire, Kinsley, Olivia for 50 minutes in the early evening.\"\n14914,2019/11/12,I spent 7 minutes watching a documentary on TV today.,I spent 7 minutes watching a documentary on TV today.\n14915,2019/11/13,I did HIIT on 2019/11/13.,I did HIIT on 2019/11/13.\n14916,2019/11/13,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n14917,2019/11/13,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n14918,2019/11/14,\"I had lunch with Layla, Lydia. I ate chinese food.\",\"I had lunch with Layla, Lydia. I ate chinese food.\"\n14919,2019/11/14,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n14920,2019/11/15,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n14921,2019/11/15,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n14922,2019/11/15,I talked to Piper for 53 minutes late in the evening.,I talked to Piper for 53 minutes late in the evening.\n14923,2019/11/15,\"I talked to Claire, Kinsley for 33 minutes late in the evening.\",\"I talked to Claire, Kinsley for 33 minutes late in the evening.\"\n14924,2019/11/15,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n14925,2019/11/15,I spent 27 minutes watching a documentary on TV today.,I spent 27 minutes watching a documentary on TV today.\n14926,2019/11/16,I did weight lifting on 2019/11/16.,I did weight lifting on 2019/11/16.\n14927,2019/11/16,\"I spent 7 talking to Eva, Kinsley, Nora, Lydia on various topics in the early afternoon.\",\"I spent 7 talking to Eva, Kinsley, Nora, Lydia on various topics in the early afternoon.\"\n14928,2019/11/17,\"I had toast and cheese for breakfast with Nora, Claire, Rylee, Piper, Olivia, Eva, Nevaeh, Kinsley, Piper, Hazel, Layla, Avery\",\"I had toast and cheese for breakfast with Nora, Claire, Rylee, Piper, Olivia, Eva, Nevaeh, Kinsley, Piper, Hazel, Layla, Avery\"\n14929,2019/11/17,I had lunch. I ate steak.,I had lunch. I ate steak.\n14930,2019/11/17,\"I talked to Avery, Lydia, Nora for 6 minutes in the early afternoon.\",\"I talked to Avery, Lydia, Nora for 6 minutes in the early afternoon.\"\n14931,2019/11/18,\"I had peanut-butter-jam for breakfast with Willow, Avery\",\"I had peanut-butter-jam for breakfast with Willow, Avery\"\n14932,2019/11/18,\"I had dinner with Andrew, Kayden, Emily, Carter. I ate sushi.\",\"I had dinner with Andrew, Kayden, Emily, Carter. I ate sushi.\"\n14933,2019/11/18,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n14934,2019/11/19,I ate steak for dinner.,I ate steak for dinner.\n14935,2019/11/20,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n14936,2019/11/20,\"I spent 49 talking to Nora, Lydia, Nevaeh on various topics in the early afternoon.\",\"I spent 49 talking to Nora, Lydia, Nevaeh on various topics in the early afternoon.\"\n14937,2019/11/20,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n14938,2019/11/21,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n14939,2019/11/21,I spent 8 talking to Olivia on various topics during lunch hours.,I spent 8 talking to Olivia on various topics during lunch hours.\n14940,2019/11/21,I spent 21 minutes watching a documentary on TV today.,I spent 21 minutes watching a documentary on TV today.\n14941,2019/11/22,\"I bought some clementines, apples, chocolate milk, soda, pineapple juice, sports drinks, shaving cream from the grocery store. I saw Kayden, Andrew at the grocery store.\",\"I bought some clementines, apples, chocolate milk, soda, pineapple juice, sports drinks, shaving cream from the grocery store. I saw Kayden, Andrew at the grocery store.\"\n14942,2019/11/22,I did swimming on 2019/11/22.,I did swimming on 2019/11/22.\n14943,2019/11/22,I ate indian food for lunch.,I ate indian food for lunch.\n14944,2019/11/22,\"I had sandwich for dinner with Kayden, Emily, Andrew, Carter\",\"I had sandwich for dinner with Kayden, Emily, Andrew, Carter\"\n14945,2019/11/23,\"I was baking carrot cake, brownies on 2019/11/23 with Avery, Jackson, Willow at my place\",\"I was baking carrot cake, brownies on 2019/11/23 with Avery, Jackson, Willow at my place\"\n14946,2019/11/23,I went on a date with Leah on 2019/11/23 at a park,I went on a date with Leah on 2019/11/23 at a park\n14947,2019/11/23,I had breakfast with Kayden. I ate pancakes.,I had breakfast with Kayden. I ate pancakes.\n14948,2019/11/23,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n14949,2019/11/23,I prepare a burger for dinner.,I prepare a burger for dinner.\n14950,2019/11/23,\"I talked to Eva, Claire for 47 minutes in the morning.\",\"I talked to Eva, Claire for 47 minutes in the morning.\"\n14951,2019/11/23,I talked to Olivia for 15 minutes in the morning.,I talked to Olivia for 15 minutes in the morning.\n14952,2019/11/23,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n14953,2019/11/23,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n14954,2019/11/24,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n14955,2019/11/24,\"I had steak for lunch with Avery, Benjamin\",\"I had steak for lunch with Avery, Benjamin\"\n14956,2019/11/24,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n14957,2019/11/24,\"I talked to Nora, Olivia for 26 minutes during lunch hours.\",\"I talked to Nora, Olivia for 26 minutes during lunch hours.\"\n14958,2019/11/24,\"I talked to Claire, Avery for 54 minutes in the morning.\",\"I talked to Claire, Avery for 54 minutes in the morning.\"\n14959,2019/11/25,\"I had fish and chips for lunch with Hazel, Claire, Olivia, Piper, Eva, Rylee, Piper, Layla, Kinsley\",\"I had fish and chips for lunch with Hazel, Claire, Olivia, Piper, Eva, Rylee, Piper, Layla, Kinsley\"\n14960,2019/11/25,\"I spent 23 talking to Nevaeh, Claire, Nora on various topics in the late afternoon.\",\"I spent 23 talking to Nevaeh, Claire, Nora on various topics in the late afternoon.\"\n14961,2019/11/25,I spent 5 minutes on social media today.,I spent 5 minutes on social media today.\n14962,2019/11/26,\"On 2019/11/26, I took Everleigh on a date to a park\",\"On 2019/11/26, I took Everleigh on a date to a park\"\n14963,2019/11/26,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n14964,2019/11/26,I ate a burger for dinner.,I ate a burger for dinner.\n14965,2019/11/26,\"I spent 26 talking to Piper, Avery, Claire, Lydia on various topics during lunch hours.\",\"I spent 26 talking to Piper, Avery, Claire, Lydia on various topics during lunch hours.\"\n14966,2019/11/26,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n14967,2019/11/27,\"I had indian food for lunch with Willow, Avery, Jackson\",\"I had indian food for lunch with Willow, Avery, Jackson\"\n14968,2019/11/27,I ate steak for dinner.,I ate steak for dinner.\n14969,2019/11/27,I spent 24 talking to Nora on various topics in the early afternoon.,I spent 24 talking to Nora on various topics in the early afternoon.\n14970,2019/11/27,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n14971,2019/11/28,\"I went grocery shopping with Carter. I bought some strawberries, blueberries, watermelons, raspberries, coffee, apple juice, and facial wash\",\"I went grocery shopping with Carter. I bought some strawberries, blueberries, watermelons, raspberries, coffee, apple juice, and facial wash\"\n14972,2019/11/28,\"I talked to Avery, Layla, Nevaeh, Olivia for 12 minutes in the late afternoon.\",\"I talked to Avery, Layla, Nevaeh, Olivia for 12 minutes in the late afternoon.\"\n14973,2019/11/28,\"I talked to Hazel, Kinsley, Piper, Piper for 7 minutes during lunch hours.\",\"I talked to Hazel, Kinsley, Piper, Piper for 7 minutes during lunch hours.\"\n14974,2019/11/29,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n14975,2019/11/29,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n14976,2019/11/29,I had dinner with Kayden. I ate sushi.,I had dinner with Kayden. I ate sushi.\n14977,2019/11/29,\"I talked to Nevaeh, Kinsley, Avery for 19 minutes in the morning.\",\"I talked to Nevaeh, Kinsley, Avery for 19 minutes in the morning.\"\n14978,2019/11/30,I ate pasta for dinner.,I ate pasta for dinner.\n14979,2019/11/30,I spent 51 talking to Claire on various topics in the early afternoon.,I spent 51 talking to Claire on various topics in the early afternoon.\n14980,2019/11/30,I spent 38 minutes watching a movie on TV today.,I spent 38 minutes watching a movie on TV today.\n14981,2019/12/01,I spent some time learning a language on 2019/12/01.,I spent some time learning a language on 2019/12/01.\n14982,2019/12/01,\"I had lunch with Willow, Avery. I ate pasta.\",\"I had lunch with Willow, Avery. I ate pasta.\"\n14983,2019/12/01,\"I spent 5 talking to Piper, Eva, Kinsley on various topics in the early evening.\",\"I spent 5 talking to Piper, Eva, Kinsley on various topics in the early evening.\"\n14984,2019/12/01,\"I spent 22 talking to Rylee, Kinsley, Hazel, Avery on various topics in the morning.\",\"I spent 22 talking to Rylee, Kinsley, Hazel, Avery on various topics in the morning.\"\n14985,2019/12/02,Kayden for his/her  and I went for an annual vision checkup at the university hospital on 2019/12/02.,Kayden for his/her  and I went for an annual vision checkup at the university hospital on 2019/12/02.\n14986,2019/12/02,I did swimming on 2019/12/02.,I did swimming on 2019/12/02.\n14987,2019/12/02,I prepare pasta for lunch.,I prepare pasta for lunch.\n14988,2019/12/02,\"I talked to Rylee, Nora for 29 minutes during lunch hours.\",\"I talked to Rylee, Nora for 29 minutes during lunch hours.\"\n14989,2019/12/02,\"I talked to Hazel, Nevaeh, Piper for 51 minutes in the early afternoon.\",\"I talked to Hazel, Nevaeh, Piper for 51 minutes in the early afternoon.\"\n14990,2019/12/02,I spent 13 minutes reading news today.,I spent 13 minutes reading news today.\n14991,2019/12/02,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n14992,2019/12/03,\"I spent 32 talking to Olivia, Kinsley, Layla, Eva on various topics during lunch hours.\",\"I spent 32 talking to Olivia, Kinsley, Layla, Eva on various topics during lunch hours.\"\n14993,2019/12/03,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n14994,2019/12/03,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n14995,2019/12/04,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n14996,2019/12/04,\"I had steak for lunch with Carter, Kayden, Andrew\",\"I had steak for lunch with Carter, Kayden, Andrew\"\n14997,2019/12/04,\"I talked to Lydia, Avery, Hazel for 7 minutes in the early afternoon.\",\"I talked to Lydia, Avery, Hazel for 7 minutes in the early afternoon.\"\n14998,2019/12/04,I watched news for 44 minutes on TV today.,I watched news for 44 minutes on TV today.\n14999,2019/12/05,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n15000,2019/12/05,I spent 45 talking to Olivia on various topics during lunch hours.,I spent 45 talking to Olivia on various topics during lunch hours.\n15001,2019/12/05,\"I spent 50 talking to Nevaeh, Lydia, Piper, Olivia on various topics in the late afternoon.\",\"I spent 50 talking to Nevaeh, Lydia, Piper, Olivia on various topics in the late afternoon.\"\n15002,2019/12/05,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n15003,2019/12/06,I spent some time meditation on 2019/12/06.,I spent some time meditation on 2019/12/06.\n15004,2019/12/06,I did running on 2019/12/06.,I did running on 2019/12/06.\n15005,2019/12/06,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n15006,2019/12/06,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n15007,2019/12/06,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n15008,2019/12/07,I did weight lifting on 2019/12/07.,I did weight lifting on 2019/12/07.\n15009,2019/12/07,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n15010,2019/12/07,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n15011,2019/12/07,\"I had chinese food for dinner with Kayden, Carter, Andrew, Emily\",\"I had chinese food for dinner with Kayden, Carter, Andrew, Emily\"\n15012,2019/12/07,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n15013,2019/12/08,I did biking on 2019/12/08.,I did biking on 2019/12/08.\n15014,2019/12/08,\"I had breakfast with Claire, Rylee, Nevaeh, Piper, Nora, Hazel, Piper, Kinsley, Lydia. I ate eggs, sausages, and bread.\",\"I had breakfast with Claire, Rylee, Nevaeh, Piper, Nora, Hazel, Piper, Kinsley, Lydia. I ate eggs, sausages, and bread.\"\n15015,2019/12/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n15016,2019/12/08,\"I had sandwich for dinner with Piper, Nevaeh, Lydia, Piper, Claire, Rylee, Kinsley, Avery, Nora, Olivia, Hazel, Eva\",\"I had sandwich for dinner with Piper, Nevaeh, Lydia, Piper, Claire, Rylee, Kinsley, Avery, Nora, Olivia, Hazel, Eva\"\n15017,2019/12/08,I spent 22 minutes on social media today.,I spent 22 minutes on social media today.\n15018,2019/12/09,\"I went grocery shopping. I bought some bananas, soda, and toothbrush, paper towel\",\"I went grocery shopping. I bought some bananas, soda, and toothbrush, paper towel\"\n15019,2019/12/09,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n15020,2019/12/09,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n15021,2019/12/09,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n15022,2019/12/10,I did biking on 2019/12/10.,I did biking on 2019/12/10.\n15023,2019/12/10,\"I had dinner with Kayden, Andrew, Emily. I ate a burger.\",\"I had dinner with Kayden, Andrew, Emily. I ate a burger.\"\n15024,2019/12/10,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n15025,2019/12/11,I did biking on 2019/12/11.,I did biking on 2019/12/11.\n15026,2019/12/11,\"I had dinner with Andrew, Emily, Kayden, Carter. I ate steak.\",\"I had dinner with Andrew, Emily, Kayden, Carter. I ate steak.\"\n15027,2019/12/12,\"I had oatmeal for breakfast with Benjamin, Jackson, Avery\",\"I had oatmeal for breakfast with Benjamin, Jackson, Avery\"\n15028,2019/12/12,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n15029,2019/12/12,\"I spent 30 talking to Hazel, Piper, Nora, Claire on various topics in the early evening.\",\"I spent 30 talking to Hazel, Piper, Nora, Claire on various topics in the early evening.\"\n15030,2019/12/12,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n15031,2019/12/12,I spent 6 minutes watching a tv series on TV today.,I spent 6 minutes watching a tv series on TV today.\n15032,2019/12/13,I spent time learning a language on 2019/12/13 with Kayden.,I spent time learning a language on 2019/12/13 with Kayden.\n15033,2019/12/13,I ate sushi for lunch.,I ate sushi for lunch.\n15034,2019/12/13,I ate a burger for dinner.,I ate a burger for dinner.\n15035,2019/12/14,I did swimming on 2019/12/14.,I did swimming on 2019/12/14.\n15036,2019/12/14,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n15037,2019/12/14,I spent 45 talking to Layla on various topics in the early evening.,I spent 45 talking to Layla on various topics in the early evening.\n15038,2019/12/14,I spent 26 minutes watching news on TV today.,I spent 26 minutes watching news on TV today.\n15039,2019/12/15,\"I bought some bananas, coffee, milk, mouthwash, shaving cream, mouth wash from the grocery store. I saw Andrew at the grocery store.\",\"I bought some bananas, coffee, milk, mouthwash, shaving cream, mouth wash from the grocery store. I saw Andrew at the grocery store.\"\n15040,2019/12/15,I did HIIT on 2019/12/15.,I did HIIT on 2019/12/15.\n15041,2019/12/15,\"I had breakfast with Avery, Hazel, Nevaeh, Claire. I ate pancakes.\",\"I had breakfast with Avery, Hazel, Nevaeh, Claire. I ate pancakes.\"\n15042,2019/12/15,\"I had sandwich for dinner with Nevaeh, Piper, Piper\",\"I had sandwich for dinner with Nevaeh, Piper, Piper\"\n15043,2019/12/15,\"I talked to Piper, Rylee for 35 minutes in the morning.\",\"I talked to Piper, Rylee for 35 minutes in the morning.\"\n15044,2019/12/15,\"I spent 6 talking to Piper, Avery, Lydia on various topics late in the evening.\",\"I spent 6 talking to Piper, Avery, Lydia on various topics late in the evening.\"\n15045,2019/12/15,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n15046,2019/12/16,\"On 2019/12/16, I took Olivia on a date to a boba shop\",\"On 2019/12/16, I took Olivia on a date to a boba shop\"\n15047,2019/12/16,\"I had lunch with Kinsley, Layla, Eva, Piper. I ate sushi.\",\"I had lunch with Kinsley, Layla, Eva, Piper. I ate sushi.\"\n15048,2019/12/16,I ate tacos for dinner.,I ate tacos for dinner.\n15049,2019/12/16,I talked to Hazel for 6 minutes during lunch hours.,I talked to Hazel for 6 minutes during lunch hours.\n15050,2019/12/16,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n15051,2019/12/17,I prepare tacos for lunch.,I prepare tacos for lunch.\n15052,2019/12/17,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n15053,2019/12/17,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n15054,2019/12/18,I really enjoyed gardening on 2019/12/18,I really enjoyed gardening on 2019/12/18\n15055,2019/12/18,\"I had tacos for lunch with Emily, Carter, Andrew\",\"I had tacos for lunch with Emily, Carter, Andrew\"\n15056,2019/12/18,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n15057,2019/12/19,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n15058,2019/12/19,\"I had sandwich for lunch with Piper, Claire, Layla, Nora\",\"I had sandwich for lunch with Piper, Claire, Layla, Nora\"\n15059,2019/12/19,\"I talked to Piper, Kinsley, Nora for 7 minutes during lunch hours.\",\"I talked to Piper, Kinsley, Nora for 7 minutes during lunch hours.\"\n15060,2019/12/19,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n15061,2019/12/20,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n15062,2019/12/20,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n15063,2019/12/20,I had dinner with Hazel. I ate tacos.,I had dinner with Hazel. I ate tacos.\n15064,2019/12/20,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n15065,2019/12/21,I did HIIT on 2019/12/21.,I did HIIT on 2019/12/21.\n15066,2019/12/21,\"I had breakfast with Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Willow. I ate eggs, sausages, and bread.\"\n15067,2019/12/21,\"I talked to Claire, Hazel, Nora for 9 minutes in the late afternoon.\",\"I talked to Claire, Hazel, Nora for 9 minutes in the late afternoon.\"\n15068,2019/12/21,\"I talked to Rylee, Lydia, Claire for 13 minutes in the late afternoon.\",\"I talked to Rylee, Lydia, Claire for 13 minutes in the late afternoon.\"\n15069,2019/12/22,\"On 2019/12/22, I took Zoe on a date to a park\",\"On 2019/12/22, I took Zoe on a date to a park\"\n15070,2019/12/22,I spent some time gardening on 2019/12/22.,I spent some time gardening on 2019/12/22.\n15071,2019/12/22,\"I bought some blackberries, chocolate milk, tea, mineral water, mouth wash from the grocery store. I saw Willow at the grocery store.\",\"I bought some blackberries, chocolate milk, tea, mineral water, mouth wash from the grocery store. I saw Willow at the grocery store.\"\n15072,2019/12/22,I did HIIT on 2019/12/22.,I did HIIT on 2019/12/22.\n15073,2019/12/22,I prepare steak for lunch.,I prepare steak for lunch.\n15074,2019/12/22,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n15075,2019/12/22,I spent 12 minutes watching a tv series on TV today.,I spent 12 minutes watching a tv series on TV today.\n15076,2019/12/23,I did HIIT on 2019/12/23.,I did HIIT on 2019/12/23.\n15077,2019/12/23,\"I had pasta for lunch with Nora, Nevaeh, Eva, Hazel, Claire\",\"I had pasta for lunch with Nora, Nevaeh, Eva, Hazel, Claire\"\n15078,2019/12/23,\"I talked to Nora, Avery, Eva for 51 minutes in the late afternoon.\",\"I talked to Nora, Avery, Eva for 51 minutes in the late afternoon.\"\n15079,2019/12/23,I spent 50 minutes reading news today.,I spent 50 minutes reading news today.\n15080,2019/12/24,I did weight lifting on 2019/12/24.,I did weight lifting on 2019/12/24.\n15081,2019/12/24,\"I had pancakes for breakfast with Willow, Jackson, Avery, Benjamin\",\"I had pancakes for breakfast with Willow, Jackson, Avery, Benjamin\"\n15082,2019/12/24,\"I had fish and chips for lunch with Carter, Emily\",\"I had fish and chips for lunch with Carter, Emily\"\n15083,2019/12/24,I talked to Lydia for 17 minutes in the late afternoon.,I talked to Lydia for 17 minutes in the late afternoon.\n15084,2019/12/24,I spent 24 minutes watching a tv series on TV today.,I spent 24 minutes watching a tv series on TV today.\n15085,2019/12/25,I did biking on 2019/12/25.,I did biking on 2019/12/25.\n15086,2019/12/25,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n15087,2019/12/25,\"I had pasta for dinner with Claire, Nevaeh, Kinsley, Hazel, Rylee, Olivia, Nora, Piper\",\"I had pasta for dinner with Claire, Nevaeh, Kinsley, Hazel, Rylee, Olivia, Nora, Piper\"\n15088,2019/12/25,\"I spent 24 talking to Nora, Olivia on various topics late in the evening.\",\"I spent 24 talking to Nora, Olivia on various topics late in the evening.\"\n15089,2019/12/26,I did hiking on 2019/12/26.,I did hiking on 2019/12/26.\n15090,2019/12/26,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n15091,2019/12/26,\"I had tacos for dinner with Andrew, Carter, Kayden, Emily\",\"I had tacos for dinner with Andrew, Carter, Kayden, Emily\"\n15092,2019/12/26,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n15093,2019/12/27,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n15094,2019/12/27,I had indian food for lunch with Kayden,I had indian food for lunch with Kayden\n15095,2019/12/27,\"I spent 9 talking to Piper, Layla, Piper on various topics in the early evening.\",\"I spent 9 talking to Piper, Layla, Piper on various topics in the early evening.\"\n15096,2019/12/27,I talked to Piper for 11 minutes in the late afternoon.,I talked to Piper for 11 minutes in the late afternoon.\n15097,2019/12/28,\"On 2019/12/28, I took Everly on a date to a park\",\"On 2019/12/28, I took Everly on a date to a park\"\n15098,2019/12/28,I did HIIT on 2019/12/28.,I did HIIT on 2019/12/28.\n15099,2019/12/28,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n15100,2019/12/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n15101,2019/12/29,I did hiking on 2019/12/29.,I did hiking on 2019/12/29.\n15102,2019/12/29,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n15103,2019/12/29,I had pasta for dinner with Avery,I had pasta for dinner with Avery\n15104,2019/12/29,I watched a movie for 14 minutes on TV today.,I watched a movie for 14 minutes on TV today.\n15105,2019/12/30,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n15106,2019/12/30,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n15107,2019/12/30,\"I talked to Eva, Claire for 19 minutes late in the evening.\",\"I talked to Eva, Claire for 19 minutes late in the evening.\"\n15108,2019/12/30,\"I talked to Layla, Claire, Avery, Eva for 46 minutes late in the evening.\",\"I talked to Layla, Claire, Avery, Eva for 46 minutes late in the evening.\"\n15109,2019/12/30,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n15110,2019/12/30,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n15111,2019/12/31,\"I had breakfast with Avery, Jackson, Benjamin. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Jackson, Benjamin. I ate peanut-butter-jam.\"\n15112,2020/01/01,I did HIIT on 2020/01/01.,I did HIIT on 2020/01/01.\n15113,2020/01/01,I prepare steak for lunch.,I prepare steak for lunch.\n15114,2020/01/01,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n15115,2020/01/01,I spent 11 minutes watching a documentary on TV today.,I spent 11 minutes watching a documentary on TV today.\n15116,2020/01/02,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n15117,2020/01/02,\"I talked to Olivia, Layla, Lydia for 9 minutes in the early afternoon.\",\"I talked to Olivia, Layla, Lydia for 9 minutes in the early afternoon.\"\n15118,2020/01/02,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n15119,2020/01/02,I spent 23 minutes watching a tv series on TV today.,I spent 23 minutes watching a tv series on TV today.\n15120,2020/01/03,I went on a date with Mike on 2020/01/03 at a restaurant,I went on a date with Mike on 2020/01/03 at a restaurant\n15121,2020/01/03,\"I bought some mandarins, chocolate milk, guava juice, mouth wash, toothbrush from the grocery store. I saw Eva at the grocery store.\",\"I bought some mandarins, chocolate milk, guava juice, mouth wash, toothbrush from the grocery store. I saw Eva at the grocery store.\"\n15122,2020/01/03,\"I had lunch with Layla, Avery, Lydia, Olivia, Eva, Nora, Rylee, Kinsley, Claire, Piper, Hazel, Piper, Nevaeh. I ate fish and chips.\",\"I had lunch with Layla, Avery, Lydia, Olivia, Eva, Nora, Rylee, Kinsley, Claire, Piper, Hazel, Piper, Nevaeh. I ate fish and chips.\"\n15123,2020/01/03,\"I spent 48 talking to Olivia, Nevaeh, Avery on various topics in the morning.\",\"I spent 48 talking to Olivia, Nevaeh, Avery on various topics in the morning.\"\n15124,2020/01/04,\"I went grocery shopping. I bought some mangos, oranges, apricots, bananas, mineral water, orange juice, and toothbrush\",\"I went grocery shopping. I bought some mangos, oranges, apricots, bananas, mineral water, orange juice, and toothbrush\"\n15125,2020/01/04,I did HIIT on 2020/01/04.,I did HIIT on 2020/01/04.\n15126,2020/01/04,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n15127,2020/01/04,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n15128,2020/01/04,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n15129,2020/01/04,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n15130,2020/01/05,I did HIIT on 2020/01/05.,I did HIIT on 2020/01/05.\n15131,2020/01/05,\"I had lunch with Layla, Avery, Olivia, Nevaeh, Piper, Rylee, Lydia, Piper. I ate a burger.\",\"I had lunch with Layla, Avery, Olivia, Nevaeh, Piper, Rylee, Lydia, Piper. I ate a burger.\"\n15132,2020/01/05,\"I spent 40 talking to Nora, Nevaeh, Hazel, Layla on various topics in the late afternoon.\",\"I spent 40 talking to Nora, Nevaeh, Hazel, Layla on various topics in the late afternoon.\"\n15133,2020/01/06,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n15134,2020/01/06,\"I had pasta for lunch with Avery, Kinsley, Hazel, Olivia, Layla, Nevaeh, Piper, Claire, Eva, Lydia, Piper\",\"I had pasta for lunch with Avery, Kinsley, Hazel, Olivia, Layla, Nevaeh, Piper, Claire, Eva, Lydia, Piper\"\n15135,2020/01/06,\"I spent 41 talking to Kinsley, Rylee, Piper, Eva on various topics late in the evening.\",\"I spent 41 talking to Kinsley, Rylee, Piper, Eva on various topics late in the evening.\"\n15136,2020/01/06,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n15137,2020/01/07,I went on a date with Julian on 2020/01/07 at a coffee Shop,I went on a date with Julian on 2020/01/07 at a coffee Shop\n15138,2020/01/07,I did HIIT on 2020/01/07.,I did HIIT on 2020/01/07.\n15139,2020/01/07,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n15140,2020/01/07,I had dinner with Kayden. I ate pasta.,I had dinner with Kayden. I ate pasta.\n15141,2020/01/07,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n15142,2020/01/08,I prepare indian food for lunch.,I prepare indian food for lunch.\n15143,2020/01/08,\"I talked to Kinsley, Lydia for 48 minutes in the morning.\",\"I talked to Kinsley, Lydia for 48 minutes in the morning.\"\n15144,2020/01/08,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n15145,2020/01/08,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n15146,2020/01/09,I did hiking on 2020/01/09.,I did hiking on 2020/01/09.\n15147,2020/01/09,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n15148,2020/01/09,\"I spent 24 talking to Lydia, Kinsley on various topics in the morning.\",\"I spent 24 talking to Lydia, Kinsley on various topics in the morning.\"\n15149,2020/01/09,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n15150,2020/01/10,I spent 24 minutes on a book today.,I spent 24 minutes on a book today.\n15151,2020/01/11,I spent time yoga on 2020/01/11 with Andrew.,I spent time yoga on 2020/01/11 with Andrew.\n15152,2020/01/11,I did biking on 2020/01/11.,I did biking on 2020/01/11.\n15153,2020/01/11,\"I had indian food for dinner with Carter, Andrew, Emily\",\"I had indian food for dinner with Carter, Andrew, Emily\"\n15154,2020/01/11,\"I talked to Piper, Hazel, Eva for 31 minutes during lunch hours.\",\"I talked to Piper, Hazel, Eva for 31 minutes during lunch hours.\"\n15155,2020/01/11,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n15156,2020/01/12,I did weight lifting on 2020/01/12.,I did weight lifting on 2020/01/12.\n15157,2020/01/12,\"I had lunch with Willow, Avery. I ate fish and chips.\",\"I had lunch with Willow, Avery. I ate fish and chips.\"\n15158,2020/01/12,\"I had sandwich for dinner with Nora, Kinsley\",\"I had sandwich for dinner with Nora, Kinsley\"\n15159,2020/01/12,I talked to Nevaeh for 45 minutes in the early afternoon.,I talked to Nevaeh for 45 minutes in the early afternoon.\n15160,2020/01/12,\"I talked to Piper, Kinsley, Nevaeh, Eva for 23 minutes during lunch hours.\",\"I talked to Piper, Kinsley, Nevaeh, Eva for 23 minutes during lunch hours.\"\n15161,2020/01/12,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n15162,2020/01/13,I did hiking on 2020/01/13.,I did hiking on 2020/01/13.\n15163,2020/01/13,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n15164,2020/01/13,\"I talked to Kinsley, Nora for 44 minutes in the early evening.\",\"I talked to Kinsley, Nora for 44 minutes in the early evening.\"\n15165,2020/01/14,\"I talked to Piper, Kinsley, Layla, Nora for 27 minutes in the morning.\",\"I talked to Piper, Kinsley, Layla, Nora for 27 minutes in the morning.\"\n15166,2020/01/15,\"I had eggs, sausages, and bread for breakfast with Avery\",\"I had eggs, sausages, and bread for breakfast with Avery\"\n15167,2020/01/15,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n15168,2020/01/15,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n15169,2020/01/15,\"I spent 47 talking to Olivia, Hazel, Piper, Piper on various topics in the early afternoon.\",\"I spent 47 talking to Olivia, Hazel, Piper, Piper on various topics in the early afternoon.\"\n15170,2020/01/15,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n15171,2020/01/16,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n15172,2020/01/16,I spent 25 minutes watching a documentary on TV today.,I spent 25 minutes watching a documentary on TV today.\n15173,2020/01/17,I ate indian food for dinner.,I ate indian food for dinner.\n15174,2020/01/17,\"I talked to Hazel, Kinsley for 53 minutes in the late afternoon.\",\"I talked to Hazel, Kinsley for 53 minutes in the late afternoon.\"\n15175,2020/01/17,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n15176,2020/01/17,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n15177,2020/01/18,\"I bought some cherres, pears, guava juice, tea, toilet paper from the grocery store. I saw Piper, Avery, Nevaeh, Olivia, Eva, Lydia, Claire, Nora at the grocery store.\",\"I bought some cherres, pears, guava juice, tea, toilet paper from the grocery store. I saw Piper, Avery, Nevaeh, Olivia, Eva, Lydia, Claire, Nora at the grocery store.\"\n15178,2020/01/18,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n15179,2020/01/19,I prepare indian food for dinner.,I prepare indian food for dinner.\n15180,2020/01/19,\"I spent 30 talking to Nevaeh, Piper, Kinsley, Rylee on various topics late in the evening.\",\"I spent 30 talking to Nevaeh, Piper, Kinsley, Rylee on various topics late in the evening.\"\n15181,2020/01/19,\"I spent 6 talking to Avery, Eva, Piper, Olivia on various topics during lunch hours.\",\"I spent 6 talking to Avery, Eva, Piper, Olivia on various topics during lunch hours.\"\n15182,2020/01/19,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n15183,2020/01/20,I did swimming on 2020/01/20.,I did swimming on 2020/01/20.\n15184,2020/01/20,I prepare indian food for dinner.,I prepare indian food for dinner.\n15185,2020/01/20,I spent 51 talking to Kinsley on various topics in the morning.,I spent 51 talking to Kinsley on various topics in the morning.\n15186,2020/01/21,I did weight lifting on 2020/01/21.,I did weight lifting on 2020/01/21.\n15187,2020/01/21,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n15188,2020/01/21,\"I talked to Kinsley, Piper for 14 minutes late in the evening.\",\"I talked to Kinsley, Piper for 14 minutes late in the evening.\"\n15189,2020/01/21,\"I talked to Layla, Rylee, Hazel for 50 minutes in the late afternoon.\",\"I talked to Layla, Rylee, Hazel for 50 minutes in the late afternoon.\"\n15190,2020/01/22,I did swimming on 2020/01/22.,I did swimming on 2020/01/22.\n15191,2020/01/22,I had sandwich for lunch with Kayden,I had sandwich for lunch with Kayden\n15192,2020/01/22,I prepare steak for dinner.,I prepare steak for dinner.\n15193,2020/01/22,\"I talked to Piper, Lydia, Nevaeh for 42 minutes during lunch hours.\",\"I talked to Piper, Lydia, Nevaeh for 42 minutes during lunch hours.\"\n15194,2020/01/22,\"I talked to Hazel, Layla, Avery, Olivia for 55 minutes in the early afternoon.\",\"I talked to Hazel, Layla, Avery, Olivia for 55 minutes in the early afternoon.\"\n15195,2020/01/22,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n15196,2020/01/22,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n15197,2020/01/23,I did swimming on 2020/01/23.,I did swimming on 2020/01/23.\n15198,2020/01/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n15199,2020/01/23,I prepare tacos for dinner.,I prepare tacos for dinner.\n15200,2020/01/23,\"I spent 45 talking to Olivia, Lydia on various topics in the morning.\",\"I spent 45 talking to Olivia, Lydia on various topics in the morning.\"\n15201,2020/01/23,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n15202,2020/01/24,\"I went grocery shopping. I bought some pears, clementines, apricots, soda, pineapple juice, orange juice, and toothpaste, body lotion, paper towel, toothbrush\",\"I went grocery shopping. I bought some pears, clementines, apricots, soda, pineapple juice, orange juice, and toothpaste, body lotion, paper towel, toothbrush\"\n15203,2020/01/24,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n15204,2020/01/24,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n15205,2020/01/24,\"I talked to Nevaeh, Lydia for 29 minutes in the early evening.\",\"I talked to Nevaeh, Lydia for 29 minutes in the early evening.\"\n15206,2020/01/25,I really enjoyed learning a language on 2020/01/25,I really enjoyed learning a language on 2020/01/25\n15207,2020/01/25,I ate cereals for breakfast.,I ate cereals for breakfast.\n15208,2020/01/25,\"I talked to Nevaeh, Kinsley, Rylee for 28 minutes during lunch hours.\",\"I talked to Nevaeh, Kinsley, Rylee for 28 minutes during lunch hours.\"\n15209,2020/01/25,I spent 44 minutes watching a movie on TV today.,I spent 44 minutes watching a movie on TV today.\n15210,2020/01/26,I went on a date with Charles on 2020/01/26 at a restaurant,I went on a date with Charles on 2020/01/26 at a restaurant\n15211,2020/01/26,I did HIIT on 2020/01/26.,I did HIIT on 2020/01/26.\n15212,2020/01/26,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n15213,2020/01/26,\"I talked to Hazel, Nevaeh, Piper for 33 minutes in the late afternoon.\",\"I talked to Hazel, Nevaeh, Piper for 33 minutes in the late afternoon.\"\n15214,2020/01/26,\"I talked to Piper, Kinsley, Layla, Claire for 42 minutes in the early evening.\",\"I talked to Piper, Kinsley, Layla, Claire for 42 minutes in the early evening.\"\n15215,2020/01/26,I watched a tv series for 52 minutes on TV today.,I watched a tv series for 52 minutes on TV today.\n15216,2020/01/27,I did HIIT on 2020/01/27.,I did HIIT on 2020/01/27.\n15217,2020/01/27,I prepare tacos for dinner.,I prepare tacos for dinner.\n15218,2020/01/27,\"I spent 55 talking to Piper, Rylee, Olivia on various topics late in the evening.\",\"I spent 55 talking to Piper, Rylee, Olivia on various topics late in the evening.\"\n15219,2020/01/27,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n15220,2020/01/28,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n15221,2020/01/28,I prepare steak for dinner.,I prepare steak for dinner.\n15222,2020/01/28,I spent 38 minutes watching news on TV today.,I spent 38 minutes watching news on TV today.\n15223,2020/01/29,\"I had steak for dinner with Kayden, Carter, Andrew, Emily\",\"I had steak for dinner with Kayden, Carter, Andrew, Emily\"\n15224,2020/01/29,I spent 52 talking to Nora on various topics in the late afternoon.,I spent 52 talking to Nora on various topics in the late afternoon.\n15225,2020/01/30,\"I went grocery shopping with Eva, Layla, Kinsley, Piper, Lydia, Piper. I bought some apricots, strawberries, pears, blueberries, apple juice, soda, coffee, sports drinks, and conditioner\",\"I went grocery shopping with Eva, Layla, Kinsley, Piper, Lydia, Piper. I bought some apricots, strawberries, pears, blueberries, apple juice, soda, coffee, sports drinks, and conditioner\"\n15226,2020/01/30,I did biking on 2020/01/30.,I did biking on 2020/01/30.\n15227,2020/01/30,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n15228,2020/01/30,\"I talked to Lydia, Nora, Piper, Kinsley for 44 minutes in the early afternoon.\",\"I talked to Lydia, Nora, Piper, Kinsley for 44 minutes in the early afternoon.\"\n15229,2020/01/30,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n15230,2020/01/30,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n15231,2020/01/31,I really enjoyed meditation on 2020/01/31,I really enjoyed meditation on 2020/01/31\n15232,2020/01/31,I did swimming on 2020/01/31.,I did swimming on 2020/01/31.\n15233,2020/01/31,I prepare sushi for lunch.,I prepare sushi for lunch.\n15234,2020/01/31,\"I spent 28 talking to Hazel, Piper, Lydia on various topics in the late afternoon.\",\"I spent 28 talking to Hazel, Piper, Lydia on various topics in the late afternoon.\"\n15235,2020/01/31,\"I talked to Piper, Layla, Eva, Nora for 37 minutes in the morning.\",\"I talked to Piper, Layla, Eva, Nora for 37 minutes in the morning.\"\n15236,2020/01/31,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n15237,2020/02/01,\"I went grocery shopping. I bought some blueberries, mangos, mineral water, chocolate milk, mango juice, and body lotion\",\"I went grocery shopping. I bought some blueberries, mangos, mineral water, chocolate milk, mango juice, and body lotion\"\n15238,2020/02/01,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n15239,2020/02/01,\"I talked to Layla, Nevaeh, Nora, Piper for 41 minutes in the late afternoon.\",\"I talked to Layla, Nevaeh, Nora, Piper for 41 minutes in the late afternoon.\"\n15240,2020/02/02,I had toast and cheese for breakfast with Kayden,I had toast and cheese for breakfast with Kayden\n15241,2020/02/02,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n15242,2020/02/02,I watched news for 11 minutes on TV today.,I watched news for 11 minutes on TV today.\n15243,2020/02/03,I did swimming on 2020/02/03.,I did swimming on 2020/02/03.\n15244,2020/02/03,\"I had breakfast with Olivia, Piper. I ate pancakes.\",\"I had breakfast with Olivia, Piper. I ate pancakes.\"\n15245,2020/02/03,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n15246,2020/02/03,\"I spent 16 talking to Claire, Avery, Lydia, Eva on various topics late in the evening.\",\"I spent 16 talking to Claire, Avery, Lydia, Eva on various topics late in the evening.\"\n15247,2020/02/03,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n15248,2020/02/04,\"I had breakfast with Emily, Kayden, Andrew. I ate oatmeal.\",\"I had breakfast with Emily, Kayden, Andrew. I ate oatmeal.\"\n15249,2020/02/04,\"I spent 30 talking to Claire, Kinsley, Olivia on various topics in the late afternoon.\",\"I spent 30 talking to Claire, Kinsley, Olivia on various topics in the late afternoon.\"\n15250,2020/02/04,I watched a documentary for 9 minutes on TV today.,I watched a documentary for 9 minutes on TV today.\n15251,2020/02/05,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n15252,2020/02/05,I ate steak for lunch.,I ate steak for lunch.\n15253,2020/02/05,I prepare tacos for dinner.,I prepare tacos for dinner.\n15254,2020/02/05,\"I spent 26 talking to Hazel, Avery on various topics late in the evening.\",\"I spent 26 talking to Hazel, Avery on various topics late in the evening.\"\n15255,2020/02/05,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n15256,2020/02/05,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n15257,2020/02/06,\"I bought some blackberries, apricots, blueberries, soda, mineral water, toilet paper, body lotion online.\",\"I bought some blackberries, apricots, blueberries, soda, mineral water, toilet paper, body lotion online.\"\n15258,2020/02/06,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n15259,2020/02/06,\"I spent 35 talking to Piper, Lydia, Avery, Nora on various topics in the early afternoon.\",\"I spent 35 talking to Piper, Lydia, Avery, Nora on various topics in the early afternoon.\"\n15260,2020/02/07,\"I visited New Delhi, India for 6 days with Carter, Andrew, Emily starting on 2020/02/07\",\"I visited New Delhi, India for 6 days with Carter, Andrew, Emily starting on 2020/02/07\"\n15261,2020/02/07,\"On 2020/02/07, I took Everett on a date to a coffee Shop\",\"On 2020/02/07, I took Everett on a date to a coffee Shop\"\n15262,2020/02/07,\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\",\"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\"\n15263,2020/02/07,I spent 20 talking to Layla on various topics late in the evening.,I spent 20 talking to Layla on various topics late in the evening.\n15264,2020/02/08,\"During my trip to New Delhi, India, I visited Gurudwara Bangla Sahib on 2020/02 with Carter, Andrew, Emily.\",\"During my trip to New Delhi, India, I visited Gurudwara Bangla Sahib on 2020/02 with Carter, Andrew, Emily.\"\n15265,2020/02/08,\"I ate Indian food at Connaught Place with Carter, Andrew, Emily on  2020/02/08 when I was in New Delhi, India.\",\"I ate Indian food at Connaught Place with Carter, Andrew, Emily on  2020/02/08 when I was in New Delhi, India.\"\n15266,2020/02/08,\"I went grocery shopping with Emily. I bought some pineapples, apples, soda, sports drinks, mineral water, and paper towel, toothpaste\",\"I went grocery shopping with Emily. I bought some pineapples, apples, soda, sports drinks, mineral water, and paper towel, toothpaste\"\n15267,2020/02/08,I had lunch with Emily. I ate steak.,I had lunch with Emily. I ate steak.\n15268,2020/02/08,I spent 41 minutes on social media today.,I spent 41 minutes on social media today.\n15269,2020/02/08,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n15270,2020/02/09,\"During my trip to New Delhi, India, I visited The Lotus Temple on 2020/02 with Carter, Andrew, Emily.\",\"During my trip to New Delhi, India, I visited The Lotus Temple on 2020/02 with Carter, Andrew, Emily.\"\n15271,2020/02/09,\"I ate local food at Moolchand with Carter, Andrew, Emily on  2020/02/09 when I was in New Delhi, India.\",\"I ate local food at Moolchand with Carter, Andrew, Emily on  2020/02/09 when I was in New Delhi, India.\"\n15272,2020/02/09,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n15273,2020/02/09,\"I had lunch with Emily, Andrew, Carter. I ate steak.\",\"I had lunch with Emily, Andrew, Carter. I ate steak.\"\n15274,2020/02/09,\"I had dinner with Carter, Emily. I ate a burger.\",\"I had dinner with Carter, Emily. I ate a burger.\"\n15275,2020/02/09,\"I talked to Piper, Rylee for 39 minutes late in the evening.\",\"I talked to Piper, Rylee for 39 minutes late in the evening.\"\n15276,2020/02/09,I spent 55 talking to Piper on various topics in the early afternoon.,I spent 55 talking to Piper on various topics in the early afternoon.\n15277,2020/02/10,\"During my trip to New Delhi, India, I visited The Red Fort on 2020/02 with Carter, Andrew, Emily.\",\"During my trip to New Delhi, India, I visited The Red Fort on 2020/02 with Carter, Andrew, Emily.\"\n15278,2020/02/10,I ate indian food for lunch.,I ate indian food for lunch.\n15279,2020/02/10,I ate indian food for dinner.,I ate indian food for dinner.\n15280,2020/02/10,\"I talked to Olivia, Eva for 6 minutes in the morning.\",\"I talked to Olivia, Eva for 6 minutes in the morning.\"\n15281,2020/02/10,I talked to Lydia for 21 minutes in the late afternoon.,I talked to Lydia for 21 minutes in the late afternoon.\n15282,2020/02/10,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n15283,2020/02/11,\"During my trip to New Delhi, India, I visited Qutub Minar on 2020/02 with Carter, Andrew, Emily.\",\"During my trip to New Delhi, India, I visited Qutub Minar on 2020/02 with Carter, Andrew, Emily.\"\n15284,2020/02/11,\"I ate Italian food at Chawri Bazar with Carter, Andrew, Emily on  2020/02/11 when I was in New Delhi, India.\",\"I ate Italian food at Chawri Bazar with Carter, Andrew, Emily on  2020/02/11 when I was in New Delhi, India.\"\n15285,2020/02/11,I ate sandwich for dinner.,I ate sandwich for dinner.\n15286,2020/02/11,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n15287,2020/02/12,\"During my trip to New Delhi, India, I visited Lodi Gardens on 2020/02 with Carter, Andrew, Emily.\",\"During my trip to New Delhi, India, I visited Lodi Gardens on 2020/02 with Carter, Andrew, Emily.\"\n15288,2020/02/12,\"I ate street food at Chawri Bazar with Carter, Andrew, Emily on  2020/02/12 when I was in New Delhi, India.\",\"I ate street food at Chawri Bazar with Carter, Andrew, Emily on  2020/02/12 when I was in New Delhi, India.\"\n15289,2020/02/12,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n15290,2020/02/12,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n15291,2020/02/12,I prepare sushi for dinner.,I prepare sushi for dinner.\n15292,2020/02/12,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n15293,2020/02/13,\"I bought some watermelons, guava, bananas, apricots, coffee, orange juice, soda, toothbrush, conditioner, toilet paper from the grocery store. I saw Olivia, Lydia, Eva, Rylee, Avery, Piper, Kinsley, Nevaeh, Nora, Piper, Claire at the grocery store.\",\"I bought some watermelons, guava, bananas, apricots, coffee, orange juice, soda, toothbrush, conditioner, toilet paper from the grocery store. I saw Olivia, Lydia, Eva, Rylee, Avery, Piper, Kinsley, Nevaeh, Nora, Piper, Claire at the grocery store.\"\n15294,2020/02/13,I did hiking on 2020/02/13.,I did hiking on 2020/02/13.\n15295,2020/02/13,I had dinner with Kayden. I ate indian food.,I had dinner with Kayden. I ate indian food.\n15296,2020/02/13,\"I spent 6 talking to Nora, Piper on various topics during lunch hours.\",\"I spent 6 talking to Nora, Piper on various topics during lunch hours.\"\n15297,2020/02/13,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n15298,2020/02/14,I did weight lifting on 2020/02/14.,I did weight lifting on 2020/02/14.\n15299,2020/02/14,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n15300,2020/02/14,I had lunch with Olivia. I ate tacos.,I had lunch with Olivia. I ate tacos.\n15301,2020/02/14,I spent 27 minutes reading news today.,I spent 27 minutes reading news today.\n15302,2020/02/14,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n15303,2020/02/15,\"I bought some clementines, mangos, pineapple juice, milk, mineral water, chocolate milk, conditioner, toothpaste, toilet paper, paper towel from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\",\"I bought some clementines, mangos, pineapple juice, milk, mineral water, chocolate milk, conditioner, toothpaste, toilet paper, paper towel from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\"\n15304,2020/02/15,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n15305,2020/02/15,I spent 39 minutes watching a movie on TV today.,I spent 39 minutes watching a movie on TV today.\n15306,2020/02/16,I did weight lifting on 2020/02/16.,I did weight lifting on 2020/02/16.\n15307,2020/02/16,I had chinese food for dinner with Layla,I had chinese food for dinner with Layla\n15308,2020/02/17,\"I had toast and cheese for breakfast with Willow, Avery, Jackson, Benjamin\",\"I had toast and cheese for breakfast with Willow, Avery, Jackson, Benjamin\"\n15309,2020/02/17,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n15310,2020/02/17,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n15311,2020/02/18,\"I had breakfast with Hazel, Piper, Layla, Lydia, Nora, Avery, Piper, Claire, Eva, Kinsley, Nevaeh, Olivia. I ate pancakes.\",\"I had breakfast with Hazel, Piper, Layla, Lydia, Nora, Avery, Piper, Claire, Eva, Kinsley, Nevaeh, Olivia. I ate pancakes.\"\n15312,2020/02/18,\"I had lunch with Emily, Andrew, Carter, Kayden. I ate indian food.\",\"I had lunch with Emily, Andrew, Carter, Kayden. I ate indian food.\"\n15313,2020/02/18,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n15314,2020/02/18,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n15315,2020/02/19,I prepare pasta for dinner.,I prepare pasta for dinner.\n15316,2020/02/19,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n15317,2020/02/20,I did biking on 2020/02/20.,I did biking on 2020/02/20.\n15318,2020/02/20,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n15319,2020/02/20,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n15320,2020/02/20,I spent 40 talking to Layla on various topics in the early afternoon.,I spent 40 talking to Layla on various topics in the early afternoon.\n15321,2020/02/20,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n15322,2020/02/21,I did running on 2020/02/21.,I did running on 2020/02/21.\n15323,2020/02/21,\"I spent 7 talking to Avery, Piper on various topics in the early afternoon.\",\"I spent 7 talking to Avery, Piper on various topics in the early afternoon.\"\n15324,2020/02/21,\"I spent 13 talking to Avery, Nora, Olivia, Layla on various topics during lunch hours.\",\"I spent 13 talking to Avery, Nora, Olivia, Layla on various topics during lunch hours.\"\n15325,2020/02/22,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n15326,2020/02/22,\"I had lunch with Avery, Benjamin, Jackson. I ate tacos.\",\"I had lunch with Avery, Benjamin, Jackson. I ate tacos.\"\n15327,2020/02/22,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n15328,2020/02/23,\"On 2020/02/23, I took Anna on a date to a coffee Shop\",\"On 2020/02/23, I took Anna on a date to a coffee Shop\"\n15329,2020/02/23,I did swimming on 2020/02/23.,I did swimming on 2020/02/23.\n15330,2020/02/23,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n15331,2020/02/23,\"I talked to Lydia, Eva for 44 minutes in the early evening.\",\"I talked to Lydia, Eva for 44 minutes in the early evening.\"\n15332,2020/02/24,I did weight lifting on 2020/02/24.,I did weight lifting on 2020/02/24.\n15333,2020/02/24,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n15334,2020/02/24,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n15335,2020/02/24,\"I spent 38 talking to Olivia, Claire on various topics during lunch hours.\",\"I spent 38 talking to Olivia, Claire on various topics during lunch hours.\"\n15336,2020/02/24,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n15337,2020/02/24,I watched a tv series for 29 minutes on TV today.,I watched a tv series for 29 minutes on TV today.\n15338,2020/02/25,\"I spent time yoga on 2020/02/25 with Claire, Kinsley.\",\"I spent time yoga on 2020/02/25 with Claire, Kinsley.\"\n15339,2020/02/25,I did HIIT on 2020/02/25.,I did HIIT on 2020/02/25.\n15340,2020/02/25,I ate indian food for lunch.,I ate indian food for lunch.\n15341,2020/02/25,\"I spent 39 talking to Piper, Piper, Layla on various topics late in the evening.\",\"I spent 39 talking to Piper, Piper, Layla on various topics late in the evening.\"\n15342,2020/02/25,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n15343,2020/02/25,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n15344,2020/02/26,\"I spent time learning a language on 2020/02/26 with Carter, Kayden, Andrew.\",\"I spent time learning a language on 2020/02/26 with Carter, Kayden, Andrew.\"\n15345,2020/02/26,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n15346,2020/02/26,I prepare pasta for lunch.,I prepare pasta for lunch.\n15347,2020/02/26,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n15348,2020/02/26,I spent 47 minutes reading social media today.,I spent 47 minutes reading social media today.\n15349,2020/02/26,I spent 34 minutes watching a documentary on TV today.,I spent 34 minutes watching a documentary on TV today.\n15350,2020/02/27,I did hiking on 2020/02/27.,I did hiking on 2020/02/27.\n15351,2020/02/27,I ate sushi for dinner.,I ate sushi for dinner.\n15352,2020/02/28,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n15353,2020/02/28,\"I had steak for lunch with Emily, Carter, Andrew\",\"I had steak for lunch with Emily, Carter, Andrew\"\n15354,2020/02/28,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n15355,2020/02/28,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n15356,2020/02/29,\"I bought some blueberries, apricots, mandarins, watermelons, mango juice, toilet paper, shaving cream, mouthwash from the grocery store. I saw Piper, Nevaeh at the grocery store.\",\"I bought some blueberries, apricots, mandarins, watermelons, mango juice, toilet paper, shaving cream, mouthwash from the grocery store. I saw Piper, Nevaeh at the grocery store.\"\n15357,2020/02/29,I did hiking on 2020/02/29.,I did hiking on 2020/02/29.\n15358,2020/02/29,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n15359,2020/02/29,I had indian food for dinner with Andrew,I had indian food for dinner with Andrew\n15360,2020/02/29,I spent 6 minutes reading a book today.,I spent 6 minutes reading a book today.\n15361,2020/02/29,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n15362,2020/03/01,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n15363,2020/03/01,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n15364,2020/03/02,I did swimming on 2020/03/02.,I did swimming on 2020/03/02.\n15365,2020/03/02,I had breakfast with Carter. I ate pancakes.,I had breakfast with Carter. I ate pancakes.\n15366,2020/03/02,\"I had tacos for lunch with Emily, Carter, Andrew\",\"I had tacos for lunch with Emily, Carter, Andrew\"\n15367,2020/03/02,\"I had chinese food for dinner with Kayden, Carter, Emily, Andrew\",\"I had chinese food for dinner with Kayden, Carter, Emily, Andrew\"\n15368,2020/03/02,I talked to Claire for 21 minutes late in the evening.,I talked to Claire for 21 minutes late in the evening.\n15369,2020/03/02,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n15370,2020/03/02,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n15371,2020/03/03,I took Kayden for his/her  for an annual dental cleaning and checkup on 2020/03/03 at the university hospital.,I took Kayden for his/her  for an annual dental cleaning and checkup on 2020/03/03 at the university hospital.\n15372,2020/03/03,I went on a date with Leo on 2020/03/03 at a boba shop,I went on a date with Leo on 2020/03/03 at a boba shop\n15373,2020/03/03,\"I had breakfast with Kayden, Andrew. I ate pancakes.\",\"I had breakfast with Kayden, Andrew. I ate pancakes.\"\n15374,2020/03/03,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n15375,2020/03/03,\"I talked to Piper, Avery, Nora, Lydia for 8 minutes in the morning.\",\"I talked to Piper, Avery, Nora, Lydia for 8 minutes in the morning.\"\n15376,2020/03/04,I did HIIT on 2020/03/04.,I did HIIT on 2020/03/04.\n15377,2020/03/04,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n15378,2020/03/04,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n15379,2020/03/04,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n15380,2020/03/05,\"I went grocery shopping. I bought some clementines, mangos, raspberries, pineapple juice, and toilet paper, shaving cream, conditioner\",\"I went grocery shopping. I bought some clementines, mangos, raspberries, pineapple juice, and toilet paper, shaving cream, conditioner\"\n15381,2020/03/05,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n15382,2020/03/05,I prepare sushi for dinner.,I prepare sushi for dinner.\n15383,2020/03/05,\"I talked to Claire, Eva for 36 minutes late in the evening.\",\"I talked to Claire, Eva for 36 minutes late in the evening.\"\n15384,2020/03/05,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n15385,2020/03/05,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n15386,2020/03/06,I did weight lifting on 2020/03/06.,I did weight lifting on 2020/03/06.\n15387,2020/03/06,\"I talked to Claire, Layla, Avery for 33 minutes in the early afternoon.\",\"I talked to Claire, Layla, Avery for 33 minutes in the early afternoon.\"\n15388,2020/03/06,\"I spent 29 talking to Lydia, Piper on various topics late in the evening.\",\"I spent 29 talking to Lydia, Piper on various topics late in the evening.\"\n15389,2020/03/06,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n15390,2020/03/07,\"I went grocery shopping. I bought some watermelons, pineapples, apricots, apple juice, and body lotion, toothpaste\",\"I went grocery shopping. I bought some watermelons, pineapples, apricots, apple juice, and body lotion, toothpaste\"\n15391,2020/03/07,\"I had peanut-butter-jam for breakfast with Rylee, Kinsley, Nora, Eva, Piper, Avery, Lydia, Piper, Nevaeh, Claire\",\"I had peanut-butter-jam for breakfast with Rylee, Kinsley, Nora, Eva, Piper, Avery, Lydia, Piper, Nevaeh, Claire\"\n15392,2020/03/07,\"I had lunch with Kayden, Andrew. I ate steak.\",\"I had lunch with Kayden, Andrew. I ate steak.\"\n15393,2020/03/07,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n15394,2020/03/07,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n15395,2020/03/08,I did HIIT on 2020/03/08.,I did HIIT on 2020/03/08.\n15396,2020/03/08,I ate cereals for breakfast.,I ate cereals for breakfast.\n15397,2020/03/08,\"I had fish and chips for lunch with Avery, Willow\",\"I had fish and chips for lunch with Avery, Willow\"\n15398,2020/03/08,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n15399,2020/03/09,I prepare tacos for lunch.,I prepare tacos for lunch.\n15400,2020/03/09,I had steak for dinner with Kayden,I had steak for dinner with Kayden\n15401,2020/03/09,\"I spent 19 talking to Hazel, Claire on various topics during lunch hours.\",\"I spent 19 talking to Hazel, Claire on various topics during lunch hours.\"\n15402,2020/03/09,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n15403,2020/03/10,\"I had a burger for dinner with Lydia, Hazel, Claire, Kinsley, Piper, Rylee\",\"I had a burger for dinner with Lydia, Hazel, Claire, Kinsley, Piper, Rylee\"\n15404,2020/03/10,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n15405,2020/03/11,I did biking on 2020/03/11.,I did biking on 2020/03/11.\n15406,2020/03/11,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n15407,2020/03/11,\"I had pasta for lunch with Avery, Willow\",\"I had pasta for lunch with Avery, Willow\"\n15408,2020/03/11,\"I spent 20 talking to Kinsley, Nevaeh, Piper, Piper on various topics in the morning.\",\"I spent 20 talking to Kinsley, Nevaeh, Piper, Piper on various topics in the morning.\"\n15409,2020/03/11,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n15410,2020/03/12,\"I had lunch with Avery, Willow, Jackson, Benjamin. I ate chinese food.\",\"I had lunch with Avery, Willow, Jackson, Benjamin. I ate chinese food.\"\n15411,2020/03/12,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n15412,2020/03/12,I spent 29 minutes watching news on TV today.,I spent 29 minutes watching news on TV today.\n15413,2020/03/13,\"I spent 8 talking to Nora, Layla, Olivia, Piper on various topics in the late afternoon.\",\"I spent 8 talking to Nora, Layla, Olivia, Piper on various topics in the late afternoon.\"\n15414,2020/03/14,\"On 2020/03/14, I took Axel on a date to a park\",\"On 2020/03/14, I took Axel on a date to a park\"\n15415,2020/03/14,\"I bought some peaches, blueberries, chocolate milk, paper towel, facial wash, toilet paper from the grocery store. I saw Kinsley, Eva, Lydia, Layla, Nevaeh, Claire at the grocery store.\",\"I bought some peaches, blueberries, chocolate milk, paper towel, facial wash, toilet paper from the grocery store. I saw Kinsley, Eva, Lydia, Layla, Nevaeh, Claire at the grocery store.\"\n15416,2020/03/14,I ate pasta for lunch.,I ate pasta for lunch.\n15417,2020/03/14,I prepare indian food for dinner.,I prepare indian food for dinner.\n15418,2020/03/14,\"I talked to Eva, Claire, Layla for 25 minutes during lunch hours.\",\"I talked to Eva, Claire, Layla for 25 minutes during lunch hours.\"\n15419,2020/03/14,I talked to Layla for 7 minutes in the early evening.,I talked to Layla for 7 minutes in the early evening.\n15420,2020/03/14,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n15421,2020/03/15,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n15422,2020/03/15,\"I had lunch with Nora, Eva, Piper, Lydia, Claire, Layla, Olivia, Hazel. I ate fish and chips.\",\"I had lunch with Nora, Eva, Piper, Lydia, Claire, Layla, Olivia, Hazel. I ate fish and chips.\"\n15423,2020/03/15,\"I had a burger for dinner with Nevaeh, Nora, Layla, Lydia, Piper, Piper, Kinsley, Avery, Hazel, Olivia\",\"I had a burger for dinner with Nevaeh, Nora, Layla, Lydia, Piper, Piper, Kinsley, Avery, Hazel, Olivia\"\n15424,2020/03/16,\"I had dinner with Andrew, Kayden, Carter. I ate chinese food.\",\"I had dinner with Andrew, Kayden, Carter. I ate chinese food.\"\n15425,2020/03/16,\"I spent 27 talking to Nora, Piper, Olivia on various topics in the early afternoon.\",\"I spent 27 talking to Nora, Piper, Olivia on various topics in the early afternoon.\"\n15426,2020/03/16,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n15427,2020/03/16,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n15428,2020/03/17,I did biking on 2020/03/17.,I did biking on 2020/03/17.\n15429,2020/03/17,\"I had fish and chips for lunch with Avery, Willow, Jackson, Benjamin\",\"I had fish and chips for lunch with Avery, Willow, Jackson, Benjamin\"\n15430,2020/03/17,I ate sushi for dinner.,I ate sushi for dinner.\n15431,2020/03/17,\"I spent 48 talking to Layla, Nora, Piper, Claire on various topics in the late afternoon.\",\"I spent 48 talking to Layla, Nora, Piper, Claire on various topics in the late afternoon.\"\n15432,2020/03/17,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n15433,2020/03/17,I watched news for 28 minutes on TV today.,I watched news for 28 minutes on TV today.\n15434,2020/03/18,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n15435,2020/03/18,\"I had steak for dinner with Rylee, Olivia, Piper, Layla, Kinsley, Eva, Nevaeh, Claire, Piper, Avery, Hazel, Lydia, Nora\",\"I had steak for dinner with Rylee, Olivia, Piper, Layla, Kinsley, Eva, Nevaeh, Claire, Piper, Avery, Hazel, Lydia, Nora\"\n15436,2020/03/18,\"I talked to Layla, Piper, Claire for 46 minutes in the late afternoon.\",\"I talked to Layla, Piper, Claire for 46 minutes in the late afternoon.\"\n15437,2020/03/18,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n15438,2020/03/18,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n15439,2020/03/19,I did HIIT on 2020/03/19.,I did HIIT on 2020/03/19.\n15440,2020/03/19,\"I had cereals for breakfast with Andrew, Kayden, Carter, Emily\",\"I had cereals for breakfast with Andrew, Kayden, Carter, Emily\"\n15441,2020/03/19,\"I had lunch with Nora, Kinsley, Claire, Layla. I ate indian food.\",\"I had lunch with Nora, Kinsley, Claire, Layla. I ate indian food.\"\n15442,2020/03/19,\"I had dinner with Rylee, Eva, Nevaeh, Claire, Nora, Piper, Layla, Hazel. I ate a burger.\",\"I had dinner with Rylee, Eva, Nevaeh, Claire, Nora, Piper, Layla, Hazel. I ate a burger.\"\n15443,2020/03/19,\"I spent 47 talking to Piper, Eva, Avery on various topics in the late afternoon.\",\"I spent 47 talking to Piper, Eva, Avery on various topics in the late afternoon.\"\n15444,2020/03/19,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n15445,2020/03/20,I did biking on 2020/03/20.,I did biking on 2020/03/20.\n15446,2020/03/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n15447,2020/03/20,I prepare indian food for lunch.,I prepare indian food for lunch.\n15448,2020/03/20,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n15449,2020/03/20,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n15450,2020/03/21,I did swimming on 2020/03/21.,I did swimming on 2020/03/21.\n15451,2020/03/21,I prepare tacos for lunch.,I prepare tacos for lunch.\n15452,2020/03/21,\"I spent 32 talking to Piper, Eva, Lydia on various topics in the morning.\",\"I spent 32 talking to Piper, Eva, Lydia on various topics in the morning.\"\n15453,2020/03/21,\"I spent 25 talking to Layla, Rylee, Piper on various topics in the early evening.\",\"I spent 25 talking to Layla, Rylee, Piper on various topics in the early evening.\"\n15454,2020/03/21,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n15455,2020/03/21,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n15456,2020/03/22,\"I really enjoyed cooking ground turkey vegetable soup on 2020/03/22 with Carter, Kayden at my place\",\"I really enjoyed cooking ground turkey vegetable soup on 2020/03/22 with Carter, Kayden at my place\"\n15457,2020/03/22,I did HIIT on 2020/03/22.,I did HIIT on 2020/03/22.\n15458,2020/03/22,I had cereals for breakfast with Willow,I had cereals for breakfast with Willow\n15459,2020/03/22,I had tacos for lunch with Andrew,I had tacos for lunch with Andrew\n15460,2020/03/22,\"I talked to Nevaeh, Eva for 9 minutes during lunch hours.\",\"I talked to Nevaeh, Eva for 9 minutes during lunch hours.\"\n15461,2020/03/22,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n15462,2020/03/23,\"I talked to Lydia, Hazel for 8 minutes in the morning.\",\"I talked to Lydia, Hazel for 8 minutes in the morning.\"\n15463,2020/03/24,\"I bought some apples, pineapples, mineral water, body lotion, mouth wash, shaving cream, mouthwash from the grocery store. I saw Avery, Willow, Benjamin, Jackson at the grocery store.\",\"I bought some apples, pineapples, mineral water, body lotion, mouth wash, shaving cream, mouthwash from the grocery store. I saw Avery, Willow, Benjamin, Jackson at the grocery store.\"\n15464,2020/03/24,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n15465,2020/03/24,\"I talked to Nevaeh, Olivia for 28 minutes in the early evening.\",\"I talked to Nevaeh, Olivia for 28 minutes in the early evening.\"\n15466,2020/03/24,I talked to Olivia for 7 minutes in the early afternoon.,I talked to Olivia for 7 minutes in the early afternoon.\n15467,2020/03/24,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n15468,2020/03/25,I spent some time learning a language on 2020/03/25.,I spent some time learning a language on 2020/03/25.\n15469,2020/03/25,I did weight lifting on 2020/03/25.,I did weight lifting on 2020/03/25.\n15470,2020/03/25,\"I had breakfast with Andrew, Kayden, Emily, Carter. I ate oatmeal.\",\"I had breakfast with Andrew, Kayden, Emily, Carter. I ate oatmeal.\"\n15471,2020/03/25,\"I had lunch with Andrew, Kayden, Carter, Emily. I ate pasta.\",\"I had lunch with Andrew, Kayden, Carter, Emily. I ate pasta.\"\n15472,2020/03/25,I talked to Nora for 5 minutes in the late afternoon.,I talked to Nora for 5 minutes in the late afternoon.\n15473,2020/03/25,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n15474,2020/03/26,I did hiking on 2020/03/26.,I did hiking on 2020/03/26.\n15475,2020/03/26,\"I had lunch with Emily, Kayden, Carter, Andrew. I ate pasta.\",\"I had lunch with Emily, Kayden, Carter, Andrew. I ate pasta.\"\n15476,2020/03/26,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n15477,2020/03/26,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n15478,2020/03/26,I spent 30 minutes watching a documentary on TV today.,I spent 30 minutes watching a documentary on TV today.\n15479,2020/03/27,\"I bought some guava, raspberries, bananas, mango juice, apple juice, toothbrush, body lotion online.\",\"I bought some guava, raspberries, bananas, mango juice, apple juice, toothbrush, body lotion online.\"\n15480,2020/03/27,\"I had toast and cheese for breakfast with Kayden, Andrew\",\"I had toast and cheese for breakfast with Kayden, Andrew\"\n15481,2020/03/27,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n15482,2020/03/27,\"I talked to Nora, Claire, Avery for 18 minutes in the late afternoon.\",\"I talked to Nora, Claire, Avery for 18 minutes in the late afternoon.\"\n15483,2020/03/27,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n15484,2020/03/27,I watched news for 12 minutes on TV today.,I watched news for 12 minutes on TV today.\n15485,2020/03/28,I did hiking on 2020/03/28.,I did hiking on 2020/03/28.\n15486,2020/03/28,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n15487,2020/03/29,\"I had lunch with Kayden, Andrew, Carter, Emily. I ate pasta.\",\"I had lunch with Kayden, Andrew, Carter, Emily. I ate pasta.\"\n15488,2020/03/29,I had pasta for dinner with Andrew,I had pasta for dinner with Andrew\n15489,2020/03/29,\"I spent 11 talking to Eva, Piper, Piper, Avery on various topics in the early evening.\",\"I spent 11 talking to Eva, Piper, Piper, Avery on various topics in the early evening.\"\n15490,2020/03/29,I spent 55 minutes on news today.,I spent 55 minutes on news today.\n15491,2020/03/29,I watched a documentary for 52 minutes on TV today.,I watched a documentary for 52 minutes on TV today.\n15492,2020/03/30,\"I had a burger for lunch with Kayden, Andrew, Carter\",\"I had a burger for lunch with Kayden, Andrew, Carter\"\n15493,2020/03/30,I ate pasta for dinner.,I ate pasta for dinner.\n15494,2020/03/30,\"I spent 26 talking to Piper, Hazel on various topics in the early evening.\",\"I spent 26 talking to Piper, Hazel on various topics in the early evening.\"\n15495,2020/03/30,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n15496,2020/03/31,I ate sandwich for lunch.,I ate sandwich for lunch.\n15497,2020/03/31,\"I had a burger for dinner with Eva, Claire, Olivia, Lydia, Piper, Layla, Rylee\",\"I had a burger for dinner with Eva, Claire, Olivia, Lydia, Piper, Layla, Rylee\"\n15498,2020/04/01,\"I went grocery shopping. I bought some pears, nectarines, guava juice, and facial wash, toilet paper, shaving cream\",\"I went grocery shopping. I bought some pears, nectarines, guava juice, and facial wash, toilet paper, shaving cream\"\n15499,2020/04/01,I ate cereals for breakfast.,I ate cereals for breakfast.\n15500,2020/04/01,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n15501,2020/04/01,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n15502,2020/04/01,I spent 11 minutes watching a tv series on TV today.,I spent 11 minutes watching a tv series on TV today.\n15503,2020/04/02,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n15504,2020/04/02,\"I talked to Kinsley, Avery, Piper, Layla for 26 minutes in the late afternoon.\",\"I talked to Kinsley, Avery, Piper, Layla for 26 minutes in the late afternoon.\"\n15505,2020/04/02,I spent 35 minutes watching a movie on TV today.,I spent 35 minutes watching a movie on TV today.\n15506,2020/04/03,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n15507,2020/04/03,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n15508,2020/04/03,\"I had dinner with Kinsley, Layla, Rylee, Avery, Lydia, Nora, Hazel, Claire, Piper. I ate sushi.\",\"I had dinner with Kinsley, Layla, Rylee, Avery, Lydia, Nora, Hazel, Claire, Piper. I ate sushi.\"\n15509,2020/04/03,I spent 54 minutes on news today.,I spent 54 minutes on news today.\n15510,2020/04/03,I spent 34 minutes watching a tv series on TV today.,I spent 34 minutes watching a tv series on TV today.\n15511,2020/04/04,I did weight lifting on 2020/04/04.,I did weight lifting on 2020/04/04.\n15512,2020/04/04,\"I had breakfast with Carter, Kayden. I ate cereals.\",\"I had breakfast with Carter, Kayden. I ate cereals.\"\n15513,2020/04/04,I prepare tacos for lunch.,I prepare tacos for lunch.\n15514,2020/04/04,I prepare steak for dinner.,I prepare steak for dinner.\n15515,2020/04/04,\"I talked to Kinsley, Olivia for 53 minutes in the early evening.\",\"I talked to Kinsley, Olivia for 53 minutes in the early evening.\"\n15516,2020/04/04,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n15517,2020/04/05,I went on a date with Hazel on 2020/04/05 at a park,I went on a date with Hazel on 2020/04/05 at a park\n15518,2020/04/05,I did running on 2020/04/05.,I did running on 2020/04/05.\n15519,2020/04/05,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n15520,2020/04/05,\"I talked to Eva, Layla, Piper, Hazel for 28 minutes in the late afternoon.\",\"I talked to Eva, Layla, Piper, Hazel for 28 minutes in the late afternoon.\"\n15521,2020/04/05,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n15522,2020/04/06,\"I went grocery shopping with Emily, Carter, Kayden, Andrew. I bought some cherres, apple juice, soda, coffee, and conditioner\",\"I went grocery shopping with Emily, Carter, Kayden, Andrew. I bought some cherres, apple juice, soda, coffee, and conditioner\"\n15523,2020/04/06,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n15524,2020/04/06,\"I had dinner with Andrew, Carter. I ate indian food.\",\"I had dinner with Andrew, Carter. I ate indian food.\"\n15525,2020/04/06,I talked to Claire for 9 minutes in the early evening.,I talked to Claire for 9 minutes in the early evening.\n15526,2020/04/07,I did hiking on 2020/04/07.,I did hiking on 2020/04/07.\n15527,2020/04/07,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n15528,2020/04/07,I prepare a burger for dinner.,I prepare a burger for dinner.\n15529,2020/04/07,\"I talked to Kinsley, Hazel, Avery, Lydia for 40 minutes in the early afternoon.\",\"I talked to Kinsley, Hazel, Avery, Lydia for 40 minutes in the early afternoon.\"\n15530,2020/04/08,\"I bought some mangos, pears, pineapples, tea, soda, orange juice, toothpaste, conditioner, mouth wash from the grocery store. I saw Kinsley, Hazel, Piper, Lydia, Eva, Olivia, Rylee at the grocery store.\",\"I bought some mangos, pears, pineapples, tea, soda, orange juice, toothpaste, conditioner, mouth wash from the grocery store. I saw Kinsley, Hazel, Piper, Lydia, Eva, Olivia, Rylee at the grocery store.\"\n15531,2020/04/08,I did biking on 2020/04/08.,I did biking on 2020/04/08.\n15532,2020/04/09,\"I had lunch with Kayden, Carter. I ate steak.\",\"I had lunch with Kayden, Carter. I ate steak.\"\n15533,2020/04/10,\"I talked to Avery, Claire for 31 minutes late in the evening.\",\"I talked to Avery, Claire for 31 minutes late in the evening.\"\n15534,2020/04/11,I did biking on 2020/04/11.,I did biking on 2020/04/11.\n15535,2020/04/11,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n15536,2020/04/11,\"I talked to Olivia, Nora, Claire for 46 minutes late in the evening.\",\"I talked to Olivia, Nora, Claire for 46 minutes late in the evening.\"\n15537,2020/04/11,\"I spent 24 talking to Claire, Kinsley on various topics in the late afternoon.\",\"I spent 24 talking to Claire, Kinsley on various topics in the late afternoon.\"\n15538,2020/04/11,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n15539,2020/04/11,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n15540,2020/04/12,I did hiking on 2020/04/12.,I did hiking on 2020/04/12.\n15541,2020/04/12,\"I had breakfast with Andrew, Emily. I ate oatmeal.\",\"I had breakfast with Andrew, Emily. I ate oatmeal.\"\n15542,2020/04/12,I ate tacos for lunch.,I ate tacos for lunch.\n15543,2020/04/12,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n15544,2020/04/12,I spent 8 talking to Lydia on various topics in the morning.,I spent 8 talking to Lydia on various topics in the morning.\n15545,2020/04/12,I spent 12 minutes on a book today.,I spent 12 minutes on a book today.\n15546,2020/04/13,\"I went grocery shopping with Piper, Piper, Layla, Nevaeh, Claire, Olivia, Nora, Avery, Hazel, Rylee, Eva, Kinsley, Lydia. I bought some apples, blueberries, watermelons, pineapple juice, chocolate milk, coffee, tea, and mouth wash, toothbrush, mouthwash\",\"I went grocery shopping with Piper, Piper, Layla, Nevaeh, Claire, Olivia, Nora, Avery, Hazel, Rylee, Eva, Kinsley, Lydia. I bought some apples, blueberries, watermelons, pineapple juice, chocolate milk, coffee, tea, and mouth wash, toothbrush, mouthwash\"\n15547,2020/04/13,I did hiking on 2020/04/13.,I did hiking on 2020/04/13.\n15548,2020/04/13,\"I talked to Piper, Layla for 15 minutes in the early evening.\",\"I talked to Piper, Layla for 15 minutes in the early evening.\"\n15549,2020/04/14,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n15550,2020/04/14,\"I had dinner with Kinsley, Lydia, Hazel, Nora, Piper, Claire, Piper, Olivia, Layla. I ate steak.\",\"I had dinner with Kinsley, Lydia, Hazel, Nora, Piper, Claire, Piper, Olivia, Layla. I ate steak.\"\n15551,2020/04/14,\"I spent 7 talking to Kinsley, Rylee on various topics late in the evening.\",\"I spent 7 talking to Kinsley, Rylee on various topics late in the evening.\"\n15552,2020/04/14,I spent 52 minutes on a book today.,I spent 52 minutes on a book today.\n15553,2020/04/15,I ate a burger for dinner.,I ate a burger for dinner.\n15554,2020/04/15,\"I spent 34 talking to Olivia, Kinsley, Layla, Piper on various topics in the early afternoon.\",\"I spent 34 talking to Olivia, Kinsley, Layla, Piper on various topics in the early afternoon.\"\n15555,2020/04/16,I did hiking on 2020/04/16.,I did hiking on 2020/04/16.\n15556,2020/04/16,I talked to Nora for 24 minutes during lunch hours.,I talked to Nora for 24 minutes during lunch hours.\n15557,2020/04/16,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n15558,2020/04/16,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n15559,2020/04/17,\"On 2020/04/17, I took Owen on a date to a park\",\"On 2020/04/17, I took Owen on a date to a park\"\n15560,2020/04/17,\"I went grocery shopping. I bought some mandarins, blackberries, apples, strawberries, sports drinks, apple juice, and toothpaste, paper towel, facial wash, shampoo\",\"I went grocery shopping. I bought some mandarins, blackberries, apples, strawberries, sports drinks, apple juice, and toothpaste, paper towel, facial wash, shampoo\"\n15561,2020/04/17,\"I had peanut-butter-jam for breakfast with Emily, Andrew, Kayden\",\"I had peanut-butter-jam for breakfast with Emily, Andrew, Kayden\"\n15562,2020/04/17,\"I had lunch with Kayden, Emily, Carter, Andrew. I ate fish and chips.\",\"I had lunch with Kayden, Emily, Carter, Andrew. I ate fish and chips.\"\n15563,2020/04/17,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n15564,2020/04/18,my parents for their and I went for an annual physical checkup at the university hospital on 2020/04/18.,my parents for their and I went for an annual physical checkup at the university hospital on 2020/04/18.\n15565,2020/04/18,\"I had cereals for breakfast with Kayden, Andrew, Emily, Carter\",\"I had cereals for breakfast with Kayden, Andrew, Emily, Carter\"\n15566,2020/04/18,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n15567,2020/04/18,\"I had dinner with Emily, Andrew, Carter. I ate tacos.\",\"I had dinner with Emily, Andrew, Carter. I ate tacos.\"\n15568,2020/04/18,I talked to Avery for 44 minutes in the late afternoon.,I talked to Avery for 44 minutes in the late afternoon.\n15569,2020/04/18,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n15570,2020/04/19,I did HIIT on 2020/04/19.,I did HIIT on 2020/04/19.\n15571,2020/04/19,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n15572,2020/04/19,\"I talked to Olivia, Kinsley, Nora for 26 minutes late in the evening.\",\"I talked to Olivia, Kinsley, Nora for 26 minutes late in the evening.\"\n15573,2020/04/20,I had sandwich for dinner with Avery,I had sandwich for dinner with Avery\n15574,2020/04/21,I had lunch. I ate steak.,I had lunch. I ate steak.\n15575,2020/04/21,I talked to Layla for 19 minutes late in the evening.,I talked to Layla for 19 minutes late in the evening.\n15576,2020/04/22,I went on a date with Emilia on 2020/04/22 at a coffee Shop,I went on a date with Emilia on 2020/04/22 at a coffee Shop\n15577,2020/04/22,I did running on 2020/04/22.,I did running on 2020/04/22.\n15578,2020/04/22,I prepare a burger for lunch.,I prepare a burger for lunch.\n15579,2020/04/22,I prepare sushi for dinner.,I prepare sushi for dinner.\n15580,2020/04/23,I had breakfast with Carter. I ate peanut-butter-jam.,I had breakfast with Carter. I ate peanut-butter-jam.\n15581,2020/04/23,I ate indian food for lunch.,I ate indian food for lunch.\n15582,2020/04/23,I spent 35 minutes on a book today.,I spent 35 minutes on a book today.\n15583,2020/04/23,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n15584,2020/04/24,I did weight lifting on 2020/04/24.,I did weight lifting on 2020/04/24.\n15585,2020/04/24,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n15586,2020/04/24,\"I had lunch with Andrew, Emily, Kayden, Carter. I ate steak.\",\"I had lunch with Andrew, Emily, Kayden, Carter. I ate steak.\"\n15587,2020/04/24,\"I talked to Kinsley, Nevaeh, Lydia, Piper for 39 minutes during lunch hours.\",\"I talked to Kinsley, Nevaeh, Lydia, Piper for 39 minutes during lunch hours.\"\n15588,2020/04/24,\"I spent 46 talking to Kinsley, Piper, Piper on various topics in the early afternoon.\",\"I spent 46 talking to Kinsley, Piper, Piper on various topics in the early afternoon.\"\n15589,2020/04/25,\"I bought some apricots, guava, pineapple juice, paper towel from the grocery store. I saw Willow at the grocery store.\",\"I bought some apricots, guava, pineapple juice, paper towel from the grocery store. I saw Willow at the grocery store.\"\n15590,2020/04/25,I did swimming on 2020/04/25.,I did swimming on 2020/04/25.\n15591,2020/04/25,I had pancakes for breakfast with Carter,I had pancakes for breakfast with Carter\n15592,2020/04/25,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n15593,2020/04/25,\"I spent 38 talking to Olivia, Claire, Eva on various topics in the late afternoon.\",\"I spent 38 talking to Olivia, Claire, Eva on various topics in the late afternoon.\"\n15594,2020/04/25,\"I spent 47 talking to Hazel, Olivia, Layla on various topics in the late afternoon.\",\"I spent 47 talking to Hazel, Olivia, Layla on various topics in the late afternoon.\"\n15595,2020/04/25,I spent 43 minutes reading a book today.,I spent 43 minutes reading a book today.\n15596,2020/04/26,I did swimming on 2020/04/26.,I did swimming on 2020/04/26.\n15597,2020/04/26,I prepare pasta for dinner.,I prepare pasta for dinner.\n15598,2020/04/26,\"I talked to Claire, Avery, Eva, Lydia for 27 minutes during lunch hours.\",\"I talked to Claire, Avery, Eva, Lydia for 27 minutes during lunch hours.\"\n15599,2020/04/26,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n15600,2020/04/27,I did swimming on 2020/04/27.,I did swimming on 2020/04/27.\n15601,2020/04/27,\"I talked to Nevaeh, Hazel, Piper, Eva for 18 minutes in the morning.\",\"I talked to Nevaeh, Hazel, Piper, Eva for 18 minutes in the morning.\"\n15602,2020/04/28,I did weight lifting on 2020/04/28.,I did weight lifting on 2020/04/28.\n15603,2020/04/28,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n15604,2020/04/28,\"I spent 17 talking to Nevaeh, Layla, Piper on various topics in the early evening.\",\"I spent 17 talking to Nevaeh, Layla, Piper on various topics in the early evening.\"\n15605,2020/04/29,I went on a date with Adam on 2020/04/29 at a park,I went on a date with Adam on 2020/04/29 at a park\n15606,2020/04/29,\"I bought some watermelons, apricots, peaches, pears, tea, conditioner, paper towel, shaving cream, toothpaste from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\",\"I bought some watermelons, apricots, peaches, pears, tea, conditioner, paper towel, shaving cream, toothpaste from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\"\n15607,2020/04/29,I did hiking on 2020/04/29.,I did hiking on 2020/04/29.\n15608,2020/04/29,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n15609,2020/04/29,I ate steak for lunch.,I ate steak for lunch.\n15610,2020/04/29,\"I spent 27 talking to Rylee, Eva on various topics in the late afternoon.\",\"I spent 27 talking to Rylee, Eva on various topics in the late afternoon.\"\n15611,2020/04/30,I did HIIT on 2020/04/30.,I did HIIT on 2020/04/30.\n15612,2020/04/30,\"I had pasta for dinner with Andrew, Kayden, Carter, Emily\",\"I had pasta for dinner with Andrew, Kayden, Carter, Emily\"\n15613,2020/04/30,I spent 5 talking to Lydia on various topics in the late afternoon.,I spent 5 talking to Lydia on various topics in the late afternoon.\n15614,2020/05/01,I did weight lifting on 2020/05/01.,I did weight lifting on 2020/05/01.\n15615,2020/05/01,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n15616,2020/05/01,I ate sandwich for dinner.,I ate sandwich for dinner.\n15617,2020/05/01,\"I spent 27 talking to Lydia, Piper, Claire on various topics in the late afternoon.\",\"I spent 27 talking to Lydia, Piper, Claire on various topics in the late afternoon.\"\n15618,2020/05/01,I watched a tv series for 53 minutes on TV today.,I watched a tv series for 53 minutes on TV today.\n15619,2020/05/02,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n15620,2020/05/02,I ate indian food for dinner.,I ate indian food for dinner.\n15621,2020/05/03,\"I went grocery shopping. I bought some mangos, pineapple juice, guava juice, and mouth wash, toilet paper, body lotion\",\"I went grocery shopping. I bought some mangos, pineapple juice, guava juice, and mouth wash, toilet paper, body lotion\"\n15622,2020/05/03,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n15623,2020/05/03,\"I spent 40 talking to Hazel, Piper, Claire, Kinsley on various topics late in the evening.\",\"I spent 40 talking to Hazel, Piper, Claire, Kinsley on various topics late in the evening.\"\n15624,2020/05/03,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n15625,2020/05/03,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n15626,2020/05/04,I did HIIT on 2020/05/04.,I did HIIT on 2020/05/04.\n15627,2020/05/04,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n15628,2020/05/04,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n15629,2020/05/05,\"I had toast and cheese for breakfast with Willow, Jackson\",\"I had toast and cheese for breakfast with Willow, Jackson\"\n15630,2020/05/05,\"I had chinese food for lunch with Emily, Carter, Andrew\",\"I had chinese food for lunch with Emily, Carter, Andrew\"\n15631,2020/05/05,I ate pasta for dinner.,I ate pasta for dinner.\n15632,2020/05/05,\"I talked to Piper, Nora for 15 minutes in the early afternoon.\",\"I talked to Piper, Nora for 15 minutes in the early afternoon.\"\n15633,2020/05/06,I did swimming on 2020/05/06.,I did swimming on 2020/05/06.\n15634,2020/05/06,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n15635,2020/05/06,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n15636,2020/05/06,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n15637,2020/05/07,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n15638,2020/05/07,\"I spent 54 talking to Lydia, Eva, Hazel on various topics in the morning.\",\"I spent 54 talking to Lydia, Eva, Hazel on various topics in the morning.\"\n15639,2020/05/07,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n15640,2020/05/08,\"I spent time meditation on 2020/05/08 with Emily, Carter, Andrew.\",\"I spent time meditation on 2020/05/08 with Emily, Carter, Andrew.\"\n15641,2020/05/08,I did weight lifting on 2020/05/08.,I did weight lifting on 2020/05/08.\n15642,2020/05/08,I ate cereals for breakfast.,I ate cereals for breakfast.\n15643,2020/05/08,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n15644,2020/05/08,I prepare a burger for dinner.,I prepare a burger for dinner.\n15645,2020/05/08,\"I talked to Nora, Rylee, Kinsley, Lydia for 52 minutes in the early afternoon.\",\"I talked to Nora, Rylee, Kinsley, Lydia for 52 minutes in the early afternoon.\"\n15646,2020/05/08,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n15647,2020/05/09,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n15648,2020/05/09,\"I had dinner with Piper, Lydia. I ate sandwich.\",\"I had dinner with Piper, Lydia. I ate sandwich.\"\n15649,2020/05/10,I did HIIT on 2020/05/10.,I did HIIT on 2020/05/10.\n15650,2020/05/10,I had breakfast with Eva. I ate cereals.,I had breakfast with Eva. I ate cereals.\n15651,2020/05/10,I prepare a burger for lunch.,I prepare a burger for lunch.\n15652,2020/05/10,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n15653,2020/05/11,I did hiking on 2020/05/11.,I did hiking on 2020/05/11.\n15654,2020/05/11,\"I had peanut-butter-jam for breakfast with Rylee, Layla, Lydia, Nora, Hazel, Piper, Claire, Kinsley, Avery, Piper, Nevaeh\",\"I had peanut-butter-jam for breakfast with Rylee, Layla, Lydia, Nora, Hazel, Piper, Claire, Kinsley, Avery, Piper, Nevaeh\"\n15655,2020/05/11,\"I had fish and chips for lunch with Emily, Andrew, Kayden\",\"I had fish and chips for lunch with Emily, Andrew, Kayden\"\n15656,2020/05/11,\"I talked to Nevaeh, Avery, Rylee for 6 minutes during lunch hours.\",\"I talked to Nevaeh, Avery, Rylee for 6 minutes during lunch hours.\"\n15657,2020/05/11,I spent 23 minutes on news today.,I spent 23 minutes on news today.\n15658,2020/05/11,I watched a documentary for 39 minutes on TV today.,I watched a documentary for 39 minutes on TV today.\n15659,2020/05/12,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n15660,2020/05/12,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n15661,2020/05/13,I did HIIT on 2020/05/13.,I did HIIT on 2020/05/13.\n15662,2020/05/14,I did HIIT on 2020/05/14.,I did HIIT on 2020/05/14.\n15663,2020/05/14,\"I had cereals for breakfast with Eva, Nora, Hazel, Lydia, Piper\",\"I had cereals for breakfast with Eva, Nora, Hazel, Lydia, Piper\"\n15664,2020/05/14,I ate indian food for dinner.,I ate indian food for dinner.\n15665,2020/05/14,\"I spent 48 talking to Claire, Rylee on various topics in the morning.\",\"I spent 48 talking to Claire, Rylee on various topics in the morning.\"\n15666,2020/05/14,I spent 29 minutes watching a movie on TV today.,I spent 29 minutes watching a movie on TV today.\n15667,2020/05/15,my parents for their and I went for an annual dental cleaning and checkup at the private clinic on 2020/05/15.,my parents for their and I went for an annual dental cleaning and checkup at the private clinic on 2020/05/15.\n15668,2020/05/15,\"I really enjoyed baking birthday cupcakes with white wine buttercream, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler on 2020/05/15 with Andrew, Carter at my place\",\"I really enjoyed baking birthday cupcakes with white wine buttercream, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler on 2020/05/15 with Andrew, Carter at my place\"\n15669,2020/05/15,I had breakfast with Andrew. I ate peanut-butter-jam.,I had breakfast with Andrew. I ate peanut-butter-jam.\n15670,2020/05/15,I prepare steak for lunch.,I prepare steak for lunch.\n15671,2020/05/15,I spent 15 talking to Hazel on various topics in the early afternoon.,I spent 15 talking to Hazel on various topics in the early afternoon.\n15672,2020/05/16,I prepare sushi for dinner.,I prepare sushi for dinner.\n15673,2020/05/16,\"I talked to Piper, Eva, Layla for 16 minutes in the late afternoon.\",\"I talked to Piper, Eva, Layla for 16 minutes in the late afternoon.\"\n15674,2020/05/16,\"I spent 46 talking to Nora, Eva, Hazel on various topics late in the evening.\",\"I spent 46 talking to Nora, Eva, Hazel on various topics late in the evening.\"\n15675,2020/05/17,\"I went grocery shopping. I bought some pears, guava juice, coffee, and facial wash\",\"I went grocery shopping. I bought some pears, guava juice, coffee, and facial wash\"\n15676,2020/05/17,I did HIIT on 2020/05/17.,I did HIIT on 2020/05/17.\n15677,2020/05/17,I had breakfast with Emily. I ate peanut-butter-jam.,I had breakfast with Emily. I ate peanut-butter-jam.\n15678,2020/05/17,\"I had lunch with Avery, Piper, Layla, Olivia, Claire, Nevaeh, Hazel, Nora, Piper, Eva, Lydia, Kinsley. I ate fish and chips.\",\"I had lunch with Avery, Piper, Layla, Olivia, Claire, Nevaeh, Hazel, Nora, Piper, Eva, Lydia, Kinsley. I ate fish and chips.\"\n15679,2020/05/17,I had dinner with Willow. I ate sandwich.,I had dinner with Willow. I ate sandwich.\n15680,2020/05/17,\"I spent 9 talking to Layla, Kinsley on various topics late in the evening.\",\"I spent 9 talking to Layla, Kinsley on various topics late in the evening.\"\n15681,2020/05/17,\"I talked to Olivia, Piper, Kinsley, Eva for 34 minutes in the late afternoon.\",\"I talked to Olivia, Piper, Kinsley, Eva for 34 minutes in the late afternoon.\"\n15682,2020/05/18,\"I had pancakes for breakfast with Kayden, Andrew, Carter, Emily\",\"I had pancakes for breakfast with Kayden, Andrew, Carter, Emily\"\n15683,2020/05/18,I ate sandwich for lunch.,I ate sandwich for lunch.\n15684,2020/05/18,\"I talked to Nora, Claire for 35 minutes late in the evening.\",\"I talked to Nora, Claire for 35 minutes late in the evening.\"\n15685,2020/05/18,I spent 21 minutes on social media today.,I spent 21 minutes on social media today.\n15686,2020/05/18,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n15687,2020/05/20,I did HIIT on 2020/05/20.,I did HIIT on 2020/05/20.\n15688,2020/05/20,\"I had peanut-butter-jam for breakfast with Emily, Kayden\",\"I had peanut-butter-jam for breakfast with Emily, Kayden\"\n15689,2020/05/20,\"I spent 55 talking to Nevaeh, Piper, Kinsley on various topics in the morning.\",\"I spent 55 talking to Nevaeh, Piper, Kinsley on various topics in the morning.\"\n15690,2020/05/20,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n15691,2020/05/21,\"I went grocery shopping. I bought some oranges, strawberries, orange juice, and mouth wash, mouthwash, shaving cream, conditioner\",\"I went grocery shopping. I bought some oranges, strawberries, orange juice, and mouth wash, mouthwash, shaving cream, conditioner\"\n15692,2020/05/21,I did swimming on 2020/05/21.,I did swimming on 2020/05/21.\n15693,2020/05/21,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n15694,2020/05/21,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n15695,2020/05/22,I did running on 2020/05/22.,I did running on 2020/05/22.\n15696,2020/05/22,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n15697,2020/05/22,\"I had dinner with Carter, Andrew, Kayden, Emily. I ate sandwich.\",\"I had dinner with Carter, Andrew, Kayden, Emily. I ate sandwich.\"\n15698,2020/05/22,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n15699,2020/05/23,\"I had lunch with Andrew, Kayden. I ate steak.\",\"I had lunch with Andrew, Kayden. I ate steak.\"\n15700,2020/05/23,I had dinner with Jackson. I ate sushi.,I had dinner with Jackson. I ate sushi.\n15701,2020/05/23,\"I spent 50 talking to Rylee, Piper on various topics in the late afternoon.\",\"I spent 50 talking to Rylee, Piper on various topics in the late afternoon.\"\n15702,2020/05/23,\"I talked to Lydia, Hazel for 15 minutes in the early evening.\",\"I talked to Lydia, Hazel for 15 minutes in the early evening.\"\n15703,2020/05/23,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n15704,2020/05/23,I watched a tv series for 47 minutes on TV today.,I watched a tv series for 47 minutes on TV today.\n15705,2020/05/24,\"I talked to Eva, Piper for 42 minutes during lunch hours.\",\"I talked to Eva, Piper for 42 minutes during lunch hours.\"\n15706,2020/05/24,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n15707,2020/05/25,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n15708,2020/05/25,I spent 21 minutes watching a movie on TV today.,I spent 21 minutes watching a movie on TV today.\n15709,2020/05/26,I did biking on 2020/05/26.,I did biking on 2020/05/26.\n15710,2020/05/26,I had breakfast with Emily. I ate peanut-butter-jam.,I had breakfast with Emily. I ate peanut-butter-jam.\n15711,2020/05/26,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n15712,2020/05/26,\"I talked to Nevaeh, Layla, Rylee for 40 minutes in the late afternoon.\",\"I talked to Nevaeh, Layla, Rylee for 40 minutes in the late afternoon.\"\n15713,2020/05/27,\"I had lunch with Avery, Willow, Jackson. I ate fish and chips.\",\"I had lunch with Avery, Willow, Jackson. I ate fish and chips.\"\n15714,2020/05/28,I did weight lifting on 2020/05/28.,I did weight lifting on 2020/05/28.\n15715,2020/05/28,\"I talked to Piper, Layla for 28 minutes in the late afternoon.\",\"I talked to Piper, Layla for 28 minutes in the late afternoon.\"\n15716,2020/05/28,I spent 15 minutes watching news on TV today.,I spent 15 minutes watching news on TV today.\n15717,2020/05/29,I did HIIT on 2020/05/29.,I did HIIT on 2020/05/29.\n15718,2020/05/29,\"I had lunch with Kayden, Andrew, Emily, Carter. I ate steak.\",\"I had lunch with Kayden, Andrew, Emily, Carter. I ate steak.\"\n15719,2020/05/29,I spent 28 talking to Nora on various topics in the early afternoon.,I spent 28 talking to Nora on various topics in the early afternoon.\n15720,2020/05/30,I did weight lifting on 2020/05/30.,I did weight lifting on 2020/05/30.\n15721,2020/05/30,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n15722,2020/05/30,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n15723,2020/05/30,I spent 37 talking to Claire on various topics late in the evening.,I spent 37 talking to Claire on various topics late in the evening.\n15724,2020/05/30,\"I talked to Nora, Olivia for 23 minutes during lunch hours.\",\"I talked to Nora, Olivia for 23 minutes during lunch hours.\"\n15725,2020/05/30,I spent 39 minutes on news today.,I spent 39 minutes on news today.\n15726,2020/05/31,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n15727,2020/05/31,\"I had sushi for dinner with Andrew, Emily, Carter\",\"I had sushi for dinner with Andrew, Emily, Carter\"\n15728,2020/05/31,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n15729,2020/05/31,I spent 6 minutes watching a documentary on TV today.,I spent 6 minutes watching a documentary on TV today.\n15730,2020/06/01,\"I went grocery shopping. I bought some oranges, mangos, mandarins, mineral water, mango juice, orange juice, and mouth wash, shaving cream\",\"I went grocery shopping. I bought some oranges, mangos, mandarins, mineral water, mango juice, orange juice, and mouth wash, shaving cream\"\n15731,2020/06/01,\"I had indian food for dinner with Avery, Nora, Kinsley, Layla, Nevaeh, Olivia, Piper\",\"I had indian food for dinner with Avery, Nora, Kinsley, Layla, Nevaeh, Olivia, Piper\"\n15732,2020/06/01,\"I spent 23 talking to Olivia, Kinsley, Rylee on various topics during lunch hours.\",\"I spent 23 talking to Olivia, Kinsley, Rylee on various topics during lunch hours.\"\n15733,2020/06/02,\"On 2020/06/02, I took Benjamin on a date to a boba shop\",\"On 2020/06/02, I took Benjamin on a date to a boba shop\"\n15734,2020/06/02,I did HIIT on 2020/06/02.,I did HIIT on 2020/06/02.\n15735,2020/06/02,\"I had breakfast with Andrew, Carter. I ate toast and cheese.\",\"I had breakfast with Andrew, Carter. I ate toast and cheese.\"\n15736,2020/06/02,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n15737,2020/06/02,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n15738,2020/06/03,I did biking on 2020/06/03.,I did biking on 2020/06/03.\n15739,2020/06/03,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n15740,2020/06/04,\"I had a burger for lunch with Willow, Jackson\",\"I had a burger for lunch with Willow, Jackson\"\n15741,2020/06/04,I ate a burger for dinner.,I ate a burger for dinner.\n15742,2020/06/04,I spent 29 talking to Hazel on various topics during lunch hours.,I spent 29 talking to Hazel on various topics during lunch hours.\n15743,2020/06/04,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n15744,2020/06/05,I did biking on 2020/06/05.,I did biking on 2020/06/05.\n15745,2020/06/05,\"I had lunch with Emily, Andrew, Carter, Kayden. I ate steak.\",\"I had lunch with Emily, Andrew, Carter, Kayden. I ate steak.\"\n15746,2020/06/05,\"I talked to Nora, Layla for 21 minutes during lunch hours.\",\"I talked to Nora, Layla for 21 minutes during lunch hours.\"\n15747,2020/06/05,I spent 18 minutes on news today.,I spent 18 minutes on news today.\n15748,2020/06/06,I did swimming on 2020/06/06.,I did swimming on 2020/06/06.\n15749,2020/06/06,I had dinner with Emily. I ate steak.,I had dinner with Emily. I ate steak.\n15750,2020/06/06,I spent 34 talking to Olivia on various topics in the early afternoon.,I spent 34 talking to Olivia on various topics in the early afternoon.\n15751,2020/06/06,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n15752,2020/06/07,I ate sushi for dinner.,I ate sushi for dinner.\n15753,2020/06/07,\"I talked to Kinsley, Layla, Olivia, Claire for 13 minutes in the morning.\",\"I talked to Kinsley, Layla, Olivia, Claire for 13 minutes in the morning.\"\n15754,2020/06/07,\"I spent 25 talking to Piper, Nevaeh, Claire, Kinsley on various topics in the early evening.\",\"I spent 25 talking to Piper, Nevaeh, Claire, Kinsley on various topics in the early evening.\"\n15755,2020/06/08,\"I bought some strawberries, soda, shaving cream, toothpaste from the grocery store. I saw Andrew at the grocery store.\",\"I bought some strawberries, soda, shaving cream, toothpaste from the grocery store. I saw Andrew at the grocery store.\"\n15756,2020/06/08,\"I had eggs, sausages, and bread for breakfast with Benjamin, Avery\",\"I had eggs, sausages, and bread for breakfast with Benjamin, Avery\"\n15757,2020/06/08,\"I talked to Olivia, Nevaeh for 44 minutes late in the evening.\",\"I talked to Olivia, Nevaeh for 44 minutes late in the evening.\"\n15758,2020/06/08,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n15759,2020/06/09,I did hiking on 2020/06/09.,I did hiking on 2020/06/09.\n15760,2020/06/09,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n15761,2020/06/09,I ate steak for lunch.,I ate steak for lunch.\n15762,2020/06/09,\"I talked to Nevaeh, Piper, Avery for 15 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Avery for 15 minutes in the late afternoon.\"\n15763,2020/06/10,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n15764,2020/06/10,I had dinner with Hazel. I ate chinese food.,I had dinner with Hazel. I ate chinese food.\n15765,2020/06/10,I talked to Piper for 51 minutes in the early evening.,I talked to Piper for 51 minutes in the early evening.\n15766,2020/06/10,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n15767,2020/06/11,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n15768,2020/06/11,I ate sandwich for dinner.,I ate sandwich for dinner.\n15769,2020/06/12,I spent time yoga on 2020/06/12 with Rylee.,I spent time yoga on 2020/06/12 with Rylee.\n15770,2020/06/12,\"I went grocery shopping. I bought some strawberries, bananas, chocolate milk, guava juice, pineapple juice, and toilet paper, body lotion, paper towel\",\"I went grocery shopping. I bought some strawberries, bananas, chocolate milk, guava juice, pineapple juice, and toilet paper, body lotion, paper towel\"\n15771,2020/06/12,I did weight lifting on 2020/06/12.,I did weight lifting on 2020/06/12.\n15772,2020/06/12,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n15773,2020/06/12,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n15774,2020/06/12,\"I spent 10 talking to Hazel, Kinsley, Layla, Piper on various topics during lunch hours.\",\"I spent 10 talking to Hazel, Kinsley, Layla, Piper on various topics during lunch hours.\"\n15775,2020/06/12,\"I spent 51 talking to Claire, Olivia, Avery on various topics in the late afternoon.\",\"I spent 51 talking to Claire, Olivia, Avery on various topics in the late afternoon.\"\n15776,2020/06/13,I had cereals for breakfast with Emily,I had cereals for breakfast with Emily\n15777,2020/06/13,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n15778,2020/06/13,\"I talked to Eva, Avery, Olivia, Lydia for 21 minutes in the early evening.\",\"I talked to Eva, Avery, Olivia, Lydia for 21 minutes in the early evening.\"\n15779,2020/06/14,I had dinner. I ate steak.,I had dinner. I ate steak.\n15780,2020/06/14,\"I talked to Lydia, Kinsley, Piper for 42 minutes in the late afternoon.\",\"I talked to Lydia, Kinsley, Piper for 42 minutes in the late afternoon.\"\n15781,2020/06/14,I spent 34 minutes watching news on TV today.,I spent 34 minutes watching news on TV today.\n15782,2020/06/15,\"I entertained Nevaeh at my place on 2020/06/15 and cook tender salsa beef, healthy turkey chili, thai noodle salad\",\"I entertained Nevaeh at my place on 2020/06/15 and cook tender salsa beef, healthy turkey chili, thai noodle salad\"\n15783,2020/06/15,I did HIIT on 2020/06/15.,I did HIIT on 2020/06/15.\n15784,2020/06/15,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n15785,2020/06/15,\"I had steak for lunch with Andrew, Emily\",\"I had steak for lunch with Andrew, Emily\"\n15786,2020/06/15,\"I had dinner with Emily, Kayden, Andrew. I ate sushi.\",\"I had dinner with Emily, Kayden, Andrew. I ate sushi.\"\n15787,2020/06/16,I prepare steak for lunch.,I prepare steak for lunch.\n15788,2020/06/16,\"I spent 21 talking to Piper, Layla, Eva, Piper on various topics in the early afternoon.\",\"I spent 21 talking to Piper, Layla, Eva, Piper on various topics in the early afternoon.\"\n15789,2020/06/16,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n15790,2020/06/16,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n15791,2020/06/17,\"I had lunch with Nora, Piper, Piper, Layla, Rylee, Eva, Claire, Olivia. I ate sushi.\",\"I had lunch with Nora, Piper, Piper, Layla, Rylee, Eva, Claire, Olivia. I ate sushi.\"\n15792,2020/06/17,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n15793,2020/06/18,I had sushi for lunch with Willow,I had sushi for lunch with Willow\n15794,2020/06/18,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n15795,2020/06/18,I spent 39 minutes watching a tv series on TV today.,I spent 39 minutes watching a tv series on TV today.\n15796,2020/06/19,I did biking on 2020/06/19.,I did biking on 2020/06/19.\n15797,2020/06/19,I had breakfast with Avery. I ate cereals.,I had breakfast with Avery. I ate cereals.\n15798,2020/06/19,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n15799,2020/06/19,I talked to Rylee for 39 minutes late in the evening.,I talked to Rylee for 39 minutes late in the evening.\n15800,2020/06/19,I spent 22 talking to Lydia on various topics in the morning.,I spent 22 talking to Lydia on various topics in the morning.\n15801,2020/06/19,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n15802,2020/06/19,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n15803,2020/06/20,I had breakfast with Emily. I ate toast and cheese.,I had breakfast with Emily. I ate toast and cheese.\n15804,2020/06/20,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n15805,2020/06/20,\"I had dinner with Benjamin, Willow. I ate chinese food.\",\"I had dinner with Benjamin, Willow. I ate chinese food.\"\n15806,2020/06/20,I talked to Hazel for 41 minutes in the early afternoon.,I talked to Hazel for 41 minutes in the early afternoon.\n15807,2020/06/20,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n15808,2020/06/21,\"I had steak for lunch with Andrew, Kayden\",\"I had steak for lunch with Andrew, Kayden\"\n15809,2020/06/21,\"I spent 48 talking to Claire, Rylee on various topics in the early evening.\",\"I spent 48 talking to Claire, Rylee on various topics in the early evening.\"\n15810,2020/06/21,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n15811,2020/06/22,\"I went grocery shopping. I bought some pears, oranges, cherres, chocolate milk, milk, and body lotion, shaving cream, toothbrush, mouth wash\",\"I went grocery shopping. I bought some pears, oranges, cherres, chocolate milk, milk, and body lotion, shaving cream, toothbrush, mouth wash\"\n15812,2020/06/22,\"I had dinner with Lydia, Piper, Nora, Kinsley, Hazel, Nevaeh, Rylee. I ate pasta.\",\"I had dinner with Lydia, Piper, Nora, Kinsley, Hazel, Nevaeh, Rylee. I ate pasta.\"\n15813,2020/06/22,\"I spent 29 talking to Hazel, Avery, Kinsley, Lydia on various topics in the morning.\",\"I spent 29 talking to Hazel, Avery, Kinsley, Lydia on various topics in the morning.\"\n15814,2020/06/23,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n15815,2020/06/23,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n15816,2020/06/23,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n15817,2020/06/24,\"I had breakfast with Avery, Willow. I ate cereals.\",\"I had breakfast with Avery, Willow. I ate cereals.\"\n15818,2020/06/24,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n15819,2020/06/24,\"I talked to Nora, Piper for 24 minutes in the early afternoon.\",\"I talked to Nora, Piper for 24 minutes in the early afternoon.\"\n15820,2020/06/24,I spent 36 minutes on a book today.,I spent 36 minutes on a book today.\n15821,2020/06/25,I had a burger for lunch with Jackson,I had a burger for lunch with Jackson\n15822,2020/06/25,I ate tacos for dinner.,I ate tacos for dinner.\n15823,2020/06/25,\"I spent 39 talking to Olivia, Nevaeh, Claire, Hazel on various topics in the morning.\",\"I spent 39 talking to Olivia, Nevaeh, Claire, Hazel on various topics in the morning.\"\n15824,2020/06/26,I did biking on 2020/06/26.,I did biking on 2020/06/26.\n15825,2020/06/26,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n15826,2020/06/26,I prepare steak for lunch.,I prepare steak for lunch.\n15827,2020/06/26,I ate sushi for dinner.,I ate sushi for dinner.\n15828,2020/06/26,\"I spent 55 talking to Eva, Olivia on various topics late in the evening.\",\"I spent 55 talking to Eva, Olivia on various topics late in the evening.\"\n15829,2020/06/26,I spent 30 minutes on social media today.,I spent 30 minutes on social media today.\n15830,2020/06/26,I spent 38 minutes watching a tv series on TV today.,I spent 38 minutes watching a tv series on TV today.\n15831,2020/06/27,I took Kayden for his/her  for an annual vision checkup on 2020/06/27 at the private clinic.,I took Kayden for his/her  for an annual vision checkup on 2020/06/27 at the private clinic.\n15832,2020/06/27,I did running on 2020/06/27.,I did running on 2020/06/27.\n15833,2020/06/27,\"I had dinner with Claire, Kinsley, Eva, Nevaeh, Lydia, Rylee. I ate sushi.\",\"I had dinner with Claire, Kinsley, Eva, Nevaeh, Lydia, Rylee. I ate sushi.\"\n15834,2020/06/27,\"I spent 33 talking to Kinsley, Nevaeh, Nora, Olivia on various topics during lunch hours.\",\"I spent 33 talking to Kinsley, Nevaeh, Nora, Olivia on various topics during lunch hours.\"\n15835,2020/06/28,\"I went grocery shopping with Andrew, Emily, Carter. I bought some pineapples, pineapple juice, tea, mineral water, and shampoo, toilet paper, body lotion, mouthwash\",\"I went grocery shopping with Andrew, Emily, Carter. I bought some pineapples, pineapple juice, tea, mineral water, and shampoo, toilet paper, body lotion, mouthwash\"\n15836,2020/06/28,\"I had breakfast with Rylee, Olivia, Hazel, Lydia, Eva, Piper, Claire, Nora. I ate oatmeal.\",\"I had breakfast with Rylee, Olivia, Hazel, Lydia, Eva, Piper, Claire, Nora. I ate oatmeal.\"\n15837,2020/06/28,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n15838,2020/06/29,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n15839,2020/06/29,\"I had sandwich for lunch with Kinsley, Layla, Nora, Hazel\",\"I had sandwich for lunch with Kinsley, Layla, Nora, Hazel\"\n15840,2020/06/29,I had a burger for dinner with Emily,I had a burger for dinner with Emily\n15841,2020/06/29,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n15842,2020/06/30,\"On 2020/06/30, I took Owen on a date to a boba shop\",\"On 2020/06/30, I took Owen on a date to a boba shop\"\n15843,2020/06/30,I did HIIT on 2020/06/30.,I did HIIT on 2020/06/30.\n15844,2020/06/30,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n15845,2020/06/30,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n15846,2020/07/01,I ate sandwich for lunch.,I ate sandwich for lunch.\n15847,2020/07/01,\"I spent 28 talking to Layla, Piper, Claire, Avery on various topics in the early afternoon.\",\"I spent 28 talking to Layla, Piper, Claire, Avery on various topics in the early afternoon.\"\n15848,2020/07/01,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n15849,2020/07/01,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n15850,2020/07/02,I did HIIT on 2020/07/02.,I did HIIT on 2020/07/02.\n15851,2020/07/02,\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate pancakes.\",\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate pancakes.\"\n15852,2020/07/02,\"I had lunch with Carter, Kayden, Andrew. I ate sandwich.\",\"I had lunch with Carter, Kayden, Andrew. I ate sandwich.\"\n15853,2020/07/02,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n15854,2020/07/02,I watched a documentary for 35 minutes on TV today.,I watched a documentary for 35 minutes on TV today.\n15855,2020/07/03,I went on a date with Miles on 2020/07/03 at a restaurant,I went on a date with Miles on 2020/07/03 at a restaurant\n15856,2020/07/03,\"I bought some watermelons, pineapples, milk, mango juice, apple juice, soda, body lotion from the grocery store. I saw Andrew at the grocery store.\",\"I bought some watermelons, pineapples, milk, mango juice, apple juice, soda, body lotion from the grocery store. I saw Andrew at the grocery store.\"\n15857,2020/07/03,I did HIIT on 2020/07/03.,I did HIIT on 2020/07/03.\n15858,2020/07/03,I ate indian food for lunch.,I ate indian food for lunch.\n15859,2020/07/04,\"On 2020/07/04, I took Ava on a date to a coffee Shop\",\"On 2020/07/04, I took Ava on a date to a coffee Shop\"\n15860,2020/07/04,I did weight lifting on 2020/07/04.,I did weight lifting on 2020/07/04.\n15861,2020/07/04,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n15862,2020/07/04,I spent 52 minutes watching a tv series on TV today.,I spent 52 minutes watching a tv series on TV today.\n15863,2020/07/05,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n15864,2020/07/05,I ate tacos for dinner.,I ate tacos for dinner.\n15865,2020/07/05,\"I spent 28 talking to Eva, Lydia on various topics in the morning.\",\"I spent 28 talking to Eva, Lydia on various topics in the morning.\"\n15866,2020/07/05,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n15867,2020/07/06,I went for an annual physical checkup on 2020/07/06 at the private clinic.,I went for an annual physical checkup on 2020/07/06 at the private clinic.\n15868,2020/07/06,I did HIIT on 2020/07/06.,I did HIIT on 2020/07/06.\n15869,2020/07/06,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n15870,2020/07/06,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n15871,2020/07/06,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n15872,2020/07/06,\"I spent 39 talking to Lydia, Eva, Olivia, Rylee on various topics late in the evening.\",\"I spent 39 talking to Lydia, Eva, Olivia, Rylee on various topics late in the evening.\"\n15873,2020/07/06,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n15874,2020/07/07,\"I had cereals for breakfast with Nora, Lydia, Olivia, Kinsley, Layla, Claire, Eva, Avery, Piper, Piper, Nevaeh\",\"I had cereals for breakfast with Nora, Lydia, Olivia, Kinsley, Layla, Claire, Eva, Avery, Piper, Piper, Nevaeh\"\n15875,2020/07/07,I prepare tacos for lunch.,I prepare tacos for lunch.\n15876,2020/07/07,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n15877,2020/07/07,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n15878,2020/07/08,\"I spent 45 talking to Avery, Lydia, Rylee, Nora on various topics late in the evening.\",\"I spent 45 talking to Avery, Lydia, Rylee, Nora on various topics late in the evening.\"\n15879,2020/07/08,I spent 47 talking to Piper on various topics in the morning.,I spent 47 talking to Piper on various topics in the morning.\n15880,2020/07/08,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n15881,2020/07/09,I did HIIT on 2020/07/09.,I did HIIT on 2020/07/09.\n15882,2020/07/09,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n15883,2020/07/09,I had a burger for lunch with Andrew,I had a burger for lunch with Andrew\n15884,2020/07/10,\"I talked to Eva, Layla, Piper for 44 minutes in the morning.\",\"I talked to Eva, Layla, Piper for 44 minutes in the morning.\"\n15885,2020/07/10,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n15886,2020/07/10,I watched a movie for 46 minutes on TV today.,I watched a movie for 46 minutes on TV today.\n15887,2020/07/11,I ate a burger for dinner.,I ate a burger for dinner.\n15888,2020/07/11,I spent 19 minutes on a book today.,I spent 19 minutes on a book today.\n15889,2020/07/12,I really enjoyed learning a language on 2020/07/12,I really enjoyed learning a language on 2020/07/12\n15890,2020/07/12,\"I bought some clementines, apples, blackberries, pineapples, orange juice, mineral water, milk, chocolate milk, mouthwash from the grocery store. I saw Nora, Kinsley, Lydia, Eva, Layla, Piper, Claire, Piper at the grocery store.\",\"I bought some clementines, apples, blackberries, pineapples, orange juice, mineral water, milk, chocolate milk, mouthwash from the grocery store. I saw Nora, Kinsley, Lydia, Eva, Layla, Piper, Claire, Piper at the grocery store.\"\n15891,2020/07/12,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n15892,2020/07/12,\"I had lunch with Lydia, Layla, Claire, Olivia, Piper, Nevaeh. I ate pasta.\",\"I had lunch with Lydia, Layla, Claire, Olivia, Piper, Nevaeh. I ate pasta.\"\n15893,2020/07/12,I ate pasta for dinner.,I ate pasta for dinner.\n15894,2020/07/12,\"I spent 40 talking to Nora, Piper, Claire on various topics in the morning.\",\"I spent 40 talking to Nora, Piper, Claire on various topics in the morning.\"\n15895,2020/07/12,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n15896,2020/07/13,I did weight lifting on 2020/07/13.,I did weight lifting on 2020/07/13.\n15897,2020/07/13,I ate sushi for lunch.,I ate sushi for lunch.\n15898,2020/07/13,I prepare steak for dinner.,I prepare steak for dinner.\n15899,2020/07/13,\"I spent 26 talking to Kinsley, Nevaeh on various topics in the late afternoon.\",\"I spent 26 talking to Kinsley, Nevaeh on various topics in the late afternoon.\"\n15900,2020/07/13,I spent 10 minutes watching a documentary on TV today.,I spent 10 minutes watching a documentary on TV today.\n15901,2020/07/14,\"On 2020/07/14, I took Kinsley on a date to a boba shop\",\"On 2020/07/14, I took Kinsley on a date to a boba shop\"\n15902,2020/07/14,I did running on 2020/07/14.,I did running on 2020/07/14.\n15903,2020/07/14,I spent 55 talking to Nora on various topics in the early evening.,I spent 55 talking to Nora on various topics in the early evening.\n15904,2020/07/14,\"I spent 45 talking to Claire, Nora, Lydia, Kinsley on various topics during lunch hours.\",\"I spent 45 talking to Claire, Nora, Lydia, Kinsley on various topics during lunch hours.\"\n15905,2020/07/14,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n15906,2020/07/14,I spent 35 minutes watching a documentary on TV today.,I spent 35 minutes watching a documentary on TV today.\n15907,2020/07/15,I did biking on 2020/07/15.,I did biking on 2020/07/15.\n15908,2020/07/15,I ate tacos for lunch.,I ate tacos for lunch.\n15909,2020/07/15,I prepare steak for dinner.,I prepare steak for dinner.\n15910,2020/07/15,\"I talked to Layla, Piper, Nevaeh, Lydia for 10 minutes during lunch hours.\",\"I talked to Layla, Piper, Nevaeh, Lydia for 10 minutes during lunch hours.\"\n15911,2020/07/15,\"I spent 28 talking to Piper, Hazel, Eva on various topics late in the evening.\",\"I spent 28 talking to Piper, Hazel, Eva on various topics late in the evening.\"\n15912,2020/07/15,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n15913,2020/07/16,\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Emily, Carter\",\"I had peanut-butter-jam for breakfast with Kayden, Andrew, Emily, Carter\"\n15914,2020/07/16,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n15915,2020/07/16,I had indian food for dinner with Emily,I had indian food for dinner with Emily\n15916,2020/07/16,\"I talked to Avery, Piper, Hazel, Layla for 18 minutes in the morning.\",\"I talked to Avery, Piper, Hazel, Layla for 18 minutes in the morning.\"\n15917,2020/07/17,I talked to Nevaeh for 7 minutes during lunch hours.,I talked to Nevaeh for 7 minutes during lunch hours.\n15918,2020/07/17,\"I talked to Piper, Claire, Layla for 53 minutes in the early evening.\",\"I talked to Piper, Claire, Layla for 53 minutes in the early evening.\"\n15919,2020/07/17,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n15920,2020/07/18,I had breakfast with Avery. I ate peanut-butter-jam.,I had breakfast with Avery. I ate peanut-butter-jam.\n15921,2020/07/18,I ate indian food for lunch.,I ate indian food for lunch.\n15922,2020/07/18,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n15923,2020/07/18,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n15924,2020/07/18,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n15925,2020/07/19,I did biking on 2020/07/19.,I did biking on 2020/07/19.\n15926,2020/07/19,\"I had breakfast with Lydia, Nora, Claire, Avery, Kinsley, Piper, Nevaeh, Hazel, Eva, Piper. I ate toast and cheese.\",\"I had breakfast with Lydia, Nora, Claire, Avery, Kinsley, Piper, Nevaeh, Hazel, Eva, Piper. I ate toast and cheese.\"\n15927,2020/07/19,\"I spent 40 talking to Hazel, Kinsley, Piper, Layla on various topics in the morning.\",\"I spent 40 talking to Hazel, Kinsley, Piper, Layla on various topics in the morning.\"\n15928,2020/07/19,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n15929,2020/07/20,\"I bought some nectarines, sports drinks, guava juice, milk, paper towel, shaving cream, conditioner from the grocery store. I saw Avery at the grocery store.\",\"I bought some nectarines, sports drinks, guava juice, milk, paper towel, shaving cream, conditioner from the grocery store. I saw Avery at the grocery store.\"\n15930,2020/07/20,I did biking on 2020/07/20.,I did biking on 2020/07/20.\n15931,2020/07/20,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n15932,2020/07/20,\"I had pasta for dinner with Andrew, Emily, Carter\",\"I had pasta for dinner with Andrew, Emily, Carter\"\n15933,2020/07/20,\"I spent 36 talking to Avery, Nevaeh, Layla on various topics in the early evening.\",\"I spent 36 talking to Avery, Nevaeh, Layla on various topics in the early evening.\"\n15934,2020/07/21,I did weight lifting on 2020/07/21.,I did weight lifting on 2020/07/21.\n15935,2020/07/21,I prepare pasta for dinner.,I prepare pasta for dinner.\n15936,2020/07/21,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n15937,2020/07/22,\"I went grocery shopping. I bought some peaches, raspberries, pineapples, mandarins, guava juice, pineapple juice, and paper towel, toothbrush\",\"I went grocery shopping. I bought some peaches, raspberries, pineapples, mandarins, guava juice, pineapple juice, and paper towel, toothbrush\"\n15938,2020/07/22,I did hiking on 2020/07/22.,I did hiking on 2020/07/22.\n15939,2020/07/22,I ate chinese food for lunch.,I ate chinese food for lunch.\n15940,2020/07/22,\"I talked to Lydia, Piper, Kinsley for 21 minutes late in the evening.\",\"I talked to Lydia, Piper, Kinsley for 21 minutes late in the evening.\"\n15941,2020/07/23,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n15942,2020/07/24,I had cereals for breakfast with Carter,I had cereals for breakfast with Carter\n15943,2020/07/24,I prepare tacos for dinner.,I prepare tacos for dinner.\n15944,2020/07/24,I talked to Piper for 27 minutes during lunch hours.,I talked to Piper for 27 minutes during lunch hours.\n15945,2020/07/24,I spent 21 minutes reading a book today.,I spent 21 minutes reading a book today.\n15946,2020/07/24,I spent 20 minutes watching a movie on TV today.,I spent 20 minutes watching a movie on TV today.\n15947,2020/07/25,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n15948,2020/07/25,\"I had lunch with Kinsley, Avery, Layla, Rylee, Piper, Nevaeh. I ate steak.\",\"I had lunch with Kinsley, Avery, Layla, Rylee, Piper, Nevaeh. I ate steak.\"\n15949,2020/07/25,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n15950,2020/07/26,I did swimming on 2020/07/26.,I did swimming on 2020/07/26.\n15951,2020/07/26,\"I had eggs, sausages, and bread for breakfast with Eva, Nora, Hazel, Layla, Piper, Piper, Claire, Nevaeh, Lydia, Rylee, Olivia, Kinsley\",\"I had eggs, sausages, and bread for breakfast with Eva, Nora, Hazel, Layla, Piper, Piper, Claire, Nevaeh, Lydia, Rylee, Olivia, Kinsley\"\n15952,2020/07/26,I ate sandwich for lunch.,I ate sandwich for lunch.\n15953,2020/07/26,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n15954,2020/07/26,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n15955,2020/07/27,I did biking on 2020/07/27.,I did biking on 2020/07/27.\n15956,2020/07/27,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n15957,2020/07/27,I ate a burger for dinner.,I ate a burger for dinner.\n15958,2020/07/27,I spent 9 talking to Hazel on various topics late in the evening.,I spent 9 talking to Hazel on various topics late in the evening.\n15959,2020/07/27,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n15960,2020/07/27,I spent 27 minutes watching a tv series on TV today.,I spent 27 minutes watching a tv series on TV today.\n15961,2020/07/28,I had tacos for lunch with Andrew,I had tacos for lunch with Andrew\n15962,2020/07/28,I prepare indian food for dinner.,I prepare indian food for dinner.\n15963,2020/07/28,\"I spent 28 talking to Nora, Kinsley, Hazel on various topics during lunch hours.\",\"I spent 28 talking to Nora, Kinsley, Hazel on various topics during lunch hours.\"\n15964,2020/07/28,\"I spent 34 talking to Rylee, Piper on various topics in the early afternoon.\",\"I spent 34 talking to Rylee, Piper on various topics in the early afternoon.\"\n15965,2020/07/28,I spent 32 minutes on social media today.,I spent 32 minutes on social media today.\n15966,2020/07/28,I watched a documentary for 46 minutes on TV today.,I watched a documentary for 46 minutes on TV today.\n15967,2020/07/29,\"I really enjoyed cooking chicken and gravy on 2020/07/29 with Kayden, Emily at my place\",\"I really enjoyed cooking chicken and gravy on 2020/07/29 with Kayden, Emily at my place\"\n15968,2020/07/29,I did swimming on 2020/07/29.,I did swimming on 2020/07/29.\n15969,2020/07/29,\"I had dinner with Carter, Kayden, Andrew, Emily. I ate sushi.\",\"I had dinner with Carter, Kayden, Andrew, Emily. I ate sushi.\"\n15970,2020/07/29,I spent 31 talking to Lydia on various topics in the morning.,I spent 31 talking to Lydia on various topics in the morning.\n15971,2020/07/29,I spent 11 minutes reading news today.,I spent 11 minutes reading news today.\n15972,2020/07/30,\"I went grocery shopping with Jackson. I bought some peaches, nectarines, clementines, strawberries, mineral water, tea, and mouthwash\",\"I went grocery shopping with Jackson. I bought some peaches, nectarines, clementines, strawberries, mineral water, tea, and mouthwash\"\n15973,2020/07/30,I did swimming on 2020/07/30.,I did swimming on 2020/07/30.\n15974,2020/07/30,I ate a burger for lunch.,I ate a burger for lunch.\n15975,2020/07/30,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n15976,2020/07/31,I did running on 2020/07/31.,I did running on 2020/07/31.\n15977,2020/07/31,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n15978,2020/07/31,\"I had dinner with Hazel, Rylee. I ate sandwich.\",\"I had dinner with Hazel, Rylee. I ate sandwich.\"\n15979,2020/07/31,\"I talked to Hazel, Piper, Eva, Nevaeh for 18 minutes during lunch hours.\",\"I talked to Hazel, Piper, Eva, Nevaeh for 18 minutes during lunch hours.\"\n15980,2020/08/01,I did HIIT on 2020/08/01.,I did HIIT on 2020/08/01.\n15981,2020/08/01,\"I had breakfast with Carter, Kayden, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Kayden, Emily. I ate peanut-butter-jam.\"\n15982,2020/08/01,I prepare a burger for dinner.,I prepare a burger for dinner.\n15983,2020/08/02,I went on a date with Ariana on 2020/08/02 at a park,I went on a date with Ariana on 2020/08/02 at a park\n15984,2020/08/02,I did swimming on 2020/08/02.,I did swimming on 2020/08/02.\n15985,2020/08/02,I had dinner with Emily. I ate sushi.,I had dinner with Emily. I ate sushi.\n15986,2020/08/02,\"I talked to Hazel, Olivia for 14 minutes in the morning.\",\"I talked to Hazel, Olivia for 14 minutes in the morning.\"\n15987,2020/08/02,I spent 41 minutes reading social media today.,I spent 41 minutes reading social media today.\n15988,2020/08/03,I did HIIT on 2020/08/03.,I did HIIT on 2020/08/03.\n15989,2020/08/03,\"I spent 42 talking to Eva, Lydia on various topics late in the evening.\",\"I spent 42 talking to Eva, Lydia on various topics late in the evening.\"\n15990,2020/08/03,\"I talked to Olivia, Lydia, Piper, Piper for 12 minutes in the early evening.\",\"I talked to Olivia, Lydia, Piper, Piper for 12 minutes in the early evening.\"\n15991,2020/08/04,\"I went grocery shopping with Benjamin, Jackson, Avery. I bought some pineapples, cherres, blueberries, strawberries, coffee, tea, mineral water, chocolate milk, and shampoo, conditioner, paper towel\",\"I went grocery shopping with Benjamin, Jackson, Avery. I bought some pineapples, cherres, blueberries, strawberries, coffee, tea, mineral water, chocolate milk, and shampoo, conditioner, paper towel\"\n15992,2020/08/04,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n15993,2020/08/04,I talked to Layla for 18 minutes during lunch hours.,I talked to Layla for 18 minutes during lunch hours.\n15994,2020/08/04,I spent 47 minutes reading news today.,I spent 47 minutes reading news today.\n15995,2020/08/04,I watched a tv series for 10 minutes on TV today.,I watched a tv series for 10 minutes on TV today.\n15996,2020/08/05,Kayden for his/her  and I went for an annual physical checkup at the private clinic on 2020/08/05.,Kayden for his/her  and I went for an annual physical checkup at the private clinic on 2020/08/05.\n15997,2020/08/05,\"I went grocery shopping. I bought some strawberries, cherres, guava, guava juice, orange juice, mango juice, milk, and shampoo\",\"I went grocery shopping. I bought some strawberries, cherres, guava, guava juice, orange juice, mango juice, milk, and shampoo\"\n15998,2020/08/05,\"I had oatmeal for breakfast with Jackson, Willow, Benjamin\",\"I had oatmeal for breakfast with Jackson, Willow, Benjamin\"\n15999,2020/08/05,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n16000,2020/08/05,\"I talked to Layla, Piper, Rylee for 15 minutes in the late afternoon.\",\"I talked to Layla, Piper, Rylee for 15 minutes in the late afternoon.\"\n16001,2020/08/05,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n16002,2020/08/06,I did HIIT on 2020/08/06.,I did HIIT on 2020/08/06.\n16003,2020/08/06,\"I talked to Claire, Hazel, Olivia, Lydia for 50 minutes in the morning.\",\"I talked to Claire, Hazel, Olivia, Lydia for 50 minutes in the morning.\"\n16004,2020/08/06,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n16005,2020/08/06,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n16006,2020/08/07,I did HIIT on 2020/08/07.,I did HIIT on 2020/08/07.\n16007,2020/08/07,\"I had a burger for lunch with Avery, Jackson, Willow\",\"I had a burger for lunch with Avery, Jackson, Willow\"\n16008,2020/08/07,I prepare tacos for dinner.,I prepare tacos for dinner.\n16009,2020/08/07,\"I spent 15 talking to Avery, Piper on various topics in the early evening.\",\"I spent 15 talking to Avery, Piper on various topics in the early evening.\"\n16010,2020/08/07,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n16011,2020/08/08,I did swimming on 2020/08/08.,I did swimming on 2020/08/08.\n16012,2020/08/08,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n16013,2020/08/08,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n16014,2020/08/08,I spent 45 minutes watching a tv series on TV today.,I spent 45 minutes watching a tv series on TV today.\n16015,2020/08/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n16016,2020/08/09,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n16017,2020/08/09,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n16018,2020/08/10,I did biking on 2020/08/10.,I did biking on 2020/08/10.\n16019,2020/08/10,I ate indian food for dinner.,I ate indian food for dinner.\n16020,2020/08/10,I spent 34 minutes watching a movie on TV today.,I spent 34 minutes watching a movie on TV today.\n16021,2020/08/11,\"On 2020/08/11, I took Paisley on a date to a coffee Shop\",\"On 2020/08/11, I took Paisley on a date to a coffee Shop\"\n16022,2020/08/11,\"I bought some blackberries, guava, mandarins, milk, guava juice, chocolate milk, sports drinks, shampoo online.\",\"I bought some blackberries, guava, mandarins, milk, guava juice, chocolate milk, sports drinks, shampoo online.\"\n16023,2020/08/11,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n16024,2020/08/11,\"I had dinner with Andrew, Emily, Carter. I ate steak.\",\"I had dinner with Andrew, Emily, Carter. I ate steak.\"\n16025,2020/08/11,I talked to Avery for 46 minutes in the early evening.,I talked to Avery for 46 minutes in the early evening.\n16026,2020/08/11,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n16027,2020/08/12,\"I had toast and cheese for breakfast with Emily, Carter\",\"I had toast and cheese for breakfast with Emily, Carter\"\n16028,2020/08/12,I prepare pasta for lunch.,I prepare pasta for lunch.\n16029,2020/08/12,\"I spent 53 talking to Eva, Piper, Kinsley, Lydia on various topics during lunch hours.\",\"I spent 53 talking to Eva, Piper, Kinsley, Lydia on various topics during lunch hours.\"\n16030,2020/08/12,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n16031,2020/08/13,I went on a date with Hunter on 2020/08/13 at a restaurant,I went on a date with Hunter on 2020/08/13 at a restaurant\n16032,2020/08/13,I did running on 2020/08/13.,I did running on 2020/08/13.\n16033,2020/08/13,\"I had toast and cheese for breakfast with Nevaeh, Rylee, Piper, Olivia, Layla, Avery, Nora, Kinsley, Eva, Claire, Lydia, Piper\",\"I had toast and cheese for breakfast with Nevaeh, Rylee, Piper, Olivia, Layla, Avery, Nora, Kinsley, Eva, Claire, Lydia, Piper\"\n16034,2020/08/13,\"I talked to Avery, Piper, Lydia for 25 minutes late in the evening.\",\"I talked to Avery, Piper, Lydia for 25 minutes late in the evening.\"\n16035,2020/08/13,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n16036,2020/08/14,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n16037,2020/08/14,I ate a burger for dinner.,I ate a burger for dinner.\n16038,2020/08/14,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n16039,2020/08/15,\"I bought some bananas, watermelons, blueberries, raspberries, chocolate milk, mineral water, soda, conditioner, paper towel, mouthwash, toothpaste from the grocery store. I saw Willow, Avery, Jackson, Benjamin at the grocery store.\",\"I bought some bananas, watermelons, blueberries, raspberries, chocolate milk, mineral water, soda, conditioner, paper towel, mouthwash, toothpaste from the grocery store. I saw Willow, Avery, Jackson, Benjamin at the grocery store.\"\n16040,2020/08/15,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n16041,2020/08/15,I had sushi for lunch with Emily,I had sushi for lunch with Emily\n16042,2020/08/15,\"I had dinner with Carter, Kayden, Andrew. I ate fish and chips.\",\"I had dinner with Carter, Kayden, Andrew. I ate fish and chips.\"\n16043,2020/08/15,\"I talked to Kinsley, Lydia, Piper for 47 minutes in the early afternoon.\",\"I talked to Kinsley, Lydia, Piper for 47 minutes in the early afternoon.\"\n16044,2020/08/15,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n16045,2020/08/15,I watched news for 39 minutes on TV today.,I watched news for 39 minutes on TV today.\n16046,2020/08/16,I did hiking on 2020/08/16.,I did hiking on 2020/08/16.\n16047,2020/08/16,I had pancakes for breakfast with Claire,I had pancakes for breakfast with Claire\n16048,2020/08/16,\"I talked to Eva, Nevaeh, Hazel, Rylee for 36 minutes in the early afternoon.\",\"I talked to Eva, Nevaeh, Hazel, Rylee for 36 minutes in the early afternoon.\"\n16049,2020/08/16,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n16050,2020/08/17,\"I had lunch with Lydia, Eva, Piper, Hazel, Olivia. I ate sandwich.\",\"I had lunch with Lydia, Eva, Piper, Hazel, Olivia. I ate sandwich.\"\n16051,2020/08/17,\"I spent 30 talking to Layla, Rylee, Piper on various topics in the morning.\",\"I spent 30 talking to Layla, Rylee, Piper on various topics in the morning.\"\n16052,2020/08/17,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n16053,2020/08/17,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n16054,2020/08/18,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n16055,2020/08/18,I spent 21 talking to Claire on various topics late in the evening.,I spent 21 talking to Claire on various topics late in the evening.\n16056,2020/08/19,I ate a burger for dinner.,I ate a burger for dinner.\n16057,2020/08/19,I spent 10 talking to Rylee on various topics in the morning.,I spent 10 talking to Rylee on various topics in the morning.\n16058,2020/08/19,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n16059,2020/08/20,\"I went grocery shopping with Nevaeh, Rylee. I bought some nectarines, cherres, pears, mineral water, soda, and paper towel, facial wash, mouth wash, shampoo\",\"I went grocery shopping with Nevaeh, Rylee. I bought some nectarines, cherres, pears, mineral water, soda, and paper towel, facial wash, mouth wash, shampoo\"\n16060,2020/08/20,\"I had steak for lunch with Olivia, Lydia, Rylee, Nora\",\"I had steak for lunch with Olivia, Lydia, Rylee, Nora\"\n16061,2020/08/20,\"I had dinner with Willow, Benjamin. I ate tacos.\",\"I had dinner with Willow, Benjamin. I ate tacos.\"\n16062,2020/08/20,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n16063,2020/08/21,I did HIIT on 2020/08/21.,I did HIIT on 2020/08/21.\n16064,2020/08/21,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n16065,2020/08/21,I spent 36 talking to Eva on various topics in the early afternoon.,I spent 36 talking to Eva on various topics in the early afternoon.\n16066,2020/08/21,I spent 47 minutes on a book today.,I spent 47 minutes on a book today.\n16067,2020/08/22,I did hiking on 2020/08/22.,I did hiking on 2020/08/22.\n16068,2020/08/22,\"I spent 27 talking to Piper, Lydia, Hazel, Avery on various topics in the early evening.\",\"I spent 27 talking to Piper, Lydia, Hazel, Avery on various topics in the early evening.\"\n16069,2020/08/22,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n16070,2020/08/23,\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate oatmeal.\",\"I had breakfast with Carter, Andrew, Kayden, Emily. I ate oatmeal.\"\n16071,2020/08/23,\"I spent 51 talking to Lydia, Hazel on various topics late in the evening.\",\"I spent 51 talking to Lydia, Hazel on various topics late in the evening.\"\n16072,2020/08/23,\"I talked to Kinsley, Lydia for 49 minutes in the late afternoon.\",\"I talked to Kinsley, Lydia for 49 minutes in the late afternoon.\"\n16073,2020/08/23,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n16074,2020/08/23,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n16075,2020/08/24,\"I bought some peaches, apricots, bananas, tea, mouth wash, shaving cream from the grocery store. I saw Emily at the grocery store.\",\"I bought some peaches, apricots, bananas, tea, mouth wash, shaving cream from the grocery store. I saw Emily at the grocery store.\"\n16076,2020/08/24,I did swimming on 2020/08/24.,I did swimming on 2020/08/24.\n16077,2020/08/24,I spent 16 minutes watching a movie on TV today.,I spent 16 minutes watching a movie on TV today.\n16078,2020/08/25,I spent 51 talking to Eva on various topics in the late afternoon.,I spent 51 talking to Eva on various topics in the late afternoon.\n16079,2020/08/25,\"I talked to Claire, Avery, Piper, Kinsley for 39 minutes in the early evening.\",\"I talked to Claire, Avery, Piper, Kinsley for 39 minutes in the early evening.\"\n16080,2020/08/25,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n16081,2020/08/25,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n16082,2020/08/26,\"I entertained Emily, Carter, Andrew, Kayden at my place on 2020/08/26 and bake cream-filled bundt cake\",\"I entertained Emily, Carter, Andrew, Kayden at my place on 2020/08/26 and bake cream-filled bundt cake\"\n16083,2020/08/26,I did biking on 2020/08/26.,I did biking on 2020/08/26.\n16084,2020/08/26,\"I had breakfast with Andrew, Carter, Kayden. I ate pancakes.\",\"I had breakfast with Andrew, Carter, Kayden. I ate pancakes.\"\n16085,2020/08/26,I watched a movie for 51 minutes on TV today.,I watched a movie for 51 minutes on TV today.\n16086,2020/08/27,I spent some time meditation on 2020/08/27.,I spent some time meditation on 2020/08/27.\n16087,2020/08/27,I had oatmeal for breakfast with Andrew,I had oatmeal for breakfast with Andrew\n16088,2020/08/28,I did HIIT on 2020/08/28.,I did HIIT on 2020/08/28.\n16089,2020/08/28,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n16090,2020/08/28,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n16091,2020/08/28,\"I talked to Eva, Kinsley, Piper, Lydia for 17 minutes in the early evening.\",\"I talked to Eva, Kinsley, Piper, Lydia for 17 minutes in the early evening.\"\n16092,2020/08/29,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n16093,2020/08/29,I had chinese food for lunch with Jackson,I had chinese food for lunch with Jackson\n16094,2020/08/29,I watched news for 17 minutes on TV today.,I watched news for 17 minutes on TV today.\n16095,2020/08/30,I did weight lifting on 2020/08/30.,I did weight lifting on 2020/08/30.\n16096,2020/08/30,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n16097,2020/08/30,I ate sandwich for dinner.,I ate sandwich for dinner.\n16098,2020/08/30,\"I talked to Avery, Piper, Piper, Hazel for 32 minutes in the morning.\",\"I talked to Avery, Piper, Piper, Hazel for 32 minutes in the morning.\"\n16099,2020/08/30,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n16100,2020/08/31,\"I really enjoyed cooking rigatoni with sausage & peas, turkey shepherd’s pie, lo mein on 2020/08/31 with Benjamin, Jackson, Willow at my place\",\"I really enjoyed cooking rigatoni with sausage & peas, turkey shepherd’s pie, lo mein on 2020/08/31 with Benjamin, Jackson, Willow at my place\"\n16101,2020/08/31,\"I went grocery shopping. I bought some apples, blueberries, pineapple juice, sports drinks, guava juice, and paper towel, toilet paper\",\"I went grocery shopping. I bought some apples, blueberries, pineapple juice, sports drinks, guava juice, and paper towel, toilet paper\"\n16102,2020/08/31,I did running on 2020/08/31.,I did running on 2020/08/31.\n16103,2020/08/31,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n16104,2020/08/31,\"I had lunch with Carter, Emily. I ate tacos.\",\"I had lunch with Carter, Emily. I ate tacos.\"\n16105,2020/08/31,\"I spent 34 talking to Layla, Eva, Nevaeh, Lydia on various topics during lunch hours.\",\"I spent 34 talking to Layla, Eva, Nevaeh, Lydia on various topics during lunch hours.\"\n16106,2020/08/31,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n16107,2020/09/01,I did HIIT on 2020/09/01.,I did HIIT on 2020/09/01.\n16108,2020/09/01,\"I had toast and cheese for breakfast with Kayden, Andrew\",\"I had toast and cheese for breakfast with Kayden, Andrew\"\n16109,2020/09/01,I prepare a burger for dinner.,I prepare a burger for dinner.\n16110,2020/09/01,I talked to Kinsley for 25 minutes in the morning.,I talked to Kinsley for 25 minutes in the morning.\n16111,2020/09/01,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n16112,2020/09/02,\"I had dinner with Andrew, Kayden. I ate chinese food.\",\"I had dinner with Andrew, Kayden. I ate chinese food.\"\n16113,2020/09/02,\"I spent 26 talking to Avery, Claire, Eva on various topics in the morning.\",\"I spent 26 talking to Avery, Claire, Eva on various topics in the morning.\"\n16114,2020/09/02,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n16115,2020/09/02,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n16116,2020/09/03,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n16117,2020/09/03,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n16118,2020/09/03,\"I had dinner with Avery, Jackson, Willow. I ate sandwich.\",\"I had dinner with Avery, Jackson, Willow. I ate sandwich.\"\n16119,2020/09/03,\"I spent 10 talking to Nevaeh, Avery, Claire on various topics in the late afternoon.\",\"I spent 10 talking to Nevaeh, Avery, Claire on various topics in the late afternoon.\"\n16120,2020/09/03,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n16121,2020/09/03,I spent 52 minutes watching news on TV today.,I spent 52 minutes watching news on TV today.\n16122,2020/09/04,\"I had breakfast with Jackson, Avery, Willow. I ate oatmeal.\",\"I had breakfast with Jackson, Avery, Willow. I ate oatmeal.\"\n16123,2020/09/04,I prepare pasta for lunch.,I prepare pasta for lunch.\n16124,2020/09/04,\"I talked to Piper, Hazel for 46 minutes in the early afternoon.\",\"I talked to Piper, Hazel for 46 minutes in the early afternoon.\"\n16125,2020/09/04,\"I talked to Layla, Kinsley, Claire, Nevaeh for 14 minutes in the late afternoon.\",\"I talked to Layla, Kinsley, Claire, Nevaeh for 14 minutes in the late afternoon.\"\n16126,2020/09/05,I spent some time gardening on 2020/09/05.,I spent some time gardening on 2020/09/05.\n16127,2020/09/05,\"I went grocery shopping. I bought some peaches, guava juice, orange juice, mango juice, and shampoo, shaving cream, toothpaste\",\"I went grocery shopping. I bought some peaches, guava juice, orange juice, mango juice, and shampoo, shaving cream, toothpaste\"\n16128,2020/09/05,I did weight lifting on 2020/09/05.,I did weight lifting on 2020/09/05.\n16129,2020/09/05,\"I had breakfast with Piper, Olivia, Lydia, Hazel, Eva, Nora, Claire, Layla, Avery, Rylee, Kinsley, Piper, Nevaeh. I ate pancakes.\",\"I had breakfast with Piper, Olivia, Lydia, Hazel, Eva, Nora, Claire, Layla, Avery, Rylee, Kinsley, Piper, Nevaeh. I ate pancakes.\"\n16130,2020/09/05,I prepare sushi for lunch.,I prepare sushi for lunch.\n16131,2020/09/05,\"I spent 46 talking to Hazel, Avery, Claire on various topics during lunch hours.\",\"I spent 46 talking to Hazel, Avery, Claire on various topics during lunch hours.\"\n16132,2020/09/06,\"I talked to Nora, Eva, Kinsley, Avery for 50 minutes in the morning.\",\"I talked to Nora, Eva, Kinsley, Avery for 50 minutes in the morning.\"\n16133,2020/09/06,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n16134,2020/09/06,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n16135,2020/09/07,\"I had toast and cheese for breakfast with Andrew, Carter, Kayden, Emily\",\"I had toast and cheese for breakfast with Andrew, Carter, Kayden, Emily\"\n16136,2020/09/07,\"I spent 27 talking to Layla, Olivia, Eva, Claire on various topics during lunch hours.\",\"I spent 27 talking to Layla, Olivia, Eva, Claire on various topics during lunch hours.\"\n16137,2020/09/07,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n16138,2020/09/08,I did swimming on 2020/09/08.,I did swimming on 2020/09/08.\n16139,2020/09/08,I prepare tacos for dinner.,I prepare tacos for dinner.\n16140,2020/09/08,\"I spent 42 talking to Avery, Rylee on various topics in the early evening.\",\"I spent 42 talking to Avery, Rylee on various topics in the early evening.\"\n16141,2020/09/08,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n16142,2020/09/09,I did biking on 2020/09/09.,I did biking on 2020/09/09.\n16143,2020/09/09,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n16144,2020/09/09,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n16145,2020/09/09,\"I had a burger for dinner with Layla, Rylee, Kinsley, Olivia, Claire, Piper\",\"I had a burger for dinner with Layla, Rylee, Kinsley, Olivia, Claire, Piper\"\n16146,2020/09/10,I did weight lifting on 2020/09/10.,I did weight lifting on 2020/09/10.\n16147,2020/09/10,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n16148,2020/09/10,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n16149,2020/09/10,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n16150,2020/09/10,\"I spent 23 talking to Eva, Avery, Layla on various topics in the morning.\",\"I spent 23 talking to Eva, Avery, Layla on various topics in the morning.\"\n16151,2020/09/10,I spent 33 minutes reading news today.,I spent 33 minutes reading news today.\n16152,2020/09/10,I spent 16 minutes watching a tv series on TV today.,I spent 16 minutes watching a tv series on TV today.\n16153,2020/09/11,\"I had cereals for breakfast with Hazel, Eva, Layla\",\"I had cereals for breakfast with Hazel, Eva, Layla\"\n16154,2020/09/11,I prepare pasta for lunch.,I prepare pasta for lunch.\n16155,2020/09/11,\"I spent 49 talking to Nora, Piper, Rylee, Nevaeh on various topics in the early evening.\",\"I spent 49 talking to Nora, Piper, Rylee, Nevaeh on various topics in the early evening.\"\n16156,2020/09/11,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n16157,2020/09/12,I did swimming on 2020/09/12.,I did swimming on 2020/09/12.\n16158,2020/09/12,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n16159,2020/09/12,\"I spent 28 talking to Nevaeh, Claire, Lydia, Nora on various topics in the early afternoon.\",\"I spent 28 talking to Nevaeh, Claire, Lydia, Nora on various topics in the early afternoon.\"\n16160,2020/09/13,I did swimming on 2020/09/13.,I did swimming on 2020/09/13.\n16161,2020/09/13,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n16162,2020/09/13,I talked to Nora for 16 minutes during lunch hours.,I talked to Nora for 16 minutes during lunch hours.\n16163,2020/09/13,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n16164,2020/09/14,\"On 2020/09/14, I took Savannah on a date to a boba shop\",\"On 2020/09/14, I took Savannah on a date to a boba shop\"\n16165,2020/09/14,I had chinese food for dinner with Kayden,I had chinese food for dinner with Kayden\n16166,2020/09/14,I talked to Olivia for 24 minutes late in the evening.,I talked to Olivia for 24 minutes late in the evening.\n16167,2020/09/15,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n16168,2020/09/15,\"I had dinner with Carter, Andrew, Kayden, Emily. I ate pasta.\",\"I had dinner with Carter, Andrew, Kayden, Emily. I ate pasta.\"\n16169,2020/09/15,\"I spent 7 talking to Hazel, Piper, Lydia, Nevaeh on various topics in the late afternoon.\",\"I spent 7 talking to Hazel, Piper, Lydia, Nevaeh on various topics in the late afternoon.\"\n16170,2020/09/15,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n16171,2020/09/16,\"I spent time learning a language on 2020/09/16 with Andrew, Kayden, Emily.\",\"I spent time learning a language on 2020/09/16 with Andrew, Kayden, Emily.\"\n16172,2020/09/16,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n16173,2020/09/16,\"I spent 20 talking to Olivia, Piper, Eva on various topics late in the evening.\",\"I spent 20 talking to Olivia, Piper, Eva on various topics late in the evening.\"\n16174,2020/09/16,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n16175,2020/09/17,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n16176,2020/09/17,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n16177,2020/09/17,\"I spent 26 talking to Lydia, Olivia, Hazel, Layla on various topics in the early evening.\",\"I spent 26 talking to Lydia, Olivia, Hazel, Layla on various topics in the early evening.\"\n16178,2020/09/17,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n16179,2020/09/18,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n16180,2020/09/18,I prepare indian food for dinner.,I prepare indian food for dinner.\n16181,2020/09/18,\"I spent 54 talking to Lydia, Claire, Nevaeh on various topics in the late afternoon.\",\"I spent 54 talking to Lydia, Claire, Nevaeh on various topics in the late afternoon.\"\n16182,2020/09/18,I spent 29 minutes reading a book today.,I spent 29 minutes reading a book today.\n16183,2020/09/19,\"I talked to Rylee, Avery, Layla for 45 minutes in the late afternoon.\",\"I talked to Rylee, Avery, Layla for 45 minutes in the late afternoon.\"\n16184,2020/09/20,I did hiking on 2020/09/20.,I did hiking on 2020/09/20.\n16185,2020/09/20,I ate indian food for lunch.,I ate indian food for lunch.\n16186,2020/09/20,I ate sandwich for dinner.,I ate sandwich for dinner.\n16187,2020/09/20,I spent 36 talking to Rylee on various topics during lunch hours.,I spent 36 talking to Rylee on various topics during lunch hours.\n16188,2020/09/21,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n16189,2020/09/21,\"I spent 14 talking to Lydia, Avery, Eva on various topics during lunch hours.\",\"I spent 14 talking to Lydia, Avery, Eva on various topics during lunch hours.\"\n16190,2020/09/21,I watched a documentary for 46 minutes on TV today.,I watched a documentary for 46 minutes on TV today.\n16191,2020/09/22,I did HIIT on 2020/09/22.,I did HIIT on 2020/09/22.\n16192,2020/09/22,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n16193,2020/09/22,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n16194,2020/09/22,I talked to Kinsley for 11 minutes during lunch hours.,I talked to Kinsley for 11 minutes during lunch hours.\n16195,2020/09/22,I watched a movie for 55 minutes on TV today.,I watched a movie for 55 minutes on TV today.\n16196,2020/09/23,\"I spent time meditation on 2020/09/23 with Rylee, Nevaeh.\",\"I spent time meditation on 2020/09/23 with Rylee, Nevaeh.\"\n16197,2020/09/23,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n16198,2020/09/23,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n16199,2020/09/23,\"I spent 28 talking to Rylee, Kinsley, Piper on various topics in the morning.\",\"I spent 28 talking to Rylee, Kinsley, Piper on various topics in the morning.\"\n16200,2020/09/23,\"I spent 20 talking to Piper, Rylee, Kinsley, Olivia on various topics in the morning.\",\"I spent 20 talking to Piper, Rylee, Kinsley, Olivia on various topics in the morning.\"\n16201,2020/09/23,I watched a tv series for 36 minutes on TV today.,I watched a tv series for 36 minutes on TV today.\n16202,2020/09/24,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n16203,2020/09/24,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n16204,2020/09/24,\"I talked to Piper, Rylee for 14 minutes during lunch hours.\",\"I talked to Piper, Rylee for 14 minutes during lunch hours.\"\n16205,2020/09/24,I spent 26 minutes on a book today.,I spent 26 minutes on a book today.\n16206,2020/09/25,\"I had lunch with Avery, Claire, Layla, Rylee, Piper, Nora. I ate fish and chips.\",\"I had lunch with Avery, Claire, Layla, Rylee, Piper, Nora. I ate fish and chips.\"\n16207,2020/09/25,I prepare steak for dinner.,I prepare steak for dinner.\n16208,2020/09/25,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n16209,2020/09/26,I did swimming on 2020/09/26.,I did swimming on 2020/09/26.\n16210,2020/09/26,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n16211,2020/09/26,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n16212,2020/09/27,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n16213,2020/09/27,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n16214,2020/09/27,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n16215,2020/09/28,I went for an annual dental cleaning and checkup on 2020/09/28 at the university hospital.,I went for an annual dental cleaning and checkup on 2020/09/28 at the university hospital.\n16216,2020/09/28,\"I entertained Jackson, Avery, Benjamin, Willow at my place on 2020/09/28 and cook chinese broccoli with oyster sauce, vietnamese coffee, so-easy sloppy joes\",\"I entertained Jackson, Avery, Benjamin, Willow at my place on 2020/09/28 and cook chinese broccoli with oyster sauce, vietnamese coffee, so-easy sloppy joes\"\n16217,2020/09/28,I did biking on 2020/09/28.,I did biking on 2020/09/28.\n16218,2020/09/28,I prepare a burger for dinner.,I prepare a burger for dinner.\n16219,2020/09/28,I spent 14 talking to Layla on various topics in the early evening.,I spent 14 talking to Layla on various topics in the early evening.\n16220,2020/09/28,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n16221,2020/09/29,\"I bought some raspberries, milk, paper towel, shampoo from the grocery store. I saw Emily, Kayden at the grocery store.\",\"I bought some raspberries, milk, paper towel, shampoo from the grocery store. I saw Emily, Kayden at the grocery store.\"\n16222,2020/09/29,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n16223,2020/09/29,\"I spent 38 talking to Avery, Nevaeh, Olivia on various topics during lunch hours.\",\"I spent 38 talking to Avery, Nevaeh, Olivia on various topics during lunch hours.\"\n16224,2020/09/29,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n16225,2020/09/30,\"I had dinner with Andrew, Emily, Kayden. I ate fish and chips.\",\"I had dinner with Andrew, Emily, Kayden. I ate fish and chips.\"\n16226,2020/09/30,\"I talked to Kinsley, Eva, Lydia for 43 minutes in the morning.\",\"I talked to Kinsley, Eva, Lydia for 43 minutes in the morning.\"\n16227,2020/09/30,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n16228,2020/10/01,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n16229,2020/10/01,I prepare steak for dinner.,I prepare steak for dinner.\n16230,2020/10/01,I talked to Piper for 46 minutes in the early afternoon.,I talked to Piper for 46 minutes in the early afternoon.\n16231,2020/10/02,\"I bought some clementines, pineapples, mandarins, apples, chocolate milk, toothbrush from the grocery store. I saw Carter, Emily at the grocery store.\",\"I bought some clementines, pineapples, mandarins, apples, chocolate milk, toothbrush from the grocery store. I saw Carter, Emily at the grocery store.\"\n16232,2020/10/02,I did weight lifting on 2020/10/02.,I did weight lifting on 2020/10/02.\n16233,2020/10/02,\"I had tacos for dinner with Avery, Jackson, Benjamin\",\"I had tacos for dinner with Avery, Jackson, Benjamin\"\n16234,2020/10/02,\"I talked to Avery, Eva, Rylee, Olivia for 43 minutes in the early afternoon.\",\"I talked to Avery, Eva, Rylee, Olivia for 43 minutes in the early afternoon.\"\n16235,2020/10/02,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n16236,2020/10/02,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n16237,2020/10/03,\"I spent 47 talking to Olivia, Nevaeh, Nora on various topics in the late afternoon.\",\"I spent 47 talking to Olivia, Nevaeh, Nora on various topics in the late afternoon.\"\n16238,2020/10/04,\"On 2020/10/04, I took Natalia on a date to a park\",\"On 2020/10/04, I took Natalia on a date to a park\"\n16239,2020/10/04,I did swimming on 2020/10/04.,I did swimming on 2020/10/04.\n16240,2020/10/04,\"I had cereals for breakfast with Avery, Jackson\",\"I had cereals for breakfast with Avery, Jackson\"\n16241,2020/10/04,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n16242,2020/10/04,\"I talked to Nora, Piper, Eva, Claire for 34 minutes late in the evening.\",\"I talked to Nora, Piper, Eva, Claire for 34 minutes late in the evening.\"\n16243,2020/10/04,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n16244,2020/10/05,\"I bought some guava, oranges, clementines, chocolate milk, guava juice, sports drinks, toilet paper, toothbrush, toothpaste online.\",\"I bought some guava, oranges, clementines, chocolate milk, guava juice, sports drinks, toilet paper, toothbrush, toothpaste online.\"\n16245,2020/10/05,I did hiking on 2020/10/05.,I did hiking on 2020/10/05.\n16246,2020/10/05,I had lunch with Carter. I ate a burger.,I had lunch with Carter. I ate a burger.\n16247,2020/10/05,\"I had dinner with Emily, Andrew, Kayden. I ate a burger.\",\"I had dinner with Emily, Andrew, Kayden. I ate a burger.\"\n16248,2020/10/05,\"I talked to Nevaeh, Kinsley, Hazel, Rylee for 24 minutes in the early afternoon.\",\"I talked to Nevaeh, Kinsley, Hazel, Rylee for 24 minutes in the early afternoon.\"\n16249,2020/10/05,\"I spent 54 talking to Piper, Nevaeh, Nora on various topics in the early afternoon.\",\"I spent 54 talking to Piper, Nevaeh, Nora on various topics in the early afternoon.\"\n16250,2020/10/06,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n16251,2020/10/06,\"I had fish and chips for dinner with Olivia, Hazel, Piper, Claire, Piper, Layla, Nevaeh, Kinsley\",\"I had fish and chips for dinner with Olivia, Hazel, Piper, Claire, Piper, Layla, Nevaeh, Kinsley\"\n16252,2020/10/07,\"I had toast and cheese for breakfast with Andrew, Kayden, Emily\",\"I had toast and cheese for breakfast with Andrew, Kayden, Emily\"\n16253,2020/10/07,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n16254,2020/10/07,\"I had steak for dinner with Eva, Nevaeh\",\"I had steak for dinner with Eva, Nevaeh\"\n16255,2020/10/08,I prepare pasta for dinner.,I prepare pasta for dinner.\n16256,2020/10/08,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n16257,2020/10/09,\"I entertained Eva, Rylee, Lydia at my place on 2020/10/09 and cook chicken and gravy, indian red lentil\",\"I entertained Eva, Rylee, Lydia at my place on 2020/10/09 and cook chicken and gravy, indian red lentil\"\n16258,2020/10/09,I prepare sushi for lunch.,I prepare sushi for lunch.\n16259,2020/10/09,I talked to Nora for 11 minutes in the morning.,I talked to Nora for 11 minutes in the morning.\n16260,2020/10/09,\"I spent 13 talking to Hazel, Claire, Avery on various topics in the early afternoon.\",\"I spent 13 talking to Hazel, Claire, Avery on various topics in the early afternoon.\"\n16261,2020/10/09,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n16262,2020/10/10,I did weight lifting on 2020/10/10.,I did weight lifting on 2020/10/10.\n16263,2020/10/10,I ate a burger for lunch.,I ate a burger for lunch.\n16264,2020/10/10,\"I spent 25 talking to Eva, Lydia on various topics during lunch hours.\",\"I spent 25 talking to Eva, Lydia on various topics during lunch hours.\"\n16265,2020/10/11,I did hiking on 2020/10/11.,I did hiking on 2020/10/11.\n16266,2020/10/11,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n16267,2020/10/11,I spent 8 minutes watching a tv series on TV today.,I spent 8 minutes watching a tv series on TV today.\n16268,2020/10/12,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n16269,2020/10/12,I ate sandwich for dinner.,I ate sandwich for dinner.\n16270,2020/10/12,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n16271,2020/10/12,I spent 24 minutes watching a documentary on TV today.,I spent 24 minutes watching a documentary on TV today.\n16272,2020/10/13,\"I went grocery shopping with Emily. I bought some pears, guava juice, and toothpaste, conditioner, body lotion, shaving cream\",\"I went grocery shopping with Emily. I bought some pears, guava juice, and toothpaste, conditioner, body lotion, shaving cream\"\n16273,2020/10/13,I prepare indian food for lunch.,I prepare indian food for lunch.\n16274,2020/10/13,\"I talked to Piper, Hazel for 42 minutes late in the evening.\",\"I talked to Piper, Hazel for 42 minutes late in the evening.\"\n16275,2020/10/13,\"I spent 40 talking to Nevaeh, Claire, Piper on various topics in the late afternoon.\",\"I spent 40 talking to Nevaeh, Claire, Piper on various topics in the late afternoon.\"\n16276,2020/10/13,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n16277,2020/10/14,I did biking on 2020/10/14.,I did biking on 2020/10/14.\n16278,2020/10/14,\"I spent 44 talking to Lydia, Hazel, Avery, Kinsley on various topics in the morning.\",\"I spent 44 talking to Lydia, Hazel, Avery, Kinsley on various topics in the morning.\"\n16279,2020/10/14,\"I talked to Kinsley, Avery, Rylee for 22 minutes during lunch hours.\",\"I talked to Kinsley, Avery, Rylee for 22 minutes during lunch hours.\"\n16280,2020/10/14,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n16281,2020/10/15,I did HIIT on 2020/10/15.,I did HIIT on 2020/10/15.\n16282,2020/10/15,\"I had breakfast with Avery, Benjamin. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Benjamin. I ate peanut-butter-jam.\"\n16283,2020/10/16,\"I went grocery shopping. I bought some blackberries, clementines, mangos, tea, pineapple juice, chocolate milk, guava juice, and toothbrush, toothpaste, shaving cream, mouth wash\",\"I went grocery shopping. I bought some blackberries, clementines, mangos, tea, pineapple juice, chocolate milk, guava juice, and toothbrush, toothpaste, shaving cream, mouth wash\"\n16284,2020/10/16,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n16285,2020/10/16,\"I talked to Kinsley, Nora, Nevaeh for 29 minutes in the late afternoon.\",\"I talked to Kinsley, Nora, Nevaeh for 29 minutes in the late afternoon.\"\n16286,2020/10/16,\"I spent 21 talking to Layla, Hazel, Rylee, Claire on various topics in the early afternoon.\",\"I spent 21 talking to Layla, Hazel, Rylee, Claire on various topics in the early afternoon.\"\n16287,2020/10/17,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n16288,2020/10/17,I watched a documentary for 18 minutes on TV today.,I watched a documentary for 18 minutes on TV today.\n16289,2020/10/18,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n16290,2020/10/18,\"I spent 47 talking to Kinsley, Nevaeh, Eva on various topics in the morning.\",\"I spent 47 talking to Kinsley, Nevaeh, Eva on various topics in the morning.\"\n16291,2020/10/18,\"I spent 54 talking to Nora, Claire on various topics in the early evening.\",\"I spent 54 talking to Nora, Claire on various topics in the early evening.\"\n16292,2020/10/19,\"On 2020/10/19, I took Alexander on a date to a coffee Shop\",\"On 2020/10/19, I took Alexander on a date to a coffee Shop\"\n16293,2020/10/19,\"I had breakfast with Carter, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Andrew. I ate eggs, sausages, and bread.\"\n16294,2020/10/19,\"I talked to Rylee, Piper, Claire, Piper for 51 minutes late in the evening.\",\"I talked to Rylee, Piper, Claire, Piper for 51 minutes late in the evening.\"\n16295,2020/10/19,I spent 22 minutes on news today.,I spent 22 minutes on news today.\n16296,2020/10/19,I watched news for 18 minutes on TV today.,I watched news for 18 minutes on TV today.\n16297,2020/10/20,\"I bought some mandarins, nectarines, peaches, sports drinks, chocolate milk, orange juice, conditioner online.\",\"I bought some mandarins, nectarines, peaches, sports drinks, chocolate milk, orange juice, conditioner online.\"\n16298,2020/10/20,\"I talked to Eva, Claire for 20 minutes in the early afternoon.\",\"I talked to Eva, Claire for 20 minutes in the early afternoon.\"\n16299,2020/10/20,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n16300,2020/10/20,I spent 40 minutes watching a tv series on TV today.,I spent 40 minutes watching a tv series on TV today.\n16301,2020/10/21,I had cereals for breakfast with Eva,I had cereals for breakfast with Eva\n16302,2020/10/21,\"I had lunch with Willow, Benjamin, Avery. I ate indian food.\",\"I had lunch with Willow, Benjamin, Avery. I ate indian food.\"\n16303,2020/10/21,I prepare sushi for dinner.,I prepare sushi for dinner.\n16304,2020/10/21,\"I spent 30 talking to Olivia, Rylee, Claire, Kinsley on various topics late in the evening.\",\"I spent 30 talking to Olivia, Rylee, Claire, Kinsley on various topics late in the evening.\"\n16305,2020/10/21,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n16306,2020/10/22,I ate steak for dinner.,I ate steak for dinner.\n16307,2020/10/22,I talked to Layla for 52 minutes in the late afternoon.,I talked to Layla for 52 minutes in the late afternoon.\n16308,2020/10/22,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n16309,2020/10/23,I did running on 2020/10/23.,I did running on 2020/10/23.\n16310,2020/10/23,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n16311,2020/10/23,\"I talked to Lydia, Layla for 25 minutes in the morning.\",\"I talked to Lydia, Layla for 25 minutes in the morning.\"\n16312,2020/10/23,\"I spent 51 talking to Nora, Eva, Olivia on various topics in the early afternoon.\",\"I spent 51 talking to Nora, Eva, Olivia on various topics in the early afternoon.\"\n16313,2020/10/23,I spent 48 minutes on social media today.,I spent 48 minutes on social media today.\n16314,2020/10/24,I did biking on 2020/10/24.,I did biking on 2020/10/24.\n16315,2020/10/24,I talked to Layla for 12 minutes in the early evening.,I talked to Layla for 12 minutes in the early evening.\n16316,2020/10/24,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n16317,2020/10/24,I spent 20 minutes watching a documentary on TV today.,I spent 20 minutes watching a documentary on TV today.\n16318,2020/10/25,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n16319,2020/10/25,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n16320,2020/10/25,\"I talked to Piper, Nora, Lydia, Rylee for 54 minutes late in the evening.\",\"I talked to Piper, Nora, Lydia, Rylee for 54 minutes late in the evening.\"\n16321,2020/10/25,I spent 7 minutes reading a book today.,I spent 7 minutes reading a book today.\n16322,2020/10/26,\"I had lunch with Emily, Kayden, Carter, Andrew. I ate tacos.\",\"I had lunch with Emily, Kayden, Carter, Andrew. I ate tacos.\"\n16323,2020/10/26,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n16324,2020/10/27,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n16325,2020/10/27,\"I talked to Nevaeh, Layla, Piper, Avery for 29 minutes in the early evening.\",\"I talked to Nevaeh, Layla, Piper, Avery for 29 minutes in the early evening.\"\n16326,2020/10/28,I did biking on 2020/10/28.,I did biking on 2020/10/28.\n16327,2020/10/28,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n16328,2020/10/28,\"I talked to Nevaeh, Piper, Lydia, Nora for 7 minutes in the late afternoon.\",\"I talked to Nevaeh, Piper, Lydia, Nora for 7 minutes in the late afternoon.\"\n16329,2020/10/28,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n16330,2020/10/28,I spent 14 minutes watching a documentary on TV today.,I spent 14 minutes watching a documentary on TV today.\n16331,2020/10/29,\"On 2020/10/29, I took Hunter on a date to a park\",\"On 2020/10/29, I took Hunter on a date to a park\"\n16332,2020/10/29,\"I talked to Rylee, Eva for 34 minutes in the morning.\",\"I talked to Rylee, Eva for 34 minutes in the morning.\"\n16333,2020/10/29,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n16334,2020/10/30,I did biking on 2020/10/30.,I did biking on 2020/10/30.\n16335,2020/10/30,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n16336,2020/10/30,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n16337,2020/10/30,\"I spent 12 talking to Nora, Olivia, Rylee on various topics in the early evening.\",\"I spent 12 talking to Nora, Olivia, Rylee on various topics in the early evening.\"\n16338,2020/10/30,\"I talked to Olivia, Nora, Rylee for 5 minutes during lunch hours.\",\"I talked to Olivia, Nora, Rylee for 5 minutes during lunch hours.\"\n16339,2020/10/30,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n16340,2020/10/30,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n16341,2020/10/31,I did weight lifting on 2020/10/31.,I did weight lifting on 2020/10/31.\n16342,2020/10/31,I ate sandwich for lunch.,I ate sandwich for lunch.\n16343,2020/10/31,\"I talked to Olivia, Avery, Piper, Eva for 25 minutes in the morning.\",\"I talked to Olivia, Avery, Piper, Eva for 25 minutes in the morning.\"\n16344,2020/10/31,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n16345,2020/11/01,\"I went grocery shopping. I bought some nectarines, strawberries, oranges, apricots, soda, guava juice, sports drinks, pineapple juice, and toilet paper\",\"I went grocery shopping. I bought some nectarines, strawberries, oranges, apricots, soda, guava juice, sports drinks, pineapple juice, and toilet paper\"\n16346,2020/11/01,\"I had breakfast with Avery, Jackson, Benjamin, Willow. I ate toast and cheese.\",\"I had breakfast with Avery, Jackson, Benjamin, Willow. I ate toast and cheese.\"\n16347,2020/11/01,I ate tacos for lunch.,I ate tacos for lunch.\n16348,2020/11/01,I spent 53 talking to Avery on various topics in the morning.,I spent 53 talking to Avery on various topics in the morning.\n16349,2020/11/02,I went on a date with Evelyn on 2020/11/02 at a boba shop,I went on a date with Evelyn on 2020/11/02 at a boba shop\n16350,2020/11/02,I did weight lifting on 2020/11/02.,I did weight lifting on 2020/11/02.\n16351,2020/11/02,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n16352,2020/11/02,I ate a burger for lunch.,I ate a burger for lunch.\n16353,2020/11/02,\"I talked to Kinsley, Lydia, Piper for 32 minutes in the early afternoon.\",\"I talked to Kinsley, Lydia, Piper for 32 minutes in the early afternoon.\"\n16354,2020/11/02,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n16355,2020/11/02,I spent 49 minutes watching a movie on TV today.,I spent 49 minutes watching a movie on TV today.\n16356,2020/11/03,I did hiking on 2020/11/03.,I did hiking on 2020/11/03.\n16357,2020/11/03,\"I had lunch with Claire, Kinsley, Avery, Nora, Olivia, Rylee, Piper, Hazel. I ate sushi.\",\"I had lunch with Claire, Kinsley, Avery, Nora, Olivia, Rylee, Piper, Hazel. I ate sushi.\"\n16358,2020/11/03,\"I talked to Olivia, Kinsley for 47 minutes during lunch hours.\",\"I talked to Olivia, Kinsley for 47 minutes during lunch hours.\"\n16359,2020/11/03,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n16360,2020/11/04,\"I spent time learning a language on 2020/11/04 with Emily, Andrew, Kayden.\",\"I spent time learning a language on 2020/11/04 with Emily, Andrew, Kayden.\"\n16361,2020/11/04,\"I had sushi for dinner with Andrew, Carter\",\"I had sushi for dinner with Andrew, Carter\"\n16362,2020/11/04,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n16363,2020/11/05,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n16364,2020/11/05,\"I had tacos for lunch with Benjamin, Jackson, Avery\",\"I had tacos for lunch with Benjamin, Jackson, Avery\"\n16365,2020/11/05,\"I had fish and chips for dinner with Andrew, Kayden, Emily\",\"I had fish and chips for dinner with Andrew, Kayden, Emily\"\n16366,2020/11/05,\"I talked to Eva, Hazel, Avery, Claire for 9 minutes in the early afternoon.\",\"I talked to Eva, Hazel, Avery, Claire for 9 minutes in the early afternoon.\"\n16367,2020/11/05,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n16368,2020/11/05,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n16369,2020/11/06,I did HIIT on 2020/11/06.,I did HIIT on 2020/11/06.\n16370,2020/11/06,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n16371,2020/11/07,\"I spent time learning a language on 2020/11/07 with Jackson, Avery.\",\"I spent time learning a language on 2020/11/07 with Jackson, Avery.\"\n16372,2020/11/07,\"I had sandwich for lunch with Emily, Andrew, Kayden\",\"I had sandwich for lunch with Emily, Andrew, Kayden\"\n16373,2020/11/07,\"I spent 44 talking to Lydia, Olivia, Layla, Piper on various topics in the early evening.\",\"I spent 44 talking to Lydia, Olivia, Layla, Piper on various topics in the early evening.\"\n16374,2020/11/07,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n16375,2020/11/08,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n16376,2020/11/08,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n16377,2020/11/08,I spent 47 minutes watching a tv series on TV today.,I spent 47 minutes watching a tv series on TV today.\n16378,2020/11/09,\"I bought some nectarines, watermelons, guava juice, orange juice, paper towel, conditioner, mouth wash online.\",\"I bought some nectarines, watermelons, guava juice, orange juice, paper towel, conditioner, mouth wash online.\"\n16379,2020/11/09,I did HIIT on 2020/11/09.,I did HIIT on 2020/11/09.\n16380,2020/11/09,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n16381,2020/11/09,I ate a burger for lunch.,I ate a burger for lunch.\n16382,2020/11/09,\"I talked to Piper, Hazel, Eva for 55 minutes in the morning.\",\"I talked to Piper, Hazel, Eva for 55 minutes in the morning.\"\n16383,2020/11/09,I spent 30 talking to Rylee on various topics in the early evening.,I spent 30 talking to Rylee on various topics in the early evening.\n16384,2020/11/09,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n16385,2020/11/10,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n16386,2020/11/10,\"I had steak for lunch with Carter, Kayden, Andrew, Emily\",\"I had steak for lunch with Carter, Kayden, Andrew, Emily\"\n16387,2020/11/10,\"I had dinner with Layla, Nevaeh, Piper, Olivia, Hazel, Rylee, Claire. I ate chinese food.\",\"I had dinner with Layla, Nevaeh, Piper, Olivia, Hazel, Rylee, Claire. I ate chinese food.\"\n16388,2020/11/10,I spent 54 minutes on social media today.,I spent 54 minutes on social media today.\n16389,2020/11/10,I watched news for 42 minutes on TV today.,I watched news for 42 minutes on TV today.\n16390,2020/11/11,\"I bought some mandarins, nectarines, oranges, milk, soda, body lotion, facial wash, shampoo, shaving cream from the grocery store. I saw Carter at the grocery store.\",\"I bought some mandarins, nectarines, oranges, milk, soda, body lotion, facial wash, shampoo, shaving cream from the grocery store. I saw Carter at the grocery store.\"\n16391,2020/11/11,\"I had breakfast with Kinsley, Hazel, Layla, Lydia, Olivia, Nora, Eva, Rylee, Piper. I ate oatmeal.\",\"I had breakfast with Kinsley, Hazel, Layla, Lydia, Olivia, Nora, Eva, Rylee, Piper. I ate oatmeal.\"\n16392,2020/11/11,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n16393,2020/11/11,\"I had sandwich for dinner with Kayden, Andrew\",\"I had sandwich for dinner with Kayden, Andrew\"\n16394,2020/11/11,I spent 7 minutes reading social media today.,I spent 7 minutes reading social media today.\n16395,2020/11/12,\"I had lunch with Kinsley, Eva, Avery, Piper, Piper, Layla, Nora, Rylee, Nevaeh, Lydia, Olivia, Claire. I ate chinese food.\",\"I had lunch with Kinsley, Eva, Avery, Piper, Piper, Layla, Nora, Rylee, Nevaeh, Lydia, Olivia, Claire. I ate chinese food.\"\n16396,2020/11/12,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n16397,2020/11/13,I went on a date with Mason on 2020/11/13 at a boba shop,I went on a date with Mason on 2020/11/13 at a boba shop\n16398,2020/11/13,I did HIIT on 2020/11/13.,I did HIIT on 2020/11/13.\n16399,2020/11/13,\"I had lunch with Emily, Andrew. I ate sushi.\",\"I had lunch with Emily, Andrew. I ate sushi.\"\n16400,2020/11/13,\"I talked to Rylee, Claire for 14 minutes in the late afternoon.\",\"I talked to Rylee, Claire for 14 minutes in the late afternoon.\"\n16401,2020/11/13,\"I spent 36 talking to Layla, Eva, Avery on various topics late in the evening.\",\"I spent 36 talking to Layla, Eva, Avery on various topics late in the evening.\"\n16402,2020/11/13,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n16403,2020/11/14,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n16404,2020/11/14,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n16405,2020/11/14,I spent 48 minutes on news today.,I spent 48 minutes on news today.\n16406,2020/11/14,I spent 19 minutes watching a movie on TV today.,I spent 19 minutes watching a movie on TV today.\n16407,2020/11/15,\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Carter, Emily\",\"I had peanut-butter-jam for breakfast with Andrew, Kayden, Carter, Emily\"\n16408,2020/11/15,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n16409,2020/11/15,I spent 9 talking to Layla on various topics in the morning.,I spent 9 talking to Layla on various topics in the morning.\n16410,2020/11/16,\"I went grocery shopping with Andrew. I bought some strawberries, tea, milk, and facial wash\",\"I went grocery shopping with Andrew. I bought some strawberries, tea, milk, and facial wash\"\n16411,2020/11/17,\"I had chinese food for dinner with Jackson, Willow, Benjamin\",\"I had chinese food for dinner with Jackson, Willow, Benjamin\"\n16412,2020/11/17,I talked to Rylee for 49 minutes during lunch hours.,I talked to Rylee for 49 minutes during lunch hours.\n16413,2020/11/18,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n16414,2020/11/18,\"I talked to Rylee, Nevaeh, Claire for 25 minutes in the early afternoon.\",\"I talked to Rylee, Nevaeh, Claire for 25 minutes in the early afternoon.\"\n16415,2020/11/18,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n16416,2020/11/19,I did biking on 2020/11/19.,I did biking on 2020/11/19.\n16417,2020/11/19,I ate tacos for dinner.,I ate tacos for dinner.\n16418,2020/11/19,\"I spent 16 talking to Avery, Piper on various topics in the morning.\",\"I spent 16 talking to Avery, Piper on various topics in the morning.\"\n16419,2020/11/20,\"I had a burger for lunch with Emily, Kayden, Andrew\",\"I had a burger for lunch with Emily, Kayden, Andrew\"\n16420,2020/11/20,\"I talked to Claire, Rylee, Nora, Lydia for 32 minutes in the morning.\",\"I talked to Claire, Rylee, Nora, Lydia for 32 minutes in the morning.\"\n16421,2020/11/20,I talked to Rylee for 34 minutes during lunch hours.,I talked to Rylee for 34 minutes during lunch hours.\n16422,2020/11/20,I spent 51 minutes on news today.,I spent 51 minutes on news today.\n16423,2020/11/20,I spent 33 minutes watching a tv series on TV today.,I spent 33 minutes watching a tv series on TV today.\n16424,2020/11/21,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n16425,2020/11/21,I ate steak for dinner.,I ate steak for dinner.\n16426,2020/11/21,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n16427,2020/11/22,I went on a date with Easton on 2020/11/22 at a restaurant,I went on a date with Easton on 2020/11/22 at a restaurant\n16428,2020/11/22,I did weight lifting on 2020/11/22.,I did weight lifting on 2020/11/22.\n16429,2020/11/22,I ate sandwich for lunch.,I ate sandwich for lunch.\n16430,2020/11/22,I talked to Claire for 18 minutes in the early afternoon.,I talked to Claire for 18 minutes in the early afternoon.\n16431,2020/11/22,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n16432,2020/11/22,I watched news for 15 minutes on TV today.,I watched news for 15 minutes on TV today.\n16433,2020/11/23,I did swimming on 2020/11/23.,I did swimming on 2020/11/23.\n16434,2020/11/23,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n16435,2020/11/23,I prepare steak for dinner.,I prepare steak for dinner.\n16436,2020/11/23,\"I talked to Olivia, Nevaeh for 12 minutes in the late afternoon.\",\"I talked to Olivia, Nevaeh for 12 minutes in the late afternoon.\"\n16437,2020/11/24,I did weight lifting on 2020/11/24.,I did weight lifting on 2020/11/24.\n16438,2020/11/24,\"I had breakfast with Carter, Emily, Andrew. I ate cereals.\",\"I had breakfast with Carter, Emily, Andrew. I ate cereals.\"\n16439,2020/11/24,\"I had sushi for dinner with Nevaeh, Nora, Rylee, Hazel, Claire, Kinsley, Avery, Olivia, Piper, Layla, Lydia, Piper\",\"I had sushi for dinner with Nevaeh, Nora, Rylee, Hazel, Claire, Kinsley, Avery, Olivia, Piper, Layla, Lydia, Piper\"\n16440,2020/11/24,\"I spent 36 talking to Lydia, Rylee on various topics late in the evening.\",\"I spent 36 talking to Lydia, Rylee on various topics late in the evening.\"\n16441,2020/11/24,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n16442,2020/11/24,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n16443,2020/11/25,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n16444,2020/11/25,I ate a burger for dinner.,I ate a burger for dinner.\n16445,2020/11/25,\"I talked to Claire, Olivia for 17 minutes in the early afternoon.\",\"I talked to Claire, Olivia for 17 minutes in the early afternoon.\"\n16446,2020/11/25,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n16447,2020/11/26,\"I bought some blueberries, sports drinks, pineapple juice, tea, orange juice, mouthwash, body lotion online.\",\"I bought some blueberries, sports drinks, pineapple juice, tea, orange juice, mouthwash, body lotion online.\"\n16448,2020/11/26,I did weight lifting on 2020/11/26.,I did weight lifting on 2020/11/26.\n16449,2020/11/26,I ate cereals for breakfast.,I ate cereals for breakfast.\n16450,2020/11/26,\"I had dinner with Olivia, Nora, Rylee, Kinsley, Piper, Piper, Hazel, Layla, Eva, Avery. I ate fish and chips.\",\"I had dinner with Olivia, Nora, Rylee, Kinsley, Piper, Piper, Hazel, Layla, Eva, Avery. I ate fish and chips.\"\n16451,2020/11/26,\"I spent 9 talking to Piper, Kinsley, Layla on various topics in the late afternoon.\",\"I spent 9 talking to Piper, Kinsley, Layla on various topics in the late afternoon.\"\n16452,2020/11/26,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n16453,2020/11/27,I did hiking on 2020/11/27.,I did hiking on 2020/11/27.\n16454,2020/11/27,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n16455,2020/11/27,\"I had chinese food for dinner with Kayden, Carter\",\"I had chinese food for dinner with Kayden, Carter\"\n16456,2020/11/27,\"I spent 10 talking to Nora, Lydia, Nevaeh, Hazel on various topics in the morning.\",\"I spent 10 talking to Nora, Lydia, Nevaeh, Hazel on various topics in the morning.\"\n16457,2020/11/27,I spent 31 minutes watching news on TV today.,I spent 31 minutes watching news on TV today.\n16458,2020/11/28,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n16459,2020/11/28,I spent 52 talking to Rylee on various topics in the early evening.,I spent 52 talking to Rylee on various topics in the early evening.\n16460,2020/11/28,\"I talked to Olivia, Rylee, Piper for 8 minutes in the early afternoon.\",\"I talked to Olivia, Rylee, Piper for 8 minutes in the early afternoon.\"\n16461,2020/11/28,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n16462,2020/11/29,\"I went grocery shopping. I bought some raspberries, blackberries, cherres, oranges, apple juice, sports drinks, and mouthwash, shampoo, facial wash, conditioner\",\"I went grocery shopping. I bought some raspberries, blackberries, cherres, oranges, apple juice, sports drinks, and mouthwash, shampoo, facial wash, conditioner\"\n16463,2020/11/29,\"I talked to Nevaeh, Rylee for 9 minutes in the morning.\",\"I talked to Nevaeh, Rylee for 9 minutes in the morning.\"\n16464,2020/11/29,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n16465,2020/11/30,I went on a date with Ian on 2020/11/30 at a restaurant,I went on a date with Ian on 2020/11/30 at a restaurant\n16466,2020/11/30,\"I had breakfast with Jackson, Willow, Benjamin. I ate eggs, sausages, and bread.\",\"I had breakfast with Jackson, Willow, Benjamin. I ate eggs, sausages, and bread.\"\n16467,2020/11/30,\"I had dinner with Nevaeh, Hazel, Nora, Layla, Kinsley, Avery, Piper, Eva, Lydia. I ate sandwich.\",\"I had dinner with Nevaeh, Hazel, Nora, Layla, Kinsley, Avery, Piper, Eva, Lydia. I ate sandwich.\"\n16468,2020/11/30,\"I spent 34 talking to Piper, Olivia on various topics during lunch hours.\",\"I spent 34 talking to Piper, Olivia on various topics during lunch hours.\"\n16469,2020/11/30,\"I spent 14 talking to Rylee, Claire, Nevaeh, Nora on various topics in the morning.\",\"I spent 14 talking to Rylee, Claire, Nevaeh, Nora on various topics in the morning.\"\n16470,2020/11/30,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n16471,2020/12/01,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n16472,2020/12/01,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n16473,2020/12/01,\"I spent 41 talking to Kinsley, Avery, Rylee, Olivia on various topics in the late afternoon.\",\"I spent 41 talking to Kinsley, Avery, Rylee, Olivia on various topics in the late afternoon.\"\n16474,2020/12/02,I did weight lifting on 2020/12/02.,I did weight lifting on 2020/12/02.\n16475,2020/12/02,\"I had breakfast with Piper, Layla, Nora, Nevaeh, Olivia, Piper, Kinsley, Avery, Claire, Eva, Hazel, Rylee, Lydia. I ate peanut-butter-jam.\",\"I had breakfast with Piper, Layla, Nora, Nevaeh, Olivia, Piper, Kinsley, Avery, Claire, Eva, Hazel, Rylee, Lydia. I ate peanut-butter-jam.\"\n16476,2020/12/02,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n16477,2020/12/02,I had dinner. I ate steak.,I had dinner. I ate steak.\n16478,2020/12/02,\"I talked to Nevaeh, Lydia, Eva for 55 minutes in the late afternoon.\",\"I talked to Nevaeh, Lydia, Eva for 55 minutes in the late afternoon.\"\n16479,2020/12/02,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n16480,2020/12/03,I prepare a burger for lunch.,I prepare a burger for lunch.\n16481,2020/12/03,\"I talked to Hazel, Piper for 9 minutes in the morning.\",\"I talked to Hazel, Piper for 9 minutes in the morning.\"\n16482,2020/12/03,I spent 20 minutes reading social media today.,I spent 20 minutes reading social media today.\n16483,2020/12/04,I did biking on 2020/12/04.,I did biking on 2020/12/04.\n16484,2020/12/04,I ate cereals for breakfast.,I ate cereals for breakfast.\n16485,2020/12/04,\"I talked to Piper, Nora, Kinsley, Eva for 19 minutes in the morning.\",\"I talked to Piper, Nora, Kinsley, Eva for 19 minutes in the morning.\"\n16486,2020/12/04,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n16487,2020/12/05,\"I bought some clementines, peaches, apricots, chocolate milk, paper towel, toothpaste from the grocery store. I saw Jackson, Willow, Avery, Benjamin at the grocery store.\",\"I bought some clementines, peaches, apricots, chocolate milk, paper towel, toothpaste from the grocery store. I saw Jackson, Willow, Avery, Benjamin at the grocery store.\"\n16488,2020/12/05,I did swimming on 2020/12/05.,I did swimming on 2020/12/05.\n16489,2020/12/05,\"I had breakfast with Jackson, Benjamin, Avery. I ate oatmeal.\",\"I had breakfast with Jackson, Benjamin, Avery. I ate oatmeal.\"\n16490,2020/12/05,\"I had sushi for dinner with Emily, Andrew, Carter, Kayden\",\"I had sushi for dinner with Emily, Andrew, Carter, Kayden\"\n16491,2020/12/05,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n16492,2020/12/06,I really enjoyed yoga on 2020/12/06,I really enjoyed yoga on 2020/12/06\n16493,2020/12/06,I did running on 2020/12/06.,I did running on 2020/12/06.\n16494,2020/12/06,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n16495,2020/12/06,I had steak for lunch with Benjamin,I had steak for lunch with Benjamin\n16496,2020/12/06,I spent 53 talking to Eva on various topics during lunch hours.,I spent 53 talking to Eva on various topics during lunch hours.\n16497,2020/12/06,\"I spent 15 talking to Rylee, Hazel, Nevaeh, Lydia on various topics in the late afternoon.\",\"I spent 15 talking to Rylee, Hazel, Nevaeh, Lydia on various topics in the late afternoon.\"\n16498,2020/12/07,I did swimming on 2020/12/07.,I did swimming on 2020/12/07.\n16499,2020/12/07,\"I had toast and cheese for breakfast with Emily, Andrew\",\"I had toast and cheese for breakfast with Emily, Andrew\"\n16500,2020/12/07,\"I had dinner with Andrew, Carter. I ate chinese food.\",\"I had dinner with Andrew, Carter. I ate chinese food.\"\n16501,2020/12/07,\"I talked to Layla, Rylee, Eva, Piper for 34 minutes in the early afternoon.\",\"I talked to Layla, Rylee, Eva, Piper for 34 minutes in the early afternoon.\"\n16502,2020/12/08,I did HIIT on 2020/12/08.,I did HIIT on 2020/12/08.\n16503,2020/12/08,\"I had dinner with Andrew, Kayden. I ate steak.\",\"I had dinner with Andrew, Kayden. I ate steak.\"\n16504,2020/12/08,\"I spent 27 talking to Claire, Kinsley, Avery, Piper on various topics in the morning.\",\"I spent 27 talking to Claire, Kinsley, Avery, Piper on various topics in the morning.\"\n16505,2020/12/08,\"I spent 43 talking to Nevaeh, Nora, Claire, Kinsley on various topics late in the evening.\",\"I spent 43 talking to Nevaeh, Nora, Claire, Kinsley on various topics late in the evening.\"\n16506,2020/12/08,I spent 54 minutes reading social media today.,I spent 54 minutes reading social media today.\n16507,2020/12/09,I prepare indian food for lunch.,I prepare indian food for lunch.\n16508,2020/12/09,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n16509,2020/12/10,I went on a date with Logan on 2020/12/10 at a coffee Shop,I went on a date with Logan on 2020/12/10 at a coffee Shop\n16510,2020/12/10,\"I bought some apricots, raspberries, strawberries, apple juice, soda, mouthwash, conditioner, toilet paper online.\",\"I bought some apricots, raspberries, strawberries, apple juice, soda, mouthwash, conditioner, toilet paper online.\"\n16511,2020/12/10,I did hiking on 2020/12/10.,I did hiking on 2020/12/10.\n16512,2020/12/10,\"I had breakfast with Layla, Eva, Piper, Kinsley. I ate peanut-butter-jam.\",\"I had breakfast with Layla, Eva, Piper, Kinsley. I ate peanut-butter-jam.\"\n16513,2020/12/10,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n16514,2020/12/11,\"I spent time working out on 2020/12/11 with Emily, Carter, Kayden.\",\"I spent time working out on 2020/12/11 with Emily, Carter, Kayden.\"\n16515,2020/12/11,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n16516,2020/12/11,I watched news for 51 minutes on TV today.,I watched news for 51 minutes on TV today.\n16517,2020/12/12,\"I spent 21 talking to Kinsley, Eva on various topics in the morning.\",\"I spent 21 talking to Kinsley, Eva on various topics in the morning.\"\n16518,2020/12/12,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n16519,2020/12/13,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n16520,2020/12/13,\"I had indian food for lunch with Kinsley, Claire, Piper, Olivia, Avery, Nora\",\"I had indian food for lunch with Kinsley, Claire, Piper, Olivia, Avery, Nora\"\n16521,2020/12/13,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n16522,2020/12/13,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n16523,2020/12/14,\"I spent time meditation on 2020/12/14 with Hazel, Kinsley, Eva.\",\"I spent time meditation on 2020/12/14 with Hazel, Kinsley, Eva.\"\n16524,2020/12/14,\"I had breakfast with Andrew, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Emily. I ate peanut-butter-jam.\"\n16525,2020/12/14,\"I talked to Layla, Eva for 39 minutes in the morning.\",\"I talked to Layla, Eva for 39 minutes in the morning.\"\n16526,2020/12/14,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n16527,2020/12/14,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n16528,2020/12/15,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n16529,2020/12/15,I spent 46 talking to Rylee on various topics in the early afternoon.,I spent 46 talking to Rylee on various topics in the early afternoon.\n16530,2020/12/15,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n16531,2020/12/16,I spent time yoga on 2020/12/16 with Jackson.,I spent time yoga on 2020/12/16 with Jackson.\n16532,2020/12/16,I did swimming on 2020/12/16.,I did swimming on 2020/12/16.\n16533,2020/12/16,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n16534,2020/12/16,\"I talked to Olivia, Lydia, Claire, Eva for 28 minutes in the early afternoon.\",\"I talked to Olivia, Lydia, Claire, Eva for 28 minutes in the early afternoon.\"\n16535,2020/12/16,\"I talked to Nevaeh, Claire for 13 minutes in the early evening.\",\"I talked to Nevaeh, Claire for 13 minutes in the early evening.\"\n16536,2020/12/16,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n16537,2020/12/17,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n16538,2020/12/17,\"I spent 27 talking to Kinsley, Olivia, Piper, Avery on various topics in the late afternoon.\",\"I spent 27 talking to Kinsley, Olivia, Piper, Avery on various topics in the late afternoon.\"\n16539,2020/12/17,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n16540,2020/12/18,I went on a date with Nora on 2020/12/18 at a coffee Shop,I went on a date with Nora on 2020/12/18 at a coffee Shop\n16541,2020/12/18,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n16542,2020/12/18,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n16543,2020/12/18,I talked to Nora for 42 minutes in the late afternoon.,I talked to Nora for 42 minutes in the late afternoon.\n16544,2020/12/18,\"I talked to Nevaeh, Hazel, Eva, Claire for 30 minutes in the morning.\",\"I talked to Nevaeh, Hazel, Eva, Claire for 30 minutes in the morning.\"\n16545,2020/12/18,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n16546,2020/12/19,I went on a date with Gianna on 2020/12/19 at a restaurant,I went on a date with Gianna on 2020/12/19 at a restaurant\n16547,2020/12/19,I did HIIT on 2020/12/19.,I did HIIT on 2020/12/19.\n16548,2020/12/19,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n16549,2020/12/19,\"I talked to Lydia, Nevaeh, Piper, Hazel for 33 minutes during lunch hours.\",\"I talked to Lydia, Nevaeh, Piper, Hazel for 33 minutes during lunch hours.\"\n16550,2020/12/19,\"I spent 25 talking to Claire, Layla, Nevaeh on various topics in the late afternoon.\",\"I spent 25 talking to Claire, Layla, Nevaeh on various topics in the late afternoon.\"\n16551,2020/12/19,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n16552,2020/12/19,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n16553,2020/12/20,\"I had breakfast with Carter, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Emily. I ate eggs, sausages, and bread.\"\n16554,2020/12/20,\"I talked to Nevaeh, Layla, Olivia, Piper for 17 minutes in the late afternoon.\",\"I talked to Nevaeh, Layla, Olivia, Piper for 17 minutes in the late afternoon.\"\n16555,2020/12/21,I did hiking on 2020/12/21.,I did hiking on 2020/12/21.\n16556,2020/12/21,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n16557,2020/12/21,I ate indian food for dinner.,I ate indian food for dinner.\n16558,2020/12/21,I spent 42 minutes on social media today.,I spent 42 minutes on social media today.\n16559,2020/12/22,I did HIIT on 2020/12/22.,I did HIIT on 2020/12/22.\n16560,2020/12/22,I had dinner with Claire. I ate chinese food.,I had dinner with Claire. I ate chinese food.\n16561,2020/12/22,I talked to Claire for 49 minutes in the early evening.,I talked to Claire for 49 minutes in the early evening.\n16562,2020/12/22,I watched a documentary for 34 minutes on TV today.,I watched a documentary for 34 minutes on TV today.\n16563,2020/12/23,I did HIIT on 2020/12/23.,I did HIIT on 2020/12/23.\n16564,2020/12/23,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n16565,2020/12/23,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n16566,2020/12/24,I did biking on 2020/12/24.,I did biking on 2020/12/24.\n16567,2020/12/24,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n16568,2020/12/24,I had dinner with Piper. I ate pasta.,I had dinner with Piper. I ate pasta.\n16569,2020/12/24,I talked to Layla for 19 minutes in the early afternoon.,I talked to Layla for 19 minutes in the early afternoon.\n16570,2020/12/24,I talked to Olivia for 18 minutes in the late afternoon.,I talked to Olivia for 18 minutes in the late afternoon.\n16571,2020/12/25,I did hiking on 2020/12/25.,I did hiking on 2020/12/25.\n16572,2020/12/25,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n16573,2020/12/25,I ate pasta for dinner.,I ate pasta for dinner.\n16574,2020/12/25,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n16575,2020/12/26,I did swimming on 2020/12/26.,I did swimming on 2020/12/26.\n16576,2020/12/26,I ate indian food for lunch.,I ate indian food for lunch.\n16577,2020/12/26,I prepare steak for dinner.,I prepare steak for dinner.\n16578,2020/12/26,\"I spent 7 talking to Avery, Piper, Layla, Rylee on various topics in the morning.\",\"I spent 7 talking to Avery, Piper, Layla, Rylee on various topics in the morning.\"\n16579,2020/12/26,\"I talked to Hazel, Nora, Kinsley for 49 minutes in the late afternoon.\",\"I talked to Hazel, Nora, Kinsley for 49 minutes in the late afternoon.\"\n16580,2020/12/26,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n16581,2020/12/27,I did swimming on 2020/12/27.,I did swimming on 2020/12/27.\n16582,2020/12/27,I watched a movie for 41 minutes on TV today.,I watched a movie for 41 minutes on TV today.\n16583,2020/12/28,I did weight lifting on 2020/12/28.,I did weight lifting on 2020/12/28.\n16584,2020/12/28,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n16585,2020/12/28,I spent 19 talking to Layla on various topics in the early evening.,I spent 19 talking to Layla on various topics in the early evening.\n16586,2020/12/28,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n16587,2020/12/29,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n16588,2020/12/30,I did hiking on 2020/12/30.,I did hiking on 2020/12/30.\n16589,2020/12/30,\"I had breakfast with Hazel, Piper, Eva, Lydia, Nora, Rylee, Olivia, Layla, Kinsley, Nevaeh, Claire, Avery, Piper. I ate toast and cheese.\",\"I had breakfast with Hazel, Piper, Eva, Lydia, Nora, Rylee, Olivia, Layla, Kinsley, Nevaeh, Claire, Avery, Piper. I ate toast and cheese.\"\n16590,2020/12/30,I talked to Olivia for 50 minutes late in the evening.,I talked to Olivia for 50 minutes late in the evening.\n16591,2020/12/30,I spent 29 minutes reading social media today.,I spent 29 minutes reading social media today.\n16592,2020/12/31,I did running on 2020/12/31.,I did running on 2020/12/31.\n16593,2020/12/31,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n16594,2020/12/31,\"I had sushi for dinner with Emily, Kayden, Andrew\",\"I had sushi for dinner with Emily, Kayden, Andrew\"\n16595,2020/12/31,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n16596,2021/01/01,I did biking on 2021/01/01.,I did biking on 2021/01/01.\n16597,2021/01/01,\"I had breakfast with Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily. I ate eggs, sausages, and bread.\"\n16598,2021/01/01,I ate steak for lunch.,I ate steak for lunch.\n16599,2021/01/01,I had dinner with Kayden. I ate sandwich.,I had dinner with Kayden. I ate sandwich.\n16600,2021/01/01,\"I talked to Eva, Claire for 50 minutes in the early afternoon.\",\"I talked to Eva, Claire for 50 minutes in the early afternoon.\"\n16601,2021/01/01,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n16602,2021/01/01,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n16603,2021/01/02,I did weight lifting on 2021/01/02.,I did weight lifting on 2021/01/02.\n16604,2021/01/02,\"I had cereals for breakfast with Benjamin, Jackson\",\"I had cereals for breakfast with Benjamin, Jackson\"\n16605,2021/01/02,\"I had dinner with Avery, Benjamin, Willow. I ate steak.\",\"I had dinner with Avery, Benjamin, Willow. I ate steak.\"\n16606,2021/01/02,\"I spent 41 talking to Hazel, Piper, Nevaeh, Olivia on various topics in the morning.\",\"I spent 41 talking to Hazel, Piper, Nevaeh, Olivia on various topics in the morning.\"\n16607,2021/01/02,I spent 53 minutes reading news today.,I spent 53 minutes reading news today.\n16608,2021/01/02,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n16609,2021/01/03,\"I went grocery shopping. I bought some raspberries, mineral water, mango juice, and conditioner, shampoo, shaving cream\",\"I went grocery shopping. I bought some raspberries, mineral water, mango juice, and conditioner, shampoo, shaving cream\"\n16610,2021/01/03,I did running on 2021/01/03.,I did running on 2021/01/03.\n16611,2021/01/03,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n16612,2021/01/03,I talked to Kinsley for 49 minutes in the morning.,I talked to Kinsley for 49 minutes in the morning.\n16613,2021/01/03,I spent 36 minutes on news today.,I spent 36 minutes on news today.\n16614,2021/01/04,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n16615,2021/01/04,I prepare pasta for dinner.,I prepare pasta for dinner.\n16616,2021/01/04,\"I talked to Kinsley, Hazel, Piper, Eva for 17 minutes in the morning.\",\"I talked to Kinsley, Hazel, Piper, Eva for 17 minutes in the morning.\"\n16617,2021/01/04,I spent 33 minutes reading social media today.,I spent 33 minutes reading social media today.\n16618,2021/01/05,\"I spent time meditation on 2021/01/05 with Emily, Andrew.\",\"I spent time meditation on 2021/01/05 with Emily, Andrew.\"\n16619,2021/01/05,I did hiking on 2021/01/05.,I did hiking on 2021/01/05.\n16620,2021/01/05,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n16621,2021/01/05,\"I had dinner with Avery, Nora, Eva, Rylee, Claire, Olivia, Hazel, Piper. I ate chinese food.\",\"I had dinner with Avery, Nora, Eva, Rylee, Claire, Olivia, Hazel, Piper. I ate chinese food.\"\n16622,2021/01/05,\"I talked to Olivia, Rylee, Nevaeh, Kinsley for 19 minutes late in the evening.\",\"I talked to Olivia, Rylee, Nevaeh, Kinsley for 19 minutes late in the evening.\"\n16623,2021/01/05,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n16624,2021/01/05,I spent 31 minutes watching a documentary on TV today.,I spent 31 minutes watching a documentary on TV today.\n16625,2021/01/06,\"I had steak for lunch with Hazel, Piper, Piper, Kinsley, Avery, Rylee, Claire, Nevaeh, Eva\",\"I had steak for lunch with Hazel, Piper, Piper, Kinsley, Avery, Rylee, Claire, Nevaeh, Eva\"\n16626,2021/01/06,I had dinner with Kayden. I ate a burger.,I had dinner with Kayden. I ate a burger.\n16627,2021/01/06,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n16628,2021/01/07,\"I bought some mandarins, nectarines, pineapples, raspberries, coffee, tea, shaving cream, toothpaste, mouthwash, mouth wash from the grocery store. I saw Lydia, Layla, Claire at the grocery store.\",\"I bought some mandarins, nectarines, pineapples, raspberries, coffee, tea, shaving cream, toothpaste, mouthwash, mouth wash from the grocery store. I saw Lydia, Layla, Claire at the grocery store.\"\n16629,2021/01/07,\"I had fish and chips for lunch with Kinsley, Hazel, Nora, Piper, Rylee, Claire, Piper, Nevaeh, Avery, Layla, Eva, Olivia, Lydia\",\"I had fish and chips for lunch with Kinsley, Hazel, Nora, Piper, Rylee, Claire, Piper, Nevaeh, Avery, Layla, Eva, Olivia, Lydia\"\n16630,2021/01/07,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n16631,2021/01/07,\"I talked to Kinsley, Rylee, Eva, Nora for 55 minutes in the early afternoon.\",\"I talked to Kinsley, Rylee, Eva, Nora for 55 minutes in the early afternoon.\"\n16632,2021/01/07,\"I talked to Kinsley, Rylee for 38 minutes in the late afternoon.\",\"I talked to Kinsley, Rylee for 38 minutes in the late afternoon.\"\n16633,2021/01/07,I spent 24 minutes reading social media today.,I spent 24 minutes reading social media today.\n16634,2021/01/08,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n16635,2021/01/08,I prepare indian food for dinner.,I prepare indian food for dinner.\n16636,2021/01/08,I spent 28 minutes on news today.,I spent 28 minutes on news today.\n16637,2021/01/09,\"I bought some strawberries, watermelons, blackberries, soda, sports drinks, guava juice, toilet paper from the grocery store. I saw Willow, Jackson at the grocery store.\",\"I bought some strawberries, watermelons, blackberries, soda, sports drinks, guava juice, toilet paper from the grocery store. I saw Willow, Jackson at the grocery store.\"\n16638,2021/01/09,I ate steak for lunch.,I ate steak for lunch.\n16639,2021/01/09,I ate chinese food for dinner.,I ate chinese food for dinner.\n16640,2021/01/09,\"I spent 24 talking to Layla, Avery on various topics in the morning.\",\"I spent 24 talking to Layla, Avery on various topics in the morning.\"\n16641,2021/01/09,\"I spent 41 talking to Piper, Claire on various topics in the late afternoon.\",\"I spent 41 talking to Piper, Claire on various topics in the late afternoon.\"\n16642,2021/01/09,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n16643,2021/01/10,\"I had breakfast with Andrew, Kayden, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Andrew, Kayden, Emily. I ate peanut-butter-jam.\"\n16644,2021/01/10,I watched a tv series for 44 minutes on TV today.,I watched a tv series for 44 minutes on TV today.\n16645,2021/01/11,\"I had lunch with Rylee, Claire, Nora, Eva, Piper, Hazel. I ate pasta.\",\"I had lunch with Rylee, Claire, Nora, Eva, Piper, Hazel. I ate pasta.\"\n16646,2021/01/11,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n16647,2021/01/11,I spent 25 talking to Layla on various topics in the early afternoon.,I spent 25 talking to Layla on various topics in the early afternoon.\n16648,2021/01/11,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n16649,2021/01/12,I did hiking on 2021/01/12.,I did hiking on 2021/01/12.\n16650,2021/01/12,I ate tacos for dinner.,I ate tacos for dinner.\n16651,2021/01/13,I did biking on 2021/01/13.,I did biking on 2021/01/13.\n16652,2021/01/13,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n16653,2021/01/13,I prepare pasta for dinner.,I prepare pasta for dinner.\n16654,2021/01/13,\"I talked to Olivia, Kinsley, Claire, Piper for 29 minutes in the late afternoon.\",\"I talked to Olivia, Kinsley, Claire, Piper for 29 minutes in the late afternoon.\"\n16655,2021/01/13,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n16656,2021/01/14,I did hiking on 2021/01/14.,I did hiking on 2021/01/14.\n16657,2021/01/14,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n16658,2021/01/14,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n16659,2021/01/14,I spent 20 minutes on a book today.,I spent 20 minutes on a book today.\n16660,2021/01/15,I did biking on 2021/01/15.,I did biking on 2021/01/15.\n16661,2021/01/15,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n16662,2021/01/15,I talked to Rylee for 7 minutes in the early afternoon.,I talked to Rylee for 7 minutes in the early afternoon.\n16663,2021/01/15,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n16664,2021/01/16,\"I entertained Andrew at my place on 2021/01/16 and bake easy peanut butter fudge, homemade toaster pastries\",\"I entertained Andrew at my place on 2021/01/16 and bake easy peanut butter fudge, homemade toaster pastries\"\n16665,2021/01/16,I did biking on 2021/01/16.,I did biking on 2021/01/16.\n16666,2021/01/16,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n16667,2021/01/16,I spent 51 talking to Rylee on various topics late in the evening.,I spent 51 talking to Rylee on various topics late in the evening.\n16668,2021/01/16,I spent 43 minutes on social media today.,I spent 43 minutes on social media today.\n16669,2021/01/16,I watched a documentary for 50 minutes on TV today.,I watched a documentary for 50 minutes on TV today.\n16670,2021/01/17,I spent some time learning a language on 2021/01/17.,I spent some time learning a language on 2021/01/17.\n16671,2021/01/17,I ate tacos for lunch.,I ate tacos for lunch.\n16672,2021/01/17,\"I had dinner with Jackson, Willow. I ate indian food.\",\"I had dinner with Jackson, Willow. I ate indian food.\"\n16673,2021/01/17,\"I talked to Kinsley, Nevaeh, Layla, Nora for 9 minutes during lunch hours.\",\"I talked to Kinsley, Nevaeh, Layla, Nora for 9 minutes during lunch hours.\"\n16674,2021/01/18,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n16675,2021/01/18,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n16676,2021/01/19,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n16677,2021/01/19,I talked to Avery for 10 minutes late in the evening.,I talked to Avery for 10 minutes late in the evening.\n16678,2021/01/19,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n16679,2021/01/19,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n16680,2021/01/20,\"I had tacos for dinner with Kayden, Andrew\",\"I had tacos for dinner with Kayden, Andrew\"\n16681,2021/01/20,\"I talked to Nora, Nevaeh for 10 minutes during lunch hours.\",\"I talked to Nora, Nevaeh for 10 minutes during lunch hours.\"\n16682,2021/01/21,I spent some time gardening on 2021/01/21.,I spent some time gardening on 2021/01/21.\n16683,2021/01/21,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n16684,2021/01/21,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n16685,2021/01/22,I did hiking on 2021/01/22.,I did hiking on 2021/01/22.\n16686,2021/01/22,\"I talked to Piper, Olivia, Rylee for 18 minutes in the morning.\",\"I talked to Piper, Olivia, Rylee for 18 minutes in the morning.\"\n16687,2021/01/23,\"I had lunch with Emily, Kayden, Andrew, Carter. I ate indian food.\",\"I had lunch with Emily, Kayden, Andrew, Carter. I ate indian food.\"\n16688,2021/01/23,\"I spent 20 talking to Lydia, Eva, Nora on various topics in the early afternoon.\",\"I spent 20 talking to Lydia, Eva, Nora on various topics in the early afternoon.\"\n16689,2021/01/23,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n16690,2021/01/25,\"I had cereals for breakfast with Benjamin, Willow\",\"I had cereals for breakfast with Benjamin, Willow\"\n16691,2021/01/25,\"I had indian food for dinner with Avery, Jackson, Willow\",\"I had indian food for dinner with Avery, Jackson, Willow\"\n16692,2021/01/25,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n16693,2021/01/25,I watched a movie for 5 minutes on TV today.,I watched a movie for 5 minutes on TV today.\n16694,2021/01/26,I did running on 2021/01/26.,I did running on 2021/01/26.\n16695,2021/01/26,\"I had breakfast with Jackson, Benjamin, Willow. I ate oatmeal.\",\"I had breakfast with Jackson, Benjamin, Willow. I ate oatmeal.\"\n16696,2021/01/26,I ate indian food for dinner.,I ate indian food for dinner.\n16697,2021/01/27,\"I bought some peaches, apples, cherres, strawberries, pineapple juice, apple juice, body lotion, mouth wash from the grocery store. I saw Piper, Rylee, Layla, Lydia, Eva, Claire, Avery, Piper, Olivia, Nevaeh, Nora, Kinsley, Hazel at the grocery store.\",\"I bought some peaches, apples, cherres, strawberries, pineapple juice, apple juice, body lotion, mouth wash from the grocery store. I saw Piper, Rylee, Layla, Lydia, Eva, Claire, Avery, Piper, Olivia, Nevaeh, Nora, Kinsley, Hazel at the grocery store.\"\n16698,2021/01/27,\"I had lunch with Layla, Olivia, Rylee, Eva, Lydia, Avery, Piper. I ate pasta.\",\"I had lunch with Layla, Olivia, Rylee, Eva, Lydia, Avery, Piper. I ate pasta.\"\n16699,2021/01/27,\"I spent 10 talking to Lydia, Kinsley on various topics in the early afternoon.\",\"I spent 10 talking to Lydia, Kinsley on various topics in the early afternoon.\"\n16700,2021/01/27,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n16701,2021/01/27,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n16702,2021/01/28,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n16703,2021/01/28,I ate sushi for lunch.,I ate sushi for lunch.\n16704,2021/01/28,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n16705,2021/01/28,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n16706,2021/01/29,\"I had dinner with Willow, Benjamin. I ate sushi.\",\"I had dinner with Willow, Benjamin. I ate sushi.\"\n16707,2021/01/29,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n16708,2021/01/29,I spent 8 minutes watching a documentary on TV today.,I spent 8 minutes watching a documentary on TV today.\n16709,2021/01/30,\"I went grocery shopping with Carter, Andrew, Kayden, Emily. I bought some watermelons, oranges, chocolate milk, sports drinks, mineral water, tea, and facial wash, mouth wash, mouthwash, toilet paper\",\"I went grocery shopping with Carter, Andrew, Kayden, Emily. I bought some watermelons, oranges, chocolate milk, sports drinks, mineral water, tea, and facial wash, mouth wash, mouthwash, toilet paper\"\n16710,2021/01/30,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n16711,2021/01/30,I spent 38 talking to Lydia on various topics in the morning.,I spent 38 talking to Lydia on various topics in the morning.\n16712,2021/01/30,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n16713,2021/01/30,I watched a tv series for 16 minutes on TV today.,I watched a tv series for 16 minutes on TV today.\n16714,2021/01/31,\"On 2021/01/31, I took Owen on a date to a restaurant\",\"On 2021/01/31, I took Owen on a date to a restaurant\"\n16715,2021/01/31,I did running on 2021/01/31.,I did running on 2021/01/31.\n16716,2021/01/31,\"I had lunch with Emily, Carter. I ate fish and chips.\",\"I had lunch with Emily, Carter. I ate fish and chips.\"\n16717,2021/01/31,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n16718,2021/01/31,\"I spent 39 talking to Claire, Piper on various topics during lunch hours.\",\"I spent 39 talking to Claire, Piper on various topics during lunch hours.\"\n16719,2021/01/31,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n16720,2021/02/01,I ate a burger for lunch.,I ate a burger for lunch.\n16721,2021/02/01,\"I had dinner with Piper, Kinsley, Nevaeh, Eva, Claire, Avery, Layla, Olivia, Nora, Lydia, Piper, Rylee. I ate a burger.\",\"I had dinner with Piper, Kinsley, Nevaeh, Eva, Claire, Avery, Layla, Olivia, Nora, Lydia, Piper, Rylee. I ate a burger.\"\n16722,2021/02/01,\"I talked to Lydia, Kinsley, Layla, Nora for 29 minutes in the early evening.\",\"I talked to Lydia, Kinsley, Layla, Nora for 29 minutes in the early evening.\"\n16723,2021/02/01,\"I spent 13 talking to Layla, Avery on various topics in the morning.\",\"I spent 13 talking to Layla, Avery on various topics in the morning.\"\n16724,2021/02/01,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n16725,2021/02/02,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n16726,2021/02/02,I ate steak for lunch.,I ate steak for lunch.\n16727,2021/02/02,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n16728,2021/02/02,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n16729,2021/02/03,I did swimming on 2021/02/03.,I did swimming on 2021/02/03.\n16730,2021/02/03,I ate tacos for dinner.,I ate tacos for dinner.\n16731,2021/02/03,I spent 32 talking to Avery on various topics late in the evening.,I spent 32 talking to Avery on various topics late in the evening.\n16732,2021/02/04,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n16733,2021/02/04,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n16734,2021/02/05,\"On 2021/02/05, I took Ryan on a date to a restaurant\",\"On 2021/02/05, I took Ryan on a date to a restaurant\"\n16735,2021/02/05,\"I spent time learning a language on 2021/02/05 with Kayden, Andrew.\",\"I spent time learning a language on 2021/02/05 with Kayden, Andrew.\"\n16736,2021/02/05,I did swimming on 2021/02/05.,I did swimming on 2021/02/05.\n16737,2021/02/05,\"I had steak for dinner with Piper, Nevaeh, Layla, Eva, Lydia, Rylee, Olivia, Avery, Piper, Kinsley, Nora, Claire, Hazel\",\"I had steak for dinner with Piper, Nevaeh, Layla, Eva, Lydia, Rylee, Olivia, Avery, Piper, Kinsley, Nora, Claire, Hazel\"\n16738,2021/02/05,I talked to Rylee for 23 minutes in the early afternoon.,I talked to Rylee for 23 minutes in the early afternoon.\n16739,2021/02/06,\"I went grocery shopping. I bought some blackberries, tea, soda, and toothbrush\",\"I went grocery shopping. I bought some blackberries, tea, soda, and toothbrush\"\n16740,2021/02/06,I did swimming on 2021/02/06.,I did swimming on 2021/02/06.\n16741,2021/02/07,I spent 55 minutes on social media today.,I spent 55 minutes on social media today.\n16742,2021/02/07,I watched news for 53 minutes on TV today.,I watched news for 53 minutes on TV today.\n16743,2021/02/08,I really enjoyed yoga on 2021/02/08,I really enjoyed yoga on 2021/02/08\n16744,2021/02/08,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n16745,2021/02/08,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n16746,2021/02/08,\"I had dinner with Benjamin, Jackson. I ate sandwich.\",\"I had dinner with Benjamin, Jackson. I ate sandwich.\"\n16747,2021/02/08,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n16748,2021/02/09,I did weight lifting on 2021/02/09.,I did weight lifting on 2021/02/09.\n16749,2021/02/09,\"I had dinner with Andrew, Kayden, Carter, Emily. I ate indian food.\",\"I had dinner with Andrew, Kayden, Carter, Emily. I ate indian food.\"\n16750,2021/02/09,\"I spent 52 talking to Rylee, Layla, Piper on various topics in the morning.\",\"I spent 52 talking to Rylee, Layla, Piper on various topics in the morning.\"\n16751,2021/02/09,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n16752,2021/02/10,\"I bought some apples, cherres, sports drinks, coffee, facial wash, toilet paper from the grocery store. I saw Kayden, Andrew, Carter, Emily at the grocery store.\",\"I bought some apples, cherres, sports drinks, coffee, facial wash, toilet paper from the grocery store. I saw Kayden, Andrew, Carter, Emily at the grocery store.\"\n16753,2021/02/10,I did weight lifting on 2021/02/10.,I did weight lifting on 2021/02/10.\n16754,2021/02/10,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n16755,2021/02/10,I spent 35 talking to Claire on various topics in the early evening.,I spent 35 talking to Claire on various topics in the early evening.\n16756,2021/02/10,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n16757,2021/02/10,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n16758,2021/02/11,\"I had pancakes for breakfast with Carter, Andrew\",\"I had pancakes for breakfast with Carter, Andrew\"\n16759,2021/02/11,I ate indian food for dinner.,I ate indian food for dinner.\n16760,2021/02/11,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n16761,2021/02/11,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n16762,2021/02/12,\"I was baking cinnamon sheet cake with cider frosting, gluten-free apple rose tart on 2021/02/12 with Jackson, Avery, Willow at my place\",\"I was baking cinnamon sheet cake with cider frosting, gluten-free apple rose tart on 2021/02/12 with Jackson, Avery, Willow at my place\"\n16763,2021/02/12,\"On 2021/02/12, I took Roman on a date to a restaurant\",\"On 2021/02/12, I took Roman on a date to a restaurant\"\n16764,2021/02/12,I did running on 2021/02/12.,I did running on 2021/02/12.\n16765,2021/02/13,I ate pasta for lunch.,I ate pasta for lunch.\n16766,2021/02/13,I had dinner with Kayden. I ate sandwich.,I had dinner with Kayden. I ate sandwich.\n16767,2021/02/13,\"I talked to Lydia, Nora for 50 minutes during lunch hours.\",\"I talked to Lydia, Nora for 50 minutes during lunch hours.\"\n16768,2021/02/13,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n16769,2021/02/14,\"I bought some clementines, mandarins, cherres, blueberries, coffee, tea, soda, shaving cream, toothpaste, conditioner online.\",\"I bought some clementines, mandarins, cherres, blueberries, coffee, tea, soda, shaving cream, toothpaste, conditioner online.\"\n16770,2021/02/14,I ate cereals for breakfast.,I ate cereals for breakfast.\n16771,2021/02/14,I ate chinese food for lunch.,I ate chinese food for lunch.\n16772,2021/02/14,I spent 27 minutes on news today.,I spent 27 minutes on news today.\n16773,2021/02/15,\"On 2021/02/15, I took Ethan on a date to a coffee Shop\",\"On 2021/02/15, I took Ethan on a date to a coffee Shop\"\n16774,2021/02/15,I ate pasta for dinner.,I ate pasta for dinner.\n16775,2021/02/15,\"I talked to Nevaeh, Avery, Rylee for 30 minutes during lunch hours.\",\"I talked to Nevaeh, Avery, Rylee for 30 minutes during lunch hours.\"\n16776,2021/02/15,\"I spent 52 talking to Kinsley, Layla on various topics in the early afternoon.\",\"I spent 52 talking to Kinsley, Layla on various topics in the early afternoon.\"\n16777,2021/02/16,I did running on 2021/02/16.,I did running on 2021/02/16.\n16778,2021/02/16,I had breakfast with Carter. I ate peanut-butter-jam.,I had breakfast with Carter. I ate peanut-butter-jam.\n16779,2021/02/16,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n16780,2021/02/17,\"I really enjoyed baking giant cinnamon roll, carrot cake, easy peanut butter fudge on 2021/02/17 with Willow, Jackson at my place\",\"I really enjoyed baking giant cinnamon roll, carrot cake, easy peanut butter fudge on 2021/02/17 with Willow, Jackson at my place\"\n16781,2021/02/17,\"I bought some cherres, mangos, milk, shampoo, toothpaste, shaving cream online.\",\"I bought some cherres, mangos, milk, shampoo, toothpaste, shaving cream online.\"\n16782,2021/02/17,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n16783,2021/02/17,I spent 46 minutes watching a movie on TV today.,I spent 46 minutes watching a movie on TV today.\n16784,2021/02/18,\"On 2021/02/18 Emily, Carter, Kayden and I went to Rio, Brazil together for 4 days \",\"On 2021/02/18 Emily, Carter, Kayden and I went to Rio, Brazil together for 4 days \"\n16785,2021/02/18,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n16786,2021/02/18,I prepare indian food for lunch.,I prepare indian food for lunch.\n16787,2021/02/18,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n16788,2021/02/18,\"I spent 35 talking to Eva, Avery, Olivia, Piper on various topics in the morning.\",\"I spent 35 talking to Eva, Avery, Olivia, Piper on various topics in the morning.\"\n16789,2021/02/18,I watched a documentary for 50 minutes on TV today.,I watched a documentary for 50 minutes on TV today.\n16790,2021/02/19,\"During my trip to Rio, Brazil, I visited Ipanema on 2021/02 with Emily, Carter, Kayden.\",\"During my trip to Rio, Brazil, I visited Ipanema on 2021/02 with Emily, Carter, Kayden.\"\n16791,2021/02/19,\"I ate Chinese food at Bolinho de bacalhau with Emily, Carter, Kayden on  2021/02/19 when I was in Rio, Brazil.\",\"I ate Chinese food at Bolinho de bacalhau with Emily, Carter, Kayden on  2021/02/19 when I was in Rio, Brazil.\"\n16792,2021/02/19,\"I talked to Nevaeh, Piper, Kinsley, Olivia for 9 minutes late in the evening.\",\"I talked to Nevaeh, Piper, Kinsley, Olivia for 9 minutes late in the evening.\"\n16793,2021/02/19,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n16794,2021/02/20,\"During my trip to Rio, Brazil, I visited Sugarloaf on 2021/02 with Emily, Carter, Kayden.\",\"During my trip to Rio, Brazil, I visited Sugarloaf on 2021/02 with Emily, Carter, Kayden.\"\n16795,2021/02/20,\"I ate Indian food at Tapioca with Emily, Carter, Kayden on  2021/02/20 when I was in Rio, Brazil.\",\"I ate Indian food at Tapioca with Emily, Carter, Kayden on  2021/02/20 when I was in Rio, Brazil.\"\n16796,2021/02/20,\"I had lunch with Benjamin, Jackson. I ate steak.\",\"I had lunch with Benjamin, Jackson. I ate steak.\"\n16797,2021/02/20,\"I spent 12 talking to Rylee, Eva on various topics during lunch hours.\",\"I spent 12 talking to Rylee, Eva on various topics during lunch hours.\"\n16798,2021/02/21,\"During my trip to Rio, Brazil, I visited Copacabana on 2021/02 with Emily, Carter, Kayden.\",\"During my trip to Rio, Brazil, I visited Copacabana on 2021/02 with Emily, Carter, Kayden.\"\n16799,2021/02/21,\"I ate Italian food at Tapioca with Emily, Carter, Kayden on  2021/02/21 when I was in Rio, Brazil.\",\"I ate Italian food at Tapioca with Emily, Carter, Kayden on  2021/02/21 when I was in Rio, Brazil.\"\n16800,2021/02/21,I spent 49 minutes on news today.,I spent 49 minutes on news today.\n16801,2021/02/22,\"During my trip to Rio, Brazil, I visited Cristo Redentor on 2021/02 with Emily, Carter, Kayden.\",\"During my trip to Rio, Brazil, I visited Cristo Redentor on 2021/02 with Emily, Carter, Kayden.\"\n16802,2021/02/22,\"I ate local food at Bolinho de bacalhau with Emily, Carter, Kayden on  2021/02/22 when I was in Rio, Brazil.\",\"I ate local food at Bolinho de bacalhau with Emily, Carter, Kayden on  2021/02/22 when I was in Rio, Brazil.\"\n16803,2021/02/22,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n16804,2021/02/22,\"I talked to Piper, Hazel, Olivia, Nora for 17 minutes in the morning.\",\"I talked to Piper, Hazel, Olivia, Nora for 17 minutes in the morning.\"\n16805,2021/02/23,\"During my trip to Rio, Brazil, I visited Carnaval on 2021/02 with Emily, Carter, Kayden.\",\"During my trip to Rio, Brazil, I visited Carnaval on 2021/02 with Emily, Carter, Kayden.\"\n16806,2021/02/23,\"I went grocery shopping with Piper, Piper, Claire, Eva, Lydia, Kinsley, Rylee, Layla, Olivia, Nora, Nevaeh. I bought some raspberries, milk, and mouth wash\",\"I went grocery shopping with Piper, Piper, Claire, Eva, Lydia, Kinsley, Rylee, Layla, Olivia, Nora, Nevaeh. I bought some raspberries, milk, and mouth wash\"\n16807,2021/02/23,I had peanut-butter-jam for breakfast with Carter,I had peanut-butter-jam for breakfast with Carter\n16808,2021/02/24,I did weight lifting on 2021/02/24.,I did weight lifting on 2021/02/24.\n16809,2021/02/24,\"I had a burger for lunch with Avery, Benjamin\",\"I had a burger for lunch with Avery, Benjamin\"\n16810,2021/02/25,I took Emily for his/her  for an annual physical checkup on 2021/02/25 at the university hospital.,I took Emily for his/her  for an annual physical checkup on 2021/02/25 at the university hospital.\n16811,2021/02/25,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n16812,2021/02/25,\"I spent 42 talking to Eva, Nora, Hazel on various topics during lunch hours.\",\"I spent 42 talking to Eva, Nora, Hazel on various topics during lunch hours.\"\n16813,2021/02/26,I did biking on 2021/02/26.,I did biking on 2021/02/26.\n16814,2021/02/26,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n16815,2021/02/26,I had sandwich for lunch with Carter,I had sandwich for lunch with Carter\n16816,2021/02/26,I ate chinese food for dinner.,I ate chinese food for dinner.\n16817,2021/02/26,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n16818,2021/02/27,\"I really enjoyed baking easy chocolate marshmallow cups on 2021/02/27 with Piper, Nora, Eva, Avery at my place\",\"I really enjoyed baking easy chocolate marshmallow cups on 2021/02/27 with Piper, Nora, Eva, Avery at my place\"\n16819,2021/02/27,\"I bought some oranges, watermelons, blackberries, apple juice, guava juice, milk, toothbrush, facial wash, toilet paper, shampoo from the grocery store. I saw Emily, Kayden, Andrew at the grocery store.\",\"I bought some oranges, watermelons, blackberries, apple juice, guava juice, milk, toothbrush, facial wash, toilet paper, shampoo from the grocery store. I saw Emily, Kayden, Andrew at the grocery store.\"\n16820,2021/02/27,\"I had fish and chips for lunch with Carter, Emily, Kayden, Andrew\",\"I had fish and chips for lunch with Carter, Emily, Kayden, Andrew\"\n16821,2021/02/27,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n16822,2021/02/28,\"I spent time meditation on 2021/02/28 with Andrew, Emily, Kayden.\",\"I spent time meditation on 2021/02/28 with Andrew, Emily, Kayden.\"\n16823,2021/02/28,I did swimming on 2021/02/28.,I did swimming on 2021/02/28.\n16824,2021/02/28,I had pancakes for breakfast with Andrew,I had pancakes for breakfast with Andrew\n16825,2021/02/28,\"I talked to Piper, Avery for 21 minutes in the early afternoon.\",\"I talked to Piper, Avery for 21 minutes in the early afternoon.\"\n16826,2021/03/01,\"I bought some nectarines, sports drinks, milk, mouth wash, shampoo online.\",\"I bought some nectarines, sports drinks, milk, mouth wash, shampoo online.\"\n16827,2021/03/01,I did swimming on 2021/03/01.,I did swimming on 2021/03/01.\n16828,2021/03/01,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n16829,2021/03/01,\"I spent 32 talking to Nora, Rylee on various topics late in the evening.\",\"I spent 32 talking to Nora, Rylee on various topics late in the evening.\"\n16830,2021/03/01,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n16831,2021/03/02,I did weight lifting on 2021/03/02.,I did weight lifting on 2021/03/02.\n16832,2021/03/02,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n16833,2021/03/02,I had chinese food for lunch with Claire,I had chinese food for lunch with Claire\n16834,2021/03/02,I spent 25 talking to Nevaeh on various topics in the early evening.,I spent 25 talking to Nevaeh on various topics in the early evening.\n16835,2021/03/03,I did HIIT on 2021/03/03.,I did HIIT on 2021/03/03.\n16836,2021/03/03,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n16837,2021/03/03,I ate steak for dinner.,I ate steak for dinner.\n16838,2021/03/03,\"I talked to Claire, Kinsley, Nevaeh for 51 minutes in the early afternoon.\",\"I talked to Claire, Kinsley, Nevaeh for 51 minutes in the early afternoon.\"\n16839,2021/03/03,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n16840,2021/03/04,I did swimming on 2021/03/04.,I did swimming on 2021/03/04.\n16841,2021/03/04,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n16842,2021/03/04,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n16843,2021/03/04,I ate chinese food for dinner.,I ate chinese food for dinner.\n16844,2021/03/04,I talked to Nora for 11 minutes during lunch hours.,I talked to Nora for 11 minutes during lunch hours.\n16845,2021/03/04,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n16846,2021/03/05,I did running on 2021/03/05.,I did running on 2021/03/05.\n16847,2021/03/05,\"I had toast and cheese for breakfast with Hazel, Nora, Claire, Nevaeh, Rylee, Olivia, Kinsley, Avery\",\"I had toast and cheese for breakfast with Hazel, Nora, Claire, Nevaeh, Rylee, Olivia, Kinsley, Avery\"\n16848,2021/03/05,I spent 17 talking to Claire on various topics in the early evening.,I spent 17 talking to Claire on various topics in the early evening.\n16849,2021/03/05,\"I spent 43 talking to Layla, Lydia, Hazel, Eva on various topics during lunch hours.\",\"I spent 43 talking to Layla, Lydia, Hazel, Eva on various topics during lunch hours.\"\n16850,2021/03/05,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n16851,2021/03/05,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n16852,2021/03/06,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n16853,2021/03/06,\"I had lunch with Carter, Kayden, Emily, Andrew. I ate chinese food.\",\"I had lunch with Carter, Kayden, Emily, Andrew. I ate chinese food.\"\n16854,2021/03/06,I ate chinese food for dinner.,I ate chinese food for dinner.\n16855,2021/03/06,\"I talked to Lydia, Piper, Rylee, Piper for 53 minutes late in the evening.\",\"I talked to Lydia, Piper, Rylee, Piper for 53 minutes late in the evening.\"\n16856,2021/03/06,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n16857,2021/03/06,I spent 27 minutes watching a documentary on TV today.,I spent 27 minutes watching a documentary on TV today.\n16858,2021/03/07,I did weight lifting on 2021/03/07.,I did weight lifting on 2021/03/07.\n16859,2021/03/07,\"I spent 29 talking to Lydia, Olivia, Kinsley on various topics in the early afternoon.\",\"I spent 29 talking to Lydia, Olivia, Kinsley on various topics in the early afternoon.\"\n16860,2021/03/08,\"I bought some apples, peaches, mineral water, apple juice, tea, guava juice, toilet paper, paper towel from the grocery store. I saw Andrew at the grocery store.\",\"I bought some apples, peaches, mineral water, apple juice, tea, guava juice, toilet paper, paper towel from the grocery store. I saw Andrew at the grocery store.\"\n16861,2021/03/08,I did hiking on 2021/03/08.,I did hiking on 2021/03/08.\n16862,2021/03/08,I talked to Nevaeh for 45 minutes in the early evening.,I talked to Nevaeh for 45 minutes in the early evening.\n16863,2021/03/08,I spent 14 minutes reading a book today.,I spent 14 minutes reading a book today.\n16864,2021/03/08,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n16865,2021/03/09,I did hiking on 2021/03/09.,I did hiking on 2021/03/09.\n16866,2021/03/09,\"I had sushi for lunch with Avery, Jackson, Willow\",\"I had sushi for lunch with Avery, Jackson, Willow\"\n16867,2021/03/09,\"I talked to Kinsley, Piper, Nora, Nevaeh for 40 minutes in the late afternoon.\",\"I talked to Kinsley, Piper, Nora, Nevaeh for 40 minutes in the late afternoon.\"\n16868,2021/03/09,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n16869,2021/03/10,I did running on 2021/03/10.,I did running on 2021/03/10.\n16870,2021/03/10,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n16871,2021/03/10,\"I talked to Layla, Nevaeh, Lydia for 30 minutes in the morning.\",\"I talked to Layla, Nevaeh, Lydia for 30 minutes in the morning.\"\n16872,2021/03/11,I did HIIT on 2021/03/11.,I did HIIT on 2021/03/11.\n16873,2021/03/11,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n16874,2021/03/11,I spent 36 minutes watching news on TV today.,I spent 36 minutes watching news on TV today.\n16875,2021/03/12,I did hiking on 2021/03/12.,I did hiking on 2021/03/12.\n16876,2021/03/12,I ate indian food for lunch.,I ate indian food for lunch.\n16877,2021/03/12,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n16878,2021/03/12,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n16879,2021/03/13,\"I talked to Layla, Nevaeh, Olivia for 25 minutes in the early afternoon.\",\"I talked to Layla, Nevaeh, Olivia for 25 minutes in the early afternoon.\"\n16880,2021/03/14,I did running on 2021/03/14.,I did running on 2021/03/14.\n16881,2021/03/14,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n16882,2021/03/14,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n16883,2021/03/14,I prepare indian food for dinner.,I prepare indian food for dinner.\n16884,2021/03/14,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n16885,2021/03/15,I did biking on 2021/03/15.,I did biking on 2021/03/15.\n16886,2021/03/15,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n16887,2021/03/15,I spent 40 talking to Olivia on various topics in the morning.,I spent 40 talking to Olivia on various topics in the morning.\n16888,2021/03/16,I did hiking on 2021/03/16.,I did hiking on 2021/03/16.\n16889,2021/03/16,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n16890,2021/03/16,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n16891,2021/03/17,I did biking on 2021/03/17.,I did biking on 2021/03/17.\n16892,2021/03/17,\"I had eggs, sausages, and bread for breakfast with Claire, Kinsley, Nora, Olivia\",\"I had eggs, sausages, and bread for breakfast with Claire, Kinsley, Nora, Olivia\"\n16893,2021/03/17,\"I had dinner with Emily, Andrew, Kayden. I ate pasta.\",\"I had dinner with Emily, Andrew, Kayden. I ate pasta.\"\n16894,2021/03/18,\"I bought some watermelons, mango juice, guava juice, mouth wash online.\",\"I bought some watermelons, mango juice, guava juice, mouth wash online.\"\n16895,2021/03/18,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n16896,2021/03/18,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n16897,2021/03/18,I talked to Claire for 13 minutes in the early evening.,I talked to Claire for 13 minutes in the early evening.\n16898,2021/03/19,I did weight lifting on 2021/03/19.,I did weight lifting on 2021/03/19.\n16899,2021/03/19,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n16900,2021/03/19,\"I had dinner with Kinsley, Olivia, Nora, Claire, Eva, Avery, Nevaeh, Lydia, Piper, Layla, Rylee. I ate a burger.\",\"I had dinner with Kinsley, Olivia, Nora, Claire, Eva, Avery, Nevaeh, Lydia, Piper, Layla, Rylee. I ate a burger.\"\n16901,2021/03/19,I talked to Hazel for 33 minutes in the morning.,I talked to Hazel for 33 minutes in the morning.\n16902,2021/03/19,\"I talked to Piper, Kinsley, Claire, Hazel for 17 minutes late in the evening.\",\"I talked to Piper, Kinsley, Claire, Hazel for 17 minutes late in the evening.\"\n16903,2021/03/19,I spent 25 minutes reading news today.,I spent 25 minutes reading news today.\n16904,2021/03/20,I had peanut-butter-jam for breakfast with Kayden,I had peanut-butter-jam for breakfast with Kayden\n16905,2021/03/20,I had lunch with Willow. I ate tacos.,I had lunch with Willow. I ate tacos.\n16906,2021/03/20,\"I had dinner with Carter, Emily, Andrew. I ate a burger.\",\"I had dinner with Carter, Emily, Andrew. I ate a burger.\"\n16907,2021/03/20,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n16908,2021/03/21,I did weight lifting on 2021/03/21.,I did weight lifting on 2021/03/21.\n16909,2021/03/21,\"I spent 17 talking to Piper, Lydia on various topics during lunch hours.\",\"I spent 17 talking to Piper, Lydia on various topics during lunch hours.\"\n16910,2021/03/21,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n16911,2021/03/22,\"On 2021/03/22, I took Isaiah on a date to a boba shop\",\"On 2021/03/22, I took Isaiah on a date to a boba shop\"\n16912,2021/03/22,\"I bought some strawberries, blueberries, pineapple juice, chocolate milk, guava juice, tea, mouth wash, mouthwash online.\",\"I bought some strawberries, blueberries, pineapple juice, chocolate milk, guava juice, tea, mouth wash, mouthwash online.\"\n16913,2021/03/22,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n16914,2021/03/22,I spent 40 talking to Claire on various topics in the early afternoon.,I spent 40 talking to Claire on various topics in the early afternoon.\n16915,2021/03/22,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n16916,2021/03/23,I did swimming on 2021/03/23.,I did swimming on 2021/03/23.\n16917,2021/03/23,\"I had pancakes for breakfast with Olivia, Layla, Nora\",\"I had pancakes for breakfast with Olivia, Layla, Nora\"\n16918,2021/03/23,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n16919,2021/03/24,I did swimming on 2021/03/24.,I did swimming on 2021/03/24.\n16920,2021/03/24,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n16921,2021/03/24,\"I spent 33 talking to Layla, Piper, Nevaeh, Avery on various topics late in the evening.\",\"I spent 33 talking to Layla, Piper, Nevaeh, Avery on various topics late in the evening.\"\n16922,2021/03/24,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n16923,2021/03/25,I did weight lifting on 2021/03/25.,I did weight lifting on 2021/03/25.\n16924,2021/03/25,\"I talked to Nevaeh, Piper, Eva for 39 minutes late in the evening.\",\"I talked to Nevaeh, Piper, Eva for 39 minutes late in the evening.\"\n16925,2021/03/25,I spent 34 minutes reading a book today.,I spent 34 minutes reading a book today.\n16926,2021/03/26,\"I went grocery shopping. I bought some blackberries, nectarines, pineapple juice, soda, and toothpaste, conditioner, facial wash, shaving cream\",\"I went grocery shopping. I bought some blackberries, nectarines, pineapple juice, soda, and toothpaste, conditioner, facial wash, shaving cream\"\n16927,2021/03/26,I did running on 2021/03/26.,I did running on 2021/03/26.\n16928,2021/03/26,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n16929,2021/03/26,\"I spent 38 talking to Eva, Kinsley, Nevaeh, Avery on various topics during lunch hours.\",\"I spent 38 talking to Eva, Kinsley, Nevaeh, Avery on various topics during lunch hours.\"\n16930,2021/03/26,I spent 11 minutes on social media today.,I spent 11 minutes on social media today.\n16931,2021/03/27,I did running on 2021/03/27.,I did running on 2021/03/27.\n16932,2021/03/27,\"I had sushi for dinner with Olivia, Eva, Rylee, Nora, Piper, Lydia, Kinsley, Claire, Avery, Nevaeh, Hazel\",\"I had sushi for dinner with Olivia, Eva, Rylee, Nora, Piper, Lydia, Kinsley, Claire, Avery, Nevaeh, Hazel\"\n16933,2021/03/27,\"I spent 32 talking to Piper, Avery, Lydia on various topics in the early evening.\",\"I spent 32 talking to Piper, Avery, Lydia on various topics in the early evening.\"\n16934,2021/03/27,I talked to Piper for 11 minutes during lunch hours.,I talked to Piper for 11 minutes during lunch hours.\n16935,2021/03/27,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n16936,2021/03/28,I did biking on 2021/03/28.,I did biking on 2021/03/28.\n16937,2021/03/28,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n16938,2021/03/28,I ate sandwich for dinner.,I ate sandwich for dinner.\n16939,2021/03/28,\"I spent 37 talking to Piper, Rylee on various topics in the early afternoon.\",\"I spent 37 talking to Piper, Rylee on various topics in the early afternoon.\"\n16940,2021/03/29,\"I had lunch with Kayden, Emily. I ate fish and chips.\",\"I had lunch with Kayden, Emily. I ate fish and chips.\"\n16941,2021/03/29,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n16942,2021/03/30,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n16943,2021/03/30,\"I spent 44 talking to Kinsley, Claire, Layla, Nora on various topics in the early afternoon.\",\"I spent 44 talking to Kinsley, Claire, Layla, Nora on various topics in the early afternoon.\"\n16944,2021/03/30,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n16945,2021/03/31,I did swimming on 2021/03/31.,I did swimming on 2021/03/31.\n16946,2021/03/31,I ate steak for lunch.,I ate steak for lunch.\n16947,2021/03/31,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n16948,2021/03/31,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n16949,2021/04/01,\"I went grocery shopping with Nevaeh, Claire, Layla, Piper, Piper, Lydia, Rylee. I bought some mandarins, mango juice, mineral water, orange juice, and body lotion\",\"I went grocery shopping with Nevaeh, Claire, Layla, Piper, Piper, Lydia, Rylee. I bought some mandarins, mango juice, mineral water, orange juice, and body lotion\"\n16950,2021/04/01,\"I had breakfast with Eva, Hazel, Nora, Lydia, Piper, Rylee, Avery. I ate cereals.\",\"I had breakfast with Eva, Hazel, Nora, Lydia, Piper, Rylee, Avery. I ate cereals.\"\n16951,2021/04/01,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n16952,2021/04/02,I did biking on 2021/04/02.,I did biking on 2021/04/02.\n16953,2021/04/02,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n16954,2021/04/02,I ate indian food for dinner.,I ate indian food for dinner.\n16955,2021/04/02,I spent 36 talking to Rylee on various topics in the early afternoon.,I spent 36 talking to Rylee on various topics in the early afternoon.\n16956,2021/04/02,I watched news for 6 minutes on TV today.,I watched news for 6 minutes on TV today.\n16957,2021/04/03,I did biking on 2021/04/03.,I did biking on 2021/04/03.\n16958,2021/04/03,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n16959,2021/04/03,\"I had pasta for dinner with Carter, Emily, Kayden, Andrew\",\"I had pasta for dinner with Carter, Emily, Kayden, Andrew\"\n16960,2021/04/03,\"I spent 9 talking to Layla, Lydia, Eva, Avery on various topics during lunch hours.\",\"I spent 9 talking to Layla, Lydia, Eva, Avery on various topics during lunch hours.\"\n16961,2021/04/03,I spent 8 talking to Claire on various topics in the morning.,I spent 8 talking to Claire on various topics in the morning.\n16962,2021/04/03,I spent 20 minutes on news today.,I spent 20 minutes on news today.\n16963,2021/04/03,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n16964,2021/04/04,I watched news for 33 minutes on TV today.,I watched news for 33 minutes on TV today.\n16965,2021/04/05,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n16966,2021/04/05,\"I talked to Rylee, Layla for 45 minutes in the morning.\",\"I talked to Rylee, Layla for 45 minutes in the morning.\"\n16967,2021/04/05,\"I spent 12 talking to Rylee, Avery, Hazel, Nevaeh on various topics in the early afternoon.\",\"I spent 12 talking to Rylee, Avery, Hazel, Nevaeh on various topics in the early afternoon.\"\n16968,2021/04/06,I did biking on 2021/04/06.,I did biking on 2021/04/06.\n16969,2021/04/06,\"I had oatmeal for breakfast with Emily, Carter\",\"I had oatmeal for breakfast with Emily, Carter\"\n16970,2021/04/06,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n16971,2021/04/06,\"I spent 22 talking to Piper, Olivia, Eva on various topics in the early evening.\",\"I spent 22 talking to Piper, Olivia, Eva on various topics in the early evening.\"\n16972,2021/04/06,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n16973,2021/04/07,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n16974,2021/04/07,I watched a movie for 39 minutes on TV today.,I watched a movie for 39 minutes on TV today.\n16975,2021/04/08,I did weight lifting on 2021/04/08.,I did weight lifting on 2021/04/08.\n16976,2021/04/08,\"I had fish and chips for lunch with Eva, Kinsley, Hazel, Rylee, Piper\",\"I had fish and chips for lunch with Eva, Kinsley, Hazel, Rylee, Piper\"\n16977,2021/04/09,I did swimming on 2021/04/09.,I did swimming on 2021/04/09.\n16978,2021/04/09,\"I had oatmeal for breakfast with Kayden, Emily, Andrew, Carter\",\"I had oatmeal for breakfast with Kayden, Emily, Andrew, Carter\"\n16979,2021/04/09,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n16980,2021/04/09,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n16981,2021/04/10,\"I had a burger for lunch with Benjamin, Avery, Willow, Jackson\",\"I had a burger for lunch with Benjamin, Avery, Willow, Jackson\"\n16982,2021/04/10,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n16983,2021/04/11,I spent some time working out on 2021/04/11.,I spent some time working out on 2021/04/11.\n16984,2021/04/11,I did weight lifting on 2021/04/11.,I did weight lifting on 2021/04/11.\n16985,2021/04/11,I prepare tacos for lunch.,I prepare tacos for lunch.\n16986,2021/04/11,I ate sandwich for dinner.,I ate sandwich for dinner.\n16987,2021/04/11,\"I spent 6 talking to Nevaeh, Hazel, Claire on various topics in the late afternoon.\",\"I spent 6 talking to Nevaeh, Hazel, Claire on various topics in the late afternoon.\"\n16988,2021/04/11,I spent 47 minutes on news today.,I spent 47 minutes on news today.\n16989,2021/04/12,I did HIIT on 2021/04/12.,I did HIIT on 2021/04/12.\n16990,2021/04/12,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n16991,2021/04/12,I prepare pasta for lunch.,I prepare pasta for lunch.\n16992,2021/04/12,I ate sushi for dinner.,I ate sushi for dinner.\n16993,2021/04/13,I did weight lifting on 2021/04/13.,I did weight lifting on 2021/04/13.\n16994,2021/04/13,\"I had breakfast with Layla, Eva, Piper, Piper, Avery, Rylee, Nevaeh. I ate pancakes.\",\"I had breakfast with Layla, Eva, Piper, Piper, Avery, Rylee, Nevaeh. I ate pancakes.\"\n16995,2021/04/13,\"I had steak for lunch with Carter, Emily, Andrew, Kayden\",\"I had steak for lunch with Carter, Emily, Andrew, Kayden\"\n16996,2021/04/13,I had dinner with Kayden. I ate sushi.,I had dinner with Kayden. I ate sushi.\n16997,2021/04/13,I spent 6 minutes reading news today.,I spent 6 minutes reading news today.\n16998,2021/04/13,I spent 15 minutes watching a movie on TV today.,I spent 15 minutes watching a movie on TV today.\n16999,2021/04/14,I went on a date with Hudson on 2021/04/14 at a boba shop,I went on a date with Hudson on 2021/04/14 at a boba shop\n17000,2021/04/14,\"I bought some peaches, apple juice, sports drinks, facial wash, mouth wash online.\",\"I bought some peaches, apple juice, sports drinks, facial wash, mouth wash online.\"\n17001,2021/04/14,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n17002,2021/04/14,I talked to Rylee for 34 minutes in the late afternoon.,I talked to Rylee for 34 minutes in the late afternoon.\n17003,2021/04/15,I did biking on 2021/04/15.,I did biking on 2021/04/15.\n17004,2021/04/15,\"I had pasta for lunch with Hazel, Claire, Olivia\",\"I had pasta for lunch with Hazel, Claire, Olivia\"\n17005,2021/04/15,I spent 25 talking to Piper on various topics late in the evening.,I spent 25 talking to Piper on various topics late in the evening.\n17006,2021/04/15,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n17007,2021/04/16,\"I had pasta for dinner with Andrew, Kayden, Carter\",\"I had pasta for dinner with Andrew, Kayden, Carter\"\n17008,2021/04/16,\"I spent 52 talking to Hazel, Piper on various topics in the early afternoon.\",\"I spent 52 talking to Hazel, Piper on various topics in the early afternoon.\"\n17009,2021/04/16,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n17010,2021/04/17,I did running on 2021/04/17.,I did running on 2021/04/17.\n17011,2021/04/17,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n17012,2021/04/17,I ate sushi for dinner.,I ate sushi for dinner.\n17013,2021/04/17,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n17014,2021/04/18,I spent some time meditation on 2021/04/18.,I spent some time meditation on 2021/04/18.\n17015,2021/04/18,I prepare steak for dinner.,I prepare steak for dinner.\n17016,2021/04/18,I spent 15 talking to Claire on various topics late in the evening.,I spent 15 talking to Claire on various topics late in the evening.\n17017,2021/04/18,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n17018,2021/04/18,I spent 16 minutes watching a documentary on TV today.,I spent 16 minutes watching a documentary on TV today.\n17019,2021/04/19,I did HIIT on 2021/04/19.,I did HIIT on 2021/04/19.\n17020,2021/04/19,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n17021,2021/04/19,I ate pasta for dinner.,I ate pasta for dinner.\n17022,2021/04/19,I talked to Nevaeh for 7 minutes in the late afternoon.,I talked to Nevaeh for 7 minutes in the late afternoon.\n17023,2021/04/19,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n17024,2021/04/20,I prepare sushi for lunch.,I prepare sushi for lunch.\n17025,2021/04/20,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n17026,2021/04/21,I really enjoyed yoga on 2021/04/21,I really enjoyed yoga on 2021/04/21\n17027,2021/04/21,\"I had pancakes for breakfast with Jackson, Willow\",\"I had pancakes for breakfast with Jackson, Willow\"\n17028,2021/04/22,I went on a date with Natalia on 2021/04/22 at a boba shop,I went on a date with Natalia on 2021/04/22 at a boba shop\n17029,2021/04/22,I did weight lifting on 2021/04/22.,I did weight lifting on 2021/04/22.\n17030,2021/04/22,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n17031,2021/04/22,I had lunch with Andrew. I ate chinese food.,I had lunch with Andrew. I ate chinese food.\n17032,2021/04/22,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n17033,2021/04/22,\"I spent 14 talking to Layla, Avery, Olivia on various topics late in the evening.\",\"I spent 14 talking to Layla, Avery, Olivia on various topics late in the evening.\"\n17034,2021/04/22,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n17035,2021/04/23,\"I bought some strawberries, mangos, peaches, soda, sports drinks, milk, pineapple juice, body lotion, shampoo, toothpaste, toothbrush from the grocery store. I saw Jackson at the grocery store.\",\"I bought some strawberries, mangos, peaches, soda, sports drinks, milk, pineapple juice, body lotion, shampoo, toothpaste, toothbrush from the grocery store. I saw Jackson at the grocery store.\"\n17036,2021/04/23,I did HIIT on 2021/04/23.,I did HIIT on 2021/04/23.\n17037,2021/04/23,I spent 37 talking to Rylee on various topics in the morning.,I spent 37 talking to Rylee on various topics in the morning.\n17038,2021/04/23,\"I spent 28 talking to Lydia, Nora, Piper, Claire on various topics in the early afternoon.\",\"I spent 28 talking to Lydia, Nora, Piper, Claire on various topics in the early afternoon.\"\n17039,2021/04/23,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n17040,2021/04/24,\"I was baking brownies on 2021/04/24 with Olivia, Rylee, Nevaeh at my place\",\"I was baking brownies on 2021/04/24 with Olivia, Rylee, Nevaeh at my place\"\n17041,2021/04/24,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n17042,2021/04/24,I prepare a burger for lunch.,I prepare a burger for lunch.\n17043,2021/04/24,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n17044,2021/04/25,I did weight lifting on 2021/04/25.,I did weight lifting on 2021/04/25.\n17045,2021/04/25,\"I had toast and cheese for breakfast with Claire, Lydia, Layla, Piper, Olivia, Piper\",\"I had toast and cheese for breakfast with Claire, Lydia, Layla, Piper, Olivia, Piper\"\n17046,2021/04/25,\"I talked to Kinsley, Lydia, Layla, Avery for 33 minutes in the morning.\",\"I talked to Kinsley, Lydia, Layla, Avery for 33 minutes in the morning.\"\n17047,2021/04/25,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n17048,2021/04/26,I did biking on 2021/04/26.,I did biking on 2021/04/26.\n17049,2021/04/26,I ate pasta for lunch.,I ate pasta for lunch.\n17050,2021/04/26,I ate indian food for dinner.,I ate indian food for dinner.\n17051,2021/04/26,I spent 51 talking to Hazel on various topics during lunch hours.,I spent 51 talking to Hazel on various topics during lunch hours.\n17052,2021/04/26,I talked to Nora for 28 minutes in the morning.,I talked to Nora for 28 minutes in the morning.\n17053,2021/04/26,I watched a tv series for 37 minutes on TV today.,I watched a tv series for 37 minutes on TV today.\n17054,2021/04/27,I did weight lifting on 2021/04/27.,I did weight lifting on 2021/04/27.\n17055,2021/04/27,\"I had breakfast with Carter, Kayden. I ate pancakes.\",\"I had breakfast with Carter, Kayden. I ate pancakes.\"\n17056,2021/04/27,I ate sushi for lunch.,I ate sushi for lunch.\n17057,2021/04/27,\"I had chinese food for dinner with Nevaeh, Claire, Lydia, Nora, Avery, Olivia, Hazel, Piper, Rylee, Layla\",\"I had chinese food for dinner with Nevaeh, Claire, Lydia, Nora, Avery, Olivia, Hazel, Piper, Rylee, Layla\"\n17058,2021/04/27,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n17059,2021/04/27,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n17060,2021/04/28,Kayden for his/her  and I went for an annual dental cleaning and checkup at the private clinic on 2021/04/28.,Kayden for his/her  and I went for an annual dental cleaning and checkup at the private clinic on 2021/04/28.\n17061,2021/04/28,I went on a date with Aaliyah on 2021/04/28 at a restaurant,I went on a date with Aaliyah on 2021/04/28 at a restaurant\n17062,2021/04/28,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n17063,2021/04/28,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n17064,2021/04/29,\"I spent time gardening on 2021/04/29 with Benjamin, Avery, Jackson.\",\"I spent time gardening on 2021/04/29 with Benjamin, Avery, Jackson.\"\n17065,2021/04/29,I spent 28 talking to Claire on various topics in the early evening.,I spent 28 talking to Claire on various topics in the early evening.\n17066,2021/04/29,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n17067,2021/04/29,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n17068,2021/04/30,I went on a date with Jaxson on 2021/04/30 at a restaurant,I went on a date with Jaxson on 2021/04/30 at a restaurant\n17069,2021/04/30,I did weight lifting on 2021/04/30.,I did weight lifting on 2021/04/30.\n17070,2021/04/30,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17071,2021/04/30,\"I had lunch with Claire, Layla, Lydia, Avery, Piper, Rylee, Hazel. I ate tacos.\",\"I had lunch with Claire, Layla, Lydia, Avery, Piper, Rylee, Hazel. I ate tacos.\"\n17072,2021/05/01,\"I bought some cherres, mangos, oranges, blueberries, mineral water, facial wash, mouth wash from the grocery store. I saw Piper, Olivia, Avery, Claire, Kinsley, Layla at the grocery store.\",\"I bought some cherres, mangos, oranges, blueberries, mineral water, facial wash, mouth wash from the grocery store. I saw Piper, Olivia, Avery, Claire, Kinsley, Layla at the grocery store.\"\n17073,2021/05/01,I did swimming on 2021/05/01.,I did swimming on 2021/05/01.\n17074,2021/05/01,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n17075,2021/05/01,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n17076,2021/05/02,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n17077,2021/05/02,I ate tacos for lunch.,I ate tacos for lunch.\n17078,2021/05/02,I prepare pasta for dinner.,I prepare pasta for dinner.\n17079,2021/05/02,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n17080,2021/05/03,I did swimming on 2021/05/03.,I did swimming on 2021/05/03.\n17081,2021/05/03,I had tacos for dinner with Hazel,I had tacos for dinner with Hazel\n17082,2021/05/03,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n17083,2021/05/04,I did swimming on 2021/05/04.,I did swimming on 2021/05/04.\n17084,2021/05/04,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n17085,2021/05/04,I ate tacos for dinner.,I ate tacos for dinner.\n17086,2021/05/04,\"I spent 43 talking to Claire, Rylee, Piper on various topics in the early afternoon.\",\"I spent 43 talking to Claire, Rylee, Piper on various topics in the early afternoon.\"\n17087,2021/05/04,\"I talked to Hazel, Piper for 42 minutes in the early evening.\",\"I talked to Hazel, Piper for 42 minutes in the early evening.\"\n17088,2021/05/04,I spent 23 minutes on social media today.,I spent 23 minutes on social media today.\n17089,2021/05/05,\"I talked to Olivia, Hazel for 26 minutes in the morning.\",\"I talked to Olivia, Hazel for 26 minutes in the morning.\"\n17090,2021/05/05,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n17091,2021/05/06,\"I had lunch with Andrew, Emily. I ate sandwich.\",\"I had lunch with Andrew, Emily. I ate sandwich.\"\n17092,2021/05/06,\"I talked to Piper, Avery, Rylee for 44 minutes in the early evening.\",\"I talked to Piper, Avery, Rylee for 44 minutes in the early evening.\"\n17093,2021/05/07,I did biking on 2021/05/07.,I did biking on 2021/05/07.\n17094,2021/05/07,\"I had breakfast with Willow, Benjamin, Jackson. I ate cereals.\",\"I had breakfast with Willow, Benjamin, Jackson. I ate cereals.\"\n17095,2021/05/07,\"I had lunch with Kayden, Carter, Andrew, Emily. I ate chinese food.\",\"I had lunch with Kayden, Carter, Andrew, Emily. I ate chinese food.\"\n17096,2021/05/07,I watched news for 52 minutes on TV today.,I watched news for 52 minutes on TV today.\n17097,2021/05/08,\"I had fish and chips for lunch with Olivia, Rylee, Hazel\",\"I had fish and chips for lunch with Olivia, Rylee, Hazel\"\n17098,2021/05/08,I had dinner. I ate steak.,I had dinner. I ate steak.\n17099,2021/05/08,\"I talked to Layla, Olivia for 50 minutes during lunch hours.\",\"I talked to Layla, Olivia for 50 minutes during lunch hours.\"\n17100,2021/05/08,\"I spent 44 talking to Eva, Kinsley, Nevaeh, Olivia on various topics in the late afternoon.\",\"I spent 44 talking to Eva, Kinsley, Nevaeh, Olivia on various topics in the late afternoon.\"\n17101,2021/05/08,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n17102,2021/05/08,I spent 12 minutes watching a movie on TV today.,I spent 12 minutes watching a movie on TV today.\n17103,2021/05/09,I talked to Lydia for 37 minutes in the early evening.,I talked to Lydia for 37 minutes in the early evening.\n17104,2021/05/09,I watched a movie for 34 minutes on TV today.,I watched a movie for 34 minutes on TV today.\n17105,2021/05/10,\"On 2021/05/10, I took Skylar on a date to a restaurant\",\"On 2021/05/10, I took Skylar on a date to a restaurant\"\n17106,2021/05/10,I did hiking on 2021/05/10.,I did hiking on 2021/05/10.\n17107,2021/05/10,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n17108,2021/05/10,I prepare sushi for dinner.,I prepare sushi for dinner.\n17109,2021/05/10,\"I spent 14 talking to Avery, Nora on various topics during lunch hours.\",\"I spent 14 talking to Avery, Nora on various topics during lunch hours.\"\n17110,2021/05/10,I watched a tv series for 49 minutes on TV today.,I watched a tv series for 49 minutes on TV today.\n17111,2021/05/11,I did swimming on 2021/05/11.,I did swimming on 2021/05/11.\n17112,2021/05/11,\"I had toast and cheese for breakfast with Emily, Carter, Andrew\",\"I had toast and cheese for breakfast with Emily, Carter, Andrew\"\n17113,2021/05/11,\"I had dinner with Eva, Piper, Nora, Olivia, Rylee, Layla, Piper, Claire, Avery, Kinsley, Nevaeh, Lydia, Hazel. I ate indian food.\",\"I had dinner with Eva, Piper, Nora, Olivia, Rylee, Layla, Piper, Claire, Avery, Kinsley, Nevaeh, Lydia, Hazel. I ate indian food.\"\n17114,2021/05/11,\"I spent 35 talking to Avery, Olivia on various topics during lunch hours.\",\"I spent 35 talking to Avery, Olivia on various topics during lunch hours.\"\n17115,2021/05/11,\"I talked to Avery, Piper, Lydia for 43 minutes in the early evening.\",\"I talked to Avery, Piper, Lydia for 43 minutes in the early evening.\"\n17116,2021/05/12,I did weight lifting on 2021/05/12.,I did weight lifting on 2021/05/12.\n17117,2021/05/12,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n17118,2021/05/12,I prepare pasta for dinner.,I prepare pasta for dinner.\n17119,2021/05/12,I spent 45 talking to Layla on various topics in the late afternoon.,I spent 45 talking to Layla on various topics in the late afternoon.\n17120,2021/05/13,\"I went grocery shopping. I bought some bananas, pineapples, cherres, milk, sports drinks, tea, guava juice, and toothpaste, paper towel\",\"I went grocery shopping. I bought some bananas, pineapples, cherres, milk, sports drinks, tea, guava juice, and toothpaste, paper towel\"\n17121,2021/05/13,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n17122,2021/05/13,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n17123,2021/05/13,\"I spent 39 talking to Kinsley, Hazel, Lydia, Eva on various topics in the morning.\",\"I spent 39 talking to Kinsley, Hazel, Lydia, Eva on various topics in the morning.\"\n17124,2021/05/14,I did running on 2021/05/14.,I did running on 2021/05/14.\n17125,2021/05/14,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n17126,2021/05/14,I spent 45 minutes reading a book today.,I spent 45 minutes reading a book today.\n17127,2021/05/14,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n17128,2021/05/15,I went on a date with Madison on 2021/05/15 at a restaurant,I went on a date with Madison on 2021/05/15 at a restaurant\n17129,2021/05/15,\"I bought some cherres, oranges, mango juice, guava juice, tea, mouth wash, paper towel from the grocery store. I saw Kinsley, Rylee, Piper, Piper, Eva, Nevaeh, Olivia, Lydia, Avery, Hazel at the grocery store.\",\"I bought some cherres, oranges, mango juice, guava juice, tea, mouth wash, paper towel from the grocery store. I saw Kinsley, Rylee, Piper, Piper, Eva, Nevaeh, Olivia, Lydia, Avery, Hazel at the grocery store.\"\n17130,2021/05/15,I did HIIT on 2021/05/15.,I did HIIT on 2021/05/15.\n17131,2021/05/15,I spent 13 minutes reading social media today.,I spent 13 minutes reading social media today.\n17132,2021/05/15,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n17133,2021/05/16,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n17134,2021/05/16,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n17135,2021/05/17,\"I had lunch with Andrew, Carter. I ate pasta.\",\"I had lunch with Andrew, Carter. I ate pasta.\"\n17136,2021/05/17,\"I spent 50 talking to Nora, Hazel, Nevaeh on various topics in the early evening.\",\"I spent 50 talking to Nora, Hazel, Nevaeh on various topics in the early evening.\"\n17137,2021/05/17,I spent 19 minutes reading social media today.,I spent 19 minutes reading social media today.\n17138,2021/05/18,I did weight lifting on 2021/05/18.,I did weight lifting on 2021/05/18.\n17139,2021/05/18,I spent 47 talking to Layla on various topics in the late afternoon.,I spent 47 talking to Layla on various topics in the late afternoon.\n17140,2021/05/18,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n17141,2021/05/19,\"I bought some blackberries, blueberries, apples, raspberries, orange juice, coffee, mango juice, body lotion, toothpaste, shaving cream from the grocery store. I saw Avery, Jackson, Benjamin, Willow at the grocery store.\",\"I bought some blackberries, blueberries, apples, raspberries, orange juice, coffee, mango juice, body lotion, toothpaste, shaving cream from the grocery store. I saw Avery, Jackson, Benjamin, Willow at the grocery store.\"\n17142,2021/05/19,I did biking on 2021/05/19.,I did biking on 2021/05/19.\n17143,2021/05/19,\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Emily, Andrew\",\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Emily, Andrew\"\n17144,2021/05/19,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n17145,2021/05/19,I ate chinese food for dinner.,I ate chinese food for dinner.\n17146,2021/05/19,I spent 31 talking to Olivia on various topics during lunch hours.,I spent 31 talking to Olivia on various topics during lunch hours.\n17147,2021/05/19,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n17148,2021/05/19,I watched news for 48 minutes on TV today.,I watched news for 48 minutes on TV today.\n17149,2021/05/20,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n17150,2021/05/20,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n17151,2021/05/20,\"I spent 45 talking to Rylee, Olivia, Lydia on various topics late in the evening.\",\"I spent 45 talking to Rylee, Olivia, Lydia on various topics late in the evening.\"\n17152,2021/05/20,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n17153,2021/05/21,I went for an annual vision checkup on 2021/05/21 at the hospital.,I went for an annual vision checkup on 2021/05/21 at the hospital.\n17154,2021/05/21,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n17155,2021/05/21,\"I had lunch with Rylee, Nora, Avery, Piper, Layla, Kinsley. I ate indian food.\",\"I had lunch with Rylee, Nora, Avery, Piper, Layla, Kinsley. I ate indian food.\"\n17156,2021/05/21,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n17157,2021/05/21,I watched a tv series for 17 minutes on TV today.,I watched a tv series for 17 minutes on TV today.\n17158,2021/05/22,I did hiking on 2021/05/22.,I did hiking on 2021/05/22.\n17159,2021/05/22,\"I had steak for dinner with Emily, Kayden\",\"I had steak for dinner with Emily, Kayden\"\n17160,2021/05/22,I talked to Kinsley for 26 minutes in the early evening.,I talked to Kinsley for 26 minutes in the early evening.\n17161,2021/05/22,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n17162,2021/05/23,I did running on 2021/05/23.,I did running on 2021/05/23.\n17163,2021/05/23,I ate cereals for breakfast.,I ate cereals for breakfast.\n17164,2021/05/23,I ate chinese food for dinner.,I ate chinese food for dinner.\n17165,2021/05/23,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n17166,2021/05/24,I did swimming on 2021/05/24.,I did swimming on 2021/05/24.\n17167,2021/05/24,\"I had lunch with Kayden, Andrew, Carter, Emily. I ate indian food.\",\"I had lunch with Kayden, Andrew, Carter, Emily. I ate indian food.\"\n17168,2021/05/24,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n17169,2021/05/25,I did swimming on 2021/05/25.,I did swimming on 2021/05/25.\n17170,2021/05/25,\"I had breakfast with Avery, Benjamin, Jackson, Willow. I ate cereals.\",\"I had breakfast with Avery, Benjamin, Jackson, Willow. I ate cereals.\"\n17171,2021/05/25,I prepare a burger for dinner.,I prepare a burger for dinner.\n17172,2021/05/25,\"I talked to Hazel, Piper, Piper for 12 minutes in the morning.\",\"I talked to Hazel, Piper, Piper for 12 minutes in the morning.\"\n17173,2021/05/25,I spent 15 minutes on social media today.,I spent 15 minutes on social media today.\n17174,2021/05/25,I spent 10 minutes watching news on TV today.,I spent 10 minutes watching news on TV today.\n17175,2021/05/26,I spent 29 talking to Piper on various topics in the early afternoon.,I spent 29 talking to Piper on various topics in the early afternoon.\n17176,2021/05/26,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n17177,2021/05/28,I did swimming on 2021/05/28.,I did swimming on 2021/05/28.\n17178,2021/05/28,I ate sandwich for lunch.,I ate sandwich for lunch.\n17179,2021/05/28,I talked to Kinsley for 37 minutes in the morning.,I talked to Kinsley for 37 minutes in the morning.\n17180,2021/05/29,I did running on 2021/05/29.,I did running on 2021/05/29.\n17181,2021/05/29,\"I had lunch with Claire, Nevaeh, Olivia. I ate sandwich.\",\"I had lunch with Claire, Nevaeh, Olivia. I ate sandwich.\"\n17182,2021/05/29,\"I spent 34 talking to Lydia, Layla, Nora on various topics in the early afternoon.\",\"I spent 34 talking to Lydia, Layla, Nora on various topics in the early afternoon.\"\n17183,2021/05/29,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n17184,2021/05/30,\"I had toast and cheese for breakfast with Benjamin, Avery\",\"I had toast and cheese for breakfast with Benjamin, Avery\"\n17185,2021/05/30,\"I had dinner with Layla, Piper, Lydia, Rylee, Nevaeh. I ate steak.\",\"I had dinner with Layla, Piper, Lydia, Rylee, Nevaeh. I ate steak.\"\n17186,2021/05/30,\"I talked to Layla, Hazel, Nora, Nevaeh for 35 minutes during lunch hours.\",\"I talked to Layla, Hazel, Nora, Nevaeh for 35 minutes during lunch hours.\"\n17187,2021/05/30,I spent 33 minutes reading a book today.,I spent 33 minutes reading a book today.\n17188,2021/05/30,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n17189,2021/05/31,\"I bought some mangos, guava juice, apple juice, shampoo, mouth wash, conditioner from the grocery store. I saw Avery, Willow, Jackson at the grocery store.\",\"I bought some mangos, guava juice, apple juice, shampoo, mouth wash, conditioner from the grocery store. I saw Avery, Willow, Jackson at the grocery store.\"\n17190,2021/05/31,I had tacos for dinner with Carter,I had tacos for dinner with Carter\n17191,2021/05/31,I spent 13 talking to Nora on various topics in the early evening.,I spent 13 talking to Nora on various topics in the early evening.\n17192,2021/05/31,\"I talked to Claire, Piper, Kinsley for 30 minutes in the early afternoon.\",\"I talked to Claire, Piper, Kinsley for 30 minutes in the early afternoon.\"\n17193,2021/05/31,I watched a documentary for 20 minutes on TV today.,I watched a documentary for 20 minutes on TV today.\n17194,2021/06/01,I did swimming on 2021/06/01.,I did swimming on 2021/06/01.\n17195,2021/06/01,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n17196,2021/06/01,\"I had steak for dinner with Emily, Kayden, Andrew, Carter\",\"I had steak for dinner with Emily, Kayden, Andrew, Carter\"\n17197,2021/06/02,I really enjoyed meditation on 2021/06/02,I really enjoyed meditation on 2021/06/02\n17198,2021/06/02,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n17199,2021/06/02,\"I had chinese food for lunch with Kayden, Carter\",\"I had chinese food for lunch with Kayden, Carter\"\n17200,2021/06/02,I had sandwich for dinner with Kayden,I had sandwich for dinner with Kayden\n17201,2021/06/03,I did weight lifting on 2021/06/03.,I did weight lifting on 2021/06/03.\n17202,2021/06/03,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n17203,2021/06/03,I ate indian food for dinner.,I ate indian food for dinner.\n17204,2021/06/03,I spent 23 talking to Hazel on various topics in the early evening.,I spent 23 talking to Hazel on various topics in the early evening.\n17205,2021/06/04,my parents for their and I went for an annual dental cleaning and checkup at the university hospital on 2021/06/04.,my parents for their and I went for an annual dental cleaning and checkup at the university hospital on 2021/06/04.\n17206,2021/06/04,\"I had cereals for breakfast with Kinsley, Piper, Avery\",\"I had cereals for breakfast with Kinsley, Piper, Avery\"\n17207,2021/06/04,I had sushi for dinner with Willow,I had sushi for dinner with Willow\n17208,2021/06/04,\"I spent 28 talking to Olivia, Avery on various topics in the late afternoon.\",\"I spent 28 talking to Olivia, Avery on various topics in the late afternoon.\"\n17209,2021/06/04,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n17210,2021/06/04,I spent 10 minutes watching a movie on TV today.,I spent 10 minutes watching a movie on TV today.\n17211,2021/06/05,I did HIIT on 2021/06/05.,I did HIIT on 2021/06/05.\n17212,2021/06/05,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n17213,2021/06/05,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n17214,2021/06/05,\"I spent 49 talking to Nevaeh, Piper, Avery, Rylee on various topics in the early evening.\",\"I spent 49 talking to Nevaeh, Piper, Avery, Rylee on various topics in the early evening.\"\n17215,2021/06/05,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n17216,2021/06/05,I spent 45 minutes watching a documentary on TV today.,I spent 45 minutes watching a documentary on TV today.\n17217,2021/06/06,I really enjoyed gardening on 2021/06/06,I really enjoyed gardening on 2021/06/06\n17218,2021/06/06,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17219,2021/06/06,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n17220,2021/06/06,\"I talked to Layla, Rylee, Olivia, Eva for 11 minutes in the early evening.\",\"I talked to Layla, Rylee, Olivia, Eva for 11 minutes in the early evening.\"\n17221,2021/06/06,\"I spent 39 talking to Lydia, Rylee, Claire, Nora on various topics late in the evening.\",\"I spent 39 talking to Lydia, Rylee, Claire, Nora on various topics late in the evening.\"\n17222,2021/06/06,I watched a tv series for 34 minutes on TV today.,I watched a tv series for 34 minutes on TV today.\n17223,2021/06/07,I did weight lifting on 2021/06/07.,I did weight lifting on 2021/06/07.\n17224,2021/06/07,\"I had peanut-butter-jam for breakfast with Emily, Andrew, Carter\",\"I had peanut-butter-jam for breakfast with Emily, Andrew, Carter\"\n17225,2021/06/07,I ate sushi for lunch.,I ate sushi for lunch.\n17226,2021/06/07,I spent 54 talking to Rylee on various topics in the early afternoon.,I spent 54 talking to Rylee on various topics in the early afternoon.\n17227,2021/06/07,\"I spent 36 talking to Nevaeh, Lydia on various topics in the morning.\",\"I spent 36 talking to Nevaeh, Lydia on various topics in the morning.\"\n17228,2021/06/07,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n17229,2021/06/08,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n17230,2021/06/08,\"I had lunch with Lydia, Piper, Nora. I ate sandwich.\",\"I had lunch with Lydia, Piper, Nora. I ate sandwich.\"\n17231,2021/06/08,\"I spent 6 talking to Lydia, Eva on various topics late in the evening.\",\"I spent 6 talking to Lydia, Eva on various topics late in the evening.\"\n17232,2021/06/08,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n17233,2021/06/09,\"I went grocery shopping with Andrew. I bought some apples, bananas, cherres, mangos, coffee, chocolate milk, pineapple juice, and toilet paper, toothbrush\",\"I went grocery shopping with Andrew. I bought some apples, bananas, cherres, mangos, coffee, chocolate milk, pineapple juice, and toilet paper, toothbrush\"\n17234,2021/06/09,I did running on 2021/06/09.,I did running on 2021/06/09.\n17235,2021/06/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n17236,2021/06/09,\"I had indian food for lunch with Emily, Kayden, Carter, Andrew\",\"I had indian food for lunch with Emily, Kayden, Carter, Andrew\"\n17237,2021/06/09,I had dinner. I ate steak.,I had dinner. I ate steak.\n17238,2021/06/09,\"I spent 29 talking to Rylee, Kinsley, Olivia on various topics in the late afternoon.\",\"I spent 29 talking to Rylee, Kinsley, Olivia on various topics in the late afternoon.\"\n17239,2021/06/09,I spent 11 talking to Kinsley on various topics in the early afternoon.,I spent 11 talking to Kinsley on various topics in the early afternoon.\n17240,2021/06/10,I spent some time working out on 2021/06/10.,I spent some time working out on 2021/06/10.\n17241,2021/06/10,I did running on 2021/06/10.,I did running on 2021/06/10.\n17242,2021/06/10,\"I had indian food for lunch with Nora, Claire, Nevaeh, Piper, Olivia\",\"I had indian food for lunch with Nora, Claire, Nevaeh, Piper, Olivia\"\n17243,2021/06/11,\"I went grocery shopping with Willow, Avery. I bought some apricots, coffee, pineapple juice, and shampoo, toothpaste\",\"I went grocery shopping with Willow, Avery. I bought some apricots, coffee, pineapple juice, and shampoo, toothpaste\"\n17244,2021/06/11,I talked to Layla for 28 minutes in the early evening.,I talked to Layla for 28 minutes in the early evening.\n17245,2021/06/11,\"I talked to Claire, Nevaeh, Nora, Hazel for 41 minutes in the late afternoon.\",\"I talked to Claire, Nevaeh, Nora, Hazel for 41 minutes in the late afternoon.\"\n17246,2021/06/11,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n17247,2021/06/11,I watched a documentary for 22 minutes on TV today.,I watched a documentary for 22 minutes on TV today.\n17248,2021/06/12,I did biking on 2021/06/12.,I did biking on 2021/06/12.\n17249,2021/06/12,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17250,2021/06/12,I had fish and chips for dinner with Benjamin,I had fish and chips for dinner with Benjamin\n17251,2021/06/12,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n17252,2021/06/12,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n17253,2021/06/13,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n17254,2021/06/13,\"I had indian food for lunch with Carter, Emily, Kayden, Andrew\",\"I had indian food for lunch with Carter, Emily, Kayden, Andrew\"\n17255,2021/06/13,I ate chinese food for dinner.,I ate chinese food for dinner.\n17256,2021/06/13,I spent 45 minutes watching a movie on TV today.,I spent 45 minutes watching a movie on TV today.\n17257,2021/06/14,I really enjoyed yoga on 2021/06/14,I really enjoyed yoga on 2021/06/14\n17258,2021/06/14,I did swimming on 2021/06/14.,I did swimming on 2021/06/14.\n17259,2021/06/14,\"I had eggs, sausages, and bread for breakfast with Carter, Andrew\",\"I had eggs, sausages, and bread for breakfast with Carter, Andrew\"\n17260,2021/06/14,I ate steak for lunch.,I ate steak for lunch.\n17261,2021/06/14,\"I spent 48 talking to Hazel, Nora, Olivia on various topics in the early afternoon.\",\"I spent 48 talking to Hazel, Nora, Olivia on various topics in the early afternoon.\"\n17262,2021/06/14,I spent 29 minutes on news today.,I spent 29 minutes on news today.\n17263,2021/06/14,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n17264,2021/06/15,\"On 2021/06/15, I took Xavier on a date to a park\",\"On 2021/06/15, I took Xavier on a date to a park\"\n17265,2021/06/15,I ate a burger for lunch.,I ate a burger for lunch.\n17266,2021/06/15,I spent 5 minutes reading social media today.,I spent 5 minutes reading social media today.\n17267,2021/06/16,\"I went grocery shopping. I bought some bananas, raspberries, apple juice, and body lotion\",\"I went grocery shopping. I bought some bananas, raspberries, apple juice, and body lotion\"\n17268,2021/06/16,I did hiking on 2021/06/16.,I did hiking on 2021/06/16.\n17269,2021/06/16,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n17270,2021/06/17,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n17271,2021/06/17,I prepare indian food for lunch.,I prepare indian food for lunch.\n17272,2021/06/17,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n17273,2021/06/17,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n17274,2021/06/17,I spent 17 minutes watching a documentary on TV today.,I spent 17 minutes watching a documentary on TV today.\n17275,2021/06/18,I had lunch with Kayden. I ate steak.,I had lunch with Kayden. I ate steak.\n17276,2021/06/18,\"I spent 30 talking to Rylee, Olivia on various topics in the early evening.\",\"I spent 30 talking to Rylee, Olivia on various topics in the early evening.\"\n17277,2021/06/18,I spent 31 minutes watching a movie on TV today.,I spent 31 minutes watching a movie on TV today.\n17278,2021/06/19,I watched a documentary for 25 minutes on TV today.,I watched a documentary for 25 minutes on TV today.\n17279,2021/06/20,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n17280,2021/06/20,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n17281,2021/06/20,I spent 9 minutes watching a documentary on TV today.,I spent 9 minutes watching a documentary on TV today.\n17282,2021/06/21,I did hiking on 2021/06/21.,I did hiking on 2021/06/21.\n17283,2021/06/21,I had breakfast with Carter. I ate oatmeal.,I had breakfast with Carter. I ate oatmeal.\n17284,2021/06/21,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n17285,2021/06/21,I had dinner with Carter. I ate fish and chips.,I had dinner with Carter. I ate fish and chips.\n17286,2021/06/21,I spent 28 minutes reading news today.,I spent 28 minutes reading news today.\n17287,2021/06/22,\"I had lunch with Kayden, Carter, Emily, Andrew. I ate steak.\",\"I had lunch with Kayden, Carter, Emily, Andrew. I ate steak.\"\n17288,2021/06/22,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n17289,2021/06/23,I ate pasta for lunch.,I ate pasta for lunch.\n17290,2021/06/23,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n17291,2021/06/23,\"I talked to Olivia, Eva, Hazel, Piper for 5 minutes in the morning.\",\"I talked to Olivia, Eva, Hazel, Piper for 5 minutes in the morning.\"\n17292,2021/06/23,\"I talked to Piper, Claire, Kinsley for 43 minutes in the late afternoon.\",\"I talked to Piper, Claire, Kinsley for 43 minutes in the late afternoon.\"\n17293,2021/06/23,I watched news for 14 minutes on TV today.,I watched news for 14 minutes on TV today.\n17294,2021/06/24,I spent some time working out on 2021/06/24.,I spent some time working out on 2021/06/24.\n17295,2021/06/24,\"I went grocery shopping. I bought some mandarins, orange juice, and paper towel, shaving cream, mouth wash, mouthwash\",\"I went grocery shopping. I bought some mandarins, orange juice, and paper towel, shaving cream, mouth wash, mouthwash\"\n17296,2021/06/24,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n17297,2021/06/24,I ate sandwich for lunch.,I ate sandwich for lunch.\n17298,2021/06/24,I ate steak for dinner.,I ate steak for dinner.\n17299,2021/06/25,I did swimming on 2021/06/25.,I did swimming on 2021/06/25.\n17300,2021/06/25,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n17301,2021/06/25,\"I spent 29 talking to Piper, Claire on various topics in the morning.\",\"I spent 29 talking to Piper, Claire on various topics in the morning.\"\n17302,2021/06/26,I did hiking on 2021/06/26.,I did hiking on 2021/06/26.\n17303,2021/06/26,I spent 34 minutes on news today.,I spent 34 minutes on news today.\n17304,2021/06/26,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n17305,2021/06/27,\"I had dinner with Andrew, Carter, Emily. I ate indian food.\",\"I had dinner with Andrew, Carter, Emily. I ate indian food.\"\n17306,2021/06/27,\"I talked to Nora, Layla, Nevaeh, Claire for 41 minutes in the early evening.\",\"I talked to Nora, Layla, Nevaeh, Claire for 41 minutes in the early evening.\"\n17307,2021/06/27,\"I talked to Hazel, Layla, Avery, Lydia for 50 minutes in the morning.\",\"I talked to Hazel, Layla, Avery, Lydia for 50 minutes in the morning.\"\n17308,2021/06/27,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n17309,2021/06/27,I spent 22 minutes watching a tv series on TV today.,I spent 22 minutes watching a tv series on TV today.\n17310,2021/06/28,I went on a date with Elias on 2021/06/28 at a restaurant,I went on a date with Elias on 2021/06/28 at a restaurant\n17311,2021/06/28,I ate sushi for lunch.,I ate sushi for lunch.\n17312,2021/06/28,I prepare pasta for dinner.,I prepare pasta for dinner.\n17313,2021/06/28,I spent 17 talking to Nevaeh on various topics in the morning.,I spent 17 talking to Nevaeh on various topics in the morning.\n17314,2021/06/28,I talked to Claire for 49 minutes in the late afternoon.,I talked to Claire for 49 minutes in the late afternoon.\n17315,2021/06/28,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n17316,2021/06/28,I watched a movie for 6 minutes on TV today.,I watched a movie for 6 minutes on TV today.\n17317,2021/06/29,I did HIIT on 2021/06/29.,I did HIIT on 2021/06/29.\n17318,2021/06/29,I prepare a burger for lunch.,I prepare a burger for lunch.\n17319,2021/06/29,I had pasta for dinner with Lydia,I had pasta for dinner with Lydia\n17320,2021/06/29,I talked to Piper for 31 minutes in the morning.,I talked to Piper for 31 minutes in the morning.\n17321,2021/06/29,I spent 35 minutes reading social media today.,I spent 35 minutes reading social media today.\n17322,2021/06/30,I ate steak for lunch.,I ate steak for lunch.\n17323,2021/06/30,I ate indian food for dinner.,I ate indian food for dinner.\n17324,2021/06/30,\"I talked to Olivia, Piper for 11 minutes late in the evening.\",\"I talked to Olivia, Piper for 11 minutes late in the evening.\"\n17325,2021/06/30,I talked to Piper for 27 minutes in the morning.,I talked to Piper for 27 minutes in the morning.\n17326,2021/07/01,I did weight lifting on 2021/07/01.,I did weight lifting on 2021/07/01.\n17327,2021/07/01,\"I had breakfast with Carter, Kayden, Emily. I ate cereals.\",\"I had breakfast with Carter, Kayden, Emily. I ate cereals.\"\n17328,2021/07/01,I prepare a burger for lunch.,I prepare a burger for lunch.\n17329,2021/07/01,I watched a movie for 54 minutes on TV today.,I watched a movie for 54 minutes on TV today.\n17330,2021/07/02,\"I had toast and cheese for breakfast with Avery, Benjamin, Willow\",\"I had toast and cheese for breakfast with Avery, Benjamin, Willow\"\n17331,2021/07/02,I prepare tacos for lunch.,I prepare tacos for lunch.\n17332,2021/07/03,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n17333,2021/07/03,I prepare a burger for lunch.,I prepare a burger for lunch.\n17334,2021/07/03,I talked to Avery for 36 minutes during lunch hours.,I talked to Avery for 36 minutes during lunch hours.\n17335,2021/07/03,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n17336,2021/07/04,\"I had peanut-butter-jam for breakfast with Jackson, Avery\",\"I had peanut-butter-jam for breakfast with Jackson, Avery\"\n17337,2021/07/04,\"I had sushi for lunch with Avery, Willow, Jackson\",\"I had sushi for lunch with Avery, Willow, Jackson\"\n17338,2021/07/04,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n17339,2021/07/04,\"I spent 36 talking to Kinsley, Nora, Rylee on various topics in the morning.\",\"I spent 36 talking to Kinsley, Nora, Rylee on various topics in the morning.\"\n17340,2021/07/04,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n17341,2021/07/04,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n17342,2021/07/05,I did biking on 2021/07/05.,I did biking on 2021/07/05.\n17343,2021/07/05,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n17344,2021/07/05,\"I had a burger for lunch with Andrew, Kayden, Carter\",\"I had a burger for lunch with Andrew, Kayden, Carter\"\n17345,2021/07/05,I spent 25 minutes watching news on TV today.,I spent 25 minutes watching news on TV today.\n17346,2021/07/06,I spent time meditation on 2021/07/06 with Avery.,I spent time meditation on 2021/07/06 with Avery.\n17347,2021/07/06,\"I had breakfast with Benjamin, Jackson, Willow, Avery. I ate oatmeal.\",\"I had breakfast with Benjamin, Jackson, Willow, Avery. I ate oatmeal.\"\n17348,2021/07/06,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n17349,2021/07/06,I spent 6 talking to Piper on various topics late in the evening.,I spent 6 talking to Piper on various topics late in the evening.\n17350,2021/07/06,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n17351,2021/07/06,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n17352,2021/07/07,I did hiking on 2021/07/07.,I did hiking on 2021/07/07.\n17353,2021/07/07,\"I had breakfast with Avery, Jackson. I ate pancakes.\",\"I had breakfast with Avery, Jackson. I ate pancakes.\"\n17354,2021/07/07,\"I had dinner with Claire, Layla, Rylee, Lydia. I ate a burger.\",\"I had dinner with Claire, Layla, Rylee, Lydia. I ate a burger.\"\n17355,2021/07/07,\"I spent 33 talking to Rylee, Claire, Piper on various topics in the early afternoon.\",\"I spent 33 talking to Rylee, Claire, Piper on various topics in the early afternoon.\"\n17356,2021/07/07,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n17357,2021/07/08,\"I went grocery shopping. I bought some apricots, peaches, oranges, cherres, pineapple juice, and paper towel, body lotion, toothpaste, shaving cream\",\"I went grocery shopping. I bought some apricots, peaches, oranges, cherres, pineapple juice, and paper towel, body lotion, toothpaste, shaving cream\"\n17358,2021/07/08,I did HIIT on 2021/07/08.,I did HIIT on 2021/07/08.\n17359,2021/07/08,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n17360,2021/07/08,I ate steak for lunch.,I ate steak for lunch.\n17361,2021/07/08,I prepare a burger for dinner.,I prepare a burger for dinner.\n17362,2021/07/08,\"I spent 50 talking to Rylee, Claire, Lydia on various topics late in the evening.\",\"I spent 50 talking to Rylee, Claire, Lydia on various topics late in the evening.\"\n17363,2021/07/09,I did weight lifting on 2021/07/09.,I did weight lifting on 2021/07/09.\n17364,2021/07/09,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n17365,2021/07/09,\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate chinese food.\",\"I had dinner with Jackson, Benjamin, Avery, Willow. I ate chinese food.\"\n17366,2021/07/09,\"I spent 24 talking to Nevaeh, Piper, Layla on various topics in the early evening.\",\"I spent 24 talking to Nevaeh, Piper, Layla on various topics in the early evening.\"\n17367,2021/07/09,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n17368,2021/07/10,I did HIIT on 2021/07/10.,I did HIIT on 2021/07/10.\n17369,2021/07/10,\"I spent 11 talking to Rylee, Piper, Kinsley, Hazel on various topics in the early evening.\",\"I spent 11 talking to Rylee, Piper, Kinsley, Hazel on various topics in the early evening.\"\n17370,2021/07/10,\"I spent 39 talking to Olivia, Lydia, Layla, Piper on various topics in the early evening.\",\"I spent 39 talking to Olivia, Lydia, Layla, Piper on various topics in the early evening.\"\n17371,2021/07/11,I did HIIT on 2021/07/11.,I did HIIT on 2021/07/11.\n17372,2021/07/11,\"I had indian food for dinner with Piper, Hazel, Piper, Lydia\",\"I had indian food for dinner with Piper, Hazel, Piper, Lydia\"\n17373,2021/07/11,\"I spent 54 talking to Kinsley, Eva on various topics in the early afternoon.\",\"I spent 54 talking to Kinsley, Eva on various topics in the early afternoon.\"\n17374,2021/07/11,I spent 47 minutes on social media today.,I spent 47 minutes on social media today.\n17375,2021/07/12,I ate cereals for breakfast.,I ate cereals for breakfast.\n17376,2021/07/12,\"I had fish and chips for dinner with Jackson, Willow, Avery, Benjamin\",\"I had fish and chips for dinner with Jackson, Willow, Avery, Benjamin\"\n17377,2021/07/12,I watched a movie for 7 minutes on TV today.,I watched a movie for 7 minutes on TV today.\n17378,2021/07/13,I really enjoyed learning a language on 2021/07/13,I really enjoyed learning a language on 2021/07/13\n17379,2021/07/13,I did running on 2021/07/13.,I did running on 2021/07/13.\n17380,2021/07/13,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n17381,2021/07/13,I ate chinese food for dinner.,I ate chinese food for dinner.\n17382,2021/07/13,\"I spent 20 talking to Hazel, Piper, Avery on various topics in the early afternoon.\",\"I spent 20 talking to Hazel, Piper, Avery on various topics in the early afternoon.\"\n17383,2021/07/14,\"On 2021/07/14, I took Aurora on a date to a coffee Shop\",\"On 2021/07/14, I took Aurora on a date to a coffee Shop\"\n17384,2021/07/14,I did weight lifting on 2021/07/14.,I did weight lifting on 2021/07/14.\n17385,2021/07/14,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n17386,2021/07/14,I spent 15 minutes reading a book today.,I spent 15 minutes reading a book today.\n17387,2021/07/14,I watched a movie for 45 minutes on TV today.,I watched a movie for 45 minutes on TV today.\n17388,2021/07/15,\"I went grocery shopping. I bought some mangos, blueberries, mango juice, and shampoo, toothbrush\",\"I went grocery shopping. I bought some mangos, blueberries, mango juice, and shampoo, toothbrush\"\n17389,2021/07/15,I did swimming on 2021/07/15.,I did swimming on 2021/07/15.\n17390,2021/07/15,\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Emily\",\"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Emily\"\n17391,2021/07/15,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n17392,2021/07/16,\"I had oatmeal for breakfast with Jackson, Benjamin, Willow, Avery\",\"I had oatmeal for breakfast with Jackson, Benjamin, Willow, Avery\"\n17393,2021/07/16,I prepare a burger for lunch.,I prepare a burger for lunch.\n17394,2021/07/16,\"I had dinner with Emily, Carter. I ate pasta.\",\"I had dinner with Emily, Carter. I ate pasta.\"\n17395,2021/07/16,\"I spent 5 talking to Avery, Olivia, Piper on various topics during lunch hours.\",\"I spent 5 talking to Avery, Olivia, Piper on various topics during lunch hours.\"\n17396,2021/07/16,I spent 28 talking to Hazel on various topics in the late afternoon.,I spent 28 talking to Hazel on various topics in the late afternoon.\n17397,2021/07/16,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n17398,2021/07/16,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n17399,2021/07/17,\"I went grocery shopping with Kayden, Andrew, Emily, Carter. I bought some pears, clementines, oranges, orange juice, pineapple juice, and body lotion\",\"I went grocery shopping with Kayden, Andrew, Emily, Carter. I bought some pears, clementines, oranges, orange juice, pineapple juice, and body lotion\"\n17400,2021/07/17,I did biking on 2021/07/17.,I did biking on 2021/07/17.\n17401,2021/07/17,\"I had breakfast with Avery, Lydia. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Lydia. I ate eggs, sausages, and bread.\"\n17402,2021/07/17,\"I spent 10 talking to Eva, Olivia on various topics in the late afternoon.\",\"I spent 10 talking to Eva, Olivia on various topics in the late afternoon.\"\n17403,2021/07/17,\"I spent 20 talking to Nora, Layla, Kinsley on various topics in the early afternoon.\",\"I spent 20 talking to Nora, Layla, Kinsley on various topics in the early afternoon.\"\n17404,2021/07/17,I spent 52 minutes reading news today.,I spent 52 minutes reading news today.\n17405,2021/07/17,I spent 50 minutes watching news on TV today.,I spent 50 minutes watching news on TV today.\n17406,2021/07/18,\"I had toast and cheese for breakfast with Lydia, Eva, Hazel, Piper, Kinsley, Layla, Nora, Avery\",\"I had toast and cheese for breakfast with Lydia, Eva, Hazel, Piper, Kinsley, Layla, Nora, Avery\"\n17407,2021/07/18,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n17408,2021/07/18,I had dinner with Kayden. I ate sandwich.,I had dinner with Kayden. I ate sandwich.\n17409,2021/07/18,\"I talked to Layla, Nevaeh, Nora for 20 minutes late in the evening.\",\"I talked to Layla, Nevaeh, Nora for 20 minutes late in the evening.\"\n17410,2021/07/19,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n17411,2021/07/19,\"I talked to Nora, Nevaeh, Eva for 45 minutes in the late afternoon.\",\"I talked to Nora, Nevaeh, Eva for 45 minutes in the late afternoon.\"\n17412,2021/07/19,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n17413,2021/07/19,I watched news for 51 minutes on TV today.,I watched news for 51 minutes on TV today.\n17414,2021/07/20,I went on a date with Zoey on 2021/07/20 at a boba shop,I went on a date with Zoey on 2021/07/20 at a boba shop\n17415,2021/07/20,I did weight lifting on 2021/07/20.,I did weight lifting on 2021/07/20.\n17416,2021/07/20,\"I had breakfast with Hazel, Layla, Avery, Eva, Lydia, Kinsley, Nora, Nevaeh, Olivia, Rylee, Claire, Piper. I ate pancakes.\",\"I had breakfast with Hazel, Layla, Avery, Eva, Lydia, Kinsley, Nora, Nevaeh, Olivia, Rylee, Claire, Piper. I ate pancakes.\"\n17417,2021/07/20,\"I had dinner with Willow, Benjamin, Jackson, Avery. I ate steak.\",\"I had dinner with Willow, Benjamin, Jackson, Avery. I ate steak.\"\n17418,2021/07/20,\"I talked to Layla, Eva, Hazel, Nevaeh for 48 minutes in the early afternoon.\",\"I talked to Layla, Eva, Hazel, Nevaeh for 48 minutes in the early afternoon.\"\n17419,2021/07/21,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n17420,2021/07/21,I prepare sushi for dinner.,I prepare sushi for dinner.\n17421,2021/07/22,I ate cereals for breakfast.,I ate cereals for breakfast.\n17422,2021/07/22,\"I had chinese food for dinner with Emily, Carter, Andrew\",\"I had chinese food for dinner with Emily, Carter, Andrew\"\n17423,2021/07/22,I talked to Avery for 19 minutes in the early evening.,I talked to Avery for 19 minutes in the early evening.\n17424,2021/07/22,\"I talked to Nora, Claire for 26 minutes in the morning.\",\"I talked to Nora, Claire for 26 minutes in the morning.\"\n17425,2021/07/23,\"I spent 28 talking to Nevaeh, Piper on various topics in the morning.\",\"I spent 28 talking to Nevaeh, Piper on various topics in the morning.\"\n17426,2021/07/23,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n17427,2021/07/23,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n17428,2021/07/24,I did hiking on 2021/07/24.,I did hiking on 2021/07/24.\n17429,2021/07/24,\"I had fish and chips for dinner with Lydia, Piper, Hazel, Piper, Olivia, Avery, Nevaeh, Eva, Kinsley, Claire, Layla, Nora, Rylee\",\"I had fish and chips for dinner with Lydia, Piper, Hazel, Piper, Olivia, Avery, Nevaeh, Eva, Kinsley, Claire, Layla, Nora, Rylee\"\n17430,2021/07/24,I spent 38 talking to Layla on various topics in the early afternoon.,I spent 38 talking to Layla on various topics in the early afternoon.\n17431,2021/07/25,\"I talked to Piper, Olivia, Hazel, Rylee for 32 minutes in the early afternoon.\",\"I talked to Piper, Olivia, Hazel, Rylee for 32 minutes in the early afternoon.\"\n17432,2021/07/25,I spent 20 minutes watching a tv series on TV today.,I spent 20 minutes watching a tv series on TV today.\n17433,2021/07/26,I went on a date with Sadie on 2021/07/26 at a boba shop,I went on a date with Sadie on 2021/07/26 at a boba shop\n17434,2021/07/26,\"I had sandwich for dinner with Hazel, Layla, Eva, Piper, Claire\",\"I had sandwich for dinner with Hazel, Layla, Eva, Piper, Claire\"\n17435,2021/07/26,\"I talked to Nora, Lydia for 28 minutes late in the evening.\",\"I talked to Nora, Lydia for 28 minutes late in the evening.\"\n17436,2021/07/26,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n17437,2021/07/26,I watched a movie for 40 minutes on TV today.,I watched a movie for 40 minutes on TV today.\n17438,2021/07/27,\"I spent time yoga on 2021/07/27 with Carter, Andrew.\",\"I spent time yoga on 2021/07/27 with Carter, Andrew.\"\n17439,2021/07/27,I did swimming on 2021/07/27.,I did swimming on 2021/07/27.\n17440,2021/07/27,\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate toast and cheese.\",\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate toast and cheese.\"\n17441,2021/07/27,\"I had lunch with Avery, Willow, Benjamin. I ate fish and chips.\",\"I had lunch with Avery, Willow, Benjamin. I ate fish and chips.\"\n17442,2021/07/27,I had a burger for dinner with Andrew,I had a burger for dinner with Andrew\n17443,2021/07/27,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n17444,2021/07/28,\"I spent 17 talking to Olivia, Nevaeh, Eva on various topics in the early evening.\",\"I spent 17 talking to Olivia, Nevaeh, Eva on various topics in the early evening.\"\n17445,2021/07/28,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n17446,2021/07/29,\"I bought some nectarines, apples, coffee, soda, mango juice, mouth wash, toothpaste, shampoo online.\",\"I bought some nectarines, apples, coffee, soda, mango juice, mouth wash, toothpaste, shampoo online.\"\n17447,2021/07/29,I did running on 2021/07/29.,I did running on 2021/07/29.\n17448,2021/07/29,\"I had breakfast with Benjamin, Willow, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Willow, Avery. I ate peanut-butter-jam.\"\n17449,2021/07/29,I ate tacos for dinner.,I ate tacos for dinner.\n17450,2021/07/30,I did hiking on 2021/07/30.,I did hiking on 2021/07/30.\n17451,2021/07/30,\"I had dinner with Hazel, Nora, Olivia, Rylee, Avery, Nevaeh, Claire, Piper, Eva, Piper, Layla. I ate indian food.\",\"I had dinner with Hazel, Nora, Olivia, Rylee, Avery, Nevaeh, Claire, Piper, Eva, Piper, Layla. I ate indian food.\"\n17452,2021/07/30,\"I talked to Kinsley, Eva, Avery for 6 minutes during lunch hours.\",\"I talked to Kinsley, Eva, Avery for 6 minutes during lunch hours.\"\n17453,2021/07/30,I watched a documentary for 50 minutes on TV today.,I watched a documentary for 50 minutes on TV today.\n17454,2021/07/31,I did HIIT on 2021/07/31.,I did HIIT on 2021/07/31.\n17455,2021/07/31,I had fish and chips for dinner with Emily,I had fish and chips for dinner with Emily\n17456,2021/07/31,I spent 17 minutes reading a book today.,I spent 17 minutes reading a book today.\n17457,2021/07/31,I watched news for 22 minutes on TV today.,I watched news for 22 minutes on TV today.\n17458,2021/08/01,\"I entertained Andrew, Carter at my place on 2021/08/01 and cook cashew chicken , general tso’s chicken, lo mein\",\"I entertained Andrew, Carter at my place on 2021/08/01 and cook cashew chicken , general tso’s chicken, lo mein\"\n17459,2021/08/01,I did swimming on 2021/08/01.,I did swimming on 2021/08/01.\n17460,2021/08/01,\"I spent 46 talking to Piper, Rylee on various topics late in the evening.\",\"I spent 46 talking to Piper, Rylee on various topics late in the evening.\"\n17461,2021/08/01,I spent 13 minutes on social media today.,I spent 13 minutes on social media today.\n17462,2021/08/02,\"I went grocery shopping with Kayden. I bought some clementines, raspberries, pineapple juice, soda, guava juice, coffee, and shaving cream, toothbrush\",\"I went grocery shopping with Kayden. I bought some clementines, raspberries, pineapple juice, soda, guava juice, coffee, and shaving cream, toothbrush\"\n17463,2021/08/02,I ate chinese food for lunch.,I ate chinese food for lunch.\n17464,2021/08/02,\"I had dinner with Claire, Olivia, Piper, Lydia, Kinsley, Eva, Nora. I ate chinese food.\",\"I had dinner with Claire, Olivia, Piper, Lydia, Kinsley, Eva, Nora. I ate chinese food.\"\n17465,2021/08/02,\"I talked to Kinsley, Nora, Hazel, Claire for 38 minutes in the early afternoon.\",\"I talked to Kinsley, Nora, Hazel, Claire for 38 minutes in the early afternoon.\"\n17466,2021/08/02,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n17467,2021/08/02,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n17468,2021/08/03,I really enjoyed working out on 2021/08/03,I really enjoyed working out on 2021/08/03\n17469,2021/08/03,I did HIIT on 2021/08/03.,I did HIIT on 2021/08/03.\n17470,2021/08/03,\"I had eggs, sausages, and bread for breakfast with Avery, Jackson, Willow\",\"I had eggs, sausages, and bread for breakfast with Avery, Jackson, Willow\"\n17471,2021/08/03,\"I had lunch with Rylee, Nora, Avery, Layla, Nevaeh, Claire, Kinsley, Eva. I ate sushi.\",\"I had lunch with Rylee, Nora, Avery, Layla, Nevaeh, Claire, Kinsley, Eva. I ate sushi.\"\n17472,2021/08/03,I had fish and chips for dinner with Avery,I had fish and chips for dinner with Avery\n17473,2021/08/03,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n17474,2021/08/03,I spent 48 minutes watching news on TV today.,I spent 48 minutes watching news on TV today.\n17475,2021/08/04,\"I had peanut-butter-jam for breakfast with Kayden, Carter, Emily, Andrew\",\"I had peanut-butter-jam for breakfast with Kayden, Carter, Emily, Andrew\"\n17476,2021/08/04,I prepare indian food for lunch.,I prepare indian food for lunch.\n17477,2021/08/04,I prepare steak for dinner.,I prepare steak for dinner.\n17478,2021/08/04,\"I talked to Kinsley, Nevaeh, Piper, Avery for 21 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh, Piper, Avery for 21 minutes late in the evening.\"\n17479,2021/08/04,I spent 42 minutes on a book today.,I spent 42 minutes on a book today.\n17480,2021/08/05,I did HIIT on 2021/08/05.,I did HIIT on 2021/08/05.\n17481,2021/08/05,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n17482,2021/08/05,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n17483,2021/08/05,\"I had dinner with Kinsley, Eva, Rylee, Piper, Nora, Hazel. I ate sushi.\",\"I had dinner with Kinsley, Eva, Rylee, Piper, Nora, Hazel. I ate sushi.\"\n17484,2021/08/05,\"I spent 21 talking to Layla, Nevaeh on various topics in the late afternoon.\",\"I spent 21 talking to Layla, Nevaeh on various topics in the late afternoon.\"\n17485,2021/08/05,I watched a tv series for 50 minutes on TV today.,I watched a tv series for 50 minutes on TV today.\n17486,2021/08/06,I did hiking on 2021/08/06.,I did hiking on 2021/08/06.\n17487,2021/08/06,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n17488,2021/08/06,I prepare steak for lunch.,I prepare steak for lunch.\n17489,2021/08/06,I ate sushi for dinner.,I ate sushi for dinner.\n17490,2021/08/07,I did HIIT on 2021/08/07.,I did HIIT on 2021/08/07.\n17491,2021/08/07,\"I had lunch with Avery, Benjamin. I ate chinese food.\",\"I had lunch with Avery, Benjamin. I ate chinese food.\"\n17492,2021/08/07,\"I spent 42 talking to Avery, Nevaeh, Rylee, Kinsley on various topics in the early afternoon.\",\"I spent 42 talking to Avery, Nevaeh, Rylee, Kinsley on various topics in the early afternoon.\"\n17493,2021/08/08,I did swimming on 2021/08/08.,I did swimming on 2021/08/08.\n17494,2021/08/08,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n17495,2021/08/08,\"I talked to Kinsley, Nevaeh for 19 minutes during lunch hours.\",\"I talked to Kinsley, Nevaeh for 19 minutes during lunch hours.\"\n17496,2021/08/08,I watched news for 25 minutes on TV today.,I watched news for 25 minutes on TV today.\n17497,2021/08/09,I did swimming on 2021/08/09.,I did swimming on 2021/08/09.\n17498,2021/08/09,\"I had cereals for breakfast with Avery, Nevaeh, Kinsley, Layla, Piper, Lydia, Eva\",\"I had cereals for breakfast with Avery, Nevaeh, Kinsley, Layla, Piper, Lydia, Eva\"\n17499,2021/08/09,I had steak for lunch with Jackson,I had steak for lunch with Jackson\n17500,2021/08/09,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n17501,2021/08/10,I did swimming on 2021/08/10.,I did swimming on 2021/08/10.\n17502,2021/08/10,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n17503,2021/08/10,I ate steak for dinner.,I ate steak for dinner.\n17504,2021/08/10,\"I spent 20 talking to Lydia, Eva on various topics in the early afternoon.\",\"I spent 20 talking to Lydia, Eva on various topics in the early afternoon.\"\n17505,2021/08/10,\"I talked to Hazel, Layla, Nora for 13 minutes late in the evening.\",\"I talked to Hazel, Layla, Nora for 13 minutes late in the evening.\"\n17506,2021/08/10,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n17507,2021/08/10,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n17508,2021/08/11,\"On 2021/08/11, I took Ian on a date to a boba shop\",\"On 2021/08/11, I took Ian on a date to a boba shop\"\n17509,2021/08/11,\"I spent time meditation on 2021/08/11 with Layla, Piper, Hazel.\",\"I spent time meditation on 2021/08/11 with Layla, Piper, Hazel.\"\n17510,2021/08/11,I prepare tacos for dinner.,I prepare tacos for dinner.\n17511,2021/08/11,I spent 31 minutes reading a book today.,I spent 31 minutes reading a book today.\n17512,2021/08/11,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n17513,2021/08/12,I did hiking on 2021/08/12.,I did hiking on 2021/08/12.\n17514,2021/08/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n17515,2021/08/12,I talked to Rylee for 50 minutes in the late afternoon.,I talked to Rylee for 50 minutes in the late afternoon.\n17516,2021/08/12,I spent 46 minutes reading a book today.,I spent 46 minutes reading a book today.\n17517,2021/08/12,I spent 48 minutes watching a documentary on TV today.,I spent 48 minutes watching a documentary on TV today.\n17518,2021/08/13,\"I had lunch with Carter, Emily, Kayden. I ate tacos.\",\"I had lunch with Carter, Emily, Kayden. I ate tacos.\"\n17519,2021/08/13,I talked to Hazel for 5 minutes late in the evening.,I talked to Hazel for 5 minutes late in the evening.\n17520,2021/08/14,I did HIIT on 2021/08/14.,I did HIIT on 2021/08/14.\n17521,2021/08/14,\"I talked to Eva, Hazel for 15 minutes in the early afternoon.\",\"I talked to Eva, Hazel for 15 minutes in the early afternoon.\"\n17522,2021/08/15,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n17523,2021/08/15,I prepare pasta for dinner.,I prepare pasta for dinner.\n17524,2021/08/15,\"I spent 54 talking to Layla, Nevaeh, Lydia on various topics in the late afternoon.\",\"I spent 54 talking to Layla, Nevaeh, Lydia on various topics in the late afternoon.\"\n17525,2021/08/15,\"I talked to Piper, Nora, Lydia, Hazel for 27 minutes during lunch hours.\",\"I talked to Piper, Nora, Lydia, Hazel for 27 minutes during lunch hours.\"\n17526,2021/08/16,I did swimming on 2021/08/16.,I did swimming on 2021/08/16.\n17527,2021/08/16,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n17528,2021/08/16,I prepare a burger for lunch.,I prepare a burger for lunch.\n17529,2021/08/16,\"I talked to Piper, Nora, Kinsley for 24 minutes late in the evening.\",\"I talked to Piper, Nora, Kinsley for 24 minutes late in the evening.\"\n17530,2021/08/16,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n17531,2021/08/17,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n17532,2021/08/17,I ate tacos for lunch.,I ate tacos for lunch.\n17533,2021/08/17,\"I had dinner with Lydia, Rylee, Layla, Piper, Piper, Nora. I ate sushi.\",\"I had dinner with Lydia, Rylee, Layla, Piper, Piper, Nora. I ate sushi.\"\n17534,2021/08/17,I spent 45 minutes on a book today.,I spent 45 minutes on a book today.\n17535,2021/08/17,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n17536,2021/08/18,I prepare pasta for dinner.,I prepare pasta for dinner.\n17537,2021/08/18,\"I spent 32 talking to Nora, Piper, Rylee, Piper on various topics in the late afternoon.\",\"I spent 32 talking to Nora, Piper, Rylee, Piper on various topics in the late afternoon.\"\n17538,2021/08/18,I spent 50 talking to Rylee on various topics in the late afternoon.,I spent 50 talking to Rylee on various topics in the late afternoon.\n17539,2021/08/18,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n17540,2021/08/18,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n17541,2021/08/19,\"I bought some pears, blackberries, apples, guava juice, apple juice, body lotion, mouthwash, toothpaste, paper towel online.\",\"I bought some pears, blackberries, apples, guava juice, apple juice, body lotion, mouthwash, toothpaste, paper towel online.\"\n17542,2021/08/19,I did HIIT on 2021/08/19.,I did HIIT on 2021/08/19.\n17543,2021/08/19,\"I spent 54 talking to Rylee, Eva, Kinsley on various topics in the late afternoon.\",\"I spent 54 talking to Rylee, Eva, Kinsley on various topics in the late afternoon.\"\n17544,2021/08/19,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n17545,2021/08/20,I did HIIT on 2021/08/20.,I did HIIT on 2021/08/20.\n17546,2021/08/20,\"I had lunch with Emily, Carter, Andrew, Kayden. I ate pasta.\",\"I had lunch with Emily, Carter, Andrew, Kayden. I ate pasta.\"\n17547,2021/08/20,I prepare sushi for dinner.,I prepare sushi for dinner.\n17548,2021/08/20,I spent 28 talking to Layla on various topics during lunch hours.,I spent 28 talking to Layla on various topics during lunch hours.\n17549,2021/08/20,I spent 51 minutes watching a tv series on TV today.,I spent 51 minutes watching a tv series on TV today.\n17550,2021/08/21,I had breakfast with Emily. I ate peanut-butter-jam.,I had breakfast with Emily. I ate peanut-butter-jam.\n17551,2021/08/21,I spent 41 talking to Kinsley on various topics in the late afternoon.,I spent 41 talking to Kinsley on various topics in the late afternoon.\n17552,2021/08/22,I ate indian food for dinner.,I ate indian food for dinner.\n17553,2021/08/23,I spent time gardening on 2021/08/23 with Benjamin.,I spent time gardening on 2021/08/23 with Benjamin.\n17554,2021/08/23,\"I talked to Lydia, Olivia, Layla, Piper for 39 minutes in the early evening.\",\"I talked to Lydia, Olivia, Layla, Piper for 39 minutes in the early evening.\"\n17555,2021/08/23,I spent 27 minutes reading social media today.,I spent 27 minutes reading social media today.\n17556,2021/08/23,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n17557,2021/08/24,I did biking on 2021/08/24.,I did biking on 2021/08/24.\n17558,2021/08/24,\"I had breakfast with Layla, Hazel, Nora, Piper, Rylee. I ate oatmeal.\",\"I had breakfast with Layla, Hazel, Nora, Piper, Rylee. I ate oatmeal.\"\n17559,2021/08/24,I spent 20 talking to Eva on various topics late in the evening.,I spent 20 talking to Eva on various topics late in the evening.\n17560,2021/08/24,I spent 39 minutes reading a book today.,I spent 39 minutes reading a book today.\n17561,2021/08/25,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17562,2021/08/25,I ate indian food for lunch.,I ate indian food for lunch.\n17563,2021/08/25,\"I talked to Rylee, Nora for 42 minutes in the early afternoon.\",\"I talked to Rylee, Nora for 42 minutes in the early afternoon.\"\n17564,2021/08/25,I spent 46 minutes reading social media today.,I spent 46 minutes reading social media today.\n17565,2021/08/26,I did hiking on 2021/08/26.,I did hiking on 2021/08/26.\n17566,2021/08/26,\"I had breakfast with Nevaeh, Lydia, Piper, Nora. I ate oatmeal.\",\"I had breakfast with Nevaeh, Lydia, Piper, Nora. I ate oatmeal.\"\n17567,2021/08/26,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n17568,2021/08/26,I had dinner. I ate steak.,I had dinner. I ate steak.\n17569,2021/08/26,I talked to Piper for 49 minutes during lunch hours.,I talked to Piper for 49 minutes during lunch hours.\n17570,2021/08/26,I spent 38 minutes reading social media today.,I spent 38 minutes reading social media today.\n17571,2021/08/27,I did hiking on 2021/08/27.,I did hiking on 2021/08/27.\n17572,2021/08/27,\"I had breakfast with Layla, Eva, Piper, Piper, Lydia, Nevaeh, Avery. I ate peanut-butter-jam.\",\"I had breakfast with Layla, Eva, Piper, Piper, Lydia, Nevaeh, Avery. I ate peanut-butter-jam.\"\n17573,2021/08/27,I prepare pasta for dinner.,I prepare pasta for dinner.\n17574,2021/08/28,I did running on 2021/08/28.,I did running on 2021/08/28.\n17575,2021/08/28,\"I had sandwich for lunch with Emily, Carter, Kayden, Andrew\",\"I had sandwich for lunch with Emily, Carter, Kayden, Andrew\"\n17576,2021/08/28,I had dinner with Jackson. I ate a burger.,I had dinner with Jackson. I ate a burger.\n17577,2021/08/28,I talked to Avery for 36 minutes during lunch hours.,I talked to Avery for 36 minutes during lunch hours.\n17578,2021/08/28,I watched a documentary for 50 minutes on TV today.,I watched a documentary for 50 minutes on TV today.\n17579,2021/08/29,I did HIIT on 2021/08/29.,I did HIIT on 2021/08/29.\n17580,2021/08/29,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n17581,2021/08/29,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n17582,2021/08/30,I went on a date with Kai on 2021/08/30 at a restaurant,I went on a date with Kai on 2021/08/30 at a restaurant\n17583,2021/08/30,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n17584,2021/08/30,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n17585,2021/08/30,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n17586,2021/08/30,I spent 48 minutes watching a documentary on TV today.,I spent 48 minutes watching a documentary on TV today.\n17587,2021/08/31,I did HIIT on 2021/08/31.,I did HIIT on 2021/08/31.\n17588,2021/08/31,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n17589,2021/08/31,I prepare indian food for dinner.,I prepare indian food for dinner.\n17590,2021/08/31,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n17591,2021/09/01,I ate pasta for lunch.,I ate pasta for lunch.\n17592,2021/09/01,I ate pasta for dinner.,I ate pasta for dinner.\n17593,2021/09/01,\"I talked to Rylee, Lydia, Kinsley for 17 minutes in the late afternoon.\",\"I talked to Rylee, Lydia, Kinsley for 17 minutes in the late afternoon.\"\n17594,2021/09/02,\"I entertained Nora, Lydia, Nevaeh at my place on 2021/09/02 and bake lemon meringue cookies, birthday cupcakes with white wine buttercream\",\"I entertained Nora, Lydia, Nevaeh at my place on 2021/09/02 and bake lemon meringue cookies, birthday cupcakes with white wine buttercream\"\n17595,2021/09/02,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n17596,2021/09/02,I prepare pasta for dinner.,I prepare pasta for dinner.\n17597,2021/09/02,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n17598,2021/09/02,I watched a tv series for 20 minutes on TV today.,I watched a tv series for 20 minutes on TV today.\n17599,2021/09/03,I went on a date with Kennedy on 2021/09/03 at a boba shop,I went on a date with Kennedy on 2021/09/03 at a boba shop\n17600,2021/09/03,I did hiking on 2021/09/03.,I did hiking on 2021/09/03.\n17601,2021/09/03,\"I had sandwich for lunch with Kayden, Emily\",\"I had sandwich for lunch with Kayden, Emily\"\n17602,2021/09/03,\"I talked to Nevaeh, Layla, Kinsley for 9 minutes in the late afternoon.\",\"I talked to Nevaeh, Layla, Kinsley for 9 minutes in the late afternoon.\"\n17603,2021/09/03,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n17604,2021/09/03,I spent 5 minutes watching news on TV today.,I spent 5 minutes watching news on TV today.\n17605,2021/09/04,I did running on 2021/09/04.,I did running on 2021/09/04.\n17606,2021/09/04,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n17607,2021/09/04,I ate tacos for lunch.,I ate tacos for lunch.\n17608,2021/09/04,I prepare steak for dinner.,I prepare steak for dinner.\n17609,2021/09/04,\"I spent 38 talking to Lydia, Olivia, Layla, Avery on various topics in the early afternoon.\",\"I spent 38 talking to Lydia, Olivia, Layla, Avery on various topics in the early afternoon.\"\n17610,2021/09/04,I spent 15 talking to Rylee on various topics in the early afternoon.,I spent 15 talking to Rylee on various topics in the early afternoon.\n17611,2021/09/04,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n17612,2021/09/04,I spent 27 minutes watching a movie on TV today.,I spent 27 minutes watching a movie on TV today.\n17613,2021/09/05,I did hiking on 2021/09/05.,I did hiking on 2021/09/05.\n17614,2021/09/05,I ate sushi for dinner.,I ate sushi for dinner.\n17615,2021/09/05,I spent 54 minutes reading news today.,I spent 54 minutes reading news today.\n17616,2021/09/06,\"I bought some mangos, tea, chocolate milk, orange juice, paper towel, mouth wash, toothpaste, toothbrush from the grocery store. I saw Claire, Eva, Nevaeh, Piper, Olivia, Piper, Layla, Lydia, Hazel, Kinsley at the grocery store.\",\"I bought some mangos, tea, chocolate milk, orange juice, paper towel, mouth wash, toothpaste, toothbrush from the grocery store. I saw Claire, Eva, Nevaeh, Piper, Olivia, Piper, Layla, Lydia, Hazel, Kinsley at the grocery store.\"\n17617,2021/09/06,I did running on 2021/09/06.,I did running on 2021/09/06.\n17618,2021/09/06,\"I had cereals for breakfast with Emily, Carter, Kayden, Andrew\",\"I had cereals for breakfast with Emily, Carter, Kayden, Andrew\"\n17619,2021/09/06,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n17620,2021/09/06,I ate tacos for dinner.,I ate tacos for dinner.\n17621,2021/09/06,I spent 43 minutes reading news today.,I spent 43 minutes reading news today.\n17622,2021/09/06,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n17623,2021/09/07,I did biking on 2021/09/07.,I did biking on 2021/09/07.\n17624,2021/09/07,\"I had lunch with Piper, Layla, Claire, Lydia. I ate chinese food.\",\"I had lunch with Piper, Layla, Claire, Lydia. I ate chinese food.\"\n17625,2021/09/07,\"I talked to Avery, Claire, Piper, Nevaeh for 55 minutes in the late afternoon.\",\"I talked to Avery, Claire, Piper, Nevaeh for 55 minutes in the late afternoon.\"\n17626,2021/09/07,I spent 9 minutes on social media today.,I spent 9 minutes on social media today.\n17627,2021/09/07,I spent 29 minutes watching a documentary on TV today.,I spent 29 minutes watching a documentary on TV today.\n17628,2021/09/08,\"I had toast and cheese for breakfast with Carter, Emily, Andrew, Kayden\",\"I had toast and cheese for breakfast with Carter, Emily, Andrew, Kayden\"\n17629,2021/09/08,I had lunch with Olivia. I ate tacos.,I had lunch with Olivia. I ate tacos.\n17630,2021/09/08,\"I spent 32 talking to Layla, Olivia, Lydia, Avery on various topics in the early afternoon.\",\"I spent 32 talking to Layla, Olivia, Lydia, Avery on various topics in the early afternoon.\"\n17631,2021/09/08,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n17632,2021/09/09,I went on a date with Lucy on 2021/09/09 at a restaurant,I went on a date with Lucy on 2021/09/09 at a restaurant\n17633,2021/09/09,\"I had peanut-butter-jam for breakfast with Benjamin, Avery\",\"I had peanut-butter-jam for breakfast with Benjamin, Avery\"\n17634,2021/09/09,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n17635,2021/09/09,I spent 54 talking to Piper on various topics in the morning.,I spent 54 talking to Piper on various topics in the morning.\n17636,2021/09/09,I spent 28 talking to Olivia on various topics in the late afternoon.,I spent 28 talking to Olivia on various topics in the late afternoon.\n17637,2021/09/09,I spent 12 minutes on news today.,I spent 12 minutes on news today.\n17638,2021/09/10,I prepare a burger for lunch.,I prepare a burger for lunch.\n17639,2021/09/10,\"I spent 40 talking to Claire, Nora, Olivia on various topics in the early afternoon.\",\"I spent 40 talking to Claire, Nora, Olivia on various topics in the early afternoon.\"\n17640,2021/09/10,\"I talked to Rylee, Hazel, Piper, Kinsley for 41 minutes during lunch hours.\",\"I talked to Rylee, Hazel, Piper, Kinsley for 41 minutes during lunch hours.\"\n17641,2021/09/11,I did HIIT on 2021/09/11.,I did HIIT on 2021/09/11.\n17642,2021/09/11,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n17643,2021/09/11,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n17644,2021/09/12,\"I had breakfast with Olivia, Piper, Rylee, Piper, Eva, Lydia, Kinsley. I ate toast and cheese.\",\"I had breakfast with Olivia, Piper, Rylee, Piper, Eva, Lydia, Kinsley. I ate toast and cheese.\"\n17645,2021/09/12,\"I talked to Avery, Piper, Rylee for 7 minutes during lunch hours.\",\"I talked to Avery, Piper, Rylee for 7 minutes during lunch hours.\"\n17646,2021/09/12,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n17647,2021/09/13,I prepare pasta for dinner.,I prepare pasta for dinner.\n17648,2021/09/13,\"I talked to Layla, Avery, Claire for 32 minutes in the late afternoon.\",\"I talked to Layla, Avery, Claire for 32 minutes in the late afternoon.\"\n17649,2021/09/13,I talked to Kinsley for 45 minutes during lunch hours.,I talked to Kinsley for 45 minutes during lunch hours.\n17650,2021/09/13,I spent 42 minutes reading social media today.,I spent 42 minutes reading social media today.\n17651,2021/09/14,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n17652,2021/09/14,I ate indian food for lunch.,I ate indian food for lunch.\n17653,2021/09/14,I prepare sushi for dinner.,I prepare sushi for dinner.\n17654,2021/09/15,I did swimming on 2021/09/15.,I did swimming on 2021/09/15.\n17655,2021/09/15,I had lunch with Emily. I ate a burger.,I had lunch with Emily. I ate a burger.\n17656,2021/09/15,I spent 6 talking to Kinsley on various topics in the morning.,I spent 6 talking to Kinsley on various topics in the morning.\n17657,2021/09/15,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n17658,2021/09/15,I watched a tv series for 5 minutes on TV today.,I watched a tv series for 5 minutes on TV today.\n17659,2021/09/16,\"I had lunch with Avery, Jackson, Benjamin. I ate sandwich.\",\"I had lunch with Avery, Jackson, Benjamin. I ate sandwich.\"\n17660,2021/09/16,I spent 35 talking to Eva on various topics in the early afternoon.,I spent 35 talking to Eva on various topics in the early afternoon.\n17661,2021/09/16,\"I talked to Piper, Nevaeh, Layla, Claire for 17 minutes in the early afternoon.\",\"I talked to Piper, Nevaeh, Layla, Claire for 17 minutes in the early afternoon.\"\n17662,2021/09/17,I did HIIT on 2021/09/17.,I did HIIT on 2021/09/17.\n17663,2021/09/17,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17664,2021/09/17,\"I talked to Kinsley, Nevaeh, Hazel for 25 minutes late in the evening.\",\"I talked to Kinsley, Nevaeh, Hazel for 25 minutes late in the evening.\"\n17665,2021/09/17,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n17666,2021/09/18,I did weight lifting on 2021/09/18.,I did weight lifting on 2021/09/18.\n17667,2021/09/18,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n17668,2021/09/18,\"I talked to Avery, Kinsley, Eva for 33 minutes in the early afternoon.\",\"I talked to Avery, Kinsley, Eva for 33 minutes in the early afternoon.\"\n17669,2021/09/18,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n17670,2021/09/19,I spent time learning a language on 2021/09/19 with Andrew.,I spent time learning a language on 2021/09/19 with Andrew.\n17671,2021/09/19,\"I had breakfast with Avery, Willow. I ate eggs, sausages, and bread.\",\"I had breakfast with Avery, Willow. I ate eggs, sausages, and bread.\"\n17672,2021/09/19,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n17673,2021/09/19,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n17674,2021/09/19,I talked to Kinsley for 51 minutes in the early evening.,I talked to Kinsley for 51 minutes in the early evening.\n17675,2021/09/19,I spent 20 minutes reading news today.,I spent 20 minutes reading news today.\n17676,2021/09/19,I spent 29 minutes watching a movie on TV today.,I spent 29 minutes watching a movie on TV today.\n17677,2021/09/20,I did swimming on 2021/09/20.,I did swimming on 2021/09/20.\n17678,2021/09/20,I ate sandwich for lunch.,I ate sandwich for lunch.\n17679,2021/09/20,\"I spent 40 talking to Piper, Hazel, Kinsley, Claire on various topics in the morning.\",\"I spent 40 talking to Piper, Hazel, Kinsley, Claire on various topics in the morning.\"\n17680,2021/09/20,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n17681,2021/09/20,I spent 12 minutes watching news on TV today.,I spent 12 minutes watching news on TV today.\n17682,2021/09/21,\"I bought some peaches, tea, orange juice, mineral water, coffee, toothbrush, conditioner from the grocery store. I saw Avery, Benjamin, Jackson, Willow at the grocery store.\",\"I bought some peaches, tea, orange juice, mineral water, coffee, toothbrush, conditioner from the grocery store. I saw Avery, Benjamin, Jackson, Willow at the grocery store.\"\n17683,2021/09/21,I did hiking on 2021/09/21.,I did hiking on 2021/09/21.\n17684,2021/09/21,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n17685,2021/09/21,\"I spent 39 talking to Layla, Kinsley, Piper, Rylee on various topics in the early afternoon.\",\"I spent 39 talking to Layla, Kinsley, Piper, Rylee on various topics in the early afternoon.\"\n17686,2021/09/21,I spent 15 minutes on news today.,I spent 15 minutes on news today.\n17687,2021/09/22,I ate sushi for lunch.,I ate sushi for lunch.\n17688,2021/09/22,I spent 40 minutes reading a book today.,I spent 40 minutes reading a book today.\n17689,2021/09/22,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n17690,2021/09/23,I did swimming on 2021/09/23.,I did swimming on 2021/09/23.\n17691,2021/09/23,\"I had lunch with Kayden, Emily, Andrew, Carter. I ate sushi.\",\"I had lunch with Kayden, Emily, Andrew, Carter. I ate sushi.\"\n17692,2021/09/23,\"I had dinner with Emily, Kayden, Carter. I ate sushi.\",\"I had dinner with Emily, Kayden, Carter. I ate sushi.\"\n17693,2021/09/23,\"I spent 36 talking to Piper, Hazel on various topics in the early afternoon.\",\"I spent 36 talking to Piper, Hazel on various topics in the early afternoon.\"\n17694,2021/09/23,I spent 49 talking to Nora on various topics during lunch hours.,I spent 49 talking to Nora on various topics during lunch hours.\n17695,2021/09/24,I did running on 2021/09/24.,I did running on 2021/09/24.\n17696,2021/09/24,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n17697,2021/09/24,I ate sushi for lunch.,I ate sushi for lunch.\n17698,2021/09/24,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n17699,2021/09/25,\"On 2021/09/25, I took Everleigh on a date to a park\",\"On 2021/09/25, I took Everleigh on a date to a park\"\n17700,2021/09/25,I ate indian food for dinner.,I ate indian food for dinner.\n17701,2021/09/25,\"I talked to Nora, Eva, Nevaeh for 39 minutes in the morning.\",\"I talked to Nora, Eva, Nevaeh for 39 minutes in the morning.\"\n17702,2021/09/25,I spent 23 minutes reading social media today.,I spent 23 minutes reading social media today.\n17703,2021/09/26,\"I went grocery shopping with Carter, Kayden, Emily, Andrew. I bought some blueberries, milk, and toothpaste\",\"I went grocery shopping with Carter, Kayden, Emily, Andrew. I bought some blueberries, milk, and toothpaste\"\n17704,2021/09/26,I did hiking on 2021/09/26.,I did hiking on 2021/09/26.\n17705,2021/09/26,\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew\",\"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew\"\n17706,2021/09/26,I ate pasta for lunch.,I ate pasta for lunch.\n17707,2021/09/26,I ate sandwich for dinner.,I ate sandwich for dinner.\n17708,2021/09/26,\"I talked to Piper, Eva, Nora, Lydia for 36 minutes late in the evening.\",\"I talked to Piper, Eva, Nora, Lydia for 36 minutes late in the evening.\"\n17709,2021/09/26,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n17710,2021/09/27,I did running on 2021/09/27.,I did running on 2021/09/27.\n17711,2021/09/27,\"I had chinese food for lunch with Kayden, Carter\",\"I had chinese food for lunch with Kayden, Carter\"\n17712,2021/09/27,I spent 55 minutes reading social media today.,I spent 55 minutes reading social media today.\n17713,2021/09/27,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n17714,2021/09/28,I did weight lifting on 2021/09/28.,I did weight lifting on 2021/09/28.\n17715,2021/09/28,\"I had a burger for lunch with Andrew, Kayden, Carter, Emily\",\"I had a burger for lunch with Andrew, Kayden, Carter, Emily\"\n17716,2021/09/28,\"I spent 6 talking to Nora, Lydia, Olivia, Avery on various topics in the late afternoon.\",\"I spent 6 talking to Nora, Lydia, Olivia, Avery on various topics in the late afternoon.\"\n17717,2021/09/28,I spent 11 minutes on news today.,I spent 11 minutes on news today.\n17718,2021/09/29,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n17719,2021/09/29,\"I had steak for lunch with Kinsley, Layla, Nora, Olivia, Hazel, Claire, Avery, Nevaeh, Rylee, Piper\",\"I had steak for lunch with Kinsley, Layla, Nora, Olivia, Hazel, Claire, Avery, Nevaeh, Rylee, Piper\"\n17720,2021/09/29,I talked to Olivia for 39 minutes in the late afternoon.,I talked to Olivia for 39 minutes in the late afternoon.\n17721,2021/09/30,I did hiking on 2021/09/30.,I did hiking on 2021/09/30.\n17722,2021/09/30,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n17723,2021/09/30,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n17724,2021/10/01,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n17725,2021/10/01,\"I had sushi for dinner with Benjamin, Willow, Avery\",\"I had sushi for dinner with Benjamin, Willow, Avery\"\n17726,2021/10/01,I spent 46 talking to Avery on various topics during lunch hours.,I spent 46 talking to Avery on various topics during lunch hours.\n17727,2021/10/01,I spent 34 minutes reading news today.,I spent 34 minutes reading news today.\n17728,2021/10/02,\"On 2021/10/02, I took Mia on a date to a restaurant\",\"On 2021/10/02, I took Mia on a date to a restaurant\"\n17729,2021/10/02,I did HIIT on 2021/10/02.,I did HIIT on 2021/10/02.\n17730,2021/10/02,I had toast and cheese for breakfast with Kayden,I had toast and cheese for breakfast with Kayden\n17731,2021/10/02,I spent 38 minutes on news today.,I spent 38 minutes on news today.\n17732,2021/10/03,I did biking on 2021/10/03.,I did biking on 2021/10/03.\n17733,2021/10/03,\"I had breakfast with Nora, Kinsley, Nevaeh, Avery, Rylee, Piper, Claire, Lydia. I ate pancakes.\",\"I had breakfast with Nora, Kinsley, Nevaeh, Avery, Rylee, Piper, Claire, Lydia. I ate pancakes.\"\n17734,2021/10/03,\"I spent 54 talking to Piper, Nevaeh, Eva, Avery on various topics in the early evening.\",\"I spent 54 talking to Piper, Nevaeh, Eva, Avery on various topics in the early evening.\"\n17735,2021/10/03,I watched news for 40 minutes on TV today.,I watched news for 40 minutes on TV today.\n17736,2021/10/04,I went on a date with Benjamin on 2021/10/04 at a coffee Shop,I went on a date with Benjamin on 2021/10/04 at a coffee Shop\n17737,2021/10/04,I did running on 2021/10/04.,I did running on 2021/10/04.\n17738,2021/10/04,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17739,2021/10/04,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n17740,2021/10/04,\"I talked to Kinsley, Piper, Eva, Claire for 55 minutes during lunch hours.\",\"I talked to Kinsley, Piper, Eva, Claire for 55 minutes during lunch hours.\"\n17741,2021/10/04,I spent 21 minutes on news today.,I spent 21 minutes on news today.\n17742,2021/10/05,I had sushi for dinner with Benjamin,I had sushi for dinner with Benjamin\n17743,2021/10/05,\"I spent 46 talking to Piper, Piper on various topics in the morning.\",\"I spent 46 talking to Piper, Piper on various topics in the morning.\"\n17744,2021/10/06,I did running on 2021/10/06.,I did running on 2021/10/06.\n17745,2021/10/06,I had lunch with Kayden. I ate sandwich.,I had lunch with Kayden. I ate sandwich.\n17746,2021/10/06,\"I talked to Piper, Olivia, Eva, Piper for 9 minutes in the early evening.\",\"I talked to Piper, Olivia, Eva, Piper for 9 minutes in the early evening.\"\n17747,2021/10/06,I talked to Eva for 52 minutes in the early evening.,I talked to Eva for 52 minutes in the early evening.\n17748,2021/10/06,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n17749,2021/10/06,I watched a movie for 21 minutes on TV today.,I watched a movie for 21 minutes on TV today.\n17750,2021/10/07,\"I went grocery shopping with Lydia. I bought some blackberries, peaches, soda, mineral water, mango juice, pineapple juice, and paper towel, body lotion, mouthwash\",\"I went grocery shopping with Lydia. I bought some blackberries, peaches, soda, mineral water, mango juice, pineapple juice, and paper towel, body lotion, mouthwash\"\n17751,2021/10/07,I did weight lifting on 2021/10/07.,I did weight lifting on 2021/10/07.\n17752,2021/10/07,\"I had dinner with Emily, Carter, Kayden, Andrew. I ate chinese food.\",\"I had dinner with Emily, Carter, Kayden, Andrew. I ate chinese food.\"\n17753,2021/10/07,I talked to Hazel for 7 minutes during lunch hours.,I talked to Hazel for 7 minutes during lunch hours.\n17754,2021/10/07,I watched a movie for 23 minutes on TV today.,I watched a movie for 23 minutes on TV today.\n17755,2021/10/08,I did biking on 2021/10/08.,I did biking on 2021/10/08.\n17756,2021/10/08,I watched a movie for 9 minutes on TV today.,I watched a movie for 9 minutes on TV today.\n17757,2021/10/09,I did hiking on 2021/10/09.,I did hiking on 2021/10/09.\n17758,2021/10/09,I had dinner with Andrew. I ate indian food.,I had dinner with Andrew. I ate indian food.\n17759,2021/10/09,\"I spent 7 talking to Claire, Kinsley, Piper on various topics in the early evening.\",\"I spent 7 talking to Claire, Kinsley, Piper on various topics in the early evening.\"\n17760,2021/10/09,I spent 29 minutes watching a documentary on TV today.,I spent 29 minutes watching a documentary on TV today.\n17761,2021/10/10,\"On 2021/10/10, I took Charles on a date to a restaurant\",\"On 2021/10/10, I took Charles on a date to a restaurant\"\n17762,2021/10/10,I did running on 2021/10/10.,I did running on 2021/10/10.\n17763,2021/10/10,\"I had cereals for breakfast with Andrew, Kayden\",\"I had cereals for breakfast with Andrew, Kayden\"\n17764,2021/10/10,\"I had chinese food for lunch with Benjamin, Willow, Avery, Jackson\",\"I had chinese food for lunch with Benjamin, Willow, Avery, Jackson\"\n17765,2021/10/10,\"I talked to Nevaeh, Hazel for 51 minutes during lunch hours.\",\"I talked to Nevaeh, Hazel for 51 minutes during lunch hours.\"\n17766,2021/10/10,I spent 10 minutes watching a tv series on TV today.,I spent 10 minutes watching a tv series on TV today.\n17767,2021/10/11,I did biking on 2021/10/11.,I did biking on 2021/10/11.\n17768,2021/10/11,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n17769,2021/10/11,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n17770,2021/10/11,I spent 20 minutes watching a movie on TV today.,I spent 20 minutes watching a movie on TV today.\n17771,2021/10/12,\"I bought some watermelons, blackberries, mineral water, coffee, pineapple juice, shaving cream from the grocery store. I saw Willow, Benjamin, Jackson at the grocery store.\",\"I bought some watermelons, blackberries, mineral water, coffee, pineapple juice, shaving cream from the grocery store. I saw Willow, Benjamin, Jackson at the grocery store.\"\n17772,2021/10/12,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n17773,2021/10/12,I ate indian food for lunch.,I ate indian food for lunch.\n17774,2021/10/12,I spent 37 talking to Layla on various topics during lunch hours.,I spent 37 talking to Layla on various topics during lunch hours.\n17775,2021/10/12,\"I talked to Claire, Piper, Hazel, Kinsley for 18 minutes late in the evening.\",\"I talked to Claire, Piper, Hazel, Kinsley for 18 minutes late in the evening.\"\n17776,2021/10/13,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n17777,2021/10/13,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n17778,2021/10/13,I talked to Avery for 10 minutes in the morning.,I talked to Avery for 10 minutes in the morning.\n17779,2021/10/13,I spent 36 minutes watching a tv series on TV today.,I spent 36 minutes watching a tv series on TV today.\n17780,2021/10/14,I did weight lifting on 2021/10/14.,I did weight lifting on 2021/10/14.\n17781,2021/10/14,I spent 14 talking to Hazel on various topics during lunch hours.,I spent 14 talking to Hazel on various topics during lunch hours.\n17782,2021/10/14,\"I spent 48 talking to Avery, Piper on various topics in the early evening.\",\"I spent 48 talking to Avery, Piper on various topics in the early evening.\"\n17783,2021/10/14,I spent 40 minutes on a book today.,I spent 40 minutes on a book today.\n17784,2021/10/15,I did biking on 2021/10/15.,I did biking on 2021/10/15.\n17785,2021/10/15,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n17786,2021/10/15,\"I had sandwich for lunch with Benjamin, Willow\",\"I had sandwich for lunch with Benjamin, Willow\"\n17787,2021/10/15,I ate chinese food for dinner.,I ate chinese food for dinner.\n17788,2021/10/15,I spent 46 talking to Piper on various topics in the morning.,I spent 46 talking to Piper on various topics in the morning.\n17789,2021/10/15,I spent 26 minutes reading news today.,I spent 26 minutes reading news today.\n17790,2021/10/15,I watched a tv series for 12 minutes on TV today.,I watched a tv series for 12 minutes on TV today.\n17791,2021/10/16,I did biking on 2021/10/16.,I did biking on 2021/10/16.\n17792,2021/10/16,\"I spent 35 talking to Kinsley, Nevaeh on various topics late in the evening.\",\"I spent 35 talking to Kinsley, Nevaeh on various topics late in the evening.\"\n17793,2021/10/16,I spent 32 minutes watching news on TV today.,I spent 32 minutes watching news on TV today.\n17794,2021/10/17,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n17795,2021/10/17,\"I talked to Nora, Avery, Piper, Claire for 19 minutes late in the evening.\",\"I talked to Nora, Avery, Piper, Claire for 19 minutes late in the evening.\"\n17796,2021/10/17,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n17797,2021/10/18,\"I spent time working out on 2021/10/18 with Andrew, Kayden, Carter.\",\"I spent time working out on 2021/10/18 with Andrew, Kayden, Carter.\"\n17798,2021/10/18,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n17799,2021/10/18,I ate chinese food for dinner.,I ate chinese food for dinner.\n17800,2021/10/19,\"I bought some clementines, watermelons, mandarins, orange juice, sports drinks, apple juice, guava juice, shampoo from the grocery store. I saw Eva at the grocery store.\",\"I bought some clementines, watermelons, mandarins, orange juice, sports drinks, apple juice, guava juice, shampoo from the grocery store. I saw Eva at the grocery store.\"\n17801,2021/10/19,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n17802,2021/10/19,\"I talked to Lydia, Avery, Layla for 51 minutes in the early evening.\",\"I talked to Lydia, Avery, Layla for 51 minutes in the early evening.\"\n17803,2021/10/19,\"I talked to Lydia, Nevaeh, Layla, Avery for 41 minutes in the early afternoon.\",\"I talked to Lydia, Nevaeh, Layla, Avery for 41 minutes in the early afternoon.\"\n17804,2021/10/19,I spent 12 minutes reading a book today.,I spent 12 minutes reading a book today.\n17805,2021/10/19,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n17806,2021/10/20,I did running on 2021/10/20.,I did running on 2021/10/20.\n17807,2021/10/20,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n17808,2021/10/20,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n17809,2021/10/20,I ate steak for dinner.,I ate steak for dinner.\n17810,2021/10/20,\"I spent 38 talking to Hazel, Claire, Olivia, Kinsley on various topics in the morning.\",\"I spent 38 talking to Hazel, Claire, Olivia, Kinsley on various topics in the morning.\"\n17811,2021/10/20,I spent 51 talking to Layla on various topics in the morning.,I spent 51 talking to Layla on various topics in the morning.\n17812,2021/10/20,I spent 53 minutes on social media today.,I spent 53 minutes on social media today.\n17813,2021/10/20,I spent 18 minutes watching news on TV today.,I spent 18 minutes watching news on TV today.\n17814,2021/10/21,\"I really enjoyed baking blackberry jam pie-crust straws, fig tarte tatin, cheater’s mini rhubarb galettes on 2021/10/21 with Layla at my place\",\"I really enjoyed baking blackberry jam pie-crust straws, fig tarte tatin, cheater’s mini rhubarb galettes on 2021/10/21 with Layla at my place\"\n17815,2021/10/21,I did hiking on 2021/10/21.,I did hiking on 2021/10/21.\n17816,2021/10/21,\"I had breakfast with Carter, Kayden. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Kayden. I ate peanut-butter-jam.\"\n17817,2021/10/21,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n17818,2021/10/21,I ate sushi for dinner.,I ate sushi for dinner.\n17819,2021/10/22,\"I went grocery shopping with Carter, Emily, Andrew, Kayden. I bought some bananas, blueberries, mangos, pineapples, guava juice, mango juice, orange juice, coffee, and shaving cream, toothpaste, shampoo, mouthwash\",\"I went grocery shopping with Carter, Emily, Andrew, Kayden. I bought some bananas, blueberries, mangos, pineapples, guava juice, mango juice, orange juice, coffee, and shaving cream, toothpaste, shampoo, mouthwash\"\n17820,2021/10/22,I did biking on 2021/10/22.,I did biking on 2021/10/22.\n17821,2021/10/22,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n17822,2021/10/22,\"I spent 14 talking to Layla, Claire on various topics in the early evening.\",\"I spent 14 talking to Layla, Claire on various topics in the early evening.\"\n17823,2021/10/22,\"I talked to Lydia, Rylee, Layla for 8 minutes in the late afternoon.\",\"I talked to Lydia, Rylee, Layla for 8 minutes in the late afternoon.\"\n17824,2021/10/22,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n17825,2021/10/23,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n17826,2021/10/23,I talked to Avery for 17 minutes late in the evening.,I talked to Avery for 17 minutes late in the evening.\n17827,2021/10/24,I did hiking on 2021/10/24.,I did hiking on 2021/10/24.\n17828,2021/10/24,I had breakfast with Emily. I ate oatmeal.,I had breakfast with Emily. I ate oatmeal.\n17829,2021/10/24,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n17830,2021/10/24,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n17831,2021/10/24,I spent 15 minutes watching a tv series on TV today.,I spent 15 minutes watching a tv series on TV today.\n17832,2021/10/25,\"On 2021/10/25, I took Skylar on a date to a restaurant\",\"On 2021/10/25, I took Skylar on a date to a restaurant\"\n17833,2021/10/25,I did HIIT on 2021/10/25.,I did HIIT on 2021/10/25.\n17834,2021/10/25,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n17835,2021/10/25,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n17836,2021/10/25,I spent 29 minutes watching news on TV today.,I spent 29 minutes watching news on TV today.\n17837,2021/10/26,I did hiking on 2021/10/26.,I did hiking on 2021/10/26.\n17838,2021/10/26,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n17839,2021/10/26,\"I had steak for dinner with Avery, Willow, Jackson, Benjamin\",\"I had steak for dinner with Avery, Willow, Jackson, Benjamin\"\n17840,2021/10/26,\"I spent 55 talking to Kinsley, Olivia on various topics during lunch hours.\",\"I spent 55 talking to Kinsley, Olivia on various topics during lunch hours.\"\n17841,2021/10/26,I spent 47 minutes watching a documentary on TV today.,I spent 47 minutes watching a documentary on TV today.\n17842,2021/10/27,I did running on 2021/10/27.,I did running on 2021/10/27.\n17843,2021/10/27,\"I had lunch with Jackson, Benjamin, Avery. I ate fish and chips.\",\"I had lunch with Jackson, Benjamin, Avery. I ate fish and chips.\"\n17844,2021/10/27,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n17845,2021/10/27,\"I talked to Kinsley, Nora for 41 minutes during lunch hours.\",\"I talked to Kinsley, Nora for 41 minutes during lunch hours.\"\n17846,2021/10/28,\"I bought some clementines, pears, watermelons, guava, mineral water, toilet paper, toothpaste, paper towel, facial wash from the grocery store. I saw Carter at the grocery store.\",\"I bought some clementines, pears, watermelons, guava, mineral water, toilet paper, toothpaste, paper towel, facial wash from the grocery store. I saw Carter at the grocery store.\"\n17847,2021/10/28,I did weight lifting on 2021/10/28.,I did weight lifting on 2021/10/28.\n17848,2021/10/28,I prepare a burger for lunch.,I prepare a burger for lunch.\n17849,2021/10/28,\"I had indian food for dinner with Piper, Claire, Lydia, Nora\",\"I had indian food for dinner with Piper, Claire, Lydia, Nora\"\n17850,2021/10/28,I talked to Nora for 14 minutes in the morning.,I talked to Nora for 14 minutes in the morning.\n17851,2021/10/28,\"I talked to Kinsley, Avery, Layla, Lydia for 39 minutes during lunch hours.\",\"I talked to Kinsley, Avery, Layla, Lydia for 39 minutes during lunch hours.\"\n17852,2021/10/28,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n17853,2021/10/28,I watched a documentary for 12 minutes on TV today.,I watched a documentary for 12 minutes on TV today.\n17854,2021/10/29,I did weight lifting on 2021/10/29.,I did weight lifting on 2021/10/29.\n17855,2021/10/29,\"I had dinner with Hazel, Lydia, Olivia, Avery, Piper, Nevaeh, Rylee, Claire, Kinsley, Layla. I ate tacos.\",\"I had dinner with Hazel, Lydia, Olivia, Avery, Piper, Nevaeh, Rylee, Claire, Kinsley, Layla. I ate tacos.\"\n17856,2021/10/29,\"I talked to Lydia, Claire for 10 minutes in the early evening.\",\"I talked to Lydia, Claire for 10 minutes in the early evening.\"\n17857,2021/10/29,I spent 22 minutes on a book today.,I spent 22 minutes on a book today.\n17858,2021/10/30,I did HIIT on 2021/10/30.,I did HIIT on 2021/10/30.\n17859,2021/10/30,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n17860,2021/10/30,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n17861,2021/10/30,I talked to Piper for 16 minutes in the early afternoon.,I talked to Piper for 16 minutes in the early afternoon.\n17862,2021/10/30,I spent 32 minutes watching a documentary on TV today.,I spent 32 minutes watching a documentary on TV today.\n17863,2021/10/31,\"I went grocery shopping. I bought some guava, nectarines, peaches, soda, apple juice, orange juice, milk, and facial wash\",\"I went grocery shopping. I bought some guava, nectarines, peaches, soda, apple juice, orange juice, milk, and facial wash\"\n17864,2021/10/31,I did HIIT on 2021/10/31.,I did HIIT on 2021/10/31.\n17865,2021/10/31,\"I had dinner with Andrew, Carter, Kayden, Emily. I ate a burger.\",\"I had dinner with Andrew, Carter, Kayden, Emily. I ate a burger.\"\n17866,2021/10/31,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n17867,2021/10/31,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n17868,2021/11/01,I did weight lifting on 2021/11/01.,I did weight lifting on 2021/11/01.\n17869,2021/11/01,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n17870,2021/11/01,\"I talked to Claire, Avery for 7 minutes in the morning.\",\"I talked to Claire, Avery for 7 minutes in the morning.\"\n17871,2021/11/01,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n17872,2021/11/01,I spent 28 minutes watching a movie on TV today.,I spent 28 minutes watching a movie on TV today.\n17873,2021/11/02,I went on a date with Isaiah on 2021/11/02 at a boba shop,I went on a date with Isaiah on 2021/11/02 at a boba shop\n17874,2021/11/02,I did hiking on 2021/11/02.,I did hiking on 2021/11/02.\n17875,2021/11/02,\"I had toast and cheese for breakfast with Benjamin, Jackson, Willow, Avery\",\"I had toast and cheese for breakfast with Benjamin, Jackson, Willow, Avery\"\n17876,2021/11/02,I ate a burger for lunch.,I ate a burger for lunch.\n17877,2021/11/02,I spent 45 minutes reading social media today.,I spent 45 minutes reading social media today.\n17878,2021/11/02,I watched a documentary for 54 minutes on TV today.,I watched a documentary for 54 minutes on TV today.\n17879,2021/11/03,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n17880,2021/11/03,\"I talked to Lydia, Piper for 23 minutes in the early afternoon.\",\"I talked to Lydia, Piper for 23 minutes in the early afternoon.\"\n17881,2021/11/03,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n17882,2021/11/04,\"I was baking blackberry-raspberry skillet cobbler, lemon meringue cookies on 2021/11/04 with Piper, Avery, Claire, Olivia at my place\",\"I was baking blackberry-raspberry skillet cobbler, lemon meringue cookies on 2021/11/04 with Piper, Avery, Claire, Olivia at my place\"\n17883,2021/11/04,I did swimming on 2021/11/04.,I did swimming on 2021/11/04.\n17884,2021/11/04,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n17885,2021/11/04,\"I had lunch with Hazel, Piper, Rylee. I ate chinese food.\",\"I had lunch with Hazel, Piper, Rylee. I ate chinese food.\"\n17886,2021/11/04,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n17887,2021/11/04,I spent 40 minutes reading social media today.,I spent 40 minutes reading social media today.\n17888,2021/11/05,I did swimming on 2021/11/05.,I did swimming on 2021/11/05.\n17889,2021/11/05,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n17890,2021/11/05,I had sushi for lunch with Carter,I had sushi for lunch with Carter\n17891,2021/11/05,I spent 16 talking to Nora on various topics in the early afternoon.,I spent 16 talking to Nora on various topics in the early afternoon.\n17892,2021/11/05,I spent 46 minutes on social media today.,I spent 46 minutes on social media today.\n17893,2021/11/06,\"I bought some nectarines, mangos, raspberries, pineapples, soda, tea, milk, apple juice, shaving cream, conditioner from the grocery store. I saw Andrew at the grocery store.\",\"I bought some nectarines, mangos, raspberries, pineapples, soda, tea, milk, apple juice, shaving cream, conditioner from the grocery store. I saw Andrew at the grocery store.\"\n17894,2021/11/06,I did swimming on 2021/11/06.,I did swimming on 2021/11/06.\n17895,2021/11/06,I spent 54 minutes watching news on TV today.,I spent 54 minutes watching news on TV today.\n17896,2021/11/07,I did swimming on 2021/11/07.,I did swimming on 2021/11/07.\n17897,2021/11/07,\"I had lunch with Olivia, Hazel, Piper, Rylee. I ate fish and chips.\",\"I had lunch with Olivia, Hazel, Piper, Rylee. I ate fish and chips.\"\n17898,2021/11/07,\"I talked to Kinsley, Piper for 16 minutes in the early evening.\",\"I talked to Kinsley, Piper for 16 minutes in the early evening.\"\n17899,2021/11/07,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n17900,2021/11/08,I did swimming on 2021/11/08.,I did swimming on 2021/11/08.\n17901,2021/11/08,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n17902,2021/11/08,\"I had pasta for dinner with Andrew, Emily\",\"I had pasta for dinner with Andrew, Emily\"\n17903,2021/11/08,I talked to Nevaeh for 46 minutes in the late afternoon.,I talked to Nevaeh for 46 minutes in the late afternoon.\n17904,2021/11/08,I spent 50 minutes on social media today.,I spent 50 minutes on social media today.\n17905,2021/11/08,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n17906,2021/11/09,\"On 2021/11/09, I took Willow on a date to a park\",\"On 2021/11/09, I took Willow on a date to a park\"\n17907,2021/11/09,I did swimming on 2021/11/09.,I did swimming on 2021/11/09.\n17908,2021/11/09,\"I had chinese food for lunch with Carter, Kayden, Andrew\",\"I had chinese food for lunch with Carter, Kayden, Andrew\"\n17909,2021/11/09,I ate pasta for dinner.,I ate pasta for dinner.\n17910,2021/11/09,I talked to Nora for 46 minutes in the morning.,I talked to Nora for 46 minutes in the morning.\n17911,2021/11/10,\"I went grocery shopping. I bought some cherres, tea, coffee, orange juice, and conditioner, paper towel, shaving cream\",\"I went grocery shopping. I bought some cherres, tea, coffee, orange juice, and conditioner, paper towel, shaving cream\"\n17912,2021/11/10,I did running on 2021/11/10.,I did running on 2021/11/10.\n17913,2021/11/10,I ate a burger for lunch.,I ate a burger for lunch.\n17914,2021/11/10,\"I talked to Piper, Rylee, Kinsley for 15 minutes late in the evening.\",\"I talked to Piper, Rylee, Kinsley for 15 minutes late in the evening.\"\n17915,2021/11/11,I did swimming on 2021/11/11.,I did swimming on 2021/11/11.\n17916,2021/11/11,I ate steak for lunch.,I ate steak for lunch.\n17917,2021/11/11,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n17918,2021/11/11,I watched a documentary for 33 minutes on TV today.,I watched a documentary for 33 minutes on TV today.\n17919,2021/11/12,I did HIIT on 2021/11/12.,I did HIIT on 2021/11/12.\n17920,2021/11/12,\"I had eggs, sausages, and bread for breakfast with Piper, Olivia, Claire, Lydia, Nevaeh, Eva, Avery, Nora, Piper, Hazel, Layla, Rylee, Kinsley\",\"I had eggs, sausages, and bread for breakfast with Piper, Olivia, Claire, Lydia, Nevaeh, Eva, Avery, Nora, Piper, Hazel, Layla, Rylee, Kinsley\"\n17921,2021/11/12,I spent 50 talking to Piper on various topics in the early evening.,I spent 50 talking to Piper on various topics in the early evening.\n17922,2021/11/12,\"I talked to Piper, Nora for 32 minutes in the morning.\",\"I talked to Piper, Nora for 32 minutes in the morning.\"\n17923,2021/11/12,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n17924,2021/11/13,I did HIIT on 2021/11/13.,I did HIIT on 2021/11/13.\n17925,2021/11/13,\"I spent 26 talking to Piper, Olivia on various topics in the early evening.\",\"I spent 26 talking to Piper, Olivia on various topics in the early evening.\"\n17926,2021/11/13,\"I spent 12 talking to Lydia, Avery, Rylee, Eva on various topics in the late afternoon.\",\"I spent 12 talking to Lydia, Avery, Rylee, Eva on various topics in the late afternoon.\"\n17927,2021/11/13,I spent 6 minutes on news today.,I spent 6 minutes on news today.\n17928,2021/11/13,I watched a documentary for 15 minutes on TV today.,I watched a documentary for 15 minutes on TV today.\n17929,2021/11/14,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n17930,2021/11/14,\"I spent 35 talking to Avery, Claire, Layla, Nora on various topics late in the evening.\",\"I spent 35 talking to Avery, Claire, Layla, Nora on various topics late in the evening.\"\n17931,2021/11/14,I talked to Piper for 27 minutes late in the evening.,I talked to Piper for 27 minutes late in the evening.\n17932,2021/11/14,I spent 16 minutes on a book today.,I spent 16 minutes on a book today.\n17933,2021/11/14,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n17934,2021/11/15,\"I bought some apples, apricots, raspberries, blackberries, mango juice, coffee, apple juice, facial wash, paper towel online.\",\"I bought some apples, apricots, raspberries, blackberries, mango juice, coffee, apple juice, facial wash, paper towel online.\"\n17935,2021/11/15,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n17936,2021/11/15,I spent 10 minutes reading news today.,I spent 10 minutes reading news today.\n17937,2021/11/15,I watched news for 41 minutes on TV today.,I watched news for 41 minutes on TV today.\n17938,2021/11/16,I did swimming on 2021/11/16.,I did swimming on 2021/11/16.\n17939,2021/11/16,I ate indian food for dinner.,I ate indian food for dinner.\n17940,2021/11/17,\"I talked to Nora, Layla, Hazel, Piper for 46 minutes in the late afternoon.\",\"I talked to Nora, Layla, Hazel, Piper for 46 minutes in the late afternoon.\"\n17941,2021/11/17,\"I spent 49 talking to Rylee, Lydia, Layla, Hazel on various topics in the early evening.\",\"I spent 49 talking to Rylee, Lydia, Layla, Hazel on various topics in the early evening.\"\n17942,2021/11/17,I spent 43 minutes watching a documentary on TV today.,I spent 43 minutes watching a documentary on TV today.\n17943,2021/11/18,\"I had pasta for dinner with Emily, Carter, Andrew\",\"I had pasta for dinner with Emily, Carter, Andrew\"\n17944,2021/11/18,\"I talked to Nevaeh, Olivia, Rylee, Avery for 38 minutes in the early evening.\",\"I talked to Nevaeh, Olivia, Rylee, Avery for 38 minutes in the early evening.\"\n17945,2021/11/18,I talked to Lydia for 49 minutes in the early afternoon.,I talked to Lydia for 49 minutes in the early afternoon.\n17946,2021/11/18,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n17947,2021/11/18,I spent 30 minutes watching news on TV today.,I spent 30 minutes watching news on TV today.\n17948,2021/11/19,I did running on 2021/11/19.,I did running on 2021/11/19.\n17949,2021/11/19,\"I had breakfast with Kayden, Andrew, Emily. I ate peanut-butter-jam.\",\"I had breakfast with Kayden, Andrew, Emily. I ate peanut-butter-jam.\"\n17950,2021/11/19,\"I spent 5 talking to Nevaeh, Olivia, Piper on various topics in the early afternoon.\",\"I spent 5 talking to Nevaeh, Olivia, Piper on various topics in the early afternoon.\"\n17951,2021/11/19,\"I spent 37 talking to Layla, Eva on various topics in the early afternoon.\",\"I spent 37 talking to Layla, Eva on various topics in the early afternoon.\"\n17952,2021/11/19,I spent 32 minutes on a book today.,I spent 32 minutes on a book today.\n17953,2021/11/20,I did swimming on 2021/11/20.,I did swimming on 2021/11/20.\n17954,2021/11/20,I had lunch. I ate steak.,I had lunch. I ate steak.\n17955,2021/11/20,\"I had dinner with Carter, Andrew, Emily, Kayden. I ate chinese food.\",\"I had dinner with Carter, Andrew, Emily, Kayden. I ate chinese food.\"\n17956,2021/11/20,I spent 7 talking to Piper on various topics in the early afternoon.,I spent 7 talking to Piper on various topics in the early afternoon.\n17957,2021/11/20,I spent 20 minutes reading a book today.,I spent 20 minutes reading a book today.\n17958,2021/11/21,I spent time working out on 2021/11/21 with Kayden.,I spent time working out on 2021/11/21 with Kayden.\n17959,2021/11/21,I did swimming on 2021/11/21.,I did swimming on 2021/11/21.\n17960,2021/11/21,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n17961,2021/11/21,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n17962,2021/11/21,I spent 46 talking to Olivia on various topics in the morning.,I spent 46 talking to Olivia on various topics in the morning.\n17963,2021/11/21,I watched a documentary for 53 minutes on TV today.,I watched a documentary for 53 minutes on TV today.\n17964,2021/11/22,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n17965,2021/11/22,\"I had indian food for lunch with Jackson, Willow\",\"I had indian food for lunch with Jackson, Willow\"\n17966,2021/11/22,I prepare pasta for dinner.,I prepare pasta for dinner.\n17967,2021/11/22,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n17968,2021/11/23,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n17969,2021/11/23,I had lunch with Carter. I ate sandwich.,I had lunch with Carter. I ate sandwich.\n17970,2021/11/23,\"I spent 54 talking to Avery, Hazel, Piper, Layla on various topics in the late afternoon.\",\"I spent 54 talking to Avery, Hazel, Piper, Layla on various topics in the late afternoon.\"\n17971,2021/11/23,I watched a movie for 37 minutes on TV today.,I watched a movie for 37 minutes on TV today.\n17972,2021/11/24,I ate sushi for dinner.,I ate sushi for dinner.\n17973,2021/11/24,\"I spent 51 talking to Avery, Hazel on various topics in the early evening.\",\"I spent 51 talking to Avery, Hazel on various topics in the early evening.\"\n17974,2021/11/25,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n17975,2021/11/25,I spent 20 talking to Nora on various topics in the morning.,I spent 20 talking to Nora on various topics in the morning.\n17976,2021/11/25,I talked to Hazel for 35 minutes in the late afternoon.,I talked to Hazel for 35 minutes in the late afternoon.\n17977,2021/11/26,I did hiking on 2021/11/26.,I did hiking on 2021/11/26.\n17978,2021/11/26,\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate pancakes.\",\"I had breakfast with Kayden, Emily, Andrew, Carter. I ate pancakes.\"\n17979,2021/11/26,\"I spent 15 talking to Claire, Lydia on various topics in the early evening.\",\"I spent 15 talking to Claire, Lydia on various topics in the early evening.\"\n17980,2021/11/27,\"I had breakfast with Kayden, Andrew. I ate pancakes.\",\"I had breakfast with Kayden, Andrew. I ate pancakes.\"\n17981,2021/11/27,I had lunch with Andrew. I ate indian food.,I had lunch with Andrew. I ate indian food.\n17982,2021/11/27,I spent 25 minutes reading a book today.,I spent 25 minutes reading a book today.\n17983,2021/11/27,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n17984,2021/11/28,I did HIIT on 2021/11/28.,I did HIIT on 2021/11/28.\n17985,2021/11/28,\"I spent 37 talking to Avery, Nevaeh, Claire on various topics in the morning.\",\"I spent 37 talking to Avery, Nevaeh, Claire on various topics in the morning.\"\n17986,2021/11/28,I spent 51 minutes reading a book today.,I spent 51 minutes reading a book today.\n17987,2021/11/29,\"I bought some mandarins, guava, raspberries, watermelons, soda, shampoo, mouth wash, toothpaste online.\",\"I bought some mandarins, guava, raspberries, watermelons, soda, shampoo, mouth wash, toothpaste online.\"\n17988,2021/11/29,I did HIIT on 2021/11/29.,I did HIIT on 2021/11/29.\n17989,2021/11/29,\"I had breakfast with Claire, Piper, Layla, Eva, Rylee, Olivia, Lydia, Nevaeh, Hazel. I ate oatmeal.\",\"I had breakfast with Claire, Piper, Layla, Eva, Rylee, Olivia, Lydia, Nevaeh, Hazel. I ate oatmeal.\"\n17990,2021/11/29,I watched a tv series for 35 minutes on TV today.,I watched a tv series for 35 minutes on TV today.\n17991,2021/11/30,\"I talked to Avery, Piper for 6 minutes late in the evening.\",\"I talked to Avery, Piper for 6 minutes late in the evening.\"\n17992,2021/11/30,I watched a movie for 25 minutes on TV today.,I watched a movie for 25 minutes on TV today.\n17993,2021/12/01,I ate steak for lunch.,I ate steak for lunch.\n17994,2021/12/01,I spent 51 minutes on social media today.,I spent 51 minutes on social media today.\n17995,2021/12/01,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n17996,2021/12/02,I did HIIT on 2021/12/02.,I did HIIT on 2021/12/02.\n17997,2021/12/02,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n17998,2021/12/03,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n17999,2021/12/03,I prepare indian food for lunch.,I prepare indian food for lunch.\n18000,2021/12/03,I ate a burger for dinner.,I ate a burger for dinner.\n18001,2021/12/03,\"I spent 19 talking to Claire, Nora, Piper on various topics in the early evening.\",\"I spent 19 talking to Claire, Nora, Piper on various topics in the early evening.\"\n18002,2021/12/03,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n18003,2021/12/04,\"I had breakfast with Andrew, Kayden, Emily. I ate pancakes.\",\"I had breakfast with Andrew, Kayden, Emily. I ate pancakes.\"\n18004,2021/12/05,I prepare pasta for dinner.,I prepare pasta for dinner.\n18005,2021/12/05,\"I spent 24 talking to Piper, Hazel, Nora on various topics during lunch hours.\",\"I spent 24 talking to Piper, Hazel, Nora on various topics during lunch hours.\"\n18006,2021/12/05,I spent 22 minutes watching a movie on TV today.,I spent 22 minutes watching a movie on TV today.\n18007,2021/12/06,I prepare indian food for lunch.,I prepare indian food for lunch.\n18008,2021/12/06,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n18009,2021/12/06,I spent 11 minutes watching news on TV today.,I spent 11 minutes watching news on TV today.\n18010,2021/12/07,I did biking on 2021/12/07.,I did biking on 2021/12/07.\n18011,2021/12/07,\"I had lunch with Kayden, Emily, Andrew, Carter. I ate steak.\",\"I had lunch with Kayden, Emily, Andrew, Carter. I ate steak.\"\n18012,2021/12/07,\"I talked to Lydia, Avery for 11 minutes late in the evening.\",\"I talked to Lydia, Avery for 11 minutes late in the evening.\"\n18013,2021/12/07,I spent 27 minutes on a book today.,I spent 27 minutes on a book today.\n18014,2021/12/08,\"I had lunch with Nevaeh, Olivia, Claire, Hazel, Layla, Kinsley, Nora, Avery, Eva. I ate tacos.\",\"I had lunch with Nevaeh, Olivia, Claire, Hazel, Layla, Kinsley, Nora, Avery, Eva. I ate tacos.\"\n18015,2021/12/08,\"I had pasta for dinner with Eva, Layla, Rylee\",\"I had pasta for dinner with Eva, Layla, Rylee\"\n18016,2021/12/08,I spent 26 talking to Nora on various topics in the early afternoon.,I spent 26 talking to Nora on various topics in the early afternoon.\n18017,2021/12/08,\"I talked to Lydia, Kinsley, Olivia for 43 minutes in the morning.\",\"I talked to Lydia, Kinsley, Olivia for 43 minutes in the morning.\"\n18018,2021/12/08,I spent 30 minutes watching a tv series on TV today.,I spent 30 minutes watching a tv series on TV today.\n18019,2021/12/09,\"I spent time working out on 2021/12/09 with Jackson, Benjamin, Avery.\",\"I spent time working out on 2021/12/09 with Jackson, Benjamin, Avery.\"\n18020,2021/12/09,\"I had lunch with Emily, Carter, Andrew. I ate chinese food.\",\"I had lunch with Emily, Carter, Andrew. I ate chinese food.\"\n18021,2021/12/09,I spent 53 minutes reading a book today.,I spent 53 minutes reading a book today.\n18022,2021/12/10,\"I talked to Hazel, Olivia, Eva for 25 minutes in the late afternoon.\",\"I talked to Hazel, Olivia, Eva for 25 minutes in the late afternoon.\"\n18023,2021/12/10,\"I talked to Piper, Hazel, Avery, Rylee for 16 minutes late in the evening.\",\"I talked to Piper, Hazel, Avery, Rylee for 16 minutes late in the evening.\"\n18024,2021/12/11,I went on a date with Silas on 2021/12/11 at a coffee Shop,I went on a date with Silas on 2021/12/11 at a coffee Shop\n18025,2021/12/11,I spent time meditation on 2021/12/11 with Jackson.,I spent time meditation on 2021/12/11 with Jackson.\n18026,2021/12/11,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n18027,2021/12/11,\"I had dinner with Claire, Hazel, Nevaeh, Lydia, Nora, Piper, Kinsley, Avery, Piper, Rylee, Olivia, Eva. I ate indian food.\",\"I had dinner with Claire, Hazel, Nevaeh, Lydia, Nora, Piper, Kinsley, Avery, Piper, Rylee, Olivia, Eva. I ate indian food.\"\n18028,2021/12/12,I did hiking on 2021/12/12.,I did hiking on 2021/12/12.\n18029,2021/12/12,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n18030,2021/12/12,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n18031,2021/12/13,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n18032,2021/12/13,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n18033,2021/12/13,I spent 40 minutes on social media today.,I spent 40 minutes on social media today.\n18034,2021/12/14,\"I had breakfast with Benjamin, Willow, Avery. I ate oatmeal.\",\"I had breakfast with Benjamin, Willow, Avery. I ate oatmeal.\"\n18035,2021/12/14,I spent 24 minutes on social media today.,I spent 24 minutes on social media today.\n18036,2021/12/15,I ate cereals for breakfast.,I ate cereals for breakfast.\n18037,2021/12/15,\"I had lunch with Layla, Eva, Lydia, Avery, Rylee, Nora, Olivia, Claire, Nevaeh, Hazel. I ate indian food.\",\"I had lunch with Layla, Eva, Lydia, Avery, Rylee, Nora, Olivia, Claire, Nevaeh, Hazel. I ate indian food.\"\n18038,2021/12/15,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n18039,2021/12/15,\"I spent 18 talking to Piper, Nevaeh on various topics late in the evening.\",\"I spent 18 talking to Piper, Nevaeh on various topics late in the evening.\"\n18040,2021/12/15,I spent 50 minutes reading a book today.,I spent 50 minutes reading a book today.\n18041,2021/12/16,I did swimming on 2021/12/16.,I did swimming on 2021/12/16.\n18042,2021/12/16,\"I talked to Kinsley, Rylee for 10 minutes late in the evening.\",\"I talked to Kinsley, Rylee for 10 minutes late in the evening.\"\n18043,2021/12/16,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n18044,2021/12/17,\"I talked to Olivia, Layla, Nora, Hazel for 52 minutes in the early evening.\",\"I talked to Olivia, Layla, Nora, Hazel for 52 minutes in the early evening.\"\n18045,2021/12/17,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n18046,2021/12/18,I did HIIT on 2021/12/18.,I did HIIT on 2021/12/18.\n18047,2021/12/18,I prepare pasta for dinner.,I prepare pasta for dinner.\n18048,2021/12/18,\"I spent 8 talking to Claire, Nevaeh on various topics in the early afternoon.\",\"I spent 8 talking to Claire, Nevaeh on various topics in the early afternoon.\"\n18049,2021/12/18,I spent 17 talking to Claire on various topics in the late afternoon.,I spent 17 talking to Claire on various topics in the late afternoon.\n18050,2021/12/18,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n18051,2021/12/19,I did hiking on 2021/12/19.,I did hiking on 2021/12/19.\n18052,2021/12/19,\"I had breakfast with Kinsley, Hazel, Rylee, Piper. I ate pancakes.\",\"I had breakfast with Kinsley, Hazel, Rylee, Piper. I ate pancakes.\"\n18053,2021/12/19,I ate sushi for lunch.,I ate sushi for lunch.\n18054,2021/12/19,I spent 13 talking to Layla on various topics late in the evening.,I spent 13 talking to Layla on various topics late in the evening.\n18055,2021/12/20,I had lunch with Carter. I ate indian food.,I had lunch with Carter. I ate indian food.\n18056,2021/12/20,I ate a burger for dinner.,I ate a burger for dinner.\n18057,2021/12/20,\"I spent 32 talking to Lydia, Layla, Nora, Eva on various topics late in the evening.\",\"I spent 32 talking to Lydia, Layla, Nora, Eva on various topics late in the evening.\"\n18058,2021/12/20,I spent 5 minutes watching a tv series on TV today.,I spent 5 minutes watching a tv series on TV today.\n18059,2021/12/21,\"On 2021/12/21, I took Sofia on a date to a restaurant\",\"On 2021/12/21, I took Sofia on a date to a restaurant\"\n18060,2021/12/21,\"I went grocery shopping with Carter, Emily, Kayden. I bought some blueberries, orange juice, coffee, guava juice, and toothpaste, toothbrush, body lotion, mouthwash\",\"I went grocery shopping with Carter, Emily, Kayden. I bought some blueberries, orange juice, coffee, guava juice, and toothpaste, toothbrush, body lotion, mouthwash\"\n18061,2021/12/21,I did weight lifting on 2021/12/21.,I did weight lifting on 2021/12/21.\n18062,2021/12/22,I did weight lifting on 2021/12/22.,I did weight lifting on 2021/12/22.\n18063,2021/12/22,\"I had a burger for lunch with Emily, Carter\",\"I had a burger for lunch with Emily, Carter\"\n18064,2021/12/22,\"I had pasta for dinner with Avery, Olivia, Eva, Lydia, Hazel, Piper, Claire, Nevaeh, Nora\",\"I had pasta for dinner with Avery, Olivia, Eva, Lydia, Hazel, Piper, Claire, Nevaeh, Nora\"\n18065,2021/12/22,\"I talked to Eva, Rylee, Hazel, Nora for 31 minutes during lunch hours.\",\"I talked to Eva, Rylee, Hazel, Nora for 31 minutes during lunch hours.\"\n18066,2021/12/22,I spent 29 minutes on social media today.,I spent 29 minutes on social media today.\n18067,2021/12/23,I did swimming on 2021/12/23.,I did swimming on 2021/12/23.\n18068,2021/12/23,\"I had breakfast with Hazel, Lydia, Layla, Piper. I ate eggs, sausages, and bread.\",\"I had breakfast with Hazel, Lydia, Layla, Piper. I ate eggs, sausages, and bread.\"\n18069,2021/12/23,\"I had sandwich for lunch with Benjamin, Jackson\",\"I had sandwich for lunch with Benjamin, Jackson\"\n18070,2021/12/23,I ate steak for dinner.,I ate steak for dinner.\n18071,2021/12/23,\"I spent 37 talking to Claire, Avery on various topics in the morning.\",\"I spent 37 talking to Claire, Avery on various topics in the morning.\"\n18072,2021/12/23,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n18073,2021/12/24,I did biking on 2021/12/24.,I did biking on 2021/12/24.\n18074,2021/12/24,\"I had dinner with Benjamin, Jackson. I ate fish and chips.\",\"I had dinner with Benjamin, Jackson. I ate fish and chips.\"\n18075,2021/12/24,\"I talked to Kinsley, Layla, Lydia for 19 minutes in the late afternoon.\",\"I talked to Kinsley, Layla, Lydia for 19 minutes in the late afternoon.\"\n18076,2021/12/25,I went for an annual dental cleaning and checkup on 2021/12/25 at the hospital.,I went for an annual dental cleaning and checkup on 2021/12/25 at the hospital.\n18077,2021/12/25,\"On 2021/12/25, I took Lambert on a date to a boba shop\",\"On 2021/12/25, I took Lambert on a date to a boba shop\"\n18078,2021/12/25,I had sandwich for dinner with Carter,I had sandwich for dinner with Carter\n18079,2021/12/25,I watched a tv series for 6 minutes on TV today.,I watched a tv series for 6 minutes on TV today.\n18080,2021/12/26,I did HIIT on 2021/12/26.,I did HIIT on 2021/12/26.\n18081,2021/12/26,\"I talked to Avery, Lydia, Nora for 16 minutes in the early evening.\",\"I talked to Avery, Lydia, Nora for 16 minutes in the early evening.\"\n18082,2021/12/26,I talked to Olivia for 32 minutes late in the evening.,I talked to Olivia for 32 minutes late in the evening.\n18083,2021/12/26,I spent 35 minutes on social media today.,I spent 35 minutes on social media today.\n18084,2021/12/26,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n18085,2021/12/27,I did hiking on 2021/12/27.,I did hiking on 2021/12/27.\n18086,2021/12/27,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n18087,2021/12/27,I ate chinese food for dinner.,I ate chinese food for dinner.\n18088,2021/12/27,\"I spent 41 talking to Olivia, Claire, Layla on various topics late in the evening.\",\"I spent 41 talking to Olivia, Claire, Layla on various topics late in the evening.\"\n18089,2021/12/27,\"I spent 21 talking to Claire, Kinsley, Piper, Piper on various topics during lunch hours.\",\"I spent 21 talking to Claire, Kinsley, Piper, Piper on various topics during lunch hours.\"\n18090,2021/12/27,I spent 40 minutes watching a documentary on TV today.,I spent 40 minutes watching a documentary on TV today.\n18091,2021/12/28,I did hiking on 2021/12/28.,I did hiking on 2021/12/28.\n18092,2021/12/28,I had breakfast with Hazel. I ate pancakes.,I had breakfast with Hazel. I ate pancakes.\n18093,2021/12/28,\"I had lunch with Carter, Emily, Kayden, Andrew. I ate fish and chips.\",\"I had lunch with Carter, Emily, Kayden, Andrew. I ate fish and chips.\"\n18094,2021/12/28,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n18095,2021/12/28,I watched a movie for 48 minutes on TV today.,I watched a movie for 48 minutes on TV today.\n18096,2021/12/29,I did biking on 2021/12/29.,I did biking on 2021/12/29.\n18097,2021/12/29,\"I had eggs, sausages, and bread for breakfast with Kayden, Emily, Carter\",\"I had eggs, sausages, and bread for breakfast with Kayden, Emily, Carter\"\n18098,2021/12/29,I had tacos for lunch with Kayden,I had tacos for lunch with Kayden\n18099,2021/12/29,I spent 14 minutes on social media today.,I spent 14 minutes on social media today.\n18100,2021/12/30,I spent 43 talking to Piper on various topics in the late afternoon.,I spent 43 talking to Piper on various topics in the late afternoon.\n18101,2021/12/30,I talked to Piper for 24 minutes in the early evening.,I talked to Piper for 24 minutes in the early evening.\n18102,2021/12/30,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n18103,2021/12/30,I watched a movie for 36 minutes on TV today.,I watched a movie for 36 minutes on TV today.\n18104,2021/12/31,I did running on 2021/12/31.,I did running on 2021/12/31.\n18105,2021/12/31,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n18106,2021/12/31,\"I had lunch with Willow, Benjamin, Jackson. I ate sushi.\",\"I had lunch with Willow, Benjamin, Jackson. I ate sushi.\"\n18107,2021/12/31,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n18108,2021/12/31,\"I talked to Avery, Olivia, Nevaeh for 37 minutes during lunch hours.\",\"I talked to Avery, Olivia, Nevaeh for 37 minutes during lunch hours.\"\n18109,2021/12/31,\"I talked to Hazel, Rylee, Nevaeh, Avery for 50 minutes in the early evening.\",\"I talked to Hazel, Rylee, Nevaeh, Avery for 50 minutes in the early evening.\"\n18110,2021/12/31,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n18111,2022/01/01,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n18112,2022/01/01,\"I bought some pears, peaches, pineapples, mandarins, milk, facial wash from the grocery store. I saw Carter, Andrew, Kayden, Emily at the grocery store.\",\"I bought some pears, peaches, pineapples, mandarins, milk, facial wash from the grocery store. I saw Carter, Andrew, Kayden, Emily at the grocery store.\"\n18113,2022/01/01,I did biking on 2022/01/01.,I did biking on 2022/01/01.\n18114,2022/01/01,I had breakfast with Carter. I ate pancakes.,I had breakfast with Carter. I ate pancakes.\n18115,2022/01/01,\"I had lunch with Olivia, Lydia, Avery. I ate a burger.\",\"I had lunch with Olivia, Lydia, Avery. I ate a burger.\"\n18116,2022/01/01,I talked to Olivia for 6 minutes late in the evening.,I talked to Olivia for 6 minutes late in the evening.\n18117,2022/01/01,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n18118,2022/01/02,\"On 2022/01/02 Olivia, Nevaeh, Hazel and I went to Dubai, UAE together for 7 days \",\"On 2022/01/02 Olivia, Nevaeh, Hazel and I went to Dubai, UAE together for 7 days \"\n18119,2022/01/02,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n18120,2022/01/02,\"I talked to Nora, Piper, Claire, Eva for 10 minutes in the early afternoon.\",\"I talked to Nora, Piper, Claire, Eva for 10 minutes in the early afternoon.\"\n18121,2022/01/02,\"I talked to Piper, Piper, Rylee for 42 minutes in the early evening.\",\"I talked to Piper, Piper, Rylee for 42 minutes in the early evening.\"\n18122,2022/01/02,I watched a documentary for 40 minutes on TV today.,I watched a documentary for 40 minutes on TV today.\n18123,2022/01/03,\"During my trip to Dubai, UAE, I visited Miracle Garden on 2022/01 with Olivia, Nevaeh, Hazel.\",\"During my trip to Dubai, UAE, I visited Miracle Garden on 2022/01 with Olivia, Nevaeh, Hazel.\"\n18124,2022/01/03,\"I ate Italian food at Falafel Alzaeem with Olivia, Nevaeh, Hazel on  2022/01/03 when I was in Dubai, UAE.\",\"I ate Italian food at Falafel Alzaeem with Olivia, Nevaeh, Hazel on  2022/01/03 when I was in Dubai, UAE.\"\n18125,2022/01/03,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n18126,2022/01/04,\"During my trip to Dubai, UAE, I visited Burj Khalifa on 2022/01 with Olivia, Nevaeh, Hazel.\",\"During my trip to Dubai, UAE, I visited Burj Khalifa on 2022/01 with Olivia, Nevaeh, Hazel.\"\n18127,2022/01/04,\"I ate Indian food at Falafel Alzaeem with Olivia, Nevaeh, Hazel on  2022/01/04 when I was in Dubai, UAE.\",\"I ate Indian food at Falafel Alzaeem with Olivia, Nevaeh, Hazel on  2022/01/04 when I was in Dubai, UAE.\"\n18128,2022/01/04,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n18129,2022/01/04,\"I talked to Eva, Nevaeh, Claire, Lydia for 43 minutes in the late afternoon.\",\"I talked to Eva, Nevaeh, Claire, Lydia for 43 minutes in the late afternoon.\"\n18130,2022/01/04,\"I talked to Kinsley, Nevaeh for 21 minutes in the early evening.\",\"I talked to Kinsley, Nevaeh for 21 minutes in the early evening.\"\n18131,2022/01/04,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n18132,2022/01/04,I watched news for 30 minutes on TV today.,I watched news for 30 minutes on TV today.\n18133,2022/01/05,\"During my trip to Dubai, UAE, I visited Dubai Aquarium & Underwater Zoo on 2022/01 with Olivia, Nevaeh, Hazel.\",\"During my trip to Dubai, UAE, I visited Dubai Aquarium & Underwater Zoo on 2022/01 with Olivia, Nevaeh, Hazel.\"\n18134,2022/01/05,I went on a date with David on 2022/01/05 at a coffee Shop,I went on a date with David on 2022/01/05 at a coffee Shop\n18135,2022/01/05,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n18136,2022/01/05,I spent 12 talking to Hazel on various topics in the morning.,I spent 12 talking to Hazel on various topics in the morning.\n18137,2022/01/05,I spent 11 minutes on a book today.,I spent 11 minutes on a book today.\n18138,2022/01/06,\"I ate Italian food at Falafel Alzaeem with Olivia, Nevaeh, Hazel on  2022/01/06 when I was in Dubai, UAE.\",\"I ate Italian food at Falafel Alzaeem with Olivia, Nevaeh, Hazel on  2022/01/06 when I was in Dubai, UAE.\"\n18139,2022/01/06,\"I spent 15 talking to Nevaeh, Avery, Lydia, Hazel on various topics during lunch hours.\",\"I spent 15 talking to Nevaeh, Avery, Lydia, Hazel on various topics during lunch hours.\"\n18140,2022/01/06,I spent 12 minutes on social media today.,I spent 12 minutes on social media today.\n18141,2022/01/07,\"I ate Chinese food at Hor Al Anz Bakery with Olivia, Nevaeh, Hazel on  2022/01/07 when I was in Dubai, UAE.\",\"I ate Chinese food at Hor Al Anz Bakery with Olivia, Nevaeh, Hazel on  2022/01/07 when I was in Dubai, UAE.\"\n18142,2022/01/07,\"I had toast and cheese for breakfast with Avery, Benjamin, Willow, Jackson\",\"I had toast and cheese for breakfast with Avery, Benjamin, Willow, Jackson\"\n18143,2022/01/07,\"I talked to Layla, Claire for 39 minutes during lunch hours.\",\"I talked to Layla, Claire for 39 minutes during lunch hours.\"\n18144,2022/01/07,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n18145,2022/01/08,\"I ate Italian food at Sind Punjab with Olivia, Nevaeh, Hazel on  2022/01/08 when I was in Dubai, UAE.\",\"I ate Italian food at Sind Punjab with Olivia, Nevaeh, Hazel on  2022/01/08 when I was in Dubai, UAE.\"\n18146,2022/01/08,\"I talked to Hazel, Piper, Eva, Olivia for 24 minutes late in the evening.\",\"I talked to Hazel, Piper, Eva, Olivia for 24 minutes late in the evening.\"\n18147,2022/01/09,\"On 2022/01/09, I took Wesley on a date to a park\",\"On 2022/01/09, I took Wesley on a date to a park\"\n18148,2022/01/09,I had cereals for breakfast with Carter,I had cereals for breakfast with Carter\n18149,2022/01/09,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n18150,2022/01/09,I ate a burger for dinner.,I ate a burger for dinner.\n18151,2022/01/09,I talked to Olivia for 43 minutes late in the evening.,I talked to Olivia for 43 minutes late in the evening.\n18152,2022/01/09,\"I talked to Kinsley, Hazel, Layla for 14 minutes in the early evening.\",\"I talked to Kinsley, Hazel, Layla for 14 minutes in the early evening.\"\n18153,2022/01/09,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n18154,2022/01/10,\"I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread.\"\n18155,2022/01/10,I had indian food for lunch with Carter,I had indian food for lunch with Carter\n18156,2022/01/10,I had dinner with Avery. I ate indian food.,I had dinner with Avery. I ate indian food.\n18157,2022/01/10,\"I talked to Claire, Lydia for 19 minutes during lunch hours.\",\"I talked to Claire, Lydia for 19 minutes during lunch hours.\"\n18158,2022/01/11,I did HIIT on 2022/01/11.,I did HIIT on 2022/01/11.\n18159,2022/01/11,\"I talked to Piper, Layla, Hazel, Avery for 13 minutes in the morning.\",\"I talked to Piper, Layla, Hazel, Avery for 13 minutes in the morning.\"\n18160,2022/01/11,I talked to Avery for 47 minutes in the late afternoon.,I talked to Avery for 47 minutes in the late afternoon.\n18161,2022/01/11,I watched a movie for 54 minutes on TV today.,I watched a movie for 54 minutes on TV today.\n18162,2022/01/12,I did weight lifting on 2022/01/12.,I did weight lifting on 2022/01/12.\n18163,2022/01/12,\"I had peanut-butter-jam for breakfast with Avery, Jackson\",\"I had peanut-butter-jam for breakfast with Avery, Jackson\"\n18164,2022/01/12,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n18165,2022/01/12,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n18166,2022/01/12,\"I talked to Nora, Layla for 16 minutes in the morning.\",\"I talked to Nora, Layla for 16 minutes in the morning.\"\n18167,2022/01/13,\"On 2022/01/13, I took Everett on a date to a boba shop\",\"On 2022/01/13, I took Everett on a date to a boba shop\"\n18168,2022/01/13,I did running on 2022/01/13.,I did running on 2022/01/13.\n18169,2022/01/13,I prepare steak for lunch.,I prepare steak for lunch.\n18170,2022/01/13,\"I talked to Layla, Avery, Nevaeh, Kinsley for 27 minutes in the early evening.\",\"I talked to Layla, Avery, Nevaeh, Kinsley for 27 minutes in the early evening.\"\n18171,2022/01/13,I spent 25 talking to Layla on various topics in the early evening.,I spent 25 talking to Layla on various topics in the early evening.\n18172,2022/01/14,I had toast and cheese for breakfast with Andrew,I had toast and cheese for breakfast with Andrew\n18173,2022/01/14,\"I had dinner with Piper, Nora, Nevaeh, Piper, Hazel. I ate chinese food.\",\"I had dinner with Piper, Nora, Nevaeh, Piper, Hazel. I ate chinese food.\"\n18174,2022/01/14,I spent 5 minutes on news today.,I spent 5 minutes on news today.\n18175,2022/01/14,I watched a tv series for 24 minutes on TV today.,I watched a tv series for 24 minutes on TV today.\n18176,2022/01/15,\"I had peanut-butter-jam for breakfast with Kayden, Carter, Andrew, Emily\",\"I had peanut-butter-jam for breakfast with Kayden, Carter, Andrew, Emily\"\n18177,2022/01/15,I ate pasta for lunch.,I ate pasta for lunch.\n18178,2022/01/15,\"I had dinner with Piper, Nevaeh, Lydia, Hazel, Nora, Piper, Kinsley, Olivia. I ate tacos.\",\"I had dinner with Piper, Nevaeh, Lydia, Hazel, Nora, Piper, Kinsley, Olivia. I ate tacos.\"\n18179,2022/01/15,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n18180,2022/01/16,\"I went grocery shopping with Rylee, Claire, Layla, Piper, Piper, Nora, Eva, Nevaeh, Lydia, Hazel, Olivia. I bought some strawberries, guava juice, tea, apple juice, and toilet paper, mouth wash, paper towel, shaving cream\",\"I went grocery shopping with Rylee, Claire, Layla, Piper, Piper, Nora, Eva, Nevaeh, Lydia, Hazel, Olivia. I bought some strawberries, guava juice, tea, apple juice, and toilet paper, mouth wash, paper towel, shaving cream\"\n18181,2022/01/16,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n18182,2022/01/16,\"I had a burger for lunch with Carter, Kayden, Emily\",\"I had a burger for lunch with Carter, Kayden, Emily\"\n18183,2022/01/16,I talked to Hazel for 44 minutes late in the evening.,I talked to Hazel for 44 minutes late in the evening.\n18184,2022/01/17,\"I had a burger for lunch with Layla, Lydia, Nevaeh, Nora, Avery, Claire, Kinsley, Piper, Piper, Rylee, Hazel\",\"I had a burger for lunch with Layla, Lydia, Nevaeh, Nora, Avery, Claire, Kinsley, Piper, Piper, Rylee, Hazel\"\n18185,2022/01/17,\"I spent 55 talking to Layla, Avery, Piper on various topics in the late afternoon.\",\"I spent 55 talking to Layla, Avery, Piper on various topics in the late afternoon.\"\n18186,2022/01/18,I ate a burger for lunch.,I ate a burger for lunch.\n18187,2022/01/18,I had chinese food for dinner with Jackson,I had chinese food for dinner with Jackson\n18188,2022/01/18,I spent 44 minutes on news today.,I spent 44 minutes on news today.\n18189,2022/01/19,\"I had toast and cheese for breakfast with Kayden, Emily, Andrew\",\"I had toast and cheese for breakfast with Kayden, Emily, Andrew\"\n18190,2022/01/19,I had tacos for dinner with Benjamin,I had tacos for dinner with Benjamin\n18191,2022/01/20,\"I went grocery shopping with Jackson, Benjamin. I bought some bananas, cherres, mangos, blueberries, pineapple juice, orange juice, coffee, mineral water, and shaving cream\",\"I went grocery shopping with Jackson, Benjamin. I bought some bananas, cherres, mangos, blueberries, pineapple juice, orange juice, coffee, mineral water, and shaving cream\"\n18192,2022/01/20,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n18193,2022/01/20,\"I spent 46 talking to Nora, Rylee, Hazel, Piper on various topics in the early evening.\",\"I spent 46 talking to Nora, Rylee, Hazel, Piper on various topics in the early evening.\"\n18194,2022/01/20,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n18195,2022/01/21,\"I talked to Hazel, Nora, Lydia, Kinsley for 18 minutes in the early afternoon.\",\"I talked to Hazel, Nora, Lydia, Kinsley for 18 minutes in the early afternoon.\"\n18196,2022/01/21,\"I spent 18 talking to Nora, Claire, Hazel on various topics in the early evening.\",\"I spent 18 talking to Nora, Claire, Hazel on various topics in the early evening.\"\n18197,2022/01/21,I spent 22 minutes reading social media today.,I spent 22 minutes reading social media today.\n18198,2022/01/22,I did swimming on 2022/01/22.,I did swimming on 2022/01/22.\n18199,2022/01/22,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n18200,2022/01/22,I ate sandwich for dinner.,I ate sandwich for dinner.\n18201,2022/01/22,\"I talked to Layla, Kinsley for 40 minutes in the early evening.\",\"I talked to Layla, Kinsley for 40 minutes in the early evening.\"\n18202,2022/01/23,I ate sandwich for lunch.,I ate sandwich for lunch.\n18203,2022/01/23,I spent 18 minutes reading social media today.,I spent 18 minutes reading social media today.\n18204,2022/01/24,I went on a date with Nathan on 2022/01/24 at a coffee Shop,I went on a date with Nathan on 2022/01/24 at a coffee Shop\n18205,2022/01/24,\"I bought some pineapples, orange juice, toothpaste, paper towel, shaving cream online.\",\"I bought some pineapples, orange juice, toothpaste, paper towel, shaving cream online.\"\n18206,2022/01/24,I did swimming on 2022/01/24.,I did swimming on 2022/01/24.\n18207,2022/01/24,\"I had pasta for lunch with Hazel, Nora, Piper\",\"I had pasta for lunch with Hazel, Nora, Piper\"\n18208,2022/01/24,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n18209,2022/01/25,I spent some time working out on 2022/01/25.,I spent some time working out on 2022/01/25.\n18210,2022/01/25,I did HIIT on 2022/01/25.,I did HIIT on 2022/01/25.\n18211,2022/01/25,I ate a burger for dinner.,I ate a burger for dinner.\n18212,2022/01/25,I watched a documentary for 17 minutes on TV today.,I watched a documentary for 17 minutes on TV today.\n18213,2022/01/26,I did HIIT on 2022/01/26.,I did HIIT on 2022/01/26.\n18214,2022/01/26,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n18215,2022/01/26,\"I had steak for lunch with Carter, Kayden\",\"I had steak for lunch with Carter, Kayden\"\n18216,2022/01/26,I spent 24 minutes reading a book today.,I spent 24 minutes reading a book today.\n18217,2022/01/27,\"I bought some oranges, watermelons, sports drinks, pineapple juice, shaving cream, mouthwash online.\",\"I bought some oranges, watermelons, sports drinks, pineapple juice, shaving cream, mouthwash online.\"\n18218,2022/01/27,\"I had pasta for dinner with Layla, Claire, Nevaeh, Eva, Lydia, Piper, Olivia, Kinsley, Rylee\",\"I had pasta for dinner with Layla, Claire, Nevaeh, Eva, Lydia, Piper, Olivia, Kinsley, Rylee\"\n18219,2022/01/27,\"I talked to Claire, Nora, Piper for 14 minutes in the morning.\",\"I talked to Claire, Nora, Piper for 14 minutes in the morning.\"\n18220,2022/01/27,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n18221,2022/01/28,I prepare tacos for lunch.,I prepare tacos for lunch.\n18222,2022/01/28,I prepare pasta for dinner.,I prepare pasta for dinner.\n18223,2022/01/28,\"I spent 48 talking to Lydia, Nora, Eva on various topics in the early afternoon.\",\"I spent 48 talking to Lydia, Nora, Eva on various topics in the early afternoon.\"\n18224,2022/01/29,I did HIIT on 2022/01/29.,I did HIIT on 2022/01/29.\n18225,2022/01/29,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n18226,2022/01/29,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n18227,2022/01/30,I did biking on 2022/01/30.,I did biking on 2022/01/30.\n18228,2022/01/30,I ate a burger for dinner.,I ate a burger for dinner.\n18229,2022/01/31,I really enjoyed meditation on 2022/01/31,I really enjoyed meditation on 2022/01/31\n18230,2022/01/31,I did swimming on 2022/01/31.,I did swimming on 2022/01/31.\n18231,2022/01/31,\"I had breakfast with Piper, Nora, Piper, Eva, Olivia, Lydia, Avery, Rylee, Nevaeh, Claire, Layla, Hazel, Kinsley. I ate eggs, sausages, and bread.\",\"I had breakfast with Piper, Nora, Piper, Eva, Olivia, Lydia, Avery, Rylee, Nevaeh, Claire, Layla, Hazel, Kinsley. I ate eggs, sausages, and bread.\"\n18232,2022/01/31,\"I had lunch with Andrew, Emily. I ate chinese food.\",\"I had lunch with Andrew, Emily. I ate chinese food.\"\n18233,2022/01/31,I watched a movie for 22 minutes on TV today.,I watched a movie for 22 minutes on TV today.\n18234,2022/02/01,\"I had eggs, sausages, and bread for breakfast with Emily, Kayden, Carter, Andrew\",\"I had eggs, sausages, and bread for breakfast with Emily, Kayden, Carter, Andrew\"\n18235,2022/02/01,I talked to Eva for 47 minutes during lunch hours.,I talked to Eva for 47 minutes during lunch hours.\n18236,2022/02/01,I spent 49 minutes on a book today.,I spent 49 minutes on a book today.\n18237,2022/02/01,I watched a documentary for 16 minutes on TV today.,I watched a documentary for 16 minutes on TV today.\n18238,2022/02/02,I did weight lifting on 2022/02/02.,I did weight lifting on 2022/02/02.\n18239,2022/02/02,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n18240,2022/02/02,\"I talked to Nevaeh, Eva for 36 minutes in the morning.\",\"I talked to Nevaeh, Eva for 36 minutes in the morning.\"\n18241,2022/02/02,\"I spent 48 talking to Lydia, Piper on various topics during lunch hours.\",\"I spent 48 talking to Lydia, Piper on various topics during lunch hours.\"\n18242,2022/02/02,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n18243,2022/02/02,I watched a tv series for 32 minutes on TV today.,I watched a tv series for 32 minutes on TV today.\n18244,2022/02/03,I prepare peanut-butter-jam for breakfast.,I prepare peanut-butter-jam for breakfast.\n18245,2022/02/03,I ate tacos for lunch.,I ate tacos for lunch.\n18246,2022/02/03,I spent 22 talking to Eva on various topics in the late afternoon.,I spent 22 talking to Eva on various topics in the late afternoon.\n18247,2022/02/03,I spent 38 minutes reading news today.,I spent 38 minutes reading news today.\n18248,2022/02/03,I watched news for 34 minutes on TV today.,I watched news for 34 minutes on TV today.\n18249,2022/02/04,I did hiking on 2022/02/04.,I did hiking on 2022/02/04.\n18250,2022/02/04,I ate chinese food for dinner.,I ate chinese food for dinner.\n18251,2022/02/04,I spent 25 minutes watching a movie on TV today.,I spent 25 minutes watching a movie on TV today.\n18252,2022/02/05,I did hiking on 2022/02/05.,I did hiking on 2022/02/05.\n18253,2022/02/05,\"I had eggs, sausages, and bread for breakfast with Avery, Layla, Hazel, Piper, Nevaeh, Kinsley, Piper, Rylee, Lydia, Claire, Olivia\",\"I had eggs, sausages, and bread for breakfast with Avery, Layla, Hazel, Piper, Nevaeh, Kinsley, Piper, Rylee, Lydia, Claire, Olivia\"\n18254,2022/02/05,I had lunch with Jackson. I ate sushi.,I had lunch with Jackson. I ate sushi.\n18255,2022/02/05,\"I had fish and chips for dinner with Rylee, Olivia, Claire, Nevaeh, Lydia, Piper, Piper, Eva, Nora, Avery, Kinsley, Layla, Hazel\",\"I had fish and chips for dinner with Rylee, Olivia, Claire, Nevaeh, Lydia, Piper, Piper, Eva, Nora, Avery, Kinsley, Layla, Hazel\"\n18256,2022/02/05,I talked to Lydia for 13 minutes in the early evening.,I talked to Lydia for 13 minutes in the early evening.\n18257,2022/02/05,I spent 7 minutes reading news today.,I spent 7 minutes reading news today.\n18258,2022/02/06,I did biking on 2022/02/06.,I did biking on 2022/02/06.\n18259,2022/02/06,I talked to Olivia for 32 minutes late in the evening.,I talked to Olivia for 32 minutes late in the evening.\n18260,2022/02/06,I spent 46 minutes reading news today.,I spent 46 minutes reading news today.\n18261,2022/02/06,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n18262,2022/02/07,\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden. I ate eggs, sausages, and bread.\"\n18263,2022/02/07,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n18264,2022/02/08,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n18265,2022/02/08,\"I talked to Avery, Nevaeh, Rylee for 21 minutes in the early afternoon.\",\"I talked to Avery, Nevaeh, Rylee for 21 minutes in the early afternoon.\"\n18266,2022/02/08,\"I talked to Rylee, Hazel, Piper, Piper for 38 minutes late in the evening.\",\"I talked to Rylee, Hazel, Piper, Piper for 38 minutes late in the evening.\"\n18267,2022/02/09,I ate steak for lunch.,I ate steak for lunch.\n18268,2022/02/09,\"I spent 7 talking to Avery, Hazel, Piper, Claire on various topics late in the evening.\",\"I spent 7 talking to Avery, Hazel, Piper, Claire on various topics late in the evening.\"\n18269,2022/02/10,I did HIIT on 2022/02/10.,I did HIIT on 2022/02/10.\n18270,2022/02/10,\"I had steak for dinner with Carter, Andrew, Kayden\",\"I had steak for dinner with Carter, Andrew, Kayden\"\n18271,2022/02/10,I watched a movie for 19 minutes on TV today.,I watched a movie for 19 minutes on TV today.\n18272,2022/02/11,I did weight lifting on 2022/02/11.,I did weight lifting on 2022/02/11.\n18273,2022/02/11,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n18274,2022/02/11,\"I talked to Eva, Rylee, Hazel, Layla for 31 minutes in the early afternoon.\",\"I talked to Eva, Rylee, Hazel, Layla for 31 minutes in the early afternoon.\"\n18275,2022/02/12,I did weight lifting on 2022/02/12.,I did weight lifting on 2022/02/12.\n18276,2022/02/12,I had dinner with Piper. I ate fish and chips.,I had dinner with Piper. I ate fish and chips.\n18277,2022/02/13,I did biking on 2022/02/13.,I did biking on 2022/02/13.\n18278,2022/02/13,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n18279,2022/02/14,I did weight lifting on 2022/02/14.,I did weight lifting on 2022/02/14.\n18280,2022/02/14,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n18281,2022/02/14,I talked to Nevaeh for 8 minutes in the early afternoon.,I talked to Nevaeh for 8 minutes in the early afternoon.\n18282,2022/02/14,I spent 21 minutes on a book today.,I spent 21 minutes on a book today.\n18283,2022/02/15,\"I spent time gardening on 2022/02/15 with Layla, Avery, Piper.\",\"I spent time gardening on 2022/02/15 with Layla, Avery, Piper.\"\n18284,2022/02/15,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n18285,2022/02/15,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n18286,2022/02/16,I did biking on 2022/02/16.,I did biking on 2022/02/16.\n18287,2022/02/16,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n18288,2022/02/16,\"I had dinner with Eva, Hazel, Piper, Kinsley, Nora, Layla, Nevaeh, Claire, Lydia, Rylee, Avery, Olivia, Piper. I ate indian food.\",\"I had dinner with Eva, Hazel, Piper, Kinsley, Nora, Layla, Nevaeh, Claire, Lydia, Rylee, Avery, Olivia, Piper. I ate indian food.\"\n18289,2022/02/17,\"I had sushi for dinner with Emily, Kayden, Andrew, Carter\",\"I had sushi for dinner with Emily, Kayden, Andrew, Carter\"\n18290,2022/02/17,I spent 24 talking to Avery on various topics in the morning.,I spent 24 talking to Avery on various topics in the morning.\n18291,2022/02/17,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n18292,2022/02/18,I took my parents for their for an annual dental cleaning and checkup on 2022/02/18 at the private clinic.,I took my parents for their for an annual dental cleaning and checkup on 2022/02/18 at the private clinic.\n18293,2022/02/18,I ate chinese food for lunch.,I ate chinese food for lunch.\n18294,2022/02/18,I spent 15 minutes reading news today.,I spent 15 minutes reading news today.\n18295,2022/02/18,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n18296,2022/02/19,\"I spent time working out on 2022/02/19 with Benjamin, Jackson.\",\"I spent time working out on 2022/02/19 with Benjamin, Jackson.\"\n18297,2022/02/19,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n18298,2022/02/19,\"I talked to Nora, Claire for 24 minutes in the early evening.\",\"I talked to Nora, Claire for 24 minutes in the early evening.\"\n18299,2022/02/19,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n18300,2022/02/19,I watched a documentary for 36 minutes on TV today.,I watched a documentary for 36 minutes on TV today.\n18301,2022/02/20,\"I went grocery shopping with Carter, Andrew, Emily, Kayden. I bought some pineapples, watermelons, cherres, pears, orange juice, apple juice, and mouthwash, facial wash, conditioner, shampoo\",\"I went grocery shopping with Carter, Andrew, Emily, Kayden. I bought some pineapples, watermelons, cherres, pears, orange juice, apple juice, and mouthwash, facial wash, conditioner, shampoo\"\n18302,2022/02/20,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n18303,2022/02/20,\"I had sandwich for lunch with Nevaeh, Eva, Avery, Lydia, Rylee, Kinsley, Piper, Olivia\",\"I had sandwich for lunch with Nevaeh, Eva, Avery, Lydia, Rylee, Kinsley, Piper, Olivia\"\n18304,2022/02/20,\"I talked to Avery, Nevaeh, Eva for 15 minutes during lunch hours.\",\"I talked to Avery, Nevaeh, Eva for 15 minutes during lunch hours.\"\n18305,2022/02/20,I spent 9 minutes on news today.,I spent 9 minutes on news today.\n18306,2022/02/21,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n18307,2022/02/21,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n18308,2022/02/21,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n18309,2022/02/22,\"I had toast and cheese for breakfast with Kayden, Carter\",\"I had toast and cheese for breakfast with Kayden, Carter\"\n18310,2022/02/22,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n18311,2022/02/22,\"I talked to Olivia, Kinsley for 27 minutes in the early evening.\",\"I talked to Olivia, Kinsley for 27 minutes in the early evening.\"\n18312,2022/02/22,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n18313,2022/02/22,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n18314,2022/02/23,I did running on 2022/02/23.,I did running on 2022/02/23.\n18315,2022/02/23,\"I had breakfast with Jackson, Avery, Willow. I ate pancakes.\",\"I had breakfast with Jackson, Avery, Willow. I ate pancakes.\"\n18316,2022/02/23,\"I had chinese food for dinner with Kinsley, Lydia, Olivia, Rylee, Nevaeh, Piper\",\"I had chinese food for dinner with Kinsley, Lydia, Olivia, Rylee, Nevaeh, Piper\"\n18317,2022/02/23,\"I spent 43 talking to Rylee, Piper, Eva on various topics in the late afternoon.\",\"I spent 43 talking to Rylee, Piper, Eva on various topics in the late afternoon.\"\n18318,2022/02/23,I watched a movie for 44 minutes on TV today.,I watched a movie for 44 minutes on TV today.\n18319,2022/02/24,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n18320,2022/02/24,I prepare sushi for dinner.,I prepare sushi for dinner.\n18321,2022/02/24,\"I spent 49 talking to Olivia, Hazel, Lydia on various topics in the late afternoon.\",\"I spent 49 talking to Olivia, Hazel, Lydia on various topics in the late afternoon.\"\n18322,2022/02/24,I spent 51 minutes on a book today.,I spent 51 minutes on a book today.\n18323,2022/02/24,I watched a tv series for 45 minutes on TV today.,I watched a tv series for 45 minutes on TV today.\n18324,2022/02/25,\"I spent time meditation on 2022/02/25 with Benjamin, Jackson.\",\"I spent time meditation on 2022/02/25 with Benjamin, Jackson.\"\n18325,2022/02/25,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n18326,2022/02/25,\"I had chinese food for lunch with Emily, Carter, Andrew\",\"I had chinese food for lunch with Emily, Carter, Andrew\"\n18327,2022/02/25,\"I had dinner with Piper, Nevaeh, Claire, Eva, Piper, Nora, Hazel, Rylee, Lydia, Avery. I ate tacos.\",\"I had dinner with Piper, Nevaeh, Claire, Eva, Piper, Nora, Hazel, Rylee, Lydia, Avery. I ate tacos.\"\n18328,2022/02/25,\"I spent 24 talking to Hazel, Piper, Olivia, Avery on various topics in the late afternoon.\",\"I spent 24 talking to Hazel, Piper, Olivia, Avery on various topics in the late afternoon.\"\n18329,2022/02/26,I did biking on 2022/02/26.,I did biking on 2022/02/26.\n18330,2022/02/26,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n18331,2022/02/26,I ate sandwich for lunch.,I ate sandwich for lunch.\n18332,2022/02/26,I talked to Eva for 16 minutes late in the evening.,I talked to Eva for 16 minutes late in the evening.\n18333,2022/02/26,I spent 45 minutes watching news on TV today.,I spent 45 minutes watching news on TV today.\n18334,2022/02/27,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n18335,2022/02/27,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n18336,2022/02/28,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n18337,2022/02/28,\"I spent 27 talking to Piper, Hazel on various topics in the late afternoon.\",\"I spent 27 talking to Piper, Hazel on various topics in the late afternoon.\"\n18338,2022/03/01,\"I went grocery shopping with Piper, Hazel. I bought some bananas, raspberries, mangos, guava, mineral water, coffee, soda, sports drinks, and facial wash, mouthwash, toilet paper, body lotion\",\"I went grocery shopping with Piper, Hazel. I bought some bananas, raspberries, mangos, guava, mineral water, coffee, soda, sports drinks, and facial wash, mouthwash, toilet paper, body lotion\"\n18339,2022/03/01,I did HIIT on 2022/03/01.,I did HIIT on 2022/03/01.\n18340,2022/03/01,\"I spent 41 talking to Hazel, Olivia, Claire on various topics in the early evening.\",\"I spent 41 talking to Hazel, Olivia, Claire on various topics in the early evening.\"\n18341,2022/03/01,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n18342,2022/03/02,I did hiking on 2022/03/02.,I did hiking on 2022/03/02.\n18343,2022/03/02,I prepare steak for dinner.,I prepare steak for dinner.\n18344,2022/03/02,\"I spent 46 talking to Layla, Avery on various topics in the early evening.\",\"I spent 46 talking to Layla, Avery on various topics in the early evening.\"\n18345,2022/03/02,I spent 21 minutes reading news today.,I spent 21 minutes reading news today.\n18346,2022/03/03,I spent some time meditation on 2022/03/03.,I spent some time meditation on 2022/03/03.\n18347,2022/03/03,I ate indian food for lunch.,I ate indian food for lunch.\n18348,2022/03/03,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n18349,2022/03/03,I spent 52 minutes reading a book today.,I spent 52 minutes reading a book today.\n18350,2022/03/04,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n18351,2022/03/04,\"I had a burger for lunch with Layla, Hazel, Avery, Nora, Piper\",\"I had a burger for lunch with Layla, Hazel, Avery, Nora, Piper\"\n18352,2022/03/04,I prepare sandwich for dinner.,I prepare sandwich for dinner.\n18353,2022/03/04,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n18354,2022/03/04,I spent 48 minutes watching a tv series on TV today.,I spent 48 minutes watching a tv series on TV today.\n18355,2022/03/05,I did biking on 2022/03/05.,I did biking on 2022/03/05.\n18356,2022/03/05,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n18357,2022/03/05,I prepare sushi for dinner.,I prepare sushi for dinner.\n18358,2022/03/05,\"I spent 36 talking to Lydia, Avery on various topics in the early afternoon.\",\"I spent 36 talking to Lydia, Avery on various topics in the early afternoon.\"\n18359,2022/03/05,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n18360,2022/03/05,I watched news for 29 minutes on TV today.,I watched news for 29 minutes on TV today.\n18361,2022/03/06,I did weight lifting on 2022/03/06.,I did weight lifting on 2022/03/06.\n18362,2022/03/06,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n18363,2022/03/06,I spent 30 minutes reading social media today.,I spent 30 minutes reading social media today.\n18364,2022/03/06,I spent 19 minutes watching news on TV today.,I spent 19 minutes watching news on TV today.\n18365,2022/03/07,I did HIIT on 2022/03/07.,I did HIIT on 2022/03/07.\n18366,2022/03/07,\"I had steak for dinner with Emily, Andrew, Carter\",\"I had steak for dinner with Emily, Andrew, Carter\"\n18367,2022/03/07,\"I talked to Nevaeh, Layla, Eva, Kinsley for 34 minutes in the early evening.\",\"I talked to Nevaeh, Layla, Eva, Kinsley for 34 minutes in the early evening.\"\n18368,2022/03/07,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n18369,2022/03/07,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n18370,2022/03/08,\"On 2022/03/08, I took Xavier on a date to a coffee Shop\",\"On 2022/03/08, I took Xavier on a date to a coffee Shop\"\n18371,2022/03/08,I did hiking on 2022/03/08.,I did hiking on 2022/03/08.\n18372,2022/03/08,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n18373,2022/03/09,I ate toast and cheese for breakfast.,I ate toast and cheese for breakfast.\n18374,2022/03/09,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n18375,2022/03/09,I watched a documentary for 47 minutes on TV today.,I watched a documentary for 47 minutes on TV today.\n18376,2022/03/10,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n18377,2022/03/10,I prepare sandwich for lunch.,I prepare sandwich for lunch.\n18378,2022/03/10,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n18379,2022/03/10,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n18380,2022/03/10,I spent 44 minutes watching a tv series on TV today.,I spent 44 minutes watching a tv series on TV today.\n18381,2022/03/11,I took Emily for his/her  for an annual physical checkup on 2022/03/11 at the hospital.,I took Emily for his/her  for an annual physical checkup on 2022/03/11 at the hospital.\n18382,2022/03/11,\"I went grocery shopping with Jackson, Avery, Benjamin, Willow. I bought some apricots, milk, sports drinks, and shampoo\",\"I went grocery shopping with Jackson, Avery, Benjamin, Willow. I bought some apricots, milk, sports drinks, and shampoo\"\n18383,2022/03/11,\"I spent 50 talking to Lydia, Olivia, Hazel, Kinsley on various topics in the early afternoon.\",\"I spent 50 talking to Lydia, Olivia, Hazel, Kinsley on various topics in the early afternoon.\"\n18384,2022/03/11,I spent 55 minutes on a book today.,I spent 55 minutes on a book today.\n18385,2022/03/12,I did swimming on 2022/03/12.,I did swimming on 2022/03/12.\n18386,2022/03/12,I ate a burger for dinner.,I ate a burger for dinner.\n18387,2022/03/12,\"I spent 35 talking to Piper, Lydia, Eva on various topics late in the evening.\",\"I spent 35 talking to Piper, Lydia, Eva on various topics late in the evening.\"\n18388,2022/03/12,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n18389,2022/03/13,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n18390,2022/03/13,\"I talked to Claire, Piper, Rylee for 33 minutes in the early evening.\",\"I talked to Claire, Piper, Rylee for 33 minutes in the early evening.\"\n18391,2022/03/13,I spent 43 minutes reading social media today.,I spent 43 minutes reading social media today.\n18392,2022/03/13,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n18393,2022/03/14,I did weight lifting on 2022/03/14.,I did weight lifting on 2022/03/14.\n18394,2022/03/14,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n18395,2022/03/14,\"I talked to Lydia, Nora, Layla for 18 minutes in the early afternoon.\",\"I talked to Lydia, Nora, Layla for 18 minutes in the early afternoon.\"\n18396,2022/03/15,\"I had lunch with Avery, Jackson, Willow. I ate fish and chips.\",\"I had lunch with Avery, Jackson, Willow. I ate fish and chips.\"\n18397,2022/03/15,\"I talked to Layla, Piper, Claire for 10 minutes in the early evening.\",\"I talked to Layla, Piper, Claire for 10 minutes in the early evening.\"\n18398,2022/03/15,I spent 44 minutes reading social media today.,I spent 44 minutes reading social media today.\n18399,2022/03/16,I did swimming on 2022/03/16.,I did swimming on 2022/03/16.\n18400,2022/03/16,\"I spent 18 talking to Piper, Eva, Piper, Claire on various topics in the early evening.\",\"I spent 18 talking to Piper, Eva, Piper, Claire on various topics in the early evening.\"\n18401,2022/03/17,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n18402,2022/03/17,\"I spent 45 talking to Lydia, Olivia, Avery, Nevaeh on various topics in the morning.\",\"I spent 45 talking to Lydia, Olivia, Avery, Nevaeh on various topics in the morning.\"\n18403,2022/03/17,I spent 6 minutes on a book today.,I spent 6 minutes on a book today.\n18404,2022/03/18,\"I had breakfast with Layla, Eva, Nora. I ate toast and cheese.\",\"I had breakfast with Layla, Eva, Nora. I ate toast and cheese.\"\n18405,2022/03/18,\"I had lunch with Benjamin, Jackson. I ate sandwich.\",\"I had lunch with Benjamin, Jackson. I ate sandwich.\"\n18406,2022/03/18,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n18407,2022/03/18,I spent 38 minutes watching a documentary on TV today.,I spent 38 minutes watching a documentary on TV today.\n18408,2022/03/19,I did swimming on 2022/03/19.,I did swimming on 2022/03/19.\n18409,2022/03/19,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n18410,2022/03/19,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n18411,2022/03/20,I ate tacos for dinner.,I ate tacos for dinner.\n18412,2022/03/20,\"I spent 7 talking to Claire, Nevaeh, Eva, Layla on various topics in the early afternoon.\",\"I spent 7 talking to Claire, Nevaeh, Eva, Layla on various topics in the early afternoon.\"\n18413,2022/03/21,I did hiking on 2022/03/21.,I did hiking on 2022/03/21.\n18414,2022/03/21,I talked to Layla for 43 minutes in the early afternoon.,I talked to Layla for 43 minutes in the early afternoon.\n18415,2022/03/21,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n18416,2022/03/22,I did swimming on 2022/03/22.,I did swimming on 2022/03/22.\n18417,2022/03/22,\"I had pasta for lunch with Piper, Olivia, Piper, Nora, Kinsley, Eva, Nevaeh, Rylee\",\"I had pasta for lunch with Piper, Olivia, Piper, Nora, Kinsley, Eva, Nevaeh, Rylee\"\n18418,2022/03/22,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n18419,2022/03/22,\"I talked to Layla, Piper, Lydia for 23 minutes in the early evening.\",\"I talked to Layla, Piper, Lydia for 23 minutes in the early evening.\"\n18420,2022/03/22,I watched news for 35 minutes on TV today.,I watched news for 35 minutes on TV today.\n18421,2022/03/23,I did biking on 2022/03/23.,I did biking on 2022/03/23.\n18422,2022/03/23,I had sandwich for lunch with Nevaeh,I had sandwich for lunch with Nevaeh\n18423,2022/03/23,\"I had steak for dinner with Emily, Kayden, Andrew\",\"I had steak for dinner with Emily, Kayden, Andrew\"\n18424,2022/03/23,I spent 38 minutes reading a book today.,I spent 38 minutes reading a book today.\n18425,2022/03/24,\"I bought some apricots, soda, sports drinks, milk, conditioner from the grocery store. I saw Jackson, Benjamin, Willow, Avery at the grocery store.\",\"I bought some apricots, soda, sports drinks, milk, conditioner from the grocery store. I saw Jackson, Benjamin, Willow, Avery at the grocery store.\"\n18426,2022/03/24,I spent 46 minutes watching a movie on TV today.,I spent 46 minutes watching a movie on TV today.\n18427,2022/03/25,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n18428,2022/03/25,I ate steak for lunch.,I ate steak for lunch.\n18429,2022/03/25,I spent 10 minutes on a book today.,I spent 10 minutes on a book today.\n18430,2022/03/26,\"I went grocery shopping with Carter. I bought some bananas, peaches, mandarins, cherres, pineapple juice, and mouthwash\",\"I went grocery shopping with Carter. I bought some bananas, peaches, mandarins, cherres, pineapple juice, and mouthwash\"\n18431,2022/03/26,I did biking on 2022/03/26.,I did biking on 2022/03/26.\n18432,2022/03/26,\"I talked to Olivia, Piper, Nora, Rylee for 24 minutes in the late afternoon.\",\"I talked to Olivia, Piper, Nora, Rylee for 24 minutes in the late afternoon.\"\n18433,2022/03/26,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n18434,2022/03/27,I did weight lifting on 2022/03/27.,I did weight lifting on 2022/03/27.\n18435,2022/03/27,\"I had breakfast with Lydia, Avery. I ate toast and cheese.\",\"I had breakfast with Lydia, Avery. I ate toast and cheese.\"\n18436,2022/03/27,I spent 36 minutes watching a movie on TV today.,I spent 36 minutes watching a movie on TV today.\n18437,2022/03/28,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n18438,2022/03/28,I prepare sushi for lunch.,I prepare sushi for lunch.\n18439,2022/03/28,\"I had dinner with Eva, Lydia, Rylee, Hazel, Nora, Kinsley, Piper, Layla, Avery. I ate chinese food.\",\"I had dinner with Eva, Lydia, Rylee, Hazel, Nora, Kinsley, Piper, Layla, Avery. I ate chinese food.\"\n18440,2022/03/28,\"I spent 28 talking to Nora, Layla, Lydia, Claire on various topics in the early afternoon.\",\"I spent 28 talking to Nora, Layla, Lydia, Claire on various topics in the early afternoon.\"\n18441,2022/03/28,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n18442,2022/03/29,I went on a date with Brooklyn on 2022/03/29 at a restaurant,I went on a date with Brooklyn on 2022/03/29 at a restaurant\n18443,2022/03/29,\"I bought some mandarins, blackberries, apples, mineral water, guava juice, conditioner online.\",\"I bought some mandarins, blackberries, apples, mineral water, guava juice, conditioner online.\"\n18444,2022/03/29,I did hiking on 2022/03/29.,I did hiking on 2022/03/29.\n18445,2022/03/29,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n18446,2022/03/29,I prepare indian food for dinner.,I prepare indian food for dinner.\n18447,2022/03/29,I talked to Eva for 43 minutes in the late afternoon.,I talked to Eva for 43 minutes in the late afternoon.\n18448,2022/03/29,I spent 39 minutes on a book today.,I spent 39 minutes on a book today.\n18449,2022/03/29,I watched a documentary for 32 minutes on TV today.,I watched a documentary for 32 minutes on TV today.\n18450,2022/03/30,I did biking on 2022/03/30.,I did biking on 2022/03/30.\n18451,2022/03/30,\"I talked to Claire, Avery for 7 minutes in the early evening.\",\"I talked to Claire, Avery for 7 minutes in the early evening.\"\n18452,2022/03/30,I watched news for 24 minutes on TV today.,I watched news for 24 minutes on TV today.\n18453,2022/03/31,I did swimming on 2022/03/31.,I did swimming on 2022/03/31.\n18454,2022/03/31,I ate chinese food for lunch.,I ate chinese food for lunch.\n18455,2022/03/31,I prepare pasta for dinner.,I prepare pasta for dinner.\n18456,2022/03/31,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n18457,2022/04/01,I did weight lifting on 2022/04/01.,I did weight lifting on 2022/04/01.\n18458,2022/04/01,I watched a documentary for 31 minutes on TV today.,I watched a documentary for 31 minutes on TV today.\n18459,2022/04/02,I really enjoyed learning a language on 2022/04/02,I really enjoyed learning a language on 2022/04/02\n18460,2022/04/02,I did hiking on 2022/04/02.,I did hiking on 2022/04/02.\n18461,2022/04/02,I had cereals for breakfast with Andrew,I had cereals for breakfast with Andrew\n18462,2022/04/02,\"I had lunch with Hazel, Nora, Piper, Avery, Claire, Olivia, Nevaeh, Kinsley, Layla, Lydia. I ate indian food.\",\"I had lunch with Hazel, Nora, Piper, Avery, Claire, Olivia, Nevaeh, Kinsley, Layla, Lydia. I ate indian food.\"\n18463,2022/04/02,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n18464,2022/04/02,\"I spent 27 talking to Olivia, Hazel, Layla, Kinsley on various topics late in the evening.\",\"I spent 27 talking to Olivia, Hazel, Layla, Kinsley on various topics late in the evening.\"\n18465,2022/04/02,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n18466,2022/04/03,I went on a date with Scarlett on 2022/04/03 at a restaurant,I went on a date with Scarlett on 2022/04/03 at a restaurant\n18467,2022/04/03,\"I went grocery shopping with Carter, Andrew. I bought some pineapples, guava juice, milk, orange juice, sports drinks, and toilet paper, shampoo\",\"I went grocery shopping with Carter, Andrew. I bought some pineapples, guava juice, milk, orange juice, sports drinks, and toilet paper, shampoo\"\n18468,2022/04/03,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n18469,2022/04/03,\"I talked to Piper, Hazel, Kinsley for 9 minutes in the early evening.\",\"I talked to Piper, Hazel, Kinsley for 9 minutes in the early evening.\"\n18470,2022/04/03,\"I talked to Lydia, Hazel, Nora, Layla for 53 minutes in the early evening.\",\"I talked to Lydia, Hazel, Nora, Layla for 53 minutes in the early evening.\"\n18471,2022/04/03,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n18472,2022/04/03,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n18473,2022/04/04,\"I had breakfast with Carter, Emily, Kayden, Andrew. I ate peanut-butter-jam.\",\"I had breakfast with Carter, Emily, Kayden, Andrew. I ate peanut-butter-jam.\"\n18474,2022/04/04,\"I spent 32 talking to Nora, Hazel on various topics during lunch hours.\",\"I spent 32 talking to Nora, Hazel on various topics during lunch hours.\"\n18475,2022/04/04,I spent 30 minutes reading a book today.,I spent 30 minutes reading a book today.\n18476,2022/04/05,\"I bought some apricots, mangos, peaches, pineapple juice, mineral water, orange juice, guava juice, mouthwash online.\",\"I bought some apricots, mangos, peaches, pineapple juice, mineral water, orange juice, guava juice, mouthwash online.\"\n18477,2022/04/05,I did HIIT on 2022/04/05.,I did HIIT on 2022/04/05.\n18478,2022/04/05,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n18479,2022/04/05,I ate a burger for lunch.,I ate a burger for lunch.\n18480,2022/04/05,I prepare sushi for dinner.,I prepare sushi for dinner.\n18481,2022/04/05,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n18482,2022/04/05,I watched a documentary for 37 minutes on TV today.,I watched a documentary for 37 minutes on TV today.\n18483,2022/04/06,I spent 29 minutes on a book today.,I spent 29 minutes on a book today.\n18484,2022/04/06,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n18485,2022/04/07,\"I talked to Rylee, Avery for 39 minutes in the early evening.\",\"I talked to Rylee, Avery for 39 minutes in the early evening.\"\n18486,2022/04/07,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n18487,2022/04/08,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n18488,2022/04/08,\"I talked to Layla, Olivia for 34 minutes in the late afternoon.\",\"I talked to Layla, Olivia for 34 minutes in the late afternoon.\"\n18489,2022/04/08,I spent 38 minutes on a book today.,I spent 38 minutes on a book today.\n18490,2022/04/09,I did HIIT on 2022/04/09.,I did HIIT on 2022/04/09.\n18491,2022/04/09,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n18492,2022/04/09,I spent 23 talking to Nevaeh on various topics during lunch hours.,I spent 23 talking to Nevaeh on various topics during lunch hours.\n18493,2022/04/09,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n18494,2022/04/10,\"I had sushi for dinner with Emily, Andrew\",\"I had sushi for dinner with Emily, Andrew\"\n18495,2022/04/10,\"I spent 50 talking to Nora, Piper, Claire, Eva on various topics in the late afternoon.\",\"I spent 50 talking to Nora, Piper, Claire, Eva on various topics in the late afternoon.\"\n18496,2022/04/10,I spent 18 minutes reading a book today.,I spent 18 minutes reading a book today.\n18497,2022/04/10,I watched news for 38 minutes on TV today.,I watched news for 38 minutes on TV today.\n18498,2022/04/11,I did HIIT on 2022/04/11.,I did HIIT on 2022/04/11.\n18499,2022/04/11,\"I had dinner with Kayden, Carter. I ate tacos.\",\"I had dinner with Kayden, Carter. I ate tacos.\"\n18500,2022/04/11,I spent 16 minutes reading social media today.,I spent 16 minutes reading social media today.\n18501,2022/04/11,I watched a documentary for 44 minutes on TV today.,I watched a documentary for 44 minutes on TV today.\n18502,2022/04/12,I really enjoyed gardening on 2022/04/12,I really enjoyed gardening on 2022/04/12\n18503,2022/04/12,\"I had lunch with Andrew, Kayden. I ate indian food.\",\"I had lunch with Andrew, Kayden. I ate indian food.\"\n18504,2022/04/12,\"I talked to Kinsley, Piper, Nevaeh for 52 minutes in the early afternoon.\",\"I talked to Kinsley, Piper, Nevaeh for 52 minutes in the early afternoon.\"\n18505,2022/04/12,I spent 38 minutes on social media today.,I spent 38 minutes on social media today.\n18506,2022/04/13,\"I had chinese food for lunch with Benjamin, Jackson\",\"I had chinese food for lunch with Benjamin, Jackson\"\n18507,2022/04/13,I spent 54 minutes on a book today.,I spent 54 minutes on a book today.\n18508,2022/04/14,I did HIIT on 2022/04/14.,I did HIIT on 2022/04/14.\n18509,2022/04/14,\"I had sandwich for lunch with Andrew, Carter\",\"I had sandwich for lunch with Andrew, Carter\"\n18510,2022/04/14,\"I spent 35 talking to Hazel, Olivia on various topics during lunch hours.\",\"I spent 35 talking to Hazel, Olivia on various topics during lunch hours.\"\n18511,2022/04/14,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n18512,2022/04/15,I had lunch. I ate steak.,I had lunch. I ate steak.\n18513,2022/04/15,\"I spent 29 talking to Nevaeh, Piper on various topics in the early evening.\",\"I spent 29 talking to Nevaeh, Piper on various topics in the early evening.\"\n18514,2022/04/15,\"I talked to Olivia, Avery, Piper, Layla for 39 minutes in the morning.\",\"I talked to Olivia, Avery, Piper, Layla for 39 minutes in the morning.\"\n18515,2022/04/15,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n18516,2022/04/15,I spent 23 minutes watching a movie on TV today.,I spent 23 minutes watching a movie on TV today.\n18517,2022/04/16,\"I bought some guava, tea, guava juice, orange juice, sports drinks, shaving cream, mouth wash online.\",\"I bought some guava, tea, guava juice, orange juice, sports drinks, shaving cream, mouth wash online.\"\n18518,2022/04/16,I did running on 2022/04/16.,I did running on 2022/04/16.\n18519,2022/04/16,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n18520,2022/04/16,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n18521,2022/04/17,\"I really enjoyed baking homemade toaster pastries, brown sugar-pear puff pastries on 2022/04/17 with Carter, Emily, Andrew, Kayden at my place\",\"I really enjoyed baking homemade toaster pastries, brown sugar-pear puff pastries on 2022/04/17 with Carter, Emily, Andrew, Kayden at my place\"\n18522,2022/04/17,I did HIIT on 2022/04/17.,I did HIIT on 2022/04/17.\n18523,2022/04/17,\"I had toast and cheese for breakfast with Carter, Emily, Kayden, Andrew\",\"I had toast and cheese for breakfast with Carter, Emily, Kayden, Andrew\"\n18524,2022/04/17,I ate a burger for lunch.,I ate a burger for lunch.\n18525,2022/04/17,I watched a movie for 50 minutes on TV today.,I watched a movie for 50 minutes on TV today.\n18526,2022/04/18,I went on a date with Jeremiah on 2022/04/18 at a restaurant,I went on a date with Jeremiah on 2022/04/18 at a restaurant\n18527,2022/04/18,I did hiking on 2022/04/18.,I did hiking on 2022/04/18.\n18528,2022/04/18,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n18529,2022/04/18,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n18530,2022/04/19,\"I went grocery shopping with Andrew, Kayden, Emily. I bought some guava, blueberries, mango juice, sports drinks, soda, orange juice, and toothpaste, shampoo\",\"I went grocery shopping with Andrew, Kayden, Emily. I bought some guava, blueberries, mango juice, sports drinks, soda, orange juice, and toothpaste, shampoo\"\n18531,2022/04/19,I did swimming on 2022/04/19.,I did swimming on 2022/04/19.\n18532,2022/04/19,\"I had toast and cheese for breakfast with Emily, Andrew, Kayden\",\"I had toast and cheese for breakfast with Emily, Andrew, Kayden\"\n18533,2022/04/19,\"I had sandwich for lunch with Rylee, Nevaeh, Eva, Hazel, Nora, Olivia, Kinsley, Piper, Piper\",\"I had sandwich for lunch with Rylee, Nevaeh, Eva, Hazel, Nora, Olivia, Kinsley, Piper, Piper\"\n18534,2022/04/19,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n18535,2022/04/19,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n18536,2022/04/20,I did HIIT on 2022/04/20.,I did HIIT on 2022/04/20.\n18537,2022/04/20,\"I talked to Piper, Avery, Piper for 42 minutes in the early afternoon.\",\"I talked to Piper, Avery, Piper for 42 minutes in the early afternoon.\"\n18538,2022/04/20,I spent 13 minutes on news today.,I spent 13 minutes on news today.\n18539,2022/04/20,I spent 54 minutes watching a movie on TV today.,I spent 54 minutes watching a movie on TV today.\n18540,2022/04/21,I did HIIT on 2022/04/21.,I did HIIT on 2022/04/21.\n18541,2022/04/21,I watched a documentary for 21 minutes on TV today.,I watched a documentary for 21 minutes on TV today.\n18542,2022/04/22,\"I had breakfast with Emily, Kayden. I ate cereals.\",\"I had breakfast with Emily, Kayden. I ate cereals.\"\n18543,2022/04/22,I spent 29 minutes watching news on TV today.,I spent 29 minutes watching news on TV today.\n18544,2022/04/23,I did HIIT on 2022/04/23.,I did HIIT on 2022/04/23.\n18545,2022/04/23,I had oatmeal for breakfast with Emily,I had oatmeal for breakfast with Emily\n18546,2022/04/23,\"I had lunch with Willow, Jackson, Avery. I ate steak.\",\"I had lunch with Willow, Jackson, Avery. I ate steak.\"\n18547,2022/04/23,\"I talked to Olivia, Lydia for 47 minutes in the early afternoon.\",\"I talked to Olivia, Lydia for 47 minutes in the early afternoon.\"\n18548,2022/04/23,I spent 12 minutes reading news today.,I spent 12 minutes reading news today.\n18549,2022/04/23,I spent 9 minutes watching a movie on TV today.,I spent 9 minutes watching a movie on TV today.\n18550,2022/04/24,\"On 2022/04/24, I took Caroline on a date to a park\",\"On 2022/04/24, I took Caroline on a date to a park\"\n18551,2022/04/24,I did HIIT on 2022/04/24.,I did HIIT on 2022/04/24.\n18552,2022/04/24,I talked to Avery for 21 minutes in the morning.,I talked to Avery for 21 minutes in the morning.\n18553,2022/04/24,\"I talked to Claire, Piper, Avery, Piper for 53 minutes during lunch hours.\",\"I talked to Claire, Piper, Avery, Piper for 53 minutes during lunch hours.\"\n18554,2022/04/24,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n18555,2022/04/25,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n18556,2022/04/25,\"I talked to Piper, Nora, Lydia for 26 minutes during lunch hours.\",\"I talked to Piper, Nora, Lydia for 26 minutes during lunch hours.\"\n18557,2022/04/25,\"I talked to Avery, Nevaeh, Piper for 20 minutes during lunch hours.\",\"I talked to Avery, Nevaeh, Piper for 20 minutes during lunch hours.\"\n18558,2022/04/26,I did biking on 2022/04/26.,I did biking on 2022/04/26.\n18559,2022/04/26,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n18560,2022/04/26,I spent 5 minutes on a book today.,I spent 5 minutes on a book today.\n18561,2022/04/27,I spent 18 minutes on a book today.,I spent 18 minutes on a book today.\n18562,2022/04/27,I watched news for 32 minutes on TV today.,I watched news for 32 minutes on TV today.\n18563,2022/04/28,I did hiking on 2022/04/28.,I did hiking on 2022/04/28.\n18564,2022/04/28,\"I had cereals for breakfast with Kayden, Emily\",\"I had cereals for breakfast with Kayden, Emily\"\n18565,2022/04/28,\"I had a burger for dinner with Carter, Andrew\",\"I had a burger for dinner with Carter, Andrew\"\n18566,2022/04/28,I spent 50 talking to Rylee on various topics in the late afternoon.,I spent 50 talking to Rylee on various topics in the late afternoon.\n18567,2022/04/28,I spent 28 minutes on a book today.,I spent 28 minutes on a book today.\n18568,2022/04/28,I watched news for 31 minutes on TV today.,I watched news for 31 minutes on TV today.\n18569,2022/04/29,I ate sandwich for lunch.,I ate sandwich for lunch.\n18570,2022/04/30,\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate toast and cheese.\",\"I had breakfast with Carter, Emily, Andrew, Kayden. I ate toast and cheese.\"\n18571,2022/04/30,I had a burger for lunch with Olivia,I had a burger for lunch with Olivia\n18572,2022/04/30,I talked to Piper for 20 minutes late in the evening.,I talked to Piper for 20 minutes late in the evening.\n18573,2022/04/30,I watched a documentary for 13 minutes on TV today.,I watched a documentary for 13 minutes on TV today.\n18574,2022/05/01,I did biking on 2022/05/01.,I did biking on 2022/05/01.\n18575,2022/05/01,\"I had steak for dinner with Andrew, Emily\",\"I had steak for dinner with Andrew, Emily\"\n18576,2022/05/01,\"I spent 19 talking to Avery, Kinsley, Piper, Hazel on various topics in the early afternoon.\",\"I spent 19 talking to Avery, Kinsley, Piper, Hazel on various topics in the early afternoon.\"\n18577,2022/05/02,\"I went grocery shopping with Avery, Willow, Jackson, Benjamin. I bought some strawberries, coffee, milk, guava juice, mineral water, and shampoo, facial wash, shaving cream, toothbrush\",\"I went grocery shopping with Avery, Willow, Jackson, Benjamin. I bought some strawberries, coffee, milk, guava juice, mineral water, and shampoo, facial wash, shaving cream, toothbrush\"\n18578,2022/05/02,I did weight lifting on 2022/05/02.,I did weight lifting on 2022/05/02.\n18579,2022/05/03,\"I entertained Eva, Kinsley at my place on 2022/05/03 and cook swedish meatball recipe\",\"I entertained Eva, Kinsley at my place on 2022/05/03 and cook swedish meatball recipe\"\n18580,2022/05/03,\"On 2022/05/03, I took Michael on a date to a coffee Shop\",\"On 2022/05/03, I took Michael on a date to a coffee Shop\"\n18581,2022/05/03,I did running on 2022/05/03.,I did running on 2022/05/03.\n18582,2022/05/03,\"I had pancakes for breakfast with Avery, Jackson, Benjamin, Willow\",\"I had pancakes for breakfast with Avery, Jackson, Benjamin, Willow\"\n18583,2022/05/03,\"I talked to Lydia, Piper, Rylee for 27 minutes during lunch hours.\",\"I talked to Lydia, Piper, Rylee for 27 minutes during lunch hours.\"\n18584,2022/05/04,I had breakfast with Emily. I ate toast and cheese.,I had breakfast with Emily. I ate toast and cheese.\n18585,2022/05/04,I had dinner. I ate steak.,I had dinner. I ate steak.\n18586,2022/05/04,\"I spent 15 talking to Avery, Eva on various topics in the morning.\",\"I spent 15 talking to Avery, Eva on various topics in the morning.\"\n18587,2022/05/04,I watched a movie for 18 minutes on TV today.,I watched a movie for 18 minutes on TV today.\n18588,2022/05/05,I ate a burger for lunch.,I ate a burger for lunch.\n18589,2022/05/05,I watched news for 37 minutes on TV today.,I watched news for 37 minutes on TV today.\n18590,2022/05/06,\"I had peanut-butter-jam for breakfast with Andrew, Kayden\",\"I had peanut-butter-jam for breakfast with Andrew, Kayden\"\n18591,2022/05/06,I prepare sushi for lunch.,I prepare sushi for lunch.\n18592,2022/05/06,I ate pasta for dinner.,I ate pasta for dinner.\n18593,2022/05/06,\"I spent 53 talking to Rylee, Olivia on various topics in the morning.\",\"I spent 53 talking to Rylee, Olivia on various topics in the morning.\"\n18594,2022/05/06,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n18595,2022/05/06,I watched a documentary for 42 minutes on TV today.,I watched a documentary for 42 minutes on TV today.\n18596,2022/05/07,\"I had dinner with Lydia, Avery, Layla, Rylee, Kinsley, Olivia. I ate tacos.\",\"I had dinner with Lydia, Avery, Layla, Rylee, Kinsley, Olivia. I ate tacos.\"\n18597,2022/05/07,\"I spent 45 talking to Olivia, Rylee on various topics during lunch hours.\",\"I spent 45 talking to Olivia, Rylee on various topics during lunch hours.\"\n18598,2022/05/07,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n18599,2022/05/08,\"I went grocery shopping. I bought some strawberries, peaches, apple juice, orange juice, guava juice, chocolate milk, and facial wash, toilet paper, shaving cream\",\"I went grocery shopping. I bought some strawberries, peaches, apple juice, orange juice, guava juice, chocolate milk, and facial wash, toilet paper, shaving cream\"\n18600,2022/05/08,\"I had lunch with Andrew, Emily. I ate tacos.\",\"I had lunch with Andrew, Emily. I ate tacos.\"\n18601,2022/05/08,\"I talked to Piper, Lydia for 9 minutes during lunch hours.\",\"I talked to Piper, Lydia for 9 minutes during lunch hours.\"\n18602,2022/05/08,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n18603,2022/05/08,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n18604,2022/05/09,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n18605,2022/05/09,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n18606,2022/05/09,I spent 51 minutes reading news today.,I spent 51 minutes reading news today.\n18607,2022/05/10,I spent some time meditation on 2022/05/10.,I spent some time meditation on 2022/05/10.\n18608,2022/05/10,\"I bought some nectarines, cherres, watermelons, mangos, coffee, guava juice, orange juice, mineral water, conditioner online.\",\"I bought some nectarines, cherres, watermelons, mangos, coffee, guava juice, orange juice, mineral water, conditioner online.\"\n18609,2022/05/10,\"I had breakfast with Benjamin, Willow, Jackson. I ate peanut-butter-jam.\",\"I had breakfast with Benjamin, Willow, Jackson. I ate peanut-butter-jam.\"\n18610,2022/05/10,I prepare steak for lunch.,I prepare steak for lunch.\n18611,2022/05/10,I ate tacos for dinner.,I ate tacos for dinner.\n18612,2022/05/10,I spent 35 minutes watching news on TV today.,I spent 35 minutes watching news on TV today.\n18613,2022/05/11,I ate sushi for lunch.,I ate sushi for lunch.\n18614,2022/05/11,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n18615,2022/05/11,I spent 23 talking to Hazel on various topics in the early afternoon.,I spent 23 talking to Hazel on various topics in the early afternoon.\n18616,2022/05/11,I spent 41 minutes on news today.,I spent 41 minutes on news today.\n18617,2022/05/12,\"On 2022/05/12, I took Sarah on a date to a restaurant\",\"On 2022/05/12, I took Sarah on a date to a restaurant\"\n18618,2022/05/12,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n18619,2022/05/12,I ate indian food for lunch.,I ate indian food for lunch.\n18620,2022/05/12,I prepare tacos for dinner.,I prepare tacos for dinner.\n18621,2022/05/12,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n18622,2022/05/13,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n18623,2022/05/13,I prepare tacos for lunch.,I prepare tacos for lunch.\n18624,2022/05/13,I spent 13 minutes on a book today.,I spent 13 minutes on a book today.\n18625,2022/05/13,I spent 32 minutes watching a tv series on TV today.,I spent 32 minutes watching a tv series on TV today.\n18626,2022/05/14,I did HIIT on 2022/05/14.,I did HIIT on 2022/05/14.\n18627,2022/05/14,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n18628,2022/05/14,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n18629,2022/05/15,I went on a date with Jace on 2022/05/15 at a coffee Shop,I went on a date with Jace on 2022/05/15 at a coffee Shop\n18630,2022/05/15,I ate cereals for breakfast.,I ate cereals for breakfast.\n18631,2022/05/15,\"I had indian food for lunch with Kayden, Carter, Emily\",\"I had indian food for lunch with Kayden, Carter, Emily\"\n18632,2022/05/15,\"I had dinner with Hazel, Claire, Nora, Olivia, Piper, Layla, Rylee, Nevaeh, Piper, Eva, Kinsley, Avery, Lydia. I ate sandwich.\",\"I had dinner with Hazel, Claire, Nora, Olivia, Piper, Layla, Rylee, Nevaeh, Piper, Eva, Kinsley, Avery, Lydia. I ate sandwich.\"\n18633,2022/05/16,I spent some time yoga on 2022/05/16.,I spent some time yoga on 2022/05/16.\n18634,2022/05/16,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n18635,2022/05/16,I spent 44 talking to Nevaeh on various topics in the morning.,I spent 44 talking to Nevaeh on various topics in the morning.\n18636,2022/05/16,\"I talked to Avery, Olivia, Piper for 51 minutes in the morning.\",\"I talked to Avery, Olivia, Piper for 51 minutes in the morning.\"\n18637,2022/05/17,I did hiking on 2022/05/17.,I did hiking on 2022/05/17.\n18638,2022/05/17,I ate cereals for breakfast.,I ate cereals for breakfast.\n18639,2022/05/17,\"I had chinese food for lunch with Jackson, Willow, Avery\",\"I had chinese food for lunch with Jackson, Willow, Avery\"\n18640,2022/05/17,I spent 16 minutes reading a book today.,I spent 16 minutes reading a book today.\n18641,2022/05/17,I spent 51 minutes watching a documentary on TV today.,I spent 51 minutes watching a documentary on TV today.\n18642,2022/05/18,I did weight lifting on 2022/05/18.,I did weight lifting on 2022/05/18.\n18643,2022/05/18,I prepare pasta for lunch.,I prepare pasta for lunch.\n18644,2022/05/18,\"I spent 25 talking to Nevaeh, Olivia on various topics during lunch hours.\",\"I spent 25 talking to Nevaeh, Olivia on various topics during lunch hours.\"\n18645,2022/05/18,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n18646,2022/05/18,I spent 33 minutes watching a tv series on TV today.,I spent 33 minutes watching a tv series on TV today.\n18647,2022/05/19,\"I went grocery shopping with Kayden, Andrew, Emily, Carter. I bought some cherres, mandarins, clementines, pineapples, chocolate milk, tea, and toothpaste, body lotion, mouthwash, shampoo\",\"I went grocery shopping with Kayden, Andrew, Emily, Carter. I bought some cherres, mandarins, clementines, pineapples, chocolate milk, tea, and toothpaste, body lotion, mouthwash, shampoo\"\n18648,2022/05/19,I did HIIT on 2022/05/19.,I did HIIT on 2022/05/19.\n18649,2022/05/19,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n18650,2022/05/19,\"I had tacos for lunch with Kayden, Carter, Andrew\",\"I had tacos for lunch with Kayden, Carter, Andrew\"\n18651,2022/05/19,I ate a burger for dinner.,I ate a burger for dinner.\n18652,2022/05/19,\"I talked to Piper, Kinsley, Nora, Claire for 33 minutes in the early evening.\",\"I talked to Piper, Kinsley, Nora, Claire for 33 minutes in the early evening.\"\n18653,2022/05/20,I went for an annual dental cleaning and checkup on 2022/05/20 at the university hospital.,I went for an annual dental cleaning and checkup on 2022/05/20 at the university hospital.\n18654,2022/05/20,I did running on 2022/05/20.,I did running on 2022/05/20.\n18655,2022/05/20,\"I had toast and cheese for breakfast with Kayden, Andrew\",\"I had toast and cheese for breakfast with Kayden, Andrew\"\n18656,2022/05/20,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n18657,2022/05/20,\"I spent 33 talking to Eva, Layla on various topics in the early evening.\",\"I spent 33 talking to Eva, Layla on various topics in the early evening.\"\n18658,2022/05/20,I spent 16 minutes on news today.,I spent 16 minutes on news today.\n18659,2022/05/21,I ate steak for dinner.,I ate steak for dinner.\n18660,2022/05/21,I talked to Nora for 26 minutes in the late afternoon.,I talked to Nora for 26 minutes in the late afternoon.\n18661,2022/05/21,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n18662,2022/05/22,I went on a date with Addison on 2022/05/22 at a boba shop,I went on a date with Addison on 2022/05/22 at a boba shop\n18663,2022/05/22,I did weight lifting on 2022/05/22.,I did weight lifting on 2022/05/22.\n18664,2022/05/22,I ate a burger for dinner.,I ate a burger for dinner.\n18665,2022/05/23,\"I had breakfast with Emily, Carter, Kayden. I ate toast and cheese.\",\"I had breakfast with Emily, Carter, Kayden. I ate toast and cheese.\"\n18666,2022/05/23,I ate sushi for dinner.,I ate sushi for dinner.\n18667,2022/05/23,\"I spent 42 talking to Kinsley, Lydia on various topics late in the evening.\",\"I spent 42 talking to Kinsley, Lydia on various topics late in the evening.\"\n18668,2022/05/23,\"I spent 44 talking to Hazel, Nora on various topics late in the evening.\",\"I spent 44 talking to Hazel, Nora on various topics late in the evening.\"\n18669,2022/05/23,I spent 39 minutes reading social media today.,I spent 39 minutes reading social media today.\n18670,2022/05/24,I did swimming on 2022/05/24.,I did swimming on 2022/05/24.\n18671,2022/05/24,I prepare a burger for lunch.,I prepare a burger for lunch.\n18672,2022/05/24,\"I talked to Eva, Piper for 24 minutes in the late afternoon.\",\"I talked to Eva, Piper for 24 minutes in the late afternoon.\"\n18673,2022/05/24,\"I spent 52 talking to Claire, Hazel, Rylee, Lydia on various topics in the morning.\",\"I spent 52 talking to Claire, Hazel, Rylee, Lydia on various topics in the morning.\"\n18674,2022/05/25,I did hiking on 2022/05/25.,I did hiking on 2022/05/25.\n18675,2022/05/25,\"I had indian food for lunch with Emily, Kayden, Carter, Andrew\",\"I had indian food for lunch with Emily, Kayden, Carter, Andrew\"\n18676,2022/05/25,\"I had dinner with Avery, Willow, Benjamin. I ate pasta.\",\"I had dinner with Avery, Willow, Benjamin. I ate pasta.\"\n18677,2022/05/25,\"I spent 13 talking to Lydia, Nora, Claire, Olivia on various topics in the morning.\",\"I spent 13 talking to Lydia, Nora, Claire, Olivia on various topics in the morning.\"\n18678,2022/05/25,I spent 37 talking to Eva on various topics in the early evening.,I spent 37 talking to Eva on various topics in the early evening.\n18679,2022/05/25,I spent 8 minutes reading a book today.,I spent 8 minutes reading a book today.\n18680,2022/05/26,I did HIIT on 2022/05/26.,I did HIIT on 2022/05/26.\n18681,2022/05/26,I had lunch with Emily. I ate sandwich.,I had lunch with Emily. I ate sandwich.\n18682,2022/05/26,\"I spent 52 talking to Rylee, Nevaeh, Kinsley on various topics in the early evening.\",\"I spent 52 talking to Rylee, Nevaeh, Kinsley on various topics in the early evening.\"\n18683,2022/05/26,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n18684,2022/05/26,I watched a tv series for 43 minutes on TV today.,I watched a tv series for 43 minutes on TV today.\n18685,2022/05/27,I did weight lifting on 2022/05/27.,I did weight lifting on 2022/05/27.\n18686,2022/05/27,\"I had pancakes for breakfast with Emily, Andrew, Carter\",\"I had pancakes for breakfast with Emily, Andrew, Carter\"\n18687,2022/05/27,\"I spent 25 talking to Nora, Piper on various topics in the early evening.\",\"I spent 25 talking to Nora, Piper on various topics in the early evening.\"\n18688,2022/05/27,I spent 8 minutes on social media today.,I spent 8 minutes on social media today.\n18689,2022/05/28,\"I bought some blackberries, bananas, raspberries, pineapple juice, sports drinks, coffee, conditioner from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\",\"I bought some blackberries, bananas, raspberries, pineapple juice, sports drinks, coffee, conditioner from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\"\n18690,2022/05/28,I did biking on 2022/05/28.,I did biking on 2022/05/28.\n18691,2022/05/28,\"I had a burger for lunch with Andrew, Emily\",\"I had a burger for lunch with Andrew, Emily\"\n18692,2022/05/28,I talked to Rylee for 17 minutes in the early afternoon.,I talked to Rylee for 17 minutes in the early afternoon.\n18693,2022/05/29,\"On 2022/05/29, I took Stella on a date to a boba shop\",\"On 2022/05/29, I took Stella on a date to a boba shop\"\n18694,2022/05/29,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n18695,2022/05/29,I had dinner. I ate steak.,I had dinner. I ate steak.\n18696,2022/05/29,\"I talked to Hazel, Layla for 38 minutes late in the evening.\",\"I talked to Hazel, Layla for 38 minutes late in the evening.\"\n18697,2022/05/29,\"I talked to Avery, Lydia for 48 minutes in the morning.\",\"I talked to Avery, Lydia for 48 minutes in the morning.\"\n18698,2022/05/29,I spent 7 minutes watching news on TV today.,I spent 7 minutes watching news on TV today.\n18699,2022/05/30,\"I had lunch with Avery, Piper, Nevaeh, Nora, Claire, Layla, Lydia, Hazel. I ate sandwich.\",\"I had lunch with Avery, Piper, Nevaeh, Nora, Claire, Layla, Lydia, Hazel. I ate sandwich.\"\n18700,2022/05/30,\"I talked to Layla, Claire for 48 minutes in the early evening.\",\"I talked to Layla, Claire for 48 minutes in the early evening.\"\n18701,2022/05/30,I spent 34 minutes reading social media today.,I spent 34 minutes reading social media today.\n18702,2022/05/30,I spent 53 minutes watching a movie on TV today.,I spent 53 minutes watching a movie on TV today.\n18703,2022/05/31,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n18704,2022/05/31,\"I spent 36 talking to Nora, Avery on various topics in the early afternoon.\",\"I spent 36 talking to Nora, Avery on various topics in the early afternoon.\"\n18705,2022/05/31,\"I talked to Nevaeh, Kinsley, Claire for 40 minutes late in the evening.\",\"I talked to Nevaeh, Kinsley, Claire for 40 minutes late in the evening.\"\n18706,2022/06/01,\"On 2022/06/01, I took Nathan on a date to a restaurant\",\"On 2022/06/01, I took Nathan on a date to a restaurant\"\n18707,2022/06/01,I did biking on 2022/06/01.,I did biking on 2022/06/01.\n18708,2022/06/01,\"I had eggs, sausages, and bread for breakfast with Layla, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Hazel, Piper\",\"I had eggs, sausages, and bread for breakfast with Layla, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Hazel, Piper\"\n18709,2022/06/01,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n18710,2022/06/01,\"I talked to Olivia, Rylee for 25 minutes late in the evening.\",\"I talked to Olivia, Rylee for 25 minutes late in the evening.\"\n18711,2022/06/01,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n18712,2022/06/02,\"I bought some peaches, bananas, apricots, pears, chocolate milk, paper towel, facial wash, shaving cream, conditioner online.\",\"I bought some peaches, bananas, apricots, pears, chocolate milk, paper towel, facial wash, shaving cream, conditioner online.\"\n18713,2022/06/02,I spent 17 minutes on a book today.,I spent 17 minutes on a book today.\n18714,2022/06/02,I watched a movie for 53 minutes on TV today.,I watched a movie for 53 minutes on TV today.\n18715,2022/06/03,\"I was baking chocolate chip cookie in a mug, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler on 2022/06/03 with Andrew, Carter, Emily at my place\",\"I was baking chocolate chip cookie in a mug, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler on 2022/06/03 with Andrew, Carter, Emily at my place\"\n18716,2022/06/03,I prepare sushi for dinner.,I prepare sushi for dinner.\n18717,2022/06/03,\"I talked to Nora, Piper for 22 minutes in the late afternoon.\",\"I talked to Nora, Piper for 22 minutes in the late afternoon.\"\n18718,2022/06/03,\"I talked to Hazel, Eva for 6 minutes in the early evening.\",\"I talked to Hazel, Eva for 6 minutes in the early evening.\"\n18719,2022/06/03,I spent 55 minutes reading a book today.,I spent 55 minutes reading a book today.\n18720,2022/06/03,I watched a tv series for 46 minutes on TV today.,I watched a tv series for 46 minutes on TV today.\n18721,2022/06/04,I did biking on 2022/06/04.,I did biking on 2022/06/04.\n18722,2022/06/04,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n18723,2022/06/04,\"I spent 50 talking to Rylee, Avery, Hazel, Piper on various topics during lunch hours.\",\"I spent 50 talking to Rylee, Avery, Hazel, Piper on various topics during lunch hours.\"\n18724,2022/06/05,\"I talked to Claire, Avery, Nora, Nevaeh for 51 minutes in the late afternoon.\",\"I talked to Claire, Avery, Nora, Nevaeh for 51 minutes in the late afternoon.\"\n18725,2022/06/05,I talked to Rylee for 20 minutes in the early afternoon.,I talked to Rylee for 20 minutes in the early afternoon.\n18726,2022/06/05,I spent 34 minutes watching a tv series on TV today.,I spent 34 minutes watching a tv series on TV today.\n18727,2022/06/06,I spent time yoga on 2022/06/06 with Olivia.,I spent time yoga on 2022/06/06 with Olivia.\n18728,2022/06/06,\"I talked to Layla, Kinsley for 47 minutes in the morning.\",\"I talked to Layla, Kinsley for 47 minutes in the morning.\"\n18729,2022/06/06,I watched a tv series for 40 minutes on TV today.,I watched a tv series for 40 minutes on TV today.\n18730,2022/06/07,I did swimming on 2022/06/07.,I did swimming on 2022/06/07.\n18731,2022/06/07,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n18732,2022/06/07,\"I spent 30 talking to Eva, Claire, Rylee on various topics in the early afternoon.\",\"I spent 30 talking to Eva, Claire, Rylee on various topics in the early afternoon.\"\n18733,2022/06/07,I watched a movie for 16 minutes on TV today.,I watched a movie for 16 minutes on TV today.\n18734,2022/06/08,\"I had toast and cheese for breakfast with Carter, Emily\",\"I had toast and cheese for breakfast with Carter, Emily\"\n18735,2022/06/08,I prepare steak for lunch.,I prepare steak for lunch.\n18736,2022/06/09,\"I bought some pears, orange juice, mango juice, shampoo, facial wash online.\",\"I bought some pears, orange juice, mango juice, shampoo, facial wash online.\"\n18737,2022/06/09,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n18738,2022/06/09,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n18739,2022/06/09,\"I spent 49 talking to Piper, Avery, Rylee, Piper on various topics in the late afternoon.\",\"I spent 49 talking to Piper, Avery, Rylee, Piper on various topics in the late afternoon.\"\n18740,2022/06/09,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n18741,2022/06/10,I ate sandwich for lunch.,I ate sandwich for lunch.\n18742,2022/06/10,I prepare pasta for dinner.,I prepare pasta for dinner.\n18743,2022/06/10,I talked to Nevaeh for 50 minutes in the early afternoon.,I talked to Nevaeh for 50 minutes in the early afternoon.\n18744,2022/06/11,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n18745,2022/06/11,I ate pasta for lunch.,I ate pasta for lunch.\n18746,2022/06/11,\"I spent 52 talking to Lydia, Piper on various topics in the late afternoon.\",\"I spent 52 talking to Lydia, Piper on various topics in the late afternoon.\"\n18747,2022/06/11,I spent 39 minutes on social media today.,I spent 39 minutes on social media today.\n18748,2022/06/11,I watched a documentary for 38 minutes on TV today.,I watched a documentary for 38 minutes on TV today.\n18749,2022/06/12,\"On 2022/06/12, I took Eleanor on a date to a restaurant\",\"On 2022/06/12, I took Eleanor on a date to a restaurant\"\n18750,2022/06/12,I ate sandwich for dinner.,I ate sandwich for dinner.\n18751,2022/06/12,I spent 37 minutes watching news on TV today.,I spent 37 minutes watching news on TV today.\n18752,2022/06/13,I did HIIT on 2022/06/13.,I did HIIT on 2022/06/13.\n18753,2022/06/13,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n18754,2022/06/13,I ate a burger for lunch.,I ate a burger for lunch.\n18755,2022/06/13,\"I spent 35 talking to Lydia, Nevaeh, Nora on various topics in the early evening.\",\"I spent 35 talking to Lydia, Nevaeh, Nora on various topics in the early evening.\"\n18756,2022/06/13,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n18757,2022/06/13,I spent 55 minutes watching a tv series on TV today.,I spent 55 minutes watching a tv series on TV today.\n18758,2022/06/14,\"I had chinese food for lunch with Jackson, Willow\",\"I had chinese food for lunch with Jackson, Willow\"\n18759,2022/06/14,\"I had dinner with Avery, Jackson, Benjamin. I ate pasta.\",\"I had dinner with Avery, Jackson, Benjamin. I ate pasta.\"\n18760,2022/06/14,I spent 26 talking to Layla on various topics in the late afternoon.,I spent 26 talking to Layla on various topics in the late afternoon.\n18761,2022/06/15,I did biking on 2022/06/15.,I did biking on 2022/06/15.\n18762,2022/06/15,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n18763,2022/06/15,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n18764,2022/06/15,\"I talked to Claire, Nevaeh, Layla for 28 minutes in the early evening.\",\"I talked to Claire, Nevaeh, Layla for 28 minutes in the early evening.\"\n18765,2022/06/16,I did running on 2022/06/16.,I did running on 2022/06/16.\n18766,2022/06/16,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n18767,2022/06/16,I talked to Nevaeh for 55 minutes in the early evening.,I talked to Nevaeh for 55 minutes in the early evening.\n18768,2022/06/16,I spent 31 minutes on news today.,I spent 31 minutes on news today.\n18769,2022/06/16,I spent 25 minutes watching a tv series on TV today.,I spent 25 minutes watching a tv series on TV today.\n18770,2022/06/17,\"I went grocery shopping. I bought some clementines, strawberries, apricots, tea, mango juice, mineral water, sports drinks, and toothbrush\",\"I went grocery shopping. I bought some clementines, strawberries, apricots, tea, mango juice, mineral water, sports drinks, and toothbrush\"\n18771,2022/06/17,I did running on 2022/06/17.,I did running on 2022/06/17.\n18772,2022/06/17,\"I had breakfast with Nevaeh, Eva, Rylee, Kinsley, Hazel, Piper, Avery, Nora, Layla, Claire, Olivia, Piper, Lydia. I ate oatmeal.\",\"I had breakfast with Nevaeh, Eva, Rylee, Kinsley, Hazel, Piper, Avery, Nora, Layla, Claire, Olivia, Piper, Lydia. I ate oatmeal.\"\n18773,2022/06/17,I prepare steak for lunch.,I prepare steak for lunch.\n18774,2022/06/17,I ate a burger for dinner.,I ate a burger for dinner.\n18775,2022/06/17,I spent 27 talking to Avery on various topics late in the evening.,I spent 27 talking to Avery on various topics late in the evening.\n18776,2022/06/17,I spent 32 minutes watching a movie on TV today.,I spent 32 minutes watching a movie on TV today.\n18777,2022/06/18,I did weight lifting on 2022/06/18.,I did weight lifting on 2022/06/18.\n18778,2022/06/18,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n18779,2022/06/19,\"On 2022/06/19, I took Scarlett on a date to a boba shop\",\"On 2022/06/19, I took Scarlett on a date to a boba shop\"\n18780,2022/06/19,I did biking on 2022/06/19.,I did biking on 2022/06/19.\n18781,2022/06/19,I spent 53 minutes watching a documentary on TV today.,I spent 53 minutes watching a documentary on TV today.\n18782,2022/06/20,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n18783,2022/06/20,I had sandwich for dinner with Andrew,I had sandwich for dinner with Andrew\n18784,2022/06/21,I spent some time working out on 2022/06/21.,I spent some time working out on 2022/06/21.\n18785,2022/06/21,I prepare tacos for dinner.,I prepare tacos for dinner.\n18786,2022/06/21,I spent 40 talking to Rylee on various topics late in the evening.,I spent 40 talking to Rylee on various topics late in the evening.\n18787,2022/06/21,I spent 45 talking to Layla on various topics in the early afternoon.,I spent 45 talking to Layla on various topics in the early afternoon.\n18788,2022/06/21,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n18789,2022/06/21,I spent 50 minutes watching a documentary on TV today.,I spent 50 minutes watching a documentary on TV today.\n18790,2022/06/22,I did hiking on 2022/06/22.,I did hiking on 2022/06/22.\n18791,2022/06/23,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n18792,2022/06/23,I talked to Lydia for 38 minutes in the early evening.,I talked to Lydia for 38 minutes in the early evening.\n18793,2022/06/24,\"I bought some oranges, bananas, raspberries, peaches, soda, orange juice, body lotion, shampoo, toothpaste, toilet paper online.\",\"I bought some oranges, bananas, raspberries, peaches, soda, orange juice, body lotion, shampoo, toothpaste, toilet paper online.\"\n18794,2022/06/24,I did running on 2022/06/24.,I did running on 2022/06/24.\n18795,2022/06/24,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n18796,2022/06/24,I had dinner. I ate chinese food.,I had dinner. I ate chinese food.\n18797,2022/06/24,\"I talked to Piper, Nora, Piper for 47 minutes in the late afternoon.\",\"I talked to Piper, Nora, Piper for 47 minutes in the late afternoon.\"\n18798,2022/06/25,I really enjoyed gardening on 2022/06/25,I really enjoyed gardening on 2022/06/25\n18799,2022/06/25,\"I had breakfast with Andrew, Emily, Carter. I ate pancakes.\",\"I had breakfast with Andrew, Emily, Carter. I ate pancakes.\"\n18800,2022/06/25,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n18801,2022/06/25,\"I spent 12 talking to Hazel, Nevaeh, Piper on various topics late in the evening.\",\"I spent 12 talking to Hazel, Nevaeh, Piper on various topics late in the evening.\"\n18802,2022/06/25,I spent 10 minutes reading social media today.,I spent 10 minutes reading social media today.\n18803,2022/06/25,I spent 22 minutes watching news on TV today.,I spent 22 minutes watching news on TV today.\n18804,2022/06/26,\"I really enjoyed cooking chow mein, cheesy ham chowder on 2022/06/26 with Andrew, Kayden, Emily at my place\",\"I really enjoyed cooking chow mein, cheesy ham chowder on 2022/06/26 with Andrew, Kayden, Emily at my place\"\n18805,2022/06/26,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n18806,2022/06/26,I ate sandwich for dinner.,I ate sandwich for dinner.\n18807,2022/06/26,I spent 35 minutes reading a book today.,I spent 35 minutes reading a book today.\n18808,2022/06/27,\"I went grocery shopping. I bought some apples, clementines, mandarins, oranges, pineapple juice, and toothbrush, conditioner, mouthwash, body lotion\",\"I went grocery shopping. I bought some apples, clementines, mandarins, oranges, pineapple juice, and toothbrush, conditioner, mouthwash, body lotion\"\n18809,2022/06/27,I had lunch. I ate tacos.,I had lunch. I ate tacos.\n18810,2022/06/27,I ate steak for dinner.,I ate steak for dinner.\n18811,2022/06/27,\"I talked to Rylee, Nevaeh, Hazel for 47 minutes late in the evening.\",\"I talked to Rylee, Nevaeh, Hazel for 47 minutes late in the evening.\"\n18812,2022/06/27,\"I talked to Layla, Piper, Hazel for 55 minutes in the early afternoon.\",\"I talked to Layla, Piper, Hazel for 55 minutes in the early afternoon.\"\n18813,2022/06/27,I spent 7 minutes watching a tv series on TV today.,I spent 7 minutes watching a tv series on TV today.\n18814,2022/06/28,\"I spent 20 talking to Olivia, Rylee on various topics during lunch hours.\",\"I spent 20 talking to Olivia, Rylee on various topics during lunch hours.\"\n18815,2022/06/28,I talked to Eva for 33 minutes late in the evening.,I talked to Eva for 33 minutes late in the evening.\n18816,2022/06/28,I watched a documentary for 26 minutes on TV today.,I watched a documentary for 26 minutes on TV today.\n18817,2022/06/29,I spent some time yoga on 2022/06/29.,I spent some time yoga on 2022/06/29.\n18818,2022/06/29,\"I bought some oranges, orange juice, guava juice, milk, mouth wash, toilet paper, toothbrush from the grocery store. I saw Nevaeh, Olivia, Kinsley, Avery, Layla, Eva at the grocery store.\",\"I bought some oranges, orange juice, guava juice, milk, mouth wash, toilet paper, toothbrush from the grocery store. I saw Nevaeh, Olivia, Kinsley, Avery, Layla, Eva at the grocery store.\"\n18819,2022/06/29,I did swimming on 2022/06/29.,I did swimming on 2022/06/29.\n18820,2022/06/29,I had cereals for breakfast with Andrew,I had cereals for breakfast with Andrew\n18821,2022/06/29,\"I had dinner with Avery, Rylee, Hazel, Lydia, Claire, Nevaeh, Olivia, Piper, Eva, Layla, Piper. I ate pasta.\",\"I had dinner with Avery, Rylee, Hazel, Lydia, Claire, Nevaeh, Olivia, Piper, Eva, Layla, Piper. I ate pasta.\"\n18822,2022/06/29,I spent 50 minutes on news today.,I spent 50 minutes on news today.\n18823,2022/06/30,I did running on 2022/06/30.,I did running on 2022/06/30.\n18824,2022/06/30,I prepare steak for lunch.,I prepare steak for lunch.\n18825,2022/06/30,I had steak for dinner with Andrew,I had steak for dinner with Andrew\n18826,2022/06/30,\"I talked to Avery, Lydia, Eva, Kinsley for 25 minutes late in the evening.\",\"I talked to Avery, Lydia, Eva, Kinsley for 25 minutes late in the evening.\"\n18827,2022/06/30,I watched a movie for 10 minutes on TV today.,I watched a movie for 10 minutes on TV today.\n18828,2022/07/01,\"I had sandwich for dinner with Carter, Kayden, Emily, Andrew\",\"I had sandwich for dinner with Carter, Kayden, Emily, Andrew\"\n18829,2022/07/01,\"I spent 9 talking to Olivia, Layla, Kinsley, Nora on various topics in the morning.\",\"I spent 9 talking to Olivia, Layla, Kinsley, Nora on various topics in the morning.\"\n18830,2022/07/02,I had a burger for lunch with Andrew,I had a burger for lunch with Andrew\n18831,2022/07/02,I spent 19 minutes on social media today.,I spent 19 minutes on social media today.\n18832,2022/07/03,I did weight lifting on 2022/07/03.,I did weight lifting on 2022/07/03.\n18833,2022/07/03,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n18834,2022/07/03,I ate sandwich for lunch.,I ate sandwich for lunch.\n18835,2022/07/03,\"I had dinner with Andrew, Emily. I ate tacos.\",\"I had dinner with Andrew, Emily. I ate tacos.\"\n18836,2022/07/03,\"I spent 52 talking to Nora, Kinsley, Nevaeh, Olivia on various topics late in the evening.\",\"I spent 52 talking to Nora, Kinsley, Nevaeh, Olivia on various topics late in the evening.\"\n18837,2022/07/03,\"I talked to Hazel, Olivia, Nora for 32 minutes in the morning.\",\"I talked to Hazel, Olivia, Nora for 32 minutes in the morning.\"\n18838,2022/07/03,I spent 48 minutes reading social media today.,I spent 48 minutes reading social media today.\n18839,2022/07/03,I watched a movie for 11 minutes on TV today.,I watched a movie for 11 minutes on TV today.\n18840,2022/07/04,\"I had cereals for breakfast with Olivia, Claire, Lydia, Rylee, Piper, Hazel, Avery, Layla, Eva\",\"I had cereals for breakfast with Olivia, Claire, Lydia, Rylee, Piper, Hazel, Avery, Layla, Eva\"\n18841,2022/07/04,I prepare indian food for lunch.,I prepare indian food for lunch.\n18842,2022/07/04,I ate pasta for dinner.,I ate pasta for dinner.\n18843,2022/07/05,I went on a date with Delilah on 2022/07/05 at a park,I went on a date with Delilah on 2022/07/05 at a park\n18844,2022/07/05,I ate cereals for breakfast.,I ate cereals for breakfast.\n18845,2022/07/05,\"I talked to Layla, Nevaeh for 50 minutes in the late afternoon.\",\"I talked to Layla, Nevaeh for 50 minutes in the late afternoon.\"\n18846,2022/07/05,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n18847,2022/07/06,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n18848,2022/07/06,I prepare a burger for dinner.,I prepare a burger for dinner.\n18849,2022/07/06,I watched news for 8 minutes on TV today.,I watched news for 8 minutes on TV today.\n18850,2022/07/07,I did swimming on 2022/07/07.,I did swimming on 2022/07/07.\n18851,2022/07/07,\"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\"\n18852,2022/07/07,\"I had lunch with Andrew, Emily, Kayden, Carter. I ate chinese food.\",\"I had lunch with Andrew, Emily, Kayden, Carter. I ate chinese food.\"\n18853,2022/07/07,\"I had dinner with Nora, Piper, Claire, Kinsley, Lydia, Avery, Eva. I ate sandwich.\",\"I had dinner with Nora, Piper, Claire, Kinsley, Lydia, Avery, Eva. I ate sandwich.\"\n18854,2022/07/07,I talked to Layla for 16 minutes late in the evening.,I talked to Layla for 16 minutes late in the evening.\n18855,2022/07/07,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n18856,2022/07/07,I watched a movie for 12 minutes on TV today.,I watched a movie for 12 minutes on TV today.\n18857,2022/07/08,\"I had breakfast with Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\"\n18858,2022/07/08,I had dinner. I ate tacos.,I had dinner. I ate tacos.\n18859,2022/07/09,I did swimming on 2022/07/09.,I did swimming on 2022/07/09.\n18860,2022/07/09,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n18861,2022/07/10,\"I bought some guava, orange juice, toilet paper, toothbrush online.\",\"I bought some guava, orange juice, toilet paper, toothbrush online.\"\n18862,2022/07/10,I did biking on 2022/07/10.,I did biking on 2022/07/10.\n18863,2022/07/10,\"I talked to Layla, Eva, Olivia for 12 minutes in the early afternoon.\",\"I talked to Layla, Eva, Olivia for 12 minutes in the early afternoon.\"\n18864,2022/07/10,\"I talked to Layla, Nora for 25 minutes in the late afternoon.\",\"I talked to Layla, Nora for 25 minutes in the late afternoon.\"\n18865,2022/07/10,I spent 31 minutes reading news today.,I spent 31 minutes reading news today.\n18866,2022/07/11,\"I spent 14 talking to Piper, Rylee, Kinsley on various topics during lunch hours.\",\"I spent 14 talking to Piper, Rylee, Kinsley on various topics during lunch hours.\"\n18867,2022/07/11,I spent 5 minutes watching a movie on TV today.,I spent 5 minutes watching a movie on TV today.\n18868,2022/07/12,\"I was baking lemon meringue cookies on 2022/07/12 with Kayden, Carter, Emily, Andrew at my place\",\"I was baking lemon meringue cookies on 2022/07/12 with Kayden, Carter, Emily, Andrew at my place\"\n18869,2022/07/12,I did HIIT on 2022/07/12.,I did HIIT on 2022/07/12.\n18870,2022/07/12,\"I had toast and cheese for breakfast with Andrew, Carter\",\"I had toast and cheese for breakfast with Andrew, Carter\"\n18871,2022/07/12,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n18872,2022/07/12,\"I talked to Hazel, Avery for 15 minutes in the late afternoon.\",\"I talked to Hazel, Avery for 15 minutes in the late afternoon.\"\n18873,2022/07/12,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n18874,2022/07/12,I watched a documentary for 35 minutes on TV today.,I watched a documentary for 35 minutes on TV today.\n18875,2022/07/13,I did weight lifting on 2022/07/13.,I did weight lifting on 2022/07/13.\n18876,2022/07/13,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n18877,2022/07/13,I prepare indian food for lunch.,I prepare indian food for lunch.\n18878,2022/07/13,\"I talked to Layla, Nevaeh for 41 minutes late in the evening.\",\"I talked to Layla, Nevaeh for 41 minutes late in the evening.\"\n18879,2022/07/14,I did biking on 2022/07/14.,I did biking on 2022/07/14.\n18880,2022/07/14,I prepare pasta for lunch.,I prepare pasta for lunch.\n18881,2022/07/15,I did biking on 2022/07/15.,I did biking on 2022/07/15.\n18882,2022/07/15,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n18883,2022/07/15,I had sushi for lunch with Avery,I had sushi for lunch with Avery\n18884,2022/07/15,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n18885,2022/07/15,I watched news for 9 minutes on TV today.,I watched news for 9 minutes on TV today.\n18886,2022/07/16,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n18887,2022/07/16,I prepare fish and chips for dinner.,I prepare fish and chips for dinner.\n18888,2022/07/16,I spent 45 minutes reading news today.,I spent 45 minutes reading news today.\n18889,2022/07/17,I went on a date with Lucas on 2022/07/17 at a park,I went on a date with Lucas on 2022/07/17 at a park\n18890,2022/07/17,\"I went grocery shopping with Piper, Kinsley. I bought some apricots, raspberries, blackberries, watermelons, mineral water, and body lotion, mouth wash\",\"I went grocery shopping with Piper, Kinsley. I bought some apricots, raspberries, blackberries, watermelons, mineral water, and body lotion, mouth wash\"\n18891,2022/07/17,I spent 45 talking to Lydia on various topics in the early evening.,I spent 45 talking to Lydia on various topics in the early evening.\n18892,2022/07/17,I spent 31 minutes on a book today.,I spent 31 minutes on a book today.\n18893,2022/07/18,I did running on 2022/07/18.,I did running on 2022/07/18.\n18894,2022/07/18,I ate indian food for lunch.,I ate indian food for lunch.\n18895,2022/07/18,I ate sandwich for dinner.,I ate sandwich for dinner.\n18896,2022/07/18,I spent 23 minutes reading a book today.,I spent 23 minutes reading a book today.\n18897,2022/07/18,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n18898,2022/07/19,\"I had breakfast with Emily. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily. I ate eggs, sausages, and bread.\"\n18899,2022/07/19,I ate tacos for lunch.,I ate tacos for lunch.\n18900,2022/07/19,\"I talked to Claire, Hazel for 31 minutes during lunch hours.\",\"I talked to Claire, Hazel for 31 minutes during lunch hours.\"\n18901,2022/07/20,I spent 47 minutes watching news on TV today.,I spent 47 minutes watching news on TV today.\n18902,2022/07/21,I did biking on 2022/07/21.,I did biking on 2022/07/21.\n18903,2022/07/21,I had peanut-butter-jam for breakfast with Emily,I had peanut-butter-jam for breakfast with Emily\n18904,2022/07/21,I ate sandwich for lunch.,I ate sandwich for lunch.\n18905,2022/07/21,I had dinner. I ate indian food.,I had dinner. I ate indian food.\n18906,2022/07/22,\"I had breakfast with Carter, Emily, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Carter, Emily, Andrew. I ate eggs, sausages, and bread.\"\n18907,2022/07/22,\"I had lunch with Emily, Andrew. I ate tacos.\",\"I had lunch with Emily, Andrew. I ate tacos.\"\n18908,2022/07/22,\"I spent 49 talking to Layla, Piper, Eva on various topics during lunch hours.\",\"I spent 49 talking to Layla, Piper, Eva on various topics during lunch hours.\"\n18909,2022/07/22,I spent 41 minutes watching a movie on TV today.,I spent 41 minutes watching a movie on TV today.\n18910,2022/07/23,\"On 2022/07/23, I took Jordan on a date to a restaurant\",\"On 2022/07/23, I took Jordan on a date to a restaurant\"\n18911,2022/07/23,\"I talked to Rylee, Nevaeh, Hazel, Kinsley for 54 minutes during lunch hours.\",\"I talked to Rylee, Nevaeh, Hazel, Kinsley for 54 minutes during lunch hours.\"\n18912,2022/07/23,I spent 50 minutes reading social media today.,I spent 50 minutes reading social media today.\n18913,2022/07/24,I did running on 2022/07/24.,I did running on 2022/07/24.\n18914,2022/07/24,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n18915,2022/07/25,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n18916,2022/07/25,I prepare indian food for lunch.,I prepare indian food for lunch.\n18917,2022/07/25,\"I had tacos for dinner with Olivia, Nora, Rylee, Avery, Claire, Nevaeh, Eva, Piper, Layla, Piper\",\"I had tacos for dinner with Olivia, Nora, Rylee, Avery, Claire, Nevaeh, Eva, Piper, Layla, Piper\"\n18918,2022/07/25,\"I talked to Eva, Piper, Nevaeh for 41 minutes in the early evening.\",\"I talked to Eva, Piper, Nevaeh for 41 minutes in the early evening.\"\n18919,2022/07/25,I spent 26 minutes watching a tv series on TV today.,I spent 26 minutes watching a tv series on TV today.\n18920,2022/07/26,my parents for their and I went for an annual physical checkup at the university hospital on 2022/07/26.,my parents for their and I went for an annual physical checkup at the university hospital on 2022/07/26.\n18921,2022/07/26,I did swimming on 2022/07/26.,I did swimming on 2022/07/26.\n18922,2022/07/26,\"I had cereals for breakfast with Willow, Jackson, Benjamin, Avery\",\"I had cereals for breakfast with Willow, Jackson, Benjamin, Avery\"\n18923,2022/07/26,\"I had chinese food for lunch with Nora, Lydia, Nevaeh, Rylee, Hazel, Eva, Kinsley, Claire, Avery, Piper, Layla, Olivia, Piper\",\"I had chinese food for lunch with Nora, Lydia, Nevaeh, Rylee, Hazel, Eva, Kinsley, Claire, Avery, Piper, Layla, Olivia, Piper\"\n18924,2022/07/26,I had pasta for dinner with Kinsley,I had pasta for dinner with Kinsley\n18925,2022/07/26,\"I talked to Rylee, Piper, Olivia for 13 minutes late in the evening.\",\"I talked to Rylee, Piper, Olivia for 13 minutes late in the evening.\"\n18926,2022/07/26,I spent 24 minutes on news today.,I spent 24 minutes on news today.\n18927,2022/07/26,I watched news for 27 minutes on TV today.,I watched news for 27 minutes on TV today.\n18928,2022/07/27,I went on a date with Piper on 2022/07/27 at a restaurant,I went on a date with Piper on 2022/07/27 at a restaurant\n18929,2022/07/27,\"I bought some peaches, bananas, mineral water, guava juice, pineapple juice, mouthwash from the grocery store. I saw Benjamin, Willow, Jackson, Avery at the grocery store.\",\"I bought some peaches, bananas, mineral water, guava juice, pineapple juice, mouthwash from the grocery store. I saw Benjamin, Willow, Jackson, Avery at the grocery store.\"\n18930,2022/07/27,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n18931,2022/07/27,\"I spent 41 talking to Nevaeh, Piper on various topics in the late afternoon.\",\"I spent 41 talking to Nevaeh, Piper on various topics in the late afternoon.\"\n18932,2022/07/27,I watched a movie for 26 minutes on TV today.,I watched a movie for 26 minutes on TV today.\n18933,2022/07/28,I did hiking on 2022/07/28.,I did hiking on 2022/07/28.\n18934,2022/07/28,\"I had toast and cheese for breakfast with Piper, Olivia, Piper, Claire, Avery, Nevaeh, Hazel, Kinsley, Lydia, Eva, Layla, Nora\",\"I had toast and cheese for breakfast with Piper, Olivia, Piper, Claire, Avery, Nevaeh, Hazel, Kinsley, Lydia, Eva, Layla, Nora\"\n18935,2022/07/28,\"I had lunch with Emily, Andrew, Kayden. I ate sushi.\",\"I had lunch with Emily, Andrew, Kayden. I ate sushi.\"\n18936,2022/07/28,I talked to Layla for 11 minutes in the early afternoon.,I talked to Layla for 11 minutes in the early afternoon.\n18937,2022/07/28,I spent 14 minutes watching a movie on TV today.,I spent 14 minutes watching a movie on TV today.\n18938,2022/07/29,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n18939,2022/07/29,\"I spent 25 talking to Rylee, Eva, Layla on various topics in the early afternoon.\",\"I spent 25 talking to Rylee, Eva, Layla on various topics in the early afternoon.\"\n18940,2022/07/29,I spent 42 minutes reading news today.,I spent 42 minutes reading news today.\n18941,2022/07/29,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n18942,2022/07/30,I did HIIT on 2022/07/30.,I did HIIT on 2022/07/30.\n18943,2022/07/30,\"I had lunch with Layla, Kinsley. I ate indian food.\",\"I had lunch with Layla, Kinsley. I ate indian food.\"\n18944,2022/07/30,I prepare a burger for dinner.,I prepare a burger for dinner.\n18945,2022/07/30,\"I spent 25 talking to Kinsley, Eva, Claire, Nevaeh on various topics late in the evening.\",\"I spent 25 talking to Kinsley, Eva, Claire, Nevaeh on various topics late in the evening.\"\n18946,2022/08/01,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n18947,2022/08/01,I had dinner. I ate steak.,I had dinner. I ate steak.\n18948,2022/08/01,I spent 43 talking to Layla on various topics during lunch hours.,I spent 43 talking to Layla on various topics during lunch hours.\n18949,2022/08/01,I spent 17 talking to Hazel on various topics in the late afternoon.,I spent 17 talking to Hazel on various topics in the late afternoon.\n18950,2022/08/01,I spent 27 minutes on social media today.,I spent 27 minutes on social media today.\n18951,2022/08/02,I did swimming on 2022/08/02.,I did swimming on 2022/08/02.\n18952,2022/08/02,I prepare a burger for dinner.,I prepare a burger for dinner.\n18953,2022/08/02,\"I talked to Piper, Kinsley for 5 minutes during lunch hours.\",\"I talked to Piper, Kinsley for 5 minutes during lunch hours.\"\n18954,2022/08/02,\"I spent 27 talking to Olivia, Nora, Kinsley on various topics during lunch hours.\",\"I spent 27 talking to Olivia, Nora, Kinsley on various topics during lunch hours.\"\n18955,2022/08/02,I spent 15 minutes watching a documentary on TV today.,I spent 15 minutes watching a documentary on TV today.\n18956,2022/08/03,I did biking on 2022/08/03.,I did biking on 2022/08/03.\n18957,2022/08/03,I prepare a burger for lunch.,I prepare a burger for lunch.\n18958,2022/08/03,\"I had dinner with Layla, Rylee. I ate indian food.\",\"I had dinner with Layla, Rylee. I ate indian food.\"\n18959,2022/08/03,\"I talked to Piper, Lydia for 32 minutes in the early evening.\",\"I talked to Piper, Lydia for 32 minutes in the early evening.\"\n18960,2022/08/03,I spent 44 talking to Eva on various topics late in the evening.,I spent 44 talking to Eva on various topics late in the evening.\n18961,2022/08/04,\"I had pancakes for breakfast with Carter, Andrew\",\"I had pancakes for breakfast with Carter, Andrew\"\n18962,2022/08/04,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n18963,2022/08/04,\"I spent 31 talking to Piper, Layla, Lydia on various topics during lunch hours.\",\"I spent 31 talking to Piper, Layla, Lydia on various topics during lunch hours.\"\n18964,2022/08/04,I spent 54 talking to Hazel on various topics in the morning.,I spent 54 talking to Hazel on various topics in the morning.\n18965,2022/08/04,I spent 26 minutes watching a movie on TV today.,I spent 26 minutes watching a movie on TV today.\n18966,2022/08/05,\"I spent time meditation on 2022/08/05 with Andrew, Emily.\",\"I spent time meditation on 2022/08/05 with Andrew, Emily.\"\n18967,2022/08/05,I did hiking on 2022/08/05.,I did hiking on 2022/08/05.\n18968,2022/08/05,\"I had steak for lunch with Carter, Kayden, Emily\",\"I had steak for lunch with Carter, Kayden, Emily\"\n18969,2022/08/05,\"I had sandwich for dinner with Kayden, Andrew\",\"I had sandwich for dinner with Kayden, Andrew\"\n18970,2022/08/05,\"I talked to Lydia, Rylee, Piper, Avery for 38 minutes during lunch hours.\",\"I talked to Lydia, Rylee, Piper, Avery for 38 minutes during lunch hours.\"\n18971,2022/08/05,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n18972,2022/08/06,I did HIIT on 2022/08/06.,I did HIIT on 2022/08/06.\n18973,2022/08/06,\"I had breakfast with Willow, Avery, Benjamin. I ate toast and cheese.\",\"I had breakfast with Willow, Avery, Benjamin. I ate toast and cheese.\"\n18974,2022/08/06,\"I had tacos for lunch with Kinsley, Nora, Rylee, Avery, Olivia\",\"I had tacos for lunch with Kinsley, Nora, Rylee, Avery, Olivia\"\n18975,2022/08/06,\"I spent 51 talking to Piper, Layla on various topics during lunch hours.\",\"I spent 51 talking to Piper, Layla on various topics during lunch hours.\"\n18976,2022/08/06,I watched a tv series for 21 minutes on TV today.,I watched a tv series for 21 minutes on TV today.\n18977,2022/08/07,I prepare steak for lunch.,I prepare steak for lunch.\n18978,2022/08/07,I talked to Eva for 42 minutes during lunch hours.,I talked to Eva for 42 minutes during lunch hours.\n18979,2022/08/07,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n18980,2022/08/07,I spent 21 minutes watching a tv series on TV today.,I spent 21 minutes watching a tv series on TV today.\n18981,2022/08/08,I spent some time working out on 2022/08/08.,I spent some time working out on 2022/08/08.\n18982,2022/08/08,I ate sushi for lunch.,I ate sushi for lunch.\n18983,2022/08/08,\"I talked to Claire, Rylee for 47 minutes in the early evening.\",\"I talked to Claire, Rylee for 47 minutes in the early evening.\"\n18984,2022/08/08,I spent 30 minutes on news today.,I spent 30 minutes on news today.\n18985,2022/08/09,\"On 2022/08/09, I took Gianna on a date to a restaurant\",\"On 2022/08/09, I took Gianna on a date to a restaurant\"\n18986,2022/08/09,I did hiking on 2022/08/09.,I did hiking on 2022/08/09.\n18987,2022/08/09,\"I had sandwich for dinner with Lydia, Olivia, Nora, Piper, Avery\",\"I had sandwich for dinner with Lydia, Olivia, Nora, Piper, Avery\"\n18988,2022/08/09,I talked to Nora for 43 minutes in the late afternoon.,I talked to Nora for 43 minutes in the late afternoon.\n18989,2022/08/10,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n18990,2022/08/10,I spent 37 minutes watching a documentary on TV today.,I spent 37 minutes watching a documentary on TV today.\n18991,2022/08/11,\"I went grocery shopping with Eva, Kinsley, Olivia, Avery, Piper, Rylee, Nora, Lydia, Claire, Nevaeh, Layla, Piper, Hazel. I bought some guava, bananas, sports drinks, chocolate milk, mineral water, soda, and toothpaste\",\"I went grocery shopping with Eva, Kinsley, Olivia, Avery, Piper, Rylee, Nora, Lydia, Claire, Nevaeh, Layla, Piper, Hazel. I bought some guava, bananas, sports drinks, chocolate milk, mineral water, soda, and toothpaste\"\n18992,2022/08/11,I did swimming on 2022/08/11.,I did swimming on 2022/08/11.\n18993,2022/08/11,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n18994,2022/08/11,I had lunch with Emily. I ate tacos.,I had lunch with Emily. I ate tacos.\n18995,2022/08/11,I prepare steak for dinner.,I prepare steak for dinner.\n18996,2022/08/11,I spent 24 minutes reading news today.,I spent 24 minutes reading news today.\n18997,2022/08/11,I watched a movie for 28 minutes on TV today.,I watched a movie for 28 minutes on TV today.\n18998,2022/08/12,I did HIIT on 2022/08/12.,I did HIIT on 2022/08/12.\n18999,2022/08/12,I prepare sushi for dinner.,I prepare sushi for dinner.\n19000,2022/08/12,I spent 50 talking to Hazel on various topics in the early afternoon.,I spent 50 talking to Hazel on various topics in the early afternoon.\n19001,2022/08/12,I spent 37 minutes reading a book today.,I spent 37 minutes reading a book today.\n19002,2022/08/13,I did HIIT on 2022/08/13.,I did HIIT on 2022/08/13.\n19003,2022/08/13,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n19004,2022/08/13,\"I spent 7 talking to Rylee, Hazel, Lydia, Kinsley on various topics in the early evening.\",\"I spent 7 talking to Rylee, Hazel, Lydia, Kinsley on various topics in the early evening.\"\n19005,2022/08/14,I did hiking on 2022/08/14.,I did hiking on 2022/08/14.\n19006,2022/08/14,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n19007,2022/08/14,I spent 21 talking to Piper on various topics late in the evening.,I spent 21 talking to Piper on various topics late in the evening.\n19008,2022/08/14,I spent 26 minutes reading a book today.,I spent 26 minutes reading a book today.\n19009,2022/08/15,I spent 37 minutes on a book today.,I spent 37 minutes on a book today.\n19010,2022/08/16,I did swimming on 2022/08/16.,I did swimming on 2022/08/16.\n19011,2022/08/16,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n19012,2022/08/16,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n19013,2022/08/16,I ate fish and chips for dinner.,I ate fish and chips for dinner.\n19014,2022/08/16,I spent 55 talking to Hazel on various topics in the late afternoon.,I spent 55 talking to Hazel on various topics in the late afternoon.\n19015,2022/08/16,I talked to Kinsley for 20 minutes in the early evening.,I talked to Kinsley for 20 minutes in the early evening.\n19016,2022/08/17,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n19017,2022/08/17,\"I had steak for lunch with Carter, Emily, Andrew, Kayden\",\"I had steak for lunch with Carter, Emily, Andrew, Kayden\"\n19018,2022/08/17,I talked to Piper for 31 minutes during lunch hours.,I talked to Piper for 31 minutes during lunch hours.\n19019,2022/08/17,I spent 39 minutes watching a documentary on TV today.,I spent 39 minutes watching a documentary on TV today.\n19020,2022/08/18,I went on a date with Josiah on 2022/08/18 at a park,I went on a date with Josiah on 2022/08/18 at a park\n19021,2022/08/18,\"I had lunch with Piper, Nevaeh, Rylee, Avery, Lydia, Piper. I ate steak.\",\"I had lunch with Piper, Nevaeh, Rylee, Avery, Lydia, Piper. I ate steak.\"\n19022,2022/08/18,\"I talked to Piper, Rylee for 48 minutes in the early afternoon.\",\"I talked to Piper, Rylee for 48 minutes in the early afternoon.\"\n19023,2022/08/18,I spent 38 talking to Layla on various topics in the early evening.,I spent 38 talking to Layla on various topics in the early evening.\n19024,2022/08/18,I watched news for 26 minutes on TV today.,I watched news for 26 minutes on TV today.\n19025,2022/08/19,I did biking on 2022/08/19.,I did biking on 2022/08/19.\n19026,2022/08/19,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n19027,2022/08/19,I spent 9 minutes on a book today.,I spent 9 minutes on a book today.\n19028,2022/08/19,I spent 46 minutes watching news on TV today.,I spent 46 minutes watching news on TV today.\n19029,2022/08/20,I ate sushi for lunch.,I ate sushi for lunch.\n19030,2022/08/20,I spent 45 minutes on news today.,I spent 45 minutes on news today.\n19031,2022/08/21,I had breakfast with Carter. I ate peanut-butter-jam.,I had breakfast with Carter. I ate peanut-butter-jam.\n19032,2022/08/21,I watched a tv series for 7 minutes on TV today.,I watched a tv series for 7 minutes on TV today.\n19033,2022/08/22,\"On 2022/08/22, I took Josiah on a date to a park\",\"On 2022/08/22, I took Josiah on a date to a park\"\n19034,2022/08/22,I really enjoyed learning a language on 2022/08/22,I really enjoyed learning a language on 2022/08/22\n19035,2022/08/22,\"I had lunch with Piper, Piper, Nevaeh, Eva, Nora, Kinsley, Lydia, Avery. I ate pasta.\",\"I had lunch with Piper, Piper, Nevaeh, Eva, Nora, Kinsley, Lydia, Avery. I ate pasta.\"\n19036,2022/08/22,\"I talked to Piper, Avery, Nora, Piper for 30 minutes in the late afternoon.\",\"I talked to Piper, Avery, Nora, Piper for 30 minutes in the late afternoon.\"\n19037,2022/08/22,I spent 28 minutes reading social media today.,I spent 28 minutes reading social media today.\n19038,2022/08/23,\"I bought some bananas, pineapples, coffee, milk, sports drinks, guava juice, paper towel, shampoo from the grocery store. I saw Piper, Avery, Olivia, Lydia, Eva, Hazel, Rylee, Nora, Kinsley, Claire, Layla, Nevaeh, Piper at the grocery store.\",\"I bought some bananas, pineapples, coffee, milk, sports drinks, guava juice, paper towel, shampoo from the grocery store. I saw Piper, Avery, Olivia, Lydia, Eva, Hazel, Rylee, Nora, Kinsley, Claire, Layla, Nevaeh, Piper at the grocery store.\"\n19039,2022/08/23,I did HIIT on 2022/08/23.,I did HIIT on 2022/08/23.\n19040,2022/08/23,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n19041,2022/08/23,\"I talked to Eva, Rylee for 40 minutes in the early evening.\",\"I talked to Eva, Rylee for 40 minutes in the early evening.\"\n19042,2022/08/23,I spent 25 minutes on news today.,I spent 25 minutes on news today.\n19043,2022/08/23,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n19044,2022/08/24,I spent some time yoga on 2022/08/24.,I spent some time yoga on 2022/08/24.\n19045,2022/08/24,I did hiking on 2022/08/24.,I did hiking on 2022/08/24.\n19046,2022/08/24,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n19047,2022/08/24,\"I spent 41 talking to Avery, Nora, Rylee on various topics in the late afternoon.\",\"I spent 41 talking to Avery, Nora, Rylee on various topics in the late afternoon.\"\n19048,2022/08/24,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n19049,2022/08/25,I ate cereals for breakfast.,I ate cereals for breakfast.\n19050,2022/08/25,\"I spent 53 talking to Nora, Piper, Nevaeh, Rylee on various topics during lunch hours.\",\"I spent 53 talking to Nora, Piper, Nevaeh, Rylee on various topics during lunch hours.\"\n19051,2022/08/25,I spent 7 minutes on news today.,I spent 7 minutes on news today.\n19052,2022/08/26,I went on a date with Austin on 2022/08/26 at a park,I went on a date with Austin on 2022/08/26 at a park\n19053,2022/08/26,I did running on 2022/08/26.,I did running on 2022/08/26.\n19054,2022/08/26,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n19055,2022/08/26,\"I spent 17 talking to Nora, Avery on various topics in the early evening.\",\"I spent 17 talking to Nora, Avery on various topics in the early evening.\"\n19056,2022/08/26,I spent 38 minutes watching a movie on TV today.,I spent 38 minutes watching a movie on TV today.\n19057,2022/08/27,\"I bought some cherres, apricots, apple juice, mango juice, guava juice, milk, conditioner, toilet paper, shampoo from the grocery store. I saw Rylee, Lydia, Claire, Eva, Kinsley at the grocery store.\",\"I bought some cherres, apricots, apple juice, mango juice, guava juice, milk, conditioner, toilet paper, shampoo from the grocery store. I saw Rylee, Lydia, Claire, Eva, Kinsley at the grocery store.\"\n19058,2022/08/27,I did weight lifting on 2022/08/27.,I did weight lifting on 2022/08/27.\n19059,2022/08/27,I spent 9 talking to Nora on various topics in the late afternoon.,I spent 9 talking to Nora on various topics in the late afternoon.\n19060,2022/08/27,\"I talked to Nevaeh, Layla, Claire for 35 minutes during lunch hours.\",\"I talked to Nevaeh, Layla, Claire for 35 minutes during lunch hours.\"\n19061,2022/08/27,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n19062,2022/08/27,I spent 35 minutes watching a tv series on TV today.,I spent 35 minutes watching a tv series on TV today.\n19063,2022/08/28,I took my parents for their for an annual vision checkup on 2022/08/28 at the private clinic.,I took my parents for their for an annual vision checkup on 2022/08/28 at the private clinic.\n19064,2022/08/28,I went on a date with Ava on 2022/08/28 at a park,I went on a date with Ava on 2022/08/28 at a park\n19065,2022/08/28,I did biking on 2022/08/28.,I did biking on 2022/08/28.\n19066,2022/08/28,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n19067,2022/08/28,I prepare indian food for dinner.,I prepare indian food for dinner.\n19068,2022/08/28,\"I spent 20 talking to Rylee, Lydia on various topics in the early afternoon.\",\"I spent 20 talking to Rylee, Lydia on various topics in the early afternoon.\"\n19069,2022/08/28,\"I talked to Rylee, Layla, Olivia, Piper for 43 minutes in the morning.\",\"I talked to Rylee, Layla, Olivia, Piper for 43 minutes in the morning.\"\n19070,2022/08/28,I spent 14 minutes reading social media today.,I spent 14 minutes reading social media today.\n19071,2022/08/28,I watched a documentary for 7 minutes on TV today.,I watched a documentary for 7 minutes on TV today.\n19072,2022/08/29,I did hiking on 2022/08/29.,I did hiking on 2022/08/29.\n19073,2022/08/29,\"I spent 6 talking to Olivia, Hazel, Claire on various topics late in the evening.\",\"I spent 6 talking to Olivia, Hazel, Claire on various topics late in the evening.\"\n19074,2022/08/29,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n19075,2022/08/30,\"I went grocery shopping. I bought some bananas, chocolate milk, apple juice, milk, soda, and facial wash\",\"I went grocery shopping. I bought some bananas, chocolate milk, apple juice, milk, soda, and facial wash\"\n19076,2022/08/30,I did biking on 2022/08/30.,I did biking on 2022/08/30.\n19077,2022/08/30,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n19078,2022/08/30,\"I had indian food for lunch with Carter, Emily, Andrew, Kayden\",\"I had indian food for lunch with Carter, Emily, Andrew, Kayden\"\n19079,2022/08/30,I had a burger for dinner with Avery,I had a burger for dinner with Avery\n19080,2022/08/30,\"I talked to Piper, Nevaeh, Lydia for 15 minutes in the early afternoon.\",\"I talked to Piper, Nevaeh, Lydia for 15 minutes in the early afternoon.\"\n19081,2022/08/30,I spent 19 talking to Piper on various topics late in the evening.,I spent 19 talking to Piper on various topics late in the evening.\n19082,2022/08/30,I spent 41 minutes reading a book today.,I spent 41 minutes reading a book today.\n19083,2022/08/31,\"On 2022/08/31, I took Ian on a date to a coffee Shop\",\"On 2022/08/31, I took Ian on a date to a coffee Shop\"\n19084,2022/08/31,I had sushi for lunch with Kayden,I had sushi for lunch with Kayden\n19085,2022/08/31,I had dinner with Andrew. I ate tacos.,I had dinner with Andrew. I ate tacos.\n19086,2022/08/31,\"I talked to Olivia, Avery, Hazel for 39 minutes in the early evening.\",\"I talked to Olivia, Avery, Hazel for 39 minutes in the early evening.\"\n19087,2022/09/01,I went for an annual vision checkup on 2022/09/01 at the hospital.,I went for an annual vision checkup on 2022/09/01 at the hospital.\n19088,2022/09/01,I did hiking on 2022/09/01.,I did hiking on 2022/09/01.\n19089,2022/09/01,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n19090,2022/09/01,I prepare tacos for lunch.,I prepare tacos for lunch.\n19091,2022/09/01,I had dinner with Emily. I ate tacos.,I had dinner with Emily. I ate tacos.\n19092,2022/09/01,\"I talked to Lydia, Avery, Kinsley for 27 minutes in the early evening.\",\"I talked to Lydia, Avery, Kinsley for 27 minutes in the early evening.\"\n19093,2022/09/01,\"I talked to Piper, Nora, Rylee for 36 minutes in the morning.\",\"I talked to Piper, Nora, Rylee for 36 minutes in the morning.\"\n19094,2022/09/01,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n19095,2022/09/02,I spent some time gardening on 2022/09/02.,I spent some time gardening on 2022/09/02.\n19096,2022/09/02,I did HIIT on 2022/09/02.,I did HIIT on 2022/09/02.\n19097,2022/09/02,\"I had lunch with Kayden, Carter, Emily. I ate indian food.\",\"I had lunch with Kayden, Carter, Emily. I ate indian food.\"\n19098,2022/09/02,I prepare a burger for dinner.,I prepare a burger for dinner.\n19099,2022/09/02,\"I talked to Avery, Kinsley, Olivia, Hazel for 48 minutes during lunch hours.\",\"I talked to Avery, Kinsley, Olivia, Hazel for 48 minutes during lunch hours.\"\n19100,2022/09/02,I spent 26 minutes on social media today.,I spent 26 minutes on social media today.\n19101,2022/09/02,I watched news for 51 minutes on TV today.,I watched news for 51 minutes on TV today.\n19102,2022/09/03,\"I talked to Avery, Claire for 45 minutes late in the evening.\",\"I talked to Avery, Claire for 45 minutes late in the evening.\"\n19103,2022/09/03,I spent 27 minutes reading a book today.,I spent 27 minutes reading a book today.\n19104,2022/09/04,I did hiking on 2022/09/04.,I did hiking on 2022/09/04.\n19105,2022/09/04,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n19106,2022/09/04,\"I spent 53 talking to Kinsley, Piper, Piper on various topics during lunch hours.\",\"I spent 53 talking to Kinsley, Piper, Piper on various topics during lunch hours.\"\n19107,2022/09/04,I spent 26 minutes on news today.,I spent 26 minutes on news today.\n19108,2022/09/05,\"I went grocery shopping. I bought some apricots, apples, pineapples, nectarines, soda, pineapple juice, and mouth wash\",\"I went grocery shopping. I bought some apricots, apples, pineapples, nectarines, soda, pineapple juice, and mouth wash\"\n19109,2022/09/05,I did swimming on 2022/09/05.,I did swimming on 2022/09/05.\n19110,2022/09/05,\"I had breakfast with Andrew, Emily, Carter, Kayden. I ate pancakes.\",\"I had breakfast with Andrew, Emily, Carter, Kayden. I ate pancakes.\"\n19111,2022/09/05,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n19112,2022/09/05,\"I had fish and chips for dinner with Carter, Andrew, Emily\",\"I had fish and chips for dinner with Carter, Andrew, Emily\"\n19113,2022/09/05,\"I talked to Hazel, Kinsley for 17 minutes late in the evening.\",\"I talked to Hazel, Kinsley for 17 minutes late in the evening.\"\n19114,2022/09/06,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n19115,2022/09/06,\"I had lunch with Carter, Kayden, Andrew. I ate fish and chips.\",\"I had lunch with Carter, Kayden, Andrew. I ate fish and chips.\"\n19116,2022/09/06,I ate sushi for dinner.,I ate sushi for dinner.\n19117,2022/09/07,I did running on 2022/09/07.,I did running on 2022/09/07.\n19118,2022/09/07,I had indian food for lunch with Emily,I had indian food for lunch with Emily\n19119,2022/09/07,I had dinner. I ate fish and chips.,I had dinner. I ate fish and chips.\n19120,2022/09/07,\"I spent 22 talking to Kinsley, Olivia, Piper on various topics in the early afternoon.\",\"I spent 22 talking to Kinsley, Olivia, Piper on various topics in the early afternoon.\"\n19121,2022/09/07,\"I talked to Eva, Avery, Piper, Lydia for 5 minutes in the late afternoon.\",\"I talked to Eva, Avery, Piper, Lydia for 5 minutes in the late afternoon.\"\n19122,2022/09/07,I spent 52 minutes on social media today.,I spent 52 minutes on social media today.\n19123,2022/09/07,I watched a documentary for 30 minutes on TV today.,I watched a documentary for 30 minutes on TV today.\n19124,2022/09/08,I spent time yoga on 2022/09/08 with Layla.,I spent time yoga on 2022/09/08 with Layla.\n19125,2022/09/08,\"I went grocery shopping. I bought some watermelons, strawberries, clementines, apples, mineral water, sports drinks, chocolate milk, and shaving cream, mouthwash, toothbrush\",\"I went grocery shopping. I bought some watermelons, strawberries, clementines, apples, mineral water, sports drinks, chocolate milk, and shaving cream, mouthwash, toothbrush\"\n19126,2022/09/08,I did weight lifting on 2022/09/08.,I did weight lifting on 2022/09/08.\n19127,2022/09/08,I had indian food for lunch with Andrew,I had indian food for lunch with Andrew\n19128,2022/09/08,I spent 46 talking to Piper on various topics in the morning.,I spent 46 talking to Piper on various topics in the morning.\n19129,2022/09/08,I spent 25 minutes reading social media today.,I spent 25 minutes reading social media today.\n19130,2022/09/08,I spent 44 minutes watching a documentary on TV today.,I spent 44 minutes watching a documentary on TV today.\n19131,2022/09/09,I did HIIT on 2022/09/09.,I did HIIT on 2022/09/09.\n19132,2022/09/09,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n19133,2022/09/09,\"I talked to Piper, Nora for 32 minutes late in the evening.\",\"I talked to Piper, Nora for 32 minutes late in the evening.\"\n19134,2022/09/09,\"I talked to Piper, Layla, Rylee, Kinsley for 53 minutes in the early evening.\",\"I talked to Piper, Layla, Rylee, Kinsley for 53 minutes in the early evening.\"\n19135,2022/09/09,I spent 21 minutes watching news on TV today.,I spent 21 minutes watching news on TV today.\n19136,2022/09/10,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n19137,2022/09/10,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n19138,2022/09/10,I spent 44 minutes reading a book today.,I spent 44 minutes reading a book today.\n19139,2022/09/10,I spent 20 minutes watching news on TV today.,I spent 20 minutes watching news on TV today.\n19140,2022/09/11,I prepare toast and cheese for breakfast.,I prepare toast and cheese for breakfast.\n19141,2022/09/11,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n19142,2022/09/11,\"I had steak for dinner with Willow, Benjamin\",\"I had steak for dinner with Willow, Benjamin\"\n19143,2022/09/11,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n19144,2022/09/11,I watched news for 20 minutes on TV today.,I watched news for 20 minutes on TV today.\n19145,2022/09/12,I really enjoyed gardening on 2022/09/12,I really enjoyed gardening on 2022/09/12\n19146,2022/09/12,I did swimming on 2022/09/12.,I did swimming on 2022/09/12.\n19147,2022/09/12,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n19148,2022/09/12,\"I talked to Olivia, Layla for 6 minutes in the early afternoon.\",\"I talked to Olivia, Layla for 6 minutes in the early afternoon.\"\n19149,2022/09/13,I went on a date with Ellie on 2022/09/13 at a restaurant,I went on a date with Ellie on 2022/09/13 at a restaurant\n19150,2022/09/13,I did HIIT on 2022/09/13.,I did HIIT on 2022/09/13.\n19151,2022/09/13,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n19152,2022/09/13,I prepare tacos for lunch.,I prepare tacos for lunch.\n19153,2022/09/13,\"I talked to Piper, Eva, Nevaeh for 38 minutes in the morning.\",\"I talked to Piper, Eva, Nevaeh for 38 minutes in the morning.\"\n19154,2022/09/14,I did weight lifting on 2022/09/14.,I did weight lifting on 2022/09/14.\n19155,2022/09/14,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n19156,2022/09/14,I had a burger for dinner with Kayden,I had a burger for dinner with Kayden\n19157,2022/09/14,I talked to Rylee for 49 minutes during lunch hours.,I talked to Rylee for 49 minutes during lunch hours.\n19158,2022/09/14,I spent 28 minutes on social media today.,I spent 28 minutes on social media today.\n19159,2022/09/14,I spent 42 minutes watching news on TV today.,I spent 42 minutes watching news on TV today.\n19160,2022/09/15,I prepare pasta for lunch.,I prepare pasta for lunch.\n19161,2022/09/15,\"I had dinner with Kayden, Carter, Emily, Andrew. I ate fish and chips.\",\"I had dinner with Kayden, Carter, Emily, Andrew. I ate fish and chips.\"\n19162,2022/09/16,I did hiking on 2022/09/16.,I did hiking on 2022/09/16.\n19163,2022/09/16,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n19164,2022/09/16,\"I talked to Avery, Nevaeh, Hazel, Nora for 21 minutes during lunch hours.\",\"I talked to Avery, Nevaeh, Hazel, Nora for 21 minutes during lunch hours.\"\n19165,2022/09/16,I spent 33 minutes on social media today.,I spent 33 minutes on social media today.\n19166,2022/09/17,I ate chinese food for dinner.,I ate chinese food for dinner.\n19167,2022/09/17,I spent 39 talking to Kinsley on various topics in the late afternoon.,I spent 39 talking to Kinsley on various topics in the late afternoon.\n19168,2022/09/17,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n19169,2022/09/18,I did hiking on 2022/09/18.,I did hiking on 2022/09/18.\n19170,2022/09/18,\"I had breakfast with Hazel, Lydia, Rylee, Olivia, Eva, Kinsley, Avery, Nevaeh, Claire, Piper. I ate pancakes.\",\"I had breakfast with Hazel, Lydia, Rylee, Olivia, Eva, Kinsley, Avery, Nevaeh, Claire, Piper. I ate pancakes.\"\n19171,2022/09/18,\"I had lunch with Emily, Kayden. I ate fish and chips.\",\"I had lunch with Emily, Kayden. I ate fish and chips.\"\n19172,2022/09/18,I ate sandwich for dinner.,I ate sandwich for dinner.\n19173,2022/09/18,I spent 51 talking to Olivia on various topics in the early evening.,I spent 51 talking to Olivia on various topics in the early evening.\n19174,2022/09/18,I spent 9 minutes reading news today.,I spent 9 minutes reading news today.\n19175,2022/09/19,\"I bought some cherres, guava, pears, clementines, soda, tea, toilet paper online.\",\"I bought some cherres, guava, pears, clementines, soda, tea, toilet paper online.\"\n19176,2022/09/20,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n19177,2022/09/20,\"I had dinner with Andrew, Emily. I ate chinese food.\",\"I had dinner with Andrew, Emily. I ate chinese food.\"\n19178,2022/09/20,\"I talked to Layla, Piper for 44 minutes in the late afternoon.\",\"I talked to Layla, Piper for 44 minutes in the late afternoon.\"\n19179,2022/09/21,I did weight lifting on 2022/09/21.,I did weight lifting on 2022/09/21.\n19180,2022/09/21,I had dinner. I ate steak.,I had dinner. I ate steak.\n19181,2022/09/21,\"I spent 26 talking to Piper, Nevaeh, Rylee, Claire on various topics late in the evening.\",\"I spent 26 talking to Piper, Nevaeh, Rylee, Claire on various topics late in the evening.\"\n19182,2022/09/21,I spent 21 minutes reading social media today.,I spent 21 minutes reading social media today.\n19183,2022/09/22,\"I had lunch with Eva, Layla, Olivia, Rylee, Nevaeh, Kinsley, Claire, Avery, Hazel, Nora, Piper, Lydia. I ate fish and chips.\",\"I had lunch with Eva, Layla, Olivia, Rylee, Nevaeh, Kinsley, Claire, Avery, Hazel, Nora, Piper, Lydia. I ate fish and chips.\"\n19184,2022/09/22,I watched a documentary for 11 minutes on TV today.,I watched a documentary for 11 minutes on TV today.\n19185,2022/09/23,I spent some time meditation on 2022/09/23.,I spent some time meditation on 2022/09/23.\n19186,2022/09/23,\"I bought some nectarines, watermelons, mango juice, mouthwash, body lotion, conditioner, toothbrush online.\",\"I bought some nectarines, watermelons, mango juice, mouthwash, body lotion, conditioner, toothbrush online.\"\n19187,2022/09/23,I did hiking on 2022/09/23.,I did hiking on 2022/09/23.\n19188,2022/09/23,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n19189,2022/09/23,I spent 22 minutes reading a book today.,I spent 22 minutes reading a book today.\n19190,2022/09/23,I spent 39 minutes watching news on TV today.,I spent 39 minutes watching news on TV today.\n19191,2022/09/24,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n19192,2022/09/24,I talked to Nevaeh for 15 minutes in the early afternoon.,I talked to Nevaeh for 15 minutes in the early afternoon.\n19193,2022/09/24,I spent 53 minutes on news today.,I spent 53 minutes on news today.\n19194,2022/09/25,\"I had sushi for lunch with Emily, Carter, Andrew, Kayden\",\"I had sushi for lunch with Emily, Carter, Andrew, Kayden\"\n19195,2022/09/25,\"I spent 32 talking to Avery, Lydia, Eva, Olivia on various topics late in the evening.\",\"I spent 32 talking to Avery, Lydia, Eva, Olivia on various topics late in the evening.\"\n19196,2022/09/25,I spent 20 minutes on social media today.,I spent 20 minutes on social media today.\n19197,2022/09/25,I watched a tv series for 55 minutes on TV today.,I watched a tv series for 55 minutes on TV today.\n19198,2022/09/26,\"I went grocery shopping with Avery, Jackson. I bought some mangos, pineapples, apricots, mandarins, mineral water, chocolate milk, tea, mango juice, and shaving cream\",\"I went grocery shopping with Avery, Jackson. I bought some mangos, pineapples, apricots, mandarins, mineral water, chocolate milk, tea, mango juice, and shaving cream\"\n19199,2022/09/26,I ate a burger for lunch.,I ate a burger for lunch.\n19200,2022/09/26,I prepare chinese food for dinner.,I prepare chinese food for dinner.\n19201,2022/09/26,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n19202,2022/09/26,I watched a tv series for 11 minutes on TV today.,I watched a tv series for 11 minutes on TV today.\n19203,2022/09/27,I did running on 2022/09/27.,I did running on 2022/09/27.\n19204,2022/09/27,\"I had breakfast with Avery, Rylee. I ate peanut-butter-jam.\",\"I had breakfast with Avery, Rylee. I ate peanut-butter-jam.\"\n19205,2022/09/27,I prepare tacos for lunch.,I prepare tacos for lunch.\n19206,2022/09/27,\"I spent 46 talking to Lydia, Kinsley on various topics late in the evening.\",\"I spent 46 talking to Lydia, Kinsley on various topics late in the evening.\"\n19207,2022/09/27,I spent 28 minutes watching a tv series on TV today.,I spent 28 minutes watching a tv series on TV today.\n19208,2022/09/28,\"I had peanut-butter-jam for breakfast with Avery, Nevaeh, Rylee, Claire, Piper, Hazel, Kinsley, Layla, Piper, Olivia, Eva, Lydia, Nora\",\"I had peanut-butter-jam for breakfast with Avery, Nevaeh, Rylee, Claire, Piper, Hazel, Kinsley, Layla, Piper, Olivia, Eva, Lydia, Nora\"\n19209,2022/09/28,I had dinner. I ate steak.,I had dinner. I ate steak.\n19210,2022/09/28,\"I talked to Kinsley, Claire, Lydia for 48 minutes in the late afternoon.\",\"I talked to Kinsley, Claire, Lydia for 48 minutes in the late afternoon.\"\n19211,2022/09/28,I watched a documentary for 23 minutes on TV today.,I watched a documentary for 23 minutes on TV today.\n19212,2022/09/29,I spent time working out on 2022/09/29 with Carter.,I spent time working out on 2022/09/29 with Carter.\n19213,2022/09/29,I did HIIT on 2022/09/29.,I did HIIT on 2022/09/29.\n19214,2022/09/29,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n19215,2022/09/29,\"I spent 14 talking to Piper, Eva, Rylee on various topics during lunch hours.\",\"I spent 14 talking to Piper, Eva, Rylee on various topics during lunch hours.\"\n19216,2022/09/29,\"I spent 29 talking to Olivia, Layla, Lydia, Hazel on various topics in the late afternoon.\",\"I spent 29 talking to Olivia, Layla, Lydia, Hazel on various topics in the late afternoon.\"\n19217,2022/09/29,I spent 28 minutes watching news on TV today.,I spent 28 minutes watching news on TV today.\n19218,2022/09/30,I had dinner with Kayden. I ate sandwich.,I had dinner with Kayden. I ate sandwich.\n19219,2022/09/30,I talked to Rylee for 32 minutes in the early afternoon.,I talked to Rylee for 32 minutes in the early afternoon.\n19220,2022/09/30,I spent 14 minutes on a book today.,I spent 14 minutes on a book today.\n19221,2022/10/01,Kayden for his/her  and I went for an annual physical checkup at the hospital on 2022/10/01.,Kayden for his/her  and I went for an annual physical checkup at the hospital on 2022/10/01.\n19222,2022/10/01,I prepare cereals for breakfast.,I prepare cereals for breakfast.\n19223,2022/10/01,I prepare chinese food for lunch.,I prepare chinese food for lunch.\n19224,2022/10/01,I talked to Lydia for 53 minutes late in the evening.,I talked to Lydia for 53 minutes late in the evening.\n19225,2022/10/01,I talked to Claire for 18 minutes in the late afternoon.,I talked to Claire for 18 minutes in the late afternoon.\n19226,2022/10/01,I spent 41 minutes on a book today.,I spent 41 minutes on a book today.\n19227,2022/10/02,I ate chinese food for dinner.,I ate chinese food for dinner.\n19228,2022/10/02,I spent 19 minutes on news today.,I spent 19 minutes on news today.\n19229,2022/10/02,I watched a movie for 15 minutes on TV today.,I watched a movie for 15 minutes on TV today.\n19230,2022/10/03,I did HIIT on 2022/10/03.,I did HIIT on 2022/10/03.\n19231,2022/10/03,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n19232,2022/10/03,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n19233,2022/10/03,I spent 48 minutes reading a book today.,I spent 48 minutes reading a book today.\n19234,2022/10/04,\"I had dinner with Willow, Benjamin, Avery. I ate steak.\",\"I had dinner with Willow, Benjamin, Avery. I ate steak.\"\n19235,2022/10/04,I spent 32 talking to Claire on various topics during lunch hours.,I spent 32 talking to Claire on various topics during lunch hours.\n19236,2022/10/04,\"I spent 17 talking to Olivia, Rylee, Piper on various topics late in the evening.\",\"I spent 17 talking to Olivia, Rylee, Piper on various topics late in the evening.\"\n19237,2022/10/04,I spent 44 minutes on a book today.,I spent 44 minutes on a book today.\n19238,2022/10/05,I did swimming on 2022/10/05.,I did swimming on 2022/10/05.\n19239,2022/10/05,I had breakfast with Andrew. I ate peanut-butter-jam.,I had breakfast with Andrew. I ate peanut-butter-jam.\n19240,2022/10/05,\"I spent 20 talking to Kinsley, Nevaeh, Hazel on various topics in the late afternoon.\",\"I spent 20 talking to Kinsley, Nevaeh, Hazel on various topics in the late afternoon.\"\n19241,2022/10/05,I spent 44 minutes on social media today.,I spent 44 minutes on social media today.\n19242,2022/10/06,\"I bought some oranges, pineapples, pears, blueberries, pineapple juice, toothbrush, mouth wash, body lotion, conditioner from the grocery store. I saw Willow, Benjamin, Jackson, Avery at the grocery store.\",\"I bought some oranges, pineapples, pears, blueberries, pineapple juice, toothbrush, mouth wash, body lotion, conditioner from the grocery store. I saw Willow, Benjamin, Jackson, Avery at the grocery store.\"\n19243,2022/10/06,I did HIIT on 2022/10/06.,I did HIIT on 2022/10/06.\n19244,2022/10/06,\"I had lunch with Andrew, Carter. I ate tacos.\",\"I had lunch with Andrew, Carter. I ate tacos.\"\n19245,2022/10/06,\"I spent 48 talking to Piper, Kinsley, Lydia on various topics during lunch hours.\",\"I spent 48 talking to Piper, Kinsley, Lydia on various topics during lunch hours.\"\n19246,2022/10/06,I spent 11 minutes reading social media today.,I spent 11 minutes reading social media today.\n19247,2022/10/07,I did running on 2022/10/07.,I did running on 2022/10/07.\n19248,2022/10/07,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n19249,2022/10/07,I spent 22 minutes watching a documentary on TV today.,I spent 22 minutes watching a documentary on TV today.\n19250,2022/10/08,I did swimming on 2022/10/08.,I did swimming on 2022/10/08.\n19251,2022/10/08,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n19252,2022/10/08,I spent 40 talking to Nevaeh on various topics during lunch hours.,I spent 40 talking to Nevaeh on various topics during lunch hours.\n19253,2022/10/08,I spent 23 minutes reading news today.,I spent 23 minutes reading news today.\n19254,2022/10/08,I spent 50 minutes watching a tv series on TV today.,I spent 50 minutes watching a tv series on TV today.\n19255,2022/10/09,\"I really enjoyed baking cranberry apple danish, cinnamon sheet cake with cider frosting on 2022/10/09 with Carter, Andrew, Emily at my place\",\"I really enjoyed baking cranberry apple danish, cinnamon sheet cake with cider frosting on 2022/10/09 with Carter, Andrew, Emily at my place\"\n19256,2022/10/09,I did biking on 2022/10/09.,I did biking on 2022/10/09.\n19257,2022/10/09,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n19258,2022/10/09,\"I spent 38 talking to Hazel, Piper on various topics in the early evening.\",\"I spent 38 talking to Hazel, Piper on various topics in the early evening.\"\n19259,2022/10/09,I spent 17 minutes on news today.,I spent 17 minutes on news today.\n19260,2022/10/09,I watched a tv series for 22 minutes on TV today.,I watched a tv series for 22 minutes on TV today.\n19261,2022/10/10,\"I had lunch with Kayden, Carter, Andrew, Emily. I ate sandwich.\",\"I had lunch with Kayden, Carter, Andrew, Emily. I ate sandwich.\"\n19262,2022/10/10,I ate sushi for dinner.,I ate sushi for dinner.\n19263,2022/10/10,\"I spent 36 talking to Piper, Piper, Claire on various topics in the early afternoon.\",\"I spent 36 talking to Piper, Piper, Claire on various topics in the early afternoon.\"\n19264,2022/10/10,I spent 15 minutes on a book today.,I spent 15 minutes on a book today.\n19265,2022/10/11,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n19266,2022/10/11,\"I had dinner with Kayden, Andrew. I ate a burger.\",\"I had dinner with Kayden, Andrew. I ate a burger.\"\n19267,2022/10/11,I talked to Piper for 20 minutes during lunch hours.,I talked to Piper for 20 minutes during lunch hours.\n19268,2022/10/11,I spent 39 talking to Piper on various topics in the early evening.,I spent 39 talking to Piper on various topics in the early evening.\n19269,2022/10/11,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n19270,2022/10/12,\"I had breakfast with Hazel, Avery, Rylee, Layla, Kinsley, Nevaeh, Lydia, Claire, Piper, Olivia, Eva. I ate eggs, sausages, and bread.\",\"I had breakfast with Hazel, Avery, Rylee, Layla, Kinsley, Nevaeh, Lydia, Claire, Piper, Olivia, Eva. I ate eggs, sausages, and bread.\"\n19271,2022/10/12,\"I had sandwich for dinner with Benjamin, Jackson\",\"I had sandwich for dinner with Benjamin, Jackson\"\n19272,2022/10/12,\"I spent 49 talking to Hazel, Eva on various topics in the morning.\",\"I spent 49 talking to Hazel, Eva on various topics in the morning.\"\n19273,2022/10/12,I talked to Piper for 24 minutes in the late afternoon.,I talked to Piper for 24 minutes in the late afternoon.\n19274,2022/10/12,I spent 25 minutes on social media today.,I spent 25 minutes on social media today.\n19275,2022/10/13,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n19276,2022/10/13,I had lunch. I ate steak.,I had lunch. I ate steak.\n19277,2022/10/13,I spent 44 minutes reading news today.,I spent 44 minutes reading news today.\n19278,2022/10/13,I spent 49 minutes watching a tv series on TV today.,I spent 49 minutes watching a tv series on TV today.\n19279,2022/10/14,I did swimming on 2022/10/14.,I did swimming on 2022/10/14.\n19280,2022/10/14,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n19281,2022/10/14,\"I had steak for dinner with Lydia, Kinsley, Nevaeh, Claire, Rylee, Eva, Olivia, Nora, Avery, Piper, Hazel, Layla\",\"I had steak for dinner with Lydia, Kinsley, Nevaeh, Claire, Rylee, Eva, Olivia, Nora, Avery, Piper, Hazel, Layla\"\n19282,2022/10/14,I talked to Lydia for 15 minutes in the late afternoon.,I talked to Lydia for 15 minutes in the late afternoon.\n19283,2022/10/14,\"I spent 18 talking to Eva, Avery on various topics during lunch hours.\",\"I spent 18 talking to Eva, Avery on various topics during lunch hours.\"\n19284,2022/10/15,I did hiking on 2022/10/15.,I did hiking on 2022/10/15.\n19285,2022/10/15,I had dinner with Kinsley. I ate steak.,I had dinner with Kinsley. I ate steak.\n19286,2022/10/15,I spent 17 minutes watching a movie on TV today.,I spent 17 minutes watching a movie on TV today.\n19287,2022/10/16,I did running on 2022/10/16.,I did running on 2022/10/16.\n19288,2022/10/16,\"I had breakfast with Jackson, Willow. I ate oatmeal.\",\"I had breakfast with Jackson, Willow. I ate oatmeal.\"\n19289,2022/10/16,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n19290,2022/10/16,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n19291,2022/10/17,I did swimming on 2022/10/17.,I did swimming on 2022/10/17.\n19292,2022/10/17,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n19293,2022/10/17,\"I had lunch with Avery, Jackson, Willow. I ate sandwich.\",\"I had lunch with Avery, Jackson, Willow. I ate sandwich.\"\n19294,2022/10/18,I did hiking on 2022/10/18.,I did hiking on 2022/10/18.\n19295,2022/10/18,\"I had a burger for dinner with Kayden, Emily\",\"I had a burger for dinner with Kayden, Emily\"\n19296,2022/10/18,\"I spent 15 talking to Piper, Nora, Piper on various topics in the late afternoon.\",\"I spent 15 talking to Piper, Nora, Piper on various topics in the late afternoon.\"\n19297,2022/10/19,\"I bought some strawberries, soda, pineapple juice, chocolate milk, shaving cream, toilet paper, mouthwash, shampoo from the grocery store. I saw Emily, Andrew, Carter at the grocery store.\",\"I bought some strawberries, soda, pineapple juice, chocolate milk, shaving cream, toilet paper, mouthwash, shampoo from the grocery store. I saw Emily, Andrew, Carter at the grocery store.\"\n19298,2022/10/19,I did weight lifting on 2022/10/19.,I did weight lifting on 2022/10/19.\n19299,2022/10/19,\"I spent 32 talking to Rylee, Claire, Lydia, Piper on various topics late in the evening.\",\"I spent 32 talking to Rylee, Claire, Lydia, Piper on various topics late in the evening.\"\n19300,2022/10/19,I spent 46 minutes on a book today.,I spent 46 minutes on a book today.\n19301,2022/10/19,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n19302,2022/10/20,I prepare pasta for lunch.,I prepare pasta for lunch.\n19303,2022/10/20,I had dinner with Kayden. I ate sushi.,I had dinner with Kayden. I ate sushi.\n19304,2022/10/20,\"I spent 35 talking to Kinsley, Nora on various topics in the early evening.\",\"I spent 35 talking to Kinsley, Nora on various topics in the early evening.\"\n19305,2022/10/20,I spent 23 minutes on a book today.,I spent 23 minutes on a book today.\n19306,2022/10/21,\"I was cooking creamed garden potatoes and peas, general tso’s chicken on 2022/10/21 with Piper, Kinsley, Layla, Piper at my place\",\"I was cooking creamed garden potatoes and peas, general tso’s chicken on 2022/10/21 with Piper, Kinsley, Layla, Piper at my place\"\n19307,2022/10/21,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n19308,2022/10/21,\"I talked to Piper, Eva for 32 minutes in the morning.\",\"I talked to Piper, Eva for 32 minutes in the morning.\"\n19309,2022/10/21,I spent 49 minutes reading social media today.,I spent 49 minutes reading social media today.\n19310,2022/10/22,\"I went grocery shopping. I bought some bananas, mandarins, apple juice, mineral water, sports drinks, soda, and facial wash, paper towel, shaving cream\",\"I went grocery shopping. I bought some bananas, mandarins, apple juice, mineral water, sports drinks, soda, and facial wash, paper towel, shaving cream\"\n19311,2022/10/22,I did running on 2022/10/22.,I did running on 2022/10/22.\n19312,2022/10/22,\"I had a burger for lunch with Jackson, Willow, Avery\",\"I had a burger for lunch with Jackson, Willow, Avery\"\n19313,2022/10/22,\"I spent 38 talking to Kinsley, Nevaeh, Olivia on various topics in the morning.\",\"I spent 38 talking to Kinsley, Nevaeh, Olivia on various topics in the morning.\"\n19314,2022/10/22,I spent 30 talking to Nora on various topics late in the evening.,I spent 30 talking to Nora on various topics late in the evening.\n19315,2022/10/22,I spent 6 minutes watching news on TV today.,I spent 6 minutes watching news on TV today.\n19316,2022/10/23,I did running on 2022/10/23.,I did running on 2022/10/23.\n19317,2022/10/23,\"I had dinner with Kinsley, Nevaeh, Olivia, Lydia, Rylee, Piper, Piper, Nora, Claire, Avery, Layla. I ate pasta.\",\"I had dinner with Kinsley, Nevaeh, Olivia, Lydia, Rylee, Piper, Piper, Nora, Claire, Avery, Layla. I ate pasta.\"\n19318,2022/10/23,I spent 17 minutes on social media today.,I spent 17 minutes on social media today.\n19319,2022/10/23,I watched a tv series for 39 minutes on TV today.,I watched a tv series for 39 minutes on TV today.\n19320,2022/10/24,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n19321,2022/10/24,\"I had tacos for dinner with Piper, Piper, Eva, Layla, Nevaeh\",\"I had tacos for dinner with Piper, Piper, Eva, Layla, Nevaeh\"\n19322,2022/10/24,\"I talked to Piper, Layla, Rylee, Nevaeh for 43 minutes in the morning.\",\"I talked to Piper, Layla, Rylee, Nevaeh for 43 minutes in the morning.\"\n19323,2022/10/25,\"I bought some guava, clementines, cherres, blackberries, coffee, chocolate milk, mango juice, mineral water, shampoo online.\",\"I bought some guava, clementines, cherres, blackberries, coffee, chocolate milk, mango juice, mineral water, shampoo online.\"\n19324,2022/10/25,I did running on 2022/10/25.,I did running on 2022/10/25.\n19325,2022/10/25,I had lunch. I ate sushi.,I had lunch. I ate sushi.\n19326,2022/10/25,\"I spent 22 talking to Kinsley, Piper on various topics in the late afternoon.\",\"I spent 22 talking to Kinsley, Piper on various topics in the late afternoon.\"\n19327,2022/10/25,I spent 42 minutes reading a book today.,I spent 42 minutes reading a book today.\n19328,2022/10/26,I did HIIT on 2022/10/26.,I did HIIT on 2022/10/26.\n19329,2022/10/26,\"I had toast and cheese for breakfast with Piper, Layla, Claire, Nora, Kinsley, Nevaeh, Lydia, Olivia, Hazel, Eva\",\"I had toast and cheese for breakfast with Piper, Layla, Claire, Nora, Kinsley, Nevaeh, Lydia, Olivia, Hazel, Eva\"\n19330,2022/10/26,\"I had steak for dinner with Olivia, Nevaeh, Lydia, Claire, Eva\",\"I had steak for dinner with Olivia, Nevaeh, Lydia, Claire, Eva\"\n19331,2022/10/26,\"I spent 20 talking to Layla, Rylee, Nevaeh, Eva on various topics late in the evening.\",\"I spent 20 talking to Layla, Rylee, Nevaeh, Eva on various topics late in the evening.\"\n19332,2022/10/27,I did HIIT on 2022/10/27.,I did HIIT on 2022/10/27.\n19333,2022/10/27,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n19334,2022/10/27,I ate tacos for dinner.,I ate tacos for dinner.\n19335,2022/10/27,I spent 33 minutes watching a documentary on TV today.,I spent 33 minutes watching a documentary on TV today.\n19336,2022/10/28,I did hiking on 2022/10/28.,I did hiking on 2022/10/28.\n19337,2022/10/28,\"I had breakfast. I ate eggs, sausages, and bread.\",\"I had breakfast. I ate eggs, sausages, and bread.\"\n19338,2022/10/28,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n19339,2022/10/28,\"I spent 34 talking to Piper, Eva, Piper, Lydia on various topics in the late afternoon.\",\"I spent 34 talking to Piper, Eva, Piper, Lydia on various topics in the late afternoon.\"\n19340,2022/10/29,\"I bought some cherres, pears, chocolate milk, mouthwash, conditioner, paper towel, facial wash from the grocery store. I saw Kayden, Andrew, Carter, Emily at the grocery store.\",\"I bought some cherres, pears, chocolate milk, mouthwash, conditioner, paper towel, facial wash from the grocery store. I saw Kayden, Andrew, Carter, Emily at the grocery store.\"\n19341,2022/10/29,I did weight lifting on 2022/10/29.,I did weight lifting on 2022/10/29.\n19342,2022/10/29,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n19343,2022/10/29,I talked to Piper for 18 minutes late in the evening.,I talked to Piper for 18 minutes late in the evening.\n19344,2022/10/29,I spent 37 minutes reading social media today.,I spent 37 minutes reading social media today.\n19345,2022/10/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n19346,2022/10/30,\"I spent 24 talking to Rylee, Piper, Layla, Hazel on various topics late in the evening.\",\"I spent 24 talking to Rylee, Piper, Layla, Hazel on various topics late in the evening.\"\n19347,2022/10/30,I watched a movie for 17 minutes on TV today.,I watched a movie for 17 minutes on TV today.\n19348,2022/10/31,I did biking on 2022/10/31.,I did biking on 2022/10/31.\n19349,2022/10/31,I spent 14 minutes watching a tv series on TV today.,I spent 14 minutes watching a tv series on TV today.\n19350,2022/11/01,I did hiking on 2022/11/01.,I did hiking on 2022/11/01.\n19351,2022/11/01,I had dinner. I ate sushi.,I had dinner. I ate sushi.\n19352,2022/11/01,I talked to Piper for 12 minutes in the morning.,I talked to Piper for 12 minutes in the morning.\n19353,2022/11/02,\"I bought some bananas, oranges, peaches, strawberries, milk, pineapple juice, sports drinks, toilet paper, shaving cream, shampoo online.\",\"I bought some bananas, oranges, peaches, strawberries, milk, pineapple juice, sports drinks, toilet paper, shaving cream, shampoo online.\"\n19354,2022/11/02,I did weight lifting on 2022/11/02.,I did weight lifting on 2022/11/02.\n19355,2022/11/02,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n19356,2022/11/02,\"I talked to Piper, Rylee for 39 minutes in the early evening.\",\"I talked to Piper, Rylee for 39 minutes in the early evening.\"\n19357,2022/11/02,I spent 15 minutes reading social media today.,I spent 15 minutes reading social media today.\n19358,2022/11/02,I spent 54 minutes watching a tv series on TV today.,I spent 54 minutes watching a tv series on TV today.\n19359,2022/11/03,I did weight lifting on 2022/11/03.,I did weight lifting on 2022/11/03.\n19360,2022/11/03,\"I ate eggs, sausages, and bread for breakfast.\",\"I ate eggs, sausages, and bread for breakfast.\"\n19361,2022/11/03,\"I talked to Layla, Hazel for 48 minutes in the morning.\",\"I talked to Layla, Hazel for 48 minutes in the morning.\"\n19362,2022/11/03,\"I spent 40 talking to Rylee, Eva, Hazel on various topics in the early evening.\",\"I spent 40 talking to Rylee, Eva, Hazel on various topics in the early evening.\"\n19363,2022/11/03,I spent 17 minutes reading social media today.,I spent 17 minutes reading social media today.\n19364,2022/11/03,I watched a tv series for 13 minutes on TV today.,I watched a tv series for 13 minutes on TV today.\n19365,2022/11/04,\"On 2022/11/04, I took Kinsley on a date to a park\",\"On 2022/11/04, I took Kinsley on a date to a park\"\n19366,2022/11/04,I did HIIT on 2022/11/04.,I did HIIT on 2022/11/04.\n19367,2022/11/04,I ate oatmeal for breakfast.,I ate oatmeal for breakfast.\n19368,2022/11/04,I prepare pasta for lunch.,I prepare pasta for lunch.\n19369,2022/11/04,\"I had indian food for dinner with Andrew, Carter\",\"I had indian food for dinner with Andrew, Carter\"\n19370,2022/11/04,\"I spent 38 talking to Lydia, Kinsley, Piper, Nevaeh on various topics in the late afternoon.\",\"I spent 38 talking to Lydia, Kinsley, Piper, Nevaeh on various topics in the late afternoon.\"\n19371,2022/11/04,I talked to Avery for 47 minutes in the late afternoon.,I talked to Avery for 47 minutes in the late afternoon.\n19372,2022/11/04,I watched a documentary for 6 minutes on TV today.,I watched a documentary for 6 minutes on TV today.\n19373,2022/11/05,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n19374,2022/11/05,\"I spent 11 talking to Avery, Lydia on various topics in the morning.\",\"I spent 11 talking to Avery, Lydia on various topics in the morning.\"\n19375,2022/11/05,I spent 30 minutes on a book today.,I spent 30 minutes on a book today.\n19376,2022/11/05,I spent 42 minutes watching a movie on TV today.,I spent 42 minutes watching a movie on TV today.\n19377,2022/11/06,\"I bought some apricots, pears, blueberries, clementines, guava juice, apple juice, chocolate milk, mineral water, facial wash online.\",\"I bought some apricots, pears, blueberries, clementines, guava juice, apple juice, chocolate milk, mineral water, facial wash online.\"\n19378,2022/11/06,I did swimming on 2022/11/06.,I did swimming on 2022/11/06.\n19379,2022/11/06,\"I spent 40 talking to Rylee, Piper on various topics in the early evening.\",\"I spent 40 talking to Rylee, Piper on various topics in the early evening.\"\n19380,2022/11/06,I spent 36 minutes on social media today.,I spent 36 minutes on social media today.\n19381,2022/11/06,I watched news for 45 minutes on TV today.,I watched news for 45 minutes on TV today.\n19382,2022/11/07,I went on a date with John on 2022/11/07 at a park,I went on a date with John on 2022/11/07 at a park\n19383,2022/11/07,I did biking on 2022/11/07.,I did biking on 2022/11/07.\n19384,2022/11/07,I had breakfast with Kayden. I ate toast and cheese.,I had breakfast with Kayden. I ate toast and cheese.\n19385,2022/11/07,\"I spent 18 talking to Hazel, Nevaeh, Layla on various topics late in the evening.\",\"I spent 18 talking to Hazel, Nevaeh, Layla on various topics late in the evening.\"\n19386,2022/11/08,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n19387,2022/11/08,I spent 52 talking to Kinsley on various topics in the late afternoon.,I spent 52 talking to Kinsley on various topics in the late afternoon.\n19388,2022/11/08,I spent 46 minutes on news today.,I spent 46 minutes on news today.\n19389,2022/11/08,I spent 42 minutes watching a documentary on TV today.,I spent 42 minutes watching a documentary on TV today.\n19390,2022/11/09,I did hiking on 2022/11/09.,I did hiking on 2022/11/09.\n19391,2022/11/09,I ate steak for lunch.,I ate steak for lunch.\n19392,2022/11/09,\"I spent 8 talking to Claire, Piper, Eva on various topics late in the evening.\",\"I spent 8 talking to Claire, Piper, Eva on various topics late in the evening.\"\n19393,2022/11/09,I spent 35 minutes on news today.,I spent 35 minutes on news today.\n19394,2022/11/10,I did biking on 2022/11/10.,I did biking on 2022/11/10.\n19395,2022/11/10,\"I had lunch with Kayden, Emily. I ate indian food.\",\"I had lunch with Kayden, Emily. I ate indian food.\"\n19396,2022/11/10,\"I spent 23 talking to Hazel, Lydia on various topics in the late afternoon.\",\"I spent 23 talking to Hazel, Lydia on various topics in the late afternoon.\"\n19397,2022/11/10,I talked to Piper for 28 minutes in the late afternoon.,I talked to Piper for 28 minutes in the late afternoon.\n19398,2022/11/10,I spent 18 minutes reading news today.,I spent 18 minutes reading news today.\n19399,2022/11/11,\"I bought some peaches, guava, strawberries, orange juice, pineapple juice, mango juice, shampoo, mouthwash online.\",\"I bought some peaches, guava, strawberries, orange juice, pineapple juice, mango juice, shampoo, mouthwash online.\"\n19400,2022/11/11,I spent 52 talking to Nora on various topics late in the evening.,I spent 52 talking to Nora on various topics late in the evening.\n19401,2022/11/11,I spent 37 minutes on news today.,I spent 37 minutes on news today.\n19402,2022/11/11,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n19403,2022/11/12,I prepare tacos for lunch.,I prepare tacos for lunch.\n19404,2022/11/12,I had dinner with Avery. I ate indian food.,I had dinner with Avery. I ate indian food.\n19405,2022/11/12,I spent 19 minutes reading a book today.,I spent 19 minutes reading a book today.\n19406,2022/11/13,I did HIIT on 2022/11/13.,I did HIIT on 2022/11/13.\n19407,2022/11/13,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n19408,2022/11/13,\"I talked to Piper, Avery for 43 minutes in the morning.\",\"I talked to Piper, Avery for 43 minutes in the morning.\"\n19409,2022/11/13,I spent 46 talking to Piper on various topics during lunch hours.,I spent 46 talking to Piper on various topics during lunch hours.\n19410,2022/11/13,I spent 51 minutes reading social media today.,I spent 51 minutes reading social media today.\n19411,2022/11/14,\"I really enjoyed baking dessert nachos, cranberry apple danish, gluten-free apple rose tart on 2022/11/14 with Rylee, Piper at my place\",\"I really enjoyed baking dessert nachos, cranberry apple danish, gluten-free apple rose tart on 2022/11/14 with Rylee, Piper at my place\"\n19412,2022/11/14,\"On 2022/11/14, I took Leo on a date to a boba shop\",\"On 2022/11/14, I took Leo on a date to a boba shop\"\n19413,2022/11/14,\"I went grocery shopping. I bought some bananas, strawberries, clementines, watermelons, mineral water, soda, orange juice, and facial wash, shaving cream, toothpaste\",\"I went grocery shopping. I bought some bananas, strawberries, clementines, watermelons, mineral water, soda, orange juice, and facial wash, shaving cream, toothpaste\"\n19414,2022/11/14,\"I had chinese food for dinner with Piper, Lydia, Olivia, Claire, Kinsley, Piper, Avery, Hazel, Rylee\",\"I had chinese food for dinner with Piper, Lydia, Olivia, Claire, Kinsley, Piper, Avery, Hazel, Rylee\"\n19415,2022/11/15,\"On 2022/11/15, I took Robert on a date to a coffee Shop\",\"On 2022/11/15, I took Robert on a date to a coffee Shop\"\n19416,2022/11/15,\"I went grocery shopping with Jackson, Benjamin. I bought some blueberries, clementines, apple juice, coffee, pineapple juice, tea, and toothpaste\",\"I went grocery shopping with Jackson, Benjamin. I bought some blueberries, clementines, apple juice, coffee, pineapple juice, tea, and toothpaste\"\n19417,2022/11/15,I ate peanut-butter-jam for breakfast.,I ate peanut-butter-jam for breakfast.\n19418,2022/11/15,I had lunch. I ate pasta.,I had lunch. I ate pasta.\n19419,2022/11/15,I spent 32 minutes reading social media today.,I spent 32 minutes reading social media today.\n19420,2022/11/16,I did hiking on 2022/11/16.,I did hiking on 2022/11/16.\n19421,2022/11/16,I ate steak for lunch.,I ate steak for lunch.\n19422,2022/11/16,\"I talked to Claire, Rylee for 11 minutes in the late afternoon.\",\"I talked to Claire, Rylee for 11 minutes in the late afternoon.\"\n19423,2022/11/16,I spent 45 minutes on social media today.,I spent 45 minutes on social media today.\n19424,2022/11/16,I spent 19 minutes watching a tv series on TV today.,I spent 19 minutes watching a tv series on TV today.\n19425,2022/11/17,I did biking on 2022/11/17.,I did biking on 2022/11/17.\n19426,2022/11/17,I prepare oatmeal for breakfast.,I prepare oatmeal for breakfast.\n19427,2022/11/17,I spent 19 talking to Lydia on various topics in the early evening.,I spent 19 talking to Lydia on various topics in the early evening.\n19428,2022/11/17,I watched news for 21 minutes on TV today.,I watched news for 21 minutes on TV today.\n19429,2022/11/18,\"I spent 23 talking to Piper, Avery, Layla, Hazel on various topics in the early afternoon.\",\"I spent 23 talking to Piper, Avery, Layla, Hazel on various topics in the early afternoon.\"\n19430,2022/11/19,I did biking on 2022/11/19.,I did biking on 2022/11/19.\n19431,2022/11/19,\"I had tacos for lunch with Benjamin, Jackson, Willow, Avery\",\"I had tacos for lunch with Benjamin, Jackson, Willow, Avery\"\n19432,2022/11/19,I prepare pasta for dinner.,I prepare pasta for dinner.\n19433,2022/11/19,I spent 37 talking to Eva on various topics in the early evening.,I spent 37 talking to Eva on various topics in the early evening.\n19434,2022/11/20,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n19435,2022/11/20,\"I had dinner with Andrew, Kayden. I ate sushi.\",\"I had dinner with Andrew, Kayden. I ate sushi.\"\n19436,2022/11/20,I spent 49 minutes watching news on TV today.,I spent 49 minutes watching news on TV today.\n19437,2022/11/21,I did running on 2022/11/21.,I did running on 2022/11/21.\n19438,2022/11/21,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n19439,2022/11/21,I talked to Piper for 12 minutes late in the evening.,I talked to Piper for 12 minutes late in the evening.\n19440,2022/11/21,\"I spent 12 talking to Avery, Claire on various topics in the morning.\",\"I spent 12 talking to Avery, Claire on various topics in the morning.\"\n19441,2022/11/21,I spent 32 minutes reading a book today.,I spent 32 minutes reading a book today.\n19442,2022/11/21,I spent 48 minutes watching a movie on TV today.,I spent 48 minutes watching a movie on TV today.\n19443,2022/11/22,\"I bought some oranges, soda, conditioner from the grocery store. I saw Kinsley, Claire, Olivia, Lydia, Nevaeh at the grocery store.\",\"I bought some oranges, soda, conditioner from the grocery store. I saw Kinsley, Claire, Olivia, Lydia, Nevaeh at the grocery store.\"\n19444,2022/11/22,I ate steak for dinner.,I ate steak for dinner.\n19445,2022/11/22,\"I talked to Rylee, Avery, Piper for 12 minutes late in the evening.\",\"I talked to Rylee, Avery, Piper for 12 minutes late in the evening.\"\n19446,2022/11/22,I watched a tv series for 48 minutes on TV today.,I watched a tv series for 48 minutes on TV today.\n19447,2022/11/23,\"I had breakfast with Nora, Avery, Rylee, Hazel, Layla, Claire, Olivia, Piper, Lydia, Eva, Kinsley. I ate toast and cheese.\",\"I had breakfast with Nora, Avery, Rylee, Hazel, Layla, Claire, Olivia, Piper, Lydia, Eva, Kinsley. I ate toast and cheese.\"\n19448,2022/11/23,\"I had lunch with Benjamin, Avery, Willow. I ate chinese food.\",\"I had lunch with Benjamin, Avery, Willow. I ate chinese food.\"\n19449,2022/11/24,\"I had cereals for breakfast with Kinsley, Nevaeh, Olivia, Claire, Hazel\",\"I had cereals for breakfast with Kinsley, Nevaeh, Olivia, Claire, Hazel\"\n19450,2022/11/24,\"I had lunch with Benjamin, Willow. I ate tacos.\",\"I had lunch with Benjamin, Willow. I ate tacos.\"\n19451,2022/11/24,I watched news for 50 minutes on TV today.,I watched news for 50 minutes on TV today.\n19452,2022/11/25,\"I had peanut-butter-jam for breakfast with Olivia, Nora, Piper, Hazel, Avery, Rylee\",\"I had peanut-butter-jam for breakfast with Olivia, Nora, Piper, Hazel, Avery, Rylee\"\n19453,2022/11/25,\"I had lunch with Emily, Carter. I ate steak.\",\"I had lunch with Emily, Carter. I ate steak.\"\n19454,2022/11/25,\"I had dinner with Claire, Olivia. I ate steak.\",\"I had dinner with Claire, Olivia. I ate steak.\"\n19455,2022/11/25,\"I spent 25 talking to Nevaeh, Kinsley, Eva on various topics in the early afternoon.\",\"I spent 25 talking to Nevaeh, Kinsley, Eva on various topics in the early afternoon.\"\n19456,2022/11/25,I spent 42 minutes watching a tv series on TV today.,I spent 42 minutes watching a tv series on TV today.\n19457,2022/11/26,I did hiking on 2022/11/26.,I did hiking on 2022/11/26.\n19458,2022/11/26,\"I had a burger for lunch with Piper, Hazel, Lydia, Avery, Kinsley\",\"I had a burger for lunch with Piper, Hazel, Lydia, Avery, Kinsley\"\n19459,2022/11/26,\"I talked to Olivia, Claire for 51 minutes late in the evening.\",\"I talked to Olivia, Claire for 51 minutes late in the evening.\"\n19460,2022/11/26,\"I spent 28 talking to Claire, Piper on various topics late in the evening.\",\"I spent 28 talking to Claire, Piper on various topics late in the evening.\"\n19461,2022/11/27,Kayden for his/her  and I went for an annual dental cleaning and checkup at the private clinic on 2022/11/27.,Kayden for his/her  and I went for an annual dental cleaning and checkup at the private clinic on 2022/11/27.\n19462,2022/11/27,I spent some time gardening on 2022/11/27.,I spent some time gardening on 2022/11/27.\n19463,2022/11/27,I had dinner. I ate a burger.,I had dinner. I ate a burger.\n19464,2022/11/27,\"I spent 40 talking to Claire, Avery, Piper, Rylee on various topics in the early evening.\",\"I spent 40 talking to Claire, Avery, Piper, Rylee on various topics in the early evening.\"\n19465,2022/11/27,I watched a movie for 33 minutes on TV today.,I watched a movie for 33 minutes on TV today.\n19466,2022/11/28,I had peanut-butter-jam for breakfast with Kayden,I had peanut-butter-jam for breakfast with Kayden\n19467,2022/11/28,I prepare steak for lunch.,I prepare steak for lunch.\n19468,2022/11/28,I had dinner. I ate sandwich.,I had dinner. I ate sandwich.\n19469,2022/11/28,I watched a movie for 43 minutes on TV today.,I watched a movie for 43 minutes on TV today.\n19470,2022/11/29,I did weight lifting on 2022/11/29.,I did weight lifting on 2022/11/29.\n19471,2022/11/29,\"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\",\"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\"\n19472,2022/11/29,I had lunch. I ate fish and chips.,I had lunch. I ate fish and chips.\n19473,2022/11/29,\"I talked to Nora, Piper, Hazel for 31 minutes in the late afternoon.\",\"I talked to Nora, Piper, Hazel for 31 minutes in the late afternoon.\"\n19474,2022/11/30,\"I really enjoyed baking cream-filled bundt cake, fig tarte tatin, chocolate chip cookie in a mug on 2022/11/30 with Emily, Carter at my place\",\"I really enjoyed baking cream-filled bundt cake, fig tarte tatin, chocolate chip cookie in a mug on 2022/11/30 with Emily, Carter at my place\"\n19475,2022/11/30,I prepare pancakes for breakfast.,I prepare pancakes for breakfast.\n19476,2022/11/30,\"I had lunch with Kayden, Emily. I ate chinese food.\",\"I had lunch with Kayden, Emily. I ate chinese food.\"\n19477,2022/11/30,I ate sandwich for dinner.,I ate sandwich for dinner.\n19478,2022/11/30,\"I spent 39 talking to Hazel, Layla on various topics in the late afternoon.\",\"I spent 39 talking to Hazel, Layla on various topics in the late afternoon.\"\n19479,2022/11/30,I spent 13 minutes reading a book today.,I spent 13 minutes reading a book today.\n19480,2022/12/01,\"I had lunch with Jackson, Willow, Avery. I ate pasta.\",\"I had lunch with Jackson, Willow, Avery. I ate pasta.\"\n19481,2022/12/01,I talked to Piper for 43 minutes in the early afternoon.,I talked to Piper for 43 minutes in the early afternoon.\n19482,2022/12/02,\"I had breakfast with Lydia, Rylee, Piper, Nevaeh, Piper. I ate cereals.\",\"I had breakfast with Lydia, Rylee, Piper, Nevaeh, Piper. I ate cereals.\"\n19483,2022/12/02,\"I talked to Hazel, Kinsley for 35 minutes in the early evening.\",\"I talked to Hazel, Kinsley for 35 minutes in the early evening.\"\n19484,2022/12/02,I spent 54 minutes reading a book today.,I spent 54 minutes reading a book today.\n19485,2022/12/02,I spent 23 minutes watching a documentary on TV today.,I spent 23 minutes watching a documentary on TV today.\n19486,2022/12/03,I had breakfast. I ate pancakes.,I had breakfast. I ate pancakes.\n19487,2022/12/03,I prepare tacos for lunch.,I prepare tacos for lunch.\n19488,2022/12/03,I prepare pasta for dinner.,I prepare pasta for dinner.\n19489,2022/12/03,\"I talked to Piper, Rylee, Nora, Claire for 39 minutes in the early evening.\",\"I talked to Piper, Rylee, Nora, Claire for 39 minutes in the early evening.\"\n19490,2022/12/03,I watched a documentary for 24 minutes on TV today.,I watched a documentary for 24 minutes on TV today.\n19491,2022/12/04,\"I went grocery shopping. I bought some apricots, mandarins, apples, guava juice, sports drinks, and paper towel, toilet paper, toothpaste\",\"I went grocery shopping. I bought some apricots, mandarins, apples, guava juice, sports drinks, and paper towel, toilet paper, toothpaste\"\n19492,2022/12/04,\"I had pasta for dinner with Jackson, Benjamin, Willow\",\"I had pasta for dinner with Jackson, Benjamin, Willow\"\n19493,2022/12/04,I talked to Piper for 42 minutes in the early evening.,I talked to Piper for 42 minutes in the early evening.\n19494,2022/12/04,I spent 15 talking to Hazel on various topics in the late afternoon.,I spent 15 talking to Hazel on various topics in the late afternoon.\n19495,2022/12/05,I watched a tv series for 28 minutes on TV today.,I watched a tv series for 28 minutes on TV today.\n19496,2022/12/06,\"I went grocery shopping. I bought some watermelons, raspberries, mangos, soda, guava juice, chocolate milk, and paper towel, facial wash, shaving cream, toilet paper\",\"I went grocery shopping. I bought some watermelons, raspberries, mangos, soda, guava juice, chocolate milk, and paper towel, facial wash, shaving cream, toilet paper\"\n19497,2022/12/06,I had breakfast. I ate oatmeal.,I had breakfast. I ate oatmeal.\n19498,2022/12/06,\"I spent 7 talking to Eva, Olivia on various topics during lunch hours.\",\"I spent 7 talking to Eva, Olivia on various topics during lunch hours.\"\n19499,2022/12/06,\"I talked to Avery, Olivia, Piper, Claire for 29 minutes in the late afternoon.\",\"I talked to Avery, Olivia, Piper, Claire for 29 minutes in the late afternoon.\"\n19500,2022/12/07,\"On 2022/12/07, I took Emery on a date to a coffee Shop\",\"On 2022/12/07, I took Emery on a date to a coffee Shop\"\n19501,2022/12/07,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n19502,2022/12/07,I spent 19 minutes reading news today.,I spent 19 minutes reading news today.\n19503,2022/12/08,\"I spent time learning a language on 2022/12/08 with Emily, Andrew.\",\"I spent time learning a language on 2022/12/08 with Emily, Andrew.\"\n19504,2022/12/08,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n19505,2022/12/08,I prepare pasta for dinner.,I prepare pasta for dinner.\n19506,2022/12/08,I spent 34 minutes on social media today.,I spent 34 minutes on social media today.\n19507,2022/12/09,I did HIIT on 2022/12/09.,I did HIIT on 2022/12/09.\n19508,2022/12/09,I watched a movie for 35 minutes on TV today.,I watched a movie for 35 minutes on TV today.\n19509,2022/12/10,I did running on 2022/12/10.,I did running on 2022/12/10.\n19510,2022/12/10,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n19511,2022/12/10,\"I had dinner with Nevaeh, Kinsley, Hazel, Avery, Piper, Lydia, Nora. I ate indian food.\",\"I had dinner with Nevaeh, Kinsley, Hazel, Avery, Piper, Lydia, Nora. I ate indian food.\"\n19512,2022/12/11,I did swimming on 2022/12/11.,I did swimming on 2022/12/11.\n19513,2022/12/11,\"I had pasta for lunch with Emily, Kayden, Carter, Andrew\",\"I had pasta for lunch with Emily, Kayden, Carter, Andrew\"\n19514,2022/12/11,\"I had dinner with Avery, Benjamin, Jackson. I ate a burger.\",\"I had dinner with Avery, Benjamin, Jackson. I ate a burger.\"\n19515,2022/12/11,\"I talked to Rylee, Avery for 29 minutes in the late afternoon.\",\"I talked to Rylee, Avery for 29 minutes in the late afternoon.\"\n19516,2022/12/11,I talked to Lydia for 47 minutes late in the evening.,I talked to Lydia for 47 minutes late in the evening.\n19517,2022/12/11,I spent 8 minutes on news today.,I spent 8 minutes on news today.\n19518,2022/12/12,\"On 2022/12/12, I took Jackson on a date to a boba shop\",\"On 2022/12/12, I took Jackson on a date to a boba shop\"\n19519,2022/12/12,I did swimming on 2022/12/12.,I did swimming on 2022/12/12.\n19520,2022/12/12,I had breakfast. I ate toast and cheese.,I had breakfast. I ate toast and cheese.\n19521,2022/12/12,\"I had fish and chips for lunch with Piper, Piper, Rylee, Eva, Olivia, Claire, Layla, Kinsley, Nora, Nevaeh, Hazel, Lydia, Avery\",\"I had fish and chips for lunch with Piper, Piper, Rylee, Eva, Olivia, Claire, Layla, Kinsley, Nora, Nevaeh, Hazel, Lydia, Avery\"\n19522,2022/12/12,I ate pasta for dinner.,I ate pasta for dinner.\n19523,2022/12/12,\"I spent 55 talking to Olivia, Kinsley, Lydia, Nevaeh on various topics late in the evening.\",\"I spent 55 talking to Olivia, Kinsley, Lydia, Nevaeh on various topics late in the evening.\"\n19524,2022/12/13,I did swimming on 2022/12/13.,I did swimming on 2022/12/13.\n19525,2022/12/13,\"I had pancakes for breakfast with Avery, Piper, Piper, Kinsley, Eva, Layla, Claire, Olivia\",\"I had pancakes for breakfast with Avery, Piper, Piper, Kinsley, Eva, Layla, Claire, Olivia\"\n19526,2022/12/13,I spent 7 minutes on social media today.,I spent 7 minutes on social media today.\n19527,2022/12/14,I had breakfast. I ate cereals.,I had breakfast. I ate cereals.\n19528,2022/12/14,\"I had dinner with Emily, Carter, Kayden. I ate pasta.\",\"I had dinner with Emily, Carter, Kayden. I ate pasta.\"\n19529,2022/12/14,I spent 14 minutes reading news today.,I spent 14 minutes reading news today.\n19530,2022/12/14,I spent 54 minutes watching a documentary on TV today.,I spent 54 minutes watching a documentary on TV today.\n19531,2022/12/15,\"I went grocery shopping with Kayden, Emily. I bought some blackberries, mandarins, guava, nectarines, apple juice, mango juice, coffee, and toilet paper, body lotion, toothbrush\",\"I went grocery shopping with Kayden, Emily. I bought some blackberries, mandarins, guava, nectarines, apple juice, mango juice, coffee, and toilet paper, body lotion, toothbrush\"\n19532,2022/12/15,\"I prepare eggs, sausages, and bread for breakfast.\",\"I prepare eggs, sausages, and bread for breakfast.\"\n19533,2022/12/15,I prepare fish and chips for lunch.,I prepare fish and chips for lunch.\n19534,2022/12/15,I ate sushi for dinner.,I ate sushi for dinner.\n19535,2022/12/15,I spent 23 minutes watching news on TV today.,I spent 23 minutes watching news on TV today.\n19536,2022/12/16,I had breakfast. I ate peanut-butter-jam.,I had breakfast. I ate peanut-butter-jam.\n19537,2022/12/16,I had lunch. I ate a burger.,I had lunch. I ate a burger.\n19538,2022/12/16,I ate sandwich for dinner.,I ate sandwich for dinner.\n19539,2022/12/16,I spent 8 minutes reading news today.,I spent 8 minutes reading news today.\n19540,2022/12/17,I ate cereals for breakfast.,I ate cereals for breakfast.\n19541,2022/12/17,I prepare tacos for lunch.,I prepare tacos for lunch.\n19542,2022/12/17,\"I had dinner with Willow, Benjamin, Avery, Jackson. I ate fish and chips.\",\"I had dinner with Willow, Benjamin, Avery, Jackson. I ate fish and chips.\"\n19543,2022/12/17,I spent 20 talking to Avery on various topics in the early evening.,I spent 20 talking to Avery on various topics in the early evening.\n19544,2022/12/17,I spent 5 minutes reading news today.,I spent 5 minutes reading news today.\n19545,2022/12/18,I did biking on 2022/12/18.,I did biking on 2022/12/18.\n19546,2022/12/18,I ate fish and chips for lunch.,I ate fish and chips for lunch.\n19547,2022/12/18,\"I spent 38 talking to Rylee, Nora, Lydia on various topics late in the evening.\",\"I spent 38 talking to Rylee, Nora, Lydia on various topics late in the evening.\"\n19548,2022/12/18,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n19549,2022/12/18,I watched a documentary for 10 minutes on TV today.,I watched a documentary for 10 minutes on TV today.\n19550,2022/12/19,I did swimming on 2022/12/19.,I did swimming on 2022/12/19.\n19551,2022/12/19,I had lunch. I ate chinese food.,I had lunch. I ate chinese food.\n19552,2022/12/19,\"I spent 20 talking to Eva, Olivia on various topics late in the evening.\",\"I spent 20 talking to Eva, Olivia on various topics late in the evening.\"\n19553,2022/12/19,I spent 37 minutes on social media today.,I spent 37 minutes on social media today.\n19554,2022/12/20,\"I had lunch with Willow, Benjamin, Avery. I ate tacos.\",\"I had lunch with Willow, Benjamin, Avery. I ate tacos.\"\n19555,2022/12/20,\"I talked to Lydia, Kinsley for 37 minutes in the early afternoon.\",\"I talked to Lydia, Kinsley for 37 minutes in the early afternoon.\"\n19556,2022/12/21,I prepare tacos for dinner.,I prepare tacos for dinner.\n19557,2022/12/21,\"I talked to Avery, Claire for 39 minutes in the late afternoon.\",\"I talked to Avery, Claire for 39 minutes in the late afternoon.\"\n19558,2022/12/22,I spent 52 minutes on news today.,I spent 52 minutes on news today.\n19559,2022/12/22,I watched a documentary for 51 minutes on TV today.,I watched a documentary for 51 minutes on TV today.\n19560,2022/12/23,I did hiking on 2022/12/23.,I did hiking on 2022/12/23.\n19561,2022/12/23,I had lunch. I ate indian food.,I had lunch. I ate indian food.\n19562,2022/12/23,\"I had dinner with Emily, Andrew. I ate pasta.\",\"I had dinner with Emily, Andrew. I ate pasta.\"\n19563,2022/12/23,\"I spent 42 talking to Lydia, Claire on various topics in the late afternoon.\",\"I spent 42 talking to Lydia, Claire on various topics in the late afternoon.\"\n19564,2022/12/23,I spent 7 minutes on a book today.,I spent 7 minutes on a book today.\n19565,2022/12/24,I did weight lifting on 2022/12/24.,I did weight lifting on 2022/12/24.\n19566,2022/12/24,\"I had eggs, sausages, and bread for breakfast with Kayden, Emily\",\"I had eggs, sausages, and bread for breakfast with Kayden, Emily\"\n19567,2022/12/24,\"I had tacos for lunch with Emily, Andrew, Kayden, Carter\",\"I had tacos for lunch with Emily, Andrew, Kayden, Carter\"\n19568,2022/12/24,I ate tacos for dinner.,I ate tacos for dinner.\n19569,2022/12/24,I spent 33 minutes on news today.,I spent 33 minutes on news today.\n19570,2022/12/24,I spent 8 minutes watching news on TV today.,I spent 8 minutes watching news on TV today.\n19571,2022/12/25,\"I had a burger for lunch with Avery, Rylee, Nora, Piper, Olivia, Lydia, Eva, Layla, Piper, Nevaeh, Kinsley\",\"I had a burger for lunch with Avery, Rylee, Nora, Piper, Olivia, Lydia, Eva, Layla, Piper, Nevaeh, Kinsley\"\n19572,2022/12/25,I had dinner. I ate pasta.,I had dinner. I ate pasta.\n19573,2022/12/25,\"I spent 42 talking to Claire, Lydia on various topics during lunch hours.\",\"I spent 42 talking to Claire, Lydia on various topics during lunch hours.\"\n19574,2022/12/25,I spent 41 talking to Nora on various topics during lunch hours.,I spent 41 talking to Nora on various topics during lunch hours.\n19575,2022/12/26,\"I had breakfast with Lydia, Olivia, Nora. I ate peanut-butter-jam.\",\"I had breakfast with Lydia, Olivia, Nora. I ate peanut-butter-jam.\"\n19576,2022/12/26,\"I talked to Layla, Rylee for 21 minutes in the early evening.\",\"I talked to Layla, Rylee for 21 minutes in the early evening.\"\n19577,2022/12/26,I spent 6 minutes reading social media today.,I spent 6 minutes reading social media today.\n19578,2022/12/26,I watched a movie for 38 minutes on TV today.,I watched a movie for 38 minutes on TV today.\n19579,2022/12/27,I ate tacos for dinner.,I ate tacos for dinner.\n19580,2022/12/27,I spent 36 minutes reading a book today.,I spent 36 minutes reading a book today.\n19581,2022/12/28,I really enjoyed meditation on 2022/12/28,I really enjoyed meditation on 2022/12/28\n19582,2022/12/28,I did running on 2022/12/28.,I did running on 2022/12/28.\n19583,2022/12/28,\"I had breakfast with Kinsley, Nora, Eva. I ate eggs, sausages, and bread.\",\"I had breakfast with Kinsley, Nora, Eva. I ate eggs, sausages, and bread.\"\n19584,2022/12/28,I had lunch. I ate sandwich.,I had lunch. I ate sandwich.\n19585,2022/12/28,\"I had dinner with Kayden, Carter, Andrew. I ate indian food.\",\"I had dinner with Kayden, Carter, Andrew. I ate indian food.\"\n19586,2022/12/28,\"I spent 55 talking to Rylee, Avery, Hazel on various topics late in the evening.\",\"I spent 55 talking to Rylee, Avery, Hazel on various topics late in the evening.\"\n19587,2022/12/28,\"I talked to Lydia, Eva for 6 minutes in the early afternoon.\",\"I talked to Lydia, Eva for 6 minutes in the early afternoon.\"\n19588,2022/12/28,I spent 10 minutes on social media today.,I spent 10 minutes on social media today.\n19589,2022/12/29,\"I bought some bananas, nectarines, mangos, milk, orange juice, apple juice, paper towel online.\",\"I bought some bananas, nectarines, mangos, milk, orange juice, apple juice, paper towel online.\"\n19590,2022/12/29,\"I spent 29 talking to Kinsley, Lydia on various topics during lunch hours.\",\"I spent 29 talking to Kinsley, Lydia on various topics during lunch hours.\"\n19591,2022/12/29,\"I talked to Kinsley, Piper, Olivia for 48 minutes in the early afternoon.\",\"I talked to Kinsley, Piper, Olivia for 48 minutes in the early afternoon.\"\n19592,2022/12/29,I spent 18 minutes watching a tv series on TV today.,I spent 18 minutes watching a tv series on TV today.\n19593,2022/12/30,\"I was cooking contest-winning broccoli chicken casserole, au gratin peas and potatoes on 2022/12/30 with Jackson, Benjamin, Willow at my place\",\"I was cooking contest-winning broccoli chicken casserole, au gratin peas and potatoes on 2022/12/30 with Jackson, Benjamin, Willow at my place\"\n19594,2022/12/30,I ate pancakes for breakfast.,I ate pancakes for breakfast.\n19595,2022/12/30,I spent 17 talking to Eva on various topics in the morning.,I spent 17 talking to Eva on various topics in the morning.\n19596,2022/12/30,\"I spent 25 talking to Layla, Nora, Hazel on various topics in the early afternoon.\",\"I spent 25 talking to Layla, Nora, Hazel on various topics in the early afternoon.\"\n19597,2022/12/30,I spent 53 minutes reading social media today.,I spent 53 minutes reading social media today.\n19598,2022/12/30,I spent 11 minutes watching a movie on TV today.,I spent 11 minutes watching a movie on TV today.\n19599,2022/12/31,I did HIIT on 2022/12/31.,I did HIIT on 2022/12/31.\n19600,2022/12/31,I ate cereals for breakfast.,I ate cereals for breakfast.\n19601,2022/12/31,I spent 49 minutes on social media today.,I spent 49 minutes on social media today.\n19602,2022/12/31,I watched a documentary for 43 minutes on TV today.,I watched a documentary for 43 minutes on TV today.\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/timeline.json",
    "content": "{\"1992/05/27\": {\"birth_info\": {\"eid\": \"e0\", \"logical_representation\": [\"1992/05/27\", [\"Avery\", \"Jackson\"], [\"Asansol\", \"India\"]], \"text_template_based\": \"My parents are Avery and Jackson.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who are my parents?\", \"Avery and Jackson\"]], \"multihop_qa_pairs\": []}}, \"2010/02/12\": {\"travel\": {\"eid\": \"e1\", \"logical_representation\": [\"2010/02/12\", \"2010/02/18\", [\"Carter\", \"Kayden\"], \"Philadelphia, US\"], \"text_template_based\": \"On 2010/02/12 Carter, Kayden and I went to Philadelphia, US together for 6 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Philadelphia, US on 2010/02/12?\", \"Carter, Kayden\"], [\"who did I go with to Philadelphia, US?\", \"Carter, Kayden\"], [\"where did I go on 2010/02/12?\", \"Philadelphia, US\"], [\"when did I go to Philadelphia, US?\", \"2010/02/12\"], [\"when did I go to Philadelphia, US with Carter, Kayden ?\", \"2010/02/12\"], [\"How long did I stay in Philadelphia, US?\", \"6\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e282\", \"logical_representation\": [\"2010/02/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/02/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e283\", \"logical_representation\": [\"2010/02/12\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/02/12?\", \"40 minutes\"], [\"what did I read on 2010/02/12?\", \"social media\"], [\"Did I read on 2010/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/13\": {\"places_visited\": {\"eid\": \"e2\", \"logical_representation\": [\"2010/02/13\", [\"Carter\", \"Kayden\"], \"Liberty Bell\", \"took a group photo\", \"impressed\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Liberty Bell on 2010/02 with Carter, Kayden.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2010/02\", \"Liberty Bell\"], [\"when did I visit Liberty Bell during my trip to Philadelphia, US\", \"2010/02/13\"], [\"when did I visit Liberty Bell \", \"2010/02/13\"], [\"who went with me to visit Liberty Bell ?\", \"Carter, Kayden\"], [\"who went with me to visit Liberty Bell during my trip to Philadelphia, US on 2010/02?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e7\", \"logical_representation\": [\"2010/02/13\", [\"Carter\", \"Kayden\"], \"Chinese food\", \"High Street Philly\"], \"text_template_based\": \"I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/13 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at High Street Philly ?\", \"Carter, Kayden\"], [\"who did I eat Chinese food with?\", \"Carter, Kayden\"], [\"where did we eat Chinese food during our trip to Philadelphia, US on  2010/02/13?\", \"High Street Philly\"], [\"when did we eat Chinese food at High Street Philly during our trip to Philadelphia, US?\", \"2010/02/13\"], [\"when did we eat at High Street Philly?\", \"2010/02/13\"], [\"when did we eat Chinese food?\", \"2010/02/13\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e284\", \"logical_representation\": [\"2010/02/13\", \"dinner\", \"indian food\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Carter, Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/02/13?\", \"Andrew, Carter, Emily\"], [\"what did I eat for dinner on 2010/02/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e285\", \"logical_representation\": [\"2010/02/13\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/02/13?\", \"46 minutes\"], [\"what did I read on 2010/02/13?\", \"news\"], [\"Did I read on 2010/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e286\", \"logical_representation\": [\"2010/02/13\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/13?\", \"48 minutes\"], [\"what did I watch on tv on 2010/02/13?\", \"news\"], [\"Did I watch tv on 2010/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/14\": {\"places_visited\": {\"eid\": \"e3\", \"logical_representation\": [\"2010/02/14\", [\"Carter\", \"Kayden\"], \"Philadelphia Museum of Art\", \"recorded some videos\", \"happy\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Philadelphia Museum of Art on 2010/02 with Carter, Kayden.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2010/02\", \"Philadelphia Museum of Art\"], [\"when did I visit Philadelphia Museum of Art during my trip to Philadelphia, US\", \"2010/02/14\"], [\"when did I visit Philadelphia Museum of Art \", \"2010/02/14\"], [\"who went with me to visit Philadelphia Museum of Art ?\", \"Carter, Kayden\"], [\"who went with me to visit Philadelphia Museum of Art during my trip to Philadelphia, US on 2010/02?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e287\", \"logical_representation\": [\"2010/02/14\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had toast and cheese for breakfast with Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/02/14?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2010/02/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e288\", \"logical_representation\": [\"2010/02/14\", \"lunch\", \"chinese food\", \"Kayden, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/02/14?\", \"Kayden, Carter\"], [\"what did I eat for lunch on 2010/02/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2010/02/15\": {\"places_visited\": {\"eid\": \"e4\", \"logical_representation\": [\"2010/02/15\", [\"Carter\", \"Kayden\"], \"Ipanema\", \"bought some souvenirs\", \"happy\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Ipanema on 2010/02 with Carter, Kayden.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2010/02\", \"Ipanema\"], [\"when did I visit Ipanema during my trip to Philadelphia, US\", \"2010/02/15\"], [\"when did I visit Ipanema \", \"2010/02/15\"], [\"who went with me to visit Ipanema ?\", \"Carter, Kayden\"], [\"who went with me to visit Ipanema during my trip to Philadelphia, US on 2010/02?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e8\", \"logical_representation\": [\"2010/02/15\", [\"Carter\", \"Kayden\"], \"Chinese food\", \"High Street Philly\"], \"text_template_based\": \"I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/15 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at High Street Philly ?\", \"Carter, Kayden\"], [\"who did I eat Chinese food with?\", \"Carter, Kayden\"], [\"where did we eat Chinese food during our trip to Philadelphia, US on  2010/02/15?\", \"High Street Philly\"], [\"when did we eat Chinese food at High Street Philly during our trip to Philadelphia, US?\", \"2010/02/15\"], [\"when did we eat at High Street Philly?\", \"2010/02/15\"], [\"when did we eat Chinese food?\", \"2010/02/15\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e289\", \"logical_representation\": [\"2010/02/15\", \"breakfast\", \"pancakes\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/02/15?\", \"Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2010/02/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e290\", \"logical_representation\": [\"2010/02/15\", \"dinner\", \"steak\", \"Nevaeh, Hazel, Kinsley, Lydia, Eva, Layla, Avery, Piper, Rylee, Olivia\"], \"text_template_based\": \"I had steak for dinner with Nevaeh, Hazel, Kinsley, Lydia, Eva, Layla, Avery, Piper, Rylee, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/02/15?\", \"Nevaeh, Hazel, Kinsley, Lydia, Eva, Layla, Avery, Piper, Rylee, Olivia\"], [\"what did I eat for dinner on 2010/02/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e291\", \"logical_representation\": [\"2010/02/15\", \"Claire\", \"late in the evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Claire for 48 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2010/02/15?\", \"48 minutes\"], [\"who did I talk to on 2010/02/15?\", \"Claire\"], [\"Did I talk to Claire on 2010/02/15?\", \"yes\"], [\"Did I talk to anyone on 2010/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e292\", \"logical_representation\": [\"2010/02/15\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/02/15?\", \"34 minutes\"], [\"what did I read on 2010/02/15?\", \"a book\"], [\"Did I read on 2010/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e293\", \"logical_representation\": [\"2010/02/15\", \"news\", \"30 minutes\"], \"text_template_based\": \"I watched news for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/15?\", \"30 minutes\"], [\"what did I watch on tv on 2010/02/15?\", \"news\"], [\"Did I watch tv on 2010/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/16\": {\"places_visited\": {\"eid\": \"e5\", \"logical_representation\": [\"2010/02/16\", [\"Carter\", \"Kayden\"], \"Carnaval\", \"took a selfie\", \"impressed\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Carnaval on 2010/02 with Carter, Kayden.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2010/02\", \"Carnaval\"], [\"when did I visit Carnaval during my trip to Philadelphia, US\", \"2010/02/16\"], [\"when did I visit Carnaval \", \"2010/02/16\"], [\"who went with me to visit Carnaval ?\", \"Carter, Kayden\"], [\"who went with me to visit Carnaval during my trip to Philadelphia, US on 2010/02?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e9\", \"logical_representation\": [\"2010/02/16\", [\"Carter\", \"Kayden\"], \"street food\", \"Lunch Street\"], \"text_template_based\": \"I ate street food at Lunch Street with Carter, Kayden on  2010/02/16 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat street food with at Lunch Street ?\", \"Carter, Kayden\"], [\"who did I eat street food with?\", \"Carter, Kayden\"], [\"where did we eat street food during our trip to Philadelphia, US on  2010/02/16?\", \"Lunch Street\"], [\"when did we eat street food at Lunch Street during our trip to Philadelphia, US?\", \"2010/02/16\"], [\"when did we eat at Lunch Street?\", \"2010/02/16\"], [\"when did we eat street food?\", \"2010/02/16\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e29\", \"logical_representation\": [\"2010/02/16\", \"Aurora\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Aurora on 2010/02/16 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/02/16\", \"Aurora\"], [\"where did I go for the date on 2010/02/16\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e294\", \"logical_representation\": [\"2010/02/16\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/02/16?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2010/02/16\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e295\", \"logical_representation\": [\"2010/02/16\", \"lunch\", \"a burger\", \"Lydia, Piper, Nora, Rylee\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/02/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e296\", \"logical_representation\": [\"2010/02/16\", \"dinner\", \"sandwich\", \"Jackson\"], \"text_template_based\": \"I had sandwich for dinner with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/02/16?\", \"Jackson\"], [\"what did I eat for dinner on 2010/02/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e297\", \"logical_representation\": [\"2010/02/16\", \"Rylee\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2010/02/16?\", \"35 minutes\"], [\"who did I talk to on 2010/02/16?\", \"Rylee\"], [\"Did I talk to Rylee on 2010/02/16?\", \"yes\"], [\"Did I talk to anyone on 2010/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e298\", \"logical_representation\": [\"2010/02/16\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/02/16?\", \"40 minutes\"], [\"what did I read on 2010/02/16?\", \"social media\"], [\"Did I read on 2010/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e299\", \"logical_representation\": [\"2010/02/16\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I watched a documentary for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/16?\", \"51 minutes\"], [\"what did I watch on tv on 2010/02/16?\", \"a documentary\"], [\"Did I watch tv on 2010/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/17\": {\"places_visited\": {\"eid\": \"e6\", \"logical_representation\": [\"2010/02/17\", [\"Carter\", \"Kayden\"], \"Independence Hall\", \"recorded some videos\", \"happy\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Independence Hall on 2010/02 with Carter, Kayden.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2010/02\", \"Independence Hall\"], [\"when did I visit Independence Hall during my trip to Philadelphia, US\", \"2010/02/17\"], [\"when did I visit Independence Hall \", \"2010/02/17\"], [\"who went with me to visit Independence Hall ?\", \"Carter, Kayden\"], [\"who went with me to visit Independence Hall during my trip to Philadelphia, US on 2010/02?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e10\", \"logical_representation\": [\"2010/02/17\", [\"Carter\", \"Kayden\"], \"Japanese food\", \"High Street Philly\"], \"text_template_based\": \"I ate Japanese food at High Street Philly with Carter, Kayden on  2010/02/17 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at High Street Philly ?\", \"Carter, Kayden\"], [\"who did I eat Japanese food with?\", \"Carter, Kayden\"], [\"where did we eat Japanese food during our trip to Philadelphia, US on  2010/02/17?\", \"High Street Philly\"], [\"when did we eat Japanese food at High Street Philly during our trip to Philadelphia, US?\", \"2010/02/17\"], [\"when did we eat at High Street Philly?\", \"2010/02/17\"], [\"when did we eat Japanese food?\", \"2010/02/17\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e300\", \"logical_representation\": [\"2010/02/17\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Lydia, Rylee, Olivia, Nora, Piper, Eva, Kinsley, Piper, Nevaeh, Hazel, Avery\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/02/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e301\", \"logical_representation\": [\"2010/02/17\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/02/17?\", \"53 minutes\"], [\"what did I read on 2010/02/17?\", \"social media\"], [\"Did I read on 2010/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/18\": {\"dining\": {\"eid\": \"e11\", \"logical_representation\": [\"2010/02/18\", [\"Carter\", \"Kayden\"], \"Japanese food\", \"Wood Street Pizza\"], \"text_template_based\": \"I ate Japanese food at Wood Street Pizza with Carter, Kayden on  2010/02/18 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Wood Street Pizza ?\", \"Carter, Kayden\"], [\"who did I eat Japanese food with?\", \"Carter, Kayden\"], [\"where did we eat Japanese food during our trip to Philadelphia, US on  2010/02/18?\", \"Wood Street Pizza\"], [\"when did we eat Japanese food at Wood Street Pizza during our trip to Philadelphia, US?\", \"2010/02/18\"], [\"when did we eat at Wood Street Pizza?\", \"2010/02/18\"], [\"when did we eat Japanese food?\", \"2010/02/18\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e302\", \"logical_representation\": [\"2010/02/18\", \"lunch\", \"steak\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/02/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e303\", \"logical_representation\": [\"2010/02/18\", \"dinner\", \"sandwich\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/02/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e304\", \"logical_representation\": [\"2010/02/18\", \"Piper, Hazel\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel for 11 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel in the early afternoon on 2010/02/18?\", \"11 minutes\"], [\"who did I talk to on 2010/02/18?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2010/02/18?\", \"yes\"], [\"Did I talk to anyone on 2010/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e305\", \"logical_representation\": [\"2010/02/18\", \"Piper, Nora, Layla, Avery\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Piper, Nora, Layla, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Layla, Avery in the late afternoon on 2010/02/18?\", \"28 minutes\"], [\"who did I talk to on 2010/02/18?\", \"Piper, Nora, Layla, Avery\"], [\"Did I talk to Piper, Nora, Layla, Avery on 2010/02/18?\", \"yes\"], [\"Did I talk to anyone on 2010/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e306\", \"logical_representation\": [\"2010/02/18\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/02/18?\", \"24 minutes\"], [\"what did I read on 2010/02/18?\", \"news\"], [\"Did I read on 2010/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/20\": {\"personal_medical_care\": {\"eid\": \"e12\", \"logical_representation\": [\"2010/08/20\", \"I went for an annual physical checkup on 2010/08/20 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I went for an annual physical checkup on 2010/08/20 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual physical checkup in 2010?\", \"2010/08/20\"], [\"where did I go for an annual physical checkup on 2010/08/20\", \"private clinic\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e85\", \"logical_representation\": [\"2010/08/20\", \"I spent time gardening on 2010/08/20 with Benjamin, Jackson, Avery.\", \"gardening\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I spent time gardening on 2010/08/20 with Benjamin, Jackson, Avery.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Benjamin, Jackson, Avery?\", \"2010/08/20\"], [\"On 2010/08/20, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2010/08/20?\", \"Benjamin, Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1000\", \"logical_representation\": [\"2010/08/20\", \"dinner\", \"sushi\", \"Eva, Nevaeh, Rylee, Olivia, Nora, Hazel, Lydia, Claire, Piper, Kinsley, Piper, Avery, Layla\"], \"text_template_based\": \"I had dinner with Eva, Nevaeh, Rylee, Olivia, Nora, Hazel, Lydia, Claire, Piper, Kinsley, Piper, Avery, Layla. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/08/20?\", \"Eva, Nevaeh, Rylee, Olivia, Nora, Hazel, Lydia, Claire, Piper, Kinsley, Piper, Avery, Layla\"], [\"what did I eat for dinner on 2010/08/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1001\", \"logical_representation\": [\"2010/08/20\", \"Eva, Claire\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Eva, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire during lunch hours on 2010/08/20?\", \"23 minutes\"], [\"who did I talk to on 2010/08/20?\", \"Eva, Claire\"], [\"Did I talk to Eva, Claire on 2010/08/20?\", \"yes\"], [\"Did I talk to anyone on 2010/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1002\", \"logical_representation\": [\"2010/08/20\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/20?\", \"27 minutes\"], [\"what did I watch on tv on 2010/08/20?\", \"news\"], [\"Did I watch tv on 2010/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/28\": {\"personal_medical_care\": {\"eid\": \"e13\", \"logical_representation\": [\"2010/09/28\", \"I went for an annual dental cleaning and checkup on 2010/09/28 at the hospital.\", \"hospital\"], \"text_template_based\": \"I went for an annual dental cleaning and checkup on 2010/09/28 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual dental cleaning and checkup in 2010?\", \"2010/09/28\"], [\"where did I go for an annual dental cleaning and checkup on 2010/09/28\", \"hospital\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1153\", \"logical_representation\": [\"2010/09/28\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/09/28\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1154\", \"logical_representation\": [\"2010/09/28\", \"lunch\", \"chinese food\", \"Benjamin, Jackson\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/09/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1155\", \"logical_representation\": [\"2010/09/28\", \"dinner\", \"tacos\", \"Piper\"], \"text_template_based\": \"I had dinner with Piper. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/09/28?\", \"Piper\"], [\"what did I eat for dinner on 2010/09/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1156\", \"logical_representation\": [\"2010/09/28\", \"a movie\", \"52 minutes\"], \"text_template_based\": \"I watched a movie for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/28?\", \"52 minutes\"], [\"what did I watch on tv on 2010/09/28?\", \"a movie\"], [\"Did I watch tv on 2010/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/16\": {\"parent_medical_care\": {\"eid\": \"e14\", \"logical_representation\": [\"2010/07/16\", \"my parents for their and I went for an annual physical checkup at the hospital on 2010/07/16.\", \"hospital\"], \"text_template_based\": \"my parents for their and I went for an annual physical checkup at the hospital on 2010/07/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2010?\", \"2010/07/16\"], [\"what did I do on 2010/07/16\", \"I took my parents for their for an  annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e868\", \"logical_representation\": [\"2010/07/16\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Piper, Layla, Claire, Olivia, Eva, Avery\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Lydia, Piper, Layla, Claire, Olivia, Eva, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/07/16?\", \"Lydia, Piper, Layla, Claire, Olivia, Eva, Avery\"], [\"what did I eat for breakfast on 2010/07/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e869\", \"logical_representation\": [\"2010/07/16\", \"lunch\", \"chinese food\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/07/16?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2010/07/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e870\", \"logical_representation\": [\"2010/07/16\", \"dinner\", \"steak\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/07/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e871\", \"logical_representation\": [\"2010/07/16\", \"Olivia, Avery, Piper\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Olivia, Avery, Piper for 19 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Piper in the late afternoon on 2010/07/16?\", \"19 minutes\"], [\"who did I talk to on 2010/07/16?\", \"Olivia, Avery, Piper\"], [\"Did I talk to Olivia, Avery, Piper on 2010/07/16?\", \"yes\"], [\"Did I talk to anyone on 2010/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e872\", \"logical_representation\": [\"2010/07/16\", \"Rylee, Layla, Olivia\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I talked to Rylee, Layla, Olivia for 55 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla, Olivia in the late afternoon on 2010/07/16?\", \"55 minutes\"], [\"who did I talk to on 2010/07/16?\", \"Rylee, Layla, Olivia\"], [\"Did I talk to Rylee, Layla, Olivia on 2010/07/16?\", \"yes\"], [\"Did I talk to anyone on 2010/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e873\", \"logical_representation\": [\"2010/07/16\", \"a documentary\", \"45 minutes\"], \"text_template_based\": \"I watched a documentary for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/16?\", \"45 minutes\"], [\"what did I watch on tv on 2010/07/16?\", \"a documentary\"], [\"Did I watch tv on 2010/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/18\": {\"parent_medical_care\": {\"eid\": \"e15\", \"logical_representation\": [\"2010/01/18\", \"I took my parents for their for an annual dental cleaning and checkup on 2010/01/18 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I took my parents for their for an annual dental cleaning and checkup on 2010/01/18 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2010?\", \"2010/01/18\"], [\"what did I do on 2010/01/18\", \"I took my parents for their for an annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e185\", \"logical_representation\": [\"2010/01/18\", \"dinner\", \"steak\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e186\", \"logical_representation\": [\"2010/01/18\", \"Claire, Nevaeh, Nora\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I talked to Claire, Nevaeh, Nora for 39 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Nora during lunch hours on 2010/01/18?\", \"39 minutes\"], [\"who did I talk to on 2010/01/18?\", \"Claire, Nevaeh, Nora\"], [\"Did I talk to Claire, Nevaeh, Nora on 2010/01/18?\", \"yes\"], [\"Did I talk to anyone on 2010/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e187\", \"logical_representation\": [\"2010/01/18\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/01/18?\", \"16 minutes\"], [\"what did I read on 2010/01/18?\", \"a book\"], [\"Did I read on 2010/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/02\": {\"dating\": {\"eid\": \"e16\", \"logical_representation\": [\"2010/01/02\", \"Leah\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Leah on 2010/01/02 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/01/02\", \"Leah\"], [\"where did I go for the date on 2010/01/02\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e130\", \"logical_representation\": [\"2010/01/02\", \"lunch\", \"chinese food\", \"Hazel, Layla, Rylee, Piper, Olivia, Piper, Claire, Eva, Nevaeh\"], \"text_template_based\": \"I had chinese food for lunch with Hazel, Layla, Rylee, Piper, Olivia, Piper, Claire, Eva, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/01/02?\", \"Hazel, Layla, Rylee, Piper, Olivia, Piper, Claire, Eva, Nevaeh\"], [\"what did I eat for lunch on 2010/01/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e131\", \"logical_representation\": [\"2010/01/02\", \"dinner\", \"pasta\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e132\", \"logical_representation\": [\"2010/01/02\", \"Nora\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2010/01/02?\", \"41 minutes\"], [\"who did I talk to on 2010/01/02?\", \"Nora\"], [\"Did I talk to Nora on 2010/01/02?\", \"yes\"], [\"Did I talk to anyone on 2010/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/05\": {\"dating\": {\"eid\": \"e17\", \"logical_representation\": [\"2010/01/05\", \"Elena\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Elena on 2010/01/05 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/01/05\", \"Elena\"], [\"where did I go for the date on 2010/01/05\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e18\", \"logical_representation\": [\"2010/01/05\", \"I really enjoyed meditation on 2010/01/05\", \"meditation\", \"Olivia, Eva\"], \"text_template_based\": \"I really enjoyed meditation on 2010/01/05\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2010/01/05\"], [\"On 2010/01/05, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e143\", \"logical_representation\": [\"2010/01/05\", \"breakfast\", \"toast and cheese\", \"Kinsley\"], \"text_template_based\": \"I had breakfast with Kinsley. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/01/05?\", \"Kinsley\"], [\"what did I eat for breakfast on 2010/01/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e144\", \"logical_representation\": [\"2010/01/05\", \"dinner\", \"steak\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e145\", \"logical_representation\": [\"2010/01/05\", \"Rylee, Lydia\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Rylee, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia in the early afternoon on 2010/01/05?\", \"22 minutes\"], [\"who did I talk to on 2010/01/05?\", \"Rylee, Lydia\"], [\"Did I talk to Rylee, Lydia on 2010/01/05?\", \"yes\"], [\"Did I talk to anyone on 2010/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e146\", \"logical_representation\": [\"2010/01/05\", \"Nora, Nevaeh\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nora, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh in the early afternoon on 2010/01/05?\", \"29 minutes\"], [\"who did I talk to on 2010/01/05?\", \"Nora, Nevaeh\"], [\"Did I talk to Nora, Nevaeh on 2010/01/05?\", \"yes\"], [\"Did I talk to anyone on 2010/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/10\": {\"dating\": {\"eid\": \"e19\", \"logical_representation\": [\"2010/01/10\", \"Charlotte\", \"a park\"], \"text_template_based\": \"On 2010/01/10, I took Charlotte on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/01/10\", \"Charlotte\"], [\"where did I go for the date on 2010/01/10\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e160\", \"logical_representation\": [\"2010/01/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/01/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e161\", \"logical_representation\": [\"2010/01/10\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/01/10?\", \"51 minutes\"], [\"what did I read on 2010/01/10?\", \"a book\"], [\"Did I read on 2010/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e162\", \"logical_representation\": [\"2010/01/10\", \"news\", \"16 minutes\"], \"text_template_based\": \"I watched news for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/10?\", \"16 minutes\"], [\"what did I watch on tv on 2010/01/10?\", \"news\"], [\"Did I watch tv on 2010/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/14\": {\"hobbies\": {\"eid\": \"e20\", \"logical_representation\": [\"2010/01/14\", \"I spent some time yoga on 2010/01/14.\", \"yoga\", \"Emily\"], \"text_template_based\": \"I spent some time yoga on 2010/01/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2010/01/14\"], [\"On 2010/01/14, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e21\", \"logical_representation\": [\"2010/01/14\", \"I bought some watermelons, apples, tea, sports drinks, pineapple juice, paper towel, body lotion, shaving cream, conditioner online.\", \"watermelons, apples\", \"tea, sports drinks, pineapple juice\", \"paper towel, body lotion, shaving cream, conditioner\", \"Lydia, Eva, Layla, Hazel, Nevaeh, Olivia, Piper\"], \"text_template_based\": \"I bought some watermelons, apples, tea, sports drinks, pineapple juice, paper towel, body lotion, shaving cream, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/01/14?\", \"watermelons, apples, tea, sports drinks, pineapple juice, and paper towel, body lotion, shaving cream, conditioner\"], [\"what fruits did I buy online on 2010/01/14?\", \"watermelons, apples\"], [\"what drinks did I buy online on 2010/01/14?\", \"tea, sports drinks, pineapple juice\"], [\"what toiletries did I buy online on 2010/01/14?\", \"paper towel, body lotion, shaving cream, conditioner\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e175\", \"logical_representation\": [\"2010/01/14\", \"lunch\", \"a burger\", \"Piper, Layla, Nora, Eva, Hazel, Avery, Lydia, Piper\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e176\", \"logical_representation\": [\"2010/01/14\", \"dinner\", \"sandwich\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e177\", \"logical_representation\": [\"2010/01/14\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/01/14?\", \"21 minutes\"], [\"what did I read on 2010/01/14?\", \"news\"], [\"Did I read on 2010/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/16\": {\"grocery\": {\"eid\": \"e22\", \"logical_representation\": [\"2010/01/16\", \"I bought some blackberries, clementines, guava, nectarines, tea, toothbrush from the grocery store. I saw Avery at the grocery store.\", \"blackberries, clementines, guava, nectarines\", \"tea\", \"toothbrush\", \"Avery\"], \"text_template_based\": \"I bought some blackberries, clementines, guava, nectarines, tea, toothbrush from the grocery store. I saw Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/01/16?\", \"blackberries, clementines, guava, nectarines, tea, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2010/01/16?\", \"blackberries, clementines, guava, nectarines\"], [\"what drinks did I buy from the grocery store on 2010/01/16?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2010/01/16?\", \"toothbrush\"], [\"who did I see at the grocery store on 2010/01/16?\", \"Avery\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e180\", \"logical_representation\": [\"2010/01/16\", \"Eva, Claire, Lydia\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Eva, Claire, Lydia for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire, Lydia in the early afternoon on 2010/01/16?\", \"36 minutes\"], [\"who did I talk to on 2010/01/16?\", \"Eva, Claire, Lydia\"], [\"Did I talk to Eva, Claire, Lydia on 2010/01/16?\", \"yes\"], [\"Did I talk to anyone on 2010/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/28\": {\"dating\": {\"eid\": \"e23\", \"logical_representation\": [\"2010/01/28\", \"Victoria\", \"a restaurant\"], \"text_template_based\": \"On 2010/01/28, I took Victoria on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/01/28\", \"Victoria\"], [\"where did I go for the date on 2010/01/28\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e219\", \"logical_representation\": [\"2010/01/28\", \"breakfast\", \"oatmeal\", \"Avery, Willow\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/01/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e220\", \"logical_representation\": [\"2010/01/28\", \"lunch\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e221\", \"logical_representation\": [\"2010/01/28\", \"Lydia\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Lydia for 54 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the late afternoon on 2010/01/28?\", \"54 minutes\"], [\"who did I talk to on 2010/01/28?\", \"Lydia\"], [\"Did I talk to Lydia on 2010/01/28?\", \"yes\"], [\"Did I talk to anyone on 2010/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e222\", \"logical_representation\": [\"2010/01/28\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/01/28?\", \"44 minutes\"], [\"what did I read on 2010/01/28?\", \"news\"], [\"Did I read on 2010/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/26\": {\"hobbies\": {\"eid\": \"e24\", \"logical_representation\": [\"2010/01/26\", \"I really enjoyed gardening on 2010/01/26\", \"gardening\", \"Olivia, Lydia\"], \"text_template_based\": \"I really enjoyed gardening on 2010/01/26\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2010/01/26\"], [\"On 2010/01/26, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e216\", \"logical_representation\": [\"2010/01/26\", \"news\", \"10 minutes\"], \"text_template_based\": \"I watched news for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/26?\", \"10 minutes\"], [\"what did I watch on tv on 2010/01/26?\", \"news\"], [\"Did I watch tv on 2010/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/22\": {\"grocery\": {\"eid\": \"e25\", \"logical_representation\": [\"2010/01/22\", \"I bought some peaches, strawberries, oranges, orange juice, guava juice, mouthwash online.\", \"peaches, strawberries, oranges\", \"orange juice, guava juice\", \"mouthwash\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I bought some peaches, strawberries, oranges, orange juice, guava juice, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/01/22?\", \"peaches, strawberries, oranges, orange juice, guava juice, and mouthwash\"], [\"what fruits did I buy online on 2010/01/22?\", \"peaches, strawberries, oranges\"], [\"what drinks did I buy online on 2010/01/22?\", \"orange juice, guava juice\"], [\"what toiletries did I buy online on 2010/01/22?\", \"mouthwash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e201\", \"logical_representation\": [\"2010/01/22\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/01/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e202\", \"logical_representation\": [\"2010/01/22\", \"lunch\", \"pasta\", \"Nora, Nevaeh, Lydia, Hazel, Claire, Olivia, Avery, Piper\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e203\", \"logical_representation\": [\"2010/01/22\", \"Nevaeh, Nora, Piper, Hazel\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Nora, Piper, Hazel for 17 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Piper, Hazel in the early afternoon on 2010/01/22?\", \"17 minutes\"], [\"who did I talk to on 2010/01/22?\", \"Nevaeh, Nora, Piper, Hazel\"], [\"Did I talk to Nevaeh, Nora, Piper, Hazel on 2010/01/22?\", \"yes\"], [\"Did I talk to anyone on 2010/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e204\", \"logical_representation\": [\"2010/01/22\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/01/22?\", \"33 minutes\"], [\"what did I read on 2010/01/22?\", \"news\"], [\"Did I read on 2010/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e205\", \"logical_representation\": [\"2010/01/22\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I watched a tv series for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/22?\", \"17 minutes\"], [\"what did I watch on tv on 2010/01/22?\", \"a tv series\"], [\"Did I watch tv on 2010/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/04\": {\"hobbies\": {\"eid\": \"e26\", \"logical_representation\": [\"2010/02/04\", \"I spent some time working out on 2010/02/04.\", \"working out\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I spent some time working out on 2010/02/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2010/02/04\"], [\"On 2010/02/04, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e247\", \"logical_representation\": [\"2010/02/04\", \"lunch\", \"a burger\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had lunch with Jackson, Benjamin, Willow. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/02/04?\", \"Jackson, Benjamin, Willow\"], [\"what did I eat for lunch on 2010/02/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e248\", \"logical_representation\": [\"2010/02/04\", \"dinner\", \"chinese food\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/02/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e249\", \"logical_representation\": [\"2010/02/04\", \"Nevaeh, Rylee, Claire, Piper\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee, Claire, Piper for 22 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Claire, Piper in the early afternoon on 2010/02/04?\", \"22 minutes\"], [\"who did I talk to on 2010/02/04?\", \"Nevaeh, Rylee, Claire, Piper\"], [\"Did I talk to Nevaeh, Rylee, Claire, Piper on 2010/02/04?\", \"yes\"], [\"Did I talk to anyone on 2010/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e250\", \"logical_representation\": [\"2010/02/04\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/02/04?\", \"25 minutes\"], [\"what did I read on 2010/02/04?\", \"a book\"], [\"Did I read on 2010/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e251\", \"logical_representation\": [\"2010/02/04\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/04?\", \"20 minutes\"], [\"what did I watch on tv on 2010/02/04?\", \"a tv series\"], [\"Did I watch tv on 2010/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/31\": {\"grocery\": {\"eid\": \"e27\", \"logical_representation\": [\"2010/01/31\", \"I bought some bananas, pineapples, guava, guava juice, soda, toothpaste, mouthwash, paper towel online.\", \"bananas, pineapples, guava\", \"guava juice, soda\", \"toothpaste, mouthwash, paper towel\", \"Piper, Claire, Nora, Eva, Rylee, Olivia, Piper, Lydia, Layla, Kinsley\"], \"text_template_based\": \"I bought some bananas, pineapples, guava, guava juice, soda, toothpaste, mouthwash, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/01/31?\", \"bananas, pineapples, guava, guava juice, soda, and toothpaste, mouthwash, paper towel\"], [\"what fruits did I buy online on 2010/01/31?\", \"bananas, pineapples, guava\"], [\"what drinks did I buy online on 2010/01/31?\", \"guava juice, soda\"], [\"what toiletries did I buy online on 2010/01/31?\", \"toothpaste, mouthwash, paper towel\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e232\", \"logical_representation\": [\"2010/01/31\", \"lunch\", \"steak\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e233\", \"logical_representation\": [\"2010/01/31\", \"dinner\", \"fish and chips\", \"Willow\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e234\", \"logical_representation\": [\"2010/01/31\", \"Nevaeh, Piper, Olivia, Kinsley\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Olivia, Kinsley for 12 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Olivia, Kinsley in the late afternoon on 2010/01/31?\", \"12 minutes\"], [\"who did I talk to on 2010/01/31?\", \"Nevaeh, Piper, Olivia, Kinsley\"], [\"Did I talk to Nevaeh, Piper, Olivia, Kinsley on 2010/01/31?\", \"yes\"], [\"Did I talk to anyone on 2010/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e235\", \"logical_representation\": [\"2010/01/31\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I watched a tv series for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/31?\", \"37 minutes\"], [\"what did I watch on tv on 2010/01/31?\", \"a tv series\"], [\"Did I watch tv on 2010/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/05\": {\"dating\": {\"eid\": \"e28\", \"logical_representation\": [\"2010/02/05\", \"Daniel\", \"a coffee Shop\"], \"text_template_based\": \"On 2010/02/05, I took Daniel on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/02/05\", \"Daniel\"], [\"where did I go for the date on 2010/02/05\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e252\", \"logical_representation\": [\"2010/02/05\", \"breakfast\", \"oatmeal\", \"Emily, Andrew\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/02/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e253\", \"logical_representation\": [\"2010/02/05\", \"lunch\", \"fish and chips\", \"Avery\"], \"text_template_based\": \"I had fish and chips for lunch with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/02/05?\", \"Avery\"], [\"what did I eat for lunch on 2010/02/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e254\", \"logical_representation\": [\"2010/02/05\", \"Olivia\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2010/02/05?\", \"38 minutes\"], [\"who did I talk to on 2010/02/05?\", \"Olivia\"], [\"Did I talk to Olivia on 2010/02/05?\", \"yes\"], [\"Did I talk to anyone on 2010/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e255\", \"logical_representation\": [\"2010/02/05\", \"social media\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/02/05?\", \"15 minutes\"], [\"what did I read on 2010/02/05?\", \"social media\"], [\"Did I read on 2010/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e256\", \"logical_representation\": [\"2010/02/05\", \"news\", \"23 minutes\"], \"text_template_based\": \"I watched news for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/05?\", \"23 minutes\"], [\"what did I watch on tv on 2010/02/05?\", \"news\"], [\"Did I watch tv on 2010/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/19\": {\"dating\": {\"eid\": \"e30\", \"logical_representation\": [\"2010/02/19\", \"Theodore\", \"a boba shop\"], \"text_template_based\": \"On 2010/02/19, I took Theodore on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/02/19\", \"Theodore\"], [\"where did I go for the date on 2010/02/19\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e307\", \"logical_representation\": [\"2010/02/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/02/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/02/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e308\", \"logical_representation\": [\"2010/02/19\", \"breakfast\", \"toast and cheese\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/02/19?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2010/02/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e309\", \"logical_representation\": [\"2010/02/19\", \"Nora, Kinsley\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Nora, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley in the morning on 2010/02/19?\", \"37 minutes\"], [\"who did I talk to on 2010/02/19?\", \"Nora, Kinsley\"], [\"Did I talk to Nora, Kinsley on 2010/02/19?\", \"yes\"], [\"Did I talk to anyone on 2010/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/24\": {\"dating\": {\"eid\": \"e31\", \"logical_representation\": [\"2010/02/24\", \"Elias\", \"a park\"], \"text_template_based\": \"On 2010/02/24, I took Elias on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/02/24\", \"Elias\"], [\"where did I go for the date on 2010/02/24\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e322\", \"logical_representation\": [\"2010/02/24\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/02/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/02/24?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e323\", \"logical_representation\": [\"2010/02/24\", \"lunch\", \"pasta\", \"Willow\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/02/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e324\", \"logical_representation\": [\"2010/02/24\", \"dinner\", \"steak\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had steak for dinner with Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/02/24?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for dinner on 2010/02/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e325\", \"logical_representation\": [\"2010/02/24\", \"Avery, Eva\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Avery, Eva for 52 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva in the early evening on 2010/02/24?\", \"52 minutes\"], [\"who did I talk to on 2010/02/24?\", \"Avery, Eva\"], [\"Did I talk to Avery, Eva on 2010/02/24?\", \"yes\"], [\"Did I talk to anyone on 2010/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e326\", \"logical_representation\": [\"2010/02/24\", \"Piper, Hazel, Claire\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Claire for 17 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Claire during lunch hours on 2010/02/24?\", \"17 minutes\"], [\"who did I talk to on 2010/02/24?\", \"Piper, Hazel, Claire\"], [\"Did I talk to Piper, Hazel, Claire on 2010/02/24?\", \"yes\"], [\"Did I talk to anyone on 2010/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/23\": {\"grocery\": {\"eid\": \"e32\", \"logical_representation\": [\"2010/02/23\", \"I bought some apples, bananas, blackberries, pears, apple juice, coffee, toothbrush, body lotion, paper towel, shampoo online.\", \"apples, bananas, blackberries, pears\", \"apple juice, coffee\", \"toothbrush, body lotion, paper towel, shampoo\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I bought some apples, bananas, blackberries, pears, apple juice, coffee, toothbrush, body lotion, paper towel, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/02/23?\", \"apples, bananas, blackberries, pears, apple juice, coffee, and toothbrush, body lotion, paper towel, shampoo\"], [\"what fruits did I buy online on 2010/02/23?\", \"apples, bananas, blackberries, pears\"], [\"what drinks did I buy online on 2010/02/23?\", \"apple juice, coffee\"], [\"what toiletries did I buy online on 2010/02/23?\", \"toothbrush, body lotion, paper towel, shampoo\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e321\", \"logical_representation\": [\"2010/02/23\", \"Nevaeh\", \"in the late afternoon\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the late afternoon on 2010/02/23?\", \"8 minutes\"], [\"who did I talk to on 2010/02/23?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2010/02/23?\", \"yes\"], [\"Did I talk to anyone on 2010/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/01\": {\"dating\": {\"eid\": \"e33\", \"logical_representation\": [\"2010/03/01\", \"Carson\", \"a park\"], \"text_template_based\": \"On 2010/03/01, I took Carson on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/03/01\", \"Carson\"], [\"where did I go for the date on 2010/03/01\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e343\", \"logical_representation\": [\"2010/03/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/03/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e344\", \"logical_representation\": [\"2010/03/01\", \"lunch\", \"tacos\", \"Jackson\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e345\", \"logical_representation\": [\"2010/03/01\", \"Nora, Layla, Avery, Kinsley\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Nora, Layla, Avery, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Avery, Kinsley in the early afternoon on 2010/03/01?\", \"31 minutes\"], [\"who did I talk to on 2010/03/01?\", \"Nora, Layla, Avery, Kinsley\"], [\"Did I talk to Nora, Layla, Avery, Kinsley on 2010/03/01?\", \"yes\"], [\"Did I talk to anyone on 2010/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e346\", \"logical_representation\": [\"2010/03/01\", \"Layla, Avery, Piper, Claire\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Layla, Avery, Piper, Claire for 33 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Piper, Claire in the late afternoon on 2010/03/01?\", \"33 minutes\"], [\"who did I talk to on 2010/03/01?\", \"Layla, Avery, Piper, Claire\"], [\"Did I talk to Layla, Avery, Piper, Claire on 2010/03/01?\", \"yes\"], [\"Did I talk to anyone on 2010/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e347\", \"logical_representation\": [\"2010/03/01\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/01?\", \"39 minutes\"], [\"what did I watch on tv on 2010/03/01?\", \"a movie\"], [\"Did I watch tv on 2010/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/04\": {\"hobbies\": {\"eid\": \"e34\", \"logical_representation\": [\"2010/03/04\", \"I spent time learning a language on 2010/03/04 with Avery.\", \"learning a language\", \"Avery\"], \"text_template_based\": \"I spent time learning a language on 2010/03/04 with Avery.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Avery?\", \"2010/03/04\"], [\"On 2010/03/04, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2010/03/04?\", \"Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e354\", \"logical_representation\": [\"2010/03/04\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/03/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/04?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e355\", \"logical_representation\": [\"2010/03/04\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/03/04?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2010/03/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e356\", \"logical_representation\": [\"2010/03/04\", \"lunch\", \"indian food\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had indian food for lunch with Kayden, Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/03/04?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for lunch on 2010/03/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e357\", \"logical_representation\": [\"2010/03/04\", \"Eva\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I talked to Eva for 43 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2010/03/04?\", \"43 minutes\"], [\"who did I talk to on 2010/03/04?\", \"Eva\"], [\"Did I talk to Eva on 2010/03/04?\", \"yes\"], [\"Did I talk to anyone on 2010/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e358\", \"logical_representation\": [\"2010/03/04\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/03/04?\", \"25 minutes\"], [\"what did I read on 2010/03/04?\", \"social media\"], [\"Did I read on 2010/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/26\": {\"grocery\": {\"eid\": \"e35\", \"logical_representation\": [\"2010/02/26\", \"I went grocery shopping with Andrew, Carter, Emily. I bought some pineapples, cherres, sports drinks, and conditioner, body lotion, paper towel, toothbrush\", \"pineapples, cherres\", \"sports drinks\", \"conditioner, body lotion, paper towel, toothbrush\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I went grocery shopping with Andrew, Carter, Emily. I bought some pineapples, cherres, sports drinks, and conditioner, body lotion, paper towel, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/02/26?\", \"pineapples, cherres, sports drinks, and conditioner, body lotion, paper towel, toothbrush\"], [\"what fruits did I buy from the grocery store on 2010/02/26?\", \"pineapples, cherres\"], [\"what drinks did I buy from the grocery store on 2010/02/26?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2010/02/26?\", \"conditioner, body lotion, paper towel, toothbrush\"], [\"who was with me at the grocery store on 2010/02/26?\", \"Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e331\", \"logical_representation\": [\"2010/02/26\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/02/26?\", \"Emily\"], [\"what did I eat for breakfast on 2010/02/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e332\", \"logical_representation\": [\"2010/02/26\", \"dinner\", \"pasta\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/02/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e333\", \"logical_representation\": [\"2010/02/26\", \"news\", \"27 minutes\"], \"text_template_based\": \"I watched news for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/26?\", \"27 minutes\"], [\"what did I watch on tv on 2010/02/26?\", \"news\"], [\"Did I watch tv on 2010/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/05\": {\"hobbies\": {\"eid\": \"e36\", \"logical_representation\": [\"2010/03/05\", \"I spent some time learning a language on 2010/03/05.\", \"learning a language\", \"Lydia, Nevaeh\"], \"text_template_based\": \"I spent some time learning a language on 2010/03/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2010/03/05\"], [\"On 2010/03/05, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e359\", \"logical_representation\": [\"2010/03/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/03/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e360\", \"logical_representation\": [\"2010/03/05\", \"breakfast\", \"peanut-butter-jam\", \"Nevaeh, Layla, Piper, Kinsley, Olivia, Eva, Avery, Lydia, Claire\"], \"text_template_based\": \"I had breakfast with Nevaeh, Layla, Piper, Kinsley, Olivia, Eva, Avery, Lydia, Claire. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/03/05?\", \"Nevaeh, Layla, Piper, Kinsley, Olivia, Eva, Avery, Lydia, Claire\"], [\"what did I eat for breakfast on 2010/03/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e361\", \"logical_representation\": [\"2010/03/05\", \"Piper, Nevaeh, Kinsley, Avery\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Piper, Nevaeh, Kinsley, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Kinsley, Avery in the late afternoon on 2010/03/05?\", \"44 minutes\"], [\"who did I talk to on 2010/03/05?\", \"Piper, Nevaeh, Kinsley, Avery\"], [\"Did I talk to Piper, Nevaeh, Kinsley, Avery on 2010/03/05?\", \"yes\"], [\"Did I talk to anyone on 2010/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e362\", \"logical_representation\": [\"2010/03/05\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/03/05?\", \"30 minutes\"], [\"what did I read on 2010/03/05?\", \"social media\"], [\"Did I read on 2010/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/11\": {\"hobbies\": {\"eid\": \"e37\", \"logical_representation\": [\"2010/03/11\", \"I really enjoyed gardening on 2010/03/11\", \"gardening\", \"Claire\"], \"text_template_based\": \"I really enjoyed gardening on 2010/03/11\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2010/03/11\"], [\"On 2010/03/11, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e385\", \"logical_representation\": [\"2010/03/11\", \"running\"], \"text_template_based\": \"I did running on 2010/03/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e386\", \"logical_representation\": [\"2010/03/11\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/03/11?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2010/03/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e387\", \"logical_representation\": [\"2010/03/11\", \"lunch\", \"chinese food\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e388\", \"logical_representation\": [\"2010/03/11\", \"dinner\", \"fish and chips\", \"Kayden, Emily\"], \"text_template_based\": \"I had fish and chips for dinner with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/03/11?\", \"Kayden, Emily\"], [\"what did I eat for dinner on 2010/03/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e389\", \"logical_representation\": [\"2010/03/11\", \"Olivia, Kinsley\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley for 13 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley in the late afternoon on 2010/03/11?\", \"13 minutes\"], [\"who did I talk to on 2010/03/11?\", \"Olivia, Kinsley\"], [\"Did I talk to Olivia, Kinsley on 2010/03/11?\", \"yes\"], [\"Did I talk to anyone on 2010/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e390\", \"logical_representation\": [\"2010/03/11\", \"Kinsley, Piper, Avery\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Kinsley, Piper, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Avery in the morning on 2010/03/11?\", \"44 minutes\"], [\"who did I talk to on 2010/03/11?\", \"Kinsley, Piper, Avery\"], [\"Did I talk to Kinsley, Piper, Avery on 2010/03/11?\", \"yes\"], [\"Did I talk to anyone on 2010/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e391\", \"logical_representation\": [\"2010/03/11\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/03/11?\", \"37 minutes\"], [\"what did I read on 2010/03/11?\", \"social media\"], [\"Did I read on 2010/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e392\", \"logical_representation\": [\"2010/03/11\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/11?\", \"50 minutes\"], [\"what did I watch on tv on 2010/03/11?\", \"a documentary\"], [\"Did I watch tv on 2010/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/10\": {\"grocery\": {\"eid\": \"e38\", \"logical_representation\": [\"2010/03/10\", \"I bought some oranges, apples, blueberries, tea, mineral water, paper towel, toothpaste, facial wash, mouth wash online.\", \"oranges, apples, blueberries\", \"tea, mineral water\", \"paper towel, toothpaste, facial wash, mouth wash\", \"Carter, Emily\"], \"text_template_based\": \"I bought some oranges, apples, blueberries, tea, mineral water, paper towel, toothpaste, facial wash, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/03/10?\", \"oranges, apples, blueberries, tea, mineral water, and paper towel, toothpaste, facial wash, mouth wash\"], [\"what fruits did I buy online on 2010/03/10?\", \"oranges, apples, blueberries\"], [\"what drinks did I buy online on 2010/03/10?\", \"tea, mineral water\"], [\"what toiletries did I buy online on 2010/03/10?\", \"paper towel, toothpaste, facial wash, mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e379\", \"logical_representation\": [\"2010/03/10\", \"breakfast\", \"pancakes\", \"Benjamin\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/03/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e380\", \"logical_representation\": [\"2010/03/10\", \"dinner\", \"tacos\", \"Carter, Emily\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e381\", \"logical_representation\": [\"2010/03/10\", \"Claire, Layla, Piper, Hazel\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Claire, Layla, Piper, Hazel for 40 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Piper, Hazel in the late afternoon on 2010/03/10?\", \"40 minutes\"], [\"who did I talk to on 2010/03/10?\", \"Claire, Layla, Piper, Hazel\"], [\"Did I talk to Claire, Layla, Piper, Hazel on 2010/03/10?\", \"yes\"], [\"Did I talk to anyone on 2010/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e382\", \"logical_representation\": [\"2010/03/10\", \"Nevaeh, Claire, Olivia\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Nevaeh, Claire, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire, Olivia in the late afternoon on 2010/03/10?\", \"18 minutes\"], [\"who did I talk to on 2010/03/10?\", \"Nevaeh, Claire, Olivia\"], [\"Did I talk to Nevaeh, Claire, Olivia on 2010/03/10?\", \"yes\"], [\"Did I talk to anyone on 2010/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e383\", \"logical_representation\": [\"2010/03/10\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/03/10?\", \"43 minutes\"], [\"what did I read on 2010/03/10?\", \"a book\"], [\"Did I read on 2010/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e384\", \"logical_representation\": [\"2010/03/10\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I watched a tv series for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/10?\", \"42 minutes\"], [\"what did I watch on tv on 2010/03/10?\", \"a tv series\"], [\"Did I watch tv on 2010/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/15\": {\"dating\": {\"eid\": \"e39\", \"logical_representation\": [\"2010/03/15\", \"Lydia\", \"a boba shop\"], \"text_template_based\": \"On 2010/03/15, I took Lydia on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/03/15\", \"Lydia\"], [\"where did I go for the date on 2010/03/15\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e41\", \"logical_representation\": [\"2010/03/15\", \"I went grocery shopping. I bought some nectarines, sports drinks, and body lotion, mouth wash, mouthwash, toilet paper\", \"nectarines\", \"sports drinks\", \"body lotion, mouth wash, mouthwash, toilet paper\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some nectarines, sports drinks, and body lotion, mouth wash, mouthwash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/03/15?\", \"nectarines, sports drinks, and body lotion, mouth wash, mouthwash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2010/03/15?\", \"nectarines\"], [\"what drinks did I buy from the grocery store on 2010/03/15?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2010/03/15?\", \"body lotion, mouth wash, mouthwash, toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e405\", \"logical_representation\": [\"2010/03/15\", \"running\"], \"text_template_based\": \"I did running on 2010/03/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e406\", \"logical_representation\": [\"2010/03/15\", \"breakfast\", \"oatmeal\", \"Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Carter, Andrew. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/03/15?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2010/03/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e407\", \"logical_representation\": [\"2010/03/15\", \"Eva, Hazel, Lydia\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel, Lydia for 20 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Lydia late in the evening on 2010/03/15?\", \"20 minutes\"], [\"who did I talk to on 2010/03/15?\", \"Eva, Hazel, Lydia\"], [\"Did I talk to Eva, Hazel, Lydia on 2010/03/15?\", \"yes\"], [\"Did I talk to anyone on 2010/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e408\", \"logical_representation\": [\"2010/03/15\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/15?\", \"33 minutes\"], [\"what did I watch on tv on 2010/03/15?\", \"a tv series\"], [\"Did I watch tv on 2010/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/14\": {\"hobbies\": {\"eid\": \"e40\", \"logical_representation\": [\"2010/03/14\", \"I spent some time learning a language on 2010/03/14.\", \"learning a language\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I spent some time learning a language on 2010/03/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2010/03/14\"], [\"On 2010/03/14, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e400\", \"logical_representation\": [\"2010/03/14\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/03/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/14?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e401\", \"logical_representation\": [\"2010/03/14\", \"lunch\", \"indian food\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Andrew, Emily, Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/03/14?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for lunch on 2010/03/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e402\", \"logical_representation\": [\"2010/03/14\", \"Claire\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2010/03/14?\", \"29 minutes\"], [\"who did I talk to on 2010/03/14?\", \"Claire\"], [\"Did I talk to Claire on 2010/03/14?\", \"yes\"], [\"Did I talk to anyone on 2010/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e403\", \"logical_representation\": [\"2010/03/14\", \"Eva\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Eva for 54 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2010/03/14?\", \"54 minutes\"], [\"who did I talk to on 2010/03/14?\", \"Eva\"], [\"Did I talk to Eva on 2010/03/14?\", \"yes\"], [\"Did I talk to anyone on 2010/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e404\", \"logical_representation\": [\"2010/03/14\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/03/14?\", \"6 minutes\"], [\"what did I read on 2010/03/14?\", \"news\"], [\"Did I read on 2010/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/25\": {\"dating\": {\"eid\": \"e42\", \"logical_representation\": [\"2010/03/25\", \"Dominic\", \"a boba shop\"], \"text_template_based\": \"On 2010/03/25, I took Dominic on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/03/25\", \"Dominic\"], [\"where did I go for the date on 2010/03/25\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e447\", \"logical_representation\": [\"2010/03/25\", \"Kinsley, Avery, Lydia, Claire\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Kinsley, Avery, Lydia, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Lydia, Claire late in the evening on 2010/03/25?\", \"34 minutes\"], [\"who did I talk to on 2010/03/25?\", \"Kinsley, Avery, Lydia, Claire\"], [\"Did I talk to Kinsley, Avery, Lydia, Claire on 2010/03/25?\", \"yes\"], [\"Did I talk to anyone on 2010/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e448\", \"logical_representation\": [\"2010/03/25\", \"Layla\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the late afternoon on 2010/03/25?\", \"49 minutes\"], [\"who did I talk to on 2010/03/25?\", \"Layla\"], [\"Did I talk to Layla on 2010/03/25?\", \"yes\"], [\"Did I talk to anyone on 2010/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e449\", \"logical_representation\": [\"2010/03/25\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/03/25?\", \"9 minutes\"], [\"what did I read on 2010/03/25?\", \"a book\"], [\"Did I read on 2010/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/24\": {\"grocery\": {\"eid\": \"e43\", \"logical_representation\": [\"2010/03/24\", \"I bought some blueberries, pineapples, apples, watermelons, mineral water, tea, toilet paper, mouth wash, facial wash from the grocery store. I saw Carter, Kayden, Andrew, Emily at the grocery store.\", \"blueberries, pineapples, apples, watermelons\", \"mineral water, tea\", \"toilet paper, mouth wash, facial wash\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I bought some blueberries, pineapples, apples, watermelons, mineral water, tea, toilet paper, mouth wash, facial wash from the grocery store. I saw Carter, Kayden, Andrew, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/03/24?\", \"blueberries, pineapples, apples, watermelons, mineral water, tea, and toilet paper, mouth wash, facial wash\"], [\"what fruits did I buy from the grocery store on 2010/03/24?\", \"blueberries, pineapples, apples, watermelons\"], [\"what drinks did I buy from the grocery store on 2010/03/24?\", \"mineral water, tea\"], [\"what toiletries did I buy from the grocery store on 2010/03/24?\", \"toilet paper, mouth wash, facial wash\"], [\"who did I see at the grocery store on 2010/03/24?\", \"Carter, Kayden, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e441\", \"logical_representation\": [\"2010/03/24\", \"lunch\", \"fish and chips\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e442\", \"logical_representation\": [\"2010/03/24\", \"dinner\", \"chinese food\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e443\", \"logical_representation\": [\"2010/03/24\", \"Claire, Nevaeh, Hazel\", \"in the early evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Claire, Nevaeh, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Hazel in the early evening on 2010/03/24?\", \"36 minutes\"], [\"who did I talk to on 2010/03/24?\", \"Claire, Nevaeh, Hazel\"], [\"Did I talk to Claire, Nevaeh, Hazel on 2010/03/24?\", \"yes\"], [\"Did I talk to anyone on 2010/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e444\", \"logical_representation\": [\"2010/03/24\", \"Kinsley, Olivia, Piper, Nora\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Kinsley, Olivia, Piper, Nora for 24 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Piper, Nora in the late afternoon on 2010/03/24?\", \"24 minutes\"], [\"who did I talk to on 2010/03/24?\", \"Kinsley, Olivia, Piper, Nora\"], [\"Did I talk to Kinsley, Olivia, Piper, Nora on 2010/03/24?\", \"yes\"], [\"Did I talk to anyone on 2010/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e445\", \"logical_representation\": [\"2010/03/24\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/03/24?\", \"43 minutes\"], [\"what did I read on 2010/03/24?\", \"a book\"], [\"Did I read on 2010/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e446\", \"logical_representation\": [\"2010/03/24\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I watched a tv series for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/24?\", \"12 minutes\"], [\"what did I watch on tv on 2010/03/24?\", \"a tv series\"], [\"Did I watch tv on 2010/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/28\": {\"grocery\": {\"eid\": \"e44\", \"logical_representation\": [\"2010/03/28\", \"I bought some clementines, mangos, pineapples, apricots, mineral water, chocolate milk, mango juice, toilet paper, toothbrush online.\", \"clementines, mangos, pineapples, apricots\", \"mineral water, chocolate milk, mango juice\", \"toilet paper, toothbrush\", \"Kayden\"], \"text_template_based\": \"I bought some clementines, mangos, pineapples, apricots, mineral water, chocolate milk, mango juice, toilet paper, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/03/28?\", \"clementines, mangos, pineapples, apricots, mineral water, chocolate milk, mango juice, and toilet paper, toothbrush\"], [\"what fruits did I buy online on 2010/03/28?\", \"clementines, mangos, pineapples, apricots\"], [\"what drinks did I buy online on 2010/03/28?\", \"mineral water, chocolate milk, mango juice\"], [\"what toiletries did I buy online on 2010/03/28?\", \"toilet paper, toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e461\", \"logical_representation\": [\"2010/03/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/03/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e462\", \"logical_representation\": [\"2010/03/28\", \"breakfast\", \"cereals\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/03/28?\", \"Emily, Carter, Kayden\"], [\"what did I eat for breakfast on 2010/03/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e463\", \"logical_representation\": [\"2010/03/28\", \"lunch\", \"indian food\", \"Nevaeh, Eva, Avery, Kinsley, Nora, Lydia, Layla, Olivia\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e464\", \"logical_representation\": [\"2010/03/28\", \"Avery, Hazel, Claire\", \"in the early evening\", \"8 minutes\"], \"text_template_based\": \"I talked to Avery, Hazel, Claire for 8 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Claire in the early evening on 2010/03/28?\", \"8 minutes\"], [\"who did I talk to on 2010/03/28?\", \"Avery, Hazel, Claire\"], [\"Did I talk to Avery, Hazel, Claire on 2010/03/28?\", \"yes\"], [\"Did I talk to anyone on 2010/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e465\", \"logical_representation\": [\"2010/03/28\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I watched a movie for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/28?\", \"12 minutes\"], [\"what did I watch on tv on 2010/03/28?\", \"a movie\"], [\"Did I watch tv on 2010/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/29\": {\"grocery\": {\"eid\": \"e45\", \"logical_representation\": [\"2010/03/29\", \"I bought some nectarines, apricots, pears, mineral water, mango juice, coffee, pineapple juice, mouth wash, body lotion, conditioner online.\", \"nectarines, apricots, pears\", \"mineral water, mango juice, coffee, pineapple juice\", \"mouth wash, body lotion, conditioner\", \"Emily\"], \"text_template_based\": \"I bought some nectarines, apricots, pears, mineral water, mango juice, coffee, pineapple juice, mouth wash, body lotion, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/03/29?\", \"nectarines, apricots, pears, mineral water, mango juice, coffee, pineapple juice, and mouth wash, body lotion, conditioner\"], [\"what fruits did I buy online on 2010/03/29?\", \"nectarines, apricots, pears\"], [\"what drinks did I buy online on 2010/03/29?\", \"mineral water, mango juice, coffee, pineapple juice\"], [\"what toiletries did I buy online on 2010/03/29?\", \"mouth wash, body lotion, conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e466\", \"logical_representation\": [\"2010/03/29\", \"breakfast\", \"oatmeal\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/03/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e467\", \"logical_representation\": [\"2010/03/29\", \"lunch\", \"sandwich\", \"Lydia, Layla, Rylee, Nevaeh, Eva, Piper, Claire, Avery, Olivia, Hazel, Nora\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e468\", \"logical_representation\": [\"2010/03/29\", \"Kinsley, Lydia\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia during lunch hours on 2010/03/29?\", \"26 minutes\"], [\"who did I talk to on 2010/03/29?\", \"Kinsley, Lydia\"], [\"Did I talk to Kinsley, Lydia on 2010/03/29?\", \"yes\"], [\"Did I talk to anyone on 2010/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e469\", \"logical_representation\": [\"2010/03/29\", \"Lydia, Piper\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper for 51 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper in the early evening on 2010/03/29?\", \"51 minutes\"], [\"who did I talk to on 2010/03/29?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2010/03/29?\", \"yes\"], [\"Did I talk to anyone on 2010/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e470\", \"logical_representation\": [\"2010/03/29\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/03/29?\", \"49 minutes\"], [\"what did I read on 2010/03/29?\", \"a book\"], [\"Did I read on 2010/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/07\": {\"dating\": {\"eid\": \"e46\", \"logical_representation\": [\"2010/04/07\", \"Grace\", \"a park\"], \"text_template_based\": \"I went on a date with Grace on 2010/04/07 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/04/07\", \"Grace\"], [\"where did I go for the date on 2010/04/07\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e503\", \"logical_representation\": [\"2010/04/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/04/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e504\", \"logical_representation\": [\"2010/04/07\", \"lunch\", \"tacos\", \"Jackson, Willow\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e505\", \"logical_representation\": [\"2010/04/07\", \"Piper, Avery, Lydia, Nora\", \"during lunch hours\", \"16 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Lydia, Nora for 16 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Lydia, Nora during lunch hours on 2010/04/07?\", \"16 minutes\"], [\"who did I talk to on 2010/04/07?\", \"Piper, Avery, Lydia, Nora\"], [\"Did I talk to Piper, Avery, Lydia, Nora on 2010/04/07?\", \"yes\"], [\"Did I talk to anyone on 2010/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e506\", \"logical_representation\": [\"2010/04/07\", \"news\", \"32 minutes\"], \"text_template_based\": \"I watched news for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/07?\", \"32 minutes\"], [\"what did I watch on tv on 2010/04/07?\", \"news\"], [\"Did I watch tv on 2010/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/05\": {\"hobbies\": {\"eid\": \"e47\", \"logical_representation\": [\"2010/04/05\", \"I spent time gardening on 2010/04/05 with Kayden.\", \"gardening\", \"Kayden\"], \"text_template_based\": \"I spent time gardening on 2010/04/05 with Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Kayden?\", \"2010/04/05\"], [\"On 2010/04/05, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2010/04/05?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e497\", \"logical_representation\": [\"2010/04/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e498\", \"logical_representation\": [\"2010/04/05\", \"lunch\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e499\", \"logical_representation\": [\"2010/04/05\", \"Olivia, Layla, Hazel\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Olivia, Layla, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Hazel in the early evening on 2010/04/05?\", \"25 minutes\"], [\"who did I talk to on 2010/04/05?\", \"Olivia, Layla, Hazel\"], [\"Did I talk to Olivia, Layla, Hazel on 2010/04/05?\", \"yes\"], [\"Did I talk to anyone on 2010/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/15\": {\"hobbies\": {\"eid\": \"e48\", \"logical_representation\": [\"2010/04/15\", \"I really enjoyed yoga on 2010/04/15\", \"yoga\", \"Avery, Lydia\"], \"text_template_based\": \"I really enjoyed yoga on 2010/04/15\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2010/04/15\"], [\"On 2010/04/15, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e537\", \"logical_representation\": [\"2010/04/15\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/04/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/15?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e538\", \"logical_representation\": [\"2010/04/15\", \"Layla\", \"in the morning\", \"21 minutes\"], \"text_template_based\": \"I talked to Layla for 21 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2010/04/15?\", \"21 minutes\"], [\"who did I talk to on 2010/04/15?\", \"Layla\"], [\"Did I talk to Layla on 2010/04/15?\", \"yes\"], [\"Did I talk to anyone on 2010/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/19\": {\"dating\": {\"eid\": \"e49\", \"logical_representation\": [\"2010/04/19\", \"Miles\", \"a boba shop\"], \"text_template_based\": \"On 2010/04/19, I took Miles on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/04/19\", \"Miles\"], [\"where did I go for the date on 2010/04/19\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e556\", \"logical_representation\": [\"2010/04/19\", \"lunch\", \"tacos\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e557\", \"logical_representation\": [\"2010/04/19\", \"dinner\", \"chinese food\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Emily, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/04/19?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for dinner on 2010/04/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e558\", \"logical_representation\": [\"2010/04/19\", \"Avery, Lydia, Piper\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia, Piper for 15 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Piper in the early afternoon on 2010/04/19?\", \"15 minutes\"], [\"who did I talk to on 2010/04/19?\", \"Avery, Lydia, Piper\"], [\"Did I talk to Avery, Lydia, Piper on 2010/04/19?\", \"yes\"], [\"Did I talk to anyone on 2010/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e559\", \"logical_representation\": [\"2010/04/19\", \"Lydia, Piper, Hazel, Olivia\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Hazel, Olivia for 55 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Hazel, Olivia in the late afternoon on 2010/04/19?\", \"55 minutes\"], [\"who did I talk to on 2010/04/19?\", \"Lydia, Piper, Hazel, Olivia\"], [\"Did I talk to Lydia, Piper, Hazel, Olivia on 2010/04/19?\", \"yes\"], [\"Did I talk to anyone on 2010/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/27\": {\"dating\": {\"eid\": \"e50\", \"logical_representation\": [\"2010/04/27\", \"Aurora\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Aurora on 2010/04/27 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/04/27\", \"Aurora\"], [\"where did I go for the date on 2010/04/27\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e584\", \"logical_representation\": [\"2010/04/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/04/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e585\", \"logical_representation\": [\"2010/04/27\", \"breakfast\", \"toast and cheese\", \"Rylee, Hazel, Layla, Avery, Claire, Eva\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/04/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e586\", \"logical_representation\": [\"2010/04/27\", \"lunch\", \"steak\", \"Piper\"], \"text_template_based\": \"I had steak for lunch with Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/04/27?\", \"Piper\"], [\"what did I eat for lunch on 2010/04/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e587\", \"logical_representation\": [\"2010/04/27\", \"Nora, Claire, Layla, Olivia\", \"during lunch hours\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Nora, Claire, Layla, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Layla, Olivia during lunch hours on 2010/04/27?\", \"16 minutes\"], [\"who did I talk to on 2010/04/27?\", \"Nora, Claire, Layla, Olivia\"], [\"Did I talk to Nora, Claire, Layla, Olivia on 2010/04/27?\", \"yes\"], [\"Did I talk to anyone on 2010/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e588\", \"logical_representation\": [\"2010/04/27\", \"Layla\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Layla for 54 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the late afternoon on 2010/04/27?\", \"54 minutes\"], [\"who did I talk to on 2010/04/27?\", \"Layla\"], [\"Did I talk to Layla on 2010/04/27?\", \"yes\"], [\"Did I talk to anyone on 2010/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e589\", \"logical_representation\": [\"2010/04/27\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/04/27?\", \"30 minutes\"], [\"what did I read on 2010/04/27?\", \"social media\"], [\"Did I read on 2010/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/25\": {\"hobbies\": {\"eid\": \"e51\", \"logical_representation\": [\"2010/04/25\", \"I spent some time meditation on 2010/04/25.\", \"meditation\", \"Benjamin, Willow\"], \"text_template_based\": \"I spent some time meditation on 2010/04/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2010/04/25\"], [\"On 2010/04/25, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e577\", \"logical_representation\": [\"2010/04/25\", \"lunch\", \"chinese food\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e578\", \"logical_representation\": [\"2010/04/25\", \"dinner\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/04/25?\", \"Emily\"], [\"what did I eat for dinner on 2010/04/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e579\", \"logical_representation\": [\"2010/04/25\", \"Nevaeh\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2010/04/25?\", \"29 minutes\"], [\"who did I talk to on 2010/04/25?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2010/04/25?\", \"yes\"], [\"Did I talk to anyone on 2010/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e580\", \"logical_representation\": [\"2010/04/25\", \"a movie\", \"42 minutes\"], \"text_template_based\": \"I watched a movie for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/25?\", \"42 minutes\"], [\"what did I watch on tv on 2010/04/25?\", \"a movie\"], [\"Did I watch tv on 2010/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/26\": {\"hobbies\": {\"eid\": \"e52\", \"logical_representation\": [\"2010/04/26\", \"I spent time meditation on 2010/04/26 with Nevaeh.\", \"meditation\", \"Nevaeh\"], \"text_template_based\": \"I spent time meditation on 2010/04/26 with Nevaeh.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Nevaeh?\", \"2010/04/26\"], [\"On 2010/04/26, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2010/04/26?\", \"Nevaeh\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e581\", \"logical_representation\": [\"2010/04/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/04/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e582\", \"logical_representation\": [\"2010/04/26\", \"dinner\", \"tacos\", \"Nevaeh, Kinsley, Avery\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/04/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e583\", \"logical_representation\": [\"2010/04/26\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/04/26?\", \"28 minutes\"], [\"what did I read on 2010/04/26?\", \"news\"], [\"Did I read on 2010/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/04\": {\"grocery\": {\"eid\": \"e53\", \"logical_representation\": [\"2010/05/04\", \"I went grocery shopping. I bought some pineapples, mangos, blackberries, strawberries, chocolate milk, and facial wash, mouth wash, toilet paper, mouthwash\", \"pineapples, mangos, blackberries, strawberries\", \"chocolate milk\", \"facial wash, mouth wash, toilet paper, mouthwash\", \"Piper, Nevaeh, Lydia, Claire\"], \"text_template_based\": \"I went grocery shopping. I bought some pineapples, mangos, blackberries, strawberries, chocolate milk, and facial wash, mouth wash, toilet paper, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/05/04?\", \"pineapples, mangos, blackberries, strawberries, chocolate milk, and facial wash, mouth wash, toilet paper, mouthwash\"], [\"what fruits did I buy from the grocery store on 2010/05/04?\", \"pineapples, mangos, blackberries, strawberries\"], [\"what drinks did I buy from the grocery store on 2010/05/04?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2010/05/04?\", \"facial wash, mouth wash, toilet paper, mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e608\", \"logical_representation\": [\"2010/05/04\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/05/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/04?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e609\", \"logical_representation\": [\"2010/05/04\", \"lunch\", \"sandwich\", \"Piper, Claire, Olivia, Nevaeh, Rylee, Piper, Hazel, Lydia, Avery, Nora, Kinsley, Eva, Layla\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e610\", \"logical_representation\": [\"2010/05/04\", \"dinner\", \"a burger\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e611\", \"logical_representation\": [\"2010/05/04\", \"Avery, Olivia, Layla\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia, Layla for 40 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Layla late in the evening on 2010/05/04?\", \"40 minutes\"], [\"who did I talk to on 2010/05/04?\", \"Avery, Olivia, Layla\"], [\"Did I talk to Avery, Olivia, Layla on 2010/05/04?\", \"yes\"], [\"Did I talk to anyone on 2010/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e612\", \"logical_representation\": [\"2010/05/04\", \"Hazel\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I talked to Hazel for 17 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2010/05/04?\", \"17 minutes\"], [\"who did I talk to on 2010/05/04?\", \"Hazel\"], [\"Did I talk to Hazel on 2010/05/04?\", \"yes\"], [\"Did I talk to anyone on 2010/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/13\": {\"dating\": {\"eid\": \"e54\", \"logical_representation\": [\"2010/05/13\", \"Santiago \", \"a park\"], \"text_template_based\": \"On 2010/05/13, I took Santiago  on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/05/13\", \"Santiago \"], [\"where did I go for the date on 2010/05/13\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e639\", \"logical_representation\": [\"2010/05/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/05/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e640\", \"logical_representation\": [\"2010/05/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/05/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e641\", \"logical_representation\": [\"2010/05/13\", \"dinner\", \"indian food\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Emily, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/05/13?\", \"Kayden, Emily, Carter\"], [\"what did I eat for dinner on 2010/05/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e642\", \"logical_representation\": [\"2010/05/13\", \"Claire, Layla, Eva\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Claire, Layla, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Eva in the early evening on 2010/05/13?\", \"32 minutes\"], [\"who did I talk to on 2010/05/13?\", \"Claire, Layla, Eva\"], [\"Did I talk to Claire, Layla, Eva on 2010/05/13?\", \"yes\"], [\"Did I talk to anyone on 2010/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e643\", \"logical_representation\": [\"2010/05/13\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/05/13?\", \"12 minutes\"], [\"what did I read on 2010/05/13?\", \"news\"], [\"Did I read on 2010/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/09\": {\"hobbies\": {\"eid\": \"e55\", \"logical_representation\": [\"2010/05/09\", \"I spent some time meditation on 2010/05/09.\", \"meditation\", \"Emily\"], \"text_template_based\": \"I spent some time meditation on 2010/05/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2010/05/09\"], [\"On 2010/05/09, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e623\", \"logical_representation\": [\"2010/05/09\", \"breakfast\", \"oatmeal\", \"Lydia\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/05/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e624\", \"logical_representation\": [\"2010/05/09\", \"dinner\", \"steak\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e625\", \"logical_representation\": [\"2010/05/09\", \"Rylee, Kinsley, Eva\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Rylee, Kinsley, Eva for 11 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Eva in the late afternoon on 2010/05/09?\", \"11 minutes\"], [\"who did I talk to on 2010/05/09?\", \"Rylee, Kinsley, Eva\"], [\"Did I talk to Rylee, Kinsley, Eva on 2010/05/09?\", \"yes\"], [\"Did I talk to anyone on 2010/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/11\": {\"hobbies\": {\"eid\": \"e56\", \"logical_representation\": [\"2010/05/11\", \"I really enjoyed learning a language on 2010/05/11\", \"learning a language\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I really enjoyed learning a language on 2010/05/11\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2010/05/11\"], [\"On 2010/05/11, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e632\", \"logical_representation\": [\"2010/05/11\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Layla, Claire, Eva, Nora, Hazel, Nevaeh, Olivia\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Piper, Layla, Claire, Eva, Nora, Hazel, Nevaeh, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/05/11?\", \"Piper, Layla, Claire, Eva, Nora, Hazel, Nevaeh, Olivia\"], [\"what did I eat for breakfast on 2010/05/11\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e633\", \"logical_representation\": [\"2010/05/11\", \"lunch\", \"sandwich\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had sandwich for lunch with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/05/11?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2010/05/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e634\", \"logical_representation\": [\"2010/05/11\", \"dinner\", \"sandwich\", \"Claire, Avery, Eva, Nora, Lydia, Rylee, Piper, Layla, Nevaeh, Kinsley, Piper, Olivia\"], \"text_template_based\": \"I had dinner with Claire, Avery, Eva, Nora, Lydia, Rylee, Piper, Layla, Nevaeh, Kinsley, Piper, Olivia. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/05/11?\", \"Claire, Avery, Eva, Nora, Lydia, Rylee, Piper, Layla, Nevaeh, Kinsley, Piper, Olivia\"], [\"what did I eat for dinner on 2010/05/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2010/05/10\": {\"grocery\": {\"eid\": \"e57\", \"logical_representation\": [\"2010/05/10\", \"I went grocery shopping. I bought some blackberries, cherres, milk, guava juice, and conditioner, body lotion\", \"blackberries, cherres\", \"milk, guava juice\", \"conditioner, body lotion\", \"Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some blackberries, cherres, milk, guava juice, and conditioner, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/05/10?\", \"blackberries, cherres, milk, guava juice, and conditioner, body lotion\"], [\"what fruits did I buy from the grocery store on 2010/05/10?\", \"blackberries, cherres\"], [\"what drinks did I buy from the grocery store on 2010/05/10?\", \"milk, guava juice\"], [\"what toiletries did I buy from the grocery store on 2010/05/10?\", \"conditioner, body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e626\", \"logical_representation\": [\"2010/05/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/05/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e627\", \"logical_representation\": [\"2010/05/10\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/05/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e628\", \"logical_representation\": [\"2010/05/10\", \"lunch\", \"sandwich\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e629\", \"logical_representation\": [\"2010/05/10\", \"dinner\", \"steak\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e630\", \"logical_representation\": [\"2010/05/10\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/05/10?\", \"55 minutes\"], [\"what did I read on 2010/05/10?\", \"news\"], [\"Did I read on 2010/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e631\", \"logical_representation\": [\"2010/05/10\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/10?\", \"37 minutes\"], [\"what did I watch on tv on 2010/05/10?\", \"news\"], [\"Did I watch tv on 2010/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/14\": {\"grocery\": {\"eid\": \"e58\", \"logical_representation\": [\"2010/05/14\", \"I went grocery shopping with Rylee, Olivia, Piper, Eva, Layla, Nora, Lydia. I bought some cherres, apples, milk, orange juice, and mouth wash, facial wash, toothpaste, conditioner\", \"cherres, apples\", \"milk, orange juice\", \"mouth wash, facial wash, toothpaste, conditioner\", \"Rylee, Olivia, Piper, Eva, Layla, Nora, Lydia\"], \"text_template_based\": \"I went grocery shopping with Rylee, Olivia, Piper, Eva, Layla, Nora, Lydia. I bought some cherres, apples, milk, orange juice, and mouth wash, facial wash, toothpaste, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/05/14?\", \"cherres, apples, milk, orange juice, and mouth wash, facial wash, toothpaste, conditioner\"], [\"what fruits did I buy from the grocery store on 2010/05/14?\", \"cherres, apples\"], [\"what drinks did I buy from the grocery store on 2010/05/14?\", \"milk, orange juice\"], [\"what toiletries did I buy from the grocery store on 2010/05/14?\", \"mouth wash, facial wash, toothpaste, conditioner\"], [\"who was with me at the grocery store on 2010/05/14?\", \"Rylee, Olivia, Piper, Eva, Layla, Nora, Lydia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e644\", \"logical_representation\": [\"2010/05/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/05/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e645\", \"logical_representation\": [\"2010/05/14\", \"lunch\", \"steak\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e646\", \"logical_representation\": [\"2010/05/14\", \"Olivia, Piper\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper for 16 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper in the early afternoon on 2010/05/14?\", \"16 minutes\"], [\"who did I talk to on 2010/05/14?\", \"Olivia, Piper\"], [\"Did I talk to Olivia, Piper on 2010/05/14?\", \"yes\"], [\"Did I talk to anyone on 2010/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/21\": {\"dating\": {\"eid\": \"e59\", \"logical_representation\": [\"2010/05/21\", \"Theodore\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Theodore on 2010/05/21 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/05/21\", \"Theodore\"], [\"where did I go for the date on 2010/05/21\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e666\", \"logical_representation\": [\"2010/05/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Kinsley, Lydia, Layla, Hazel, Olivia, Rylee, Piper, Avery, Piper, Claire, Nora\"], \"text_template_based\": \"I had breakfast with Nevaeh, Kinsley, Lydia, Layla, Hazel, Olivia, Rylee, Piper, Avery, Piper, Claire, Nora. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/05/21?\", \"Nevaeh, Kinsley, Lydia, Layla, Hazel, Olivia, Rylee, Piper, Avery, Piper, Claire, Nora\"], [\"what did I eat for breakfast on 2010/05/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e667\", \"logical_representation\": [\"2010/05/21\", \"lunch\", \"sandwich\", \"Kayden, Emily\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2010/05/23\": {\"grocery\": {\"eid\": \"e60\", \"logical_representation\": [\"2010/05/23\", \"I bought some pears, blackberries, guava, mineral water, orange juice, toothpaste, shaving cream from the grocery store. I saw Carter, Kayden, Andrew, Emily at the grocery store.\", \"pears, blackberries, guava\", \"mineral water, orange juice\", \"toothpaste, shaving cream\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I bought some pears, blackberries, guava, mineral water, orange juice, toothpaste, shaving cream from the grocery store. I saw Carter, Kayden, Andrew, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/05/23?\", \"pears, blackberries, guava, mineral water, orange juice, and toothpaste, shaving cream\"], [\"what fruits did I buy from the grocery store on 2010/05/23?\", \"pears, blackberries, guava\"], [\"what drinks did I buy from the grocery store on 2010/05/23?\", \"mineral water, orange juice\"], [\"what toiletries did I buy from the grocery store on 2010/05/23?\", \"toothpaste, shaving cream\"], [\"who did I see at the grocery store on 2010/05/23?\", \"Carter, Kayden, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e675\", \"logical_representation\": [\"2010/05/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/05/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e676\", \"logical_representation\": [\"2010/05/23\", \"lunch\", \"tacos\", \"Layla, Piper, Piper, Eva, Claire, Nevaeh, Olivia, Kinsley, Avery\"], \"text_template_based\": \"I had tacos for lunch with Layla, Piper, Piper, Eva, Claire, Nevaeh, Olivia, Kinsley, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/05/23?\", \"Layla, Piper, Piper, Eva, Claire, Nevaeh, Olivia, Kinsley, Avery\"], [\"what did I eat for lunch on 2010/05/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e677\", \"logical_representation\": [\"2010/05/23\", \"dinner\", \"a burger\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e678\", \"logical_representation\": [\"2010/05/23\", \"Claire, Piper, Lydia\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Lydia for 35 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Lydia during lunch hours on 2010/05/23?\", \"35 minutes\"], [\"who did I talk to on 2010/05/23?\", \"Claire, Piper, Lydia\"], [\"Did I talk to Claire, Piper, Lydia on 2010/05/23?\", \"yes\"], [\"Did I talk to anyone on 2010/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e679\", \"logical_representation\": [\"2010/05/23\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/23?\", \"25 minutes\"], [\"what did I watch on tv on 2010/05/23?\", \"news\"], [\"Did I watch tv on 2010/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/01\": {\"dating\": {\"eid\": \"e61\", \"logical_representation\": [\"2010/06/01\", \"Christian\", \"a coffee Shop\"], \"text_template_based\": \"On 2010/06/01, I took Christian on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/06/01\", \"Christian\"], [\"where did I go for the date on 2010/06/01\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e62\", \"logical_representation\": [\"2010/06/01\", \"I bought some mangos, cherres, soda, mineral water, pineapple juice, chocolate milk, mouth wash online.\", \"mangos, cherres\", \"soda, mineral water, pineapple juice, chocolate milk\", \"mouth wash\", \"Carter\"], \"text_template_based\": \"I bought some mangos, cherres, soda, mineral water, pineapple juice, chocolate milk, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/06/01?\", \"mangos, cherres, soda, mineral water, pineapple juice, chocolate milk, and mouth wash\"], [\"what fruits did I buy online on 2010/06/01?\", \"mangos, cherres\"], [\"what drinks did I buy online on 2010/06/01?\", \"soda, mineral water, pineapple juice, chocolate milk\"], [\"what toiletries did I buy online on 2010/06/01?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e706\", \"logical_representation\": [\"2010/06/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/06/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2010/06/06\": {\"hobbies\": {\"eid\": \"e63\", \"logical_representation\": [\"2010/06/06\", \"I spent some time gardening on 2010/06/06.\", \"gardening\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I spent some time gardening on 2010/06/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2010/06/06\"], [\"On 2010/06/06, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e722\", \"logical_representation\": [\"2010/06/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/06/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e723\", \"logical_representation\": [\"2010/06/06\", \"lunch\", \"steak\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/06/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e724\", \"logical_representation\": [\"2010/06/06\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/06/06?\", \"26 minutes\"], [\"what did I read on 2010/06/06?\", \"news\"], [\"Did I read on 2010/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e725\", \"logical_representation\": [\"2010/06/06\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/06?\", \"27 minutes\"], [\"what did I watch on tv on 2010/06/06?\", \"a tv series\"], [\"Did I watch tv on 2010/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/08\": {\"hobbies\": {\"eid\": \"e64\", \"logical_representation\": [\"2010/06/08\", \"I really enjoyed learning a language on 2010/06/08\", \"learning a language\", \"Avery\"], \"text_template_based\": \"I really enjoyed learning a language on 2010/06/08\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2010/06/08\"], [\"On 2010/06/08, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e729\", \"logical_representation\": [\"2010/06/08\", \"lunch\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/06/08?\", \"Emily\"], [\"what did I eat for lunch on 2010/06/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e730\", \"logical_representation\": [\"2010/06/08\", \"Avery\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Avery for 28 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2010/06/08?\", \"28 minutes\"], [\"who did I talk to on 2010/06/08?\", \"Avery\"], [\"Did I talk to Avery on 2010/06/08?\", \"yes\"], [\"Did I talk to anyone on 2010/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e731\", \"logical_representation\": [\"2010/06/08\", \"Piper, Nevaeh\", \"in the early afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh for 14 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh in the early afternoon on 2010/06/08?\", \"14 minutes\"], [\"who did I talk to on 2010/06/08?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2010/06/08?\", \"yes\"], [\"Did I talk to anyone on 2010/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e732\", \"logical_representation\": [\"2010/06/08\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/06/08?\", \"16 minutes\"], [\"what did I read on 2010/06/08?\", \"a book\"], [\"Did I read on 2010/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e733\", \"logical_representation\": [\"2010/06/08\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/08?\", \"11 minutes\"], [\"what did I watch on tv on 2010/06/08?\", \"a movie\"], [\"Did I watch tv on 2010/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/05\": {\"grocery\": {\"eid\": \"e65\", \"logical_representation\": [\"2010/06/05\", \"I bought some guava, blueberries, coffee, milk, chocolate milk, mouth wash, mouthwash, facial wash from the grocery store. I saw Olivia, Claire, Hazel, Nevaeh at the grocery store.\", \"guava, blueberries\", \"coffee, milk, chocolate milk\", \"mouth wash, mouthwash, facial wash\", \"Olivia, Claire, Hazel, Nevaeh\"], \"text_template_based\": \"I bought some guava, blueberries, coffee, milk, chocolate milk, mouth wash, mouthwash, facial wash from the grocery store. I saw Olivia, Claire, Hazel, Nevaeh at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/06/05?\", \"guava, blueberries, coffee, milk, chocolate milk, and mouth wash, mouthwash, facial wash\"], [\"what fruits did I buy from the grocery store on 2010/06/05?\", \"guava, blueberries\"], [\"what drinks did I buy from the grocery store on 2010/06/05?\", \"coffee, milk, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2010/06/05?\", \"mouth wash, mouthwash, facial wash\"], [\"who did I see at the grocery store on 2010/06/05?\", \"Olivia, Claire, Hazel, Nevaeh\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e717\", \"logical_representation\": [\"2010/06/05\", \"biking\"], \"text_template_based\": \"I did biking on 2010/06/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/05?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e718\", \"logical_representation\": [\"2010/06/05\", \"breakfast\", \"pancakes\", \"Claire, Hazel, Layla, Piper, Nevaeh, Piper, Nora, Rylee, Lydia\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/05\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e719\", \"logical_representation\": [\"2010/06/05\", \"lunch\", \"a burger\", \"Hazel, Layla, Avery\"], \"text_template_based\": \"I had lunch with Hazel, Layla, Avery. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/06/05?\", \"Hazel, Layla, Avery\"], [\"what did I eat for lunch on 2010/06/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e720\", \"logical_representation\": [\"2010/06/05\", \"dinner\", \"tacos\", \"Rylee, Hazel, Nevaeh, Kinsley, Eva, Piper, Avery\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/06/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e721\", \"logical_representation\": [\"2010/06/05\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/06/05?\", \"42 minutes\"], [\"what did I read on 2010/06/05?\", \"news\"], [\"Did I read on 2010/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/14\": {\"dating\": {\"eid\": \"e66\", \"logical_representation\": [\"2010/06/14\", \"Jordan\", \"a park\"], \"text_template_based\": \"I went on a date with Jordan on 2010/06/14 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/06/14\", \"Jordan\"], [\"where did I go for the date on 2010/06/14\", \"a park\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e754\", \"logical_representation\": [\"2010/06/14\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/06/14?\", \"54 minutes\"], [\"what did I read on 2010/06/14?\", \"a book\"], [\"Did I read on 2010/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/17\": {\"hobbies\": {\"eid\": \"e67\", \"logical_representation\": [\"2010/06/17\", \"I spent time meditation on 2010/06/17 with Jackson.\", \"meditation\", \"Jackson\"], \"text_template_based\": \"I spent time meditation on 2010/06/17 with Jackson.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Jackson?\", \"2010/06/17\"], [\"On 2010/06/17, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2010/06/17?\", \"Jackson\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e763\", \"logical_representation\": [\"2010/06/17\", \"running\"], \"text_template_based\": \"I did running on 2010/06/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e764\", \"logical_representation\": [\"2010/06/17\", \"breakfast\", \"peanut-butter-jam\", \"Hazel, Olivia, Avery, Kinsley, Rylee, Piper, Layla, Piper, Nevaeh, Lydia\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e765\", \"logical_representation\": [\"2010/06/17\", \"dinner\", \"steak\", \"Andrew, Emily\"], \"text_template_based\": \"I had steak for dinner with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/06/17?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2010/06/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e766\", \"logical_representation\": [\"2010/06/17\", \"Eva, Nevaeh, Avery, Piper\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Eva, Nevaeh, Avery, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Avery, Piper during lunch hours on 2010/06/17?\", \"31 minutes\"], [\"who did I talk to on 2010/06/17?\", \"Eva, Nevaeh, Avery, Piper\"], [\"Did I talk to Eva, Nevaeh, Avery, Piper on 2010/06/17?\", \"yes\"], [\"Did I talk to anyone on 2010/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/25\": {\"hobbies\": {\"eid\": \"e68\", \"logical_representation\": [\"2010/06/25\", \"I spent some time gardening on 2010/06/25.\", \"gardening\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I spent some time gardening on 2010/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2010/06/25\"], [\"On 2010/06/25, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e794\", \"logical_representation\": [\"2010/06/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e795\", \"logical_representation\": [\"2010/06/25\", \"lunch\", \"steak\", \"Nevaeh, Olivia\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/06/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e796\", \"logical_representation\": [\"2010/06/25\", \"Nevaeh, Piper, Eva, Avery\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Eva, Avery for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Eva, Avery in the early evening on 2010/06/25?\", \"39 minutes\"], [\"who did I talk to on 2010/06/25?\", \"Nevaeh, Piper, Eva, Avery\"], [\"Did I talk to Nevaeh, Piper, Eva, Avery on 2010/06/25?\", \"yes\"], [\"Did I talk to anyone on 2010/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e797\", \"logical_representation\": [\"2010/06/25\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/25?\", \"7 minutes\"], [\"what did I watch on tv on 2010/06/25?\", \"a movie\"], [\"Did I watch tv on 2010/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/30\": {\"grocery\": {\"eid\": \"e69\", \"logical_representation\": [\"2010/06/30\", \"I bought some cherres, pineapples, peaches, guava, orange juice, shampoo online.\", \"cherres, pineapples, peaches, guava\", \"orange juice\", \"shampoo\", \"Nevaeh, Eva, Avery, Piper, Rylee, Hazel, Layla, Nora, Kinsley, Claire, Olivia, Lydia\"], \"text_template_based\": \"I bought some cherres, pineapples, peaches, guava, orange juice, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/06/30?\", \"cherres, pineapples, peaches, guava, orange juice, and shampoo\"], [\"what fruits did I buy online on 2010/06/30?\", \"cherres, pineapples, peaches, guava\"], [\"what drinks did I buy online on 2010/06/30?\", \"orange juice\"], [\"what toiletries did I buy online on 2010/06/30?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e813\", \"logical_representation\": [\"2010/06/30\", \"breakfast\", \"toast and cheese\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e814\", \"logical_representation\": [\"2010/06/30\", \"lunch\", \"sandwich\", \"Piper\"], \"text_template_based\": \"I had lunch with Piper. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/06/30?\", \"Piper\"], [\"what did I eat for lunch on 2010/06/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e815\", \"logical_representation\": [\"2010/06/30\", \"dinner\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/06/30?\", \"Carter\"], [\"what did I eat for dinner on 2010/06/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e816\", \"logical_representation\": [\"2010/06/30\", \"Piper, Kinsley, Piper, Hazel\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Piper, Kinsley, Piper, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Piper, Hazel in the early evening on 2010/06/30?\", \"53 minutes\"], [\"who did I talk to on 2010/06/30?\", \"Piper, Kinsley, Piper, Hazel\"], [\"Did I talk to Piper, Kinsley, Piper, Hazel on 2010/06/30?\", \"yes\"], [\"Did I talk to anyone on 2010/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/02\": {\"hobbies\": {\"eid\": \"e70\", \"logical_representation\": [\"2010/07/02\", \"I spent time yoga on 2010/07/02 with Kayden, Carter.\", \"yoga\", \"Kayden, Carter\"], \"text_template_based\": \"I spent time yoga on 2010/07/02 with Kayden, Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Kayden, Carter?\", \"2010/07/02\"], [\"On 2010/07/02, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2010/07/02?\", \"Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e819\", \"logical_representation\": [\"2010/07/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/07/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e820\", \"logical_representation\": [\"2010/07/02\", \"Nora, Layla, Kinsley, Olivia\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I talked to Nora, Layla, Kinsley, Olivia for 22 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Kinsley, Olivia in the morning on 2010/07/02?\", \"22 minutes\"], [\"who did I talk to on 2010/07/02?\", \"Nora, Layla, Kinsley, Olivia\"], [\"Did I talk to Nora, Layla, Kinsley, Olivia on 2010/07/02?\", \"yes\"], [\"Did I talk to anyone on 2010/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/17\": {\"dating\": {\"eid\": \"e71\", \"logical_representation\": [\"2010/07/17\", \"Isabella\", \"a park\"], \"text_template_based\": \"On 2010/07/17, I took Isabella on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/07/17\", \"Isabella\"], [\"where did I go for the date on 2010/07/17\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e73\", \"logical_representation\": [\"2010/07/17\", \"I went grocery shopping with Claire, Kinsley, Hazel, Rylee, Avery, Piper, Piper, Eva. I bought some oranges, sports drinks, and paper towel, toilet paper, toothpaste, body lotion\", \"oranges\", \"sports drinks\", \"paper towel, toilet paper, toothpaste, body lotion\", \"Claire, Kinsley, Hazel, Rylee, Avery, Piper, Piper, Eva\"], \"text_template_based\": \"I went grocery shopping with Claire, Kinsley, Hazel, Rylee, Avery, Piper, Piper, Eva. I bought some oranges, sports drinks, and paper towel, toilet paper, toothpaste, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/07/17?\", \"oranges, sports drinks, and paper towel, toilet paper, toothpaste, body lotion\"], [\"what fruits did I buy from the grocery store on 2010/07/17?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2010/07/17?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2010/07/17?\", \"paper towel, toilet paper, toothpaste, body lotion\"], [\"who was with me at the grocery store on 2010/07/17?\", \"Claire, Kinsley, Hazel, Rylee, Avery, Piper, Piper, Eva\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e874\", \"logical_representation\": [\"2010/07/17\", \"biking\"], \"text_template_based\": \"I did biking on 2010/07/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e875\", \"logical_representation\": [\"2010/07/17\", \"Hazel\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2010/07/17?\", \"15 minutes\"], [\"who did I talk to on 2010/07/17?\", \"Hazel\"], [\"Did I talk to Hazel on 2010/07/17?\", \"yes\"], [\"Did I talk to anyone on 2010/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/22\": {\"dating\": {\"eid\": \"e72\", \"logical_representation\": [\"2010/07/22\", \"Alexander\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Alexander on 2010/07/22 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/07/22\", \"Alexander\"], [\"where did I go for the date on 2010/07/22\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e892\", \"logical_representation\": [\"2010/07/22\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/07/22?\", \"52 minutes\"], [\"what did I read on 2010/07/22?\", \"a book\"], [\"Did I read on 2010/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/20\": {\"grocery\": {\"eid\": \"e74\", \"logical_representation\": [\"2010/07/20\", \"I bought some blueberries, tea, apple juice, mineral water, shampoo, shaving cream, facial wash, toothbrush online.\", \"blueberries\", \"tea, apple juice, mineral water\", \"shampoo, shaving cream, facial wash, toothbrush\", \"Nevaeh, Olivia, Rylee, Hazel, Piper, Kinsley, Avery, Layla, Nora\"], \"text_template_based\": \"I bought some blueberries, tea, apple juice, mineral water, shampoo, shaving cream, facial wash, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/07/20?\", \"blueberries, tea, apple juice, mineral water, and shampoo, shaving cream, facial wash, toothbrush\"], [\"what fruits did I buy online on 2010/07/20?\", \"blueberries\"], [\"what drinks did I buy online on 2010/07/20?\", \"tea, apple juice, mineral water\"], [\"what toiletries did I buy online on 2010/07/20?\", \"shampoo, shaving cream, facial wash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e885\", \"logical_representation\": [\"2010/07/20\", \"lunch\", \"indian food\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/07/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e886\", \"logical_representation\": [\"2010/07/20\", \"Nevaeh, Nora, Eva, Hazel\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Nevaeh, Nora, Eva, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Eva, Hazel in the early afternoon on 2010/07/20?\", \"10 minutes\"], [\"who did I talk to on 2010/07/20?\", \"Nevaeh, Nora, Eva, Hazel\"], [\"Did I talk to Nevaeh, Nora, Eva, Hazel on 2010/07/20?\", \"yes\"], [\"Did I talk to anyone on 2010/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e887\", \"logical_representation\": [\"2010/07/20\", \"Avery\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I talked to Avery for 18 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery during lunch hours on 2010/07/20?\", \"18 minutes\"], [\"who did I talk to on 2010/07/20?\", \"Avery\"], [\"Did I talk to Avery on 2010/07/20?\", \"yes\"], [\"Did I talk to anyone on 2010/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e888\", \"logical_representation\": [\"2010/07/20\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/07/20?\", \"35 minutes\"], [\"what did I read on 2010/07/20?\", \"social media\"], [\"Did I read on 2010/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e889\", \"logical_representation\": [\"2010/07/20\", \"a documentary\", \"19 minutes\"], \"text_template_based\": \"I watched a documentary for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/20?\", \"19 minutes\"], [\"what did I watch on tv on 2010/07/20?\", \"a documentary\"], [\"Did I watch tv on 2010/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/27\": {\"dating\": {\"eid\": \"e75\", \"logical_representation\": [\"2010/07/27\", \"Charles\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Charles on 2010/07/27 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/07/27\", \"Charles\"], [\"where did I go for the date on 2010/07/27\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e906\", \"logical_representation\": [\"2010/07/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/07/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e907\", \"logical_representation\": [\"2010/07/27\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e908\", \"logical_representation\": [\"2010/07/27\", \"dinner\", \"sandwich\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/07/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e909\", \"logical_representation\": [\"2010/07/27\", \"Olivia, Kinsley, Piper, Eva\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Olivia, Kinsley, Piper, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Piper, Eva in the early evening on 2010/07/27?\", \"47 minutes\"], [\"who did I talk to on 2010/07/27?\", \"Olivia, Kinsley, Piper, Eva\"], [\"Did I talk to Olivia, Kinsley, Piper, Eva on 2010/07/27?\", \"yes\"], [\"Did I talk to anyone on 2010/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/05\": {\"grocery\": {\"eid\": \"e76\", \"logical_representation\": [\"2010/08/05\", \"I bought some apples, raspberries, blackberries, mineral water, toothbrush, toilet paper, toothpaste online.\", \"apples, raspberries, blackberries\", \"mineral water\", \"toothbrush, toilet paper, toothpaste\", \"Eva, Nora, Rylee, Piper, Nevaeh, Hazel, Piper, Layla, Avery, Olivia, Kinsley, Lydia, Claire\"], \"text_template_based\": \"I bought some apples, raspberries, blackberries, mineral water, toothbrush, toilet paper, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/08/05?\", \"apples, raspberries, blackberries, mineral water, and toothbrush, toilet paper, toothpaste\"], [\"what fruits did I buy online on 2010/08/05?\", \"apples, raspberries, blackberries\"], [\"what drinks did I buy online on 2010/08/05?\", \"mineral water\"], [\"what toiletries did I buy online on 2010/08/05?\", \"toothbrush, toilet paper, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e949\", \"logical_representation\": [\"2010/08/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/08/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e950\", \"logical_representation\": [\"2010/08/05\", \"breakfast\", \"pancakes\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had pancakes for breakfast with Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/08/05?\", \"Emily, Carter, Kayden\"], [\"what did I eat for breakfast on 2010/08/05\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e951\", \"logical_representation\": [\"2010/08/05\", \"lunch\", \"sandwich\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/08/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e952\", \"logical_representation\": [\"2010/08/05\", \"dinner\", \"sushi\", \"Claire, Layla, Rylee, Piper\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e953\", \"logical_representation\": [\"2010/08/05\", \"Olivia, Kinsley, Avery\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley, Avery for 36 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Avery late in the evening on 2010/08/05?\", \"36 minutes\"], [\"who did I talk to on 2010/08/05?\", \"Olivia, Kinsley, Avery\"], [\"Did I talk to Olivia, Kinsley, Avery on 2010/08/05?\", \"yes\"], [\"Did I talk to anyone on 2010/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/11\": {\"dating\": {\"eid\": \"e77\", \"logical_representation\": [\"2010/08/11\", \"Willow\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Willow on 2010/08/11 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/08/11\", \"Willow\"], [\"where did I go for the date on 2010/08/11\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e78\", \"logical_representation\": [\"2010/08/11\", \"I spent time working out on 2010/08/11 with Rylee.\", \"working out\", \"Rylee\"], \"text_template_based\": \"I spent time working out on 2010/08/11 with Rylee.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Rylee?\", \"2010/08/11\"], [\"On 2010/08/11, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2010/08/11?\", \"Rylee\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e975\", \"logical_representation\": [\"2010/08/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/08/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e976\", \"logical_representation\": [\"2010/08/11\", \"lunch\", \"fish and chips\", \"Nora, Olivia, Nevaeh, Claire, Avery, Kinsley, Rylee, Piper, Layla, Hazel\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/08/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e977\", \"logical_representation\": [\"2010/08/11\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/08/11?\", \"54 minutes\"], [\"what did I read on 2010/08/11?\", \"a book\"], [\"Did I read on 2010/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/06\": {\"grocery\": {\"eid\": \"e79\", \"logical_representation\": [\"2010/08/06\", \"I bought some clementines, mangos, oranges, pineapple juice, soda, mouth wash online.\", \"clementines, mangos, oranges\", \"pineapple juice, soda\", \"mouth wash\", \"Rylee, Lydia, Avery, Piper, Hazel, Olivia, Nora, Eva, Claire, Layla, Nevaeh, Piper, Kinsley\"], \"text_template_based\": \"I bought some clementines, mangos, oranges, pineapple juice, soda, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/08/06?\", \"clementines, mangos, oranges, pineapple juice, soda, and mouth wash\"], [\"what fruits did I buy online on 2010/08/06?\", \"clementines, mangos, oranges\"], [\"what drinks did I buy online on 2010/08/06?\", \"pineapple juice, soda\"], [\"what toiletries did I buy online on 2010/08/06?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e954\", \"logical_representation\": [\"2010/08/06\", \"breakfast\", \"toast and cheese\", \"Avery, Jackson\"], \"text_template_based\": \"I had breakfast with Avery, Jackson. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/08/06?\", \"Avery, Jackson\"], [\"what did I eat for breakfast on 2010/08/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e955\", \"logical_representation\": [\"2010/08/06\", \"Avery, Layla, Eva\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Avery, Layla, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Eva in the early afternoon on 2010/08/06?\", \"28 minutes\"], [\"who did I talk to on 2010/08/06?\", \"Avery, Layla, Eva\"], [\"Did I talk to Avery, Layla, Eva on 2010/08/06?\", \"yes\"], [\"Did I talk to anyone on 2010/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e956\", \"logical_representation\": [\"2010/08/06\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/08/06?\", \"19 minutes\"], [\"what did I read on 2010/08/06?\", \"news\"], [\"Did I read on 2010/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/10\": {\"grocery\": {\"eid\": \"e80\", \"logical_representation\": [\"2010/08/10\", \"I went grocery shopping. I bought some apricots, pineapple juice, and toilet paper, shampoo\", \"apricots\", \"pineapple juice\", \"toilet paper, shampoo\", \"Piper, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, pineapple juice, and toilet paper, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/08/10?\", \"apricots, pineapple juice, and toilet paper, shampoo\"], [\"what fruits did I buy from the grocery store on 2010/08/10?\", \"apricots\"], [\"what drinks did I buy from the grocery store on 2010/08/10?\", \"pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2010/08/10?\", \"toilet paper, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e972\", \"logical_representation\": [\"2010/08/10\", \"running\"], \"text_template_based\": \"I did running on 2010/08/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/10?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e973\", \"logical_representation\": [\"2010/08/10\", \"dinner\", \"steak\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner with Carter, Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/08/10?\", \"Carter, Emily\"], [\"what did I eat for dinner on 2010/08/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e974\", \"logical_representation\": [\"2010/08/10\", \"Piper, Olivia\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia for 31 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the early afternoon on 2010/08/10?\", \"31 minutes\"], [\"who did I talk to on 2010/08/10?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2010/08/10?\", \"yes\"], [\"Did I talk to anyone on 2010/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/13\": {\"hobbies\": {\"eid\": \"e81\", \"logical_representation\": [\"2010/08/13\", \"I spent some time learning a language on 2010/08/13.\", \"learning a language\", \"Emily, Andrew\"], \"text_template_based\": \"I spent some time learning a language on 2010/08/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2010/08/13\"], [\"On 2010/08/13, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e982\", \"logical_representation\": [\"2010/08/13\", \"breakfast\", \"oatmeal\", \"Rylee, Hazel, Piper, Olivia, Kinsley, Nora, Claire, Avery, Layla, Eva, Lydia, Nevaeh, Piper\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/08/13\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2010/08/14\": {\"grocery\": {\"eid\": \"e82\", \"logical_representation\": [\"2010/08/14\", \"I bought some pears, mandarins, oranges, coffee, apple juice, orange juice, conditioner, shaving cream from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"pears, mandarins, oranges\", \"coffee, apple juice, orange juice\", \"conditioner, shaving cream\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I bought some pears, mandarins, oranges, coffee, apple juice, orange juice, conditioner, shaving cream from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/08/14?\", \"pears, mandarins, oranges, coffee, apple juice, orange juice, and conditioner, shaving cream\"], [\"what fruits did I buy from the grocery store on 2010/08/14?\", \"pears, mandarins, oranges\"], [\"what drinks did I buy from the grocery store on 2010/08/14?\", \"coffee, apple juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2010/08/14?\", \"conditioner, shaving cream\"], [\"who did I see at the grocery store on 2010/08/14?\", \"Emily, Kayden, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e983\", \"logical_representation\": [\"2010/08/14\", \"dinner\", \"fish and chips\", \"Hazel, Piper, Piper, Nora, Eva, Lydia, Kinsley, Avery, Nevaeh, Olivia, Claire, Rylee, Layla\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e984\", \"logical_representation\": [\"2010/08/14\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/08/14?\", \"9 minutes\"], [\"what did I read on 2010/08/14?\", \"social media\"], [\"Did I read on 2010/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e985\", \"logical_representation\": [\"2010/08/14\", \"news\", \"6 minutes\"], \"text_template_based\": \"I watched news for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/14?\", \"6 minutes\"], [\"what did I watch on tv on 2010/08/14?\", \"news\"], [\"Did I watch tv on 2010/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/17\": {\"grocery\": {\"eid\": \"e83\", \"logical_representation\": [\"2010/08/17\", \"I went grocery shopping with Avery, Eva, Rylee, Piper, Kinsley. I bought some cherres, clementines, sports drinks, mango juice, and shaving cream, conditioner, mouth wash\", \"cherres, clementines\", \"sports drinks, mango juice\", \"shaving cream, conditioner, mouth wash\", \"Avery, Eva, Rylee, Piper, Kinsley\"], \"text_template_based\": \"I went grocery shopping with Avery, Eva, Rylee, Piper, Kinsley. I bought some cherres, clementines, sports drinks, mango juice, and shaving cream, conditioner, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/08/17?\", \"cherres, clementines, sports drinks, mango juice, and shaving cream, conditioner, mouth wash\"], [\"what fruits did I buy from the grocery store on 2010/08/17?\", \"cherres, clementines\"], [\"what drinks did I buy from the grocery store on 2010/08/17?\", \"sports drinks, mango juice\"], [\"what toiletries did I buy from the grocery store on 2010/08/17?\", \"shaving cream, conditioner, mouth wash\"], [\"who was with me at the grocery store on 2010/08/17?\", \"Avery, Eva, Rylee, Piper, Kinsley\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e989\", \"logical_representation\": [\"2010/08/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/08/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e990\", \"logical_representation\": [\"2010/08/17\", \"breakfast\", \"pancakes\", \"Eva, Layla, Claire, Nevaeh, Piper, Olivia, Hazel\"], \"text_template_based\": \"I had breakfast with Eva, Layla, Claire, Nevaeh, Piper, Olivia, Hazel. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/08/17?\", \"Eva, Layla, Claire, Nevaeh, Piper, Olivia, Hazel\"], [\"what did I eat for breakfast on 2010/08/17\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e991\", \"logical_representation\": [\"2010/08/17\", \"dinner\", \"sandwich\", \"Hazel, Rylee, Olivia, Nora, Piper, Avery, Kinsley, Layla, Nevaeh, Lydia, Eva\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e992\", \"logical_representation\": [\"2010/08/17\", \"Olivia, Piper, Rylee\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Olivia, Piper, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Rylee in the morning on 2010/08/17?\", \"32 minutes\"], [\"who did I talk to on 2010/08/17?\", \"Olivia, Piper, Rylee\"], [\"Did I talk to Olivia, Piper, Rylee on 2010/08/17?\", \"yes\"], [\"Did I talk to anyone on 2010/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/21\": {\"dating\": {\"eid\": \"e84\", \"logical_representation\": [\"2010/08/21\", \"David\", \"a park\"], \"text_template_based\": \"On 2010/08/21, I took David on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/08/21\", \"David\"], [\"where did I go for the date on 2010/08/21\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1003\", \"logical_representation\": [\"2010/08/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/08/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1004\", \"logical_representation\": [\"2010/08/21\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Hazel, Avery, Rylee\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/08/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1005\", \"logical_representation\": [\"2010/08/21\", \"lunch\", \"sandwich\", \"Andrew, Carter\"], \"text_template_based\": \"I had sandwich for lunch with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/08/21?\", \"Andrew, Carter\"], [\"what did I eat for lunch on 2010/08/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1006\", \"logical_representation\": [\"2010/08/21\", \"Piper\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Piper for 20 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2010/08/21?\", \"20 minutes\"], [\"who did I talk to on 2010/08/21?\", \"Piper\"], [\"Did I talk to Piper on 2010/08/21?\", \"yes\"], [\"Did I talk to anyone on 2010/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1007\", \"logical_representation\": [\"2010/08/21\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/08/21?\", \"5 minutes\"], [\"what did I read on 2010/08/21?\", \"a book\"], [\"Did I read on 2010/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/01\": {\"dating\": {\"eid\": \"e86\", \"logical_representation\": [\"2010/09/01\", \"Lucas\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Lucas on 2010/09/01 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/09/01\", \"Lucas\"], [\"where did I go for the date on 2010/09/01\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1039\", \"logical_representation\": [\"2010/09/01\", \"breakfast\", \"cereals\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/09/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1040\", \"logical_representation\": [\"2010/09/01\", \"lunch\", \"steak\", \"Eva\"], \"text_template_based\": \"I had steak for lunch with Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/09/01?\", \"Eva\"], [\"what did I eat for lunch on 2010/09/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1041\", \"logical_representation\": [\"2010/09/01\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/09/01?\", \"Emily\"], [\"what did I eat for dinner on 2010/09/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1042\", \"logical_representation\": [\"2010/09/01\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/09/01?\", \"24 minutes\"], [\"what did I read on 2010/09/01?\", \"social media\"], [\"Did I read on 2010/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/27\": {\"hobbies\": {\"eid\": \"e87\", \"logical_representation\": [\"2010/08/27\", \"I spent time learning a language on 2010/08/27 with Kayden, Emily, Andrew.\", \"learning a language\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I spent time learning a language on 2010/08/27 with Kayden, Emily, Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Kayden, Emily, Andrew?\", \"2010/08/27\"], [\"On 2010/08/27, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2010/08/27?\", \"Kayden, Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1024\", \"logical_representation\": [\"2010/08/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/08/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1025\", \"logical_representation\": [\"2010/08/27\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Carter, Emily. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/08/27?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for breakfast on 2010/08/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1026\", \"logical_representation\": [\"2010/08/27\", \"news\", \"16 minutes\"], \"text_template_based\": \"I watched news for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/27?\", \"16 minutes\"], [\"what did I watch on tv on 2010/08/27?\", \"news\"], [\"Did I watch tv on 2010/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/31\": {\"grocery\": {\"eid\": \"e88\", \"logical_representation\": [\"2010/08/31\", \"I went grocery shopping. I bought some strawberries, mangos, coffee, pineapple juice, guava juice, mango juice, and toothbrush, mouthwash\", \"strawberries, mangos\", \"coffee, pineapple juice, guava juice, mango juice\", \"toothbrush, mouthwash\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some strawberries, mangos, coffee, pineapple juice, guava juice, mango juice, and toothbrush, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/08/31?\", \"strawberries, mangos, coffee, pineapple juice, guava juice, mango juice, and toothbrush, mouthwash\"], [\"what fruits did I buy from the grocery store on 2010/08/31?\", \"strawberries, mangos\"], [\"what drinks did I buy from the grocery store on 2010/08/31?\", \"coffee, pineapple juice, guava juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2010/08/31?\", \"toothbrush, mouthwash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1037\", \"logical_representation\": [\"2010/08/31\", \"Olivia\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2010/08/31?\", \"41 minutes\"], [\"who did I talk to on 2010/08/31?\", \"Olivia\"], [\"Did I talk to Olivia on 2010/08/31?\", \"yes\"], [\"Did I talk to anyone on 2010/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1038\", \"logical_representation\": [\"2010/08/31\", \"Nora\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2010/08/31?\", \"36 minutes\"], [\"who did I talk to on 2010/08/31?\", \"Nora\"], [\"Did I talk to Nora on 2010/08/31?\", \"yes\"], [\"Did I talk to anyone on 2010/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/08\": {\"grocery\": {\"eid\": \"e89\", \"logical_representation\": [\"2010/09/08\", \"I bought some cherres, sports drinks, mango juice, apple juice, guava juice, toothbrush online.\", \"cherres\", \"sports drinks, mango juice, apple juice, guava juice\", \"toothbrush\", \"Olivia, Claire\"], \"text_template_based\": \"I bought some cherres, sports drinks, mango juice, apple juice, guava juice, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/09/08?\", \"cherres, sports drinks, mango juice, apple juice, guava juice, and toothbrush\"], [\"what fruits did I buy online on 2010/09/08?\", \"cherres\"], [\"what drinks did I buy online on 2010/09/08?\", \"sports drinks, mango juice, apple juice, guava juice\"], [\"what toiletries did I buy online on 2010/09/08?\", \"toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1070\", \"logical_representation\": [\"2010/09/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/09/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1071\", \"logical_representation\": [\"2010/09/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Andrew. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/09/08?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for breakfast on 2010/09/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1072\", \"logical_representation\": [\"2010/09/08\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/08?\", \"20 minutes\"], [\"what did I watch on tv on 2010/09/08?\", \"a tv series\"], [\"Did I watch tv on 2010/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/15\": {\"dating\": {\"eid\": \"e90\", \"logical_representation\": [\"2010/09/15\", \"Daniel\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Daniel on 2010/09/15 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/09/15\", \"Daniel\"], [\"where did I go for the date on 2010/09/15\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1101\", \"logical_representation\": [\"2010/09/15\", \"biking\"], \"text_template_based\": \"I did biking on 2010/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1102\", \"logical_representation\": [\"2010/09/15\", \"Nora\", \"in the early evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Nora for 45 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2010/09/15?\", \"45 minutes\"], [\"who did I talk to on 2010/09/15?\", \"Nora\"], [\"Did I talk to Nora on 2010/09/15?\", \"yes\"], [\"Did I talk to anyone on 2010/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1103\", \"logical_representation\": [\"2010/09/15\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/09/15?\", \"18 minutes\"], [\"what did I read on 2010/09/15?\", \"news\"], [\"Did I read on 2010/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1104\", \"logical_representation\": [\"2010/09/15\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I watched a tv series for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/15?\", \"26 minutes\"], [\"what did I watch on tv on 2010/09/15?\", \"a tv series\"], [\"Did I watch tv on 2010/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/13\": {\"hobbies\": {\"eid\": \"e91\", \"logical_representation\": [\"2010/09/13\", \"I spent some time learning a language on 2010/09/13.\", \"learning a language\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I spent some time learning a language on 2010/09/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2010/09/13\"], [\"On 2010/09/13, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1094\", \"logical_representation\": [\"2010/09/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Nevaeh, Layla, Nora, Piper, Lydia, Eva, Claire, Rylee, Kinsley, Olivia\"], \"text_template_based\": \"I had breakfast with Hazel, Nevaeh, Layla, Nora, Piper, Lydia, Eva, Claire, Rylee, Kinsley, Olivia. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/09/13?\", \"Hazel, Nevaeh, Layla, Nora, Piper, Lydia, Eva, Claire, Rylee, Kinsley, Olivia\"], [\"what did I eat for breakfast on 2010/09/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1095\", \"logical_representation\": [\"2010/09/13\", \"lunch\", \"steak\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/09/13\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/09/12\": {\"grocery\": {\"eid\": \"e92\", \"logical_representation\": [\"2010/09/12\", \"I bought some pineapples, watermelons, mango juice, mineral water, milk, shampoo, conditioner, body lotion, toilet paper from the grocery store. I saw Nora, Layla, Kinsley, Rylee, Claire, Hazel at the grocery store.\", \"pineapples, watermelons\", \"mango juice, mineral water, milk\", \"shampoo, conditioner, body lotion, toilet paper\", \"Nora, Layla, Kinsley, Rylee, Claire, Hazel\"], \"text_template_based\": \"I bought some pineapples, watermelons, mango juice, mineral water, milk, shampoo, conditioner, body lotion, toilet paper from the grocery store. I saw Nora, Layla, Kinsley, Rylee, Claire, Hazel at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/09/12?\", \"pineapples, watermelons, mango juice, mineral water, milk, and shampoo, conditioner, body lotion, toilet paper\"], [\"what fruits did I buy from the grocery store on 2010/09/12?\", \"pineapples, watermelons\"], [\"what drinks did I buy from the grocery store on 2010/09/12?\", \"mango juice, mineral water, milk\"], [\"what toiletries did I buy from the grocery store on 2010/09/12?\", \"shampoo, conditioner, body lotion, toilet paper\"], [\"who did I see at the grocery store on 2010/09/12?\", \"Nora, Layla, Kinsley, Rylee, Claire, Hazel\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1088\", \"logical_representation\": [\"2010/09/12\", \"lunch\", \"tacos\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/09/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1089\", \"logical_representation\": [\"2010/09/12\", \"dinner\", \"sandwich\", \"Willow, Benjamin\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/09/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1090\", \"logical_representation\": [\"2010/09/12\", \"Piper, Layla, Claire\", \"in the morning\", \"24 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Claire for 24 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Claire in the morning on 2010/09/12?\", \"24 minutes\"], [\"who did I talk to on 2010/09/12?\", \"Piper, Layla, Claire\"], [\"Did I talk to Piper, Layla, Claire on 2010/09/12?\", \"yes\"], [\"Did I talk to anyone on 2010/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1091\", \"logical_representation\": [\"2010/09/12\", \"Avery, Lydia, Kinsley, Nora\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia, Kinsley, Nora for 34 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Kinsley, Nora during lunch hours on 2010/09/12?\", \"34 minutes\"], [\"who did I talk to on 2010/09/12?\", \"Avery, Lydia, Kinsley, Nora\"], [\"Did I talk to Avery, Lydia, Kinsley, Nora on 2010/09/12?\", \"yes\"], [\"Did I talk to anyone on 2010/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1092\", \"logical_representation\": [\"2010/09/12\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/09/12?\", \"51 minutes\"], [\"what did I read on 2010/09/12?\", \"social media\"], [\"Did I read on 2010/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1093\", \"logical_representation\": [\"2010/09/12\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/12?\", \"22 minutes\"], [\"what did I watch on tv on 2010/09/12?\", \"news\"], [\"Did I watch tv on 2010/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/18\": {\"dating\": {\"eid\": \"e93\", \"logical_representation\": [\"2010/09/18\", \"Hailey\", \"a park\"], \"text_template_based\": \"I went on a date with Hailey on 2010/09/18 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/09/18\", \"Hailey\"], [\"where did I go for the date on 2010/09/18\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1114\", \"logical_representation\": [\"2010/09/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/09/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1115\", \"logical_representation\": [\"2010/09/18\", \"Olivia, Avery, Rylee, Nevaeh\", \"late in the evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Olivia, Avery, Rylee, Nevaeh for 19 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Rylee, Nevaeh late in the evening on 2010/09/18?\", \"19 minutes\"], [\"who did I talk to on 2010/09/18?\", \"Olivia, Avery, Rylee, Nevaeh\"], [\"Did I talk to Olivia, Avery, Rylee, Nevaeh on 2010/09/18?\", \"yes\"], [\"Did I talk to anyone on 2010/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1116\", \"logical_representation\": [\"2010/09/18\", \"Nevaeh, Kinsley, Rylee, Piper\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Kinsley, Rylee, Piper for 19 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Rylee, Piper in the late afternoon on 2010/09/18?\", \"19 minutes\"], [\"who did I talk to on 2010/09/18?\", \"Nevaeh, Kinsley, Rylee, Piper\"], [\"Did I talk to Nevaeh, Kinsley, Rylee, Piper on 2010/09/18?\", \"yes\"], [\"Did I talk to anyone on 2010/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1117\", \"logical_representation\": [\"2010/09/18\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I watched a movie for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/18?\", \"13 minutes\"], [\"what did I watch on tv on 2010/09/18?\", \"a movie\"], [\"Did I watch tv on 2010/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/20\": {\"dating\": {\"eid\": \"e94\", \"logical_representation\": [\"2010/09/20\", \"Evelyn\", \"a park\"], \"text_template_based\": \"On 2010/09/20, I took Evelyn on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/09/20\", \"Evelyn\"], [\"where did I go for the date on 2010/09/20\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e95\", \"logical_representation\": [\"2010/09/20\", \"I really enjoyed meditation on 2010/09/20\", \"meditation\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I really enjoyed meditation on 2010/09/20\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2010/09/20\"], [\"On 2010/09/20, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1124\", \"logical_representation\": [\"2010/09/20\", \"breakfast\", \"cereals\", \"Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/09/20?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2010/09/20\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2010/09/21\": {\"grocery\": {\"eid\": \"e96\", \"logical_representation\": [\"2010/09/21\", \"I went grocery shopping with Kayden. I bought some nectarines, oranges, mineral water, guava juice, and conditioner, shaving cream, facial wash, toothpaste\", \"nectarines, oranges\", \"mineral water, guava juice\", \"conditioner, shaving cream, facial wash, toothpaste\", \"Kayden\"], \"text_template_based\": \"I went grocery shopping with Kayden. I bought some nectarines, oranges, mineral water, guava juice, and conditioner, shaving cream, facial wash, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/09/21?\", \"nectarines, oranges, mineral water, guava juice, and conditioner, shaving cream, facial wash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2010/09/21?\", \"nectarines, oranges\"], [\"what drinks did I buy from the grocery store on 2010/09/21?\", \"mineral water, guava juice\"], [\"what toiletries did I buy from the grocery store on 2010/09/21?\", \"conditioner, shaving cream, facial wash, toothpaste\"], [\"who was with me at the grocery store on 2010/09/21?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1125\", \"logical_representation\": [\"2010/09/21\", \"running\"], \"text_template_based\": \"I did running on 2010/09/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1126\", \"logical_representation\": [\"2010/09/21\", \"dinner\", \"steak\", \"Nora, Rylee, Claire, Piper, Olivia, Piper\"], \"text_template_based\": \"I had steak for dinner with Nora, Rylee, Claire, Piper, Olivia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/09/21?\", \"Nora, Rylee, Claire, Piper, Olivia, Piper\"], [\"what did I eat for dinner on 2010/09/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1127\", \"logical_representation\": [\"2010/09/21\", \"Piper, Claire, Lydia, Layla\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Piper, Claire, Lydia, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Lydia, Layla during lunch hours on 2010/09/21?\", \"48 minutes\"], [\"who did I talk to on 2010/09/21?\", \"Piper, Claire, Lydia, Layla\"], [\"Did I talk to Piper, Claire, Lydia, Layla on 2010/09/21?\", \"yes\"], [\"Did I talk to anyone on 2010/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1128\", \"logical_representation\": [\"2010/09/21\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/21?\", \"20 minutes\"], [\"what did I watch on tv on 2010/09/21?\", \"a tv series\"], [\"Did I watch tv on 2010/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/30\": {\"dating\": {\"eid\": \"e97\", \"logical_representation\": [\"2010/09/30\", \"Xavier\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Xavier on 2010/09/30 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/09/30\", \"Xavier\"], [\"where did I go for the date on 2010/09/30\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1162\", \"logical_representation\": [\"2010/09/30\", \"Nora, Kinsley, Nevaeh\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Nora, Kinsley, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Nevaeh in the early evening on 2010/09/30?\", \"38 minutes\"], [\"who did I talk to on 2010/09/30?\", \"Nora, Kinsley, Nevaeh\"], [\"Did I talk to Nora, Kinsley, Nevaeh on 2010/09/30?\", \"yes\"], [\"Did I talk to anyone on 2010/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1163\", \"logical_representation\": [\"2010/09/30\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/09/30?\", \"38 minutes\"], [\"what did I read on 2010/09/30?\", \"news\"], [\"Did I read on 2010/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1164\", \"logical_representation\": [\"2010/09/30\", \"news\", \"34 minutes\"], \"text_template_based\": \"I watched news for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/30?\", \"34 minutes\"], [\"what did I watch on tv on 2010/09/30?\", \"news\"], [\"Did I watch tv on 2010/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/25\": {\"grocery\": {\"eid\": \"e98\", \"logical_representation\": [\"2010/09/25\", \"I bought some watermelons, chocolate milk, coffee, pineapple juice, toothbrush online.\", \"watermelons\", \"chocolate milk, coffee, pineapple juice\", \"toothbrush\", \"Carter\"], \"text_template_based\": \"I bought some watermelons, chocolate milk, coffee, pineapple juice, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/09/25?\", \"watermelons, chocolate milk, coffee, pineapple juice, and toothbrush\"], [\"what fruits did I buy online on 2010/09/25?\", \"watermelons\"], [\"what drinks did I buy online on 2010/09/25?\", \"chocolate milk, coffee, pineapple juice\"], [\"what toiletries did I buy online on 2010/09/25?\", \"toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1140\", \"logical_representation\": [\"2010/09/25\", \"running\"], \"text_template_based\": \"I did running on 2010/09/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1141\", \"logical_representation\": [\"2010/09/25\", \"dinner\", \"chinese food\", \"Kayden, Emily\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/09/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1142\", \"logical_representation\": [\"2010/09/25\", \"Lydia, Rylee, Piper, Kinsley\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee, Piper, Kinsley for 28 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Piper, Kinsley during lunch hours on 2010/09/25?\", \"28 minutes\"], [\"who did I talk to on 2010/09/25?\", \"Lydia, Rylee, Piper, Kinsley\"], [\"Did I talk to Lydia, Rylee, Piper, Kinsley on 2010/09/25?\", \"yes\"], [\"Did I talk to anyone on 2010/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1143\", \"logical_representation\": [\"2010/09/25\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/25?\", \"41 minutes\"], [\"what did I watch on tv on 2010/09/25?\", \"news\"], [\"Did I watch tv on 2010/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/05\": {\"dating\": {\"eid\": \"e99\", \"logical_representation\": [\"2010/10/05\", \"Mike\", \"a boba shop\"], \"text_template_based\": \"On 2010/10/05, I took Mike on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/10/05\", \"Mike\"], [\"where did I go for the date on 2010/10/05\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1179\", \"logical_representation\": [\"2010/10/05\", \"lunch\", \"steak\", \"Avery, Benjamin\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/05\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/10/02\": {\"grocery\": {\"eid\": \"e100\", \"logical_representation\": [\"2010/10/02\", \"I went grocery shopping. I bought some clementines, bananas, sports drinks, milk, chocolate milk, and shaving cream, facial wash\", \"clementines, bananas\", \"sports drinks, milk, chocolate milk\", \"shaving cream, facial wash\", \"Nora, Hazel, Eva, Layla, Rylee, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some clementines, bananas, sports drinks, milk, chocolate milk, and shaving cream, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/10/02?\", \"clementines, bananas, sports drinks, milk, chocolate milk, and shaving cream, facial wash\"], [\"what fruits did I buy from the grocery store on 2010/10/02?\", \"clementines, bananas\"], [\"what drinks did I buy from the grocery store on 2010/10/02?\", \"sports drinks, milk, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2010/10/02?\", \"shaving cream, facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1167\", \"logical_representation\": [\"2010/10/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/10/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1168\", \"logical_representation\": [\"2010/10/02\", \"lunch\", \"a burger\", \"Lydia, Layla, Claire, Nevaeh, Eva, Olivia, Avery, Hazel, Rylee, Piper\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1169\", \"logical_representation\": [\"2010/10/02\", \"Rylee, Kinsley\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Rylee, Kinsley for 5 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley late in the evening on 2010/10/02?\", \"5 minutes\"], [\"who did I talk to on 2010/10/02?\", \"Rylee, Kinsley\"], [\"Did I talk to Rylee, Kinsley on 2010/10/02?\", \"yes\"], [\"Did I talk to anyone on 2010/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1170\", \"logical_representation\": [\"2010/10/02\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/02?\", \"6 minutes\"], [\"what did I watch on tv on 2010/10/02?\", \"a movie\"], [\"Did I watch tv on 2010/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/04\": {\"grocery\": {\"eid\": \"e101\", \"logical_representation\": [\"2010/10/04\", \"I went grocery shopping. I bought some strawberries, blackberries, mango juice, chocolate milk, and conditioner, toothbrush\", \"strawberries, blackberries\", \"mango juice, chocolate milk\", \"conditioner, toothbrush\", \"Jackson, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some strawberries, blackberries, mango juice, chocolate milk, and conditioner, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/10/04?\", \"strawberries, blackberries, mango juice, chocolate milk, and conditioner, toothbrush\"], [\"what fruits did I buy from the grocery store on 2010/10/04?\", \"strawberries, blackberries\"], [\"what drinks did I buy from the grocery store on 2010/10/04?\", \"mango juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2010/10/04?\", \"conditioner, toothbrush\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1175\", \"logical_representation\": [\"2010/10/04\", \"lunch\", \"pasta\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/10/04?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2010/10/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1176\", \"logical_representation\": [\"2010/10/04\", \"dinner\", \"pasta\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Kayden, Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/10/04?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for dinner on 2010/10/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1177\", \"logical_representation\": [\"2010/10/04\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/10/04?\", \"54 minutes\"], [\"what did I read on 2010/10/04?\", \"social media\"], [\"Did I read on 2010/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1178\", \"logical_representation\": [\"2010/10/04\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/04?\", \"23 minutes\"], [\"what did I watch on tv on 2010/10/04?\", \"a tv series\"], [\"Did I watch tv on 2010/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/11\": {\"hobbies\": {\"eid\": \"e102\", \"logical_representation\": [\"2010/10/11\", \"I spent time working out on 2010/10/11 with Jackson, Avery.\", \"working out\", \"Jackson, Avery\"], \"text_template_based\": \"I spent time working out on 2010/10/11 with Jackson, Avery.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Jackson, Avery?\", \"2010/10/11\"], [\"On 2010/10/11, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2010/10/11?\", \"Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1197\", \"logical_representation\": [\"2010/10/11\", \"biking\"], \"text_template_based\": \"I did biking on 2010/10/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1198\", \"logical_representation\": [\"2010/10/11\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/10/11?\", \"48 minutes\"], [\"what did I read on 2010/10/11?\", \"social media\"], [\"Did I read on 2010/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/13\": {\"grocery\": {\"eid\": \"e103\", \"logical_representation\": [\"2010/10/13\", \"I went grocery shopping with Hazel, Kinsley, Lydia, Nora, Eva, Piper, Piper. I bought some mangos, chocolate milk, guava juice, mineral water, milk, and mouth wash, toothbrush, shampoo\", \"mangos\", \"chocolate milk, guava juice, mineral water, milk\", \"mouth wash, toothbrush, shampoo\", \"Hazel, Kinsley, Lydia, Nora, Eva, Piper, Piper\"], \"text_template_based\": \"I went grocery shopping with Hazel, Kinsley, Lydia, Nora, Eva, Piper, Piper. I bought some mangos, chocolate milk, guava juice, mineral water, milk, and mouth wash, toothbrush, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/10/13?\", \"mangos, chocolate milk, guava juice, mineral water, milk, and mouth wash, toothbrush, shampoo\"], [\"what fruits did I buy from the grocery store on 2010/10/13?\", \"mangos\"], [\"what drinks did I buy from the grocery store on 2010/10/13?\", \"chocolate milk, guava juice, mineral water, milk\"], [\"what toiletries did I buy from the grocery store on 2010/10/13?\", \"mouth wash, toothbrush, shampoo\"], [\"who was with me at the grocery store on 2010/10/13?\", \"Hazel, Kinsley, Lydia, Nora, Eva, Piper, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1202\", \"logical_representation\": [\"2010/10/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/10/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1203\", \"logical_representation\": [\"2010/10/13\", \"dinner\", \"pasta\", \"Lydia, Piper, Eva, Nora, Hazel, Olivia, Claire, Rylee, Piper, Avery, Nevaeh\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/10/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1204\", \"logical_representation\": [\"2010/10/13\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/13?\", \"28 minutes\"], [\"what did I watch on tv on 2010/10/13?\", \"a movie\"], [\"Did I watch tv on 2010/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/17\": {\"dating\": {\"eid\": \"e104\", \"logical_representation\": [\"2010/10/17\", \"Carson\", \"a coffee Shop\"], \"text_template_based\": \"On 2010/10/17, I took Carson on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/10/17\", \"Carson\"], [\"where did I go for the date on 2010/10/17\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1217\", \"logical_representation\": [\"2010/10/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/10/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1218\", \"logical_representation\": [\"2010/10/17\", \"breakfast\", \"cereals\", \"Piper, Avery, Olivia, Hazel\"], \"text_template_based\": \"I had breakfast with Piper, Avery, Olivia, Hazel. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/10/17?\", \"Piper, Avery, Olivia, Hazel\"], [\"what did I eat for breakfast on 2010/10/17\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1219\", \"logical_representation\": [\"2010/10/17\", \"Olivia, Claire\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Olivia, Claire for 16 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire in the early evening on 2010/10/17?\", \"16 minutes\"], [\"who did I talk to on 2010/10/17?\", \"Olivia, Claire\"], [\"Did I talk to Olivia, Claire on 2010/10/17?\", \"yes\"], [\"Did I talk to anyone on 2010/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1220\", \"logical_representation\": [\"2010/10/17\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I watched a tv series for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/17?\", \"21 minutes\"], [\"what did I watch on tv on 2010/10/17?\", \"a tv series\"], [\"Did I watch tv on 2010/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/15\": {\"hobbies\": {\"eid\": \"e105\", \"logical_representation\": [\"2010/10/15\", \"I spent some time learning a language on 2010/10/15.\", \"learning a language\", \"Andrew, Kayden\"], \"text_template_based\": \"I spent some time learning a language on 2010/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2010/10/15\"], [\"On 2010/10/15, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e106\", \"logical_representation\": [\"2010/10/15\", \"I bought some blueberries, cherres, mangos, guava juice, soda, facial wash, toothpaste, toilet paper from the grocery store. I saw Kayden, Carter at the grocery store.\", \"blueberries, cherres, mangos\", \"guava juice, soda\", \"facial wash, toothpaste, toilet paper\", \"Kayden, Carter\"], \"text_template_based\": \"I bought some blueberries, cherres, mangos, guava juice, soda, facial wash, toothpaste, toilet paper from the grocery store. I saw Kayden, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/10/15?\", \"blueberries, cherres, mangos, guava juice, soda, and facial wash, toothpaste, toilet paper\"], [\"what fruits did I buy from the grocery store on 2010/10/15?\", \"blueberries, cherres, mangos\"], [\"what drinks did I buy from the grocery store on 2010/10/15?\", \"guava juice, soda\"], [\"what toiletries did I buy from the grocery store on 2010/10/15?\", \"facial wash, toothpaste, toilet paper\"], [\"who did I see at the grocery store on 2010/10/15?\", \"Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1209\", \"logical_representation\": [\"2010/10/15\", \"running\"], \"text_template_based\": \"I did running on 2010/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1210\", \"logical_representation\": [\"2010/10/15\", \"Nevaeh\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 15 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2010/10/15?\", \"15 minutes\"], [\"who did I talk to on 2010/10/15?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2010/10/15?\", \"yes\"], [\"Did I talk to anyone on 2010/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1211\", \"logical_representation\": [\"2010/10/15\", \"Claire, Nora\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Claire, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora in the late afternoon on 2010/10/15?\", \"13 minutes\"], [\"who did I talk to on 2010/10/15?\", \"Claire, Nora\"], [\"Did I talk to Claire, Nora on 2010/10/15?\", \"yes\"], [\"Did I talk to anyone on 2010/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1212\", \"logical_representation\": [\"2010/10/15\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/10/15?\", \"20 minutes\"], [\"what did I read on 2010/10/15?\", \"social media\"], [\"Did I read on 2010/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/28\": {\"dating\": {\"eid\": \"e107\", \"logical_representation\": [\"2010/10/28\", \"Brooklyn\", \"a restaurant\"], \"text_template_based\": \"On 2010/10/28, I took Brooklyn on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/10/28\", \"Brooklyn\"], [\"where did I go for the date on 2010/10/28\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1257\", \"logical_representation\": [\"2010/10/28\", \"dinner\", \"a burger\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner with Emily, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/10/28?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2010/10/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1258\", \"logical_representation\": [\"2010/10/28\", \"Kinsley, Nora, Hazel\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora, Hazel for 48 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Hazel during lunch hours on 2010/10/28?\", \"48 minutes\"], [\"who did I talk to on 2010/10/28?\", \"Kinsley, Nora, Hazel\"], [\"Did I talk to Kinsley, Nora, Hazel on 2010/10/28?\", \"yes\"], [\"Did I talk to anyone on 2010/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1259\", \"logical_representation\": [\"2010/10/28\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/10/28?\", \"52 minutes\"], [\"what did I read on 2010/10/28?\", \"social media\"], [\"Did I read on 2010/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/23\": {\"grocery\": {\"eid\": \"e108\", \"logical_representation\": [\"2010/10/23\", \"I bought some clementines, strawberries, cherres, guava juice, toilet paper from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\", \"clementines, strawberries, cherres\", \"guava juice\", \"toilet paper\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I bought some clementines, strawberries, cherres, guava juice, toilet paper from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/10/23?\", \"clementines, strawberries, cherres, guava juice, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2010/10/23?\", \"clementines, strawberries, cherres\"], [\"what drinks did I buy from the grocery store on 2010/10/23?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2010/10/23?\", \"toilet paper\"], [\"who did I see at the grocery store on 2010/10/23?\", \"Andrew, Carter, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1239\", \"logical_representation\": [\"2010/10/23\", \"breakfast\", \"toast and cheese\", \"Layla\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/10/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1240\", \"logical_representation\": [\"2010/10/23\", \"lunch\", \"indian food\", \"Nora, Piper\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1241\", \"logical_representation\": [\"2010/10/23\", \"dinner\", \"indian food\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had indian food for dinner with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/10/23?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for dinner on 2010/10/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1242\", \"logical_representation\": [\"2010/10/23\", \"Eva, Kinsley, Piper, Piper\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley, Piper, Piper for 20 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Piper, Piper in the morning on 2010/10/23?\", \"20 minutes\"], [\"who did I talk to on 2010/10/23?\", \"Eva, Kinsley, Piper, Piper\"], [\"Did I talk to Eva, Kinsley, Piper, Piper on 2010/10/23?\", \"yes\"], [\"Did I talk to anyone on 2010/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1243\", \"logical_representation\": [\"2010/10/23\", \"Hazel, Piper, Layla, Eva\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Hazel, Piper, Layla, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Layla, Eva in the late afternoon on 2010/10/23?\", \"44 minutes\"], [\"who did I talk to on 2010/10/23?\", \"Hazel, Piper, Layla, Eva\"], [\"Did I talk to Hazel, Piper, Layla, Eva on 2010/10/23?\", \"yes\"], [\"Did I talk to anyone on 2010/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1244\", \"logical_representation\": [\"2010/10/23\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/23?\", \"41 minutes\"], [\"what did I watch on tv on 2010/10/23?\", \"a movie\"], [\"Did I watch tv on 2010/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/27\": {\"grocery\": {\"eid\": \"e109\", \"logical_representation\": [\"2010/10/27\", \"I went grocery shopping. I bought some apricots, apples, blueberries, pears, chocolate milk, and toothpaste\", \"apricots, apples, blueberries, pears\", \"chocolate milk\", \"toothpaste\", \"Claire\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, apples, blueberries, pears, chocolate milk, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/10/27?\", \"apricots, apples, blueberries, pears, chocolate milk, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2010/10/27?\", \"apricots, apples, blueberries, pears\"], [\"what drinks did I buy from the grocery store on 2010/10/27?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2010/10/27?\", \"toothpaste\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1253\", \"logical_representation\": [\"2010/10/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/10/27?\", \"Carter\"], [\"what did I eat for breakfast on 2010/10/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1254\", \"logical_representation\": [\"2010/10/27\", \"Eva, Kinsley\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley late in the evening on 2010/10/27?\", \"37 minutes\"], [\"who did I talk to on 2010/10/27?\", \"Eva, Kinsley\"], [\"Did I talk to Eva, Kinsley on 2010/10/27?\", \"yes\"], [\"Did I talk to anyone on 2010/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1255\", \"logical_representation\": [\"2010/10/27\", \"Kinsley, Claire\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire for 46 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire late in the evening on 2010/10/27?\", \"46 minutes\"], [\"who did I talk to on 2010/10/27?\", \"Kinsley, Claire\"], [\"Did I talk to Kinsley, Claire on 2010/10/27?\", \"yes\"], [\"Did I talk to anyone on 2010/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1256\", \"logical_representation\": [\"2010/10/27\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/10/27?\", \"10 minutes\"], [\"what did I read on 2010/10/27?\", \"social media\"], [\"Did I read on 2010/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/29\": {\"grocery\": {\"eid\": \"e110\", \"logical_representation\": [\"2010/10/29\", \"I went grocery shopping. I bought some cherres, nectarines, raspberries, chocolate milk, coffee, orange juice, and paper towel, toothpaste, toothbrush, shaving cream\", \"cherres, nectarines, raspberries\", \"chocolate milk, coffee, orange juice\", \"paper towel, toothpaste, toothbrush, shaving cream\", \"Eva\"], \"text_template_based\": \"I went grocery shopping. I bought some cherres, nectarines, raspberries, chocolate milk, coffee, orange juice, and paper towel, toothpaste, toothbrush, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/10/29?\", \"cherres, nectarines, raspberries, chocolate milk, coffee, orange juice, and paper towel, toothpaste, toothbrush, shaving cream\"], [\"what fruits did I buy from the grocery store on 2010/10/29?\", \"cherres, nectarines, raspberries\"], [\"what drinks did I buy from the grocery store on 2010/10/29?\", \"chocolate milk, coffee, orange juice\"], [\"what toiletries did I buy from the grocery store on 2010/10/29?\", \"paper towel, toothpaste, toothbrush, shaving cream\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1260\", \"logical_representation\": [\"2010/10/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/10/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1261\", \"logical_representation\": [\"2010/10/29\", \"breakfast\", \"oatmeal\", \"Nevaeh, Rylee, Avery, Layla, Olivia, Kinsley\"], \"text_template_based\": \"I had oatmeal for breakfast with Nevaeh, Rylee, Avery, Layla, Olivia, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/10/29?\", \"Nevaeh, Rylee, Avery, Layla, Olivia, Kinsley\"], [\"what did I eat for breakfast on 2010/10/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1262\", \"logical_representation\": [\"2010/10/29\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I watched a movie for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/29?\", \"25 minutes\"], [\"what did I watch on tv on 2010/10/29?\", \"a movie\"], [\"Did I watch tv on 2010/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/02\": {\"grocery\": {\"eid\": \"e111\", \"logical_representation\": [\"2010/11/02\", \"I went grocery shopping. I bought some pineapples, apple juice, and body lotion, toothbrush\", \"pineapples\", \"apple juice\", \"body lotion, toothbrush\", \"Lydia, Piper, Claire, Nevaeh, Nora, Olivia\"], \"text_template_based\": \"I went grocery shopping. I bought some pineapples, apple juice, and body lotion, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/11/02?\", \"pineapples, apple juice, and body lotion, toothbrush\"], [\"what fruits did I buy from the grocery store on 2010/11/02?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2010/11/02?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2010/11/02?\", \"body lotion, toothbrush\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1278\", \"logical_representation\": [\"2010/11/02\", \"lunch\", \"steak\", \"Lydia, Hazel, Olivia, Eva, Claire, Nevaeh\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1279\", \"logical_representation\": [\"2010/11/02\", \"Lydia, Piper, Hazel, Kinsley\", \"in the morning\", \"24 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Hazel, Kinsley for 24 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Hazel, Kinsley in the morning on 2010/11/02?\", \"24 minutes\"], [\"who did I talk to on 2010/11/02?\", \"Lydia, Piper, Hazel, Kinsley\"], [\"Did I talk to Lydia, Piper, Hazel, Kinsley on 2010/11/02?\", \"yes\"], [\"Did I talk to anyone on 2010/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1280\", \"logical_representation\": [\"2010/11/02\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/02?\", \"23 minutes\"], [\"what did I watch on tv on 2010/11/02?\", \"a tv series\"], [\"Did I watch tv on 2010/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/05\": {\"hobbies\": {\"eid\": \"e112\", \"logical_representation\": [\"2010/11/05\", \"I really enjoyed learning a language on 2010/11/05\", \"learning a language\", \"Lydia, Hazel, Avery\"], \"text_template_based\": \"I really enjoyed learning a language on 2010/11/05\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2010/11/05\"], [\"On 2010/11/05, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1291\", \"logical_representation\": [\"2010/11/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/11/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1292\", \"logical_representation\": [\"2010/11/05\", \"lunch\", \"steak\", \"Olivia, Piper, Layla, Rylee, Nevaeh, Nora, Lydia, Avery, Hazel, Kinsley, Eva, Claire\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1293\", \"logical_representation\": [\"2010/11/05\", \"Piper, Olivia, Hazel, Avery\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia, Hazel, Avery for 38 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Hazel, Avery late in the evening on 2010/11/05?\", \"38 minutes\"], [\"who did I talk to on 2010/11/05?\", \"Piper, Olivia, Hazel, Avery\"], [\"Did I talk to Piper, Olivia, Hazel, Avery on 2010/11/05?\", \"yes\"], [\"Did I talk to anyone on 2010/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/06\": {\"grocery\": {\"eid\": \"e113\", \"logical_representation\": [\"2010/11/06\", \"I bought some mangos, tea, pineapple juice, body lotion, mouth wash, conditioner from the grocery store. I saw Jackson, Benjamin, Willow at the grocery store.\", \"mangos\", \"tea, pineapple juice\", \"body lotion, mouth wash, conditioner\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I bought some mangos, tea, pineapple juice, body lotion, mouth wash, conditioner from the grocery store. I saw Jackson, Benjamin, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/11/06?\", \"mangos, tea, pineapple juice, and body lotion, mouth wash, conditioner\"], [\"what fruits did I buy from the grocery store on 2010/11/06?\", \"mangos\"], [\"what drinks did I buy from the grocery store on 2010/11/06?\", \"tea, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2010/11/06?\", \"body lotion, mouth wash, conditioner\"], [\"who did I see at the grocery store on 2010/11/06?\", \"Jackson, Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1294\", \"logical_representation\": [\"2010/11/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/11/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1295\", \"logical_representation\": [\"2010/11/06\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/11/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1296\", \"logical_representation\": [\"2010/11/06\", \"lunch\", \"sushi\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1297\", \"logical_representation\": [\"2010/11/06\", \"dinner\", \"sandwich\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/11/06?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2010/11/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1298\", \"logical_representation\": [\"2010/11/06\", \"Claire, Hazel\", \"in the morning\", \"10 minutes\"], \"text_template_based\": \"I talked to Claire, Hazel for 10 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel in the morning on 2010/11/06?\", \"10 minutes\"], [\"who did I talk to on 2010/11/06?\", \"Claire, Hazel\"], [\"Did I talk to Claire, Hazel on 2010/11/06?\", \"yes\"], [\"Did I talk to anyone on 2010/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1299\", \"logical_representation\": [\"2010/11/06\", \"Rylee, Hazel, Kinsley, Layla\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I talked to Rylee, Hazel, Kinsley, Layla for 37 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel, Kinsley, Layla in the late afternoon on 2010/11/06?\", \"37 minutes\"], [\"who did I talk to on 2010/11/06?\", \"Rylee, Hazel, Kinsley, Layla\"], [\"Did I talk to Rylee, Hazel, Kinsley, Layla on 2010/11/06?\", \"yes\"], [\"Did I talk to anyone on 2010/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1300\", \"logical_representation\": [\"2010/11/06\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/06?\", \"10 minutes\"], [\"what did I watch on tv on 2010/11/06?\", \"news\"], [\"Did I watch tv on 2010/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/10\": {\"grocery\": {\"eid\": \"e114\", \"logical_representation\": [\"2010/11/10\", \"I bought some clementines, nectarines, pears, oranges, chocolate milk, milk, mouth wash online.\", \"clementines, nectarines, pears, oranges\", \"chocolate milk, milk\", \"mouth wash\", \"Andrew, Carter\"], \"text_template_based\": \"I bought some clementines, nectarines, pears, oranges, chocolate milk, milk, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/11/10?\", \"clementines, nectarines, pears, oranges, chocolate milk, milk, and mouth wash\"], [\"what fruits did I buy online on 2010/11/10?\", \"clementines, nectarines, pears, oranges\"], [\"what drinks did I buy online on 2010/11/10?\", \"chocolate milk, milk\"], [\"what toiletries did I buy online on 2010/11/10?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1311\", \"logical_representation\": [\"2010/11/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/11/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1312\", \"logical_representation\": [\"2010/11/10\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/11/10\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1313\", \"logical_representation\": [\"2010/11/10\", \"dinner\", \"chinese food\", \"Layla, Olivia\"], \"text_template_based\": \"I had dinner with Layla, Olivia. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/11/10?\", \"Layla, Olivia\"], [\"what did I eat for dinner on 2010/11/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1314\", \"logical_representation\": [\"2010/11/10\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/11/10?\", \"46 minutes\"], [\"what did I read on 2010/11/10?\", \"news\"], [\"Did I read on 2010/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/13\": {\"hobbies\": {\"eid\": \"e115\", \"logical_representation\": [\"2010/11/13\", \"I spent time meditation on 2010/11/13 with Piper.\", \"meditation\", \"Piper\"], \"text_template_based\": \"I spent time meditation on 2010/11/13 with Piper.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Piper?\", \"2010/11/13\"], [\"On 2010/11/13, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2010/11/13?\", \"Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1321\", \"logical_representation\": [\"2010/11/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/11/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1322\", \"logical_representation\": [\"2010/11/13\", \"breakfast\", \"cereals\", \"Rylee, Piper, Olivia, Layla, Nora, Claire, Hazel, Eva\"], \"text_template_based\": \"I had cereals for breakfast with Rylee, Piper, Olivia, Layla, Nora, Claire, Hazel, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/11/13?\", \"Rylee, Piper, Olivia, Layla, Nora, Claire, Hazel, Eva\"], [\"what did I eat for breakfast on 2010/11/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1323\", \"logical_representation\": [\"2010/11/13\", \"lunch\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/11/13?\", \"Emily\"], [\"what did I eat for lunch on 2010/11/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1324\", \"logical_representation\": [\"2010/11/13\", \"dinner\", \"chinese food\", \"Rylee, Lydia, Eva, Piper, Kinsley, Piper, Layla, Nora\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2010/11/16\": {\"grocery\": {\"eid\": \"e116\", \"logical_representation\": [\"2010/11/16\", \"I went grocery shopping. I bought some cherres, strawberries, bananas, pineapples, soda, guava juice, and shampoo\", \"cherres, strawberries, bananas, pineapples\", \"soda, guava juice\", \"shampoo\", \"Piper, Eva, Hazel, Olivia, Nevaeh, Lydia, Rylee, Avery, Claire, Layla, Nora, Kinsley\"], \"text_template_based\": \"I went grocery shopping. I bought some cherres, strawberries, bananas, pineapples, soda, guava juice, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/11/16?\", \"cherres, strawberries, bananas, pineapples, soda, guava juice, and shampoo\"], [\"what fruits did I buy from the grocery store on 2010/11/16?\", \"cherres, strawberries, bananas, pineapples\"], [\"what drinks did I buy from the grocery store on 2010/11/16?\", \"soda, guava juice\"], [\"what toiletries did I buy from the grocery store on 2010/11/16?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1329\", \"logical_representation\": [\"2010/11/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/11/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1330\", \"logical_representation\": [\"2010/11/16\", \"lunch\", \"indian food\", \"Avery, Kinsley, Lydia\"], \"text_template_based\": \"I had indian food for lunch with Avery, Kinsley, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/11/16?\", \"Avery, Kinsley, Lydia\"], [\"what did I eat for lunch on 2010/11/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1331\", \"logical_representation\": [\"2010/11/16\", \"Piper, Nevaeh, Eva\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Piper, Nevaeh, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Eva during lunch hours on 2010/11/16?\", \"20 minutes\"], [\"who did I talk to on 2010/11/16?\", \"Piper, Nevaeh, Eva\"], [\"Did I talk to Piper, Nevaeh, Eva on 2010/11/16?\", \"yes\"], [\"Did I talk to anyone on 2010/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1332\", \"logical_representation\": [\"2010/11/16\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/11/16?\", \"20 minutes\"], [\"what did I read on 2010/11/16?\", \"a book\"], [\"Did I read on 2010/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/29\": {\"dating\": {\"eid\": \"e117\", \"logical_representation\": [\"2010/11/29\", \"Austin\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Austin on 2010/11/29 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/11/29\", \"Austin\"], [\"where did I go for the date on 2010/11/29\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1382\", \"logical_representation\": [\"2010/11/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/11/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1383\", \"logical_representation\": [\"2010/11/29\", \"lunch\", \"a burger\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1384\", \"logical_representation\": [\"2010/11/29\", \"dinner\", \"fish and chips\", \"Avery\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1385\", \"logical_representation\": [\"2010/11/29\", \"Nevaeh\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2010/11/29?\", \"33 minutes\"], [\"who did I talk to on 2010/11/29?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2010/11/29?\", \"yes\"], [\"Did I talk to anyone on 2010/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1386\", \"logical_representation\": [\"2010/11/29\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/11/29?\", \"50 minutes\"], [\"what did I read on 2010/11/29?\", \"news\"], [\"Did I read on 2010/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1387\", \"logical_representation\": [\"2010/11/29\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/29?\", \"50 minutes\"], [\"what did I watch on tv on 2010/11/29?\", \"a tv series\"], [\"Did I watch tv on 2010/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/28\": {\"grocery\": {\"eid\": \"e118\", \"logical_representation\": [\"2010/11/28\", \"I bought some apples, orange juice, mouth wash online.\", \"apples\", \"orange juice\", \"mouth wash\", \"Emily\"], \"text_template_based\": \"I bought some apples, orange juice, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/11/28?\", \"apples, orange juice, and mouth wash\"], [\"what fruits did I buy online on 2010/11/28?\", \"apples\"], [\"what drinks did I buy online on 2010/11/28?\", \"orange juice\"], [\"what toiletries did I buy online on 2010/11/28?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1379\", \"logical_representation\": [\"2010/11/28\", \"running\"], \"text_template_based\": \"I did running on 2010/11/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1380\", \"logical_representation\": [\"2010/11/28\", \"lunch\", \"chinese food\", \"Claire\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1381\", \"logical_representation\": [\"2010/11/28\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/11/28?\", \"40 minutes\"], [\"what did I read on 2010/11/28?\", \"social media\"], [\"Did I read on 2010/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/07\": {\"dating\": {\"eid\": \"e119\", \"logical_representation\": [\"2010/12/07\", \"Autumn\", \"a coffee Shop\"], \"text_template_based\": \"On 2010/12/07, I took Autumn on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/12/07\", \"Autumn\"], [\"where did I go for the date on 2010/12/07\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e120\", \"logical_representation\": [\"2010/12/07\", \"I went grocery shopping. I bought some pears, oranges, mineral water, chocolate milk, and toilet paper, facial wash, paper towel\", \"pears, oranges\", \"mineral water, chocolate milk\", \"toilet paper, facial wash, paper towel\", \"Nevaeh, Piper, Eva, Avery, Lydia, Layla, Kinsley, Hazel\"], \"text_template_based\": \"I went grocery shopping. I bought some pears, oranges, mineral water, chocolate milk, and toilet paper, facial wash, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/12/07?\", \"pears, oranges, mineral water, chocolate milk, and toilet paper, facial wash, paper towel\"], [\"what fruits did I buy from the grocery store on 2010/12/07?\", \"pears, oranges\"], [\"what drinks did I buy from the grocery store on 2010/12/07?\", \"mineral water, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2010/12/07?\", \"toilet paper, facial wash, paper towel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1413\", \"logical_representation\": [\"2010/12/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/12/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1414\", \"logical_representation\": [\"2010/12/07\", \"breakfast\", \"cereals\", \"Olivia, Eva, Hazel, Claire, Kinsley, Nevaeh, Avery, Layla, Piper, Piper, Lydia\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1415\", \"logical_representation\": [\"2010/12/07\", \"dinner\", \"fish and chips\", \"Andrew, Kayden\"], \"text_template_based\": \"I had fish and chips for dinner with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/12/07?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2010/12/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1416\", \"logical_representation\": [\"2010/12/07\", \"Piper\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Piper for 48 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2010/12/07?\", \"48 minutes\"], [\"who did I talk to on 2010/12/07?\", \"Piper\"], [\"Did I talk to Piper on 2010/12/07?\", \"yes\"], [\"Did I talk to anyone on 2010/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1417\", \"logical_representation\": [\"2010/12/07\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/07?\", \"52 minutes\"], [\"what did I watch on tv on 2010/12/07?\", \"a documentary\"], [\"Did I watch tv on 2010/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/15\": {\"hobbies\": {\"eid\": \"e121\", \"logical_representation\": [\"2010/12/15\", \"I really enjoyed learning a language on 2010/12/15\", \"learning a language\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I really enjoyed learning a language on 2010/12/15\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2010/12/15\"], [\"On 2010/12/15, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1445\", \"logical_representation\": [\"2010/12/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1446\", \"logical_representation\": [\"2010/12/15\", \"lunch\", \"sushi\", \"Nora, Piper, Lydia, Nevaeh, Hazel, Layla, Piper, Claire, Kinsley, Avery, Olivia, Rylee, Eva\"], \"text_template_based\": \"I had lunch with Nora, Piper, Lydia, Nevaeh, Hazel, Layla, Piper, Claire, Kinsley, Avery, Olivia, Rylee, Eva. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/12/15?\", \"Nora, Piper, Lydia, Nevaeh, Hazel, Layla, Piper, Claire, Kinsley, Avery, Olivia, Rylee, Eva\"], [\"what did I eat for lunch on 2010/12/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1447\", \"logical_representation\": [\"2010/12/15\", \"dinner\", \"pasta\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/12/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1448\", \"logical_representation\": [\"2010/12/15\", \"Claire, Layla\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I talked to Claire, Layla for 33 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla during lunch hours on 2010/12/15?\", \"33 minutes\"], [\"who did I talk to on 2010/12/15?\", \"Claire, Layla\"], [\"Did I talk to Claire, Layla on 2010/12/15?\", \"yes\"], [\"Did I talk to anyone on 2010/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1449\", \"logical_representation\": [\"2010/12/15\", \"Layla, Lydia\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I talked to Layla, Lydia for 47 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia during lunch hours on 2010/12/15?\", \"47 minutes\"], [\"who did I talk to on 2010/12/15?\", \"Layla, Lydia\"], [\"Did I talk to Layla, Lydia on 2010/12/15?\", \"yes\"], [\"Did I talk to anyone on 2010/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1450\", \"logical_representation\": [\"2010/12/15\", \"news\", \"30 minutes\"], \"text_template_based\": \"I watched news for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/15?\", \"30 minutes\"], [\"what did I watch on tv on 2010/12/15?\", \"news\"], [\"Did I watch tv on 2010/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/22\": {\"dating\": {\"eid\": \"e122\", \"logical_representation\": [\"2010/12/22\", \"Maverick\", \"a park\"], \"text_template_based\": \"I went on a date with Maverick on 2010/12/22 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/12/22\", \"Maverick\"], [\"where did I go for the date on 2010/12/22\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e124\", \"logical_representation\": [\"2010/12/22\", \"I bought some blackberries, strawberries, orange juice, milk, apple juice, soda, toilet paper, conditioner, body lotion, mouth wash online.\", \"blackberries, strawberries\", \"orange juice, milk, apple juice, soda\", \"toilet paper, conditioner, body lotion, mouth wash\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I bought some blackberries, strawberries, orange juice, milk, apple juice, soda, toilet paper, conditioner, body lotion, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/12/22?\", \"blackberries, strawberries, orange juice, milk, apple juice, soda, and toilet paper, conditioner, body lotion, mouth wash\"], [\"what fruits did I buy online on 2010/12/22?\", \"blackberries, strawberries\"], [\"what drinks did I buy online on 2010/12/22?\", \"orange juice, milk, apple juice, soda\"], [\"what toiletries did I buy online on 2010/12/22?\", \"toilet paper, conditioner, body lotion, mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1478\", \"logical_representation\": [\"2010/12/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/12/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1479\", \"logical_representation\": [\"2010/12/22\", \"dinner\", \"tacos\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/12/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1480\", \"logical_representation\": [\"2010/12/22\", \"Lydia, Olivia, Nora\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Lydia, Olivia, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Nora late in the evening on 2010/12/22?\", \"5 minutes\"], [\"who did I talk to on 2010/12/22?\", \"Lydia, Olivia, Nora\"], [\"Did I talk to Lydia, Olivia, Nora on 2010/12/22?\", \"yes\"], [\"Did I talk to anyone on 2010/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1481\", \"logical_representation\": [\"2010/12/22\", \"Claire, Nevaeh, Hazel, Lydia\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I talked to Claire, Nevaeh, Hazel, Lydia for 54 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Hazel, Lydia during lunch hours on 2010/12/22?\", \"54 minutes\"], [\"who did I talk to on 2010/12/22?\", \"Claire, Nevaeh, Hazel, Lydia\"], [\"Did I talk to Claire, Nevaeh, Hazel, Lydia on 2010/12/22?\", \"yes\"], [\"Did I talk to anyone on 2010/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1482\", \"logical_representation\": [\"2010/12/22\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/12/22?\", \"49 minutes\"], [\"what did I read on 2010/12/22?\", \"social media\"], [\"Did I read on 2010/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1483\", \"logical_representation\": [\"2010/12/22\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/22?\", \"42 minutes\"], [\"what did I watch on tv on 2010/12/22?\", \"a tv series\"], [\"Did I watch tv on 2010/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/17\": {\"grocery\": {\"eid\": \"e123\", \"logical_representation\": [\"2010/12/17\", \"I bought some apricots, blackberries, oranges, pears, mango juice, paper towel online.\", \"apricots, blackberries, oranges, pears\", \"mango juice\", \"paper towel\", \"Emily, Carter\"], \"text_template_based\": \"I bought some apricots, blackberries, oranges, pears, mango juice, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/12/17?\", \"apricots, blackberries, oranges, pears, mango juice, and paper towel\"], [\"what fruits did I buy online on 2010/12/17?\", \"apricots, blackberries, oranges, pears\"], [\"what drinks did I buy online on 2010/12/17?\", \"mango juice\"], [\"what toiletries did I buy online on 2010/12/17?\", \"paper towel\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1454\", \"logical_representation\": [\"2010/12/17\", \"lunch\", \"a burger\", \"Kinsley, Hazel, Eva, Claire, Piper, Layla, Rylee, Nevaeh\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/12/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1455\", \"logical_representation\": [\"2010/12/17\", \"dinner\", \"a burger\", \"Nora, Claire, Lydia, Eva, Hazel, Piper\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/12/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1456\", \"logical_representation\": [\"2010/12/17\", \"Lydia\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the late afternoon on 2010/12/17?\", \"40 minutes\"], [\"who did I talk to on 2010/12/17?\", \"Lydia\"], [\"Did I talk to Lydia on 2010/12/17?\", \"yes\"], [\"Did I talk to anyone on 2010/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1457\", \"logical_representation\": [\"2010/12/17\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/12/17?\", \"8 minutes\"], [\"what did I read on 2010/12/17?\", \"social media\"], [\"Did I read on 2010/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1458\", \"logical_representation\": [\"2010/12/17\", \"a documentary\", \"29 minutes\"], \"text_template_based\": \"I watched a documentary for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/17?\", \"29 minutes\"], [\"what did I watch on tv on 2010/12/17?\", \"a documentary\"], [\"Did I watch tv on 2010/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/29\": {\"grocery\": {\"eid\": \"e125\", \"logical_representation\": [\"2010/12/29\", \"I went grocery shopping with Claire, Layla, Lydia. I bought some strawberries, blueberries, apricots, coffee, and paper towel\", \"strawberries, blueberries, apricots\", \"coffee\", \"paper towel\", \"Claire, Layla, Lydia\"], \"text_template_based\": \"I went grocery shopping with Claire, Layla, Lydia. I bought some strawberries, blueberries, apricots, coffee, and paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/12/29?\", \"strawberries, blueberries, apricots, coffee, and paper towel\"], [\"what fruits did I buy from the grocery store on 2010/12/29?\", \"strawberries, blueberries, apricots\"], [\"what drinks did I buy from the grocery store on 2010/12/29?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2010/12/29?\", \"paper towel\"], [\"who was with me at the grocery store on 2010/12/29?\", \"Claire, Layla, Lydia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1503\", \"logical_representation\": [\"2010/12/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/12/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1504\", \"logical_representation\": [\"2010/12/29\", \"breakfast\", \"cereals\", \"Hazel, Piper, Lydia, Kinsley, Layla, Claire, Nevaeh, Piper, Avery, Nora, Olivia, Rylee\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1505\", \"logical_representation\": [\"2010/12/29\", \"Avery, Hazel\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Avery, Hazel for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel in the morning on 2010/12/29?\", \"45 minutes\"], [\"who did I talk to on 2010/12/29?\", \"Avery, Hazel\"], [\"Did I talk to Avery, Hazel on 2010/12/29?\", \"yes\"], [\"Did I talk to anyone on 2010/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1506\", \"logical_representation\": [\"2010/12/29\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/12/29?\", \"53 minutes\"], [\"what did I read on 2010/12/29?\", \"news\"], [\"Did I read on 2010/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1507\", \"logical_representation\": [\"2010/12/29\", \"news\", \"33 minutes\"], \"text_template_based\": \"I watched news for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/29?\", \"33 minutes\"], [\"what did I watch on tv on 2010/12/29?\", \"news\"], [\"Did I watch tv on 2010/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/31\": {\"grocery\": {\"eid\": \"e126\", \"logical_representation\": [\"2010/12/31\", \"I bought some apples, pineapples, cherres, peaches, guava juice, body lotion, paper towel from the grocery store. I saw Kayden, Emily, Carter at the grocery store.\", \"apples, pineapples, cherres, peaches\", \"guava juice\", \"body lotion, paper towel\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I bought some apples, pineapples, cherres, peaches, guava juice, body lotion, paper towel from the grocery store. I saw Kayden, Emily, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/12/31?\", \"apples, pineapples, cherres, peaches, guava juice, and body lotion, paper towel\"], [\"what fruits did I buy from the grocery store on 2010/12/31?\", \"apples, pineapples, cherres, peaches\"], [\"what drinks did I buy from the grocery store on 2010/12/31?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2010/12/31?\", \"body lotion, paper towel\"], [\"who did I see at the grocery store on 2010/12/31?\", \"Kayden, Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1511\", \"logical_representation\": [\"2010/12/31\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/12/31\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1512\", \"logical_representation\": [\"2010/12/31\", \"dinner\", \"tacos\", \"Benjamin\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/12/31\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2010/01/01\": {\"exercise\": {\"eid\": \"e127\", \"logical_representation\": [\"2010/01/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/01/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e128\", \"logical_representation\": [\"2010/01/01\", \"dinner\", \"sushi\", \"Layla, Rylee, Avery, Piper, Nora, Lydia, Piper, Claire, Olivia, Nevaeh, Hazel, Eva\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e129\", \"logical_representation\": [\"2010/01/01\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/01?\", \"7 minutes\"], [\"what did I watch on tv on 2010/01/01?\", \"a documentary\"], [\"Did I watch tv on 2010/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/03\": {\"exercise\": {\"eid\": \"e133\", \"logical_representation\": [\"2010/01/03\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/01/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/03?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e134\", \"logical_representation\": [\"2010/01/03\", \"breakfast\", \"oatmeal\", \"Piper, Claire, Layla, Rylee, Avery, Hazel, Eva, Kinsley, Olivia\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/01/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e135\", \"logical_representation\": [\"2010/01/03\", \"Piper, Lydia\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia for 30 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia late in the evening on 2010/01/03?\", \"30 minutes\"], [\"who did I talk to on 2010/01/03?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2010/01/03?\", \"yes\"], [\"Did I talk to anyone on 2010/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e136\", \"logical_representation\": [\"2010/01/03\", \"Nora, Nevaeh, Piper, Olivia\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Nora, Nevaeh, Piper, Olivia for 5 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Piper, Olivia in the late afternoon on 2010/01/03?\", \"5 minutes\"], [\"who did I talk to on 2010/01/03?\", \"Nora, Nevaeh, Piper, Olivia\"], [\"Did I talk to Nora, Nevaeh, Piper, Olivia on 2010/01/03?\", \"yes\"], [\"Did I talk to anyone on 2010/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e137\", \"logical_representation\": [\"2010/01/03\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/01/03?\", \"26 minutes\"], [\"what did I read on 2010/01/03?\", \"a book\"], [\"Did I read on 2010/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/04\": {\"exercise\": {\"eid\": \"e138\", \"logical_representation\": [\"2010/01/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/01/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e139\", \"logical_representation\": [\"2010/01/04\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Avery, Claire, Piper, Nora, Rylee, Eva, Nevaeh, Lydia, Kinsley\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Piper, Avery, Claire, Piper, Nora, Rylee, Eva, Nevaeh, Lydia, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/01/04?\", \"Piper, Avery, Claire, Piper, Nora, Rylee, Eva, Nevaeh, Lydia, Kinsley\"], [\"what did I eat for breakfast on 2010/01/04\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e140\", \"logical_representation\": [\"2010/01/04\", \"lunch\", \"tacos\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e141\", \"logical_representation\": [\"2010/01/04\", \"dinner\", \"tacos\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e142\", \"logical_representation\": [\"2010/01/04\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/01/04?\", \"29 minutes\"], [\"what did I read on 2010/01/04?\", \"news\"], [\"Did I read on 2010/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/06\": {\"breakfast\": {\"eid\": \"e147\", \"logical_representation\": [\"2010/01/06\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/01/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e148\", \"logical_representation\": [\"2010/01/06\", \"Claire, Rylee, Nevaeh, Kinsley\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Claire, Rylee, Nevaeh, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Nevaeh, Kinsley late in the evening on 2010/01/06?\", \"49 minutes\"], [\"who did I talk to on 2010/01/06?\", \"Claire, Rylee, Nevaeh, Kinsley\"], [\"Did I talk to Claire, Rylee, Nevaeh, Kinsley on 2010/01/06?\", \"yes\"], [\"Did I talk to anyone on 2010/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/07\": {\"dinner\": {\"eid\": \"e149\", \"logical_representation\": [\"2010/01/07\", \"dinner\", \"a burger\", \"Piper, Claire, Hazel, Nevaeh, Olivia, Lydia, Eva, Kinsley, Rylee, Avery, Nora, Layla, Piper\"], \"text_template_based\": \"I had a burger for dinner with Piper, Claire, Hazel, Nevaeh, Olivia, Lydia, Eva, Kinsley, Rylee, Avery, Nora, Layla, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/01/07?\", \"Piper, Claire, Hazel, Nevaeh, Olivia, Lydia, Eva, Kinsley, Rylee, Avery, Nora, Layla, Piper\"], [\"what did I eat for dinner on 2010/01/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e150\", \"logical_representation\": [\"2010/01/07\", \"Layla, Piper, Eva\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Layla, Piper, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Eva during lunch hours on 2010/01/07?\", \"48 minutes\"], [\"who did I talk to on 2010/01/07?\", \"Layla, Piper, Eva\"], [\"Did I talk to Layla, Piper, Eva on 2010/01/07?\", \"yes\"], [\"Did I talk to anyone on 2010/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/08\": {\"lunch\": {\"eid\": \"e151\", \"logical_representation\": [\"2010/01/08\", \"lunch\", \"indian food\", \"Jackson, Benjamin\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e152\", \"logical_representation\": [\"2010/01/08\", \"dinner\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e153\", \"logical_representation\": [\"2010/01/08\", \"Avery, Rylee\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I talked to Avery, Rylee for 33 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee late in the evening on 2010/01/08?\", \"33 minutes\"], [\"who did I talk to on 2010/01/08?\", \"Avery, Rylee\"], [\"Did I talk to Avery, Rylee on 2010/01/08?\", \"yes\"], [\"Did I talk to anyone on 2010/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e154\", \"logical_representation\": [\"2010/01/08\", \"Nora\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Nora for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2010/01/08?\", \"26 minutes\"], [\"who did I talk to on 2010/01/08?\", \"Nora\"], [\"Did I talk to Nora on 2010/01/08?\", \"yes\"], [\"Did I talk to anyone on 2010/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e155\", \"logical_representation\": [\"2010/01/08\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/01/08?\", \"7 minutes\"], [\"what did I read on 2010/01/08?\", \"news\"], [\"Did I read on 2010/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/09\": {\"dinner\": {\"eid\": \"e156\", \"logical_representation\": [\"2010/01/09\", \"dinner\", \"sushi\", \"Claire, Rylee, Hazel, Piper, Layla, Piper, Nora, Nevaeh, Avery, Olivia, Eva, Lydia\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e157\", \"logical_representation\": [\"2010/01/09\", \"Nevaeh, Eva\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Nevaeh, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva in the morning on 2010/01/09?\", \"13 minutes\"], [\"who did I talk to on 2010/01/09?\", \"Nevaeh, Eva\"], [\"Did I talk to Nevaeh, Eva on 2010/01/09?\", \"yes\"], [\"Did I talk to anyone on 2010/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e158\", \"logical_representation\": [\"2010/01/09\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/01/09?\", \"40 minutes\"], [\"what did I read on 2010/01/09?\", \"social media\"], [\"Did I read on 2010/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e159\", \"logical_representation\": [\"2010/01/09\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/09?\", \"27 minutes\"], [\"what did I watch on tv on 2010/01/09?\", \"a documentary\"], [\"Did I watch tv on 2010/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/11\": {\"exercise\": {\"eid\": \"e163\", \"logical_representation\": [\"2010/01/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/01/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e164\", \"logical_representation\": [\"2010/01/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Lydia, Avery, Rylee\"], \"text_template_based\": \"I had breakfast with Lydia, Avery, Rylee. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/01/11?\", \"Lydia, Avery, Rylee\"], [\"what did I eat for breakfast on 2010/01/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e165\", \"logical_representation\": [\"2010/01/11\", \"lunch\", \"sandwich\", \"Piper, Eva, Rylee, Lydia, Layla\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2010/01/12\": {\"breakfast\": {\"eid\": \"e166\", \"logical_representation\": [\"2010/01/12\", \"breakfast\", \"toast and cheese\", \"Eva\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/01/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e167\", \"logical_representation\": [\"2010/01/12\", \"dinner\", \"fish and chips\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e168\", \"logical_representation\": [\"2010/01/12\", \"Layla, Claire\", \"in the early afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Layla, Claire for 35 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire in the early afternoon on 2010/01/12?\", \"35 minutes\"], [\"who did I talk to on 2010/01/12?\", \"Layla, Claire\"], [\"Did I talk to Layla, Claire on 2010/01/12?\", \"yes\"], [\"Did I talk to anyone on 2010/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e169\", \"logical_representation\": [\"2010/01/12\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/12?\", \"11 minutes\"], [\"what did I watch on tv on 2010/01/12?\", \"a movie\"], [\"Did I watch tv on 2010/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/13\": {\"breakfast\": {\"eid\": \"e170\", \"logical_representation\": [\"2010/01/13\", \"breakfast\", \"pancakes\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had breakfast with Willow, Benjamin, Jackson, Avery. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/01/13?\", \"Willow, Benjamin, Jackson, Avery\"], [\"what did I eat for breakfast on 2010/01/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e171\", \"logical_representation\": [\"2010/01/13\", \"lunch\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I had sushi for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/01/13?\", \"Andrew\"], [\"what did I eat for lunch on 2010/01/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e172\", \"logical_representation\": [\"2010/01/13\", \"Piper, Piper, Rylee\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Piper, Piper, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Rylee in the early evening on 2010/01/13?\", \"42 minutes\"], [\"who did I talk to on 2010/01/13?\", \"Piper, Piper, Rylee\"], [\"Did I talk to Piper, Piper, Rylee on 2010/01/13?\", \"yes\"], [\"Did I talk to anyone on 2010/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e173\", \"logical_representation\": [\"2010/01/13\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/01/13?\", \"37 minutes\"], [\"what did I read on 2010/01/13?\", \"a book\"], [\"Did I read on 2010/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e174\", \"logical_representation\": [\"2010/01/13\", \"a movie\", \"49 minutes\"], \"text_template_based\": \"I watched a movie for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/13?\", \"49 minutes\"], [\"what did I watch on tv on 2010/01/13?\", \"a movie\"], [\"Did I watch tv on 2010/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/15\": {\"exercise\": {\"eid\": \"e178\", \"logical_representation\": [\"2010/01/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/01/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e179\", \"logical_representation\": [\"2010/01/15\", \"Piper, Kinsley, Hazel\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Hazel for 8 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Hazel during lunch hours on 2010/01/15?\", \"8 minutes\"], [\"who did I talk to on 2010/01/15?\", \"Piper, Kinsley, Hazel\"], [\"Did I talk to Piper, Kinsley, Hazel on 2010/01/15?\", \"yes\"], [\"Did I talk to anyone on 2010/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/17\": {\"exercise\": {\"eid\": \"e181\", \"logical_representation\": [\"2010/01/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/01/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e182\", \"logical_representation\": [\"2010/01/17\", \"Rylee, Olivia\", \"in the early evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Rylee, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia in the early evening on 2010/01/17?\", \"44 minutes\"], [\"who did I talk to on 2010/01/17?\", \"Rylee, Olivia\"], [\"Did I talk to Rylee, Olivia on 2010/01/17?\", \"yes\"], [\"Did I talk to anyone on 2010/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e183\", \"logical_representation\": [\"2010/01/17\", \"Piper, Olivia\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Piper, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the early evening on 2010/01/17?\", \"17 minutes\"], [\"who did I talk to on 2010/01/17?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2010/01/17?\", \"yes\"], [\"Did I talk to anyone on 2010/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e184\", \"logical_representation\": [\"2010/01/17\", \"news\", \"47 minutes\"], \"text_template_based\": \"I watched news for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/17?\", \"47 minutes\"], [\"what did I watch on tv on 2010/01/17?\", \"news\"], [\"Did I watch tv on 2010/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/19\": {\"exercise\": {\"eid\": \"e188\", \"logical_representation\": [\"2010/01/19\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/01/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/19?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e189\", \"logical_representation\": [\"2010/01/19\", \"breakfast\", \"pancakes\", \"Jackson\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/01/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e190\", \"logical_representation\": [\"2010/01/19\", \"Layla, Piper, Claire, Olivia\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Layla, Piper, Claire, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Claire, Olivia in the morning on 2010/01/19?\", \"26 minutes\"], [\"who did I talk to on 2010/01/19?\", \"Layla, Piper, Claire, Olivia\"], [\"Did I talk to Layla, Piper, Claire, Olivia on 2010/01/19?\", \"yes\"], [\"Did I talk to anyone on 2010/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e191\", \"logical_representation\": [\"2010/01/19\", \"Lydia, Layla\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Lydia, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla in the late afternoon on 2010/01/19?\", \"20 minutes\"], [\"who did I talk to on 2010/01/19?\", \"Lydia, Layla\"], [\"Did I talk to Lydia, Layla on 2010/01/19?\", \"yes\"], [\"Did I talk to anyone on 2010/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e192\", \"logical_representation\": [\"2010/01/19\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/01/19?\", \"49 minutes\"], [\"what did I read on 2010/01/19?\", \"news\"], [\"Did I read on 2010/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/20\": {\"breakfast\": {\"eid\": \"e193\", \"logical_representation\": [\"2010/01/20\", \"breakfast\", \"peanut-butter-jam\", \"Nora, Lydia, Piper, Layla, Rylee, Avery, Kinsley, Eva, Claire, Hazel, Piper, Olivia\"], \"text_template_based\": \"I had breakfast with Nora, Lydia, Piper, Layla, Rylee, Avery, Kinsley, Eva, Claire, Hazel, Piper, Olivia. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/01/20?\", \"Nora, Lydia, Piper, Layla, Rylee, Avery, Kinsley, Eva, Claire, Hazel, Piper, Olivia\"], [\"what did I eat for breakfast on 2010/01/20\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e194\", \"logical_representation\": [\"2010/01/20\", \"lunch\", \"a burger\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Kayden. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/01/20?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for lunch on 2010/01/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e195\", \"logical_representation\": [\"2010/01/20\", \"dinner\", \"sushi\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had sushi for dinner with Benjamin, Willow, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/01/20?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for dinner on 2010/01/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e196\", \"logical_representation\": [\"2010/01/20\", \"Piper\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2010/01/20?\", \"44 minutes\"], [\"who did I talk to on 2010/01/20?\", \"Piper\"], [\"Did I talk to Piper on 2010/01/20?\", \"yes\"], [\"Did I talk to anyone on 2010/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/21\": {\"exercise\": {\"eid\": \"e197\", \"logical_representation\": [\"2010/01/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/01/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e198\", \"logical_representation\": [\"2010/01/21\", \"lunch\", \"tacos\", \"Carter\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e199\", \"logical_representation\": [\"2010/01/21\", \"dinner\", \"indian food\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner with Emily, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/01/21?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2010/01/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e200\", \"logical_representation\": [\"2010/01/21\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/01/21?\", \"21 minutes\"], [\"what did I read on 2010/01/21?\", \"social media\"], [\"Did I read on 2010/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/23\": {\"exercise\": {\"eid\": \"e206\", \"logical_representation\": [\"2010/01/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/01/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e207\", \"logical_representation\": [\"2010/01/23\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/01/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e208\", \"logical_representation\": [\"2010/01/23\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/01/23?\", \"5 minutes\"], [\"what did I read on 2010/01/23?\", \"social media\"], [\"Did I read on 2010/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/24\": {\"breakfast\": {\"eid\": \"e209\", \"logical_representation\": [\"2010/01/24\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Emily, Andrew, Kayden. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/01/24?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for breakfast on 2010/01/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e210\", \"logical_representation\": [\"2010/01/24\", \"lunch\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e211\", \"logical_representation\": [\"2010/01/24\", \"Rylee, Nora, Claire\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Rylee, Nora, Claire for 29 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Claire in the early afternoon on 2010/01/24?\", \"29 minutes\"], [\"who did I talk to on 2010/01/24?\", \"Rylee, Nora, Claire\"], [\"Did I talk to Rylee, Nora, Claire on 2010/01/24?\", \"yes\"], [\"Did I talk to anyone on 2010/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/25\": {\"exercise\": {\"eid\": \"e212\", \"logical_representation\": [\"2010/01/25\", \"running\"], \"text_template_based\": \"I did running on 2010/01/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e213\", \"logical_representation\": [\"2010/01/25\", \"lunch\", \"a burger\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had lunch with Benjamin, Willow, Jackson. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/01/25?\", \"Benjamin, Willow, Jackson\"], [\"what did I eat for lunch on 2010/01/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e214\", \"logical_representation\": [\"2010/01/25\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/01/25?\", \"35 minutes\"], [\"what did I read on 2010/01/25?\", \"a book\"], [\"Did I read on 2010/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e215\", \"logical_representation\": [\"2010/01/25\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I watched a documentary for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/25?\", \"43 minutes\"], [\"what did I watch on tv on 2010/01/25?\", \"a documentary\"], [\"Did I watch tv on 2010/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/27\": {\"exercise\": {\"eid\": \"e217\", \"logical_representation\": [\"2010/01/27\", \"running\"], \"text_template_based\": \"I did running on 2010/01/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e218\", \"logical_representation\": [\"2010/01/27\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/01/27?\", \"52 minutes\"], [\"what did I read on 2010/01/27?\", \"news\"], [\"Did I read on 2010/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/29\": {\"exercise\": {\"eid\": \"e223\", \"logical_representation\": [\"2010/01/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/01/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e224\", \"logical_representation\": [\"2010/01/29\", \"dinner\", \"indian food\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e225\", \"logical_representation\": [\"2010/01/29\", \"Piper, Nora\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Piper, Nora for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora in the early evening on 2010/01/29?\", \"39 minutes\"], [\"who did I talk to on 2010/01/29?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2010/01/29?\", \"yes\"], [\"Did I talk to anyone on 2010/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e226\", \"logical_representation\": [\"2010/01/29\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/01/29?\", \"52 minutes\"], [\"what did I read on 2010/01/29?\", \"a book\"], [\"Did I read on 2010/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e227\", \"logical_representation\": [\"2010/01/29\", \"news\", \"21 minutes\"], \"text_template_based\": \"I watched news for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/29?\", \"21 minutes\"], [\"what did I watch on tv on 2010/01/29?\", \"news\"], [\"Did I watch tv on 2010/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/30\": {\"breakfast\": {\"eid\": \"e228\", \"logical_representation\": [\"2010/01/30\", \"breakfast\", \"cereals\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/01/30\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e229\", \"logical_representation\": [\"2010/01/30\", \"lunch\", \"a burger\", \"Rylee, Claire, Nora, Piper\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e230\", \"logical_representation\": [\"2010/01/30\", \"Rylee, Olivia, Claire, Avery\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Rylee, Olivia, Claire, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia, Claire, Avery during lunch hours on 2010/01/30?\", \"7 minutes\"], [\"who did I talk to on 2010/01/30?\", \"Rylee, Olivia, Claire, Avery\"], [\"Did I talk to Rylee, Olivia, Claire, Avery on 2010/01/30?\", \"yes\"], [\"Did I talk to anyone on 2010/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e231\", \"logical_representation\": [\"2010/01/30\", \"a documentary\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/30?\", \"11 minutes\"], [\"what did I watch on tv on 2010/01/30?\", \"a documentary\"], [\"Did I watch tv on 2010/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/01\": {\"dinner\": {\"eid\": \"e236\", \"logical_representation\": [\"2010/02/01\", \"dinner\", \"chinese food\", \"Kayden, Emily\"], \"text_template_based\": \"I had chinese food for dinner with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/02/01?\", \"Kayden, Emily\"], [\"what did I eat for dinner on 2010/02/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e237\", \"logical_representation\": [\"2010/02/01\", \"Piper, Nora, Nevaeh\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Nevaeh for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Nevaeh in the early afternoon on 2010/02/01?\", \"42 minutes\"], [\"who did I talk to on 2010/02/01?\", \"Piper, Nora, Nevaeh\"], [\"Did I talk to Piper, Nora, Nevaeh on 2010/02/01?\", \"yes\"], [\"Did I talk to anyone on 2010/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e238\", \"logical_representation\": [\"2010/02/01\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/02/01?\", \"33 minutes\"], [\"what did I read on 2010/02/01?\", \"social media\"], [\"Did I read on 2010/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/02\": {\"exercise\": {\"eid\": \"e239\", \"logical_representation\": [\"2010/02/02\", \"running\"], \"text_template_based\": \"I did running on 2010/02/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/02/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e240\", \"logical_representation\": [\"2010/02/02\", \"lunch\", \"indian food\", \"Jackson\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/02/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e241\", \"logical_representation\": [\"2010/02/02\", \"dinner\", \"fish and chips\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/02/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2010/02/03\": {\"breakfast\": {\"eid\": \"e242\", \"logical_representation\": [\"2010/02/03\", \"breakfast\", \"toast and cheese\", \"Avery, Benjamin\"], \"text_template_based\": \"I had breakfast with Avery, Benjamin. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/02/03?\", \"Avery, Benjamin\"], [\"what did I eat for breakfast on 2010/02/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e243\", \"logical_representation\": [\"2010/02/03\", \"lunch\", \"steak\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/02/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e244\", \"logical_representation\": [\"2010/02/03\", \"Lydia, Eva\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva for 25 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva during lunch hours on 2010/02/03?\", \"25 minutes\"], [\"who did I talk to on 2010/02/03?\", \"Lydia, Eva\"], [\"Did I talk to Lydia, Eva on 2010/02/03?\", \"yes\"], [\"Did I talk to anyone on 2010/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e245\", \"logical_representation\": [\"2010/02/03\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/02/03?\", \"17 minutes\"], [\"what did I read on 2010/02/03?\", \"social media\"], [\"Did I read on 2010/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e246\", \"logical_representation\": [\"2010/02/03\", \"a movie\", \"27 minutes\"], \"text_template_based\": \"I watched a movie for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/03?\", \"27 minutes\"], [\"what did I watch on tv on 2010/02/03?\", \"a movie\"], [\"Did I watch tv on 2010/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/06\": {\"breakfast\": {\"eid\": \"e257\", \"logical_representation\": [\"2010/02/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/02/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e258\", \"logical_representation\": [\"2010/02/06\", \"lunch\", \"tacos\", \"Rylee, Piper, Eva, Hazel\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/02/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e259\", \"logical_representation\": [\"2010/02/06\", \"dinner\", \"a burger\", \"Hazel, Claire, Piper, Rylee, Piper, Lydia, Nevaeh\"], \"text_template_based\": \"I had dinner with Hazel, Claire, Piper, Rylee, Piper, Lydia, Nevaeh. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/02/06?\", \"Hazel, Claire, Piper, Rylee, Piper, Lydia, Nevaeh\"], [\"what did I eat for dinner on 2010/02/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e260\", \"logical_representation\": [\"2010/02/06\", \"Eva, Avery\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I talked to Eva, Avery for 23 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery during lunch hours on 2010/02/06?\", \"23 minutes\"], [\"who did I talk to on 2010/02/06?\", \"Eva, Avery\"], [\"Did I talk to Eva, Avery on 2010/02/06?\", \"yes\"], [\"Did I talk to anyone on 2010/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e261\", \"logical_representation\": [\"2010/02/06\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/02/06?\", \"28 minutes\"], [\"what did I read on 2010/02/06?\", \"social media\"], [\"Did I read on 2010/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/07\": {\"breakfast\": {\"eid\": \"e262\", \"logical_representation\": [\"2010/02/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/02/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e263\", \"logical_representation\": [\"2010/02/07\", \"lunch\", \"pasta\", \"Avery, Willow\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/02/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e264\", \"logical_representation\": [\"2010/02/07\", \"Avery, Olivia, Hazel, Kinsley\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia, Hazel, Kinsley for 35 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Hazel, Kinsley in the early evening on 2010/02/07?\", \"35 minutes\"], [\"who did I talk to on 2010/02/07?\", \"Avery, Olivia, Hazel, Kinsley\"], [\"Did I talk to Avery, Olivia, Hazel, Kinsley on 2010/02/07?\", \"yes\"], [\"Did I talk to anyone on 2010/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e265\", \"logical_representation\": [\"2010/02/07\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/07?\", \"17 minutes\"], [\"what did I watch on tv on 2010/02/07?\", \"a tv series\"], [\"Did I watch tv on 2010/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/08\": {\"exercise\": {\"eid\": \"e266\", \"logical_representation\": [\"2010/02/08\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/02/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/02/08?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e267\", \"logical_representation\": [\"2010/02/08\", \"lunch\", \"a burger\", \"Claire, Piper, Eva, Olivia\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/02/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e268\", \"logical_representation\": [\"2010/02/08\", \"Lydia, Nevaeh, Piper, Kinsley\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Lydia, Nevaeh, Piper, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Piper, Kinsley during lunch hours on 2010/02/08?\", \"17 minutes\"], [\"who did I talk to on 2010/02/08?\", \"Lydia, Nevaeh, Piper, Kinsley\"], [\"Did I talk to Lydia, Nevaeh, Piper, Kinsley on 2010/02/08?\", \"yes\"], [\"Did I talk to anyone on 2010/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e269\", \"logical_representation\": [\"2010/02/08\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/02/08?\", \"34 minutes\"], [\"what did I read on 2010/02/08?\", \"news\"], [\"Did I read on 2010/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/09\": {\"breakfast\": {\"eid\": \"e270\", \"logical_representation\": [\"2010/02/09\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/02/09\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e271\", \"logical_representation\": [\"2010/02/09\", \"lunch\", \"fish and chips\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/02/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e272\", \"logical_representation\": [\"2010/02/09\", \"Nevaeh, Eva, Nora, Piper\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Nevaeh, Eva, Nora, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva, Nora, Piper in the early afternoon on 2010/02/09?\", \"52 minutes\"], [\"who did I talk to on 2010/02/09?\", \"Nevaeh, Eva, Nora, Piper\"], [\"Did I talk to Nevaeh, Eva, Nora, Piper on 2010/02/09?\", \"yes\"], [\"Did I talk to anyone on 2010/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e273\", \"logical_representation\": [\"2010/02/09\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/02/09?\", \"45 minutes\"], [\"what did I read on 2010/02/09?\", \"a book\"], [\"Did I read on 2010/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e274\", \"logical_representation\": [\"2010/02/09\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I watched a movie for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/09?\", \"36 minutes\"], [\"what did I watch on tv on 2010/02/09?\", \"a movie\"], [\"Did I watch tv on 2010/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/10\": {\"dinner\": {\"eid\": \"e275\", \"logical_representation\": [\"2010/02/10\", \"dinner\", \"tacos\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/02/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e276\", \"logical_representation\": [\"2010/02/10\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/02/10?\", \"5 minutes\"], [\"what did I read on 2010/02/10?\", \"social media\"], [\"Did I read on 2010/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/11\": {\"exercise\": {\"eid\": \"e277\", \"logical_representation\": [\"2010/02/11\", \"running\"], \"text_template_based\": \"I did running on 2010/02/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/02/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e278\", \"logical_representation\": [\"2010/02/11\", \"breakfast\", \"cereals\", \"Jackson, Avery\"], \"text_template_based\": \"I had breakfast with Jackson, Avery. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/02/11?\", \"Jackson, Avery\"], [\"what did I eat for breakfast on 2010/02/11\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e279\", \"logical_representation\": [\"2010/02/11\", \"dinner\", \"a burger\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/02/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e280\", \"logical_representation\": [\"2010/02/11\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/02/11?\", \"36 minutes\"], [\"what did I read on 2010/02/11?\", \"news\"], [\"Did I read on 2010/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e281\", \"logical_representation\": [\"2010/02/11\", \"news\", \"13 minutes\"], \"text_template_based\": \"I watched news for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/11?\", \"13 minutes\"], [\"what did I watch on tv on 2010/02/11?\", \"news\"], [\"Did I watch tv on 2010/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/20\": {\"exercise\": {\"eid\": \"e310\", \"logical_representation\": [\"2010/02/20\", \"biking\"], \"text_template_based\": \"I did biking on 2010/02/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/02/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e311\", \"logical_representation\": [\"2010/02/20\", \"Nevaeh, Rylee, Piper, Claire\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee, Piper, Claire for 53 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Piper, Claire in the late afternoon on 2010/02/20?\", \"53 minutes\"], [\"who did I talk to on 2010/02/20?\", \"Nevaeh, Rylee, Piper, Claire\"], [\"Did I talk to Nevaeh, Rylee, Piper, Claire on 2010/02/20?\", \"yes\"], [\"Did I talk to anyone on 2010/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e312\", \"logical_representation\": [\"2010/02/20\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/02/20?\", \"13 minutes\"], [\"what did I read on 2010/02/20?\", \"social media\"], [\"Did I read on 2010/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/21\": {\"breakfast\": {\"eid\": \"e313\", \"logical_representation\": [\"2010/02/21\", \"breakfast\", \"cereals\", \"Carter, Emily\"], \"text_template_based\": \"I had cereals for breakfast with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/02/21?\", \"Carter, Emily\"], [\"what did I eat for breakfast on 2010/02/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e314\", \"logical_representation\": [\"2010/02/21\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/02/21?\", \"26 minutes\"], [\"what did I read on 2010/02/21?\", \"news\"], [\"Did I read on 2010/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e315\", \"logical_representation\": [\"2010/02/21\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I watched a tv series for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/21?\", \"6 minutes\"], [\"what did I watch on tv on 2010/02/21?\", \"a tv series\"], [\"Did I watch tv on 2010/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/22\": {\"exercise\": {\"eid\": \"e316\", \"logical_representation\": [\"2010/02/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/02/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/02/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e317\", \"logical_representation\": [\"2010/02/22\", \"breakfast\", \"cereals\", \"Hazel, Lydia, Avery, Nora, Eva, Nevaeh, Rylee, Claire, Olivia, Piper\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/02/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e318\", \"logical_representation\": [\"2010/02/22\", \"Eva, Lydia\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I talked to Eva, Lydia for 9 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia in the early afternoon on 2010/02/22?\", \"9 minutes\"], [\"who did I talk to on 2010/02/22?\", \"Eva, Lydia\"], [\"Did I talk to Eva, Lydia on 2010/02/22?\", \"yes\"], [\"Did I talk to anyone on 2010/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e319\", \"logical_representation\": [\"2010/02/22\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/02/22?\", \"47 minutes\"], [\"what did I read on 2010/02/22?\", \"social media\"], [\"Did I read on 2010/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e320\", \"logical_representation\": [\"2010/02/22\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/22?\", \"19 minutes\"], [\"what did I watch on tv on 2010/02/22?\", \"news\"], [\"Did I watch tv on 2010/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/25\": {\"breakfast\": {\"eid\": \"e327\", \"logical_representation\": [\"2010/02/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/02/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e328\", \"logical_representation\": [\"2010/02/25\", \"dinner\", \"chinese food\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/02/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e329\", \"logical_representation\": [\"2010/02/25\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/02/25?\", \"49 minutes\"], [\"what did I read on 2010/02/25?\", \"social media\"], [\"Did I read on 2010/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e330\", \"logical_representation\": [\"2010/02/25\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I watched a movie for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/25?\", \"7 minutes\"], [\"what did I watch on tv on 2010/02/25?\", \"a movie\"], [\"Did I watch tv on 2010/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/27\": {\"exercise\": {\"eid\": \"e334\", \"logical_representation\": [\"2010/02/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/02/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/02/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e335\", \"logical_representation\": [\"2010/02/27\", \"lunch\", \"sandwich\", \"Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/02/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e336\", \"logical_representation\": [\"2010/02/27\", \"dinner\", \"steak\", \"Olivia, Nevaeh\"], \"text_template_based\": \"I had dinner with Olivia, Nevaeh. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/02/27?\", \"Olivia, Nevaeh\"], [\"what did I eat for dinner on 2010/02/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e337\", \"logical_representation\": [\"2010/02/27\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/27?\", \"32 minutes\"], [\"what did I watch on tv on 2010/02/27?\", \"a documentary\"], [\"Did I watch tv on 2010/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/28\": {\"exercise\": {\"eid\": \"e338\", \"logical_representation\": [\"2010/02/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/02/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/02/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e339\", \"logical_representation\": [\"2010/02/28\", \"breakfast\", \"cereals\", \"Olivia, Layla, Piper, Claire, Nevaeh, Nora, Eva\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/02/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e340\", \"logical_representation\": [\"2010/02/28\", \"lunch\", \"sushi\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I had sushi for lunch with Avery, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/02/28?\", \"Avery, Willow, Benjamin\"], [\"what did I eat for lunch on 2010/02/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e341\", \"logical_representation\": [\"2010/02/28\", \"Lydia\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I talked to Lydia for 47 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2010/02/28?\", \"47 minutes\"], [\"who did I talk to on 2010/02/28?\", \"Lydia\"], [\"Did I talk to Lydia on 2010/02/28?\", \"yes\"], [\"Did I talk to anyone on 2010/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e342\", \"logical_representation\": [\"2010/02/28\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/28?\", \"52 minutes\"], [\"what did I watch on tv on 2010/02/28?\", \"a documentary\"], [\"Did I watch tv on 2010/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/02\": {\"lunch\": {\"eid\": \"e348\", \"logical_representation\": [\"2010/03/02\", \"lunch\", \"sandwich\", \"Benjamin, Avery\"], \"text_template_based\": \"I had lunch with Benjamin, Avery. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/03/02?\", \"Benjamin, Avery\"], [\"what did I eat for lunch on 2010/03/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e349\", \"logical_representation\": [\"2010/03/02\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/02?\", \"16 minutes\"], [\"what did I watch on tv on 2010/03/02?\", \"a documentary\"], [\"Did I watch tv on 2010/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/03\": {\"exercise\": {\"eid\": \"e350\", \"logical_representation\": [\"2010/03/03\", \"biking\"], \"text_template_based\": \"I did biking on 2010/03/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e351\", \"logical_representation\": [\"2010/03/03\", \"lunch\", \"sushi\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch with Emily, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/03/03?\", \"Emily, Carter\"], [\"what did I eat for lunch on 2010/03/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e352\", \"logical_representation\": [\"2010/03/03\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/03/03?\", \"10 minutes\"], [\"what did I read on 2010/03/03?\", \"a book\"], [\"Did I read on 2010/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e353\", \"logical_representation\": [\"2010/03/03\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/03?\", \"18 minutes\"], [\"what did I watch on tv on 2010/03/03?\", \"a movie\"], [\"Did I watch tv on 2010/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/06\": {\"breakfast\": {\"eid\": \"e363\", \"logical_representation\": [\"2010/03/06\", \"breakfast\", \"pancakes\", \"Benjamin\"], \"text_template_based\": \"I had pancakes for breakfast with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/03/06?\", \"Benjamin\"], [\"what did I eat for breakfast on 2010/03/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e364\", \"logical_representation\": [\"2010/03/06\", \"lunch\", \"chinese food\", \"Piper, Nevaeh, Olivia, Lydia, Kinsley, Avery, Hazel, Claire, Layla, Eva, Nora, Rylee\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e365\", \"logical_representation\": [\"2010/03/06\", \"dinner\", \"indian food\", \"Piper, Lydia, Rylee, Layla, Olivia, Avery\"], \"text_template_based\": \"I had indian food for dinner with Piper, Lydia, Rylee, Layla, Olivia, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/03/06?\", \"Piper, Lydia, Rylee, Layla, Olivia, Avery\"], [\"what did I eat for dinner on 2010/03/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e366\", \"logical_representation\": [\"2010/03/06\", \"Hazel\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Hazel for 6 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2010/03/06?\", \"6 minutes\"], [\"who did I talk to on 2010/03/06?\", \"Hazel\"], [\"Did I talk to Hazel on 2010/03/06?\", \"yes\"], [\"Did I talk to anyone on 2010/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e367\", \"logical_representation\": [\"2010/03/06\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/03/06?\", \"36 minutes\"], [\"what did I read on 2010/03/06?\", \"news\"], [\"Did I read on 2010/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/07\": {\"breakfast\": {\"eid\": \"e368\", \"logical_representation\": [\"2010/03/07\", \"breakfast\", \"pancakes\", \"Piper, Eva, Claire, Hazel, Lydia, Nevaeh, Nora\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/03/07\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e369\", \"logical_representation\": [\"2010/03/07\", \"dinner\", \"a burger\", \"Avery, Rylee, Nevaeh, Piper, Nora, Hazel\"], \"text_template_based\": \"I had a burger for dinner with Avery, Rylee, Nevaeh, Piper, Nora, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/03/07?\", \"Avery, Rylee, Nevaeh, Piper, Nora, Hazel\"], [\"what did I eat for dinner on 2010/03/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e370\", \"logical_representation\": [\"2010/03/07\", \"Nevaeh, Claire\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Nevaeh, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire late in the evening on 2010/03/07?\", \"55 minutes\"], [\"who did I talk to on 2010/03/07?\", \"Nevaeh, Claire\"], [\"Did I talk to Nevaeh, Claire on 2010/03/07?\", \"yes\"], [\"Did I talk to anyone on 2010/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e371\", \"logical_representation\": [\"2010/03/07\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/03/07?\", \"50 minutes\"], [\"what did I read on 2010/03/07?\", \"social media\"], [\"Did I read on 2010/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/08\": {\"exercise\": {\"eid\": \"e372\", \"logical_representation\": [\"2010/03/08\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/03/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/08?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e373\", \"logical_representation\": [\"2010/03/08\", \"lunch\", \"indian food\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e374\", \"logical_representation\": [\"2010/03/08\", \"dinner\", \"chinese food\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e375\", \"logical_representation\": [\"2010/03/08\", \"Piper, Olivia, Nevaeh, Claire\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Piper, Olivia, Nevaeh, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Nevaeh, Claire late in the evening on 2010/03/08?\", \"22 minutes\"], [\"who did I talk to on 2010/03/08?\", \"Piper, Olivia, Nevaeh, Claire\"], [\"Did I talk to Piper, Olivia, Nevaeh, Claire on 2010/03/08?\", \"yes\"], [\"Did I talk to anyone on 2010/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e376\", \"logical_representation\": [\"2010/03/08\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/03/08?\", \"16 minutes\"], [\"what did I read on 2010/03/08?\", \"social media\"], [\"Did I read on 2010/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/09\": {\"chat0\": {\"eid\": \"e377\", \"logical_representation\": [\"2010/03/09\", \"Nevaeh, Lydia\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Nevaeh, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia during lunch hours on 2010/03/09?\", \"47 minutes\"], [\"who did I talk to on 2010/03/09?\", \"Nevaeh, Lydia\"], [\"Did I talk to Nevaeh, Lydia on 2010/03/09?\", \"yes\"], [\"Did I talk to anyone on 2010/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e378\", \"logical_representation\": [\"2010/03/09\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I watched a movie for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/09?\", \"50 minutes\"], [\"what did I watch on tv on 2010/03/09?\", \"a movie\"], [\"Did I watch tv on 2010/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/12\": {\"lunch\": {\"eid\": \"e393\", \"logical_representation\": [\"2010/03/12\", \"lunch\", \"fish and chips\", \"Jackson, Avery\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e394\", \"logical_representation\": [\"2010/03/12\", \"dinner\", \"a burger\", \"Lydia, Olivia, Rylee, Piper, Avery, Claire, Nora\"], \"text_template_based\": \"I had a burger for dinner with Lydia, Olivia, Rylee, Piper, Avery, Claire, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/03/12?\", \"Lydia, Olivia, Rylee, Piper, Avery, Claire, Nora\"], [\"what did I eat for dinner on 2010/03/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e395\", \"logical_representation\": [\"2010/03/12\", \"Hazel, Avery, Kinsley\", \"during lunch hours\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Hazel, Avery, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Kinsley during lunch hours on 2010/03/12?\", \"50 minutes\"], [\"who did I talk to on 2010/03/12?\", \"Hazel, Avery, Kinsley\"], [\"Did I talk to Hazel, Avery, Kinsley on 2010/03/12?\", \"yes\"], [\"Did I talk to anyone on 2010/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e396\", \"logical_representation\": [\"2010/03/12\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/03/12?\", \"7 minutes\"], [\"what did I read on 2010/03/12?\", \"social media\"], [\"Did I read on 2010/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e397\", \"logical_representation\": [\"2010/03/12\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/12?\", \"32 minutes\"], [\"what did I watch on tv on 2010/03/12?\", \"a movie\"], [\"Did I watch tv on 2010/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/13\": {\"chat1\": {\"eid\": \"e398\", \"logical_representation\": [\"2010/03/13\", \"Avery\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2010/03/13?\", \"49 minutes\"], [\"who did I talk to on 2010/03/13?\", \"Avery\"], [\"Did I talk to Avery on 2010/03/13?\", \"yes\"], [\"Did I talk to anyone on 2010/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e399\", \"logical_representation\": [\"2010/03/13\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/13?\", \"9 minutes\"], [\"what did I watch on tv on 2010/03/13?\", \"a documentary\"], [\"Did I watch tv on 2010/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/17\": {\"breakfast\": {\"eid\": \"e409\", \"logical_representation\": [\"2010/03/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/03/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e410\", \"logical_representation\": [\"2010/03/17\", \"Piper, Kinsley, Layla, Eva\", \"during lunch hours\", \"15 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Layla, Eva for 15 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Layla, Eva during lunch hours on 2010/03/17?\", \"15 minutes\"], [\"who did I talk to on 2010/03/17?\", \"Piper, Kinsley, Layla, Eva\"], [\"Did I talk to Piper, Kinsley, Layla, Eva on 2010/03/17?\", \"yes\"], [\"Did I talk to anyone on 2010/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e411\", \"logical_representation\": [\"2010/03/17\", \"Avery, Rylee, Lydia, Kinsley\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Avery, Rylee, Lydia, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee, Lydia, Kinsley during lunch hours on 2010/03/17?\", \"12 minutes\"], [\"who did I talk to on 2010/03/17?\", \"Avery, Rylee, Lydia, Kinsley\"], [\"Did I talk to Avery, Rylee, Lydia, Kinsley on 2010/03/17?\", \"yes\"], [\"Did I talk to anyone on 2010/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e412\", \"logical_representation\": [\"2010/03/17\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I watched a movie for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/17?\", \"7 minutes\"], [\"what did I watch on tv on 2010/03/17?\", \"a movie\"], [\"Did I watch tv on 2010/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/18\": {\"exercise\": {\"eid\": \"e413\", \"logical_representation\": [\"2010/03/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/03/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e414\", \"logical_representation\": [\"2010/03/18\", \"lunch\", \"steak\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Kayden, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/03/18?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2010/03/18\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/03/19\": {\"exercise\": {\"eid\": \"e415\", \"logical_representation\": [\"2010/03/19\", \"running\"], \"text_template_based\": \"I did running on 2010/03/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e416\", \"logical_representation\": [\"2010/03/19\", \"dinner\", \"steak\", \"Eva, Hazel, Kinsley, Nora, Layla, Piper, Piper, Claire, Olivia, Nevaeh\"], \"text_template_based\": \"I had steak for dinner with Eva, Hazel, Kinsley, Nora, Layla, Piper, Piper, Claire, Olivia, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/03/19?\", \"Eva, Hazel, Kinsley, Nora, Layla, Piper, Piper, Claire, Olivia, Nevaeh\"], [\"what did I eat for dinner on 2010/03/19\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e417\", \"logical_representation\": [\"2010/03/19\", \"Hazel\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2010/03/19?\", \"51 minutes\"], [\"who did I talk to on 2010/03/19?\", \"Hazel\"], [\"Did I talk to Hazel on 2010/03/19?\", \"yes\"], [\"Did I talk to anyone on 2010/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e418\", \"logical_representation\": [\"2010/03/19\", \"Olivia, Kinsley, Claire, Rylee\", \"in the early evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Olivia, Kinsley, Claire, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Claire, Rylee in the early evening on 2010/03/19?\", \"36 minutes\"], [\"who did I talk to on 2010/03/19?\", \"Olivia, Kinsley, Claire, Rylee\"], [\"Did I talk to Olivia, Kinsley, Claire, Rylee on 2010/03/19?\", \"yes\"], [\"Did I talk to anyone on 2010/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e419\", \"logical_representation\": [\"2010/03/19\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/19?\", \"10 minutes\"], [\"what did I watch on tv on 2010/03/19?\", \"a movie\"], [\"Did I watch tv on 2010/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/20\": {\"breakfast\": {\"eid\": \"e420\", \"logical_representation\": [\"2010/03/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/03/20?\", \"Emily\"], [\"what did I eat for breakfast on 2010/03/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e421\", \"logical_representation\": [\"2010/03/20\", \"lunch\", \"a burger\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e422\", \"logical_representation\": [\"2010/03/20\", \"dinner\", \"fish and chips\", \"Benjamin, Avery\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e423\", \"logical_representation\": [\"2010/03/20\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/03/20?\", \"38 minutes\"], [\"what did I read on 2010/03/20?\", \"news\"], [\"Did I read on 2010/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e424\", \"logical_representation\": [\"2010/03/20\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/20?\", \"50 minutes\"], [\"what did I watch on tv on 2010/03/20?\", \"a movie\"], [\"Did I watch tv on 2010/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/21\": {\"breakfast\": {\"eid\": \"e425\", \"logical_representation\": [\"2010/03/21\", \"breakfast\", \"cereals\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/03/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e426\", \"logical_representation\": [\"2010/03/21\", \"lunch\", \"chinese food\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e427\", \"logical_representation\": [\"2010/03/21\", \"Kinsley\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the late afternoon on 2010/03/21?\", \"26 minutes\"], [\"who did I talk to on 2010/03/21?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2010/03/21?\", \"yes\"], [\"Did I talk to anyone on 2010/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e428\", \"logical_representation\": [\"2010/03/21\", \"Kinsley, Layla, Lydia, Hazel\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla, Lydia, Hazel for 33 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Lydia, Hazel during lunch hours on 2010/03/21?\", \"33 minutes\"], [\"who did I talk to on 2010/03/21?\", \"Kinsley, Layla, Lydia, Hazel\"], [\"Did I talk to Kinsley, Layla, Lydia, Hazel on 2010/03/21?\", \"yes\"], [\"Did I talk to anyone on 2010/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/22\": {\"exercise\": {\"eid\": \"e429\", \"logical_representation\": [\"2010/03/22\", \"biking\"], \"text_template_based\": \"I did biking on 2010/03/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e430\", \"logical_representation\": [\"2010/03/22\", \"lunch\", \"sushi\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I had sushi for lunch with Benjamin, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/03/22?\", \"Benjamin, Avery, Willow\"], [\"what did I eat for lunch on 2010/03/22\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e431\", \"logical_representation\": [\"2010/03/22\", \"dinner\", \"pasta\", \"Piper, Lydia, Nora, Olivia\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e432\", \"logical_representation\": [\"2010/03/22\", \"Layla\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I talked to Layla for 7 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla during lunch hours on 2010/03/22?\", \"7 minutes\"], [\"who did I talk to on 2010/03/22?\", \"Layla\"], [\"Did I talk to Layla on 2010/03/22?\", \"yes\"], [\"Did I talk to anyone on 2010/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e433\", \"logical_representation\": [\"2010/03/22\", \"Avery, Hazel, Nevaeh, Piper\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Avery, Hazel, Nevaeh, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Nevaeh, Piper in the early evening on 2010/03/22?\", \"20 minutes\"], [\"who did I talk to on 2010/03/22?\", \"Avery, Hazel, Nevaeh, Piper\"], [\"Did I talk to Avery, Hazel, Nevaeh, Piper on 2010/03/22?\", \"yes\"], [\"Did I talk to anyone on 2010/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e434\", \"logical_representation\": [\"2010/03/22\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/03/22?\", \"14 minutes\"], [\"what did I read on 2010/03/22?\", \"social media\"], [\"Did I read on 2010/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/23\": {\"exercise\": {\"eid\": \"e435\", \"logical_representation\": [\"2010/03/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/03/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e436\", \"logical_representation\": [\"2010/03/23\", \"breakfast\", \"pancakes\", \"Avery, Benjamin\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/03/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e437\", \"logical_representation\": [\"2010/03/23\", \"Kinsley, Piper\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper for 54 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the morning on 2010/03/23?\", \"54 minutes\"], [\"who did I talk to on 2010/03/23?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2010/03/23?\", \"yes\"], [\"Did I talk to anyone on 2010/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e438\", \"logical_representation\": [\"2010/03/23\", \"Piper\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I talked to Piper for 49 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2010/03/23?\", \"49 minutes\"], [\"who did I talk to on 2010/03/23?\", \"Piper\"], [\"Did I talk to Piper on 2010/03/23?\", \"yes\"], [\"Did I talk to anyone on 2010/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e439\", \"logical_representation\": [\"2010/03/23\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/03/23?\", \"37 minutes\"], [\"what did I read on 2010/03/23?\", \"news\"], [\"Did I read on 2010/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e440\", \"logical_representation\": [\"2010/03/23\", \"a tv series\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/23?\", \"52 minutes\"], [\"what did I watch on tv on 2010/03/23?\", \"a tv series\"], [\"Did I watch tv on 2010/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/26\": {\"exercise\": {\"eid\": \"e450\", \"logical_representation\": [\"2010/03/26\", \"running\"], \"text_template_based\": \"I did running on 2010/03/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e451\", \"logical_representation\": [\"2010/03/26\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had a burger for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/03/26?\", \"Emily\"], [\"what did I eat for dinner on 2010/03/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e452\", \"logical_representation\": [\"2010/03/26\", \"Layla, Rylee, Piper\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Layla, Rylee, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Piper in the early evening on 2010/03/26?\", \"20 minutes\"], [\"who did I talk to on 2010/03/26?\", \"Layla, Rylee, Piper\"], [\"Did I talk to Layla, Rylee, Piper on 2010/03/26?\", \"yes\"], [\"Did I talk to anyone on 2010/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e453\", \"logical_representation\": [\"2010/03/26\", \"Kinsley\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the morning on 2010/03/26?\", \"9 minutes\"], [\"who did I talk to on 2010/03/26?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2010/03/26?\", \"yes\"], [\"Did I talk to anyone on 2010/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e454\", \"logical_representation\": [\"2010/03/26\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/03/26?\", \"33 minutes\"], [\"what did I read on 2010/03/26?\", \"a book\"], [\"Did I read on 2010/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e455\", \"logical_representation\": [\"2010/03/26\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I watched a movie for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/26?\", \"36 minutes\"], [\"what did I watch on tv on 2010/03/26?\", \"a movie\"], [\"Did I watch tv on 2010/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/27\": {\"exercise\": {\"eid\": \"e456\", \"logical_representation\": [\"2010/03/27\", \"biking\"], \"text_template_based\": \"I did biking on 2010/03/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/27?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e457\", \"logical_representation\": [\"2010/03/27\", \"breakfast\", \"pancakes\", \"Kinsley, Lydia, Rylee\"], \"text_template_based\": \"I had breakfast with Kinsley, Lydia, Rylee. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/03/27?\", \"Kinsley, Lydia, Rylee\"], [\"what did I eat for breakfast on 2010/03/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e458\", \"logical_representation\": [\"2010/03/27\", \"lunch\", \"tacos\", \"Emily, Carter\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e459\", \"logical_representation\": [\"2010/03/27\", \"Nevaeh, Claire, Eva, Piper\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Claire, Eva, Piper for 25 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire, Eva, Piper in the early afternoon on 2010/03/27?\", \"25 minutes\"], [\"who did I talk to on 2010/03/27?\", \"Nevaeh, Claire, Eva, Piper\"], [\"Did I talk to Nevaeh, Claire, Eva, Piper on 2010/03/27?\", \"yes\"], [\"Did I talk to anyone on 2010/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e460\", \"logical_representation\": [\"2010/03/27\", \"Avery, Piper, Olivia, Hazel\", \"in the late afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Olivia, Hazel for 8 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Olivia, Hazel in the late afternoon on 2010/03/27?\", \"8 minutes\"], [\"who did I talk to on 2010/03/27?\", \"Avery, Piper, Olivia, Hazel\"], [\"Did I talk to Avery, Piper, Olivia, Hazel on 2010/03/27?\", \"yes\"], [\"Did I talk to anyone on 2010/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/30\": {\"exercise\": {\"eid\": \"e471\", \"logical_representation\": [\"2010/03/30\", \"biking\"], \"text_template_based\": \"I did biking on 2010/03/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e472\", \"logical_representation\": [\"2010/03/30\", \"lunch\", \"steak\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e473\", \"logical_representation\": [\"2010/03/30\", \"dinner\", \"a burger\", \"Rylee, Claire, Piper, Nevaeh, Layla, Eva, Olivia, Kinsley, Avery\"], \"text_template_based\": \"I had a burger for dinner with Rylee, Claire, Piper, Nevaeh, Layla, Eva, Olivia, Kinsley, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/03/30?\", \"Rylee, Claire, Piper, Nevaeh, Layla, Eva, Olivia, Kinsley, Avery\"], [\"what did I eat for dinner on 2010/03/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e474\", \"logical_representation\": [\"2010/03/30\", \"Hazel, Layla, Kinsley\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Hazel, Layla, Kinsley for 14 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla, Kinsley in the late afternoon on 2010/03/30?\", \"14 minutes\"], [\"who did I talk to on 2010/03/30?\", \"Hazel, Layla, Kinsley\"], [\"Did I talk to Hazel, Layla, Kinsley on 2010/03/30?\", \"yes\"], [\"Did I talk to anyone on 2010/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e475\", \"logical_representation\": [\"2010/03/30\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/03/30?\", \"38 minutes\"], [\"what did I read on 2010/03/30?\", \"social media\"], [\"Did I read on 2010/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e476\", \"logical_representation\": [\"2010/03/30\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/30?\", \"51 minutes\"], [\"what did I watch on tv on 2010/03/30?\", \"a documentary\"], [\"Did I watch tv on 2010/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/31\": {\"lunch\": {\"eid\": \"e477\", \"logical_representation\": [\"2010/03/31\", \"lunch\", \"tacos\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch with Emily, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/03/31?\", \"Emily, Carter\"], [\"what did I eat for lunch on 2010/03/31\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e478\", \"logical_representation\": [\"2010/03/31\", \"Olivia, Avery, Rylee, Kinsley\", \"in the morning\", \"16 minutes\"], \"text_template_based\": \"I talked to Olivia, Avery, Rylee, Kinsley for 16 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Rylee, Kinsley in the morning on 2010/03/31?\", \"16 minutes\"], [\"who did I talk to on 2010/03/31?\", \"Olivia, Avery, Rylee, Kinsley\"], [\"Did I talk to Olivia, Avery, Rylee, Kinsley on 2010/03/31?\", \"yes\"], [\"Did I talk to anyone on 2010/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e479\", \"logical_representation\": [\"2010/03/31\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/03/31?\", \"30 minutes\"], [\"what did I read on 2010/03/31?\", \"social media\"], [\"Did I read on 2010/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e480\", \"logical_representation\": [\"2010/03/31\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/03/31?\", \"47 minutes\"], [\"what did I watch on tv on 2010/03/31?\", \"a documentary\"], [\"Did I watch tv on 2010/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/01\": {\"exercise\": {\"eid\": \"e481\", \"logical_representation\": [\"2010/04/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/04/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e482\", \"logical_representation\": [\"2010/04/01\", \"lunch\", \"fish and chips\", \"Kinsley, Avery, Olivia, Lydia, Rylee, Nevaeh, Hazel, Layla, Claire, Eva\"], \"text_template_based\": \"I had fish and chips for lunch with Kinsley, Avery, Olivia, Lydia, Rylee, Nevaeh, Hazel, Layla, Claire, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/04/01?\", \"Kinsley, Avery, Olivia, Lydia, Rylee, Nevaeh, Hazel, Layla, Claire, Eva\"], [\"what did I eat for lunch on 2010/04/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e483\", \"logical_representation\": [\"2010/04/01\", \"Piper, Eva, Nora, Claire\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Piper, Eva, Nora, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Nora, Claire in the late afternoon on 2010/04/01?\", \"33 minutes\"], [\"who did I talk to on 2010/04/01?\", \"Piper, Eva, Nora, Claire\"], [\"Did I talk to Piper, Eva, Nora, Claire on 2010/04/01?\", \"yes\"], [\"Did I talk to anyone on 2010/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e484\", \"logical_representation\": [\"2010/04/01\", \"Claire, Piper\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Claire, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper during lunch hours on 2010/04/01?\", \"51 minutes\"], [\"who did I talk to on 2010/04/01?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2010/04/01?\", \"yes\"], [\"Did I talk to anyone on 2010/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e485\", \"logical_representation\": [\"2010/04/01\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/04/01?\", \"48 minutes\"], [\"what did I read on 2010/04/01?\", \"social media\"], [\"Did I read on 2010/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/02\": {\"chat0\": {\"eid\": \"e486\", \"logical_representation\": [\"2010/04/02\", \"Nora, Lydia, Olivia\", \"in the early evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Nora, Lydia, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Olivia in the early evening on 2010/04/02?\", \"13 minutes\"], [\"who did I talk to on 2010/04/02?\", \"Nora, Lydia, Olivia\"], [\"Did I talk to Nora, Lydia, Olivia on 2010/04/02?\", \"yes\"], [\"Did I talk to anyone on 2010/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e487\", \"logical_representation\": [\"2010/04/02\", \"Piper, Layla, Nevaeh\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Piper, Layla, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Nevaeh in the early evening on 2010/04/02?\", \"49 minutes\"], [\"who did I talk to on 2010/04/02?\", \"Piper, Layla, Nevaeh\"], [\"Did I talk to Piper, Layla, Nevaeh on 2010/04/02?\", \"yes\"], [\"Did I talk to anyone on 2010/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e488\", \"logical_representation\": [\"2010/04/02\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/04/02?\", \"37 minutes\"], [\"what did I read on 2010/04/02?\", \"news\"], [\"Did I read on 2010/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/03\": {\"dinner\": {\"eid\": \"e489\", \"logical_representation\": [\"2010/04/03\", \"dinner\", \"fish and chips\", \"Avery\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/04/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e490\", \"logical_representation\": [\"2010/04/03\", \"news\", \"46 minutes\"], \"text_template_based\": \"I watched news for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/03?\", \"46 minutes\"], [\"what did I watch on tv on 2010/04/03?\", \"news\"], [\"Did I watch tv on 2010/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/04\": {\"exercise\": {\"eid\": \"e491\", \"logical_representation\": [\"2010/04/04\", \"biking\"], \"text_template_based\": \"I did biking on 2010/04/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e492\", \"logical_representation\": [\"2010/04/04\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Andrew, Kayden, Carter. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/04/04?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2010/04/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e493\", \"logical_representation\": [\"2010/04/04\", \"lunch\", \"a burger\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e494\", \"logical_representation\": [\"2010/04/04\", \"Kinsley\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Kinsley for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2010/04/04?\", \"18 minutes\"], [\"who did I talk to on 2010/04/04?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2010/04/04?\", \"yes\"], [\"Did I talk to anyone on 2010/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e495\", \"logical_representation\": [\"2010/04/04\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/04/04?\", \"15 minutes\"], [\"what did I read on 2010/04/04?\", \"a book\"], [\"Did I read on 2010/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e496\", \"logical_representation\": [\"2010/04/04\", \"a documentary\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/04?\", \"6 minutes\"], [\"what did I watch on tv on 2010/04/04?\", \"a documentary\"], [\"Did I watch tv on 2010/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/06\": {\"dinner\": {\"eid\": \"e500\", \"logical_representation\": [\"2010/04/06\", \"dinner\", \"chinese food\", \"Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/04/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e501\", \"logical_representation\": [\"2010/04/06\", \"Piper, Avery, Olivia\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Olivia for 13 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Olivia late in the evening on 2010/04/06?\", \"13 minutes\"], [\"who did I talk to on 2010/04/06?\", \"Piper, Avery, Olivia\"], [\"Did I talk to Piper, Avery, Olivia on 2010/04/06?\", \"yes\"], [\"Did I talk to anyone on 2010/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e502\", \"logical_representation\": [\"2010/04/06\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/06?\", \"36 minutes\"], [\"what did I watch on tv on 2010/04/06?\", \"a documentary\"], [\"Did I watch tv on 2010/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/08\": {\"breakfast\": {\"eid\": \"e507\", \"logical_representation\": [\"2010/04/08\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Avery, Benjamin, Willow. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/04/08?\", \"Jackson, Avery, Benjamin, Willow\"], [\"what did I eat for breakfast on 2010/04/08\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e508\", \"logical_representation\": [\"2010/04/08\", \"lunch\", \"pasta\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had lunch with Carter, Andrew, Kayden, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/04/08?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2010/04/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e509\", \"logical_representation\": [\"2010/04/08\", \"Eva, Lydia, Nevaeh, Kinsley\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Eva, Lydia, Nevaeh, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Nevaeh, Kinsley during lunch hours on 2010/04/08?\", \"26 minutes\"], [\"who did I talk to on 2010/04/08?\", \"Eva, Lydia, Nevaeh, Kinsley\"], [\"Did I talk to Eva, Lydia, Nevaeh, Kinsley on 2010/04/08?\", \"yes\"], [\"Did I talk to anyone on 2010/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e510\", \"logical_representation\": [\"2010/04/08\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/04/08?\", \"51 minutes\"], [\"what did I read on 2010/04/08?\", \"news\"], [\"Did I read on 2010/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e511\", \"logical_representation\": [\"2010/04/08\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I watched a documentary for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/08?\", \"20 minutes\"], [\"what did I watch on tv on 2010/04/08?\", \"a documentary\"], [\"Did I watch tv on 2010/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/09\": {\"breakfast\": {\"eid\": \"e512\", \"logical_representation\": [\"2010/04/09\", \"breakfast\", \"toast and cheese\", \"Benjamin\"], \"text_template_based\": \"I had toast and cheese for breakfast with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/04/09?\", \"Benjamin\"], [\"what did I eat for breakfast on 2010/04/09\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e513\", \"logical_representation\": [\"2010/04/09\", \"Lydia, Kinsley, Layla, Hazel\", \"in the early afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley, Layla, Hazel for 14 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Layla, Hazel in the early afternoon on 2010/04/09?\", \"14 minutes\"], [\"who did I talk to on 2010/04/09?\", \"Lydia, Kinsley, Layla, Hazel\"], [\"Did I talk to Lydia, Kinsley, Layla, Hazel on 2010/04/09?\", \"yes\"], [\"Did I talk to anyone on 2010/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/10\": {\"breakfast\": {\"eid\": \"e514\", \"logical_representation\": [\"2010/04/10\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Piper, Nora, Nevaeh\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/04/10\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e515\", \"logical_representation\": [\"2010/04/10\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e516\", \"logical_representation\": [\"2010/04/10\", \"Nevaeh, Piper, Layla\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Nevaeh, Piper, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Layla in the late afternoon on 2010/04/10?\", \"32 minutes\"], [\"who did I talk to on 2010/04/10?\", \"Nevaeh, Piper, Layla\"], [\"Did I talk to Nevaeh, Piper, Layla on 2010/04/10?\", \"yes\"], [\"Did I talk to anyone on 2010/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e517\", \"logical_representation\": [\"2010/04/10\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/04/10?\", \"45 minutes\"], [\"what did I read on 2010/04/10?\", \"social media\"], [\"Did I read on 2010/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e518\", \"logical_representation\": [\"2010/04/10\", \"a documentary\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/10?\", \"41 minutes\"], [\"what did I watch on tv on 2010/04/10?\", \"a documentary\"], [\"Did I watch tv on 2010/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/11\": {\"exercise\": {\"eid\": \"e519\", \"logical_representation\": [\"2010/04/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/04/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e520\", \"logical_representation\": [\"2010/04/11\", \"breakfast\", \"oatmeal\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had oatmeal for breakfast with Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/04/11?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2010/04/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e521\", \"logical_representation\": [\"2010/04/11\", \"Piper, Piper\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Piper, Piper for 50 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper in the early evening on 2010/04/11?\", \"50 minutes\"], [\"who did I talk to on 2010/04/11?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2010/04/11?\", \"yes\"], [\"Did I talk to anyone on 2010/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e522\", \"logical_representation\": [\"2010/04/11\", \"a tv series\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/11?\", \"29 minutes\"], [\"what did I watch on tv on 2010/04/11?\", \"a tv series\"], [\"Did I watch tv on 2010/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/12\": {\"exercise\": {\"eid\": \"e523\", \"logical_representation\": [\"2010/04/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/04/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e524\", \"logical_representation\": [\"2010/04/12\", \"breakfast\", \"oatmeal\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/04/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e525\", \"logical_representation\": [\"2010/04/12\", \"lunch\", \"sandwich\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e526\", \"logical_representation\": [\"2010/04/12\", \"Eva, Hazel, Kinsley\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Eva, Hazel, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Kinsley in the morning on 2010/04/12?\", \"27 minutes\"], [\"who did I talk to on 2010/04/12?\", \"Eva, Hazel, Kinsley\"], [\"Did I talk to Eva, Hazel, Kinsley on 2010/04/12?\", \"yes\"], [\"Did I talk to anyone on 2010/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e527\", \"logical_representation\": [\"2010/04/12\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I watched a documentary for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/12?\", \"51 minutes\"], [\"what did I watch on tv on 2010/04/12?\", \"a documentary\"], [\"Did I watch tv on 2010/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/13\": {\"breakfast\": {\"eid\": \"e528\", \"logical_representation\": [\"2010/04/13\", \"breakfast\", \"pancakes\", \"Eva, Piper, Hazel\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/04/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e529\", \"logical_representation\": [\"2010/04/13\", \"dinner\", \"sushi\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/04/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e530\", \"logical_representation\": [\"2010/04/13\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/04/13?\", \"22 minutes\"], [\"what did I read on 2010/04/13?\", \"social media\"], [\"Did I read on 2010/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e531\", \"logical_representation\": [\"2010/04/13\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/13?\", \"47 minutes\"], [\"what did I watch on tv on 2010/04/13?\", \"a documentary\"], [\"Did I watch tv on 2010/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/14\": {\"lunch\": {\"eid\": \"e532\", \"logical_representation\": [\"2010/04/14\", \"lunch\", \"a burger\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e533\", \"logical_representation\": [\"2010/04/14\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/04/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e534\", \"logical_representation\": [\"2010/04/14\", \"Piper\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2010/04/14?\", \"37 minutes\"], [\"who did I talk to on 2010/04/14?\", \"Piper\"], [\"Did I talk to Piper on 2010/04/14?\", \"yes\"], [\"Did I talk to anyone on 2010/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e535\", \"logical_representation\": [\"2010/04/14\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/04/14?\", \"19 minutes\"], [\"what did I read on 2010/04/14?\", \"social media\"], [\"Did I read on 2010/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e536\", \"logical_representation\": [\"2010/04/14\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/14?\", \"30 minutes\"], [\"what did I watch on tv on 2010/04/14?\", \"a documentary\"], [\"Did I watch tv on 2010/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/16\": {\"exercise\": {\"eid\": \"e539\", \"logical_representation\": [\"2010/04/16\", \"biking\"], \"text_template_based\": \"I did biking on 2010/04/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e540\", \"logical_representation\": [\"2010/04/16\", \"lunch\", \"tacos\", \"Andrew, Carter\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e541\", \"logical_representation\": [\"2010/04/16\", \"dinner\", \"pasta\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/04/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e542\", \"logical_representation\": [\"2010/04/16\", \"Nevaeh, Olivia, Lydia, Hazel\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Lydia, Hazel for 10 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Lydia, Hazel late in the evening on 2010/04/16?\", \"10 minutes\"], [\"who did I talk to on 2010/04/16?\", \"Nevaeh, Olivia, Lydia, Hazel\"], [\"Did I talk to Nevaeh, Olivia, Lydia, Hazel on 2010/04/16?\", \"yes\"], [\"Did I talk to anyone on 2010/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e543\", \"logical_representation\": [\"2010/04/16\", \"Eva, Layla\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I talked to Eva, Layla for 17 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla during lunch hours on 2010/04/16?\", \"17 minutes\"], [\"who did I talk to on 2010/04/16?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2010/04/16?\", \"yes\"], [\"Did I talk to anyone on 2010/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e544\", \"logical_representation\": [\"2010/04/16\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/04/16?\", \"54 minutes\"], [\"what did I read on 2010/04/16?\", \"news\"], [\"Did I read on 2010/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/17\": {\"breakfast\": {\"eid\": \"e545\", \"logical_representation\": [\"2010/04/17\", \"breakfast\", \"oatmeal\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/04/17\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e546\", \"logical_representation\": [\"2010/04/17\", \"lunch\", \"indian food\", \"Kinsley, Layla, Avery, Nevaeh, Claire, Piper, Hazel, Eva, Rylee, Lydia, Olivia\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e547\", \"logical_representation\": [\"2010/04/17\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/04/17?\", \"11 minutes\"], [\"what did I read on 2010/04/17?\", \"a book\"], [\"Did I read on 2010/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e548\", \"logical_representation\": [\"2010/04/17\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/17?\", \"13 minutes\"], [\"what did I watch on tv on 2010/04/17?\", \"a documentary\"], [\"Did I watch tv on 2010/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/18\": {\"exercise\": {\"eid\": \"e549\", \"logical_representation\": [\"2010/04/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/04/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e550\", \"logical_representation\": [\"2010/04/18\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/04/18?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for breakfast on 2010/04/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e551\", \"logical_representation\": [\"2010/04/18\", \"lunch\", \"pasta\", \"Avery, Nora, Lydia, Kinsley, Claire, Hazel, Nevaeh\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e552\", \"logical_representation\": [\"2010/04/18\", \"dinner\", \"a burger\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Emily, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/04/18?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2010/04/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e553\", \"logical_representation\": [\"2010/04/18\", \"Olivia, Kinsley\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Olivia, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley in the morning on 2010/04/18?\", \"15 minutes\"], [\"who did I talk to on 2010/04/18?\", \"Olivia, Kinsley\"], [\"Did I talk to Olivia, Kinsley on 2010/04/18?\", \"yes\"], [\"Did I talk to anyone on 2010/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e554\", \"logical_representation\": [\"2010/04/18\", \"Layla, Kinsley, Rylee, Piper\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Layla, Kinsley, Rylee, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Rylee, Piper late in the evening on 2010/04/18?\", \"38 minutes\"], [\"who did I talk to on 2010/04/18?\", \"Layla, Kinsley, Rylee, Piper\"], [\"Did I talk to Layla, Kinsley, Rylee, Piper on 2010/04/18?\", \"yes\"], [\"Did I talk to anyone on 2010/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e555\", \"logical_representation\": [\"2010/04/18\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/18?\", \"10 minutes\"], [\"what did I watch on tv on 2010/04/18?\", \"a tv series\"], [\"Did I watch tv on 2010/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/20\": {\"breakfast\": {\"eid\": \"e560\", \"logical_representation\": [\"2010/04/20\", \"breakfast\", \"cereals\", \"Andrew, Carter\"], \"text_template_based\": \"I had cereals for breakfast with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/04/20?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2010/04/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e561\", \"logical_representation\": [\"2010/04/20\", \"Rylee\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2010/04/20?\", \"5 minutes\"], [\"who did I talk to on 2010/04/20?\", \"Rylee\"], [\"Did I talk to Rylee on 2010/04/20?\", \"yes\"], [\"Did I talk to anyone on 2010/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e562\", \"logical_representation\": [\"2010/04/20\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/04/20?\", \"43 minutes\"], [\"what did I read on 2010/04/20?\", \"news\"], [\"Did I read on 2010/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e563\", \"logical_representation\": [\"2010/04/20\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/20?\", \"40 minutes\"], [\"what did I watch on tv on 2010/04/20?\", \"a tv series\"], [\"Did I watch tv on 2010/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/21\": {\"dinner\": {\"eid\": \"e564\", \"logical_representation\": [\"2010/04/21\", \"dinner\", \"fish and chips\", \"Claire, Nevaeh, Layla, Piper, Lydia, Hazel, Olivia, Eva, Nora, Rylee, Piper, Avery\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/04/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e565\", \"logical_representation\": [\"2010/04/21\", \"Nora\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2010/04/21?\", \"10 minutes\"], [\"who did I talk to on 2010/04/21?\", \"Nora\"], [\"Did I talk to Nora on 2010/04/21?\", \"yes\"], [\"Did I talk to anyone on 2010/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e566\", \"logical_representation\": [\"2010/04/21\", \"Rylee, Eva, Hazel\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Rylee, Eva, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Hazel in the early evening on 2010/04/21?\", \"41 minutes\"], [\"who did I talk to on 2010/04/21?\", \"Rylee, Eva, Hazel\"], [\"Did I talk to Rylee, Eva, Hazel on 2010/04/21?\", \"yes\"], [\"Did I talk to anyone on 2010/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/22\": {\"exercise\": {\"eid\": \"e567\", \"logical_representation\": [\"2010/04/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/04/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e568\", \"logical_representation\": [\"2010/04/22\", \"lunch\", \"tacos\", \"Carter\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e569\", \"logical_representation\": [\"2010/04/22\", \"Nora, Piper\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Nora, Piper for 19 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the late afternoon on 2010/04/22?\", \"19 minutes\"], [\"who did I talk to on 2010/04/22?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2010/04/22?\", \"yes\"], [\"Did I talk to anyone on 2010/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e570\", \"logical_representation\": [\"2010/04/22\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/04/22?\", \"23 minutes\"], [\"what did I read on 2010/04/22?\", \"social media\"], [\"Did I read on 2010/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e571\", \"logical_representation\": [\"2010/04/22\", \"a documentary\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/22?\", \"14 minutes\"], [\"what did I watch on tv on 2010/04/22?\", \"a documentary\"], [\"Did I watch tv on 2010/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/23\": {\"chat0\": {\"eid\": \"e572\", \"logical_representation\": [\"2010/04/23\", \"Piper, Nevaeh, Avery, Layla\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Avery, Layla for 9 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Avery, Layla in the morning on 2010/04/23?\", \"9 minutes\"], [\"who did I talk to on 2010/04/23?\", \"Piper, Nevaeh, Avery, Layla\"], [\"Did I talk to Piper, Nevaeh, Avery, Layla on 2010/04/23?\", \"yes\"], [\"Did I talk to anyone on 2010/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e573\", \"logical_representation\": [\"2010/04/23\", \"Lydia, Claire, Layla\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I talked to Lydia, Claire, Layla for 33 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Layla in the early evening on 2010/04/23?\", \"33 minutes\"], [\"who did I talk to on 2010/04/23?\", \"Lydia, Claire, Layla\"], [\"Did I talk to Lydia, Claire, Layla on 2010/04/23?\", \"yes\"], [\"Did I talk to anyone on 2010/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e574\", \"logical_representation\": [\"2010/04/23\", \"a documentary\", \"55 minutes\"], \"text_template_based\": \"I watched a documentary for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/23?\", \"55 minutes\"], [\"what did I watch on tv on 2010/04/23?\", \"a documentary\"], [\"Did I watch tv on 2010/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/24\": {\"exercise\": {\"eid\": \"e575\", \"logical_representation\": [\"2010/04/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/04/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e576\", \"logical_representation\": [\"2010/04/24\", \"Nevaeh\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 40 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2010/04/24?\", \"40 minutes\"], [\"who did I talk to on 2010/04/24?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2010/04/24?\", \"yes\"], [\"Did I talk to anyone on 2010/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/28\": {\"dinner\": {\"eid\": \"e590\", \"logical_representation\": [\"2010/04/28\", \"dinner\", \"sandwich\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/04/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2010/04/29\": {\"exercise\": {\"eid\": \"e591\", \"logical_representation\": [\"2010/04/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/04/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e592\", \"logical_representation\": [\"2010/04/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/04/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e593\", \"logical_representation\": [\"2010/04/29\", \"lunch\", \"chinese food\", \"Willow, Benjamin\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e594\", \"logical_representation\": [\"2010/04/29\", \"dinner\", \"pasta\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had dinner with Willow, Benjamin, Jackson. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/04/29?\", \"Willow, Benjamin, Jackson\"], [\"what did I eat for dinner on 2010/04/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e595\", \"logical_representation\": [\"2010/04/29\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/04/29?\", \"52 minutes\"], [\"what did I read on 2010/04/29?\", \"news\"], [\"Did I read on 2010/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e596\", \"logical_representation\": [\"2010/04/29\", \"news\", \"30 minutes\"], \"text_template_based\": \"I watched news for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/29?\", \"30 minutes\"], [\"what did I watch on tv on 2010/04/29?\", \"news\"], [\"Did I watch tv on 2010/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/30\": {\"dinner\": {\"eid\": \"e597\", \"logical_representation\": [\"2010/04/30\", \"dinner\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/04/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e598\", \"logical_representation\": [\"2010/04/30\", \"Eva, Avery, Lydia, Piper\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I talked to Eva, Avery, Lydia, Piper for 29 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Lydia, Piper during lunch hours on 2010/04/30?\", \"29 minutes\"], [\"who did I talk to on 2010/04/30?\", \"Eva, Avery, Lydia, Piper\"], [\"Did I talk to Eva, Avery, Lydia, Piper on 2010/04/30?\", \"yes\"], [\"Did I talk to anyone on 2010/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e599\", \"logical_representation\": [\"2010/04/30\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/30?\", \"33 minutes\"], [\"what did I watch on tv on 2010/04/30?\", \"a documentary\"], [\"Did I watch tv on 2010/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/01\": {\"lunch\": {\"eid\": \"e600\", \"logical_representation\": [\"2010/05/01\", \"lunch\", \"tacos\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e601\", \"logical_representation\": [\"2010/05/01\", \"Lydia, Eva\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva for 42 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva in the late afternoon on 2010/05/01?\", \"42 minutes\"], [\"who did I talk to on 2010/05/01?\", \"Lydia, Eva\"], [\"Did I talk to Lydia, Eva on 2010/05/01?\", \"yes\"], [\"Did I talk to anyone on 2010/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e602\", \"logical_representation\": [\"2010/05/01\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/01?\", \"53 minutes\"], [\"what did I watch on tv on 2010/05/01?\", \"a movie\"], [\"Did I watch tv on 2010/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/02\": {\"exercise\": {\"eid\": \"e603\", \"logical_representation\": [\"2010/05/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/05/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e604\", \"logical_representation\": [\"2010/05/02\", \"Eva, Nevaeh\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I talked to Eva, Nevaeh for 17 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh during lunch hours on 2010/05/02?\", \"17 minutes\"], [\"who did I talk to on 2010/05/02?\", \"Eva, Nevaeh\"], [\"Did I talk to Eva, Nevaeh on 2010/05/02?\", \"yes\"], [\"Did I talk to anyone on 2010/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e605\", \"logical_representation\": [\"2010/05/02\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/05/02?\", \"40 minutes\"], [\"what did I read on 2010/05/02?\", \"news\"], [\"Did I read on 2010/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/03\": {\"dinner\": {\"eid\": \"e606\", \"logical_representation\": [\"2010/05/03\", \"dinner\", \"indian food\", \"Benjamin, Avery\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e607\", \"logical_representation\": [\"2010/05/03\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I watched a tv series for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/03?\", \"43 minutes\"], [\"what did I watch on tv on 2010/05/03?\", \"a tv series\"], [\"Did I watch tv on 2010/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/05\": {\"breakfast\": {\"eid\": \"e613\", \"logical_representation\": [\"2010/05/05\", \"breakfast\", \"oatmeal\", \"Hazel, Nevaeh, Claire\"], \"text_template_based\": \"I had oatmeal for breakfast with Hazel, Nevaeh, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/05/05?\", \"Hazel, Nevaeh, Claire\"], [\"what did I eat for breakfast on 2010/05/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e614\", \"logical_representation\": [\"2010/05/05\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/05/05?\", \"34 minutes\"], [\"what did I read on 2010/05/05?\", \"news\"], [\"Did I read on 2010/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/06\": {\"breakfast\": {\"eid\": \"e615\", \"logical_representation\": [\"2010/05/06\", \"breakfast\", \"cereals\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/05/06?\", \"Andrew, Kayden\"], [\"what did I eat for breakfast on 2010/05/06\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e616\", \"logical_representation\": [\"2010/05/06\", \"dinner\", \"steak\", \"Kayden, Carter\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e617\", \"logical_representation\": [\"2010/05/06\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I watched a movie for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/06?\", \"25 minutes\"], [\"what did I watch on tv on 2010/05/06?\", \"a movie\"], [\"Did I watch tv on 2010/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/07\": {\"breakfast\": {\"eid\": \"e618\", \"logical_representation\": [\"2010/05/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Claire, Eva, Olivia, Piper, Kinsley, Rylee, Avery\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Nevaeh, Claire, Eva, Olivia, Piper, Kinsley, Rylee, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/05/07?\", \"Nevaeh, Claire, Eva, Olivia, Piper, Kinsley, Rylee, Avery\"], [\"what did I eat for breakfast on 2010/05/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e619\", \"logical_representation\": [\"2010/05/07\", \"dinner\", \"a burger\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e620\", \"logical_representation\": [\"2010/05/07\", \"Piper, Claire, Lydia, Rylee\", \"in the morning\", \"21 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Lydia, Rylee for 21 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Lydia, Rylee in the morning on 2010/05/07?\", \"21 minutes\"], [\"who did I talk to on 2010/05/07?\", \"Piper, Claire, Lydia, Rylee\"], [\"Did I talk to Piper, Claire, Lydia, Rylee on 2010/05/07?\", \"yes\"], [\"Did I talk to anyone on 2010/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e621\", \"logical_representation\": [\"2010/05/07\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I watched a documentary for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/07?\", \"39 minutes\"], [\"what did I watch on tv on 2010/05/07?\", \"a documentary\"], [\"Did I watch tv on 2010/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/08\": {\"lunch\": {\"eid\": \"e622\", \"logical_representation\": [\"2010/05/08\", \"lunch\", \"indian food\", \"Jackson\"], \"text_template_based\": \"I had indian food for lunch with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/05/08?\", \"Jackson\"], [\"what did I eat for lunch on 2010/05/08\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2010/05/12\": {\"breakfast\": {\"eid\": \"e635\", \"logical_representation\": [\"2010/05/12\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/05/12?\", \"Emily\"], [\"what did I eat for breakfast on 2010/05/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e636\", \"logical_representation\": [\"2010/05/12\", \"lunch\", \"steak\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e637\", \"logical_representation\": [\"2010/05/12\", \"Eva, Piper\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Eva, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper during lunch hours on 2010/05/12?\", \"20 minutes\"], [\"who did I talk to on 2010/05/12?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2010/05/12?\", \"yes\"], [\"Did I talk to anyone on 2010/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e638\", \"logical_representation\": [\"2010/05/12\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/05/12?\", \"21 minutes\"], [\"what did I read on 2010/05/12?\", \"social media\"], [\"Did I read on 2010/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/15\": {\"lunch\": {\"eid\": \"e647\", \"logical_representation\": [\"2010/05/15\", \"lunch\", \"chinese food\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Andrew, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/05/15?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2010/05/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e648\", \"logical_representation\": [\"2010/05/15\", \"dinner\", \"fish and chips\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e649\", \"logical_representation\": [\"2010/05/15\", \"Piper, Layla\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Piper, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla during lunch hours on 2010/05/15?\", \"28 minutes\"], [\"who did I talk to on 2010/05/15?\", \"Piper, Layla\"], [\"Did I talk to Piper, Layla on 2010/05/15?\", \"yes\"], [\"Did I talk to anyone on 2010/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e650\", \"logical_representation\": [\"2010/05/15\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/05/15?\", \"33 minutes\"], [\"what did I read on 2010/05/15?\", \"news\"], [\"Did I read on 2010/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/16\": {\"breakfast\": {\"eid\": \"e651\", \"logical_representation\": [\"2010/05/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/05/16?\", \"Carter\"], [\"what did I eat for breakfast on 2010/05/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e652\", \"logical_representation\": [\"2010/05/16\", \"dinner\", \"steak\", \"Eva, Piper, Piper, Hazel, Nora, Nevaeh, Rylee, Lydia, Avery\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e653\", \"logical_representation\": [\"2010/05/16\", \"Rylee, Lydia\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Rylee, Lydia for 19 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia in the early afternoon on 2010/05/16?\", \"19 minutes\"], [\"who did I talk to on 2010/05/16?\", \"Rylee, Lydia\"], [\"Did I talk to Rylee, Lydia on 2010/05/16?\", \"yes\"], [\"Did I talk to anyone on 2010/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e654\", \"logical_representation\": [\"2010/05/16\", \"Piper, Nevaeh\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Piper, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh in the early afternoon on 2010/05/16?\", \"46 minutes\"], [\"who did I talk to on 2010/05/16?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2010/05/16?\", \"yes\"], [\"Did I talk to anyone on 2010/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e655\", \"logical_representation\": [\"2010/05/16\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/05/16?\", \"43 minutes\"], [\"what did I read on 2010/05/16?\", \"news\"], [\"Did I read on 2010/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/17\": {\"breakfast\": {\"eid\": \"e656\", \"logical_representation\": [\"2010/05/17\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/05/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e657\", \"logical_representation\": [\"2010/05/17\", \"lunch\", \"steak\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had steak for lunch with Jackson, Benjamin, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/05/17?\", \"Jackson, Benjamin, Avery, Willow\"], [\"what did I eat for lunch on 2010/05/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e658\", \"logical_representation\": [\"2010/05/17\", \"news\", \"25 minutes\"], \"text_template_based\": \"I watched news for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/17?\", \"25 minutes\"], [\"what did I watch on tv on 2010/05/17?\", \"news\"], [\"Did I watch tv on 2010/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/18\": {\"dinner\": {\"eid\": \"e659\", \"logical_representation\": [\"2010/05/18\", \"dinner\", \"fish and chips\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had dinner with Jackson, Avery, Benjamin. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/05/18?\", \"Jackson, Avery, Benjamin\"], [\"what did I eat for dinner on 2010/05/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e660\", \"logical_representation\": [\"2010/05/18\", \"Avery, Lydia, Nevaeh, Nora\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Avery, Lydia, Nevaeh, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Nevaeh, Nora in the early afternoon on 2010/05/18?\", \"12 minutes\"], [\"who did I talk to on 2010/05/18?\", \"Avery, Lydia, Nevaeh, Nora\"], [\"Did I talk to Avery, Lydia, Nevaeh, Nora on 2010/05/18?\", \"yes\"], [\"Did I talk to anyone on 2010/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e661\", \"logical_representation\": [\"2010/05/18\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/05/18?\", \"35 minutes\"], [\"what did I read on 2010/05/18?\", \"a book\"], [\"Did I read on 2010/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/19\": {\"chat0\": {\"eid\": \"e662\", \"logical_representation\": [\"2010/05/19\", \"Layla, Piper\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Layla, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper in the early afternoon on 2010/05/19?\", \"37 minutes\"], [\"who did I talk to on 2010/05/19?\", \"Layla, Piper\"], [\"Did I talk to Layla, Piper on 2010/05/19?\", \"yes\"], [\"Did I talk to anyone on 2010/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/20\": {\"dinner\": {\"eid\": \"e663\", \"logical_representation\": [\"2010/05/20\", \"dinner\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e664\", \"logical_representation\": [\"2010/05/20\", \"Nora, Kinsley, Rylee, Olivia\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Nora, Kinsley, Rylee, Olivia for 29 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Rylee, Olivia in the early afternoon on 2010/05/20?\", \"29 minutes\"], [\"who did I talk to on 2010/05/20?\", \"Nora, Kinsley, Rylee, Olivia\"], [\"Did I talk to Nora, Kinsley, Rylee, Olivia on 2010/05/20?\", \"yes\"], [\"Did I talk to anyone on 2010/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e665\", \"logical_representation\": [\"2010/05/20\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/05/20?\", \"50 minutes\"], [\"what did I read on 2010/05/20?\", \"news\"], [\"Did I read on 2010/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/22\": {\"exercise\": {\"eid\": \"e668\", \"logical_representation\": [\"2010/05/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/05/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e669\", \"logical_representation\": [\"2010/05/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/05/22?\", \"Carter\"], [\"what did I eat for breakfast on 2010/05/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e670\", \"logical_representation\": [\"2010/05/22\", \"lunch\", \"indian food\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Carter, Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/05/22?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for lunch on 2010/05/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e671\", \"logical_representation\": [\"2010/05/22\", \"dinner\", \"indian food\", \"Olivia, Nora\"], \"text_template_based\": \"I had indian food for dinner with Olivia, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/05/22?\", \"Olivia, Nora\"], [\"what did I eat for dinner on 2010/05/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e672\", \"logical_representation\": [\"2010/05/22\", \"Claire, Piper, Nevaeh, Olivia\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Claire, Piper, Nevaeh, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Nevaeh, Olivia in the late afternoon on 2010/05/22?\", \"24 minutes\"], [\"who did I talk to on 2010/05/22?\", \"Claire, Piper, Nevaeh, Olivia\"], [\"Did I talk to Claire, Piper, Nevaeh, Olivia on 2010/05/22?\", \"yes\"], [\"Did I talk to anyone on 2010/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e673\", \"logical_representation\": [\"2010/05/22\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/05/22?\", \"22 minutes\"], [\"what did I read on 2010/05/22?\", \"a book\"], [\"Did I read on 2010/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e674\", \"logical_representation\": [\"2010/05/22\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/22?\", \"26 minutes\"], [\"what did I watch on tv on 2010/05/22?\", \"news\"], [\"Did I watch tv on 2010/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/24\": {\"exercise\": {\"eid\": \"e680\", \"logical_representation\": [\"2010/05/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/05/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e681\", \"logical_representation\": [\"2010/05/24\", \"lunch\", \"sushi\", \"Hazel, Eva, Nora, Rylee\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e682\", \"logical_representation\": [\"2010/05/24\", \"dinner\", \"steak\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had steak for dinner with Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/05/24?\", \"Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2010/05/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e683\", \"logical_representation\": [\"2010/05/24\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/05/24?\", \"13 minutes\"], [\"what did I read on 2010/05/24?\", \"social media\"], [\"Did I read on 2010/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/25\": {\"exercise\": {\"eid\": \"e684\", \"logical_representation\": [\"2010/05/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/05/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e685\", \"logical_representation\": [\"2010/05/25\", \"breakfast\", \"peanut-butter-jam\", \"Claire, Lydia, Layla, Hazel, Nora, Piper, Olivia, Avery, Piper, Nevaeh\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/05/25\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e686\", \"logical_representation\": [\"2010/05/25\", \"lunch\", \"pasta\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e687\", \"logical_representation\": [\"2010/05/25\", \"Piper, Olivia\", \"in the morning\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Piper, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the morning on 2010/05/25?\", \"18 minutes\"], [\"who did I talk to on 2010/05/25?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2010/05/25?\", \"yes\"], [\"Did I talk to anyone on 2010/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e688\", \"logical_representation\": [\"2010/05/25\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/05/25?\", \"18 minutes\"], [\"what did I read on 2010/05/25?\", \"a book\"], [\"Did I read on 2010/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e689\", \"logical_representation\": [\"2010/05/25\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I watched a tv series for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/25?\", \"5 minutes\"], [\"what did I watch on tv on 2010/05/25?\", \"a tv series\"], [\"Did I watch tv on 2010/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/26\": {\"watch tv\": {\"eid\": \"e690\", \"logical_representation\": [\"2010/05/26\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/26?\", \"20 minutes\"], [\"what did I watch on tv on 2010/05/26?\", \"a documentary\"], [\"Did I watch tv on 2010/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/27\": {\"lunch\": {\"eid\": \"e691\", \"logical_representation\": [\"2010/05/27\", \"lunch\", \"fish and chips\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e692\", \"logical_representation\": [\"2010/05/27\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/05/27?\", \"26 minutes\"], [\"what did I read on 2010/05/27?\", \"social media\"], [\"Did I read on 2010/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e693\", \"logical_representation\": [\"2010/05/27\", \"a tv series\", \"36 minutes\"], \"text_template_based\": \"I watched a tv series for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/27?\", \"36 minutes\"], [\"what did I watch on tv on 2010/05/27?\", \"a tv series\"], [\"Did I watch tv on 2010/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/28\": {\"exercise\": {\"eid\": \"e694\", \"logical_representation\": [\"2010/05/28\", \"running\"], \"text_template_based\": \"I did running on 2010/05/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e695\", \"logical_representation\": [\"2010/05/28\", \"lunch\", \"chinese food\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had chinese food for lunch with Benjamin, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/05/28?\", \"Benjamin, Willow, Jackson\"], [\"what did I eat for lunch on 2010/05/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e696\", \"logical_representation\": [\"2010/05/28\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I watched a tv series for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/28?\", \"33 minutes\"], [\"what did I watch on tv on 2010/05/28?\", \"a tv series\"], [\"Did I watch tv on 2010/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/29\": {\"exercise\": {\"eid\": \"e697\", \"logical_representation\": [\"2010/05/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/05/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e698\", \"logical_representation\": [\"2010/05/29\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/05/29?\", \"46 minutes\"], [\"what did I read on 2010/05/29?\", \"a book\"], [\"Did I read on 2010/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e699\", \"logical_representation\": [\"2010/05/29\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/29?\", \"22 minutes\"], [\"what did I watch on tv on 2010/05/29?\", \"news\"], [\"Did I watch tv on 2010/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/30\": {\"breakfast\": {\"eid\": \"e700\", \"logical_representation\": [\"2010/05/30\", \"breakfast\", \"oatmeal\", \"Avery, Lydia, Nevaeh, Claire, Piper, Kinsley, Rylee, Olivia\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/05/30\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e701\", \"logical_representation\": [\"2010/05/30\", \"lunch\", \"steak\", \"Hazel, Piper, Rylee, Olivia, Kinsley, Avery, Piper, Layla, Eva, Claire, Nora, Nevaeh, Lydia\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e702\", \"logical_representation\": [\"2010/05/30\", \"dinner\", \"tacos\", \"Rylee, Piper, Lydia, Eva\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/30\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e703\", \"logical_representation\": [\"2010/05/30\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/05/30?\", \"16 minutes\"], [\"what did I read on 2010/05/30?\", \"news\"], [\"Did I read on 2010/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e704\", \"logical_representation\": [\"2010/05/30\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I watched a movie for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/30?\", \"50 minutes\"], [\"what did I watch on tv on 2010/05/30?\", \"a movie\"], [\"Did I watch tv on 2010/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/31\": {\"exercise\": {\"eid\": \"e705\", \"logical_representation\": [\"2010/05/31\", \"biking\"], \"text_template_based\": \"I did biking on 2010/05/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/31?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2010/06/02\": {\"exercise\": {\"eid\": \"e707\", \"logical_representation\": [\"2010/06/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/06/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e708\", \"logical_representation\": [\"2010/06/02\", \"lunch\", \"tacos\", \"Claire, Lydia, Avery, Piper, Eva, Kinsley, Nevaeh, Olivia, Rylee\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/06/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e709\", \"logical_representation\": [\"2010/06/02\", \"Kinsley, Nora, Piper\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Kinsley, Nora, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Piper in the early afternoon on 2010/06/02?\", \"10 minutes\"], [\"who did I talk to on 2010/06/02?\", \"Kinsley, Nora, Piper\"], [\"Did I talk to Kinsley, Nora, Piper on 2010/06/02?\", \"yes\"], [\"Did I talk to anyone on 2010/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e710\", \"logical_representation\": [\"2010/06/02\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/02?\", \"50 minutes\"], [\"what did I watch on tv on 2010/06/02?\", \"news\"], [\"Did I watch tv on 2010/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/03\": {\"exercise\": {\"eid\": \"e711\", \"logical_representation\": [\"2010/06/03\", \"biking\"], \"text_template_based\": \"I did biking on 2010/06/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e712\", \"logical_representation\": [\"2010/06/03\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e713\", \"logical_representation\": [\"2010/06/03\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/06/03?\", \"53 minutes\"], [\"what did I read on 2010/06/03?\", \"social media\"], [\"Did I read on 2010/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/04\": {\"lunch\": {\"eid\": \"e714\", \"logical_representation\": [\"2010/06/04\", \"lunch\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/06/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e715\", \"logical_representation\": [\"2010/06/04\", \"dinner\", \"chinese food\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had chinese food for dinner with Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/06/04?\", \"Carter, Emily, Kayden\"], [\"what did I eat for dinner on 2010/06/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e716\", \"logical_representation\": [\"2010/06/04\", \"Layla, Nora, Piper\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Layla, Nora, Piper for 12 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Piper in the early afternoon on 2010/06/04?\", \"12 minutes\"], [\"who did I talk to on 2010/06/04?\", \"Layla, Nora, Piper\"], [\"Did I talk to Layla, Nora, Piper on 2010/06/04?\", \"yes\"], [\"Did I talk to anyone on 2010/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/07\": {\"breakfast\": {\"eid\": \"e726\", \"logical_representation\": [\"2010/06/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e727\", \"logical_representation\": [\"2010/06/07\", \"Kinsley\", \"during lunch hours\", \"52 minutes\"], \"text_template_based\": \"I talked to Kinsley for 52 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2010/06/07?\", \"52 minutes\"], [\"who did I talk to on 2010/06/07?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2010/06/07?\", \"yes\"], [\"Did I talk to anyone on 2010/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e728\", \"logical_representation\": [\"2010/06/07\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/07?\", \"18 minutes\"], [\"what did I watch on tv on 2010/06/07?\", \"a movie\"], [\"Did I watch tv on 2010/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/09\": {\"exercise\": {\"eid\": \"e734\", \"logical_representation\": [\"2010/06/09\", \"biking\"], \"text_template_based\": \"I did biking on 2010/06/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e735\", \"logical_representation\": [\"2010/06/09\", \"breakfast\", \"oatmeal\", \"Nevaeh, Kinsley, Lydia, Nora, Hazel, Avery, Claire, Rylee, Layla\"], \"text_template_based\": \"I had breakfast with Nevaeh, Kinsley, Lydia, Nora, Hazel, Avery, Claire, Rylee, Layla. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/06/09?\", \"Nevaeh, Kinsley, Lydia, Nora, Hazel, Avery, Claire, Rylee, Layla\"], [\"what did I eat for breakfast on 2010/06/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e736\", \"logical_representation\": [\"2010/06/09\", \"lunch\", \"fish and chips\", \"Kayden, Carter\"], \"text_template_based\": \"I had fish and chips for lunch with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/06/09?\", \"Kayden, Carter\"], [\"what did I eat for lunch on 2010/06/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e737\", \"logical_representation\": [\"2010/06/09\", \"Layla, Nevaeh\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Layla, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh in the morning on 2010/06/09?\", \"29 minutes\"], [\"who did I talk to on 2010/06/09?\", \"Layla, Nevaeh\"], [\"Did I talk to Layla, Nevaeh on 2010/06/09?\", \"yes\"], [\"Did I talk to anyone on 2010/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e738\", \"logical_representation\": [\"2010/06/09\", \"Nevaeh, Piper, Lydia, Olivia\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Lydia, Olivia for 5 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Lydia, Olivia late in the evening on 2010/06/09?\", \"5 minutes\"], [\"who did I talk to on 2010/06/09?\", \"Nevaeh, Piper, Lydia, Olivia\"], [\"Did I talk to Nevaeh, Piper, Lydia, Olivia on 2010/06/09?\", \"yes\"], [\"Did I talk to anyone on 2010/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e739\", \"logical_representation\": [\"2010/06/09\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I watched a documentary for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/09?\", \"20 minutes\"], [\"what did I watch on tv on 2010/06/09?\", \"a documentary\"], [\"Did I watch tv on 2010/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/10\": {\"lunch\": {\"eid\": \"e740\", \"logical_representation\": [\"2010/06/10\", \"lunch\", \"indian food\", \"Nevaeh, Claire, Avery, Lydia, Rylee, Kinsley, Piper, Layla, Nora, Olivia, Hazel, Eva, Piper\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/06/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e741\", \"logical_representation\": [\"2010/06/10\", \"Eva\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2010/06/10?\", \"8 minutes\"], [\"who did I talk to on 2010/06/10?\", \"Eva\"], [\"Did I talk to Eva on 2010/06/10?\", \"yes\"], [\"Did I talk to anyone on 2010/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e742\", \"logical_representation\": [\"2010/06/10\", \"social media\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/06/10?\", \"15 minutes\"], [\"what did I read on 2010/06/10?\", \"social media\"], [\"Did I read on 2010/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/11\": {\"chat0\": {\"eid\": \"e743\", \"logical_representation\": [\"2010/06/11\", \"Claire, Olivia, Kinsley\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia, Kinsley for 7 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Kinsley in the morning on 2010/06/11?\", \"7 minutes\"], [\"who did I talk to on 2010/06/11?\", \"Claire, Olivia, Kinsley\"], [\"Did I talk to Claire, Olivia, Kinsley on 2010/06/11?\", \"yes\"], [\"Did I talk to anyone on 2010/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e744\", \"logical_representation\": [\"2010/06/11\", \"Kinsley, Nevaeh, Olivia, Piper\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Kinsley, Nevaeh, Olivia, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Olivia, Piper late in the evening on 2010/06/11?\", \"46 minutes\"], [\"who did I talk to on 2010/06/11?\", \"Kinsley, Nevaeh, Olivia, Piper\"], [\"Did I talk to Kinsley, Nevaeh, Olivia, Piper on 2010/06/11?\", \"yes\"], [\"Did I talk to anyone on 2010/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e745\", \"logical_representation\": [\"2010/06/11\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I watched a documentary for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/11?\", \"39 minutes\"], [\"what did I watch on tv on 2010/06/11?\", \"a documentary\"], [\"Did I watch tv on 2010/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/12\": {\"lunch\": {\"eid\": \"e746\", \"logical_representation\": [\"2010/06/12\", \"lunch\", \"pasta\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/06/12?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2010/06/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e747\", \"logical_representation\": [\"2010/06/12\", \"dinner\", \"chinese food\", \"Layla, Piper, Kinsley, Avery\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/06/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e748\", \"logical_representation\": [\"2010/06/12\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/06/12?\", \"20 minutes\"], [\"what did I read on 2010/06/12?\", \"a book\"], [\"Did I read on 2010/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e749\", \"logical_representation\": [\"2010/06/12\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/12?\", \"30 minutes\"], [\"what did I watch on tv on 2010/06/12?\", \"news\"], [\"Did I watch tv on 2010/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/13\": {\"lunch\": {\"eid\": \"e750\", \"logical_representation\": [\"2010/06/13\", \"lunch\", \"a burger\", \"Nora\"], \"text_template_based\": \"I had a burger for lunch with Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/06/13?\", \"Nora\"], [\"what did I eat for lunch on 2010/06/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e751\", \"logical_representation\": [\"2010/06/13\", \"Piper, Nevaeh\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Piper, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh in the morning on 2010/06/13?\", \"19 minutes\"], [\"who did I talk to on 2010/06/13?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2010/06/13?\", \"yes\"], [\"Did I talk to anyone on 2010/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e752\", \"logical_representation\": [\"2010/06/13\", \"Nevaeh, Claire\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Claire for 21 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire during lunch hours on 2010/06/13?\", \"21 minutes\"], [\"who did I talk to on 2010/06/13?\", \"Nevaeh, Claire\"], [\"Did I talk to Nevaeh, Claire on 2010/06/13?\", \"yes\"], [\"Did I talk to anyone on 2010/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e753\", \"logical_representation\": [\"2010/06/13\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/13?\", \"50 minutes\"], [\"what did I watch on tv on 2010/06/13?\", \"a movie\"], [\"Did I watch tv on 2010/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/15\": {\"exercise\": {\"eid\": \"e755\", \"logical_representation\": [\"2010/06/15\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/06/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/15?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e756\", \"logical_representation\": [\"2010/06/15\", \"breakfast\", \"toast and cheese\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Avery, Benjamin, Willow. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/06/15?\", \"Jackson, Avery, Benjamin, Willow\"], [\"what did I eat for breakfast on 2010/06/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e757\", \"logical_representation\": [\"2010/06/15\", \"lunch\", \"fish and chips\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had fish and chips for lunch with Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/06/15?\", \"Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2010/06/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e758\", \"logical_representation\": [\"2010/06/15\", \"dinner\", \"indian food\", \"Willow\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/06/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e759\", \"logical_representation\": [\"2010/06/15\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/06/15?\", \"48 minutes\"], [\"what did I read on 2010/06/15?\", \"a book\"], [\"Did I read on 2010/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e760\", \"logical_representation\": [\"2010/06/15\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/15?\", \"6 minutes\"], [\"what did I watch on tv on 2010/06/15?\", \"news\"], [\"Did I watch tv on 2010/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/16\": {\"lunch\": {\"eid\": \"e761\", \"logical_representation\": [\"2010/06/16\", \"lunch\", \"tacos\", \"Andrew, Emily\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/06/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e762\", \"logical_representation\": [\"2010/06/16\", \"dinner\", \"steak\", \"Nevaeh, Lydia, Piper, Claire, Layla, Rylee\"], \"text_template_based\": \"I had steak for dinner with Nevaeh, Lydia, Piper, Claire, Layla, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/06/16?\", \"Nevaeh, Lydia, Piper, Claire, Layla, Rylee\"], [\"what did I eat for dinner on 2010/06/16\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/06/18\": {\"lunch\": {\"eid\": \"e767\", \"logical_representation\": [\"2010/06/18\", \"lunch\", \"tacos\", \"Kayden, Andrew\"], \"text_template_based\": \"I had tacos for lunch with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/06/18?\", \"Kayden, Andrew\"], [\"what did I eat for lunch on 2010/06/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e768\", \"logical_representation\": [\"2010/06/18\", \"dinner\", \"fish and chips\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had fish and chips for dinner with Avery, Jackson, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/06/18?\", \"Avery, Jackson, Willow, Benjamin\"], [\"what did I eat for dinner on 2010/06/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e769\", \"logical_representation\": [\"2010/06/18\", \"Piper, Eva, Rylee\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Piper, Eva, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Rylee in the late afternoon on 2010/06/18?\", \"14 minutes\"], [\"who did I talk to on 2010/06/18?\", \"Piper, Eva, Rylee\"], [\"Did I talk to Piper, Eva, Rylee on 2010/06/18?\", \"yes\"], [\"Did I talk to anyone on 2010/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e770\", \"logical_representation\": [\"2010/06/18\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/06/18?\", \"5 minutes\"], [\"what did I read on 2010/06/18?\", \"news\"], [\"Did I read on 2010/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/19\": {\"exercise\": {\"eid\": \"e771\", \"logical_representation\": [\"2010/06/19\", \"biking\"], \"text_template_based\": \"I did biking on 2010/06/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e772\", \"logical_representation\": [\"2010/06/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e773\", \"logical_representation\": [\"2010/06/19\", \"lunch\", \"pasta\", \"Emily, Carter\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/06/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e774\", \"logical_representation\": [\"2010/06/19\", \"dinner\", \"fish and chips\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/06/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e775\", \"logical_representation\": [\"2010/06/19\", \"Rylee\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I talked to Rylee for 13 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2010/06/19?\", \"13 minutes\"], [\"who did I talk to on 2010/06/19?\", \"Rylee\"], [\"Did I talk to Rylee on 2010/06/19?\", \"yes\"], [\"Did I talk to anyone on 2010/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e776\", \"logical_representation\": [\"2010/06/19\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/06/19?\", \"48 minutes\"], [\"what did I read on 2010/06/19?\", \"a book\"], [\"Did I read on 2010/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/20\": {\"exercise\": {\"eid\": \"e777\", \"logical_representation\": [\"2010/06/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/06/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e778\", \"logical_representation\": [\"2010/06/20\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/06/20?\", \"Emily\"], [\"what did I eat for lunch on 2010/06/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e779\", \"logical_representation\": [\"2010/06/20\", \"a movie\", \"42 minutes\"], \"text_template_based\": \"I watched a movie for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/20?\", \"42 minutes\"], [\"what did I watch on tv on 2010/06/20?\", \"a movie\"], [\"Did I watch tv on 2010/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/21\": {\"breakfast\": {\"eid\": \"e780\", \"logical_representation\": [\"2010/06/21\", \"breakfast\", \"oatmeal\", \"Layla, Eva, Piper, Kinsley, Claire, Piper, Avery, Nora, Olivia, Nevaeh\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/21\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e781\", \"logical_representation\": [\"2010/06/21\", \"lunch\", \"indian food\", \"Olivia, Nora, Piper\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/06/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e782\", \"logical_representation\": [\"2010/06/21\", \"Hazel\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the morning on 2010/06/21?\", \"13 minutes\"], [\"who did I talk to on 2010/06/21?\", \"Hazel\"], [\"Did I talk to Hazel on 2010/06/21?\", \"yes\"], [\"Did I talk to anyone on 2010/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e783\", \"logical_representation\": [\"2010/06/21\", \"a tv series\", \"16 minutes\"], \"text_template_based\": \"I watched a tv series for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/21?\", \"16 minutes\"], [\"what did I watch on tv on 2010/06/21?\", \"a tv series\"], [\"Did I watch tv on 2010/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/22\": {\"exercise\": {\"eid\": \"e784\", \"logical_representation\": [\"2010/06/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/06/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e785\", \"logical_representation\": [\"2010/06/22\", \"breakfast\", \"peanut-butter-jam\", \"Nevaeh, Avery, Piper, Rylee, Nora, Kinsley\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Nevaeh, Avery, Piper, Rylee, Nora, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/06/22?\", \"Nevaeh, Avery, Piper, Rylee, Nora, Kinsley\"], [\"what did I eat for breakfast on 2010/06/22\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e786\", \"logical_representation\": [\"2010/06/22\", \"lunch\", \"steak\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/06/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e787\", \"logical_representation\": [\"2010/06/22\", \"dinner\", \"pasta\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had pasta for dinner with Benjamin, Avery, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/06/22?\", \"Benjamin, Avery, Willow, Jackson\"], [\"what did I eat for dinner on 2010/06/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e788\", \"logical_representation\": [\"2010/06/22\", \"Avery\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I talked to Avery for 55 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2010/06/22?\", \"55 minutes\"], [\"who did I talk to on 2010/06/22?\", \"Avery\"], [\"Did I talk to Avery on 2010/06/22?\", \"yes\"], [\"Did I talk to anyone on 2010/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e789\", \"logical_representation\": [\"2010/06/22\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/06/22?\", \"42 minutes\"], [\"what did I read on 2010/06/22?\", \"social media\"], [\"Did I read on 2010/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/23\": {\"breakfast\": {\"eid\": \"e790\", \"logical_representation\": [\"2010/06/23\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Kayden. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/06/23?\", \"Carter, Andrew, Kayden\"], [\"what did I eat for breakfast on 2010/06/23\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e791\", \"logical_representation\": [\"2010/06/23\", \"dinner\", \"tacos\", \"Hazel, Nora, Piper, Claire, Avery, Olivia, Nevaeh, Lydia, Layla, Rylee, Eva\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/06/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e792\", \"logical_representation\": [\"2010/06/23\", \"Eva, Layla, Piper, Avery\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Eva, Layla, Piper, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Piper, Avery in the morning on 2010/06/23?\", \"29 minutes\"], [\"who did I talk to on 2010/06/23?\", \"Eva, Layla, Piper, Avery\"], [\"Did I talk to Eva, Layla, Piper, Avery on 2010/06/23?\", \"yes\"], [\"Did I talk to anyone on 2010/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e793\", \"logical_representation\": [\"2010/06/23\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/06/23?\", \"35 minutes\"], [\"what did I read on 2010/06/23?\", \"news\"], [\"Did I read on 2010/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/26\": {\"exercise\": {\"eid\": \"e798\", \"logical_representation\": [\"2010/06/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/06/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e799\", \"logical_representation\": [\"2010/06/26\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/06/26?\", \"Carter\"], [\"what did I eat for breakfast on 2010/06/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e800\", \"logical_representation\": [\"2010/06/26\", \"lunch\", \"pasta\", \"Hazel, Nevaeh, Lydia, Kinsley, Piper, Claire, Piper, Olivia, Avery, Eva, Rylee, Layla\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/06/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e801\", \"logical_representation\": [\"2010/06/26\", \"dinner\", \"sandwich\", \"Rylee, Kinsley, Nevaeh, Avery, Layla\"], \"text_template_based\": \"I had dinner with Rylee, Kinsley, Nevaeh, Avery, Layla. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/06/26?\", \"Rylee, Kinsley, Nevaeh, Avery, Layla\"], [\"what did I eat for dinner on 2010/06/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e802\", \"logical_representation\": [\"2010/06/26\", \"Olivia, Lydia, Piper\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Olivia, Lydia, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia, Piper in the early evening on 2010/06/26?\", \"14 minutes\"], [\"who did I talk to on 2010/06/26?\", \"Olivia, Lydia, Piper\"], [\"Did I talk to Olivia, Lydia, Piper on 2010/06/26?\", \"yes\"], [\"Did I talk to anyone on 2010/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e803\", \"logical_representation\": [\"2010/06/26\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/06/26?\", \"32 minutes\"], [\"what did I read on 2010/06/26?\", \"social media\"], [\"Did I read on 2010/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/27\": {\"exercise\": {\"eid\": \"e804\", \"logical_representation\": [\"2010/06/27\", \"biking\"], \"text_template_based\": \"I did biking on 2010/06/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/27?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e805\", \"logical_representation\": [\"2010/06/27\", \"lunch\", \"pasta\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had pasta for lunch with Kayden, Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/06/27?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2010/06/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e806\", \"logical_representation\": [\"2010/06/27\", \"Lydia, Piper, Nevaeh\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Nevaeh for 12 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Nevaeh in the early afternoon on 2010/06/27?\", \"12 minutes\"], [\"who did I talk to on 2010/06/27?\", \"Lydia, Piper, Nevaeh\"], [\"Did I talk to Lydia, Piper, Nevaeh on 2010/06/27?\", \"yes\"], [\"Did I talk to anyone on 2010/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e807\", \"logical_representation\": [\"2010/06/27\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/06/27?\", \"17 minutes\"], [\"what did I read on 2010/06/27?\", \"news\"], [\"Did I read on 2010/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/28\": {\"breakfast\": {\"eid\": \"e808\", \"logical_representation\": [\"2010/06/28\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e809\", \"logical_representation\": [\"2010/06/28\", \"Nevaeh\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2010/06/28?\", \"49 minutes\"], [\"who did I talk to on 2010/06/28?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2010/06/28?\", \"yes\"], [\"Did I talk to anyone on 2010/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e810\", \"logical_representation\": [\"2010/06/28\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/28?\", \"8 minutes\"], [\"what did I watch on tv on 2010/06/28?\", \"news\"], [\"Did I watch tv on 2010/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/29\": {\"breakfast\": {\"eid\": \"e811\", \"logical_representation\": [\"2010/06/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Rylee, Avery, Nora, Layla, Piper, Claire, Hazel, Olivia, Piper, Lydia\"], \"text_template_based\": \"I had breakfast with Eva, Rylee, Avery, Nora, Layla, Piper, Claire, Hazel, Olivia, Piper, Lydia. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/06/29?\", \"Eva, Rylee, Avery, Nora, Layla, Piper, Claire, Hazel, Olivia, Piper, Lydia\"], [\"what did I eat for breakfast on 2010/06/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e812\", \"logical_representation\": [\"2010/06/29\", \"Piper, Piper, Layla, Kinsley\", \"late in the evening\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Piper, Piper, Layla, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Layla, Kinsley late in the evening on 2010/06/29?\", \"16 minutes\"], [\"who did I talk to on 2010/06/29?\", \"Piper, Piper, Layla, Kinsley\"], [\"Did I talk to Piper, Piper, Layla, Kinsley on 2010/06/29?\", \"yes\"], [\"Did I talk to anyone on 2010/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/01\": {\"exercise\": {\"eid\": \"e817\", \"logical_representation\": [\"2010/07/01\", \"biking\"], \"text_template_based\": \"I did biking on 2010/07/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/01?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e818\", \"logical_representation\": [\"2010/07/01\", \"Layla, Kinsley\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Layla, Kinsley for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley in the morning on 2010/07/01?\", \"43 minutes\"], [\"who did I talk to on 2010/07/01?\", \"Layla, Kinsley\"], [\"Did I talk to Layla, Kinsley on 2010/07/01?\", \"yes\"], [\"Did I talk to anyone on 2010/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/03\": {\"exercise\": {\"eid\": \"e821\", \"logical_representation\": [\"2010/07/03\", \"running\"], \"text_template_based\": \"I did running on 2010/07/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e822\", \"logical_representation\": [\"2010/07/03\", \"lunch\", \"sushi\", \"Eva, Nevaeh, Rylee, Olivia, Piper, Kinsley\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/07/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e823\", \"logical_representation\": [\"2010/07/03\", \"Olivia, Avery, Nevaeh, Piper\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I talked to Olivia, Avery, Nevaeh, Piper for 54 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Nevaeh, Piper in the morning on 2010/07/03?\", \"54 minutes\"], [\"who did I talk to on 2010/07/03?\", \"Olivia, Avery, Nevaeh, Piper\"], [\"Did I talk to Olivia, Avery, Nevaeh, Piper on 2010/07/03?\", \"yes\"], [\"Did I talk to anyone on 2010/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e824\", \"logical_representation\": [\"2010/07/03\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/07/03?\", \"32 minutes\"], [\"what did I read on 2010/07/03?\", \"social media\"], [\"Did I read on 2010/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/04\": {\"watch tv\": {\"eid\": \"e825\", \"logical_representation\": [\"2010/07/04\", \"a tv series\", \"53 minutes\"], \"text_template_based\": \"I watched a tv series for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/04?\", \"53 minutes\"], [\"what did I watch on tv on 2010/07/04?\", \"a tv series\"], [\"Did I watch tv on 2010/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/05\": {\"exercise\": {\"eid\": \"e826\", \"logical_representation\": [\"2010/07/05\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/07/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/05?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e827\", \"logical_representation\": [\"2010/07/05\", \"lunch\", \"indian food\", \"Avery\"], \"text_template_based\": \"I had lunch with Avery. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/07/05?\", \"Avery\"], [\"what did I eat for lunch on 2010/07/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e828\", \"logical_representation\": [\"2010/07/05\", \"Piper\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Piper for 11 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2010/07/05?\", \"11 minutes\"], [\"who did I talk to on 2010/07/05?\", \"Piper\"], [\"Did I talk to Piper on 2010/07/05?\", \"yes\"], [\"Did I talk to anyone on 2010/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e829\", \"logical_representation\": [\"2010/07/05\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/07/05?\", \"50 minutes\"], [\"what did I read on 2010/07/05?\", \"social media\"], [\"Did I read on 2010/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e830\", \"logical_representation\": [\"2010/07/05\", \"news\", \"32 minutes\"], \"text_template_based\": \"I watched news for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/05?\", \"32 minutes\"], [\"what did I watch on tv on 2010/07/05?\", \"news\"], [\"Did I watch tv on 2010/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/06\": {\"exercise\": {\"eid\": \"e831\", \"logical_representation\": [\"2010/07/06\", \"biking\"], \"text_template_based\": \"I did biking on 2010/07/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/06?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e832\", \"logical_representation\": [\"2010/07/06\", \"breakfast\", \"toast and cheese\", \"Rylee, Piper, Lydia, Avery, Kinsley, Hazel, Nevaeh, Nora, Piper, Layla\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e833\", \"logical_representation\": [\"2010/07/06\", \"lunch\", \"pasta\", \"Willow, Jackson\"], \"text_template_based\": \"I had lunch with Willow, Jackson. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/07/06?\", \"Willow, Jackson\"], [\"what did I eat for lunch on 2010/07/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e834\", \"logical_representation\": [\"2010/07/06\", \"Layla, Avery, Piper\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Layla, Avery, Piper for 16 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Piper in the early evening on 2010/07/06?\", \"16 minutes\"], [\"who did I talk to on 2010/07/06?\", \"Layla, Avery, Piper\"], [\"Did I talk to Layla, Avery, Piper on 2010/07/06?\", \"yes\"], [\"Did I talk to anyone on 2010/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/07\": {\"chat0\": {\"eid\": \"e835\", \"logical_representation\": [\"2010/07/07\", \"Hazel, Rylee, Claire\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Hazel, Rylee, Claire for 42 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee, Claire in the early evening on 2010/07/07?\", \"42 minutes\"], [\"who did I talk to on 2010/07/07?\", \"Hazel, Rylee, Claire\"], [\"Did I talk to Hazel, Rylee, Claire on 2010/07/07?\", \"yes\"], [\"Did I talk to anyone on 2010/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/08\": {\"exercise\": {\"eid\": \"e836\", \"logical_representation\": [\"2010/07/08\", \"biking\"], \"text_template_based\": \"I did biking on 2010/07/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/08?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e837\", \"logical_representation\": [\"2010/07/08\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Eva, Piper, Hazel, Nevaeh, Avery, Lydia, Piper, Olivia, Claire, Rylee, Nora, Kinsley\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Layla, Eva, Piper, Hazel, Nevaeh, Avery, Lydia, Piper, Olivia, Claire, Rylee, Nora, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/07/08?\", \"Layla, Eva, Piper, Hazel, Nevaeh, Avery, Lydia, Piper, Olivia, Claire, Rylee, Nora, Kinsley\"], [\"what did I eat for breakfast on 2010/07/08\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e838\", \"logical_representation\": [\"2010/07/08\", \"lunch\", \"tacos\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had tacos for lunch with Avery, Jackson, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/07/08?\", \"Avery, Jackson, Willow, Benjamin\"], [\"what did I eat for lunch on 2010/07/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e839\", \"logical_representation\": [\"2010/07/08\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/07/08?\", \"46 minutes\"], [\"what did I read on 2010/07/08?\", \"a book\"], [\"Did I read on 2010/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e840\", \"logical_representation\": [\"2010/07/08\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I watched a movie for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/08?\", \"5 minutes\"], [\"what did I watch on tv on 2010/07/08?\", \"a movie\"], [\"Did I watch tv on 2010/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/09\": {\"exercise\": {\"eid\": \"e841\", \"logical_representation\": [\"2010/07/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/07/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e842\", \"logical_representation\": [\"2010/07/09\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/09\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e843\", \"logical_representation\": [\"2010/07/09\", \"a book\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/07/09?\", \"21 minutes\"], [\"what did I read on 2010/07/09?\", \"a book\"], [\"Did I read on 2010/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e844\", \"logical_representation\": [\"2010/07/09\", \"a movie\", \"15 minutes\"], \"text_template_based\": \"I watched a movie for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/09?\", \"15 minutes\"], [\"what did I watch on tv on 2010/07/09?\", \"a movie\"], [\"Did I watch tv on 2010/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/10\": {\"exercise\": {\"eid\": \"e845\", \"logical_representation\": [\"2010/07/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e846\", \"logical_representation\": [\"2010/07/10\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e847\", \"logical_representation\": [\"2010/07/10\", \"Nevaeh, Claire, Rylee, Hazel\", \"in the morning\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Nevaeh, Claire, Rylee, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire, Rylee, Hazel in the morning on 2010/07/10?\", \"12 minutes\"], [\"who did I talk to on 2010/07/10?\", \"Nevaeh, Claire, Rylee, Hazel\"], [\"Did I talk to Nevaeh, Claire, Rylee, Hazel on 2010/07/10?\", \"yes\"], [\"Did I talk to anyone on 2010/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e848\", \"logical_representation\": [\"2010/07/10\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/10?\", \"10 minutes\"], [\"what did I watch on tv on 2010/07/10?\", \"news\"], [\"Did I watch tv on 2010/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/11\": {\"exercise\": {\"eid\": \"e849\", \"logical_representation\": [\"2010/07/11\", \"biking\"], \"text_template_based\": \"I did biking on 2010/07/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e850\", \"logical_representation\": [\"2010/07/11\", \"lunch\", \"indian food\", \"Kayden, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/07/11?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2010/07/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e851\", \"logical_representation\": [\"2010/07/11\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/07/11?\", \"26 minutes\"], [\"what did I read on 2010/07/11?\", \"social media\"], [\"Did I read on 2010/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/12\": {\"breakfast\": {\"eid\": \"e852\", \"logical_representation\": [\"2010/07/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Avery\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e853\", \"logical_representation\": [\"2010/07/12\", \"lunch\", \"pasta\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/07/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e854\", \"logical_representation\": [\"2010/07/12\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/07/12?\", \"23 minutes\"], [\"what did I read on 2010/07/12?\", \"social media\"], [\"Did I read on 2010/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e855\", \"logical_representation\": [\"2010/07/12\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/12?\", \"50 minutes\"], [\"what did I watch on tv on 2010/07/12?\", \"news\"], [\"Did I watch tv on 2010/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/13\": {\"lunch\": {\"eid\": \"e856\", \"logical_representation\": [\"2010/07/13\", \"lunch\", \"fish and chips\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I had lunch with Willow, Benjamin, Avery. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/07/13?\", \"Willow, Benjamin, Avery\"], [\"what did I eat for lunch on 2010/07/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e857\", \"logical_representation\": [\"2010/07/13\", \"news\", \"15 minutes\"], \"text_template_based\": \"I watched news for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/13?\", \"15 minutes\"], [\"what did I watch on tv on 2010/07/13?\", \"news\"], [\"Did I watch tv on 2010/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/14\": {\"lunch\": {\"eid\": \"e858\", \"logical_representation\": [\"2010/07/14\", \"lunch\", \"sushi\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/07/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e859\", \"logical_representation\": [\"2010/07/14\", \"Avery, Lydia, Piper\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia, Piper for 22 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Piper in the morning on 2010/07/14?\", \"22 minutes\"], [\"who did I talk to on 2010/07/14?\", \"Avery, Lydia, Piper\"], [\"Did I talk to Avery, Lydia, Piper on 2010/07/14?\", \"yes\"], [\"Did I talk to anyone on 2010/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e860\", \"logical_representation\": [\"2010/07/14\", \"Eva, Kinsley, Nora\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley, Nora for 22 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Nora in the early afternoon on 2010/07/14?\", \"22 minutes\"], [\"who did I talk to on 2010/07/14?\", \"Eva, Kinsley, Nora\"], [\"Did I talk to Eva, Kinsley, Nora on 2010/07/14?\", \"yes\"], [\"Did I talk to anyone on 2010/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e861\", \"logical_representation\": [\"2010/07/14\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/07/14?\", \"45 minutes\"], [\"what did I read on 2010/07/14?\", \"social media\"], [\"Did I read on 2010/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e862\", \"logical_representation\": [\"2010/07/14\", \"a tv series\", \"45 minutes\"], \"text_template_based\": \"I watched a tv series for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/14?\", \"45 minutes\"], [\"what did I watch on tv on 2010/07/14?\", \"a tv series\"], [\"Did I watch tv on 2010/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/15\": {\"exercise\": {\"eid\": \"e863\", \"logical_representation\": [\"2010/07/15\", \"running\"], \"text_template_based\": \"I did running on 2010/07/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e864\", \"logical_representation\": [\"2010/07/15\", \"lunch\", \"chinese food\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/07/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e865\", \"logical_representation\": [\"2010/07/15\", \"dinner\", \"fish and chips\", \"Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/07/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e866\", \"logical_representation\": [\"2010/07/15\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/07/15?\", \"16 minutes\"], [\"what did I read on 2010/07/15?\", \"news\"], [\"Did I read on 2010/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e867\", \"logical_representation\": [\"2010/07/15\", \"news\", \"26 minutes\"], \"text_template_based\": \"I watched news for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/15?\", \"26 minutes\"], [\"what did I watch on tv on 2010/07/15?\", \"news\"], [\"Did I watch tv on 2010/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/18\": {\"breakfast\": {\"eid\": \"e876\", \"logical_representation\": [\"2010/07/18\", \"breakfast\", \"pancakes\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e877\", \"logical_representation\": [\"2010/07/18\", \"lunch\", \"a burger\", \"Eva, Hazel, Claire, Layla, Nevaeh, Rylee\"], \"text_template_based\": \"I had lunch with Eva, Hazel, Claire, Layla, Nevaeh, Rylee. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/07/18?\", \"Eva, Hazel, Claire, Layla, Nevaeh, Rylee\"], [\"what did I eat for lunch on 2010/07/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e878\", \"logical_representation\": [\"2010/07/18\", \"dinner\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/07/18\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2010/07/19\": {\"breakfast\": {\"eid\": \"e879\", \"logical_representation\": [\"2010/07/19\", \"breakfast\", \"oatmeal\", \"Rylee, Piper, Olivia, Piper, Kinsley, Claire, Eva, Hazel, Layla, Nevaeh, Avery, Lydia\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/19\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e880\", \"logical_representation\": [\"2010/07/19\", \"lunch\", \"sushi\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had sushi for lunch with Jackson, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/07/19?\", \"Jackson, Willow, Avery\"], [\"what did I eat for lunch on 2010/07/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e881\", \"logical_representation\": [\"2010/07/19\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had fish and chips for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/07/19?\", \"Kayden\"], [\"what did I eat for dinner on 2010/07/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e882\", \"logical_representation\": [\"2010/07/19\", \"Nevaeh, Piper, Nora\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Nora for 27 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Nora during lunch hours on 2010/07/19?\", \"27 minutes\"], [\"who did I talk to on 2010/07/19?\", \"Nevaeh, Piper, Nora\"], [\"Did I talk to Nevaeh, Piper, Nora on 2010/07/19?\", \"yes\"], [\"Did I talk to anyone on 2010/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e883\", \"logical_representation\": [\"2010/07/19\", \"Nevaeh, Hazel, Kinsley, Eva\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Hazel, Kinsley, Eva for 44 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Kinsley, Eva in the morning on 2010/07/19?\", \"44 minutes\"], [\"who did I talk to on 2010/07/19?\", \"Nevaeh, Hazel, Kinsley, Eva\"], [\"Did I talk to Nevaeh, Hazel, Kinsley, Eva on 2010/07/19?\", \"yes\"], [\"Did I talk to anyone on 2010/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e884\", \"logical_representation\": [\"2010/07/19\", \"a tv series\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/19?\", \"14 minutes\"], [\"what did I watch on tv on 2010/07/19?\", \"a tv series\"], [\"Did I watch tv on 2010/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/21\": {\"breakfast\": {\"eid\": \"e890\", \"logical_representation\": [\"2010/07/21\", \"breakfast\", \"pancakes\", \"Eva, Piper, Claire, Hazel, Nora, Rylee, Nevaeh, Lydia, Layla, Piper, Olivia, Kinsley, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e891\", \"logical_representation\": [\"2010/07/21\", \"dinner\", \"pasta\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/07/21\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2010/07/23\": {\"dinner\": {\"eid\": \"e893\", \"logical_representation\": [\"2010/07/23\", \"dinner\", \"pasta\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had pasta for dinner with Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/07/23?\", \"Carter, Emily, Kayden\"], [\"what did I eat for dinner on 2010/07/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e894\", \"logical_representation\": [\"2010/07/23\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/07/23?\", \"15 minutes\"], [\"what did I read on 2010/07/23?\", \"news\"], [\"Did I read on 2010/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e895\", \"logical_representation\": [\"2010/07/23\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I watched a documentary for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/23?\", \"44 minutes\"], [\"what did I watch on tv on 2010/07/23?\", \"a documentary\"], [\"Did I watch tv on 2010/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/24\": {\"chat0\": {\"eid\": \"e896\", \"logical_representation\": [\"2010/07/24\", \"Claire, Piper\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I talked to Claire, Piper for 5 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper in the morning on 2010/07/24?\", \"5 minutes\"], [\"who did I talk to on 2010/07/24?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2010/07/24?\", \"yes\"], [\"Did I talk to anyone on 2010/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e897\", \"logical_representation\": [\"2010/07/24\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/07/24?\", \"16 minutes\"], [\"what did I read on 2010/07/24?\", \"news\"], [\"Did I read on 2010/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e898\", \"logical_representation\": [\"2010/07/24\", \"a tv series\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/24?\", \"51 minutes\"], [\"what did I watch on tv on 2010/07/24?\", \"a tv series\"], [\"Did I watch tv on 2010/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/25\": {\"exercise\": {\"eid\": \"e899\", \"logical_representation\": [\"2010/07/25\", \"running\"], \"text_template_based\": \"I did running on 2010/07/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e900\", \"logical_representation\": [\"2010/07/25\", \"lunch\", \"sushi\", \"Willow\"], \"text_template_based\": \"I had sushi for lunch with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/07/25?\", \"Willow\"], [\"what did I eat for lunch on 2010/07/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e901\", \"logical_representation\": [\"2010/07/25\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/07/25?\", \"36 minutes\"], [\"what did I read on 2010/07/25?\", \"news\"], [\"Did I read on 2010/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e902\", \"logical_representation\": [\"2010/07/25\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I watched a tv series for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/25?\", \"37 minutes\"], [\"what did I watch on tv on 2010/07/25?\", \"a tv series\"], [\"Did I watch tv on 2010/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/26\": {\"breakfast\": {\"eid\": \"e903\", \"logical_representation\": [\"2010/07/26\", \"breakfast\", \"cereals\", \"Willow\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e904\", \"logical_representation\": [\"2010/07/26\", \"Nevaeh, Claire, Lydia, Rylee\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Claire, Lydia, Rylee for 20 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire, Lydia, Rylee in the late afternoon on 2010/07/26?\", \"20 minutes\"], [\"who did I talk to on 2010/07/26?\", \"Nevaeh, Claire, Lydia, Rylee\"], [\"Did I talk to Nevaeh, Claire, Lydia, Rylee on 2010/07/26?\", \"yes\"], [\"Did I talk to anyone on 2010/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e905\", \"logical_representation\": [\"2010/07/26\", \"Avery, Nora, Nevaeh, Piper\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Avery, Nora, Nevaeh, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora, Nevaeh, Piper late in the evening on 2010/07/26?\", \"9 minutes\"], [\"who did I talk to on 2010/07/26?\", \"Avery, Nora, Nevaeh, Piper\"], [\"Did I talk to Avery, Nora, Nevaeh, Piper on 2010/07/26?\", \"yes\"], [\"Did I talk to anyone on 2010/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/28\": {\"exercise\": {\"eid\": \"e910\", \"logical_representation\": [\"2010/07/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/07/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e911\", \"logical_representation\": [\"2010/07/28\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Carter, Andrew. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/07/28?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2010/07/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e912\", \"logical_representation\": [\"2010/07/28\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/07/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e913\", \"logical_representation\": [\"2010/07/28\", \"Kinsley\", \"during lunch hours\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2010/07/28?\", \"30 minutes\"], [\"who did I talk to on 2010/07/28?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2010/07/28?\", \"yes\"], [\"Did I talk to anyone on 2010/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e914\", \"logical_representation\": [\"2010/07/28\", \"a documentary\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/28?\", \"41 minutes\"], [\"what did I watch on tv on 2010/07/28?\", \"a documentary\"], [\"Did I watch tv on 2010/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/29\": {\"exercise\": {\"eid\": \"e915\", \"logical_representation\": [\"2010/07/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/07/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e916\", \"logical_representation\": [\"2010/07/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Rylee, Piper, Hazel, Claire, Piper, Layla, Nora, Eva, Nevaeh, Kinsley, Olivia, Lydia\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e917\", \"logical_representation\": [\"2010/07/29\", \"lunch\", \"steak\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/07/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e918\", \"logical_representation\": [\"2010/07/29\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I had indian food for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/07/29?\", \"Kayden\"], [\"what did I eat for dinner on 2010/07/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e919\", \"logical_representation\": [\"2010/07/29\", \"Piper, Avery, Piper, Nora\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Piper, Nora for 51 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Piper, Nora in the morning on 2010/07/29?\", \"51 minutes\"], [\"who did I talk to on 2010/07/29?\", \"Piper, Avery, Piper, Nora\"], [\"Did I talk to Piper, Avery, Piper, Nora on 2010/07/29?\", \"yes\"], [\"Did I talk to anyone on 2010/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e920\", \"logical_representation\": [\"2010/07/29\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/07/29?\", \"9 minutes\"], [\"what did I read on 2010/07/29?\", \"a book\"], [\"Did I read on 2010/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e921\", \"logical_representation\": [\"2010/07/29\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/29?\", \"25 minutes\"], [\"what did I watch on tv on 2010/07/29?\", \"a documentary\"], [\"Did I watch tv on 2010/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/30\": {\"exercise\": {\"eid\": \"e922\", \"logical_representation\": [\"2010/07/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/07/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e923\", \"logical_representation\": [\"2010/07/30\", \"lunch\", \"chinese food\", \"Piper, Nevaeh, Layla\"], \"text_template_based\": \"I had lunch with Piper, Nevaeh, Layla. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/07/30?\", \"Piper, Nevaeh, Layla\"], [\"what did I eat for lunch on 2010/07/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e924\", \"logical_representation\": [\"2010/07/30\", \"Nevaeh\", \"late in the evening\", \"7 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 7 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2010/07/30?\", \"7 minutes\"], [\"who did I talk to on 2010/07/30?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2010/07/30?\", \"yes\"], [\"Did I talk to anyone on 2010/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e925\", \"logical_representation\": [\"2010/07/30\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/07/30?\", \"39 minutes\"], [\"what did I read on 2010/07/30?\", \"a book\"], [\"Did I read on 2010/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/31\": {\"exercise\": {\"eid\": \"e926\", \"logical_representation\": [\"2010/07/31\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/07/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/31?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e927\", \"logical_representation\": [\"2010/07/31\", \"breakfast\", \"toast and cheese\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/31\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e928\", \"logical_representation\": [\"2010/07/31\", \"Kinsley, Piper\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Kinsley, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper during lunch hours on 2010/07/31?\", \"8 minutes\"], [\"who did I talk to on 2010/07/31?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2010/07/31?\", \"yes\"], [\"Did I talk to anyone on 2010/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e929\", \"logical_representation\": [\"2010/07/31\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/07/31?\", \"16 minutes\"], [\"what did I read on 2010/07/31?\", \"news\"], [\"Did I read on 2010/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/01\": {\"exercise\": {\"eid\": \"e930\", \"logical_representation\": [\"2010/08/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e931\", \"logical_representation\": [\"2010/08/01\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/08/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e932\", \"logical_representation\": [\"2010/08/01\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/08/01?\", \"48 minutes\"], [\"what did I read on 2010/08/01?\", \"a book\"], [\"Did I read on 2010/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/02\": {\"exercise\": {\"eid\": \"e933\", \"logical_representation\": [\"2010/08/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/08/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e934\", \"logical_representation\": [\"2010/08/02\", \"breakfast\", \"cereals\", \"Claire, Eva, Nevaeh, Layla, Piper, Olivia, Piper, Rylee, Kinsley\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/08/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e935\", \"logical_representation\": [\"2010/08/02\", \"lunch\", \"indian food\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/08/02?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2010/08/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e936\", \"logical_representation\": [\"2010/08/02\", \"dinner\", \"sandwich\", \"Emily, Carter\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e937\", \"logical_representation\": [\"2010/08/02\", \"Piper\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Piper for 29 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2010/08/02?\", \"29 minutes\"], [\"who did I talk to on 2010/08/02?\", \"Piper\"], [\"Did I talk to Piper on 2010/08/02?\", \"yes\"], [\"Did I talk to anyone on 2010/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e938\", \"logical_representation\": [\"2010/08/02\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I watched a documentary for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/02?\", \"50 minutes\"], [\"what did I watch on tv on 2010/08/02?\", \"a documentary\"], [\"Did I watch tv on 2010/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/03\": {\"exercise\": {\"eid\": \"e939\", \"logical_representation\": [\"2010/08/03\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/08/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/03?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e940\", \"logical_representation\": [\"2010/08/03\", \"lunch\", \"steak\", \"Nevaeh, Nora, Hazel, Kinsley, Rylee, Lydia, Olivia, Piper\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/08/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e941\", \"logical_representation\": [\"2010/08/03\", \"dinner\", \"sushi\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e942\", \"logical_representation\": [\"2010/08/03\", \"Eva\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Eva for 52 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2010/08/03?\", \"52 minutes\"], [\"who did I talk to on 2010/08/03?\", \"Eva\"], [\"Did I talk to Eva on 2010/08/03?\", \"yes\"], [\"Did I talk to anyone on 2010/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e943\", \"logical_representation\": [\"2010/08/03\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/08/03?\", \"18 minutes\"], [\"what did I read on 2010/08/03?\", \"news\"], [\"Did I read on 2010/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e944\", \"logical_representation\": [\"2010/08/03\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I watched a documentary for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/03?\", \"23 minutes\"], [\"what did I watch on tv on 2010/08/03?\", \"a documentary\"], [\"Did I watch tv on 2010/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/04\": {\"breakfast\": {\"eid\": \"e945\", \"logical_representation\": [\"2010/08/04\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/08/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e946\", \"logical_representation\": [\"2010/08/04\", \"dinner\", \"fish and chips\", \"Emily, Andrew\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e947\", \"logical_representation\": [\"2010/08/04\", \"Nora, Eva, Rylee\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Nora, Eva, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Rylee in the late afternoon on 2010/08/04?\", \"23 minutes\"], [\"who did I talk to on 2010/08/04?\", \"Nora, Eva, Rylee\"], [\"Did I talk to Nora, Eva, Rylee on 2010/08/04?\", \"yes\"], [\"Did I talk to anyone on 2010/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e948\", \"logical_representation\": [\"2010/08/04\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/08/04?\", \"7 minutes\"], [\"what did I read on 2010/08/04?\", \"a book\"], [\"Did I read on 2010/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/07\": {\"exercise\": {\"eid\": \"e957\", \"logical_representation\": [\"2010/08/07\", \"running\"], \"text_template_based\": \"I did running on 2010/08/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/07?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e958\", \"logical_representation\": [\"2010/08/07\", \"breakfast\", \"peanut-butter-jam\", \"Eva, Nevaeh, Piper, Olivia, Claire, Layla, Lydia\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/08/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e959\", \"logical_representation\": [\"2010/08/07\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had tacos for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/08/07?\", \"Andrew\"], [\"what did I eat for dinner on 2010/08/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e960\", \"logical_representation\": [\"2010/08/07\", \"Hazel, Kinsley, Piper, Avery\", \"during lunch hours\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Hazel, Kinsley, Piper, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley, Piper, Avery during lunch hours on 2010/08/07?\", \"50 minutes\"], [\"who did I talk to on 2010/08/07?\", \"Hazel, Kinsley, Piper, Avery\"], [\"Did I talk to Hazel, Kinsley, Piper, Avery on 2010/08/07?\", \"yes\"], [\"Did I talk to anyone on 2010/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e961\", \"logical_representation\": [\"2010/08/07\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/08/07?\", \"47 minutes\"], [\"what did I read on 2010/08/07?\", \"a book\"], [\"Did I read on 2010/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e962\", \"logical_representation\": [\"2010/08/07\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/07?\", \"13 minutes\"], [\"what did I watch on tv on 2010/08/07?\", \"a documentary\"], [\"Did I watch tv on 2010/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/08\": {\"exercise\": {\"eid\": \"e963\", \"logical_representation\": [\"2010/08/08\", \"running\"], \"text_template_based\": \"I did running on 2010/08/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e964\", \"logical_representation\": [\"2010/08/08\", \"dinner\", \"a burger\", \"Avery\"], \"text_template_based\": \"I had a burger for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/08/08?\", \"Avery\"], [\"what did I eat for dinner on 2010/08/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e965\", \"logical_representation\": [\"2010/08/08\", \"Lydia, Kinsley, Piper, Rylee\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley, Piper, Rylee for 23 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Piper, Rylee during lunch hours on 2010/08/08?\", \"23 minutes\"], [\"who did I talk to on 2010/08/08?\", \"Lydia, Kinsley, Piper, Rylee\"], [\"Did I talk to Lydia, Kinsley, Piper, Rylee on 2010/08/08?\", \"yes\"], [\"Did I talk to anyone on 2010/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e966\", \"logical_representation\": [\"2010/08/08\", \"Piper, Rylee, Piper, Lydia\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Piper, Rylee, Piper, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Piper, Lydia in the late afternoon on 2010/08/08?\", \"40 minutes\"], [\"who did I talk to on 2010/08/08?\", \"Piper, Rylee, Piper, Lydia\"], [\"Did I talk to Piper, Rylee, Piper, Lydia on 2010/08/08?\", \"yes\"], [\"Did I talk to anyone on 2010/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e967\", \"logical_representation\": [\"2010/08/08\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/08?\", \"53 minutes\"], [\"what did I watch on tv on 2010/08/08?\", \"a documentary\"], [\"Did I watch tv on 2010/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/09\": {\"exercise\": {\"eid\": \"e968\", \"logical_representation\": [\"2010/08/09\", \"running\"], \"text_template_based\": \"I did running on 2010/08/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/09?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e969\", \"logical_representation\": [\"2010/08/09\", \"dinner\", \"sandwich\", \"Avery\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e970\", \"logical_representation\": [\"2010/08/09\", \"Rylee, Lydia, Claire\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Rylee, Lydia, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Claire in the late afternoon on 2010/08/09?\", \"42 minutes\"], [\"who did I talk to on 2010/08/09?\", \"Rylee, Lydia, Claire\"], [\"Did I talk to Rylee, Lydia, Claire on 2010/08/09?\", \"yes\"], [\"Did I talk to anyone on 2010/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e971\", \"logical_representation\": [\"2010/08/09\", \"news\", \"24 minutes\"], \"text_template_based\": \"I watched news for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/09?\", \"24 minutes\"], [\"what did I watch on tv on 2010/08/09?\", \"news\"], [\"Did I watch tv on 2010/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/12\": {\"lunch\": {\"eid\": \"e978\", \"logical_representation\": [\"2010/08/12\", \"lunch\", \"sushi\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had lunch with Jackson, Benjamin. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/08/12?\", \"Jackson, Benjamin\"], [\"what did I eat for lunch on 2010/08/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e979\", \"logical_representation\": [\"2010/08/12\", \"Eva, Piper, Olivia\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I talked to Eva, Piper, Olivia for 21 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Olivia during lunch hours on 2010/08/12?\", \"21 minutes\"], [\"who did I talk to on 2010/08/12?\", \"Eva, Piper, Olivia\"], [\"Did I talk to Eva, Piper, Olivia on 2010/08/12?\", \"yes\"], [\"Did I talk to anyone on 2010/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e980\", \"logical_representation\": [\"2010/08/12\", \"Nora, Claire\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Nora, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire in the late afternoon on 2010/08/12?\", \"26 minutes\"], [\"who did I talk to on 2010/08/12?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2010/08/12?\", \"yes\"], [\"Did I talk to anyone on 2010/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e981\", \"logical_representation\": [\"2010/08/12\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/12?\", \"49 minutes\"], [\"what did I watch on tv on 2010/08/12?\", \"news\"], [\"Did I watch tv on 2010/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/15\": {\"dinner\": {\"eid\": \"e986\", \"logical_representation\": [\"2010/08/15\", \"dinner\", \"a burger\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/15\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2010/08/16\": {\"exercise\": {\"eid\": \"e987\", \"logical_representation\": [\"2010/08/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/08/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e988\", \"logical_representation\": [\"2010/08/16\", \"Avery, Claire\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Avery, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire in the early evening on 2010/08/16?\", \"38 minutes\"], [\"who did I talk to on 2010/08/16?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2010/08/16?\", \"yes\"], [\"Did I talk to anyone on 2010/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/18\": {\"exercise\": {\"eid\": \"e993\", \"logical_representation\": [\"2010/08/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/08/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e994\", \"logical_representation\": [\"2010/08/18\", \"lunch\", \"tacos\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/08/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e995\", \"logical_representation\": [\"2010/08/18\", \"Layla\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2010/08/18?\", \"44 minutes\"], [\"who did I talk to on 2010/08/18?\", \"Layla\"], [\"Did I talk to Layla on 2010/08/18?\", \"yes\"], [\"Did I talk to anyone on 2010/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e996\", \"logical_representation\": [\"2010/08/18\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/08/18?\", \"22 minutes\"], [\"what did I read on 2010/08/18?\", \"social media\"], [\"Did I read on 2010/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e997\", \"logical_representation\": [\"2010/08/18\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/18?\", \"52 minutes\"], [\"what did I watch on tv on 2010/08/18?\", \"news\"], [\"Did I watch tv on 2010/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/19\": {\"exercise\": {\"eid\": \"e998\", \"logical_representation\": [\"2010/08/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/08/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e999\", \"logical_representation\": [\"2010/08/19\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/08/19\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2010/08/22\": {\"exercise\": {\"eid\": \"e1008\", \"logical_representation\": [\"2010/08/22\", \"biking\"], \"text_template_based\": \"I did biking on 2010/08/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1009\", \"logical_representation\": [\"2010/08/22\", \"breakfast\", \"cereals\", \"Kayden, Emily\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/08/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1010\", \"logical_representation\": [\"2010/08/22\", \"Nora\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I talked to Nora for 29 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2010/08/22?\", \"29 minutes\"], [\"who did I talk to on 2010/08/22?\", \"Nora\"], [\"Did I talk to Nora on 2010/08/22?\", \"yes\"], [\"Did I talk to anyone on 2010/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/23\": {\"exercise\": {\"eid\": \"e1011\", \"logical_representation\": [\"2010/08/23\", \"biking\"], \"text_template_based\": \"I did biking on 2010/08/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/23?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1012\", \"logical_representation\": [\"2010/08/23\", \"breakfast\", \"cereals\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/08/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1013\", \"logical_representation\": [\"2010/08/23\", \"dinner\", \"sushi\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Carter, Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/08/23?\", \"Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2010/08/23\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2010/08/24\": {\"lunch\": {\"eid\": \"e1014\", \"logical_representation\": [\"2010/08/24\", \"lunch\", \"pasta\", \"Avery\"], \"text_template_based\": \"I had pasta for lunch with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/08/24?\", \"Avery\"], [\"what did I eat for lunch on 2010/08/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1015\", \"logical_representation\": [\"2010/08/24\", \"dinner\", \"sandwich\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1016\", \"logical_representation\": [\"2010/08/24\", \"Kinsley, Olivia, Layla, Claire\", \"in the late afternoon\", \"21 minutes\"], \"text_template_based\": \"I talked to Kinsley, Olivia, Layla, Claire for 21 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Layla, Claire in the late afternoon on 2010/08/24?\", \"21 minutes\"], [\"who did I talk to on 2010/08/24?\", \"Kinsley, Olivia, Layla, Claire\"], [\"Did I talk to Kinsley, Olivia, Layla, Claire on 2010/08/24?\", \"yes\"], [\"Did I talk to anyone on 2010/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1017\", \"logical_representation\": [\"2010/08/24\", \"Eva, Hazel, Nora, Nevaeh\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel, Nora, Nevaeh for 32 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Nora, Nevaeh in the early afternoon on 2010/08/24?\", \"32 minutes\"], [\"who did I talk to on 2010/08/24?\", \"Eva, Hazel, Nora, Nevaeh\"], [\"Did I talk to Eva, Hazel, Nora, Nevaeh on 2010/08/24?\", \"yes\"], [\"Did I talk to anyone on 2010/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1018\", \"logical_representation\": [\"2010/08/24\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/08/24?\", \"20 minutes\"], [\"what did I read on 2010/08/24?\", \"a book\"], [\"Did I read on 2010/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/25\": {\"lunch\": {\"eid\": \"e1019\", \"logical_representation\": [\"2010/08/25\", \"lunch\", \"a burger\", \"Claire, Eva, Layla, Nora, Piper\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/08/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1020\", \"logical_representation\": [\"2010/08/25\", \"Kinsley, Hazel, Layla\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel, Layla for 17 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Layla during lunch hours on 2010/08/25?\", \"17 minutes\"], [\"who did I talk to on 2010/08/25?\", \"Kinsley, Hazel, Layla\"], [\"Did I talk to Kinsley, Hazel, Layla on 2010/08/25?\", \"yes\"], [\"Did I talk to anyone on 2010/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1021\", \"logical_representation\": [\"2010/08/25\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/08/25?\", \"46 minutes\"], [\"what did I read on 2010/08/25?\", \"a book\"], [\"Did I read on 2010/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/26\": {\"breakfast\": {\"eid\": \"e1022\", \"logical_representation\": [\"2010/08/26\", \"breakfast\", \"cereals\", \"Piper, Olivia, Lydia, Avery, Hazel, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/08/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1023\", \"logical_representation\": [\"2010/08/26\", \"lunch\", \"indian food\", \"Eva, Piper, Avery, Layla, Piper\"], \"text_template_based\": \"I had indian food for lunch with Eva, Piper, Avery, Layla, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/08/26?\", \"Eva, Piper, Avery, Layla, Piper\"], [\"what did I eat for lunch on 2010/08/26\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2010/08/28\": {\"breakfast\": {\"eid\": \"e1027\", \"logical_representation\": [\"2010/08/28\", \"breakfast\", \"toast and cheese\", \"Olivia, Rylee, Piper, Kinsley, Claire, Hazel, Avery, Nora, Layla\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/08/28\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1028\", \"logical_representation\": [\"2010/08/28\", \"lunch\", \"sushi\", \"Carter\"], \"text_template_based\": \"I had sushi for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/08/28?\", \"Carter\"], [\"what did I eat for lunch on 2010/08/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1029\", \"logical_representation\": [\"2010/08/28\", \"dinner\", \"a burger\", \"Avery, Piper, Claire, Rylee, Nora, Hazel, Kinsley, Nevaeh, Layla, Olivia, Piper\"], \"text_template_based\": \"I had dinner with Avery, Piper, Claire, Rylee, Nora, Hazel, Kinsley, Nevaeh, Layla, Olivia, Piper. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/08/28?\", \"Avery, Piper, Claire, Rylee, Nora, Hazel, Kinsley, Nevaeh, Layla, Olivia, Piper\"], [\"what did I eat for dinner on 2010/08/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1030\", \"logical_representation\": [\"2010/08/28\", \"Piper\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2010/08/28?\", \"30 minutes\"], [\"who did I talk to on 2010/08/28?\", \"Piper\"], [\"Did I talk to Piper on 2010/08/28?\", \"yes\"], [\"Did I talk to anyone on 2010/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/29\": {\"exercise\": {\"eid\": \"e1031\", \"logical_representation\": [\"2010/08/29\", \"running\"], \"text_template_based\": \"I did running on 2010/08/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/29?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1032\", \"logical_representation\": [\"2010/08/29\", \"lunch\", \"pasta\", \"Avery, Lydia, Kinsley\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/08/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1033\", \"logical_representation\": [\"2010/08/29\", \"dinner\", \"indian food\", \"Jackson\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/29\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2010/08/30\": {\"breakfast\": {\"eid\": \"e1034\", \"logical_representation\": [\"2010/08/30\", \"breakfast\", \"pancakes\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had breakfast with Benjamin, Avery, Willow, Jackson. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/08/30?\", \"Benjamin, Avery, Willow, Jackson\"], [\"what did I eat for breakfast on 2010/08/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1035\", \"logical_representation\": [\"2010/08/30\", \"dinner\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1036\", \"logical_representation\": [\"2010/08/30\", \"Nevaeh, Lydia, Olivia\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Nevaeh, Lydia, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Olivia in the late afternoon on 2010/08/30?\", \"33 minutes\"], [\"who did I talk to on 2010/08/30?\", \"Nevaeh, Lydia, Olivia\"], [\"Did I talk to Nevaeh, Lydia, Olivia on 2010/08/30?\", \"yes\"], [\"Did I talk to anyone on 2010/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/02\": {\"exercise\": {\"eid\": \"e1043\", \"logical_representation\": [\"2010/09/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/09/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1044\", \"logical_representation\": [\"2010/09/02\", \"breakfast\", \"cereals\", \"Willow\"], \"text_template_based\": \"I had breakfast with Willow. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/09/02?\", \"Willow\"], [\"what did I eat for breakfast on 2010/09/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1045\", \"logical_representation\": [\"2010/09/02\", \"dinner\", \"tacos\", \"Willow, Jackson\"], \"text_template_based\": \"I had dinner with Willow, Jackson. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/09/02?\", \"Willow, Jackson\"], [\"what did I eat for dinner on 2010/09/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1046\", \"logical_representation\": [\"2010/09/02\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I watched a documentary for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/02?\", \"40 minutes\"], [\"what did I watch on tv on 2010/09/02?\", \"a documentary\"], [\"Did I watch tv on 2010/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/03\": {\"exercise\": {\"eid\": \"e1047\", \"logical_representation\": [\"2010/09/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/09/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1048\", \"logical_representation\": [\"2010/09/03\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/09/03\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1049\", \"logical_representation\": [\"2010/09/03\", \"Avery, Hazel\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I talked to Avery, Hazel for 36 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel during lunch hours on 2010/09/03?\", \"36 minutes\"], [\"who did I talk to on 2010/09/03?\", \"Avery, Hazel\"], [\"Did I talk to Avery, Hazel on 2010/09/03?\", \"yes\"], [\"Did I talk to anyone on 2010/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1050\", \"logical_representation\": [\"2010/09/03\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/09/03?\", \"53 minutes\"], [\"what did I read on 2010/09/03?\", \"a book\"], [\"Did I read on 2010/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1051\", \"logical_representation\": [\"2010/09/03\", \"a documentary\", \"11 minutes\"], \"text_template_based\": \"I watched a documentary for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/03?\", \"11 minutes\"], [\"what did I watch on tv on 2010/09/03?\", \"a documentary\"], [\"Did I watch tv on 2010/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/04\": {\"exercise\": {\"eid\": \"e1052\", \"logical_representation\": [\"2010/09/04\", \"running\"], \"text_template_based\": \"I did running on 2010/09/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/04?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1053\", \"logical_representation\": [\"2010/09/04\", \"breakfast\", \"pancakes\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/09/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1054\", \"logical_representation\": [\"2010/09/04\", \"Layla, Olivia, Hazel, Eva\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I talked to Layla, Olivia, Hazel, Eva for 6 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia, Hazel, Eva in the morning on 2010/09/04?\", \"6 minutes\"], [\"who did I talk to on 2010/09/04?\", \"Layla, Olivia, Hazel, Eva\"], [\"Did I talk to Layla, Olivia, Hazel, Eva on 2010/09/04?\", \"yes\"], [\"Did I talk to anyone on 2010/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1055\", \"logical_representation\": [\"2010/09/04\", \"Nora, Avery, Kinsley\", \"during lunch hours\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Nora, Avery, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery, Kinsley during lunch hours on 2010/09/04?\", \"15 minutes\"], [\"who did I talk to on 2010/09/04?\", \"Nora, Avery, Kinsley\"], [\"Did I talk to Nora, Avery, Kinsley on 2010/09/04?\", \"yes\"], [\"Did I talk to anyone on 2010/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1056\", \"logical_representation\": [\"2010/09/04\", \"a tv series\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/04?\", \"14 minutes\"], [\"what did I watch on tv on 2010/09/04?\", \"a tv series\"], [\"Did I watch tv on 2010/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/05\": {\"exercise\": {\"eid\": \"e1057\", \"logical_representation\": [\"2010/09/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/09/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1058\", \"logical_representation\": [\"2010/09/05\", \"dinner\", \"fish and chips\", \"Emily, Carter\"], \"text_template_based\": \"I had fish and chips for dinner with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/09/05?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2010/09/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1059\", \"logical_representation\": [\"2010/09/05\", \"Layla, Piper, Nevaeh, Kinsley\", \"in the early evening\", \"44 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Nevaeh, Kinsley for 44 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Nevaeh, Kinsley in the early evening on 2010/09/05?\", \"44 minutes\"], [\"who did I talk to on 2010/09/05?\", \"Layla, Piper, Nevaeh, Kinsley\"], [\"Did I talk to Layla, Piper, Nevaeh, Kinsley on 2010/09/05?\", \"yes\"], [\"Did I talk to anyone on 2010/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1060\", \"logical_representation\": [\"2010/09/05\", \"Eva, Nevaeh, Piper, Claire\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Eva, Nevaeh, Piper, Claire for 14 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Piper, Claire in the early evening on 2010/09/05?\", \"14 minutes\"], [\"who did I talk to on 2010/09/05?\", \"Eva, Nevaeh, Piper, Claire\"], [\"Did I talk to Eva, Nevaeh, Piper, Claire on 2010/09/05?\", \"yes\"], [\"Did I talk to anyone on 2010/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1061\", \"logical_representation\": [\"2010/09/05\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I watched a movie for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/05?\", \"45 minutes\"], [\"what did I watch on tv on 2010/09/05?\", \"a movie\"], [\"Did I watch tv on 2010/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/06\": {\"exercise\": {\"eid\": \"e1062\", \"logical_representation\": [\"2010/09/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/09/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1063\", \"logical_representation\": [\"2010/09/06\", \"Rylee\", \"in the early evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2010/09/06?\", \"44 minutes\"], [\"who did I talk to on 2010/09/06?\", \"Rylee\"], [\"Did I talk to Rylee on 2010/09/06?\", \"yes\"], [\"Did I talk to anyone on 2010/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1064\", \"logical_representation\": [\"2010/09/06\", \"Lydia\", \"in the morning\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2010/09/06?\", \"50 minutes\"], [\"who did I talk to on 2010/09/06?\", \"Lydia\"], [\"Did I talk to Lydia on 2010/09/06?\", \"yes\"], [\"Did I talk to anyone on 2010/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1065\", \"logical_representation\": [\"2010/09/06\", \"news\", \"55 minutes\"], \"text_template_based\": \"I watched news for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/06?\", \"55 minutes\"], [\"what did I watch on tv on 2010/09/06?\", \"news\"], [\"Did I watch tv on 2010/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/07\": {\"lunch\": {\"eid\": \"e1066\", \"logical_representation\": [\"2010/09/07\", \"lunch\", \"fish and chips\", \"Eva, Avery, Piper, Claire, Nora, Hazel, Rylee, Layla, Olivia, Nevaeh, Piper, Kinsley\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/09/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1067\", \"logical_representation\": [\"2010/09/07\", \"dinner\", \"indian food\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Emily, Kayden, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/09/07?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2010/09/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1068\", \"logical_representation\": [\"2010/09/07\", \"Hazel\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2010/09/07?\", \"12 minutes\"], [\"who did I talk to on 2010/09/07?\", \"Hazel\"], [\"Did I talk to Hazel on 2010/09/07?\", \"yes\"], [\"Did I talk to anyone on 2010/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1069\", \"logical_representation\": [\"2010/09/07\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/09/07?\", \"13 minutes\"], [\"what did I read on 2010/09/07?\", \"social media\"], [\"Did I read on 2010/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/09\": {\"exercise\": {\"eid\": \"e1073\", \"logical_representation\": [\"2010/09/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/09/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1074\", \"logical_representation\": [\"2010/09/09\", \"lunch\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/09/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1075\", \"logical_representation\": [\"2010/09/09\", \"dinner\", \"steak\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/09/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1076\", \"logical_representation\": [\"2010/09/09\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/09/09?\", \"9 minutes\"], [\"what did I read on 2010/09/09?\", \"a book\"], [\"Did I read on 2010/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1077\", \"logical_representation\": [\"2010/09/09\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/09?\", \"41 minutes\"], [\"what did I watch on tv on 2010/09/09?\", \"news\"], [\"Did I watch tv on 2010/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/10\": {\"exercise\": {\"eid\": \"e1078\", \"logical_representation\": [\"2010/09/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/09/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1079\", \"logical_representation\": [\"2010/09/10\", \"Eva\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2010/09/10?\", \"21 minutes\"], [\"who did I talk to on 2010/09/10?\", \"Eva\"], [\"Did I talk to Eva on 2010/09/10?\", \"yes\"], [\"Did I talk to anyone on 2010/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1080\", \"logical_representation\": [\"2010/09/10\", \"Avery, Layla\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Avery, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla in the early afternoon on 2010/09/10?\", \"21 minutes\"], [\"who did I talk to on 2010/09/10?\", \"Avery, Layla\"], [\"Did I talk to Avery, Layla on 2010/09/10?\", \"yes\"], [\"Did I talk to anyone on 2010/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1081\", \"logical_representation\": [\"2010/09/10\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/09/10?\", \"25 minutes\"], [\"what did I read on 2010/09/10?\", \"a book\"], [\"Did I read on 2010/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1082\", \"logical_representation\": [\"2010/09/10\", \"a documentary\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/10?\", \"28 minutes\"], [\"what did I watch on tv on 2010/09/10?\", \"a documentary\"], [\"Did I watch tv on 2010/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/11\": {\"exercise\": {\"eid\": \"e1083\", \"logical_representation\": [\"2010/09/11\", \"running\"], \"text_template_based\": \"I did running on 2010/09/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1084\", \"logical_representation\": [\"2010/09/11\", \"breakfast\", \"oatmeal\", \"Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Carter. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/09/11?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2010/09/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1085\", \"logical_representation\": [\"2010/09/11\", \"lunch\", \"a burger\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/09/11?\", \"Carter\"], [\"what did I eat for lunch on 2010/09/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1086\", \"logical_representation\": [\"2010/09/11\", \"Piper, Eva\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Piper, Eva for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva in the early afternoon on 2010/09/11?\", \"7 minutes\"], [\"who did I talk to on 2010/09/11?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2010/09/11?\", \"yes\"], [\"Did I talk to anyone on 2010/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1087\", \"logical_representation\": [\"2010/09/11\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/09/11?\", \"33 minutes\"], [\"what did I read on 2010/09/11?\", \"social media\"], [\"Did I read on 2010/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/14\": {\"exercise\": {\"eid\": \"e1096\", \"logical_representation\": [\"2010/09/14\", \"running\"], \"text_template_based\": \"I did running on 2010/09/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1097\", \"logical_representation\": [\"2010/09/14\", \"Nevaeh\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the late afternoon on 2010/09/14?\", \"34 minutes\"], [\"who did I talk to on 2010/09/14?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2010/09/14?\", \"yes\"], [\"Did I talk to anyone on 2010/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1098\", \"logical_representation\": [\"2010/09/14\", \"Nora, Olivia, Piper, Eva\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia, Piper, Eva for 6 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Piper, Eva late in the evening on 2010/09/14?\", \"6 minutes\"], [\"who did I talk to on 2010/09/14?\", \"Nora, Olivia, Piper, Eva\"], [\"Did I talk to Nora, Olivia, Piper, Eva on 2010/09/14?\", \"yes\"], [\"Did I talk to anyone on 2010/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1099\", \"logical_representation\": [\"2010/09/14\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/09/14?\", \"15 minutes\"], [\"what did I read on 2010/09/14?\", \"news\"], [\"Did I read on 2010/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1100\", \"logical_representation\": [\"2010/09/14\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I watched a documentary for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/14?\", \"42 minutes\"], [\"what did I watch on tv on 2010/09/14?\", \"a documentary\"], [\"Did I watch tv on 2010/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/16\": {\"exercise\": {\"eid\": \"e1105\", \"logical_representation\": [\"2010/09/16\", \"biking\"], \"text_template_based\": \"I did biking on 2010/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1106\", \"logical_representation\": [\"2010/09/16\", \"lunch\", \"tacos\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/09/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1107\", \"logical_representation\": [\"2010/09/16\", \"Claire, Nora, Olivia\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Claire, Nora, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Olivia during lunch hours on 2010/09/16?\", \"37 minutes\"], [\"who did I talk to on 2010/09/16?\", \"Claire, Nora, Olivia\"], [\"Did I talk to Claire, Nora, Olivia on 2010/09/16?\", \"yes\"], [\"Did I talk to anyone on 2010/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1108\", \"logical_representation\": [\"2010/09/16\", \"Kinsley, Piper, Olivia, Eva\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Kinsley, Piper, Olivia, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Olivia, Eva in the late afternoon on 2010/09/16?\", \"48 minutes\"], [\"who did I talk to on 2010/09/16?\", \"Kinsley, Piper, Olivia, Eva\"], [\"Did I talk to Kinsley, Piper, Olivia, Eva on 2010/09/16?\", \"yes\"], [\"Did I talk to anyone on 2010/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1109\", \"logical_representation\": [\"2010/09/16\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/09/16?\", \"26 minutes\"], [\"what did I read on 2010/09/16?\", \"news\"], [\"Did I read on 2010/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1110\", \"logical_representation\": [\"2010/09/16\", \"a documentary\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/16?\", \"8 minutes\"], [\"what did I watch on tv on 2010/09/16?\", \"a documentary\"], [\"Did I watch tv on 2010/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/17\": {\"exercise\": {\"eid\": \"e1111\", \"logical_representation\": [\"2010/09/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/09/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1112\", \"logical_representation\": [\"2010/09/17\", \"breakfast\", \"oatmeal\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/09/17\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1113\", \"logical_representation\": [\"2010/09/17\", \"Eva\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the morning on 2010/09/17?\", \"37 minutes\"], [\"who did I talk to on 2010/09/17?\", \"Eva\"], [\"Did I talk to Eva on 2010/09/17?\", \"yes\"], [\"Did I talk to anyone on 2010/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/19\": {\"lunch\": {\"eid\": \"e1118\", \"logical_representation\": [\"2010/09/19\", \"lunch\", \"steak\", \"Benjamin\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/09/19\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1119\", \"logical_representation\": [\"2010/09/19\", \"dinner\", \"steak\", \"Benjamin\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/09/19\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1120\", \"logical_representation\": [\"2010/09/19\", \"Piper, Claire, Nora, Layla\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Nora, Layla for 48 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Nora, Layla in the early evening on 2010/09/19?\", \"48 minutes\"], [\"who did I talk to on 2010/09/19?\", \"Piper, Claire, Nora, Layla\"], [\"Did I talk to Piper, Claire, Nora, Layla on 2010/09/19?\", \"yes\"], [\"Did I talk to anyone on 2010/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1121\", \"logical_representation\": [\"2010/09/19\", \"Piper, Nevaeh, Eva, Claire\", \"late in the evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Eva, Claire for 27 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Eva, Claire late in the evening on 2010/09/19?\", \"27 minutes\"], [\"who did I talk to on 2010/09/19?\", \"Piper, Nevaeh, Eva, Claire\"], [\"Did I talk to Piper, Nevaeh, Eva, Claire on 2010/09/19?\", \"yes\"], [\"Did I talk to anyone on 2010/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1122\", \"logical_representation\": [\"2010/09/19\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/09/19?\", \"7 minutes\"], [\"what did I read on 2010/09/19?\", \"social media\"], [\"Did I read on 2010/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1123\", \"logical_representation\": [\"2010/09/19\", \"news\", \"28 minutes\"], \"text_template_based\": \"I watched news for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/19?\", \"28 minutes\"], [\"what did I watch on tv on 2010/09/19?\", \"news\"], [\"Did I watch tv on 2010/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/22\": {\"exercise\": {\"eid\": \"e1129\", \"logical_representation\": [\"2010/09/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/09/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1130\", \"logical_representation\": [\"2010/09/22\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/09/22\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1131\", \"logical_representation\": [\"2010/09/22\", \"dinner\", \"chinese food\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/09/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1132\", \"logical_representation\": [\"2010/09/22\", \"Layla, Rylee, Piper\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Layla, Rylee, Piper for 51 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Piper in the early afternoon on 2010/09/22?\", \"51 minutes\"], [\"who did I talk to on 2010/09/22?\", \"Layla, Rylee, Piper\"], [\"Did I talk to Layla, Rylee, Piper on 2010/09/22?\", \"yes\"], [\"Did I talk to anyone on 2010/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1133\", \"logical_representation\": [\"2010/09/22\", \"news\", \"13 minutes\"], \"text_template_based\": \"I watched news for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/22?\", \"13 minutes\"], [\"what did I watch on tv on 2010/09/22?\", \"news\"], [\"Did I watch tv on 2010/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/23\": {\"breakfast\": {\"eid\": \"e1134\", \"logical_representation\": [\"2010/09/23\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/09/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1135\", \"logical_representation\": [\"2010/09/23\", \"dinner\", \"a burger\", \"Piper, Rylee, Avery, Layla, Nora\"], \"text_template_based\": \"I had a burger for dinner with Piper, Rylee, Avery, Layla, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/09/23?\", \"Piper, Rylee, Avery, Layla, Nora\"], [\"what did I eat for dinner on 2010/09/23\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2010/09/24\": {\"exercise\": {\"eid\": \"e1136\", \"logical_representation\": [\"2010/09/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/09/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1137\", \"logical_representation\": [\"2010/09/24\", \"dinner\", \"pasta\", \"Jackson, Willow\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/09/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1138\", \"logical_representation\": [\"2010/09/24\", \"Piper, Rylee\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee for 27 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the early evening on 2010/09/24?\", \"27 minutes\"], [\"who did I talk to on 2010/09/24?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2010/09/24?\", \"yes\"], [\"Did I talk to anyone on 2010/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1139\", \"logical_representation\": [\"2010/09/24\", \"Piper, Rylee, Olivia\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Piper, Rylee, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Olivia during lunch hours on 2010/09/24?\", \"23 minutes\"], [\"who did I talk to on 2010/09/24?\", \"Piper, Rylee, Olivia\"], [\"Did I talk to Piper, Rylee, Olivia on 2010/09/24?\", \"yes\"], [\"Did I talk to anyone on 2010/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/26\": {\"exercise\": {\"eid\": \"e1144\", \"logical_representation\": [\"2010/09/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/09/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1145\", \"logical_representation\": [\"2010/09/26\", \"breakfast\", \"cereals\", \"Kayden, Carter\"], \"text_template_based\": \"I had cereals for breakfast with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/09/26?\", \"Kayden, Carter\"], [\"what did I eat for breakfast on 2010/09/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1146\", \"logical_representation\": [\"2010/09/26\", \"dinner\", \"sandwich\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had sandwich for dinner with Willow, Jackson, Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/09/26?\", \"Willow, Jackson, Benjamin, Avery\"], [\"what did I eat for dinner on 2010/09/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1147\", \"logical_representation\": [\"2010/09/26\", \"Lydia, Piper, Hazel, Eva\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Lydia, Piper, Hazel, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Hazel, Eva late in the evening on 2010/09/26?\", \"20 minutes\"], [\"who did I talk to on 2010/09/26?\", \"Lydia, Piper, Hazel, Eva\"], [\"Did I talk to Lydia, Piper, Hazel, Eva on 2010/09/26?\", \"yes\"], [\"Did I talk to anyone on 2010/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1148\", \"logical_representation\": [\"2010/09/26\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/09/26?\", \"43 minutes\"], [\"what did I read on 2010/09/26?\", \"social media\"], [\"Did I read on 2010/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/27\": {\"exercise\": {\"eid\": \"e1149\", \"logical_representation\": [\"2010/09/27\", \"running\"], \"text_template_based\": \"I did running on 2010/09/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1150\", \"logical_representation\": [\"2010/09/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Benjamin\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/09/27?\", \"Willow, Benjamin\"], [\"what did I eat for breakfast on 2010/09/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1151\", \"logical_representation\": [\"2010/09/27\", \"lunch\", \"chinese food\", \"Olivia, Piper, Lydia, Eva, Rylee\"], \"text_template_based\": \"I had lunch with Olivia, Piper, Lydia, Eva, Rylee. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/09/27?\", \"Olivia, Piper, Lydia, Eva, Rylee\"], [\"what did I eat for lunch on 2010/09/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1152\", \"logical_representation\": [\"2010/09/27\", \"a book\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/09/27?\", \"31 minutes\"], [\"what did I read on 2010/09/27?\", \"a book\"], [\"Did I read on 2010/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/29\": {\"exercise\": {\"eid\": \"e1157\", \"logical_representation\": [\"2010/09/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/09/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1158\", \"logical_representation\": [\"2010/09/29\", \"breakfast\", \"toast and cheese\", \"Nora, Piper, Eva, Piper, Nevaeh, Claire\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/09/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1159\", \"logical_representation\": [\"2010/09/29\", \"lunch\", \"sandwich\", \"Willow\"], \"text_template_based\": \"I had sandwich for lunch with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/09/29?\", \"Willow\"], [\"what did I eat for lunch on 2010/09/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1160\", \"logical_representation\": [\"2010/09/29\", \"dinner\", \"pasta\", \"Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/09/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1161\", \"logical_representation\": [\"2010/09/29\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/09/29?\", \"18 minutes\"], [\"what did I read on 2010/09/29?\", \"social media\"], [\"Did I read on 2010/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/01\": {\"breakfast\": {\"eid\": \"e1165\", \"logical_representation\": [\"2010/10/01\", \"breakfast\", \"peanut-butter-jam\", \"Olivia, Layla, Piper, Rylee, Avery, Eva\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/10/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1166\", \"logical_representation\": [\"2010/10/01\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/01?\", \"52 minutes\"], [\"what did I watch on tv on 2010/10/01?\", \"news\"], [\"Did I watch tv on 2010/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/03\": {\"exercise\": {\"eid\": \"e1171\", \"logical_representation\": [\"2010/10/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/10/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1172\", \"logical_representation\": [\"2010/10/03\", \"lunch\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/03\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1173\", \"logical_representation\": [\"2010/10/03\", \"Nora, Lydia\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Nora, Lydia for 16 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia in the early evening on 2010/10/03?\", \"16 minutes\"], [\"who did I talk to on 2010/10/03?\", \"Nora, Lydia\"], [\"Did I talk to Nora, Lydia on 2010/10/03?\", \"yes\"], [\"Did I talk to anyone on 2010/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1174\", \"logical_representation\": [\"2010/10/03\", \"Layla, Hazel, Olivia\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Layla, Hazel, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Olivia in the morning on 2010/10/03?\", \"47 minutes\"], [\"who did I talk to on 2010/10/03?\", \"Layla, Hazel, Olivia\"], [\"Did I talk to Layla, Hazel, Olivia on 2010/10/03?\", \"yes\"], [\"Did I talk to anyone on 2010/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/06\": {\"breakfast\": {\"eid\": \"e1180\", \"logical_representation\": [\"2010/10/06\", \"breakfast\", \"pancakes\", \"Emily, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/10/06?\", \"Emily, Andrew\"], [\"what did I eat for breakfast on 2010/10/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1181\", \"logical_representation\": [\"2010/10/06\", \"dinner\", \"fish and chips\", \"Willow, Jackson\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/10/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1182\", \"logical_representation\": [\"2010/10/06\", \"Hazel\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the morning on 2010/10/06?\", \"35 minutes\"], [\"who did I talk to on 2010/10/06?\", \"Hazel\"], [\"Did I talk to Hazel on 2010/10/06?\", \"yes\"], [\"Did I talk to anyone on 2010/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1183\", \"logical_representation\": [\"2010/10/06\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/10/06?\", \"42 minutes\"], [\"what did I read on 2010/10/06?\", \"news\"], [\"Did I read on 2010/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1184\", \"logical_representation\": [\"2010/10/06\", \"a movie\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/06?\", \"20 minutes\"], [\"what did I watch on tv on 2010/10/06?\", \"a movie\"], [\"Did I watch tv on 2010/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/07\": {\"exercise\": {\"eid\": \"e1185\", \"logical_representation\": [\"2010/10/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/10/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1186\", \"logical_representation\": [\"2010/10/07\", \"dinner\", \"sushi\", \"Avery, Kinsley, Lydia, Nora, Hazel, Olivia, Rylee\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/10/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1187\", \"logical_representation\": [\"2010/10/07\", \"Nora, Kinsley, Hazel, Avery\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Nora, Kinsley, Hazel, Avery for 20 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Hazel, Avery late in the evening on 2010/10/07?\", \"20 minutes\"], [\"who did I talk to on 2010/10/07?\", \"Nora, Kinsley, Hazel, Avery\"], [\"Did I talk to Nora, Kinsley, Hazel, Avery on 2010/10/07?\", \"yes\"], [\"Did I talk to anyone on 2010/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1188\", \"logical_representation\": [\"2010/10/07\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/10/07?\", \"6 minutes\"], [\"what did I read on 2010/10/07?\", \"news\"], [\"Did I read on 2010/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/08\": {\"breakfast\": {\"eid\": \"e1189\", \"logical_representation\": [\"2010/10/08\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I had cereals for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/10/08?\", \"Emily\"], [\"what did I eat for breakfast on 2010/10/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1190\", \"logical_representation\": [\"2010/10/08\", \"lunch\", \"sandwich\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2010/10/09\": {\"exercise\": {\"eid\": \"e1191\", \"logical_representation\": [\"2010/10/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/10/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1192\", \"logical_representation\": [\"2010/10/09\", \"lunch\", \"pasta\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/10/09?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2010/10/09\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1193\", \"logical_representation\": [\"2010/10/09\", \"Rylee, Nora\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Rylee, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora in the early afternoon on 2010/10/09?\", \"45 minutes\"], [\"who did I talk to on 2010/10/09?\", \"Rylee, Nora\"], [\"Did I talk to Rylee, Nora on 2010/10/09?\", \"yes\"], [\"Did I talk to anyone on 2010/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1194\", \"logical_representation\": [\"2010/10/09\", \"Eva, Avery\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Eva, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery during lunch hours on 2010/10/09?\", \"11 minutes\"], [\"who did I talk to on 2010/10/09?\", \"Eva, Avery\"], [\"Did I talk to Eva, Avery on 2010/10/09?\", \"yes\"], [\"Did I talk to anyone on 2010/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/10\": {\"dinner\": {\"eid\": \"e1195\", \"logical_representation\": [\"2010/10/10\", \"dinner\", \"tacos\", \"Nora, Layla, Rylee, Hazel, Piper, Claire\"], \"text_template_based\": \"I had dinner with Nora, Layla, Rylee, Hazel, Piper, Claire. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/10/10?\", \"Nora, Layla, Rylee, Hazel, Piper, Claire\"], [\"what did I eat for dinner on 2010/10/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1196\", \"logical_representation\": [\"2010/10/10\", \"Nevaeh, Olivia\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Nevaeh, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia during lunch hours on 2010/10/10?\", \"39 minutes\"], [\"who did I talk to on 2010/10/10?\", \"Nevaeh, Olivia\"], [\"Did I talk to Nevaeh, Olivia on 2010/10/10?\", \"yes\"], [\"Did I talk to anyone on 2010/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/12\": {\"exercise\": {\"eid\": \"e1199\", \"logical_representation\": [\"2010/10/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/10/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1200\", \"logical_representation\": [\"2010/10/12\", \"Kinsley, Nevaeh\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh for 37 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh in the morning on 2010/10/12?\", \"37 minutes\"], [\"who did I talk to on 2010/10/12?\", \"Kinsley, Nevaeh\"], [\"Did I talk to Kinsley, Nevaeh on 2010/10/12?\", \"yes\"], [\"Did I talk to anyone on 2010/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1201\", \"logical_representation\": [\"2010/10/12\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/10/12?\", \"34 minutes\"], [\"what did I read on 2010/10/12?\", \"social media\"], [\"Did I read on 2010/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/14\": {\"dinner\": {\"eid\": \"e1205\", \"logical_representation\": [\"2010/10/14\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had indian food for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/10/14?\", \"Carter\"], [\"what did I eat for dinner on 2010/10/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1206\", \"logical_representation\": [\"2010/10/14\", \"Claire, Nora, Kinsley, Rylee\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Kinsley, Rylee for 15 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Kinsley, Rylee in the late afternoon on 2010/10/14?\", \"15 minutes\"], [\"who did I talk to on 2010/10/14?\", \"Claire, Nora, Kinsley, Rylee\"], [\"Did I talk to Claire, Nora, Kinsley, Rylee on 2010/10/14?\", \"yes\"], [\"Did I talk to anyone on 2010/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1207\", \"logical_representation\": [\"2010/10/14\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/10/14?\", \"11 minutes\"], [\"what did I read on 2010/10/14?\", \"a book\"], [\"Did I read on 2010/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1208\", \"logical_representation\": [\"2010/10/14\", \"a movie\", \"20 minutes\"], \"text_template_based\": \"I watched a movie for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/14?\", \"20 minutes\"], [\"what did I watch on tv on 2010/10/14?\", \"a movie\"], [\"Did I watch tv on 2010/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/16\": {\"exercise\": {\"eid\": \"e1213\", \"logical_representation\": [\"2010/10/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/10/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1214\", \"logical_representation\": [\"2010/10/16\", \"breakfast\", \"pancakes\", \"Olivia, Claire, Eva, Kinsley, Lydia, Piper, Piper, Layla, Nora, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/10/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1215\", \"logical_representation\": [\"2010/10/16\", \"lunch\", \"pasta\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1216\", \"logical_representation\": [\"2010/10/16\", \"Layla\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla during lunch hours on 2010/10/16?\", \"43 minutes\"], [\"who did I talk to on 2010/10/16?\", \"Layla\"], [\"Did I talk to Layla on 2010/10/16?\", \"yes\"], [\"Did I talk to anyone on 2010/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/18\": {\"breakfast\": {\"eid\": \"e1221\", \"logical_representation\": [\"2010/10/18\", \"breakfast\", \"toast and cheese\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had toast and cheese for breakfast with Avery, Benjamin, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/10/18?\", \"Avery, Benjamin, Jackson, Willow\"], [\"what did I eat for breakfast on 2010/10/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1222\", \"logical_representation\": [\"2010/10/18\", \"dinner\", \"pasta\", \"Carter\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/10/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1223\", \"logical_representation\": [\"2010/10/18\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/10/18?\", \"41 minutes\"], [\"what did I read on 2010/10/18?\", \"a book\"], [\"Did I read on 2010/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/19\": {\"breakfast\": {\"eid\": \"e1224\", \"logical_representation\": [\"2010/10/19\", \"breakfast\", \"oatmeal\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/10/19\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1225\", \"logical_representation\": [\"2010/10/19\", \"lunch\", \"indian food\", \"Nevaeh, Rylee, Avery, Layla, Hazel\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/19\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2010/10/20\": {\"lunch\": {\"eid\": \"e1226\", \"logical_representation\": [\"2010/10/20\", \"lunch\", \"tacos\", \"Eva, Nora, Hazel, Avery, Kinsley, Layla, Piper, Lydia, Rylee\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1227\", \"logical_representation\": [\"2010/10/20\", \"dinner\", \"indian food\", \"Claire, Kinsley, Olivia, Nevaeh, Piper, Lydia, Avery, Hazel, Layla, Piper, Rylee\"], \"text_template_based\": \"I had dinner with Claire, Kinsley, Olivia, Nevaeh, Piper, Lydia, Avery, Hazel, Layla, Piper, Rylee. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/10/20?\", \"Claire, Kinsley, Olivia, Nevaeh, Piper, Lydia, Avery, Hazel, Layla, Piper, Rylee\"], [\"what did I eat for dinner on 2010/10/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1228\", \"logical_representation\": [\"2010/10/20\", \"Avery, Claire\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I talked to Avery, Claire for 9 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire in the late afternoon on 2010/10/20?\", \"9 minutes\"], [\"who did I talk to on 2010/10/20?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2010/10/20?\", \"yes\"], [\"Did I talk to anyone on 2010/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1229\", \"logical_representation\": [\"2010/10/20\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/10/20?\", \"14 minutes\"], [\"what did I read on 2010/10/20?\", \"a book\"], [\"Did I read on 2010/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1230\", \"logical_representation\": [\"2010/10/20\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/20?\", \"26 minutes\"], [\"what did I watch on tv on 2010/10/20?\", \"a tv series\"], [\"Did I watch tv on 2010/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/21\": {\"breakfast\": {\"eid\": \"e1231\", \"logical_representation\": [\"2010/10/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Nevaeh, Nora, Avery, Hazel, Piper, Rylee, Kinsley, Piper\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/10/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1232\", \"logical_representation\": [\"2010/10/21\", \"dinner\", \"sushi\", \"Eva, Lydia, Piper, Claire, Rylee, Layla, Avery, Piper, Nora\"], \"text_template_based\": \"I had dinner with Eva, Lydia, Piper, Claire, Rylee, Layla, Avery, Piper, Nora. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/10/21?\", \"Eva, Lydia, Piper, Claire, Rylee, Layla, Avery, Piper, Nora\"], [\"what did I eat for dinner on 2010/10/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1233\", \"logical_representation\": [\"2010/10/21\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/10/21?\", \"39 minutes\"], [\"what did I read on 2010/10/21?\", \"a book\"], [\"Did I read on 2010/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1234\", \"logical_representation\": [\"2010/10/21\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/21?\", \"41 minutes\"], [\"what did I watch on tv on 2010/10/21?\", \"a movie\"], [\"Did I watch tv on 2010/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/22\": {\"exercise\": {\"eid\": \"e1235\", \"logical_representation\": [\"2010/10/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/10/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1236\", \"logical_representation\": [\"2010/10/22\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/10/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1237\", \"logical_representation\": [\"2010/10/22\", \"Olivia, Piper, Eva\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Eva for 48 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Eva in the early afternoon on 2010/10/22?\", \"48 minutes\"], [\"who did I talk to on 2010/10/22?\", \"Olivia, Piper, Eva\"], [\"Did I talk to Olivia, Piper, Eva on 2010/10/22?\", \"yes\"], [\"Did I talk to anyone on 2010/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1238\", \"logical_representation\": [\"2010/10/22\", \"Eva, Rylee, Nevaeh\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Eva, Rylee, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Nevaeh in the late afternoon on 2010/10/22?\", \"42 minutes\"], [\"who did I talk to on 2010/10/22?\", \"Eva, Rylee, Nevaeh\"], [\"Did I talk to Eva, Rylee, Nevaeh on 2010/10/22?\", \"yes\"], [\"Did I talk to anyone on 2010/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/24\": {\"lunch\": {\"eid\": \"e1245\", \"logical_representation\": [\"2010/10/24\", \"lunch\", \"sandwich\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1246\", \"logical_representation\": [\"2010/10/24\", \"Piper\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2010/10/24?\", \"9 minutes\"], [\"who did I talk to on 2010/10/24?\", \"Piper\"], [\"Did I talk to Piper on 2010/10/24?\", \"yes\"], [\"Did I talk to anyone on 2010/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1247\", \"logical_representation\": [\"2010/10/24\", \"a movie\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/24?\", \"31 minutes\"], [\"what did I watch on tv on 2010/10/24?\", \"a movie\"], [\"Did I watch tv on 2010/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/25\": {\"exercise\": {\"eid\": \"e1248\", \"logical_representation\": [\"2010/10/25\", \"running\"], \"text_template_based\": \"I did running on 2010/10/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1249\", \"logical_representation\": [\"2010/10/25\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/10/25\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1250\", \"logical_representation\": [\"2010/10/25\", \"Nora\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2010/10/25?\", \"37 minutes\"], [\"who did I talk to on 2010/10/25?\", \"Nora\"], [\"Did I talk to Nora on 2010/10/25?\", \"yes\"], [\"Did I talk to anyone on 2010/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/26\": {\"exercise\": {\"eid\": \"e1251\", \"logical_representation\": [\"2010/10/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/10/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1252\", \"logical_representation\": [\"2010/10/26\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I watched a tv series for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/26?\", \"33 minutes\"], [\"what did I watch on tv on 2010/10/26?\", \"a tv series\"], [\"Did I watch tv on 2010/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/30\": {\"exercise\": {\"eid\": \"e1263\", \"logical_representation\": [\"2010/10/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/10/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1264\", \"logical_representation\": [\"2010/10/30\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/10/30\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1265\", \"logical_representation\": [\"2010/10/30\", \"dinner\", \"fish and chips\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Emily, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/10/30?\", \"Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2010/10/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1266\", \"logical_representation\": [\"2010/10/30\", \"Piper, Hazel, Lydia, Avery\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Lydia, Avery for 33 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Lydia, Avery in the morning on 2010/10/30?\", \"33 minutes\"], [\"who did I talk to on 2010/10/30?\", \"Piper, Hazel, Lydia, Avery\"], [\"Did I talk to Piper, Hazel, Lydia, Avery on 2010/10/30?\", \"yes\"], [\"Did I talk to anyone on 2010/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1267\", \"logical_representation\": [\"2010/10/30\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/10/30?\", \"12 minutes\"], [\"what did I read on 2010/10/30?\", \"news\"], [\"Did I read on 2010/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/31\": {\"exercise\": {\"eid\": \"e1268\", \"logical_representation\": [\"2010/10/31\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/10/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/31?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1269\", \"logical_representation\": [\"2010/10/31\", \"dinner\", \"pasta\", \"Avery, Eva\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/10/31\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1270\", \"logical_representation\": [\"2010/10/31\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/10/31?\", \"38 minutes\"], [\"what did I read on 2010/10/31?\", \"social media\"], [\"Did I read on 2010/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1271\", \"logical_representation\": [\"2010/10/31\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I watched a tv series for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/31?\", \"47 minutes\"], [\"what did I watch on tv on 2010/10/31?\", \"a tv series\"], [\"Did I watch tv on 2010/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/01\": {\"lunch\": {\"eid\": \"e1272\", \"logical_representation\": [\"2010/11/01\", \"lunch\", \"a burger\", \"Olivia\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1273\", \"logical_representation\": [\"2010/11/01\", \"dinner\", \"chinese food\", \"Jackson\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1274\", \"logical_representation\": [\"2010/11/01\", \"Kinsley\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2010/11/01?\", \"47 minutes\"], [\"who did I talk to on 2010/11/01?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2010/11/01?\", \"yes\"], [\"Did I talk to anyone on 2010/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1275\", \"logical_representation\": [\"2010/11/01\", \"Piper, Lydia, Layla\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Piper, Lydia, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Layla late in the evening on 2010/11/01?\", \"47 minutes\"], [\"who did I talk to on 2010/11/01?\", \"Piper, Lydia, Layla\"], [\"Did I talk to Piper, Lydia, Layla on 2010/11/01?\", \"yes\"], [\"Did I talk to anyone on 2010/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1276\", \"logical_representation\": [\"2010/11/01\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/11/01?\", \"42 minutes\"], [\"what did I read on 2010/11/01?\", \"social media\"], [\"Did I read on 2010/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1277\", \"logical_representation\": [\"2010/11/01\", \"a movie\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/01?\", \"31 minutes\"], [\"what did I watch on tv on 2010/11/01?\", \"a movie\"], [\"Did I watch tv on 2010/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/03\": {\"breakfast\": {\"eid\": \"e1281\", \"logical_representation\": [\"2010/11/03\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/11/03?\", \"Jackson\"], [\"what did I eat for breakfast on 2010/11/03\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1282\", \"logical_representation\": [\"2010/11/03\", \"dinner\", \"steak\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1283\", \"logical_representation\": [\"2010/11/03\", \"Olivia, Nevaeh\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Olivia, Nevaeh for 47 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh in the early evening on 2010/11/03?\", \"47 minutes\"], [\"who did I talk to on 2010/11/03?\", \"Olivia, Nevaeh\"], [\"Did I talk to Olivia, Nevaeh on 2010/11/03?\", \"yes\"], [\"Did I talk to anyone on 2010/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1284\", \"logical_representation\": [\"2010/11/03\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/11/03?\", \"10 minutes\"], [\"what did I read on 2010/11/03?\", \"social media\"], [\"Did I read on 2010/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1285\", \"logical_representation\": [\"2010/11/03\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/03?\", \"7 minutes\"], [\"what did I watch on tv on 2010/11/03?\", \"a tv series\"], [\"Did I watch tv on 2010/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/04\": {\"exercise\": {\"eid\": \"e1286\", \"logical_representation\": [\"2010/11/04\", \"running\"], \"text_template_based\": \"I did running on 2010/11/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/04?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1287\", \"logical_representation\": [\"2010/11/04\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Piper, Nevaeh, Piper, Lydia, Avery, Nora, Olivia, Hazel, Rylee, Layla, Claire, Eva\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kinsley, Piper, Nevaeh, Piper, Lydia, Avery, Nora, Olivia, Hazel, Rylee, Layla, Claire, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/11/04?\", \"Kinsley, Piper, Nevaeh, Piper, Lydia, Avery, Nora, Olivia, Hazel, Rylee, Layla, Claire, Eva\"], [\"what did I eat for breakfast on 2010/11/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1288\", \"logical_representation\": [\"2010/11/04\", \"lunch\", \"a burger\", \"Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Andrew. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/11/04?\", \"Kayden, Andrew\"], [\"what did I eat for lunch on 2010/11/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1289\", \"logical_representation\": [\"2010/11/04\", \"dinner\", \"sushi\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1290\", \"logical_representation\": [\"2010/11/04\", \"Eva, Piper, Olivia\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Eva, Piper, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Olivia in the morning on 2010/11/04?\", \"48 minutes\"], [\"who did I talk to on 2010/11/04?\", \"Eva, Piper, Olivia\"], [\"Did I talk to Eva, Piper, Olivia on 2010/11/04?\", \"yes\"], [\"Did I talk to anyone on 2010/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/07\": {\"exercise\": {\"eid\": \"e1301\", \"logical_representation\": [\"2010/11/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/11/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1302\", \"logical_representation\": [\"2010/11/07\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/11/07?\", \"Andrew\"], [\"what did I eat for breakfast on 2010/11/07\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1303\", \"logical_representation\": [\"2010/11/07\", \"dinner\", \"pasta\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had pasta for dinner with Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/11/07?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2010/11/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1304\", \"logical_representation\": [\"2010/11/07\", \"Hazel, Layla, Nevaeh\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Hazel, Layla, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla, Nevaeh in the morning on 2010/11/07?\", \"45 minutes\"], [\"who did I talk to on 2010/11/07?\", \"Hazel, Layla, Nevaeh\"], [\"Did I talk to Hazel, Layla, Nevaeh on 2010/11/07?\", \"yes\"], [\"Did I talk to anyone on 2010/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/08\": {\"chat0\": {\"eid\": \"e1305\", \"logical_representation\": [\"2010/11/08\", \"Hazel, Lydia, Rylee, Avery\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia, Rylee, Avery for 48 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Rylee, Avery during lunch hours on 2010/11/08?\", \"48 minutes\"], [\"who did I talk to on 2010/11/08?\", \"Hazel, Lydia, Rylee, Avery\"], [\"Did I talk to Hazel, Lydia, Rylee, Avery on 2010/11/08?\", \"yes\"], [\"Did I talk to anyone on 2010/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1306\", \"logical_representation\": [\"2010/11/08\", \"Hazel, Kinsley, Lydia\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Hazel, Kinsley, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley, Lydia in the morning on 2010/11/08?\", \"55 minutes\"], [\"who did I talk to on 2010/11/08?\", \"Hazel, Kinsley, Lydia\"], [\"Did I talk to Hazel, Kinsley, Lydia on 2010/11/08?\", \"yes\"], [\"Did I talk to anyone on 2010/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/09\": {\"lunch\": {\"eid\": \"e1307\", \"logical_representation\": [\"2010/11/09\", \"lunch\", \"sandwich\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had sandwich for lunch with Benjamin, Avery, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/11/09?\", \"Benjamin, Avery, Willow, Jackson\"], [\"what did I eat for lunch on 2010/11/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1308\", \"logical_representation\": [\"2010/11/09\", \"dinner\", \"sushi\", \"Jackson\"], \"text_template_based\": \"I had dinner with Jackson. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/11/09?\", \"Jackson\"], [\"what did I eat for dinner on 2010/11/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1309\", \"logical_representation\": [\"2010/11/09\", \"Nevaeh, Kinsley, Rylee, Nora\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Nevaeh, Kinsley, Rylee, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Rylee, Nora in the early afternoon on 2010/11/09?\", \"54 minutes\"], [\"who did I talk to on 2010/11/09?\", \"Nevaeh, Kinsley, Rylee, Nora\"], [\"Did I talk to Nevaeh, Kinsley, Rylee, Nora on 2010/11/09?\", \"yes\"], [\"Did I talk to anyone on 2010/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1310\", \"logical_representation\": [\"2010/11/09\", \"Rylee, Kinsley, Lydia\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Rylee, Kinsley, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Lydia late in the evening on 2010/11/09?\", \"52 minutes\"], [\"who did I talk to on 2010/11/09?\", \"Rylee, Kinsley, Lydia\"], [\"Did I talk to Rylee, Kinsley, Lydia on 2010/11/09?\", \"yes\"], [\"Did I talk to anyone on 2010/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/11\": {\"watch tv\": {\"eid\": \"e1315\", \"logical_representation\": [\"2010/11/11\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I watched a documentary for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/11?\", \"30 minutes\"], [\"what did I watch on tv on 2010/11/11?\", \"a documentary\"], [\"Did I watch tv on 2010/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/12\": {\"exercise\": {\"eid\": \"e1316\", \"logical_representation\": [\"2010/11/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/11/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1317\", \"logical_representation\": [\"2010/11/12\", \"lunch\", \"sushi\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1318\", \"logical_representation\": [\"2010/11/12\", \"dinner\", \"a burger\", \"Willow\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1319\", \"logical_representation\": [\"2010/11/12\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/11/12?\", \"24 minutes\"], [\"what did I read on 2010/11/12?\", \"a book\"], [\"Did I read on 2010/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1320\", \"logical_representation\": [\"2010/11/12\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/12?\", \"6 minutes\"], [\"what did I watch on tv on 2010/11/12?\", \"a tv series\"], [\"Did I watch tv on 2010/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/14\": {\"read\": {\"eid\": \"e1325\", \"logical_representation\": [\"2010/11/14\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/11/14?\", \"24 minutes\"], [\"what did I read on 2010/11/14?\", \"news\"], [\"Did I read on 2010/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/15\": {\"breakfast\": {\"eid\": \"e1326\", \"logical_representation\": [\"2010/11/15\", \"breakfast\", \"cereals\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/11/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1327\", \"logical_representation\": [\"2010/11/15\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/11/15?\", \"54 minutes\"], [\"what did I read on 2010/11/15?\", \"news\"], [\"Did I read on 2010/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1328\", \"logical_representation\": [\"2010/11/15\", \"a documentary\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/15?\", \"45 minutes\"], [\"what did I watch on tv on 2010/11/15?\", \"a documentary\"], [\"Did I watch tv on 2010/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/17\": {\"breakfast\": {\"eid\": \"e1333\", \"logical_representation\": [\"2010/11/17\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Carter, Kayden. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/11/17?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for breakfast on 2010/11/17\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1334\", \"logical_representation\": [\"2010/11/17\", \"dinner\", \"pasta\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/11/17?\", \"Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2010/11/17\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2010/11/18\": {\"breakfast\": {\"eid\": \"e1335\", \"logical_representation\": [\"2010/11/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/11/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1336\", \"logical_representation\": [\"2010/11/18\", \"lunch\", \"steak\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had steak for lunch with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/11/18?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2010/11/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1337\", \"logical_representation\": [\"2010/11/18\", \"dinner\", \"tacos\", \"Benjamin\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1338\", \"logical_representation\": [\"2010/11/18\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/11/18?\", \"39 minutes\"], [\"what did I read on 2010/11/18?\", \"social media\"], [\"Did I read on 2010/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1339\", \"logical_representation\": [\"2010/11/18\", \"a tv series\", \"14 minutes\"], \"text_template_based\": \"I watched a tv series for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/18?\", \"14 minutes\"], [\"what did I watch on tv on 2010/11/18?\", \"a tv series\"], [\"Did I watch tv on 2010/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/19\": {\"breakfast\": {\"eid\": \"e1340\", \"logical_representation\": [\"2010/11/19\", \"breakfast\", \"oatmeal\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/11/19\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1341\", \"logical_representation\": [\"2010/11/19\", \"Avery, Kinsley, Lydia\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Avery, Kinsley, Lydia for 20 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley, Lydia in the late afternoon on 2010/11/19?\", \"20 minutes\"], [\"who did I talk to on 2010/11/19?\", \"Avery, Kinsley, Lydia\"], [\"Did I talk to Avery, Kinsley, Lydia on 2010/11/19?\", \"yes\"], [\"Did I talk to anyone on 2010/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1342\", \"logical_representation\": [\"2010/11/19\", \"Layla, Piper\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Layla, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper in the early afternoon on 2010/11/19?\", \"40 minutes\"], [\"who did I talk to on 2010/11/19?\", \"Layla, Piper\"], [\"Did I talk to Layla, Piper on 2010/11/19?\", \"yes\"], [\"Did I talk to anyone on 2010/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1343\", \"logical_representation\": [\"2010/11/19\", \"a movie\", \"35 minutes\"], \"text_template_based\": \"I watched a movie for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/19?\", \"35 minutes\"], [\"what did I watch on tv on 2010/11/19?\", \"a movie\"], [\"Did I watch tv on 2010/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/20\": {\"exercise\": {\"eid\": \"e1344\", \"logical_representation\": [\"2010/11/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/11/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1345\", \"logical_representation\": [\"2010/11/20\", \"lunch\", \"tacos\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/11/20?\", \"Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2010/11/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1346\", \"logical_representation\": [\"2010/11/20\", \"Kinsley, Lydia\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia for 46 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia late in the evening on 2010/11/20?\", \"46 minutes\"], [\"who did I talk to on 2010/11/20?\", \"Kinsley, Lydia\"], [\"Did I talk to Kinsley, Lydia on 2010/11/20?\", \"yes\"], [\"Did I talk to anyone on 2010/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1347\", \"logical_representation\": [\"2010/11/20\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/11/20?\", \"45 minutes\"], [\"what did I read on 2010/11/20?\", \"news\"], [\"Did I read on 2010/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/21\": {\"exercise\": {\"eid\": \"e1348\", \"logical_representation\": [\"2010/11/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/11/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1349\", \"logical_representation\": [\"2010/11/21\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/11/21?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2010/11/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1350\", \"logical_representation\": [\"2010/11/21\", \"lunch\", \"tacos\", \"Avery, Olivia, Claire, Nevaeh, Eva, Layla, Piper, Rylee, Lydia, Hazel, Piper, Nora\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1351\", \"logical_representation\": [\"2010/11/21\", \"dinner\", \"sandwich\", \"Nevaeh, Nora, Piper, Hazel, Olivia, Eva, Avery, Kinsley, Piper, Claire\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1352\", \"logical_representation\": [\"2010/11/21\", \"Claire, Hazel, Rylee\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Claire, Hazel, Rylee for 31 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Rylee in the early afternoon on 2010/11/21?\", \"31 minutes\"], [\"who did I talk to on 2010/11/21?\", \"Claire, Hazel, Rylee\"], [\"Did I talk to Claire, Hazel, Rylee on 2010/11/21?\", \"yes\"], [\"Did I talk to anyone on 2010/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1353\", \"logical_representation\": [\"2010/11/21\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/21?\", \"14 minutes\"], [\"what did I watch on tv on 2010/11/21?\", \"a movie\"], [\"Did I watch tv on 2010/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/22\": {\"exercise\": {\"eid\": \"e1354\", \"logical_representation\": [\"2010/11/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/11/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1355\", \"logical_representation\": [\"2010/11/22\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/11/22\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1356\", \"logical_representation\": [\"2010/11/22\", \"lunch\", \"tacos\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1357\", \"logical_representation\": [\"2010/11/22\", \"dinner\", \"indian food\", \"Kayden, Carter\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1358\", \"logical_representation\": [\"2010/11/22\", \"Piper, Kinsley, Olivia\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Olivia for 34 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Olivia in the early afternoon on 2010/11/22?\", \"34 minutes\"], [\"who did I talk to on 2010/11/22?\", \"Piper, Kinsley, Olivia\"], [\"Did I talk to Piper, Kinsley, Olivia on 2010/11/22?\", \"yes\"], [\"Did I talk to anyone on 2010/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/23\": {\"exercise\": {\"eid\": \"e1359\", \"logical_representation\": [\"2010/11/23\", \"running\"], \"text_template_based\": \"I did running on 2010/11/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1360\", \"logical_representation\": [\"2010/11/23\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Emily, Carter, Kayden. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/11/23?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for breakfast on 2010/11/23\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1361\", \"logical_representation\": [\"2010/11/23\", \"dinner\", \"sushi\", \"Rylee, Nora, Eva, Olivia, Avery, Nevaeh, Lydia\"], \"text_template_based\": \"I had dinner with Rylee, Nora, Eva, Olivia, Avery, Nevaeh, Lydia. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/11/23?\", \"Rylee, Nora, Eva, Olivia, Avery, Nevaeh, Lydia\"], [\"what did I eat for dinner on 2010/11/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1362\", \"logical_representation\": [\"2010/11/23\", \"Nevaeh, Avery, Claire, Kinsley\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Avery, Claire, Kinsley for 17 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Claire, Kinsley in the morning on 2010/11/23?\", \"17 minutes\"], [\"who did I talk to on 2010/11/23?\", \"Nevaeh, Avery, Claire, Kinsley\"], [\"Did I talk to Nevaeh, Avery, Claire, Kinsley on 2010/11/23?\", \"yes\"], [\"Did I talk to anyone on 2010/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1363\", \"logical_representation\": [\"2010/11/23\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/11/23?\", \"26 minutes\"], [\"what did I read on 2010/11/23?\", \"social media\"], [\"Did I read on 2010/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1364\", \"logical_representation\": [\"2010/11/23\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/23?\", \"12 minutes\"], [\"what did I watch on tv on 2010/11/23?\", \"news\"], [\"Did I watch tv on 2010/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/24\": {\"dinner\": {\"eid\": \"e1365\", \"logical_representation\": [\"2010/11/24\", \"dinner\", \"steak\", \"Layla, Kinsley, Nora, Lydia, Piper\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/24\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/11/25\": {\"breakfast\": {\"eid\": \"e1366\", \"logical_representation\": [\"2010/11/25\", \"breakfast\", \"oatmeal\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had oatmeal for breakfast with Emily, Carter, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/11/25?\", \"Emily, Carter, Andrew, Kayden\"], [\"what did I eat for breakfast on 2010/11/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1367\", \"logical_representation\": [\"2010/11/25\", \"dinner\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I had sandwich for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/11/25?\", \"Carter\"], [\"what did I eat for dinner on 2010/11/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1368\", \"logical_representation\": [\"2010/11/25\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/25?\", \"33 minutes\"], [\"what did I watch on tv on 2010/11/25?\", \"a documentary\"], [\"Did I watch tv on 2010/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/26\": {\"exercise\": {\"eid\": \"e1369\", \"logical_representation\": [\"2010/11/26\", \"running\"], \"text_template_based\": \"I did running on 2010/11/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1370\", \"logical_representation\": [\"2010/11/26\", \"lunch\", \"pasta\", \"Piper, Hazel, Avery, Claire\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1371\", \"logical_representation\": [\"2010/11/26\", \"Claire\", \"during lunch hours\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2010/11/26?\", \"40 minutes\"], [\"who did I talk to on 2010/11/26?\", \"Claire\"], [\"Did I talk to Claire on 2010/11/26?\", \"yes\"], [\"Did I talk to anyone on 2010/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1372\", \"logical_representation\": [\"2010/11/26\", \"Piper\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2010/11/26?\", \"19 minutes\"], [\"who did I talk to on 2010/11/26?\", \"Piper\"], [\"Did I talk to Piper on 2010/11/26?\", \"yes\"], [\"Did I talk to anyone on 2010/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1373\", \"logical_representation\": [\"2010/11/26\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/11/26?\", \"45 minutes\"], [\"what did I read on 2010/11/26?\", \"a book\"], [\"Did I read on 2010/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1374\", \"logical_representation\": [\"2010/11/26\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/26?\", \"37 minutes\"], [\"what did I watch on tv on 2010/11/26?\", \"news\"], [\"Did I watch tv on 2010/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/27\": {\"breakfast\": {\"eid\": \"e1375\", \"logical_representation\": [\"2010/11/27\", \"breakfast\", \"pancakes\", \"Piper, Layla, Rylee, Avery, Nora, Eva, Olivia, Lydia, Piper, Nevaeh, Kinsley, Claire, Hazel\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/11/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1376\", \"logical_representation\": [\"2010/11/27\", \"dinner\", \"a burger\", \"Eva\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1377\", \"logical_representation\": [\"2010/11/27\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/11/27?\", \"20 minutes\"], [\"what did I read on 2010/11/27?\", \"news\"], [\"Did I read on 2010/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1378\", \"logical_representation\": [\"2010/11/27\", \"a tv series\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/27?\", \"46 minutes\"], [\"what did I watch on tv on 2010/11/27?\", \"a tv series\"], [\"Did I watch tv on 2010/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/30\": {\"breakfast\": {\"eid\": \"e1388\", \"logical_representation\": [\"2010/11/30\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Piper, Nevaeh, Olivia, Claire, Lydia, Hazel, Eva, Nora, Piper, Kinsley\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Avery, Piper, Nevaeh, Olivia, Claire, Lydia, Hazel, Eva, Nora, Piper, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/11/30?\", \"Avery, Piper, Nevaeh, Olivia, Claire, Lydia, Hazel, Eva, Nora, Piper, Kinsley\"], [\"what did I eat for breakfast on 2010/11/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1389\", \"logical_representation\": [\"2010/11/30\", \"dinner\", \"pasta\", \"Eva, Rylee, Lydia, Kinsley, Olivia, Layla, Nevaeh, Claire, Piper, Hazel, Avery\"], \"text_template_based\": \"I had pasta for dinner with Eva, Rylee, Lydia, Kinsley, Olivia, Layla, Nevaeh, Claire, Piper, Hazel, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/11/30?\", \"Eva, Rylee, Lydia, Kinsley, Olivia, Layla, Nevaeh, Claire, Piper, Hazel, Avery\"], [\"what did I eat for dinner on 2010/11/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1390\", \"logical_representation\": [\"2010/11/30\", \"Olivia, Hazel\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Olivia, Hazel for 15 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel late in the evening on 2010/11/30?\", \"15 minutes\"], [\"who did I talk to on 2010/11/30?\", \"Olivia, Hazel\"], [\"Did I talk to Olivia, Hazel on 2010/11/30?\", \"yes\"], [\"Did I talk to anyone on 2010/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/01\": {\"lunch\": {\"eid\": \"e1391\", \"logical_representation\": [\"2010/12/01\", \"lunch\", \"pasta\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had pasta for lunch with Kayden, Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/12/01?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2010/12/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1392\", \"logical_representation\": [\"2010/12/01\", \"dinner\", \"tacos\", \"Eva, Olivia, Layla, Piper, Claire, Rylee, Lydia, Avery, Piper, Nora\"], \"text_template_based\": \"I had tacos for dinner with Eva, Olivia, Layla, Piper, Claire, Rylee, Lydia, Avery, Piper, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/12/01?\", \"Eva, Olivia, Layla, Piper, Claire, Rylee, Lydia, Avery, Piper, Nora\"], [\"what did I eat for dinner on 2010/12/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1393\", \"logical_representation\": [\"2010/12/01\", \"Nora, Layla\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Nora, Layla for 19 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla in the late afternoon on 2010/12/01?\", \"19 minutes\"], [\"who did I talk to on 2010/12/01?\", \"Nora, Layla\"], [\"Did I talk to Nora, Layla on 2010/12/01?\", \"yes\"], [\"Did I talk to anyone on 2010/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/02\": {\"exercise\": {\"eid\": \"e1394\", \"logical_representation\": [\"2010/12/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/12/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1395\", \"logical_representation\": [\"2010/12/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/12/02?\", \"Emily\"], [\"what did I eat for breakfast on 2010/12/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1396\", \"logical_representation\": [\"2010/12/02\", \"Lydia\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Lydia for 52 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2010/12/02?\", \"52 minutes\"], [\"who did I talk to on 2010/12/02?\", \"Lydia\"], [\"Did I talk to Lydia on 2010/12/02?\", \"yes\"], [\"Did I talk to anyone on 2010/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/03\": {\"exercise\": {\"eid\": \"e1397\", \"logical_representation\": [\"2010/12/03\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/12/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/03?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1398\", \"logical_representation\": [\"2010/12/03\", \"Claire\", \"during lunch hours\", \"15 minutes\"], \"text_template_based\": \"I talked to Claire for 15 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2010/12/03?\", \"15 minutes\"], [\"who did I talk to on 2010/12/03?\", \"Claire\"], [\"Did I talk to Claire on 2010/12/03?\", \"yes\"], [\"Did I talk to anyone on 2010/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1399\", \"logical_representation\": [\"2010/12/03\", \"Piper, Piper, Lydia\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Piper, Piper, Lydia for 32 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Lydia in the early evening on 2010/12/03?\", \"32 minutes\"], [\"who did I talk to on 2010/12/03?\", \"Piper, Piper, Lydia\"], [\"Did I talk to Piper, Piper, Lydia on 2010/12/03?\", \"yes\"], [\"Did I talk to anyone on 2010/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1400\", \"logical_representation\": [\"2010/12/03\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I watched a movie for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/03?\", \"32 minutes\"], [\"what did I watch on tv on 2010/12/03?\", \"a movie\"], [\"Did I watch tv on 2010/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/04\": {\"chat1\": {\"eid\": \"e1401\", \"logical_representation\": [\"2010/12/04\", \"Nora, Hazel\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Nora, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel late in the evening on 2010/12/04?\", \"33 minutes\"], [\"who did I talk to on 2010/12/04?\", \"Nora, Hazel\"], [\"Did I talk to Nora, Hazel on 2010/12/04?\", \"yes\"], [\"Did I talk to anyone on 2010/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1402\", \"logical_representation\": [\"2010/12/04\", \"a movie\", \"55 minutes\"], \"text_template_based\": \"I watched a movie for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/04?\", \"55 minutes\"], [\"what did I watch on tv on 2010/12/04?\", \"a movie\"], [\"Did I watch tv on 2010/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/05\": {\"exercise\": {\"eid\": \"e1403\", \"logical_representation\": [\"2010/12/05\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/12/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/05?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1404\", \"logical_representation\": [\"2010/12/05\", \"lunch\", \"sushi\", \"Hazel, Kinsley, Layla, Lydia, Piper, Olivia, Rylee, Piper, Nora\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/12/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1405\", \"logical_representation\": [\"2010/12/05\", \"Kinsley, Lydia, Nora\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia, Nora for 5 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Nora in the morning on 2010/12/05?\", \"5 minutes\"], [\"who did I talk to on 2010/12/05?\", \"Kinsley, Lydia, Nora\"], [\"Did I talk to Kinsley, Lydia, Nora on 2010/12/05?\", \"yes\"], [\"Did I talk to anyone on 2010/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1406\", \"logical_representation\": [\"2010/12/05\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/12/05?\", \"35 minutes\"], [\"what did I read on 2010/12/05?\", \"a book\"], [\"Did I read on 2010/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1407\", \"logical_representation\": [\"2010/12/05\", \"a tv series\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/05?\", \"51 minutes\"], [\"what did I watch on tv on 2010/12/05?\", \"a tv series\"], [\"Did I watch tv on 2010/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/06\": {\"lunch\": {\"eid\": \"e1408\", \"logical_representation\": [\"2010/12/06\", \"lunch\", \"steak\", \"Rylee, Nora, Piper, Avery, Hazel, Nevaeh\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/12/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1409\", \"logical_representation\": [\"2010/12/06\", \"dinner\", \"a burger\", \"Rylee, Kinsley, Nevaeh, Piper, Eva, Nora, Avery\"], \"text_template_based\": \"I had dinner with Rylee, Kinsley, Nevaeh, Piper, Eva, Nora, Avery. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/12/06?\", \"Rylee, Kinsley, Nevaeh, Piper, Eva, Nora, Avery\"], [\"what did I eat for dinner on 2010/12/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1410\", \"logical_representation\": [\"2010/12/06\", \"Piper, Eva, Lydia\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Lydia for 47 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Lydia during lunch hours on 2010/12/06?\", \"47 minutes\"], [\"who did I talk to on 2010/12/06?\", \"Piper, Eva, Lydia\"], [\"Did I talk to Piper, Eva, Lydia on 2010/12/06?\", \"yes\"], [\"Did I talk to anyone on 2010/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1411\", \"logical_representation\": [\"2010/12/06\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/12/06?\", \"13 minutes\"], [\"what did I read on 2010/12/06?\", \"news\"], [\"Did I read on 2010/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1412\", \"logical_representation\": [\"2010/12/06\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/06?\", \"12 minutes\"], [\"what did I watch on tv on 2010/12/06?\", \"a movie\"], [\"Did I watch tv on 2010/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/08\": {\"breakfast\": {\"eid\": \"e1418\", \"logical_representation\": [\"2010/12/08\", \"breakfast\", \"toast and cheese\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1419\", \"logical_representation\": [\"2010/12/08\", \"lunch\", \"chinese food\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had lunch with Avery, Benjamin, Jackson, Willow. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/12/08?\", \"Avery, Benjamin, Jackson, Willow\"], [\"what did I eat for lunch on 2010/12/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2010/12/09\": {\"breakfast\": {\"eid\": \"e1420\", \"logical_representation\": [\"2010/12/09\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1421\", \"logical_representation\": [\"2010/12/09\", \"lunch\", \"steak\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/12/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1422\", \"logical_representation\": [\"2010/12/09\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/12/09?\", \"49 minutes\"], [\"what did I read on 2010/12/09?\", \"social media\"], [\"Did I read on 2010/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1423\", \"logical_representation\": [\"2010/12/09\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/09?\", \"43 minutes\"], [\"what did I watch on tv on 2010/12/09?\", \"news\"], [\"Did I watch tv on 2010/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/10\": {\"exercise\": {\"eid\": \"e1424\", \"logical_representation\": [\"2010/12/10\", \"running\"], \"text_template_based\": \"I did running on 2010/12/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/10?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1425\", \"logical_representation\": [\"2010/12/10\", \"breakfast\", \"oatmeal\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/10\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1426\", \"logical_representation\": [\"2010/12/10\", \"Kinsley, Layla\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla for 5 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla in the early evening on 2010/12/10?\", \"5 minutes\"], [\"who did I talk to on 2010/12/10?\", \"Kinsley, Layla\"], [\"Did I talk to Kinsley, Layla on 2010/12/10?\", \"yes\"], [\"Did I talk to anyone on 2010/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1427\", \"logical_representation\": [\"2010/12/10\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/12/10?\", \"14 minutes\"], [\"what did I read on 2010/12/10?\", \"a book\"], [\"Did I read on 2010/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1428\", \"logical_representation\": [\"2010/12/10\", \"a tv series\", \"38 minutes\"], \"text_template_based\": \"I watched a tv series for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/10?\", \"38 minutes\"], [\"what did I watch on tv on 2010/12/10?\", \"a tv series\"], [\"Did I watch tv on 2010/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/11\": {\"breakfast\": {\"eid\": \"e1429\", \"logical_representation\": [\"2010/12/11\", \"breakfast\", \"oatmeal\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I had oatmeal for breakfast with Benjamin, Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/12/11?\", \"Benjamin, Avery, Jackson, Willow\"], [\"what did I eat for breakfast on 2010/12/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1430\", \"logical_representation\": [\"2010/12/11\", \"lunch\", \"tacos\", \"Nora, Claire, Hazel, Avery, Piper\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/12/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1431\", \"logical_representation\": [\"2010/12/11\", \"dinner\", \"chinese food\", \"Avery\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/12/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1432\", \"logical_representation\": [\"2010/12/11\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/12/11?\", \"34 minutes\"], [\"what did I read on 2010/12/11?\", \"news\"], [\"Did I read on 2010/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1433\", \"logical_representation\": [\"2010/12/11\", \"a documentary\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/11?\", \"18 minutes\"], [\"what did I watch on tv on 2010/12/11?\", \"a documentary\"], [\"Did I watch tv on 2010/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/12\": {\"breakfast\": {\"eid\": \"e1434\", \"logical_representation\": [\"2010/12/12\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Carter, Emily, Kayden. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/12/12?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for breakfast on 2010/12/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1435\", \"logical_representation\": [\"2010/12/12\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/12/12?\", \"6 minutes\"], [\"what did I read on 2010/12/12?\", \"a book\"], [\"Did I read on 2010/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/13\": {\"breakfast\": {\"eid\": \"e1436\", \"logical_representation\": [\"2010/12/13\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Layla, Avery, Rylee\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Lydia, Layla, Avery, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/12/13?\", \"Lydia, Layla, Avery, Rylee\"], [\"what did I eat for breakfast on 2010/12/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1437\", \"logical_representation\": [\"2010/12/13\", \"dinner\", \"sushi\", \"Claire, Piper, Hazel, Lydia, Eva\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/12/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1438\", \"logical_representation\": [\"2010/12/13\", \"Piper, Nevaeh, Avery\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Piper, Nevaeh, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Avery in the morning on 2010/12/13?\", \"30 minutes\"], [\"who did I talk to on 2010/12/13?\", \"Piper, Nevaeh, Avery\"], [\"Did I talk to Piper, Nevaeh, Avery on 2010/12/13?\", \"yes\"], [\"Did I talk to anyone on 2010/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1439\", \"logical_representation\": [\"2010/12/13\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/12/13?\", \"37 minutes\"], [\"what did I read on 2010/12/13?\", \"a book\"], [\"Did I read on 2010/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/14\": {\"exercise\": {\"eid\": \"e1440\", \"logical_representation\": [\"2010/12/14\", \"running\"], \"text_template_based\": \"I did running on 2010/12/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1441\", \"logical_representation\": [\"2010/12/14\", \"breakfast\", \"pancakes\", \"Emily, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1442\", \"logical_representation\": [\"2010/12/14\", \"lunch\", \"tacos\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/12/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1443\", \"logical_representation\": [\"2010/12/14\", \"dinner\", \"indian food\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/12/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1444\", \"logical_representation\": [\"2010/12/14\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/12/14?\", \"19 minutes\"], [\"what did I read on 2010/12/14?\", \"news\"], [\"Did I read on 2010/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/16\": {\"lunch\": {\"eid\": \"e1451\", \"logical_representation\": [\"2010/12/16\", \"lunch\", \"pasta\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/12/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1452\", \"logical_representation\": [\"2010/12/16\", \"dinner\", \"tacos\", \"Layla, Eva, Avery, Piper\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/12/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1453\", \"logical_representation\": [\"2010/12/16\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/16?\", \"16 minutes\"], [\"what did I watch on tv on 2010/12/16?\", \"news\"], [\"Did I watch tv on 2010/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/18\": {\"exercise\": {\"eid\": \"e1459\", \"logical_representation\": [\"2010/12/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/12/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1460\", \"logical_representation\": [\"2010/12/18\", \"lunch\", \"sandwich\", \"Benjamin, Willow\"], \"text_template_based\": \"I had sandwich for lunch with Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/12/18?\", \"Benjamin, Willow\"], [\"what did I eat for lunch on 2010/12/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1461\", \"logical_representation\": [\"2010/12/18\", \"Claire, Eva, Lydia, Olivia\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Claire, Eva, Lydia, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Lydia, Olivia in the morning on 2010/12/18?\", \"49 minutes\"], [\"who did I talk to on 2010/12/18?\", \"Claire, Eva, Lydia, Olivia\"], [\"Did I talk to Claire, Eva, Lydia, Olivia on 2010/12/18?\", \"yes\"], [\"Did I talk to anyone on 2010/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1462\", \"logical_representation\": [\"2010/12/18\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/12/18?\", \"13 minutes\"], [\"what did I read on 2010/12/18?\", \"news\"], [\"Did I read on 2010/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/19\": {\"dinner\": {\"eid\": \"e1463\", \"logical_representation\": [\"2010/12/19\", \"dinner\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/12/19?\", \"Carter\"], [\"what did I eat for dinner on 2010/12/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1464\", \"logical_representation\": [\"2010/12/19\", \"Hazel, Claire, Nevaeh, Rylee\", \"in the morning\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Hazel, Claire, Nevaeh, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Nevaeh, Rylee in the morning on 2010/12/19?\", \"21 minutes\"], [\"who did I talk to on 2010/12/19?\", \"Hazel, Claire, Nevaeh, Rylee\"], [\"Did I talk to Hazel, Claire, Nevaeh, Rylee on 2010/12/19?\", \"yes\"], [\"Did I talk to anyone on 2010/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1465\", \"logical_representation\": [\"2010/12/19\", \"Olivia, Eva\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I talked to Olivia, Eva for 23 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva during lunch hours on 2010/12/19?\", \"23 minutes\"], [\"who did I talk to on 2010/12/19?\", \"Olivia, Eva\"], [\"Did I talk to Olivia, Eva on 2010/12/19?\", \"yes\"], [\"Did I talk to anyone on 2010/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1466\", \"logical_representation\": [\"2010/12/19\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/12/19?\", \"14 minutes\"], [\"what did I read on 2010/12/19?\", \"news\"], [\"Did I read on 2010/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1467\", \"logical_representation\": [\"2010/12/19\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I watched a documentary for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/19?\", \"36 minutes\"], [\"what did I watch on tv on 2010/12/19?\", \"a documentary\"], [\"Did I watch tv on 2010/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/20\": {\"exercise\": {\"eid\": \"e1468\", \"logical_representation\": [\"2010/12/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/12/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1469\", \"logical_representation\": [\"2010/12/20\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/20\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1470\", \"logical_representation\": [\"2010/12/20\", \"dinner\", \"chinese food\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/12/20?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for dinner on 2010/12/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1471\", \"logical_representation\": [\"2010/12/20\", \"Avery, Layla, Nora, Claire\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Avery, Layla, Nora, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Nora, Claire in the late afternoon on 2010/12/20?\", \"13 minutes\"], [\"who did I talk to on 2010/12/20?\", \"Avery, Layla, Nora, Claire\"], [\"Did I talk to Avery, Layla, Nora, Claire on 2010/12/20?\", \"yes\"], [\"Did I talk to anyone on 2010/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1472\", \"logical_representation\": [\"2010/12/20\", \"a documentary\", \"29 minutes\"], \"text_template_based\": \"I watched a documentary for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/20?\", \"29 minutes\"], [\"what did I watch on tv on 2010/12/20?\", \"a documentary\"], [\"Did I watch tv on 2010/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/21\": {\"exercise\": {\"eid\": \"e1473\", \"logical_representation\": [\"2010/12/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/12/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1474\", \"logical_representation\": [\"2010/12/21\", \"breakfast\", \"toast and cheese\", \"Jackson, Avery\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1475\", \"logical_representation\": [\"2010/12/21\", \"dinner\", \"sushi\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/12/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1476\", \"logical_representation\": [\"2010/12/21\", \"Rylee\", \"in the early evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2010/12/21?\", \"21 minutes\"], [\"who did I talk to on 2010/12/21?\", \"Rylee\"], [\"Did I talk to Rylee on 2010/12/21?\", \"yes\"], [\"Did I talk to anyone on 2010/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1477\", \"logical_representation\": [\"2010/12/21\", \"Claire, Rylee, Piper, Layla\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Claire, Rylee, Piper, Layla for 47 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Piper, Layla in the early afternoon on 2010/12/21?\", \"47 minutes\"], [\"who did I talk to on 2010/12/21?\", \"Claire, Rylee, Piper, Layla\"], [\"Did I talk to Claire, Rylee, Piper, Layla on 2010/12/21?\", \"yes\"], [\"Did I talk to anyone on 2010/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/23\": {\"dinner\": {\"eid\": \"e1484\", \"logical_representation\": [\"2010/12/23\", \"dinner\", \"indian food\", \"Avery, Lydia, Rylee, Nora, Piper, Layla, Eva, Piper, Hazel, Olivia, Kinsley, Claire, Nevaeh\"], \"text_template_based\": \"I had dinner with Avery, Lydia, Rylee, Nora, Piper, Layla, Eva, Piper, Hazel, Olivia, Kinsley, Claire, Nevaeh. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/12/23?\", \"Avery, Lydia, Rylee, Nora, Piper, Layla, Eva, Piper, Hazel, Olivia, Kinsley, Claire, Nevaeh\"], [\"what did I eat for dinner on 2010/12/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1485\", \"logical_representation\": [\"2010/12/23\", \"Claire, Kinsley, Olivia\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Claire, Kinsley, Olivia for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Olivia late in the evening on 2010/12/23?\", \"37 minutes\"], [\"who did I talk to on 2010/12/23?\", \"Claire, Kinsley, Olivia\"], [\"Did I talk to Claire, Kinsley, Olivia on 2010/12/23?\", \"yes\"], [\"Did I talk to anyone on 2010/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1486\", \"logical_representation\": [\"2010/12/23\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/23?\", \"10 minutes\"], [\"what did I watch on tv on 2010/12/23?\", \"a tv series\"], [\"Did I watch tv on 2010/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/24\": {\"lunch\": {\"eid\": \"e1487\", \"logical_representation\": [\"2010/12/24\", \"lunch\", \"pasta\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had pasta for lunch with Kayden, Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/12/24?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2010/12/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1488\", \"logical_representation\": [\"2010/12/24\", \"Rylee\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I talked to Rylee for 7 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2010/12/24?\", \"7 minutes\"], [\"who did I talk to on 2010/12/24?\", \"Rylee\"], [\"Did I talk to Rylee on 2010/12/24?\", \"yes\"], [\"Did I talk to anyone on 2010/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1489\", \"logical_representation\": [\"2010/12/24\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/12/24?\", \"29 minutes\"], [\"what did I read on 2010/12/24?\", \"news\"], [\"Did I read on 2010/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/25\": {\"lunch\": {\"eid\": \"e1490\", \"logical_representation\": [\"2010/12/25\", \"lunch\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/12/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1491\", \"logical_representation\": [\"2010/12/25\", \"dinner\", \"sushi\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner with Emily, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/12/25?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2010/12/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1492\", \"logical_representation\": [\"2010/12/25\", \"Nevaeh, Kinsley\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Nevaeh, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley in the early afternoon on 2010/12/25?\", \"27 minutes\"], [\"who did I talk to on 2010/12/25?\", \"Nevaeh, Kinsley\"], [\"Did I talk to Nevaeh, Kinsley on 2010/12/25?\", \"yes\"], [\"Did I talk to anyone on 2010/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1493\", \"logical_representation\": [\"2010/12/25\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/12/25?\", \"30 minutes\"], [\"what did I read on 2010/12/25?\", \"news\"], [\"Did I read on 2010/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1494\", \"logical_representation\": [\"2010/12/25\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/25?\", \"42 minutes\"], [\"what did I watch on tv on 2010/12/25?\", \"news\"], [\"Did I watch tv on 2010/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/26\": {\"exercise\": {\"eid\": \"e1495\", \"logical_representation\": [\"2010/12/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/12/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1496\", \"logical_representation\": [\"2010/12/26\", \"breakfast\", \"oatmeal\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1497\", \"logical_representation\": [\"2010/12/26\", \"lunch\", \"sushi\", \"Jackson, Willow\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/12/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1498\", \"logical_representation\": [\"2010/12/26\", \"dinner\", \"indian food\", \"Avery, Eva, Claire\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/12/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1499\", \"logical_representation\": [\"2010/12/26\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/26?\", \"13 minutes\"], [\"what did I watch on tv on 2010/12/26?\", \"news\"], [\"Did I watch tv on 2010/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/27\": {\"lunch\": {\"eid\": \"e1500\", \"logical_representation\": [\"2010/12/27\", \"lunch\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/12/27?\", \"Kayden\"], [\"what did I eat for lunch on 2010/12/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1501\", \"logical_representation\": [\"2010/12/27\", \"news\", \"14 minutes\"], \"text_template_based\": \"I watched news for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/27?\", \"14 minutes\"], [\"what did I watch on tv on 2010/12/27?\", \"news\"], [\"Did I watch tv on 2010/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/28\": {\"lunch\": {\"eid\": \"e1502\", \"logical_representation\": [\"2010/12/28\", \"lunch\", \"sushi\", \"Benjamin, Willow\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/12/28\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2010/12/30\": {\"exercise\": {\"eid\": \"e1508\", \"logical_representation\": [\"2010/12/30\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/12/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/30?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1509\", \"logical_representation\": [\"2010/12/30\", \"breakfast\", \"pancakes\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1510\", \"logical_representation\": [\"2010/12/30\", \"lunch\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had indian food for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/12/30?\", \"Carter\"], [\"what did I eat for lunch on 2010/12/30\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2011/01/01\": {\"read\": {\"eid\": \"e1513\", \"logical_representation\": [\"2011/01/01\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/01/01?\", \"44 minutes\"], [\"what did I read on 2011/01/01?\", \"a book\"], [\"Did I read on 2011/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1648\", \"logical_representation\": [\"2011/01/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/01/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1649\", \"logical_representation\": [\"2011/01/01\", \"lunch\", \"sushi\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1650\", \"logical_representation\": [\"2011/01/01\", \"dinner\", \"a burger\", \"Rylee, Hazel, Layla, Eva, Piper\"], \"text_template_based\": \"I had a burger for dinner with Rylee, Hazel, Layla, Eva, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/01/01?\", \"Rylee, Hazel, Layla, Eva, Piper\"], [\"what did I eat for dinner on 2011/01/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1651\", \"logical_representation\": [\"2011/01/01\", \"Kinsley\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Kinsley for 27 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2011/01/01?\", \"27 minutes\"], [\"who did I talk to on 2011/01/01?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2011/01/01?\", \"yes\"], [\"Did I talk to anyone on 2011/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/14\": {\"travel\": {\"eid\": \"e1514\", \"logical_representation\": [\"2011/02/14\", \"2011/02/27\", [\"Kayden\", \"Emily\"], \"Shanghai, China\"], \"text_template_based\": \"On 2011/02/14 Kayden, Emily and I went to Shanghai, China together for 13 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Shanghai, China on 2011/02/14?\", \"Kayden, Emily\"], [\"who did I go with to Shanghai, China?\", \"Kayden, Emily\"], [\"where did I go on 2011/02/14?\", \"Shanghai, China\"], [\"when did I go to Shanghai, China?\", \"2011/02/14\"], [\"when did I go to Shanghai, China with Kayden, Emily ?\", \"2011/02/14\"], [\"How long did I stay in Shanghai, China?\", \"13\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1819\", \"logical_representation\": [\"2011/02/14\", \"lunch\", \"sushi\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had lunch with Avery, Jackson, Benjamin, Willow. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/02/14?\", \"Avery, Jackson, Benjamin, Willow\"], [\"what did I eat for lunch on 2011/02/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1820\", \"logical_representation\": [\"2011/02/14\", \"Hazel, Lydia\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia for 38 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia in the early afternoon on 2011/02/14?\", \"38 minutes\"], [\"who did I talk to on 2011/02/14?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2011/02/14?\", \"yes\"], [\"Did I talk to anyone on 2011/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1821\", \"logical_representation\": [\"2011/02/14\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/14?\", \"32 minutes\"], [\"what did I watch on tv on 2011/02/14?\", \"a documentary\"], [\"Did I watch tv on 2011/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/15\": {\"dining\": {\"eid\": \"e1515\", \"logical_representation\": [\"2011/02/15\", [\"Kayden\", \"Emily\"], \"Italian food\", \"Fangbang Xi Lu\"], \"text_template_based\": \"I ate Italian food at Fangbang Xi Lu with Kayden, Emily on  2011/02/15 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Fangbang Xi Lu ?\", \"Kayden, Emily\"], [\"who did I eat Italian food with?\", \"Kayden, Emily\"], [\"where did we eat Italian food during our trip to Shanghai, China on  2011/02/15?\", \"Fangbang Xi Lu\"], [\"when did we eat Italian food at Fangbang Xi Lu during our trip to Shanghai, China?\", \"2011/02/15\"], [\"when did we eat at Fangbang Xi Lu?\", \"2011/02/15\"], [\"when did we eat Italian food?\", \"2011/02/15\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1822\", \"logical_representation\": [\"2011/02/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/02/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1823\", \"logical_representation\": [\"2011/02/15\", \"lunch\", \"a burger\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/02/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1824\", \"logical_representation\": [\"2011/02/15\", \"dinner\", \"indian food\", \"Rylee, Hazel, Lydia, Eva, Olivia, Piper, Piper, Claire, Kinsley, Avery, Nevaeh, Layla, Nora\"], \"text_template_based\": \"I had indian food for dinner with Rylee, Hazel, Lydia, Eva, Olivia, Piper, Piper, Claire, Kinsley, Avery, Nevaeh, Layla, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 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\"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/15?\", \"41 minutes\"], [\"what did I watch on tv on 2011/02/15?\", \"news\"], [\"Did I watch tv on 2011/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/16\": {\"dining\": {\"eid\": \"e1516\", \"logical_representation\": [\"2011/02/16\", [\"Kayden\", \"Emily\"], \"Indian food\", \"Fangbang Xi Lu\"], \"text_template_based\": \"I ate Indian food at Fangbang Xi Lu with Kayden, Emily on  2011/02/16 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Fangbang Xi Lu ?\", \"Kayden, Emily\"], [\"who did I eat Indian food with?\", \"Kayden, Emily\"], [\"where did we eat Indian food during our trip to Shanghai, China on  2011/02/16?\", \"Fangbang Xi Lu\"], [\"when did we eat Indian food at Fangbang Xi Lu during our trip to Shanghai, China?\", \"2011/02/16\"], [\"when did we eat at Fangbang Xi Lu?\", \"2011/02/16\"], [\"when did we eat Indian food?\", \"2011/02/16\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e1539\", \"logical_representation\": [\"2011/02/16\", \"Hazel\", \"a restaurant\"], \"text_template_based\": \"On 2011/02/16, I took Hazel on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/02/16\", \"Hazel\"], [\"where did I go for the date on 2011/02/16\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1827\", \"logical_representation\": [\"2011/02/16\", \"dinner\", \"sushi\", \"Avery, Nevaeh, Nora, Eva, Rylee, Hazel, Piper, Olivia, Kinsley, Layla\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/02/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1828\", \"logical_representation\": [\"2011/02/16\", \"a tv series\", \"15 minutes\"], \"text_template_based\": \"I watched a tv series for 15 minutes on TV 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\"2011/02/17\"], [\"when did we eat at South Bund Fabric Market?\", \"2011/02/17\"], [\"when did we eat Italian food?\", \"2011/02/17\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1829\", \"logical_representation\": [\"2011/02/17\", \"dinner\", \"chinese food\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/02/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1830\", \"logical_representation\": [\"2011/02/17\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/02/17?\", \"16 minutes\"], [\"what did I read on 2011/02/17?\", \"a book\"], [\"Did I read on 2011/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/18\": {\"dining\": {\"eid\": \"e1518\", \"logical_representation\": [\"2011/02/18\", [\"Kayden\", \"Emily\"], \"Italian food\", \"Fangbang Xi Lu\"], \"text_template_based\": \"I ate Italian food at Fangbang Xi Lu with Kayden, Emily on  2011/02/18 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Fangbang Xi Lu ?\", \"Kayden, Emily\"], [\"who did I eat Italian food with?\", \"Kayden, Emily\"], [\"where did we eat Italian food during our trip to Shanghai, China on  2011/02/18?\", \"Fangbang Xi Lu\"], [\"when did we eat Italian food at Fangbang Xi Lu during our trip to Shanghai, China?\", \"2011/02/18\"], [\"when did we eat at Fangbang Xi Lu?\", \"2011/02/18\"], [\"when did we eat Italian food?\", \"2011/02/18\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1831\", \"logical_representation\": [\"2011/02/18\", \"lunch\", \"fish and chips\", \"Piper, Nora, Nevaeh, Kinsley, Claire\"], \"text_template_based\": \"I had lunch with Piper, Nora, Nevaeh, Kinsley, Claire. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/02/18?\", \"Piper, Nora, Nevaeh, Kinsley, Claire\"], [\"what did I eat for lunch on 2011/02/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1832\", \"logical_representation\": [\"2011/02/18\", \"Hazel\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2011/02/18?\", \"45 minutes\"], [\"who did I talk to on 2011/02/18?\", \"Hazel\"], [\"Did I talk to Hazel on 2011/02/18?\", \"yes\"], [\"Did I talk to anyone on 2011/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1833\", \"logical_representation\": [\"2011/02/18\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/18?\", \"9 minutes\"], [\"what did I watch on tv on 2011/02/18?\", \"a documentary\"], [\"Did I watch tv on 2011/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/19\": {\"dining\": {\"eid\": \"e1519\", \"logical_representation\": [\"2011/02/19\", [\"Kayden\", \"Emily\"], \"street food\", \"South Bund Fabric Market\"], \"text_template_based\": \"I ate street food at South Bund Fabric Market with Kayden, Emily on  2011/02/19 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat street food with at South Bund Fabric Market ?\", \"Kayden, Emily\"], [\"who did I eat street food with?\", \"Kayden, Emily\"], [\"where did we eat street food during our trip to Shanghai, China on  2011/02/19?\", \"South Bund Fabric Market\"], [\"when did we eat street food at South Bund Fabric Market during our trip to Shanghai, China?\", \"2011/02/19\"], [\"when did we eat at South Bund Fabric Market?\", \"2011/02/19\"], [\"when did we eat street food?\", \"2011/02/19\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e1540\", \"logical_representation\": [\"2011/02/19\", \"Joseph\", \"a coffee Shop\"], \"text_template_based\": \"On 2011/02/19, I took Joseph on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/02/19\", \"Joseph\"], [\"where did I go for the date on 2011/02/19\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1834\", \"logical_representation\": [\"2011/02/19\", \"breakfast\", \"cereals\", \"Nora, Piper, Hazel, Olivia, Lydia, Rylee, Kinsley, Layla, Claire, Avery\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/02/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1835\", \"logical_representation\": [\"2011/02/19\", \"lunch\", \"pasta\", \"Eva, Lydia, Avery, Piper, Olivia, Layla, Nora, Hazel\"], \"text_template_based\": \"I had pasta for lunch with Eva, Lydia, Avery, Piper, Olivia, Layla, Nora, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/02/19?\", \"Eva, Lydia, Avery, Piper, Olivia, Layla, Nora, Hazel\"], [\"what did I eat for lunch on 2011/02/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1836\", \"logical_representation\": [\"2011/02/19\", \"Piper, Hazel, Nora\", \"in the early evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Nora for 13 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Nora in the early evening on 2011/02/19?\", \"13 minutes\"], [\"who did I talk to on 2011/02/19?\", \"Piper, Hazel, Nora\"], [\"Did I talk to Piper, Hazel, Nora on 2011/02/19?\", \"yes\"], [\"Did I talk to anyone on 2011/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/20\": {\"dining\": {\"eid\": \"e1520\", \"logical_representation\": [\"2011/02/20\", [\"Kayden\", \"Emily\"], \"Japanese food\", \"Yuyuan Lu junction\"], \"text_template_based\": \"I ate Japanese food at Yuyuan Lu junction with Kayden, Emily on  2011/02/20 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Yuyuan Lu junction ?\", \"Kayden, Emily\"], [\"who did I eat Japanese food with?\", \"Kayden, Emily\"], [\"where did we eat Japanese food during our trip to Shanghai, China on  2011/02/20?\", \"Yuyuan Lu junction\"], [\"when did we eat Japanese food at Yuyuan Lu junction during our trip to Shanghai, China?\", \"2011/02/20\"], [\"when did we eat at Yuyuan Lu junction?\", \"2011/02/20\"], [\"when did we eat Japanese food?\", \"2011/02/20\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1837\", \"logical_representation\": [\"2011/02/20\", \"dinner\", \"steak\", \"Carter\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/02/20\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1838\", \"logical_representation\": [\"2011/02/20\", \"Lydia\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Lydia for 5 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2011/02/20?\", \"5 minutes\"], [\"who did I talk to on 2011/02/20?\", \"Lydia\"], [\"Did I talk to Lydia on 2011/02/20?\", \"yes\"], [\"Did I talk to anyone on 2011/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1839\", \"logical_representation\": [\"2011/02/20\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a documentary 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did we eat at Wanhangdu Lu junction?\", \"2011/02/22\"], [\"when did we eat Indian food?\", \"2011/02/22\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1844\", \"logical_representation\": [\"2011/02/22\", \"lunch\", \"fish and chips\", \"Piper, Rylee, Layla, Hazel, Piper, Nevaeh, Claire, Nora\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/02/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1845\", \"logical_representation\": [\"2011/02/22\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/22?\", \"5 minutes\"], [\"what did I watch on tv on 2011/02/22?\", \"a tv series\"], [\"Did I watch tv on 2011/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/23\": {\"dining\": {\"eid\": \"e1522\", \"logical_representation\": [\"2011/02/23\", [\"Kayden\", \"Emily\"], \"Chinese food\", \"South Bund Fabric Market\"], \"text_template_based\": \"I ate Chinese food at South Bund Fabric Market with Kayden, Emily on  2011/02/23 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at South Bund Fabric Market ?\", \"Kayden, Emily\"], [\"who did I eat Chinese food with?\", \"Kayden, Emily\"], [\"where did we eat Chinese food during our trip to Shanghai, China on  2011/02/23?\", \"South Bund Fabric Market\"], [\"when did we eat Chinese food at South Bund Fabric Market during our trip to Shanghai, China?\", \"2011/02/23\"], [\"when did we eat at South Bund Fabric Market?\", \"2011/02/23\"], [\"when did we eat Chinese food?\", \"2011/02/23\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1846\", \"logical_representation\": [\"2011/02/23\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/02/23?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2011/02/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1847\", \"logical_representation\": [\"2011/02/23\", \"dinner\", \"fish and chips\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/02/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1848\", \"logical_representation\": [\"2011/02/23\", \"a movie\", \"38 minutes\"], \"text_template_based\": \"I watched a movie for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/23?\", \"38 minutes\"], [\"what did I watch on tv on 2011/02/23?\", \"a movie\"], [\"Did I watch tv on 2011/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/24\": {\"dining\": {\"eid\": \"e1523\", \"logical_representation\": [\"2011/02/24\", [\"Kayden\", \"Emily\"], \"local food\", \"South Bund Fabric Market\"], \"text_template_based\": \"I ate local food at South Bund Fabric Market with Kayden, Emily on  2011/02/24 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at South Bund Fabric Market ?\", \"Kayden, Emily\"], [\"who did I eat local food with?\", \"Kayden, Emily\"], [\"where did we eat local food during our trip to Shanghai, China on  2011/02/24?\", \"South Bund Fabric Market\"], [\"when did we eat local food at South Bund Fabric Market during our trip to Shanghai, China?\", \"2011/02/24\"], [\"when did we eat at South Bund Fabric Market?\", \"2011/02/24\"], [\"when did we eat local food?\", \"2011/02/24\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1849\", \"logical_representation\": [\"2011/02/24\", \"lunch\", \"fish and chips\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/02/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2011/02/26\": {\"dining\": {\"eid\": \"e1524\", \"logical_representation\": [\"2011/02/26\", [\"Kayden\", \"Emily\"], \"Indian food\", \"Yuyuan Lu junction\"], \"text_template_based\": \"I ate Indian food at Yuyuan Lu junction with Kayden, Emily on  2011/02/26 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Yuyuan Lu junction ?\", \"Kayden, Emily\"], [\"who did I eat Indian food with?\", \"Kayden, Emily\"], [\"where did we eat Indian food during our trip to Shanghai, China on  2011/02/26?\", \"Yuyuan Lu junction\"], [\"when did we eat Indian food at Yuyuan Lu junction during our trip to Shanghai, China?\", \"2011/02/26\"], [\"when did we eat at Yuyuan Lu junction?\", \"2011/02/26\"], [\"when did we eat Indian food?\", \"2011/02/26\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1852\", \"logical_representation\": [\"2011/02/26\", \"Rylee, Nevaeh, Nora, Hazel\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Rylee, Nevaeh, Nora, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Nora, Hazel in the early evening on 2011/02/26?\", \"37 minutes\"], [\"who did I talk to on 2011/02/26?\", \"Rylee, Nevaeh, Nora, Hazel\"], [\"Did I talk to Rylee, Nevaeh, Nora, Hazel on 2011/02/26?\", \"yes\"], [\"Did I talk to anyone on 2011/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1853\", \"logical_representation\": [\"2011/02/26\", \"Eva, Lydia\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Eva, Lydia for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia in the early afternoon on 2011/02/26?\", \"7 minutes\"], [\"who did I talk to on 2011/02/26?\", \"Eva, Lydia\"], [\"Did I talk to Eva, Lydia on 2011/02/26?\", \"yes\"], [\"Did I talk to anyone on 2011/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1854\", \"logical_representation\": [\"2011/02/26\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/02/26?\", \"23 minutes\"], [\"what did I read on 2011/02/26?\", \"a book\"], [\"Did I read on 2011/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1855\", \"logical_representation\": [\"2011/02/26\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/26?\", \"6 minutes\"], [\"what did I watch on tv on 2011/02/26?\", \"a tv series\"], [\"Did I watch tv on 2011/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/27\": {\"dining\": {\"eid\": \"e1525\", \"logical_representation\": [\"2011/02/27\", [\"Kayden\", \"Emily\"], \"Chinese food\", \"Fangbang Xi Lu\"], \"text_template_based\": \"I ate Chinese food at Fangbang Xi Lu with Kayden, Emily on  2011/02/27 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Fangbang Xi Lu ?\", \"Kayden, Emily\"], [\"who did I eat Chinese food with?\", \"Kayden, Emily\"], [\"where did we eat Chinese food during our trip to Shanghai, China on  2011/02/27?\", \"Fangbang Xi Lu\"], [\"when did we eat Chinese food at Fangbang Xi Lu during our trip to Shanghai, China?\", \"2011/02/27\"], [\"when did we eat at Fangbang Xi Lu?\", \"2011/02/27\"], [\"when did we eat Chinese food?\", \"2011/02/27\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1856\", \"logical_representation\": [\"2011/02/27\", \"dinner\", \"tacos\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/02/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1857\", \"logical_representation\": [\"2011/02/27\", \"Nevaeh, Avery\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Nevaeh, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery in the early afternoon on 2011/02/27?\", \"42 minutes\"], [\"who did I talk to on 2011/02/27?\", \"Nevaeh, Avery\"], [\"Did I talk to Nevaeh, Avery on 2011/02/27?\", \"yes\"], [\"Did I talk to anyone on 2011/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1858\", \"logical_representation\": [\"2011/02/27\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/02/27?\", \"25 minutes\"], [\"what did I read on 2011/02/27?\", \"social media\"], [\"Did I read on 2011/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1859\", \"logical_representation\": [\"2011/02/27\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/27?\", \"26 minutes\"], [\"what did I watch on tv on 2011/02/27?\", \"a tv series\"], [\"Did I watch tv on 2011/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/07\": {\"personal_medical_care\": {\"eid\": \"e1527\", \"logical_representation\": [\"2011/03/07\", \"I went for an annual dental cleaning and checkup on 2011/03/07 at the hospital.\", \"hospital\"], \"text_template_based\": \"I went for an annual dental cleaning and checkup on 2011/03/07 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual dental cleaning and checkup in 2011?\", \"2011/03/07\"], [\"where did I go for an annual dental cleaning and checkup on 2011/03/07\", \"hospital\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1888\", \"logical_representation\": [\"2011/03/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/03/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1889\", \"logical_representation\": [\"2011/03/07\", \"lunch\", \"fish and chips\", \"Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/03/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1890\", \"logical_representation\": [\"2011/03/07\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/03/07?\", \"51 minutes\"], [\"what did I read on 2011/03/07?\", \"social media\"], [\"Did I read on 2011/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1891\", \"logical_representation\": [\"2011/03/07\", \"a movie\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/07?\", \"15 minutes\"], [\"what did I watch on tv on 2011/03/07?\", \"a movie\"], [\"Did I watch tv on 2011/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/14\": {\"parent_medical_care\": {\"eid\": \"e1528\", \"logical_representation\": [\"2011/12/14\", \"I took my parents for their for an annual physical checkup on 2011/12/14 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I took my parents for their for an annual physical checkup on 2011/12/14 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2011?\", \"2011/12/14\"], [\"what did I do on 2011/12/14\", \"I took my parents for their for an annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e1640\", \"logical_representation\": [\"2011/12/14\", \"Christophe\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Christophe on 2011/12/14 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/12/14\", \"Christophe\"], [\"where did I go for the date on 2011/12/14\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2975\", \"logical_representation\": [\"2011/12/14\", \"breakfast\", \"oatmeal\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2976\", \"logical_representation\": [\"2011/12/14\", \"Nora\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Nora for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2011/12/14?\", \"31 minutes\"], [\"who did I talk to on 2011/12/14?\", \"Nora\"], [\"Did I talk to Nora on 2011/12/14?\", \"yes\"], [\"Did I talk to anyone on 2011/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2977\", \"logical_representation\": [\"2011/12/14\", \"Nora, Hazel\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nora, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel in the late afternoon on 2011/12/14?\", \"29 minutes\"], [\"who did I talk to on 2011/12/14?\", \"Nora, Hazel\"], [\"Did I talk to Nora, Hazel on 2011/12/14?\", \"yes\"], [\"Did I talk to anyone on 2011/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/10\": {\"parent_medical_care\": {\"eid\": \"e1529\", \"logical_representation\": [\"2011/09/10\", \"my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2011/09/10.\", \"hospital\"], \"text_template_based\": \"my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2011/09/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2011?\", \"2011/09/10\"], [\"what did I do on 2011/09/10\", \"I took my parents for their for an  annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2625\", \"logical_representation\": [\"2011/09/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/09/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2626\", \"logical_representation\": [\"2011/09/10\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Andrew. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/09/10?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for breakfast on 2011/09/10\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2627\", \"logical_representation\": [\"2011/09/10\", \"lunch\", \"chinese food\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had lunch with Avery, Benjamin, Jackson. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/09/10?\", \"Avery, Benjamin, Jackson\"], [\"what did I eat for lunch on 2011/09/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2628\", \"logical_representation\": [\"2011/09/10\", \"dinner\", \"fish and chips\", \"Jackson, Willow\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/09/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2629\", \"logical_representation\": [\"2011/09/10\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/09/10?\", \"49 minutes\"], [\"what did I read on 2011/09/10?\", \"news\"], [\"Did I read on 2011/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2630\", \"logical_representation\": [\"2011/09/10\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/10?\", \"12 minutes\"], [\"what did I watch on tv on 2011/09/10?\", \"a movie\"], [\"Did I watch tv on 2011/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/04\": {\"dating\": {\"eid\": \"e1530\", \"logical_representation\": [\"2011/01/04\", \"Dylan\", \"a park\"], \"text_template_based\": \"On 2011/01/04, I took Dylan on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/01/04\", \"Dylan\"], [\"where did I go for the date on 2011/01/04\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1660\", \"logical_representation\": [\"2011/01/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/01/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1661\", \"logical_representation\": [\"2011/01/04\", \"Olivia\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Olivia for 6 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2011/01/04?\", \"6 minutes\"], [\"who did I talk to on 2011/01/04?\", \"Olivia\"], [\"Did I talk to Olivia on 2011/01/04?\", \"yes\"], [\"Did I talk to anyone on 2011/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1662\", \"logical_representation\": [\"2011/01/04\", \"Hazel, Eva, Rylee\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Hazel, Eva, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Eva, Rylee late in the evening on 2011/01/04?\", \"40 minutes\"], [\"who did I talk to on 2011/01/04?\", \"Hazel, Eva, Rylee\"], [\"Did I talk to Hazel, Eva, Rylee on 2011/01/04?\", \"yes\"], [\"Did I talk to anyone on 2011/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1663\", \"logical_representation\": [\"2011/01/04\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/01/04?\", \"54 minutes\"], [\"what did I read on 2011/01/04?\", \"news\"], [\"Did I read on 2011/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/06\": {\"hobbies\": {\"eid\": \"e1531\", \"logical_representation\": [\"2011/01/06\", \"I spent time meditation on 2011/01/06 with Emily, Andrew, Carter.\", \"meditation\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I spent time meditation on 2011/01/06 with Emily, Andrew, Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Emily, Andrew, Carter?\", \"2011/01/06\"], [\"On 2011/01/06, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2011/01/06?\", \"Emily, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1668\", \"logical_representation\": [\"2011/01/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/01/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1669\", \"logical_representation\": [\"2011/01/06\", \"lunch\", \"sushi\", \"Carter\"], \"text_template_based\": \"I had sushi for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/01/06?\", \"Carter\"], [\"what did I eat for lunch on 2011/01/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1670\", \"logical_representation\": [\"2011/01/06\", \"dinner\", \"steak\", \"Kayden\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/01/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1671\", \"logical_representation\": [\"2011/01/06\", \"Nora, Piper, Claire, Nevaeh\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Claire, Nevaeh for 7 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Claire, Nevaeh in the morning on 2011/01/06?\", \"7 minutes\"], [\"who did I talk to on 2011/01/06?\", \"Nora, Piper, Claire, Nevaeh\"], [\"Did I talk to Nora, Piper, Claire, Nevaeh on 2011/01/06?\", \"yes\"], [\"Did I talk to anyone on 2011/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1672\", \"logical_representation\": [\"2011/01/06\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/01/06?\", \"25 minutes\"], [\"what did I read on 2011/01/06?\", \"news\"], [\"Did I read on 2011/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1673\", \"logical_representation\": [\"2011/01/06\", \"a movie\", \"34 minutes\"], \"text_template_based\": \"I watched a movie for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/06?\", \"34 minutes\"], [\"what did I watch on tv on 2011/01/06?\", \"a movie\"], [\"Did I watch tv on 2011/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/11\": {\"hobbies\": {\"eid\": \"e1532\", \"logical_representation\": [\"2011/01/11\", \"I spent time learning a language on 2011/01/11 with Piper.\", \"learning a language\", \"Piper\"], \"text_template_based\": \"I spent time learning a language on 2011/01/11 with Piper.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Piper?\", \"2011/01/11\"], [\"On 2011/01/11, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2011/01/11?\", \"Piper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1693\", \"logical_representation\": [\"2011/01/11\", \"breakfast\", \"pancakes\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/01/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1694\", \"logical_representation\": [\"2011/01/11\", \"Eva, Avery, Lydia, Hazel\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Eva, Avery, Lydia, Hazel for 32 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Lydia, Hazel in the late afternoon on 2011/01/11?\", \"32 minutes\"], [\"who did I talk to on 2011/01/11?\", \"Eva, Avery, Lydia, Hazel\"], [\"Did I talk to Eva, Avery, Lydia, Hazel on 2011/01/11?\", \"yes\"], [\"Did I talk to anyone on 2011/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/16\": {\"grocery\": {\"eid\": \"e1533\", \"logical_representation\": [\"2011/01/16\", \"I bought some peaches, tea, coffee, body lotion from the grocery store. I saw Willow at the grocery store.\", \"peaches\", \"tea, coffee\", \"body lotion\", \"Willow\"], \"text_template_based\": \"I bought some peaches, tea, coffee, body lotion from the grocery store. I saw Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/01/16?\", \"peaches, tea, coffee, and body lotion\"], [\"what fruits did I buy from the grocery store on 2011/01/16?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2011/01/16?\", \"tea, coffee\"], [\"what toiletries did I buy from the grocery store on 2011/01/16?\", \"body lotion\"], [\"who did I see at the grocery store on 2011/01/16?\", \"Willow\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1708\", \"logical_representation\": [\"2011/01/16\", \"lunch\", \"steak\", \"Nora, Hazel, Avery\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1709\", \"logical_representation\": [\"2011/01/16\", \"Olivia, Hazel, Piper, Eva\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I talked to Olivia, Hazel, Piper, Eva for 33 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Piper, Eva in the morning on 2011/01/16?\", \"33 minutes\"], [\"who did I talk to on 2011/01/16?\", \"Olivia, Hazel, Piper, Eva\"], [\"Did I talk to Olivia, Hazel, Piper, Eva on 2011/01/16?\", \"yes\"], [\"Did I talk to anyone on 2011/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1710\", \"logical_representation\": [\"2011/01/16\", \"Nevaeh, Eva\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Nevaeh, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva in the late afternoon on 2011/01/16?\", \"19 minutes\"], [\"who did I talk to on 2011/01/16?\", \"Nevaeh, Eva\"], [\"Did I talk to Nevaeh, Eva on 2011/01/16?\", \"yes\"], [\"Did I talk to anyone on 2011/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1711\", \"logical_representation\": [\"2011/01/16\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/01/16?\", \"9 minutes\"], [\"what did I read on 2011/01/16?\", \"news\"], [\"Did I read on 2011/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1712\", \"logical_representation\": [\"2011/01/16\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I watched a tv series for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/16?\", \"35 minutes\"], [\"what did I watch on tv on 2011/01/16?\", \"a tv series\"], [\"Did I watch tv on 2011/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/29\": {\"hobbies\": {\"eid\": \"e1534\", \"logical_representation\": [\"2011/01/29\", \"I spent some time working out on 2011/01/29.\", \"working out\", \"Andrew\"], \"text_template_based\": \"I spent some time working out on 2011/01/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2011/01/29\"], [\"On 2011/01/29, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1535\", \"logical_representation\": [\"2011/01/29\", \"I went grocery shopping. I bought some mangos, watermelons, blackberries, pineapples, apple juice, mango juice, and toilet paper, conditioner\", \"mangos, watermelons, blackberries, pineapples\", \"apple juice, mango juice\", \"toilet paper, conditioner\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, watermelons, blackberries, pineapples, apple juice, mango juice, and toilet paper, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/01/29?\", \"mangos, watermelons, blackberries, pineapples, apple juice, mango juice, and toilet paper, conditioner\"], [\"what fruits did I buy from the grocery store on 2011/01/29?\", \"mangos, watermelons, blackberries, pineapples\"], [\"what drinks did I buy from the grocery store on 2011/01/29?\", \"apple juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2011/01/29?\", \"toilet paper, conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1757\", \"logical_representation\": [\"2011/01/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/01/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1758\", \"logical_representation\": [\"2011/01/29\", \"lunch\", \"sandwich\", \"Olivia, Nevaeh, Layla, Kinsley, Nora\"], \"text_template_based\": \"I had sandwich for lunch with Olivia, Nevaeh, Layla, Kinsley, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/01/29?\", \"Olivia, Nevaeh, Layla, Kinsley, Nora\"], [\"what did I eat for lunch on 2011/01/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1759\", \"logical_representation\": [\"2011/01/29\", \"dinner\", \"chinese food\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/01/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1760\", \"logical_representation\": [\"2011/01/29\", \"Nevaeh, Layla, Kinsley\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Layla, Kinsley for 13 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Kinsley in the late afternoon on 2011/01/29?\", \"13 minutes\"], [\"who did I talk to on 2011/01/29?\", \"Nevaeh, Layla, Kinsley\"], [\"Did I talk to Nevaeh, Layla, Kinsley on 2011/01/29?\", \"yes\"], [\"Did I talk to anyone on 2011/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/02\": {\"grocery\": {\"eid\": \"e1536\", \"logical_representation\": [\"2011/02/02\", \"I went grocery shopping. I bought some raspberries, watermelons, mandarins, guava juice, and shampoo, toilet paper, conditioner, toothpaste\", \"raspberries, watermelons, mandarins\", \"guava juice\", \"shampoo, toilet paper, conditioner, toothpaste\", \"Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, watermelons, mandarins, guava juice, and shampoo, toilet paper, conditioner, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/02/02?\", \"raspberries, watermelons, mandarins, guava juice, and shampoo, toilet paper, conditioner, toothpaste\"], [\"what fruits did I buy from the grocery store on 2011/02/02?\", \"raspberries, watermelons, mandarins\"], [\"what drinks did I buy from the grocery store on 2011/02/02?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2011/02/02?\", \"shampoo, toilet paper, conditioner, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1773\", \"logical_representation\": [\"2011/02/02\", \"biking\"], \"text_template_based\": \"I did biking on 2011/02/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/02?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1774\", \"logical_representation\": [\"2011/02/02\", \"breakfast\", \"oatmeal\", \"Carter, Emily\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/02/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1775\", \"logical_representation\": [\"2011/02/02\", \"lunch\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/02/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1776\", \"logical_representation\": [\"2011/02/02\", \"Claire, Nora, Nevaeh, Hazel\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Nevaeh, Hazel for 29 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Nevaeh, Hazel in the late afternoon on 2011/02/02?\", \"29 minutes\"], [\"who did I talk to on 2011/02/02?\", \"Claire, Nora, Nevaeh, Hazel\"], [\"Did I talk to Claire, Nora, Nevaeh, Hazel on 2011/02/02?\", \"yes\"], [\"Did I talk to anyone on 2011/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1777\", \"logical_representation\": [\"2011/02/02\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/02/02?\", \"18 minutes\"], [\"what did I read on 2011/02/02?\", \"social media\"], [\"Did I read on 2011/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/08\": {\"grocery\": {\"eid\": \"e1537\", \"logical_representation\": [\"2011/02/08\", \"I went grocery shopping. I bought some apples, pineapples, strawberries, apricots, sports drinks, and facial wash, toilet paper, toothbrush\", \"apples, pineapples, strawberries, apricots\", \"sports drinks\", \"facial wash, toilet paper, toothbrush\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, pineapples, strawberries, apricots, sports drinks, and facial wash, toilet paper, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/02/08?\", \"apples, pineapples, strawberries, apricots, sports drinks, and facial wash, toilet paper, toothbrush\"], [\"what fruits did I buy from the grocery store on 2011/02/08?\", \"apples, pineapples, strawberries, apricots\"], [\"what drinks did I buy from the grocery store on 2011/02/08?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2011/02/08?\", \"facial wash, toilet paper, toothbrush\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1795\", \"logical_representation\": [\"2011/02/08\", \"dinner\", \"chinese food\", \"Olivia, Piper\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/02/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1796\", \"logical_representation\": [\"2011/02/08\", \"Piper, Lydia\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia for 23 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia in the early afternoon on 2011/02/08?\", \"23 minutes\"], [\"who did I talk to on 2011/02/08?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2011/02/08?\", \"yes\"], [\"Did I talk to anyone on 2011/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1797\", \"logical_representation\": [\"2011/02/08\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/02/08?\", \"47 minutes\"], [\"what did I read on 2011/02/08?\", \"social media\"], [\"Did I read on 2011/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1798\", \"logical_representation\": [\"2011/02/08\", \"news\", \"15 minutes\"], \"text_template_based\": \"I watched news for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/08?\", \"15 minutes\"], [\"what did I watch on tv on 2011/02/08?\", \"news\"], [\"Did I watch tv on 2011/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/12\": {\"dating\": {\"eid\": \"e1538\", \"logical_representation\": [\"2011/02/12\", \"Cora\", \"a boba shop\"], \"text_template_based\": \"On 2011/02/12, I took Cora on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/02/12\", \"Cora\"], [\"where did I go for the date on 2011/02/12\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1809\", \"logical_representation\": [\"2011/02/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/02/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1810\", \"logical_representation\": [\"2011/02/12\", \"breakfast\", \"peanut-butter-jam\", \"Avery\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/02/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1811\", \"logical_representation\": [\"2011/02/12\", \"lunch\", \"sandwich\", \"Carter, Kayden\"], \"text_template_based\": \"I had sandwich for lunch with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/02/12?\", \"Carter, Kayden\"], [\"what did I eat for lunch on 2011/02/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1812\", \"logical_representation\": [\"2011/02/12\", \"dinner\", \"sushi\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/02/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1813\", \"logical_representation\": [\"2011/02/12\", \"Rylee, Hazel\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Rylee, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel in the early evening on 2011/02/12?\", \"5 minutes\"], [\"who did I talk to on 2011/02/12?\", \"Rylee, Hazel\"], [\"Did I talk to Rylee, Hazel on 2011/02/12?\", \"yes\"], [\"Did I talk to anyone on 2011/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/21\": {\"grocery\": {\"eid\": \"e1541\", \"logical_representation\": [\"2011/02/21\", \"I went grocery shopping. I bought some oranges, mangos, pineapples, cherres, chocolate milk, guava juice, and mouthwash, mouth wash, facial wash\", \"oranges, mangos, pineapples, cherres\", \"chocolate milk, guava juice\", \"mouthwash, mouth wash, facial wash\", \"Layla, Eva, Hazel, Claire, Rylee, Kinsley, Piper\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, mangos, pineapples, cherres, chocolate milk, guava juice, and mouthwash, mouth wash, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/02/21?\", \"oranges, mangos, pineapples, cherres, chocolate milk, guava juice, and mouthwash, mouth wash, facial wash\"], [\"what fruits did I buy from the grocery store on 2011/02/21?\", \"oranges, mangos, pineapples, cherres\"], [\"what drinks did I buy from the grocery store on 2011/02/21?\", \"chocolate milk, guava juice\"], [\"what toiletries did I buy from the grocery store on 2011/02/21?\", \"mouthwash, mouth wash, facial wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1840\", \"logical_representation\": [\"2011/02/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Layla, Kinsley, Claire, Piper, Nevaeh, Olivia, Piper, Lydia, Rylee, Eva, Nora\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/02/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1841\", \"logical_representation\": [\"2011/02/21\", \"lunch\", \"sandwich\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/02/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1842\", \"logical_representation\": [\"2011/02/21\", \"Nevaeh\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 55 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the late afternoon on 2011/02/21?\", \"55 minutes\"], [\"who did I talk to on 2011/02/21?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2011/02/21?\", \"yes\"], [\"Did I talk to anyone on 2011/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1843\", \"logical_representation\": [\"2011/02/21\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/02/21?\", \"43 minutes\"], [\"what did I read on 2011/02/21?\", \"social media\"], [\"Did I read on 2011/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/04\": {\"dating\": {\"eid\": \"e1542\", \"logical_representation\": [\"2011/03/04\", \"Nathan\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Nathan on 2011/03/04 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/03/04\", \"Nathan\"], [\"where did I go for the date on 2011/03/04\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1543\", \"logical_representation\": [\"2011/03/04\", \"I bought some peaches, mandarins, watermelons, sports drinks, shaving cream, mouth wash, mouthwash, shampoo from the grocery store. I saw Avery, Piper, Layla, Olivia at the grocery store.\", \"peaches, mandarins, watermelons\", \"sports drinks\", \"shaving cream, mouth wash, mouthwash, shampoo\", \"Avery, Piper, Layla, Olivia\"], \"text_template_based\": \"I bought some peaches, mandarins, watermelons, sports drinks, shaving cream, mouth wash, mouthwash, shampoo from the grocery store. I saw Avery, Piper, Layla, Olivia at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/03/04?\", \"peaches, mandarins, watermelons, sports drinks, and shaving cream, mouth wash, mouthwash, shampoo\"], [\"what fruits did I buy from the grocery store on 2011/03/04?\", \"peaches, mandarins, watermelons\"], [\"what drinks did I buy from the grocery store on 2011/03/04?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2011/03/04?\", \"shaving cream, mouth wash, mouthwash, shampoo\"], [\"who did I see at the grocery store on 2011/03/04?\", \"Avery, Piper, Layla, Olivia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1875\", \"logical_representation\": [\"2011/03/04\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/03/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/04?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1876\", \"logical_representation\": [\"2011/03/04\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1877\", \"logical_representation\": [\"2011/03/04\", \"lunch\", \"indian food\", \"Emily\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/03/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1878\", \"logical_representation\": [\"2011/03/04\", \"dinner\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had sandwich for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/03/04?\", \"Emily\"], [\"what did I eat for dinner on 2011/03/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1879\", \"logical_representation\": [\"2011/03/04\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I watched a documentary for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/04?\", \"53 minutes\"], [\"what did I watch on tv on 2011/03/04?\", \"a documentary\"], [\"Did I watch tv on 2011/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/09\": {\"dating\": {\"eid\": \"e1544\", \"logical_representation\": [\"2011/03/09\", \"Ian\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Ian on 2011/03/09 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/03/09\", \"Ian\"], [\"where did I go for the date on 2011/03/09\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1895\", \"logical_representation\": [\"2011/03/09\", \"breakfast\", \"oatmeal\", \"Olivia, Lydia, Hazel, Kinsley, Nora, Rylee, Nevaeh, Piper, Avery, Layla, Piper, Claire, Eva\"], \"text_template_based\": \"I had oatmeal for breakfast with Olivia, Lydia, Hazel, Kinsley, Nora, Rylee, Nevaeh, Piper, Avery, Layla, Piper, Claire, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/03/09?\", \"Olivia, Lydia, Hazel, Kinsley, Nora, Rylee, Nevaeh, Piper, Avery, Layla, Piper, Claire, Eva\"], [\"what did I eat for breakfast on 2011/03/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1896\", \"logical_representation\": [\"2011/03/09\", \"lunch\", \"fish and chips\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/03/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1897\", \"logical_representation\": [\"2011/03/09\", \"Layla, Nevaeh\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Layla, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh in the early afternoon on 2011/03/09?\", \"29 minutes\"], [\"who did I talk to on 2011/03/09?\", \"Layla, Nevaeh\"], [\"Did I talk to Layla, Nevaeh on 2011/03/09?\", \"yes\"], [\"Did I talk to anyone on 2011/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1898\", \"logical_representation\": [\"2011/03/09\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/03/09?\", \"39 minutes\"], [\"what did I read on 2011/03/09?\", \"a book\"], [\"Did I read on 2011/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/10\": {\"grocery\": {\"eid\": \"e1545\", \"logical_representation\": [\"2011/03/10\", \"I went grocery shopping with Nora, Nevaeh, Kinsley, Piper, Piper, Avery, Claire, Lydia, Eva. I bought some nectarines, watermelons, apricots, mango juice, mineral water, and facial wash, toothbrush, mouthwash\", \"nectarines, watermelons, apricots\", \"mango juice, mineral water\", \"facial wash, toothbrush, mouthwash\", \"Nora, Nevaeh, Kinsley, Piper, Piper, Avery, Claire, Lydia, Eva\"], \"text_template_based\": \"I went grocery shopping with Nora, Nevaeh, Kinsley, Piper, Piper, Avery, Claire, Lydia, Eva. I bought some nectarines, watermelons, apricots, mango juice, mineral water, and facial wash, toothbrush, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/03/10?\", \"nectarines, watermelons, apricots, mango juice, mineral water, and facial wash, toothbrush, mouthwash\"], [\"what fruits did I buy from the grocery store on 2011/03/10?\", \"nectarines, watermelons, apricots\"], [\"what drinks did I buy from the grocery store on 2011/03/10?\", \"mango juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2011/03/10?\", \"facial wash, toothbrush, mouthwash\"], [\"who was with me at the grocery store on 2011/03/10?\", \"Nora, Nevaeh, Kinsley, Piper, Piper, Avery, Claire, Lydia, Eva\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1899\", \"logical_representation\": [\"2011/03/10\", \"breakfast\", \"oatmeal\", \"Nevaeh, Piper\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/10\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1900\", \"logical_representation\": [\"2011/03/10\", \"dinner\", \"tacos\", \"Kayden, Andrew\"], \"text_template_based\": \"I had tacos for dinner with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/03/10?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2011/03/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1901\", \"logical_representation\": [\"2011/03/10\", \"Rylee, Eva, Kinsley\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Rylee, Eva, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Kinsley during lunch hours on 2011/03/10?\", \"33 minutes\"], [\"who did I talk to on 2011/03/10?\", \"Rylee, Eva, Kinsley\"], [\"Did I talk to Rylee, Eva, Kinsley on 2011/03/10?\", \"yes\"], [\"Did I talk to anyone on 2011/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1902\", \"logical_representation\": [\"2011/03/10\", \"Avery, Hazel, Kinsley, Nora\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Avery, Hazel, Kinsley, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Kinsley, Nora in the early evening on 2011/03/10?\", \"35 minutes\"], [\"who did I talk to on 2011/03/10?\", \"Avery, Hazel, Kinsley, Nora\"], [\"Did I talk to Avery, Hazel, Kinsley, Nora on 2011/03/10?\", \"yes\"], [\"Did I talk to anyone on 2011/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1903\", \"logical_representation\": [\"2011/03/10\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/10?\", \"51 minutes\"], [\"what did I watch on tv on 2011/03/10?\", \"a documentary\"], [\"Did I watch tv on 2011/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/13\": {\"dating\": {\"eid\": \"e1546\", \"logical_representation\": [\"2011/03/13\", \"Emilia\", \"a coffee Shop\"], \"text_template_based\": \"On 2011/03/13, I took Emilia on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/03/13\", \"Emilia\"], [\"where did I go for the date on 2011/03/13\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1913\", \"logical_representation\": [\"2011/03/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Willow, Avery, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/03/13?\", \"Willow, Avery, Jackson, Benjamin\"], [\"what did I eat for breakfast on 2011/03/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1914\", \"logical_representation\": [\"2011/03/13\", \"lunch\", \"chinese food\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/03/13?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2011/03/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1915\", \"logical_representation\": [\"2011/03/13\", \"dinner\", \"sandwich\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/03/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1916\", \"logical_representation\": [\"2011/03/13\", \"Layla, Rylee\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Layla, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee in the late afternoon on 2011/03/13?\", \"47 minutes\"], [\"who did I talk to on 2011/03/13?\", \"Layla, Rylee\"], [\"Did I talk to Layla, Rylee on 2011/03/13?\", \"yes\"], [\"Did I talk to anyone on 2011/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1917\", \"logical_representation\": [\"2011/03/13\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/03/13?\", \"50 minutes\"], [\"what did I read on 2011/03/13?\", \"social media\"], [\"Did I read on 2011/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1918\", \"logical_representation\": [\"2011/03/13\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I watched a documentary for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/13?\", \"17 minutes\"], [\"what did I watch on tv on 2011/03/13?\", \"a documentary\"], [\"Did I watch tv on 2011/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/17\": {\"dating\": {\"eid\": \"e1547\", \"logical_representation\": [\"2011/03/17\", \"Zoe\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Zoe on 2011/03/17 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/03/17\", \"Zoe\"], [\"where did I go for the date on 2011/03/17\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e1548\", \"logical_representation\": [\"2011/03/17\", \"I spent time working out on 2011/03/17 with Jackson.\", \"working out\", \"Jackson\"], \"text_template_based\": \"I spent time working out on 2011/03/17 with Jackson.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Jackson?\", \"2011/03/17\"], [\"On 2011/03/17, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2011/03/17?\", \"Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1932\", \"logical_representation\": [\"2011/03/17\", \"breakfast\", \"pancakes\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/17\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1933\", \"logical_representation\": [\"2011/03/17\", \"dinner\", \"a burger\", \"Kinsley, Hazel, Eva, Olivia, Lydia, Piper, Avery, Layla, Nora, Piper, Nevaeh, Rylee, Claire\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/03/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1934\", \"logical_representation\": [\"2011/03/17\", \"Eva, Nevaeh\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I talked to Eva, Nevaeh for 13 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh during lunch hours on 2011/03/17?\", \"13 minutes\"], [\"who did I talk to on 2011/03/17?\", \"Eva, Nevaeh\"], [\"Did I talk to Eva, Nevaeh on 2011/03/17?\", \"yes\"], [\"Did I talk to anyone on 2011/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1935\", \"logical_representation\": [\"2011/03/17\", \"Eva, Nevaeh, Piper, Layla\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Eva, Nevaeh, Piper, Layla for 16 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Piper, Layla in the early afternoon on 2011/03/17?\", \"16 minutes\"], [\"who did I talk to on 2011/03/17?\", \"Eva, Nevaeh, Piper, Layla\"], [\"Did I talk to Eva, Nevaeh, Piper, Layla on 2011/03/17?\", \"yes\"], [\"Did I talk to anyone on 2011/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1936\", \"logical_representation\": [\"2011/03/17\", \"a movie\", \"55 minutes\"], \"text_template_based\": \"I watched a movie for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/17?\", \"55 minutes\"], [\"what did I watch on tv on 2011/03/17?\", \"a movie\"], [\"Did I watch tv on 2011/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/18\": {\"grocery\": {\"eid\": \"e1549\", \"logical_representation\": [\"2011/03/18\", \"I went grocery shopping. I bought some watermelons, nectarines, strawberries, mango juice, coffee, apple juice, mineral water, and toothpaste, shaving cream, toilet paper\", \"watermelons, nectarines, strawberries\", \"mango juice, coffee, apple juice, mineral water\", \"toothpaste, shaving cream, toilet paper\", \"Piper, Rylee, Avery, Lydia, Eva, Nevaeh, Kinsley\"], \"text_template_based\": \"I went grocery shopping. I bought some watermelons, nectarines, strawberries, mango juice, coffee, apple juice, mineral water, and toothpaste, shaving cream, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/03/18?\", \"watermelons, nectarines, strawberries, mango juice, coffee, apple juice, mineral water, and toothpaste, shaving cream, toilet paper\"], [\"what fruits did I buy from the grocery store on 2011/03/18?\", \"watermelons, nectarines, strawberries\"], [\"what drinks did I buy from the grocery store on 2011/03/18?\", \"mango juice, coffee, apple juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2011/03/18?\", \"toothpaste, shaving cream, toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1937\", \"logical_representation\": [\"2011/03/18\", \"biking\"], \"text_template_based\": \"I did biking on 2011/03/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/18?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1938\", \"logical_representation\": [\"2011/03/18\", \"breakfast\", \"oatmeal\", \"Eva, Nora, Layla\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1939\", \"logical_representation\": [\"2011/03/18\", \"lunch\", \"chinese food\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had chinese food for lunch with Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/03/18?\", \"Andrew, Emily, Carter\"], [\"what did I eat for lunch on 2011/03/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1940\", \"logical_representation\": [\"2011/03/18\", \"dinner\", \"pasta\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Emily, Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/03/18?\", \"Carter, Emily, Kayden\"], [\"what did I eat for dinner on 2011/03/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1941\", \"logical_representation\": [\"2011/03/18\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/03/18?\", \"21 minutes\"], [\"what did I read on 2011/03/18?\", \"news\"], [\"Did I read on 2011/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1942\", \"logical_representation\": [\"2011/03/18\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I watched a tv series for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/18?\", \"8 minutes\"], [\"what did I watch on tv on 2011/03/18?\", \"a tv series\"], [\"Did I watch tv on 2011/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/24\": {\"grocery\": {\"eid\": \"e1550\", \"logical_representation\": [\"2011/03/24\", \"I went grocery shopping with Emily, Andrew, Kayden. I bought some nectarines, pineapple juice, and facial wash, paper towel, shampoo\", \"nectarines\", \"pineapple juice\", \"facial wash, paper towel, shampoo\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping with Emily, Andrew, Kayden. I bought some nectarines, pineapple juice, and facial wash, paper towel, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/03/24?\", \"nectarines, pineapple juice, and facial wash, paper towel, shampoo\"], [\"what fruits did I buy from the grocery store on 2011/03/24?\", \"nectarines\"], [\"what drinks did I buy from the grocery store on 2011/03/24?\", \"pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2011/03/24?\", \"facial wash, paper towel, shampoo\"], [\"who was with me at the grocery store on 2011/03/24?\", \"Emily, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1965\", \"logical_representation\": [\"2011/03/24\", \"breakfast\", \"toast and cheese\", \"Benjamin, Willow\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1966\", \"logical_representation\": [\"2011/03/24\", \"lunch\", \"sandwich\", \"Lydia, Claire, Nora, Piper, Hazel, Rylee, Kinsley, Avery, Olivia, Nevaeh, Layla, Eva, Piper\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/03/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1967\", \"logical_representation\": [\"2011/03/24\", \"dinner\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/03/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1968\", \"logical_representation\": [\"2011/03/24\", \"Rylee\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Rylee for 20 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee late in the evening on 2011/03/24?\", \"20 minutes\"], [\"who did I talk to on 2011/03/24?\", \"Rylee\"], [\"Did I talk to Rylee on 2011/03/24?\", \"yes\"], [\"Did I talk to anyone on 2011/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1969\", \"logical_representation\": [\"2011/03/24\", \"news\", \"41 minutes\"], \"text_template_based\": \"I watched news for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/24?\", \"41 minutes\"], [\"what did I watch on tv on 2011/03/24?\", \"news\"], [\"Did I watch tv on 2011/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/27\": {\"dating\": {\"eid\": \"e1551\", \"logical_representation\": [\"2011/03/27\", \"Stella\", \"a restaurant\"], \"text_template_based\": \"On 2011/03/27, I took Stella on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/03/27\", \"Stella\"], [\"where did I go for the date on 2011/03/27\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1980\", \"logical_representation\": [\"2011/03/27\", \"dinner\", \"sushi\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/03/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1981\", \"logical_representation\": [\"2011/03/27\", \"Nevaeh, Layla, Eva, Avery\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Nevaeh, Layla, Eva, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Eva, Avery in the early afternoon on 2011/03/27?\", \"19 minutes\"], [\"who did I talk to on 2011/03/27?\", \"Nevaeh, Layla, Eva, Avery\"], [\"Did I talk to Nevaeh, Layla, Eva, Avery on 2011/03/27?\", \"yes\"], [\"Did I talk to anyone on 2011/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1982\", \"logical_representation\": [\"2011/03/27\", \"Hazel, Piper, Kinsley, Avery\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Kinsley, Avery for 14 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Kinsley, Avery in the morning on 2011/03/27?\", \"14 minutes\"], [\"who did I talk to on 2011/03/27?\", \"Hazel, Piper, Kinsley, Avery\"], [\"Did I talk to Hazel, Piper, Kinsley, Avery on 2011/03/27?\", \"yes\"], [\"Did I talk to anyone on 2011/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/26\": {\"grocery\": {\"eid\": \"e1552\", \"logical_representation\": [\"2011/03/26\", \"I went grocery shopping with Andrew. I bought some pineapples, pineapple juice, guava juice, and shaving cream, paper towel, toothpaste\", \"pineapples\", \"pineapple juice, guava juice\", \"shaving cream, paper towel, toothpaste\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping with Andrew. I bought some pineapples, pineapple juice, guava juice, and shaving cream, paper towel, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/03/26?\", \"pineapples, pineapple juice, guava juice, and shaving cream, paper towel, toothpaste\"], [\"what fruits did I buy from the grocery store on 2011/03/26?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2011/03/26?\", \"pineapple juice, guava juice\"], [\"what toiletries did I buy from the grocery store on 2011/03/26?\", \"shaving cream, paper towel, toothpaste\"], [\"who was with me at the grocery store on 2011/03/26?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1976\", \"logical_representation\": [\"2011/03/26\", \"running\"], \"text_template_based\": \"I did running on 2011/03/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1977\", \"logical_representation\": [\"2011/03/26\", \"dinner\", \"chinese food\", \"Rylee, Avery, Nora, Piper, Eva, Nevaeh, Piper, Lydia, Layla, Kinsley, Hazel, Claire\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/03/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1978\", \"logical_representation\": [\"2011/03/26\", \"Piper\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2011/03/26?\", \"11 minutes\"], [\"who did I talk to on 2011/03/26?\", \"Piper\"], [\"Did I talk to Piper on 2011/03/26?\", \"yes\"], [\"Did I talk to anyone on 2011/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1979\", \"logical_representation\": [\"2011/03/26\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/26?\", \"19 minutes\"], [\"what did I watch on tv on 2011/03/26?\", \"a movie\"], [\"Did I watch tv on 2011/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/30\": {\"grocery\": {\"eid\": \"e1553\", \"logical_representation\": [\"2011/03/30\", \"I bought some strawberries, mangos, pears, pineapples, mango juice, coffee, mouthwash, facial wash online.\", \"strawberries, mangos, pears, pineapples\", \"mango juice, coffee\", \"mouthwash, facial wash\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I bought some strawberries, mangos, pears, pineapples, mango juice, coffee, mouthwash, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/03/30?\", \"strawberries, mangos, pears, pineapples, mango juice, coffee, and mouthwash, facial wash\"], [\"what fruits did I buy online on 2011/03/30?\", \"strawberries, mangos, pears, pineapples\"], [\"what drinks did I buy online on 2011/03/30?\", \"mango juice, coffee\"], [\"what toiletries did I buy online on 2011/03/30?\", \"mouthwash, facial wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1992\", \"logical_representation\": [\"2011/03/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Willow\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1993\", \"logical_representation\": [\"2011/03/30\", \"dinner\", \"fish and chips\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had fish and chips for dinner with Benjamin, Jackson, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/03/30?\", \"Benjamin, Jackson, Avery, Willow\"], [\"what did I eat for dinner on 2011/03/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1994\", \"logical_representation\": [\"2011/03/30\", \"Kinsley, Layla, Piper, Olivia\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Kinsley, Layla, Piper, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Piper, Olivia in the morning on 2011/03/30?\", \"27 minutes\"], [\"who did I talk to on 2011/03/30?\", \"Kinsley, Layla, Piper, Olivia\"], [\"Did I talk to Kinsley, Layla, Piper, Olivia on 2011/03/30?\", \"yes\"], [\"Did I talk to anyone on 2011/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/03\": {\"dating\": {\"eid\": \"e1554\", \"logical_representation\": [\"2011/04/03\", \"Parker\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Parker on 2011/04/03 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/04/03\", \"Parker\"], [\"where did I go for the date on 2011/04/03\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1557\", \"logical_representation\": [\"2011/04/03\", \"I bought some peaches, mandarins, apple juice, body lotion, conditioner, shampoo, mouthwash online.\", \"peaches, mandarins\", \"apple juice\", \"body lotion, conditioner, shampoo, mouthwash\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I bought some peaches, mandarins, apple juice, body lotion, conditioner, shampoo, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/04/03?\", \"peaches, mandarins, apple juice, and body lotion, conditioner, shampoo, mouthwash\"], [\"what fruits did I buy online on 2011/04/03?\", \"peaches, mandarins\"], [\"what drinks did I buy online on 2011/04/03?\", \"apple juice\"], [\"what toiletries did I buy online on 2011/04/03?\", \"body lotion, conditioner, shampoo, mouthwash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2005\", \"logical_representation\": [\"2011/04/03\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2006\", \"logical_representation\": [\"2011/04/03\", \"lunch\", \"sushi\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/04/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2007\", \"logical_representation\": [\"2011/04/03\", \"dinner\", \"a burger\", \"Emily, Carter\"], \"text_template_based\": \"I had a burger for dinner with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/04/03?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2011/04/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2008\", \"logical_representation\": [\"2011/04/03\", \"Kinsley, Piper\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper for 43 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the early evening on 2011/04/03?\", \"43 minutes\"], [\"who did I talk to on 2011/04/03?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2011/04/03?\", \"yes\"], [\"Did I talk to anyone on 2011/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2009\", \"logical_representation\": [\"2011/04/03\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/03?\", \"18 minutes\"], [\"what did I watch on tv on 2011/04/03?\", \"a movie\"], [\"Did I watch tv on 2011/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/02\": {\"hobbies\": {\"eid\": \"e1555\", \"logical_representation\": [\"2011/04/02\", \"I spent time working out on 2011/04/02 with Emily, Andrew.\", \"working out\", \"Emily, Andrew\"], \"text_template_based\": \"I spent time working out on 2011/04/02 with Emily, Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Emily, Andrew?\", \"2011/04/02\"], [\"On 2011/04/02, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2011/04/02?\", \"Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2001\", \"logical_representation\": [\"2011/04/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/04/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2002\", \"logical_representation\": [\"2011/04/02\", \"dinner\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/04/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2003\", \"logical_representation\": [\"2011/04/02\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/04/02?\", \"45 minutes\"], [\"what did I read on 2011/04/02?\", \"social media\"], [\"Did I read on 2011/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2004\", \"logical_representation\": [\"2011/04/02\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/02?\", \"54 minutes\"], [\"what did I watch on tv on 2011/04/02?\", \"a tv series\"], [\"Did I watch tv on 2011/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/08\": {\"hobbies\": {\"eid\": \"e1556\", \"logical_representation\": [\"2011/04/08\", \"I spent some time learning a language on 2011/04/08.\", \"learning a language\", \"Andrew\"], \"text_template_based\": \"I spent some time learning a language on 2011/04/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2011/04/08\"], [\"On 2011/04/08, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2023\", \"logical_representation\": [\"2011/04/08\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/04/08?\", \"20 minutes\"], [\"what did I read on 2011/04/08?\", \"social media\"], [\"Did I read on 2011/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/07\": {\"grocery\": {\"eid\": \"e1558\", \"logical_representation\": [\"2011/04/07\", \"I bought some pears, nectarines, apple juice, toilet paper, facial wash, paper towel online.\", \"pears, nectarines\", \"apple juice\", \"toilet paper, facial wash, paper towel\", \"Eva, Nevaeh, Lydia, Claire, Layla, Kinsley, Nora, Avery, Hazel, Piper, Piper\"], \"text_template_based\": \"I bought some pears, nectarines, apple juice, toilet paper, facial wash, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/04/07?\", \"pears, nectarines, apple juice, and toilet paper, facial wash, paper towel\"], [\"what fruits did I buy online on 2011/04/07?\", \"pears, nectarines\"], [\"what drinks did I buy online on 2011/04/07?\", \"apple juice\"], [\"what toiletries did I buy online on 2011/04/07?\", \"toilet paper, facial wash, paper towel\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2021\", \"logical_representation\": [\"2011/04/07\", \"dinner\", \"sandwich\", \"Claire, Rylee, Olivia, Nora, Hazel\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/04/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2022\", \"logical_representation\": [\"2011/04/07\", \"news\", \"31 minutes\"], \"text_template_based\": \"I watched news for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/07?\", \"31 minutes\"], [\"what did I watch on tv on 2011/04/07?\", \"news\"], [\"Did I watch tv on 2011/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/10\": {\"dating\": {\"eid\": \"e1559\", \"logical_representation\": [\"2011/04/10\", \"Aaliyah\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Aaliyah on 2011/04/10 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/04/10\", \"Aaliyah\"], [\"where did I go for the date on 2011/04/10\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1561\", \"logical_representation\": [\"2011/04/10\", \"I went grocery shopping. I bought some apricots, watermelons, peaches, oranges, chocolate milk, tea, orange juice, apple juice, and conditioner, mouth wash, toilet paper\", \"apricots, watermelons, peaches, oranges\", \"chocolate milk, tea, orange juice, apple juice\", \"conditioner, mouth wash, toilet paper\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, watermelons, peaches, oranges, chocolate milk, tea, orange juice, apple juice, and conditioner, mouth wash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/04/10?\", \"apricots, watermelons, peaches, oranges, chocolate milk, tea, orange juice, apple juice, and conditioner, mouth wash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2011/04/10?\", \"apricots, watermelons, peaches, oranges\"], [\"what drinks did I buy from the grocery store on 2011/04/10?\", \"chocolate milk, tea, orange juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2011/04/10?\", \"conditioner, mouth wash, toilet paper\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2028\", \"logical_representation\": [\"2011/04/10\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I watched a documentary for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/10?\", \"54 minutes\"], [\"what did I watch on tv on 2011/04/10?\", \"a documentary\"], [\"Did I watch tv on 2011/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/15\": {\"dating\": {\"eid\": \"e1560\", \"logical_representation\": [\"2011/04/15\", \"Ruby\", \"a restaurant\"], \"text_template_based\": \"On 2011/04/15, I took Ruby on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/04/15\", \"Ruby\"], [\"where did I go for the date on 2011/04/15\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2042\", \"logical_representation\": [\"2011/04/15\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/04/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/15?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2043\", \"logical_representation\": [\"2011/04/15\", \"dinner\", \"chinese food\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had chinese food for dinner with Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/04/15?\", \"Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2011/04/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2044\", \"logical_representation\": [\"2011/04/15\", \"Rylee, Kinsley, Claire\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Rylee, Kinsley, Claire for 6 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Claire late in the evening on 2011/04/15?\", \"6 minutes\"], [\"who did I talk to on 2011/04/15?\", \"Rylee, Kinsley, Claire\"], [\"Did I talk to Rylee, Kinsley, Claire on 2011/04/15?\", \"yes\"], [\"Did I talk to anyone on 2011/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2045\", \"logical_representation\": [\"2011/04/15\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/04/15?\", \"31 minutes\"], [\"what did I read on 2011/04/15?\", \"news\"], [\"Did I read on 2011/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2046\", \"logical_representation\": [\"2011/04/15\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/15?\", \"37 minutes\"], [\"what did I watch on tv on 2011/04/15?\", \"news\"], [\"Did I watch tv on 2011/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/12\": {\"grocery\": {\"eid\": \"e1562\", \"logical_representation\": [\"2011/04/12\", \"I bought some peaches, sports drinks, toothpaste, toilet paper, mouth wash, facial wash from the grocery store. I saw Emily, Carter, Kayden at the grocery store.\", \"peaches\", \"sports drinks\", \"toothpaste, toilet paper, mouth wash, facial wash\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I bought some peaches, sports drinks, toothpaste, toilet paper, mouth wash, facial wash from the grocery store. I saw Emily, Carter, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/04/12?\", \"peaches, sports drinks, and toothpaste, toilet paper, mouth wash, facial wash\"], [\"what fruits did I buy from the grocery store on 2011/04/12?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2011/04/12?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2011/04/12?\", \"toothpaste, toilet paper, mouth wash, facial wash\"], [\"who did I see at the grocery store on 2011/04/12?\", \"Emily, Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2031\", \"logical_representation\": [\"2011/04/12\", \"biking\"], \"text_template_based\": \"I did biking on 2011/04/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/12?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2032\", \"logical_representation\": [\"2011/04/12\", \"breakfast\", \"oatmeal\", \"Piper, Nora, Rylee, Eva, Piper, Kinsley\"], \"text_template_based\": \"I had breakfast with Piper, Nora, Rylee, Eva, Piper, Kinsley. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/04/12?\", \"Piper, Nora, Rylee, Eva, Piper, Kinsley\"], [\"what did I eat for breakfast on 2011/04/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2011/04/17\": {\"dating\": {\"eid\": \"e1563\", \"logical_representation\": [\"2011/04/17\", \"Adrian\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Adrian on 2011/04/17 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/04/17\", \"Adrian\"], [\"where did I go for the date on 2011/04/17\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2051\", \"logical_representation\": [\"2011/04/17\", \"breakfast\", \"oatmeal\", \"Nevaeh, Hazel, Kinsley, Avery, Eva, Piper, Nora, Rylee\"], \"text_template_based\": \"I had breakfast with Nevaeh, Hazel, Kinsley, Avery, Eva, Piper, Nora, Rylee. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/04/17?\", \"Nevaeh, Hazel, Kinsley, Avery, Eva, Piper, Nora, Rylee\"], [\"what did I eat for breakfast on 2011/04/17\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2052\", \"logical_representation\": [\"2011/04/17\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/04/17?\", \"27 minutes\"], [\"what did I read on 2011/04/17?\", \"social media\"], [\"Did I read on 2011/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/22\": {\"grocery\": {\"eid\": \"e1564\", \"logical_representation\": [\"2011/04/22\", \"I bought some strawberries, milk, mineral water, body lotion, conditioner, mouth wash online.\", \"strawberries\", \"milk, mineral water\", \"body lotion, conditioner, mouth wash\", \"Eva, Layla, Olivia, Kinsley, Claire\"], \"text_template_based\": \"I bought some strawberries, milk, mineral water, body lotion, conditioner, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/04/22?\", \"strawberries, milk, mineral water, and body lotion, conditioner, mouth wash\"], [\"what fruits did I buy online on 2011/04/22?\", \"strawberries\"], [\"what drinks did I buy online on 2011/04/22?\", \"milk, mineral water\"], [\"what toiletries did I buy online on 2011/04/22?\", \"body lotion, conditioner, mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2069\", \"logical_representation\": [\"2011/04/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/04/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2070\", \"logical_representation\": [\"2011/04/22\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had sandwich for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/04/22?\", \"Kayden\"], [\"what did I eat for dinner on 2011/04/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2071\", \"logical_representation\": [\"2011/04/22\", \"Rylee\", \"in the morning\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2011/04/22?\", \"16 minutes\"], [\"who did I talk to on 2011/04/22?\", \"Rylee\"], [\"Did I talk to Rylee on 2011/04/22?\", \"yes\"], [\"Did I talk to anyone on 2011/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2072\", \"logical_representation\": [\"2011/04/22\", \"Nora, Hazel\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I talked to Nora, Hazel for 9 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel in the late afternoon on 2011/04/22?\", \"9 minutes\"], [\"who did I talk to on 2011/04/22?\", \"Nora, Hazel\"], [\"Did I talk to Nora, Hazel on 2011/04/22?\", \"yes\"], [\"Did I talk to anyone on 2011/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2073\", \"logical_representation\": [\"2011/04/22\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/04/22?\", \"37 minutes\"], [\"what did I read on 2011/04/22?\", \"social media\"], [\"Did I read on 2011/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2074\", \"logical_representation\": [\"2011/04/22\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/22?\", \"6 minutes\"], [\"what did I watch on tv on 2011/04/22?\", \"a movie\"], [\"Did I watch tv on 2011/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/23\": {\"dating\": {\"eid\": \"e1565\", \"logical_representation\": [\"2011/04/23\", \"Jade\", \"a coffee Shop\"], \"text_template_based\": \"On 2011/04/23, I took Jade on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/04/23\", \"Jade\"], [\"where did I go for the date on 2011/04/23\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1567\", \"logical_representation\": [\"2011/04/23\", \"I went grocery shopping with Jackson, Benjamin, Willow. I bought some strawberries, apricots, peaches, blueberries, pineapple juice, soda, and facial wash, body lotion, shampoo\", \"strawberries, apricots, peaches, blueberries\", \"pineapple juice, soda\", \"facial wash, body lotion, shampoo\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I went grocery shopping with Jackson, Benjamin, Willow. I bought some strawberries, apricots, peaches, blueberries, pineapple juice, soda, and facial wash, body lotion, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/04/23?\", \"strawberries, apricots, peaches, blueberries, pineapple juice, soda, and facial wash, body lotion, shampoo\"], [\"what fruits did I buy from the grocery store on 2011/04/23?\", \"strawberries, apricots, peaches, blueberries\"], [\"what drinks did I buy from the grocery store on 2011/04/23?\", \"pineapple juice, soda\"], [\"what toiletries did I buy from the grocery store on 2011/04/23?\", \"facial wash, body lotion, shampoo\"], [\"who was with me at the grocery store on 2011/04/23?\", \"Jackson, Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2075\", \"logical_representation\": [\"2011/04/23\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/23\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2076\", \"logical_representation\": [\"2011/04/23\", \"Layla, Piper, Eva, Nora\", \"late in the evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Layla, Piper, Eva, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Eva, Nora late in the evening on 2011/04/23?\", \"19 minutes\"], [\"who did I talk to on 2011/04/23?\", \"Layla, Piper, Eva, Nora\"], [\"Did I talk to Layla, Piper, Eva, Nora on 2011/04/23?\", \"yes\"], [\"Did I talk to anyone on 2011/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2077\", \"logical_representation\": [\"2011/04/23\", \"Hazel, Piper\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Hazel, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper in the late afternoon on 2011/04/23?\", \"40 minutes\"], [\"who did I talk to on 2011/04/23?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2011/04/23?\", \"yes\"], [\"Did I talk to anyone on 2011/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2078\", \"logical_representation\": [\"2011/04/23\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/04/23?\", \"17 minutes\"], [\"what did I read on 2011/04/23?\", \"a book\"], [\"Did I read on 2011/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/28\": {\"dating\": {\"eid\": \"e1566\", \"logical_representation\": [\"2011/04/28\", \"Willow\", \"a park\"], \"text_template_based\": \"I went on a date with Willow on 2011/04/28 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/04/28\", \"Willow\"], [\"where did I go for the date on 2011/04/28\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2099\", \"logical_representation\": [\"2011/04/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/04/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2100\", \"logical_representation\": [\"2011/04/28\", \"breakfast\", \"pancakes\", \"Rylee, Eva, Nora, Claire, Piper\"], \"text_template_based\": \"I had pancakes for breakfast with Rylee, Eva, Nora, Claire, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/04/28?\", \"Rylee, Eva, Nora, Claire, Piper\"], [\"what did I eat for breakfast on 2011/04/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2101\", \"logical_representation\": [\"2011/04/28\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/04/28?\", \"35 minutes\"], [\"what did I read on 2011/04/28?\", \"a book\"], [\"Did I read on 2011/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2102\", \"logical_representation\": [\"2011/04/28\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/28?\", \"27 minutes\"], [\"what did I watch on tv on 2011/04/28?\", \"a documentary\"], [\"Did I watch tv on 2011/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/27\": {\"grocery\": {\"eid\": \"e1568\", \"logical_representation\": [\"2011/04/27\", \"I went grocery shopping with Emily, Kayden, Carter. I bought some guava, watermelons, pineapples, chocolate milk, and toothpaste, mouth wash\", \"guava, watermelons, pineapples\", \"chocolate milk\", \"toothpaste, mouth wash\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping with Emily, Kayden, Carter. I bought some guava, watermelons, pineapples, chocolate milk, and toothpaste, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/04/27?\", \"guava, watermelons, pineapples, chocolate milk, and toothpaste, mouth wash\"], [\"what fruits did I buy from the grocery store on 2011/04/27?\", \"guava, watermelons, pineapples\"], [\"what drinks did I buy from the grocery store on 2011/04/27?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2011/04/27?\", \"toothpaste, mouth wash\"], [\"who was with me at the grocery store on 2011/04/27?\", \"Emily, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2092\", \"logical_representation\": [\"2011/04/27\", \"biking\"], \"text_template_based\": \"I did biking on 2011/04/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/27?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2093\", \"logical_representation\": [\"2011/04/27\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Willow\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/04/27?\", \"Avery, Willow\"], [\"what did I eat for breakfast on 2011/04/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2094\", \"logical_representation\": [\"2011/04/27\", \"dinner\", \"fish and chips\", \"Rylee, Kinsley, Layla, Piper, Hazel, Piper, Lydia\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/04/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2095\", \"logical_representation\": [\"2011/04/27\", \"Eva, Hazel, Kinsley, Layla\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel, Kinsley, Layla for 34 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Kinsley, Layla during lunch hours on 2011/04/27?\", \"34 minutes\"], [\"who did I talk to on 2011/04/27?\", \"Eva, Hazel, Kinsley, Layla\"], [\"Did I talk to Eva, Hazel, Kinsley, Layla on 2011/04/27?\", \"yes\"], [\"Did I talk to anyone on 2011/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2096\", \"logical_representation\": [\"2011/04/27\", \"Piper\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2011/04/27?\", \"38 minutes\"], [\"who did I talk to on 2011/04/27?\", \"Piper\"], [\"Did I talk to Piper on 2011/04/27?\", \"yes\"], [\"Did I talk to anyone on 2011/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2097\", \"logical_representation\": [\"2011/04/27\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/04/27?\", \"47 minutes\"], [\"what did I read on 2011/04/27?\", \"news\"], [\"Did I read on 2011/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2098\", \"logical_representation\": [\"2011/04/27\", \"a documentary\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/27?\", \"15 minutes\"], [\"what did I watch on tv on 2011/04/27?\", \"a documentary\"], [\"Did I watch tv on 2011/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/04\": {\"dating\": {\"eid\": \"e1569\", \"logical_representation\": [\"2011/05/04\", \"Adeline\", \"a park\"], \"text_template_based\": \"On 2011/05/04, I took Adeline on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/05/04\", \"Adeline\"], [\"where did I go for the date on 2011/05/04\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2130\", \"logical_representation\": [\"2011/05/04\", \"running\"], \"text_template_based\": \"I did running on 2011/05/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/04?\", \"running\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2131\", \"logical_representation\": [\"2011/05/04\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/05/04?\", \"54 minutes\"], [\"what did I read on 2011/05/04?\", \"news\"], [\"Did I read on 2011/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2132\", \"logical_representation\": [\"2011/05/04\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I watched a movie for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/04?\", \"53 minutes\"], [\"what did I watch on tv on 2011/05/04?\", \"a movie\"], [\"Did I watch tv on 2011/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/09\": {\"hobbies\": {\"eid\": \"e1570\", \"logical_representation\": [\"2011/05/09\", \"I spent time yoga on 2011/05/09 with Benjamin, Willow, Avery.\", \"yoga\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I spent time yoga on 2011/05/09 with Benjamin, Willow, Avery.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Benjamin, Willow, Avery?\", \"2011/05/09\"], [\"On 2011/05/09, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2011/05/09?\", \"Benjamin, Willow, Avery\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1571\", \"logical_representation\": [\"2011/05/09\", \"I went grocery shopping with Kayden. I bought some bananas, nectarines, clementines, coffee, mineral water, guava juice, and toothbrush, toilet paper\", \"bananas, nectarines, clementines\", \"coffee, mineral water, guava juice\", \"toothbrush, toilet paper\", \"Kayden\"], \"text_template_based\": \"I went grocery shopping with Kayden. I bought some bananas, nectarines, clementines, coffee, mineral water, guava juice, and toothbrush, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/05/09?\", \"bananas, nectarines, clementines, coffee, mineral water, guava juice, and toothbrush, toilet paper\"], [\"what fruits did I buy from the grocery store on 2011/05/09?\", \"bananas, nectarines, clementines\"], [\"what drinks did I buy from the grocery store on 2011/05/09?\", \"coffee, mineral water, guava juice\"], [\"what toiletries did I buy from the grocery store on 2011/05/09?\", \"toothbrush, toilet paper\"], [\"who was with me at the grocery store on 2011/05/09?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2148\", \"logical_representation\": [\"2011/05/09\", \"breakfast\", \"cereals\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2149\", \"logical_representation\": [\"2011/05/09\", \"lunch\", \"tacos\", \"Carter, Andrew\"], \"text_template_based\": \"I had tacos for lunch with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/05/09?\", \"Carter, Andrew\"], [\"what did I eat for lunch on 2011/05/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2150\", \"logical_representation\": [\"2011/05/09\", \"Avery, Nora\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Avery, Nora for 11 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora in the late afternoon on 2011/05/09?\", \"11 minutes\"], [\"who did I talk to on 2011/05/09?\", \"Avery, Nora\"], [\"Did I talk to Avery, Nora on 2011/05/09?\", \"yes\"], [\"Did I talk to anyone on 2011/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2151\", \"logical_representation\": [\"2011/05/09\", \"Kinsley, Nevaeh, Hazel, Eva\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh, Hazel, Eva for 53 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Hazel, Eva during lunch hours on 2011/05/09?\", \"53 minutes\"], [\"who did I talk to on 2011/05/09?\", \"Kinsley, Nevaeh, Hazel, Eva\"], [\"Did I talk to Kinsley, Nevaeh, Hazel, Eva on 2011/05/09?\", \"yes\"], [\"Did I talk to anyone on 2011/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/15\": {\"dating\": {\"eid\": \"e1572\", \"logical_representation\": [\"2011/05/15\", \"Eli\", \"a park\"], \"text_template_based\": \"On 2011/05/15, I took Eli on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/05/15\", \"Eli\"], [\"where did I go for the date on 2011/05/15\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2168\", \"logical_representation\": [\"2011/05/15\", \"running\"], \"text_template_based\": \"I did running on 2011/05/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2169\", \"logical_representation\": [\"2011/05/15\", \"breakfast\", \"toast and cheese\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2170\", \"logical_representation\": [\"2011/05/15\", \"lunch\", \"fish and chips\", \"Layla, Olivia, Nevaeh, Avery, Nora, Eva, Claire, Hazel, Piper, Lydia, Kinsley\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/05/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2171\", \"logical_representation\": [\"2011/05/15\", \"Claire, Rylee\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Claire, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee late in the evening on 2011/05/15?\", \"47 minutes\"], [\"who did I talk to on 2011/05/15?\", \"Claire, Rylee\"], [\"Did I talk to Claire, Rylee on 2011/05/15?\", \"yes\"], [\"Did I talk to anyone on 2011/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2172\", \"logical_representation\": [\"2011/05/15\", \"Olivia\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early afternoon on 2011/05/15?\", \"17 minutes\"], [\"who did I talk to on 2011/05/15?\", \"Olivia\"], [\"Did I talk to Olivia on 2011/05/15?\", \"yes\"], [\"Did I talk to anyone on 2011/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/18\": {\"grocery\": {\"eid\": \"e1573\", \"logical_representation\": [\"2011/05/18\", \"I went grocery shopping. I bought some peaches, guava, apple juice, mango juice, tea, and body lotion\", \"peaches, guava\", \"apple juice, mango juice, tea\", \"body lotion\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, guava, apple juice, mango juice, tea, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/05/18?\", \"peaches, guava, apple juice, mango juice, tea, and body lotion\"], [\"what fruits did I buy from the grocery store on 2011/05/18?\", \"peaches, guava\"], [\"what drinks did I buy from the grocery store on 2011/05/18?\", \"apple juice, mango juice, tea\"], [\"what toiletries did I buy from the grocery store on 2011/05/18?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2180\", \"logical_representation\": [\"2011/05/18\", \"dinner\", \"pasta\", \"Hazel, Layla, Avery, Olivia, Nora, Rylee, Claire, Nevaeh, Piper, Eva, Lydia\"], \"text_template_based\": \"I had dinner with Hazel, Layla, Avery, Olivia, Nora, Rylee, Claire, Nevaeh, Piper, Eva, Lydia. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/05/18?\", \"Hazel, Layla, Avery, Olivia, Nora, Rylee, Claire, Nevaeh, Piper, Eva, Lydia\"], [\"what did I eat for dinner on 2011/05/18\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2011/05/23\": {\"dating\": {\"eid\": \"e1574\", \"logical_representation\": [\"2011/05/23\", \"Oliver\", \"a park\"], \"text_template_based\": \"On 2011/05/23, I took Oliver on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/05/23\", \"Oliver\"], [\"where did I go for the date on 2011/05/23\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2192\", \"logical_representation\": [\"2011/05/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/05/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2193\", \"logical_representation\": [\"2011/05/23\", \"lunch\", \"chinese food\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/05/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2194\", \"logical_representation\": [\"2011/05/23\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/23?\", \"42 minutes\"], [\"what did I watch on tv on 2011/05/23?\", \"a tv series\"], [\"Did I watch tv on 2011/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/28\": {\"hobbies\": {\"eid\": \"e1575\", \"logical_representation\": [\"2011/05/28\", \"I spent some time gardening on 2011/05/28.\", \"gardening\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I spent some time gardening on 2011/05/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2011/05/28\"], [\"On 2011/05/28, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2214\", \"logical_representation\": [\"2011/05/28\", \"breakfast\", \"cereals\", \"Hazel, Avery, Eva, Nevaeh\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2215\", \"logical_representation\": [\"2011/05/28\", \"lunch\", \"fish and chips\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Andrew, Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/05/28?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for lunch on 2011/05/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2216\", \"logical_representation\": [\"2011/05/28\", \"dinner\", \"sushi\", \"Kayden, Emily\"], \"text_template_based\": \"I had sushi for dinner with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/05/28?\", \"Kayden, Emily\"], [\"what did I eat for dinner on 2011/05/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2217\", \"logical_representation\": [\"2011/05/28\", \"Nevaeh, Olivia, Hazel, Piper\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Hazel, Piper for 6 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Hazel, Piper in the morning on 2011/05/28?\", \"6 minutes\"], [\"who did I talk to on 2011/05/28?\", \"Nevaeh, Olivia, Hazel, Piper\"], [\"Did I talk to Nevaeh, Olivia, Hazel, Piper on 2011/05/28?\", \"yes\"], [\"Did I talk to anyone on 2011/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2218\", \"logical_representation\": [\"2011/05/28\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/05/28?\", \"5 minutes\"], [\"what did I read on 2011/05/28?\", \"news\"], [\"Did I read on 2011/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2219\", \"logical_representation\": [\"2011/05/28\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I watched a tv series for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/28?\", \"40 minutes\"], [\"what did I watch on tv on 2011/05/28?\", \"a tv series\"], [\"Did I watch tv on 2011/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/03\": {\"hobbies\": {\"eid\": \"e1576\", \"logical_representation\": [\"2011/06/03\", \"I really enjoyed yoga on 2011/06/03\", \"yoga\", \"Willow, Benjamin\"], \"text_template_based\": \"I really enjoyed yoga on 2011/06/03\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2011/06/03\"], [\"On 2011/06/03, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2236\", \"logical_representation\": [\"2011/06/03\", \"running\"], \"text_template_based\": \"I did running on 2011/06/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2237\", \"logical_representation\": [\"2011/06/03\", \"breakfast\", \"cereals\", \"Piper, Rylee, Nevaeh, Lydia, Piper, Avery, Eva, Olivia, Nora\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2238\", \"logical_representation\": [\"2011/06/03\", \"lunch\", \"tacos\", \"Rylee\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/06/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2239\", \"logical_representation\": [\"2011/06/03\", \"Piper, Rylee, Nevaeh, Avery\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee, Nevaeh, Avery for 53 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Nevaeh, Avery in the early evening on 2011/06/03?\", \"53 minutes\"], [\"who did I talk to on 2011/06/03?\", \"Piper, Rylee, Nevaeh, Avery\"], [\"Did I talk to Piper, Rylee, Nevaeh, Avery on 2011/06/03?\", \"yes\"], [\"Did I talk to anyone on 2011/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2240\", \"logical_representation\": [\"2011/06/03\", \"Kinsley, Claire\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Kinsley, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire in the early evening on 2011/06/03?\", \"20 minutes\"], [\"who did I talk to on 2011/06/03?\", \"Kinsley, Claire\"], [\"Did I talk to Kinsley, Claire on 2011/06/03?\", \"yes\"], [\"Did I talk to anyone on 2011/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2241\", \"logical_representation\": [\"2011/06/03\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/06/03?\", \"29 minutes\"], [\"what did I read on 2011/06/03?\", \"a book\"], [\"Did I read on 2011/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2242\", \"logical_representation\": [\"2011/06/03\", \"a documentary\", \"31 minutes\"], \"text_template_based\": \"I watched a documentary for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/03?\", \"31 minutes\"], [\"what did I watch on tv on 2011/06/03?\", \"a documentary\"], [\"Did I watch tv on 2011/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/29\": {\"grocery\": {\"eid\": \"e1577\", \"logical_representation\": [\"2011/05/29\", \"I bought some oranges, nectarines, pears, coffee, mango juice, mouthwash, toothbrush, shaving cream from the grocery store. I saw Eva, Hazel at the grocery store.\", \"oranges, nectarines, pears\", \"coffee, mango juice\", \"mouthwash, toothbrush, shaving cream\", \"Eva, Hazel\"], \"text_template_based\": \"I bought some oranges, nectarines, pears, coffee, mango juice, mouthwash, toothbrush, shaving cream from the grocery store. I saw Eva, Hazel at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/05/29?\", \"oranges, nectarines, pears, coffee, mango juice, and mouthwash, toothbrush, shaving cream\"], [\"what fruits did I buy from the grocery store on 2011/05/29?\", \"oranges, nectarines, pears\"], [\"what drinks did I buy from the grocery store on 2011/05/29?\", \"coffee, mango juice\"], [\"what toiletries did I buy from the grocery store on 2011/05/29?\", \"mouthwash, toothbrush, shaving cream\"], [\"who did I see at the grocery store on 2011/05/29?\", \"Eva, Hazel\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2220\", \"logical_representation\": [\"2011/05/29\", \"Piper, Claire, Piper\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Piper for 38 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Piper in the early evening on 2011/05/29?\", \"38 minutes\"], [\"who did I talk to on 2011/05/29?\", \"Piper, Claire, Piper\"], [\"Did I talk to Piper, Claire, Piper on 2011/05/29?\", \"yes\"], [\"Did I talk to anyone on 2011/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2221\", \"logical_representation\": [\"2011/05/29\", \"news\", \"25 minutes\"], \"text_template_based\": \"I watched news for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/29?\", \"25 minutes\"], [\"what did I watch on tv on 2011/05/29?\", \"news\"], [\"Did I watch tv on 2011/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/08\": {\"dating\": {\"eid\": \"e1578\", \"logical_representation\": [\"2011/06/08\", \"Aaron\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Aaron on 2011/06/08 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/06/08\", \"Aaron\"], [\"where did I go for the date on 2011/06/08\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2256\", \"logical_representation\": [\"2011/06/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/06/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2257\", \"logical_representation\": [\"2011/06/08\", \"lunch\", \"fish and chips\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/06/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2258\", \"logical_representation\": [\"2011/06/08\", \"dinner\", \"sushi\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/06/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2259\", \"logical_representation\": [\"2011/06/08\", \"Olivia, Lydia, Nora\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Olivia, Lydia, Nora for 14 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia, Nora in the early evening on 2011/06/08?\", \"14 minutes\"], [\"who did I talk to on 2011/06/08?\", \"Olivia, Lydia, Nora\"], [\"Did I talk to Olivia, Lydia, Nora on 2011/06/08?\", \"yes\"], [\"Did I talk to anyone on 2011/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2260\", \"logical_representation\": [\"2011/06/08\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/06/08?\", \"6 minutes\"], [\"what did I read on 2011/06/08?\", \"social media\"], [\"Did I read on 2011/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2261\", \"logical_representation\": [\"2011/06/08\", \"a documentary\", \"55 minutes\"], \"text_template_based\": \"I watched a documentary for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/08?\", \"55 minutes\"], [\"what did I watch on tv on 2011/06/08?\", \"a documentary\"], [\"Did I watch tv on 2011/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/06\": {\"grocery\": {\"eid\": \"e1579\", \"logical_representation\": [\"2011/06/06\", \"I bought some apples, peaches, bananas, blueberries, coffee, soda, orange juice, toothbrush online.\", \"apples, peaches, bananas, blueberries\", \"coffee, soda, orange juice\", \"toothbrush\", \"Piper, Layla, Olivia, Lydia, Claire, Rylee, Hazel\"], \"text_template_based\": \"I bought some apples, peaches, bananas, blueberries, coffee, soda, orange juice, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/06/06?\", \"apples, peaches, bananas, blueberries, coffee, soda, orange juice, and toothbrush\"], [\"what fruits did I buy online on 2011/06/06?\", \"apples, peaches, bananas, blueberries\"], [\"what drinks did I buy online on 2011/06/06?\", \"coffee, soda, orange juice\"], [\"what toiletries did I buy online on 2011/06/06?\", \"toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2250\", \"logical_representation\": [\"2011/06/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/06/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2251\", \"logical_representation\": [\"2011/06/06\", \"breakfast\", \"toast and cheese\", \"Nora, Nevaeh, Lydia, Piper, Claire, Piper, Rylee, Olivia, Avery, Hazel, Eva, Layla, Kinsley\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2252\", \"logical_representation\": [\"2011/06/06\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/06/06?\", \"55 minutes\"], [\"what did I read on 2011/06/06?\", \"social media\"], [\"Did I read on 2011/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/14\": {\"dating\": {\"eid\": \"e1580\", \"logical_representation\": [\"2011/06/14\", \"Ella\", \"a park\"], \"text_template_based\": \"On 2011/06/14, I took Ella on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/06/14\", \"Ella\"], [\"where did I go for the date on 2011/06/14\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e1581\", \"logical_representation\": [\"2011/06/14\", \"I spent some time learning a language on 2011/06/14.\", \"learning a language\", \"Andrew\"], \"text_template_based\": \"I spent some time learning a language on 2011/06/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2011/06/14\"], [\"On 2011/06/14, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1583\", \"logical_representation\": [\"2011/06/14\", \"I bought some cherres, apricots, mango juice, guava juice, tea, facial wash, toothpaste online.\", \"cherres, apricots\", \"mango juice, guava juice, tea\", \"facial wash, toothpaste\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I bought some cherres, apricots, mango juice, guava juice, tea, facial wash, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/06/14?\", \"cherres, apricots, mango juice, guava juice, tea, and facial wash, toothpaste\"], [\"what fruits did I buy online on 2011/06/14?\", \"cherres, apricots\"], [\"what drinks did I buy online on 2011/06/14?\", \"mango juice, guava juice, tea\"], [\"what toiletries did I buy online on 2011/06/14?\", \"facial wash, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2276\", \"logical_representation\": [\"2011/06/14\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/06/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/14?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2277\", \"logical_representation\": [\"2011/06/14\", \"lunch\", \"a burger\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/06/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2278\", \"logical_representation\": [\"2011/06/14\", \"dinner\", \"tacos\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/06/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2279\", \"logical_representation\": [\"2011/06/14\", \"Piper, Kinsley, Lydia\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Piper, Kinsley, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Lydia in the early afternoon on 2011/06/14?\", \"16 minutes\"], [\"who did I talk to on 2011/06/14?\", \"Piper, Kinsley, Lydia\"], [\"Did I talk to Piper, Kinsley, Lydia on 2011/06/14?\", \"yes\"], [\"Did I talk to anyone on 2011/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2280\", \"logical_representation\": [\"2011/06/14\", \"Kinsley, Claire, Nevaeh, Hazel\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Kinsley, Claire, Nevaeh, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Nevaeh, Hazel late in the evening on 2011/06/14?\", \"38 minutes\"], [\"who did I talk to on 2011/06/14?\", \"Kinsley, Claire, Nevaeh, Hazel\"], [\"Did I talk to Kinsley, Claire, Nevaeh, Hazel on 2011/06/14?\", \"yes\"], [\"Did I talk to anyone on 2011/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2281\", \"logical_representation\": [\"2011/06/14\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/06/14?\", \"7 minutes\"], [\"what did I read on 2011/06/14?\", \"news\"], [\"Did I read on 2011/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/11\": {\"grocery\": {\"eid\": \"e1582\", \"logical_representation\": [\"2011/06/11\", \"I bought some apricots, coffee, mango juice, mineral water, mouthwash, toothbrush from the grocery store. I saw Kayden, Emily at the grocery store.\", \"apricots\", \"coffee, mango juice, mineral water\", \"mouthwash, toothbrush\", \"Kayden, Emily\"], \"text_template_based\": \"I bought some apricots, coffee, mango juice, mineral water, mouthwash, toothbrush from the grocery store. I saw Kayden, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/06/11?\", \"apricots, coffee, mango juice, mineral water, and mouthwash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2011/06/11?\", \"apricots\"], [\"what drinks did I buy from the grocery store on 2011/06/11?\", \"coffee, mango juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2011/06/11?\", \"mouthwash, toothbrush\"], [\"who did I see at the grocery store on 2011/06/11?\", \"Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2268\", \"logical_representation\": [\"2011/06/11\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2269\", \"logical_representation\": [\"2011/06/11\", \"Kinsley, Avery, Nora\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Kinsley, Avery, Nora for 34 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Nora in the early evening on 2011/06/11?\", \"34 minutes\"], [\"who did I talk to on 2011/06/11?\", \"Kinsley, Avery, Nora\"], [\"Did I talk to Kinsley, Avery, Nora on 2011/06/11?\", \"yes\"], [\"Did I talk to anyone on 2011/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2270\", \"logical_representation\": [\"2011/06/11\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/06/11?\", \"5 minutes\"], [\"what did I read on 2011/06/11?\", \"a book\"], [\"Did I read on 2011/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/18\": {\"grocery\": {\"eid\": \"e1584\", \"logical_representation\": [\"2011/06/18\", \"I went grocery shopping. I bought some bananas, apples, soda, mineral water, and toothpaste, body lotion, toilet paper\", \"bananas, apples\", \"soda, mineral water\", \"toothpaste, body lotion, toilet paper\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, apples, soda, mineral water, and toothpaste, body lotion, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/06/18?\", \"bananas, apples, soda, mineral water, and toothpaste, body lotion, toilet paper\"], [\"what fruits did I buy from the grocery store on 2011/06/18?\", \"bananas, apples\"], [\"what drinks did I buy from the grocery store on 2011/06/18?\", \"soda, mineral water\"], [\"what toiletries did I buy from the grocery store on 2011/06/18?\", \"toothpaste, body lotion, toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2297\", \"logical_representation\": [\"2011/06/18\", \"running\"], \"text_template_based\": \"I did running on 2011/06/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/18?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2298\", \"logical_representation\": [\"2011/06/18\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2299\", \"logical_representation\": [\"2011/06/18\", \"dinner\", \"sandwich\", \"Jackson, Avery\"], \"text_template_based\": \"I had sandwich for dinner with Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/06/18?\", \"Jackson, Avery\"], [\"what did I eat for dinner on 2011/06/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2300\", \"logical_representation\": [\"2011/06/18\", \"Rylee, Lydia, Hazel, Nevaeh\", \"during lunch hours\", \"52 minutes\"], \"text_template_based\": \"I talked to Rylee, Lydia, Hazel, Nevaeh for 52 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Hazel, Nevaeh during lunch hours on 2011/06/18?\", \"52 minutes\"], [\"who did I talk to on 2011/06/18?\", \"Rylee, Lydia, Hazel, Nevaeh\"], [\"Did I talk to Rylee, Lydia, Hazel, Nevaeh on 2011/06/18?\", \"yes\"], [\"Did I talk to anyone on 2011/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2301\", \"logical_representation\": [\"2011/06/18\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/06/18?\", \"32 minutes\"], [\"what did I read on 2011/06/18?\", \"news\"], [\"Did I read on 2011/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/24\": {\"grocery\": {\"eid\": \"e1585\", \"logical_representation\": [\"2011/06/24\", \"I went grocery shopping. I bought some mangos, strawberries, pineapples, apricots, apple juice, coffee, pineapple juice, and toothpaste, facial wash\", \"mangos, strawberries, pineapples, apricots\", \"apple juice, coffee, pineapple juice\", \"toothpaste, facial wash\", \"Benjamin, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, strawberries, pineapples, apricots, apple juice, coffee, pineapple juice, and toothpaste, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/06/24?\", \"mangos, strawberries, pineapples, apricots, apple juice, coffee, pineapple juice, and toothpaste, facial wash\"], [\"what fruits did I buy from the grocery store on 2011/06/24?\", \"mangos, strawberries, pineapples, apricots\"], [\"what drinks did I buy from the grocery store on 2011/06/24?\", \"apple juice, coffee, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2011/06/24?\", \"toothpaste, facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2322\", \"logical_representation\": [\"2011/06/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/06/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2323\", \"logical_representation\": [\"2011/06/24\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/06/24?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2011/06/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2324\", \"logical_representation\": [\"2011/06/24\", \"Layla, Claire\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I talked to Layla, Claire for 26 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire in the morning on 2011/06/24?\", \"26 minutes\"], [\"who did I talk to on 2011/06/24?\", \"Layla, Claire\"], [\"Did I talk to Layla, Claire on 2011/06/24?\", \"yes\"], [\"Did I talk to anyone on 2011/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2325\", \"logical_representation\": [\"2011/06/24\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/06/24?\", \"16 minutes\"], [\"what did I read on 2011/06/24?\", \"a book\"], [\"Did I read on 2011/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/25\": {\"dating\": {\"eid\": \"e1586\", \"logical_representation\": [\"2011/06/25\", \"Alon\", \"a park\"], \"text_template_based\": \"I went on a date with Alon on 2011/06/25 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/06/25\", \"Alon\"], [\"where did I go for the date on 2011/06/25\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2326\", \"logical_representation\": [\"2011/06/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2327\", \"logical_representation\": [\"2011/06/25\", \"lunch\", \"steak\", \"Nora\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/06/25\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2011/06/30\": {\"hobbies\": {\"eid\": \"e1587\", \"logical_representation\": [\"2011/06/30\", \"I spent time gardening on 2011/06/30 with Andrew, Carter, Emily.\", \"gardening\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I spent time gardening on 2011/06/30 with Andrew, Carter, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Andrew, Carter, Emily?\", \"2011/06/30\"], [\"On 2011/06/30, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2011/06/30?\", \"Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1588\", \"logical_representation\": [\"2011/06/30\", \"I bought some strawberries, clementines, oranges, mineral water, sports drinks, tea, facial wash, toilet paper, mouthwash online.\", \"strawberries, clementines, oranges\", \"mineral water, sports drinks, tea\", \"facial wash, toilet paper, mouthwash\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I bought some strawberries, clementines, oranges, mineral water, sports drinks, tea, facial wash, toilet paper, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/06/30?\", \"strawberries, clementines, oranges, mineral water, sports drinks, tea, and facial wash, toilet paper, mouthwash\"], [\"what fruits did I buy online on 2011/06/30?\", \"strawberries, clementines, oranges\"], [\"what drinks did I buy online on 2011/06/30?\", \"mineral water, sports drinks, tea\"], [\"what toiletries did I buy online on 2011/06/30?\", \"facial wash, toilet paper, mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2343\", \"logical_representation\": [\"2011/06/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/06/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2344\", \"logical_representation\": [\"2011/06/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2345\", \"logical_representation\": [\"2011/06/30\", \"lunch\", \"tacos\", \"Piper, Hazel, Layla, Rylee\"], \"text_template_based\": \"I had tacos for lunch with Piper, Hazel, Layla, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/06/30?\", \"Piper, Hazel, Layla, Rylee\"], [\"what did I eat for lunch on 2011/06/30\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2346\", \"logical_representation\": [\"2011/06/30\", \"Avery\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I talked to Avery for 49 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early afternoon on 2011/06/30?\", \"49 minutes\"], [\"who did I talk to on 2011/06/30?\", \"Avery\"], [\"Did I talk to Avery on 2011/06/30?\", \"yes\"], [\"Did I talk to anyone on 2011/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2347\", \"logical_representation\": [\"2011/06/30\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/06/30?\", \"49 minutes\"], [\"what did I read on 2011/06/30?\", \"news\"], [\"Did I read on 2011/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2348\", \"logical_representation\": [\"2011/06/30\", \"a movie\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/30?\", \"54 minutes\"], [\"what did I watch on tv on 2011/06/30?\", \"a movie\"], [\"Did I watch tv on 2011/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/04\": {\"dating\": {\"eid\": \"e1589\", \"logical_representation\": [\"2011/07/04\", \"Kai\", \"a boba shop\"], \"text_template_based\": \"On 2011/07/04, I took Kai on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/07/04\", \"Kai\"], [\"where did I go for the date on 2011/07/04\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1592\", \"logical_representation\": [\"2011/07/04\", \"I went grocery shopping. I bought some apples, mangos, guava, guava juice, tea, and body lotion, facial wash, toilet paper\", \"apples, mangos, guava\", \"guava juice, tea\", \"body lotion, facial wash, toilet paper\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, mangos, guava, guava juice, tea, and body lotion, facial wash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/07/04?\", \"apples, mangos, guava, guava juice, tea, and body lotion, facial wash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2011/07/04?\", \"apples, mangos, guava\"], [\"what drinks did I buy from the grocery store on 2011/07/04?\", \"guava juice, tea\"], [\"what toiletries did I buy from the grocery store on 2011/07/04?\", \"body lotion, facial wash, toilet paper\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2362\", \"logical_representation\": [\"2011/07/04\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/07/04?\", \"33 minutes\"], [\"what did I read on 2011/07/04?\", \"social media\"], [\"Did I read on 2011/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/08\": {\"dating\": {\"eid\": \"e1590\", \"logical_representation\": [\"2011/07/08\", \"Josiah\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Josiah on 2011/07/08 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/07/08\", \"Josiah\"], [\"where did I go for the date on 2011/07/08\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2376\", \"logical_representation\": [\"2011/07/08\", \"Nevaeh, Rylee, Piper, Piper\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee, Piper, Piper for 54 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Piper, Piper in the morning on 2011/07/08?\", \"54 minutes\"], [\"who did I talk to on 2011/07/08?\", \"Nevaeh, Rylee, Piper, Piper\"], [\"Did I talk to Nevaeh, Rylee, Piper, Piper on 2011/07/08?\", \"yes\"], [\"Did I talk to anyone on 2011/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2377\", \"logical_representation\": [\"2011/07/08\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/07/08?\", \"45 minutes\"], [\"what did I read on 2011/07/08?\", \"news\"], [\"Did I read on 2011/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2378\", \"logical_representation\": [\"2011/07/08\", \"a movie\", \"27 minutes\"], \"text_template_based\": \"I watched a movie for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/08?\", \"27 minutes\"], [\"what did I watch on tv on 2011/07/08?\", \"a movie\"], [\"Did I watch tv on 2011/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/03\": {\"hobbies\": {\"eid\": \"e1591\", \"logical_representation\": [\"2011/07/03\", \"I really enjoyed working out on 2011/07/03\", \"working out\", \"Andrew, Emily\"], \"text_template_based\": \"I really enjoyed working out on 2011/07/03\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2011/07/03\"], [\"On 2011/07/03, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2359\", \"logical_representation\": [\"2011/07/03\", \"running\"], \"text_template_based\": \"I did running on 2011/07/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2360\", \"logical_representation\": [\"2011/07/03\", \"Avery, Rylee, Nora, Lydia\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I talked to Avery, Rylee, Nora, Lydia for 19 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee, Nora, Lydia in the morning on 2011/07/03?\", \"19 minutes\"], [\"who did I talk to on 2011/07/03?\", \"Avery, Rylee, Nora, Lydia\"], [\"Did I talk to Avery, Rylee, Nora, Lydia on 2011/07/03?\", \"yes\"], [\"Did I talk to anyone on 2011/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2361\", \"logical_representation\": [\"2011/07/03\", \"news\", \"21 minutes\"], \"text_template_based\": \"I watched news for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/03?\", \"21 minutes\"], [\"what did I watch on tv on 2011/07/03?\", \"news\"], [\"Did I watch tv on 2011/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/06\": {\"grocery\": {\"eid\": \"e1593\", \"logical_representation\": [\"2011/07/06\", \"I went grocery shopping with Avery, Layla, Hazel, Olivia, Claire. I bought some mandarins, oranges, cherres, orange juice, mineral water, guava juice, and shaving cream, toilet paper, body lotion, conditioner\", \"mandarins, oranges, cherres\", \"orange juice, mineral water, guava juice\", \"shaving cream, toilet paper, body lotion, conditioner\", \"Avery, Layla, Hazel, Olivia, Claire\"], \"text_template_based\": \"I went grocery shopping with Avery, Layla, Hazel, Olivia, Claire. I bought some mandarins, oranges, cherres, orange juice, mineral water, guava juice, and shaving cream, toilet paper, body lotion, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/07/06?\", \"mandarins, oranges, cherres, orange juice, mineral water, guava juice, and shaving cream, toilet paper, body lotion, conditioner\"], [\"what fruits did I buy from the grocery store on 2011/07/06?\", \"mandarins, oranges, cherres\"], [\"what drinks did I buy from the grocery store on 2011/07/06?\", \"orange juice, mineral water, guava juice\"], [\"what toiletries did I buy from the grocery store on 2011/07/06?\", \"shaving cream, toilet paper, body lotion, conditioner\"], [\"who was with me at the grocery store on 2011/07/06?\", \"Avery, Layla, Hazel, Olivia, Claire\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2370\", \"logical_representation\": [\"2011/07/06\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had oatmeal for breakfast with Emily, Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/07/06?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for breakfast on 2011/07/06\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2371\", \"logical_representation\": [\"2011/07/06\", \"lunch\", \"indian food\", \"Lydia, Eva, Layla, Piper, Nevaeh, Piper, Nora, Hazel, Claire, Kinsley, Rylee, Avery\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/07/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2372\", \"logical_representation\": [\"2011/07/06\", \"Claire, Avery, Lydia\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Claire, Avery, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Lydia in the early afternoon on 2011/07/06?\", \"16 minutes\"], [\"who did I talk to on 2011/07/06?\", \"Claire, Avery, Lydia\"], [\"Did I talk to Claire, Avery, Lydia on 2011/07/06?\", \"yes\"], [\"Did I talk to anyone on 2011/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/10\": {\"hobbies\": {\"eid\": \"e1594\", \"logical_representation\": [\"2011/07/10\", \"I spent time meditation on 2011/07/10 with Carter.\", \"meditation\", \"Carter\"], \"text_template_based\": \"I spent time meditation on 2011/07/10 with Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Carter?\", \"2011/07/10\"], [\"On 2011/07/10, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2011/07/10?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2382\", \"logical_representation\": [\"2011/07/10\", \"biking\"], \"text_template_based\": \"I did biking on 2011/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2383\", \"logical_representation\": [\"2011/07/10\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/07/10?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2011/07/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2384\", \"logical_representation\": [\"2011/07/10\", \"lunch\", \"chinese food\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/07/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2385\", \"logical_representation\": [\"2011/07/10\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/07/10?\", \"10 minutes\"], [\"what did I read on 2011/07/10?\", \"news\"], [\"Did I read on 2011/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/12\": {\"grocery\": {\"eid\": \"e1595\", \"logical_representation\": [\"2011/07/12\", \"I bought some watermelons, strawberries, mandarins, guava juice, mango juice, mouthwash from the grocery store. I saw Benjamin, Willow, Jackson, Avery at the grocery store.\", \"watermelons, strawberries, mandarins\", \"guava juice, mango juice\", \"mouthwash\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I bought some watermelons, strawberries, mandarins, guava juice, mango juice, mouthwash from the grocery store. I saw Benjamin, Willow, Jackson, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/07/12?\", \"watermelons, strawberries, mandarins, guava juice, mango juice, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2011/07/12?\", \"watermelons, strawberries, mandarins\"], [\"what drinks did I buy from the grocery store on 2011/07/12?\", \"guava juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2011/07/12?\", \"mouthwash\"], [\"who did I see at the grocery store on 2011/07/12?\", \"Benjamin, Willow, Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2389\", \"logical_representation\": [\"2011/07/12\", \"biking\"], \"text_template_based\": \"I did biking on 2011/07/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/12?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2390\", \"logical_representation\": [\"2011/07/12\", \"breakfast\", \"toast and cheese\", \"Nevaeh\"], \"text_template_based\": \"I had breakfast with Nevaeh. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/07/12?\", \"Nevaeh\"], [\"what did I eat for breakfast on 2011/07/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2391\", \"logical_representation\": [\"2011/07/12\", \"lunch\", \"a burger\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had a burger for lunch with Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/07/12?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for lunch on 2011/07/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2392\", \"logical_representation\": [\"2011/07/12\", \"Piper, Rylee, Piper\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Piper, Rylee, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Piper in the morning on 2011/07/12?\", \"5 minutes\"], [\"who did I talk to on 2011/07/12?\", \"Piper, Rylee, Piper\"], [\"Did I talk to Piper, Rylee, Piper on 2011/07/12?\", \"yes\"], [\"Did I talk to anyone on 2011/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2393\", \"logical_representation\": [\"2011/07/12\", \"a documentary\", \"18 minutes\"], \"text_template_based\": \"I watched a documentary for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/12?\", \"18 minutes\"], [\"what did I watch on tv on 2011/07/12?\", \"a documentary\"], [\"Did I watch tv on 2011/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/21\": {\"dating\": {\"eid\": \"e1596\", \"logical_representation\": [\"2011/07/21\", \"Alice\", \"a boba shop\"], \"text_template_based\": \"On 2011/07/21, I took Alice on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/07/21\", \"Alice\"], [\"where did I go for the date on 2011/07/21\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e1598\", \"logical_representation\": [\"2011/07/21\", \"I really enjoyed working out on 2011/07/21\", \"working out\", \"Lydia, Claire, Layla\"], \"text_template_based\": \"I really enjoyed working out on 2011/07/21\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2011/07/21\"], [\"On 2011/07/21, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2423\", \"logical_representation\": [\"2011/07/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2424\", \"logical_representation\": [\"2011/07/21\", \"dinner\", \"steak\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had dinner with Avery, Jackson, Willow. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/07/21?\", \"Avery, Jackson, Willow\"], [\"what did I eat for dinner on 2011/07/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2425\", \"logical_representation\": [\"2011/07/21\", \"Rylee, Nevaeh, Piper\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh, Piper for 22 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Piper in the morning on 2011/07/21?\", \"22 minutes\"], [\"who did I talk to on 2011/07/21?\", \"Rylee, Nevaeh, Piper\"], [\"Did I talk to Rylee, Nevaeh, Piper on 2011/07/21?\", \"yes\"], [\"Did I talk to anyone on 2011/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2426\", \"logical_representation\": [\"2011/07/21\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/07/21?\", \"42 minutes\"], [\"what did I read on 2011/07/21?\", \"news\"], [\"Did I read on 2011/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2427\", \"logical_representation\": [\"2011/07/21\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/21?\", \"36 minutes\"], [\"what did I watch on tv on 2011/07/21?\", \"news\"], [\"Did I watch tv on 2011/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/16\": {\"hobbies\": {\"eid\": \"e1597\", \"logical_representation\": [\"2011/07/16\", \"I spent some time yoga on 2011/07/16.\", \"yoga\", \"Hazel, Eva, Lydia\"], \"text_template_based\": \"I spent some time yoga on 2011/07/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2011/07/16\"], [\"On 2011/07/16, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2403\", \"logical_representation\": [\"2011/07/16\", \"running\"], \"text_template_based\": \"I did running on 2011/07/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2404\", \"logical_representation\": [\"2011/07/16\", \"lunch\", \"fish and chips\", \"Avery, Layla, Claire\"], \"text_template_based\": \"I had lunch with Avery, Layla, Claire. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/07/16?\", \"Avery, Layla, Claire\"], [\"what did I eat for lunch on 2011/07/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2405\", \"logical_representation\": [\"2011/07/16\", \"Piper, Nora\", \"in the morning\", \"12 minutes\"], \"text_template_based\": \"I talked to Piper, Nora for 12 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora in the morning on 2011/07/16?\", \"12 minutes\"], [\"who did I talk to on 2011/07/16?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2011/07/16?\", \"yes\"], [\"Did I talk to anyone on 2011/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2406\", \"logical_representation\": [\"2011/07/16\", \"a tv series\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/16?\", \"16 minutes\"], [\"what did I watch on tv on 2011/07/16?\", \"a tv series\"], [\"Did I watch tv on 2011/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/19\": {\"grocery\": {\"eid\": \"e1599\", \"logical_representation\": [\"2011/07/19\", \"I went grocery shopping with Avery, Benjamin, Willow. I bought some watermelons, mandarins, pineapples, apple juice, guava juice, and body lotion, mouthwash, paper towel, shaving cream\", \"watermelons, mandarins, pineapples\", \"apple juice, guava juice\", \"body lotion, mouthwash, paper towel, shaving cream\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I went grocery shopping with Avery, Benjamin, Willow. I bought some watermelons, mandarins, pineapples, apple juice, guava juice, and body lotion, mouthwash, paper towel, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/07/19?\", \"watermelons, mandarins, pineapples, apple juice, guava juice, and body lotion, mouthwash, paper towel, shaving cream\"], [\"what fruits did I buy from the grocery store on 2011/07/19?\", \"watermelons, mandarins, pineapples\"], [\"what drinks did I buy from the grocery store on 2011/07/19?\", \"apple juice, guava juice\"], [\"what toiletries did I buy from the grocery store on 2011/07/19?\", \"body lotion, mouthwash, paper towel, shaving cream\"], [\"who was with me at the grocery store on 2011/07/19?\", \"Avery, Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2415\", \"logical_representation\": [\"2011/07/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/07/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2416\", \"logical_representation\": [\"2011/07/19\", \"Avery, Lydia, Rylee\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Avery, Lydia, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Rylee late in the evening on 2011/07/19?\", \"43 minutes\"], [\"who did I talk to on 2011/07/19?\", \"Avery, Lydia, Rylee\"], [\"Did I talk to Avery, Lydia, Rylee on 2011/07/19?\", \"yes\"], [\"Did I talk to anyone on 2011/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2417\", \"logical_representation\": [\"2011/07/19\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/07/19?\", \"13 minutes\"], [\"what did I read on 2011/07/19?\", \"a book\"], [\"Did I read on 2011/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2418\", \"logical_representation\": [\"2011/07/19\", \"a tv series\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/19?\", \"31 minutes\"], [\"what did I watch on tv on 2011/07/19?\", \"a tv series\"], [\"Did I watch tv on 2011/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/25\": {\"dating\": {\"eid\": \"e1600\", \"logical_representation\": [\"2011/07/25\", \"Ethan\", \"a park\"], \"text_template_based\": \"I went on a date with Ethan on 2011/07/25 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/07/25\", \"Ethan\"], [\"where did I go for the date on 2011/07/25\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2444\", \"logical_representation\": [\"2011/07/25\", \"biking\"], \"text_template_based\": \"I did biking on 2011/07/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/25?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2445\", \"logical_representation\": [\"2011/07/25\", \"breakfast\", \"oatmeal\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2446\", \"logical_representation\": [\"2011/07/25\", \"lunch\", \"sandwich\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had lunch with Benjamin, Avery, Willow, Jackson. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/07/25?\", \"Benjamin, Avery, Willow, Jackson\"], [\"what did I eat for lunch on 2011/07/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2447\", \"logical_representation\": [\"2011/07/25\", \"dinner\", \"pasta\", \"Lydia, Piper, Avery, Kinsley\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/07/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2448\", \"logical_representation\": [\"2011/07/25\", \"Kinsley, Lydia, Claire\", \"in the early afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia, Claire for 14 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Claire in the early afternoon on 2011/07/25?\", \"14 minutes\"], [\"who did I talk to on 2011/07/25?\", \"Kinsley, Lydia, Claire\"], [\"Did I talk to Kinsley, Lydia, Claire on 2011/07/25?\", \"yes\"], [\"Did I talk to anyone on 2011/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2449\", \"logical_representation\": [\"2011/07/25\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/25?\", \"5 minutes\"], [\"what did I watch on tv on 2011/07/25?\", \"news\"], [\"Did I watch tv on 2011/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/29\": {\"hobbies\": {\"eid\": \"e1601\", \"logical_representation\": [\"2011/07/29\", \"I spent some time meditation on 2011/07/29.\", \"meditation\", \"Lydia, Nevaeh, Piper\"], \"text_template_based\": \"I spent some time meditation on 2011/07/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2011/07/29\"], [\"On 2011/07/29, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2462\", \"logical_representation\": [\"2011/07/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2463\", \"logical_representation\": [\"2011/07/29\", \"lunch\", \"chinese food\", \"Piper, Avery, Piper, Nora, Kinsley, Lydia, Rylee\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/07/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2464\", \"logical_representation\": [\"2011/07/29\", \"dinner\", \"fish and chips\", \"Layla, Olivia, Avery, Claire, Piper, Kinsley, Rylee, Piper, Nora, Eva, Lydia\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/07/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2465\", \"logical_representation\": [\"2011/07/29\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/07/29?\", \"22 minutes\"], [\"what did I read on 2011/07/29?\", \"social media\"], [\"Did I read on 2011/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/24\": {\"grocery\": {\"eid\": \"e1602\", \"logical_representation\": [\"2011/07/24\", \"I bought some apricots, oranges, soda, body lotion, mouth wash online.\", \"apricots, oranges\", \"soda\", \"body lotion, mouth wash\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I bought some apricots, oranges, soda, body lotion, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/07/24?\", \"apricots, oranges, soda, and body lotion, mouth wash\"], [\"what fruits did I buy online on 2011/07/24?\", \"apricots, oranges\"], [\"what drinks did I buy online on 2011/07/24?\", \"soda\"], [\"what toiletries did I buy online on 2011/07/24?\", \"body lotion, mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2438\", \"logical_representation\": [\"2011/07/24\", \"breakfast\", \"peanut-butter-jam\", \"Eva, Rylee, Piper, Piper, Nevaeh, Kinsley, Hazel, Claire\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2439\", \"logical_representation\": [\"2011/07/24\", \"lunch\", \"tacos\", \"Hazel, Rylee\"], \"text_template_based\": \"I had lunch with Hazel, Rylee. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/07/24?\", \"Hazel, Rylee\"], [\"what did I eat for lunch on 2011/07/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2440\", \"logical_representation\": [\"2011/07/24\", \"Lydia, Rylee\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee for 51 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee during lunch hours on 2011/07/24?\", \"51 minutes\"], [\"who did I talk to on 2011/07/24?\", \"Lydia, Rylee\"], [\"Did I talk to Lydia, Rylee on 2011/07/24?\", \"yes\"], [\"Did I talk to anyone on 2011/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2441\", \"logical_representation\": [\"2011/07/24\", \"Lydia, Nora\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Lydia, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora in the early evening on 2011/07/24?\", \"41 minutes\"], [\"who did I talk to on 2011/07/24?\", \"Lydia, Nora\"], [\"Did I talk to Lydia, Nora on 2011/07/24?\", \"yes\"], [\"Did I talk to anyone on 2011/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2442\", \"logical_representation\": [\"2011/07/24\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/07/24?\", \"26 minutes\"], [\"what did I read on 2011/07/24?\", \"a book\"], [\"Did I read on 2011/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2443\", \"logical_representation\": [\"2011/07/24\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/24?\", \"20 minutes\"], [\"what did I watch on tv on 2011/07/24?\", \"news\"], [\"Did I watch tv on 2011/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/04\": {\"dating\": {\"eid\": \"e1603\", \"logical_representation\": [\"2011/08/04\", \"David\", \"a restaurant\"], \"text_template_based\": \"I went on a date with David on 2011/08/04 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/08/04\", \"David\"], [\"where did I go for the date on 2011/08/04\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2486\", \"logical_representation\": [\"2011/08/04\", \"breakfast\", \"toast and cheese\", \"Piper, Nevaeh, Eva, Piper, Lydia, Rylee, Avery, Claire, Nora\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2487\", \"logical_representation\": [\"2011/08/04\", \"lunch\", \"pasta\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/08/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2488\", \"logical_representation\": [\"2011/08/04\", \"dinner\", \"fish and chips\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had dinner with Avery, Jackson, Willow, Benjamin. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/04?\", \"Avery, Jackson, Willow, Benjamin\"], [\"what did I eat for dinner on 2011/08/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2011/08/05\": {\"hobbies\": {\"eid\": \"e1604\", \"logical_representation\": [\"2011/08/05\", \"I spent some time gardening on 2011/08/05.\", \"gardening\", \"Emily, Andrew\"], \"text_template_based\": \"I spent some time gardening on 2011/08/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2011/08/05\"], [\"On 2011/08/05, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2489\", \"logical_representation\": [\"2011/08/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/08/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2490\", \"logical_representation\": [\"2011/08/05\", \"dinner\", \"sushi\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had sushi for dinner with Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/05?\", \"Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2011/08/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2491\", \"logical_representation\": [\"2011/08/05\", \"Avery\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2011/08/05?\", \"35 minutes\"], [\"who did I talk to on 2011/08/05?\", \"Avery\"], [\"Did I talk to Avery on 2011/08/05?\", \"yes\"], [\"Did I talk to anyone on 2011/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2492\", \"logical_representation\": [\"2011/08/05\", \"Piper, Nevaeh, Rylee\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Rylee for 6 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Rylee in the early afternoon on 2011/08/05?\", \"6 minutes\"], [\"who did I talk to on 2011/08/05?\", \"Piper, Nevaeh, Rylee\"], [\"Did I talk to Piper, Nevaeh, Rylee on 2011/08/05?\", \"yes\"], [\"Did I talk to anyone on 2011/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2493\", \"logical_representation\": [\"2011/08/05\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/08/05?\", \"47 minutes\"], [\"what did I read on 2011/08/05?\", \"a book\"], [\"Did I read on 2011/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/01\": {\"grocery\": {\"eid\": \"e1605\", \"logical_representation\": [\"2011/08/01\", \"I bought some watermelons, peaches, mandarins, oranges, mineral water, pineapple juice, sports drinks, mouthwash, conditioner, toothpaste, paper towel from the grocery store. I saw Layla, Rylee, Hazel, Kinsley, Olivia, Lydia at the grocery store.\", \"watermelons, peaches, mandarins, oranges\", \"mineral water, pineapple juice, sports drinks\", \"mouthwash, conditioner, toothpaste, paper towel\", \"Layla, Rylee, Hazel, Kinsley, Olivia, Lydia\"], \"text_template_based\": \"I bought some watermelons, peaches, mandarins, oranges, mineral water, pineapple juice, sports drinks, mouthwash, conditioner, toothpaste, paper towel from the grocery store. I saw Layla, Rylee, Hazel, Kinsley, Olivia, Lydia at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/08/01?\", \"watermelons, peaches, mandarins, oranges, mineral water, pineapple juice, sports drinks, and mouthwash, conditioner, toothpaste, paper towel\"], [\"what fruits did I buy from the grocery store on 2011/08/01?\", \"watermelons, peaches, mandarins, oranges\"], [\"what drinks did I buy from the grocery store on 2011/08/01?\", \"mineral water, pineapple juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2011/08/01?\", \"mouthwash, conditioner, toothpaste, paper towel\"], [\"who did I see at the grocery store on 2011/08/01?\", \"Layla, Rylee, Hazel, Kinsley, Olivia, Lydia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2474\", \"logical_representation\": [\"2011/08/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2475\", \"logical_representation\": [\"2011/08/01\", \"breakfast\", \"peanut-butter-jam\", \"Nora\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2476\", \"logical_representation\": [\"2011/08/01\", \"lunch\", \"pasta\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/08/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2477\", \"logical_representation\": [\"2011/08/01\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/08/01?\", \"10 minutes\"], [\"what did I read on 2011/08/01?\", \"news\"], [\"Did I read on 2011/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2478\", \"logical_representation\": [\"2011/08/01\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/01?\", \"9 minutes\"], [\"what did I watch on tv on 2011/08/01?\", \"news\"], [\"Did I watch tv on 2011/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/07\": {\"dating\": {\"eid\": \"e1606\", \"logical_representation\": [\"2011/08/07\", \"Hailey\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Hailey on 2011/08/07 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/08/07\", \"Hailey\"], [\"where did I go for the date on 2011/08/07\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2498\", \"logical_representation\": [\"2011/08/07\", \"lunch\", \"chinese food\", \"Rylee, Avery, Piper, Kinsley, Hazel, Nora, Lydia, Layla, Nevaeh, Eva, Claire, Olivia\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/08/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2499\", \"logical_representation\": [\"2011/08/07\", \"dinner\", \"sushi\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/08/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2500\", \"logical_representation\": [\"2011/08/07\", \"Kinsley\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2011/08/07?\", \"47 minutes\"], [\"who did I talk to on 2011/08/07?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2011/08/07?\", \"yes\"], [\"Did I talk to anyone on 2011/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2501\", \"logical_representation\": [\"2011/08/07\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/07?\", \"27 minutes\"], [\"what did I watch on tv on 2011/08/07?\", \"news\"], [\"Did I watch tv on 2011/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/12\": {\"dating\": {\"eid\": \"e1607\", \"logical_representation\": [\"2011/08/12\", \"Axel\", \"a restaurant\"], \"text_template_based\": \"On 2011/08/12, I took Axel on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/08/12\", \"Axel\"], [\"where did I go for the date on 2011/08/12\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2519\", \"logical_representation\": [\"2011/08/12\", \"running\"], \"text_template_based\": \"I did running on 2011/08/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/12?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2520\", \"logical_representation\": [\"2011/08/12\", \"lunch\", \"steak\", \"Eva, Olivia, Nora, Piper, Piper, Kinsley, Nevaeh\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/08/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2521\", \"logical_representation\": [\"2011/08/12\", \"Claire, Eva, Nevaeh, Piper\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Claire, Eva, Nevaeh, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Nevaeh, Piper in the morning on 2011/08/12?\", \"17 minutes\"], [\"who did I talk to on 2011/08/12?\", \"Claire, Eva, Nevaeh, Piper\"], [\"Did I talk to Claire, Eva, Nevaeh, Piper on 2011/08/12?\", \"yes\"], [\"Did I talk to anyone on 2011/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2522\", \"logical_representation\": [\"2011/08/12\", \"news\", \"52 minutes\"], \"text_template_based\": \"I watched news for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/12?\", \"52 minutes\"], [\"what did I watch on tv on 2011/08/12?\", \"news\"], [\"Did I watch tv on 2011/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/06\": {\"hobbies\": {\"eid\": \"e1608\", \"logical_representation\": [\"2011/08/06\", \"I spent time learning a language on 2011/08/06 with Willow, Benjamin.\", \"learning a language\", \"Willow, Benjamin\"], \"text_template_based\": \"I spent time learning a language on 2011/08/06 with Willow, Benjamin.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Willow, Benjamin?\", \"2011/08/06\"], [\"On 2011/08/06, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2011/08/06?\", \"Willow, Benjamin\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2494\", \"logical_representation\": [\"2011/08/06\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2495\", \"logical_representation\": [\"2011/08/06\", \"dinner\", \"fish and chips\", \"Avery, Nora, Olivia, Piper, Piper, Nevaeh, Kinsley, Eva, Hazel\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/08/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2496\", \"logical_representation\": [\"2011/08/06\", \"Nevaeh\", \"in the early evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2011/08/06?\", \"31 minutes\"], [\"who did I talk to on 2011/08/06?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2011/08/06?\", \"yes\"], [\"Did I talk to anyone on 2011/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2497\", \"logical_representation\": [\"2011/08/06\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/06?\", \"10 minutes\"], [\"what did I watch on tv on 2011/08/06?\", \"a movie\"], [\"Did I watch tv on 2011/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/08\": {\"grocery\": {\"eid\": \"e1609\", \"logical_representation\": [\"2011/08/08\", \"I went grocery shopping with Andrew, Carter. I bought some pears, pineapples, mango juice, coffee, apple juice, tea, and shaving cream, toothpaste\", \"pears, pineapples\", \"mango juice, coffee, apple juice, tea\", \"shaving cream, toothpaste\", \"Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping with Andrew, Carter. I bought some pears, pineapples, mango juice, coffee, apple juice, tea, and shaving cream, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/08/08?\", \"pears, pineapples, mango juice, coffee, apple juice, tea, and shaving cream, toothpaste\"], [\"what fruits did I buy from the grocery store on 2011/08/08?\", \"pears, pineapples\"], [\"what drinks did I buy from the grocery store on 2011/08/08?\", \"mango juice, coffee, apple juice, tea\"], [\"what toiletries did I buy from the grocery store on 2011/08/08?\", \"shaving cream, toothpaste\"], [\"who was with me at the grocery store on 2011/08/08?\", \"Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2502\", \"logical_representation\": [\"2011/08/08\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/08/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/08?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2503\", \"logical_representation\": [\"2011/08/08\", \"lunch\", \"tacos\", \"Willow, Jackson\"], \"text_template_based\": \"I had tacos for lunch with Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/08/08?\", \"Willow, Jackson\"], [\"what did I eat for lunch on 2011/08/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2504\", \"logical_representation\": [\"2011/08/08\", \"dinner\", \"pasta\", \"Nora, Eva, Claire, Rylee, Lydia, Piper, Olivia, Avery, Hazel, Piper, Layla\"], \"text_template_based\": \"I had pasta for dinner with Nora, Eva, Claire, Rylee, Lydia, Piper, Olivia, Avery, Hazel, Piper, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/08?\", \"Nora, Eva, Claire, Rylee, Lydia, Piper, Olivia, Avery, Hazel, Piper, Layla\"], [\"what did I eat for dinner on 2011/08/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2505\", \"logical_representation\": [\"2011/08/08\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/08?\", \"49 minutes\"], [\"what did I watch on tv on 2011/08/08?\", \"a tv series\"], [\"Did I watch tv on 2011/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/15\": {\"dating\": {\"eid\": \"e1610\", \"logical_representation\": [\"2011/08/15\", \"Layla\", \"a park\"], \"text_template_based\": \"On 2011/08/15, I took Layla on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/08/15\", \"Layla\"], [\"where did I go for the date on 2011/08/15\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1612\", \"logical_representation\": [\"2011/08/15\", \"I bought some guava, pears, watermelons, tea, apple juice, guava juice, coffee, paper towel, shampoo online.\", \"guava, pears, watermelons\", \"tea, apple juice, guava juice, coffee\", \"paper towel, shampoo\", \"Willow\"], \"text_template_based\": \"I bought some guava, pears, watermelons, tea, apple juice, guava juice, coffee, paper towel, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/08/15?\", \"guava, pears, watermelons, tea, apple juice, guava juice, coffee, and paper towel, shampoo\"], [\"what fruits did I buy online on 2011/08/15?\", \"guava, pears, watermelons\"], [\"what drinks did I buy online on 2011/08/15?\", \"tea, apple juice, guava juice, coffee\"], [\"what toiletries did I buy online on 2011/08/15?\", \"paper towel, shampoo\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2529\", \"logical_representation\": [\"2011/08/15\", \"lunch\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had chinese food for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/08/15?\", \"Kayden\"], [\"what did I eat for lunch on 2011/08/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2530\", \"logical_representation\": [\"2011/08/15\", \"dinner\", \"steak\", \"Carter, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/15?\", \"Carter, Kayden\"], [\"what did I eat for dinner on 2011/08/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2531\", \"logical_representation\": [\"2011/08/15\", \"Piper\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2011/08/15?\", \"53 minutes\"], [\"who did I talk to on 2011/08/15?\", \"Piper\"], [\"Did I talk to Piper on 2011/08/15?\", \"yes\"], [\"Did I talk to anyone on 2011/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/19\": {\"dating\": {\"eid\": \"e1611\", \"logical_representation\": [\"2011/08/19\", \"Valentina\", \"a boba shop\"], \"text_template_based\": \"On 2011/08/19, I took Valentina on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/08/19\", \"Valentina\"], [\"where did I go for the date on 2011/08/19\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2541\", \"logical_representation\": [\"2011/08/19\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/08/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/19?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2542\", \"logical_representation\": [\"2011/08/19\", \"dinner\", \"pasta\", \"Hazel, Claire, Lydia, Piper\"], \"text_template_based\": \"I had dinner with Hazel, Claire, Lydia, Piper. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/19?\", \"Hazel, Claire, Lydia, Piper\"], [\"what did I eat for dinner on 2011/08/19\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2011/08/23\": {\"grocery\": {\"eid\": \"e1613\", \"logical_representation\": [\"2011/08/23\", \"I bought some raspberries, chocolate milk, pineapple juice, sports drinks, orange juice, mouthwash, mouth wash online.\", \"raspberries\", \"chocolate milk, pineapple juice, sports drinks, orange juice\", \"mouthwash, mouth wash\", \"Rylee, Piper\"], \"text_template_based\": \"I bought some raspberries, chocolate milk, pineapple juice, sports drinks, orange juice, mouthwash, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/08/23?\", \"raspberries, chocolate milk, pineapple juice, sports drinks, orange juice, and mouthwash, mouth wash\"], [\"what fruits did I buy online on 2011/08/23?\", \"raspberries\"], [\"what drinks did I buy online on 2011/08/23?\", \"chocolate milk, pineapple juice, sports drinks, orange juice\"], [\"what toiletries did I buy online on 2011/08/23?\", \"mouthwash, mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2555\", \"logical_representation\": [\"2011/08/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/08/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2556\", \"logical_representation\": [\"2011/08/23\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/23\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2557\", \"logical_representation\": [\"2011/08/23\", \"lunch\", \"fish and chips\", \"Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/08/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2558\", \"logical_representation\": [\"2011/08/23\", \"Claire, Nevaeh\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Claire, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh in the late afternoon on 2011/08/23?\", \"28 minutes\"], [\"who did I talk to on 2011/08/23?\", \"Claire, Nevaeh\"], [\"Did I talk to Claire, Nevaeh on 2011/08/23?\", \"yes\"], [\"Did I talk to anyone on 2011/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/31\": {\"dating\": {\"eid\": \"e1614\", \"logical_representation\": [\"2011/08/31\", \"Autumn\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Autumn on 2011/08/31 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/08/31\", \"Autumn\"], [\"where did I go for the date on 2011/08/31\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2586\", \"logical_representation\": [\"2011/08/31\", \"biking\"], \"text_template_based\": \"I did biking on 2011/08/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/31?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2587\", \"logical_representation\": [\"2011/08/31\", \"lunch\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had indian food for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/08/31?\", \"Andrew\"], [\"what did I eat for lunch on 2011/08/31\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2588\", \"logical_representation\": [\"2011/08/31\", \"Kinsley, Rylee, Hazel\", \"in the early evening\", \"8 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee, Hazel for 8 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Hazel in the early evening on 2011/08/31?\", \"8 minutes\"], [\"who did I talk to on 2011/08/31?\", \"Kinsley, Rylee, Hazel\"], [\"Did I talk to Kinsley, Rylee, Hazel on 2011/08/31?\", \"yes\"], [\"Did I talk to anyone on 2011/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2589\", \"logical_representation\": [\"2011/08/31\", \"Nora, Eva\", \"in the early evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Nora, Eva for 45 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva in the early evening on 2011/08/31?\", \"45 minutes\"], [\"who did I talk to on 2011/08/31?\", \"Nora, Eva\"], [\"Did I talk to Nora, Eva on 2011/08/31?\", \"yes\"], [\"Did I talk to anyone on 2011/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2590\", \"logical_representation\": [\"2011/08/31\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/08/31?\", \"50 minutes\"], [\"what did I read on 2011/08/31?\", \"a book\"], [\"Did I read on 2011/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/04\": {\"dating\": {\"eid\": \"e1615\", \"logical_representation\": [\"2011/09/04\", \"James\", \"a boba shop\"], \"text_template_based\": \"I went on a date with James on 2011/09/04 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/09/04\", \"James\"], [\"where did I go for the date on 2011/09/04\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1616\", \"logical_representation\": [\"2011/09/04\", \"I went grocery shopping with Kinsley, Nevaeh, Rylee, Avery, Piper, Layla. I bought some apples, apricots, mineral water, sports drinks, mango juice, guava juice, and paper towel\", \"apples, apricots\", \"mineral water, sports drinks, mango juice, guava juice\", \"paper towel\", \"Kinsley, Nevaeh, Rylee, Avery, Piper, Layla\"], \"text_template_based\": \"I went grocery shopping with Kinsley, Nevaeh, Rylee, Avery, Piper, Layla. I bought some apples, apricots, mineral water, sports drinks, mango juice, guava juice, and paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/09/04?\", \"apples, apricots, mineral water, sports drinks, mango juice, guava juice, and paper towel\"], [\"what fruits did I buy from the grocery store on 2011/09/04?\", \"apples, apricots\"], [\"what drinks did I buy from the grocery store on 2011/09/04?\", \"mineral water, sports drinks, mango juice, guava juice\"], [\"what toiletries did I buy from the grocery store on 2011/09/04?\", \"paper towel\"], [\"who was with me at the grocery store on 2011/09/04?\", \"Kinsley, Nevaeh, Rylee, Avery, Piper, Layla\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2603\", \"logical_representation\": [\"2011/09/04\", \"dinner\", \"tacos\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Andrew, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/09/04?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for dinner on 2011/09/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2604\", \"logical_representation\": [\"2011/09/04\", \"Lydia, Hazel, Piper, Avery\", \"in the early evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Lydia, Hazel, Piper, Avery for 46 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Piper, Avery in the early evening on 2011/09/04?\", \"46 minutes\"], [\"who did I talk to on 2011/09/04?\", \"Lydia, Hazel, Piper, Avery\"], [\"Did I talk to Lydia, Hazel, Piper, Avery on 2011/09/04?\", \"yes\"], [\"Did I talk to anyone on 2011/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2605\", \"logical_representation\": [\"2011/09/04\", \"news\", \"40 minutes\"], \"text_template_based\": \"I watched news for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/04?\", \"40 minutes\"], [\"what did I watch on tv on 2011/09/04?\", \"news\"], [\"Did I watch tv on 2011/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/07\": {\"grocery\": {\"eid\": \"e1617\", \"logical_representation\": [\"2011/09/07\", \"I went grocery shopping with Jackson. I bought some guava, mandarins, chocolate milk, guava juice, apple juice, milk, and mouth wash\", \"guava, mandarins\", \"chocolate milk, guava juice, apple juice, milk\", \"mouth wash\", \"Jackson\"], \"text_template_based\": \"I went grocery shopping with Jackson. I bought some guava, mandarins, chocolate milk, guava juice, apple juice, milk, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/09/07?\", \"guava, mandarins, chocolate milk, guava juice, apple juice, milk, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2011/09/07?\", \"guava, mandarins\"], [\"what drinks did I buy from the grocery store on 2011/09/07?\", \"chocolate milk, guava juice, apple juice, milk\"], [\"what toiletries did I buy from the grocery store on 2011/09/07?\", \"mouth wash\"], [\"who was with me at the grocery store on 2011/09/07?\", \"Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2612\", \"logical_representation\": [\"2011/09/07\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2613\", \"logical_representation\": [\"2011/09/07\", \"lunch\", \"steak\", \"Layla\"], \"text_template_based\": \"I had steak for lunch with Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/09/07?\", \"Layla\"], [\"what did I eat for lunch on 2011/09/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2614\", \"logical_representation\": [\"2011/09/07\", \"dinner\", \"pasta\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/09/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2615\", \"logical_representation\": [\"2011/09/07\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I watched a documentary for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/07?\", \"43 minutes\"], [\"what did I watch on tv on 2011/09/07?\", \"a documentary\"], [\"Did I watch tv on 2011/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/29\": {\"dating\": {\"eid\": \"e1618\", \"logical_representation\": [\"2011/09/29\", \"Everleigh\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Everleigh on 2011/09/29 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/09/29\", \"Everleigh\"], [\"where did I go for the date on 2011/09/29\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2702\", \"logical_representation\": [\"2011/09/29\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2703\", \"logical_representation\": [\"2011/09/29\", \"dinner\", \"steak\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/09/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2704\", \"logical_representation\": [\"2011/09/29\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I watched a tv series for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/29?\", \"50 minutes\"], [\"what did I watch on tv on 2011/09/29?\", \"a tv series\"], [\"Did I watch tv on 2011/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/30\": {\"grocery\": {\"eid\": \"e1619\", \"logical_representation\": [\"2011/09/30\", \"I went grocery shopping. I bought some oranges, apricots, milk, pineapple juice, apple juice, and shaving cream, toothpaste, facial wash, mouthwash\", \"oranges, apricots\", \"milk, pineapple juice, apple juice\", \"shaving cream, toothpaste, facial wash, mouthwash\", \"Lydia\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, apricots, milk, pineapple juice, apple juice, and shaving cream, toothpaste, facial wash, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/09/30?\", \"oranges, apricots, milk, pineapple juice, apple juice, and shaving cream, toothpaste, facial wash, mouthwash\"], [\"what fruits did I buy from the grocery store on 2011/09/30?\", \"oranges, apricots\"], [\"what drinks did I buy from the grocery store on 2011/09/30?\", \"milk, pineapple juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2011/09/30?\", \"shaving cream, toothpaste, facial wash, mouthwash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2705\", \"logical_representation\": [\"2011/09/30\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Avery, Willow, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/09/30?\", \"Avery, Willow, Jackson, Benjamin\"], [\"what did I eat for breakfast on 2011/09/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2706\", \"logical_representation\": [\"2011/09/30\", \"lunch\", \"steak\", \"Piper, Piper, Nora, Layla, Nevaeh, Claire, Eva, Olivia, Rylee, Hazel, Avery\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2707\", \"logical_representation\": [\"2011/09/30\", \"Piper, Rylee, Lydia, Kinsley\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Piper, Rylee, Lydia, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Lydia, Kinsley in the late afternoon on 2011/09/30?\", \"9 minutes\"], [\"who did I talk to on 2011/09/30?\", \"Piper, Rylee, Lydia, Kinsley\"], [\"Did I talk to Piper, Rylee, Lydia, Kinsley on 2011/09/30?\", \"yes\"], [\"Did I talk to anyone on 2011/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/06\": {\"dating\": {\"eid\": \"e1620\", \"logical_representation\": [\"2011/10/06\", \"Jaxon\", \"a park\"], \"text_template_based\": \"On 2011/10/06, I took Jaxon on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/10/06\", \"Jaxon\"], [\"where did I go for the date on 2011/10/06\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2727\", \"logical_representation\": [\"2011/10/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/10/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2728\", \"logical_representation\": [\"2011/10/06\", \"lunch\", \"indian food\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/10/06?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2011/10/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2729\", \"logical_representation\": [\"2011/10/06\", \"dinner\", \"sandwich\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/10/06?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2011/10/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2730\", \"logical_representation\": [\"2011/10/06\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/10/06?\", \"48 minutes\"], [\"what did I read on 2011/10/06?\", \"a book\"], [\"Did I read on 2011/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2731\", \"logical_representation\": [\"2011/10/06\", \"news\", \"46 minutes\"], \"text_template_based\": \"I watched news for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/06?\", \"46 minutes\"], [\"what did I watch on tv on 2011/10/06?\", \"news\"], [\"Did I watch tv on 2011/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/13\": {\"dating\": {\"eid\": \"e1621\", \"logical_representation\": [\"2011/10/13\", \"Eleanor\", \"a park\"], \"text_template_based\": \"I went on a date with Eleanor on 2011/10/13 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/10/13\", \"Eleanor\"], [\"where did I go for the date on 2011/10/13\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1622\", \"logical_representation\": [\"2011/10/13\", \"I bought some pineapples, guava, mangos, sports drinks, pineapple juice, facial wash, toilet paper from the grocery store. I saw Andrew, Kayden, Carter, Emily at the grocery store.\", \"pineapples, guava, mangos\", \"sports drinks, pineapple juice\", \"facial wash, toilet paper\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I bought some pineapples, guava, mangos, sports drinks, pineapple juice, facial wash, toilet paper from the grocery store. I saw Andrew, Kayden, Carter, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/10/13?\", \"pineapples, guava, mangos, sports drinks, pineapple juice, and facial wash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2011/10/13?\", \"pineapples, guava, mangos\"], [\"what drinks did I buy from the grocery store on 2011/10/13?\", \"sports drinks, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2011/10/13?\", \"facial wash, toilet paper\"], [\"who did I see at the grocery store on 2011/10/13?\", \"Andrew, Kayden, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2754\", \"logical_representation\": [\"2011/10/13\", \"breakfast\", \"toast and cheese\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2755\", \"logical_representation\": [\"2011/10/13\", \"dinner\", \"tacos\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/10/13?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2011/10/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2756\", \"logical_representation\": [\"2011/10/13\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/10/13?\", \"46 minutes\"], [\"what did I read on 2011/10/13?\", \"news\"], [\"Did I read on 2011/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2757\", \"logical_representation\": [\"2011/10/13\", \"news\", \"19 minutes\"], \"text_template_based\": \"I watched news for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/13?\", \"19 minutes\"], [\"what did I watch on tv on 2011/10/13?\", \"news\"], [\"Did I watch tv on 2011/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/18\": {\"hobbies\": {\"eid\": \"e1623\", \"logical_representation\": [\"2011/10/18\", \"I really enjoyed working out on 2011/10/18\", \"working out\", \"Claire, Nevaeh, Avery\"], \"text_template_based\": \"I really enjoyed working out on 2011/10/18\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2011/10/18\"], [\"On 2011/10/18, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2771\", \"logical_representation\": [\"2011/10/18\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2772\", \"logical_representation\": [\"2011/10/18\", \"lunch\", \"sushi\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2773\", \"logical_representation\": [\"2011/10/18\", \"dinner\", \"indian food\", \"Piper, Avery, Layla, Claire, Olivia\"], \"text_template_based\": \"I had dinner with Piper, Avery, Layla, Claire, Olivia. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/10/18?\", \"Piper, Avery, Layla, Claire, Olivia\"], [\"what did I eat for dinner on 2011/10/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2774\", \"logical_representation\": [\"2011/10/18\", \"Nora, Claire, Layla\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Nora, Claire, Layla for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Layla in the early afternoon on 2011/10/18?\", \"36 minutes\"], [\"who did I talk to on 2011/10/18?\", \"Nora, Claire, Layla\"], [\"Did I talk to Nora, Claire, Layla on 2011/10/18?\", \"yes\"], [\"Did I talk to anyone on 2011/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2775\", \"logical_representation\": [\"2011/10/18\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/10/18?\", \"12 minutes\"], [\"what did I read on 2011/10/18?\", \"news\"], [\"Did I read on 2011/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2776\", \"logical_representation\": [\"2011/10/18\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/18?\", \"11 minutes\"], [\"what did I watch on tv on 2011/10/18?\", \"a movie\"], [\"Did I watch tv on 2011/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/19\": {\"grocery\": {\"eid\": \"e1624\", \"logical_representation\": [\"2011/10/19\", \"I bought some mandarins, apricots, chocolate milk, soda, milk, conditioner, shampoo, shaving cream, paper towel online.\", \"mandarins, apricots\", \"chocolate milk, soda, milk\", \"conditioner, shampoo, shaving cream, paper towel\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I bought some mandarins, apricots, chocolate milk, soda, milk, conditioner, shampoo, shaving cream, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/10/19?\", \"mandarins, apricots, chocolate milk, soda, milk, and conditioner, shampoo, shaving cream, paper towel\"], [\"what fruits did I buy online on 2011/10/19?\", \"mandarins, apricots\"], [\"what drinks did I buy online on 2011/10/19?\", \"chocolate milk, soda, milk\"], [\"what toiletries did I buy online on 2011/10/19?\", \"conditioner, shampoo, shaving cream, paper towel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2777\", \"logical_representation\": [\"2011/10/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/10/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2778\", \"logical_representation\": [\"2011/10/19\", \"lunch\", \"sushi\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2779\", \"logical_representation\": [\"2011/10/19\", \"Rylee, Kinsley\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Rylee, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley late in the evening on 2011/10/19?\", \"5 minutes\"], [\"who did I talk to on 2011/10/19?\", \"Rylee, Kinsley\"], [\"Did I talk to Rylee, Kinsley on 2011/10/19?\", \"yes\"], [\"Did I talk to anyone on 2011/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2780\", \"logical_representation\": [\"2011/10/19\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I watched a movie for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/19?\", \"13 minutes\"], [\"what did I watch on tv on 2011/10/19?\", \"a movie\"], [\"Did I watch tv on 2011/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/28\": {\"dating\": {\"eid\": \"e1625\", \"logical_representation\": [\"2011/10/28\", \"Willow\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Willow on 2011/10/28 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/10/28\", \"Willow\"], [\"where did I go for the date on 2011/10/28\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e1627\", \"logical_representation\": [\"2011/10/28\", \"I spent some time meditation on 2011/10/28.\", \"meditation\", \"Kayden\"], \"text_template_based\": \"I spent some time meditation on 2011/10/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2011/10/28\"], [\"On 2011/10/28, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2803\", \"logical_representation\": [\"2011/10/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/10/28?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2011/10/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2804\", \"logical_representation\": [\"2011/10/28\", \"lunch\", \"sandwich\", \"Avery, Lydia, Nevaeh, Nora, Piper\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2805\", \"logical_representation\": [\"2011/10/28\", \"Lydia\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Lydia for 52 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2011/10/28?\", \"52 minutes\"], [\"who did I talk to on 2011/10/28?\", \"Lydia\"], [\"Did I talk to Lydia on 2011/10/28?\", \"yes\"], [\"Did I talk to anyone on 2011/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2806\", \"logical_representation\": [\"2011/10/28\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I watched a documentary for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/28?\", \"17 minutes\"], [\"what did I watch on tv on 2011/10/28?\", \"a documentary\"], [\"Did I watch tv on 2011/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/22\": {\"hobbies\": {\"eid\": \"e1626\", \"logical_representation\": [\"2011/10/22\", \"I spent time working out on 2011/10/22 with Emily, Carter.\", \"working out\", \"Emily, Carter\"], \"text_template_based\": \"I spent time working out on 2011/10/22 with Emily, Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Emily, Carter?\", \"2011/10/22\"], [\"On 2011/10/22, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2011/10/22?\", \"Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2787\", \"logical_representation\": [\"2011/10/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/10/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2011/10/24\": {\"grocery\": {\"eid\": \"e1628\", \"logical_representation\": [\"2011/10/24\", \"I went grocery shopping with Benjamin, Avery, Willow, Jackson. I bought some pineapples, guava, blackberries, tea, milk, and mouth wash, shampoo, toothbrush\", \"pineapples, guava, blackberries\", \"tea, milk\", \"mouth wash, shampoo, toothbrush\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I went grocery shopping with Benjamin, Avery, Willow, Jackson. I bought some pineapples, guava, blackberries, tea, milk, and mouth wash, shampoo, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/10/24?\", \"pineapples, guava, blackberries, tea, milk, and mouth wash, shampoo, toothbrush\"], [\"what fruits did I buy from the grocery store on 2011/10/24?\", \"pineapples, guava, blackberries\"], [\"what drinks did I buy from the grocery store on 2011/10/24?\", \"tea, milk\"], [\"what toiletries did I buy from the grocery store on 2011/10/24?\", \"mouth wash, shampoo, toothbrush\"], [\"who was with me at the grocery store on 2011/10/24?\", \"Benjamin, Avery, Willow, Jackson\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2790\", \"logical_representation\": [\"2011/10/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/10/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2791\", \"logical_representation\": [\"2011/10/24\", \"breakfast\", \"pancakes\", \"Benjamin, Jackson\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2792\", \"logical_representation\": [\"2011/10/24\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I watched a movie for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/24?\", \"10 minutes\"], [\"what did I watch on tv on 2011/10/24?\", \"a movie\"], [\"Did I watch tv on 2011/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/31\": {\"grocery\": {\"eid\": \"e1629\", \"logical_representation\": [\"2011/10/31\", \"I bought some peaches, nectarines, apple juice, mango juice, soda, body lotion, facial wash, paper towel online.\", \"peaches, nectarines\", \"apple juice, mango juice, soda\", \"body lotion, facial wash, paper towel\", \"Kayden\"], \"text_template_based\": \"I bought some peaches, nectarines, apple juice, mango juice, soda, body lotion, facial wash, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/10/31?\", \"peaches, nectarines, apple juice, mango juice, soda, and body lotion, facial wash, paper towel\"], [\"what fruits did I buy online on 2011/10/31?\", \"peaches, nectarines\"], [\"what drinks did I buy online on 2011/10/31?\", \"apple juice, mango juice, soda\"], [\"what toiletries did I buy online on 2011/10/31?\", \"body lotion, facial wash, paper towel\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2816\", \"logical_representation\": [\"2011/10/31\", \"breakfast\", \"cereals\", \"Layla, Piper\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/31\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2817\", \"logical_representation\": [\"2011/10/31\", \"dinner\", \"sandwich\", \"Emily, Kayden\"], \"text_template_based\": \"I had sandwich for dinner with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/10/31?\", \"Emily, Kayden\"], [\"what did I eat for dinner on 2011/10/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2818\", \"logical_representation\": [\"2011/10/31\", \"Nora, Nevaeh, Lydia\", \"in the morning\", \"8 minutes\"], \"text_template_based\": \"I talked to Nora, Nevaeh, Lydia for 8 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Lydia in the morning on 2011/10/31?\", \"8 minutes\"], [\"who did I talk to on 2011/10/31?\", \"Nora, Nevaeh, Lydia\"], [\"Did I talk to Nora, Nevaeh, Lydia on 2011/10/31?\", \"yes\"], [\"Did I talk to anyone on 2011/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2819\", \"logical_representation\": [\"2011/10/31\", \"Hazel, Avery\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Hazel, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery in the late afternoon on 2011/10/31?\", \"25 minutes\"], [\"who did I talk to on 2011/10/31?\", \"Hazel, Avery\"], [\"Did I talk to Hazel, Avery on 2011/10/31?\", \"yes\"], [\"Did I talk to anyone on 2011/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2820\", \"logical_representation\": [\"2011/10/31\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/10/31?\", \"39 minutes\"], [\"what did I read on 2011/10/31?\", \"social media\"], [\"Did I read on 2011/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2821\", \"logical_representation\": [\"2011/10/31\", \"news\", \"43 minutes\"], \"text_template_based\": \"I watched news for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/31?\", \"43 minutes\"], [\"what did I watch on tv on 2011/10/31?\", \"news\"], [\"Did I watch tv on 2011/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/05\": {\"grocery\": {\"eid\": \"e1630\", \"logical_representation\": [\"2011/11/05\", \"I bought some watermelons, guava, blueberries, blackberries, orange juice, pineapple juice, toothbrush, shampoo, conditioner online.\", \"watermelons, guava, blueberries, blackberries\", \"orange juice, pineapple juice\", \"toothbrush, shampoo, conditioner\", \"Hazel, Claire, Rylee, Olivia, Nevaeh, Piper, Avery, Lydia, Kinsley, Piper, Eva, Nora, Layla\"], \"text_template_based\": \"I bought some watermelons, guava, blueberries, blackberries, orange juice, pineapple juice, toothbrush, shampoo, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/11/05?\", \"watermelons, guava, blueberries, blackberries, orange juice, pineapple juice, and toothbrush, shampoo, conditioner\"], [\"what fruits did I buy online on 2011/11/05?\", \"watermelons, guava, blueberries, blackberries\"], [\"what drinks did I buy online on 2011/11/05?\", \"orange juice, pineapple juice\"], [\"what toiletries did I buy online on 2011/11/05?\", \"toothbrush, shampoo, conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2839\", \"logical_representation\": [\"2011/11/05\", \"breakfast\", \"oatmeal\", \"Eva, Kinsley, Layla\"], \"text_template_based\": \"I had oatmeal for breakfast with Eva, Kinsley, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/11/05?\", \"Eva, Kinsley, Layla\"], [\"what did I eat for breakfast on 2011/11/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2840\", \"logical_representation\": [\"2011/11/05\", \"lunch\", \"indian food\", \"Benjamin, Willow\"], \"text_template_based\": \"I had lunch with Benjamin, Willow. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/11/05?\", \"Benjamin, Willow\"], [\"what did I eat for lunch on 2011/11/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2841\", \"logical_representation\": [\"2011/11/05\", \"dinner\", \"indian food\", \"Jackson\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2842\", \"logical_representation\": [\"2011/11/05\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/05?\", \"28 minutes\"], [\"what did I watch on tv on 2011/11/05?\", \"a tv series\"], [\"Did I watch tv on 2011/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/17\": {\"dating\": {\"eid\": \"e1631\", \"logical_representation\": [\"2011/11/17\", \"Luna\", \"a park\"], \"text_template_based\": \"I went on a date with Luna on 2011/11/17 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/11/17\", \"Luna\"], [\"where did I go for the date on 2011/11/17\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1632\", \"logical_representation\": [\"2011/11/17\", \"I went grocery shopping with Layla, Claire, Nora, Piper, Avery, Nevaeh, Hazel, Piper, Rylee, Olivia, Eva, Kinsley, Lydia. I bought some blackberries, apricots, strawberries, blueberries, soda, mango juice, and shampoo, mouthwash, paper towel\", \"blackberries, apricots, strawberries, blueberries\", \"soda, mango juice\", \"shampoo, mouthwash, paper towel\", \"Layla, Claire, Nora, Piper, Avery, Nevaeh, Hazel, Piper, Rylee, Olivia, Eva, Kinsley, Lydia\"], \"text_template_based\": \"I went grocery shopping with Layla, Claire, Nora, Piper, Avery, Nevaeh, Hazel, Piper, Rylee, Olivia, Eva, Kinsley, Lydia. I bought some blackberries, apricots, strawberries, blueberries, soda, mango juice, and shampoo, mouthwash, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/11/17?\", \"blackberries, apricots, strawberries, blueberries, soda, mango juice, and shampoo, mouthwash, paper towel\"], [\"what fruits did I buy from the grocery store on 2011/11/17?\", \"blackberries, apricots, strawberries, blueberries\"], [\"what drinks did I buy from the grocery store on 2011/11/17?\", \"soda, mango juice\"], [\"what toiletries did I buy from the grocery store on 2011/11/17?\", \"shampoo, mouthwash, paper towel\"], [\"who was with me at the grocery store on 2011/11/17?\", \"Layla, Claire, Nora, Piper, Avery, Nevaeh, Hazel, Piper, Rylee, Olivia, Eva, Kinsley, Lydia\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2887\", \"logical_representation\": [\"2011/11/17\", \"Piper, Eva, Nora, Rylee\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Nora, Rylee for 7 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Nora, Rylee in the morning on 2011/11/17?\", \"7 minutes\"], [\"who did I talk to on 2011/11/17?\", \"Piper, Eva, Nora, Rylee\"], [\"Did I talk to Piper, Eva, Nora, Rylee on 2011/11/17?\", \"yes\"], [\"Did I talk to anyone on 2011/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2888\", \"logical_representation\": [\"2011/11/17\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/11/17?\", \"28 minutes\"], [\"what did I read on 2011/11/17?\", \"a book\"], [\"Did I read on 2011/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/01\": {\"hobbies\": {\"eid\": \"e1633\", \"logical_representation\": [\"2011/12/01\", \"I really enjoyed gardening on 2011/12/01\", \"gardening\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I really enjoyed gardening on 2011/12/01\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2011/12/01\"], [\"On 2011/12/01, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2928\", \"logical_representation\": [\"2011/12/01\", \"running\"], \"text_template_based\": \"I did running on 2011/12/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2929\", \"logical_representation\": [\"2011/12/01\", \"breakfast\", \"oatmeal\", \"Lydia, Piper, Claire, Layla, Kinsley, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2930\", \"logical_representation\": [\"2011/12/01\", \"Nevaeh\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 32 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the late afternoon on 2011/12/01?\", \"32 minutes\"], [\"who did I talk to on 2011/12/01?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2011/12/01?\", \"yes\"], [\"Did I talk to anyone on 2011/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2931\", \"logical_representation\": [\"2011/12/01\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/01?\", \"44 minutes\"], [\"what did I watch on tv on 2011/12/01?\", \"news\"], [\"Did I watch tv on 2011/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/26\": {\"grocery\": {\"eid\": \"e1634\", \"logical_representation\": [\"2011/11/26\", \"I bought some apricots, apples, mandarins, watermelons, apple juice, conditioner, toothbrush, shaving cream from the grocery store. I saw Carter, Kayden at the grocery store.\", \"apricots, apples, mandarins, watermelons\", \"apple juice\", \"conditioner, toothbrush, shaving cream\", \"Carter, Kayden\"], \"text_template_based\": \"I bought some apricots, apples, mandarins, watermelons, apple juice, conditioner, toothbrush, shaving cream from the grocery store. I saw Carter, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/11/26?\", \"apricots, apples, mandarins, watermelons, apple juice, and conditioner, toothbrush, shaving cream\"], [\"what fruits did I buy from the grocery store on 2011/11/26?\", \"apricots, apples, mandarins, watermelons\"], [\"what drinks did I buy from the grocery store on 2011/11/26?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2011/11/26?\", \"conditioner, toothbrush, shaving cream\"], [\"who did I see at the grocery store on 2011/11/26?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2911\", \"logical_representation\": [\"2011/11/26\", \"biking\"], \"text_template_based\": \"I did biking on 2011/11/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2912\", \"logical_representation\": [\"2011/11/26\", \"dinner\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2913\", \"logical_representation\": [\"2011/11/26\", \"Piper\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2011/11/26?\", \"9 minutes\"], [\"who did I talk to on 2011/11/26?\", \"Piper\"], [\"Did I talk to Piper on 2011/11/26?\", \"yes\"], [\"Did I talk to anyone on 2011/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/02\": {\"grocery\": {\"eid\": \"e1635\", \"logical_representation\": [\"2011/12/02\", \"I went grocery shopping with Avery, Benjamin, Willow. I bought some bananas, mandarins, pineapples, pears, tea, pineapple juice, and mouthwash, facial wash\", \"bananas, mandarins, pineapples, pears\", \"tea, pineapple juice\", \"mouthwash, facial wash\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I went grocery shopping with Avery, Benjamin, Willow. I bought some bananas, mandarins, pineapples, pears, tea, pineapple juice, and mouthwash, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/12/02?\", \"bananas, mandarins, pineapples, pears, tea, pineapple juice, and mouthwash, facial wash\"], [\"what fruits did I buy from the grocery store on 2011/12/02?\", \"bananas, mandarins, pineapples, pears\"], [\"what drinks did I buy from the grocery store on 2011/12/02?\", \"tea, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2011/12/02?\", \"mouthwash, facial wash\"], [\"who was with me at the grocery store on 2011/12/02?\", \"Avery, Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2932\", \"logical_representation\": [\"2011/12/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/12/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2933\", \"logical_representation\": [\"2011/12/02\", \"breakfast\", \"oatmeal\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/12/02?\", \"Andrew\"], [\"what did I eat for breakfast on 2011/12/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2934\", \"logical_representation\": [\"2011/12/02\", \"lunch\", \"a burger\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/12/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2935\", \"logical_representation\": [\"2011/12/02\", \"Avery\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2011/12/02?\", \"41 minutes\"], [\"who did I talk to on 2011/12/02?\", \"Avery\"], [\"Did I talk to Avery on 2011/12/02?\", \"yes\"], [\"Did I talk to anyone on 2011/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2936\", \"logical_representation\": [\"2011/12/02\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/12/02?\", \"32 minutes\"], [\"what did I read on 2011/12/02?\", \"a book\"], [\"Did I read on 2011/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/08\": {\"dating\": {\"eid\": \"e1636\", \"logical_representation\": [\"2011/12/08\", \"Emilia\", \"a park\"], \"text_template_based\": \"I went on a date with Emilia on 2011/12/08 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/12/08\", \"Emilia\"], [\"where did I go for the date on 2011/12/08\", \"a park\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2954\", \"logical_representation\": [\"2011/12/08\", \"Lydia, Hazel, Olivia, Layla\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Lydia, Hazel, Olivia, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Olivia, Layla in the early evening on 2011/12/08?\", \"24 minutes\"], [\"who did I talk to on 2011/12/08?\", \"Lydia, Hazel, Olivia, Layla\"], [\"Did I talk to Lydia, Hazel, Olivia, Layla on 2011/12/08?\", \"yes\"], [\"Did I talk to anyone on 2011/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2955\", \"logical_representation\": [\"2011/12/08\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/12/08?\", \"20 minutes\"], [\"what did I read on 2011/12/08?\", \"social media\"], [\"Did I read on 2011/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/04\": {\"grocery\": {\"eid\": \"e1637\", \"logical_representation\": [\"2011/12/04\", \"I bought some blackberries, bananas, pineapples, apricots, orange juice, apple juice, tea, mouth wash online.\", \"blackberries, bananas, pineapples, apricots\", \"orange juice, apple juice, tea\", \"mouth wash\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I bought some blackberries, bananas, pineapples, apricots, orange juice, apple juice, tea, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/12/04?\", \"blackberries, bananas, pineapples, apricots, orange juice, apple juice, tea, and mouth wash\"], [\"what fruits did I buy online on 2011/12/04?\", \"blackberries, bananas, pineapples, apricots\"], [\"what drinks did I buy online on 2011/12/04?\", \"orange juice, apple juice, tea\"], [\"what toiletries did I buy online on 2011/12/04?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2941\", \"logical_representation\": [\"2011/12/04\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/12/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/04?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2942\", \"logical_representation\": [\"2011/12/04\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/12/04?\", \"Andrew\"], [\"what did I eat for breakfast on 2011/12/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2943\", \"logical_representation\": [\"2011/12/04\", \"lunch\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/12/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2944\", \"logical_representation\": [\"2011/12/04\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/12/04?\", \"10 minutes\"], [\"what did I read on 2011/12/04?\", \"a book\"], [\"Did I read on 2011/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/09\": {\"grocery\": {\"eid\": \"e1638\", \"logical_representation\": [\"2011/12/09\", \"I bought some watermelons, coffee, milk, shaving cream, body lotion, mouth wash from the grocery store. I saw Carter at the grocery store.\", \"watermelons\", \"coffee, milk\", \"shaving cream, body lotion, mouth wash\", \"Carter\"], \"text_template_based\": \"I bought some watermelons, coffee, milk, shaving cream, body lotion, mouth wash from the grocery store. I saw Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/12/09?\", \"watermelons, coffee, milk, and shaving cream, body lotion, mouth wash\"], [\"what fruits did I buy from the grocery store on 2011/12/09?\", \"watermelons\"], [\"what drinks did I buy from the grocery store on 2011/12/09?\", \"coffee, milk\"], [\"what toiletries did I buy from the grocery store on 2011/12/09?\", \"shaving cream, body lotion, mouth wash\"], [\"who did I see at the grocery store on 2011/12/09?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2956\", \"logical_representation\": [\"2011/12/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/12/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2957\", \"logical_representation\": [\"2011/12/09\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/12/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2958\", \"logical_representation\": [\"2011/12/09\", \"Piper, Piper, Hazel\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Piper, Piper, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Hazel in the late afternoon on 2011/12/09?\", \"51 minutes\"], [\"who did I talk to on 2011/12/09?\", \"Piper, Piper, Hazel\"], [\"Did I talk to Piper, Piper, Hazel on 2011/12/09?\", \"yes\"], [\"Did I talk to anyone on 2011/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2959\", \"logical_representation\": [\"2011/12/09\", \"Piper, Avery, Claire, Piper\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Claire, Piper for 38 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Claire, Piper in the late afternoon on 2011/12/09?\", \"38 minutes\"], [\"who did I talk to on 2011/12/09?\", \"Piper, Avery, Claire, Piper\"], [\"Did I talk to Piper, Avery, Claire, Piper on 2011/12/09?\", \"yes\"], [\"Did I talk to anyone on 2011/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2960\", \"logical_representation\": [\"2011/12/09\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/09?\", \"9 minutes\"], [\"what did I watch on tv on 2011/12/09?\", \"news\"], [\"Did I watch tv on 2011/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/12\": {\"dating\": {\"eid\": \"e1639\", \"logical_representation\": [\"2011/12/12\", \"Everly\", \"a coffee Shop\"], \"text_template_based\": \"On 2011/12/12, I took Everly on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/12/12\", \"Everly\"], [\"where did I go for the date on 2011/12/12\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2966\", \"logical_representation\": [\"2011/12/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/12/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2967\", \"logical_representation\": [\"2011/12/12\", \"breakfast\", \"pancakes\", \"Nevaeh, Hazel\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2968\", \"logical_representation\": [\"2011/12/12\", \"lunch\", \"fish and chips\", \"Nevaeh, Avery\"], \"text_template_based\": \"I had lunch with Nevaeh, Avery. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/12/12?\", \"Nevaeh, Avery\"], [\"what did I eat for lunch on 2011/12/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2969\", \"logical_representation\": [\"2011/12/12\", \"dinner\", \"sushi\", \"Carter\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/12/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2970\", \"logical_representation\": [\"2011/12/12\", \"Layla, Rylee, Hazel, Piper\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Layla, Rylee, Hazel, Piper for 52 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Hazel, Piper in the early evening on 2011/12/12?\", \"52 minutes\"], [\"who did I talk to on 2011/12/12?\", \"Layla, Rylee, Hazel, Piper\"], [\"Did I talk to Layla, Rylee, Hazel, Piper on 2011/12/12?\", \"yes\"], [\"Did I talk to anyone on 2011/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/11\": {\"grocery\": {\"eid\": \"e1641\", \"logical_representation\": [\"2011/12/11\", \"I went grocery shopping with Lydia, Nora, Olivia, Rylee. I bought some pears, mineral water, apple juice, coffee, and toothbrush, conditioner, shampoo, body lotion\", \"pears\", \"mineral water, apple juice, coffee\", \"toothbrush, conditioner, shampoo, body lotion\", \"Lydia, Nora, Olivia, Rylee\"], \"text_template_based\": \"I went grocery shopping with Lydia, Nora, Olivia, Rylee. I bought some pears, mineral water, apple juice, coffee, and toothbrush, conditioner, shampoo, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/12/11?\", \"pears, mineral water, apple juice, coffee, and toothbrush, conditioner, shampoo, body lotion\"], [\"what fruits did I buy from the grocery store on 2011/12/11?\", \"pears\"], [\"what drinks did I buy from the grocery store on 2011/12/11?\", \"mineral water, apple juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2011/12/11?\", \"toothbrush, conditioner, shampoo, body lotion\"], [\"who was with me at the grocery store on 2011/12/11?\", \"Lydia, Nora, Olivia, Rylee\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2965\", \"logical_representation\": [\"2011/12/11\", \"breakfast\", \"pancakes\", \"Avery\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/19\": {\"dating\": {\"eid\": \"e1642\", \"logical_representation\": [\"2011/12/19\", \"Asher\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Asher on 2011/12/19 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/12/19\", \"Asher\"], [\"where did I go for the date on 2011/12/19\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2998\", \"logical_representation\": [\"2011/12/19\", \"running\"], \"text_template_based\": \"I did running on 2011/12/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2999\", \"logical_representation\": [\"2011/12/19\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Benjamin\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3000\", \"logical_representation\": [\"2011/12/19\", \"lunch\", \"a burger\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/12/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3001\", \"logical_representation\": [\"2011/12/19\", \"Olivia, Piper, Nevaeh, Nora\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Nevaeh, Nora for 40 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Nevaeh, Nora in the late afternoon on 2011/12/19?\", \"40 minutes\"], [\"who did I talk to on 2011/12/19?\", \"Olivia, Piper, Nevaeh, Nora\"], [\"Did I talk to Olivia, Piper, Nevaeh, Nora on 2011/12/19?\", \"yes\"], [\"Did I talk to anyone on 2011/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/21\": {\"dating\": {\"eid\": \"e1643\", \"logical_representation\": [\"2011/12/21\", \"Lincoln\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Lincoln on 2011/12/21 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/12/21\", \"Lincoln\"], [\"where did I go for the date on 2011/12/21\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3005\", \"logical_representation\": [\"2011/12/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/12/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3006\", \"logical_representation\": [\"2011/12/21\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3007\", \"logical_representation\": [\"2011/12/21\", \"lunch\", \"a burger\", \"Avery, Lydia\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/12/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3008\", \"logical_representation\": [\"2011/12/21\", \"dinner\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/12/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3009\", \"logical_representation\": [\"2011/12/21\", \"Claire\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2011/12/21?\", \"37 minutes\"], [\"who did I talk to on 2011/12/21?\", \"Claire\"], [\"Did I talk to Claire on 2011/12/21?\", \"yes\"], [\"Did I talk to anyone on 2011/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3010\", \"logical_representation\": [\"2011/12/21\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/12/21?\", \"35 minutes\"], [\"what did I read on 2011/12/21?\", \"a book\"], [\"Did I read on 2011/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3011\", \"logical_representation\": [\"2011/12/21\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/21?\", \"9 minutes\"], [\"what did I watch on tv on 2011/12/21?\", \"news\"], [\"Did I watch tv on 2011/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/18\": {\"hobbies\": {\"eid\": \"e1644\", \"logical_representation\": [\"2011/12/18\", \"I really enjoyed learning a language on 2011/12/18\", \"learning a language\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I really enjoyed learning a language on 2011/12/18\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2011/12/18\"], [\"On 2011/12/18, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1645\", \"logical_representation\": [\"2011/12/18\", \"I bought some pears, tea, mineral water, mango juice, conditioner, toilet paper online.\", \"pears\", \"tea, mineral water, mango juice\", \"conditioner, toilet paper\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I bought some pears, tea, mineral water, mango juice, conditioner, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/12/18?\", \"pears, tea, mineral water, mango juice, and conditioner, toilet paper\"], [\"what fruits did I buy online on 2011/12/18?\", \"pears\"], [\"what drinks did I buy online on 2011/12/18?\", \"tea, mineral water, mango juice\"], [\"what toiletries did I buy online on 2011/12/18?\", \"conditioner, toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2994\", \"logical_representation\": [\"2011/12/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/12/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2995\", \"logical_representation\": [\"2011/12/18\", \"breakfast\", \"cereals\", \"Nora, Avery, Rylee, Piper, Lydia, Hazel, Kinsley, Claire, Olivia, Eva, Nevaeh\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2996\", \"logical_representation\": [\"2011/12/18\", \"Kinsley, Layla, Avery, Hazel\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla, Avery, Hazel for 53 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Avery, Hazel in the early evening on 2011/12/18?\", \"53 minutes\"], [\"who did I talk to on 2011/12/18?\", \"Kinsley, Layla, Avery, Hazel\"], [\"Did I talk to Kinsley, Layla, Avery, Hazel on 2011/12/18?\", \"yes\"], [\"Did I talk to anyone on 2011/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2997\", \"logical_representation\": [\"2011/12/18\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/12/18?\", \"21 minutes\"], [\"what did I read on 2011/12/18?\", \"social media\"], [\"Did I read on 2011/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/26\": {\"dating\": {\"eid\": \"e1646\", \"logical_representation\": [\"2011/12/26\", \"Jordan\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Jordan on 2011/12/26 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/12/26\", \"Jordan\"], [\"where did I go for the date on 2011/12/26\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3028\", \"logical_representation\": [\"2011/12/26\", \"dinner\", \"tacos\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/12/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3029\", \"logical_representation\": [\"2011/12/26\", \"Eva, Claire, Piper\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Eva, Claire, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire, Piper in the early afternoon on 2011/12/26?\", \"20 minutes\"], [\"who did I talk to on 2011/12/26?\", \"Eva, Claire, Piper\"], [\"Did I talk to Eva, Claire, Piper on 2011/12/26?\", \"yes\"], [\"Did I talk to anyone on 2011/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/25\": {\"grocery\": {\"eid\": \"e1647\", \"logical_representation\": [\"2011/12/25\", \"I went grocery shopping. I bought some raspberries, blueberries, sports drinks, mango juice, and conditioner, paper towel, toothpaste, mouth wash\", \"raspberries, blueberries\", \"sports drinks, mango juice\", \"conditioner, paper towel, toothpaste, mouth wash\", \"Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, blueberries, sports drinks, mango juice, and conditioner, paper towel, toothpaste, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/12/25?\", \"raspberries, blueberries, sports drinks, mango juice, and conditioner, paper towel, toothpaste, mouth wash\"], [\"what fruits did I buy from the grocery store on 2011/12/25?\", \"raspberries, blueberries\"], [\"what drinks did I buy from the grocery store on 2011/12/25?\", \"sports drinks, mango juice\"], [\"what toiletries did I buy from the grocery store on 2011/12/25?\", \"conditioner, paper towel, toothpaste, mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3022\", \"logical_representation\": [\"2011/12/25\", \"biking\"], \"text_template_based\": \"I did biking on 2011/12/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/25?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3023\", \"logical_representation\": [\"2011/12/25\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3024\", \"logical_representation\": [\"2011/12/25\", \"lunch\", \"fish and chips\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Carter, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/12/25?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2011/12/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3025\", \"logical_representation\": [\"2011/12/25\", \"Avery, Layla, Eva\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Avery, Layla, Eva for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Eva during lunch hours on 2011/12/25?\", \"26 minutes\"], [\"who did I talk to on 2011/12/25?\", \"Avery, Layla, Eva\"], [\"Did I talk to Avery, Layla, Eva on 2011/12/25?\", \"yes\"], [\"Did I talk to anyone on 2011/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3026\", \"logical_representation\": [\"2011/12/25\", \"Eva, Olivia\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Eva, Olivia for 23 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia in the early afternoon on 2011/12/25?\", \"23 minutes\"], [\"who did I talk to on 2011/12/25?\", \"Eva, Olivia\"], [\"Did I talk to Eva, Olivia on 2011/12/25?\", \"yes\"], [\"Did I talk to anyone on 2011/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3027\", \"logical_representation\": [\"2011/12/25\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/12/25?\", \"54 minutes\"], [\"what did I read on 2011/12/25?\", \"a book\"], [\"Did I read on 2011/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/02\": {\"breakfast\": {\"eid\": \"e1652\", \"logical_representation\": [\"2011/01/02\", \"breakfast\", \"pancakes\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/01/02?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2011/01/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1653\", \"logical_representation\": [\"2011/01/02\", \"dinner\", \"steak\", \"Carter\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/01/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1654\", \"logical_representation\": [\"2011/01/02\", \"Claire, Avery, Piper, Olivia\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Claire, Avery, Piper, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Piper, Olivia during lunch hours on 2011/01/02?\", \"20 minutes\"], [\"who did I talk to on 2011/01/02?\", \"Claire, Avery, Piper, Olivia\"], [\"Did I talk to Claire, Avery, Piper, Olivia on 2011/01/02?\", \"yes\"], [\"Did I talk to anyone on 2011/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1655\", \"logical_representation\": [\"2011/01/02\", \"a tv series\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/02?\", \"46 minutes\"], [\"what did I watch on tv on 2011/01/02?\", \"a tv series\"], [\"Did I watch tv on 2011/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/03\": {\"lunch\": {\"eid\": \"e1656\", \"logical_representation\": [\"2011/01/03\", \"lunch\", \"sushi\", \"Kinsley\"], \"text_template_based\": \"I had sushi for lunch with Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/01/03?\", \"Kinsley\"], [\"what did I eat for lunch on 2011/01/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1657\", \"logical_representation\": [\"2011/01/03\", \"Claire, Piper, Piper\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Claire, Piper, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Piper late in the evening on 2011/01/03?\", \"46 minutes\"], [\"who did I talk to on 2011/01/03?\", \"Claire, Piper, Piper\"], [\"Did I talk to Claire, Piper, Piper on 2011/01/03?\", \"yes\"], [\"Did I talk to anyone on 2011/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1658\", \"logical_representation\": [\"2011/01/03\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/01/03?\", \"43 minutes\"], [\"what did I read on 2011/01/03?\", \"a book\"], [\"Did I read on 2011/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1659\", \"logical_representation\": [\"2011/01/03\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/03?\", \"6 minutes\"], [\"what did I watch on tv on 2011/01/03?\", \"news\"], [\"Did I watch tv on 2011/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/05\": {\"exercise\": {\"eid\": \"e1664\", \"logical_representation\": [\"2011/01/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/01/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1665\", \"logical_representation\": [\"2011/01/05\", \"lunch\", \"sushi\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1666\", \"logical_representation\": [\"2011/01/05\", \"Rylee\", \"in the late afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Rylee for 35 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2011/01/05?\", \"35 minutes\"], [\"who did I talk to on 2011/01/05?\", \"Rylee\"], [\"Did I talk to Rylee on 2011/01/05?\", \"yes\"], [\"Did I talk to anyone on 2011/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1667\", \"logical_representation\": [\"2011/01/05\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/05?\", \"21 minutes\"], [\"what did I watch on tv on 2011/01/05?\", \"a tv series\"], [\"Did I watch tv on 2011/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/07\": {\"breakfast\": {\"eid\": \"e1674\", \"logical_representation\": [\"2011/01/07\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/01/07?\", \"Kayden\"], [\"what did I eat for breakfast on 2011/01/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1675\", \"logical_representation\": [\"2011/01/07\", \"lunch\", \"chinese food\", \"Nevaeh, Avery, Layla, Rylee, Hazel, Nora, Lydia, Eva, Olivia\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1676\", \"logical_representation\": [\"2011/01/07\", \"dinner\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/01/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1677\", \"logical_representation\": [\"2011/01/07\", \"Lydia, Olivia\", \"during lunch hours\", \"15 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia for 15 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia during lunch hours on 2011/01/07?\", \"15 minutes\"], [\"who did I talk to on 2011/01/07?\", \"Lydia, Olivia\"], [\"Did I talk to Lydia, Olivia on 2011/01/07?\", \"yes\"], [\"Did I talk to anyone on 2011/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1678\", \"logical_representation\": [\"2011/01/07\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/01/07?\", \"33 minutes\"], [\"what did I read on 2011/01/07?\", \"a book\"], [\"Did I read on 2011/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1679\", \"logical_representation\": [\"2011/01/07\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/07?\", \"50 minutes\"], [\"what did I watch on tv on 2011/01/07?\", \"news\"], [\"Did I watch tv on 2011/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/08\": {\"breakfast\": {\"eid\": \"e1680\", \"logical_representation\": [\"2011/01/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/01/08?\", \"Emily\"], [\"what did I eat for breakfast on 2011/01/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1681\", \"logical_representation\": [\"2011/01/08\", \"lunch\", \"indian food\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Emily, Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/01/08?\", \"Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2011/01/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1682\", \"logical_representation\": [\"2011/01/08\", \"a documentary\", \"11 minutes\"], \"text_template_based\": \"I watched a documentary for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/08?\", \"11 minutes\"], [\"what did I watch on tv on 2011/01/08?\", \"a documentary\"], [\"Did I watch tv on 2011/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/09\": {\"exercise\": {\"eid\": \"e1683\", \"logical_representation\": [\"2011/01/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/01/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1684\", \"logical_representation\": [\"2011/01/09\", \"lunch\", \"chinese food\", \"Layla, Eva, Piper, Hazel, Kinsley, Nevaeh, Rylee, Avery, Nora, Olivia, Lydia, Claire, Piper\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1685\", \"logical_representation\": [\"2011/01/09\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/01/09?\", \"Kayden\"], [\"what did I eat for dinner on 2011/01/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1686\", \"logical_representation\": [\"2011/01/09\", \"Piper, Avery\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Piper, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery in the early afternoon on 2011/01/09?\", \"42 minutes\"], [\"who did I talk to on 2011/01/09?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2011/01/09?\", \"yes\"], [\"Did I talk to anyone on 2011/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1687\", \"logical_representation\": [\"2011/01/09\", \"Hazel\", \"during lunch hours\", \"22 minutes\"], \"text_template_based\": \"I talked to Hazel for 22 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2011/01/09?\", \"22 minutes\"], [\"who did I talk to on 2011/01/09?\", \"Hazel\"], [\"Did I talk to Hazel on 2011/01/09?\", \"yes\"], [\"Did I talk to anyone on 2011/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1688\", \"logical_representation\": [\"2011/01/09\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/01/09?\", \"8 minutes\"], [\"what did I read on 2011/01/09?\", \"a book\"], [\"Did I read on 2011/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/10\": {\"lunch\": {\"eid\": \"e1689\", \"logical_representation\": [\"2011/01/10\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1690\", \"logical_representation\": [\"2011/01/10\", \"Nora, Hazel\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Nora, Hazel for 55 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel late in the evening on 2011/01/10?\", \"55 minutes\"], [\"who did I talk to on 2011/01/10?\", \"Nora, Hazel\"], [\"Did I talk to Nora, Hazel on 2011/01/10?\", \"yes\"], [\"Did I talk to anyone on 2011/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1691\", \"logical_representation\": [\"2011/01/10\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/01/10?\", \"8 minutes\"], [\"what did I read on 2011/01/10?\", \"news\"], [\"Did I read on 2011/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1692\", \"logical_representation\": [\"2011/01/10\", \"news\", \"52 minutes\"], \"text_template_based\": \"I watched news for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/10?\", \"52 minutes\"], [\"what did I watch on tv on 2011/01/10?\", \"news\"], [\"Did I watch tv on 2011/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/12\": {\"read\": {\"eid\": \"e1695\", \"logical_representation\": [\"2011/01/12\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/01/12?\", \"38 minutes\"], [\"what did I read on 2011/01/12?\", \"a book\"], [\"Did I read on 2011/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/13\": {\"exercise\": {\"eid\": \"e1696\", \"logical_representation\": [\"2011/01/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/01/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1697\", \"logical_representation\": [\"2011/01/13\", \"breakfast\", \"oatmeal\", \"Lydia, Layla\"], \"text_template_based\": \"I had oatmeal for breakfast with Lydia, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/01/13?\", \"Lydia, Layla\"], [\"what did I eat for breakfast on 2011/01/13\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1698\", \"logical_representation\": [\"2011/01/13\", \"lunch\", \"tacos\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had lunch with Benjamin, Willow, Jackson, Avery. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/01/13?\", \"Benjamin, Willow, Jackson, Avery\"], [\"what did I eat for lunch on 2011/01/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1699\", \"logical_representation\": [\"2011/01/13\", \"Claire, Eva\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Claire, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva during lunch hours on 2011/01/13?\", \"42 minutes\"], [\"who did I talk to on 2011/01/13?\", \"Claire, Eva\"], [\"Did I talk to Claire, Eva on 2011/01/13?\", \"yes\"], [\"Did I talk to anyone on 2011/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1700\", \"logical_representation\": [\"2011/01/13\", \"Rylee, Eva, Piper, Kinsley\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Rylee, Eva, Piper, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Piper, Kinsley in the late afternoon on 2011/01/13?\", \"23 minutes\"], [\"who did I talk to on 2011/01/13?\", \"Rylee, Eva, Piper, Kinsley\"], [\"Did I talk to Rylee, Eva, Piper, Kinsley on 2011/01/13?\", \"yes\"], [\"Did I talk to anyone on 2011/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1701\", \"logical_representation\": [\"2011/01/13\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/01/13?\", \"12 minutes\"], [\"what did I read on 2011/01/13?\", \"news\"], [\"Did I read on 2011/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/14\": {\"breakfast\": {\"eid\": \"e1702\", \"logical_representation\": [\"2011/01/14\", \"breakfast\", \"pancakes\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/01/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1703\", \"logical_representation\": [\"2011/01/14\", \"lunch\", \"indian food\", \"Kinsley, Hazel, Rylee, Olivia, Nora, Avery, Piper, Piper, Nevaeh, Claire, Layla\"], \"text_template_based\": \"I had indian food for lunch with Kinsley, Hazel, Rylee, Olivia, Nora, Avery, Piper, Piper, Nevaeh, Claire, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/01/14?\", \"Kinsley, Hazel, Rylee, Olivia, Nora, Avery, Piper, Piper, Nevaeh, Claire, Layla\"], [\"what did I eat for lunch on 2011/01/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1704\", \"logical_representation\": [\"2011/01/14\", \"Eva, Lydia\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Eva, Lydia for 30 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia in the early evening on 2011/01/14?\", \"30 minutes\"], [\"who did I talk to on 2011/01/14?\", \"Eva, Lydia\"], [\"Did I talk to Eva, Lydia on 2011/01/14?\", \"yes\"], [\"Did I talk to anyone on 2011/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1705\", \"logical_representation\": [\"2011/01/14\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/01/14?\", \"29 minutes\"], [\"what did I read on 2011/01/14?\", \"a book\"], [\"Did I read on 2011/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/15\": {\"chat0\": {\"eid\": \"e1706\", \"logical_representation\": [\"2011/01/15\", \"Hazel, Nora, Kinsley, Rylee\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Hazel, Nora, Kinsley, Rylee for 34 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Kinsley, Rylee in the late afternoon on 2011/01/15?\", \"34 minutes\"], [\"who did I talk to on 2011/01/15?\", \"Hazel, Nora, Kinsley, Rylee\"], [\"Did I talk to Hazel, Nora, Kinsley, Rylee on 2011/01/15?\", \"yes\"], [\"Did I talk to anyone on 2011/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1707\", \"logical_representation\": [\"2011/01/15\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/01/15?\", \"24 minutes\"], [\"what did I read on 2011/01/15?\", \"news\"], [\"Did I read on 2011/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/17\": {\"breakfast\": {\"eid\": \"e1713\", \"logical_representation\": [\"2011/01/17\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Avery, Willow, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/01/17?\", \"Avery, Willow, Jackson, Benjamin\"], [\"what did I eat for breakfast on 2011/01/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1714\", \"logical_representation\": [\"2011/01/17\", \"lunch\", \"a burger\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had a burger for lunch with Benjamin, Avery, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/01/17?\", \"Benjamin, Avery, Willow, Jackson\"], [\"what did I eat for lunch on 2011/01/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1715\", \"logical_representation\": [\"2011/01/17\", \"dinner\", \"sandwich\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/01/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1716\", \"logical_representation\": [\"2011/01/17\", \"Nevaeh, Eva, Avery\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva, Avery for 12 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva, Avery in the late afternoon on 2011/01/17?\", \"12 minutes\"], [\"who did I talk to on 2011/01/17?\", \"Nevaeh, Eva, Avery\"], [\"Did I talk to Nevaeh, Eva, Avery on 2011/01/17?\", \"yes\"], [\"Did I talk to anyone on 2011/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1717\", \"logical_representation\": [\"2011/01/17\", \"Piper, Nora\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I talked to Piper, Nora for 29 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora in the morning on 2011/01/17?\", \"29 minutes\"], [\"who did I talk to on 2011/01/17?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2011/01/17?\", \"yes\"], [\"Did I talk to anyone on 2011/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1718\", \"logical_representation\": [\"2011/01/17\", \"news\", \"43 minutes\"], \"text_template_based\": \"I watched news for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/17?\", \"43 minutes\"], [\"what did I watch on tv on 2011/01/17?\", \"news\"], [\"Did I watch tv on 2011/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/18\": {\"chat0\": {\"eid\": \"e1719\", \"logical_representation\": [\"2011/01/18\", \"Nevaeh, Piper, Eva, Claire\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Nevaeh, Piper, Eva, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Eva, Claire during lunch hours on 2011/01/18?\", \"18 minutes\"], [\"who did I talk to on 2011/01/18?\", \"Nevaeh, Piper, Eva, Claire\"], [\"Did I talk to Nevaeh, Piper, Eva, Claire on 2011/01/18?\", \"yes\"], [\"Did I talk to anyone on 2011/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1720\", \"logical_representation\": [\"2011/01/18\", \"a movie\", \"24 minutes\"], \"text_template_based\": \"I watched a movie for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/18?\", \"24 minutes\"], [\"what did I watch on tv on 2011/01/18?\", \"a movie\"], [\"Did I watch tv on 2011/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/19\": {\"exercise\": {\"eid\": \"e1721\", \"logical_representation\": [\"2011/01/19\", \"biking\"], \"text_template_based\": \"I did biking on 2011/01/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1722\", \"logical_representation\": [\"2011/01/19\", \"dinner\", \"indian food\", \"Rylee, Olivia, Lydia\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/01/19\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1723\", \"logical_representation\": [\"2011/01/19\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/01/19?\", \"6 minutes\"], [\"what did I read on 2011/01/19?\", \"news\"], [\"Did I read on 2011/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/20\": {\"exercise\": {\"eid\": \"e1724\", \"logical_representation\": [\"2011/01/20\", \"biking\"], \"text_template_based\": \"I did biking on 2011/01/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/20?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2011/01/21\": {\"exercise\": {\"eid\": \"e1725\", \"logical_representation\": [\"2011/01/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/01/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1726\", \"logical_representation\": [\"2011/01/21\", \"Piper, Eva, Kinsley, Avery\", \"during lunch hours\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Piper, Eva, Kinsley, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Kinsley, Avery during lunch hours on 2011/01/21?\", \"45 minutes\"], [\"who did I talk to on 2011/01/21?\", \"Piper, Eva, Kinsley, Avery\"], [\"Did I talk to Piper, Eva, Kinsley, Avery on 2011/01/21?\", \"yes\"], [\"Did I talk to anyone on 2011/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/22\": {\"dinner\": {\"eid\": \"e1727\", \"logical_representation\": [\"2011/01/22\", \"dinner\", \"tacos\", \"Nora, Hazel\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/01/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1728\", \"logical_representation\": [\"2011/01/22\", \"Hazel, Avery\", \"during lunch hours\", \"16 minutes\"], \"text_template_based\": \"I talked to Hazel, Avery for 16 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery during lunch hours on 2011/01/22?\", \"16 minutes\"], [\"who did I talk to on 2011/01/22?\", \"Hazel, Avery\"], [\"Did I talk to Hazel, Avery on 2011/01/22?\", \"yes\"], [\"Did I talk to anyone on 2011/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1729\", \"logical_representation\": [\"2011/01/22\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/22?\", \"46 minutes\"], [\"what did I watch on tv on 2011/01/22?\", \"news\"], [\"Did I watch tv on 2011/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/23\": {\"exercise\": {\"eid\": \"e1730\", \"logical_representation\": [\"2011/01/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/01/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1731\", \"logical_representation\": [\"2011/01/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Olivia, Rylee, Piper, Nevaeh\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/01/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1732\", \"logical_representation\": [\"2011/01/23\", \"Nevaeh, Piper, Layla, Rylee\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Nevaeh, Piper, Layla, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Layla, Rylee in the late afternoon on 2011/01/23?\", \"37 minutes\"], [\"who did I talk to on 2011/01/23?\", \"Nevaeh, Piper, Layla, Rylee\"], [\"Did I talk to Nevaeh, Piper, Layla, Rylee on 2011/01/23?\", \"yes\"], [\"Did I talk to anyone on 2011/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1733\", \"logical_representation\": [\"2011/01/23\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/01/23?\", \"54 minutes\"], [\"what did I read on 2011/01/23?\", \"news\"], [\"Did I read on 2011/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1734\", \"logical_representation\": [\"2011/01/23\", \"a movie\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/23?\", \"35 minutes\"], [\"what did I watch on tv on 2011/01/23?\", \"a movie\"], [\"Did I watch tv on 2011/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/24\": {\"breakfast\": {\"eid\": \"e1735\", \"logical_representation\": [\"2011/01/24\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/01/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1736\", \"logical_representation\": [\"2011/01/24\", \"Layla, Avery, Nevaeh\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Layla, Avery, Nevaeh for 41 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Nevaeh in the early afternoon on 2011/01/24?\", \"41 minutes\"], [\"who did I talk to on 2011/01/24?\", \"Layla, Avery, Nevaeh\"], [\"Did I talk to Layla, Avery, Nevaeh on 2011/01/24?\", \"yes\"], [\"Did I talk to anyone on 2011/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/25\": {\"exercise\": {\"eid\": \"e1737\", \"logical_representation\": [\"2011/01/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/01/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1738\", \"logical_representation\": [\"2011/01/25\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/01/25?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2011/01/25\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1739\", \"logical_representation\": [\"2011/01/25\", \"Rylee, Nora, Hazel\", \"in the morning\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Rylee, Nora, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Hazel in the morning on 2011/01/25?\", \"8 minutes\"], [\"who did I talk to on 2011/01/25?\", \"Rylee, Nora, Hazel\"], [\"Did I talk to Rylee, Nora, Hazel on 2011/01/25?\", \"yes\"], [\"Did I talk to anyone on 2011/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1740\", \"logical_representation\": [\"2011/01/25\", \"Kinsley, Layla, Claire\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla, Claire for 42 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Claire during lunch hours on 2011/01/25?\", \"42 minutes\"], [\"who did I talk to on 2011/01/25?\", \"Kinsley, Layla, Claire\"], [\"Did I talk to Kinsley, Layla, Claire on 2011/01/25?\", \"yes\"], [\"Did I talk to anyone on 2011/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1741\", \"logical_representation\": [\"2011/01/25\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/01/25?\", \"29 minutes\"], [\"what did I read on 2011/01/25?\", \"news\"], [\"Did I read on 2011/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1742\", \"logical_representation\": [\"2011/01/25\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/25?\", \"39 minutes\"], [\"what did I watch on tv on 2011/01/25?\", \"news\"], [\"Did I watch tv on 2011/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/26\": {\"breakfast\": {\"eid\": \"e1743\", \"logical_representation\": [\"2011/01/26\", \"breakfast\", \"oatmeal\", \"Claire, Hazel, Nora, Nevaeh, Piper, Avery, Eva, Kinsley, Piper, Lydia, Layla, Rylee\"], \"text_template_based\": \"I had breakfast with Claire, Hazel, Nora, Nevaeh, Piper, Avery, Eva, Kinsley, Piper, Lydia, Layla, Rylee. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/01/26?\", \"Claire, Hazel, Nora, Nevaeh, Piper, Avery, Eva, Kinsley, Piper, Lydia, Layla, Rylee\"], [\"what did I eat for breakfast on 2011/01/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1744\", \"logical_representation\": [\"2011/01/26\", \"lunch\", \"tacos\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1745\", \"logical_representation\": [\"2011/01/26\", \"Nora, Olivia, Piper, Avery\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Nora, Olivia, Piper, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Piper, Avery in the early afternoon on 2011/01/26?\", \"26 minutes\"], [\"who did I talk to on 2011/01/26?\", \"Nora, Olivia, Piper, Avery\"], [\"Did I talk to Nora, Olivia, Piper, Avery on 2011/01/26?\", \"yes\"], [\"Did I talk to anyone on 2011/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1746\", \"logical_representation\": [\"2011/01/26\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/01/26?\", \"8 minutes\"], [\"what did I read on 2011/01/26?\", \"a book\"], [\"Did I read on 2011/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/27\": {\"exercise\": {\"eid\": \"e1747\", \"logical_representation\": [\"2011/01/27\", \"biking\"], \"text_template_based\": \"I did biking on 2011/01/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/27?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1748\", \"logical_representation\": [\"2011/01/27\", \"lunch\", \"a burger\", \"Piper, Layla, Avery, Rylee, Kinsley, Hazel, Claire, Olivia\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1749\", \"logical_representation\": [\"2011/01/27\", \"dinner\", \"sushi\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had dinner with Carter, Kayden, Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/01/27?\", \"Carter, Kayden, Emily\"], [\"what did I eat for dinner on 2011/01/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1750\", \"logical_representation\": [\"2011/01/27\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/27?\", \"52 minutes\"], [\"what did I watch on tv on 2011/01/27?\", \"news\"], [\"Did I watch tv on 2011/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/28\": {\"exercise\": {\"eid\": \"e1751\", \"logical_representation\": [\"2011/01/28\", \"biking\"], \"text_template_based\": \"I did biking on 2011/01/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1752\", \"logical_representation\": [\"2011/01/28\", \"dinner\", \"chinese food\", \"Lydia, Nevaeh, Claire, Hazel, Piper, Rylee, Layla, Olivia, Avery, Nora\"], \"text_template_based\": \"I had dinner with Lydia, Nevaeh, Claire, Hazel, Piper, Rylee, Layla, Olivia, Avery, Nora. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/01/28?\", \"Lydia, Nevaeh, Claire, Hazel, Piper, Rylee, Layla, Olivia, Avery, Nora\"], [\"what did I eat for dinner on 2011/01/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1753\", \"logical_representation\": [\"2011/01/28\", \"Nevaeh, Piper, Avery\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Nevaeh, Piper, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Avery in the late afternoon on 2011/01/28?\", \"27 minutes\"], [\"who did I talk to on 2011/01/28?\", \"Nevaeh, Piper, Avery\"], [\"Did I talk to Nevaeh, Piper, Avery on 2011/01/28?\", \"yes\"], [\"Did I talk to anyone on 2011/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1754\", \"logical_representation\": [\"2011/01/28\", \"Hazel\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2011/01/28?\", \"15 minutes\"], [\"who did I talk to on 2011/01/28?\", \"Hazel\"], [\"Did I talk to Hazel on 2011/01/28?\", \"yes\"], [\"Did I talk to anyone on 2011/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1755\", \"logical_representation\": [\"2011/01/28\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/01/28?\", \"49 minutes\"], [\"what did I read on 2011/01/28?\", \"a book\"], [\"Did I read on 2011/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1756\", \"logical_representation\": [\"2011/01/28\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I watched a movie for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/28?\", \"45 minutes\"], [\"what did I watch on tv on 2011/01/28?\", \"a movie\"], [\"Did I watch tv on 2011/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/30\": {\"breakfast\": {\"eid\": \"e1761\", \"logical_representation\": [\"2011/01/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/01/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1762\", \"logical_representation\": [\"2011/01/30\", \"Avery\", \"during lunch hours\", \"50 minutes\"], \"text_template_based\": \"I talked to Avery for 50 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery during lunch hours on 2011/01/30?\", \"50 minutes\"], [\"who did I talk to on 2011/01/30?\", \"Avery\"], [\"Did I talk to Avery on 2011/01/30?\", \"yes\"], [\"Did I talk to anyone on 2011/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1763\", \"logical_representation\": [\"2011/01/30\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/30?\", \"22 minutes\"], [\"what did I watch on tv on 2011/01/30?\", \"news\"], [\"Did I watch tv on 2011/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/31\": {\"breakfast\": {\"eid\": \"e1764\", \"logical_representation\": [\"2011/01/31\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Carter. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/01/31?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for breakfast on 2011/01/31\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1765\", \"logical_representation\": [\"2011/01/31\", \"dinner\", \"steak\", \"Nora, Olivia, Eva, Hazel, Piper, Kinsley, Layla, Rylee\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/01/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1766\", \"logical_representation\": [\"2011/01/31\", \"Piper\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2011/01/31?\", \"29 minutes\"], [\"who did I talk to on 2011/01/31?\", \"Piper\"], [\"Did I talk to Piper on 2011/01/31?\", \"yes\"], [\"Did I talk to anyone on 2011/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1767\", \"logical_representation\": [\"2011/01/31\", \"Hazel, Olivia\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Hazel, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia in the early evening on 2011/01/31?\", \"52 minutes\"], [\"who did I talk to on 2011/01/31?\", \"Hazel, Olivia\"], [\"Did I talk to Hazel, Olivia on 2011/01/31?\", \"yes\"], [\"Did I talk to anyone on 2011/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1768\", \"logical_representation\": [\"2011/01/31\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/01/31?\", \"51 minutes\"], [\"what did I read on 2011/01/31?\", \"news\"], [\"Did I read on 2011/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1769\", \"logical_representation\": [\"2011/01/31\", \"news\", \"11 minutes\"], \"text_template_based\": \"I watched news for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/31?\", \"11 minutes\"], [\"what did I watch on tv on 2011/01/31?\", \"news\"], [\"Did I watch tv on 2011/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/01\": {\"exercise\": {\"eid\": \"e1770\", \"logical_representation\": [\"2011/02/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/02/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1771\", \"logical_representation\": [\"2011/02/01\", \"Avery\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I talked to Avery for 38 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery during lunch hours on 2011/02/01?\", \"38 minutes\"], [\"who did I talk to on 2011/02/01?\", \"Avery\"], [\"Did I talk to Avery on 2011/02/01?\", \"yes\"], [\"Did I talk to anyone on 2011/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1772\", \"logical_representation\": [\"2011/02/01\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/02/01?\", \"42 minutes\"], [\"what did I read on 2011/02/01?\", \"a book\"], [\"Did I read on 2011/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/03\": {\"exercise\": {\"eid\": \"e1778\", \"logical_representation\": [\"2011/02/03\", \"biking\"], \"text_template_based\": \"I did biking on 2011/02/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1779\", \"logical_representation\": [\"2011/02/03\", \"breakfast\", \"cereals\", \"Eva, Piper, Piper, Lydia, Olivia, Layla, Hazel, Claire, Nora, Kinsley, Nevaeh, Rylee, Avery\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/02/03\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2011/02/04\": {\"lunch\": {\"eid\": \"e1780\", \"logical_representation\": [\"2011/02/04\", \"lunch\", \"pasta\", \"Hazel, Piper, Olivia, Layla, Lydia, Kinsley, Piper, Nora\"], \"text_template_based\": \"I had pasta for lunch with Hazel, Piper, Olivia, Layla, Lydia, Kinsley, Piper, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/02/04?\", \"Hazel, Piper, Olivia, Layla, Lydia, Kinsley, Piper, Nora\"], [\"what did I eat for lunch on 2011/02/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1781\", \"logical_representation\": [\"2011/02/04\", \"dinner\", \"tacos\", \"Avery, Layla, Claire, Piper, Nevaeh, Olivia, Hazel, Rylee, Nora, Piper, Lydia, Kinsley, Eva\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/02/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1782\", \"logical_representation\": [\"2011/02/04\", \"Nora, Piper, Rylee\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Rylee for 6 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Rylee late in the evening on 2011/02/04?\", \"6 minutes\"], [\"who did I talk to on 2011/02/04?\", \"Nora, Piper, Rylee\"], [\"Did I talk to Nora, Piper, Rylee on 2011/02/04?\", \"yes\"], [\"Did I talk to anyone on 2011/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1783\", \"logical_representation\": [\"2011/02/04\", \"news\", \"46 minutes\"], \"text_template_based\": \"I watched news for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/04?\", \"46 minutes\"], [\"what did I watch on tv on 2011/02/04?\", \"news\"], [\"Did I watch tv on 2011/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/05\": {\"lunch\": {\"eid\": \"e1784\", \"logical_representation\": [\"2011/02/05\", \"lunch\", \"a burger\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/02/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1785\", \"logical_representation\": [\"2011/02/05\", \"Nora, Lydia, Eva, Kinsley\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Nora, Lydia, Eva, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Eva, Kinsley during lunch hours on 2011/02/05?\", \"39 minutes\"], [\"who did I talk to on 2011/02/05?\", \"Nora, Lydia, Eva, Kinsley\"], [\"Did I talk to Nora, Lydia, Eva, Kinsley on 2011/02/05?\", \"yes\"], [\"Did I talk to anyone on 2011/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/06\": {\"breakfast\": {\"eid\": \"e1786\", \"logical_representation\": [\"2011/02/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/02/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1787\", \"logical_representation\": [\"2011/02/06\", \"lunch\", \"tacos\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/02/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1788\", \"logical_representation\": [\"2011/02/06\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/02/06?\", \"11 minutes\"], [\"what did I read on 2011/02/06?\", \"social media\"], [\"Did I read on 2011/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1789\", \"logical_representation\": [\"2011/02/06\", \"a tv series\", \"19 minutes\"], \"text_template_based\": \"I watched a tv series for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/06?\", \"19 minutes\"], [\"what did I watch on tv on 2011/02/06?\", \"a tv series\"], [\"Did I watch tv on 2011/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/07\": {\"breakfast\": {\"eid\": \"e1790\", \"logical_representation\": [\"2011/02/07\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/02/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1791\", \"logical_representation\": [\"2011/02/07\", \"lunch\", \"pasta\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/02/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1792\", \"logical_representation\": [\"2011/02/07\", \"dinner\", \"steak\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had steak for dinner with Carter, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/02/07?\", \"Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2011/02/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1793\", \"logical_representation\": [\"2011/02/07\", \"Eva, Claire, Avery, Piper\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Eva, Claire, Avery, Piper for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire, Avery, Piper in the morning on 2011/02/07?\", \"30 minutes\"], [\"who did I talk to on 2011/02/07?\", \"Eva, Claire, Avery, Piper\"], [\"Did I talk to Eva, Claire, Avery, Piper on 2011/02/07?\", \"yes\"], [\"Did I talk to anyone on 2011/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1794\", \"logical_representation\": [\"2011/02/07\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I watched a documentary for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/07?\", \"42 minutes\"], [\"what did I watch on tv on 2011/02/07?\", \"a documentary\"], [\"Did I watch tv on 2011/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/09\": {\"chat0\": {\"eid\": \"e1799\", \"logical_representation\": [\"2011/02/09\", \"Claire, Piper, Avery, Kinsley\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Claire, Piper, Avery, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Avery, Kinsley in the late afternoon on 2011/02/09?\", \"38 minutes\"], [\"who did I talk to on 2011/02/09?\", \"Claire, Piper, Avery, Kinsley\"], [\"Did I talk to Claire, Piper, Avery, Kinsley on 2011/02/09?\", \"yes\"], [\"Did I talk to anyone on 2011/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1800\", \"logical_representation\": [\"2011/02/09\", \"Olivia, Avery, Nevaeh, Rylee\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Olivia, Avery, Nevaeh, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Nevaeh, Rylee late in the evening on 2011/02/09?\", \"29 minutes\"], [\"who did I talk to on 2011/02/09?\", \"Olivia, Avery, Nevaeh, Rylee\"], [\"Did I talk to Olivia, Avery, Nevaeh, Rylee on 2011/02/09?\", \"yes\"], [\"Did I talk to anyone on 2011/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1801\", \"logical_representation\": [\"2011/02/09\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/02/09?\", \"22 minutes\"], [\"what did I read on 2011/02/09?\", \"social media\"], [\"Did I read on 2011/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/10\": {\"exercise\": {\"eid\": \"e1802\", \"logical_representation\": [\"2011/02/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/02/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1803\", \"logical_representation\": [\"2011/02/10\", \"breakfast\", \"oatmeal\", \"Kinsley, Nora, Hazel, Avery\"], \"text_template_based\": \"I had oatmeal for breakfast with Kinsley, Nora, Hazel, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/02/10?\", \"Kinsley, Nora, Hazel, Avery\"], [\"what did I eat for breakfast on 2011/02/10\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1804\", \"logical_representation\": [\"2011/02/10\", \"Piper, Lydia\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Piper, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia in the morning on 2011/02/10?\", \"47 minutes\"], [\"who did I talk to on 2011/02/10?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2011/02/10?\", \"yes\"], [\"Did I talk to anyone on 2011/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1805\", \"logical_representation\": [\"2011/02/10\", \"Piper, Claire\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Piper, Claire for 32 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire in the early evening on 2011/02/10?\", \"32 minutes\"], [\"who did I talk to on 2011/02/10?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2011/02/10?\", \"yes\"], [\"Did I talk to anyone on 2011/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/11\": {\"breakfast\": {\"eid\": \"e1806\", \"logical_representation\": [\"2011/02/11\", \"breakfast\", \"pancakes\", \"Avery, Kinsley, Layla, Lydia, Olivia, Claire, Hazel, Rylee, Piper, Nevaeh, Piper, Eva, Nora\"], \"text_template_based\": \"I had pancakes for breakfast with Avery, Kinsley, Layla, Lydia, Olivia, Claire, Hazel, Rylee, Piper, Nevaeh, Piper, Eva, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/02/11?\", \"Avery, Kinsley, Layla, Lydia, Olivia, Claire, Hazel, Rylee, Piper, Nevaeh, Piper, Eva, Nora\"], [\"what did I eat for breakfast on 2011/02/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1807\", \"logical_representation\": [\"2011/02/11\", \"dinner\", \"indian food\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Emily, Andrew, Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/02/11?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2011/02/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1808\", \"logical_representation\": [\"2011/02/11\", \"news\", \"31 minutes\"], \"text_template_based\": \"I watched news for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/11?\", \"31 minutes\"], [\"what did I watch on tv on 2011/02/11?\", \"news\"], [\"Did I watch tv on 2011/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/13\": {\"exercise\": {\"eid\": \"e1814\", \"logical_representation\": [\"2011/02/13\", \"biking\"], \"text_template_based\": \"I did biking on 2011/02/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1815\", \"logical_representation\": [\"2011/02/13\", \"lunch\", \"steak\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/02/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1816\", \"logical_representation\": [\"2011/02/13\", \"dinner\", \"chinese food\", \"Kayden, Carter\"], \"text_template_based\": \"I had chinese food for dinner with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/02/13?\", \"Kayden, Carter\"], [\"what did I eat for dinner on 2011/02/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1817\", \"logical_representation\": [\"2011/02/13\", \"Olivia, Nora, Claire\", \"late in the evening\", \"54 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora, Claire for 54 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Claire late in the evening on 2011/02/13?\", \"54 minutes\"], [\"who did I talk to on 2011/02/13?\", \"Olivia, Nora, Claire\"], [\"Did I talk to Olivia, Nora, Claire on 2011/02/13?\", \"yes\"], [\"Did I talk to anyone on 2011/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1818\", \"logical_representation\": [\"2011/02/13\", \"news\", \"34 minutes\"], \"text_template_based\": \"I watched news for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/13?\", \"34 minutes\"], [\"what did I watch on tv on 2011/02/13?\", \"news\"], [\"Did I watch tv on 2011/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/25\": {\"lunch\": {\"eid\": \"e1850\", \"logical_representation\": [\"2011/02/25\", \"lunch\", \"steak\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/02/25?\", \"Emily\"], [\"what did I eat for lunch on 2011/02/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1851\", \"logical_representation\": [\"2011/02/25\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/25?\", \"32 minutes\"], [\"what did I watch on tv on 2011/02/25?\", \"news\"], [\"Did I watch tv on 2011/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/28\": {\"dinner\": {\"eid\": \"e1860\", \"logical_representation\": [\"2011/02/28\", \"dinner\", \"sushi\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/02/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1861\", \"logical_representation\": [\"2011/02/28\", \"Rylee, Lydia, Hazel\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Rylee, Lydia, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Hazel during lunch hours on 2011/02/28?\", \"55 minutes\"], [\"who did I talk to on 2011/02/28?\", \"Rylee, Lydia, Hazel\"], [\"Did I talk to Rylee, Lydia, Hazel on 2011/02/28?\", \"yes\"], [\"Did I talk to anyone on 2011/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1862\", \"logical_representation\": [\"2011/02/28\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/28?\", \"42 minutes\"], [\"what did I watch on tv on 2011/02/28?\", \"news\"], [\"Did I watch tv on 2011/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/01\": {\"dinner\": {\"eid\": \"e1863\", \"logical_representation\": [\"2011/03/01\", \"dinner\", \"sushi\", \"Piper, Hazel, Nevaeh, Olivia, Eva, Layla, Nora\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/03/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1864\", \"logical_representation\": [\"2011/03/01\", \"Piper, Kinsley\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Piper, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley in the early afternoon on 2011/03/01?\", \"6 minutes\"], [\"who did I talk to on 2011/03/01?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2011/03/01?\", \"yes\"], [\"Did I talk to anyone on 2011/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1865\", \"logical_representation\": [\"2011/03/01\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/03/01?\", \"47 minutes\"], [\"what did I read on 2011/03/01?\", \"social media\"], [\"Did I read on 2011/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1866\", \"logical_representation\": [\"2011/03/01\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I watched a tv series for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/01?\", \"10 minutes\"], [\"what did I watch on tv on 2011/03/01?\", \"a tv series\"], [\"Did I watch tv on 2011/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/02\": {\"exercise\": {\"eid\": \"e1867\", \"logical_representation\": [\"2011/03/02\", \"running\"], \"text_template_based\": \"I did running on 2011/03/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1868\", \"logical_representation\": [\"2011/03/02\", \"lunch\", \"chinese food\", \"Layla\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/03/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1869\", \"logical_representation\": [\"2011/03/02\", \"Hazel, Nora\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Hazel, Nora for 34 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora in the early evening on 2011/03/02?\", \"34 minutes\"], [\"who did I talk to on 2011/03/02?\", \"Hazel, Nora\"], [\"Did I talk to Hazel, Nora on 2011/03/02?\", \"yes\"], [\"Did I talk to anyone on 2011/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/03\": {\"breakfast\": {\"eid\": \"e1870\", \"logical_representation\": [\"2011/03/03\", \"breakfast\", \"toast and cheese\", \"Layla, Hazel, Olivia, Avery, Kinsley, Rylee, Lydia, Piper, Nevaeh, Eva, Nora, Claire, Piper\"], \"text_template_based\": \"I had toast and cheese for breakfast with Layla, Hazel, Olivia, Avery, Kinsley, Rylee, Lydia, Piper, Nevaeh, Eva, Nora, Claire, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/03/03?\", \"Layla, Hazel, Olivia, Avery, Kinsley, Rylee, Lydia, Piper, Nevaeh, Eva, Nora, Claire, Piper\"], [\"what did I eat for breakfast on 2011/03/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1871\", \"logical_representation\": [\"2011/03/03\", \"dinner\", \"indian food\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Carter, Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/03/03?\", \"Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2011/03/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1872\", \"logical_representation\": [\"2011/03/03\", \"Kinsley, Hazel\", \"during lunch hours\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Kinsley, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel during lunch hours on 2011/03/03?\", \"10 minutes\"], [\"who did I talk to on 2011/03/03?\", \"Kinsley, Hazel\"], [\"Did I talk to Kinsley, Hazel on 2011/03/03?\", \"yes\"], [\"Did I talk to anyone on 2011/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1873\", \"logical_representation\": [\"2011/03/03\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/03/03?\", \"23 minutes\"], [\"what did I read on 2011/03/03?\", \"news\"], [\"Did I read on 2011/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1874\", \"logical_representation\": [\"2011/03/03\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/03?\", \"22 minutes\"], [\"what did I watch on tv on 2011/03/03?\", \"news\"], [\"Did I watch tv on 2011/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/05\": {\"exercise\": {\"eid\": \"e1880\", \"logical_representation\": [\"2011/03/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/03/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1881\", \"logical_representation\": [\"2011/03/05\", \"lunch\", \"pasta\", \"Kinsley, Lydia, Piper, Rylee, Piper, Olivia, Eva, Claire, Nevaeh, Hazel, Layla\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/03/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1882\", \"logical_representation\": [\"2011/03/05\", \"Piper, Nevaeh, Rylee, Hazel\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Rylee, Hazel for 48 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Rylee, Hazel in the early evening on 2011/03/05?\", \"48 minutes\"], [\"who did I talk to on 2011/03/05?\", \"Piper, Nevaeh, Rylee, Hazel\"], [\"Did I talk to Piper, Nevaeh, Rylee, Hazel on 2011/03/05?\", \"yes\"], [\"Did I talk to anyone on 2011/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1883\", \"logical_representation\": [\"2011/03/05\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/05?\", \"46 minutes\"], [\"what did I watch on tv on 2011/03/05?\", \"a movie\"], [\"Did I watch tv on 2011/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/06\": {\"exercise\": {\"eid\": \"e1884\", \"logical_representation\": [\"2011/03/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/03/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1885\", \"logical_representation\": [\"2011/03/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Olivia, Piper, Kinsley, Claire, Avery, Layla, Eva\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Hazel, Olivia, Piper, Kinsley, Claire, Avery, Layla, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/03/06?\", \"Hazel, Olivia, Piper, Kinsley, Claire, Avery, Layla, Eva\"], [\"what did I eat for breakfast on 2011/03/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1886\", \"logical_representation\": [\"2011/03/06\", \"Hazel, Olivia\", \"in the morning\", \"10 minutes\"], \"text_template_based\": \"I talked to Hazel, Olivia for 10 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia in the morning on 2011/03/06?\", \"10 minutes\"], [\"who did I talk to on 2011/03/06?\", \"Hazel, Olivia\"], [\"Did I talk to Hazel, Olivia on 2011/03/06?\", \"yes\"], [\"Did I talk to anyone on 2011/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1887\", \"logical_representation\": [\"2011/03/06\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/03/06?\", \"15 minutes\"], [\"what did I read on 2011/03/06?\", \"a book\"], [\"Did I read on 2011/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/08\": {\"exercise\": {\"eid\": \"e1892\", \"logical_representation\": [\"2011/03/08\", \"running\"], \"text_template_based\": \"I did running on 2011/03/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1893\", \"logical_representation\": [\"2011/03/08\", \"Lydia, Rylee, Piper, Avery\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Lydia, Rylee, Piper, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Piper, Avery during lunch hours on 2011/03/08?\", \"35 minutes\"], [\"who did I talk to on 2011/03/08?\", \"Lydia, Rylee, Piper, Avery\"], [\"Did I talk to Lydia, Rylee, Piper, Avery on 2011/03/08?\", \"yes\"], [\"Did I talk to anyone on 2011/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1894\", \"logical_representation\": [\"2011/03/08\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/03/08?\", \"33 minutes\"], [\"what did I read on 2011/03/08?\", \"social media\"], [\"Did I read on 2011/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/11\": {\"exercise\": {\"eid\": \"e1904\", \"logical_representation\": [\"2011/03/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/03/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1905\", \"logical_representation\": [\"2011/03/11\", \"lunch\", \"steak\", \"Claire, Nora, Hazel, Kinsley, Rylee, Nevaeh\"], \"text_template_based\": \"I had steak for lunch with Claire, Nora, Hazel, Kinsley, Rylee, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/03/11?\", \"Claire, Nora, Hazel, Kinsley, Rylee, Nevaeh\"], [\"what did I eat for lunch on 2011/03/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1906\", \"logical_representation\": [\"2011/03/11\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/03/11?\", \"26 minutes\"], [\"what did I read on 2011/03/11?\", \"a book\"], [\"Did I read on 2011/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1907\", \"logical_representation\": [\"2011/03/11\", \"a tv series\", \"30 minutes\"], \"text_template_based\": \"I watched a tv series for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/11?\", \"30 minutes\"], [\"what did I watch on tv on 2011/03/11?\", \"a tv series\"], [\"Did I watch tv on 2011/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/12\": {\"breakfast\": {\"eid\": \"e1908\", \"logical_representation\": [\"2011/03/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1909\", \"logical_representation\": [\"2011/03/12\", \"Claire, Piper, Kinsley, Olivia\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Kinsley, Olivia for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Kinsley, Olivia late in the evening on 2011/03/12?\", \"37 minutes\"], [\"who did I talk to on 2011/03/12?\", \"Claire, Piper, Kinsley, Olivia\"], [\"Did I talk to Claire, Piper, Kinsley, Olivia on 2011/03/12?\", \"yes\"], [\"Did I talk to anyone on 2011/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1910\", \"logical_representation\": [\"2011/03/12\", \"Kinsley, Nora, Nevaeh\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora, Nevaeh for 30 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Nevaeh late in the evening on 2011/03/12?\", \"30 minutes\"], [\"who did I talk to on 2011/03/12?\", \"Kinsley, Nora, Nevaeh\"], [\"Did I talk to Kinsley, Nora, Nevaeh on 2011/03/12?\", \"yes\"], [\"Did I talk to anyone on 2011/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1911\", \"logical_representation\": [\"2011/03/12\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/03/12?\", \"32 minutes\"], [\"what did I read on 2011/03/12?\", \"news\"], [\"Did I read on 2011/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1912\", \"logical_representation\": [\"2011/03/12\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/12?\", \"49 minutes\"], [\"what did I watch on tv on 2011/03/12?\", \"a tv series\"], [\"Did I watch tv on 2011/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/14\": {\"breakfast\": {\"eid\": \"e1919\", \"logical_representation\": [\"2011/03/14\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Jackson\"], \"text_template_based\": \"I had breakfast with Willow, Jackson. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/03/14?\", \"Willow, Jackson\"], [\"what did I eat for breakfast on 2011/03/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1920\", \"logical_representation\": [\"2011/03/14\", \"lunch\", \"a burger\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/03/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1921\", \"logical_representation\": [\"2011/03/14\", \"Piper\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2011/03/14?\", \"39 minutes\"], [\"who did I talk to on 2011/03/14?\", \"Piper\"], [\"Did I talk to Piper on 2011/03/14?\", \"yes\"], [\"Did I talk to anyone on 2011/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1922\", \"logical_representation\": [\"2011/03/14\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/03/14?\", \"18 minutes\"], [\"what did I read on 2011/03/14?\", \"news\"], [\"Did I read on 2011/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1923\", \"logical_representation\": [\"2011/03/14\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I watched a movie for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/14?\", \"33 minutes\"], [\"what did I watch on tv on 2011/03/14?\", \"a movie\"], [\"Did I watch tv on 2011/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/15\": {\"exercise\": {\"eid\": \"e1924\", \"logical_representation\": [\"2011/03/15\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/03/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/15?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1925\", \"logical_representation\": [\"2011/03/15\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/03/15?\", \"Carter\"], [\"what did I eat for breakfast on 2011/03/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1926\", \"logical_representation\": [\"2011/03/15\", \"Lydia, Rylee, Avery\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Lydia, Rylee, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Avery in the early afternoon on 2011/03/15?\", \"41 minutes\"], [\"who did I talk to on 2011/03/15?\", \"Lydia, Rylee, Avery\"], [\"Did I talk to Lydia, Rylee, Avery on 2011/03/15?\", \"yes\"], [\"Did I talk to anyone on 2011/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1927\", \"logical_representation\": [\"2011/03/15\", \"a movie\", \"35 minutes\"], \"text_template_based\": \"I watched a movie for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/15?\", \"35 minutes\"], [\"what did I watch on tv on 2011/03/15?\", \"a movie\"], [\"Did I watch tv on 2011/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/16\": {\"exercise\": {\"eid\": \"e1928\", \"logical_representation\": [\"2011/03/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/03/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1929\", \"logical_representation\": [\"2011/03/16\", \"lunch\", \"tacos\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had lunch with Willow, Avery, Jackson, Benjamin. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/03/16?\", \"Willow, Avery, Jackson, Benjamin\"], [\"what did I eat for lunch on 2011/03/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1930\", \"logical_representation\": [\"2011/03/16\", \"dinner\", \"pasta\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/03/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1931\", \"logical_representation\": [\"2011/03/16\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I watched a tv series for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/16?\", \"42 minutes\"], [\"what did I watch on tv on 2011/03/16?\", \"a tv series\"], [\"Did I watch tv on 2011/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/19\": {\"exercise\": {\"eid\": \"e1943\", \"logical_representation\": [\"2011/03/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/03/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1944\", \"logical_representation\": [\"2011/03/19\", \"breakfast\", \"cereals\", \"Nora\"], \"text_template_based\": \"I had breakfast with Nora. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/03/19?\", \"Nora\"], [\"what did I eat for breakfast on 2011/03/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1945\", \"logical_representation\": [\"2011/03/19\", \"Nevaeh\", \"late in the evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2011/03/19?\", \"19 minutes\"], [\"who did I talk to on 2011/03/19?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2011/03/19?\", \"yes\"], [\"Did I talk to anyone on 2011/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1946\", \"logical_representation\": [\"2011/03/19\", \"Lydia, Claire, Nevaeh\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Lydia, Claire, Nevaeh for 42 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Nevaeh in the late afternoon on 2011/03/19?\", \"42 minutes\"], [\"who did I talk to on 2011/03/19?\", \"Lydia, Claire, Nevaeh\"], [\"Did I talk to Lydia, Claire, Nevaeh on 2011/03/19?\", \"yes\"], [\"Did I talk to anyone on 2011/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1947\", \"logical_representation\": [\"2011/03/19\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/03/19?\", \"10 minutes\"], [\"what did I read on 2011/03/19?\", \"news\"], [\"Did I read on 2011/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1948\", \"logical_representation\": [\"2011/03/19\", \"a documentary\", \"48 minutes\"], \"text_template_based\": \"I watched a documentary for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/19?\", \"48 minutes\"], [\"what did I watch on tv on 2011/03/19?\", \"a documentary\"], [\"Did I watch tv on 2011/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/20\": {\"exercise\": {\"eid\": \"e1949\", \"logical_representation\": [\"2011/03/20\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/20?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1950\", \"logical_representation\": [\"2011/03/20\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/20\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1951\", \"logical_representation\": [\"2011/03/20\", \"Nora, Rylee, Layla, Claire\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Nora, Rylee, Layla, Claire for 16 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Layla, Claire in the early evening on 2011/03/20?\", \"16 minutes\"], [\"who did I talk to on 2011/03/20?\", \"Nora, Rylee, Layla, Claire\"], [\"Did I talk to Nora, Rylee, Layla, Claire on 2011/03/20?\", \"yes\"], [\"Did I talk to anyone on 2011/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1952\", \"logical_representation\": [\"2011/03/20\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/03/20?\", \"6 minutes\"], [\"what did I read on 2011/03/20?\", \"social media\"], [\"Did I read on 2011/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1953\", \"logical_representation\": [\"2011/03/20\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/20?\", \"36 minutes\"], [\"what did I watch on tv on 2011/03/20?\", \"news\"], [\"Did I watch tv on 2011/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/21\": {\"exercise\": {\"eid\": \"e1954\", \"logical_representation\": [\"2011/03/21\", \"biking\"], \"text_template_based\": \"I did biking on 2011/03/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1955\", \"logical_representation\": [\"2011/03/21\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/03/21?\", \"19 minutes\"], [\"what did I read on 2011/03/21?\", \"a book\"], [\"Did I read on 2011/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1956\", \"logical_representation\": [\"2011/03/21\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/21?\", \"17 minutes\"], [\"what did I watch on tv on 2011/03/21?\", \"news\"], [\"Did I watch tv on 2011/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/22\": {\"exercise\": {\"eid\": \"e1957\", \"logical_representation\": [\"2011/03/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/03/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1958\", \"logical_representation\": [\"2011/03/22\", \"breakfast\", \"cereals\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1959\", \"logical_representation\": [\"2011/03/22\", \"lunch\", \"pasta\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had pasta for lunch with Carter, Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/03/22?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for lunch on 2011/03/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1960\", \"logical_representation\": [\"2011/03/22\", \"Layla, Nevaeh, Hazel, Claire\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Layla, Nevaeh, Hazel, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Hazel, Claire in the late afternoon on 2011/03/22?\", \"47 minutes\"], [\"who did I talk to on 2011/03/22?\", \"Layla, Nevaeh, Hazel, Claire\"], [\"Did I talk to Layla, Nevaeh, Hazel, Claire on 2011/03/22?\", \"yes\"], [\"Did I talk to anyone on 2011/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1961\", \"logical_representation\": [\"2011/03/22\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I watched a tv series for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/22?\", \"27 minutes\"], [\"what did I watch on tv on 2011/03/22?\", \"a tv series\"], [\"Did I watch tv on 2011/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/23\": {\"exercise\": {\"eid\": \"e1962\", \"logical_representation\": [\"2011/03/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/03/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1963\", \"logical_representation\": [\"2011/03/23\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1964\", \"logical_representation\": [\"2011/03/23\", \"lunch\", \"steak\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had lunch with Benjamin, Jackson, Willow, Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/03/23?\", \"Benjamin, Jackson, Willow, Avery\"], [\"what did I eat for lunch on 2011/03/23\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2011/03/25\": {\"lunch\": {\"eid\": \"e1970\", \"logical_representation\": [\"2011/03/25\", \"lunch\", \"chinese food\", \"Olivia, Layla, Piper, Nevaeh, Nora, Piper, Kinsley\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/03/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1971\", \"logical_representation\": [\"2011/03/25\", \"dinner\", \"fish and chips\", \"Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/03/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1972\", \"logical_representation\": [\"2011/03/25\", \"Claire, Lydia, Olivia, Layla\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Claire, Lydia, Olivia, Layla for 48 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Olivia, Layla in the early afternoon on 2011/03/25?\", \"48 minutes\"], [\"who did I talk to on 2011/03/25?\", \"Claire, Lydia, Olivia, Layla\"], [\"Did I talk to Claire, Lydia, Olivia, Layla on 2011/03/25?\", \"yes\"], [\"Did I talk to anyone on 2011/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1973\", \"logical_representation\": [\"2011/03/25\", \"Nora\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Nora for 17 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2011/03/25?\", \"17 minutes\"], [\"who did I talk to on 2011/03/25?\", \"Nora\"], [\"Did I talk to Nora on 2011/03/25?\", \"yes\"], [\"Did I talk to anyone on 2011/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1974\", \"logical_representation\": [\"2011/03/25\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/03/25?\", \"44 minutes\"], [\"what did I read on 2011/03/25?\", \"social media\"], [\"Did I read on 2011/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1975\", \"logical_representation\": [\"2011/03/25\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/25?\", \"46 minutes\"], [\"what did I watch on tv on 2011/03/25?\", \"news\"], [\"Did I watch tv on 2011/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/28\": {\"exercise\": {\"eid\": \"e1983\", \"logical_representation\": [\"2011/03/28\", \"running\"], \"text_template_based\": \"I did running on 2011/03/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1984\", \"logical_representation\": [\"2011/03/28\", \"breakfast\", \"toast and cheese\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/28\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1985\", \"logical_representation\": [\"2011/03/28\", \"Piper, Lydia, Olivia, Hazel\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Piper, Lydia, Olivia, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Olivia, Hazel in the morning on 2011/03/28?\", \"26 minutes\"], [\"who did I talk to on 2011/03/28?\", \"Piper, Lydia, Olivia, Hazel\"], [\"Did I talk to Piper, Lydia, Olivia, Hazel on 2011/03/28?\", \"yes\"], [\"Did I talk to anyone on 2011/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e1986\", \"logical_representation\": [\"2011/03/28\", \"Olivia\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2011/03/28?\", \"41 minutes\"], [\"who did I talk to on 2011/03/28?\", \"Olivia\"], [\"Did I talk to Olivia on 2011/03/28?\", \"yes\"], [\"Did I talk to anyone on 2011/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1987\", \"logical_representation\": [\"2011/03/28\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/28?\", \"10 minutes\"], [\"what did I watch on tv on 2011/03/28?\", \"a movie\"], [\"Did I watch tv on 2011/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/29\": {\"breakfast\": {\"eid\": \"e1988\", \"logical_representation\": [\"2011/03/29\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I had breakfast with Benjamin, Willow, Avery. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/03/29?\", \"Benjamin, Willow, Avery\"], [\"what did I eat for breakfast on 2011/03/29\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1989\", \"logical_representation\": [\"2011/03/29\", \"Rylee, Nora, Hazel\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Rylee, Nora, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Hazel in the early afternoon on 2011/03/29?\", \"32 minutes\"], [\"who did I talk to on 2011/03/29?\", \"Rylee, Nora, Hazel\"], [\"Did I talk to Rylee, Nora, Hazel on 2011/03/29?\", \"yes\"], [\"Did I talk to anyone on 2011/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1990\", \"logical_representation\": [\"2011/03/29\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/03/29?\", \"20 minutes\"], [\"what did I read on 2011/03/29?\", \"a book\"], [\"Did I read on 2011/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1991\", \"logical_representation\": [\"2011/03/29\", \"a tv series\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/29?\", \"36 minutes\"], [\"what did I watch on tv on 2011/03/29?\", \"a tv series\"], [\"Did I watch tv on 2011/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/31\": {\"breakfast\": {\"eid\": \"e1995\", \"logical_representation\": [\"2011/03/31\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Avery, Hazel, Layla, Nora\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/31\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1996\", \"logical_representation\": [\"2011/03/31\", \"lunch\", \"a burger\", \"Andrew, Emily\"], \"text_template_based\": \"I had a burger for lunch with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/03/31?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2011/03/31\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1997\", \"logical_representation\": [\"2011/03/31\", \"dinner\", \"sushi\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Jackson. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/03/31?\", \"Benjamin, Jackson\"], [\"what did I eat for dinner on 2011/03/31\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1998\", \"logical_representation\": [\"2011/03/31\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I watched a documentary for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/31?\", \"9 minutes\"], [\"what did I watch on tv on 2011/03/31?\", \"a documentary\"], [\"Did I watch tv on 2011/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/01\": {\"dinner\": {\"eid\": \"e1999\", \"logical_representation\": [\"2011/04/01\", \"dinner\", \"tacos\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/04/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2000\", \"logical_representation\": [\"2011/04/01\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/04/01?\", \"50 minutes\"], [\"what did I read on 2011/04/01?\", \"a book\"], [\"Did I read on 2011/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/04\": {\"breakfast\": {\"eid\": \"e2010\", \"logical_representation\": [\"2011/04/04\", \"breakfast\", \"pancakes\", \"Emily, Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2011\", \"logical_representation\": [\"2011/04/04\", \"lunch\", \"fish and chips\", \"Rylee\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/04/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2012\", \"logical_representation\": [\"2011/04/04\", \"Piper, Lydia\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia for 26 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia late in the evening on 2011/04/04?\", \"26 minutes\"], [\"who did I talk to on 2011/04/04?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2011/04/04?\", \"yes\"], [\"Did I talk to anyone on 2011/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2013\", \"logical_representation\": [\"2011/04/04\", \"Piper, Rylee\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee for 18 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee during lunch hours on 2011/04/04?\", \"18 minutes\"], [\"who did I talk to on 2011/04/04?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2011/04/04?\", \"yes\"], [\"Did I talk to anyone on 2011/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2014\", \"logical_representation\": [\"2011/04/04\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/04/04?\", \"6 minutes\"], [\"what did I read on 2011/04/04?\", \"social media\"], [\"Did I read on 2011/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2015\", \"logical_representation\": [\"2011/04/04\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/04?\", \"35 minutes\"], [\"what did I watch on tv on 2011/04/04?\", \"a tv series\"], [\"Did I watch tv on 2011/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/05\": {\"lunch\": {\"eid\": \"e2016\", \"logical_representation\": [\"2011/04/05\", \"lunch\", \"sandwich\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had sandwich for lunch with Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/04/05?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2011/04/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2017\", \"logical_representation\": [\"2011/04/05\", \"Olivia, Piper, Nevaeh\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Nevaeh for 28 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Nevaeh during lunch hours on 2011/04/05?\", \"28 minutes\"], [\"who did I talk to on 2011/04/05?\", \"Olivia, Piper, Nevaeh\"], [\"Did I talk to Olivia, Piper, Nevaeh on 2011/04/05?\", \"yes\"], [\"Did I talk to anyone on 2011/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/06\": {\"exercise\": {\"eid\": \"e2018\", \"logical_representation\": [\"2011/04/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/04/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2019\", \"logical_representation\": [\"2011/04/06\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Kinsley, Avery, Nevaeh, Nora, Piper, Claire, Rylee, Layla, Piper, Hazel\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2020\", \"logical_representation\": [\"2011/04/06\", \"dinner\", \"steak\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/04/06\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2011/04/09\": {\"dinner\": {\"eid\": \"e2024\", \"logical_representation\": [\"2011/04/09\", \"dinner\", \"sandwich\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/04/09?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for dinner on 2011/04/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2025\", \"logical_representation\": [\"2011/04/09\", \"Rylee\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Rylee for 47 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2011/04/09?\", \"47 minutes\"], [\"who did I talk to on 2011/04/09?\", \"Rylee\"], [\"Did I talk to Rylee on 2011/04/09?\", \"yes\"], [\"Did I talk to anyone on 2011/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2026\", \"logical_representation\": [\"2011/04/09\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/04/09?\", \"43 minutes\"], [\"what did I read on 2011/04/09?\", \"a book\"], [\"Did I read on 2011/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2027\", \"logical_representation\": [\"2011/04/09\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/09?\", \"39 minutes\"], [\"what did I watch on tv on 2011/04/09?\", \"a tv series\"], [\"Did I watch tv on 2011/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/11\": {\"lunch\": {\"eid\": \"e2029\", \"logical_representation\": [\"2011/04/11\", \"lunch\", \"tacos\", \"Olivia, Rylee, Nora, Lydia, Claire, Avery, Eva, Piper, Kinsley\"], \"text_template_based\": \"I had lunch with Olivia, Rylee, Nora, Lydia, Claire, Avery, Eva, Piper, Kinsley. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/04/11?\", \"Olivia, Rylee, Nora, Lydia, Claire, Avery, Eva, Piper, Kinsley\"], [\"what did I eat for lunch on 2011/04/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2030\", \"logical_representation\": [\"2011/04/11\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/04/11?\", \"16 minutes\"], [\"what did I read on 2011/04/11?\", \"social media\"], [\"Did I read on 2011/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/13\": {\"exercise\": {\"eid\": \"e2033\", \"logical_representation\": [\"2011/04/13\", \"biking\"], \"text_template_based\": \"I did biking on 2011/04/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2034\", \"logical_representation\": [\"2011/04/13\", \"breakfast\", \"pancakes\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/04/13?\", \"Benjamin, Willow, Jackson, Avery\"], [\"what did I eat for breakfast on 2011/04/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2035\", \"logical_representation\": [\"2011/04/13\", \"Eva, Piper\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I talked to Eva, Piper for 22 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper in the morning on 2011/04/13?\", \"22 minutes\"], [\"who did I talk to on 2011/04/13?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2011/04/13?\", \"yes\"], [\"Did I talk to anyone on 2011/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2036\", \"logical_representation\": [\"2011/04/13\", \"Layla, Avery\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Layla, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery in the morning on 2011/04/13?\", \"35 minutes\"], [\"who did I talk to on 2011/04/13?\", \"Layla, Avery\"], [\"Did I talk to Layla, Avery on 2011/04/13?\", \"yes\"], [\"Did I talk to anyone on 2011/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2037\", \"logical_representation\": [\"2011/04/13\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/04/13?\", \"9 minutes\"], [\"what did I read on 2011/04/13?\", \"social media\"], [\"Did I read on 2011/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2038\", \"logical_representation\": [\"2011/04/13\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/13?\", \"33 minutes\"], [\"what did I watch on tv on 2011/04/13?\", \"a documentary\"], [\"Did I watch tv on 2011/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/14\": {\"breakfast\": {\"eid\": \"e2039\", \"logical_representation\": [\"2011/04/14\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Benjamin\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2040\", \"logical_representation\": [\"2011/04/14\", \"dinner\", \"fish and chips\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/04/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2041\", \"logical_representation\": [\"2011/04/14\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I watched a tv series for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/14?\", \"12 minutes\"], [\"what did I watch on tv on 2011/04/14?\", \"a tv series\"], [\"Did I watch tv on 2011/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/16\": {\"exercise\": {\"eid\": \"e2047\", \"logical_representation\": [\"2011/04/16\", \"biking\"], \"text_template_based\": \"I did biking on 2011/04/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2048\", \"logical_representation\": [\"2011/04/16\", \"breakfast\", \"toast and cheese\", \"Hazel, Piper, Nevaeh, Kinsley, Avery, Piper, Layla, Claire, Nora\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/16\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2049\", \"logical_representation\": [\"2011/04/16\", \"lunch\", \"tacos\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/04/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2050\", \"logical_representation\": [\"2011/04/16\", \"Olivia, Lydia\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Olivia, Lydia for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia in the early afternoon on 2011/04/16?\", \"7 minutes\"], [\"who did I talk to on 2011/04/16?\", \"Olivia, Lydia\"], [\"Did I talk to Olivia, Lydia on 2011/04/16?\", \"yes\"], [\"Did I talk to anyone on 2011/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/18\": {\"breakfast\": {\"eid\": \"e2053\", \"logical_representation\": [\"2011/04/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2054\", \"logical_representation\": [\"2011/04/18\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/04/18?\", \"15 minutes\"], [\"what did I read on 2011/04/18?\", \"news\"], [\"Did I read on 2011/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2055\", \"logical_representation\": [\"2011/04/18\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/18?\", \"50 minutes\"], [\"what did I watch on tv on 2011/04/18?\", \"a movie\"], [\"Did I watch tv on 2011/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/19\": {\"exercise\": {\"eid\": \"e2056\", \"logical_representation\": [\"2011/04/19\", \"biking\"], \"text_template_based\": \"I did biking on 2011/04/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2057\", \"logical_representation\": [\"2011/04/19\", \"Hazel, Nora, Avery\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Hazel, Nora, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Avery late in the evening on 2011/04/19?\", \"5 minutes\"], [\"who did I talk to on 2011/04/19?\", \"Hazel, Nora, Avery\"], [\"Did I talk to Hazel, Nora, Avery on 2011/04/19?\", \"yes\"], [\"Did I talk to anyone on 2011/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2058\", \"logical_representation\": [\"2011/04/19\", \"Lydia, Nevaeh, Rylee, Hazel\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Lydia, Nevaeh, Rylee, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Rylee, Hazel in the early afternoon on 2011/04/19?\", \"36 minutes\"], [\"who did I talk to on 2011/04/19?\", \"Lydia, Nevaeh, Rylee, Hazel\"], [\"Did I talk to Lydia, Nevaeh, Rylee, Hazel on 2011/04/19?\", \"yes\"], [\"Did I talk to anyone on 2011/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2059\", \"logical_representation\": [\"2011/04/19\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/04/19?\", \"16 minutes\"], [\"what did I read on 2011/04/19?\", \"news\"], [\"Did I read on 2011/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2060\", \"logical_representation\": [\"2011/04/19\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/19?\", \"47 minutes\"], [\"what did I watch on tv on 2011/04/19?\", \"a documentary\"], [\"Did I watch tv on 2011/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/20\": {\"exercise\": {\"eid\": \"e2061\", \"logical_representation\": [\"2011/04/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/04/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2062\", \"logical_representation\": [\"2011/04/20\", \"lunch\", \"tacos\", \"Andrew, Emily\"], \"text_template_based\": \"I had tacos for lunch with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/04/20?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2011/04/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2063\", \"logical_representation\": [\"2011/04/20\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/04/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2064\", \"logical_representation\": [\"2011/04/20\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/04/20?\", \"39 minutes\"], [\"what did I read on 2011/04/20?\", \"news\"], [\"Did I read on 2011/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2065\", \"logical_representation\": [\"2011/04/20\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/20?\", \"49 minutes\"], [\"what did I watch on tv on 2011/04/20?\", \"news\"], [\"Did I watch tv on 2011/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/21\": {\"lunch\": {\"eid\": \"e2066\", \"logical_representation\": [\"2011/04/21\", \"lunch\", \"pasta\", \"Nevaeh, Claire, Layla, Lydia, Piper\"], \"text_template_based\": \"I had lunch with Nevaeh, Claire, Layla, Lydia, Piper. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/04/21?\", \"Nevaeh, Claire, Layla, Lydia, Piper\"], [\"what did I eat for lunch on 2011/04/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2067\", \"logical_representation\": [\"2011/04/21\", \"dinner\", \"fish and chips\", \"Avery, Piper, Piper, Eva, Claire, Olivia, Layla, Rylee, Lydia, Nevaeh, Nora, Kinsley\"], \"text_template_based\": \"I had fish and chips for dinner with Avery, Piper, Piper, Eva, Claire, Olivia, Layla, Rylee, Lydia, Nevaeh, Nora, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/04/21?\", \"Avery, Piper, Piper, Eva, Claire, Olivia, Layla, Rylee, Lydia, Nevaeh, Nora, Kinsley\"], [\"what did I eat for dinner on 2011/04/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2068\", \"logical_representation\": [\"2011/04/21\", \"Lydia, Eva\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Lydia, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva during lunch hours on 2011/04/21?\", \"21 minutes\"], [\"who did I talk to on 2011/04/21?\", \"Lydia, Eva\"], [\"Did I talk to Lydia, Eva on 2011/04/21?\", \"yes\"], [\"Did I talk to anyone on 2011/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/24\": {\"breakfast\": {\"eid\": \"e2079\", \"logical_representation\": [\"2011/04/24\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2080\", \"logical_representation\": [\"2011/04/24\", \"Eva, Kinsley, Layla, Piper\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Eva, Kinsley, Layla, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Layla, Piper in the early afternoon on 2011/04/24?\", \"13 minutes\"], [\"who did I talk to on 2011/04/24?\", \"Eva, Kinsley, Layla, Piper\"], [\"Did I talk to Eva, Kinsley, Layla, Piper on 2011/04/24?\", \"yes\"], [\"Did I talk to anyone on 2011/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2081\", \"logical_representation\": [\"2011/04/24\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/04/24?\", \"46 minutes\"], [\"what did I read on 2011/04/24?\", \"a book\"], [\"Did I read on 2011/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2082\", \"logical_representation\": [\"2011/04/24\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I watched a movie for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/24?\", \"33 minutes\"], [\"what did I watch on tv on 2011/04/24?\", \"a movie\"], [\"Did I watch tv on 2011/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/25\": {\"exercise\": {\"eid\": \"e2083\", \"logical_representation\": [\"2011/04/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/04/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2084\", \"logical_representation\": [\"2011/04/25\", \"breakfast\", \"oatmeal\", \"Piper, Avery, Kinsley, Eva, Nora\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2085\", \"logical_representation\": [\"2011/04/25\", \"lunch\", \"sandwich\", \"Claire, Nora\"], \"text_template_based\": \"I had lunch with Claire, Nora. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/04/25?\", \"Claire, Nora\"], [\"what did I eat for lunch on 2011/04/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2086\", \"logical_representation\": [\"2011/04/25\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/04/25?\", \"34 minutes\"], [\"what did I read on 2011/04/25?\", \"a book\"], [\"Did I read on 2011/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/26\": {\"breakfast\": {\"eid\": \"e2087\", \"logical_representation\": [\"2011/04/26\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2088\", \"logical_representation\": [\"2011/04/26\", \"lunch\", \"chinese food\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had chinese food for lunch with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/04/26?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2011/04/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2089\", \"logical_representation\": [\"2011/04/26\", \"dinner\", \"tacos\", \"Eva, Piper, Layla, Piper, Nora, Claire, Olivia\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/04/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2090\", \"logical_representation\": [\"2011/04/26\", \"Claire, Lydia, Olivia\", \"in the early evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Claire, Lydia, Olivia for 21 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Olivia in the early evening on 2011/04/26?\", \"21 minutes\"], [\"who did I talk to on 2011/04/26?\", \"Claire, Lydia, Olivia\"], [\"Did I talk to Claire, Lydia, Olivia on 2011/04/26?\", \"yes\"], [\"Did I talk to anyone on 2011/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2091\", \"logical_representation\": [\"2011/04/26\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/26?\", \"46 minutes\"], [\"what did I watch on tv on 2011/04/26?\", \"news\"], [\"Did I watch tv on 2011/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/29\": {\"breakfast\": {\"eid\": \"e2103\", \"logical_representation\": [\"2011/04/29\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/29\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2104\", \"logical_representation\": [\"2011/04/29\", \"dinner\", \"chinese food\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/04/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2105\", \"logical_representation\": [\"2011/04/29\", \"a tv series\", \"31 minutes\"], \"text_template_based\": \"I watched a tv series for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/29?\", \"31 minutes\"], [\"what did I watch on tv on 2011/04/29?\", \"a tv series\"], [\"Did I watch tv on 2011/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/30\": {\"exercise\": {\"eid\": \"e2106\", \"logical_representation\": [\"2011/04/30\", \"running\"], \"text_template_based\": \"I did running on 2011/04/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2107\", \"logical_representation\": [\"2011/04/30\", \"breakfast\", \"cereals\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/30\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2108\", \"logical_representation\": [\"2011/04/30\", \"lunch\", \"steak\", \"Avery, Eva\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/04/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2109\", \"logical_representation\": [\"2011/04/30\", \"dinner\", \"sandwich\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/04/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2110\", \"logical_representation\": [\"2011/04/30\", \"Piper, Claire, Piper\", \"in the morning\", \"10 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Piper for 10 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Piper in the morning on 2011/04/30?\", \"10 minutes\"], [\"who did I talk to on 2011/04/30?\", \"Piper, Claire, Piper\"], [\"Did I talk to Piper, Claire, Piper on 2011/04/30?\", \"yes\"], [\"Did I talk to anyone on 2011/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/01\": {\"exercise\": {\"eid\": \"e2111\", \"logical_representation\": [\"2011/05/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/05/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2112\", \"logical_representation\": [\"2011/05/01\", \"breakfast\", \"oatmeal\", \"Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Emily. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/05/01?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2011/05/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2113\", \"logical_representation\": [\"2011/05/01\", \"lunch\", \"sandwich\", \"Kinsley, Claire, Olivia, Layla, Eva, Rylee, Piper, Hazel, Piper, Nevaeh, Lydia, Nora\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/05/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2114\", \"logical_representation\": [\"2011/05/01\", \"dinner\", \"indian food\", \"Rylee, Lydia, Nevaeh, Eva, Kinsley, Olivia, Nora, Claire, Avery, Piper, Piper, Layla\"], \"text_template_based\": \"I had indian food for dinner with Rylee, Lydia, Nevaeh, Eva, Kinsley, Olivia, Nora, Claire, Avery, Piper, Piper, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/05/01?\", \"Rylee, Lydia, Nevaeh, Eva, Kinsley, Olivia, Nora, Claire, Avery, Piper, Piper, Layla\"], [\"what did I eat for dinner on 2011/05/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2115\", \"logical_representation\": [\"2011/05/01\", \"Olivia, Piper\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper for 20 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper late in the evening on 2011/05/01?\", \"20 minutes\"], [\"who did I talk to on 2011/05/01?\", \"Olivia, Piper\"], [\"Did I talk to Olivia, Piper on 2011/05/01?\", \"yes\"], [\"Did I talk to anyone on 2011/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2116\", \"logical_representation\": [\"2011/05/01\", \"Nora, Nevaeh, Olivia\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Nora, Nevaeh, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Olivia in the morning on 2011/05/01?\", \"41 minutes\"], [\"who did I talk to on 2011/05/01?\", \"Nora, Nevaeh, Olivia\"], [\"Did I talk to Nora, Nevaeh, Olivia on 2011/05/01?\", \"yes\"], [\"Did I talk to anyone on 2011/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2117\", \"logical_representation\": [\"2011/05/01\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I watched a documentary for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/01?\", \"43 minutes\"], [\"what did I watch on tv on 2011/05/01?\", \"a documentary\"], [\"Did I watch tv on 2011/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/02\": {\"exercise\": {\"eid\": \"e2118\", \"logical_representation\": [\"2011/05/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/05/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2119\", \"logical_representation\": [\"2011/05/02\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2120\", \"logical_representation\": [\"2011/05/02\", \"lunch\", \"indian food\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/05/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2121\", \"logical_representation\": [\"2011/05/02\", \"Claire, Eva, Piper\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Claire, Eva, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Piper late in the evening on 2011/05/02?\", \"40 minutes\"], [\"who did I talk to on 2011/05/02?\", \"Claire, Eva, Piper\"], [\"Did I talk to Claire, Eva, Piper on 2011/05/02?\", \"yes\"], [\"Did I talk to anyone on 2011/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2122\", \"logical_representation\": [\"2011/05/02\", \"a book\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/05/02?\", \"31 minutes\"], [\"what did I read on 2011/05/02?\", \"a book\"], [\"Did I read on 2011/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2123\", \"logical_representation\": [\"2011/05/02\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/02?\", \"50 minutes\"], [\"what did I watch on tv on 2011/05/02?\", \"news\"], [\"Did I watch tv on 2011/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/03\": {\"exercise\": {\"eid\": \"e2124\", \"logical_representation\": [\"2011/05/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/05/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2125\", \"logical_representation\": [\"2011/05/03\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2126\", \"logical_representation\": [\"2011/05/03\", \"lunch\", \"tacos\", \"Hazel, Olivia, Avery, Piper, Eva, Claire, Layla, Rylee, Kinsley\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/05/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2127\", \"logical_representation\": [\"2011/05/03\", \"dinner\", \"sushi\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/05/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2128\", \"logical_representation\": [\"2011/05/03\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/05/03?\", \"17 minutes\"], [\"what did I read on 2011/05/03?\", \"social media\"], [\"Did I read on 2011/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2129\", \"logical_representation\": [\"2011/05/03\", \"news\", \"54 minutes\"], \"text_template_based\": \"I watched news for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/03?\", \"54 minutes\"], [\"what did I watch on tv on 2011/05/03?\", \"news\"], [\"Did I watch tv on 2011/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/05\": {\"exercise\": {\"eid\": \"e2133\", \"logical_representation\": [\"2011/05/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/05/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2134\", \"logical_representation\": [\"2011/05/05\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Benjamin\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2135\", \"logical_representation\": [\"2011/05/05\", \"dinner\", \"sushi\", \"Layla, Avery, Nevaeh, Hazel, Eva, Rylee, Olivia\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/05/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2136\", \"logical_representation\": [\"2011/05/05\", \"Lydia\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Lydia for 14 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2011/05/05?\", \"14 minutes\"], [\"who did I talk to on 2011/05/05?\", \"Lydia\"], [\"Did I talk to Lydia on 2011/05/05?\", \"yes\"], [\"Did I talk to anyone on 2011/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/06\": {\"breakfast\": {\"eid\": \"e2137\", \"logical_representation\": [\"2011/05/06\", \"breakfast\", \"oatmeal\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Kayden, Emily. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/05/06?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2011/05/06\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2138\", \"logical_representation\": [\"2011/05/06\", \"lunch\", \"steak\", \"Eva, Claire\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/05/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2139\", \"logical_representation\": [\"2011/05/06\", \"Kinsley, Lydia, Layla, Eva\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia, Layla, Eva for 18 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Layla, Eva in the early evening on 2011/05/06?\", \"18 minutes\"], [\"who did I talk to on 2011/05/06?\", \"Kinsley, Lydia, Layla, Eva\"], [\"Did I talk to Kinsley, Lydia, Layla, Eva on 2011/05/06?\", \"yes\"], [\"Did I talk to anyone on 2011/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2140\", \"logical_representation\": [\"2011/05/06\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/06?\", \"21 minutes\"], [\"what did I watch on tv on 2011/05/06?\", \"a tv series\"], [\"Did I watch tv on 2011/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/07\": {\"exercise\": {\"eid\": \"e2141\", \"logical_representation\": [\"2011/05/07\", \"biking\"], \"text_template_based\": \"I did biking on 2011/05/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/07?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2142\", \"logical_representation\": [\"2011/05/07\", \"dinner\", \"pasta\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner with Carter, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/05/07?\", \"Carter, Emily\"], [\"what did I eat for dinner on 2011/05/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2143\", \"logical_representation\": [\"2011/05/07\", \"Piper\", \"in the early evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2011/05/07?\", \"22 minutes\"], [\"who did I talk to on 2011/05/07?\", \"Piper\"], [\"Did I talk to Piper on 2011/05/07?\", \"yes\"], [\"Did I talk to anyone on 2011/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/08\": {\"exercise\": {\"eid\": \"e2144\", \"logical_representation\": [\"2011/05/08\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/05/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/08?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2145\", \"logical_representation\": [\"2011/05/08\", \"breakfast\", \"cereals\", \"Hazel, Layla, Piper, Nevaeh, Claire, Kinsley, Lydia, Nora, Piper\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2146\", \"logical_representation\": [\"2011/05/08\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/05/08?\", \"27 minutes\"], [\"what did I read on 2011/05/08?\", \"news\"], [\"Did I read on 2011/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2147\", \"logical_representation\": [\"2011/05/08\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I watched a movie for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/08?\", \"12 minutes\"], [\"what did I watch on tv on 2011/05/08?\", \"a movie\"], [\"Did I watch tv on 2011/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/10\": {\"exercise\": {\"eid\": \"e2152\", \"logical_representation\": [\"2011/05/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/05/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2153\", \"logical_representation\": [\"2011/05/10\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/05/10?\", \"15 minutes\"], [\"what did I read on 2011/05/10?\", \"news\"], [\"Did I read on 2011/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2154\", \"logical_representation\": [\"2011/05/10\", \"news\", \"52 minutes\"], \"text_template_based\": \"I watched news for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/10?\", \"52 minutes\"], [\"what did I watch on tv on 2011/05/10?\", \"news\"], [\"Did I watch tv on 2011/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/11\": {\"exercise\": {\"eid\": \"e2155\", \"logical_representation\": [\"2011/05/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/05/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2156\", \"logical_representation\": [\"2011/05/11\", \"breakfast\", \"pancakes\", \"Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/05/11?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2011/05/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/12\": {\"chat1\": {\"eid\": \"e2157\", \"logical_representation\": [\"2011/05/12\", \"Avery, Lydia, Nevaeh\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Avery, Lydia, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Nevaeh in the early evening on 2011/05/12?\", \"39 minutes\"], [\"who did I talk to on 2011/05/12?\", \"Avery, Lydia, Nevaeh\"], [\"Did I talk to Avery, Lydia, Nevaeh on 2011/05/12?\", \"yes\"], [\"Did I talk to anyone on 2011/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2158\", \"logical_representation\": [\"2011/05/12\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/05/12?\", \"47 minutes\"], [\"what did I read on 2011/05/12?\", \"news\"], [\"Did I read on 2011/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/13\": {\"exercise\": {\"eid\": \"e2159\", \"logical_representation\": [\"2011/05/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/05/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2160\", \"logical_representation\": [\"2011/05/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2161\", \"logical_representation\": [\"2011/05/13\", \"lunch\", \"steak\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/05/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2162\", \"logical_representation\": [\"2011/05/13\", \"dinner\", \"indian food\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had indian food for dinner with Carter, Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/05/13?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for dinner on 2011/05/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2163\", \"logical_representation\": [\"2011/05/13\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/05/13?\", \"14 minutes\"], [\"what did I read on 2011/05/13?\", \"a book\"], [\"Did I read on 2011/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2164\", \"logical_representation\": [\"2011/05/13\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/13?\", \"43 minutes\"], [\"what did I watch on tv on 2011/05/13?\", \"a documentary\"], [\"Did I watch tv on 2011/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/14\": {\"chat0\": {\"eid\": \"e2165\", \"logical_representation\": [\"2011/05/14\", \"Layla, Eva, Claire\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Layla, Eva, Claire for 25 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Claire in the early afternoon on 2011/05/14?\", \"25 minutes\"], [\"who did I talk to on 2011/05/14?\", \"Layla, Eva, Claire\"], [\"Did I talk to Layla, Eva, Claire on 2011/05/14?\", \"yes\"], [\"Did I talk to anyone on 2011/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2166\", \"logical_representation\": [\"2011/05/14\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/05/14?\", \"23 minutes\"], [\"what did I read on 2011/05/14?\", \"a book\"], [\"Did I read on 2011/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2167\", \"logical_representation\": [\"2011/05/14\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/14?\", \"8 minutes\"], [\"what did I watch on tv on 2011/05/14?\", \"a tv series\"], [\"Did I watch tv on 2011/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/16\": {\"exercise\": {\"eid\": \"e2173\", \"logical_representation\": [\"2011/05/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/05/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2174\", \"logical_representation\": [\"2011/05/16\", \"dinner\", \"sandwich\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/05/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2175\", \"logical_representation\": [\"2011/05/16\", \"Olivia, Nora, Piper, Avery\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora, Piper, Avery for 36 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Piper, Avery during lunch hours on 2011/05/16?\", \"36 minutes\"], [\"who did I talk to on 2011/05/16?\", \"Olivia, Nora, Piper, Avery\"], [\"Did I talk to Olivia, Nora, Piper, Avery on 2011/05/16?\", \"yes\"], [\"Did I talk to anyone on 2011/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2176\", \"logical_representation\": [\"2011/05/16\", \"Piper, Eva, Rylee, Olivia\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Rylee, Olivia for 28 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Rylee, Olivia late in the evening on 2011/05/16?\", \"28 minutes\"], [\"who did I talk to on 2011/05/16?\", \"Piper, Eva, Rylee, Olivia\"], [\"Did I talk to Piper, Eva, Rylee, Olivia on 2011/05/16?\", \"yes\"], [\"Did I talk to anyone on 2011/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/17\": {\"lunch\": {\"eid\": \"e2177\", \"logical_representation\": [\"2011/05/17\", \"lunch\", \"a burger\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/05/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2178\", \"logical_representation\": [\"2011/05/17\", \"Rylee, Lydia, Kinsley, Claire\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Rylee, Lydia, Kinsley, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Kinsley, Claire in the morning on 2011/05/17?\", \"54 minutes\"], [\"who did I talk to on 2011/05/17?\", \"Rylee, Lydia, Kinsley, Claire\"], [\"Did I talk to Rylee, Lydia, Kinsley, Claire on 2011/05/17?\", \"yes\"], [\"Did I talk to anyone on 2011/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2179\", \"logical_representation\": [\"2011/05/17\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/05/17?\", \"20 minutes\"], [\"what did I read on 2011/05/17?\", \"a book\"], [\"Did I read on 2011/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/19\": {\"exercise\": {\"eid\": \"e2181\", \"logical_representation\": [\"2011/05/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/05/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2182\", \"logical_representation\": [\"2011/05/19\", \"lunch\", \"fish and chips\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/05/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2183\", \"logical_representation\": [\"2011/05/19\", \"Claire\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the morning on 2011/05/19?\", \"39 minutes\"], [\"who did I talk to on 2011/05/19?\", \"Claire\"], [\"Did I talk to Claire on 2011/05/19?\", \"yes\"], [\"Did I talk to anyone on 2011/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2184\", \"logical_representation\": [\"2011/05/19\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/05/19?\", \"30 minutes\"], [\"what did I read on 2011/05/19?\", \"social media\"], [\"Did I read on 2011/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2185\", \"logical_representation\": [\"2011/05/19\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/19?\", \"32 minutes\"], [\"what did I watch on tv on 2011/05/19?\", \"a movie\"], [\"Did I watch tv on 2011/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/21\": {\"breakfast\": {\"eid\": \"e2186\", \"logical_representation\": [\"2011/05/21\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2187\", \"logical_representation\": [\"2011/05/21\", \"Nevaeh, Claire, Layla\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Nevaeh, Claire, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire, Layla late in the evening on 2011/05/21?\", \"38 minutes\"], [\"who did I talk to on 2011/05/21?\", \"Nevaeh, Claire, Layla\"], [\"Did I talk to Nevaeh, Claire, Layla on 2011/05/21?\", \"yes\"], [\"Did I talk to anyone on 2011/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2188\", \"logical_representation\": [\"2011/05/21\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/05/21?\", \"55 minutes\"], [\"what did I read on 2011/05/21?\", \"a book\"], [\"Did I read on 2011/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/22\": {\"exercise\": {\"eid\": \"e2189\", \"logical_representation\": [\"2011/05/22\", \"running\"], \"text_template_based\": \"I did running on 2011/05/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2190\", \"logical_representation\": [\"2011/05/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2191\", \"logical_representation\": [\"2011/05/22\", \"dinner\", \"chinese food\", \"Kinsley, Piper, Nora, Olivia, Piper, Layla, Claire, Rylee, Nevaeh, Hazel, Avery, Lydia\"], \"text_template_based\": \"I had dinner with Kinsley, Piper, Nora, Olivia, Piper, Layla, Claire, Rylee, Nevaeh, Hazel, Avery, Lydia. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/05/22?\", \"Kinsley, Piper, Nora, Olivia, Piper, Layla, Claire, Rylee, Nevaeh, Hazel, Avery, Lydia\"], [\"what did I eat for dinner on 2011/05/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2011/05/24\": {\"breakfast\": {\"eid\": \"e2195\", \"logical_representation\": [\"2011/05/24\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/05/24?\", \"Andrew\"], [\"what did I eat for breakfast on 2011/05/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2196\", \"logical_representation\": [\"2011/05/24\", \"lunch\", \"sushi\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/05/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2197\", \"logical_representation\": [\"2011/05/24\", \"a movie\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/24?\", \"49 minutes\"], [\"what did I watch on tv on 2011/05/24?\", \"a movie\"], [\"Did I watch tv on 2011/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/25\": {\"breakfast\": {\"eid\": \"e2198\", \"logical_representation\": [\"2011/05/25\", \"breakfast\", \"cereals\", \"Nevaeh, Olivia, Eva, Layla, Piper, Hazel, Claire, Avery, Nora\"], \"text_template_based\": \"I had breakfast with Nevaeh, Olivia, Eva, Layla, Piper, Hazel, Claire, Avery, Nora. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/05/25?\", \"Nevaeh, Olivia, Eva, Layla, Piper, Hazel, Claire, Avery, Nora\"], [\"what did I eat for breakfast on 2011/05/25\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2199\", \"logical_representation\": [\"2011/05/25\", \"dinner\", \"sandwich\", \"Olivia, Claire, Layla, Nora, Nevaeh, Piper, Rylee, Eva, Lydia\"], \"text_template_based\": \"I had sandwich for dinner with Olivia, Claire, Layla, Nora, Nevaeh, Piper, Rylee, Eva, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/05/25?\", \"Olivia, Claire, Layla, Nora, Nevaeh, Piper, Rylee, Eva, Lydia\"], [\"what did I eat for dinner on 2011/05/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2200\", \"logical_representation\": [\"2011/05/25\", \"Hazel\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2011/05/25?\", \"11 minutes\"], [\"who did I talk to on 2011/05/25?\", \"Hazel\"], [\"Did I talk to Hazel on 2011/05/25?\", \"yes\"], [\"Did I talk to anyone on 2011/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2201\", \"logical_representation\": [\"2011/05/25\", \"Rylee, Eva, Nora\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Rylee, Eva, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Nora in the early evening on 2011/05/25?\", \"19 minutes\"], [\"who did I talk to on 2011/05/25?\", \"Rylee, Eva, Nora\"], [\"Did I talk to Rylee, Eva, Nora on 2011/05/25?\", \"yes\"], [\"Did I talk to anyone on 2011/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2202\", \"logical_representation\": [\"2011/05/25\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/05/25?\", \"55 minutes\"], [\"what did I read on 2011/05/25?\", \"a book\"], [\"Did I read on 2011/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2203\", \"logical_representation\": [\"2011/05/25\", \"news\", \"17 minutes\"], \"text_template_based\": \"I watched news for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/25?\", \"17 minutes\"], [\"what did I watch on tv on 2011/05/25?\", \"news\"], [\"Did I watch tv on 2011/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/26\": {\"breakfast\": {\"eid\": \"e2204\", \"logical_representation\": [\"2011/05/26\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/26\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2205\", \"logical_representation\": [\"2011/05/26\", \"lunch\", \"sandwich\", \"Benjamin\"], \"text_template_based\": \"I had sandwich for lunch with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/05/26?\", \"Benjamin\"], [\"what did I eat for lunch on 2011/05/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2206\", \"logical_representation\": [\"2011/05/26\", \"dinner\", \"steak\", \"Andrew\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/05/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2207\", \"logical_representation\": [\"2011/05/26\", \"Claire, Nora, Eva, Rylee\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Claire, Nora, Eva, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Eva, Rylee in the morning on 2011/05/26?\", \"33 minutes\"], [\"who did I talk to on 2011/05/26?\", \"Claire, Nora, Eva, Rylee\"], [\"Did I talk to Claire, Nora, Eva, Rylee on 2011/05/26?\", \"yes\"], [\"Did I talk to anyone on 2011/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2208\", \"logical_representation\": [\"2011/05/26\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/05/26?\", \"50 minutes\"], [\"what did I read on 2011/05/26?\", \"news\"], [\"Did I read on 2011/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2209\", \"logical_representation\": [\"2011/05/26\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/26?\", \"46 minutes\"], [\"what did I watch on tv on 2011/05/26?\", \"news\"], [\"Did I watch tv on 2011/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/27\": {\"breakfast\": {\"eid\": \"e2210\", \"logical_representation\": [\"2011/05/27\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2211\", \"logical_representation\": [\"2011/05/27\", \"Eva, Avery, Piper\", \"in the early evening\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Eva, Avery, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Piper in the early evening on 2011/05/27?\", \"8 minutes\"], [\"who did I talk to on 2011/05/27?\", \"Eva, Avery, Piper\"], [\"Did I talk to Eva, Avery, Piper on 2011/05/27?\", \"yes\"], [\"Did I talk to anyone on 2011/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2212\", \"logical_representation\": [\"2011/05/27\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/05/27?\", \"11 minutes\"], [\"what did I read on 2011/05/27?\", \"social media\"], [\"Did I read on 2011/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2213\", \"logical_representation\": [\"2011/05/27\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/27?\", \"52 minutes\"], [\"what did I watch on tv on 2011/05/27?\", \"news\"], [\"Did I watch tv on 2011/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/30\": {\"lunch\": {\"eid\": \"e2222\", \"logical_representation\": [\"2011/05/30\", \"lunch\", \"pasta\", \"Piper, Rylee, Layla, Avery, Nevaeh, Lydia, Eva\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/05/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2223\", \"logical_representation\": [\"2011/05/30\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/30?\", \"50 minutes\"], [\"what did I watch on tv on 2011/05/30?\", \"news\"], [\"Did I watch tv on 2011/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/31\": {\"lunch\": {\"eid\": \"e2224\", \"logical_representation\": [\"2011/05/31\", \"lunch\", \"a burger\", \"Piper, Nevaeh, Nora, Piper, Hazel\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/05/31\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2225\", \"logical_representation\": [\"2011/05/31\", \"dinner\", \"steak\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/05/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2226\", \"logical_representation\": [\"2011/05/31\", \"Lydia, Piper\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Lydia, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper during lunch hours on 2011/05/31?\", \"49 minutes\"], [\"who did I talk to on 2011/05/31?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2011/05/31?\", \"yes\"], [\"Did I talk to anyone on 2011/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2227\", \"logical_representation\": [\"2011/05/31\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/05/31?\", \"52 minutes\"], [\"what did I read on 2011/05/31?\", \"news\"], [\"Did I read on 2011/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/01\": {\"exercise\": {\"eid\": \"e2228\", \"logical_representation\": [\"2011/06/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/06/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2229\", \"logical_representation\": [\"2011/06/01\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/06/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2230\", \"logical_representation\": [\"2011/06/01\", \"Piper, Nora\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Piper, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora in the early evening on 2011/06/01?\", \"25 minutes\"], [\"who did I talk to on 2011/06/01?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2011/06/01?\", \"yes\"], [\"Did I talk to anyone on 2011/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2231\", \"logical_representation\": [\"2011/06/01\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/06/01?\", \"17 minutes\"], [\"what did I read on 2011/06/01?\", \"a book\"], [\"Did I read on 2011/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2232\", \"logical_representation\": [\"2011/06/01\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I watched a documentary for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/01?\", \"44 minutes\"], [\"what did I watch on tv on 2011/06/01?\", \"a documentary\"], [\"Did I watch tv on 2011/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/02\": {\"breakfast\": {\"eid\": \"e2233\", \"logical_representation\": [\"2011/06/02\", \"breakfast\", \"pancakes\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2234\", \"logical_representation\": [\"2011/06/02\", \"Kinsley, Eva, Layla, Avery\", \"in the morning\", \"23 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva, Layla, Avery for 23 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Layla, Avery in the morning on 2011/06/02?\", \"23 minutes\"], [\"who did I talk to on 2011/06/02?\", \"Kinsley, Eva, Layla, Avery\"], [\"Did I talk to Kinsley, Eva, Layla, Avery on 2011/06/02?\", \"yes\"], [\"Did I talk to anyone on 2011/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2235\", \"logical_representation\": [\"2011/06/02\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/02?\", \"33 minutes\"], [\"what did I watch on tv on 2011/06/02?\", \"news\"], [\"Did I watch tv on 2011/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/04\": {\"breakfast\": {\"eid\": \"e2243\", \"logical_representation\": [\"2011/06/04\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2244\", \"logical_representation\": [\"2011/06/04\", \"dinner\", \"fish and chips\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/06/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2245\", \"logical_representation\": [\"2011/06/04\", \"Nevaeh, Lydia\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Nevaeh, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia in the early evening on 2011/06/04?\", \"5 minutes\"], [\"who did I talk to on 2011/06/04?\", \"Nevaeh, Lydia\"], [\"Did I talk to Nevaeh, Lydia on 2011/06/04?\", \"yes\"], [\"Did I talk to anyone on 2011/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2246\", \"logical_representation\": [\"2011/06/04\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/06/04?\", \"41 minutes\"], [\"what did I read on 2011/06/04?\", \"news\"], [\"Did I read on 2011/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2247\", \"logical_representation\": [\"2011/06/04\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/04?\", \"40 minutes\"], [\"what did I watch on tv on 2011/06/04?\", \"a documentary\"], [\"Did I watch tv on 2011/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/05\": {\"breakfast\": {\"eid\": \"e2248\", \"logical_representation\": [\"2011/06/05\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2249\", \"logical_representation\": [\"2011/06/05\", \"dinner\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/06/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2011/06/07\": {\"exercise\": {\"eid\": \"e2253\", \"logical_representation\": [\"2011/06/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/06/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2254\", \"logical_representation\": [\"2011/06/07\", \"breakfast\", \"cereals\", \"Claire, Piper\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2255\", \"logical_representation\": [\"2011/06/07\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I watched a movie for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/07?\", \"32 minutes\"], [\"what did I watch on tv on 2011/06/07?\", \"a movie\"], [\"Did I watch tv on 2011/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/09\": {\"exercise\": {\"eid\": \"e2262\", \"logical_representation\": [\"2011/06/09\", \"biking\"], \"text_template_based\": \"I did biking on 2011/06/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2263\", \"logical_representation\": [\"2011/06/09\", \"breakfast\", \"oatmeal\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had oatmeal for breakfast with Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/06/09?\", \"Carter, Emily, Kayden\"], [\"what did I eat for breakfast on 2011/06/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2264\", \"logical_representation\": [\"2011/06/09\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/06/09?\", \"9 minutes\"], [\"what did I read on 2011/06/09?\", \"news\"], [\"Did I read on 2011/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/10\": {\"breakfast\": {\"eid\": \"e2265\", \"logical_representation\": [\"2011/06/10\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/10\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2266\", \"logical_representation\": [\"2011/06/10\", \"dinner\", \"pasta\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/06/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2267\", \"logical_representation\": [\"2011/06/10\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I watched a tv series for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/10?\", \"22 minutes\"], [\"what did I watch on tv on 2011/06/10?\", \"a tv series\"], [\"Did I watch tv on 2011/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/12\": {\"exercise\": {\"eid\": \"e2271\", \"logical_representation\": [\"2011/06/12\", \"biking\"], \"text_template_based\": \"I did biking on 2011/06/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/12?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2272\", \"logical_representation\": [\"2011/06/12\", \"Piper, Claire, Olivia\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Piper, Claire, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Olivia in the early afternoon on 2011/06/12?\", \"37 minutes\"], [\"who did I talk to on 2011/06/12?\", \"Piper, Claire, Olivia\"], [\"Did I talk to Piper, Claire, Olivia on 2011/06/12?\", \"yes\"], [\"Did I talk to anyone on 2011/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2273\", \"logical_representation\": [\"2011/06/12\", \"Nevaeh\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 46 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the late afternoon on 2011/06/12?\", \"46 minutes\"], [\"who did I talk to on 2011/06/12?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2011/06/12?\", \"yes\"], [\"Did I talk to anyone on 2011/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2274\", \"logical_representation\": [\"2011/06/12\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/06/12?\", \"46 minutes\"], [\"what did I read on 2011/06/12?\", \"a book\"], [\"Did I read on 2011/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/13\": {\"dinner\": {\"eid\": \"e2275\", \"logical_representation\": [\"2011/06/13\", \"dinner\", \"a burger\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/06/13\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2011/06/15\": {\"exercise\": {\"eid\": \"e2282\", \"logical_representation\": [\"2011/06/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/06/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2283\", \"logical_representation\": [\"2011/06/15\", \"breakfast\", \"toast and cheese\", \"Layla, Piper, Olivia, Claire, Nora, Hazel, Piper, Kinsley, Rylee, Eva, Lydia\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2284\", \"logical_representation\": [\"2011/06/15\", \"lunch\", \"chinese food\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/06/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2285\", \"logical_representation\": [\"2011/06/15\", \"dinner\", \"indian food\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had indian food for dinner with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/06/15?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2011/06/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2286\", \"logical_representation\": [\"2011/06/15\", \"Piper\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2011/06/15?\", \"15 minutes\"], [\"who did I talk to on 2011/06/15?\", \"Piper\"], [\"Did I talk to Piper on 2011/06/15?\", \"yes\"], [\"Did I talk to anyone on 2011/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2287\", \"logical_representation\": [\"2011/06/15\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I watched a tv series for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/15?\", \"23 minutes\"], [\"what did I watch on tv on 2011/06/15?\", \"a tv series\"], [\"Did I watch tv on 2011/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/16\": {\"exercise\": {\"eid\": \"e2288\", \"logical_representation\": [\"2011/06/16\", \"running\"], \"text_template_based\": \"I did running on 2011/06/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2289\", \"logical_representation\": [\"2011/06/16\", \"Hazel, Olivia\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I talked to Hazel, Olivia for 24 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia during lunch hours on 2011/06/16?\", \"24 minutes\"], [\"who did I talk to on 2011/06/16?\", \"Hazel, Olivia\"], [\"Did I talk to Hazel, Olivia on 2011/06/16?\", \"yes\"], [\"Did I talk to anyone on 2011/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2290\", \"logical_representation\": [\"2011/06/16\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/06/16?\", \"18 minutes\"], [\"what did I read on 2011/06/16?\", \"news\"], [\"Did I read on 2011/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2291\", \"logical_representation\": [\"2011/06/16\", \"a tv series\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/16?\", \"53 minutes\"], [\"what did I watch on tv on 2011/06/16?\", \"a tv series\"], [\"Did I watch tv on 2011/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/17\": {\"exercise\": {\"eid\": \"e2292\", \"logical_representation\": [\"2011/06/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/06/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2293\", \"logical_representation\": [\"2011/06/17\", \"breakfast\", \"pancakes\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/17\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2294\", \"logical_representation\": [\"2011/06/17\", \"lunch\", \"chinese food\", \"Piper, Hazel, Olivia\"], \"text_template_based\": \"I had chinese food for lunch with Piper, Hazel, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/06/17?\", \"Piper, Hazel, Olivia\"], [\"what did I eat for lunch on 2011/06/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2295\", \"logical_representation\": [\"2011/06/17\", \"Rylee, Layla, Eva\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I talked to Rylee, Layla, Eva for 6 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla, Eva in the morning on 2011/06/17?\", \"6 minutes\"], [\"who did I talk to on 2011/06/17?\", \"Rylee, Layla, Eva\"], [\"Did I talk to Rylee, Layla, Eva on 2011/06/17?\", \"yes\"], [\"Did I talk to anyone on 2011/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2296\", \"logical_representation\": [\"2011/06/17\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/06/17?\", \"55 minutes\"], [\"what did I read on 2011/06/17?\", \"news\"], [\"Did I read on 2011/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/19\": {\"exercise\": {\"eid\": \"e2302\", \"logical_representation\": [\"2011/06/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/06/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2303\", \"logical_representation\": [\"2011/06/19\", \"Nora\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I talked to Nora for 22 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2011/06/19?\", \"22 minutes\"], [\"who did I talk to on 2011/06/19?\", \"Nora\"], [\"Did I talk to Nora on 2011/06/19?\", \"yes\"], [\"Did I talk to anyone on 2011/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2304\", \"logical_representation\": [\"2011/06/19\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/06/19?\", \"11 minutes\"], [\"what did I read on 2011/06/19?\", \"news\"], [\"Did I read on 2011/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2305\", \"logical_representation\": [\"2011/06/19\", \"news\", \"23 minutes\"], \"text_template_based\": \"I watched news for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/19?\", \"23 minutes\"], [\"what did I watch on tv on 2011/06/19?\", \"news\"], [\"Did I watch tv on 2011/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/20\": {\"exercise\": {\"eid\": \"e2306\", \"logical_representation\": [\"2011/06/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/06/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2307\", \"logical_representation\": [\"2011/06/20\", \"breakfast\", \"oatmeal\", \"Eva, Rylee, Piper, Hazel, Piper, Nora, Olivia, Kinsley\"], \"text_template_based\": \"I had oatmeal for breakfast with Eva, Rylee, Piper, Hazel, Piper, Nora, Olivia, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/06/20?\", \"Eva, Rylee, Piper, Hazel, Piper, Nora, Olivia, Kinsley\"], [\"what did I eat for breakfast on 2011/06/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2308\", \"logical_representation\": [\"2011/06/20\", \"dinner\", \"steak\", \"Claire, Piper, Eva, Rylee, Lydia, Olivia, Nevaeh, Hazel, Piper, Kinsley, Nora, Avery\"], \"text_template_based\": \"I had steak for dinner with Claire, Piper, Eva, Rylee, Lydia, Olivia, Nevaeh, Hazel, Piper, Kinsley, Nora, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/06/20?\", \"Claire, Piper, Eva, Rylee, Lydia, Olivia, Nevaeh, Hazel, Piper, Kinsley, Nora, Avery\"], [\"what did I eat for dinner on 2011/06/20\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2309\", \"logical_representation\": [\"2011/06/20\", \"Lydia, Nora, Piper, Rylee\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Lydia, Nora, Piper, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Piper, Rylee in the early afternoon on 2011/06/20?\", \"10 minutes\"], [\"who did I talk to on 2011/06/20?\", \"Lydia, Nora, Piper, Rylee\"], [\"Did I talk to Lydia, Nora, Piper, Rylee on 2011/06/20?\", \"yes\"], [\"Did I talk to anyone on 2011/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/21\": {\"dinner\": {\"eid\": \"e2310\", \"logical_representation\": [\"2011/06/21\", \"dinner\", \"a burger\", \"Carter\"], \"text_template_based\": \"I had a burger for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/06/21?\", \"Carter\"], [\"what did I eat for dinner on 2011/06/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2311\", \"logical_representation\": [\"2011/06/21\", \"Piper, Lydia, Piper, Nora\", \"in the morning\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Piper, Lydia, Piper, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Piper, Nora in the morning on 2011/06/21?\", \"42 minutes\"], [\"who did I talk to on 2011/06/21?\", \"Piper, Lydia, Piper, Nora\"], [\"Did I talk to Piper, Lydia, Piper, Nora on 2011/06/21?\", \"yes\"], [\"Did I talk to anyone on 2011/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2312\", \"logical_representation\": [\"2011/06/21\", \"Kinsley, Nora, Eva, Layla\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Kinsley, Nora, Eva, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Eva, Layla in the morning on 2011/06/21?\", \"44 minutes\"], [\"who did I talk to on 2011/06/21?\", \"Kinsley, Nora, Eva, Layla\"], [\"Did I talk to Kinsley, Nora, Eva, Layla on 2011/06/21?\", \"yes\"], [\"Did I talk to anyone on 2011/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2313\", \"logical_representation\": [\"2011/06/21\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/06/21?\", \"27 minutes\"], [\"what did I read on 2011/06/21?\", \"news\"], [\"Did I read on 2011/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2314\", \"logical_representation\": [\"2011/06/21\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I watched a documentary for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/21?\", \"51 minutes\"], [\"what did I watch on tv on 2011/06/21?\", \"a documentary\"], [\"Did I watch tv on 2011/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/22\": {\"exercise\": {\"eid\": \"e2315\", \"logical_representation\": [\"2011/06/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/06/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2316\", \"logical_representation\": [\"2011/06/22\", \"lunch\", \"pasta\", \"Jackson, Avery\"], \"text_template_based\": \"I had lunch with Jackson, Avery. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/06/22?\", \"Jackson, Avery\"], [\"what did I eat for lunch on 2011/06/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2317\", \"logical_representation\": [\"2011/06/22\", \"dinner\", \"fish and chips\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/06/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2318\", \"logical_representation\": [\"2011/06/22\", \"Kinsley, Rylee, Eva, Piper\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee, Eva, Piper for 45 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Eva, Piper in the late afternoon on 2011/06/22?\", \"45 minutes\"], [\"who did I talk to on 2011/06/22?\", \"Kinsley, Rylee, Eva, Piper\"], [\"Did I talk to Kinsley, Rylee, Eva, Piper on 2011/06/22?\", \"yes\"], [\"Did I talk to anyone on 2011/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2319\", \"logical_representation\": [\"2011/06/22\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/06/22?\", \"55 minutes\"], [\"what did I read on 2011/06/22?\", \"social media\"], [\"Did I read on 2011/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/23\": {\"dinner\": {\"eid\": \"e2320\", \"logical_representation\": [\"2011/06/23\", \"dinner\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/06/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2321\", \"logical_representation\": [\"2011/06/23\", \"Lydia, Piper\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Lydia, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper during lunch hours on 2011/06/23?\", \"27 minutes\"], [\"who did I talk to on 2011/06/23?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2011/06/23?\", \"yes\"], [\"Did I talk to anyone on 2011/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/26\": {\"lunch\": {\"eid\": \"e2328\", \"logical_representation\": [\"2011/06/26\", \"lunch\", \"pasta\", \"Kinsley, Eva, Nora\"], \"text_template_based\": \"I had pasta for lunch with Kinsley, Eva, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/06/26?\", \"Kinsley, Eva, Nora\"], [\"what did I eat for lunch on 2011/06/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2329\", \"logical_representation\": [\"2011/06/26\", \"Nevaeh, Claire, Rylee, Layla\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Claire, Rylee, Layla for 20 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire, Rylee, Layla in the early afternoon on 2011/06/26?\", \"20 minutes\"], [\"who did I talk to on 2011/06/26?\", \"Nevaeh, Claire, Rylee, Layla\"], [\"Did I talk to Nevaeh, Claire, Rylee, Layla on 2011/06/26?\", \"yes\"], [\"Did I talk to anyone on 2011/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2330\", \"logical_representation\": [\"2011/06/26\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/26?\", \"42 minutes\"], [\"what did I watch on tv on 2011/06/26?\", \"a tv series\"], [\"Did I watch tv on 2011/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/27\": {\"exercise\": {\"eid\": \"e2331\", \"logical_representation\": [\"2011/06/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/06/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2332\", \"logical_representation\": [\"2011/06/27\", \"breakfast\", \"toast and cheese\", \"Rylee, Kinsley, Lydia, Avery, Piper, Piper\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2333\", \"logical_representation\": [\"2011/06/27\", \"lunch\", \"steak\", \"Nora, Olivia, Nevaeh, Rylee, Hazel, Eva, Kinsley, Layla\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/06/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2334\", \"logical_representation\": [\"2011/06/27\", \"dinner\", \"tacos\", \"Hazel, Avery, Layla, Rylee, Eva, Claire\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/06/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2335\", \"logical_representation\": [\"2011/06/27\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/06/27?\", \"11 minutes\"], [\"what did I read on 2011/06/27?\", \"a book\"], [\"Did I read on 2011/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/28\": {\"lunch\": {\"eid\": \"e2336\", \"logical_representation\": [\"2011/06/28\", \"lunch\", \"a burger\", \"Layla, Claire, Piper, Olivia, Avery, Eva, Hazel, Nevaeh, Rylee, Kinsley\"], \"text_template_based\": \"I had a burger for lunch with Layla, Claire, Piper, Olivia, Avery, Eva, Hazel, Nevaeh, Rylee, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/06/28?\", \"Layla, Claire, Piper, Olivia, Avery, Eva, Hazel, Nevaeh, Rylee, Kinsley\"], [\"what did I eat for lunch on 2011/06/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2337\", \"logical_representation\": [\"2011/06/28\", \"Layla\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2011/06/28?\", \"37 minutes\"], [\"who did I talk to on 2011/06/28?\", \"Layla\"], [\"Did I talk to Layla on 2011/06/28?\", \"yes\"], [\"Did I talk to anyone on 2011/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2338\", \"logical_representation\": [\"2011/06/28\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/06/28?\", \"38 minutes\"], [\"what did I read on 2011/06/28?\", \"social media\"], [\"Did I read on 2011/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2339\", \"logical_representation\": [\"2011/06/28\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/28?\", \"23 minutes\"], [\"what did I watch on tv on 2011/06/28?\", \"a movie\"], [\"Did I watch tv on 2011/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/29\": {\"lunch\": {\"eid\": \"e2340\", \"logical_representation\": [\"2011/06/29\", \"lunch\", \"fish and chips\", \"Claire, Kinsley, Lydia, Eva, Nevaeh, Olivia, Rylee\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/06/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2341\", \"logical_representation\": [\"2011/06/29\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/06/29?\", \"8 minutes\"], [\"what did I read on 2011/06/29?\", \"news\"], [\"Did I read on 2011/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2342\", \"logical_representation\": [\"2011/06/29\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/29?\", \"21 minutes\"], [\"what did I watch on tv on 2011/06/29?\", \"a tv series\"], [\"Did I watch tv on 2011/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/01\": {\"lunch\": {\"eid\": \"e2349\", \"logical_representation\": [\"2011/07/01\", \"lunch\", \"pasta\", \"Kayden, Andrew\"], \"text_template_based\": \"I had pasta for lunch with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/07/01?\", \"Kayden, Andrew\"], [\"what did I eat for lunch on 2011/07/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2350\", \"logical_representation\": [\"2011/07/01\", \"dinner\", \"pasta\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had pasta for dinner with Willow, Benjamin, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/07/01?\", \"Willow, Benjamin, Jackson, Avery\"], [\"what did I eat for dinner on 2011/07/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2351\", \"logical_representation\": [\"2011/07/01\", \"Piper, Nevaeh, Hazel\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Piper, Nevaeh, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Hazel in the morning on 2011/07/01?\", \"47 minutes\"], [\"who did I talk to on 2011/07/01?\", \"Piper, Nevaeh, Hazel\"], [\"Did I talk to Piper, Nevaeh, Hazel on 2011/07/01?\", \"yes\"], [\"Did I talk to anyone on 2011/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/02\": {\"exercise\": {\"eid\": \"e2352\", \"logical_representation\": [\"2011/07/02\", \"biking\"], \"text_template_based\": \"I did biking on 2011/07/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/02?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2353\", \"logical_representation\": [\"2011/07/02\", \"breakfast\", \"toast and cheese\", \"Piper, Piper, Lydia, Kinsley, Hazel, Claire\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2354\", \"logical_representation\": [\"2011/07/02\", \"lunch\", \"steak\", \"Nora\"], \"text_template_based\": \"I had steak for lunch with Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/07/02?\", \"Nora\"], [\"what did I eat for lunch on 2011/07/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2355\", \"logical_representation\": [\"2011/07/02\", \"dinner\", \"indian food\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/07/02?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for dinner on 2011/07/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2356\", \"logical_representation\": [\"2011/07/02\", \"Claire, Nora, Avery\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Avery for 55 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Avery in the late afternoon on 2011/07/02?\", \"55 minutes\"], [\"who did I talk to on 2011/07/02?\", \"Claire, Nora, Avery\"], [\"Did I talk to Claire, Nora, Avery on 2011/07/02?\", \"yes\"], [\"Did I talk to anyone on 2011/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2357\", \"logical_representation\": [\"2011/07/02\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/07/02?\", \"15 minutes\"], [\"what did I read on 2011/07/02?\", \"news\"], [\"Did I read on 2011/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2358\", \"logical_representation\": [\"2011/07/02\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I watched a movie for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/02?\", \"10 minutes\"], [\"what did I watch on tv on 2011/07/02?\", \"a movie\"], [\"Did I watch tv on 2011/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/05\": {\"exercise\": {\"eid\": \"e2363\", \"logical_representation\": [\"2011/07/05\", \"biking\"], \"text_template_based\": \"I did biking on 2011/07/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/05?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2364\", \"logical_representation\": [\"2011/07/05\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2365\", \"logical_representation\": [\"2011/07/05\", \"lunch\", \"sandwich\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Andrew, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/07/05?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2011/07/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2366\", \"logical_representation\": [\"2011/07/05\", \"dinner\", \"tacos\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/07/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2367\", \"logical_representation\": [\"2011/07/05\", \"Claire, Eva, Piper\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Claire, Eva, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Piper in the morning on 2011/07/05?\", \"31 minutes\"], [\"who did I talk to on 2011/07/05?\", \"Claire, Eva, Piper\"], [\"Did I talk to Claire, Eva, Piper on 2011/07/05?\", \"yes\"], [\"Did I talk to anyone on 2011/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2368\", \"logical_representation\": [\"2011/07/05\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/07/05?\", \"48 minutes\"], [\"what did I read on 2011/07/05?\", \"social media\"], [\"Did I read on 2011/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2369\", \"logical_representation\": [\"2011/07/05\", \"news\", \"55 minutes\"], \"text_template_based\": \"I watched news for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/05?\", \"55 minutes\"], [\"what did I watch on tv on 2011/07/05?\", \"news\"], [\"Did I watch tv on 2011/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/07\": {\"exercise\": {\"eid\": \"e2373\", \"logical_representation\": [\"2011/07/07\", \"biking\"], \"text_template_based\": \"I did biking on 2011/07/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/07?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2374\", \"logical_representation\": [\"2011/07/07\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2375\", \"logical_representation\": [\"2011/07/07\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I watched a tv series for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/07?\", \"7 minutes\"], [\"what did I watch on tv on 2011/07/07?\", \"a tv series\"], [\"Did I watch tv on 2011/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/09\": {\"lunch\": {\"eid\": \"e2379\", \"logical_representation\": [\"2011/07/09\", \"lunch\", \"chinese food\", \"Nora, Layla\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/07/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2380\", \"logical_representation\": [\"2011/07/09\", \"Rylee, Hazel\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Rylee, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel in the early afternoon on 2011/07/09?\", \"7 minutes\"], [\"who did I talk to on 2011/07/09?\", \"Rylee, Hazel\"], [\"Did I talk to Rylee, Hazel on 2011/07/09?\", \"yes\"], [\"Did I talk to anyone on 2011/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2381\", \"logical_representation\": [\"2011/07/09\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/07/09?\", \"39 minutes\"], [\"what did I read on 2011/07/09?\", \"a book\"], [\"Did I read on 2011/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/11\": {\"exercise\": {\"eid\": \"e2386\", \"logical_representation\": [\"2011/07/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/07/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2387\", \"logical_representation\": [\"2011/07/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Carter\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2388\", \"logical_representation\": [\"2011/07/11\", \"Eva, Layla, Claire\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Eva, Layla, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Claire in the late afternoon on 2011/07/11?\", \"45 minutes\"], [\"who did I talk to on 2011/07/11?\", \"Eva, Layla, Claire\"], [\"Did I talk to Eva, Layla, Claire on 2011/07/11?\", \"yes\"], [\"Did I talk to anyone on 2011/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/13\": {\"exercise\": {\"eid\": \"e2394\", \"logical_representation\": [\"2011/07/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/07/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2395\", \"logical_representation\": [\"2011/07/13\", \"dinner\", \"a burger\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/07/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2396\", \"logical_representation\": [\"2011/07/13\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/07/13?\", \"10 minutes\"], [\"what did I read on 2011/07/13?\", \"news\"], [\"Did I read on 2011/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/14\": {\"breakfast\": {\"eid\": \"e2397\", \"logical_representation\": [\"2011/07/14\", \"breakfast\", \"oatmeal\", \"Avery\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2398\", \"logical_representation\": [\"2011/07/14\", \"lunch\", \"chinese food\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had chinese food for lunch with Jackson, Benjamin, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/07/14?\", \"Jackson, Benjamin, Avery, Willow\"], [\"what did I eat for lunch on 2011/07/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2399\", \"logical_representation\": [\"2011/07/14\", \"Claire, Kinsley, Olivia\", \"in the early afternoon\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Claire, Kinsley, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Olivia in the early afternoon on 2011/07/14?\", \"43 minutes\"], [\"who did I talk to on 2011/07/14?\", \"Claire, Kinsley, Olivia\"], [\"Did I talk to Claire, Kinsley, Olivia on 2011/07/14?\", \"yes\"], [\"Did I talk to anyone on 2011/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/15\": {\"chat1\": {\"eid\": \"e2400\", \"logical_representation\": [\"2011/07/15\", \"Rylee, Hazel, Eva\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Rylee, Hazel, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel, Eva in the early afternoon on 2011/07/15?\", \"23 minutes\"], [\"who did I talk to on 2011/07/15?\", \"Rylee, Hazel, Eva\"], [\"Did I talk to Rylee, Hazel, Eva on 2011/07/15?\", \"yes\"], [\"Did I talk to anyone on 2011/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2401\", \"logical_representation\": [\"2011/07/15\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/07/15?\", \"25 minutes\"], [\"what did I read on 2011/07/15?\", \"news\"], [\"Did I read on 2011/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2402\", \"logical_representation\": [\"2011/07/15\", \"a movie\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/15?\", \"8 minutes\"], [\"what did I watch on tv on 2011/07/15?\", \"a movie\"], [\"Did I watch tv on 2011/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/17\": {\"breakfast\": {\"eid\": \"e2407\", \"logical_representation\": [\"2011/07/17\", \"breakfast\", \"toast and cheese\", \"Nora, Hazel, Kinsley, Eva, Claire, Nevaeh, Piper\"], \"text_template_based\": \"I had toast and cheese for breakfast with Nora, Hazel, Kinsley, Eva, Claire, Nevaeh, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/07/17?\", \"Nora, Hazel, Kinsley, Eva, Claire, Nevaeh, Piper\"], [\"what did I eat for breakfast on 2011/07/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2408\", \"logical_representation\": [\"2011/07/17\", \"dinner\", \"chinese food\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had chinese food for dinner with Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/07/17?\", \"Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2011/07/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2409\", \"logical_representation\": [\"2011/07/17\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/07/17?\", \"16 minutes\"], [\"what did I read on 2011/07/17?\", \"social media\"], [\"Did I read on 2011/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2410\", \"logical_representation\": [\"2011/07/17\", \"news\", \"21 minutes\"], \"text_template_based\": \"I watched news for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/17?\", \"21 minutes\"], [\"what did I watch on tv on 2011/07/17?\", \"news\"], [\"Did I watch tv on 2011/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/18\": {\"lunch\": {\"eid\": \"e2411\", \"logical_representation\": [\"2011/07/18\", \"lunch\", \"sushi\", \"Benjamin\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/07/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2412\", \"logical_representation\": [\"2011/07/18\", \"Kinsley, Nora, Eva, Layla\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora, Eva, Layla for 18 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Eva, Layla in the late afternoon on 2011/07/18?\", \"18 minutes\"], [\"who did I talk to on 2011/07/18?\", \"Kinsley, Nora, Eva, Layla\"], [\"Did I talk to Kinsley, Nora, Eva, Layla on 2011/07/18?\", \"yes\"], [\"Did I talk to anyone on 2011/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2413\", \"logical_representation\": [\"2011/07/18\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/07/18?\", \"5 minutes\"], [\"what did I read on 2011/07/18?\", \"news\"], [\"Did I read on 2011/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2414\", \"logical_representation\": [\"2011/07/18\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I watched a tv series for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/18?\", \"27 minutes\"], [\"what did I watch on tv on 2011/07/18?\", \"a tv series\"], [\"Did I watch tv on 2011/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/20\": {\"breakfast\": {\"eid\": \"e2419\", \"logical_representation\": [\"2011/07/20\", \"breakfast\", \"pancakes\", \"Kinsley, Eva, Lydia, Rylee, Piper, Piper, Layla\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2420\", \"logical_representation\": [\"2011/07/20\", \"lunch\", \"pasta\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/07/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2421\", \"logical_representation\": [\"2011/07/20\", \"Olivia, Avery\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Olivia, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery during lunch hours on 2011/07/20?\", \"46 minutes\"], [\"who did I talk to on 2011/07/20?\", \"Olivia, Avery\"], [\"Did I talk to Olivia, Avery on 2011/07/20?\", \"yes\"], [\"Did I talk to anyone on 2011/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2422\", \"logical_representation\": [\"2011/07/20\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I watched a tv series for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/20?\", \"7 minutes\"], [\"what did I watch on tv on 2011/07/20?\", \"a tv series\"], [\"Did I watch tv on 2011/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/22\": {\"breakfast\": {\"eid\": \"e2428\", \"logical_representation\": [\"2011/07/22\", \"breakfast\", \"toast and cheese\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2429\", \"logical_representation\": [\"2011/07/22\", \"dinner\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/07/22?\", \"Emily\"], [\"what did I eat for dinner on 2011/07/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2430\", \"logical_representation\": [\"2011/07/22\", \"Piper, Rylee, Nora, Eva\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Piper, Rylee, Nora, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Nora, Eva in the early afternoon on 2011/07/22?\", \"17 minutes\"], [\"who did I talk to on 2011/07/22?\", \"Piper, Rylee, Nora, Eva\"], [\"Did I talk to Piper, Rylee, Nora, Eva on 2011/07/22?\", \"yes\"], [\"Did I talk to anyone on 2011/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2431\", \"logical_representation\": [\"2011/07/22\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/07/22?\", \"38 minutes\"], [\"what did I read on 2011/07/22?\", \"social media\"], [\"Did I read on 2011/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2432\", \"logical_representation\": [\"2011/07/22\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I watched a movie for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/22?\", \"5 minutes\"], [\"what did I watch on tv on 2011/07/22?\", \"a movie\"], [\"Did I watch tv on 2011/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/23\": {\"exercise\": {\"eid\": \"e2433\", \"logical_representation\": [\"2011/07/23\", \"running\"], \"text_template_based\": \"I did running on 2011/07/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2434\", \"logical_representation\": [\"2011/07/23\", \"breakfast\", \"pancakes\", \"Kayden, Carter\"], \"text_template_based\": \"I had pancakes for breakfast with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/07/23?\", \"Kayden, Carter\"], [\"what did I eat for breakfast on 2011/07/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2435\", \"logical_representation\": [\"2011/07/23\", \"lunch\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/07/23?\", \"Carter\"], [\"what did I eat for lunch on 2011/07/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2436\", \"logical_representation\": [\"2011/07/23\", \"dinner\", \"indian food\", \"Eva, Kinsley, Piper, Lydia, Layla, Olivia, Rylee, Avery, Nevaeh, Hazel\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/07/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2437\", \"logical_representation\": [\"2011/07/23\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/07/23?\", \"33 minutes\"], [\"what did I read on 2011/07/23?\", \"social media\"], [\"Did I read on 2011/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/26\": {\"exercise\": {\"eid\": \"e2450\", \"logical_representation\": [\"2011/07/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2451\", \"logical_representation\": [\"2011/07/26\", \"breakfast\", \"oatmeal\", \"Hazel\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2452\", \"logical_representation\": [\"2011/07/26\", \"dinner\", \"fish and chips\", \"Nora, Hazel, Lydia, Claire, Eva, Rylee, Avery, Nevaeh\"], \"text_template_based\": \"I had dinner with Nora, Hazel, Lydia, Claire, Eva, Rylee, Avery, Nevaeh. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/07/26?\", \"Nora, Hazel, Lydia, Claire, Eva, Rylee, Avery, Nevaeh\"], [\"what did I eat for dinner on 2011/07/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2453\", \"logical_representation\": [\"2011/07/26\", \"Kinsley\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I talked to Kinsley for 14 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2011/07/26?\", \"14 minutes\"], [\"who did I talk to on 2011/07/26?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2011/07/26?\", \"yes\"], [\"Did I talk to anyone on 2011/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/27\": {\"dinner\": {\"eid\": \"e2454\", \"logical_representation\": [\"2011/07/27\", \"dinner\", \"sushi\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/07/27?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2011/07/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2455\", \"logical_representation\": [\"2011/07/27\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/07/27?\", \"22 minutes\"], [\"what did I read on 2011/07/27?\", \"social media\"], [\"Did I read on 2011/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/28\": {\"exercise\": {\"eid\": \"e2456\", \"logical_representation\": [\"2011/07/28\", \"running\"], \"text_template_based\": \"I did running on 2011/07/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2457\", \"logical_representation\": [\"2011/07/28\", \"lunch\", \"a burger\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Kayden, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/07/28?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2011/07/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2458\", \"logical_representation\": [\"2011/07/28\", \"dinner\", \"chinese food\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had chinese food for dinner with Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/07/28?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for dinner on 2011/07/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2459\", \"logical_representation\": [\"2011/07/28\", \"Eva, Rylee, Nora\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Eva, Rylee, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Nora in the early evening on 2011/07/28?\", \"28 minutes\"], [\"who did I talk to on 2011/07/28?\", \"Eva, Rylee, Nora\"], [\"Did I talk to Eva, Rylee, Nora on 2011/07/28?\", \"yes\"], [\"Did I talk to anyone on 2011/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2460\", \"logical_representation\": [\"2011/07/28\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/07/28?\", \"22 minutes\"], [\"what did I read on 2011/07/28?\", \"a book\"], [\"Did I read on 2011/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2461\", \"logical_representation\": [\"2011/07/28\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I watched a tv series for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/28?\", \"6 minutes\"], [\"what did I watch on tv on 2011/07/28?\", \"a tv series\"], [\"Did I watch tv on 2011/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/30\": {\"lunch\": {\"eid\": \"e2466\", \"logical_representation\": [\"2011/07/30\", \"lunch\", \"steak\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/07/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2467\", \"logical_representation\": [\"2011/07/30\", \"dinner\", \"fish and chips\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/07/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2468\", \"logical_representation\": [\"2011/07/30\", \"Claire, Nevaeh, Lydia, Avery\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Claire, Nevaeh, Lydia, Avery for 29 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Lydia, Avery in the early evening on 2011/07/30?\", \"29 minutes\"], [\"who did I talk to on 2011/07/30?\", \"Claire, Nevaeh, Lydia, Avery\"], [\"Did I talk to Claire, Nevaeh, Lydia, Avery on 2011/07/30?\", \"yes\"], [\"Did I talk to anyone on 2011/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2469\", \"logical_representation\": [\"2011/07/30\", \"Layla, Avery, Nevaeh\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I talked to Layla, Avery, Nevaeh for 9 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Nevaeh in the morning on 2011/07/30?\", \"9 minutes\"], [\"who did I talk to on 2011/07/30?\", \"Layla, Avery, Nevaeh\"], [\"Did I talk to Layla, Avery, Nevaeh on 2011/07/30?\", \"yes\"], [\"Did I talk to anyone on 2011/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2470\", \"logical_representation\": [\"2011/07/30\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/07/30?\", \"37 minutes\"], [\"what did I read on 2011/07/30?\", \"social media\"], [\"Did I read on 2011/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2471\", \"logical_representation\": [\"2011/07/30\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/30?\", \"39 minutes\"], [\"what did I watch on tv on 2011/07/30?\", \"a tv series\"], [\"Did I watch tv on 2011/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/31\": {\"lunch\": {\"eid\": \"e2472\", \"logical_representation\": [\"2011/07/31\", \"lunch\", \"sandwich\", \"Olivia, Rylee, Nora, Eva, Piper, Lydia\"], \"text_template_based\": \"I had lunch with Olivia, Rylee, Nora, Eva, Piper, Lydia. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/07/31?\", \"Olivia, Rylee, Nora, Eva, Piper, Lydia\"], [\"what did I eat for lunch on 2011/07/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2473\", \"logical_representation\": [\"2011/07/31\", \"Kinsley, Nevaeh, Claire\", \"in the early evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Kinsley, Nevaeh, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Claire in the early evening on 2011/07/31?\", \"13 minutes\"], [\"who did I talk to on 2011/07/31?\", \"Kinsley, Nevaeh, Claire\"], [\"Did I talk to Kinsley, Nevaeh, Claire on 2011/07/31?\", \"yes\"], [\"Did I talk to anyone on 2011/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/02\": {\"lunch\": {\"eid\": \"e2479\", \"logical_representation\": [\"2011/08/02\", \"lunch\", \"pasta\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I had lunch with Jackson, Avery, Benjamin, Willow. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/08/02?\", \"Jackson, Avery, Benjamin, Willow\"], [\"what did I eat for lunch on 2011/08/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2480\", \"logical_representation\": [\"2011/08/02\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/08/02?\", \"26 minutes\"], [\"what did I read on 2011/08/02?\", \"a book\"], [\"Did I read on 2011/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2481\", \"logical_representation\": [\"2011/08/02\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/02?\", \"20 minutes\"], [\"what did I watch on tv on 2011/08/02?\", \"a documentary\"], [\"Did I watch tv on 2011/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/03\": {\"exercise\": {\"eid\": \"e2482\", \"logical_representation\": [\"2011/08/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/08/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2483\", \"logical_representation\": [\"2011/08/03\", \"lunch\", \"indian food\", \"Nora, Claire, Kinsley, Piper, Olivia, Hazel, Lydia, Eva, Nevaeh, Piper, Layla, Rylee, Avery\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/08/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2484\", \"logical_representation\": [\"2011/08/03\", \"Avery\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery during lunch hours on 2011/08/03?\", \"43 minutes\"], [\"who did I talk to on 2011/08/03?\", \"Avery\"], [\"Did I talk to Avery on 2011/08/03?\", \"yes\"], [\"Did I talk to anyone on 2011/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2485\", \"logical_representation\": [\"2011/08/03\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/08/03?\", \"6 minutes\"], [\"what did I read on 2011/08/03?\", \"social media\"], [\"Did I read on 2011/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/09\": {\"breakfast\": {\"eid\": \"e2506\", \"logical_representation\": [\"2011/08/09\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/09\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2507\", \"logical_representation\": [\"2011/08/09\", \"dinner\", \"a burger\", \"Eva, Layla, Piper, Rylee, Olivia, Nevaeh, Lydia, Hazel\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/08/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2508\", \"logical_representation\": [\"2011/08/09\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/08/09?\", \"27 minutes\"], [\"what did I read on 2011/08/09?\", \"news\"], [\"Did I read on 2011/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/10\": {\"breakfast\": {\"eid\": \"e2509\", \"logical_representation\": [\"2011/08/10\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/10\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2510\", \"logical_representation\": [\"2011/08/10\", \"dinner\", \"steak\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had steak for dinner with Carter, Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/10?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for dinner on 2011/08/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2511\", \"logical_representation\": [\"2011/08/10\", \"Eva, Lydia, Layla\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Eva, Lydia, Layla for 42 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Layla in the early evening on 2011/08/10?\", \"42 minutes\"], [\"who did I talk to on 2011/08/10?\", \"Eva, Lydia, Layla\"], [\"Did I talk to Eva, Lydia, Layla on 2011/08/10?\", \"yes\"], [\"Did I talk to anyone on 2011/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2512\", \"logical_representation\": [\"2011/08/10\", \"Hazel, Piper, Claire, Eva\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Claire, Eva for 49 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Claire, Eva late in the evening on 2011/08/10?\", \"49 minutes\"], [\"who did I talk to on 2011/08/10?\", \"Hazel, Piper, Claire, Eva\"], [\"Did I talk to Hazel, Piper, Claire, Eva on 2011/08/10?\", \"yes\"], [\"Did I talk to anyone on 2011/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/11\": {\"exercise\": {\"eid\": \"e2513\", \"logical_representation\": [\"2011/08/11\", \"running\"], \"text_template_based\": \"I did running on 2011/08/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2514\", \"logical_representation\": [\"2011/08/11\", \"dinner\", \"a burger\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/08/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2515\", \"logical_representation\": [\"2011/08/11\", \"Olivia, Avery\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Olivia, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery in the morning on 2011/08/11?\", \"30 minutes\"], [\"who did I talk to on 2011/08/11?\", \"Olivia, Avery\"], [\"Did I talk to Olivia, Avery on 2011/08/11?\", \"yes\"], [\"Did I talk to anyone on 2011/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2516\", \"logical_representation\": [\"2011/08/11\", \"Eva\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the late afternoon on 2011/08/11?\", \"23 minutes\"], [\"who did I talk to on 2011/08/11?\", \"Eva\"], [\"Did I talk to Eva on 2011/08/11?\", \"yes\"], [\"Did I talk to anyone on 2011/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2517\", \"logical_representation\": [\"2011/08/11\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/08/11?\", \"45 minutes\"], [\"what did I read on 2011/08/11?\", \"news\"], [\"Did I read on 2011/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2518\", \"logical_representation\": [\"2011/08/11\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I watched a tv series for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/11?\", \"13 minutes\"], [\"what did I watch on tv on 2011/08/11?\", \"a tv series\"], [\"Did I watch tv on 2011/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/13\": {\"exercise\": {\"eid\": \"e2523\", \"logical_representation\": [\"2011/08/13\", \"running\"], \"text_template_based\": \"I did running on 2011/08/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/13?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2524\", \"logical_representation\": [\"2011/08/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Lydia, Kinsley, Eva, Claire, Piper, Layla, Piper, Nora, Nevaeh, Olivia\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2011/08/14\": {\"exercise\": {\"eid\": \"e2525\", \"logical_representation\": [\"2011/08/14\", \"running\"], \"text_template_based\": \"I did running on 2011/08/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2526\", \"logical_representation\": [\"2011/08/14\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2527\", \"logical_representation\": [\"2011/08/14\", \"Lydia, Kinsley\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Lydia, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley late in the evening on 2011/08/14?\", \"6 minutes\"], [\"who did I talk to on 2011/08/14?\", \"Lydia, Kinsley\"], [\"Did I talk to Lydia, Kinsley on 2011/08/14?\", \"yes\"], [\"Did I talk to anyone on 2011/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2528\", \"logical_representation\": [\"2011/08/14\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/14?\", \"36 minutes\"], [\"what did I watch on tv on 2011/08/14?\", \"news\"], [\"Did I watch tv on 2011/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/16\": {\"dinner\": {\"eid\": \"e2532\", \"logical_representation\": [\"2011/08/16\", \"dinner\", \"sandwich\", \"Avery, Jackson\"], \"text_template_based\": \"I had sandwich for dinner with Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/16?\", \"Avery, Jackson\"], [\"what did I eat for dinner on 2011/08/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2533\", \"logical_representation\": [\"2011/08/16\", \"Hazel\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2011/08/16?\", \"32 minutes\"], [\"who did I talk to on 2011/08/16?\", \"Hazel\"], [\"Did I talk to Hazel on 2011/08/16?\", \"yes\"], [\"Did I talk to anyone on 2011/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2534\", \"logical_representation\": [\"2011/08/16\", \"a tv series\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/16?\", \"44 minutes\"], [\"what did I watch on tv on 2011/08/16?\", \"a tv series\"], [\"Did I watch tv on 2011/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/17\": {\"exercise\": {\"eid\": \"e2535\", \"logical_representation\": [\"2011/08/17\", \"running\"], \"text_template_based\": \"I did running on 2011/08/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2536\", \"logical_representation\": [\"2011/08/17\", \"lunch\", \"a burger\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/08/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2537\", \"logical_representation\": [\"2011/08/17\", \"dinner\", \"indian food\", \"Piper, Avery, Piper\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/08/17\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2011/08/18\": {\"dinner\": {\"eid\": \"e2538\", \"logical_representation\": [\"2011/08/18\", \"dinner\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I had pasta for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/18?\", \"Kayden\"], [\"what did I eat for dinner on 2011/08/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2539\", \"logical_representation\": [\"2011/08/18\", \"Nora, Eva, Olivia, Nevaeh\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Nora, Eva, Olivia, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Olivia, Nevaeh in the early afternoon on 2011/08/18?\", \"20 minutes\"], [\"who did I talk to on 2011/08/18?\", \"Nora, Eva, Olivia, Nevaeh\"], [\"Did I talk to Nora, Eva, Olivia, Nevaeh on 2011/08/18?\", \"yes\"], [\"Did I talk to anyone on 2011/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2540\", \"logical_representation\": [\"2011/08/18\", \"Claire, Nora\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Claire, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora in the late afternoon on 2011/08/18?\", \"13 minutes\"], [\"who did I talk to on 2011/08/18?\", \"Claire, Nora\"], [\"Did I talk to Claire, Nora on 2011/08/18?\", \"yes\"], [\"Did I talk to anyone on 2011/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/20\": {\"breakfast\": {\"eid\": \"e2543\", \"logical_representation\": [\"2011/08/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/08/20?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2011/08/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2544\", \"logical_representation\": [\"2011/08/20\", \"lunch\", \"tacos\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/08/20?\", \"Carter\"], [\"what did I eat for lunch on 2011/08/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2545\", \"logical_representation\": [\"2011/08/20\", \"dinner\", \"sandwich\", \"Nora, Lydia, Nevaeh, Avery, Layla, Hazel, Eva, Piper, Piper, Rylee\"], \"text_template_based\": \"I had dinner with Nora, Lydia, Nevaeh, Avery, Layla, Hazel, Eva, Piper, Piper, Rylee. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/20?\", \"Nora, Lydia, Nevaeh, Avery, Layla, Hazel, Eva, Piper, Piper, Rylee\"], [\"what did I eat for dinner on 2011/08/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2546\", \"logical_representation\": [\"2011/08/20\", \"Hazel\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2011/08/20?\", \"11 minutes\"], [\"who did I talk to on 2011/08/20?\", \"Hazel\"], [\"Did I talk to Hazel on 2011/08/20?\", \"yes\"], [\"Did I talk to anyone on 2011/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/21\": {\"exercise\": {\"eid\": \"e2547\", \"logical_representation\": [\"2011/08/21\", \"running\"], \"text_template_based\": \"I did running on 2011/08/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2548\", \"logical_representation\": [\"2011/08/21\", \"breakfast\", \"cereals\", \"Piper, Kinsley, Nora, Nevaeh, Piper, Olivia, Rylee, Hazel\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2549\", \"logical_representation\": [\"2011/08/21\", \"dinner\", \"steak\", \"Nora, Olivia, Claire, Rylee, Kinsley, Piper, Nevaeh, Lydia, Hazel, Layla, Avery, Piper\"], \"text_template_based\": \"I had dinner with Nora, Olivia, Claire, Rylee, Kinsley, Piper, Nevaeh, Lydia, Hazel, Layla, Avery, Piper. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/21?\", \"Nora, Olivia, Claire, Rylee, Kinsley, Piper, Nevaeh, Lydia, Hazel, Layla, Avery, Piper\"], [\"what did I eat for dinner on 2011/08/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2550\", \"logical_representation\": [\"2011/08/21\", \"Lydia, Rylee\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee for 52 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee in the morning on 2011/08/21?\", \"52 minutes\"], [\"who did I talk to on 2011/08/21?\", \"Lydia, Rylee\"], [\"Did I talk to Lydia, Rylee on 2011/08/21?\", \"yes\"], [\"Did I talk to anyone on 2011/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2551\", \"logical_representation\": [\"2011/08/21\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/08/21?\", \"17 minutes\"], [\"what did I read on 2011/08/21?\", \"a book\"], [\"Did I read on 2011/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/22\": {\"exercise\": {\"eid\": \"e2552\", \"logical_representation\": [\"2011/08/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/08/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2553\", \"logical_representation\": [\"2011/08/22\", \"breakfast\", \"oatmeal\", \"Olivia, Nora, Piper, Layla, Claire, Lydia, Hazel\"], \"text_template_based\": \"I had oatmeal for breakfast with Olivia, Nora, Piper, Layla, Claire, Lydia, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/08/22?\", \"Olivia, Nora, Piper, Layla, Claire, Lydia, Hazel\"], [\"what did I eat for breakfast on 2011/08/22\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2554\", \"logical_representation\": [\"2011/08/22\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/08/22?\", \"20 minutes\"], [\"what did I read on 2011/08/22?\", \"a book\"], [\"Did I read on 2011/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/24\": {\"breakfast\": {\"eid\": \"e2559\", \"logical_representation\": [\"2011/08/24\", \"breakfast\", \"toast and cheese\", \"Kinsley, Rylee, Claire, Piper, Nora\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2560\", \"logical_representation\": [\"2011/08/24\", \"Layla, Piper, Nevaeh, Hazel\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Layla, Piper, Nevaeh, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Nevaeh, Hazel late in the evening on 2011/08/24?\", \"45 minutes\"], [\"who did I talk to on 2011/08/24?\", \"Layla, Piper, Nevaeh, Hazel\"], [\"Did I talk to Layla, Piper, Nevaeh, Hazel on 2011/08/24?\", \"yes\"], [\"Did I talk to anyone on 2011/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2561\", \"logical_representation\": [\"2011/08/24\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/08/24?\", \"24 minutes\"], [\"what did I read on 2011/08/24?\", \"a book\"], [\"Did I read on 2011/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2562\", \"logical_representation\": [\"2011/08/24\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I watched a movie for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/24?\", \"32 minutes\"], [\"what did I watch on tv on 2011/08/24?\", \"a movie\"], [\"Did I watch tv on 2011/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/25\": {\"breakfast\": {\"eid\": \"e2563\", \"logical_representation\": [\"2011/08/25\", \"breakfast\", \"toast and cheese\", \"Avery, Willow\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2564\", \"logical_representation\": [\"2011/08/25\", \"dinner\", \"fish and chips\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had fish and chips for dinner with Andrew, Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/25?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2011/08/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2011/08/26\": {\"exercise\": {\"eid\": \"e2565\", \"logical_representation\": [\"2011/08/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/08/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2566\", \"logical_representation\": [\"2011/08/26\", \"lunch\", \"steak\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/08/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2567\", \"logical_representation\": [\"2011/08/26\", \"dinner\", \"tacos\", \"Emily, Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/08/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2568\", \"logical_representation\": [\"2011/08/26\", \"Claire, Eva\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Claire, Eva for 34 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva in the late afternoon on 2011/08/26?\", \"34 minutes\"], [\"who did I talk to on 2011/08/26?\", \"Claire, Eva\"], [\"Did I talk to Claire, Eva on 2011/08/26?\", \"yes\"], [\"Did I talk to anyone on 2011/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2569\", \"logical_representation\": [\"2011/08/26\", \"Kinsley\", \"late in the evening\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2011/08/26?\", \"50 minutes\"], [\"who did I talk to on 2011/08/26?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2011/08/26?\", \"yes\"], [\"Did I talk to anyone on 2011/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2570\", \"logical_representation\": [\"2011/08/26\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/26?\", \"47 minutes\"], [\"what did I watch on tv on 2011/08/26?\", \"a documentary\"], [\"Did I watch tv on 2011/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/27\": {\"breakfast\": {\"eid\": \"e2571\", \"logical_representation\": [\"2011/08/27\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2572\", \"logical_representation\": [\"2011/08/27\", \"lunch\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/08/27?\", \"Kayden\"], [\"what did I eat for lunch on 2011/08/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2573\", \"logical_representation\": [\"2011/08/27\", \"dinner\", \"sushi\", \"Rylee, Piper, Lydia, Hazel, Layla, Olivia\"], \"text_template_based\": \"I had sushi for dinner with Rylee, Piper, Lydia, Hazel, Layla, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/27?\", \"Rylee, Piper, Lydia, Hazel, Layla, Olivia\"], [\"what did I eat for dinner on 2011/08/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2574\", \"logical_representation\": [\"2011/08/27\", \"news\", \"55 minutes\"], \"text_template_based\": \"I watched news for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/27?\", \"55 minutes\"], [\"what did I watch on tv on 2011/08/27?\", \"news\"], [\"Did I watch tv on 2011/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/28\": {\"read\": {\"eid\": \"e2575\", \"logical_representation\": [\"2011/08/28\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/08/28?\", \"20 minutes\"], [\"what did I read on 2011/08/28?\", \"news\"], [\"Did I read on 2011/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2576\", \"logical_representation\": [\"2011/08/28\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I watched a tv series for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/28?\", \"24 minutes\"], [\"what did I watch on tv on 2011/08/28?\", \"a tv series\"], [\"Did I watch tv on 2011/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/29\": {\"exercise\": {\"eid\": \"e2577\", \"logical_representation\": [\"2011/08/29\", \"biking\"], \"text_template_based\": \"I did biking on 2011/08/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/29?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2578\", \"logical_representation\": [\"2011/08/29\", \"dinner\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/29?\", \"Andrew\"], [\"what did I eat for dinner on 2011/08/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2579\", \"logical_representation\": [\"2011/08/29\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/08/29?\", \"39 minutes\"], [\"what did I read on 2011/08/29?\", \"social media\"], [\"Did I read on 2011/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2580\", \"logical_representation\": [\"2011/08/29\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/29?\", \"10 minutes\"], [\"what did I watch on tv on 2011/08/29?\", \"a documentary\"], [\"Did I watch tv on 2011/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/30\": {\"breakfast\": {\"eid\": \"e2581\", \"logical_representation\": [\"2011/08/30\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2582\", \"logical_representation\": [\"2011/08/30\", \"lunch\", \"fish and chips\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I had fish and chips for lunch with Willow, Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/08/30?\", \"Willow, Avery, Benjamin\"], [\"what did I eat for lunch on 2011/08/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2583\", \"logical_representation\": [\"2011/08/30\", \"dinner\", \"chinese food\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had chinese food for dinner with Willow, Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/30?\", \"Willow, Benjamin, Jackson\"], [\"what did I eat for dinner on 2011/08/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2584\", \"logical_representation\": [\"2011/08/30\", \"Piper, Nevaeh, Layla, Kinsley\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Layla, Kinsley for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Layla, Kinsley in the morning on 2011/08/30?\", \"32 minutes\"], [\"who did I talk to on 2011/08/30?\", \"Piper, Nevaeh, Layla, Kinsley\"], [\"Did I talk to Piper, Nevaeh, Layla, Kinsley on 2011/08/30?\", \"yes\"], [\"Did I talk to anyone on 2011/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2585\", \"logical_representation\": [\"2011/08/30\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/08/30?\", \"30 minutes\"], [\"what did I read on 2011/08/30?\", \"news\"], [\"Did I read on 2011/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/01\": {\"breakfast\": {\"eid\": \"e2591\", \"logical_representation\": [\"2011/09/01\", \"breakfast\", \"peanut-butter-jam\", \"Avery\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2592\", \"logical_representation\": [\"2011/09/01\", \"Lydia, Nevaeh\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Lydia, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh late in the evening on 2011/09/01?\", \"10 minutes\"], [\"who did I talk to on 2011/09/01?\", \"Lydia, Nevaeh\"], [\"Did I talk to Lydia, Nevaeh on 2011/09/01?\", \"yes\"], [\"Did I talk to anyone on 2011/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2593\", \"logical_representation\": [\"2011/09/01\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/09/01?\", \"26 minutes\"], [\"what did I read on 2011/09/01?\", \"a book\"], [\"Did I read on 2011/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2594\", \"logical_representation\": [\"2011/09/01\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/01?\", \"29 minutes\"], [\"what did I watch on tv on 2011/09/01?\", \"a movie\"], [\"Did I watch tv on 2011/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/02\": {\"lunch\": {\"eid\": \"e2595\", \"logical_representation\": [\"2011/09/02\", \"lunch\", \"fish and chips\", \"Jackson\"], \"text_template_based\": \"I had fish and chips for lunch with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/09/02?\", \"Jackson\"], [\"what did I eat for lunch on 2011/09/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2596\", \"logical_representation\": [\"2011/09/02\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/09/02?\", \"46 minutes\"], [\"what did I read on 2011/09/02?\", \"a book\"], [\"Did I read on 2011/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/03\": {\"breakfast\": {\"eid\": \"e2597\", \"logical_representation\": [\"2011/09/03\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Nevaeh, Lydia, Olivia, Avery, Nora, Piper, Kinsley, Rylee, Hazel, Eva\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/03\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2598\", \"logical_representation\": [\"2011/09/03\", \"lunch\", \"a burger\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2599\", \"logical_representation\": [\"2011/09/03\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had tacos for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/09/03?\", \"Andrew\"], [\"what did I eat for dinner on 2011/09/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2600\", \"logical_representation\": [\"2011/09/03\", \"Piper, Nevaeh, Rylee\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Rylee for 14 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Rylee in the early evening on 2011/09/03?\", \"14 minutes\"], [\"who did I talk to on 2011/09/03?\", \"Piper, Nevaeh, Rylee\"], [\"Did I talk to Piper, Nevaeh, Rylee on 2011/09/03?\", \"yes\"], [\"Did I talk to anyone on 2011/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2601\", \"logical_representation\": [\"2011/09/03\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/09/03?\", \"44 minutes\"], [\"what did I read on 2011/09/03?\", \"social media\"], [\"Did I read on 2011/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2602\", \"logical_representation\": [\"2011/09/03\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/03?\", \"12 minutes\"], [\"what did I watch on tv on 2011/09/03?\", \"news\"], [\"Did I watch tv on 2011/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/05\": {\"lunch\": {\"eid\": \"e2606\", \"logical_representation\": [\"2011/09/05\", \"lunch\", \"a burger\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2607\", \"logical_representation\": [\"2011/09/05\", \"dinner\", \"steak\", \"Kayden\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/09/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2608\", \"logical_representation\": [\"2011/09/05\", \"Olivia, Piper, Piper, Nevaeh\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Piper, Nevaeh for 25 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Piper, Nevaeh during lunch hours on 2011/09/05?\", \"25 minutes\"], [\"who did I talk to on 2011/09/05?\", \"Olivia, Piper, Piper, Nevaeh\"], [\"Did I talk to Olivia, Piper, Piper, Nevaeh on 2011/09/05?\", \"yes\"], [\"Did I talk to anyone on 2011/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2609\", \"logical_representation\": [\"2011/09/05\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/09/05?\", \"25 minutes\"], [\"what did I read on 2011/09/05?\", \"social media\"], [\"Did I read on 2011/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/06\": {\"exercise\": {\"eid\": \"e2610\", \"logical_representation\": [\"2011/09/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/09/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2611\", \"logical_representation\": [\"2011/09/06\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/06?\", \"11 minutes\"], [\"what did I watch on tv on 2011/09/06?\", \"a tv series\"], [\"Did I watch tv on 2011/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/08\": {\"breakfast\": {\"eid\": \"e2616\", \"logical_representation\": [\"2011/09/08\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Andrew, Kayden, Carter. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/09/08?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2011/09/08\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2617\", \"logical_representation\": [\"2011/09/08\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/09/08?\", \"50 minutes\"], [\"what did I read on 2011/09/08?\", \"news\"], [\"Did I read on 2011/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2618\", \"logical_representation\": [\"2011/09/08\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/08?\", \"26 minutes\"], [\"what did I watch on tv on 2011/09/08?\", \"a tv series\"], [\"Did I watch tv on 2011/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/09\": {\"breakfast\": {\"eid\": \"e2619\", \"logical_representation\": [\"2011/09/09\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2620\", \"logical_representation\": [\"2011/09/09\", \"lunch\", \"sandwich\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2621\", \"logical_representation\": [\"2011/09/09\", \"dinner\", \"sushi\", \"Benjamin\"], \"text_template_based\": \"I had sushi for dinner with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/09/09?\", \"Benjamin\"], [\"what did I eat for dinner on 2011/09/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2622\", \"logical_representation\": [\"2011/09/09\", \"Nora, Nevaeh, Olivia, Hazel\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Nora, Nevaeh, Olivia, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Olivia, Hazel during lunch hours on 2011/09/09?\", \"6 minutes\"], [\"who did I talk to on 2011/09/09?\", \"Nora, Nevaeh, Olivia, Hazel\"], [\"Did I talk to Nora, Nevaeh, Olivia, Hazel on 2011/09/09?\", \"yes\"], [\"Did I talk to anyone on 2011/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2623\", \"logical_representation\": [\"2011/09/09\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/09/09?\", \"42 minutes\"], [\"what did I read on 2011/09/09?\", \"a book\"], [\"Did I read on 2011/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2624\", \"logical_representation\": [\"2011/09/09\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I watched a movie for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/09?\", \"26 minutes\"], [\"what did I watch on tv on 2011/09/09?\", \"a movie\"], [\"Did I watch tv on 2011/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/11\": {\"breakfast\": {\"eid\": \"e2631\", \"logical_representation\": [\"2011/09/11\", \"breakfast\", \"cereals\", \"Kinsley, Piper\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/11\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2632\", \"logical_representation\": [\"2011/09/11\", \"lunch\", \"sushi\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2633\", \"logical_representation\": [\"2011/09/11\", \"dinner\", \"indian food\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had dinner with Jackson, Benjamin, Avery, Willow. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/09/11?\", \"Jackson, Benjamin, Avery, Willow\"], [\"what did I eat for dinner on 2011/09/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2634\", \"logical_representation\": [\"2011/09/11\", \"Nevaeh, Lydia, Nora, Claire\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia, Nora, Claire for 44 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Nora, Claire in the early afternoon on 2011/09/11?\", \"44 minutes\"], [\"who did I talk to on 2011/09/11?\", \"Nevaeh, Lydia, Nora, Claire\"], [\"Did I talk to Nevaeh, Lydia, Nora, Claire on 2011/09/11?\", \"yes\"], [\"Did I talk to anyone on 2011/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2635\", \"logical_representation\": [\"2011/09/11\", \"Nora, Claire, Nevaeh\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Nora, Claire, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Nevaeh in the late afternoon on 2011/09/11?\", \"13 minutes\"], [\"who did I talk to on 2011/09/11?\", \"Nora, Claire, Nevaeh\"], [\"Did I talk to Nora, Claire, Nevaeh on 2011/09/11?\", \"yes\"], [\"Did I talk to anyone on 2011/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2636\", \"logical_representation\": [\"2011/09/11\", \"a tv series\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/11?\", \"25 minutes\"], [\"what did I watch on tv on 2011/09/11?\", \"a tv series\"], [\"Did I watch tv on 2011/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/12\": {\"exercise\": {\"eid\": \"e2637\", \"logical_representation\": [\"2011/09/12\", \"biking\"], \"text_template_based\": \"I did biking on 2011/09/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/12?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2638\", \"logical_representation\": [\"2011/09/12\", \"Eva\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Eva for 6 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2011/09/12?\", \"6 minutes\"], [\"who did I talk to on 2011/09/12?\", \"Eva\"], [\"Did I talk to Eva on 2011/09/12?\", \"yes\"], [\"Did I talk to anyone on 2011/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/13\": {\"exercise\": {\"eid\": \"e2639\", \"logical_representation\": [\"2011/09/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/09/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2640\", \"logical_representation\": [\"2011/09/13\", \"lunch\", \"pasta\", \"Nevaeh, Rylee\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2641\", \"logical_representation\": [\"2011/09/13\", \"dinner\", \"steak\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/09/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2642\", \"logical_representation\": [\"2011/09/13\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/13?\", \"7 minutes\"], [\"what did I watch on tv on 2011/09/13?\", \"news\"], [\"Did I watch tv on 2011/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/14\": {\"breakfast\": {\"eid\": \"e2643\", \"logical_representation\": [\"2011/09/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/09/14?\", \"Andrew\"], [\"what did I eat for breakfast on 2011/09/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2644\", \"logical_representation\": [\"2011/09/14\", \"lunch\", \"sushi\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2645\", \"logical_representation\": [\"2011/09/14\", \"dinner\", \"tacos\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had tacos for dinner with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/09/14?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2011/09/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2646\", \"logical_representation\": [\"2011/09/14\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/09/14?\", \"35 minutes\"], [\"what did I read on 2011/09/14?\", \"news\"], [\"Did I read on 2011/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2647\", \"logical_representation\": [\"2011/09/14\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I watched a movie for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/14?\", \"36 minutes\"], [\"what did I watch on tv on 2011/09/14?\", \"a movie\"], [\"Did I watch tv on 2011/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/15\": {\"exercise\": {\"eid\": \"e2648\", \"logical_representation\": [\"2011/09/15\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/15?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2649\", \"logical_representation\": [\"2011/09/15\", \"lunch\", \"sushi\", \"Emily, Kayden\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2650\", \"logical_representation\": [\"2011/09/15\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/09/15?\", \"10 minutes\"], [\"what did I read on 2011/09/15?\", \"a book\"], [\"Did I read on 2011/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/16\": {\"exercise\": {\"eid\": \"e2651\", \"logical_representation\": [\"2011/09/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2652\", \"logical_representation\": [\"2011/09/16\", \"lunch\", \"sushi\", \"Eva, Piper, Piper, Rylee, Kinsley, Lydia, Layla, Nora\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2653\", \"logical_representation\": [\"2011/09/16\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/09/16?\", \"25 minutes\"], [\"what did I read on 2011/09/16?\", \"a book\"], [\"Did I read on 2011/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2654\", \"logical_representation\": [\"2011/09/16\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I watched a movie for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/16?\", \"43 minutes\"], [\"what did I watch on tv on 2011/09/16?\", \"a movie\"], [\"Did I watch tv on 2011/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/17\": {\"exercise\": {\"eid\": \"e2655\", \"logical_representation\": [\"2011/09/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/09/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2656\", \"logical_representation\": [\"2011/09/17\", \"dinner\", \"pasta\", \"Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/09/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2657\", \"logical_representation\": [\"2011/09/17\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I watched a documentary for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/17?\", \"53 minutes\"], [\"what did I watch on tv on 2011/09/17?\", \"a documentary\"], [\"Did I watch tv on 2011/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/18\": {\"exercise\": {\"eid\": \"e2658\", \"logical_representation\": [\"2011/09/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/09/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2659\", \"logical_representation\": [\"2011/09/18\", \"lunch\", \"a burger\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2660\", \"logical_representation\": [\"2011/09/18\", \"dinner\", \"indian food\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I had dinner with Jackson, Willow, Avery, Benjamin. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/09/18?\", \"Jackson, Willow, Avery, Benjamin\"], [\"what did I eat for dinner on 2011/09/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2661\", \"logical_representation\": [\"2011/09/18\", \"Rylee, Layla\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I talked to Rylee, Layla for 47 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla during lunch hours on 2011/09/18?\", \"47 minutes\"], [\"who did I talk to on 2011/09/18?\", \"Rylee, Layla\"], [\"Did I talk to Rylee, Layla on 2011/09/18?\", \"yes\"], [\"Did I talk to anyone on 2011/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/19\": {\"exercise\": {\"eid\": \"e2662\", \"logical_representation\": [\"2011/09/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/09/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2663\", \"logical_representation\": [\"2011/09/19\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/09/19?\", \"Emily\"], [\"what did I eat for breakfast on 2011/09/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2011/09/20\": {\"lunch\": {\"eid\": \"e2664\", \"logical_representation\": [\"2011/09/20\", \"lunch\", \"chinese food\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2665\", \"logical_representation\": [\"2011/09/20\", \"dinner\", \"indian food\", \"Nevaeh, Olivia, Eva, Nora\"], \"text_template_based\": \"I had indian food for dinner with Nevaeh, Olivia, Eva, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/09/20?\", \"Nevaeh, Olivia, Eva, Nora\"], [\"what did I eat for dinner on 2011/09/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2666\", \"logical_representation\": [\"2011/09/20\", \"Eva, Nora, Piper\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I talked to Eva, Nora, Piper for 26 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Piper in the morning on 2011/09/20?\", \"26 minutes\"], [\"who did I talk to on 2011/09/20?\", \"Eva, Nora, Piper\"], [\"Did I talk to Eva, Nora, Piper on 2011/09/20?\", \"yes\"], [\"Did I talk to anyone on 2011/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2667\", \"logical_representation\": [\"2011/09/20\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/09/20?\", \"40 minutes\"], [\"what did I read on 2011/09/20?\", \"news\"], [\"Did I read on 2011/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2668\", \"logical_representation\": [\"2011/09/20\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I watched a documentary for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/20?\", \"36 minutes\"], [\"what did I watch on tv on 2011/09/20?\", \"a documentary\"], [\"Did I watch tv on 2011/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/21\": {\"breakfast\": {\"eid\": \"e2669\", \"logical_representation\": [\"2011/09/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Hazel, Kinsley, Olivia, Nevaeh, Piper, Lydia, Rylee, Eva, Piper, Avery, Nora, Layla\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2670\", \"logical_representation\": [\"2011/09/21\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/09/21?\", \"29 minutes\"], [\"what did I read on 2011/09/21?\", \"social media\"], [\"Did I read on 2011/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/22\": {\"exercise\": {\"eid\": \"e2671\", \"logical_representation\": [\"2011/09/22\", \"running\"], \"text_template_based\": \"I did running on 2011/09/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2672\", \"logical_representation\": [\"2011/09/22\", \"lunch\", \"tacos\", \"Kinsley, Layla, Piper\"], \"text_template_based\": \"I had tacos for lunch with Kinsley, Layla, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/09/22?\", \"Kinsley, Layla, Piper\"], [\"what did I eat for lunch on 2011/09/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2673\", \"logical_representation\": [\"2011/09/22\", \"Rylee\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Rylee for 45 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee late in the evening on 2011/09/22?\", \"45 minutes\"], [\"who did I talk to on 2011/09/22?\", \"Rylee\"], [\"Did I talk to Rylee on 2011/09/22?\", \"yes\"], [\"Did I talk to anyone on 2011/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2674\", \"logical_representation\": [\"2011/09/22\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I watched a documentary for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/22?\", \"13 minutes\"], [\"what did I watch on tv on 2011/09/22?\", \"a documentary\"], [\"Did I watch tv on 2011/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/23\": {\"exercise\": {\"eid\": \"e2675\", \"logical_representation\": [\"2011/09/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/09/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2676\", \"logical_representation\": [\"2011/09/23\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Claire, Piper, Rylee, Avery, Nevaeh, Piper, Lydia, Layla, Olivia, Eva, Nora\"], \"text_template_based\": \"I had breakfast with Kinsley, Claire, Piper, Rylee, Avery, Nevaeh, Piper, Lydia, Layla, Olivia, Eva, Nora. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/09/23?\", \"Kinsley, Claire, Piper, Rylee, Avery, Nevaeh, Piper, Lydia, Layla, Olivia, Eva, Nora\"], [\"what did I eat for breakfast on 2011/09/23\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2677\", \"logical_representation\": [\"2011/09/23\", \"Avery, Piper, Piper, Kinsley\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Piper, Kinsley for 23 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Piper, Kinsley in the late afternoon on 2011/09/23?\", \"23 minutes\"], [\"who did I talk to on 2011/09/23?\", \"Avery, Piper, Piper, Kinsley\"], [\"Did I talk to Avery, Piper, Piper, Kinsley on 2011/09/23?\", \"yes\"], [\"Did I talk to anyone on 2011/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2678\", \"logical_representation\": [\"2011/09/23\", \"news\", \"7 minutes\"], \"text_template_based\": \"I watched news for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/23?\", \"7 minutes\"], [\"what did I watch on tv on 2011/09/23?\", \"news\"], [\"Did I watch tv on 2011/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/24\": {\"exercise\": {\"eid\": \"e2679\", \"logical_representation\": [\"2011/09/24\", \"running\"], \"text_template_based\": \"I did running on 2011/09/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/24?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2680\", \"logical_representation\": [\"2011/09/24\", \"breakfast\", \"pancakes\", \"Kayden\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2681\", \"logical_representation\": [\"2011/09/24\", \"lunch\", \"sushi\", \"Nora, Nevaeh, Kinsley, Rylee, Eva, Avery, Hazel\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2682\", \"logical_representation\": [\"2011/09/24\", \"dinner\", \"pasta\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/09/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2683\", \"logical_representation\": [\"2011/09/24\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/09/24?\", \"33 minutes\"], [\"what did I read on 2011/09/24?\", \"social media\"], [\"Did I read on 2011/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/25\": {\"exercise\": {\"eid\": \"e2684\", \"logical_representation\": [\"2011/09/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/09/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2685\", \"logical_representation\": [\"2011/09/25\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/25\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2686\", \"logical_representation\": [\"2011/09/25\", \"lunch\", \"pasta\", \"Kinsley, Lydia, Claire, Nora, Piper\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2687\", \"logical_representation\": [\"2011/09/25\", \"Piper\", \"during lunch hours\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2011/09/25?\", \"50 minutes\"], [\"who did I talk to on 2011/09/25?\", \"Piper\"], [\"Did I talk to Piper on 2011/09/25?\", \"yes\"], [\"Did I talk to anyone on 2011/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2688\", \"logical_representation\": [\"2011/09/25\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/09/25?\", \"49 minutes\"], [\"what did I read on 2011/09/25?\", \"social media\"], [\"Did I read on 2011/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2689\", \"logical_representation\": [\"2011/09/25\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/25?\", \"12 minutes\"], [\"what did I watch on tv on 2011/09/25?\", \"a tv series\"], [\"Did I watch tv on 2011/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/26\": {\"breakfast\": {\"eid\": \"e2690\", \"logical_representation\": [\"2011/09/26\", \"breakfast\", \"oatmeal\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2691\", \"logical_representation\": [\"2011/09/26\", \"lunch\", \"a burger\", \"Kayden, Emily\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2692\", \"logical_representation\": [\"2011/09/26\", \"dinner\", \"indian food\", \"Lydia, Claire\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/09/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2693\", \"logical_representation\": [\"2011/09/26\", \"Eva\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I talked to Eva for 37 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the morning on 2011/09/26?\", \"37 minutes\"], [\"who did I talk to on 2011/09/26?\", \"Eva\"], [\"Did I talk to Eva on 2011/09/26?\", \"yes\"], [\"Did I talk to anyone on 2011/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2694\", \"logical_representation\": [\"2011/09/26\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/26?\", \"23 minutes\"], [\"what did I watch on tv on 2011/09/26?\", \"a tv series\"], [\"Did I watch tv on 2011/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/27\": {\"breakfast\": {\"eid\": \"e2695\", \"logical_representation\": [\"2011/09/27\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2696\", \"logical_representation\": [\"2011/09/27\", \"lunch\", \"indian food\", \"Eva\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2697\", \"logical_representation\": [\"2011/09/27\", \"news\", \"46 minutes\"], \"text_template_based\": \"I watched news for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/27?\", \"46 minutes\"], [\"what did I watch on tv on 2011/09/27?\", \"news\"], [\"Did I watch tv on 2011/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/28\": {\"exercise\": {\"eid\": \"e2698\", \"logical_representation\": [\"2011/09/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/09/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2699\", \"logical_representation\": [\"2011/09/28\", \"dinner\", \"a burger\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Andrew. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/09/28?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2011/09/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2700\", \"logical_representation\": [\"2011/09/28\", \"Lydia, Piper, Rylee\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Rylee for 46 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Rylee in the late afternoon on 2011/09/28?\", \"46 minutes\"], [\"who did I talk to on 2011/09/28?\", \"Lydia, Piper, Rylee\"], [\"Did I talk to Lydia, Piper, Rylee on 2011/09/28?\", \"yes\"], [\"Did I talk to anyone on 2011/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2701\", \"logical_representation\": [\"2011/09/28\", \"news\", \"11 minutes\"], \"text_template_based\": \"I watched news for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/28?\", \"11 minutes\"], [\"what did I watch on tv on 2011/09/28?\", \"news\"], [\"Did I watch tv on 2011/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/01\": {\"chat1\": {\"eid\": \"e2708\", \"logical_representation\": [\"2011/10/01\", \"Layla, Olivia\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Layla, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia in the early afternoon on 2011/10/01?\", \"36 minutes\"], [\"who did I talk to on 2011/10/01?\", \"Layla, Olivia\"], [\"Did I talk to Layla, Olivia on 2011/10/01?\", \"yes\"], [\"Did I talk to anyone on 2011/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2709\", \"logical_representation\": [\"2011/10/01\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/10/01?\", \"47 minutes\"], [\"what did I read on 2011/10/01?\", \"a book\"], [\"Did I read on 2011/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2710\", \"logical_representation\": [\"2011/10/01\", \"news\", \"16 minutes\"], \"text_template_based\": \"I watched news for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/01?\", \"16 minutes\"], [\"what did I watch on tv on 2011/10/01?\", \"news\"], [\"Did I watch tv on 2011/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/02\": {\"exercise\": {\"eid\": \"e2711\", \"logical_representation\": [\"2011/10/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/10/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2712\", \"logical_representation\": [\"2011/10/02\", \"breakfast\", \"toast and cheese\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2713\", \"logical_representation\": [\"2011/10/02\", \"dinner\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had steak for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/10/02?\", \"Kayden\"], [\"what did I eat for dinner on 2011/10/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2714\", \"logical_representation\": [\"2011/10/02\", \"Layla\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2011/10/02?\", \"53 minutes\"], [\"who did I talk to on 2011/10/02?\", \"Layla\"], [\"Did I talk to Layla on 2011/10/02?\", \"yes\"], [\"Did I talk to anyone on 2011/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2715\", \"logical_representation\": [\"2011/10/02\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/10/02?\", \"11 minutes\"], [\"what did I read on 2011/10/02?\", \"a book\"], [\"Did I read on 2011/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/03\": {\"lunch\": {\"eid\": \"e2716\", \"logical_representation\": [\"2011/10/03\", \"lunch\", \"tacos\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2717\", \"logical_representation\": [\"2011/10/03\", \"Olivia, Piper, Piper\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Piper for 48 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Piper in the early evening on 2011/10/03?\", \"48 minutes\"], [\"who did I talk to on 2011/10/03?\", \"Olivia, Piper, Piper\"], [\"Did I talk to Olivia, Piper, Piper on 2011/10/03?\", \"yes\"], [\"Did I talk to anyone on 2011/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2718\", \"logical_representation\": [\"2011/10/03\", \"Claire, Nora, Olivia, Piper\", \"late in the evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Claire, Nora, Olivia, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Olivia, Piper late in the evening on 2011/10/03?\", \"7 minutes\"], [\"who did I talk to on 2011/10/03?\", \"Claire, Nora, Olivia, Piper\"], [\"Did I talk to Claire, Nora, Olivia, Piper on 2011/10/03?\", \"yes\"], [\"Did I talk to anyone on 2011/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/04\": {\"exercise\": {\"eid\": \"e2719\", \"logical_representation\": [\"2011/10/04\", \"biking\"], \"text_template_based\": \"I did biking on 2011/10/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2720\", \"logical_representation\": [\"2011/10/04\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Piper, Claire, Eva, Layla, Nora, Rylee\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Piper, Piper, Claire, Eva, Layla, Nora, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/10/04?\", \"Piper, Piper, Claire, Eva, Layla, Nora, Rylee\"], [\"what did I eat for breakfast on 2011/10/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2721\", \"logical_representation\": [\"2011/10/04\", \"lunch\", \"indian food\", \"Avery, Layla, Claire, Lydia, Kinsley, Rylee, Piper, Piper, Eva, Nevaeh, Olivia, Hazel, Nora\"], \"text_template_based\": \"I had indian food for lunch with Avery, Layla, Claire, Lydia, Kinsley, Rylee, Piper, Piper, Eva, Nevaeh, Olivia, Hazel, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/10/04?\", \"Avery, Layla, Claire, Lydia, Kinsley, Rylee, Piper, Piper, Eva, Nevaeh, Olivia, Hazel, Nora\"], [\"what did I eat for lunch on 2011/10/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2722\", \"logical_representation\": [\"2011/10/04\", \"Claire\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Claire for 53 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2011/10/04?\", \"53 minutes\"], [\"who did I talk to on 2011/10/04?\", \"Claire\"], [\"Did I talk to Claire on 2011/10/04?\", \"yes\"], [\"Did I talk to anyone on 2011/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/05\": {\"breakfast\": {\"eid\": \"e2723\", \"logical_representation\": [\"2011/10/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2724\", \"logical_representation\": [\"2011/10/05\", \"lunch\", \"sushi\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had sushi for lunch with Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/10/05?\", \"Jackson, Benjamin\"], [\"what did I eat for lunch on 2011/10/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2725\", \"logical_representation\": [\"2011/10/05\", \"dinner\", \"a burger\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/10/05?\", \"Carter\"], [\"what did I eat for dinner on 2011/10/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2726\", \"logical_representation\": [\"2011/10/05\", \"Nora, Nevaeh, Eva, Kinsley\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I talked to Nora, Nevaeh, Eva, Kinsley for 46 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Eva, Kinsley in the morning on 2011/10/05?\", \"46 minutes\"], [\"who did I talk to on 2011/10/05?\", \"Nora, Nevaeh, Eva, Kinsley\"], [\"Did I talk to Nora, Nevaeh, Eva, Kinsley on 2011/10/05?\", \"yes\"], [\"Did I talk to anyone on 2011/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/07\": {\"breakfast\": {\"eid\": \"e2732\", \"logical_representation\": [\"2011/10/07\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Rylee, Claire, Piper, Piper, Avery, Hazel, Kinsley, Layla, Nora\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2733\", \"logical_representation\": [\"2011/10/07\", \"lunch\", \"indian food\", \"Willow, Jackson\"], \"text_template_based\": \"I had indian food for lunch with Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/10/07?\", \"Willow, Jackson\"], [\"what did I eat for lunch on 2011/10/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2734\", \"logical_representation\": [\"2011/10/07\", \"dinner\", \"chinese food\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/10/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2735\", \"logical_representation\": [\"2011/10/07\", \"Layla, Kinsley, Eva\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I talked to Layla, Kinsley, Eva for 54 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Eva during lunch hours on 2011/10/07?\", \"54 minutes\"], [\"who did I talk to on 2011/10/07?\", \"Layla, Kinsley, Eva\"], [\"Did I talk to Layla, Kinsley, Eva on 2011/10/07?\", \"yes\"], [\"Did I talk to anyone on 2011/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2736\", \"logical_representation\": [\"2011/10/07\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/10/07?\", \"45 minutes\"], [\"what did I read on 2011/10/07?\", \"news\"], [\"Did I read on 2011/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2737\", \"logical_representation\": [\"2011/10/07\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/07?\", \"54 minutes\"], [\"what did I watch on tv on 2011/10/07?\", \"news\"], [\"Did I watch tv on 2011/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/08\": {\"breakfast\": {\"eid\": \"e2738\", \"logical_representation\": [\"2011/10/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2739\", \"logical_representation\": [\"2011/10/08\", \"Rylee, Eva, Hazel, Kinsley\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Rylee, Eva, Hazel, Kinsley for 43 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Hazel, Kinsley in the late afternoon on 2011/10/08?\", \"43 minutes\"], [\"who did I talk to on 2011/10/08?\", \"Rylee, Eva, Hazel, Kinsley\"], [\"Did I talk to Rylee, Eva, Hazel, Kinsley on 2011/10/08?\", \"yes\"], [\"Did I talk to anyone on 2011/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2740\", \"logical_representation\": [\"2011/10/08\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I watched a tv series for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/08?\", \"55 minutes\"], [\"what did I watch on tv on 2011/10/08?\", \"a tv series\"], [\"Did I watch tv on 2011/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/09\": {\"exercise\": {\"eid\": \"e2741\", \"logical_representation\": [\"2011/10/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/10/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2742\", \"logical_representation\": [\"2011/10/09\", \"dinner\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/10/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2743\", \"logical_representation\": [\"2011/10/09\", \"Layla, Piper, Hazel\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Hazel for 9 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Hazel in the early afternoon on 2011/10/09?\", \"9 minutes\"], [\"who did I talk to on 2011/10/09?\", \"Layla, Piper, Hazel\"], [\"Did I talk to Layla, Piper, Hazel on 2011/10/09?\", \"yes\"], [\"Did I talk to anyone on 2011/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2744\", \"logical_representation\": [\"2011/10/09\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/10/09?\", \"12 minutes\"], [\"what did I read on 2011/10/09?\", \"a book\"], [\"Did I read on 2011/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/10\": {\"exercise\": {\"eid\": \"e2745\", \"logical_representation\": [\"2011/10/10\", \"running\"], \"text_template_based\": \"I did running on 2011/10/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/10?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2746\", \"logical_representation\": [\"2011/10/10\", \"lunch\", \"indian food\", \"Hazel, Olivia, Avery, Nora, Rylee, Layla, Nevaeh, Claire, Lydia, Eva, Kinsley, Piper, Piper\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2747\", \"logical_representation\": [\"2011/10/10\", \"Eva, Olivia\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Eva, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia late in the evening on 2011/10/10?\", \"18 minutes\"], [\"who did I talk to on 2011/10/10?\", \"Eva, Olivia\"], [\"Did I talk to Eva, Olivia on 2011/10/10?\", \"yes\"], [\"Did I talk to anyone on 2011/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2748\", \"logical_representation\": [\"2011/10/10\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/10/10?\", \"24 minutes\"], [\"what did I read on 2011/10/10?\", \"news\"], [\"Did I read on 2011/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/11\": {\"lunch\": {\"eid\": \"e2749\", \"logical_representation\": [\"2011/10/11\", \"lunch\", \"fish and chips\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had fish and chips for lunch with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/10/11?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2011/10/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2750\", \"logical_representation\": [\"2011/10/11\", \"dinner\", \"sushi\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Carter, Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/10/11?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2011/10/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2751\", \"logical_representation\": [\"2011/10/11\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/10/11?\", \"42 minutes\"], [\"what did I read on 2011/10/11?\", \"social media\"], [\"Did I read on 2011/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2752\", \"logical_representation\": [\"2011/10/11\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/11?\", \"14 minutes\"], [\"what did I watch on tv on 2011/10/11?\", \"a movie\"], [\"Did I watch tv on 2011/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/12\": {\"lunch\": {\"eid\": \"e2753\", \"logical_representation\": [\"2011/10/12\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/12\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2011/10/14\": {\"breakfast\": {\"eid\": \"e2758\", \"logical_representation\": [\"2011/10/14\", \"breakfast\", \"pancakes\", \"Emily, Kayden\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2759\", \"logical_representation\": [\"2011/10/14\", \"dinner\", \"indian food\", \"Claire, Rylee, Nevaeh, Hazel, Kinsley, Piper\"], \"text_template_based\": \"I had indian food for dinner with Claire, Rylee, Nevaeh, Hazel, Kinsley, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/10/14?\", \"Claire, Rylee, Nevaeh, Hazel, Kinsley, Piper\"], [\"what did I eat for dinner on 2011/10/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2760\", \"logical_representation\": [\"2011/10/14\", \"Eva, Layla, Lydia, Nevaeh\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Eva, Layla, Lydia, Nevaeh for 20 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Lydia, Nevaeh late in the evening on 2011/10/14?\", \"20 minutes\"], [\"who did I talk to on 2011/10/14?\", \"Eva, Layla, Lydia, Nevaeh\"], [\"Did I talk to Eva, Layla, Lydia, Nevaeh on 2011/10/14?\", \"yes\"], [\"Did I talk to anyone on 2011/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/15\": {\"exercise\": {\"eid\": \"e2761\", \"logical_representation\": [\"2011/10/15\", \"running\"], \"text_template_based\": \"I did running on 2011/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2762\", \"logical_representation\": [\"2011/10/15\", \"lunch\", \"sandwich\", \"Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2763\", \"logical_representation\": [\"2011/10/15\", \"Olivia, Hazel, Avery\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I talked to Olivia, Hazel, Avery for 39 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Avery in the morning on 2011/10/15?\", \"39 minutes\"], [\"who did I talk to on 2011/10/15?\", \"Olivia, Hazel, Avery\"], [\"Did I talk to Olivia, Hazel, Avery on 2011/10/15?\", \"yes\"], [\"Did I talk to anyone on 2011/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2764\", \"logical_representation\": [\"2011/10/15\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/15?\", \"23 minutes\"], [\"what did I watch on tv on 2011/10/15?\", \"a documentary\"], [\"Did I watch tv on 2011/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/16\": {\"breakfast\": {\"eid\": \"e2765\", \"logical_representation\": [\"2011/10/16\", \"breakfast\", \"oatmeal\", \"Emily, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Andrew. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/10/16?\", \"Emily, Andrew\"], [\"what did I eat for breakfast on 2011/10/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2766\", \"logical_representation\": [\"2011/10/16\", \"lunch\", \"pasta\", \"Carter\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2767\", \"logical_representation\": [\"2011/10/16\", \"Piper, Layla, Olivia\", \"during lunch hours\", \"22 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Olivia for 22 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Olivia during lunch hours on 2011/10/16?\", \"22 minutes\"], [\"who did I talk to on 2011/10/16?\", \"Piper, Layla, Olivia\"], [\"Did I talk to Piper, Layla, Olivia on 2011/10/16?\", \"yes\"], [\"Did I talk to anyone on 2011/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2768\", \"logical_representation\": [\"2011/10/16\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/10/16?\", \"20 minutes\"], [\"what did I read on 2011/10/16?\", \"news\"], [\"Did I read on 2011/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/17\": {\"chat0\": {\"eid\": \"e2769\", \"logical_representation\": [\"2011/10/17\", \"Lydia, Avery, Piper\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Lydia, Avery, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Piper in the early evening on 2011/10/17?\", \"14 minutes\"], [\"who did I talk to on 2011/10/17?\", \"Lydia, Avery, Piper\"], [\"Did I talk to Lydia, Avery, Piper on 2011/10/17?\", \"yes\"], [\"Did I talk to anyone on 2011/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2770\", \"logical_representation\": [\"2011/10/17\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/10/17?\", \"11 minutes\"], [\"what did I read on 2011/10/17?\", \"social media\"], [\"Did I read on 2011/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/20\": {\"exercise\": {\"eid\": \"e2781\", \"logical_representation\": [\"2011/10/20\", \"biking\"], \"text_template_based\": \"I did biking on 2011/10/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2782\", \"logical_representation\": [\"2011/10/20\", \"breakfast\", \"cereals\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Carter, Kayden, Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/10/20?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2011/10/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2783\", \"logical_representation\": [\"2011/10/20\", \"Nora\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I talked to Nora for 51 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2011/10/20?\", \"51 minutes\"], [\"who did I talk to on 2011/10/20?\", \"Nora\"], [\"Did I talk to Nora on 2011/10/20?\", \"yes\"], [\"Did I talk to anyone on 2011/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2784\", \"logical_representation\": [\"2011/10/20\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/20?\", \"12 minutes\"], [\"what did I watch on tv on 2011/10/20?\", \"a movie\"], [\"Did I watch tv on 2011/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/21\": {\"lunch\": {\"eid\": \"e2785\", \"logical_representation\": [\"2011/10/21\", \"lunch\", \"a burger\", \"Piper, Lydia, Piper, Kinsley, Rylee, Olivia, Eva, Layla\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2786\", \"logical_representation\": [\"2011/10/21\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/21?\", \"42 minutes\"], [\"what did I watch on tv on 2011/10/21?\", \"news\"], [\"Did I watch tv on 2011/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/23\": {\"dinner\": {\"eid\": \"e2788\", \"logical_representation\": [\"2011/10/23\", \"dinner\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/10/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2789\", \"logical_representation\": [\"2011/10/23\", \"a book\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/10/23?\", \"21 minutes\"], [\"what did I read on 2011/10/23?\", \"a book\"], [\"Did I read on 2011/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/25\": {\"exercise\": {\"eid\": \"e2793\", \"logical_representation\": [\"2011/10/25\", \"biking\"], \"text_template_based\": \"I did biking on 2011/10/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/25?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2794\", \"logical_representation\": [\"2011/10/25\", \"dinner\", \"indian food\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/10/25?\", \"Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2011/10/25\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2011/10/26\": {\"lunch\": {\"eid\": \"e2795\", \"logical_representation\": [\"2011/10/26\", \"lunch\", \"sandwich\", \"Avery\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2796\", \"logical_representation\": [\"2011/10/26\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/10/26?\", \"5 minutes\"], [\"what did I read on 2011/10/26?\", \"social media\"], [\"Did I read on 2011/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2797\", \"logical_representation\": [\"2011/10/26\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/26?\", \"45 minutes\"], [\"what did I watch on tv on 2011/10/26?\", \"news\"], [\"Did I watch tv on 2011/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/27\": {\"exercise\": {\"eid\": \"e2798\", \"logical_representation\": [\"2011/10/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/10/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2799\", \"logical_representation\": [\"2011/10/27\", \"breakfast\", \"toast and cheese\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2800\", \"logical_representation\": [\"2011/10/27\", \"lunch\", \"pasta\", \"Jackson\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2801\", \"logical_representation\": [\"2011/10/27\", \"Layla, Olivia, Rylee, Claire\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Layla, Olivia, Rylee, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia, Rylee, Claire in the early afternoon on 2011/10/27?\", \"9 minutes\"], [\"who did I talk to on 2011/10/27?\", \"Layla, Olivia, Rylee, Claire\"], [\"Did I talk to Layla, Olivia, Rylee, Claire on 2011/10/27?\", \"yes\"], [\"Did I talk to anyone on 2011/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2802\", \"logical_representation\": [\"2011/10/27\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/10/27?\", \"52 minutes\"], [\"what did I read on 2011/10/27?\", \"news\"], [\"Did I read on 2011/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/29\": {\"exercise\": {\"eid\": \"e2807\", \"logical_representation\": [\"2011/10/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/10/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2808\", \"logical_representation\": [\"2011/10/29\", \"lunch\", \"chinese food\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had chinese food for lunch with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/10/29?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2011/10/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2809\", \"logical_representation\": [\"2011/10/29\", \"dinner\", \"chinese food\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/10/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2810\", \"logical_representation\": [\"2011/10/29\", \"Kinsley\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Kinsley for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the morning on 2011/10/29?\", \"45 minutes\"], [\"who did I talk to on 2011/10/29?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2011/10/29?\", \"yes\"], [\"Did I talk to anyone on 2011/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2811\", \"logical_representation\": [\"2011/10/29\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/10/29?\", \"20 minutes\"], [\"what did I read on 2011/10/29?\", \"a book\"], [\"Did I read on 2011/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/30\": {\"exercise\": {\"eid\": \"e2812\", \"logical_representation\": [\"2011/10/30\", \"running\"], \"text_template_based\": \"I did running on 2011/10/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2813\", \"logical_representation\": [\"2011/10/30\", \"breakfast\", \"toast and cheese\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2814\", \"logical_representation\": [\"2011/10/30\", \"lunch\", \"pasta\", \"Rylee, Hazel, Avery, Nevaeh\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2815\", \"logical_representation\": [\"2011/10/30\", \"Piper, Kinsley\", \"late in the evening\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Piper, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley late in the evening on 2011/10/30?\", \"48 minutes\"], [\"who did I talk to on 2011/10/30?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2011/10/30?\", \"yes\"], [\"Did I talk to anyone on 2011/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/01\": {\"breakfast\": {\"eid\": \"e2822\", \"logical_representation\": [\"2011/11/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Piper, Avery, Nora, Kinsley, Olivia, Layla, Rylee, Piper, Lydia\"], \"text_template_based\": \"I had breakfast with Nevaeh, Piper, Avery, Nora, Kinsley, Olivia, Layla, Rylee, Piper, Lydia. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/11/01?\", \"Nevaeh, Piper, Avery, Nora, Kinsley, Olivia, Layla, Rylee, Piper, Lydia\"], [\"what did I eat for breakfast on 2011/11/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2823\", \"logical_representation\": [\"2011/11/01\", \"lunch\", \"a burger\", \"Carter, Emily\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/11/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2824\", \"logical_representation\": [\"2011/11/01\", \"dinner\", \"sushi\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2825\", \"logical_representation\": [\"2011/11/01\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/11/01?\", \"6 minutes\"], [\"what did I read on 2011/11/01?\", \"news\"], [\"Did I read on 2011/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2826\", \"logical_representation\": [\"2011/11/01\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/01?\", \"26 minutes\"], [\"what did I watch on tv on 2011/11/01?\", \"a tv series\"], [\"Did I watch tv on 2011/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/02\": {\"lunch\": {\"eid\": \"e2827\", \"logical_representation\": [\"2011/11/02\", \"lunch\", \"fish and chips\", \"Olivia, Nora, Piper, Eva, Kinsley, Rylee, Claire, Nevaeh, Layla, Avery\"], \"text_template_based\": \"I had fish and chips for lunch with Olivia, Nora, Piper, Eva, Kinsley, Rylee, Claire, Nevaeh, Layla, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/11/02?\", \"Olivia, Nora, Piper, Eva, Kinsley, Rylee, Claire, Nevaeh, Layla, Avery\"], [\"what did I eat for lunch on 2011/11/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2828\", \"logical_representation\": [\"2011/11/02\", \"dinner\", \"indian food\", \"Kinsley, Eva, Piper, Lydia, Olivia\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2829\", \"logical_representation\": [\"2011/11/02\", \"news\", \"23 minutes\"], \"text_template_based\": \"I watched news for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/02?\", \"23 minutes\"], [\"what did I watch on tv on 2011/11/02?\", \"news\"], [\"Did I watch tv on 2011/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/03\": {\"lunch\": {\"eid\": \"e2830\", \"logical_representation\": [\"2011/11/03\", \"lunch\", \"tacos\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/11/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2831\", \"logical_representation\": [\"2011/11/03\", \"dinner\", \"a burger\", \"Carter, Emily\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2832\", \"logical_representation\": [\"2011/11/03\", \"Rylee\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2011/11/03?\", \"43 minutes\"], [\"who did I talk to on 2011/11/03?\", \"Rylee\"], [\"Did I talk to Rylee on 2011/11/03?\", \"yes\"], [\"Did I talk to anyone on 2011/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2833\", \"logical_representation\": [\"2011/11/03\", \"Lydia, Avery, Piper\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Lydia, Avery, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Piper late in the evening on 2011/11/03?\", \"31 minutes\"], [\"who did I talk to on 2011/11/03?\", \"Lydia, Avery, Piper\"], [\"Did I talk to Lydia, Avery, Piper on 2011/11/03?\", \"yes\"], [\"Did I talk to anyone on 2011/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2834\", \"logical_representation\": [\"2011/11/03\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/11/03?\", \"9 minutes\"], [\"what did I read on 2011/11/03?\", \"a book\"], [\"Did I read on 2011/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2835\", \"logical_representation\": [\"2011/11/03\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/03?\", \"8 minutes\"], [\"what did I watch on tv on 2011/11/03?\", \"a tv series\"], [\"Did I watch tv on 2011/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/04\": {\"exercise\": {\"eid\": \"e2836\", \"logical_representation\": [\"2011/11/04\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/11/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/04?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2837\", \"logical_representation\": [\"2011/11/04\", \"lunch\", \"a burger\", \"Carter\"], \"text_template_based\": \"I had a burger for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/11/04?\", \"Carter\"], [\"what did I eat for lunch on 2011/11/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2838\", \"logical_representation\": [\"2011/11/04\", \"Olivia, Lydia\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Olivia, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia in the early afternoon on 2011/11/04?\", \"48 minutes\"], [\"who did I talk to on 2011/11/04?\", \"Olivia, Lydia\"], [\"Did I talk to Olivia, Lydia on 2011/11/04?\", \"yes\"], [\"Did I talk to anyone on 2011/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/06\": {\"lunch\": {\"eid\": \"e2843\", \"logical_representation\": [\"2011/11/06\", \"lunch\", \"pasta\", \"Layla\"], \"text_template_based\": \"I had lunch with Layla. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/11/06?\", \"Layla\"], [\"what did I eat for lunch on 2011/11/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2844\", \"logical_representation\": [\"2011/11/06\", \"dinner\", \"steak\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2845\", \"logical_representation\": [\"2011/11/06\", \"Piper, Rylee, Kinsley, Nevaeh\", \"in the early evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Piper, Rylee, Kinsley, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Kinsley, Nevaeh in the early evening on 2011/11/06?\", \"55 minutes\"], [\"who did I talk to on 2011/11/06?\", \"Piper, Rylee, Kinsley, Nevaeh\"], [\"Did I talk to Piper, Rylee, Kinsley, Nevaeh on 2011/11/06?\", \"yes\"], [\"Did I talk to anyone on 2011/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/07\": {\"dinner\": {\"eid\": \"e2846\", \"logical_representation\": [\"2011/11/07\", \"dinner\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2847\", \"logical_representation\": [\"2011/11/07\", \"Claire, Piper\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Claire, Piper for 26 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper in the early afternoon on 2011/11/07?\", \"26 minutes\"], [\"who did I talk to on 2011/11/07?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2011/11/07?\", \"yes\"], [\"Did I talk to anyone on 2011/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2848\", \"logical_representation\": [\"2011/11/07\", \"Claire, Piper, Lydia, Rylee\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Lydia, Rylee for 14 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Lydia, Rylee late in the evening on 2011/11/07?\", \"14 minutes\"], [\"who did I talk to on 2011/11/07?\", \"Claire, Piper, Lydia, Rylee\"], [\"Did I talk to Claire, Piper, Lydia, Rylee on 2011/11/07?\", \"yes\"], [\"Did I talk to anyone on 2011/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2849\", \"logical_representation\": [\"2011/11/07\", \"a movie\", \"24 minutes\"], \"text_template_based\": \"I watched a movie for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/07?\", \"24 minutes\"], [\"what did I watch on tv on 2011/11/07?\", \"a movie\"], [\"Did I watch tv on 2011/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/08\": {\"dinner\": {\"eid\": \"e2850\", \"logical_representation\": [\"2011/11/08\", \"dinner\", \"fish and chips\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2851\", \"logical_representation\": [\"2011/11/08\", \"Piper, Nora\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Piper, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora late in the evening on 2011/11/08?\", \"55 minutes\"], [\"who did I talk to on 2011/11/08?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2011/11/08?\", \"yes\"], [\"Did I talk to anyone on 2011/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2852\", \"logical_representation\": [\"2011/11/08\", \"Nora, Nevaeh, Hazel\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Nora, Nevaeh, Hazel for 12 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Hazel in the early afternoon on 2011/11/08?\", \"12 minutes\"], [\"who did I talk to on 2011/11/08?\", \"Nora, Nevaeh, Hazel\"], [\"Did I talk to Nora, Nevaeh, Hazel on 2011/11/08?\", \"yes\"], [\"Did I talk to anyone on 2011/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2853\", \"logical_representation\": [\"2011/11/08\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/11/08?\", \"49 minutes\"], [\"what did I read on 2011/11/08?\", \"a book\"], [\"Did I read on 2011/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2854\", \"logical_representation\": [\"2011/11/08\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/08?\", \"32 minutes\"], [\"what did I watch on tv on 2011/11/08?\", \"a documentary\"], [\"Did I watch tv on 2011/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/09\": {\"exercise\": {\"eid\": \"e2855\", \"logical_representation\": [\"2011/11/09\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/11/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/09?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2856\", \"logical_representation\": [\"2011/11/09\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had cereals for breakfast with Kayden, Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/11/09?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for breakfast on 2011/11/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2857\", \"logical_representation\": [\"2011/11/09\", \"Lydia\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the late afternoon on 2011/11/09?\", \"53 minutes\"], [\"who did I talk to on 2011/11/09?\", \"Lydia\"], [\"Did I talk to Lydia on 2011/11/09?\", \"yes\"], [\"Did I talk to anyone on 2011/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/10\": {\"exercise\": {\"eid\": \"e2858\", \"logical_representation\": [\"2011/11/10\", \"biking\"], \"text_template_based\": \"I did biking on 2011/11/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2859\", \"logical_representation\": [\"2011/11/10\", \"breakfast\", \"oatmeal\", \"Layla, Lydia, Avery, Olivia, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/11/10\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2860\", \"logical_representation\": [\"2011/11/10\", \"dinner\", \"tacos\", \"Emily, Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2861\", \"logical_representation\": [\"2011/11/10\", \"Kinsley, Claire, Nora, Olivia\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Kinsley, Claire, Nora, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Nora, Olivia in the morning on 2011/11/10?\", \"7 minutes\"], [\"who did I talk to on 2011/11/10?\", \"Kinsley, Claire, Nora, Olivia\"], [\"Did I talk to Kinsley, Claire, Nora, Olivia on 2011/11/10?\", \"yes\"], [\"Did I talk to anyone on 2011/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2862\", \"logical_representation\": [\"2011/11/10\", \"a movie\", \"31 minutes\"], \"text_template_based\": \"I watched a movie for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/10?\", \"31 minutes\"], [\"what did I watch on tv on 2011/11/10?\", \"a movie\"], [\"Did I watch tv on 2011/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/11\": {\"exercise\": {\"eid\": \"e2863\", \"logical_representation\": [\"2011/11/11\", \"biking\"], \"text_template_based\": \"I did biking on 2011/11/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2864\", \"logical_representation\": [\"2011/11/11\", \"breakfast\", \"cereals\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/11/11\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2865\", \"logical_representation\": [\"2011/11/11\", \"Lydia, Layla, Piper, Olivia\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I talked to Lydia, Layla, Piper, Olivia for 38 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla, Piper, Olivia in the morning on 2011/11/11?\", \"38 minutes\"], [\"who did I talk to on 2011/11/11?\", \"Lydia, Layla, Piper, Olivia\"], [\"Did I talk to Lydia, Layla, Piper, Olivia on 2011/11/11?\", \"yes\"], [\"Did I talk to anyone on 2011/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2866\", \"logical_representation\": [\"2011/11/11\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/11/11?\", \"16 minutes\"], [\"what did I read on 2011/11/11?\", \"a book\"], [\"Did I read on 2011/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/12\": {\"exercise\": {\"eid\": \"e2867\", \"logical_representation\": [\"2011/11/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/11/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2868\", \"logical_representation\": [\"2011/11/12\", \"dinner\", \"indian food\", \"Piper, Olivia\"], \"text_template_based\": \"I had indian food for dinner with Piper, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/11/12?\", \"Piper, Olivia\"], [\"what did I eat for dinner on 2011/11/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2869\", \"logical_representation\": [\"2011/11/12\", \"Hazel, Kinsley, Lydia, Layla\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Hazel, Kinsley, Lydia, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley, Lydia, Layla in the early evening on 2011/11/12?\", \"33 minutes\"], [\"who did I talk to on 2011/11/12?\", \"Hazel, Kinsley, Lydia, Layla\"], [\"Did I talk to Hazel, Kinsley, Lydia, Layla on 2011/11/12?\", \"yes\"], [\"Did I talk to anyone on 2011/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2870\", \"logical_representation\": [\"2011/11/12\", \"news\", \"32 minutes\"], \"text_template_based\": \"I watched news for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/12?\", \"32 minutes\"], [\"what did I watch on tv on 2011/11/12?\", \"news\"], [\"Did I watch tv on 2011/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/13\": {\"breakfast\": {\"eid\": \"e2871\", \"logical_representation\": [\"2011/11/13\", \"breakfast\", \"cereals\", \"Avery\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/11/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2872\", \"logical_representation\": [\"2011/11/13\", \"lunch\", \"pasta\", \"Avery\"], \"text_template_based\": \"I had pasta for lunch with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/11/13?\", \"Avery\"], [\"what did I eat for lunch on 2011/11/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2873\", \"logical_representation\": [\"2011/11/13\", \"dinner\", \"indian food\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Emily, Andrew, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/11/13?\", \"Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2011/11/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2874\", \"logical_representation\": [\"2011/11/13\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I watched a tv series for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/13?\", \"13 minutes\"], [\"what did I watch on tv on 2011/11/13?\", \"a tv series\"], [\"Did I watch tv on 2011/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/14\": {\"exercise\": {\"eid\": \"e2875\", \"logical_representation\": [\"2011/11/14\", \"biking\"], \"text_template_based\": \"I did biking on 2011/11/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2876\", \"logical_representation\": [\"2011/11/14\", \"lunch\", \"a burger\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Kayden, Carter, Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/11/14?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2011/11/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2877\", \"logical_representation\": [\"2011/11/14\", \"dinner\", \"a burger\", \"Avery, Piper, Rylee\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2878\", \"logical_representation\": [\"2011/11/14\", \"Olivia, Piper\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Olivia, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper in the early afternoon on 2011/11/14?\", \"21 minutes\"], [\"who did I talk to on 2011/11/14?\", \"Olivia, Piper\"], [\"Did I talk to Olivia, Piper on 2011/11/14?\", \"yes\"], [\"Did I talk to anyone on 2011/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2879\", \"logical_representation\": [\"2011/11/14\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/11/14?\", \"26 minutes\"], [\"what did I read on 2011/11/14?\", \"a book\"], [\"Did I read on 2011/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2880\", \"logical_representation\": [\"2011/11/14\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/14?\", \"26 minutes\"], [\"what did I watch on tv on 2011/11/14?\", \"a tv series\"], [\"Did I watch tv on 2011/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/15\": {\"dinner\": {\"eid\": \"e2881\", \"logical_representation\": [\"2011/11/15\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2882\", \"logical_representation\": [\"2011/11/15\", \"Piper, Rylee\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee for 29 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the morning on 2011/11/15?\", \"29 minutes\"], [\"who did I talk to on 2011/11/15?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2011/11/15?\", \"yes\"], [\"Did I talk to anyone on 2011/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2883\", \"logical_representation\": [\"2011/11/15\", \"Piper, Hazel\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Piper, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel in the morning on 2011/11/15?\", \"44 minutes\"], [\"who did I talk to on 2011/11/15?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2011/11/15?\", \"yes\"], [\"Did I talk to anyone on 2011/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/16\": {\"exercise\": {\"eid\": \"e2884\", \"logical_representation\": [\"2011/11/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/11/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2885\", \"logical_representation\": [\"2011/11/16\", \"Lydia, Olivia, Rylee, Kinsley\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia, Rylee, Kinsley for 7 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Rylee, Kinsley in the late afternoon on 2011/11/16?\", \"7 minutes\"], [\"who did I talk to on 2011/11/16?\", \"Lydia, Olivia, Rylee, Kinsley\"], [\"Did I talk to Lydia, Olivia, Rylee, Kinsley on 2011/11/16?\", \"yes\"], [\"Did I talk to anyone on 2011/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2886\", \"logical_representation\": [\"2011/11/16\", \"Piper, Rylee\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee for 39 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the early afternoon on 2011/11/16?\", \"39 minutes\"], [\"who did I talk to on 2011/11/16?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2011/11/16?\", \"yes\"], [\"Did I talk to anyone on 2011/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/18\": {\"lunch\": {\"eid\": \"e2889\", \"logical_representation\": [\"2011/11/18\", \"lunch\", \"indian food\", \"Willow\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/11/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2890\", \"logical_representation\": [\"2011/11/18\", \"dinner\", \"a burger\", \"Piper, Olivia, Hazel, Nevaeh, Lydia, Rylee, Piper, Claire, Eva, Avery, Nora, Kinsley, Layla\"], \"text_template_based\": \"I had dinner with Piper, Olivia, Hazel, Nevaeh, Lydia, Rylee, Piper, Claire, Eva, Avery, Nora, Kinsley, Layla. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/11/18?\", \"Piper, Olivia, Hazel, Nevaeh, Lydia, Rylee, Piper, Claire, Eva, Avery, Nora, Kinsley, Layla\"], [\"what did I eat for dinner on 2011/11/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2891\", \"logical_representation\": [\"2011/11/18\", \"Hazel, Claire\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Hazel, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire in the early evening on 2011/11/18?\", \"43 minutes\"], [\"who did I talk to on 2011/11/18?\", \"Hazel, Claire\"], [\"Did I talk to Hazel, Claire on 2011/11/18?\", \"yes\"], [\"Did I talk to anyone on 2011/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/19\": {\"exercise\": {\"eid\": \"e2892\", \"logical_representation\": [\"2011/11/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/11/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2893\", \"logical_representation\": [\"2011/11/19\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I watched a tv series for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/19?\", \"47 minutes\"], [\"what did I watch on tv on 2011/11/19?\", \"a tv series\"], [\"Did I watch tv on 2011/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/20\": {\"exercise\": {\"eid\": \"e2894\", \"logical_representation\": [\"2011/11/20\", \"biking\"], \"text_template_based\": \"I did biking on 2011/11/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2895\", \"logical_representation\": [\"2011/11/20\", \"breakfast\", \"cereals\", \"Rylee, Kinsley, Nevaeh, Avery, Layla, Claire, Piper, Hazel, Eva, Olivia, Nora, Lydia, Piper\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/11/20\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2011/11/21\": {\"breakfast\": {\"eid\": \"e2896\", \"logical_representation\": [\"2011/11/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/11/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2897\", \"logical_representation\": [\"2011/11/21\", \"lunch\", \"steak\", \"Emily\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/11/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2898\", \"logical_representation\": [\"2011/11/21\", \"dinner\", \"pasta\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had pasta for dinner with Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/11/21?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for dinner on 2011/11/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2899\", \"logical_representation\": [\"2011/11/21\", \"Olivia\", \"in the late afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the late afternoon on 2011/11/21?\", \"36 minutes\"], [\"who did I talk to on 2011/11/21?\", \"Olivia\"], [\"Did I talk to Olivia on 2011/11/21?\", \"yes\"], [\"Did I talk to anyone on 2011/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/22\": {\"exercise\": {\"eid\": \"e2900\", \"logical_representation\": [\"2011/11/22\", \"biking\"], \"text_template_based\": \"I did biking on 2011/11/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2901\", \"logical_representation\": [\"2011/11/22\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Avery, Willow. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/11/22?\", \"Jackson, Avery, Willow\"], [\"what did I eat for breakfast on 2011/11/22\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2902\", \"logical_representation\": [\"2011/11/22\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I watched a tv series for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/22?\", \"34 minutes\"], [\"what did I watch on tv on 2011/11/22?\", \"a tv series\"], [\"Did I watch tv on 2011/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/23\": {\"dinner\": {\"eid\": \"e2903\", \"logical_representation\": [\"2011/11/23\", \"dinner\", \"pasta\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2904\", \"logical_representation\": [\"2011/11/23\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/11/23?\", \"35 minutes\"], [\"what did I read on 2011/11/23?\", \"a book\"], [\"Did I read on 2011/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/24\": {\"exercise\": {\"eid\": \"e2905\", \"logical_representation\": [\"2011/11/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/11/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2906\", \"logical_representation\": [\"2011/11/24\", \"dinner\", \"fish and chips\", \"Hazel, Eva, Piper, Olivia, Kinsley, Avery, Claire, Nevaeh, Piper, Rylee, Nora\"], \"text_template_based\": \"I had fish and chips for dinner with Hazel, Eva, Piper, Olivia, Kinsley, Avery, Claire, Nevaeh, Piper, Rylee, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/11/24?\", \"Hazel, Eva, Piper, Olivia, Kinsley, Avery, Claire, Nevaeh, Piper, Rylee, Nora\"], [\"what did I eat for dinner on 2011/11/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2907\", \"logical_representation\": [\"2011/11/24\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/11/24?\", \"12 minutes\"], [\"what did I read on 2011/11/24?\", \"news\"], [\"Did I read on 2011/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2908\", \"logical_representation\": [\"2011/11/24\", \"a tv series\", \"38 minutes\"], \"text_template_based\": \"I watched a tv series for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/24?\", \"38 minutes\"], [\"what did I watch on tv on 2011/11/24?\", \"a tv series\"], [\"Did I watch tv on 2011/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/25\": {\"chat0\": {\"eid\": \"e2909\", \"logical_representation\": [\"2011/11/25\", \"Nevaeh, Lydia\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia for 39 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia in the late afternoon on 2011/11/25?\", \"39 minutes\"], [\"who did I talk to on 2011/11/25?\", \"Nevaeh, Lydia\"], [\"Did I talk to Nevaeh, Lydia on 2011/11/25?\", \"yes\"], [\"Did I talk to anyone on 2011/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2910\", \"logical_representation\": [\"2011/11/25\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I watched a movie for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/25?\", \"48 minutes\"], [\"what did I watch on tv on 2011/11/25?\", \"a movie\"], [\"Did I watch tv on 2011/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/27\": {\"exercise\": {\"eid\": \"e2914\", \"logical_representation\": [\"2011/11/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2915\", \"logical_representation\": [\"2011/11/27\", \"Piper, Olivia\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia for 15 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia late in the evening on 2011/11/27?\", \"15 minutes\"], [\"who did I talk to on 2011/11/27?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2011/11/27?\", \"yes\"], [\"Did I talk to anyone on 2011/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2916\", \"logical_representation\": [\"2011/11/27\", \"Lydia, Piper, Layla, Rylee\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Layla, Rylee for 29 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Layla, Rylee in the early afternoon on 2011/11/27?\", \"29 minutes\"], [\"who did I talk to on 2011/11/27?\", \"Lydia, Piper, Layla, Rylee\"], [\"Did I talk to Lydia, Piper, Layla, Rylee on 2011/11/27?\", \"yes\"], [\"Did I talk to anyone on 2011/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2917\", \"logical_representation\": [\"2011/11/27\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/27?\", \"34 minutes\"], [\"what did I watch on tv on 2011/11/27?\", \"news\"], [\"Did I watch tv on 2011/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/28\": {\"breakfast\": {\"eid\": \"e2918\", \"logical_representation\": [\"2011/11/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Piper, Hazel, Lydia\"], \"text_template_based\": \"I had breakfast with Piper, Piper, Hazel, Lydia. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/11/28?\", \"Piper, Piper, Hazel, Lydia\"], [\"what did I eat for breakfast on 2011/11/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2919\", \"logical_representation\": [\"2011/11/28\", \"Eva, Nevaeh, Avery\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Eva, Nevaeh, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Avery in the late afternoon on 2011/11/28?\", \"38 minutes\"], [\"who did I talk to on 2011/11/28?\", \"Eva, Nevaeh, Avery\"], [\"Did I talk to Eva, Nevaeh, Avery on 2011/11/28?\", \"yes\"], [\"Did I talk to anyone on 2011/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2920\", \"logical_representation\": [\"2011/11/28\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/11/28?\", \"52 minutes\"], [\"what did I read on 2011/11/28?\", \"social media\"], [\"Did I read on 2011/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2921\", \"logical_representation\": [\"2011/11/28\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/28?\", \"5 minutes\"], [\"what did I watch on tv on 2011/11/28?\", \"a movie\"], [\"Did I watch tv on 2011/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/29\": {\"breakfast\": {\"eid\": \"e2922\", \"logical_representation\": [\"2011/11/29\", \"breakfast\", \"cereals\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/11/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2923\", \"logical_representation\": [\"2011/11/29\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/11/29?\", \"38 minutes\"], [\"what did I read on 2011/11/29?\", \"news\"], [\"Did I read on 2011/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2924\", \"logical_representation\": [\"2011/11/29\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/29?\", \"49 minutes\"], [\"what did I watch on tv on 2011/11/29?\", \"news\"], [\"Did I watch tv on 2011/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/30\": {\"exercise\": {\"eid\": \"e2925\", \"logical_representation\": [\"2011/11/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/11/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2926\", \"logical_representation\": [\"2011/11/30\", \"Hazel, Claire, Kinsley, Nevaeh\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Hazel, Claire, Kinsley, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Kinsley, Nevaeh late in the evening on 2011/11/30?\", \"26 minutes\"], [\"who did I talk to on 2011/11/30?\", \"Hazel, Claire, Kinsley, Nevaeh\"], [\"Did I talk to Hazel, Claire, Kinsley, Nevaeh on 2011/11/30?\", \"yes\"], [\"Did I talk to anyone on 2011/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2927\", \"logical_representation\": [\"2011/11/30\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/11/30?\", \"10 minutes\"], [\"what did I read on 2011/11/30?\", \"news\"], [\"Did I read on 2011/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/03\": {\"exercise\": {\"eid\": \"e2937\", \"logical_representation\": [\"2011/12/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/12/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2938\", \"logical_representation\": [\"2011/12/03\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2939\", \"logical_representation\": [\"2011/12/03\", \"dinner\", \"fish and chips\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/12/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2940\", \"logical_representation\": [\"2011/12/03\", \"Layla, Eva\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I talked to Layla, Eva for 13 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva in the morning on 2011/12/03?\", \"13 minutes\"], [\"who did I talk to on 2011/12/03?\", \"Layla, Eva\"], [\"Did I talk to Layla, Eva on 2011/12/03?\", \"yes\"], [\"Did I talk to anyone on 2011/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/05\": {\"watch tv\": {\"eid\": \"e2945\", \"logical_representation\": [\"2011/12/05\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I watched a tv series for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/05?\", \"6 minutes\"], [\"what did I watch on tv on 2011/12/05?\", \"a tv series\"], [\"Did I watch tv on 2011/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/06\": {\"lunch\": {\"eid\": \"e2946\", \"logical_representation\": [\"2011/12/06\", \"lunch\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/12/06?\", \"Carter\"], [\"what did I eat for lunch on 2011/12/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2947\", \"logical_representation\": [\"2011/12/06\", \"dinner\", \"fish and chips\", \"Kinsley, Eva, Layla, Piper, Hazel, Olivia, Avery, Claire\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/12/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2948\", \"logical_representation\": [\"2011/12/06\", \"Kinsley, Lydia\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia for 53 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia in the early evening on 2011/12/06?\", \"53 minutes\"], [\"who did I talk to on 2011/12/06?\", \"Kinsley, Lydia\"], [\"Did I talk to Kinsley, Lydia on 2011/12/06?\", \"yes\"], [\"Did I talk to anyone on 2011/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2949\", \"logical_representation\": [\"2011/12/06\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I watched a tv series for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/06?\", \"11 minutes\"], [\"what did I watch on tv on 2011/12/06?\", \"a tv series\"], [\"Did I watch tv on 2011/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/07\": {\"exercise\": {\"eid\": \"e2950\", \"logical_representation\": [\"2011/12/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/12/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2951\", \"logical_representation\": [\"2011/12/07\", \"Olivia, Nevaeh\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I talked to Olivia, Nevaeh for 34 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh during lunch hours on 2011/12/07?\", \"34 minutes\"], [\"who did I talk to on 2011/12/07?\", \"Olivia, Nevaeh\"], [\"Did I talk to Olivia, Nevaeh on 2011/12/07?\", \"yes\"], [\"Did I talk to anyone on 2011/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2952\", \"logical_representation\": [\"2011/12/07\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/12/07?\", \"32 minutes\"], [\"what did I read on 2011/12/07?\", \"social media\"], [\"Did I read on 2011/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2953\", \"logical_representation\": [\"2011/12/07\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/07?\", \"41 minutes\"], [\"what did I watch on tv on 2011/12/07?\", \"a movie\"], [\"Did I watch tv on 2011/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/10\": {\"exercise\": {\"eid\": \"e2961\", \"logical_representation\": [\"2011/12/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/12/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2962\", \"logical_representation\": [\"2011/12/10\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2963\", \"logical_representation\": [\"2011/12/10\", \"Avery\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early afternoon on 2011/12/10?\", \"31 minutes\"], [\"who did I talk to on 2011/12/10?\", \"Avery\"], [\"Did I talk to Avery on 2011/12/10?\", \"yes\"], [\"Did I talk to anyone on 2011/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2964\", \"logical_representation\": [\"2011/12/10\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/12/10?\", \"6 minutes\"], [\"what did I read on 2011/12/10?\", \"a book\"], [\"Did I read on 2011/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/13\": {\"exercise\": {\"eid\": \"e2971\", \"logical_representation\": [\"2011/12/13\", \"running\"], \"text_template_based\": \"I did running on 2011/12/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/13?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2972\", \"logical_representation\": [\"2011/12/13\", \"dinner\", \"chinese food\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/12/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2973\", \"logical_representation\": [\"2011/12/13\", \"Eva, Avery, Claire\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Eva, Avery, Claire for 48 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Claire in the early evening on 2011/12/13?\", \"48 minutes\"], [\"who did I talk to on 2011/12/13?\", \"Eva, Avery, Claire\"], [\"Did I talk to Eva, Avery, Claire on 2011/12/13?\", \"yes\"], [\"Did I talk to anyone on 2011/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2974\", \"logical_representation\": [\"2011/12/13\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/12/13?\", \"17 minutes\"], [\"what did I read on 2011/12/13?\", \"news\"], [\"Did I read on 2011/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/15\": {\"exercise\": {\"eid\": \"e2978\", \"logical_representation\": [\"2011/12/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/12/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2979\", \"logical_representation\": [\"2011/12/15\", \"lunch\", \"pasta\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had pasta for lunch with Kayden, Carter, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/12/15?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for lunch on 2011/12/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2980\", \"logical_representation\": [\"2011/12/15\", \"Eva, Hazel, Claire, Piper\", \"late in the evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel, Claire, Piper for 48 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Claire, Piper late in the evening on 2011/12/15?\", \"48 minutes\"], [\"who did I talk to on 2011/12/15?\", \"Eva, Hazel, Claire, Piper\"], [\"Did I talk to Eva, Hazel, Claire, Piper on 2011/12/15?\", \"yes\"], [\"Did I talk to anyone on 2011/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2981\", \"logical_representation\": [\"2011/12/15\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/12/15?\", \"7 minutes\"], [\"what did I read on 2011/12/15?\", \"a book\"], [\"Did I read on 2011/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2982\", \"logical_representation\": [\"2011/12/15\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/15?\", \"38 minutes\"], [\"what did I watch on tv on 2011/12/15?\", \"news\"], [\"Did I watch tv on 2011/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/16\": {\"exercise\": {\"eid\": \"e2983\", \"logical_representation\": [\"2011/12/16\", \"running\"], \"text_template_based\": \"I did running on 2011/12/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2984\", \"logical_representation\": [\"2011/12/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/12/16?\", \"Andrew\"], [\"what did I eat for breakfast on 2011/12/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2985\", \"logical_representation\": [\"2011/12/16\", \"Layla, Nevaeh\", \"in the early evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Layla, Nevaeh for 31 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh in the early evening on 2011/12/16?\", \"31 minutes\"], [\"who did I talk to on 2011/12/16?\", \"Layla, Nevaeh\"], [\"Did I talk to Layla, Nevaeh on 2011/12/16?\", \"yes\"], [\"Did I talk to anyone on 2011/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2986\", \"logical_representation\": [\"2011/12/16\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/12/16?\", \"45 minutes\"], [\"what did I read on 2011/12/16?\", \"social media\"], [\"Did I read on 2011/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2987\", \"logical_representation\": [\"2011/12/16\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I watched a movie for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/16?\", \"14 minutes\"], [\"what did I watch on tv on 2011/12/16?\", \"a movie\"], [\"Did I watch tv on 2011/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/17\": {\"breakfast\": {\"eid\": \"e2988\", \"logical_representation\": [\"2011/12/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Nevaeh, Rylee, Avery, Claire, Eva, Nora, Piper, Kinsley, Piper, Olivia, Layla, Lydia\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2989\", \"logical_representation\": [\"2011/12/17\", \"lunch\", \"tacos\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/12/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2990\", \"logical_representation\": [\"2011/12/17\", \"dinner\", \"sandwich\", \"Benjamin\"], \"text_template_based\": \"I had sandwich for dinner with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/12/17?\", \"Benjamin\"], [\"what did I eat for dinner on 2011/12/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e2991\", \"logical_representation\": [\"2011/12/17\", \"Avery, Hazel, Layla\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Avery, Hazel, Layla for 29 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Layla late in the evening on 2011/12/17?\", \"29 minutes\"], [\"who did I talk to on 2011/12/17?\", \"Avery, Hazel, Layla\"], [\"Did I talk to Avery, Hazel, Layla on 2011/12/17?\", \"yes\"], [\"Did I talk to anyone on 2011/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2992\", \"logical_representation\": [\"2011/12/17\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/12/17?\", \"49 minutes\"], [\"what did I read on 2011/12/17?\", \"social media\"], [\"Did I read on 2011/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2993\", \"logical_representation\": [\"2011/12/17\", \"a documentary\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/17?\", \"34 minutes\"], [\"what did I watch on tv on 2011/12/17?\", \"a documentary\"], [\"Did I watch tv on 2011/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/20\": {\"breakfast\": {\"eid\": \"e3002\", \"logical_representation\": [\"2011/12/20\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Emily, Carter, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/12/20?\", \"Emily, Carter, Andrew, Kayden\"], [\"what did I eat for breakfast on 2011/12/20\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3003\", \"logical_representation\": [\"2011/12/20\", \"lunch\", \"fish and chips\", \"Lydia, Olivia, Eva, Kinsley, Rylee, Avery, Nevaeh, Claire, Piper, Layla, Nora, Piper\"], \"text_template_based\": \"I had lunch with Lydia, Olivia, Eva, Kinsley, Rylee, Avery, Nevaeh, Claire, Piper, Layla, Nora, Piper. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/12/20?\", \"Lydia, Olivia, Eva, Kinsley, Rylee, Avery, Nevaeh, Claire, Piper, Layla, Nora, Piper\"], [\"what did I eat for lunch on 2011/12/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3004\", \"logical_representation\": [\"2011/12/20\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/20?\", \"11 minutes\"], [\"what did I watch on tv on 2011/12/20?\", \"a movie\"], [\"Did I watch tv on 2011/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/22\": {\"dinner\": {\"eid\": \"e3012\", \"logical_representation\": [\"2011/12/22\", \"dinner\", \"sandwich\", \"Avery\"], \"text_template_based\": \"I had dinner with Avery. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/12/22?\", \"Avery\"], [\"what did I eat for dinner on 2011/12/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3013\", \"logical_representation\": [\"2011/12/22\", \"Olivia, Piper, Claire\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Claire for 24 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Claire in the early afternoon on 2011/12/22?\", \"24 minutes\"], [\"who did I talk to on 2011/12/22?\", \"Olivia, Piper, Claire\"], [\"Did I talk to Olivia, Piper, Claire on 2011/12/22?\", \"yes\"], [\"Did I talk to anyone on 2011/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/23\": {\"exercise\": {\"eid\": \"e3014\", \"logical_representation\": [\"2011/12/23\", \"running\"], \"text_template_based\": \"I did running on 2011/12/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3015\", \"logical_representation\": [\"2011/12/23\", \"lunch\", \"steak\", \"Piper, Hazel, Nora, Kinsley, Rylee, Eva, Nevaeh, Avery, Olivia, Claire, Lydia, Layla\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/12/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3016\", \"logical_representation\": [\"2011/12/23\", \"a tv series\", \"38 minutes\"], \"text_template_based\": \"I watched a tv series for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/23?\", \"38 minutes\"], [\"what did I watch on tv on 2011/12/23?\", \"a tv series\"], [\"Did I watch tv on 2011/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/24\": {\"exercise\": {\"eid\": \"e3017\", \"logical_representation\": [\"2011/12/24\", \"biking\"], \"text_template_based\": \"I did biking on 2011/12/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3018\", \"logical_representation\": [\"2011/12/24\", \"breakfast\", \"pancakes\", \"Layla, Eva, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3019\", \"logical_representation\": [\"2011/12/24\", \"Nevaeh, Hazel, Kinsley\", \"in the morning\", \"18 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Hazel, Kinsley for 18 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Kinsley in the morning on 2011/12/24?\", \"18 minutes\"], [\"who did I talk to on 2011/12/24?\", \"Nevaeh, Hazel, Kinsley\"], [\"Did I talk to Nevaeh, Hazel, Kinsley on 2011/12/24?\", \"yes\"], [\"Did I talk to anyone on 2011/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3020\", \"logical_representation\": [\"2011/12/24\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/12/24?\", \"19 minutes\"], [\"what did I read on 2011/12/24?\", \"a book\"], [\"Did I read on 2011/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3021\", \"logical_representation\": [\"2011/12/24\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I watched a movie for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/24?\", \"19 minutes\"], [\"what did I watch on tv on 2011/12/24?\", \"a movie\"], [\"Did I watch tv on 2011/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/27\": {\"exercise\": {\"eid\": \"e3030\", \"logical_representation\": [\"2011/12/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/12/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3031\", \"logical_representation\": [\"2011/12/27\", \"lunch\", \"sushi\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/12/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3032\", \"logical_representation\": [\"2011/12/27\", \"dinner\", \"pasta\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/12/27\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2011/12/28\": {\"chat0\": {\"eid\": \"e3033\", \"logical_representation\": [\"2011/12/28\", \"Piper\", \"late in the evening\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2011/12/28?\", \"48 minutes\"], [\"who did I talk to on 2011/12/28?\", \"Piper\"], [\"Did I talk to Piper on 2011/12/28?\", \"yes\"], [\"Did I talk to anyone on 2011/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3034\", \"logical_representation\": [\"2011/12/28\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/28?\", \"22 minutes\"], [\"what did I watch on tv on 2011/12/28?\", \"news\"], [\"Did I watch tv on 2011/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/29\": {\"exercise\": {\"eid\": \"e3035\", \"logical_representation\": [\"2011/12/29\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/12/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/29?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3036\", \"logical_representation\": [\"2011/12/29\", \"breakfast\", \"pancakes\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I had breakfast with Willow, Avery, Jackson. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/12/29?\", \"Willow, Avery, Jackson\"], [\"what did I eat for breakfast on 2011/12/29\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3037\", \"logical_representation\": [\"2011/12/29\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/12/29?\", \"34 minutes\"], [\"what did I read on 2011/12/29?\", \"news\"], [\"Did I read on 2011/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/30\": {\"breakfast\": {\"eid\": \"e3038\", \"logical_representation\": [\"2011/12/30\", \"breakfast\", \"oatmeal\", \"Nevaeh, Nora, Eva, Avery, Piper\"], \"text_template_based\": \"I had oatmeal for breakfast with Nevaeh, Nora, Eva, Avery, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/12/30?\", \"Nevaeh, Nora, Eva, Avery, Piper\"], [\"what did I eat for breakfast on 2011/12/30\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3039\", \"logical_representation\": [\"2011/12/30\", \"lunch\", \"pasta\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/12/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3040\", \"logical_representation\": [\"2011/12/30\", \"dinner\", \"tacos\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had tacos for dinner with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/12/30?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2011/12/30\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3041\", \"logical_representation\": [\"2011/12/30\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/12/30?\", \"21 minutes\"], [\"what did I read on 2011/12/30?\", \"social media\"], [\"Did I read on 2011/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/31\": {\"exercise\": {\"eid\": \"e3042\", \"logical_representation\": [\"2011/12/31\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/12/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/31?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3043\", \"logical_representation\": [\"2011/12/31\", \"breakfast\", \"pancakes\", \"Claire, Rylee, Kinsley\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3044\", \"logical_representation\": [\"2011/12/31\", \"Piper, Olivia\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia for 43 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the late afternoon on 2011/12/31?\", \"43 minutes\"], [\"who did I talk to on 2011/12/31?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2011/12/31?\", \"yes\"], [\"Did I talk to anyone on 2011/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/02\": {\"travel\": {\"eid\": \"e3045\", \"logical_representation\": [\"2012/05/02\", \"2012/05/17\", [\"Piper\"], \"Sydney, Australia\"], \"text_template_based\": \"I visited Sydney, Australia for 15 days with Piper starting on 2012/05/02\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Sydney, Australia on 2012/05/02?\", \"Piper\"], [\"who did I go with to Sydney, Australia?\", \"Piper\"], [\"where did I go on 2012/05/02?\", \"Sydney, Australia\"], [\"when did I go to Sydney, Australia?\", \"2012/05/02\"], [\"when did I go to Sydney, Australia with Piper ?\", \"2012/05/02\"], [\"How long did I stay in Sydney, Australia?\", \"15\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3635\", \"logical_representation\": [\"2012/05/02\", \"dinner\", \"sandwich\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3636\", \"logical_representation\": [\"2012/05/02\", \"Hazel, Lydia\", \"in the early evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia for 13 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia in the early evening on 2012/05/02?\", \"13 minutes\"], [\"who did I talk to on 2012/05/02?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2012/05/02?\", \"yes\"], [\"Did I talk to anyone on 2012/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/03\": {\"places_visited\": {\"eid\": \"e3046\", \"logical_representation\": [\"2012/05/03\", [\"Piper\"], \"Sydney Opera House\", \"bought some souvenirs\", \"happy\"], \"text_template_based\": \"During my trip to Sydney, Australia, I visited Sydney Opera House on 2012/05 with Piper.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Sydney, Australia on 2012/05\", \"Sydney Opera House\"], [\"when did I visit Sydney Opera House during my trip to Sydney, Australia\", \"2012/05/03\"], [\"when did I visit Sydney Opera House \", \"2012/05/03\"], [\"who went with me to visit Sydney Opera House ?\", \"Piper\"], [\"who went with me to visit Sydney Opera House during my trip to Sydney, Australia on 2012/05?\", \"Piper\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e3049\", \"logical_representation\": [\"2012/05/03\", [\"Piper\"], \"Japanese food\", \"Love Crepe\"], \"text_template_based\": \"I ate Japanese food at Love Crepe with Piper on  2012/05/03 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Love Crepe ?\", \"Piper\"], [\"who did I eat Japanese food with?\", \"Piper\"], [\"where did we eat Japanese food during our trip to Sydney, Australia on  2012/05/03?\", \"Love Crepe\"], [\"when did we eat Japanese food at Love Crepe during our trip to Sydney, Australia?\", \"2012/05/03\"], [\"when did we eat at Love Crepe?\", \"2012/05/03\"], [\"when did we eat Japanese food?\", \"2012/05/03\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3637\", \"logical_representation\": [\"2012/05/03\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Andrew, Kayden, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/05/03?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2012/05/03\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3638\", \"logical_representation\": [\"2012/05/03\", \"lunch\", \"indian food\", \"Kayden, Carter\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/05/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3639\", \"logical_representation\": [\"2012/05/03\", \"Lydia, Nora, Piper, Nevaeh\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Lydia, Nora, Piper, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Piper, Nevaeh in the late afternoon on 2012/05/03?\", \"19 minutes\"], [\"who did I talk to on 2012/05/03?\", \"Lydia, Nora, Piper, Nevaeh\"], [\"Did I talk to Lydia, Nora, Piper, Nevaeh on 2012/05/03?\", \"yes\"], [\"Did I talk to anyone on 2012/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3640\", \"logical_representation\": [\"2012/05/03\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/05/03?\", \"37 minutes\"], [\"what did I read on 2012/05/03?\", \"news\"], [\"Did I read on 2012/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3641\", \"logical_representation\": [\"2012/05/03\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/03?\", \"28 minutes\"], [\"what did I watch on tv on 2012/05/03?\", \"news\"], [\"Did I watch tv on 2012/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/04\": {\"places_visited\": {\"eid\": \"e3047\", \"logical_representation\": [\"2012/05/04\", [\"Piper\"], \"Sydney Harbour Bridge\", \"bought some souvenirs\", \"impressed\"], \"text_template_based\": \"During my trip to Sydney, Australia, I visited Sydney Harbour Bridge on 2012/05 with Piper.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Sydney, Australia on 2012/05\", \"Sydney Harbour Bridge\"], [\"when did I visit Sydney Harbour Bridge during my trip to Sydney, Australia\", \"2012/05/04\"], [\"when did I visit Sydney Harbour Bridge \", \"2012/05/04\"], [\"who went with me to visit Sydney Harbour Bridge ?\", \"Piper\"], [\"who went with me to visit Sydney Harbour Bridge during my trip to Sydney, Australia on 2012/05?\", \"Piper\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3642\", \"logical_representation\": [\"2012/05/04\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had pasta for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/05/04?\", \"Emily\"], [\"what did I eat for lunch on 2012/05/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3643\", \"logical_representation\": [\"2012/05/04\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/05/04?\", \"15 minutes\"], [\"what did I read on 2012/05/04?\", \"a book\"], [\"Did I read on 2012/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/05\": {\"places_visited\": {\"eid\": \"e3048\", \"logical_representation\": [\"2012/05/05\", [\"Piper\"], \"Bondi Beach\", \"recorded some videos\", \"impressed\"], \"text_template_based\": \"During my trip to Sydney, Australia, I visited Bondi Beach on 2012/05 with Piper.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Sydney, Australia on 2012/05\", \"Bondi Beach\"], [\"when did I visit Bondi Beach during my trip to Sydney, Australia\", \"2012/05/05\"], [\"when did I visit Bondi Beach \", \"2012/05/05\"], [\"who went with me to visit Bondi Beach ?\", \"Piper\"], [\"who went with me to visit Bondi Beach during my trip to Sydney, Australia on 2012/05?\", \"Piper\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e3050\", \"logical_representation\": [\"2012/05/05\", [\"Piper\"], \"Italian food\", \"Bombay Street Kitchen\"], \"text_template_based\": \"I ate Italian food at Bombay Street Kitchen with Piper on  2012/05/05 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Bombay Street Kitchen ?\", \"Piper\"], [\"who did I eat Italian food with?\", \"Piper\"], [\"where did we eat 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pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3646\", \"logical_representation\": [\"2012/05/05\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/05/05?\", \"47 minutes\"], [\"what did I read on 2012/05/05?\", \"news\"], [\"Did I read on 2012/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3647\", \"logical_representation\": [\"2012/05/05\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/05?\", \"45 minutes\"], [\"what did I watch on tv on 2012/05/05?\", \"news\"], [\"Did I watch tv on 2012/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/06\": {\"dining\": {\"eid\": \"e3051\", \"logical_representation\": [\"2012/05/06\", [\"Piper\"], \"local food\", \"Bombay Street Kitchen\"], \"text_template_based\": \"I ate local food at Bombay Street Kitchen with Piper on  2012/05/06 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at Bombay Street Kitchen ?\", \"Piper\"], [\"who did I eat local food with?\", \"Piper\"], [\"where did we eat local food during our trip to Sydney, Australia on  2012/05/06?\", \"Bombay Street Kitchen\"], [\"when did we eat local food at Bombay Street Kitchen during our trip to Sydney, Australia?\", \"2012/05/06\"], [\"when did we eat at Bombay Street Kitchen?\", \"2012/05/06\"], [\"when did we eat local food?\", \"2012/05/06\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3102\", \"logical_representation\": [\"2012/05/06\", \"I bought some blackberries, clementines, tea, mango juice, sports drinks, apple juice, conditioner, shaving cream, mouthwash, toilet paper online.\", \"blackberries, clementines\", \"tea, mango juice, sports drinks, apple juice\", \"conditioner, shaving cream, mouthwash, toilet paper\", \"Carter\"], \"text_template_based\": \"I bought some blackberries, clementines, tea, mango juice, sports drinks, apple juice, conditioner, shaving cream, mouthwash, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/05/06?\", \"blackberries, clementines, tea, mango juice, sports drinks, apple juice, and conditioner, shaving cream, mouthwash, toilet paper\"], [\"what fruits did I buy online on 2012/05/06?\", \"blackberries, clementines\"], [\"what drinks did I buy online on 2012/05/06?\", \"tea, mango juice, sports drinks, apple juice\"], [\"what toiletries did I buy online on 2012/05/06?\", \"conditioner, shaving cream, mouthwash, toilet paper\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3648\", \"logical_representation\": [\"2012/05/06\", \"dinner\", \"pasta\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/05/06?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for dinner on 2012/05/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3649\", \"logical_representation\": [\"2012/05/06\", \"Lydia, Piper, Nevaeh\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Nevaeh for 49 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Nevaeh in the early evening on 2012/05/06?\", \"49 minutes\"], [\"who did I talk to on 2012/05/06?\", \"Lydia, Piper, Nevaeh\"], [\"Did I talk to Lydia, Piper, Nevaeh on 2012/05/06?\", \"yes\"], [\"Did I talk to anyone on 2012/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3650\", \"logical_representation\": [\"2012/05/06\", \"Hazel\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Hazel for 25 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2012/05/06?\", \"25 minutes\"], [\"who did I talk to on 2012/05/06?\", \"Hazel\"], [\"Did I talk to Hazel on 2012/05/06?\", \"yes\"], [\"Did I talk to anyone on 2012/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3651\", \"logical_representation\": [\"2012/05/06\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/05/06?\", \"34 minutes\"], [\"what did I read on 2012/05/06?\", \"social media\"], [\"Did I read on 2012/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/07\": {\"dining\": {\"eid\": \"e3052\", \"logical_representation\": [\"2012/05/07\", [\"Piper\"], \"street food\", \"Bombay Street Kitchen\"], \"text_template_based\": \"I ate street food at Bombay Street Kitchen with Piper on  2012/05/07 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat street food with at Bombay Street Kitchen ?\", \"Piper\"], [\"who did I eat street food with?\", \"Piper\"], [\"where did we eat street food during our trip to Sydney, Australia on  2012/05/07?\", \"Bombay Street Kitchen\"], [\"when did we eat street food at Bombay Street Kitchen during our trip to Sydney, Australia?\", \"2012/05/07\"], [\"when did we eat at Bombay Street Kitchen?\", \"2012/05/07\"], [\"when did we eat street food?\", \"2012/05/07\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3652\", \"logical_representation\": [\"2012/05/07\", \"lunch\", \"sushi\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/05/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3653\", \"logical_representation\": [\"2012/05/07\", \"Eva, Lydia, Piper\", \"in the morning\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Eva, Lydia, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Piper in the morning on 2012/05/07?\", \"28 minutes\"], [\"who did I talk to on 2012/05/07?\", \"Eva, Lydia, Piper\"], [\"Did I talk to Eva, Lydia, Piper on 2012/05/07?\", \"yes\"], [\"Did I talk to anyone on 2012/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3654\", \"logical_representation\": [\"2012/05/07\", \"Nora\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2012/05/07?\", \"13 minutes\"], [\"who did I talk to on 2012/05/07?\", \"Nora\"], [\"Did I talk to Nora on 2012/05/07?\", \"yes\"], [\"Did I talk to anyone on 2012/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3655\", \"logical_representation\": [\"2012/05/07\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/05/07?\", \"40 minutes\"], [\"what did I read on 2012/05/07?\", \"news\"], [\"Did I read on 2012/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/09\": {\"dining\": {\"eid\": \"e3053\", \"logical_representation\": [\"2012/05/09\", [\"Piper\"], \"Japanese food\", \"Bombay Street Kitchen\"], \"text_template_based\": \"I ate Japanese food at Bombay Street Kitchen with Piper on  2012/05/09 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Bombay Street Kitchen ?\", \"Piper\"], [\"who did I eat Japanese food with?\", \"Piper\"], [\"where did we eat Japanese food during our trip to Sydney, Australia on  2012/05/09?\", \"Bombay Street Kitchen\"], [\"when did we eat Japanese food at Bombay Street Kitchen during our trip to Sydney, Australia?\", \"2012/05/09\"], [\"when did we eat at Bombay Street Kitchen?\", \"2012/05/09\"], [\"when did we eat Japanese food?\", \"2012/05/09\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3660\", \"logical_representation\": [\"2012/05/09\", \"Rylee, Avery, Kinsley\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery, Kinsley for 39 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery, Kinsley during lunch hours on 2012/05/09?\", \"39 minutes\"], [\"who did I talk to on 2012/05/09?\", \"Rylee, Avery, Kinsley\"], [\"Did I talk to Rylee, Avery, Kinsley on 2012/05/09?\", \"yes\"], [\"Did I talk to anyone on 2012/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3661\", \"logical_representation\": [\"2012/05/09\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/05/09?\", \"51 minutes\"], [\"what did I read on 2012/05/09?\", \"social media\"], [\"Did I read on 2012/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3662\", \"logical_representation\": [\"2012/05/09\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/09?\", \"17 minutes\"], [\"what did I watch on tv on 2012/05/09?\", \"a movie\"], [\"Did I watch tv on 2012/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/10\": {\"dining\": {\"eid\": \"e3054\", \"logical_representation\": [\"2012/05/10\", [\"Piper\"], \"Chinese food\", \"Bombay Street Kitchen\"], \"text_template_based\": \"I ate Chinese food at Bombay Street Kitchen with Piper on  2012/05/10 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Bombay Street Kitchen ?\", \"Piper\"], [\"who did I eat Chinese food with?\", \"Piper\"], [\"where did we eat Chinese food during our trip to Sydney, Australia on  2012/05/10?\", \"Bombay Street Kitchen\"], [\"when did we eat Chinese food at Bombay Street Kitchen during our trip to Sydney, Australia?\", \"2012/05/10\"], [\"when did we eat at Bombay Street Kitchen?\", \"2012/05/10\"], [\"when did we eat Chinese food?\", \"2012/05/10\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3663\", \"logical_representation\": [\"2012/05/10\", \"breakfast\", \"pancakes\", \"Carter, Andrew\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/05/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3664\", \"logical_representation\": [\"2012/05/10\", \"Olivia, Piper, Nevaeh\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Olivia, Piper, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Nevaeh late in the evening on 2012/05/10?\", \"5 minutes\"], [\"who did I talk to on 2012/05/10?\", \"Olivia, Piper, Nevaeh\"], [\"Did I talk to Olivia, Piper, Nevaeh on 2012/05/10?\", \"yes\"], [\"Did I talk to anyone on 2012/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3665\", \"logical_representation\": [\"2012/05/10\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/05/10?\", \"39 minutes\"], [\"what did I read on 2012/05/10?\", \"news\"], [\"Did I read on 2012/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/11\": {\"dining\": {\"eid\": \"e3055\", \"logical_representation\": [\"2012/05/11\", [\"Piper\"], \"Japanese food\", \"Love Crepe\"], \"text_template_based\": \"I ate Japanese food at Love Crepe with Piper on  2012/05/11 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Love Crepe ?\", \"Piper\"], [\"who did I eat Japanese food with?\", \"Piper\"], [\"where did we eat Japanese food during our trip to Sydney, Australia on  2012/05/11?\", \"Love Crepe\"], [\"when did we eat Japanese food at Love Crepe during our trip to Sydney, Australia?\", \"2012/05/11\"], [\"when did we eat at Love Crepe?\", \"2012/05/11\"], [\"when did we eat Japanese food?\", \"2012/05/11\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3666\", \"logical_representation\": [\"2012/05/11\", \"Piper, Rylee\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Piper, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the early evening on 2012/05/11?\", \"24 minutes\"], [\"who did I talk to on 2012/05/11?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2012/05/11?\", \"yes\"], [\"Did I talk to anyone on 2012/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3667\", \"logical_representation\": [\"2012/05/11\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/05/11?\", \"13 minutes\"], [\"what did I read on 2012/05/11?\", \"news\"], [\"Did I read on 2012/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3668\", \"logical_representation\": [\"2012/05/11\", \"news\", \"51 minutes\"], \"text_template_based\": \"I watched news for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/11?\", \"51 minutes\"], [\"what did I watch on tv on 2012/05/11?\", \"news\"], [\"Did I watch tv on 2012/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/12\": {\"dining\": {\"eid\": \"e3056\", \"logical_representation\": [\"2012/05/12\", [\"Piper\"], \"local food\", \"Thievery Chicken & Charcoal\"], \"text_template_based\": \"I ate local food at Thievery Chicken & Charcoal with Piper on  2012/05/12 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at Thievery Chicken & Charcoal ?\", \"Piper\"], [\"who did I eat local food with?\", \"Piper\"], [\"where did we eat local food during our trip to Sydney, Australia on  2012/05/12?\", \"Thievery Chicken & Charcoal\"], [\"when did we eat local food at Thievery Chicken & Charcoal during our trip to Sydney, Australia?\", \"2012/05/12\"], [\"when did we eat at Thievery Chicken & Charcoal?\", \"2012/05/12\"], [\"when did we eat local food?\", \"2012/05/12\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3669\", \"logical_representation\": [\"2012/05/12\", \"breakfast\", \"cereals\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/05/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3670\", \"logical_representation\": [\"2012/05/12\", \"lunch\", \"pasta\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/05/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3671\", \"logical_representation\": [\"2012/05/12\", \"Rylee, Nora\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Rylee, Nora for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora in the early afternoon on 2012/05/12?\", \"7 minutes\"], [\"who did I talk to on 2012/05/12?\", \"Rylee, Nora\"], [\"Did I talk to Rylee, Nora on 2012/05/12?\", \"yes\"], [\"Did I talk to anyone on 2012/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3672\", \"logical_representation\": [\"2012/05/12\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/05/12?\", \"38 minutes\"], [\"what did I read on 2012/05/12?\", \"social media\"], [\"Did I read on 2012/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/13\": {\"dining\": {\"eid\": \"e3057\", \"logical_representation\": [\"2012/05/13\", [\"Piper\"], \"Indian food\", \"Bombay Street Kitchen\"], \"text_template_based\": \"I ate Indian food at Bombay Street Kitchen with Piper on  2012/05/13 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Bombay Street Kitchen ?\", \"Piper\"], [\"who did I eat Indian food with?\", \"Piper\"], [\"where did we eat Indian food during our trip to Sydney, Australia on  2012/05/13?\", \"Bombay Street Kitchen\"], [\"when did we eat Indian food at Bombay Street Kitchen during our trip to Sydney, Australia?\", \"2012/05/13\"], [\"when did we eat at Bombay Street Kitchen?\", \"2012/05/13\"], [\"when did we eat Indian food?\", \"2012/05/13\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3673\", \"logical_representation\": [\"2012/05/13\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/05/13?\", \"Andrew\"], [\"what did I eat for breakfast on 2012/05/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3674\", \"logical_representation\": [\"2012/05/13\", \"lunch\", \"steak\", \"Jackson, Willow\"], \"text_template_based\": \"I had steak for lunch with Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/05/13?\", \"Jackson, Willow\"], [\"what did I eat for lunch on 2012/05/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3675\", \"logical_representation\": [\"2012/05/13\", \"Avery, Piper, Lydia\", \"in the early afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Lydia for 35 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Lydia in the early afternoon on 2012/05/13?\", \"35 minutes\"], [\"who did I talk to on 2012/05/13?\", \"Avery, Piper, Lydia\"], [\"Did I talk to Avery, Piper, Lydia on 2012/05/13?\", \"yes\"], [\"Did I talk to anyone on 2012/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3676\", \"logical_representation\": [\"2012/05/13\", \"Piper, Nora, Avery\", \"in the late afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Avery for 35 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Avery in the late afternoon on 2012/05/13?\", \"35 minutes\"], [\"who did I talk to on 2012/05/13?\", \"Piper, Nora, Avery\"], [\"Did I talk to Piper, Nora, Avery on 2012/05/13?\", \"yes\"], [\"Did I talk to anyone on 2012/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3677\", \"logical_representation\": [\"2012/05/13\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/05/13?\", \"17 minutes\"], [\"what did I read on 2012/05/13?\", \"a book\"], [\"Did I read on 2012/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3678\", \"logical_representation\": [\"2012/05/13\", \"a documentary\", \"41 minutes\"], \"text_template_based\": \"I watched a documentary for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/13?\", \"41 minutes\"], [\"what did I watch on tv on 2012/05/13?\", \"a documentary\"], [\"Did I watch tv on 2012/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/14\": {\"dining\": {\"eid\": \"e3058\", \"logical_representation\": [\"2012/05/14\", [\"Piper\"], \"street food\", \"Love Crepe\"], \"text_template_based\": \"I ate street food at Love Crepe with Piper on  2012/05/14 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat street food with at Love Crepe ?\", \"Piper\"], [\"who did I eat street food with?\", \"Piper\"], [\"where did we eat street food during our trip to Sydney, Australia on  2012/05/14?\", \"Love Crepe\"], [\"when did we eat street food at Love Crepe during our trip to Sydney, Australia?\", \"2012/05/14\"], [\"when did we eat at Love Crepe?\", \"2012/05/14\"], [\"when did we eat street food?\", \"2012/05/14\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3679\", \"logical_representation\": [\"2012/05/14\", \"dinner\", \"indian food\", \"Benjamin\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3680\", \"logical_representation\": [\"2012/05/14\", \"Layla, Olivia, Nora, Avery\", \"in the early afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Layla, Olivia, Nora, Avery for 18 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia, Nora, Avery in the early afternoon on 2012/05/14?\", \"18 minutes\"], [\"who did I talk to on 2012/05/14?\", \"Layla, Olivia, Nora, Avery\"], [\"Did I talk to Layla, Olivia, Nora, Avery on 2012/05/14?\", \"yes\"], [\"Did I talk to anyone on 2012/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3681\", \"logical_representation\": [\"2012/05/14\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/14?\", \"48 minutes\"], [\"what did I watch on tv on 2012/05/14?\", \"news\"], [\"Did I watch tv on 2012/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/15\": {\"dining\": {\"eid\": \"e3059\", \"logical_representation\": [\"2012/05/15\", [\"Piper\"], \"Italian food\", \"Thievery Chicken & Charcoal\"], \"text_template_based\": \"I ate Italian food at Thievery Chicken & Charcoal with Piper on  2012/05/15 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Thievery Chicken & Charcoal ?\", \"Piper\"], [\"who did I eat Italian food with?\", \"Piper\"], [\"where did we eat Italian food during our trip to Sydney, Australia on  2012/05/15?\", \"Thievery Chicken & Charcoal\"], [\"when did we eat Italian food at Thievery Chicken & Charcoal during our trip to Sydney, Australia?\", \"2012/05/15\"], [\"when did we eat at Thievery Chicken & Charcoal?\", \"2012/05/15\"], [\"when did we eat Italian food?\", \"2012/05/15\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3682\", \"logical_representation\": [\"2012/05/15\", \"lunch\", \"sandwich\", \"Nevaeh, Eva, Layla\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/05/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3683\", \"logical_representation\": [\"2012/05/15\", \"dinner\", \"pasta\", \"Kinsley, Layla, Claire\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3684\", \"logical_representation\": [\"2012/05/15\", \"Layla, Lydia, Rylee, Hazel\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I talked to Layla, Lydia, Rylee, Hazel for 5 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Rylee, Hazel in the morning on 2012/05/15?\", \"5 minutes\"], [\"who did I talk to on 2012/05/15?\", \"Layla, Lydia, Rylee, Hazel\"], [\"Did I talk to Layla, Lydia, Rylee, Hazel on 2012/05/15?\", \"yes\"], [\"Did I talk to anyone on 2012/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3685\", \"logical_representation\": [\"2012/05/15\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I watched a movie for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/15?\", \"23 minutes\"], [\"what did I watch on tv on 2012/05/15?\", \"a movie\"], [\"Did I watch tv on 2012/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/16\": {\"dining\": {\"eid\": \"e3060\", \"logical_representation\": [\"2012/05/16\", [\"Piper\"], \"Italian food\", \"Bombay Street Kitchen\"], \"text_template_based\": \"I ate Italian food at Bombay Street Kitchen with Piper on  2012/05/16 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Bombay Street Kitchen ?\", \"Piper\"], [\"who did I eat Italian food with?\", \"Piper\"], [\"where did we eat Italian food during our trip to Sydney, Australia on  2012/05/16?\", \"Bombay Street Kitchen\"], [\"when did we eat Italian food at Bombay Street Kitchen during our trip to Sydney, Australia?\", \"2012/05/16\"], [\"when did we eat at Bombay Street Kitchen?\", \"2012/05/16\"], [\"when did we eat Italian food?\", \"2012/05/16\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3103\", \"logical_representation\": [\"2012/05/16\", \"I went grocery shopping with Piper, Nevaeh, Olivia, Avery, Lydia, Nora, Piper, Layla, Claire, Eva. I bought some nectarines, raspberries, orange juice, tea, chocolate milk, and facial wash, mouth wash, body lotion\", \"nectarines, raspberries\", \"orange juice, tea, chocolate milk\", \"facial wash, mouth wash, body lotion\", \"Piper, Nevaeh, Olivia, Avery, Lydia, Nora, Piper, Layla, Claire, Eva\"], \"text_template_based\": \"I went grocery shopping with Piper, Nevaeh, Olivia, Avery, Lydia, Nora, Piper, Layla, Claire, Eva. I bought some nectarines, raspberries, orange juice, tea, chocolate milk, and facial wash, mouth wash, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/05/16?\", \"nectarines, raspberries, orange juice, tea, chocolate milk, and facial wash, mouth wash, body lotion\"], [\"what fruits did I buy from the grocery store on 2012/05/16?\", \"nectarines, raspberries\"], [\"what drinks did I buy from the grocery store on 2012/05/16?\", \"orange juice, tea, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2012/05/16?\", \"facial wash, mouth wash, body lotion\"], [\"who was with me at the grocery store on 2012/05/16?\", \"Piper, Nevaeh, Olivia, Avery, Lydia, Nora, Piper, Layla, Claire, Eva\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3686\", \"logical_representation\": [\"2012/05/16\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I had indian food for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/05/16?\", \"Kayden\"], [\"what did I eat for dinner on 2012/05/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3687\", \"logical_representation\": [\"2012/05/16\", \"Lydia\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2012/05/16?\", \"11 minutes\"], [\"who did I talk to on 2012/05/16?\", \"Lydia\"], [\"Did I talk to Lydia on 2012/05/16?\", \"yes\"], [\"Did I talk to anyone on 2012/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3688\", \"logical_representation\": [\"2012/05/16\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/05/16?\", \"31 minutes\"], [\"what did I read on 2012/05/16?\", \"social media\"], [\"Did I read on 2012/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3689\", \"logical_representation\": [\"2012/05/16\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/16?\", \"20 minutes\"], [\"what did I watch on tv on 2012/05/16?\", \"a tv series\"], [\"Did I watch tv on 2012/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/17\": {\"dining\": {\"eid\": \"e3061\", \"logical_representation\": [\"2012/05/17\", [\"Piper\"], \"Japanese food\", \"Bombay Street Kitchen\"], \"text_template_based\": \"I ate Japanese food at Bombay Street Kitchen with Piper on  2012/05/17 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Bombay Street Kitchen ?\", \"Piper\"], [\"who did I eat Japanese food with?\", \"Piper\"], [\"where did we eat Japanese food during our trip to Sydney, Australia on  2012/05/17?\", \"Bombay Street Kitchen\"], [\"when did we eat Japanese food at Bombay Street Kitchen during our trip to Sydney, Australia?\", \"2012/05/17\"], [\"when did we eat at Bombay Street Kitchen?\", \"2012/05/17\"], [\"when did we eat Japanese food?\", \"2012/05/17\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3690\", \"logical_representation\": [\"2012/05/17\", \"Nevaeh\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the late afternoon on 2012/05/17?\", \"17 minutes\"], [\"who did I talk to on 2012/05/17?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2012/05/17?\", \"yes\"], [\"Did I talk to anyone on 2012/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3691\", \"logical_representation\": [\"2012/05/17\", \"Piper, Claire\", \"in the early afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper, Claire for 43 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire in the early afternoon on 2012/05/17?\", \"43 minutes\"], [\"who did I talk to on 2012/05/17?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2012/05/17?\", \"yes\"], [\"Did I talk to anyone on 2012/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3692\", \"logical_representation\": [\"2012/05/17\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/17?\", \"20 minutes\"], [\"what did I watch on tv on 2012/05/17?\", \"a tv series\"], [\"Did I watch tv on 2012/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/04\": {\"personal_medical_care\": {\"eid\": \"e3062\", \"logical_representation\": [\"2012/08/04\", \"I went for an annual physical checkup on 2012/08/04 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I went for an annual physical checkup on 2012/08/04 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual physical checkup in 2012?\", \"2012/08/04\"], [\"where did I go for an annual physical checkup on 2012/08/04\", \"private clinic\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3990\", \"logical_representation\": [\"2012/08/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/08/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3991\", \"logical_representation\": [\"2012/08/04\", \"breakfast\", \"oatmeal\", \"Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/08/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3992\", \"logical_representation\": [\"2012/08/04\", \"dinner\", \"pasta\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3993\", \"logical_representation\": [\"2012/08/04\", \"Claire\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I talked to Claire for 25 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2012/08/04?\", \"25 minutes\"], [\"who did I talk to on 2012/08/04?\", \"Claire\"], [\"Did I talk to Claire on 2012/08/04?\", \"yes\"], [\"Did I talk to anyone on 2012/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3994\", \"logical_representation\": [\"2012/08/04\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/04?\", \"53 minutes\"], [\"what did I watch on tv on 2012/08/04?\", \"news\"], [\"Did I watch tv on 2012/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/08\": {\"personal_medical_care\": {\"eid\": \"e3063\", \"logical_representation\": [\"2012/01/08\", \"I went for an annual dental cleaning and checkup on 2012/01/08 at the hospital.\", \"hospital\"], \"text_template_based\": \"I went for an annual dental cleaning and checkup on 2012/01/08 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual dental cleaning and checkup in 2012?\", \"2012/01/08\"], [\"where did I go for an annual dental cleaning and checkup on 2012/01/08\", \"hospital\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3200\", \"logical_representation\": [\"2012/01/08\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/01/08?\", \"24 minutes\"], [\"what did I read on 2012/01/08?\", \"social media\"], [\"Did I read on 2012/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3201\", \"logical_representation\": [\"2012/01/08\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/01/08?\", \"17 minutes\"], [\"what did I watch on tv on 2012/01/08?\", \"a documentary\"], [\"Did I watch tv on 2012/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/24\": {\"personal_medical_care\": {\"eid\": \"e3064\", \"logical_representation\": [\"2012/02/24\", \"I went for an annual vision checkup on 2012/02/24 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual vision checkup on 2012/02/24 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual vision checkup in 2012?\", \"2012/02/24\"], [\"where did I go for an annual vision checkup on 2012/02/24\", \"university hospital\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e3082\", \"logical_representation\": [\"2012/02/24\", \"Everleigh\", \"a restaurant\"], \"text_template_based\": \"On 2012/02/24, I took Everleigh on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/02/24\", \"Everleigh\"], [\"where did I go for the date on 2012/02/24\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3377\", \"logical_representation\": [\"2012/02/24\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/02/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/24?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3378\", \"logical_representation\": [\"2012/02/24\", \"lunch\", \"sandwich\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/02/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3379\", \"logical_representation\": [\"2012/02/24\", \"dinner\", \"a burger\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had dinner with Avery, Benjamin, Willow, Jackson. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/02/24?\", \"Avery, Benjamin, Willow, Jackson\"], [\"what did I eat for dinner on 2012/02/24\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3380\", \"logical_representation\": [\"2012/02/24\", \"Olivia\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2012/02/24?\", \"43 minutes\"], [\"who did I talk to on 2012/02/24?\", \"Olivia\"], [\"Did I talk to Olivia on 2012/02/24?\", \"yes\"], [\"Did I talk to anyone on 2012/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3381\", \"logical_representation\": [\"2012/02/24\", \"a movie\", \"55 minutes\"], \"text_template_based\": \"I watched a movie for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/24?\", \"55 minutes\"], [\"what did I watch on tv on 2012/02/24?\", \"a movie\"], [\"Did I watch tv on 2012/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/24\": {\"parent_medical_care\": {\"eid\": \"e3065\", \"logical_representation\": [\"2012/10/24\", \"I took my parents for their for an annual physical checkup on 2012/10/24 at the hospital.\", \"hospital\"], \"text_template_based\": \"I took my parents for their for an annual physical checkup on 2012/10/24 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2012?\", \"2012/10/24\"], [\"what did I do on 2012/10/24\", \"I took my parents for their for an annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4311\", \"logical_representation\": [\"2012/10/24\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/10/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/24?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4312\", \"logical_representation\": [\"2012/10/24\", \"lunch\", \"pasta\", \"Lydia, Layla, Eva, Olivia, Claire, Hazel, Kinsley, Rylee, Piper\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/10/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4313\", \"logical_representation\": [\"2012/10/24\", \"dinner\", \"pasta\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/10/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4314\", \"logical_representation\": [\"2012/10/24\", \"Claire, Olivia, Layla, Piper\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia, Layla, Piper for 12 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Layla, Piper in the late afternoon on 2012/10/24?\", \"12 minutes\"], [\"who did I talk to on 2012/10/24?\", \"Claire, Olivia, Layla, Piper\"], [\"Did I talk to Claire, Olivia, Layla, Piper on 2012/10/24?\", \"yes\"], [\"Did I talk to anyone on 2012/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4315\", \"logical_representation\": [\"2012/10/24\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/10/24?\", \"41 minutes\"], [\"what did I read on 2012/10/24?\", \"news\"], [\"Did I read on 2012/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4316\", \"logical_representation\": [\"2012/10/24\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/24?\", \"12 minutes\"], [\"what did I watch on tv on 2012/10/24?\", \"a movie\"], [\"Did I watch tv on 2012/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/16\": {\"parent_medical_care\": {\"eid\": \"e3066\", \"logical_representation\": [\"2012/10/16\", \"I took my parents for their for an annual dental cleaning and checkup on 2012/10/16 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I took my parents for their for an annual dental cleaning and checkup on 2012/10/16 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2012?\", \"2012/10/16\"], [\"what did I do on 2012/10/16\", \"I took my parents for their for an annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4277\", \"logical_representation\": [\"2012/10/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/10/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4278\", \"logical_representation\": [\"2012/10/16\", \"breakfast\", \"peanut-butter-jam\", \"Olivia, Piper, Avery, Rylee, Layla, Nevaeh\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Olivia, Piper, Avery, Rylee, Layla, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/10/16?\", \"Olivia, Piper, Avery, Rylee, Layla, Nevaeh\"], [\"what did I eat for breakfast on 2012/10/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4279\", \"logical_representation\": [\"2012/10/16\", \"dinner\", \"sushi\", \"Layla, Eva, Piper\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/10/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4280\", \"logical_representation\": [\"2012/10/16\", \"Lydia, Olivia, Piper, Nora\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Lydia, Olivia, Piper, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Piper, Nora in the morning on 2012/10/16?\", \"33 minutes\"], [\"who did I talk to on 2012/10/16?\", \"Lydia, Olivia, Piper, Nora\"], [\"Did I talk to Lydia, Olivia, Piper, Nora on 2012/10/16?\", \"yes\"], [\"Did I talk to anyone on 2012/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4281\", \"logical_representation\": [\"2012/10/16\", \"Nevaeh, Piper, Nora, Olivia\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Nora, Olivia for 29 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Nora, Olivia during lunch hours on 2012/10/16?\", \"29 minutes\"], [\"who did I talk to on 2012/10/16?\", \"Nevaeh, Piper, Nora, Olivia\"], [\"Did I talk to Nevaeh, Piper, Nora, Olivia on 2012/10/16?\", \"yes\"], [\"Did I talk to anyone on 2012/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/12\": {\"dating\": {\"eid\": \"e3067\", \"logical_representation\": [\"2012/01/12\", \"Xavier\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Xavier on 2012/01/12 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/01/12\", \"Xavier\"], [\"where did I go for the date on 2012/01/12\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3068\", \"logical_representation\": [\"2012/01/12\", \"I went grocery shopping with Hazel. I bought some peaches, mineral water, and shampoo, toothbrush, facial wash, shaving cream\", \"peaches\", \"mineral water\", \"shampoo, toothbrush, facial wash, shaving cream\", \"Hazel\"], \"text_template_based\": \"I went grocery shopping with Hazel. I bought some peaches, mineral water, and shampoo, toothbrush, facial wash, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/01/12?\", \"peaches, mineral water, and shampoo, toothbrush, facial wash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2012/01/12?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2012/01/12?\", \"mineral water\"], [\"what toiletries did I buy from the grocery store on 2012/01/12?\", \"shampoo, toothbrush, facial wash, shaving cream\"], [\"who was with me at the grocery store on 2012/01/12?\", \"Hazel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3214\", \"logical_representation\": [\"2012/01/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/01/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/01/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3215\", \"logical_representation\": [\"2012/01/12\", \"breakfast\", \"toast and cheese\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Emily, Kayden. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/01/12?\", \"Carter, Emily, Kayden\"], [\"what did I eat for breakfast on 2012/01/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3216\", \"logical_representation\": [\"2012/01/12\", \"dinner\", \"chinese food\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/01/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2012/01/15\": {\"dating\": {\"eid\": \"e3069\", \"logical_representation\": [\"2012/01/15\", \"Cora\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Cora on 2012/01/15 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/01/15\", \"Cora\"], [\"where did I go for the date on 2012/01/15\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3226\", \"logical_representation\": [\"2012/01/15\", \"dinner\", \"sushi\", \"Piper, Eva, Layla, Piper, Rylee, Nora, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/01/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3227\", \"logical_representation\": [\"2012/01/15\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/01/15?\", \"8 minutes\"], [\"what did I read on 2012/01/15?\", \"social media\"], [\"Did I read on 2012/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/17\": {\"grocery\": {\"eid\": \"e3070\", \"logical_representation\": [\"2012/01/17\", \"I went grocery shopping with Carter, Kayden, Emily. I bought some nectarines, strawberries, guava juice, coffee, apple juice, tea, and conditioner\", \"nectarines, strawberries\", \"guava juice, coffee, apple juice, tea\", \"conditioner\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping with Carter, Kayden, Emily. I bought some nectarines, strawberries, guava juice, coffee, apple juice, tea, and conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/01/17?\", \"nectarines, strawberries, guava juice, coffee, apple juice, tea, and conditioner\"], [\"what fruits did I buy from the grocery store on 2012/01/17?\", \"nectarines, strawberries\"], [\"what drinks did I buy from the grocery store on 2012/01/17?\", \"guava juice, coffee, apple juice, tea\"], [\"what toiletries did I buy from the grocery store on 2012/01/17?\", \"conditioner\"], [\"who was with me at the grocery store on 2012/01/17?\", \"Carter, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3232\", \"logical_representation\": [\"2012/01/17\", \"Piper, Nevaeh, Claire, Nora\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Claire, Nora for 54 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Claire, Nora in the morning on 2012/01/17?\", \"54 minutes\"], [\"who did I talk to on 2012/01/17?\", \"Piper, Nevaeh, Claire, Nora\"], [\"Did I talk to Piper, Nevaeh, Claire, Nora on 2012/01/17?\", \"yes\"], [\"Did I talk to anyone on 2012/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3233\", \"logical_representation\": [\"2012/01/17\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/01/17?\", \"46 minutes\"], [\"what did I read on 2012/01/17?\", \"news\"], [\"Did I read on 2012/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3234\", \"logical_representation\": [\"2012/01/17\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/01/17?\", \"40 minutes\"], [\"what did I watch on tv on 2012/01/17?\", \"a tv series\"], [\"Did I watch tv on 2012/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/25\": {\"dating\": {\"eid\": \"e3071\", \"logical_representation\": [\"2012/01/25\", \"Hailey\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Hailey on 2012/01/25 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/01/25\", \"Hailey\"], [\"where did I go for the date on 2012/01/25\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3258\", \"logical_representation\": [\"2012/01/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/01/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/01/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3259\", \"logical_representation\": [\"2012/01/25\", \"dinner\", \"fish and chips\", \"Eva, Nevaeh, Piper, Nora\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/01/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3260\", \"logical_representation\": [\"2012/01/25\", \"Claire, Olivia, Layla, Nora\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia, Layla, Nora for 20 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Layla, Nora in the late afternoon on 2012/01/25?\", \"20 minutes\"], [\"who did I talk to on 2012/01/25?\", \"Claire, Olivia, Layla, Nora\"], [\"Did I talk to Claire, Olivia, Layla, Nora on 2012/01/25?\", \"yes\"], [\"Did I talk to anyone on 2012/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3261\", \"logical_representation\": [\"2012/01/25\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/01/25?\", \"8 minutes\"], [\"what did I read on 2012/01/25?\", \"news\"], [\"Did I read on 2012/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/28\": {\"grocery\": {\"eid\": \"e3072\", \"logical_representation\": [\"2012/01/28\", \"I bought some mangos, oranges, apples, peaches, apple juice, coffee, mineral water, mouthwash, toothpaste, conditioner, body lotion from the grocery store. I saw Andrew, Emily, Kayden, Carter at the grocery store.\", \"mangos, oranges, apples, peaches\", \"apple juice, coffee, mineral water\", \"mouthwash, toothpaste, conditioner, body lotion\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I bought some mangos, oranges, apples, peaches, apple juice, coffee, mineral water, mouthwash, toothpaste, conditioner, body lotion from the grocery store. I saw Andrew, Emily, Kayden, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/01/28?\", \"mangos, oranges, apples, peaches, apple juice, coffee, mineral water, and mouthwash, toothpaste, conditioner, body lotion\"], [\"what fruits did I buy from the grocery store on 2012/01/28?\", \"mangos, oranges, apples, peaches\"], [\"what drinks did I buy from the grocery store on 2012/01/28?\", \"apple juice, coffee, mineral water\"], [\"what toiletries did I buy from the grocery store on 2012/01/28?\", \"mouthwash, toothpaste, conditioner, body lotion\"], [\"who did I see at the grocery store on 2012/01/28?\", \"Andrew, Emily, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3269\", \"logical_representation\": [\"2012/01/28\", \"lunch\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3270\", \"logical_representation\": [\"2012/01/28\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/01/28?\", \"7 minutes\"], [\"what did I read on 2012/01/28?\", \"news\"], [\"Did I read on 2012/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/31\": {\"dating\": {\"eid\": \"e3073\", \"logical_representation\": [\"2012/01/31\", \"Owen\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Owen on 2012/01/31 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/01/31\", \"Owen\"], [\"where did I go for the date on 2012/01/31\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3277\", \"logical_representation\": [\"2012/01/31\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/01/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/01/31?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3278\", \"logical_representation\": [\"2012/01/31\", \"breakfast\", \"pancakes\", \"Claire, Eva, Nevaeh, Hazel, Olivia, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/01/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3279\", \"logical_representation\": [\"2012/01/31\", \"lunch\", \"pasta\", \"Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/01/31?\", \"Kayden, Andrew\"], [\"what did I eat for lunch on 2012/01/31\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2012/02/04\": {\"dating\": {\"eid\": \"e3074\", \"logical_representation\": [\"2012/02/04\", \"Easton\", \"a park\"], \"text_template_based\": \"On 2012/02/04, I took Easton on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/02/04\", \"Easton\"], [\"where did I go for the date on 2012/02/04\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3297\", \"logical_representation\": [\"2012/02/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/02/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3298\", \"logical_representation\": [\"2012/02/04\", \"lunch\", \"a burger\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/02/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3299\", \"logical_representation\": [\"2012/02/04\", \"dinner\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/02/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3300\", \"logical_representation\": [\"2012/02/04\", \"Piper, Nora, Lydia\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Piper, Nora, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Lydia in the late afternoon on 2012/02/04?\", \"45 minutes\"], [\"who did I talk to on 2012/02/04?\", \"Piper, Nora, Lydia\"], [\"Did I talk to Piper, Nora, Lydia on 2012/02/04?\", \"yes\"], [\"Did I talk to anyone on 2012/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3301\", \"logical_representation\": [\"2012/02/04\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/02/04?\", \"49 minutes\"], [\"what did I read on 2012/02/04?\", \"social media\"], [\"Did I read on 2012/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3302\", \"logical_representation\": [\"2012/02/04\", \"news\", \"6 minutes\"], \"text_template_based\": \"I watched news for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/04?\", \"6 minutes\"], [\"what did I watch on tv on 2012/02/04?\", \"news\"], [\"Did I watch tv on 2012/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/30\": {\"grocery\": {\"eid\": \"e3075\", \"logical_representation\": [\"2012/01/30\", \"I bought some guava, cherres, strawberries, nectarines, apple juice, soda, coffee, paper towel from the grocery store. I saw Andrew, Emily at the grocery store.\", \"guava, cherres, strawberries, nectarines\", \"apple juice, soda, coffee\", \"paper towel\", \"Andrew, Emily\"], \"text_template_based\": \"I bought some guava, cherres, strawberries, nectarines, apple juice, soda, coffee, paper towel from the grocery store. I saw Andrew, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/01/30?\", \"guava, cherres, strawberries, nectarines, apple juice, soda, coffee, and paper towel\"], [\"what fruits did I buy from the grocery store on 2012/01/30?\", \"guava, cherres, strawberries, nectarines\"], [\"what drinks did I buy from the grocery store on 2012/01/30?\", \"apple juice, soda, coffee\"], [\"what toiletries did I buy from the grocery store on 2012/01/30?\", \"paper towel\"], [\"who did I see at the grocery store on 2012/01/30?\", \"Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3274\", \"logical_representation\": [\"2012/01/30\", \"dinner\", \"steak\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/01/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3275\", \"logical_representation\": [\"2012/01/30\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/01/30?\", \"9 minutes\"], [\"what did I read on 2012/01/30?\", \"news\"], [\"Did I read on 2012/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3276\", \"logical_representation\": [\"2012/01/30\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I watched a documentary for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/01/30?\", \"33 minutes\"], [\"what did I watch on tv on 2012/01/30?\", \"a documentary\"], [\"Did I watch tv on 2012/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/10\": {\"dating\": {\"eid\": \"e3076\", \"logical_representation\": [\"2012/02/10\", \"Ellie\", \"a coffee Shop\"], \"text_template_based\": \"On 2012/02/10, I took Ellie on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/02/10\", \"Ellie\"], [\"where did I go for the date on 2012/02/10\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3324\", \"logical_representation\": [\"2012/02/10\", \"breakfast\", \"toast and cheese\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/02/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3325\", \"logical_representation\": [\"2012/02/10\", \"Claire, Piper, Nevaeh\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Claire, Piper, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Nevaeh in the late afternoon on 2012/02/10?\", \"11 minutes\"], [\"who did I talk to on 2012/02/10?\", \"Claire, Piper, Nevaeh\"], [\"Did I talk to Claire, Piper, Nevaeh on 2012/02/10?\", \"yes\"], [\"Did I talk to anyone on 2012/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3326\", \"logical_representation\": [\"2012/02/10\", \"Eva, Nevaeh, Lydia\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Eva, Nevaeh, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Lydia late in the evening on 2012/02/10?\", \"37 minutes\"], [\"who did I talk to on 2012/02/10?\", \"Eva, Nevaeh, Lydia\"], [\"Did I talk to Eva, Nevaeh, Lydia on 2012/02/10?\", \"yes\"], [\"Did I talk to anyone on 2012/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3327\", \"logical_representation\": [\"2012/02/10\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/10?\", \"50 minutes\"], [\"what did I watch on tv on 2012/02/10?\", \"a movie\"], [\"Did I watch tv on 2012/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/06\": {\"grocery\": {\"eid\": \"e3077\", \"logical_representation\": [\"2012/02/06\", \"I went grocery shopping with Kinsley, Olivia, Piper, Rylee, Nora, Lydia. I bought some mangos, oranges, soda, and toothpaste, shampoo, conditioner, body lotion\", \"mangos, oranges\", \"soda\", \"toothpaste, shampoo, conditioner, body lotion\", \"Kinsley, Olivia, Piper, Rylee, Nora, Lydia\"], \"text_template_based\": \"I went grocery shopping with Kinsley, Olivia, Piper, Rylee, Nora, Lydia. I bought some mangos, oranges, soda, and toothpaste, shampoo, conditioner, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/02/06?\", \"mangos, oranges, soda, and toothpaste, shampoo, conditioner, body lotion\"], [\"what fruits did I buy from the grocery store on 2012/02/06?\", \"mangos, oranges\"], [\"what drinks did I buy from the grocery store on 2012/02/06?\", \"soda\"], [\"what toiletries did I buy from the grocery store on 2012/02/06?\", \"toothpaste, shampoo, conditioner, body lotion\"], [\"who was with me at the grocery store on 2012/02/06?\", \"Kinsley, Olivia, Piper, Rylee, Nora, Lydia\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3306\", \"logical_representation\": [\"2012/02/06\", \"lunch\", \"tacos\", \"Emily, Carter\"], \"text_template_based\": \"I had tacos for lunch with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/02/06?\", \"Emily, Carter\"], [\"what did I eat for lunch on 2012/02/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3307\", \"logical_representation\": [\"2012/02/06\", \"dinner\", \"sushi\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner with Emily, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/02/06?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2012/02/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3308\", \"logical_representation\": [\"2012/02/06\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/02/06?\", \"7 minutes\"], [\"what did I read on 2012/02/06?\", \"social media\"], [\"Did I read on 2012/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3309\", \"logical_representation\": [\"2012/02/06\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/06?\", \"23 minutes\"], [\"what did I watch on tv on 2012/02/06?\", \"a movie\"], [\"Did I watch tv on 2012/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/08\": {\"grocery\": {\"eid\": \"e3078\", \"logical_representation\": [\"2012/02/08\", \"I bought some watermelons, tea, orange juice, facial wash online.\", \"watermelons\", \"tea, orange juice\", \"facial wash\", \"Kayden, Emily\"], \"text_template_based\": \"I bought some watermelons, tea, orange juice, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/02/08?\", \"watermelons, tea, orange juice, and facial wash\"], [\"what fruits did I buy online on 2012/02/08?\", \"watermelons\"], [\"what drinks did I buy online on 2012/02/08?\", \"tea, orange juice\"], [\"what toiletries did I buy online on 2012/02/08?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3314\", \"logical_representation\": [\"2012/02/08\", \"lunch\", \"tacos\", \"Carter, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/02/08?\", \"Carter, Andrew\"], [\"what did I eat for lunch on 2012/02/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3315\", \"logical_representation\": [\"2012/02/08\", \"dinner\", \"sushi\", \"Jackson\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/02/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3316\", \"logical_representation\": [\"2012/02/08\", \"Kinsley, Hazel, Nora\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel, Nora for 43 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Nora in the late afternoon on 2012/02/08?\", \"43 minutes\"], [\"who did I talk to on 2012/02/08?\", \"Kinsley, Hazel, Nora\"], [\"Did I talk to Kinsley, Hazel, Nora on 2012/02/08?\", \"yes\"], [\"Did I talk to anyone on 2012/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3317\", \"logical_representation\": [\"2012/02/08\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/02/08?\", \"52 minutes\"], [\"what did I read on 2012/02/08?\", \"social media\"], [\"Did I read on 2012/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3318\", \"logical_representation\": [\"2012/02/08\", \"news\", \"23 minutes\"], \"text_template_based\": \"I watched news for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/08?\", \"23 minutes\"], [\"what did I watch on tv on 2012/02/08?\", \"news\"], [\"Did I watch tv on 2012/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/14\": {\"dating\": {\"eid\": \"e3079\", \"logical_representation\": [\"2012/02/14\", \"Nicholas\", \"a park\"], \"text_template_based\": \"On 2012/02/14, I took Nicholas on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/02/14\", \"Nicholas\"], [\"where did I go for the date on 2012/02/14\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3080\", \"logical_representation\": [\"2012/02/14\", \"I went grocery shopping. I bought some guava, apricots, soda, pineapple juice, and body lotion, facial wash\", \"guava, apricots\", \"soda, pineapple juice\", \"body lotion, facial wash\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some guava, apricots, soda, pineapple juice, and body lotion, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/02/14?\", \"guava, apricots, soda, pineapple juice, and body lotion, facial wash\"], [\"what fruits did I buy from the grocery store on 2012/02/14?\", \"guava, apricots\"], [\"what drinks did I buy from the grocery store on 2012/02/14?\", \"soda, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2012/02/14?\", \"body lotion, facial wash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3337\", \"logical_representation\": [\"2012/02/14\", \"Kinsley, Nora, Lydia, Eva\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Kinsley, Nora, Lydia, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Lydia, Eva in the late afternoon on 2012/02/14?\", \"30 minutes\"], [\"who did I talk to on 2012/02/14?\", \"Kinsley, Nora, Lydia, Eva\"], [\"Did I talk to Kinsley, Nora, Lydia, Eva on 2012/02/14?\", \"yes\"], [\"Did I talk to anyone on 2012/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3338\", \"logical_representation\": [\"2012/02/14\", \"a movie\", \"8 minutes\"], \"text_template_based\": \"I watched a movie for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/14?\", \"8 minutes\"], [\"what did I watch on tv on 2012/02/14?\", \"a movie\"], [\"Did I watch tv on 2012/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/16\": {\"grocery\": {\"eid\": \"e3081\", \"logical_representation\": [\"2012/02/16\", \"I bought some bananas, blueberries, raspberries, guava juice, pineapple juice, mouth wash from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"bananas, blueberries, raspberries\", \"guava juice, pineapple juice\", \"mouth wash\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I bought some bananas, blueberries, raspberries, guava juice, pineapple juice, mouth wash from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/02/16?\", \"bananas, blueberries, raspberries, guava juice, pineapple juice, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2012/02/16?\", \"bananas, blueberries, raspberries\"], [\"what drinks did I buy from the grocery store on 2012/02/16?\", \"guava juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2012/02/16?\", \"mouth wash\"], [\"who did I see at the grocery store on 2012/02/16?\", \"Emily, Kayden, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3344\", \"logical_representation\": [\"2012/02/16\", \"breakfast\", \"oatmeal\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/02/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3345\", \"logical_representation\": [\"2012/02/16\", \"dinner\", \"sushi\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/02/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3346\", \"logical_representation\": [\"2012/02/16\", \"Piper\", \"in the late afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2012/02/16?\", \"16 minutes\"], [\"who did I talk to on 2012/02/16?\", \"Piper\"], [\"Did I talk to Piper on 2012/02/16?\", \"yes\"], [\"Did I talk to anyone on 2012/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3347\", \"logical_representation\": [\"2012/02/16\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I watched a tv series for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/16?\", \"39 minutes\"], [\"what did I watch on tv on 2012/02/16?\", \"a tv series\"], [\"Did I watch tv on 2012/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/23\": {\"hobbies\": {\"eid\": \"e3083\", \"logical_representation\": [\"2012/02/23\", \"I really enjoyed meditation on 2012/02/23\", \"meditation\", \"Piper, Nevaeh\"], \"text_template_based\": \"I really enjoyed meditation on 2012/02/23\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2012/02/23\"], [\"On 2012/02/23, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3373\", \"logical_representation\": [\"2012/02/23\", \"biking\"], \"text_template_based\": \"I did biking on 2012/02/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/23?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3374\", \"logical_representation\": [\"2012/02/23\", \"lunch\", \"steak\", \"Piper, Layla, Piper, Lydia, Nevaeh, Eva, Rylee, Olivia, Nora, Kinsley\"], \"text_template_based\": \"I had lunch with Piper, Layla, Piper, Lydia, Nevaeh, Eva, Rylee, Olivia, Nora, Kinsley. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/02/23?\", \"Piper, Layla, Piper, Lydia, Nevaeh, Eva, Rylee, Olivia, Nora, Kinsley\"], [\"what did I eat for lunch on 2012/02/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3375\", \"logical_representation\": [\"2012/02/23\", \"dinner\", \"indian food\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/02/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3376\", \"logical_representation\": [\"2012/02/23\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I watched a tv series for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/23?\", \"49 minutes\"], [\"what did I watch on tv on 2012/02/23?\", \"a tv series\"], [\"Did I watch tv on 2012/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/25\": {\"grocery\": {\"eid\": \"e3084\", \"logical_representation\": [\"2012/02/25\", \"I went grocery shopping with Kayden, Emily, Andrew, Carter. I bought some peaches, milk, sports drinks, and toothpaste\", \"peaches\", \"milk, sports drinks\", \"toothpaste\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping with Kayden, Emily, Andrew, Carter. I bought some peaches, milk, sports drinks, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/02/25?\", \"peaches, milk, sports drinks, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2012/02/25?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2012/02/25?\", \"milk, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2012/02/25?\", \"toothpaste\"], [\"who was with me at the grocery store on 2012/02/25?\", \"Kayden, Emily, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3382\", \"logical_representation\": [\"2012/02/25\", \"running\"], \"text_template_based\": \"I did running on 2012/02/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3383\", \"logical_representation\": [\"2012/02/25\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/02/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3384\", \"logical_representation\": [\"2012/02/25\", \"lunch\", \"a burger\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had a burger for lunch with Emily, Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/02/25?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2012/02/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3385\", \"logical_representation\": [\"2012/02/25\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/02/25?\", \"41 minutes\"], [\"what did I read on 2012/02/25?\", \"a book\"], [\"Did I read on 2012/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3386\", \"logical_representation\": [\"2012/02/25\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I watched a tv series for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/25?\", \"20 minutes\"], [\"what did I watch on tv on 2012/02/25?\", \"a tv series\"], [\"Did I watch tv on 2012/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/28\": {\"dating\": {\"eid\": \"e3085\", \"logical_representation\": [\"2012/02/28\", \"Jonathan\", \"a park\"], \"text_template_based\": \"I went on a date with Jonathan on 2012/02/28 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/02/28\", \"Jonathan\"], [\"where did I go for the date on 2012/02/28\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e3087\", \"logical_representation\": [\"2012/02/28\", \"I spent some time learning a language on 2012/02/28.\", \"learning a language\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I spent some time learning a language on 2012/02/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2012/02/28\"], [\"On 2012/02/28, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3089\", \"logical_representation\": [\"2012/02/28\", \"I bought some clementines, oranges, soda, shampoo, facial wash, body lotion from the grocery store. I saw Kayden, Carter, Andrew, Emily at the grocery store.\", \"clementines, oranges\", \"soda\", \"shampoo, facial wash, body lotion\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I bought some clementines, oranges, soda, shampoo, facial wash, body lotion from the grocery store. I saw Kayden, Carter, Andrew, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/02/28?\", \"clementines, oranges, soda, and shampoo, facial wash, body lotion\"], [\"what fruits did I buy from the grocery store on 2012/02/28?\", \"clementines, oranges\"], [\"what drinks did I buy from the grocery store on 2012/02/28?\", \"soda\"], [\"what toiletries did I buy from the grocery store on 2012/02/28?\", \"shampoo, facial wash, body lotion\"], [\"who did I see at the grocery store on 2012/02/28?\", \"Kayden, Carter, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3393\", \"logical_representation\": [\"2012/02/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/02/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3394\", \"logical_representation\": [\"2012/02/28\", \"breakfast\", \"oatmeal\", \"Willow, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/02/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3395\", \"logical_representation\": [\"2012/02/28\", \"Lydia, Nevaeh, Avery\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Lydia, Nevaeh, Avery for 29 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Avery in the early afternoon on 2012/02/28?\", \"29 minutes\"], [\"who did I talk to on 2012/02/28?\", \"Lydia, Nevaeh, Avery\"], [\"Did I talk to Lydia, Nevaeh, Avery on 2012/02/28?\", \"yes\"], [\"Did I talk to anyone on 2012/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3396\", \"logical_representation\": [\"2012/02/28\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I watched a movie for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/28?\", \"6 minutes\"], [\"what did I watch on tv on 2012/02/28?\", \"a movie\"], [\"Did I watch tv on 2012/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/02\": {\"dating\": {\"eid\": \"e3086\", \"logical_representation\": [\"2012/03/02\", \"Parker\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Parker on 2012/03/02 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/03/02\", \"Parker\"], [\"where did I go for the date on 2012/03/02\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3090\", \"logical_representation\": [\"2012/03/02\", \"I went grocery shopping with Hazel, Layla, Piper, Olivia, Eva, Avery, Nora. I bought some blackberries, blueberries, strawberries, mineral water, milk, and shampoo, mouthwash\", \"blackberries, blueberries, strawberries\", \"mineral water, milk\", \"shampoo, mouthwash\", \"Hazel, Layla, Piper, Olivia, Eva, Avery, Nora\"], \"text_template_based\": \"I went grocery shopping with Hazel, Layla, Piper, Olivia, Eva, Avery, Nora. I bought some blackberries, blueberries, strawberries, mineral water, milk, and shampoo, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/03/02?\", \"blackberries, blueberries, strawberries, mineral water, milk, and shampoo, mouthwash\"], [\"what fruits did I buy from the grocery store on 2012/03/02?\", \"blackberries, blueberries, strawberries\"], [\"what drinks did I buy from the grocery store on 2012/03/02?\", \"mineral water, milk\"], [\"what toiletries did I buy from the grocery store on 2012/03/02?\", \"shampoo, mouthwash\"], [\"who was with me at the grocery store on 2012/03/02?\", \"Hazel, Layla, Piper, Olivia, Eva, Avery, Nora\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3407\", \"logical_representation\": [\"2012/03/02\", \"breakfast\", \"toast and cheese\", \"Lydia, Nora, Nevaeh, Olivia, Piper, Rylee, Eva\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/03/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3408\", \"logical_representation\": [\"2012/03/02\", \"dinner\", \"a burger\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had a burger for dinner with Benjamin, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/03/02?\", \"Benjamin, Jackson, Willow\"], [\"what did I eat for dinner on 2012/03/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3409\", \"logical_representation\": [\"2012/03/02\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/03/02?\", \"14 minutes\"], [\"what did I read on 2012/03/02?\", \"news\"], [\"Did I read on 2012/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3410\", \"logical_representation\": [\"2012/03/02\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/02?\", \"31 minutes\"], [\"what did I watch on tv on 2012/03/02?\", \"news\"], [\"Did I watch tv on 2012/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/29\": {\"hobbies\": {\"eid\": \"e3088\", \"logical_representation\": [\"2012/02/29\", \"I spent time learning a language on 2012/02/29 with Olivia.\", \"learning a language\", \"Olivia\"], \"text_template_based\": \"I spent time learning a language on 2012/02/29 with Olivia.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Olivia?\", \"2012/02/29\"], [\"On 2012/02/29, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2012/02/29?\", \"Olivia\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3397\", \"logical_representation\": [\"2012/02/29\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Kayden, Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/02/29?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2012/02/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3398\", \"logical_representation\": [\"2012/02/29\", \"lunch\", \"pasta\", \"Avery\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/02/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3399\", \"logical_representation\": [\"2012/02/29\", \"dinner\", \"pasta\", \"Benjamin, Willow\"], \"text_template_based\": \"I had pasta for dinner with Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/02/29?\", \"Benjamin, Willow\"], [\"what did I eat for dinner on 2012/02/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3400\", \"logical_representation\": [\"2012/02/29\", \"Olivia, Nora, Layla\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Olivia, Nora, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Layla during lunch hours on 2012/02/29?\", \"34 minutes\"], [\"who did I talk to on 2012/02/29?\", \"Olivia, Nora, Layla\"], [\"Did I talk to Olivia, Nora, Layla on 2012/02/29?\", \"yes\"], [\"Did I talk to anyone on 2012/02/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3401\", \"logical_representation\": [\"2012/02/29\", \"Claire, Nevaeh, Layla\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Claire, Nevaeh, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Layla late in the evening on 2012/02/29?\", \"53 minutes\"], [\"who did I talk to on 2012/02/29?\", \"Claire, Nevaeh, Layla\"], [\"Did I talk to Claire, Nevaeh, Layla on 2012/02/29?\", \"yes\"], [\"Did I talk to anyone on 2012/02/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3402\", \"logical_representation\": [\"2012/02/29\", \"a documentary\", \"28 minutes\"], \"text_template_based\": \"I watched a documentary for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/29?\", \"28 minutes\"], [\"what did I watch on tv on 2012/02/29?\", \"a documentary\"], [\"Did I watch tv on 2012/02/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/08\": {\"dating\": {\"eid\": \"e3091\", \"logical_representation\": [\"2012/03/08\", \"Dylan\", \"a boba shop\"], \"text_template_based\": \"On 2012/03/08, I took Dylan on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/03/08\", \"Dylan\"], [\"where did I go for the date on 2012/03/08\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3430\", \"logical_representation\": [\"2012/03/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/03/08?\", \"Carter\"], [\"what did I eat for breakfast on 2012/03/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3431\", \"logical_representation\": [\"2012/03/08\", \"lunch\", \"indian food\", \"Willow\"], \"text_template_based\": \"I had lunch with Willow. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/03/08?\", \"Willow\"], [\"what did I eat for lunch on 2012/03/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3432\", \"logical_representation\": [\"2012/03/08\", \"Eva, Nevaeh, Kinsley, Olivia\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Eva, Nevaeh, Kinsley, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Kinsley, Olivia during lunch hours on 2012/03/08?\", \"51 minutes\"], [\"who did I talk to on 2012/03/08?\", \"Eva, Nevaeh, Kinsley, Olivia\"], [\"Did I talk to Eva, Nevaeh, Kinsley, Olivia on 2012/03/08?\", \"yes\"], [\"Did I talk to anyone on 2012/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3433\", \"logical_representation\": [\"2012/03/08\", \"Piper\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I talked to Piper for 49 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2012/03/08?\", \"49 minutes\"], [\"who did I talk to on 2012/03/08?\", \"Piper\"], [\"Did I talk to Piper on 2012/03/08?\", \"yes\"], [\"Did I talk to anyone on 2012/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3434\", \"logical_representation\": [\"2012/03/08\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/08?\", \"42 minutes\"], [\"what did I watch on tv on 2012/03/08?\", \"a documentary\"], [\"Did I watch tv on 2012/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/04\": {\"hobbies\": {\"eid\": \"e3092\", \"logical_representation\": [\"2012/03/04\", \"I really enjoyed working out on 2012/03/04\", \"working out\", \"Piper, Eva\"], \"text_template_based\": \"I really enjoyed working out on 2012/03/04\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2012/03/04\"], [\"On 2012/03/04, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3416\", \"logical_representation\": [\"2012/03/04\", \"breakfast\", \"toast and cheese\", \"Nora, Lydia, Avery, Hazel\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/03/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3417\", \"logical_representation\": [\"2012/03/04\", \"dinner\", \"fish and chips\", \"Rylee, Eva, Olivia, Nevaeh, Piper, Avery, Claire\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3418\", \"logical_representation\": [\"2012/03/04\", \"Lydia, Hazel, Nora, Kinsley\", \"in the morning\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Lydia, Hazel, Nora, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Nora, Kinsley in the morning on 2012/03/04?\", \"25 minutes\"], [\"who did I talk to on 2012/03/04?\", \"Lydia, Hazel, Nora, Kinsley\"], [\"Did I talk to Lydia, Hazel, Nora, Kinsley on 2012/03/04?\", \"yes\"], [\"Did I talk to anyone on 2012/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3419\", \"logical_representation\": [\"2012/03/04\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/04?\", \"28 minutes\"], [\"what did I watch on tv on 2012/03/04?\", \"a movie\"], [\"Did I watch tv on 2012/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/06\": {\"grocery\": {\"eid\": \"e3093\", \"logical_representation\": [\"2012/03/06\", \"I bought some blueberries, strawberries, pears, apricots, soda, mouth wash, conditioner, toothbrush online.\", \"blueberries, strawberries, pears, apricots\", \"soda\", \"mouth wash, conditioner, toothbrush\", \"Carter\"], \"text_template_based\": \"I bought some blueberries, strawberries, pears, apricots, soda, mouth wash, conditioner, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/03/06?\", \"blueberries, strawberries, pears, apricots, soda, and mouth wash, conditioner, toothbrush\"], [\"what fruits did I buy online on 2012/03/06?\", \"blueberries, strawberries, pears, apricots\"], [\"what drinks did I buy online on 2012/03/06?\", \"soda\"], [\"what toiletries did I buy online on 2012/03/06?\", \"mouth wash, conditioner, toothbrush\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3422\", \"logical_representation\": [\"2012/03/06\", \"lunch\", \"sushi\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had sushi for lunch with Emily, Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/03/06?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2012/03/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3423\", \"logical_representation\": [\"2012/03/06\", \"dinner\", \"pasta\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3424\", \"logical_representation\": [\"2012/03/06\", \"Piper, Piper, Nora\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Piper, Piper, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Nora in the late afternoon on 2012/03/06?\", \"51 minutes\"], [\"who did I talk to on 2012/03/06?\", \"Piper, Piper, Nora\"], [\"Did I talk to Piper, Piper, Nora on 2012/03/06?\", \"yes\"], [\"Did I talk to anyone on 2012/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3425\", \"logical_representation\": [\"2012/03/06\", \"Kinsley, Piper, Nora\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Nora for 27 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Nora in the early afternoon on 2012/03/06?\", \"27 minutes\"], [\"who did I talk to on 2012/03/06?\", \"Kinsley, Piper, Nora\"], [\"Did I talk to Kinsley, Piper, Nora on 2012/03/06?\", \"yes\"], [\"Did I talk to anyone on 2012/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3426\", \"logical_representation\": [\"2012/03/06\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/03/06?\", \"46 minutes\"], [\"what did I read on 2012/03/06?\", \"a book\"], [\"Did I read on 2012/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/15\": {\"grocery\": {\"eid\": \"e3094\", \"logical_representation\": [\"2012/03/15\", \"I bought some pears, chocolate milk, mango juice, mouth wash, conditioner from the grocery store. I saw Kayden at the grocery store.\", \"pears\", \"chocolate milk, mango juice\", \"mouth wash, conditioner\", \"Kayden\"], \"text_template_based\": \"I bought some pears, chocolate milk, mango juice, mouth wash, conditioner from the grocery store. I saw Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/03/15?\", \"pears, chocolate milk, mango juice, and mouth wash, conditioner\"], [\"what fruits did I buy from the grocery store on 2012/03/15?\", \"pears\"], [\"what drinks did I buy from the grocery store on 2012/03/15?\", \"chocolate milk, mango juice\"], [\"what toiletries did I buy from the grocery store on 2012/03/15?\", \"mouth wash, conditioner\"], [\"who did I see at the grocery store on 2012/03/15?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3460\", \"logical_representation\": [\"2012/03/15\", \"biking\"], \"text_template_based\": \"I did biking on 2012/03/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3461\", \"logical_representation\": [\"2012/03/15\", \"breakfast\", \"oatmeal\", \"Willow, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/03/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3462\", \"logical_representation\": [\"2012/03/15\", \"dinner\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had sandwich for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/03/15?\", \"Emily\"], [\"what did I eat for dinner on 2012/03/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3463\", \"logical_representation\": [\"2012/03/15\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/03/15?\", \"11 minutes\"], [\"what did I read on 2012/03/15?\", \"news\"], [\"Did I read on 2012/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/18\": {\"dating\": {\"eid\": \"e3095\", \"logical_representation\": [\"2012/03/18\", \"Gianna\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Gianna on 2012/03/18 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/03/18\", \"Gianna\"], [\"where did I go for the date on 2012/03/18\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3473\", \"logical_representation\": [\"2012/03/18\", \"lunch\", \"indian food\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had indian food for lunch with Andrew, Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/03/18?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2012/03/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3474\", \"logical_representation\": [\"2012/03/18\", \"dinner\", \"tacos\", \"Piper, Claire, Rylee, Piper\"], \"text_template_based\": \"I had dinner with Piper, Claire, Rylee, Piper. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/03/18?\", \"Piper, Claire, Rylee, Piper\"], [\"what did I eat for dinner on 2012/03/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3475\", \"logical_representation\": [\"2012/03/18\", \"Piper, Piper, Rylee\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Piper, Piper, Rylee for 6 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Rylee late in the evening on 2012/03/18?\", \"6 minutes\"], [\"who did I talk to on 2012/03/18?\", \"Piper, Piper, Rylee\"], [\"Did I talk to Piper, Piper, Rylee on 2012/03/18?\", \"yes\"], [\"Did I talk to anyone on 2012/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3476\", \"logical_representation\": [\"2012/03/18\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/03/18?\", \"34 minutes\"], [\"what did I read on 2012/03/18?\", \"news\"], [\"Did I read on 2012/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/21\": {\"grocery\": {\"eid\": \"e3096\", \"logical_representation\": [\"2012/03/21\", \"I bought some clementines, mandarins, coffee, shampoo online.\", \"clementines, mandarins\", \"coffee\", \"shampoo\", \"Layla, Nevaeh, Kinsley, Olivia, Piper, Eva, Avery, Rylee, Claire, Lydia\"], \"text_template_based\": \"I bought some clementines, mandarins, coffee, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/03/21?\", \"clementines, mandarins, coffee, and shampoo\"], [\"what fruits did I buy online on 2012/03/21?\", \"clementines, mandarins\"], [\"what drinks did I buy online on 2012/03/21?\", \"coffee\"], [\"what toiletries did I buy online on 2012/03/21?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3483\", \"logical_representation\": [\"2012/03/21\", \"running\"], \"text_template_based\": \"I did running on 2012/03/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3484\", \"logical_representation\": [\"2012/03/21\", \"lunch\", \"steak\", \"Willow\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/03/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3485\", \"logical_representation\": [\"2012/03/21\", \"dinner\", \"chinese food\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2012/03/27\": {\"hobbies\": {\"eid\": \"e3097\", \"logical_representation\": [\"2012/03/27\", \"I really enjoyed gardening on 2012/03/27\", \"gardening\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I really enjoyed gardening on 2012/03/27\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2012/03/27\"], [\"On 2012/03/27, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3502\", \"logical_representation\": [\"2012/03/27\", \"lunch\", \"sushi\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Emily, Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/03/27?\", \"Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2012/03/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3503\", \"logical_representation\": [\"2012/03/27\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/03/27?\", \"18 minutes\"], [\"what did I read on 2012/03/27?\", \"news\"], [\"Did I read on 2012/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3504\", \"logical_representation\": [\"2012/03/27\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/27?\", \"53 minutes\"], [\"what did I watch on tv on 2012/03/27?\", \"a movie\"], [\"Did I watch tv on 2012/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/25\": {\"grocery\": {\"eid\": \"e3098\", \"logical_representation\": [\"2012/03/25\", \"I bought some nectarines, mangos, mandarins, mineral water, soda, shaving cream, mouthwash from the grocery store. I saw Piper, Avery, Claire at the grocery store.\", \"nectarines, mangos, mandarins\", \"mineral water, soda\", \"shaving cream, mouthwash\", \"Piper, Avery, Claire\"], \"text_template_based\": \"I bought some nectarines, mangos, mandarins, mineral water, soda, shaving cream, mouthwash from the grocery store. I saw Piper, Avery, Claire at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/03/25?\", \"nectarines, mangos, mandarins, mineral water, soda, and shaving cream, mouthwash\"], [\"what fruits did I buy from the grocery store on 2012/03/25?\", \"nectarines, mangos, mandarins\"], [\"what drinks did I buy from the grocery store on 2012/03/25?\", \"mineral water, soda\"], [\"what toiletries did I buy from the grocery store on 2012/03/25?\", \"shaving cream, mouthwash\"], [\"who did I see at the grocery store on 2012/03/25?\", \"Piper, Avery, Claire\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3494\", \"logical_representation\": [\"2012/03/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/03/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3495\", \"logical_representation\": [\"2012/03/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/03/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3496\", \"logical_representation\": [\"2012/03/25\", \"dinner\", \"sandwich\", \"Nora, Eva, Kinsley, Piper, Nevaeh, Layla, Hazel, Piper, Avery, Rylee\"], \"text_template_based\": \"I had sandwich for dinner with Nora, Eva, Kinsley, Piper, Nevaeh, Layla, Hazel, Piper, Avery, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/03/25?\", \"Nora, Eva, Kinsley, Piper, Nevaeh, Layla, Hazel, Piper, Avery, Rylee\"], [\"what did I eat for dinner on 2012/03/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3497\", \"logical_representation\": [\"2012/03/25\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/03/25?\", \"19 minutes\"], [\"what did I read on 2012/03/25?\", \"social media\"], [\"Did I read on 2012/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3498\", \"logical_representation\": [\"2012/03/25\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/25?\", \"5 minutes\"], [\"what did I watch on tv on 2012/03/25?\", \"a movie\"], [\"Did I watch tv on 2012/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/31\": {\"grocery\": {\"eid\": \"e3099\", \"logical_representation\": [\"2012/03/31\", \"I bought some blueberries, clementines, watermelons, coffee, pineapple juice, milk, toothbrush, conditioner, toilet paper, paper towel from the grocery store. I saw Piper, Piper, Rylee, Avery, Layla, Hazel, Lydia, Kinsley, Eva, Nevaeh at the grocery store.\", \"blueberries, clementines, watermelons\", \"coffee, pineapple juice, milk\", \"toothbrush, conditioner, toilet paper, paper towel\", \"Piper, Piper, Rylee, Avery, Layla, Hazel, Lydia, Kinsley, Eva, Nevaeh\"], \"text_template_based\": \"I bought some blueberries, clementines, watermelons, coffee, pineapple juice, milk, toothbrush, conditioner, toilet paper, paper towel from the grocery store. I saw Piper, Piper, Rylee, Avery, Layla, Hazel, Lydia, Kinsley, Eva, Nevaeh at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/03/31?\", \"blueberries, clementines, watermelons, coffee, pineapple juice, milk, and toothbrush, conditioner, toilet paper, paper towel\"], [\"what fruits did I buy from the grocery store on 2012/03/31?\", \"blueberries, clementines, watermelons\"], [\"what drinks did I buy from the grocery store on 2012/03/31?\", \"coffee, pineapple juice, milk\"], [\"what toiletries did I buy from the grocery store on 2012/03/31?\", \"toothbrush, conditioner, toilet paper, paper towel\"], [\"who did I see at the grocery store on 2012/03/31?\", \"Piper, Piper, Rylee, Avery, Layla, Hazel, Lydia, Kinsley, Eva, Nevaeh\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3518\", \"logical_representation\": [\"2012/03/31\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/31?\", \"36 minutes\"], [\"what did I watch on tv on 2012/03/31?\", \"a documentary\"], [\"Did I watch tv on 2012/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/07\": {\"grocery\": {\"eid\": \"e3100\", \"logical_representation\": [\"2012/04/07\", \"I bought some clementines, raspberries, guava, milk, chocolate milk, mineral water, guava juice, toothbrush from the grocery store. I saw Kayden, Andrew at the grocery store.\", \"clementines, raspberries, guava\", \"milk, chocolate milk, mineral water, guava juice\", \"toothbrush\", \"Kayden, Andrew\"], \"text_template_based\": \"I bought some clementines, raspberries, guava, milk, chocolate milk, mineral water, guava juice, toothbrush from the grocery store. I saw Kayden, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/04/07?\", \"clementines, raspberries, guava, milk, chocolate milk, mineral water, guava juice, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2012/04/07?\", \"clementines, raspberries, guava\"], [\"what drinks did I buy from the grocery store on 2012/04/07?\", \"milk, chocolate milk, mineral water, guava juice\"], [\"what toiletries did I buy from the grocery store on 2012/04/07?\", \"toothbrush\"], [\"who did I see at the grocery store on 2012/04/07?\", \"Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3538\", \"logical_representation\": [\"2012/04/07\", \"breakfast\", \"oatmeal\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/04/07?\", \"Andrew\"], [\"what did I eat for breakfast on 2012/04/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3539\", \"logical_representation\": [\"2012/04/07\", \"dinner\", \"a burger\", \"Avery, Nevaeh, Layla, Kinsley, Rylee, Piper, Olivia\"], \"text_template_based\": \"I had a burger for dinner with Avery, Nevaeh, Layla, Kinsley, Rylee, Piper, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/07?\", \"Avery, Nevaeh, Layla, Kinsley, Rylee, Piper, Olivia\"], [\"what did I eat for dinner on 2012/04/07\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2012/04/17\": {\"dating\": {\"eid\": \"e3101\", \"logical_representation\": [\"2012/04/17\", \"Silas\", \"a park\"], \"text_template_based\": \"On 2012/04/17, I took Silas on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/04/17\", \"Silas\"], [\"where did I go for the date on 2012/04/17\", \"a park\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3578\", \"logical_representation\": [\"2012/04/17\", \"lunch\", \"steak\", \"Layla, Kinsley, Piper, Claire, Eva, Rylee, Lydia, Hazel, Piper\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/04/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3579\", \"logical_representation\": [\"2012/04/17\", \"dinner\", \"tacos\", \"Piper, Nora, Layla, Eva, Piper, Rylee, Hazel, Kinsley\"], \"text_template_based\": \"I had tacos for dinner with Piper, Nora, Layla, Eva, Piper, Rylee, Hazel, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/17?\", \"Piper, Nora, Layla, Eva, Piper, Rylee, Hazel, Kinsley\"], [\"what did I eat for dinner on 2012/04/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3580\", \"logical_representation\": [\"2012/04/17\", \"Lydia, Eva, Nora, Rylee\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva, Nora, Rylee for 39 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Nora, Rylee during lunch hours on 2012/04/17?\", \"39 minutes\"], [\"who did I talk to on 2012/04/17?\", \"Lydia, Eva, Nora, Rylee\"], [\"Did I talk to Lydia, Eva, Nora, Rylee on 2012/04/17?\", \"yes\"], [\"Did I talk to anyone on 2012/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3581\", \"logical_representation\": [\"2012/04/17\", \"Claire, Kinsley, Nora, Piper\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Claire, Kinsley, Nora, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Nora, Piper in the late afternoon on 2012/04/17?\", \"27 minutes\"], [\"who did I talk to on 2012/04/17?\", \"Claire, Kinsley, Nora, Piper\"], [\"Did I talk to Claire, Kinsley, Nora, Piper on 2012/04/17?\", \"yes\"], [\"Did I talk to anyone on 2012/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3582\", \"logical_representation\": [\"2012/04/17\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/17?\", \"36 minutes\"], [\"what did I watch on tv on 2012/04/17?\", \"a movie\"], [\"Did I watch tv on 2012/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/24\": {\"dating\": {\"eid\": \"e3104\", \"logical_representation\": [\"2012/05/24\", \"Scarlett\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Scarlett on 2012/05/24 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/05/24\", \"Scarlett\"], [\"where did I go for the date on 2012/05/24\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3720\", \"logical_representation\": [\"2012/05/24\", \"dinner\", \"pasta\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3721\", \"logical_representation\": [\"2012/05/24\", \"Eva, Nora, Hazel, Claire\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Eva, Nora, Hazel, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Hazel, Claire in the early evening on 2012/05/24?\", \"17 minutes\"], [\"who did I talk to on 2012/05/24?\", \"Eva, Nora, Hazel, Claire\"], [\"Did I talk to Eva, Nora, Hazel, Claire on 2012/05/24?\", \"yes\"], [\"Did I talk to anyone on 2012/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3722\", \"logical_representation\": [\"2012/05/24\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/05/24?\", \"38 minutes\"], [\"what did I read on 2012/05/24?\", \"social media\"], [\"Did I read on 2012/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/20\": {\"hobbies\": {\"eid\": \"e3105\", \"logical_representation\": [\"2012/05/20\", \"I spent some time meditation on 2012/05/20.\", \"meditation\", \"Andrew, Kayden\"], \"text_template_based\": \"I spent some time meditation on 2012/05/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2012/05/20\"], [\"On 2012/05/20, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3700\", \"logical_representation\": [\"2012/05/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/05/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3701\", \"logical_representation\": [\"2012/05/20\", \"dinner\", \"sandwich\", \"Layla, Piper, Piper, Hazel, Avery, Kinsley, Nora, Nevaeh, Claire\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3702\", \"logical_representation\": [\"2012/05/20\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/05/20?\", \"33 minutes\"], [\"what did I read on 2012/05/20?\", \"social media\"], [\"Did I read on 2012/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3703\", \"logical_representation\": [\"2012/05/20\", \"news\", \"23 minutes\"], \"text_template_based\": \"I watched news for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/20?\", \"23 minutes\"], [\"what did I watch on tv on 2012/05/20?\", \"news\"], [\"Did I watch tv on 2012/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/02\": {\"dating\": {\"eid\": \"e3106\", \"logical_representation\": [\"2012/06/02\", \"Levi\", \"a park\"], \"text_template_based\": \"I went on a date with Levi on 2012/06/02 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/06/02\", \"Levi\"], [\"where did I go for the date on 2012/06/02\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3757\", \"logical_representation\": [\"2012/06/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/06/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3758\", \"logical_representation\": [\"2012/06/02\", \"breakfast\", \"cereals\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Kayden, Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/06/02?\", \"Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2012/06/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3759\", \"logical_representation\": [\"2012/06/02\", \"lunch\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/06/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3760\", \"logical_representation\": [\"2012/06/02\", \"news\", \"39 minutes\"], \"text_template_based\": \"I watched news for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/02?\", \"39 minutes\"], [\"what did I watch on tv on 2012/06/02?\", \"news\"], [\"Did I watch tv on 2012/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/31\": {\"grocery\": {\"eid\": \"e3107\", \"logical_representation\": [\"2012/05/31\", \"I went grocery shopping with Benjamin. I bought some apples, strawberries, nectarines, cherres, orange juice, and toothbrush, toilet paper\", \"apples, strawberries, nectarines, cherres\", \"orange juice\", \"toothbrush, toilet paper\", \"Benjamin\"], \"text_template_based\": \"I went grocery shopping with Benjamin. I bought some apples, strawberries, nectarines, cherres, orange juice, and toothbrush, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/05/31?\", \"apples, strawberries, nectarines, cherres, orange juice, and toothbrush, toilet paper\"], [\"what fruits did I buy from the grocery store on 2012/05/31?\", \"apples, strawberries, nectarines, cherres\"], [\"what drinks did I buy from the grocery store on 2012/05/31?\", \"orange juice\"], [\"what toiletries did I buy from the grocery store on 2012/05/31?\", \"toothbrush, toilet paper\"], [\"who was with me at the grocery store on 2012/05/31?\", \"Benjamin\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3745\", \"logical_representation\": [\"2012/05/31\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Benjamin, Willow. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/05/31?\", \"Jackson, Benjamin, Willow\"], [\"what did I eat for breakfast on 2012/05/31\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3746\", \"logical_representation\": [\"2012/05/31\", \"lunch\", \"chinese food\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had lunch with Benjamin, Willow, Jackson, Avery. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/05/31?\", \"Benjamin, Willow, Jackson, Avery\"], [\"what did I eat for lunch on 2012/05/31\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3747\", \"logical_representation\": [\"2012/05/31\", \"dinner\", \"steak\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3748\", \"logical_representation\": [\"2012/05/31\", \"Avery\", \"in the late afternoon\", \"21 minutes\"], \"text_template_based\": \"I talked to Avery for 21 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2012/05/31?\", \"21 minutes\"], [\"who did I talk to on 2012/05/31?\", \"Avery\"], [\"Did I talk to Avery on 2012/05/31?\", \"yes\"], [\"Did I talk to anyone on 2012/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3749\", \"logical_representation\": [\"2012/05/31\", \"a documentary\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/31?\", \"18 minutes\"], [\"what did I watch on tv on 2012/05/31?\", \"a documentary\"], [\"Did I watch tv on 2012/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/06\": {\"dating\": {\"eid\": \"e3108\", \"logical_representation\": [\"2012/06/06\", \"Athena\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Athena on 2012/06/06 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/06/06\", \"Athena\"], [\"where did I go for the date on 2012/06/06\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3770\", \"logical_representation\": [\"2012/06/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/06/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3771\", \"logical_representation\": [\"2012/06/06\", \"lunch\", \"a burger\", \"Avery, Piper, Eva, Lydia, Piper, Olivia, Nora, Hazel, Nevaeh\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/06/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3772\", \"logical_representation\": [\"2012/06/06\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/06/06?\", \"51 minutes\"], [\"what did I read on 2012/06/06?\", \"social media\"], [\"Did I read on 2012/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3773\", \"logical_representation\": [\"2012/06/06\", \"news\", \"5 minutes\"], \"text_template_based\": \"I watched news for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/06?\", \"5 minutes\"], [\"what did I watch on tv on 2012/06/06?\", \"news\"], [\"Did I watch tv on 2012/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/04\": {\"grocery\": {\"eid\": \"e3109\", \"logical_representation\": [\"2012/06/04\", \"I bought some blackberries, bananas, pineapple juice, mineral water, coffee, toothbrush, toothpaste online.\", \"blackberries, bananas\", \"pineapple juice, mineral water, coffee\", \"toothbrush, toothpaste\", \"Rylee, Nora, Claire, Nevaeh, Eva, Avery, Olivia, Piper, Layla, Piper, Lydia, Hazel, Kinsley\"], \"text_template_based\": \"I bought some blackberries, bananas, pineapple juice, mineral water, coffee, toothbrush, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/06/04?\", \"blackberries, bananas, pineapple juice, mineral water, coffee, and toothbrush, toothpaste\"], [\"what fruits did I buy online on 2012/06/04?\", \"blackberries, bananas\"], [\"what drinks did I buy online on 2012/06/04?\", \"pineapple juice, mineral water, coffee\"], [\"what toiletries did I buy online on 2012/06/04?\", \"toothbrush, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3762\", \"logical_representation\": [\"2012/06/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/06/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3763\", \"logical_representation\": [\"2012/06/04\", \"breakfast\", \"oatmeal\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/06/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3764\", \"logical_representation\": [\"2012/06/04\", \"dinner\", \"indian food\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/06/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3765\", \"logical_representation\": [\"2012/06/04\", \"Layla\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2012/06/04?\", \"18 minutes\"], [\"who did I talk to on 2012/06/04?\", \"Layla\"], [\"Did I talk to Layla on 2012/06/04?\", \"yes\"], [\"Did I talk to anyone on 2012/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3766\", \"logical_representation\": [\"2012/06/04\", \"Layla, Lydia, Kinsley, Olivia\", \"late in the evening\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Layla, Lydia, Kinsley, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Kinsley, Olivia late in the evening on 2012/06/04?\", \"27 minutes\"], [\"who did I talk to on 2012/06/04?\", \"Layla, Lydia, Kinsley, Olivia\"], [\"Did I talk to Layla, Lydia, Kinsley, Olivia on 2012/06/04?\", \"yes\"], [\"Did I talk to anyone on 2012/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/07\": {\"grocery\": {\"eid\": \"e3110\", \"logical_representation\": [\"2012/06/07\", \"I bought some apples, bananas, guava juice, soda, pineapple juice, coffee, toilet paper, facial wash, toothbrush, mouth wash from the grocery store. I saw Nevaeh at the grocery store.\", \"apples, bananas\", \"guava juice, soda, pineapple juice, coffee\", \"toilet paper, facial wash, toothbrush, mouth wash\", \"Nevaeh\"], \"text_template_based\": \"I bought some apples, bananas, guava juice, soda, pineapple juice, coffee, toilet paper, facial wash, toothbrush, mouth wash from the grocery store. I saw Nevaeh at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/06/07?\", \"apples, bananas, guava juice, soda, pineapple juice, coffee, and toilet paper, facial wash, toothbrush, mouth wash\"], [\"what fruits did I buy from the grocery store on 2012/06/07?\", \"apples, bananas\"], [\"what drinks did I buy from the grocery store on 2012/06/07?\", \"guava juice, soda, pineapple juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2012/06/07?\", \"toilet paper, facial wash, toothbrush, mouth wash\"], [\"who did I see at the grocery store on 2012/06/07?\", \"Nevaeh\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3774\", \"logical_representation\": [\"2012/06/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/06/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2012/06/16\": {\"grocery\": {\"eid\": \"e3111\", \"logical_representation\": [\"2012/06/16\", \"I went grocery shopping. I bought some cherres, apples, guava, guava juice, tea, and facial wash, paper towel, toilet paper\", \"cherres, apples, guava\", \"guava juice, tea\", \"facial wash, paper towel, toilet paper\", \"Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some cherres, apples, guava, guava juice, tea, and facial wash, paper towel, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/06/16?\", \"cherres, apples, guava, guava juice, tea, and facial wash, paper towel, toilet paper\"], [\"what fruits did I buy from the grocery store on 2012/06/16?\", \"cherres, apples, guava\"], [\"what drinks did I buy from the grocery store on 2012/06/16?\", \"guava juice, tea\"], [\"what toiletries did I buy from the grocery store on 2012/06/16?\", \"facial wash, paper towel, toilet paper\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3800\", \"logical_representation\": [\"2012/06/16\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/06/16?\", \"39 minutes\"], [\"what did I read on 2012/06/16?\", \"social media\"], [\"Did I read on 2012/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/18\": {\"dating\": {\"eid\": \"e3112\", \"logical_representation\": [\"2012/06/18\", \"Charlotte\", \"a boba shop\"], \"text_template_based\": \"On 2012/06/18, I took Charlotte on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/06/18\", \"Charlotte\"], [\"where did I go for the date on 2012/06/18\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3804\", \"logical_representation\": [\"2012/06/18\", \"dinner\", \"steak\", \"Lydia, Nora, Nevaeh, Olivia, Rylee, Kinsley, Piper, Piper\"], \"text_template_based\": \"I had dinner with Lydia, Nora, Nevaeh, Olivia, Rylee, Kinsley, Piper, Piper. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/06/18?\", \"Lydia, Nora, Nevaeh, Olivia, Rylee, Kinsley, Piper, Piper\"], [\"what did I eat for dinner on 2012/06/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3805\", \"logical_representation\": [\"2012/06/18\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/06/18?\", \"35 minutes\"], [\"what did I read on 2012/06/18?\", \"social media\"], [\"Did I read on 2012/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/20\": {\"dating\": {\"eid\": \"e3113\", \"logical_representation\": [\"2012/06/20\", \"Elizabeth\", \"a boba shop\"], \"text_template_based\": \"On 2012/06/20, I took Elizabeth on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/06/20\", \"Elizabeth\"], [\"where did I go for the date on 2012/06/20\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3809\", \"logical_representation\": [\"2012/06/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/06/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3810\", \"logical_representation\": [\"2012/06/20\", \"breakfast\", \"cereals\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/06/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3811\", \"logical_representation\": [\"2012/06/20\", \"dinner\", \"pasta\", \"Hazel, Nora, Kinsley, Piper, Lydia, Piper, Eva, Avery, Olivia\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/06/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3812\", \"logical_representation\": [\"2012/06/20\", \"Lydia, Hazel\", \"in the early evening\", \"54 minutes\"], \"text_template_based\": \"I talked to Lydia, Hazel for 54 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel in the early evening on 2012/06/20?\", \"54 minutes\"], [\"who did I talk to on 2012/06/20?\", \"Lydia, Hazel\"], [\"Did I talk to Lydia, Hazel on 2012/06/20?\", \"yes\"], [\"Did I talk to anyone on 2012/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3813\", \"logical_representation\": [\"2012/06/20\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/06/20?\", \"39 minutes\"], [\"what did I read on 2012/06/20?\", \"a book\"], [\"Did I read on 2012/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/17\": {\"grocery\": {\"eid\": \"e3114\", \"logical_representation\": [\"2012/06/17\", \"I went grocery shopping. I bought some nectarines, oranges, guava, mangos, apple juice, sports drinks, and shampoo\", \"nectarines, oranges, guava, mangos\", \"apple juice, sports drinks\", \"shampoo\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some nectarines, oranges, guava, mangos, apple juice, sports drinks, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/06/17?\", \"nectarines, oranges, guava, mangos, apple juice, sports drinks, and shampoo\"], [\"what fruits did I buy from the grocery store on 2012/06/17?\", \"nectarines, oranges, guava, mangos\"], [\"what drinks did I buy from the grocery store on 2012/06/17?\", \"apple juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2012/06/17?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3801\", \"logical_representation\": [\"2012/06/17\", \"lunch\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/06/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3802\", \"logical_representation\": [\"2012/06/17\", \"dinner\", \"sandwich\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/06/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3803\", \"logical_representation\": [\"2012/06/17\", \"Nora\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I talked to Nora for 35 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2012/06/17?\", \"35 minutes\"], [\"who did I talk to on 2012/06/17?\", \"Nora\"], [\"Did I talk to Nora on 2012/06/17?\", \"yes\"], [\"Did I talk to anyone on 2012/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/22\": {\"grocery\": {\"eid\": \"e3115\", \"logical_representation\": [\"2012/06/22\", \"I bought some cherres, strawberries, apple juice, toothpaste, shampoo, toilet paper from the grocery store. I saw Nora, Layla at the grocery store.\", \"cherres, strawberries\", \"apple juice\", \"toothpaste, shampoo, toilet paper\", \"Nora, Layla\"], \"text_template_based\": \"I bought some cherres, strawberries, apple juice, toothpaste, shampoo, toilet paper from the grocery store. I saw Nora, Layla at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/06/22?\", \"cherres, strawberries, apple juice, and toothpaste, shampoo, toilet paper\"], [\"what fruits did I buy from the grocery store on 2012/06/22?\", \"cherres, strawberries\"], [\"what drinks did I buy from the grocery store on 2012/06/22?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2012/06/22?\", \"toothpaste, shampoo, toilet paper\"], [\"who did I see at the grocery store on 2012/06/22?\", \"Nora, Layla\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3817\", \"logical_representation\": [\"2012/06/22\", \"breakfast\", \"cereals\", \"Hazel, Piper, Eva, Layla, Claire\"], \"text_template_based\": \"I had cereals for breakfast with Hazel, Piper, Eva, Layla, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/06/22?\", \"Hazel, Piper, Eva, Layla, Claire\"], [\"what did I eat for breakfast on 2012/06/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3818\", \"logical_representation\": [\"2012/06/22\", \"lunch\", \"chinese food\", \"Olivia, Layla, Eva, Kinsley, Piper, Piper, Avery, Rylee\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/06/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3819\", \"logical_representation\": [\"2012/06/22\", \"dinner\", \"sushi\", \"Carter\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/06/22\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3820\", \"logical_representation\": [\"2012/06/22\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/22?\", \"9 minutes\"], [\"what did I watch on tv on 2012/06/22?\", \"a documentary\"], [\"Did I watch tv on 2012/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/29\": {\"hobbies\": {\"eid\": \"e3116\", \"logical_representation\": [\"2012/06/29\", \"I spent time yoga on 2012/06/29 with Nora.\", \"yoga\", \"Nora\"], \"text_template_based\": \"I spent time yoga on 2012/06/29 with Nora.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Nora?\", \"2012/06/29\"], [\"On 2012/06/29, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2012/06/29?\", \"Nora\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3850\", \"logical_representation\": [\"2012/06/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/06/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3851\", \"logical_representation\": [\"2012/06/29\", \"lunch\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/06/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3852\", \"logical_representation\": [\"2012/06/29\", \"dinner\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/06/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3853\", \"logical_representation\": [\"2012/06/29\", \"Lydia, Rylee\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee for 32 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee in the early afternoon on 2012/06/29?\", \"32 minutes\"], [\"who did I talk to on 2012/06/29?\", \"Lydia, Rylee\"], [\"Did I talk to Lydia, Rylee on 2012/06/29?\", \"yes\"], [\"Did I talk to anyone on 2012/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3854\", \"logical_representation\": [\"2012/06/29\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/06/29?\", \"19 minutes\"], [\"what did I read on 2012/06/29?\", \"a book\"], [\"Did I read on 2012/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/26\": {\"grocery\": {\"eid\": \"e3117\", \"logical_representation\": [\"2012/06/26\", \"I went grocery shopping with Andrew, Emily, Carter, Kayden. I bought some mangos, soda, and paper towel, shaving cream, facial wash\", \"mangos\", \"soda\", \"paper towel, shaving cream, facial wash\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I went grocery shopping with Andrew, Emily, Carter, Kayden. I bought some mangos, soda, and paper towel, shaving cream, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/06/26?\", \"mangos, soda, and paper towel, shaving cream, facial wash\"], [\"what fruits did I buy from the grocery store on 2012/06/26?\", \"mangos\"], [\"what drinks did I buy from the grocery store on 2012/06/26?\", \"soda\"], [\"what toiletries did I buy from the grocery store on 2012/06/26?\", \"paper towel, shaving cream, facial wash\"], [\"who was with me at the grocery store on 2012/06/26?\", \"Andrew, Emily, Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3836\", \"logical_representation\": [\"2012/06/26\", \"breakfast\", \"peanut-butter-jam\", \"Nevaeh, Nora, Claire, Layla, Hazel, Rylee, Kinsley, Olivia, Piper\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/06/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3837\", \"logical_representation\": [\"2012/06/26\", \"lunch\", \"tacos\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/06/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3838\", \"logical_representation\": [\"2012/06/26\", \"dinner\", \"sushi\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/06/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3839\", \"logical_representation\": [\"2012/06/26\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/26?\", \"43 minutes\"], [\"what did I watch on tv on 2012/06/26?\", \"a movie\"], [\"Did I watch tv on 2012/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/27\": {\"grocery\": {\"eid\": \"e3118\", \"logical_representation\": [\"2012/06/27\", \"I went grocery shopping. I bought some blackberries, mangos, cherres, guava, sports drinks, and toothbrush, paper towel, mouth wash, conditioner\", \"blackberries, mangos, cherres, guava\", \"sports drinks\", \"toothbrush, paper towel, mouth wash, conditioner\", \"Kinsley, Hazel, Piper, Claire, Olivia, Nora, Lydia, Piper, Avery, Layla\"], \"text_template_based\": \"I went grocery shopping. I bought some blackberries, mangos, cherres, guava, sports drinks, and toothbrush, paper towel, mouth wash, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/06/27?\", \"blackberries, mangos, cherres, guava, sports drinks, and toothbrush, paper towel, mouth wash, conditioner\"], [\"what fruits did I buy from the grocery store on 2012/06/27?\", \"blackberries, mangos, cherres, guava\"], [\"what drinks did I buy from the grocery store on 2012/06/27?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2012/06/27?\", \"toothbrush, paper towel, mouth wash, conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3840\", \"logical_representation\": [\"2012/06/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/06/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3841\", \"logical_representation\": [\"2012/06/27\", \"breakfast\", \"toast and cheese\", \"Avery\"], \"text_template_based\": \"I had breakfast with Avery. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/06/27?\", \"Avery\"], [\"what did I eat for breakfast on 2012/06/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3842\", \"logical_representation\": [\"2012/06/27\", \"lunch\", \"indian food\", \"Olivia, Eva, Layla, Avery, Nevaeh, Piper, Hazel, Lydia, Nora, Rylee\"], \"text_template_based\": \"I had lunch with Olivia, Eva, Layla, Avery, Nevaeh, Piper, Hazel, Lydia, Nora, Rylee. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/06/27?\", \"Olivia, Eva, Layla, Avery, Nevaeh, Piper, Hazel, Lydia, Nora, Rylee\"], [\"what did I eat for lunch on 2012/06/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3843\", \"logical_representation\": [\"2012/06/27\", \"dinner\", \"sandwich\", \"Hazel, Rylee, Claire, Piper\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/06/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3844\", \"logical_representation\": [\"2012/06/27\", \"social media\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/06/27?\", \"41 minutes\"], [\"what did I read on 2012/06/27?\", \"social media\"], [\"Did I read on 2012/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3845\", \"logical_representation\": [\"2012/06/27\", \"a movie\", \"15 minutes\"], \"text_template_based\": \"I watched a movie for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/27?\", \"15 minutes\"], [\"what did I watch on tv on 2012/06/27?\", \"a movie\"], [\"Did I watch tv on 2012/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/07\": {\"dating\": {\"eid\": \"e3119\", \"logical_representation\": [\"2012/07/07\", \"Maverick\", \"a restaurant\"], \"text_template_based\": \"On 2012/07/07, I took Maverick on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/07/07\", \"Maverick\"], [\"where did I go for the date on 2012/07/07\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3884\", \"logical_representation\": [\"2012/07/07\", \"breakfast\", \"cereals\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3885\", \"logical_representation\": [\"2012/07/07\", \"dinner\", \"indian food\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/07/07?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2012/07/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3886\", \"logical_representation\": [\"2012/07/07\", \"Eva, Nora, Lydia\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I talked to Eva, Nora, Lydia for 41 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Lydia in the morning on 2012/07/07?\", \"41 minutes\"], [\"who did I talk to on 2012/07/07?\", \"Eva, Nora, Lydia\"], [\"Did I talk to Eva, Nora, Lydia on 2012/07/07?\", \"yes\"], [\"Did I talk to anyone on 2012/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3887\", \"logical_representation\": [\"2012/07/07\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/07/07?\", \"34 minutes\"], [\"what did I read on 2012/07/07?\", \"a book\"], [\"Did I read on 2012/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3888\", \"logical_representation\": [\"2012/07/07\", \"a documentary\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/07?\", \"21 minutes\"], [\"what did I watch on tv on 2012/07/07?\", \"a documentary\"], [\"Did I watch tv on 2012/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/01\": {\"hobbies\": {\"eid\": \"e3120\", \"logical_representation\": [\"2012/07/01\", \"I really enjoyed yoga on 2012/07/01\", \"yoga\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I really enjoyed yoga on 2012/07/01\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2012/07/01\"], [\"On 2012/07/01, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3857\", \"logical_representation\": [\"2012/07/01\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had cereals for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/07/01?\", \"Carter\"], [\"what did I eat for breakfast on 2012/07/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3858\", \"logical_representation\": [\"2012/07/01\", \"lunch\", \"steak\", \"Piper, Hazel, Lydia, Kinsley, Piper, Claire, Nora\"], \"text_template_based\": \"I had lunch with Piper, Hazel, Lydia, Kinsley, Piper, Claire, Nora. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/07/01?\", \"Piper, Hazel, Lydia, Kinsley, Piper, Claire, Nora\"], [\"what did I eat for lunch on 2012/07/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3859\", \"logical_representation\": [\"2012/07/01\", \"Layla, Claire, Nora\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Layla, Claire, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire, Nora late in the evening on 2012/07/01?\", \"25 minutes\"], [\"who did I talk to on 2012/07/01?\", \"Layla, Claire, Nora\"], [\"Did I talk to Layla, Claire, Nora on 2012/07/01?\", \"yes\"], [\"Did I talk to anyone on 2012/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3860\", \"logical_representation\": [\"2012/07/01\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/07/01?\", \"45 minutes\"], [\"what did I read on 2012/07/01?\", \"news\"], [\"Did I read on 2012/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3861\", \"logical_representation\": [\"2012/07/01\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I watched a documentary for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/01?\", \"16 minutes\"], [\"what did I watch on tv on 2012/07/01?\", \"a documentary\"], [\"Did I watch tv on 2012/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/04\": {\"hobbies\": {\"eid\": \"e3121\", \"logical_representation\": [\"2012/07/04\", \"I spent time learning a language on 2012/07/04 with Andrew, Carter, Kayden.\", \"learning a language\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I spent time learning a language on 2012/07/04 with Andrew, Carter, Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Andrew, Carter, Kayden?\", \"2012/07/04\"], [\"On 2012/07/04, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2012/07/04?\", \"Andrew, Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3123\", \"logical_representation\": [\"2012/07/04\", \"I bought some blueberries, soda, coffee, facial wash, shaving cream from the grocery store. I saw Andrew at the grocery store.\", \"blueberries\", \"soda, coffee\", \"facial wash, shaving cream\", \"Andrew\"], \"text_template_based\": \"I bought some blueberries, soda, coffee, facial wash, shaving cream from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/07/04?\", \"blueberries, soda, coffee, and facial wash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2012/07/04?\", \"blueberries\"], [\"what drinks did I buy from the grocery store on 2012/07/04?\", \"soda, coffee\"], [\"what toiletries did I buy from the grocery store on 2012/07/04?\", \"facial wash, shaving cream\"], [\"who did I see at the grocery store on 2012/07/04?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3872\", \"logical_representation\": [\"2012/07/04\", \"running\"], \"text_template_based\": \"I did running on 2012/07/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/04?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3873\", \"logical_representation\": [\"2012/07/04\", \"breakfast\", \"pancakes\", \"Kayden\"], \"text_template_based\": \"I had pancakes for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/07/04?\", \"Kayden\"], [\"what did I eat for breakfast on 2012/07/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3874\", \"logical_representation\": [\"2012/07/04\", \"lunch\", \"sushi\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had sushi for lunch with Andrew, Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/07/04?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2012/07/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3875\", \"logical_representation\": [\"2012/07/04\", \"dinner\", \"a burger\", \"Piper, Layla, Lydia, Eva, Hazel, Rylee, Nevaeh, Kinsley, Piper, Avery, Olivia, Claire, Nora\"], \"text_template_based\": \"I had dinner with Piper, Layla, Lydia, Eva, Hazel, Rylee, Nevaeh, Kinsley, Piper, Avery, Olivia, Claire, Nora. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/07/04?\", \"Piper, Layla, Lydia, Eva, Hazel, Rylee, Nevaeh, Kinsley, Piper, Avery, Olivia, Claire, Nora\"], [\"what did I eat for dinner on 2012/07/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3876\", \"logical_representation\": [\"2012/07/04\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/04?\", \"35 minutes\"], [\"what did I watch on tv on 2012/07/04?\", \"a documentary\"], [\"Did I watch tv on 2012/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/02\": {\"grocery\": {\"eid\": \"e3122\", \"logical_representation\": [\"2012/07/02\", \"I went grocery shopping. I bought some pears, pineapple juice, sports drinks, and mouthwash, shampoo, mouth wash\", \"pears\", \"pineapple juice, sports drinks\", \"mouthwash, shampoo, mouth wash\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some pears, pineapple juice, sports drinks, and mouthwash, shampoo, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/07/02?\", \"pears, pineapple juice, sports drinks, and mouthwash, shampoo, mouth wash\"], [\"what fruits did I buy from the grocery store on 2012/07/02?\", \"pears\"], [\"what drinks did I buy from the grocery store on 2012/07/02?\", \"pineapple juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2012/07/02?\", \"mouthwash, shampoo, mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3862\", \"logical_representation\": [\"2012/07/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/07/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3863\", \"logical_representation\": [\"2012/07/02\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3864\", \"logical_representation\": [\"2012/07/02\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/07/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3865\", \"logical_representation\": [\"2012/07/02\", \"dinner\", \"pasta\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had pasta for dinner with Kayden, Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/07/02?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2012/07/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3866\", \"logical_representation\": [\"2012/07/02\", \"Lydia, Claire, Eva\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Lydia, Claire, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Eva in the early afternoon on 2012/07/02?\", \"22 minutes\"], [\"who did I talk to on 2012/07/02?\", \"Lydia, Claire, Eva\"], [\"Did I talk to Lydia, Claire, Eva on 2012/07/02?\", \"yes\"], [\"Did I talk to anyone on 2012/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3867\", \"logical_representation\": [\"2012/07/02\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/02?\", \"10 minutes\"], [\"what did I watch on tv on 2012/07/02?\", \"a documentary\"], [\"Did I watch tv on 2012/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/19\": {\"dating\": {\"eid\": \"e3124\", \"logical_representation\": [\"2012/07/19\", \"Ariana\", \"a coffee Shop\"], \"text_template_based\": \"On 2012/07/19, I took Ariana on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/07/19\", \"Ariana\"], [\"where did I go for the date on 2012/07/19\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3933\", \"logical_representation\": [\"2012/07/19\", \"lunch\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/07/19?\", \"Kayden\"], [\"what did I eat for lunch on 2012/07/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3934\", \"logical_representation\": [\"2012/07/19\", \"dinner\", \"pasta\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/07/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3935\", \"logical_representation\": [\"2012/07/19\", \"Nevaeh, Nora, Piper\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Nora, Piper for 37 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Piper in the early afternoon on 2012/07/19?\", \"37 minutes\"], [\"who did I talk to on 2012/07/19?\", \"Nevaeh, Nora, Piper\"], [\"Did I talk to Nevaeh, Nora, Piper on 2012/07/19?\", \"yes\"], [\"Did I talk to anyone on 2012/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3936\", \"logical_representation\": [\"2012/07/19\", \"Hazel, Nevaeh, Lydia, Avery\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I talked to Hazel, Nevaeh, Lydia, Avery for 46 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh, Lydia, Avery in the morning on 2012/07/19?\", \"46 minutes\"], [\"who did I talk to on 2012/07/19?\", \"Hazel, Nevaeh, Lydia, Avery\"], [\"Did I talk to Hazel, Nevaeh, Lydia, Avery on 2012/07/19?\", \"yes\"], [\"Did I talk to anyone on 2012/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/15\": {\"hobbies\": {\"eid\": \"e3125\", \"logical_representation\": [\"2012/07/15\", \"I spent time gardening on 2012/07/15 with Avery, Jackson.\", \"gardening\", \"Avery, Jackson\"], \"text_template_based\": \"I spent time gardening on 2012/07/15 with Avery, Jackson.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Avery, Jackson?\", \"2012/07/15\"], [\"On 2012/07/15, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2012/07/15?\", \"Avery, Jackson\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3917\", \"logical_representation\": [\"2012/07/15\", \"Olivia, Layla\", \"in the early afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Olivia, Layla for 35 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla in the early afternoon on 2012/07/15?\", \"35 minutes\"], [\"who did I talk to on 2012/07/15?\", \"Olivia, Layla\"], [\"Did I talk to Olivia, Layla on 2012/07/15?\", \"yes\"], [\"Did I talk to anyone on 2012/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3918\", \"logical_representation\": [\"2012/07/15\", \"Piper, Avery, Rylee\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Rylee for 26 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Rylee in the early afternoon on 2012/07/15?\", \"26 minutes\"], [\"who did I talk to on 2012/07/15?\", \"Piper, Avery, Rylee\"], [\"Did I talk to Piper, Avery, Rylee on 2012/07/15?\", \"yes\"], [\"Did I talk to anyone on 2012/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3919\", \"logical_representation\": [\"2012/07/15\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/07/15?\", \"34 minutes\"], [\"what did I read on 2012/07/15?\", \"a book\"], [\"Did I read on 2012/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3920\", \"logical_representation\": [\"2012/07/15\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/15?\", \"54 minutes\"], [\"what did I watch on tv on 2012/07/15?\", \"a documentary\"], [\"Did I watch tv on 2012/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/16\": {\"grocery\": {\"eid\": \"e3126\", \"logical_representation\": [\"2012/07/16\", \"I bought some peaches, apple juice, orange juice, mouth wash, shampoo online.\", \"peaches\", \"apple juice, orange juice\", \"mouth wash, shampoo\", \"Emily\"], \"text_template_based\": \"I bought some peaches, apple juice, orange juice, mouth wash, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/07/16?\", \"peaches, apple juice, orange juice, and mouth wash, shampoo\"], [\"what fruits did I buy online on 2012/07/16?\", \"peaches\"], [\"what drinks did I buy online on 2012/07/16?\", \"apple juice, orange juice\"], [\"what toiletries did I buy online on 2012/07/16?\", \"mouth wash, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3921\", \"logical_representation\": [\"2012/07/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/07/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3922\", \"logical_representation\": [\"2012/07/16\", \"dinner\", \"sandwich\", \"Nevaeh, Layla\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/07/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3923\", \"logical_representation\": [\"2012/07/16\", \"Rylee, Piper, Claire\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Rylee, Piper, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Claire late in the evening on 2012/07/16?\", \"42 minutes\"], [\"who did I talk to on 2012/07/16?\", \"Rylee, Piper, Claire\"], [\"Did I talk to Rylee, Piper, Claire on 2012/07/16?\", \"yes\"], [\"Did I talk to anyone on 2012/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3924\", \"logical_representation\": [\"2012/07/16\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/07/16?\", \"41 minutes\"], [\"what did I read on 2012/07/16?\", \"a book\"], [\"Did I read on 2012/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/22\": {\"dating\": {\"eid\": \"e3127\", \"logical_representation\": [\"2012/07/22\", \"Elena\", \"a boba shop\"], \"text_template_based\": \"On 2012/07/22, I took Elena on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/07/22\", \"Elena\"], [\"where did I go for the date on 2012/07/22\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3128\", \"logical_representation\": [\"2012/07/22\", \"I bought some watermelons, apple juice, orange juice, mineral water, tea, toothbrush, body lotion, toothpaste online.\", \"watermelons\", \"apple juice, orange juice, mineral water, tea\", \"toothbrush, body lotion, toothpaste\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I bought some watermelons, apple juice, orange juice, mineral water, tea, toothbrush, body lotion, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/07/22?\", \"watermelons, apple juice, orange juice, mineral water, tea, and toothbrush, body lotion, toothpaste\"], [\"what fruits did I buy online on 2012/07/22?\", \"watermelons\"], [\"what drinks did I buy online on 2012/07/22?\", \"apple juice, orange juice, mineral water, tea\"], [\"what toiletries did I buy online on 2012/07/22?\", \"toothbrush, body lotion, toothpaste\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3946\", \"logical_representation\": [\"2012/07/22\", \"breakfast\", \"toast and cheese\", \"Jackson\"], \"text_template_based\": \"I had breakfast with Jackson. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/07/22?\", \"Jackson\"], [\"what did I eat for breakfast on 2012/07/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3947\", \"logical_representation\": [\"2012/07/22\", \"lunch\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/07/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3948\", \"logical_representation\": [\"2012/07/22\", \"dinner\", \"a burger\", \"Rylee, Hazel, Claire, Layla, Avery, Eva, Nora, Olivia, Nevaeh\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/07/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3949\", \"logical_representation\": [\"2012/07/22\", \"Eva, Hazel\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel for 30 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel late in the evening on 2012/07/22?\", \"30 minutes\"], [\"who did I talk to on 2012/07/22?\", \"Eva, Hazel\"], [\"Did I talk to Eva, Hazel on 2012/07/22?\", \"yes\"], [\"Did I talk to anyone on 2012/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3950\", \"logical_representation\": [\"2012/07/22\", \"Kinsley, Piper, Nevaeh, Piper\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Nevaeh, Piper for 36 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Nevaeh, Piper late in the evening on 2012/07/22?\", \"36 minutes\"], [\"who did I talk to on 2012/07/22?\", \"Kinsley, Piper, Nevaeh, Piper\"], [\"Did I talk to Kinsley, Piper, Nevaeh, Piper on 2012/07/22?\", \"yes\"], [\"Did I talk to anyone on 2012/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3951\", \"logical_representation\": [\"2012/07/22\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/07/22?\", \"43 minutes\"], [\"what did I read on 2012/07/22?\", \"news\"], [\"Did I read on 2012/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/28\": {\"grocery\": {\"eid\": \"e3129\", \"logical_representation\": [\"2012/07/28\", \"I bought some apples, blackberries, guava juice, toothpaste, shampoo, facial wash, body lotion online.\", \"apples, blackberries\", \"guava juice\", \"toothpaste, shampoo, facial wash, body lotion\", \"Piper, Hazel, Kinsley, Lydia\"], \"text_template_based\": \"I bought some apples, blackberries, guava juice, toothpaste, shampoo, facial wash, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/07/28?\", \"apples, blackberries, guava juice, and toothpaste, shampoo, facial wash, body lotion\"], [\"what fruits did I buy online on 2012/07/28?\", \"apples, blackberries\"], [\"what drinks did I buy online on 2012/07/28?\", \"guava juice\"], [\"what toiletries did I buy online on 2012/07/28?\", \"toothpaste, shampoo, facial wash, body lotion\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3964\", \"logical_representation\": [\"2012/07/28\", \"lunch\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/07/28?\", \"Kayden\"], [\"what did I eat for lunch on 2012/07/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3965\", \"logical_representation\": [\"2012/07/28\", \"Piper, Layla, Piper\", \"during lunch hours\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Piper, Layla, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Piper during lunch hours on 2012/07/28?\", \"16 minutes\"], [\"who did I talk to on 2012/07/28?\", \"Piper, Layla, Piper\"], [\"Did I talk to Piper, Layla, Piper on 2012/07/28?\", \"yes\"], [\"Did I talk to anyone on 2012/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3966\", \"logical_representation\": [\"2012/07/28\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/07/28?\", \"25 minutes\"], [\"what did I read on 2012/07/28?\", \"news\"], [\"Did I read on 2012/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/30\": {\"hobbies\": {\"eid\": \"e3130\", \"logical_representation\": [\"2012/07/30\", \"I spent time yoga on 2012/07/30 with Kayden, Andrew, Emily.\", \"yoga\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I spent time yoga on 2012/07/30 with Kayden, Andrew, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Kayden, Andrew, Emily?\", \"2012/07/30\"], [\"On 2012/07/30, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2012/07/30?\", \"Kayden, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3971\", \"logical_representation\": [\"2012/07/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/07/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3972\", \"logical_representation\": [\"2012/07/30\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3973\", \"logical_representation\": [\"2012/07/30\", \"lunch\", \"chinese food\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had chinese food for lunch with Andrew, Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/07/30?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2012/07/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2012/07/29\": {\"grocery\": {\"eid\": \"e3131\", \"logical_representation\": [\"2012/07/29\", \"I went grocery shopping. I bought some bananas, nectarines, apples, chocolate milk, and mouthwash, body lotion, shampoo, mouth wash\", \"bananas, nectarines, apples\", \"chocolate milk\", \"mouthwash, body lotion, shampoo, mouth wash\", \"Benjamin\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, nectarines, apples, chocolate milk, and mouthwash, body lotion, shampoo, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/07/29?\", \"bananas, nectarines, apples, chocolate milk, and mouthwash, body lotion, shampoo, mouth wash\"], [\"what fruits did I buy from the grocery store on 2012/07/29?\", \"bananas, nectarines, apples\"], [\"what drinks did I buy from the grocery store on 2012/07/29?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2012/07/29?\", \"mouthwash, body lotion, shampoo, mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3967\", \"logical_representation\": [\"2012/07/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/07/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3968\", \"logical_representation\": [\"2012/07/29\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/07/29?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2012/07/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3969\", \"logical_representation\": [\"2012/07/29\", \"Hazel\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2012/07/29?\", \"37 minutes\"], [\"who did I talk to on 2012/07/29?\", \"Hazel\"], [\"Did I talk to Hazel on 2012/07/29?\", \"yes\"], [\"Did I talk to anyone on 2012/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3970\", \"logical_representation\": [\"2012/07/29\", \"Olivia\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Olivia for 32 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2012/07/29?\", \"32 minutes\"], [\"who did I talk to on 2012/07/29?\", \"Olivia\"], [\"Did I talk to Olivia on 2012/07/29?\", \"yes\"], [\"Did I talk to anyone on 2012/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/03\": {\"grocery\": {\"eid\": \"e3132\", \"logical_representation\": [\"2012/08/03\", \"I went grocery shopping with Kayden, Carter, Emily, Andrew. I bought some mandarins, clementines, mango juice, coffee, and toilet paper, shaving cream, mouthwash, body lotion\", \"mandarins, clementines\", \"mango juice, coffee\", \"toilet paper, shaving cream, mouthwash, body lotion\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping with Kayden, Carter, Emily, Andrew. I bought some mandarins, clementines, mango juice, coffee, and toilet paper, shaving cream, mouthwash, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/08/03?\", \"mandarins, clementines, mango juice, coffee, and toilet paper, shaving cream, mouthwash, body lotion\"], [\"what fruits did I buy from the grocery store on 2012/08/03?\", \"mandarins, clementines\"], [\"what drinks did I buy from the grocery store on 2012/08/03?\", \"mango juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2012/08/03?\", \"toilet paper, shaving cream, mouthwash, body lotion\"], [\"who was with me at the grocery store on 2012/08/03?\", \"Kayden, Carter, Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3987\", \"logical_representation\": [\"2012/08/03\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Benjamin, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/08/03?\", \"Benjamin, Willow, Avery\"], [\"what did I eat for breakfast on 2012/08/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3988\", \"logical_representation\": [\"2012/08/03\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/08/03?\", \"35 minutes\"], [\"what did I read on 2012/08/03?\", \"social media\"], [\"Did I read on 2012/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3989\", \"logical_representation\": [\"2012/08/03\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/03?\", \"45 minutes\"], [\"what did I watch on tv on 2012/08/03?\", \"a movie\"], [\"Did I watch tv on 2012/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/08\": {\"grocery\": {\"eid\": \"e3133\", \"logical_representation\": [\"2012/08/08\", \"I went grocery shopping with Carter. I bought some blueberries, apricots, mineral water, mango juice, apple juice, and toothbrush\", \"blueberries, apricots\", \"mineral water, mango juice, apple juice\", \"toothbrush\", \"Carter\"], \"text_template_based\": \"I went grocery shopping with Carter. I bought some blueberries, apricots, mineral water, mango juice, apple juice, and toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/08/08?\", \"blueberries, apricots, mineral water, mango juice, apple juice, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2012/08/08?\", \"blueberries, apricots\"], [\"what drinks did I buy from the grocery store on 2012/08/08?\", \"mineral water, mango juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2012/08/08?\", \"toothbrush\"], [\"who was with me at the grocery store on 2012/08/08?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4006\", \"logical_representation\": [\"2012/08/08\", \"lunch\", \"tacos\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Andrew, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/08/08?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for lunch on 2012/08/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4007\", \"logical_representation\": [\"2012/08/08\", \"Olivia, Eva, Nevaeh\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Olivia, Eva, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva, Nevaeh late in the evening on 2012/08/08?\", \"39 minutes\"], [\"who did I talk to on 2012/08/08?\", \"Olivia, Eva, Nevaeh\"], [\"Did I talk to Olivia, Eva, Nevaeh on 2012/08/08?\", \"yes\"], [\"Did I talk to anyone on 2012/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4008\", \"logical_representation\": [\"2012/08/08\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I watched a documentary for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/08?\", \"54 minutes\"], [\"what did I watch on tv on 2012/08/08?\", \"a documentary\"], [\"Did I watch tv on 2012/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/15\": {\"dating\": {\"eid\": \"e3134\", \"logical_representation\": [\"2012/08/15\", \"Hunter\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Hunter on 2012/08/15 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/08/15\", \"Hunter\"], [\"where did I go for the date on 2012/08/15\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4029\", \"logical_representation\": [\"2012/08/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/08/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4030\", \"logical_representation\": [\"2012/08/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/08/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4031\", \"logical_representation\": [\"2012/08/15\", \"Rylee, Nevaeh, Claire, Olivia\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Rylee, Nevaeh, Claire, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Claire, Olivia late in the evening on 2012/08/15?\", \"37 minutes\"], [\"who did I talk to on 2012/08/15?\", \"Rylee, Nevaeh, Claire, Olivia\"], [\"Did I talk to Rylee, Nevaeh, Claire, Olivia on 2012/08/15?\", \"yes\"], [\"Did I talk to anyone on 2012/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4032\", \"logical_representation\": [\"2012/08/15\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/08/15?\", \"9 minutes\"], [\"what did I read on 2012/08/15?\", \"a book\"], [\"Did I read on 2012/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4033\", \"logical_representation\": [\"2012/08/15\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/15?\", \"26 minutes\"], [\"what did I watch on tv on 2012/08/15?\", \"news\"], [\"Did I watch tv on 2012/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/14\": {\"hobbies\": {\"eid\": \"e3135\", \"logical_representation\": [\"2012/08/14\", \"I spent some time learning a language on 2012/08/14.\", \"learning a language\", \"Nevaeh\"], \"text_template_based\": \"I spent some time learning a language on 2012/08/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2012/08/14\"], [\"On 2012/08/14, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4026\", \"logical_representation\": [\"2012/08/14\", \"lunch\", \"sushi\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4027\", \"logical_representation\": [\"2012/08/14\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/08/14?\", \"14 minutes\"], [\"what did I read on 2012/08/14?\", \"a book\"], [\"Did I read on 2012/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4028\", \"logical_representation\": [\"2012/08/14\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/14?\", \"15 minutes\"], [\"what did I watch on tv on 2012/08/14?\", \"news\"], [\"Did I watch tv on 2012/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/16\": {\"hobbies\": {\"eid\": \"e3136\", \"logical_representation\": [\"2012/08/16\", \"I really enjoyed yoga on 2012/08/16\", \"yoga\", \"Emily, Kayden\"], \"text_template_based\": \"I really enjoyed yoga on 2012/08/16\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2012/08/16\"], [\"On 2012/08/16, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4034\", \"logical_representation\": [\"2012/08/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/08/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4035\", \"logical_representation\": [\"2012/08/16\", \"dinner\", \"pasta\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4036\", \"logical_representation\": [\"2012/08/16\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/08/16?\", \"43 minutes\"], [\"what did I read on 2012/08/16?\", \"social media\"], [\"Did I read on 2012/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/22\": {\"dating\": {\"eid\": \"e3137\", \"logical_representation\": [\"2012/08/22\", \"Aaron\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Aaron on 2012/08/22 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/08/22\", \"Aaron\"], [\"where did I go for the date on 2012/08/22\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4058\", \"logical_representation\": [\"2012/08/22\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/08/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4059\", \"logical_representation\": [\"2012/08/22\", \"dinner\", \"indian food\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4060\", \"logical_representation\": [\"2012/08/22\", \"Piper\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Piper for 26 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2012/08/22?\", \"26 minutes\"], [\"who did I talk to on 2012/08/22?\", \"Piper\"], [\"Did I talk to Piper on 2012/08/22?\", \"yes\"], [\"Did I talk to anyone on 2012/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/20\": {\"grocery\": {\"eid\": \"e3138\", \"logical_representation\": [\"2012/08/20\", \"I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some apples, cherres, milk, sports drinks, and mouth wash, paper towel, facial wash\", \"apples, cherres\", \"milk, sports drinks\", \"mouth wash, paper towel, facial wash\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some apples, cherres, milk, sports drinks, and mouth wash, paper towel, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/08/20?\", \"apples, cherres, milk, sports drinks, and mouth wash, paper towel, facial wash\"], [\"what fruits did I buy from the grocery store on 2012/08/20?\", \"apples, cherres\"], [\"what drinks did I buy from the grocery store on 2012/08/20?\", \"milk, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2012/08/20?\", \"mouth wash, paper towel, facial wash\"], [\"who was with me at the grocery store on 2012/08/20?\", \"Kayden, Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4050\", \"logical_representation\": [\"2012/08/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/08/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4051\", \"logical_representation\": [\"2012/08/20\", \"lunch\", \"pasta\", \"Andrew, Kayden\"], \"text_template_based\": \"I had pasta for lunch with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/08/20?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2012/08/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4052\", \"logical_representation\": [\"2012/08/20\", \"dinner\", \"a burger\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4053\", \"logical_representation\": [\"2012/08/20\", \"Piper, Olivia, Piper\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Piper, Olivia, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Piper in the late afternoon on 2012/08/20?\", \"55 minutes\"], [\"who did I talk to on 2012/08/20?\", \"Piper, Olivia, Piper\"], [\"Did I talk to Piper, Olivia, Piper on 2012/08/20?\", \"yes\"], [\"Did I talk to anyone on 2012/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4054\", \"logical_representation\": [\"2012/08/20\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/08/20?\", \"15 minutes\"], [\"what did I read on 2012/08/20?\", \"a book\"], [\"Did I read on 2012/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/24\": {\"grocery\": {\"eid\": \"e3139\", \"logical_representation\": [\"2012/08/24\", \"I went grocery shopping with Andrew. I bought some pineapples, cherres, clementines, pears, milk, orange juice, and toothbrush, paper towel, facial wash, conditioner\", \"pineapples, cherres, clementines, pears\", \"milk, orange juice\", \"toothbrush, paper towel, facial wash, conditioner\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping with Andrew. I bought some pineapples, cherres, clementines, pears, milk, orange juice, and toothbrush, paper towel, facial wash, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/08/24?\", \"pineapples, cherres, clementines, pears, milk, orange juice, and toothbrush, paper towel, facial wash, conditioner\"], [\"what fruits did I buy from the grocery store on 2012/08/24?\", \"pineapples, cherres, clementines, pears\"], [\"what drinks did I buy from the grocery store on 2012/08/24?\", \"milk, orange juice\"], [\"what toiletries did I buy from the grocery store on 2012/08/24?\", \"toothbrush, paper towel, facial wash, conditioner\"], [\"who was with me at the grocery store on 2012/08/24?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4067\", \"logical_representation\": [\"2012/08/24\", \"breakfast\", \"pancakes\", \"Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Emily. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/08/24?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2012/08/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4068\", \"logical_representation\": [\"2012/08/24\", \"lunch\", \"indian food\", \"Emily, Kayden\"], \"text_template_based\": \"I had indian food for lunch with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/08/24?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2012/08/24\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4069\", \"logical_representation\": [\"2012/08/24\", \"dinner\", \"sandwich\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/08/24?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2012/08/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4070\", \"logical_representation\": [\"2012/08/24\", \"Eva, Kinsley\", \"in the early afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley for 35 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley in the early afternoon on 2012/08/24?\", \"35 minutes\"], [\"who did I talk to on 2012/08/24?\", \"Eva, Kinsley\"], [\"Did I talk to Eva, Kinsley on 2012/08/24?\", \"yes\"], [\"Did I talk to anyone on 2012/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4071\", \"logical_representation\": [\"2012/08/24\", \"Piper\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2012/08/24?\", \"39 minutes\"], [\"who did I talk to on 2012/08/24?\", \"Piper\"], [\"Did I talk to Piper on 2012/08/24?\", \"yes\"], [\"Did I talk to anyone on 2012/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4072\", \"logical_representation\": [\"2012/08/24\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/24?\", \"33 minutes\"], [\"what did I watch on tv on 2012/08/24?\", \"news\"], [\"Did I watch tv on 2012/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/29\": {\"dating\": {\"eid\": \"e3140\", \"logical_representation\": [\"2012/08/29\", \"Gabriella\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Gabriella on 2012/08/29 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/08/29\", \"Gabriella\"], [\"where did I go for the date on 2012/08/29\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3142\", \"logical_representation\": [\"2012/08/29\", \"I went grocery shopping with Willow, Benjamin, Jackson, Avery. I bought some cherres, milk, pineapple juice, orange juice, and paper towel, toothpaste\", \"cherres\", \"milk, pineapple juice, orange juice\", \"paper towel, toothpaste\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I went grocery shopping with Willow, Benjamin, Jackson, Avery. I bought some cherres, milk, pineapple juice, orange juice, and paper towel, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/08/29?\", \"cherres, milk, pineapple juice, orange juice, and paper towel, toothpaste\"], [\"what fruits did I buy from the grocery store on 2012/08/29?\", \"cherres\"], [\"what drinks did I buy from the grocery store on 2012/08/29?\", \"milk, pineapple juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2012/08/29?\", \"paper towel, toothpaste\"], [\"who was with me at the grocery store on 2012/08/29?\", \"Willow, Benjamin, Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4086\", \"logical_representation\": [\"2012/08/29\", \"breakfast\", \"toast and cheese\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Andrew. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/08/29?\", \"Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2012/08/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4087\", \"logical_representation\": [\"2012/08/29\", \"Rylee, Kinsley, Eva\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Rylee, Kinsley, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Eva late in the evening on 2012/08/29?\", \"15 minutes\"], [\"who did I talk to on 2012/08/29?\", \"Rylee, Kinsley, Eva\"], [\"Did I talk to Rylee, Kinsley, Eva on 2012/08/29?\", \"yes\"], [\"Did I talk to anyone on 2012/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4088\", \"logical_representation\": [\"2012/08/29\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/29?\", \"54 minutes\"], [\"what did I watch on tv on 2012/08/29?\", \"news\"], [\"Did I watch tv on 2012/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/28\": {\"hobbies\": {\"eid\": \"e3141\", \"logical_representation\": [\"2012/08/28\", \"I spent some time meditation on 2012/08/28.\", \"meditation\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I spent some time meditation on 2012/08/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2012/08/28\"], [\"On 2012/08/28, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4083\", \"logical_representation\": [\"2012/08/28\", \"breakfast\", \"pancakes\", \"Olivia, Rylee, Nora, Piper, Nevaeh, Layla, Kinsley, Claire, Piper, Lydia, Hazel, Avery, Eva\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/08/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4084\", \"logical_representation\": [\"2012/08/28\", \"lunch\", \"sandwich\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4085\", \"logical_representation\": [\"2012/08/28\", \"Nevaeh, Claire, Layla, Nora\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Nevaeh, Claire, Layla, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire, Layla, Nora during lunch hours on 2012/08/28?\", \"34 minutes\"], [\"who did I talk to on 2012/08/28?\", \"Nevaeh, Claire, Layla, Nora\"], [\"Did I talk to Nevaeh, Claire, Layla, Nora on 2012/08/28?\", \"yes\"], [\"Did I talk to anyone on 2012/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/10\": {\"grocery\": {\"eid\": \"e3143\", \"logical_representation\": [\"2012/09/10\", \"I bought some raspberries, peaches, guava, milk, soda, facial wash, conditioner from the grocery store. I saw Andrew, Carter, Kayden at the grocery store.\", \"raspberries, peaches, guava\", \"milk, soda\", \"facial wash, conditioner\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I bought some raspberries, peaches, guava, milk, soda, facial wash, conditioner from the grocery store. I saw Andrew, Carter, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/09/10?\", \"raspberries, peaches, guava, milk, soda, and facial wash, conditioner\"], [\"what fruits did I buy from the grocery store on 2012/09/10?\", \"raspberries, peaches, guava\"], [\"what drinks did I buy from the grocery store on 2012/09/10?\", \"milk, soda\"], [\"what toiletries did I buy from the grocery store on 2012/09/10?\", \"facial wash, conditioner\"], [\"who did I see at the grocery store on 2012/09/10?\", \"Andrew, Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4131\", \"logical_representation\": [\"2012/09/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/09/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4132\", \"logical_representation\": [\"2012/09/10\", \"lunch\", \"chinese food\", \"Rylee, Nora, Claire, Nevaeh, Hazel, Piper, Lydia, Layla, Avery, Piper, Kinsley\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4133\", \"logical_representation\": [\"2012/09/10\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I watched a movie for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/10?\", \"32 minutes\"], [\"what did I watch on tv on 2012/09/10?\", \"a movie\"], [\"Did I watch tv on 2012/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/16\": {\"dating\": {\"eid\": \"e3144\", \"logical_representation\": [\"2012/09/16\", \"Sadie\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Sadie on 2012/09/16 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/09/16\", \"Sadie\"], [\"where did I go for the date on 2012/09/16\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4156\", \"logical_representation\": [\"2012/09/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4157\", \"logical_representation\": [\"2012/09/16\", \"lunch\", \"sushi\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4158\", \"logical_representation\": [\"2012/09/16\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I watched a tv series for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/16?\", \"18 minutes\"], [\"what did I watch on tv on 2012/09/16?\", \"a tv series\"], [\"Did I watch tv on 2012/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/23\": {\"dating\": {\"eid\": \"e3145\", \"logical_representation\": [\"2012/09/23\", \"Eliana\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Eliana on 2012/09/23 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/09/23\", \"Eliana\"], [\"where did I go for the date on 2012/09/23\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4182\", \"logical_representation\": [\"2012/09/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/09/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4183\", \"logical_representation\": [\"2012/09/23\", \"lunch\", \"fish and chips\", \"Emily, Kayden\"], \"text_template_based\": \"I had fish and chips for lunch with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/09/23?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2012/09/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4184\", \"logical_representation\": [\"2012/09/23\", \"Piper, Claire\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I talked to Piper, Claire for 44 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire during lunch hours on 2012/09/23?\", \"44 minutes\"], [\"who did I talk to on 2012/09/23?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2012/09/23?\", \"yes\"], [\"Did I talk to anyone on 2012/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4185\", \"logical_representation\": [\"2012/09/23\", \"Avery, Piper, Nora\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Nora for 13 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Nora in the morning on 2012/09/23?\", \"13 minutes\"], [\"who did I talk to on 2012/09/23?\", \"Avery, Piper, Nora\"], [\"Did I talk to Avery, Piper, Nora on 2012/09/23?\", \"yes\"], [\"Did I talk to anyone on 2012/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4186\", \"logical_representation\": [\"2012/09/23\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/09/23?\", \"6 minutes\"], [\"what did I read on 2012/09/23?\", \"news\"], [\"Did I read on 2012/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4187\", \"logical_representation\": [\"2012/09/23\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I watched a movie for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/23?\", \"18 minutes\"], [\"what did I watch on tv on 2012/09/23?\", \"a movie\"], [\"Did I watch tv on 2012/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/25\": {\"hobbies\": {\"eid\": \"e3146\", \"logical_representation\": [\"2012/09/25\", \"I spent time working out on 2012/09/25 with Emily.\", \"working out\", \"Emily\"], \"text_template_based\": \"I spent time working out on 2012/09/25 with Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Emily?\", \"2012/09/25\"], [\"On 2012/09/25, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2012/09/25?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4191\", \"logical_representation\": [\"2012/09/25\", \"breakfast\", \"toast and cheese\", \"Layla, Hazel, Lydia, Claire, Avery, Piper, Rylee, Nevaeh, Nora, Olivia, Piper, Kinsley, Eva\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/09/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4192\", \"logical_representation\": [\"2012/09/25\", \"dinner\", \"a burger\", \"Nora, Piper, Avery\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4193\", \"logical_representation\": [\"2012/09/25\", \"Layla, Lydia\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Layla, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia late in the evening on 2012/09/25?\", \"14 minutes\"], [\"who did I talk to on 2012/09/25?\", \"Layla, Lydia\"], [\"Did I talk to Layla, Lydia on 2012/09/25?\", \"yes\"], [\"Did I talk to anyone on 2012/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4194\", \"logical_representation\": [\"2012/09/25\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/25?\", \"47 minutes\"], [\"what did I watch on tv on 2012/09/25?\", \"a tv series\"], [\"Did I watch tv on 2012/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/29\": {\"grocery\": {\"eid\": \"e3147\", \"logical_representation\": [\"2012/09/29\", \"I bought some mangos, pears, pineapples, apricots, tea, orange juice, soda, apple juice, paper towel from the grocery store. I saw Lydia, Piper, Kinsley, Avery at the grocery store.\", \"mangos, pears, pineapples, apricots\", \"tea, orange juice, soda, apple juice\", \"paper towel\", \"Lydia, Piper, Kinsley, Avery\"], \"text_template_based\": \"I bought some mangos, pears, pineapples, apricots, tea, orange juice, soda, apple juice, paper towel from the grocery store. I saw Lydia, Piper, Kinsley, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/09/29?\", \"mangos, pears, pineapples, apricots, tea, orange juice, soda, apple juice, and paper towel\"], [\"what fruits did I buy from the grocery store on 2012/09/29?\", \"mangos, pears, pineapples, apricots\"], [\"what drinks did I buy from the grocery store on 2012/09/29?\", \"tea, orange juice, soda, apple juice\"], [\"what toiletries did I buy from the grocery store on 2012/09/29?\", \"paper towel\"], [\"who did I see at the grocery store on 2012/09/29?\", \"Lydia, Piper, Kinsley, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4209\", \"logical_representation\": [\"2012/09/29\", \"biking\"], \"text_template_based\": \"I did biking on 2012/09/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/29?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4210\", \"logical_representation\": [\"2012/09/29\", \"breakfast\", \"toast and cheese\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/09/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4211\", \"logical_representation\": [\"2012/09/29\", \"lunch\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4212\", \"logical_representation\": [\"2012/09/29\", \"dinner\", \"sandwich\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4213\", \"logical_representation\": [\"2012/09/29\", \"Layla\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I talked to Layla for 29 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla during lunch hours on 2012/09/29?\", \"29 minutes\"], [\"who did I talk to on 2012/09/29?\", \"Layla\"], [\"Did I talk to Layla on 2012/09/29?\", \"yes\"], [\"Did I talk to anyone on 2012/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4214\", \"logical_representation\": [\"2012/09/29\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/09/29?\", \"48 minutes\"], [\"what did I read on 2012/09/29?\", \"news\"], [\"Did I read on 2012/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4215\", \"logical_representation\": [\"2012/09/29\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/29?\", \"42 minutes\"], [\"what did I watch on tv on 2012/09/29?\", \"news\"], [\"Did I watch tv on 2012/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/04\": {\"dating\": {\"eid\": \"e3148\", \"logical_representation\": [\"2012/10/04\", \"Jacob\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Jacob on 2012/10/04 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/10/04\", \"Jacob\"], [\"where did I go for the date on 2012/10/04\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4226\", \"logical_representation\": [\"2012/10/04\", \"Rylee, Layla\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Rylee, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla during lunch hours on 2012/10/04?\", \"39 minutes\"], [\"who did I talk to on 2012/10/04?\", \"Rylee, Layla\"], [\"Did I talk to Rylee, Layla on 2012/10/04?\", \"yes\"], [\"Did I talk to anyone on 2012/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4227\", \"logical_representation\": [\"2012/10/04\", \"Layla, Nora, Hazel, Kinsley\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I talked to Layla, Nora, Hazel, Kinsley for 9 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Hazel, Kinsley in the late afternoon on 2012/10/04?\", \"9 minutes\"], [\"who did I talk to on 2012/10/04?\", \"Layla, Nora, Hazel, Kinsley\"], [\"Did I talk to Layla, Nora, Hazel, Kinsley on 2012/10/04?\", \"yes\"], [\"Did I talk to anyone on 2012/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4228\", \"logical_representation\": [\"2012/10/04\", \"a book\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/10/04?\", \"31 minutes\"], [\"what did I read on 2012/10/04?\", \"a book\"], [\"Did I read on 2012/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4229\", \"logical_representation\": [\"2012/10/04\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/04?\", \"34 minutes\"], [\"what did I watch on tv on 2012/10/04?\", \"news\"], [\"Did I watch tv on 2012/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/03\": {\"grocery\": {\"eid\": \"e3149\", \"logical_representation\": [\"2012/10/03\", \"I went grocery shopping. I bought some peaches, nectarines, raspberries, mineral water, and conditioner, toothpaste, mouth wash, shampoo\", \"peaches, nectarines, raspberries\", \"mineral water\", \"conditioner, toothpaste, mouth wash, shampoo\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, nectarines, raspberries, mineral water, and conditioner, toothpaste, mouth wash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/10/03?\", \"peaches, nectarines, raspberries, mineral water, and conditioner, toothpaste, mouth wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2012/10/03?\", \"peaches, nectarines, raspberries\"], [\"what drinks did I buy from the grocery store on 2012/10/03?\", \"mineral water\"], [\"what toiletries did I buy from the grocery store on 2012/10/03?\", \"conditioner, toothpaste, mouth wash, shampoo\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4224\", \"logical_representation\": [\"2012/10/03\", \"Piper, Avery\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I talked to Piper, Avery for 37 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery during lunch hours on 2012/10/03?\", \"37 minutes\"], [\"who did I talk to on 2012/10/03?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2012/10/03?\", \"yes\"], [\"Did I talk to anyone on 2012/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4225\", \"logical_representation\": [\"2012/10/03\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/10/03?\", \"18 minutes\"], [\"what did I read on 2012/10/03?\", \"news\"], [\"Did I read on 2012/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/09\": {\"grocery\": {\"eid\": \"e3150\", \"logical_representation\": [\"2012/10/09\", \"I went grocery shopping with Piper, Nora. I bought some raspberries, apples, orange juice, chocolate milk, apple juice, pineapple juice, and shampoo\", \"raspberries, apples\", \"orange juice, chocolate milk, apple juice, pineapple juice\", \"shampoo\", \"Piper, Nora\"], \"text_template_based\": \"I went grocery shopping with Piper, Nora. I bought some raspberries, apples, orange juice, chocolate milk, apple juice, pineapple juice, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/10/09?\", \"raspberries, apples, orange juice, chocolate milk, apple juice, pineapple juice, and shampoo\"], [\"what fruits did I buy from the grocery store on 2012/10/09?\", \"raspberries, apples\"], [\"what drinks did I buy from the grocery store on 2012/10/09?\", \"orange juice, chocolate milk, apple juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2012/10/09?\", \"shampoo\"], [\"who was with me at the grocery store on 2012/10/09?\", \"Piper, Nora\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4249\", \"logical_representation\": [\"2012/10/09\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Hazel, Layla, Kinsley, Eva, Claire, Nora, Piper, Rylee, Nevaeh\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/10/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4250\", \"logical_representation\": [\"2012/10/09\", \"a movie\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/09?\", \"44 minutes\"], [\"what did I watch on tv on 2012/10/09?\", \"a movie\"], [\"Did I watch tv on 2012/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/11\": {\"grocery\": {\"eid\": \"e3151\", \"logical_representation\": [\"2012/10/11\", \"I went grocery shopping. I bought some apricots, raspberries, oranges, milk, soda, and paper towel\", \"apricots, raspberries, oranges\", \"milk, soda\", \"paper towel\", \"Nevaeh, Claire, Kinsley, Lydia, Hazel, Nora, Eva, Olivia, Rylee, Avery, Piper, Layla\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, raspberries, oranges, milk, soda, and paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/10/11?\", \"apricots, raspberries, oranges, milk, soda, and paper towel\"], [\"what fruits did I buy from the grocery store on 2012/10/11?\", \"apricots, raspberries, oranges\"], [\"what drinks did I buy from the grocery store on 2012/10/11?\", \"milk, soda\"], [\"what toiletries did I buy from the grocery store on 2012/10/11?\", \"paper towel\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4257\", \"logical_representation\": [\"2012/10/11\", \"lunch\", \"steak\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/10/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4258\", \"logical_representation\": [\"2012/10/11\", \"dinner\", \"sushi\", \"Claire, Nevaeh, Piper, Eva\"], \"text_template_based\": \"I had sushi for dinner with Claire, Nevaeh, Piper, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/10/11?\", \"Claire, Nevaeh, Piper, Eva\"], [\"what did I eat for dinner on 2012/10/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4259\", \"logical_representation\": [\"2012/10/11\", \"Hazel, Claire, Piper, Olivia\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Hazel, Claire, Piper, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Piper, Olivia in the early evening on 2012/10/11?\", \"50 minutes\"], [\"who did I talk to on 2012/10/11?\", \"Hazel, Claire, Piper, Olivia\"], [\"Did I talk to Hazel, Claire, Piper, Olivia on 2012/10/11?\", \"yes\"], [\"Did I talk to anyone on 2012/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4260\", \"logical_representation\": [\"2012/10/11\", \"news\", \"49 minutes\"], \"text_template_based\": \"I watched news for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/11?\", \"49 minutes\"], [\"what did I watch on tv on 2012/10/11?\", \"news\"], [\"Did I watch tv on 2012/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/15\": {\"grocery\": {\"eid\": \"e3152\", \"logical_representation\": [\"2012/10/15\", \"I went grocery shopping with Carter, Andrew, Emily. I bought some pineapples, apples, cherres, blueberries, milk, mineral water, pineapple juice, coffee, and mouth wash, facial wash\", \"pineapples, apples, cherres, blueberries\", \"milk, mineral water, pineapple juice, coffee\", \"mouth wash, facial wash\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping with Carter, Andrew, Emily. I bought some pineapples, apples, cherres, blueberries, milk, mineral water, pineapple juice, coffee, and mouth wash, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/10/15?\", \"pineapples, apples, cherres, blueberries, milk, mineral water, pineapple juice, coffee, and mouth wash, facial wash\"], [\"what fruits did I buy from the grocery store on 2012/10/15?\", \"pineapples, apples, cherres, blueberries\"], [\"what drinks did I buy from the grocery store on 2012/10/15?\", \"milk, mineral water, pineapple juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2012/10/15?\", \"mouth wash, facial wash\"], [\"who was with me at the grocery store on 2012/10/15?\", \"Carter, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4271\", \"logical_representation\": [\"2012/10/15\", \"biking\"], \"text_template_based\": \"I did biking on 2012/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4272\", \"logical_representation\": [\"2012/10/15\", \"dinner\", \"sushi\", \"Piper, Olivia, Hazel, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/10/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4273\", \"logical_representation\": [\"2012/10/15\", \"Eva, Avery, Hazel\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Eva, Avery, Hazel for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Hazel in the early afternoon on 2012/10/15?\", \"42 minutes\"], [\"who did I talk to on 2012/10/15?\", \"Eva, Avery, Hazel\"], [\"Did I talk to Eva, Avery, Hazel on 2012/10/15?\", \"yes\"], [\"Did I talk to anyone on 2012/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4274\", \"logical_representation\": [\"2012/10/15\", \"Olivia\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I talked to Olivia for 20 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2012/10/15?\", \"20 minutes\"], [\"who did I talk to on 2012/10/15?\", \"Olivia\"], [\"Did I talk to Olivia on 2012/10/15?\", \"yes\"], [\"Did I talk to anyone on 2012/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4275\", \"logical_representation\": [\"2012/10/15\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/10/15?\", \"50 minutes\"], [\"what did I read on 2012/10/15?\", \"social media\"], [\"Did I read on 2012/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4276\", \"logical_representation\": [\"2012/10/15\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I watched a movie for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/15?\", \"33 minutes\"], [\"what did I watch on tv on 2012/10/15?\", \"a movie\"], [\"Did I watch tv on 2012/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/19\": {\"grocery\": {\"eid\": \"e3153\", \"logical_representation\": [\"2012/10/19\", \"I bought some nectarines, clementines, pears, tea, sports drinks, paper towel, toothpaste, facial wash, shampoo from the grocery store. I saw Lydia, Piper, Eva, Piper at the grocery store.\", \"nectarines, clementines, pears\", \"tea, sports drinks\", \"paper towel, toothpaste, facial wash, shampoo\", \"Lydia, Piper, Eva, Piper\"], \"text_template_based\": \"I bought some nectarines, clementines, pears, tea, sports drinks, paper towel, toothpaste, facial wash, shampoo from the grocery store. I saw Lydia, Piper, Eva, Piper at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/10/19?\", \"nectarines, clementines, pears, tea, sports drinks, and paper towel, toothpaste, facial wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2012/10/19?\", \"nectarines, clementines, pears\"], [\"what drinks did I buy from the grocery store on 2012/10/19?\", \"tea, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2012/10/19?\", \"paper towel, toothpaste, facial wash, shampoo\"], [\"who did I see at the grocery store on 2012/10/19?\", \"Lydia, Piper, Eva, Piper\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4290\", \"logical_representation\": [\"2012/10/19\", \"lunch\", \"fish and chips\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/10/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4291\", \"logical_representation\": [\"2012/10/19\", \"Eva, Olivia, Lydia\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Eva, Olivia, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Lydia during lunch hours on 2012/10/19?\", \"24 minutes\"], [\"who did I talk to on 2012/10/19?\", \"Eva, Olivia, Lydia\"], [\"Did I talk to Eva, Olivia, Lydia on 2012/10/19?\", \"yes\"], [\"Did I talk to anyone on 2012/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4292\", \"logical_representation\": [\"2012/10/19\", \"Claire, Nevaeh, Piper\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Claire, Nevaeh, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Piper in the late afternoon on 2012/10/19?\", \"40 minutes\"], [\"who did I talk to on 2012/10/19?\", \"Claire, Nevaeh, Piper\"], [\"Did I talk to Claire, Nevaeh, Piper on 2012/10/19?\", \"yes\"], [\"Did I talk to anyone on 2012/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4293\", \"logical_representation\": [\"2012/10/19\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/10/19?\", \"25 minutes\"], [\"what did I read on 2012/10/19?\", \"a book\"], [\"Did I read on 2012/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4294\", \"logical_representation\": [\"2012/10/19\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/19?\", \"13 minutes\"], [\"what did I watch on tv on 2012/10/19?\", \"a tv series\"], [\"Did I watch tv on 2012/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/22\": {\"grocery\": {\"eid\": \"e3154\", \"logical_representation\": [\"2012/10/22\", \"I went grocery shopping. I bought some raspberries, apple juice, tea, soda, mineral water, and toothpaste, toilet paper\", \"raspberries\", \"apple juice, tea, soda, mineral water\", \"toothpaste, toilet paper\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, apple juice, tea, soda, mineral water, and toothpaste, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/10/22?\", \"raspberries, apple juice, tea, soda, mineral water, and toothpaste, toilet paper\"], [\"what fruits did I buy from the grocery store on 2012/10/22?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2012/10/22?\", \"apple juice, tea, soda, mineral water\"], [\"what toiletries did I buy from the grocery store on 2012/10/22?\", \"toothpaste, toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4300\", \"logical_representation\": [\"2012/10/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/10/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4301\", \"logical_representation\": [\"2012/10/22\", \"breakfast\", \"pancakes\", \"Piper, Nora, Hazel, Rylee, Kinsley\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/10/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4302\", \"logical_representation\": [\"2012/10/22\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/10/22?\", \"Emily\"], [\"what did I eat for lunch on 2012/10/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4303\", \"logical_representation\": [\"2012/10/22\", \"Eva, Hazel, Piper\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Eva, Hazel, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Piper in the early afternoon on 2012/10/22?\", \"39 minutes\"], [\"who did I talk to on 2012/10/22?\", \"Eva, Hazel, Piper\"], [\"Did I talk to Eva, Hazel, Piper on 2012/10/22?\", \"yes\"], [\"Did I talk to anyone on 2012/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4304\", \"logical_representation\": [\"2012/10/22\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/10/22?\", \"54 minutes\"], [\"what did I read on 2012/10/22?\", \"social media\"], [\"Did I read on 2012/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/26\": {\"grocery\": {\"eid\": \"e3155\", \"logical_representation\": [\"2012/10/26\", \"I bought some blueberries, nectarines, mango juice, shaving cream, conditioner, toilet paper online.\", \"blueberries, nectarines\", \"mango juice\", \"shaving cream, conditioner, toilet paper\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I bought some blueberries, nectarines, mango juice, shaving cream, conditioner, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/10/26?\", \"blueberries, nectarines, mango juice, and shaving cream, conditioner, toilet paper\"], [\"what fruits did I buy online on 2012/10/26?\", \"blueberries, nectarines\"], [\"what drinks did I buy online on 2012/10/26?\", \"mango juice\"], [\"what toiletries did I buy online on 2012/10/26?\", \"shaving cream, conditioner, toilet paper\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4319\", \"logical_representation\": [\"2012/10/26\", \"dinner\", \"chinese food\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Carter, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/10/26?\", \"Andrew, Carter, Emily\"], [\"what did I eat for dinner on 2012/10/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4320\", \"logical_representation\": [\"2012/10/26\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/10/26?\", \"21 minutes\"], [\"what did I read on 2012/10/26?\", \"news\"], [\"Did I read on 2012/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4321\", \"logical_representation\": [\"2012/10/26\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/26?\", \"17 minutes\"], [\"what did I watch on tv on 2012/10/26?\", \"a movie\"], [\"Did I watch tv on 2012/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/06\": {\"dating\": {\"eid\": \"e3156\", \"logical_representation\": [\"2012/11/06\", \"Charles\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Charles on 2012/11/06 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/11/06\", \"Charles\"], [\"where did I go for the date on 2012/11/06\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4363\", \"logical_representation\": [\"2012/11/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/11/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4364\", \"logical_representation\": [\"2012/11/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Eva, Rylee, Lydia, Nevaeh, Claire\"], \"text_template_based\": \"I had breakfast with Avery, Eva, Rylee, Lydia, Nevaeh, Claire. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/11/06?\", \"Avery, Eva, Rylee, Lydia, Nevaeh, Claire\"], [\"what did I eat for breakfast on 2012/11/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4365\", \"logical_representation\": [\"2012/11/06\", \"lunch\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4366\", \"logical_representation\": [\"2012/11/06\", \"dinner\", \"tacos\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4367\", \"logical_representation\": [\"2012/11/06\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/11/06?\", \"40 minutes\"], [\"what did I read on 2012/11/06?\", \"news\"], [\"Did I read on 2012/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4368\", \"logical_representation\": [\"2012/11/06\", \"news\", \"18 minutes\"], \"text_template_based\": \"I watched news for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/06?\", \"18 minutes\"], [\"what did I watch on tv on 2012/11/06?\", \"news\"], [\"Did I watch tv on 2012/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/07\": {\"dating\": {\"eid\": \"e3157\", \"logical_representation\": [\"2012/11/07\", \"Oliver\", \"a park\"], \"text_template_based\": \"I went on a date with Oliver on 2012/11/07 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/11/07\", \"Oliver\"], [\"where did I go for the date on 2012/11/07\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3160\", \"logical_representation\": [\"2012/11/07\", \"I bought some apricots, pineapples, peaches, raspberries, guava juice, sports drinks, soda, pineapple juice, toothpaste, paper towel from the grocery store. I saw Andrew, Carter, Kayden at the grocery store.\", \"apricots, pineapples, peaches, raspberries\", \"guava juice, sports drinks, soda, pineapple juice\", \"toothpaste, paper towel\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I bought some apricots, pineapples, peaches, raspberries, guava juice, sports drinks, soda, pineapple juice, toothpaste, paper towel from the grocery store. I saw Andrew, Carter, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/11/07?\", \"apricots, pineapples, peaches, raspberries, guava juice, sports drinks, soda, pineapple juice, and toothpaste, paper towel\"], [\"what fruits did I buy from the grocery store on 2012/11/07?\", \"apricots, pineapples, peaches, raspberries\"], [\"what drinks did I buy from the grocery store on 2012/11/07?\", \"guava juice, sports drinks, soda, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2012/11/07?\", \"toothpaste, paper towel\"], [\"who did I see at the grocery store on 2012/11/07?\", \"Andrew, Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4369\", \"logical_representation\": [\"2012/11/07\", \"dinner\", \"sushi\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4370\", \"logical_representation\": [\"2012/11/07\", \"Piper, Nora\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Piper, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora in the morning on 2012/11/07?\", \"15 minutes\"], [\"who did I talk to on 2012/11/07?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2012/11/07?\", \"yes\"], [\"Did I talk to anyone on 2012/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4371\", \"logical_representation\": [\"2012/11/07\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/11/07?\", \"28 minutes\"], [\"what did I read on 2012/11/07?\", \"a book\"], [\"Did I read on 2012/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/10\": {\"hobbies\": {\"eid\": \"e3158\", \"logical_representation\": [\"2012/11/10\", \"I spent some time gardening on 2012/11/10.\", \"gardening\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I spent some time gardening on 2012/11/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2012/11/10\"], [\"On 2012/11/10, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4381\", \"logical_representation\": [\"2012/11/10\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/11/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4382\", \"logical_representation\": [\"2012/11/10\", \"lunch\", \"sushi\", \"Avery, Layla\"], \"text_template_based\": \"I had lunch with Avery, Layla. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/11/10?\", \"Avery, Layla\"], [\"what did I eat for lunch on 2012/11/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4383\", \"logical_representation\": [\"2012/11/10\", \"Lydia\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2012/11/10?\", \"33 minutes\"], [\"who did I talk to on 2012/11/10?\", \"Lydia\"], [\"Did I talk to Lydia on 2012/11/10?\", \"yes\"], [\"Did I talk to anyone on 2012/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/04\": {\"grocery\": {\"eid\": \"e3159\", \"logical_representation\": [\"2012/11/04\", \"I went grocery shopping. I bought some mandarins, raspberries, mangos, chocolate milk, sports drinks, and shaving cream, mouth wash\", \"mandarins, raspberries, mangos\", \"chocolate milk, sports drinks\", \"shaving cream, mouth wash\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, raspberries, mangos, chocolate milk, sports drinks, and shaving cream, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/11/04?\", \"mandarins, raspberries, mangos, chocolate milk, sports drinks, and shaving cream, mouth wash\"], [\"what fruits did I buy from the grocery store on 2012/11/04?\", \"mandarins, raspberries, mangos\"], [\"what drinks did I buy from the grocery store on 2012/11/04?\", \"chocolate milk, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2012/11/04?\", \"shaving cream, mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4353\", \"logical_representation\": [\"2012/11/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/11/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4354\", \"logical_representation\": [\"2012/11/04\", \"dinner\", \"fish and chips\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I had dinner with Willow, Avery, Jackson. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/11/04?\", \"Willow, Avery, Jackson\"], [\"what did I eat for dinner on 2012/11/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4355\", \"logical_representation\": [\"2012/11/04\", \"Rylee, Nora, Layla\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Rylee, Nora, Layla for 45 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Layla in the late afternoon on 2012/11/04?\", \"45 minutes\"], [\"who did I talk to on 2012/11/04?\", \"Rylee, Nora, Layla\"], [\"Did I talk to Rylee, Nora, Layla on 2012/11/04?\", \"yes\"], [\"Did I talk to anyone on 2012/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4356\", \"logical_representation\": [\"2012/11/04\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/11/04?\", \"19 minutes\"], [\"what did I read on 2012/11/04?\", \"news\"], [\"Did I read on 2012/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/13\": {\"dating\": {\"eid\": \"e3161\", \"logical_representation\": [\"2012/11/13\", \"Aurora\", \"a restaurant\"], \"text_template_based\": \"On 2012/11/13, I took Aurora on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/11/13\", \"Aurora\"], [\"where did I go for the date on 2012/11/13\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3162\", \"logical_representation\": [\"2012/11/13\", \"I bought some raspberries, sports drinks, chocolate milk, toothpaste, mouthwash, mouth wash, shampoo from the grocery store. I saw Rylee, Claire, Piper, Nevaeh, Hazel, Lydia, Avery, Eva, Piper at the grocery store.\", \"raspberries\", \"sports drinks, chocolate milk\", \"toothpaste, mouthwash, mouth wash, shampoo\", \"Rylee, Claire, Piper, Nevaeh, Hazel, Lydia, Avery, Eva, Piper\"], \"text_template_based\": \"I bought some raspberries, sports drinks, chocolate milk, toothpaste, mouthwash, mouth wash, shampoo from the grocery store. I saw Rylee, Claire, Piper, Nevaeh, Hazel, Lydia, Avery, Eva, Piper at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/11/13?\", \"raspberries, sports drinks, chocolate milk, and toothpaste, mouthwash, mouth wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2012/11/13?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2012/11/13?\", \"sports drinks, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2012/11/13?\", \"toothpaste, mouthwash, mouth wash, shampoo\"], [\"who did I see at the grocery store on 2012/11/13?\", \"Rylee, Claire, Piper, Nevaeh, Hazel, Lydia, Avery, Eva, Piper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4394\", \"logical_representation\": [\"2012/11/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/11/13?\", \"Kayden, Carter\"], [\"what did I eat for breakfast on 2012/11/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4395\", \"logical_representation\": [\"2012/11/13\", \"Piper, Avery, Nora\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Nora for 55 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Nora in the morning on 2012/11/13?\", \"55 minutes\"], [\"who did I talk to on 2012/11/13?\", \"Piper, Avery, Nora\"], [\"Did I talk to Piper, Avery, Nora on 2012/11/13?\", \"yes\"], [\"Did I talk to anyone on 2012/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4396\", \"logical_representation\": [\"2012/11/13\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/11/13?\", \"19 minutes\"], [\"what did I read on 2012/11/13?\", \"social media\"], [\"Did I read on 2012/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4397\", \"logical_representation\": [\"2012/11/13\", \"a tv series\", \"29 minutes\"], \"text_template_based\": \"I watched a tv series for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/13?\", \"29 minutes\"], [\"what did I watch on tv on 2012/11/13?\", \"a tv series\"], [\"Did I watch tv on 2012/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/24\": {\"dating\": {\"eid\": \"e3163\", \"logical_representation\": [\"2012/11/24\", \"Lily\", \"a park\"], \"text_template_based\": \"I went on a date with Lily on 2012/11/24 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/11/24\", \"Lily\"], [\"where did I go for the date on 2012/11/24\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4434\", \"logical_representation\": [\"2012/11/24\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/11/24?\", \"Kayden, Andrew\"], [\"what did I eat for breakfast on 2012/11/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4435\", \"logical_representation\": [\"2012/11/24\", \"lunch\", \"fish and chips\", \"Benjamin, Willow\"], \"text_template_based\": \"I had fish and chips for lunch with Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/11/24?\", \"Benjamin, Willow\"], [\"what did I eat for lunch on 2012/11/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4436\", \"logical_representation\": [\"2012/11/24\", \"Kinsley, Rylee, Layla\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Kinsley, Rylee, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Layla in the early afternoon on 2012/11/24?\", \"54 minutes\"], [\"who did I talk to on 2012/11/24?\", \"Kinsley, Rylee, Layla\"], [\"Did I talk to Kinsley, Rylee, Layla on 2012/11/24?\", \"yes\"], [\"Did I talk to anyone on 2012/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/22\": {\"grocery\": {\"eid\": \"e3164\", \"logical_representation\": [\"2012/11/22\", \"I bought some apples, strawberries, pineapples, apple juice, chocolate milk, shampoo, mouth wash, facial wash, body lotion from the grocery store. I saw Carter, Emily, Kayden at the grocery store.\", \"apples, strawberries, pineapples\", \"apple juice, chocolate milk\", \"shampoo, mouth wash, facial wash, body lotion\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I bought some apples, strawberries, pineapples, apple juice, chocolate milk, shampoo, mouth wash, facial wash, body lotion from the grocery store. I saw Carter, Emily, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/11/22?\", \"apples, strawberries, pineapples, apple juice, chocolate milk, and shampoo, mouth wash, facial wash, body lotion\"], [\"what fruits did I buy from the grocery store on 2012/11/22?\", \"apples, strawberries, pineapples\"], [\"what drinks did I buy from the grocery store on 2012/11/22?\", \"apple juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2012/11/22?\", \"shampoo, mouth wash, facial wash, body lotion\"], [\"who did I see at the grocery store on 2012/11/22?\", \"Carter, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4426\", \"logical_representation\": [\"2012/11/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/11/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4427\", \"logical_representation\": [\"2012/11/22\", \"lunch\", \"tacos\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had tacos for lunch with Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/11/22?\", \"Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2012/11/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4428\", \"logical_representation\": [\"2012/11/22\", \"Hazel\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Hazel for 42 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2012/11/22?\", \"42 minutes\"], [\"who did I talk to on 2012/11/22?\", \"Hazel\"], [\"Did I talk to Hazel on 2012/11/22?\", \"yes\"], [\"Did I talk to anyone on 2012/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4429\", \"logical_representation\": [\"2012/11/22\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/11/22?\", \"17 minutes\"], [\"what did I read on 2012/11/22?\", \"news\"], [\"Did I read on 2012/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4430\", \"logical_representation\": [\"2012/11/22\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/22?\", \"22 minutes\"], [\"what did I watch on tv on 2012/11/22?\", \"a documentary\"], [\"Did I watch tv on 2012/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/27\": {\"hobbies\": {\"eid\": \"e3165\", \"logical_representation\": [\"2012/11/27\", \"I spent some time working out on 2012/11/27.\", \"working out\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I spent some time working out on 2012/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2012/11/27\"], [\"On 2012/11/27, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4445\", \"logical_representation\": [\"2012/11/27\", \"running\"], \"text_template_based\": \"I did running on 2012/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4446\", \"logical_representation\": [\"2012/11/27\", \"dinner\", \"sushi\", \"Emily\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4447\", \"logical_representation\": [\"2012/11/27\", \"Kinsley, Eva, Avery, Rylee\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva, Avery, Rylee for 52 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Avery, Rylee in the early afternoon on 2012/11/27?\", \"52 minutes\"], [\"who did I talk to on 2012/11/27?\", \"Kinsley, Eva, Avery, Rylee\"], [\"Did I talk to Kinsley, Eva, Avery, Rylee on 2012/11/27?\", \"yes\"], [\"Did I talk to anyone on 2012/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4448\", \"logical_representation\": [\"2012/11/27\", \"Layla\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I talked to Layla for 42 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla during lunch hours on 2012/11/27?\", \"42 minutes\"], [\"who did I talk to on 2012/11/27?\", \"Layla\"], [\"Did I talk to Layla on 2012/11/27?\", \"yes\"], [\"Did I talk to anyone on 2012/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4449\", \"logical_representation\": [\"2012/11/27\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/11/27?\", \"28 minutes\"], [\"what did I read on 2012/11/27?\", \"news\"], [\"Did I read on 2012/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4450\", \"logical_representation\": [\"2012/11/27\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/27?\", \"43 minutes\"], [\"what did I watch on tv on 2012/11/27?\", \"news\"], [\"Did I watch tv on 2012/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/28\": {\"hobbies\": {\"eid\": \"e3166\", \"logical_representation\": [\"2012/11/28\", \"I spent some time yoga on 2012/11/28.\", \"yoga\", \"Andrew, Emily\"], \"text_template_based\": \"I spent some time yoga on 2012/11/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2012/11/28\"], [\"On 2012/11/28, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4451\", \"logical_representation\": [\"2012/11/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/11/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4452\", \"logical_representation\": [\"2012/11/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/11/28?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2012/11/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4453\", \"logical_representation\": [\"2012/11/28\", \"lunch\", \"pasta\", \"Rylee\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/28\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4454\", \"logical_representation\": [\"2012/11/28\", \"Nevaeh\", \"in the morning\", \"21 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 21 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2012/11/28?\", \"21 minutes\"], [\"who did I talk to on 2012/11/28?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2012/11/28?\", \"yes\"], [\"Did I talk to anyone on 2012/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4455\", \"logical_representation\": [\"2012/11/28\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/11/28?\", \"27 minutes\"], [\"what did I read on 2012/11/28?\", \"a book\"], [\"Did I read on 2012/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4456\", \"logical_representation\": [\"2012/11/28\", \"a documentary\", \"11 minutes\"], \"text_template_based\": \"I watched a documentary for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/28?\", \"11 minutes\"], [\"what did I watch on tv on 2012/11/28?\", \"a documentary\"], [\"Did I watch tv on 2012/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/25\": {\"grocery\": {\"eid\": \"e3167\", \"logical_representation\": [\"2012/11/25\", \"I bought some clementines, blackberries, apples, blueberries, mineral water, guava juice, mouth wash, facial wash from the grocery store. I saw Jackson, Avery, Willow at the grocery store.\", \"clementines, blackberries, apples, blueberries\", \"mineral water, guava juice\", \"mouth wash, facial wash\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I bought some clementines, blackberries, apples, blueberries, mineral water, guava juice, mouth wash, facial wash from the grocery store. I saw Jackson, Avery, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/11/25?\", \"clementines, blackberries, apples, blueberries, mineral water, guava juice, and mouth wash, facial wash\"], [\"what fruits did I buy from the grocery store on 2012/11/25?\", \"clementines, blackberries, apples, blueberries\"], [\"what drinks did I buy from the grocery store on 2012/11/25?\", \"mineral water, guava juice\"], [\"what toiletries did I buy from the grocery store on 2012/11/25?\", \"mouth wash, facial wash\"], [\"who did I see at the grocery store on 2012/11/25?\", \"Jackson, Avery, Willow\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4437\", \"logical_representation\": [\"2012/11/25\", \"lunch\", \"a burger\", \"Carter\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4438\", \"logical_representation\": [\"2012/11/25\", \"Olivia\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I talked to Olivia for 40 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the morning on 2012/11/25?\", \"40 minutes\"], [\"who did I talk to on 2012/11/25?\", \"Olivia\"], [\"Did I talk to Olivia on 2012/11/25?\", \"yes\"], [\"Did I talk to anyone on 2012/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4439\", \"logical_representation\": [\"2012/11/25\", \"social media\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/11/25?\", \"41 minutes\"], [\"what did I read on 2012/11/25?\", \"social media\"], [\"Did I read on 2012/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4440\", \"logical_representation\": [\"2012/11/25\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I watched a movie for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/25?\", \"19 minutes\"], [\"what did I watch on tv on 2012/11/25?\", \"a movie\"], [\"Did I watch tv on 2012/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/03\": {\"dating\": {\"eid\": \"e3168\", \"logical_representation\": [\"2012/12/03\", \"Leonardo\", \"a park\"], \"text_template_based\": \"I went on a date with Leonardo on 2012/12/03 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/12/03\", \"Leonardo\"], [\"where did I go for the date on 2012/12/03\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4468\", \"logical_representation\": [\"2012/12/03\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Emily, Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/12/03?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2012/12/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4469\", \"logical_representation\": [\"2012/12/03\", \"lunch\", \"sushi\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/12/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4470\", \"logical_representation\": [\"2012/12/03\", \"dinner\", \"a burger\", \"Olivia, Nevaeh, Nora, Claire, Layla, Hazel, Rylee, Eva, Avery\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4471\", \"logical_representation\": [\"2012/12/03\", \"Nora, Claire\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Nora, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire in the late afternoon on 2012/12/03?\", \"39 minutes\"], [\"who did I talk to on 2012/12/03?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2012/12/03?\", \"yes\"], [\"Did I talk to anyone on 2012/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4472\", \"logical_representation\": [\"2012/12/03\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/03?\", \"20 minutes\"], [\"what did I watch on tv on 2012/12/03?\", \"news\"], [\"Did I watch tv on 2012/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/08\": {\"hobbies\": {\"eid\": \"e3169\", \"logical_representation\": [\"2012/12/08\", \"I spent time meditation on 2012/12/08 with Andrew.\", \"meditation\", \"Andrew\"], \"text_template_based\": \"I spent time meditation on 2012/12/08 with Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Andrew?\", \"2012/12/08\"], [\"On 2012/12/08, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2012/12/08?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3170\", \"logical_representation\": [\"2012/12/08\", \"I bought some oranges, mangos, strawberries, mineral water, coffee, mango juice, conditioner, paper towel, toothpaste online.\", \"oranges, mangos, strawberries\", \"mineral water, coffee, mango juice\", \"conditioner, paper towel, toothpaste\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I bought some oranges, mangos, strawberries, mineral water, coffee, mango juice, conditioner, paper towel, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/12/08?\", \"oranges, mangos, strawberries, mineral water, coffee, mango juice, and conditioner, paper towel, toothpaste\"], [\"what fruits did I buy online on 2012/12/08?\", \"oranges, mangos, strawberries\"], [\"what drinks did I buy online on 2012/12/08?\", \"mineral water, coffee, mango juice\"], [\"what toiletries did I buy online on 2012/12/08?\", \"conditioner, paper towel, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4487\", \"logical_representation\": [\"2012/12/08\", \"running\"], \"text_template_based\": \"I did running on 2012/12/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4488\", \"logical_representation\": [\"2012/12/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4489\", \"logical_representation\": [\"2012/12/08\", \"lunch\", \"steak\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/12/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4490\", \"logical_representation\": [\"2012/12/08\", \"dinner\", \"sushi\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Emily, Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/12/08?\", \"Carter, Emily, Kayden\"], [\"what did I eat for dinner on 2012/12/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4491\", \"logical_representation\": [\"2012/12/08\", \"Olivia, Piper, Eva, Piper\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Eva, Piper for 25 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Eva, Piper in the late afternoon on 2012/12/08?\", \"25 minutes\"], [\"who did I talk to on 2012/12/08?\", \"Olivia, Piper, Eva, Piper\"], [\"Did I talk to Olivia, Piper, Eva, Piper on 2012/12/08?\", \"yes\"], [\"Did I talk to anyone on 2012/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4492\", \"logical_representation\": [\"2012/12/08\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/12/08?\", \"22 minutes\"], [\"what did I read on 2012/12/08?\", \"news\"], [\"Did I read on 2012/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4493\", \"logical_representation\": [\"2012/12/08\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/08?\", \"13 minutes\"], [\"what did I watch on tv on 2012/12/08?\", \"a tv series\"], [\"Did I watch tv on 2012/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/13\": {\"hobbies\": {\"eid\": \"e3171\", \"logical_representation\": [\"2012/12/13\", \"I really enjoyed learning a language on 2012/12/13\", \"learning a language\", \"Rylee, Layla, Nevaeh\"], \"text_template_based\": \"I really enjoyed learning a language on 2012/12/13\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2012/12/13\"], [\"On 2012/12/13, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4509\", \"logical_representation\": [\"2012/12/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/12/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4510\", \"logical_representation\": [\"2012/12/13\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4511\", \"logical_representation\": [\"2012/12/13\", \"lunch\", \"sandwich\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had sandwich for lunch with Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/12/13?\", \"Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2012/12/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4512\", \"logical_representation\": [\"2012/12/13\", \"dinner\", \"fish and chips\", \"Piper, Rylee, Hazel, Claire, Avery, Layla, Olivia, Lydia, Eva, Kinsley, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4513\", \"logical_representation\": [\"2012/12/13\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/12/13?\", \"34 minutes\"], [\"what did I read on 2012/12/13?\", \"a book\"], [\"Did I read on 2012/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4514\", \"logical_representation\": [\"2012/12/13\", \"news\", \"10 minutes\"], \"text_template_based\": \"I watched news for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/13?\", \"10 minutes\"], [\"what did I watch on tv on 2012/12/13?\", \"news\"], [\"Did I watch tv on 2012/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/10\": {\"grocery\": {\"eid\": \"e3172\", \"logical_representation\": [\"2012/12/10\", \"I went grocery shopping. I bought some watermelons, milk, mango juice, soda, guava juice, and paper towel, toilet paper, shaving cream\", \"watermelons\", \"milk, mango juice, soda, guava juice\", \"paper towel, toilet paper, shaving cream\", \"Hazel, Rylee, Piper, Layla, Olivia\"], \"text_template_based\": \"I went grocery shopping. I bought some watermelons, milk, mango juice, soda, guava juice, and paper towel, toilet paper, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/12/10?\", \"watermelons, milk, mango juice, soda, guava juice, and paper towel, toilet paper, shaving cream\"], [\"what fruits did I buy from the grocery store on 2012/12/10?\", \"watermelons\"], [\"what drinks did I buy from the grocery store on 2012/12/10?\", \"milk, mango juice, soda, guava juice\"], [\"what toiletries did I buy from the grocery store on 2012/12/10?\", \"paper towel, toilet paper, shaving cream\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4496\", \"logical_representation\": [\"2012/12/10\", \"lunch\", \"sushi\", \"Nevaeh, Layla, Olivia, Avery, Piper\"], \"text_template_based\": \"I had sushi for lunch with Nevaeh, Layla, Olivia, Avery, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/12/10?\", \"Nevaeh, Layla, Olivia, Avery, Piper\"], [\"what did I eat for lunch on 2012/12/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4497\", \"logical_representation\": [\"2012/12/10\", \"dinner\", \"tacos\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/12/10?\", \"Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2012/12/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4498\", \"logical_representation\": [\"2012/12/10\", \"Nevaeh, Olivia\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia for 23 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia during lunch hours on 2012/12/10?\", \"23 minutes\"], [\"who did I talk to on 2012/12/10?\", \"Nevaeh, Olivia\"], [\"Did I talk to Nevaeh, Olivia on 2012/12/10?\", \"yes\"], [\"Did I talk to anyone on 2012/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4499\", \"logical_representation\": [\"2012/12/10\", \"Eva, Nora, Avery\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Eva, Nora, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Avery late in the evening on 2012/12/10?\", \"49 minutes\"], [\"who did I talk to on 2012/12/10?\", \"Eva, Nora, Avery\"], [\"Did I talk to Eva, Nora, Avery on 2012/12/10?\", \"yes\"], [\"Did I talk to anyone on 2012/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4500\", \"logical_representation\": [\"2012/12/10\", \"a documentary\", \"45 minutes\"], \"text_template_based\": \"I watched a documentary for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/10?\", \"45 minutes\"], [\"what did I watch on tv on 2012/12/10?\", \"a documentary\"], [\"Did I watch tv on 2012/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/12\": {\"grocery\": {\"eid\": \"e3173\", \"logical_representation\": [\"2012/12/12\", \"I went grocery shopping. I bought some raspberries, cherres, mangos, tea, guava juice, apple juice, coffee, and toilet paper\", \"raspberries, cherres, mangos\", \"tea, guava juice, apple juice, coffee\", \"toilet paper\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, cherres, mangos, tea, guava juice, apple juice, coffee, and toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/12/12?\", \"raspberries, cherres, mangos, tea, guava juice, apple juice, coffee, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2012/12/12?\", \"raspberries, cherres, mangos\"], [\"what drinks did I buy from the grocery store on 2012/12/12?\", \"tea, guava juice, apple juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2012/12/12?\", \"toilet paper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4505\", \"logical_representation\": [\"2012/12/12\", \"breakfast\", \"pancakes\", \"Piper, Eva, Layla, Nora, Olivia, Avery, Piper, Hazel, Lydia\"], \"text_template_based\": \"I had breakfast with Piper, Eva, Layla, Nora, Olivia, Avery, Piper, Hazel, Lydia. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/12/12?\", \"Piper, Eva, Layla, Nora, Olivia, Avery, Piper, Hazel, Lydia\"], [\"what did I eat for breakfast on 2012/12/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4506\", \"logical_representation\": [\"2012/12/12\", \"lunch\", \"steak\", \"Andrew, Carter\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/12/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4507\", \"logical_representation\": [\"2012/12/12\", \"dinner\", \"fish and chips\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Emily, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/12/12?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for dinner on 2012/12/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4508\", \"logical_representation\": [\"2012/12/12\", \"Hazel, Piper, Lydia, Claire\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Lydia, Claire for 45 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Lydia, Claire in the late afternoon on 2012/12/12?\", \"45 minutes\"], [\"who did I talk to on 2012/12/12?\", \"Hazel, Piper, Lydia, Claire\"], [\"Did I talk to Hazel, Piper, Lydia, Claire on 2012/12/12?\", \"yes\"], [\"Did I talk to anyone on 2012/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/19\": {\"dating\": {\"eid\": \"e3174\", \"logical_representation\": [\"2012/12/19\", \"Quinn\", \"a restaurant\"], \"text_template_based\": \"On 2012/12/19, I took Quinn on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/12/19\", \"Quinn\"], [\"where did I go for the date on 2012/12/19\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4535\", \"logical_representation\": [\"2012/12/19\", \"running\"], \"text_template_based\": \"I did running on 2012/12/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4536\", \"logical_representation\": [\"2012/12/19\", \"Claire\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2012/12/19?\", \"14 minutes\"], [\"who did I talk to on 2012/12/19?\", \"Claire\"], [\"Did I talk to Claire on 2012/12/19?\", \"yes\"], [\"Did I talk to anyone on 2012/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4537\", \"logical_representation\": [\"2012/12/19\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/12/19?\", \"51 minutes\"], [\"what did I read on 2012/12/19?\", \"news\"], [\"Did I read on 2012/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/17\": {\"grocery\": {\"eid\": \"e3175\", \"logical_representation\": [\"2012/12/17\", \"I bought some cherres, apples, mineral water, tea, mouthwash, toothpaste, conditioner, paper towel from the grocery store. I saw Jackson, Benjamin, Avery, Willow at the grocery store.\", \"cherres, apples\", \"mineral water, tea\", \"mouthwash, toothpaste, conditioner, paper towel\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I bought some cherres, apples, mineral water, tea, mouthwash, toothpaste, conditioner, paper towel from the grocery store. I saw Jackson, Benjamin, Avery, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/12/17?\", \"cherres, apples, mineral water, tea, and mouthwash, toothpaste, conditioner, paper towel\"], [\"what fruits did I buy from the grocery store on 2012/12/17?\", \"cherres, apples\"], [\"what drinks did I buy from the grocery store on 2012/12/17?\", \"mineral water, tea\"], [\"what toiletries did I buy from the grocery store on 2012/12/17?\", \"mouthwash, toothpaste, conditioner, paper towel\"], [\"who did I see at the grocery store on 2012/12/17?\", \"Jackson, Benjamin, Avery, Willow\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4526\", \"logical_representation\": [\"2012/12/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/12/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4527\", \"logical_representation\": [\"2012/12/17\", \"dinner\", \"indian food\", \"Emily, Andrew\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4528\", \"logical_representation\": [\"2012/12/17\", \"Layla, Lydia, Hazel\", \"in the early evening\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Layla, Lydia, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Hazel in the early evening on 2012/12/17?\", \"8 minutes\"], [\"who did I talk to on 2012/12/17?\", \"Layla, Lydia, Hazel\"], [\"Did I talk to Layla, Lydia, Hazel on 2012/12/17?\", \"yes\"], [\"Did I talk to anyone on 2012/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4529\", \"logical_representation\": [\"2012/12/17\", \"social media\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/12/17?\", \"15 minutes\"], [\"what did I read on 2012/12/17?\", \"social media\"], [\"Did I read on 2012/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/21\": {\"grocery\": {\"eid\": \"e3176\", \"logical_representation\": [\"2012/12/21\", \"I went grocery shopping with Willow, Jackson. I bought some pineapples, milk, guava juice, and toothpaste, shampoo, body lotion, mouthwash\", \"pineapples\", \"milk, guava juice\", \"toothpaste, shampoo, body lotion, mouthwash\", \"Willow, Jackson\"], \"text_template_based\": \"I went grocery shopping with Willow, Jackson. I bought some pineapples, milk, guava juice, and toothpaste, shampoo, body lotion, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/12/21?\", \"pineapples, milk, guava juice, and toothpaste, shampoo, body lotion, mouthwash\"], [\"what fruits did I buy from the grocery store on 2012/12/21?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2012/12/21?\", \"milk, guava juice\"], [\"what toiletries did I buy from the grocery store on 2012/12/21?\", \"toothpaste, shampoo, body lotion, mouthwash\"], [\"who was with me at the grocery store on 2012/12/21?\", \"Willow, Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4543\", \"logical_representation\": [\"2012/12/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4544\", \"logical_representation\": [\"2012/12/21\", \"dinner\", \"steak\", \"Piper, Claire, Kinsley, Nevaeh, Rylee, Eva, Hazel, Olivia, Lydia, Avery\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4545\", \"logical_representation\": [\"2012/12/21\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/12/21?\", \"11 minutes\"], [\"what did I read on 2012/12/21?\", \"news\"], [\"Did I read on 2012/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/01\": {\"lunch\": {\"eid\": \"e3177\", \"logical_representation\": [\"2012/01/01\", \"lunch\", \"steak\", \"Claire, Piper, Layla, Hazel, Piper, Eva\"], \"text_template_based\": \"I had steak for lunch with Claire, Piper, Layla, Hazel, Piper, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/01/01?\", \"Claire, Piper, Layla, Hazel, Piper, Eva\"], [\"what did I eat for lunch on 2012/01/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3178\", \"logical_representation\": [\"2012/01/01\", \"Kinsley, Rylee, Claire, Piper\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee, Claire, Piper for 18 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Claire, Piper in the early evening on 2012/01/01?\", \"18 minutes\"], [\"who did I talk to on 2012/01/01?\", \"Kinsley, Rylee, Claire, Piper\"], [\"Did I talk to Kinsley, Rylee, Claire, Piper on 2012/01/01?\", \"yes\"], [\"Did I talk to anyone on 2012/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/02\": {\"exercise\": {\"eid\": \"e3179\", \"logical_representation\": [\"2012/01/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/01/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/01/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2012/01/03\": {\"lunch\": {\"eid\": \"e3180\", \"logical_representation\": [\"2012/01/03\", \"lunch\", \"a burger\", \"Lydia, Claire, Rylee, Nora, Kinsley, Olivia, Eva, Avery\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3181\", \"logical_representation\": [\"2012/01/03\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/01/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3182\", \"logical_representation\": [\"2012/01/03\", \"a tv series\", \"52 minutes\"], \"text_template_based\": \"I watched a tv series for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/01/03?\", \"52 minutes\"], [\"what did I watch on tv on 2012/01/03?\", \"a tv series\"], [\"Did I watch tv on 2012/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/04\": {\"exercise\": {\"eid\": \"e3183\", \"logical_representation\": [\"2012/01/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/01/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/01/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3184\", \"logical_representation\": [\"2012/01/04\", \"breakfast\", \"oatmeal\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/01/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3185\", \"logical_representation\": [\"2012/01/04\", \"lunch\", \"sushi\", \"Carter, Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3186\", \"logical_representation\": [\"2012/01/04\", \"dinner\", \"pasta\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/01/04\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2012/01/05\": {\"breakfast\": {\"eid\": \"e3187\", \"logical_representation\": [\"2012/01/05\", \"breakfast\", \"pancakes\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/01/05\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3188\", \"logical_representation\": [\"2012/01/05\", \"dinner\", \"steak\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/01/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3189\", \"logical_representation\": [\"2012/01/05\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/01/05?\", \"17 minutes\"], [\"what did I read on 2012/01/05?\", \"a book\"], [\"Did I read on 2012/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/06\": {\"breakfast\": {\"eid\": \"e3190\", \"logical_representation\": [\"2012/01/06\", \"breakfast\", \"peanut-butter-jam\", \"Nora, Piper, Avery, Eva, Rylee, Lydia, Kinsley\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Nora, Piper, Avery, Eva, Rylee, Lydia, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/01/06?\", \"Nora, Piper, Avery, Eva, Rylee, Lydia, Kinsley\"], [\"what did I eat for breakfast on 2012/01/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3191\", \"logical_representation\": [\"2012/01/06\", \"lunch\", \"steak\", \"Kayden\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3192\", \"logical_representation\": [\"2012/01/06\", \"dinner\", \"chinese food\", \"Piper, Rylee, Nora\"], \"text_template_based\": \"I had chinese food for dinner with Piper, Rylee, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/01/06?\", \"Piper, Rylee, Nora\"], [\"what did I eat for dinner on 2012/01/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3193\", \"logical_representation\": [\"2012/01/06\", \"Nevaeh, Rylee, Layla\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Nevaeh, Rylee, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Layla in the morning on 2012/01/06?\", \"14 minutes\"], [\"who did I talk to on 2012/01/06?\", \"Nevaeh, Rylee, Layla\"], [\"Did I talk to Nevaeh, Rylee, Layla on 2012/01/06?\", \"yes\"], [\"Did I talk to anyone on 2012/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3194\", \"logical_representation\": [\"2012/01/06\", \"Nora, Layla, Avery, Claire\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I talked to Nora, Layla, Avery, Claire for 49 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Avery, Claire in the morning on 2012/01/06?\", \"49 minutes\"], [\"who did I talk to on 2012/01/06?\", \"Nora, Layla, Avery, Claire\"], [\"Did I talk to Nora, Layla, Avery, Claire on 2012/01/06?\", \"yes\"], [\"Did I talk to anyone on 2012/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3195\", \"logical_representation\": [\"2012/01/06\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I watched a documentary for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/01/06?\", \"42 minutes\"], [\"what did I watch on tv on 2012/01/06?\", \"a documentary\"], [\"Did I watch tv on 2012/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/07\": {\"breakfast\": {\"eid\": \"e3196\", \"logical_representation\": [\"2012/01/07\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Kinsley, Rylee, Hazel, Eva, Piper, Nevaeh, Avery, Nora, Claire, Olivia, Layla\"], \"text_template_based\": \"I had breakfast with Lydia, Kinsley, Rylee, Hazel, Eva, Piper, Nevaeh, Avery, Nora, Claire, Olivia, Layla. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/01/07?\", \"Lydia, Kinsley, Rylee, Hazel, Eva, Piper, Nevaeh, Avery, Nora, Claire, Olivia, Layla\"], [\"what did I eat for breakfast on 2012/01/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3197\", \"logical_representation\": [\"2012/01/07\", \"lunch\", \"fish and chips\", \"Avery, Jackson\"], \"text_template_based\": \"I had fish and chips for lunch with Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/01/07?\", \"Avery, Jackson\"], [\"what did I eat for lunch on 2012/01/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3198\", \"logical_representation\": [\"2012/01/07\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/01/07?\", \"Emily\"], [\"what did I eat for dinner on 2012/01/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3199\", \"logical_representation\": [\"2012/01/07\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/01/07?\", \"45 minutes\"], [\"what did I read on 2012/01/07?\", \"a book\"], [\"Did I read on 2012/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/09\": {\"exercise\": {\"eid\": \"e3202\", \"logical_representation\": [\"2012/01/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/01/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/01/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3203\", \"logical_representation\": [\"2012/01/09\", \"dinner\", \"sandwich\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/01/09?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2012/01/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3204\", \"logical_representation\": [\"2012/01/09\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/01/09?\", \"18 minutes\"], [\"what did I read on 2012/01/09?\", \"social media\"], [\"Did I read on 2012/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3205\", \"logical_representation\": [\"2012/01/09\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/01/09?\", \"20 minutes\"], [\"what did I watch on tv on 2012/01/09?\", \"a documentary\"], [\"Did I watch tv on 2012/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/10\": {\"exercise\": {\"eid\": \"e3206\", \"logical_representation\": [\"2012/01/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/01/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/01/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3207\", \"logical_representation\": [\"2012/01/10\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/01/10\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3208\", \"logical_representation\": [\"2012/01/10\", \"lunch\", \"a burger\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/10\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2012/01/11\": {\"lunch\": {\"eid\": \"e3209\", \"logical_representation\": [\"2012/01/11\", \"lunch\", \"fish and chips\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3210\", \"logical_representation\": [\"2012/01/11\", \"dinner\", \"fish and chips\", \"Nevaeh, Rylee, Layla, Eva, Olivia, Lydia, Avery, Hazel, Piper\"], \"text_template_based\": \"I had dinner with Nevaeh, Rylee, Layla, Eva, Olivia, Lydia, Avery, Hazel, Piper. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/01/11?\", \"Nevaeh, Rylee, Layla, Eva, Olivia, Lydia, Avery, Hazel, Piper\"], [\"what did I eat for dinner on 2012/01/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3211\", \"logical_representation\": [\"2012/01/11\", \"Eva, Olivia\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Eva, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia during lunch hours on 2012/01/11?\", \"28 minutes\"], [\"who did I talk to on 2012/01/11?\", \"Eva, Olivia\"], [\"Did I talk to Eva, Olivia on 2012/01/11?\", \"yes\"], [\"Did I talk to anyone on 2012/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3212\", \"logical_representation\": [\"2012/01/11\", \"Eva, Rylee, Lydia, Claire\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Eva, Rylee, Lydia, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Lydia, Claire late in the evening on 2012/01/11?\", \"36 minutes\"], [\"who did I talk to on 2012/01/11?\", \"Eva, Rylee, Lydia, Claire\"], [\"Did I talk to Eva, Rylee, Lydia, Claire on 2012/01/11?\", \"yes\"], [\"Did I talk to anyone on 2012/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3213\", \"logical_representation\": [\"2012/01/11\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/01/11?\", \"35 minutes\"], [\"what did I read on 2012/01/11?\", \"social media\"], [\"Did I read on 2012/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/13\": {\"exercise\": {\"eid\": \"e3217\", \"logical_representation\": [\"2012/01/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/01/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/01/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3218\", \"logical_representation\": [\"2012/01/13\", \"breakfast\", \"pancakes\", \"Benjamin\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/01/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3219\", \"logical_representation\": [\"2012/01/13\", \"dinner\", \"sandwich\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/01/13?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2012/01/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3220\", \"logical_representation\": [\"2012/01/13\", \"Claire, Nevaeh, Layla, Avery\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I talked to Claire, Nevaeh, Layla, Avery for 41 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Layla, Avery during lunch hours on 2012/01/13?\", \"41 minutes\"], [\"who did I talk to on 2012/01/13?\", \"Claire, Nevaeh, Layla, Avery\"], [\"Did I talk to Claire, Nevaeh, Layla, Avery on 2012/01/13?\", \"yes\"], [\"Did I talk to anyone on 2012/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3221\", \"logical_representation\": [\"2012/01/13\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I watched a movie for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/01/13?\", \"6 minutes\"], [\"what did I watch on tv on 2012/01/13?\", \"a movie\"], [\"Did I watch tv on 2012/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/14\": {\"breakfast\": {\"eid\": \"e3222\", \"logical_representation\": [\"2012/01/14\", \"breakfast\", \"peanut-butter-jam\", \"Hazel, Nora, Claire, Piper, Rylee, Kinsley, Piper, Lydia, Eva, Nevaeh, Olivia\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Hazel, Nora, Claire, Piper, Rylee, Kinsley, Piper, Lydia, Eva, Nevaeh, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/01/14?\", \"Hazel, Nora, Claire, Piper, Rylee, Kinsley, Piper, Lydia, Eva, Nevaeh, Olivia\"], [\"what did I eat for breakfast on 2012/01/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3223\", \"logical_representation\": [\"2012/01/14\", \"lunch\", \"steak\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3224\", \"logical_representation\": [\"2012/01/14\", \"dinner\", \"pasta\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/01/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3225\", \"logical_representation\": [\"2012/01/14\", \"Piper, Olivia\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia for 53 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia late in the evening on 2012/01/14?\", \"53 minutes\"], [\"who did I talk to on 2012/01/14?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2012/01/14?\", \"yes\"], [\"Did I talk to anyone on 2012/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/16\": {\"exercise\": {\"eid\": \"e3228\", \"logical_representation\": [\"2012/01/16\", \"running\"], \"text_template_based\": \"I did running on 2012/01/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/01/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3229\", \"logical_representation\": [\"2012/01/16\", \"lunch\", \"fish and chips\", \"Avery, Willow\"], \"text_template_based\": \"I had lunch with Avery, Willow. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/01/16?\", \"Avery, Willow\"], [\"what did I eat for lunch on 2012/01/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3230\", \"logical_representation\": [\"2012/01/16\", \"Piper, Nevaeh, Layla\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Piper, Nevaeh, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Layla in the early evening on 2012/01/16?\", \"43 minutes\"], [\"who did I talk to on 2012/01/16?\", \"Piper, Nevaeh, Layla\"], [\"Did I talk to Piper, Nevaeh, Layla on 2012/01/16?\", \"yes\"], [\"Did I talk to anyone on 2012/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3231\", \"logical_representation\": [\"2012/01/16\", \"news\", \"6 minutes\"], \"text_template_based\": \"I watched news for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/01/16?\", \"6 minutes\"], [\"what did I watch on tv on 2012/01/16?\", \"news\"], [\"Did I watch tv on 2012/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/18\": {\"breakfast\": {\"eid\": \"e3235\", \"logical_representation\": [\"2012/01/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/01/18?\", \"Avery, Jackson, Willow\"], [\"what did I eat for breakfast on 2012/01/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3236\", \"logical_representation\": [\"2012/01/18\", \"lunch\", \"sandwich\", \"Avery, Benjamin\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3237\", \"logical_representation\": [\"2012/01/18\", \"Eva, Lydia, Hazel\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Eva, Lydia, Hazel for 54 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Hazel in the early afternoon on 2012/01/18?\", \"54 minutes\"], [\"who did I talk to on 2012/01/18?\", \"Eva, Lydia, Hazel\"], [\"Did I talk to Eva, Lydia, Hazel on 2012/01/18?\", \"yes\"], [\"Did I talk to anyone on 2012/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/19\": {\"dinner\": {\"eid\": \"e3238\", \"logical_representation\": [\"2012/01/19\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/01/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3239\", \"logical_representation\": [\"2012/01/19\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/01/19?\", \"5 minutes\"], [\"what did I read on 2012/01/19?\", \"social media\"], [\"Did I read on 2012/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/20\": {\"breakfast\": {\"eid\": \"e3240\", \"logical_representation\": [\"2012/01/20\", \"breakfast\", \"toast and cheese\", \"Claire, Nevaeh\"], \"text_template_based\": \"I had toast and cheese for breakfast with Claire, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/01/20?\", \"Claire, Nevaeh\"], [\"what did I eat for breakfast on 2012/01/20\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3241\", \"logical_representation\": [\"2012/01/20\", \"Kinsley\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Kinsley for 15 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the late afternoon on 2012/01/20?\", \"15 minutes\"], [\"who did I talk to on 2012/01/20?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2012/01/20?\", \"yes\"], [\"Did I talk to anyone on 2012/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3242\", \"logical_representation\": [\"2012/01/20\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/01/20?\", \"41 minutes\"], [\"what did I read on 2012/01/20?\", \"news\"], [\"Did I read on 2012/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/21\": {\"breakfast\": {\"eid\": \"e3243\", \"logical_representation\": [\"2012/01/21\", \"breakfast\", \"toast and cheese\", \"Willow, Jackson\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/01/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3244\", \"logical_representation\": [\"2012/01/21\", \"dinner\", \"chinese food\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Carter, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/01/21?\", \"Andrew, Carter, Emily\"], [\"what did I eat for dinner on 2012/01/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3245\", \"logical_representation\": [\"2012/01/21\", \"Claire, Nora, Olivia\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Olivia for 41 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Olivia in the late afternoon on 2012/01/21?\", \"41 minutes\"], [\"who did I talk to on 2012/01/21?\", \"Claire, Nora, Olivia\"], [\"Did I talk to Claire, Nora, Olivia on 2012/01/21?\", \"yes\"], [\"Did I talk to anyone on 2012/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3246\", \"logical_representation\": [\"2012/01/21\", \"Nevaeh\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 26 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early afternoon on 2012/01/21?\", \"26 minutes\"], [\"who did I talk to on 2012/01/21?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2012/01/21?\", \"yes\"], [\"Did I talk to anyone on 2012/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3247\", \"logical_representation\": [\"2012/01/21\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/01/21?\", \"34 minutes\"], [\"what did I read on 2012/01/21?\", \"social media\"], [\"Did I read on 2012/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/22\": {\"breakfast\": {\"eid\": \"e3248\", \"logical_representation\": [\"2012/01/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/01/22?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for breakfast on 2012/01/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3249\", \"logical_representation\": [\"2012/01/22\", \"lunch\", \"a burger\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3250\", \"logical_representation\": [\"2012/01/22\", \"Nora, Olivia, Kinsley, Piper\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Nora, Olivia, Kinsley, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Kinsley, Piper in the late afternoon on 2012/01/22?\", \"6 minutes\"], [\"who did I talk to on 2012/01/22?\", \"Nora, Olivia, Kinsley, Piper\"], [\"Did I talk to Nora, Olivia, Kinsley, Piper on 2012/01/22?\", \"yes\"], [\"Did I talk to anyone on 2012/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/23\": {\"exercise\": {\"eid\": \"e3251\", \"logical_representation\": [\"2012/01/23\", \"running\"], \"text_template_based\": \"I did running on 2012/01/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/01/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3252\", \"logical_representation\": [\"2012/01/23\", \"Claire, Lydia\", \"in the early evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Claire, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia in the early evening on 2012/01/23?\", \"22 minutes\"], [\"who did I talk to on 2012/01/23?\", \"Claire, Lydia\"], [\"Did I talk to Claire, Lydia on 2012/01/23?\", \"yes\"], [\"Did I talk to anyone on 2012/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3253\", \"logical_representation\": [\"2012/01/23\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/01/23?\", \"21 minutes\"], [\"what did I read on 2012/01/23?\", \"news\"], [\"Did I read on 2012/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/24\": {\"exercise\": {\"eid\": \"e3254\", \"logical_representation\": [\"2012/01/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/01/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/01/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3255\", \"logical_representation\": [\"2012/01/24\", \"breakfast\", \"oatmeal\", \"Layla, Nora, Rylee, Piper, Kinsley, Eva, Lydia, Avery, Hazel, Olivia\"], \"text_template_based\": \"I had oatmeal for breakfast with Layla, Nora, Rylee, Piper, Kinsley, Eva, Lydia, Avery, Hazel, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/01/24?\", \"Layla, Nora, Rylee, Piper, Kinsley, Eva, Lydia, Avery, Hazel, Olivia\"], [\"what did I eat for breakfast on 2012/01/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3256\", \"logical_representation\": [\"2012/01/24\", \"dinner\", \"indian food\", \"Avery\"], \"text_template_based\": \"I had indian food for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/01/24?\", \"Avery\"], [\"what did I eat for dinner on 2012/01/24\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3257\", \"logical_representation\": [\"2012/01/24\", \"Eva, Avery\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Eva, Avery for 11 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery in the early afternoon on 2012/01/24?\", \"11 minutes\"], [\"who did I talk to on 2012/01/24?\", \"Eva, Avery\"], [\"Did I talk to Eva, Avery on 2012/01/24?\", \"yes\"], [\"Did I talk to anyone on 2012/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/26\": {\"breakfast\": {\"eid\": \"e3262\", \"logical_representation\": [\"2012/01/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/01/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3263\", \"logical_representation\": [\"2012/01/26\", \"lunch\", \"sushi\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3264\", \"logical_representation\": [\"2012/01/26\", \"dinner\", \"tacos\", \"Olivia\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/01/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3265\", \"logical_representation\": [\"2012/01/26\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/01/26?\", \"13 minutes\"], [\"what did I read on 2012/01/26?\", \"news\"], [\"Did I read on 2012/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/27\": {\"exercise\": {\"eid\": \"e3266\", \"logical_representation\": [\"2012/01/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/01/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/01/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3267\", \"logical_representation\": [\"2012/01/27\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/01/27?\", \"48 minutes\"], [\"what did I read on 2012/01/27?\", \"news\"], [\"Did I read on 2012/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3268\", \"logical_representation\": [\"2012/01/27\", \"a tv series\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/01/27?\", \"52 minutes\"], [\"what did I watch on tv on 2012/01/27?\", \"a tv series\"], [\"Did I watch tv on 2012/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/29\": {\"lunch\": {\"eid\": \"e3271\", \"logical_representation\": [\"2012/01/29\", \"lunch\", \"steak\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3272\", \"logical_representation\": [\"2012/01/29\", \"dinner\", \"pasta\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/01/29?\", \"Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2012/01/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3273\", \"logical_representation\": [\"2012/01/29\", \"Layla, Piper, Kinsley\", \"late in the evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Layla, Piper, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Kinsley late in the evening on 2012/01/29?\", \"51 minutes\"], [\"who did I talk to on 2012/01/29?\", \"Layla, Piper, Kinsley\"], [\"Did I talk to Layla, Piper, Kinsley on 2012/01/29?\", \"yes\"], [\"Did I talk to anyone on 2012/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/01\": {\"exercise\": {\"eid\": \"e3280\", \"logical_representation\": [\"2012/02/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/02/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3281\", \"logical_representation\": [\"2012/02/01\", \"breakfast\", \"oatmeal\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/02/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3282\", \"logical_representation\": [\"2012/02/01\", \"dinner\", \"steak\", \"Claire, Lydia, Eva, Layla, Avery, Hazel, Nevaeh, Piper, Piper, Kinsley, Nora, Rylee\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/02/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3283\", \"logical_representation\": [\"2012/02/01\", \"Piper, Piper\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Piper, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper in the morning on 2012/02/01?\", \"27 minutes\"], [\"who did I talk to on 2012/02/01?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2012/02/01?\", \"yes\"], [\"Did I talk to anyone on 2012/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3284\", \"logical_representation\": [\"2012/02/01\", \"Olivia, Rylee, Nevaeh, Claire\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Olivia, Rylee, Nevaeh, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee, Nevaeh, Claire in the morning on 2012/02/01?\", \"7 minutes\"], [\"who did I talk to on 2012/02/01?\", \"Olivia, Rylee, Nevaeh, Claire\"], [\"Did I talk to Olivia, Rylee, Nevaeh, Claire on 2012/02/01?\", \"yes\"], [\"Did I talk to anyone on 2012/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3285\", \"logical_representation\": [\"2012/02/01\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I watched a tv series for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/01?\", \"12 minutes\"], [\"what did I watch on tv on 2012/02/01?\", \"a tv series\"], [\"Did I watch tv on 2012/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/02\": {\"exercise\": {\"eid\": \"e3286\", \"logical_representation\": [\"2012/02/02\", \"running\"], \"text_template_based\": \"I did running on 2012/02/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3287\", \"logical_representation\": [\"2012/02/02\", \"dinner\", \"sushi\", \"Claire\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/02/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3288\", \"logical_representation\": [\"2012/02/02\", \"Kinsley, Nevaeh\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh for 44 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh in the early afternoon on 2012/02/02?\", \"44 minutes\"], [\"who did I talk to on 2012/02/02?\", \"Kinsley, Nevaeh\"], [\"Did I talk to Kinsley, Nevaeh on 2012/02/02?\", \"yes\"], [\"Did I talk to anyone on 2012/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3289\", \"logical_representation\": [\"2012/02/02\", \"Layla, Lydia, Eva, Avery\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Layla, Lydia, Eva, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Eva, Avery in the morning on 2012/02/02?\", \"5 minutes\"], [\"who did I talk to on 2012/02/02?\", \"Layla, Lydia, Eva, Avery\"], [\"Did I talk to Layla, Lydia, Eva, Avery on 2012/02/02?\", \"yes\"], [\"Did I talk to anyone on 2012/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/03\": {\"exercise\": {\"eid\": \"e3290\", \"logical_representation\": [\"2012/02/03\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/02/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/03?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3291\", \"logical_representation\": [\"2012/02/03\", \"breakfast\", \"toast and cheese\", \"Nora, Avery, Lydia, Nevaeh, Kinsley, Eva, Hazel, Piper\"], \"text_template_based\": \"I had toast and cheese for breakfast with Nora, Avery, Lydia, Nevaeh, Kinsley, Eva, Hazel, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/02/03?\", \"Nora, Avery, Lydia, Nevaeh, Kinsley, Eva, Hazel, Piper\"], [\"what did I eat for breakfast on 2012/02/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3292\", \"logical_representation\": [\"2012/02/03\", \"lunch\", \"indian food\", \"Emily, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/02/03?\", \"Emily, Andrew\"], [\"what did I eat for lunch on 2012/02/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3293\", \"logical_representation\": [\"2012/02/03\", \"dinner\", \"sushi\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/02/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3294\", \"logical_representation\": [\"2012/02/03\", \"Nevaeh, Eva\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva for 14 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva in the early evening on 2012/02/03?\", \"14 minutes\"], [\"who did I talk to on 2012/02/03?\", \"Nevaeh, Eva\"], [\"Did I talk to Nevaeh, Eva on 2012/02/03?\", \"yes\"], [\"Did I talk to anyone on 2012/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3295\", \"logical_representation\": [\"2012/02/03\", \"Layla, Claire, Nevaeh\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Layla, Claire, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire, Nevaeh in the morning on 2012/02/03?\", \"13 minutes\"], [\"who did I talk to on 2012/02/03?\", \"Layla, Claire, Nevaeh\"], [\"Did I talk to Layla, Claire, Nevaeh on 2012/02/03?\", \"yes\"], [\"Did I talk to anyone on 2012/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3296\", \"logical_representation\": [\"2012/02/03\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/02/03?\", \"31 minutes\"], [\"what did I read on 2012/02/03?\", \"news\"], [\"Did I read on 2012/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/05\": {\"lunch\": {\"eid\": \"e3303\", \"logical_representation\": [\"2012/02/05\", \"lunch\", \"steak\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had steak for lunch with Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/02/05?\", \"Benjamin, Jackson\"], [\"what did I eat for lunch on 2012/02/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3304\", \"logical_representation\": [\"2012/02/05\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/02/05?\", \"21 minutes\"], [\"what did I read on 2012/02/05?\", \"news\"], [\"Did I read on 2012/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3305\", \"logical_representation\": [\"2012/02/05\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I watched a tv series for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/05?\", \"8 minutes\"], [\"what did I watch on tv on 2012/02/05?\", \"a tv series\"], [\"Did I watch tv on 2012/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/07\": {\"exercise\": {\"eid\": \"e3310\", \"logical_representation\": [\"2012/02/07\", \"running\"], \"text_template_based\": \"I did running on 2012/02/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/07?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3311\", \"logical_representation\": [\"2012/02/07\", \"breakfast\", \"cereals\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/02/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3312\", \"logical_representation\": [\"2012/02/07\", \"lunch\", \"steak\", \"Emily\"], \"text_template_based\": \"I had steak for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/02/07?\", \"Emily\"], [\"what did I eat for lunch on 2012/02/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3313\", \"logical_representation\": [\"2012/02/07\", \"Avery, Claire\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Avery, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire during lunch hours on 2012/02/07?\", \"28 minutes\"], [\"who did I talk to on 2012/02/07?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2012/02/07?\", \"yes\"], [\"Did I talk to anyone on 2012/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/09\": {\"exercise\": {\"eid\": \"e3319\", \"logical_representation\": [\"2012/02/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/02/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3320\", \"logical_representation\": [\"2012/02/09\", \"lunch\", \"sandwich\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/02/09?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2012/02/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3321\", \"logical_representation\": [\"2012/02/09\", \"dinner\", \"tacos\", \"Lydia, Nora, Nevaeh, Kinsley, Piper, Avery\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/02/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3322\", \"logical_representation\": [\"2012/02/09\", \"Avery, Layla, Claire, Nevaeh\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Avery, Layla, Claire, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Claire, Nevaeh late in the evening on 2012/02/09?\", \"40 minutes\"], [\"who did I talk to on 2012/02/09?\", \"Avery, Layla, Claire, Nevaeh\"], [\"Did I talk to Avery, Layla, Claire, Nevaeh on 2012/02/09?\", \"yes\"], [\"Did I talk to anyone on 2012/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3323\", \"logical_representation\": [\"2012/02/09\", \"Lydia, Nevaeh\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I talked to Lydia, Nevaeh for 28 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh in the early evening on 2012/02/09?\", \"28 minutes\"], [\"who did I talk to on 2012/02/09?\", \"Lydia, Nevaeh\"], [\"Did I talk to Lydia, Nevaeh on 2012/02/09?\", \"yes\"], [\"Did I talk to anyone on 2012/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/11\": {\"exercise\": {\"eid\": \"e3328\", \"logical_representation\": [\"2012/02/11\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/02/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/11?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3329\", \"logical_representation\": [\"2012/02/11\", \"breakfast\", \"cereals\", \"Nora, Eva, Piper, Kinsley, Piper, Layla, Rylee, Nevaeh\"], \"text_template_based\": \"I had breakfast with Nora, Eva, Piper, Kinsley, Piper, Layla, Rylee, Nevaeh. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/02/11?\", \"Nora, Eva, Piper, Kinsley, Piper, Layla, Rylee, Nevaeh\"], [\"what did I eat for breakfast on 2012/02/11\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2012/02/12\": {\"exercise\": {\"eid\": \"e3330\", \"logical_representation\": [\"2012/02/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/02/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3331\", \"logical_representation\": [\"2012/02/12\", \"lunch\", \"steak\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had steak for lunch with Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/02/12?\", \"Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2012/02/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3332\", \"logical_representation\": [\"2012/02/12\", \"Eva, Kinsley, Layla, Piper\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Eva, Kinsley, Layla, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Layla, Piper in the early evening on 2012/02/12?\", \"12 minutes\"], [\"who did I talk to on 2012/02/12?\", \"Eva, Kinsley, Layla, Piper\"], [\"Did I talk to Eva, Kinsley, Layla, Piper on 2012/02/12?\", \"yes\"], [\"Did I talk to anyone on 2012/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3333\", \"logical_representation\": [\"2012/02/12\", \"a tv series\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/12?\", \"38 minutes\"], [\"what did I watch on tv on 2012/02/12?\", \"a tv series\"], [\"Did I watch tv on 2012/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/13\": {\"exercise\": {\"eid\": \"e3334\", \"logical_representation\": [\"2012/02/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/02/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3335\", \"logical_representation\": [\"2012/02/13\", \"Claire, Nevaeh, Piper, Hazel\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Claire, Nevaeh, Piper, Hazel for 37 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Piper, Hazel in the early evening on 2012/02/13?\", \"37 minutes\"], [\"who did I talk to on 2012/02/13?\", \"Claire, Nevaeh, Piper, Hazel\"], [\"Did I talk to Claire, Nevaeh, Piper, Hazel on 2012/02/13?\", \"yes\"], [\"Did I talk to anyone on 2012/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3336\", \"logical_representation\": [\"2012/02/13\", \"Piper, Nevaeh, Avery, Lydia\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Piper, Nevaeh, Avery, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Avery, Lydia in the morning on 2012/02/13?\", \"47 minutes\"], [\"who did I talk to on 2012/02/13?\", \"Piper, Nevaeh, Avery, Lydia\"], [\"Did I talk to Piper, Nevaeh, Avery, Lydia on 2012/02/13?\", \"yes\"], [\"Did I talk to anyone on 2012/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/15\": {\"breakfast\": {\"eid\": \"e3339\", \"logical_representation\": [\"2012/02/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/02/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3340\", \"logical_representation\": [\"2012/02/15\", \"dinner\", \"a burger\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/02/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3341\", \"logical_representation\": [\"2012/02/15\", \"Rylee, Nora, Eva\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Rylee, Nora, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Eva late in the evening on 2012/02/15?\", \"18 minutes\"], [\"who did I talk to on 2012/02/15?\", \"Rylee, Nora, Eva\"], [\"Did I talk to Rylee, Nora, Eva on 2012/02/15?\", \"yes\"], [\"Did I talk to anyone on 2012/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3342\", \"logical_representation\": [\"2012/02/15\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/02/15?\", \"42 minutes\"], [\"what did I read on 2012/02/15?\", \"news\"], [\"Did I read on 2012/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3343\", \"logical_representation\": [\"2012/02/15\", \"a movie\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/15?\", \"51 minutes\"], [\"what did I watch on tv on 2012/02/15?\", \"a movie\"], [\"Did I watch tv on 2012/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/17\": {\"lunch\": {\"eid\": \"e3348\", \"logical_representation\": [\"2012/02/17\", \"lunch\", \"sandwich\", \"Claire, Eva\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/02/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3349\", \"logical_representation\": [\"2012/02/17\", \"Piper\", \"in the early afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Piper for 5 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2012/02/17?\", \"5 minutes\"], [\"who did I talk to on 2012/02/17?\", \"Piper\"], [\"Did I talk to Piper on 2012/02/17?\", \"yes\"], [\"Did I talk to anyone on 2012/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3350\", \"logical_representation\": [\"2012/02/17\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/02/17?\", \"28 minutes\"], [\"what did I read on 2012/02/17?\", \"news\"], [\"Did I read on 2012/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/18\": {\"lunch\": {\"eid\": \"e3351\", \"logical_representation\": [\"2012/02/18\", \"lunch\", \"chinese food\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/02/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3352\", \"logical_representation\": [\"2012/02/18\", \"dinner\", \"a burger\", \"Lydia, Olivia\"], \"text_template_based\": \"I had dinner with Lydia, Olivia. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/02/18?\", \"Lydia, Olivia\"], [\"what did I eat for dinner on 2012/02/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3353\", \"logical_representation\": [\"2012/02/18\", \"Hazel, Nora\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Hazel, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora in the late afternoon on 2012/02/18?\", \"33 minutes\"], [\"who did I talk to on 2012/02/18?\", \"Hazel, Nora\"], [\"Did I talk to Hazel, Nora on 2012/02/18?\", \"yes\"], [\"Did I talk to anyone on 2012/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3354\", \"logical_representation\": [\"2012/02/18\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/02/18?\", \"38 minutes\"], [\"what did I read on 2012/02/18?\", \"social media\"], [\"Did I read on 2012/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/19\": {\"exercise\": {\"eid\": \"e3355\", \"logical_representation\": [\"2012/02/19\", \"running\"], \"text_template_based\": \"I did running on 2012/02/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3356\", \"logical_representation\": [\"2012/02/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/02/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3357\", \"logical_representation\": [\"2012/02/19\", \"lunch\", \"tacos\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/02/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3358\", \"logical_representation\": [\"2012/02/19\", \"Layla, Claire, Piper, Eva\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I talked to Layla, Claire, Piper, Eva for 27 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire, Piper, Eva in the early afternoon on 2012/02/19?\", \"27 minutes\"], [\"who did I talk to on 2012/02/19?\", \"Layla, Claire, Piper, Eva\"], [\"Did I talk to Layla, Claire, Piper, Eva on 2012/02/19?\", \"yes\"], [\"Did I talk to anyone on 2012/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3359\", \"logical_representation\": [\"2012/02/19\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/02/19?\", \"9 minutes\"], [\"what did I read on 2012/02/19?\", \"news\"], [\"Did I read on 2012/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3360\", \"logical_representation\": [\"2012/02/19\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/19?\", \"28 minutes\"], [\"what did I watch on tv on 2012/02/19?\", \"a movie\"], [\"Did I watch tv on 2012/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/20\": {\"breakfast\": {\"eid\": \"e3361\", \"logical_representation\": [\"2012/02/20\", \"breakfast\", \"cereals\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/02/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3362\", \"logical_representation\": [\"2012/02/20\", \"dinner\", \"indian food\", \"Hazel, Avery, Olivia, Kinsley, Layla, Piper, Eva, Claire, Lydia, Piper, Nevaeh, Nora\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/02/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3363\", \"logical_representation\": [\"2012/02/20\", \"Claire, Piper\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Claire, Piper for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper in the morning on 2012/02/20?\", \"43 minutes\"], [\"who did I talk to on 2012/02/20?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2012/02/20?\", \"yes\"], [\"Did I talk to anyone on 2012/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3364\", \"logical_representation\": [\"2012/02/20\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/02/20?\", \"46 minutes\"], [\"what did I read on 2012/02/20?\", \"news\"], [\"Did I read on 2012/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3365\", \"logical_representation\": [\"2012/02/20\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/20?\", \"34 minutes\"], [\"what did I watch on tv on 2012/02/20?\", \"news\"], [\"Did I watch tv on 2012/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/21\": {\"breakfast\": {\"eid\": \"e3366\", \"logical_representation\": [\"2012/02/21\", \"breakfast\", \"pancakes\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/02/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3367\", \"logical_representation\": [\"2012/02/21\", \"lunch\", \"indian food\", \"Layla, Kinsley, Piper, Nevaeh, Avery, Piper, Nora, Eva, Hazel\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/02/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3368\", \"logical_representation\": [\"2012/02/21\", \"Layla, Piper\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Layla, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper during lunch hours on 2012/02/21?\", \"25 minutes\"], [\"who did I talk to on 2012/02/21?\", \"Layla, Piper\"], [\"Did I talk to Layla, Piper on 2012/02/21?\", \"yes\"], [\"Did I talk to anyone on 2012/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3369\", \"logical_representation\": [\"2012/02/21\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/21?\", \"21 minutes\"], [\"what did I watch on tv on 2012/02/21?\", \"news\"], [\"Did I watch tv on 2012/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/22\": {\"exercise\": {\"eid\": \"e3370\", \"logical_representation\": [\"2012/02/22\", \"running\"], \"text_template_based\": \"I did running on 2012/02/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3371\", \"logical_representation\": [\"2012/02/22\", \"breakfast\", \"peanut-butter-jam\", \"Nora, Claire, Lydia, Nevaeh, Piper, Kinsley, Olivia, Rylee, Eva\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/02/22\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3372\", \"logical_representation\": [\"2012/02/22\", \"Lydia, Piper, Nevaeh\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Nevaeh for 29 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Nevaeh late in the evening on 2012/02/22?\", \"29 minutes\"], [\"who did I talk to on 2012/02/22?\", \"Lydia, Piper, Nevaeh\"], [\"Did I talk to Lydia, Piper, Nevaeh on 2012/02/22?\", \"yes\"], [\"Did I talk to anyone on 2012/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/26\": {\"lunch\": {\"eid\": \"e3387\", \"logical_representation\": [\"2012/02/26\", \"lunch\", \"indian food\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/02/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3388\", \"logical_representation\": [\"2012/02/26\", \"Nevaeh\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 21 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2012/02/26?\", \"21 minutes\"], [\"who did I talk to on 2012/02/26?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2012/02/26?\", \"yes\"], [\"Did I talk to anyone on 2012/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/27\": {\"exercise\": {\"eid\": \"e3389\", \"logical_representation\": [\"2012/02/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/02/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3390\", \"logical_representation\": [\"2012/02/27\", \"breakfast\", \"pancakes\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/02/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3391\", \"logical_representation\": [\"2012/02/27\", \"lunch\", \"pasta\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/02/27?\", \"Carter\"], [\"what did I eat for lunch on 2012/02/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3392\", \"logical_representation\": [\"2012/02/27\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/02/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2012/03/01\": {\"exercise\": {\"eid\": \"e3403\", \"logical_representation\": [\"2012/03/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/03/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3404\", \"logical_representation\": [\"2012/03/01\", \"breakfast\", \"cereals\", \"Avery\"], \"text_template_based\": \"I had cereals for breakfast with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/03/01?\", \"Avery\"], [\"what did I eat for breakfast on 2012/03/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3405\", \"logical_representation\": [\"2012/03/01\", \"lunch\", \"sushi\", \"Layla, Nora\"], \"text_template_based\": \"I had sushi for lunch with Layla, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/03/01?\", \"Layla, Nora\"], [\"what did I eat for lunch on 2012/03/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3406\", \"logical_representation\": [\"2012/03/01\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I watched a tv series for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/01?\", \"50 minutes\"], [\"what did I watch on tv on 2012/03/01?\", \"a tv series\"], [\"Did I watch tv on 2012/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/03\": {\"exercise\": {\"eid\": \"e3411\", \"logical_representation\": [\"2012/03/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/03/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3412\", \"logical_representation\": [\"2012/03/03\", \"breakfast\", \"toast and cheese\", \"Nevaeh, Nora, Rylee, Lydia, Kinsley, Layla\"], \"text_template_based\": \"I had breakfast with Nevaeh, Nora, Rylee, Lydia, Kinsley, Layla. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/03/03?\", \"Nevaeh, Nora, Rylee, Lydia, Kinsley, Layla\"], [\"what did I eat for breakfast on 2012/03/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3413\", \"logical_representation\": [\"2012/03/03\", \"Claire, Kinsley\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Claire, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley in the early evening on 2012/03/03?\", \"12 minutes\"], [\"who did I talk to on 2012/03/03?\", \"Claire, Kinsley\"], [\"Did I talk to Claire, Kinsley on 2012/03/03?\", \"yes\"], [\"Did I talk to anyone on 2012/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3414\", \"logical_representation\": [\"2012/03/03\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/03/03?\", \"10 minutes\"], [\"what did I read on 2012/03/03?\", \"news\"], [\"Did I read on 2012/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3415\", \"logical_representation\": [\"2012/03/03\", \"a movie\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/03?\", \"42 minutes\"], [\"what did I watch on tv on 2012/03/03?\", \"a movie\"], [\"Did I watch tv on 2012/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/05\": {\"dinner\": {\"eid\": \"e3420\", \"logical_representation\": [\"2012/03/05\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3421\", \"logical_representation\": [\"2012/03/05\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/03/05?\", \"52 minutes\"], [\"what did I read on 2012/03/05?\", \"news\"], [\"Did I read on 2012/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/07\": {\"exercise\": {\"eid\": \"e3427\", \"logical_representation\": [\"2012/03/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/03/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3428\", \"logical_representation\": [\"2012/03/07\", \"lunch\", \"tacos\", \"Jackson\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/03/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3429\", \"logical_representation\": [\"2012/03/07\", \"dinner\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/07\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2012/03/09\": {\"breakfast\": {\"eid\": \"e3435\", \"logical_representation\": [\"2012/03/09\", \"breakfast\", \"cereals\", \"Andrew\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/03/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3436\", \"logical_representation\": [\"2012/03/09\", \"lunch\", \"fish and chips\", \"Layla, Avery, Lydia, Nora, Piper, Hazel, Nevaeh, Olivia, Kinsley, Eva, Claire, Piper\"], \"text_template_based\": \"I had lunch with Layla, Avery, Lydia, Nora, Piper, Hazel, Nevaeh, Olivia, Kinsley, Eva, Claire, Piper. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/03/09?\", \"Layla, Avery, Lydia, Nora, Piper, Hazel, Nevaeh, Olivia, Kinsley, Eva, Claire, Piper\"], [\"what did I eat for lunch on 2012/03/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3437\", \"logical_representation\": [\"2012/03/09\", \"Hazel, Lydia\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia for 51 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia in the early afternoon on 2012/03/09?\", \"51 minutes\"], [\"who did I talk to on 2012/03/09?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2012/03/09?\", \"yes\"], [\"Did I talk to anyone on 2012/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3438\", \"logical_representation\": [\"2012/03/09\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/03/09?\", \"6 minutes\"], [\"what did I read on 2012/03/09?\", \"social media\"], [\"Did I read on 2012/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/10\": {\"dinner\": {\"eid\": \"e3439\", \"logical_representation\": [\"2012/03/10\", \"dinner\", \"fish and chips\", \"Andrew, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/03/10?\", \"Andrew, Carter\"], [\"what did I eat for dinner on 2012/03/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3440\", \"logical_representation\": [\"2012/03/10\", \"news\", \"17 minutes\"], \"text_template_based\": \"I watched news for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/10?\", \"17 minutes\"], [\"what did I watch on tv on 2012/03/10?\", \"news\"], [\"Did I watch tv on 2012/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/11\": {\"exercise\": {\"eid\": \"e3441\", \"logical_representation\": [\"2012/03/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/03/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3442\", \"logical_representation\": [\"2012/03/11\", \"lunch\", \"indian food\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Kayden, Emily, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/03/11?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2012/03/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3443\", \"logical_representation\": [\"2012/03/11\", \"dinner\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3444\", \"logical_representation\": [\"2012/03/11\", \"Piper, Nevaeh\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh for 33 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh in the morning on 2012/03/11?\", \"33 minutes\"], [\"who did I talk to on 2012/03/11?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2012/03/11?\", \"yes\"], [\"Did I talk to anyone on 2012/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/12\": {\"exercise\": {\"eid\": \"e3445\", \"logical_representation\": [\"2012/03/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/03/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3446\", \"logical_representation\": [\"2012/03/12\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/03/12?\", \"Kayden\"], [\"what did I eat for breakfast on 2012/03/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3447\", \"logical_representation\": [\"2012/03/12\", \"Claire, Eva, Rylee, Piper\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Claire, Eva, Rylee, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Rylee, Piper in the morning on 2012/03/12?\", \"30 minutes\"], [\"who did I talk to on 2012/03/12?\", \"Claire, Eva, Rylee, Piper\"], [\"Did I talk to Claire, Eva, Rylee, Piper on 2012/03/12?\", \"yes\"], [\"Did I talk to anyone on 2012/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3448\", \"logical_representation\": [\"2012/03/12\", \"Layla, Piper, Nevaeh\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Nevaeh for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Nevaeh late in the evening on 2012/03/12?\", \"37 minutes\"], [\"who did I talk to on 2012/03/12?\", \"Layla, Piper, Nevaeh\"], [\"Did I talk to Layla, Piper, Nevaeh on 2012/03/12?\", \"yes\"], [\"Did I talk to anyone on 2012/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3449\", \"logical_representation\": [\"2012/03/12\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/03/12?\", \"52 minutes\"], [\"what did I read on 2012/03/12?\", \"news\"], [\"Did I read on 2012/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3450\", \"logical_representation\": [\"2012/03/12\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/12?\", \"26 minutes\"], [\"what did I watch on tv on 2012/03/12?\", \"news\"], [\"Did I watch tv on 2012/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/13\": {\"exercise\": {\"eid\": \"e3451\", \"logical_representation\": [\"2012/03/13\", \"running\"], \"text_template_based\": \"I did running on 2012/03/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/13?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3452\", \"logical_representation\": [\"2012/03/13\", \"lunch\", \"indian food\", \"Claire, Rylee, Hazel, Layla, Eva, Olivia, Avery, Piper, Lydia, Nora\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/03/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3453\", \"logical_representation\": [\"2012/03/13\", \"dinner\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3454\", \"logical_representation\": [\"2012/03/13\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/03/13?\", \"48 minutes\"], [\"what did I read on 2012/03/13?\", \"news\"], [\"Did I read on 2012/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/14\": {\"breakfast\": {\"eid\": \"e3455\", \"logical_representation\": [\"2012/03/14\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Emily. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/03/14?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2012/03/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3456\", \"logical_representation\": [\"2012/03/14\", \"lunch\", \"chinese food\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had chinese food for lunch with Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/03/14?\", \"Emily, Carter, Kayden\"], [\"what did I eat for lunch on 2012/03/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3457\", \"logical_representation\": [\"2012/03/14\", \"dinner\", \"indian food\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3458\", \"logical_representation\": [\"2012/03/14\", \"Avery\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I talked to Avery for 53 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery during lunch hours on 2012/03/14?\", \"53 minutes\"], [\"who did I talk to on 2012/03/14?\", \"Avery\"], [\"Did I talk to Avery on 2012/03/14?\", \"yes\"], [\"Did I talk to anyone on 2012/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3459\", \"logical_representation\": [\"2012/03/14\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/14?\", \"5 minutes\"], [\"what did I watch on tv on 2012/03/14?\", \"a tv series\"], [\"Did I watch tv on 2012/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/16\": {\"exercise\": {\"eid\": \"e3464\", \"logical_representation\": [\"2012/03/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/03/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3465\", \"logical_representation\": [\"2012/03/16\", \"breakfast\", \"cereals\", \"Piper, Avery, Hazel, Claire, Piper, Rylee, Lydia\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/03/16\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3466\", \"logical_representation\": [\"2012/03/16\", \"dinner\", \"sushi\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3467\", \"logical_representation\": [\"2012/03/16\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/03/16?\", \"5 minutes\"], [\"what did I read on 2012/03/16?\", \"a book\"], [\"Did I read on 2012/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/17\": {\"exercise\": {\"eid\": \"e3468\", \"logical_representation\": [\"2012/03/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/03/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3469\", \"logical_representation\": [\"2012/03/17\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/03/17\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3470\", \"logical_representation\": [\"2012/03/17\", \"lunch\", \"sandwich\", \"Rylee, Nevaeh, Layla, Avery, Eva, Hazel, Claire, Piper, Piper, Olivia, Lydia, Nora, Kinsley\"], \"text_template_based\": \"I had sandwich for lunch with Rylee, Nevaeh, Layla, Avery, Eva, Hazel, Claire, Piper, Piper, Olivia, Lydia, Nora, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/03/17?\", \"Rylee, Nevaeh, Layla, Avery, Eva, Hazel, Claire, Piper, Piper, Olivia, Lydia, Nora, Kinsley\"], [\"what did I eat for lunch on 2012/03/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3471\", \"logical_representation\": [\"2012/03/17\", \"dinner\", \"indian food\", \"Kinsley, Eva, Layla, Piper, Rylee, Nora, Avery, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3472\", \"logical_representation\": [\"2012/03/17\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/17?\", \"50 minutes\"], [\"what did I watch on tv on 2012/03/17?\", \"news\"], [\"Did I watch tv on 2012/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/19\": {\"breakfast\": {\"eid\": \"e3477\", \"logical_representation\": [\"2012/03/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Avery, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/03/19?\", \"Avery, Willow, Jackson\"], [\"what did I eat for breakfast on 2012/03/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3478\", \"logical_representation\": [\"2012/03/19\", \"lunch\", \"fish and chips\", \"Benjamin, Willow\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/03/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2012/03/20\": {\"exercise\": {\"eid\": \"e3479\", \"logical_representation\": [\"2012/03/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3480\", \"logical_representation\": [\"2012/03/20\", \"lunch\", \"indian food\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/03/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3481\", \"logical_representation\": [\"2012/03/20\", \"Kinsley, Nora, Piper, Rylee\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora, Piper, Rylee for 54 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Piper, Rylee in the early afternoon on 2012/03/20?\", \"54 minutes\"], [\"who did I talk to on 2012/03/20?\", \"Kinsley, Nora, Piper, Rylee\"], [\"Did I talk to Kinsley, Nora, Piper, Rylee on 2012/03/20?\", \"yes\"], [\"Did I talk to anyone on 2012/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3482\", \"logical_representation\": [\"2012/03/20\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/03/20?\", \"5 minutes\"], [\"what did I read on 2012/03/20?\", \"news\"], [\"Did I read on 2012/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/22\": {\"exercise\": {\"eid\": \"e3486\", \"logical_representation\": [\"2012/03/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/03/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3487\", \"logical_representation\": [\"2012/03/22\", \"lunch\", \"fish and chips\", \"Benjamin, Jackson\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/03/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3488\", \"logical_representation\": [\"2012/03/22\", \"Eva, Layla, Piper\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Eva, Layla, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Piper during lunch hours on 2012/03/22?\", \"31 minutes\"], [\"who did I talk to on 2012/03/22?\", \"Eva, Layla, Piper\"], [\"Did I talk to Eva, Layla, Piper on 2012/03/22?\", \"yes\"], [\"Did I talk to anyone on 2012/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3489\", \"logical_representation\": [\"2012/03/22\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I watched a tv series for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/22?\", \"33 minutes\"], [\"what did I watch on tv on 2012/03/22?\", \"a tv series\"], [\"Did I watch tv on 2012/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/23\": {\"breakfast\": {\"eid\": \"e3490\", \"logical_representation\": [\"2012/03/23\", \"breakfast\", \"cereals\", \"Emily, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Andrew. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/03/23?\", \"Emily, Andrew\"], [\"what did I eat for breakfast on 2012/03/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3491\", \"logical_representation\": [\"2012/03/23\", \"Olivia, Layla\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I talked to Olivia, Layla for 39 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla in the morning on 2012/03/23?\", \"39 minutes\"], [\"who did I talk to on 2012/03/23?\", \"Olivia, Layla\"], [\"Did I talk to Olivia, Layla on 2012/03/23?\", \"yes\"], [\"Did I talk to anyone on 2012/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/24\": {\"social media\": {\"eid\": \"e3492\", \"logical_representation\": [\"2012/03/24\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/03/24?\", \"19 minutes\"], [\"what did I read on 2012/03/24?\", \"social media\"], [\"Did I read on 2012/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3493\", \"logical_representation\": [\"2012/03/24\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/24?\", \"32 minutes\"], [\"what did I watch on tv on 2012/03/24?\", \"a documentary\"], [\"Did I watch tv on 2012/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/26\": {\"breakfast\": {\"eid\": \"e3499\", \"logical_representation\": [\"2012/03/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/03/26?\", \"Carter\"], [\"what did I eat for breakfast on 2012/03/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3500\", \"logical_representation\": [\"2012/03/26\", \"dinner\", \"sushi\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had sushi for dinner with Carter, Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/03/26?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2012/03/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3501\", \"logical_representation\": [\"2012/03/26\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/03/26?\", \"47 minutes\"], [\"what did I read on 2012/03/26?\", \"social media\"], [\"Did I read on 2012/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/28\": {\"exercise\": {\"eid\": \"e3505\", \"logical_representation\": [\"2012/03/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/03/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3506\", \"logical_representation\": [\"2012/03/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Nevaeh, Claire, Piper, Layla, Nora, Piper, Lydia, Kinsley, Rylee\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/03/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3507\", \"logical_representation\": [\"2012/03/28\", \"dinner\", \"sushi\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3508\", \"logical_representation\": [\"2012/03/28\", \"Eva, Nora, Hazel, Piper\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Eva, Nora, Hazel, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Hazel, Piper in the early afternoon on 2012/03/28?\", \"41 minutes\"], [\"who did I talk to on 2012/03/28?\", \"Eva, Nora, Hazel, Piper\"], [\"Did I talk to Eva, Nora, Hazel, Piper on 2012/03/28?\", \"yes\"], [\"Did I talk to anyone on 2012/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3509\", \"logical_representation\": [\"2012/03/28\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/03/28?\", \"15 minutes\"], [\"what did I read on 2012/03/28?\", \"a book\"], [\"Did I read on 2012/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/29\": {\"breakfast\": {\"eid\": \"e3510\", \"logical_representation\": [\"2012/03/29\", \"breakfast\", \"cereals\", \"Lydia, Nevaeh, Piper, Layla, Piper, Claire, Nora, Eva, Kinsley, Rylee, Hazel\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/03/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3511\", \"logical_representation\": [\"2012/03/29\", \"lunch\", \"sushi\", \"Piper, Hazel, Kinsley, Olivia, Nora, Claire, Nevaeh, Avery, Eva, Layla, Rylee\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/03/29\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3512\", \"logical_representation\": [\"2012/03/29\", \"Lydia, Olivia, Rylee\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia, Rylee for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Rylee in the morning on 2012/03/29?\", \"32 minutes\"], [\"who did I talk to on 2012/03/29?\", \"Lydia, Olivia, Rylee\"], [\"Did I talk to Lydia, Olivia, Rylee on 2012/03/29?\", \"yes\"], [\"Did I talk to anyone on 2012/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3513\", \"logical_representation\": [\"2012/03/29\", \"Nora\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Nora for 23 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2012/03/29?\", \"23 minutes\"], [\"who did I talk to on 2012/03/29?\", \"Nora\"], [\"Did I talk to Nora on 2012/03/29?\", \"yes\"], [\"Did I talk to anyone on 2012/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3514\", \"logical_representation\": [\"2012/03/29\", \"a movie\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/29?\", \"51 minutes\"], [\"what did I watch on tv on 2012/03/29?\", \"a movie\"], [\"Did I watch tv on 2012/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/30\": {\"exercise\": {\"eid\": \"e3515\", \"logical_representation\": [\"2012/03/30\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/03/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/30?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3516\", \"logical_representation\": [\"2012/03/30\", \"dinner\", \"fish and chips\", \"Rylee, Olivia, Piper, Hazel, Lydia, Piper, Nora\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3517\", \"logical_representation\": [\"2012/03/30\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/03/30?\", \"27 minutes\"], [\"what did I read on 2012/03/30?\", \"news\"], [\"Did I read on 2012/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/01\": {\"exercise\": {\"eid\": \"e3519\", \"logical_representation\": [\"2012/04/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/04/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3520\", \"logical_representation\": [\"2012/04/01\", \"breakfast\", \"oatmeal\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/04/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3521\", \"logical_representation\": [\"2012/04/01\", \"dinner\", \"a burger\", \"Claire, Nevaeh, Hazel, Lydia, Kinsley, Layla\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3522\", \"logical_representation\": [\"2012/04/01\", \"a tv series\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/01?\", \"31 minutes\"], [\"what did I watch on tv on 2012/04/01?\", \"a tv series\"], [\"Did I watch tv on 2012/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/02\": {\"breakfast\": {\"eid\": \"e3523\", \"logical_representation\": [\"2012/04/02\", \"breakfast\", \"pancakes\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had pancakes for breakfast with Jackson, Benjamin, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/04/02?\", \"Jackson, Benjamin, Avery, Willow\"], [\"what did I eat for breakfast on 2012/04/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3524\", \"logical_representation\": [\"2012/04/02\", \"Nevaeh, Eva\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Nevaeh, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva in the early evening on 2012/04/02?\", \"43 minutes\"], [\"who did I talk to on 2012/04/02?\", \"Nevaeh, Eva\"], [\"Did I talk to Nevaeh, Eva on 2012/04/02?\", \"yes\"], [\"Did I talk to anyone on 2012/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/03\": {\"dinner\": {\"eid\": \"e3525\", \"logical_representation\": [\"2012/04/03\", \"dinner\", \"sandwich\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3526\", \"logical_representation\": [\"2012/04/03\", \"Eva, Avery\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Eva, Avery for 47 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery in the early afternoon on 2012/04/03?\", \"47 minutes\"], [\"who did I talk to on 2012/04/03?\", \"Eva, Avery\"], [\"Did I talk to Eva, Avery on 2012/04/03?\", \"yes\"], [\"Did I talk to anyone on 2012/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3527\", \"logical_representation\": [\"2012/04/03\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/03?\", \"22 minutes\"], [\"what did I watch on tv on 2012/04/03?\", \"news\"], [\"Did I watch tv on 2012/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/04\": {\"lunch\": {\"eid\": \"e3528\", \"logical_representation\": [\"2012/04/04\", \"lunch\", \"sushi\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch with Carter, Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/04/04?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2012/04/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3529\", \"logical_representation\": [\"2012/04/04\", \"dinner\", \"pasta\", \"Eva, Lydia, Avery, Piper, Nevaeh, Kinsley, Rylee, Hazel, Claire, Nora, Layla, Olivia, Piper\"], \"text_template_based\": \"I had pasta for dinner with Eva, Lydia, Avery, Piper, Nevaeh, Kinsley, Rylee, Hazel, Claire, Nora, Layla, Olivia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/04?\", \"Eva, Lydia, Avery, Piper, Nevaeh, Kinsley, Rylee, Hazel, Claire, Nora, Layla, Olivia, Piper\"], [\"what did I eat for dinner on 2012/04/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3530\", \"logical_representation\": [\"2012/04/04\", \"a documentary\", \"5 minutes\"], \"text_template_based\": \"I watched a documentary for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/04?\", \"5 minutes\"], [\"what did I watch on tv on 2012/04/04?\", \"a documentary\"], [\"Did I watch tv on 2012/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/05\": {\"exercise\": {\"eid\": \"e3531\", \"logical_representation\": [\"2012/04/05\", \"biking\"], \"text_template_based\": \"I did biking on 2012/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/05?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3532\", \"logical_representation\": [\"2012/04/05\", \"breakfast\", \"pancakes\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/04/05\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3533\", \"logical_representation\": [\"2012/04/05\", \"dinner\", \"tacos\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Emily, Kayden, Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/05?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2012/04/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3534\", \"logical_representation\": [\"2012/04/05\", \"Avery\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2012/04/05?\", \"14 minutes\"], [\"who did I talk to on 2012/04/05?\", \"Avery\"], [\"Did I talk to Avery on 2012/04/05?\", \"yes\"], [\"Did I talk to anyone on 2012/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/06\": {\"dinner\": {\"eid\": \"e3535\", \"logical_representation\": [\"2012/04/06\", \"dinner\", \"sushi\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3536\", \"logical_representation\": [\"2012/04/06\", \"Olivia\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I talked to Olivia for 39 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the morning on 2012/04/06?\", \"39 minutes\"], [\"who did I talk to on 2012/04/06?\", \"Olivia\"], [\"Did I talk to Olivia on 2012/04/06?\", \"yes\"], [\"Did I talk to anyone on 2012/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3537\", \"logical_representation\": [\"2012/04/06\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/06?\", \"18 minutes\"], [\"what did I watch on tv on 2012/04/06?\", \"a tv series\"], [\"Did I watch tv on 2012/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/08\": {\"exercise\": {\"eid\": \"e3540\", \"logical_representation\": [\"2012/04/08\", \"running\"], \"text_template_based\": \"I did running on 2012/04/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3541\", \"logical_representation\": [\"2012/04/08\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Rylee, Hazel, Piper, Layla\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Avery, Rylee, Hazel, Piper, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/04/08?\", \"Avery, Rylee, Hazel, Piper, Layla\"], [\"what did I eat for breakfast on 2012/04/08\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3542\", \"logical_representation\": [\"2012/04/08\", \"lunch\", \"a burger\", \"Piper, Layla, Eva, Hazel, Lydia\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/04/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3543\", \"logical_representation\": [\"2012/04/08\", \"dinner\", \"pasta\", \"Nevaeh\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3544\", \"logical_representation\": [\"2012/04/08\", \"Eva, Olivia, Nora, Hazel\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Eva, Olivia, Nora, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Nora, Hazel late in the evening on 2012/04/08?\", \"28 minutes\"], [\"who did I talk to on 2012/04/08?\", \"Eva, Olivia, Nora, Hazel\"], [\"Did I talk to Eva, Olivia, Nora, Hazel on 2012/04/08?\", \"yes\"], [\"Did I talk to anyone on 2012/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3545\", \"logical_representation\": [\"2012/04/08\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/04/08?\", \"42 minutes\"], [\"what did I read on 2012/04/08?\", \"news\"], [\"Did I read on 2012/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3546\", \"logical_representation\": [\"2012/04/08\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/08?\", \"34 minutes\"], [\"what did I watch on tv on 2012/04/08?\", \"a tv series\"], [\"Did I watch tv on 2012/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/09\": {\"exercise\": {\"eid\": \"e3547\", \"logical_representation\": [\"2012/04/09\", \"biking\"], \"text_template_based\": \"I did biking on 2012/04/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3548\", \"logical_representation\": [\"2012/04/09\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/04/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3549\", \"logical_representation\": [\"2012/04/09\", \"lunch\", \"fish and chips\", \"Kayden, Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/04/09?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2012/04/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2012/04/10\": {\"exercise\": {\"eid\": \"e3550\", \"logical_representation\": [\"2012/04/10\", \"running\"], \"text_template_based\": \"I did running on 2012/04/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/10?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3551\", \"logical_representation\": [\"2012/04/10\", \"dinner\", \"pasta\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3552\", \"logical_representation\": [\"2012/04/10\", \"Piper\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2012/04/10?\", \"41 minutes\"], [\"who did I talk to on 2012/04/10?\", \"Piper\"], [\"Did I talk to Piper on 2012/04/10?\", \"yes\"], [\"Did I talk to anyone on 2012/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3553\", \"logical_representation\": [\"2012/04/10\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/04/10?\", \"22 minutes\"], [\"what did I read on 2012/04/10?\", \"news\"], [\"Did I read on 2012/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3554\", \"logical_representation\": [\"2012/04/10\", \"a documentary\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/10?\", \"6 minutes\"], [\"what did I watch on tv on 2012/04/10?\", \"a documentary\"], [\"Did I watch tv on 2012/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/11\": {\"exercise\": {\"eid\": \"e3555\", \"logical_representation\": [\"2012/04/11\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/04/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/11?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3556\", \"logical_representation\": [\"2012/04/11\", \"breakfast\", \"pancakes\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/04/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3557\", \"logical_representation\": [\"2012/04/11\", \"lunch\", \"tacos\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Kayden, Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/04/11?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2012/04/11\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2012/04/12\": {\"breakfast\": {\"eid\": \"e3558\", \"logical_representation\": [\"2012/04/12\", \"breakfast\", \"toast and cheese\", \"Benjamin, Avery\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/04/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3559\", \"logical_representation\": [\"2012/04/12\", \"lunch\", \"fish and chips\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/04/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3560\", \"logical_representation\": [\"2012/04/12\", \"Nora, Kinsley, Piper\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Nora, Kinsley, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Piper in the late afternoon on 2012/04/12?\", \"6 minutes\"], [\"who did I talk to on 2012/04/12?\", \"Nora, Kinsley, Piper\"], [\"Did I talk to Nora, Kinsley, Piper on 2012/04/12?\", \"yes\"], [\"Did I talk to anyone on 2012/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3561\", \"logical_representation\": [\"2012/04/12\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/04/12?\", \"39 minutes\"], [\"what did I read on 2012/04/12?\", \"a book\"], [\"Did I read on 2012/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3562\", \"logical_representation\": [\"2012/04/12\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I watched a tv series for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/12?\", \"21 minutes\"], [\"what did I watch on tv on 2012/04/12?\", \"a tv series\"], [\"Did I watch tv on 2012/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/13\": {\"exercise\": {\"eid\": \"e3563\", \"logical_representation\": [\"2012/04/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/04/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3564\", \"logical_representation\": [\"2012/04/13\", \"lunch\", \"sushi\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Emily, Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/04/13?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for lunch on 2012/04/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3565\", \"logical_representation\": [\"2012/04/13\", \"dinner\", \"tacos\", \"Avery, Nevaeh\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3566\", \"logical_representation\": [\"2012/04/13\", \"Kinsley, Hazel, Nora\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel, Nora for 13 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Nora during lunch hours on 2012/04/13?\", \"13 minutes\"], [\"who did I talk to on 2012/04/13?\", \"Kinsley, Hazel, Nora\"], [\"Did I talk to Kinsley, Hazel, Nora on 2012/04/13?\", \"yes\"], [\"Did I talk to anyone on 2012/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3567\", \"logical_representation\": [\"2012/04/13\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/13?\", \"25 minutes\"], [\"what did I watch on tv on 2012/04/13?\", \"a movie\"], [\"Did I watch tv on 2012/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/14\": {\"lunch\": {\"eid\": \"e3568\", \"logical_representation\": [\"2012/04/14\", \"lunch\", \"sandwich\", \"Kinsley, Avery, Eva, Nora, Layla, Piper, Claire, Piper, Olivia, Nevaeh, Lydia, Hazel, Rylee\"], \"text_template_based\": \"I had sandwich for lunch with Kinsley, Avery, Eva, Nora, Layla, Piper, Claire, Piper, Olivia, Nevaeh, Lydia, Hazel, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/04/14?\", \"Kinsley, Avery, Eva, Nora, Layla, Piper, Claire, Piper, Olivia, Nevaeh, Lydia, Hazel, Rylee\"], [\"what did I eat for lunch on 2012/04/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3569\", \"logical_representation\": [\"2012/04/14\", \"dinner\", \"fish and chips\", \"Avery, Jackson\"], \"text_template_based\": \"I had dinner with Avery, Jackson. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/14?\", \"Avery, Jackson\"], [\"what did I eat for dinner on 2012/04/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3570\", \"logical_representation\": [\"2012/04/14\", \"Olivia, Hazel, Avery, Kinsley\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I talked to Olivia, Hazel, Avery, Kinsley for 37 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Avery, Kinsley in the late afternoon on 2012/04/14?\", \"37 minutes\"], [\"who did I talk to on 2012/04/14?\", \"Olivia, Hazel, Avery, Kinsley\"], [\"Did I talk to Olivia, Hazel, Avery, Kinsley on 2012/04/14?\", \"yes\"], [\"Did I talk to anyone on 2012/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3571\", \"logical_representation\": [\"2012/04/14\", \"Avery, Olivia\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Avery, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia in the late afternoon on 2012/04/14?\", \"28 minutes\"], [\"who did I talk to on 2012/04/14?\", \"Avery, Olivia\"], [\"Did I talk to Avery, Olivia on 2012/04/14?\", \"yes\"], [\"Did I talk to anyone on 2012/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/15\": {\"dinner\": {\"eid\": \"e3572\", \"logical_representation\": [\"2012/04/15\", \"dinner\", \"pasta\", \"Olivia, Nora, Piper, Lydia, Claire\"], \"text_template_based\": \"I had pasta for dinner with Olivia, Nora, Piper, Lydia, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/15?\", \"Olivia, Nora, Piper, Lydia, Claire\"], [\"what did I eat for dinner on 2012/04/15\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2012/04/16\": {\"exercise\": {\"eid\": \"e3573\", \"logical_representation\": [\"2012/04/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/04/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3574\", \"logical_representation\": [\"2012/04/16\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/04/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3575\", \"logical_representation\": [\"2012/04/16\", \"dinner\", \"sushi\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3576\", \"logical_representation\": [\"2012/04/16\", \"Lydia, Piper\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Lydia, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper in the morning on 2012/04/16?\", \"43 minutes\"], [\"who did I talk to on 2012/04/16?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2012/04/16?\", \"yes\"], [\"Did I talk to anyone on 2012/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3577\", \"logical_representation\": [\"2012/04/16\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/04/16?\", \"37 minutes\"], [\"what did I read on 2012/04/16?\", \"a book\"], [\"Did I read on 2012/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/18\": {\"exercise\": {\"eid\": \"e3583\", \"logical_representation\": [\"2012/04/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/04/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3584\", \"logical_representation\": [\"2012/04/18\", \"lunch\", \"chinese food\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had chinese food for lunch with Emily, Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/04/18?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for lunch on 2012/04/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3585\", \"logical_representation\": [\"2012/04/18\", \"dinner\", \"a burger\", \"Carter\"], \"text_template_based\": \"I had a burger for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/18?\", \"Carter\"], [\"what did I eat for dinner on 2012/04/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3586\", \"logical_representation\": [\"2012/04/18\", \"a movie\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/18?\", \"16 minutes\"], [\"what did I watch on tv on 2012/04/18?\", \"a movie\"], [\"Did I watch tv on 2012/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/19\": {\"lunch\": {\"eid\": \"e3587\", \"logical_representation\": [\"2012/04/19\", \"lunch\", \"sushi\", \"Nora, Kinsley, Hazel, Avery, Layla, Olivia, Eva\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/04/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3588\", \"logical_representation\": [\"2012/04/19\", \"dinner\", \"fish and chips\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Andrew, Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/19?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for dinner on 2012/04/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3589\", \"logical_representation\": [\"2012/04/19\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/04/19?\", \"50 minutes\"], [\"what did I read on 2012/04/19?\", \"news\"], [\"Did I read on 2012/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3590\", \"logical_representation\": [\"2012/04/19\", \"news\", \"10 minutes\"], \"text_template_based\": \"I watched news for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/19?\", \"10 minutes\"], [\"what did I watch on tv on 2012/04/19?\", \"news\"], [\"Did I watch tv on 2012/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/20\": {\"exercise\": {\"eid\": \"e3591\", \"logical_representation\": [\"2012/04/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/04/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3592\", \"logical_representation\": [\"2012/04/20\", \"breakfast\", \"peanut-butter-jam\", \"Eva\"], \"text_template_based\": \"I had breakfast with Eva. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/04/20?\", \"Eva\"], [\"what did I eat for breakfast on 2012/04/20\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3593\", \"logical_representation\": [\"2012/04/20\", \"lunch\", \"tacos\", \"Nevaeh, Eva, Olivia, Rylee, Nora, Lydia, Avery\"], \"text_template_based\": \"I had tacos for lunch with Nevaeh, Eva, Olivia, Rylee, Nora, Lydia, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/04/20?\", \"Nevaeh, Eva, Olivia, Rylee, Nora, Lydia, Avery\"], [\"what did I eat for lunch on 2012/04/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3594\", \"logical_representation\": [\"2012/04/20\", \"dinner\", \"steak\", \"Andrew\"], \"text_template_based\": \"I had steak for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/20?\", \"Andrew\"], [\"what did I eat for dinner on 2012/04/20\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3595\", \"logical_representation\": [\"2012/04/20\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/20?\", \"33 minutes\"], [\"what did I watch on tv on 2012/04/20?\", \"news\"], [\"Did I watch tv on 2012/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/21\": {\"dinner\": {\"eid\": \"e3596\", \"logical_representation\": [\"2012/04/21\", \"dinner\", \"chinese food\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3597\", \"logical_representation\": [\"2012/04/21\", \"Claire, Nevaeh, Lydia\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Claire, Nevaeh, Lydia for 39 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Lydia in the early afternoon on 2012/04/21?\", \"39 minutes\"], [\"who did I talk to on 2012/04/21?\", \"Claire, Nevaeh, Lydia\"], [\"Did I talk to Claire, Nevaeh, Lydia on 2012/04/21?\", \"yes\"], [\"Did I talk to anyone on 2012/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3598\", \"logical_representation\": [\"2012/04/21\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/21?\", \"5 minutes\"], [\"what did I watch on tv on 2012/04/21?\", \"a tv series\"], [\"Did I watch tv on 2012/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/22\": {\"exercise\": {\"eid\": \"e3599\", \"logical_representation\": [\"2012/04/22\", \"biking\"], \"text_template_based\": \"I did biking on 2012/04/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3600\", \"logical_representation\": [\"2012/04/22\", \"breakfast\", \"pancakes\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/04/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3601\", \"logical_representation\": [\"2012/04/22\", \"Kinsley, Nevaeh, Piper\", \"in the early evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh, Piper for 21 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Piper in the early evening on 2012/04/22?\", \"21 minutes\"], [\"who did I talk to on 2012/04/22?\", \"Kinsley, Nevaeh, Piper\"], [\"Did I talk to Kinsley, Nevaeh, Piper on 2012/04/22?\", \"yes\"], [\"Did I talk to anyone on 2012/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/23\": {\"exercise\": {\"eid\": \"e3602\", \"logical_representation\": [\"2012/04/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/04/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2012/04/24\": {\"exercise\": {\"eid\": \"e3603\", \"logical_representation\": [\"2012/04/24\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/04/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/24?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3604\", \"logical_representation\": [\"2012/04/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/04/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3605\", \"logical_representation\": [\"2012/04/24\", \"lunch\", \"sandwich\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/04/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3606\", \"logical_representation\": [\"2012/04/24\", \"dinner\", \"pasta\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3607\", \"logical_representation\": [\"2012/04/24\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/04/24?\", \"49 minutes\"], [\"what did I read on 2012/04/24?\", \"a book\"], [\"Did I read on 2012/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3608\", \"logical_representation\": [\"2012/04/24\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/24?\", \"20 minutes\"], [\"what did I watch on tv on 2012/04/24?\", \"a tv series\"], [\"Did I watch tv on 2012/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/25\": {\"breakfast\": {\"eid\": \"e3609\", \"logical_representation\": [\"2012/04/25\", \"breakfast\", \"oatmeal\", \"Jackson\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/04/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3610\", \"logical_representation\": [\"2012/04/25\", \"lunch\", \"sushi\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/04/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3611\", \"logical_representation\": [\"2012/04/25\", \"dinner\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I had chinese food for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/25?\", \"Carter\"], [\"what did I eat for dinner on 2012/04/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3612\", \"logical_representation\": [\"2012/04/25\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/04/25?\", \"49 minutes\"], [\"what did I read on 2012/04/25?\", \"social media\"], [\"Did I read on 2012/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/26\": {\"exercise\": {\"eid\": \"e3613\", \"logical_representation\": [\"2012/04/26\", \"running\"], \"text_template_based\": \"I did running on 2012/04/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3614\", \"logical_representation\": [\"2012/04/26\", \"lunch\", \"chinese food\", \"Kinsley, Piper, Claire, Lydia\"], \"text_template_based\": \"I had lunch with Kinsley, Piper, Claire, Lydia. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/04/26?\", \"Kinsley, Piper, Claire, Lydia\"], [\"what did I eat for lunch on 2012/04/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3615\", \"logical_representation\": [\"2012/04/26\", \"Piper, Eva\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Piper, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva during lunch hours on 2012/04/26?\", \"23 minutes\"], [\"who did I talk to on 2012/04/26?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2012/04/26?\", \"yes\"], [\"Did I talk to anyone on 2012/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3616\", \"logical_representation\": [\"2012/04/26\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/04/26?\", \"47 minutes\"], [\"what did I read on 2012/04/26?\", \"news\"], [\"Did I read on 2012/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/27\": {\"exercise\": {\"eid\": \"e3617\", \"logical_representation\": [\"2012/04/27\", \"running\"], \"text_template_based\": \"I did running on 2012/04/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3618\", \"logical_representation\": [\"2012/04/27\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/04/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3619\", \"logical_representation\": [\"2012/04/27\", \"dinner\", \"steak\", \"Rylee, Piper, Kinsley, Avery, Lydia, Eva, Layla, Claire, Nora\"], \"text_template_based\": \"I had dinner with Rylee, Piper, Kinsley, Avery, Lydia, Eva, Layla, Claire, Nora. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/27?\", \"Rylee, Piper, Kinsley, Avery, Lydia, Eva, Layla, Claire, Nora\"], [\"what did I eat for dinner on 2012/04/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3620\", \"logical_representation\": [\"2012/04/27\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/04/27?\", \"34 minutes\"], [\"what did I read on 2012/04/27?\", \"a book\"], [\"Did I read on 2012/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/28\": {\"lunch\": {\"eid\": \"e3621\", \"logical_representation\": [\"2012/04/28\", \"lunch\", \"tacos\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/04/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3622\", \"logical_representation\": [\"2012/04/28\", \"Nevaeh, Rylee, Lydia, Kinsley\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee, Lydia, Kinsley for 52 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Lydia, Kinsley late in the evening on 2012/04/28?\", \"52 minutes\"], [\"who did I talk to on 2012/04/28?\", \"Nevaeh, Rylee, Lydia, Kinsley\"], [\"Did I talk to Nevaeh, Rylee, Lydia, Kinsley on 2012/04/28?\", \"yes\"], [\"Did I talk to anyone on 2012/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3623\", \"logical_representation\": [\"2012/04/28\", \"Kinsley, Claire\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Kinsley, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire in the late afternoon on 2012/04/28?\", \"52 minutes\"], [\"who did I talk to on 2012/04/28?\", \"Kinsley, Claire\"], [\"Did I talk to Kinsley, Claire on 2012/04/28?\", \"yes\"], [\"Did I talk to anyone on 2012/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3624\", \"logical_representation\": [\"2012/04/28\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I watched a documentary for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/28?\", \"39 minutes\"], [\"what did I watch on tv on 2012/04/28?\", \"a documentary\"], [\"Did I watch tv on 2012/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/29\": {\"exercise\": {\"eid\": \"e3625\", \"logical_representation\": [\"2012/04/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/04/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3626\", \"logical_representation\": [\"2012/04/29\", \"lunch\", \"sandwich\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/04/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3627\", \"logical_representation\": [\"2012/04/29\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/04/29?\", \"37 minutes\"], [\"what did I read on 2012/04/29?\", \"social media\"], [\"Did I read on 2012/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/30\": {\"exercise\": {\"eid\": \"e3628\", \"logical_representation\": [\"2012/04/30\", \"biking\"], \"text_template_based\": \"I did biking on 2012/04/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3629\", \"logical_representation\": [\"2012/04/30\", \"Olivia, Nora\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Olivia, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora in the late afternoon on 2012/04/30?\", \"19 minutes\"], [\"who did I talk to on 2012/04/30?\", \"Olivia, Nora\"], [\"Did I talk to Olivia, Nora on 2012/04/30?\", \"yes\"], [\"Did I talk to anyone on 2012/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3630\", \"logical_representation\": [\"2012/04/30\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/04/30?\", \"36 minutes\"], [\"what did I read on 2012/04/30?\", \"news\"], [\"Did I read on 2012/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/01\": {\"breakfast\": {\"eid\": \"e3631\", \"logical_representation\": [\"2012/05/01\", \"breakfast\", \"pancakes\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/05/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3632\", \"logical_representation\": [\"2012/05/01\", \"lunch\", \"a burger\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had a burger for lunch with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/05/01?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2012/05/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3633\", \"logical_representation\": [\"2012/05/01\", \"Piper, Piper, Lydia, Layla\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Piper, Piper, Lydia, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Lydia, Layla in the early evening on 2012/05/01?\", \"7 minutes\"], [\"who did I talk to on 2012/05/01?\", \"Piper, Piper, Lydia, Layla\"], [\"Did I talk to Piper, Piper, Lydia, Layla on 2012/05/01?\", \"yes\"], [\"Did I talk to anyone on 2012/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3634\", \"logical_representation\": [\"2012/05/01\", \"a tv series\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/01?\", \"25 minutes\"], [\"what did I watch on tv on 2012/05/01?\", \"a tv series\"], [\"Did I watch tv on 2012/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/08\": {\"breakfast\": {\"eid\": \"e3656\", \"logical_representation\": [\"2012/05/08\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/05/08\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3657\", \"logical_representation\": [\"2012/05/08\", \"dinner\", \"sushi\", \"Eva\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3658\", \"logical_representation\": [\"2012/05/08\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/05/08?\", \"37 minutes\"], [\"what did I read on 2012/05/08?\", \"social media\"], [\"Did I read on 2012/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3659\", \"logical_representation\": [\"2012/05/08\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/08?\", \"48 minutes\"], [\"what did I watch on tv on 2012/05/08?\", \"a movie\"], [\"Did I watch tv on 2012/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/18\": {\"exercise\": {\"eid\": \"e3693\", \"logical_representation\": [\"2012/05/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/05/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/05/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3694\", \"logical_representation\": [\"2012/05/18\", \"news\", \"46 minutes\"], \"text_template_based\": \"I watched news for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/18?\", \"46 minutes\"], [\"what did I watch on tv on 2012/05/18?\", \"news\"], [\"Did I watch tv on 2012/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/19\": {\"exercise\": {\"eid\": \"e3695\", \"logical_representation\": [\"2012/05/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/05/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/05/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3696\", \"logical_representation\": [\"2012/05/19\", \"dinner\", \"tacos\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/05/19?\", \"Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2012/05/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3697\", \"logical_representation\": [\"2012/05/19\", \"Avery\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early afternoon on 2012/05/19?\", \"44 minutes\"], [\"who did I talk to on 2012/05/19?\", \"Avery\"], [\"Did I talk to Avery on 2012/05/19?\", \"yes\"], [\"Did I talk to anyone on 2012/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3698\", \"logical_representation\": [\"2012/05/19\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/05/19?\", \"24 minutes\"], [\"what did I read on 2012/05/19?\", \"social media\"], [\"Did I read on 2012/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3699\", \"logical_representation\": [\"2012/05/19\", \"a tv series\", \"30 minutes\"], \"text_template_based\": \"I watched a tv series for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/19?\", \"30 minutes\"], [\"what did I watch on tv on 2012/05/19?\", \"a tv series\"], [\"Did I watch tv on 2012/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/21\": {\"breakfast\": {\"eid\": \"e3704\", \"logical_representation\": [\"2012/05/21\", \"breakfast\", \"pancakes\", \"Andrew, Emily\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/05/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3705\", \"logical_representation\": [\"2012/05/21\", \"dinner\", \"pasta\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had pasta for dinner with Willow, Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/05/21?\", \"Willow, Benjamin, Jackson\"], [\"what did I eat for dinner on 2012/05/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3706\", \"logical_representation\": [\"2012/05/21\", \"Eva, Nora, Avery, Piper\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Eva, Nora, Avery, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Avery, Piper in the early afternoon on 2012/05/21?\", \"36 minutes\"], [\"who did I talk to on 2012/05/21?\", \"Eva, Nora, Avery, Piper\"], [\"Did I talk to Eva, Nora, Avery, Piper on 2012/05/21?\", \"yes\"], [\"Did I talk to anyone on 2012/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3707\", \"logical_representation\": [\"2012/05/21\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I watched a tv series for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/21?\", \"11 minutes\"], [\"what did I watch on tv on 2012/05/21?\", \"a tv series\"], [\"Did I watch tv on 2012/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/22\": {\"breakfast\": {\"eid\": \"e3708\", \"logical_representation\": [\"2012/05/22\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Rylee, Eva, Piper, Layla, Claire, Nevaeh, Kinsley\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Lydia, Rylee, Eva, Piper, Layla, Claire, Nevaeh, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/05/22?\", \"Lydia, Rylee, Eva, Piper, Layla, Claire, Nevaeh, Kinsley\"], [\"what did I eat for breakfast on 2012/05/22\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3709\", \"logical_representation\": [\"2012/05/22\", \"lunch\", \"sandwich\", \"Piper, Layla, Rylee, Hazel, Nevaeh, Claire, Piper, Kinsley, Nora, Avery\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/05/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3710\", \"logical_representation\": [\"2012/05/22\", \"dinner\", \"pasta\", \"Benjamin\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3711\", \"logical_representation\": [\"2012/05/22\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/05/22?\", \"41 minutes\"], [\"what did I read on 2012/05/22?\", \"a book\"], [\"Did I read on 2012/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3712\", \"logical_representation\": [\"2012/05/22\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/22?\", \"13 minutes\"], [\"what did I watch on tv on 2012/05/22?\", \"a tv series\"], [\"Did I watch tv on 2012/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/23\": {\"breakfast\": {\"eid\": \"e3713\", \"logical_representation\": [\"2012/05/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/05/23?\", \"Emily, Carter\"], [\"what did I eat for breakfast on 2012/05/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3714\", \"logical_representation\": [\"2012/05/23\", \"lunch\", \"fish and chips\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/05/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3715\", \"logical_representation\": [\"2012/05/23\", \"dinner\", \"fish and chips\", \"Claire, Olivia, Rylee, Layla, Eva, Avery, Piper, Kinsley\"], \"text_template_based\": \"I had dinner with Claire, Olivia, Rylee, Layla, Eva, Avery, Piper, Kinsley. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/05/23?\", \"Claire, Olivia, Rylee, Layla, Eva, Avery, Piper, Kinsley\"], [\"what did I eat for dinner on 2012/05/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3716\", \"logical_representation\": [\"2012/05/23\", \"Claire, Piper, Rylee, Olivia\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Claire, Piper, Rylee, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Rylee, Olivia during lunch hours on 2012/05/23?\", \"26 minutes\"], [\"who did I talk to on 2012/05/23?\", \"Claire, Piper, Rylee, Olivia\"], [\"Did I talk to Claire, Piper, Rylee, Olivia on 2012/05/23?\", \"yes\"], [\"Did I talk to anyone on 2012/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3717\", \"logical_representation\": [\"2012/05/23\", \"Olivia, Avery, Piper, Layla\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Olivia, Avery, Piper, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Piper, Layla in the early evening on 2012/05/23?\", \"19 minutes\"], [\"who did I talk to on 2012/05/23?\", \"Olivia, Avery, Piper, Layla\"], [\"Did I talk to Olivia, Avery, Piper, Layla on 2012/05/23?\", \"yes\"], [\"Did I talk to anyone on 2012/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3718\", \"logical_representation\": [\"2012/05/23\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/05/23?\", \"20 minutes\"], [\"what did I read on 2012/05/23?\", \"news\"], [\"Did I read on 2012/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3719\", \"logical_representation\": [\"2012/05/23\", \"news\", \"37 minutes\"], \"text_template_based\": \"I watched news for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/23?\", \"37 minutes\"], [\"what did I watch on tv on 2012/05/23?\", \"news\"], [\"Did I watch tv on 2012/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/25\": {\"dinner\": {\"eid\": \"e3723\", \"logical_representation\": [\"2012/05/25\", \"dinner\", \"fish and chips\", \"Rylee, Piper, Piper, Nevaeh, Eva, Kinsley, Nora, Hazel, Olivia, Claire, Avery, Lydia\"], \"text_template_based\": \"I had dinner with Rylee, Piper, Piper, Nevaeh, Eva, Kinsley, Nora, Hazel, Olivia, Claire, Avery, Lydia. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/05/25?\", \"Rylee, Piper, Piper, Nevaeh, Eva, Kinsley, Nora, Hazel, Olivia, Claire, Avery, Lydia\"], [\"what did I eat for dinner on 2012/05/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3724\", \"logical_representation\": [\"2012/05/25\", \"Lydia\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia during lunch hours on 2012/05/25?\", \"42 minutes\"], [\"who did I talk to on 2012/05/25?\", \"Lydia\"], [\"Did I talk to Lydia on 2012/05/25?\", \"yes\"], [\"Did I talk to anyone on 2012/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3725\", \"logical_representation\": [\"2012/05/25\", \"Claire, Rylee, Hazel\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Claire, Rylee, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Hazel in the early evening on 2012/05/25?\", \"52 minutes\"], [\"who did I talk to on 2012/05/25?\", \"Claire, Rylee, Hazel\"], [\"Did I talk to Claire, Rylee, Hazel on 2012/05/25?\", \"yes\"], [\"Did I talk to anyone on 2012/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3726\", \"logical_representation\": [\"2012/05/25\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/05/25?\", \"37 minutes\"], [\"what did I read on 2012/05/25?\", \"social media\"], [\"Did I read on 2012/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3727\", \"logical_representation\": [\"2012/05/25\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I watched a movie for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/25?\", \"7 minutes\"], [\"what did I watch on tv on 2012/05/25?\", \"a movie\"], [\"Did I watch tv on 2012/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/26\": {\"exercise\": {\"eid\": \"e3728\", \"logical_representation\": [\"2012/05/26\", \"running\"], \"text_template_based\": \"I did running on 2012/05/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/05/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3729\", \"logical_representation\": [\"2012/05/26\", \"dinner\", \"indian food\", \"Kayden, Carter\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/26\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2012/05/27\": {\"dinner\": {\"eid\": \"e3730\", \"logical_representation\": [\"2012/05/27\", \"dinner\", \"indian food\", \"Avery, Kinsley, Eva, Olivia, Nevaeh, Lydia, Layla\"], \"text_template_based\": \"I had indian food for dinner with Avery, Kinsley, Eva, Olivia, Nevaeh, Lydia, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/05/27?\", \"Avery, Kinsley, Eva, Olivia, Nevaeh, Lydia, Layla\"], [\"what did I eat for dinner on 2012/05/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3731\", \"logical_representation\": [\"2012/05/27\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/27?\", \"10 minutes\"], [\"what did I watch on tv on 2012/05/27?\", \"a tv series\"], [\"Did I watch tv on 2012/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/28\": {\"exercise\": {\"eid\": \"e3732\", \"logical_representation\": [\"2012/05/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/05/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/05/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3733\", \"logical_representation\": [\"2012/05/28\", \"breakfast\", \"cereals\", \"Claire, Lydia, Layla, Avery, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/05/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3734\", \"logical_representation\": [\"2012/05/28\", \"dinner\", \"sandwich\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3735\", \"logical_representation\": [\"2012/05/28\", \"Kinsley, Eva, Piper\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Kinsley, Eva, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Piper late in the evening on 2012/05/28?\", \"45 minutes\"], [\"who did I talk to on 2012/05/28?\", \"Kinsley, Eva, Piper\"], [\"Did I talk to Kinsley, Eva, Piper on 2012/05/28?\", \"yes\"], [\"Did I talk to anyone on 2012/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3736\", \"logical_representation\": [\"2012/05/28\", \"Nora, Claire, Nevaeh, Eva\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Nora, Claire, Nevaeh, Eva for 40 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Nevaeh, Eva in the late afternoon on 2012/05/28?\", \"40 minutes\"], [\"who did I talk to on 2012/05/28?\", \"Nora, Claire, Nevaeh, Eva\"], [\"Did I talk to Nora, Claire, Nevaeh, Eva on 2012/05/28?\", \"yes\"], [\"Did I talk to anyone on 2012/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/29\": {\"lunch\": {\"eid\": \"e3737\", \"logical_representation\": [\"2012/05/29\", \"lunch\", \"fish and chips\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Carter, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/05/29?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2012/05/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3738\", \"logical_representation\": [\"2012/05/29\", \"Avery, Claire, Piper\", \"in the morning\", \"21 minutes\"], \"text_template_based\": \"I talked to Avery, Claire, Piper for 21 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire, Piper in the morning on 2012/05/29?\", \"21 minutes\"], [\"who did I talk to on 2012/05/29?\", \"Avery, Claire, Piper\"], [\"Did I talk to Avery, Claire, Piper on 2012/05/29?\", \"yes\"], [\"Did I talk to anyone on 2012/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3739\", \"logical_representation\": [\"2012/05/29\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/05/29?\", \"28 minutes\"], [\"what did I read on 2012/05/29?\", \"social media\"], [\"Did I read on 2012/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3740\", \"logical_representation\": [\"2012/05/29\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/29?\", \"21 minutes\"], [\"what did I watch on tv on 2012/05/29?\", \"news\"], [\"Did I watch tv on 2012/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/30\": {\"breakfast\": {\"eid\": \"e3741\", \"logical_representation\": [\"2012/05/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora, Piper, Piper\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Nora, Piper, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/05/30?\", \"Nora, Piper, Piper\"], [\"what did I eat for breakfast on 2012/05/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3742\", \"logical_representation\": [\"2012/05/30\", \"dinner\", \"sushi\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/30\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3743\", \"logical_representation\": [\"2012/05/30\", \"Layla, Nevaeh, Kinsley\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Layla, Nevaeh, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Kinsley in the early evening on 2012/05/30?\", \"29 minutes\"], [\"who did I talk to on 2012/05/30?\", \"Layla, Nevaeh, Kinsley\"], [\"Did I talk to Layla, Nevaeh, Kinsley on 2012/05/30?\", \"yes\"], [\"Did I talk to anyone on 2012/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3744\", \"logical_representation\": [\"2012/05/30\", \"a movie\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/30?\", \"8 minutes\"], [\"what did I watch on tv on 2012/05/30?\", \"a movie\"], [\"Did I watch tv on 2012/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/01\": {\"exercise\": {\"eid\": \"e3750\", \"logical_representation\": [\"2012/06/01\", \"biking\"], \"text_template_based\": \"I did biking on 2012/06/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/01?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3751\", \"logical_representation\": [\"2012/06/01\", \"lunch\", \"sushi\", \"Avery, Jackson\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/06/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3752\", \"logical_representation\": [\"2012/06/01\", \"dinner\", \"chinese food\", \"Avery, Willow\"], \"text_template_based\": \"I had dinner with Avery, Willow. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/06/01?\", \"Avery, Willow\"], [\"what did I eat for dinner on 2012/06/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3753\", \"logical_representation\": [\"2012/06/01\", \"Lydia, Kinsley, Olivia, Layla\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Lydia, Kinsley, Olivia, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Olivia, Layla in the late afternoon on 2012/06/01?\", \"10 minutes\"], [\"who did I talk to on 2012/06/01?\", \"Lydia, Kinsley, Olivia, Layla\"], [\"Did I talk to Lydia, Kinsley, Olivia, Layla on 2012/06/01?\", \"yes\"], [\"Did I talk to anyone on 2012/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3754\", \"logical_representation\": [\"2012/06/01\", \"Nora\", \"in the morning\", \"23 minutes\"], \"text_template_based\": \"I talked to Nora for 23 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2012/06/01?\", \"23 minutes\"], [\"who did I talk to on 2012/06/01?\", \"Nora\"], [\"Did I talk to Nora on 2012/06/01?\", \"yes\"], [\"Did I talk to anyone on 2012/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3755\", \"logical_representation\": [\"2012/06/01\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/06/01?\", \"43 minutes\"], [\"what did I read on 2012/06/01?\", \"a book\"], [\"Did I read on 2012/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3756\", \"logical_representation\": [\"2012/06/01\", \"a tv series\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/01?\", \"36 minutes\"], [\"what did I watch on tv on 2012/06/01?\", \"a tv series\"], [\"Did I watch tv on 2012/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/03\": {\"dinner\": {\"eid\": \"e3761\", \"logical_representation\": [\"2012/06/03\", \"dinner\", \"a burger\", \"Piper\"], \"text_template_based\": \"I had a burger for dinner with Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/06/03?\", \"Piper\"], [\"what did I eat for dinner on 2012/06/03\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2012/06/05\": {\"breakfast\": {\"eid\": \"e3767\", \"logical_representation\": [\"2012/06/05\", \"breakfast\", \"oatmeal\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/06/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3768\", \"logical_representation\": [\"2012/06/05\", \"lunch\", \"steak\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Andrew, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/06/05?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for lunch on 2012/06/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3769\", \"logical_representation\": [\"2012/06/05\", \"dinner\", \"steak\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had dinner with Jackson, Willow, Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/06/05?\", \"Jackson, Willow, Avery\"], [\"what did I eat for dinner on 2012/06/05\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2012/06/08\": {\"chat0\": {\"eid\": \"e3775\", \"logical_representation\": [\"2012/06/08\", \"Piper, Eva, Claire, Piper\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Claire, Piper for 18 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Claire, Piper during lunch hours on 2012/06/08?\", \"18 minutes\"], [\"who did I talk to on 2012/06/08?\", \"Piper, Eva, Claire, Piper\"], [\"Did I talk to Piper, Eva, Claire, Piper on 2012/06/08?\", \"yes\"], [\"Did I talk to anyone on 2012/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3776\", \"logical_representation\": [\"2012/06/08\", \"Nevaeh, Piper\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper during lunch hours on 2012/06/08?\", \"26 minutes\"], [\"who did I talk to on 2012/06/08?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2012/06/08?\", \"yes\"], [\"Did I talk to anyone on 2012/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3777\", \"logical_representation\": [\"2012/06/08\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/06/08?\", \"37 minutes\"], [\"what did I read on 2012/06/08?\", \"social media\"], [\"Did I read on 2012/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/09\": {\"exercise\": {\"eid\": \"e3778\", \"logical_representation\": [\"2012/06/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/06/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3779\", \"logical_representation\": [\"2012/06/09\", \"Avery, Piper\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Avery, Piper for 8 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the early afternoon on 2012/06/09?\", \"8 minutes\"], [\"who did I talk to on 2012/06/09?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2012/06/09?\", \"yes\"], [\"Did I talk to anyone on 2012/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/10\": {\"exercise\": {\"eid\": \"e3780\", \"logical_representation\": [\"2012/06/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/06/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3781\", \"logical_representation\": [\"2012/06/10\", \"lunch\", \"steak\", \"Avery, Eva, Hazel\"], \"text_template_based\": \"I had steak for lunch with Avery, Eva, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/06/10?\", \"Avery, Eva, Hazel\"], [\"what did I eat for lunch on 2012/06/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3782\", \"logical_representation\": [\"2012/06/10\", \"dinner\", \"tacos\", \"Avery, Jackson\"], \"text_template_based\": \"I had dinner with Avery, Jackson. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/06/10?\", \"Avery, Jackson\"], [\"what did I eat for dinner on 2012/06/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3783\", \"logical_representation\": [\"2012/06/10\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/06/10?\", \"19 minutes\"], [\"what did I read on 2012/06/10?\", \"news\"], [\"Did I read on 2012/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3784\", \"logical_representation\": [\"2012/06/10\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/10?\", \"46 minutes\"], [\"what did I watch on tv on 2012/06/10?\", \"news\"], [\"Did I watch tv on 2012/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/11\": {\"exercise\": {\"eid\": \"e3785\", \"logical_representation\": [\"2012/06/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/06/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3786\", \"logical_representation\": [\"2012/06/11\", \"lunch\", \"sushi\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had sushi for lunch with Kayden, Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/06/11?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2012/06/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3787\", \"logical_representation\": [\"2012/06/11\", \"dinner\", \"steak\", \"Benjamin, Avery\"], \"text_template_based\": \"I had dinner with Benjamin, Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/06/11?\", \"Benjamin, Avery\"], [\"what did I eat for dinner on 2012/06/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3788\", \"logical_representation\": [\"2012/06/11\", \"Nora, Olivia, Kinsley, Avery\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia, Kinsley, Avery for 45 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Kinsley, Avery in the early afternoon on 2012/06/11?\", \"45 minutes\"], [\"who did I talk to on 2012/06/11?\", \"Nora, Olivia, Kinsley, Avery\"], [\"Did I talk to Nora, Olivia, Kinsley, Avery on 2012/06/11?\", \"yes\"], [\"Did I talk to anyone on 2012/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3789\", \"logical_representation\": [\"2012/06/11\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/11?\", \"10 minutes\"], [\"what did I watch on tv on 2012/06/11?\", \"a movie\"], [\"Did I watch tv on 2012/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/12\": {\"lunch\": {\"eid\": \"e3790\", \"logical_representation\": [\"2012/06/12\", \"lunch\", \"steak\", \"Piper, Claire, Piper, Nora, Lydia, Hazel, Layla, Nevaeh, Olivia, Kinsley, Avery, Rylee, Eva\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/06/12\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2012/06/13\": {\"exercise\": {\"eid\": \"e3791\", \"logical_representation\": [\"2012/06/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/06/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3792\", \"logical_representation\": [\"2012/06/13\", \"breakfast\", \"cereals\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/06/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3793\", \"logical_representation\": [\"2012/06/13\", \"Eva, Claire, Piper\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Eva, Claire, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire, Piper in the late afternoon on 2012/06/13?\", \"39 minutes\"], [\"who did I talk to on 2012/06/13?\", \"Eva, Claire, Piper\"], [\"Did I talk to Eva, Claire, Piper on 2012/06/13?\", \"yes\"], [\"Did I talk to anyone on 2012/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3794\", \"logical_representation\": [\"2012/06/13\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/13?\", \"20 minutes\"], [\"what did I watch on tv on 2012/06/13?\", \"a tv series\"], [\"Did I watch tv on 2012/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/14\": {\"breakfast\": {\"eid\": \"e3795\", \"logical_representation\": [\"2012/06/14\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/06/14?\", \"Carter, Kayden\"], [\"what did I eat for breakfast on 2012/06/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3796\", \"logical_representation\": [\"2012/06/14\", \"Layla, Eva\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Layla, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva in the early evening on 2012/06/14?\", \"33 minutes\"], [\"who did I talk to on 2012/06/14?\", \"Layla, Eva\"], [\"Did I talk to Layla, Eva on 2012/06/14?\", \"yes\"], [\"Did I talk to anyone on 2012/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/15\": {\"dinner\": {\"eid\": \"e3797\", \"logical_representation\": [\"2012/06/15\", \"dinner\", \"fish and chips\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/06/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3798\", \"logical_representation\": [\"2012/06/15\", \"Claire\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I talked to Claire for 17 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2012/06/15?\", \"17 minutes\"], [\"who did I talk to on 2012/06/15?\", \"Claire\"], [\"Did I talk to Claire on 2012/06/15?\", \"yes\"], [\"Did I talk to anyone on 2012/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3799\", \"logical_representation\": [\"2012/06/15\", \"Layla, Nevaeh, Piper, Claire\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Layla, Nevaeh, Piper, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Piper, Claire late in the evening on 2012/06/15?\", \"32 minutes\"], [\"who did I talk to on 2012/06/15?\", \"Layla, Nevaeh, Piper, Claire\"], [\"Did I talk to Layla, Nevaeh, Piper, Claire on 2012/06/15?\", \"yes\"], [\"Did I talk to anyone on 2012/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/19\": {\"breakfast\": {\"eid\": \"e3806\", \"logical_representation\": [\"2012/06/19\", \"breakfast\", \"cereals\", \"Hazel, Piper, Lydia, Kinsley, Avery, Claire, Rylee, Nevaeh, Eva, Nora, Piper, Layla\"], \"text_template_based\": \"I had cereals for breakfast with Hazel, Piper, Lydia, Kinsley, Avery, Claire, Rylee, Nevaeh, Eva, Nora, Piper, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/06/19?\", \"Hazel, Piper, Lydia, Kinsley, Avery, Claire, Rylee, Nevaeh, Eva, Nora, Piper, Layla\"], [\"what did I eat for breakfast on 2012/06/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3807\", \"logical_representation\": [\"2012/06/19\", \"dinner\", \"sushi\", \"Benjamin, Jackson\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/06/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3808\", \"logical_representation\": [\"2012/06/19\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/06/19?\", \"40 minutes\"], [\"what did I read on 2012/06/19?\", \"news\"], [\"Did I read on 2012/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/21\": {\"dinner\": {\"eid\": \"e3814\", \"logical_representation\": [\"2012/06/21\", \"dinner\", \"steak\", \"Willow, Benjamin\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/06/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3815\", \"logical_representation\": [\"2012/06/21\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/06/21?\", \"40 minutes\"], [\"what did I read on 2012/06/21?\", \"social media\"], [\"Did I read on 2012/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3816\", \"logical_representation\": [\"2012/06/21\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/21?\", \"22 minutes\"], [\"what did I watch on tv on 2012/06/21?\", \"news\"], [\"Did I watch tv on 2012/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/23\": {\"breakfast\": {\"eid\": \"e3821\", \"logical_representation\": [\"2012/06/23\", \"breakfast\", \"cereals\", \"Nevaeh, Piper, Rylee, Hazel, Eva\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/06/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3822\", \"logical_representation\": [\"2012/06/23\", \"Claire, Nora, Piper\", \"late in the evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Piper for 51 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Piper late in the evening on 2012/06/23?\", \"51 minutes\"], [\"who did I talk to on 2012/06/23?\", \"Claire, Nora, Piper\"], [\"Did I talk to Claire, Nora, Piper on 2012/06/23?\", \"yes\"], [\"Did I talk to anyone on 2012/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3823\", \"logical_representation\": [\"2012/06/23\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/06/23?\", \"13 minutes\"], [\"what did I read on 2012/06/23?\", \"social media\"], [\"Did I read on 2012/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3824\", \"logical_representation\": [\"2012/06/23\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/23?\", \"37 minutes\"], [\"what did I watch on tv on 2012/06/23?\", \"news\"], [\"Did I watch tv on 2012/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/24\": {\"breakfast\": {\"eid\": \"e3825\", \"logical_representation\": [\"2012/06/24\", \"breakfast\", \"toast and cheese\", \"Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/06/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3826\", \"logical_representation\": [\"2012/06/24\", \"dinner\", \"chinese food\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had chinese food for dinner with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/06/24?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for dinner on 2012/06/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3827\", \"logical_representation\": [\"2012/06/24\", \"Olivia\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I talked to Olivia for 55 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2012/06/24?\", \"55 minutes\"], [\"who did I talk to on 2012/06/24?\", \"Olivia\"], [\"Did I talk to Olivia on 2012/06/24?\", \"yes\"], [\"Did I talk to anyone on 2012/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3828\", \"logical_representation\": [\"2012/06/24\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/06/24?\", \"26 minutes\"], [\"what did I read on 2012/06/24?\", \"news\"], [\"Did I read on 2012/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/25\": {\"exercise\": {\"eid\": \"e3829\", \"logical_representation\": [\"2012/06/25\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/25?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3830\", \"logical_representation\": [\"2012/06/25\", \"breakfast\", \"oatmeal\", \"Carter, Kayden\"], \"text_template_based\": \"I had oatmeal for breakfast with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/06/25?\", \"Carter, Kayden\"], [\"what did I eat for breakfast on 2012/06/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3831\", \"logical_representation\": [\"2012/06/25\", \"lunch\", \"a burger\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/06/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3832\", \"logical_representation\": [\"2012/06/25\", \"dinner\", \"tacos\", \"Hazel, Nora, Rylee, Kinsley, Olivia, Layla, Claire, Avery, Lydia, Piper, Nevaeh, Eva\"], \"text_template_based\": \"I had dinner with Hazel, Nora, Rylee, Kinsley, Olivia, Layla, Claire, Avery, Lydia, Piper, Nevaeh, Eva. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/06/25?\", \"Hazel, Nora, Rylee, Kinsley, Olivia, Layla, Claire, Avery, Lydia, Piper, Nevaeh, Eva\"], [\"what did I eat for dinner on 2012/06/25\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3833\", \"logical_representation\": [\"2012/06/25\", \"Piper, Rylee, Piper\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Piper, Rylee, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Piper in the early afternoon on 2012/06/25?\", \"10 minutes\"], [\"who did I talk to on 2012/06/25?\", \"Piper, Rylee, Piper\"], [\"Did I talk to Piper, Rylee, Piper on 2012/06/25?\", \"yes\"], [\"Did I talk to anyone on 2012/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3834\", \"logical_representation\": [\"2012/06/25\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/06/25?\", \"30 minutes\"], [\"what did I read on 2012/06/25?\", \"news\"], [\"Did I read on 2012/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3835\", \"logical_representation\": [\"2012/06/25\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/25?\", \"17 minutes\"], [\"what did I watch on tv on 2012/06/25?\", \"news\"], [\"Did I watch tv on 2012/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/28\": {\"breakfast\": {\"eid\": \"e3846\", \"logical_representation\": [\"2012/06/28\", \"breakfast\", \"pancakes\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/06/28?\", \"Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2012/06/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3847\", \"logical_representation\": [\"2012/06/28\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/06/28?\", \"Kayden\"], [\"what did I eat for lunch on 2012/06/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3848\", \"logical_representation\": [\"2012/06/28\", \"Olivia\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the late afternoon on 2012/06/28?\", \"28 minutes\"], [\"who did I talk to on 2012/06/28?\", \"Olivia\"], [\"Did I talk to Olivia on 2012/06/28?\", \"yes\"], [\"Did I talk to anyone on 2012/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3849\", \"logical_representation\": [\"2012/06/28\", \"a movie\", \"42 minutes\"], \"text_template_based\": \"I watched a movie for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/28?\", \"42 minutes\"], [\"what did I watch on tv on 2012/06/28?\", \"a movie\"], [\"Did I watch tv on 2012/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/30\": {\"breakfast\": {\"eid\": \"e3855\", \"logical_representation\": [\"2012/06/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/06/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3856\", \"logical_representation\": [\"2012/06/30\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/06/30?\", \"40 minutes\"], [\"what did I read on 2012/06/30?\", \"social media\"], [\"Did I read on 2012/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/03\": {\"exercise\": {\"eid\": \"e3868\", \"logical_representation\": [\"2012/07/03\", \"running\"], \"text_template_based\": \"I did running on 2012/07/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3869\", \"logical_representation\": [\"2012/07/03\", \"breakfast\", \"oatmeal\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3870\", \"logical_representation\": [\"2012/07/03\", \"dinner\", \"chinese food\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had chinese food for dinner with Andrew, Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/07/03?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for dinner on 2012/07/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3871\", \"logical_representation\": [\"2012/07/03\", \"Kinsley\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Kinsley for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the morning on 2012/07/03?\", \"43 minutes\"], [\"who did I talk to on 2012/07/03?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2012/07/03?\", \"yes\"], [\"Did I talk to anyone on 2012/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/05\": {\"exercise\": {\"eid\": \"e3877\", \"logical_representation\": [\"2012/07/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/07/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3878\", \"logical_representation\": [\"2012/07/05\", \"lunch\", \"indian food\", \"Benjamin\"], \"text_template_based\": \"I had indian food for lunch with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/07/05?\", \"Benjamin\"], [\"what did I eat for lunch on 2012/07/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3879\", \"logical_representation\": [\"2012/07/05\", \"Lydia, Piper\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper for 17 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper late in the evening on 2012/07/05?\", \"17 minutes\"], [\"who did I talk to on 2012/07/05?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2012/07/05?\", \"yes\"], [\"Did I talk to anyone on 2012/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3880\", \"logical_representation\": [\"2012/07/05\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/05?\", \"44 minutes\"], [\"what did I watch on tv on 2012/07/05?\", \"news\"], [\"Did I watch tv on 2012/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/06\": {\"exercise\": {\"eid\": \"e3881\", \"logical_representation\": [\"2012/07/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/07/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3882\", \"logical_representation\": [\"2012/07/06\", \"dinner\", \"a burger\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/07/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3883\", \"logical_representation\": [\"2012/07/06\", \"social media\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/07/06?\", \"41 minutes\"], [\"what did I read on 2012/07/06?\", \"social media\"], [\"Did I read on 2012/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/08\": {\"breakfast\": {\"eid\": \"e3889\", \"logical_representation\": [\"2012/07/08\", \"breakfast\", \"cereals\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/07/08?\", \"Carter, Emily, Kayden\"], [\"what did I eat for breakfast on 2012/07/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3890\", \"logical_representation\": [\"2012/07/08\", \"lunch\", \"fish and chips\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/07/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3891\", \"logical_representation\": [\"2012/07/08\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I watched a tv series for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/08?\", \"5 minutes\"], [\"what did I watch on tv on 2012/07/08?\", \"a tv series\"], [\"Did I watch tv on 2012/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/09\": {\"breakfast\": {\"eid\": \"e3892\", \"logical_representation\": [\"2012/07/09\", \"breakfast\", \"pancakes\", \"Avery\"], \"text_template_based\": \"I had breakfast with Avery. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/07/09?\", \"Avery\"], [\"what did I eat for breakfast on 2012/07/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3893\", \"logical_representation\": [\"2012/07/09\", \"lunch\", \"steak\", \"Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/07/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3894\", \"logical_representation\": [\"2012/07/09\", \"dinner\", \"chinese food\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/07/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2012/07/10\": {\"lunch\": {\"eid\": \"e3895\", \"logical_representation\": [\"2012/07/10\", \"lunch\", \"indian food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/07/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3896\", \"logical_representation\": [\"2012/07/10\", \"Nevaeh\", \"in the morning\", \"42 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 42 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2012/07/10?\", \"42 minutes\"], [\"who did I talk to on 2012/07/10?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2012/07/10?\", \"yes\"], [\"Did I talk to anyone on 2012/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3897\", \"logical_representation\": [\"2012/07/10\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/07/10?\", \"22 minutes\"], [\"what did I read on 2012/07/10?\", \"social media\"], [\"Did I read on 2012/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3898\", \"logical_representation\": [\"2012/07/10\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/10?\", \"8 minutes\"], [\"what did I watch on tv on 2012/07/10?\", \"a tv series\"], [\"Did I watch tv on 2012/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/11\": {\"exercise\": {\"eid\": \"e3899\", \"logical_representation\": [\"2012/07/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/07/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3900\", \"logical_representation\": [\"2012/07/11\", \"lunch\", \"pasta\", \"Olivia, Piper\"], \"text_template_based\": \"I had pasta for lunch with Olivia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/07/11?\", \"Olivia, Piper\"], [\"what did I eat for lunch on 2012/07/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3901\", \"logical_representation\": [\"2012/07/11\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/07/11?\", \"17 minutes\"], [\"what did I read on 2012/07/11?\", \"news\"], [\"Did I read on 2012/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3902\", \"logical_representation\": [\"2012/07/11\", \"a movie\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/11?\", \"35 minutes\"], [\"what did I watch on tv on 2012/07/11?\", \"a movie\"], [\"Did I watch tv on 2012/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/12\": {\"exercise\": {\"eid\": \"e3903\", \"logical_representation\": [\"2012/07/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/07/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3904\", \"logical_representation\": [\"2012/07/12\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3905\", \"logical_representation\": [\"2012/07/12\", \"dinner\", \"a burger\", \"Rylee\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/07/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3906\", \"logical_representation\": [\"2012/07/12\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/07/12?\", \"17 minutes\"], [\"what did I read on 2012/07/12?\", \"news\"], [\"Did I read on 2012/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/13\": {\"exercise\": {\"eid\": \"e3907\", \"logical_representation\": [\"2012/07/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/07/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3908\", \"logical_representation\": [\"2012/07/13\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/07/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3909\", \"logical_representation\": [\"2012/07/13\", \"dinner\", \"steak\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/07/13?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2012/07/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3910\", \"logical_representation\": [\"2012/07/13\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/07/13?\", \"34 minutes\"], [\"what did I read on 2012/07/13?\", \"a book\"], [\"Did I read on 2012/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3911\", \"logical_representation\": [\"2012/07/13\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/13?\", \"47 minutes\"], [\"what did I watch on tv on 2012/07/13?\", \"a documentary\"], [\"Did I watch tv on 2012/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/14\": {\"exercise\": {\"eid\": \"e3912\", \"logical_representation\": [\"2012/07/14\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/07/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/14?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3913\", \"logical_representation\": [\"2012/07/14\", \"breakfast\", \"pancakes\", \"Rylee, Lydia, Layla, Piper, Eva, Claire, Kinsley, Nora, Piper, Olivia, Hazel, Avery\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3914\", \"logical_representation\": [\"2012/07/14\", \"lunch\", \"chinese food\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/07/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3915\", \"logical_representation\": [\"2012/07/14\", \"Kinsley, Piper, Piper, Nora\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Piper, Nora for 31 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Piper, Nora in the early afternoon on 2012/07/14?\", \"31 minutes\"], [\"who did I talk to on 2012/07/14?\", \"Kinsley, Piper, Piper, Nora\"], [\"Did I talk to Kinsley, Piper, Piper, Nora on 2012/07/14?\", \"yes\"], [\"Did I talk to anyone on 2012/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3916\", \"logical_representation\": [\"2012/07/14\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/14?\", \"30 minutes\"], [\"what did I watch on tv on 2012/07/14?\", \"news\"], [\"Did I watch tv on 2012/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/17\": {\"exercise\": {\"eid\": \"e3925\", \"logical_representation\": [\"2012/07/17\", \"running\"], \"text_template_based\": \"I did running on 2012/07/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3926\", \"logical_representation\": [\"2012/07/17\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/07/17?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2012/07/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3927\", \"logical_representation\": [\"2012/07/17\", \"Lydia, Layla\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Lydia, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla in the early afternoon on 2012/07/17?\", \"17 minutes\"], [\"who did I talk to on 2012/07/17?\", \"Lydia, Layla\"], [\"Did I talk to Lydia, Layla on 2012/07/17?\", \"yes\"], [\"Did I talk to anyone on 2012/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3928\", \"logical_representation\": [\"2012/07/17\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/07/17?\", \"31 minutes\"], [\"what did I read on 2012/07/17?\", \"news\"], [\"Did I read on 2012/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/18\": {\"exercise\": {\"eid\": \"e3929\", \"logical_representation\": [\"2012/07/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/07/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3930\", \"logical_representation\": [\"2012/07/18\", \"lunch\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/07/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3931\", \"logical_representation\": [\"2012/07/18\", \"Rylee\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I talked to Rylee for 12 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2012/07/18?\", \"12 minutes\"], [\"who did I talk to on 2012/07/18?\", \"Rylee\"], [\"Did I talk to Rylee on 2012/07/18?\", \"yes\"], [\"Did I talk to anyone on 2012/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3932\", \"logical_representation\": [\"2012/07/18\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/07/18?\", \"39 minutes\"], [\"what did I read on 2012/07/18?\", \"news\"], [\"Did I read on 2012/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/20\": {\"exercise\": {\"eid\": \"e3937\", \"logical_representation\": [\"2012/07/20\", \"biking\"], \"text_template_based\": \"I did biking on 2012/07/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3938\", \"logical_representation\": [\"2012/07/20\", \"breakfast\", \"cereals\", \"Willow\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3939\", \"logical_representation\": [\"2012/07/20\", \"dinner\", \"indian food\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/07/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3940\", \"logical_representation\": [\"2012/07/20\", \"Hazel, Piper\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Hazel, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper in the late afternoon on 2012/07/20?\", \"23 minutes\"], [\"who did I talk to on 2012/07/20?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2012/07/20?\", \"yes\"], [\"Did I talk to anyone on 2012/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/21\": {\"exercise\": {\"eid\": \"e3941\", \"logical_representation\": [\"2012/07/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3942\", \"logical_representation\": [\"2012/07/21\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3943\", \"logical_representation\": [\"2012/07/21\", \"lunch\", \"steak\", \"Avery\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/07/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3944\", \"logical_representation\": [\"2012/07/21\", \"Piper\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Piper for 51 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2012/07/21?\", \"51 minutes\"], [\"who did I talk to on 2012/07/21?\", \"Piper\"], [\"Did I talk to Piper on 2012/07/21?\", \"yes\"], [\"Did I talk to anyone on 2012/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3945\", \"logical_representation\": [\"2012/07/21\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/21?\", \"19 minutes\"], [\"what did I watch on tv on 2012/07/21?\", \"a movie\"], [\"Did I watch tv on 2012/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/23\": {\"breakfast\": {\"eid\": \"e3952\", \"logical_representation\": [\"2012/07/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Avery, Piper, Rylee, Lydia, Nora\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3953\", \"logical_representation\": [\"2012/07/23\", \"lunch\", \"tacos\", \"Carter\"], \"text_template_based\": \"I had tacos for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/07/23?\", \"Carter\"], [\"what did I eat for lunch on 2012/07/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3954\", \"logical_representation\": [\"2012/07/23\", \"dinner\", \"sandwich\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner with Emily, Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/07/23?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2012/07/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3955\", \"logical_representation\": [\"2012/07/23\", \"Olivia\", \"in the early afternoon\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early afternoon on 2012/07/23?\", \"35 minutes\"], [\"who did I talk to on 2012/07/23?\", \"Olivia\"], [\"Did I talk to Olivia on 2012/07/23?\", \"yes\"], [\"Did I talk to anyone on 2012/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/24\": {\"exercise\": {\"eid\": \"e3956\", \"logical_representation\": [\"2012/07/24\", \"running\"], \"text_template_based\": \"I did running on 2012/07/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/24?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2012/07/25\": {\"exercise\": {\"eid\": \"e3957\", \"logical_representation\": [\"2012/07/25\", \"running\"], \"text_template_based\": \"I did running on 2012/07/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3958\", \"logical_representation\": [\"2012/07/25\", \"Olivia\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Olivia for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the morning on 2012/07/25?\", \"30 minutes\"], [\"who did I talk to on 2012/07/25?\", \"Olivia\"], [\"Did I talk to Olivia on 2012/07/25?\", \"yes\"], [\"Did I talk to anyone on 2012/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3959\", \"logical_representation\": [\"2012/07/25\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/07/25?\", \"32 minutes\"], [\"what did I read on 2012/07/25?\", \"social media\"], [\"Did I read on 2012/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/26\": {\"read\": {\"eid\": \"e3960\", \"logical_representation\": [\"2012/07/26\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/07/26?\", \"36 minutes\"], [\"what did I read on 2012/07/26?\", \"a book\"], [\"Did I read on 2012/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/27\": {\"lunch\": {\"eid\": \"e3961\", \"logical_representation\": [\"2012/07/27\", \"lunch\", \"chinese food\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Kayden, Carter, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/07/27?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2012/07/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3962\", \"logical_representation\": [\"2012/07/27\", \"dinner\", \"tacos\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/07/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3963\", \"logical_representation\": [\"2012/07/27\", \"Layla, Hazel, Lydia\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Layla, Hazel, Lydia for 31 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Lydia late in the evening on 2012/07/27?\", \"31 minutes\"], [\"who did I talk to on 2012/07/27?\", \"Layla, Hazel, Lydia\"], [\"Did I talk to Layla, Hazel, Lydia on 2012/07/27?\", \"yes\"], [\"Did I talk to anyone on 2012/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/31\": {\"breakfast\": {\"eid\": \"e3974\", \"logical_representation\": [\"2012/07/31\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/31\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3975\", \"logical_representation\": [\"2012/07/31\", \"lunch\", \"sandwich\", \"Eva, Avery, Nora, Piper, Piper, Hazel, Claire, Kinsley, Nevaeh, Olivia, Lydia, Rylee\"], \"text_template_based\": \"I had sandwich for lunch with Eva, Avery, Nora, Piper, Piper, Hazel, Claire, Kinsley, Nevaeh, Olivia, Lydia, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/07/31?\", \"Eva, Avery, Nora, Piper, Piper, Hazel, Claire, Kinsley, Nevaeh, Olivia, Lydia, Rylee\"], [\"what did I eat for lunch on 2012/07/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3976\", \"logical_representation\": [\"2012/07/31\", \"dinner\", \"pasta\", \"Piper, Nora, Nevaeh, Eva, Layla\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/07/31\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3977\", \"logical_representation\": [\"2012/07/31\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/07/31?\", \"26 minutes\"], [\"what did I read on 2012/07/31?\", \"a book\"], [\"Did I read on 2012/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3978\", \"logical_representation\": [\"2012/07/31\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I watched a tv series for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/31?\", \"13 minutes\"], [\"what did I watch on tv on 2012/07/31?\", \"a tv series\"], [\"Did I watch tv on 2012/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/01\": {\"breakfast\": {\"eid\": \"e3979\", \"logical_representation\": [\"2012/08/01\", \"breakfast\", \"oatmeal\", \"Avery, Eva, Layla, Nevaeh, Piper, Piper, Kinsley, Hazel, Nora\"], \"text_template_based\": \"I had oatmeal for breakfast with Avery, Eva, Layla, Nevaeh, Piper, Piper, Kinsley, Hazel, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/08/01?\", \"Avery, Eva, Layla, Nevaeh, Piper, Piper, Kinsley, Hazel, Nora\"], [\"what did I eat for breakfast on 2012/08/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e3980\", \"logical_representation\": [\"2012/08/01\", \"Eva, Nevaeh, Avery, Layla\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Eva, Nevaeh, Avery, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Avery, Layla in the late afternoon on 2012/08/01?\", \"23 minutes\"], [\"who did I talk to on 2012/08/01?\", \"Eva, Nevaeh, Avery, Layla\"], [\"Did I talk to Eva, Nevaeh, Avery, Layla on 2012/08/01?\", \"yes\"], [\"Did I talk to anyone on 2012/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3981\", \"logical_representation\": [\"2012/08/01\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/08/01?\", \"33 minutes\"], [\"what did I read on 2012/08/01?\", \"social media\"], [\"Did I read on 2012/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3982\", \"logical_representation\": [\"2012/08/01\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/01?\", \"36 minutes\"], [\"what did I watch on tv on 2012/08/01?\", \"a movie\"], [\"Did I watch tv on 2012/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/02\": {\"breakfast\": {\"eid\": \"e3983\", \"logical_representation\": [\"2012/08/02\", \"breakfast\", \"pancakes\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Emily, Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/08/02?\", \"Andrew, Emily, Carter\"], [\"what did I eat for breakfast on 2012/08/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3984\", \"logical_representation\": [\"2012/08/02\", \"dinner\", \"tacos\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3985\", \"logical_representation\": [\"2012/08/02\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/08/02?\", \"20 minutes\"], [\"what did I read on 2012/08/02?\", \"social media\"], [\"Did I read on 2012/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3986\", \"logical_representation\": [\"2012/08/02\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/02?\", \"53 minutes\"], [\"what did I watch on tv on 2012/08/02?\", \"a movie\"], [\"Did I watch tv on 2012/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/05\": {\"lunch\": {\"eid\": \"e3995\", \"logical_representation\": [\"2012/08/05\", \"lunch\", \"fish and chips\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3996\", \"logical_representation\": [\"2012/08/05\", \"dinner\", \"pasta\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3997\", \"logical_representation\": [\"2012/08/05\", \"Layla, Kinsley, Lydia\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Layla, Kinsley, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Lydia in the early afternoon on 2012/08/05?\", \"23 minutes\"], [\"who did I talk to on 2012/08/05?\", \"Layla, Kinsley, Lydia\"], [\"Did I talk to Layla, Kinsley, Lydia on 2012/08/05?\", \"yes\"], [\"Did I talk to anyone on 2012/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3998\", \"logical_representation\": [\"2012/08/05\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/08/05?\", \"12 minutes\"], [\"what did I read on 2012/08/05?\", \"social media\"], [\"Did I read on 2012/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/06\": {\"breakfast\": {\"eid\": \"e3999\", \"logical_representation\": [\"2012/08/06\", \"breakfast\", \"toast and cheese\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had toast and cheese for breakfast with Benjamin, Jackson, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/08/06?\", \"Benjamin, Jackson, Avery, Willow\"], [\"what did I eat for breakfast on 2012/08/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4000\", \"logical_representation\": [\"2012/08/06\", \"Rylee, Hazel, Kinsley, Olivia\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I talked to Rylee, Hazel, Kinsley, Olivia for 54 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel, Kinsley, Olivia in the morning on 2012/08/06?\", \"54 minutes\"], [\"who did I talk to on 2012/08/06?\", \"Rylee, Hazel, Kinsley, Olivia\"], [\"Did I talk to Rylee, Hazel, Kinsley, Olivia on 2012/08/06?\", \"yes\"], [\"Did I talk to anyone on 2012/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/07\": {\"exercise\": {\"eid\": \"e4001\", \"logical_representation\": [\"2012/08/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/08/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4002\", \"logical_representation\": [\"2012/08/07\", \"breakfast\", \"oatmeal\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/08/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4003\", \"logical_representation\": [\"2012/08/07\", \"lunch\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/08/07?\", \"Andrew\"], [\"what did I eat for lunch on 2012/08/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4004\", \"logical_representation\": [\"2012/08/07\", \"dinner\", \"fish and chips\", \"Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4005\", \"logical_representation\": [\"2012/08/07\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I watched a documentary for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/07?\", \"9 minutes\"], [\"what did I watch on tv on 2012/08/07?\", \"a documentary\"], [\"Did I watch tv on 2012/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/09\": {\"breakfast\": {\"eid\": \"e4009\", \"logical_representation\": [\"2012/08/09\", \"breakfast\", \"toast and cheese\", \"Kinsley, Claire, Olivia, Nora, Eva, Piper\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/08/09\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4010\", \"logical_representation\": [\"2012/08/09\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/08/09?\", \"14 minutes\"], [\"what did I read on 2012/08/09?\", \"a book\"], [\"Did I read on 2012/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/10\": {\"breakfast\": {\"eid\": \"e4011\", \"logical_representation\": [\"2012/08/10\", \"breakfast\", \"oatmeal\", \"Claire, Kinsley, Olivia, Rylee, Eva, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/08/10\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4012\", \"logical_representation\": [\"2012/08/10\", \"dinner\", \"sandwich\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4013\", \"logical_representation\": [\"2012/08/10\", \"Claire, Kinsley, Nora\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I talked to Claire, Kinsley, Nora for 19 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Nora in the morning on 2012/08/10?\", \"19 minutes\"], [\"who did I talk to on 2012/08/10?\", \"Claire, Kinsley, Nora\"], [\"Did I talk to Claire, Kinsley, Nora on 2012/08/10?\", \"yes\"], [\"Did I talk to anyone on 2012/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4014\", \"logical_representation\": [\"2012/08/10\", \"Layla, Nora, Claire, Kinsley\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I talked to Layla, Nora, Claire, Kinsley for 39 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Claire, Kinsley during lunch hours on 2012/08/10?\", \"39 minutes\"], [\"who did I talk to on 2012/08/10?\", \"Layla, Nora, Claire, Kinsley\"], [\"Did I talk to Layla, Nora, Claire, Kinsley on 2012/08/10?\", \"yes\"], [\"Did I talk to anyone on 2012/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4015\", \"logical_representation\": [\"2012/08/10\", \"a movie\", \"44 minutes\"], \"text_template_based\": \"I watched a movie for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/10?\", \"44 minutes\"], [\"what did I watch on tv on 2012/08/10?\", \"a movie\"], [\"Did I watch tv on 2012/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/11\": {\"breakfast\": {\"eid\": \"e4016\", \"logical_representation\": [\"2012/08/11\", \"breakfast\", \"pancakes\", \"Piper, Eva, Layla, Rylee\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/08/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4017\", \"logical_representation\": [\"2012/08/11\", \"lunch\", \"sandwich\", \"Emily, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/08/11?\", \"Emily, Andrew\"], [\"what did I eat for lunch on 2012/08/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4018\", \"logical_representation\": [\"2012/08/11\", \"dinner\", \"sushi\", \"Hazel, Layla, Claire, Avery, Lydia, Nevaeh, Rylee, Piper, Kinsley, Olivia\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4019\", \"logical_representation\": [\"2012/08/11\", \"Rylee, Piper, Piper\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper, Piper for 31 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Piper in the morning on 2012/08/11?\", \"31 minutes\"], [\"who did I talk to on 2012/08/11?\", \"Rylee, Piper, Piper\"], [\"Did I talk to Rylee, Piper, Piper on 2012/08/11?\", \"yes\"], [\"Did I talk to anyone on 2012/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4020\", \"logical_representation\": [\"2012/08/11\", \"news\", \"7 minutes\"], \"text_template_based\": \"I watched news for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/11?\", \"7 minutes\"], [\"what did I watch on tv on 2012/08/11?\", \"news\"], [\"Did I watch tv on 2012/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/12\": {\"exercise\": {\"eid\": \"e4021\", \"logical_representation\": [\"2012/08/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/08/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4022\", \"logical_representation\": [\"2012/08/12\", \"lunch\", \"tacos\", \"Jackson\"], \"text_template_based\": \"I had lunch with Jackson. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/08/12?\", \"Jackson\"], [\"what did I eat for lunch on 2012/08/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4023\", \"logical_representation\": [\"2012/08/12\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/08/12?\", \"28 minutes\"], [\"what did I read on 2012/08/12?\", \"social media\"], [\"Did I read on 2012/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/13\": {\"chat0\": {\"eid\": \"e4024\", \"logical_representation\": [\"2012/08/13\", \"Nevaeh, Eva\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva for 33 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva late in the evening on 2012/08/13?\", \"33 minutes\"], [\"who did I talk to on 2012/08/13?\", \"Nevaeh, Eva\"], [\"Did I talk to Nevaeh, Eva on 2012/08/13?\", \"yes\"], [\"Did I talk to anyone on 2012/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4025\", \"logical_representation\": [\"2012/08/13\", \"news\", \"23 minutes\"], \"text_template_based\": \"I watched news for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/13?\", \"23 minutes\"], [\"what did I watch on tv on 2012/08/13?\", \"news\"], [\"Did I watch tv on 2012/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/17\": {\"breakfast\": {\"eid\": \"e4037\", \"logical_representation\": [\"2012/08/17\", \"breakfast\", \"pancakes\", \"Hazel, Nora, Piper, Rylee, Piper, Avery, Kinsley, Claire, Nevaeh, Lydia, Layla, Olivia\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/08/17\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4038\", \"logical_representation\": [\"2012/08/17\", \"lunch\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4039\", \"logical_representation\": [\"2012/08/17\", \"dinner\", \"steak\", \"Nevaeh, Rylee, Piper, Claire, Eva, Kinsley, Hazel, Nora, Avery, Piper, Olivia, Lydia, Layla\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/17\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2012/08/18\": {\"exercise\": {\"eid\": \"e4040\", \"logical_representation\": [\"2012/08/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/08/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4041\", \"logical_representation\": [\"2012/08/18\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had oatmeal for breakfast with Kayden, Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/08/18?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for breakfast on 2012/08/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4042\", \"logical_representation\": [\"2012/08/18\", \"lunch\", \"chinese food\", \"Carter, Kayden\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4043\", \"logical_representation\": [\"2012/08/18\", \"dinner\", \"fish and chips\", \"Piper, Eva, Kinsley, Lydia, Rylee, Nevaeh, Hazel, Layla, Olivia\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4044\", \"logical_representation\": [\"2012/08/18\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/08/18?\", \"33 minutes\"], [\"what did I read on 2012/08/18?\", \"a book\"], [\"Did I read on 2012/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4045\", \"logical_representation\": [\"2012/08/18\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I watched a movie for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/18?\", \"50 minutes\"], [\"what did I watch on tv on 2012/08/18?\", \"a movie\"], [\"Did I watch tv on 2012/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/19\": {\"exercise\": {\"eid\": \"e4046\", \"logical_representation\": [\"2012/08/19\", \"running\"], \"text_template_based\": \"I did running on 2012/08/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4047\", \"logical_representation\": [\"2012/08/19\", \"dinner\", \"pasta\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I had dinner with Jackson, Avery, Willow, Benjamin. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/08/19?\", \"Jackson, Avery, Willow, Benjamin\"], [\"what did I eat for dinner on 2012/08/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4048\", \"logical_representation\": [\"2012/08/19\", \"Piper, Nora, Hazel\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Piper, Nora, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Hazel in the morning on 2012/08/19?\", \"19 minutes\"], [\"who did I talk to on 2012/08/19?\", \"Piper, Nora, Hazel\"], [\"Did I talk to Piper, Nora, Hazel on 2012/08/19?\", \"yes\"], [\"Did I talk to anyone on 2012/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4049\", \"logical_representation\": [\"2012/08/19\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/08/19?\", \"32 minutes\"], [\"what did I read on 2012/08/19?\", \"a book\"], [\"Did I read on 2012/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/21\": {\"exercise\": {\"eid\": \"e4055\", \"logical_representation\": [\"2012/08/21\", \"running\"], \"text_template_based\": \"I did running on 2012/08/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4056\", \"logical_representation\": [\"2012/08/21\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/08/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4057\", \"logical_representation\": [\"2012/08/21\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/21\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2012/08/23\": {\"exercise\": {\"eid\": \"e4061\", \"logical_representation\": [\"2012/08/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/08/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4062\", \"logical_representation\": [\"2012/08/23\", \"breakfast\", \"pancakes\", \"Benjamin, Willow\"], \"text_template_based\": \"I had pancakes for breakfast with Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/08/23?\", \"Benjamin, Willow\"], [\"what did I eat for breakfast on 2012/08/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4063\", \"logical_representation\": [\"2012/08/23\", \"lunch\", \"sandwich\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4064\", \"logical_representation\": [\"2012/08/23\", \"dinner\", \"steak\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4065\", \"logical_representation\": [\"2012/08/23\", \"Olivia\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Olivia for 42 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2012/08/23?\", \"42 minutes\"], [\"who did I talk to on 2012/08/23?\", \"Olivia\"], [\"Did I talk to Olivia on 2012/08/23?\", \"yes\"], [\"Did I talk to anyone on 2012/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4066\", \"logical_representation\": [\"2012/08/23\", \"Kinsley, Eva, Hazel\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva, Hazel for 22 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Hazel in the morning on 2012/08/23?\", \"22 minutes\"], [\"who did I talk to on 2012/08/23?\", \"Kinsley, Eva, Hazel\"], [\"Did I talk to Kinsley, Eva, Hazel on 2012/08/23?\", \"yes\"], [\"Did I talk to anyone on 2012/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/25\": {\"chat0\": {\"eid\": \"e4073\", \"logical_representation\": [\"2012/08/25\", \"Kinsley, Rylee, Eva\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Kinsley, Rylee, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Eva in the early evening on 2012/08/25?\", \"29 minutes\"], [\"who did I talk to on 2012/08/25?\", \"Kinsley, Rylee, Eva\"], [\"Did I talk to Kinsley, Rylee, Eva on 2012/08/25?\", \"yes\"], [\"Did I talk to anyone on 2012/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4074\", \"logical_representation\": [\"2012/08/25\", \"a tv series\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/25?\", \"30 minutes\"], [\"what did I watch on tv on 2012/08/25?\", \"a tv series\"], [\"Did I watch tv on 2012/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/26\": {\"exercise\": {\"eid\": \"e4075\", \"logical_representation\": [\"2012/08/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/08/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4076\", \"logical_representation\": [\"2012/08/26\", \"lunch\", \"pasta\", \"Layla, Rylee, Kinsley, Olivia, Avery\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4077\", \"logical_representation\": [\"2012/08/26\", \"dinner\", \"sandwich\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Emily, Andrew, Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/08/26?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2012/08/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4078\", \"logical_representation\": [\"2012/08/26\", \"Hazel\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Hazel for 46 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2012/08/26?\", \"46 minutes\"], [\"who did I talk to on 2012/08/26?\", \"Hazel\"], [\"Did I talk to Hazel on 2012/08/26?\", \"yes\"], [\"Did I talk to anyone on 2012/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4079\", \"logical_representation\": [\"2012/08/26\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/08/26?\", \"43 minutes\"], [\"what did I read on 2012/08/26?\", \"social media\"], [\"Did I read on 2012/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4080\", \"logical_representation\": [\"2012/08/26\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I watched a tv series for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/26?\", \"8 minutes\"], [\"what did I watch on tv on 2012/08/26?\", \"a tv series\"], [\"Did I watch tv on 2012/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/27\": {\"dinner\": {\"eid\": \"e4081\", \"logical_representation\": [\"2012/08/27\", \"dinner\", \"tacos\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Emily, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/08/27?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2012/08/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4082\", \"logical_representation\": [\"2012/08/27\", \"Eva, Avery\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Eva, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery in the late afternoon on 2012/08/27?\", \"25 minutes\"], [\"who did I talk to on 2012/08/27?\", \"Eva, Avery\"], [\"Did I talk to Eva, Avery on 2012/08/27?\", \"yes\"], [\"Did I talk to anyone on 2012/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/30\": {\"exercise\": {\"eid\": \"e4089\", \"logical_representation\": [\"2012/08/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/08/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4090\", \"logical_representation\": [\"2012/08/30\", \"breakfast\", \"cereals\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/08/30\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4091\", \"logical_representation\": [\"2012/08/30\", \"dinner\", \"indian food\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had indian food for dinner with Kayden, Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/08/30?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2012/08/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4092\", \"logical_representation\": [\"2012/08/30\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I watched a movie for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/30?\", \"37 minutes\"], [\"what did I watch on tv on 2012/08/30?\", \"a movie\"], [\"Did I watch tv on 2012/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/31\": {\"dinner\": {\"eid\": \"e4093\", \"logical_representation\": [\"2012/08/31\", \"dinner\", \"sandwich\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had sandwich for dinner with Benjamin, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/08/31?\", \"Benjamin, Willow, Jackson\"], [\"what did I eat for dinner on 2012/08/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4094\", \"logical_representation\": [\"2012/08/31\", \"social media\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/08/31?\", \"15 minutes\"], [\"what did I read on 2012/08/31?\", \"social media\"], [\"Did I read on 2012/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4095\", \"logical_representation\": [\"2012/08/31\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I watched a documentary for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/31?\", \"13 minutes\"], [\"what did I watch on tv on 2012/08/31?\", \"a documentary\"], [\"Did I watch tv on 2012/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/01\": {\"exercise\": {\"eid\": \"e4096\", \"logical_representation\": [\"2012/09/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/09/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4097\", \"logical_representation\": [\"2012/09/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery\"], \"text_template_based\": \"I had breakfast with Avery. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/09/01?\", \"Avery\"], [\"what did I eat for breakfast on 2012/09/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4098\", \"logical_representation\": [\"2012/09/01\", \"lunch\", \"indian food\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4099\", \"logical_representation\": [\"2012/09/01\", \"dinner\", \"chinese food\", \"Nevaeh, Olivia, Kinsley, Eva, Piper, Avery, Claire, Lydia, Hazel, Rylee\"], \"text_template_based\": \"I had chinese food for dinner with Nevaeh, Olivia, Kinsley, Eva, Piper, Avery, Claire, Lydia, Hazel, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/09/01?\", \"Nevaeh, Olivia, Kinsley, Eva, Piper, Avery, Claire, Lydia, Hazel, Rylee\"], [\"what did I eat for dinner on 2012/09/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4100\", \"logical_representation\": [\"2012/09/01\", \"Hazel, Piper\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Hazel, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper in the early evening on 2012/09/01?\", \"24 minutes\"], [\"who did I talk to on 2012/09/01?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2012/09/01?\", \"yes\"], [\"Did I talk to anyone on 2012/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4101\", \"logical_representation\": [\"2012/09/01\", \"social media\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/09/01?\", \"15 minutes\"], [\"what did I read on 2012/09/01?\", \"social media\"], [\"Did I read on 2012/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4102\", \"logical_representation\": [\"2012/09/01\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/01?\", \"11 minutes\"], [\"what did I watch on tv on 2012/09/01?\", \"a movie\"], [\"Did I watch tv on 2012/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/02\": {\"exercise\": {\"eid\": \"e4103\", \"logical_representation\": [\"2012/09/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/09/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4104\", \"logical_representation\": [\"2012/09/02\", \"lunch\", \"tacos\", \"Olivia, Nevaeh, Avery, Lydia, Piper, Kinsley, Layla, Piper\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4105\", \"logical_representation\": [\"2012/09/02\", \"dinner\", \"tacos\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/09/02?\", \"Carter\"], [\"what did I eat for dinner on 2012/09/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4106\", \"logical_representation\": [\"2012/09/02\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/09/02?\", \"26 minutes\"], [\"what did I read on 2012/09/02?\", \"news\"], [\"Did I read on 2012/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4107\", \"logical_representation\": [\"2012/09/02\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I watched a movie for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/02?\", \"46 minutes\"], [\"what did I watch on tv on 2012/09/02?\", \"a movie\"], [\"Did I watch tv on 2012/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/03\": {\"lunch\": {\"eid\": \"e4108\", \"logical_representation\": [\"2012/09/03\", \"lunch\", \"indian food\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4109\", \"logical_representation\": [\"2012/09/03\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4110\", \"logical_representation\": [\"2012/09/03\", \"Kinsley\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Kinsley for 34 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the late afternoon on 2012/09/03?\", \"34 minutes\"], [\"who did I talk to on 2012/09/03?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2012/09/03?\", \"yes\"], [\"Did I talk to anyone on 2012/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4111\", \"logical_representation\": [\"2012/09/03\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/09/03?\", \"10 minutes\"], [\"what did I read on 2012/09/03?\", \"news\"], [\"Did I read on 2012/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/04\": {\"lunch\": {\"eid\": \"e4112\", \"logical_representation\": [\"2012/09/04\", \"lunch\", \"sushi\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4113\", \"logical_representation\": [\"2012/09/04\", \"dinner\", \"chinese food\", \"Benjamin, Jackson\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4114\", \"logical_representation\": [\"2012/09/04\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I watched a movie for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/04?\", \"33 minutes\"], [\"what did I watch on tv on 2012/09/04?\", \"a movie\"], [\"Did I watch tv on 2012/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/05\": {\"dinner\": {\"eid\": \"e4115\", \"logical_representation\": [\"2012/09/05\", \"dinner\", \"fish and chips\", \"Olivia, Claire, Piper, Nora, Nevaeh, Rylee, Avery, Hazel, Eva\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4116\", \"logical_representation\": [\"2012/09/05\", \"Nora\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2012/09/05?\", \"13 minutes\"], [\"who did I talk to on 2012/09/05?\", \"Nora\"], [\"Did I talk to Nora on 2012/09/05?\", \"yes\"], [\"Did I talk to anyone on 2012/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4117\", \"logical_representation\": [\"2012/09/05\", \"a documentary\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/05?\", \"45 minutes\"], [\"what did I watch on tv on 2012/09/05?\", \"a documentary\"], [\"Did I watch tv on 2012/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/06\": {\"exercise\": {\"eid\": \"e4118\", \"logical_representation\": [\"2012/09/06\", \"running\"], \"text_template_based\": \"I did running on 2012/09/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/06?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4119\", \"logical_representation\": [\"2012/09/06\", \"breakfast\", \"peanut-butter-jam\", \"Hazel, Avery, Olivia, Rylee, Lydia, Kinsley, Piper, Eva, Nevaeh, Nora, Layla\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/09/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4120\", \"logical_representation\": [\"2012/09/06\", \"lunch\", \"tacos\", \"Layla, Hazel, Rylee, Piper, Nora\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4121\", \"logical_representation\": [\"2012/09/06\", \"Olivia, Hazel, Piper, Eva\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I talked to Olivia, Hazel, Piper, Eva for 37 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Piper, Eva in the early afternoon on 2012/09/06?\", \"37 minutes\"], [\"who did I talk to on 2012/09/06?\", \"Olivia, Hazel, Piper, Eva\"], [\"Did I talk to Olivia, Hazel, Piper, Eva on 2012/09/06?\", \"yes\"], [\"Did I talk to anyone on 2012/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4122\", \"logical_representation\": [\"2012/09/06\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/09/06?\", \"51 minutes\"], [\"what did I read on 2012/09/06?\", \"social media\"], [\"Did I read on 2012/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/07\": {\"watch tv\": {\"eid\": \"e4123\", \"logical_representation\": [\"2012/09/07\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/07?\", \"15 minutes\"], [\"what did I watch on tv on 2012/09/07?\", \"news\"], [\"Did I watch tv on 2012/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/08\": {\"breakfast\": {\"eid\": \"e4124\", \"logical_representation\": [\"2012/09/08\", \"breakfast\", \"pancakes\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/09/08\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4125\", \"logical_representation\": [\"2012/09/08\", \"lunch\", \"sushi\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had sushi for lunch with Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/09/08?\", \"Emily, Carter, Kayden\"], [\"what did I eat for lunch on 2012/09/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4126\", \"logical_representation\": [\"2012/09/08\", \"Eva\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2012/09/08?\", \"13 minutes\"], [\"who did I talk to on 2012/09/08?\", \"Eva\"], [\"Did I talk to Eva on 2012/09/08?\", \"yes\"], [\"Did I talk to anyone on 2012/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/09\": {\"exercise\": {\"eid\": \"e4127\", \"logical_representation\": [\"2012/09/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/09/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4128\", \"logical_representation\": [\"2012/09/09\", \"dinner\", \"a burger\", \"Claire, Eva, Nevaeh, Nora, Rylee, Olivia, Avery, Lydia\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4129\", \"logical_representation\": [\"2012/09/09\", \"Nora\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2012/09/09?\", \"9 minutes\"], [\"who did I talk to on 2012/09/09?\", \"Nora\"], [\"Did I talk to Nora on 2012/09/09?\", \"yes\"], [\"Did I talk to anyone on 2012/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4130\", \"logical_representation\": [\"2012/09/09\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/09?\", \"37 minutes\"], [\"what did I watch on tv on 2012/09/09?\", \"a documentary\"], [\"Did I watch tv on 2012/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/11\": {\"exercise\": {\"eid\": \"e4134\", \"logical_representation\": [\"2012/09/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/09/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4135\", \"logical_representation\": [\"2012/09/11\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I had pancakes for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/09/11?\", \"Carter\"], [\"what did I eat for breakfast on 2012/09/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4136\", \"logical_representation\": [\"2012/09/11\", \"Layla\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla during lunch hours on 2012/09/11?\", \"41 minutes\"], [\"who did I talk to on 2012/09/11?\", \"Layla\"], [\"Did I talk to Layla on 2012/09/11?\", \"yes\"], [\"Did I talk to anyone on 2012/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4137\", \"logical_representation\": [\"2012/09/11\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I watched a documentary for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/11?\", \"22 minutes\"], [\"what did I watch on tv on 2012/09/11?\", \"a documentary\"], [\"Did I watch tv on 2012/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/12\": {\"lunch\": {\"eid\": \"e4138\", \"logical_representation\": [\"2012/09/12\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/09/12?\", \"Emily\"], [\"what did I eat for lunch on 2012/09/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4139\", \"logical_representation\": [\"2012/09/12\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/12?\", \"15 minutes\"], [\"what did I watch on tv on 2012/09/12?\", \"news\"], [\"Did I watch tv on 2012/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/13\": {\"exercise\": {\"eid\": \"e4140\", \"logical_representation\": [\"2012/09/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/09/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4141\", \"logical_representation\": [\"2012/09/13\", \"breakfast\", \"peanut-butter-jam\", \"Avery\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/09/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4142\", \"logical_representation\": [\"2012/09/13\", \"dinner\", \"pasta\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4143\", \"logical_representation\": [\"2012/09/13\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/09/13?\", \"24 minutes\"], [\"what did I read on 2012/09/13?\", \"a book\"], [\"Did I read on 2012/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/14\": {\"exercise\": {\"eid\": \"e4144\", \"logical_representation\": [\"2012/09/14\", \"biking\"], \"text_template_based\": \"I did biking on 2012/09/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4145\", \"logical_representation\": [\"2012/09/14\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/09/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4146\", \"logical_representation\": [\"2012/09/14\", \"dinner\", \"a burger\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had a burger for dinner with Jackson, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/09/14?\", \"Jackson, Willow, Avery\"], [\"what did I eat for dinner on 2012/09/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4147\", \"logical_representation\": [\"2012/09/14\", \"Nora, Eva, Layla\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Nora, Eva, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Layla in the morning on 2012/09/14?\", \"11 minutes\"], [\"who did I talk to on 2012/09/14?\", \"Nora, Eva, Layla\"], [\"Did I talk to Nora, Eva, Layla on 2012/09/14?\", \"yes\"], [\"Did I talk to anyone on 2012/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4148\", \"logical_representation\": [\"2012/09/14\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/09/14?\", \"32 minutes\"], [\"what did I read on 2012/09/14?\", \"news\"], [\"Did I read on 2012/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4149\", \"logical_representation\": [\"2012/09/14\", \"a movie\", \"35 minutes\"], \"text_template_based\": \"I watched a movie for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/14?\", \"35 minutes\"], [\"what did I watch on tv on 2012/09/14?\", \"a movie\"], [\"Did I watch tv on 2012/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/15\": {\"exercise\": {\"eid\": \"e4150\", \"logical_representation\": [\"2012/09/15\", \"running\"], \"text_template_based\": \"I did running on 2012/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4151\", \"logical_representation\": [\"2012/09/15\", \"breakfast\", \"pancakes\", \"Andrew, Carter\"], \"text_template_based\": \"I had pancakes for breakfast with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/09/15?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2012/09/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4152\", \"logical_representation\": [\"2012/09/15\", \"lunch\", \"sandwich\", \"Olivia\"], \"text_template_based\": \"I had sandwich for lunch with Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/09/15?\", \"Olivia\"], [\"what did I eat for lunch on 2012/09/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4153\", \"logical_representation\": [\"2012/09/15\", \"dinner\", \"steak\", \"Andrew, Carter\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4154\", \"logical_representation\": [\"2012/09/15\", \"Nora, Olivia, Lydia, Hazel\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia, Lydia, Hazel for 47 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Lydia, Hazel late in the evening on 2012/09/15?\", \"47 minutes\"], [\"who did I talk to on 2012/09/15?\", \"Nora, Olivia, Lydia, Hazel\"], [\"Did I talk to Nora, Olivia, Lydia, Hazel on 2012/09/15?\", \"yes\"], [\"Did I talk to anyone on 2012/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4155\", \"logical_representation\": [\"2012/09/15\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I watched a tv series for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/15?\", \"5 minutes\"], [\"what did I watch on tv on 2012/09/15?\", \"a tv series\"], [\"Did I watch tv on 2012/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/17\": {\"exercise\": {\"eid\": \"e4159\", \"logical_representation\": [\"2012/09/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/09/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4160\", \"logical_representation\": [\"2012/09/17\", \"lunch\", \"pasta\", \"Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4161\", \"logical_representation\": [\"2012/09/17\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/09/17?\", \"20 minutes\"], [\"what did I read on 2012/09/17?\", \"a book\"], [\"Did I read on 2012/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4162\", \"logical_representation\": [\"2012/09/17\", \"a movie\", \"16 minutes\"], \"text_template_based\": \"I watched a movie for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/17?\", \"16 minutes\"], [\"what did I watch on tv on 2012/09/17?\", \"a movie\"], [\"Did I watch tv on 2012/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/18\": {\"breakfast\": {\"eid\": \"e4163\", \"logical_representation\": [\"2012/09/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/09/18?\", \"Andrew, Kayden\"], [\"what did I eat for breakfast on 2012/09/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4164\", \"logical_representation\": [\"2012/09/18\", \"lunch\", \"tacos\", \"Willow\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4165\", \"logical_representation\": [\"2012/09/18\", \"Claire\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Claire for 15 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2012/09/18?\", \"15 minutes\"], [\"who did I talk to on 2012/09/18?\", \"Claire\"], [\"Did I talk to Claire on 2012/09/18?\", \"yes\"], [\"Did I talk to anyone on 2012/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/19\": {\"breakfast\": {\"eid\": \"e4166\", \"logical_representation\": [\"2012/09/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Hazel, Eva, Piper, Avery, Olivia, Kinsley, Layla, Claire, Rylee, Lydia, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/09/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4167\", \"logical_representation\": [\"2012/09/19\", \"lunch\", \"indian food\", \"Piper, Kinsley, Hazel, Nevaeh, Eva, Olivia, Rylee, Layla, Avery, Lydia, Piper, Claire, Nora\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/19\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4168\", \"logical_representation\": [\"2012/09/19\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/09/19?\", \"33 minutes\"], [\"what did I read on 2012/09/19?\", \"social media\"], [\"Did I read on 2012/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4169\", \"logical_representation\": [\"2012/09/19\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/19?\", \"55 minutes\"], [\"what did I watch on tv on 2012/09/19?\", \"a tv series\"], [\"Did I watch tv on 2012/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/20\": {\"exercise\": {\"eid\": \"e4170\", \"logical_representation\": [\"2012/09/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/09/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4171\", \"logical_representation\": [\"2012/09/20\", \"lunch\", \"sushi\", \"Claire, Kinsley\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4172\", \"logical_representation\": [\"2012/09/20\", \"Olivia, Rylee, Layla, Kinsley\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I talked to Olivia, Rylee, Layla, Kinsley for 33 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee, Layla, Kinsley in the early evening on 2012/09/20?\", \"33 minutes\"], [\"who did I talk to on 2012/09/20?\", \"Olivia, Rylee, Layla, Kinsley\"], [\"Did I talk to Olivia, Rylee, Layla, Kinsley on 2012/09/20?\", \"yes\"], [\"Did I talk to anyone on 2012/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4173\", \"logical_representation\": [\"2012/09/20\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/20?\", \"51 minutes\"], [\"what did I watch on tv on 2012/09/20?\", \"news\"], [\"Did I watch tv on 2012/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/21\": {\"exercise\": {\"eid\": \"e4174\", \"logical_representation\": [\"2012/09/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/09/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4175\", \"logical_representation\": [\"2012/09/21\", \"breakfast\", \"pancakes\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/09/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4176\", \"logical_representation\": [\"2012/09/21\", \"lunch\", \"sushi\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Carter, Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/09/21?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2012/09/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4177\", \"logical_representation\": [\"2012/09/21\", \"dinner\", \"fish and chips\", \"Kinsley, Hazel, Eva, Lydia, Claire, Piper, Olivia, Rylee\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4178\", \"logical_representation\": [\"2012/09/21\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/21?\", \"27 minutes\"], [\"what did I watch on tv on 2012/09/21?\", \"a documentary\"], [\"Did I watch tv on 2012/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/22\": {\"breakfast\": {\"eid\": \"e4179\", \"logical_representation\": [\"2012/09/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Nora\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Piper, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/09/22?\", \"Piper, Nora\"], [\"what did I eat for breakfast on 2012/09/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4180\", \"logical_representation\": [\"2012/09/22\", \"Lydia\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Lydia for 7 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the late afternoon on 2012/09/22?\", \"7 minutes\"], [\"who did I talk to on 2012/09/22?\", \"Lydia\"], [\"Did I talk to Lydia on 2012/09/22?\", \"yes\"], [\"Did I talk to anyone on 2012/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4181\", \"logical_representation\": [\"2012/09/22\", \"Claire, Hazel, Olivia\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Claire, Hazel, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Olivia in the early evening on 2012/09/22?\", \"20 minutes\"], [\"who did I talk to on 2012/09/22?\", \"Claire, Hazel, Olivia\"], [\"Did I talk to Claire, Hazel, Olivia on 2012/09/22?\", \"yes\"], [\"Did I talk to anyone on 2012/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/24\": {\"exercise\": {\"eid\": \"e4188\", \"logical_representation\": [\"2012/09/24\", \"running\"], \"text_template_based\": \"I did running on 2012/09/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/24?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4189\", \"logical_representation\": [\"2012/09/24\", \"lunch\", \"steak\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4190\", \"logical_representation\": [\"2012/09/24\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/09/24?\", \"50 minutes\"], [\"what did I read on 2012/09/24?\", \"social media\"], [\"Did I read on 2012/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/26\": {\"breakfast\": {\"eid\": \"e4195\", \"logical_representation\": [\"2012/09/26\", \"breakfast\", \"toast and cheese\", \"Eva, Nora, Kinsley, Claire, Nevaeh, Rylee, Olivia, Layla, Piper, Avery, Lydia, Hazel, Piper\"], \"text_template_based\": \"I had toast and cheese for breakfast with Eva, Nora, Kinsley, Claire, Nevaeh, Rylee, Olivia, Layla, Piper, Avery, Lydia, Hazel, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/09/26?\", \"Eva, Nora, Kinsley, Claire, Nevaeh, Rylee, Olivia, Layla, Piper, Avery, Lydia, Hazel, Piper\"], [\"what did I eat for breakfast on 2012/09/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4196\", \"logical_representation\": [\"2012/09/26\", \"lunch\", \"chinese food\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4197\", \"logical_representation\": [\"2012/09/26\", \"Piper, Lydia, Nevaeh\", \"during lunch hours\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Piper, Lydia, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Nevaeh during lunch hours on 2012/09/26?\", \"5 minutes\"], [\"who did I talk to on 2012/09/26?\", \"Piper, Lydia, Nevaeh\"], [\"Did I talk to Piper, Lydia, Nevaeh on 2012/09/26?\", \"yes\"], [\"Did I talk to anyone on 2012/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4198\", \"logical_representation\": [\"2012/09/26\", \"Layla, Hazel, Eva\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I talked to Layla, Hazel, Eva for 11 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Eva in the morning on 2012/09/26?\", \"11 minutes\"], [\"who did I talk to on 2012/09/26?\", \"Layla, Hazel, Eva\"], [\"Did I talk to Layla, Hazel, Eva on 2012/09/26?\", \"yes\"], [\"Did I talk to anyone on 2012/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4199\", \"logical_representation\": [\"2012/09/26\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/09/26?\", \"21 minutes\"], [\"what did I read on 2012/09/26?\", \"social media\"], [\"Did I read on 2012/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/27\": {\"breakfast\": {\"eid\": \"e4200\", \"logical_representation\": [\"2012/09/27\", \"breakfast\", \"oatmeal\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/09/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4201\", \"logical_representation\": [\"2012/09/27\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/09/27?\", \"10 minutes\"], [\"what did I read on 2012/09/27?\", \"news\"], [\"Did I read on 2012/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4202\", \"logical_representation\": [\"2012/09/27\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I watched a tv series for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/27?\", \"9 minutes\"], [\"what did I watch on tv on 2012/09/27?\", \"a tv series\"], [\"Did I watch tv on 2012/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/28\": {\"exercise\": {\"eid\": \"e4203\", \"logical_representation\": [\"2012/09/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/09/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4204\", \"logical_representation\": [\"2012/09/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Nevaeh, Piper, Avery, Rylee, Nora, Kinsley, Claire\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Eva, Nevaeh, Piper, Avery, Rylee, Nora, Kinsley, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/09/28?\", \"Eva, Nevaeh, Piper, Avery, Rylee, Nora, Kinsley, Claire\"], [\"what did I eat for breakfast on 2012/09/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4205\", \"logical_representation\": [\"2012/09/28\", \"lunch\", \"sandwich\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4206\", \"logical_representation\": [\"2012/09/28\", \"dinner\", \"indian food\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4207\", \"logical_representation\": [\"2012/09/28\", \"Layla\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I talked to Layla for 27 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the late afternoon on 2012/09/28?\", \"27 minutes\"], [\"who did I talk to on 2012/09/28?\", \"Layla\"], [\"Did I talk to Layla on 2012/09/28?\", \"yes\"], [\"Did I talk to anyone on 2012/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4208\", \"logical_representation\": [\"2012/09/28\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/09/28?\", \"6 minutes\"], [\"what did I read on 2012/09/28?\", \"social media\"], [\"Did I read on 2012/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/30\": {\"exercise\": {\"eid\": \"e4216\", \"logical_representation\": [\"2012/09/30\", \"running\"], \"text_template_based\": \"I did running on 2012/09/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4217\", \"logical_representation\": [\"2012/09/30\", \"breakfast\", \"oatmeal\", \"Emily, Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/09/30\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4218\", \"logical_representation\": [\"2012/09/30\", \"lunch\", \"indian food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had indian food for lunch with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/09/30?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2012/09/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4219\", \"logical_representation\": [\"2012/09/30\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/09/30?\", \"28 minutes\"], [\"what did I read on 2012/09/30?\", \"a book\"], [\"Did I read on 2012/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/01\": {\"lunch\": {\"eid\": \"e4220\", \"logical_representation\": [\"2012/10/01\", \"lunch\", \"indian food\", \"Andrew, Carter\"], \"text_template_based\": \"I had indian food for lunch with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/10/01?\", \"Andrew, Carter\"], [\"what did I eat for lunch on 2012/10/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4221\", \"logical_representation\": [\"2012/10/01\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/10/01?\", \"21 minutes\"], [\"what did I read on 2012/10/01?\", \"social media\"], [\"Did I read on 2012/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/02\": {\"lunch\": {\"eid\": \"e4222\", \"logical_representation\": [\"2012/10/02\", \"lunch\", \"a burger\", \"Claire, Layla, Piper, Avery\"], \"text_template_based\": \"I had a burger for lunch with Claire, Layla, Piper, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/10/02?\", \"Claire, Layla, Piper, Avery\"], [\"what did I eat for lunch on 2012/10/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4223\", \"logical_representation\": [\"2012/10/02\", \"Rylee\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Rylee for 53 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2012/10/02?\", \"53 minutes\"], [\"who did I talk to on 2012/10/02?\", \"Rylee\"], [\"Did I talk to Rylee on 2012/10/02?\", \"yes\"], [\"Did I talk to anyone on 2012/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/05\": {\"breakfast\": {\"eid\": \"e4230\", \"logical_representation\": [\"2012/10/05\", \"breakfast\", \"oatmeal\", \"Rylee, Nora\"], \"text_template_based\": \"I had breakfast with Rylee, Nora. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/10/05?\", \"Rylee, Nora\"], [\"what did I eat for breakfast on 2012/10/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4231\", \"logical_representation\": [\"2012/10/05\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/10/05?\", \"51 minutes\"], [\"what did I read on 2012/10/05?\", \"news\"], [\"Did I read on 2012/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/06\": {\"exercise\": {\"eid\": \"e4232\", \"logical_representation\": [\"2012/10/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/10/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4233\", \"logical_representation\": [\"2012/10/06\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/10/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4234\", \"logical_representation\": [\"2012/10/06\", \"dinner\", \"chinese food\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/10/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4235\", \"logical_representation\": [\"2012/10/06\", \"Piper, Nora, Nevaeh\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Piper, Nora, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Nevaeh in the early afternoon on 2012/10/06?\", \"34 minutes\"], [\"who did I talk to on 2012/10/06?\", \"Piper, Nora, Nevaeh\"], [\"Did I talk to Piper, Nora, Nevaeh on 2012/10/06?\", \"yes\"], [\"Did I talk to anyone on 2012/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4236\", \"logical_representation\": [\"2012/10/06\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/10/06?\", \"49 minutes\"], [\"what did I read on 2012/10/06?\", \"social media\"], [\"Did I read on 2012/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4237\", \"logical_representation\": [\"2012/10/06\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I watched a tv series for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/06?\", \"40 minutes\"], [\"what did I watch on tv on 2012/10/06?\", \"a tv series\"], [\"Did I watch tv on 2012/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/07\": {\"exercise\": {\"eid\": \"e4238\", \"logical_representation\": [\"2012/10/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/10/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4239\", \"logical_representation\": [\"2012/10/07\", \"Kinsley, Claire, Hazel\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire, Hazel for 44 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Hazel in the early afternoon on 2012/10/07?\", \"44 minutes\"], [\"who did I talk to on 2012/10/07?\", \"Kinsley, Claire, Hazel\"], [\"Did I talk to Kinsley, Claire, Hazel on 2012/10/07?\", \"yes\"], [\"Did I talk to anyone on 2012/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4240\", \"logical_representation\": [\"2012/10/07\", \"Rylee, Olivia\", \"in the late afternoon\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Rylee, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia in the late afternoon on 2012/10/07?\", \"8 minutes\"], [\"who did I talk to on 2012/10/07?\", \"Rylee, Olivia\"], [\"Did I talk to Rylee, Olivia on 2012/10/07?\", \"yes\"], [\"Did I talk to anyone on 2012/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4241\", \"logical_representation\": [\"2012/10/07\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/10/07?\", \"29 minutes\"], [\"what did I read on 2012/10/07?\", \"a book\"], [\"Did I read on 2012/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4242\", \"logical_representation\": [\"2012/10/07\", \"news\", \"15 minutes\"], \"text_template_based\": \"I watched news for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/07?\", \"15 minutes\"], [\"what did I watch on tv on 2012/10/07?\", \"news\"], [\"Did I watch tv on 2012/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/08\": {\"breakfast\": {\"eid\": \"e4243\", \"logical_representation\": [\"2012/10/08\", \"breakfast\", \"cereals\", \"Avery, Benjamin\"], \"text_template_based\": \"I had cereals for breakfast with Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/10/08?\", \"Avery, Benjamin\"], [\"what did I eat for breakfast on 2012/10/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4244\", \"logical_representation\": [\"2012/10/08\", \"lunch\", \"fish and chips\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/10/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4245\", \"logical_representation\": [\"2012/10/08\", \"dinner\", \"sandwich\", \"Piper\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/10/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4246\", \"logical_representation\": [\"2012/10/08\", \"Eva, Olivia, Hazel\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Eva, Olivia, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Hazel in the morning on 2012/10/08?\", \"9 minutes\"], [\"who did I talk to on 2012/10/08?\", \"Eva, Olivia, Hazel\"], [\"Did I talk to Eva, Olivia, Hazel on 2012/10/08?\", \"yes\"], [\"Did I talk to anyone on 2012/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4247\", \"logical_representation\": [\"2012/10/08\", \"Nora, Kinsley, Avery, Claire\", \"in the early evening\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Nora, Kinsley, Avery, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Avery, Claire in the early evening on 2012/10/08?\", \"8 minutes\"], [\"who did I talk to on 2012/10/08?\", \"Nora, Kinsley, Avery, Claire\"], [\"Did I talk to Nora, Kinsley, Avery, Claire on 2012/10/08?\", \"yes\"], [\"Did I talk to anyone on 2012/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4248\", \"logical_representation\": [\"2012/10/08\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I watched a movie for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/08?\", \"45 minutes\"], [\"what did I watch on tv on 2012/10/08?\", \"a movie\"], [\"Did I watch tv on 2012/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/10\": {\"exercise\": {\"eid\": \"e4251\", \"logical_representation\": [\"2012/10/10\", \"biking\"], \"text_template_based\": \"I did biking on 2012/10/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4252\", \"logical_representation\": [\"2012/10/10\", \"breakfast\", \"cereals\", \"Avery\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/10/10\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4253\", \"logical_representation\": [\"2012/10/10\", \"lunch\", \"pasta\", \"Kayden, Carter\"], \"text_template_based\": \"I had pasta for lunch with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/10/10?\", \"Kayden, Carter\"], [\"what did I eat for lunch on 2012/10/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4254\", \"logical_representation\": [\"2012/10/10\", \"dinner\", \"fish and chips\", \"Kinsley, Lydia, Avery, Rylee, Piper, Nora, Hazel, Claire, Olivia, Nevaeh\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/10/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4255\", \"logical_representation\": [\"2012/10/10\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/10/10?\", \"9 minutes\"], [\"what did I read on 2012/10/10?\", \"a book\"], [\"Did I read on 2012/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4256\", \"logical_representation\": [\"2012/10/10\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I watched a tv series for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/10?\", \"50 minutes\"], [\"what did I watch on tv on 2012/10/10?\", \"a tv series\"], [\"Did I watch tv on 2012/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/12\": {\"dinner\": {\"eid\": \"e4261\", \"logical_representation\": [\"2012/10/12\", \"dinner\", \"indian food\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had indian food for dinner with Benjamin, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/10/12?\", \"Benjamin, Jackson, Willow\"], [\"what did I eat for dinner on 2012/10/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4262\", \"logical_representation\": [\"2012/10/12\", \"Claire, Layla, Olivia, Lydia\", \"during lunch hours\", \"19 minutes\"], \"text_template_based\": \"I talked to Claire, Layla, Olivia, Lydia for 19 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Olivia, Lydia during lunch hours on 2012/10/12?\", \"19 minutes\"], [\"who did I talk to on 2012/10/12?\", \"Claire, Layla, Olivia, Lydia\"], [\"Did I talk to Claire, Layla, Olivia, Lydia on 2012/10/12?\", \"yes\"], [\"Did I talk to anyone on 2012/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/13\": {\"exercise\": {\"eid\": \"e4263\", \"logical_representation\": [\"2012/10/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/10/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4264\", \"logical_representation\": [\"2012/10/13\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/10/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4265\", \"logical_representation\": [\"2012/10/13\", \"Piper, Piper\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Piper, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper in the morning on 2012/10/13?\", \"31 minutes\"], [\"who did I talk to on 2012/10/13?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2012/10/13?\", \"yes\"], [\"Did I talk to anyone on 2012/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4266\", \"logical_representation\": [\"2012/10/13\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/10/13?\", \"21 minutes\"], [\"what did I read on 2012/10/13?\", \"news\"], [\"Did I read on 2012/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/14\": {\"exercise\": {\"eid\": \"e4267\", \"logical_representation\": [\"2012/10/14\", \"biking\"], \"text_template_based\": \"I did biking on 2012/10/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4268\", \"logical_representation\": [\"2012/10/14\", \"breakfast\", \"toast and cheese\", \"Claire, Lydia, Olivia, Eva, Nora, Piper, Rylee, Piper, Layla\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/10/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4269\", \"logical_representation\": [\"2012/10/14\", \"lunch\", \"sandwich\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/10/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4270\", \"logical_representation\": [\"2012/10/14\", \"dinner\", \"tacos\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/10/14\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2012/10/17\": {\"exercise\": {\"eid\": \"e4282\", \"logical_representation\": [\"2012/10/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/10/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4283\", \"logical_representation\": [\"2012/10/17\", \"lunch\", \"steak\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/10/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4284\", \"logical_representation\": [\"2012/10/17\", \"Nora, Hazel, Lydia, Piper\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Nora, Hazel, Lydia, Piper for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel, Lydia, Piper in the morning on 2012/10/17?\", \"32 minutes\"], [\"who did I talk to on 2012/10/17?\", \"Nora, Hazel, Lydia, Piper\"], [\"Did I talk to Nora, Hazel, Lydia, Piper on 2012/10/17?\", \"yes\"], [\"Did I talk to anyone on 2012/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4285\", \"logical_representation\": [\"2012/10/17\", \"news\", \"14 minutes\"], \"text_template_based\": \"I watched news for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/17?\", \"14 minutes\"], [\"what did I watch on tv on 2012/10/17?\", \"news\"], [\"Did I watch tv on 2012/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/18\": {\"breakfast\": {\"eid\": \"e4286\", \"logical_representation\": [\"2012/10/18\", \"breakfast\", \"cereals\", \"Hazel, Olivia, Piper, Rylee, Eva\"], \"text_template_based\": \"I had breakfast with Hazel, Olivia, Piper, Rylee, Eva. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/10/18?\", \"Hazel, Olivia, Piper, Rylee, Eva\"], [\"what did I eat for breakfast on 2012/10/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4287\", \"logical_representation\": [\"2012/10/18\", \"dinner\", \"sandwich\", \"Rylee, Piper, Kinsley\"], \"text_template_based\": \"I had sandwich for dinner with Rylee, Piper, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/10/18?\", \"Rylee, Piper, Kinsley\"], [\"what did I eat for dinner on 2012/10/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4288\", \"logical_representation\": [\"2012/10/18\", \"Rylee, Olivia, Nevaeh\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I talked to Rylee, Olivia, Nevaeh for 44 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia, Nevaeh in the morning on 2012/10/18?\", \"44 minutes\"], [\"who did I talk to on 2012/10/18?\", \"Rylee, Olivia, Nevaeh\"], [\"Did I talk to Rylee, Olivia, Nevaeh on 2012/10/18?\", \"yes\"], [\"Did I talk to anyone on 2012/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4289\", \"logical_representation\": [\"2012/10/18\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I watched a tv series for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/18?\", \"35 minutes\"], [\"what did I watch on tv on 2012/10/18?\", \"a tv series\"], [\"Did I watch tv on 2012/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/20\": {\"breakfast\": {\"eid\": \"e4295\", \"logical_representation\": [\"2012/10/20\", \"breakfast\", \"cereals\", \"Eva, Nevaeh, Kinsley, Nora\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/10/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4296\", \"logical_representation\": [\"2012/10/20\", \"dinner\", \"a burger\", \"Nora, Claire, Piper, Layla\"], \"text_template_based\": \"I had a burger for dinner with Nora, Claire, Piper, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/10/20?\", \"Nora, Claire, Piper, Layla\"], [\"what did I eat for dinner on 2012/10/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4297\", \"logical_representation\": [\"2012/10/20\", \"Hazel\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2012/10/20?\", \"17 minutes\"], [\"who did I talk to on 2012/10/20?\", \"Hazel\"], [\"Did I talk to Hazel on 2012/10/20?\", \"yes\"], [\"Did I talk to anyone on 2012/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4298\", \"logical_representation\": [\"2012/10/20\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/20?\", \"11 minutes\"], [\"what did I watch on tv on 2012/10/20?\", \"a tv series\"], [\"Did I watch tv on 2012/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/21\": {\"watch tv\": {\"eid\": \"e4299\", \"logical_representation\": [\"2012/10/21\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/21?\", \"11 minutes\"], [\"what did I watch on tv on 2012/10/21?\", \"a movie\"], [\"Did I watch tv on 2012/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/23\": {\"breakfast\": {\"eid\": \"e4305\", \"logical_representation\": [\"2012/10/23\", \"breakfast\", \"pancakes\", \"Nevaeh, Avery, Hazel\"], \"text_template_based\": \"I had breakfast with Nevaeh, Avery, Hazel. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/10/23?\", \"Nevaeh, Avery, Hazel\"], [\"what did I eat for breakfast on 2012/10/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4306\", \"logical_representation\": [\"2012/10/23\", \"lunch\", \"pasta\", \"Nora, Lydia, Piper, Rylee, Avery, Nevaeh, Claire, Layla, Piper\"], \"text_template_based\": \"I had lunch with Nora, Lydia, Piper, Rylee, Avery, Nevaeh, Claire, Layla, Piper. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/10/23?\", \"Nora, Lydia, Piper, Rylee, Avery, Nevaeh, Claire, Layla, Piper\"], [\"what did I eat for lunch on 2012/10/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4307\", \"logical_representation\": [\"2012/10/23\", \"dinner\", \"pasta\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/10/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4308\", \"logical_representation\": [\"2012/10/23\", \"Lydia\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Lydia for 13 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2012/10/23?\", \"13 minutes\"], [\"who did I talk to on 2012/10/23?\", \"Lydia\"], [\"Did I talk to Lydia on 2012/10/23?\", \"yes\"], [\"Did I talk to anyone on 2012/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4309\", \"logical_representation\": [\"2012/10/23\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/10/23?\", \"32 minutes\"], [\"what did I read on 2012/10/23?\", \"news\"], [\"Did I read on 2012/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4310\", \"logical_representation\": [\"2012/10/23\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/23?\", \"44 minutes\"], [\"what did I watch on tv on 2012/10/23?\", \"a documentary\"], [\"Did I watch tv on 2012/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/25\": {\"chat0\": {\"eid\": \"e4317\", \"logical_representation\": [\"2012/10/25\", \"Lydia, Avery\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Lydia, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery late in the evening on 2012/10/25?\", \"39 minutes\"], [\"who did I talk to on 2012/10/25?\", \"Lydia, Avery\"], [\"Did I talk to Lydia, Avery on 2012/10/25?\", \"yes\"], [\"Did I talk to anyone on 2012/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4318\", \"logical_representation\": [\"2012/10/25\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/10/25?\", \"31 minutes\"], [\"what did I read on 2012/10/25?\", \"news\"], [\"Did I read on 2012/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/27\": {\"exercise\": {\"eid\": \"e4322\", \"logical_representation\": [\"2012/10/27\", \"running\"], \"text_template_based\": \"I did running on 2012/10/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4323\", \"logical_representation\": [\"2012/10/27\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/10/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4324\", \"logical_representation\": [\"2012/10/27\", \"Nora, Piper\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I talked to Nora, Piper for 11 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the morning on 2012/10/27?\", \"11 minutes\"], [\"who did I talk to on 2012/10/27?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2012/10/27?\", \"yes\"], [\"Did I talk to anyone on 2012/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4325\", \"logical_representation\": [\"2012/10/27\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/10/27?\", \"29 minutes\"], [\"what did I read on 2012/10/27?\", \"a book\"], [\"Did I read on 2012/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4326\", \"logical_representation\": [\"2012/10/27\", \"a documentary\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/27?\", \"11 minutes\"], [\"what did I watch on tv on 2012/10/27?\", \"a documentary\"], [\"Did I watch tv on 2012/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/28\": {\"lunch\": {\"eid\": \"e4327\", \"logical_representation\": [\"2012/10/28\", \"lunch\", \"sushi\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/10/28?\", \"Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2012/10/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4328\", \"logical_representation\": [\"2012/10/28\", \"Eva\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Eva for 38 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2012/10/28?\", \"38 minutes\"], [\"who did I talk to on 2012/10/28?\", \"Eva\"], [\"Did I talk to Eva on 2012/10/28?\", \"yes\"], [\"Did I talk to anyone on 2012/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/29\": {\"exercise\": {\"eid\": \"e4329\", \"logical_representation\": [\"2012/10/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/10/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4330\", \"logical_representation\": [\"2012/10/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Kinsley, Lydia, Layla, Rylee, Claire, Nora, Nevaeh, Hazel, Eva, Olivia, Avery\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/10/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4331\", \"logical_representation\": [\"2012/10/29\", \"lunch\", \"tacos\", \"Avery\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/10/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4332\", \"logical_representation\": [\"2012/10/29\", \"Hazel, Claire, Eva, Lydia\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I talked to Hazel, Claire, Eva, Lydia for 7 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Eva, Lydia in the morning on 2012/10/29?\", \"7 minutes\"], [\"who did I talk to on 2012/10/29?\", \"Hazel, Claire, Eva, Lydia\"], [\"Did I talk to Hazel, Claire, Eva, Lydia on 2012/10/29?\", \"yes\"], [\"Did I talk to anyone on 2012/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4333\", \"logical_representation\": [\"2012/10/29\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/10/29?\", \"16 minutes\"], [\"what did I read on 2012/10/29?\", \"social media\"], [\"Did I read on 2012/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4334\", \"logical_representation\": [\"2012/10/29\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/29?\", \"14 minutes\"], [\"what did I watch on tv on 2012/10/29?\", \"news\"], [\"Did I watch tv on 2012/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/30\": {\"exercise\": {\"eid\": \"e4335\", \"logical_representation\": [\"2012/10/30\", \"biking\"], \"text_template_based\": \"I did biking on 2012/10/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4336\", \"logical_representation\": [\"2012/10/30\", \"Claire, Eva, Layla, Kinsley\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Claire, Eva, Layla, Kinsley for 30 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Layla, Kinsley in the early evening on 2012/10/30?\", \"30 minutes\"], [\"who did I talk to on 2012/10/30?\", \"Claire, Eva, Layla, Kinsley\"], [\"Did I talk to Claire, Eva, Layla, Kinsley on 2012/10/30?\", \"yes\"], [\"Did I talk to anyone on 2012/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4337\", \"logical_representation\": [\"2012/10/30\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/10/30?\", \"52 minutes\"], [\"what did I read on 2012/10/30?\", \"social media\"], [\"Did I read on 2012/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/31\": {\"lunch\": {\"eid\": \"e4338\", \"logical_representation\": [\"2012/10/31\", \"lunch\", \"pasta\", \"Eva, Hazel, Rylee\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/10/31\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4339\", \"logical_representation\": [\"2012/10/31\", \"dinner\", \"fish and chips\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had fish and chips for dinner with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/10/31?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2012/10/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4340\", \"logical_representation\": [\"2012/10/31\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/10/31?\", \"46 minutes\"], [\"what did I read on 2012/10/31?\", \"social media\"], [\"Did I read on 2012/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4341\", \"logical_representation\": [\"2012/10/31\", \"a documentary\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/31?\", \"8 minutes\"], [\"what did I watch on tv on 2012/10/31?\", \"a documentary\"], [\"Did I watch tv on 2012/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/01\": {\"exercise\": {\"eid\": \"e4342\", \"logical_representation\": [\"2012/11/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/11/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4343\", \"logical_representation\": [\"2012/11/01\", \"lunch\", \"sushi\", \"Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4344\", \"logical_representation\": [\"2012/11/01\", \"dinner\", \"chinese food\", \"Hazel, Avery, Claire, Eva, Layla, Piper, Nora, Lydia, Olivia, Kinsley, Rylee\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4345\", \"logical_representation\": [\"2012/11/01\", \"Layla, Avery\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Layla, Avery for 27 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery in the early evening on 2012/11/01?\", \"27 minutes\"], [\"who did I talk to on 2012/11/01?\", \"Layla, Avery\"], [\"Did I talk to Layla, Avery on 2012/11/01?\", \"yes\"], [\"Did I talk to anyone on 2012/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/02\": {\"exercise\": {\"eid\": \"e4346\", \"logical_representation\": [\"2012/11/02\", \"biking\"], \"text_template_based\": \"I did biking on 2012/11/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/02?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4347\", \"logical_representation\": [\"2012/11/02\", \"lunch\", \"tacos\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4348\", \"logical_representation\": [\"2012/11/02\", \"dinner\", \"pasta\", \"Nevaeh, Olivia, Piper, Lydia, Rylee, Avery\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4349\", \"logical_representation\": [\"2012/11/02\", \"Eva, Olivia, Layla, Avery\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I talked to Eva, Olivia, Layla, Avery for 33 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Layla, Avery in the morning on 2012/11/02?\", \"33 minutes\"], [\"who did I talk to on 2012/11/02?\", \"Eva, Olivia, Layla, Avery\"], [\"Did I talk to Eva, Olivia, Layla, Avery on 2012/11/02?\", \"yes\"], [\"Did I talk to anyone on 2012/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/03\": {\"exercise\": {\"eid\": \"e4350\", \"logical_representation\": [\"2012/11/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/11/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4351\", \"logical_representation\": [\"2012/11/03\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Nora\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Lydia, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/11/03?\", \"Lydia, Nora\"], [\"what did I eat for breakfast on 2012/11/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4352\", \"logical_representation\": [\"2012/11/03\", \"dinner\", \"pasta\", \"Carter\"], \"text_template_based\": \"I had pasta for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/11/03?\", \"Carter\"], [\"what did I eat for dinner on 2012/11/03\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2012/11/05\": {\"breakfast\": {\"eid\": \"e4357\", \"logical_representation\": [\"2012/11/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Andrew. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/11/05?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for breakfast on 2012/11/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4358\", \"logical_representation\": [\"2012/11/05\", \"lunch\", \"indian food\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Carter, Kayden, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/11/05?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2012/11/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4359\", \"logical_representation\": [\"2012/11/05\", \"dinner\", \"pasta\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4360\", \"logical_representation\": [\"2012/11/05\", \"Kinsley\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Kinsley for 40 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2012/11/05?\", \"40 minutes\"], [\"who did I talk to on 2012/11/05?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2012/11/05?\", \"yes\"], [\"Did I talk to anyone on 2012/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4361\", \"logical_representation\": [\"2012/11/05\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/11/05?\", \"44 minutes\"], [\"what did I read on 2012/11/05?\", \"social media\"], [\"Did I read on 2012/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4362\", \"logical_representation\": [\"2012/11/05\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I watched a documentary for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/05?\", \"36 minutes\"], [\"what did I watch on tv on 2012/11/05?\", \"a documentary\"], [\"Did I watch tv on 2012/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/08\": {\"lunch\": {\"eid\": \"e4372\", \"logical_representation\": [\"2012/11/08\", \"lunch\", \"sushi\", \"Rylee, Nora, Lydia, Kinsley, Eva, Piper, Avery, Layla, Claire, Piper, Nevaeh\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4373\", \"logical_representation\": [\"2012/11/08\", \"dinner\", \"sushi\", \"Nevaeh, Lydia, Eva, Nora, Olivia, Kinsley\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4374\", \"logical_representation\": [\"2012/11/08\", \"Nora, Eva, Piper, Kinsley\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I talked to Nora, Eva, Piper, Kinsley for 43 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Piper, Kinsley during lunch hours on 2012/11/08?\", \"43 minutes\"], [\"who did I talk to on 2012/11/08?\", \"Nora, Eva, Piper, Kinsley\"], [\"Did I talk to Nora, Eva, Piper, Kinsley on 2012/11/08?\", \"yes\"], [\"Did I talk to anyone on 2012/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4375\", \"logical_representation\": [\"2012/11/08\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/11/08?\", \"20 minutes\"], [\"what did I read on 2012/11/08?\", \"news\"], [\"Did I read on 2012/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/09\": {\"exercise\": {\"eid\": \"e4376\", \"logical_representation\": [\"2012/11/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/11/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4377\", \"logical_representation\": [\"2012/11/09\", \"lunch\", \"a burger\", \"Lydia, Eva, Piper, Avery, Piper, Nora, Kinsley, Olivia, Hazel, Rylee, Claire, Nevaeh\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4378\", \"logical_representation\": [\"2012/11/09\", \"dinner\", \"chinese food\", \"Nora, Hazel, Layla, Olivia, Nevaeh, Rylee, Claire, Piper, Kinsley, Lydia, Avery\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4379\", \"logical_representation\": [\"2012/11/09\", \"Layla\", \"in the early evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2012/11/09?\", \"55 minutes\"], [\"who did I talk to on 2012/11/09?\", \"Layla\"], [\"Did I talk to Layla on 2012/11/09?\", \"yes\"], [\"Did I talk to anyone on 2012/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4380\", \"logical_representation\": [\"2012/11/09\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/11/09?\", \"13 minutes\"], [\"what did I read on 2012/11/09?\", \"a book\"], [\"Did I read on 2012/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/11\": {\"lunch\": {\"eid\": \"e4384\", \"logical_representation\": [\"2012/11/11\", \"lunch\", \"chinese food\", \"Piper, Olivia, Lydia, Eva\"], \"text_template_based\": \"I had lunch with Piper, Olivia, Lydia, Eva. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/11/11?\", \"Piper, Olivia, Lydia, Eva\"], [\"what did I eat for lunch on 2012/11/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4385\", \"logical_representation\": [\"2012/11/11\", \"Piper\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper for 27 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2012/11/11?\", \"27 minutes\"], [\"who did I talk to on 2012/11/11?\", \"Piper\"], [\"Did I talk to Piper on 2012/11/11?\", \"yes\"], [\"Did I talk to anyone on 2012/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4386\", \"logical_representation\": [\"2012/11/11\", \"Lydia, Nevaeh, Eva\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Lydia, Nevaeh, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Eva in the late afternoon on 2012/11/11?\", \"55 minutes\"], [\"who did I talk to on 2012/11/11?\", \"Lydia, Nevaeh, Eva\"], [\"Did I talk to Lydia, Nevaeh, Eva on 2012/11/11?\", \"yes\"], [\"Did I talk to anyone on 2012/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4387\", \"logical_representation\": [\"2012/11/11\", \"a documentary\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/11?\", \"55 minutes\"], [\"what did I watch on tv on 2012/11/11?\", \"a documentary\"], [\"Did I watch tv on 2012/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/12\": {\"breakfast\": {\"eid\": \"e4388\", \"logical_representation\": [\"2012/11/12\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/11/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4389\", \"logical_representation\": [\"2012/11/12\", \"lunch\", \"sandwich\", \"Nevaeh, Nora, Piper, Layla, Claire, Hazel, Rylee, Lydia, Olivia, Piper, Avery, Eva, Kinsley\"], \"text_template_based\": \"I had lunch with Nevaeh, Nora, Piper, Layla, Claire, Hazel, Rylee, Lydia, Olivia, Piper, Avery, Eva, Kinsley. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/11/12?\", \"Nevaeh, Nora, Piper, Layla, Claire, Hazel, Rylee, Lydia, Olivia, Piper, Avery, Eva, Kinsley\"], [\"what did I eat for lunch on 2012/11/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4390\", \"logical_representation\": [\"2012/11/12\", \"dinner\", \"indian food\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I had dinner with Jackson, Willow, Benjamin, Avery. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/11/12?\", \"Jackson, Willow, Benjamin, Avery\"], [\"what did I eat for dinner on 2012/11/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4391\", \"logical_representation\": [\"2012/11/12\", \"Claire\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2012/11/12?\", \"49 minutes\"], [\"who did I talk to on 2012/11/12?\", \"Claire\"], [\"Did I talk to Claire on 2012/11/12?\", \"yes\"], [\"Did I talk to anyone on 2012/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4392\", \"logical_representation\": [\"2012/11/12\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/11/12?\", \"35 minutes\"], [\"what did I read on 2012/11/12?\", \"news\"], [\"Did I read on 2012/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4393\", \"logical_representation\": [\"2012/11/12\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/12?\", \"6 minutes\"], [\"what did I watch on tv on 2012/11/12?\", \"a movie\"], [\"Did I watch tv on 2012/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/14\": {\"lunch\": {\"eid\": \"e4398\", \"logical_representation\": [\"2012/11/14\", \"lunch\", \"sushi\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4399\", \"logical_representation\": [\"2012/11/14\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/11/14?\", \"30 minutes\"], [\"what did I read on 2012/11/14?\", \"a book\"], [\"Did I read on 2012/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/15\": {\"breakfast\": {\"eid\": \"e4400\", \"logical_representation\": [\"2012/11/15\", \"breakfast\", \"toast and cheese\", \"Rylee\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/11/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4401\", \"logical_representation\": [\"2012/11/15\", \"lunch\", \"indian food\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4402\", \"logical_representation\": [\"2012/11/15\", \"Layla, Nevaeh, Hazel, Avery\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Layla, Nevaeh, Hazel, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Hazel, Avery during lunch hours on 2012/11/15?\", \"11 minutes\"], [\"who did I talk to on 2012/11/15?\", \"Layla, Nevaeh, Hazel, Avery\"], [\"Did I talk to Layla, Nevaeh, Hazel, Avery on 2012/11/15?\", \"yes\"], [\"Did I talk to anyone on 2012/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/16\": {\"exercise\": {\"eid\": \"e4403\", \"logical_representation\": [\"2012/11/16\", \"running\"], \"text_template_based\": \"I did running on 2012/11/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4404\", \"logical_representation\": [\"2012/11/16\", \"breakfast\", \"oatmeal\", \"Piper, Claire\"], \"text_template_based\": \"I had oatmeal for breakfast with Piper, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/11/16?\", \"Piper, Claire\"], [\"what did I eat for breakfast on 2012/11/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2012/11/17\": {\"lunch\": {\"eid\": \"e4405\", \"logical_representation\": [\"2012/11/17\", \"lunch\", \"a burger\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4406\", \"logical_representation\": [\"2012/11/17\", \"Avery, Layla, Piper, Hazel\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Avery, Layla, Piper, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Piper, Hazel in the early evening on 2012/11/17?\", \"40 minutes\"], [\"who did I talk to on 2012/11/17?\", \"Avery, Layla, Piper, Hazel\"], [\"Did I talk to Avery, Layla, Piper, Hazel on 2012/11/17?\", \"yes\"], [\"Did I talk to anyone on 2012/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4407\", \"logical_representation\": [\"2012/11/17\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/11/17?\", \"33 minutes\"], [\"what did I read on 2012/11/17?\", \"social media\"], [\"Did I read on 2012/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/18\": {\"breakfast\": {\"eid\": \"e4408\", \"logical_representation\": [\"2012/11/18\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/11/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4409\", \"logical_representation\": [\"2012/11/18\", \"lunch\", \"steak\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4410\", \"logical_representation\": [\"2012/11/18\", \"dinner\", \"a burger\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4411\", \"logical_representation\": [\"2012/11/18\", \"Piper, Nevaeh\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Piper, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh in the early evening on 2012/11/18?\", \"51 minutes\"], [\"who did I talk to on 2012/11/18?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2012/11/18?\", \"yes\"], [\"Did I talk to anyone on 2012/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/19\": {\"exercise\": {\"eid\": \"e4412\", \"logical_representation\": [\"2012/11/19\", \"biking\"], \"text_template_based\": \"I did biking on 2012/11/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4413\", \"logical_representation\": [\"2012/11/19\", \"breakfast\", \"oatmeal\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/11/19\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4414\", \"logical_representation\": [\"2012/11/19\", \"Claire, Lydia, Olivia\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Claire, Lydia, Olivia for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Olivia late in the evening on 2012/11/19?\", \"37 minutes\"], [\"who did I talk to on 2012/11/19?\", \"Claire, Lydia, Olivia\"], [\"Did I talk to Claire, Lydia, Olivia on 2012/11/19?\", \"yes\"], [\"Did I talk to anyone on 2012/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4415\", \"logical_representation\": [\"2012/11/19\", \"news\", \"27 minutes\"], \"text_template_based\": \"I watched news for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/19?\", \"27 minutes\"], [\"what did I watch on tv on 2012/11/19?\", \"news\"], [\"Did I watch tv on 2012/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/20\": {\"exercise\": {\"eid\": \"e4416\", \"logical_representation\": [\"2012/11/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/11/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4417\", \"logical_representation\": [\"2012/11/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/11/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4418\", \"logical_representation\": [\"2012/11/20\", \"dinner\", \"a burger\", \"Emily, Carter\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4419\", \"logical_representation\": [\"2012/11/20\", \"Rylee, Piper\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper for 11 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper during lunch hours on 2012/11/20?\", \"11 minutes\"], [\"who did I talk to on 2012/11/20?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2012/11/20?\", \"yes\"], [\"Did I talk to anyone on 2012/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4420\", \"logical_representation\": [\"2012/11/20\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/20?\", \"39 minutes\"], [\"what did I watch on tv on 2012/11/20?\", \"a tv series\"], [\"Did I watch tv on 2012/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/21\": {\"breakfast\": {\"eid\": \"e4421\", \"logical_representation\": [\"2012/11/21\", \"breakfast\", \"cereals\", \"Layla, Hazel, Nora, Avery, Nevaeh, Rylee\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/11/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4422\", \"logical_representation\": [\"2012/11/21\", \"lunch\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/11/21?\", \"Andrew\"], [\"what did I eat for lunch on 2012/11/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4423\", \"logical_representation\": [\"2012/11/21\", \"dinner\", \"steak\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4424\", \"logical_representation\": [\"2012/11/21\", \"Piper, Kinsley, Piper, Hazel\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Piper, Hazel for 12 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Piper, Hazel in the early evening on 2012/11/21?\", \"12 minutes\"], [\"who did I talk to on 2012/11/21?\", \"Piper, Kinsley, Piper, Hazel\"], [\"Did I talk to Piper, Kinsley, Piper, Hazel on 2012/11/21?\", \"yes\"], [\"Did I talk to anyone on 2012/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4425\", \"logical_representation\": [\"2012/11/21\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/11/21?\", \"39 minutes\"], [\"what did I read on 2012/11/21?\", \"news\"], [\"Did I read on 2012/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/23\": {\"chat0\": {\"eid\": \"e4431\", \"logical_representation\": [\"2012/11/23\", \"Piper, Olivia, Hazel, Eva\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia, Hazel, Eva for 50 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Hazel, Eva in the late afternoon on 2012/11/23?\", \"50 minutes\"], [\"who did I talk to on 2012/11/23?\", \"Piper, Olivia, Hazel, Eva\"], [\"Did I talk to Piper, Olivia, Hazel, Eva on 2012/11/23?\", \"yes\"], [\"Did I talk to anyone on 2012/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4432\", \"logical_representation\": [\"2012/11/23\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/11/23?\", \"45 minutes\"], [\"what did I read on 2012/11/23?\", \"news\"], [\"Did I read on 2012/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4433\", \"logical_representation\": [\"2012/11/23\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I watched a documentary for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/23?\", \"54 minutes\"], [\"what did I watch on tv on 2012/11/23?\", \"a documentary\"], [\"Did I watch tv on 2012/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/26\": {\"exercise\": {\"eid\": \"e4441\", \"logical_representation\": [\"2012/11/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/11/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4442\", \"logical_representation\": [\"2012/11/26\", \"breakfast\", \"pancakes\", \"Kayden, Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/11/26\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4443\", \"logical_representation\": [\"2012/11/26\", \"lunch\", \"sushi\", \"Andrew, Emily\"], \"text_template_based\": \"I had sushi for lunch with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/11/26?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2012/11/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4444\", \"logical_representation\": [\"2012/11/26\", \"Hazel, Olivia, Layla\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Hazel, Olivia, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia, Layla in the morning on 2012/11/26?\", \"38 minutes\"], [\"who did I talk to on 2012/11/26?\", \"Hazel, Olivia, Layla\"], [\"Did I talk to Hazel, Olivia, Layla on 2012/11/26?\", \"yes\"], [\"Did I talk to anyone on 2012/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/29\": {\"exercise\": {\"eid\": \"e4457\", \"logical_representation\": [\"2012/11/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/11/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4458\", \"logical_representation\": [\"2012/11/29\", \"breakfast\", \"toast and cheese\", \"Carter, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/11/29?\", \"Carter, Emily\"], [\"what did I eat for breakfast on 2012/11/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4459\", \"logical_representation\": [\"2012/11/29\", \"dinner\", \"indian food\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4460\", \"logical_representation\": [\"2012/11/29\", \"Olivia, Eva\", \"in the morning\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Olivia, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva in the morning on 2012/11/29?\", \"25 minutes\"], [\"who did I talk to on 2012/11/29?\", \"Olivia, Eva\"], [\"Did I talk to Olivia, Eva on 2012/11/29?\", \"yes\"], [\"Did I talk to anyone on 2012/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/30\": {\"breakfast\": {\"eid\": \"e4461\", \"logical_representation\": [\"2012/11/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/11/30?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2012/11/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4462\", \"logical_representation\": [\"2012/11/30\", \"lunch\", \"sandwich\", \"Kayden, Emily\"], \"text_template_based\": \"I had sandwich for lunch with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/11/30?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2012/11/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4463\", \"logical_representation\": [\"2012/11/30\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I watched a documentary for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/30?\", \"52 minutes\"], [\"what did I watch on tv on 2012/11/30?\", \"a documentary\"], [\"Did I watch tv on 2012/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/01\": {\"breakfast\": {\"eid\": \"e4464\", \"logical_representation\": [\"2012/12/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Layla, Avery, Rylee, Claire, Eva, Piper, Lydia, Nora, Olivia, Kinsley, Nevaeh\"], \"text_template_based\": \"I had breakfast with Hazel, Layla, Avery, Rylee, Claire, Eva, Piper, Lydia, Nora, Olivia, Kinsley, Nevaeh. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/12/01?\", \"Hazel, Layla, Avery, Rylee, Claire, Eva, Piper, Lydia, Nora, Olivia, Kinsley, Nevaeh\"], [\"what did I eat for breakfast on 2012/12/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4465\", \"logical_representation\": [\"2012/12/01\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/01?\", \"13 minutes\"], [\"what did I watch on tv on 2012/12/01?\", \"a movie\"], [\"Did I watch tv on 2012/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/02\": {\"breakfast\": {\"eid\": \"e4466\", \"logical_representation\": [\"2012/12/02\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/12/02?\", \"Andrew\"], [\"what did I eat for breakfast on 2012/12/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4467\", \"logical_representation\": [\"2012/12/02\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/12/02?\", \"12 minutes\"], [\"what did I read on 2012/12/02?\", \"news\"], [\"Did I read on 2012/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/04\": {\"exercise\": {\"eid\": \"e4473\", \"logical_representation\": [\"2012/12/04\", \"running\"], \"text_template_based\": \"I did running on 2012/12/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/04?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4474\", \"logical_representation\": [\"2012/12/04\", \"Avery, Piper, Nevaeh\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Avery, Piper, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Nevaeh in the early evening on 2012/12/04?\", \"49 minutes\"], [\"who did I talk to on 2012/12/04?\", \"Avery, Piper, Nevaeh\"], [\"Did I talk to Avery, Piper, Nevaeh on 2012/12/04?\", \"yes\"], [\"Did I talk to anyone on 2012/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/05\": {\"breakfast\": {\"eid\": \"e4475\", \"logical_representation\": [\"2012/12/05\", \"breakfast\", \"toast and cheese\", \"Nora, Kinsley, Lydia, Eva, Layla, Rylee, Avery, Olivia, Piper, Piper, Claire, Nevaeh\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4476\", \"logical_representation\": [\"2012/12/05\", \"lunch\", \"indian food\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/12/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4477\", \"logical_representation\": [\"2012/12/05\", \"dinner\", \"steak\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4478\", \"logical_representation\": [\"2012/12/05\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/12/05?\", \"9 minutes\"], [\"what did I read on 2012/12/05?\", \"social media\"], [\"Did I read on 2012/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4479\", \"logical_representation\": [\"2012/12/05\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/05?\", \"39 minutes\"], [\"what did I watch on tv on 2012/12/05?\", \"a movie\"], [\"Did I watch tv on 2012/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/06\": {\"exercise\": {\"eid\": \"e4480\", \"logical_representation\": [\"2012/12/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/12/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4481\", \"logical_representation\": [\"2012/12/06\", \"breakfast\", \"cereals\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/06\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4482\", \"logical_representation\": [\"2012/12/06\", \"lunch\", \"indian food\", \"Claire, Nora, Hazel, Layla, Kinsley, Eva\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/12/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4483\", \"logical_representation\": [\"2012/12/06\", \"dinner\", \"chinese food\", \"Emily, Kayden\"], \"text_template_based\": \"I had chinese food for dinner with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/12/06?\", \"Emily, Kayden\"], [\"what did I eat for dinner on 2012/12/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4484\", \"logical_representation\": [\"2012/12/06\", \"Nora, Eva\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Nora, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva in the morning on 2012/12/06?\", \"46 minutes\"], [\"who did I talk to on 2012/12/06?\", \"Nora, Eva\"], [\"Did I talk to Nora, Eva on 2012/12/06?\", \"yes\"], [\"Did I talk to anyone on 2012/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4485\", \"logical_representation\": [\"2012/12/06\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I watched a tv series for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/06?\", \"12 minutes\"], [\"what did I watch on tv on 2012/12/06?\", \"a tv series\"], [\"Did I watch tv on 2012/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/07\": {\"lunch\": {\"eid\": \"e4486\", \"logical_representation\": [\"2012/12/07\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/12/07\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2012/12/09\": {\"dinner\": {\"eid\": \"e4494\", \"logical_representation\": [\"2012/12/09\", \"dinner\", \"steak\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4495\", \"logical_representation\": [\"2012/12/09\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/09?\", \"35 minutes\"], [\"what did I watch on tv on 2012/12/09?\", \"a documentary\"], [\"Did I watch tv on 2012/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/11\": {\"exercise\": {\"eid\": \"e4501\", \"logical_representation\": [\"2012/12/11\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/12/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/11?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4502\", \"logical_representation\": [\"2012/12/11\", \"lunch\", \"fish and chips\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/12/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4503\", \"logical_representation\": [\"2012/12/11\", \"dinner\", \"tacos\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4504\", \"logical_representation\": [\"2012/12/11\", \"Piper\", \"in the morning\", \"34 minutes\"], \"text_template_based\": \"I talked to Piper for 34 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2012/12/11?\", \"34 minutes\"], [\"who did I talk to on 2012/12/11?\", \"Piper\"], [\"Did I talk to Piper on 2012/12/11?\", \"yes\"], [\"Did I talk to anyone on 2012/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/14\": {\"exercise\": {\"eid\": \"e4515\", \"logical_representation\": [\"2012/12/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/12/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4516\", \"logical_representation\": [\"2012/12/14\", \"lunch\", \"indian food\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/12/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4517\", \"logical_representation\": [\"2012/12/14\", \"dinner\", \"sushi\", \"Willow, Jackson\"], \"text_template_based\": \"I had sushi for dinner with Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/12/14?\", \"Willow, Jackson\"], [\"what did I eat for dinner on 2012/12/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4518\", \"logical_representation\": [\"2012/12/14\", \"Piper, Lydia\", \"in the morning\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Piper, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia in the morning on 2012/12/14?\", \"50 minutes\"], [\"who did I talk to on 2012/12/14?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2012/12/14?\", \"yes\"], [\"Did I talk to anyone on 2012/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4519\", \"logical_representation\": [\"2012/12/14\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/12/14?\", \"13 minutes\"], [\"what did I read on 2012/12/14?\", \"social media\"], [\"Did I read on 2012/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4520\", \"logical_representation\": [\"2012/12/14\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/14?\", \"54 minutes\"], [\"what did I watch on tv on 2012/12/14?\", \"news\"], [\"Did I watch tv on 2012/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/15\": {\"exercise\": {\"eid\": \"e4521\", \"logical_representation\": [\"2012/12/15\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/12/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/15?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4522\", \"logical_representation\": [\"2012/12/15\", \"lunch\", \"fish and chips\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had fish and chips for lunch with Willow, Benjamin, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/12/15?\", \"Willow, Benjamin, Avery, Jackson\"], [\"what did I eat for lunch on 2012/12/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2012/12/16\": {\"exercise\": {\"eid\": \"e4523\", \"logical_representation\": [\"2012/12/16\", \"biking\"], \"text_template_based\": \"I did biking on 2012/12/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4524\", \"logical_representation\": [\"2012/12/16\", \"dinner\", \"a burger\", \"Rylee, Lydia, Kinsley, Piper, Piper, Avery, Claire, Nora, Olivia, Nevaeh, Eva\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4525\", \"logical_representation\": [\"2012/12/16\", \"Piper, Avery\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Piper, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery in the late afternoon on 2012/12/16?\", \"15 minutes\"], [\"who did I talk to on 2012/12/16?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2012/12/16?\", \"yes\"], [\"Did I talk to anyone on 2012/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/18\": {\"exercise\": {\"eid\": \"e4530\", \"logical_representation\": [\"2012/12/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/12/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4531\", \"logical_representation\": [\"2012/12/18\", \"lunch\", \"tacos\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/12/18?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2012/12/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4532\", \"logical_representation\": [\"2012/12/18\", \"dinner\", \"pasta\", \"Claire, Nevaeh, Avery, Eva, Piper\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4533\", \"logical_representation\": [\"2012/12/18\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/12/18?\", \"41 minutes\"], [\"what did I read on 2012/12/18?\", \"news\"], [\"Did I read on 2012/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4534\", \"logical_representation\": [\"2012/12/18\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I watched a tv series for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/18?\", \"23 minutes\"], [\"what did I watch on tv on 2012/12/18?\", \"a tv series\"], [\"Did I watch tv on 2012/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/20\": {\"exercise\": {\"eid\": \"e4538\", \"logical_representation\": [\"2012/12/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/12/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4539\", \"logical_representation\": [\"2012/12/20\", \"breakfast\", \"pancakes\", \"Avery, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4540\", \"logical_representation\": [\"2012/12/20\", \"Olivia\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2012/12/20?\", \"12 minutes\"], [\"who did I talk to on 2012/12/20?\", \"Olivia\"], [\"Did I talk to Olivia on 2012/12/20?\", \"yes\"], [\"Did I talk to anyone on 2012/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4541\", \"logical_representation\": [\"2012/12/20\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/12/20?\", \"34 minutes\"], [\"what did I read on 2012/12/20?\", \"a book\"], [\"Did I read on 2012/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4542\", \"logical_representation\": [\"2012/12/20\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I watched a movie for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/20?\", \"18 minutes\"], [\"what did I watch on tv on 2012/12/20?\", \"a movie\"], [\"Did I watch tv on 2012/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/22\": {\"exercise\": {\"eid\": \"e4546\", \"logical_representation\": [\"2012/12/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/12/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4547\", \"logical_representation\": [\"2012/12/22\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4548\", \"logical_representation\": [\"2012/12/22\", \"lunch\", \"sandwich\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/12/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4549\", \"logical_representation\": [\"2012/12/22\", \"dinner\", \"fish and chips\", \"Kinsley, Avery, Nora, Rylee, Piper, Layla, Nevaeh, Olivia, Lydia, Piper, Eva\"], \"text_template_based\": \"I had dinner with Kinsley, Avery, Nora, Rylee, Piper, Layla, Nevaeh, Olivia, Lydia, Piper, Eva. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/12/22?\", \"Kinsley, Avery, Nora, Rylee, Piper, Layla, Nevaeh, Olivia, Lydia, Piper, Eva\"], [\"what did I eat for dinner on 2012/12/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4550\", \"logical_representation\": [\"2012/12/22\", \"Avery, Layla, Claire\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Avery, Layla, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Claire late in the evening on 2012/12/22?\", \"12 minutes\"], [\"who did I talk to on 2012/12/22?\", \"Avery, Layla, Claire\"], [\"Did I talk to Avery, Layla, Claire on 2012/12/22?\", \"yes\"], [\"Did I talk to anyone on 2012/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4551\", \"logical_representation\": [\"2012/12/22\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/22?\", \"32 minutes\"], [\"what did I watch on tv on 2012/12/22?\", \"a tv series\"], [\"Did I watch tv on 2012/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/23\": {\"exercise\": {\"eid\": \"e4552\", \"logical_representation\": [\"2012/12/23\", \"running\"], \"text_template_based\": \"I did running on 2012/12/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4553\", \"logical_representation\": [\"2012/12/23\", \"dinner\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/12/23?\", \"Andrew\"], [\"what did I eat for dinner on 2012/12/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4554\", \"logical_representation\": [\"2012/12/23\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/12/23?\", \"19 minutes\"], [\"what did I read on 2012/12/23?\", \"a book\"], [\"Did I read on 2012/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4555\", \"logical_representation\": [\"2012/12/23\", \"news\", \"48 minutes\"], \"text_template_based\": \"I watched news for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/23?\", \"48 minutes\"], [\"what did I watch on tv on 2012/12/23?\", \"news\"], [\"Did I watch tv on 2012/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/24\": {\"exercise\": {\"eid\": \"e4556\", \"logical_representation\": [\"2012/12/24\", \"biking\"], \"text_template_based\": \"I did biking on 2012/12/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4557\", \"logical_representation\": [\"2012/12/24\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4558\", \"logical_representation\": [\"2012/12/24\", \"lunch\", \"tacos\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/12/24?\", \"Carter, Kayden\"], [\"what did I eat for lunch on 2012/12/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4559\", \"logical_representation\": [\"2012/12/24\", \"dinner\", \"steak\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Carter, Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/12/24?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2012/12/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4560\", \"logical_representation\": [\"2012/12/24\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/24?\", \"5 minutes\"], [\"what did I watch on tv on 2012/12/24?\", \"news\"], [\"Did I watch tv on 2012/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/25\": {\"lunch\": {\"eid\": \"e4561\", \"logical_representation\": [\"2012/12/25\", \"lunch\", \"fish and chips\", \"Claire, Layla, Nevaeh, Rylee, Olivia\"], \"text_template_based\": \"I had fish and chips for lunch with Claire, Layla, Nevaeh, Rylee, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/12/25?\", \"Claire, Layla, Nevaeh, Rylee, Olivia\"], [\"what did I eat for lunch on 2012/12/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4562\", \"logical_representation\": [\"2012/12/25\", \"dinner\", \"indian food\", \"Eva, Claire, Avery, Hazel, Piper, Piper, Olivia, Nevaeh\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4563\", \"logical_representation\": [\"2012/12/25\", \"Piper, Hazel, Claire, Lydia\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Piper, Hazel, Claire, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Claire, Lydia in the late afternoon on 2012/12/25?\", \"20 minutes\"], [\"who did I talk to on 2012/12/25?\", \"Piper, Hazel, Claire, Lydia\"], [\"Did I talk to Piper, Hazel, Claire, Lydia on 2012/12/25?\", \"yes\"], [\"Did I talk to anyone on 2012/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/26\": {\"breakfast\": {\"eid\": \"e4564\", \"logical_representation\": [\"2012/12/26\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4565\", \"logical_representation\": [\"2012/12/26\", \"lunch\", \"steak\", \"Avery, Piper, Rylee, Nevaeh, Lydia\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/12/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4566\", \"logical_representation\": [\"2012/12/26\", \"dinner\", \"sandwich\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4567\", \"logical_representation\": [\"2012/12/26\", \"a tv series\", \"25 minutes\"], \"text_template_based\": \"I watched a tv series for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/26?\", \"25 minutes\"], [\"what did I watch on tv on 2012/12/26?\", \"a tv series\"], [\"Did I watch tv on 2012/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/27\": {\"breakfast\": {\"eid\": \"e4568\", \"logical_representation\": [\"2012/12/27\", \"breakfast\", \"peanut-butter-jam\", \"Olivia, Nora\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4569\", \"logical_representation\": [\"2012/12/27\", \"Rylee, Eva, Piper, Nora\", \"in the morning\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Rylee, Eva, Piper, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Piper, Nora in the morning on 2012/12/27?\", \"10 minutes\"], [\"who did I talk to on 2012/12/27?\", \"Rylee, Eva, Piper, Nora\"], [\"Did I talk to Rylee, Eva, Piper, Nora on 2012/12/27?\", \"yes\"], [\"Did I talk to anyone on 2012/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4570\", \"logical_representation\": [\"2012/12/27\", \"Lydia, Claire, Piper, Hazel\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Lydia, Claire, Piper, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Piper, Hazel late in the evening on 2012/12/27?\", \"29 minutes\"], [\"who did I talk to on 2012/12/27?\", \"Lydia, Claire, Piper, Hazel\"], [\"Did I talk to Lydia, Claire, Piper, Hazel on 2012/12/27?\", \"yes\"], [\"Did I talk to anyone on 2012/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4571\", \"logical_representation\": [\"2012/12/27\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/12/27?\", \"44 minutes\"], [\"what did I read on 2012/12/27?\", \"social media\"], [\"Did I read on 2012/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/28\": {\"exercise\": {\"eid\": \"e4572\", \"logical_representation\": [\"2012/12/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/12/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4573\", \"logical_representation\": [\"2012/12/28\", \"lunch\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/12/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4574\", \"logical_representation\": [\"2012/12/28\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/12/28?\", \"14 minutes\"], [\"what did I read on 2012/12/28?\", \"a book\"], [\"Did I read on 2012/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/29\": {\"dinner\": {\"eid\": \"e4575\", \"logical_representation\": [\"2012/12/29\", \"dinner\", \"chinese food\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/12/29?\", \"Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2012/12/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4576\", \"logical_representation\": [\"2012/12/29\", \"Olivia, Avery, Rylee\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I talked to Olivia, Avery, Rylee for 44 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Rylee during lunch hours on 2012/12/29?\", \"44 minutes\"], [\"who did I talk to on 2012/12/29?\", \"Olivia, Avery, Rylee\"], [\"Did I talk to Olivia, Avery, Rylee on 2012/12/29?\", \"yes\"], [\"Did I talk to anyone on 2012/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/30\": {\"exercise\": {\"eid\": \"e4577\", \"logical_representation\": [\"2012/12/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/12/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4578\", \"logical_representation\": [\"2012/12/30\", \"dinner\", \"a burger\", \"Hazel, Avery, Lydia\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4579\", \"logical_representation\": [\"2012/12/30\", \"Nevaeh, Lydia, Claire, Piper\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia, Claire, Piper for 47 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Claire, Piper in the morning on 2012/12/30?\", \"47 minutes\"], [\"who did I talk to on 2012/12/30?\", \"Nevaeh, Lydia, Claire, Piper\"], [\"Did I talk to Nevaeh, Lydia, Claire, Piper on 2012/12/30?\", \"yes\"], [\"Did I talk to anyone on 2012/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/31\": {\"exercise\": {\"eid\": \"e4580\", \"logical_representation\": [\"2012/12/31\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/12/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/31?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4581\", \"logical_representation\": [\"2012/12/31\", \"breakfast\", \"toast and cheese\", \"Rylee, Hazel, Nora\"], \"text_template_based\": \"I had toast and cheese for breakfast with Rylee, Hazel, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/12/31?\", \"Rylee, Hazel, Nora\"], [\"what did I eat for breakfast on 2012/12/31\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4582\", \"logical_representation\": [\"2012/12/31\", \"a movie\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/31?\", \"30 minutes\"], [\"what did I watch on tv on 2012/12/31?\", \"a movie\"], [\"Did I watch tv on 2012/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/20\": {\"travel\": {\"eid\": \"e4583\", \"logical_representation\": [\"2013/01/20\", \"2013/01/27\", [\"Carter\", \"Andrew\"], \"Bangkok, Thailand\"], \"text_template_based\": \"On 2013/01/20 Carter, Andrew and I went to Bangkok, Thailand together for 7 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Bangkok, Thailand on 2013/01/20?\", \"Carter, Andrew\"], [\"who did I go with to Bangkok, Thailand?\", \"Carter, Andrew\"], [\"where did I go on 2013/01/20?\", \"Bangkok, Thailand\"], [\"when did I go to Bangkok, Thailand?\", \"2013/01/20\"], [\"when did I go to Bangkok, Thailand with Carter, Andrew ?\", \"2013/01/20\"], [\"How long did I stay in Bangkok, Thailand?\", \"7\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4770\", \"logical_representation\": [\"2013/01/20\", \"lunch\", \"sushi\", \"Kinsley, Piper, Lydia, Layla, Hazel\"], \"text_template_based\": \"I had sushi for lunch with Kinsley, Piper, Lydia, Layla, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/01/20?\", \"Kinsley, Piper, Lydia, Layla, Hazel\"], [\"what did I eat for lunch on 2013/01/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4771\", \"logical_representation\": [\"2013/01/20\", \"dinner\", \"steak\", \"Avery\"], \"text_template_based\": \"I had steak for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/01/20?\", \"Avery\"], [\"what did I eat for dinner on 2013/01/20\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2013/01/21\": {\"places_visited\": {\"eid\": \"e4584\", \"logical_representation\": [\"2013/01/21\", [\"Carter\", \"Andrew\"], \"Grand Palace\", \"recorded some videos\", \"special\"], \"text_template_based\": \"During my trip to Bangkok, Thailand, I visited Grand Palace on 2013/01 with Carter, Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Bangkok, Thailand on 2013/01\", \"Grand Palace\"], [\"when did I visit Grand Palace during my trip to Bangkok, Thailand\", \"2013/01/21\"], [\"when did I visit Grand Palace \", \"2013/01/21\"], [\"who went with me to visit Grand Palace ?\", \"Carter, Andrew\"], [\"who went with me to visit Grand Palace during my trip to Bangkok, Thailand on 2013/01?\", \"Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e4589\", \"logical_representation\": [\"2013/01/21\", [\"Carter\", \"Andrew\"], \"Chinese food\", \"Victory Monument\"], \"text_template_based\": \"I ate Chinese food at Victory Monument with Carter, Andrew on  2013/01/21 when I was in Bangkok, Thailand.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Victory Monument ?\", \"Carter, Andrew\"], [\"who did I eat Chinese food with?\", \"Carter, Andrew\"], [\"where did we eat Chinese food during our trip to Bangkok, Thailand on  2013/01/21?\", \"Victory Monument\"], [\"when did we eat Chinese food at Victory Monument during our trip to Bangkok, Thailand?\", \"2013/01/21\"], [\"when did we eat at Victory Monument?\", \"2013/01/21\"], [\"when did we eat Chinese food?\", \"2013/01/21\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4772\", \"logical_representation\": [\"2013/01/21\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/01/21?\", \"54 minutes\"], [\"what did I read on 2013/01/21?\", \"a book\"], [\"Did I read on 2013/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/22\": {\"places_visited\": {\"eid\": \"e4585\", \"logical_representation\": [\"2013/01/22\", [\"Carter\", \"Andrew\"], \"Wat Arun\", \"took a group photo\", \"special\"], \"text_template_based\": \"During my trip to Bangkok, Thailand, I visited Wat Arun on 2013/01 with Carter, Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Bangkok, Thailand on 2013/01\", \"Wat Arun\"], [\"when did I visit Wat Arun during my trip to Bangkok, Thailand\", \"2013/01/22\"], [\"when did I visit Wat Arun \", \"2013/01/22\"], [\"who went with me to visit Wat Arun ?\", \"Carter, Andrew\"], [\"who went with me to visit Wat Arun during my trip to Bangkok, Thailand on 2013/01?\", \"Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e4590\", \"logical_representation\": [\"2013/01/22\", [\"Carter\", \"Andrew\"], \"Italian food\", \"Victory Monument\"], \"text_template_based\": \"I ate Italian food at Victory Monument with Carter, Andrew on  2013/01/22 when I was in Bangkok, Thailand.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Victory Monument ?\", \"Carter, Andrew\"], [\"who did I eat Italian food with?\", \"Carter, Andrew\"], [\"where did we eat Italian food during our trip to Bangkok, Thailand on  2013/01/22?\", \"Victory Monument\"], [\"when did we eat Italian food at Victory Monument during our trip to Bangkok, Thailand?\", \"2013/01/22\"], [\"when did we eat at Victory Monument?\", \"2013/01/22\"], [\"when did we eat Italian food?\", \"2013/01/22\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4773\", \"logical_representation\": [\"2013/01/22\", \"lunch\", \"a burger\", \"Rylee, Olivia, Kinsley, Piper\"], \"text_template_based\": \"I had a burger for lunch with Rylee, Olivia, Kinsley, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/01/22?\", \"Rylee, Olivia, Kinsley, 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[\"Did I talk to anyone on 2013/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/23\": {\"places_visited\": {\"eid\": \"e4586\", \"logical_representation\": [\"2013/01/23\", [\"Carter\", \"Andrew\"], \"National Museum & Wang Na Palace\", \"bought some souvenirs\", \"special\"], \"text_template_based\": \"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2013/01 with Carter, Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Bangkok, Thailand on 2013/01\", \"National Museum & Wang Na Palace\"], [\"when did I visit National Museum & Wang Na Palace during my trip to Bangkok, Thailand\", \"2013/01/23\"], [\"when did I visit National Museum & Wang Na Palace \", \"2013/01/23\"], [\"who went with me to visit National Museum & Wang Na Palace ?\", \"Carter, Andrew\"], [\"who went with me to visit National Museum & Wang Na Palace during my trip to Bangkok, Thailand on 2013/01?\", \"Carter, Andrew\"]], 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\"e4594\", \"logical_representation\": [\"2013/01/27\", [\"Carter\", \"Andrew\"], \"Chinese food\", \"Ratchawat Market\"], \"text_template_based\": \"I ate Chinese food at Ratchawat Market with Carter, Andrew on  2013/01/27 when I was in Bangkok, Thailand.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Ratchawat Market ?\", \"Carter, Andrew\"], [\"who did I eat Chinese food with?\", \"Carter, Andrew\"], [\"where did we eat Chinese food during our trip to Bangkok, Thailand on  2013/01/27?\", \"Ratchawat Market\"], [\"when did we eat Chinese food at Ratchawat Market during our trip to Bangkok, Thailand?\", \"2013/01/27\"], [\"when did we eat at Ratchawat Market?\", \"2013/01/27\"], [\"when did we eat Chinese food?\", \"2013/01/27\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e4605\", \"logical_representation\": [\"2013/01/27\", \"Chris\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Chris on 2013/01/27 at a 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I bought some blackberries, pineapple juice, coffee, tea, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/11/25?\", \"blackberries, pineapple juice, coffee, tea, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2013/11/25?\", \"blackberries\"], [\"what drinks did I buy from the grocery store on 2013/11/25?\", \"pineapple juice, coffee, tea\"], [\"what toiletries did I buy from the grocery store on 2013/11/25?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5899\", \"logical_representation\": [\"2013/11/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/11/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5900\", \"logical_representation\": [\"2013/11/25\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/11/25\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2013/12/27\": {\"personal_medical_care\": {\"eid\": \"e4596\", \"logical_representation\": [\"2013/12/27\", \"I went for an annual dental cleaning and checkup on 2013/12/27 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I went for an annual dental cleaning and checkup on 2013/12/27 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual dental cleaning and checkup in 2013?\", \"2013/12/27\"], [\"where did I go for an annual dental cleaning and checkup on 2013/12/27\", \"private clinic\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6028\", \"logical_representation\": [\"2013/12/27\", \"breakfast\", \"pancakes\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/12/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6029\", \"logical_representation\": [\"2013/12/27\", \"lunch\", \"sushi\", \"Rylee, Nevaeh, Piper, Nora, Hazel, Piper, Eva\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/12/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6030\", \"logical_representation\": [\"2013/12/27\", \"news\", \"37 minutes\"], \"text_template_based\": \"I watched news for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/27?\", \"37 minutes\"], [\"what did I watch on tv on 2013/12/27?\", \"news\"], [\"Did I watch tv on 2013/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/26\": {\"personal_medical_care\": {\"eid\": \"e4597\", \"logical_representation\": [\"2013/06/26\", \"I went for an annual vision checkup on 2013/06/26 at the hospital.\", \"hospital\"], \"text_template_based\": \"I went for an annual vision checkup on 2013/06/26 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual vision checkup in 2013?\", \"2013/06/26\"], [\"where did I go for an annual vision checkup on 2013/06/26\", \"hospital\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5363\", \"logical_representation\": [\"2013/06/26\", \"running\"], \"text_template_based\": \"I did running on 2013/06/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5364\", \"logical_representation\": [\"2013/06/26\", \"lunch\", \"tacos\", \"Carter\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/06/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5365\", \"logical_representation\": [\"2013/06/26\", \"dinner\", \"sandwich\", \"Avery\"], \"text_template_based\": \"I had sandwich for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/06/26?\", \"Avery\"], [\"what did I eat for dinner on 2013/06/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5366\", \"logical_representation\": [\"2013/06/26\", \"Rylee\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I talked to Rylee for 31 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2013/06/26?\", \"31 minutes\"], [\"who did I talk to on 2013/06/26?\", \"Rylee\"], [\"Did I talk to Rylee on 2013/06/26?\", \"yes\"], [\"Did I talk to anyone on 2013/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/19\": {\"parent_medical_care\": {\"eid\": \"e4598\", \"logical_representation\": [\"2013/09/19\", \"I took my parents for their for an annual physical checkup on 2013/09/19 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I took my parents for their for an annual physical checkup on 2013/09/19 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2013?\", \"2013/09/19\"], [\"what did I do on 2013/09/19\", \"I took my parents for their for an annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5671\", \"logical_representation\": [\"2013/09/19\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/09/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/19?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5672\", \"logical_representation\": [\"2013/09/19\", \"lunch\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5673\", \"logical_representation\": [\"2013/09/19\", \"dinner\", \"sandwich\", \"Claire, Nora, Piper, Piper, Nevaeh, Hazel, Olivia\"], \"text_template_based\": \"I had sandwich for dinner with Claire, Nora, Piper, Piper, Nevaeh, Hazel, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/09/19?\", \"Claire, Nora, Piper, Piper, Nevaeh, Hazel, Olivia\"], [\"what did I eat for dinner on 2013/09/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5674\", \"logical_representation\": [\"2013/09/19\", \"Layla, Claire\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Layla, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire in the early afternoon on 2013/09/19?\", \"49 minutes\"], [\"who did I talk to on 2013/09/19?\", \"Layla, Claire\"], [\"Did I talk to Layla, Claire on 2013/09/19?\", \"yes\"], [\"Did I talk to anyone on 2013/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5675\", \"logical_representation\": [\"2013/09/19\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/19?\", \"17 minutes\"], [\"what did I watch on tv on 2013/09/19?\", \"a documentary\"], [\"Did I watch tv on 2013/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/17\": {\"parent_medical_care\": {\"eid\": \"e4599\", \"logical_representation\": [\"2013/05/17\", \"my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2013/05/17.\", \"hospital\"], \"text_template_based\": \"my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2013/05/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2013?\", \"2013/05/17\"], [\"what did I do on 2013/05/17\", \"I took my parents for their for an  annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5217\", \"logical_representation\": [\"2013/05/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/05/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5218\", \"logical_representation\": [\"2013/05/17\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/05/17?\", \"Kayden, Carter, Emily\"], [\"what did I eat for breakfast on 2013/05/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5219\", \"logical_representation\": [\"2013/05/17\", \"dinner\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/05/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5220\", \"logical_representation\": [\"2013/05/17\", \"Lydia\", \"during lunch hours\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia during lunch hours on 2013/05/17?\", \"5 minutes\"], [\"who did I talk to on 2013/05/17?\", \"Lydia\"], [\"Did I talk to Lydia on 2013/05/17?\", \"yes\"], [\"Did I talk to anyone on 2013/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5221\", \"logical_representation\": [\"2013/05/17\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I watched a documentary for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/17?\", \"43 minutes\"], [\"what did I watch on tv on 2013/05/17?\", \"a documentary\"], [\"Did I watch tv on 2013/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/06\": {\"hobbies\": {\"eid\": \"e4600\", \"logical_representation\": [\"2013/01/06\", \"I really enjoyed working out on 2013/01/06\", \"working out\", \"Benjamin\"], \"text_template_based\": \"I really enjoyed working out on 2013/01/06\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2013/01/06\"], [\"On 2013/01/06, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e4602\", \"logical_representation\": [\"2013/01/06\", \"I went grocery shopping. I bought some blackberries, bananas, apricots, guava juice, coffee, and shaving cream, toothpaste, conditioner\", \"blackberries, bananas, apricots\", \"guava juice, coffee\", \"shaving cream, toothpaste, conditioner\", \"Kayden, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some blackberries, bananas, apricots, guava juice, coffee, and shaving cream, toothpaste, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/01/06?\", \"blackberries, bananas, apricots, guava juice, coffee, and shaving cream, toothpaste, conditioner\"], [\"what fruits did I buy from the grocery store on 2013/01/06?\", \"blackberries, bananas, apricots\"], [\"what drinks did I buy from the grocery store on 2013/01/06?\", \"guava juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2013/01/06?\", \"shaving cream, toothpaste, conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4716\", \"logical_representation\": [\"2013/01/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/01/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4717\", \"logical_representation\": [\"2013/01/06\", \"lunch\", \"indian food\", \"Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/01/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4718\", \"logical_representation\": [\"2013/01/06\", \"dinner\", \"pasta\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/01/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4719\", \"logical_representation\": [\"2013/01/06\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I watched a tv series for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/06?\", \"37 minutes\"], [\"what did I watch on tv on 2013/01/06?\", \"a tv series\"], [\"Did I watch tv on 2013/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/01\": {\"grocery\": {\"eid\": \"e4601\", \"logical_representation\": [\"2013/01/01\", \"I bought some peaches, clementines, tea, milk, orange juice, toothpaste online.\", \"peaches, clementines\", \"tea, milk, orange juice\", \"toothpaste\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I bought some peaches, clementines, tea, milk, orange juice, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/01/01?\", \"peaches, clementines, tea, milk, orange juice, and toothpaste\"], [\"what fruits did I buy online on 2013/01/01?\", \"peaches, clementines\"], [\"what drinks did I buy online on 2013/01/01?\", \"tea, milk, orange juice\"], [\"what toiletries did I buy online on 2013/01/01?\", \"toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4700\", \"logical_representation\": [\"2013/01/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/01/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4701\", \"logical_representation\": [\"2013/01/01\", \"dinner\", \"steak\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/01/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4702\", \"logical_representation\": [\"2013/01/01\", \"Claire\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Claire for 6 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2013/01/01?\", \"6 minutes\"], [\"who did I talk to on 2013/01/01?\", \"Claire\"], [\"Did I talk to Claire on 2013/01/01?\", \"yes\"], [\"Did I talk to anyone on 2013/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4703\", \"logical_representation\": [\"2013/01/01\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/01?\", \"11 minutes\"], [\"what did I watch on tv on 2013/01/01?\", \"news\"], [\"Did I watch tv on 2013/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/08\": {\"hobbies\": {\"eid\": \"e4603\", \"logical_representation\": [\"2013/01/08\", \"I spent time yoga on 2013/01/08 with Carter, Andrew, Emily.\", \"yoga\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I spent time yoga on 2013/01/08 with Carter, Andrew, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Carter, Andrew, Emily?\", \"2013/01/08\"], [\"On 2013/01/08, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2013/01/08?\", \"Carter, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4722\", \"logical_representation\": [\"2013/01/08\", \"biking\"], \"text_template_based\": \"I did biking on 2013/01/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/08?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4723\", \"logical_representation\": [\"2013/01/08\", \"lunch\", \"indian food\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/01/08\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2013/01/13\": {\"hobbies\": {\"eid\": \"e4604\", \"logical_representation\": [\"2013/01/13\", \"I really enjoyed learning a language on 2013/01/13\", \"learning a language\", \"Nora\"], \"text_template_based\": \"I really enjoyed learning a language on 2013/01/13\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2013/01/13\"], [\"On 2013/01/13, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4740\", \"logical_representation\": [\"2013/01/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/01/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4741\", \"logical_representation\": [\"2013/01/13\", \"breakfast\", \"oatmeal\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had oatmeal for breakfast with Benjamin, Willow, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/01/13?\", \"Benjamin, Willow, Jackson, Avery\"], [\"what did I eat for breakfast on 2013/01/13\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4742\", \"logical_representation\": [\"2013/01/13\", \"lunch\", \"pasta\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/01/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4743\", \"logical_representation\": [\"2013/01/13\", \"Avery\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2013/01/13?\", \"28 minutes\"], [\"who did I talk to on 2013/01/13?\", \"Avery\"], [\"Did I talk to Avery on 2013/01/13?\", \"yes\"], [\"Did I talk to anyone on 2013/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4744\", \"logical_representation\": [\"2013/01/13\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/01/13?\", \"15 minutes\"], [\"what did I read on 2013/01/13?\", \"news\"], [\"Did I read on 2013/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/31\": {\"dating\": {\"eid\": \"e4606\", \"logical_representation\": [\"2013/01/31\", \"Lillian\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Lillian on 2013/01/31 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/01/31\", \"Lillian\"], [\"where did I go for the date on 2013/01/31\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4808\", \"logical_representation\": [\"2013/01/31\", \"running\"], \"text_template_based\": \"I did running on 2013/01/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/31?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4809\", \"logical_representation\": [\"2013/01/31\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/01/31\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4810\", \"logical_representation\": [\"2013/01/31\", \"lunch\", \"tacos\", \"Willow, Benjamin\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/01/31\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4811\", \"logical_representation\": [\"2013/01/31\", \"dinner\", \"sandwich\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had sandwich for dinner with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/01/31?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2013/01/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4812\", \"logical_representation\": [\"2013/01/31\", \"Rylee, Nora\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Rylee, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora in the early afternoon on 2013/01/31?\", \"48 minutes\"], [\"who did I talk to on 2013/01/31?\", \"Rylee, Nora\"], [\"Did I talk to Rylee, Nora on 2013/01/31?\", \"yes\"], [\"Did I talk to anyone on 2013/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4813\", \"logical_representation\": [\"2013/01/31\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/01/31?\", \"39 minutes\"], [\"what did I read on 2013/01/31?\", \"a book\"], [\"Did I read on 2013/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4814\", \"logical_representation\": [\"2013/01/31\", \"a documentary\", \"55 minutes\"], \"text_template_based\": \"I watched a documentary for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/31?\", \"55 minutes\"], [\"what did I watch on tv on 2013/01/31?\", \"a documentary\"], [\"Did I watch tv on 2013/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/29\": {\"hobbies\": {\"eid\": \"e4607\", \"logical_representation\": [\"2013/01/29\", \"I spent some time working out on 2013/01/29.\", \"working out\", \"Carter, Kayden\"], \"text_template_based\": \"I spent some time working out on 2013/01/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2013/01/29\"], [\"On 2013/01/29, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4802\", \"logical_representation\": [\"2013/01/29\", \"dinner\", \"steak\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Emily, Andrew, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/01/29?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2013/01/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4803\", \"logical_representation\": [\"2013/01/29\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/29?\", \"22 minutes\"], [\"what did I watch on tv on 2013/01/29?\", \"a documentary\"], [\"Did I watch tv on 2013/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/09\": {\"dating\": {\"eid\": \"e4608\", \"logical_representation\": [\"2013/02/09\", \"Stella\", \"a park\"], \"text_template_based\": \"On 2013/02/09, I took Stella on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/02/09\", \"Stella\"], [\"where did I go for the date on 2013/02/09\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4836\", \"logical_representation\": [\"2013/02/09\", \"breakfast\", \"cereals\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/02/09?\", \"Carter, Andrew, Emily\"], [\"what did I eat for breakfast on 2013/02/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4837\", \"logical_representation\": [\"2013/02/09\", \"Piper\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2013/02/09?\", \"32 minutes\"], [\"who did I talk to on 2013/02/09?\", \"Piper\"], [\"Did I talk to Piper on 2013/02/09?\", \"yes\"], [\"Did I talk to anyone on 2013/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4838\", \"logical_representation\": [\"2013/02/09\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/02/09?\", \"15 minutes\"], [\"what did I read on 2013/02/09?\", \"a book\"], [\"Did I read on 2013/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4839\", \"logical_representation\": [\"2013/02/09\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/09?\", \"7 minutes\"], [\"what did I watch on tv on 2013/02/09?\", \"a tv series\"], [\"Did I watch tv on 2013/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/10\": {\"hobbies\": {\"eid\": \"e4609\", \"logical_representation\": [\"2013/02/10\", \"I really enjoyed learning a language on 2013/02/10\", \"learning a language\", \"Benjamin, Jackson\"], \"text_template_based\": \"I really enjoyed learning a language on 2013/02/10\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2013/02/10\"], [\"On 2013/02/10, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e4610\", \"logical_representation\": [\"2013/02/10\", \"I went grocery shopping. I bought some peaches, strawberries, coffee, guava juice, and shaving cream, mouth wash\", \"peaches, strawberries\", \"coffee, guava juice\", \"shaving cream, mouth wash\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, strawberries, coffee, guava juice, and shaving cream, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/02/10?\", \"peaches, strawberries, coffee, guava juice, and shaving cream, mouth wash\"], [\"what fruits did I buy from the grocery store on 2013/02/10?\", \"peaches, strawberries\"], [\"what drinks did I buy from the grocery store on 2013/02/10?\", \"coffee, guava juice\"], [\"what toiletries did I buy from the grocery store on 2013/02/10?\", \"shaving cream, mouth wash\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4840\", \"logical_representation\": [\"2013/02/10\", \"Piper, Layla\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Piper, Layla for 19 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla in the early afternoon on 2013/02/10?\", \"19 minutes\"], [\"who did I talk to on 2013/02/10?\", \"Piper, Layla\"], [\"Did I talk to Piper, Layla on 2013/02/10?\", \"yes\"], [\"Did I talk to anyone on 2013/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4841\", \"logical_representation\": [\"2013/02/10\", \"a documentary\", \"6 minutes\"], \"text_template_based\": \"I watched a documentary for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/10?\", \"6 minutes\"], [\"what did I watch on tv on 2013/02/10?\", \"a documentary\"], [\"Did I watch tv on 2013/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/12\": {\"dating\": {\"eid\": \"e4611\", \"logical_representation\": [\"2013/02/12\", \"Jameson\", \"a park\"], \"text_template_based\": \"On 2013/02/12, I took Jameson on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/02/12\", \"Jameson\"], [\"where did I go for the date on 2013/02/12\", \"a park\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4847\", \"logical_representation\": [\"2013/02/12\", \"lunch\", \"a burger\", \"Avery, Nora, Kinsley, Hazel, Olivia, Rylee, Piper, Lydia, Claire, Eva, Nevaeh, Layla\"], \"text_template_based\": \"I had a burger for lunch with Avery, Nora, Kinsley, Hazel, Olivia, Rylee, Piper, Lydia, Claire, Eva, Nevaeh, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/02/12?\", \"Avery, Nora, Kinsley, Hazel, Olivia, Rylee, Piper, Lydia, Claire, Eva, Nevaeh, Layla\"], [\"what did I eat for lunch on 2013/02/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4848\", \"logical_representation\": [\"2013/02/12\", \"Piper, Hazel\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Piper, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel late in the evening on 2013/02/12?\", \"37 minutes\"], [\"who did I talk to on 2013/02/12?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2013/02/12?\", \"yes\"], [\"Did I talk to anyone on 2013/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4849\", \"logical_representation\": [\"2013/02/12\", \"Eva, Olivia, Piper, Nora\", \"in the late afternoon\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Eva, Olivia, Piper, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Piper, Nora in the late afternoon on 2013/02/12?\", \"22 minutes\"], [\"who did I talk to on 2013/02/12?\", \"Eva, Olivia, Piper, Nora\"], [\"Did I talk to Eva, Olivia, Piper, Nora on 2013/02/12?\", \"yes\"], [\"Did I talk to anyone on 2013/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4850\", \"logical_representation\": [\"2013/02/12\", \"a documentary\", \"8 minutes\"], \"text_template_based\": \"I watched a documentary for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/12?\", \"8 minutes\"], [\"what did I watch on tv on 2013/02/12?\", \"a documentary\"], [\"Did I watch tv on 2013/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/18\": {\"grocery\": {\"eid\": \"e4612\", \"logical_representation\": [\"2013/02/18\", \"I bought some guava, raspberries, pineapples, watermelons, orange juice, milk, chocolate milk, toothbrush, paper towel, toilet paper, body lotion online.\", \"guava, raspberries, pineapples, watermelons\", \"orange juice, milk, chocolate milk\", \"toothbrush, paper towel, toilet paper, body lotion\", \"Eva, Rylee, Piper, Lydia, Olivia, Layla, Claire, Piper, Nora, Nevaeh, Avery\"], \"text_template_based\": \"I bought some guava, raspberries, pineapples, watermelons, orange juice, milk, chocolate milk, toothbrush, paper towel, toilet paper, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/02/18?\", \"guava, raspberries, pineapples, watermelons, orange juice, milk, chocolate milk, and toothbrush, paper towel, toilet paper, body lotion\"], [\"what fruits did I buy online on 2013/02/18?\", \"guava, raspberries, pineapples, watermelons\"], [\"what drinks did I buy online on 2013/02/18?\", \"orange juice, milk, chocolate milk\"], [\"what toiletries did I buy online on 2013/02/18?\", \"toothbrush, paper towel, toilet paper, body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4869\", \"logical_representation\": [\"2013/02/18\", \"running\"], \"text_template_based\": \"I did running on 2013/02/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/18?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4870\", \"logical_representation\": [\"2013/02/18\", \"breakfast\", \"cereals\", \"Olivia, Piper, Kinsley, Piper\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/02/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4871\", \"logical_representation\": [\"2013/02/18\", \"lunch\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/02/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2013/03/01\": {\"dating\": {\"eid\": \"e4613\", \"logical_representation\": [\"2013/03/01\", \"Henry\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Henry on 2013/03/01 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/03/01\", \"Henry\"], [\"where did I go for the date on 2013/03/01\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4908\", \"logical_representation\": [\"2013/03/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/03/01?\", \"Andrew\"], [\"what did I eat for breakfast on 2013/03/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4909\", \"logical_representation\": [\"2013/03/01\", \"lunch\", \"a burger\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/03/01\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2013/03/07\": {\"dating\": {\"eid\": \"e4614\", \"logical_representation\": [\"2013/03/07\", \"Alon\", \"a coffee Shop\"], \"text_template_based\": \"On 2013/03/07, I took Alon on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/03/07\", \"Alon\"], [\"where did I go for the date on 2013/03/07\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4932\", \"logical_representation\": [\"2013/03/07\", \"lunch\", \"chinese food\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/03/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4933\", \"logical_representation\": [\"2013/03/07\", \"Claire, Avery, Nora\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Claire, Avery, Nora for 5 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Nora late in the evening on 2013/03/07?\", \"5 minutes\"], [\"who did I talk to on 2013/03/07?\", \"Claire, Avery, Nora\"], [\"Did I talk to Claire, Avery, Nora on 2013/03/07?\", \"yes\"], [\"Did I talk to anyone on 2013/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4934\", \"logical_representation\": [\"2013/03/07\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/03/07?\", \"35 minutes\"], [\"what did I read on 2013/03/07?\", \"social media\"], [\"Did I read on 2013/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/17\": {\"dating\": {\"eid\": \"e4615\", \"logical_representation\": [\"2013/03/17\", \"Madelyn\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Madelyn on 2013/03/17 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/03/17\", \"Madelyn\"], [\"where did I go for the date on 2013/03/17\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4968\", \"logical_representation\": [\"2013/03/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/03/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4969\", \"logical_representation\": [\"2013/03/17\", \"lunch\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/03/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4970\", \"logical_representation\": [\"2013/03/17\", \"Kinsley, Piper, Piper, Eva\", \"in the morning\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Kinsley, Piper, Piper, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Piper, Eva in the morning on 2013/03/17?\", \"36 minutes\"], [\"who did I talk to on 2013/03/17?\", \"Kinsley, Piper, Piper, Eva\"], [\"Did I talk to Kinsley, Piper, Piper, Eva on 2013/03/17?\", \"yes\"], [\"Did I talk to anyone on 2013/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4971\", \"logical_representation\": [\"2013/03/17\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/03/17?\", \"14 minutes\"], [\"what did I read on 2013/03/17?\", \"a book\"], [\"Did I read on 2013/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/12\": {\"hobbies\": {\"eid\": \"e4616\", \"logical_representation\": [\"2013/03/12\", \"I really enjoyed working out on 2013/03/12\", \"working out\", \"Avery, Olivia, Eva\"], \"text_template_based\": \"I really enjoyed working out on 2013/03/12\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2013/03/12\"], [\"On 2013/03/12, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4946\", \"logical_representation\": [\"2013/03/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/03/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4947\", \"logical_representation\": [\"2013/03/12\", \"breakfast\", \"pancakes\", \"Kayden\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4948\", \"logical_representation\": [\"2013/03/12\", \"lunch\", \"tacos\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/03/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4949\", \"logical_representation\": [\"2013/03/12\", \"dinner\", \"pasta\", \"Avery, Layla, Hazel, Nevaeh, Piper, Claire, Piper\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4950\", \"logical_representation\": [\"2013/03/12\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I watched a tv series for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/12?\", \"43 minutes\"], [\"what did I watch on tv on 2013/03/12?\", \"a tv series\"], [\"Did I watch tv on 2013/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/14\": {\"grocery\": {\"eid\": \"e4617\", \"logical_representation\": [\"2013/03/14\", \"I bought some clementines, pineapples, cherres, chocolate milk, orange juice, apple juice, sports drinks, toilet paper online.\", \"clementines, pineapples, cherres\", \"chocolate milk, orange juice, apple juice, sports drinks\", \"toilet paper\", \"Carter, Emily\"], \"text_template_based\": \"I bought some clementines, pineapples, cherres, chocolate milk, orange juice, apple juice, sports drinks, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/03/14?\", \"clementines, pineapples, cherres, chocolate milk, orange juice, apple juice, sports drinks, and toilet paper\"], [\"what fruits did I buy online on 2013/03/14?\", \"clementines, pineapples, cherres\"], [\"what drinks did I buy online on 2013/03/14?\", \"chocolate milk, orange juice, apple juice, sports drinks\"], [\"what toiletries did I buy online on 2013/03/14?\", \"toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4957\", \"logical_representation\": [\"2013/03/14\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/03/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/14?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4958\", \"logical_representation\": [\"2013/03/14\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4959\", \"logical_representation\": [\"2013/03/14\", \"lunch\", \"sushi\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/03/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4960\", \"logical_representation\": [\"2013/03/14\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/03/14?\", \"47 minutes\"], [\"what did I read on 2013/03/14?\", \"social media\"], [\"Did I read on 2013/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4961\", \"logical_representation\": [\"2013/03/14\", \"a documentary\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/14?\", \"5 minutes\"], [\"what did I watch on tv on 2013/03/14?\", \"a documentary\"], [\"Did I watch tv on 2013/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/15\": {\"grocery\": {\"eid\": \"e4618\", \"logical_representation\": [\"2013/03/15\", \"I bought some guava, watermelons, apricots, mango juice, chocolate milk, sports drinks, milk, mouthwash, shaving cream, conditioner, shampoo online.\", \"guava, watermelons, apricots\", \"mango juice, chocolate milk, sports drinks, milk\", \"mouthwash, shaving cream, conditioner, shampoo\", \"Carter\"], \"text_template_based\": \"I bought some guava, watermelons, apricots, mango juice, chocolate milk, sports drinks, milk, mouthwash, shaving cream, conditioner, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/03/15?\", \"guava, watermelons, apricots, mango juice, chocolate milk, sports drinks, milk, and mouthwash, shaving cream, conditioner, shampoo\"], [\"what fruits did I buy online on 2013/03/15?\", \"guava, watermelons, apricots\"], [\"what drinks did I buy online on 2013/03/15?\", \"mango juice, chocolate milk, sports drinks, milk\"], [\"what toiletries did I buy online on 2013/03/15?\", \"mouthwash, shaving cream, conditioner, shampoo\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4962\", \"logical_representation\": [\"2013/03/15\", \"lunch\", \"fish and chips\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/03/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4963\", \"logical_representation\": [\"2013/03/15\", \"dinner\", \"chinese food\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/03/15?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2013/03/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4964\", \"logical_representation\": [\"2013/03/15\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/03/15?\", \"37 minutes\"], [\"what did I read on 2013/03/15?\", \"news\"], [\"Did I read on 2013/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/21\": {\"dating\": {\"eid\": \"e4619\", \"logical_representation\": [\"2013/03/21\", \"Joseph\", \"a park\"], \"text_template_based\": \"I went on a date with Joseph on 2013/03/21 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/03/21\", \"Joseph\"], [\"where did I go for the date on 2013/03/21\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e4621\", \"logical_representation\": [\"2013/03/21\", \"I went grocery shopping with Emily, Kayden, Carter, Andrew. I bought some mangos, raspberries, guava, soda, orange juice, and shampoo\", \"mangos, raspberries, guava\", \"soda, orange juice\", \"shampoo\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I went grocery shopping with Emily, Kayden, Carter, Andrew. I bought some mangos, raspberries, guava, soda, orange juice, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/03/21?\", \"mangos, raspberries, guava, soda, orange juice, and shampoo\"], [\"what fruits did I buy from the grocery store on 2013/03/21?\", \"mangos, raspberries, guava\"], [\"what drinks did I buy from the grocery store on 2013/03/21?\", \"soda, orange juice\"], [\"what toiletries did I buy from the grocery store on 2013/03/21?\", \"shampoo\"], [\"who was with me at the grocery store on 2013/03/21?\", \"Emily, Kayden, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4987\", \"logical_representation\": [\"2013/03/21\", \"breakfast\", \"pancakes\", \"Nevaeh, Nora, Piper, Layla, Rylee, Kinsley, Piper\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4988\", \"logical_representation\": [\"2013/03/21\", \"dinner\", \"tacos\", \"Lydia, Piper, Rylee, Kinsley, Olivia, Claire, Nora, Avery, Hazel\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4989\", \"logical_representation\": [\"2013/03/21\", \"Layla, Lydia, Piper, Nora\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Layla, Lydia, Piper, Nora for 41 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Piper, Nora in the late afternoon on 2013/03/21?\", \"41 minutes\"], [\"who did I talk to on 2013/03/21?\", \"Layla, Lydia, Piper, Nora\"], [\"Did I talk to Layla, Lydia, Piper, Nora on 2013/03/21?\", \"yes\"], [\"Did I talk to anyone on 2013/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/24\": {\"hobbies\": {\"eid\": \"e4620\", \"logical_representation\": [\"2013/03/24\", \"I really enjoyed meditation on 2013/03/24\", \"meditation\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I really enjoyed meditation on 2013/03/24\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2013/03/24\"], [\"On 2013/03/24, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e4622\", \"logical_representation\": [\"2013/03/24\", \"I bought some mandarins, tea, toothbrush, mouth wash from the grocery store. I saw Rylee, Lydia, Claire, Layla, Nevaeh, Olivia, Avery, Piper at the grocery store.\", \"mandarins\", \"tea\", \"toothbrush, mouth wash\", \"Rylee, Lydia, Claire, Layla, Nevaeh, Olivia, Avery, Piper\"], \"text_template_based\": \"I bought some mandarins, tea, toothbrush, mouth wash from the grocery store. I saw Rylee, Lydia, Claire, Layla, Nevaeh, Olivia, Avery, Piper at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/03/24?\", \"mandarins, tea, and toothbrush, mouth wash\"], [\"what fruits did I buy from the grocery store on 2013/03/24?\", \"mandarins\"], [\"what drinks did I buy from the grocery store on 2013/03/24?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2013/03/24?\", \"toothbrush, mouth wash\"], [\"who did I see at the grocery store on 2013/03/24?\", \"Rylee, Lydia, Claire, Layla, Nevaeh, Olivia, Avery, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4998\", \"logical_representation\": [\"2013/03/24\", \"biking\"], \"text_template_based\": \"I did biking on 2013/03/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4999\", \"logical_representation\": [\"2013/03/24\", \"breakfast\", \"pancakes\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5000\", \"logical_representation\": [\"2013/03/24\", \"Lydia, Avery, Layla\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Lydia, Avery, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Layla in the early evening on 2013/03/24?\", \"14 minutes\"], [\"who did I talk to on 2013/03/24?\", \"Lydia, Avery, Layla\"], [\"Did I talk to Lydia, Avery, Layla on 2013/03/24?\", \"yes\"], [\"Did I talk to anyone on 2013/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5001\", \"logical_representation\": [\"2013/03/24\", \"Hazel, Rylee, Kinsley\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Hazel, Rylee, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee, Kinsley in the late afternoon on 2013/03/24?\", \"30 minutes\"], [\"who did I talk to on 2013/03/24?\", \"Hazel, Rylee, Kinsley\"], [\"Did I talk to Hazel, Rylee, Kinsley on 2013/03/24?\", \"yes\"], [\"Did I talk to anyone on 2013/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/01\": {\"dating\": {\"eid\": \"e4623\", \"logical_representation\": [\"2013/04/01\", \"Kai\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Kai on 2013/04/01 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/04/01\", \"Kai\"], [\"where did I go for the date on 2013/04/01\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5031\", \"logical_representation\": [\"2013/04/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/04/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5032\", \"logical_representation\": [\"2013/04/01\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Andrew. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/04/01?\", \"Emily, Andrew\"], [\"what did I eat for breakfast on 2013/04/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5033\", \"logical_representation\": [\"2013/04/01\", \"lunch\", \"fish and chips\", \"Avery, Willow\"], \"text_template_based\": \"I had fish and chips for lunch with Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/04/01?\", \"Avery, Willow\"], [\"what did I eat for lunch on 2013/04/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5034\", \"logical_representation\": [\"2013/04/01\", \"Nora\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Nora for 14 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2013/04/01?\", \"14 minutes\"], [\"who did I talk to on 2013/04/01?\", \"Nora\"], [\"Did I talk to Nora on 2013/04/01?\", \"yes\"], [\"Did I talk to anyone on 2013/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5035\", \"logical_representation\": [\"2013/04/01\", \"Nevaeh, Layla, Piper, Rylee\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Layla, Piper, Rylee for 17 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Piper, Rylee in the late afternoon on 2013/04/01?\", \"17 minutes\"], [\"who did I talk to on 2013/04/01?\", \"Nevaeh, Layla, Piper, Rylee\"], [\"Did I talk to Nevaeh, Layla, Piper, Rylee on 2013/04/01?\", \"yes\"], [\"Did I talk to anyone on 2013/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5036\", \"logical_representation\": [\"2013/04/01\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/04/01?\", \"52 minutes\"], [\"what did I read on 2013/04/01?\", \"social media\"], [\"Did I read on 2013/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/31\": {\"hobbies\": {\"eid\": \"e4624\", \"logical_representation\": [\"2013/03/31\", \"I really enjoyed yoga on 2013/03/31\", \"yoga\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I really enjoyed yoga on 2013/03/31\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2013/03/31\"], [\"On 2013/03/31, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5027\", \"logical_representation\": [\"2013/03/31\", \"biking\"], \"text_template_based\": \"I did biking on 2013/03/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/31?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5028\", \"logical_representation\": [\"2013/03/31\", \"lunch\", \"steak\", \"Benjamin\"], \"text_template_based\": \"I had lunch with Benjamin. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/03/31?\", \"Benjamin\"], [\"what did I eat for lunch on 2013/03/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5029\", \"logical_representation\": [\"2013/03/31\", \"Nevaeh\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 49 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2013/03/31?\", \"49 minutes\"], [\"who did I talk to on 2013/03/31?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2013/03/31?\", \"yes\"], [\"Did I talk to anyone on 2013/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5030\", \"logical_representation\": [\"2013/03/31\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/31?\", \"29 minutes\"], [\"what did I watch on tv on 2013/03/31?\", \"news\"], [\"Did I watch tv on 2013/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/30\": {\"grocery\": {\"eid\": \"e4625\", \"logical_representation\": [\"2013/03/30\", \"I went grocery shopping with Emily, Kayden, Carter, Andrew. I bought some watermelons, milk, guava juice, chocolate milk, and shaving cream\", \"watermelons\", \"milk, guava juice, chocolate milk\", \"shaving cream\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I went grocery shopping with Emily, Kayden, Carter, Andrew. I bought some watermelons, milk, guava juice, chocolate milk, and shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/03/30?\", \"watermelons, milk, guava juice, chocolate milk, and shaving cream\"], [\"what fruits did I buy from the grocery store on 2013/03/30?\", \"watermelons\"], [\"what drinks did I buy from the grocery store on 2013/03/30?\", \"milk, guava juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2013/03/30?\", \"shaving cream\"], [\"who was with me at the grocery store on 2013/03/30?\", \"Emily, Kayden, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5022\", \"logical_representation\": [\"2013/03/30\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/03/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/30?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5023\", \"logical_representation\": [\"2013/03/30\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Nora, Eva\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Piper, Nora, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/03/30?\", \"Piper, Nora, Eva\"], [\"what did I eat for breakfast on 2013/03/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5024\", \"logical_representation\": [\"2013/03/30\", \"dinner\", \"indian food\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Kayden, Emily, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/03/30?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for dinner on 2013/03/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5025\", \"logical_representation\": [\"2013/03/30\", \"Claire, Piper\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Claire, Piper for 31 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper in the early afternoon on 2013/03/30?\", \"31 minutes\"], [\"who did I talk to on 2013/03/30?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2013/03/30?\", \"yes\"], [\"Did I talk to anyone on 2013/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5026\", \"logical_representation\": [\"2013/03/30\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/30?\", \"45 minutes\"], [\"what did I watch on tv on 2013/03/30?\", \"news\"], [\"Did I watch tv on 2013/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/07\": {\"dating\": {\"eid\": \"e4626\", \"logical_representation\": [\"2013/04/07\", \"Cooper\", \"a park\"], \"text_template_based\": \"I went on a date with Cooper on 2013/04/07 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/04/07\", \"Cooper\"], [\"where did I go for the date on 2013/04/07\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5049\", \"logical_representation\": [\"2013/04/07\", \"biking\"], \"text_template_based\": \"I did biking on 2013/04/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/07?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2013/04/08\": {\"grocery\": {\"eid\": \"e4627\", \"logical_representation\": [\"2013/04/08\", \"I bought some clementines, peaches, pineapples, guava, apple juice, pineapple juice, tea, conditioner, shampoo, mouthwash online.\", \"clementines, peaches, pineapples, guava\", \"apple juice, pineapple juice, tea\", \"conditioner, shampoo, mouthwash\", \"Avery, Nevaeh, Claire\"], \"text_template_based\": \"I bought some clementines, peaches, pineapples, guava, apple juice, pineapple juice, tea, conditioner, shampoo, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/04/08?\", \"clementines, peaches, pineapples, guava, apple juice, pineapple juice, tea, and conditioner, shampoo, mouthwash\"], [\"what fruits did I buy online on 2013/04/08?\", \"clementines, peaches, pineapples, guava\"], [\"what drinks did I buy online on 2013/04/08?\", \"apple juice, pineapple juice, tea\"], [\"what toiletries did I buy online on 2013/04/08?\", \"conditioner, shampoo, mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5050\", \"logical_representation\": [\"2013/04/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/04/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5051\", \"logical_representation\": [\"2013/04/08\", \"breakfast\", \"pancakes\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had pancakes for breakfast with Jackson, Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/04/08?\", \"Jackson, Benjamin, Avery\"], [\"what did I eat for breakfast on 2013/04/08\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5052\", \"logical_representation\": [\"2013/04/08\", \"lunch\", \"indian food\", \"Kinsley, Olivia, Eva, Layla, Nevaeh, Piper, Rylee, Avery, Lydia, Hazel\"], \"text_template_based\": \"I had indian food for lunch with Kinsley, Olivia, Eva, Layla, Nevaeh, Piper, Rylee, Avery, Lydia, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/04/08?\", \"Kinsley, Olivia, Eva, Layla, Nevaeh, Piper, Rylee, Avery, Lydia, Hazel\"], [\"what did I eat for lunch on 2013/04/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5053\", \"logical_representation\": [\"2013/04/08\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/04/08?\", \"39 minutes\"], [\"what did I read on 2013/04/08?\", \"a book\"], [\"Did I read on 2013/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/10\": {\"grocery\": {\"eid\": \"e4628\", \"logical_representation\": [\"2013/04/10\", \"I went grocery shopping. I bought some blueberries, nectarines, raspberries, pineapple juice, soda, milk, and toilet paper, shampoo\", \"blueberries, nectarines, raspberries\", \"pineapple juice, soda, milk\", \"toilet paper, shampoo\", \"Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some blueberries, nectarines, raspberries, pineapple juice, soda, milk, and toilet paper, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/04/10?\", \"blueberries, nectarines, raspberries, pineapple juice, soda, milk, and toilet paper, shampoo\"], [\"what fruits did I buy from the grocery store on 2013/04/10?\", \"blueberries, nectarines, raspberries\"], [\"what drinks did I buy from the grocery store on 2013/04/10?\", \"pineapple juice, soda, milk\"], [\"what toiletries did I buy from the grocery store on 2013/04/10?\", \"toilet paper, shampoo\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5057\", \"logical_representation\": [\"2013/04/10\", \"dinner\", \"fish and chips\", \"Benjamin\"], \"text_template_based\": \"I had fish and chips for dinner with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/04/10?\", \"Benjamin\"], [\"what did I eat for dinner on 2013/04/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5058\", \"logical_representation\": [\"2013/04/10\", \"Rylee, Kinsley, Layla, Hazel\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Rylee, Kinsley, Layla, Hazel for 29 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Layla, Hazel in the early evening on 2013/04/10?\", \"29 minutes\"], [\"who did I talk to on 2013/04/10?\", \"Rylee, Kinsley, Layla, Hazel\"], [\"Did I talk to Rylee, Kinsley, Layla, Hazel on 2013/04/10?\", \"yes\"], [\"Did I talk to anyone on 2013/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/13\": {\"grocery\": {\"eid\": \"e4629\", \"logical_representation\": [\"2013/04/13\", \"I bought some guava, pineapples, apple juice, toothbrush, paper towel from the grocery store. I saw Avery, Benjamin at the grocery store.\", \"guava, pineapples\", \"apple juice\", \"toothbrush, paper towel\", \"Avery, Benjamin\"], \"text_template_based\": \"I bought some guava, pineapples, apple juice, toothbrush, paper towel from the grocery store. I saw Avery, Benjamin at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/04/13?\", \"guava, pineapples, apple juice, and toothbrush, paper towel\"], [\"what fruits did I buy from the grocery store on 2013/04/13?\", \"guava, pineapples\"], [\"what drinks did I buy from the grocery store on 2013/04/13?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2013/04/13?\", \"toothbrush, paper towel\"], [\"who did I see at the grocery store on 2013/04/13?\", \"Avery, Benjamin\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5068\", \"logical_representation\": [\"2013/04/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/04/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5069\", \"logical_representation\": [\"2013/04/13\", \"lunch\", \"sushi\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/04/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5070\", \"logical_representation\": [\"2013/04/13\", \"Olivia, Hazel, Rylee, Nora\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Olivia, Hazel, Rylee, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Rylee, Nora in the morning on 2013/04/13?\", \"20 minutes\"], [\"who did I talk to on 2013/04/13?\", \"Olivia, Hazel, Rylee, Nora\"], [\"Did I talk to Olivia, Hazel, Rylee, Nora on 2013/04/13?\", \"yes\"], [\"Did I talk to anyone on 2013/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5071\", \"logical_representation\": [\"2013/04/13\", \"news\", \"11 minutes\"], \"text_template_based\": \"I watched news for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/13?\", \"11 minutes\"], [\"what did I watch on tv on 2013/04/13?\", \"news\"], [\"Did I watch tv on 2013/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/22\": {\"dating\": {\"eid\": \"e4630\", \"logical_representation\": [\"2013/04/22\", \"Emily\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Emily on 2013/04/22 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/04/22\", \"Emily\"], [\"where did I go for the date on 2013/04/22\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5103\", \"logical_representation\": [\"2013/04/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/04/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5104\", \"logical_representation\": [\"2013/04/22\", \"lunch\", \"pasta\", \"Olivia, Rylee, Nevaeh, Claire, Hazel, Lydia\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/04/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5105\", \"logical_representation\": [\"2013/04/22\", \"Piper, Lydia, Rylee\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Rylee for 42 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Rylee in the late afternoon on 2013/04/22?\", \"42 minutes\"], [\"who did I talk to on 2013/04/22?\", \"Piper, Lydia, Rylee\"], [\"Did I talk to Piper, Lydia, Rylee on 2013/04/22?\", \"yes\"], [\"Did I talk to anyone on 2013/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5106\", \"logical_representation\": [\"2013/04/22\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/04/22?\", \"47 minutes\"], [\"what did I read on 2013/04/22?\", \"social media\"], [\"Did I read on 2013/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/24\": {\"grocery\": {\"eid\": \"e4631\", \"logical_representation\": [\"2013/04/24\", \"I bought some apples, raspberries, oranges, mandarins, coffee, sports drinks, mouthwash from the grocery store. I saw Andrew, Emily, Kayden at the grocery store.\", \"apples, raspberries, oranges, mandarins\", \"coffee, sports drinks\", \"mouthwash\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I bought some apples, raspberries, oranges, mandarins, coffee, sports drinks, mouthwash from the grocery store. I saw Andrew, Emily, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/04/24?\", \"apples, raspberries, oranges, mandarins, coffee, sports drinks, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2013/04/24?\", \"apples, raspberries, oranges, mandarins\"], [\"what drinks did I buy from the grocery store on 2013/04/24?\", \"coffee, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2013/04/24?\", \"mouthwash\"], [\"who did I see at the grocery store on 2013/04/24?\", \"Andrew, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5111\", \"logical_representation\": [\"2013/04/24\", \"lunch\", \"chinese food\", \"Claire, Kinsley, Nevaeh, Nora, Rylee, Eva, Piper, Avery, Piper\"], \"text_template_based\": \"I had chinese food for lunch with Claire, Kinsley, Nevaeh, Nora, Rylee, Eva, Piper, Avery, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/04/24?\", \"Claire, Kinsley, Nevaeh, Nora, Rylee, Eva, Piper, Avery, Piper\"], [\"what did I eat for lunch on 2013/04/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5112\", \"logical_representation\": [\"2013/04/24\", \"Nora\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2013/04/24?\", \"29 minutes\"], [\"who did I talk to on 2013/04/24?\", \"Nora\"], [\"Did I talk to Nora on 2013/04/24?\", \"yes\"], [\"Did I talk to anyone on 2013/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5113\", \"logical_representation\": [\"2013/04/24\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I watched a movie for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/24?\", \"6 minutes\"], [\"what did I watch on tv on 2013/04/24?\", \"a movie\"], [\"Did I watch tv on 2013/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/28\": {\"grocery\": {\"eid\": \"e4632\", \"logical_representation\": [\"2013/04/28\", \"I went grocery shopping. I bought some guava, apples, pineapples, raspberries, milk, soda, pineapple juice, and toothpaste, body lotion\", \"guava, apples, pineapples, raspberries\", \"milk, soda, pineapple juice\", \"toothpaste, body lotion\", \"Eva, Claire, Nora, Nevaeh\"], \"text_template_based\": \"I went grocery shopping. I bought some guava, apples, pineapples, raspberries, milk, soda, pineapple juice, and toothpaste, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/04/28?\", \"guava, apples, pineapples, raspberries, milk, soda, pineapple juice, and toothpaste, body lotion\"], [\"what fruits did I buy from the grocery store on 2013/04/28?\", \"guava, apples, pineapples, raspberries\"], [\"what drinks did I buy from the grocery store on 2013/04/28?\", \"milk, soda, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2013/04/28?\", \"toothpaste, body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5132\", \"logical_representation\": [\"2013/04/28\", \"biking\"], \"text_template_based\": \"I did biking on 2013/04/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5133\", \"logical_representation\": [\"2013/04/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Piper, Layla\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Avery, Piper, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/04/28?\", \"Avery, Piper, Layla\"], [\"what did I eat for breakfast on 2013/04/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5134\", \"logical_representation\": [\"2013/04/28\", \"dinner\", \"fish and chips\", \"Piper, Piper, Layla, Lydia, Hazel, Avery, Eva, Nevaeh, Nora, Rylee, Olivia, Kinsley, Claire\"], \"text_template_based\": \"I had fish and chips for dinner with Piper, Piper, Layla, Lydia, Hazel, Avery, Eva, Nevaeh, Nora, Rylee, Olivia, Kinsley, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/04/28?\", \"Piper, Piper, Layla, Lydia, Hazel, Avery, Eva, Nevaeh, Nora, Rylee, Olivia, Kinsley, Claire\"], [\"what did I eat for dinner on 2013/04/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5135\", \"logical_representation\": [\"2013/04/28\", \"Avery, Claire\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I talked to Avery, Claire for 18 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire during lunch hours on 2013/04/28?\", \"18 minutes\"], [\"who did I talk to on 2013/04/28?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2013/04/28?\", \"yes\"], [\"Did I talk to anyone on 2013/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5136\", \"logical_representation\": [\"2013/04/28\", \"Hazel, Kinsley\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Hazel, Kinsley for 53 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley in the late afternoon on 2013/04/28?\", \"53 minutes\"], [\"who did I talk to on 2013/04/28?\", \"Hazel, Kinsley\"], [\"Did I talk to Hazel, Kinsley on 2013/04/28?\", \"yes\"], [\"Did I talk to anyone on 2013/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5137\", \"logical_representation\": [\"2013/04/28\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/04/28?\", \"8 minutes\"], [\"what did I read on 2013/04/28?\", \"news\"], [\"Did I read on 2013/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5138\", \"logical_representation\": [\"2013/04/28\", \"a tv series\", \"44 minutes\"], \"text_template_based\": \"I watched a tv series for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/28?\", \"44 minutes\"], [\"what did I watch on tv on 2013/04/28?\", \"a tv series\"], [\"Did I watch tv on 2013/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/06\": {\"dating\": {\"eid\": \"e4633\", \"logical_representation\": [\"2013/05/06\", \"Wyatt\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Wyatt on 2013/05/06 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/05/06\", \"Wyatt\"], [\"where did I go for the date on 2013/05/06\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e4635\", \"logical_representation\": [\"2013/05/06\", \"I bought some strawberries, watermelons, cherres, guava, pineapple juice, apple juice, tea, toilet paper, toothpaste, conditioner from the grocery store. I saw Piper, Layla, Piper, Claire, Rylee, Eva, Nora at the grocery store.\", \"strawberries, watermelons, cherres, guava\", \"pineapple juice, apple juice, tea\", \"toilet paper, toothpaste, conditioner\", \"Piper, Layla, Piper, Claire, Rylee, Eva, Nora\"], \"text_template_based\": \"I bought some strawberries, watermelons, cherres, guava, pineapple juice, apple juice, tea, toilet paper, toothpaste, conditioner from the grocery store. I saw Piper, Layla, Piper, Claire, Rylee, Eva, Nora at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/05/06?\", \"strawberries, watermelons, cherres, guava, pineapple juice, apple juice, tea, and toilet paper, toothpaste, conditioner\"], [\"what fruits did I buy from the grocery store on 2013/05/06?\", \"strawberries, watermelons, cherres, guava\"], [\"what drinks did I buy from the grocery store on 2013/05/06?\", \"pineapple juice, apple juice, tea\"], [\"what toiletries did I buy from the grocery store on 2013/05/06?\", \"toilet paper, toothpaste, conditioner\"], [\"who did I see at the grocery store on 2013/05/06?\", \"Piper, Layla, Piper, Claire, Rylee, Eva, Nora\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5172\", \"logical_representation\": [\"2013/05/06\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/05/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5173\", \"logical_representation\": [\"2013/05/06\", \"lunch\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/05/06?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2013/05/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5174\", \"logical_representation\": [\"2013/05/06\", \"Nora, Nevaeh, Olivia\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Nora, Nevaeh, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Olivia in the late afternoon on 2013/05/06?\", \"15 minutes\"], [\"who did I talk to on 2013/05/06?\", \"Nora, Nevaeh, Olivia\"], [\"Did I talk to Nora, Nevaeh, Olivia on 2013/05/06?\", \"yes\"], [\"Did I talk to anyone on 2013/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5175\", \"logical_representation\": [\"2013/05/06\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/05/06?\", \"8 minutes\"], [\"what did I read on 2013/05/06?\", \"news\"], [\"Did I read on 2013/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/02\": {\"hobbies\": {\"eid\": \"e4634\", \"logical_representation\": [\"2013/05/02\", \"I spent time gardening on 2013/05/02 with Carter, Kayden, Emily.\", \"gardening\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I spent time gardening on 2013/05/02 with Carter, Kayden, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Carter, Kayden, Emily?\", \"2013/05/02\"], [\"On 2013/05/02, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2013/05/02?\", \"Carter, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5151\", \"logical_representation\": [\"2013/05/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/05/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5152\", \"logical_representation\": [\"2013/05/02\", \"breakfast\", \"cereals\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/05/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5153\", \"logical_representation\": [\"2013/05/02\", \"lunch\", \"indian food\", \"Willow\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/05/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5154\", \"logical_representation\": [\"2013/05/02\", \"Avery, Layla, Rylee, Eva\", \"late in the evening\", \"54 minutes\"], \"text_template_based\": \"I talked to Avery, Layla, Rylee, Eva for 54 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Rylee, Eva late in the evening on 2013/05/02?\", \"54 minutes\"], [\"who did I talk to on 2013/05/02?\", \"Avery, Layla, Rylee, Eva\"], [\"Did I talk to Avery, Layla, Rylee, Eva on 2013/05/02?\", \"yes\"], [\"Did I talk to anyone on 2013/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5155\", \"logical_representation\": [\"2013/05/02\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/05/02?\", \"37 minutes\"], [\"what did I read on 2013/05/02?\", \"social media\"], [\"Did I read on 2013/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5156\", \"logical_representation\": [\"2013/05/02\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/02?\", \"19 minutes\"], [\"what did I watch on tv on 2013/05/02?\", \"a movie\"], [\"Did I watch tv on 2013/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/12\": {\"grocery\": {\"eid\": \"e4636\", \"logical_representation\": [\"2013/05/12\", \"I bought some peaches, mineral water, orange juice, guava juice, chocolate milk, body lotion, mouthwash, mouth wash, toothbrush online.\", \"peaches\", \"mineral water, orange juice, guava juice, chocolate milk\", \"body lotion, mouthwash, mouth wash, toothbrush\", \"Kayden, Andrew\"], \"text_template_based\": \"I bought some peaches, mineral water, orange juice, guava juice, chocolate milk, body lotion, mouthwash, mouth wash, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/05/12?\", \"peaches, mineral water, orange juice, guava juice, chocolate milk, and body lotion, mouthwash, mouth wash, toothbrush\"], [\"what fruits did I buy online on 2013/05/12?\", \"peaches\"], [\"what drinks did I buy online on 2013/05/12?\", \"mineral water, orange juice, guava juice, chocolate milk\"], [\"what toiletries did I buy online on 2013/05/12?\", \"body lotion, mouthwash, mouth wash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5199\", \"logical_representation\": [\"2013/05/12\", \"running\"], \"text_template_based\": \"I did running on 2013/05/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/12?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5200\", \"logical_representation\": [\"2013/05/12\", \"lunch\", \"chinese food\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/05/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5201\", \"logical_representation\": [\"2013/05/12\", \"dinner\", \"sandwich\", \"Olivia, Nevaeh, Layla\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/05/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5202\", \"logical_representation\": [\"2013/05/12\", \"Claire\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Claire for 13 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2013/05/12?\", \"13 minutes\"], [\"who did I talk to on 2013/05/12?\", \"Claire\"], [\"Did I talk to Claire on 2013/05/12?\", \"yes\"], [\"Did I talk to anyone on 2013/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5203\", \"logical_representation\": [\"2013/05/12\", \"Layla, Claire\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I talked to Layla, Claire for 14 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire during lunch hours on 2013/05/12?\", \"14 minutes\"], [\"who did I talk to on 2013/05/12?\", \"Layla, Claire\"], [\"Did I talk to Layla, Claire on 2013/05/12?\", \"yes\"], [\"Did I talk to anyone on 2013/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5204\", \"logical_representation\": [\"2013/05/12\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/05/12?\", \"21 minutes\"], [\"what did I read on 2013/05/12?\", \"news\"], [\"Did I read on 2013/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/14\": {\"dating\": {\"eid\": \"e4637\", \"logical_representation\": [\"2013/05/14\", \"Paisley\", \"a boba shop\"], \"text_template_based\": \"On 2013/05/14, I took Paisley on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/05/14\", \"Paisley\"], [\"where did I go for the date on 2013/05/14\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5208\", \"logical_representation\": [\"2013/05/14\", \"running\"], \"text_template_based\": \"I did running on 2013/05/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5209\", \"logical_representation\": [\"2013/05/14\", \"dinner\", \"sandwich\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/05/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2013/05/24\": {\"dating\": {\"eid\": \"e4638\", \"logical_representation\": [\"2013/05/24\", \"Jade\", \"a coffee Shop\"], \"text_template_based\": \"On 2013/05/24, I took Jade on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/05/24\", \"Jade\"], [\"where did I go for the date on 2013/05/24\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5239\", \"logical_representation\": [\"2013/05/24\", \"breakfast\", \"cereals\", \"Piper, Lydia, Avery, Rylee, Olivia, Layla, Eva, Piper, Claire, Nora, Hazel, Kinsley, Nevaeh\"], \"text_template_based\": \"I had cereals for breakfast with Piper, Lydia, Avery, Rylee, Olivia, Layla, Eva, Piper, Claire, Nora, Hazel, Kinsley, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/05/24?\", \"Piper, Lydia, Avery, Rylee, Olivia, Layla, Eva, Piper, Claire, Nora, Hazel, Kinsley, Nevaeh\"], [\"what did I eat for breakfast on 2013/05/24\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5240\", \"logical_representation\": [\"2013/05/24\", \"lunch\", \"steak\", \"Emily\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/05/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5241\", \"logical_representation\": [\"2013/05/24\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/05/24?\", \"45 minutes\"], [\"what did I read on 2013/05/24?\", \"news\"], [\"Did I read on 2013/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5242\", \"logical_representation\": [\"2013/05/24\", \"a movie\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/24?\", \"24 minutes\"], [\"what did I watch on tv on 2013/05/24?\", \"a movie\"], [\"Did I watch tv on 2013/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/27\": {\"hobbies\": {\"eid\": \"e4639\", \"logical_representation\": [\"2013/05/27\", \"I spent time yoga on 2013/05/27 with Willow, Jackson, Avery.\", \"yoga\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I spent time yoga on 2013/05/27 with Willow, Jackson, Avery.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Willow, Jackson, Avery?\", \"2013/05/27\"], [\"On 2013/05/27, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2013/05/27?\", \"Willow, Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5250\", \"logical_representation\": [\"2013/05/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/05/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5251\", \"logical_representation\": [\"2013/05/27\", \"breakfast\", \"oatmeal\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/05/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5252\", \"logical_representation\": [\"2013/05/27\", \"Avery\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Avery for 24 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early afternoon on 2013/05/27?\", \"24 minutes\"], [\"who did I talk to on 2013/05/27?\", \"Avery\"], [\"Did I talk to Avery on 2013/05/27?\", \"yes\"], [\"Did I talk to anyone on 2013/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5253\", \"logical_representation\": [\"2013/05/27\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/05/27?\", \"8 minutes\"], [\"what did I read on 2013/05/27?\", \"news\"], [\"Did I read on 2013/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5254\", \"logical_representation\": [\"2013/05/27\", \"news\", \"32 minutes\"], \"text_template_based\": \"I watched news for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/27?\", \"32 minutes\"], [\"what did I watch on tv on 2013/05/27?\", \"news\"], [\"Did I watch tv on 2013/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/02\": {\"dating\": {\"eid\": \"e4640\", \"logical_representation\": [\"2013/06/02\", \"Ryan\", \"a coffee Shop\"], \"text_template_based\": \"On 2013/06/02, I took Ryan on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/06/02\", \"Ryan\"], [\"where did I go for the date on 2013/06/02\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5274\", \"logical_representation\": [\"2013/06/02\", \"lunch\", \"indian food\", \"Eva, Olivia, Hazel, Claire, Nora, Avery, Rylee, Piper\"], \"text_template_based\": \"I had lunch with Eva, Olivia, Hazel, Claire, Nora, Avery, Rylee, Piper. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/06/02?\", \"Eva, Olivia, Hazel, Claire, Nora, Avery, Rylee, Piper\"], [\"what did I eat for lunch on 2013/06/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5275\", \"logical_representation\": [\"2013/06/02\", \"dinner\", \"a burger\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/06/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5276\", \"logical_representation\": [\"2013/06/02\", \"Claire, Kinsley, Nora, Nevaeh\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Claire, Kinsley, Nora, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Nora, Nevaeh during lunch hours on 2013/06/02?\", \"49 minutes\"], [\"who did I talk to on 2013/06/02?\", \"Claire, Kinsley, Nora, Nevaeh\"], [\"Did I talk to Claire, Kinsley, Nora, Nevaeh on 2013/06/02?\", \"yes\"], [\"Did I talk to anyone on 2013/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/30\": {\"grocery\": {\"eid\": \"e4641\", \"logical_representation\": [\"2013/05/30\", \"I bought some apples, soda, milk, mango juice, paper towel, toothbrush from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"apples\", \"soda, milk, mango juice\", \"paper towel, toothbrush\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I bought some apples, soda, milk, mango juice, paper towel, toothbrush from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/05/30?\", \"apples, soda, milk, mango juice, and paper towel, toothbrush\"], [\"what fruits did I buy from the grocery store on 2013/05/30?\", \"apples\"], [\"what drinks did I buy from the grocery store on 2013/05/30?\", \"soda, milk, mango juice\"], [\"what toiletries did I buy from the grocery store on 2013/05/30?\", \"paper towel, toothbrush\"], [\"who did I see at the grocery store on 2013/05/30?\", \"Emily, Kayden, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5261\", \"logical_representation\": [\"2013/05/30\", \"lunch\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/05/30?\", \"Andrew\"], [\"what did I eat for lunch on 2013/05/30\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2013/06/08\": {\"hobbies\": {\"eid\": \"e4642\", \"logical_representation\": [\"2013/06/08\", \"I spent some time gardening on 2013/06/08.\", \"gardening\", \"Olivia, Piper, Lydia\"], \"text_template_based\": \"I spent some time gardening on 2013/06/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2013/06/08\"], [\"On 2013/06/08, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e4643\", \"logical_representation\": [\"2013/06/08\", \"I bought some blackberries, clementines, guava, guava juice, apple juice, toothpaste from the grocery store. I saw Carter at the grocery store.\", \"blackberries, clementines, guava\", \"guava juice, apple juice\", \"toothpaste\", \"Carter\"], \"text_template_based\": \"I bought some blackberries, clementines, guava, guava juice, apple juice, toothpaste from the grocery store. I saw Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/06/08?\", \"blackberries, clementines, guava, guava juice, apple juice, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2013/06/08?\", \"blackberries, clementines, guava\"], [\"what drinks did I buy from the grocery store on 2013/06/08?\", \"guava juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2013/06/08?\", \"toothpaste\"], [\"who did I see at the grocery store on 2013/06/08?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5298\", \"logical_representation\": [\"2013/06/08\", \"lunch\", \"a burger\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/06/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5299\", \"logical_representation\": [\"2013/06/08\", \"Lydia\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Lydia for 7 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the late afternoon on 2013/06/08?\", \"7 minutes\"], [\"who did I talk to on 2013/06/08?\", \"Lydia\"], [\"Did I talk to Lydia on 2013/06/08?\", \"yes\"], [\"Did I talk to anyone on 2013/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5300\", \"logical_representation\": [\"2013/06/08\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/08?\", \"42 minutes\"], [\"what did I watch on tv on 2013/06/08?\", \"a documentary\"], [\"Did I watch tv on 2013/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/17\": {\"grocery\": {\"eid\": \"e4644\", \"logical_representation\": [\"2013/06/17\", \"I bought some peaches, milk, guava juice, facial wash online.\", \"peaches\", \"milk, guava juice\", \"facial wash\", \"Willow\"], \"text_template_based\": \"I bought some peaches, milk, guava juice, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/06/17?\", \"peaches, milk, guava juice, and facial wash\"], [\"what fruits did I buy online on 2013/06/17?\", \"peaches\"], [\"what drinks did I buy online on 2013/06/17?\", \"milk, guava juice\"], [\"what toiletries did I buy online on 2013/06/17?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5331\", \"logical_representation\": [\"2013/06/17\", \"lunch\", \"pasta\", \"Emily, Kayden\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/06/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5332\", \"logical_representation\": [\"2013/06/17\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I watched a tv series for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/17?\", \"55 minutes\"], [\"what did I watch on tv on 2013/06/17?\", \"a tv series\"], [\"Did I watch tv on 2013/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/29\": {\"dating\": {\"eid\": \"e4645\", \"logical_representation\": [\"2013/06/29\", \"Cooper\", \"a park\"], \"text_template_based\": \"On 2013/06/29, I took Cooper on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/06/29\", \"Cooper\"], [\"where did I go for the date on 2013/06/29\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5373\", \"logical_representation\": [\"2013/06/29\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/29\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5374\", \"logical_representation\": [\"2013/06/29\", \"lunch\", \"tacos\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had tacos for lunch with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/06/29?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2013/06/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5375\", \"logical_representation\": [\"2013/06/29\", \"dinner\", \"sandwich\", \"Eva, Olivia, Nora, Avery, Lydia, Piper, Claire, Kinsley\"], \"text_template_based\": \"I had sandwich for dinner with Eva, Olivia, Nora, Avery, Lydia, Piper, Claire, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/06/29?\", \"Eva, Olivia, Nora, Avery, Lydia, Piper, Claire, Kinsley\"], [\"what did I eat for dinner on 2013/06/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2013/06/30\": {\"grocery\": {\"eid\": \"e4646\", \"logical_representation\": [\"2013/06/30\", \"I bought some mangos, pears, nectarines, pineapple juice, apple juice, paper towel, toothbrush online.\", \"mangos, pears, nectarines\", \"pineapple juice, apple juice\", \"paper towel, toothbrush\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I bought some mangos, pears, nectarines, pineapple juice, apple juice, paper towel, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/06/30?\", \"mangos, pears, nectarines, pineapple juice, apple juice, and paper towel, toothbrush\"], [\"what fruits did I buy online on 2013/06/30?\", \"mangos, pears, nectarines\"], [\"what drinks did I buy online on 2013/06/30?\", \"pineapple juice, apple juice\"], [\"what toiletries did I buy online on 2013/06/30?\", \"paper towel, toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5376\", \"logical_representation\": [\"2013/06/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/06/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5377\", \"logical_representation\": [\"2013/06/30\", \"breakfast\", \"toast and cheese\", \"Rylee, Lydia\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5378\", \"logical_representation\": [\"2013/06/30\", \"dinner\", \"sushi\", \"Piper, Hazel, Kinsley, Piper, Claire\"], \"text_template_based\": \"I had sushi for dinner with Piper, Hazel, Kinsley, Piper, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/06/30?\", \"Piper, Hazel, Kinsley, Piper, Claire\"], [\"what did I eat for dinner on 2013/06/30\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5379\", \"logical_representation\": [\"2013/06/30\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/06/30?\", \"33 minutes\"], [\"what did I read on 2013/06/30?\", \"news\"], [\"Did I read on 2013/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/04\": {\"grocery\": {\"eid\": \"e4647\", \"logical_representation\": [\"2013/07/04\", \"I bought some cherres, mango juice, sports drinks, orange juice, body lotion online.\", \"cherres\", \"mango juice, sports drinks, orange juice\", \"body lotion\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I bought some cherres, mango juice, sports drinks, orange juice, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/07/04?\", \"cherres, mango juice, sports drinks, orange juice, and body lotion\"], [\"what fruits did I buy online on 2013/07/04?\", \"cherres\"], [\"what drinks did I buy online on 2013/07/04?\", \"mango juice, sports drinks, orange juice\"], [\"what toiletries did I buy online on 2013/07/04?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5390\", \"logical_representation\": [\"2013/07/04\", \"breakfast\", \"oatmeal\", \"Olivia, Piper, Eva, Hazel, Lydia, Nora, Kinsley, Claire, Piper, Avery\"], \"text_template_based\": \"I had breakfast with Olivia, Piper, Eva, Hazel, Lydia, Nora, Kinsley, Claire, Piper, Avery. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/07/04?\", \"Olivia, Piper, Eva, Hazel, Lydia, Nora, Kinsley, Claire, Piper, Avery\"], [\"what did I eat for breakfast on 2013/07/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5391\", \"logical_representation\": [\"2013/07/04\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/07/04\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2013/07/05\": {\"grocery\": {\"eid\": \"e4648\", \"logical_representation\": [\"2013/07/05\", \"I bought some apples, soda, sports drinks, apple juice, orange juice, toothpaste from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"apples\", \"soda, sports drinks, apple juice, orange juice\", \"toothpaste\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I bought some apples, soda, sports drinks, apple juice, orange juice, toothpaste from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/07/05?\", \"apples, soda, sports drinks, apple juice, orange juice, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2013/07/05?\", \"apples\"], [\"what drinks did I buy from the grocery store on 2013/07/05?\", \"soda, sports drinks, apple juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2013/07/05?\", \"toothpaste\"], [\"who did I see at the grocery store on 2013/07/05?\", \"Emily, Kayden, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5392\", \"logical_representation\": [\"2013/07/05\", \"running\"], \"text_template_based\": \"I did running on 2013/07/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/05?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5393\", \"logical_representation\": [\"2013/07/05\", \"breakfast\", \"oatmeal\", \"Claire, Kinsley, Nevaeh, Piper, Avery, Piper, Eva, Lydia, Nora, Olivia, Rylee, Layla\"], \"text_template_based\": \"I had breakfast with Claire, Kinsley, Nevaeh, Piper, Avery, Piper, Eva, Lydia, Nora, Olivia, Rylee, Layla. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/07/05?\", \"Claire, Kinsley, Nevaeh, Piper, Avery, Piper, Eva, Lydia, Nora, Olivia, Rylee, Layla\"], [\"what did I eat for breakfast on 2013/07/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5394\", \"logical_representation\": [\"2013/07/05\", \"lunch\", \"sandwich\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/07/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5395\", \"logical_representation\": [\"2013/07/05\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/07/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5396\", \"logical_representation\": [\"2013/07/05\", \"Avery, Piper\", \"in the morning\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Avery, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the morning on 2013/07/05?\", \"8 minutes\"], [\"who did I talk to on 2013/07/05?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2013/07/05?\", \"yes\"], [\"Did I talk to anyone on 2013/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5397\", \"logical_representation\": [\"2013/07/05\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/07/05?\", \"43 minutes\"], [\"what did I read on 2013/07/05?\", \"news\"], [\"Did I read on 2013/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5398\", \"logical_representation\": [\"2013/07/05\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/05?\", \"48 minutes\"], [\"what did I watch on tv on 2013/07/05?\", \"a movie\"], [\"Did I watch tv on 2013/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/16\": {\"dating\": {\"eid\": \"e4649\", \"logical_representation\": [\"2013/07/16\", \"Aiden\", \"a park\"], \"text_template_based\": \"I went on a date with Aiden on 2013/07/16 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/07/16\", \"Aiden\"], [\"where did I go for the date on 2013/07/16\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5436\", \"logical_representation\": [\"2013/07/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/07/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5437\", \"logical_representation\": [\"2013/07/16\", \"lunch\", \"fish and chips\", \"Layla, Kinsley, Piper, Lydia, Rylee, Piper, Olivia, Claire\"], \"text_template_based\": \"I had fish and chips for lunch with Layla, Kinsley, Piper, Lydia, Rylee, Piper, Olivia, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/07/16?\", \"Layla, Kinsley, Piper, Lydia, Rylee, Piper, Olivia, Claire\"], [\"what did I eat for lunch on 2013/07/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5438\", \"logical_representation\": [\"2013/07/16\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/07/16?\", \"46 minutes\"], [\"what did I read on 2013/07/16?\", \"a book\"], [\"Did I read on 2013/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5439\", \"logical_representation\": [\"2013/07/16\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/16?\", \"50 minutes\"], [\"what did I watch on tv on 2013/07/16?\", \"a tv series\"], [\"Did I watch tv on 2013/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/19\": {\"dating\": {\"eid\": \"e4650\", \"logical_representation\": [\"2013/07/19\", \"Theodore\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Theodore on 2013/07/19 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/07/19\", \"Theodore\"], [\"where did I go for the date on 2013/07/19\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e4651\", \"logical_representation\": [\"2013/07/19\", \"I went grocery shopping. I bought some nectarines, blackberries, chocolate milk, and toothpaste, facial wash\", \"nectarines, blackberries\", \"chocolate milk\", \"toothpaste, facial wash\", \"Eva, Piper, Rylee, Avery, Hazel, Nora, Piper, Claire, Olivia, Kinsley, Lydia\"], \"text_template_based\": \"I went grocery shopping. I bought some nectarines, blackberries, chocolate milk, and toothpaste, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/07/19?\", \"nectarines, blackberries, chocolate milk, and toothpaste, facial wash\"], [\"what fruits did I buy from the grocery store on 2013/07/19?\", \"nectarines, blackberries\"], [\"what drinks did I buy from the grocery store on 2013/07/19?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2013/07/19?\", \"toothpaste, facial wash\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5449\", \"logical_representation\": [\"2013/07/19\", \"dinner\", \"sushi\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/07/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5450\", \"logical_representation\": [\"2013/07/19\", \"Nora, Nevaeh, Piper\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Nora, Nevaeh, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Piper during lunch hours on 2013/07/19?\", \"6 minutes\"], [\"who did I talk to on 2013/07/19?\", \"Nora, Nevaeh, Piper\"], [\"Did I talk to Nora, Nevaeh, Piper on 2013/07/19?\", \"yes\"], [\"Did I talk to anyone on 2013/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5451\", \"logical_representation\": [\"2013/07/19\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/07/19?\", \"26 minutes\"], [\"what did I read on 2013/07/19?\", \"news\"], [\"Did I read on 2013/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/25\": {\"grocery\": {\"eid\": \"e4652\", \"logical_representation\": [\"2013/07/25\", \"I went grocery shopping. I bought some blackberries, pears, watermelons, peaches, chocolate milk, mineral water, milk, tea, and paper towel\", \"blackberries, pears, watermelons, peaches\", \"chocolate milk, mineral water, milk, tea\", \"paper towel\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some blackberries, pears, watermelons, peaches, chocolate milk, mineral water, milk, tea, and paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/07/25?\", \"blackberries, pears, watermelons, peaches, chocolate milk, mineral water, milk, tea, and paper towel\"], [\"what fruits did I buy from the grocery store on 2013/07/25?\", \"blackberries, pears, watermelons, peaches\"], [\"what drinks did I buy from the grocery store on 2013/07/25?\", \"chocolate milk, mineral water, milk, tea\"], [\"what toiletries did I buy from the grocery store on 2013/07/25?\", \"paper towel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5468\", \"logical_representation\": [\"2013/07/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/07/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5469\", \"logical_representation\": [\"2013/07/25\", \"Nora, Claire, Rylee, Lydia\", \"late in the evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Nora, Claire, Rylee, Lydia for 35 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Rylee, Lydia late in the evening on 2013/07/25?\", \"35 minutes\"], [\"who did I talk to on 2013/07/25?\", \"Nora, Claire, Rylee, Lydia\"], [\"Did I talk to Nora, Claire, Rylee, Lydia on 2013/07/25?\", \"yes\"], [\"Did I talk to anyone on 2013/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5470\", \"logical_representation\": [\"2013/07/25\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/07/25?\", \"43 minutes\"], [\"what did I read on 2013/07/25?\", \"news\"], [\"Did I read on 2013/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5471\", \"logical_representation\": [\"2013/07/25\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/25?\", \"27 minutes\"], [\"what did I watch on tv on 2013/07/25?\", \"a documentary\"], [\"Did I watch tv on 2013/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/29\": {\"grocery\": {\"eid\": \"e4653\", \"logical_representation\": [\"2013/07/29\", \"I went grocery shopping. I bought some peaches, watermelons, guava juice, apple juice, and mouthwash, toilet paper, paper towel, toothpaste\", \"peaches, watermelons\", \"guava juice, apple juice\", \"mouthwash, toilet paper, paper towel, toothpaste\", \"Hazel, Layla, Avery, Claire, Piper, Eva, Piper, Olivia, Lydia, Nora, Nevaeh, Rylee\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, watermelons, guava juice, apple juice, and mouthwash, toilet paper, paper towel, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/07/29?\", \"peaches, watermelons, guava juice, apple juice, and mouthwash, toilet paper, paper towel, toothpaste\"], [\"what fruits did I buy from the grocery store on 2013/07/29?\", \"peaches, watermelons\"], [\"what drinks did I buy from the grocery store on 2013/07/29?\", \"guava juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2013/07/29?\", \"mouthwash, toilet paper, paper towel, toothpaste\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5484\", \"logical_representation\": [\"2013/07/29\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/29?\", \"23 minutes\"], [\"what did I watch on tv on 2013/07/29?\", \"a movie\"], [\"Did I watch tv on 2013/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/01\": {\"dating\": {\"eid\": \"e4654\", \"logical_representation\": [\"2013/08/01\", \"Leilani\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Leilani on 2013/08/01 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/08/01\", \"Leilani\"], [\"where did I go for the date on 2013/08/01\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5495\", \"logical_representation\": [\"2013/08/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5496\", \"logical_representation\": [\"2013/08/01\", \"dinner\", \"fish and chips\", \"Hazel, Nora, Kinsley, Eva\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5497\", \"logical_representation\": [\"2013/08/01\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/08/01?\", \"48 minutes\"], [\"what did I read on 2013/08/01?\", \"a book\"], [\"Did I read on 2013/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/05\": {\"dating\": {\"eid\": \"e4655\", \"logical_representation\": [\"2013/08/05\", \"Owen\", \"a park\"], \"text_template_based\": \"I went on a date with Owen on 2013/08/05 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/08/05\", \"Owen\"], [\"where did I go for the date on 2013/08/05\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5508\", \"logical_representation\": [\"2013/08/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/08/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5509\", \"logical_representation\": [\"2013/08/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/08/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5510\", \"logical_representation\": [\"2013/08/05\", \"lunch\", \"steak\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch with Emily, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/08/05?\", \"Emily, Carter\"], [\"what did I eat for lunch on 2013/08/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5511\", \"logical_representation\": [\"2013/08/05\", \"dinner\", \"sandwich\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5512\", \"logical_representation\": [\"2013/08/05\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/08/05?\", \"6 minutes\"], [\"what did I read on 2013/08/05?\", \"social media\"], [\"Did I read on 2013/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5513\", \"logical_representation\": [\"2013/08/05\", \"a tv series\", \"31 minutes\"], \"text_template_based\": \"I watched a tv series for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/05?\", \"31 minutes\"], [\"what did I watch on tv on 2013/08/05?\", \"a tv series\"], [\"Did I watch tv on 2013/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/30\": {\"hobbies\": {\"eid\": \"e4656\", \"logical_representation\": [\"2013/07/30\", \"I really enjoyed meditation on 2013/07/30\", \"meditation\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I really enjoyed meditation on 2013/07/30\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2013/07/30\"], [\"On 2013/07/30, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e4657\", \"logical_representation\": [\"2013/07/30\", \"I bought some oranges, orange juice, tea, shampoo, body lotion from the grocery store. I saw Kinsley, Olivia, Hazel, Piper, Avery, Lydia, Layla, Rylee, Nora, Piper, Eva at the grocery store.\", \"oranges\", \"orange juice, tea\", \"shampoo, body lotion\", \"Kinsley, Olivia, Hazel, Piper, Avery, Lydia, Layla, Rylee, Nora, Piper, Eva\"], \"text_template_based\": \"I bought some oranges, orange juice, tea, shampoo, body lotion from the grocery store. I saw Kinsley, Olivia, Hazel, Piper, Avery, Lydia, Layla, Rylee, Nora, Piper, Eva at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/07/30?\", \"oranges, orange juice, tea, and shampoo, body lotion\"], [\"what fruits did I buy from the grocery store on 2013/07/30?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2013/07/30?\", \"orange juice, tea\"], [\"what toiletries did I buy from the grocery store on 2013/07/30?\", \"shampoo, body lotion\"], [\"who did I see at the grocery store on 2013/07/30?\", \"Kinsley, Olivia, Hazel, Piper, Avery, Lydia, Layla, Rylee, Nora, Piper, Eva\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5485\", \"logical_representation\": [\"2013/07/30\", \"breakfast\", \"pancakes\", \"Olivia, Nevaeh, Avery, Rylee, Piper, Lydia, Kinsley, Hazel, Layla, Piper, Claire, Nora\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5486\", \"logical_representation\": [\"2013/07/30\", \"lunch\", \"chinese food\", \"Nevaeh, Piper, Nora, Layla, Piper, Claire, Rylee, Avery\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/07/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5487\", \"logical_representation\": [\"2013/07/30\", \"Piper, Piper, Rylee\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Piper, Piper, Rylee for 11 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Rylee in the early evening on 2013/07/30?\", \"11 minutes\"], [\"who did I talk to on 2013/07/30?\", \"Piper, Piper, Rylee\"], [\"Did I talk to Piper, Piper, Rylee on 2013/07/30?\", \"yes\"], [\"Did I talk to anyone on 2013/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5488\", \"logical_representation\": [\"2013/07/30\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I watched a tv series for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/30?\", \"6 minutes\"], [\"what did I watch on tv on 2013/07/30?\", \"a tv series\"], [\"Did I watch tv on 2013/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/03\": {\"grocery\": {\"eid\": \"e4658\", \"logical_representation\": [\"2013/08/03\", \"I bought some apricots, apples, pineapples, watermelons, tea, milk, mouthwash, body lotion online.\", \"apricots, apples, pineapples, watermelons\", \"tea, milk\", \"mouthwash, body lotion\", \"Kinsley\"], \"text_template_based\": \"I bought some apricots, apples, pineapples, watermelons, tea, milk, mouthwash, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/08/03?\", \"apricots, apples, pineapples, watermelons, tea, milk, and mouthwash, body lotion\"], [\"what fruits did I buy online on 2013/08/03?\", \"apricots, apples, pineapples, watermelons\"], [\"what drinks did I buy online on 2013/08/03?\", \"tea, milk\"], [\"what toiletries did I buy online on 2013/08/03?\", \"mouthwash, body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5502\", \"logical_representation\": [\"2013/08/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/08/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5503\", \"logical_representation\": [\"2013/08/03\", \"lunch\", \"tacos\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5504\", \"logical_representation\": [\"2013/08/03\", \"dinner\", \"sandwich\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2013/08/08\": {\"dating\": {\"eid\": \"e4659\", \"logical_representation\": [\"2013/08/08\", \"Santiago \", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Santiago  on 2013/08/08 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/08/08\", \"Santiago \"], [\"where did I go for the date on 2013/08/08\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5521\", \"logical_representation\": [\"2013/08/08\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5522\", \"logical_representation\": [\"2013/08/08\", \"dinner\", \"steak\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5523\", \"logical_representation\": [\"2013/08/08\", \"Kinsley, Piper, Avery\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Avery for 49 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Avery in the early afternoon on 2013/08/08?\", \"49 minutes\"], [\"who did I talk to on 2013/08/08?\", \"Kinsley, Piper, Avery\"], [\"Did I talk to Kinsley, Piper, Avery on 2013/08/08?\", \"yes\"], [\"Did I talk to anyone on 2013/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5524\", \"logical_representation\": [\"2013/08/08\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/08/08?\", \"18 minutes\"], [\"what did I read on 2013/08/08?\", \"a book\"], [\"Did I read on 2013/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5525\", \"logical_representation\": [\"2013/08/08\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/08?\", \"43 minutes\"], [\"what did I watch on tv on 2013/08/08?\", \"a movie\"], [\"Did I watch tv on 2013/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/12\": {\"hobbies\": {\"eid\": \"e4660\", \"logical_representation\": [\"2013/08/12\", \"I really enjoyed learning a language on 2013/08/12\", \"learning a language\", \"Kayden, Carter\"], \"text_template_based\": \"I really enjoyed learning a language on 2013/08/12\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2013/08/12\"], [\"On 2013/08/12, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5537\", \"logical_representation\": [\"2013/08/12\", \"lunch\", \"indian food\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5538\", \"logical_representation\": [\"2013/08/12\", \"dinner\", \"indian food\", \"Avery, Jackson\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/12\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2013/08/10\": {\"grocery\": {\"eid\": \"e4661\", \"logical_representation\": [\"2013/08/10\", \"I went grocery shopping. I bought some apples, guava juice, mango juice, and body lotion, shampoo, shaving cream, toothpaste\", \"apples\", \"guava juice, mango juice\", \"body lotion, shampoo, shaving cream, toothpaste\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, guava juice, mango juice, and body lotion, shampoo, shaving cream, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/08/10?\", \"apples, guava juice, mango juice, and body lotion, shampoo, shaving cream, toothpaste\"], [\"what fruits did I buy from the grocery store on 2013/08/10?\", \"apples\"], [\"what drinks did I buy from the grocery store on 2013/08/10?\", \"guava juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2013/08/10?\", \"body lotion, shampoo, shaving cream, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5529\", \"logical_representation\": [\"2013/08/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/08/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5530\", \"logical_representation\": [\"2013/08/10\", \"breakfast\", \"cereals\", \"Nora, Avery, Eva, Olivia, Nevaeh, Rylee\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/08/10\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5531\", \"logical_representation\": [\"2013/08/10\", \"Piper\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper for 43 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2013/08/10?\", \"43 minutes\"], [\"who did I talk to on 2013/08/10?\", \"Piper\"], [\"Did I talk to Piper on 2013/08/10?\", \"yes\"], [\"Did I talk to anyone on 2013/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5532\", \"logical_representation\": [\"2013/08/10\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/08/10?\", \"17 minutes\"], [\"what did I read on 2013/08/10?\", \"news\"], [\"Did I read on 2013/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5533\", \"logical_representation\": [\"2013/08/10\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/10?\", \"23 minutes\"], [\"what did I watch on tv on 2013/08/10?\", \"a tv series\"], [\"Did I watch tv on 2013/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/18\": {\"dating\": {\"eid\": \"e4662\", \"logical_representation\": [\"2013/08/18\", \"Nova\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Nova on 2013/08/18 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/08/18\", \"Nova\"], [\"where did I go for the date on 2013/08/18\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5552\", \"logical_representation\": [\"2013/08/18\", \"biking\"], \"text_template_based\": \"I did biking on 2013/08/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/18?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5553\", \"logical_representation\": [\"2013/08/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/08/18?\", \"Andrew, Kayden\"], [\"what did I eat for breakfast on 2013/08/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5554\", \"logical_representation\": [\"2013/08/18\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/08/18?\", \"55 minutes\"], [\"what did I read on 2013/08/18?\", \"social media\"], [\"Did I read on 2013/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/17\": {\"grocery\": {\"eid\": \"e4663\", \"logical_representation\": [\"2013/08/17\", \"I bought some raspberries, mangos, bananas, guava, soda, toothpaste, body lotion online.\", \"raspberries, mangos, bananas, guava\", \"soda\", \"toothpaste, body lotion\", \"Kayden, Andrew\"], \"text_template_based\": \"I bought some raspberries, mangos, bananas, guava, soda, toothpaste, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/08/17?\", \"raspberries, mangos, bananas, guava, soda, and toothpaste, body lotion\"], [\"what fruits did I buy online on 2013/08/17?\", \"raspberries, mangos, bananas, guava\"], [\"what drinks did I buy online on 2013/08/17?\", \"soda\"], [\"what toiletries did I buy online on 2013/08/17?\", \"toothpaste, body lotion\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5550\", \"logical_representation\": [\"2013/08/17\", \"Lydia\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Lydia for 25 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2013/08/17?\", \"25 minutes\"], [\"who did I talk to on 2013/08/17?\", \"Lydia\"], [\"Did I talk to Lydia on 2013/08/17?\", \"yes\"], [\"Did I talk to anyone on 2013/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5551\", \"logical_representation\": [\"2013/08/17\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I watched a movie for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/17?\", \"13 minutes\"], [\"what did I watch on tv on 2013/08/17?\", \"a movie\"], [\"Did I watch tv on 2013/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/23\": {\"grocery\": {\"eid\": \"e4664\", \"logical_representation\": [\"2013/08/23\", \"I went grocery shopping. I bought some bananas, guava, nectarines, sports drinks, soda, apple juice, chocolate milk, and toilet paper\", \"bananas, guava, nectarines\", \"sports drinks, soda, apple juice, chocolate milk\", \"toilet paper\", \"Eva, Nevaeh, Kinsley, Rylee, Layla, Avery, Lydia, Olivia\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, guava, nectarines, sports drinks, soda, apple juice, chocolate milk, and toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/08/23?\", \"bananas, guava, nectarines, sports drinks, soda, apple juice, chocolate milk, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2013/08/23?\", \"bananas, guava, nectarines\"], [\"what drinks did I buy from the grocery store on 2013/08/23?\", \"sports drinks, soda, apple juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2013/08/23?\", \"toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5571\", \"logical_representation\": [\"2013/08/23\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/08/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/23?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5572\", \"logical_representation\": [\"2013/08/23\", \"Nora, Avery, Layla, Hazel\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Nora, Avery, Layla, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery, Layla, Hazel in the early evening on 2013/08/23?\", \"33 minutes\"], [\"who did I talk to on 2013/08/23?\", \"Nora, Avery, Layla, Hazel\"], [\"Did I talk to Nora, Avery, Layla, Hazel on 2013/08/23?\", \"yes\"], [\"Did I talk to anyone on 2013/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5573\", \"logical_representation\": [\"2013/08/23\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/08/23?\", \"21 minutes\"], [\"what did I read on 2013/08/23?\", \"social media\"], [\"Did I read on 2013/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5574\", \"logical_representation\": [\"2013/08/23\", \"a documentary\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/23?\", \"8 minutes\"], [\"what did I watch on tv on 2013/08/23?\", \"a documentary\"], [\"Did I watch tv on 2013/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/28\": {\"dating\": {\"eid\": \"e4665\", \"logical_representation\": [\"2013/08/28\", \"Michael\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Michael on 2013/08/28 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/08/28\", \"Michael\"], [\"where did I go for the date on 2013/08/28\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5592\", \"logical_representation\": [\"2013/08/28\", \"Kinsley, Rylee, Lydia, Avery\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee, Lydia, Avery for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Lydia, Avery during lunch hours on 2013/08/28?\", \"26 minutes\"], [\"who did I talk to on 2013/08/28?\", \"Kinsley, Rylee, Lydia, Avery\"], [\"Did I talk to Kinsley, Rylee, Lydia, Avery on 2013/08/28?\", \"yes\"], [\"Did I talk to anyone on 2013/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5593\", \"logical_representation\": [\"2013/08/28\", \"Hazel, Kinsley\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Hazel, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley in the early evening on 2013/08/28?\", \"40 minutes\"], [\"who did I talk to on 2013/08/28?\", \"Hazel, Kinsley\"], [\"Did I talk to Hazel, Kinsley on 2013/08/28?\", \"yes\"], [\"Did I talk to anyone on 2013/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5594\", \"logical_representation\": [\"2013/08/28\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/08/28?\", \"30 minutes\"], [\"what did I read on 2013/08/28?\", \"social media\"], [\"Did I read on 2013/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5595\", \"logical_representation\": [\"2013/08/28\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/28?\", \"32 minutes\"], [\"what did I watch on tv on 2013/08/28?\", \"a tv series\"], [\"Did I watch tv on 2013/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/16\": {\"dating\": {\"eid\": \"e4666\", \"logical_representation\": [\"2013/09/16\", \"Adam\", \"a park\"], \"text_template_based\": \"On 2013/09/16, I took Adam on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/09/16\", \"Adam\"], [\"where did I go for the date on 2013/09/16\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5662\", \"logical_representation\": [\"2013/09/16\", \"breakfast\", \"oatmeal\", \"Nora, Piper, Layla, Nevaeh, Eva, Olivia, Claire\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5663\", \"logical_representation\": [\"2013/09/16\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/09/16?\", \"27 minutes\"], [\"what did I read on 2013/09/16?\", \"a book\"], [\"Did I read on 2013/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/23\": {\"dating\": {\"eid\": \"e4667\", \"logical_representation\": [\"2013/09/23\", \"Wesley\", \"a boba shop\"], \"text_template_based\": \"On 2013/09/23, I took Wesley on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/09/23\", \"Wesley\"], [\"where did I go for the date on 2013/09/23\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5693\", \"logical_representation\": [\"2013/09/23\", \"breakfast\", \"pancakes\", \"Olivia\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5694\", \"logical_representation\": [\"2013/09/23\", \"lunch\", \"tacos\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5695\", \"logical_representation\": [\"2013/09/23\", \"dinner\", \"pasta\", \"Jackson\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/09/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5696\", \"logical_representation\": [\"2013/09/23\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/09/23?\", \"24 minutes\"], [\"what did I read on 2013/09/23?\", \"a book\"], [\"Did I read on 2013/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5697\", \"logical_representation\": [\"2013/09/23\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/23?\", \"15 minutes\"], [\"what did I watch on tv on 2013/09/23?\", \"news\"], [\"Did I watch tv on 2013/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/17\": {\"hobbies\": {\"eid\": \"e4668\", \"logical_representation\": [\"2013/09/17\", \"I spent time working out on 2013/09/17 with Benjamin, Jackson.\", \"working out\", \"Benjamin, Jackson\"], \"text_template_based\": \"I spent time working out on 2013/09/17 with Benjamin, Jackson.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Benjamin, Jackson?\", \"2013/09/17\"], [\"On 2013/09/17, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2013/09/17?\", \"Benjamin, Jackson\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5664\", \"logical_representation\": [\"2013/09/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/09/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5665\", \"logical_representation\": [\"2013/09/17\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5666\", \"logical_representation\": [\"2013/09/17\", \"Avery, Nevaeh\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Avery, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh late in the evening on 2013/09/17?\", \"21 minutes\"], [\"who did I talk to on 2013/09/17?\", \"Avery, Nevaeh\"], [\"Did I talk to Avery, Nevaeh on 2013/09/17?\", \"yes\"], [\"Did I talk to anyone on 2013/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5667\", \"logical_representation\": [\"2013/09/17\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/09/17?\", \"47 minutes\"], [\"what did I read on 2013/09/17?\", \"a book\"], [\"Did I read on 2013/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5668\", \"logical_representation\": [\"2013/09/17\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I watched a movie for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/17?\", \"21 minutes\"], [\"what did I watch on tv on 2013/09/17?\", \"a movie\"], [\"Did I watch tv on 2013/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/22\": {\"grocery\": {\"eid\": \"e4669\", \"logical_representation\": [\"2013/09/22\", \"I went grocery shopping. I bought some oranges, peaches, pineapple juice, guava juice, orange juice, and body lotion, shampoo\", \"oranges, peaches\", \"pineapple juice, guava juice, orange juice\", \"body lotion, shampoo\", \"Piper, Hazel, Olivia, Kinsley, Nevaeh, Nora, Piper, Layla, Lydia, Eva, Claire, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, peaches, pineapple juice, guava juice, orange juice, and body lotion, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/09/22?\", \"oranges, peaches, pineapple juice, guava juice, orange juice, and body lotion, shampoo\"], [\"what fruits did I buy from the grocery store on 2013/09/22?\", \"oranges, peaches\"], [\"what drinks did I buy from the grocery store on 2013/09/22?\", \"pineapple juice, guava juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2013/09/22?\", \"body lotion, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5687\", \"logical_representation\": [\"2013/09/22\", \"biking\"], \"text_template_based\": \"I did biking on 2013/09/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5688\", \"logical_representation\": [\"2013/09/22\", \"breakfast\", \"pancakes\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/09/22?\", \"Carter, Andrew, Kayden\"], [\"what did I eat for breakfast on 2013/09/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5689\", \"logical_representation\": [\"2013/09/22\", \"lunch\", \"steak\", \"Carter, Emily\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5690\", \"logical_representation\": [\"2013/09/22\", \"Hazel, Kinsley\", \"in the late afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Hazel, Kinsley for 36 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley in the late afternoon on 2013/09/22?\", \"36 minutes\"], [\"who did I talk to on 2013/09/22?\", \"Hazel, Kinsley\"], [\"Did I talk to Hazel, Kinsley on 2013/09/22?\", \"yes\"], [\"Did I talk to anyone on 2013/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5691\", \"logical_representation\": [\"2013/09/22\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/09/22?\", \"35 minutes\"], [\"what did I read on 2013/09/22?\", \"social media\"], [\"Did I read on 2013/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5692\", \"logical_representation\": [\"2013/09/22\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I watched a tv series for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/22?\", \"22 minutes\"], [\"what did I watch on tv on 2013/09/22?\", \"a tv series\"], [\"Did I watch tv on 2013/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/24\": {\"dating\": {\"eid\": \"e4670\", \"logical_representation\": [\"2013/09/24\", \"Leah\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Leah on 2013/09/24 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/09/24\", \"Leah\"], [\"where did I go for the date on 2013/09/24\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5698\", \"logical_representation\": [\"2013/09/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/09/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5699\", \"logical_representation\": [\"2013/09/24\", \"lunch\", \"sushi\", \"Nora\"], \"text_template_based\": \"I had lunch with Nora. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/09/24?\", \"Nora\"], [\"what did I eat for lunch on 2013/09/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5700\", \"logical_representation\": [\"2013/09/24\", \"dinner\", \"fish and chips\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/09/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5701\", \"logical_representation\": [\"2013/09/24\", \"Hazel, Nora\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Hazel, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora in the early afternoon on 2013/09/24?\", \"31 minutes\"], [\"who did I talk to on 2013/09/24?\", \"Hazel, Nora\"], [\"Did I talk to Hazel, Nora on 2013/09/24?\", \"yes\"], [\"Did I talk to anyone on 2013/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/01\": {\"grocery\": {\"eid\": \"e4671\", \"logical_representation\": [\"2013/10/01\", \"I went grocery shopping. I bought some oranges, guava, guava juice, and facial wash, shampoo, mouth wash, toothbrush\", \"oranges, guava\", \"guava juice\", \"facial wash, shampoo, mouth wash, toothbrush\", \"Kinsley, Lydia, Piper, Layla, Eva, Piper, Claire, Hazel\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, guava, guava juice, and facial wash, shampoo, mouth wash, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/10/01?\", \"oranges, guava, guava juice, and facial wash, shampoo, mouth wash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2013/10/01?\", \"oranges, guava\"], [\"what drinks did I buy from the grocery store on 2013/10/01?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2013/10/01?\", \"facial wash, shampoo, mouth wash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5720\", \"logical_representation\": [\"2013/10/01\", \"breakfast\", \"cereals\", \"Avery\"], \"text_template_based\": \"I had cereals for breakfast with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/10/01?\", \"Avery\"], [\"what did I eat for breakfast on 2013/10/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5721\", \"logical_representation\": [\"2013/10/01\", \"Rylee\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Rylee for 15 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2013/10/01?\", \"15 minutes\"], [\"who did I talk to on 2013/10/01?\", \"Rylee\"], [\"Did I talk to Rylee on 2013/10/01?\", \"yes\"], [\"Did I talk to anyone on 2013/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5722\", \"logical_representation\": [\"2013/10/01\", \"Nora, Kinsley, Hazel\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Nora, Kinsley, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Hazel in the late afternoon on 2013/10/01?\", \"10 minutes\"], [\"who did I talk to on 2013/10/01?\", \"Nora, Kinsley, Hazel\"], [\"Did I talk to Nora, Kinsley, Hazel on 2013/10/01?\", \"yes\"], [\"Did I talk to anyone on 2013/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5723\", \"logical_representation\": [\"2013/10/01\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/01?\", \"22 minutes\"], [\"what did I watch on tv on 2013/10/01?\", \"news\"], [\"Did I watch tv on 2013/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/09\": {\"grocery\": {\"eid\": \"e4672\", \"logical_representation\": [\"2013/10/09\", \"I went grocery shopping. I bought some cherres, apricots, oranges, apple juice, orange juice, and conditioner, mouthwash, toilet paper\", \"cherres, apricots, oranges\", \"apple juice, orange juice\", \"conditioner, mouthwash, toilet paper\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some cherres, apricots, oranges, apple juice, orange juice, and conditioner, mouthwash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/10/09?\", \"cherres, apricots, oranges, apple juice, orange juice, and conditioner, mouthwash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2013/10/09?\", \"cherres, apricots, oranges\"], [\"what drinks did I buy from the grocery store on 2013/10/09?\", \"apple juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2013/10/09?\", \"conditioner, mouthwash, toilet paper\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5745\", \"logical_representation\": [\"2013/10/09\", \"Olivia\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I talked to Olivia for 27 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2013/10/09?\", \"27 minutes\"], [\"who did I talk to on 2013/10/09?\", \"Olivia\"], [\"Did I talk to Olivia on 2013/10/09?\", \"yes\"], [\"Did I talk to anyone on 2013/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/19\": {\"dating\": {\"eid\": \"e4673\", \"logical_representation\": [\"2013/10/19\", \"Amelia\", \"a boba shop\"], \"text_template_based\": \"On 2013/10/19, I took Amelia on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/10/19\", \"Amelia\"], [\"where did I go for the date on 2013/10/19\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5766\", \"logical_representation\": [\"2013/10/19\", \"breakfast\", \"cereals\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/10/19?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for breakfast on 2013/10/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5767\", \"logical_representation\": [\"2013/10/19\", \"dinner\", \"sandwich\", \"Kayden, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/10/19?\", \"Kayden, Emily\"], [\"what did I eat for dinner on 2013/10/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5768\", \"logical_representation\": [\"2013/10/19\", \"Eva, Kinsley\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley late in the evening on 2013/10/19?\", \"18 minutes\"], [\"who did I talk to on 2013/10/19?\", \"Eva, Kinsley\"], [\"Did I talk to Eva, Kinsley on 2013/10/19?\", \"yes\"], [\"Did I talk to anyone on 2013/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5769\", \"logical_representation\": [\"2013/10/19\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/10/19?\", \"16 minutes\"], [\"what did I read on 2013/10/19?\", \"social media\"], [\"Did I read on 2013/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5770\", \"logical_representation\": [\"2013/10/19\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/19?\", \"8 minutes\"], [\"what did I watch on tv on 2013/10/19?\", \"news\"], [\"Did I watch tv on 2013/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/21\": {\"hobbies\": {\"eid\": \"e4674\", \"logical_representation\": [\"2013/10/21\", \"I spent time yoga on 2013/10/21 with Kayden.\", \"yoga\", \"Kayden\"], \"text_template_based\": \"I spent time yoga on 2013/10/21 with Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Kayden?\", \"2013/10/21\"], [\"On 2013/10/21, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2013/10/21?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5772\", \"logical_representation\": [\"2013/10/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Kinsley, Lydia, Claire, Avery, Nevaeh, Olivia, Piper\"], \"text_template_based\": \"I had breakfast with Kinsley, Lydia, Claire, Avery, Nevaeh, Olivia, Piper. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/10/21?\", \"Kinsley, Lydia, Claire, Avery, Nevaeh, Olivia, Piper\"], [\"what did I eat for breakfast on 2013/10/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5773\", \"logical_representation\": [\"2013/10/21\", \"lunch\", \"chinese food\", \"Avery\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5774\", \"logical_representation\": [\"2013/10/21\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had fish and chips for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/10/21?\", \"Kayden\"], [\"what did I eat for dinner on 2013/10/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2013/10/22\": {\"dating\": {\"eid\": \"e4675\", \"logical_representation\": [\"2013/10/22\", \"Nova\", \"a park\"], \"text_template_based\": \"On 2013/10/22, I took Nova on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/10/22\", \"Nova\"], [\"where did I go for the date on 2013/10/22\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e4676\", \"logical_representation\": [\"2013/10/22\", \"I bought some mandarins, strawberries, pineapples, guava juice, milk, tea, paper towel, mouth wash from the grocery store. I saw Carter, Emily, Kayden, Andrew at the grocery store.\", \"mandarins, strawberries, pineapples\", \"guava juice, milk, tea\", \"paper towel, mouth wash\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I bought some mandarins, strawberries, pineapples, guava juice, milk, tea, paper towel, mouth wash from the grocery store. I saw Carter, Emily, Kayden, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/10/22?\", \"mandarins, strawberries, pineapples, guava juice, milk, tea, and paper towel, mouth wash\"], [\"what fruits did I buy from the grocery store on 2013/10/22?\", \"mandarins, strawberries, pineapples\"], [\"what drinks did I buy from the grocery store on 2013/10/22?\", \"guava juice, milk, tea\"], [\"what toiletries did I buy from the grocery store on 2013/10/22?\", \"paper towel, mouth wash\"], [\"who did I see at the grocery store on 2013/10/22?\", \"Carter, Emily, Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5775\", \"logical_representation\": [\"2013/10/22\", \"lunch\", \"steak\", \"Layla\"], \"text_template_based\": \"I had lunch with Layla. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/10/22?\", \"Layla\"], [\"what did I eat for lunch on 2013/10/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5776\", \"logical_representation\": [\"2013/10/22\", \"Olivia, Rylee\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Olivia, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee in the early afternoon on 2013/10/22?\", \"46 minutes\"], [\"who did I talk to on 2013/10/22?\", \"Olivia, Rylee\"], [\"Did I talk to Olivia, Rylee on 2013/10/22?\", \"yes\"], [\"Did I talk to anyone on 2013/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5777\", \"logical_representation\": [\"2013/10/22\", \"Nevaeh, Rylee, Piper, Avery\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee, Piper, Avery for 6 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Piper, Avery in the morning on 2013/10/22?\", \"6 minutes\"], [\"who did I talk to on 2013/10/22?\", \"Nevaeh, Rylee, Piper, Avery\"], [\"Did I talk to Nevaeh, Rylee, Piper, Avery on 2013/10/22?\", \"yes\"], [\"Did I talk to anyone on 2013/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/27\": {\"grocery\": {\"eid\": \"e4677\", \"logical_representation\": [\"2013/10/27\", \"I went grocery shopping with Kinsley, Hazel, Avery, Nora, Rylee, Layla. I bought some cherres, mangos, apples, watermelons, apple juice, pineapple juice, mineral water, coffee, and toothpaste\", \"cherres, mangos, apples, watermelons\", \"apple juice, pineapple juice, mineral water, coffee\", \"toothpaste\", \"Kinsley, Hazel, Avery, Nora, Rylee, Layla\"], \"text_template_based\": \"I went grocery shopping with Kinsley, Hazel, Avery, Nora, Rylee, Layla. I bought some cherres, mangos, apples, watermelons, apple juice, pineapple juice, mineral water, coffee, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/10/27?\", \"cherres, mangos, apples, watermelons, apple juice, pineapple juice, mineral water, coffee, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2013/10/27?\", \"cherres, mangos, apples, watermelons\"], [\"what drinks did I buy from the grocery store on 2013/10/27?\", \"apple juice, pineapple juice, mineral water, coffee\"], [\"what toiletries did I buy from the grocery store on 2013/10/27?\", \"toothpaste\"], [\"who was with me at the grocery store on 2013/10/27?\", \"Kinsley, Hazel, Avery, Nora, Rylee, Layla\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5796\", \"logical_representation\": [\"2013/10/27\", \"lunch\", \"indian food\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5797\", \"logical_representation\": [\"2013/10/27\", \"Nevaeh, Piper\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Nevaeh, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper in the early afternoon on 2013/10/27?\", \"16 minutes\"], [\"who did I talk to on 2013/10/27?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2013/10/27?\", \"yes\"], [\"Did I talk to anyone on 2013/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/02\": {\"dating\": {\"eid\": \"e4678\", \"logical_representation\": [\"2013/11/02\", \"Eliana\", \"a park\"], \"text_template_based\": \"On 2013/11/02, I took Eliana on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/11/02\", \"Eliana\"], [\"where did I go for the date on 2013/11/02\", \"a park\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5816\", \"logical_representation\": [\"2013/11/02\", \"dinner\", \"sandwich\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I had dinner with Jackson, Avery, Willow, Benjamin. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/11/02?\", \"Jackson, Avery, Willow, Benjamin\"], [\"what did I eat for dinner on 2013/11/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5817\", \"logical_representation\": [\"2013/11/02\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I watched a movie for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/02?\", \"37 minutes\"], [\"what did I watch on tv on 2013/11/02?\", \"a movie\"], [\"Did I watch tv on 2013/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/04\": {\"hobbies\": {\"eid\": \"e4679\", \"logical_representation\": [\"2013/11/04\", \"I spent time meditation on 2013/11/04 with Carter.\", \"meditation\", \"Carter\"], \"text_template_based\": \"I spent time meditation on 2013/11/04 with Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Carter?\", \"2013/11/04\"], [\"On 2013/11/04, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2013/11/04?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e4680\", \"logical_representation\": [\"2013/11/04\", \"I went grocery shopping with Benjamin, Jackson, Willow, Avery. I bought some mangos, pears, cherres, guava juice, and toothpaste, facial wash, shaving cream, shampoo\", \"mangos, pears, cherres\", \"guava juice\", \"toothpaste, facial wash, shaving cream, shampoo\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I went grocery shopping with Benjamin, Jackson, Willow, Avery. I bought some mangos, pears, cherres, guava juice, and toothpaste, facial wash, shaving cream, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/11/04?\", \"mangos, pears, cherres, guava juice, and toothpaste, facial wash, shaving cream, shampoo\"], [\"what fruits did I buy from the grocery store on 2013/11/04?\", \"mangos, pears, cherres\"], [\"what drinks did I buy from the grocery store on 2013/11/04?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2013/11/04?\", \"toothpaste, facial wash, shaving cream, shampoo\"], [\"who was with me at the grocery store on 2013/11/04?\", \"Benjamin, Jackson, Willow, Avery\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5824\", \"logical_representation\": [\"2013/11/04\", \"Claire, Nevaeh\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Claire, Nevaeh for 11 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh in the early evening on 2013/11/04?\", \"11 minutes\"], [\"who did I talk to on 2013/11/04?\", \"Claire, Nevaeh\"], [\"Did I talk to Claire, Nevaeh on 2013/11/04?\", \"yes\"], [\"Did I talk to anyone on 2013/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/07\": {\"dating\": {\"eid\": \"e4681\", \"logical_representation\": [\"2013/11/07\", \"Piper\", \"a park\"], \"text_template_based\": \"On 2013/11/07, I took Piper on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/11/07\", \"Piper\"], [\"where did I go for the date on 2013/11/07\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5836\", \"logical_representation\": [\"2013/11/07\", \"biking\"], \"text_template_based\": \"I did biking on 2013/11/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/07?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5837\", \"logical_representation\": [\"2013/11/07\", \"breakfast\", \"pancakes\", \"Willow\"], \"text_template_based\": \"I had pancakes for breakfast with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/11/07?\", \"Willow\"], [\"what did I eat for breakfast on 2013/11/07\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5838\", \"logical_representation\": [\"2013/11/07\", \"dinner\", \"sushi\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Emily, Kayden, Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/11/07?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2013/11/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5839\", \"logical_representation\": [\"2013/11/07\", \"Rylee, Lydia, Hazel\", \"in the morning\", \"18 minutes\"], \"text_template_based\": \"I talked to Rylee, Lydia, Hazel for 18 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Hazel in the morning on 2013/11/07?\", \"18 minutes\"], [\"who did I talk to on 2013/11/07?\", \"Rylee, Lydia, Hazel\"], [\"Did I talk to Rylee, Lydia, Hazel on 2013/11/07?\", \"yes\"], [\"Did I talk to anyone on 2013/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/14\": {\"dating\": {\"eid\": \"e4682\", \"logical_representation\": [\"2013/11/14\", \"Harper\", \"a restaurant\"], \"text_template_based\": \"On 2013/11/14, I took Harper on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/11/14\", \"Harper\"], [\"where did I go for the date on 2013/11/14\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5861\", \"logical_representation\": [\"2013/11/14\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Nora, Layla, Kinsley, Piper, Piper, Olivia, Avery, Nevaeh, Eva, Lydia, Hazel\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/11/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5862\", \"logical_representation\": [\"2013/11/14\", \"lunch\", \"a burger\", \"Hazel, Kinsley, Nevaeh\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/11/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5863\", \"logical_representation\": [\"2013/11/14\", \"dinner\", \"sushi\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/11/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5864\", \"logical_representation\": [\"2013/11/14\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/11/14?\", \"10 minutes\"], [\"what did I read on 2013/11/14?\", \"a book\"], [\"Did I read on 2013/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/13\": {\"grocery\": {\"eid\": \"e4683\", \"logical_representation\": [\"2013/11/13\", \"I went grocery shopping. I bought some nectarines, bananas, blueberries, chocolate milk, mineral water, mango juice, and body lotion, mouth wash, shampoo\", \"nectarines, bananas, blueberries\", \"chocolate milk, mineral water, mango juice\", \"body lotion, mouth wash, shampoo\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some nectarines, bananas, blueberries, chocolate milk, mineral water, mango juice, and body lotion, mouth wash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/11/13?\", \"nectarines, bananas, blueberries, chocolate milk, mineral water, mango juice, and body lotion, mouth wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2013/11/13?\", \"nectarines, bananas, blueberries\"], [\"what drinks did I buy from the grocery store on 2013/11/13?\", \"chocolate milk, mineral water, mango juice\"], [\"what toiletries did I buy from the grocery store on 2013/11/13?\", \"body lotion, mouth wash, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5858\", \"logical_representation\": [\"2013/11/13\", \"biking\"], \"text_template_based\": \"I did biking on 2013/11/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5859\", \"logical_representation\": [\"2013/11/13\", \"Layla, Olivia, Nevaeh\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Layla, Olivia, Nevaeh for 31 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia, Nevaeh in the early afternoon on 2013/11/13?\", \"31 minutes\"], [\"who did I talk to on 2013/11/13?\", \"Layla, Olivia, Nevaeh\"], [\"Did I talk to Layla, Olivia, Nevaeh on 2013/11/13?\", \"yes\"], [\"Did I talk to anyone on 2013/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5860\", \"logical_representation\": [\"2013/11/13\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/11/13?\", \"11 minutes\"], [\"what did I read on 2013/11/13?\", \"news\"], [\"Did I read on 2013/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/18\": {\"grocery\": {\"eid\": \"e4684\", \"logical_representation\": [\"2013/11/18\", \"I went grocery shopping. I bought some mangos, oranges, guava juice, mineral water, tea, and body lotion, paper towel, toothpaste, mouthwash\", \"mangos, oranges\", \"guava juice, mineral water, tea\", \"body lotion, paper towel, toothpaste, mouthwash\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, oranges, guava juice, mineral water, tea, and body lotion, paper towel, toothpaste, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/11/18?\", \"mangos, oranges, guava juice, mineral water, tea, and body lotion, paper towel, toothpaste, mouthwash\"], [\"what fruits did I buy from the grocery store on 2013/11/18?\", \"mangos, oranges\"], [\"what drinks did I buy from the grocery store on 2013/11/18?\", \"guava juice, mineral water, tea\"], [\"what toiletries did I buy from the grocery store on 2013/11/18?\", \"body lotion, paper towel, toothpaste, mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5876\", \"logical_representation\": [\"2013/11/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/11/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5877\", \"logical_representation\": [\"2013/11/18\", \"Hazel, Lydia\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Hazel, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia during lunch hours on 2013/11/18?\", \"43 minutes\"], [\"who did I talk to on 2013/11/18?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2013/11/18?\", \"yes\"], [\"Did I talk to anyone on 2013/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5878\", \"logical_representation\": [\"2013/11/18\", \"news\", \"24 minutes\"], \"text_template_based\": \"I watched news for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/18?\", \"24 minutes\"], [\"what did I watch on tv on 2013/11/18?\", \"news\"], [\"Did I watch tv on 2013/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/19\": {\"hobbies\": {\"eid\": \"e4685\", \"logical_representation\": [\"2013/11/19\", \"I spent time gardening on 2013/11/19 with Claire.\", \"gardening\", \"Claire\"], \"text_template_based\": \"I spent time gardening on 2013/11/19 with Claire.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Claire?\", \"2013/11/19\"], [\"On 2013/11/19, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2013/11/19?\", \"Claire\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e4687\", \"logical_representation\": [\"2013/11/19\", \"I bought some pineapples, apples, peaches, tea, apple juice, milk, shaving cream from the grocery store. I saw Willow, Benjamin, Jackson, Avery at the grocery store.\", \"pineapples, apples, peaches\", \"tea, apple juice, milk\", \"shaving cream\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I bought some pineapples, apples, peaches, tea, apple juice, milk, shaving cream from the grocery store. I saw Willow, Benjamin, Jackson, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/11/19?\", \"pineapples, apples, peaches, tea, apple juice, milk, and shaving cream\"], [\"what fruits did I buy from the grocery store on 2013/11/19?\", \"pineapples, apples, peaches\"], [\"what drinks did I buy from the grocery store on 2013/11/19?\", \"tea, apple juice, milk\"], [\"what toiletries did I buy from the grocery store on 2013/11/19?\", \"shaving cream\"], [\"who did I see at the grocery store on 2013/11/19?\", \"Willow, Benjamin, Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5879\", \"logical_representation\": [\"2013/11/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/11/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5880\", \"logical_representation\": [\"2013/11/19\", \"lunch\", \"a burger\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Kayden. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/11/19?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2013/11/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5881\", \"logical_representation\": [\"2013/11/19\", \"Kinsley, Hazel\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Kinsley, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel in the early evening on 2013/11/19?\", \"40 minutes\"], [\"who did I talk to on 2013/11/19?\", \"Kinsley, Hazel\"], [\"Did I talk to Kinsley, Hazel on 2013/11/19?\", \"yes\"], [\"Did I talk to anyone on 2013/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5882\", \"logical_representation\": [\"2013/11/19\", \"Rylee\", \"late in the evening\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee late in the evening on 2013/11/19?\", \"54 minutes\"], [\"who did I talk to on 2013/11/19?\", \"Rylee\"], [\"Did I talk to Rylee on 2013/11/19?\", \"yes\"], [\"Did I talk to anyone on 2013/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/22\": {\"hobbies\": {\"eid\": \"e4686\", \"logical_representation\": [\"2013/11/22\", \"I spent some time yoga on 2013/11/22.\", \"yoga\", \"Nora, Nevaeh, Avery\"], \"text_template_based\": \"I spent some time yoga on 2013/11/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2013/11/22\"], [\"On 2013/11/22, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5887\", \"logical_representation\": [\"2013/11/22\", \"lunch\", \"indian food\", \"Jackson, Avery\"], \"text_template_based\": \"I had lunch with Jackson, Avery. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/11/22?\", \"Jackson, Avery\"], [\"what did I eat for lunch on 2013/11/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5888\", \"logical_representation\": [\"2013/11/22\", \"dinner\", \"chinese food\", \"Nevaeh, Nora, Lydia, Piper, Avery, Eva\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/11/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5889\", \"logical_representation\": [\"2013/11/22\", \"Lydia, Eva, Layla\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Lydia, Eva, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Layla during lunch hours on 2013/11/22?\", \"24 minutes\"], [\"who did I talk to on 2013/11/22?\", \"Lydia, Eva, Layla\"], [\"Did I talk to Lydia, Eva, Layla on 2013/11/22?\", \"yes\"], [\"Did I talk to anyone on 2013/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5890\", \"logical_representation\": [\"2013/11/22\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/11/22?\", \"43 minutes\"], [\"what did I read on 2013/11/22?\", \"news\"], [\"Did I read on 2013/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/01\": {\"dating\": {\"eid\": \"e4689\", \"logical_representation\": [\"2013/12/01\", \"Jaxson\", \"a restaurant\"], \"text_template_based\": \"On 2013/12/01, I took Jaxson on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/12/01\", \"Jaxson\"], [\"where did I go for the date on 2013/12/01\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e4691\", \"logical_representation\": [\"2013/12/01\", \"I went grocery shopping. I bought some nectarines, bananas, mango juice, mineral water, and shampoo\", \"nectarines, bananas\", \"mango juice, mineral water\", \"shampoo\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some nectarines, bananas, mango juice, mineral water, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/12/01?\", \"nectarines, bananas, mango juice, mineral water, and shampoo\"], [\"what fruits did I buy from the grocery store on 2013/12/01?\", \"nectarines, bananas\"], [\"what drinks did I buy from the grocery store on 2013/12/01?\", \"mango juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2013/12/01?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5922\", \"logical_representation\": [\"2013/12/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/12/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5923\", \"logical_representation\": [\"2013/12/01\", \"lunch\", \"fish and chips\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had lunch with Jackson, Benjamin. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/12/01?\", \"Jackson, Benjamin\"], [\"what did I eat for lunch on 2013/12/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5924\", \"logical_representation\": [\"2013/12/01\", \"dinner\", \"pasta\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had pasta for dinner with Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/12/01?\", \"Benjamin, Jackson\"], [\"what did I eat for dinner on 2013/12/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5925\", \"logical_representation\": [\"2013/12/01\", \"Lydia\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia during lunch hours on 2013/12/01?\", \"18 minutes\"], [\"who did I talk to on 2013/12/01?\", \"Lydia\"], [\"Did I talk to Lydia on 2013/12/01?\", \"yes\"], [\"Did I talk to anyone on 2013/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5926\", \"logical_representation\": [\"2013/12/01\", \"Lydia\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Lydia for 36 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2013/12/01?\", \"36 minutes\"], [\"who did I talk to on 2013/12/01?\", \"Lydia\"], [\"Did I talk to Lydia on 2013/12/01?\", \"yes\"], [\"Did I talk to anyone on 2013/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5927\", \"logical_representation\": [\"2013/12/01\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/12/01?\", \"29 minutes\"], [\"what did I read on 2013/12/01?\", \"a book\"], [\"Did I read on 2013/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/28\": {\"grocery\": {\"eid\": \"e4690\", \"logical_representation\": [\"2013/11/28\", \"I bought some cherres, guava, mineral water, shampoo from the grocery store. I saw Willow, Benjamin, Jackson, Avery at the grocery store.\", \"cherres, guava\", \"mineral water\", \"shampoo\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I bought some cherres, guava, mineral water, shampoo from the grocery store. I saw Willow, Benjamin, Jackson, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/11/28?\", \"cherres, guava, mineral water, and shampoo\"], [\"what fruits did I buy from the grocery store on 2013/11/28?\", \"cherres, guava\"], [\"what drinks did I buy from the grocery store on 2013/11/28?\", \"mineral water\"], [\"what toiletries did I buy from the grocery store on 2013/11/28?\", \"shampoo\"], [\"who did I see at the grocery store on 2013/11/28?\", \"Willow, Benjamin, Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5908\", \"logical_representation\": [\"2013/11/28\", \"running\"], \"text_template_based\": \"I did running on 2013/11/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5909\", \"logical_representation\": [\"2013/11/28\", \"breakfast\", \"cereals\", \"Benjamin, Willow\"], \"text_template_based\": \"I had cereals for breakfast with Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/11/28?\", \"Benjamin, Willow\"], [\"what did I eat for breakfast on 2013/11/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5910\", \"logical_representation\": [\"2013/11/28\", \"lunch\", \"pasta\", \"Eva, Nora, Avery, Piper, Piper, Layla, Kinsley, Olivia\"], \"text_template_based\": \"I had pasta for lunch with Eva, Nora, Avery, Piper, Piper, Layla, Kinsley, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/11/28?\", \"Eva, Nora, Avery, Piper, Piper, Layla, Kinsley, Olivia\"], [\"what did I eat for lunch on 2013/11/28\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5911\", \"logical_representation\": [\"2013/11/28\", \"dinner\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/11/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5912\", \"logical_representation\": [\"2013/11/28\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/11/28?\", \"19 minutes\"], [\"what did I read on 2013/11/28?\", \"social media\"], [\"Did I read on 2013/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5913\", \"logical_representation\": [\"2013/11/28\", \"a tv series\", \"36 minutes\"], \"text_template_based\": \"I watched a tv series for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/28?\", \"36 minutes\"], [\"what did I watch on tv on 2013/11/28?\", \"a tv series\"], [\"Did I watch tv on 2013/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/07\": {\"dating\": {\"eid\": \"e4692\", \"logical_representation\": [\"2013/12/07\", \"Kinsley\", \"a restaurant\"], \"text_template_based\": \"On 2013/12/07, I took Kinsley on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/12/07\", \"Kinsley\"], [\"where did I go for the date on 2013/12/07\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5946\", \"logical_representation\": [\"2013/12/07\", \"lunch\", \"fish and chips\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/12/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5947\", \"logical_representation\": [\"2013/12/07\", \"dinner\", \"tacos\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/12/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5948\", \"logical_representation\": [\"2013/12/07\", \"Lydia, Olivia, Rylee\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia, Rylee for 38 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Rylee in the late afternoon on 2013/12/07?\", \"38 minutes\"], [\"who did I talk to on 2013/12/07?\", \"Lydia, Olivia, Rylee\"], [\"Did I talk to Lydia, Olivia, Rylee on 2013/12/07?\", \"yes\"], [\"Did I talk to anyone on 2013/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/16\": {\"dating\": {\"eid\": \"e4693\", \"logical_representation\": [\"2013/12/16\", \"Nora\", \"a boba shop\"], \"text_template_based\": \"On 2013/12/16, I took Nora on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/12/16\", \"Nora\"], [\"where did I go for the date on 2013/12/16\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5980\", \"logical_representation\": [\"2013/12/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/12/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5981\", \"logical_representation\": [\"2013/12/16\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Kayden, Emily, Carter, Andrew. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/12/16?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2013/12/16\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5982\", \"logical_representation\": [\"2013/12/16\", \"Layla\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Layla for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2013/12/16?\", \"30 minutes\"], [\"who did I talk to on 2013/12/16?\", \"Layla\"], [\"Did I talk to Layla on 2013/12/16?\", \"yes\"], [\"Did I talk to anyone on 2013/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5983\", \"logical_representation\": [\"2013/12/16\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/12/16?\", \"52 minutes\"], [\"what did I read on 2013/12/16?\", \"social media\"], [\"Did I read on 2013/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5984\", \"logical_representation\": [\"2013/12/16\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/16?\", \"54 minutes\"], [\"what did I watch on tv on 2013/12/16?\", \"a documentary\"], [\"Did I watch tv on 2013/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/13\": {\"grocery\": {\"eid\": \"e4694\", \"logical_representation\": [\"2013/12/13\", \"I bought some pears, apples, pineapple juice, toothbrush, toilet paper, conditioner online.\", \"pears, apples\", \"pineapple juice\", \"toothbrush, toilet paper, conditioner\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I bought some pears, apples, pineapple juice, toothbrush, toilet paper, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/12/13?\", \"pears, apples, pineapple juice, and toothbrush, toilet paper, conditioner\"], [\"what fruits did I buy online on 2013/12/13?\", \"pears, apples\"], [\"what drinks did I buy online on 2013/12/13?\", \"pineapple juice\"], [\"what toiletries did I buy online on 2013/12/13?\", \"toothbrush, toilet paper, conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5967\", \"logical_representation\": [\"2013/12/13\", \"running\"], \"text_template_based\": \"I did running on 2013/12/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/13?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5968\", \"logical_representation\": [\"2013/12/13\", \"lunch\", \"fish and chips\", \"Layla, Olivia, Kinsley, Lydia, Rylee\"], \"text_template_based\": \"I had fish and chips for lunch with Layla, Olivia, Kinsley, Lydia, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/12/13?\", \"Layla, Olivia, Kinsley, Lydia, Rylee\"], [\"what did I eat for lunch on 2013/12/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5969\", \"logical_representation\": [\"2013/12/13\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/12/13?\", \"35 minutes\"], [\"what did I read on 2013/12/13?\", \"social media\"], [\"Did I read on 2013/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5970\", \"logical_representation\": [\"2013/12/13\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/13?\", \"49 minutes\"], [\"what did I watch on tv on 2013/12/13?\", \"news\"], [\"Did I watch tv on 2013/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/20\": {\"grocery\": {\"eid\": \"e4695\", \"logical_representation\": [\"2013/12/20\", \"I went grocery shopping with Emily. I bought some mandarins, raspberries, pineapple juice, coffee, and facial wash, body lotion, toothbrush\", \"mandarins, raspberries\", \"pineapple juice, coffee\", \"facial wash, body lotion, toothbrush\", \"Emily\"], \"text_template_based\": \"I went grocery shopping with Emily. I bought some mandarins, raspberries, pineapple juice, coffee, and facial wash, body lotion, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/12/20?\", \"mandarins, raspberries, pineapple juice, coffee, and facial wash, body lotion, toothbrush\"], [\"what fruits did I buy from the grocery store on 2013/12/20?\", \"mandarins, raspberries\"], [\"what drinks did I buy from the grocery store on 2013/12/20?\", \"pineapple juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2013/12/20?\", \"facial wash, body lotion, toothbrush\"], [\"who was with me at the grocery store on 2013/12/20?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5997\", \"logical_representation\": [\"2013/12/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/12/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5998\", \"logical_representation\": [\"2013/12/20\", \"dinner\", \"pasta\", \"Kinsley, Olivia, Claire, Piper, Lydia, Layla, Nevaeh, Nora, Piper\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/12/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5999\", \"logical_representation\": [\"2013/12/20\", \"Lydia\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Lydia for 25 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2013/12/20?\", \"25 minutes\"], [\"who did I talk to on 2013/12/20?\", \"Lydia\"], [\"Did I talk to Lydia on 2013/12/20?\", \"yes\"], [\"Did I talk to anyone on 2013/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6000\", \"logical_representation\": [\"2013/12/20\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/12/20?\", \"5 minutes\"], [\"what did I read on 2013/12/20?\", \"social media\"], [\"Did I read on 2013/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6001\", \"logical_representation\": [\"2013/12/20\", \"a tv series\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/20?\", \"36 minutes\"], [\"what did I watch on tv on 2013/12/20?\", \"a tv series\"], [\"Did I watch tv on 2013/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/25\": {\"dating\": {\"eid\": \"e4696\", \"logical_representation\": [\"2013/12/25\", \"Luca\", \"a coffee Shop\"], \"text_template_based\": \"On 2013/12/25, I took Luca on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/12/25\", \"Luca\"], [\"where did I go for the date on 2013/12/25\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6021\", \"logical_representation\": [\"2013/12/25\", \"lunch\", \"sushi\", \"Eva, Nevaeh, Piper, Claire, Lydia, Piper, Olivia, Nora, Layla, Hazel, Kinsley, Rylee, Avery\"], \"text_template_based\": \"I had lunch with Eva, Nevaeh, Piper, Claire, Lydia, Piper, Olivia, Nora, Layla, Hazel, Kinsley, Rylee, Avery. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/12/25?\", \"Eva, Nevaeh, Piper, Claire, Lydia, Piper, Olivia, Nora, Layla, Hazel, Kinsley, Rylee, Avery\"], [\"what did I eat for lunch on 2013/12/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6022\", \"logical_representation\": [\"2013/12/25\", \"dinner\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/12/25?\", \"Andrew\"], [\"what did I eat for dinner on 2013/12/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6023\", \"logical_representation\": [\"2013/12/25\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/12/25?\", \"7 minutes\"], [\"what did I read on 2013/12/25?\", \"news\"], [\"Did I read on 2013/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/30\": {\"hobbies\": {\"eid\": \"e4697\", \"logical_representation\": [\"2013/12/30\", \"I spent some time meditation on 2013/12/30.\", \"meditation\", \"Carter\"], \"text_template_based\": \"I spent some time meditation on 2013/12/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2013/12/30\"], [\"On 2013/12/30, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6036\", \"logical_representation\": [\"2013/12/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/12/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6037\", \"logical_representation\": [\"2013/12/30\", \"lunch\", \"sushi\", \"Jackson, Willow\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/12/30\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6038\", \"logical_representation\": [\"2013/12/30\", \"Olivia, Claire, Nora\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Olivia, Claire, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire, Nora during lunch hours on 2013/12/30?\", \"20 minutes\"], [\"who did I talk to on 2013/12/30?\", \"Olivia, Claire, Nora\"], [\"Did I talk to Olivia, Claire, Nora on 2013/12/30?\", \"yes\"], [\"Did I talk to anyone on 2013/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6039\", \"logical_representation\": [\"2013/12/30\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/12/30?\", \"16 minutes\"], [\"what did I read on 2013/12/30?\", \"social media\"], [\"Did I read on 2013/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/26\": {\"grocery\": {\"eid\": \"e4698\", \"logical_representation\": [\"2013/12/26\", \"I bought some apples, oranges, sports drinks, apple juice, mango juice, tea, toothbrush from the grocery store. I saw Andrew at the grocery store.\", \"apples, oranges\", \"sports drinks, apple juice, mango juice, tea\", \"toothbrush\", \"Andrew\"], \"text_template_based\": \"I bought some apples, oranges, sports drinks, apple juice, mango juice, tea, toothbrush from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/12/26?\", \"apples, oranges, sports drinks, apple juice, mango juice, tea, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2013/12/26?\", \"apples, oranges\"], [\"what drinks did I buy from the grocery store on 2013/12/26?\", \"sports drinks, apple juice, mango juice, tea\"], [\"what toiletries did I buy from the grocery store on 2013/12/26?\", \"toothbrush\"], [\"who did I see at the grocery store on 2013/12/26?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6024\", \"logical_representation\": [\"2013/12/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/12/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6025\", \"logical_representation\": [\"2013/12/26\", \"lunch\", \"pasta\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/12/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6026\", \"logical_representation\": [\"2013/12/26\", \"Nevaeh, Avery\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Nevaeh, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery late in the evening on 2013/12/26?\", \"26 minutes\"], [\"who did I talk to on 2013/12/26?\", \"Nevaeh, Avery\"], [\"Did I talk to Nevaeh, Avery on 2013/12/26?\", \"yes\"], [\"Did I talk to anyone on 2013/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6027\", \"logical_representation\": [\"2013/12/26\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/26?\", \"46 minutes\"], [\"what did I watch on tv on 2013/12/26?\", \"a documentary\"], [\"Did I watch tv on 2013/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/28\": {\"grocery\": {\"eid\": \"e4699\", \"logical_representation\": [\"2013/12/28\", \"I went grocery shopping with Rylee, Kinsley, Avery, Claire, Eva, Nevaeh, Nora. I bought some blackberries, pineapples, mandarins, apricots, guava juice, and toothpaste, facial wash, shampoo\", \"blackberries, pineapples, mandarins, apricots\", \"guava juice\", \"toothpaste, facial wash, shampoo\", \"Rylee, Kinsley, Avery, Claire, Eva, Nevaeh, Nora\"], \"text_template_based\": \"I went grocery shopping with Rylee, Kinsley, Avery, Claire, Eva, Nevaeh, Nora. I bought some blackberries, pineapples, mandarins, apricots, guava juice, and toothpaste, facial wash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/12/28?\", \"blackberries, pineapples, mandarins, apricots, guava juice, and toothpaste, facial wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2013/12/28?\", \"blackberries, pineapples, mandarins, apricots\"], [\"what drinks did I buy from the grocery store on 2013/12/28?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2013/12/28?\", \"toothpaste, facial wash, shampoo\"], [\"who was with me at the grocery store on 2013/12/28?\", \"Rylee, Kinsley, Avery, Claire, Eva, Nevaeh, Nora\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6031\", \"logical_representation\": [\"2013/12/28\", \"breakfast\", \"toast and cheese\", \"Piper, Avery, Claire, Layla, Rylee, Olivia, Nevaeh\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/12/28\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6032\", \"logical_representation\": [\"2013/12/28\", \"lunch\", \"steak\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/12/28?\", \"Emily\"], [\"what did I eat for lunch on 2013/12/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6033\", \"logical_representation\": [\"2013/12/28\", \"Lydia, Hazel, Rylee, Nevaeh\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Lydia, Hazel, Rylee, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Rylee, Nevaeh in the late afternoon on 2013/12/28?\", \"19 minutes\"], [\"who did I talk to on 2013/12/28?\", \"Lydia, Hazel, Rylee, Nevaeh\"], [\"Did I talk to Lydia, Hazel, Rylee, Nevaeh on 2013/12/28?\", \"yes\"], [\"Did I talk to anyone on 2013/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/02\": {\"lunch\": {\"eid\": \"e4704\", \"logical_representation\": [\"2013/01/02\", \"lunch\", \"fish and chips\", \"Nora\"], \"text_template_based\": \"I had lunch with Nora. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/01/02?\", \"Nora\"], [\"what did I eat for lunch on 2013/01/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4705\", \"logical_representation\": [\"2013/01/02\", \"dinner\", \"pasta\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner with Emily, Carter. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/01/02?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2013/01/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4706\", \"logical_representation\": [\"2013/01/02\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/02?\", \"25 minutes\"], [\"what did I watch on tv on 2013/01/02?\", \"a movie\"], [\"Did I watch tv on 2013/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/03\": {\"exercise\": {\"eid\": \"e4707\", \"logical_representation\": [\"2013/01/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/01/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4708\", \"logical_representation\": [\"2013/01/03\", \"breakfast\", \"oatmeal\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/01/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4709\", \"logical_representation\": [\"2013/01/03\", \"lunch\", \"steak\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/01/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4710\", \"logical_representation\": [\"2013/01/03\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/01/03?\", \"55 minutes\"], [\"what did I read on 2013/01/03?\", \"a book\"], [\"Did I read on 2013/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/04\": {\"lunch\": {\"eid\": \"e4711\", \"logical_representation\": [\"2013/01/04\", \"lunch\", \"chinese food\", \"Benjamin\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/01/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4712\", \"logical_representation\": [\"2013/01/04\", \"Layla\", \"in the morning\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2013/01/04?\", \"28 minutes\"], [\"who did I talk to on 2013/01/04?\", \"Layla\"], [\"Did I talk to Layla on 2013/01/04?\", \"yes\"], [\"Did I talk to anyone on 2013/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4713\", \"logical_representation\": [\"2013/01/04\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/04?\", \"48 minutes\"], [\"what did I watch on tv on 2013/01/04?\", \"a tv series\"], [\"Did I watch tv on 2013/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/05\": {\"exercise\": {\"eid\": \"e4714\", \"logical_representation\": [\"2013/01/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/01/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4715\", \"logical_representation\": [\"2013/01/05\", \"a documentary\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/05?\", \"38 minutes\"], [\"what did I watch on tv on 2013/01/05?\", \"a documentary\"], [\"Did I watch tv on 2013/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/07\": {\"exercise\": {\"eid\": \"e4720\", \"logical_representation\": [\"2013/01/07\", \"running\"], \"text_template_based\": \"I did running on 2013/01/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/07?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4721\", \"logical_representation\": [\"2013/01/07\", \"Layla\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Layla for 46 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2013/01/07?\", \"46 minutes\"], [\"who did I talk to on 2013/01/07?\", \"Layla\"], [\"Did I talk to Layla on 2013/01/07?\", \"yes\"], [\"Did I talk to anyone on 2013/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/09\": {\"exercise\": {\"eid\": \"e4724\", \"logical_representation\": [\"2013/01/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/01/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4725\", \"logical_representation\": [\"2013/01/09\", \"breakfast\", \"cereals\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/01/09?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for breakfast on 2013/01/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4726\", \"logical_representation\": [\"2013/01/09\", \"dinner\", \"sandwich\", \"Piper, Nevaeh, Claire, Piper, Lydia\"], \"text_template_based\": \"I had dinner with Piper, Nevaeh, Claire, Piper, Lydia. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/01/09?\", \"Piper, Nevaeh, Claire, Piper, Lydia\"], [\"what did I eat for dinner on 2013/01/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4727\", \"logical_representation\": [\"2013/01/09\", \"Layla, Avery, Claire, Hazel\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I talked to Layla, Avery, Claire, Hazel for 52 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Claire, Hazel in the morning on 2013/01/09?\", \"52 minutes\"], [\"who did I talk to on 2013/01/09?\", \"Layla, Avery, Claire, Hazel\"], [\"Did I talk to Layla, Avery, Claire, Hazel on 2013/01/09?\", \"yes\"], [\"Did I talk to anyone on 2013/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4728\", \"logical_representation\": [\"2013/01/09\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/01/09?\", \"41 minutes\"], [\"what did I read on 2013/01/09?\", \"a book\"], [\"Did I read on 2013/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/10\": {\"exercise\": {\"eid\": \"e4729\", \"logical_representation\": [\"2013/01/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/01/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4730\", \"logical_representation\": [\"2013/01/10\", \"breakfast\", \"toast and cheese\", \"Nora, Eva, Lydia, Kinsley, Avery, Claire, Hazel, Nevaeh, Olivia, Layla, Piper, Piper, Rylee\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/01/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4731\", \"logical_representation\": [\"2013/01/10\", \"dinner\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/01/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4732\", \"logical_representation\": [\"2013/01/10\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I watched a tv series for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/10?\", \"10 minutes\"], [\"what did I watch on tv on 2013/01/10?\", \"a tv series\"], [\"Did I watch tv on 2013/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/11\": {\"lunch\": {\"eid\": \"e4733\", \"logical_representation\": [\"2013/01/11\", \"lunch\", \"sushi\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Carter, Kayden, Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/01/11?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2013/01/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4734\", \"logical_representation\": [\"2013/01/11\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/01/11?\", \"32 minutes\"], [\"what did I read on 2013/01/11?\", \"a book\"], [\"Did I read on 2013/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4735\", \"logical_representation\": [\"2013/01/11\", \"news\", \"44 minutes\"], \"text_template_based\": \"I watched news for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/11?\", \"44 minutes\"], [\"what did I watch on tv on 2013/01/11?\", \"news\"], [\"Did I watch tv on 2013/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/12\": {\"breakfast\": {\"eid\": \"e4736\", \"logical_representation\": [\"2013/01/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/01/12?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2013/01/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4737\", \"logical_representation\": [\"2013/01/12\", \"Piper, Nevaeh, Claire\", \"late in the evening\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Piper, Nevaeh, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Claire late in the evening on 2013/01/12?\", \"27 minutes\"], [\"who did I talk to on 2013/01/12?\", \"Piper, Nevaeh, Claire\"], [\"Did I talk to Piper, Nevaeh, Claire on 2013/01/12?\", \"yes\"], [\"Did I talk to anyone on 2013/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4738\", \"logical_representation\": [\"2013/01/12\", \"Avery\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2013/01/12?\", \"29 minutes\"], [\"who did I talk to on 2013/01/12?\", \"Avery\"], [\"Did I talk to Avery on 2013/01/12?\", \"yes\"], [\"Did I talk to anyone on 2013/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4739\", \"logical_representation\": [\"2013/01/12\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/01/12?\", \"54 minutes\"], [\"what did I read on 2013/01/12?\", \"social media\"], [\"Did I read on 2013/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/14\": {\"breakfast\": {\"eid\": \"e4745\", \"logical_representation\": [\"2013/01/14\", \"breakfast\", \"cereals\", \"Layla, Rylee, Piper\"], \"text_template_based\": \"I had breakfast with Layla, Rylee, Piper. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/01/14?\", \"Layla, Rylee, Piper\"], [\"what did I eat for breakfast on 2013/01/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4746\", \"logical_representation\": [\"2013/01/14\", \"lunch\", \"indian food\", \"Kayden, Andrew\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/01/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4747\", \"logical_representation\": [\"2013/01/14\", \"dinner\", \"sushi\", \"Piper, Layla, Hazel, Piper, Claire, Olivia\"], \"text_template_based\": \"I had dinner with Piper, Layla, Hazel, Piper, Claire, Olivia. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/01/14?\", \"Piper, Layla, Hazel, Piper, Claire, Olivia\"], [\"what did I eat for dinner on 2013/01/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4748\", \"logical_representation\": [\"2013/01/14\", \"Hazel, Avery\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Hazel, Avery for 39 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery in the early afternoon on 2013/01/14?\", \"39 minutes\"], [\"who did I talk to on 2013/01/14?\", \"Hazel, Avery\"], [\"Did I talk to Hazel, Avery on 2013/01/14?\", \"yes\"], [\"Did I talk to anyone on 2013/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4749\", \"logical_representation\": [\"2013/01/14\", \"Nevaeh, Piper, Avery\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Avery for 19 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Avery in the early afternoon on 2013/01/14?\", \"19 minutes\"], [\"who did I talk to on 2013/01/14?\", \"Nevaeh, Piper, Avery\"], [\"Did I talk to Nevaeh, Piper, Avery on 2013/01/14?\", \"yes\"], [\"Did I talk to anyone on 2013/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4750\", \"logical_representation\": [\"2013/01/14\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/01/14?\", \"55 minutes\"], [\"what did I read on 2013/01/14?\", \"a book\"], [\"Did I read on 2013/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/15\": {\"breakfast\": {\"eid\": \"e4751\", \"logical_representation\": [\"2013/01/15\", \"breakfast\", \"oatmeal\", \"Willow\"], \"text_template_based\": \"I had breakfast with Willow. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/01/15?\", \"Willow\"], [\"what did I eat for breakfast on 2013/01/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4752\", \"logical_representation\": [\"2013/01/15\", \"dinner\", \"fish and chips\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had fish and chips for dinner with Kayden, Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/01/15?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2013/01/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4753\", \"logical_representation\": [\"2013/01/15\", \"Lydia, Olivia\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia for 30 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia in the late afternoon on 2013/01/15?\", \"30 minutes\"], [\"who did I talk to on 2013/01/15?\", \"Lydia, Olivia\"], [\"Did I talk to Lydia, Olivia on 2013/01/15?\", \"yes\"], [\"Did I talk to anyone on 2013/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/16\": {\"chat0\": {\"eid\": \"e4754\", \"logical_representation\": [\"2013/01/16\", \"Claire, Rylee\", \"in the early evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Claire, Rylee for 55 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee in the early evening on 2013/01/16?\", \"55 minutes\"], [\"who did I talk to on 2013/01/16?\", \"Claire, Rylee\"], [\"Did I talk to Claire, Rylee on 2013/01/16?\", \"yes\"], [\"Did I talk to anyone on 2013/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4755\", \"logical_representation\": [\"2013/01/16\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/01/16?\", \"32 minutes\"], [\"what did I read on 2013/01/16?\", \"a book\"], [\"Did I read on 2013/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4756\", \"logical_representation\": [\"2013/01/16\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/16?\", \"37 minutes\"], [\"what did I watch on tv on 2013/01/16?\", \"a movie\"], [\"Did I watch tv on 2013/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/17\": {\"exercise\": {\"eid\": \"e4757\", \"logical_representation\": [\"2013/01/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/01/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4758\", \"logical_representation\": [\"2013/01/17\", \"breakfast\", \"pancakes\", \"Willow\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/01/17\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4759\", \"logical_representation\": [\"2013/01/17\", \"Claire, Piper, Eva, Hazel\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Claire, Piper, Eva, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Eva, Hazel during lunch hours on 2013/01/17?\", \"8 minutes\"], [\"who did I talk to on 2013/01/17?\", \"Claire, Piper, Eva, Hazel\"], [\"Did I talk to Claire, Piper, Eva, Hazel on 2013/01/17?\", \"yes\"], [\"Did I talk to anyone on 2013/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4760\", \"logical_representation\": [\"2013/01/17\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/01/17?\", \"9 minutes\"], [\"what did I read on 2013/01/17?\", \"social media\"], [\"Did I read on 2013/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4761\", \"logical_representation\": [\"2013/01/17\", \"a tv series\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/17?\", \"14 minutes\"], [\"what did I watch on tv on 2013/01/17?\", \"a tv series\"], [\"Did I watch tv on 2013/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/18\": {\"exercise\": {\"eid\": \"e4762\", \"logical_representation\": [\"2013/01/18\", \"running\"], \"text_template_based\": \"I did running on 2013/01/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/18?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4763\", \"logical_representation\": [\"2013/01/18\", \"dinner\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/01/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4764\", \"logical_representation\": [\"2013/01/18\", \"Piper, Hazel\", \"late in the evening\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Piper, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel late in the evening on 2013/01/18?\", \"54 minutes\"], [\"who did I talk to on 2013/01/18?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2013/01/18?\", \"yes\"], [\"Did I talk to anyone on 2013/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/19\": {\"breakfast\": {\"eid\": \"e4765\", \"logical_representation\": [\"2013/01/19\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Carter. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/01/19?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for breakfast on 2013/01/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4766\", \"logical_representation\": [\"2013/01/19\", \"lunch\", \"pasta\", \"Avery, Piper, Nevaeh, Olivia, Hazel, Rylee, Eva\"], \"text_template_based\": \"I had pasta for lunch with Avery, Piper, Nevaeh, Olivia, Hazel, Rylee, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/01/19?\", \"Avery, Piper, Nevaeh, Olivia, Hazel, Rylee, Eva\"], [\"what did I eat for lunch on 2013/01/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4767\", \"logical_representation\": [\"2013/01/19\", \"dinner\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/01/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4768\", \"logical_representation\": [\"2013/01/19\", \"Rylee, Avery, Piper\", \"late in the evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery, Piper for 19 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery, Piper late in the evening on 2013/01/19?\", \"19 minutes\"], [\"who did I talk to on 2013/01/19?\", \"Rylee, Avery, Piper\"], [\"Did I talk to Rylee, Avery, Piper on 2013/01/19?\", \"yes\"], [\"Did I talk to anyone on 2013/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4769\", \"logical_representation\": [\"2013/01/19\", \"Eva, Olivia, Nora\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Eva, Olivia, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Nora during lunch hours on 2013/01/19?\", \"43 minutes\"], [\"who did I talk to on 2013/01/19?\", \"Eva, Olivia, Nora\"], [\"Did I talk to Eva, Olivia, Nora on 2013/01/19?\", \"yes\"], [\"Did I talk to anyone on 2013/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/28\": {\"breakfast\": {\"eid\": \"e4797\", \"logical_representation\": [\"2013/01/28\", \"breakfast\", \"pancakes\", \"Claire, Rylee, Nora, Lydia, Eva, Hazel, Piper, Olivia, Kinsley, Piper, Avery\"], \"text_template_based\": \"I had pancakes for breakfast with Claire, Rylee, Nora, Lydia, Eva, Hazel, Piper, Olivia, Kinsley, Piper, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/01/28?\", \"Claire, Rylee, Nora, Lydia, Eva, Hazel, Piper, Olivia, Kinsley, Piper, Avery\"], [\"what did I eat for breakfast on 2013/01/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4798\", \"logical_representation\": [\"2013/01/28\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/01/28?\", \"Emily\"], [\"what did I eat for dinner on 2013/01/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4799\", \"logical_representation\": [\"2013/01/28\", \"Piper, Lydia, Layla, Kinsley\", \"during lunch hours\", \"5 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Layla, Kinsley for 5 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Layla, Kinsley during lunch hours on 2013/01/28?\", \"5 minutes\"], [\"who did I talk to on 2013/01/28?\", \"Piper, Lydia, Layla, Kinsley\"], [\"Did I talk to Piper, Lydia, Layla, Kinsley on 2013/01/28?\", \"yes\"], [\"Did I talk to anyone on 2013/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4800\", \"logical_representation\": [\"2013/01/28\", \"Layla, Eva, Nevaeh\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Layla, Eva, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Nevaeh in the early evening on 2013/01/28?\", \"9 minutes\"], [\"who did I talk to on 2013/01/28?\", \"Layla, Eva, Nevaeh\"], [\"Did I talk to Layla, Eva, Nevaeh on 2013/01/28?\", \"yes\"], [\"Did I talk to anyone on 2013/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4801\", \"logical_representation\": [\"2013/01/28\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/01/28?\", \"9 minutes\"], [\"what did I read on 2013/01/28?\", \"social media\"], [\"Did I read on 2013/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/30\": {\"exercise\": {\"eid\": \"e4804\", \"logical_representation\": [\"2013/01/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/01/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4805\", \"logical_representation\": [\"2013/01/30\", \"breakfast\", \"pancakes\", \"Benjamin\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/01/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4806\", \"logical_representation\": [\"2013/01/30\", \"lunch\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/01/30?\", \"Kayden\"], [\"what did I eat for lunch on 2013/01/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4807\", \"logical_representation\": [\"2013/01/30\", \"Olivia\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2013/01/30?\", \"27 minutes\"], [\"who did I talk to on 2013/01/30?\", \"Olivia\"], [\"Did I talk to Olivia on 2013/01/30?\", \"yes\"], [\"Did I talk to anyone on 2013/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/01\": {\"exercise\": {\"eid\": \"e4815\", \"logical_representation\": [\"2013/02/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/02/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2013/02/02\": {\"breakfast\": {\"eid\": \"e4816\", \"logical_representation\": [\"2013/02/02\", \"breakfast\", \"toast and cheese\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/02/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2013/02/03\": {\"breakfast\": {\"eid\": \"e4817\", \"logical_representation\": [\"2013/02/03\", \"breakfast\", \"cereals\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I had breakfast with Jackson, Willow, Benjamin, Avery. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/02/03?\", \"Jackson, Willow, Benjamin, Avery\"], [\"what did I eat for breakfast on 2013/02/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4818\", \"logical_representation\": [\"2013/02/03\", \"lunch\", \"tacos\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had tacos for lunch with Jackson, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/02/03?\", \"Jackson, Avery, Willow\"], [\"what did I eat for lunch on 2013/02/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4819\", \"logical_representation\": [\"2013/02/03\", \"Rylee, Kinsley\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Rylee, Kinsley for 26 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley in the early afternoon on 2013/02/03?\", \"26 minutes\"], [\"who did I talk to on 2013/02/03?\", \"Rylee, Kinsley\"], [\"Did I talk to Rylee, Kinsley on 2013/02/03?\", \"yes\"], [\"Did I talk to anyone on 2013/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4820\", \"logical_representation\": [\"2013/02/03\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/02/03?\", \"5 minutes\"], [\"what did I read on 2013/02/03?\", \"social media\"], [\"Did I read on 2013/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/04\": {\"read\": {\"eid\": \"e4821\", \"logical_representation\": [\"2013/02/04\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/02/04?\", \"22 minutes\"], [\"what did I read on 2013/02/04?\", \"news\"], [\"Did I read on 2013/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4822\", \"logical_representation\": [\"2013/02/04\", \"a documentary\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/04?\", \"31 minutes\"], [\"what did I watch on tv on 2013/02/04?\", \"a documentary\"], [\"Did I watch tv on 2013/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/05\": {\"exercise\": {\"eid\": \"e4823\", \"logical_representation\": [\"2013/02/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/02/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2013/02/06\": {\"breakfast\": {\"eid\": \"e4824\", \"logical_representation\": [\"2013/02/06\", \"breakfast\", \"pancakes\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/02/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4825\", \"logical_representation\": [\"2013/02/06\", \"dinner\", \"indian food\", \"Avery\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/02/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4826\", \"logical_representation\": [\"2013/02/06\", \"Layla\", \"late in the evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2013/02/06?\", \"51 minutes\"], [\"who did I talk to on 2013/02/06?\", \"Layla\"], [\"Did I talk to Layla on 2013/02/06?\", \"yes\"], [\"Did I talk to anyone on 2013/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/07\": {\"lunch\": {\"eid\": \"e4827\", \"logical_representation\": [\"2013/02/07\", \"lunch\", \"pasta\", \"Hazel, Layla, Kinsley, Olivia, Piper, Eva\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/02/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4828\", \"logical_representation\": [\"2013/02/07\", \"Claire, Layla, Olivia\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Claire, Layla, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Olivia in the late afternoon on 2013/02/07?\", \"6 minutes\"], [\"who did I talk to on 2013/02/07?\", \"Claire, Layla, Olivia\"], [\"Did I talk to Claire, Layla, Olivia on 2013/02/07?\", \"yes\"], [\"Did I talk to anyone on 2013/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4829\", \"logical_representation\": [\"2013/02/07\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/02/07?\", \"33 minutes\"], [\"what did I read on 2013/02/07?\", \"a book\"], [\"Did I read on 2013/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4830\", \"logical_representation\": [\"2013/02/07\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I watched a tv series for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/07?\", \"6 minutes\"], [\"what did I watch on tv on 2013/02/07?\", \"a tv series\"], [\"Did I watch tv on 2013/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/08\": {\"breakfast\": {\"eid\": \"e4831\", \"logical_representation\": [\"2013/02/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/02/08?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2013/02/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4832\", \"logical_representation\": [\"2013/02/08\", \"lunch\", \"sushi\", \"Carter, Emily\"], \"text_template_based\": \"I had sushi for lunch with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/02/08?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2013/02/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4833\", \"logical_representation\": [\"2013/02/08\", \"Rylee, Nevaeh, Avery, Lydia\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh, Avery, Lydia for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Avery, Lydia late in the evening on 2013/02/08?\", \"37 minutes\"], [\"who did I talk to on 2013/02/08?\", \"Rylee, Nevaeh, Avery, Lydia\"], [\"Did I talk to Rylee, Nevaeh, Avery, Lydia on 2013/02/08?\", \"yes\"], [\"Did I talk to anyone on 2013/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4834\", \"logical_representation\": [\"2013/02/08\", \"Layla\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2013/02/08?\", \"29 minutes\"], [\"who did I talk to on 2013/02/08?\", \"Layla\"], [\"Did I talk to Layla on 2013/02/08?\", \"yes\"], [\"Did I talk to anyone on 2013/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4835\", \"logical_representation\": [\"2013/02/08\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/08?\", \"7 minutes\"], [\"what did I watch on tv on 2013/02/08?\", \"a movie\"], [\"Did I watch tv on 2013/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/11\": {\"exercise\": {\"eid\": \"e4842\", \"logical_representation\": [\"2013/02/11\", \"running\"], \"text_template_based\": \"I did running on 2013/02/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4843\", \"logical_representation\": [\"2013/02/11\", \"lunch\", \"pasta\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had pasta for lunch with Kayden, Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/02/11?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for lunch on 2013/02/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4844\", \"logical_representation\": [\"2013/02/11\", \"dinner\", \"a burger\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/02/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4845\", \"logical_representation\": [\"2013/02/11\", \"Lydia, Layla, Kinsley, Nora\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Lydia, Layla, Kinsley, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla, Kinsley, Nora in the early afternoon on 2013/02/11?\", \"13 minutes\"], [\"who did I talk to on 2013/02/11?\", \"Lydia, Layla, Kinsley, Nora\"], [\"Did I talk to Lydia, Layla, Kinsley, Nora on 2013/02/11?\", \"yes\"], [\"Did I talk to anyone on 2013/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4846\", \"logical_representation\": [\"2013/02/11\", \"Claire, Piper, Piper\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Claire, Piper, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Piper late in the evening on 2013/02/11?\", \"32 minutes\"], [\"who did I talk to on 2013/02/11?\", \"Claire, Piper, Piper\"], [\"Did I talk to Claire, Piper, Piper on 2013/02/11?\", \"yes\"], [\"Did I talk to anyone on 2013/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/13\": {\"exercise\": {\"eid\": \"e4851\", \"logical_representation\": [\"2013/02/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/02/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4852\", \"logical_representation\": [\"2013/02/13\", \"breakfast\", \"oatmeal\", \"Claire, Eva\"], \"text_template_based\": \"I had oatmeal for breakfast with Claire, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/02/13?\", \"Claire, Eva\"], [\"what did I eat for breakfast on 2013/02/13\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4853\", \"logical_representation\": [\"2013/02/13\", \"lunch\", \"pasta\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/02/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4854\", \"logical_representation\": [\"2013/02/13\", \"a documentary\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/13?\", \"18 minutes\"], [\"what did I watch on tv on 2013/02/13?\", \"a documentary\"], [\"Did I watch tv on 2013/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/14\": {\"breakfast\": {\"eid\": \"e4855\", \"logical_representation\": [\"2013/02/14\", \"breakfast\", \"cereals\", \"Nora, Olivia, Eva, Hazel, Claire\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/02/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4856\", \"logical_representation\": [\"2013/02/14\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/02/14?\", \"26 minutes\"], [\"what did I read on 2013/02/14?\", \"social media\"], [\"Did I read on 2013/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4857\", \"logical_representation\": [\"2013/02/14\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/14?\", \"43 minutes\"], [\"what did I watch on tv on 2013/02/14?\", \"news\"], [\"Did I watch tv on 2013/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/15\": {\"breakfast\": {\"eid\": \"e4858\", \"logical_representation\": [\"2013/02/15\", \"breakfast\", \"cereals\", \"Willow, Jackson\"], \"text_template_based\": \"I had cereals for breakfast with Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/02/15?\", \"Willow, Jackson\"], [\"what did I eat for breakfast on 2013/02/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4859\", \"logical_representation\": [\"2013/02/15\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/02/15?\", \"34 minutes\"], [\"what did I read on 2013/02/15?\", \"a book\"], [\"Did I read on 2013/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/16\": {\"chat0\": {\"eid\": \"e4860\", \"logical_representation\": [\"2013/02/16\", \"Piper\", \"in the late afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Piper for 16 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2013/02/16?\", \"16 minutes\"], [\"who did I talk to on 2013/02/16?\", \"Piper\"], [\"Did I talk to Piper on 2013/02/16?\", \"yes\"], [\"Did I talk to anyone on 2013/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4861\", \"logical_representation\": [\"2013/02/16\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/02/16?\", \"49 minutes\"], [\"what did I read on 2013/02/16?\", \"news\"], [\"Did I read on 2013/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4862\", \"logical_representation\": [\"2013/02/16\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/16?\", \"54 minutes\"], [\"what did I watch on tv on 2013/02/16?\", \"a tv series\"], [\"Did I watch tv on 2013/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/17\": {\"breakfast\": {\"eid\": \"e4863\", \"logical_representation\": [\"2013/02/17\", \"breakfast\", \"toast and cheese\", \"Layla, Piper, Avery, Claire, Hazel, Piper\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/02/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4864\", \"logical_representation\": [\"2013/02/17\", \"lunch\", \"pasta\", \"Willow\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/02/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4865\", \"logical_representation\": [\"2013/02/17\", \"Avery, Kinsley, Rylee\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I talked to Avery, Kinsley, Rylee for 43 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley, Rylee during lunch hours on 2013/02/17?\", \"43 minutes\"], [\"who did I talk to on 2013/02/17?\", \"Avery, Kinsley, Rylee\"], [\"Did I talk to Avery, Kinsley, Rylee on 2013/02/17?\", \"yes\"], [\"Did I talk to anyone on 2013/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4866\", \"logical_representation\": [\"2013/02/17\", \"Piper, Eva, Hazel\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Piper, Eva, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Hazel in the early evening on 2013/02/17?\", \"7 minutes\"], [\"who did I talk to on 2013/02/17?\", \"Piper, Eva, Hazel\"], [\"Did I talk to Piper, Eva, Hazel on 2013/02/17?\", \"yes\"], [\"Did I talk to anyone on 2013/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4867\", \"logical_representation\": [\"2013/02/17\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/02/17?\", \"30 minutes\"], [\"what did I read on 2013/02/17?\", \"a book\"], [\"Did I read on 2013/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4868\", \"logical_representation\": [\"2013/02/17\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/17?\", \"10 minutes\"], [\"what did I watch on tv on 2013/02/17?\", \"a movie\"], [\"Did I watch tv on 2013/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/19\": {\"exercise\": {\"eid\": \"e4872\", \"logical_representation\": [\"2013/02/19\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/02/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/19?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4873\", \"logical_representation\": [\"2013/02/19\", \"breakfast\", \"oatmeal\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Benjamin, Avery, Willow. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/02/19?\", \"Jackson, Benjamin, Avery, Willow\"], [\"what did I eat for breakfast on 2013/02/19\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4874\", \"logical_representation\": [\"2013/02/19\", \"dinner\", \"steak\", \"Nora, Olivia, Layla, Avery, Rylee, Kinsley, Nevaeh, Eva, Lydia, Claire, Piper\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/02/19\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4875\", \"logical_representation\": [\"2013/02/19\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/02/19?\", \"55 minutes\"], [\"what did I read on 2013/02/19?\", \"social media\"], [\"Did I read on 2013/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/20\": {\"exercise\": {\"eid\": \"e4876\", \"logical_representation\": [\"2013/02/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/02/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4877\", \"logical_representation\": [\"2013/02/20\", \"lunch\", \"indian food\", \"Carter, Emily\"], \"text_template_based\": \"I had indian food for lunch with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/02/20?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2013/02/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4878\", \"logical_representation\": [\"2013/02/20\", \"Olivia, Lydia, Nevaeh\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Olivia, Lydia, Nevaeh for 24 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia, Nevaeh late in the evening on 2013/02/20?\", \"24 minutes\"], [\"who did I talk to on 2013/02/20?\", \"Olivia, Lydia, Nevaeh\"], [\"Did I talk to Olivia, Lydia, Nevaeh on 2013/02/20?\", \"yes\"], [\"Did I talk to anyone on 2013/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/21\": {\"exercise\": {\"eid\": \"e4879\", \"logical_representation\": [\"2013/02/21\", \"biking\"], \"text_template_based\": \"I did biking on 2013/02/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4880\", \"logical_representation\": [\"2013/02/21\", \"dinner\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/02/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4881\", \"logical_representation\": [\"2013/02/21\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/02/21?\", \"18 minutes\"], [\"what did I read on 2013/02/21?\", \"news\"], [\"Did I read on 2013/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/22\": {\"exercise\": {\"eid\": \"e4882\", \"logical_representation\": [\"2013/02/22\", \"running\"], \"text_template_based\": \"I did running on 2013/02/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4883\", \"logical_representation\": [\"2013/02/22\", \"breakfast\", \"oatmeal\", \"Olivia, Lydia, Piper, Avery, Nevaeh, Piper, Rylee\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/02/22\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4884\", \"logical_representation\": [\"2013/02/22\", \"dinner\", \"tacos\", \"Willow, Avery\"], \"text_template_based\": \"I had tacos for dinner with Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/02/22?\", \"Willow, Avery\"], [\"what did I eat for dinner on 2013/02/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4885\", \"logical_representation\": [\"2013/02/22\", \"Lydia\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Lydia for 26 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2013/02/22?\", \"26 minutes\"], [\"who did I talk to on 2013/02/22?\", \"Lydia\"], [\"Did I talk to Lydia on 2013/02/22?\", \"yes\"], [\"Did I talk to anyone on 2013/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4886\", \"logical_representation\": [\"2013/02/22\", \"a movie\", \"27 minutes\"], \"text_template_based\": \"I watched a movie for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/22?\", \"27 minutes\"], [\"what did I watch on tv on 2013/02/22?\", \"a movie\"], [\"Did I watch tv on 2013/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/23\": {\"exercise\": {\"eid\": \"e4887\", \"logical_representation\": [\"2013/02/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/02/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4888\", \"logical_representation\": [\"2013/02/23\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/02/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4889\", \"logical_representation\": [\"2013/02/23\", \"dinner\", \"pasta\", \"Eva, Avery, Piper, Kinsley, Lydia\"], \"text_template_based\": \"I had pasta for dinner with Eva, Avery, Piper, Kinsley, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/02/23?\", \"Eva, Avery, Piper, Kinsley, Lydia\"], [\"what did I eat for dinner on 2013/02/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4890\", \"logical_representation\": [\"2013/02/23\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/02/23?\", \"27 minutes\"], [\"what did I read on 2013/02/23?\", \"a book\"], [\"Did I read on 2013/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/24\": {\"breakfast\": {\"eid\": \"e4891\", \"logical_representation\": [\"2013/02/24\", \"breakfast\", \"oatmeal\", \"Benjamin, Avery\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/02/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4892\", \"logical_representation\": [\"2013/02/24\", \"lunch\", \"indian food\", \"Nevaeh, Kinsley, Rylee, Layla, Eva, Lydia, Olivia, Nora, Hazel\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/02/24\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4893\", \"logical_representation\": [\"2013/02/24\", \"Eva, Rylee\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Eva, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee during lunch hours on 2013/02/24?\", \"13 minutes\"], [\"who did I talk to on 2013/02/24?\", \"Eva, Rylee\"], [\"Did I talk to Eva, Rylee on 2013/02/24?\", \"yes\"], [\"Did I talk to anyone on 2013/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/25\": {\"exercise\": {\"eid\": \"e4894\", \"logical_representation\": [\"2013/02/25\", \"biking\"], \"text_template_based\": \"I did biking on 2013/02/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/25?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4895\", \"logical_representation\": [\"2013/02/25\", \"breakfast\", \"cereals\", \"Nora\"], \"text_template_based\": \"I had cereals for breakfast with Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/02/25?\", \"Nora\"], [\"what did I eat for breakfast on 2013/02/25\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4896\", \"logical_representation\": [\"2013/02/25\", \"dinner\", \"chinese food\", \"Olivia, Nora, Claire\"], \"text_template_based\": \"I had chinese food for dinner with Olivia, Nora, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/02/25?\", \"Olivia, Nora, Claire\"], [\"what did I eat for dinner on 2013/02/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4897\", \"logical_representation\": [\"2013/02/25\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/02/25?\", \"34 minutes\"], [\"what did I read on 2013/02/25?\", \"news\"], [\"Did I read on 2013/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/26\": {\"breakfast\": {\"eid\": \"e4898\", \"logical_representation\": [\"2013/02/26\", \"breakfast\", \"oatmeal\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/02/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4899\", \"logical_representation\": [\"2013/02/26\", \"lunch\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/02/26?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2013/02/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4900\", \"logical_representation\": [\"2013/02/26\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/26?\", \"33 minutes\"], [\"what did I watch on tv on 2013/02/26?\", \"a tv series\"], [\"Did I watch tv on 2013/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/27\": {\"breakfast\": {\"eid\": \"e4901\", \"logical_representation\": [\"2013/02/27\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/02/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4902\", \"logical_representation\": [\"2013/02/27\", \"lunch\", \"sushi\", \"Nevaeh, Olivia, Avery, Piper, Lydia, Hazel, Piper, Rylee\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/02/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4903\", \"logical_representation\": [\"2013/02/27\", \"Layla, Piper, Piper, Hazel\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Layla, Piper, Piper, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Piper, Hazel during lunch hours on 2013/02/27?\", \"46 minutes\"], [\"who did I talk to on 2013/02/27?\", \"Layla, Piper, Piper, Hazel\"], [\"Did I talk to Layla, Piper, Piper, Hazel on 2013/02/27?\", \"yes\"], [\"Did I talk to anyone on 2013/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4904\", \"logical_representation\": [\"2013/02/27\", \"a book\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/02/27?\", \"40 minutes\"], [\"what did I read on 2013/02/27?\", \"a book\"], [\"Did I read on 2013/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/28\": {\"exercise\": {\"eid\": \"e4905\", \"logical_representation\": [\"2013/02/28\", \"biking\"], \"text_template_based\": \"I did biking on 2013/02/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4906\", \"logical_representation\": [\"2013/02/28\", \"lunch\", \"tacos\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had tacos for lunch with Kayden, Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/02/28?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for lunch on 2013/02/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4907\", \"logical_representation\": [\"2013/02/28\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I watched a movie for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/28?\", \"5 minutes\"], [\"what did I watch on tv on 2013/02/28?\", \"a movie\"], [\"Did I watch tv on 2013/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/02\": {\"exercise\": {\"eid\": \"e4910\", \"logical_representation\": [\"2013/03/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/03/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4911\", \"logical_representation\": [\"2013/03/02\", \"breakfast\", \"pancakes\", \"Eva, Hazel, Nora, Lydia, Rylee, Piper, Avery, Kinsley, Claire, Piper, Layla, Nevaeh, Olivia\"], \"text_template_based\": \"I had pancakes for breakfast with Eva, Hazel, Nora, Lydia, Rylee, Piper, Avery, Kinsley, Claire, Piper, Layla, Nevaeh, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/03/02?\", \"Eva, Hazel, Nora, Lydia, Rylee, Piper, Avery, Kinsley, Claire, Piper, Layla, Nevaeh, Olivia\"], [\"what did I eat for breakfast on 2013/03/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4912\", \"logical_representation\": [\"2013/03/02\", \"lunch\", \"sushi\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had lunch with Jackson, Avery, Benjamin. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/03/02?\", \"Jackson, Avery, Benjamin\"], [\"what did I eat for lunch on 2013/03/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4913\", \"logical_representation\": [\"2013/03/02\", \"Olivia, Rylee\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Olivia, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee in the early evening on 2013/03/02?\", \"12 minutes\"], [\"who did I talk to on 2013/03/02?\", \"Olivia, Rylee\"], [\"Did I talk to Olivia, Rylee on 2013/03/02?\", \"yes\"], [\"Did I talk to anyone on 2013/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4914\", \"logical_representation\": [\"2013/03/02\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/03/02?\", \"20 minutes\"], [\"what did I read on 2013/03/02?\", \"a book\"], [\"Did I read on 2013/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/03\": {\"breakfast\": {\"eid\": \"e4915\", \"logical_representation\": [\"2013/03/03\", \"breakfast\", \"cereals\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4916\", \"logical_representation\": [\"2013/03/03\", \"dinner\", \"sandwich\", \"Carter, Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4917\", \"logical_representation\": [\"2013/03/03\", \"Olivia\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Olivia for 10 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the late afternoon on 2013/03/03?\", \"10 minutes\"], [\"who did I talk to on 2013/03/03?\", \"Olivia\"], [\"Did I talk to Olivia on 2013/03/03?\", \"yes\"], [\"Did I talk to anyone on 2013/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4918\", \"logical_representation\": [\"2013/03/03\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/03/03?\", \"22 minutes\"], [\"what did I read on 2013/03/03?\", \"a book\"], [\"Did I read on 2013/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4919\", \"logical_representation\": [\"2013/03/03\", \"news\", \"28 minutes\"], \"text_template_based\": \"I watched news for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/03?\", \"28 minutes\"], [\"what did I watch on tv on 2013/03/03?\", \"news\"], [\"Did I watch tv on 2013/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/04\": {\"lunch\": {\"eid\": \"e4920\", \"logical_representation\": [\"2013/03/04\", \"lunch\", \"sushi\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had sushi for lunch with Carter, Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/03/04?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2013/03/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4921\", \"logical_representation\": [\"2013/03/04\", \"dinner\", \"sushi\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4922\", \"logical_representation\": [\"2013/03/04\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/03/04?\", \"45 minutes\"], [\"what did I read on 2013/03/04?\", \"a book\"], [\"Did I read on 2013/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4923\", \"logical_representation\": [\"2013/03/04\", \"a tv series\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/04?\", \"51 minutes\"], [\"what did I watch on tv on 2013/03/04?\", \"a tv series\"], [\"Did I watch tv on 2013/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/05\": {\"exercise\": {\"eid\": \"e4924\", \"logical_representation\": [\"2013/03/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/03/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4925\", \"logical_representation\": [\"2013/03/05\", \"breakfast\", \"oatmeal\", \"Benjamin, Avery\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4926\", \"logical_representation\": [\"2013/03/05\", \"lunch\", \"chinese food\", \"Piper, Eva, Avery, Layla, Nevaeh, Hazel, Lydia\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/03/05\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4927\", \"logical_representation\": [\"2013/03/05\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/03/05?\", \"9 minutes\"], [\"what did I read on 2013/03/05?\", \"news\"], [\"Did I read on 2013/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4928\", \"logical_representation\": [\"2013/03/05\", \"a documentary\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/05?\", \"14 minutes\"], [\"what did I watch on tv on 2013/03/05?\", \"a documentary\"], [\"Did I watch tv on 2013/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/06\": {\"exercise\": {\"eid\": \"e4929\", \"logical_representation\": [\"2013/03/06\", \"running\"], \"text_template_based\": \"I did running on 2013/03/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/06?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4930\", \"logical_representation\": [\"2013/03/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4931\", \"logical_representation\": [\"2013/03/06\", \"Piper, Hazel, Lydia\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Lydia for 28 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Lydia in the late afternoon on 2013/03/06?\", \"28 minutes\"], [\"who did I talk to on 2013/03/06?\", \"Piper, Hazel, Lydia\"], [\"Did I talk to Piper, Hazel, Lydia on 2013/03/06?\", \"yes\"], [\"Did I talk to anyone on 2013/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/08\": {\"watch tv\": {\"eid\": \"e4935\", \"logical_representation\": [\"2013/03/08\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/08?\", \"22 minutes\"], [\"what did I watch on tv on 2013/03/08?\", \"news\"], [\"Did I watch tv on 2013/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/09\": {\"exercise\": {\"eid\": \"e4936\", \"logical_representation\": [\"2013/03/09\", \"biking\"], \"text_template_based\": \"I did biking on 2013/03/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4937\", \"logical_representation\": [\"2013/03/09\", \"Nora, Claire, Avery\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Nora, Claire, Avery for 5 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Avery late in the evening on 2013/03/09?\", \"5 minutes\"], [\"who did I talk to on 2013/03/09?\", \"Nora, Claire, Avery\"], [\"Did I talk to Nora, Claire, Avery on 2013/03/09?\", \"yes\"], [\"Did I talk to anyone on 2013/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4938\", \"logical_representation\": [\"2013/03/09\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/03/09?\", \"18 minutes\"], [\"what did I read on 2013/03/09?\", \"news\"], [\"Did I read on 2013/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4939\", \"logical_representation\": [\"2013/03/09\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/09?\", \"33 minutes\"], [\"what did I watch on tv on 2013/03/09?\", \"a tv series\"], [\"Did I watch tv on 2013/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/10\": {\"lunch\": {\"eid\": \"e4940\", \"logical_representation\": [\"2013/03/10\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had sushi for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/03/10?\", \"Emily\"], [\"what did I eat for lunch on 2013/03/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4941\", \"logical_representation\": [\"2013/03/10\", \"dinner\", \"sandwich\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4942\", \"logical_representation\": [\"2013/03/10\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I watched a documentary for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/10?\", \"33 minutes\"], [\"what did I watch on tv on 2013/03/10?\", \"a documentary\"], [\"Did I watch tv on 2013/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/11\": {\"dinner\": {\"eid\": \"e4943\", \"logical_representation\": [\"2013/03/11\", \"dinner\", \"sandwich\", \"Kayden, Carter\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4944\", \"logical_representation\": [\"2013/03/11\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/03/11?\", \"43 minutes\"], [\"what did I read on 2013/03/11?\", \"a book\"], [\"Did I read on 2013/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4945\", \"logical_representation\": [\"2013/03/11\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I watched a tv series for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/11?\", \"13 minutes\"], [\"what did I watch on tv on 2013/03/11?\", \"a tv series\"], [\"Did I watch tv on 2013/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/13\": {\"breakfast\": {\"eid\": \"e4951\", \"logical_representation\": [\"2013/03/13\", \"breakfast\", \"pancakes\", \"Layla, Avery, Rylee, Nevaeh\"], \"text_template_based\": \"I had pancakes for breakfast with Layla, Avery, Rylee, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/03/13?\", \"Layla, Avery, Rylee, Nevaeh\"], [\"what did I eat for breakfast on 2013/03/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4952\", \"logical_representation\": [\"2013/03/13\", \"lunch\", \"fish and chips\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Kayden, Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/03/13?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for lunch on 2013/03/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4953\", \"logical_representation\": [\"2013/03/13\", \"dinner\", \"steak\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4954\", \"logical_representation\": [\"2013/03/13\", \"Piper, Eva, Avery\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Piper, Eva, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Avery in the morning on 2013/03/13?\", \"11 minutes\"], [\"who did I talk to on 2013/03/13?\", \"Piper, Eva, Avery\"], [\"Did I talk to Piper, Eva, Avery on 2013/03/13?\", \"yes\"], [\"Did I talk to anyone on 2013/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4955\", \"logical_representation\": [\"2013/03/13\", \"Hazel, Rylee\", \"during lunch hours\", \"5 minutes\"], \"text_template_based\": \"I talked to Hazel, Rylee for 5 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee during lunch hours on 2013/03/13?\", \"5 minutes\"], [\"who did I talk to on 2013/03/13?\", \"Hazel, Rylee\"], [\"Did I talk to Hazel, Rylee on 2013/03/13?\", \"yes\"], [\"Did I talk to anyone on 2013/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4956\", \"logical_representation\": [\"2013/03/13\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I watched a movie for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/13?\", \"39 minutes\"], [\"what did I watch on tv on 2013/03/13?\", \"a movie\"], [\"Did I watch tv on 2013/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/16\": {\"lunch\": {\"eid\": \"e4965\", \"logical_representation\": [\"2013/03/16\", \"lunch\", \"pasta\", \"Kinsley, Layla, Rylee, Avery, Olivia, Claire\"], \"text_template_based\": \"I had pasta for lunch with Kinsley, Layla, Rylee, Avery, Olivia, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/03/16?\", \"Kinsley, Layla, Rylee, Avery, Olivia, Claire\"], [\"what did I eat for lunch on 2013/03/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4966\", \"logical_representation\": [\"2013/03/16\", \"Rylee, Piper, Kinsley\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Rylee, Piper, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Kinsley during lunch hours on 2013/03/16?\", \"33 minutes\"], [\"who did I talk to on 2013/03/16?\", \"Rylee, Piper, Kinsley\"], [\"Did I talk to Rylee, Piper, Kinsley on 2013/03/16?\", \"yes\"], [\"Did I talk to anyone on 2013/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4967\", \"logical_representation\": [\"2013/03/16\", \"a tv series\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/16?\", \"46 minutes\"], [\"what did I watch on tv on 2013/03/16?\", \"a tv series\"], [\"Did I watch tv on 2013/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/18\": {\"breakfast\": {\"eid\": \"e4972\", \"logical_representation\": [\"2013/03/18\", \"breakfast\", \"oatmeal\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4973\", \"logical_representation\": [\"2013/03/18\", \"dinner\", \"sushi\", \"Claire, Nora, Kinsley, Piper, Nevaeh, Avery, Layla, Eva\"], \"text_template_based\": \"I had dinner with Claire, Nora, Kinsley, Piper, Nevaeh, Avery, Layla, Eva. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/03/18?\", \"Claire, Nora, Kinsley, Piper, Nevaeh, Avery, Layla, Eva\"], [\"what did I eat for dinner on 2013/03/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4974\", \"logical_representation\": [\"2013/03/18\", \"Nevaeh\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2013/03/18?\", \"18 minutes\"], [\"who did I talk to on 2013/03/18?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2013/03/18?\", \"yes\"], [\"Did I talk to anyone on 2013/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4975\", \"logical_representation\": [\"2013/03/18\", \"Nevaeh\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2013/03/18?\", \"46 minutes\"], [\"who did I talk to on 2013/03/18?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2013/03/18?\", \"yes\"], [\"Did I talk to anyone on 2013/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/19\": {\"breakfast\": {\"eid\": \"e4976\", \"logical_representation\": [\"2013/03/19\", \"breakfast\", \"toast and cheese\", \"Lydia, Piper, Piper, Nora, Kinsley\"], \"text_template_based\": \"I had breakfast with Lydia, Piper, Piper, Nora, Kinsley. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/03/19?\", \"Lydia, Piper, Piper, Nora, Kinsley\"], [\"what did I eat for breakfast on 2013/03/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4977\", \"logical_representation\": [\"2013/03/19\", \"dinner\", \"steak\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/19\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4978\", \"logical_representation\": [\"2013/03/19\", \"Avery, Claire\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Avery, Claire for 39 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire late in the evening on 2013/03/19?\", \"39 minutes\"], [\"who did I talk to on 2013/03/19?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2013/03/19?\", \"yes\"], [\"Did I talk to anyone on 2013/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4979\", \"logical_representation\": [\"2013/03/19\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/03/19?\", \"12 minutes\"], [\"what did I read on 2013/03/19?\", \"social media\"], [\"Did I read on 2013/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/20\": {\"exercise\": {\"eid\": \"e4980\", \"logical_representation\": [\"2013/03/20\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/20?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4981\", \"logical_representation\": [\"2013/03/20\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/20\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4982\", \"logical_representation\": [\"2013/03/20\", \"lunch\", \"tacos\", \"Claire, Hazel, Rylee, Lydia, Nora, Avery, Nevaeh, Piper, Eva, Piper\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/03/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4983\", \"logical_representation\": [\"2013/03/20\", \"Olivia, Kinsley, Claire\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley, Claire for 25 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Claire in the early evening on 2013/03/20?\", \"25 minutes\"], [\"who did I talk to on 2013/03/20?\", \"Olivia, Kinsley, Claire\"], [\"Did I talk to Olivia, Kinsley, Claire on 2013/03/20?\", \"yes\"], [\"Did I talk to anyone on 2013/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e4984\", \"logical_representation\": [\"2013/03/20\", \"Nevaeh, Olivia, Nora\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Nora for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Nora in the morning on 2013/03/20?\", \"45 minutes\"], [\"who did I talk to on 2013/03/20?\", \"Nevaeh, Olivia, Nora\"], [\"Did I talk to Nevaeh, Olivia, Nora on 2013/03/20?\", \"yes\"], [\"Did I talk to anyone on 2013/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4985\", \"logical_representation\": [\"2013/03/20\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/03/20?\", \"37 minutes\"], [\"what did I read on 2013/03/20?\", \"social media\"], [\"Did I read on 2013/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4986\", \"logical_representation\": [\"2013/03/20\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/20?\", \"23 minutes\"], [\"what did I watch on tv on 2013/03/20?\", \"a movie\"], [\"Did I watch tv on 2013/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/22\": {\"lunch\": {\"eid\": \"e4990\", \"logical_representation\": [\"2013/03/22\", \"lunch\", \"sandwich\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch with Emily, Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/03/22?\", \"Emily, Carter\"], [\"what did I eat for lunch on 2013/03/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4991\", \"logical_representation\": [\"2013/03/22\", \"Kinsley, Claire, Lydia\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire, Lydia for 7 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Lydia during lunch hours on 2013/03/22?\", \"7 minutes\"], [\"who did I talk to on 2013/03/22?\", \"Kinsley, Claire, Lydia\"], [\"Did I talk to Kinsley, Claire, Lydia on 2013/03/22?\", \"yes\"], [\"Did I talk to anyone on 2013/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4992\", \"logical_representation\": [\"2013/03/22\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I watched a tv series for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/22?\", \"12 minutes\"], [\"what did I watch on tv on 2013/03/22?\", \"a tv series\"], [\"Did I watch tv on 2013/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/23\": {\"exercise\": {\"eid\": \"e4993\", \"logical_representation\": [\"2013/03/23\", \"biking\"], \"text_template_based\": \"I did biking on 2013/03/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/23?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4994\", \"logical_representation\": [\"2013/03/23\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4995\", \"logical_representation\": [\"2013/03/23\", \"dinner\", \"chinese food\", \"Nevaeh, Hazel, Lydia, Olivia, Rylee, Kinsley, Eva, Avery, Claire, Nora, Piper\"], \"text_template_based\": \"I had chinese food for dinner with Nevaeh, Hazel, Lydia, Olivia, Rylee, Kinsley, Eva, Avery, Claire, Nora, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/03/23?\", \"Nevaeh, Hazel, Lydia, Olivia, Rylee, Kinsley, Eva, Avery, Claire, Nora, Piper\"], [\"what did I eat for dinner on 2013/03/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4996\", \"logical_representation\": [\"2013/03/23\", \"Nevaeh\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 48 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2013/03/23?\", \"48 minutes\"], [\"who did I talk to on 2013/03/23?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2013/03/23?\", \"yes\"], [\"Did I talk to anyone on 2013/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4997\", \"logical_representation\": [\"2013/03/23\", \"a movie\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/23?\", \"51 minutes\"], [\"what did I watch on tv on 2013/03/23?\", \"a movie\"], [\"Did I watch tv on 2013/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/25\": {\"exercise\": {\"eid\": \"e5002\", \"logical_representation\": [\"2013/03/25\", \"running\"], \"text_template_based\": \"I did running on 2013/03/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5003\", \"logical_representation\": [\"2013/03/25\", \"breakfast\", \"oatmeal\", \"Lydia, Piper, Hazel, Avery, Piper\"], \"text_template_based\": \"I had breakfast with Lydia, Piper, Hazel, Avery, Piper. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/03/25?\", \"Lydia, Piper, Hazel, Avery, Piper\"], [\"what did I eat for breakfast on 2013/03/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5004\", \"logical_representation\": [\"2013/03/25\", \"lunch\", \"sushi\", \"Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/03/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5005\", \"logical_representation\": [\"2013/03/25\", \"Rylee, Nevaeh\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh for 53 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh during lunch hours on 2013/03/25?\", \"53 minutes\"], [\"who did I talk to on 2013/03/25?\", \"Rylee, Nevaeh\"], [\"Did I talk to Rylee, Nevaeh on 2013/03/25?\", \"yes\"], [\"Did I talk to anyone on 2013/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5006\", \"logical_representation\": [\"2013/03/25\", \"Rylee, Eva, Claire, Hazel\", \"in the morning\", \"12 minutes\"], \"text_template_based\": \"I talked to Rylee, Eva, Claire, Hazel for 12 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Claire, Hazel in the morning on 2013/03/25?\", \"12 minutes\"], [\"who did I talk to on 2013/03/25?\", \"Rylee, Eva, Claire, Hazel\"], [\"Did I talk to Rylee, Eva, Claire, Hazel on 2013/03/25?\", \"yes\"], [\"Did I talk to anyone on 2013/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/26\": {\"dinner\": {\"eid\": \"e5007\", \"logical_representation\": [\"2013/03/26\", \"dinner\", \"fish and chips\", \"Carter, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Kayden. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/03/26?\", \"Carter, Kayden\"], [\"what did I eat for dinner on 2013/03/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5008\", \"logical_representation\": [\"2013/03/26\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/03/26?\", \"30 minutes\"], [\"what did I read on 2013/03/26?\", \"social media\"], [\"Did I read on 2013/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/27\": {\"exercise\": {\"eid\": \"e5009\", \"logical_representation\": [\"2013/03/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/03/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5010\", \"logical_representation\": [\"2013/03/27\", \"breakfast\", \"cereals\", \"Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5011\", \"logical_representation\": [\"2013/03/27\", \"Lydia, Nora, Nevaeh\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Lydia, Nora, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Nevaeh in the early afternoon on 2013/03/27?\", \"17 minutes\"], [\"who did I talk to on 2013/03/27?\", \"Lydia, Nora, Nevaeh\"], [\"Did I talk to Lydia, Nora, Nevaeh on 2013/03/27?\", \"yes\"], [\"Did I talk to anyone on 2013/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5012\", \"logical_representation\": [\"2013/03/27\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/03/27?\", \"16 minutes\"], [\"what did I read on 2013/03/27?\", \"news\"], [\"Did I read on 2013/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5013\", \"logical_representation\": [\"2013/03/27\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/27?\", \"42 minutes\"], [\"what did I watch on tv on 2013/03/27?\", \"a tv series\"], [\"Did I watch tv on 2013/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/28\": {\"exercise\": {\"eid\": \"e5014\", \"logical_representation\": [\"2013/03/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/03/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5015\", \"logical_representation\": [\"2013/03/28\", \"lunch\", \"chinese food\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/03/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5016\", \"logical_representation\": [\"2013/03/28\", \"dinner\", \"sandwich\", \"Claire, Nevaeh, Nora, Avery, Rylee, Olivia\"], \"text_template_based\": \"I had sandwich for dinner with Claire, Nevaeh, Nora, Avery, Rylee, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/03/28?\", \"Claire, Nevaeh, Nora, Avery, Rylee, Olivia\"], [\"what did I eat for dinner on 2013/03/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5017\", \"logical_representation\": [\"2013/03/28\", \"Lydia, Eva, Layla, Avery\", \"in the late afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva, Layla, Avery for 31 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Layla, Avery in the late afternoon on 2013/03/28?\", \"31 minutes\"], [\"who did I talk to on 2013/03/28?\", \"Lydia, Eva, Layla, Avery\"], [\"Did I talk to Lydia, Eva, Layla, Avery on 2013/03/28?\", \"yes\"], [\"Did I talk to anyone on 2013/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5018\", \"logical_representation\": [\"2013/03/28\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/03/28?\", \"12 minutes\"], [\"what did I read on 2013/03/28?\", \"news\"], [\"Did I read on 2013/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5019\", \"logical_representation\": [\"2013/03/28\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I watched a tv series for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/28?\", \"20 minutes\"], [\"what did I watch on tv on 2013/03/28?\", \"a tv series\"], [\"Did I watch tv on 2013/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/29\": {\"breakfast\": {\"eid\": \"e5020\", \"logical_representation\": [\"2013/03/29\", \"breakfast\", \"toast and cheese\", \"Piper, Lydia, Olivia, Layla\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5021\", \"logical_representation\": [\"2013/03/29\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/03/29?\", \"24 minutes\"], [\"what did I read on 2013/03/29?\", \"a book\"], [\"Did I read on 2013/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/02\": {\"dinner\": {\"eid\": \"e5037\", \"logical_representation\": [\"2013/04/02\", \"dinner\", \"a burger\", \"Piper, Claire, Lydia, Nevaeh, Olivia, Kinsley\"], \"text_template_based\": \"I had dinner with Piper, Claire, Lydia, Nevaeh, Olivia, Kinsley. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/04/02?\", \"Piper, Claire, Lydia, Nevaeh, Olivia, Kinsley\"], [\"what did I eat for dinner on 2013/04/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5038\", \"logical_representation\": [\"2013/04/02\", \"Piper, Rylee, Nevaeh, Lydia\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee, Nevaeh, Lydia for 27 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Nevaeh, Lydia during lunch hours on 2013/04/02?\", \"27 minutes\"], [\"who did I talk to on 2013/04/02?\", \"Piper, Rylee, Nevaeh, Lydia\"], [\"Did I talk to Piper, Rylee, Nevaeh, Lydia on 2013/04/02?\", \"yes\"], [\"Did I talk to anyone on 2013/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5039\", \"logical_representation\": [\"2013/04/02\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/02?\", \"9 minutes\"], [\"what did I watch on tv on 2013/04/02?\", \"news\"], [\"Did I watch tv on 2013/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/03\": {\"lunch\": {\"eid\": \"e5040\", \"logical_representation\": [\"2013/04/03\", \"lunch\", \"tacos\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/04/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5041\", \"logical_representation\": [\"2013/04/03\", \"Nevaeh\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 8 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early afternoon on 2013/04/03?\", \"8 minutes\"], [\"who did I talk to on 2013/04/03?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2013/04/03?\", \"yes\"], [\"Did I talk to anyone on 2013/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5042\", \"logical_representation\": [\"2013/04/03\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I watched a tv series for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/03?\", \"24 minutes\"], [\"what did I watch on tv on 2013/04/03?\", \"a tv series\"], [\"Did I watch tv on 2013/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/04\": {\"breakfast\": {\"eid\": \"e5043\", \"logical_representation\": [\"2013/04/04\", \"breakfast\", \"peanut-butter-jam\", \"Hazel, Rylee, Nora, Layla, Piper, Kinsley, Avery, Piper\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Hazel, Rylee, Nora, Layla, Piper, Kinsley, Avery, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/04/04?\", \"Hazel, Rylee, Nora, Layla, Piper, Kinsley, Avery, Piper\"], [\"what did I eat for breakfast on 2013/04/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5044\", \"logical_representation\": [\"2013/04/04\", \"Hazel\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2013/04/04?\", \"42 minutes\"], [\"who did I talk to on 2013/04/04?\", \"Hazel\"], [\"Did I talk to Hazel on 2013/04/04?\", \"yes\"], [\"Did I talk to anyone on 2013/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5045\", \"logical_representation\": [\"2013/04/04\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/04/04?\", \"52 minutes\"], [\"what did I read on 2013/04/04?\", \"a book\"], [\"Did I read on 2013/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/05\": {\"exercise\": {\"eid\": \"e5046\", \"logical_representation\": [\"2013/04/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2013/04/06\": {\"exercise\": {\"eid\": \"e5047\", \"logical_representation\": [\"2013/04/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/04/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5048\", \"logical_representation\": [\"2013/04/06\", \"lunch\", \"indian food\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had indian food for lunch with Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/04/06?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2013/04/06\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2013/04/09\": {\"dinner\": {\"eid\": \"e5054\", \"logical_representation\": [\"2013/04/09\", \"dinner\", \"chinese food\", \"Rylee, Eva, Piper, Olivia, Layla, Lydia, Nevaeh, Avery, Kinsley, Piper, Nora, Hazel, Claire\"], \"text_template_based\": \"I had chinese food for dinner with Rylee, Eva, Piper, Olivia, Layla, Lydia, Nevaeh, Avery, Kinsley, Piper, Nora, Hazel, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/04/09?\", \"Rylee, Eva, Piper, Olivia, Layla, Lydia, Nevaeh, Avery, Kinsley, Piper, Nora, Hazel, Claire\"], [\"what did I eat for dinner on 2013/04/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5055\", \"logical_representation\": [\"2013/04/09\", \"Layla\", \"in the early evening\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2013/04/09?\", \"54 minutes\"], [\"who did I talk to on 2013/04/09?\", \"Layla\"], [\"Did I talk to Layla on 2013/04/09?\", \"yes\"], [\"Did I talk to anyone on 2013/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5056\", \"logical_representation\": [\"2013/04/09\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/09?\", \"27 minutes\"], [\"what did I watch on tv on 2013/04/09?\", \"news\"], [\"Did I watch tv on 2013/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/11\": {\"exercise\": {\"eid\": \"e5059\", \"logical_representation\": [\"2013/04/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/04/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5060\", \"logical_representation\": [\"2013/04/11\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/04/11?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for breakfast on 2013/04/11\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5061\", \"logical_representation\": [\"2013/04/11\", \"dinner\", \"steak\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had steak for dinner with Andrew, Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/04/11?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for dinner on 2013/04/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5062\", \"logical_representation\": [\"2013/04/11\", \"Layla, Claire, Kinsley\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Layla, Claire, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire, Kinsley in the early evening on 2013/04/11?\", \"32 minutes\"], [\"who did I talk to on 2013/04/11?\", \"Layla, Claire, Kinsley\"], [\"Did I talk to Layla, Claire, Kinsley on 2013/04/11?\", \"yes\"], [\"Did I talk to anyone on 2013/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5063\", \"logical_representation\": [\"2013/04/11\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/04/11?\", \"27 minutes\"], [\"what did I read on 2013/04/11?\", \"social media\"], [\"Did I read on 2013/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5064\", \"logical_representation\": [\"2013/04/11\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I watched a movie for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/11?\", \"10 minutes\"], [\"what did I watch on tv on 2013/04/11?\", \"a movie\"], [\"Did I watch tv on 2013/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/12\": {\"breakfast\": {\"eid\": \"e5065\", \"logical_representation\": [\"2013/04/12\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Layla, Avery, Eva\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Piper, Layla, Avery, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/04/12?\", \"Piper, Layla, Avery, Eva\"], [\"what did I eat for breakfast on 2013/04/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5066\", \"logical_representation\": [\"2013/04/12\", \"lunch\", \"fish and chips\", \"Piper, Nora, Layla, Lydia, Claire, Avery\"], \"text_template_based\": \"I had fish and chips for lunch with Piper, Nora, Layla, Lydia, Claire, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/04/12?\", \"Piper, Nora, Layla, Lydia, Claire, Avery\"], [\"what did I eat for lunch on 2013/04/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5067\", \"logical_representation\": [\"2013/04/12\", \"dinner\", \"tacos\", \"Kayden, Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/04/12\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2013/04/14\": {\"breakfast\": {\"eid\": \"e5072\", \"logical_representation\": [\"2013/04/14\", \"breakfast\", \"toast and cheese\", \"Piper, Layla, Piper, Olivia, Kinsley\"], \"text_template_based\": \"I had toast and cheese for breakfast with Piper, Layla, Piper, Olivia, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/04/14?\", \"Piper, Layla, Piper, Olivia, Kinsley\"], [\"what did I eat for breakfast on 2013/04/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5073\", \"logical_representation\": [\"2013/04/14\", \"Nora, Olivia, Layla\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia, Layla for 43 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Layla late in the evening on 2013/04/14?\", \"43 minutes\"], [\"who did I talk to on 2013/04/14?\", \"Nora, Olivia, Layla\"], [\"Did I talk to Nora, Olivia, Layla on 2013/04/14?\", \"yes\"], [\"Did I talk to anyone on 2013/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5074\", \"logical_representation\": [\"2013/04/14\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/04/14?\", \"7 minutes\"], [\"what did I read on 2013/04/14?\", \"social media\"], [\"Did I read on 2013/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5075\", \"logical_representation\": [\"2013/04/14\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/14?\", \"12 minutes\"], [\"what did I watch on tv on 2013/04/14?\", \"news\"], [\"Did I watch tv on 2013/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/15\": {\"exercise\": {\"eid\": \"e5076\", \"logical_representation\": [\"2013/04/15\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/04/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/15?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5077\", \"logical_representation\": [\"2013/04/15\", \"lunch\", \"indian food\", \"Olivia, Nora, Piper\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/04/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5078\", \"logical_representation\": [\"2013/04/15\", \"Layla, Rylee, Nora, Nevaeh\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Layla, Rylee, Nora, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Nora, Nevaeh during lunch hours on 2013/04/15?\", \"34 minutes\"], [\"who did I talk to on 2013/04/15?\", \"Layla, Rylee, Nora, Nevaeh\"], [\"Did I talk to Layla, Rylee, Nora, Nevaeh on 2013/04/15?\", \"yes\"], [\"Did I talk to anyone on 2013/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5079\", \"logical_representation\": [\"2013/04/15\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/15?\", \"11 minutes\"], [\"what did I watch on tv on 2013/04/15?\", \"news\"], [\"Did I watch tv on 2013/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/16\": {\"breakfast\": {\"eid\": \"e5080\", \"logical_representation\": [\"2013/04/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Willow\"], \"text_template_based\": \"I had breakfast with Benjamin, Willow. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/04/16?\", \"Benjamin, Willow\"], [\"what did I eat for breakfast on 2013/04/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5081\", \"logical_representation\": [\"2013/04/16\", \"lunch\", \"a burger\", \"Benjamin\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/04/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5082\", \"logical_representation\": [\"2013/04/16\", \"Eva, Hazel, Piper, Avery\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel, Piper, Avery for 24 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Piper, Avery during lunch hours on 2013/04/16?\", \"24 minutes\"], [\"who did I talk to on 2013/04/16?\", \"Eva, Hazel, Piper, Avery\"], [\"Did I talk to Eva, Hazel, Piper, Avery on 2013/04/16?\", \"yes\"], [\"Did I talk to anyone on 2013/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5083\", \"logical_representation\": [\"2013/04/16\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/16?\", \"33 minutes\"], [\"what did I watch on tv on 2013/04/16?\", \"news\"], [\"Did I watch tv on 2013/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/17\": {\"exercise\": {\"eid\": \"e5084\", \"logical_representation\": [\"2013/04/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/04/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5085\", \"logical_representation\": [\"2013/04/17\", \"lunch\", \"a burger\", \"Carter, Andrew\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/04/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5086\", \"logical_representation\": [\"2013/04/17\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/04/17?\", \"54 minutes\"], [\"what did I read on 2013/04/17?\", \"a book\"], [\"Did I read on 2013/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/18\": {\"dinner\": {\"eid\": \"e5087\", \"logical_representation\": [\"2013/04/18\", \"dinner\", \"steak\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/04/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5088\", \"logical_representation\": [\"2013/04/18\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/04/18?\", \"41 minutes\"], [\"what did I read on 2013/04/18?\", \"news\"], [\"Did I read on 2013/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/19\": {\"breakfast\": {\"eid\": \"e5089\", \"logical_representation\": [\"2013/04/19\", \"breakfast\", \"cereals\", \"Nora, Eva, Avery, Piper, Lydia\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/04/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5090\", \"logical_representation\": [\"2013/04/19\", \"dinner\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/04/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5091\", \"logical_representation\": [\"2013/04/19\", \"Piper, Kinsley\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley for 10 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley in the early evening on 2013/04/19?\", \"10 minutes\"], [\"who did I talk to on 2013/04/19?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2013/04/19?\", \"yes\"], [\"Did I talk to anyone on 2013/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5092\", \"logical_representation\": [\"2013/04/19\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/04/19?\", \"36 minutes\"], [\"what did I read on 2013/04/19?\", \"news\"], [\"Did I read on 2013/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5093\", \"logical_representation\": [\"2013/04/19\", \"a documentary\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/19?\", \"12 minutes\"], [\"what did I watch on tv on 2013/04/19?\", \"a documentary\"], [\"Did I watch tv on 2013/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/20\": {\"exercise\": {\"eid\": \"e5094\", \"logical_representation\": [\"2013/04/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/04/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5095\", \"logical_representation\": [\"2013/04/20\", \"dinner\", \"fish and chips\", \"Andrew, Emily\"], \"text_template_based\": \"I had fish and chips for dinner with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/04/20?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2013/04/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5096\", \"logical_representation\": [\"2013/04/20\", \"Olivia, Nora\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora for 37 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora during lunch hours on 2013/04/20?\", \"37 minutes\"], [\"who did I talk to on 2013/04/20?\", \"Olivia, Nora\"], [\"Did I talk to Olivia, Nora on 2013/04/20?\", \"yes\"], [\"Did I talk to anyone on 2013/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5097\", \"logical_representation\": [\"2013/04/20\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/04/20?\", \"27 minutes\"], [\"what did I read on 2013/04/20?\", \"news\"], [\"Did I read on 2013/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/21\": {\"exercise\": {\"eid\": \"e5098\", \"logical_representation\": [\"2013/04/21\", \"running\"], \"text_template_based\": \"I did running on 2013/04/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5099\", \"logical_representation\": [\"2013/04/21\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/04/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5100\", \"logical_representation\": [\"2013/04/21\", \"lunch\", \"pasta\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/04/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5101\", \"logical_representation\": [\"2013/04/21\", \"Hazel\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2013/04/21?\", \"52 minutes\"], [\"who did I talk to on 2013/04/21?\", \"Hazel\"], [\"Did I talk to Hazel on 2013/04/21?\", \"yes\"], [\"Did I talk to anyone on 2013/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5102\", \"logical_representation\": [\"2013/04/21\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/04/21?\", \"18 minutes\"], [\"what did I read on 2013/04/21?\", \"social media\"], [\"Did I read on 2013/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/23\": {\"exercise\": {\"eid\": \"e5107\", \"logical_representation\": [\"2013/04/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/04/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5108\", \"logical_representation\": [\"2013/04/23\", \"lunch\", \"sushi\", \"Olivia\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/04/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5109\", \"logical_representation\": [\"2013/04/23\", \"dinner\", \"steak\", \"Avery\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/04/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5110\", \"logical_representation\": [\"2013/04/23\", \"Olivia, Piper, Piper, Kinsley\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Olivia, Piper, Piper, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Piper, Kinsley in the late afternoon on 2013/04/23?\", \"33 minutes\"], [\"who did I talk to on 2013/04/23?\", \"Olivia, Piper, Piper, Kinsley\"], [\"Did I talk to Olivia, Piper, Piper, Kinsley on 2013/04/23?\", \"yes\"], [\"Did I talk to anyone on 2013/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/25\": {\"breakfast\": {\"eid\": \"e5114\", \"logical_representation\": [\"2013/04/25\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/04/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5115\", \"logical_representation\": [\"2013/04/25\", \"dinner\", \"fish and chips\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/04/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5116\", \"logical_representation\": [\"2013/04/25\", \"Eva, Nevaeh, Nora\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Eva, Nevaeh, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Nora in the early evening on 2013/04/25?\", \"7 minutes\"], [\"who did I talk to on 2013/04/25?\", \"Eva, Nevaeh, Nora\"], [\"Did I talk to Eva, Nevaeh, Nora on 2013/04/25?\", \"yes\"], [\"Did I talk to anyone on 2013/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5117\", \"logical_representation\": [\"2013/04/25\", \"Layla, Nevaeh\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Layla, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh in the late afternoon on 2013/04/25?\", \"47 minutes\"], [\"who did I talk to on 2013/04/25?\", \"Layla, Nevaeh\"], [\"Did I talk to Layla, Nevaeh on 2013/04/25?\", \"yes\"], [\"Did I talk to anyone on 2013/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5118\", \"logical_representation\": [\"2013/04/25\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/04/25?\", \"38 minutes\"], [\"what did I read on 2013/04/25?\", \"news\"], [\"Did I read on 2013/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5119\", \"logical_representation\": [\"2013/04/25\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I watched a movie for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/25?\", \"5 minutes\"], [\"what did I watch on tv on 2013/04/25?\", \"a movie\"], [\"Did I watch tv on 2013/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/26\": {\"exercise\": {\"eid\": \"e5120\", \"logical_representation\": [\"2013/04/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/04/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5121\", \"logical_representation\": [\"2013/04/26\", \"dinner\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/04/26?\", \"Andrew\"], [\"what did I eat for dinner on 2013/04/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5122\", \"logical_representation\": [\"2013/04/26\", \"Nora, Eva, Piper\", \"in the early evening\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Nora, Eva, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Piper in the early evening on 2013/04/26?\", \"8 minutes\"], [\"who did I talk to on 2013/04/26?\", \"Nora, Eva, Piper\"], [\"Did I talk to Nora, Eva, Piper on 2013/04/26?\", \"yes\"], [\"Did I talk to anyone on 2013/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5123\", \"logical_representation\": [\"2013/04/26\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/04/26?\", \"49 minutes\"], [\"what did I read on 2013/04/26?\", \"news\"], [\"Did I read on 2013/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5124\", \"logical_representation\": [\"2013/04/26\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/26?\", \"54 minutes\"], [\"what did I watch on tv on 2013/04/26?\", \"a tv series\"], [\"Did I watch tv on 2013/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/27\": {\"breakfast\": {\"eid\": \"e5125\", \"logical_representation\": [\"2013/04/27\", \"breakfast\", \"cereals\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Emily, Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/04/27?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2013/04/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5126\", \"logical_representation\": [\"2013/04/27\", \"lunch\", \"steak\", \"Benjamin\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/04/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5127\", \"logical_representation\": [\"2013/04/27\", \"dinner\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/04/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5128\", \"logical_representation\": [\"2013/04/27\", \"Claire\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Claire for 24 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2013/04/27?\", \"24 minutes\"], [\"who did I talk to on 2013/04/27?\", \"Claire\"], [\"Did I talk to Claire on 2013/04/27?\", \"yes\"], [\"Did I talk to anyone on 2013/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5129\", \"logical_representation\": [\"2013/04/27\", \"Piper\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2013/04/27?\", \"38 minutes\"], [\"who did I talk to on 2013/04/27?\", \"Piper\"], [\"Did I talk to Piper on 2013/04/27?\", \"yes\"], [\"Did I talk to anyone on 2013/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5130\", \"logical_representation\": [\"2013/04/27\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/04/27?\", \"14 minutes\"], [\"what did I read on 2013/04/27?\", \"a book\"], [\"Did I read on 2013/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5131\", \"logical_representation\": [\"2013/04/27\", \"news\", \"24 minutes\"], \"text_template_based\": \"I watched news for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/27?\", \"24 minutes\"], [\"what did I watch on tv on 2013/04/27?\", \"news\"], [\"Did I watch tv on 2013/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/29\": {\"breakfast\": {\"eid\": \"e5139\", \"logical_representation\": [\"2013/04/29\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Olivia, Nevaeh, Piper, Rylee, Kinsley, Lydia, Claire, Hazel, Piper, Eva\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/04/29\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5140\", \"logical_representation\": [\"2013/04/29\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/04/29?\", \"50 minutes\"], [\"what did I read on 2013/04/29?\", \"news\"], [\"Did I read on 2013/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5141\", \"logical_representation\": [\"2013/04/29\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I watched a tv series for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/29?\", \"18 minutes\"], [\"what did I watch on tv on 2013/04/29?\", \"a tv series\"], [\"Did I watch tv on 2013/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/30\": {\"exercise\": {\"eid\": \"e5142\", \"logical_representation\": [\"2013/04/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/04/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5143\", \"logical_representation\": [\"2013/04/30\", \"breakfast\", \"toast and cheese\", \"Hazel, Layla\"], \"text_template_based\": \"I had toast and cheese for breakfast with Hazel, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/04/30?\", \"Hazel, Layla\"], [\"what did I eat for breakfast on 2013/04/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5144\", \"logical_representation\": [\"2013/04/30\", \"lunch\", \"chinese food\", \"Jackson\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/04/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5145\", \"logical_representation\": [\"2013/04/30\", \"Eva, Lydia, Hazel\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I talked to Eva, Lydia, Hazel for 15 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Hazel in the morning on 2013/04/30?\", \"15 minutes\"], [\"who did I talk to on 2013/04/30?\", \"Eva, Lydia, Hazel\"], [\"Did I talk to Eva, Lydia, Hazel on 2013/04/30?\", \"yes\"], [\"Did I talk to anyone on 2013/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5146\", \"logical_representation\": [\"2013/04/30\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/04/30?\", \"28 minutes\"], [\"what did I read on 2013/04/30?\", \"social media\"], [\"Did I read on 2013/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5147\", \"logical_representation\": [\"2013/04/30\", \"a tv series\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/30?\", \"31 minutes\"], [\"what did I watch on tv on 2013/04/30?\", \"a tv series\"], [\"Did I watch tv on 2013/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/01\": {\"dinner\": {\"eid\": \"e5148\", \"logical_representation\": [\"2013/05/01\", \"dinner\", \"fish and chips\", \"Lydia, Kinsley, Nevaeh, Piper, Avery, Claire, Piper, Olivia\"], \"text_template_based\": \"I had dinner with Lydia, Kinsley, Nevaeh, Piper, Avery, Claire, Piper, Olivia. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/05/01?\", \"Lydia, Kinsley, Nevaeh, Piper, Avery, Claire, Piper, Olivia\"], [\"what did I eat for dinner on 2013/05/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5149\", \"logical_representation\": [\"2013/05/01\", \"Claire, Piper, Avery, Kinsley\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Avery, Kinsley for 31 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Avery, Kinsley in the morning on 2013/05/01?\", \"31 minutes\"], [\"who did I talk to on 2013/05/01?\", \"Claire, Piper, Avery, Kinsley\"], [\"Did I talk to Claire, Piper, Avery, Kinsley on 2013/05/01?\", \"yes\"], [\"Did I talk to anyone on 2013/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5150\", \"logical_representation\": [\"2013/05/01\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/05/01?\", \"26 minutes\"], [\"what did I read on 2013/05/01?\", \"a book\"], [\"Did I read on 2013/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/03\": {\"lunch\": {\"eid\": \"e5157\", \"logical_representation\": [\"2013/05/03\", \"lunch\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/05/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5158\", \"logical_representation\": [\"2013/05/03\", \"dinner\", \"chinese food\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/05/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5159\", \"logical_representation\": [\"2013/05/03\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/05/03?\", \"50 minutes\"], [\"what did I read on 2013/05/03?\", \"news\"], [\"Did I read on 2013/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5160\", \"logical_representation\": [\"2013/05/03\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/03?\", \"37 minutes\"], [\"what did I watch on tv on 2013/05/03?\", \"a movie\"], [\"Did I watch tv on 2013/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/04\": {\"breakfast\": {\"eid\": \"e5161\", \"logical_representation\": [\"2013/05/04\", \"breakfast\", \"toast and cheese\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/05/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5162\", \"logical_representation\": [\"2013/05/04\", \"lunch\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/05/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5163\", \"logical_representation\": [\"2013/05/04\", \"dinner\", \"indian food\", \"Piper, Olivia, Nevaeh, Kinsley\"], \"text_template_based\": \"I had indian food for dinner with Piper, Olivia, Nevaeh, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/05/04?\", \"Piper, Olivia, Nevaeh, Kinsley\"], [\"what did I eat for dinner on 2013/05/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5164\", \"logical_representation\": [\"2013/05/04\", \"Kinsley, Avery, Rylee\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Kinsley, Avery, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Rylee in the early afternoon on 2013/05/04?\", \"26 minutes\"], [\"who did I talk to on 2013/05/04?\", \"Kinsley, Avery, Rylee\"], [\"Did I talk to Kinsley, Avery, Rylee on 2013/05/04?\", \"yes\"], [\"Did I talk to anyone on 2013/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5165\", \"logical_representation\": [\"2013/05/04\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/05/04?\", \"28 minutes\"], [\"what did I read on 2013/05/04?\", \"a book\"], [\"Did I read on 2013/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5166\", \"logical_representation\": [\"2013/05/04\", \"news\", \"11 minutes\"], \"text_template_based\": \"I watched news for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/04?\", \"11 minutes\"], [\"what did I watch on tv on 2013/05/04?\", \"news\"], [\"Did I watch tv on 2013/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/05\": {\"exercise\": {\"eid\": \"e5167\", \"logical_representation\": [\"2013/05/05\", \"running\"], \"text_template_based\": \"I did running on 2013/05/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/05?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5168\", \"logical_representation\": [\"2013/05/05\", \"breakfast\", \"toast and cheese\", \"Eva, Piper, Avery, Nora, Rylee, Piper, Hazel, Layla\"], \"text_template_based\": \"I had breakfast with Eva, Piper, Avery, Nora, Rylee, Piper, Hazel, Layla. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/05/05?\", \"Eva, Piper, Avery, Nora, Rylee, Piper, Hazel, Layla\"], [\"what did I eat for breakfast on 2013/05/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5169\", \"logical_representation\": [\"2013/05/05\", \"dinner\", \"sushi\", \"Piper, Avery, Eva, Rylee, Kinsley, Olivia, Claire, Lydia, Nora, Nevaeh\"], \"text_template_based\": \"I had sushi for dinner with Piper, Avery, Eva, Rylee, Kinsley, Olivia, Claire, Lydia, Nora, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/05/05?\", \"Piper, Avery, Eva, Rylee, Kinsley, Olivia, Claire, Lydia, Nora, Nevaeh\"], [\"what did I eat for dinner on 2013/05/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5170\", \"logical_representation\": [\"2013/05/05\", \"Kinsley\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Kinsley for 24 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2013/05/05?\", \"24 minutes\"], [\"who did I talk to on 2013/05/05?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2013/05/05?\", \"yes\"], [\"Did I talk to anyone on 2013/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5171\", \"logical_representation\": [\"2013/05/05\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/05/05?\", \"5 minutes\"], [\"what did I read on 2013/05/05?\", \"a book\"], [\"Did I read on 2013/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/07\": {\"chat0\": {\"eid\": \"e5176\", \"logical_representation\": [\"2013/05/07\", \"Layla\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Layla for 29 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2013/05/07?\", \"29 minutes\"], [\"who did I talk to on 2013/05/07?\", \"Layla\"], [\"Did I talk to Layla on 2013/05/07?\", \"yes\"], [\"Did I talk to anyone on 2013/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5177\", \"logical_representation\": [\"2013/05/07\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/05/07?\", \"39 minutes\"], [\"what did I read on 2013/05/07?\", \"a book\"], [\"Did I read on 2013/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5178\", \"logical_representation\": [\"2013/05/07\", \"a tv series\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/07?\", \"15 minutes\"], [\"what did I watch on tv on 2013/05/07?\", \"a tv series\"], [\"Did I watch tv on 2013/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/08\": {\"exercise\": {\"eid\": \"e5179\", \"logical_representation\": [\"2013/05/08\", \"running\"], \"text_template_based\": \"I did running on 2013/05/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5180\", \"logical_representation\": [\"2013/05/08\", \"breakfast\", \"pancakes\", \"Nevaeh, Nora, Piper, Lydia, Kinsley, Layla, Rylee, Eva, Hazel\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/05/08\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5181\", \"logical_representation\": [\"2013/05/08\", \"Eva\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early evening on 2013/05/08?\", \"23 minutes\"], [\"who did I talk to on 2013/05/08?\", \"Eva\"], [\"Did I talk to Eva on 2013/05/08?\", \"yes\"], [\"Did I talk to anyone on 2013/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5182\", \"logical_representation\": [\"2013/05/08\", \"news\", \"30 minutes\"], \"text_template_based\": \"I watched news for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/08?\", \"30 minutes\"], [\"what did I watch on tv on 2013/05/08?\", \"news\"], [\"Did I watch tv on 2013/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/09\": {\"lunch\": {\"eid\": \"e5183\", \"logical_representation\": [\"2013/05/09\", \"lunch\", \"a burger\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/05/09?\", \"Andrew, Emily, Carter\"], [\"what did I eat for lunch on 2013/05/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5184\", \"logical_representation\": [\"2013/05/09\", \"Claire, Nevaeh, Nora\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Claire, Nevaeh, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Nora in the early afternoon on 2013/05/09?\", \"26 minutes\"], [\"who did I talk to on 2013/05/09?\", \"Claire, Nevaeh, Nora\"], [\"Did I talk to Claire, Nevaeh, Nora on 2013/05/09?\", \"yes\"], [\"Did I talk to anyone on 2013/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5185\", \"logical_representation\": [\"2013/05/09\", \"Eva, Nora, Olivia\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Eva, Nora, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Olivia during lunch hours on 2013/05/09?\", \"37 minutes\"], [\"who did I talk to on 2013/05/09?\", \"Eva, Nora, Olivia\"], [\"Did I talk to Eva, Nora, Olivia on 2013/05/09?\", \"yes\"], [\"Did I talk to anyone on 2013/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5186\", \"logical_representation\": [\"2013/05/09\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/05/09?\", \"19 minutes\"], [\"what did I read on 2013/05/09?\", \"a book\"], [\"Did I read on 2013/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5187\", \"logical_representation\": [\"2013/05/09\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/09?\", \"13 minutes\"], [\"what did I watch on tv on 2013/05/09?\", \"a movie\"], [\"Did I watch tv on 2013/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/10\": {\"exercise\": {\"eid\": \"e5188\", \"logical_representation\": [\"2013/05/10\", \"running\"], \"text_template_based\": \"I did running on 2013/05/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/10?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5189\", \"logical_representation\": [\"2013/05/10\", \"breakfast\", \"pancakes\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/05/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5190\", \"logical_representation\": [\"2013/05/10\", \"lunch\", \"sushi\", \"Andrew, Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/05/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5191\", \"logical_representation\": [\"2013/05/10\", \"dinner\", \"sushi\", \"Claire, Hazel\"], \"text_template_based\": \"I had dinner with Claire, Hazel. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/05/10?\", \"Claire, Hazel\"], [\"what did I eat for dinner on 2013/05/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5192\", \"logical_representation\": [\"2013/05/10\", \"Piper, Nevaeh, Nora\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Piper, Nevaeh, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Nora in the early afternoon on 2013/05/10?\", \"17 minutes\"], [\"who did I talk to on 2013/05/10?\", \"Piper, Nevaeh, Nora\"], [\"Did I talk to Piper, Nevaeh, Nora on 2013/05/10?\", \"yes\"], [\"Did I talk to anyone on 2013/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5193\", \"logical_representation\": [\"2013/05/10\", \"Nevaeh\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 47 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the late afternoon on 2013/05/10?\", \"47 minutes\"], [\"who did I talk to on 2013/05/10?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2013/05/10?\", \"yes\"], [\"Did I talk to anyone on 2013/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5194\", \"logical_representation\": [\"2013/05/10\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I watched a movie for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/10?\", \"50 minutes\"], [\"what did I watch on tv on 2013/05/10?\", \"a movie\"], [\"Did I watch tv on 2013/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/11\": {\"exercise\": {\"eid\": \"e5195\", \"logical_representation\": [\"2013/05/11\", \"running\"], \"text_template_based\": \"I did running on 2013/05/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5196\", \"logical_representation\": [\"2013/05/11\", \"dinner\", \"indian food\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/05/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5197\", \"logical_representation\": [\"2013/05/11\", \"Layla, Lydia\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I talked to Layla, Lydia for 6 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia during lunch hours on 2013/05/11?\", \"6 minutes\"], [\"who did I talk to on 2013/05/11?\", \"Layla, Lydia\"], [\"Did I talk to Layla, Lydia on 2013/05/11?\", \"yes\"], [\"Did I talk to anyone on 2013/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5198\", \"logical_representation\": [\"2013/05/11\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/05/11?\", \"19 minutes\"], [\"what did I read on 2013/05/11?\", \"news\"], [\"Did I read on 2013/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/13\": {\"exercise\": {\"eid\": \"e5205\", \"logical_representation\": [\"2013/05/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/05/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5206\", \"logical_representation\": [\"2013/05/13\", \"dinner\", \"sandwich\", \"Avery\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/05/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5207\", \"logical_representation\": [\"2013/05/13\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/05/13?\", \"38 minutes\"], [\"what did I read on 2013/05/13?\", \"social media\"], [\"Did I read on 2013/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/15\": {\"breakfast\": {\"eid\": \"e5210\", \"logical_representation\": [\"2013/05/15\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/05/15?\", \"Andrew\"], [\"what did I eat for breakfast on 2013/05/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5211\", \"logical_representation\": [\"2013/05/15\", \"dinner\", \"pasta\", \"Rylee\"], \"text_template_based\": \"I had dinner with Rylee. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/05/15?\", \"Rylee\"], [\"what did I eat for dinner on 2013/05/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5212\", \"logical_representation\": [\"2013/05/15\", \"Lydia, Kinsley, Piper, Rylee\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley, Piper, Rylee for 13 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Piper, Rylee in the late afternoon on 2013/05/15?\", \"13 minutes\"], [\"who did I talk to on 2013/05/15?\", \"Lydia, Kinsley, Piper, Rylee\"], [\"Did I talk to Lydia, Kinsley, Piper, Rylee on 2013/05/15?\", \"yes\"], [\"Did I talk to anyone on 2013/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/16\": {\"breakfast\": {\"eid\": \"e5213\", \"logical_representation\": [\"2013/05/16\", \"breakfast\", \"toast and cheese\", \"Avery\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/05/16\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5214\", \"logical_representation\": [\"2013/05/16\", \"Claire, Olivia, Avery, Eva\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia, Avery, Eva for 16 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Avery, Eva in the early afternoon on 2013/05/16?\", \"16 minutes\"], [\"who did I talk to on 2013/05/16?\", \"Claire, Olivia, Avery, Eva\"], [\"Did I talk to Claire, Olivia, Avery, Eva on 2013/05/16?\", \"yes\"], [\"Did I talk to anyone on 2013/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5215\", \"logical_representation\": [\"2013/05/16\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/05/16?\", \"5 minutes\"], [\"what did I read on 2013/05/16?\", \"a book\"], [\"Did I read on 2013/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5216\", \"logical_representation\": [\"2013/05/16\", \"a tv series\", \"45 minutes\"], \"text_template_based\": \"I watched a tv series for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/16?\", \"45 minutes\"], [\"what did I watch on tv on 2013/05/16?\", \"a tv series\"], [\"Did I watch tv on 2013/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/18\": {\"chat0\": {\"eid\": \"e5222\", \"logical_representation\": [\"2013/05/18\", \"Rylee, Avery, Hazel, Piper\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Rylee, Avery, Hazel, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery, Hazel, Piper in the morning on 2013/05/18?\", \"27 minutes\"], [\"who did I talk to on 2013/05/18?\", \"Rylee, Avery, Hazel, Piper\"], [\"Did I talk to Rylee, Avery, Hazel, Piper on 2013/05/18?\", \"yes\"], [\"Did I talk to anyone on 2013/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5223\", \"logical_representation\": [\"2013/05/18\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I watched a tv series for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/18?\", \"34 minutes\"], [\"what did I watch on tv on 2013/05/18?\", \"a tv series\"], [\"Did I watch tv on 2013/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/19\": {\"lunch\": {\"eid\": \"e5224\", \"logical_representation\": [\"2013/05/19\", \"lunch\", \"chinese food\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had chinese food for lunch with Emily, Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/05/19?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2013/05/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5225\", \"logical_representation\": [\"2013/05/19\", \"dinner\", \"tacos\", \"Nora, Piper, Piper, Layla, Hazel, Rylee, Lydia, Avery, Nevaeh\"], \"text_template_based\": \"I had tacos for dinner with Nora, Piper, Piper, Layla, Hazel, Rylee, Lydia, Avery, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/05/19?\", \"Nora, Piper, Piper, Layla, Hazel, Rylee, Lydia, Avery, Nevaeh\"], [\"what did I eat for dinner on 2013/05/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5226\", \"logical_representation\": [\"2013/05/19\", \"Nora\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Nora for 5 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2013/05/19?\", \"5 minutes\"], [\"who did I talk to on 2013/05/19?\", \"Nora\"], [\"Did I talk to Nora on 2013/05/19?\", \"yes\"], [\"Did I talk to anyone on 2013/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5227\", \"logical_representation\": [\"2013/05/19\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/05/19?\", \"41 minutes\"], [\"what did I read on 2013/05/19?\", \"news\"], [\"Did I read on 2013/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/20\": {\"exercise\": {\"eid\": \"e5228\", \"logical_representation\": [\"2013/05/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/05/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5229\", \"logical_representation\": [\"2013/05/20\", \"Olivia\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2013/05/20?\", \"43 minutes\"], [\"who did I talk to on 2013/05/20?\", \"Olivia\"], [\"Did I talk to Olivia on 2013/05/20?\", \"yes\"], [\"Did I talk to anyone on 2013/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5230\", \"logical_representation\": [\"2013/05/20\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I watched a movie for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/20?\", \"6 minutes\"], [\"what did I watch on tv on 2013/05/20?\", \"a movie\"], [\"Did I watch tv on 2013/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/21\": {\"chat1\": {\"eid\": \"e5231\", \"logical_representation\": [\"2013/05/21\", \"Avery\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2013/05/21?\", \"29 minutes\"], [\"who did I talk to on 2013/05/21?\", \"Avery\"], [\"Did I talk to Avery on 2013/05/21?\", \"yes\"], [\"Did I talk to anyone on 2013/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5232\", \"logical_representation\": [\"2013/05/21\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/05/21?\", \"8 minutes\"], [\"what did I read on 2013/05/21?\", \"news\"], [\"Did I read on 2013/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/22\": {\"exercise\": {\"eid\": \"e5233\", \"logical_representation\": [\"2013/05/22\", \"running\"], \"text_template_based\": \"I did running on 2013/05/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5234\", \"logical_representation\": [\"2013/05/22\", \"lunch\", \"fish and chips\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/05/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2013/05/23\": {\"breakfast\": {\"eid\": \"e5235\", \"logical_representation\": [\"2013/05/23\", \"breakfast\", \"oatmeal\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had breakfast with Benjamin, Jackson, Avery, Willow. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/05/23?\", \"Benjamin, Jackson, Avery, Willow\"], [\"what did I eat for breakfast on 2013/05/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5236\", \"logical_representation\": [\"2013/05/23\", \"lunch\", \"indian food\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Emily, Kayden, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/05/23?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2013/05/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5237\", \"logical_representation\": [\"2013/05/23\", \"Olivia, Lydia, Nora\", \"in the early evening\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Olivia, Lydia, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia, Nora in the early evening on 2013/05/23?\", \"54 minutes\"], [\"who did I talk to on 2013/05/23?\", \"Olivia, Lydia, Nora\"], [\"Did I talk to Olivia, Lydia, Nora on 2013/05/23?\", \"yes\"], [\"Did I talk to anyone on 2013/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5238\", \"logical_representation\": [\"2013/05/23\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/05/23?\", \"40 minutes\"], [\"what did I read on 2013/05/23?\", \"social media\"], [\"Did I read on 2013/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/25\": {\"exercise\": {\"eid\": \"e5243\", \"logical_representation\": [\"2013/05/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/05/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5244\", \"logical_representation\": [\"2013/05/25\", \"dinner\", \"a burger\", \"Willow, Avery\"], \"text_template_based\": \"I had dinner with Willow, Avery. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/05/25?\", \"Willow, Avery\"], [\"what did I eat for dinner on 2013/05/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5245\", \"logical_representation\": [\"2013/05/25\", \"Avery, Layla, Kinsley, Lydia\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I talked to Avery, Layla, Kinsley, Lydia for 55 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Kinsley, Lydia during lunch hours on 2013/05/25?\", \"55 minutes\"], [\"who did I talk to on 2013/05/25?\", \"Avery, Layla, Kinsley, Lydia\"], [\"Did I talk to Avery, Layla, Kinsley, Lydia on 2013/05/25?\", \"yes\"], [\"Did I talk to anyone on 2013/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5246\", \"logical_representation\": [\"2013/05/25\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/05/25?\", \"19 minutes\"], [\"what did I read on 2013/05/25?\", \"a book\"], [\"Did I read on 2013/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5247\", \"logical_representation\": [\"2013/05/25\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I watched a tv series for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/25?\", \"32 minutes\"], [\"what did I watch on tv on 2013/05/25?\", \"a tv series\"], [\"Did I watch tv on 2013/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/26\": {\"chat0\": {\"eid\": \"e5248\", \"logical_representation\": [\"2013/05/26\", \"Layla, Eva, Nora, Hazel\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Layla, Eva, Nora, Hazel for 52 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Nora, Hazel late in the evening on 2013/05/26?\", \"52 minutes\"], [\"who did I talk to on 2013/05/26?\", \"Layla, Eva, Nora, Hazel\"], [\"Did I talk to Layla, Eva, Nora, Hazel on 2013/05/26?\", \"yes\"], [\"Did I talk to anyone on 2013/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5249\", \"logical_representation\": [\"2013/05/26\", \"Avery, Piper, Claire, Nevaeh\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Claire, Nevaeh for 15 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Claire, Nevaeh late in the evening on 2013/05/26?\", \"15 minutes\"], [\"who did I talk to on 2013/05/26?\", \"Avery, Piper, Claire, Nevaeh\"], [\"Did I talk to Avery, Piper, Claire, Nevaeh on 2013/05/26?\", \"yes\"], [\"Did I talk to anyone on 2013/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/28\": {\"dinner\": {\"eid\": \"e5255\", \"logical_representation\": [\"2013/05/28\", \"dinner\", \"a burger\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/05/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5256\", \"logical_representation\": [\"2013/05/28\", \"Nevaeh, Nora\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Nevaeh, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora late in the evening on 2013/05/28?\", \"11 minutes\"], [\"who did I talk to on 2013/05/28?\", \"Nevaeh, Nora\"], [\"Did I talk to Nevaeh, Nora on 2013/05/28?\", \"yes\"], [\"Did I talk to anyone on 2013/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5257\", \"logical_representation\": [\"2013/05/28\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/05/28?\", \"10 minutes\"], [\"what did I read on 2013/05/28?\", \"a book\"], [\"Did I read on 2013/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/29\": {\"exercise\": {\"eid\": \"e5258\", \"logical_representation\": [\"2013/05/29\", \"biking\"], \"text_template_based\": \"I did biking on 2013/05/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/29?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5259\", \"logical_representation\": [\"2013/05/29\", \"dinner\", \"indian food\", \"Andrew, Kayden\"], \"text_template_based\": \"I had indian food for dinner with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/05/29?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2013/05/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5260\", \"logical_representation\": [\"2013/05/29\", \"Kinsley\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2013/05/29?\", \"37 minutes\"], [\"who did I talk to on 2013/05/29?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2013/05/29?\", \"yes\"], [\"Did I talk to anyone on 2013/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/31\": {\"exercise\": {\"eid\": \"e5262\", \"logical_representation\": [\"2013/05/31\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/05/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/31?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5263\", \"logical_representation\": [\"2013/05/31\", \"breakfast\", \"oatmeal\", \"Carter, Kayden\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/05/31\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5264\", \"logical_representation\": [\"2013/05/31\", \"lunch\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/05/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5265\", \"logical_representation\": [\"2013/05/31\", \"dinner\", \"steak\", \"Benjamin, Avery\"], \"text_template_based\": \"I had dinner with Benjamin, Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/05/31?\", \"Benjamin, Avery\"], [\"what did I eat for dinner on 2013/05/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5266\", \"logical_representation\": [\"2013/05/31\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/05/31?\", \"35 minutes\"], [\"what did I read on 2013/05/31?\", \"news\"], [\"Did I read on 2013/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5267\", \"logical_representation\": [\"2013/05/31\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I watched a movie for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/31?\", \"14 minutes\"], [\"what did I watch on tv on 2013/05/31?\", \"a movie\"], [\"Did I watch tv on 2013/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/01\": {\"exercise\": {\"eid\": \"e5268\", \"logical_representation\": [\"2013/06/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/06/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5269\", \"logical_representation\": [\"2013/06/01\", \"breakfast\", \"oatmeal\", \"Hazel, Claire, Piper, Nora, Olivia, Piper, Rylee, Kinsley, Nevaeh, Avery, Lydia, Layla, Eva\"], \"text_template_based\": \"I had oatmeal for breakfast with Hazel, Claire, Piper, Nora, Olivia, Piper, Rylee, Kinsley, Nevaeh, Avery, Lydia, Layla, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/06/01?\", \"Hazel, Claire, Piper, Nora, Olivia, Piper, Rylee, Kinsley, Nevaeh, Avery, Lydia, Layla, Eva\"], [\"what did I eat for breakfast on 2013/06/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5270\", \"logical_representation\": [\"2013/06/01\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I had indian food for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/06/01?\", \"Kayden\"], [\"what did I eat for dinner on 2013/06/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5271\", \"logical_representation\": [\"2013/06/01\", \"Lydia\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2013/06/01?\", \"53 minutes\"], [\"who did I talk to on 2013/06/01?\", \"Lydia\"], [\"Did I talk to Lydia on 2013/06/01?\", \"yes\"], [\"Did I talk to anyone on 2013/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5272\", \"logical_representation\": [\"2013/06/01\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/06/01?\", \"50 minutes\"], [\"what did I read on 2013/06/01?\", \"news\"], [\"Did I read on 2013/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5273\", \"logical_representation\": [\"2013/06/01\", \"a documentary\", \"15 minutes\"], \"text_template_based\": \"I watched a documentary for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/01?\", \"15 minutes\"], [\"what did I watch on tv on 2013/06/01?\", \"a documentary\"], [\"Did I watch tv on 2013/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/03\": {\"breakfast\": {\"eid\": \"e5277\", \"logical_representation\": [\"2013/06/03\", \"breakfast\", \"pancakes\", \"Nora, Rylee, Piper, Nevaeh\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5278\", \"logical_representation\": [\"2013/06/03\", \"Nora, Piper, Olivia\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Nora, Piper, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Olivia during lunch hours on 2013/06/03?\", \"35 minutes\"], [\"who did I talk to on 2013/06/03?\", \"Nora, Piper, Olivia\"], [\"Did I talk to Nora, Piper, Olivia on 2013/06/03?\", \"yes\"], [\"Did I talk to anyone on 2013/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5279\", \"logical_representation\": [\"2013/06/03\", \"a documentary\", \"21 minutes\"], \"text_template_based\": \"I watched a documentary for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/03?\", \"21 minutes\"], [\"what did I watch on tv on 2013/06/03?\", \"a documentary\"], [\"Did I watch tv on 2013/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/04\": {\"chat0\": {\"eid\": \"e5280\", \"logical_representation\": [\"2013/06/04\", \"Claire, Kinsley, Layla\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I talked to Claire, Kinsley, Layla for 49 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Layla during lunch hours on 2013/06/04?\", \"49 minutes\"], [\"who did I talk to on 2013/06/04?\", \"Claire, Kinsley, Layla\"], [\"Did I talk to Claire, Kinsley, Layla on 2013/06/04?\", \"yes\"], [\"Did I talk to anyone on 2013/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/05\": {\"exercise\": {\"eid\": \"e5281\", \"logical_representation\": [\"2013/06/05\", \"running\"], \"text_template_based\": \"I did running on 2013/06/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/05?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5282\", \"logical_representation\": [\"2013/06/05\", \"breakfast\", \"toast and cheese\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Emily, Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/06/05?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for breakfast on 2013/06/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5283\", \"logical_representation\": [\"2013/06/05\", \"lunch\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I had pasta for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/06/05?\", \"Kayden\"], [\"what did I eat for lunch on 2013/06/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5284\", \"logical_representation\": [\"2013/06/05\", \"dinner\", \"tacos\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Carter, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/06/05?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for dinner on 2013/06/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5285\", \"logical_representation\": [\"2013/06/05\", \"Claire, Layla\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I talked to Claire, Layla for 33 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla in the morning on 2013/06/05?\", \"33 minutes\"], [\"who did I talk to on 2013/06/05?\", \"Claire, Layla\"], [\"Did I talk to Claire, Layla on 2013/06/05?\", \"yes\"], [\"Did I talk to anyone on 2013/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5286\", \"logical_representation\": [\"2013/06/05\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/06/05?\", \"29 minutes\"], [\"what did I read on 2013/06/05?\", \"social media\"], [\"Did I read on 2013/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5287\", \"logical_representation\": [\"2013/06/05\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I watched a tv series for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/05?\", \"17 minutes\"], [\"what did I watch on tv on 2013/06/05?\", \"a tv series\"], [\"Did I watch tv on 2013/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/06\": {\"exercise\": {\"eid\": \"e5288\", \"logical_representation\": [\"2013/06/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/06/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5289\", \"logical_representation\": [\"2013/06/06\", \"breakfast\", \"cereals\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/06\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5290\", \"logical_representation\": [\"2013/06/06\", \"lunch\", \"fish and chips\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/06/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5291\", \"logical_representation\": [\"2013/06/06\", \"Avery\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early afternoon on 2013/06/06?\", \"11 minutes\"], [\"who did I talk to on 2013/06/06?\", \"Avery\"], [\"Did I talk to Avery on 2013/06/06?\", \"yes\"], [\"Did I talk to anyone on 2013/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5292\", \"logical_representation\": [\"2013/06/06\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/06/06?\", \"8 minutes\"], [\"what did I read on 2013/06/06?\", \"a book\"], [\"Did I read on 2013/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5293\", \"logical_representation\": [\"2013/06/06\", \"news\", \"51 minutes\"], \"text_template_based\": \"I watched news for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/06?\", \"51 minutes\"], [\"what did I watch on tv on 2013/06/06?\", \"news\"], [\"Did I watch tv on 2013/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/07\": {\"dinner\": {\"eid\": \"e5294\", \"logical_representation\": [\"2013/06/07\", \"dinner\", \"chinese food\", \"Rylee, Layla, Avery, Nevaeh, Claire, Eva, Piper, Olivia, Lydia, Hazel, Piper, Nora, Kinsley\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/06/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5295\", \"logical_representation\": [\"2013/06/07\", \"Kinsley\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Kinsley for 38 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2013/06/07?\", \"38 minutes\"], [\"who did I talk to on 2013/06/07?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2013/06/07?\", \"yes\"], [\"Did I talk to anyone on 2013/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5296\", \"logical_representation\": [\"2013/06/07\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/06/07?\", \"55 minutes\"], [\"what did I read on 2013/06/07?\", \"social media\"], [\"Did I read on 2013/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5297\", \"logical_representation\": [\"2013/06/07\", \"news\", \"20 minutes\"], \"text_template_based\": \"I watched news for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/07?\", \"20 minutes\"], [\"what did I watch on tv on 2013/06/07?\", \"news\"], [\"Did I watch tv on 2013/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/09\": {\"lunch\": {\"eid\": \"e5301\", \"logical_representation\": [\"2013/06/09\", \"lunch\", \"sushi\", \"Olivia, Piper, Piper, Layla, Lydia, Nora, Avery\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/06/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5302\", \"logical_representation\": [\"2013/06/09\", \"Claire, Eva, Avery, Lydia\", \"in the late afternoon\", \"21 minutes\"], \"text_template_based\": \"I talked to Claire, Eva, Avery, Lydia for 21 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Avery, Lydia in the late afternoon on 2013/06/09?\", \"21 minutes\"], [\"who did I talk to on 2013/06/09?\", \"Claire, Eva, Avery, Lydia\"], [\"Did I talk to Claire, Eva, Avery, Lydia on 2013/06/09?\", \"yes\"], [\"Did I talk to anyone on 2013/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5303\", \"logical_representation\": [\"2013/06/09\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/06/09?\", \"44 minutes\"], [\"what did I read on 2013/06/09?\", \"social media\"], [\"Did I read on 2013/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/10\": {\"breakfast\": {\"eid\": \"e5304\", \"logical_representation\": [\"2013/06/10\", \"breakfast\", \"toast and cheese\", \"Jackson\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5305\", \"logical_representation\": [\"2013/06/10\", \"Lydia\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I talked to Lydia for 15 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2013/06/10?\", \"15 minutes\"], [\"who did I talk to on 2013/06/10?\", \"Lydia\"], [\"Did I talk to Lydia on 2013/06/10?\", \"yes\"], [\"Did I talk to anyone on 2013/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5306\", \"logical_representation\": [\"2013/06/10\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/06/10?\", \"13 minutes\"], [\"what did I read on 2013/06/10?\", \"a book\"], [\"Did I read on 2013/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/11\": {\"exercise\": {\"eid\": \"e5307\", \"logical_representation\": [\"2013/06/11\", \"running\"], \"text_template_based\": \"I did running on 2013/06/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5308\", \"logical_representation\": [\"2013/06/11\", \"Rylee, Avery, Piper, Eva\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery, Piper, Eva for 10 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery, Piper, Eva in the late afternoon on 2013/06/11?\", \"10 minutes\"], [\"who did I talk to on 2013/06/11?\", \"Rylee, Avery, Piper, Eva\"], [\"Did I talk to Rylee, Avery, Piper, Eva on 2013/06/11?\", \"yes\"], [\"Did I talk to anyone on 2013/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5309\", \"logical_representation\": [\"2013/06/11\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/06/11?\", \"24 minutes\"], [\"what did I read on 2013/06/11?\", \"a book\"], [\"Did I read on 2013/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5310\", \"logical_representation\": [\"2013/06/11\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I watched a documentary for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/11?\", \"23 minutes\"], [\"what did I watch on tv on 2013/06/11?\", \"a documentary\"], [\"Did I watch tv on 2013/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/12\": {\"breakfast\": {\"eid\": \"e5311\", \"logical_representation\": [\"2013/06/12\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5312\", \"logical_representation\": [\"2013/06/12\", \"a documentary\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/12?\", \"15 minutes\"], [\"what did I watch on tv on 2013/06/12?\", \"a documentary\"], [\"Did I watch tv on 2013/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/13\": {\"exercise\": {\"eid\": \"e5313\", \"logical_representation\": [\"2013/06/13\", \"biking\"], \"text_template_based\": \"I did biking on 2013/06/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5314\", \"logical_representation\": [\"2013/06/13\", \"dinner\", \"indian food\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/06/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5315\", \"logical_representation\": [\"2013/06/13\", \"Olivia\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2013/06/13?\", \"31 minutes\"], [\"who did I talk to on 2013/06/13?\", \"Olivia\"], [\"Did I talk to Olivia on 2013/06/13?\", \"yes\"], [\"Did I talk to anyone on 2013/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5316\", \"logical_representation\": [\"2013/06/13\", \"Eva\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Eva for 20 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2013/06/13?\", \"20 minutes\"], [\"who did I talk to on 2013/06/13?\", \"Eva\"], [\"Did I talk to Eva on 2013/06/13?\", \"yes\"], [\"Did I talk to anyone on 2013/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5317\", \"logical_representation\": [\"2013/06/13\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/06/13?\", \"55 minutes\"], [\"what did I read on 2013/06/13?\", \"social media\"], [\"Did I read on 2013/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5318\", \"logical_representation\": [\"2013/06/13\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/13?\", \"47 minutes\"], [\"what did I watch on tv on 2013/06/13?\", \"news\"], [\"Did I watch tv on 2013/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/14\": {\"exercise\": {\"eid\": \"e5319\", \"logical_representation\": [\"2013/06/14\", \"biking\"], \"text_template_based\": \"I did biking on 2013/06/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5320\", \"logical_representation\": [\"2013/06/14\", \"breakfast\", \"oatmeal\", \"Willow, Jackson\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5321\", \"logical_representation\": [\"2013/06/14\", \"dinner\", \"steak\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had steak for dinner with Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/06/14?\", \"Avery, Jackson, Willow\"], [\"what did I eat for dinner on 2013/06/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5322\", \"logical_representation\": [\"2013/06/14\", \"Nora, Hazel\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Nora, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel in the late afternoon on 2013/06/14?\", \"9 minutes\"], [\"who did I talk to on 2013/06/14?\", \"Nora, Hazel\"], [\"Did I talk to Nora, Hazel on 2013/06/14?\", \"yes\"], [\"Did I talk to anyone on 2013/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5323\", \"logical_representation\": [\"2013/06/14\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/06/14?\", \"55 minutes\"], [\"what did I read on 2013/06/14?\", \"social media\"], [\"Did I read on 2013/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/15\": {\"exercise\": {\"eid\": \"e5324\", \"logical_representation\": [\"2013/06/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/06/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5325\", \"logical_representation\": [\"2013/06/15\", \"lunch\", \"tacos\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/06/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5326\", \"logical_representation\": [\"2013/06/15\", \"Rylee\", \"during lunch hours\", \"50 minutes\"], \"text_template_based\": \"I talked to Rylee for 50 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2013/06/15?\", \"50 minutes\"], [\"who did I talk to on 2013/06/15?\", \"Rylee\"], [\"Did I talk to Rylee on 2013/06/15?\", \"yes\"], [\"Did I talk to anyone on 2013/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5327\", \"logical_representation\": [\"2013/06/15\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/06/15?\", \"48 minutes\"], [\"what did I read on 2013/06/15?\", \"social media\"], [\"Did I read on 2013/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/16\": {\"exercise\": {\"eid\": \"e5328\", \"logical_representation\": [\"2013/06/16\", \"biking\"], \"text_template_based\": \"I did biking on 2013/06/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5329\", \"logical_representation\": [\"2013/06/16\", \"Nora, Hazel, Eva\", \"in the late afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Nora, Hazel, Eva for 31 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel, Eva in the late afternoon on 2013/06/16?\", \"31 minutes\"], [\"who did I talk to on 2013/06/16?\", \"Nora, Hazel, Eva\"], [\"Did I talk to Nora, Hazel, Eva on 2013/06/16?\", \"yes\"], [\"Did I talk to anyone on 2013/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5330\", \"logical_representation\": [\"2013/06/16\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/06/16?\", \"33 minutes\"], [\"what did I read on 2013/06/16?\", \"social media\"], [\"Did I read on 2013/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/18\": {\"exercise\": {\"eid\": \"e5333\", \"logical_representation\": [\"2013/06/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/06/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5334\", \"logical_representation\": [\"2013/06/18\", \"breakfast\", \"cereals\", \"Olivia, Avery, Rylee, Claire, Nevaeh, Hazel, Eva\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5335\", \"logical_representation\": [\"2013/06/18\", \"Nora, Piper, Olivia\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Nora, Piper, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Olivia in the late afternoon on 2013/06/18?\", \"40 minutes\"], [\"who did I talk to on 2013/06/18?\", \"Nora, Piper, Olivia\"], [\"Did I talk to Nora, Piper, Olivia on 2013/06/18?\", \"yes\"], [\"Did I talk to anyone on 2013/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5336\", \"logical_representation\": [\"2013/06/18\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/06/18?\", \"13 minutes\"], [\"what did I read on 2013/06/18?\", \"a book\"], [\"Did I read on 2013/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/19\": {\"exercise\": {\"eid\": \"e5337\", \"logical_representation\": [\"2013/06/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/06/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5338\", \"logical_representation\": [\"2013/06/19\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5339\", \"logical_representation\": [\"2013/06/19\", \"lunch\", \"steak\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/06/19?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2013/06/19\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5340\", \"logical_representation\": [\"2013/06/19\", \"dinner\", \"fish and chips\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/06/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5341\", \"logical_representation\": [\"2013/06/19\", \"Nora\", \"in the morning\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2013/06/19?\", \"34 minutes\"], [\"who did I talk to on 2013/06/19?\", \"Nora\"], [\"Did I talk to Nora on 2013/06/19?\", \"yes\"], [\"Did I talk to anyone on 2013/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5342\", \"logical_representation\": [\"2013/06/19\", \"Lydia, Olivia, Avery\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Lydia, Olivia, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Avery in the early evening on 2013/06/19?\", \"9 minutes\"], [\"who did I talk to on 2013/06/19?\", \"Lydia, Olivia, Avery\"], [\"Did I talk to Lydia, Olivia, Avery on 2013/06/19?\", \"yes\"], [\"Did I talk to anyone on 2013/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/20\": {\"exercise\": {\"eid\": \"e5343\", \"logical_representation\": [\"2013/06/20\", \"running\"], \"text_template_based\": \"I did running on 2013/06/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/20?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5344\", \"logical_representation\": [\"2013/06/20\", \"lunch\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/06/20?\", \"Emily\"], [\"what did I eat for lunch on 2013/06/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5345\", \"logical_representation\": [\"2013/06/20\", \"dinner\", \"pasta\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had pasta for dinner with Kayden, Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/06/20?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for dinner on 2013/06/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5346\", \"logical_representation\": [\"2013/06/20\", \"Layla, Avery, Piper\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Layla, Avery, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Piper during lunch hours on 2013/06/20?\", \"33 minutes\"], [\"who did I talk to on 2013/06/20?\", \"Layla, Avery, Piper\"], [\"Did I talk to Layla, Avery, Piper on 2013/06/20?\", \"yes\"], [\"Did I talk to anyone on 2013/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5347\", \"logical_representation\": [\"2013/06/20\", \"Avery, Piper, Lydia\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Lydia for 17 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Lydia during lunch hours on 2013/06/20?\", \"17 minutes\"], [\"who did I talk to on 2013/06/20?\", \"Avery, Piper, Lydia\"], [\"Did I talk to Avery, Piper, Lydia on 2013/06/20?\", \"yes\"], [\"Did I talk to anyone on 2013/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5348\", \"logical_representation\": [\"2013/06/20\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/06/20?\", \"40 minutes\"], [\"what did I read on 2013/06/20?\", \"news\"], [\"Did I read on 2013/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/21\": {\"breakfast\": {\"eid\": \"e5349\", \"logical_representation\": [\"2013/06/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Lydia, Olivia, Rylee, Hazel, Layla, Kinsley, Avery, Nevaeh\"], \"text_template_based\": \"I had breakfast with Lydia, Olivia, Rylee, Hazel, Layla, Kinsley, Avery, Nevaeh. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/06/21?\", \"Lydia, Olivia, Rylee, Hazel, Layla, Kinsley, Avery, Nevaeh\"], [\"what did I eat for breakfast on 2013/06/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5350\", \"logical_representation\": [\"2013/06/21\", \"lunch\", \"fish and chips\", \"Rylee, Avery, Layla\"], \"text_template_based\": \"I had lunch with Rylee, Avery, Layla. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/06/21?\", \"Rylee, Avery, Layla\"], [\"what did I eat for lunch on 2013/06/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5351\", \"logical_representation\": [\"2013/06/21\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/06/21?\", \"14 minutes\"], [\"what did I read on 2013/06/21?\", \"social media\"], [\"Did I read on 2013/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/22\": {\"breakfast\": {\"eid\": \"e5352\", \"logical_representation\": [\"2013/06/22\", \"breakfast\", \"toast and cheese\", \"Piper, Claire, Hazel, Nora\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5353\", \"logical_representation\": [\"2013/06/22\", \"dinner\", \"a burger\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/06/22\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2013/06/23\": {\"breakfast\": {\"eid\": \"e5354\", \"logical_representation\": [\"2013/06/23\", \"breakfast\", \"cereals\", \"Benjamin, Willow\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5355\", \"logical_representation\": [\"2013/06/23\", \"dinner\", \"steak\", \"Eva, Olivia\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/06/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5356\", \"logical_representation\": [\"2013/06/23\", \"Kinsley, Nevaeh\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Kinsley, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh in the early evening on 2013/06/23?\", \"18 minutes\"], [\"who did I talk to on 2013/06/23?\", \"Kinsley, Nevaeh\"], [\"Did I talk to Kinsley, Nevaeh on 2013/06/23?\", \"yes\"], [\"Did I talk to anyone on 2013/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5357\", \"logical_representation\": [\"2013/06/23\", \"a movie\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/23?\", \"49 minutes\"], [\"what did I watch on tv on 2013/06/23?\", \"a movie\"], [\"Did I watch tv on 2013/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/24\": {\"chat0\": {\"eid\": \"e5358\", \"logical_representation\": [\"2013/06/24\", \"Rylee, Nora, Eva\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Rylee, Nora, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Eva in the late afternoon on 2013/06/24?\", \"48 minutes\"], [\"who did I talk to on 2013/06/24?\", \"Rylee, Nora, Eva\"], [\"Did I talk to Rylee, Nora, Eva on 2013/06/24?\", \"yes\"], [\"Did I talk to anyone on 2013/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5359\", \"logical_representation\": [\"2013/06/24\", \"a tv series\", \"15 minutes\"], \"text_template_based\": \"I watched a tv series for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/24?\", \"15 minutes\"], [\"what did I watch on tv on 2013/06/24?\", \"a tv series\"], [\"Did I watch tv on 2013/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/25\": {\"exercise\": {\"eid\": \"e5360\", \"logical_representation\": [\"2013/06/25\", \"biking\"], \"text_template_based\": \"I did biking on 2013/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/25?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5361\", \"logical_representation\": [\"2013/06/25\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/06/25?\", \"23 minutes\"], [\"what did I read on 2013/06/25?\", \"a book\"], [\"Did I read on 2013/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5362\", \"logical_representation\": [\"2013/06/25\", \"a tv series\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/25?\", \"45 minutes\"], [\"what did I watch on tv on 2013/06/25?\", \"a tv series\"], [\"Did I watch tv on 2013/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/27\": {\"chat0\": {\"eid\": \"e5367\", \"logical_representation\": [\"2013/06/27\", \"Avery, Eva, Nora, Rylee\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I talked to Avery, Eva, Nora, Rylee for 22 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Nora, Rylee in the morning on 2013/06/27?\", \"22 minutes\"], [\"who did I talk to on 2013/06/27?\", \"Avery, Eva, Nora, Rylee\"], [\"Did I talk to Avery, Eva, Nora, Rylee on 2013/06/27?\", \"yes\"], [\"Did I talk to anyone on 2013/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5368\", \"logical_representation\": [\"2013/06/27\", \"Claire\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I talked to Claire for 27 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2013/06/27?\", \"27 minutes\"], [\"who did I talk to on 2013/06/27?\", \"Claire\"], [\"Did I talk to Claire on 2013/06/27?\", \"yes\"], [\"Did I talk to anyone on 2013/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/28\": {\"lunch\": {\"eid\": \"e5369\", \"logical_representation\": [\"2013/06/28\", \"lunch\", \"chinese food\", \"Jackson, Benjamin\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/06/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5370\", \"logical_representation\": [\"2013/06/28\", \"dinner\", \"a burger\", \"Olivia, Piper, Hazel, Eva, Avery, Layla, Nora, Claire, Piper, Kinsley, Rylee, Lydia, Nevaeh\"], \"text_template_based\": \"I had dinner with Olivia, Piper, Hazel, Eva, Avery, Layla, Nora, Claire, Piper, Kinsley, Rylee, Lydia, Nevaeh. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/06/28?\", \"Olivia, Piper, Hazel, Eva, Avery, Layla, Nora, Claire, Piper, Kinsley, Rylee, Lydia, Nevaeh\"], [\"what did I eat for dinner on 2013/06/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5371\", \"logical_representation\": [\"2013/06/28\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/06/28?\", \"29 minutes\"], [\"what did I read on 2013/06/28?\", \"social media\"], [\"Did I read on 2013/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5372\", \"logical_representation\": [\"2013/06/28\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/28?\", \"27 minutes\"], [\"what did I watch on tv on 2013/06/28?\", \"news\"], [\"Did I watch tv on 2013/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/01\": {\"exercise\": {\"eid\": \"e5380\", \"logical_representation\": [\"2013/07/01\", \"running\"], \"text_template_based\": \"I did running on 2013/07/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5381\", \"logical_representation\": [\"2013/07/01\", \"breakfast\", \"toast and cheese\", \"Claire, Piper, Layla, Nevaeh, Rylee, Avery, Olivia, Piper\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5382\", \"logical_representation\": [\"2013/07/01\", \"lunch\", \"pasta\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/07/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5383\", \"logical_representation\": [\"2013/07/01\", \"Nevaeh, Lydia\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia for 6 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia in the early evening on 2013/07/01?\", \"6 minutes\"], [\"who did I talk to on 2013/07/01?\", \"Nevaeh, Lydia\"], [\"Did I talk to Nevaeh, Lydia on 2013/07/01?\", \"yes\"], [\"Did I talk to anyone on 2013/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/02\": {\"breakfast\": {\"eid\": \"e5384\", \"logical_representation\": [\"2013/07/02\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5385\", \"logical_representation\": [\"2013/07/02\", \"lunch\", \"tacos\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I had tacos for lunch with Jackson, Avery, Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/07/02?\", \"Jackson, Avery, Benjamin, Willow\"], [\"what did I eat for lunch on 2013/07/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5386\", \"logical_representation\": [\"2013/07/02\", \"dinner\", \"indian food\", \"Olivia, Kinsley, Lydia, Eva, Claire, Rylee, Hazel, Avery, Layla, Nora\"], \"text_template_based\": \"I had indian food for dinner with Olivia, Kinsley, Lydia, Eva, Claire, Rylee, Hazel, Avery, Layla, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/07/02?\", \"Olivia, Kinsley, Lydia, Eva, Claire, Rylee, Hazel, Avery, Layla, Nora\"], [\"what did I eat for dinner on 2013/07/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5387\", \"logical_representation\": [\"2013/07/02\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/07/02?\", \"18 minutes\"], [\"what did I read on 2013/07/02?\", \"social media\"], [\"Did I read on 2013/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5388\", \"logical_representation\": [\"2013/07/02\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I watched a tv series for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/02?\", \"24 minutes\"], [\"what did I watch on tv on 2013/07/02?\", \"a tv series\"], [\"Did I watch tv on 2013/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/03\": {\"exercise\": {\"eid\": \"e5389\", \"logical_representation\": [\"2013/07/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/07/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2013/07/06\": {\"exercise\": {\"eid\": \"e5399\", \"logical_representation\": [\"2013/07/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/07/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5400\", \"logical_representation\": [\"2013/07/06\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Emily, Andrew, Kayden. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/07/06?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for breakfast on 2013/07/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5401\", \"logical_representation\": [\"2013/07/06\", \"lunch\", \"sandwich\", \"Carter, Kayden\"], \"text_template_based\": \"I had sandwich for lunch with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/07/06?\", \"Carter, Kayden\"], [\"what did I eat for lunch on 2013/07/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5402\", \"logical_representation\": [\"2013/07/06\", \"Piper, Claire, Nora\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Piper, Claire, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Nora in the morning on 2013/07/06?\", \"14 minutes\"], [\"who did I talk to on 2013/07/06?\", \"Piper, Claire, Nora\"], [\"Did I talk to Piper, Claire, Nora on 2013/07/06?\", \"yes\"], [\"Did I talk to anyone on 2013/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5403\", \"logical_representation\": [\"2013/07/06\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/07/06?\", \"8 minutes\"], [\"what did I read on 2013/07/06?\", \"social media\"], [\"Did I read on 2013/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5404\", \"logical_representation\": [\"2013/07/06\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I watched a documentary for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/06?\", \"20 minutes\"], [\"what did I watch on tv on 2013/07/06?\", \"a documentary\"], [\"Did I watch tv on 2013/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/07\": {\"exercise\": {\"eid\": \"e5405\", \"logical_representation\": [\"2013/07/07\", \"running\"], \"text_template_based\": \"I did running on 2013/07/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/07?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5406\", \"logical_representation\": [\"2013/07/07\", \"dinner\", \"indian food\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/07/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5407\", \"logical_representation\": [\"2013/07/07\", \"Avery, Lydia, Olivia\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia, Olivia for 38 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Olivia in the late afternoon on 2013/07/07?\", \"38 minutes\"], [\"who did I talk to on 2013/07/07?\", \"Avery, Lydia, Olivia\"], [\"Did I talk to Avery, Lydia, Olivia on 2013/07/07?\", \"yes\"], [\"Did I talk to anyone on 2013/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5408\", \"logical_representation\": [\"2013/07/07\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/07/07?\", \"41 minutes\"], [\"what did I read on 2013/07/07?\", \"news\"], [\"Did I read on 2013/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/08\": {\"exercise\": {\"eid\": \"e5409\", \"logical_representation\": [\"2013/07/08\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/07/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/08?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5410\", \"logical_representation\": [\"2013/07/08\", \"lunch\", \"pasta\", \"Lydia, Nora, Hazel, Eva\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/07/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5411\", \"logical_representation\": [\"2013/07/08\", \"Claire, Hazel, Layla, Rylee\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Claire, Hazel, Layla, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Layla, Rylee in the late afternoon on 2013/07/08?\", \"13 minutes\"], [\"who did I talk to on 2013/07/08?\", \"Claire, Hazel, Layla, Rylee\"], [\"Did I talk to Claire, Hazel, Layla, Rylee on 2013/07/08?\", \"yes\"], [\"Did I talk to anyone on 2013/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/09\": {\"breakfast\": {\"eid\": \"e5412\", \"logical_representation\": [\"2013/07/09\", \"breakfast\", \"cereals\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5413\", \"logical_representation\": [\"2013/07/09\", \"lunch\", \"chinese food\", \"Willow, Benjamin\"], \"text_template_based\": \"I had chinese food for lunch with Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/07/09?\", \"Willow, Benjamin\"], [\"what did I eat for lunch on 2013/07/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5414\", \"logical_representation\": [\"2013/07/09\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/07/09?\", \"12 minutes\"], [\"what did I read on 2013/07/09?\", \"news\"], [\"Did I read on 2013/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/10\": {\"breakfast\": {\"eid\": \"e5415\", \"logical_representation\": [\"2013/07/10\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Kayden, Emily, Carter, Andrew. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/07/10?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2013/07/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5416\", \"logical_representation\": [\"2013/07/10\", \"Rylee, Piper, Piper\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper, Piper for 14 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Piper in the early evening on 2013/07/10?\", \"14 minutes\"], [\"who did I talk to on 2013/07/10?\", \"Rylee, Piper, Piper\"], [\"Did I talk to Rylee, Piper, Piper on 2013/07/10?\", \"yes\"], [\"Did I talk to anyone on 2013/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5417\", \"logical_representation\": [\"2013/07/10\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/07/10?\", \"47 minutes\"], [\"what did I read on 2013/07/10?\", \"news\"], [\"Did I read on 2013/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/11\": {\"breakfast\": {\"eid\": \"e5418\", \"logical_representation\": [\"2013/07/11\", \"breakfast\", \"toast and cheese\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2013/07/12\": {\"breakfast\": {\"eid\": \"e5419\", \"logical_representation\": [\"2013/07/12\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5420\", \"logical_representation\": [\"2013/07/12\", \"lunch\", \"fish and chips\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Kayden, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/07/12?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2013/07/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5421\", \"logical_representation\": [\"2013/07/12\", \"Avery, Lydia, Nora\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Avery, Lydia, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Nora late in the evening on 2013/07/12?\", \"46 minutes\"], [\"who did I talk to on 2013/07/12?\", \"Avery, Lydia, Nora\"], [\"Did I talk to Avery, Lydia, Nora on 2013/07/12?\", \"yes\"], [\"Did I talk to anyone on 2013/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5422\", \"logical_representation\": [\"2013/07/12\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I watched a tv series for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/12?\", \"43 minutes\"], [\"what did I watch on tv on 2013/07/12?\", \"a tv series\"], [\"Did I watch tv on 2013/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/13\": {\"exercise\": {\"eid\": \"e5423\", \"logical_representation\": [\"2013/07/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/07/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5424\", \"logical_representation\": [\"2013/07/13\", \"dinner\", \"chinese food\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/07/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5425\", \"logical_representation\": [\"2013/07/13\", \"Piper, Hazel\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel for 19 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel in the early afternoon on 2013/07/13?\", \"19 minutes\"], [\"who did I talk to on 2013/07/13?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2013/07/13?\", \"yes\"], [\"Did I talk to anyone on 2013/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5426\", \"logical_representation\": [\"2013/07/13\", \"Hazel, Eva\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Hazel, Eva for 39 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Eva in the late afternoon on 2013/07/13?\", \"39 minutes\"], [\"who did I talk to on 2013/07/13?\", \"Hazel, Eva\"], [\"Did I talk to Hazel, Eva on 2013/07/13?\", \"yes\"], [\"Did I talk to anyone on 2013/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5427\", \"logical_representation\": [\"2013/07/13\", \"news\", \"29 minutes\"], \"text_template_based\": \"I watched news for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/13?\", \"29 minutes\"], [\"what did I watch on tv on 2013/07/13?\", \"news\"], [\"Did I watch tv on 2013/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/14\": {\"exercise\": {\"eid\": \"e5428\", \"logical_representation\": [\"2013/07/14\", \"biking\"], \"text_template_based\": \"I did biking on 2013/07/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5429\", \"logical_representation\": [\"2013/07/14\", \"breakfast\", \"pancakes\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5430\", \"logical_representation\": [\"2013/07/14\", \"dinner\", \"steak\", \"Andrew\"], \"text_template_based\": \"I had steak for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/07/14?\", \"Andrew\"], [\"what did I eat for dinner on 2013/07/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5431\", \"logical_representation\": [\"2013/07/14\", \"Claire, Hazel, Eva\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Claire, Hazel, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Eva in the morning on 2013/07/14?\", \"46 minutes\"], [\"who did I talk to on 2013/07/14?\", \"Claire, Hazel, Eva\"], [\"Did I talk to Claire, Hazel, Eva on 2013/07/14?\", \"yes\"], [\"Did I talk to anyone on 2013/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5432\", \"logical_representation\": [\"2013/07/14\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/07/14?\", \"5 minutes\"], [\"what did I read on 2013/07/14?\", \"news\"], [\"Did I read on 2013/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/15\": {\"exercise\": {\"eid\": \"e5433\", \"logical_representation\": [\"2013/07/15\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/07/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/15?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5434\", \"logical_representation\": [\"2013/07/15\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5435\", \"logical_representation\": [\"2013/07/15\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/07/15?\", \"33 minutes\"], [\"what did I read on 2013/07/15?\", \"a book\"], [\"Did I read on 2013/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/17\": {\"exercise\": {\"eid\": \"e5440\", \"logical_representation\": [\"2013/07/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/07/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5441\", \"logical_representation\": [\"2013/07/17\", \"dinner\", \"steak\", \"Kayden, Carter\"], \"text_template_based\": \"I had steak for dinner with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/07/17?\", \"Kayden, Carter\"], [\"what did I eat for dinner on 2013/07/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5442\", \"logical_representation\": [\"2013/07/17\", \"Lydia, Nevaeh\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Lydia, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh in the early afternoon on 2013/07/17?\", \"19 minutes\"], [\"who did I talk to on 2013/07/17?\", \"Lydia, Nevaeh\"], [\"Did I talk to Lydia, Nevaeh on 2013/07/17?\", \"yes\"], [\"Did I talk to anyone on 2013/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5443\", \"logical_representation\": [\"2013/07/17\", \"Nora\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Nora for 29 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2013/07/17?\", \"29 minutes\"], [\"who did I talk to on 2013/07/17?\", \"Nora\"], [\"Did I talk to Nora on 2013/07/17?\", \"yes\"], [\"Did I talk to anyone on 2013/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5444\", \"logical_representation\": [\"2013/07/17\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/17?\", \"16 minutes\"], [\"what did I watch on tv on 2013/07/17?\", \"news\"], [\"Did I watch tv on 2013/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/18\": {\"breakfast\": {\"eid\": \"e5445\", \"logical_representation\": [\"2013/07/18\", \"breakfast\", \"pancakes\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Emily, Kayden, Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/07/18?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for breakfast on 2013/07/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5446\", \"logical_representation\": [\"2013/07/18\", \"dinner\", \"sandwich\", \"Nora, Lydia, Olivia, Piper\"], \"text_template_based\": \"I had dinner with Nora, Lydia, Olivia, Piper. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/07/18?\", \"Nora, Lydia, Olivia, Piper\"], [\"what did I eat for dinner on 2013/07/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5447\", \"logical_representation\": [\"2013/07/18\", \"Olivia, Nora, Hazel\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora, Hazel for 32 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Hazel in the early evening on 2013/07/18?\", \"32 minutes\"], [\"who did I talk to on 2013/07/18?\", \"Olivia, Nora, Hazel\"], [\"Did I talk to Olivia, Nora, Hazel on 2013/07/18?\", \"yes\"], [\"Did I talk to anyone on 2013/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5448\", \"logical_representation\": [\"2013/07/18\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/07/18?\", \"48 minutes\"], [\"what did I read on 2013/07/18?\", \"news\"], [\"Did I read on 2013/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/20\": {\"chat0\": {\"eid\": \"e5452\", \"logical_representation\": [\"2013/07/20\", \"Lydia\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2013/07/20?\", \"28 minutes\"], [\"who did I talk to on 2013/07/20?\", \"Lydia\"], [\"Did I talk to Lydia on 2013/07/20?\", \"yes\"], [\"Did I talk to anyone on 2013/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5453\", \"logical_representation\": [\"2013/07/20\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/20?\", \"41 minutes\"], [\"what did I watch on tv on 2013/07/20?\", \"a movie\"], [\"Did I watch tv on 2013/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/21\": {\"exercise\": {\"eid\": \"e5454\", \"logical_representation\": [\"2013/07/21\", \"running\"], \"text_template_based\": \"I did running on 2013/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5455\", \"logical_representation\": [\"2013/07/21\", \"breakfast\", \"pancakes\", \"Claire, Olivia, Piper, Nora, Eva, Layla, Kinsley, Rylee, Avery\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5456\", \"logical_representation\": [\"2013/07/21\", \"lunch\", \"chinese food\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/07/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5457\", \"logical_representation\": [\"2013/07/21\", \"Eva, Kinsley, Hazel\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley, Hazel for 42 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Hazel in the early evening on 2013/07/21?\", \"42 minutes\"], [\"who did I talk to on 2013/07/21?\", \"Eva, Kinsley, Hazel\"], [\"Did I talk to Eva, Kinsley, Hazel on 2013/07/21?\", \"yes\"], [\"Did I talk to anyone on 2013/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5458\", \"logical_representation\": [\"2013/07/21\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/21?\", \"26 minutes\"], [\"what did I watch on tv on 2013/07/21?\", \"news\"], [\"Did I watch tv on 2013/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/22\": {\"chat1\": {\"eid\": \"e5459\", \"logical_representation\": [\"2013/07/22\", \"Piper, Lydia, Avery, Olivia\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Avery, Olivia for 8 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Avery, Olivia in the early afternoon on 2013/07/22?\", \"8 minutes\"], [\"who did I talk to on 2013/07/22?\", \"Piper, Lydia, Avery, Olivia\"], [\"Did I talk to Piper, Lydia, Avery, Olivia on 2013/07/22?\", \"yes\"], [\"Did I talk to anyone on 2013/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5460\", \"logical_representation\": [\"2013/07/22\", \"a book\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/07/22?\", \"21 minutes\"], [\"what did I read on 2013/07/22?\", \"a book\"], [\"Did I read on 2013/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/23\": {\"exercise\": {\"eid\": \"e5461\", \"logical_representation\": [\"2013/07/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/07/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5462\", \"logical_representation\": [\"2013/07/23\", \"breakfast\", \"oatmeal\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5463\", \"logical_representation\": [\"2013/07/23\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/07/23?\", \"44 minutes\"], [\"what did I read on 2013/07/23?\", \"news\"], [\"Did I read on 2013/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/24\": {\"exercise\": {\"eid\": \"e5464\", \"logical_representation\": [\"2013/07/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/07/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5465\", \"logical_representation\": [\"2013/07/24\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5466\", \"logical_representation\": [\"2013/07/24\", \"lunch\", \"a burger\", \"Layla, Olivia\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/07/24\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5467\", \"logical_representation\": [\"2013/07/24\", \"Layla, Nevaeh, Eva\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Layla, Nevaeh, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Eva late in the evening on 2013/07/24?\", \"40 minutes\"], [\"who did I talk to on 2013/07/24?\", \"Layla, Nevaeh, Eva\"], [\"Did I talk to Layla, Nevaeh, Eva on 2013/07/24?\", \"yes\"], [\"Did I talk to anyone on 2013/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/26\": {\"exercise\": {\"eid\": \"e5472\", \"logical_representation\": [\"2013/07/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5473\", \"logical_representation\": [\"2013/07/26\", \"Claire, Piper\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Claire, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper late in the evening on 2013/07/26?\", \"30 minutes\"], [\"who did I talk to on 2013/07/26?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2013/07/26?\", \"yes\"], [\"Did I talk to anyone on 2013/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5474\", \"logical_representation\": [\"2013/07/26\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/07/26?\", \"33 minutes\"], [\"what did I read on 2013/07/26?\", \"social media\"], [\"Did I read on 2013/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/27\": {\"breakfast\": {\"eid\": \"e5475\", \"logical_representation\": [\"2013/07/27\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5476\", \"logical_representation\": [\"2013/07/27\", \"lunch\", \"fish and chips\", \"Willow\"], \"text_template_based\": \"I had lunch with Willow. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/07/27?\", \"Willow\"], [\"what did I eat for lunch on 2013/07/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5477\", \"logical_representation\": [\"2013/07/27\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/07/27?\", \"9 minutes\"], [\"what did I read on 2013/07/27?\", \"social media\"], [\"Did I read on 2013/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5478\", \"logical_representation\": [\"2013/07/27\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I watched a tv series for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/27?\", \"35 minutes\"], [\"what did I watch on tv on 2013/07/27?\", \"a tv series\"], [\"Did I watch tv on 2013/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/28\": {\"exercise\": {\"eid\": \"e5479\", \"logical_representation\": [\"2013/07/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/07/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5480\", \"logical_representation\": [\"2013/07/28\", \"lunch\", \"sandwich\", \"Olivia, Nevaeh, Piper, Eva, Nora, Hazel, Avery, Piper, Layla, Kinsley, Claire\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/07/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5481\", \"logical_representation\": [\"2013/07/28\", \"dinner\", \"a burger\", \"Emily, Kayden\"], \"text_template_based\": \"I had a burger for dinner with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/07/28?\", \"Emily, Kayden\"], [\"what did I eat for dinner on 2013/07/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5482\", \"logical_representation\": [\"2013/07/28\", \"Piper\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Piper for 55 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2013/07/28?\", \"55 minutes\"], [\"who did I talk to on 2013/07/28?\", \"Piper\"], [\"Did I talk to Piper on 2013/07/28?\", \"yes\"], [\"Did I talk to anyone on 2013/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5483\", \"logical_representation\": [\"2013/07/28\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/07/28?\", \"9 minutes\"], [\"what did I read on 2013/07/28?\", \"news\"], [\"Did I read on 2013/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/31\": {\"breakfast\": {\"eid\": \"e5489\", \"logical_representation\": [\"2013/07/31\", \"breakfast\", \"eggs, sausages, and bread\", \"Lydia, Nora, Avery, Kinsley, Olivia, Nevaeh, Rylee, Eva, Hazel\"], \"text_template_based\": \"I had breakfast with Lydia, Nora, Avery, Kinsley, Olivia, Nevaeh, Rylee, Eva, Hazel. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/07/31?\", \"Lydia, Nora, Avery, Kinsley, Olivia, Nevaeh, Rylee, Eva, Hazel\"], [\"what did I eat for breakfast on 2013/07/31\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5490\", \"logical_representation\": [\"2013/07/31\", \"lunch\", \"steak\", \"Emily, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Andrew. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/07/31?\", \"Emily, Andrew\"], [\"what did I eat for lunch on 2013/07/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5491\", \"logical_representation\": [\"2013/07/31\", \"dinner\", \"indian food\", \"Rylee, Avery, Nora\"], \"text_template_based\": \"I had indian food for dinner with Rylee, Avery, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/07/31?\", \"Rylee, Avery, Nora\"], [\"what did I eat for dinner on 2013/07/31\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5492\", \"logical_representation\": [\"2013/07/31\", \"Lydia, Rylee, Nora\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee, Nora for 14 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Nora during lunch hours on 2013/07/31?\", \"14 minutes\"], [\"who did I talk to on 2013/07/31?\", \"Lydia, Rylee, Nora\"], [\"Did I talk to Lydia, Rylee, Nora on 2013/07/31?\", \"yes\"], [\"Did I talk to anyone on 2013/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5493\", \"logical_representation\": [\"2013/07/31\", \"Lydia, Eva\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Lydia, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva in the early evening on 2013/07/31?\", \"20 minutes\"], [\"who did I talk to on 2013/07/31?\", \"Lydia, Eva\"], [\"Did I talk to Lydia, Eva on 2013/07/31?\", \"yes\"], [\"Did I talk to anyone on 2013/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5494\", \"logical_representation\": [\"2013/07/31\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/07/31?\", \"54 minutes\"], [\"what did I read on 2013/07/31?\", \"social media\"], [\"Did I read on 2013/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/02\": {\"breakfast\": {\"eid\": \"e5498\", \"logical_representation\": [\"2013/08/02\", \"breakfast\", \"oatmeal\", \"Nevaeh, Avery, Piper, Kinsley, Piper, Layla, Eva, Nora, Claire, Lydia, Olivia, Hazel\"], \"text_template_based\": \"I had oatmeal for breakfast with Nevaeh, Avery, Piper, Kinsley, Piper, Layla, Eva, Nora, Claire, Lydia, Olivia, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/08/02?\", \"Nevaeh, Avery, Piper, Kinsley, Piper, Layla, Eva, Nora, Claire, Lydia, Olivia, Hazel\"], [\"what did I eat for breakfast on 2013/08/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5499\", \"logical_representation\": [\"2013/08/02\", \"lunch\", \"sandwich\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5500\", \"logical_representation\": [\"2013/08/02\", \"Nevaeh, Hazel, Layla\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Hazel, Layla for 52 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Layla late in the evening on 2013/08/02?\", \"52 minutes\"], [\"who did I talk to on 2013/08/02?\", \"Nevaeh, Hazel, Layla\"], [\"Did I talk to Nevaeh, Hazel, Layla on 2013/08/02?\", \"yes\"], [\"Did I talk to anyone on 2013/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5501\", \"logical_representation\": [\"2013/08/02\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/08/02?\", \"30 minutes\"], [\"what did I read on 2013/08/02?\", \"news\"], [\"Did I read on 2013/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/04\": {\"lunch\": {\"eid\": \"e5505\", \"logical_representation\": [\"2013/08/04\", \"lunch\", \"indian food\", \"Willow\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5506\", \"logical_representation\": [\"2013/08/04\", \"Rylee, Eva, Layla, Lydia\", \"in the early evening\", \"22 minutes\"], \"text_template_based\": \"I talked to Rylee, Eva, Layla, Lydia for 22 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Layla, Lydia in the early evening on 2013/08/04?\", \"22 minutes\"], [\"who did I talk to on 2013/08/04?\", \"Rylee, Eva, Layla, Lydia\"], [\"Did I talk to Rylee, Eva, Layla, Lydia on 2013/08/04?\", \"yes\"], [\"Did I talk to anyone on 2013/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5507\", \"logical_representation\": [\"2013/08/04\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I watched a documentary for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/04?\", \"26 minutes\"], [\"what did I watch on tv on 2013/08/04?\", \"a documentary\"], [\"Did I watch tv on 2013/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/06\": {\"chat0\": {\"eid\": \"e5514\", \"logical_representation\": [\"2013/08/06\", \"Claire, Nevaeh, Avery, Rylee\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Claire, Nevaeh, Avery, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Avery, Rylee in the early evening on 2013/08/06?\", \"35 minutes\"], [\"who did I talk to on 2013/08/06?\", \"Claire, Nevaeh, Avery, Rylee\"], [\"Did I talk to Claire, Nevaeh, Avery, Rylee on 2013/08/06?\", \"yes\"], [\"Did I talk to anyone on 2013/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5515\", \"logical_representation\": [\"2013/08/06\", \"a documentary\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/06?\", \"19 minutes\"], [\"what did I watch on tv on 2013/08/06?\", \"a documentary\"], [\"Did I watch tv on 2013/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/07\": {\"breakfast\": {\"eid\": \"e5516\", \"logical_representation\": [\"2013/08/07\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/08/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5517\", \"logical_representation\": [\"2013/08/07\", \"lunch\", \"steak\", \"Kayden\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5518\", \"logical_representation\": [\"2013/08/07\", \"dinner\", \"fish and chips\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5519\", \"logical_representation\": [\"2013/08/07\", \"Piper\", \"during lunch hours\", \"16 minutes\"], \"text_template_based\": \"I talked to Piper for 16 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2013/08/07?\", \"16 minutes\"], [\"who did I talk to on 2013/08/07?\", \"Piper\"], [\"Did I talk to Piper on 2013/08/07?\", \"yes\"], [\"Did I talk to anyone on 2013/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5520\", \"logical_representation\": [\"2013/08/07\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I watched a tv series for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/07?\", \"9 minutes\"], [\"what did I watch on tv on 2013/08/07?\", \"a tv series\"], [\"Did I watch tv on 2013/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/09\": {\"exercise\": {\"eid\": \"e5526\", \"logical_representation\": [\"2013/08/09\", \"biking\"], \"text_template_based\": \"I did biking on 2013/08/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5527\", \"logical_representation\": [\"2013/08/09\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/08/09?\", \"28 minutes\"], [\"what did I read on 2013/08/09?\", \"social media\"], [\"Did I read on 2013/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5528\", \"logical_representation\": [\"2013/08/09\", \"news\", \"38 minutes\"], \"text_template_based\": \"I watched news for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/09?\", \"38 minutes\"], [\"what did I watch on tv on 2013/08/09?\", \"news\"], [\"Did I watch tv on 2013/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/11\": {\"breakfast\": {\"eid\": \"e5534\", \"logical_representation\": [\"2013/08/11\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Olivia, Eva, Nevaeh, Layla, Piper, Kinsley, Piper, Rylee, Hazel, Lydia, Claire\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/08/11\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5535\", \"logical_representation\": [\"2013/08/11\", \"lunch\", \"tacos\", \"Nevaeh, Claire, Olivia, Eva, Lydia, Hazel, Kinsley, Piper, Piper, Avery, Layla\"], \"text_template_based\": \"I had lunch with Nevaeh, Claire, Olivia, Eva, Lydia, Hazel, Kinsley, Piper, Piper, Avery, Layla. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/08/11?\", \"Nevaeh, Claire, Olivia, Eva, Lydia, Hazel, Kinsley, Piper, Piper, Avery, Layla\"], [\"what did I eat for lunch on 2013/08/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5536\", \"logical_representation\": [\"2013/08/11\", \"a tv series\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/11?\", \"19 minutes\"], [\"what did I watch on tv on 2013/08/11?\", \"a tv series\"], [\"Did I watch tv on 2013/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/13\": {\"lunch\": {\"eid\": \"e5539\", \"logical_representation\": [\"2013/08/13\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5540\", \"logical_representation\": [\"2013/08/13\", \"dinner\", \"fish and chips\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5541\", \"logical_representation\": [\"2013/08/13\", \"Rylee, Piper\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper for 19 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper in the early afternoon on 2013/08/13?\", \"19 minutes\"], [\"who did I talk to on 2013/08/13?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2013/08/13?\", \"yes\"], [\"Did I talk to anyone on 2013/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5542\", \"logical_representation\": [\"2013/08/13\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/08/13?\", \"9 minutes\"], [\"what did I read on 2013/08/13?\", \"social media\"], [\"Did I read on 2013/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5543\", \"logical_representation\": [\"2013/08/13\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/13?\", \"36 minutes\"], [\"what did I watch on tv on 2013/08/13?\", \"a movie\"], [\"Did I watch tv on 2013/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/14\": {\"lunch\": {\"eid\": \"e5544\", \"logical_representation\": [\"2013/08/14\", \"lunch\", \"a burger\", \"Rylee, Layla, Lydia, Nevaeh, Hazel, Claire, Eva\"], \"text_template_based\": \"I had a burger for lunch with Rylee, Layla, Lydia, Nevaeh, Hazel, Claire, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/08/14?\", \"Rylee, Layla, Lydia, Nevaeh, Hazel, Claire, Eva\"], [\"what did I eat for lunch on 2013/08/14\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2013/08/15\": {\"exercise\": {\"eid\": \"e5545\", \"logical_representation\": [\"2013/08/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/08/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5546\", \"logical_representation\": [\"2013/08/15\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/08/15?\", \"47 minutes\"], [\"what did I read on 2013/08/15?\", \"social media\"], [\"Did I read on 2013/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/16\": {\"exercise\": {\"eid\": \"e5547\", \"logical_representation\": [\"2013/08/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/08/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5548\", \"logical_representation\": [\"2013/08/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/08/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5549\", \"logical_representation\": [\"2013/08/16\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/16?\", \"32 minutes\"], [\"what did I watch on tv on 2013/08/16?\", \"a documentary\"], [\"Did I watch tv on 2013/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/19\": {\"lunch\": {\"eid\": \"e5555\", \"logical_representation\": [\"2013/08/19\", \"lunch\", \"sushi\", \"Benjamin\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5556\", \"logical_representation\": [\"2013/08/19\", \"dinner\", \"indian food\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/19\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2013/08/20\": {\"exercise\": {\"eid\": \"e5557\", \"logical_representation\": [\"2013/08/20\", \"biking\"], \"text_template_based\": \"I did biking on 2013/08/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5558\", \"logical_representation\": [\"2013/08/20\", \"breakfast\", \"cereals\", \"Emily, Kayden\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/08/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5559\", \"logical_representation\": [\"2013/08/20\", \"dinner\", \"a burger\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5560\", \"logical_representation\": [\"2013/08/20\", \"Lydia, Olivia, Nevaeh, Nora\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia, Nevaeh, Nora for 33 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Nevaeh, Nora during lunch hours on 2013/08/20?\", \"33 minutes\"], [\"who did I talk to on 2013/08/20?\", \"Lydia, Olivia, Nevaeh, Nora\"], [\"Did I talk to Lydia, Olivia, Nevaeh, Nora on 2013/08/20?\", \"yes\"], [\"Did I talk to anyone on 2013/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5561\", \"logical_representation\": [\"2013/08/20\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/08/20?\", \"28 minutes\"], [\"what did I read on 2013/08/20?\", \"a book\"], [\"Did I read on 2013/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5562\", \"logical_representation\": [\"2013/08/20\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/20?\", \"50 minutes\"], [\"what did I watch on tv on 2013/08/20?\", \"a documentary\"], [\"Did I watch tv on 2013/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/21\": {\"breakfast\": {\"eid\": \"e5563\", \"logical_representation\": [\"2013/08/21\", \"breakfast\", \"toast and cheese\", \"Eva, Nora, Claire, Rylee, Avery\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/08/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5564\", \"logical_representation\": [\"2013/08/21\", \"lunch\", \"sandwich\", \"Andrew, Carter\"], \"text_template_based\": \"I had sandwich for lunch with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/08/21?\", \"Andrew, Carter\"], [\"what did I eat for lunch on 2013/08/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5565\", \"logical_representation\": [\"2013/08/21\", \"dinner\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5566\", \"logical_representation\": [\"2013/08/21\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I watched a tv series for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/21?\", \"48 minutes\"], [\"what did I watch on tv on 2013/08/21?\", \"a tv series\"], [\"Did I watch tv on 2013/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/22\": {\"exercise\": {\"eid\": \"e5567\", \"logical_representation\": [\"2013/08/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/08/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5568\", \"logical_representation\": [\"2013/08/22\", \"dinner\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5569\", \"logical_representation\": [\"2013/08/22\", \"Lydia\", \"late in the evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2013/08/22?\", \"44 minutes\"], [\"who did I talk to on 2013/08/22?\", \"Lydia\"], [\"Did I talk to Lydia on 2013/08/22?\", \"yes\"], [\"Did I talk to anyone on 2013/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5570\", \"logical_representation\": [\"2013/08/22\", \"Piper\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2013/08/22?\", \"28 minutes\"], [\"who did I talk to on 2013/08/22?\", \"Piper\"], [\"Did I talk to Piper on 2013/08/22?\", \"yes\"], [\"Did I talk to anyone on 2013/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/24\": {\"exercise\": {\"eid\": \"e5575\", \"logical_representation\": [\"2013/08/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/08/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5576\", \"logical_representation\": [\"2013/08/24\", \"dinner\", \"chinese food\", \"Willow, Jackson\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5577\", \"logical_representation\": [\"2013/08/24\", \"Lydia, Avery, Nevaeh\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Lydia, Avery, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Nevaeh during lunch hours on 2013/08/24?\", \"23 minutes\"], [\"who did I talk to on 2013/08/24?\", \"Lydia, Avery, Nevaeh\"], [\"Did I talk to Lydia, Avery, Nevaeh on 2013/08/24?\", \"yes\"], [\"Did I talk to anyone on 2013/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5578\", \"logical_representation\": [\"2013/08/24\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/08/24?\", \"19 minutes\"], [\"what did I read on 2013/08/24?\", \"news\"], [\"Did I read on 2013/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/25\": {\"breakfast\": {\"eid\": \"e5579\", \"logical_representation\": [\"2013/08/25\", \"breakfast\", \"cereals\", \"Carter, Andrew\"], \"text_template_based\": \"I had cereals for breakfast with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/08/25?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2013/08/25\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5580\", \"logical_representation\": [\"2013/08/25\", \"lunch\", \"pasta\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5581\", \"logical_representation\": [\"2013/08/25\", \"Nevaeh, Hazel, Piper, Avery\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Nevaeh, Hazel, Piper, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Piper, Avery in the early afternoon on 2013/08/25?\", \"20 minutes\"], [\"who did I talk to on 2013/08/25?\", \"Nevaeh, Hazel, Piper, Avery\"], [\"Did I talk to Nevaeh, Hazel, Piper, Avery on 2013/08/25?\", \"yes\"], [\"Did I talk to anyone on 2013/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5582\", \"logical_representation\": [\"2013/08/25\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/25?\", \"9 minutes\"], [\"what did I watch on tv on 2013/08/25?\", \"news\"], [\"Did I watch tv on 2013/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/26\": {\"exercise\": {\"eid\": \"e5583\", \"logical_representation\": [\"2013/08/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/08/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5584\", \"logical_representation\": [\"2013/08/26\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/08/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5585\", \"logical_representation\": [\"2013/08/26\", \"dinner\", \"tacos\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had tacos for dinner with Avery, Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/08/26?\", \"Avery, Benjamin, Jackson\"], [\"what did I eat for dinner on 2013/08/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5586\", \"logical_representation\": [\"2013/08/26\", \"Eva, Rylee, Claire, Olivia\", \"in the morning\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Eva, Rylee, Claire, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Claire, Olivia in the morning on 2013/08/26?\", \"24 minutes\"], [\"who did I talk to on 2013/08/26?\", \"Eva, Rylee, Claire, Olivia\"], [\"Did I talk to Eva, Rylee, Claire, Olivia on 2013/08/26?\", \"yes\"], [\"Did I talk to anyone on 2013/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5587\", \"logical_representation\": [\"2013/08/26\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/08/26?\", \"39 minutes\"], [\"what did I read on 2013/08/26?\", \"news\"], [\"Did I read on 2013/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5588\", \"logical_representation\": [\"2013/08/26\", \"news\", \"36 minutes\"], \"text_template_based\": \"I watched news for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/26?\", \"36 minutes\"], [\"what did I watch on tv on 2013/08/26?\", \"news\"], [\"Did I watch tv on 2013/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/27\": {\"lunch\": {\"eid\": \"e5589\", \"logical_representation\": [\"2013/08/27\", \"lunch\", \"steak\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had steak for lunch with Carter, Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/08/27?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2013/08/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5590\", \"logical_representation\": [\"2013/08/27\", \"dinner\", \"pasta\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5591\", \"logical_representation\": [\"2013/08/27\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/08/27?\", \"9 minutes\"], [\"what did I read on 2013/08/27?\", \"news\"], [\"Did I read on 2013/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/29\": {\"exercise\": {\"eid\": \"e5596\", \"logical_representation\": [\"2013/08/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/08/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5597\", \"logical_representation\": [\"2013/08/29\", \"lunch\", \"pasta\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had pasta for lunch with Carter, Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/08/29?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2013/08/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5598\", \"logical_representation\": [\"2013/08/29\", \"Layla, Eva\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Layla, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva in the early evening on 2013/08/29?\", \"39 minutes\"], [\"who did I talk to on 2013/08/29?\", \"Layla, Eva\"], [\"Did I talk to Layla, Eva on 2013/08/29?\", \"yes\"], [\"Did I talk to anyone on 2013/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5599\", \"logical_representation\": [\"2013/08/29\", \"a movie\", \"27 minutes\"], \"text_template_based\": \"I watched a movie for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/29?\", \"27 minutes\"], [\"what did I watch on tv on 2013/08/29?\", \"a movie\"], [\"Did I watch tv on 2013/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/30\": {\"lunch\": {\"eid\": \"e5600\", \"logical_representation\": [\"2013/08/30\", \"lunch\", \"sushi\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/30\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5601\", \"logical_representation\": [\"2013/08/30\", \"dinner\", \"steak\", \"Layla, Piper\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/30\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2013/08/31\": {\"breakfast\": {\"eid\": \"e5602\", \"logical_representation\": [\"2013/08/31\", \"breakfast\", \"cereals\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/08/31\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5603\", \"logical_representation\": [\"2013/08/31\", \"lunch\", \"sandwich\", \"Eva, Claire, Lydia, Hazel, Avery\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5604\", \"logical_representation\": [\"2013/08/31\", \"dinner\", \"fish and chips\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Andrew, Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/08/31?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for dinner on 2013/08/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2013/09/01\": {\"lunch\": {\"eid\": \"e5605\", \"logical_representation\": [\"2013/09/01\", \"lunch\", \"sushi\", \"Willow, Avery\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5606\", \"logical_representation\": [\"2013/09/01\", \"Piper, Claire\", \"in the early evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Piper, Claire for 21 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire in the early evening on 2013/09/01?\", \"21 minutes\"], [\"who did I talk to on 2013/09/01?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2013/09/01?\", \"yes\"], [\"Did I talk to anyone on 2013/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5607\", \"logical_representation\": [\"2013/09/01\", \"Eva, Hazel\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel for 54 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel in the late afternoon on 2013/09/01?\", \"54 minutes\"], [\"who did I talk to on 2013/09/01?\", \"Eva, Hazel\"], [\"Did I talk to Eva, Hazel on 2013/09/01?\", \"yes\"], [\"Did I talk to anyone on 2013/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5608\", \"logical_representation\": [\"2013/09/01\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/09/01?\", \"55 minutes\"], [\"what did I read on 2013/09/01?\", \"a book\"], [\"Did I read on 2013/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5609\", \"logical_representation\": [\"2013/09/01\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/01?\", \"30 minutes\"], [\"what did I watch on tv on 2013/09/01?\", \"a documentary\"], [\"Did I watch tv on 2013/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/02\": {\"breakfast\": {\"eid\": \"e5610\", \"logical_representation\": [\"2013/09/02\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5611\", \"logical_representation\": [\"2013/09/02\", \"lunch\", \"fish and chips\", \"Jackson\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5612\", \"logical_representation\": [\"2013/09/02\", \"Hazel\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Hazel for 45 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2013/09/02?\", \"45 minutes\"], [\"who did I talk to on 2013/09/02?\", \"Hazel\"], [\"Did I talk to Hazel on 2013/09/02?\", \"yes\"], [\"Did I talk to anyone on 2013/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5613\", \"logical_representation\": [\"2013/09/02\", \"Nora\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I talked to Nora for 17 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2013/09/02?\", \"17 minutes\"], [\"who did I talk to on 2013/09/02?\", \"Nora\"], [\"Did I talk to Nora on 2013/09/02?\", \"yes\"], [\"Did I talk to anyone on 2013/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5614\", \"logical_representation\": [\"2013/09/02\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/02?\", \"39 minutes\"], [\"what did I watch on tv on 2013/09/02?\", \"a documentary\"], [\"Did I watch tv on 2013/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/03\": {\"dinner\": {\"eid\": \"e5615\", \"logical_representation\": [\"2013/09/03\", \"dinner\", \"steak\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Carter, Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/09/03?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2013/09/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5616\", \"logical_representation\": [\"2013/09/03\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/09/03?\", \"45 minutes\"], [\"what did I read on 2013/09/03?\", \"social media\"], [\"Did I read on 2013/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5617\", \"logical_representation\": [\"2013/09/03\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/03?\", \"8 minutes\"], [\"what did I watch on tv on 2013/09/03?\", \"news\"], [\"Did I watch tv on 2013/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/04\": {\"exercise\": {\"eid\": \"e5618\", \"logical_representation\": [\"2013/09/04\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/09/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/04?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5619\", \"logical_representation\": [\"2013/09/04\", \"lunch\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I had sandwich for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/09/04?\", \"Andrew\"], [\"what did I eat for lunch on 2013/09/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5620\", \"logical_representation\": [\"2013/09/04\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/09/04?\", \"18 minutes\"], [\"what did I read on 2013/09/04?\", \"a book\"], [\"Did I read on 2013/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/05\": {\"lunch\": {\"eid\": \"e5621\", \"logical_representation\": [\"2013/09/05\", \"lunch\", \"chinese food\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/05\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5622\", \"logical_representation\": [\"2013/09/05\", \"dinner\", \"fish and chips\", \"Piper, Eva, Olivia, Piper, Avery, Kinsley\"], \"text_template_based\": \"I had dinner with Piper, Eva, Olivia, Piper, Avery, Kinsley. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/09/05?\", \"Piper, Eva, Olivia, Piper, Avery, Kinsley\"], [\"what did I eat for dinner on 2013/09/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5623\", \"logical_representation\": [\"2013/09/05\", \"Lydia, Layla, Claire\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I talked to Lydia, Layla, Claire for 27 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla, Claire in the late afternoon on 2013/09/05?\", \"27 minutes\"], [\"who did I talk to on 2013/09/05?\", \"Lydia, Layla, Claire\"], [\"Did I talk to Lydia, Layla, Claire on 2013/09/05?\", \"yes\"], [\"Did I talk to anyone on 2013/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5624\", \"logical_representation\": [\"2013/09/05\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/09/05?\", \"22 minutes\"], [\"what did I read on 2013/09/05?\", \"social media\"], [\"Did I read on 2013/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5625\", \"logical_representation\": [\"2013/09/05\", \"a tv series\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/05?\", \"51 minutes\"], [\"what did I watch on tv on 2013/09/05?\", \"a tv series\"], [\"Did I watch tv on 2013/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/06\": {\"breakfast\": {\"eid\": \"e5626\", \"logical_representation\": [\"2013/09/06\", \"breakfast\", \"cereals\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/06\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5627\", \"logical_representation\": [\"2013/09/06\", \"lunch\", \"sushi\", \"Emily, Carter\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5628\", \"logical_representation\": [\"2013/09/06\", \"dinner\", \"a burger\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/09/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5629\", \"logical_representation\": [\"2013/09/06\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/06?\", \"50 minutes\"], [\"what did I watch on tv on 2013/09/06?\", \"news\"], [\"Did I watch tv on 2013/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/07\": {\"exercise\": {\"eid\": \"e5630\", \"logical_representation\": [\"2013/09/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/09/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5631\", \"logical_representation\": [\"2013/09/07\", \"lunch\", \"indian food\", \"Claire, Kinsley, Rylee, Piper, Avery, Layla, Nevaeh, Eva, Lydia, Hazel\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5632\", \"logical_representation\": [\"2013/09/07\", \"Nora, Nevaeh, Hazel, Avery\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I talked to Nora, Nevaeh, Hazel, Avery for 36 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Hazel, Avery during lunch hours on 2013/09/07?\", \"36 minutes\"], [\"who did I talk to on 2013/09/07?\", \"Nora, Nevaeh, Hazel, Avery\"], [\"Did I talk to Nora, Nevaeh, Hazel, Avery on 2013/09/07?\", \"yes\"], [\"Did I talk to anyone on 2013/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5633\", \"logical_representation\": [\"2013/09/07\", \"Piper\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Piper for 34 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2013/09/07?\", \"34 minutes\"], [\"who did I talk to on 2013/09/07?\", \"Piper\"], [\"Did I talk to Piper on 2013/09/07?\", \"yes\"], [\"Did I talk to anyone on 2013/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5634\", \"logical_representation\": [\"2013/09/07\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/07?\", \"32 minutes\"], [\"what did I watch on tv on 2013/09/07?\", \"a documentary\"], [\"Did I watch tv on 2013/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/08\": {\"chat0\": {\"eid\": \"e5635\", \"logical_representation\": [\"2013/09/08\", \"Olivia, Nevaeh\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Olivia, Nevaeh for 6 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh in the early evening on 2013/09/08?\", \"6 minutes\"], [\"who did I talk to on 2013/09/08?\", \"Olivia, Nevaeh\"], [\"Did I talk to Olivia, Nevaeh on 2013/09/08?\", \"yes\"], [\"Did I talk to anyone on 2013/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5636\", \"logical_representation\": [\"2013/09/08\", \"Piper\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Piper for 50 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2013/09/08?\", \"50 minutes\"], [\"who did I talk to on 2013/09/08?\", \"Piper\"], [\"Did I talk to Piper on 2013/09/08?\", \"yes\"], [\"Did I talk to anyone on 2013/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5637\", \"logical_representation\": [\"2013/09/08\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/09/08?\", \"46 minutes\"], [\"what did I read on 2013/09/08?\", \"news\"], [\"Did I read on 2013/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5638\", \"logical_representation\": [\"2013/09/08\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/08?\", \"54 minutes\"], [\"what did I watch on tv on 2013/09/08?\", \"a tv series\"], [\"Did I watch tv on 2013/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/09\": {\"breakfast\": {\"eid\": \"e5639\", \"logical_representation\": [\"2013/09/09\", \"breakfast\", \"pancakes\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5640\", \"logical_representation\": [\"2013/09/09\", \"lunch\", \"fish and chips\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had lunch with Avery, Benjamin, Willow. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/09/09?\", \"Avery, Benjamin, Willow\"], [\"what did I eat for lunch on 2013/09/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5641\", \"logical_representation\": [\"2013/09/09\", \"dinner\", \"tacos\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/09/09?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2013/09/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5642\", \"logical_representation\": [\"2013/09/09\", \"Piper, Lydia, Eva, Hazel\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Eva, Hazel for 35 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Eva, Hazel during lunch hours on 2013/09/09?\", \"35 minutes\"], [\"who did I talk to on 2013/09/09?\", \"Piper, Lydia, Eva, Hazel\"], [\"Did I talk to Piper, Lydia, Eva, Hazel on 2013/09/09?\", \"yes\"], [\"Did I talk to anyone on 2013/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5643\", \"logical_representation\": [\"2013/09/09\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/09/09?\", \"22 minutes\"], [\"what did I read on 2013/09/09?\", \"news\"], [\"Did I read on 2013/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/10\": {\"breakfast\": {\"eid\": \"e5644\", \"logical_representation\": [\"2013/09/10\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/10\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5645\", \"logical_representation\": [\"2013/09/10\", \"Hazel\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Hazel for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2013/09/10?\", \"42 minutes\"], [\"who did I talk to on 2013/09/10?\", \"Hazel\"], [\"Did I talk to Hazel on 2013/09/10?\", \"yes\"], [\"Did I talk to anyone on 2013/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/11\": {\"chat0\": {\"eid\": \"e5646\", \"logical_representation\": [\"2013/09/11\", \"Nevaeh, Piper\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper for 51 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper in the early evening on 2013/09/11?\", \"51 minutes\"], [\"who did I talk to on 2013/09/11?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2013/09/11?\", \"yes\"], [\"Did I talk to anyone on 2013/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/12\": {\"lunch\": {\"eid\": \"e5647\", \"logical_representation\": [\"2013/09/12\", \"lunch\", \"a burger\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5648\", \"logical_representation\": [\"2013/09/12\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/12?\", \"14 minutes\"], [\"what did I watch on tv on 2013/09/12?\", \"a movie\"], [\"Did I watch tv on 2013/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/13\": {\"exercise\": {\"eid\": \"e5649\", \"logical_representation\": [\"2013/09/13\", \"biking\"], \"text_template_based\": \"I did biking on 2013/09/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5650\", \"logical_representation\": [\"2013/09/13\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Emily. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/09/13?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2013/09/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5651\", \"logical_representation\": [\"2013/09/13\", \"lunch\", \"fish and chips\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5652\", \"logical_representation\": [\"2013/09/13\", \"Kinsley, Avery\", \"in the morning\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Kinsley, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery in the morning on 2013/09/13?\", \"50 minutes\"], [\"who did I talk to on 2013/09/13?\", \"Kinsley, Avery\"], [\"Did I talk to Kinsley, Avery on 2013/09/13?\", \"yes\"], [\"Did I talk to anyone on 2013/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5653\", \"logical_representation\": [\"2013/09/13\", \"Claire, Eva, Nevaeh, Nora\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Claire, Eva, Nevaeh, Nora for 29 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Nevaeh, Nora in the late afternoon on 2013/09/13?\", \"29 minutes\"], [\"who did I talk to on 2013/09/13?\", \"Claire, Eva, Nevaeh, Nora\"], [\"Did I talk to Claire, Eva, Nevaeh, Nora on 2013/09/13?\", \"yes\"], [\"Did I talk to anyone on 2013/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5654\", \"logical_representation\": [\"2013/09/13\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/09/13?\", \"32 minutes\"], [\"what did I read on 2013/09/13?\", \"a book\"], [\"Did I read on 2013/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5655\", \"logical_representation\": [\"2013/09/13\", \"a movie\", \"44 minutes\"], \"text_template_based\": \"I watched a movie for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/13?\", \"44 minutes\"], [\"what did I watch on tv on 2013/09/13?\", \"a movie\"], [\"Did I watch tv on 2013/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/14\": {\"lunch\": {\"eid\": \"e5656\", \"logical_representation\": [\"2013/09/14\", \"lunch\", \"tacos\", \"Nevaeh, Lydia, Kinsley, Piper, Eva\"], \"text_template_based\": \"I had tacos for lunch with Nevaeh, Lydia, Kinsley, Piper, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/09/14?\", \"Nevaeh, Lydia, Kinsley, Piper, Eva\"], [\"what did I eat for lunch on 2013/09/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5657\", \"logical_representation\": [\"2013/09/14\", \"dinner\", \"steak\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/09/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5658\", \"logical_representation\": [\"2013/09/14\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/09/14?\", \"39 minutes\"], [\"what did I read on 2013/09/14?\", \"social media\"], [\"Did I read on 2013/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/15\": {\"breakfast\": {\"eid\": \"e5659\", \"logical_representation\": [\"2013/09/15\", \"breakfast\", \"pancakes\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5660\", \"logical_representation\": [\"2013/09/15\", \"dinner\", \"pasta\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had pasta for dinner with Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/09/15?\", \"Avery, Jackson, Willow\"], [\"what did I eat for dinner on 2013/09/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5661\", \"logical_representation\": [\"2013/09/15\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I watched a tv series for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/15?\", \"20 minutes\"], [\"what did I watch on tv on 2013/09/15?\", \"a tv series\"], [\"Did I watch tv on 2013/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/18\": {\"breakfast\": {\"eid\": \"e5669\", \"logical_representation\": [\"2013/09/18\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5670\", \"logical_representation\": [\"2013/09/18\", \"lunch\", \"pasta\", \"Rylee, Piper, Avery, Piper, Nora, Claire, Hazel, Olivia\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/18\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2013/09/20\": {\"lunch\": {\"eid\": \"e5676\", \"logical_representation\": [\"2013/09/20\", \"lunch\", \"indian food\", \"Andrew, Kayden\"], \"text_template_based\": \"I had indian food for lunch with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/09/20?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2013/09/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5677\", \"logical_representation\": [\"2013/09/20\", \"dinner\", \"fish and chips\", \"Layla\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/09/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5678\", \"logical_representation\": [\"2013/09/20\", \"Nevaeh\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 41 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2013/09/20?\", \"41 minutes\"], [\"who did I talk to on 2013/09/20?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2013/09/20?\", \"yes\"], [\"Did I talk to anyone on 2013/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5679\", \"logical_representation\": [\"2013/09/20\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/09/20?\", \"34 minutes\"], [\"what did I read on 2013/09/20?\", \"a book\"], [\"Did I read on 2013/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5680\", \"logical_representation\": [\"2013/09/20\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I watched a tv series for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/20?\", \"21 minutes\"], [\"what did I watch on tv on 2013/09/20?\", \"a tv series\"], [\"Did I watch tv on 2013/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/21\": {\"lunch\": {\"eid\": \"e5681\", \"logical_representation\": [\"2013/09/21\", \"lunch\", \"indian food\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5682\", \"logical_representation\": [\"2013/09/21\", \"dinner\", \"sushi\", \"Nora, Layla, Eva, Piper, Nevaeh, Rylee, Piper\"], \"text_template_based\": \"I had dinner with Nora, Layla, Eva, Piper, Nevaeh, Rylee, Piper. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/09/21?\", \"Nora, Layla, Eva, Piper, Nevaeh, Rylee, Piper\"], [\"what did I eat for dinner on 2013/09/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5683\", \"logical_representation\": [\"2013/09/21\", \"Rylee, Layla\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Rylee, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla in the early afternoon on 2013/09/21?\", \"21 minutes\"], [\"who did I talk to on 2013/09/21?\", \"Rylee, Layla\"], [\"Did I talk to Rylee, Layla on 2013/09/21?\", \"yes\"], [\"Did I talk to anyone on 2013/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5684\", \"logical_representation\": [\"2013/09/21\", \"Nora\", \"in the morning\", \"36 minutes\"], \"text_template_based\": \"I talked to Nora for 36 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2013/09/21?\", \"36 minutes\"], [\"who did I talk to on 2013/09/21?\", \"Nora\"], [\"Did I talk to Nora on 2013/09/21?\", \"yes\"], [\"Did I talk to anyone on 2013/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5685\", \"logical_representation\": [\"2013/09/21\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/09/21?\", \"37 minutes\"], [\"what did I read on 2013/09/21?\", \"news\"], [\"Did I read on 2013/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5686\", \"logical_representation\": [\"2013/09/21\", \"a documentary\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/21?\", \"45 minutes\"], [\"what did I watch on tv on 2013/09/21?\", \"a documentary\"], [\"Did I watch tv on 2013/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/25\": {\"breakfast\": {\"eid\": \"e5702\", \"logical_representation\": [\"2013/09/25\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Carter\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/25\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5703\", \"logical_representation\": [\"2013/09/25\", \"Piper, Lydia, Layla\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Layla for 39 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Layla in the early afternoon on 2013/09/25?\", \"39 minutes\"], [\"who did I talk to on 2013/09/25?\", \"Piper, Lydia, Layla\"], [\"Did I talk to Piper, Lydia, Layla on 2013/09/25?\", \"yes\"], [\"Did I talk to anyone on 2013/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5704\", \"logical_representation\": [\"2013/09/25\", \"Eva, Hazel, Rylee\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel, Rylee for 55 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Rylee late in the evening on 2013/09/25?\", \"55 minutes\"], [\"who did I talk to on 2013/09/25?\", \"Eva, Hazel, Rylee\"], [\"Did I talk to Eva, Hazel, Rylee on 2013/09/25?\", \"yes\"], [\"Did I talk to anyone on 2013/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/26\": {\"breakfast\": {\"eid\": \"e5705\", \"logical_representation\": [\"2013/09/26\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Benjamin, Willow, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/09/26?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for breakfast on 2013/09/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5706\", \"logical_representation\": [\"2013/09/26\", \"lunch\", \"pasta\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5707\", \"logical_representation\": [\"2013/09/26\", \"Piper, Rylee, Kinsley, Lydia\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Piper, Rylee, Kinsley, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Kinsley, Lydia in the early evening on 2013/09/26?\", \"6 minutes\"], [\"who did I talk to on 2013/09/26?\", \"Piper, Rylee, Kinsley, Lydia\"], [\"Did I talk to Piper, Rylee, Kinsley, Lydia on 2013/09/26?\", \"yes\"], [\"Did I talk to anyone on 2013/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/27\": {\"exercise\": {\"eid\": \"e5708\", \"logical_representation\": [\"2013/09/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/09/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5709\", \"logical_representation\": [\"2013/09/27\", \"lunch\", \"sandwich\", \"Olivia, Rylee, Kinsley, Piper, Nora, Nevaeh, Hazel, Lydia, Layla, Avery, Claire, Piper, Eva\"], \"text_template_based\": \"I had sandwich for lunch with Olivia, Rylee, Kinsley, Piper, Nora, Nevaeh, Hazel, Lydia, Layla, Avery, Claire, Piper, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/09/27?\", \"Olivia, Rylee, Kinsley, Piper, Nora, Nevaeh, Hazel, Lydia, Layla, Avery, Claire, Piper, Eva\"], [\"what did I eat for lunch on 2013/09/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5710\", \"logical_representation\": [\"2013/09/27\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/09/27?\", \"30 minutes\"], [\"what did I read on 2013/09/27?\", \"a book\"], [\"Did I read on 2013/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/28\": {\"breakfast\": {\"eid\": \"e5711\", \"logical_representation\": [\"2013/09/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Benjamin\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5712\", \"logical_representation\": [\"2013/09/28\", \"lunch\", \"sushi\", \"Jackson\"], \"text_template_based\": \"I had lunch with Jackson. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/09/28?\", \"Jackson\"], [\"what did I eat for lunch on 2013/09/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5713\", \"logical_representation\": [\"2013/09/28\", \"Kinsley, Piper, Eva, Layla\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Eva, Layla for 54 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Eva, Layla during lunch hours on 2013/09/28?\", \"54 minutes\"], [\"who did I talk to on 2013/09/28?\", \"Kinsley, Piper, Eva, Layla\"], [\"Did I talk to Kinsley, Piper, Eva, Layla on 2013/09/28?\", \"yes\"], [\"Did I talk to anyone on 2013/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5714\", \"logical_representation\": [\"2013/09/28\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I watched a documentary for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/28?\", \"32 minutes\"], [\"what did I watch on tv on 2013/09/28?\", \"a documentary\"], [\"Did I watch tv on 2013/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/29\": {\"breakfast\": {\"eid\": \"e5715\", \"logical_representation\": [\"2013/09/29\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5716\", \"logical_representation\": [\"2013/09/29\", \"Lydia, Piper\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Lydia, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper in the early evening on 2013/09/29?\", \"41 minutes\"], [\"who did I talk to on 2013/09/29?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2013/09/29?\", \"yes\"], [\"Did I talk to anyone on 2013/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/30\": {\"exercise\": {\"eid\": \"e5717\", \"logical_representation\": [\"2013/09/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/09/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5718\", \"logical_representation\": [\"2013/09/30\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5719\", \"logical_representation\": [\"2013/09/30\", \"lunch\", \"steak\", \"Avery, Layla, Claire, Nevaeh, Kinsley, Eva, Rylee, Hazel, Piper, Nora, Lydia, Piper\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/30\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2013/10/02\": {\"exercise\": {\"eid\": \"e5724\", \"logical_representation\": [\"2013/10/02\", \"running\"], \"text_template_based\": \"I did running on 2013/10/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5725\", \"logical_representation\": [\"2013/10/02\", \"dinner\", \"sandwich\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had sandwich for dinner with Emily, Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/10/02?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for dinner on 2013/10/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2013/10/03\": {\"exercise\": {\"eid\": \"e5726\", \"logical_representation\": [\"2013/10/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/10/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5727\", \"logical_representation\": [\"2013/10/03\", \"breakfast\", \"cereals\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/10/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5728\", \"logical_representation\": [\"2013/10/03\", \"Layla\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2013/10/03?\", \"47 minutes\"], [\"who did I talk to on 2013/10/03?\", \"Layla\"], [\"Did I talk to Layla on 2013/10/03?\", \"yes\"], [\"Did I talk to anyone on 2013/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5729\", \"logical_representation\": [\"2013/10/03\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/10/03?\", \"42 minutes\"], [\"what did I read on 2013/10/03?\", \"news\"], [\"Did I read on 2013/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5730\", \"logical_representation\": [\"2013/10/03\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/03?\", \"26 minutes\"], [\"what did I watch on tv on 2013/10/03?\", \"a movie\"], [\"Did I watch tv on 2013/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/04\": {\"exercise\": {\"eid\": \"e5731\", \"logical_representation\": [\"2013/10/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/10/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5732\", \"logical_representation\": [\"2013/10/04\", \"Claire\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I talked to Claire for 23 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2013/10/04?\", \"23 minutes\"], [\"who did I talk to on 2013/10/04?\", \"Claire\"], [\"Did I talk to Claire on 2013/10/04?\", \"yes\"], [\"Did I talk to anyone on 2013/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5733\", \"logical_representation\": [\"2013/10/04\", \"Piper, Piper\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Piper, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper in the morning on 2013/10/04?\", \"20 minutes\"], [\"who did I talk to on 2013/10/04?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2013/10/04?\", \"yes\"], [\"Did I talk to anyone on 2013/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5734\", \"logical_representation\": [\"2013/10/04\", \"a tv series\", \"38 minutes\"], \"text_template_based\": \"I watched a tv series for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/04?\", \"38 minutes\"], [\"what did I watch on tv on 2013/10/04?\", \"a tv series\"], [\"Did I watch tv on 2013/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/05\": {\"chat0\": {\"eid\": \"e5735\", \"logical_representation\": [\"2013/10/05\", \"Claire, Piper, Layla\", \"during lunch hours\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Claire, Piper, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Layla during lunch hours on 2013/10/05?\", \"19 minutes\"], [\"who did I talk to on 2013/10/05?\", \"Claire, Piper, Layla\"], [\"Did I talk to Claire, Piper, Layla on 2013/10/05?\", \"yes\"], [\"Did I talk to anyone on 2013/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/06\": {\"lunch\": {\"eid\": \"e5736\", \"logical_representation\": [\"2013/10/06\", \"lunch\", \"sandwich\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5737\", \"logical_representation\": [\"2013/10/06\", \"dinner\", \"tacos\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had tacos for dinner with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/10/06?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2013/10/06\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2013/10/07\": {\"exercise\": {\"eid\": \"e5738\", \"logical_representation\": [\"2013/10/07\", \"running\"], \"text_template_based\": \"I did running on 2013/10/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/07?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5739\", \"logical_representation\": [\"2013/10/07\", \"lunch\", \"tacos\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Emily, Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/10/07?\", \"Carter, Emily, Andrew\"], [\"what did I eat for lunch on 2013/10/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5740\", \"logical_representation\": [\"2013/10/07\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/07?\", \"11 minutes\"], [\"what did I watch on tv on 2013/10/07?\", \"a tv series\"], [\"Did I watch tv on 2013/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/08\": {\"breakfast\": {\"eid\": \"e5741\", \"logical_representation\": [\"2013/10/08\", \"breakfast\", \"peanut-butter-jam\", \"Eva, Nora, Avery, Rylee, Piper, Lydia, Nevaeh, Piper, Hazel, Claire\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/10/08\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5742\", \"logical_representation\": [\"2013/10/08\", \"lunch\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5743\", \"logical_representation\": [\"2013/10/08\", \"Piper, Hazel\", \"during lunch hours\", \"40 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel for 40 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel during lunch hours on 2013/10/08?\", \"40 minutes\"], [\"who did I talk to on 2013/10/08?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2013/10/08?\", \"yes\"], [\"Did I talk to anyone on 2013/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5744\", \"logical_representation\": [\"2013/10/08\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/10/08?\", \"28 minutes\"], [\"what did I read on 2013/10/08?\", \"social media\"], [\"Did I read on 2013/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/10\": {\"exercise\": {\"eid\": \"e5746\", \"logical_representation\": [\"2013/10/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/10/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5747\", \"logical_representation\": [\"2013/10/10\", \"dinner\", \"fish and chips\", \"Rylee, Eva, Claire, Nevaeh, Piper, Hazel, Olivia, Piper, Nora, Avery\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/10/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5748\", \"logical_representation\": [\"2013/10/10\", \"Layla\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2013/10/10?\", \"41 minutes\"], [\"who did I talk to on 2013/10/10?\", \"Layla\"], [\"Did I talk to Layla on 2013/10/10?\", \"yes\"], [\"Did I talk to anyone on 2013/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5749\", \"logical_representation\": [\"2013/10/10\", \"Kinsley, Nora, Lydia, Eva\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Kinsley, Nora, Lydia, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Lydia, Eva in the late afternoon on 2013/10/10?\", \"55 minutes\"], [\"who did I talk to on 2013/10/10?\", \"Kinsley, Nora, Lydia, Eva\"], [\"Did I talk to Kinsley, Nora, Lydia, Eva on 2013/10/10?\", \"yes\"], [\"Did I talk to anyone on 2013/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/11\": {\"lunch\": {\"eid\": \"e5750\", \"logical_representation\": [\"2013/10/11\", \"lunch\", \"tacos\", \"Benjamin\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5751\", \"logical_representation\": [\"2013/10/11\", \"Piper, Avery, Piper\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Piper, Avery, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Piper late in the evening on 2013/10/11?\", \"53 minutes\"], [\"who did I talk to on 2013/10/11?\", \"Piper, Avery, Piper\"], [\"Did I talk to Piper, Avery, Piper on 2013/10/11?\", \"yes\"], [\"Did I talk to anyone on 2013/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/12\": {\"dinner\": {\"eid\": \"e5752\", \"logical_representation\": [\"2013/10/12\", \"dinner\", \"a burger\", \"Avery\"], \"text_template_based\": \"I had dinner with Avery. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/10/12?\", \"Avery\"], [\"what did I eat for dinner on 2013/10/12\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2013/10/13\": {\"breakfast\": {\"eid\": \"e5753\", \"logical_representation\": [\"2013/10/13\", \"breakfast\", \"oatmeal\", \"Kinsley, Lydia, Claire, Eva, Olivia, Nora, Piper, Rylee\"], \"text_template_based\": \"I had breakfast with Kinsley, Lydia, Claire, Eva, Olivia, Nora, Piper, Rylee. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/10/13?\", \"Kinsley, Lydia, Claire, Eva, Olivia, Nora, Piper, Rylee\"], [\"what did I eat for breakfast on 2013/10/13\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5754\", \"logical_representation\": [\"2013/10/13\", \"Avery, Hazel\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Avery, Hazel for 26 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel in the early evening on 2013/10/13?\", \"26 minutes\"], [\"who did I talk to on 2013/10/13?\", \"Avery, Hazel\"], [\"Did I talk to Avery, Hazel on 2013/10/13?\", \"yes\"], [\"Did I talk to anyone on 2013/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/14\": {\"exercise\": {\"eid\": \"e5755\", \"logical_representation\": [\"2013/10/14\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/10/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/14?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5756\", \"logical_representation\": [\"2013/10/14\", \"breakfast\", \"cereals\", \"Nora, Eva, Kinsley, Avery\"], \"text_template_based\": \"I had cereals for breakfast with Nora, Eva, Kinsley, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/10/14?\", \"Nora, Eva, Kinsley, Avery\"], [\"what did I eat for breakfast on 2013/10/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5757\", \"logical_representation\": [\"2013/10/14\", \"lunch\", \"pasta\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5758\", \"logical_representation\": [\"2013/10/14\", \"dinner\", \"a burger\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/10/14\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2013/10/15\": {\"breakfast\": {\"eid\": \"e5759\", \"logical_representation\": [\"2013/10/15\", \"breakfast\", \"oatmeal\", \"Avery, Layla, Eva, Hazel, Piper\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/10/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2013/10/16\": {\"lunch\": {\"eid\": \"e5760\", \"logical_representation\": [\"2013/10/16\", \"lunch\", \"pasta\", \"Avery, Willow\"], \"text_template_based\": \"I had pasta for lunch with Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/10/16?\", \"Avery, Willow\"], [\"what did I eat for lunch on 2013/10/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5761\", \"logical_representation\": [\"2013/10/16\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I watched a movie for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/16?\", \"10 minutes\"], [\"what did I watch on tv on 2013/10/16?\", \"a movie\"], [\"Did I watch tv on 2013/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/17\": {\"chat1\": {\"eid\": \"e5762\", \"logical_representation\": [\"2013/10/17\", \"Piper, Olivia, Avery\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia, Avery for 31 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Avery in the morning on 2013/10/17?\", \"31 minutes\"], [\"who did I talk to on 2013/10/17?\", \"Piper, Olivia, Avery\"], [\"Did I talk to Piper, Olivia, Avery on 2013/10/17?\", \"yes\"], [\"Did I talk to anyone on 2013/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5763\", \"logical_representation\": [\"2013/10/17\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I watched a tv series for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/17?\", \"35 minutes\"], [\"what did I watch on tv on 2013/10/17?\", \"a tv series\"], [\"Did I watch tv on 2013/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/18\": {\"exercise\": {\"eid\": \"e5764\", \"logical_representation\": [\"2013/10/18\", \"running\"], \"text_template_based\": \"I did running on 2013/10/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/18?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5765\", \"logical_representation\": [\"2013/10/18\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/10/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2013/10/20\": {\"read\": {\"eid\": \"e5771\", \"logical_representation\": [\"2013/10/20\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/10/20?\", \"24 minutes\"], [\"what did I read on 2013/10/20?\", \"a book\"], [\"Did I read on 2013/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/23\": {\"breakfast\": {\"eid\": \"e5778\", \"logical_representation\": [\"2013/10/23\", \"breakfast\", \"toast and cheese\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/10/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5779\", \"logical_representation\": [\"2013/10/23\", \"lunch\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5780\", \"logical_representation\": [\"2013/10/23\", \"dinner\", \"fish and chips\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/10/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5781\", \"logical_representation\": [\"2013/10/23\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/10/23?\", \"35 minutes\"], [\"what did I read on 2013/10/23?\", \"news\"], [\"Did I read on 2013/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5782\", \"logical_representation\": [\"2013/10/23\", \"news\", \"15 minutes\"], \"text_template_based\": \"I watched news for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/23?\", \"15 minutes\"], [\"what did I watch on tv on 2013/10/23?\", \"news\"], [\"Did I watch tv on 2013/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/24\": {\"exercise\": {\"eid\": \"e5783\", \"logical_representation\": [\"2013/10/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/10/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5784\", \"logical_representation\": [\"2013/10/24\", \"lunch\", \"sandwich\", \"Nevaeh, Rylee, Piper\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5785\", \"logical_representation\": [\"2013/10/24\", \"Layla, Piper, Lydia\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Lydia for 33 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Lydia during lunch hours on 2013/10/24?\", \"33 minutes\"], [\"who did I talk to on 2013/10/24?\", \"Layla, Piper, Lydia\"], [\"Did I talk to Layla, Piper, Lydia on 2013/10/24?\", \"yes\"], [\"Did I talk to anyone on 2013/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5786\", \"logical_representation\": [\"2013/10/24\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/10/24?\", \"36 minutes\"], [\"what did I read on 2013/10/24?\", \"social media\"], [\"Did I read on 2013/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/25\": {\"exercise\": {\"eid\": \"e5787\", \"logical_representation\": [\"2013/10/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/10/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5788\", \"logical_representation\": [\"2013/10/25\", \"lunch\", \"fish and chips\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5789\", \"logical_representation\": [\"2013/10/25\", \"Claire, Eva, Rylee, Layla\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Claire, Eva, Rylee, Layla for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Rylee, Layla during lunch hours on 2013/10/25?\", \"26 minutes\"], [\"who did I talk to on 2013/10/25?\", \"Claire, Eva, Rylee, Layla\"], [\"Did I talk to Claire, Eva, Rylee, Layla on 2013/10/25?\", \"yes\"], [\"Did I talk to anyone on 2013/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5790\", \"logical_representation\": [\"2013/10/25\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/25?\", \"13 minutes\"], [\"what did I watch on tv on 2013/10/25?\", \"a documentary\"], [\"Did I watch tv on 2013/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/26\": {\"exercise\": {\"eid\": \"e5791\", \"logical_representation\": [\"2013/10/26\", \"running\"], \"text_template_based\": \"I did running on 2013/10/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5792\", \"logical_representation\": [\"2013/10/26\", \"lunch\", \"indian food\", \"Avery, Nora, Rylee, Lydia, Hazel, Nevaeh, Claire, Kinsley, Piper, Piper, Olivia, Eva\"], \"text_template_based\": \"I had indian food for lunch with Avery, Nora, Rylee, Lydia, Hazel, Nevaeh, Claire, Kinsley, Piper, Piper, Olivia, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/10/26?\", \"Avery, Nora, Rylee, Lydia, Hazel, Nevaeh, Claire, Kinsley, Piper, Piper, Olivia, Eva\"], [\"what did I eat for lunch on 2013/10/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5793\", \"logical_representation\": [\"2013/10/26\", \"dinner\", \"steak\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/10/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5794\", \"logical_representation\": [\"2013/10/26\", \"Avery, Olivia, Nora, Rylee\", \"in the late afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia, Nora, Rylee for 31 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Nora, Rylee in the late afternoon on 2013/10/26?\", \"31 minutes\"], [\"who did I talk to on 2013/10/26?\", \"Avery, Olivia, Nora, Rylee\"], [\"Did I talk to Avery, Olivia, Nora, Rylee on 2013/10/26?\", \"yes\"], [\"Did I talk to anyone on 2013/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5795\", \"logical_representation\": [\"2013/10/26\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/26?\", \"35 minutes\"], [\"what did I watch on tv on 2013/10/26?\", \"a documentary\"], [\"Did I watch tv on 2013/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/28\": {\"breakfast\": {\"eid\": \"e5798\", \"logical_representation\": [\"2013/10/28\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/10/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5799\", \"logical_representation\": [\"2013/10/28\", \"Hazel, Olivia, Rylee\", \"in the morning\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Hazel, Olivia, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia, Rylee in the morning on 2013/10/28?\", \"23 minutes\"], [\"who did I talk to on 2013/10/28?\", \"Hazel, Olivia, Rylee\"], [\"Did I talk to Hazel, Olivia, Rylee on 2013/10/28?\", \"yes\"], [\"Did I talk to anyone on 2013/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5800\", \"logical_representation\": [\"2013/10/28\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/10/28?\", \"51 minutes\"], [\"what did I read on 2013/10/28?\", \"news\"], [\"Did I read on 2013/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/29\": {\"exercise\": {\"eid\": \"e5801\", \"logical_representation\": [\"2013/10/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/10/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5802\", \"logical_representation\": [\"2013/10/29\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/10/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5803\", \"logical_representation\": [\"2013/10/29\", \"lunch\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5804\", \"logical_representation\": [\"2013/10/29\", \"Avery, Layla\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Avery, Layla for 28 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla in the late afternoon on 2013/10/29?\", \"28 minutes\"], [\"who did I talk to on 2013/10/29?\", \"Avery, Layla\"], [\"Did I talk to Avery, Layla on 2013/10/29?\", \"yes\"], [\"Did I talk to anyone on 2013/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5805\", \"logical_representation\": [\"2013/10/29\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/10/29?\", \"33 minutes\"], [\"what did I read on 2013/10/29?\", \"news\"], [\"Did I read on 2013/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/30\": {\"exercise\": {\"eid\": \"e5806\", \"logical_representation\": [\"2013/10/30\", \"running\"], \"text_template_based\": \"I did running on 2013/10/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5807\", \"logical_representation\": [\"2013/10/30\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/10/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5808\", \"logical_representation\": [\"2013/10/30\", \"dinner\", \"tacos\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/10/30\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2013/10/31\": {\"exercise\": {\"eid\": \"e5809\", \"logical_representation\": [\"2013/10/31\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/10/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/31?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5810\", \"logical_representation\": [\"2013/10/31\", \"Piper, Rylee, Nevaeh, Olivia\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee, Nevaeh, Olivia for 46 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Nevaeh, Olivia in the late afternoon on 2013/10/31?\", \"46 minutes\"], [\"who did I talk to on 2013/10/31?\", \"Piper, Rylee, Nevaeh, Olivia\"], [\"Did I talk to Piper, Rylee, Nevaeh, Olivia on 2013/10/31?\", \"yes\"], [\"Did I talk to anyone on 2013/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5811\", \"logical_representation\": [\"2013/10/31\", \"Piper, Rylee\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Piper, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the early evening on 2013/10/31?\", \"43 minutes\"], [\"who did I talk to on 2013/10/31?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2013/10/31?\", \"yes\"], [\"Did I talk to anyone on 2013/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5812\", \"logical_representation\": [\"2013/10/31\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/10/31?\", \"54 minutes\"], [\"what did I read on 2013/10/31?\", \"a book\"], [\"Did I read on 2013/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/01\": {\"exercise\": {\"eid\": \"e5813\", \"logical_representation\": [\"2013/11/01\", \"biking\"], \"text_template_based\": \"I did biking on 2013/11/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/01?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5814\", \"logical_representation\": [\"2013/11/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery\"], \"text_template_based\": \"I had breakfast with Avery. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/11/01?\", \"Avery\"], [\"what did I eat for breakfast on 2013/11/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5815\", \"logical_representation\": [\"2013/11/01\", \"Eva, Nora, Olivia\", \"late in the evening\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Eva, Nora, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Olivia late in the evening on 2013/11/01?\", \"8 minutes\"], [\"who did I talk to on 2013/11/01?\", \"Eva, Nora, Olivia\"], [\"Did I talk to Eva, Nora, Olivia on 2013/11/01?\", \"yes\"], [\"Did I talk to anyone on 2013/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/03\": {\"exercise\": {\"eid\": \"e5818\", \"logical_representation\": [\"2013/11/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/11/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5819\", \"logical_representation\": [\"2013/11/03\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/11/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5820\", \"logical_representation\": [\"2013/11/03\", \"lunch\", \"fish and chips\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/11/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5821\", \"logical_representation\": [\"2013/11/03\", \"dinner\", \"sushi\", \"Carter\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/11/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5822\", \"logical_representation\": [\"2013/11/03\", \"Piper, Olivia, Hazel, Layla\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Piper, Olivia, Hazel, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Hazel, Layla during lunch hours on 2013/11/03?\", \"37 minutes\"], [\"who did I talk to on 2013/11/03?\", \"Piper, Olivia, Hazel, Layla\"], [\"Did I talk to Piper, Olivia, Hazel, Layla on 2013/11/03?\", \"yes\"], [\"Did I talk to anyone on 2013/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5823\", \"logical_representation\": [\"2013/11/03\", \"Olivia, Eva, Nevaeh\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I talked to Olivia, Eva, Nevaeh for 28 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva, Nevaeh during lunch hours on 2013/11/03?\", \"28 minutes\"], [\"who did I talk to on 2013/11/03?\", \"Olivia, Eva, Nevaeh\"], [\"Did I talk to Olivia, Eva, Nevaeh on 2013/11/03?\", \"yes\"], [\"Did I talk to anyone on 2013/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/05\": {\"dinner\": {\"eid\": \"e5825\", \"logical_representation\": [\"2013/11/05\", \"dinner\", \"a burger\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Emily, Andrew. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/11/05?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for dinner on 2013/11/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5826\", \"logical_representation\": [\"2013/11/05\", \"Nevaeh, Claire\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Nevaeh, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire in the late afternoon on 2013/11/05?\", \"51 minutes\"], [\"who did I talk to on 2013/11/05?\", \"Nevaeh, Claire\"], [\"Did I talk to Nevaeh, Claire on 2013/11/05?\", \"yes\"], [\"Did I talk to anyone on 2013/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5827\", \"logical_representation\": [\"2013/11/05\", \"Avery\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Avery for 49 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2013/11/05?\", \"49 minutes\"], [\"who did I talk to on 2013/11/05?\", \"Avery\"], [\"Did I talk to Avery on 2013/11/05?\", \"yes\"], [\"Did I talk to anyone on 2013/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5828\", \"logical_representation\": [\"2013/11/05\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/11/05?\", \"37 minutes\"], [\"what did I read on 2013/11/05?\", \"a book\"], [\"Did I read on 2013/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/06\": {\"exercise\": {\"eid\": \"e5829\", \"logical_representation\": [\"2013/11/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/11/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5830\", \"logical_representation\": [\"2013/11/06\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Olivia, Layla, Eva, Claire\"], \"text_template_based\": \"I had breakfast with Avery, Olivia, Layla, Eva, Claire. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/11/06?\", \"Avery, Olivia, Layla, Eva, Claire\"], [\"what did I eat for breakfast on 2013/11/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5831\", \"logical_representation\": [\"2013/11/06\", \"lunch\", \"pasta\", \"Benjamin\"], \"text_template_based\": \"I had pasta for lunch with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/11/06?\", \"Benjamin\"], [\"what did I eat for lunch on 2013/11/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5832\", \"logical_representation\": [\"2013/11/06\", \"dinner\", \"a burger\", \"Kayden, Emily\"], \"text_template_based\": \"I had a burger for dinner with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/11/06?\", \"Kayden, Emily\"], [\"what did I eat for dinner on 2013/11/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5833\", \"logical_representation\": [\"2013/11/06\", \"Nora, Layla, Piper\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Nora, Layla, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Piper in the early evening on 2013/11/06?\", \"15 minutes\"], [\"who did I talk to on 2013/11/06?\", \"Nora, Layla, Piper\"], [\"Did I talk to Nora, Layla, Piper on 2013/11/06?\", \"yes\"], [\"Did I talk to anyone on 2013/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5834\", \"logical_representation\": [\"2013/11/06\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/11/06?\", \"45 minutes\"], [\"what did I read on 2013/11/06?\", \"social media\"], [\"Did I read on 2013/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5835\", \"logical_representation\": [\"2013/11/06\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/06?\", \"6 minutes\"], [\"what did I watch on tv on 2013/11/06?\", \"a tv series\"], [\"Did I watch tv on 2013/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/08\": {\"exercise\": {\"eid\": \"e5840\", \"logical_representation\": [\"2013/11/08\", \"running\"], \"text_template_based\": \"I did running on 2013/11/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5841\", \"logical_representation\": [\"2013/11/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/11/08?\", \"Carter\"], [\"what did I eat for breakfast on 2013/11/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5842\", \"logical_representation\": [\"2013/11/08\", \"lunch\", \"indian food\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Carter, Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/11/08?\", \"Andrew, Carter, Emily\"], [\"what did I eat for lunch on 2013/11/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5843\", \"logical_representation\": [\"2013/11/08\", \"dinner\", \"fish and chips\", \"Layla\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/11/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5844\", \"logical_representation\": [\"2013/11/08\", \"Eva, Piper\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Eva, Piper for 24 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper in the early evening on 2013/11/08?\", \"24 minutes\"], [\"who did I talk to on 2013/11/08?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2013/11/08?\", \"yes\"], [\"Did I talk to anyone on 2013/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5845\", \"logical_representation\": [\"2013/11/08\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/11/08?\", \"42 minutes\"], [\"what did I read on 2013/11/08?\", \"a book\"], [\"Did I read on 2013/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5846\", \"logical_representation\": [\"2013/11/08\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/08?\", \"32 minutes\"], [\"what did I watch on tv on 2013/11/08?\", \"news\"], [\"Did I watch tv on 2013/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/09\": {\"exercise\": {\"eid\": \"e5847\", \"logical_representation\": [\"2013/11/09\", \"biking\"], \"text_template_based\": \"I did biking on 2013/11/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5848\", \"logical_representation\": [\"2013/11/09\", \"lunch\", \"sandwich\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/11/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5849\", \"logical_representation\": [\"2013/11/09\", \"dinner\", \"tacos\", \"Piper\"], \"text_template_based\": \"I had dinner with Piper. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/11/09?\", \"Piper\"], [\"what did I eat for dinner on 2013/11/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5850\", \"logical_representation\": [\"2013/11/09\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/09?\", \"49 minutes\"], [\"what did I watch on tv on 2013/11/09?\", \"news\"], [\"Did I watch tv on 2013/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/10\": {\"chat0\": {\"eid\": \"e5851\", \"logical_representation\": [\"2013/11/10\", \"Kinsley\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2013/11/10?\", \"21 minutes\"], [\"who did I talk to on 2013/11/10?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2013/11/10?\", \"yes\"], [\"Did I talk to anyone on 2013/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5852\", \"logical_representation\": [\"2013/11/10\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/11/10?\", \"46 minutes\"], [\"what did I read on 2013/11/10?\", \"a book\"], [\"Did I read on 2013/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/11\": {\"breakfast\": {\"eid\": \"e5853\", \"logical_representation\": [\"2013/11/11\", \"breakfast\", \"oatmeal\", \"Kayden\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/11/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5854\", \"logical_representation\": [\"2013/11/11\", \"a tv series\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/11?\", \"52 minutes\"], [\"what did I watch on tv on 2013/11/11?\", \"a tv series\"], [\"Did I watch tv on 2013/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/12\": {\"exercise\": {\"eid\": \"e5855\", \"logical_representation\": [\"2013/11/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/11/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5856\", \"logical_representation\": [\"2013/11/12\", \"Rylee, Claire\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Rylee, Claire for 48 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire in the late afternoon on 2013/11/12?\", \"48 minutes\"], [\"who did I talk to on 2013/11/12?\", \"Rylee, Claire\"], [\"Did I talk to Rylee, Claire on 2013/11/12?\", \"yes\"], [\"Did I talk to anyone on 2013/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5857\", \"logical_representation\": [\"2013/11/12\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I watched a documentary for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/12?\", \"26 minutes\"], [\"what did I watch on tv on 2013/11/12?\", \"a documentary\"], [\"Did I watch tv on 2013/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/15\": {\"exercise\": {\"eid\": \"e5865\", \"logical_representation\": [\"2013/11/15\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/11/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/15?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5866\", \"logical_representation\": [\"2013/11/15\", \"breakfast\", \"toast and cheese\", \"Avery, Hazel, Nora, Claire, Eva, Olivia, Lydia, Kinsley\"], \"text_template_based\": \"I had toast and cheese for breakfast with Avery, Hazel, Nora, Claire, Eva, Olivia, Lydia, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/11/15?\", \"Avery, Hazel, Nora, Claire, Eva, Olivia, Lydia, Kinsley\"], [\"what did I eat for breakfast on 2013/11/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5867\", \"logical_representation\": [\"2013/11/15\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/11/15?\", \"50 minutes\"], [\"what did I read on 2013/11/15?\", \"a book\"], [\"Did I read on 2013/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/16\": {\"exercise\": {\"eid\": \"e5868\", \"logical_representation\": [\"2013/11/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/11/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5869\", \"logical_representation\": [\"2013/11/16\", \"dinner\", \"a burger\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Emily, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/11/16?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2013/11/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5870\", \"logical_representation\": [\"2013/11/16\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/11/16?\", \"8 minutes\"], [\"what did I read on 2013/11/16?\", \"news\"], [\"Did I read on 2013/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/17\": {\"breakfast\": {\"eid\": \"e5871\", \"logical_representation\": [\"2013/11/17\", \"breakfast\", \"pancakes\", \"Hazel, Rylee, Lydia, Avery, Piper, Eva, Claire, Kinsley, Layla\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/11/17\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5872\", \"logical_representation\": [\"2013/11/17\", \"lunch\", \"sandwich\", \"Avery, Willow\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/11/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5873\", \"logical_representation\": [\"2013/11/17\", \"dinner\", \"indian food\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/11/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5874\", \"logical_representation\": [\"2013/11/17\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/11/17?\", \"25 minutes\"], [\"what did I read on 2013/11/17?\", \"a book\"], [\"Did I read on 2013/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5875\", \"logical_representation\": [\"2013/11/17\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/17?\", \"46 minutes\"], [\"what did I watch on tv on 2013/11/17?\", \"a documentary\"], [\"Did I watch tv on 2013/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/20\": {\"lunch\": {\"eid\": \"e5883\", \"logical_representation\": [\"2013/11/20\", \"lunch\", \"chinese food\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had lunch with Carter, Andrew, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/11/20?\", \"Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2013/11/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5884\", \"logical_representation\": [\"2013/11/20\", \"dinner\", \"a burger\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Emily, Andrew, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/11/20?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2013/11/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5885\", \"logical_representation\": [\"2013/11/20\", \"Layla, Piper, Lydia, Nevaeh\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Lydia, Nevaeh for 23 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Lydia, Nevaeh in the early evening on 2013/11/20?\", \"23 minutes\"], [\"who did I talk to on 2013/11/20?\", \"Layla, Piper, Lydia, Nevaeh\"], [\"Did I talk to Layla, Piper, Lydia, Nevaeh on 2013/11/20?\", \"yes\"], [\"Did I talk to anyone on 2013/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/21\": {\"breakfast\": {\"eid\": \"e5886\", \"logical_representation\": [\"2013/11/21\", \"breakfast\", \"cereals\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had cereals for breakfast with Emily, Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/11/21?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2013/11/21\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2013/11/23\": {\"lunch\": {\"eid\": \"e5891\", \"logical_representation\": [\"2013/11/23\", \"lunch\", \"pasta\", \"Nevaeh, Kinsley, Rylee, Hazel, Lydia, Nora, Claire, Piper, Avery, Layla, Piper, Eva\"], \"text_template_based\": \"I had lunch with Nevaeh, Kinsley, Rylee, Hazel, Lydia, Nora, Claire, Piper, Avery, Layla, Piper, Eva. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/11/23?\", \"Nevaeh, Kinsley, Rylee, Hazel, Lydia, Nora, Claire, Piper, Avery, Layla, Piper, Eva\"], [\"what did I eat for lunch on 2013/11/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5892\", \"logical_representation\": [\"2013/11/23\", \"dinner\", \"sandwich\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/11/23?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2013/11/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5893\", \"logical_representation\": [\"2013/11/23\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/11/23?\", \"25 minutes\"], [\"what did I read on 2013/11/23?\", \"news\"], [\"Did I read on 2013/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5894\", \"logical_representation\": [\"2013/11/23\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/23?\", \"17 minutes\"], [\"what did I watch on tv on 2013/11/23?\", \"a movie\"], [\"Did I watch tv on 2013/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/24\": {\"exercise\": {\"eid\": \"e5895\", \"logical_representation\": [\"2013/11/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/11/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5896\", \"logical_representation\": [\"2013/11/24\", \"lunch\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/11/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5897\", \"logical_representation\": [\"2013/11/24\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/11/24?\", \"22 minutes\"], [\"what did I read on 2013/11/24?\", \"a book\"], [\"Did I read on 2013/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5898\", \"logical_representation\": [\"2013/11/24\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I watched a documentary for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/24?\", \"26 minutes\"], [\"what did I watch on tv on 2013/11/24?\", \"a documentary\"], [\"Did I watch tv on 2013/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/26\": {\"breakfast\": {\"eid\": \"e5901\", \"logical_representation\": [\"2013/11/26\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/11/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5902\", \"logical_representation\": [\"2013/11/26\", \"lunch\", \"fish and chips\", \"Carter, Emily\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/11/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5903\", \"logical_representation\": [\"2013/11/26\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I watched a tv series for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/26?\", \"34 minutes\"], [\"what did I watch on tv on 2013/11/26?\", \"a tv series\"], [\"Did I watch tv on 2013/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/27\": {\"exercise\": {\"eid\": \"e5904\", \"logical_representation\": [\"2013/11/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5905\", \"logical_representation\": [\"2013/11/27\", \"breakfast\", \"cereals\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Andrew. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/11/27?\", \"Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2013/11/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5906\", \"logical_representation\": [\"2013/11/27\", \"dinner\", \"steak\", \"Olivia\"], \"text_template_based\": \"I had steak for dinner with Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/11/27?\", \"Olivia\"], [\"what did I eat for dinner on 2013/11/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5907\", \"logical_representation\": [\"2013/11/27\", \"Nora, Avery, Layla\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Nora, Avery, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery, Layla during lunch hours on 2013/11/27?\", \"11 minutes\"], [\"who did I talk to on 2013/11/27?\", \"Nora, Avery, Layla\"], [\"Did I talk to Nora, Avery, Layla on 2013/11/27?\", \"yes\"], [\"Did I talk to anyone on 2013/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/29\": {\"exercise\": {\"eid\": \"e5914\", \"logical_representation\": [\"2013/11/29\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/11/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/29?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5915\", \"logical_representation\": [\"2013/11/29\", \"dinner\", \"indian food\", \"Rylee, Piper, Kinsley\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/11/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5916\", \"logical_representation\": [\"2013/11/29\", \"Claire, Olivia, Nevaeh\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia, Nevaeh for 28 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Nevaeh in the early evening on 2013/11/29?\", \"28 minutes\"], [\"who did I talk to on 2013/11/29?\", \"Claire, Olivia, Nevaeh\"], [\"Did I talk to Claire, Olivia, Nevaeh on 2013/11/29?\", \"yes\"], [\"Did I talk to anyone on 2013/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5917\", \"logical_representation\": [\"2013/11/29\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/29?\", \"33 minutes\"], [\"what did I watch on tv on 2013/11/29?\", \"a documentary\"], [\"Did I watch tv on 2013/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/30\": {\"dinner\": {\"eid\": \"e5918\", \"logical_representation\": [\"2013/11/30\", \"dinner\", \"tacos\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/11/30\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5919\", \"logical_representation\": [\"2013/11/30\", \"Piper\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2013/11/30?\", \"14 minutes\"], [\"who did I talk to on 2013/11/30?\", \"Piper\"], [\"Did I talk to Piper on 2013/11/30?\", \"yes\"], [\"Did I talk to anyone on 2013/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5920\", \"logical_representation\": [\"2013/11/30\", \"Nevaeh, Nora, Eva, Rylee\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Nora, Eva, Rylee for 38 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Eva, Rylee in the early afternoon on 2013/11/30?\", \"38 minutes\"], [\"who did I talk to on 2013/11/30?\", \"Nevaeh, Nora, Eva, Rylee\"], [\"Did I talk to Nevaeh, Nora, Eva, Rylee on 2013/11/30?\", \"yes\"], [\"Did I talk to anyone on 2013/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5921\", \"logical_representation\": [\"2013/11/30\", \"a book\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/11/30?\", \"40 minutes\"], [\"what did I read on 2013/11/30?\", \"a book\"], [\"Did I read on 2013/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/02\": {\"lunch\": {\"eid\": \"e5928\", \"logical_representation\": [\"2013/12/02\", \"lunch\", \"steak\", \"Avery, Nora, Lydia\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/12/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5929\", \"logical_representation\": [\"2013/12/02\", \"dinner\", \"sandwich\", \"Eva, Lydia, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/12/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2013/12/03\": {\"breakfast\": {\"eid\": \"e5930\", \"logical_representation\": [\"2013/12/03\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had cereals for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/12/03?\", \"Carter\"], [\"what did I eat for breakfast on 2013/12/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5931\", \"logical_representation\": [\"2013/12/03\", \"Eva, Olivia, Piper, Hazel\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Eva, Olivia, Piper, Hazel for 47 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Piper, Hazel in the early evening on 2013/12/03?\", \"47 minutes\"], [\"who did I talk to on 2013/12/03?\", \"Eva, Olivia, Piper, Hazel\"], [\"Did I talk to Eva, Olivia, Piper, Hazel on 2013/12/03?\", \"yes\"], [\"Did I talk to anyone on 2013/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5932\", \"logical_representation\": [\"2013/12/03\", \"Eva, Kinsley, Avery, Nevaeh\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley, Avery, Nevaeh for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Avery, Nevaeh during lunch hours on 2013/12/03?\", \"31 minutes\"], [\"who did I talk to on 2013/12/03?\", \"Eva, Kinsley, Avery, Nevaeh\"], [\"Did I talk to Eva, Kinsley, Avery, Nevaeh on 2013/12/03?\", \"yes\"], [\"Did I talk to anyone on 2013/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5933\", \"logical_representation\": [\"2013/12/03\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I watched a tv series for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/03?\", \"50 minutes\"], [\"what did I watch on tv on 2013/12/03?\", \"a tv series\"], [\"Did I watch tv on 2013/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/04\": {\"exercise\": {\"eid\": \"e5934\", \"logical_representation\": [\"2013/12/04\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/12/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/04?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5935\", \"logical_representation\": [\"2013/12/04\", \"lunch\", \"steak\", \"Hazel, Piper, Kinsley, Eva, Nora, Claire, Rylee\"], \"text_template_based\": \"I had lunch with Hazel, Piper, Kinsley, Eva, Nora, Claire, Rylee. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/12/04?\", \"Hazel, Piper, Kinsley, Eva, Nora, Claire, Rylee\"], [\"what did I eat for lunch on 2013/12/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5936\", \"logical_representation\": [\"2013/12/04\", \"a documentary\", \"28 minutes\"], \"text_template_based\": \"I watched a documentary for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/04?\", \"28 minutes\"], [\"what did I watch on tv on 2013/12/04?\", \"a documentary\"], [\"Did I watch tv on 2013/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/05\": {\"exercise\": {\"eid\": \"e5937\", \"logical_representation\": [\"2013/12/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/12/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5938\", \"logical_representation\": [\"2013/12/05\", \"lunch\", \"sushi\", \"Lydia, Rylee, Avery, Olivia, Piper, Piper, Layla, Nora, Nevaeh, Kinsley, Hazel, Eva, Claire\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/12/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5939\", \"logical_representation\": [\"2013/12/05\", \"Piper\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2013/12/05?\", \"34 minutes\"], [\"who did I talk to on 2013/12/05?\", \"Piper\"], [\"Did I talk to Piper on 2013/12/05?\", \"yes\"], [\"Did I talk to anyone on 2013/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5940\", \"logical_representation\": [\"2013/12/05\", \"Piper\", \"in the morning\", \"23 minutes\"], \"text_template_based\": \"I talked to Piper for 23 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2013/12/05?\", \"23 minutes\"], [\"who did I talk to on 2013/12/05?\", \"Piper\"], [\"Did I talk to Piper on 2013/12/05?\", \"yes\"], [\"Did I talk to anyone on 2013/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/06\": {\"exercise\": {\"eid\": \"e5941\", \"logical_representation\": [\"2013/12/06\", \"biking\"], \"text_template_based\": \"I did biking on 2013/12/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/06?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5942\", \"logical_representation\": [\"2013/12/06\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/12/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5943\", \"logical_representation\": [\"2013/12/06\", \"lunch\", \"pasta\", \"Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/12/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5944\", \"logical_representation\": [\"2013/12/06\", \"dinner\", \"pasta\", \"Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/12/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5945\", \"logical_representation\": [\"2013/12/06\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I watched a movie for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/06?\", \"53 minutes\"], [\"what did I watch on tv on 2013/12/06?\", \"a movie\"], [\"Did I watch tv on 2013/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/08\": {\"breakfast\": {\"eid\": \"e5949\", \"logical_representation\": [\"2013/12/08\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/12/08\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5950\", \"logical_representation\": [\"2013/12/08\", \"dinner\", \"indian food\", \"Emily, Carter\"], \"text_template_based\": \"I had indian food for dinner with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/12/08?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2013/12/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5951\", \"logical_representation\": [\"2013/12/08\", \"Claire, Piper\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Claire, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper in the late afternoon on 2013/12/08?\", \"45 minutes\"], [\"who did I talk to on 2013/12/08?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2013/12/08?\", \"yes\"], [\"Did I talk to anyone on 2013/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5952\", \"logical_representation\": [\"2013/12/08\", \"Hazel\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I talked to Hazel for 48 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the morning on 2013/12/08?\", \"48 minutes\"], [\"who did I talk to on 2013/12/08?\", \"Hazel\"], [\"Did I talk to Hazel on 2013/12/08?\", \"yes\"], [\"Did I talk to anyone on 2013/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5953\", \"logical_representation\": [\"2013/12/08\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/12/08?\", \"10 minutes\"], [\"what did I read on 2013/12/08?\", \"social media\"], [\"Did I read on 2013/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5954\", \"logical_representation\": [\"2013/12/08\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I watched a tv series for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/08?\", \"43 minutes\"], [\"what did I watch on tv on 2013/12/08?\", \"a tv series\"], [\"Did I watch tv on 2013/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/09\": {\"breakfast\": {\"eid\": \"e5955\", \"logical_representation\": [\"2013/12/09\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Avery, Eva, Nevaeh, Piper, Hazel, Olivia, Nora, Piper\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/12/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5956\", \"logical_representation\": [\"2013/12/09\", \"dinner\", \"sushi\", \"Eva, Claire, Kinsley, Layla, Piper, Rylee, Nevaeh, Nora, Lydia, Avery, Piper, Olivia, Hazel\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/12/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5957\", \"logical_representation\": [\"2013/12/09\", \"news\", \"53 minutes\"], \"text_template_based\": \"I watched news for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/09?\", \"53 minutes\"], [\"what did I watch on tv on 2013/12/09?\", \"news\"], [\"Did I watch tv on 2013/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/10\": {\"dinner\": {\"eid\": \"e5958\", \"logical_representation\": [\"2013/12/10\", \"dinner\", \"pasta\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Carter. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/12/10?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2013/12/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5959\", \"logical_representation\": [\"2013/12/10\", \"Olivia\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2013/12/10?\", \"22 minutes\"], [\"who did I talk to on 2013/12/10?\", \"Olivia\"], [\"Did I talk to Olivia on 2013/12/10?\", \"yes\"], [\"Did I talk to anyone on 2013/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/11\": {\"chat0\": {\"eid\": \"e5960\", \"logical_representation\": [\"2013/12/11\", \"Avery, Nevaeh, Nora, Eva\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Avery, Nevaeh, Nora, Eva for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Nora, Eva in the early afternoon on 2013/12/11?\", \"36 minutes\"], [\"who did I talk to on 2013/12/11?\", \"Avery, Nevaeh, Nora, Eva\"], [\"Did I talk to Avery, Nevaeh, Nora, Eva on 2013/12/11?\", \"yes\"], [\"Did I talk to anyone on 2013/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5961\", \"logical_representation\": [\"2013/12/11\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/12/11?\", \"17 minutes\"], [\"what did I read on 2013/12/11?\", \"social media\"], [\"Did I read on 2013/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/12\": {\"exercise\": {\"eid\": \"e5962\", \"logical_representation\": [\"2013/12/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/12/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5963\", \"logical_representation\": [\"2013/12/12\", \"breakfast\", \"pancakes\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had pancakes for breakfast with Avery, Willow, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/12/12?\", \"Avery, Willow, Jackson, Benjamin\"], [\"what did I eat for breakfast on 2013/12/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5964\", \"logical_representation\": [\"2013/12/12\", \"lunch\", \"a burger\", \"Andrew, Emily\"], \"text_template_based\": \"I had a burger for lunch with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/12/12?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2013/12/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5965\", \"logical_representation\": [\"2013/12/12\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/12/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5966\", \"logical_representation\": [\"2013/12/12\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/12?\", \"23 minutes\"], [\"what did I watch on tv on 2013/12/12?\", \"news\"], [\"Did I watch tv on 2013/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/14\": {\"exercise\": {\"eid\": \"e5971\", \"logical_representation\": [\"2013/12/14\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/12/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/14?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5972\", \"logical_representation\": [\"2013/12/14\", \"breakfast\", \"cereals\", \"Carter, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/12/14?\", \"Carter, Emily\"], [\"what did I eat for breakfast on 2013/12/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5973\", \"logical_representation\": [\"2013/12/14\", \"lunch\", \"steak\", \"Emily\"], \"text_template_based\": \"I had steak for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/12/14?\", \"Emily\"], [\"what did I eat for lunch on 2013/12/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5974\", \"logical_representation\": [\"2013/12/14\", \"dinner\", \"sandwich\", \"Layla, Claire, Piper, Nevaeh, Nora, Olivia\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/12/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2013/12/15\": {\"exercise\": {\"eid\": \"e5975\", \"logical_representation\": [\"2013/12/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/12/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5976\", \"logical_representation\": [\"2013/12/15\", \"breakfast\", \"oatmeal\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had oatmeal for breakfast with Avery, Willow, Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/12/15?\", \"Avery, Willow, Benjamin, Jackson\"], [\"what did I eat for breakfast on 2013/12/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5977\", \"logical_representation\": [\"2013/12/15\", \"lunch\", \"fish and chips\", \"Andrew, Carter\"], \"text_template_based\": \"I had fish and chips for lunch with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/12/15?\", \"Andrew, Carter\"], [\"what did I eat for lunch on 2013/12/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5978\", \"logical_representation\": [\"2013/12/15\", \"Lydia\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Lydia for 32 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2013/12/15?\", \"32 minutes\"], [\"who did I talk to on 2013/12/15?\", \"Lydia\"], [\"Did I talk to Lydia on 2013/12/15?\", \"yes\"], [\"Did I talk to anyone on 2013/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5979\", \"logical_representation\": [\"2013/12/15\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/15?\", \"20 minutes\"], [\"what did I watch on tv on 2013/12/15?\", \"a documentary\"], [\"Did I watch tv on 2013/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/17\": {\"breakfast\": {\"eid\": \"e5985\", \"logical_representation\": [\"2013/12/17\", \"breakfast\", \"toast and cheese\", \"Kinsley, Lydia, Hazel, Claire, Avery, Rylee\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/12/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5986\", \"logical_representation\": [\"2013/12/17\", \"dinner\", \"tacos\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had tacos for dinner with Willow, Avery, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/12/17?\", \"Willow, Avery, Jackson, Benjamin\"], [\"what did I eat for dinner on 2013/12/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5987\", \"logical_representation\": [\"2013/12/17\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/12/17?\", \"36 minutes\"], [\"what did I read on 2013/12/17?\", \"news\"], [\"Did I read on 2013/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/18\": {\"exercise\": {\"eid\": \"e5988\", \"logical_representation\": [\"2013/12/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/12/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5989\", \"logical_representation\": [\"2013/12/18\", \"breakfast\", \"cereals\", \"Nevaeh, Piper, Kinsley, Lydia, Avery, Eva\"], \"text_template_based\": \"I had cereals for breakfast with Nevaeh, Piper, Kinsley, Lydia, Avery, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/12/18?\", \"Nevaeh, Piper, Kinsley, Lydia, Avery, Eva\"], [\"what did I eat for breakfast on 2013/12/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5990\", \"logical_representation\": [\"2013/12/18\", \"lunch\", \"steak\", \"Benjamin\"], \"text_template_based\": \"I had lunch with Benjamin. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/12/18?\", \"Benjamin\"], [\"what did I eat for lunch on 2013/12/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5991\", \"logical_representation\": [\"2013/12/18\", \"Nevaeh, Rylee, Olivia\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee, Olivia for 40 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Olivia in the early afternoon on 2013/12/18?\", \"40 minutes\"], [\"who did I talk to on 2013/12/18?\", \"Nevaeh, Rylee, Olivia\"], [\"Did I talk to Nevaeh, Rylee, Olivia on 2013/12/18?\", \"yes\"], [\"Did I talk to anyone on 2013/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/19\": {\"exercise\": {\"eid\": \"e5992\", \"logical_representation\": [\"2013/12/19\", \"running\"], \"text_template_based\": \"I did running on 2013/12/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5993\", \"logical_representation\": [\"2013/12/19\", \"Piper, Hazel, Lydia, Piper\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Piper, Hazel, Lydia, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Lydia, Piper during lunch hours on 2013/12/19?\", \"6 minutes\"], [\"who did I talk to on 2013/12/19?\", \"Piper, Hazel, Lydia, Piper\"], [\"Did I talk to Piper, Hazel, Lydia, Piper on 2013/12/19?\", \"yes\"], [\"Did I talk to anyone on 2013/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e5994\", \"logical_representation\": [\"2013/12/19\", \"Kinsley, Olivia, Claire, Piper\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I talked to Kinsley, Olivia, Claire, Piper for 24 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Claire, Piper during lunch hours on 2013/12/19?\", \"24 minutes\"], [\"who did I talk to on 2013/12/19?\", \"Kinsley, Olivia, Claire, Piper\"], [\"Did I talk to Kinsley, Olivia, Claire, Piper on 2013/12/19?\", \"yes\"], [\"Did I talk to anyone on 2013/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5995\", \"logical_representation\": [\"2013/12/19\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/12/19?\", \"55 minutes\"], [\"what did I read on 2013/12/19?\", \"a book\"], [\"Did I read on 2013/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5996\", \"logical_representation\": [\"2013/12/19\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/19?\", \"50 minutes\"], [\"what did I watch on tv on 2013/12/19?\", \"a documentary\"], [\"Did I watch tv on 2013/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/21\": {\"dinner\": {\"eid\": \"e6002\", \"logical_representation\": [\"2013/12/21\", \"dinner\", \"steak\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Emily, Carter, Andrew. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/12/21?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for dinner on 2013/12/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6003\", \"logical_representation\": [\"2013/12/21\", \"Rylee, Olivia, Hazel, Kinsley\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I talked to Rylee, Olivia, Hazel, Kinsley for 24 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia, Hazel, Kinsley during lunch hours on 2013/12/21?\", \"24 minutes\"], [\"who did I talk to on 2013/12/21?\", \"Rylee, Olivia, Hazel, Kinsley\"], [\"Did I talk to Rylee, Olivia, Hazel, Kinsley on 2013/12/21?\", \"yes\"], [\"Did I talk to anyone on 2013/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6004\", \"logical_representation\": [\"2013/12/21\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/12/21?\", \"13 minutes\"], [\"what did I read on 2013/12/21?\", \"news\"], [\"Did I read on 2013/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6005\", \"logical_representation\": [\"2013/12/21\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I watched a tv series for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/21?\", \"49 minutes\"], [\"what did I watch on tv on 2013/12/21?\", \"a tv series\"], [\"Did I watch tv on 2013/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/22\": {\"lunch\": {\"eid\": \"e6006\", \"logical_representation\": [\"2013/12/22\", \"lunch\", \"a burger\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Kayden, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/12/22?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2013/12/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6007\", \"logical_representation\": [\"2013/12/22\", \"Piper, Claire\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Piper, Claire for 24 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire in the late afternoon on 2013/12/22?\", \"24 minutes\"], [\"who did I talk to on 2013/12/22?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2013/12/22?\", \"yes\"], [\"Did I talk to anyone on 2013/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6008\", \"logical_representation\": [\"2013/12/22\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/12/22?\", \"44 minutes\"], [\"what did I read on 2013/12/22?\", \"social media\"], [\"Did I read on 2013/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6009\", \"logical_representation\": [\"2013/12/22\", \"a documentary\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/22?\", \"38 minutes\"], [\"what did I watch on tv on 2013/12/22?\", \"a documentary\"], [\"Did I watch tv on 2013/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/23\": {\"exercise\": {\"eid\": \"e6010\", \"logical_representation\": [\"2013/12/23\", \"running\"], \"text_template_based\": \"I did running on 2013/12/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6011\", \"logical_representation\": [\"2013/12/23\", \"breakfast\", \"cereals\", \"Piper, Lydia, Nora, Hazel, Olivia, Piper, Layla, Kinsley, Claire, Rylee\"], \"text_template_based\": \"I had breakfast with Piper, Lydia, Nora, Hazel, Olivia, Piper, Layla, Kinsley, Claire, Rylee. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/12/23?\", \"Piper, Lydia, Nora, Hazel, Olivia, Piper, Layla, Kinsley, Claire, Rylee\"], [\"what did I eat for breakfast on 2013/12/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6012\", \"logical_representation\": [\"2013/12/23\", \"lunch\", \"a burger\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had a burger for lunch with Kayden, Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/12/23?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2013/12/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6013\", \"logical_representation\": [\"2013/12/23\", \"dinner\", \"steak\", \"Andrew\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/12/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6014\", \"logical_representation\": [\"2013/12/23\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/12/23?\", \"16 minutes\"], [\"what did I read on 2013/12/23?\", \"news\"], [\"Did I read on 2013/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/24\": {\"exercise\": {\"eid\": \"e6015\", \"logical_representation\": [\"2013/12/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/12/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6016\", \"logical_representation\": [\"2013/12/24\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/12/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6017\", \"logical_representation\": [\"2013/12/24\", \"lunch\", \"a burger\", \"Carter\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/12/24\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6018\", \"logical_representation\": [\"2013/12/24\", \"Eva, Piper\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Eva, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper late in the evening on 2013/12/24?\", \"6 minutes\"], [\"who did I talk to on 2013/12/24?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2013/12/24?\", \"yes\"], [\"Did I talk to anyone on 2013/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6019\", \"logical_representation\": [\"2013/12/24\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/12/24?\", \"52 minutes\"], [\"what did I read on 2013/12/24?\", \"news\"], [\"Did I read on 2013/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6020\", \"logical_representation\": [\"2013/12/24\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I watched a documentary for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/24?\", \"39 minutes\"], [\"what did I watch on tv on 2013/12/24?\", \"a documentary\"], [\"Did I watch tv on 2013/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/29\": {\"breakfast\": {\"eid\": \"e6034\", \"logical_representation\": [\"2013/12/29\", \"breakfast\", \"cereals\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/12/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6035\", \"logical_representation\": [\"2013/12/29\", \"news\", \"17 minutes\"], \"text_template_based\": \"I watched news for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/29?\", \"17 minutes\"], [\"what did I watch on tv on 2013/12/29?\", \"news\"], [\"Did I watch tv on 2013/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/31\": {\"exercise\": {\"eid\": \"e6040\", \"logical_representation\": [\"2013/12/31\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/12/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/31?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6041\", \"logical_representation\": [\"2013/12/31\", \"breakfast\", \"toast and cheese\", \"Nevaeh, Hazel, Claire, Olivia, Piper\"], \"text_template_based\": \"I had breakfast with Nevaeh, Hazel, Claire, Olivia, Piper. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/12/31?\", \"Nevaeh, Hazel, Claire, Olivia, Piper\"], [\"what did I eat for breakfast on 2013/12/31\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6042\", \"logical_representation\": [\"2013/12/31\", \"Hazel\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2013/12/31?\", \"49 minutes\"], [\"who did I talk to on 2013/12/31?\", \"Hazel\"], [\"Did I talk to Hazel on 2013/12/31?\", \"yes\"], [\"Did I talk to anyone on 2013/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/13\": {\"travel\": {\"eid\": \"e6043\", \"logical_representation\": [\"2014/01/13\", \"2014/01/23\", [\"Piper\"], \"Bangkok, Thailand\"], \"text_template_based\": \"On 2014/01/13 Piper and I went to Bangkok, Thailand together for 10 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Bangkok, Thailand on 2014/01/13?\", \"Piper\"], [\"who did I go with to Bangkok, Thailand?\", \"Piper\"], [\"where did I go on 2014/01/13?\", \"Bangkok, Thailand\"], [\"when did I go to Bangkok, Thailand?\", \"2014/01/13\"], [\"when did I go to Bangkok, Thailand with Piper ?\", \"2014/01/13\"], [\"How long did I stay in Bangkok, Thailand?\", \"10\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6217\", \"logical_representation\": [\"2014/01/13\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/01/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6218\", \"logical_representation\": [\"2014/01/13\", \"dinner\", \"tacos\", \"Eva, Hazel, Nora, Olivia, Piper, Layla, Piper\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6219\", \"logical_representation\": [\"2014/01/13\", \"Lydia\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the late afternoon on 2014/01/13?\", \"54 minutes\"], [\"who did I talk to on 2014/01/13?\", \"Lydia\"], [\"Did I talk to Lydia on 2014/01/13?\", \"yes\"], [\"Did I talk to anyone on 2014/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6220\", \"logical_representation\": [\"2014/01/13\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/13?\", \"28 minutes\"], [\"what did I watch on tv on 2014/01/13?\", \"a tv series\"], [\"Did I watch tv on 2014/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/14\": {\"places_visited\": {\"eid\": \"e6044\", \"logical_representation\": [\"2014/01/14\", [\"Piper\"], \"National Museum & Wang Na Palace\", \"took a group photo\", \"special\"], \"text_template_based\": \"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2014/01 with Piper.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Bangkok, Thailand on 2014/01\", \"National Museum & Wang Na Palace\"], [\"when did I visit National Museum & Wang Na Palace during my trip to Bangkok, Thailand\", \"2014/01/14\"], [\"when did I visit National Museum & Wang Na Palace \", \"2014/01/14\"], [\"who went with me to visit National Museum & Wang Na Palace ?\", \"Piper\"], [\"who went with me to visit National Museum & Wang Na Palace during my trip to Bangkok, Thailand on 2014/01?\", \"Piper\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e6049\", \"logical_representation\": [\"2014/01/14\", [\"Piper\"], \"Italian food\", \"Ratchawat Market\"], \"text_template_based\": \"I ate Italian food at Ratchawat Market with Piper on  2014/01/14 when I was in Bangkok, Thailand.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Ratchawat Market ?\", \"Piper\"], [\"who did I eat Italian food with?\", \"Piper\"], [\"where did we eat Italian food during our trip to Bangkok, Thailand on  2014/01/14?\", \"Ratchawat Market\"], [\"when did we eat Italian food at Ratchawat Market during our trip to Bangkok, Thailand?\", \"2014/01/14\"], [\"when did we eat at Ratchawat Market?\", \"2014/01/14\"], [\"when did we eat Italian food?\", \"2014/01/14\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6221\", \"logical_representation\": [\"2014/01/14\", \"breakfast\", \"oatmeal\", \"Nora, Avery, Nevaeh, Piper, Eva, Olivia, Layla, Hazel, Kinsley, Piper, Lydia\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/01/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6222\", \"logical_representation\": [\"2014/01/14\", \"dinner\", \"a burger\", \"Avery, Kinsley, Nora, Rylee, Eva, Hazel, Piper, Nevaeh, Layla, Claire, Olivia, Lydia\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6223\", \"logical_representation\": [\"2014/01/14\", \"Eva, Piper, Nevaeh, Layla\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I talked to Eva, Piper, Nevaeh, Layla for 43 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Nevaeh, Layla during lunch hours on 2014/01/14?\", \"43 minutes\"], [\"who did I talk to on 2014/01/14?\", \"Eva, Piper, Nevaeh, Layla\"], [\"Did I talk to Eva, Piper, Nevaeh, Layla on 2014/01/14?\", \"yes\"], [\"Did I talk to anyone on 2014/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6224\", \"logical_representation\": [\"2014/01/14\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I watched a tv series for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/14?\", \"17 minutes\"], [\"what did I watch on tv on 2014/01/14?\", \"a tv series\"], [\"Did I watch tv on 2014/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/15\": {\"places_visited\": {\"eid\": \"e6045\", \"logical_representation\": [\"2014/01/15\", [\"Piper\"], \"Wat Arun\", \"took a group photo\", \"special\"], \"text_template_based\": \"During my trip to Bangkok, Thailand, I visited Wat Arun on 2014/01 with Piper.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Bangkok, Thailand on 2014/01\", \"Wat Arun\"], [\"when did I visit Wat Arun during my trip to Bangkok, Thailand\", \"2014/01/15\"], [\"when did I visit Wat Arun \", \"2014/01/15\"], [\"who went with me to visit Wat Arun ?\", \"Piper\"], [\"who went with me to visit Wat Arun during my trip to Bangkok, Thailand on 2014/01?\", \"Piper\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e6050\", \"logical_representation\": [\"2014/01/15\", [\"Piper\"], \"local food\", \"Ratchawat Market\"], \"text_template_based\": \"I ate local food at Ratchawat Market with Piper on  2014/01/15 when I was in Bangkok, Thailand.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at Ratchawat Market ?\", \"Piper\"], [\"who did I eat local food with?\", \"Piper\"], [\"where did we eat local food during our trip to Bangkok, Thailand on  2014/01/15?\", \"Ratchawat Market\"], [\"when did we eat local food at Ratchawat Market during our trip to Bangkok, Thailand?\", \"2014/01/15\"], [\"when did we eat at Ratchawat Market?\", \"2014/01/15\"], [\"when did we eat local food?\", \"2014/01/15\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6225\", \"logical_representation\": [\"2014/01/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Avery, Piper, Piper, Layla\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/01/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6226\", \"logical_representation\": [\"2014/01/15\", \"dinner\", \"sandwich\", \"Hazel, Piper, Nevaeh, Lydia, Nora\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6227\", \"logical_representation\": [\"2014/01/15\", \"Eva, Hazel, Kinsley, Piper\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel, Kinsley, Piper for 34 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Kinsley, Piper in the late afternoon on 2014/01/15?\", \"34 minutes\"], [\"who did I talk to on 2014/01/15?\", \"Eva, Hazel, Kinsley, Piper\"], [\"Did I talk to Eva, Hazel, Kinsley, Piper on 2014/01/15?\", \"yes\"], [\"Did I talk to anyone on 2014/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6228\", \"logical_representation\": [\"2014/01/15\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/01/15?\", \"43 minutes\"], [\"what did I read on 2014/01/15?\", \"a book\"], [\"Did I read on 2014/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/16\": {\"places_visited\": {\"eid\": \"e6046\", \"logical_representation\": [\"2014/01/16\", [\"Piper\"], \"Wat Suthat\", \"took a selfie\", \"special\"], \"text_template_based\": \"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2014/01 with Piper.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Bangkok, Thailand on 2014/01\", \"Wat Suthat\"], [\"when did I visit Wat Suthat during my trip to Bangkok, Thailand\", \"2014/01/16\"], [\"when did I visit Wat Suthat \", \"2014/01/16\"], [\"who went with me to visit Wat Suthat ?\", \"Piper\"], [\"who went with me to visit Wat Suthat during my trip to Bangkok, Thailand on 2014/01?\", \"Piper\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6065\", \"logical_representation\": [\"2014/01/16\", \"I went grocery shopping with Andrew, Emily, Kayden. I bought some blackberries, bananas, pineapple juice, tea, mango juice, and shampoo, toothbrush\", \"blackberries, bananas\", \"pineapple juice, tea, mango juice\", \"shampoo, toothbrush\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I went grocery shopping with Andrew, Emily, Kayden. 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I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/01/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6234\", \"logical_representation\": [\"2014/01/17\", \"dinner\", \"pasta\", \"Layla, Claire, Olivia, Hazel, Rylee, Nora, Nevaeh, Avery, Eva, Piper\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6235\", \"logical_representation\": [\"2014/01/17\", \"Kinsley, Hazel, Nora, Nevaeh\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Kinsley, Hazel, Nora, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Nora, Nevaeh during lunch hours on 2014/01/17?\", \"6 minutes\"], [\"who did I talk to on 2014/01/17?\", \"Kinsley, Hazel, Nora, Nevaeh\"], [\"Did I talk to Kinsley, Hazel, Nora, Nevaeh on 2014/01/17?\", \"yes\"], [\"Did I talk to anyone on 2014/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6236\", \"logical_representation\": [\"2014/01/17\", \"a documentary\", \"28 minutes\"], \"text_template_based\": \"I watched a documentary for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/17?\", \"28 minutes\"], [\"what did I watch on tv on 2014/01/17?\", \"a documentary\"], [\"Did I watch tv on 2014/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/18\": {\"places_visited\": {\"eid\": \"e6048\", \"logical_representation\": [\"2014/01/18\", [\"Piper\"], \"Grand Palace\", \"bought some souvenirs\", \"special\"], \"text_template_based\": \"During my trip to Bangkok, Thailand, I visited Grand Palace on 2014/01 with Piper.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Bangkok, Thailand on 2014/01\", \"Grand Palace\"], [\"when did I visit Grand Palace during my trip to Bangkok, Thailand\", \"2014/01/18\"], [\"when did I visit Grand Palace \", \"2014/01/18\"], [\"who went with me to visit Grand Palace ?\", \"Piper\"], [\"who went with me to visit Grand Palace during my trip to Bangkok, Thailand on 2014/01?\", \"Piper\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e6052\", \"logical_representation\": [\"2014/01/18\", [\"Piper\"], \"Italian food\", \"Yaowarat\"], \"text_template_based\": \"I ate Italian food at Yaowarat with Piper on  2014/01/18 when I was in Bangkok, Thailand.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Yaowarat ?\", \"Piper\"], [\"who did I eat Italian food with?\", \"Piper\"], [\"where did we eat Italian food during our trip to Bangkok, Thailand on  2014/01/18?\", \"Yaowarat\"], [\"when did we eat Italian food at Yaowarat during our trip to Bangkok, Thailand?\", \"2014/01/18\"], [\"when did we eat at Yaowarat?\", \"2014/01/18\"], [\"when did we eat Italian food?\", \"2014/01/18\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6066\", \"logical_representation\": [\"2014/01/18\", \"I bought some oranges, bananas, apricots, strawberries, guava juice, toothpaste, conditioner, paper towel, facial wash from the grocery store. I saw Jackson, Willow, Benjamin at the grocery store.\", \"oranges, bananas, apricots, strawberries\", \"guava juice\", \"toothpaste, conditioner, paper towel, facial wash\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I bought some oranges, bananas, apricots, strawberries, guava juice, toothpaste, conditioner, paper towel, facial wash from the grocery store. I saw Jackson, Willow, Benjamin at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/01/18?\", \"oranges, bananas, apricots, strawberries, guava juice, and toothpaste, conditioner, paper towel, facial wash\"], [\"what fruits did I buy from the grocery store on 2014/01/18?\", \"oranges, bananas, apricots, strawberries\"], [\"what drinks did I buy from the grocery store on 2014/01/18?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2014/01/18?\", \"toothpaste, conditioner, paper towel, facial wash\"], [\"who did I see at the grocery store on 2014/01/18?\", \"Jackson, Willow, Benjamin\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6237\", \"logical_representation\": [\"2014/01/18\", \"dinner\", \"sushi\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had sushi for dinner with Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom 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\"logical_representation\": [\"2014/01/20\", \"lunch\", \"sandwich\", \"Avery, Benjamin\"], \"text_template_based\": \"I had sandwich for lunch with Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/01/20?\", \"Avery, Benjamin\"], [\"what did I eat for lunch on 2014/01/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6245\", \"logical_representation\": [\"2014/01/20\", \"Claire, Nora\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I talked to Claire, Nora for 37 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora in the late afternoon on 2014/01/20?\", \"37 minutes\"], [\"who did I talk to on 2014/01/20?\", \"Claire, Nora\"], [\"Did I talk to Claire, Nora on 2014/01/20?\", \"yes\"], [\"Did I talk to anyone on 2014/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6246\", \"logical_representation\": [\"2014/01/20\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/01/20?\", \"23 minutes\"], [\"what did I read on 2014/01/20?\", \"news\"], [\"Did I read on 2014/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/22\": {\"dining\": {\"eid\": \"e6054\", \"logical_representation\": [\"2014/01/22\", [\"Piper\"], \"Chinese food\", \"Ratchawat Market\"], \"text_template_based\": \"I ate Chinese food at Ratchawat Market with Piper on  2014/01/22 when I was in Bangkok, Thailand.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Ratchawat Market ?\", \"Piper\"], [\"who did I eat Chinese food with?\", \"Piper\"], [\"where did we eat Chinese food during our trip to Bangkok, Thailand on  2014/01/22?\", \"Ratchawat Market\"], [\"when did we eat Chinese food at Ratchawat Market during 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\"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/01/22?\", \"6 minutes\"], [\"what did I read on 2014/01/22?\", \"news\"], [\"Did I read on 2014/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6257\", \"logical_representation\": [\"2014/01/22\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/22?\", \"46 minutes\"], [\"what did I watch on tv on 2014/01/22?\", \"a documentary\"], [\"Did I watch tv on 2014/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/23\": {\"dining\": {\"eid\": \"e6055\", \"logical_representation\": [\"2014/01/23\", [\"Piper\"], \"Chinese food\", \"Yaowarat\"], \"text_template_based\": \"I ate Chinese food at Yaowarat with Piper on  2014/01/23 when I was in Bangkok, Thailand.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat 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\"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/01/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6260\", \"logical_representation\": [\"2014/01/23\", \"Nora\", \"during lunch hours\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2014/01/23?\", \"10 minutes\"], [\"who did I talk to on 2014/01/23?\", \"Nora\"], [\"Did I talk to Nora on 2014/01/23?\", \"yes\"], [\"Did I talk to anyone on 2014/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6261\", \"logical_representation\": [\"2014/01/23\", \"news\", \"42 minutes\"], \"text_template_based\": \"I watched news for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/23?\", \"42 minutes\"], [\"what did I watch on tv on 2014/01/23?\", \"news\"], [\"Did I watch tv on 2014/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/06\": {\"personal_medical_care\": {\"eid\": \"e6056\", \"logical_representation\": [\"2014/12/06\", \"I went for an annual physical checkup on 2014/12/06 at the hospital.\", \"hospital\"], \"text_template_based\": \"I went for an annual physical checkup on 2014/12/06 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual physical checkup in 2014?\", \"2014/12/06\"], [\"where did I go for an annual physical checkup on 2014/12/06\", \"hospital\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7490\", \"logical_representation\": [\"2014/12/06\", \"Piper\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2014/12/06?\", \"39 minutes\"], [\"who did I talk to on 2014/12/06?\", \"Piper\"], [\"Did I talk to Piper on 2014/12/06?\", \"yes\"], [\"Did I talk to anyone on 2014/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/24\": {\"parent_medical_care\": {\"eid\": \"e6057\", \"logical_representation\": [\"2014/11/24\", \"I took my parents for their for an annual physical checkup on 2014/11/24 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I took my parents for their for an annual physical checkup on 2014/11/24 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2014?\", \"2014/11/24\"], [\"what did I do on 2014/11/24\", \"I took my parents for their for an annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7444\", \"logical_representation\": [\"2014/11/24\", \"biking\"], \"text_template_based\": \"I did biking on 2014/11/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7445\", \"logical_representation\": [\"2014/11/24\", \"breakfast\", \"toast and cheese\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7446\", \"logical_representation\": [\"2014/11/24\", \"Piper, Olivia, Piper\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Piper, Olivia, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Piper late in the evening on 2014/11/24?\", \"22 minutes\"], [\"who did I talk to on 2014/11/24?\", \"Piper, Olivia, Piper\"], [\"Did I talk to Piper, Olivia, Piper on 2014/11/24?\", \"yes\"], [\"Did I talk to anyone on 2014/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7447\", \"logical_representation\": [\"2014/11/24\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/11/24?\", \"38 minutes\"], [\"what did I read on 2014/11/24?\", \"news\"], [\"Did I read on 2014/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/03\": {\"dating\": {\"eid\": \"e6058\", \"logical_representation\": [\"2014/01/03\", \"Audrey\", \"a park\"], \"text_template_based\": \"On 2014/01/03, I took Audrey on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/01/03\", \"Audrey\"], [\"where did I go for the date on 2014/01/03\", \"a park\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6185\", \"logical_representation\": [\"2014/01/03\", \"Piper\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I talked to Piper for 18 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2014/01/03?\", \"18 minutes\"], [\"who did I talk to on 2014/01/03?\", \"Piper\"], [\"Did I talk to Piper on 2014/01/03?\", \"yes\"], [\"Did I talk to anyone on 2014/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6186\", \"logical_representation\": [\"2014/01/03\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/01/03?\", \"46 minutes\"], [\"what did I read on 2014/01/03?\", \"news\"], [\"Did I read on 2014/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/04\": {\"dating\": {\"eid\": \"e6059\", \"logical_representation\": [\"2014/01/04\", \"Serenity\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Serenity on 2014/01/04 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/01/04\", \"Serenity\"], [\"where did I go for the date on 2014/01/04\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6187\", \"logical_representation\": [\"2014/01/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/01/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6188\", \"logical_representation\": [\"2014/01/04\", \"Piper, Nora, Olivia, Eva\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Olivia, Eva for 32 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Olivia, Eva in the early afternoon on 2014/01/04?\", \"32 minutes\"], [\"who did I talk to on 2014/01/04?\", \"Piper, Nora, Olivia, Eva\"], [\"Did I talk to Piper, Nora, Olivia, Eva on 2014/01/04?\", \"yes\"], [\"Did I talk to anyone on 2014/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6189\", \"logical_representation\": [\"2014/01/04\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/04?\", \"39 minutes\"], [\"what did I watch on tv on 2014/01/04?\", \"news\"], [\"Did I watch tv on 2014/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/01\": {\"hobbies\": {\"eid\": \"e6060\", \"logical_representation\": [\"2014/01/01\", \"I really enjoyed working out on 2014/01/01\", \"working out\", \"Andrew, Carter\"], \"text_template_based\": \"I really enjoyed working out on 2014/01/01\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2014/01/01\"], [\"On 2014/01/01, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6179\", \"logical_representation\": [\"2014/01/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/01/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6180\", \"logical_representation\": [\"2014/01/01\", \"lunch\", \"sushi\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/01/01\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2014/01/07\": {\"grocery\": {\"eid\": \"e6061\", \"logical_representation\": [\"2014/01/07\", \"I bought some mangos, mango juice, sports drinks, chocolate milk, conditioner, shampoo, paper towel, body lotion from the grocery store. I saw Emily, Andrew, Carter, Kayden at the grocery store.\", \"mangos\", \"mango juice, sports drinks, chocolate milk\", \"conditioner, shampoo, paper towel, body lotion\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I bought some mangos, mango juice, sports drinks, chocolate milk, conditioner, shampoo, paper towel, body lotion from the grocery store. I saw Emily, Andrew, Carter, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/01/07?\", \"mangos, mango juice, sports drinks, chocolate milk, and conditioner, shampoo, paper towel, body lotion\"], [\"what fruits did I buy from the grocery store on 2014/01/07?\", \"mangos\"], [\"what drinks did I buy from the grocery store on 2014/01/07?\", \"mango juice, sports drinks, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2014/01/07?\", \"conditioner, shampoo, paper towel, body lotion\"], [\"who did I see at the grocery store on 2014/01/07?\", \"Emily, Andrew, Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6195\", \"logical_representation\": [\"2014/01/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/01/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6196\", \"logical_representation\": [\"2014/01/07\", \"lunch\", \"a burger\", \"Kayden, Carter\"], \"text_template_based\": \"I had a burger for lunch with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/01/07?\", \"Kayden, Carter\"], [\"what did I eat for lunch on 2014/01/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6197\", \"logical_representation\": [\"2014/01/07\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6198\", \"logical_representation\": [\"2014/01/07\", \"Layla\", \"in the morning\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2014/01/07?\", \"12 minutes\"], [\"who did I talk to on 2014/01/07?\", \"Layla\"], [\"Did I talk to Layla on 2014/01/07?\", \"yes\"], [\"Did I talk to anyone on 2014/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6199\", \"logical_representation\": [\"2014/01/07\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/01/07?\", \"44 minutes\"], [\"what did I read on 2014/01/07?\", \"a book\"], [\"Did I read on 2014/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/10\": {\"dating\": {\"eid\": \"e6062\", \"logical_representation\": [\"2014/01/10\", \"Isla\", \"a park\"], \"text_template_based\": \"I went on a date with Isla on 2014/01/10 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/01/10\", \"Isla\"], [\"where did I go for the date on 2014/01/10\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6205\", \"logical_representation\": [\"2014/01/10\", \"breakfast\", \"cereals\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Emily, Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/01/10?\", \"Carter, Emily, Kayden\"], [\"what did I eat for breakfast on 2014/01/10\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6206\", \"logical_representation\": [\"2014/01/10\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/01/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6207\", \"logical_representation\": [\"2014/01/10\", \"dinner\", \"chinese food\", \"Avery, Rylee, Lydia, Nevaeh, Piper, Layla, Nora, Claire, Kinsley, Olivia, Eva, Piper, Hazel\"], \"text_template_based\": \"I had dinner with Avery, Rylee, Lydia, Nevaeh, Piper, Layla, Nora, Claire, Kinsley, Olivia, Eva, Piper, Hazel. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/01/10?\", \"Avery, Rylee, Lydia, Nevaeh, Piper, Layla, Nora, Claire, Kinsley, Olivia, Eva, Piper, Hazel\"], [\"what did I eat for dinner on 2014/01/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6208\", \"logical_representation\": [\"2014/01/10\", \"Piper, Nora\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Piper, Nora for 48 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora in the early afternoon on 2014/01/10?\", \"48 minutes\"], [\"who did I talk to on 2014/01/10?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2014/01/10?\", \"yes\"], [\"Did I talk to anyone on 2014/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6209\", \"logical_representation\": [\"2014/01/10\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I watched a documentary for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/10?\", \"53 minutes\"], [\"what did I watch on tv on 2014/01/10?\", \"a documentary\"], [\"Did I watch tv on 2014/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/21\": {\"hobbies\": {\"eid\": \"e6064\", \"logical_representation\": [\"2014/01/21\", \"I spent some time gardening on 2014/01/21.\", \"gardening\", \"Jackson\"], \"text_template_based\": \"I spent some time gardening on 2014/01/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2014/01/21\"], [\"On 2014/01/21, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6247\", \"logical_representation\": [\"2014/01/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/01/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6248\", \"logical_representation\": [\"2014/01/21\", \"dinner\", \"pasta\", \"Kinsley, Lydia\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6249\", \"logical_representation\": [\"2014/01/21\", \"Hazel, Lydia, Piper, Eva\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia, Piper, Eva for 48 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Piper, Eva during lunch hours on 2014/01/21?\", \"48 minutes\"], [\"who did I talk to on 2014/01/21?\", \"Hazel, Lydia, Piper, Eva\"], [\"Did I talk to Hazel, Lydia, Piper, Eva on 2014/01/21?\", \"yes\"], [\"Did I talk to anyone on 2014/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6250\", \"logical_representation\": [\"2014/01/21\", \"Piper\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2014/01/21?\", \"37 minutes\"], [\"who did I talk to on 2014/01/21?\", \"Piper\"], [\"Did I talk to Piper on 2014/01/21?\", \"yes\"], [\"Did I talk to anyone on 2014/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6251\", \"logical_representation\": [\"2014/01/21\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/01/21?\", \"34 minutes\"], [\"what did I read on 2014/01/21?\", \"a book\"], [\"Did I read on 2014/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6252\", \"logical_representation\": [\"2014/01/21\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/21?\", \"43 minutes\"], [\"what did I watch on tv on 2014/01/21?\", \"a documentary\"], [\"Did I watch tv on 2014/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/25\": {\"hobbies\": {\"eid\": \"e6067\", \"logical_representation\": [\"2014/01/25\", \"I really enjoyed working out on 2014/01/25\", \"working out\", \"Jackson, Avery\"], \"text_template_based\": \"I really enjoyed working out on 2014/01/25\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2014/01/25\"], [\"On 2014/01/25, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6266\", \"logical_representation\": [\"2014/01/25\", \"running\"], \"text_template_based\": \"I did running on 2014/01/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6267\", \"logical_representation\": [\"2014/01/25\", \"breakfast\", \"oatmeal\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had oatmeal for breakfast with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/01/25?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for breakfast on 2014/01/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6268\", \"logical_representation\": [\"2014/01/25\", \"Claire\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2014/01/25?\", \"48 minutes\"], [\"who did I talk to on 2014/01/25?\", \"Claire\"], [\"Did I talk to Claire on 2014/01/25?\", \"yes\"], [\"Did I talk to anyone on 2014/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6269\", \"logical_representation\": [\"2014/01/25\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I watched a documentary for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/25?\", \"22 minutes\"], [\"what did I watch on tv on 2014/01/25?\", \"a documentary\"], [\"Did I watch tv on 2014/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/01\": {\"dating\": {\"eid\": \"e6068\", \"logical_representation\": [\"2014/02/01\", \"Peyton\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Peyton on 2014/02/01 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/02/01\", \"Peyton\"], [\"where did I go for the date on 2014/02/01\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6288\", \"logical_representation\": [\"2014/02/01\", \"dinner\", \"sandwich\", \"Layla, Claire, Nora, Piper, Kinsley, Rylee, Avery, Nevaeh, Eva, Lydia, Hazel, Piper, Olivia\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/02/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6289\", \"logical_representation\": [\"2014/02/01\", \"Nevaeh, Olivia, Nora\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Nora for 18 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Nora in the early evening on 2014/02/01?\", \"18 minutes\"], [\"who did I talk to on 2014/02/01?\", \"Nevaeh, Olivia, Nora\"], [\"Did I talk to Nevaeh, Olivia, Nora on 2014/02/01?\", \"yes\"], [\"Did I talk to anyone on 2014/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6290\", \"logical_representation\": [\"2014/02/01\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/02/01?\", \"15 minutes\"], [\"what did I read on 2014/02/01?\", \"a book\"], [\"Did I read on 2014/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/29\": {\"grocery\": {\"eid\": \"e6069\", \"logical_representation\": [\"2014/01/29\", \"I bought some watermelons, strawberries, mango juice, guava juice, pineapple juice, sports drinks, body lotion, toothpaste from the grocery store. I saw Eva, Nevaeh, Lydia, Nora, Hazel, Piper, Olivia at the grocery store.\", \"watermelons, strawberries\", \"mango juice, guava juice, pineapple juice, sports drinks\", \"body lotion, toothpaste\", \"Eva, Nevaeh, Lydia, Nora, Hazel, Piper, Olivia\"], \"text_template_based\": \"I bought some watermelons, strawberries, mango juice, guava juice, pineapple juice, sports drinks, body lotion, toothpaste from the grocery store. I saw Eva, Nevaeh, Lydia, Nora, Hazel, Piper, Olivia at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/01/29?\", \"watermelons, strawberries, mango juice, guava juice, pineapple juice, sports drinks, and body lotion, toothpaste\"], [\"what fruits did I buy from the grocery store on 2014/01/29?\", \"watermelons, strawberries\"], [\"what drinks did I buy from the grocery store on 2014/01/29?\", \"mango juice, guava juice, pineapple juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2014/01/29?\", \"body lotion, toothpaste\"], [\"who did I see at the grocery store on 2014/01/29?\", \"Eva, Nevaeh, Lydia, Nora, Hazel, Piper, Olivia\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6279\", \"logical_representation\": [\"2014/01/29\", \"dinner\", \"steak\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6280\", \"logical_representation\": [\"2014/01/29\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/01/29?\", \"20 minutes\"], [\"what did I read on 2014/01/29?\", \"news\"], [\"Did I read on 2014/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6281\", \"logical_representation\": [\"2014/01/29\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I watched a documentary for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/29?\", \"7 minutes\"], [\"what did I watch on tv on 2014/01/29?\", \"a documentary\"], [\"Did I watch tv on 2014/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/11\": {\"dating\": {\"eid\": \"e6070\", \"logical_representation\": [\"2014/02/11\", \"Joshua\", \"a restaurant\"], \"text_template_based\": \"On 2014/02/11, I took Joshua on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/02/11\", \"Joshua\"], [\"where did I go for the date on 2014/02/11\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6337\", \"logical_representation\": [\"2014/02/11\", \"running\"], \"text_template_based\": \"I did running on 2014/02/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6338\", \"logical_representation\": [\"2014/02/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/02/11?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for breakfast on 2014/02/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6339\", \"logical_representation\": [\"2014/02/11\", \"lunch\", \"fish and chips\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Andrew, Carter, Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/02/11?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for lunch on 2014/02/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6340\", \"logical_representation\": [\"2014/02/11\", \"dinner\", \"steak\", \"Hazel, Olivia, Nora, Nevaeh\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/02/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6341\", \"logical_representation\": [\"2014/02/11\", \"Claire\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the morning on 2014/02/11?\", \"38 minutes\"], [\"who did I talk to on 2014/02/11?\", \"Claire\"], [\"Did I talk to Claire on 2014/02/11?\", \"yes\"], [\"Did I talk to anyone on 2014/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6342\", \"logical_representation\": [\"2014/02/11\", \"Hazel, Piper, Piper, Claire\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Hazel, Piper, Piper, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Piper, Claire in the late afternoon on 2014/02/11?\", \"12 minutes\"], [\"who did I talk to on 2014/02/11?\", \"Hazel, Piper, Piper, Claire\"], [\"Did I talk to Hazel, Piper, Piper, Claire on 2014/02/11?\", \"yes\"], [\"Did I talk to anyone on 2014/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6343\", \"logical_representation\": [\"2014/02/11\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I watched a tv series for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/11?\", \"17 minutes\"], [\"what did I watch on tv on 2014/02/11?\", \"a tv series\"], [\"Did I watch tv on 2014/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/09\": {\"grocery\": {\"eid\": \"e6071\", \"logical_representation\": [\"2014/02/09\", \"I went grocery shopping. I bought some raspberries, apricots, pineapples, mango juice, and toilet paper, mouthwash\", \"raspberries, apricots, pineapples\", \"mango juice\", \"toilet paper, mouthwash\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, apricots, pineapples, mango juice, and toilet paper, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/02/09?\", \"raspberries, apricots, pineapples, mango juice, and toilet paper, mouthwash\"], [\"what fruits did I buy from the grocery store on 2014/02/09?\", \"raspberries, apricots, pineapples\"], [\"what drinks did I buy from the grocery store on 2014/02/09?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2014/02/09?\", \"toilet paper, mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6322\", \"logical_representation\": [\"2014/02/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/02/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6323\", \"logical_representation\": [\"2014/02/09\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Hazel, Layla, Lydia, Nora, Kinsley\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/02/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6324\", \"logical_representation\": [\"2014/02/09\", \"lunch\", \"indian food\", \"Willow\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/02/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6325\", \"logical_representation\": [\"2014/02/09\", \"dinner\", \"steak\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Kayden, Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/09?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2014/02/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6326\", \"logical_representation\": [\"2014/02/09\", \"Lydia, Rylee\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Lydia, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee in the late afternoon on 2014/02/09?\", \"41 minutes\"], [\"who did I talk to on 2014/02/09?\", \"Lydia, Rylee\"], [\"Did I talk to Lydia, Rylee on 2014/02/09?\", \"yes\"], [\"Did I talk to anyone on 2014/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6327\", \"logical_representation\": [\"2014/02/09\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/02/09?\", \"30 minutes\"], [\"what did I read on 2014/02/09?\", \"social media\"], [\"Did I read on 2014/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6328\", \"logical_representation\": [\"2014/02/09\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/09?\", \"12 minutes\"], [\"what did I watch on tv on 2014/02/09?\", \"news\"], [\"Did I watch tv on 2014/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/12\": {\"dating\": {\"eid\": \"e6072\", \"logical_representation\": [\"2014/02/12\", \"Mateo\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Mateo on 2014/02/12 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/02/12\", \"Mateo\"], [\"where did I go for the date on 2014/02/12\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6074\", \"logical_representation\": [\"2014/02/12\", \"I went grocery shopping with Kayden, Emily, Carter. I bought some blueberries, blackberries, mandarins, chocolate milk, and paper towel, mouth wash, toilet paper\", \"blueberries, blackberries, mandarins\", \"chocolate milk\", \"paper towel, mouth wash, toilet paper\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I went grocery shopping with Kayden, Emily, Carter. I bought some blueberries, blackberries, mandarins, chocolate milk, and paper towel, mouth wash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/02/12?\", \"blueberries, blackberries, mandarins, chocolate milk, and paper towel, mouth wash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2014/02/12?\", \"blueberries, blackberries, mandarins\"], [\"what drinks did I buy from the grocery store on 2014/02/12?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2014/02/12?\", \"paper towel, mouth wash, toilet paper\"], [\"who was with me at the grocery store on 2014/02/12?\", \"Kayden, Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6344\", \"logical_representation\": [\"2014/02/12\", \"lunch\", \"chinese food\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/02/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6345\", \"logical_representation\": [\"2014/02/12\", \"Hazel, Layla, Piper\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I talked to Hazel, Layla, Piper for 13 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla, Piper in the morning on 2014/02/12?\", \"13 minutes\"], [\"who did I talk to on 2014/02/12?\", \"Hazel, Layla, Piper\"], [\"Did I talk to Hazel, Layla, Piper on 2014/02/12?\", \"yes\"], [\"Did I talk to anyone on 2014/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6346\", \"logical_representation\": [\"2014/02/12\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/02/12?\", \"17 minutes\"], [\"what did I read on 2014/02/12?\", \"a book\"], [\"Did I read on 2014/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6347\", \"logical_representation\": [\"2014/02/12\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I watched a movie for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/12?\", \"18 minutes\"], [\"what did I watch on tv on 2014/02/12?\", \"a movie\"], [\"Did I watch tv on 2014/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/16\": {\"dating\": {\"eid\": \"e6073\", \"logical_representation\": [\"2014/02/16\", \"Asher\", \"a coffee Shop\"], \"text_template_based\": \"On 2014/02/16, I took Asher on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/02/16\", \"Asher\"], [\"where did I go for the date on 2014/02/16\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6358\", \"logical_representation\": [\"2014/02/16\", \"breakfast\", \"pancakes\", \"Olivia, Eva, Nora, Hazel, Piper, Layla, Rylee, Piper, Nevaeh, Kinsley, Claire, Avery, Lydia\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/02/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6359\", \"logical_representation\": [\"2014/02/16\", \"lunch\", \"pasta\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/02/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6360\", \"logical_representation\": [\"2014/02/16\", \"Hazel, Rylee, Piper, Lydia\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Hazel, Rylee, Piper, Lydia for 24 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee, Piper, Lydia in the late afternoon on 2014/02/16?\", \"24 minutes\"], [\"who did I talk to on 2014/02/16?\", \"Hazel, Rylee, Piper, Lydia\"], [\"Did I talk to Hazel, Rylee, Piper, Lydia on 2014/02/16?\", \"yes\"], [\"Did I talk to anyone on 2014/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6361\", \"logical_representation\": [\"2014/02/16\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/02/16?\", \"30 minutes\"], [\"what did I read on 2014/02/16?\", \"news\"], [\"Did I read on 2014/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6362\", \"logical_representation\": [\"2014/02/16\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I watched a movie for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/16?\", \"37 minutes\"], [\"what did I watch on tv on 2014/02/16?\", \"a movie\"], [\"Did I watch tv on 2014/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/17\": {\"grocery\": {\"eid\": \"e6075\", \"logical_representation\": [\"2014/02/17\", \"I went grocery shopping. I bought some guava, pineapple juice, orange juice, guava juice, tea, and facial wash\", \"guava\", \"pineapple juice, orange juice, guava juice, tea\", \"facial wash\", \"Piper, Olivia\"], \"text_template_based\": \"I went grocery shopping. I bought some guava, pineapple juice, orange juice, guava juice, tea, and facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/02/17?\", \"guava, pineapple juice, orange juice, guava juice, tea, and facial wash\"], [\"what fruits did I buy from the grocery store on 2014/02/17?\", \"guava\"], [\"what drinks did I buy from the grocery store on 2014/02/17?\", \"pineapple juice, orange juice, guava juice, tea\"], [\"what toiletries did I buy from the grocery store on 2014/02/17?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6363\", \"logical_representation\": [\"2014/02/17\", \"lunch\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I had pasta for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/02/17?\", \"Kayden\"], [\"what did I eat for lunch on 2014/02/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6364\", \"logical_representation\": [\"2014/02/17\", \"dinner\", \"sushi\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had sushi for dinner with Carter, Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/17?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2014/02/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6365\", \"logical_representation\": [\"2014/02/17\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/02/17?\", \"15 minutes\"], [\"what did I read on 2014/02/17?\", \"a book\"], [\"Did I read on 2014/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6366\", \"logical_representation\": [\"2014/02/17\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I watched a tv series for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/17?\", \"24 minutes\"], [\"what did I watch on tv on 2014/02/17?\", \"a tv series\"], [\"Did I watch tv on 2014/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/23\": {\"dating\": {\"eid\": \"e6076\", \"logical_representation\": [\"2014/02/23\", \"Joshua\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Joshua on 2014/02/23 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/02/23\", \"Joshua\"], [\"where did I go for the date on 2014/02/23\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6389\", \"logical_representation\": [\"2014/02/23\", \"running\"], \"text_template_based\": \"I did running on 2014/02/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6390\", \"logical_representation\": [\"2014/02/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/02/23?\", \"Benjamin, Jackson\"], [\"what did I eat for breakfast on 2014/02/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6391\", \"logical_representation\": [\"2014/02/23\", \"dinner\", \"steak\", \"Eva, Lydia, Olivia, Piper, Nora, Kinsley, Avery, Rylee, Layla, Claire, Piper, Nevaeh\"], \"text_template_based\": \"I had steak for dinner with Eva, Lydia, Olivia, Piper, Nora, Kinsley, Avery, Rylee, Layla, Claire, Piper, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/23?\", \"Eva, Lydia, Olivia, Piper, Nora, Kinsley, Avery, Rylee, Layla, Claire, Piper, Nevaeh\"], [\"what did I eat for dinner on 2014/02/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6392\", \"logical_representation\": [\"2014/02/23\", \"Olivia, Lydia, Nevaeh\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I talked to Olivia, Lydia, Nevaeh for 33 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia, Nevaeh late in the evening on 2014/02/23?\", \"33 minutes\"], [\"who did I talk to on 2014/02/23?\", \"Olivia, Lydia, Nevaeh\"], [\"Did I talk to Olivia, Lydia, Nevaeh on 2014/02/23?\", \"yes\"], [\"Did I talk to anyone on 2014/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/19\": {\"hobbies\": {\"eid\": \"e6077\", \"logical_representation\": [\"2014/02/19\", \"I spent time working out on 2014/02/19 with Carter, Emily.\", \"working out\", \"Carter, Emily\"], \"text_template_based\": \"I spent time working out on 2014/02/19 with Carter, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Carter, Emily?\", \"2014/02/19\"], [\"On 2014/02/19, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2014/02/19?\", \"Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6372\", \"logical_representation\": [\"2014/02/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/02/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6373\", \"logical_representation\": [\"2014/02/19\", \"breakfast\", \"oatmeal\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/02/19?\", \"Andrew\"], [\"what did I eat for breakfast on 2014/02/19\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6374\", \"logical_representation\": [\"2014/02/19\", \"lunch\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/02/19?\", \"Emily\"], [\"what did I eat for lunch on 2014/02/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6375\", \"logical_representation\": [\"2014/02/19\", \"dinner\", \"sushi\", \"Avery, Nevaeh, Rylee\"], \"text_template_based\": \"I had sushi for dinner with Avery, Nevaeh, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/19?\", \"Avery, Nevaeh, Rylee\"], [\"what did I eat for dinner on 2014/02/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6376\", \"logical_representation\": [\"2014/02/19\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/02/19?\", \"47 minutes\"], [\"what did I read on 2014/02/19?\", \"a book\"], [\"Did I read on 2014/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/04\": {\"dating\": {\"eid\": \"e6078\", \"logical_representation\": [\"2014/03/04\", \"Bella\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Bella on 2014/03/04 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/03/04\", \"Bella\"], [\"where did I go for the date on 2014/03/04\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6426\", \"logical_representation\": [\"2014/03/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/03/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6427\", \"logical_representation\": [\"2014/03/04\", \"Claire, Olivia\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia for 39 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia in the early afternoon on 2014/03/04?\", \"39 minutes\"], [\"who did I talk to on 2014/03/04?\", \"Claire, Olivia\"], [\"Did I talk to Claire, Olivia on 2014/03/04?\", \"yes\"], [\"Did I talk to anyone on 2014/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/26\": {\"hobbies\": {\"eid\": \"e6079\", \"logical_representation\": [\"2014/02/26\", \"I spent some time yoga on 2014/02/26.\", \"yoga\", \"Piper, Nora\"], \"text_template_based\": \"I spent some time yoga on 2014/02/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2014/02/26\"], [\"On 2014/02/26, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6080\", \"logical_representation\": [\"2014/02/26\", \"I bought some bananas, guava juice, pineapple juice, toothbrush from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\", \"bananas\", \"guava juice, pineapple juice\", \"toothbrush\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I bought some bananas, guava juice, pineapple juice, toothbrush from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/02/26?\", \"bananas, guava juice, pineapple juice, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2014/02/26?\", \"bananas\"], [\"what drinks did I buy from the grocery store on 2014/02/26?\", \"guava juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2014/02/26?\", \"toothbrush\"], [\"who did I see at the grocery store on 2014/02/26?\", \"Carter, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6403\", \"logical_representation\": [\"2014/02/26\", \"lunch\", \"steak\", \"Avery\"], \"text_template_based\": \"I had lunch with Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/02/26?\", \"Avery\"], [\"what did I eat for lunch on 2014/02/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6404\", \"logical_representation\": [\"2014/02/26\", \"dinner\", \"sandwich\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/02/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6405\", \"logical_representation\": [\"2014/02/26\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/02/26?\", \"52 minutes\"], [\"what did I read on 2014/02/26?\", \"a book\"], [\"Did I read on 2014/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6406\", \"logical_representation\": [\"2014/02/26\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I watched a movie for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/26?\", \"39 minutes\"], [\"what did I watch on tv on 2014/02/26?\", \"a movie\"], [\"Did I watch tv on 2014/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/05\": {\"dating\": {\"eid\": \"e6081\", \"logical_representation\": [\"2014/03/05\", \"Naomi\", \"a coffee Shop\"], \"text_template_based\": \"On 2014/03/05, I took Naomi on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/03/05\", \"Naomi\"], [\"where did I go for the date on 2014/03/05\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6428\", \"logical_representation\": [\"2014/03/05\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/03/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6429\", \"logical_representation\": [\"2014/03/05\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/05?\", \"50 minutes\"], [\"what did I watch on tv on 2014/03/05?\", \"a tv series\"], [\"Did I watch tv on 2014/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/13\": {\"hobbies\": {\"eid\": \"e6082\", \"logical_representation\": [\"2014/03/13\", \"I really enjoyed meditation on 2014/03/13\", \"meditation\", \"Kayden\"], \"text_template_based\": \"I really enjoyed meditation on 2014/03/13\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2014/03/13\"], [\"On 2014/03/13, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6456\", \"logical_representation\": [\"2014/03/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/03/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6457\", \"logical_representation\": [\"2014/03/13\", \"breakfast\", \"toast and cheese\", \"Nevaeh, Olivia, Avery, Claire, Piper, Nora, Kinsley, Piper, Rylee, Eva, Lydia, Hazel, Layla\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6458\", \"logical_representation\": [\"2014/03/13\", \"dinner\", \"steak\", \"Layla, Kinsley, Nora, Claire, Piper, Lydia, Hazel, Nevaeh, Rylee, Piper, Olivia\"], \"text_template_based\": \"I had steak for dinner with Layla, Kinsley, Nora, Claire, Piper, Lydia, Hazel, Nevaeh, Rylee, Piper, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/03/13?\", \"Layla, Kinsley, Nora, Claire, Piper, Lydia, Hazel, Nevaeh, Rylee, Piper, Olivia\"], [\"what did I eat for dinner on 2014/03/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6459\", \"logical_representation\": [\"2014/03/13\", \"Avery, Olivia\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Avery, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia in the early evening on 2014/03/13?\", \"38 minutes\"], [\"who did I talk to on 2014/03/13?\", \"Avery, Olivia\"], [\"Did I talk to Avery, Olivia on 2014/03/13?\", \"yes\"], [\"Did I talk to anyone on 2014/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6460\", \"logical_representation\": [\"2014/03/13\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/03/13?\", \"40 minutes\"], [\"what did I read on 2014/03/13?\", \"social media\"], [\"Did I read on 2014/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/12\": {\"grocery\": {\"eid\": \"e6083\", \"logical_representation\": [\"2014/03/12\", \"I went grocery shopping. I bought some oranges, apricots, peaches, blackberries, coffee, tea, pineapple juice, milk, and facial wash, mouthwash, shaving cream, mouth wash\", \"oranges, apricots, peaches, blackberries\", \"coffee, tea, pineapple juice, milk\", \"facial wash, mouthwash, shaving cream, mouth wash\", \"Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, apricots, peaches, blackberries, coffee, tea, pineapple juice, milk, and facial wash, mouthwash, shaving cream, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/03/12?\", \"oranges, apricots, peaches, blackberries, coffee, tea, pineapple juice, milk, and facial wash, mouthwash, shaving cream, mouth wash\"], [\"what fruits did I buy from the grocery store on 2014/03/12?\", \"oranges, apricots, peaches, blackberries\"], [\"what drinks did I buy from the grocery store on 2014/03/12?\", \"coffee, tea, pineapple juice, milk\"], [\"what toiletries did I buy from the grocery store on 2014/03/12?\", \"facial wash, mouthwash, shaving cream, mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6453\", \"logical_representation\": [\"2014/03/12\", \"breakfast\", \"pancakes\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6454\", \"logical_representation\": [\"2014/03/12\", \"lunch\", \"indian food\", \"Kinsley, Piper, Nora, Layla, Piper, Lydia, Rylee\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/03/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6455\", \"logical_representation\": [\"2014/03/12\", \"a movie\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/12?\", \"16 minutes\"], [\"what did I watch on tv on 2014/03/12?\", \"a movie\"], [\"Did I watch tv on 2014/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/16\": {\"grocery\": {\"eid\": \"e6084\", \"logical_representation\": [\"2014/03/16\", \"I went grocery shopping. I bought some mandarins, blackberries, oranges, raspberries, soda, milk, chocolate milk, sports drinks, and toothpaste, conditioner, mouth wash, toothbrush\", \"mandarins, blackberries, oranges, raspberries\", \"soda, milk, chocolate milk, sports drinks\", \"toothpaste, conditioner, mouth wash, toothbrush\", \"Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, blackberries, oranges, raspberries, soda, milk, chocolate milk, sports drinks, and toothpaste, conditioner, mouth wash, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/03/16?\", \"mandarins, blackberries, oranges, raspberries, soda, milk, chocolate milk, sports drinks, and toothpaste, conditioner, mouth wash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2014/03/16?\", \"mandarins, blackberries, oranges, raspberries\"], [\"what drinks did I buy from the grocery store on 2014/03/16?\", \"soda, milk, chocolate milk, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2014/03/16?\", \"toothpaste, conditioner, mouth wash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6468\", \"logical_representation\": [\"2014/03/16\", \"breakfast\", \"oatmeal\", \"Avery, Lydia, Kinsley\"], \"text_template_based\": \"I had oatmeal for breakfast with Avery, Lydia, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/03/16?\", \"Avery, Lydia, Kinsley\"], [\"what did I eat for breakfast on 2014/03/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6469\", \"logical_representation\": [\"2014/03/16\", \"lunch\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had a burger for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/03/16?\", \"Andrew\"], [\"what did I eat for lunch on 2014/03/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6470\", \"logical_representation\": [\"2014/03/16\", \"dinner\", \"fish and chips\", \"Avery, Lydia, Piper\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/03/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/03/24\": {\"dating\": {\"eid\": \"e6085\", \"logical_representation\": [\"2014/03/24\", \"Alon\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Alon on 2014/03/24 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/03/24\", \"Alon\"], [\"where did I go for the date on 2014/03/24\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6497\", \"logical_representation\": [\"2014/03/24\", \"lunch\", \"pasta\", \"Piper, Piper, Kinsley, Rylee, Nora, Eva, Hazel, Lydia, Avery, Olivia\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/03/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6498\", \"logical_representation\": [\"2014/03/24\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/24?\", \"9 minutes\"], [\"what did I watch on tv on 2014/03/24?\", \"news\"], [\"Did I watch tv on 2014/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/21\": {\"hobbies\": {\"eid\": \"e6086\", \"logical_representation\": [\"2014/03/21\", \"I spent time yoga on 2014/03/21 with Emily, Andrew, Kayden.\", \"yoga\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I spent time yoga on 2014/03/21 with Emily, Andrew, Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Emily, Andrew, Kayden?\", \"2014/03/21\"], [\"On 2014/03/21, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2014/03/21?\", \"Emily, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6486\", \"logical_representation\": [\"2014/03/21\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6487\", \"logical_representation\": [\"2014/03/21\", \"Avery\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Avery for 39 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early afternoon on 2014/03/21?\", \"39 minutes\"], [\"who did I talk to on 2014/03/21?\", \"Avery\"], [\"Did I talk to Avery on 2014/03/21?\", \"yes\"], [\"Did I talk to anyone on 2014/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6488\", \"logical_representation\": [\"2014/03/21\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I watched a tv series for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/21?\", \"18 minutes\"], [\"what did I watch on tv on 2014/03/21?\", \"a tv series\"], [\"Did I watch tv on 2014/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/20\": {\"grocery\": {\"eid\": \"e6087\", \"logical_representation\": [\"2014/03/20\", \"I bought some cherres, strawberries, coffee, body lotion, mouth wash, toothpaste, shampoo online.\", \"cherres, strawberries\", \"coffee\", \"body lotion, mouth wash, toothpaste, shampoo\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I bought some cherres, strawberries, coffee, body lotion, mouth wash, toothpaste, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/03/20?\", \"cherres, strawberries, coffee, and body lotion, mouth wash, toothpaste, shampoo\"], [\"what fruits did I buy online on 2014/03/20?\", \"cherres, strawberries\"], [\"what drinks did I buy online on 2014/03/20?\", \"coffee\"], [\"what toiletries did I buy online on 2014/03/20?\", \"body lotion, mouth wash, toothpaste, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6483\", \"logical_representation\": [\"2014/03/20\", \"biking\"], \"text_template_based\": \"I did biking on 2014/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6484\", \"logical_representation\": [\"2014/03/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/03/20?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2014/03/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6485\", \"logical_representation\": [\"2014/03/20\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/20?\", \"7 minutes\"], [\"what did I watch on tv on 2014/03/20?\", \"news\"], [\"Did I watch tv on 2014/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/23\": {\"grocery\": {\"eid\": \"e6088\", \"logical_representation\": [\"2014/03/23\", \"I went grocery shopping. I bought some mangos, soda, guava juice, sports drinks, and shaving cream, toothpaste, mouthwash, facial wash\", \"mangos\", \"soda, guava juice, sports drinks\", \"shaving cream, toothpaste, mouthwash, facial wash\", \"Avery, Eva, Olivia, Piper, Piper, Lydia, Claire\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, soda, guava juice, sports drinks, and shaving cream, toothpaste, mouthwash, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/03/23?\", \"mangos, soda, guava juice, sports drinks, and shaving cream, toothpaste, mouthwash, facial wash\"], [\"what fruits did I buy from the grocery store on 2014/03/23?\", \"mangos\"], [\"what drinks did I buy from the grocery store on 2014/03/23?\", \"soda, guava juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2014/03/23?\", \"shaving cream, toothpaste, mouthwash, facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6493\", \"logical_representation\": [\"2014/03/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/03/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6494\", \"logical_representation\": [\"2014/03/23\", \"lunch\", \"a burger\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Kayden. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/03/23?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2014/03/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6495\", \"logical_representation\": [\"2014/03/23\", \"dinner\", \"fish and chips\", \"Lydia, Layla, Olivia, Piper, Hazel, Eva, Claire, Nevaeh, Kinsley, Nora, Rylee, Piper, Avery\"], \"text_template_based\": \"I had fish and chips for dinner with Lydia, Layla, Olivia, Piper, Hazel, Eva, Claire, Nevaeh, Kinsley, Nora, Rylee, Piper, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/03/23?\", \"Lydia, Layla, Olivia, Piper, Hazel, Eva, Claire, Nevaeh, Kinsley, Nora, Rylee, Piper, Avery\"], [\"what did I eat for dinner on 2014/03/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6496\", \"logical_representation\": [\"2014/03/23\", \"Layla\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2014/03/23?\", \"49 minutes\"], [\"who did I talk to on 2014/03/23?\", \"Layla\"], [\"Did I talk to Layla on 2014/03/23?\", \"yes\"], [\"Did I talk to anyone on 2014/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/29\": {\"dating\": {\"eid\": \"e6089\", \"logical_representation\": [\"2014/03/29\", \"Jace\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Jace on 2014/03/29 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/03/29\", \"Jace\"], [\"where did I go for the date on 2014/03/29\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6513\", \"logical_representation\": [\"2014/03/29\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/03/29?\", \"Kayden, Carter\"], [\"what did I eat for breakfast on 2014/03/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6514\", \"logical_representation\": [\"2014/03/29\", \"lunch\", \"a burger\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Andrew, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/03/29?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2014/03/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6515\", \"logical_representation\": [\"2014/03/29\", \"dinner\", \"sandwich\", \"Rylee, Layla, Olivia, Nevaeh, Piper, Eva\"], \"text_template_based\": \"I had sandwich for dinner with Rylee, Layla, Olivia, Nevaeh, Piper, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/03/29?\", \"Rylee, Layla, Olivia, Nevaeh, Piper, Eva\"], [\"what did I eat for dinner on 2014/03/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6516\", \"logical_representation\": [\"2014/03/29\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/03/29?\", \"31 minutes\"], [\"what did I read on 2014/03/29?\", \"news\"], [\"Did I read on 2014/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6517\", \"logical_representation\": [\"2014/03/29\", \"news\", \"19 minutes\"], \"text_template_based\": \"I watched news for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/29?\", \"19 minutes\"], [\"what did I watch on tv on 2014/03/29?\", \"news\"], [\"Did I watch tv on 2014/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/04\": {\"hobbies\": {\"eid\": \"e6090\", \"logical_representation\": [\"2014/04/04\", \"I really enjoyed gardening on 2014/04/04\", \"gardening\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I really enjoyed gardening on 2014/04/04\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2014/04/04\"], [\"On 2014/04/04, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6092\", \"logical_representation\": [\"2014/04/04\", \"I bought some oranges, blueberries, strawberries, cherres, chocolate milk, milk, apple juice, mouth wash from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\", \"oranges, blueberries, strawberries, cherres\", \"chocolate milk, milk, apple juice\", \"mouth wash\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I bought some oranges, blueberries, strawberries, cherres, chocolate milk, milk, apple juice, mouth wash from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/04/04?\", \"oranges, blueberries, strawberries, cherres, chocolate milk, milk, apple juice, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2014/04/04?\", \"oranges, blueberries, strawberries, cherres\"], [\"what drinks did I buy from the grocery store on 2014/04/04?\", \"chocolate milk, milk, apple juice\"], [\"what toiletries did I buy from the grocery store on 2014/04/04?\", \"mouth wash\"], [\"who did I see at the grocery store on 2014/04/04?\", \"Kayden, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6539\", \"logical_representation\": [\"2014/04/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/04/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6540\", \"logical_representation\": [\"2014/04/04\", \"breakfast\", \"cereals\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/04/04?\", \"Andrew\"], [\"what did I eat for breakfast on 2014/04/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6541\", \"logical_representation\": [\"2014/04/04\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6542\", \"logical_representation\": [\"2014/04/04\", \"dinner\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/04/04?\", \"Emily\"], [\"what did I eat for dinner on 2014/04/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6543\", \"logical_representation\": [\"2014/04/04\", \"Kinsley, Rylee\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee for 14 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee during lunch hours on 2014/04/04?\", \"14 minutes\"], [\"who did I talk to on 2014/04/04?\", \"Kinsley, Rylee\"], [\"Did I talk to Kinsley, Rylee on 2014/04/04?\", \"yes\"], [\"Did I talk to anyone on 2014/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/08\": {\"hobbies\": {\"eid\": \"e6091\", \"logical_representation\": [\"2014/04/08\", \"I really enjoyed meditation on 2014/04/08\", \"meditation\", \"Nora, Piper, Lydia\"], \"text_template_based\": \"I really enjoyed meditation on 2014/04/08\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2014/04/08\"], [\"On 2014/04/08, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6556\", \"logical_representation\": [\"2014/04/08\", \"lunch\", \"a burger\", \"Kayden, Andrew\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6557\", \"logical_representation\": [\"2014/04/08\", \"dinner\", \"fish and chips\", \"Benjamin\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6558\", \"logical_representation\": [\"2014/04/08\", \"Piper, Nevaeh\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh for 9 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh in the morning on 2014/04/08?\", \"9 minutes\"], [\"who did I talk to on 2014/04/08?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2014/04/08?\", \"yes\"], [\"Did I talk to anyone on 2014/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6559\", \"logical_representation\": [\"2014/04/08\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/04/08?\", \"25 minutes\"], [\"what did I read on 2014/04/08?\", \"news\"], [\"Did I read on 2014/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/13\": {\"hobbies\": {\"eid\": \"e6093\", \"logical_representation\": [\"2014/04/13\", \"I spent time gardening on 2014/04/13 with Kayden, Andrew, Carter.\", \"gardening\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I spent time gardening on 2014/04/13 with Kayden, Andrew, Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Kayden, Andrew, Carter?\", \"2014/04/13\"], [\"On 2014/04/13, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2014/04/13?\", \"Kayden, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6577\", \"logical_representation\": [\"2014/04/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/04/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6578\", \"logical_representation\": [\"2014/04/13\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/04/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6579\", \"logical_representation\": [\"2014/04/13\", \"dinner\", \"pasta\", \"Nora, Avery, Rylee, Lydia, Nevaeh\"], \"text_template_based\": \"I had dinner with Nora, Avery, Rylee, Lydia, Nevaeh. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/04/13?\", \"Nora, Avery, Rylee, Lydia, Nevaeh\"], [\"what did I eat for dinner on 2014/04/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6580\", \"logical_representation\": [\"2014/04/13\", \"Rylee\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2014/04/13?\", \"15 minutes\"], [\"who did I talk to on 2014/04/13?\", \"Rylee\"], [\"Did I talk to Rylee on 2014/04/13?\", \"yes\"], [\"Did I talk to anyone on 2014/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6581\", \"logical_representation\": [\"2014/04/13\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/04/13?\", \"5 minutes\"], [\"what did I read on 2014/04/13?\", \"news\"], [\"Did I read on 2014/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6582\", \"logical_representation\": [\"2014/04/13\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I watched a documentary for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/13?\", \"22 minutes\"], [\"what did I watch on tv on 2014/04/13?\", \"a documentary\"], [\"Did I watch tv on 2014/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/10\": {\"grocery\": {\"eid\": \"e6094\", \"logical_representation\": [\"2014/04/10\", \"I went grocery shopping with Emily. I bought some bananas, coffee, chocolate milk, tea, apple juice, and toothbrush, paper towel\", \"bananas\", \"coffee, chocolate milk, tea, apple juice\", \"toothbrush, paper towel\", \"Emily\"], \"text_template_based\": \"I went grocery shopping with Emily. I bought some bananas, coffee, chocolate milk, tea, apple juice, and toothbrush, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/04/10?\", \"bananas, coffee, chocolate milk, tea, apple juice, and toothbrush, paper towel\"], [\"what fruits did I buy from the grocery store on 2014/04/10?\", \"bananas\"], [\"what drinks did I buy from the grocery store on 2014/04/10?\", \"coffee, chocolate milk, tea, apple juice\"], [\"what toiletries did I buy from the grocery store on 2014/04/10?\", \"toothbrush, paper towel\"], [\"who was with me at the grocery store on 2014/04/10?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6563\", \"logical_representation\": [\"2014/04/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/04/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6564\", \"logical_representation\": [\"2014/04/10\", \"lunch\", \"sushi\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/04/10?\", \"Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2014/04/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6565\", \"logical_representation\": [\"2014/04/10\", \"dinner\", \"indian food\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6566\", \"logical_representation\": [\"2014/04/10\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/04/10?\", \"49 minutes\"], [\"what did I read on 2014/04/10?\", \"a book\"], [\"Did I read on 2014/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6567\", \"logical_representation\": [\"2014/04/10\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I watched a documentary for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/10?\", \"32 minutes\"], [\"what did I watch on tv on 2014/04/10?\", \"a documentary\"], [\"Did I watch tv on 2014/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/22\": {\"dating\": {\"eid\": \"e6095\", \"logical_representation\": [\"2014/04/22\", \"Sophie\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Sophie on 2014/04/22 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/04/22\", \"Sophie\"], [\"where did I go for the date on 2014/04/22\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6616\", \"logical_representation\": [\"2014/04/22\", \"lunch\", \"tacos\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6617\", \"logical_representation\": [\"2014/04/22\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6618\", \"logical_representation\": [\"2014/04/22\", \"Olivia, Piper, Piper\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Piper for 11 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Piper in the early evening on 2014/04/22?\", \"11 minutes\"], [\"who did I talk to on 2014/04/22?\", \"Olivia, Piper, Piper\"], [\"Did I talk to Olivia, Piper, Piper on 2014/04/22?\", \"yes\"], [\"Did I talk to anyone on 2014/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6619\", \"logical_representation\": [\"2014/04/22\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/04/22?\", \"26 minutes\"], [\"what did I read on 2014/04/22?\", \"news\"], [\"Did I read on 2014/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/16\": {\"grocery\": {\"eid\": \"e6096\", \"logical_representation\": [\"2014/04/16\", \"I bought some apricots, guava, peaches, watermelons, apple juice, toothpaste, paper towel, shaving cream, toilet paper from the grocery store. I saw Willow at the grocery store.\", \"apricots, guava, peaches, watermelons\", \"apple juice\", \"toothpaste, paper towel, shaving cream, toilet paper\", \"Willow\"], \"text_template_based\": \"I bought some apricots, guava, peaches, watermelons, apple juice, toothpaste, paper towel, shaving cream, toilet paper from the grocery store. I saw Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/04/16?\", \"apricots, guava, peaches, watermelons, apple juice, and toothpaste, paper towel, shaving cream, toilet paper\"], [\"what fruits did I buy from the grocery store on 2014/04/16?\", \"apricots, guava, peaches, watermelons\"], [\"what drinks did I buy from the grocery store on 2014/04/16?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2014/04/16?\", \"toothpaste, paper towel, shaving cream, toilet paper\"], [\"who did I see at the grocery store on 2014/04/16?\", \"Willow\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6591\", \"logical_representation\": [\"2014/04/16\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/04/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6592\", \"logical_representation\": [\"2014/04/16\", \"dinner\", \"sushi\", \"Avery, Layla, Olivia, Kinsley, Nevaeh, Claire, Eva, Piper\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6593\", \"logical_representation\": [\"2014/04/16\", \"Piper\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2014/04/16?\", \"16 minutes\"], [\"who did I talk to on 2014/04/16?\", \"Piper\"], [\"Did I talk to Piper on 2014/04/16?\", \"yes\"], [\"Did I talk to anyone on 2014/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6594\", \"logical_representation\": [\"2014/04/16\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/04/16?\", \"54 minutes\"], [\"what did I read on 2014/04/16?\", \"social media\"], [\"Did I read on 2014/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/26\": {\"bake\": {\"eid\": \"e6097\", \"logical_representation\": [\"2014/04/26\", \"I was baking carrot cake on 2014/04/26 with Piper, Nora, Rylee, Piper at my place\", \"bake\", \"carrot cake\", \"Piper, Nora, Rylee, Piper\", \"my place\"], \"text_template_based\": \"I was baking carrot cake on 2014/04/26 with Piper, Nora, Rylee, Piper at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  carrot cake with Piper, Nora, Rylee, Piper?\", \"2014/04/26\"], [\"what did I  on 2014/04/26?\", \"carrot cake\"], [\"who was I with when I  carrot cake on 2014/04/26?\", \"Piper, Nora, Rylee, Piper\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6635\", \"logical_representation\": [\"2014/04/26\", \"dinner\", \"pasta\", \"Willow, Jackson\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6636\", \"logical_representation\": [\"2014/04/26\", \"Avery, Eva, Piper, Nevaeh\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Avery, Eva, Piper, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Piper, Nevaeh in the late afternoon on 2014/04/26?\", \"33 minutes\"], [\"who did I talk to on 2014/04/26?\", \"Avery, Eva, Piper, Nevaeh\"], [\"Did I talk to Avery, Eva, Piper, Nevaeh on 2014/04/26?\", \"yes\"], [\"Did I talk to anyone on 2014/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6637\", \"logical_representation\": [\"2014/04/26\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/04/26?\", \"5 minutes\"], [\"what did I read on 2014/04/26?\", \"social media\"], [\"Did I read on 2014/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6638\", \"logical_representation\": [\"2014/04/26\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/26?\", \"5 minutes\"], [\"what did I watch on tv on 2014/04/26?\", \"a movie\"], [\"Did I watch tv on 2014/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/27\": {\"grocery\": {\"eid\": \"e6098\", \"logical_representation\": [\"2014/04/27\", \"I bought some bananas, guava, sports drinks, chocolate milk, pineapple juice, mineral water, shampoo, facial wash, mouthwash, toilet paper from the grocery store. I saw Emily, Andrew, Kayden at the grocery store.\", \"bananas, guava\", \"sports drinks, chocolate milk, pineapple juice, mineral water\", \"shampoo, facial wash, mouthwash, toilet paper\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I bought some bananas, guava, sports drinks, chocolate milk, pineapple juice, mineral water, shampoo, facial wash, mouthwash, toilet paper from the grocery store. I saw Emily, Andrew, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/04/27?\", \"bananas, guava, sports drinks, chocolate milk, pineapple juice, mineral water, and shampoo, facial wash, mouthwash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2014/04/27?\", \"bananas, guava\"], [\"what drinks did I buy from the grocery store on 2014/04/27?\", \"sports drinks, chocolate milk, pineapple juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2014/04/27?\", \"shampoo, facial wash, mouthwash, toilet paper\"], [\"who did I see at the grocery store on 2014/04/27?\", \"Emily, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6639\", \"logical_representation\": [\"2014/04/27\", \"dinner\", \"tacos\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Emily, Andrew, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/04/27?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2014/04/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6640\", \"logical_representation\": [\"2014/04/27\", \"Hazel, Avery, Olivia\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Hazel, Avery, Olivia for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Olivia during lunch hours on 2014/04/27?\", \"31 minutes\"], [\"who did I talk to on 2014/04/27?\", \"Hazel, Avery, Olivia\"], [\"Did I talk to Hazel, Avery, Olivia on 2014/04/27?\", \"yes\"], [\"Did I talk to anyone on 2014/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6641\", \"logical_representation\": [\"2014/04/27\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/04/27?\", \"37 minutes\"], [\"what did I read on 2014/04/27?\", \"a book\"], [\"Did I read on 2014/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6642\", \"logical_representation\": [\"2014/04/27\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/27?\", \"14 minutes\"], [\"what did I watch on tv on 2014/04/27?\", \"a movie\"], [\"Did I watch tv on 2014/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/08\": {\"dating\": {\"eid\": \"e6099\", \"logical_representation\": [\"2014/05/08\", \"Samuel\", \"a park\"], \"text_template_based\": \"I went on a date with Samuel on 2014/05/08 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/05/08\", \"Samuel\"], [\"where did I go for the date on 2014/05/08\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6101\", \"logical_representation\": [\"2014/05/08\", \"I went grocery shopping. I bought some watermelons, mandarins, guava, soda, orange juice, mango juice, and paper towel, toilet paper, shampoo, shaving cream\", \"watermelons, mandarins, guava\", \"soda, orange juice, mango juice\", \"paper towel, toilet paper, shampoo, shaving cream\", \"Lydia, Nevaeh, Claire, Rylee, Hazel\"], \"text_template_based\": \"I went grocery shopping. I bought some watermelons, mandarins, guava, soda, orange juice, mango juice, and paper towel, toilet paper, shampoo, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/05/08?\", \"watermelons, mandarins, guava, soda, orange juice, mango juice, and paper towel, toilet paper, shampoo, shaving cream\"], [\"what fruits did I buy from the grocery store on 2014/05/08?\", \"watermelons, mandarins, guava\"], [\"what drinks did I buy from the grocery store on 2014/05/08?\", \"soda, orange juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2014/05/08?\", \"paper towel, toilet paper, shampoo, shaving cream\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6683\", \"logical_representation\": [\"2014/05/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/05/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6684\", \"logical_representation\": [\"2014/05/08\", \"lunch\", \"steak\", \"Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6685\", \"logical_representation\": [\"2014/05/08\", \"dinner\", \"chinese food\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Carter, Kayden, Andrew, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/05/08?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for dinner on 2014/05/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6686\", \"logical_representation\": [\"2014/05/08\", \"Layla, Olivia, Nevaeh\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Layla, Olivia, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia, Nevaeh in the early evening on 2014/05/08?\", \"23 minutes\"], [\"who did I talk to on 2014/05/08?\", \"Layla, Olivia, Nevaeh\"], [\"Did I talk to Layla, Olivia, Nevaeh on 2014/05/08?\", \"yes\"], [\"Did I talk to anyone on 2014/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/10\": {\"hobbies\": {\"eid\": \"e6100\", \"logical_representation\": [\"2014/05/10\", \"I spent time learning a language on 2014/05/10 with Benjamin.\", \"learning a language\", \"Benjamin\"], \"text_template_based\": \"I spent time learning a language on 2014/05/10 with Benjamin.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Benjamin?\", \"2014/05/10\"], [\"On 2014/05/10, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2014/05/10?\", \"Benjamin\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6102\", \"logical_representation\": [\"2014/05/10\", \"I went grocery shopping. I bought some oranges, mineral water, orange juice, soda, and shaving cream, toothpaste, paper towel, conditioner\", \"oranges\", \"mineral water, orange juice, soda\", \"shaving cream, toothpaste, paper towel, conditioner\", \"Layla, Olivia, Eva, Rylee, Piper, Nora, Piper, Hazel, Nevaeh, Claire, Lydia\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, mineral water, orange juice, soda, and shaving cream, toothpaste, paper towel, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/05/10?\", \"oranges, mineral water, orange juice, soda, and shaving cream, toothpaste, paper towel, conditioner\"], [\"what fruits did I buy from the grocery store on 2014/05/10?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2014/05/10?\", \"mineral water, orange juice, soda\"], [\"what toiletries did I buy from the grocery store on 2014/05/10?\", \"shaving cream, toothpaste, paper towel, conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6692\", \"logical_representation\": [\"2014/05/10\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/05/10?\", \"Andrew\"], [\"what did I eat for breakfast on 2014/05/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6693\", \"logical_representation\": [\"2014/05/10\", \"Nora, Lydia\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Nora, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia in the early evening on 2014/05/10?\", \"6 minutes\"], [\"who did I talk to on 2014/05/10?\", \"Nora, Lydia\"], [\"Did I talk to Nora, Lydia on 2014/05/10?\", \"yes\"], [\"Did I talk to anyone on 2014/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6694\", \"logical_representation\": [\"2014/05/10\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/05/10?\", \"43 minutes\"], [\"what did I read on 2014/05/10?\", \"news\"], [\"Did I read on 2014/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6695\", \"logical_representation\": [\"2014/05/10\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I watched a tv series for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/10?\", \"22 minutes\"], [\"what did I watch on tv on 2014/05/10?\", \"a tv series\"], [\"Did I watch tv on 2014/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/15\": {\"dating\": {\"eid\": \"e6103\", \"logical_representation\": [\"2014/05/15\", \"Jane\", \"a park\"], \"text_template_based\": \"On 2014/05/15, I took Jane on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/05/15\", \"Jane\"], [\"where did I go for the date on 2014/05/15\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e6104\", \"logical_representation\": [\"2014/05/15\", \"I spent some time meditation on 2014/05/15.\", \"meditation\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I spent some time meditation on 2014/05/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2014/05/15\"], [\"On 2014/05/15, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6716\", \"logical_representation\": [\"2014/05/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/05/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6717\", \"logical_representation\": [\"2014/05/15\", \"dinner\", \"sandwich\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Emily, Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/05/15?\", \"Carter, Emily, Kayden\"], [\"what did I eat for dinner on 2014/05/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6718\", \"logical_representation\": [\"2014/05/15\", \"news\", \"5 minutes\"], \"text_template_based\": \"I watched news for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/15?\", \"5 minutes\"], [\"what did I watch on tv on 2014/05/15?\", \"news\"], [\"Did I watch tv on 2014/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/18\": {\"grocery\": {\"eid\": \"e6105\", \"logical_representation\": [\"2014/05/18\", \"I bought some pineapples, peaches, clementines, apple juice, mouth wash, mouthwash, conditioner, toilet paper from the grocery store. I saw Piper, Nora, Kinsley, Piper, Hazel, Lydia, Avery at the grocery store.\", \"pineapples, peaches, clementines\", \"apple juice\", \"mouth wash, mouthwash, conditioner, toilet paper\", \"Piper, Nora, Kinsley, Piper, Hazel, Lydia, Avery\"], \"text_template_based\": \"I bought some pineapples, peaches, clementines, apple juice, mouth wash, mouthwash, conditioner, toilet paper from the grocery store. I saw Piper, Nora, Kinsley, Piper, Hazel, Lydia, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/05/18?\", \"pineapples, peaches, clementines, apple juice, and mouth wash, mouthwash, conditioner, toilet paper\"], [\"what fruits did I buy from the grocery store on 2014/05/18?\", \"pineapples, peaches, clementines\"], [\"what drinks did I buy from the grocery store on 2014/05/18?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2014/05/18?\", \"mouth wash, mouthwash, conditioner, toilet paper\"], [\"who did I see at the grocery store on 2014/05/18?\", \"Piper, Nora, Kinsley, Piper, Hazel, Lydia, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6728\", \"logical_representation\": [\"2014/05/18\", \"biking\"], \"text_template_based\": \"I did biking on 2014/05/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/18?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6729\", \"logical_representation\": [\"2014/05/18\", \"lunch\", \"a burger\", \"Carter, Andrew\"], \"text_template_based\": \"I had a burger for lunch with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/05/18?\", \"Carter, Andrew\"], [\"what did I eat for lunch on 2014/05/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6730\", \"logical_representation\": [\"2014/05/18\", \"dinner\", \"sushi\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/05/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6731\", \"logical_representation\": [\"2014/05/18\", \"Rylee, Piper, Eva, Layla\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Rylee, Piper, Eva, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Eva, Layla during lunch hours on 2014/05/18?\", \"44 minutes\"], [\"who did I talk to on 2014/05/18?\", \"Rylee, Piper, Eva, Layla\"], [\"Did I talk to Rylee, Piper, Eva, Layla on 2014/05/18?\", \"yes\"], [\"Did I talk to anyone on 2014/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6732\", \"logical_representation\": [\"2014/05/18\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/05/18?\", \"26 minutes\"], [\"what did I read on 2014/05/18?\", \"news\"], [\"Did I read on 2014/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6733\", \"logical_representation\": [\"2014/05/18\", \"news\", \"20 minutes\"], \"text_template_based\": \"I watched news for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/18?\", \"20 minutes\"], [\"what did I watch on tv on 2014/05/18?\", \"news\"], [\"Did I watch tv on 2014/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/26\": {\"cook\": {\"eid\": \"e6106\", \"logical_representation\": [\"2014/05/26\", \"I was cooking turkey shepherd\\u2019s pie on 2014/05/26 with Carter, Andrew at my place\", \"cook\", \"turkey shepherd\\u2019s pie\", \"Carter, Andrew\", \"my place\"], \"text_template_based\": \"I was cooking turkey shepherd\\u2019s pie on 2014/05/26 with Carter, Andrew at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  turkey shepherd\\u2019s pie with Carter, Andrew?\", \"2014/05/26\"], [\"what did I  on 2014/05/26?\", \"turkey shepherd\\u2019s pie\"], [\"who was I with when I  turkey shepherd\\u2019s pie on 2014/05/26?\", \"Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6107\", \"logical_representation\": [\"2014/05/26\", \"I bought some apples, strawberries, guava juice, tea, pineapple juice, toothbrush, mouth wash from the grocery store. I saw Jackson at the grocery store.\", \"apples, strawberries\", \"guava juice, tea, pineapple juice\", \"toothbrush, mouth wash\", \"Jackson\"], \"text_template_based\": \"I bought some apples, strawberries, guava juice, tea, pineapple juice, toothbrush, mouth wash from the grocery store. I saw Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/05/26?\", \"apples, strawberries, guava juice, tea, pineapple juice, and toothbrush, mouth wash\"], [\"what fruits did I buy from the grocery store on 2014/05/26?\", \"apples, strawberries\"], [\"what drinks did I buy from the grocery store on 2014/05/26?\", \"guava juice, tea, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2014/05/26?\", \"toothbrush, mouth wash\"], [\"who did I see at the grocery store on 2014/05/26?\", \"Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6759\", \"logical_representation\": [\"2014/05/26\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6760\", \"logical_representation\": [\"2014/05/26\", \"Lydia, Piper, Claire, Olivia\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Claire, Olivia for 13 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Claire, Olivia in the late afternoon on 2014/05/26?\", \"13 minutes\"], [\"who did I talk to on 2014/05/26?\", \"Lydia, Piper, Claire, Olivia\"], [\"Did I talk to Lydia, Piper, Claire, Olivia on 2014/05/26?\", \"yes\"], [\"Did I talk to anyone on 2014/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6761\", \"logical_representation\": [\"2014/05/26\", \"Lydia, Layla\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Lydia, Layla for 51 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla in the late afternoon on 2014/05/26?\", \"51 minutes\"], [\"who did I talk to on 2014/05/26?\", \"Lydia, Layla\"], [\"Did I talk to Lydia, Layla on 2014/05/26?\", \"yes\"], [\"Did I talk to anyone on 2014/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/03\": {\"grocery\": {\"eid\": \"e6108\", \"logical_representation\": [\"2014/06/03\", \"I bought some raspberries, oranges, guava juice, conditioner online.\", \"raspberries, oranges\", \"guava juice\", \"conditioner\", \"Avery, Jackson\"], \"text_template_based\": \"I bought some raspberries, oranges, guava juice, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/06/03?\", \"raspberries, oranges, guava juice, and conditioner\"], [\"what fruits did I buy online on 2014/06/03?\", \"raspberries, oranges\"], [\"what drinks did I buy online on 2014/06/03?\", \"guava juice\"], [\"what toiletries did I buy online on 2014/06/03?\", \"conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6787\", \"logical_representation\": [\"2014/06/03\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/06/03?\", \"Kayden\"], [\"what did I eat for breakfast on 2014/06/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6788\", \"logical_representation\": [\"2014/06/03\", \"dinner\", \"fish and chips\", \"Layla\"], \"text_template_based\": \"I had fish and chips for dinner with Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/06/03?\", \"Layla\"], [\"what did I eat for dinner on 2014/06/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6789\", \"logical_representation\": [\"2014/06/03\", \"Avery, Piper, Claire\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Avery, Piper, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Claire in the early evening on 2014/06/03?\", \"41 minutes\"], [\"who did I talk to on 2014/06/03?\", \"Avery, Piper, Claire\"], [\"Did I talk to Avery, Piper, Claire on 2014/06/03?\", \"yes\"], [\"Did I talk to anyone on 2014/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/09\": {\"bake\": {\"eid\": \"e6109\", \"logical_representation\": [\"2014/06/09\", \"I entertained Andrew, Kayden at my place on 2014/06/09 and bake chrissy teigen\\u2019s 3-ingredient chocolate mousse, birthday cupcakes with white wine buttercream\", \"bake\", \"chrissy teigen\\u2019s 3-ingredient chocolate mousse, birthday cupcakes with white wine buttercream\", \"Andrew, Kayden\", \"my place\"], \"text_template_based\": \"I entertained Andrew, Kayden at my place on 2014/06/09 and bake chrissy teigen\\u2019s 3-ingredient chocolate mousse, birthday cupcakes with white wine buttercream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake chrissy teigen\\u2019s 3-ingredient chocolate mousse, birthday cupcakes with white wine buttercream with Andrew, Kayden?\", \"2014/06/09\"], [\"what did I bake on 2014/06/09?\", \"chrissy teigen\\u2019s 3-ingredient chocolate mousse, birthday cupcakes with white wine buttercream\"], [\"who was I with when I  chrissy teigen\\u2019s 3-ingredient chocolate mousse, birthday cupcakes with white wine buttercream on 2014/06/09?\", \"Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6810\", \"logical_representation\": [\"2014/06/09\", \"running\"], \"text_template_based\": \"I did running on 2014/06/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/09?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6811\", \"logical_representation\": [\"2014/06/09\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/06/09?\", \"Emily\"], [\"what did I eat for breakfast on 2014/06/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6812\", \"logical_representation\": [\"2014/06/09\", \"lunch\", \"tacos\", \"Jackson\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6813\", \"logical_representation\": [\"2014/06/09\", \"dinner\", \"tacos\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/06/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6814\", \"logical_representation\": [\"2014/06/09\", \"Rylee, Piper, Piper\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Rylee, Piper, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Piper during lunch hours on 2014/06/09?\", \"43 minutes\"], [\"who did I talk to on 2014/06/09?\", \"Rylee, Piper, Piper\"], [\"Did I talk to Rylee, Piper, Piper on 2014/06/09?\", \"yes\"], [\"Did I talk to anyone on 2014/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6815\", \"logical_representation\": [\"2014/06/09\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/06/09?\", \"25 minutes\"], [\"what did I read on 2014/06/09?\", \"news\"], [\"Did I read on 2014/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/04\": {\"grocery\": {\"eid\": \"e6110\", \"logical_representation\": [\"2014/06/04\", \"I bought some mandarins, nectarines, milk, tea, paper towel, mouthwash, toothpaste online.\", \"mandarins, nectarines\", \"milk, tea\", \"paper towel, mouthwash, toothpaste\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I bought some mandarins, nectarines, milk, tea, paper towel, mouthwash, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/06/04?\", \"mandarins, nectarines, milk, tea, and paper towel, mouthwash, toothpaste\"], [\"what fruits did I buy online on 2014/06/04?\", \"mandarins, nectarines\"], [\"what drinks did I buy online on 2014/06/04?\", \"milk, tea\"], [\"what toiletries did I buy online on 2014/06/04?\", \"paper towel, mouthwash, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6790\", \"logical_representation\": [\"2014/06/04\", \"running\"], \"text_template_based\": \"I did running on 2014/06/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/04?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6791\", \"logical_representation\": [\"2014/06/04\", \"lunch\", \"steak\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6792\", \"logical_representation\": [\"2014/06/04\", \"Piper\", \"during lunch hours\", \"16 minutes\"], \"text_template_based\": \"I talked to Piper for 16 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2014/06/04?\", \"16 minutes\"], [\"who did I talk to on 2014/06/04?\", \"Piper\"], [\"Did I talk to Piper on 2014/06/04?\", \"yes\"], [\"Did I talk to anyone on 2014/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6793\", \"logical_representation\": [\"2014/06/04\", \"Olivia\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Olivia for 7 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the late afternoon on 2014/06/04?\", \"7 minutes\"], [\"who did I talk to on 2014/06/04?\", \"Olivia\"], [\"Did I talk to Olivia on 2014/06/04?\", \"yes\"], [\"Did I talk to anyone on 2014/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6794\", \"logical_representation\": [\"2014/06/04\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/06/04?\", \"8 minutes\"], [\"what did I read on 2014/06/04?\", \"a book\"], [\"Did I read on 2014/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/11\": {\"dating\": {\"eid\": \"e6111\", \"logical_representation\": [\"2014/06/11\", \"Caroline\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Caroline on 2014/06/11 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/06/11\", \"Caroline\"], [\"where did I go for the date on 2014/06/11\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6821\", \"logical_representation\": [\"2014/06/11\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/06/11?\", \"Andrew\"], [\"what did I eat for breakfast on 2014/06/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6822\", \"logical_representation\": [\"2014/06/11\", \"Rylee, Piper, Nora\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper, Nora for 29 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Nora in the early evening on 2014/06/11?\", \"29 minutes\"], [\"who did I talk to on 2014/06/11?\", \"Rylee, Piper, Nora\"], [\"Did I talk to Rylee, Piper, Nora on 2014/06/11?\", \"yes\"], [\"Did I talk to anyone on 2014/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/15\": {\"dating\": {\"eid\": \"e6112\", \"logical_representation\": [\"2014/06/15\", \"Alice\", \"a park\"], \"text_template_based\": \"I went on a date with Alice on 2014/06/15 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/06/15\", \"Alice\"], [\"where did I go for the date on 2014/06/15\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6833\", \"logical_representation\": [\"2014/06/15\", \"running\"], \"text_template_based\": \"I did running on 2014/06/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6834\", \"logical_representation\": [\"2014/06/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Layla\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/06/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6835\", \"logical_representation\": [\"2014/06/15\", \"lunch\", \"steak\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6836\", \"logical_representation\": [\"2014/06/15\", \"Avery\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Avery for 26 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2014/06/15?\", \"26 minutes\"], [\"who did I talk to on 2014/06/15?\", \"Avery\"], [\"Did I talk to Avery on 2014/06/15?\", \"yes\"], [\"Did I talk to anyone on 2014/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6837\", \"logical_representation\": [\"2014/06/15\", \"Eva, Avery, Olivia\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I talked to Eva, Avery, Olivia for 43 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Olivia during lunch hours on 2014/06/15?\", \"43 minutes\"], [\"who did I talk to on 2014/06/15?\", \"Eva, Avery, Olivia\"], [\"Did I talk to Eva, Avery, Olivia on 2014/06/15?\", \"yes\"], [\"Did I talk to anyone on 2014/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6838\", \"logical_representation\": [\"2014/06/15\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/06/15?\", \"55 minutes\"], [\"what did I read on 2014/06/15?\", \"news\"], [\"Did I read on 2014/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/12\": {\"grocery\": {\"eid\": \"e6113\", \"logical_representation\": [\"2014/06/12\", \"I bought some oranges, tea, chocolate milk, pineapple juice, mineral water, toothpaste, mouth wash, facial wash from the grocery store. I saw Emily, Carter, Andrew at the grocery store.\", \"oranges\", \"tea, chocolate milk, pineapple juice, mineral water\", \"toothpaste, mouth wash, facial wash\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I bought some oranges, tea, chocolate milk, pineapple juice, mineral water, toothpaste, mouth wash, facial wash from the grocery store. I saw Emily, Carter, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/06/12?\", \"oranges, tea, chocolate milk, pineapple juice, mineral water, and toothpaste, mouth wash, facial wash\"], [\"what fruits did I buy from the grocery store on 2014/06/12?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2014/06/12?\", \"tea, chocolate milk, pineapple juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2014/06/12?\", \"toothpaste, mouth wash, facial wash\"], [\"who did I see at the grocery store on 2014/06/12?\", \"Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6823\", \"logical_representation\": [\"2014/06/12\", \"dinner\", \"a burger\", \"Rylee, Hazel, Piper, Lydia, Olivia, Piper, Eva, Layla\"], \"text_template_based\": \"I had a burger for dinner with Rylee, Hazel, Piper, Lydia, Olivia, Piper, Eva, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/06/12?\", \"Rylee, Hazel, Piper, Lydia, Olivia, Piper, Eva, Layla\"], [\"what did I eat for dinner on 2014/06/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6824\", \"logical_representation\": [\"2014/06/12\", \"Avery, Claire\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Avery, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire in the late afternoon on 2014/06/12?\", \"46 minutes\"], [\"who did I talk to on 2014/06/12?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2014/06/12?\", \"yes\"], [\"Did I talk to anyone on 2014/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6825\", \"logical_representation\": [\"2014/06/12\", \"Piper, Piper, Rylee\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Piper, Piper, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Rylee in the late afternoon on 2014/06/12?\", \"26 minutes\"], [\"who did I talk to on 2014/06/12?\", \"Piper, Piper, Rylee\"], [\"Did I talk to Piper, Piper, Rylee on 2014/06/12?\", \"yes\"], [\"Did I talk to anyone on 2014/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/20\": {\"dating\": {\"eid\": \"e6114\", \"logical_representation\": [\"2014/06/20\", \"Piper\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Piper on 2014/06/20 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/06/20\", \"Piper\"], [\"where did I go for the date on 2014/06/20\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6861\", \"logical_representation\": [\"2014/06/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/06/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6862\", \"logical_representation\": [\"2014/06/20\", \"Claire\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I talked to Claire for 12 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2014/06/20?\", \"12 minutes\"], [\"who did I talk to on 2014/06/20?\", \"Claire\"], [\"Did I talk to Claire on 2014/06/20?\", \"yes\"], [\"Did I talk to anyone on 2014/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6863\", \"logical_representation\": [\"2014/06/20\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I watched a documentary for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/20?\", \"7 minutes\"], [\"what did I watch on tv on 2014/06/20?\", \"a documentary\"], [\"Did I watch tv on 2014/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/22\": {\"dating\": {\"eid\": \"e6115\", \"logical_representation\": [\"2014/06/22\", \"Wang-Chiew\", \"a park\"], \"text_template_based\": \"On 2014/06/22, I took Wang-Chiew on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/06/22\", \"Wang-Chiew\"], [\"where did I go for the date on 2014/06/22\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6117\", \"logical_representation\": [\"2014/06/22\", \"I bought some bananas, pineapple juice, chocolate milk, sports drinks, mango juice, shaving cream, mouthwash, shampoo, paper towel from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\", \"bananas\", \"pineapple juice, chocolate milk, sports drinks, mango juice\", \"shaving cream, mouthwash, shampoo, paper towel\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I bought some bananas, pineapple juice, chocolate milk, sports drinks, mango juice, shaving cream, mouthwash, shampoo, paper towel from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/06/22?\", \"bananas, pineapple juice, chocolate milk, sports drinks, mango juice, and shaving cream, mouthwash, shampoo, paper towel\"], [\"what fruits did I buy from the grocery store on 2014/06/22?\", \"bananas\"], [\"what drinks did I buy from the grocery store on 2014/06/22?\", \"pineapple juice, chocolate milk, sports drinks, mango juice\"], [\"what toiletries did I buy from the grocery store on 2014/06/22?\", \"shaving cream, mouthwash, shampoo, paper towel\"], [\"who did I see at the grocery store on 2014/06/22?\", \"Kayden, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6868\", \"logical_representation\": [\"2014/06/22\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/06/22?\", \"Kayden\"], [\"what did I eat for breakfast on 2014/06/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6869\", \"logical_representation\": [\"2014/06/22\", \"lunch\", \"steak\", \"Rylee, Kinsley, Eva, Nevaeh, Nora, Claire, Olivia, Hazel, Avery, Piper\"], \"text_template_based\": \"I had steak for lunch with Rylee, Kinsley, Eva, Nevaeh, Nora, Claire, Olivia, Hazel, Avery, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/06/22?\", \"Rylee, Kinsley, Eva, Nevaeh, Nora, Claire, Olivia, Hazel, Avery, Piper\"], [\"what did I eat for lunch on 2014/06/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6870\", \"logical_representation\": [\"2014/06/22\", \"dinner\", \"a burger\", \"Jackson, Avery\"], \"text_template_based\": \"I had dinner with Jackson, Avery. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/06/22?\", \"Jackson, Avery\"], [\"what did I eat for dinner on 2014/06/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6871\", \"logical_representation\": [\"2014/06/22\", \"Piper, Olivia\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Piper, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia during lunch hours on 2014/06/22?\", \"23 minutes\"], [\"who did I talk to on 2014/06/22?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2014/06/22?\", \"yes\"], [\"Did I talk to anyone on 2014/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6872\", \"logical_representation\": [\"2014/06/22\", \"news\", \"33 minutes\"], \"text_template_based\": \"I watched news for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/22?\", \"33 minutes\"], [\"what did I watch on tv on 2014/06/22?\", \"news\"], [\"Did I watch tv on 2014/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/23\": {\"hobbies\": {\"eid\": \"e6116\", \"logical_representation\": [\"2014/06/23\", \"I spent time yoga on 2014/06/23 with Emily, Carter, Kayden.\", \"yoga\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I spent time yoga on 2014/06/23 with Emily, Carter, Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Emily, Carter, Kayden?\", \"2014/06/23\"], [\"On 2014/06/23, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2014/06/23?\", \"Emily, Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6873\", \"logical_representation\": [\"2014/06/23\", \"lunch\", \"a burger\", \"Nevaeh, Hazel\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6874\", \"logical_representation\": [\"2014/06/23\", \"Olivia, Claire, Nevaeh\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Olivia, Claire, Nevaeh for 16 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire, Nevaeh in the early evening on 2014/06/23?\", \"16 minutes\"], [\"who did I talk to on 2014/06/23?\", \"Olivia, Claire, Nevaeh\"], [\"Did I talk to Olivia, Claire, Nevaeh on 2014/06/23?\", \"yes\"], [\"Did I talk to anyone on 2014/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6875\", \"logical_representation\": [\"2014/06/23\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/23?\", \"47 minutes\"], [\"what did I watch on tv on 2014/06/23?\", \"news\"], [\"Did I watch tv on 2014/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/28\": {\"dating\": {\"eid\": \"e6118\", \"logical_representation\": [\"2014/06/28\", \"Emilia\", \"a boba shop\"], \"text_template_based\": \"On 2014/06/28, I took Emilia on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/06/28\", \"Emilia\"], [\"where did I go for the date on 2014/06/28\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6119\", \"logical_representation\": [\"2014/06/28\", \"I went grocery shopping. I bought some mandarins, nectarines, sports drinks, soda, and toothpaste, conditioner\", \"mandarins, nectarines\", \"sports drinks, soda\", \"toothpaste, conditioner\", \"Lydia, Eva\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, nectarines, sports drinks, soda, and toothpaste, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/06/28?\", \"mandarins, nectarines, sports drinks, soda, and toothpaste, conditioner\"], [\"what fruits did I buy from the grocery store on 2014/06/28?\", \"mandarins, nectarines\"], [\"what drinks did I buy from the grocery store on 2014/06/28?\", \"sports drinks, soda\"], [\"what toiletries did I buy from the grocery store on 2014/06/28?\", \"toothpaste, conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6885\", \"logical_representation\": [\"2014/06/28\", \"breakfast\", \"cereals\", \"Nevaeh, Kinsley, Nora, Avery, Piper, Rylee, Claire, Piper, Eva, Olivia, Lydia, Layla\"], \"text_template_based\": \"I had cereals for breakfast with Nevaeh, Kinsley, Nora, Avery, Piper, Rylee, Claire, Piper, Eva, Olivia, Lydia, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/06/28?\", \"Nevaeh, Kinsley, Nora, Avery, Piper, Rylee, Claire, Piper, Eva, Olivia, Lydia, Layla\"], [\"what did I eat for breakfast on 2014/06/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6886\", \"logical_representation\": [\"2014/06/28\", \"dinner\", \"indian food\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Kayden, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/06/28?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for dinner on 2014/06/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6887\", \"logical_representation\": [\"2014/06/28\", \"Nevaeh, Nora\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Nora for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora in the early afternoon on 2014/06/28?\", \"36 minutes\"], [\"who did I talk to on 2014/06/28?\", \"Nevaeh, Nora\"], [\"Did I talk to Nevaeh, Nora on 2014/06/28?\", \"yes\"], [\"Did I talk to anyone on 2014/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/03\": {\"hobbies\": {\"eid\": \"e6120\", \"logical_representation\": [\"2014/07/03\", \"I spent some time learning a language on 2014/07/03.\", \"learning a language\", \"Lydia\"], \"text_template_based\": \"I spent some time learning a language on 2014/07/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2014/07/03\"], [\"On 2014/07/03, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6900\", \"logical_representation\": [\"2014/07/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/07/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6901\", \"logical_representation\": [\"2014/07/03\", \"dinner\", \"chinese food\", \"Layla, Lydia, Hazel, Piper\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/07/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6902\", \"logical_representation\": [\"2014/07/03\", \"Layla, Avery, Kinsley\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Layla, Avery, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Kinsley in the early afternoon on 2014/07/03?\", \"28 minutes\"], [\"who did I talk to on 2014/07/03?\", \"Layla, Avery, Kinsley\"], [\"Did I talk to Layla, Avery, Kinsley on 2014/07/03?\", \"yes\"], [\"Did I talk to anyone on 2014/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6903\", \"logical_representation\": [\"2014/07/03\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/07/03?\", \"43 minutes\"], [\"what did I read on 2014/07/03?\", \"a book\"], [\"Did I read on 2014/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6904\", \"logical_representation\": [\"2014/07/03\", \"a tv series\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/03?\", \"52 minutes\"], [\"what did I watch on tv on 2014/07/03?\", \"a tv series\"], [\"Did I watch tv on 2014/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/06\": {\"hobbies\": {\"eid\": \"e6121\", \"logical_representation\": [\"2014/07/06\", \"I spent time working out on 2014/07/06 with Nora, Avery, Layla.\", \"working out\", \"Nora, Avery, Layla\"], \"text_template_based\": \"I spent time working out on 2014/07/06 with Nora, Avery, Layla.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Nora, Avery, Layla?\", \"2014/07/06\"], [\"On 2014/07/06, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2014/07/06?\", \"Nora, Avery, Layla\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6912\", \"logical_representation\": [\"2014/07/06\", \"lunch\", \"steak\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had steak for lunch with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/07/06?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2014/07/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6913\", \"logical_representation\": [\"2014/07/06\", \"dinner\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/07/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6914\", \"logical_representation\": [\"2014/07/06\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/07/06?\", \"46 minutes\"], [\"what did I read on 2014/07/06?\", \"a book\"], [\"Did I read on 2014/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/05\": {\"grocery\": {\"eid\": \"e6122\", \"logical_representation\": [\"2014/07/05\", \"I bought some oranges, tea, orange juice, apple juice, body lotion, conditioner, shampoo, facial wash from the grocery store. I saw Kayden, Emily, Carter at the grocery store.\", \"oranges\", \"tea, orange juice, apple juice\", \"body lotion, conditioner, shampoo, facial wash\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I bought some oranges, tea, orange juice, apple juice, body lotion, conditioner, shampoo, facial wash from the grocery store. I saw Kayden, Emily, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/07/05?\", \"oranges, tea, orange juice, apple juice, and body lotion, conditioner, shampoo, facial wash\"], [\"what fruits did I buy from the grocery store on 2014/07/05?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2014/07/05?\", \"tea, orange juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2014/07/05?\", \"body lotion, conditioner, shampoo, facial wash\"], [\"who did I see at the grocery store on 2014/07/05?\", \"Kayden, Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6909\", \"logical_representation\": [\"2014/07/05\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/07/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6910\", \"logical_representation\": [\"2014/07/05\", \"lunch\", \"indian food\", \"Avery\"], \"text_template_based\": \"I had lunch with Avery. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/07/05?\", \"Avery\"], [\"what did I eat for lunch on 2014/07/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6911\", \"logical_representation\": [\"2014/07/05\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/07/05\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2014/07/14\": {\"bake\": {\"eid\": \"e6123\", \"logical_representation\": [\"2014/07/14\", \"I was baking brownies, peanut butter cookies on 2014/07/14 with Emily, Kayden, Andrew at my place\", \"bake\", \"brownies, peanut butter cookies\", \"Emily, Kayden, Andrew\", \"my place\"], \"text_template_based\": \"I was baking brownies, peanut butter cookies on 2014/07/14 with Emily, Kayden, Andrew at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  brownies, peanut butter cookies with Emily, Kayden, Andrew?\", \"2014/07/14\"], [\"what did I  on 2014/07/14?\", \"brownies, peanut butter cookies\"], [\"who was I with when I  brownies, peanut butter cookies on 2014/07/14?\", \"Emily, Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6942\", \"logical_representation\": [\"2014/07/14\", \"breakfast\", \"pancakes\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had breakfast with Avery, Jackson, Benjamin, Willow. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/07/14?\", \"Avery, Jackson, Benjamin, Willow\"], [\"what did I eat for breakfast on 2014/07/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6943\", \"logical_representation\": [\"2014/07/14\", \"Nora, Hazel, Claire\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I talked to Nora, Hazel, Claire for 27 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel, Claire in the morning on 2014/07/14?\", \"27 minutes\"], [\"who did I talk to on 2014/07/14?\", \"Nora, Hazel, Claire\"], [\"Did I talk to Nora, Hazel, Claire on 2014/07/14?\", \"yes\"], [\"Did I talk to anyone on 2014/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6944\", \"logical_representation\": [\"2014/07/14\", \"a tv series\", \"16 minutes\"], \"text_template_based\": \"I watched a tv series for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/14?\", \"16 minutes\"], [\"what did I watch on tv on 2014/07/14?\", \"a tv series\"], [\"Did I watch tv on 2014/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/11\": {\"grocery\": {\"eid\": \"e6124\", \"logical_representation\": [\"2014/07/11\", \"I bought some nectarines, blackberries, mango juice, milk, guava juice, chocolate milk, shaving cream, conditioner from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\", \"nectarines, blackberries\", \"mango juice, milk, guava juice, chocolate milk\", \"shaving cream, conditioner\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I bought some nectarines, blackberries, mango juice, milk, guava juice, chocolate milk, shaving cream, conditioner from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/07/11?\", \"nectarines, blackberries, mango juice, milk, guava juice, chocolate milk, and shaving cream, conditioner\"], [\"what fruits did I buy from the grocery store on 2014/07/11?\", \"nectarines, blackberries\"], [\"what drinks did I buy from the grocery store on 2014/07/11?\", \"mango juice, milk, guava juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2014/07/11?\", \"shaving cream, conditioner\"], [\"who did I see at the grocery store on 2014/07/11?\", \"Andrew, Carter, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6932\", \"logical_representation\": [\"2014/07/11\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/07/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6933\", \"logical_representation\": [\"2014/07/11\", \"lunch\", \"chinese food\", \"Kinsley, Layla\"], \"text_template_based\": \"I had lunch with Kinsley, Layla. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/07/11?\", \"Kinsley, Layla\"], [\"what did I eat for lunch on 2014/07/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6934\", \"logical_representation\": [\"2014/07/11\", \"dinner\", \"pasta\", \"Layla, Hazel, Lydia\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/07/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6935\", \"logical_representation\": [\"2014/07/11\", \"Rylee, Kinsley, Eva\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Rylee, Kinsley, Eva for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Eva in the early evening on 2014/07/11?\", \"39 minutes\"], [\"who did I talk to on 2014/07/11?\", \"Rylee, Kinsley, Eva\"], [\"Did I talk to Rylee, Kinsley, Eva on 2014/07/11?\", \"yes\"], [\"Did I talk to anyone on 2014/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6936\", \"logical_representation\": [\"2014/07/11\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/11?\", \"47 minutes\"], [\"what did I watch on tv on 2014/07/11?\", \"a tv series\"], [\"Did I watch tv on 2014/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/21\": {\"grocery\": {\"eid\": \"e6125\", \"logical_representation\": [\"2014/07/21\", \"I bought some mandarins, raspberries, pineapple juice, sports drinks, shaving cream, mouth wash, shampoo online.\", \"mandarins, raspberries\", \"pineapple juice, sports drinks\", \"shaving cream, mouth wash, shampoo\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I bought some mandarins, raspberries, pineapple juice, sports drinks, shaving cream, mouth wash, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/07/21?\", \"mandarins, raspberries, pineapple juice, sports drinks, and shaving cream, mouth wash, shampoo\"], [\"what fruits did I buy online on 2014/07/21?\", \"mandarins, raspberries\"], [\"what drinks did I buy online on 2014/07/21?\", \"pineapple juice, sports drinks\"], [\"what toiletries did I buy online on 2014/07/21?\", \"shaving cream, mouth wash, shampoo\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6968\", \"logical_representation\": [\"2014/07/21\", \"breakfast\", \"toast and cheese\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had toast and cheese for breakfast with Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/07/21?\", \"Benjamin, Jackson\"], [\"what did I eat for breakfast on 2014/07/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6969\", \"logical_representation\": [\"2014/07/21\", \"lunch\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I had sandwich for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/07/21?\", \"Andrew\"], [\"what did I eat for lunch on 2014/07/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6970\", \"logical_representation\": [\"2014/07/21\", \"dinner\", \"pasta\", \"Emily, Kayden\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/07/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6971\", \"logical_representation\": [\"2014/07/21\", \"Claire\", \"late in the evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Claire for 16 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2014/07/21?\", \"16 minutes\"], [\"who did I talk to on 2014/07/21?\", \"Claire\"], [\"Did I talk to Claire on 2014/07/21?\", \"yes\"], [\"Did I talk to anyone on 2014/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6972\", \"logical_representation\": [\"2014/07/21\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I watched a tv series for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/21?\", \"39 minutes\"], [\"what did I watch on tv on 2014/07/21?\", \"a tv series\"], [\"Did I watch tv on 2014/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/24\": {\"grocery\": {\"eid\": \"e6126\", \"logical_representation\": [\"2014/07/24\", \"I went grocery shopping. I bought some strawberries, apple juice, tea, soda, and toothbrush, toothpaste, mouth wash, mouthwash\", \"strawberries\", \"apple juice, tea, soda\", \"toothbrush, toothpaste, mouth wash, mouthwash\", \"Olivia, Kinsley, Avery, Claire, Lydia\"], \"text_template_based\": \"I went grocery shopping. I bought some strawberries, apple juice, tea, soda, and toothbrush, toothpaste, mouth wash, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/07/24?\", \"strawberries, apple juice, tea, soda, and toothbrush, toothpaste, mouth wash, mouthwash\"], [\"what fruits did I buy from the grocery store on 2014/07/24?\", \"strawberries\"], [\"what drinks did I buy from the grocery store on 2014/07/24?\", \"apple juice, tea, soda\"], [\"what toiletries did I buy from the grocery store on 2014/07/24?\", \"toothbrush, toothpaste, mouth wash, mouthwash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6977\", \"logical_representation\": [\"2014/07/24\", \"breakfast\", \"cereals\", \"Benjamin\"], \"text_template_based\": \"I had cereals for breakfast with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/07/24?\", \"Benjamin\"], [\"what did I eat for breakfast on 2014/07/24\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6978\", \"logical_representation\": [\"2014/07/24\", \"dinner\", \"sandwich\", \"Piper, Hazel, Kinsley, Eva, Layla\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/07/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6979\", \"logical_representation\": [\"2014/07/24\", \"Hazel, Lydia, Piper\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Hazel, Lydia, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Piper in the early afternoon on 2014/07/24?\", \"38 minutes\"], [\"who did I talk to on 2014/07/24?\", \"Hazel, Lydia, Piper\"], [\"Did I talk to Hazel, Lydia, Piper on 2014/07/24?\", \"yes\"], [\"Did I talk to anyone on 2014/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/26\": {\"grocery\": {\"eid\": \"e6127\", \"logical_representation\": [\"2014/07/26\", \"I went grocery shopping. I bought some guava, pears, blueberries, mango juice, mineral water, coffee, and shampoo\", \"guava, pears, blueberries\", \"mango juice, mineral water, coffee\", \"shampoo\", \"Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some guava, pears, blueberries, mango juice, mineral water, coffee, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/07/26?\", \"guava, pears, blueberries, mango juice, mineral water, coffee, and shampoo\"], [\"what fruits did I buy from the grocery store on 2014/07/26?\", \"guava, pears, blueberries\"], [\"what drinks did I buy from the grocery store on 2014/07/26?\", \"mango juice, mineral water, coffee\"], [\"what toiletries did I buy from the grocery store on 2014/07/26?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6984\", \"logical_representation\": [\"2014/07/26\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Willow. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/07/26?\", \"Jackson, Willow\"], [\"what did I eat for breakfast on 2014/07/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6985\", \"logical_representation\": [\"2014/07/26\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I had steak for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/07/26?\", \"Emily\"], [\"what did I eat for dinner on 2014/07/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6986\", \"logical_representation\": [\"2014/07/26\", \"Layla, Kinsley, Claire, Hazel\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I talked to Layla, Kinsley, Claire, Hazel for 14 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Claire, Hazel in the morning on 2014/07/26?\", \"14 minutes\"], [\"who did I talk to on 2014/07/26?\", \"Layla, Kinsley, Claire, Hazel\"], [\"Did I talk to Layla, Kinsley, Claire, Hazel on 2014/07/26?\", \"yes\"], [\"Did I talk to anyone on 2014/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6987\", \"logical_representation\": [\"2014/07/26\", \"Claire\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Claire for 6 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2014/07/26?\", \"6 minutes\"], [\"who did I talk to on 2014/07/26?\", \"Claire\"], [\"Did I talk to Claire on 2014/07/26?\", \"yes\"], [\"Did I talk to anyone on 2014/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6988\", \"logical_representation\": [\"2014/07/26\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/07/26?\", \"40 minutes\"], [\"what did I read on 2014/07/26?\", \"news\"], [\"Did I read on 2014/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6989\", \"logical_representation\": [\"2014/07/26\", \"news\", \"10 minutes\"], \"text_template_based\": \"I watched news for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/26?\", \"10 minutes\"], [\"what did I watch on tv on 2014/07/26?\", \"news\"], [\"Did I watch tv on 2014/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/31\": {\"dating\": {\"eid\": \"e6128\", \"logical_representation\": [\"2014/07/31\", \"Isla\", \"a park\"], \"text_template_based\": \"On 2014/07/31, I took Isla on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/07/31\", \"Isla\"], [\"where did I go for the date on 2014/07/31\", \"a park\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7005\", \"logical_representation\": [\"2014/07/31\", \"lunch\", \"tacos\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I had lunch with Willow, Avery, Benjamin. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/07/31?\", \"Willow, Avery, Benjamin\"], [\"what did I eat for lunch on 2014/07/31\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7006\", \"logical_representation\": [\"2014/07/31\", \"Kinsley, Hazel\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel for 51 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel in the late afternoon on 2014/07/31?\", \"51 minutes\"], [\"who did I talk to on 2014/07/31?\", \"Kinsley, Hazel\"], [\"Did I talk to Kinsley, Hazel on 2014/07/31?\", \"yes\"], [\"Did I talk to anyone on 2014/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/06\": {\"dating\": {\"eid\": \"e6129\", \"logical_representation\": [\"2014/08/06\", \"Grayson\", \"a park\"], \"text_template_based\": \"On 2014/08/06, I took Grayson on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/08/06\", \"Grayson\"], [\"where did I go for the date on 2014/08/06\", \"a park\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7018\", \"logical_representation\": [\"2014/08/06\", \"news\", \"18 minutes\"], \"text_template_based\": \"I watched news for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/06?\", \"18 minutes\"], [\"what did I watch on tv on 2014/08/06?\", \"news\"], [\"Did I watch tv on 2014/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/09\": {\"grocery\": {\"eid\": \"e6130\", \"logical_representation\": [\"2014/08/09\", \"I bought some watermelons, pineapples, bananas, chocolate milk, pineapple juice, guava juice, conditioner from the grocery store. I saw Carter, Kayden at the grocery store.\", \"watermelons, pineapples, bananas\", \"chocolate milk, pineapple juice, guava juice\", \"conditioner\", \"Carter, Kayden\"], \"text_template_based\": \"I bought some watermelons, pineapples, bananas, chocolate milk, pineapple juice, guava juice, conditioner from the grocery store. I saw Carter, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/08/09?\", \"watermelons, pineapples, bananas, chocolate milk, pineapple juice, guava juice, and conditioner\"], [\"what fruits did I buy from the grocery store on 2014/08/09?\", \"watermelons, pineapples, bananas\"], [\"what drinks did I buy from the grocery store on 2014/08/09?\", \"chocolate milk, pineapple juice, guava juice\"], [\"what toiletries did I buy from the grocery store on 2014/08/09?\", \"conditioner\"], [\"who did I see at the grocery store on 2014/08/09?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7027\", \"logical_representation\": [\"2014/08/09\", \"running\"], \"text_template_based\": \"I did running on 2014/08/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/09?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7028\", \"logical_representation\": [\"2014/08/09\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Piper, Hazel, Nevaeh\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7029\", \"logical_representation\": [\"2014/08/09\", \"Piper\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2014/08/09?\", \"47 minutes\"], [\"who did I talk to on 2014/08/09?\", \"Piper\"], [\"Did I talk to Piper on 2014/08/09?\", \"yes\"], [\"Did I talk to anyone on 2014/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7030\", \"logical_representation\": [\"2014/08/09\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/09?\", \"5 minutes\"], [\"what did I read on 2014/08/09?\", \"news\"], [\"Did I read on 2014/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7031\", \"logical_representation\": [\"2014/08/09\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/09?\", \"39 minutes\"], [\"what did I watch on tv on 2014/08/09?\", \"a documentary\"], [\"Did I watch tv on 2014/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/17\": {\"dating\": {\"eid\": \"e6131\", \"logical_representation\": [\"2014/08/17\", \"Cooper\", \"a boba shop\"], \"text_template_based\": \"On 2014/08/17, I took Cooper on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/08/17\", \"Cooper\"], [\"where did I go for the date on 2014/08/17\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7063\", \"logical_representation\": [\"2014/08/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/08/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7064\", \"logical_representation\": [\"2014/08/17\", \"lunch\", \"tacos\", \"Piper, Hazel, Kinsley, Nora, Lydia, Olivia, Eva, Claire, Piper, Nevaeh, Avery, Layla\"], \"text_template_based\": \"I had lunch with Piper, Hazel, Kinsley, Nora, Lydia, Olivia, Eva, Claire, Piper, Nevaeh, Avery, Layla. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/08/17?\", \"Piper, Hazel, Kinsley, Nora, Lydia, Olivia, Eva, Claire, Piper, Nevaeh, Avery, Layla\"], [\"what did I eat for lunch on 2014/08/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7065\", \"logical_representation\": [\"2014/08/17\", \"dinner\", \"pasta\", \"Olivia, Lydia, Hazel, Rylee, Claire, Piper, Nora, Kinsley, Avery, Layla, Nevaeh, Piper, Eva\"], \"text_template_based\": \"I had pasta for dinner with Olivia, Lydia, Hazel, Rylee, Claire, Piper, Nora, Kinsley, Avery, Layla, Nevaeh, Piper, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/08/17?\", \"Olivia, Lydia, Hazel, Rylee, Claire, Piper, Nora, Kinsley, Avery, Layla, Nevaeh, Piper, Eva\"], [\"what did I eat for dinner on 2014/08/17\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2014/08/24\": {\"dating\": {\"eid\": \"e6132\", \"logical_representation\": [\"2014/08/24\", \"Layla\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Layla on 2014/08/24 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/08/24\", \"Layla\"], [\"where did I go for the date on 2014/08/24\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6136\", \"logical_representation\": [\"2014/08/24\", \"I went grocery shopping with Layla, Eva, Piper, Rylee, Hazel, Avery, Nora, Piper, Olivia, Nevaeh. I bought some apples, watermelons, milk, orange juice, and body lotion\", \"apples, watermelons\", \"milk, orange juice\", \"body lotion\", \"Layla, Eva, Piper, Rylee, Hazel, Avery, Nora, Piper, Olivia, Nevaeh\"], \"text_template_based\": \"I went grocery shopping with Layla, Eva, Piper, Rylee, Hazel, Avery, Nora, Piper, Olivia, Nevaeh. I bought some apples, watermelons, milk, orange juice, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/08/24?\", \"apples, watermelons, milk, orange juice, and body lotion\"], [\"what fruits did I buy from the grocery store on 2014/08/24?\", \"apples, watermelons\"], [\"what drinks did I buy from the grocery store on 2014/08/24?\", \"milk, orange juice\"], [\"what toiletries did I buy from the grocery store on 2014/08/24?\", \"body lotion\"], [\"who was with me at the grocery store on 2014/08/24?\", \"Layla, Eva, Piper, Rylee, Hazel, Avery, Nora, Piper, Olivia, Nevaeh\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7091\", \"logical_representation\": [\"2014/08/24\", \"breakfast\", \"oatmeal\", \"Nora, Olivia, Piper, Hazel, Kinsley, Rylee\"], \"text_template_based\": \"I had breakfast with Nora, Olivia, Piper, Hazel, Kinsley, Rylee. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/08/24?\", \"Nora, Olivia, Piper, Hazel, Kinsley, Rylee\"], [\"what did I eat for breakfast on 2014/08/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7092\", \"logical_representation\": [\"2014/08/24\", \"dinner\", \"tacos\", \"Carter, Andrew\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/08/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7093\", \"logical_representation\": [\"2014/08/24\", \"Avery, Eva, Nora\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Avery, Eva, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Nora late in the evening on 2014/08/24?\", \"24 minutes\"], [\"who did I talk to on 2014/08/24?\", \"Avery, Eva, Nora\"], [\"Did I talk to Avery, Eva, Nora on 2014/08/24?\", \"yes\"], [\"Did I talk to anyone on 2014/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/20\": {\"hobbies\": {\"eid\": \"e6133\", \"logical_representation\": [\"2014/08/20\", \"I spent time working out on 2014/08/20 with Carter.\", \"working out\", \"Carter\"], \"text_template_based\": \"I spent time working out on 2014/08/20 with Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Carter?\", \"2014/08/20\"], [\"On 2014/08/20, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2014/08/20?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6135\", \"logical_representation\": [\"2014/08/20\", \"I bought some nectarines, peaches, guava, bananas, tea, milk, mango juice, shampoo from the grocery store. I saw Avery at the grocery store.\", \"nectarines, peaches, guava, bananas\", \"tea, milk, mango juice\", \"shampoo\", \"Avery\"], \"text_template_based\": \"I bought some nectarines, peaches, guava, bananas, tea, milk, mango juice, shampoo from the grocery store. I saw Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/08/20?\", \"nectarines, peaches, guava, bananas, tea, milk, mango juice, and shampoo\"], [\"what fruits did I buy from the grocery store on 2014/08/20?\", \"nectarines, peaches, guava, bananas\"], [\"what drinks did I buy from the grocery store on 2014/08/20?\", \"tea, milk, mango juice\"], [\"what toiletries did I buy from the grocery store on 2014/08/20?\", \"shampoo\"], [\"who did I see at the grocery store on 2014/08/20?\", \"Avery\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7075\", \"logical_representation\": [\"2014/08/20\", \"lunch\", \"a burger\", \"Claire, Olivia, Avery, Kinsley, Piper, Lydia, Nevaeh\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7076\", \"logical_representation\": [\"2014/08/20\", \"dinner\", \"a burger\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/08/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7077\", \"logical_representation\": [\"2014/08/20\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/20?\", \"37 minutes\"], [\"what did I watch on tv on 2014/08/20?\", \"a documentary\"], [\"Did I watch tv on 2014/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/23\": {\"hobbies\": {\"eid\": \"e6134\", \"logical_representation\": [\"2014/08/23\", \"I spent time meditation on 2014/08/23 with Carter.\", \"meditation\", \"Carter\"], \"text_template_based\": \"I spent time meditation on 2014/08/23 with Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Carter?\", \"2014/08/23\"], [\"On 2014/08/23, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2014/08/23?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7087\", \"logical_representation\": [\"2014/08/23\", \"breakfast\", \"oatmeal\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7088\", \"logical_representation\": [\"2014/08/23\", \"lunch\", \"sushi\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7089\", \"logical_representation\": [\"2014/08/23\", \"Rylee\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Rylee for 52 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2014/08/23?\", \"52 minutes\"], [\"who did I talk to on 2014/08/23?\", \"Rylee\"], [\"Did I talk to Rylee on 2014/08/23?\", \"yes\"], [\"Did I talk to anyone on 2014/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7090\", \"logical_representation\": [\"2014/08/23\", \"Nevaeh, Piper\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Nevaeh, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper late in the evening on 2014/08/23?\", \"55 minutes\"], [\"who did I talk to on 2014/08/23?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2014/08/23?\", \"yes\"], [\"Did I talk to anyone on 2014/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/30\": {\"hobbies\": {\"eid\": \"e6137\", \"logical_representation\": [\"2014/08/30\", \"I spent time meditation on 2014/08/30 with Olivia, Nora, Layla.\", \"meditation\", \"Olivia, Nora, Layla\"], \"text_template_based\": \"I spent time meditation on 2014/08/30 with Olivia, Nora, Layla.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Olivia, Nora, Layla?\", \"2014/08/30\"], [\"On 2014/08/30, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2014/08/30?\", \"Olivia, Nora, Layla\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7117\", \"logical_representation\": [\"2014/08/30\", \"biking\"], \"text_template_based\": \"I did biking on 2014/08/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7118\", \"logical_representation\": [\"2014/08/30\", \"dinner\", \"a burger\", \"Jackson, Willow\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/08/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7119\", \"logical_representation\": [\"2014/08/30\", \"Olivia\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Olivia for 5 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2014/08/30?\", \"5 minutes\"], [\"who did I talk to on 2014/08/30?\", \"Olivia\"], [\"Did I talk to Olivia on 2014/08/30?\", \"yes\"], [\"Did I talk to anyone on 2014/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7120\", \"logical_representation\": [\"2014/08/30\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/08/30?\", \"47 minutes\"], [\"what did I read on 2014/08/30?\", \"a book\"], [\"Did I read on 2014/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7121\", \"logical_representation\": [\"2014/08/30\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I watched a documentary for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/30?\", \"22 minutes\"], [\"what did I watch on tv on 2014/08/30?\", \"a documentary\"], [\"Did I watch tv on 2014/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/08\": {\"dating\": {\"eid\": \"e6138\", \"logical_representation\": [\"2014/09/08\", \"Emilia\", \"a restaurant\"], \"text_template_based\": \"On 2014/09/08, I took Emilia on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/09/08\", \"Emilia\"], [\"where did I go for the date on 2014/09/08\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7151\", \"logical_representation\": [\"2014/09/08\", \"Piper\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2014/09/08?\", \"7 minutes\"], [\"who did I talk to on 2014/09/08?\", \"Piper\"], [\"Did I talk to Piper on 2014/09/08?\", \"yes\"], [\"Did I talk to anyone on 2014/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7152\", \"logical_representation\": [\"2014/09/08\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/09/08?\", \"24 minutes\"], [\"what did I read on 2014/09/08?\", \"social media\"], [\"Did I read on 2014/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7153\", \"logical_representation\": [\"2014/09/08\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/08?\", \"27 minutes\"], [\"what did I watch on tv on 2014/09/08?\", \"a documentary\"], [\"Did I watch tv on 2014/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/07\": {\"hobbies\": {\"eid\": \"e6139\", \"logical_representation\": [\"2014/09/07\", \"I really enjoyed meditation on 2014/09/07\", \"meditation\", \"Nevaeh, Claire\"], \"text_template_based\": \"I really enjoyed meditation on 2014/09/07\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2014/09/07\"], [\"On 2014/09/07, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}}, \"2014/09/15\": {\"dating\": {\"eid\": \"e6140\", \"logical_representation\": [\"2014/09/15\", \"Lily\", \"a restaurant\"], \"text_template_based\": \"On 2014/09/15, I took Lily on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/09/15\", \"Lily\"], [\"where did I go for the date on 2014/09/15\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6141\", \"logical_representation\": [\"2014/09/15\", \"I went grocery shopping. I bought some mandarins, chocolate milk, orange juice, mineral water, and facial wash, shampoo, mouthwash\", \"mandarins\", \"chocolate milk, orange juice, mineral water\", \"facial wash, shampoo, mouthwash\", \"Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, chocolate milk, orange juice, mineral water, and facial wash, shampoo, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/09/15?\", \"mandarins, chocolate milk, orange juice, mineral water, and facial wash, shampoo, mouthwash\"], [\"what fruits did I buy from the grocery store on 2014/09/15?\", \"mandarins\"], [\"what drinks did I buy from the grocery store on 2014/09/15?\", \"chocolate milk, orange juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2014/09/15?\", \"facial wash, shampoo, mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7177\", \"logical_representation\": [\"2014/09/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7178\", \"logical_representation\": [\"2014/09/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/09/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7179\", \"logical_representation\": [\"2014/09/15\", \"lunch\", \"sandwich\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/09/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7180\", \"logical_representation\": [\"2014/09/15\", \"dinner\", \"chinese food\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/09/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7181\", \"logical_representation\": [\"2014/09/15\", \"Claire\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2014/09/15?\", \"26 minutes\"], [\"who did I talk to on 2014/09/15?\", \"Claire\"], [\"Did I talk to Claire on 2014/09/15?\", \"yes\"], [\"Did I talk to anyone on 2014/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7182\", \"logical_representation\": [\"2014/09/15\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/09/15?\", \"23 minutes\"], [\"what did I read on 2014/09/15?\", \"a book\"], [\"Did I read on 2014/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/22\": {\"bake\": {\"eid\": \"e6142\", \"logical_representation\": [\"2014/09/22\", \"I entertained Hazel at my place on 2014/09/22 and bake carrot cake, cranberry apple danish, vegan sugar cookies\", \"bake\", \"carrot cake, cranberry apple danish, vegan sugar cookies\", \"Hazel\", \"my place\"], \"text_template_based\": \"I entertained Hazel at my place on 2014/09/22 and bake carrot cake, cranberry apple danish, vegan sugar cookies\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake carrot cake, cranberry apple danish, vegan sugar cookies with Hazel?\", \"2014/09/22\"], [\"what did I bake on 2014/09/22?\", \"carrot cake, cranberry apple danish, vegan sugar cookies\"], [\"who was I with when I  carrot cake, cranberry apple danish, vegan sugar cookies on 2014/09/22?\", \"Hazel\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e6143\", \"logical_representation\": [\"2014/09/22\", \"Violet\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Violet on 2014/09/22 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/09/22\", \"Violet\"], [\"where did I go for the date on 2014/09/22\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7210\", \"logical_representation\": [\"2014/09/22\", \"running\"], \"text_template_based\": \"I did running on 2014/09/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7211\", \"logical_representation\": [\"2014/09/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/09/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7212\", \"logical_representation\": [\"2014/09/22\", \"lunch\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/09/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7213\", \"logical_representation\": [\"2014/09/22\", \"Rylee, Claire, Olivia\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Rylee, Claire, Olivia for 40 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Olivia in the early evening on 2014/09/22?\", \"40 minutes\"], [\"who did I talk to on 2014/09/22?\", \"Rylee, Claire, Olivia\"], [\"Did I talk to Rylee, Claire, Olivia on 2014/09/22?\", \"yes\"], [\"Did I talk to anyone on 2014/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7214\", \"logical_representation\": [\"2014/09/22\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/09/22?\", \"11 minutes\"], [\"what did I read on 2014/09/22?\", \"news\"], [\"Did I read on 2014/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7215\", \"logical_representation\": [\"2014/09/22\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I watched a movie for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/22?\", \"18 minutes\"], [\"what did I watch on tv on 2014/09/22?\", \"a movie\"], [\"Did I watch tv on 2014/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/18\": {\"grocery\": {\"eid\": \"e6144\", \"logical_representation\": [\"2014/09/18\", \"I went grocery shopping with Benjamin, Jackson, Avery, Willow. I bought some cherres, orange juice, coffee, mineral water, and facial wash, conditioner, toothbrush, toilet paper\", \"cherres\", \"orange juice, coffee, mineral water\", \"facial wash, conditioner, toothbrush, toilet paper\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I went grocery shopping with Benjamin, Jackson, Avery, Willow. I bought some cherres, orange juice, coffee, mineral water, and facial wash, conditioner, toothbrush, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/09/18?\", \"cherres, orange juice, coffee, mineral water, and facial wash, conditioner, toothbrush, toilet paper\"], [\"what fruits did I buy from the grocery store on 2014/09/18?\", \"cherres\"], [\"what drinks did I buy from the grocery store on 2014/09/18?\", \"orange juice, coffee, mineral water\"], [\"what toiletries did I buy from the grocery store on 2014/09/18?\", \"facial wash, conditioner, toothbrush, toilet paper\"], [\"who was with me at the grocery store on 2014/09/18?\", \"Benjamin, Jackson, Avery, Willow\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7194\", \"logical_representation\": [\"2014/09/18\", \"lunch\", \"pasta\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Andrew, Carter. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/09/18?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for lunch on 2014/09/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7195\", \"logical_representation\": [\"2014/09/18\", \"Piper, Rylee, Layla, Nevaeh\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Piper, Rylee, Layla, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Layla, Nevaeh in the late afternoon on 2014/09/18?\", \"32 minutes\"], [\"who did I talk to on 2014/09/18?\", \"Piper, Rylee, Layla, Nevaeh\"], [\"Did I talk to Piper, Rylee, Layla, Nevaeh on 2014/09/18?\", \"yes\"], [\"Did I talk to anyone on 2014/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/21\": {\"grocery\": {\"eid\": \"e6145\", \"logical_representation\": [\"2014/09/21\", \"I bought some mandarins, blackberries, soda, mango juice, mouth wash, facial wash online.\", \"mandarins, blackberries\", \"soda, mango juice\", \"mouth wash, facial wash\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I bought some mandarins, blackberries, soda, mango juice, mouth wash, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/09/21?\", \"mandarins, blackberries, soda, mango juice, and mouth wash, facial wash\"], [\"what fruits did I buy online on 2014/09/21?\", \"mandarins, blackberries\"], [\"what drinks did I buy online on 2014/09/21?\", \"soda, mango juice\"], [\"what toiletries did I buy online on 2014/09/21?\", \"mouth wash, facial wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7206\", \"logical_representation\": [\"2014/09/21\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had cereals for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/09/21?\", \"Carter\"], [\"what did I eat for breakfast on 2014/09/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7207\", \"logical_representation\": [\"2014/09/21\", \"Piper, Olivia\", \"in the early afternoon\", \"55 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia for 55 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the early afternoon on 2014/09/21?\", \"55 minutes\"], [\"who did I talk to on 2014/09/21?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2014/09/21?\", \"yes\"], [\"Did I talk to anyone on 2014/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7208\", \"logical_representation\": [\"2014/09/21\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/09/21?\", \"37 minutes\"], [\"what did I read on 2014/09/21?\", \"news\"], [\"Did I read on 2014/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7209\", \"logical_representation\": [\"2014/09/21\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I watched a tv series for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/21?\", \"32 minutes\"], [\"what did I watch on tv on 2014/09/21?\", \"a tv series\"], [\"Did I watch tv on 2014/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/07\": {\"dating\": {\"eid\": \"e6146\", \"logical_representation\": [\"2014/10/07\", \"Mila\", \"a boba shop\"], \"text_template_based\": \"On 2014/10/07, I took Mila on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/10/07\", \"Mila\"], [\"where did I go for the date on 2014/10/07\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6148\", \"logical_representation\": [\"2014/10/07\", \"I went grocery shopping. I bought some raspberries, blackberries, orange juice, sports drinks, mineral water, soda, and toothpaste, body lotion\", \"raspberries, blackberries\", \"orange juice, sports drinks, mineral water, soda\", \"toothpaste, body lotion\", \"Hazel, Nevaeh, Nora, Piper, Kinsley, Eva, Avery, Piper, Layla, Claire, Rylee, Olivia, Lydia\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, blackberries, orange juice, sports drinks, mineral water, soda, and toothpaste, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/10/07?\", \"raspberries, blackberries, orange juice, sports drinks, mineral water, soda, and toothpaste, body lotion\"], [\"what fruits did I buy from the grocery store on 2014/10/07?\", \"raspberries, blackberries\"], [\"what drinks did I buy from the grocery store on 2014/10/07?\", \"orange juice, sports drinks, mineral water, soda\"], [\"what toiletries did I buy from the grocery store on 2014/10/07?\", \"toothpaste, body lotion\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7262\", \"logical_representation\": [\"2014/10/07\", \"dinner\", \"pasta\", \"Nora, Piper, Hazel, Piper, Olivia, Claire, Layla\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7263\", \"logical_representation\": [\"2014/10/07\", \"Nevaeh, Piper, Rylee, Hazel\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Rylee, Hazel for 35 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Rylee, Hazel in the early evening on 2014/10/07?\", \"35 minutes\"], [\"who did I talk to on 2014/10/07?\", \"Nevaeh, Piper, Rylee, Hazel\"], [\"Did I talk to Nevaeh, Piper, Rylee, Hazel on 2014/10/07?\", \"yes\"], [\"Did I talk to anyone on 2014/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7264\", \"logical_representation\": [\"2014/10/07\", \"Eva, Layla, Piper\", \"in the morning\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Eva, Layla, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Piper in the morning on 2014/10/07?\", \"23 minutes\"], [\"who did I talk to on 2014/10/07?\", \"Eva, Layla, Piper\"], [\"Did I talk to Eva, Layla, Piper on 2014/10/07?\", \"yes\"], [\"Did I talk to anyone on 2014/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7265\", \"logical_representation\": [\"2014/10/07\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I watched a documentary for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/07?\", \"33 minutes\"], [\"what did I watch on tv on 2014/10/07?\", \"a documentary\"], [\"Did I watch tv on 2014/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/03\": {\"grocery\": {\"eid\": \"e6147\", \"logical_representation\": [\"2014/10/03\", \"I went grocery shopping with Avery, Benjamin, Jackson, Willow. I bought some mangos, pears, watermelons, mango juice, sports drinks, apple juice, mineral water, and mouth wash, conditioner\", \"mangos, pears, watermelons\", \"mango juice, sports drinks, apple juice, mineral water\", \"mouth wash, conditioner\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I went grocery shopping with Avery, Benjamin, Jackson, Willow. I bought some mangos, pears, watermelons, mango juice, sports drinks, apple juice, mineral water, and mouth wash, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/10/03?\", \"mangos, pears, watermelons, mango juice, sports drinks, apple juice, mineral water, and mouth wash, conditioner\"], [\"what fruits did I buy from the grocery store on 2014/10/03?\", \"mangos, pears, watermelons\"], [\"what drinks did I buy from the grocery store on 2014/10/03?\", \"mango juice, sports drinks, apple juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2014/10/03?\", \"mouth wash, conditioner\"], [\"who was with me at the grocery store on 2014/10/03?\", \"Avery, Benjamin, Jackson, Willow\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7249\", \"logical_representation\": [\"2014/10/03\", \"biking\"], \"text_template_based\": \"I did biking on 2014/10/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7250\", \"logical_representation\": [\"2014/10/03\", \"Lydia, Eva, Avery\", \"during lunch hours\", \"22 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva, Avery for 22 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Avery during lunch hours on 2014/10/03?\", \"22 minutes\"], [\"who did I talk to on 2014/10/03?\", \"Lydia, Eva, Avery\"], [\"Did I talk to Lydia, Eva, Avery on 2014/10/03?\", \"yes\"], [\"Did I talk to anyone on 2014/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7251\", \"logical_representation\": [\"2014/10/03\", \"Nevaeh, Kinsley, Piper\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Nevaeh, Kinsley, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Piper late in the evening on 2014/10/03?\", \"45 minutes\"], [\"who did I talk to on 2014/10/03?\", \"Nevaeh, Kinsley, Piper\"], [\"Did I talk to Nevaeh, Kinsley, Piper on 2014/10/03?\", \"yes\"], [\"Did I talk to anyone on 2014/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/08\": {\"hobbies\": {\"eid\": \"e6149\", \"logical_representation\": [\"2014/10/08\", \"I spent time learning a language on 2014/10/08 with Claire.\", \"learning a language\", \"Claire\"], \"text_template_based\": \"I spent time learning a language on 2014/10/08 with Claire.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Claire?\", \"2014/10/08\"], [\"On 2014/10/08, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2014/10/08?\", \"Claire\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7266\", \"logical_representation\": [\"2014/10/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/10/08?\", \"Piper\"], [\"what did I eat for breakfast on 2014/10/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7267\", \"logical_representation\": [\"2014/10/08\", \"dinner\", \"tacos\", \"Nevaeh, Avery, Piper, Layla, Piper, Eva, Olivia, Rylee, Hazel, Nora\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7268\", \"logical_representation\": [\"2014/10/08\", \"Hazel, Piper, Nevaeh\", \"in the late afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Hazel, Piper, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Nevaeh in the late afternoon on 2014/10/08?\", \"16 minutes\"], [\"who did I talk to on 2014/10/08?\", \"Hazel, Piper, Nevaeh\"], [\"Did I talk to Hazel, Piper, Nevaeh on 2014/10/08?\", \"yes\"], [\"Did I talk to anyone on 2014/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7269\", \"logical_representation\": [\"2014/10/08\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/10/08?\", \"47 minutes\"], [\"what did I read on 2014/10/08?\", \"a book\"], [\"Did I read on 2014/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7270\", \"logical_representation\": [\"2014/10/08\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/08?\", \"11 minutes\"], [\"what did I watch on tv on 2014/10/08?\", \"a tv series\"], [\"Did I watch tv on 2014/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/09\": {\"grocery\": {\"eid\": \"e6150\", \"logical_representation\": [\"2014/10/09\", \"I went grocery shopping with Emily, Kayden, Carter. I bought some mandarins, apple juice, mango juice, chocolate milk, and toothpaste, paper towel, toilet paper, shaving cream\", \"mandarins\", \"apple juice, mango juice, chocolate milk\", \"toothpaste, paper towel, toilet paper, shaving cream\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping with Emily, Kayden, Carter. I bought some mandarins, apple juice, mango juice, chocolate milk, and toothpaste, paper towel, toilet paper, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/10/09?\", \"mandarins, apple juice, mango juice, chocolate milk, and toothpaste, paper towel, toilet paper, shaving cream\"], [\"what fruits did I buy from the grocery store on 2014/10/09?\", \"mandarins\"], [\"what drinks did I buy from the grocery store on 2014/10/09?\", \"apple juice, mango juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2014/10/09?\", \"toothpaste, paper towel, toilet paper, shaving cream\"], [\"who was with me at the grocery store on 2014/10/09?\", \"Emily, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7271\", \"logical_representation\": [\"2014/10/09\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/10/09?\", \"Kayden, Carter\"], [\"what did I eat for breakfast on 2014/10/09\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7272\", \"logical_representation\": [\"2014/10/09\", \"dinner\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had a burger for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/10/09?\", \"Andrew\"], [\"what did I eat for dinner on 2014/10/09\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2014/10/12\": {\"grocery\": {\"eid\": \"e6151\", \"logical_representation\": [\"2014/10/12\", \"I bought some cherres, watermelons, pineapple juice, shampoo, toothbrush, toothpaste online.\", \"cherres, watermelons\", \"pineapple juice\", \"shampoo, toothbrush, toothpaste\", \"Olivia, Avery\"], \"text_template_based\": \"I bought some cherres, watermelons, pineapple juice, shampoo, toothbrush, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/10/12?\", \"cherres, watermelons, pineapple juice, and shampoo, toothbrush, toothpaste\"], [\"what fruits did I buy online on 2014/10/12?\", \"cherres, watermelons\"], [\"what drinks did I buy online on 2014/10/12?\", \"pineapple juice\"], [\"what toiletries did I buy online on 2014/10/12?\", \"shampoo, toothbrush, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7278\", \"logical_representation\": [\"2014/10/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/10/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7279\", \"logical_representation\": [\"2014/10/12\", \"lunch\", \"tacos\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/10/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7280\", \"logical_representation\": [\"2014/10/12\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/10/12?\", \"13 minutes\"], [\"what did I read on 2014/10/12?\", \"social media\"], [\"Did I read on 2014/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/15\": {\"hobbies\": {\"eid\": \"e6152\", \"logical_representation\": [\"2014/10/15\", \"I spent some time yoga on 2014/10/15.\", \"yoga\", \"Jackson\"], \"text_template_based\": \"I spent some time yoga on 2014/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2014/10/15\"], [\"On 2014/10/15, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7287\", \"logical_representation\": [\"2014/10/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7288\", \"logical_representation\": [\"2014/10/15\", \"breakfast\", \"cereals\", \"Piper, Avery, Olivia\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/10/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7289\", \"logical_representation\": [\"2014/10/15\", \"lunch\", \"sandwich\", \"Kinsley, Nora, Lydia, Avery, Layla, Piper, Eva, Hazel, Claire\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/10/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7290\", \"logical_representation\": [\"2014/10/15\", \"Claire, Hazel, Nevaeh, Piper\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Claire, Hazel, Nevaeh, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Nevaeh, Piper in the early afternoon on 2014/10/15?\", \"52 minutes\"], [\"who did I talk to on 2014/10/15?\", \"Claire, Hazel, Nevaeh, Piper\"], [\"Did I talk to Claire, Hazel, Nevaeh, Piper on 2014/10/15?\", \"yes\"], [\"Did I talk to anyone on 2014/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7291\", \"logical_representation\": [\"2014/10/15\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I watched a documentary for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/15?\", \"23 minutes\"], [\"what did I watch on tv on 2014/10/15?\", \"a documentary\"], [\"Did I watch tv on 2014/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/21\": {\"grocery\": {\"eid\": \"e6153\", \"logical_representation\": [\"2014/10/21\", \"I went grocery shopping. I bought some strawberries, blueberries, pineapples, mandarins, mango juice, pineapple juice, and toilet paper, mouth wash, paper towel\", \"strawberries, blueberries, pineapples, mandarins\", \"mango juice, pineapple juice\", \"toilet paper, mouth wash, paper towel\", \"Claire, Nora, Eva, Lydia, Avery, Piper, Layla, Kinsley, Nevaeh, Rylee, Hazel, Piper, Olivia\"], \"text_template_based\": \"I went grocery shopping. I bought some strawberries, blueberries, pineapples, mandarins, mango juice, pineapple juice, and toilet paper, mouth wash, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/10/21?\", \"strawberries, blueberries, pineapples, mandarins, mango juice, pineapple juice, and toilet paper, mouth wash, paper towel\"], [\"what fruits did I buy from the grocery store on 2014/10/21?\", \"strawberries, blueberries, pineapples, mandarins\"], [\"what drinks did I buy from the grocery store on 2014/10/21?\", \"mango juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2014/10/21?\", \"toilet paper, mouth wash, paper towel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7312\", \"logical_representation\": [\"2014/10/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/10/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7313\", \"logical_representation\": [\"2014/10/21\", \"lunch\", \"sushi\", \"Layla, Nevaeh, Piper, Kinsley\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/10/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7314\", \"logical_representation\": [\"2014/10/21\", \"dinner\", \"steak\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/21\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2014/10/24\": {\"grocery\": {\"eid\": \"e6154\", \"logical_representation\": [\"2014/10/24\", \"I went grocery shopping. I bought some clementines, mandarins, mineral water, milk, sports drinks, soda, and mouth wash, shaving cream, toothbrush\", \"clementines, mandarins\", \"mineral water, milk, sports drinks, soda\", \"mouth wash, shaving cream, toothbrush\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some clementines, mandarins, mineral water, milk, sports drinks, soda, and mouth wash, shaving cream, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/10/24?\", \"clementines, mandarins, mineral water, milk, sports drinks, soda, and mouth wash, shaving cream, toothbrush\"], [\"what fruits did I buy from the grocery store on 2014/10/24?\", \"clementines, mandarins\"], [\"what drinks did I buy from the grocery store on 2014/10/24?\", \"mineral water, milk, sports drinks, soda\"], [\"what toiletries did I buy from the grocery store on 2014/10/24?\", \"mouth wash, shaving cream, toothbrush\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7324\", \"logical_representation\": [\"2014/10/24\", \"lunch\", \"sandwich\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Carter, Kayden, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/10/24?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2014/10/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7325\", \"logical_representation\": [\"2014/10/24\", \"Eva, Rylee\", \"late in the evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Eva, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee late in the evening on 2014/10/24?\", \"23 minutes\"], [\"who did I talk to on 2014/10/24?\", \"Eva, Rylee\"], [\"Did I talk to Eva, Rylee on 2014/10/24?\", \"yes\"], [\"Did I talk to anyone on 2014/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7326\", \"logical_representation\": [\"2014/10/24\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I watched a documentary for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/24?\", \"32 minutes\"], [\"what did I watch on tv on 2014/10/24?\", \"a documentary\"], [\"Did I watch tv on 2014/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/31\": {\"dating\": {\"eid\": \"e6155\", \"logical_representation\": [\"2014/10/31\", \"Willow\", \"a park\"], \"text_template_based\": \"On 2014/10/31, I took Willow on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/10/31\", \"Willow\"], [\"where did I go for the date on 2014/10/31\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7351\", \"logical_representation\": [\"2014/10/31\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/10/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/31?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7352\", \"logical_representation\": [\"2014/10/31\", \"lunch\", \"fish and chips\", \"Rylee, Lydia, Olivia, Claire, Eva, Nevaeh, Layla\"], \"text_template_based\": \"I had lunch with Rylee, Lydia, Olivia, Claire, Eva, Nevaeh, Layla. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/10/31?\", \"Rylee, Lydia, Olivia, Claire, Eva, Nevaeh, Layla\"], [\"what did I eat for lunch on 2014/10/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7353\", \"logical_representation\": [\"2014/10/31\", \"Olivia, Avery, Rylee, Eva\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Olivia, Avery, Rylee, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Rylee, Eva during lunch hours on 2014/10/31?\", \"37 minutes\"], [\"who did I talk to on 2014/10/31?\", \"Olivia, Avery, Rylee, Eva\"], [\"Did I talk to Olivia, Avery, Rylee, Eva on 2014/10/31?\", \"yes\"], [\"Did I talk to anyone on 2014/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7354\", \"logical_representation\": [\"2014/10/31\", \"Hazel\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Hazel for 10 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2014/10/31?\", \"10 minutes\"], [\"who did I talk to on 2014/10/31?\", \"Hazel\"], [\"Did I talk to Hazel on 2014/10/31?\", \"yes\"], [\"Did I talk to anyone on 2014/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7355\", \"logical_representation\": [\"2014/10/31\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/10/31?\", \"8 minutes\"], [\"what did I read on 2014/10/31?\", \"a book\"], [\"Did I read on 2014/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7356\", \"logical_representation\": [\"2014/10/31\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/31?\", \"46 minutes\"], [\"what did I watch on tv on 2014/10/31?\", \"news\"], [\"Did I watch tv on 2014/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/03\": {\"dating\": {\"eid\": \"e6156\", \"logical_representation\": [\"2014/11/03\", \"Nova\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Nova on 2014/11/03 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/11/03\", \"Nova\"], [\"where did I go for the date on 2014/11/03\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7367\", \"logical_representation\": [\"2014/11/03\", \"Lydia\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2014/11/03?\", \"30 minutes\"], [\"who did I talk to on 2014/11/03?\", \"Lydia\"], [\"Did I talk to Lydia on 2014/11/03?\", \"yes\"], [\"Did I talk to anyone on 2014/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7368\", \"logical_representation\": [\"2014/11/03\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/11/03?\", \"29 minutes\"], [\"what did I read on 2014/11/03?\", \"a book\"], [\"Did I read on 2014/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/30\": {\"hobbies\": {\"eid\": \"e6157\", \"logical_representation\": [\"2014/10/30\", \"I spent time meditation on 2014/10/30 with Claire.\", \"meditation\", \"Claire\"], \"text_template_based\": \"I spent time meditation on 2014/10/30 with Claire.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Claire?\", \"2014/10/30\"], [\"On 2014/10/30, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2014/10/30?\", \"Claire\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7347\", \"logical_representation\": [\"2014/10/30\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/10/30?\", \"Emily\"], [\"what did I eat for breakfast on 2014/10/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7348\", \"logical_representation\": [\"2014/10/30\", \"dinner\", \"sandwich\", \"Kinsley, Avery, Layla, Lydia, Nevaeh, Claire\"], \"text_template_based\": \"I had sandwich for dinner with Kinsley, Avery, Layla, Lydia, Nevaeh, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/10/30?\", \"Kinsley, Avery, Layla, Lydia, Nevaeh, Claire\"], [\"what did I eat for dinner on 2014/10/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7349\", \"logical_representation\": [\"2014/10/30\", \"Rylee, Hazel, Piper\", \"during lunch hours\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Rylee, Hazel, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel, Piper during lunch hours on 2014/10/30?\", \"30 minutes\"], [\"who did I talk to on 2014/10/30?\", \"Rylee, Hazel, Piper\"], [\"Did I talk to Rylee, Hazel, Piper on 2014/10/30?\", \"yes\"], [\"Did I talk to anyone on 2014/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7350\", \"logical_representation\": [\"2014/10/30\", \"Eva\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I talked to Eva for 25 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2014/10/30?\", \"25 minutes\"], [\"who did I talk to on 2014/10/30?\", \"Eva\"], [\"Did I talk to Eva on 2014/10/30?\", \"yes\"], [\"Did I talk to anyone on 2014/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/01\": {\"grocery\": {\"eid\": \"e6158\", \"logical_representation\": [\"2014/11/01\", \"I went grocery shopping. I bought some apples, mandarins, soda, chocolate milk, coffee, and conditioner\", \"apples, mandarins\", \"soda, chocolate milk, coffee\", \"conditioner\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, mandarins, soda, chocolate milk, coffee, and conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/11/01?\", \"apples, mandarins, soda, chocolate milk, coffee, and conditioner\"], [\"what fruits did I buy from the grocery store on 2014/11/01?\", \"apples, mandarins\"], [\"what drinks did I buy from the grocery store on 2014/11/01?\", \"soda, chocolate milk, coffee\"], [\"what toiletries did I buy from the grocery store on 2014/11/01?\", \"conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7357\", \"logical_representation\": [\"2014/11/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/11/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7358\", \"logical_representation\": [\"2014/11/01\", \"dinner\", \"steak\", \"Avery, Claire, Rylee, Piper, Kinsley\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7359\", \"logical_representation\": [\"2014/11/01\", \"Kinsley, Hazel\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel for 39 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel late in the evening on 2014/11/01?\", \"39 minutes\"], [\"who did I talk to on 2014/11/01?\", \"Kinsley, Hazel\"], [\"Did I talk to Kinsley, Hazel on 2014/11/01?\", \"yes\"], [\"Did I talk to anyone on 2014/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7360\", \"logical_representation\": [\"2014/11/01\", \"Olivia, Kinsley, Avery\", \"in the morning\", \"18 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley, Avery for 18 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Avery in the morning on 2014/11/01?\", \"18 minutes\"], [\"who did I talk to on 2014/11/01?\", \"Olivia, Kinsley, Avery\"], [\"Did I talk to Olivia, Kinsley, Avery on 2014/11/01?\", \"yes\"], [\"Did I talk to anyone on 2014/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7361\", \"logical_representation\": [\"2014/11/01\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/11/01?\", \"30 minutes\"], [\"what did I read on 2014/11/01?\", \"news\"], [\"Did I read on 2014/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/11\": {\"hobbies\": {\"eid\": \"e6159\", \"logical_representation\": [\"2014/11/11\", \"I spent time learning a language on 2014/11/11 with Benjamin, Avery.\", \"learning a language\", \"Benjamin, Avery\"], \"text_template_based\": \"I spent time learning a language on 2014/11/11 with Benjamin, Avery.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Benjamin, Avery?\", \"2014/11/11\"], [\"On 2014/11/11, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2014/11/11?\", \"Benjamin, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7394\", \"logical_representation\": [\"2014/11/11\", \"running\"], \"text_template_based\": \"I did running on 2014/11/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7395\", \"logical_representation\": [\"2014/11/11\", \"lunch\", \"a burger\", \"Carter\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7396\", \"logical_representation\": [\"2014/11/11\", \"dinner\", \"a burger\", \"Nora, Hazel, Kinsley, Piper, Olivia, Layla, Lydia, Eva, Nevaeh, Claire\"], \"text_template_based\": \"I had a burger for dinner with Nora, Hazel, Kinsley, Piper, Olivia, Layla, Lydia, Eva, Nevaeh, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/11/11?\", \"Nora, Hazel, Kinsley, Piper, Olivia, Layla, Lydia, Eva, Nevaeh, Claire\"], [\"what did I eat for dinner on 2014/11/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7397\", \"logical_representation\": [\"2014/11/11\", \"Olivia, Claire, Avery\", \"late in the evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Olivia, Claire, Avery for 23 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire, Avery late in the evening on 2014/11/11?\", \"23 minutes\"], [\"who did I talk to on 2014/11/11?\", \"Olivia, Claire, Avery\"], [\"Did I talk to Olivia, Claire, Avery on 2014/11/11?\", \"yes\"], [\"Did I talk to anyone on 2014/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7398\", \"logical_representation\": [\"2014/11/11\", \"news\", \"53 minutes\"], \"text_template_based\": \"I watched news for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/11?\", \"53 minutes\"], [\"what did I watch on tv on 2014/11/11?\", \"news\"], [\"Did I watch tv on 2014/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/14\": {\"dating\": {\"eid\": \"e6160\", \"logical_representation\": [\"2014/11/14\", \"Joshua\", \"a coffee Shop\"], \"text_template_based\": \"On 2014/11/14, I took Joshua on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/11/14\", \"Joshua\"], [\"where did I go for the date on 2014/11/14\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7408\", \"logical_representation\": [\"2014/11/14\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/11/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/14?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7409\", \"logical_representation\": [\"2014/11/14\", \"lunch\", \"sandwich\", \"Piper, Nora, Olivia, Avery, Eva, Nevaeh, Hazel, Rylee, Piper, Kinsley, Lydia, Claire\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7410\", \"logical_representation\": [\"2014/11/14\", \"dinner\", \"sushi\", \"Nora, Olivia, Rylee, Nevaeh, Kinsley, Lydia, Piper, Avery, Claire\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7411\", \"logical_representation\": [\"2014/11/14\", \"Nora\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Nora for 34 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2014/11/14?\", \"34 minutes\"], [\"who did I talk to on 2014/11/14?\", \"Nora\"], [\"Did I talk to Nora on 2014/11/14?\", \"yes\"], [\"Did I talk to anyone on 2014/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7412\", \"logical_representation\": [\"2014/11/14\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/14?\", \"46 minutes\"], [\"what did I watch on tv on 2014/11/14?\", \"a movie\"], [\"Did I watch tv on 2014/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/16\": {\"dating\": {\"eid\": \"e6161\", \"logical_representation\": [\"2014/11/16\", \"James\", \"a boba shop\"], \"text_template_based\": \"On 2014/11/16, I took James on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/11/16\", \"James\"], [\"where did I go for the date on 2014/11/16\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7418\", \"logical_representation\": [\"2014/11/16\", \"dinner\", \"steak\", \"Kayden\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7419\", \"logical_representation\": [\"2014/11/16\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I watched a documentary for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/16?\", \"51 minutes\"], [\"what did I watch on tv on 2014/11/16?\", \"a documentary\"], [\"Did I watch tv on 2014/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/17\": {\"grocery\": {\"eid\": \"e6162\", \"logical_representation\": [\"2014/11/17\", \"I bought some oranges, raspberries, pineapple juice, shampoo, conditioner online.\", \"oranges, raspberries\", \"pineapple juice\", \"shampoo, conditioner\", \"Jackson, Willow\"], \"text_template_based\": \"I bought some oranges, raspberries, pineapple juice, shampoo, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/11/17?\", \"oranges, raspberries, pineapple juice, and shampoo, conditioner\"], [\"what fruits did I buy online on 2014/11/17?\", \"oranges, raspberries\"], [\"what drinks did I buy online on 2014/11/17?\", \"pineapple juice\"], [\"what toiletries did I buy online on 2014/11/17?\", \"shampoo, conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7420\", \"logical_representation\": [\"2014/11/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/11/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7421\", \"logical_representation\": [\"2014/11/17\", \"dinner\", \"pasta\", \"Carter, Kayden\"], \"text_template_based\": \"I had pasta for dinner with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/11/17?\", \"Carter, Kayden\"], [\"what did I eat for dinner on 2014/11/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7422\", \"logical_representation\": [\"2014/11/17\", \"Piper, Piper, Avery, Lydia\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Piper, Piper, Avery, Lydia for 34 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Avery, Lydia in the early evening on 2014/11/17?\", \"34 minutes\"], [\"who did I talk to on 2014/11/17?\", \"Piper, Piper, Avery, Lydia\"], [\"Did I talk to Piper, Piper, Avery, Lydia on 2014/11/17?\", \"yes\"], [\"Did I talk to anyone on 2014/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7423\", \"logical_representation\": [\"2014/11/17\", \"Kinsley\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Kinsley for 29 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the late afternoon on 2014/11/17?\", \"29 minutes\"], [\"who did I talk to on 2014/11/17?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2014/11/17?\", \"yes\"], [\"Did I talk to anyone on 2014/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7424\", \"logical_representation\": [\"2014/11/17\", \"a documentary\", \"12 minutes\"], \"text_template_based\": \"I watched a documentary for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/17?\", \"12 minutes\"], [\"what did I watch on tv on 2014/11/17?\", \"a documentary\"], [\"Did I watch tv on 2014/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/25\": {\"dating\": {\"eid\": \"e6163\", \"logical_representation\": [\"2014/11/25\", \"Everett\", \"a boba shop\"], \"text_template_based\": \"On 2014/11/25, I took Everett on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/11/25\", \"Everett\"], [\"where did I go for the date on 2014/11/25\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6164\", \"logical_representation\": [\"2014/11/25\", \"I bought some mangos, chocolate milk, mineral water, mango juice, toothbrush, conditioner from the grocery store. I saw Jackson, Benjamin at the grocery store.\", \"mangos\", \"chocolate milk, mineral water, mango juice\", \"toothbrush, conditioner\", \"Jackson, Benjamin\"], \"text_template_based\": \"I bought some mangos, chocolate milk, mineral water, mango juice, toothbrush, conditioner from the grocery store. I saw Jackson, Benjamin at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/11/25?\", \"mangos, chocolate milk, mineral water, mango juice, and toothbrush, conditioner\"], [\"what fruits did I buy from the grocery store on 2014/11/25?\", \"mangos\"], [\"what drinks did I buy from the grocery store on 2014/11/25?\", \"chocolate milk, mineral water, mango juice\"], [\"what toiletries did I buy from the grocery store on 2014/11/25?\", \"toothbrush, conditioner\"], [\"who did I see at the grocery store on 2014/11/25?\", \"Jackson, Benjamin\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7448\", \"logical_representation\": [\"2014/11/25\", \"dinner\", \"steak\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7449\", \"logical_representation\": [\"2014/11/25\", \"Nevaeh, Olivia, Claire\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Claire for 44 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Claire in the morning on 2014/11/25?\", \"44 minutes\"], [\"who did I talk to on 2014/11/25?\", \"Nevaeh, Olivia, Claire\"], [\"Did I talk to Nevaeh, Olivia, Claire on 2014/11/25?\", \"yes\"], [\"Did I talk to anyone on 2014/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7450\", \"logical_representation\": [\"2014/11/25\", \"Olivia, Piper, Avery\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Olivia, Piper, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Avery in the morning on 2014/11/25?\", \"22 minutes\"], [\"who did I talk to on 2014/11/25?\", \"Olivia, Piper, Avery\"], [\"Did I talk to Olivia, Piper, Avery on 2014/11/25?\", \"yes\"], [\"Did I talk to anyone on 2014/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7451\", \"logical_representation\": [\"2014/11/25\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/11/25?\", \"14 minutes\"], [\"what did I read on 2014/11/25?\", \"social media\"], [\"Did I read on 2014/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7452\", \"logical_representation\": [\"2014/11/25\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/25?\", \"54 minutes\"], [\"what did I watch on tv on 2014/11/25?\", \"a tv series\"], [\"Did I watch tv on 2014/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/02\": {\"bake\": {\"eid\": \"e6165\", \"logical_representation\": [\"2014/12/02\", \"I really enjoyed baking blackberry-raspberry skillet cobbler on 2014/12/02 with Carter, Kayden at my place\", \"bake\", \"blackberry-raspberry skillet cobbler\", \"Carter, Kayden\", \"my place\"], \"text_template_based\": \"I really enjoyed baking blackberry-raspberry skillet cobbler on 2014/12/02 with Carter, Kayden at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  blackberry-raspberry skillet cobbler with Carter, Kayden?\", \"2014/12/02\"], [\"what did I  on 2014/12/02?\", \"blackberry-raspberry skillet cobbler\"], [\"who was I with when I  blackberry-raspberry skillet cobbler on 2014/12/02?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6166\", \"logical_representation\": [\"2014/12/02\", \"I went grocery shopping with Carter, Andrew, Kayden, Emily. I bought some clementines, cherres, apricots, blackberries, pineapple juice, sports drinks, apple juice, coffee, and conditioner, paper towel, body lotion, mouth wash\", \"clementines, cherres, apricots, blackberries\", \"pineapple juice, sports drinks, apple juice, coffee\", \"conditioner, paper towel, body lotion, mouth wash\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping with Carter, Andrew, Kayden, Emily. I bought some clementines, cherres, apricots, blackberries, pineapple juice, sports drinks, apple juice, coffee, and conditioner, paper towel, body lotion, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/12/02?\", \"clementines, cherres, apricots, blackberries, pineapple juice, sports drinks, apple juice, coffee, and conditioner, paper towel, body lotion, mouth wash\"], [\"what fruits did I buy from the grocery store on 2014/12/02?\", \"clementines, cherres, apricots, blackberries\"], [\"what drinks did I buy from the grocery store on 2014/12/02?\", \"pineapple juice, sports drinks, apple juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2014/12/02?\", \"conditioner, paper towel, body lotion, mouth wash\"], [\"who was with me at the grocery store on 2014/12/02?\", \"Carter, Andrew, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7478\", \"logical_representation\": [\"2014/12/02\", \"dinner\", \"fish and chips\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had fish and chips for dinner with Andrew, Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/12/02?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for dinner on 2014/12/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/12/05\": {\"hobbies\": {\"eid\": \"e6167\", \"logical_representation\": [\"2014/12/05\", \"I spent time meditation on 2014/12/05 with Eva, Hazel, Piper.\", \"meditation\", \"Eva, Hazel, Piper\"], \"text_template_based\": \"I spent time meditation on 2014/12/05 with Eva, Hazel, Piper.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Eva, Hazel, Piper?\", \"2014/12/05\"], [\"On 2014/12/05, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2014/12/05?\", \"Eva, Hazel, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7485\", \"logical_representation\": [\"2014/12/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/12/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7486\", \"logical_representation\": [\"2014/12/05\", \"breakfast\", \"cereals\", \"Jackson\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/05\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7487\", \"logical_representation\": [\"2014/12/05\", \"lunch\", \"pasta\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/12/05?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2014/12/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7488\", \"logical_representation\": [\"2014/12/05\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/12/05?\", \"25 minutes\"], [\"what did I read on 2014/12/05?\", \"a book\"], [\"Did I read on 2014/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7489\", \"logical_representation\": [\"2014/12/05\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/05?\", \"30 minutes\"], [\"what did I watch on tv on 2014/12/05?\", \"news\"], [\"Did I watch tv on 2014/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/08\": {\"hobbies\": {\"eid\": \"e6168\", \"logical_representation\": [\"2014/12/08\", \"I spent some time meditation on 2014/12/08.\", \"meditation\", \"Claire, Hazel\"], \"text_template_based\": \"I spent some time meditation on 2014/12/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2014/12/08\"], [\"On 2014/12/08, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6170\", \"logical_representation\": [\"2014/12/08\", \"I went grocery shopping. I bought some mandarins, pineapples, raspberries, guava juice, coffee, sports drinks, tea, and toothbrush\", \"mandarins, pineapples, raspberries\", \"guava juice, coffee, sports drinks, tea\", \"toothbrush\", \"Lydia, Piper, Avery, Nora, Olivia, Nevaeh, Hazel, Kinsley, Piper, Eva, Claire\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, pineapples, raspberries, guava juice, coffee, sports drinks, tea, and toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/12/08?\", \"mandarins, pineapples, raspberries, guava juice, coffee, sports drinks, tea, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2014/12/08?\", \"mandarins, pineapples, raspberries\"], [\"what drinks did I buy from the grocery store on 2014/12/08?\", \"guava juice, coffee, sports drinks, tea\"], [\"what toiletries did I buy from the grocery store on 2014/12/08?\", \"toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7495\", \"logical_representation\": [\"2014/12/08\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/12/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/08?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2014/12/04\": {\"grocery\": {\"eid\": \"e6169\", \"logical_representation\": [\"2014/12/04\", \"I went grocery shopping with Nora. I bought some strawberries, blackberries, apricots, watermelons, tea, mango juice, and mouthwash, shampoo\", \"strawberries, blackberries, apricots, watermelons\", \"tea, mango juice\", \"mouthwash, shampoo\", \"Nora\"], \"text_template_based\": \"I went grocery shopping with Nora. I bought some strawberries, blackberries, apricots, watermelons, tea, mango juice, and mouthwash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/12/04?\", \"strawberries, blackberries, apricots, watermelons, tea, mango juice, and mouthwash, shampoo\"], [\"what fruits did I buy from the grocery store on 2014/12/04?\", \"strawberries, blackberries, apricots, watermelons\"], [\"what drinks did I buy from the grocery store on 2014/12/04?\", \"tea, mango juice\"], [\"what toiletries did I buy from the grocery store on 2014/12/04?\", \"mouthwash, shampoo\"], [\"who was with me at the grocery store on 2014/12/04?\", \"Nora\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7484\", \"logical_representation\": [\"2014/12/04\", \"lunch\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had a burger for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/12/04?\", \"Andrew\"], [\"what did I eat for lunch on 2014/12/04\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2014/12/11\": {\"grocery\": {\"eid\": \"e6171\", \"logical_representation\": [\"2014/12/11\", \"I went grocery shopping. I bought some clementines, raspberries, soda, chocolate milk, and mouthwash, body lotion\", \"clementines, raspberries\", \"soda, chocolate milk\", \"mouthwash, body lotion\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some clementines, raspberries, soda, chocolate milk, and mouthwash, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/12/11?\", \"clementines, raspberries, soda, chocolate milk, and mouthwash, body lotion\"], [\"what fruits did I buy from the grocery store on 2014/12/11?\", \"clementines, raspberries\"], [\"what drinks did I buy from the grocery store on 2014/12/11?\", \"soda, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2014/12/11?\", \"mouthwash, body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7504\", \"logical_representation\": [\"2014/12/11\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/12/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/11?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7505\", \"logical_representation\": [\"2014/12/11\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had oatmeal for breakfast with Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/12/11?\", \"Emily, Kayden, Carter\"], [\"what did I eat for breakfast on 2014/12/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7506\", \"logical_representation\": [\"2014/12/11\", \"Piper, Nevaeh, Nora, Olivia\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Nora, Olivia for 41 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Nora, Olivia during lunch hours on 2014/12/11?\", \"41 minutes\"], [\"who did I talk to on 2014/12/11?\", \"Piper, Nevaeh, Nora, Olivia\"], [\"Did I talk to Piper, Nevaeh, Nora, Olivia on 2014/12/11?\", \"yes\"], [\"Did I talk to anyone on 2014/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7507\", \"logical_representation\": [\"2014/12/11\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/12/11?\", \"9 minutes\"], [\"what did I read on 2014/12/11?\", \"news\"], [\"Did I read on 2014/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/15\": {\"grocery\": {\"eid\": \"e6172\", \"logical_representation\": [\"2014/12/15\", \"I bought some blackberries, apples, pineapples, coffee, mineral water, facial wash online.\", \"blackberries, apples, pineapples\", \"coffee, mineral water\", \"facial wash\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I bought some blackberries, apples, pineapples, coffee, mineral water, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/12/15?\", \"blackberries, apples, pineapples, coffee, mineral water, and facial wash\"], [\"what fruits did I buy online on 2014/12/15?\", \"blackberries, apples, pineapples\"], [\"what drinks did I buy online on 2014/12/15?\", \"coffee, mineral water\"], [\"what toiletries did I buy online on 2014/12/15?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7520\", \"logical_representation\": [\"2014/12/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/12/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7521\", \"logical_representation\": [\"2014/12/15\", \"lunch\", \"sushi\", \"Rylee, Avery, Nora, Lydia, Claire, Piper, Hazel\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/12/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7522\", \"logical_representation\": [\"2014/12/15\", \"dinner\", \"indian food\", \"Benjamin, Avery\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/12/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7523\", \"logical_representation\": [\"2014/12/15\", \"Rylee, Layla, Nora, Hazel\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Rylee, Layla, Nora, Hazel for 31 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla, Nora, Hazel late in the evening on 2014/12/15?\", \"31 minutes\"], [\"who did I talk to on 2014/12/15?\", \"Rylee, Layla, Nora, Hazel\"], [\"Did I talk to Rylee, Layla, Nora, Hazel on 2014/12/15?\", \"yes\"], [\"Did I talk to anyone on 2014/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7524\", \"logical_representation\": [\"2014/12/15\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/12/15?\", \"5 minutes\"], [\"what did I read on 2014/12/15?\", \"social media\"], [\"Did I read on 2014/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/21\": {\"bake\": {\"eid\": \"e6173\", \"logical_representation\": [\"2014/12/21\", \"I really enjoyed baking blackberry jam pie-crust straws on 2014/12/21 with Kayden, Emily at my place\", \"bake\", \"blackberry jam pie-crust straws\", \"Kayden, Emily\", \"my place\"], \"text_template_based\": \"I really enjoyed baking blackberry jam pie-crust straws on 2014/12/21 with Kayden, Emily at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  blackberry jam pie-crust straws with Kayden, Emily?\", \"2014/12/21\"], [\"what did I  on 2014/12/21?\", \"blackberry jam pie-crust straws\"], [\"who was I with when I  blackberry jam pie-crust straws on 2014/12/21?\", \"Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7542\", \"logical_representation\": [\"2014/12/21\", \"running\"], \"text_template_based\": \"I did running on 2014/12/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7543\", \"logical_representation\": [\"2014/12/21\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Avery, Willow. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/12/21?\", \"Jackson, Avery, Willow\"], [\"what did I eat for breakfast on 2014/12/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7544\", \"logical_representation\": [\"2014/12/21\", \"lunch\", \"steak\", \"Hazel, Lydia, Eva, Piper, Nora, Piper, Olivia, Nevaeh, Layla, Claire\"], \"text_template_based\": \"I had steak for lunch with Hazel, Lydia, Eva, Piper, Nora, Piper, Olivia, Nevaeh, Layla, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/12/21?\", \"Hazel, Lydia, Eva, Piper, Nora, Piper, Olivia, Nevaeh, Layla, Claire\"], [\"what did I eat for lunch on 2014/12/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7545\", \"logical_representation\": [\"2014/12/21\", \"dinner\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had indian food for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/12/21?\", \"Emily\"], [\"what did I eat for dinner on 2014/12/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7546\", \"logical_representation\": [\"2014/12/21\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/12/21?\", \"53 minutes\"], [\"what did I read on 2014/12/21?\", \"social media\"], [\"Did I read on 2014/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7547\", \"logical_representation\": [\"2014/12/21\", \"a movie\", \"49 minutes\"], \"text_template_based\": \"I watched a movie for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/21?\", \"49 minutes\"], [\"what did I watch on tv on 2014/12/21?\", \"a movie\"], [\"Did I watch tv on 2014/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/22\": {\"grocery\": {\"eid\": \"e6174\", \"logical_representation\": [\"2014/12/22\", \"I bought some strawberries, guava juice, mango juice, apple juice, coffee, shampoo, toothbrush, mouthwash from the grocery store. I saw Carter at the grocery store.\", \"strawberries\", \"guava juice, mango juice, apple juice, coffee\", \"shampoo, toothbrush, mouthwash\", \"Carter\"], \"text_template_based\": \"I bought some strawberries, guava juice, mango juice, apple juice, coffee, shampoo, toothbrush, mouthwash from the grocery store. I saw Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/12/22?\", \"strawberries, guava juice, mango juice, apple juice, coffee, and shampoo, toothbrush, mouthwash\"], [\"what fruits did I buy from the grocery store on 2014/12/22?\", \"strawberries\"], [\"what drinks did I buy from the grocery store on 2014/12/22?\", \"guava juice, mango juice, apple juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2014/12/22?\", \"shampoo, toothbrush, mouthwash\"], [\"who did I see at the grocery store on 2014/12/22?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7548\", \"logical_representation\": [\"2014/12/22\", \"lunch\", \"a burger\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had a burger for lunch with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/12/22?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2014/12/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7549\", \"logical_representation\": [\"2014/12/22\", \"dinner\", \"tacos\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/12/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7550\", \"logical_representation\": [\"2014/12/22\", \"Eva, Nora, Rylee\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Eva, Nora, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Rylee in the morning on 2014/12/22?\", \"55 minutes\"], [\"who did I talk to on 2014/12/22?\", \"Eva, Nora, Rylee\"], [\"Did I talk to Eva, Nora, Rylee on 2014/12/22?\", \"yes\"], [\"Did I talk to anyone on 2014/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/25\": {\"grocery\": {\"eid\": \"e6175\", \"logical_representation\": [\"2014/12/25\", \"I bought some pineapples, watermelons, clementines, chocolate milk, sports drinks, apple juice, orange juice, paper towel, facial wash, shaving cream, shampoo online.\", \"pineapples, watermelons, clementines\", \"chocolate milk, sports drinks, apple juice, orange juice\", \"paper towel, facial wash, shaving cream, shampoo\", \"Kayden, Carter\"], \"text_template_based\": \"I bought some pineapples, watermelons, clementines, chocolate milk, sports drinks, apple juice, orange juice, paper towel, facial wash, shaving cream, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/12/25?\", \"pineapples, watermelons, clementines, chocolate milk, sports drinks, apple juice, orange juice, and paper towel, facial wash, shaving cream, shampoo\"], [\"what fruits did I buy online on 2014/12/25?\", \"pineapples, watermelons, clementines\"], [\"what drinks did I buy online on 2014/12/25?\", \"chocolate milk, sports drinks, apple juice, orange juice\"], [\"what toiletries did I buy online on 2014/12/25?\", \"paper towel, facial wash, shaving cream, shampoo\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7558\", \"logical_representation\": [\"2014/12/25\", \"breakfast\", \"pancakes\", \"Eva, Nevaeh, Hazel, Lydia, Rylee, Layla\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/25\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7559\", \"logical_representation\": [\"2014/12/25\", \"lunch\", \"a burger\", \"Emily, Andrew\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/12/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7560\", \"logical_representation\": [\"2014/12/25\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/12/25?\", \"35 minutes\"], [\"what did I read on 2014/12/25?\", \"news\"], [\"Did I read on 2014/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7561\", \"logical_representation\": [\"2014/12/25\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/25?\", \"25 minutes\"], [\"what did I watch on tv on 2014/12/25?\", \"a movie\"], [\"Did I watch tv on 2014/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/27\": {\"grocery\": {\"eid\": \"e6176\", \"logical_representation\": [\"2014/12/27\", \"I went grocery shopping. I bought some apricots, blueberries, peaches, coffee, guava juice, and shaving cream, shampoo, facial wash\", \"apricots, blueberries, peaches\", \"coffee, guava juice\", \"shaving cream, shampoo, facial wash\", \"Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, blueberries, peaches, coffee, guava juice, and shaving cream, shampoo, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/12/27?\", \"apricots, blueberries, peaches, coffee, guava juice, and shaving cream, shampoo, facial wash\"], [\"what fruits did I buy from the grocery store on 2014/12/27?\", \"apricots, blueberries, peaches\"], [\"what drinks did I buy from the grocery store on 2014/12/27?\", \"coffee, guava juice\"], [\"what toiletries did I buy from the grocery store on 2014/12/27?\", \"shaving cream, shampoo, facial wash\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7566\", \"logical_representation\": [\"2014/12/27\", \"dinner\", \"tacos\", \"Benjamin, Willow\"], \"text_template_based\": \"I had dinner with Benjamin, Willow. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/12/27?\", \"Benjamin, Willow\"], [\"what did I eat for dinner on 2014/12/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7567\", \"logical_representation\": [\"2014/12/27\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/12/27?\", \"18 minutes\"], [\"what did I read on 2014/12/27?\", \"social media\"], [\"Did I read on 2014/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7568\", \"logical_representation\": [\"2014/12/27\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I watched a documentary for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/27?\", \"37 minutes\"], [\"what did I watch on tv on 2014/12/27?\", \"a documentary\"], [\"Did I watch tv on 2014/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/31\": {\"hobbies\": {\"eid\": \"e6177\", \"logical_representation\": [\"2014/12/31\", \"I really enjoyed meditation on 2014/12/31\", \"meditation\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I really enjoyed meditation on 2014/12/31\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2014/12/31\"], [\"On 2014/12/31, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6178\", \"logical_representation\": [\"2014/12/31\", \"I went grocery shopping. I bought some blueberries, clementines, oranges, bananas, guava juice, soda, pineapple juice, and body lotion\", \"blueberries, clementines, oranges, bananas\", \"guava juice, soda, pineapple juice\", \"body lotion\", \"Hazel, Avery, Piper, Kinsley, Olivia, Piper\"], \"text_template_based\": \"I went grocery shopping. I bought some blueberries, clementines, oranges, bananas, guava juice, soda, pineapple juice, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/12/31?\", \"blueberries, clementines, oranges, bananas, guava juice, soda, pineapple juice, and body lotion\"], [\"what fruits did I buy from the grocery store on 2014/12/31?\", \"blueberries, clementines, oranges, bananas\"], [\"what drinks did I buy from the grocery store on 2014/12/31?\", \"guava juice, soda, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2014/12/31?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7579\", \"logical_representation\": [\"2014/12/31\", \"lunch\", \"a burger\", \"Lydia, Claire, Kinsley, Eva, Nora, Piper, Piper\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/12/31\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7580\", \"logical_representation\": [\"2014/12/31\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/12/31?\", \"19 minutes\"], [\"what did I read on 2014/12/31?\", \"social media\"], [\"Did I read on 2014/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/02\": {\"breakfast\": {\"eid\": \"e6181\", \"logical_representation\": [\"2014/01/02\", \"breakfast\", \"oatmeal\", \"Benjamin, Jackson\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/01/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6182\", \"logical_representation\": [\"2014/01/02\", \"lunch\", \"fish and chips\", \"Olivia, Nevaeh, Layla, Claire, Hazel\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/01/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6183\", \"logical_representation\": [\"2014/01/02\", \"Nevaeh, Layla, Avery\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Layla, Avery for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Avery in the early afternoon on 2014/01/02?\", \"42 minutes\"], [\"who did I talk to on 2014/01/02?\", \"Nevaeh, Layla, Avery\"], [\"Did I talk to Nevaeh, Layla, Avery on 2014/01/02?\", \"yes\"], [\"Did I talk to anyone on 2014/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6184\", \"logical_representation\": [\"2014/01/02\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/01/02?\", \"33 minutes\"], [\"what did I read on 2014/01/02?\", \"news\"], [\"Did I read on 2014/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/05\": {\"lunch\": {\"eid\": \"e6190\", \"logical_representation\": [\"2014/01/05\", \"lunch\", \"chinese food\", \"Avery\"], \"text_template_based\": \"I had lunch with Avery. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/01/05?\", \"Avery\"], [\"what did I eat for lunch on 2014/01/05\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6191\", \"logical_representation\": [\"2014/01/05\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/05?\", \"33 minutes\"], [\"what did I watch on tv on 2014/01/05?\", \"news\"], [\"Did I watch tv on 2014/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/06\": {\"exercise\": {\"eid\": \"e6192\", \"logical_representation\": [\"2014/01/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/01/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6193\", \"logical_representation\": [\"2014/01/06\", \"breakfast\", \"oatmeal\", \"Avery, Olivia, Nevaeh, Lydia, Eva, Hazel, Piper, Piper, Rylee\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/01/06\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6194\", \"logical_representation\": [\"2014/01/06\", \"dinner\", \"a burger\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/06\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2014/01/08\": {\"breakfast\": {\"eid\": \"e6200\", \"logical_representation\": [\"2014/01/08\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Emily, Carter. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/01/08?\", \"Kayden, Emily, Carter\"], [\"what did I eat for breakfast on 2014/01/08\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6201\", \"logical_representation\": [\"2014/01/08\", \"Nevaeh, Nora, Lydia\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Nevaeh, Nora, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Lydia in the early afternoon on 2014/01/08?\", \"36 minutes\"], [\"who did I talk to on 2014/01/08?\", \"Nevaeh, Nora, Lydia\"], [\"Did I talk to Nevaeh, Nora, Lydia on 2014/01/08?\", \"yes\"], [\"Did I talk to anyone on 2014/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6202\", \"logical_representation\": [\"2014/01/08\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I watched a documentary for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/08?\", \"54 minutes\"], [\"what did I watch on tv on 2014/01/08?\", \"a documentary\"], [\"Did I watch tv on 2014/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/09\": {\"dinner\": {\"eid\": \"e6203\", \"logical_representation\": [\"2014/01/09\", \"dinner\", \"steak\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6204\", \"logical_representation\": [\"2014/01/09\", \"Nevaeh, Kinsley\", \"during lunch hours\", \"16 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Kinsley for 16 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley during lunch hours on 2014/01/09?\", \"16 minutes\"], [\"who did I talk to on 2014/01/09?\", \"Nevaeh, Kinsley\"], [\"Did I talk to Nevaeh, Kinsley on 2014/01/09?\", \"yes\"], [\"Did I talk to anyone on 2014/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/11\": {\"exercise\": {\"eid\": \"e6210\", \"logical_representation\": [\"2014/01/11\", \"running\"], \"text_template_based\": \"I did running on 2014/01/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6211\", \"logical_representation\": [\"2014/01/11\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/01/11\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6212\", \"logical_representation\": [\"2014/01/11\", \"lunch\", \"indian food\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had indian food for lunch with Kayden, Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/01/11?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for lunch on 2014/01/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6213\", \"logical_representation\": [\"2014/01/11\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/01/11?\", \"35 minutes\"], [\"what did I read on 2014/01/11?\", \"news\"], [\"Did I read on 2014/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/12\": {\"exercise\": {\"eid\": \"e6214\", \"logical_representation\": [\"2014/01/12\", \"running\"], \"text_template_based\": \"I did running on 2014/01/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/12?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6215\", \"logical_representation\": [\"2014/01/12\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/01/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6216\", \"logical_representation\": [\"2014/01/12\", \"dinner\", \"steak\", \"Benjamin\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/12\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2014/01/19\": {\"breakfast\": {\"eid\": \"e6240\", \"logical_representation\": [\"2014/01/19\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Claire, Layla, Hazel, Olivia\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/01/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6241\", \"logical_representation\": [\"2014/01/19\", \"Hazel, Piper, Rylee, Avery\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Hazel, Piper, Rylee, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Rylee, Avery late in the evening on 2014/01/19?\", \"13 minutes\"], [\"who did I talk to on 2014/01/19?\", \"Hazel, Piper, Rylee, Avery\"], [\"Did I talk to Hazel, Piper, Rylee, Avery on 2014/01/19?\", \"yes\"], [\"Did I talk to anyone on 2014/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6242\", \"logical_representation\": [\"2014/01/19\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/01/19?\", \"55 minutes\"], [\"what did I read on 2014/01/19?\", \"social media\"], [\"Did I read on 2014/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6243\", \"logical_representation\": [\"2014/01/19\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I watched a documentary for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/19?\", \"10 minutes\"], [\"what did I watch on tv on 2014/01/19?\", \"a documentary\"], [\"Did I watch tv on 2014/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/24\": {\"exercise\": {\"eid\": \"e6262\", \"logical_representation\": [\"2014/01/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/01/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6263\", \"logical_representation\": [\"2014/01/24\", \"lunch\", \"pasta\", \"Avery, Olivia, Kinsley, Lydia, Piper, Hazel\"], \"text_template_based\": \"I had lunch with Avery, Olivia, Kinsley, Lydia, Piper, Hazel. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/01/24?\", \"Avery, Olivia, Kinsley, Lydia, Piper, Hazel\"], [\"what did I eat for lunch on 2014/01/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6264\", \"logical_representation\": [\"2014/01/24\", \"dinner\", \"pasta\", \"Olivia, Rylee, Claire, Avery, Nevaeh, Piper\"], \"text_template_based\": \"I had dinner with Olivia, Rylee, Claire, Avery, Nevaeh, Piper. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/01/24?\", \"Olivia, Rylee, Claire, Avery, Nevaeh, Piper\"], [\"what did I eat for dinner on 2014/01/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6265\", \"logical_representation\": [\"2014/01/24\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/24?\", \"5 minutes\"], [\"what did I watch on tv on 2014/01/24?\", \"a movie\"], [\"Did I watch tv on 2014/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/26\": {\"breakfast\": {\"eid\": \"e6270\", \"logical_representation\": [\"2014/01/26\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Lydia, Avery, Piper, Claire\"], \"text_template_based\": \"I had breakfast with Kinsley, Lydia, Avery, Piper, Claire. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/01/26?\", \"Kinsley, Lydia, Avery, Piper, Claire\"], [\"what did I eat for breakfast on 2014/01/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6271\", \"logical_representation\": [\"2014/01/26\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/01/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6272\", \"logical_representation\": [\"2014/01/26\", \"dinner\", \"tacos\", \"Avery\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/26\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2014/01/27\": {\"lunch\": {\"eid\": \"e6273\", \"logical_representation\": [\"2014/01/27\", \"lunch\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/01/27?\", \"Andrew\"], [\"what did I eat for lunch on 2014/01/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6274\", \"logical_representation\": [\"2014/01/27\", \"dinner\", \"fish and chips\", \"Nevaeh\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6275\", \"logical_representation\": [\"2014/01/27\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/01/27?\", \"11 minutes\"], [\"what did I read on 2014/01/27?\", \"news\"], [\"Did I read on 2014/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/28\": {\"exercise\": {\"eid\": \"e6276\", \"logical_representation\": [\"2014/01/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/01/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6277\", \"logical_representation\": [\"2014/01/28\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/01/28?\", \"Avery, Willow, Benjamin, Jackson\"], [\"what did I eat for breakfast on 2014/01/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6278\", \"logical_representation\": [\"2014/01/28\", \"dinner\", \"chinese food\", \"Willow\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2014/01/30\": {\"exercise\": {\"eid\": \"e6282\", \"logical_representation\": [\"2014/01/30\", \"running\"], \"text_template_based\": \"I did running on 2014/01/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6283\", \"logical_representation\": [\"2014/01/30\", \"lunch\", \"a burger\", \"Jackson, Avery\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/01/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6284\", \"logical_representation\": [\"2014/01/30\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/01/31\": {\"exercise\": {\"eid\": \"e6285\", \"logical_representation\": [\"2014/01/31\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/01/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/31?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6286\", \"logical_representation\": [\"2014/01/31\", \"Nora, Piper, Olivia\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Olivia for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Olivia late in the evening on 2014/01/31?\", \"18 minutes\"], [\"who did I talk to on 2014/01/31?\", \"Nora, Piper, Olivia\"], [\"Did I talk to Nora, Piper, Olivia on 2014/01/31?\", \"yes\"], [\"Did I talk to anyone on 2014/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6287\", \"logical_representation\": [\"2014/01/31\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/01/31?\", \"6 minutes\"], [\"what did I read on 2014/01/31?\", \"news\"], [\"Did I read on 2014/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/02\": {\"lunch\": {\"eid\": \"e6291\", \"logical_representation\": [\"2014/02/02\", \"lunch\", \"fish and chips\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/02/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6292\", \"logical_representation\": [\"2014/02/02\", \"dinner\", \"pasta\", \"Olivia, Kinsley, Rylee, Piper, Eva, Nevaeh, Lydia, Hazel, Piper, Nora, Claire, Layla, Avery\"], \"text_template_based\": \"I had dinner with Olivia, Kinsley, Rylee, Piper, Eva, Nevaeh, Lydia, Hazel, Piper, Nora, Claire, Layla, Avery. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/02?\", \"Olivia, Kinsley, Rylee, Piper, Eva, Nevaeh, Lydia, Hazel, Piper, Nora, Claire, Layla, Avery\"], [\"what did I eat for dinner on 2014/02/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6293\", \"logical_representation\": [\"2014/02/02\", \"Kinsley, Olivia, Hazel, Claire\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Kinsley, Olivia, Hazel, Claire for 15 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Hazel, Claire in the early evening on 2014/02/02?\", \"15 minutes\"], [\"who did I talk to on 2014/02/02?\", \"Kinsley, Olivia, Hazel, Claire\"], [\"Did I talk to Kinsley, Olivia, Hazel, Claire on 2014/02/02?\", \"yes\"], [\"Did I talk to anyone on 2014/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6294\", \"logical_representation\": [\"2014/02/02\", \"Olivia, Hazel, Nora\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Olivia, Hazel, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Nora in the late afternoon on 2014/02/02?\", \"44 minutes\"], [\"who did I talk to on 2014/02/02?\", \"Olivia, Hazel, Nora\"], [\"Did I talk to Olivia, Hazel, Nora on 2014/02/02?\", \"yes\"], [\"Did I talk to anyone on 2014/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6295\", \"logical_representation\": [\"2014/02/02\", \"a tv series\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/02?\", \"44 minutes\"], [\"what did I watch on tv on 2014/02/02?\", \"a tv series\"], [\"Did I watch tv on 2014/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/03\": {\"exercise\": {\"eid\": \"e6296\", \"logical_representation\": [\"2014/02/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/02/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6297\", \"logical_representation\": [\"2014/02/03\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/02/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6298\", \"logical_representation\": [\"2014/02/03\", \"lunch\", \"indian food\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/02/03?\", \"Carter, Kayden\"], [\"what did I eat for lunch on 2014/02/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6299\", \"logical_representation\": [\"2014/02/03\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/02/03?\", \"22 minutes\"], [\"what did I read on 2014/02/03?\", \"news\"], [\"Did I read on 2014/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6300\", \"logical_representation\": [\"2014/02/03\", \"a tv series\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/03?\", \"46 minutes\"], [\"what did I watch on tv on 2014/02/03?\", \"a tv series\"], [\"Did I watch tv on 2014/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/04\": {\"exercise\": {\"eid\": \"e6301\", \"logical_representation\": [\"2014/02/04\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/02/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/04?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6302\", \"logical_representation\": [\"2014/02/04\", \"lunch\", \"tacos\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/02/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6303\", \"logical_representation\": [\"2014/02/04\", \"Kinsley, Olivia\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Kinsley, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia during lunch hours on 2014/02/04?\", \"48 minutes\"], [\"who did I talk to on 2014/02/04?\", \"Kinsley, Olivia\"], [\"Did I talk to Kinsley, Olivia on 2014/02/04?\", \"yes\"], [\"Did I talk to anyone on 2014/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6304\", \"logical_representation\": [\"2014/02/04\", \"Avery, Eva\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Avery, Eva for 34 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva in the early afternoon on 2014/02/04?\", \"34 minutes\"], [\"who did I talk to on 2014/02/04?\", \"Avery, Eva\"], [\"Did I talk to Avery, Eva on 2014/02/04?\", \"yes\"], [\"Did I talk to anyone on 2014/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6305\", \"logical_representation\": [\"2014/02/04\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/02/04?\", \"46 minutes\"], [\"what did I read on 2014/02/04?\", \"a book\"], [\"Did I read on 2014/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6306\", \"logical_representation\": [\"2014/02/04\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/04?\", \"17 minutes\"], [\"what did I watch on tv on 2014/02/04?\", \"a tv series\"], [\"Did I watch tv on 2014/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/05\": {\"breakfast\": {\"eid\": \"e6307\", \"logical_representation\": [\"2014/02/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/02/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6308\", \"logical_representation\": [\"2014/02/05\", \"lunch\", \"steak\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had steak for lunch with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/02/05?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2014/02/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6309\", \"logical_representation\": [\"2014/02/05\", \"Avery, Rylee, Olivia, Nevaeh\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I talked to Avery, Rylee, Olivia, Nevaeh for 22 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee, Olivia, Nevaeh late in the evening on 2014/02/05?\", \"22 minutes\"], [\"who did I talk to on 2014/02/05?\", \"Avery, Rylee, Olivia, Nevaeh\"], [\"Did I talk to Avery, Rylee, Olivia, Nevaeh on 2014/02/05?\", \"yes\"], [\"Did I talk to anyone on 2014/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6310\", \"logical_representation\": [\"2014/02/05\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/02/05?\", \"36 minutes\"], [\"what did I read on 2014/02/05?\", \"a book\"], [\"Did I read on 2014/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/06\": {\"exercise\": {\"eid\": \"e6311\", \"logical_representation\": [\"2014/02/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/02/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6312\", \"logical_representation\": [\"2014/02/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had breakfast with Jackson, Benjamin, Avery. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/02/06?\", \"Jackson, Benjamin, Avery\"], [\"what did I eat for breakfast on 2014/02/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6313\", \"logical_representation\": [\"2014/02/06\", \"lunch\", \"a burger\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had a burger for lunch with Kayden, Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/02/06?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for lunch on 2014/02/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6314\", \"logical_representation\": [\"2014/02/06\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/06?\", \"43 minutes\"], [\"what did I watch on tv on 2014/02/06?\", \"news\"], [\"Did I watch tv on 2014/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/07\": {\"breakfast\": {\"eid\": \"e6315\", \"logical_representation\": [\"2014/02/07\", \"breakfast\", \"toast and cheese\", \"Jackson, Willow\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/02/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6316\", \"logical_representation\": [\"2014/02/07\", \"lunch\", \"chinese food\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/02/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6317\", \"logical_representation\": [\"2014/02/07\", \"dinner\", \"sandwich\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/02/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2014/02/08\": {\"exercise\": {\"eid\": \"e6318\", \"logical_representation\": [\"2014/02/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/02/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6319\", \"logical_representation\": [\"2014/02/08\", \"dinner\", \"steak\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had steak for dinner with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/08?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2014/02/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6320\", \"logical_representation\": [\"2014/02/08\", \"Eva, Layla\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Eva, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla in the early afternoon on 2014/02/08?\", \"40 minutes\"], [\"who did I talk to on 2014/02/08?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2014/02/08?\", \"yes\"], [\"Did I talk to anyone on 2014/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6321\", \"logical_representation\": [\"2014/02/08\", \"Kinsley\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Kinsley for 50 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2014/02/08?\", \"50 minutes\"], [\"who did I talk to on 2014/02/08?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2014/02/08?\", \"yes\"], [\"Did I talk to anyone on 2014/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/10\": {\"exercise\": {\"eid\": \"e6329\", \"logical_representation\": [\"2014/02/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/02/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6330\", \"logical_representation\": [\"2014/02/10\", \"breakfast\", \"peanut-butter-jam\", \"Willow\"], \"text_template_based\": \"I had breakfast with Willow. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/02/10?\", \"Willow\"], [\"what did I eat for breakfast on 2014/02/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6331\", \"logical_representation\": [\"2014/02/10\", \"lunch\", \"pasta\", \"Carter\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/02/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6332\", \"logical_representation\": [\"2014/02/10\", \"dinner\", \"a burger\", \"Nevaeh, Piper, Eva, Rylee, Piper, Hazel, Claire\"], \"text_template_based\": \"I had a burger for dinner with Nevaeh, Piper, Eva, Rylee, Piper, Hazel, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/10?\", \"Nevaeh, Piper, Eva, Rylee, Piper, Hazel, Claire\"], [\"what did I eat for dinner on 2014/02/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6333\", \"logical_representation\": [\"2014/02/10\", \"Layla, Lydia\", \"in the early evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Layla, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia in the early evening on 2014/02/10?\", \"22 minutes\"], [\"who did I talk to on 2014/02/10?\", \"Layla, Lydia\"], [\"Did I talk to Layla, Lydia on 2014/02/10?\", \"yes\"], [\"Did I talk to anyone on 2014/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6334\", \"logical_representation\": [\"2014/02/10\", \"Hazel, Nevaeh, Claire, Layla\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Hazel, Nevaeh, Claire, Layla for 26 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh, Claire, Layla in the late afternoon on 2014/02/10?\", \"26 minutes\"], [\"who did I talk to on 2014/02/10?\", \"Hazel, Nevaeh, Claire, Layla\"], [\"Did I talk to Hazel, Nevaeh, Claire, Layla on 2014/02/10?\", \"yes\"], [\"Did I talk to anyone on 2014/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6335\", \"logical_representation\": [\"2014/02/10\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/02/10?\", \"23 minutes\"], [\"what did I read on 2014/02/10?\", \"social media\"], [\"Did I read on 2014/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6336\", \"logical_representation\": [\"2014/02/10\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I watched a documentary for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/10?\", \"36 minutes\"], [\"what did I watch on tv on 2014/02/10?\", \"a documentary\"], [\"Did I watch tv on 2014/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/13\": {\"lunch\": {\"eid\": \"e6348\", \"logical_representation\": [\"2014/02/13\", \"lunch\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/02/13?\", \"Carter\"], [\"what did I eat for lunch on 2014/02/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6349\", \"logical_representation\": [\"2014/02/13\", \"dinner\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/02/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6350\", \"logical_representation\": [\"2014/02/13\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I watched a tv series for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/13?\", \"39 minutes\"], [\"what did I watch on tv on 2014/02/13?\", \"a tv series\"], [\"Did I watch tv on 2014/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/14\": {\"dinner\": {\"eid\": \"e6351\", \"logical_representation\": [\"2014/02/14\", \"dinner\", \"fish and chips\", \"Olivia, Claire\"], \"text_template_based\": \"I had fish and chips for dinner with Olivia, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/14?\", \"Olivia, Claire\"], [\"what did I eat for dinner on 2014/02/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6352\", \"logical_representation\": [\"2014/02/14\", \"Lydia, Nevaeh, Rylee, Hazel\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I talked to Lydia, Nevaeh, Rylee, Hazel for 48 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Rylee, Hazel in the morning on 2014/02/14?\", \"48 minutes\"], [\"who did I talk to on 2014/02/14?\", \"Lydia, Nevaeh, Rylee, Hazel\"], [\"Did I talk to Lydia, Nevaeh, Rylee, Hazel on 2014/02/14?\", \"yes\"], [\"Did I talk to anyone on 2014/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6353\", \"logical_representation\": [\"2014/02/14\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/02/14?\", \"35 minutes\"], [\"what did I read on 2014/02/14?\", \"social media\"], [\"Did I read on 2014/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/15\": {\"exercise\": {\"eid\": \"e6354\", \"logical_representation\": [\"2014/02/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/02/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6355\", \"logical_representation\": [\"2014/02/15\", \"lunch\", \"steak\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had lunch with Jackson, Avery, Willow. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/02/15?\", \"Jackson, Avery, Willow\"], [\"what did I eat for lunch on 2014/02/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6356\", \"logical_representation\": [\"2014/02/15\", \"dinner\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had indian food for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/15?\", \"Andrew\"], [\"what did I eat for dinner on 2014/02/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6357\", \"logical_representation\": [\"2014/02/15\", \"Piper\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Piper for 15 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2014/02/15?\", \"15 minutes\"], [\"who did I talk to on 2014/02/15?\", \"Piper\"], [\"Did I talk to Piper on 2014/02/15?\", \"yes\"], [\"Did I talk to anyone on 2014/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/18\": {\"exercise\": {\"eid\": \"e6367\", \"logical_representation\": [\"2014/02/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/02/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6368\", \"logical_representation\": [\"2014/02/18\", \"lunch\", \"steak\", \"Claire, Eva, Olivia, Piper, Avery, Lydia\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/02/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6369\", \"logical_representation\": [\"2014/02/18\", \"dinner\", \"sushi\", \"Avery\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/02/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6370\", \"logical_representation\": [\"2014/02/18\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/02/18?\", \"8 minutes\"], [\"what did I read on 2014/02/18?\", \"social media\"], [\"Did I read on 2014/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6371\", \"logical_representation\": [\"2014/02/18\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/18?\", \"26 minutes\"], [\"what did I watch on tv on 2014/02/18?\", \"a documentary\"], [\"Did I watch tv on 2014/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/20\": {\"exercise\": {\"eid\": \"e6377\", \"logical_representation\": [\"2014/02/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/02/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6378\", \"logical_representation\": [\"2014/02/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Nora, Rylee\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/02/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6379\", \"logical_representation\": [\"2014/02/20\", \"Lydia\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Lydia for 11 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2014/02/20?\", \"11 minutes\"], [\"who did I talk to on 2014/02/20?\", \"Lydia\"], [\"Did I talk to Lydia on 2014/02/20?\", \"yes\"], [\"Did I talk to anyone on 2014/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/21\": {\"exercise\": {\"eid\": \"e6380\", \"logical_representation\": [\"2014/02/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/02/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6381\", \"logical_representation\": [\"2014/02/21\", \"breakfast\", \"pancakes\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/02/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6382\", \"logical_representation\": [\"2014/02/21\", \"dinner\", \"sandwich\", \"Piper, Avery, Hazel\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/02/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6383\", \"logical_representation\": [\"2014/02/21\", \"Rylee, Lydia, Hazel, Olivia\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I talked to Rylee, Lydia, Hazel, Olivia for 31 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Hazel, Olivia in the morning on 2014/02/21?\", \"31 minutes\"], [\"who did I talk to on 2014/02/21?\", \"Rylee, Lydia, Hazel, Olivia\"], [\"Did I talk to Rylee, Lydia, Hazel, Olivia on 2014/02/21?\", \"yes\"], [\"Did I talk to anyone on 2014/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6384\", \"logical_representation\": [\"2014/02/21\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/02/21?\", \"48 minutes\"], [\"what did I read on 2014/02/21?\", \"social media\"], [\"Did I read on 2014/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/22\": {\"exercise\": {\"eid\": \"e6385\", \"logical_representation\": [\"2014/02/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/02/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6386\", \"logical_representation\": [\"2014/02/22\", \"breakfast\", \"pancakes\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/02/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6387\", \"logical_representation\": [\"2014/02/22\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/02/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6388\", \"logical_representation\": [\"2014/02/22\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/02/22?\", \"7 minutes\"], [\"what did I read on 2014/02/22?\", \"a book\"], [\"Did I read on 2014/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/24\": {\"lunch\": {\"eid\": \"e6393\", \"logical_representation\": [\"2014/02/24\", \"lunch\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I had fish and chips for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/02/24?\", \"Carter\"], [\"what did I eat for lunch on 2014/02/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6394\", \"logical_representation\": [\"2014/02/24\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had tacos for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/24?\", \"Andrew\"], [\"what did I eat for dinner on 2014/02/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6395\", \"logical_representation\": [\"2014/02/24\", \"Nevaeh, Olivia, Kinsley, Lydia\", \"during lunch hours\", \"15 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Kinsley, Lydia for 15 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Kinsley, Lydia during lunch hours on 2014/02/24?\", \"15 minutes\"], [\"who did I talk to on 2014/02/24?\", \"Nevaeh, Olivia, Kinsley, Lydia\"], [\"Did I talk to Nevaeh, Olivia, Kinsley, Lydia on 2014/02/24?\", \"yes\"], [\"Did I talk to anyone on 2014/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6396\", \"logical_representation\": [\"2014/02/24\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/02/24?\", \"45 minutes\"], [\"what did I read on 2014/02/24?\", \"social media\"], [\"Did I read on 2014/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6397\", \"logical_representation\": [\"2014/02/24\", \"a documentary\", \"29 minutes\"], \"text_template_based\": \"I watched a documentary for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/24?\", \"29 minutes\"], [\"what did I watch on tv on 2014/02/24?\", \"a documentary\"], [\"Did I watch tv on 2014/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/25\": {\"breakfast\": {\"eid\": \"e6398\", \"logical_representation\": [\"2014/02/25\", \"breakfast\", \"oatmeal\", \"Willow, Benjamin\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/02/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6399\", \"logical_representation\": [\"2014/02/25\", \"dinner\", \"tacos\", \"Piper, Eva\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/02/25\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6400\", \"logical_representation\": [\"2014/02/25\", \"Layla\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2014/02/25?\", \"7 minutes\"], [\"who did I talk to on 2014/02/25?\", \"Layla\"], [\"Did I talk to Layla on 2014/02/25?\", \"yes\"], [\"Did I talk to anyone on 2014/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6401\", \"logical_representation\": [\"2014/02/25\", \"Piper\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2014/02/25?\", \"27 minutes\"], [\"who did I talk to on 2014/02/25?\", \"Piper\"], [\"Did I talk to Piper on 2014/02/25?\", \"yes\"], [\"Did I talk to anyone on 2014/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6402\", \"logical_representation\": [\"2014/02/25\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/25?\", \"34 minutes\"], [\"what did I watch on tv on 2014/02/25?\", \"a tv series\"], [\"Did I watch tv on 2014/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/27\": {\"dinner\": {\"eid\": \"e6407\", \"logical_representation\": [\"2014/02/27\", \"dinner\", \"a burger\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/02/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6408\", \"logical_representation\": [\"2014/02/27\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/02/27?\", \"55 minutes\"], [\"what did I read on 2014/02/27?\", \"a book\"], [\"Did I read on 2014/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6409\", \"logical_representation\": [\"2014/02/27\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I watched a tv series for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/27?\", \"47 minutes\"], [\"what did I watch on tv on 2014/02/27?\", \"a tv series\"], [\"Did I watch tv on 2014/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/28\": {\"exercise\": {\"eid\": \"e6410\", \"logical_representation\": [\"2014/02/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/02/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6411\", \"logical_representation\": [\"2014/02/28\", \"breakfast\", \"pancakes\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/02/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6412\", \"logical_representation\": [\"2014/02/28\", \"Nevaeh, Claire, Nora, Rylee\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Claire, Nora, Rylee for 54 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire, Nora, Rylee in the early afternoon on 2014/02/28?\", \"54 minutes\"], [\"who did I talk to on 2014/02/28?\", \"Nevaeh, Claire, Nora, Rylee\"], [\"Did I talk to Nevaeh, Claire, Nora, Rylee on 2014/02/28?\", \"yes\"], [\"Did I talk to anyone on 2014/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6413\", \"logical_representation\": [\"2014/02/28\", \"Kinsley\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2014/02/28?\", \"21 minutes\"], [\"who did I talk to on 2014/02/28?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2014/02/28?\", \"yes\"], [\"Did I talk to anyone on 2014/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6414\", \"logical_representation\": [\"2014/02/28\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I watched a tv series for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/28?\", \"20 minutes\"], [\"what did I watch on tv on 2014/02/28?\", \"a tv series\"], [\"Did I watch tv on 2014/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/01\": {\"exercise\": {\"eid\": \"e6415\", \"logical_representation\": [\"2014/03/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/03/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6416\", \"logical_representation\": [\"2014/03/01\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/03/01?\", \"49 minutes\"], [\"what did I read on 2014/03/01?\", \"news\"], [\"Did I read on 2014/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/02\": {\"lunch\": {\"eid\": \"e6417\", \"logical_representation\": [\"2014/03/02\", \"lunch\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/03/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6418\", \"logical_representation\": [\"2014/03/02\", \"dinner\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/03/02?\", \"Andrew\"], [\"what did I eat for dinner on 2014/03/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6419\", \"logical_representation\": [\"2014/03/02\", \"Nora\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I talked to Nora for 18 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2014/03/02?\", \"18 minutes\"], [\"who did I talk to on 2014/03/02?\", \"Nora\"], [\"Did I talk to Nora on 2014/03/02?\", \"yes\"], [\"Did I talk to anyone on 2014/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6420\", \"logical_representation\": [\"2014/03/02\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I watched a documentary for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/02?\", \"40 minutes\"], [\"what did I watch on tv on 2014/03/02?\", \"a documentary\"], [\"Did I watch tv on 2014/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/03\": {\"exercise\": {\"eid\": \"e6421\", \"logical_representation\": [\"2014/03/03\", \"biking\"], \"text_template_based\": \"I did biking on 2014/03/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6422\", \"logical_representation\": [\"2014/03/03\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6423\", \"logical_representation\": [\"2014/03/03\", \"lunch\", \"tacos\", \"Avery, Willow\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/03/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6424\", \"logical_representation\": [\"2014/03/03\", \"dinner\", \"fish and chips\", \"Rylee, Lydia, Piper, Olivia, Claire, Hazel, Eva, Avery, Kinsley, Piper\"], \"text_template_based\": \"I had dinner with Rylee, Lydia, Piper, Olivia, Claire, Hazel, Eva, Avery, Kinsley, Piper. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/03/03?\", \"Rylee, Lydia, Piper, Olivia, Claire, Hazel, Eva, Avery, Kinsley, Piper\"], [\"what did I eat for dinner on 2014/03/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6425\", \"logical_representation\": [\"2014/03/03\", \"Piper\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I talked to Piper for 44 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2014/03/03?\", \"44 minutes\"], [\"who did I talk to on 2014/03/03?\", \"Piper\"], [\"Did I talk to Piper on 2014/03/03?\", \"yes\"], [\"Did I talk to anyone on 2014/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/06\": {\"exercise\": {\"eid\": \"e6430\", \"logical_representation\": [\"2014/03/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/03/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6431\", \"logical_representation\": [\"2014/03/06\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6432\", \"logical_representation\": [\"2014/03/06\", \"lunch\", \"chinese food\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/03/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6433\", \"logical_representation\": [\"2014/03/06\", \"a movie\", \"52 minutes\"], \"text_template_based\": \"I watched a movie for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/06?\", \"52 minutes\"], [\"what did I watch on tv on 2014/03/06?\", \"a movie\"], [\"Did I watch tv on 2014/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/08\": {\"exercise\": {\"eid\": \"e6434\", \"logical_representation\": [\"2014/03/08\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/03/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/08?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6435\", \"logical_representation\": [\"2014/03/08\", \"breakfast\", \"toast and cheese\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Andrew. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/03/08?\", \"Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2014/03/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6436\", \"logical_representation\": [\"2014/03/08\", \"dinner\", \"chinese food\", \"Rylee, Claire, Hazel, Avery, Olivia, Layla, Piper, Nora, Eva\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/03/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6437\", \"logical_representation\": [\"2014/03/08\", \"Piper\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2014/03/08?\", \"51 minutes\"], [\"who did I talk to on 2014/03/08?\", \"Piper\"], [\"Did I talk to Piper on 2014/03/08?\", \"yes\"], [\"Did I talk to anyone on 2014/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6438\", \"logical_representation\": [\"2014/03/08\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/03/08?\", \"51 minutes\"], [\"what did I read on 2014/03/08?\", \"a book\"], [\"Did I read on 2014/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6439\", \"logical_representation\": [\"2014/03/08\", \"news\", \"14 minutes\"], \"text_template_based\": \"I watched news for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/08?\", \"14 minutes\"], [\"what did I watch on tv on 2014/03/08?\", \"news\"], [\"Did I watch tv on 2014/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/09\": {\"lunch\": {\"eid\": \"e6440\", \"logical_representation\": [\"2014/03/09\", \"lunch\", \"sandwich\", \"Kayden, Carter\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/03/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6441\", \"logical_representation\": [\"2014/03/09\", \"dinner\", \"steak\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/03/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6442\", \"logical_representation\": [\"2014/03/09\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/09?\", \"21 minutes\"], [\"what did I watch on tv on 2014/03/09?\", \"a movie\"], [\"Did I watch tv on 2014/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/10\": {\"exercise\": {\"eid\": \"e6443\", \"logical_representation\": [\"2014/03/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/03/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6444\", \"logical_representation\": [\"2014/03/10\", \"breakfast\", \"pancakes\", \"Piper, Piper, Olivia, Rylee\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6445\", \"logical_representation\": [\"2014/03/10\", \"dinner\", \"pasta\", \"Benjamin, Avery\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/03/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6446\", \"logical_representation\": [\"2014/03/10\", \"Olivia\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Olivia for 18 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2014/03/10?\", \"18 minutes\"], [\"who did I talk to on 2014/03/10?\", \"Olivia\"], [\"Did I talk to Olivia on 2014/03/10?\", \"yes\"], [\"Did I talk to anyone on 2014/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/11\": {\"exercise\": {\"eid\": \"e6447\", \"logical_representation\": [\"2014/03/11\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/03/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/11?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6448\", \"logical_representation\": [\"2014/03/11\", \"lunch\", \"fish and chips\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had fish and chips for lunch with Carter, Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/03/11?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for lunch on 2014/03/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6449\", \"logical_representation\": [\"2014/03/11\", \"Kinsley, Nevaeh, Piper\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh, Piper for 6 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Piper late in the evening on 2014/03/11?\", \"6 minutes\"], [\"who did I talk to on 2014/03/11?\", \"Kinsley, Nevaeh, Piper\"], [\"Did I talk to Kinsley, Nevaeh, Piper on 2014/03/11?\", \"yes\"], [\"Did I talk to anyone on 2014/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6450\", \"logical_representation\": [\"2014/03/11\", \"Piper, Eva, Lydia, Hazel\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Piper, Eva, Lydia, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Lydia, Hazel late in the evening on 2014/03/11?\", \"15 minutes\"], [\"who did I talk to on 2014/03/11?\", \"Piper, Eva, Lydia, Hazel\"], [\"Did I talk to Piper, Eva, Lydia, Hazel on 2014/03/11?\", \"yes\"], [\"Did I talk to anyone on 2014/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6451\", \"logical_representation\": [\"2014/03/11\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/03/11?\", \"19 minutes\"], [\"what did I read on 2014/03/11?\", \"news\"], [\"Did I read on 2014/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6452\", \"logical_representation\": [\"2014/03/11\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I watched a tv series for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/11?\", \"47 minutes\"], [\"what did I watch on tv on 2014/03/11?\", \"a tv series\"], [\"Did I watch tv on 2014/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/14\": {\"breakfast\": {\"eid\": \"e6461\", \"logical_representation\": [\"2014/03/14\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6462\", \"logical_representation\": [\"2014/03/14\", \"lunch\", \"tacos\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had tacos for lunch with Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/03/14?\", \"Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2014/03/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6463\", \"logical_representation\": [\"2014/03/14\", \"Avery\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2014/03/14?\", \"43 minutes\"], [\"who did I talk to on 2014/03/14?\", \"Avery\"], [\"Did I talk to Avery on 2014/03/14?\", \"yes\"], [\"Did I talk to anyone on 2014/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6464\", \"logical_representation\": [\"2014/03/14\", \"news\", \"9 minutes\"], \"text_template_based\": \"I watched news for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/14?\", \"9 minutes\"], [\"what did I watch on tv on 2014/03/14?\", \"news\"], [\"Did I watch tv on 2014/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/15\": {\"breakfast\": {\"eid\": \"e6465\", \"logical_representation\": [\"2014/03/15\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6466\", \"logical_representation\": [\"2014/03/15\", \"dinner\", \"sushi\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/03/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6467\", \"logical_representation\": [\"2014/03/15\", \"Rylee\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2014/03/15?\", \"7 minutes\"], [\"who did I talk to on 2014/03/15?\", \"Rylee\"], [\"Did I talk to Rylee on 2014/03/15?\", \"yes\"], [\"Did I talk to anyone on 2014/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/17\": {\"exercise\": {\"eid\": \"e6471\", \"logical_representation\": [\"2014/03/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/03/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6472\", \"logical_representation\": [\"2014/03/17\", \"dinner\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/03/17?\", \"Andrew\"], [\"what did I eat for dinner on 2014/03/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6473\", \"logical_representation\": [\"2014/03/17\", \"Hazel, Claire, Kinsley\", \"late in the evening\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Hazel, Claire, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Kinsley late in the evening on 2014/03/17?\", \"8 minutes\"], [\"who did I talk to on 2014/03/17?\", \"Hazel, Claire, Kinsley\"], [\"Did I talk to Hazel, Claire, Kinsley on 2014/03/17?\", \"yes\"], [\"Did I talk to anyone on 2014/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6474\", \"logical_representation\": [\"2014/03/17\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/03/17?\", \"40 minutes\"], [\"what did I read on 2014/03/17?\", \"social media\"], [\"Did I read on 2014/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/18\": {\"exercise\": {\"eid\": \"e6475\", \"logical_representation\": [\"2014/03/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/03/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6476\", \"logical_representation\": [\"2014/03/18\", \"breakfast\", \"cereals\", \"Carter, Kayden\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6477\", \"logical_representation\": [\"2014/03/18\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/03/18?\", \"52 minutes\"], [\"what did I read on 2014/03/18?\", \"a book\"], [\"Did I read on 2014/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6478\", \"logical_representation\": [\"2014/03/18\", \"news\", \"47 minutes\"], \"text_template_based\": \"I watched news for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/18?\", \"47 minutes\"], [\"what did I watch on tv on 2014/03/18?\", \"news\"], [\"Did I watch tv on 2014/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/19\": {\"dinner\": {\"eid\": \"e6479\", \"logical_representation\": [\"2014/03/19\", \"dinner\", \"indian food\", \"Carter, Andrew\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/03/19\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6480\", \"logical_representation\": [\"2014/03/19\", \"Olivia, Piper\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Olivia, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper in the early afternoon on 2014/03/19?\", \"17 minutes\"], [\"who did I talk to on 2014/03/19?\", \"Olivia, Piper\"], [\"Did I talk to Olivia, Piper on 2014/03/19?\", \"yes\"], [\"Did I talk to anyone on 2014/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6481\", \"logical_representation\": [\"2014/03/19\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/03/19?\", \"20 minutes\"], [\"what did I read on 2014/03/19?\", \"a book\"], [\"Did I read on 2014/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6482\", \"logical_representation\": [\"2014/03/19\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I watched a documentary for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/19?\", \"7 minutes\"], [\"what did I watch on tv on 2014/03/19?\", \"a documentary\"], [\"Did I watch tv on 2014/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/22\": {\"exercise\": {\"eid\": \"e6489\", \"logical_representation\": [\"2014/03/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/03/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6490\", \"logical_representation\": [\"2014/03/22\", \"breakfast\", \"cereals\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6491\", \"logical_representation\": [\"2014/03/22\", \"lunch\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/03/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6492\", \"logical_representation\": [\"2014/03/22\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/03/22?\", \"21 minutes\"], [\"what did I read on 2014/03/22?\", \"news\"], [\"Did I read on 2014/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/25\": {\"exercise\": {\"eid\": \"e6499\", \"logical_representation\": [\"2014/03/25\", \"biking\"], \"text_template_based\": \"I did biking on 2014/03/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/25?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6500\", \"logical_representation\": [\"2014/03/25\", \"breakfast\", \"peanut-butter-jam\", \"Claire, Kinsley\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/25\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6501\", \"logical_representation\": [\"2014/03/25\", \"dinner\", \"indian food\", \"Layla, Nora, Avery, Lydia, Hazel, Piper, Eva, Rylee, Piper, Claire, Kinsley, Olivia, Nevaeh\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/03/25\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2014/03/26\": {\"lunch\": {\"eid\": \"e6502\", \"logical_representation\": [\"2014/03/26\", \"lunch\", \"fish and chips\", \"Nevaeh, Nora, Kinsley\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/03/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6503\", \"logical_representation\": [\"2014/03/26\", \"dinner\", \"sandwich\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/03/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6504\", \"logical_representation\": [\"2014/03/26\", \"Rylee\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2014/03/26?\", \"26 minutes\"], [\"who did I talk to on 2014/03/26?\", \"Rylee\"], [\"Did I talk to Rylee on 2014/03/26?\", \"yes\"], [\"Did I talk to anyone on 2014/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6505\", \"logical_representation\": [\"2014/03/26\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/03/26?\", \"53 minutes\"], [\"what did I read on 2014/03/26?\", \"a book\"], [\"Did I read on 2014/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/27\": {\"exercise\": {\"eid\": \"e6506\", \"logical_representation\": [\"2014/03/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/03/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6507\", \"logical_representation\": [\"2014/03/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Olivia, Rylee, Lydia, Hazel, Nevaeh, Claire, Eva, Nora\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6508\", \"logical_representation\": [\"2014/03/27\", \"dinner\", \"sushi\", \"Claire, Rylee, Nora\"], \"text_template_based\": \"I had dinner with Claire, Rylee, Nora. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/03/27?\", \"Claire, Rylee, Nora\"], [\"what did I eat for dinner on 2014/03/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6509\", \"logical_representation\": [\"2014/03/27\", \"Hazel\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2014/03/27?\", \"42 minutes\"], [\"who did I talk to on 2014/03/27?\", \"Hazel\"], [\"Did I talk to Hazel on 2014/03/27?\", \"yes\"], [\"Did I talk to anyone on 2014/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6510\", \"logical_representation\": [\"2014/03/27\", \"Claire, Nora\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I talked to Claire, Nora for 27 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora during lunch hours on 2014/03/27?\", \"27 minutes\"], [\"who did I talk to on 2014/03/27?\", \"Claire, Nora\"], [\"Did I talk to Claire, Nora on 2014/03/27?\", \"yes\"], [\"Did I talk to anyone on 2014/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/28\": {\"dinner\": {\"eid\": \"e6511\", \"logical_representation\": [\"2014/03/28\", \"dinner\", \"sushi\", \"Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/03/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6512\", \"logical_representation\": [\"2014/03/28\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/03/28?\", \"41 minutes\"], [\"what did I read on 2014/03/28?\", \"a book\"], [\"Did I read on 2014/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/30\": {\"breakfast\": {\"eid\": \"e6518\", \"logical_representation\": [\"2014/03/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6519\", \"logical_representation\": [\"2014/03/30\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/03/30?\", \"9 minutes\"], [\"what did I read on 2014/03/30?\", \"a book\"], [\"Did I read on 2014/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/31\": {\"exercise\": {\"eid\": \"e6520\", \"logical_representation\": [\"2014/03/31\", \"biking\"], \"text_template_based\": \"I did biking on 2014/03/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/31?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6521\", \"logical_representation\": [\"2014/03/31\", \"lunch\", \"sandwich\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/03/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6522\", \"logical_representation\": [\"2014/03/31\", \"Layla, Hazel\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Layla, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel in the early afternoon on 2014/03/31?\", \"9 minutes\"], [\"who did I talk to on 2014/03/31?\", \"Layla, Hazel\"], [\"Did I talk to Layla, Hazel on 2014/03/31?\", \"yes\"], [\"Did I talk to anyone on 2014/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6523\", \"logical_representation\": [\"2014/03/31\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/03/31?\", \"32 minutes\"], [\"what did I read on 2014/03/31?\", \"social media\"], [\"Did I read on 2014/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/01\": {\"exercise\": {\"eid\": \"e6524\", \"logical_representation\": [\"2014/04/01\", \"running\"], \"text_template_based\": \"I did running on 2014/04/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6525\", \"logical_representation\": [\"2014/04/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/04/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6526\", \"logical_representation\": [\"2014/04/01\", \"lunch\", \"sandwich\", \"Nevaeh\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6527\", \"logical_representation\": [\"2014/04/01\", \"dinner\", \"pasta\", \"Rylee, Piper, Avery, Olivia, Lydia, Layla, Nevaeh\"], \"text_template_based\": \"I had pasta for dinner with Rylee, Piper, Avery, Olivia, Lydia, Layla, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/04/01?\", \"Rylee, Piper, Avery, Olivia, Lydia, Layla, Nevaeh\"], [\"what did I eat for dinner on 2014/04/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6528\", \"logical_representation\": [\"2014/04/01\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/04/01?\", \"33 minutes\"], [\"what did I read on 2014/04/01?\", \"news\"], [\"Did I read on 2014/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6529\", \"logical_representation\": [\"2014/04/01\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/01?\", \"12 minutes\"], [\"what did I watch on tv on 2014/04/01?\", \"news\"], [\"Did I watch tv on 2014/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/02\": {\"exercise\": {\"eid\": \"e6530\", \"logical_representation\": [\"2014/04/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/04/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6531\", \"logical_representation\": [\"2014/04/02\", \"breakfast\", \"pancakes\", \"Kinsley, Nora, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/04/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6532\", \"logical_representation\": [\"2014/04/02\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6533\", \"logical_representation\": [\"2014/04/02\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/04/02?\", \"15 minutes\"], [\"what did I read on 2014/04/02?\", \"a book\"], [\"Did I read on 2014/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6534\", \"logical_representation\": [\"2014/04/02\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/02?\", \"22 minutes\"], [\"what did I watch on tv on 2014/04/02?\", \"a documentary\"], [\"Did I watch tv on 2014/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/03\": {\"lunch\": {\"eid\": \"e6535\", \"logical_representation\": [\"2014/04/03\", \"lunch\", \"steak\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6536\", \"logical_representation\": [\"2014/04/03\", \"dinner\", \"indian food\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Emily, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/04/03?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2014/04/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6537\", \"logical_representation\": [\"2014/04/03\", \"Olivia, Piper, Lydia\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Lydia for 23 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Lydia during lunch hours on 2014/04/03?\", \"23 minutes\"], [\"who did I talk to on 2014/04/03?\", \"Olivia, Piper, Lydia\"], [\"Did I talk to Olivia, Piper, Lydia on 2014/04/03?\", \"yes\"], [\"Did I talk to anyone on 2014/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6538\", \"logical_representation\": [\"2014/04/03\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/04/03?\", \"39 minutes\"], [\"what did I read on 2014/04/03?\", \"a book\"], [\"Did I read on 2014/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/05\": {\"exercise\": {\"eid\": \"e6544\", \"logical_representation\": [\"2014/04/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6545\", \"logical_representation\": [\"2014/04/05\", \"Rylee, Piper\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper for 52 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper in the early afternoon on 2014/04/05?\", \"52 minutes\"], [\"who did I talk to on 2014/04/05?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2014/04/05?\", \"yes\"], [\"Did I talk to anyone on 2014/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6546\", \"logical_representation\": [\"2014/04/05\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/04/05?\", \"36 minutes\"], [\"what did I read on 2014/04/05?\", \"news\"], [\"Did I read on 2014/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6547\", \"logical_representation\": [\"2014/04/05\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I watched a movie for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/05?\", \"14 minutes\"], [\"what did I watch on tv on 2014/04/05?\", \"a movie\"], [\"Did I watch tv on 2014/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/06\": {\"exercise\": {\"eid\": \"e6548\", \"logical_representation\": [\"2014/04/06\", \"running\"], \"text_template_based\": \"I did running on 2014/04/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/06?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6549\", \"logical_representation\": [\"2014/04/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/04/06?\", \"Emily\"], [\"what did I eat for breakfast on 2014/04/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6550\", \"logical_representation\": [\"2014/04/06\", \"dinner\", \"pasta\", \"Lydia, Hazel, Nevaeh, Avery, Rylee, Olivia, Layla, Eva\"], \"text_template_based\": \"I had dinner with Lydia, Hazel, Nevaeh, Avery, Rylee, Olivia, Layla, Eva. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/04/06?\", \"Lydia, Hazel, Nevaeh, Avery, Rylee, Olivia, Layla, Eva\"], [\"what did I eat for dinner on 2014/04/06\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2014/04/07\": {\"breakfast\": {\"eid\": \"e6551\", \"logical_representation\": [\"2014/04/07\", \"breakfast\", \"cereals\", \"Eva, Piper, Nevaeh\"], \"text_template_based\": \"I had breakfast with Eva, Piper, Nevaeh. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/04/07?\", \"Eva, Piper, Nevaeh\"], [\"what did I eat for breakfast on 2014/04/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6552\", \"logical_representation\": [\"2014/04/07\", \"lunch\", \"sushi\", \"Andrew, Kayden\"], \"text_template_based\": \"I had sushi for lunch with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/04/07?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2014/04/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6553\", \"logical_representation\": [\"2014/04/07\", \"dinner\", \"a burger\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had a burger for dinner with Jackson, Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/04/07?\", \"Jackson, Benjamin, Avery\"], [\"what did I eat for dinner on 2014/04/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6554\", \"logical_representation\": [\"2014/04/07\", \"Layla, Olivia\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Layla, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia in the late afternoon on 2014/04/07?\", \"34 minutes\"], [\"who did I talk to on 2014/04/07?\", \"Layla, Olivia\"], [\"Did I talk to Layla, Olivia on 2014/04/07?\", \"yes\"], [\"Did I talk to anyone on 2014/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6555\", \"logical_representation\": [\"2014/04/07\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/04/07?\", \"39 minutes\"], [\"what did I read on 2014/04/07?\", \"social media\"], [\"Did I read on 2014/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/09\": {\"exercise\": {\"eid\": \"e6560\", \"logical_representation\": [\"2014/04/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/04/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6561\", \"logical_representation\": [\"2014/04/09\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/04/09?\", \"45 minutes\"], [\"what did I read on 2014/04/09?\", \"a book\"], [\"Did I read on 2014/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6562\", \"logical_representation\": [\"2014/04/09\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/09?\", \"28 minutes\"], [\"what did I watch on tv on 2014/04/09?\", \"a movie\"], [\"Did I watch tv on 2014/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/11\": {\"exercise\": {\"eid\": \"e6568\", \"logical_representation\": [\"2014/04/11\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/04/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/11?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6569\", \"logical_representation\": [\"2014/04/11\", \"dinner\", \"sandwich\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Emily, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/04/11?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2014/04/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6570\", \"logical_representation\": [\"2014/04/11\", \"Lydia, Piper\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper for 6 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper late in the evening on 2014/04/11?\", \"6 minutes\"], [\"who did I talk to on 2014/04/11?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2014/04/11?\", \"yes\"], [\"Did I talk to anyone on 2014/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6571\", \"logical_representation\": [\"2014/04/11\", \"Nevaeh, Avery, Layla\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Avery, Layla for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Layla late in the evening on 2014/04/11?\", \"37 minutes\"], [\"who did I talk to on 2014/04/11?\", \"Nevaeh, Avery, Layla\"], [\"Did I talk to Nevaeh, Avery, Layla on 2014/04/11?\", \"yes\"], [\"Did I talk to anyone on 2014/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/12\": {\"breakfast\": {\"eid\": \"e6572\", \"logical_representation\": [\"2014/04/12\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Emily, Kayden. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/04/12?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2014/04/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6573\", \"logical_representation\": [\"2014/04/12\", \"lunch\", \"a burger\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6574\", \"logical_representation\": [\"2014/04/12\", \"dinner\", \"indian food\", \"Nevaeh, Rylee, Layla, Nora, Claire, Olivia, Kinsley, Eva, Piper\"], \"text_template_based\": \"I had dinner with Nevaeh, Rylee, Layla, Nora, Claire, Olivia, Kinsley, Eva, Piper. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/04/12?\", \"Nevaeh, Rylee, Layla, Nora, Claire, Olivia, Kinsley, Eva, Piper\"], [\"what did I eat for dinner on 2014/04/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6575\", \"logical_representation\": [\"2014/04/12\", \"Nora, Layla, Kinsley\", \"late in the evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Nora, Layla, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Kinsley late in the evening on 2014/04/12?\", \"7 minutes\"], [\"who did I talk to on 2014/04/12?\", \"Nora, Layla, Kinsley\"], [\"Did I talk to Nora, Layla, Kinsley on 2014/04/12?\", \"yes\"], [\"Did I talk to anyone on 2014/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6576\", \"logical_representation\": [\"2014/04/12\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/04/12?\", \"49 minutes\"], [\"what did I read on 2014/04/12?\", \"a book\"], [\"Did I read on 2014/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/14\": {\"breakfast\": {\"eid\": \"e6583\", \"logical_representation\": [\"2014/04/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/04/14?\", \"Kayden, Carter\"], [\"what did I eat for breakfast on 2014/04/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6584\", \"logical_representation\": [\"2014/04/14\", \"lunch\", \"chinese food\", \"Piper, Lydia, Nevaeh\"], \"text_template_based\": \"I had chinese food for lunch with Piper, Lydia, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/04/14?\", \"Piper, Lydia, Nevaeh\"], [\"what did I eat for lunch on 2014/04/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6585\", \"logical_representation\": [\"2014/04/14\", \"dinner\", \"chinese food\", \"Rylee, Lydia, Hazel, Claire, Piper, Olivia\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6586\", \"logical_representation\": [\"2014/04/14\", \"Eva\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I talked to Eva for 17 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2014/04/14?\", \"17 minutes\"], [\"who did I talk to on 2014/04/14?\", \"Eva\"], [\"Did I talk to Eva on 2014/04/14?\", \"yes\"], [\"Did I talk to anyone on 2014/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/15\": {\"exercise\": {\"eid\": \"e6587\", \"logical_representation\": [\"2014/04/15\", \"running\"], \"text_template_based\": \"I did running on 2014/04/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6588\", \"logical_representation\": [\"2014/04/15\", \"lunch\", \"steak\", \"Carter\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6589\", \"logical_representation\": [\"2014/04/15\", \"dinner\", \"sandwich\", \"Kinsley, Nevaeh, Hazel, Lydia\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6590\", \"logical_representation\": [\"2014/04/15\", \"Piper, Avery, Claire, Hazel\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Claire, Hazel for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Claire, Hazel in the early afternoon on 2014/04/15?\", \"7 minutes\"], [\"who did I talk to on 2014/04/15?\", \"Piper, Avery, Claire, Hazel\"], [\"Did I talk to Piper, Avery, Claire, Hazel on 2014/04/15?\", \"yes\"], [\"Did I talk to anyone on 2014/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/17\": {\"chat0\": {\"eid\": \"e6595\", \"logical_representation\": [\"2014/04/17\", \"Eva\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2014/04/17?\", \"40 minutes\"], [\"who did I talk to on 2014/04/17?\", \"Eva\"], [\"Did I talk to Eva on 2014/04/17?\", \"yes\"], [\"Did I talk to anyone on 2014/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6596\", \"logical_representation\": [\"2014/04/17\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/04/17?\", \"24 minutes\"], [\"what did I read on 2014/04/17?\", \"news\"], [\"Did I read on 2014/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6597\", \"logical_representation\": [\"2014/04/17\", \"news\", \"47 minutes\"], \"text_template_based\": \"I watched news for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/17?\", \"47 minutes\"], [\"what did I watch on tv on 2014/04/17?\", \"news\"], [\"Did I watch tv on 2014/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/18\": {\"exercise\": {\"eid\": \"e6598\", \"logical_representation\": [\"2014/04/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/04/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6599\", \"logical_representation\": [\"2014/04/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Layla, Claire, Eva, Kinsley, Piper, Piper, Hazel\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/04/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6600\", \"logical_representation\": [\"2014/04/18\", \"dinner\", \"sushi\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6601\", \"logical_representation\": [\"2014/04/18\", \"Nora, Piper, Eva, Layla\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Nora, Piper, Eva, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Eva, Layla in the morning on 2014/04/18?\", \"14 minutes\"], [\"who did I talk to on 2014/04/18?\", \"Nora, Piper, Eva, Layla\"], [\"Did I talk to Nora, Piper, Eva, Layla on 2014/04/18?\", \"yes\"], [\"Did I talk to anyone on 2014/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/19\": {\"exercise\": {\"eid\": \"e6602\", \"logical_representation\": [\"2014/04/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/04/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6603\", \"logical_representation\": [\"2014/04/19\", \"lunch\", \"pasta\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had lunch with Jackson, Benjamin, Willow. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/04/19?\", \"Jackson, Benjamin, Willow\"], [\"what did I eat for lunch on 2014/04/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6604\", \"logical_representation\": [\"2014/04/19\", \"dinner\", \"fish and chips\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6605\", \"logical_representation\": [\"2014/04/19\", \"Nevaeh\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2014/04/19?\", \"54 minutes\"], [\"who did I talk to on 2014/04/19?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2014/04/19?\", \"yes\"], [\"Did I talk to anyone on 2014/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/20\": {\"exercise\": {\"eid\": \"e6606\", \"logical_representation\": [\"2014/04/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/04/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6607\", \"logical_representation\": [\"2014/04/20\", \"breakfast\", \"cereals\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/04/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6608\", \"logical_representation\": [\"2014/04/20\", \"lunch\", \"pasta\", \"Hazel, Avery, Eva, Claire, Nora, Piper\"], \"text_template_based\": \"I had pasta for lunch with Hazel, Avery, Eva, Claire, Nora, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/04/20?\", \"Hazel, Avery, Eva, Claire, Nora, Piper\"], [\"what did I eat for lunch on 2014/04/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6609\", \"logical_representation\": [\"2014/04/20\", \"dinner\", \"pasta\", \"Lydia, Rylee, Claire, Piper, Hazel, Piper, Olivia, Layla, Nora, Avery, Eva, Nevaeh\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6610\", \"logical_representation\": [\"2014/04/20\", \"Kinsley\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Kinsley for 11 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2014/04/20?\", \"11 minutes\"], [\"who did I talk to on 2014/04/20?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2014/04/20?\", \"yes\"], [\"Did I talk to anyone on 2014/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6611\", \"logical_representation\": [\"2014/04/20\", \"social media\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/04/20?\", \"41 minutes\"], [\"what did I read on 2014/04/20?\", \"social media\"], [\"Did I read on 2014/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6612\", \"logical_representation\": [\"2014/04/20\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I watched a tv series for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/20?\", \"20 minutes\"], [\"what did I watch on tv on 2014/04/20?\", \"a tv series\"], [\"Did I watch tv on 2014/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/21\": {\"exercise\": {\"eid\": \"e6613\", \"logical_representation\": [\"2014/04/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/04/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6614\", \"logical_representation\": [\"2014/04/21\", \"lunch\", \"tacos\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6615\", \"logical_representation\": [\"2014/04/21\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I watched a tv series for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/21?\", \"23 minutes\"], [\"what did I watch on tv on 2014/04/21?\", \"a tv series\"], [\"Did I watch tv on 2014/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/23\": {\"lunch\": {\"eid\": \"e6620\", \"logical_representation\": [\"2014/04/23\", \"lunch\", \"pasta\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6621\", \"logical_representation\": [\"2014/04/23\", \"dinner\", \"tacos\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6622\", \"logical_representation\": [\"2014/04/23\", \"Olivia\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2014/04/23?\", \"29 minutes\"], [\"who did I talk to on 2014/04/23?\", \"Olivia\"], [\"Did I talk to Olivia on 2014/04/23?\", \"yes\"], [\"Did I talk to anyone on 2014/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6623\", \"logical_representation\": [\"2014/04/23\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/23?\", \"50 minutes\"], [\"what did I watch on tv on 2014/04/23?\", \"news\"], [\"Did I watch tv on 2014/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/24\": {\"exercise\": {\"eid\": \"e6624\", \"logical_representation\": [\"2014/04/24\", \"running\"], \"text_template_based\": \"I did running on 2014/04/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/24?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6625\", \"logical_representation\": [\"2014/04/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/04/24?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for breakfast on 2014/04/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6626\", \"logical_representation\": [\"2014/04/24\", \"Eva\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2014/04/24?\", \"26 minutes\"], [\"who did I talk to on 2014/04/24?\", \"Eva\"], [\"Did I talk to Eva on 2014/04/24?\", \"yes\"], [\"Did I talk to anyone on 2014/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6627\", \"logical_representation\": [\"2014/04/24\", \"Nevaeh\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 41 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early afternoon on 2014/04/24?\", \"41 minutes\"], [\"who did I talk to on 2014/04/24?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2014/04/24?\", \"yes\"], [\"Did I talk to anyone on 2014/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6628\", \"logical_representation\": [\"2014/04/24\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/04/24?\", \"22 minutes\"], [\"what did I read on 2014/04/24?\", \"a book\"], [\"Did I read on 2014/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6629\", \"logical_representation\": [\"2014/04/24\", \"a movie\", \"54 minutes\"], \"text_template_based\": \"I watched a movie for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/24?\", \"54 minutes\"], [\"what did I watch on tv on 2014/04/24?\", \"a movie\"], [\"Did I watch tv on 2014/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/25\": {\"exercise\": {\"eid\": \"e6630\", \"logical_representation\": [\"2014/04/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/04/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6631\", \"logical_representation\": [\"2014/04/25\", \"lunch\", \"indian food\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6632\", \"logical_representation\": [\"2014/04/25\", \"Eva, Layla, Piper\", \"in the late afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Eva, Layla, Piper for 16 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Piper in the late afternoon on 2014/04/25?\", \"16 minutes\"], [\"who did I talk to on 2014/04/25?\", \"Eva, Layla, Piper\"], [\"Did I talk to Eva, Layla, Piper on 2014/04/25?\", \"yes\"], [\"Did I talk to anyone on 2014/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6633\", \"logical_representation\": [\"2014/04/25\", \"Claire, Hazel, Olivia\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I talked to Claire, Hazel, Olivia for 22 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Olivia in the early afternoon on 2014/04/25?\", \"22 minutes\"], [\"who did I talk to on 2014/04/25?\", \"Claire, Hazel, Olivia\"], [\"Did I talk to Claire, Hazel, Olivia on 2014/04/25?\", \"yes\"], [\"Did I talk to anyone on 2014/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6634\", \"logical_representation\": [\"2014/04/25\", \"a movie\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/25?\", \"51 minutes\"], [\"what did I watch on tv on 2014/04/25?\", \"a movie\"], [\"Did I watch tv on 2014/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/28\": {\"breakfast\": {\"eid\": \"e6643\", \"logical_representation\": [\"2014/04/28\", \"breakfast\", \"pancakes\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/04/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6644\", \"logical_representation\": [\"2014/04/28\", \"lunch\", \"a burger\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had lunch with Jackson, Benjamin. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/04/28?\", \"Jackson, Benjamin\"], [\"what did I eat for lunch on 2014/04/28\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2014/04/29\": {\"breakfast\": {\"eid\": \"e6645\", \"logical_representation\": [\"2014/04/29\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Avery\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/04/29?\", \"Benjamin, Avery\"], [\"what did I eat for breakfast on 2014/04/29\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6646\", \"logical_representation\": [\"2014/04/29\", \"lunch\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had sandwich for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/04/29?\", \"Emily\"], [\"what did I eat for lunch on 2014/04/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6647\", \"logical_representation\": [\"2014/04/29\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/04/29?\", \"Emily\"], [\"what did I eat for dinner on 2014/04/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6648\", \"logical_representation\": [\"2014/04/29\", \"Olivia, Hazel\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I talked to Olivia, Hazel for 46 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel in the morning on 2014/04/29?\", \"46 minutes\"], [\"who did I talk to on 2014/04/29?\", \"Olivia, Hazel\"], [\"Did I talk to Olivia, Hazel on 2014/04/29?\", \"yes\"], [\"Did I talk to anyone on 2014/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6649\", \"logical_representation\": [\"2014/04/29\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/04/29?\", \"37 minutes\"], [\"what did I read on 2014/04/29?\", \"a book\"], [\"Did I read on 2014/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6650\", \"logical_representation\": [\"2014/04/29\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I watched a tv series for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/29?\", \"32 minutes\"], [\"what did I watch on tv on 2014/04/29?\", \"a tv series\"], [\"Did I watch tv on 2014/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/30\": {\"lunch\": {\"eid\": \"e6651\", \"logical_representation\": [\"2014/04/30\", \"lunch\", \"a burger\", \"Avery, Benjamin\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6652\", \"logical_representation\": [\"2014/04/30\", \"dinner\", \"sandwich\", \"Layla, Piper, Eva, Nevaeh, Avery\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6653\", \"logical_representation\": [\"2014/04/30\", \"Olivia, Kinsley\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley for 23 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley in the late afternoon on 2014/04/30?\", \"23 minutes\"], [\"who did I talk to on 2014/04/30?\", \"Olivia, Kinsley\"], [\"Did I talk to Olivia, Kinsley on 2014/04/30?\", \"yes\"], [\"Did I talk to anyone on 2014/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6654\", \"logical_representation\": [\"2014/04/30\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/30?\", \"53 minutes\"], [\"what did I watch on tv on 2014/04/30?\", \"a movie\"], [\"Did I watch tv on 2014/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/01\": {\"exercise\": {\"eid\": \"e6655\", \"logical_representation\": [\"2014/05/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/05/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6656\", \"logical_representation\": [\"2014/05/01\", \"dinner\", \"sandwich\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/05/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6657\", \"logical_representation\": [\"2014/05/01\", \"Kinsley, Nevaeh, Hazel, Piper\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Kinsley, Nevaeh, Hazel, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Hazel, Piper in the early afternoon on 2014/05/01?\", \"15 minutes\"], [\"who did I talk to on 2014/05/01?\", \"Kinsley, Nevaeh, Hazel, Piper\"], [\"Did I talk to Kinsley, Nevaeh, Hazel, Piper on 2014/05/01?\", \"yes\"], [\"Did I talk to anyone on 2014/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6658\", \"logical_representation\": [\"2014/05/01\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/05/01?\", \"6 minutes\"], [\"what did I read on 2014/05/01?\", \"news\"], [\"Did I read on 2014/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/02\": {\"dinner\": {\"eid\": \"e6659\", \"logical_representation\": [\"2014/05/02\", \"dinner\", \"chinese food\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Willow, Avery, Jackson. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/05/02?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for dinner on 2014/05/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6660\", \"logical_representation\": [\"2014/05/02\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/05/02?\", \"5 minutes\"], [\"what did I read on 2014/05/02?\", \"social media\"], [\"Did I read on 2014/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6661\", \"logical_representation\": [\"2014/05/02\", \"a documentary\", \"45 minutes\"], \"text_template_based\": \"I watched a documentary for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/02?\", \"45 minutes\"], [\"what did I watch on tv on 2014/05/02?\", \"a documentary\"], [\"Did I watch tv on 2014/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/03\": {\"breakfast\": {\"eid\": \"e6662\", \"logical_representation\": [\"2014/05/03\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/05/03?\", \"Carter\"], [\"what did I eat for breakfast on 2014/05/03\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6663\", \"logical_representation\": [\"2014/05/03\", \"lunch\", \"sushi\", \"Carter\"], \"text_template_based\": \"I had sushi for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/05/03?\", \"Carter\"], [\"what did I eat for lunch on 2014/05/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6664\", \"logical_representation\": [\"2014/05/03\", \"dinner\", \"indian food\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/05/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6665\", \"logical_representation\": [\"2014/05/03\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/05/03?\", \"32 minutes\"], [\"what did I read on 2014/05/03?\", \"social media\"], [\"Did I read on 2014/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6666\", \"logical_representation\": [\"2014/05/03\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/03?\", \"50 minutes\"], [\"what did I watch on tv on 2014/05/03?\", \"news\"], [\"Did I watch tv on 2014/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/04\": {\"breakfast\": {\"eid\": \"e6667\", \"logical_representation\": [\"2014/05/04\", \"breakfast\", \"oatmeal\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6668\", \"logical_representation\": [\"2014/05/04\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/05/04?\", \"40 minutes\"], [\"what did I read on 2014/05/04?\", \"social media\"], [\"Did I read on 2014/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/05\": {\"dinner\": {\"eid\": \"e6669\", \"logical_representation\": [\"2014/05/05\", \"dinner\", \"fish and chips\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/05/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6670\", \"logical_representation\": [\"2014/05/05\", \"Avery, Nevaeh, Eva, Olivia\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I talked to Avery, Nevaeh, Eva, Olivia for 9 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Eva, Olivia during lunch hours on 2014/05/05?\", \"9 minutes\"], [\"who did I talk to on 2014/05/05?\", \"Avery, Nevaeh, Eva, Olivia\"], [\"Did I talk to Avery, Nevaeh, Eva, Olivia on 2014/05/05?\", \"yes\"], [\"Did I talk to anyone on 2014/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6671\", \"logical_representation\": [\"2014/05/05\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/05/05?\", \"11 minutes\"], [\"what did I read on 2014/05/05?\", \"a book\"], [\"Did I read on 2014/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6672\", \"logical_representation\": [\"2014/05/05\", \"a tv series\", \"53 minutes\"], \"text_template_based\": \"I watched a tv series for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/05?\", \"53 minutes\"], [\"what did I watch on tv on 2014/05/05?\", \"a tv series\"], [\"Did I watch tv on 2014/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/06\": {\"exercise\": {\"eid\": \"e6673\", \"logical_representation\": [\"2014/05/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/05/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6674\", \"logical_representation\": [\"2014/05/06\", \"lunch\", \"chinese food\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6675\", \"logical_representation\": [\"2014/05/06\", \"Hazel\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Hazel for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2014/05/06?\", \"7 minutes\"], [\"who did I talk to on 2014/05/06?\", \"Hazel\"], [\"Did I talk to Hazel on 2014/05/06?\", \"yes\"], [\"Did I talk to anyone on 2014/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6676\", \"logical_representation\": [\"2014/05/06\", \"Claire, Layla, Nevaeh, Rylee\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Claire, Layla, Nevaeh, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Nevaeh, Rylee in the late afternoon on 2014/05/06?\", \"51 minutes\"], [\"who did I talk to on 2014/05/06?\", \"Claire, Layla, Nevaeh, Rylee\"], [\"Did I talk to Claire, Layla, Nevaeh, Rylee on 2014/05/06?\", \"yes\"], [\"Did I talk to anyone on 2014/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6677\", \"logical_representation\": [\"2014/05/06\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/05/06?\", \"32 minutes\"], [\"what did I read on 2014/05/06?\", \"news\"], [\"Did I read on 2014/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6678\", \"logical_representation\": [\"2014/05/06\", \"a movie\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/06?\", \"15 minutes\"], [\"what did I watch on tv on 2014/05/06?\", \"a movie\"], [\"Did I watch tv on 2014/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/07\": {\"breakfast\": {\"eid\": \"e6679\", \"logical_representation\": [\"2014/05/07\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6680\", \"logical_representation\": [\"2014/05/07\", \"lunch\", \"a burger\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6681\", \"logical_representation\": [\"2014/05/07\", \"dinner\", \"chinese food\", \"Hazel, Lydia, Rylee\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/05/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6682\", \"logical_representation\": [\"2014/05/07\", \"news\", \"23 minutes\"], \"text_template_based\": \"I watched news for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/07?\", \"23 minutes\"], [\"what did I watch on tv on 2014/05/07?\", \"news\"], [\"Did I watch tv on 2014/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/09\": {\"exercise\": {\"eid\": \"e6687\", \"logical_representation\": [\"2014/05/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/05/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6688\", \"logical_representation\": [\"2014/05/09\", \"breakfast\", \"eggs, sausages, and bread\", \"Layla, Rylee, Eva\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Layla, Rylee, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/05/09?\", \"Layla, Rylee, Eva\"], [\"what did I eat for breakfast on 2014/05/09\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6689\", \"logical_representation\": [\"2014/05/09\", \"lunch\", \"chinese food\", \"Emily, Kayden\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6690\", \"logical_representation\": [\"2014/05/09\", \"Hazel, Kinsley, Nora\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I talked to Hazel, Kinsley, Nora for 13 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley, Nora in the morning on 2014/05/09?\", \"13 minutes\"], [\"who did I talk to on 2014/05/09?\", \"Hazel, Kinsley, Nora\"], [\"Did I talk to Hazel, Kinsley, Nora on 2014/05/09?\", \"yes\"], [\"Did I talk to anyone on 2014/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6691\", \"logical_representation\": [\"2014/05/09\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/09?\", \"40 minutes\"], [\"what did I watch on tv on 2014/05/09?\", \"news\"], [\"Did I watch tv on 2014/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/11\": {\"lunch\": {\"eid\": \"e6696\", \"logical_representation\": [\"2014/05/11\", \"lunch\", \"indian food\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Carter, Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/05/11?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for lunch on 2014/05/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6697\", \"logical_representation\": [\"2014/05/11\", \"dinner\", \"a burger\", \"Carter, Kayden\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/05/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6698\", \"logical_representation\": [\"2014/05/11\", \"Nora\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2014/05/11?\", \"55 minutes\"], [\"who did I talk to on 2014/05/11?\", \"Nora\"], [\"Did I talk to Nora on 2014/05/11?\", \"yes\"], [\"Did I talk to anyone on 2014/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6699\", \"logical_representation\": [\"2014/05/11\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/05/11?\", \"19 minutes\"], [\"what did I read on 2014/05/11?\", \"social media\"], [\"Did I read on 2014/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/12\": {\"breakfast\": {\"eid\": \"e6700\", \"logical_representation\": [\"2014/05/12\", \"breakfast\", \"toast and cheese\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6701\", \"logical_representation\": [\"2014/05/12\", \"lunch\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had indian food for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/05/12?\", \"Emily\"], [\"what did I eat for lunch on 2014/05/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6702\", \"logical_representation\": [\"2014/05/12\", \"Avery, Nevaeh, Piper, Olivia\", \"during lunch hours\", \"52 minutes\"], \"text_template_based\": \"I talked to Avery, Nevaeh, Piper, Olivia for 52 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Piper, Olivia during lunch hours on 2014/05/12?\", \"52 minutes\"], [\"who did I talk to on 2014/05/12?\", \"Avery, Nevaeh, Piper, Olivia\"], [\"Did I talk to Avery, Nevaeh, Piper, Olivia on 2014/05/12?\", \"yes\"], [\"Did I talk to anyone on 2014/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6703\", \"logical_representation\": [\"2014/05/12\", \"Nevaeh, Avery, Nora\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Nevaeh, Avery, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Nora in the early afternoon on 2014/05/12?\", \"24 minutes\"], [\"who did I talk to on 2014/05/12?\", \"Nevaeh, Avery, Nora\"], [\"Did I talk to Nevaeh, Avery, Nora on 2014/05/12?\", \"yes\"], [\"Did I talk to anyone on 2014/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6704\", \"logical_representation\": [\"2014/05/12\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/05/12?\", \"37 minutes\"], [\"what did I read on 2014/05/12?\", \"social media\"], [\"Did I read on 2014/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6705\", \"logical_representation\": [\"2014/05/12\", \"a movie\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/12?\", \"42 minutes\"], [\"what did I watch on tv on 2014/05/12?\", \"a movie\"], [\"Did I watch tv on 2014/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/13\": {\"breakfast\": {\"eid\": \"e6706\", \"logical_representation\": [\"2014/05/13\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had pancakes for breakfast with Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/05/13?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2014/05/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6707\", \"logical_representation\": [\"2014/05/13\", \"lunch\", \"steak\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/05/13?\", \"Andrew\"], [\"what did I eat for lunch on 2014/05/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6708\", \"logical_representation\": [\"2014/05/13\", \"dinner\", \"steak\", \"Nevaeh, Avery, Nora, Hazel, Piper\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/05/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6709\", \"logical_representation\": [\"2014/05/13\", \"Hazel, Eva, Lydia, Claire\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Hazel, Eva, Lydia, Claire for 5 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Eva, Lydia, Claire in the early evening on 2014/05/13?\", \"5 minutes\"], [\"who did I talk to on 2014/05/13?\", \"Hazel, Eva, Lydia, Claire\"], [\"Did I talk to Hazel, Eva, Lydia, Claire on 2014/05/13?\", \"yes\"], [\"Did I talk to anyone on 2014/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6710\", \"logical_representation\": [\"2014/05/13\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/05/13?\", \"45 minutes\"], [\"what did I read on 2014/05/13?\", \"news\"], [\"Did I read on 2014/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/14\": {\"exercise\": {\"eid\": \"e6711\", \"logical_representation\": [\"2014/05/14\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/05/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/14?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6712\", \"logical_representation\": [\"2014/05/14\", \"lunch\", \"sandwich\", \"Hazel, Avery, Rylee, Nora, Piper, Piper, Nevaeh\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6713\", \"logical_representation\": [\"2014/05/14\", \"dinner\", \"sushi\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had sushi for dinner with Emily, Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/05/14?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for dinner on 2014/05/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6714\", \"logical_representation\": [\"2014/05/14\", \"Rylee, Nora, Kinsley, Nevaeh\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Rylee, Nora, Kinsley, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Kinsley, Nevaeh in the early evening on 2014/05/14?\", \"52 minutes\"], [\"who did I talk to on 2014/05/14?\", \"Rylee, Nora, Kinsley, Nevaeh\"], [\"Did I talk to Rylee, Nora, Kinsley, Nevaeh on 2014/05/14?\", \"yes\"], [\"Did I talk to anyone on 2014/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6715\", \"logical_representation\": [\"2014/05/14\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I watched a documentary for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/14?\", \"40 minutes\"], [\"what did I watch on tv on 2014/05/14?\", \"a documentary\"], [\"Did I watch tv on 2014/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/16\": {\"exercise\": {\"eid\": \"e6719\", \"logical_representation\": [\"2014/05/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/05/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6720\", \"logical_representation\": [\"2014/05/16\", \"breakfast\", \"cereals\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had cereals for breakfast with Emily, Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/05/16?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2014/05/16\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6721\", \"logical_representation\": [\"2014/05/16\", \"dinner\", \"pasta\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/05/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6722\", \"logical_representation\": [\"2014/05/16\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/05/16?\", \"13 minutes\"], [\"what did I read on 2014/05/16?\", \"social media\"], [\"Did I read on 2014/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6723\", \"logical_representation\": [\"2014/05/16\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/16?\", \"49 minutes\"], [\"what did I watch on tv on 2014/05/16?\", \"news\"], [\"Did I watch tv on 2014/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/17\": {\"breakfast\": {\"eid\": \"e6724\", \"logical_representation\": [\"2014/05/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Avery, Layla, Nevaeh, Olivia, Claire\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6725\", \"logical_representation\": [\"2014/05/17\", \"lunch\", \"tacos\", \"Carter\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6726\", \"logical_representation\": [\"2014/05/17\", \"Piper\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2014/05/17?\", \"50 minutes\"], [\"who did I talk to on 2014/05/17?\", \"Piper\"], [\"Did I talk to Piper on 2014/05/17?\", \"yes\"], [\"Did I talk to anyone on 2014/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6727\", \"logical_representation\": [\"2014/05/17\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/17?\", \"34 minutes\"], [\"what did I watch on tv on 2014/05/17?\", \"news\"], [\"Did I watch tv on 2014/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/19\": {\"exercise\": {\"eid\": \"e6734\", \"logical_representation\": [\"2014/05/19\", \"running\"], \"text_template_based\": \"I did running on 2014/05/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6735\", \"logical_representation\": [\"2014/05/19\", \"dinner\", \"sandwich\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/05/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6736\", \"logical_representation\": [\"2014/05/19\", \"Piper\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2014/05/19?\", \"40 minutes\"], [\"who did I talk to on 2014/05/19?\", \"Piper\"], [\"Did I talk to Piper on 2014/05/19?\", \"yes\"], [\"Did I talk to anyone on 2014/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6737\", \"logical_representation\": [\"2014/05/19\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I watched a tv series for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/19?\", \"22 minutes\"], [\"what did I watch on tv on 2014/05/19?\", \"a tv series\"], [\"Did I watch tv on 2014/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/20\": {\"breakfast\": {\"eid\": \"e6738\", \"logical_representation\": [\"2014/05/20\", \"breakfast\", \"oatmeal\", \"Rylee, Layla\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6739\", \"logical_representation\": [\"2014/05/20\", \"lunch\", \"indian food\", \"Nevaeh, Olivia, Eva, Kinsley\"], \"text_template_based\": \"I had lunch with Nevaeh, Olivia, Eva, Kinsley. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/05/20?\", \"Nevaeh, Olivia, Eva, Kinsley\"], [\"what did I eat for lunch on 2014/05/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6740\", \"logical_representation\": [\"2014/05/20\", \"dinner\", \"fish and chips\", \"Andrew, Emily\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/05/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6741\", \"logical_representation\": [\"2014/05/20\", \"Nevaeh, Olivia, Layla, Eva\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Layla, Eva for 29 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Layla, Eva in the early evening on 2014/05/20?\", \"29 minutes\"], [\"who did I talk to on 2014/05/20?\", \"Nevaeh, Olivia, Layla, Eva\"], [\"Did I talk to Nevaeh, Olivia, Layla, Eva on 2014/05/20?\", \"yes\"], [\"Did I talk to anyone on 2014/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6742\", \"logical_representation\": [\"2014/05/20\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/05/20?\", \"18 minutes\"], [\"what did I read on 2014/05/20?\", \"social media\"], [\"Did I read on 2014/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6743\", \"logical_representation\": [\"2014/05/20\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/20?\", \"44 minutes\"], [\"what did I watch on tv on 2014/05/20?\", \"a documentary\"], [\"Did I watch tv on 2014/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/21\": {\"breakfast\": {\"eid\": \"e6744\", \"logical_representation\": [\"2014/05/21\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6745\", \"logical_representation\": [\"2014/05/21\", \"lunch\", \"chinese food\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6746\", \"logical_representation\": [\"2014/05/21\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/05/21?\", \"14 minutes\"], [\"what did I read on 2014/05/21?\", \"a book\"], [\"Did I read on 2014/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6747\", \"logical_representation\": [\"2014/05/21\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/21?\", \"28 minutes\"], [\"what did I watch on tv on 2014/05/21?\", \"a movie\"], [\"Did I watch tv on 2014/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/22\": {\"exercise\": {\"eid\": \"e6748\", \"logical_representation\": [\"2014/05/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/05/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6749\", \"logical_representation\": [\"2014/05/22\", \"dinner\", \"indian food\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/05/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6750\", \"logical_representation\": [\"2014/05/22\", \"Piper, Kinsley, Eva, Piper\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Eva, Piper for 14 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Eva, Piper late in the evening on 2014/05/22?\", \"14 minutes\"], [\"who did I talk to on 2014/05/22?\", \"Piper, Kinsley, Eva, Piper\"], [\"Did I talk to Piper, Kinsley, Eva, Piper on 2014/05/22?\", \"yes\"], [\"Did I talk to anyone on 2014/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/23\": {\"read\": {\"eid\": \"e6751\", \"logical_representation\": [\"2014/05/23\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/05/23?\", \"16 minutes\"], [\"what did I read on 2014/05/23?\", \"news\"], [\"Did I read on 2014/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/24\": {\"breakfast\": {\"eid\": \"e6752\", \"logical_representation\": [\"2014/05/24\", \"breakfast\", \"toast and cheese\", \"Rylee, Piper\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6753\", \"logical_representation\": [\"2014/05/24\", \"dinner\", \"sandwich\", \"Hazel\"], \"text_template_based\": \"I had dinner with Hazel. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/05/24?\", \"Hazel\"], [\"what did I eat for dinner on 2014/05/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6754\", \"logical_representation\": [\"2014/05/24\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I watched a documentary for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/24?\", \"7 minutes\"], [\"what did I watch on tv on 2014/05/24?\", \"a documentary\"], [\"Did I watch tv on 2014/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/25\": {\"breakfast\": {\"eid\": \"e6755\", \"logical_representation\": [\"2014/05/25\", \"breakfast\", \"pancakes\", \"Claire, Piper, Lydia, Rylee, Kinsley\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/25\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6756\", \"logical_representation\": [\"2014/05/25\", \"Kinsley\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Kinsley for 10 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2014/05/25?\", \"10 minutes\"], [\"who did I talk to on 2014/05/25?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2014/05/25?\", \"yes\"], [\"Did I talk to anyone on 2014/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6757\", \"logical_representation\": [\"2014/05/25\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/05/25?\", \"32 minutes\"], [\"what did I read on 2014/05/25?\", \"news\"], [\"Did I read on 2014/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6758\", \"logical_representation\": [\"2014/05/25\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/25?\", \"35 minutes\"], [\"what did I watch on tv on 2014/05/25?\", \"a tv series\"], [\"Did I watch tv on 2014/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/27\": {\"social media\": {\"eid\": \"e6762\", \"logical_representation\": [\"2014/05/27\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/05/27?\", \"8 minutes\"], [\"what did I read on 2014/05/27?\", \"social media\"], [\"Did I read on 2014/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6763\", \"logical_representation\": [\"2014/05/27\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/27?\", \"43 minutes\"], [\"what did I watch on tv on 2014/05/27?\", \"news\"], [\"Did I watch tv on 2014/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/28\": {\"breakfast\": {\"eid\": \"e6764\", \"logical_representation\": [\"2014/05/28\", \"breakfast\", \"pancakes\", \"Claire, Olivia, Layla, Eva\"], \"text_template_based\": \"I had pancakes for breakfast with Claire, Olivia, Layla, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/05/28?\", \"Claire, Olivia, Layla, Eva\"], [\"what did I eat for breakfast on 2014/05/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6765\", \"logical_representation\": [\"2014/05/28\", \"Nora, Piper, Olivia, Hazel\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Olivia, Hazel for 14 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Olivia, Hazel late in the evening on 2014/05/28?\", \"14 minutes\"], [\"who did I talk to on 2014/05/28?\", \"Nora, Piper, Olivia, Hazel\"], [\"Did I talk to Nora, Piper, Olivia, Hazel on 2014/05/28?\", \"yes\"], [\"Did I talk to anyone on 2014/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6766\", \"logical_representation\": [\"2014/05/28\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/05/28?\", \"54 minutes\"], [\"what did I read on 2014/05/28?\", \"social media\"], [\"Did I read on 2014/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6767\", \"logical_representation\": [\"2014/05/28\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I watched a tv series for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/28?\", \"8 minutes\"], [\"what did I watch on tv on 2014/05/28?\", \"a tv series\"], [\"Did I watch tv on 2014/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/29\": {\"exercise\": {\"eid\": \"e6768\", \"logical_representation\": [\"2014/05/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/05/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6769\", \"logical_representation\": [\"2014/05/29\", \"Piper, Olivia\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Piper, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the morning on 2014/05/29?\", \"17 minutes\"], [\"who did I talk to on 2014/05/29?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2014/05/29?\", \"yes\"], [\"Did I talk to anyone on 2014/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6770\", \"logical_representation\": [\"2014/05/29\", \"Nora, Lydia, Kinsley\", \"in the early afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Nora, Lydia, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Kinsley in the early afternoon on 2014/05/29?\", \"55 minutes\"], [\"who did I talk to on 2014/05/29?\", \"Nora, Lydia, Kinsley\"], [\"Did I talk to Nora, Lydia, Kinsley on 2014/05/29?\", \"yes\"], [\"Did I talk to anyone on 2014/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/30\": {\"breakfast\": {\"eid\": \"e6771\", \"logical_representation\": [\"2014/05/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6772\", \"logical_representation\": [\"2014/05/30\", \"lunch\", \"sandwich\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Emily, Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/05/30?\", \"Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2014/05/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6773\", \"logical_representation\": [\"2014/05/30\", \"Lydia, Nora\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Lydia, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora late in the evening on 2014/05/30?\", \"6 minutes\"], [\"who did I talk to on 2014/05/30?\", \"Lydia, Nora\"], [\"Did I talk to Lydia, Nora on 2014/05/30?\", \"yes\"], [\"Did I talk to anyone on 2014/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6774\", \"logical_representation\": [\"2014/05/30\", \"Hazel, Avery\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Hazel, Avery for 45 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery in the late afternoon on 2014/05/30?\", \"45 minutes\"], [\"who did I talk to on 2014/05/30?\", \"Hazel, Avery\"], [\"Did I talk to Hazel, Avery on 2014/05/30?\", \"yes\"], [\"Did I talk to anyone on 2014/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/31\": {\"exercise\": {\"eid\": \"e6775\", \"logical_representation\": [\"2014/05/31\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/05/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/31?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6776\", \"logical_representation\": [\"2014/05/31\", \"breakfast\", \"cereals\", \"Avery, Layla, Piper, Rylee, Nevaeh, Piper, Claire, Olivia\"], \"text_template_based\": \"I had cereals for breakfast with Avery, Layla, Piper, Rylee, Nevaeh, Piper, Claire, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/05/31?\", \"Avery, Layla, Piper, Rylee, Nevaeh, Piper, Claire, Olivia\"], [\"what did I eat for breakfast on 2014/05/31\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6777\", \"logical_representation\": [\"2014/05/31\", \"Hazel, Rylee, Avery\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Hazel, Rylee, Avery for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee, Avery in the morning on 2014/05/31?\", \"32 minutes\"], [\"who did I talk to on 2014/05/31?\", \"Hazel, Rylee, Avery\"], [\"Did I talk to Hazel, Rylee, Avery on 2014/05/31?\", \"yes\"], [\"Did I talk to anyone on 2014/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/01\": {\"lunch\": {\"eid\": \"e6778\", \"logical_representation\": [\"2014/06/01\", \"lunch\", \"sandwich\", \"Piper, Nevaeh, Layla\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6779\", \"logical_representation\": [\"2014/06/01\", \"Nevaeh\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2014/06/01?\", \"29 minutes\"], [\"who did I talk to on 2014/06/01?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2014/06/01?\", \"yes\"], [\"Did I talk to anyone on 2014/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6780\", \"logical_representation\": [\"2014/06/01\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/06/01?\", \"35 minutes\"], [\"what did I read on 2014/06/01?\", \"a book\"], [\"Did I read on 2014/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6781\", \"logical_representation\": [\"2014/06/01\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/01?\", \"37 minutes\"], [\"what did I watch on tv on 2014/06/01?\", \"a movie\"], [\"Did I watch tv on 2014/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/02\": {\"exercise\": {\"eid\": \"e6782\", \"logical_representation\": [\"2014/06/02\", \"biking\"], \"text_template_based\": \"I did biking on 2014/06/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/02?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6783\", \"logical_representation\": [\"2014/06/02\", \"lunch\", \"sandwich\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/06/02?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2014/06/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6784\", \"logical_representation\": [\"2014/06/02\", \"dinner\", \"sushi\", \"Rylee, Nevaeh, Nora, Avery, Claire, Olivia, Lydia, Piper\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/06/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6785\", \"logical_representation\": [\"2014/06/02\", \"Piper\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2014/06/02?\", \"34 minutes\"], [\"who did I talk to on 2014/06/02?\", \"Piper\"], [\"Did I talk to Piper on 2014/06/02?\", \"yes\"], [\"Did I talk to anyone on 2014/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6786\", \"logical_representation\": [\"2014/06/02\", \"a tv series\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/02?\", \"51 minutes\"], [\"what did I watch on tv on 2014/06/02?\", \"a tv series\"], [\"Did I watch tv on 2014/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/05\": {\"exercise\": {\"eid\": \"e6795\", \"logical_representation\": [\"2014/06/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/06/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6796\", \"logical_representation\": [\"2014/06/05\", \"breakfast\", \"cereals\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/06/05\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6797\", \"logical_representation\": [\"2014/06/05\", \"lunch\", \"sushi\", \"Kinsley, Hazel, Eva, Olivia, Lydia\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6798\", \"logical_representation\": [\"2014/06/05\", \"Layla\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Layla for 10 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2014/06/05?\", \"10 minutes\"], [\"who did I talk to on 2014/06/05?\", \"Layla\"], [\"Did I talk to Layla on 2014/06/05?\", \"yes\"], [\"Did I talk to anyone on 2014/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6799\", \"logical_representation\": [\"2014/06/05\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/06/05?\", \"55 minutes\"], [\"what did I read on 2014/06/05?\", \"a book\"], [\"Did I read on 2014/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/06\": {\"exercise\": {\"eid\": \"e6800\", \"logical_representation\": [\"2014/06/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/06/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6801\", \"logical_representation\": [\"2014/06/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Rylee, Nevaeh, Nora, Lydia, Kinsley, Avery, Claire, Piper, Eva, Olivia, Layla\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/06/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6802\", \"logical_representation\": [\"2014/06/06\", \"dinner\", \"pasta\", \"Piper, Lydia, Nora, Hazel, Nevaeh\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/06/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6803\", \"logical_representation\": [\"2014/06/06\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/06/06?\", \"22 minutes\"], [\"what did I read on 2014/06/06?\", \"a book\"], [\"Did I read on 2014/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/07\": {\"exercise\": {\"eid\": \"e6804\", \"logical_representation\": [\"2014/06/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/06/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6805\", \"logical_representation\": [\"2014/06/07\", \"a documentary\", \"28 minutes\"], \"text_template_based\": \"I watched a documentary for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/07?\", \"28 minutes\"], [\"what did I watch on tv on 2014/06/07?\", \"a documentary\"], [\"Did I watch tv on 2014/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/08\": {\"exercise\": {\"eid\": \"e6806\", \"logical_representation\": [\"2014/06/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/06/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6807\", \"logical_representation\": [\"2014/06/08\", \"breakfast\", \"cereals\", \"Jackson, Avery\"], \"text_template_based\": \"I had breakfast with Jackson, Avery. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/06/08?\", \"Jackson, Avery\"], [\"what did I eat for breakfast on 2014/06/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6808\", \"logical_representation\": [\"2014/06/08\", \"Eva, Piper\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Eva, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper in the early afternoon on 2014/06/08?\", \"10 minutes\"], [\"who did I talk to on 2014/06/08?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2014/06/08?\", \"yes\"], [\"Did I talk to anyone on 2014/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6809\", \"logical_representation\": [\"2014/06/08\", \"news\", \"18 minutes\"], \"text_template_based\": \"I watched news for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/08?\", \"18 minutes\"], [\"what did I watch on tv on 2014/06/08?\", \"news\"], [\"Did I watch tv on 2014/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/10\": {\"exercise\": {\"eid\": \"e6816\", \"logical_representation\": [\"2014/06/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/06/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6817\", \"logical_representation\": [\"2014/06/10\", \"lunch\", \"sandwich\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6818\", \"logical_representation\": [\"2014/06/10\", \"Hazel, Nora\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I talked to Hazel, Nora for 33 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora in the morning on 2014/06/10?\", \"33 minutes\"], [\"who did I talk to on 2014/06/10?\", \"Hazel, Nora\"], [\"Did I talk to Hazel, Nora on 2014/06/10?\", \"yes\"], [\"Did I talk to anyone on 2014/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6819\", \"logical_representation\": [\"2014/06/10\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/06/10?\", \"8 minutes\"], [\"what did I read on 2014/06/10?\", \"a book\"], [\"Did I read on 2014/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6820\", \"logical_representation\": [\"2014/06/10\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I watched a tv series for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/10?\", \"9 minutes\"], [\"what did I watch on tv on 2014/06/10?\", \"a tv series\"], [\"Did I watch tv on 2014/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/13\": {\"exercise\": {\"eid\": \"e6826\", \"logical_representation\": [\"2014/06/13\", \"running\"], \"text_template_based\": \"I did running on 2014/06/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/13?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6827\", \"logical_representation\": [\"2014/06/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/06/13?\", \"Emily, Carter\"], [\"what did I eat for breakfast on 2014/06/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6828\", \"logical_representation\": [\"2014/06/13\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/06/13?\", \"54 minutes\"], [\"what did I read on 2014/06/13?\", \"news\"], [\"Did I read on 2014/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/14\": {\"breakfast\": {\"eid\": \"e6829\", \"logical_representation\": [\"2014/06/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Piper\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/06/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6830\", \"logical_representation\": [\"2014/06/14\", \"Claire, Olivia, Kinsley, Piper\", \"late in the evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia, Kinsley, Piper for 23 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Kinsley, Piper late in the evening on 2014/06/14?\", \"23 minutes\"], [\"who did I talk to on 2014/06/14?\", \"Claire, Olivia, Kinsley, Piper\"], [\"Did I talk to Claire, Olivia, Kinsley, Piper on 2014/06/14?\", \"yes\"], [\"Did I talk to anyone on 2014/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6831\", \"logical_representation\": [\"2014/06/14\", \"Piper, Olivia\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Piper, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the early afternoon on 2014/06/14?\", \"38 minutes\"], [\"who did I talk to on 2014/06/14?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2014/06/14?\", \"yes\"], [\"Did I talk to anyone on 2014/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6832\", \"logical_representation\": [\"2014/06/14\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/06/14?\", \"25 minutes\"], [\"what did I read on 2014/06/14?\", \"a book\"], [\"Did I read on 2014/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/16\": {\"exercise\": {\"eid\": \"e6839\", \"logical_representation\": [\"2014/06/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/06/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6840\", \"logical_representation\": [\"2014/06/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/06/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6841\", \"logical_representation\": [\"2014/06/16\", \"lunch\", \"a burger\", \"Lydia\"], \"text_template_based\": \"I had a burger for lunch with Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/06/16?\", \"Lydia\"], [\"what did I eat for lunch on 2014/06/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6842\", \"logical_representation\": [\"2014/06/16\", \"dinner\", \"indian food\", \"Willow\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/06/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6843\", \"logical_representation\": [\"2014/06/16\", \"Claire, Olivia, Nora\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Claire, Olivia, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Nora during lunch hours on 2014/06/16?\", \"39 minutes\"], [\"who did I talk to on 2014/06/16?\", \"Claire, Olivia, Nora\"], [\"Did I talk to Claire, Olivia, Nora on 2014/06/16?\", \"yes\"], [\"Did I talk to anyone on 2014/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6844\", \"logical_representation\": [\"2014/06/16\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/06/16?\", \"41 minutes\"], [\"what did I read on 2014/06/16?\", \"news\"], [\"Did I read on 2014/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6845\", \"logical_representation\": [\"2014/06/16\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/16?\", \"25 minutes\"], [\"what did I watch on tv on 2014/06/16?\", \"news\"], [\"Did I watch tv on 2014/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/17\": {\"breakfast\": {\"eid\": \"e6846\", \"logical_representation\": [\"2014/06/17\", \"breakfast\", \"cereals\", \"Avery\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/06/17\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6847\", \"logical_representation\": [\"2014/06/17\", \"lunch\", \"pasta\", \"Layla, Lydia, Piper\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6848\", \"logical_representation\": [\"2014/06/17\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I watched a tv series for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/17?\", \"43 minutes\"], [\"what did I watch on tv on 2014/06/17?\", \"a tv series\"], [\"Did I watch tv on 2014/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/18\": {\"exercise\": {\"eid\": \"e6849\", \"logical_representation\": [\"2014/06/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/06/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6850\", \"logical_representation\": [\"2014/06/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/06/18?\", \"Emily\"], [\"what did I eat for breakfast on 2014/06/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6851\", \"logical_representation\": [\"2014/06/18\", \"dinner\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/06/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6852\", \"logical_representation\": [\"2014/06/18\", \"Lydia, Olivia, Avery\", \"in the early afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia, Avery for 5 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Avery in the early afternoon on 2014/06/18?\", \"5 minutes\"], [\"who did I talk to on 2014/06/18?\", \"Lydia, Olivia, Avery\"], [\"Did I talk to Lydia, Olivia, Avery on 2014/06/18?\", \"yes\"], [\"Did I talk to anyone on 2014/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6853\", \"logical_representation\": [\"2014/06/18\", \"a movie\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/18?\", \"49 minutes\"], [\"what did I watch on tv on 2014/06/18?\", \"a movie\"], [\"Did I watch tv on 2014/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/19\": {\"exercise\": {\"eid\": \"e6854\", \"logical_representation\": [\"2014/06/19\", \"biking\"], \"text_template_based\": \"I did biking on 2014/06/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6855\", \"logical_representation\": [\"2014/06/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Andrew, Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/06/19?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for breakfast on 2014/06/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6856\", \"logical_representation\": [\"2014/06/19\", \"lunch\", \"indian food\", \"Willow, Jackson\"], \"text_template_based\": \"I had indian food for lunch with Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/06/19?\", \"Willow, Jackson\"], [\"what did I eat for lunch on 2014/06/19\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6857\", \"logical_representation\": [\"2014/06/19\", \"dinner\", \"a burger\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/06/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6858\", \"logical_representation\": [\"2014/06/19\", \"Piper, Rylee\", \"late in the evening\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Piper, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee late in the evening on 2014/06/19?\", \"54 minutes\"], [\"who did I talk to on 2014/06/19?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2014/06/19?\", \"yes\"], [\"Did I talk to anyone on 2014/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6859\", \"logical_representation\": [\"2014/06/19\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/06/19?\", \"32 minutes\"], [\"what did I read on 2014/06/19?\", \"a book\"], [\"Did I read on 2014/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6860\", \"logical_representation\": [\"2014/06/19\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I watched a movie for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/19?\", \"6 minutes\"], [\"what did I watch on tv on 2014/06/19?\", \"a movie\"], [\"Did I watch tv on 2014/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/21\": {\"exercise\": {\"eid\": \"e6864\", \"logical_representation\": [\"2014/06/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/06/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6865\", \"logical_representation\": [\"2014/06/21\", \"lunch\", \"chinese food\", \"Avery, Jackson\"], \"text_template_based\": \"I had lunch with Avery, Jackson. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/06/21?\", \"Avery, Jackson\"], [\"what did I eat for lunch on 2014/06/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6866\", \"logical_representation\": [\"2014/06/21\", \"dinner\", \"chinese food\", \"Piper, Piper, Nevaeh, Hazel, Eva, Nora, Olivia, Rylee\"], \"text_template_based\": \"I had dinner with Piper, Piper, Nevaeh, Hazel, Eva, Nora, Olivia, Rylee. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/06/21?\", \"Piper, Piper, Nevaeh, Hazel, Eva, Nora, Olivia, Rylee\"], [\"what did I eat for dinner on 2014/06/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6867\", \"logical_representation\": [\"2014/06/21\", \"Hazel\", \"in the late afternoon\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2014/06/21?\", \"35 minutes\"], [\"who did I talk to on 2014/06/21?\", \"Hazel\"], [\"Did I talk to Hazel on 2014/06/21?\", \"yes\"], [\"Did I talk to anyone on 2014/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/24\": {\"exercise\": {\"eid\": \"e6876\", \"logical_representation\": [\"2014/06/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/06/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6877\", \"logical_representation\": [\"2014/06/24\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/06/24?\", \"34 minutes\"], [\"what did I read on 2014/06/24?\", \"news\"], [\"Did I read on 2014/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/25\": {\"lunch\": {\"eid\": \"e6878\", \"logical_representation\": [\"2014/06/25\", \"lunch\", \"pasta\", \"Jackson\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/25\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2014/06/26\": {\"chat0\": {\"eid\": \"e6879\", \"logical_representation\": [\"2014/06/26\", \"Nora, Nevaeh, Kinsley\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Nora, Nevaeh, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Kinsley in the late afternoon on 2014/06/26?\", \"14 minutes\"], [\"who did I talk to on 2014/06/26?\", \"Nora, Nevaeh, Kinsley\"], [\"Did I talk to Nora, Nevaeh, Kinsley on 2014/06/26?\", \"yes\"], [\"Did I talk to anyone on 2014/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6880\", \"logical_representation\": [\"2014/06/26\", \"Claire\", \"in the early evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2014/06/26?\", \"45 minutes\"], [\"who did I talk to on 2014/06/26?\", \"Claire\"], [\"Did I talk to Claire on 2014/06/26?\", \"yes\"], [\"Did I talk to anyone on 2014/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6881\", \"logical_representation\": [\"2014/06/26\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/26?\", \"20 minutes\"], [\"what did I watch on tv on 2014/06/26?\", \"a documentary\"], [\"Did I watch tv on 2014/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/27\": {\"breakfast\": {\"eid\": \"e6882\", \"logical_representation\": [\"2014/06/27\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/06/27?\", \"Kayden\"], [\"what did I eat for breakfast on 2014/06/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6883\", \"logical_representation\": [\"2014/06/27\", \"lunch\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6884\", \"logical_representation\": [\"2014/06/27\", \"news\", \"28 minutes\"], \"text_template_based\": \"I watched news for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/27?\", \"28 minutes\"], [\"what did I watch on tv on 2014/06/27?\", \"news\"], [\"Did I watch tv on 2014/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/29\": {\"lunch\": {\"eid\": \"e6888\", \"logical_representation\": [\"2014/06/29\", \"lunch\", \"fish and chips\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/06/29?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2014/06/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6889\", \"logical_representation\": [\"2014/06/29\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/06/29?\", \"37 minutes\"], [\"what did I read on 2014/06/29?\", \"social media\"], [\"Did I read on 2014/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/30\": {\"exercise\": {\"eid\": \"e6890\", \"logical_representation\": [\"2014/06/30\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/06/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/30?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6891\", \"logical_representation\": [\"2014/06/30\", \"breakfast\", \"toast and cheese\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/06/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6892\", \"logical_representation\": [\"2014/06/30\", \"lunch\", \"fish and chips\", \"Emily, Andrew\"], \"text_template_based\": \"I had fish and chips for lunch with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/06/30?\", \"Emily, Andrew\"], [\"what did I eat for lunch on 2014/06/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6893\", \"logical_representation\": [\"2014/06/30\", \"dinner\", \"indian food\", \"Nevaeh, Avery, Hazel, Piper, Rylee, Kinsley, Olivia\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/06/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6894\", \"logical_representation\": [\"2014/06/30\", \"Hazel\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2014/06/30?\", \"54 minutes\"], [\"who did I talk to on 2014/06/30?\", \"Hazel\"], [\"Did I talk to Hazel on 2014/06/30?\", \"yes\"], [\"Did I talk to anyone on 2014/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6895\", \"logical_representation\": [\"2014/06/30\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I watched a tv series for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/30?\", \"13 minutes\"], [\"what did I watch on tv on 2014/06/30?\", \"a tv series\"], [\"Did I watch tv on 2014/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/01\": {\"breakfast\": {\"eid\": \"e6896\", \"logical_representation\": [\"2014/07/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/07/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6897\", \"logical_representation\": [\"2014/07/01\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/07/01?\", \"41 minutes\"], [\"what did I read on 2014/07/01?\", \"a book\"], [\"Did I read on 2014/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/02\": {\"breakfast\": {\"eid\": \"e6898\", \"logical_representation\": [\"2014/07/02\", \"breakfast\", \"oatmeal\", \"Piper, Piper, Claire, Nevaeh, Eva, Nora\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/07/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6899\", \"logical_representation\": [\"2014/07/02\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/07/02?\", \"42 minutes\"], [\"what did I read on 2014/07/02?\", \"social media\"], [\"Did I read on 2014/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/04\": {\"breakfast\": {\"eid\": \"e6905\", \"logical_representation\": [\"2014/07/04\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Avery\"], \"text_template_based\": \"I had breakfast with Jackson, Avery. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/07/04?\", \"Jackson, Avery\"], [\"what did I eat for breakfast on 2014/07/04\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6906\", \"logical_representation\": [\"2014/07/04\", \"lunch\", \"pasta\", \"Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/07/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6907\", \"logical_representation\": [\"2014/07/04\", \"dinner\", \"chinese food\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Emily, Andrew. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/07/04?\", \"Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2014/07/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6908\", \"logical_representation\": [\"2014/07/04\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/04?\", \"27 minutes\"], [\"what did I watch on tv on 2014/07/04?\", \"a documentary\"], [\"Did I watch tv on 2014/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/07\": {\"breakfast\": {\"eid\": \"e6915\", \"logical_representation\": [\"2014/07/07\", \"breakfast\", \"oatmeal\", \"Andrew, Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/07/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6916\", \"logical_representation\": [\"2014/07/07\", \"lunch\", \"indian food\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had lunch with Carter, Kayden, Andrew, Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/07/07?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for lunch on 2014/07/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6917\", \"logical_representation\": [\"2014/07/07\", \"dinner\", \"tacos\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had tacos for dinner with Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/07/07?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for dinner on 2014/07/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6918\", \"logical_representation\": [\"2014/07/07\", \"Piper, Layla, Claire\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Piper, Layla, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Claire in the early evening on 2014/07/07?\", \"39 minutes\"], [\"who did I talk to on 2014/07/07?\", \"Piper, Layla, Claire\"], [\"Did I talk to Piper, Layla, Claire on 2014/07/07?\", \"yes\"], [\"Did I talk to anyone on 2014/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6919\", \"logical_representation\": [\"2014/07/07\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/07/07?\", \"54 minutes\"], [\"what did I read on 2014/07/07?\", \"social media\"], [\"Did I read on 2014/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/08\": {\"breakfast\": {\"eid\": \"e6920\", \"logical_representation\": [\"2014/07/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Lydia\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/07/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6921\", \"logical_representation\": [\"2014/07/08\", \"lunch\", \"sandwich\", \"Lydia, Kinsley, Piper, Layla\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/07/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6922\", \"logical_representation\": [\"2014/07/08\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/07/08?\", \"52 minutes\"], [\"what did I read on 2014/07/08?\", \"social media\"], [\"Did I read on 2014/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6923\", \"logical_representation\": [\"2014/07/08\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/08?\", \"13 minutes\"], [\"what did I watch on tv on 2014/07/08?\", \"a documentary\"], [\"Did I watch tv on 2014/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/09\": {\"exercise\": {\"eid\": \"e6924\", \"logical_representation\": [\"2014/07/09\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/07/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/09?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6925\", \"logical_representation\": [\"2014/07/09\", \"breakfast\", \"toast and cheese\", \"Piper, Eva, Nora, Layla, Claire, Olivia, Piper\"], \"text_template_based\": \"I had toast and cheese for breakfast with Piper, Eva, Nora, Layla, Claire, Olivia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/07/09?\", \"Piper, Eva, Nora, Layla, Claire, Olivia, Piper\"], [\"what did I eat for breakfast on 2014/07/09\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6926\", \"logical_representation\": [\"2014/07/09\", \"Piper\", \"in the late afternoon\", \"22 minutes\"], \"text_template_based\": \"I talked to Piper for 22 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2014/07/09?\", \"22 minutes\"], [\"who did I talk to on 2014/07/09?\", \"Piper\"], [\"Did I talk to Piper on 2014/07/09?\", \"yes\"], [\"Did I talk to anyone on 2014/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6927\", \"logical_representation\": [\"2014/07/09\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/07/09?\", \"17 minutes\"], [\"what did I read on 2014/07/09?\", \"a book\"], [\"Did I read on 2014/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6928\", \"logical_representation\": [\"2014/07/09\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I watched a documentary for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/09?\", \"53 minutes\"], [\"what did I watch on tv on 2014/07/09?\", \"a documentary\"], [\"Did I watch tv on 2014/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/10\": {\"exercise\": {\"eid\": \"e6929\", \"logical_representation\": [\"2014/07/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6930\", \"logical_representation\": [\"2014/07/10\", \"Nora, Nevaeh, Avery, Kinsley\", \"late in the evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Nora, Nevaeh, Avery, Kinsley for 51 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Avery, Kinsley late in the evening on 2014/07/10?\", \"51 minutes\"], [\"who did I talk to on 2014/07/10?\", \"Nora, Nevaeh, Avery, Kinsley\"], [\"Did I talk to Nora, Nevaeh, Avery, Kinsley on 2014/07/10?\", \"yes\"], [\"Did I talk to anyone on 2014/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6931\", \"logical_representation\": [\"2014/07/10\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I watched a documentary for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/10?\", \"33 minutes\"], [\"what did I watch on tv on 2014/07/10?\", \"a documentary\"], [\"Did I watch tv on 2014/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/12\": {\"exercise\": {\"eid\": \"e6937\", \"logical_representation\": [\"2014/07/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/07/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6938\", \"logical_representation\": [\"2014/07/12\", \"dinner\", \"sandwich\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had sandwich for dinner with Avery, Benjamin, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/07/12?\", \"Avery, Benjamin, Jackson, Willow\"], [\"what did I eat for dinner on 2014/07/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6939\", \"logical_representation\": [\"2014/07/12\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/07/12?\", \"15 minutes\"], [\"what did I read on 2014/07/12?\", \"news\"], [\"Did I read on 2014/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/13\": {\"exercise\": {\"eid\": \"e6940\", \"logical_representation\": [\"2014/07/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/07/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6941\", \"logical_representation\": [\"2014/07/13\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/07/13?\", \"Andrew\"], [\"what did I eat for breakfast on 2014/07/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/15\": {\"exercise\": {\"eid\": \"e6945\", \"logical_representation\": [\"2014/07/15\", \"running\"], \"text_template_based\": \"I did running on 2014/07/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6946\", \"logical_representation\": [\"2014/07/15\", \"breakfast\", \"oatmeal\", \"Kinsley\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/07/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6947\", \"logical_representation\": [\"2014/07/15\", \"Claire\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I talked to Claire for 13 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2014/07/15?\", \"13 minutes\"], [\"who did I talk to on 2014/07/15?\", \"Claire\"], [\"Did I talk to Claire on 2014/07/15?\", \"yes\"], [\"Did I talk to anyone on 2014/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6948\", \"logical_representation\": [\"2014/07/15\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/15?\", \"43 minutes\"], [\"what did I watch on tv on 2014/07/15?\", \"a documentary\"], [\"Did I watch tv on 2014/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/16\": {\"exercise\": {\"eid\": \"e6949\", \"logical_representation\": [\"2014/07/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/07/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6950\", \"logical_representation\": [\"2014/07/16\", \"lunch\", \"steak\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/07/16?\", \"Carter\"], [\"what did I eat for lunch on 2014/07/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6951\", \"logical_representation\": [\"2014/07/16\", \"Nora, Piper, Nevaeh, Lydia\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Nevaeh, Lydia for 30 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Nevaeh, Lydia late in the evening on 2014/07/16?\", \"30 minutes\"], [\"who did I talk to on 2014/07/16?\", \"Nora, Piper, Nevaeh, Lydia\"], [\"Did I talk to Nora, Piper, Nevaeh, Lydia on 2014/07/16?\", \"yes\"], [\"Did I talk to anyone on 2014/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6952\", \"logical_representation\": [\"2014/07/16\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/07/16?\", \"19 minutes\"], [\"what did I read on 2014/07/16?\", \"a book\"], [\"Did I read on 2014/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/17\": {\"breakfast\": {\"eid\": \"e6953\", \"logical_representation\": [\"2014/07/17\", \"breakfast\", \"cereals\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/07/17\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6954\", \"logical_representation\": [\"2014/07/17\", \"lunch\", \"sushi\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/07/17\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2014/07/18\": {\"exercise\": {\"eid\": \"e6955\", \"logical_representation\": [\"2014/07/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/07/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6956\", \"logical_representation\": [\"2014/07/18\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Nora, Piper, Claire, Eva, Nevaeh, Piper, Hazel, Layla, Olivia\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Rylee, Nora, Piper, Claire, Eva, Nevaeh, Piper, Hazel, Layla, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/07/18?\", \"Rylee, Nora, Piper, Claire, Eva, Nevaeh, Piper, Hazel, Layla, Olivia\"], [\"what did I eat for breakfast on 2014/07/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6957\", \"logical_representation\": [\"2014/07/18\", \"dinner\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had a burger for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/07/18?\", \"Andrew\"], [\"what did I eat for dinner on 2014/07/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6958\", \"logical_representation\": [\"2014/07/18\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/07/18?\", \"40 minutes\"], [\"what did I read on 2014/07/18?\", \"news\"], [\"Did I read on 2014/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6959\", \"logical_representation\": [\"2014/07/18\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I watched a tv series for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/18?\", \"22 minutes\"], [\"what did I watch on tv on 2014/07/18?\", \"a tv series\"], [\"Did I watch tv on 2014/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/19\": {\"exercise\": {\"eid\": \"e6960\", \"logical_representation\": [\"2014/07/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/07/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6961\", \"logical_representation\": [\"2014/07/19\", \"Kinsley, Lydia\", \"in the morning\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Kinsley, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia in the morning on 2014/07/19?\", \"16 minutes\"], [\"who did I talk to on 2014/07/19?\", \"Kinsley, Lydia\"], [\"Did I talk to Kinsley, Lydia on 2014/07/19?\", \"yes\"], [\"Did I talk to anyone on 2014/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6962\", \"logical_representation\": [\"2014/07/19\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/07/19?\", \"45 minutes\"], [\"what did I read on 2014/07/19?\", \"news\"], [\"Did I read on 2014/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6963\", \"logical_representation\": [\"2014/07/19\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/19?\", \"22 minutes\"], [\"what did I watch on tv on 2014/07/19?\", \"news\"], [\"Did I watch tv on 2014/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/20\": {\"breakfast\": {\"eid\": \"e6964\", \"logical_representation\": [\"2014/07/20\", \"breakfast\", \"oatmeal\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/07/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6965\", \"logical_representation\": [\"2014/07/20\", \"lunch\", \"a burger\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I had lunch with Jackson, Benjamin, Willow, Avery. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/07/20?\", \"Jackson, Benjamin, Willow, Avery\"], [\"what did I eat for lunch on 2014/07/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6966\", \"logical_representation\": [\"2014/07/20\", \"Olivia, Hazel, Kinsley\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Olivia, Hazel, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Kinsley in the early evening on 2014/07/20?\", \"25 minutes\"], [\"who did I talk to on 2014/07/20?\", \"Olivia, Hazel, Kinsley\"], [\"Did I talk to Olivia, Hazel, Kinsley on 2014/07/20?\", \"yes\"], [\"Did I talk to anyone on 2014/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6967\", \"logical_representation\": [\"2014/07/20\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I watched a documentary for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/20?\", \"53 minutes\"], [\"what did I watch on tv on 2014/07/20?\", \"a documentary\"], [\"Did I watch tv on 2014/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/22\": {\"exercise\": {\"eid\": \"e6973\", \"logical_representation\": [\"2014/07/22\", \"running\"], \"text_template_based\": \"I did running on 2014/07/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6974\", \"logical_representation\": [\"2014/07/22\", \"dinner\", \"tacos\", \"Avery, Willow\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/07/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6975\", \"logical_representation\": [\"2014/07/22\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/07/22?\", \"9 minutes\"], [\"what did I read on 2014/07/22?\", \"news\"], [\"Did I read on 2014/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/23\": {\"exercise\": {\"eid\": \"e6976\", \"logical_representation\": [\"2014/07/23\", \"running\"], \"text_template_based\": \"I did running on 2014/07/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/23?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2014/07/25\": {\"exercise\": {\"eid\": \"e6980\", \"logical_representation\": [\"2014/07/25\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/07/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/25?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6981\", \"logical_representation\": [\"2014/07/25\", \"breakfast\", \"oatmeal\", \"Eva\"], \"text_template_based\": \"I had oatmeal for breakfast with Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/07/25?\", \"Eva\"], [\"what did I eat for breakfast on 2014/07/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6982\", \"logical_representation\": [\"2014/07/25\", \"lunch\", \"a burger\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had a burger for lunch with Willow, Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/07/25?\", \"Willow, Benjamin, Jackson\"], [\"what did I eat for lunch on 2014/07/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6983\", \"logical_representation\": [\"2014/07/25\", \"Hazel, Nevaeh\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Hazel, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh in the morning on 2014/07/25?\", \"31 minutes\"], [\"who did I talk to on 2014/07/25?\", \"Hazel, Nevaeh\"], [\"Did I talk to Hazel, Nevaeh on 2014/07/25?\", \"yes\"], [\"Did I talk to anyone on 2014/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/27\": {\"exercise\": {\"eid\": \"e6990\", \"logical_representation\": [\"2014/07/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/07/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6991\", \"logical_representation\": [\"2014/07/27\", \"Kinsley, Rylee, Claire\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee, Claire for 8 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Claire in the early afternoon on 2014/07/27?\", \"8 minutes\"], [\"who did I talk to on 2014/07/27?\", \"Kinsley, Rylee, Claire\"], [\"Did I talk to Kinsley, Rylee, Claire on 2014/07/27?\", \"yes\"], [\"Did I talk to anyone on 2014/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e6992\", \"logical_representation\": [\"2014/07/27\", \"Kinsley, Eva, Hazel, Claire\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Kinsley, Eva, Hazel, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Hazel, Claire in the early evening on 2014/07/27?\", \"47 minutes\"], [\"who did I talk to on 2014/07/27?\", \"Kinsley, Eva, Hazel, Claire\"], [\"Did I talk to Kinsley, Eva, Hazel, Claire on 2014/07/27?\", \"yes\"], [\"Did I talk to anyone on 2014/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6993\", \"logical_representation\": [\"2014/07/27\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/07/27?\", \"42 minutes\"], [\"what did I read on 2014/07/27?\", \"news\"], [\"Did I read on 2014/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6994\", \"logical_representation\": [\"2014/07/27\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I watched a tv series for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/27?\", \"55 minutes\"], [\"what did I watch on tv on 2014/07/27?\", \"a tv series\"], [\"Did I watch tv on 2014/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/28\": {\"exercise\": {\"eid\": \"e6995\", \"logical_representation\": [\"2014/07/28\", \"biking\"], \"text_template_based\": \"I did biking on 2014/07/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6996\", \"logical_representation\": [\"2014/07/28\", \"Rylee, Claire, Nevaeh, Layla\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Rylee, Claire, Nevaeh, Layla for 17 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Nevaeh, Layla in the early evening on 2014/07/28?\", \"17 minutes\"], [\"who did I talk to on 2014/07/28?\", \"Rylee, Claire, Nevaeh, Layla\"], [\"Did I talk to Rylee, Claire, Nevaeh, Layla on 2014/07/28?\", \"yes\"], [\"Did I talk to anyone on 2014/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6997\", \"logical_representation\": [\"2014/07/28\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/28?\", \"29 minutes\"], [\"what did I watch on tv on 2014/07/28?\", \"news\"], [\"Did I watch tv on 2014/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/29\": {\"exercise\": {\"eid\": \"e6998\", \"logical_representation\": [\"2014/07/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/07/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6999\", \"logical_representation\": [\"2014/07/29\", \"lunch\", \"fish and chips\", \"Layla, Avery\"], \"text_template_based\": \"I had lunch with Layla, Avery. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/07/29?\", \"Layla, Avery\"], [\"what did I eat for lunch on 2014/07/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7000\", \"logical_representation\": [\"2014/07/29\", \"Kinsley, Nevaeh, Hazel\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Kinsley, Nevaeh, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Hazel in the morning on 2014/07/29?\", \"55 minutes\"], [\"who did I talk to on 2014/07/29?\", \"Kinsley, Nevaeh, Hazel\"], [\"Did I talk to Kinsley, Nevaeh, Hazel on 2014/07/29?\", \"yes\"], [\"Did I talk to anyone on 2014/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/30\": {\"exercise\": {\"eid\": \"e7001\", \"logical_representation\": [\"2014/07/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/07/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7002\", \"logical_representation\": [\"2014/07/30\", \"breakfast\", \"pancakes\", \"Carter, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/07/30?\", \"Carter, Emily\"], [\"what did I eat for breakfast on 2014/07/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7003\", \"logical_representation\": [\"2014/07/30\", \"Piper, Hazel, Rylee\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Rylee for 53 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Rylee during lunch hours on 2014/07/30?\", \"53 minutes\"], [\"who did I talk to on 2014/07/30?\", \"Piper, Hazel, Rylee\"], [\"Did I talk to Piper, Hazel, Rylee on 2014/07/30?\", \"yes\"], [\"Did I talk to anyone on 2014/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7004\", \"logical_representation\": [\"2014/07/30\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/07/30?\", \"7 minutes\"], [\"what did I read on 2014/07/30?\", \"news\"], [\"Did I read on 2014/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/01\": {\"exercise\": {\"eid\": \"e7007\", \"logical_representation\": [\"2014/08/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7008\", \"logical_representation\": [\"2014/08/01\", \"dinner\", \"fish and chips\", \"Avery, Willow\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/08/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7009\", \"logical_representation\": [\"2014/08/01\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/01?\", \"37 minutes\"], [\"what did I watch on tv on 2014/08/01?\", \"news\"], [\"Did I watch tv on 2014/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/02\": {\"chat0\": {\"eid\": \"e7010\", \"logical_representation\": [\"2014/08/02\", \"Olivia, Kinsley\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Olivia, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley in the early evening on 2014/08/02?\", \"9 minutes\"], [\"who did I talk to on 2014/08/02?\", \"Olivia, Kinsley\"], [\"Did I talk to Olivia, Kinsley on 2014/08/02?\", \"yes\"], [\"Did I talk to anyone on 2014/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7011\", \"logical_representation\": [\"2014/08/02\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/02?\", \"33 minutes\"], [\"what did I watch on tv on 2014/08/02?\", \"a documentary\"], [\"Did I watch tv on 2014/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/03\": {\"exercise\": {\"eid\": \"e7012\", \"logical_representation\": [\"2014/08/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/08/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7013\", \"logical_representation\": [\"2014/08/03\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/03?\", \"22 minutes\"], [\"what did I watch on tv on 2014/08/03?\", \"news\"], [\"Did I watch tv on 2014/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/04\": {\"dinner\": {\"eid\": \"e7014\", \"logical_representation\": [\"2014/08/04\", \"dinner\", \"a burger\", \"Piper, Avery, Layla, Lydia, Kinsley, Hazel, Rylee, Eva, Piper, Nora, Olivia\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/08/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7015\", \"logical_representation\": [\"2014/08/04\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/08/04?\", \"23 minutes\"], [\"what did I read on 2014/08/04?\", \"social media\"], [\"Did I read on 2014/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/05\": {\"dinner\": {\"eid\": \"e7016\", \"logical_representation\": [\"2014/08/05\", \"dinner\", \"indian food\", \"Layla, Lydia, Eva, Nevaeh\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/08/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7017\", \"logical_representation\": [\"2014/08/05\", \"Nora\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Nora for 17 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2014/08/05?\", \"17 minutes\"], [\"who did I talk to on 2014/08/05?\", \"Nora\"], [\"Did I talk to Nora on 2014/08/05?\", \"yes\"], [\"Did I talk to anyone on 2014/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/07\": {\"exercise\": {\"eid\": \"e7019\", \"logical_representation\": [\"2014/08/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/08/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7020\", \"logical_representation\": [\"2014/08/07\", \"Olivia, Kinsley, Hazel\", \"in the late afternoon\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Olivia, Kinsley, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Hazel in the late afternoon on 2014/08/07?\", \"31 minutes\"], [\"who did I talk to on 2014/08/07?\", \"Olivia, Kinsley, Hazel\"], [\"Did I talk to Olivia, Kinsley, Hazel on 2014/08/07?\", \"yes\"], [\"Did I talk to anyone on 2014/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7021\", \"logical_representation\": [\"2014/08/07\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/07?\", \"33 minutes\"], [\"what did I read on 2014/08/07?\", \"news\"], [\"Did I read on 2014/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/08\": {\"lunch\": {\"eid\": \"e7022\", \"logical_representation\": [\"2014/08/08\", \"lunch\", \"a burger\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7023\", \"logical_representation\": [\"2014/08/08\", \"dinner\", \"indian food\", \"Piper, Eva, Avery, Piper, Lydia, Layla, Claire, Rylee\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/08/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7024\", \"logical_representation\": [\"2014/08/08\", \"Hazel, Layla, Nora\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Hazel, Layla, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla, Nora in the morning on 2014/08/08?\", \"35 minutes\"], [\"who did I talk to on 2014/08/08?\", \"Hazel, Layla, Nora\"], [\"Did I talk to Hazel, Layla, Nora on 2014/08/08?\", \"yes\"], [\"Did I talk to anyone on 2014/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7025\", \"logical_representation\": [\"2014/08/08\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/08?\", \"23 minutes\"], [\"what did I read on 2014/08/08?\", \"news\"], [\"Did I read on 2014/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7026\", \"logical_representation\": [\"2014/08/08\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/08?\", \"50 minutes\"], [\"what did I watch on tv on 2014/08/08?\", \"news\"], [\"Did I watch tv on 2014/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/10\": {\"exercise\": {\"eid\": \"e7032\", \"logical_representation\": [\"2014/08/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/08/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7033\", \"logical_representation\": [\"2014/08/10\", \"breakfast\", \"toast and cheese\", \"Kinsley, Claire, Avery, Nevaeh, Rylee, Nora, Lydia, Piper, Olivia, Piper, Eva, Hazel\"], \"text_template_based\": \"I had breakfast with Kinsley, Claire, Avery, Nevaeh, Rylee, Nora, Lydia, Piper, Olivia, Piper, Eva, Hazel. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/08/10?\", \"Kinsley, Claire, Avery, Nevaeh, Rylee, Nora, Lydia, Piper, Olivia, Piper, Eva, Hazel\"], [\"what did I eat for breakfast on 2014/08/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7034\", \"logical_representation\": [\"2014/08/10\", \"Nevaeh, Eva\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva for 13 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva in the late afternoon on 2014/08/10?\", \"13 minutes\"], [\"who did I talk to on 2014/08/10?\", \"Nevaeh, Eva\"], [\"Did I talk to Nevaeh, Eva on 2014/08/10?\", \"yes\"], [\"Did I talk to anyone on 2014/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7035\", \"logical_representation\": [\"2014/08/10\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/10?\", \"14 minutes\"], [\"what did I read on 2014/08/10?\", \"news\"], [\"Did I read on 2014/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/11\": {\"exercise\": {\"eid\": \"e7036\", \"logical_representation\": [\"2014/08/11\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/08/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/11?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7037\", \"logical_representation\": [\"2014/08/11\", \"breakfast\", \"pancakes\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7038\", \"logical_representation\": [\"2014/08/11\", \"lunch\", \"steak\", \"Layla, Olivia, Piper, Rylee, Hazel\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7039\", \"logical_representation\": [\"2014/08/11\", \"dinner\", \"sushi\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I had dinner with Benjamin, Avery, Jackson, Willow. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/08/11?\", \"Benjamin, Avery, Jackson, Willow\"], [\"what did I eat for dinner on 2014/08/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7040\", \"logical_representation\": [\"2014/08/11\", \"Hazel, Lydia, Nora, Claire\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Hazel, Lydia, Nora, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Nora, Claire late in the evening on 2014/08/11?\", \"13 minutes\"], [\"who did I talk to on 2014/08/11?\", \"Hazel, Lydia, Nora, Claire\"], [\"Did I talk to Hazel, Lydia, Nora, Claire on 2014/08/11?\", \"yes\"], [\"Did I talk to anyone on 2014/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7041\", \"logical_representation\": [\"2014/08/11\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/08/11?\", \"36 minutes\"], [\"what did I read on 2014/08/11?\", \"a book\"], [\"Did I read on 2014/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7042\", \"logical_representation\": [\"2014/08/11\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/11?\", \"37 minutes\"], [\"what did I watch on tv on 2014/08/11?\", \"a documentary\"], [\"Did I watch tv on 2014/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/12\": {\"lunch\": {\"eid\": \"e7043\", \"logical_representation\": [\"2014/08/12\", \"lunch\", \"steak\", \"Willow\"], \"text_template_based\": \"I had lunch with Willow. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/08/12?\", \"Willow\"], [\"what did I eat for lunch on 2014/08/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7044\", \"logical_representation\": [\"2014/08/12\", \"Kinsley, Lydia\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Kinsley, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia in the early afternoon on 2014/08/12?\", \"40 minutes\"], [\"who did I talk to on 2014/08/12?\", \"Kinsley, Lydia\"], [\"Did I talk to Kinsley, Lydia on 2014/08/12?\", \"yes\"], [\"Did I talk to anyone on 2014/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7045\", \"logical_representation\": [\"2014/08/12\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/08/12?\", \"5 minutes\"], [\"what did I read on 2014/08/12?\", \"social media\"], [\"Did I read on 2014/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/13\": {\"breakfast\": {\"eid\": \"e7046\", \"logical_representation\": [\"2014/08/13\", \"breakfast\", \"toast and cheese\", \"Piper, Piper\"], \"text_template_based\": \"I had toast and cheese for breakfast with Piper, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/08/13?\", \"Piper, Piper\"], [\"what did I eat for breakfast on 2014/08/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7047\", \"logical_representation\": [\"2014/08/13\", \"dinner\", \"pasta\", \"Claire, Eva, Rylee, Lydia, Hazel, Piper, Kinsley, Avery, Layla, Olivia, Piper\"], \"text_template_based\": \"I had pasta for dinner with Claire, Eva, Rylee, Lydia, Hazel, Piper, Kinsley, Avery, Layla, Olivia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/08/13?\", \"Claire, Eva, Rylee, Lydia, Hazel, Piper, Kinsley, Avery, Layla, Olivia, Piper\"], [\"what did I eat for dinner on 2014/08/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7048\", \"logical_representation\": [\"2014/08/13\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I watched a tv series for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/13?\", \"35 minutes\"], [\"what did I watch on tv on 2014/08/13?\", \"a tv series\"], [\"Did I watch tv on 2014/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/14\": {\"exercise\": {\"eid\": \"e7049\", \"logical_representation\": [\"2014/08/14\", \"running\"], \"text_template_based\": \"I did running on 2014/08/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7050\", \"logical_representation\": [\"2014/08/14\", \"breakfast\", \"oatmeal\", \"Benjamin\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7051\", \"logical_representation\": [\"2014/08/14\", \"lunch\", \"fish and chips\", \"Nevaeh, Layla, Avery, Eva, Kinsley, Claire, Rylee, Olivia, Lydia, Hazel, Nora, Piper\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7052\", \"logical_representation\": [\"2014/08/14\", \"Hazel, Piper, Kinsley\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Hazel, Piper, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Kinsley in the early afternoon on 2014/08/14?\", \"27 minutes\"], [\"who did I talk to on 2014/08/14?\", \"Hazel, Piper, Kinsley\"], [\"Did I talk to Hazel, Piper, Kinsley on 2014/08/14?\", \"yes\"], [\"Did I talk to anyone on 2014/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7053\", \"logical_representation\": [\"2014/08/14\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/14?\", \"27 minutes\"], [\"what did I watch on tv on 2014/08/14?\", \"a tv series\"], [\"Did I watch tv on 2014/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/15\": {\"dinner\": {\"eid\": \"e7054\", \"logical_representation\": [\"2014/08/15\", \"dinner\", \"steak\", \"Avery\"], \"text_template_based\": \"I had steak for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/08/15?\", \"Avery\"], [\"what did I eat for dinner on 2014/08/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7055\", \"logical_representation\": [\"2014/08/15\", \"Layla\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2014/08/15?\", \"39 minutes\"], [\"who did I talk to on 2014/08/15?\", \"Layla\"], [\"Did I talk to Layla on 2014/08/15?\", \"yes\"], [\"Did I talk to anyone on 2014/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7056\", \"logical_representation\": [\"2014/08/15\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/15?\", \"10 minutes\"], [\"what did I read on 2014/08/15?\", \"news\"], [\"Did I read on 2014/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7057\", \"logical_representation\": [\"2014/08/15\", \"a documentary\", \"12 minutes\"], \"text_template_based\": \"I watched a documentary for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/15?\", \"12 minutes\"], [\"what did I watch on tv on 2014/08/15?\", \"a documentary\"], [\"Did I watch tv on 2014/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/16\": {\"breakfast\": {\"eid\": \"e7058\", \"logical_representation\": [\"2014/08/16\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/08/16?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for breakfast on 2014/08/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7059\", \"logical_representation\": [\"2014/08/16\", \"lunch\", \"chinese food\", \"Avery\"], \"text_template_based\": \"I had lunch with Avery. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/08/16?\", \"Avery\"], [\"what did I eat for lunch on 2014/08/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7060\", \"logical_representation\": [\"2014/08/16\", \"dinner\", \"steak\", \"Claire, Rylee, Nevaeh, Piper\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/08/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7061\", \"logical_representation\": [\"2014/08/16\", \"Avery, Nora, Piper, Rylee\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Avery, Nora, Piper, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora, Piper, Rylee in the morning on 2014/08/16?\", \"19 minutes\"], [\"who did I talk to on 2014/08/16?\", \"Avery, Nora, Piper, Rylee\"], [\"Did I talk to Avery, Nora, Piper, Rylee on 2014/08/16?\", \"yes\"], [\"Did I talk to anyone on 2014/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7062\", \"logical_representation\": [\"2014/08/16\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/16?\", \"26 minutes\"], [\"what did I read on 2014/08/16?\", \"news\"], [\"Did I read on 2014/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/18\": {\"breakfast\": {\"eid\": \"e7066\", \"logical_representation\": [\"2014/08/18\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7067\", \"logical_representation\": [\"2014/08/18\", \"dinner\", \"sushi\", \"Nevaeh\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/08/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7068\", \"logical_representation\": [\"2014/08/18\", \"Nora\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Nora for 38 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2014/08/18?\", \"38 minutes\"], [\"who did I talk to on 2014/08/18?\", \"Nora\"], [\"Did I talk to Nora on 2014/08/18?\", \"yes\"], [\"Did I talk to anyone on 2014/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7069\", \"logical_representation\": [\"2014/08/18\", \"Eva, Kinsley, Hazel\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley, Hazel for 29 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Hazel during lunch hours on 2014/08/18?\", \"29 minutes\"], [\"who did I talk to on 2014/08/18?\", \"Eva, Kinsley, Hazel\"], [\"Did I talk to Eva, Kinsley, Hazel on 2014/08/18?\", \"yes\"], [\"Did I talk to anyone on 2014/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7070\", \"logical_representation\": [\"2014/08/18\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/18?\", \"33 minutes\"], [\"what did I read on 2014/08/18?\", \"news\"], [\"Did I read on 2014/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7071\", \"logical_representation\": [\"2014/08/18\", \"a documentary\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/18?\", \"11 minutes\"], [\"what did I watch on tv on 2014/08/18?\", \"a documentary\"], [\"Did I watch tv on 2014/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/19\": {\"breakfast\": {\"eid\": \"e7072\", \"logical_representation\": [\"2014/08/19\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7073\", \"logical_representation\": [\"2014/08/19\", \"Piper, Nora, Hazel, Kinsley\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Piper, Nora, Hazel, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Hazel, Kinsley in the early afternoon on 2014/08/19?\", \"49 minutes\"], [\"who did I talk to on 2014/08/19?\", \"Piper, Nora, Hazel, Kinsley\"], [\"Did I talk to Piper, Nora, Hazel, Kinsley on 2014/08/19?\", \"yes\"], [\"Did I talk to anyone on 2014/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7074\", \"logical_representation\": [\"2014/08/19\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/08/19?\", \"28 minutes\"], [\"what did I read on 2014/08/19?\", \"a book\"], [\"Did I read on 2014/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/21\": {\"exercise\": {\"eid\": \"e7078\", \"logical_representation\": [\"2014/08/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/08/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7079\", \"logical_representation\": [\"2014/08/21\", \"Kinsley, Nora, Lydia\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Kinsley, Nora, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Lydia late in the evening on 2014/08/21?\", \"11 minutes\"], [\"who did I talk to on 2014/08/21?\", \"Kinsley, Nora, Lydia\"], [\"Did I talk to Kinsley, Nora, Lydia on 2014/08/21?\", \"yes\"], [\"Did I talk to anyone on 2014/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7080\", \"logical_representation\": [\"2014/08/21\", \"Hazel, Piper, Nevaeh, Avery\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Nevaeh, Avery for 51 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Nevaeh, Avery in the late afternoon on 2014/08/21?\", \"51 minutes\"], [\"who did I talk to on 2014/08/21?\", \"Hazel, Piper, Nevaeh, Avery\"], [\"Did I talk to Hazel, Piper, Nevaeh, Avery on 2014/08/21?\", \"yes\"], [\"Did I talk to anyone on 2014/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7081\", \"logical_representation\": [\"2014/08/21\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I watched a tv series for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/21?\", \"13 minutes\"], [\"what did I watch on tv on 2014/08/21?\", \"a tv series\"], [\"Did I watch tv on 2014/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/22\": {\"exercise\": {\"eid\": \"e7082\", \"logical_representation\": [\"2014/08/22\", \"running\"], \"text_template_based\": \"I did running on 2014/08/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7083\", \"logical_representation\": [\"2014/08/22\", \"breakfast\", \"cereals\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7084\", \"logical_representation\": [\"2014/08/22\", \"Nevaeh, Olivia, Piper\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Piper for 13 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Piper during lunch hours on 2014/08/22?\", \"13 minutes\"], [\"who did I talk to on 2014/08/22?\", \"Nevaeh, Olivia, Piper\"], [\"Did I talk to Nevaeh, Olivia, Piper on 2014/08/22?\", \"yes\"], [\"Did I talk to anyone on 2014/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7085\", \"logical_representation\": [\"2014/08/22\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/08/22?\", \"55 minutes\"], [\"what did I read on 2014/08/22?\", \"social media\"], [\"Did I read on 2014/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7086\", \"logical_representation\": [\"2014/08/22\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I watched a documentary for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/22?\", \"25 minutes\"], [\"what did I watch on tv on 2014/08/22?\", \"a documentary\"], [\"Did I watch tv on 2014/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/25\": {\"exercise\": {\"eid\": \"e7094\", \"logical_representation\": [\"2014/08/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/08/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7095\", \"logical_representation\": [\"2014/08/25\", \"breakfast\", \"cereals\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/25\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7096\", \"logical_representation\": [\"2014/08/25\", \"Piper, Claire\", \"late in the evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Piper, Claire for 16 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire late in the evening on 2014/08/25?\", \"16 minutes\"], [\"who did I talk to on 2014/08/25?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2014/08/25?\", \"yes\"], [\"Did I talk to anyone on 2014/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7097\", \"logical_representation\": [\"2014/08/25\", \"Nevaeh, Piper, Hazel\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Nevaeh, Piper, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Hazel in the early afternoon on 2014/08/25?\", \"13 minutes\"], [\"who did I talk to on 2014/08/25?\", \"Nevaeh, Piper, Hazel\"], [\"Did I talk to Nevaeh, Piper, Hazel on 2014/08/25?\", \"yes\"], [\"Did I talk to anyone on 2014/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7098\", \"logical_representation\": [\"2014/08/25\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/25?\", \"52 minutes\"], [\"what did I read on 2014/08/25?\", \"news\"], [\"Did I read on 2014/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7099\", \"logical_representation\": [\"2014/08/25\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I watched a documentary for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/25?\", \"32 minutes\"], [\"what did I watch on tv on 2014/08/25?\", \"a documentary\"], [\"Did I watch tv on 2014/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/26\": {\"exercise\": {\"eid\": \"e7100\", \"logical_representation\": [\"2014/08/26\", \"biking\"], \"text_template_based\": \"I did biking on 2014/08/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7101\", \"logical_representation\": [\"2014/08/26\", \"lunch\", \"sandwich\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I had lunch with Jackson, Willow, Benjamin, Avery. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/08/26?\", \"Jackson, Willow, Benjamin, Avery\"], [\"what did I eat for lunch on 2014/08/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7102\", \"logical_representation\": [\"2014/08/26\", \"Rylee\", \"in the morning\", \"18 minutes\"], \"text_template_based\": \"I talked to Rylee for 18 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2014/08/26?\", \"18 minutes\"], [\"who did I talk to on 2014/08/26?\", \"Rylee\"], [\"Did I talk to Rylee on 2014/08/26?\", \"yes\"], [\"Did I talk to anyone on 2014/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7103\", \"logical_representation\": [\"2014/08/26\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/08/26?\", \"27 minutes\"], [\"what did I read on 2014/08/26?\", \"social media\"], [\"Did I read on 2014/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7104\", \"logical_representation\": [\"2014/08/26\", \"a tv series\", \"46 minutes\"], \"text_template_based\": \"I watched a tv series for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/26?\", \"46 minutes\"], [\"what did I watch on tv on 2014/08/26?\", \"a tv series\"], [\"Did I watch tv on 2014/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/27\": {\"exercise\": {\"eid\": \"e7105\", \"logical_representation\": [\"2014/08/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/08/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7106\", \"logical_representation\": [\"2014/08/27\", \"dinner\", \"indian food\", \"Andrew, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/08/27?\", \"Andrew, Carter\"], [\"what did I eat for dinner on 2014/08/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7107\", \"logical_representation\": [\"2014/08/27\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/27?\", \"16 minutes\"], [\"what did I read on 2014/08/27?\", \"news\"], [\"Did I read on 2014/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7108\", \"logical_representation\": [\"2014/08/27\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/27?\", \"22 minutes\"], [\"what did I watch on tv on 2014/08/27?\", \"a documentary\"], [\"Did I watch tv on 2014/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/28\": {\"exercise\": {\"eid\": \"e7109\", \"logical_representation\": [\"2014/08/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/08/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7110\", \"logical_representation\": [\"2014/08/28\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/28?\", \"42 minutes\"], [\"what did I read on 2014/08/28?\", \"news\"], [\"Did I read on 2014/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7111\", \"logical_representation\": [\"2014/08/28\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/28?\", \"43 minutes\"], [\"what did I watch on tv on 2014/08/28?\", \"a tv series\"], [\"Did I watch tv on 2014/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/29\": {\"exercise\": {\"eid\": \"e7112\", \"logical_representation\": [\"2014/08/29\", \"running\"], \"text_template_based\": \"I did running on 2014/08/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/29?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7113\", \"logical_representation\": [\"2014/08/29\", \"breakfast\", \"cereals\", \"Rylee, Piper, Kinsley, Hazel, Lydia, Layla, Eva, Nevaeh, Olivia\"], \"text_template_based\": \"I had cereals for breakfast with Rylee, Piper, Kinsley, Hazel, Lydia, Layla, Eva, Nevaeh, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/08/29?\", \"Rylee, Piper, Kinsley, Hazel, Lydia, Layla, Eva, Nevaeh, Olivia\"], [\"what did I eat for breakfast on 2014/08/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7114\", \"logical_representation\": [\"2014/08/29\", \"lunch\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7115\", \"logical_representation\": [\"2014/08/29\", \"Claire\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2014/08/29?\", \"29 minutes\"], [\"who did I talk to on 2014/08/29?\", \"Claire\"], [\"Did I talk to Claire on 2014/08/29?\", \"yes\"], [\"Did I talk to anyone on 2014/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7116\", \"logical_representation\": [\"2014/08/29\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/29?\", \"55 minutes\"], [\"what did I watch on tv on 2014/08/29?\", \"a tv series\"], [\"Did I watch tv on 2014/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/31\": {\"lunch\": {\"eid\": \"e7122\", \"logical_representation\": [\"2014/08/31\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7123\", \"logical_representation\": [\"2014/08/31\", \"Claire, Eva\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I talked to Claire, Eva for 44 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva during lunch hours on 2014/08/31?\", \"44 minutes\"], [\"who did I talk to on 2014/08/31?\", \"Claire, Eva\"], [\"Did I talk to Claire, Eva on 2014/08/31?\", \"yes\"], [\"Did I talk to anyone on 2014/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7124\", \"logical_representation\": [\"2014/08/31\", \"Piper, Avery\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I talked to Piper, Avery for 6 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery during lunch hours on 2014/08/31?\", \"6 minutes\"], [\"who did I talk to on 2014/08/31?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2014/08/31?\", \"yes\"], [\"Did I talk to anyone on 2014/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7125\", \"logical_representation\": [\"2014/08/31\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/08/31?\", \"30 minutes\"], [\"what did I read on 2014/08/31?\", \"a book\"], [\"Did I read on 2014/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/01\": {\"exercise\": {\"eid\": \"e7126\", \"logical_representation\": [\"2014/09/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/09/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7127\", \"logical_representation\": [\"2014/09/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/09/01?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2014/09/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7128\", \"logical_representation\": [\"2014/09/01\", \"dinner\", \"sushi\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/09/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7129\", \"logical_representation\": [\"2014/09/01\", \"Lydia, Avery, Piper, Layla\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery, Piper, Layla for 41 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Piper, Layla in the early evening on 2014/09/01?\", \"41 minutes\"], [\"who did I talk to on 2014/09/01?\", \"Lydia, Avery, Piper, Layla\"], [\"Did I talk to Lydia, Avery, Piper, Layla on 2014/09/01?\", \"yes\"], [\"Did I talk to anyone on 2014/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7130\", \"logical_representation\": [\"2014/09/01\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/09/01?\", \"9 minutes\"], [\"what did I read on 2014/09/01?\", \"social media\"], [\"Did I read on 2014/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/02\": {\"exercise\": {\"eid\": \"e7131\", \"logical_representation\": [\"2014/09/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/09/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7132\", \"logical_representation\": [\"2014/09/02\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/09/02?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2014/09/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7133\", \"logical_representation\": [\"2014/09/02\", \"lunch\", \"chinese food\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/09/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7134\", \"logical_representation\": [\"2014/09/02\", \"dinner\", \"sushi\", \"Claire, Eva, Olivia, Piper\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/09/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7135\", \"logical_representation\": [\"2014/09/02\", \"Piper\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Piper for 24 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2014/09/02?\", \"24 minutes\"], [\"who did I talk to on 2014/09/02?\", \"Piper\"], [\"Did I talk to Piper on 2014/09/02?\", \"yes\"], [\"Did I talk to anyone on 2014/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/03\": {\"exercise\": {\"eid\": \"e7136\", \"logical_representation\": [\"2014/09/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/09/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7137\", \"logical_representation\": [\"2014/09/03\", \"lunch\", \"steak\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Andrew. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/09/03?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2014/09/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7138\", \"logical_representation\": [\"2014/09/03\", \"dinner\", \"pasta\", \"Nora, Lydia\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/09/03\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7139\", \"logical_representation\": [\"2014/09/03\", \"Piper, Rylee, Avery, Hazel\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Piper, Rylee, Avery, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Avery, Hazel in the late afternoon on 2014/09/03?\", \"6 minutes\"], [\"who did I talk to on 2014/09/03?\", \"Piper, Rylee, Avery, Hazel\"], [\"Did I talk to Piper, Rylee, Avery, Hazel on 2014/09/03?\", \"yes\"], [\"Did I talk to anyone on 2014/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7140\", \"logical_representation\": [\"2014/09/03\", \"Layla\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Layla for 49 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2014/09/03?\", \"49 minutes\"], [\"who did I talk to on 2014/09/03?\", \"Layla\"], [\"Did I talk to Layla on 2014/09/03?\", \"yes\"], [\"Did I talk to anyone on 2014/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/04\": {\"breakfast\": {\"eid\": \"e7141\", \"logical_representation\": [\"2014/09/04\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Kayden, Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/09/04?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2014/09/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7142\", \"logical_representation\": [\"2014/09/04\", \"lunch\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/09/04?\", \"Kayden\"], [\"what did I eat for lunch on 2014/09/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7143\", \"logical_representation\": [\"2014/09/04\", \"dinner\", \"sandwich\", \"Willow\"], \"text_template_based\": \"I had dinner with Willow. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/09/04?\", \"Willow\"], [\"what did I eat for dinner on 2014/09/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7144\", \"logical_representation\": [\"2014/09/04\", \"Hazel\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2014/09/04?\", \"21 minutes\"], [\"who did I talk to on 2014/09/04?\", \"Hazel\"], [\"Did I talk to Hazel on 2014/09/04?\", \"yes\"], [\"Did I talk to anyone on 2014/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7145\", \"logical_representation\": [\"2014/09/04\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/09/04?\", \"14 minutes\"], [\"what did I read on 2014/09/04?\", \"news\"], [\"Did I read on 2014/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7146\", \"logical_representation\": [\"2014/09/04\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I watched a tv series for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/04?\", \"20 minutes\"], [\"what did I watch on tv on 2014/09/04?\", \"a tv series\"], [\"Did I watch tv on 2014/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/05\": {\"read\": {\"eid\": \"e7147\", \"logical_representation\": [\"2014/09/05\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/09/05?\", \"50 minutes\"], [\"what did I read on 2014/09/05?\", \"a book\"], [\"Did I read on 2014/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/06\": {\"lunch\": {\"eid\": \"e7148\", \"logical_representation\": [\"2014/09/06\", \"lunch\", \"a burger\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/09/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7149\", \"logical_representation\": [\"2014/09/06\", \"Avery\", \"in the morning\", \"53 minutes\"], \"text_template_based\": \"I talked to Avery for 53 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2014/09/06?\", \"53 minutes\"], [\"who did I talk to on 2014/09/06?\", \"Avery\"], [\"Did I talk to Avery on 2014/09/06?\", \"yes\"], [\"Did I talk to anyone on 2014/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7150\", \"logical_representation\": [\"2014/09/06\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/09/06?\", \"47 minutes\"], [\"what did I read on 2014/09/06?\", \"social media\"], [\"Did I read on 2014/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/09\": {\"exercise\": {\"eid\": \"e7154\", \"logical_representation\": [\"2014/09/09\", \"biking\"], \"text_template_based\": \"I did biking on 2014/09/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7155\", \"logical_representation\": [\"2014/09/09\", \"breakfast\", \"peanut-butter-jam\", \"Claire, Olivia, Avery, Eva\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/09/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7156\", \"logical_representation\": [\"2014/09/09\", \"Hazel\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I talked to Hazel for 12 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2014/09/09?\", \"12 minutes\"], [\"who did I talk to on 2014/09/09?\", \"Hazel\"], [\"Did I talk to Hazel on 2014/09/09?\", \"yes\"], [\"Did I talk to anyone on 2014/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7157\", \"logical_representation\": [\"2014/09/09\", \"Hazel\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Hazel for 41 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2014/09/09?\", \"41 minutes\"], [\"who did I talk to on 2014/09/09?\", \"Hazel\"], [\"Did I talk to Hazel on 2014/09/09?\", \"yes\"], [\"Did I talk to anyone on 2014/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7158\", \"logical_representation\": [\"2014/09/09\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/09?\", \"20 minutes\"], [\"what did I watch on tv on 2014/09/09?\", \"a documentary\"], [\"Did I watch tv on 2014/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/10\": {\"breakfast\": {\"eid\": \"e7159\", \"logical_representation\": [\"2014/09/10\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/09/10\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7160\", \"logical_representation\": [\"2014/09/10\", \"lunch\", \"chinese food\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Kayden, Emily, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/09/10?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2014/09/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7161\", \"logical_representation\": [\"2014/09/10\", \"Hazel, Piper\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper for 11 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper in the early afternoon on 2014/09/10?\", \"11 minutes\"], [\"who did I talk to on 2014/09/10?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2014/09/10?\", \"yes\"], [\"Did I talk to anyone on 2014/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7162\", \"logical_representation\": [\"2014/09/10\", \"a documentary\", \"5 minutes\"], \"text_template_based\": \"I watched a documentary for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/10?\", \"5 minutes\"], [\"what did I watch on tv on 2014/09/10?\", \"a documentary\"], [\"Did I watch tv on 2014/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/11\": {\"exercise\": {\"eid\": \"e7163\", \"logical_representation\": [\"2014/09/11\", \"running\"], \"text_template_based\": \"I did running on 2014/09/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7164\", \"logical_representation\": [\"2014/09/11\", \"lunch\", \"sushi\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I had sushi for lunch with Jackson, Avery, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/09/11?\", \"Jackson, Avery, Willow, Benjamin\"], [\"what did I eat for lunch on 2014/09/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7165\", \"logical_representation\": [\"2014/09/11\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/09/11?\", \"12 minutes\"], [\"what did I read on 2014/09/11?\", \"a book\"], [\"Did I read on 2014/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7166\", \"logical_representation\": [\"2014/09/11\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/11?\", \"44 minutes\"], [\"what did I watch on tv on 2014/09/11?\", \"news\"], [\"Did I watch tv on 2014/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/12\": {\"breakfast\": {\"eid\": \"e7167\", \"logical_representation\": [\"2014/09/12\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Carter, Kayden, Andrew. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/09/12?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2014/09/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7168\", \"logical_representation\": [\"2014/09/12\", \"lunch\", \"tacos\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/09/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7169\", \"logical_representation\": [\"2014/09/12\", \"Nevaeh, Piper, Claire, Piper\", \"late in the evening\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Nevaeh, Piper, Claire, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Claire, Piper late in the evening on 2014/09/12?\", \"48 minutes\"], [\"who did I talk to on 2014/09/12?\", \"Nevaeh, Piper, Claire, Piper\"], [\"Did I talk to Nevaeh, Piper, Claire, Piper on 2014/09/12?\", \"yes\"], [\"Did I talk to anyone on 2014/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7170\", \"logical_representation\": [\"2014/09/12\", \"a documentary\", \"34 minutes\"], \"text_template_based\": \"I watched a documentary for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/12?\", \"34 minutes\"], [\"what did I watch on tv on 2014/09/12?\", \"a documentary\"], [\"Did I watch tv on 2014/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/13\": {\"chat0\": {\"eid\": \"e7171\", \"logical_representation\": [\"2014/09/13\", \"Olivia\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Olivia for 25 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2014/09/13?\", \"25 minutes\"], [\"who did I talk to on 2014/09/13?\", \"Olivia\"], [\"Did I talk to Olivia on 2014/09/13?\", \"yes\"], [\"Did I talk to anyone on 2014/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7172\", \"logical_representation\": [\"2014/09/13\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/13?\", \"49 minutes\"], [\"what did I watch on tv on 2014/09/13?\", \"a tv series\"], [\"Did I watch tv on 2014/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/14\": {\"lunch\": {\"eid\": \"e7173\", \"logical_representation\": [\"2014/09/14\", \"lunch\", \"steak\", \"Nevaeh, Piper, Olivia, Eva, Hazel, Claire, Lydia, Piper, Kinsley, Nora, Avery\"], \"text_template_based\": \"I had steak for lunch with Nevaeh, Piper, Olivia, Eva, Hazel, Claire, Lydia, Piper, Kinsley, Nora, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/09/14?\", \"Nevaeh, Piper, Olivia, Eva, Hazel, Claire, Lydia, Piper, Kinsley, Nora, Avery\"], [\"what did I eat for lunch on 2014/09/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7174\", \"logical_representation\": [\"2014/09/14\", \"Olivia\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Olivia for 20 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the late afternoon on 2014/09/14?\", \"20 minutes\"], [\"who did I talk to on 2014/09/14?\", \"Olivia\"], [\"Did I talk to Olivia on 2014/09/14?\", \"yes\"], [\"Did I talk to anyone on 2014/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7175\", \"logical_representation\": [\"2014/09/14\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/09/14?\", \"31 minutes\"], [\"what did I read on 2014/09/14?\", \"social media\"], [\"Did I read on 2014/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7176\", \"logical_representation\": [\"2014/09/14\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/14?\", \"48 minutes\"], [\"what did I watch on tv on 2014/09/14?\", \"a tv series\"], [\"Did I watch tv on 2014/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/16\": {\"exercise\": {\"eid\": \"e7183\", \"logical_representation\": [\"2014/09/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7184\", \"logical_representation\": [\"2014/09/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/09/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7185\", \"logical_representation\": [\"2014/09/16\", \"lunch\", \"tacos\", \"Eva, Piper, Nora, Lydia, Layla, Rylee, Piper, Olivia, Kinsley\"], \"text_template_based\": \"I had tacos for lunch with Eva, Piper, Nora, Lydia, Layla, Rylee, Piper, Olivia, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/09/16?\", \"Eva, Piper, Nora, Lydia, Layla, Rylee, Piper, Olivia, Kinsley\"], [\"what did I eat for lunch on 2014/09/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7186\", \"logical_representation\": [\"2014/09/16\", \"dinner\", \"steak\", \"Olivia, Nevaeh, Eva, Kinsley, Lydia, Hazel, Nora, Rylee, Layla, Piper, Claire, Piper, Avery\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/09/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7187\", \"logical_representation\": [\"2014/09/16\", \"Piper, Rylee, Nora, Claire\", \"late in the evening\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Piper, Rylee, Nora, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Nora, Claire late in the evening on 2014/09/16?\", \"48 minutes\"], [\"who did I talk to on 2014/09/16?\", \"Piper, Rylee, Nora, Claire\"], [\"Did I talk to Piper, Rylee, Nora, Claire on 2014/09/16?\", \"yes\"], [\"Did I talk to anyone on 2014/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/17\": {\"exercise\": {\"eid\": \"e7188\", \"logical_representation\": [\"2014/09/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/09/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7189\", \"logical_representation\": [\"2014/09/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/09/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7190\", \"logical_representation\": [\"2014/09/17\", \"lunch\", \"indian food\", \"Hazel, Kinsley, Nevaeh, Lydia, Avery, Rylee, Piper, Nora, Olivia, Claire, Piper, Layla\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/09/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7191\", \"logical_representation\": [\"2014/09/17\", \"Eva, Nora, Olivia, Nevaeh\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Eva, Nora, Olivia, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Olivia, Nevaeh in the late afternoon on 2014/09/17?\", \"13 minutes\"], [\"who did I talk to on 2014/09/17?\", \"Eva, Nora, Olivia, Nevaeh\"], [\"Did I talk to Eva, Nora, Olivia, Nevaeh on 2014/09/17?\", \"yes\"], [\"Did I talk to anyone on 2014/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7192\", \"logical_representation\": [\"2014/09/17\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/09/17?\", \"54 minutes\"], [\"what did I read on 2014/09/17?\", \"social media\"], [\"Did I read on 2014/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7193\", \"logical_representation\": [\"2014/09/17\", \"a documentary\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/17?\", \"19 minutes\"], [\"what did I watch on tv on 2014/09/17?\", \"a documentary\"], [\"Did I watch tv on 2014/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/19\": {\"exercise\": {\"eid\": \"e7196\", \"logical_representation\": [\"2014/09/19\", \"biking\"], \"text_template_based\": \"I did biking on 2014/09/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7197\", \"logical_representation\": [\"2014/09/19\", \"breakfast\", \"cereals\", \"Claire, Eva, Lydia, Nevaeh, Kinsley, Hazel, Olivia, Piper, Piper, Layla\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/09/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7198\", \"logical_representation\": [\"2014/09/19\", \"lunch\", \"fish and chips\", \"Olivia, Nora, Eva, Hazel\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/09/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7199\", \"logical_representation\": [\"2014/09/19\", \"dinner\", \"chinese food\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/09/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7200\", \"logical_representation\": [\"2014/09/19\", \"Lydia, Olivia\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia for 12 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia in the early afternoon on 2014/09/19?\", \"12 minutes\"], [\"who did I talk to on 2014/09/19?\", \"Lydia, Olivia\"], [\"Did I talk to Lydia, Olivia on 2014/09/19?\", \"yes\"], [\"Did I talk to anyone on 2014/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7201\", \"logical_representation\": [\"2014/09/19\", \"Hazel, Nora, Eva, Nevaeh\", \"in the late afternoon\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Hazel, Nora, Eva, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Eva, Nevaeh in the late afternoon on 2014/09/19?\", \"8 minutes\"], [\"who did I talk to on 2014/09/19?\", \"Hazel, Nora, Eva, Nevaeh\"], [\"Did I talk to Hazel, Nora, Eva, Nevaeh on 2014/09/19?\", \"yes\"], [\"Did I talk to anyone on 2014/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/20\": {\"exercise\": {\"eid\": \"e7202\", \"logical_representation\": [\"2014/09/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/09/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7203\", \"logical_representation\": [\"2014/09/20\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/09/20\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7204\", \"logical_representation\": [\"2014/09/20\", \"lunch\", \"indian food\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/09/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7205\", \"logical_representation\": [\"2014/09/20\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I watched a documentary for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/20?\", \"30 minutes\"], [\"what did I watch on tv on 2014/09/20?\", \"a documentary\"], [\"Did I watch tv on 2014/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/23\": {\"exercise\": {\"eid\": \"e7216\", \"logical_representation\": [\"2014/09/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/09/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7217\", \"logical_representation\": [\"2014/09/23\", \"dinner\", \"pasta\", \"Rylee, Layla, Nevaeh, Piper, Eva, Avery\"], \"text_template_based\": \"I had pasta for dinner with Rylee, Layla, Nevaeh, Piper, Eva, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/09/23?\", \"Rylee, Layla, Nevaeh, Piper, Eva, Avery\"], [\"what did I eat for dinner on 2014/09/23\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2014/09/24\": {\"breakfast\": {\"eid\": \"e7218\", \"logical_representation\": [\"2014/09/24\", \"breakfast\", \"oatmeal\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had oatmeal for breakfast with Andrew, Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/09/24?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for breakfast on 2014/09/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7219\", \"logical_representation\": [\"2014/09/24\", \"lunch\", \"tacos\", \"Rylee\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/09/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7220\", \"logical_representation\": [\"2014/09/24\", \"Nevaeh, Piper, Avery, Rylee\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Nevaeh, Piper, Avery, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Avery, Rylee in the late afternoon on 2014/09/24?\", \"10 minutes\"], [\"who did I talk to on 2014/09/24?\", \"Nevaeh, Piper, Avery, Rylee\"], [\"Did I talk to Nevaeh, Piper, Avery, Rylee on 2014/09/24?\", \"yes\"], [\"Did I talk to anyone on 2014/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7221\", \"logical_representation\": [\"2014/09/24\", \"Hazel, Avery, Nora\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Hazel, Avery, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Nora in the morning on 2014/09/24?\", \"30 minutes\"], [\"who did I talk to on 2014/09/24?\", \"Hazel, Avery, Nora\"], [\"Did I talk to Hazel, Avery, Nora on 2014/09/24?\", \"yes\"], [\"Did I talk to anyone on 2014/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/25\": {\"exercise\": {\"eid\": \"e7222\", \"logical_representation\": [\"2014/09/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/09/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7223\", \"logical_representation\": [\"2014/09/25\", \"breakfast\", \"cereals\", \"Andrew, Emily\"], \"text_template_based\": \"I had cereals for breakfast with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/09/25?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2014/09/25\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7224\", \"logical_representation\": [\"2014/09/25\", \"lunch\", \"fish and chips\", \"Olivia, Nevaeh, Piper, Rylee, Kinsley, Piper, Eva\"], \"text_template_based\": \"I had fish and chips for lunch with Olivia, Nevaeh, Piper, Rylee, Kinsley, Piper, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/09/25?\", \"Olivia, Nevaeh, Piper, Rylee, Kinsley, Piper, Eva\"], [\"what did I eat for lunch on 2014/09/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7225\", \"logical_representation\": [\"2014/09/25\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/09/25?\", \"36 minutes\"], [\"what did I read on 2014/09/25?\", \"a book\"], [\"Did I read on 2014/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7226\", \"logical_representation\": [\"2014/09/25\", \"a tv series\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/25?\", \"38 minutes\"], [\"what did I watch on tv on 2014/09/25?\", \"a tv series\"], [\"Did I watch tv on 2014/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/26\": {\"exercise\": {\"eid\": \"e7227\", \"logical_representation\": [\"2014/09/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/09/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7228\", \"logical_representation\": [\"2014/09/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/09/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7229\", \"logical_representation\": [\"2014/09/26\", \"Piper, Olivia, Lydia, Claire\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia, Lydia, Claire for 38 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Lydia, Claire in the late afternoon on 2014/09/26?\", \"38 minutes\"], [\"who did I talk to on 2014/09/26?\", \"Piper, Olivia, Lydia, Claire\"], [\"Did I talk to Piper, Olivia, Lydia, Claire on 2014/09/26?\", \"yes\"], [\"Did I talk to anyone on 2014/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7230\", \"logical_representation\": [\"2014/09/26\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I watched a documentary for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/26?\", \"22 minutes\"], [\"what did I watch on tv on 2014/09/26?\", \"a documentary\"], [\"Did I watch tv on 2014/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/27\": {\"breakfast\": {\"eid\": \"e7231\", \"logical_representation\": [\"2014/09/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Emily, Kayden. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/09/27?\", \"Emily, Kayden\"], [\"what did I eat for breakfast on 2014/09/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7232\", \"logical_representation\": [\"2014/09/27\", \"Layla, Nevaeh\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I talked to Layla, Nevaeh for 21 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh during lunch hours on 2014/09/27?\", \"21 minutes\"], [\"who did I talk to on 2014/09/27?\", \"Layla, Nevaeh\"], [\"Did I talk to Layla, Nevaeh on 2014/09/27?\", \"yes\"], [\"Did I talk to anyone on 2014/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/28\": {\"dinner\": {\"eid\": \"e7233\", \"logical_representation\": [\"2014/09/28\", \"dinner\", \"tacos\", \"Piper, Hazel, Claire, Avery, Nora, Lydia, Eva\"], \"text_template_based\": \"I had tacos for dinner with Piper, Hazel, Claire, Avery, Nora, Lydia, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/09/28?\", \"Piper, Hazel, Claire, Avery, Nora, Lydia, Eva\"], [\"what did I eat for dinner on 2014/09/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7234\", \"logical_representation\": [\"2014/09/28\", \"Layla, Rylee, Avery\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I talked to Layla, Rylee, Avery for 49 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Avery in the morning on 2014/09/28?\", \"49 minutes\"], [\"who did I talk to on 2014/09/28?\", \"Layla, Rylee, Avery\"], [\"Did I talk to Layla, Rylee, Avery on 2014/09/28?\", \"yes\"], [\"Did I talk to anyone on 2014/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7235\", \"logical_representation\": [\"2014/09/28\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/09/28?\", \"23 minutes\"], [\"what did I read on 2014/09/28?\", \"a book\"], [\"Did I read on 2014/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/29\": {\"lunch\": {\"eid\": \"e7236\", \"logical_representation\": [\"2014/09/29\", \"lunch\", \"sushi\", \"Benjamin\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/09/29\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7237\", \"logical_representation\": [\"2014/09/29\", \"dinner\", \"sandwich\", \"Piper, Claire, Lydia, Piper, Avery, Nevaeh, Olivia, Nora, Hazel, Kinsley, Layla\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/09/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7238\", \"logical_representation\": [\"2014/09/29\", \"Kinsley, Avery, Piper\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Kinsley, Avery, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Piper during lunch hours on 2014/09/29?\", \"24 minutes\"], [\"who did I talk to on 2014/09/29?\", \"Kinsley, Avery, Piper\"], [\"Did I talk to Kinsley, Avery, Piper on 2014/09/29?\", \"yes\"], [\"Did I talk to anyone on 2014/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7239\", \"logical_representation\": [\"2014/09/29\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/09/29?\", \"9 minutes\"], [\"what did I read on 2014/09/29?\", \"news\"], [\"Did I read on 2014/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7240\", \"logical_representation\": [\"2014/09/29\", \"a tv series\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/29?\", \"15 minutes\"], [\"what did I watch on tv on 2014/09/29?\", \"a tv series\"], [\"Did I watch tv on 2014/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/30\": {\"breakfast\": {\"eid\": \"e7241\", \"logical_representation\": [\"2014/09/30\", \"breakfast\", \"pancakes\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/09/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7242\", \"logical_representation\": [\"2014/09/30\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/09/30?\", \"7 minutes\"], [\"what did I read on 2014/09/30?\", \"social media\"], [\"Did I read on 2014/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7243\", \"logical_representation\": [\"2014/09/30\", \"news\", \"35 minutes\"], \"text_template_based\": \"I watched news for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/30?\", \"35 minutes\"], [\"what did I watch on tv on 2014/09/30?\", \"news\"], [\"Did I watch tv on 2014/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/01\": {\"breakfast\": {\"eid\": \"e7244\", \"logical_representation\": [\"2014/10/01\", \"breakfast\", \"cereals\", \"Nevaeh, Eva, Piper\"], \"text_template_based\": \"I had cereals for breakfast with Nevaeh, Eva, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/10/01?\", \"Nevaeh, Eva, Piper\"], [\"what did I eat for breakfast on 2014/10/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7245\", \"logical_representation\": [\"2014/10/01\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I watched a documentary for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/01?\", \"30 minutes\"], [\"what did I watch on tv on 2014/10/01?\", \"a documentary\"], [\"Did I watch tv on 2014/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/02\": {\"lunch\": {\"eid\": \"e7246\", \"logical_representation\": [\"2014/10/02\", \"lunch\", \"fish and chips\", \"Nevaeh, Lydia\"], \"text_template_based\": \"I had lunch with Nevaeh, Lydia. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/10/02?\", \"Nevaeh, Lydia\"], [\"what did I eat for lunch on 2014/10/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7247\", \"logical_representation\": [\"2014/10/02\", \"dinner\", \"sushi\", \"Nevaeh, Claire\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7248\", \"logical_representation\": [\"2014/10/02\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/02?\", \"27 minutes\"], [\"what did I watch on tv on 2014/10/02?\", \"a documentary\"], [\"Did I watch tv on 2014/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/04\": {\"breakfast\": {\"eid\": \"e7252\", \"logical_representation\": [\"2014/10/04\", \"breakfast\", \"oatmeal\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/10/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7253\", \"logical_representation\": [\"2014/10/04\", \"lunch\", \"a burger\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/10/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7254\", \"logical_representation\": [\"2014/10/04\", \"Rylee, Nora\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Rylee, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora in the morning on 2014/10/04?\", \"32 minutes\"], [\"who did I talk to on 2014/10/04?\", \"Rylee, Nora\"], [\"Did I talk to Rylee, Nora on 2014/10/04?\", \"yes\"], [\"Did I talk to anyone on 2014/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7255\", \"logical_representation\": [\"2014/10/04\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/10/04?\", \"24 minutes\"], [\"what did I read on 2014/10/04?\", \"news\"], [\"Did I read on 2014/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7256\", \"logical_representation\": [\"2014/10/04\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/04?\", \"53 minutes\"], [\"what did I watch on tv on 2014/10/04?\", \"a movie\"], [\"Did I watch tv on 2014/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/05\": {\"chat0\": {\"eid\": \"e7257\", \"logical_representation\": [\"2014/10/05\", \"Rylee, Avery\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery for 15 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery in the early evening on 2014/10/05?\", \"15 minutes\"], [\"who did I talk to on 2014/10/05?\", \"Rylee, Avery\"], [\"Did I talk to Rylee, Avery on 2014/10/05?\", \"yes\"], [\"Did I talk to anyone on 2014/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7258\", \"logical_representation\": [\"2014/10/05\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/10/05?\", \"28 minutes\"], [\"what did I read on 2014/10/05?\", \"social media\"], [\"Did I read on 2014/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/06\": {\"exercise\": {\"eid\": \"e7259\", \"logical_representation\": [\"2014/10/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/10/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7260\", \"logical_representation\": [\"2014/10/06\", \"breakfast\", \"pancakes\", \"Lydia, Layla, Avery, Eva, Claire, Kinsley, Piper\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/10/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7261\", \"logical_representation\": [\"2014/10/06\", \"Avery, Nevaeh\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Avery, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh in the early afternoon on 2014/10/06?\", \"6 minutes\"], [\"who did I talk to on 2014/10/06?\", \"Avery, Nevaeh\"], [\"Did I talk to Avery, Nevaeh on 2014/10/06?\", \"yes\"], [\"Did I talk to anyone on 2014/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/10\": {\"exercise\": {\"eid\": \"e7273\", \"logical_representation\": [\"2014/10/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/10/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7274\", \"logical_representation\": [\"2014/10/10\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7275\", \"logical_representation\": [\"2014/10/10\", \"Lydia, Piper, Hazel, Avery\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Hazel, Avery for 7 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Hazel, Avery in the morning on 2014/10/10?\", \"7 minutes\"], [\"who did I talk to on 2014/10/10?\", \"Lydia, Piper, Hazel, Avery\"], [\"Did I talk to Lydia, Piper, Hazel, Avery on 2014/10/10?\", \"yes\"], [\"Did I talk to anyone on 2014/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7276\", \"logical_representation\": [\"2014/10/10\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/10/10?\", \"16 minutes\"], [\"what did I read on 2014/10/10?\", \"a book\"], [\"Did I read on 2014/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/11\": {\"dinner\": {\"eid\": \"e7277\", \"logical_representation\": [\"2014/10/11\", \"dinner\", \"chinese food\", \"Benjamin\"], \"text_template_based\": \"I had dinner with Benjamin. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/10/11?\", \"Benjamin\"], [\"what did I eat for dinner on 2014/10/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2014/10/13\": {\"lunch\": {\"eid\": \"e7281\", \"logical_representation\": [\"2014/10/13\", \"lunch\", \"fish and chips\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had fish and chips for lunch with Emily, Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/10/13?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2014/10/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7282\", \"logical_representation\": [\"2014/10/13\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/10/13?\", \"18 minutes\"], [\"what did I read on 2014/10/13?\", \"news\"], [\"Did I read on 2014/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7283\", \"logical_representation\": [\"2014/10/13\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I watched a tv series for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/13?\", \"17 minutes\"], [\"what did I watch on tv on 2014/10/13?\", \"a tv series\"], [\"Did I watch tv on 2014/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/14\": {\"chat0\": {\"eid\": \"e7284\", \"logical_representation\": [\"2014/10/14\", \"Claire, Avery\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Claire, Avery for 10 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery late in the evening on 2014/10/14?\", \"10 minutes\"], [\"who did I talk to on 2014/10/14?\", \"Claire, Avery\"], [\"Did I talk to Claire, Avery on 2014/10/14?\", \"yes\"], [\"Did I talk to anyone on 2014/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7285\", \"logical_representation\": [\"2014/10/14\", \"Layla\", \"in the morning\", \"50 minutes\"], \"text_template_based\": \"I talked to Layla for 50 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2014/10/14?\", \"50 minutes\"], [\"who did I talk to on 2014/10/14?\", \"Layla\"], [\"Did I talk to Layla on 2014/10/14?\", \"yes\"], [\"Did I talk to anyone on 2014/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7286\", \"logical_representation\": [\"2014/10/14\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/10/14?\", \"47 minutes\"], [\"what did I read on 2014/10/14?\", \"news\"], [\"Did I read on 2014/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/16\": {\"exercise\": {\"eid\": \"e7292\", \"logical_representation\": [\"2014/10/16\", \"running\"], \"text_template_based\": \"I did running on 2014/10/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7293\", \"logical_representation\": [\"2014/10/16\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/10/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7294\", \"logical_representation\": [\"2014/10/16\", \"dinner\", \"chinese food\", \"Rylee, Kinsley\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7295\", \"logical_representation\": [\"2014/10/16\", \"Olivia\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the morning on 2014/10/16?\", \"48 minutes\"], [\"who did I talk to on 2014/10/16?\", \"Olivia\"], [\"Did I talk to Olivia on 2014/10/16?\", \"yes\"], [\"Did I talk to anyone on 2014/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/17\": {\"exercise\": {\"eid\": \"e7296\", \"logical_representation\": [\"2014/10/17\", \"biking\"], \"text_template_based\": \"I did biking on 2014/10/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7297\", \"logical_representation\": [\"2014/10/17\", \"breakfast\", \"toast and cheese\", \"Nevaeh, Piper, Eva, Olivia, Claire, Lydia, Hazel, Piper\"], \"text_template_based\": \"I had breakfast with Nevaeh, Piper, Eva, Olivia, Claire, Lydia, Hazel, Piper. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/10/17?\", \"Nevaeh, Piper, Eva, Olivia, Claire, Lydia, Hazel, Piper\"], [\"what did I eat for breakfast on 2014/10/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7298\", \"logical_representation\": [\"2014/10/17\", \"lunch\", \"steak\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I had steak for lunch with Jackson, Avery, Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/10/17?\", \"Jackson, Avery, Benjamin, Willow\"], [\"what did I eat for lunch on 2014/10/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7299\", \"logical_representation\": [\"2014/10/17\", \"Piper\", \"in the morning\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2014/10/17?\", \"34 minutes\"], [\"who did I talk to on 2014/10/17?\", \"Piper\"], [\"Did I talk to Piper on 2014/10/17?\", \"yes\"], [\"Did I talk to anyone on 2014/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7300\", \"logical_representation\": [\"2014/10/17\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/17?\", \"22 minutes\"], [\"what did I watch on tv on 2014/10/17?\", \"a tv series\"], [\"Did I watch tv on 2014/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/18\": {\"exercise\": {\"eid\": \"e7301\", \"logical_representation\": [\"2014/10/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/10/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7302\", \"logical_representation\": [\"2014/10/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Layla, Claire, Piper, Olivia, Piper, Eva, Rylee, Hazel, Nora\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/10/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7303\", \"logical_representation\": [\"2014/10/18\", \"dinner\", \"sandwich\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7304\", \"logical_representation\": [\"2014/10/18\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/10/18?\", \"6 minutes\"], [\"what did I read on 2014/10/18?\", \"a book\"], [\"Did I read on 2014/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/19\": {\"exercise\": {\"eid\": \"e7305\", \"logical_representation\": [\"2014/10/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/10/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7306\", \"logical_representation\": [\"2014/10/19\", \"breakfast\", \"cereals\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/10/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7307\", \"logical_representation\": [\"2014/10/19\", \"lunch\", \"sushi\", \"Carter\"], \"text_template_based\": \"I had sushi for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/10/19?\", \"Carter\"], [\"what did I eat for lunch on 2014/10/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7308\", \"logical_representation\": [\"2014/10/19\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/10/19?\", \"38 minutes\"], [\"what did I read on 2014/10/19?\", \"social media\"], [\"Did I read on 2014/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7309\", \"logical_representation\": [\"2014/10/19\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/19?\", \"53 minutes\"], [\"what did I watch on tv on 2014/10/19?\", \"news\"], [\"Did I watch tv on 2014/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/20\": {\"dinner\": {\"eid\": \"e7310\", \"logical_representation\": [\"2014/10/20\", \"dinner\", \"indian food\", \"Eva, Olivia, Rylee, Piper, Hazel\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7311\", \"logical_representation\": [\"2014/10/20\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/20?\", \"27 minutes\"], [\"what did I watch on tv on 2014/10/20?\", \"a documentary\"], [\"Did I watch tv on 2014/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/22\": {\"breakfast\": {\"eid\": \"e7315\", \"logical_representation\": [\"2014/10/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Kinsley, Layla, Eva, Nora, Nevaeh, Piper, Avery\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/10/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7316\", \"logical_representation\": [\"2014/10/22\", \"lunch\", \"indian food\", \"Avery, Piper, Claire, Piper, Layla, Olivia\"], \"text_template_based\": \"I had lunch with Avery, Piper, Claire, Piper, Layla, Olivia. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/10/22?\", \"Avery, Piper, Claire, Piper, Layla, Olivia\"], [\"what did I eat for lunch on 2014/10/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7317\", \"logical_representation\": [\"2014/10/22\", \"dinner\", \"tacos\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7318\", \"logical_representation\": [\"2014/10/22\", \"Kinsley, Piper\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Kinsley, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the early evening on 2014/10/22?\", \"30 minutes\"], [\"who did I talk to on 2014/10/22?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2014/10/22?\", \"yes\"], [\"Did I talk to anyone on 2014/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7319\", \"logical_representation\": [\"2014/10/22\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/10/22?\", \"46 minutes\"], [\"what did I read on 2014/10/22?\", \"a book\"], [\"Did I read on 2014/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7320\", \"logical_representation\": [\"2014/10/22\", \"a movie\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/22?\", \"52 minutes\"], [\"what did I watch on tv on 2014/10/22?\", \"a movie\"], [\"Did I watch tv on 2014/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/23\": {\"chat0\": {\"eid\": \"e7321\", \"logical_representation\": [\"2014/10/23\", \"Layla, Rylee, Eva\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Layla, Rylee, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Eva in the early afternoon on 2014/10/23?\", \"48 minutes\"], [\"who did I talk to on 2014/10/23?\", \"Layla, Rylee, Eva\"], [\"Did I talk to Layla, Rylee, Eva on 2014/10/23?\", \"yes\"], [\"Did I talk to anyone on 2014/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7322\", \"logical_representation\": [\"2014/10/23\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/10/23?\", \"31 minutes\"], [\"what did I read on 2014/10/23?\", \"news\"], [\"Did I read on 2014/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7323\", \"logical_representation\": [\"2014/10/23\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/23?\", \"11 minutes\"], [\"what did I watch on tv on 2014/10/23?\", \"a tv series\"], [\"Did I watch tv on 2014/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/25\": {\"breakfast\": {\"eid\": \"e7327\", \"logical_representation\": [\"2014/10/25\", \"breakfast\", \"pancakes\", \"Lydia, Piper\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/10/25\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7328\", \"logical_representation\": [\"2014/10/25\", \"lunch\", \"steak\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/10/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7329\", \"logical_representation\": [\"2014/10/25\", \"dinner\", \"pasta\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/10/25?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2014/10/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7330\", \"logical_representation\": [\"2014/10/25\", \"Piper, Eva, Avery\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Piper, Eva, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Avery during lunch hours on 2014/10/25?\", \"44 minutes\"], [\"who did I talk to on 2014/10/25?\", \"Piper, Eva, Avery\"], [\"Did I talk to Piper, Eva, Avery on 2014/10/25?\", \"yes\"], [\"Did I talk to anyone on 2014/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7331\", \"logical_representation\": [\"2014/10/25\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/10/25?\", \"47 minutes\"], [\"what did I read on 2014/10/25?\", \"social media\"], [\"Did I read on 2014/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/26\": {\"exercise\": {\"eid\": \"e7332\", \"logical_representation\": [\"2014/10/26\", \"biking\"], \"text_template_based\": \"I did biking on 2014/10/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7333\", \"logical_representation\": [\"2014/10/26\", \"Avery, Claire, Hazel\", \"in the early afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Avery, Claire, Hazel for 14 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire, Hazel in the early afternoon on 2014/10/26?\", \"14 minutes\"], [\"who did I talk to on 2014/10/26?\", \"Avery, Claire, Hazel\"], [\"Did I talk to Avery, Claire, Hazel on 2014/10/26?\", \"yes\"], [\"Did I talk to anyone on 2014/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7334\", \"logical_representation\": [\"2014/10/26\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/10/26?\", \"5 minutes\"], [\"what did I read on 2014/10/26?\", \"social media\"], [\"Did I read on 2014/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/27\": {\"lunch\": {\"eid\": \"e7335\", \"logical_representation\": [\"2014/10/27\", \"lunch\", \"steak\", \"Hazel, Lydia, Claire, Nevaeh, Nora, Layla, Avery, Piper\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/10/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7336\", \"logical_representation\": [\"2014/10/27\", \"dinner\", \"sushi\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had dinner with Avery, Willow, Benjamin, Jackson. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/10/27?\", \"Avery, Willow, Benjamin, Jackson\"], [\"what did I eat for dinner on 2014/10/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7337\", \"logical_representation\": [\"2014/10/27\", \"Kinsley, Lydia, Hazel\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia, Hazel for 40 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Hazel in the late afternoon on 2014/10/27?\", \"40 minutes\"], [\"who did I talk to on 2014/10/27?\", \"Kinsley, Lydia, Hazel\"], [\"Did I talk to Kinsley, Lydia, Hazel on 2014/10/27?\", \"yes\"], [\"Did I talk to anyone on 2014/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7338\", \"logical_representation\": [\"2014/10/27\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/10/27?\", \"36 minutes\"], [\"what did I read on 2014/10/27?\", \"news\"], [\"Did I read on 2014/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7339\", \"logical_representation\": [\"2014/10/27\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/27?\", \"48 minutes\"], [\"what did I watch on tv on 2014/10/27?\", \"a tv series\"], [\"Did I watch tv on 2014/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/28\": {\"exercise\": {\"eid\": \"e7340\", \"logical_representation\": [\"2014/10/28\", \"running\"], \"text_template_based\": \"I did running on 2014/10/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7341\", \"logical_representation\": [\"2014/10/28\", \"breakfast\", \"cereals\", \"Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/10/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7342\", \"logical_representation\": [\"2014/10/28\", \"dinner\", \"sandwich\", \"Layla, Eva, Lydia, Piper, Avery, Nevaeh, Nora, Claire, Olivia, Hazel, Kinsley, Piper, Rylee\"], \"text_template_based\": \"I had dinner with Layla, Eva, Lydia, Piper, Avery, Nevaeh, Nora, Claire, Olivia, Hazel, Kinsley, Piper, Rylee. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/10/28?\", \"Layla, Eva, Lydia, Piper, Avery, Nevaeh, Nora, Claire, Olivia, Hazel, Kinsley, Piper, Rylee\"], [\"what did I eat for dinner on 2014/10/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7343\", \"logical_representation\": [\"2014/10/28\", \"Nevaeh\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 46 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh during lunch hours on 2014/10/28?\", \"46 minutes\"], [\"who did I talk to on 2014/10/28?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2014/10/28?\", \"yes\"], [\"Did I talk to anyone on 2014/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7344\", \"logical_representation\": [\"2014/10/28\", \"a documentary\", \"21 minutes\"], \"text_template_based\": \"I watched a documentary for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/28?\", \"21 minutes\"], [\"what did I watch on tv on 2014/10/28?\", \"a documentary\"], [\"Did I watch tv on 2014/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/29\": {\"lunch\": {\"eid\": \"e7345\", \"logical_representation\": [\"2014/10/29\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/10/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7346\", \"logical_representation\": [\"2014/10/29\", \"dinner\", \"sandwich\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2014/11/02\": {\"breakfast\": {\"eid\": \"e7362\", \"logical_representation\": [\"2014/11/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/11/02?\", \"Emily, Kayden, Carter\"], [\"what did I eat for breakfast on 2014/11/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7363\", \"logical_representation\": [\"2014/11/02\", \"lunch\", \"tacos\", \"Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7364\", \"logical_representation\": [\"2014/11/02\", \"Piper\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2014/11/02?\", \"19 minutes\"], [\"who did I talk to on 2014/11/02?\", \"Piper\"], [\"Did I talk to Piper on 2014/11/02?\", \"yes\"], [\"Did I talk to anyone on 2014/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7365\", \"logical_representation\": [\"2014/11/02\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/11/02?\", \"53 minutes\"], [\"what did I read on 2014/11/02?\", \"news\"], [\"Did I read on 2014/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7366\", \"logical_representation\": [\"2014/11/02\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/02?\", \"20 minutes\"], [\"what did I watch on tv on 2014/11/02?\", \"a tv series\"], [\"Did I watch tv on 2014/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/04\": {\"lunch\": {\"eid\": \"e7369\", \"logical_representation\": [\"2014/11/04\", \"lunch\", \"pasta\", \"Nora, Claire, Olivia\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7370\", \"logical_representation\": [\"2014/11/04\", \"Rylee\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Rylee for 47 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2014/11/04?\", \"47 minutes\"], [\"who did I talk to on 2014/11/04?\", \"Rylee\"], [\"Did I talk to Rylee on 2014/11/04?\", \"yes\"], [\"Did I talk to anyone on 2014/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7371\", \"logical_representation\": [\"2014/11/04\", \"a book\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/11/04?\", \"21 minutes\"], [\"what did I read on 2014/11/04?\", \"a book\"], [\"Did I read on 2014/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7372\", \"logical_representation\": [\"2014/11/04\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/04?\", \"9 minutes\"], [\"what did I watch on tv on 2014/11/04?\", \"a tv series\"], [\"Did I watch tv on 2014/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/05\": {\"breakfast\": {\"eid\": \"e7373\", \"logical_representation\": [\"2014/11/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/11/05?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2014/11/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7374\", \"logical_representation\": [\"2014/11/05\", \"Hazel, Piper, Eva\", \"in the morning\", \"34 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Eva for 34 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Eva in the morning on 2014/11/05?\", \"34 minutes\"], [\"who did I talk to on 2014/11/05?\", \"Hazel, Piper, Eva\"], [\"Did I talk to Hazel, Piper, Eva on 2014/11/05?\", \"yes\"], [\"Did I talk to anyone on 2014/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7375\", \"logical_representation\": [\"2014/11/05\", \"Piper, Kinsley\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley for 6 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley in the late afternoon on 2014/11/05?\", \"6 minutes\"], [\"who did I talk to on 2014/11/05?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2014/11/05?\", \"yes\"], [\"Did I talk to anyone on 2014/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7376\", \"logical_representation\": [\"2014/11/05\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/11/05?\", \"30 minutes\"], [\"what did I read on 2014/11/05?\", \"a book\"], [\"Did I read on 2014/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/06\": {\"exercise\": {\"eid\": \"e7377\", \"logical_representation\": [\"2014/11/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/11/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7378\", \"logical_representation\": [\"2014/11/06\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/11/06?\", \"47 minutes\"], [\"what did I read on 2014/11/06?\", \"social media\"], [\"Did I read on 2014/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7379\", \"logical_representation\": [\"2014/11/06\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/06?\", \"23 minutes\"], [\"what did I watch on tv on 2014/11/06?\", \"news\"], [\"Did I watch tv on 2014/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/07\": {\"breakfast\": {\"eid\": \"e7380\", \"logical_representation\": [\"2014/11/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7381\", \"logical_representation\": [\"2014/11/07\", \"lunch\", \"tacos\", \"Avery\"], \"text_template_based\": \"I had tacos for lunch with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/11/07?\", \"Avery\"], [\"what did I eat for lunch on 2014/11/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7382\", \"logical_representation\": [\"2014/11/07\", \"a documentary\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/07?\", \"41 minutes\"], [\"what did I watch on tv on 2014/11/07?\", \"a documentary\"], [\"Did I watch tv on 2014/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/08\": {\"lunch\": {\"eid\": \"e7383\", \"logical_representation\": [\"2014/11/08\", \"lunch\", \"pasta\", \"Emily, Carter\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7384\", \"logical_representation\": [\"2014/11/08\", \"dinner\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/11/08?\", \"Carter\"], [\"what did I eat for dinner on 2014/11/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7385\", \"logical_representation\": [\"2014/11/08\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/11/08?\", \"38 minutes\"], [\"what did I read on 2014/11/08?\", \"news\"], [\"Did I read on 2014/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7386\", \"logical_representation\": [\"2014/11/08\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/08?\", \"46 minutes\"], [\"what did I watch on tv on 2014/11/08?\", \"a documentary\"], [\"Did I watch tv on 2014/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/09\": {\"breakfast\": {\"eid\": \"e7387\", \"logical_representation\": [\"2014/11/09\", \"breakfast\", \"oatmeal\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Emily, Carter. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/11/09?\", \"Kayden, Emily, Carter\"], [\"what did I eat for breakfast on 2014/11/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7388\", \"logical_representation\": [\"2014/11/09\", \"lunch\", \"indian food\", \"Carter\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7389\", \"logical_representation\": [\"2014/11/09\", \"dinner\", \"chinese food\", \"Hazel, Piper, Piper, Rylee\"], \"text_template_based\": \"I had dinner with Hazel, Piper, Piper, Rylee. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/11/09?\", \"Hazel, Piper, Piper, Rylee\"], [\"what did I eat for dinner on 2014/11/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7390\", \"logical_representation\": [\"2014/11/09\", \"Piper, Nevaeh\", \"in the early afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Piper, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh in the early afternoon on 2014/11/09?\", \"50 minutes\"], [\"who did I talk to on 2014/11/09?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2014/11/09?\", \"yes\"], [\"Did I talk to anyone on 2014/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/10\": {\"exercise\": {\"eid\": \"e7391\", \"logical_representation\": [\"2014/11/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/11/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7392\", \"logical_representation\": [\"2014/11/10\", \"lunch\", \"chinese food\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7393\", \"logical_representation\": [\"2014/11/10\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/11/10?\", \"12 minutes\"], [\"what did I read on 2014/11/10?\", \"social media\"], [\"Did I read on 2014/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/12\": {\"breakfast\": {\"eid\": \"e7399\", \"logical_representation\": [\"2014/11/12\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7400\", \"logical_representation\": [\"2014/11/12\", \"dinner\", \"chinese food\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/11/12?\", \"Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2014/11/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7401\", \"logical_representation\": [\"2014/11/12\", \"Lydia, Eva, Kinsley, Rylee\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva, Kinsley, Rylee for 20 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Kinsley, Rylee in the early afternoon on 2014/11/12?\", \"20 minutes\"], [\"who did I talk to on 2014/11/12?\", \"Lydia, Eva, Kinsley, Rylee\"], [\"Did I talk to Lydia, Eva, Kinsley, Rylee on 2014/11/12?\", \"yes\"], [\"Did I talk to anyone on 2014/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7402\", \"logical_representation\": [\"2014/11/12\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/11/12?\", \"37 minutes\"], [\"what did I read on 2014/11/12?\", \"social media\"], [\"Did I read on 2014/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/13\": {\"exercise\": {\"eid\": \"e7403\", \"logical_representation\": [\"2014/11/13\", \"biking\"], \"text_template_based\": \"I did biking on 2014/11/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7404\", \"logical_representation\": [\"2014/11/13\", \"breakfast\", \"toast and cheese\", \"Kinsley, Piper, Eva, Claire, Rylee, Olivia, Nevaeh, Avery, Nora, Lydia, Hazel\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7405\", \"logical_representation\": [\"2014/11/13\", \"dinner\", \"tacos\", \"Carter\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7406\", \"logical_representation\": [\"2014/11/13\", \"Kinsley, Nora, Rylee\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora, Rylee for 23 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Rylee in the late afternoon on 2014/11/13?\", \"23 minutes\"], [\"who did I talk to on 2014/11/13?\", \"Kinsley, Nora, Rylee\"], [\"Did I talk to Kinsley, Nora, Rylee on 2014/11/13?\", \"yes\"], [\"Did I talk to anyone on 2014/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7407\", \"logical_representation\": [\"2014/11/13\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/11/13?\", \"36 minutes\"], [\"what did I read on 2014/11/13?\", \"news\"], [\"Did I read on 2014/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/15\": {\"exercise\": {\"eid\": \"e7413\", \"logical_representation\": [\"2014/11/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/11/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7414\", \"logical_representation\": [\"2014/11/15\", \"dinner\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7415\", \"logical_representation\": [\"2014/11/15\", \"Hazel, Layla\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Hazel, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla in the morning on 2014/11/15?\", \"6 minutes\"], [\"who did I talk to on 2014/11/15?\", \"Hazel, Layla\"], [\"Did I talk to Hazel, Layla on 2014/11/15?\", \"yes\"], [\"Did I talk to anyone on 2014/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7416\", \"logical_representation\": [\"2014/11/15\", \"Nevaeh\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 31 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early afternoon on 2014/11/15?\", \"31 minutes\"], [\"who did I talk to on 2014/11/15?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2014/11/15?\", \"yes\"], [\"Did I talk to anyone on 2014/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7417\", \"logical_representation\": [\"2014/11/15\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/11/15?\", \"52 minutes\"], [\"what did I read on 2014/11/15?\", \"social media\"], [\"Did I read on 2014/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/18\": {\"exercise\": {\"eid\": \"e7425\", \"logical_representation\": [\"2014/11/18\", \"running\"], \"text_template_based\": \"I did running on 2014/11/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/18?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7426\", \"logical_representation\": [\"2014/11/18\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Claire, Piper, Avery, Hazel, Nora, Olivia, Lydia, Layla, Rylee, Eva, Nevaeh\"], \"text_template_based\": \"I had breakfast with Kinsley, Claire, Piper, Avery, Hazel, Nora, Olivia, Lydia, Layla, Rylee, Eva, Nevaeh. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/11/18?\", \"Kinsley, Claire, Piper, Avery, Hazel, Nora, Olivia, Lydia, Layla, Rylee, Eva, Nevaeh\"], [\"what did I eat for breakfast on 2014/11/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7427\", \"logical_representation\": [\"2014/11/18\", \"lunch\", \"sandwich\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7428\", \"logical_representation\": [\"2014/11/18\", \"dinner\", \"chinese food\", \"Lydia, Piper, Kinsley, Piper, Olivia, Claire, Avery, Nora, Eva, Rylee, Hazel, Layla\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7429\", \"logical_representation\": [\"2014/11/18\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I watched a documentary for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/18?\", \"51 minutes\"], [\"what did I watch on tv on 2014/11/18?\", \"a documentary\"], [\"Did I watch tv on 2014/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/19\": {\"exercise\": {\"eid\": \"e7430\", \"logical_representation\": [\"2014/11/19\", \"running\"], \"text_template_based\": \"I did running on 2014/11/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7431\", \"logical_representation\": [\"2014/11/19\", \"breakfast\", \"cereals\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/19\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2014/11/20\": {\"exercise\": {\"eid\": \"e7432\", \"logical_representation\": [\"2014/11/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/11/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7433\", \"logical_representation\": [\"2014/11/20\", \"dinner\", \"pasta\", \"Jackson, Avery\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7434\", \"logical_representation\": [\"2014/11/20\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/11/20?\", \"51 minutes\"], [\"what did I read on 2014/11/20?\", \"social media\"], [\"Did I read on 2014/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/21\": {\"lunch\": {\"eid\": \"e7435\", \"logical_representation\": [\"2014/11/21\", \"lunch\", \"steak\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7436\", \"logical_representation\": [\"2014/11/21\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/11/21?\", \"34 minutes\"], [\"what did I read on 2014/11/21?\", \"social media\"], [\"Did I read on 2014/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7437\", \"logical_representation\": [\"2014/11/21\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I watched a tv series for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/21?\", \"9 minutes\"], [\"what did I watch on tv on 2014/11/21?\", \"a tv series\"], [\"Did I watch tv on 2014/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/22\": {\"exercise\": {\"eid\": \"e7438\", \"logical_representation\": [\"2014/11/22\", \"running\"], \"text_template_based\": \"I did running on 2014/11/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7439\", \"logical_representation\": [\"2014/11/22\", \"dinner\", \"tacos\", \"Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7440\", \"logical_representation\": [\"2014/11/22\", \"Piper, Lydia, Nevaeh\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Piper, Lydia, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Nevaeh during lunch hours on 2014/11/22?\", \"42 minutes\"], [\"who did I talk to on 2014/11/22?\", \"Piper, Lydia, Nevaeh\"], [\"Did I talk to Piper, Lydia, Nevaeh on 2014/11/22?\", \"yes\"], [\"Did I talk to anyone on 2014/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/23\": {\"dinner\": {\"eid\": \"e7441\", \"logical_representation\": [\"2014/11/23\", \"dinner\", \"chinese food\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7442\", \"logical_representation\": [\"2014/11/23\", \"Piper, Kinsley, Piper\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Piper, Kinsley, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Piper in the morning on 2014/11/23?\", \"38 minutes\"], [\"who did I talk to on 2014/11/23?\", \"Piper, Kinsley, Piper\"], [\"Did I talk to Piper, Kinsley, Piper on 2014/11/23?\", \"yes\"], [\"Did I talk to anyone on 2014/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7443\", \"logical_representation\": [\"2014/11/23\", \"news\", \"18 minutes\"], \"text_template_based\": \"I watched news for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/23?\", \"18 minutes\"], [\"what did I watch on tv on 2014/11/23?\", \"news\"], [\"Did I watch tv on 2014/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/26\": {\"exercise\": {\"eid\": \"e7453\", \"logical_representation\": [\"2014/11/26\", \"biking\"], \"text_template_based\": \"I did biking on 2014/11/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7454\", \"logical_representation\": [\"2014/11/26\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had pasta for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/11/26?\", \"Emily\"], [\"what did I eat for lunch on 2014/11/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7455\", \"logical_representation\": [\"2014/11/26\", \"dinner\", \"steak\", \"Olivia, Layla\"], \"text_template_based\": \"I had dinner with Olivia, Layla. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/11/26?\", \"Olivia, Layla\"], [\"what did I eat for dinner on 2014/11/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7456\", \"logical_representation\": [\"2014/11/26\", \"Hazel, Nevaeh, Avery\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Hazel, Nevaeh, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh, Avery in the early evening on 2014/11/26?\", \"41 minutes\"], [\"who did I talk to on 2014/11/26?\", \"Hazel, Nevaeh, Avery\"], [\"Did I talk to Hazel, Nevaeh, Avery on 2014/11/26?\", \"yes\"], [\"Did I talk to anyone on 2014/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7457\", \"logical_representation\": [\"2014/11/26\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/26?\", \"50 minutes\"], [\"what did I watch on tv on 2014/11/26?\", \"a tv series\"], [\"Did I watch tv on 2014/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/27\": {\"exercise\": {\"eid\": \"e7458\", \"logical_representation\": [\"2014/11/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7459\", \"logical_representation\": [\"2014/11/27\", \"breakfast\", \"pancakes\", \"Hazel, Kinsley, Piper, Nora, Nevaeh, Rylee, Olivia, Avery, Claire, Layla\"], \"text_template_based\": \"I had pancakes for breakfast with Hazel, Kinsley, Piper, Nora, Nevaeh, Rylee, Olivia, Avery, Claire, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/11/27?\", \"Hazel, Kinsley, Piper, Nora, Nevaeh, Rylee, Olivia, Avery, Claire, Layla\"], [\"what did I eat for breakfast on 2014/11/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7460\", \"logical_representation\": [\"2014/11/27\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7461\", \"logical_representation\": [\"2014/11/27\", \"Rylee, Nevaeh, Piper, Piper\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh, Piper, Piper for 37 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Piper, Piper during lunch hours on 2014/11/27?\", \"37 minutes\"], [\"who did I talk to on 2014/11/27?\", \"Rylee, Nevaeh, Piper, Piper\"], [\"Did I talk to Rylee, Nevaeh, Piper, Piper on 2014/11/27?\", \"yes\"], [\"Did I talk to anyone on 2014/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/28\": {\"chat0\": {\"eid\": \"e7462\", \"logical_representation\": [\"2014/11/28\", \"Lydia, Kinsley, Rylee\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Lydia, Kinsley, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Rylee in the early afternoon on 2014/11/28?\", \"36 minutes\"], [\"who did I talk to on 2014/11/28?\", \"Lydia, Kinsley, Rylee\"], [\"Did I talk to Lydia, Kinsley, Rylee on 2014/11/28?\", \"yes\"], [\"Did I talk to anyone on 2014/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7463\", \"logical_representation\": [\"2014/11/28\", \"Olivia, Claire, Hazel\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Olivia, Claire, Hazel for 19 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire, Hazel in the early afternoon on 2014/11/28?\", \"19 minutes\"], [\"who did I talk to on 2014/11/28?\", \"Olivia, Claire, Hazel\"], [\"Did I talk to Olivia, Claire, Hazel on 2014/11/28?\", \"yes\"], [\"Did I talk to anyone on 2014/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7464\", \"logical_representation\": [\"2014/11/28\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/11/28?\", \"36 minutes\"], [\"what did I read on 2014/11/28?\", \"news\"], [\"Did I read on 2014/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7465\", \"logical_representation\": [\"2014/11/28\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/28?\", \"30 minutes\"], [\"what did I watch on tv on 2014/11/28?\", \"news\"], [\"Did I watch tv on 2014/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/29\": {\"exercise\": {\"eid\": \"e7466\", \"logical_representation\": [\"2014/11/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/11/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7467\", \"logical_representation\": [\"2014/11/29\", \"breakfast\", \"toast and cheese\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7468\", \"logical_representation\": [\"2014/11/29\", \"lunch\", \"chinese food\", \"Nevaeh, Piper, Lydia, Hazel, Eva, Nora, Claire, Olivia, Rylee, Kinsley, Layla, Piper, Avery\"], \"text_template_based\": \"I had lunch with Nevaeh, Piper, Lydia, Hazel, Eva, Nora, Claire, Olivia, Rylee, Kinsley, Layla, Piper, Avery. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/11/29?\", \"Nevaeh, Piper, Lydia, Hazel, Eva, Nora, Claire, Olivia, Rylee, Kinsley, Layla, Piper, Avery\"], [\"what did I eat for lunch on 2014/11/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7469\", \"logical_representation\": [\"2014/11/29\", \"dinner\", \"chinese food\", \"Kinsley, Rylee\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7470\", \"logical_representation\": [\"2014/11/29\", \"Piper, Rylee\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee for 32 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the early afternoon on 2014/11/29?\", \"32 minutes\"], [\"who did I talk to on 2014/11/29?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2014/11/29?\", \"yes\"], [\"Did I talk to anyone on 2014/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/30\": {\"exercise\": {\"eid\": \"e7471\", \"logical_representation\": [\"2014/11/30\", \"running\"], \"text_template_based\": \"I did running on 2014/11/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7472\", \"logical_representation\": [\"2014/11/30\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7473\", \"logical_representation\": [\"2014/11/30\", \"dinner\", \"a burger\", \"Layla, Olivia, Hazel\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/30\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2014/12/01\": {\"breakfast\": {\"eid\": \"e7474\", \"logical_representation\": [\"2014/12/01\", \"breakfast\", \"pancakes\", \"Nora, Layla, Claire, Piper, Olivia\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7475\", \"logical_representation\": [\"2014/12/01\", \"lunch\", \"a burger\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/12/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7476\", \"logical_representation\": [\"2014/12/01\", \"Avery, Olivia, Rylee\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Avery, Olivia, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Rylee in the early afternoon on 2014/12/01?\", \"51 minutes\"], [\"who did I talk to on 2014/12/01?\", \"Avery, Olivia, Rylee\"], [\"Did I talk to Avery, Olivia, Rylee on 2014/12/01?\", \"yes\"], [\"Did I talk to anyone on 2014/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7477\", \"logical_representation\": [\"2014/12/01\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/12/01?\", \"25 minutes\"], [\"what did I read on 2014/12/01?\", \"news\"], [\"Did I read on 2014/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/03\": {\"exercise\": {\"eid\": \"e7479\", \"logical_representation\": [\"2014/12/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/12/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7480\", \"logical_representation\": [\"2014/12/03\", \"breakfast\", \"oatmeal\", \"Piper, Claire, Rylee, Eva, Nevaeh, Lydia, Kinsley, Nora, Olivia, Piper, Hazel\"], \"text_template_based\": \"I had oatmeal for breakfast with Piper, Claire, Rylee, Eva, Nevaeh, Lydia, Kinsley, Nora, Olivia, Piper, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/12/03?\", \"Piper, Claire, Rylee, Eva, Nevaeh, Lydia, Kinsley, Nora, Olivia, Piper, Hazel\"], [\"what did I eat for breakfast on 2014/12/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7481\", \"logical_representation\": [\"2014/12/03\", \"dinner\", \"a burger\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/12/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7482\", \"logical_representation\": [\"2014/12/03\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/12/03?\", \"26 minutes\"], [\"what did I read on 2014/12/03?\", \"social media\"], [\"Did I read on 2014/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7483\", \"logical_representation\": [\"2014/12/03\", \"a documentary\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/03?\", \"31 minutes\"], [\"what did I watch on tv on 2014/12/03?\", \"a documentary\"], [\"Did I watch tv on 2014/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/07\": {\"breakfast\": {\"eid\": \"e7491\", \"logical_representation\": [\"2014/12/07\", \"breakfast\", \"cereals\", \"Piper, Kinsley, Hazel, Claire, Eva, Olivia\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7492\", \"logical_representation\": [\"2014/12/07\", \"Piper\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2014/12/07?\", \"42 minutes\"], [\"who did I talk to on 2014/12/07?\", \"Piper\"], [\"Did I talk to Piper on 2014/12/07?\", \"yes\"], [\"Did I talk to anyone on 2014/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7493\", \"logical_representation\": [\"2014/12/07\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/12/07?\", \"54 minutes\"], [\"what did I read on 2014/12/07?\", \"news\"], [\"Did I read on 2014/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7494\", \"logical_representation\": [\"2014/12/07\", \"news\", \"55 minutes\"], \"text_template_based\": \"I watched news for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/07?\", \"55 minutes\"], [\"what did I watch on tv on 2014/12/07?\", \"news\"], [\"Did I watch tv on 2014/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/09\": {\"breakfast\": {\"eid\": \"e7496\", \"logical_representation\": [\"2014/12/09\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Avery, Olivia, Lydia, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7497\", \"logical_representation\": [\"2014/12/09\", \"Rylee, Olivia\", \"late in the evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Rylee, Olivia for 50 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia late in the evening on 2014/12/09?\", \"50 minutes\"], [\"who did I talk to on 2014/12/09?\", \"Rylee, Olivia\"], [\"Did I talk to Rylee, Olivia on 2014/12/09?\", \"yes\"], [\"Did I talk to anyone on 2014/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7498\", \"logical_representation\": [\"2014/12/09\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/12/09?\", \"44 minutes\"], [\"what did I read on 2014/12/09?\", \"news\"], [\"Did I read on 2014/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7499\", \"logical_representation\": [\"2014/12/09\", \"a tv series\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/09?\", \"16 minutes\"], [\"what did I watch on tv on 2014/12/09?\", \"a tv series\"], [\"Did I watch tv on 2014/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/10\": {\"exercise\": {\"eid\": \"e7500\", \"logical_representation\": [\"2014/12/10\", \"biking\"], \"text_template_based\": \"I did biking on 2014/12/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7501\", \"logical_representation\": [\"2014/12/10\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/12/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7502\", \"logical_representation\": [\"2014/12/10\", \"Nora, Olivia, Avery, Piper\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Nora, Olivia, Avery, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Avery, Piper late in the evening on 2014/12/10?\", \"42 minutes\"], [\"who did I talk to on 2014/12/10?\", \"Nora, Olivia, Avery, Piper\"], [\"Did I talk to Nora, Olivia, Avery, Piper on 2014/12/10?\", \"yes\"], [\"Did I talk to anyone on 2014/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7503\", \"logical_representation\": [\"2014/12/10\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/10?\", \"42 minutes\"], [\"what did I watch on tv on 2014/12/10?\", \"news\"], [\"Did I watch tv on 2014/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/12\": {\"lunch\": {\"eid\": \"e7508\", \"logical_representation\": [\"2014/12/12\", \"lunch\", \"sandwich\", \"Emily, Andrew\"], \"text_template_based\": \"I had sandwich for lunch with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/12/12?\", \"Emily, Andrew\"], [\"what did I eat for lunch on 2014/12/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7509\", \"logical_representation\": [\"2014/12/12\", \"Rylee, Nevaeh, Nora, Avery\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh, Nora, Avery for 36 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Nora, Avery late in the evening on 2014/12/12?\", \"36 minutes\"], [\"who did I talk to on 2014/12/12?\", \"Rylee, Nevaeh, Nora, Avery\"], [\"Did I talk to Rylee, Nevaeh, Nora, Avery on 2014/12/12?\", \"yes\"], [\"Did I talk to anyone on 2014/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7510\", \"logical_representation\": [\"2014/12/12\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/12/12?\", \"33 minutes\"], [\"what did I read on 2014/12/12?\", \"news\"], [\"Did I read on 2014/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7511\", \"logical_representation\": [\"2014/12/12\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/12?\", \"18 minutes\"], [\"what did I watch on tv on 2014/12/12?\", \"a tv series\"], [\"Did I watch tv on 2014/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/13\": {\"exercise\": {\"eid\": \"e7512\", \"logical_representation\": [\"2014/12/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/12/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7513\", \"logical_representation\": [\"2014/12/13\", \"breakfast\", \"toast and cheese\", \"Claire, Kinsley, Nora, Olivia, Layla, Piper, Hazel\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7514\", \"logical_representation\": [\"2014/12/13\", \"dinner\", \"fish and chips\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I had dinner with Benjamin, Avery, Jackson, Willow. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/12/13?\", \"Benjamin, Avery, Jackson, Willow\"], [\"what did I eat for dinner on 2014/12/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7515\", \"logical_representation\": [\"2014/12/13\", \"Lydia, Kinsley, Layla, Nevaeh\", \"in the early evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley, Layla, Nevaeh for 46 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Layla, Nevaeh in the early evening on 2014/12/13?\", \"46 minutes\"], [\"who did I talk to on 2014/12/13?\", \"Lydia, Kinsley, Layla, Nevaeh\"], [\"Did I talk to Lydia, Kinsley, Layla, Nevaeh on 2014/12/13?\", \"yes\"], [\"Did I talk to anyone on 2014/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7516\", \"logical_representation\": [\"2014/12/13\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/13?\", \"25 minutes\"], [\"what did I watch on tv on 2014/12/13?\", \"a documentary\"], [\"Did I watch tv on 2014/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/14\": {\"exercise\": {\"eid\": \"e7517\", \"logical_representation\": [\"2014/12/14\", \"biking\"], \"text_template_based\": \"I did biking on 2014/12/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7518\", \"logical_representation\": [\"2014/12/14\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7519\", \"logical_representation\": [\"2014/12/14\", \"lunch\", \"fish and chips\", \"Piper, Avery, Hazel, Rylee, Claire, Lydia, Piper, Layla, Eva, Kinsley\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/12/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/12/16\": {\"exercise\": {\"eid\": \"e7525\", \"logical_representation\": [\"2014/12/16\", \"running\"], \"text_template_based\": \"I did running on 2014/12/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7526\", \"logical_representation\": [\"2014/12/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora, Piper, Kinsley, Nevaeh, Eva\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7527\", \"logical_representation\": [\"2014/12/16\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/12/16?\", \"23 minutes\"], [\"what did I read on 2014/12/16?\", \"social media\"], [\"Did I read on 2014/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/17\": {\"exercise\": {\"eid\": \"e7528\", \"logical_representation\": [\"2014/12/17\", \"running\"], \"text_template_based\": \"I did running on 2014/12/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7529\", \"logical_representation\": [\"2014/12/17\", \"breakfast\", \"cereals\", \"Jackson\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/17\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7530\", \"logical_representation\": [\"2014/12/17\", \"dinner\", \"fish and chips\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/12/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7531\", \"logical_representation\": [\"2014/12/17\", \"Rylee\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Rylee for 25 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2014/12/17?\", \"25 minutes\"], [\"who did I talk to on 2014/12/17?\", \"Rylee\"], [\"Did I talk to Rylee on 2014/12/17?\", \"yes\"], [\"Did I talk to anyone on 2014/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7532\", \"logical_representation\": [\"2014/12/17\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I watched a movie for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/17?\", \"26 minutes\"], [\"what did I watch on tv on 2014/12/17?\", \"a movie\"], [\"Did I watch tv on 2014/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/18\": {\"lunch\": {\"eid\": \"e7533\", \"logical_representation\": [\"2014/12/18\", \"lunch\", \"chinese food\", \"Hazel, Avery, Lydia, Rylee\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/12/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7534\", \"logical_representation\": [\"2014/12/18\", \"Claire, Avery\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Claire, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery in the early afternoon on 2014/12/18?\", \"34 minutes\"], [\"who did I talk to on 2014/12/18?\", \"Claire, Avery\"], [\"Did I talk to Claire, Avery on 2014/12/18?\", \"yes\"], [\"Did I talk to anyone on 2014/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/19\": {\"breakfast\": {\"eid\": \"e7535\", \"logical_representation\": [\"2014/12/19\", \"breakfast\", \"toast and cheese\", \"Kinsley, Nora, Avery, Layla, Hazel, Olivia, Piper, Eva, Claire, Piper, Rylee, Lydia\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7536\", \"logical_representation\": [\"2014/12/19\", \"dinner\", \"sushi\", \"Hazel, Olivia, Nora, Piper, Piper\"], \"text_template_based\": \"I had dinner with Hazel, Olivia, Nora, Piper, Piper. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/12/19?\", \"Hazel, Olivia, Nora, Piper, Piper\"], [\"what did I eat for dinner on 2014/12/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7537\", \"logical_representation\": [\"2014/12/19\", \"Rylee, Hazel\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Rylee, Hazel for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel in the early afternoon on 2014/12/19?\", \"36 minutes\"], [\"who did I talk to on 2014/12/19?\", \"Rylee, Hazel\"], [\"Did I talk to Rylee, Hazel on 2014/12/19?\", \"yes\"], [\"Did I talk to anyone on 2014/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/20\": {\"exercise\": {\"eid\": \"e7538\", \"logical_representation\": [\"2014/12/20\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/12/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/20?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7539\", \"logical_representation\": [\"2014/12/20\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/12/20?\", \"Emily\"], [\"what did I eat for lunch on 2014/12/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7540\", \"logical_representation\": [\"2014/12/20\", \"dinner\", \"tacos\", \"Olivia, Avery, Hazel, Eva, Piper\"], \"text_template_based\": \"I had dinner with Olivia, Avery, Hazel, Eva, Piper. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/12/20?\", \"Olivia, Avery, Hazel, Eva, Piper\"], [\"what did I eat for dinner on 2014/12/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7541\", \"logical_representation\": [\"2014/12/20\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/20?\", \"13 minutes\"], [\"what did I watch on tv on 2014/12/20?\", \"a tv series\"], [\"Did I watch tv on 2014/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/23\": {\"dinner\": {\"eid\": \"e7551\", \"logical_representation\": [\"2014/12/23\", \"dinner\", \"sandwich\", \"Hazel\"], \"text_template_based\": \"I had sandwich for dinner with Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/12/23?\", \"Hazel\"], [\"what did I eat for dinner on 2014/12/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2014/12/24\": {\"breakfast\": {\"eid\": \"e7552\", \"logical_representation\": [\"2014/12/24\", \"breakfast\", \"pancakes\", \"Kayden, Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7553\", \"logical_representation\": [\"2014/12/24\", \"dinner\", \"steak\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/12/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7554\", \"logical_representation\": [\"2014/12/24\", \"Piper, Kinsley\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Piper, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley in the early afternoon on 2014/12/24?\", \"51 minutes\"], [\"who did I talk to on 2014/12/24?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2014/12/24?\", \"yes\"], [\"Did I talk to anyone on 2014/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7555\", \"logical_representation\": [\"2014/12/24\", \"Rylee\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Rylee for 33 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2014/12/24?\", \"33 minutes\"], [\"who did I talk to on 2014/12/24?\", \"Rylee\"], [\"Did I talk to Rylee on 2014/12/24?\", \"yes\"], [\"Did I talk to anyone on 2014/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7556\", \"logical_representation\": [\"2014/12/24\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/12/24?\", \"39 minutes\"], [\"what did I read on 2014/12/24?\", \"news\"], [\"Did I read on 2014/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7557\", \"logical_representation\": [\"2014/12/24\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/24?\", \"54 minutes\"], [\"what did I watch on tv on 2014/12/24?\", \"news\"], [\"Did I watch tv on 2014/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/26\": {\"exercise\": {\"eid\": \"e7562\", \"logical_representation\": [\"2014/12/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/12/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7563\", \"logical_representation\": [\"2014/12/26\", \"Rylee, Claire, Olivia, Hazel\", \"in the late afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Rylee, Claire, Olivia, Hazel for 16 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Olivia, Hazel in the late afternoon on 2014/12/26?\", \"16 minutes\"], [\"who did I talk to on 2014/12/26?\", \"Rylee, Claire, Olivia, Hazel\"], [\"Did I talk to Rylee, Claire, Olivia, Hazel on 2014/12/26?\", \"yes\"], [\"Did I talk to anyone on 2014/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7564\", \"logical_representation\": [\"2014/12/26\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/12/26?\", \"5 minutes\"], [\"what did I read on 2014/12/26?\", \"a book\"], [\"Did I read on 2014/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7565\", \"logical_representation\": [\"2014/12/26\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I watched a tv series for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/26?\", \"37 minutes\"], [\"what did I watch on tv on 2014/12/26?\", \"a tv series\"], [\"Did I watch tv on 2014/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/28\": {\"exercise\": {\"eid\": \"e7569\", \"logical_representation\": [\"2014/12/28\", \"biking\"], \"text_template_based\": \"I did biking on 2014/12/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7570\", \"logical_representation\": [\"2014/12/28\", \"dinner\", \"indian food\", \"Kinsley, Piper, Claire, Eva, Rylee, Hazel, Olivia, Piper, Layla, Lydia, Nevaeh, Nora, Avery\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/12/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7571\", \"logical_representation\": [\"2014/12/28\", \"a documentary\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/28?\", \"45 minutes\"], [\"what did I watch on tv on 2014/12/28?\", \"a documentary\"], [\"Did I watch tv on 2014/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/29\": {\"lunch\": {\"eid\": \"e7572\", \"logical_representation\": [\"2014/12/29\", \"lunch\", \"chinese food\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had chinese food for lunch with Carter, Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/12/29?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for lunch on 2014/12/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7573\", \"logical_representation\": [\"2014/12/29\", \"dinner\", \"a burger\", \"Nora, Eva, Lydia, Layla, Avery\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/12/29\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2014/12/30\": {\"lunch\": {\"eid\": \"e7574\", \"logical_representation\": [\"2014/12/30\", \"lunch\", \"tacos\", \"Claire, Avery, Hazel, Piper, Kinsley, Eva, Rylee, Nevaeh, Nora, Piper, Layla\"], \"text_template_based\": \"I had tacos for lunch with Claire, Avery, Hazel, Piper, Kinsley, Eva, Rylee, Nevaeh, Nora, Piper, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/12/30?\", \"Claire, Avery, Hazel, Piper, Kinsley, Eva, Rylee, Nevaeh, Nora, Piper, Layla\"], [\"what did I eat for lunch on 2014/12/30\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7575\", \"logical_representation\": [\"2014/12/30\", \"Piper, Avery, Layla\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Layla for 20 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Layla in the morning on 2014/12/30?\", \"20 minutes\"], [\"who did I talk to on 2014/12/30?\", \"Piper, Avery, Layla\"], [\"Did I talk to Piper, Avery, Layla on 2014/12/30?\", \"yes\"], [\"Did I talk to anyone on 2014/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7576\", \"logical_representation\": [\"2014/12/30\", \"Eva, Piper, Claire\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Eva, Piper, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Claire in the early evening on 2014/12/30?\", \"18 minutes\"], [\"who did I talk to on 2014/12/30?\", \"Eva, Piper, Claire\"], [\"Did I talk to Eva, Piper, Claire on 2014/12/30?\", \"yes\"], [\"Did I talk to anyone on 2014/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7577\", \"logical_representation\": [\"2014/12/30\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/12/30?\", \"27 minutes\"], [\"what did I read on 2014/12/30?\", \"social media\"], [\"Did I read on 2014/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7578\", \"logical_representation\": [\"2014/12/30\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I watched a movie for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/30?\", \"36 minutes\"], [\"what did I watch on tv on 2014/12/30?\", \"a movie\"], [\"Did I watch tv on 2014/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/28\": {\"travel\": {\"eid\": \"e7581\", \"logical_representation\": [\"2015/04/28\", \"2015/05/11\", [\"Carter\"], \"Seoul, South Korea\"], \"text_template_based\": \"On 2015/04/28 Carter and I went to Seoul, South Korea together for 13 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Seoul, South Korea on 2015/04/28?\", \"Carter\"], [\"who did I go with to Seoul, South Korea?\", \"Carter\"], [\"where did I go on 2015/04/28?\", \"Seoul, South Korea\"], [\"when did I go to Seoul, South Korea?\", \"2015/04/28\"], [\"when did I go to Seoul, South Korea with Carter ?\", \"2015/04/28\"], [\"How long did I stay in Seoul, South Korea?\", \"13\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8158\", \"logical_representation\": [\"2015/04/28\", \"breakfast\", \"oatmeal\", \"Willow, Benjamin\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8159\", \"logical_representation\": [\"2015/04/28\", \"lunch\", \"indian food\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had lunch with Jackson, Avery, Willow. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/28?\", \"Jackson, Avery, Willow\"], [\"what did I eat for lunch on 2015/04/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8160\", \"logical_representation\": [\"2015/04/28\", \"Claire, Lydia, Nevaeh, Olivia\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Claire, Lydia, Nevaeh, Olivia for 19 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Nevaeh, Olivia in the early evening on 2015/04/28?\", \"19 minutes\"], [\"who did I talk to on 2015/04/28?\", \"Claire, Lydia, Nevaeh, Olivia\"], [\"Did I talk to Claire, Lydia, Nevaeh, Olivia on 2015/04/28?\", \"yes\"], [\"Did I talk to anyone on 2015/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8161\", \"logical_representation\": [\"2015/04/28\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/04/28?\", \"5 minutes\"], [\"what did I read on 2015/04/28?\", \"a book\"], [\"Did I read on 2015/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/29\": {\"places_visited\": {\"eid\": \"e7582\", \"logical_representation\": [\"2015/04/29\", [\"Carter\"], \"National Museum Of Korea\", \"took a selfie\", \"impressed\"], \"text_template_based\": \"During my trip to Seoul, South Korea, I visited National Museum Of Korea on 2015/04 with Carter.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Seoul, South Korea on 2015/04\", \"National Museum Of Korea\"], [\"when did I visit National Museum Of Korea during my trip to Seoul, South Korea\", \"2015/04/29\"], [\"when did I visit National Museum Of Korea \", \"2015/04/29\"], [\"who went with me to visit National Museum Of Korea ?\", \"Carter\"], [\"who went with me to visit National Museum Of Korea during my trip to Seoul, South Korea on 2015/04?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8162\", \"logical_representation\": [\"2015/04/29\", \"lunch\", \"fish and chips\", \"Kinsley, Avery, Piper, Rylee, Nevaeh, Layla, Eva, Claire, Nora, Lydia, Piper\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/04/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8163\", \"logical_representation\": [\"2015/04/29\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/04/29?\", \"42 minutes\"], [\"what did I read on 2015/04/29?\", \"news\"], [\"Did I read on 2015/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8164\", \"logical_representation\": [\"2015/04/29\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I watched a tv series for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/29?\", \"11 minutes\"], [\"what did I watch on tv on 2015/04/29?\", \"a tv series\"], [\"Did I watch tv on 2015/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/30\": {\"places_visited\": {\"eid\": \"e7583\", \"logical_representation\": [\"2015/04/30\", [\"Carter\"], \"Lotte World Tower\", \"recorded some videos\", \"happy\"], \"text_template_based\": \"During my trip to Seoul, South Korea, I visited Lotte World Tower on 2015/04 with Carter.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Seoul, South Korea on 2015/04\", \"Lotte World Tower\"], [\"when did I visit Lotte World Tower during my trip to Seoul, South Korea\", \"2015/04/30\"], [\"when did I visit Lotte 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\"recorded some videos\", \"special\"], \"text_template_based\": \"During my trip to Seoul, South Korea, I visited N Seoul Tower on 2015/05 with Carter.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Seoul, South Korea on 2015/05\", \"N Seoul Tower\"], [\"when did I visit N Seoul Tower during my trip to Seoul, South Korea\", \"2015/05/01\"], [\"when did I visit N Seoul Tower \", \"2015/05/01\"], [\"who went with me to visit N Seoul Tower ?\", \"Carter\"], [\"who went with me to visit N Seoul Tower during my trip to Seoul, South Korea on 2015/05?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e7586\", \"logical_representation\": [\"2015/05/01\", [\"Carter\"], \"street food\", \"Common Ground\"], \"text_template_based\": \"I ate street food at Common Ground with Carter on  2015/05/01 when I was in Seoul, South Korea.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat street food with at Common Ground ?\", \"Carter\"], [\"who did I eat street food with?\", \"Carter\"], [\"where did we eat street food during our trip to Seoul, South Korea on  2015/05/01?\", \"Common Ground\"], [\"when did we eat street food at Common Ground during our trip to Seoul, South Korea?\", \"2015/05/01\"], [\"when did we eat at Common Ground?\", \"2015/05/01\"], [\"when did we eat street food?\", \"2015/05/01\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8167\", \"logical_representation\": [\"2015/05/01\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/05/01?\", \"Carter\"], [\"what did I eat for breakfast on 2015/05/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8168\", \"logical_representation\": [\"2015/05/01\", \"lunch\", \"indian food\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/05/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8169\", \"logical_representation\": [\"2015/05/01\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/01?\", \"28 minutes\"], [\"what did I watch on tv on 2015/05/01?\", \"news\"], [\"Did I watch tv on 2015/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/02\": {\"dining\": {\"eid\": \"e7587\", \"logical_representation\": [\"2015/05/02\", [\"Carter\"], \"Indian food\", \"Seoul Bamdokkaebi Night Market\"], \"text_template_based\": \"I ate Indian food at Seoul Bamdokkaebi Night Market with Carter on  2015/05/02 when I was in Seoul, South Korea.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who 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I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/05/02?\", \"Willow\"], [\"what did I eat for lunch on 2015/05/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8171\", \"logical_representation\": [\"2015/05/02\", \"Hazel\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I talked to Hazel for 42 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2015/05/02?\", \"42 minutes\"], [\"who did I talk to on 2015/05/02?\", \"Hazel\"], [\"Did I talk to Hazel on 2015/05/02?\", \"yes\"], [\"Did I talk to anyone on 2015/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8172\", \"logical_representation\": [\"2015/05/02\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/05/02?\", \"22 minutes\"], [\"what did I read on 2015/05/02?\", \"a book\"], [\"Did I read on 2015/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/04\": {\"dining\": {\"eid\": \"e7588\", \"logical_representation\": [\"2015/05/04\", [\"Carter\"], \"local food\", \"Common Ground\"], \"text_template_based\": \"I ate local food at Common Ground with Carter on  2015/05/04 when I was in Seoul, South Korea.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at Common Ground ?\", \"Carter\"], [\"who did I eat local food with?\", \"Carter\"], [\"where did we eat local food during our trip to Seoul, South Korea on  2015/05/04?\", \"Common Ground\"], [\"when did we eat local food at Common Ground during our trip to Seoul, South Korea?\", \"2015/05/04\"], [\"when did we eat at Common Ground?\", \"2015/05/04\"], [\"when did we eat local food?\", \"2015/05/04\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8174\", \"logical_representation\": [\"2015/05/04\", \"dinner\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/05/04?\", \"Andrew\"], [\"what did I eat for dinner on 2015/05/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8175\", \"logical_representation\": [\"2015/05/04\", \"Layla\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I talked to Layla for 33 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2015/05/04?\", \"33 minutes\"], [\"who did I talk to on 2015/05/04?\", \"Layla\"], [\"Did I talk to Layla on 2015/05/04?\", \"yes\"], [\"Did I talk to anyone on 2015/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/06\": {\"dining\": {\"eid\": \"e7589\", \"logical_representation\": [\"2015/05/06\", [\"Carter\"], \"local food\", \"Seoul Bamdokkaebi Night Market\"], \"text_template_based\": \"I ate local food at Seoul Bamdokkaebi Night Market with Carter on  2015/05/06 when I was in Seoul, South Korea.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at Seoul Bamdokkaebi Night Market ?\", \"Carter\"], [\"who did I eat local food with?\", \"Carter\"], [\"where did we eat local food during our trip to Seoul, South Korea on  2015/05/06?\", \"Seoul Bamdokkaebi Night Market\"], [\"when did we eat local food at Seoul Bamdokkaebi Night Market during our trip to Seoul, South Korea?\", \"2015/05/06\"], [\"when did we eat at Seoul Bamdokkaebi Night Market?\", \"2015/05/06\"], [\"when did we eat local food?\", \"2015/05/06\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7648\", \"logical_representation\": [\"2015/05/06\", \"I bought some blueberries, apples, mangos, guava juice, pineapple juice, toothpaste, mouthwash from the grocery store. I saw Hazel, Piper, Eva, Lydia, Piper, Nevaeh, Avery, Layla, Rylee, Nora, Kinsley, Olivia, Claire at the grocery store.\", \"blueberries, apples, mangos\", \"guava juice, pineapple juice\", \"toothpaste, mouthwash\", \"Hazel, Piper, Eva, Lydia, Piper, Nevaeh, Avery, Layla, Rylee, Nora, Kinsley, Olivia, Claire\"], \"text_template_based\": \"I bought some blueberries, apples, mangos, guava juice, pineapple juice, toothpaste, mouthwash from the grocery store. I saw Hazel, Piper, Eva, Lydia, Piper, Nevaeh, Avery, Layla, Rylee, Nora, Kinsley, Olivia, Claire at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/05/06?\", \"blueberries, apples, mangos, guava juice, pineapple juice, and toothpaste, mouthwash\"], [\"what fruits did I buy from the grocery store on 2015/05/06?\", \"blueberries, apples, mangos\"], [\"what drinks did I buy from the grocery store on 2015/05/06?\", \"guava juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2015/05/06?\", \"toothpaste, mouthwash\"], [\"who did I see at the grocery store on 2015/05/06?\", \"Hazel, Piper, Eva, Lydia, Piper, Nevaeh, Avery, Layla, Rylee, Nora, Kinsley, Olivia, Claire\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8179\", \"logical_representation\": [\"2015/05/06\", \"dinner\", \"pasta\", \"Lydia, Kinsley, Olivia, Layla, Nevaeh, Hazel, Piper, Claire, Avery, Nora, Rylee, Eva\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/05/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8180\", \"logical_representation\": [\"2015/05/06\", \"Hazel, Olivia, Layla\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Hazel, Olivia, Layla for 19 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia, Layla in the early afternoon on 2015/05/06?\", \"19 minutes\"], [\"who did I talk to on 2015/05/06?\", \"Hazel, Olivia, Layla\"], [\"Did I talk to Hazel, Olivia, Layla on 2015/05/06?\", \"yes\"], [\"Did I talk to anyone on 2015/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8181\", \"logical_representation\": [\"2015/05/06\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/06?\", \"43 minutes\"], [\"what did I watch on tv on 2015/05/06?\", \"a documentary\"], [\"Did I watch tv on 2015/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/07\": {\"dining\": {\"eid\": \"e7590\", \"logical_representation\": [\"2015/05/07\", [\"Carter\"], \"Italian food\", \"Myeongdong Street Food Alley\"], \"text_template_based\": \"I ate Italian food at Myeongdong Street Food Alley with Carter on  2015/05/07 when I was in Seoul, South Korea.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Myeongdong Street Food Alley ?\", \"Carter\"], [\"who did I eat Italian food with?\", \"Carter\"], [\"where did we eat Italian food during our trip to Seoul, South Korea on  2015/05/07?\", \"Myeongdong Street Food Alley\"], [\"when did we eat Italian food at Myeongdong Street Food Alley during our trip to Seoul, South Korea?\", \"2015/05/07\"], [\"when did we eat at Myeongdong Street Food Alley?\", \"2015/05/07\"], [\"when did we eat Italian food?\", \"2015/05/07\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8182\", \"logical_representation\": [\"2015/05/07\", \"breakfast\", \"toast and cheese\", \"Hazel, Layla, Nevaeh, Piper, Olivia, Kinsley, Eva, Lydia, Piper, Nora, Claire\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8183\", \"logical_representation\": [\"2015/05/07\", \"dinner\", \"sushi\", \"Lydia, Eva, Rylee, Hazel, Claire, Piper, Layla, Kinsley, Piper, Avery, Nevaeh\"], \"text_template_based\": \"I had sushi for dinner with Lydia, Eva, Rylee, Hazel, Claire, Piper, Layla, Kinsley, Piper, Avery, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/05/07?\", \"Lydia, Eva, Rylee, Hazel, Claire, Piper, Layla, Kinsley, Piper, Avery, Nevaeh\"], [\"what did I eat for dinner on 2015/05/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8184\", \"logical_representation\": [\"2015/05/07\", \"Nora, Olivia, Avery\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Nora, Olivia, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Avery in the early evening on 2015/05/07?\", \"40 minutes\"], [\"who did I talk to on 2015/05/07?\", \"Nora, Olivia, Avery\"], [\"Did I talk to Nora, Olivia, Avery on 2015/05/07?\", \"yes\"], [\"Did I talk to anyone on 2015/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8185\", \"logical_representation\": [\"2015/05/07\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/05/07?\", \"9 minutes\"], [\"what did I read on 2015/05/07?\", \"social media\"], [\"Did I read on 2015/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8186\", \"logical_representation\": [\"2015/05/07\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/07?\", \"7 minutes\"], [\"what did I watch on tv on 2015/05/07?\", \"news\"], [\"Did I watch tv on 2015/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/08\": {\"dining\": {\"eid\": \"e7591\", \"logical_representation\": [\"2015/05/08\", [\"Carter\"], \"local food\", \"Seoul Bamdokkaebi Night Market\"], \"text_template_based\": \"I ate local food at Seoul Bamdokkaebi Night Market with Carter on  2015/05/08 when I was in Seoul, South Korea.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at Seoul Bamdokkaebi Night Market ?\", \"Carter\"], [\"who did I eat local food with?\", \"Carter\"], [\"where did we eat local food during our trip to Seoul, South Korea on  2015/05/08?\", \"Seoul Bamdokkaebi Night Market\"], [\"when did we eat local food at Seoul Bamdokkaebi Night Market during our trip to Seoul, South Korea?\", \"2015/05/08\"], [\"when did we eat at Seoul Bamdokkaebi Night Market?\", \"2015/05/08\"], [\"when did we eat local food?\", \"2015/05/08\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8187\", \"logical_representation\": [\"2015/05/08\", \"lunch\", \"sandwich\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/05/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8188\", \"logical_representation\": [\"2015/05/08\", \"dinner\", \"steak\", \"Kinsley, Nevaeh, Piper, Rylee, Olivia, Piper, Claire, Layla, Hazel, Lydia\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/05/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8189\", \"logical_representation\": [\"2015/05/08\", \"Rylee, Claire, Olivia\", \"late in the evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Rylee, Claire, Olivia for 27 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Olivia late in the evening on 2015/05/08?\", \"27 minutes\"], [\"who did I talk to on 2015/05/08?\", \"Rylee, Claire, Olivia\"], [\"Did I talk to Rylee, Claire, Olivia on 2015/05/08?\", \"yes\"], [\"Did I talk to anyone on 2015/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8190\", \"logical_representation\": [\"2015/05/08\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/08?\", \"45 minutes\"], [\"what did I watch on tv on 2015/05/08?\", \"a movie\"], [\"Did I watch tv on 2015/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/10\": {\"dining\": {\"eid\": \"e7592\", \"logical_representation\": [\"2015/05/10\", [\"Carter\"], \"Indian food\", \"Common Ground\"], \"text_template_based\": \"I ate Indian food at Common Ground with Carter on  2015/05/10 when I was in Seoul, South Korea.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Common Ground ?\", \"Carter\"], [\"who did I eat Indian food with?\", \"Carter\"], [\"where did we eat Indian food during our trip to Seoul, South Korea on  2015/05/10?\", \"Common Ground\"], [\"when did we eat Indian food at Common Ground during our trip to Seoul, South Korea?\", \"2015/05/10\"], [\"when did we eat at Common Ground?\", \"2015/05/10\"], [\"when did we eat Indian food?\", \"2015/05/10\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7651\", \"logical_representation\": [\"2015/05/10\", \"I bought some mangos, strawberries, milk, mango juice, apple juice, toothpaste, toothbrush, toilet paper from the grocery store. I saw Jackson, Benjamin at the grocery store.\", \"mangos, strawberries\", \"milk, mango juice, apple juice\", \"toothpaste, toothbrush, toilet paper\", \"Jackson, Benjamin\"], \"text_template_based\": \"I bought some mangos, strawberries, milk, mango juice, apple juice, toothpaste, toothbrush, toilet paper from the grocery store. I saw Jackson, Benjamin at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/05/10?\", \"mangos, strawberries, milk, mango juice, apple juice, and toothpaste, toothbrush, toilet paper\"], [\"what fruits did I buy from the grocery store on 2015/05/10?\", \"mangos, strawberries\"], [\"what drinks did I buy from the grocery store on 2015/05/10?\", \"milk, mango juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2015/05/10?\", \"toothpaste, toothbrush, toilet paper\"], [\"who did I see at the grocery store on 2015/05/10?\", \"Jackson, Benjamin\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8197\", \"logical_representation\": [\"2015/05/10\", \"breakfast\", \"toast and cheese\", \"Rylee, Layla, Olivia, Nora, Piper, Piper, Kinsley, Claire, Nevaeh\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8198\", \"logical_representation\": [\"2015/05/10\", \"lunch\", \"fish and chips\", \"Benjamin, Avery\"], \"text_template_based\": \"I had fish and chips for lunch with Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/05/10?\", \"Benjamin, Avery\"], [\"what did I eat for lunch on 2015/05/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8199\", \"logical_representation\": [\"2015/05/10\", \"Claire, Olivia, Piper\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Claire, Olivia, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Piper in the late afternoon on 2015/05/10?\", \"53 minutes\"], [\"who did I talk to on 2015/05/10?\", \"Claire, Olivia, Piper\"], [\"Did I talk to Claire, Olivia, Piper on 2015/05/10?\", \"yes\"], [\"Did I talk to anyone on 2015/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8200\", \"logical_representation\": [\"2015/05/10\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/05/10?\", \"10 minutes\"], [\"what did I read on 2015/05/10?\", \"social media\"], [\"Did I read on 2015/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/11\": {\"dining\": {\"eid\": \"e7593\", \"logical_representation\": [\"2015/05/11\", [\"Carter\"], \"Italian food\", \"Myeongdong Street Food Alley\"], \"text_template_based\": \"I ate Italian food at Myeongdong Street Food Alley with Carter on  2015/05/11 when I was in Seoul, South Korea.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Myeongdong Street Food Alley ?\", \"Carter\"], [\"who did I eat Italian food with?\", \"Carter\"], [\"where did we eat Italian food during our trip to Seoul, South Korea on  2015/05/11?\", \"Myeongdong Street Food Alley\"], [\"when did we eat Italian food at Myeongdong Street Food Alley during our trip to Seoul, South Korea?\", \"2015/05/11\"], [\"when did we eat at Myeongdong Street Food Alley?\", \"2015/05/11\"], [\"when did we eat Italian food?\", \"2015/05/11\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8201\", \"logical_representation\": [\"2015/05/11\", \"dinner\", \"sandwich\", \"Avery, Willow\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/05/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8202\", \"logical_representation\": [\"2015/05/11\", \"Eva, Rylee, Avery\", \"during lunch hours\", \"10 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee, Avery for 10 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Avery during lunch hours on 2015/05/11?\", \"10 minutes\"], [\"who did I talk to on 2015/05/11?\", \"Eva, Rylee, Avery\"], [\"Did I talk to Eva, Rylee, Avery on 2015/05/11?\", \"yes\"], [\"Did I talk to anyone on 2015/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8203\", \"logical_representation\": [\"2015/05/11\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/11?\", \"40 minutes\"], [\"what did I watch on tv on 2015/05/11?\", \"a tv series\"], [\"Did I watch tv on 2015/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/04\": {\"personal_medical_care\": {\"eid\": \"e7594\", \"logical_representation\": [\"2015/08/04\", \"I went for an annual physical checkup on 2015/08/04 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual physical checkup on 2015/08/04 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual physical checkup in 2015?\", \"2015/08/04\"], [\"where did I go for an annual physical checkup on 2015/08/04\", \"university hospital\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e7676\", \"logical_representation\": [\"2015/08/04\", \"I really enjoyed meditation on 2015/08/04\", \"meditation\", \"Andrew, Kayden\"], \"text_template_based\": \"I really enjoyed meditation on 2015/08/04\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2015/08/04\"], [\"On 2015/08/04, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8535\", \"logical_representation\": [\"2015/08/04\", \"breakfast\", \"pancakes\", \"Kayden, Emily\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8536\", \"logical_representation\": [\"2015/08/04\", \"lunch\", \"tacos\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8537\", \"logical_representation\": [\"2015/08/04\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/08/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8538\", \"logical_representation\": [\"2015/08/04\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/08/04?\", \"22 minutes\"], [\"what did I read on 2015/08/04?\", \"news\"], [\"Did I read on 2015/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8539\", \"logical_representation\": [\"2015/08/04\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/04?\", \"10 minutes\"], [\"what did I watch on tv on 2015/08/04?\", \"a tv series\"], [\"Did I watch tv on 2015/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/11\": {\"personal_medical_care\": {\"eid\": \"e7595\", \"logical_representation\": [\"2015/03/11\", \"I went for an annual vision checkup on 2015/03/11 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I went for an annual vision checkup on 2015/03/11 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual vision checkup in 2015?\", \"2015/03/11\"], [\"where did I go for an annual vision checkup on 2015/03/11\", \"private clinic\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7990\", \"logical_representation\": [\"2015/03/11\", \"breakfast\", \"toast and cheese\", \"Nora, Piper, Lydia, Claire, Olivia, Layla, Avery\"], \"text_template_based\": \"I had breakfast with Nora, Piper, Lydia, Claire, Olivia, Layla, Avery. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/03/11?\", \"Nora, Piper, Lydia, Claire, Olivia, Layla, Avery\"], [\"what did I eat for breakfast on 2015/03/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7991\", \"logical_representation\": [\"2015/03/11\", \"dinner\", \"sandwich\", \"Layla, Lydia, Kinsley\"], \"text_template_based\": \"I had sandwich for dinner with Layla, Lydia, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/03/11?\", \"Layla, Lydia, Kinsley\"], [\"what did I eat for dinner on 2015/03/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2015/05/12\": {\"parent_medical_care\": {\"eid\": \"e7596\", \"logical_representation\": [\"2015/05/12\", \"my parents for their and I went for an annual physical checkup at the private clinic on 2015/05/12.\", \"private clinic\"], \"text_template_based\": \"my parents for their and I went for an annual physical checkup at the private clinic on 2015/05/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2015?\", \"2015/05/12\"], [\"what did I do on 2015/05/12\", \"I took my parents for their for an  annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8204\", \"logical_representation\": [\"2015/05/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/05/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/05/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8205\", \"logical_representation\": [\"2015/05/12\", \"dinner\", \"tacos\", \"Avery, Rylee, Hazel, Layla, Piper, Lydia, Nora, Kinsley, Eva, Piper, Olivia, Nevaeh, Claire\"], \"text_template_based\": \"I had tacos for dinner with Avery, Rylee, Hazel, Layla, Piper, Lydia, Nora, Kinsley, Eva, Piper, Olivia, Nevaeh, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/05/12?\", \"Avery, Rylee, Hazel, Layla, Piper, Lydia, Nora, Kinsley, Eva, Piper, Olivia, Nevaeh, Claire\"], [\"what did I eat for dinner on 2015/05/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8206\", \"logical_representation\": [\"2015/05/12\", \"Nevaeh, Hazel, Piper, Nora\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Nevaeh, Hazel, Piper, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Piper, Nora in the late afternoon on 2015/05/12?\", \"41 minutes\"], [\"who did I talk to on 2015/05/12?\", \"Nevaeh, Hazel, Piper, Nora\"], [\"Did I talk to Nevaeh, Hazel, Piper, Nora on 2015/05/12?\", \"yes\"], [\"Did I talk to anyone on 2015/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8207\", \"logical_representation\": [\"2015/05/12\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/05/12?\", \"11 minutes\"], [\"what did I read on 2015/05/12?\", \"social media\"], [\"Did I read on 2015/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8208\", \"logical_representation\": [\"2015/05/12\", \"news\", \"53 minutes\"], \"text_template_based\": \"I watched news for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/12?\", \"53 minutes\"], [\"what did I watch on tv on 2015/05/12?\", \"news\"], [\"Did I watch tv on 2015/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/08\": {\"parent_medical_care\": {\"eid\": \"e7597\", \"logical_representation\": [\"2015/09/08\", \"my parents for their and I went for an annual dental cleaning and checkup at the university hospital on 2015/09/08.\", \"university hospital\"], \"text_template_based\": \"my parents for their and I went for an annual dental cleaning and checkup at the university hospital on 2015/09/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2015?\", \"2015/09/08\"], [\"what did I do on 2015/09/08\", \"I took my parents for their for an  annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8672\", \"logical_representation\": [\"2015/09/08\", \"biking\"], \"text_template_based\": \"I did biking on 2015/09/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/08?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8673\", \"logical_representation\": [\"2015/09/08\", \"dinner\", \"steak\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Carter, Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/09/08?\", \"Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2015/09/08\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2015/01/05\": {\"hobbies\": {\"eid\": \"e7598\", \"logical_representation\": [\"2015/01/05\", \"I really enjoyed yoga on 2015/01/05\", \"yoga\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I really enjoyed yoga on 2015/01/05\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2015/01/05\"], [\"On 2015/01/05, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7750\", \"logical_representation\": [\"2015/01/05\", \"dinner\", \"indian food\", \"Eva, Nora\"], \"text_template_based\": \"I had dinner with Eva, Nora. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/01/05?\", \"Eva, Nora\"], [\"what did I eat for dinner on 2015/01/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7751\", \"logical_representation\": [\"2015/01/05\", \"Eva\", \"in the morning\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the morning on 2015/01/05?\", \"36 minutes\"], [\"who did I talk to on 2015/01/05?\", \"Eva\"], [\"Did I talk to Eva on 2015/01/05?\", \"yes\"], [\"Did I talk to anyone on 2015/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7752\", \"logical_representation\": [\"2015/01/05\", \"Piper\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I talked to Piper for 28 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2015/01/05?\", \"28 minutes\"], [\"who did I talk to on 2015/01/05?\", \"Piper\"], [\"Did I talk to Piper on 2015/01/05?\", \"yes\"], [\"Did I talk to anyone on 2015/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7753\", \"logical_representation\": [\"2015/01/05\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/01/05?\", \"10 minutes\"], [\"what did I read on 2015/01/05?\", \"social media\"], [\"Did I read on 2015/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7754\", \"logical_representation\": [\"2015/01/05\", \"news\", \"47 minutes\"], \"text_template_based\": \"I watched news for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/05?\", \"47 minutes\"], [\"what did I watch on tv on 2015/01/05?\", \"news\"], [\"Did I watch tv on 2015/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/02\": {\"grocery\": {\"eid\": \"e7599\", \"logical_representation\": [\"2015/01/02\", \"I bought some apples, mandarins, sports drinks, toothbrush, paper towel, shampoo online.\", \"apples, mandarins\", \"sports drinks\", \"toothbrush, paper towel, shampoo\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I bought some apples, mandarins, sports drinks, toothbrush, paper towel, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/01/02?\", \"apples, mandarins, sports drinks, and toothbrush, paper towel, shampoo\"], [\"what fruits did I buy online on 2015/01/02?\", \"apples, mandarins\"], [\"what drinks did I buy online on 2015/01/02?\", \"sports drinks\"], [\"what toiletries did I buy online on 2015/01/02?\", \"toothbrush, paper towel, shampoo\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7734\", \"logical_representation\": [\"2015/01/02\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/01/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7735\", \"logical_representation\": [\"2015/01/02\", \"lunch\", \"pasta\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/01/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7736\", \"logical_representation\": [\"2015/01/02\", \"dinner\", \"pasta\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7737\", \"logical_representation\": [\"2015/01/02\", \"Claire, Rylee, Lydia\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Claire, Rylee, Lydia for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Lydia in the early afternoon on 2015/01/02?\", \"36 minutes\"], [\"who did I talk to on 2015/01/02?\", \"Claire, Rylee, Lydia\"], [\"Did I talk to Claire, Rylee, Lydia on 2015/01/02?\", \"yes\"], [\"Did I talk to anyone on 2015/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7738\", \"logical_representation\": [\"2015/01/02\", \"news\", \"40 minutes\"], \"text_template_based\": \"I watched news for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/02?\", \"40 minutes\"], [\"what did I watch on tv on 2015/01/02?\", \"news\"], [\"Did I watch tv on 2015/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/06\": {\"grocery\": {\"eid\": \"e7600\", \"logical_representation\": [\"2015/01/06\", \"I bought some strawberries, peaches, apples, watermelons, milk, facial wash, mouth wash, body lotion from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"strawberries, peaches, apples, watermelons\", \"milk\", \"facial wash, mouth wash, body lotion\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I bought some strawberries, peaches, apples, watermelons, milk, facial wash, mouth wash, body lotion from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/01/06?\", \"strawberries, peaches, apples, watermelons, milk, and facial wash, mouth wash, body lotion\"], [\"what fruits did I buy from the grocery store on 2015/01/06?\", \"strawberries, peaches, apples, watermelons\"], [\"what drinks did I buy from the grocery store on 2015/01/06?\", \"milk\"], [\"what toiletries did I buy from the grocery store on 2015/01/06?\", \"facial wash, mouth wash, body lotion\"], [\"who did I see at the grocery store on 2015/01/06?\", \"Emily, Kayden, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7755\", \"logical_representation\": [\"2015/01/06\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/01/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7756\", \"logical_representation\": [\"2015/01/06\", \"dinner\", \"pasta\", \"Nora, Avery, Olivia, Lydia, Rylee, Piper, Eva, Piper, Kinsley, Layla, Nevaeh, Claire\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7757\", \"logical_representation\": [\"2015/01/06\", \"Avery, Kinsley\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Avery, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley in the early evening on 2015/01/06?\", \"19 minutes\"], [\"who did I talk to on 2015/01/06?\", \"Avery, Kinsley\"], [\"Did I talk to Avery, Kinsley on 2015/01/06?\", \"yes\"], [\"Did I talk to anyone on 2015/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/08\": {\"dating\": {\"eid\": \"e7601\", \"logical_representation\": [\"2015/01/08\", \"Luca\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Luca on 2015/01/08 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/01/08\", \"Luca\"], [\"where did I go for the date on 2015/01/08\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7764\", \"logical_representation\": [\"2015/01/08\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I watched a tv series for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/08?\", \"26 minutes\"], [\"what did I watch on tv on 2015/01/08?\", \"a tv series\"], [\"Did I watch tv on 2015/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/09\": {\"grocery\": {\"eid\": \"e7602\", \"logical_representation\": [\"2015/01/09\", \"I went grocery shopping with Emily, Kayden, Andrew. I bought some apricots, nectarines, cherres, pineapples, soda, mango juice, milk, pineapple juice, and mouth wash\", \"apricots, nectarines, cherres, pineapples\", \"soda, mango juice, milk, pineapple juice\", \"mouth wash\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I went grocery shopping with Emily, Kayden, Andrew. I bought some apricots, nectarines, cherres, pineapples, soda, mango juice, milk, pineapple juice, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/01/09?\", \"apricots, nectarines, cherres, pineapples, soda, mango juice, milk, pineapple juice, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2015/01/09?\", \"apricots, nectarines, cherres, pineapples\"], [\"what drinks did I buy from the grocery store on 2015/01/09?\", \"soda, mango juice, milk, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2015/01/09?\", \"mouth wash\"], [\"who was with me at the grocery store on 2015/01/09?\", \"Emily, Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7765\", \"logical_representation\": [\"2015/01/09\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/01/09?\", \"Emily\"], [\"what did I eat for breakfast on 2015/01/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7766\", \"logical_representation\": [\"2015/01/09\", \"lunch\", \"fish and chips\", \"Rylee, Piper, Olivia, Lydia, Nevaeh, Hazel, Layla, Nora\"], \"text_template_based\": \"I had lunch with Rylee, Piper, Olivia, Lydia, Nevaeh, Hazel, Layla, Nora. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/01/09?\", \"Rylee, Piper, Olivia, Lydia, Nevaeh, Hazel, Layla, Nora\"], [\"what did I eat for lunch on 2015/01/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7767\", \"logical_representation\": [\"2015/01/09\", \"Kinsley, Layla, Rylee, Lydia\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla, Rylee, Lydia for 10 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Rylee, Lydia late in the evening on 2015/01/09?\", \"10 minutes\"], [\"who did I talk to on 2015/01/09?\", \"Kinsley, Layla, Rylee, Lydia\"], [\"Did I talk to Kinsley, Layla, Rylee, Lydia on 2015/01/09?\", \"yes\"], [\"Did I talk to anyone on 2015/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7768\", \"logical_representation\": [\"2015/01/09\", \"Lydia\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I talked to Lydia for 17 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia during lunch hours on 2015/01/09?\", \"17 minutes\"], [\"who did I talk to on 2015/01/09?\", \"Lydia\"], [\"Did I talk to Lydia on 2015/01/09?\", \"yes\"], [\"Did I talk to anyone on 2015/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7769\", \"logical_representation\": [\"2015/01/09\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/01/09?\", \"20 minutes\"], [\"what did I read on 2015/01/09?\", \"social media\"], [\"Did I read on 2015/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7770\", \"logical_representation\": [\"2015/01/09\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/09?\", \"22 minutes\"], [\"what did I watch on tv on 2015/01/09?\", \"news\"], [\"Did I watch tv on 2015/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/12\": {\"grocery\": {\"eid\": \"e7603\", \"logical_representation\": [\"2015/01/12\", \"I went grocery shopping. I bought some pineapples, watermelons, clementines, mango juice, apple juice, and facial wash\", \"pineapples, watermelons, clementines\", \"mango juice, apple juice\", \"facial wash\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some pineapples, watermelons, clementines, mango juice, apple juice, and facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/01/12?\", \"pineapples, watermelons, clementines, mango juice, apple juice, and facial wash\"], [\"what fruits did I buy from the grocery store on 2015/01/12?\", \"pineapples, watermelons, clementines\"], [\"what drinks did I buy from the grocery store on 2015/01/12?\", \"mango juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2015/01/12?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7780\", \"logical_representation\": [\"2015/01/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/01/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7781\", \"logical_representation\": [\"2015/01/12\", \"lunch\", \"tacos\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/01/12?\", \"Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2015/01/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7782\", \"logical_representation\": [\"2015/01/12\", \"Avery\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early afternoon on 2015/01/12?\", \"37 minutes\"], [\"who did I talk to on 2015/01/12?\", \"Avery\"], [\"Did I talk to Avery on 2015/01/12?\", \"yes\"], [\"Did I talk to anyone on 2015/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7783\", \"logical_representation\": [\"2015/01/12\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/01/12?\", \"55 minutes\"], [\"what did I read on 2015/01/12?\", \"news\"], [\"Did I read on 2015/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7784\", \"logical_representation\": [\"2015/01/12\", \"a documentary\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/12?\", \"12 minutes\"], [\"what did I watch on tv on 2015/01/12?\", \"a documentary\"], [\"Did I watch tv on 2015/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/15\": {\"dating\": {\"eid\": \"e7604\", \"logical_representation\": [\"2015/01/15\", \"Joshua\", \"a park\"], \"text_template_based\": \"I went on a date with Joshua on 2015/01/15 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/01/15\", \"Joshua\"], [\"where did I go for the date on 2015/01/15\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7793\", \"logical_representation\": [\"2015/01/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/01/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7794\", \"logical_representation\": [\"2015/01/15\", \"Claire, Layla, Piper\", \"in the early evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Claire, Layla, Piper for 13 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Piper in the early evening on 2015/01/15?\", \"13 minutes\"], [\"who did I talk to on 2015/01/15?\", \"Claire, Layla, Piper\"], [\"Did I talk to Claire, Layla, Piper on 2015/01/15?\", \"yes\"], [\"Did I talk to anyone on 2015/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/16\": {\"grocery\": {\"eid\": \"e7605\", \"logical_representation\": [\"2015/01/16\", \"I bought some mandarins, chocolate milk, milk, mineral water, mango juice, body lotion, facial wash, shaving cream, conditioner online.\", \"mandarins\", \"chocolate milk, milk, mineral water, mango juice\", \"body lotion, facial wash, shaving cream, conditioner\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I bought some mandarins, chocolate milk, milk, mineral water, mango juice, body lotion, facial wash, shaving cream, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/01/16?\", \"mandarins, chocolate milk, milk, mineral water, mango juice, and body lotion, facial wash, shaving cream, conditioner\"], [\"what fruits did I buy online on 2015/01/16?\", \"mandarins\"], [\"what drinks did I buy online on 2015/01/16?\", \"chocolate milk, milk, mineral water, mango juice\"], [\"what toiletries did I buy online on 2015/01/16?\", \"body lotion, facial wash, shaving cream, conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7795\", \"logical_representation\": [\"2015/01/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/01/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7796\", \"logical_representation\": [\"2015/01/16\", \"breakfast\", \"oatmeal\", \"Nora, Eva, Olivia, Rylee, Nevaeh, Hazel, Kinsley, Avery\"], \"text_template_based\": \"I had oatmeal for breakfast with Nora, Eva, Olivia, Rylee, Nevaeh, Hazel, Kinsley, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/01/16?\", \"Nora, Eva, Olivia, Rylee, Nevaeh, Hazel, Kinsley, Avery\"], [\"what did I eat for breakfast on 2015/01/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7797\", \"logical_representation\": [\"2015/01/16\", \"dinner\", \"indian food\", \"Avery, Olivia\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7798\", \"logical_representation\": [\"2015/01/16\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/01/16?\", \"50 minutes\"], [\"what did I read on 2015/01/16?\", \"social media\"], [\"Did I read on 2015/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/20\": {\"grocery\": {\"eid\": \"e7606\", \"logical_representation\": [\"2015/01/20\", \"I bought some apricots, chocolate milk, mineral water, body lotion, toothbrush, shaving cream from the grocery store. I saw Andrew, Emily at the grocery store.\", \"apricots\", \"chocolate milk, mineral water\", \"body lotion, toothbrush, shaving cream\", \"Andrew, Emily\"], \"text_template_based\": \"I bought some apricots, chocolate milk, mineral water, body lotion, toothbrush, shaving cream from the grocery store. I saw Andrew, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/01/20?\", \"apricots, chocolate milk, mineral water, and body lotion, toothbrush, shaving cream\"], [\"what fruits did I buy from the grocery store on 2015/01/20?\", \"apricots\"], [\"what drinks did I buy from the grocery store on 2015/01/20?\", \"chocolate milk, mineral water\"], [\"what toiletries did I buy from the grocery store on 2015/01/20?\", \"body lotion, toothbrush, shaving cream\"], [\"who did I see at the grocery store on 2015/01/20?\", \"Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7808\", \"logical_representation\": [\"2015/01/20\", \"lunch\", \"sandwich\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Kayden, Emily, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/01/20?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for lunch on 2015/01/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7809\", \"logical_representation\": [\"2015/01/20\", \"dinner\", \"a burger\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Andrew. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/01/20?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2015/01/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7810\", \"logical_representation\": [\"2015/01/20\", \"Nora, Piper\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Nora, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper during lunch hours on 2015/01/20?\", \"11 minutes\"], [\"who did I talk to on 2015/01/20?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2015/01/20?\", \"yes\"], [\"Did I talk to anyone on 2015/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/28\": {\"dating\": {\"eid\": \"e7607\", \"logical_representation\": [\"2015/01/28\", \"Chloe\", \"a coffee Shop\"], \"text_template_based\": \"On 2015/01/28, I took Chloe on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/01/28\", \"Chloe\"], [\"where did I go for the date on 2015/01/28\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7839\", \"logical_representation\": [\"2015/01/28\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/01/28\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7840\", \"logical_representation\": [\"2015/01/28\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/01/28?\", \"Andrew\"], [\"what did I eat for dinner on 2015/01/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7841\", \"logical_representation\": [\"2015/01/28\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/01/28?\", \"43 minutes\"], [\"what did I read on 2015/01/28?\", \"news\"], [\"Did I read on 2015/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7842\", \"logical_representation\": [\"2015/01/28\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/28?\", \"7 minutes\"], [\"what did I watch on tv on 2015/01/28?\", \"news\"], [\"Did I watch tv on 2015/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/26\": {\"hobbies\": {\"eid\": \"e7608\", \"logical_representation\": [\"2015/01/26\", \"I spent some time working out on 2015/01/26.\", \"working out\", \"Nora\"], \"text_template_based\": \"I spent some time working out on 2015/01/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2015/01/26\"], [\"On 2015/01/26, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7829\", \"logical_representation\": [\"2015/01/26\", \"breakfast\", \"toast and cheese\", \"Avery\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/01/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7830\", \"logical_representation\": [\"2015/01/26\", \"lunch\", \"sandwich\", \"Nora, Olivia, Lydia, Piper, Hazel, Nevaeh, Layla, Rylee, Kinsley, Avery, Eva, Claire, Piper\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/01/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7831\", \"logical_representation\": [\"2015/01/26\", \"dinner\", \"a burger\", \"Avery, Layla, Claire, Rylee, Eva, Kinsley, Nora\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7832\", \"logical_representation\": [\"2015/01/26\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/01/26?\", \"45 minutes\"], [\"what did I read on 2015/01/26?\", \"social media\"], [\"Did I read on 2015/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/03\": {\"cook\": {\"eid\": \"e7609\", \"logical_representation\": [\"2015/02/03\", \"I really enjoyed cooking indian red lentil, scallion pancake on 2015/02/03 with Emily, Kayden at my place\", \"cook\", \"indian red lentil, scallion pancake\", \"Emily, Kayden\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking indian red lentil, scallion pancake on 2015/02/03 with Emily, Kayden at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  indian red lentil, scallion pancake with Emily, Kayden?\", \"2015/02/03\"], [\"what did I  on 2015/02/03?\", \"indian red lentil, scallion pancake\"], [\"who was I with when I  indian red lentil, scallion pancake on 2015/02/03?\", \"Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7861\", \"logical_representation\": [\"2015/02/03\", \"running\"], \"text_template_based\": \"I did running on 2015/02/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7862\", \"logical_representation\": [\"2015/02/03\", \"lunch\", \"a burger\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7863\", \"logical_representation\": [\"2015/02/03\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/02/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7864\", \"logical_representation\": [\"2015/02/03\", \"Claire, Piper\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Claire, Piper for 32 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper in the early evening on 2015/02/03?\", \"32 minutes\"], [\"who did I talk to on 2015/02/03?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2015/02/03?\", \"yes\"], [\"Did I talk to anyone on 2015/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7865\", \"logical_representation\": [\"2015/02/03\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/02/03?\", \"33 minutes\"], [\"what did I read on 2015/02/03?\", \"a book\"], [\"Did I read on 2015/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7866\", \"logical_representation\": [\"2015/02/03\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I watched a movie for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/03?\", \"19 minutes\"], [\"what did I watch on tv on 2015/02/03?\", \"a movie\"], [\"Did I watch tv on 2015/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/01\": {\"bake\": {\"eid\": \"e7610\", \"logical_representation\": [\"2015/02/01\", \"I really enjoyed baking carrot cake, peanut butter cookies on 2015/02/01 with Emily, Carter at my place\", \"bake\", \"carrot cake, peanut butter cookies\", \"Emily, Carter\", \"my place\"], \"text_template_based\": \"I really enjoyed baking carrot cake, peanut butter cookies on 2015/02/01 with Emily, Carter at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  carrot cake, peanut butter cookies with Emily, Carter?\", \"2015/02/01\"], [\"what did I  on 2015/02/01?\", \"carrot cake, peanut butter cookies\"], [\"who was I with when I  carrot cake, peanut butter cookies on 2015/02/01?\", \"Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7854\", \"logical_representation\": [\"2015/02/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/02/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7855\", \"logical_representation\": [\"2015/02/01\", \"lunch\", \"pasta\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7856\", \"logical_representation\": [\"2015/02/01\", \"Hazel, Layla, Claire\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Hazel, Layla, Claire for 29 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla, Claire in the early afternoon on 2015/02/01?\", \"29 minutes\"], [\"who did I talk to on 2015/02/01?\", \"Hazel, Layla, Claire\"], [\"Did I talk to Hazel, Layla, Claire on 2015/02/01?\", \"yes\"], [\"Did I talk to anyone on 2015/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7857\", \"logical_representation\": [\"2015/02/01\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/02/01?\", \"19 minutes\"], [\"what did I read on 2015/02/01?\", \"a book\"], [\"Did I read on 2015/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7858\", \"logical_representation\": [\"2015/02/01\", \"a tv series\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/01?\", \"52 minutes\"], [\"what did I watch on tv on 2015/02/01?\", \"a tv series\"], [\"Did I watch tv on 2015/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/30\": {\"grocery\": {\"eid\": \"e7611\", \"logical_representation\": [\"2015/01/30\", \"I bought some cherres, nectarines, watermelons, coffee, apple juice, soda, toothpaste, shampoo, conditioner online.\", \"cherres, nectarines, watermelons\", \"coffee, apple juice, soda\", \"toothpaste, shampoo, conditioner\", \"Emily\"], \"text_template_based\": \"I bought some cherres, nectarines, watermelons, coffee, apple juice, soda, toothpaste, shampoo, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/01/30?\", \"cherres, nectarines, watermelons, coffee, apple juice, soda, and toothpaste, shampoo, conditioner\"], [\"what fruits did I buy online on 2015/01/30?\", \"cherres, nectarines, watermelons\"], [\"what drinks did I buy online on 2015/01/30?\", \"coffee, apple juice, soda\"], [\"what toiletries did I buy online on 2015/01/30?\", \"toothpaste, shampoo, conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7848\", \"logical_representation\": [\"2015/01/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/01/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7849\", \"logical_representation\": [\"2015/01/30\", \"breakfast\", \"cereals\", \"Avery\"], \"text_template_based\": \"I had breakfast with Avery. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/01/30?\", \"Avery\"], [\"what did I eat for breakfast on 2015/01/30\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7850\", \"logical_representation\": [\"2015/01/30\", \"dinner\", \"tacos\", \"Avery, Jackson\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/30\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7851\", \"logical_representation\": [\"2015/01/30\", \"Eva\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Eva for 29 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the late afternoon on 2015/01/30?\", \"29 minutes\"], [\"who did I talk to on 2015/01/30?\", \"Eva\"], [\"Did I talk to Eva on 2015/01/30?\", \"yes\"], [\"Did I talk to anyone on 2015/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/02\": {\"grocery\": {\"eid\": \"e7612\", \"logical_representation\": [\"2015/02/02\", \"I went grocery shopping. I bought some pineapples, blueberries, coffee, chocolate milk, soda, orange juice, and shaving cream, mouth wash, toothpaste\", \"pineapples, blueberries\", \"coffee, chocolate milk, soda, orange juice\", \"shaving cream, mouth wash, toothpaste\", \"Hazel\"], \"text_template_based\": \"I went grocery shopping. I bought some pineapples, blueberries, coffee, chocolate milk, soda, orange juice, and shaving cream, mouth wash, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/02/02?\", \"pineapples, blueberries, coffee, chocolate milk, soda, orange juice, and shaving cream, mouth wash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2015/02/02?\", \"pineapples, blueberries\"], [\"what drinks did I buy from the grocery store on 2015/02/02?\", \"coffee, chocolate milk, soda, orange juice\"], [\"what toiletries did I buy from the grocery store on 2015/02/02?\", \"shaving cream, mouth wash, toothpaste\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7859\", \"logical_representation\": [\"2015/02/02\", \"lunch\", \"a burger\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7860\", \"logical_representation\": [\"2015/02/02\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/02/02?\", \"22 minutes\"], [\"what did I read on 2015/02/02?\", \"news\"], [\"Did I read on 2015/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/08\": {\"dating\": {\"eid\": \"e7613\", \"logical_representation\": [\"2015/02/08\", \"Emily\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Emily on 2015/02/08 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/02/08\", \"Emily\"], [\"where did I go for the date on 2015/02/08\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7880\", \"logical_representation\": [\"2015/02/08\", \"running\"], \"text_template_based\": \"I did running on 2015/02/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7881\", \"logical_representation\": [\"2015/02/08\", \"breakfast\", \"pancakes\", \"Rylee, Layla, Piper, Eva\"], \"text_template_based\": \"I had breakfast with Rylee, Layla, Piper, Eva. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/02/08?\", \"Rylee, Layla, Piper, Eva\"], [\"what did I eat for breakfast on 2015/02/08\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7882\", \"logical_representation\": [\"2015/02/08\", \"dinner\", \"pasta\", \"Willow, Jackson\"], \"text_template_based\": \"I had pasta for dinner with Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/02/08?\", \"Willow, Jackson\"], [\"what did I eat for dinner on 2015/02/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7883\", \"logical_representation\": [\"2015/02/08\", \"Avery, Claire\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Avery, Claire for 38 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire in the early afternoon on 2015/02/08?\", \"38 minutes\"], [\"who did I talk to on 2015/02/08?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2015/02/08?\", \"yes\"], [\"Did I talk to anyone on 2015/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7884\", \"logical_representation\": [\"2015/02/08\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/08?\", \"33 minutes\"], [\"what did I watch on tv on 2015/02/08?\", \"a tv series\"], [\"Did I watch tv on 2015/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/16\": {\"bake\": {\"eid\": \"e7614\", \"logical_representation\": [\"2015/02/16\", \"I entertained Emily, Carter at my place on 2015/02/16 and bake cranberry apple danish, blackberry jam pie-crust straws, chocolate-chip mug brownie\", \"bake\", \"cranberry apple danish, blackberry jam pie-crust straws, chocolate-chip mug brownie\", \"Emily, Carter\", \"my place\"], \"text_template_based\": \"I entertained Emily, Carter at my place on 2015/02/16 and bake cranberry apple danish, blackberry jam pie-crust straws, chocolate-chip mug brownie\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake cranberry apple danish, blackberry jam pie-crust straws, chocolate-chip mug brownie with Emily, Carter?\", \"2015/02/16\"], [\"what did I bake on 2015/02/16?\", \"cranberry apple danish, blackberry jam pie-crust straws, chocolate-chip mug brownie\"], [\"who was I with when I  cranberry apple danish, blackberry jam pie-crust straws, chocolate-chip mug brownie on 2015/02/16?\", \"Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7905\", \"logical_representation\": [\"2015/02/16\", \"breakfast\", \"oatmeal\", \"Layla, Avery, Piper, Rylee, Olivia, Hazel, Kinsley, Claire, Lydia, Eva\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/02/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7906\", \"logical_representation\": [\"2015/02/16\", \"Claire, Avery, Lydia, Hazel\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Claire, Avery, Lydia, Hazel for 41 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Lydia, Hazel late in the evening on 2015/02/16?\", \"41 minutes\"], [\"who did I talk to on 2015/02/16?\", \"Claire, Avery, Lydia, Hazel\"], [\"Did I talk to Claire, Avery, Lydia, Hazel on 2015/02/16?\", \"yes\"], [\"Did I talk to anyone on 2015/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7907\", \"logical_representation\": [\"2015/02/16\", \"Olivia\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2015/02/16?\", \"20 minutes\"], [\"who did I talk to on 2015/02/16?\", \"Olivia\"], [\"Did I talk to Olivia on 2015/02/16?\", \"yes\"], [\"Did I talk to anyone on 2015/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7908\", \"logical_representation\": [\"2015/02/16\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/02/16?\", \"12 minutes\"], [\"what did I read on 2015/02/16?\", \"a book\"], [\"Did I read on 2015/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7909\", \"logical_representation\": [\"2015/02/16\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/16?\", \"41 minutes\"], [\"what did I watch on tv on 2015/02/16?\", \"a movie\"], [\"Did I watch tv on 2015/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/14\": {\"dating\": {\"eid\": \"e7615\", \"logical_representation\": [\"2015/02/14\", \"Maverick\", \"a park\"], \"text_template_based\": \"I went on a date with Maverick on 2015/02/14 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/02/14\", \"Maverick\"], [\"where did I go for the date on 2015/02/14\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7899\", \"logical_representation\": [\"2015/02/14\", \"breakfast\", \"oatmeal\", \"Kinsley, Eva, Piper, Nevaeh, Hazel, Claire, Avery\"], \"text_template_based\": \"I had oatmeal for breakfast with Kinsley, Eva, Piper, Nevaeh, Hazel, Claire, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/02/14?\", \"Kinsley, Eva, Piper, Nevaeh, Hazel, Claire, Avery\"], [\"what did I eat for breakfast on 2015/02/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7900\", \"logical_representation\": [\"2015/02/14\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/02/14?\", \"31 minutes\"], [\"what did I read on 2015/02/14?\", \"social media\"], [\"Did I read on 2015/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7901\", \"logical_representation\": [\"2015/02/14\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/14?\", \"25 minutes\"], [\"what did I watch on tv on 2015/02/14?\", \"a movie\"], [\"Did I watch tv on 2015/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/15\": {\"dating\": {\"eid\": \"e7616\", \"logical_representation\": [\"2015/02/15\", \"Levi\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Levi on 2015/02/15 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/02/15\", \"Levi\"], [\"where did I go for the date on 2015/02/15\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e7617\", \"logical_representation\": [\"2015/02/15\", \"I spent some time gardening on 2015/02/15.\", \"gardening\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I spent some time gardening on 2015/02/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2015/02/15\"], [\"On 2015/02/15, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7618\", \"logical_representation\": [\"2015/02/15\", \"I bought some nectarines, watermelons, blueberries, guava juice, apple juice, toilet paper, mouthwash online.\", \"nectarines, watermelons, blueberries\", \"guava juice, apple juice\", \"toilet paper, mouthwash\", \"Olivia, Nevaeh, Piper, Nora, Lydia, Eva, Hazel\"], \"text_template_based\": \"I bought some nectarines, watermelons, blueberries, guava juice, apple juice, toilet paper, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/02/15?\", \"nectarines, watermelons, blueberries, guava juice, apple juice, and toilet paper, mouthwash\"], [\"what fruits did I buy online on 2015/02/15?\", \"nectarines, watermelons, blueberries\"], [\"what drinks did I buy online on 2015/02/15?\", \"guava juice, apple juice\"], [\"what toiletries did I buy online on 2015/02/15?\", \"toilet paper, mouthwash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7902\", \"logical_representation\": [\"2015/02/15\", \"Kinsley\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I talked to Kinsley for 51 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2015/02/15?\", \"51 minutes\"], [\"who did I talk to on 2015/02/15?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2015/02/15?\", \"yes\"], [\"Did I talk to anyone on 2015/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7903\", \"logical_representation\": [\"2015/02/15\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/02/15?\", \"38 minutes\"], [\"what did I read on 2015/02/15?\", \"social media\"], [\"Did I read on 2015/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7904\", \"logical_representation\": [\"2015/02/15\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/15?\", \"25 minutes\"], [\"what did I watch on tv on 2015/02/15?\", \"a movie\"], [\"Did I watch tv on 2015/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/22\": {\"bake\": {\"eid\": \"e7619\", \"logical_representation\": [\"2015/02/22\", \"I really enjoyed baking chocolate chip cookie in a mug, giant cinnamon roll on 2015/02/22 with Piper at my place\", \"bake\", \"chocolate chip cookie in a mug, giant cinnamon roll\", \"Piper\", \"my place\"], \"text_template_based\": \"I really enjoyed baking chocolate chip cookie in a mug, giant cinnamon roll on 2015/02/22 with Piper at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  chocolate chip cookie in a mug, giant cinnamon roll with Piper?\", \"2015/02/22\"], [\"what did I  on 2015/02/22?\", \"chocolate chip cookie in a mug, giant cinnamon roll\"], [\"who was I with when I  chocolate chip cookie in a mug, giant cinnamon roll on 2015/02/22?\", \"Piper\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7622\", \"logical_representation\": [\"2015/02/22\", \"I went grocery shopping with Avery, Rylee, Piper. I bought some apples, guava, watermelons, pears, guava juice, pineapple juice, mineral water, sports drinks, and mouthwash, paper towel\", \"apples, guava, watermelons, pears\", \"guava juice, pineapple juice, mineral water, sports drinks\", \"mouthwash, paper towel\", \"Avery, Rylee, Piper\"], \"text_template_based\": \"I went grocery shopping with Avery, Rylee, Piper. I bought some apples, guava, watermelons, pears, guava juice, pineapple juice, mineral water, sports drinks, and mouthwash, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/02/22?\", \"apples, guava, watermelons, pears, guava juice, pineapple juice, mineral water, sports drinks, and mouthwash, paper towel\"], [\"what fruits did I buy from the grocery store on 2015/02/22?\", \"apples, guava, watermelons, pears\"], [\"what drinks did I buy from the grocery store on 2015/02/22?\", \"guava juice, pineapple juice, mineral water, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2015/02/22?\", \"mouthwash, paper towel\"], [\"who was with me at the grocery store on 2015/02/22?\", \"Avery, Rylee, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7928\", \"logical_representation\": [\"2015/02/22\", \"biking\"], \"text_template_based\": \"I did biking on 2015/02/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/22?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2015/02/25\": {\"hobbies\": {\"eid\": \"e7620\", \"logical_representation\": [\"2015/02/25\", \"I really enjoyed meditation on 2015/02/25\", \"meditation\", \"Piper\"], \"text_template_based\": \"I really enjoyed meditation on 2015/02/25\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2015/02/25\"], [\"On 2015/02/25, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7938\", \"logical_representation\": [\"2015/02/25\", \"running\"], \"text_template_based\": \"I did running on 2015/02/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7939\", \"logical_representation\": [\"2015/02/25\", \"Rylee, Hazel, Piper, Eva\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Rylee, Hazel, Piper, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel, Piper, Eva in the early evening on 2015/02/25?\", \"29 minutes\"], [\"who did I talk to on 2015/02/25?\", \"Rylee, Hazel, Piper, Eva\"], [\"Did I talk to Rylee, Hazel, Piper, Eva on 2015/02/25?\", \"yes\"], [\"Did I talk to anyone on 2015/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7940\", \"logical_representation\": [\"2015/02/25\", \"Avery, Piper, Claire\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Claire for 20 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Claire during lunch hours on 2015/02/25?\", \"20 minutes\"], [\"who did I talk to on 2015/02/25?\", \"Avery, Piper, Claire\"], [\"Did I talk to Avery, Piper, Claire on 2015/02/25?\", \"yes\"], [\"Did I talk to anyone on 2015/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7941\", \"logical_representation\": [\"2015/02/25\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/02/25?\", \"43 minutes\"], [\"what did I read on 2015/02/25?\", \"news\"], [\"Did I read on 2015/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/21\": {\"grocery\": {\"eid\": \"e7621\", \"logical_representation\": [\"2015/02/21\", \"I went grocery shopping. I bought some mandarins, blueberries, chocolate milk, and facial wash, toilet paper, shaving cream\", \"mandarins, blueberries\", \"chocolate milk\", \"facial wash, toilet paper, shaving cream\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, blueberries, chocolate milk, and facial wash, toilet paper, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/02/21?\", \"mandarins, blueberries, chocolate milk, and facial wash, toilet paper, shaving cream\"], [\"what fruits did I buy from the grocery store on 2015/02/21?\", \"mandarins, blueberries\"], [\"what drinks did I buy from the grocery store on 2015/02/21?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2015/02/21?\", \"facial wash, toilet paper, shaving cream\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7924\", \"logical_representation\": [\"2015/02/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/02/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7925\", \"logical_representation\": [\"2015/02/21\", \"dinner\", \"sushi\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/02/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7926\", \"logical_representation\": [\"2015/02/21\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/02/21?\", \"24 minutes\"], [\"what did I read on 2015/02/21?\", \"social media\"], [\"Did I read on 2015/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7927\", \"logical_representation\": [\"2015/02/21\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I watched a tv series for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/21?\", \"37 minutes\"], [\"what did I watch on tv on 2015/02/21?\", \"a tv series\"], [\"Did I watch tv on 2015/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/26\": {\"dating\": {\"eid\": \"e7623\", \"logical_representation\": [\"2015/02/26\", \"Axel\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Axel on 2015/02/26 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/02/26\", \"Axel\"], [\"where did I go for the date on 2015/02/26\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7942\", \"logical_representation\": [\"2015/02/26\", \"dinner\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/02/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7943\", \"logical_representation\": [\"2015/02/26\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/02/26?\", \"10 minutes\"], [\"what did I read on 2015/02/26?\", \"social media\"], [\"Did I read on 2015/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7944\", \"logical_representation\": [\"2015/02/26\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/26?\", \"25 minutes\"], [\"what did I watch on tv on 2015/02/26?\", \"news\"], [\"Did I watch tv on 2015/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/01\": {\"hobbies\": {\"eid\": \"e7624\", \"logical_representation\": [\"2015/03/01\", \"I spent some time yoga on 2015/03/01.\", \"yoga\", \"Olivia, Piper, Rylee\"], \"text_template_based\": \"I spent some time yoga on 2015/03/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2015/03/01\"], [\"On 2015/03/01, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7955\", \"logical_representation\": [\"2015/03/01\", \"running\"], \"text_template_based\": \"I did running on 2015/03/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7956\", \"logical_representation\": [\"2015/03/01\", \"breakfast\", \"oatmeal\", \"Avery, Nevaeh, Hazel, Nora, Piper, Kinsley\"], \"text_template_based\": \"I had breakfast with Avery, Nevaeh, Hazel, Nora, Piper, Kinsley. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/03/01?\", \"Avery, Nevaeh, Hazel, Nora, Piper, Kinsley\"], [\"what did I eat for breakfast on 2015/03/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7957\", \"logical_representation\": [\"2015/03/01\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had tacos for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/03/01?\", \"Kayden\"], [\"what did I eat for dinner on 2015/03/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7958\", \"logical_representation\": [\"2015/03/01\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/03/01?\", \"13 minutes\"], [\"what did I read on 2015/03/01?\", \"a book\"], [\"Did I read on 2015/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/28\": {\"grocery\": {\"eid\": \"e7625\", \"logical_representation\": [\"2015/02/28\", \"I bought some blackberries, bananas, cherres, mango juice, sports drinks, tea, soda, facial wash, mouthwash, toothpaste online.\", \"blackberries, bananas, cherres\", \"mango juice, sports drinks, tea, soda\", \"facial wash, mouthwash, toothpaste\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I bought some blackberries, bananas, cherres, mango juice, sports drinks, tea, soda, facial wash, mouthwash, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/02/28?\", \"blackberries, bananas, cherres, mango juice, sports drinks, tea, soda, and facial wash, mouthwash, toothpaste\"], [\"what fruits did I buy online on 2015/02/28?\", \"blackberries, bananas, cherres\"], [\"what drinks did I buy online on 2015/02/28?\", \"mango juice, sports drinks, tea, soda\"], [\"what toiletries did I buy online on 2015/02/28?\", \"facial wash, mouthwash, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7949\", \"logical_representation\": [\"2015/02/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/02/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7950\", \"logical_representation\": [\"2015/02/28\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/02/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7951\", \"logical_representation\": [\"2015/02/28\", \"dinner\", \"chinese food\", \"Rylee\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/02/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7952\", \"logical_representation\": [\"2015/02/28\", \"Hazel, Piper\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Hazel, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper late in the evening on 2015/02/28?\", \"49 minutes\"], [\"who did I talk to on 2015/02/28?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2015/02/28?\", \"yes\"], [\"Did I talk to anyone on 2015/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7953\", \"logical_representation\": [\"2015/02/28\", \"Nevaeh, Piper, Claire\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Claire for 49 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Claire during lunch hours on 2015/02/28?\", \"49 minutes\"], [\"who did I talk to on 2015/02/28?\", \"Nevaeh, Piper, Claire\"], [\"Did I talk to Nevaeh, Piper, Claire on 2015/02/28?\", \"yes\"], [\"Did I talk to anyone on 2015/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7954\", \"logical_representation\": [\"2015/02/28\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/02/28?\", \"54 minutes\"], [\"what did I read on 2015/02/28?\", \"a book\"], [\"Did I read on 2015/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/03\": {\"grocery\": {\"eid\": \"e7626\", \"logical_representation\": [\"2015/03/03\", \"I bought some pineapples, nectarines, mandarins, mineral water, apple juice, mango juice, shaving cream, mouthwash from the grocery store. I saw Andrew, Kayden, Carter, Emily at the grocery store.\", \"pineapples, nectarines, mandarins\", \"mineral water, apple juice, mango juice\", \"shaving cream, mouthwash\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I bought some pineapples, nectarines, mandarins, mineral water, apple juice, mango juice, shaving cream, mouthwash from the grocery store. I saw Andrew, Kayden, Carter, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/03/03?\", \"pineapples, nectarines, mandarins, mineral water, apple juice, mango juice, and shaving cream, mouthwash\"], [\"what fruits did I buy from the grocery store on 2015/03/03?\", \"pineapples, nectarines, mandarins\"], [\"what drinks did I buy from the grocery store on 2015/03/03?\", \"mineral water, apple juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2015/03/03?\", \"shaving cream, mouthwash\"], [\"who did I see at the grocery store on 2015/03/03?\", \"Andrew, Kayden, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7963\", \"logical_representation\": [\"2015/03/03\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Layla, Rylee, Olivia, Nevaeh, Piper\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/03/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7964\", \"logical_representation\": [\"2015/03/03\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/03/03?\", \"53 minutes\"], [\"what did I read on 2015/03/03?\", \"social media\"], [\"Did I read on 2015/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/08\": {\"dating\": {\"eid\": \"e7627\", \"logical_representation\": [\"2015/03/08\", \"Ella\", \"a park\"], \"text_template_based\": \"I went on a date with Ella on 2015/03/08 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/03/08\", \"Ella\"], [\"where did I go for the date on 2015/03/08\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e7628\", \"logical_representation\": [\"2015/03/08\", \"I spent some time gardening on 2015/03/08.\", \"gardening\", \"Lydia, Hazel, Kinsley\"], \"text_template_based\": \"I spent some time gardening on 2015/03/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2015/03/08\"], [\"On 2015/03/08, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7981\", \"logical_representation\": [\"2015/03/08\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/03/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7982\", \"logical_representation\": [\"2015/03/08\", \"lunch\", \"sushi\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Andrew, Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/03/08?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2015/03/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7983\", \"logical_representation\": [\"2015/03/08\", \"dinner\", \"chinese food\", \"Hazel, Eva, Layla\"], \"text_template_based\": \"I had dinner with Hazel, Eva, Layla. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/03/08?\", \"Hazel, Eva, Layla\"], [\"what did I eat for dinner on 2015/03/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7984\", \"logical_representation\": [\"2015/03/08\", \"Layla, Nevaeh, Eva, Kinsley\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Layla, Nevaeh, Eva, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Eva, Kinsley in the late afternoon on 2015/03/08?\", \"10 minutes\"], [\"who did I talk to on 2015/03/08?\", \"Layla, Nevaeh, Eva, Kinsley\"], [\"Did I talk to Layla, Nevaeh, Eva, Kinsley on 2015/03/08?\", \"yes\"], [\"Did I talk to anyone on 2015/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7985\", \"logical_representation\": [\"2015/03/08\", \"Rylee\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2015/03/08?\", \"9 minutes\"], [\"who did I talk to on 2015/03/08?\", \"Rylee\"], [\"Did I talk to Rylee on 2015/03/08?\", \"yes\"], [\"Did I talk to anyone on 2015/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7986\", \"logical_representation\": [\"2015/03/08\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/03/08?\", \"48 minutes\"], [\"what did I read on 2015/03/08?\", \"social media\"], [\"Did I read on 2015/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/09\": {\"grocery\": {\"eid\": \"e7629\", \"logical_representation\": [\"2015/03/09\", \"I bought some clementines, nectarines, watermelons, coffee, soda, orange juice, milk, conditioner, paper towel online.\", \"clementines, nectarines, watermelons\", \"coffee, soda, orange juice, milk\", \"conditioner, paper towel\", \"Piper, Claire, Eva, Rylee, Nora, Piper, Kinsley, Layla, Avery, Lydia, Hazel, Olivia, Nevaeh\"], \"text_template_based\": \"I bought some clementines, nectarines, watermelons, coffee, soda, orange juice, milk, conditioner, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/03/09?\", \"clementines, nectarines, watermelons, coffee, soda, orange juice, milk, and conditioner, paper towel\"], [\"what fruits did I buy online on 2015/03/09?\", \"clementines, nectarines, watermelons\"], [\"what drinks did I buy online on 2015/03/09?\", \"coffee, soda, orange juice, milk\"], [\"what toiletries did I buy online on 2015/03/09?\", \"conditioner, paper towel\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7987\", \"logical_representation\": [\"2015/03/09\", \"dinner\", \"pasta\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had dinner with Avery, Benjamin, Willow, Jackson. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/03/09?\", \"Avery, Benjamin, Willow, Jackson\"], [\"what did I eat for dinner on 2015/03/09\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/03/18\": {\"hobbies\": {\"eid\": \"e7630\", \"logical_representation\": [\"2015/03/18\", \"I really enjoyed learning a language on 2015/03/18\", \"learning a language\", \"Carter\"], \"text_template_based\": \"I really enjoyed learning a language on 2015/03/18\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2015/03/18\"], [\"On 2015/03/18, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8015\", \"logical_representation\": [\"2015/03/18\", \"biking\"], \"text_template_based\": \"I did biking on 2015/03/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/18?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8016\", \"logical_representation\": [\"2015/03/18\", \"lunch\", \"fish and chips\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/03/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8017\", \"logical_representation\": [\"2015/03/18\", \"dinner\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/03/18?\", \"Andrew\"], [\"what did I eat for dinner on 2015/03/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8018\", \"logical_representation\": [\"2015/03/18\", \"Avery, Piper\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Avery, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the late afternoon on 2015/03/18?\", \"49 minutes\"], [\"who did I talk to on 2015/03/18?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2015/03/18?\", \"yes\"], [\"Did I talk to anyone on 2015/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8019\", \"logical_representation\": [\"2015/03/18\", \"news\", \"42 minutes\"], \"text_template_based\": \"I watched news for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/18?\", \"42 minutes\"], [\"what did I watch on tv on 2015/03/18?\", \"news\"], [\"Did I watch tv on 2015/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/14\": {\"grocery\": {\"eid\": \"e7631\", \"logical_representation\": [\"2015/03/14\", \"I went grocery shopping with Claire. I bought some apricots, mangos, orange juice, coffee, chocolate milk, and body lotion, toothbrush, shaving cream, toothpaste\", \"apricots, mangos\", \"orange juice, coffee, chocolate milk\", \"body lotion, toothbrush, shaving cream, toothpaste\", \"Claire\"], \"text_template_based\": \"I went grocery shopping with Claire. I bought some apricots, mangos, orange juice, coffee, chocolate milk, and body lotion, toothbrush, shaving cream, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/03/14?\", \"apricots, mangos, orange juice, coffee, chocolate milk, and body lotion, toothbrush, shaving cream, toothpaste\"], [\"what fruits did I buy from the grocery store on 2015/03/14?\", \"apricots, mangos\"], [\"what drinks did I buy from the grocery store on 2015/03/14?\", \"orange juice, coffee, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2015/03/14?\", \"body lotion, toothbrush, shaving cream, toothpaste\"], [\"who was with me at the grocery store on 2015/03/14?\", \"Claire\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8000\", \"logical_representation\": [\"2015/03/14\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I had indian food for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/03/14?\", \"Kayden\"], [\"what did I eat for dinner on 2015/03/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8001\", \"logical_representation\": [\"2015/03/14\", \"Nora, Eva\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Nora, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva in the early afternoon on 2015/03/14?\", \"11 minutes\"], [\"who did I talk to on 2015/03/14?\", \"Nora, Eva\"], [\"Did I talk to Nora, Eva on 2015/03/14?\", \"yes\"], [\"Did I talk to anyone on 2015/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8002\", \"logical_representation\": [\"2015/03/14\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/03/14?\", \"49 minutes\"], [\"what did I read on 2015/03/14?\", \"news\"], [\"Did I read on 2015/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/16\": {\"grocery\": {\"eid\": \"e7632\", \"logical_representation\": [\"2015/03/16\", \"I went grocery shopping. I bought some raspberries, tea, mango juice, and facial wash, mouth wash\", \"raspberries\", \"tea, mango juice\", \"facial wash, mouth wash\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, tea, mango juice, and facial wash, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/03/16?\", \"raspberries, tea, mango juice, and facial wash, mouth wash\"], [\"what fruits did I buy from the grocery store on 2015/03/16?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2015/03/16?\", \"tea, mango juice\"], [\"what toiletries did I buy from the grocery store on 2015/03/16?\", \"facial wash, mouth wash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8006\", \"logical_representation\": [\"2015/03/16\", \"lunch\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had tacos for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/03/16?\", \"Kayden\"], [\"what did I eat for lunch on 2015/03/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8007\", \"logical_representation\": [\"2015/03/16\", \"dinner\", \"sandwich\", \"Jackson\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/03/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8008\", \"logical_representation\": [\"2015/03/16\", \"Kinsley, Layla\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla for 11 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla in the early afternoon on 2015/03/16?\", \"11 minutes\"], [\"who did I talk to on 2015/03/16?\", \"Kinsley, Layla\"], [\"Did I talk to Kinsley, Layla on 2015/03/16?\", \"yes\"], [\"Did I talk to anyone on 2015/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8009\", \"logical_representation\": [\"2015/03/16\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/03/16?\", \"8 minutes\"], [\"what did I read on 2015/03/16?\", \"a book\"], [\"Did I read on 2015/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8010\", \"logical_representation\": [\"2015/03/16\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I watched a documentary for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/16?\", \"37 minutes\"], [\"what did I watch on tv on 2015/03/16?\", \"a documentary\"], [\"Did I watch tv on 2015/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/23\": {\"dating\": {\"eid\": \"e7633\", \"logical_representation\": [\"2015/03/23\", \"Harper\", \"a coffee Shop\"], \"text_template_based\": \"On 2015/03/23, I took Harper on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/03/23\", \"Harper\"], [\"where did I go for the date on 2015/03/23\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8033\", \"logical_representation\": [\"2015/03/23\", \"lunch\", \"a burger\", \"Jackson\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/03/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8034\", \"logical_representation\": [\"2015/03/23\", \"dinner\", \"a burger\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/03/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8035\", \"logical_representation\": [\"2015/03/23\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/03/23?\", \"10 minutes\"], [\"what did I read on 2015/03/23?\", \"news\"], [\"Did I read on 2015/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8036\", \"logical_representation\": [\"2015/03/23\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I watched a movie for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/23?\", \"53 minutes\"], [\"what did I watch on tv on 2015/03/23?\", \"a movie\"], [\"Did I watch tv on 2015/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/20\": {\"grocery\": {\"eid\": \"e7634\", \"logical_representation\": [\"2015/03/20\", \"I bought some peaches, clementines, watermelons, milk, mineral water, guava juice, facial wash, paper towel, mouthwash, shaving cream online.\", \"peaches, clementines, watermelons\", \"milk, mineral water, guava juice\", \"facial wash, paper towel, mouthwash, shaving cream\", \"Emily\"], \"text_template_based\": \"I bought some peaches, clementines, watermelons, milk, mineral water, guava juice, facial wash, paper towel, mouthwash, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/03/20?\", \"peaches, clementines, watermelons, milk, mineral water, guava juice, and facial wash, paper towel, mouthwash, shaving cream\"], [\"what fruits did I buy online on 2015/03/20?\", \"peaches, clementines, watermelons\"], [\"what drinks did I buy online on 2015/03/20?\", \"milk, mineral water, guava juice\"], [\"what toiletries did I buy online on 2015/03/20?\", \"facial wash, paper towel, mouthwash, shaving cream\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8023\", \"logical_representation\": [\"2015/03/20\", \"a tv series\", \"38 minutes\"], \"text_template_based\": \"I watched a tv series for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/20?\", \"38 minutes\"], [\"what did I watch on tv on 2015/03/20?\", \"a tv series\"], [\"Did I watch tv on 2015/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/30\": {\"bake\": {\"eid\": \"e7635\", \"logical_representation\": [\"2015/03/30\", \"I was baking blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler on 2015/03/30 with Carter at my place\", \"bake\", \"blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler\", \"Carter\", \"my place\"], \"text_template_based\": \"I was baking blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler on 2015/03/30 with Carter at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler with Carter?\", \"2015/03/30\"], [\"what did I  on 2015/03/30?\", \"blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler\"], [\"who was I with when I  blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler on 2015/03/30?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8058\", \"logical_representation\": [\"2015/03/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/03/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8059\", \"logical_representation\": [\"2015/03/30\", \"breakfast\", \"pancakes\", \"Jackson, Willow\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/03/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/26\": {\"dating\": {\"eid\": \"e7636\", \"logical_representation\": [\"2015/03/26\", \"Ryan\", \"a coffee Shop\"], \"text_template_based\": \"On 2015/03/26, I took Ryan on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/03/26\", \"Ryan\"], [\"where did I go for the date on 2015/03/26\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7638\", \"logical_representation\": [\"2015/03/26\", \"I went grocery shopping with Avery, Piper, Nevaeh, Hazel, Claire, Rylee, Eva, Olivia, Layla, Nora. I bought some peaches, pineapples, nectarines, tea, orange juice, and toilet paper, mouth wash, shampoo\", \"peaches, pineapples, nectarines\", \"tea, orange juice\", \"toilet paper, mouth wash, shampoo\", \"Avery, Piper, Nevaeh, Hazel, Claire, Rylee, Eva, Olivia, Layla, Nora\"], \"text_template_based\": \"I went grocery shopping with Avery, Piper, Nevaeh, Hazel, Claire, Rylee, Eva, Olivia, Layla, Nora. I bought some peaches, pineapples, nectarines, tea, orange juice, and toilet paper, mouth wash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/03/26?\", \"peaches, pineapples, nectarines, tea, orange juice, and toilet paper, mouth wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2015/03/26?\", \"peaches, pineapples, nectarines\"], [\"what drinks did I buy from the grocery store on 2015/03/26?\", \"tea, orange juice\"], [\"what toiletries did I buy from the grocery store on 2015/03/26?\", \"toilet paper, mouth wash, shampoo\"], [\"who was with me at the grocery store on 2015/03/26?\", \"Avery, Piper, Nevaeh, Hazel, Claire, Rylee, Eva, Olivia, Layla, Nora\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8046\", \"logical_representation\": [\"2015/03/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/03/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8047\", \"logical_representation\": [\"2015/03/26\", \"lunch\", \"a burger\", \"Kayden, Carter\"], \"text_template_based\": \"I had a burger for lunch with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/03/26?\", \"Kayden, Carter\"], [\"what did I eat for lunch on 2015/03/26\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/03/28\": {\"hobbies\": {\"eid\": \"e7637\", \"logical_representation\": [\"2015/03/28\", \"I really enjoyed gardening on 2015/03/28\", \"gardening\", \"Kayden, Carter\"], \"text_template_based\": \"I really enjoyed gardening on 2015/03/28\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2015/03/28\"], [\"On 2015/03/28, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8050\", \"logical_representation\": [\"2015/03/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/03/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8051\", \"logical_representation\": [\"2015/03/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/03/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8052\", \"logical_representation\": [\"2015/03/28\", \"lunch\", \"a burger\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had a burger for lunch with Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/03/28?\", \"Emily, Carter, Kayden\"], [\"what did I eat for lunch on 2015/03/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8053\", \"logical_representation\": [\"2015/03/28\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/28?\", \"35 minutes\"], [\"what did I watch on tv on 2015/03/28?\", \"a documentary\"], [\"Did I watch tv on 2015/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/29\": {\"grocery\": {\"eid\": \"e7639\", \"logical_representation\": [\"2015/03/29\", \"I went grocery shopping with Emily, Carter. I bought some blueberries, guava juice, milk, chocolate milk, apple juice, and conditioner, shampoo, mouth wash, toilet paper\", \"blueberries\", \"guava juice, milk, chocolate milk, apple juice\", \"conditioner, shampoo, mouth wash, toilet paper\", \"Emily, Carter\"], \"text_template_based\": \"I went grocery shopping with Emily, Carter. I bought some blueberries, guava juice, milk, chocolate milk, apple juice, and conditioner, shampoo, mouth wash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/03/29?\", \"blueberries, guava juice, milk, chocolate milk, apple juice, and conditioner, shampoo, mouth wash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2015/03/29?\", \"blueberries\"], [\"what drinks did I buy from the grocery store on 2015/03/29?\", \"guava juice, milk, chocolate milk, apple juice\"], [\"what toiletries did I buy from the grocery store on 2015/03/29?\", \"conditioner, shampoo, mouth wash, toilet paper\"], [\"who was with me at the grocery store on 2015/03/29?\", \"Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8054\", \"logical_representation\": [\"2015/03/29\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/03/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/29?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8055\", \"logical_representation\": [\"2015/03/29\", \"lunch\", \"indian food\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had indian food for lunch with Benjamin, Jackson, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/03/29?\", \"Benjamin, Jackson, Willow, Avery\"], [\"what did I eat for lunch on 2015/03/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8056\", \"logical_representation\": [\"2015/03/29\", \"a book\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/03/29?\", \"31 minutes\"], [\"what did I read on 2015/03/29?\", \"a book\"], [\"Did I read on 2015/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8057\", \"logical_representation\": [\"2015/03/29\", \"news\", \"17 minutes\"], \"text_template_based\": \"I watched news for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/29?\", \"17 minutes\"], [\"what did I watch on tv on 2015/03/29?\", \"news\"], [\"Did I watch tv on 2015/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/10\": {\"dating\": {\"eid\": \"e7640\", \"logical_representation\": [\"2015/04/10\", \"Joseph\", \"a boba shop\"], \"text_template_based\": \"On 2015/04/10, I took Joseph on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/04/10\", \"Joseph\"], [\"where did I go for the date on 2015/04/10\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8094\", \"logical_representation\": [\"2015/04/10\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/04/10?\", \"50 minutes\"], [\"what did I read on 2015/04/10?\", \"a book\"], [\"Did I read on 2015/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/14\": {\"dating\": {\"eid\": \"e7641\", \"logical_representation\": [\"2015/04/14\", \"Maya\", \"a coffee Shop\"], \"text_template_based\": \"On 2015/04/14, I took Maya on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/04/14\", \"Maya\"], [\"where did I go for the date on 2015/04/14\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8106\", \"logical_representation\": [\"2015/04/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/04/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8107\", \"logical_representation\": [\"2015/04/14\", \"breakfast\", \"pancakes\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8108\", \"logical_representation\": [\"2015/04/14\", \"lunch\", \"sandwich\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/04/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2015/04/13\": {\"grocery\": {\"eid\": \"e7642\", \"logical_representation\": [\"2015/04/13\", \"I went grocery shopping. I bought some apples, oranges, soda, guava juice, orange juice, mango juice, and toothbrush, toothpaste, mouth wash\", \"apples, oranges\", \"soda, guava juice, orange juice, mango juice\", \"toothbrush, toothpaste, mouth wash\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, oranges, soda, guava juice, orange juice, mango juice, and toothbrush, toothpaste, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/04/13?\", \"apples, oranges, soda, guava juice, orange juice, mango juice, and toothbrush, toothpaste, mouth wash\"], [\"what fruits did I buy from the grocery store on 2015/04/13?\", \"apples, oranges\"], [\"what drinks did I buy from the grocery store on 2015/04/13?\", \"soda, guava juice, orange juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2015/04/13?\", \"toothbrush, toothpaste, mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8102\", \"logical_representation\": [\"2015/04/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8103\", \"logical_representation\": [\"2015/04/13\", \"lunch\", \"sandwich\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/04/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8104\", \"logical_representation\": [\"2015/04/13\", \"Piper, Rylee, Olivia\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee, Olivia for 20 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Olivia in the late afternoon on 2015/04/13?\", \"20 minutes\"], [\"who did I talk to on 2015/04/13?\", \"Piper, Rylee, Olivia\"], [\"Did I talk to Piper, Rylee, Olivia on 2015/04/13?\", \"yes\"], [\"Did I talk to anyone on 2015/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8105\", \"logical_representation\": [\"2015/04/13\", \"Claire\", \"in the early evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Claire for 46 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2015/04/13?\", \"46 minutes\"], [\"who did I talk to on 2015/04/13?\", \"Claire\"], [\"Did I talk to Claire on 2015/04/13?\", \"yes\"], [\"Did I talk to anyone on 2015/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/16\": {\"grocery\": {\"eid\": \"e7643\", \"logical_representation\": [\"2015/04/16\", \"I bought some blackberries, peaches, apple juice, paper towel from the grocery store. I saw Benjamin, Willow at the grocery store.\", \"blackberries, peaches\", \"apple juice\", \"paper towel\", \"Benjamin, Willow\"], \"text_template_based\": \"I bought some blackberries, peaches, apple juice, paper towel from the grocery store. I saw Benjamin, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/04/16?\", \"blackberries, peaches, apple juice, and paper towel\"], [\"what fruits did I buy from the grocery store on 2015/04/16?\", \"blackberries, peaches\"], [\"what drinks did I buy from the grocery store on 2015/04/16?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2015/04/16?\", \"paper towel\"], [\"who did I see at the grocery store on 2015/04/16?\", \"Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8113\", \"logical_representation\": [\"2015/04/16\", \"dinner\", \"steak\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/04/16\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2015/04/25\": {\"dating\": {\"eid\": \"e7644\", \"logical_representation\": [\"2015/04/25\", \"Jackson\", \"a coffee Shop\"], \"text_template_based\": \"On 2015/04/25, I took Jackson on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/04/25\", \"Jackson\"], [\"where did I go for the date on 2015/04/25\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7645\", \"logical_representation\": [\"2015/04/25\", \"I bought some guava, nectarines, apples, apple juice, milk, toothbrush, toilet paper online.\", \"guava, nectarines, apples\", \"apple juice, milk\", \"toothbrush, toilet paper\", \"Emily\"], \"text_template_based\": \"I bought some guava, nectarines, apples, apple juice, milk, toothbrush, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/04/25?\", \"guava, nectarines, apples, apple juice, milk, and toothbrush, toilet paper\"], [\"what fruits did I buy online on 2015/04/25?\", \"guava, nectarines, apples\"], [\"what drinks did I buy online on 2015/04/25?\", \"apple juice, milk\"], [\"what toiletries did I buy online on 2015/04/25?\", \"toothbrush, toilet paper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8148\", \"logical_representation\": [\"2015/04/25\", \"breakfast\", \"pancakes\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Andrew, Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/04/25?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2015/04/25\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8149\", \"logical_representation\": [\"2015/04/25\", \"Piper\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2015/04/25?\", \"39 minutes\"], [\"who did I talk to on 2015/04/25?\", \"Piper\"], [\"Did I talk to Piper on 2015/04/25?\", \"yes\"], [\"Did I talk to anyone on 2015/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8150\", \"logical_representation\": [\"2015/04/25\", \"a documentary\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/25?\", \"11 minutes\"], [\"what did I watch on tv on 2015/04/25?\", \"a documentary\"], [\"Did I watch tv on 2015/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/05\": {\"dating\": {\"eid\": \"e7646\", \"logical_representation\": [\"2015/05/05\", \"Bella\", \"a coffee Shop\"], \"text_template_based\": \"On 2015/05/05, I took Bella on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/05/05\", \"Bella\"], [\"where did I go for the date on 2015/05/05\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8176\", \"logical_representation\": [\"2015/05/05\", \"dinner\", \"sushi\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/05/05?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for dinner on 2015/05/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8177\", \"logical_representation\": [\"2015/05/05\", \"Piper, Hazel, Olivia, Nora\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Piper, Hazel, Olivia, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Olivia, Nora late in the evening on 2015/05/05?\", \"9 minutes\"], [\"who did I talk to on 2015/05/05?\", \"Piper, Hazel, Olivia, Nora\"], [\"Did I talk to Piper, Hazel, Olivia, Nora on 2015/05/05?\", \"yes\"], [\"Did I talk to anyone on 2015/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8178\", \"logical_representation\": [\"2015/05/05\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/05/05?\", \"20 minutes\"], [\"what did I read on 2015/05/05?\", \"news\"], [\"Did I read on 2015/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/03\": {\"hobbies\": {\"eid\": \"e7647\", \"logical_representation\": [\"2015/05/03\", \"I spent time gardening on 2015/05/03 with Kayden.\", \"gardening\", \"Kayden\"], \"text_template_based\": \"I spent time gardening on 2015/05/03 with Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Kayden?\", \"2015/05/03\"], [\"On 2015/05/03, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2015/05/03?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8173\", \"logical_representation\": [\"2015/05/03\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/03?\", \"26 minutes\"], [\"what did I watch on tv on 2015/05/03?\", \"news\"], [\"Did I watch tv on 2015/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/13\": {\"dating\": {\"eid\": \"e7649\", \"logical_representation\": [\"2015/05/13\", \"Jace\", \"a park\"], \"text_template_based\": \"I went on a date with Jace on 2015/05/13 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/05/13\", \"Jace\"], [\"where did I go for the date on 2015/05/13\", \"a park\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8209\", \"logical_representation\": [\"2015/05/13\", \"Kinsley, Hazel, Claire\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel, Claire for 15 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Claire in the morning on 2015/05/13?\", \"15 minutes\"], [\"who did I talk to on 2015/05/13?\", \"Kinsley, Hazel, Claire\"], [\"Did I talk to Kinsley, Hazel, Claire on 2015/05/13?\", \"yes\"], [\"Did I talk to anyone on 2015/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8210\", \"logical_representation\": [\"2015/05/13\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/13?\", \"16 minutes\"], [\"what did I watch on tv on 2015/05/13?\", \"a documentary\"], [\"Did I watch tv on 2015/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/09\": {\"grocery\": {\"eid\": \"e7650\", \"logical_representation\": [\"2015/05/09\", \"I went grocery shopping. I bought some clementines, nectarines, cherres, guava, soda, chocolate milk, and toilet paper, mouth wash\", \"clementines, nectarines, cherres, guava\", \"soda, chocolate milk\", \"toilet paper, mouth wash\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some clementines, nectarines, cherres, guava, soda, chocolate milk, and toilet paper, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/05/09?\", \"clementines, nectarines, cherres, guava, soda, chocolate milk, and toilet paper, mouth wash\"], [\"what fruits did I buy from the grocery store on 2015/05/09?\", \"clementines, nectarines, cherres, guava\"], [\"what drinks did I buy from the grocery store on 2015/05/09?\", \"soda, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2015/05/09?\", \"toilet paper, mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8191\", \"logical_representation\": [\"2015/05/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/05/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/05/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8192\", \"logical_representation\": [\"2015/05/09\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/05/09?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2015/05/09\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8193\", \"logical_representation\": [\"2015/05/09\", \"lunch\", \"chinese food\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/05/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8194\", \"logical_representation\": [\"2015/05/09\", \"Lydia, Eva, Hazel, Nevaeh\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva, Hazel, Nevaeh for 53 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Hazel, Nevaeh in the late afternoon on 2015/05/09?\", \"53 minutes\"], [\"who did I talk to on 2015/05/09?\", \"Lydia, Eva, Hazel, Nevaeh\"], [\"Did I talk to Lydia, Eva, Hazel, Nevaeh on 2015/05/09?\", \"yes\"], [\"Did I talk to anyone on 2015/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8195\", \"logical_representation\": [\"2015/05/09\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/05/09?\", \"46 minutes\"], [\"what did I read on 2015/05/09?\", \"social media\"], [\"Did I read on 2015/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8196\", \"logical_representation\": [\"2015/05/09\", \"news\", \"15 minutes\"], \"text_template_based\": \"I watched news for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/09?\", \"15 minutes\"], [\"what did I watch on tv on 2015/05/09?\", \"news\"], [\"Did I watch tv on 2015/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/14\": {\"cook\": {\"eid\": \"e7652\", \"logical_representation\": [\"2015/05/14\", \"I entertained Rylee, Olivia at my place on 2015/05/14 and cook air-fryer brats, cheesy ham chowder\", \"cook\", \"air-fryer brats, cheesy ham chowder\", \"Rylee, Olivia\", \"my place\"], \"text_template_based\": \"I entertained Rylee, Olivia at my place on 2015/05/14 and cook air-fryer brats, cheesy ham chowder\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook air-fryer brats, cheesy ham chowder with Rylee, Olivia?\", \"2015/05/14\"], [\"what did I cook on 2015/05/14?\", \"air-fryer brats, cheesy ham chowder\"], [\"who was I with when I  air-fryer brats, cheesy ham chowder on 2015/05/14?\", \"Rylee, Olivia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8211\", \"logical_representation\": [\"2015/05/14\", \"running\"], \"text_template_based\": \"I did running on 2015/05/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/05/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8212\", \"logical_representation\": [\"2015/05/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/05/14?\", \"Jackson, Benjamin\"], [\"what did I eat for breakfast on 2015/05/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8213\", \"logical_representation\": [\"2015/05/14\", \"Piper, Olivia\", \"during lunch hours\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Piper, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia during lunch hours on 2015/05/14?\", \"40 minutes\"], [\"who did I talk to on 2015/05/14?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2015/05/14?\", \"yes\"], [\"Did I talk to anyone on 2015/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8214\", \"logical_representation\": [\"2015/05/14\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/05/14?\", \"52 minutes\"], [\"what did I read on 2015/05/14?\", \"news\"], [\"Did I read on 2015/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8215\", \"logical_representation\": [\"2015/05/14\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I watched a documentary for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/14?\", \"17 minutes\"], [\"what did I watch on tv on 2015/05/14?\", \"a documentary\"], [\"Did I watch tv on 2015/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/16\": {\"dating\": {\"eid\": \"e7653\", \"logical_representation\": [\"2015/05/16\", \"Carson\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Carson on 2015/05/16 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/05/16\", \"Carson\"], [\"where did I go for the date on 2015/05/16\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8219\", \"logical_representation\": [\"2015/05/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/05/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/05/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8220\", \"logical_representation\": [\"2015/05/16\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Avery\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8221\", \"logical_representation\": [\"2015/05/16\", \"lunch\", \"sandwich\", \"Olivia, Nevaeh, Hazel, Kinsley\"], \"text_template_based\": \"I had sandwich for lunch with Olivia, Nevaeh, Hazel, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/05/16?\", \"Olivia, Nevaeh, Hazel, Kinsley\"], [\"what did I eat for lunch on 2015/05/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8222\", \"logical_representation\": [\"2015/05/16\", \"Rylee, Hazel, Piper\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I talked to Rylee, Hazel, Piper for 9 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel, Piper in the late afternoon on 2015/05/16?\", \"9 minutes\"], [\"who did I talk to on 2015/05/16?\", \"Rylee, Hazel, Piper\"], [\"Did I talk to Rylee, Hazel, Piper on 2015/05/16?\", \"yes\"], [\"Did I talk to anyone on 2015/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8223\", \"logical_representation\": [\"2015/05/16\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/05/16?\", \"22 minutes\"], [\"what did I read on 2015/05/16?\", \"a book\"], [\"Did I read on 2015/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/20\": {\"dating\": {\"eid\": \"e7654\", \"logical_representation\": [\"2015/05/20\", \"Skylar\", \"a coffee Shop\"], \"text_template_based\": \"On 2015/05/20, I took Skylar on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/05/20\", \"Skylar\"], [\"where did I go for the date on 2015/05/20\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7656\", \"logical_representation\": [\"2015/05/20\", \"I went grocery shopping. I bought some peaches, tea, and mouthwash\", \"peaches\", \"tea\", \"mouthwash\", \"Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, tea, and mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/05/20?\", \"peaches, tea, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2015/05/20?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2015/05/20?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2015/05/20?\", \"mouthwash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8237\", \"logical_representation\": [\"2015/05/20\", \"breakfast\", \"pancakes\", \"Carter, Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/05/20?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2015/05/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8238\", \"logical_representation\": [\"2015/05/20\", \"Kinsley, Claire, Lydia\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Kinsley, Claire, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Lydia in the late afternoon on 2015/05/20?\", \"9 minutes\"], [\"who did I talk to on 2015/05/20?\", \"Kinsley, Claire, Lydia\"], [\"Did I talk to Kinsley, Claire, Lydia on 2015/05/20?\", \"yes\"], [\"Did I talk to anyone on 2015/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8239\", \"logical_representation\": [\"2015/05/20\", \"Hazel, Piper\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Hazel, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper in the early evening on 2015/05/20?\", \"35 minutes\"], [\"who did I talk to on 2015/05/20?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2015/05/20?\", \"yes\"], [\"Did I talk to anyone on 2015/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8240\", \"logical_representation\": [\"2015/05/20\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/05/20?\", \"54 minutes\"], [\"what did I read on 2015/05/20?\", \"news\"], [\"Did I read on 2015/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/15\": {\"grocery\": {\"eid\": \"e7655\", \"logical_representation\": [\"2015/05/15\", \"I went grocery shopping with Emily, Kayden, Carter. I bought some clementines, pears, cherres, mango juice, coffee, and shampoo, toothpaste, paper towel\", \"clementines, pears, cherres\", \"mango juice, coffee\", \"shampoo, toothpaste, paper towel\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping with Emily, Kayden, Carter. I bought some clementines, pears, cherres, mango juice, coffee, and shampoo, toothpaste, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/05/15?\", \"clementines, pears, cherres, mango juice, coffee, and shampoo, toothpaste, paper towel\"], [\"what fruits did I buy from the grocery store on 2015/05/15?\", \"clementines, pears, cherres\"], [\"what drinks did I buy from the grocery store on 2015/05/15?\", \"mango juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2015/05/15?\", \"shampoo, toothpaste, paper towel\"], [\"who was with me at the grocery store on 2015/05/15?\", \"Emily, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8216\", \"logical_representation\": [\"2015/05/15\", \"dinner\", \"chinese food\", \"Lydia, Rylee, Avery, Kinsley, Piper, Piper, Nora, Claire, Hazel, Olivia, Layla, Nevaeh, Eva\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/05/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8217\", \"logical_representation\": [\"2015/05/15\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/05/15?\", \"23 minutes\"], [\"what did I read on 2015/05/15?\", \"news\"], [\"Did I read on 2015/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8218\", \"logical_representation\": [\"2015/05/15\", \"a tv series\", \"29 minutes\"], \"text_template_based\": \"I watched a tv series for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/15?\", \"29 minutes\"], [\"what did I watch on tv on 2015/05/15?\", \"a tv series\"], [\"Did I watch tv on 2015/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/22\": {\"cook\": {\"eid\": \"e7657\", \"logical_representation\": [\"2015/05/22\", \"I was cooking slow-cooker pork loin, cube steak and gravy, traditional meat loaf on 2015/05/22 with Nora, Piper, Hazel at my place\", \"cook\", \"slow-cooker pork loin, cube steak and gravy, traditional meat loaf\", \"Nora, Piper, Hazel\", \"my place\"], \"text_template_based\": \"I was cooking slow-cooker pork loin, cube steak and gravy, traditional meat loaf on 2015/05/22 with Nora, Piper, Hazel at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  slow-cooker pork loin, cube steak and gravy, traditional meat loaf with Nora, Piper, Hazel?\", \"2015/05/22\"], [\"what did I  on 2015/05/22?\", \"slow-cooker pork loin, cube steak and gravy, traditional meat loaf\"], [\"who was I with when I  slow-cooker pork loin, cube steak and gravy, traditional meat loaf on 2015/05/22?\", \"Nora, Piper, Hazel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8248\", \"logical_representation\": [\"2015/05/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/05/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/05/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8249\", \"logical_representation\": [\"2015/05/22\", \"lunch\", \"chinese food\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Carter, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/05/22?\", \"Andrew, Carter, Emily\"], [\"what did I eat for lunch on 2015/05/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8250\", \"logical_representation\": [\"2015/05/22\", \"dinner\", \"indian food\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Carter, Kayden, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/05/22?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for dinner on 2015/05/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8251\", \"logical_representation\": [\"2015/05/22\", \"a documentary\", \"8 minutes\"], \"text_template_based\": \"I watched a documentary for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/22?\", \"8 minutes\"], [\"what did I watch on tv on 2015/05/22?\", \"a documentary\"], [\"Did I watch tv on 2015/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/25\": {\"dating\": {\"eid\": \"e7658\", \"logical_representation\": [\"2015/05/25\", \"Claire\", \"a restaurant\"], \"text_template_based\": \"On 2015/05/25, I took Claire on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/05/25\", \"Claire\"], [\"where did I go for the date on 2015/05/25\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8259\", \"logical_representation\": [\"2015/05/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/05/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/05/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8260\", \"logical_representation\": [\"2015/05/25\", \"Hazel, Nevaeh\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I talked to Hazel, Nevaeh for 44 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh during lunch hours on 2015/05/25?\", \"44 minutes\"], [\"who did I talk to on 2015/05/25?\", \"Hazel, Nevaeh\"], [\"Did I talk to Hazel, Nevaeh on 2015/05/25?\", \"yes\"], [\"Did I talk to anyone on 2015/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8261\", \"logical_representation\": [\"2015/05/25\", \"Nevaeh, Lydia, Claire, Piper\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Nevaeh, Lydia, Claire, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Claire, Piper in the early afternoon on 2015/05/25?\", \"17 minutes\"], [\"who did I talk to on 2015/05/25?\", \"Nevaeh, Lydia, Claire, Piper\"], [\"Did I talk to Nevaeh, Lydia, Claire, Piper on 2015/05/25?\", \"yes\"], [\"Did I talk to anyone on 2015/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/21\": {\"hobbies\": {\"eid\": \"e7659\", \"logical_representation\": [\"2015/05/21\", \"I spent time working out on 2015/05/21 with Andrew.\", \"working out\", \"Andrew\"], \"text_template_based\": \"I spent time working out on 2015/05/21 with Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Andrew?\", \"2015/05/21\"], [\"On 2015/05/21, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2015/05/21?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8241\", \"logical_representation\": [\"2015/05/21\", \"biking\"], \"text_template_based\": \"I did biking on 2015/05/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/05/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8242\", \"logical_representation\": [\"2015/05/21\", \"breakfast\", \"toast and cheese\", \"Rylee, Hazel, Layla, Olivia, Piper\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8243\", \"logical_representation\": [\"2015/05/21\", \"lunch\", \"indian food\", \"Hazel, Rylee, Piper, Eva, Avery, Nora\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/05/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8244\", \"logical_representation\": [\"2015/05/21\", \"dinner\", \"a burger\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Andrew, Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/05/21?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2015/05/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8245\", \"logical_representation\": [\"2015/05/21\", \"Layla, Lydia, Nora, Piper\", \"late in the evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Layla, Lydia, Nora, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Nora, Piper late in the evening on 2015/05/21?\", \"35 minutes\"], [\"who did I talk to on 2015/05/21?\", \"Layla, Lydia, Nora, Piper\"], [\"Did I talk to Layla, Lydia, Nora, Piper on 2015/05/21?\", \"yes\"], [\"Did I talk to anyone on 2015/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8246\", \"logical_representation\": [\"2015/05/21\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/05/21?\", \"5 minutes\"], [\"what did I read on 2015/05/21?\", \"social media\"], [\"Did I read on 2015/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8247\", \"logical_representation\": [\"2015/05/21\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I watched a documentary for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/21?\", \"35 minutes\"], [\"what did I watch on tv on 2015/05/21?\", \"a documentary\"], [\"Did I watch tv on 2015/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/27\": {\"grocery\": {\"eid\": \"e7660\", \"logical_representation\": [\"2015/05/27\", \"I bought some clementines, strawberries, mango juice, pineapple juice, mouth wash, paper towel from the grocery store. I saw Kayden at the grocery store.\", \"clementines, strawberries\", \"mango juice, pineapple juice\", \"mouth wash, paper towel\", \"Kayden\"], \"text_template_based\": \"I bought some clementines, strawberries, mango juice, pineapple juice, mouth wash, paper towel from the grocery store. I saw Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/05/27?\", \"clementines, strawberries, mango juice, pineapple juice, and mouth wash, paper towel\"], [\"what fruits did I buy from the grocery store on 2015/05/27?\", \"clementines, strawberries\"], [\"what drinks did I buy from the grocery store on 2015/05/27?\", \"mango juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2015/05/27?\", \"mouth wash, paper towel\"], [\"who did I see at the grocery store on 2015/05/27?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8266\", \"logical_representation\": [\"2015/05/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/05/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/05/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8267\", \"logical_representation\": [\"2015/05/27\", \"breakfast\", \"cereals\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8268\", \"logical_representation\": [\"2015/05/27\", \"dinner\", \"tacos\", \"Carter, Kayden\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/05/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8269\", \"logical_representation\": [\"2015/05/27\", \"Piper, Avery\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Piper, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery late in the evening on 2015/05/27?\", \"34 minutes\"], [\"who did I talk to on 2015/05/27?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2015/05/27?\", \"yes\"], [\"Did I talk to anyone on 2015/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8270\", \"logical_representation\": [\"2015/05/27\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/05/27?\", \"20 minutes\"], [\"what did I read on 2015/05/27?\", \"social media\"], [\"Did I read on 2015/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8271\", \"logical_representation\": [\"2015/05/27\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/27?\", \"18 minutes\"], [\"what did I watch on tv on 2015/05/27?\", \"news\"], [\"Did I watch tv on 2015/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/02\": {\"hobbies\": {\"eid\": \"e7661\", \"logical_representation\": [\"2015/06/02\", \"I spent some time working out on 2015/06/02.\", \"working out\", \"Avery\"], \"text_template_based\": \"I spent some time working out on 2015/06/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2015/06/02\"], [\"On 2015/06/02, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8294\", \"logical_representation\": [\"2015/06/02\", \"breakfast\", \"oatmeal\", \"Kinsley, Nora, Piper, Avery, Piper, Rylee\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/06/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8295\", \"logical_representation\": [\"2015/06/02\", \"lunch\", \"pasta\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/06/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8296\", \"logical_representation\": [\"2015/06/02\", \"dinner\", \"a burger\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8297\", \"logical_representation\": [\"2015/06/02\", \"Avery\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2015/06/02?\", \"48 minutes\"], [\"who did I talk to on 2015/06/02?\", \"Avery\"], [\"Did I talk to Avery on 2015/06/02?\", \"yes\"], [\"Did I talk to anyone on 2015/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8298\", \"logical_representation\": [\"2015/06/02\", \"Avery, Hazel, Nora\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Avery, Hazel, Nora for 17 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Nora in the late afternoon on 2015/06/02?\", \"17 minutes\"], [\"who did I talk to on 2015/06/02?\", \"Avery, Hazel, Nora\"], [\"Did I talk to Avery, Hazel, Nora on 2015/06/02?\", \"yes\"], [\"Did I talk to anyone on 2015/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/19\": {\"grocery\": {\"eid\": \"e7662\", \"logical_representation\": [\"2015/06/19\", \"I bought some pineapples, blackberries, watermelons, mango juice, shaving cream, body lotion, mouthwash from the grocery store. I saw Lydia, Eva, Olivia, Kinsley, Nevaeh, Rylee, Piper, Nora, Hazel, Avery, Layla, Piper, Claire at the grocery store.\", \"pineapples, blackberries, watermelons\", \"mango juice\", \"shaving cream, body lotion, mouthwash\", \"Lydia, Eva, Olivia, Kinsley, Nevaeh, Rylee, Piper, Nora, Hazel, Avery, Layla, Piper, Claire\"], \"text_template_based\": \"I bought some pineapples, blackberries, watermelons, mango juice, shaving cream, body lotion, mouthwash from the grocery store. I saw Lydia, Eva, Olivia, Kinsley, Nevaeh, Rylee, Piper, Nora, Hazel, Avery, Layla, Piper, Claire at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/06/19?\", \"pineapples, blackberries, watermelons, mango juice, and shaving cream, body lotion, mouthwash\"], [\"what fruits did I buy from the grocery store on 2015/06/19?\", \"pineapples, blackberries, watermelons\"], [\"what drinks did I buy from the grocery store on 2015/06/19?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2015/06/19?\", \"shaving cream, body lotion, mouthwash\"], [\"who did I see at the grocery store on 2015/06/19?\", \"Lydia, Eva, Olivia, Kinsley, Nevaeh, Rylee, Piper, Nora, Hazel, Avery, Layla, Piper, Claire\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8358\", \"logical_representation\": [\"2015/06/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/06/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8359\", \"logical_representation\": [\"2015/06/19\", \"breakfast\", \"pancakes\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/06/19?\", \"Kayden\"], [\"what did I eat for breakfast on 2015/06/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8360\", \"logical_representation\": [\"2015/06/19\", \"lunch\", \"tacos\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had tacos for lunch with Benjamin, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/06/19?\", \"Benjamin, Willow, Jackson\"], [\"what did I eat for lunch on 2015/06/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8361\", \"logical_representation\": [\"2015/06/19\", \"dinner\", \"indian food\", \"Rylee, Piper, Claire, Nevaeh, Piper, Lydia, Kinsley, Hazel, Layla, Nora, Olivia, Avery, Eva\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/19\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8362\", \"logical_representation\": [\"2015/06/19\", \"Avery\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2015/06/19?\", \"14 minutes\"], [\"who did I talk to on 2015/06/19?\", \"Avery\"], [\"Did I talk to Avery on 2015/06/19?\", \"yes\"], [\"Did I talk to anyone on 2015/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8363\", \"logical_representation\": [\"2015/06/19\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/06/19?\", \"19 minutes\"], [\"what did I read on 2015/06/19?\", \"social media\"], [\"Did I read on 2015/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/24\": {\"grocery\": {\"eid\": \"e7663\", \"logical_representation\": [\"2015/06/24\", \"I went grocery shopping. I bought some mandarins, nectarines, coffee, and shaving cream, mouth wash\", \"mandarins, nectarines\", \"coffee\", \"shaving cream, mouth wash\", \"Piper, Eva, Piper, Nora\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, nectarines, coffee, and shaving cream, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/06/24?\", \"mandarins, nectarines, coffee, and shaving cream, mouth wash\"], [\"what fruits did I buy from the grocery store on 2015/06/24?\", \"mandarins, nectarines\"], [\"what drinks did I buy from the grocery store on 2015/06/24?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2015/06/24?\", \"shaving cream, mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8383\", \"logical_representation\": [\"2015/06/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/06/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8384\", \"logical_representation\": [\"2015/06/24\", \"Rylee, Nevaeh\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh for 40 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh late in the evening on 2015/06/24?\", \"40 minutes\"], [\"who did I talk to on 2015/06/24?\", \"Rylee, Nevaeh\"], [\"Did I talk to Rylee, Nevaeh on 2015/06/24?\", \"yes\"], [\"Did I talk to anyone on 2015/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8385\", \"logical_representation\": [\"2015/06/24\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/06/24?\", \"27 minutes\"], [\"what did I read on 2015/06/24?\", \"a book\"], [\"Did I read on 2015/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/25\": {\"cook\": {\"eid\": \"e7664\", \"logical_representation\": [\"2015/06/25\", \"I really enjoyed cooking thai noodle salad on 2015/06/25 with Jackson, Benjamin, Willow at my place\", \"cook\", \"thai noodle salad\", \"Jackson, Benjamin, Willow\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking thai noodle salad on 2015/06/25 with Jackson, Benjamin, Willow at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  thai noodle salad with Jackson, Benjamin, Willow?\", \"2015/06/25\"], [\"what did I  on 2015/06/25?\", \"thai noodle salad\"], [\"who was I with when I  thai noodle salad on 2015/06/25?\", \"Jackson, Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e7665\", \"logical_representation\": [\"2015/06/25\", \"Ezekiel\", \"a park\"], \"text_template_based\": \"On 2015/06/25, I took Ezekiel on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/06/25\", \"Ezekiel\"], [\"where did I go for the date on 2015/06/25\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7667\", \"logical_representation\": [\"2015/06/25\", \"I went grocery shopping with Jackson, Benjamin, Willow, Avery. I bought some mandarins, nectarines, pineapples, cherres, tea, mineral water, and shampoo, mouth wash\", \"mandarins, nectarines, pineapples, cherres\", \"tea, mineral water\", \"shampoo, mouth wash\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I went grocery shopping with Jackson, Benjamin, Willow, Avery. I bought some mandarins, nectarines, pineapples, cherres, tea, mineral water, and shampoo, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/06/25?\", \"mandarins, nectarines, pineapples, cherres, tea, mineral water, and shampoo, mouth wash\"], [\"what fruits did I buy from the grocery store on 2015/06/25?\", \"mandarins, nectarines, pineapples, cherres\"], [\"what drinks did I buy from the grocery store on 2015/06/25?\", \"tea, mineral water\"], [\"what toiletries did I buy from the grocery store on 2015/06/25?\", \"shampoo, mouth wash\"], [\"who was with me at the grocery store on 2015/06/25?\", \"Jackson, Benjamin, Willow, Avery\"]], \"multihop_qa_pairs\": []}}, \"2015/06/28\": {\"dating\": {\"eid\": \"e7666\", \"logical_representation\": [\"2015/06/28\", \"Jacob\", \"a coffee Shop\"], \"text_template_based\": \"On 2015/06/28, I took Jacob on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/06/28\", \"Jacob\"], [\"where did I go for the date on 2015/06/28\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8395\", \"logical_representation\": [\"2015/06/28\", \"biking\"], \"text_template_based\": \"I did biking on 2015/06/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8396\", \"logical_representation\": [\"2015/06/28\", \"lunch\", \"pasta\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Carter, Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/06/28?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2015/06/28\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8397\", \"logical_representation\": [\"2015/06/28\", \"Piper, Hazel, Rylee\", \"late in the evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Rylee for 48 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Rylee late in the evening on 2015/06/28?\", \"48 minutes\"], [\"who did I talk to on 2015/06/28?\", \"Piper, Hazel, Rylee\"], [\"Did I talk to Piper, Hazel, Rylee on 2015/06/28?\", \"yes\"], [\"Did I talk to anyone on 2015/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8398\", \"logical_representation\": [\"2015/06/28\", \"Claire, Lydia, Hazel, Rylee\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Claire, Lydia, Hazel, Rylee for 50 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Hazel, Rylee in the early evening on 2015/06/28?\", \"50 minutes\"], [\"who did I talk to on 2015/06/28?\", \"Claire, Lydia, Hazel, Rylee\"], [\"Did I talk to Claire, Lydia, Hazel, Rylee on 2015/06/28?\", \"yes\"], [\"Did I talk to anyone on 2015/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8399\", \"logical_representation\": [\"2015/06/28\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/06/28?\", \"25 minutes\"], [\"what did I read on 2015/06/28?\", \"news\"], [\"Did I read on 2015/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/29\": {\"grocery\": {\"eid\": \"e7668\", \"logical_representation\": [\"2015/06/29\", \"I went grocery shopping with Piper, Layla, Kinsley. I bought some raspberries, apple juice, pineapple juice, guava juice, sports drinks, and toothpaste, conditioner, toothbrush, toilet paper\", \"raspberries\", \"apple juice, pineapple juice, guava juice, sports drinks\", \"toothpaste, conditioner, toothbrush, toilet paper\", \"Piper, Layla, Kinsley\"], \"text_template_based\": \"I went grocery shopping with Piper, Layla, Kinsley. I bought some raspberries, apple juice, pineapple juice, guava juice, sports drinks, and toothpaste, conditioner, toothbrush, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/06/29?\", \"raspberries, apple juice, pineapple juice, guava juice, sports drinks, and toothpaste, conditioner, toothbrush, toilet paper\"], [\"what fruits did I buy from the grocery store on 2015/06/29?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2015/06/29?\", \"apple juice, pineapple juice, guava juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2015/06/29?\", \"toothpaste, conditioner, toothbrush, toilet paper\"], [\"who was with me at the grocery store on 2015/06/29?\", \"Piper, Layla, Kinsley\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8400\", \"logical_representation\": [\"2015/06/29\", \"breakfast\", \"cereals\", \"Avery, Willow\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/06/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8401\", \"logical_representation\": [\"2015/06/29\", \"lunch\", \"sushi\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/06/29\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2015/07/06\": {\"grocery\": {\"eid\": \"e7669\", \"logical_representation\": [\"2015/07/06\", \"I went grocery shopping. I bought some blackberries, clementines, tea, guava juice, and toilet paper, facial wash\", \"blackberries, clementines\", \"tea, guava juice\", \"toilet paper, facial wash\", \"Nevaeh, Kinsley, Avery, Claire, Rylee, Piper\"], \"text_template_based\": \"I went grocery shopping. I bought some blackberries, clementines, tea, guava juice, and toilet paper, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/07/06?\", \"blackberries, clementines, tea, guava juice, and toilet paper, facial wash\"], [\"what fruits did I buy from the grocery store on 2015/07/06?\", \"blackberries, clementines\"], [\"what drinks did I buy from the grocery store on 2015/07/06?\", \"tea, guava juice\"], [\"what toiletries did I buy from the grocery store on 2015/07/06?\", \"toilet paper, facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8421\", \"logical_representation\": [\"2015/07/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/07/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8422\", \"logical_representation\": [\"2015/07/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Olivia, Nora, Rylee, Lydia, Piper, Layla, Hazel, Eva, Avery, Nevaeh, Claire\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8423\", \"logical_representation\": [\"2015/07/06\", \"Olivia\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I talked to Olivia for 49 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2015/07/06?\", \"49 minutes\"], [\"who did I talk to on 2015/07/06?\", \"Olivia\"], [\"Did I talk to Olivia on 2015/07/06?\", \"yes\"], [\"Did I talk to anyone on 2015/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/13\": {\"bake\": {\"eid\": \"e7670\", \"logical_representation\": [\"2015/07/13\", \"I was baking homemade toaster pastries on 2015/07/13 with Kayden, Andrew at my place\", \"bake\", \"homemade toaster pastries\", \"Kayden, Andrew\", \"my place\"], \"text_template_based\": \"I was baking homemade toaster pastries on 2015/07/13 with Kayden, Andrew at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  homemade toaster pastries with Kayden, Andrew?\", \"2015/07/13\"], [\"what did I  on 2015/07/13?\", \"homemade toaster pastries\"], [\"who was I with when I  homemade toaster pastries on 2015/07/13?\", \"Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8449\", \"logical_representation\": [\"2015/07/13\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8450\", \"logical_representation\": [\"2015/07/13\", \"lunch\", \"chinese food\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had lunch with Avery, Benjamin, Willow, Jackson. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/07/13?\", \"Avery, Benjamin, Willow, Jackson\"], [\"what did I eat for lunch on 2015/07/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2015/07/15\": {\"hobbies\": {\"eid\": \"e7671\", \"logical_representation\": [\"2015/07/15\", \"I spent some time gardening on 2015/07/15.\", \"gardening\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I spent some time gardening on 2015/07/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2015/07/15\"], [\"On 2015/07/15, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8457\", \"logical_representation\": [\"2015/07/15\", \"running\"], \"text_template_based\": \"I did running on 2015/07/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8458\", \"logical_representation\": [\"2015/07/15\", \"lunch\", \"a burger\", \"Olivia, Rylee, Nevaeh, Piper, Avery, Layla, Piper, Kinsley, Lydia, Claire, Eva\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/15\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/07/10\": {\"grocery\": {\"eid\": \"e7672\", \"logical_representation\": [\"2015/07/10\", \"I went grocery shopping with Lydia, Layla, Avery, Piper, Nora, Claire, Eva, Kinsley, Rylee, Nevaeh, Olivia, Hazel. I bought some oranges, apple juice, orange juice, pineapple juice, and facial wash, conditioner, paper towel\", \"oranges\", \"apple juice, orange juice, pineapple juice\", \"facial wash, conditioner, paper towel\", \"Lydia, Layla, Avery, Piper, Nora, Claire, Eva, Kinsley, Rylee, Nevaeh, Olivia, Hazel\"], \"text_template_based\": \"I went grocery shopping with Lydia, Layla, Avery, Piper, Nora, Claire, Eva, Kinsley, Rylee, Nevaeh, Olivia, Hazel. I bought some oranges, apple juice, orange juice, pineapple juice, and facial wash, conditioner, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/07/10?\", \"oranges, apple juice, orange juice, pineapple juice, and facial wash, conditioner, paper towel\"], [\"what fruits did I buy from the grocery store on 2015/07/10?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2015/07/10?\", \"apple juice, orange juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2015/07/10?\", \"facial wash, conditioner, paper towel\"], [\"who was with me at the grocery store on 2015/07/10?\", \"Lydia, Layla, Avery, Piper, Nora, Claire, Eva, Kinsley, Rylee, Nevaeh, Olivia, Hazel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8433\", \"logical_representation\": [\"2015/07/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8434\", \"logical_representation\": [\"2015/07/10\", \"lunch\", \"steak\", \"Nevaeh, Piper, Lydia, Rylee, Piper, Kinsley, Claire, Layla, Eva, Olivia, Nora, Avery, Hazel\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8435\", \"logical_representation\": [\"2015/07/10\", \"dinner\", \"tacos\", \"Claire, Nora, Kinsley, Nevaeh, Piper, Rylee, Piper, Eva, Layla, Lydia, Avery, Hazel\"], \"text_template_based\": \"I had dinner with Claire, Nora, Kinsley, Nevaeh, Piper, Rylee, Piper, Eva, Layla, Lydia, Avery, Hazel. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/07/10?\", \"Claire, Nora, Kinsley, Nevaeh, Piper, Rylee, Piper, Eva, Layla, Lydia, Avery, Hazel\"], [\"what did I eat for dinner on 2015/07/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8436\", \"logical_representation\": [\"2015/07/10\", \"Piper, Rylee, Nevaeh, Olivia\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Piper, Rylee, Nevaeh, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Nevaeh, Olivia in the late afternoon on 2015/07/10?\", \"30 minutes\"], [\"who did I talk to on 2015/07/10?\", \"Piper, Rylee, Nevaeh, Olivia\"], [\"Did I talk to Piper, Rylee, Nevaeh, Olivia on 2015/07/10?\", \"yes\"], [\"Did I talk to anyone on 2015/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8437\", \"logical_representation\": [\"2015/07/10\", \"Layla, Piper\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Layla, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper in the late afternoon on 2015/07/10?\", \"41 minutes\"], [\"who did I talk to on 2015/07/10?\", \"Layla, Piper\"], [\"Did I talk to Layla, Piper on 2015/07/10?\", \"yes\"], [\"Did I talk to anyone on 2015/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8438\", \"logical_representation\": [\"2015/07/10\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/07/10?\", \"16 minutes\"], [\"what did I read on 2015/07/10?\", \"a book\"], [\"Did I read on 2015/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8439\", \"logical_representation\": [\"2015/07/10\", \"news\", \"14 minutes\"], \"text_template_based\": \"I watched news for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/10?\", \"14 minutes\"], [\"what did I watch on tv on 2015/07/10?\", \"news\"], [\"Did I watch tv on 2015/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/22\": {\"dating\": {\"eid\": \"e7673\", \"logical_representation\": [\"2015/07/22\", \"Ella\", \"a park\"], \"text_template_based\": \"On 2015/07/22, I took Ella on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/07/22\", \"Ella\"], [\"where did I go for the date on 2015/07/22\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8484\", \"logical_representation\": [\"2015/07/22\", \"biking\"], \"text_template_based\": \"I did biking on 2015/07/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8485\", \"logical_representation\": [\"2015/07/22\", \"dinner\", \"tacos\", \"Avery, Kinsley, Claire, Rylee, Layla, Eva\"], \"text_template_based\": \"I had tacos for dinner with Avery, Kinsley, Claire, Rylee, Layla, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/07/22?\", \"Avery, Kinsley, Claire, Rylee, Layla, Eva\"], [\"what did I eat for dinner on 2015/07/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8486\", \"logical_representation\": [\"2015/07/22\", \"Claire, Olivia\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia for 17 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia late in the evening on 2015/07/22?\", \"17 minutes\"], [\"who did I talk to on 2015/07/22?\", \"Claire, Olivia\"], [\"Did I talk to Claire, Olivia on 2015/07/22?\", \"yes\"], [\"Did I talk to anyone on 2015/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8487\", \"logical_representation\": [\"2015/07/22\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/07/22?\", \"43 minutes\"], [\"what did I read on 2015/07/22?\", \"a book\"], [\"Did I read on 2015/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8488\", \"logical_representation\": [\"2015/07/22\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/22?\", \"54 minutes\"], [\"what did I watch on tv on 2015/07/22?\", \"a documentary\"], [\"Did I watch tv on 2015/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/25\": {\"hobbies\": {\"eid\": \"e7674\", \"logical_representation\": [\"2015/07/25\", \"I spent some time yoga on 2015/07/25.\", \"yoga\", \"Kayden, Carter\"], \"text_template_based\": \"I spent some time yoga on 2015/07/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2015/07/25\"], [\"On 2015/07/25, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7675\", \"logical_representation\": [\"2015/07/25\", \"I went grocery shopping. I bought some pears, apricots, guava juice, pineapple juice, orange juice, coffee, and toothpaste, paper towel, toothbrush, facial wash\", \"pears, apricots\", \"guava juice, pineapple juice, orange juice, coffee\", \"toothpaste, paper towel, toothbrush, facial wash\", \"Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some pears, apricots, guava juice, pineapple juice, orange juice, coffee, and toothpaste, paper towel, toothbrush, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/07/25?\", \"pears, apricots, guava juice, pineapple juice, orange juice, coffee, and toothpaste, paper towel, toothbrush, facial wash\"], [\"what fruits did I buy from the grocery store on 2015/07/25?\", \"pears, apricots\"], [\"what drinks did I buy from the grocery store on 2015/07/25?\", \"guava juice, pineapple juice, orange juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2015/07/25?\", \"toothpaste, paper towel, toothbrush, facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8498\", \"logical_representation\": [\"2015/07/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/07/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8499\", \"logical_representation\": [\"2015/07/25\", \"breakfast\", \"cereals\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Andrew, Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/07/25?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for breakfast on 2015/07/25\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8500\", \"logical_representation\": [\"2015/07/25\", \"Kinsley\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2015/07/25?\", \"23 minutes\"], [\"who did I talk to on 2015/07/25?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2015/07/25?\", \"yes\"], [\"Did I talk to anyone on 2015/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8501\", \"logical_representation\": [\"2015/07/25\", \"Rylee\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Rylee for 5 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2015/07/25?\", \"5 minutes\"], [\"who did I talk to on 2015/07/25?\", \"Rylee\"], [\"Did I talk to Rylee on 2015/07/25?\", \"yes\"], [\"Did I talk to anyone on 2015/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8502\", \"logical_representation\": [\"2015/07/25\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/07/25?\", \"13 minutes\"], [\"what did I read on 2015/07/25?\", \"a book\"], [\"Did I read on 2015/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8503\", \"logical_representation\": [\"2015/07/25\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I watched a tv series for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/25?\", \"32 minutes\"], [\"what did I watch on tv on 2015/07/25?\", \"a tv series\"], [\"Did I watch tv on 2015/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/03\": {\"grocery\": {\"eid\": \"e7677\", \"logical_representation\": [\"2015/08/03\", \"I bought some pears, milk, toothbrush, mouth wash, body lotion, toothpaste from the grocery store. I saw Rylee, Olivia, Kinsley, Claire, Lydia at the grocery store.\", \"pears\", \"milk\", \"toothbrush, mouth wash, body lotion, toothpaste\", \"Rylee, Olivia, Kinsley, Claire, Lydia\"], \"text_template_based\": \"I bought some pears, milk, toothbrush, mouth wash, body lotion, toothpaste from the grocery store. I saw Rylee, Olivia, Kinsley, Claire, Lydia at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/08/03?\", \"pears, milk, and toothbrush, mouth wash, body lotion, toothpaste\"], [\"what fruits did I buy from the grocery store on 2015/08/03?\", \"pears\"], [\"what drinks did I buy from the grocery store on 2015/08/03?\", \"milk\"], [\"what toiletries did I buy from the grocery store on 2015/08/03?\", \"toothbrush, mouth wash, body lotion, toothpaste\"], [\"who did I see at the grocery store on 2015/08/03?\", \"Rylee, Olivia, Kinsley, Claire, Lydia\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8533\", \"logical_representation\": [\"2015/08/03\", \"lunch\", \"fish and chips\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had fish and chips for lunch with Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/08/03?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for lunch on 2015/08/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8534\", \"logical_representation\": [\"2015/08/03\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/03?\", \"42 minutes\"], [\"what did I watch on tv on 2015/08/03?\", \"a documentary\"], [\"Did I watch tv on 2015/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/08\": {\"grocery\": {\"eid\": \"e7678\", \"logical_representation\": [\"2015/08/08\", \"I bought some apricots, mandarins, strawberries, nectarines, pineapple juice, coffee, mineral water, toothpaste from the grocery store. I saw Jackson, Benjamin, Willow at the grocery store.\", \"apricots, mandarins, strawberries, nectarines\", \"pineapple juice, coffee, mineral water\", \"toothpaste\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I bought some apricots, mandarins, strawberries, nectarines, pineapple juice, coffee, mineral water, toothpaste from the grocery store. I saw Jackson, Benjamin, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/08/08?\", \"apricots, mandarins, strawberries, nectarines, pineapple juice, coffee, mineral water, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2015/08/08?\", \"apricots, mandarins, strawberries, nectarines\"], [\"what drinks did I buy from the grocery store on 2015/08/08?\", \"pineapple juice, coffee, mineral water\"], [\"what toiletries did I buy from the grocery store on 2015/08/08?\", \"toothpaste\"], [\"who did I see at the grocery store on 2015/08/08?\", \"Jackson, Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8553\", \"logical_representation\": [\"2015/08/08\", \"lunch\", \"sushi\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/08\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2015/08/11\": {\"grocery\": {\"eid\": \"e7679\", \"logical_representation\": [\"2015/08/11\", \"I went grocery shopping. I bought some bananas, apple juice, milk, pineapple juice, soda, and mouthwash, facial wash\", \"bananas\", \"apple juice, milk, pineapple juice, soda\", \"mouthwash, facial wash\", \"Lydia, Nevaeh, Rylee, Eva, Piper, Piper, Claire, Hazel\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, apple juice, milk, pineapple juice, soda, and mouthwash, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/08/11?\", \"bananas, apple juice, milk, pineapple juice, soda, and mouthwash, facial wash\"], [\"what fruits did I buy from the grocery store on 2015/08/11?\", \"bananas\"], [\"what drinks did I buy from the grocery store on 2015/08/11?\", \"apple juice, milk, pineapple juice, soda\"], [\"what toiletries did I buy from the grocery store on 2015/08/11?\", \"mouthwash, facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8560\", \"logical_representation\": [\"2015/08/11\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/08/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/11?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8561\", \"logical_representation\": [\"2015/08/11\", \"lunch\", \"tacos\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Andrew, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/08/11?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for lunch on 2015/08/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8562\", \"logical_representation\": [\"2015/08/11\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/08/11?\", \"38 minutes\"], [\"what did I read on 2015/08/11?\", \"a book\"], [\"Did I read on 2015/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8563\", \"logical_representation\": [\"2015/08/11\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I watched a movie for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/11?\", \"10 minutes\"], [\"what did I watch on tv on 2015/08/11?\", \"a movie\"], [\"Did I watch tv on 2015/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/14\": {\"hobbies\": {\"eid\": \"e7680\", \"logical_representation\": [\"2015/08/14\", \"I spent time learning a language on 2015/08/14 with Andrew.\", \"learning a language\", \"Andrew\"], \"text_template_based\": \"I spent time learning a language on 2015/08/14 with Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Andrew?\", \"2015/08/14\"], [\"On 2015/08/14, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2015/08/14?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8573\", \"logical_representation\": [\"2015/08/14\", \"lunch\", \"steak\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8574\", \"logical_representation\": [\"2015/08/14\", \"Lydia, Layla, Rylee\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Lydia, Layla, Rylee for 16 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla, Rylee in the early afternoon on 2015/08/14?\", \"16 minutes\"], [\"who did I talk to on 2015/08/14?\", \"Lydia, Layla, Rylee\"], [\"Did I talk to Lydia, Layla, Rylee on 2015/08/14?\", \"yes\"], [\"Did I talk to anyone on 2015/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/13\": {\"grocery\": {\"eid\": \"e7681\", \"logical_representation\": [\"2015/08/13\", \"I went grocery shopping. I bought some raspberries, sports drinks, guava juice, coffee, and facial wash, paper towel\", \"raspberries\", \"sports drinks, guava juice, coffee\", \"facial wash, paper towel\", \"Eva, Kinsley, Piper, Layla, Avery, Nora, Nevaeh, Rylee, Olivia, Hazel, Piper\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, sports drinks, guava juice, coffee, and facial wash, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/08/13?\", \"raspberries, sports drinks, guava juice, coffee, and facial wash, paper towel\"], [\"what fruits did I buy from the grocery store on 2015/08/13?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2015/08/13?\", \"sports drinks, guava juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2015/08/13?\", \"facial wash, paper towel\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8568\", \"logical_representation\": [\"2015/08/13\", \"breakfast\", \"pancakes\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Carter, Emily. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/08/13?\", \"Andrew, Carter, Emily\"], [\"what did I eat for breakfast on 2015/08/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8569\", \"logical_representation\": [\"2015/08/13\", \"lunch\", \"a burger\", \"Layla, Piper, Kinsley, Olivia, Rylee, Avery, Nora, Claire, Lydia\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8570\", \"logical_representation\": [\"2015/08/13\", \"dinner\", \"sandwich\", \"Kinsley, Eva\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/08/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8571\", \"logical_representation\": [\"2015/08/13\", \"Claire\", \"late in the evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Claire for 35 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2015/08/13?\", \"35 minutes\"], [\"who did I talk to on 2015/08/13?\", \"Claire\"], [\"Did I talk to Claire on 2015/08/13?\", \"yes\"], [\"Did I talk to anyone on 2015/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8572\", \"logical_representation\": [\"2015/08/13\", \"a tv series\", \"41 minutes\"], \"text_template_based\": \"I watched a tv series for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/13?\", \"41 minutes\"], [\"what did I watch on tv on 2015/08/13?\", \"a tv series\"], [\"Did I watch tv on 2015/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/16\": {\"grocery\": {\"eid\": \"e7682\", \"logical_representation\": [\"2015/08/16\", \"I bought some oranges, bananas, peaches, pears, chocolate milk, pineapple juice, sports drinks, mouthwash, paper towel online.\", \"oranges, bananas, peaches, pears\", \"chocolate milk, pineapple juice, sports drinks\", \"mouthwash, paper towel\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I bought some oranges, bananas, peaches, pears, chocolate milk, pineapple juice, sports drinks, mouthwash, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/08/16?\", \"oranges, bananas, peaches, pears, chocolate milk, pineapple juice, sports drinks, and mouthwash, paper towel\"], [\"what fruits did I buy online on 2015/08/16?\", \"oranges, bananas, peaches, pears\"], [\"what drinks did I buy online on 2015/08/16?\", \"chocolate milk, pineapple juice, sports drinks\"], [\"what toiletries did I buy online on 2015/08/16?\", \"mouthwash, paper towel\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8580\", \"logical_representation\": [\"2015/08/16\", \"dinner\", \"fish and chips\", \"Claire, Nora, Eva, Hazel, Piper, Kinsley, Rylee, Layla, Lydia\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/08/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8581\", \"logical_representation\": [\"2015/08/16\", \"Layla, Kinsley, Nevaeh\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Layla, Kinsley, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Nevaeh in the early evening on 2015/08/16?\", \"51 minutes\"], [\"who did I talk to on 2015/08/16?\", \"Layla, Kinsley, Nevaeh\"], [\"Did I talk to Layla, Kinsley, Nevaeh on 2015/08/16?\", \"yes\"], [\"Did I talk to anyone on 2015/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8582\", \"logical_representation\": [\"2015/08/16\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/08/16?\", \"17 minutes\"], [\"what did I read on 2015/08/16?\", \"news\"], [\"Did I read on 2015/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/21\": {\"dating\": {\"eid\": \"e7683\", \"logical_representation\": [\"2015/08/21\", \"Lucy\", \"a coffee Shop\"], \"text_template_based\": \"On 2015/08/21, I took Lucy on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/08/21\", \"Lucy\"], [\"where did I go for the date on 2015/08/21\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8600\", \"logical_representation\": [\"2015/08/21\", \"running\"], \"text_template_based\": \"I did running on 2015/08/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8601\", \"logical_representation\": [\"2015/08/21\", \"lunch\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had steak for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/08/21?\", \"Kayden\"], [\"what did I eat for lunch on 2015/08/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8602\", \"logical_representation\": [\"2015/08/21\", \"Piper, Lydia, Nevaeh\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Piper, Lydia, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Nevaeh during lunch hours on 2015/08/21?\", \"46 minutes\"], [\"who did I talk to on 2015/08/21?\", \"Piper, Lydia, Nevaeh\"], [\"Did I talk to Piper, Lydia, Nevaeh on 2015/08/21?\", \"yes\"], [\"Did I talk to anyone on 2015/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8603\", \"logical_representation\": [\"2015/08/21\", \"Nevaeh, Hazel, Eva, Piper\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Hazel, Eva, Piper for 15 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Eva, Piper in the morning on 2015/08/21?\", \"15 minutes\"], [\"who did I talk to on 2015/08/21?\", \"Nevaeh, Hazel, Eva, Piper\"], [\"Did I talk to Nevaeh, Hazel, Eva, Piper on 2015/08/21?\", \"yes\"], [\"Did I talk to anyone on 2015/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8604\", \"logical_representation\": [\"2015/08/21\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/21?\", \"42 minutes\"], [\"what did I watch on tv on 2015/08/21?\", \"news\"], [\"Did I watch tv on 2015/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/25\": {\"grocery\": {\"eid\": \"e7684\", \"logical_representation\": [\"2015/08/25\", \"I went grocery shopping. I bought some guava, bananas, mandarins, raspberries, mango juice, and paper towel, mouth wash, conditioner, shampoo\", \"guava, bananas, mandarins, raspberries\", \"mango juice\", \"paper towel, mouth wash, conditioner, shampoo\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some guava, bananas, mandarins, raspberries, mango juice, and paper towel, mouth wash, conditioner, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/08/25?\", \"guava, bananas, mandarins, raspberries, mango juice, and paper towel, mouth wash, conditioner, shampoo\"], [\"what fruits did I buy from the grocery store on 2015/08/25?\", \"guava, bananas, mandarins, raspberries\"], [\"what drinks did I buy from the grocery store on 2015/08/25?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2015/08/25?\", \"paper towel, mouth wash, conditioner, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8615\", \"logical_representation\": [\"2015/08/25\", \"running\"], \"text_template_based\": \"I did running on 2015/08/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8616\", \"logical_representation\": [\"2015/08/25\", \"lunch\", \"fish and chips\", \"Piper, Lydia, Claire, Nevaeh\"], \"text_template_based\": \"I had fish and chips for lunch with Piper, Lydia, Claire, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/08/25?\", \"Piper, Lydia, Claire, Nevaeh\"], [\"what did I eat for lunch on 2015/08/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8617\", \"logical_representation\": [\"2015/08/25\", \"Eva, Nevaeh, Hazel, Piper\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Eva, Nevaeh, Hazel, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Hazel, Piper late in the evening on 2015/08/25?\", \"45 minutes\"], [\"who did I talk to on 2015/08/25?\", \"Eva, Nevaeh, Hazel, Piper\"], [\"Did I talk to Eva, Nevaeh, Hazel, Piper on 2015/08/25?\", \"yes\"], [\"Did I talk to anyone on 2015/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8618\", \"logical_representation\": [\"2015/08/25\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/08/25?\", \"12 minutes\"], [\"what did I read on 2015/08/25?\", \"social media\"], [\"Did I read on 2015/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/27\": {\"grocery\": {\"eid\": \"e7685\", \"logical_representation\": [\"2015/08/27\", \"I went grocery shopping with Piper, Piper, Rylee. I bought some blueberries, guava juice, mineral water, sports drinks, and toothpaste\", \"blueberries\", \"guava juice, mineral water, sports drinks\", \"toothpaste\", \"Piper, Piper, Rylee\"], \"text_template_based\": \"I went grocery shopping with Piper, Piper, Rylee. I bought some blueberries, guava juice, mineral water, sports drinks, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/08/27?\", \"blueberries, guava juice, mineral water, sports drinks, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2015/08/27?\", \"blueberries\"], [\"what drinks did I buy from the grocery store on 2015/08/27?\", \"guava juice, mineral water, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2015/08/27?\", \"toothpaste\"], [\"who was with me at the grocery store on 2015/08/27?\", \"Piper, Piper, Rylee\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8625\", \"logical_representation\": [\"2015/08/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/08/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8626\", \"logical_representation\": [\"2015/08/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Rylee, Lydia, Nevaeh, Piper, Claire, Avery, Piper, Nora, Hazel, Layla, Olivia, Kinsley\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Eva, Rylee, Lydia, Nevaeh, Piper, Claire, Avery, Piper, Nora, Hazel, Layla, Olivia, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/08/27?\", \"Eva, Rylee, Lydia, Nevaeh, Piper, Claire, Avery, Piper, Nora, Hazel, Layla, Olivia, Kinsley\"], [\"what did I eat for breakfast on 2015/08/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8627\", \"logical_representation\": [\"2015/08/27\", \"dinner\", \"tacos\", \"Rylee, Nora, Kinsley, Claire, Olivia, Layla, Avery\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/08/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8628\", \"logical_representation\": [\"2015/08/27\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/08/27?\", \"32 minutes\"], [\"what did I read on 2015/08/27?\", \"a book\"], [\"Did I read on 2015/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/02\": {\"grocery\": {\"eid\": \"e7686\", \"logical_representation\": [\"2015/09/02\", \"I went grocery shopping with Kayden, Andrew, Emily. I bought some apricots, watermelons, bananas, coffee, pineapple juice, mango juice, and shaving cream, mouth wash, toilet paper\", \"apricots, watermelons, bananas\", \"coffee, pineapple juice, mango juice\", \"shaving cream, mouth wash, toilet paper\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping with Kayden, Andrew, Emily. I bought some apricots, watermelons, bananas, coffee, pineapple juice, mango juice, and shaving cream, mouth wash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/09/02?\", \"apricots, watermelons, bananas, coffee, pineapple juice, mango juice, and shaving cream, mouth wash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2015/09/02?\", \"apricots, watermelons, bananas\"], [\"what drinks did I buy from the grocery store on 2015/09/02?\", \"coffee, pineapple juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2015/09/02?\", \"shaving cream, mouth wash, toilet paper\"], [\"who was with me at the grocery store on 2015/09/02?\", \"Kayden, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8646\", \"logical_representation\": [\"2015/09/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/09/02?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for breakfast on 2015/09/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8647\", \"logical_representation\": [\"2015/09/02\", \"dinner\", \"chinese food\", \"Kinsley, Hazel, Nora, Eva, Avery\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8648\", \"logical_representation\": [\"2015/09/02\", \"Layla, Avery, Nora\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Layla, Avery, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Nora during lunch hours on 2015/09/02?\", \"28 minutes\"], [\"who did I talk to on 2015/09/02?\", \"Layla, Avery, Nora\"], [\"Did I talk to Layla, Avery, Nora on 2015/09/02?\", \"yes\"], [\"Did I talk to anyone on 2015/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8649\", \"logical_representation\": [\"2015/09/02\", \"Nevaeh\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2015/09/02?\", \"45 minutes\"], [\"who did I talk to on 2015/09/02?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2015/09/02?\", \"yes\"], [\"Did I talk to anyone on 2015/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/07\": {\"cook\": {\"eid\": \"e7687\", \"logical_representation\": [\"2015/09/07\", \"I entertained Jackson at my place on 2015/09/07 and cook split pea soup with ham & jalapeno\", \"cook\", \"split pea soup with ham & jalapeno\", \"Jackson\", \"my place\"], \"text_template_based\": \"I entertained Jackson at my place on 2015/09/07 and cook split pea soup with ham & jalapeno\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook split pea soup with ham & jalapeno with Jackson?\", \"2015/09/07\"], [\"what did I cook on 2015/09/07?\", \"split pea soup with ham & jalapeno\"], [\"who was I with when I  split pea soup with ham & jalapeno on 2015/09/07?\", \"Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8667\", \"logical_representation\": [\"2015/09/07\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Kayden\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8668\", \"logical_representation\": [\"2015/09/07\", \"dinner\", \"fish and chips\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8669\", \"logical_representation\": [\"2015/09/07\", \"Hazel\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2015/09/07?\", \"53 minutes\"], [\"who did I talk to on 2015/09/07?\", \"Hazel\"], [\"Did I talk to Hazel on 2015/09/07?\", \"yes\"], [\"Did I talk to anyone on 2015/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8670\", \"logical_representation\": [\"2015/09/07\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/09/07?\", \"26 minutes\"], [\"what did I read on 2015/09/07?\", \"a book\"], [\"Did I read on 2015/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8671\", \"logical_representation\": [\"2015/09/07\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/07?\", \"10 minutes\"], [\"what did I watch on tv on 2015/09/07?\", \"a documentary\"], [\"Did I watch tv on 2015/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/09\": {\"hobbies\": {\"eid\": \"e7688\", \"logical_representation\": [\"2015/09/09\", \"I really enjoyed working out on 2015/09/09\", \"working out\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I really enjoyed working out on 2015/09/09\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2015/09/09\"], [\"On 2015/09/09, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8674\", \"logical_representation\": [\"2015/09/09\", \"breakfast\", \"toast and cheese\", \"Nevaeh, Piper, Lydia, Olivia, Claire, Avery, Layla\"], \"text_template_based\": \"I had breakfast with Nevaeh, Piper, Lydia, Olivia, Claire, Avery, Layla. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/09/09?\", \"Nevaeh, Piper, Lydia, Olivia, Claire, Avery, Layla\"], [\"what did I eat for breakfast on 2015/09/09\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8675\", \"logical_representation\": [\"2015/09/09\", \"lunch\", \"indian food\", \"Rylee, Lydia, Piper, Avery, Eva, Layla, Olivia, Nora, Hazel, Claire, Piper, Kinsley, Nevaeh\"], \"text_template_based\": \"I had indian food for lunch with Rylee, Lydia, Piper, Avery, Eva, Layla, Olivia, Nora, Hazel, Claire, Piper, Kinsley, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/09/09?\", \"Rylee, Lydia, Piper, Avery, Eva, Layla, Olivia, Nora, Hazel, Claire, Piper, Kinsley, Nevaeh\"], [\"what did I eat for lunch on 2015/09/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8676\", \"logical_representation\": [\"2015/09/09\", \"dinner\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/09/09?\", \"Kayden\"], [\"what did I eat for dinner on 2015/09/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8677\", \"logical_representation\": [\"2015/09/09\", \"Lydia, Eva, Kinsley\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva, Kinsley for 48 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Kinsley in the early evening on 2015/09/09?\", \"48 minutes\"], [\"who did I talk to on 2015/09/09?\", \"Lydia, Eva, Kinsley\"], [\"Did I talk to Lydia, Eva, Kinsley on 2015/09/09?\", \"yes\"], [\"Did I talk to anyone on 2015/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8678\", \"logical_representation\": [\"2015/09/09\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/09/09?\", \"27 minutes\"], [\"what did I read on 2015/09/09?\", \"news\"], [\"Did I read on 2015/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8679\", \"logical_representation\": [\"2015/09/09\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/09?\", \"54 minutes\"], [\"what did I watch on tv on 2015/09/09?\", \"a tv series\"], [\"Did I watch tv on 2015/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/13\": {\"dating\": {\"eid\": \"e7689\", \"logical_representation\": [\"2015/09/13\", \"Easton\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Easton on 2015/09/13 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/09/13\", \"Easton\"], [\"where did I go for the date on 2015/09/13\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7691\", \"logical_representation\": [\"2015/09/13\", \"I went grocery shopping with Kayden, Emily, Andrew. I bought some apricots, guava, raspberries, guava juice, coffee, and toothpaste, body lotion\", \"apricots, guava, raspberries\", \"guava juice, coffee\", \"toothpaste, body lotion\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping with Kayden, Emily, Andrew. I bought some apricots, guava, raspberries, guava juice, coffee, and toothpaste, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/09/13?\", \"apricots, guava, raspberries, guava juice, coffee, and toothpaste, body lotion\"], [\"what fruits did I buy from the grocery store on 2015/09/13?\", \"apricots, guava, raspberries\"], [\"what drinks did I buy from the grocery store on 2015/09/13?\", \"guava juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2015/09/13?\", \"toothpaste, body lotion\"], [\"who was with me at the grocery store on 2015/09/13?\", \"Kayden, Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8695\", \"logical_representation\": [\"2015/09/13\", \"Nevaeh, Rylee, Piper\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Nevaeh, Rylee, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Piper in the early afternoon on 2015/09/13?\", \"46 minutes\"], [\"who did I talk to on 2015/09/13?\", \"Nevaeh, Rylee, Piper\"], [\"Did I talk to Nevaeh, Rylee, Piper on 2015/09/13?\", \"yes\"], [\"Did I talk to anyone on 2015/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/15\": {\"hobbies\": {\"eid\": \"e7690\", \"logical_representation\": [\"2015/09/15\", \"I spent time yoga on 2015/09/15 with Rylee, Hazel, Piper.\", \"yoga\", \"Rylee, Hazel, Piper\"], \"text_template_based\": \"I spent time yoga on 2015/09/15 with Rylee, Hazel, Piper.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Rylee, Hazel, Piper?\", \"2015/09/15\"], [\"On 2015/09/15, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2015/09/15?\", \"Rylee, Hazel, Piper\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8700\", \"logical_representation\": [\"2015/09/15\", \"lunch\", \"steak\", \"Eva, Lydia, Kinsley, Layla, Piper, Piper, Nevaeh, Olivia, Rylee, Nora\"], \"text_template_based\": \"I had steak for lunch with Eva, Lydia, Kinsley, Layla, Piper, Piper, Nevaeh, Olivia, Rylee, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/09/15?\", \"Eva, Lydia, Kinsley, Layla, Piper, Piper, Nevaeh, Olivia, Rylee, Nora\"], [\"what did I eat for lunch on 2015/09/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8701\", \"logical_representation\": [\"2015/09/15\", \"Nora\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2015/09/15?\", \"7 minutes\"], [\"who did I talk to on 2015/09/15?\", \"Nora\"], [\"Did I talk to Nora on 2015/09/15?\", \"yes\"], [\"Did I talk to anyone on 2015/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8702\", \"logical_representation\": [\"2015/09/15\", \"a documentary\", \"19 minutes\"], \"text_template_based\": \"I watched a documentary for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/15?\", \"19 minutes\"], [\"what did I watch on tv on 2015/09/15?\", \"a documentary\"], [\"Did I watch tv on 2015/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/20\": {\"dating\": {\"eid\": \"e7692\", \"logical_representation\": [\"2015/09/20\", \"Luca\", \"a park\"], \"text_template_based\": \"I went on a date with Luca on 2015/09/20 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/09/20\", \"Luca\"], [\"where did I go for the date on 2015/09/20\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8722\", \"logical_representation\": [\"2015/09/20\", \"breakfast\", \"cereals\", \"Jackson, Avery\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8723\", \"logical_representation\": [\"2015/09/20\", \"dinner\", \"a burger\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/20\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/09/27\": {\"cook\": {\"eid\": \"e7693\", \"logical_representation\": [\"2015/09/27\", \"I was cooking au gratin peas and potatoes, split pea soup with ham & jalapeno, sushi on 2015/09/27 with Avery, Kinsley, Piper at my place\", \"cook\", \"au gratin peas and potatoes, split pea soup with ham & jalapeno, sushi\", \"Avery, Kinsley, Piper\", \"my place\"], \"text_template_based\": \"I was cooking au gratin peas and potatoes, split pea soup with ham & jalapeno, sushi on 2015/09/27 with Avery, Kinsley, Piper at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  au gratin peas and potatoes, split pea soup with ham & jalapeno, sushi with Avery, Kinsley, Piper?\", \"2015/09/27\"], [\"what did I  on 2015/09/27?\", \"au gratin peas and potatoes, split pea soup with ham & jalapeno, sushi\"], [\"who was I with when I  au gratin peas and potatoes, split pea soup with ham & jalapeno, sushi on 2015/09/27?\", \"Avery, Kinsley, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8742\", \"logical_representation\": [\"2015/09/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/09/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8743\", \"logical_representation\": [\"2015/09/27\", \"breakfast\", \"pancakes\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8744\", \"logical_representation\": [\"2015/09/27\", \"lunch\", \"steak\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had lunch with Benjamin, Jackson, Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/09/27?\", \"Benjamin, Jackson, Avery\"], [\"what did I eat for lunch on 2015/09/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8745\", \"logical_representation\": [\"2015/09/27\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/09/27?\", \"44 minutes\"], [\"what did I read on 2015/09/27?\", \"social media\"], [\"Did I read on 2015/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8746\", \"logical_representation\": [\"2015/09/27\", \"a movie\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/27?\", \"34 minutes\"], [\"what did I watch on tv on 2015/09/27?\", \"a movie\"], [\"Did I watch tv on 2015/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/28\": {\"dating\": {\"eid\": \"e7694\", \"logical_representation\": [\"2015/09/28\", \"Nathan\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Nathan on 2015/09/28 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/09/28\", \"Nathan\"], [\"where did I go for the date on 2015/09/28\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8747\", \"logical_representation\": [\"2015/09/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/09/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8748\", \"logical_representation\": [\"2015/09/28\", \"lunch\", \"indian food\", \"Avery, Nora, Rylee, Olivia, Piper, Hazel, Eva, Nevaeh, Piper, Claire, Lydia\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/09/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8749\", \"logical_representation\": [\"2015/09/28\", \"dinner\", \"pasta\", \"Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/28\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8750\", \"logical_representation\": [\"2015/09/28\", \"a documentary\", \"12 minutes\"], \"text_template_based\": \"I watched a documentary for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/28?\", \"12 minutes\"], [\"what did I watch on tv on 2015/09/28?\", \"a documentary\"], [\"Did I watch tv on 2015/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/24\": {\"grocery\": {\"eid\": \"e7695\", \"logical_representation\": [\"2015/09/24\", \"I went grocery shopping with Nevaeh, Claire, Lydia, Layla. I bought some guava, blackberries, apples, raspberries, coffee, sports drinks, and toothbrush\", \"guava, blackberries, apples, raspberries\", \"coffee, sports drinks\", \"toothbrush\", \"Nevaeh, Claire, Lydia, Layla\"], \"text_template_based\": \"I went grocery shopping with Nevaeh, Claire, Lydia, Layla. I bought some guava, blackberries, apples, raspberries, coffee, sports drinks, and toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/09/24?\", \"guava, blackberries, apples, raspberries, coffee, sports drinks, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2015/09/24?\", \"guava, blackberries, apples, raspberries\"], [\"what drinks did I buy from the grocery store on 2015/09/24?\", \"coffee, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2015/09/24?\", \"toothbrush\"], [\"who was with me at the grocery store on 2015/09/24?\", \"Nevaeh, Claire, Lydia, Layla\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8736\", \"logical_representation\": [\"2015/09/24\", \"breakfast\", \"oatmeal\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8737\", \"logical_representation\": [\"2015/09/24\", \"dinner\", \"pasta\", \"Nevaeh, Claire\"], \"text_template_based\": \"I had pasta for dinner with Nevaeh, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/09/24?\", \"Nevaeh, Claire\"], [\"what did I eat for dinner on 2015/09/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8738\", \"logical_representation\": [\"2015/09/24\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/24?\", \"9 minutes\"], [\"what did I watch on tv on 2015/09/24?\", \"a tv series\"], [\"Did I watch tv on 2015/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/03\": {\"dating\": {\"eid\": \"e7696\", \"logical_representation\": [\"2015/10/03\", \"Anna\", \"a boba shop\"], \"text_template_based\": \"On 2015/10/03, I took Anna on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/10/03\", \"Anna\"], [\"where did I go for the date on 2015/10/03\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e7697\", \"logical_representation\": [\"2015/10/03\", \"I really enjoyed meditation on 2015/10/03\", \"meditation\", \"Benjamin\"], \"text_template_based\": \"I really enjoyed meditation on 2015/10/03\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2015/10/03\"], [\"On 2015/10/03, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8763\", \"logical_representation\": [\"2015/10/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/10/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2015/10/06\": {\"hobbies\": {\"eid\": \"e7698\", \"logical_representation\": [\"2015/10/06\", \"I spent time meditation on 2015/10/06 with Carter, Emily, Kayden.\", \"meditation\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I spent time meditation on 2015/10/06 with Carter, Emily, Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Carter, Emily, Kayden?\", \"2015/10/06\"], [\"On 2015/10/06, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2015/10/06?\", \"Carter, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8772\", \"logical_representation\": [\"2015/10/06\", \"lunch\", \"indian food\", \"Benjamin\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/10/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8773\", \"logical_representation\": [\"2015/10/06\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/10/06?\", \"51 minutes\"], [\"what did I read on 2015/10/06?\", \"a book\"], [\"Did I read on 2015/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/01\": {\"grocery\": {\"eid\": \"e7699\", \"logical_representation\": [\"2015/10/01\", \"I bought some nectarines, clementines, cherres, pears, sports drinks, toilet paper, body lotion online.\", \"nectarines, clementines, cherres, pears\", \"sports drinks\", \"toilet paper, body lotion\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I bought some nectarines, clementines, cherres, pears, sports drinks, toilet paper, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/10/01?\", \"nectarines, clementines, cherres, pears, sports drinks, and toilet paper, body lotion\"], [\"what fruits did I buy online on 2015/10/01?\", \"nectarines, clementines, cherres, pears\"], [\"what drinks did I buy online on 2015/10/01?\", \"sports drinks\"], [\"what toiletries did I buy online on 2015/10/01?\", \"toilet paper, body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8758\", \"logical_representation\": [\"2015/10/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/10/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8759\", \"logical_representation\": [\"2015/10/01\", \"breakfast\", \"cereals\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had cereals for breakfast with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/10/01?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2015/10/01\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2015/10/07\": {\"grocery\": {\"eid\": \"e7700\", \"logical_representation\": [\"2015/10/07\", \"I bought some blackberries, mangos, sports drinks, orange juice, shaving cream online.\", \"blackberries, mangos\", \"sports drinks, orange juice\", \"shaving cream\", \"Jackson, Avery\"], \"text_template_based\": \"I bought some blackberries, mangos, sports drinks, orange juice, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/10/07?\", \"blackberries, mangos, sports drinks, orange juice, and shaving cream\"], [\"what fruits did I buy online on 2015/10/07?\", \"blackberries, mangos\"], [\"what drinks did I buy online on 2015/10/07?\", \"sports drinks, orange juice\"], [\"what toiletries did I buy online on 2015/10/07?\", \"shaving cream\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8774\", \"logical_representation\": [\"2015/10/07\", \"lunch\", \"sushi\", \"Willow, Jackson\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/10/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8775\", \"logical_representation\": [\"2015/10/07\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/10/07?\", \"16 minutes\"], [\"what did I read on 2015/10/07?\", \"news\"], [\"Did I read on 2015/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8776\", \"logical_representation\": [\"2015/10/07\", \"a tv series\", \"41 minutes\"], \"text_template_based\": \"I watched a tv series for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/07?\", \"41 minutes\"], [\"what did I watch on tv on 2015/10/07?\", \"a tv series\"], [\"Did I watch tv on 2015/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/10\": {\"cook\": {\"eid\": \"e7701\", \"logical_representation\": [\"2015/10/10\", \"I really enjoyed cooking crockpot spareribs, chicken cordon bleu skillet on 2015/10/10 with Willow, Jackson, Avery at my place\", \"cook\", \"crockpot spareribs, chicken cordon bleu skillet\", \"Willow, Jackson, Avery\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking crockpot spareribs, chicken cordon bleu skillet on 2015/10/10 with Willow, Jackson, Avery at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  crockpot spareribs, chicken cordon bleu skillet with Willow, Jackson, Avery?\", \"2015/10/10\"], [\"what did I  on 2015/10/10?\", \"crockpot spareribs, chicken cordon bleu skillet\"], [\"who was I with when I  crockpot spareribs, chicken cordon bleu skillet on 2015/10/10?\", \"Willow, Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7702\", \"logical_representation\": [\"2015/10/10\", \"I went grocery shopping with Andrew, Kayden. I bought some nectarines, strawberries, watermelons, apples, coffee, and shaving cream, body lotion\", \"nectarines, strawberries, watermelons, apples\", \"coffee\", \"shaving cream, body lotion\", \"Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping with Andrew, Kayden. I bought some nectarines, strawberries, watermelons, apples, coffee, and shaving cream, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/10/10?\", \"nectarines, strawberries, watermelons, apples, coffee, and shaving cream, body lotion\"], [\"what fruits did I buy from the grocery store on 2015/10/10?\", \"nectarines, strawberries, watermelons, apples\"], [\"what drinks did I buy from the grocery store on 2015/10/10?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2015/10/10?\", \"shaving cream, body lotion\"], [\"who was with me at the grocery store on 2015/10/10?\", \"Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8784\", \"logical_representation\": [\"2015/10/10\", \"lunch\", \"tacos\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Kayden, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/10/10?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2015/10/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8785\", \"logical_representation\": [\"2015/10/10\", \"Claire, Layla, Rylee, Piper\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Claire, Layla, Rylee, Piper for 6 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Rylee, Piper in the early afternoon on 2015/10/10?\", \"6 minutes\"], [\"who did I talk to on 2015/10/10?\", \"Claire, Layla, Rylee, Piper\"], [\"Did I talk to Claire, Layla, Rylee, Piper on 2015/10/10?\", \"yes\"], [\"Did I talk to anyone on 2015/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8786\", \"logical_representation\": [\"2015/10/10\", \"Avery, Hazel, Layla\", \"in the late afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Avery, Hazel, Layla for 31 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Layla in the late afternoon on 2015/10/10?\", \"31 minutes\"], [\"who did I talk to on 2015/10/10?\", \"Avery, Hazel, Layla\"], [\"Did I talk to Avery, Hazel, Layla on 2015/10/10?\", \"yes\"], [\"Did I talk to anyone on 2015/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8787\", \"logical_representation\": [\"2015/10/10\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/10/10?\", \"49 minutes\"], [\"what did I read on 2015/10/10?\", \"a book\"], [\"Did I read on 2015/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8788\", \"logical_representation\": [\"2015/10/10\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/10?\", \"26 minutes\"], [\"what did I watch on tv on 2015/10/10?\", \"a documentary\"], [\"Did I watch tv on 2015/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/17\": {\"hobbies\": {\"eid\": \"e7703\", \"logical_representation\": [\"2015/10/17\", \"I spent time gardening on 2015/10/17 with Kayden, Emily.\", \"gardening\", \"Kayden, Emily\"], \"text_template_based\": \"I spent time gardening on 2015/10/17 with Kayden, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Kayden, Emily?\", \"2015/10/17\"], [\"On 2015/10/17, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2015/10/17?\", \"Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8818\", \"logical_representation\": [\"2015/10/17\", \"lunch\", \"fish and chips\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/10/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8819\", \"logical_representation\": [\"2015/10/17\", \"Kinsley, Nora, Piper, Claire\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Kinsley, Nora, Piper, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Piper, Claire in the early evening on 2015/10/17?\", \"6 minutes\"], [\"who did I talk to on 2015/10/17?\", \"Kinsley, Nora, Piper, Claire\"], [\"Did I talk to Kinsley, Nora, Piper, Claire on 2015/10/17?\", \"yes\"], [\"Did I talk to anyone on 2015/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8820\", \"logical_representation\": [\"2015/10/17\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/10/17?\", \"55 minutes\"], [\"what did I read on 2015/10/17?\", \"social media\"], [\"Did I read on 2015/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/20\": {\"grocery\": {\"eid\": \"e7704\", \"logical_representation\": [\"2015/10/20\", \"I bought some peaches, raspberries, watermelons, pears, apple juice, mineral water, body lotion, toothpaste online.\", \"peaches, raspberries, watermelons, pears\", \"apple juice, mineral water\", \"body lotion, toothpaste\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I bought some peaches, raspberries, watermelons, pears, apple juice, mineral water, body lotion, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/10/20?\", \"peaches, raspberries, watermelons, pears, apple juice, mineral water, and body lotion, toothpaste\"], [\"what fruits did I buy online on 2015/10/20?\", \"peaches, raspberries, watermelons, pears\"], [\"what drinks did I buy online on 2015/10/20?\", \"apple juice, mineral water\"], [\"what toiletries did I buy online on 2015/10/20?\", \"body lotion, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8828\", \"logical_representation\": [\"2015/10/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/10/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2015/10/24\": {\"hobbies\": {\"eid\": \"e7705\", \"logical_representation\": [\"2015/10/24\", \"I spent some time yoga on 2015/10/24.\", \"yoga\", \"Benjamin\"], \"text_template_based\": \"I spent some time yoga on 2015/10/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2015/10/24\"], [\"On 2015/10/24, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8836\", \"logical_representation\": [\"2015/10/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/10/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8837\", \"logical_representation\": [\"2015/10/24\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/10/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8838\", \"logical_representation\": [\"2015/10/24\", \"dinner\", \"sushi\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8839\", \"logical_representation\": [\"2015/10/24\", \"Eva\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2015/10/24?\", \"22 minutes\"], [\"who did I talk to on 2015/10/24?\", \"Eva\"], [\"Did I talk to Eva on 2015/10/24?\", \"yes\"], [\"Did I talk to anyone on 2015/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/04\": {\"hobbies\": {\"eid\": \"e7706\", \"logical_representation\": [\"2015/11/04\", \"I spent some time working out on 2015/11/04.\", \"working out\", \"Piper, Kinsley, Piper\"], \"text_template_based\": \"I spent some time working out on 2015/11/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2015/11/04\"], [\"On 2015/11/04, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8873\", \"logical_representation\": [\"2015/11/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/11/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8874\", \"logical_representation\": [\"2015/11/04\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/11/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8875\", \"logical_representation\": [\"2015/11/04\", \"Nora, Claire\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Nora, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire during lunch hours on 2015/11/04?\", \"28 minutes\"], [\"who did I talk to on 2015/11/04?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2015/11/04?\", \"yes\"], [\"Did I talk to anyone on 2015/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8876\", \"logical_representation\": [\"2015/11/04\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/11/04?\", \"39 minutes\"], [\"what did I read on 2015/11/04?\", \"news\"], [\"Did I read on 2015/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/03\": {\"grocery\": {\"eid\": \"e7707\", \"logical_representation\": [\"2015/11/03\", \"I went grocery shopping with Emily. I bought some oranges, tea, coffee, and conditioner, shaving cream\", \"oranges\", \"tea, coffee\", \"conditioner, shaving cream\", \"Emily\"], \"text_template_based\": \"I went grocery shopping with Emily. I bought some oranges, tea, coffee, and conditioner, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/11/03?\", \"oranges, tea, coffee, and conditioner, shaving cream\"], [\"what fruits did I buy from the grocery store on 2015/11/03?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2015/11/03?\", \"tea, coffee\"], [\"what toiletries did I buy from the grocery store on 2015/11/03?\", \"conditioner, shaving cream\"], [\"who was with me at the grocery store on 2015/11/03?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8868\", \"logical_representation\": [\"2015/11/03\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/11/03?\", \"Emily\"], [\"what did I eat for breakfast on 2015/11/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8869\", \"logical_representation\": [\"2015/11/03\", \"lunch\", \"tacos\", \"Lydia, Nevaeh, Piper\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/11/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8870\", \"logical_representation\": [\"2015/11/03\", \"dinner\", \"chinese food\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/11/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8871\", \"logical_representation\": [\"2015/11/03\", \"Eva\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2015/11/03?\", \"9 minutes\"], [\"who did I talk to on 2015/11/03?\", \"Eva\"], [\"Did I talk to Eva on 2015/11/03?\", \"yes\"], [\"Did I talk to anyone on 2015/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8872\", \"logical_representation\": [\"2015/11/03\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/11/03?\", \"50 minutes\"], [\"what did I read on 2015/11/03?\", \"news\"], [\"Did I read on 2015/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/08\": {\"grocery\": {\"eid\": \"e7708\", \"logical_representation\": [\"2015/11/08\", \"I bought some nectarines, pears, apples, blackberries, orange juice, sports drinks, pineapple juice, body lotion, shampoo from the grocery store. I saw Piper, Rylee, Claire, Nora, Kinsley, Olivia, Piper, Eva, Lydia, Nevaeh, Avery at the grocery store.\", \"nectarines, pears, apples, blackberries\", \"orange juice, sports drinks, pineapple juice\", \"body lotion, shampoo\", \"Piper, Rylee, Claire, Nora, Kinsley, Olivia, Piper, Eva, Lydia, Nevaeh, Avery\"], \"text_template_based\": \"I bought some nectarines, pears, apples, blackberries, orange juice, sports drinks, pineapple juice, body lotion, shampoo from the grocery store. I saw Piper, Rylee, Claire, Nora, Kinsley, Olivia, Piper, Eva, Lydia, Nevaeh, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/11/08?\", \"nectarines, pears, apples, blackberries, orange juice, sports drinks, pineapple juice, and body lotion, shampoo\"], [\"what fruits did I buy from the grocery store on 2015/11/08?\", \"nectarines, pears, apples, blackberries\"], [\"what drinks did I buy from the grocery store on 2015/11/08?\", \"orange juice, sports drinks, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2015/11/08?\", \"body lotion, shampoo\"], [\"who did I see at the grocery store on 2015/11/08?\", \"Piper, Rylee, Claire, Nora, Kinsley, Olivia, Piper, Eva, Lydia, Nevaeh, Avery\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8890\", \"logical_representation\": [\"2015/11/08\", \"lunch\", \"a burger\", \"Andrew, Carter\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/11/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8891\", \"logical_representation\": [\"2015/11/08\", \"dinner\", \"a burger\", \"Eva, Piper\"], \"text_template_based\": \"I had dinner with Eva, Piper. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/11/08?\", \"Eva, Piper\"], [\"what did I eat for dinner on 2015/11/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8892\", \"logical_representation\": [\"2015/11/08\", \"Claire\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2015/11/08?\", \"31 minutes\"], [\"who did I talk to on 2015/11/08?\", \"Claire\"], [\"Did I talk to Claire on 2015/11/08?\", \"yes\"], [\"Did I talk to anyone on 2015/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8893\", \"logical_representation\": [\"2015/11/08\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/11/08?\", \"53 minutes\"], [\"what did I read on 2015/11/08?\", \"a book\"], [\"Did I read on 2015/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8894\", \"logical_representation\": [\"2015/11/08\", \"news\", \"11 minutes\"], \"text_template_based\": \"I watched news for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/08?\", \"11 minutes\"], [\"what did I watch on tv on 2015/11/08?\", \"news\"], [\"Did I watch tv on 2015/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/16\": {\"bake\": {\"eid\": \"e7709\", \"logical_representation\": [\"2015/11/16\", \"I really enjoyed baking easy peanut butter fudge on 2015/11/16 with Avery, Lydia at my place\", \"bake\", \"easy peanut butter fudge\", \"Avery, Lydia\", \"my place\"], \"text_template_based\": \"I really enjoyed baking easy peanut butter fudge on 2015/11/16 with Avery, Lydia at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  easy peanut butter fudge with Avery, Lydia?\", \"2015/11/16\"], [\"what did I  on 2015/11/16?\", \"easy peanut butter fudge\"], [\"who was I with when I  easy peanut butter fudge on 2015/11/16?\", \"Avery, Lydia\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8920\", \"logical_representation\": [\"2015/11/16\", \"Hazel, Kinsley, Eva\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Hazel, Kinsley, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley, Eva in the late afternoon on 2015/11/16?\", \"12 minutes\"], [\"who did I talk to on 2015/11/16?\", \"Hazel, Kinsley, Eva\"], [\"Did I talk to Hazel, Kinsley, Eva on 2015/11/16?\", \"yes\"], [\"Did I talk to anyone on 2015/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8921\", \"logical_representation\": [\"2015/11/16\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/11/16?\", \"9 minutes\"], [\"what did I read on 2015/11/16?\", \"news\"], [\"Did I read on 2015/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/13\": {\"dating\": {\"eid\": \"e7710\", \"logical_representation\": [\"2015/11/13\", \"Lily\", \"a park\"], \"text_template_based\": \"I went on a date with Lily on 2015/11/13 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/11/13\", \"Lily\"], [\"where did I go for the date on 2015/11/13\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7712\", \"logical_representation\": [\"2015/11/13\", \"I went grocery shopping. I bought some apples, apple juice, milk, chocolate milk, coffee, and mouthwash\", \"apples\", \"apple juice, milk, chocolate milk, coffee\", \"mouthwash\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, apple juice, milk, chocolate milk, coffee, and mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/11/13?\", \"apples, apple juice, milk, chocolate milk, coffee, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2015/11/13?\", \"apples\"], [\"what drinks did I buy from the grocery store on 2015/11/13?\", \"apple juice, milk, chocolate milk, coffee\"], [\"what toiletries did I buy from the grocery store on 2015/11/13?\", \"mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8907\", \"logical_representation\": [\"2015/11/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/11/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8908\", \"logical_representation\": [\"2015/11/13\", \"breakfast\", \"toast and cheese\", \"Nevaeh, Hazel, Nora, Avery, Rylee, Piper, Lydia\"], \"text_template_based\": \"I had breakfast with Nevaeh, Hazel, Nora, Avery, Rylee, Piper, Lydia. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/11/13?\", \"Nevaeh, Hazel, Nora, Avery, Rylee, Piper, Lydia\"], [\"what did I eat for breakfast on 2015/11/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8909\", \"logical_representation\": [\"2015/11/13\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/11/13?\", \"54 minutes\"], [\"what did I read on 2015/11/13?\", \"a book\"], [\"Did I read on 2015/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8910\", \"logical_representation\": [\"2015/11/13\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I watched a tv series for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/13?\", \"42 minutes\"], [\"what did I watch on tv on 2015/11/13?\", \"a tv series\"], [\"Did I watch tv on 2015/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/18\": {\"hobbies\": {\"eid\": \"e7711\", \"logical_representation\": [\"2015/11/18\", \"I spent time yoga on 2015/11/18 with Benjamin, Jackson, Avery.\", \"yoga\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I spent time yoga on 2015/11/18 with Benjamin, Jackson, Avery.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Benjamin, Jackson, Avery?\", \"2015/11/18\"], [\"On 2015/11/18, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2015/11/18?\", \"Benjamin, Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8926\", \"logical_representation\": [\"2015/11/18\", \"lunch\", \"indian food\", \"Olivia, Piper, Rylee, Claire, Hazel, Eva, Nora, Piper\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/11/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8927\", \"logical_representation\": [\"2015/11/18\", \"Claire, Rylee, Kinsley, Piper\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I talked to Claire, Rylee, Kinsley, Piper for 46 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Kinsley, Piper during lunch hours on 2015/11/18?\", \"46 minutes\"], [\"who did I talk to on 2015/11/18?\", \"Claire, Rylee, Kinsley, Piper\"], [\"Did I talk to Claire, Rylee, Kinsley, Piper on 2015/11/18?\", \"yes\"], [\"Did I talk to anyone on 2015/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8928\", \"logical_representation\": [\"2015/11/18\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/11/18?\", \"30 minutes\"], [\"what did I read on 2015/11/18?\", \"a book\"], [\"Did I read on 2015/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8929\", \"logical_representation\": [\"2015/11/18\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I watched a documentary for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/18?\", \"10 minutes\"], [\"what did I watch on tv on 2015/11/18?\", \"a documentary\"], [\"Did I watch tv on 2015/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/21\": {\"grocery\": {\"eid\": \"e7713\", \"logical_representation\": [\"2015/11/21\", \"I bought some blackberries, peaches, mango juice, paper towel from the grocery store. I saw Nevaeh, Nora, Kinsley, Olivia, Avery, Claire, Layla, Hazel, Rylee, Lydia, Piper, Piper, Eva at the grocery store.\", \"blackberries, peaches\", \"mango juice\", \"paper towel\", \"Nevaeh, Nora, Kinsley, Olivia, Avery, Claire, Layla, Hazel, Rylee, Lydia, Piper, Piper, Eva\"], \"text_template_based\": \"I bought some blackberries, peaches, mango juice, paper towel from the grocery store. I saw Nevaeh, Nora, Kinsley, Olivia, Avery, Claire, Layla, Hazel, Rylee, Lydia, Piper, Piper, Eva at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/11/21?\", \"blackberries, peaches, mango juice, and paper towel\"], [\"what fruits did I buy from the grocery store on 2015/11/21?\", \"blackberries, peaches\"], [\"what drinks did I buy from the grocery store on 2015/11/21?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2015/11/21?\", \"paper towel\"], [\"who did I see at the grocery store on 2015/11/21?\", \"Nevaeh, Nora, Kinsley, Olivia, Avery, Claire, Layla, Hazel, Rylee, Lydia, Piper, Piper, Eva\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8939\", \"logical_representation\": [\"2015/11/21\", \"lunch\", \"tacos\", \"Eva, Rylee\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/11/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8940\", \"logical_representation\": [\"2015/11/21\", \"Claire, Avery, Nora, Lydia\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Claire, Avery, Nora, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Nora, Lydia late in the evening on 2015/11/21?\", \"17 minutes\"], [\"who did I talk to on 2015/11/21?\", \"Claire, Avery, Nora, Lydia\"], [\"Did I talk to Claire, Avery, Nora, Lydia on 2015/11/21?\", \"yes\"], [\"Did I talk to anyone on 2015/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8941\", \"logical_representation\": [\"2015/11/21\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/21?\", \"30 minutes\"], [\"what did I watch on tv on 2015/11/21?\", \"news\"], [\"Did I watch tv on 2015/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/27\": {\"dating\": {\"eid\": \"e7714\", \"logical_representation\": [\"2015/11/27\", \"Henry\", \"a restaurant\"], \"text_template_based\": \"On 2015/11/27, I took Henry on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/11/27\", \"Henry\"], [\"where did I go for the date on 2015/11/27\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8958\", \"logical_representation\": [\"2015/11/27\", \"breakfast\", \"pancakes\", \"Nora, Kinsley, Eva, Olivia, Hazel, Piper, Nevaeh, Avery, Layla\"], \"text_template_based\": \"I had pancakes for breakfast with Nora, Kinsley, Eva, Olivia, Hazel, Piper, Nevaeh, Avery, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/11/27?\", \"Nora, Kinsley, Eva, Olivia, Hazel, Piper, Nevaeh, Avery, Layla\"], [\"what did I eat for breakfast on 2015/11/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8959\", \"logical_representation\": [\"2015/11/27\", \"dinner\", \"a burger\", \"Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/11/27\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/12/01\": {\"dating\": {\"eid\": \"e7715\", \"logical_representation\": [\"2015/12/01\", \"Grace\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Grace on 2015/12/01 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/12/01\", \"Grace\"], [\"where did I go for the date on 2015/12/01\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8973\", \"logical_representation\": [\"2015/12/01\", \"lunch\", \"pasta\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had pasta for lunch with Kayden, Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/12/01?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2015/12/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8974\", \"logical_representation\": [\"2015/12/01\", \"Piper, Nevaeh, Piper, Lydia\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Piper, Lydia for 7 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Piper, Lydia in the morning on 2015/12/01?\", \"7 minutes\"], [\"who did I talk to on 2015/12/01?\", \"Piper, Nevaeh, Piper, Lydia\"], [\"Did I talk to Piper, Nevaeh, Piper, Lydia on 2015/12/01?\", \"yes\"], [\"Did I talk to anyone on 2015/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8975\", \"logical_representation\": [\"2015/12/01\", \"Olivia\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2015/12/01?\", \"35 minutes\"], [\"who did I talk to on 2015/12/01?\", \"Olivia\"], [\"Did I talk to Olivia on 2015/12/01?\", \"yes\"], [\"Did I talk to anyone on 2015/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8976\", \"logical_representation\": [\"2015/12/01\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I watched a documentary for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/01?\", \"26 minutes\"], [\"what did I watch on tv on 2015/12/01?\", \"a documentary\"], [\"Did I watch tv on 2015/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/28\": {\"grocery\": {\"eid\": \"e7716\", \"logical_representation\": [\"2015/11/28\", \"I went grocery shopping with Claire, Kinsley, Eva, Layla, Nevaeh. I bought some raspberries, peaches, watermelons, orange juice, sports drinks, apple juice, guava juice, and toilet paper, conditioner, paper towel\", \"raspberries, peaches, watermelons\", \"orange juice, sports drinks, apple juice, guava juice\", \"toilet paper, conditioner, paper towel\", \"Claire, Kinsley, Eva, Layla, Nevaeh\"], \"text_template_based\": \"I went grocery shopping with Claire, Kinsley, Eva, Layla, Nevaeh. I bought some raspberries, peaches, watermelons, orange juice, sports drinks, apple juice, guava juice, and toilet paper, conditioner, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/11/28?\", \"raspberries, peaches, watermelons, orange juice, sports drinks, apple juice, guava juice, and toilet paper, conditioner, paper towel\"], [\"what fruits did I buy from the grocery store on 2015/11/28?\", \"raspberries, peaches, watermelons\"], [\"what drinks did I buy from the grocery store on 2015/11/28?\", \"orange juice, sports drinks, apple juice, guava juice\"], [\"what toiletries did I buy from the grocery store on 2015/11/28?\", \"toilet paper, conditioner, paper towel\"], [\"who was with me at the grocery store on 2015/11/28?\", \"Claire, Kinsley, Eva, Layla, Nevaeh\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8960\", \"logical_representation\": [\"2015/11/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/11/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8961\", \"logical_representation\": [\"2015/11/28\", \"breakfast\", \"pancakes\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Emily, Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/11/28?\", \"Kayden, Emily, Carter\"], [\"what did I eat for breakfast on 2015/11/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8962\", \"logical_representation\": [\"2015/11/28\", \"lunch\", \"chinese food\", \"Eva, Nora, Avery, Claire, Lydia, Layla\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/11/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8963\", \"logical_representation\": [\"2015/11/28\", \"dinner\", \"sushi\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had sushi for dinner with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/11/28?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for dinner on 2015/11/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8964\", \"logical_representation\": [\"2015/11/28\", \"Claire\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Claire for 10 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2015/11/28?\", \"10 minutes\"], [\"who did I talk to on 2015/11/28?\", \"Claire\"], [\"Did I talk to Claire on 2015/11/28?\", \"yes\"], [\"Did I talk to anyone on 2015/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8965\", \"logical_representation\": [\"2015/11/28\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I watched a documentary for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/28?\", \"54 minutes\"], [\"what did I watch on tv on 2015/11/28?\", \"a documentary\"], [\"Did I watch tv on 2015/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/02\": {\"grocery\": {\"eid\": \"e7717\", \"logical_representation\": [\"2015/12/02\", \"I went grocery shopping. I bought some apples, oranges, pineapples, guava, soda, mineral water, tea, mango juice, and facial wash\", \"apples, oranges, pineapples, guava\", \"soda, mineral water, tea, mango juice\", \"facial wash\", \"Kinsley, Claire, Nora, Olivia, Piper, Rylee, Eva, Nevaeh, Piper, Hazel, Avery, Layla\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, oranges, pineapples, guava, soda, mineral water, tea, mango juice, and facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/12/02?\", \"apples, oranges, pineapples, guava, soda, mineral water, tea, mango juice, and facial wash\"], [\"what fruits did I buy from the grocery store on 2015/12/02?\", \"apples, oranges, pineapples, guava\"], [\"what drinks did I buy from the grocery store on 2015/12/02?\", \"soda, mineral water, tea, mango juice\"], [\"what toiletries did I buy from the grocery store on 2015/12/02?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8977\", \"logical_representation\": [\"2015/12/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/12/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8978\", \"logical_representation\": [\"2015/12/02\", \"dinner\", \"chinese food\", \"Kayden, Carter\"], \"text_template_based\": \"I had chinese food for dinner with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/12/02?\", \"Kayden, Carter\"], [\"what did I eat for dinner on 2015/12/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2015/12/08\": {\"dating\": {\"eid\": \"e7718\", \"logical_representation\": [\"2015/12/08\", \"Caroline\", \"a restaurant\"], \"text_template_based\": \"On 2015/12/08, I took Caroline on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/12/08\", \"Caroline\"], [\"where did I go for the date on 2015/12/08\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9002\", \"logical_representation\": [\"2015/12/08\", \"breakfast\", \"toast and cheese\", \"Layla, Olivia, Lydia\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9003\", \"logical_representation\": [\"2015/12/08\", \"dinner\", \"pasta\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9004\", \"logical_representation\": [\"2015/12/08\", \"Kinsley, Nora\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora for 33 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora during lunch hours on 2015/12/08?\", \"33 minutes\"], [\"who did I talk to on 2015/12/08?\", \"Kinsley, Nora\"], [\"Did I talk to Kinsley, Nora on 2015/12/08?\", \"yes\"], [\"Did I talk to anyone on 2015/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9005\", \"logical_representation\": [\"2015/12/08\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/12/08?\", \"43 minutes\"], [\"what did I read on 2015/12/08?\", \"news\"], [\"Did I read on 2015/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9006\", \"logical_representation\": [\"2015/12/08\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/08?\", \"23 minutes\"], [\"what did I watch on tv on 2015/12/08?\", \"a documentary\"], [\"Did I watch tv on 2015/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/04\": {\"hobbies\": {\"eid\": \"e7719\", \"logical_representation\": [\"2015/12/04\", \"I spent some time meditation on 2015/12/04.\", \"meditation\", \"Layla, Olivia\"], \"text_template_based\": \"I spent some time meditation on 2015/12/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2015/12/04\"], [\"On 2015/12/04, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7720\", \"logical_representation\": [\"2015/12/04\", \"I bought some pears, sports drinks, conditioner, mouthwash online.\", \"pears\", \"sports drinks\", \"conditioner, mouthwash\", \"Andrew\"], \"text_template_based\": \"I bought some pears, sports drinks, conditioner, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/12/04?\", \"pears, sports drinks, and conditioner, mouthwash\"], [\"what fruits did I buy online on 2015/12/04?\", \"pears\"], [\"what drinks did I buy online on 2015/12/04?\", \"sports drinks\"], [\"what toiletries did I buy online on 2015/12/04?\", \"conditioner, mouthwash\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8984\", \"logical_representation\": [\"2015/12/04\", \"dinner\", \"steak\", \"Hazel, Nevaeh, Claire, Layla, Piper, Lydia, Kinsley, Nora\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8985\", \"logical_representation\": [\"2015/12/04\", \"Hazel\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I talked to Hazel for 44 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the morning on 2015/12/04?\", \"44 minutes\"], [\"who did I talk to on 2015/12/04?\", \"Hazel\"], [\"Did I talk to Hazel on 2015/12/04?\", \"yes\"], [\"Did I talk to anyone on 2015/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8986\", \"logical_representation\": [\"2015/12/04\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/12/04?\", \"18 minutes\"], [\"what did I read on 2015/12/04?\", \"a book\"], [\"Did I read on 2015/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8987\", \"logical_representation\": [\"2015/12/04\", \"a tv series\", \"41 minutes\"], \"text_template_based\": \"I watched a tv series for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/04?\", \"41 minutes\"], [\"what did I watch on tv on 2015/12/04?\", \"a tv series\"], [\"Did I watch tv on 2015/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/06\": {\"grocery\": {\"eid\": \"e7721\", \"logical_representation\": [\"2015/12/06\", \"I bought some pineapples, apricots, coffee, soda, facial wash online.\", \"pineapples, apricots\", \"coffee, soda\", \"facial wash\", \"Emily, Kayden\"], \"text_template_based\": \"I bought some pineapples, apricots, coffee, soda, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/12/06?\", \"pineapples, apricots, coffee, soda, and facial wash\"], [\"what fruits did I buy online on 2015/12/06?\", \"pineapples, apricots\"], [\"what drinks did I buy online on 2015/12/06?\", \"coffee, soda\"], [\"what toiletries did I buy online on 2015/12/06?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8993\", \"logical_representation\": [\"2015/12/06\", \"lunch\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had indian food for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/12/06?\", \"Carter\"], [\"what did I eat for lunch on 2015/12/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8994\", \"logical_representation\": [\"2015/12/06\", \"Claire, Olivia\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia for 41 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia in the morning on 2015/12/06?\", \"41 minutes\"], [\"who did I talk to on 2015/12/06?\", \"Claire, Olivia\"], [\"Did I talk to Claire, Olivia on 2015/12/06?\", \"yes\"], [\"Did I talk to anyone on 2015/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8995\", \"logical_representation\": [\"2015/12/06\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/06?\", \"18 minutes\"], [\"what did I watch on tv on 2015/12/06?\", \"a movie\"], [\"Did I watch tv on 2015/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/10\": {\"grocery\": {\"eid\": \"e7722\", \"logical_representation\": [\"2015/12/10\", \"I bought some apricots, guava juice, orange juice, chocolate milk, mouth wash from the grocery store. I saw Piper, Hazel, Claire, Lydia at the grocery store.\", \"apricots\", \"guava juice, orange juice, chocolate milk\", \"mouth wash\", \"Piper, Hazel, Claire, Lydia\"], \"text_template_based\": \"I bought some apricots, guava juice, orange juice, chocolate milk, mouth wash from the grocery store. I saw Piper, Hazel, Claire, Lydia at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/12/10?\", \"apricots, guava juice, orange juice, chocolate milk, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2015/12/10?\", \"apricots\"], [\"what drinks did I buy from the grocery store on 2015/12/10?\", \"guava juice, orange juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2015/12/10?\", \"mouth wash\"], [\"who did I see at the grocery store on 2015/12/10?\", \"Piper, Hazel, Claire, Lydia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9011\", \"logical_representation\": [\"2015/12/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/12/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9012\", \"logical_representation\": [\"2015/12/10\", \"dinner\", \"tacos\", \"Willow\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9013\", \"logical_representation\": [\"2015/12/10\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/12/10?\", \"17 minutes\"], [\"what did I read on 2015/12/10?\", \"a book\"], [\"Did I read on 2015/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/13\": {\"grocery\": {\"eid\": \"e7723\", \"logical_representation\": [\"2015/12/13\", \"I bought some peaches, raspberries, chocolate milk, soda, orange juice, shaving cream, facial wash, toothpaste, toothbrush online.\", \"peaches, raspberries\", \"chocolate milk, soda, orange juice\", \"shaving cream, facial wash, toothpaste, toothbrush\", \"Olivia, Avery, Nora\"], \"text_template_based\": \"I bought some peaches, raspberries, chocolate milk, soda, orange juice, shaving cream, facial wash, toothpaste, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/12/13?\", \"peaches, raspberries, chocolate milk, soda, orange juice, and shaving cream, facial wash, toothpaste, toothbrush\"], [\"what fruits did I buy online on 2015/12/13?\", \"peaches, raspberries\"], [\"what drinks did I buy online on 2015/12/13?\", \"chocolate milk, soda, orange juice\"], [\"what toiletries did I buy online on 2015/12/13?\", \"shaving cream, facial wash, toothpaste, toothbrush\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9017\", \"logical_representation\": [\"2015/12/13\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/13?\", \"Emily\"], [\"what did I eat for breakfast on 2015/12/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9018\", \"logical_representation\": [\"2015/12/13\", \"Eva\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the morning on 2015/12/13?\", \"27 minutes\"], [\"who did I talk to on 2015/12/13?\", \"Eva\"], [\"Did I talk to Eva on 2015/12/13?\", \"yes\"], [\"Did I talk to anyone on 2015/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9019\", \"logical_representation\": [\"2015/12/13\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/13?\", \"27 minutes\"], [\"what did I watch on tv on 2015/12/13?\", \"a documentary\"], [\"Did I watch tv on 2015/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/19\": {\"dating\": {\"eid\": \"e7724\", \"logical_representation\": [\"2015/12/19\", \"Abigail\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Abigail on 2015/12/19 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/12/19\", \"Abigail\"], [\"where did I go for the date on 2015/12/19\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7726\", \"logical_representation\": [\"2015/12/19\", \"I bought some watermelons, apricots, pears, strawberries, tea, mineral water, mouth wash, toilet paper, facial wash, body lotion online.\", \"watermelons, apricots, pears, strawberries\", \"tea, mineral water\", \"mouth wash, toilet paper, facial wash, body lotion\", \"Layla, Eva, Olivia, Piper\"], \"text_template_based\": \"I bought some watermelons, apricots, pears, strawberries, tea, mineral water, mouth wash, toilet paper, facial wash, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/12/19?\", \"watermelons, apricots, pears, strawberries, tea, mineral water, and mouth wash, toilet paper, facial wash, body lotion\"], [\"what fruits did I buy online on 2015/12/19?\", \"watermelons, apricots, pears, strawberries\"], [\"what drinks did I buy online on 2015/12/19?\", \"tea, mineral water\"], [\"what toiletries did I buy online on 2015/12/19?\", \"mouth wash, toilet paper, facial wash, body lotion\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9035\", \"logical_representation\": [\"2015/12/19\", \"Piper, Eva, Nora\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Nora for 41 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Nora in the early afternoon on 2015/12/19?\", \"41 minutes\"], [\"who did I talk to on 2015/12/19?\", \"Piper, Eva, Nora\"], [\"Did I talk to Piper, Eva, Nora on 2015/12/19?\", \"yes\"], [\"Did I talk to anyone on 2015/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9036\", \"logical_representation\": [\"2015/12/19\", \"Hazel, Piper, Rylee\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Rylee for 14 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Rylee during lunch hours on 2015/12/19?\", \"14 minutes\"], [\"who did I talk to on 2015/12/19?\", \"Hazel, Piper, Rylee\"], [\"Did I talk to Hazel, Piper, Rylee on 2015/12/19?\", \"yes\"], [\"Did I talk to anyone on 2015/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9037\", \"logical_representation\": [\"2015/12/19\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/12/19?\", \"8 minutes\"], [\"what did I read on 2015/12/19?\", \"news\"], [\"Did I read on 2015/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9038\", \"logical_representation\": [\"2015/12/19\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I watched a movie for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/19?\", \"5 minutes\"], [\"what did I watch on tv on 2015/12/19?\", \"a movie\"], [\"Did I watch tv on 2015/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/21\": {\"dating\": {\"eid\": \"e7725\", \"logical_representation\": [\"2015/12/21\", \"Hailey\", \"a coffee Shop\"], \"text_template_based\": \"On 2015/12/21, I took Hailey on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/12/21\", \"Hailey\"], [\"where did I go for the date on 2015/12/21\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7727\", \"logical_representation\": [\"2015/12/21\", \"I bought some blackberries, raspberries, soda, milk, tea, shampoo, toilet paper, mouthwash, mouth wash online.\", \"blackberries, raspberries\", \"soda, milk, tea\", \"shampoo, toilet paper, mouthwash, mouth wash\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I bought some blackberries, raspberries, soda, milk, tea, shampoo, toilet paper, mouthwash, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/12/21?\", \"blackberries, raspberries, soda, milk, tea, and shampoo, toilet paper, mouthwash, mouth wash\"], [\"what fruits did I buy online on 2015/12/21?\", \"blackberries, raspberries\"], [\"what drinks did I buy online on 2015/12/21?\", \"soda, milk, tea\"], [\"what toiletries did I buy online on 2015/12/21?\", \"shampoo, toilet paper, mouthwash, mouth wash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9043\", \"logical_representation\": [\"2015/12/21\", \"Rylee, Kinsley\", \"during lunch hours\", \"52 minutes\"], \"text_template_based\": \"I talked to Rylee, Kinsley for 52 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley during lunch hours on 2015/12/21?\", \"52 minutes\"], [\"who did I talk to on 2015/12/21?\", \"Rylee, Kinsley\"], [\"Did I talk to Rylee, Kinsley on 2015/12/21?\", \"yes\"], [\"Did I talk to anyone on 2015/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/27\": {\"dating\": {\"eid\": \"e7728\", \"logical_representation\": [\"2015/12/27\", \"Lillian\", \"a boba shop\"], \"text_template_based\": \"On 2015/12/27, I took Lillian on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/12/27\", \"Lillian\"], [\"where did I go for the date on 2015/12/27\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7731\", \"logical_representation\": [\"2015/12/27\", \"I bought some oranges, raspberries, mineral water, paper towel, body lotion, facial wash online.\", \"oranges, raspberries\", \"mineral water\", \"paper towel, body lotion, facial wash\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I bought some oranges, raspberries, mineral water, paper towel, body lotion, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/12/27?\", \"oranges, raspberries, mineral water, and paper towel, body lotion, facial wash\"], [\"what fruits did I buy online on 2015/12/27?\", \"oranges, raspberries\"], [\"what drinks did I buy online on 2015/12/27?\", \"mineral water\"], [\"what toiletries did I buy online on 2015/12/27?\", \"paper towel, body lotion, facial wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9066\", \"logical_representation\": [\"2015/12/27\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Jackson\"], \"text_template_based\": \"I had breakfast with Avery, Jackson. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/27?\", \"Avery, Jackson\"], [\"what did I eat for breakfast on 2015/12/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9067\", \"logical_representation\": [\"2015/12/27\", \"dinner\", \"chinese food\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had chinese food for dinner with Willow, Avery, Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/12/27?\", \"Willow, Avery, Benjamin, Jackson\"], [\"what did I eat for dinner on 2015/12/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9068\", \"logical_representation\": [\"2015/12/27\", \"Claire, Layla\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I talked to Claire, Layla for 19 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla in the morning on 2015/12/27?\", \"19 minutes\"], [\"who did I talk to on 2015/12/27?\", \"Claire, Layla\"], [\"Did I talk to Claire, Layla on 2015/12/27?\", \"yes\"], [\"Did I talk to anyone on 2015/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9069\", \"logical_representation\": [\"2015/12/27\", \"Piper, Nora\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Piper, Nora for 9 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora in the early evening on 2015/12/27?\", \"9 minutes\"], [\"who did I talk to on 2015/12/27?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2015/12/27?\", \"yes\"], [\"Did I talk to anyone on 2015/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/28\": {\"hobbies\": {\"eid\": \"e7729\", \"logical_representation\": [\"2015/12/28\", \"I spent time meditation on 2015/12/28 with Kayden.\", \"meditation\", \"Kayden\"], \"text_template_based\": \"I spent time meditation on 2015/12/28 with Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Kayden?\", \"2015/12/28\"], [\"On 2015/12/28, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2015/12/28?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9070\", \"logical_representation\": [\"2015/12/28\", \"breakfast\", \"oatmeal\", \"Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9071\", \"logical_representation\": [\"2015/12/28\", \"lunch\", \"indian food\", \"Claire, Olivia, Layla, Hazel, Lydia, Piper, Nevaeh, Kinsley, Eva, Piper, Nora, Avery, Rylee\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9072\", \"logical_representation\": [\"2015/12/28\", \"dinner\", \"tacos\", \"Carter\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9073\", \"logical_representation\": [\"2015/12/28\", \"Layla, Avery\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Layla, Avery for 48 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery in the late afternoon on 2015/12/28?\", \"48 minutes\"], [\"who did I talk to on 2015/12/28?\", \"Layla, Avery\"], [\"Did I talk to Layla, Avery on 2015/12/28?\", \"yes\"], [\"Did I talk to anyone on 2015/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9074\", \"logical_representation\": [\"2015/12/28\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/12/28?\", \"33 minutes\"], [\"what did I read on 2015/12/28?\", \"social media\"], [\"Did I read on 2015/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9075\", \"logical_representation\": [\"2015/12/28\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I watched a movie for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/28?\", \"21 minutes\"], [\"what did I watch on tv on 2015/12/28?\", \"a movie\"], [\"Did I watch tv on 2015/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/26\": {\"grocery\": {\"eid\": \"e7730\", \"logical_representation\": [\"2015/12/26\", \"I bought some strawberries, nectarines, blueberries, mangos, mango juice, pineapple juice, milk, chocolate milk, shaving cream, toothbrush online.\", \"strawberries, nectarines, blueberries, mangos\", \"mango juice, pineapple juice, milk, chocolate milk\", \"shaving cream, toothbrush\", \"Kayden, Carter\"], \"text_template_based\": \"I bought some strawberries, nectarines, blueberries, mangos, mango juice, pineapple juice, milk, chocolate milk, shaving cream, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/12/26?\", \"strawberries, nectarines, blueberries, mangos, mango juice, pineapple juice, milk, chocolate milk, and shaving cream, toothbrush\"], [\"what fruits did I buy online on 2015/12/26?\", \"strawberries, nectarines, blueberries, mangos\"], [\"what drinks did I buy online on 2015/12/26?\", \"mango juice, pineapple juice, milk, chocolate milk\"], [\"what toiletries did I buy online on 2015/12/26?\", \"shaving cream, toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9062\", \"logical_representation\": [\"2015/12/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/12/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9063\", \"logical_representation\": [\"2015/12/26\", \"breakfast\", \"cereals\", \"Rylee, Eva, Piper, Hazel, Layla, Kinsley, Olivia, Nora, Piper, Avery, Claire, Nevaeh\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9064\", \"logical_representation\": [\"2015/12/26\", \"dinner\", \"sandwich\", \"Olivia, Nora, Piper, Avery, Rylee, Hazel\"], \"text_template_based\": \"I had dinner with Olivia, Nora, Piper, Avery, Rylee, Hazel. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/12/26?\", \"Olivia, Nora, Piper, Avery, Rylee, Hazel\"], [\"what did I eat for dinner on 2015/12/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9065\", \"logical_representation\": [\"2015/12/26\", \"Rylee\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2015/12/26?\", \"25 minutes\"], [\"who did I talk to on 2015/12/26?\", \"Rylee\"], [\"Did I talk to Rylee on 2015/12/26?\", \"yes\"], [\"Did I talk to anyone on 2015/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/01\": {\"chat1\": {\"eid\": \"e7732\", \"logical_representation\": [\"2015/01/01\", \"Eva\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early evening on 2015/01/01?\", \"29 minutes\"], [\"who did I talk to on 2015/01/01?\", \"Eva\"], [\"Did I talk to Eva on 2015/01/01?\", \"yes\"], [\"Did I talk to anyone on 2015/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7733\", \"logical_representation\": [\"2015/01/01\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/01/01?\", \"17 minutes\"], [\"what did I read on 2015/01/01?\", \"news\"], [\"Did I read on 2015/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/03\": {\"exercise\": {\"eid\": \"e7739\", \"logical_representation\": [\"2015/01/03\", \"biking\"], \"text_template_based\": \"I did biking on 2015/01/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7740\", \"logical_representation\": [\"2015/01/03\", \"dinner\", \"steak\", \"Hazel, Kinsley, Piper, Claire, Lydia\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7741\", \"logical_representation\": [\"2015/01/03\", \"Piper\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I talked to Piper for 44 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2015/01/03?\", \"44 minutes\"], [\"who did I talk to on 2015/01/03?\", \"Piper\"], [\"Did I talk to Piper on 2015/01/03?\", \"yes\"], [\"Did I talk to anyone on 2015/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7742\", \"logical_representation\": [\"2015/01/03\", \"Kinsley\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Kinsley for 42 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2015/01/03?\", \"42 minutes\"], [\"who did I talk to on 2015/01/03?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2015/01/03?\", \"yes\"], [\"Did I talk to anyone on 2015/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7743\", \"logical_representation\": [\"2015/01/03\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/01/03?\", \"38 minutes\"], [\"what did I read on 2015/01/03?\", \"a book\"], [\"Did I read on 2015/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/04\": {\"exercise\": {\"eid\": \"e7744\", \"logical_representation\": [\"2015/01/04\", \"biking\"], \"text_template_based\": \"I did biking on 2015/01/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7745\", \"logical_representation\": [\"2015/01/04\", \"breakfast\", \"pancakes\", \"Layla, Hazel, Eva, Rylee, Avery, Kinsley\"], \"text_template_based\": \"I had breakfast with Layla, Hazel, Eva, Rylee, Avery, Kinsley. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/01/04?\", \"Layla, Hazel, Eva, Rylee, Avery, Kinsley\"], [\"what did I eat for breakfast on 2015/01/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7746\", \"logical_representation\": [\"2015/01/04\", \"lunch\", \"steak\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had steak for lunch with Carter, Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/01/04?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for lunch on 2015/01/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7747\", \"logical_representation\": [\"2015/01/04\", \"Eva, Nora, Layla, Nevaeh\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I talked to Eva, Nora, Layla, Nevaeh for 41 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Layla, Nevaeh in the morning on 2015/01/04?\", \"41 minutes\"], [\"who did I talk to on 2015/01/04?\", \"Eva, Nora, Layla, Nevaeh\"], [\"Did I talk to Eva, Nora, Layla, Nevaeh on 2015/01/04?\", \"yes\"], [\"Did I talk to anyone on 2015/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7748\", \"logical_representation\": [\"2015/01/04\", \"Claire, Layla, Eva\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Claire, Layla, Eva for 41 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Eva in the early evening on 2015/01/04?\", \"41 minutes\"], [\"who did I talk to on 2015/01/04?\", \"Claire, Layla, Eva\"], [\"Did I talk to Claire, Layla, Eva on 2015/01/04?\", \"yes\"], [\"Did I talk to anyone on 2015/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7749\", \"logical_representation\": [\"2015/01/04\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/04?\", \"24 minutes\"], [\"what did I watch on tv on 2015/01/04?\", \"a tv series\"], [\"Did I watch tv on 2015/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/07\": {\"exercise\": {\"eid\": \"e7758\", \"logical_representation\": [\"2015/01/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/01/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7759\", \"logical_representation\": [\"2015/01/07\", \"breakfast\", \"peanut-butter-jam\", \"Olivia, Eva, Layla\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/01/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7760\", \"logical_representation\": [\"2015/01/07\", \"lunch\", \"fish and chips\", \"Layla\"], \"text_template_based\": \"I had lunch with Layla. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/01/07?\", \"Layla\"], [\"what did I eat for lunch on 2015/01/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7761\", \"logical_representation\": [\"2015/01/07\", \"dinner\", \"sushi\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7762\", \"logical_representation\": [\"2015/01/07\", \"Rylee, Piper, Olivia, Layla\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Rylee, Piper, Olivia, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Olivia, Layla in the early afternoon on 2015/01/07?\", \"28 minutes\"], [\"who did I talk to on 2015/01/07?\", \"Rylee, Piper, Olivia, Layla\"], [\"Did I talk to Rylee, Piper, Olivia, Layla on 2015/01/07?\", \"yes\"], [\"Did I talk to anyone on 2015/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7763\", \"logical_representation\": [\"2015/01/07\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/07?\", \"46 minutes\"], [\"what did I watch on tv on 2015/01/07?\", \"a documentary\"], [\"Did I watch tv on 2015/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/10\": {\"breakfast\": {\"eid\": \"e7771\", \"logical_representation\": [\"2015/01/10\", \"breakfast\", \"pancakes\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/01/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7772\", \"logical_representation\": [\"2015/01/10\", \"lunch\", \"pasta\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/01/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7773\", \"logical_representation\": [\"2015/01/10\", \"dinner\", \"a burger\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7774\", \"logical_representation\": [\"2015/01/10\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/01/10?\", \"13 minutes\"], [\"what did I read on 2015/01/10?\", \"news\"], [\"Did I read on 2015/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7775\", \"logical_representation\": [\"2015/01/10\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I watched a tv series for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/10?\", \"37 minutes\"], [\"what did I watch on tv on 2015/01/10?\", \"a tv series\"], [\"Did I watch tv on 2015/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/11\": {\"breakfast\": {\"eid\": \"e7776\", \"logical_representation\": [\"2015/01/11\", \"breakfast\", \"cereals\", \"Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/01/11?\", \"Carter, Kayden\"], [\"what did I eat for breakfast on 2015/01/11\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7777\", \"logical_representation\": [\"2015/01/11\", \"Nevaeh, Claire\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Claire for 54 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire during lunch hours on 2015/01/11?\", \"54 minutes\"], [\"who did I talk to on 2015/01/11?\", \"Nevaeh, Claire\"], [\"Did I talk to Nevaeh, Claire on 2015/01/11?\", \"yes\"], [\"Did I talk to anyone on 2015/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7778\", \"logical_representation\": [\"2015/01/11\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/01/11?\", \"5 minutes\"], [\"what did I read on 2015/01/11?\", \"a book\"], [\"Did I read on 2015/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7779\", \"logical_representation\": [\"2015/01/11\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I watched a documentary for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/11?\", \"46 minutes\"], [\"what did I watch on tv on 2015/01/11?\", \"a documentary\"], [\"Did I watch tv on 2015/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/13\": {\"lunch\": {\"eid\": \"e7785\", \"logical_representation\": [\"2015/01/13\", \"lunch\", \"pasta\", \"Jackson, Avery\"], \"text_template_based\": \"I had pasta for lunch with Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/01/13?\", \"Jackson, Avery\"], [\"what did I eat for lunch on 2015/01/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7786\", \"logical_representation\": [\"2015/01/13\", \"dinner\", \"chinese food\", \"Piper, Olivia, Claire, Rylee, Eva\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7787\", \"logical_representation\": [\"2015/01/13\", \"Nora, Avery, Hazel, Eva\", \"during lunch hours\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Nora, Avery, Hazel, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery, Hazel, Eva during lunch hours on 2015/01/13?\", \"32 minutes\"], [\"who did I talk to on 2015/01/13?\", \"Nora, Avery, Hazel, Eva\"], [\"Did I talk to Nora, Avery, Hazel, Eva on 2015/01/13?\", \"yes\"], [\"Did I talk to anyone on 2015/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/14\": {\"exercise\": {\"eid\": \"e7788\", \"logical_representation\": [\"2015/01/14\", \"running\"], \"text_template_based\": \"I did running on 2015/01/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7789\", \"logical_representation\": [\"2015/01/14\", \"dinner\", \"steak\", \"Hazel, Rylee, Lydia, Nevaeh, Layla, Eva, Olivia, Kinsley\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7790\", \"logical_representation\": [\"2015/01/14\", \"Claire\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2015/01/14?\", \"47 minutes\"], [\"who did I talk to on 2015/01/14?\", \"Claire\"], [\"Did I talk to Claire on 2015/01/14?\", \"yes\"], [\"Did I talk to anyone on 2015/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7791\", \"logical_representation\": [\"2015/01/14\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/01/14?\", \"43 minutes\"], [\"what did I read on 2015/01/14?\", \"a book\"], [\"Did I read on 2015/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7792\", \"logical_representation\": [\"2015/01/14\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/14?\", \"43 minutes\"], [\"what did I watch on tv on 2015/01/14?\", \"a movie\"], [\"Did I watch tv on 2015/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/17\": {\"chat0\": {\"eid\": \"e7799\", \"logical_representation\": [\"2015/01/17\", \"Lydia, Piper, Hazel\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Lydia, Piper, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Hazel in the late afternoon on 2015/01/17?\", \"55 minutes\"], [\"who did I talk to on 2015/01/17?\", \"Lydia, Piper, Hazel\"], [\"Did I talk to Lydia, Piper, Hazel on 2015/01/17?\", \"yes\"], [\"Did I talk to anyone on 2015/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/18\": {\"exercise\": {\"eid\": \"e7800\", \"logical_representation\": [\"2015/01/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/01/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7801\", \"logical_representation\": [\"2015/01/18\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Carter, Kayden, Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/01/18?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2015/01/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7802\", \"logical_representation\": [\"2015/01/18\", \"lunch\", \"pasta\", \"Lydia, Avery, Piper, Layla, Nora, Piper\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/01/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7803\", \"logical_representation\": [\"2015/01/18\", \"dinner\", \"pasta\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had pasta for dinner with Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/01/18?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for dinner on 2015/01/18\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/01/19\": {\"breakfast\": {\"eid\": \"e7804\", \"logical_representation\": [\"2015/01/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/01/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7805\", \"logical_representation\": [\"2015/01/19\", \"Piper, Eva, Hazel, Piper\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Piper, Eva, Hazel, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Hazel, Piper during lunch hours on 2015/01/19?\", \"8 minutes\"], [\"who did I talk to on 2015/01/19?\", \"Piper, Eva, Hazel, Piper\"], [\"Did I talk to Piper, Eva, Hazel, Piper on 2015/01/19?\", \"yes\"], [\"Did I talk to anyone on 2015/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7806\", \"logical_representation\": [\"2015/01/19\", \"Lydia, Kinsley, Hazel, Piper\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley, Hazel, Piper for 22 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Hazel, Piper in the morning on 2015/01/19?\", \"22 minutes\"], [\"who did I talk to on 2015/01/19?\", \"Lydia, Kinsley, Hazel, Piper\"], [\"Did I talk to Lydia, Kinsley, Hazel, Piper on 2015/01/19?\", \"yes\"], [\"Did I talk to anyone on 2015/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7807\", \"logical_representation\": [\"2015/01/19\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/19?\", \"24 minutes\"], [\"what did I watch on tv on 2015/01/19?\", \"a tv series\"], [\"Did I watch tv on 2015/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/21\": {\"exercise\": {\"eid\": \"e7811\", \"logical_representation\": [\"2015/01/21\", \"running\"], \"text_template_based\": \"I did running on 2015/01/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7812\", \"logical_representation\": [\"2015/01/21\", \"lunch\", \"steak\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/01/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7813\", \"logical_representation\": [\"2015/01/21\", \"Eva, Kinsley, Claire, Avery\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley, Claire, Avery for 43 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Claire, Avery in the late afternoon on 2015/01/21?\", \"43 minutes\"], [\"who did I talk to on 2015/01/21?\", \"Eva, Kinsley, Claire, Avery\"], [\"Did I talk to Eva, Kinsley, Claire, Avery on 2015/01/21?\", \"yes\"], [\"Did I talk to anyone on 2015/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7814\", \"logical_representation\": [\"2015/01/21\", \"a book\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/01/21?\", \"21 minutes\"], [\"what did I read on 2015/01/21?\", \"a book\"], [\"Did I read on 2015/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/22\": {\"exercise\": {\"eid\": \"e7815\", \"logical_representation\": [\"2015/01/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/01/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7816\", \"logical_representation\": [\"2015/01/22\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/01/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7817\", \"logical_representation\": [\"2015/01/22\", \"lunch\", \"steak\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/01/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7818\", \"logical_representation\": [\"2015/01/22\", \"Piper, Kinsley, Avery, Nora\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Piper, Kinsley, Avery, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Avery, Nora in the early evening on 2015/01/22?\", \"35 minutes\"], [\"who did I talk to on 2015/01/22?\", \"Piper, Kinsley, Avery, Nora\"], [\"Did I talk to Piper, Kinsley, Avery, Nora on 2015/01/22?\", \"yes\"], [\"Did I talk to anyone on 2015/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7819\", \"logical_representation\": [\"2015/01/22\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/01/22?\", \"48 minutes\"], [\"what did I read on 2015/01/22?\", \"news\"], [\"Did I read on 2015/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/23\": {\"lunch\": {\"eid\": \"e7820\", \"logical_representation\": [\"2015/01/23\", \"lunch\", \"pasta\", \"Avery\"], \"text_template_based\": \"I had pasta for lunch with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/01/23?\", \"Avery\"], [\"what did I eat for lunch on 2015/01/23\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/01/24\": {\"exercise\": {\"eid\": \"e7821\", \"logical_representation\": [\"2015/01/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/01/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7822\", \"logical_representation\": [\"2015/01/24\", \"breakfast\", \"toast and cheese\", \"Piper\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/01/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7823\", \"logical_representation\": [\"2015/01/24\", \"Piper, Nora, Olivia, Eva\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Olivia, Eva for 19 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Olivia, Eva in the early evening on 2015/01/24?\", \"19 minutes\"], [\"who did I talk to on 2015/01/24?\", \"Piper, Nora, Olivia, Eva\"], [\"Did I talk to Piper, Nora, Olivia, Eva on 2015/01/24?\", \"yes\"], [\"Did I talk to anyone on 2015/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/25\": {\"breakfast\": {\"eid\": \"e7824\", \"logical_representation\": [\"2015/01/25\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/01/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7825\", \"logical_representation\": [\"2015/01/25\", \"dinner\", \"sandwich\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7826\", \"logical_representation\": [\"2015/01/25\", \"Avery, Kinsley\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Avery, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley in the early evening on 2015/01/25?\", \"32 minutes\"], [\"who did I talk to on 2015/01/25?\", \"Avery, Kinsley\"], [\"Did I talk to Avery, Kinsley on 2015/01/25?\", \"yes\"], [\"Did I talk to anyone on 2015/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7827\", \"logical_representation\": [\"2015/01/25\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/01/25?\", \"12 minutes\"], [\"what did I read on 2015/01/25?\", \"social media\"], [\"Did I read on 2015/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7828\", \"logical_representation\": [\"2015/01/25\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I watched a tv series for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/25?\", \"50 minutes\"], [\"what did I watch on tv on 2015/01/25?\", \"a tv series\"], [\"Did I watch tv on 2015/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/27\": {\"exercise\": {\"eid\": \"e7833\", \"logical_representation\": [\"2015/01/27\", \"running\"], \"text_template_based\": \"I did running on 2015/01/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7834\", \"logical_representation\": [\"2015/01/27\", \"breakfast\", \"oatmeal\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had oatmeal for breakfast with Carter, Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/01/27?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2015/01/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7835\", \"logical_representation\": [\"2015/01/27\", \"dinner\", \"indian food\", \"Kinsley, Olivia, Layla, Eva, Piper, Piper, Lydia, Hazel, Avery, Rylee, Nora, Nevaeh, Claire\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7836\", \"logical_representation\": [\"2015/01/27\", \"Piper\", \"in the early evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2015/01/27?\", \"13 minutes\"], [\"who did I talk to on 2015/01/27?\", \"Piper\"], [\"Did I talk to Piper on 2015/01/27?\", \"yes\"], [\"Did I talk to anyone on 2015/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7837\", \"logical_representation\": [\"2015/01/27\", \"Hazel, Nevaeh\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Hazel, Nevaeh for 34 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh late in the evening on 2015/01/27?\", \"34 minutes\"], [\"who did I talk to on 2015/01/27?\", \"Hazel, Nevaeh\"], [\"Did I talk to Hazel, Nevaeh on 2015/01/27?\", \"yes\"], [\"Did I talk to anyone on 2015/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7838\", \"logical_representation\": [\"2015/01/27\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/01/27?\", \"51 minutes\"], [\"what did I read on 2015/01/27?\", \"news\"], [\"Did I read on 2015/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/29\": {\"breakfast\": {\"eid\": \"e7843\", \"logical_representation\": [\"2015/01/29\", \"breakfast\", \"pancakes\", \"Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/01/29?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2015/01/29\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7844\", \"logical_representation\": [\"2015/01/29\", \"lunch\", \"sandwich\", \"Carter, Andrew\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/01/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7845\", \"logical_representation\": [\"2015/01/29\", \"dinner\", \"steak\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had steak for dinner with Avery, Willow, Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/01/29?\", \"Avery, Willow, Benjamin, Jackson\"], [\"what did I eat for dinner on 2015/01/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7846\", \"logical_representation\": [\"2015/01/29\", \"Nora, Nevaeh, Rylee\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Nora, Nevaeh, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Rylee during lunch hours on 2015/01/29?\", \"21 minutes\"], [\"who did I talk to on 2015/01/29?\", \"Nora, Nevaeh, Rylee\"], [\"Did I talk to Nora, Nevaeh, Rylee on 2015/01/29?\", \"yes\"], [\"Did I talk to anyone on 2015/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7847\", \"logical_representation\": [\"2015/01/29\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/01/29?\", \"42 minutes\"], [\"what did I read on 2015/01/29?\", \"social media\"], [\"Did I read on 2015/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/31\": {\"breakfast\": {\"eid\": \"e7852\", \"logical_representation\": [\"2015/01/31\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/01/31?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for breakfast on 2015/01/31\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7853\", \"logical_representation\": [\"2015/01/31\", \"Lydia, Rylee, Eva\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Lydia, Rylee, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Eva in the late afternoon on 2015/01/31?\", \"42 minutes\"], [\"who did I talk to on 2015/01/31?\", \"Lydia, Rylee, Eva\"], [\"Did I talk to Lydia, Rylee, Eva on 2015/01/31?\", \"yes\"], [\"Did I talk to anyone on 2015/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/04\": {\"breakfast\": {\"eid\": \"e7867\", \"logical_representation\": [\"2015/02/04\", \"breakfast\", \"cereals\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/02/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7868\", \"logical_representation\": [\"2015/02/04\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/02/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7869\", \"logical_representation\": [\"2015/02/04\", \"Avery, Lydia, Nora, Eva\", \"in the late afternoon\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Avery, Lydia, Nora, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Nora, Eva in the late afternoon on 2015/02/04?\", \"8 minutes\"], [\"who did I talk to on 2015/02/04?\", \"Avery, Lydia, Nora, Eva\"], [\"Did I talk to Avery, Lydia, Nora, Eva on 2015/02/04?\", \"yes\"], [\"Did I talk to anyone on 2015/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/05\": {\"breakfast\": {\"eid\": \"e7870\", \"logical_representation\": [\"2015/02/05\", \"breakfast\", \"cereals\", \"Willow\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/02/05\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7871\", \"logical_representation\": [\"2015/02/05\", \"lunch\", \"a burger\", \"Layla, Claire, Rylee, Nevaeh, Olivia, Hazel, Eva, Piper, Lydia, Kinsley, Piper, Nora\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7872\", \"logical_representation\": [\"2015/02/05\", \"dinner\", \"pasta\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had pasta for dinner with Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/02/05?\", \"Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2015/02/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7873\", \"logical_representation\": [\"2015/02/05\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/02/05?\", \"52 minutes\"], [\"what did I read on 2015/02/05?\", \"a book\"], [\"Did I read on 2015/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7874\", \"logical_representation\": [\"2015/02/05\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/05?\", \"50 minutes\"], [\"what did I watch on tv on 2015/02/05?\", \"news\"], [\"Did I watch tv on 2015/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/06\": {\"chat0\": {\"eid\": \"e7875\", \"logical_representation\": [\"2015/02/06\", \"Olivia, Kinsley\", \"in the early afternoon\", \"30 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley for 30 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley in the early afternoon on 2015/02/06?\", \"30 minutes\"], [\"who did I talk to on 2015/02/06?\", \"Olivia, Kinsley\"], [\"Did I talk to Olivia, Kinsley on 2015/02/06?\", \"yes\"], [\"Did I talk to anyone on 2015/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7876\", \"logical_representation\": [\"2015/02/06\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/02/06?\", \"31 minutes\"], [\"what did I read on 2015/02/06?\", \"social media\"], [\"Did I read on 2015/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/07\": {\"chat0\": {\"eid\": \"e7877\", \"logical_representation\": [\"2015/02/07\", \"Olivia, Piper, Nora\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Olivia, Piper, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Nora in the late afternoon on 2015/02/07?\", \"46 minutes\"], [\"who did I talk to on 2015/02/07?\", \"Olivia, Piper, Nora\"], [\"Did I talk to Olivia, Piper, Nora on 2015/02/07?\", \"yes\"], [\"Did I talk to anyone on 2015/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7878\", \"logical_representation\": [\"2015/02/07\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/02/07?\", \"44 minutes\"], [\"what did I read on 2015/02/07?\", \"social media\"], [\"Did I read on 2015/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7879\", \"logical_representation\": [\"2015/02/07\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I watched a movie for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/07?\", \"43 minutes\"], [\"what did I watch on tv on 2015/02/07?\", \"a movie\"], [\"Did I watch tv on 2015/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/09\": {\"exercise\": {\"eid\": \"e7885\", \"logical_representation\": [\"2015/02/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/02/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7886\", \"logical_representation\": [\"2015/02/09\", \"lunch\", \"sushi\", \"Layla, Nevaeh, Claire, Piper, Piper\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7887\", \"logical_representation\": [\"2015/02/09\", \"dinner\", \"sushi\", \"Avery, Hazel, Nevaeh, Claire, Nora, Piper, Layla, Rylee, Eva\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/02/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7888\", \"logical_representation\": [\"2015/02/09\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I watched a movie for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/09?\", \"45 minutes\"], [\"what did I watch on tv on 2015/02/09?\", \"a movie\"], [\"Did I watch tv on 2015/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/10\": {\"watch tv\": {\"eid\": \"e7889\", \"logical_representation\": [\"2015/02/10\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I watched a tv series for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/10?\", \"5 minutes\"], [\"what did I watch on tv on 2015/02/10?\", \"a tv series\"], [\"Did I watch tv on 2015/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/11\": {\"lunch\": {\"eid\": \"e7890\", \"logical_representation\": [\"2015/02/11\", \"lunch\", \"tacos\", \"Layla, Lydia, Eva, Piper, Nora\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7891\", \"logical_representation\": [\"2015/02/11\", \"Avery, Nora, Olivia\", \"during lunch hours\", \"52 minutes\"], \"text_template_based\": \"I talked to Avery, Nora, Olivia for 52 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora, Olivia during lunch hours on 2015/02/11?\", \"52 minutes\"], [\"who did I talk to on 2015/02/11?\", \"Avery, Nora, Olivia\"], [\"Did I talk to Avery, Nora, Olivia on 2015/02/11?\", \"yes\"], [\"Did I talk to anyone on 2015/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7892\", \"logical_representation\": [\"2015/02/11\", \"Kinsley\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I talked to Kinsley for 49 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the morning on 2015/02/11?\", \"49 minutes\"], [\"who did I talk to on 2015/02/11?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2015/02/11?\", \"yes\"], [\"Did I talk to anyone on 2015/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7893\", \"logical_representation\": [\"2015/02/11\", \"a movie\", \"47 minutes\"], \"text_template_based\": \"I watched a movie for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/11?\", \"47 minutes\"], [\"what did I watch on tv on 2015/02/11?\", \"a movie\"], [\"Did I watch tv on 2015/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/12\": {\"breakfast\": {\"eid\": \"e7894\", \"logical_representation\": [\"2015/02/12\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/02/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7895\", \"logical_representation\": [\"2015/02/12\", \"Hazel, Lydia\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia in the morning on 2015/02/12?\", \"30 minutes\"], [\"who did I talk to on 2015/02/12?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2015/02/12?\", \"yes\"], [\"Did I talk to anyone on 2015/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/13\": {\"dinner\": {\"eid\": \"e7896\", \"logical_representation\": [\"2015/02/13\", \"dinner\", \"tacos\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Andrew, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/02/13?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2015/02/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7897\", \"logical_representation\": [\"2015/02/13\", \"Nevaeh, Eva, Piper\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva, Piper for 33 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva, Piper in the early afternoon on 2015/02/13?\", \"33 minutes\"], [\"who did I talk to on 2015/02/13?\", \"Nevaeh, Eva, Piper\"], [\"Did I talk to Nevaeh, Eva, Piper on 2015/02/13?\", \"yes\"], [\"Did I talk to anyone on 2015/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7898\", \"logical_representation\": [\"2015/02/13\", \"Eva, Lydia, Piper, Layla\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Eva, Lydia, Piper, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Piper, Layla in the early afternoon on 2015/02/13?\", \"38 minutes\"], [\"who did I talk to on 2015/02/13?\", \"Eva, Lydia, Piper, Layla\"], [\"Did I talk to Eva, Lydia, Piper, Layla on 2015/02/13?\", \"yes\"], [\"Did I talk to anyone on 2015/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/17\": {\"lunch\": {\"eid\": \"e7910\", \"logical_representation\": [\"2015/02/17\", \"lunch\", \"sandwich\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7911\", \"logical_representation\": [\"2015/02/17\", \"Avery\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Avery for 47 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2015/02/17?\", \"47 minutes\"], [\"who did I talk to on 2015/02/17?\", \"Avery\"], [\"Did I talk to Avery on 2015/02/17?\", \"yes\"], [\"Did I talk to anyone on 2015/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7912\", \"logical_representation\": [\"2015/02/17\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/02/17?\", \"49 minutes\"], [\"what did I read on 2015/02/17?\", \"news\"], [\"Did I read on 2015/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7913\", \"logical_representation\": [\"2015/02/17\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I watched a tv series for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/17?\", \"21 minutes\"], [\"what did I watch on tv on 2015/02/17?\", \"a tv series\"], [\"Did I watch tv on 2015/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/18\": {\"exercise\": {\"eid\": \"e7914\", \"logical_representation\": [\"2015/02/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/02/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7915\", \"logical_representation\": [\"2015/02/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/02/18?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2015/02/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7916\", \"logical_representation\": [\"2015/02/18\", \"dinner\", \"tacos\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/02/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7917\", \"logical_representation\": [\"2015/02/18\", \"Lydia, Olivia, Hazel, Avery\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia, Hazel, Avery for 14 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Hazel, Avery late in the evening on 2015/02/18?\", \"14 minutes\"], [\"who did I talk to on 2015/02/18?\", \"Lydia, Olivia, Hazel, Avery\"], [\"Did I talk to Lydia, Olivia, Hazel, Avery on 2015/02/18?\", \"yes\"], [\"Did I talk to anyone on 2015/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7918\", \"logical_representation\": [\"2015/02/18\", \"Piper, Kinsley, Piper\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Piper for 17 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Piper late in the evening on 2015/02/18?\", \"17 minutes\"], [\"who did I talk to on 2015/02/18?\", \"Piper, Kinsley, Piper\"], [\"Did I talk to Piper, Kinsley, Piper on 2015/02/18?\", \"yes\"], [\"Did I talk to anyone on 2015/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/19\": {\"exercise\": {\"eid\": \"e7919\", \"logical_representation\": [\"2015/02/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/02/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7920\", \"logical_representation\": [\"2015/02/19\", \"dinner\", \"fish and chips\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/02/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7921\", \"logical_representation\": [\"2015/02/19\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/02/19?\", \"28 minutes\"], [\"what did I read on 2015/02/19?\", \"news\"], [\"Did I read on 2015/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/20\": {\"chat0\": {\"eid\": \"e7922\", \"logical_representation\": [\"2015/02/20\", \"Hazel, Avery\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Hazel, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery in the early afternoon on 2015/02/20?\", \"46 minutes\"], [\"who did I talk to on 2015/02/20?\", \"Hazel, Avery\"], [\"Did I talk to Hazel, Avery on 2015/02/20?\", \"yes\"], [\"Did I talk to anyone on 2015/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7923\", \"logical_representation\": [\"2015/02/20\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/02/20?\", \"22 minutes\"], [\"what did I read on 2015/02/20?\", \"a book\"], [\"Did I read on 2015/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/23\": {\"breakfast\": {\"eid\": \"e7929\", \"logical_representation\": [\"2015/02/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Lydia, Piper, Layla, Nora, Nevaeh\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/02/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7930\", \"logical_representation\": [\"2015/02/23\", \"dinner\", \"pasta\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/02/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7931\", \"logical_representation\": [\"2015/02/23\", \"Claire, Nevaeh, Lydia\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Claire, Nevaeh, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Lydia in the early evening on 2015/02/23?\", \"34 minutes\"], [\"who did I talk to on 2015/02/23?\", \"Claire, Nevaeh, Lydia\"], [\"Did I talk to Claire, Nevaeh, Lydia on 2015/02/23?\", \"yes\"], [\"Did I talk to anyone on 2015/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/24\": {\"exercise\": {\"eid\": \"e7932\", \"logical_representation\": [\"2015/02/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/02/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7933\", \"logical_representation\": [\"2015/02/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/02/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7934\", \"logical_representation\": [\"2015/02/24\", \"lunch\", \"sushi\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7935\", \"logical_representation\": [\"2015/02/24\", \"dinner\", \"fish and chips\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Carter, Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/02/24?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2015/02/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7936\", \"logical_representation\": [\"2015/02/24\", \"Hazel, Rylee, Nora, Olivia\", \"late in the evening\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Hazel, Rylee, Nora, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee, Nora, Olivia late in the evening on 2015/02/24?\", \"16 minutes\"], [\"who did I talk to on 2015/02/24?\", \"Hazel, Rylee, Nora, Olivia\"], [\"Did I talk to Hazel, Rylee, Nora, Olivia on 2015/02/24?\", \"yes\"], [\"Did I talk to anyone on 2015/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7937\", \"logical_representation\": [\"2015/02/24\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I watched a tv series for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/24?\", \"32 minutes\"], [\"what did I watch on tv on 2015/02/24?\", \"a tv series\"], [\"Did I watch tv on 2015/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/27\": {\"exercise\": {\"eid\": \"e7945\", \"logical_representation\": [\"2015/02/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/02/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7946\", \"logical_representation\": [\"2015/02/27\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Kayden. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/02/27?\", \"Carter, Kayden\"], [\"what did I eat for breakfast on 2015/02/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7947\", \"logical_representation\": [\"2015/02/27\", \"Eva, Kinsley, Piper, Hazel\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley, Piper, Hazel for 34 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Piper, Hazel in the late afternoon on 2015/02/27?\", \"34 minutes\"], [\"who did I talk to on 2015/02/27?\", \"Eva, Kinsley, Piper, Hazel\"], [\"Did I talk to Eva, Kinsley, Piper, Hazel on 2015/02/27?\", \"yes\"], [\"Did I talk to anyone on 2015/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7948\", \"logical_representation\": [\"2015/02/27\", \"news\", \"26 minutes\"], \"text_template_based\": \"I watched news for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/27?\", \"26 minutes\"], [\"what did I watch on tv on 2015/02/27?\", \"news\"], [\"Did I watch tv on 2015/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/02\": {\"exercise\": {\"eid\": \"e7959\", \"logical_representation\": [\"2015/03/02\", \"running\"], \"text_template_based\": \"I did running on 2015/03/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7960\", \"logical_representation\": [\"2015/03/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Claire, Rylee\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/03/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7961\", \"logical_representation\": [\"2015/03/02\", \"Kinsley\", \"in the early evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2015/03/02?\", \"45 minutes\"], [\"who did I talk to on 2015/03/02?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2015/03/02?\", \"yes\"], [\"Did I talk to anyone on 2015/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7962\", \"logical_representation\": [\"2015/03/02\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/03/02?\", \"46 minutes\"], [\"what did I read on 2015/03/02?\", \"social media\"], [\"Did I read on 2015/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/04\": {\"exercise\": {\"eid\": \"e7965\", \"logical_representation\": [\"2015/03/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/03/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7966\", \"logical_representation\": [\"2015/03/04\", \"breakfast\", \"cereals\", \"Hazel, Kinsley, Nevaeh, Eva, Piper, Claire, Nora, Lydia, Avery, Layla, Piper, Rylee\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/03/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7967\", \"logical_representation\": [\"2015/03/04\", \"lunch\", \"sushi\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/03/04?\", \"Carter\"], [\"what did I eat for lunch on 2015/03/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7968\", \"logical_representation\": [\"2015/03/04\", \"dinner\", \"indian food\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/03/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7969\", \"logical_representation\": [\"2015/03/04\", \"Lydia, Claire\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Lydia, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire late in the evening on 2015/03/04?\", \"42 minutes\"], [\"who did I talk to on 2015/03/04?\", \"Lydia, Claire\"], [\"Did I talk to Lydia, Claire on 2015/03/04?\", \"yes\"], [\"Did I talk to anyone on 2015/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7970\", \"logical_representation\": [\"2015/03/04\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/03/04?\", \"29 minutes\"], [\"what did I read on 2015/03/04?\", \"social media\"], [\"Did I read on 2015/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/05\": {\"chat0\": {\"eid\": \"e7971\", \"logical_representation\": [\"2015/03/05\", \"Claire\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I talked to Claire for 12 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2015/03/05?\", \"12 minutes\"], [\"who did I talk to on 2015/03/05?\", \"Claire\"], [\"Did I talk to Claire on 2015/03/05?\", \"yes\"], [\"Did I talk to anyone on 2015/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7972\", \"logical_representation\": [\"2015/03/05\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/03/05?\", \"9 minutes\"], [\"what did I read on 2015/03/05?\", \"social media\"], [\"Did I read on 2015/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/06\": {\"exercise\": {\"eid\": \"e7973\", \"logical_representation\": [\"2015/03/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/03/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7974\", \"logical_representation\": [\"2015/03/06\", \"breakfast\", \"pancakes\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had breakfast with Avery, Jackson, Willow, Benjamin. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/03/06?\", \"Avery, Jackson, Willow, Benjamin\"], [\"what did I eat for breakfast on 2015/03/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7975\", \"logical_representation\": [\"2015/03/06\", \"lunch\", \"sushi\", \"Willow, Benjamin\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/03/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7976\", \"logical_representation\": [\"2015/03/06\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/03/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7977\", \"logical_representation\": [\"2015/03/06\", \"Layla, Kinsley, Nevaeh\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Layla, Kinsley, Nevaeh for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Nevaeh in the morning on 2015/03/06?\", \"30 minutes\"], [\"who did I talk to on 2015/03/06?\", \"Layla, Kinsley, Nevaeh\"], [\"Did I talk to Layla, Kinsley, Nevaeh on 2015/03/06?\", \"yes\"], [\"Did I talk to anyone on 2015/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7978\", \"logical_representation\": [\"2015/03/06\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I watched a tv series for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/06?\", \"48 minutes\"], [\"what did I watch on tv on 2015/03/06?\", \"a tv series\"], [\"Did I watch tv on 2015/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/07\": {\"breakfast\": {\"eid\": \"e7979\", \"logical_representation\": [\"2015/03/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Lydia, Nevaeh, Kinsley, Nora, Piper\"], \"text_template_based\": \"I had breakfast with Lydia, Nevaeh, Kinsley, Nora, Piper. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/03/07?\", \"Lydia, Nevaeh, Kinsley, Nora, Piper\"], [\"what did I eat for breakfast on 2015/03/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7980\", \"logical_representation\": [\"2015/03/07\", \"lunch\", \"sushi\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had sushi for lunch with Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/03/07?\", \"Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2015/03/07\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2015/03/10\": {\"lunch\": {\"eid\": \"e7988\", \"logical_representation\": [\"2015/03/10\", \"lunch\", \"chinese food\", \"Emily, Andrew\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/03/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7989\", \"logical_representation\": [\"2015/03/10\", \"Piper\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2015/03/10?\", \"42 minutes\"], [\"who did I talk to on 2015/03/10?\", \"Piper\"], [\"Did I talk to Piper on 2015/03/10?\", \"yes\"], [\"Did I talk to anyone on 2015/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/12\": {\"exercise\": {\"eid\": \"e7992\", \"logical_representation\": [\"2015/03/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/03/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7993\", \"logical_representation\": [\"2015/03/12\", \"lunch\", \"steak\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/03/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7994\", \"logical_representation\": [\"2015/03/12\", \"Layla, Nora\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Layla, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora in the early afternoon on 2015/03/12?\", \"9 minutes\"], [\"who did I talk to on 2015/03/12?\", \"Layla, Nora\"], [\"Did I talk to Layla, Nora on 2015/03/12?\", \"yes\"], [\"Did I talk to anyone on 2015/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7995\", \"logical_representation\": [\"2015/03/12\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/12?\", \"10 minutes\"], [\"what did I watch on tv on 2015/03/12?\", \"news\"], [\"Did I watch tv on 2015/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/13\": {\"dinner\": {\"eid\": \"e7996\", \"logical_representation\": [\"2015/03/13\", \"dinner\", \"sushi\", \"Claire, Avery, Piper, Eva, Nora, Olivia, Kinsley, Rylee, Piper\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/03/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7997\", \"logical_representation\": [\"2015/03/13\", \"Piper, Piper\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Piper, Piper for 33 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper in the early afternoon on 2015/03/13?\", \"33 minutes\"], [\"who did I talk to on 2015/03/13?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2015/03/13?\", \"yes\"], [\"Did I talk to anyone on 2015/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e7998\", \"logical_representation\": [\"2015/03/13\", \"Lydia\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Lydia for 13 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the late afternoon on 2015/03/13?\", \"13 minutes\"], [\"who did I talk to on 2015/03/13?\", \"Lydia\"], [\"Did I talk to Lydia on 2015/03/13?\", \"yes\"], [\"Did I talk to anyone on 2015/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7999\", \"logical_representation\": [\"2015/03/13\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/03/13?\", \"46 minutes\"], [\"what did I read on 2015/03/13?\", \"social media\"], [\"Did I read on 2015/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/15\": {\"exercise\": {\"eid\": \"e8003\", \"logical_representation\": [\"2015/03/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/03/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8004\", \"logical_representation\": [\"2015/03/15\", \"dinner\", \"fish and chips\", \"Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/03/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8005\", \"logical_representation\": [\"2015/03/15\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/03/15?\", \"52 minutes\"], [\"what did I read on 2015/03/15?\", \"news\"], [\"Did I read on 2015/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/17\": {\"breakfast\": {\"eid\": \"e8011\", \"logical_representation\": [\"2015/03/17\", \"breakfast\", \"cereals\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/03/17\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8012\", \"logical_representation\": [\"2015/03/17\", \"dinner\", \"a burger\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had a burger for dinner with Andrew, Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/03/17?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for dinner on 2015/03/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8013\", \"logical_representation\": [\"2015/03/17\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/03/17?\", \"12 minutes\"], [\"what did I read on 2015/03/17?\", \"a book\"], [\"Did I read on 2015/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8014\", \"logical_representation\": [\"2015/03/17\", \"a tv series\", \"53 minutes\"], \"text_template_based\": \"I watched a tv series for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/17?\", \"53 minutes\"], [\"what did I watch on tv on 2015/03/17?\", \"a tv series\"], [\"Did I watch tv on 2015/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/19\": {\"exercise\": {\"eid\": \"e8020\", \"logical_representation\": [\"2015/03/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/03/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8021\", \"logical_representation\": [\"2015/03/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Olivia, Nora\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/03/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8022\", \"logical_representation\": [\"2015/03/19\", \"Avery, Rylee\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Avery, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee during lunch hours on 2015/03/19?\", \"39 minutes\"], [\"who did I talk to on 2015/03/19?\", \"Avery, Rylee\"], [\"Did I talk to Avery, Rylee on 2015/03/19?\", \"yes\"], [\"Did I talk to anyone on 2015/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/21\": {\"lunch\": {\"eid\": \"e8024\", \"logical_representation\": [\"2015/03/21\", \"lunch\", \"fish and chips\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/03/21?\", \"Carter, Kayden, Emily\"], [\"what did I eat for lunch on 2015/03/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8025\", \"logical_representation\": [\"2015/03/21\", \"Avery, Lydia, Nora\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia, Nora for 41 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Nora late in the evening on 2015/03/21?\", \"41 minutes\"], [\"who did I talk to on 2015/03/21?\", \"Avery, Lydia, Nora\"], [\"Did I talk to Avery, Lydia, Nora on 2015/03/21?\", \"yes\"], [\"Did I talk to anyone on 2015/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8026\", \"logical_representation\": [\"2015/03/21\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/03/21?\", \"39 minutes\"], [\"what did I read on 2015/03/21?\", \"news\"], [\"Did I read on 2015/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8027\", \"logical_representation\": [\"2015/03/21\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/21?\", \"23 minutes\"], [\"what did I watch on tv on 2015/03/21?\", \"a movie\"], [\"Did I watch tv on 2015/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/22\": {\"breakfast\": {\"eid\": \"e8028\", \"logical_representation\": [\"2015/03/22\", \"breakfast\", \"toast and cheese\", \"Rylee, Piper\"], \"text_template_based\": \"I had toast and cheese for breakfast with Rylee, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/03/22?\", \"Rylee, Piper\"], [\"what did I eat for breakfast on 2015/03/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8029\", \"logical_representation\": [\"2015/03/22\", \"lunch\", \"pasta\", \"Hazel, Lydia, Nevaeh, Rylee, Eva, Piper, Avery, Piper, Olivia, Claire, Nora, Layla\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/03/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8030\", \"logical_representation\": [\"2015/03/22\", \"dinner\", \"indian food\", \"Jackson\"], \"text_template_based\": \"I had indian food for dinner with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/03/22?\", \"Jackson\"], [\"what did I eat for dinner on 2015/03/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8031\", \"logical_representation\": [\"2015/03/22\", \"Lydia, Nora, Rylee\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Lydia, Nora, Rylee for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Rylee during lunch hours on 2015/03/22?\", \"26 minutes\"], [\"who did I talk to on 2015/03/22?\", \"Lydia, Nora, Rylee\"], [\"Did I talk to Lydia, Nora, Rylee on 2015/03/22?\", \"yes\"], [\"Did I talk to anyone on 2015/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8032\", \"logical_representation\": [\"2015/03/22\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/22?\", \"10 minutes\"], [\"what did I watch on tv on 2015/03/22?\", \"news\"], [\"Did I watch tv on 2015/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/24\": {\"dinner\": {\"eid\": \"e8037\", \"logical_representation\": [\"2015/03/24\", \"dinner\", \"chinese food\", \"Layla\"], \"text_template_based\": \"I had chinese food for dinner with Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/03/24?\", \"Layla\"], [\"what did I eat for dinner on 2015/03/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8038\", \"logical_representation\": [\"2015/03/24\", \"Claire, Nora, Piper\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Piper for 33 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Piper in the late afternoon on 2015/03/24?\", \"33 minutes\"], [\"who did I talk to on 2015/03/24?\", \"Claire, Nora, Piper\"], [\"Did I talk to Claire, Nora, Piper on 2015/03/24?\", \"yes\"], [\"Did I talk to anyone on 2015/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8039\", \"logical_representation\": [\"2015/03/24\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/03/24?\", \"12 minutes\"], [\"what did I read on 2015/03/24?\", \"social media\"], [\"Did I read on 2015/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8040\", \"logical_representation\": [\"2015/03/24\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/24?\", \"49 minutes\"], [\"what did I watch on tv on 2015/03/24?\", \"a tv series\"], [\"Did I watch tv on 2015/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/25\": {\"breakfast\": {\"eid\": \"e8041\", \"logical_representation\": [\"2015/03/25\", \"breakfast\", \"oatmeal\", \"Nevaeh, Piper, Olivia, Avery, Nora, Rylee, Hazel, Kinsley, Eva\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/03/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8042\", \"logical_representation\": [\"2015/03/25\", \"lunch\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/03/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8043\", \"logical_representation\": [\"2015/03/25\", \"Kinsley\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Kinsley for 12 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2015/03/25?\", \"12 minutes\"], [\"who did I talk to on 2015/03/25?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2015/03/25?\", \"yes\"], [\"Did I talk to anyone on 2015/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8044\", \"logical_representation\": [\"2015/03/25\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/03/25?\", \"30 minutes\"], [\"what did I read on 2015/03/25?\", \"news\"], [\"Did I read on 2015/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8045\", \"logical_representation\": [\"2015/03/25\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/25?\", \"28 minutes\"], [\"what did I watch on tv on 2015/03/25?\", \"a tv series\"], [\"Did I watch tv on 2015/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/27\": {\"exercise\": {\"eid\": \"e8048\", \"logical_representation\": [\"2015/03/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/03/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8049\", \"logical_representation\": [\"2015/03/27\", \"lunch\", \"chinese food\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/03/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2015/03/31\": {\"lunch\": {\"eid\": \"e8060\", \"logical_representation\": [\"2015/03/31\", \"lunch\", \"a burger\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/03/31\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8061\", \"logical_representation\": [\"2015/03/31\", \"dinner\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/03/31\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8062\", \"logical_representation\": [\"2015/03/31\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/31?\", \"28 minutes\"], [\"what did I watch on tv on 2015/03/31?\", \"a tv series\"], [\"Did I watch tv on 2015/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/01\": {\"exercise\": {\"eid\": \"e8063\", \"logical_representation\": [\"2015/04/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/04/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8064\", \"logical_representation\": [\"2015/04/01\", \"breakfast\", \"oatmeal\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8065\", \"logical_representation\": [\"2015/04/01\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had fish and chips for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/04/01?\", \"Kayden\"], [\"what did I eat for dinner on 2015/04/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8066\", \"logical_representation\": [\"2015/04/01\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/04/01?\", \"42 minutes\"], [\"what did I read on 2015/04/01?\", \"a book\"], [\"Did I read on 2015/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/02\": {\"exercise\": {\"eid\": \"e8067\", \"logical_representation\": [\"2015/04/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/04/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8068\", \"logical_representation\": [\"2015/04/02\", \"breakfast\", \"toast and cheese\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8069\", \"logical_representation\": [\"2015/04/02\", \"lunch\", \"steak\", \"Piper, Piper, Eva, Olivia, Rylee\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/04/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8070\", \"logical_representation\": [\"2015/04/02\", \"dinner\", \"sushi\", \"Kayden, Emily\"], \"text_template_based\": \"I had sushi for dinner with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/04/02?\", \"Kayden, Emily\"], [\"what did I eat for dinner on 2015/04/02\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2015/04/03\": {\"exercise\": {\"eid\": \"e8071\", \"logical_representation\": [\"2015/04/03\", \"biking\"], \"text_template_based\": \"I did biking on 2015/04/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8072\", \"logical_representation\": [\"2015/04/03\", \"breakfast\", \"cereals\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had cereals for breakfast with Emily, Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/04/03?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2015/04/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8073\", \"logical_representation\": [\"2015/04/03\", \"Olivia, Nevaeh, Claire\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I talked to Olivia, Nevaeh, Claire for 40 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh, Claire in the morning on 2015/04/03?\", \"40 minutes\"], [\"who did I talk to on 2015/04/03?\", \"Olivia, Nevaeh, Claire\"], [\"Did I talk to Olivia, Nevaeh, Claire on 2015/04/03?\", \"yes\"], [\"Did I talk to anyone on 2015/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/04\": {\"dinner\": {\"eid\": \"e8074\", \"logical_representation\": [\"2015/04/04\", \"dinner\", \"sushi\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/04/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8075\", \"logical_representation\": [\"2015/04/04\", \"Piper, Lydia, Olivia, Nevaeh\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Piper, Lydia, Olivia, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Olivia, Nevaeh late in the evening on 2015/04/04?\", \"30 minutes\"], [\"who did I talk to on 2015/04/04?\", \"Piper, Lydia, Olivia, Nevaeh\"], [\"Did I talk to Piper, Lydia, Olivia, Nevaeh on 2015/04/04?\", \"yes\"], [\"Did I talk to anyone on 2015/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8076\", \"logical_representation\": [\"2015/04/04\", \"a movie\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/04?\", \"35 minutes\"], [\"what did I watch on tv on 2015/04/04?\", \"a movie\"], [\"Did I watch tv on 2015/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/05\": {\"lunch\": {\"eid\": \"e8077\", \"logical_representation\": [\"2015/04/05\", \"lunch\", \"fish and chips\", \"Kinsley, Olivia\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/04/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8078\", \"logical_representation\": [\"2015/04/05\", \"dinner\", \"tacos\", \"Kayden, Emily\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/04/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8079\", \"logical_representation\": [\"2015/04/05\", \"Layla\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I talked to Layla for 54 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2015/04/05?\", \"54 minutes\"], [\"who did I talk to on 2015/04/05?\", \"Layla\"], [\"Did I talk to Layla on 2015/04/05?\", \"yes\"], [\"Did I talk to anyone on 2015/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8080\", \"logical_representation\": [\"2015/04/05\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/05?\", \"50 minutes\"], [\"what did I watch on tv on 2015/04/05?\", \"news\"], [\"Did I watch tv on 2015/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/06\": {\"lunch\": {\"eid\": \"e8081\", \"logical_representation\": [\"2015/04/06\", \"lunch\", \"sandwich\", \"Layla, Piper, Nora, Rylee, Eva, Avery, Kinsley, Nevaeh\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/04/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8082\", \"logical_representation\": [\"2015/04/06\", \"dinner\", \"a burger\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Emily, Andrew, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/04/06?\", \"Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2015/04/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8083\", \"logical_representation\": [\"2015/04/06\", \"Olivia, Hazel\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Olivia, Hazel for 38 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel in the late afternoon on 2015/04/06?\", \"38 minutes\"], [\"who did I talk to on 2015/04/06?\", \"Olivia, Hazel\"], [\"Did I talk to Olivia, Hazel on 2015/04/06?\", \"yes\"], [\"Did I talk to anyone on 2015/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/07\": {\"lunch\": {\"eid\": \"e8084\", \"logical_representation\": [\"2015/04/07\", \"lunch\", \"indian food\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had indian food for lunch with Kayden, Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/07?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2015/04/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8085\", \"logical_representation\": [\"2015/04/07\", \"Layla, Hazel\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Layla, Hazel for 47 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel in the early evening on 2015/04/07?\", \"47 minutes\"], [\"who did I talk to on 2015/04/07?\", \"Layla, Hazel\"], [\"Did I talk to Layla, Hazel on 2015/04/07?\", \"yes\"], [\"Did I talk to anyone on 2015/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8086\", \"logical_representation\": [\"2015/04/07\", \"Olivia, Rylee\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Olivia, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee in the early afternoon on 2015/04/07?\", \"33 minutes\"], [\"who did I talk to on 2015/04/07?\", \"Olivia, Rylee\"], [\"Did I talk to Olivia, Rylee on 2015/04/07?\", \"yes\"], [\"Did I talk to anyone on 2015/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/08\": {\"breakfast\": {\"eid\": \"e8087\", \"logical_representation\": [\"2015/04/08\", \"breakfast\", \"cereals\", \"Kinsley, Lydia, Piper, Piper, Hazel, Layla\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8088\", \"logical_representation\": [\"2015/04/08\", \"lunch\", \"sandwich\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/08?\", \"Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2015/04/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8089\", \"logical_representation\": [\"2015/04/08\", \"Kinsley, Olivia, Eva\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Kinsley, Olivia, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Eva in the morning on 2015/04/08?\", \"40 minutes\"], [\"who did I talk to on 2015/04/08?\", \"Kinsley, Olivia, Eva\"], [\"Did I talk to Kinsley, Olivia, Eva on 2015/04/08?\", \"yes\"], [\"Did I talk to anyone on 2015/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8090\", \"logical_representation\": [\"2015/04/08\", \"news\", \"55 minutes\"], \"text_template_based\": \"I watched news for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/08?\", \"55 minutes\"], [\"what did I watch on tv on 2015/04/08?\", \"news\"], [\"Did I watch tv on 2015/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/09\": {\"breakfast\": {\"eid\": \"e8091\", \"logical_representation\": [\"2015/04/09\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/09\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8092\", \"logical_representation\": [\"2015/04/09\", \"dinner\", \"sandwich\", \"Rylee, Kinsley, Piper, Eva, Nevaeh, Lydia, Claire, Layla, Avery, Piper, Olivia, Nora\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/04/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8093\", \"logical_representation\": [\"2015/04/09\", \"news\", \"29 minutes\"], \"text_template_based\": \"I watched news for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/09?\", \"29 minutes\"], [\"what did I watch on tv on 2015/04/09?\", \"news\"], [\"Did I watch tv on 2015/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/11\": {\"breakfast\": {\"eid\": \"e8095\", \"logical_representation\": [\"2015/04/11\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/04/11?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2015/04/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8096\", \"logical_representation\": [\"2015/04/11\", \"lunch\", \"sandwich\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/04/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8097\", \"logical_representation\": [\"2015/04/11\", \"dinner\", \"a burger\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had a burger for dinner with Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/04/11?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2015/04/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8098\", \"logical_representation\": [\"2015/04/11\", \"Hazel, Lydia, Nevaeh, Rylee\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Hazel, Lydia, Nevaeh, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Nevaeh, Rylee in the early evening on 2015/04/11?\", \"19 minutes\"], [\"who did I talk to on 2015/04/11?\", \"Hazel, Lydia, Nevaeh, Rylee\"], [\"Did I talk to Hazel, Lydia, Nevaeh, Rylee on 2015/04/11?\", \"yes\"], [\"Did I talk to anyone on 2015/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8099\", \"logical_representation\": [\"2015/04/11\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/04/11?\", \"42 minutes\"], [\"what did I read on 2015/04/11?\", \"social media\"], [\"Did I read on 2015/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/12\": {\"lunch\": {\"eid\": \"e8100\", \"logical_representation\": [\"2015/04/12\", \"lunch\", \"chinese food\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had chinese food for lunch with Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/12?\", \"Carter, Kayden, Emily\"], [\"what did I eat for lunch on 2015/04/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8101\", \"logical_representation\": [\"2015/04/12\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/04/12\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/04/15\": {\"exercise\": {\"eid\": \"e8109\", \"logical_representation\": [\"2015/04/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/04/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8110\", \"logical_representation\": [\"2015/04/15\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/04/15?\", \"Kayden, Carter\"], [\"what did I eat for breakfast on 2015/04/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8111\", \"logical_representation\": [\"2015/04/15\", \"dinner\", \"sushi\", \"Eva, Nora, Piper, Claire\"], \"text_template_based\": \"I had sushi for dinner with Eva, Nora, Piper, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/04/15?\", \"Eva, Nora, Piper, Claire\"], [\"what did I eat for dinner on 2015/04/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8112\", \"logical_representation\": [\"2015/04/15\", \"a documentary\", \"21 minutes\"], \"text_template_based\": \"I watched a documentary for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/15?\", \"21 minutes\"], [\"what did I watch on tv on 2015/04/15?\", \"a documentary\"], [\"Did I watch tv on 2015/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/17\": {\"exercise\": {\"eid\": \"e8114\", \"logical_representation\": [\"2015/04/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/04/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8115\", \"logical_representation\": [\"2015/04/17\", \"lunch\", \"chinese food\", \"Avery\"], \"text_template_based\": \"I had chinese food for lunch with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/17?\", \"Avery\"], [\"what did I eat for lunch on 2015/04/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8116\", \"logical_representation\": [\"2015/04/17\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had sandwich for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/04/17?\", \"Kayden\"], [\"what did I eat for dinner on 2015/04/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8117\", \"logical_representation\": [\"2015/04/17\", \"Piper, Nora, Piper\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Piper, Nora, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Piper in the late afternoon on 2015/04/17?\", \"39 minutes\"], [\"who did I talk to on 2015/04/17?\", \"Piper, Nora, Piper\"], [\"Did I talk to Piper, Nora, Piper on 2015/04/17?\", \"yes\"], [\"Did I talk to anyone on 2015/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8118\", \"logical_representation\": [\"2015/04/17\", \"a documentary\", \"21 minutes\"], \"text_template_based\": \"I watched a documentary for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/17?\", \"21 minutes\"], [\"what did I watch on tv on 2015/04/17?\", \"a documentary\"], [\"Did I watch tv on 2015/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/18\": {\"exercise\": {\"eid\": \"e8119\", \"logical_representation\": [\"2015/04/18\", \"biking\"], \"text_template_based\": \"I did biking on 2015/04/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/18?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8120\", \"logical_representation\": [\"2015/04/18\", \"breakfast\", \"oatmeal\", \"Olivia, Claire, Avery, Hazel, Piper, Nora, Nevaeh, Eva, Layla, Kinsley\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8121\", \"logical_representation\": [\"2015/04/18\", \"dinner\", \"pasta\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had pasta for dinner with Carter, Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/04/18?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for dinner on 2015/04/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8122\", \"logical_representation\": [\"2015/04/18\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/04/18?\", \"21 minutes\"], [\"what did I read on 2015/04/18?\", \"social media\"], [\"Did I read on 2015/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8123\", \"logical_representation\": [\"2015/04/18\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I watched a movie for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/18?\", \"13 minutes\"], [\"what did I watch on tv on 2015/04/18?\", \"a movie\"], [\"Did I watch tv on 2015/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/19\": {\"exercise\": {\"eid\": \"e8124\", \"logical_representation\": [\"2015/04/19\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/04/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/19?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8125\", \"logical_representation\": [\"2015/04/19\", \"breakfast\", \"cereals\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had cereals for breakfast with Benjamin, Willow, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/04/19?\", \"Benjamin, Willow, Jackson, Avery\"], [\"what did I eat for breakfast on 2015/04/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8126\", \"logical_representation\": [\"2015/04/19\", \"lunch\", \"a burger\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/19?\", \"Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2015/04/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8127\", \"logical_representation\": [\"2015/04/19\", \"Avery\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2015/04/19?\", \"53 minutes\"], [\"who did I talk to on 2015/04/19?\", \"Avery\"], [\"Did I talk to Avery on 2015/04/19?\", \"yes\"], [\"Did I talk to anyone on 2015/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8128\", \"logical_representation\": [\"2015/04/19\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I watched a documentary for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/19?\", \"37 minutes\"], [\"what did I watch on tv on 2015/04/19?\", \"a documentary\"], [\"Did I watch tv on 2015/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/20\": {\"exercise\": {\"eid\": \"e8129\", \"logical_representation\": [\"2015/04/20\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/04/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/20?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8130\", \"logical_representation\": [\"2015/04/20\", \"lunch\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I had chinese food for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/20?\", \"Carter\"], [\"what did I eat for lunch on 2015/04/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8131\", \"logical_representation\": [\"2015/04/20\", \"Rylee, Lydia, Olivia\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Rylee, Lydia, Olivia for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Olivia late in the evening on 2015/04/20?\", \"18 minutes\"], [\"who did I talk to on 2015/04/20?\", \"Rylee, Lydia, Olivia\"], [\"Did I talk to Rylee, Lydia, Olivia on 2015/04/20?\", \"yes\"], [\"Did I talk to anyone on 2015/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/21\": {\"exercise\": {\"eid\": \"e8132\", \"logical_representation\": [\"2015/04/21\", \"biking\"], \"text_template_based\": \"I did biking on 2015/04/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8133\", \"logical_representation\": [\"2015/04/21\", \"breakfast\", \"pancakes\", \"Piper, Nora, Olivia, Avery, Hazel, Piper, Claire, Eva, Rylee, Kinsley, Nevaeh, Layla\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8134\", \"logical_representation\": [\"2015/04/21\", \"lunch\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/21?\", \"Andrew\"], [\"what did I eat for lunch on 2015/04/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8135\", \"logical_representation\": [\"2015/04/21\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/04/21?\", \"14 minutes\"], [\"what did I read on 2015/04/21?\", \"news\"], [\"Did I read on 2015/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/22\": {\"breakfast\": {\"eid\": \"e8136\", \"logical_representation\": [\"2015/04/22\", \"breakfast\", \"toast and cheese\", \"Hazel, Lydia, Eva, Nevaeh, Claire, Kinsley, Layla, Avery, Piper\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8137\", \"logical_representation\": [\"2015/04/22\", \"lunch\", \"pasta\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/04/22\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/04/23\": {\"exercise\": {\"eid\": \"e8138\", \"logical_representation\": [\"2015/04/23\", \"running\"], \"text_template_based\": \"I did running on 2015/04/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8139\", \"logical_representation\": [\"2015/04/23\", \"breakfast\", \"pancakes\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Emily. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/04/23?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2015/04/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8140\", \"logical_representation\": [\"2015/04/23\", \"lunch\", \"fish and chips\", \"Nora, Avery, Piper, Piper, Lydia, Rylee, Hazel\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/04/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8141\", \"logical_representation\": [\"2015/04/23\", \"Nora, Lydia, Rylee\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Nora, Lydia, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Rylee in the late afternoon on 2015/04/23?\", \"34 minutes\"], [\"who did I talk to on 2015/04/23?\", \"Nora, Lydia, Rylee\"], [\"Did I talk to Nora, Lydia, Rylee on 2015/04/23?\", \"yes\"], [\"Did I talk to anyone on 2015/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8142\", \"logical_representation\": [\"2015/04/23\", \"news\", \"11 minutes\"], \"text_template_based\": \"I watched news for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/23?\", \"11 minutes\"], [\"what did I watch on tv on 2015/04/23?\", \"news\"], [\"Did I watch tv on 2015/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/24\": {\"exercise\": {\"eid\": \"e8143\", \"logical_representation\": [\"2015/04/24\", \"biking\"], \"text_template_based\": \"I did biking on 2015/04/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8144\", \"logical_representation\": [\"2015/04/24\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Jackson, Benjamin, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/04/24?\", \"Jackson, Benjamin, Avery, Willow\"], [\"what did I eat for breakfast on 2015/04/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8145\", \"logical_representation\": [\"2015/04/24\", \"dinner\", \"steak\", \"Carter\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/04/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8146\", \"logical_representation\": [\"2015/04/24\", \"Rylee\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Rylee for 37 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2015/04/24?\", \"37 minutes\"], [\"who did I talk to on 2015/04/24?\", \"Rylee\"], [\"Did I talk to Rylee on 2015/04/24?\", \"yes\"], [\"Did I talk to anyone on 2015/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8147\", \"logical_representation\": [\"2015/04/24\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/04/24?\", \"26 minutes\"], [\"what did I read on 2015/04/24?\", \"social media\"], [\"Did I read on 2015/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/26\": {\"breakfast\": {\"eid\": \"e8151\", \"logical_representation\": [\"2015/04/26\", \"breakfast\", \"cereals\", \"Rylee, Nora, Hazel, Avery\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8152\", \"logical_representation\": [\"2015/04/26\", \"lunch\", \"steak\", \"Layla, Nora, Rylee, Piper, Avery\"], \"text_template_based\": \"I had lunch with Layla, Nora, Rylee, Piper, Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/26?\", \"Layla, Nora, Rylee, Piper, Avery\"], [\"what did I eat for lunch on 2015/04/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8153\", \"logical_representation\": [\"2015/04/26\", \"dinner\", \"fish and chips\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/04/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8154\", \"logical_representation\": [\"2015/04/26\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/04/26?\", \"20 minutes\"], [\"what did I read on 2015/04/26?\", \"a book\"], [\"Did I read on 2015/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/27\": {\"exercise\": {\"eid\": \"e8155\", \"logical_representation\": [\"2015/04/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/04/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8156\", \"logical_representation\": [\"2015/04/27\", \"lunch\", \"tacos\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/04/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8157\", \"logical_representation\": [\"2015/04/27\", \"dinner\", \"indian food\", \"Eva, Hazel, Avery\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/04/27\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2015/05/17\": {\"breakfast\": {\"eid\": \"e8224\", \"logical_representation\": [\"2015/05/17\", \"breakfast\", \"pancakes\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/17\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8225\", \"logical_representation\": [\"2015/05/17\", \"lunch\", \"steak\", \"Piper, Rylee, Avery, Layla, Eva, Olivia, Kinsley, Nevaeh, Claire, Nora, Piper, Lydia\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/05/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8226\", \"logical_representation\": [\"2015/05/17\", \"a movie\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/17?\", \"15 minutes\"], [\"what did I watch on tv on 2015/05/17?\", \"a movie\"], [\"Did I watch tv on 2015/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/18\": {\"exercise\": {\"eid\": \"e8227\", \"logical_representation\": [\"2015/05/18\", \"biking\"], \"text_template_based\": \"I did biking on 2015/05/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/05/18?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8228\", \"logical_representation\": [\"2015/05/18\", \"dinner\", \"sandwich\", \"Layla, Nora, Piper, Nevaeh, Rylee, Avery, Olivia, Claire, Hazel, Piper, Kinsley, Eva\"], \"text_template_based\": \"I had sandwich for dinner with Layla, Nora, Piper, Nevaeh, Rylee, Avery, Olivia, Claire, Hazel, Piper, Kinsley, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/05/18?\", \"Layla, Nora, Piper, Nevaeh, Rylee, Avery, Olivia, Claire, Hazel, Piper, Kinsley, Eva\"], [\"what did I eat for dinner on 2015/05/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8229\", \"logical_representation\": [\"2015/05/18\", \"Piper, Rylee, Layla\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Piper, Rylee, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Layla in the morning on 2015/05/18?\", \"38 minutes\"], [\"who did I talk to on 2015/05/18?\", \"Piper, Rylee, Layla\"], [\"Did I talk to Piper, Rylee, Layla on 2015/05/18?\", \"yes\"], [\"Did I talk to anyone on 2015/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8230\", \"logical_representation\": [\"2015/05/18\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/05/18?\", \"16 minutes\"], [\"what did I read on 2015/05/18?\", \"social media\"], [\"Did I read on 2015/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8231\", \"logical_representation\": [\"2015/05/18\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I watched a tv series for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/18?\", \"32 minutes\"], [\"what did I watch on tv on 2015/05/18?\", \"a tv series\"], [\"Did I watch tv on 2015/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/19\": {\"breakfast\": {\"eid\": \"e8232\", \"logical_representation\": [\"2015/05/19\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8233\", \"logical_representation\": [\"2015/05/19\", \"lunch\", \"a burger\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/05/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8234\", \"logical_representation\": [\"2015/05/19\", \"dinner\", \"steak\", \"Kayden, Andrew\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/05/19\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8235\", \"logical_representation\": [\"2015/05/19\", \"Eva, Nora, Avery, Nevaeh\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Eva, Nora, Avery, Nevaeh for 33 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Avery, Nevaeh in the late afternoon on 2015/05/19?\", \"33 minutes\"], [\"who did I talk to on 2015/05/19?\", \"Eva, Nora, Avery, Nevaeh\"], [\"Did I talk to Eva, Nora, Avery, Nevaeh on 2015/05/19?\", \"yes\"], [\"Did I talk to anyone on 2015/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8236\", \"logical_representation\": [\"2015/05/19\", \"Rylee\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2015/05/19?\", \"7 minutes\"], [\"who did I talk to on 2015/05/19?\", \"Rylee\"], [\"Did I talk to Rylee on 2015/05/19?\", \"yes\"], [\"Did I talk to anyone on 2015/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/23\": {\"breakfast\": {\"eid\": \"e8252\", \"logical_representation\": [\"2015/05/23\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/23\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8253\", \"logical_representation\": [\"2015/05/23\", \"lunch\", \"fish and chips\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/05/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8254\", \"logical_representation\": [\"2015/05/23\", \"dinner\", \"sushi\", \"Olivia, Piper, Eva, Hazel, Avery, Nora, Nevaeh, Kinsley\"], \"text_template_based\": \"I had sushi for dinner with Olivia, Piper, Eva, Hazel, Avery, Nora, Nevaeh, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/05/23?\", \"Olivia, Piper, Eva, Hazel, Avery, Nora, Nevaeh, Kinsley\"], [\"what did I eat for dinner on 2015/05/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8255\", \"logical_representation\": [\"2015/05/23\", \"Eva, Avery, Nora, Olivia\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I talked to Eva, Avery, Nora, Olivia for 11 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Nora, Olivia during lunch hours on 2015/05/23?\", \"11 minutes\"], [\"who did I talk to on 2015/05/23?\", \"Eva, Avery, Nora, Olivia\"], [\"Did I talk to Eva, Avery, Nora, Olivia on 2015/05/23?\", \"yes\"], [\"Did I talk to anyone on 2015/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/24\": {\"breakfast\": {\"eid\": \"e8256\", \"logical_representation\": [\"2015/05/24\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/05/24?\", \"Emily\"], [\"what did I eat for breakfast on 2015/05/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8257\", \"logical_representation\": [\"2015/05/24\", \"dinner\", \"sushi\", \"Olivia, Eva, Nevaeh, Rylee\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/05/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8258\", \"logical_representation\": [\"2015/05/24\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/05/24?\", \"13 minutes\"], [\"what did I read on 2015/05/24?\", \"social media\"], [\"Did I read on 2015/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/26\": {\"breakfast\": {\"eid\": \"e8262\", \"logical_representation\": [\"2015/05/26\", \"breakfast\", \"peanut-butter-jam\", \"Claire, Olivia, Avery, Rylee, Layla, Hazel, Piper, Eva, Nora, Kinsley\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8263\", \"logical_representation\": [\"2015/05/26\", \"lunch\", \"tacos\", \"Jackson\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/05/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8264\", \"logical_representation\": [\"2015/05/26\", \"Piper\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2015/05/26?\", \"23 minutes\"], [\"who did I talk to on 2015/05/26?\", \"Piper\"], [\"Did I talk to Piper on 2015/05/26?\", \"yes\"], [\"Did I talk to anyone on 2015/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8265\", \"logical_representation\": [\"2015/05/26\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/05/26?\", \"14 minutes\"], [\"what did I read on 2015/05/26?\", \"social media\"], [\"Did I read on 2015/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/28\": {\"breakfast\": {\"eid\": \"e8272\", \"logical_representation\": [\"2015/05/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8273\", \"logical_representation\": [\"2015/05/28\", \"dinner\", \"pasta\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/05/28\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8274\", \"logical_representation\": [\"2015/05/28\", \"Olivia\", \"in the late afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Olivia for 36 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the late afternoon on 2015/05/28?\", \"36 minutes\"], [\"who did I talk to on 2015/05/28?\", \"Olivia\"], [\"Did I talk to Olivia on 2015/05/28?\", \"yes\"], [\"Did I talk to anyone on 2015/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8275\", \"logical_representation\": [\"2015/05/28\", \"a tv series\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/28?\", \"53 minutes\"], [\"what did I watch on tv on 2015/05/28?\", \"a tv series\"], [\"Did I watch tv on 2015/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/29\": {\"breakfast\": {\"eid\": \"e8276\", \"logical_representation\": [\"2015/05/29\", \"breakfast\", \"toast and cheese\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8277\", \"logical_representation\": [\"2015/05/29\", \"Piper, Hazel\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel for 11 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel in the late afternoon on 2015/05/29?\", \"11 minutes\"], [\"who did I talk to on 2015/05/29?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2015/05/29?\", \"yes\"], [\"Did I talk to anyone on 2015/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8278\", \"logical_representation\": [\"2015/05/29\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/05/29?\", \"54 minutes\"], [\"what did I read on 2015/05/29?\", \"news\"], [\"Did I read on 2015/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8279\", \"logical_representation\": [\"2015/05/29\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/29?\", \"12 minutes\"], [\"what did I watch on tv on 2015/05/29?\", \"news\"], [\"Did I watch tv on 2015/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/30\": {\"breakfast\": {\"eid\": \"e8280\", \"logical_representation\": [\"2015/05/30\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/05/30?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2015/05/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8281\", \"logical_representation\": [\"2015/05/30\", \"dinner\", \"fish and chips\", \"Benjamin\"], \"text_template_based\": \"I had dinner with Benjamin. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/05/30?\", \"Benjamin\"], [\"what did I eat for dinner on 2015/05/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8282\", \"logical_representation\": [\"2015/05/30\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/05/30?\", \"45 minutes\"], [\"what did I read on 2015/05/30?\", \"news\"], [\"Did I read on 2015/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/31\": {\"lunch\": {\"eid\": \"e8283\", \"logical_representation\": [\"2015/05/31\", \"lunch\", \"tacos\", \"Olivia, Layla, Eva, Avery, Piper, Nora, Kinsley, Rylee\"], \"text_template_based\": \"I had lunch with Olivia, Layla, Eva, Avery, Piper, Nora, Kinsley, Rylee. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/05/31?\", \"Olivia, Layla, Eva, Avery, Piper, Nora, Kinsley, Rylee\"], [\"what did I eat for lunch on 2015/05/31\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8284\", \"logical_representation\": [\"2015/05/31\", \"Hazel\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I talked to Hazel for 41 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the morning on 2015/05/31?\", \"41 minutes\"], [\"who did I talk to on 2015/05/31?\", \"Hazel\"], [\"Did I talk to Hazel on 2015/05/31?\", \"yes\"], [\"Did I talk to anyone on 2015/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8285\", \"logical_representation\": [\"2015/05/31\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/05/31?\", \"47 minutes\"], [\"what did I read on 2015/05/31?\", \"social media\"], [\"Did I read on 2015/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8286\", \"logical_representation\": [\"2015/05/31\", \"a tv series\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/31?\", \"41 minutes\"], [\"what did I watch on tv on 2015/05/31?\", \"a tv series\"], [\"Did I watch tv on 2015/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/01\": {\"exercise\": {\"eid\": \"e8287\", \"logical_representation\": [\"2015/06/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/06/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8288\", \"logical_representation\": [\"2015/06/01\", \"lunch\", \"sushi\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/06/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8289\", \"logical_representation\": [\"2015/06/01\", \"dinner\", \"a burger\", \"Kayden, Carter\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8290\", \"logical_representation\": [\"2015/06/01\", \"Rylee\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I talked to Rylee for 49 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2015/06/01?\", \"49 minutes\"], [\"who did I talk to on 2015/06/01?\", \"Rylee\"], [\"Did I talk to Rylee on 2015/06/01?\", \"yes\"], [\"Did I talk to anyone on 2015/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8291\", \"logical_representation\": [\"2015/06/01\", \"Olivia, Eva, Lydia\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I talked to Olivia, Eva, Lydia for 52 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva, Lydia in the morning on 2015/06/01?\", \"52 minutes\"], [\"who did I talk to on 2015/06/01?\", \"Olivia, Eva, Lydia\"], [\"Did I talk to Olivia, Eva, Lydia on 2015/06/01?\", \"yes\"], [\"Did I talk to anyone on 2015/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8292\", \"logical_representation\": [\"2015/06/01\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/06/01?\", \"34 minutes\"], [\"what did I read on 2015/06/01?\", \"a book\"], [\"Did I read on 2015/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8293\", \"logical_representation\": [\"2015/06/01\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/01?\", \"50 minutes\"], [\"what did I watch on tv on 2015/06/01?\", \"a tv series\"], [\"Did I watch tv on 2015/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/03\": {\"read\": {\"eid\": \"e8299\", \"logical_representation\": [\"2015/06/03\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/06/03?\", \"22 minutes\"], [\"what did I read on 2015/06/03?\", \"a book\"], [\"Did I read on 2015/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/04\": {\"lunch\": {\"eid\": \"e8300\", \"logical_representation\": [\"2015/06/04\", \"lunch\", \"steak\", \"Kinsley, Nevaeh, Piper, Eva, Hazel, Layla, Lydia, Rylee, Nora, Piper, Avery\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/06/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8301\", \"logical_representation\": [\"2015/06/04\", \"Avery, Lydia, Kinsley, Eva\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia, Kinsley, Eva for 44 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Kinsley, Eva in the morning on 2015/06/04?\", \"44 minutes\"], [\"who did I talk to on 2015/06/04?\", \"Avery, Lydia, Kinsley, Eva\"], [\"Did I talk to Avery, Lydia, Kinsley, Eva on 2015/06/04?\", \"yes\"], [\"Did I talk to anyone on 2015/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8302\", \"logical_representation\": [\"2015/06/04\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/04?\", \"10 minutes\"], [\"what did I watch on tv on 2015/06/04?\", \"a documentary\"], [\"Did I watch tv on 2015/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/05\": {\"breakfast\": {\"eid\": \"e8303\", \"logical_representation\": [\"2015/06/05\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Jackson\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/06/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8304\", \"logical_representation\": [\"2015/06/05\", \"lunch\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/06/05?\", \"Emily\"], [\"what did I eat for lunch on 2015/06/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8305\", \"logical_representation\": [\"2015/06/05\", \"Kinsley, Claire, Nora\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire, Nora for 38 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Nora during lunch hours on 2015/06/05?\", \"38 minutes\"], [\"who did I talk to on 2015/06/05?\", \"Kinsley, Claire, Nora\"], [\"Did I talk to Kinsley, Claire, Nora on 2015/06/05?\", \"yes\"], [\"Did I talk to anyone on 2015/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8306\", \"logical_representation\": [\"2015/06/05\", \"Nora\", \"during lunch hours\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2015/06/05?\", \"5 minutes\"], [\"who did I talk to on 2015/06/05?\", \"Nora\"], [\"Did I talk to Nora on 2015/06/05?\", \"yes\"], [\"Did I talk to anyone on 2015/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/06\": {\"chat1\": {\"eid\": \"e8307\", \"logical_representation\": [\"2015/06/06\", \"Olivia\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I talked to Olivia for 39 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the morning on 2015/06/06?\", \"39 minutes\"], [\"who did I talk to on 2015/06/06?\", \"Olivia\"], [\"Did I talk to Olivia on 2015/06/06?\", \"yes\"], [\"Did I talk to anyone on 2015/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8308\", \"logical_representation\": [\"2015/06/06\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/06/06?\", \"47 minutes\"], [\"what did I read on 2015/06/06?\", \"social media\"], [\"Did I read on 2015/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/07\": {\"exercise\": {\"eid\": \"e8309\", \"logical_representation\": [\"2015/06/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/06/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8310\", \"logical_representation\": [\"2015/06/07\", \"lunch\", \"pasta\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had pasta for lunch with Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/06/07?\", \"Andrew, Emily, Carter\"], [\"what did I eat for lunch on 2015/06/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8311\", \"logical_representation\": [\"2015/06/07\", \"Piper, Lydia, Nora\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Nora for 11 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Nora in the early evening on 2015/06/07?\", \"11 minutes\"], [\"who did I talk to on 2015/06/07?\", \"Piper, Lydia, Nora\"], [\"Did I talk to Piper, Lydia, Nora on 2015/06/07?\", \"yes\"], [\"Did I talk to anyone on 2015/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8312\", \"logical_representation\": [\"2015/06/07\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/06/07?\", \"21 minutes\"], [\"what did I read on 2015/06/07?\", \"news\"], [\"Did I read on 2015/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8313\", \"logical_representation\": [\"2015/06/07\", \"news\", \"55 minutes\"], \"text_template_based\": \"I watched news for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/07?\", \"55 minutes\"], [\"what did I watch on tv on 2015/06/07?\", \"news\"], [\"Did I watch tv on 2015/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/08\": {\"exercise\": {\"eid\": \"e8314\", \"logical_representation\": [\"2015/06/08\", \"running\"], \"text_template_based\": \"I did running on 2015/06/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8315\", \"logical_representation\": [\"2015/06/08\", \"dinner\", \"fish and chips\", \"Emily, Andrew\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8316\", \"logical_representation\": [\"2015/06/08\", \"Kinsley, Rylee, Layla\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee, Layla for 38 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Layla late in the evening on 2015/06/08?\", \"38 minutes\"], [\"who did I talk to on 2015/06/08?\", \"Kinsley, Rylee, Layla\"], [\"Did I talk to Kinsley, Rylee, Layla on 2015/06/08?\", \"yes\"], [\"Did I talk to anyone on 2015/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8317\", \"logical_representation\": [\"2015/06/08\", \"Rylee, Piper\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Rylee, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper during lunch hours on 2015/06/08?\", \"6 minutes\"], [\"who did I talk to on 2015/06/08?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2015/06/08?\", \"yes\"], [\"Did I talk to anyone on 2015/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8318\", \"logical_representation\": [\"2015/06/08\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/06/08?\", \"51 minutes\"], [\"what did I read on 2015/06/08?\", \"news\"], [\"Did I read on 2015/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/09\": {\"exercise\": {\"eid\": \"e8319\", \"logical_representation\": [\"2015/06/09\", \"running\"], \"text_template_based\": \"I did running on 2015/06/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/09?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8320\", \"logical_representation\": [\"2015/06/09\", \"dinner\", \"indian food\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8321\", \"logical_representation\": [\"2015/06/09\", \"Piper, Nevaeh\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Piper, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh during lunch hours on 2015/06/09?\", \"9 minutes\"], [\"who did I talk to on 2015/06/09?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2015/06/09?\", \"yes\"], [\"Did I talk to anyone on 2015/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8322\", \"logical_representation\": [\"2015/06/09\", \"Olivia, Nevaeh, Claire, Avery\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Olivia, Nevaeh, Claire, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh, Claire, Avery in the early evening on 2015/06/09?\", \"28 minutes\"], [\"who did I talk to on 2015/06/09?\", \"Olivia, Nevaeh, Claire, Avery\"], [\"Did I talk to Olivia, Nevaeh, Claire, Avery on 2015/06/09?\", \"yes\"], [\"Did I talk to anyone on 2015/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8323\", \"logical_representation\": [\"2015/06/09\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/06/09?\", \"20 minutes\"], [\"what did I read on 2015/06/09?\", \"a book\"], [\"Did I read on 2015/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/10\": {\"exercise\": {\"eid\": \"e8324\", \"logical_representation\": [\"2015/06/10\", \"running\"], \"text_template_based\": \"I did running on 2015/06/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/10?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8325\", \"logical_representation\": [\"2015/06/10\", \"breakfast\", \"cereals\", \"Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/06/10\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8326\", \"logical_representation\": [\"2015/06/10\", \"lunch\", \"indian food\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had indian food for lunch with Carter, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/06/10?\", \"Carter, Andrew, Kayden\"], [\"what did I eat for lunch on 2015/06/10\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2015/06/11\": {\"lunch\": {\"eid\": \"e8327\", \"logical_representation\": [\"2015/06/11\", \"lunch\", \"chinese food\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/06/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8328\", \"logical_representation\": [\"2015/06/11\", \"Eva, Piper, Hazel, Piper\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Eva, Piper, Hazel, Piper for 12 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Hazel, Piper in the early evening on 2015/06/11?\", \"12 minutes\"], [\"who did I talk to on 2015/06/11?\", \"Eva, Piper, Hazel, Piper\"], [\"Did I talk to Eva, Piper, Hazel, Piper on 2015/06/11?\", \"yes\"], [\"Did I talk to anyone on 2015/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/12\": {\"exercise\": {\"eid\": \"e8329\", \"logical_representation\": [\"2015/06/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/06/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8330\", \"logical_representation\": [\"2015/06/12\", \"lunch\", \"tacos\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/06/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8331\", \"logical_representation\": [\"2015/06/12\", \"dinner\", \"sushi\", \"Rylee, Avery, Claire, Piper, Hazel, Olivia, Piper, Layla, Lydia, Nora, Eva\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8332\", \"logical_representation\": [\"2015/06/12\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/06/12?\", \"55 minutes\"], [\"what did I read on 2015/06/12?\", \"social media\"], [\"Did I read on 2015/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8333\", \"logical_representation\": [\"2015/06/12\", \"a documentary\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/12?\", \"18 minutes\"], [\"what did I watch on tv on 2015/06/12?\", \"a documentary\"], [\"Did I watch tv on 2015/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/13\": {\"exercise\": {\"eid\": \"e8334\", \"logical_representation\": [\"2015/06/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/06/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8335\", \"logical_representation\": [\"2015/06/13\", \"breakfast\", \"pancakes\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had pancakes for breakfast with Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/06/13?\", \"Benjamin, Jackson\"], [\"what did I eat for breakfast on 2015/06/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8336\", \"logical_representation\": [\"2015/06/13\", \"Eva\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2015/06/13?\", \"37 minutes\"], [\"who did I talk to on 2015/06/13?\", \"Eva\"], [\"Did I talk to Eva on 2015/06/13?\", \"yes\"], [\"Did I talk to anyone on 2015/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8337\", \"logical_representation\": [\"2015/06/13\", \"Piper\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2015/06/13?\", \"53 minutes\"], [\"who did I talk to on 2015/06/13?\", \"Piper\"], [\"Did I talk to Piper on 2015/06/13?\", \"yes\"], [\"Did I talk to anyone on 2015/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/14\": {\"breakfast\": {\"eid\": \"e8338\", \"logical_representation\": [\"2015/06/14\", \"breakfast\", \"pancakes\", \"Olivia, Rylee, Eva, Layla, Hazel, Nevaeh, Piper, Piper, Lydia, Nora, Kinsley, Claire\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/06/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8339\", \"logical_representation\": [\"2015/06/14\", \"dinner\", \"sushi\", \"Olivia, Layla, Avery, Claire, Eva, Nevaeh, Rylee\"], \"text_template_based\": \"I had dinner with Olivia, Layla, Avery, Claire, Eva, Nevaeh, Rylee. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/06/14?\", \"Olivia, Layla, Avery, Claire, Eva, Nevaeh, Rylee\"], [\"what did I eat for dinner on 2015/06/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8340\", \"logical_representation\": [\"2015/06/14\", \"Nora, Olivia\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Nora, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia late in the evening on 2015/06/14?\", \"15 minutes\"], [\"who did I talk to on 2015/06/14?\", \"Nora, Olivia\"], [\"Did I talk to Nora, Olivia on 2015/06/14?\", \"yes\"], [\"Did I talk to anyone on 2015/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/15\": {\"lunch\": {\"eid\": \"e8341\", \"logical_representation\": [\"2015/06/15\", \"lunch\", \"tacos\", \"Emily, Kayden\"], \"text_template_based\": \"I had tacos for lunch with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/06/15?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2015/06/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8342\", \"logical_representation\": [\"2015/06/15\", \"Hazel\", \"in the morning\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the morning on 2015/06/15?\", \"50 minutes\"], [\"who did I talk to on 2015/06/15?\", \"Hazel\"], [\"Did I talk to Hazel on 2015/06/15?\", \"yes\"], [\"Did I talk to anyone on 2015/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8343\", \"logical_representation\": [\"2015/06/15\", \"Piper\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Piper for 54 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2015/06/15?\", \"54 minutes\"], [\"who did I talk to on 2015/06/15?\", \"Piper\"], [\"Did I talk to Piper on 2015/06/15?\", \"yes\"], [\"Did I talk to anyone on 2015/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8344\", \"logical_representation\": [\"2015/06/15\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I watched a tv series for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/15?\", \"47 minutes\"], [\"what did I watch on tv on 2015/06/15?\", \"a tv series\"], [\"Did I watch tv on 2015/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/16\": {\"exercise\": {\"eid\": \"e8345\", \"logical_representation\": [\"2015/06/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/06/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8346\", \"logical_representation\": [\"2015/06/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/06/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8347\", \"logical_representation\": [\"2015/06/16\", \"lunch\", \"chinese food\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/06/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8348\", \"logical_representation\": [\"2015/06/16\", \"dinner\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8349\", \"logical_representation\": [\"2015/06/16\", \"a tv series\", \"29 minutes\"], \"text_template_based\": \"I watched a tv series for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/16?\", \"29 minutes\"], [\"what did I watch on tv on 2015/06/16?\", \"a tv series\"], [\"Did I watch tv on 2015/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/17\": {\"exercise\": {\"eid\": \"e8350\", \"logical_representation\": [\"2015/06/17\", \"biking\"], \"text_template_based\": \"I did biking on 2015/06/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8351\", \"logical_representation\": [\"2015/06/17\", \"lunch\", \"steak\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/06/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8352\", \"logical_representation\": [\"2015/06/17\", \"dinner\", \"sandwich\", \"Piper, Olivia, Rylee, Layla, Hazel, Claire, Eva, Lydia\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8353\", \"logical_representation\": [\"2015/06/17\", \"Lydia, Eva, Rylee, Avery\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Lydia, Eva, Rylee, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Rylee, Avery in the early afternoon on 2015/06/17?\", \"8 minutes\"], [\"who did I talk to on 2015/06/17?\", \"Lydia, Eva, Rylee, Avery\"], [\"Did I talk to Lydia, Eva, Rylee, Avery on 2015/06/17?\", \"yes\"], [\"Did I talk to anyone on 2015/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8354\", \"logical_representation\": [\"2015/06/17\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/06/17?\", \"51 minutes\"], [\"what did I read on 2015/06/17?\", \"news\"], [\"Did I read on 2015/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/18\": {\"exercise\": {\"eid\": \"e8355\", \"logical_representation\": [\"2015/06/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/06/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8356\", \"logical_representation\": [\"2015/06/18\", \"dinner\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/06/18?\", \"Emily\"], [\"what did I eat for dinner on 2015/06/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8357\", \"logical_representation\": [\"2015/06/18\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I watched a tv series for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/18?\", \"21 minutes\"], [\"what did I watch on tv on 2015/06/18?\", \"a tv series\"], [\"Did I watch tv on 2015/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/20\": {\"exercise\": {\"eid\": \"e8364\", \"logical_representation\": [\"2015/06/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/06/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8365\", \"logical_representation\": [\"2015/06/20\", \"breakfast\", \"pancakes\", \"Carter, Andrew\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/06/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8366\", \"logical_representation\": [\"2015/06/20\", \"lunch\", \"fish and chips\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had fish and chips for lunch with Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/06/20?\", \"Emily, Carter, Kayden\"], [\"what did I eat for lunch on 2015/06/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8367\", \"logical_representation\": [\"2015/06/20\", \"Lydia\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I talked to Lydia for 37 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia during lunch hours on 2015/06/20?\", \"37 minutes\"], [\"who did I talk to on 2015/06/20?\", \"Lydia\"], [\"Did I talk to Lydia on 2015/06/20?\", \"yes\"], [\"Did I talk to anyone on 2015/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8368\", \"logical_representation\": [\"2015/06/20\", \"news\", \"19 minutes\"], \"text_template_based\": \"I watched news for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/20?\", \"19 minutes\"], [\"what did I watch on tv on 2015/06/20?\", \"news\"], [\"Did I watch tv on 2015/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/21\": {\"exercise\": {\"eid\": \"e8369\", \"logical_representation\": [\"2015/06/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/06/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8370\", \"logical_representation\": [\"2015/06/21\", \"dinner\", \"sandwich\", \"Avery, Jackson\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8371\", \"logical_representation\": [\"2015/06/21\", \"Claire\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Claire for 55 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2015/06/21?\", \"55 minutes\"], [\"who did I talk to on 2015/06/21?\", \"Claire\"], [\"Did I talk to Claire on 2015/06/21?\", \"yes\"], [\"Did I talk to anyone on 2015/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8372\", \"logical_representation\": [\"2015/06/21\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/06/21?\", \"25 minutes\"], [\"what did I read on 2015/06/21?\", \"a book\"], [\"Did I read on 2015/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8373\", \"logical_representation\": [\"2015/06/21\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/21?\", \"43 minutes\"], [\"what did I watch on tv on 2015/06/21?\", \"a movie\"], [\"Did I watch tv on 2015/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/22\": {\"exercise\": {\"eid\": \"e8374\", \"logical_representation\": [\"2015/06/22\", \"biking\"], \"text_template_based\": \"I did biking on 2015/06/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8375\", \"logical_representation\": [\"2015/06/22\", \"lunch\", \"sandwich\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had sandwich for lunch with Avery, Willow, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/06/22?\", \"Avery, Willow, Jackson, Benjamin\"], [\"what did I eat for lunch on 2015/06/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8376\", \"logical_representation\": [\"2015/06/22\", \"Piper, Claire, Eva, Lydia\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Piper, Claire, Eva, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Eva, Lydia late in the evening on 2015/06/22?\", \"33 minutes\"], [\"who did I talk to on 2015/06/22?\", \"Piper, Claire, Eva, Lydia\"], [\"Did I talk to Piper, Claire, Eva, Lydia on 2015/06/22?\", \"yes\"], [\"Did I talk to anyone on 2015/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/23\": {\"breakfast\": {\"eid\": \"e8377\", \"logical_representation\": [\"2015/06/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/06/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8378\", \"logical_representation\": [\"2015/06/23\", \"lunch\", \"a burger\", \"Olivia, Eva, Hazel, Avery, Piper, Layla, Piper, Nevaeh, Rylee, Claire, Nora\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/06/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8379\", \"logical_representation\": [\"2015/06/23\", \"dinner\", \"a burger\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8380\", \"logical_representation\": [\"2015/06/23\", \"Kinsley\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the late afternoon on 2015/06/23?\", \"47 minutes\"], [\"who did I talk to on 2015/06/23?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2015/06/23?\", \"yes\"], [\"Did I talk to anyone on 2015/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8381\", \"logical_representation\": [\"2015/06/23\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/06/23?\", \"46 minutes\"], [\"what did I read on 2015/06/23?\", \"news\"], [\"Did I read on 2015/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8382\", \"logical_representation\": [\"2015/06/23\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I watched a documentary for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/23?\", \"25 minutes\"], [\"what did I watch on tv on 2015/06/23?\", \"a documentary\"], [\"Did I watch tv on 2015/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/26\": {\"exercise\": {\"eid\": \"e8386\", \"logical_representation\": [\"2015/06/26\", \"running\"], \"text_template_based\": \"I did running on 2015/06/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8387\", \"logical_representation\": [\"2015/06/26\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/06/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8388\", \"logical_representation\": [\"2015/06/26\", \"dinner\", \"tacos\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had tacos for dinner with Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/06/26?\", \"Andrew, Carter, Emily\"], [\"what did I eat for dinner on 2015/06/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8389\", \"logical_representation\": [\"2015/06/26\", \"Piper, Rylee\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Piper, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the early afternoon on 2015/06/26?\", \"16 minutes\"], [\"who did I talk to on 2015/06/26?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2015/06/26?\", \"yes\"], [\"Did I talk to anyone on 2015/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8390\", \"logical_representation\": [\"2015/06/26\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/06/26?\", \"52 minutes\"], [\"what did I read on 2015/06/26?\", \"social media\"], [\"Did I read on 2015/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8391\", \"logical_representation\": [\"2015/06/26\", \"a movie\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/26?\", \"9 minutes\"], [\"what did I watch on tv on 2015/06/26?\", \"a movie\"], [\"Did I watch tv on 2015/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/27\": {\"exercise\": {\"eid\": \"e8392\", \"logical_representation\": [\"2015/06/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/06/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8393\", \"logical_representation\": [\"2015/06/27\", \"dinner\", \"tacos\", \"Hazel, Olivia, Claire, Nora, Eva, Piper, Layla, Piper, Avery, Lydia\"], \"text_template_based\": \"I had tacos for dinner with Hazel, Olivia, Claire, Nora, Eva, Piper, Layla, Piper, Avery, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/06/27?\", \"Hazel, Olivia, Claire, Nora, Eva, Piper, Layla, Piper, Avery, Lydia\"], [\"what did I eat for dinner on 2015/06/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8394\", \"logical_representation\": [\"2015/06/27\", \"Claire, Eva, Piper\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Claire, Eva, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Piper during lunch hours on 2015/06/27?\", \"54 minutes\"], [\"who did I talk to on 2015/06/27?\", \"Claire, Eva, Piper\"], [\"Did I talk to Claire, Eva, Piper on 2015/06/27?\", \"yes\"], [\"Did I talk to anyone on 2015/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/30\": {\"breakfast\": {\"eid\": \"e8402\", \"logical_representation\": [\"2015/06/30\", \"breakfast\", \"pancakes\", \"Lydia, Avery, Nora, Rylee, Layla, Olivia\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/06/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8403\", \"logical_representation\": [\"2015/06/30\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/06/30?\", \"48 minutes\"], [\"what did I read on 2015/06/30?\", \"social media\"], [\"Did I read on 2015/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/01\": {\"exercise\": {\"eid\": \"e8404\", \"logical_representation\": [\"2015/07/01\", \"running\"], \"text_template_based\": \"I did running on 2015/07/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8405\", \"logical_representation\": [\"2015/07/01\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/07/01?\", \"49 minutes\"], [\"what did I read on 2015/07/01?\", \"news\"], [\"Did I read on 2015/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/02\": {\"breakfast\": {\"eid\": \"e8406\", \"logical_representation\": [\"2015/07/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8407\", \"logical_representation\": [\"2015/07/02\", \"lunch\", \"fish and chips\", \"Piper, Olivia, Kinsley, Nevaeh\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8408\", \"logical_representation\": [\"2015/07/02\", \"dinner\", \"a burger\", \"Willow, Benjamin\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/07/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8409\", \"logical_representation\": [\"2015/07/02\", \"Lydia\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Lydia for 16 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2015/07/02?\", \"16 minutes\"], [\"who did I talk to on 2015/07/02?\", \"Lydia\"], [\"Did I talk to Lydia on 2015/07/02?\", \"yes\"], [\"Did I talk to anyone on 2015/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8410\", \"logical_representation\": [\"2015/07/02\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I watched a tv series for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/02?\", \"10 minutes\"], [\"what did I watch on tv on 2015/07/02?\", \"a tv series\"], [\"Did I watch tv on 2015/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/03\": {\"breakfast\": {\"eid\": \"e8411\", \"logical_representation\": [\"2015/07/03\", \"breakfast\", \"peanut-butter-jam\", \"Eva, Lydia, Kinsley, Layla, Nevaeh\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Eva, Lydia, Kinsley, Layla, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/07/03?\", \"Eva, Lydia, Kinsley, Layla, Nevaeh\"], [\"what did I eat for breakfast on 2015/07/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8412\", \"logical_representation\": [\"2015/07/03\", \"dinner\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/07/03?\", \"Kayden\"], [\"what did I eat for dinner on 2015/07/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8413\", \"logical_representation\": [\"2015/07/03\", \"Hazel, Lydia, Eva, Layla\", \"in the late afternoon\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Hazel, Lydia, Eva, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Eva, Layla in the late afternoon on 2015/07/03?\", \"22 minutes\"], [\"who did I talk to on 2015/07/03?\", \"Hazel, Lydia, Eva, Layla\"], [\"Did I talk to Hazel, Lydia, Eva, Layla on 2015/07/03?\", \"yes\"], [\"Did I talk to anyone on 2015/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8414\", \"logical_representation\": [\"2015/07/03\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/07/03?\", \"33 minutes\"], [\"what did I read on 2015/07/03?\", \"a book\"], [\"Did I read on 2015/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/04\": {\"exercise\": {\"eid\": \"e8415\", \"logical_representation\": [\"2015/07/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/07/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8416\", \"logical_representation\": [\"2015/07/04\", \"Claire\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Claire for 42 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2015/07/04?\", \"42 minutes\"], [\"who did I talk to on 2015/07/04?\", \"Claire\"], [\"Did I talk to Claire on 2015/07/04?\", \"yes\"], [\"Did I talk to anyone on 2015/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/05\": {\"exercise\": {\"eid\": \"e8417\", \"logical_representation\": [\"2015/07/05\", \"running\"], \"text_template_based\": \"I did running on 2015/07/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/05?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8418\", \"logical_representation\": [\"2015/07/05\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8419\", \"logical_representation\": [\"2015/07/05\", \"dinner\", \"indian food\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/07/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8420\", \"logical_representation\": [\"2015/07/05\", \"news\", \"31 minutes\"], \"text_template_based\": \"I watched news for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/05?\", \"31 minutes\"], [\"what did I watch on tv on 2015/07/05?\", \"news\"], [\"Did I watch tv on 2015/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/07\": {\"exercise\": {\"eid\": \"e8424\", \"logical_representation\": [\"2015/07/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/07/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2015/07/08\": {\"lunch\": {\"eid\": \"e8425\", \"logical_representation\": [\"2015/07/08\", \"lunch\", \"steak\", \"Layla, Hazel, Avery, Piper\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8426\", \"logical_representation\": [\"2015/07/08\", \"dinner\", \"a burger\", \"Lydia, Nevaeh, Nora, Piper, Hazel, Olivia, Piper, Avery, Rylee, Kinsley, Eva\"], \"text_template_based\": \"I had a burger for dinner with Lydia, Nevaeh, Nora, Piper, Hazel, Olivia, Piper, Avery, Rylee, Kinsley, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/07/08?\", \"Lydia, Nevaeh, Nora, Piper, Hazel, Olivia, Piper, Avery, Rylee, Kinsley, Eva\"], [\"what did I eat for dinner on 2015/07/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8427\", \"logical_representation\": [\"2015/07/08\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/07/08?\", \"55 minutes\"], [\"what did I read on 2015/07/08?\", \"social media\"], [\"Did I read on 2015/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8428\", \"logical_representation\": [\"2015/07/08\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I watched a movie for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/08?\", \"19 minutes\"], [\"what did I watch on tv on 2015/07/08?\", \"a movie\"], [\"Did I watch tv on 2015/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/09\": {\"breakfast\": {\"eid\": \"e8429\", \"logical_representation\": [\"2015/07/09\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/09\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8430\", \"logical_representation\": [\"2015/07/09\", \"Piper, Eva, Hazel, Claire\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Piper, Eva, Hazel, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Hazel, Claire in the late afternoon on 2015/07/09?\", \"26 minutes\"], [\"who did I talk to on 2015/07/09?\", \"Piper, Eva, Hazel, Claire\"], [\"Did I talk to Piper, Eva, Hazel, Claire on 2015/07/09?\", \"yes\"], [\"Did I talk to anyone on 2015/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8431\", \"logical_representation\": [\"2015/07/09\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/07/09?\", \"47 minutes\"], [\"what did I read on 2015/07/09?\", \"social media\"], [\"Did I read on 2015/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8432\", \"logical_representation\": [\"2015/07/09\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/09?\", \"40 minutes\"], [\"what did I watch on tv on 2015/07/09?\", \"a documentary\"], [\"Did I watch tv on 2015/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/11\": {\"exercise\": {\"eid\": \"e8440\", \"logical_representation\": [\"2015/07/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/07/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8441\", \"logical_representation\": [\"2015/07/11\", \"dinner\", \"fish and chips\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had fish and chips for dinner with Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/07/11?\", \"Avery, Jackson, Willow\"], [\"what did I eat for dinner on 2015/07/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8442\", \"logical_representation\": [\"2015/07/11\", \"Claire, Olivia, Avery\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Claire, Olivia, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Avery in the early evening on 2015/07/11?\", \"10 minutes\"], [\"who did I talk to on 2015/07/11?\", \"Claire, Olivia, Avery\"], [\"Did I talk to Claire, Olivia, Avery on 2015/07/11?\", \"yes\"], [\"Did I talk to anyone on 2015/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8443\", \"logical_representation\": [\"2015/07/11\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/11?\", \"12 minutes\"], [\"what did I watch on tv on 2015/07/11?\", \"news\"], [\"Did I watch tv on 2015/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/12\": {\"exercise\": {\"eid\": \"e8444\", \"logical_representation\": [\"2015/07/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/07/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8445\", \"logical_representation\": [\"2015/07/12\", \"breakfast\", \"toast and cheese\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8446\", \"logical_representation\": [\"2015/07/12\", \"lunch\", \"fish and chips\", \"Layla, Avery, Rylee, Eva, Claire, Piper, Nevaeh, Lydia, Olivia\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8447\", \"logical_representation\": [\"2015/07/12\", \"dinner\", \"indian food\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/07/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8448\", \"logical_representation\": [\"2015/07/12\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/07/12?\", \"47 minutes\"], [\"what did I read on 2015/07/12?\", \"news\"], [\"Did I read on 2015/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/14\": {\"exercise\": {\"eid\": \"e8451\", \"logical_representation\": [\"2015/07/14\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/07/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/14?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8452\", \"logical_representation\": [\"2015/07/14\", \"lunch\", \"indian food\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8453\", \"logical_representation\": [\"2015/07/14\", \"dinner\", \"steak\", \"Eva, Nora, Lydia, Piper\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/07/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8454\", \"logical_representation\": [\"2015/07/14\", \"Nora, Claire, Piper\", \"in the early evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Nora, Claire, Piper for 31 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Piper in the early evening on 2015/07/14?\", \"31 minutes\"], [\"who did I talk to on 2015/07/14?\", \"Nora, Claire, Piper\"], [\"Did I talk to Nora, Claire, Piper on 2015/07/14?\", \"yes\"], [\"Did I talk to anyone on 2015/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8455\", \"logical_representation\": [\"2015/07/14\", \"Nora, Hazel, Nevaeh, Piper\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Nora, Hazel, Nevaeh, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel, Nevaeh, Piper during lunch hours on 2015/07/14?\", \"54 minutes\"], [\"who did I talk to on 2015/07/14?\", \"Nora, Hazel, Nevaeh, Piper\"], [\"Did I talk to Nora, Hazel, Nevaeh, Piper on 2015/07/14?\", \"yes\"], [\"Did I talk to anyone on 2015/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8456\", \"logical_representation\": [\"2015/07/14\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/07/14?\", \"31 minutes\"], [\"what did I read on 2015/07/14?\", \"social media\"], [\"Did I read on 2015/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/16\": {\"exercise\": {\"eid\": \"e8459\", \"logical_representation\": [\"2015/07/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/07/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8460\", \"logical_representation\": [\"2015/07/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8461\", \"logical_representation\": [\"2015/07/16\", \"lunch\", \"tacos\", \"Kayden, Emily\"], \"text_template_based\": \"I had tacos for lunch with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/07/16?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2015/07/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8462\", \"logical_representation\": [\"2015/07/16\", \"dinner\", \"a burger\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/07/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8463\", \"logical_representation\": [\"2015/07/16\", \"Layla, Olivia\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Layla, Olivia for 36 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia late in the evening on 2015/07/16?\", \"36 minutes\"], [\"who did I talk to on 2015/07/16?\", \"Layla, Olivia\"], [\"Did I talk to Layla, Olivia on 2015/07/16?\", \"yes\"], [\"Did I talk to anyone on 2015/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8464\", \"logical_representation\": [\"2015/07/16\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/07/16?\", \"9 minutes\"], [\"what did I read on 2015/07/16?\", \"a book\"], [\"Did I read on 2015/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8465\", \"logical_representation\": [\"2015/07/16\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/16?\", \"45 minutes\"], [\"what did I watch on tv on 2015/07/16?\", \"news\"], [\"Did I watch tv on 2015/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/17\": {\"dinner\": {\"eid\": \"e8466\", \"logical_representation\": [\"2015/07/17\", \"dinner\", \"a burger\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Emily, Andrew. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/07/17?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2015/07/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8467\", \"logical_representation\": [\"2015/07/17\", \"Olivia\", \"late in the evening\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2015/07/17?\", \"27 minutes\"], [\"who did I talk to on 2015/07/17?\", \"Olivia\"], [\"Did I talk to Olivia on 2015/07/17?\", \"yes\"], [\"Did I talk to anyone on 2015/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8468\", \"logical_representation\": [\"2015/07/17\", \"a movie\", \"52 minutes\"], \"text_template_based\": \"I watched a movie for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/17?\", \"52 minutes\"], [\"what did I watch on tv on 2015/07/17?\", \"a movie\"], [\"Did I watch tv on 2015/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/18\": {\"exercise\": {\"eid\": \"e8469\", \"logical_representation\": [\"2015/07/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/07/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8470\", \"logical_representation\": [\"2015/07/18\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8471\", \"logical_representation\": [\"2015/07/18\", \"lunch\", \"chinese food\", \"Piper, Lydia, Claire, Eva, Rylee\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8472\", \"logical_representation\": [\"2015/07/18\", \"Olivia, Avery, Eva\", \"late in the evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Olivia, Avery, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Eva late in the evening on 2015/07/18?\", \"44 minutes\"], [\"who did I talk to on 2015/07/18?\", \"Olivia, Avery, Eva\"], [\"Did I talk to Olivia, Avery, Eva on 2015/07/18?\", \"yes\"], [\"Did I talk to anyone on 2015/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8473\", \"logical_representation\": [\"2015/07/18\", \"a documentary\", \"24 minutes\"], \"text_template_based\": \"I watched a documentary for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/18?\", \"24 minutes\"], [\"what did I watch on tv on 2015/07/18?\", \"a documentary\"], [\"Did I watch tv on 2015/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/19\": {\"lunch\": {\"eid\": \"e8474\", \"logical_representation\": [\"2015/07/19\", \"lunch\", \"a burger\", \"Avery, Nevaeh, Piper\"], \"text_template_based\": \"I had lunch with Avery, Nevaeh, Piper. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/07/19?\", \"Avery, Nevaeh, Piper\"], [\"what did I eat for lunch on 2015/07/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8475\", \"logical_representation\": [\"2015/07/19\", \"Nora, Eva, Avery\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Nora, Eva, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Avery in the late afternoon on 2015/07/19?\", \"47 minutes\"], [\"who did I talk to on 2015/07/19?\", \"Nora, Eva, Avery\"], [\"Did I talk to Nora, Eva, Avery on 2015/07/19?\", \"yes\"], [\"Did I talk to anyone on 2015/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8476\", \"logical_representation\": [\"2015/07/19\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/07/19?\", \"12 minutes\"], [\"what did I read on 2015/07/19?\", \"news\"], [\"Did I read on 2015/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/20\": {\"exercise\": {\"eid\": \"e8477\", \"logical_representation\": [\"2015/07/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/07/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8478\", \"logical_representation\": [\"2015/07/20\", \"lunch\", \"indian food\", \"Lydia, Olivia, Layla, Eva, Hazel, Piper, Rylee, Piper, Nora, Kinsley, Nevaeh, Avery, Claire\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8479\", \"logical_representation\": [\"2015/07/20\", \"dinner\", \"pasta\", \"Jackson, Willow\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/07/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8480\", \"logical_representation\": [\"2015/07/20\", \"Eva, Layla\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Eva, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla during lunch hours on 2015/07/20?\", \"44 minutes\"], [\"who did I talk to on 2015/07/20?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2015/07/20?\", \"yes\"], [\"Did I talk to anyone on 2015/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8481\", \"logical_representation\": [\"2015/07/20\", \"Rylee\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Rylee for 20 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2015/07/20?\", \"20 minutes\"], [\"who did I talk to on 2015/07/20?\", \"Rylee\"], [\"Did I talk to Rylee on 2015/07/20?\", \"yes\"], [\"Did I talk to anyone on 2015/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/21\": {\"exercise\": {\"eid\": \"e8482\", \"logical_representation\": [\"2015/07/21\", \"biking\"], \"text_template_based\": \"I did biking on 2015/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8483\", \"logical_representation\": [\"2015/07/21\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/07/21?\", \"12 minutes\"], [\"what did I read on 2015/07/21?\", \"social media\"], [\"Did I read on 2015/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/23\": {\"exercise\": {\"eid\": \"e8489\", \"logical_representation\": [\"2015/07/23\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/07/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/23?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8490\", \"logical_representation\": [\"2015/07/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8491\", \"logical_representation\": [\"2015/07/23\", \"lunch\", \"indian food\", \"Eva, Layla, Avery, Nevaeh, Claire, Rylee, Lydia, Kinsley, Piper, Olivia\"], \"text_template_based\": \"I had lunch with Eva, Layla, Avery, Nevaeh, Claire, Rylee, Lydia, Kinsley, Piper, Olivia. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/07/23?\", \"Eva, Layla, Avery, Nevaeh, Claire, Rylee, Lydia, Kinsley, Piper, Olivia\"], [\"what did I eat for lunch on 2015/07/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8492\", \"logical_representation\": [\"2015/07/23\", \"dinner\", \"sandwich\", \"Rylee, Avery, Nevaeh, Eva, Olivia, Kinsley\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/07/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8493\", \"logical_representation\": [\"2015/07/23\", \"Nora, Eva\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I talked to Nora, Eva for 52 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva in the morning on 2015/07/23?\", \"52 minutes\"], [\"who did I talk to on 2015/07/23?\", \"Nora, Eva\"], [\"Did I talk to Nora, Eva on 2015/07/23?\", \"yes\"], [\"Did I talk to anyone on 2015/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8494\", \"logical_representation\": [\"2015/07/23\", \"a movie\", \"15 minutes\"], \"text_template_based\": \"I watched a movie for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/23?\", \"15 minutes\"], [\"what did I watch on tv on 2015/07/23?\", \"a movie\"], [\"Did I watch tv on 2015/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/24\": {\"exercise\": {\"eid\": \"e8495\", \"logical_representation\": [\"2015/07/24\", \"running\"], \"text_template_based\": \"I did running on 2015/07/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/24?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8496\", \"logical_representation\": [\"2015/07/24\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/07/24?\", \"Carter\"], [\"what did I eat for breakfast on 2015/07/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8497\", \"logical_representation\": [\"2015/07/24\", \"lunch\", \"sushi\", \"Eva, Claire, Nora, Avery, Lydia, Piper, Hazel, Piper\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/24\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2015/07/26\": {\"exercise\": {\"eid\": \"e8504\", \"logical_representation\": [\"2015/07/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8505\", \"logical_representation\": [\"2015/07/26\", \"breakfast\", \"oatmeal\", \"Andrew\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8506\", \"logical_representation\": [\"2015/07/26\", \"dinner\", \"indian food\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/07/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8507\", \"logical_representation\": [\"2015/07/26\", \"Avery\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2015/07/26?\", \"49 minutes\"], [\"who did I talk to on 2015/07/26?\", \"Avery\"], [\"Did I talk to Avery on 2015/07/26?\", \"yes\"], [\"Did I talk to anyone on 2015/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8508\", \"logical_representation\": [\"2015/07/26\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I watched a movie for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/26?\", \"39 minutes\"], [\"what did I watch on tv on 2015/07/26?\", \"a movie\"], [\"Did I watch tv on 2015/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/27\": {\"exercise\": {\"eid\": \"e8509\", \"logical_representation\": [\"2015/07/27\", \"biking\"], \"text_template_based\": \"I did biking on 2015/07/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/27?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8510\", \"logical_representation\": [\"2015/07/27\", \"breakfast\", \"toast and cheese\", \"Benjamin, Willow\"], \"text_template_based\": \"I had breakfast with Benjamin, Willow. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/07/27?\", \"Benjamin, Willow\"], [\"what did I eat for breakfast on 2015/07/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8511\", \"logical_representation\": [\"2015/07/27\", \"lunch\", \"a burger\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8512\", \"logical_representation\": [\"2015/07/27\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/27?\", \"18 minutes\"], [\"what did I watch on tv on 2015/07/27?\", \"a tv series\"], [\"Did I watch tv on 2015/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/28\": {\"breakfast\": {\"eid\": \"e8513\", \"logical_representation\": [\"2015/07/28\", \"breakfast\", \"oatmeal\", \"Olivia, Layla\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8514\", \"logical_representation\": [\"2015/07/28\", \"Rylee, Hazel, Piper, Claire\", \"late in the evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Rylee, Hazel, Piper, Claire for 27 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel, Piper, Claire late in the evening on 2015/07/28?\", \"27 minutes\"], [\"who did I talk to on 2015/07/28?\", \"Rylee, Hazel, Piper, Claire\"], [\"Did I talk to Rylee, Hazel, Piper, Claire on 2015/07/28?\", \"yes\"], [\"Did I talk to anyone on 2015/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8515\", \"logical_representation\": [\"2015/07/28\", \"Olivia, Piper, Piper, Lydia\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Olivia, Piper, Piper, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Piper, Lydia in the early afternoon on 2015/07/28?\", \"47 minutes\"], [\"who did I talk to on 2015/07/28?\", \"Olivia, Piper, Piper, Lydia\"], [\"Did I talk to Olivia, Piper, Piper, Lydia on 2015/07/28?\", \"yes\"], [\"Did I talk to anyone on 2015/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8516\", \"logical_representation\": [\"2015/07/28\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I watched a tv series for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/28?\", \"39 minutes\"], [\"what did I watch on tv on 2015/07/28?\", \"a tv series\"], [\"Did I watch tv on 2015/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/29\": {\"watch tv\": {\"eid\": \"e8517\", \"logical_representation\": [\"2015/07/29\", \"a tv series\", \"15 minutes\"], \"text_template_based\": \"I watched a tv series for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/29?\", \"15 minutes\"], [\"what did I watch on tv on 2015/07/29?\", \"a tv series\"], [\"Did I watch tv on 2015/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/30\": {\"dinner\": {\"eid\": \"e8518\", \"logical_representation\": [\"2015/07/30\", \"dinner\", \"sandwich\", \"Avery, Benjamin\"], \"text_template_based\": \"I had sandwich for dinner with Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/07/30?\", \"Avery, Benjamin\"], [\"what did I eat for dinner on 2015/07/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8519\", \"logical_representation\": [\"2015/07/30\", \"Piper, Nora, Lydia\", \"late in the evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Lydia for 19 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Lydia late in the evening on 2015/07/30?\", \"19 minutes\"], [\"who did I talk to on 2015/07/30?\", \"Piper, Nora, Lydia\"], [\"Did I talk to Piper, Nora, Lydia on 2015/07/30?\", \"yes\"], [\"Did I talk to anyone on 2015/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8520\", \"logical_representation\": [\"2015/07/30\", \"a documentary\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/30?\", \"24 minutes\"], [\"what did I watch on tv on 2015/07/30?\", \"a documentary\"], [\"Did I watch tv on 2015/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/31\": {\"dinner\": {\"eid\": \"e8521\", \"logical_representation\": [\"2015/07/31\", \"dinner\", \"chinese food\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/07/31\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8522\", \"logical_representation\": [\"2015/07/31\", \"Kinsley, Avery\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Kinsley, Avery for 26 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery in the early afternoon on 2015/07/31?\", \"26 minutes\"], [\"who did I talk to on 2015/07/31?\", \"Kinsley, Avery\"], [\"Did I talk to Kinsley, Avery on 2015/07/31?\", \"yes\"], [\"Did I talk to anyone on 2015/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8523\", \"logical_representation\": [\"2015/07/31\", \"a documentary\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/31?\", \"41 minutes\"], [\"what did I watch on tv on 2015/07/31?\", \"a documentary\"], [\"Did I watch tv on 2015/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/01\": {\"exercise\": {\"eid\": \"e8524\", \"logical_representation\": [\"2015/08/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8525\", \"logical_representation\": [\"2015/08/01\", \"breakfast\", \"pancakes\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had breakfast with Avery, Benjamin, Willow. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/08/01?\", \"Avery, Benjamin, Willow\"], [\"what did I eat for breakfast on 2015/08/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8526\", \"logical_representation\": [\"2015/08/01\", \"lunch\", \"sandwich\", \"Layla, Hazel, Piper, Eva, Lydia, Avery, Olivia\"], \"text_template_based\": \"I had sandwich for lunch with Layla, Hazel, Piper, Eva, Lydia, Avery, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/08/01?\", \"Layla, Hazel, Piper, Eva, Lydia, Avery, Olivia\"], [\"what did I eat for lunch on 2015/08/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8527\", \"logical_representation\": [\"2015/08/01\", \"dinner\", \"pasta\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/08/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8528\", \"logical_representation\": [\"2015/08/01\", \"Olivia, Nora, Rylee, Claire\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora, Rylee, Claire for 40 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Rylee, Claire in the morning on 2015/08/01?\", \"40 minutes\"], [\"who did I talk to on 2015/08/01?\", \"Olivia, Nora, Rylee, Claire\"], [\"Did I talk to Olivia, Nora, Rylee, Claire on 2015/08/01?\", \"yes\"], [\"Did I talk to anyone on 2015/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8529\", \"logical_representation\": [\"2015/08/01\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/08/01?\", \"29 minutes\"], [\"what did I read on 2015/08/01?\", \"social media\"], [\"Did I read on 2015/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/02\": {\"exercise\": {\"eid\": \"e8530\", \"logical_representation\": [\"2015/08/02\", \"running\"], \"text_template_based\": \"I did running on 2015/08/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8531\", \"logical_representation\": [\"2015/08/02\", \"Nevaeh\", \"in the early evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2015/08/02?\", \"13 minutes\"], [\"who did I talk to on 2015/08/02?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2015/08/02?\", \"yes\"], [\"Did I talk to anyone on 2015/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8532\", \"logical_representation\": [\"2015/08/02\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/08/02?\", \"39 minutes\"], [\"what did I read on 2015/08/02?\", \"social media\"], [\"Did I read on 2015/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/05\": {\"exercise\": {\"eid\": \"e8540\", \"logical_representation\": [\"2015/08/05\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/08/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/05?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8541\", \"logical_representation\": [\"2015/08/05\", \"breakfast\", \"oatmeal\", \"Emily, Andrew\"], \"text_template_based\": \"I had oatmeal for breakfast with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/08/05?\", \"Emily, Andrew\"], [\"what did I eat for breakfast on 2015/08/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8542\", \"logical_representation\": [\"2015/08/05\", \"lunch\", \"tacos\", \"Piper, Olivia, Eva, Kinsley, Rylee, Hazel, Lydia, Avery, Claire\"], \"text_template_based\": \"I had tacos for lunch with Piper, Olivia, Eva, Kinsley, Rylee, Hazel, Lydia, Avery, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/08/05?\", \"Piper, Olivia, Eva, Kinsley, Rylee, Hazel, Lydia, Avery, Claire\"], [\"what did I eat for lunch on 2015/08/05\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2015/08/06\": {\"exercise\": {\"eid\": \"e8543\", \"logical_representation\": [\"2015/08/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/08/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8544\", \"logical_representation\": [\"2015/08/06\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8545\", \"logical_representation\": [\"2015/08/06\", \"lunch\", \"sushi\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had sushi for lunch with Kayden, Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/08/06?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2015/08/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8546\", \"logical_representation\": [\"2015/08/06\", \"Piper, Rylee, Piper, Avery\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee, Piper, Avery for 21 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Piper, Avery late in the evening on 2015/08/06?\", \"21 minutes\"], [\"who did I talk to on 2015/08/06?\", \"Piper, Rylee, Piper, Avery\"], [\"Did I talk to Piper, Rylee, Piper, Avery on 2015/08/06?\", \"yes\"], [\"Did I talk to anyone on 2015/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8547\", \"logical_representation\": [\"2015/08/06\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/08/06?\", \"52 minutes\"], [\"what did I read on 2015/08/06?\", \"news\"], [\"Did I read on 2015/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8548\", \"logical_representation\": [\"2015/08/06\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/06?\", \"27 minutes\"], [\"what did I watch on tv on 2015/08/06?\", \"a tv series\"], [\"Did I watch tv on 2015/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/07\": {\"lunch\": {\"eid\": \"e8549\", \"logical_representation\": [\"2015/08/07\", \"lunch\", \"chinese food\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8550\", \"logical_representation\": [\"2015/08/07\", \"dinner\", \"tacos\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/08/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8551\", \"logical_representation\": [\"2015/08/07\", \"Nora, Layla\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Nora, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla during lunch hours on 2015/08/07?\", \"12 minutes\"], [\"who did I talk to on 2015/08/07?\", \"Nora, Layla\"], [\"Did I talk to Nora, Layla on 2015/08/07?\", \"yes\"], [\"Did I talk to anyone on 2015/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8552\", \"logical_representation\": [\"2015/08/07\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/08/07?\", \"33 minutes\"], [\"what did I read on 2015/08/07?\", \"news\"], [\"Did I read on 2015/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/09\": {\"breakfast\": {\"eid\": \"e8554\", \"logical_representation\": [\"2015/08/09\", \"breakfast\", \"toast and cheese\", \"Avery, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/09\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8555\", \"logical_representation\": [\"2015/08/09\", \"dinner\", \"steak\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/08/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8556\", \"logical_representation\": [\"2015/08/09\", \"Avery, Eva, Lydia, Layla\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I talked to Avery, Eva, Lydia, Layla for 11 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Lydia, Layla in the morning on 2015/08/09?\", \"11 minutes\"], [\"who did I talk to on 2015/08/09?\", \"Avery, Eva, Lydia, Layla\"], [\"Did I talk to Avery, Eva, Lydia, Layla on 2015/08/09?\", \"yes\"], [\"Did I talk to anyone on 2015/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8557\", \"logical_representation\": [\"2015/08/09\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/08/09?\", \"9 minutes\"], [\"what did I read on 2015/08/09?\", \"news\"], [\"Did I read on 2015/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/10\": {\"exercise\": {\"eid\": \"e8558\", \"logical_representation\": [\"2015/08/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/08/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8559\", \"logical_representation\": [\"2015/08/10\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/08/10?\", \"48 minutes\"], [\"what did I read on 2015/08/10?\", \"a book\"], [\"Did I read on 2015/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/12\": {\"exercise\": {\"eid\": \"e8564\", \"logical_representation\": [\"2015/08/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/08/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8565\", \"logical_representation\": [\"2015/08/12\", \"breakfast\", \"toast and cheese\", \"Claire, Avery, Eva\"], \"text_template_based\": \"I had toast and cheese for breakfast with Claire, Avery, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/08/12?\", \"Claire, Avery, Eva\"], [\"what did I eat for breakfast on 2015/08/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8566\", \"logical_representation\": [\"2015/08/12\", \"dinner\", \"chinese food\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/08/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8567\", \"logical_representation\": [\"2015/08/12\", \"Avery, Kinsley, Hazel, Lydia\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Avery, Kinsley, Hazel, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley, Hazel, Lydia in the morning on 2015/08/12?\", \"22 minutes\"], [\"who did I talk to on 2015/08/12?\", \"Avery, Kinsley, Hazel, Lydia\"], [\"Did I talk to Avery, Kinsley, Hazel, Lydia on 2015/08/12?\", \"yes\"], [\"Did I talk to anyone on 2015/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/15\": {\"breakfast\": {\"eid\": \"e8575\", \"logical_representation\": [\"2015/08/15\", \"breakfast\", \"oatmeal\", \"Piper, Avery, Nora, Claire, Rylee, Olivia\"], \"text_template_based\": \"I had breakfast with Piper, Avery, Nora, Claire, Rylee, Olivia. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/08/15?\", \"Piper, Avery, Nora, Claire, Rylee, Olivia\"], [\"what did I eat for breakfast on 2015/08/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8576\", \"logical_representation\": [\"2015/08/15\", \"lunch\", \"indian food\", \"Nevaeh, Claire, Kinsley, Olivia\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8577\", \"logical_representation\": [\"2015/08/15\", \"dinner\", \"sandwich\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had sandwich for dinner with Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/08/15?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for dinner on 2015/08/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8578\", \"logical_representation\": [\"2015/08/15\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/08/15?\", \"36 minutes\"], [\"what did I read on 2015/08/15?\", \"a book\"], [\"Did I read on 2015/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8579\", \"logical_representation\": [\"2015/08/15\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/15?\", \"35 minutes\"], [\"what did I watch on tv on 2015/08/15?\", \"news\"], [\"Did I watch tv on 2015/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/17\": {\"exercise\": {\"eid\": \"e8583\", \"logical_representation\": [\"2015/08/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/08/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8584\", \"logical_representation\": [\"2015/08/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Olivia\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8585\", \"logical_representation\": [\"2015/08/17\", \"lunch\", \"fish and chips\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/08/17?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2015/08/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8586\", \"logical_representation\": [\"2015/08/17\", \"Eva, Olivia\", \"in the early afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Eva, Olivia for 5 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia in the early afternoon on 2015/08/17?\", \"5 minutes\"], [\"who did I talk to on 2015/08/17?\", \"Eva, Olivia\"], [\"Did I talk to Eva, Olivia on 2015/08/17?\", \"yes\"], [\"Did I talk to anyone on 2015/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8587\", \"logical_representation\": [\"2015/08/17\", \"news\", \"40 minutes\"], \"text_template_based\": \"I watched news for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/17?\", \"40 minutes\"], [\"what did I watch on tv on 2015/08/17?\", \"news\"], [\"Did I watch tv on 2015/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/18\": {\"breakfast\": {\"eid\": \"e8588\", \"logical_representation\": [\"2015/08/18\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8589\", \"logical_representation\": [\"2015/08/18\", \"lunch\", \"indian food\", \"Carter, Emily\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8590\", \"logical_representation\": [\"2015/08/18\", \"Lydia, Piper\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Lydia, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper in the early evening on 2015/08/18?\", \"53 minutes\"], [\"who did I talk to on 2015/08/18?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2015/08/18?\", \"yes\"], [\"Did I talk to anyone on 2015/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8591\", \"logical_representation\": [\"2015/08/18\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/08/18?\", \"18 minutes\"], [\"what did I read on 2015/08/18?\", \"social media\"], [\"Did I read on 2015/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/19\": {\"breakfast\": {\"eid\": \"e8592\", \"logical_representation\": [\"2015/08/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Nora, Hazel, Kinsley, Avery, Claire, Lydia, Eva, Layla\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8593\", \"logical_representation\": [\"2015/08/19\", \"lunch\", \"a burger\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8594\", \"logical_representation\": [\"2015/08/19\", \"dinner\", \"sushi\", \"Andrew, Carter\"], \"text_template_based\": \"I had sushi for dinner with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/08/19?\", \"Andrew, Carter\"], [\"what did I eat for dinner on 2015/08/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8595\", \"logical_representation\": [\"2015/08/19\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/19?\", \"6 minutes\"], [\"what did I watch on tv on 2015/08/19?\", \"news\"], [\"Did I watch tv on 2015/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/20\": {\"breakfast\": {\"eid\": \"e8596\", \"logical_representation\": [\"2015/08/20\", \"breakfast\", \"toast and cheese\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had toast and cheese for breakfast with Benjamin, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/08/20?\", \"Benjamin, Avery, Jackson\"], [\"what did I eat for breakfast on 2015/08/20\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8597\", \"logical_representation\": [\"2015/08/20\", \"lunch\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8598\", \"logical_representation\": [\"2015/08/20\", \"dinner\", \"tacos\", \"Piper, Avery, Olivia, Kinsley, Hazel, Rylee, Nevaeh, Layla, Eva, Nora, Piper\"], \"text_template_based\": \"I had tacos for dinner with Piper, Avery, Olivia, Kinsley, Hazel, Rylee, Nevaeh, Layla, Eva, Nora, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/08/20?\", \"Piper, Avery, Olivia, Kinsley, Hazel, Rylee, Nevaeh, Layla, Eva, Nora, Piper\"], [\"what did I eat for dinner on 2015/08/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8599\", \"logical_representation\": [\"2015/08/20\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/08/20?\", \"25 minutes\"], [\"what did I read on 2015/08/20?\", \"social media\"], [\"Did I read on 2015/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/22\": {\"breakfast\": {\"eid\": \"e8605\", \"logical_representation\": [\"2015/08/22\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/08/22?\", \"Emily, Andrew\"], [\"what did I eat for breakfast on 2015/08/22\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8606\", \"logical_representation\": [\"2015/08/22\", \"Claire\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2015/08/22?\", \"14 minutes\"], [\"who did I talk to on 2015/08/22?\", \"Claire\"], [\"Did I talk to Claire on 2015/08/22?\", \"yes\"], [\"Did I talk to anyone on 2015/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/23\": {\"breakfast\": {\"eid\": \"e8607\", \"logical_representation\": [\"2015/08/23\", \"breakfast\", \"oatmeal\", \"Eva, Piper, Nora, Rylee, Kinsley, Lydia\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8608\", \"logical_representation\": [\"2015/08/23\", \"lunch\", \"sandwich\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8609\", \"logical_representation\": [\"2015/08/23\", \"Layla, Nora, Piper\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I talked to Layla, Nora, Piper for 54 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Piper during lunch hours on 2015/08/23?\", \"54 minutes\"], [\"who did I talk to on 2015/08/23?\", \"Layla, Nora, Piper\"], [\"Did I talk to Layla, Nora, Piper on 2015/08/23?\", \"yes\"], [\"Did I talk to anyone on 2015/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/24\": {\"exercise\": {\"eid\": \"e8610\", \"logical_representation\": [\"2015/08/24\", \"running\"], \"text_template_based\": \"I did running on 2015/08/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/24?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8611\", \"logical_representation\": [\"2015/08/24\", \"lunch\", \"steak\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had lunch with Avery, Benjamin, Willow. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/08/24?\", \"Avery, Benjamin, Willow\"], [\"what did I eat for lunch on 2015/08/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8612\", \"logical_representation\": [\"2015/08/24\", \"Avery\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2015/08/24?\", \"25 minutes\"], [\"who did I talk to on 2015/08/24?\", \"Avery\"], [\"Did I talk to Avery on 2015/08/24?\", \"yes\"], [\"Did I talk to anyone on 2015/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8613\", \"logical_representation\": [\"2015/08/24\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/08/24?\", \"17 minutes\"], [\"what did I read on 2015/08/24?\", \"news\"], [\"Did I read on 2015/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8614\", \"logical_representation\": [\"2015/08/24\", \"news\", \"19 minutes\"], \"text_template_based\": \"I watched news for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/24?\", \"19 minutes\"], [\"what did I watch on tv on 2015/08/24?\", \"news\"], [\"Did I watch tv on 2015/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/26\": {\"exercise\": {\"eid\": \"e8619\", \"logical_representation\": [\"2015/08/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/08/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8620\", \"logical_representation\": [\"2015/08/26\", \"lunch\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8621\", \"logical_representation\": [\"2015/08/26\", \"dinner\", \"indian food\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/08/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8622\", \"logical_representation\": [\"2015/08/26\", \"Eva, Piper\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Eva, Piper for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper late in the evening on 2015/08/26?\", \"18 minutes\"], [\"who did I talk to on 2015/08/26?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2015/08/26?\", \"yes\"], [\"Did I talk to anyone on 2015/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8623\", \"logical_representation\": [\"2015/08/26\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/08/26?\", \"21 minutes\"], [\"what did I read on 2015/08/26?\", \"news\"], [\"Did I read on 2015/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8624\", \"logical_representation\": [\"2015/08/26\", \"a tv series\", \"38 minutes\"], \"text_template_based\": \"I watched a tv series for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/26?\", \"38 minutes\"], [\"what did I watch on tv on 2015/08/26?\", \"a tv series\"], [\"Did I watch tv on 2015/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/28\": {\"breakfast\": {\"eid\": \"e8629\", \"logical_representation\": [\"2015/08/28\", \"breakfast\", \"oatmeal\", \"Layla, Kinsley, Nevaeh, Claire\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8630\", \"logical_representation\": [\"2015/08/28\", \"Kinsley, Nora\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora for 7 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora during lunch hours on 2015/08/28?\", \"7 minutes\"], [\"who did I talk to on 2015/08/28?\", \"Kinsley, Nora\"], [\"Did I talk to Kinsley, Nora on 2015/08/28?\", \"yes\"], [\"Did I talk to anyone on 2015/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8631\", \"logical_representation\": [\"2015/08/28\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/08/28?\", \"39 minutes\"], [\"what did I read on 2015/08/28?\", \"news\"], [\"Did I read on 2015/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8632\", \"logical_representation\": [\"2015/08/28\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/28?\", \"14 minutes\"], [\"what did I watch on tv on 2015/08/28?\", \"news\"], [\"Did I watch tv on 2015/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/29\": {\"chat0\": {\"eid\": \"e8633\", \"logical_representation\": [\"2015/08/29\", \"Eva, Nora\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Eva, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora in the late afternoon on 2015/08/29?\", \"6 minutes\"], [\"who did I talk to on 2015/08/29?\", \"Eva, Nora\"], [\"Did I talk to Eva, Nora on 2015/08/29?\", \"yes\"], [\"Did I talk to anyone on 2015/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8634\", \"logical_representation\": [\"2015/08/29\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/08/29?\", \"46 minutes\"], [\"what did I read on 2015/08/29?\", \"social media\"], [\"Did I read on 2015/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8635\", \"logical_representation\": [\"2015/08/29\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/29?\", \"8 minutes\"], [\"what did I watch on tv on 2015/08/29?\", \"news\"], [\"Did I watch tv on 2015/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/30\": {\"exercise\": {\"eid\": \"e8636\", \"logical_representation\": [\"2015/08/30\", \"biking\"], \"text_template_based\": \"I did biking on 2015/08/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8637\", \"logical_representation\": [\"2015/08/30\", \"Hazel, Eva, Kinsley, Avery\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Hazel, Eva, Kinsley, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Eva, Kinsley, Avery in the morning on 2015/08/30?\", \"5 minutes\"], [\"who did I talk to on 2015/08/30?\", \"Hazel, Eva, Kinsley, Avery\"], [\"Did I talk to Hazel, Eva, Kinsley, Avery on 2015/08/30?\", \"yes\"], [\"Did I talk to anyone on 2015/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8638\", \"logical_representation\": [\"2015/08/30\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/30?\", \"26 minutes\"], [\"what did I watch on tv on 2015/08/30?\", \"news\"], [\"Did I watch tv on 2015/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/31\": {\"exercise\": {\"eid\": \"e8639\", \"logical_representation\": [\"2015/08/31\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/08/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/31?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8640\", \"logical_representation\": [\"2015/08/31\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/31\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8641\", \"logical_representation\": [\"2015/08/31\", \"Olivia\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2015/08/31?\", \"52 minutes\"], [\"who did I talk to on 2015/08/31?\", \"Olivia\"], [\"Did I talk to Olivia on 2015/08/31?\", \"yes\"], [\"Did I talk to anyone on 2015/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8642\", \"logical_representation\": [\"2015/08/31\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/08/31?\", \"43 minutes\"], [\"what did I read on 2015/08/31?\", \"news\"], [\"Did I read on 2015/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8643\", \"logical_representation\": [\"2015/08/31\", \"a documentary\", \"38 minutes\"], \"text_template_based\": \"I watched a documentary for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/31?\", \"38 minutes\"], [\"what did I watch on tv on 2015/08/31?\", \"a documentary\"], [\"Did I watch tv on 2015/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/01\": {\"lunch\": {\"eid\": \"e8644\", \"logical_representation\": [\"2015/09/01\", \"lunch\", \"fish and chips\", \"Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/09/01?\", \"Kayden, Andrew\"], [\"what did I eat for lunch on 2015/09/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8645\", \"logical_representation\": [\"2015/09/01\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/09/01?\", \"26 minutes\"], [\"what did I read on 2015/09/01?\", \"social media\"], [\"Did I read on 2015/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/03\": {\"breakfast\": {\"eid\": \"e8650\", \"logical_representation\": [\"2015/09/03\", \"breakfast\", \"cereals\", \"Nora, Rylee, Piper, Claire\"], \"text_template_based\": \"I had breakfast with Nora, Rylee, Piper, Claire. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/09/03?\", \"Nora, Rylee, Piper, Claire\"], [\"what did I eat for breakfast on 2015/09/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8651\", \"logical_representation\": [\"2015/09/03\", \"lunch\", \"chinese food\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/09/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8652\", \"logical_representation\": [\"2015/09/03\", \"Lydia\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Lydia for 34 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2015/09/03?\", \"34 minutes\"], [\"who did I talk to on 2015/09/03?\", \"Lydia\"], [\"Did I talk to Lydia on 2015/09/03?\", \"yes\"], [\"Did I talk to anyone on 2015/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8653\", \"logical_representation\": [\"2015/09/03\", \"a movie\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/03?\", \"16 minutes\"], [\"what did I watch on tv on 2015/09/03?\", \"a movie\"], [\"Did I watch tv on 2015/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/04\": {\"breakfast\": {\"eid\": \"e8654\", \"logical_representation\": [\"2015/09/04\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8655\", \"logical_representation\": [\"2015/09/04\", \"dinner\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/04\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/09/05\": {\"exercise\": {\"eid\": \"e8656\", \"logical_representation\": [\"2015/09/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/09/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8657\", \"logical_representation\": [\"2015/09/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8658\", \"logical_representation\": [\"2015/09/05\", \"lunch\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had sandwich for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/09/05?\", \"Emily\"], [\"what did I eat for lunch on 2015/09/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8659\", \"logical_representation\": [\"2015/09/05\", \"dinner\", \"steak\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8660\", \"logical_representation\": [\"2015/09/05\", \"Lydia, Layla, Nora, Piper\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Lydia, Layla, Nora, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla, Nora, Piper during lunch hours on 2015/09/05?\", \"49 minutes\"], [\"who did I talk to on 2015/09/05?\", \"Lydia, Layla, Nora, Piper\"], [\"Did I talk to Lydia, Layla, Nora, Piper on 2015/09/05?\", \"yes\"], [\"Did I talk to anyone on 2015/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8661\", \"logical_representation\": [\"2015/09/05\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/09/05?\", \"13 minutes\"], [\"what did I read on 2015/09/05?\", \"social media\"], [\"Did I read on 2015/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8662\", \"logical_representation\": [\"2015/09/05\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/05?\", \"14 minutes\"], [\"what did I watch on tv on 2015/09/05?\", \"news\"], [\"Did I watch tv on 2015/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/06\": {\"breakfast\": {\"eid\": \"e8663\", \"logical_representation\": [\"2015/09/06\", \"breakfast\", \"toast and cheese\", \"Jackson\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8664\", \"logical_representation\": [\"2015/09/06\", \"dinner\", \"sandwich\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8665\", \"logical_representation\": [\"2015/09/06\", \"Nevaeh\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 34 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh during lunch hours on 2015/09/06?\", \"34 minutes\"], [\"who did I talk to on 2015/09/06?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2015/09/06?\", \"yes\"], [\"Did I talk to anyone on 2015/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8666\", \"logical_representation\": [\"2015/09/06\", \"news\", \"41 minutes\"], \"text_template_based\": \"I watched news for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/06?\", \"41 minutes\"], [\"what did I watch on tv on 2015/09/06?\", \"news\"], [\"Did I watch tv on 2015/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/10\": {\"exercise\": {\"eid\": \"e8680\", \"logical_representation\": [\"2015/09/10\", \"running\"], \"text_template_based\": \"I did running on 2015/09/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/10?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8681\", \"logical_representation\": [\"2015/09/10\", \"breakfast\", \"toast and cheese\", \"Emily, Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8682\", \"logical_representation\": [\"2015/09/10\", \"lunch\", \"tacos\", \"Olivia, Piper, Rylee, Piper, Layla, Nora, Hazel, Eva, Claire\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/09/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8683\", \"logical_representation\": [\"2015/09/10\", \"dinner\", \"tacos\", \"Nevaeh, Nora, Piper, Olivia, Hazel\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8684\", \"logical_representation\": [\"2015/09/10\", \"Eva\", \"late in the evening\", \"54 minutes\"], \"text_template_based\": \"I talked to Eva for 54 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2015/09/10?\", \"54 minutes\"], [\"who did I talk to on 2015/09/10?\", \"Eva\"], [\"Did I talk to Eva on 2015/09/10?\", \"yes\"], [\"Did I talk to anyone on 2015/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8685\", \"logical_representation\": [\"2015/09/10\", \"a documentary\", \"11 minutes\"], \"text_template_based\": \"I watched a documentary for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/10?\", \"11 minutes\"], [\"what did I watch on tv on 2015/09/10?\", \"a documentary\"], [\"Did I watch tv on 2015/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/11\": {\"breakfast\": {\"eid\": \"e8686\", \"logical_representation\": [\"2015/09/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8687\", \"logical_representation\": [\"2015/09/11\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/09/11?\", \"7 minutes\"], [\"what did I read on 2015/09/11?\", \"social media\"], [\"Did I read on 2015/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8688\", \"logical_representation\": [\"2015/09/11\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/11?\", \"22 minutes\"], [\"what did I watch on tv on 2015/09/11?\", \"a movie\"], [\"Did I watch tv on 2015/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/12\": {\"exercise\": {\"eid\": \"e8689\", \"logical_representation\": [\"2015/09/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/09/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8690\", \"logical_representation\": [\"2015/09/12\", \"breakfast\", \"cereals\", \"Piper, Olivia\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8691\", \"logical_representation\": [\"2015/09/12\", \"lunch\", \"indian food\", \"Piper, Lydia, Olivia, Nora, Avery, Rylee, Kinsley, Layla, Eva, Nevaeh\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/09/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8692\", \"logical_representation\": [\"2015/09/12\", \"dinner\", \"fish and chips\", \"Willow\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8693\", \"logical_representation\": [\"2015/09/12\", \"Kinsley, Rylee\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee for 41 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee in the early afternoon on 2015/09/12?\", \"41 minutes\"], [\"who did I talk to on 2015/09/12?\", \"Kinsley, Rylee\"], [\"Did I talk to Kinsley, Rylee on 2015/09/12?\", \"yes\"], [\"Did I talk to anyone on 2015/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8694\", \"logical_representation\": [\"2015/09/12\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/09/12?\", \"31 minutes\"], [\"what did I read on 2015/09/12?\", \"news\"], [\"Did I read on 2015/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/14\": {\"exercise\": {\"eid\": \"e8696\", \"logical_representation\": [\"2015/09/14\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/09/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/14?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8697\", \"logical_representation\": [\"2015/09/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8698\", \"logical_representation\": [\"2015/09/14\", \"Lydia\", \"late in the evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2015/09/14?\", \"19 minutes\"], [\"who did I talk to on 2015/09/14?\", \"Lydia\"], [\"Did I talk to Lydia on 2015/09/14?\", \"yes\"], [\"Did I talk to anyone on 2015/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8699\", \"logical_representation\": [\"2015/09/14\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I watched a documentary for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/14?\", \"42 minutes\"], [\"what did I watch on tv on 2015/09/14?\", \"a documentary\"], [\"Did I watch tv on 2015/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/16\": {\"exercise\": {\"eid\": \"e8703\", \"logical_representation\": [\"2015/09/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8704\", \"logical_representation\": [\"2015/09/16\", \"breakfast\", \"pancakes\", \"Carter, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Emily. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/09/16?\", \"Carter, Emily\"], [\"what did I eat for breakfast on 2015/09/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8705\", \"logical_representation\": [\"2015/09/16\", \"Nora, Nevaeh\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Nora, Nevaeh for 26 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh in the early evening on 2015/09/16?\", \"26 minutes\"], [\"who did I talk to on 2015/09/16?\", \"Nora, Nevaeh\"], [\"Did I talk to Nora, Nevaeh on 2015/09/16?\", \"yes\"], [\"Did I talk to anyone on 2015/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8706\", \"logical_representation\": [\"2015/09/16\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/09/16?\", \"9 minutes\"], [\"what did I read on 2015/09/16?\", \"a book\"], [\"Did I read on 2015/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/17\": {\"dinner\": {\"eid\": \"e8707\", \"logical_representation\": [\"2015/09/17\", \"dinner\", \"a burger\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8708\", \"logical_representation\": [\"2015/09/17\", \"Eva, Avery, Piper\", \"late in the evening\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Eva, Avery, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Piper late in the evening on 2015/09/17?\", \"54 minutes\"], [\"who did I talk to on 2015/09/17?\", \"Eva, Avery, Piper\"], [\"Did I talk to Eva, Avery, Piper on 2015/09/17?\", \"yes\"], [\"Did I talk to anyone on 2015/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8709\", \"logical_representation\": [\"2015/09/17\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/17?\", \"39 minutes\"], [\"what did I watch on tv on 2015/09/17?\", \"news\"], [\"Did I watch tv on 2015/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/18\": {\"exercise\": {\"eid\": \"e8710\", \"logical_representation\": [\"2015/09/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/09/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8711\", \"logical_representation\": [\"2015/09/18\", \"lunch\", \"indian food\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/09/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8712\", \"logical_representation\": [\"2015/09/18\", \"Hazel, Piper, Nora, Rylee\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Hazel, Piper, Nora, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Nora, Rylee in the early afternoon on 2015/09/18?\", \"44 minutes\"], [\"who did I talk to on 2015/09/18?\", \"Hazel, Piper, Nora, Rylee\"], [\"Did I talk to Hazel, Piper, Nora, Rylee on 2015/09/18?\", \"yes\"], [\"Did I talk to anyone on 2015/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8713\", \"logical_representation\": [\"2015/09/18\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/09/18?\", \"18 minutes\"], [\"what did I read on 2015/09/18?\", \"news\"], [\"Did I read on 2015/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8714\", \"logical_representation\": [\"2015/09/18\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/18?\", \"9 minutes\"], [\"what did I watch on tv on 2015/09/18?\", \"a tv series\"], [\"Did I watch tv on 2015/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/19\": {\"exercise\": {\"eid\": \"e8715\", \"logical_representation\": [\"2015/09/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/09/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8716\", \"logical_representation\": [\"2015/09/19\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8717\", \"logical_representation\": [\"2015/09/19\", \"lunch\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had indian food for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/09/19?\", \"Emily\"], [\"what did I eat for lunch on 2015/09/19\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8718\", \"logical_representation\": [\"2015/09/19\", \"dinner\", \"fish and chips\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Emily, Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/09/19?\", \"Kayden, Emily, Carter\"], [\"what did I eat for dinner on 2015/09/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8719\", \"logical_representation\": [\"2015/09/19\", \"Lydia\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2015/09/19?\", \"39 minutes\"], [\"who did I talk to on 2015/09/19?\", \"Lydia\"], [\"Did I talk to Lydia on 2015/09/19?\", \"yes\"], [\"Did I talk to anyone on 2015/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8720\", \"logical_representation\": [\"2015/09/19\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/09/19?\", \"53 minutes\"], [\"what did I read on 2015/09/19?\", \"social media\"], [\"Did I read on 2015/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8721\", \"logical_representation\": [\"2015/09/19\", \"news\", \"16 minutes\"], \"text_template_based\": \"I watched news for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/19?\", \"16 minutes\"], [\"what did I watch on tv on 2015/09/19?\", \"news\"], [\"Did I watch tv on 2015/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/21\": {\"exercise\": {\"eid\": \"e8724\", \"logical_representation\": [\"2015/09/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/09/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8725\", \"logical_representation\": [\"2015/09/21\", \"breakfast\", \"toast and cheese\", \"Olivia\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8726\", \"logical_representation\": [\"2015/09/21\", \"lunch\", \"tacos\", \"Piper, Layla\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/09/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8727\", \"logical_representation\": [\"2015/09/21\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8728\", \"logical_representation\": [\"2015/09/21\", \"Kinsley, Nevaeh\", \"during lunch hours\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Kinsley, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh during lunch hours on 2015/09/21?\", \"30 minutes\"], [\"who did I talk to on 2015/09/21?\", \"Kinsley, Nevaeh\"], [\"Did I talk to Kinsley, Nevaeh on 2015/09/21?\", \"yes\"], [\"Did I talk to anyone on 2015/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8729\", \"logical_representation\": [\"2015/09/21\", \"a movie\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/21?\", \"38 minutes\"], [\"what did I watch on tv on 2015/09/21?\", \"a movie\"], [\"Did I watch tv on 2015/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/22\": {\"chat0\": {\"eid\": \"e8730\", \"logical_representation\": [\"2015/09/22\", \"Eva, Avery, Piper, Lydia\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Eva, Avery, Piper, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Piper, Lydia late in the evening on 2015/09/22?\", \"42 minutes\"], [\"who did I talk to on 2015/09/22?\", \"Eva, Avery, Piper, Lydia\"], [\"Did I talk to Eva, Avery, Piper, Lydia on 2015/09/22?\", \"yes\"], [\"Did I talk to anyone on 2015/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8731\", \"logical_representation\": [\"2015/09/22\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/09/22?\", \"35 minutes\"], [\"what did I read on 2015/09/22?\", \"news\"], [\"Did I read on 2015/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/23\": {\"exercise\": {\"eid\": \"e8732\", \"logical_representation\": [\"2015/09/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/09/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8733\", \"logical_representation\": [\"2015/09/23\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had fish and chips for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/09/23?\", \"Kayden\"], [\"what did I eat for lunch on 2015/09/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8734\", \"logical_representation\": [\"2015/09/23\", \"dinner\", \"pasta\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8735\", \"logical_representation\": [\"2015/09/23\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/09/23?\", \"52 minutes\"], [\"what did I read on 2015/09/23?\", \"news\"], [\"Did I read on 2015/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/26\": {\"exercise\": {\"eid\": \"e8739\", \"logical_representation\": [\"2015/09/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/09/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8740\", \"logical_representation\": [\"2015/09/26\", \"dinner\", \"tacos\", \"Kinsley, Olivia, Layla\"], \"text_template_based\": \"I had dinner with Kinsley, Olivia, Layla. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/09/26?\", \"Kinsley, Olivia, Layla\"], [\"what did I eat for dinner on 2015/09/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8741\", \"logical_representation\": [\"2015/09/26\", \"Olivia, Kinsley, Claire, Nevaeh\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley, Claire, Nevaeh for 47 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Claire, Nevaeh in the early evening on 2015/09/26?\", \"47 minutes\"], [\"who did I talk to on 2015/09/26?\", \"Olivia, Kinsley, Claire, Nevaeh\"], [\"Did I talk to Olivia, Kinsley, Claire, Nevaeh on 2015/09/26?\", \"yes\"], [\"Did I talk to anyone on 2015/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/29\": {\"dinner\": {\"eid\": \"e8751\", \"logical_representation\": [\"2015/09/29\", \"dinner\", \"sandwich\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8752\", \"logical_representation\": [\"2015/09/29\", \"Nevaeh, Lydia, Nora\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Nevaeh, Lydia, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Nora in the late afternoon on 2015/09/29?\", \"24 minutes\"], [\"who did I talk to on 2015/09/29?\", \"Nevaeh, Lydia, Nora\"], [\"Did I talk to Nevaeh, Lydia, Nora on 2015/09/29?\", \"yes\"], [\"Did I talk to anyone on 2015/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8753\", \"logical_representation\": [\"2015/09/29\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/09/29?\", \"16 minutes\"], [\"what did I read on 2015/09/29?\", \"a book\"], [\"Did I read on 2015/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8754\", \"logical_representation\": [\"2015/09/29\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I watched a tv series for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/29?\", \"33 minutes\"], [\"what did I watch on tv on 2015/09/29?\", \"a tv series\"], [\"Did I watch tv on 2015/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/30\": {\"exercise\": {\"eid\": \"e8755\", \"logical_representation\": [\"2015/09/30\", \"biking\"], \"text_template_based\": \"I did biking on 2015/09/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8756\", \"logical_representation\": [\"2015/09/30\", \"lunch\", \"steak\", \"Benjamin, Jackson\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/09/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8757\", \"logical_representation\": [\"2015/09/30\", \"Piper, Piper, Lydia, Nevaeh\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I talked to Piper, Piper, Lydia, Nevaeh for 46 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Lydia, Nevaeh during lunch hours on 2015/09/30?\", \"46 minutes\"], [\"who did I talk to on 2015/09/30?\", \"Piper, Piper, Lydia, Nevaeh\"], [\"Did I talk to Piper, Piper, Lydia, Nevaeh on 2015/09/30?\", \"yes\"], [\"Did I talk to anyone on 2015/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/02\": {\"lunch\": {\"eid\": \"e8760\", \"logical_representation\": [\"2015/10/02\", \"lunch\", \"sushi\", \"Willow\"], \"text_template_based\": \"I had sushi for lunch with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/10/02?\", \"Willow\"], [\"what did I eat for lunch on 2015/10/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8761\", \"logical_representation\": [\"2015/10/02\", \"dinner\", \"tacos\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8762\", \"logical_representation\": [\"2015/10/02\", \"Kinsley, Avery, Nora\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Kinsley, Avery, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Nora in the early evening on 2015/10/02?\", \"37 minutes\"], [\"who did I talk to on 2015/10/02?\", \"Kinsley, Avery, Nora\"], [\"Did I talk to Kinsley, Avery, Nora on 2015/10/02?\", \"yes\"], [\"Did I talk to anyone on 2015/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/04\": {\"exercise\": {\"eid\": \"e8764\", \"logical_representation\": [\"2015/10/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/10/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8765\", \"logical_representation\": [\"2015/10/04\", \"lunch\", \"a burger\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/10/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8766\", \"logical_representation\": [\"2015/10/04\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/10/04?\", \"53 minutes\"], [\"what did I read on 2015/10/04?\", \"news\"], [\"Did I read on 2015/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/05\": {\"exercise\": {\"eid\": \"e8767\", \"logical_representation\": [\"2015/10/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/10/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8768\", \"logical_representation\": [\"2015/10/05\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I had oatmeal for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/10/05?\", \"Emily\"], [\"what did I eat for breakfast on 2015/10/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8769\", \"logical_representation\": [\"2015/10/05\", \"Rylee, Kinsley, Piper\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Rylee, Kinsley, Piper for 23 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Piper in the early evening on 2015/10/05?\", \"23 minutes\"], [\"who did I talk to on 2015/10/05?\", \"Rylee, Kinsley, Piper\"], [\"Did I talk to Rylee, Kinsley, Piper on 2015/10/05?\", \"yes\"], [\"Did I talk to anyone on 2015/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8770\", \"logical_representation\": [\"2015/10/05\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/10/05?\", \"55 minutes\"], [\"what did I read on 2015/10/05?\", \"a book\"], [\"Did I read on 2015/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8771\", \"logical_representation\": [\"2015/10/05\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/05?\", \"10 minutes\"], [\"what did I watch on tv on 2015/10/05?\", \"news\"], [\"Did I watch tv on 2015/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/08\": {\"exercise\": {\"eid\": \"e8777\", \"logical_representation\": [\"2015/10/08\", \"running\"], \"text_template_based\": \"I did running on 2015/10/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8778\", \"logical_representation\": [\"2015/10/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee, Avery, Lydia, Eva, Nevaeh, Olivia, Claire, Piper, Hazel, Nora, Layla\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/10/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8779\", \"logical_representation\": [\"2015/10/08\", \"Olivia\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Olivia for 45 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2015/10/08?\", \"45 minutes\"], [\"who did I talk to on 2015/10/08?\", \"Olivia\"], [\"Did I talk to Olivia on 2015/10/08?\", \"yes\"], [\"Did I talk to anyone on 2015/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8780\", \"logical_representation\": [\"2015/10/08\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/10/08?\", \"34 minutes\"], [\"what did I read on 2015/10/08?\", \"a book\"], [\"Did I read on 2015/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8781\", \"logical_representation\": [\"2015/10/08\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/08?\", \"18 minutes\"], [\"what did I watch on tv on 2015/10/08?\", \"a tv series\"], [\"Did I watch tv on 2015/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/09\": {\"exercise\": {\"eid\": \"e8782\", \"logical_representation\": [\"2015/10/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/10/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8783\", \"logical_representation\": [\"2015/10/09\", \"Olivia, Piper\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Olivia, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper in the late afternoon on 2015/10/09?\", \"49 minutes\"], [\"who did I talk to on 2015/10/09?\", \"Olivia, Piper\"], [\"Did I talk to Olivia, Piper on 2015/10/09?\", \"yes\"], [\"Did I talk to anyone on 2015/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/11\": {\"exercise\": {\"eid\": \"e8789\", \"logical_representation\": [\"2015/10/11\", \"running\"], \"text_template_based\": \"I did running on 2015/10/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8790\", \"logical_representation\": [\"2015/10/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/10/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8791\", \"logical_representation\": [\"2015/10/11\", \"lunch\", \"sushi\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had sushi for lunch with Willow, Benjamin, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/10/11?\", \"Willow, Benjamin, Jackson, Avery\"], [\"what did I eat for lunch on 2015/10/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8792\", \"logical_representation\": [\"2015/10/11\", \"dinner\", \"a burger\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8793\", \"logical_representation\": [\"2015/10/11\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/10/11?\", \"44 minutes\"], [\"what did I read on 2015/10/11?\", \"social media\"], [\"Did I read on 2015/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/12\": {\"exercise\": {\"eid\": \"e8794\", \"logical_representation\": [\"2015/10/12\", \"running\"], \"text_template_based\": \"I did running on 2015/10/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/12?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8795\", \"logical_representation\": [\"2015/10/12\", \"dinner\", \"pasta\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had pasta for dinner with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/10/12?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2015/10/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8796\", \"logical_representation\": [\"2015/10/12\", \"Lydia, Hazel, Piper\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Lydia, Hazel, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Piper during lunch hours on 2015/10/12?\", \"35 minutes\"], [\"who did I talk to on 2015/10/12?\", \"Lydia, Hazel, Piper\"], [\"Did I talk to Lydia, Hazel, Piper on 2015/10/12?\", \"yes\"], [\"Did I talk to anyone on 2015/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8797\", \"logical_representation\": [\"2015/10/12\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/10/12?\", \"27 minutes\"], [\"what did I read on 2015/10/12?\", \"a book\"], [\"Did I read on 2015/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/13\": {\"exercise\": {\"eid\": \"e8798\", \"logical_representation\": [\"2015/10/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/10/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8799\", \"logical_representation\": [\"2015/10/13\", \"lunch\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had a burger for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/10/13?\", \"Andrew\"], [\"what did I eat for lunch on 2015/10/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8800\", \"logical_representation\": [\"2015/10/13\", \"dinner\", \"sushi\", \"Olivia, Hazel, Claire, Piper, Eva, Rylee, Nevaeh, Piper, Layla, Nora, Avery\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8801\", \"logical_representation\": [\"2015/10/13\", \"Kinsley, Eva\", \"in the morning\", \"53 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva for 53 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva in the morning on 2015/10/13?\", \"53 minutes\"], [\"who did I talk to on 2015/10/13?\", \"Kinsley, Eva\"], [\"Did I talk to Kinsley, Eva on 2015/10/13?\", \"yes\"], [\"Did I talk to anyone on 2015/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8802\", \"logical_representation\": [\"2015/10/13\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/10/13?\", \"32 minutes\"], [\"what did I read on 2015/10/13?\", \"social media\"], [\"Did I read on 2015/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/14\": {\"dinner\": {\"eid\": \"e8803\", \"logical_representation\": [\"2015/10/14\", \"dinner\", \"indian food\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8804\", \"logical_representation\": [\"2015/10/14\", \"Kinsley, Avery, Piper, Claire\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Kinsley, Avery, Piper, Claire for 39 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Piper, Claire in the early afternoon on 2015/10/14?\", \"39 minutes\"], [\"who did I talk to on 2015/10/14?\", \"Kinsley, Avery, Piper, Claire\"], [\"Did I talk to Kinsley, Avery, Piper, Claire on 2015/10/14?\", \"yes\"], [\"Did I talk to anyone on 2015/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8805\", \"logical_representation\": [\"2015/10/14\", \"Nevaeh, Lydia, Piper\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia, Piper for 19 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Piper in the late afternoon on 2015/10/14?\", \"19 minutes\"], [\"who did I talk to on 2015/10/14?\", \"Nevaeh, Lydia, Piper\"], [\"Did I talk to Nevaeh, Lydia, Piper on 2015/10/14?\", \"yes\"], [\"Did I talk to anyone on 2015/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8806\", \"logical_representation\": [\"2015/10/14\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/10/14?\", \"27 minutes\"], [\"what did I read on 2015/10/14?\", \"news\"], [\"Did I read on 2015/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8807\", \"logical_representation\": [\"2015/10/14\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I watched a documentary for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/14?\", \"54 minutes\"], [\"what did I watch on tv on 2015/10/14?\", \"a documentary\"], [\"Did I watch tv on 2015/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/15\": {\"exercise\": {\"eid\": \"e8808\", \"logical_representation\": [\"2015/10/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8809\", \"logical_representation\": [\"2015/10/15\", \"lunch\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/10/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8810\", \"logical_representation\": [\"2015/10/15\", \"dinner\", \"tacos\", \"Kinsley, Hazel, Eva, Olivia, Lydia, Avery, Piper, Layla, Nevaeh, Rylee\"], \"text_template_based\": \"I had tacos for dinner with Kinsley, Hazel, Eva, Olivia, Lydia, Avery, Piper, Layla, Nevaeh, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/10/15?\", \"Kinsley, Hazel, Eva, Olivia, Lydia, Avery, Piper, Layla, Nevaeh, Rylee\"], [\"what did I eat for dinner on 2015/10/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8811\", \"logical_representation\": [\"2015/10/15\", \"Kinsley\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Kinsley for 53 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2015/10/15?\", \"53 minutes\"], [\"who did I talk to on 2015/10/15?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2015/10/15?\", \"yes\"], [\"Did I talk to anyone on 2015/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8812\", \"logical_representation\": [\"2015/10/15\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/10/15?\", \"45 minutes\"], [\"what did I read on 2015/10/15?\", \"a book\"], [\"Did I read on 2015/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8813\", \"logical_representation\": [\"2015/10/15\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I watched a tv series for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/15?\", \"12 minutes\"], [\"what did I watch on tv on 2015/10/15?\", \"a tv series\"], [\"Did I watch tv on 2015/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/16\": {\"exercise\": {\"eid\": \"e8814\", \"logical_representation\": [\"2015/10/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/10/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8815\", \"logical_representation\": [\"2015/10/16\", \"dinner\", \"a burger\", \"Avery\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8816\", \"logical_representation\": [\"2015/10/16\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/10/16?\", \"10 minutes\"], [\"what did I read on 2015/10/16?\", \"a book\"], [\"Did I read on 2015/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8817\", \"logical_representation\": [\"2015/10/16\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/16?\", \"11 minutes\"], [\"what did I watch on tv on 2015/10/16?\", \"a movie\"], [\"Did I watch tv on 2015/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/18\": {\"exercise\": {\"eid\": \"e8821\", \"logical_representation\": [\"2015/10/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/10/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8822\", \"logical_representation\": [\"2015/10/18\", \"breakfast\", \"peanut-butter-jam\", \"Claire, Piper, Rylee, Eva, Hazel, Avery, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/10/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8823\", \"logical_representation\": [\"2015/10/18\", \"Kinsley, Nora\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Kinsley, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora late in the evening on 2015/10/18?\", \"47 minutes\"], [\"who did I talk to on 2015/10/18?\", \"Kinsley, Nora\"], [\"Did I talk to Kinsley, Nora on 2015/10/18?\", \"yes\"], [\"Did I talk to anyone on 2015/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8824\", \"logical_representation\": [\"2015/10/18\", \"Hazel, Piper, Rylee, Piper\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Rylee, Piper for 13 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Rylee, Piper late in the evening on 2015/10/18?\", \"13 minutes\"], [\"who did I talk to on 2015/10/18?\", \"Hazel, Piper, Rylee, Piper\"], [\"Did I talk to Hazel, Piper, Rylee, Piper on 2015/10/18?\", \"yes\"], [\"Did I talk to anyone on 2015/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8825\", \"logical_representation\": [\"2015/10/18\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/10/18?\", \"46 minutes\"], [\"what did I read on 2015/10/18?\", \"news\"], [\"Did I read on 2015/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8826\", \"logical_representation\": [\"2015/10/18\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/18?\", \"49 minutes\"], [\"what did I watch on tv on 2015/10/18?\", \"a tv series\"], [\"Did I watch tv on 2015/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/19\": {\"chat1\": {\"eid\": \"e8827\", \"logical_representation\": [\"2015/10/19\", \"Piper, Claire\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I talked to Piper, Claire for 49 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire during lunch hours on 2015/10/19?\", \"49 minutes\"], [\"who did I talk to on 2015/10/19?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2015/10/19?\", \"yes\"], [\"Did I talk to anyone on 2015/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/21\": {\"dinner\": {\"eid\": \"e8829\", \"logical_representation\": [\"2015/10/21\", \"dinner\", \"steak\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8830\", \"logical_representation\": [\"2015/10/21\", \"a documentary\", \"14 minutes\"], \"text_template_based\": \"I watched a documentary for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/21?\", \"14 minutes\"], [\"what did I watch on tv on 2015/10/21?\", \"a documentary\"], [\"Did I watch tv on 2015/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/22\": {\"dinner\": {\"eid\": \"e8831\", \"logical_representation\": [\"2015/10/22\", \"dinner\", \"pasta\", \"Olivia, Piper, Nevaeh, Layla, Lydia, Piper, Avery, Rylee, Kinsley, Nora\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8832\", \"logical_representation\": [\"2015/10/22\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I watched a tv series for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/22?\", \"13 minutes\"], [\"what did I watch on tv on 2015/10/22?\", \"a tv series\"], [\"Did I watch tv on 2015/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/23\": {\"exercise\": {\"eid\": \"e8833\", \"logical_representation\": [\"2015/10/23\", \"biking\"], \"text_template_based\": \"I did biking on 2015/10/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/23?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8834\", \"logical_representation\": [\"2015/10/23\", \"dinner\", \"chinese food\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8835\", \"logical_representation\": [\"2015/10/23\", \"a documentary\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/23?\", \"19 minutes\"], [\"what did I watch on tv on 2015/10/23?\", \"a documentary\"], [\"Did I watch tv on 2015/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/25\": {\"breakfast\": {\"eid\": \"e8840\", \"logical_representation\": [\"2015/10/25\", \"breakfast\", \"toast and cheese\", \"Lydia, Avery, Claire, Olivia, Piper, Nevaeh\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/10/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8841\", \"logical_representation\": [\"2015/10/25\", \"dinner\", \"chinese food\", \"Kayden, Carter\"], \"text_template_based\": \"I had chinese food for dinner with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/10/25?\", \"Kayden, Carter\"], [\"what did I eat for dinner on 2015/10/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8842\", \"logical_representation\": [\"2015/10/25\", \"Nora, Rylee, Nevaeh\", \"in the morning\", \"24 minutes\"], \"text_template_based\": \"I talked to Nora, Rylee, Nevaeh for 24 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Nevaeh in the morning on 2015/10/25?\", \"24 minutes\"], [\"who did I talk to on 2015/10/25?\", \"Nora, Rylee, Nevaeh\"], [\"Did I talk to Nora, Rylee, Nevaeh on 2015/10/25?\", \"yes\"], [\"Did I talk to anyone on 2015/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8843\", \"logical_representation\": [\"2015/10/25\", \"Avery, Claire, Layla\", \"in the late afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Avery, Claire, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire, Layla in the late afternoon on 2015/10/25?\", \"16 minutes\"], [\"who did I talk to on 2015/10/25?\", \"Avery, Claire, Layla\"], [\"Did I talk to Avery, Claire, Layla on 2015/10/25?\", \"yes\"], [\"Did I talk to anyone on 2015/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/26\": {\"dinner\": {\"eid\": \"e8844\", \"logical_representation\": [\"2015/10/26\", \"dinner\", \"chinese food\", \"Piper, Lydia, Eva, Hazel, Nevaeh, Claire, Avery, Kinsley, Olivia, Nora, Rylee, Layla\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8845\", \"logical_representation\": [\"2015/10/26\", \"Olivia, Rylee\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Olivia, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee during lunch hours on 2015/10/26?\", \"34 minutes\"], [\"who did I talk to on 2015/10/26?\", \"Olivia, Rylee\"], [\"Did I talk to Olivia, Rylee on 2015/10/26?\", \"yes\"], [\"Did I talk to anyone on 2015/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8846\", \"logical_representation\": [\"2015/10/26\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/10/26?\", \"7 minutes\"], [\"what did I read on 2015/10/26?\", \"a book\"], [\"Did I read on 2015/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8847\", \"logical_representation\": [\"2015/10/26\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/26?\", \"11 minutes\"], [\"what did I watch on tv on 2015/10/26?\", \"a tv series\"], [\"Did I watch tv on 2015/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/27\": {\"breakfast\": {\"eid\": \"e8848\", \"logical_representation\": [\"2015/10/27\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/10/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8849\", \"logical_representation\": [\"2015/10/27\", \"lunch\", \"sushi\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/10/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8850\", \"logical_representation\": [\"2015/10/27\", \"dinner\", \"chinese food\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8851\", \"logical_representation\": [\"2015/10/27\", \"Avery, Piper, Eva\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Eva for 36 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Eva during lunch hours on 2015/10/27?\", \"36 minutes\"], [\"who did I talk to on 2015/10/27?\", \"Avery, Piper, Eva\"], [\"Did I talk to Avery, Piper, Eva on 2015/10/27?\", \"yes\"], [\"Did I talk to anyone on 2015/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8852\", \"logical_representation\": [\"2015/10/27\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I watched a movie for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/27?\", \"25 minutes\"], [\"what did I watch on tv on 2015/10/27?\", \"a movie\"], [\"Did I watch tv on 2015/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/28\": {\"breakfast\": {\"eid\": \"e8853\", \"logical_representation\": [\"2015/10/28\", \"breakfast\", \"oatmeal\", \"Layla, Lydia, Rylee, Hazel\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/10/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8854\", \"logical_representation\": [\"2015/10/28\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/10/28?\", \"29 minutes\"], [\"what did I read on 2015/10/28?\", \"news\"], [\"Did I read on 2015/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/29\": {\"chat0\": {\"eid\": \"e8855\", \"logical_representation\": [\"2015/10/29\", \"Lydia\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2015/10/29?\", \"29 minutes\"], [\"who did I talk to on 2015/10/29?\", \"Lydia\"], [\"Did I talk to Lydia on 2015/10/29?\", \"yes\"], [\"Did I talk to anyone on 2015/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8856\", \"logical_representation\": [\"2015/10/29\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/10/29?\", \"46 minutes\"], [\"what did I read on 2015/10/29?\", \"news\"], [\"Did I read on 2015/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/30\": {\"dinner\": {\"eid\": \"e8857\", \"logical_representation\": [\"2015/10/30\", \"dinner\", \"steak\", \"Kayden, Emily\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8858\", \"logical_representation\": [\"2015/10/30\", \"Nora\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2015/10/30?\", \"29 minutes\"], [\"who did I talk to on 2015/10/30?\", \"Nora\"], [\"Did I talk to Nora on 2015/10/30?\", \"yes\"], [\"Did I talk to anyone on 2015/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8859\", \"logical_representation\": [\"2015/10/30\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I watched a tv series for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/30?\", \"55 minutes\"], [\"what did I watch on tv on 2015/10/30?\", \"a tv series\"], [\"Did I watch tv on 2015/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/31\": {\"exercise\": {\"eid\": \"e8860\", \"logical_representation\": [\"2015/10/31\", \"biking\"], \"text_template_based\": \"I did biking on 2015/10/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/31?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8861\", \"logical_representation\": [\"2015/10/31\", \"lunch\", \"fish and chips\", \"Avery, Eva, Nevaeh, Kinsley\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/10/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8862\", \"logical_representation\": [\"2015/10/31\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/10/31?\", \"53 minutes\"], [\"what did I read on 2015/10/31?\", \"a book\"], [\"Did I read on 2015/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8863\", \"logical_representation\": [\"2015/10/31\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I watched a movie for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/31?\", \"10 minutes\"], [\"what did I watch on tv on 2015/10/31?\", \"a movie\"], [\"Did I watch tv on 2015/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/01\": {\"breakfast\": {\"eid\": \"e8864\", \"logical_representation\": [\"2015/11/01\", \"breakfast\", \"oatmeal\", \"Kayden, Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/11/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8865\", \"logical_representation\": [\"2015/11/01\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/11/01?\", \"7 minutes\"], [\"what did I read on 2015/11/01?\", \"a book\"], [\"Did I read on 2015/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/02\": {\"lunch\": {\"eid\": \"e8866\", \"logical_representation\": [\"2015/11/02\", \"lunch\", \"chinese food\", \"Eva, Olivia, Piper, Claire, Layla, Nevaeh\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/11/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8867\", \"logical_representation\": [\"2015/11/02\", \"Lydia, Olivia, Rylee\", \"late in the evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia, Rylee for 19 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Rylee late in the evening on 2015/11/02?\", \"19 minutes\"], [\"who did I talk to on 2015/11/02?\", \"Lydia, Olivia, Rylee\"], [\"Did I talk to Lydia, Olivia, Rylee on 2015/11/02?\", \"yes\"], [\"Did I talk to anyone on 2015/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/05\": {\"exercise\": {\"eid\": \"e8877\", \"logical_representation\": [\"2015/11/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/11/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8878\", \"logical_representation\": [\"2015/11/05\", \"breakfast\", \"oatmeal\", \"Kinsley, Claire, Avery, Olivia, Piper, Hazel\"], \"text_template_based\": \"I had oatmeal for breakfast with Kinsley, Claire, Avery, Olivia, Piper, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/11/05?\", \"Kinsley, Claire, Avery, Olivia, Piper, Hazel\"], [\"what did I eat for breakfast on 2015/11/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8879\", \"logical_representation\": [\"2015/11/05\", \"dinner\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/11/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8880\", \"logical_representation\": [\"2015/11/05\", \"Claire, Rylee\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I talked to Claire, Rylee for 25 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee during lunch hours on 2015/11/05?\", \"25 minutes\"], [\"who did I talk to on 2015/11/05?\", \"Claire, Rylee\"], [\"Did I talk to Claire, Rylee on 2015/11/05?\", \"yes\"], [\"Did I talk to anyone on 2015/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8881\", \"logical_representation\": [\"2015/11/05\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/05?\", \"43 minutes\"], [\"what did I watch on tv on 2015/11/05?\", \"news\"], [\"Did I watch tv on 2015/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/06\": {\"breakfast\": {\"eid\": \"e8882\", \"logical_representation\": [\"2015/11/06\", \"breakfast\", \"toast and cheese\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Avery, Willow. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/11/06?\", \"Jackson, Avery, Willow\"], [\"what did I eat for breakfast on 2015/11/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8883\", \"logical_representation\": [\"2015/11/06\", \"dinner\", \"sushi\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/11/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8884\", \"logical_representation\": [\"2015/11/06\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/11/06?\", \"53 minutes\"], [\"what did I read on 2015/11/06?\", \"news\"], [\"Did I read on 2015/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/07\": {\"exercise\": {\"eid\": \"e8885\", \"logical_representation\": [\"2015/11/07\", \"biking\"], \"text_template_based\": \"I did biking on 2015/11/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/07?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8886\", \"logical_representation\": [\"2015/11/07\", \"breakfast\", \"cereals\", \"Lydia, Hazel, Avery, Layla, Nevaeh, Nora, Kinsley, Eva, Piper, Claire, Piper, Rylee\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/11/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8887\", \"logical_representation\": [\"2015/11/07\", \"lunch\", \"chinese food\", \"Rylee, Layla, Nevaeh, Kinsley, Eva, Claire, Hazel, Lydia, Piper, Olivia, Avery, Piper, Nora\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/11/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8888\", \"logical_representation\": [\"2015/11/07\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/11/07?\", \"16 minutes\"], [\"what did I read on 2015/11/07?\", \"social media\"], [\"Did I read on 2015/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8889\", \"logical_representation\": [\"2015/11/07\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/07?\", \"26 minutes\"], [\"what did I watch on tv on 2015/11/07?\", \"a documentary\"], [\"Did I watch tv on 2015/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/09\": {\"breakfast\": {\"eid\": \"e8895\", \"logical_representation\": [\"2015/11/09\", \"breakfast\", \"pancakes\", \"Avery, Olivia, Hazel, Layla, Claire, Rylee, Lydia, Nora, Piper\"], \"text_template_based\": \"I had pancakes for breakfast with Avery, Olivia, Hazel, Layla, Claire, Rylee, Lydia, Nora, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/11/09?\", \"Avery, Olivia, Hazel, Layla, Claire, Rylee, Lydia, Nora, Piper\"], [\"what did I eat for breakfast on 2015/11/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8896\", \"logical_representation\": [\"2015/11/09\", \"Eva, Lydia, Piper\", \"in the late afternoon\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Eva, Lydia, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Piper in the late afternoon on 2015/11/09?\", \"31 minutes\"], [\"who did I talk to on 2015/11/09?\", \"Eva, Lydia, Piper\"], [\"Did I talk to Eva, Lydia, Piper on 2015/11/09?\", \"yes\"], [\"Did I talk to anyone on 2015/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8897\", \"logical_representation\": [\"2015/11/09\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/09?\", \"12 minutes\"], [\"what did I watch on tv on 2015/11/09?\", \"a movie\"], [\"Did I watch tv on 2015/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/10\": {\"lunch\": {\"eid\": \"e8898\", \"logical_representation\": [\"2015/11/10\", \"lunch\", \"pasta\", \"Piper, Layla, Nevaeh, Nora, Rylee, Avery, Hazel, Eva, Kinsley, Olivia, Claire, Lydia\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/11/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8899\", \"logical_representation\": [\"2015/11/10\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/10?\", \"48 minutes\"], [\"what did I watch on tv on 2015/11/10?\", \"news\"], [\"Did I watch tv on 2015/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/11\": {\"breakfast\": {\"eid\": \"e8900\", \"logical_representation\": [\"2015/11/11\", \"breakfast\", \"toast and cheese\", \"Avery, Willow\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/11/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8901\", \"logical_representation\": [\"2015/11/11\", \"lunch\", \"pasta\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had pasta for lunch with Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/11/11?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2015/11/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8902\", \"logical_representation\": [\"2015/11/11\", \"dinner\", \"sushi\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/11/11\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2015/11/12\": {\"breakfast\": {\"eid\": \"e8903\", \"logical_representation\": [\"2015/11/12\", \"breakfast\", \"oatmeal\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/11/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8904\", \"logical_representation\": [\"2015/11/12\", \"Nora\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2015/11/12?\", \"15 minutes\"], [\"who did I talk to on 2015/11/12?\", \"Nora\"], [\"Did I talk to Nora on 2015/11/12?\", \"yes\"], [\"Did I talk to anyone on 2015/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8905\", \"logical_representation\": [\"2015/11/12\", \"Rylee\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2015/11/12?\", \"24 minutes\"], [\"who did I talk to on 2015/11/12?\", \"Rylee\"], [\"Did I talk to Rylee on 2015/11/12?\", \"yes\"], [\"Did I talk to anyone on 2015/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8906\", \"logical_representation\": [\"2015/11/12\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/11/12?\", \"11 minutes\"], [\"what did I read on 2015/11/12?\", \"social media\"], [\"Did I read on 2015/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/14\": {\"exercise\": {\"eid\": \"e8911\", \"logical_representation\": [\"2015/11/14\", \"running\"], \"text_template_based\": \"I did running on 2015/11/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8912\", \"logical_representation\": [\"2015/11/14\", \"lunch\", \"tacos\", \"Jackson\"], \"text_template_based\": \"I had tacos for lunch with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/11/14?\", \"Jackson\"], [\"what did I eat for lunch on 2015/11/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8913\", \"logical_representation\": [\"2015/11/14\", \"dinner\", \"pasta\", \"Rylee, Hazel, Piper, Eva, Nora, Layla, Kinsley, Piper\"], \"text_template_based\": \"I had dinner with Rylee, Hazel, Piper, Eva, Nora, Layla, Kinsley, Piper. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/11/14?\", \"Rylee, Hazel, Piper, Eva, Nora, Layla, Kinsley, Piper\"], [\"what did I eat for dinner on 2015/11/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8914\", \"logical_representation\": [\"2015/11/14\", \"Lydia, Nora, Layla\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I talked to Lydia, Nora, Layla for 9 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Layla in the late afternoon on 2015/11/14?\", \"9 minutes\"], [\"who did I talk to on 2015/11/14?\", \"Lydia, Nora, Layla\"], [\"Did I talk to Lydia, Nora, Layla on 2015/11/14?\", \"yes\"], [\"Did I talk to anyone on 2015/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8915\", \"logical_representation\": [\"2015/11/14\", \"Avery, Olivia, Piper\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia, Piper for 14 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Piper in the morning on 2015/11/14?\", \"14 minutes\"], [\"who did I talk to on 2015/11/14?\", \"Avery, Olivia, Piper\"], [\"Did I talk to Avery, Olivia, Piper on 2015/11/14?\", \"yes\"], [\"Did I talk to anyone on 2015/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8916\", \"logical_representation\": [\"2015/11/14\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/11/14?\", \"26 minutes\"], [\"what did I read on 2015/11/14?\", \"social media\"], [\"Did I read on 2015/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/15\": {\"breakfast\": {\"eid\": \"e8917\", \"logical_representation\": [\"2015/11/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/11/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8918\", \"logical_representation\": [\"2015/11/15\", \"dinner\", \"sandwich\", \"Willow, Jackson\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/11/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8919\", \"logical_representation\": [\"2015/11/15\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/11/15?\", \"34 minutes\"], [\"what did I read on 2015/11/15?\", \"social media\"], [\"Did I read on 2015/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/17\": {\"exercise\": {\"eid\": \"e8922\", \"logical_representation\": [\"2015/11/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/11/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8923\", \"logical_representation\": [\"2015/11/17\", \"dinner\", \"sandwich\", \"Eva, Lydia, Rylee, Avery, Layla, Piper, Claire\"], \"text_template_based\": \"I had sandwich for dinner with Eva, Lydia, Rylee, Avery, Layla, Piper, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/11/17?\", \"Eva, Lydia, Rylee, Avery, Layla, Piper, Claire\"], [\"what did I eat for dinner on 2015/11/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8924\", \"logical_representation\": [\"2015/11/17\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/11/17?\", \"37 minutes\"], [\"what did I read on 2015/11/17?\", \"news\"], [\"Did I read on 2015/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8925\", \"logical_representation\": [\"2015/11/17\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I watched a tv series for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/17?\", \"55 minutes\"], [\"what did I watch on tv on 2015/11/17?\", \"a tv series\"], [\"Did I watch tv on 2015/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/19\": {\"exercise\": {\"eid\": \"e8930\", \"logical_representation\": [\"2015/11/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/11/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8931\", \"logical_representation\": [\"2015/11/19\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/11/19?\", \"Andrew\"], [\"what did I eat for breakfast on 2015/11/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2015/11/20\": {\"exercise\": {\"eid\": \"e8932\", \"logical_representation\": [\"2015/11/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/11/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8933\", \"logical_representation\": [\"2015/11/20\", \"breakfast\", \"oatmeal\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden, Emily, Carter. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/11/20?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for breakfast on 2015/11/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8934\", \"logical_representation\": [\"2015/11/20\", \"lunch\", \"a burger\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/11/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8935\", \"logical_representation\": [\"2015/11/20\", \"Layla, Piper, Kinsley, Hazel\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Kinsley, Hazel for 13 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Kinsley, Hazel in the late afternoon on 2015/11/20?\", \"13 minutes\"], [\"who did I talk to on 2015/11/20?\", \"Layla, Piper, Kinsley, Hazel\"], [\"Did I talk to Layla, Piper, Kinsley, Hazel on 2015/11/20?\", \"yes\"], [\"Did I talk to anyone on 2015/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8936\", \"logical_representation\": [\"2015/11/20\", \"Eva, Claire, Hazel, Avery\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Eva, Claire, Hazel, Avery for 48 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire, Hazel, Avery in the late afternoon on 2015/11/20?\", \"48 minutes\"], [\"who did I talk to on 2015/11/20?\", \"Eva, Claire, Hazel, Avery\"], [\"Did I talk to Eva, Claire, Hazel, Avery on 2015/11/20?\", \"yes\"], [\"Did I talk to anyone on 2015/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8937\", \"logical_representation\": [\"2015/11/20\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/11/20?\", \"54 minutes\"], [\"what did I read on 2015/11/20?\", \"social media\"], [\"Did I read on 2015/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8938\", \"logical_representation\": [\"2015/11/20\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I watched a tv series for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/20?\", \"11 minutes\"], [\"what did I watch on tv on 2015/11/20?\", \"a tv series\"], [\"Did I watch tv on 2015/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/22\": {\"exercise\": {\"eid\": \"e8942\", \"logical_representation\": [\"2015/11/22\", \"running\"], \"text_template_based\": \"I did running on 2015/11/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8943\", \"logical_representation\": [\"2015/11/22\", \"Piper\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2015/11/22?\", \"19 minutes\"], [\"who did I talk to on 2015/11/22?\", \"Piper\"], [\"Did I talk to Piper on 2015/11/22?\", \"yes\"], [\"Did I talk to anyone on 2015/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8944\", \"logical_representation\": [\"2015/11/22\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/11/22?\", \"52 minutes\"], [\"what did I read on 2015/11/22?\", \"news\"], [\"Did I read on 2015/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/23\": {\"exercise\": {\"eid\": \"e8945\", \"logical_representation\": [\"2015/11/23\", \"biking\"], \"text_template_based\": \"I did biking on 2015/11/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/23?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8946\", \"logical_representation\": [\"2015/11/23\", \"Hazel, Kinsley, Eva, Avery\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Hazel, Kinsley, Eva, Avery for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley, Eva, Avery in the early afternoon on 2015/11/23?\", \"42 minutes\"], [\"who did I talk to on 2015/11/23?\", \"Hazel, Kinsley, Eva, Avery\"], [\"Did I talk to Hazel, Kinsley, Eva, Avery on 2015/11/23?\", \"yes\"], [\"Did I talk to anyone on 2015/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8947\", \"logical_representation\": [\"2015/11/23\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/23?\", \"17 minutes\"], [\"what did I watch on tv on 2015/11/23?\", \"news\"], [\"Did I watch tv on 2015/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/24\": {\"exercise\": {\"eid\": \"e8948\", \"logical_representation\": [\"2015/11/24\", \"biking\"], \"text_template_based\": \"I did biking on 2015/11/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8949\", \"logical_representation\": [\"2015/11/24\", \"lunch\", \"fish and chips\", \"Jackson\"], \"text_template_based\": \"I had fish and chips for lunch with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/11/24?\", \"Jackson\"], [\"what did I eat for lunch on 2015/11/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8950\", \"logical_representation\": [\"2015/11/24\", \"dinner\", \"pasta\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/11/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8951\", \"logical_representation\": [\"2015/11/24\", \"Eva, Piper, Hazel\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Eva, Piper, Hazel for 12 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Hazel late in the evening on 2015/11/24?\", \"12 minutes\"], [\"who did I talk to on 2015/11/24?\", \"Eva, Piper, Hazel\"], [\"Did I talk to Eva, Piper, Hazel on 2015/11/24?\", \"yes\"], [\"Did I talk to anyone on 2015/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8952\", \"logical_representation\": [\"2015/11/24\", \"Eva, Kinsley\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Eva, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley in the late afternoon on 2015/11/24?\", \"15 minutes\"], [\"who did I talk to on 2015/11/24?\", \"Eva, Kinsley\"], [\"Did I talk to Eva, Kinsley on 2015/11/24?\", \"yes\"], [\"Did I talk to anyone on 2015/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8953\", \"logical_representation\": [\"2015/11/24\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/11/24?\", \"47 minutes\"], [\"what did I read on 2015/11/24?\", \"a book\"], [\"Did I read on 2015/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8954\", \"logical_representation\": [\"2015/11/24\", \"news\", \"53 minutes\"], \"text_template_based\": \"I watched news for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/24?\", \"53 minutes\"], [\"what did I watch on tv on 2015/11/24?\", \"news\"], [\"Did I watch tv on 2015/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/25\": {\"dinner\": {\"eid\": \"e8955\", \"logical_representation\": [\"2015/11/25\", \"dinner\", \"indian food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had indian food for dinner with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/11/25?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2015/11/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8956\", \"logical_representation\": [\"2015/11/25\", \"news\", \"23 minutes\"], \"text_template_based\": \"I watched news for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/25?\", \"23 minutes\"], [\"what did I watch on tv on 2015/11/25?\", \"news\"], [\"Did I watch tv on 2015/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/26\": {\"read\": {\"eid\": \"e8957\", \"logical_representation\": [\"2015/11/26\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/11/26?\", \"7 minutes\"], [\"what did I read on 2015/11/26?\", \"news\"], [\"Did I read on 2015/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/29\": {\"exercise\": {\"eid\": \"e8966\", \"logical_representation\": [\"2015/11/29\", \"biking\"], \"text_template_based\": \"I did biking on 2015/11/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/29?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8967\", \"logical_representation\": [\"2015/11/29\", \"lunch\", \"tacos\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/11/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8968\", \"logical_representation\": [\"2015/11/29\", \"dinner\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/11/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8969\", \"logical_representation\": [\"2015/11/29\", \"Kinsley, Piper, Lydia\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Kinsley, Piper, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Lydia in the morning on 2015/11/29?\", \"38 minutes\"], [\"who did I talk to on 2015/11/29?\", \"Kinsley, Piper, Lydia\"], [\"Did I talk to Kinsley, Piper, Lydia on 2015/11/29?\", \"yes\"], [\"Did I talk to anyone on 2015/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/30\": {\"exercise\": {\"eid\": \"e8970\", \"logical_representation\": [\"2015/11/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/11/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8971\", \"logical_representation\": [\"2015/11/30\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/11/30\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8972\", \"logical_representation\": [\"2015/11/30\", \"news\", \"11 minutes\"], \"text_template_based\": \"I watched news for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/30?\", \"11 minutes\"], [\"what did I watch on tv on 2015/11/30?\", \"news\"], [\"Did I watch tv on 2015/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/03\": {\"exercise\": {\"eid\": \"e8979\", \"logical_representation\": [\"2015/12/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/12/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8980\", \"logical_representation\": [\"2015/12/03\", \"breakfast\", \"pancakes\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Andrew, Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/03?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for breakfast on 2015/12/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8981\", \"logical_representation\": [\"2015/12/03\", \"dinner\", \"fish and chips\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8982\", \"logical_representation\": [\"2015/12/03\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/12/03?\", \"29 minutes\"], [\"what did I read on 2015/12/03?\", \"social media\"], [\"Did I read on 2015/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8983\", \"logical_representation\": [\"2015/12/03\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/03?\", \"28 minutes\"], [\"what did I watch on tv on 2015/12/03?\", \"news\"], [\"Did I watch tv on 2015/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/05\": {\"exercise\": {\"eid\": \"e8988\", \"logical_representation\": [\"2015/12/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/12/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8989\", \"logical_representation\": [\"2015/12/05\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Eva, Kinsley, Nora, Piper, Avery, Nevaeh, Hazel, Piper, Claire, Layla, Olivia, Rylee\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8990\", \"logical_representation\": [\"2015/12/05\", \"lunch\", \"steak\", \"Andrew\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8991\", \"logical_representation\": [\"2015/12/05\", \"Kinsley, Nora, Claire\", \"in the morning\", \"50 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora, Claire for 50 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Claire in the morning on 2015/12/05?\", \"50 minutes\"], [\"who did I talk to on 2015/12/05?\", \"Kinsley, Nora, Claire\"], [\"Did I talk to Kinsley, Nora, Claire on 2015/12/05?\", \"yes\"], [\"Did I talk to anyone on 2015/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e8992\", \"logical_representation\": [\"2015/12/05\", \"Nevaeh, Kinsley\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Kinsley for 11 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley during lunch hours on 2015/12/05?\", \"11 minutes\"], [\"who did I talk to on 2015/12/05?\", \"Nevaeh, Kinsley\"], [\"Did I talk to Nevaeh, Kinsley on 2015/12/05?\", \"yes\"], [\"Did I talk to anyone on 2015/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/07\": {\"exercise\": {\"eid\": \"e8996\", \"logical_representation\": [\"2015/12/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/12/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8997\", \"logical_representation\": [\"2015/12/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8998\", \"logical_representation\": [\"2015/12/07\", \"lunch\", \"a burger\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8999\", \"logical_representation\": [\"2015/12/07\", \"Piper, Kinsley\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Piper, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley in the early evening on 2015/12/07?\", \"29 minutes\"], [\"who did I talk to on 2015/12/07?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2015/12/07?\", \"yes\"], [\"Did I talk to anyone on 2015/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9000\", \"logical_representation\": [\"2015/12/07\", \"Lydia\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2015/12/07?\", \"9 minutes\"], [\"who did I talk to on 2015/12/07?\", \"Lydia\"], [\"Did I talk to Lydia on 2015/12/07?\", \"yes\"], [\"Did I talk to anyone on 2015/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9001\", \"logical_representation\": [\"2015/12/07\", \"a movie\", \"27 minutes\"], \"text_template_based\": \"I watched a movie for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/07?\", \"27 minutes\"], [\"what did I watch on tv on 2015/12/07?\", \"a movie\"], [\"Did I watch tv on 2015/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/09\": {\"breakfast\": {\"eid\": \"e9007\", \"logical_representation\": [\"2015/12/09\", \"breakfast\", \"pancakes\", \"Lydia, Olivia, Hazel, Nevaeh, Piper, Avery, Piper\"], \"text_template_based\": \"I had pancakes for breakfast with Lydia, Olivia, Hazel, Nevaeh, Piper, Avery, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/09?\", \"Lydia, Olivia, Hazel, Nevaeh, Piper, Avery, Piper\"], [\"what did I eat for breakfast on 2015/12/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9008\", \"logical_representation\": [\"2015/12/09\", \"dinner\", \"pasta\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/09\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9009\", \"logical_representation\": [\"2015/12/09\", \"Avery, Olivia, Layla, Kinsley\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Avery, Olivia, Layla, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Layla, Kinsley in the morning on 2015/12/09?\", \"7 minutes\"], [\"who did I talk to on 2015/12/09?\", \"Avery, Olivia, Layla, Kinsley\"], [\"Did I talk to Avery, Olivia, Layla, Kinsley on 2015/12/09?\", \"yes\"], [\"Did I talk to anyone on 2015/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9010\", \"logical_representation\": [\"2015/12/09\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/12/09?\", \"55 minutes\"], [\"what did I read on 2015/12/09?\", \"news\"], [\"Did I read on 2015/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/11\": {\"exercise\": {\"eid\": \"e9014\", \"logical_representation\": [\"2015/12/11\", \"running\"], \"text_template_based\": \"I did running on 2015/12/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9015\", \"logical_representation\": [\"2015/12/11\", \"lunch\", \"tacos\", \"Kinsley, Hazel, Olivia, Rylee, Eva\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/11\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2015/12/12\": {\"exercise\": {\"eid\": \"e9016\", \"logical_representation\": [\"2015/12/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/12/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2015/12/14\": {\"lunch\": {\"eid\": \"e9020\", \"logical_representation\": [\"2015/12/14\", \"lunch\", \"sandwich\", \"Hazel, Olivia, Claire, Nevaeh, Nora, Rylee, Kinsley, Piper, Avery, Layla, Eva\"], \"text_template_based\": \"I had lunch with Hazel, Olivia, Claire, Nevaeh, Nora, Rylee, Kinsley, Piper, Avery, Layla, Eva. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/12/14?\", \"Hazel, Olivia, Claire, Nevaeh, Nora, Rylee, Kinsley, Piper, Avery, Layla, Eva\"], [\"what did I eat for lunch on 2015/12/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9021\", \"logical_representation\": [\"2015/12/14\", \"Eva, Olivia, Rylee\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Eva, Olivia, Rylee for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Rylee in the early afternoon on 2015/12/14?\", \"42 minutes\"], [\"who did I talk to on 2015/12/14?\", \"Eva, Olivia, Rylee\"], [\"Did I talk to Eva, Olivia, Rylee on 2015/12/14?\", \"yes\"], [\"Did I talk to anyone on 2015/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9022\", \"logical_representation\": [\"2015/12/14\", \"Olivia, Piper\", \"in the morning\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Olivia, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper in the morning on 2015/12/14?\", \"16 minutes\"], [\"who did I talk to on 2015/12/14?\", \"Olivia, Piper\"], [\"Did I talk to Olivia, Piper on 2015/12/14?\", \"yes\"], [\"Did I talk to anyone on 2015/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9023\", \"logical_representation\": [\"2015/12/14\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/14?\", \"31 minutes\"], [\"what did I watch on tv on 2015/12/14?\", \"news\"], [\"Did I watch tv on 2015/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/15\": {\"exercise\": {\"eid\": \"e9024\", \"logical_representation\": [\"2015/12/15\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/12/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/15?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9025\", \"logical_representation\": [\"2015/12/15\", \"breakfast\", \"pancakes\", \"Eva, Rylee, Kinsley, Olivia, Hazel, Layla, Claire, Lydia, Nora, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9026\", \"logical_representation\": [\"2015/12/15\", \"dinner\", \"pasta\", \"Willow, Benjamin\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9027\", \"logical_representation\": [\"2015/12/15\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/12/15?\", \"40 minutes\"], [\"what did I read on 2015/12/15?\", \"news\"], [\"Did I read on 2015/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9028\", \"logical_representation\": [\"2015/12/15\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/15?\", \"42 minutes\"], [\"what did I watch on tv on 2015/12/15?\", \"a documentary\"], [\"Did I watch tv on 2015/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/16\": {\"breakfast\": {\"eid\": \"e9029\", \"logical_representation\": [\"2015/12/16\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I had pancakes for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/16?\", \"Carter\"], [\"what did I eat for breakfast on 2015/12/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9030\", \"logical_representation\": [\"2015/12/16\", \"Nora, Kinsley\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Nora, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley in the early evening on 2015/12/16?\", \"37 minutes\"], [\"who did I talk to on 2015/12/16?\", \"Nora, Kinsley\"], [\"Did I talk to Nora, Kinsley on 2015/12/16?\", \"yes\"], [\"Did I talk to anyone on 2015/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/17\": {\"exercise\": {\"eid\": \"e9031\", \"logical_representation\": [\"2015/12/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/12/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9032\", \"logical_representation\": [\"2015/12/17\", \"dinner\", \"pasta\", \"Jackson\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/17\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/12/18\": {\"breakfast\": {\"eid\": \"e9033\", \"logical_representation\": [\"2015/12/18\", \"breakfast\", \"toast and cheese\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had toast and cheese for breakfast with Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/18?\", \"Jackson, Benjamin\"], [\"what did I eat for breakfast on 2015/12/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9034\", \"logical_representation\": [\"2015/12/18\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/18\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2015/12/20\": {\"breakfast\": {\"eid\": \"e9039\", \"logical_representation\": [\"2015/12/20\", \"breakfast\", \"pancakes\", \"Willow\"], \"text_template_based\": \"I had pancakes for breakfast with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/20?\", \"Willow\"], [\"what did I eat for breakfast on 2015/12/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9040\", \"logical_representation\": [\"2015/12/20\", \"lunch\", \"a burger\", \"Kayden, Emily\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9041\", \"logical_representation\": [\"2015/12/20\", \"dinner\", \"pasta\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9042\", \"logical_representation\": [\"2015/12/20\", \"Layla, Hazel, Piper, Piper\", \"in the late afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Layla, Hazel, Piper, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Piper, Piper in the late afternoon on 2015/12/20?\", \"16 minutes\"], [\"who did I talk to on 2015/12/20?\", \"Layla, Hazel, Piper, Piper\"], [\"Did I talk to Layla, Hazel, Piper, Piper on 2015/12/20?\", \"yes\"], [\"Did I talk to anyone on 2015/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/22\": {\"lunch\": {\"eid\": \"e9044\", \"logical_representation\": [\"2015/12/22\", \"lunch\", \"a burger\", \"Emily, Andrew\"], \"text_template_based\": \"I had a burger for lunch with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/12/22?\", \"Emily, Andrew\"], [\"what did I eat for lunch on 2015/12/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9045\", \"logical_representation\": [\"2015/12/22\", \"dinner\", \"fish and chips\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/12/22?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for dinner on 2015/12/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9046\", \"logical_representation\": [\"2015/12/22\", \"Piper\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Piper for 26 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2015/12/22?\", \"26 minutes\"], [\"who did I talk to on 2015/12/22?\", \"Piper\"], [\"Did I talk to Piper on 2015/12/22?\", \"yes\"], [\"Did I talk to anyone on 2015/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9047\", \"logical_representation\": [\"2015/12/22\", \"Hazel, Nora, Piper, Avery\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Hazel, Nora, Piper, Avery for 23 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Piper, Avery in the early evening on 2015/12/22?\", \"23 minutes\"], [\"who did I talk to on 2015/12/22?\", \"Hazel, Nora, Piper, Avery\"], [\"Did I talk to Hazel, Nora, Piper, Avery on 2015/12/22?\", \"yes\"], [\"Did I talk to anyone on 2015/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9048\", \"logical_representation\": [\"2015/12/22\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/12/22?\", \"42 minutes\"], [\"what did I read on 2015/12/22?\", \"a book\"], [\"Did I read on 2015/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/23\": {\"exercise\": {\"eid\": \"e9049\", \"logical_representation\": [\"2015/12/23\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/12/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/23?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9050\", \"logical_representation\": [\"2015/12/23\", \"breakfast\", \"cereals\", \"Avery, Willow\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9051\", \"logical_representation\": [\"2015/12/23\", \"lunch\", \"fish and chips\", \"Carter, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/12/23?\", \"Carter, Andrew\"], [\"what did I eat for lunch on 2015/12/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9052\", \"logical_representation\": [\"2015/12/23\", \"Nora, Claire, Piper\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Nora, Claire, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Piper in the morning on 2015/12/23?\", \"52 minutes\"], [\"who did I talk to on 2015/12/23?\", \"Nora, Claire, Piper\"], [\"Did I talk to Nora, Claire, Piper on 2015/12/23?\", \"yes\"], [\"Did I talk to anyone on 2015/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/24\": {\"exercise\": {\"eid\": \"e9053\", \"logical_representation\": [\"2015/12/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/12/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9054\", \"logical_representation\": [\"2015/12/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Layla, Nora, Olivia, Avery, Lydia, Eva, Hazel, Piper, Claire, Nevaeh, Rylee\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9055\", \"logical_representation\": [\"2015/12/24\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/12/24?\", \"7 minutes\"], [\"what did I read on 2015/12/24?\", \"a book\"], [\"Did I read on 2015/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/25\": {\"exercise\": {\"eid\": \"e9056\", \"logical_representation\": [\"2015/12/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/12/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9057\", \"logical_representation\": [\"2015/12/25\", \"breakfast\", \"toast and cheese\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9058\", \"logical_representation\": [\"2015/12/25\", \"lunch\", \"steak\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I had lunch with Jackson, Willow, Avery, Benjamin. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/12/25?\", \"Jackson, Willow, Avery, Benjamin\"], [\"what did I eat for lunch on 2015/12/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9059\", \"logical_representation\": [\"2015/12/25\", \"dinner\", \"fish and chips\", \"Olivia, Piper, Avery, Nora\"], \"text_template_based\": \"I had dinner with Olivia, Piper, Avery, Nora. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/12/25?\", \"Olivia, Piper, Avery, Nora\"], [\"what did I eat for dinner on 2015/12/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9060\", \"logical_representation\": [\"2015/12/25\", \"Layla, Rylee, Claire\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Layla, Rylee, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Claire in the early evening on 2015/12/25?\", \"51 minutes\"], [\"who did I talk to on 2015/12/25?\", \"Layla, Rylee, Claire\"], [\"Did I talk to Layla, Rylee, Claire on 2015/12/25?\", \"yes\"], [\"Did I talk to anyone on 2015/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9061\", \"logical_representation\": [\"2015/12/25\", \"Kinsley, Nevaeh, Lydia, Rylee\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh, Lydia, Rylee for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Lydia, Rylee in the early afternoon on 2015/12/25?\", \"7 minutes\"], [\"who did I talk to on 2015/12/25?\", \"Kinsley, Nevaeh, Lydia, Rylee\"], [\"Did I talk to Kinsley, Nevaeh, Lydia, Rylee on 2015/12/25?\", \"yes\"], [\"Did I talk to anyone on 2015/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/29\": {\"exercise\": {\"eid\": \"e9076\", \"logical_representation\": [\"2015/12/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/12/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9077\", \"logical_representation\": [\"2015/12/29\", \"lunch\", \"indian food\", \"Avery, Lydia, Kinsley, Olivia, Eva, Rylee, Piper, Hazel, Nora\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/29\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2015/12/30\": {\"breakfast\": {\"eid\": \"e9078\", \"logical_representation\": [\"2015/12/30\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9079\", \"logical_representation\": [\"2015/12/30\", \"lunch\", \"pasta\", \"Piper\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9080\", \"logical_representation\": [\"2015/12/30\", \"dinner\", \"steak\", \"Piper, Layla, Nora, Nevaeh, Rylee, Claire, Hazel, Lydia, Olivia, Avery, Piper\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9081\", \"logical_representation\": [\"2015/12/30\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/30?\", \"37 minutes\"], [\"what did I watch on tv on 2015/12/30?\", \"a movie\"], [\"Did I watch tv on 2015/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/31\": {\"exercise\": {\"eid\": \"e9082\", \"logical_representation\": [\"2015/12/31\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/12/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/31?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9083\", \"logical_representation\": [\"2015/12/31\", \"breakfast\", \"pancakes\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/31?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for breakfast on 2015/12/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9084\", \"logical_representation\": [\"2015/12/31\", \"lunch\", \"sandwich\", \"Nevaeh, Claire, Piper, Avery, Nora, Lydia, Hazel, Kinsley, Piper\"], \"text_template_based\": \"I had sandwich for lunch with Nevaeh, Claire, Piper, Avery, Nora, Lydia, Hazel, Kinsley, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/12/31?\", \"Nevaeh, Claire, Piper, Avery, Nora, Lydia, Hazel, Kinsley, Piper\"], [\"what did I eat for lunch on 2015/12/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9085\", \"logical_representation\": [\"2015/12/31\", \"Rylee\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2015/12/31?\", \"12 minutes\"], [\"who did I talk to on 2015/12/31?\", \"Rylee\"], [\"Did I talk to Rylee on 2015/12/31?\", \"yes\"], [\"Did I talk to anyone on 2015/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9086\", \"logical_representation\": [\"2015/12/31\", \"Piper, Layla, Kinsley, Olivia\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Piper, Layla, Kinsley, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Kinsley, Olivia during lunch hours on 2015/12/31?\", \"27 minutes\"], [\"who did I talk to on 2015/12/31?\", \"Piper, Layla, Kinsley, Olivia\"], [\"Did I talk to Piper, Layla, Kinsley, Olivia on 2015/12/31?\", \"yes\"], [\"Did I talk to anyone on 2015/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/01\": {\"read\": {\"eid\": \"e9087\", \"logical_representation\": [\"2016/01/01\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/01/01?\", \"9 minutes\"], [\"what did I read on 2016/01/01?\", \"a book\"], [\"Did I read on 2016/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9231\", \"logical_representation\": [\"2016/01/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/01/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9232\", \"logical_representation\": [\"2016/01/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee, Nora, Nevaeh, Claire, Eva, Avery, Layla, Lydia, Kinsley, Piper, Hazel, Olivia\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9233\", \"logical_representation\": [\"2016/01/01\", \"lunch\", \"a burger\", \"Avery, Jackson\"], \"text_template_based\": \"I had lunch with Avery, Jackson. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/01/01?\", \"Avery, Jackson\"], [\"what did I eat for lunch on 2016/01/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9234\", \"logical_representation\": [\"2016/01/01\", \"dinner\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I had pasta for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/01/01?\", \"Kayden\"], [\"what did I eat for dinner on 2016/01/01\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2016/04/12\": {\"travel\": {\"eid\": \"e9088\", \"logical_representation\": [\"2016/04/12\", \"2016/04/20\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Rio, Brazil\"], \"text_template_based\": \"On 2016/04/12 Benjamin, Jackson, Willow and I went to Rio, Brazil together for 8 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Rio, Brazil on 2016/04/12?\", \"Benjamin, Jackson, Willow\"], [\"who did I go with to Rio, Brazil?\", \"Benjamin, Jackson, Willow\"], [\"where did I go on 2016/04/12?\", \"Rio, Brazil\"], [\"when did I go to Rio, Brazil?\", \"2016/04/12\"], [\"when did I go to Rio, Brazil with Benjamin, Jackson, Willow ?\", \"2016/04/12\"], [\"How long did I stay in Rio, Brazil?\", \"8\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9604\", \"logical_representation\": [\"2016/04/12\", \"dinner\", \"indian food\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9605\", \"logical_representation\": [\"2016/04/12\", \"Avery, Olivia\", \"in the morning\", \"18 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia for 18 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia in the morning on 2016/04/12?\", \"18 minutes\"], [\"who did I talk to on 2016/04/12?\", \"Avery, Olivia\"], [\"Did I talk to Avery, Olivia on 2016/04/12?\", \"yes\"], [\"Did I talk to anyone on 2016/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/13\": {\"places_visited\": {\"eid\": \"e9089\", \"logical_representation\": [\"2016/04/13\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Copacabana\", \"bought some souvenirs\", \"impressed\"], \"text_template_based\": \"During my trip to Rio, Brazil, I visited Copacabana on 2016/04 with Benjamin, Jackson, Willow.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Rio, Brazil on 2016/04\", \"Copacabana\"], [\"when did I visit Copacabana during my trip to Rio, Brazil\", \"2016/04/13\"], [\"when did I visit Copacabana \", \"2016/04/13\"], [\"who went with me to visit Copacabana ?\", \"Benjamin, Jackson, Willow\"], [\"who went with me to visit Copacabana during my trip to Rio, Brazil on 2016/04?\", \"Benjamin, Jackson, Willow\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e9094\", \"logical_representation\": [\"2016/04/13\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Japanese food\", \"Bolinho de bacalhau\"], \"text_template_based\": \"I ate Japanese food at Bolinho de bacalhau with Benjamin, Jackson, Willow on  2016/04/13 when I was in Rio, Brazil.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Bolinho de bacalhau ?\", \"Benjamin, Jackson, Willow\"], [\"who did I eat Japanese food with?\", \"Benjamin, Jackson, Willow\"], [\"where did we eat Japanese food during our trip to Rio, Brazil on  2016/04/13?\", \"Bolinho de bacalhau\"], [\"when did we eat Japanese food at Bolinho de bacalhau during our trip to Rio, Brazil?\", \"2016/04/13\"], [\"when did we eat at Bolinho de bacalhau?\", \"2016/04/13\"], [\"when did we eat Japanese food?\", \"2016/04/13\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9143\", \"logical_representation\": [\"2016/04/13\", \"I went grocery shopping with Emily. I bought some raspberries, coffee, tea, apple juice, and conditioner, toothbrush\", \"raspberries\", \"coffee, tea, apple juice\", \"conditioner, toothbrush\", \"Emily\"], \"text_template_based\": \"I went grocery shopping with Emily. I bought some raspberries, coffee, tea, apple juice, and conditioner, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/04/13?\", \"raspberries, coffee, tea, apple juice, and conditioner, toothbrush\"], [\"what fruits did I buy from the grocery store on 2016/04/13?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2016/04/13?\", \"coffee, tea, apple juice\"], [\"what toiletries did I buy from the grocery store on 2016/04/13?\", \"conditioner, toothbrush\"], [\"who was with me at the grocery store on 2016/04/13?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9606\", \"logical_representation\": [\"2016/04/13\", \"lunch\", \"chinese food\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9607\", \"logical_representation\": [\"2016/04/13\", \"dinner\", \"chinese food\", \"Jackson\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9608\", \"logical_representation\": [\"2016/04/13\", \"Lydia, Claire, Kinsley\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Lydia, Claire, Kinsley for 8 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Kinsley in the early afternoon on 2016/04/13?\", \"8 minutes\"], [\"who did I talk to on 2016/04/13?\", \"Lydia, Claire, Kinsley\"], [\"Did I talk to Lydia, Claire, Kinsley on 2016/04/13?\", \"yes\"], [\"Did I talk to anyone on 2016/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9609\", \"logical_representation\": [\"2016/04/13\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/04/13?\", \"15 minutes\"], [\"what did I read on 2016/04/13?\", \"a book\"], [\"Did I read on 2016/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9610\", \"logical_representation\": [\"2016/04/13\", \"a tv series\", \"19 minutes\"], \"text_template_based\": \"I watched a tv series for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/13?\", \"19 minutes\"], [\"what did I watch on tv on 2016/04/13?\", \"a tv series\"], [\"Did I watch tv on 2016/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/14\": {\"places_visited\": {\"eid\": \"e9090\", \"logical_representation\": [\"2016/04/14\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Cristo Redentor\", \"took a selfie\", \"special\"], \"text_template_based\": \"During my trip to Rio, Brazil, I visited Cristo Redentor on 2016/04 with Benjamin, Jackson, Willow.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Rio, Brazil on 2016/04\", \"Cristo Redentor\"], [\"when did I visit Cristo Redentor during my trip to Rio, Brazil\", \"2016/04/14\"], [\"when did I visit Cristo Redentor \", \"2016/04/14\"], [\"who went with me to visit Cristo Redentor ?\", \"Benjamin, Jackson, Willow\"], [\"who went with me to visit Cristo Redentor during my trip to Rio, Brazil on 2016/04?\", \"Benjamin, Jackson, Willow\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e9095\", \"logical_representation\": [\"2016/04/14\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Italian food\", \"Tapioca\"], \"text_template_based\": \"I ate Italian food at Tapioca with Benjamin, Jackson, Willow on  2016/04/14 when I was in Rio, Brazil.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Tapioca ?\", \"Benjamin, Jackson, Willow\"], [\"who did I eat Italian food with?\", \"Benjamin, Jackson, Willow\"], [\"where did we eat Italian food during our trip to Rio, Brazil on  2016/04/14?\", \"Tapioca\"], [\"when did we eat Italian food at Tapioca during our trip to Rio, Brazil?\", \"2016/04/14\"], [\"when did we eat at Tapioca?\", \"2016/04/14\"], [\"when did we eat Italian food?\", \"2016/04/14\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9611\", \"logical_representation\": [\"2016/04/14\", \"lunch\", \"pasta\", \"Emily, Andrew\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9612\", \"logical_representation\": [\"2016/04/14\", \"dinner\", \"sandwich\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9613\", \"logical_representation\": [\"2016/04/14\", \"Nevaeh, Hazel\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Hazel for 12 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel in the early afternoon on 2016/04/14?\", \"12 minutes\"], [\"who did I talk to on 2016/04/14?\", \"Nevaeh, Hazel\"], [\"Did I talk to Nevaeh, Hazel on 2016/04/14?\", \"yes\"], [\"Did I talk to anyone on 2016/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/15\": {\"places_visited\": {\"eid\": \"e9091\", \"logical_representation\": [\"2016/04/15\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Sugarloaf\", \"took a group photo\", \"special\"], \"text_template_based\": \"During my trip to Rio, Brazil, I visited Sugarloaf on 2016/04 with Benjamin, Jackson, Willow.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Rio, Brazil on 2016/04\", \"Sugarloaf\"], [\"when did I visit Sugarloaf during my trip to Rio, Brazil\", \"2016/04/15\"], [\"when did I visit Sugarloaf \", \"2016/04/15\"], [\"who went with me to visit Sugarloaf ?\", \"Benjamin, Jackson, Willow\"], [\"who went with me to visit Sugarloaf during my trip to Rio, Brazil on 2016/04?\", \"Benjamin, Jackson, Willow\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e9096\", \"logical_representation\": [\"2016/04/15\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Japanese food\", \"Bolinho de bacalhau\"], \"text_template_based\": \"I ate Japanese food at Bolinho de bacalhau with Benjamin, Jackson, Willow on  2016/04/15 when I was in Rio, Brazil.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Bolinho de bacalhau ?\", \"Benjamin, Jackson, Willow\"], [\"who did I eat Japanese food with?\", \"Benjamin, Jackson, Willow\"], [\"where did we eat Japanese food during our trip to Rio, Brazil on  2016/04/15?\", \"Bolinho de 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I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/04/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9615\", \"logical_representation\": [\"2016/04/15\", \"a movie\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/15?\", \"24 minutes\"], [\"what did I watch on tv on 2016/04/15?\", \"a movie\"], [\"Did I watch tv on 2016/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/16\": {\"places_visited\": {\"eid\": \"e9092\", \"logical_representation\": [\"2016/04/16\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Ipanema\", \"took a selfie\", \"impressed\"], \"text_template_based\": \"During my trip to Rio, Brazil, I visited Ipanema on 2016/04 with Benjamin, Jackson, Willow.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Rio, Brazil on 2016/04\", \"Ipanema\"], [\"when did I visit Ipanema during my trip to Rio, Brazil\", \"2016/04/16\"], [\"when did I visit Ipanema \", \"2016/04/16\"], [\"who went with me to visit Ipanema ?\", \"Benjamin, Jackson, Willow\"], [\"who went with me to visit Ipanema during my trip to Rio, Brazil on 2016/04?\", \"Benjamin, Jackson, Willow\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e9097\", \"logical_representation\": [\"2016/04/16\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Japanese food\", \"Bolinho de bacalhau\"], \"text_template_based\": \"I ate Japanese food at Bolinho de bacalhau with Benjamin, Jackson, Willow on  2016/04/16 when I was in Rio, Brazil.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Bolinho de bacalhau ?\", \"Benjamin, Jackson, Willow\"], [\"who did I eat Japanese food with?\", \"Benjamin, Jackson, Willow\"], [\"where did we eat Japanese food during our trip to Rio, Brazil 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\"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Claire, Olivia in the early afternoon on 2016/04/16?\", \"22 minutes\"], [\"who did I talk to on 2016/04/16?\", \"Nora, Rylee, Claire, Olivia\"], [\"Did I talk to Nora, Rylee, Claire, Olivia on 2016/04/16?\", \"yes\"], [\"Did I talk to anyone on 2016/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/17\": {\"places_visited\": {\"eid\": \"e9093\", \"logical_representation\": [\"2016/04/17\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Carnaval\", \"took a group photo\", \"special\"], \"text_template_based\": \"During my trip to Rio, Brazil, I visited Carnaval on 2016/04 with Benjamin, Jackson, Willow.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Rio, Brazil on 2016/04\", \"Carnaval\"], [\"when did I visit Carnaval during my trip to Rio, Brazil\", \"2016/04/17\"], [\"when did I visit Carnaval \", \"2016/04/17\"], [\"who went with me to visit Carnaval ?\", \"Benjamin, Jackson, Willow\"], [\"who went with me to visit Carnaval during my trip to Rio, Brazil on 2016/04?\", \"Benjamin, Jackson, Willow\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e9098\", \"logical_representation\": [\"2016/04/17\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Japanese food\", \"Tapioca\"], \"text_template_based\": \"I ate Japanese food at Tapioca with Benjamin, Jackson, Willow on  2016/04/17 when I was in Rio, Brazil.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Tapioca ?\", \"Benjamin, Jackson, Willow\"], [\"who did I eat Japanese food with?\", \"Benjamin, Jackson, Willow\"], [\"where did we eat Japanese food during our trip to Rio, Brazil on  2016/04/17?\", \"Tapioca\"], [\"when did we eat Japanese food at Tapioca during our trip to Rio, Brazil?\", \"2016/04/17\"], [\"when did we eat at Tapioca?\", \"2016/04/17\"], [\"when did we eat Japanese food?\", \"2016/04/17\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9144\", \"logical_representation\": [\"2016/04/17\", \"I bought some cherres, apricots, guava juice, orange juice, coffee, toothpaste online.\", \"cherres, apricots\", \"guava juice, orange juice, coffee\", \"toothpaste\", \"Carter, Emily\"], \"text_template_based\": \"I bought some cherres, apricots, guava juice, orange juice, coffee, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/04/17?\", \"cherres, apricots, guava juice, orange juice, coffee, and toothpaste\"], [\"what fruits did I buy online on 2016/04/17?\", \"cherres, apricots\"], [\"what drinks did I buy online on 2016/04/17?\", \"guava juice, orange juice, coffee\"], [\"what toiletries did I buy online on 2016/04/17?\", \"toothpaste\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9618\", \"logical_representation\": [\"2016/04/17\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/17\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2016/04/18\": {\"dining\": {\"eid\": \"e9099\", \"logical_representation\": [\"2016/04/18\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Italian food\", \"P\\u00e3o de queijo\"], \"text_template_based\": \"I ate Italian food at P\\u00e3o de queijo with Benjamin, Jackson, Willow on  2016/04/18 when I was in Rio, Brazil.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at P\\u00e3o de queijo ?\", \"Benjamin, Jackson, Willow\"], [\"who did I eat Italian food with?\", \"Benjamin, Jackson, Willow\"], [\"where did we eat Italian food during our trip to Rio, Brazil on  2016/04/18?\", \"P\\u00e3o de queijo\"], [\"when did we eat Italian food at P\\u00e3o de queijo during our trip to Rio, Brazil?\", \"2016/04/18\"], [\"when did we eat at P\\u00e3o de queijo?\", \"2016/04/18\"], [\"when did we eat Italian food?\", \"2016/04/18\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9619\", \"logical_representation\": [\"2016/04/18\", \"breakfast\", \"pancakes\", \"Eva, Nevaeh, Lydia\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/04/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9620\", \"logical_representation\": [\"2016/04/18\", \"lunch\", \"steak\", \"Eva, Layla, Lydia, Nevaeh, Avery, Hazel\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9621\", \"logical_representation\": [\"2016/04/18\", \"Eva, Kinsley\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley for 22 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley late in the evening on 2016/04/18?\", \"22 minutes\"], [\"who did I talk to on 2016/04/18?\", \"Eva, Kinsley\"], [\"Did I talk to Eva, Kinsley on 2016/04/18?\", \"yes\"], [\"Did I talk to anyone on 2016/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9622\", \"logical_representation\": [\"2016/04/18\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/04/18?\", \"19 minutes\"], [\"what did I read on 2016/04/18?\", \"social media\"], [\"Did I read on 2016/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9623\", \"logical_representation\": [\"2016/04/18\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/18?\", \"22 minutes\"], [\"what did I watch on tv on 2016/04/18?\", \"news\"], [\"Did I watch tv on 2016/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/19\": {\"dining\": {\"eid\": \"e9100\", \"logical_representation\": [\"2016/04/19\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Chinese food\", \"Bolinho de bacalhau\"], \"text_template_based\": \"I ate Chinese food at Bolinho de bacalhau with Benjamin, Jackson, Willow on  2016/04/19 when I was in Rio, Brazil.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Bolinho de bacalhau ?\", \"Benjamin, Jackson, Willow\"], [\"who did I eat Chinese food with?\", \"Benjamin, Jackson, Willow\"], [\"where did we eat Chinese food during our trip to Rio, Brazil on  2016/04/19?\", \"Bolinho de bacalhau\"], [\"when did we eat Chinese food at Bolinho de bacalhau during our trip to Rio, Brazil?\", \"2016/04/19\"], [\"when did we eat at Bolinho de bacalhau?\", \"2016/04/19\"], [\"when did we eat Chinese food?\", \"2016/04/19\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9624\", \"logical_representation\": [\"2016/04/19\", \"dinner\", \"fish and chips\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9625\", \"logical_representation\": [\"2016/04/19\", \"Kinsley\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I talked to Kinsley for 51 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2016/04/19?\", \"51 minutes\"], [\"who did I talk to on 2016/04/19?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2016/04/19?\", \"yes\"], [\"Did I talk to anyone on 2016/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9626\", \"logical_representation\": [\"2016/04/19\", \"Layla, Avery, Piper\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Layla, Avery, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Piper in the early evening on 2016/04/19?\", \"30 minutes\"], [\"who did I talk to on 2016/04/19?\", \"Layla, Avery, Piper\"], [\"Did I talk to Layla, Avery, Piper on 2016/04/19?\", \"yes\"], [\"Did I talk to anyone on 2016/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9627\", \"logical_representation\": [\"2016/04/19\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/04/19?\", \"27 minutes\"], [\"what did I read on 2016/04/19?\", \"social media\"], [\"Did I read on 2016/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9628\", \"logical_representation\": [\"2016/04/19\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/19?\", \"27 minutes\"], [\"what did I watch on tv on 2016/04/19?\", \"a documentary\"], [\"Did I watch tv on 2016/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/20\": {\"dining\": {\"eid\": \"e9101\", \"logical_representation\": [\"2016/04/20\", [\"Benjamin\", \"Jackson\", \"Willow\"], \"Indian food\", \"P\\u00e3o de queijo\"], \"text_template_based\": \"I ate Indian food at P\\u00e3o de queijo with Benjamin, Jackson, Willow on  2016/04/20 when I was in Rio, Brazil.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at P\\u00e3o de queijo ?\", \"Benjamin, Jackson, Willow\"], [\"who did I eat Indian food with?\", \"Benjamin, Jackson, Willow\"], [\"where did we eat Indian food during our trip to Rio, Brazil on  2016/04/20?\", \"P\\u00e3o de queijo\"], [\"when did we eat Indian food at P\\u00e3o de queijo during our trip to Rio, Brazil?\", \"2016/04/20\"], [\"when did we eat at P\\u00e3o de queijo?\", \"2016/04/20\"], [\"when did we eat Indian food?\", \"2016/04/20\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9629\", \"logical_representation\": [\"2016/04/20\", \"breakfast\", \"cereals\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had cereals for breakfast with Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/04/20?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2016/04/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9630\", \"logical_representation\": [\"2016/04/20\", \"Claire, Nevaeh\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Claire, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh in the morning on 2016/04/20?\", \"7 minutes\"], [\"who did I talk to on 2016/04/20?\", \"Claire, Nevaeh\"], [\"Did I talk to Claire, Nevaeh on 2016/04/20?\", \"yes\"], [\"Did I talk to anyone on 2016/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/06\": {\"personal_medical_care\": {\"eid\": \"e9102\", \"logical_representation\": [\"2016/05/06\", \"I went for an annual physical checkup on 2016/05/06 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual physical checkup on 2016/05/06 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual physical checkup in 2016?\", \"2016/05/06\"], [\"where did I go for an annual physical checkup on 2016/05/06\", \"university hospital\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e9149\", \"logical_representation\": [\"2016/05/06\", \"I spent time working out on 2016/05/06 with Andrew, Emily.\", \"working out\", \"Andrew, Emily\"], \"text_template_based\": \"I spent time working out on 2016/05/06 with Andrew, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Andrew, Emily?\", \"2016/05/06\"], [\"On 2016/05/06, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2016/05/06?\", \"Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9694\", \"logical_representation\": [\"2016/05/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/05/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9695\", \"logical_representation\": [\"2016/05/06\", \"breakfast\", \"peanut-butter-jam\", \"Eva, Piper, Hazel, Nora, Lydia, Piper, Avery, Rylee, Olivia, Nevaeh, Layla, Kinsley\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9696\", \"logical_representation\": [\"2016/05/06\", \"dinner\", \"sandwich\", \"Avery, Layla, Rylee, Kinsley, Piper, Piper, Nevaeh, Nora, Lydia\"], \"text_template_based\": \"I had dinner with Avery, Layla, Rylee, Kinsley, Piper, Piper, Nevaeh, Nora, Lydia. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/05/06?\", \"Avery, Layla, Rylee, Kinsley, Piper, Piper, Nevaeh, Nora, Lydia\"], [\"what did I eat for dinner on 2016/05/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9697\", \"logical_representation\": [\"2016/05/06\", \"Piper, Lydia, Piper, Nevaeh\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Piper, Nevaeh for 22 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Piper, Nevaeh in the early afternoon on 2016/05/06?\", \"22 minutes\"], [\"who did I talk to on 2016/05/06?\", \"Piper, Lydia, Piper, Nevaeh\"], [\"Did I talk to Piper, Lydia, Piper, Nevaeh on 2016/05/06?\", \"yes\"], [\"Did I talk to anyone on 2016/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9698\", \"logical_representation\": [\"2016/05/06\", \"Olivia\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2016/05/06?\", \"23 minutes\"], [\"who did I talk to on 2016/05/06?\", \"Olivia\"], [\"Did I talk to Olivia on 2016/05/06?\", \"yes\"], [\"Did I talk to anyone on 2016/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9699\", \"logical_representation\": [\"2016/05/06\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/05/06?\", \"12 minutes\"], [\"what did I read on 2016/05/06?\", \"social media\"], [\"Did I read on 2016/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9700\", \"logical_representation\": [\"2016/05/06\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I watched a movie for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/06?\", \"43 minutes\"], [\"what did I watch on tv on 2016/05/06?\", \"a movie\"], [\"Did I watch tv on 2016/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/14\": {\"personal_medical_care\": {\"eid\": \"e9103\", \"logical_representation\": [\"2016/01/14\", \"I went for an annual dental cleaning and checkup on 2016/01/14 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I went for an annual dental cleaning and checkup on 2016/01/14 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual dental cleaning and checkup in 2016?\", \"2016/01/14\"], [\"where did I go for an annual dental cleaning and checkup on 2016/01/14\", \"private clinic\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e9106\", \"logical_representation\": [\"2016/01/14\", \"Elena\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Elena on 2016/01/14 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/01/14\", \"Elena\"], [\"where did I go for the date on 2016/01/14\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9275\", \"logical_representation\": [\"2016/01/14\", \"breakfast\", \"oatmeal\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9276\", \"logical_representation\": [\"2016/01/14\", \"lunch\", \"steak\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/01/14\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2016/04/26\": {\"parent_medical_care\": {\"eid\": \"e9104\", \"logical_representation\": [\"2016/04/26\", \"I took my parents for their for an annual physical checkup on 2016/04/26 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I took my parents for their for an annual physical checkup on 2016/04/26 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2016?\", \"2016/04/26\"], [\"what did I do on 2016/04/26\", \"I took my parents for their for an annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"bake\": {\"eid\": \"e9145\", \"logical_representation\": [\"2016/04/26\", \"I was baking brown sugar-pear puff pastries on 2016/04/26 with Emily, Kayden, Carter, Andrew at my place\", \"bake\", \"brown sugar-pear puff pastries\", \"Emily, Kayden, Carter, Andrew\", \"my place\"], \"text_template_based\": \"I was baking brown sugar-pear puff pastries on 2016/04/26 with Emily, Kayden, Carter, Andrew at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  brown sugar-pear puff pastries with Emily, Kayden, Carter, Andrew?\", \"2016/04/26\"], [\"what did I  on 2016/04/26?\", \"brown sugar-pear puff pastries\"], [\"who was I with when I  brown sugar-pear puff pastries on 2016/04/26?\", \"Emily, Kayden, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9653\", \"logical_representation\": [\"2016/04/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/04/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9654\", \"logical_representation\": [\"2016/04/26\", \"dinner\", \"sushi\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had dinner with Jackson, Benjamin. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/04/26?\", \"Jackson, Benjamin\"], [\"what did I eat for dinner on 2016/04/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9655\", \"logical_representation\": [\"2016/04/26\", \"Claire, Layla, Eva, Hazel\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Claire, Layla, Eva, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Eva, Hazel in the morning on 2016/04/26?\", \"11 minutes\"], [\"who did I talk to on 2016/04/26?\", \"Claire, Layla, Eva, Hazel\"], [\"Did I talk to Claire, Layla, Eva, Hazel on 2016/04/26?\", \"yes\"], [\"Did I talk to anyone on 2016/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9656\", \"logical_representation\": [\"2016/04/26\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/26?\", \"23 minutes\"], [\"what did I watch on tv on 2016/04/26?\", \"a documentary\"], [\"Did I watch tv on 2016/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/28\": {\"parent_medical_care\": {\"eid\": \"e9105\", \"logical_representation\": [\"2016/11/28\", \"I took my parents for their for an annual dental cleaning and checkup on 2016/11/28 at the hospital.\", \"hospital\"], \"text_template_based\": \"I took my parents for their for an annual dental cleaning and checkup on 2016/11/28 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2016?\", \"2016/11/28\"], [\"what did I do on 2016/11/28\", \"I took my parents for their for an annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e9218\", \"logical_representation\": [\"2016/11/28\", \"Julian\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Julian on 2016/11/28 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/11/28\", \"Julian\"], [\"where did I go for the date on 2016/11/28\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10510\", \"logical_representation\": [\"2016/11/28\", \"lunch\", \"fish and chips\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had fish and chips for lunch with Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/11/28?\", \"Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2016/11/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10511\", \"logical_representation\": [\"2016/11/28\", \"Nora, Claire, Rylee\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Nora, Claire, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Rylee in the morning on 2016/11/28?\", \"6 minutes\"], [\"who did I talk to on 2016/11/28?\", \"Nora, Claire, Rylee\"], [\"Did I talk to Nora, Claire, Rylee on 2016/11/28?\", \"yes\"], [\"Did I talk to anyone on 2016/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10512\", \"logical_representation\": [\"2016/11/28\", \"Nevaeh, Piper, Lydia\", \"late in the evening\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Nevaeh, Piper, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Lydia late in the evening on 2016/11/28?\", \"50 minutes\"], [\"who did I talk to on 2016/11/28?\", \"Nevaeh, Piper, Lydia\"], [\"Did I talk to Nevaeh, Piper, Lydia on 2016/11/28?\", \"yes\"], [\"Did I talk to anyone on 2016/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10513\", \"logical_representation\": [\"2016/11/28\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/11/28?\", \"14 minutes\"], [\"what did I read on 2016/11/28?\", \"a book\"], [\"Did I read on 2016/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10514\", \"logical_representation\": [\"2016/11/28\", \"a movie\", \"24 minutes\"], \"text_template_based\": \"I watched a movie for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/28?\", \"24 minutes\"], [\"what did I watch on tv on 2016/11/28?\", \"a movie\"], [\"Did I watch tv on 2016/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/13\": {\"hobbies\": {\"eid\": \"e9107\", \"logical_representation\": [\"2016/01/13\", \"I spent time meditation on 2016/01/13 with Emily, Kayden.\", \"meditation\", \"Emily, Kayden\"], \"text_template_based\": \"I spent time meditation on 2016/01/13 with Emily, Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Emily, Kayden?\", \"2016/01/13\"], [\"On 2016/01/13, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2016/01/13?\", \"Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9271\", \"logical_representation\": [\"2016/01/13\", \"running\"], \"text_template_based\": \"I did running on 2016/01/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/13?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9272\", \"logical_representation\": [\"2016/01/13\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had tacos for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/01/13?\", \"Emily\"], [\"what did I eat for lunch on 2016/01/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9273\", \"logical_representation\": [\"2016/01/13\", \"dinner\", \"fish and chips\", \"Kinsley, Olivia, Lydia, Nora, Avery\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/01/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9274\", \"logical_representation\": [\"2016/01/13\", \"Avery, Lydia\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Avery, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia in the late afternoon on 2016/01/13?\", \"15 minutes\"], [\"who did I talk to on 2016/01/13?\", \"Avery, Lydia\"], [\"Did I talk to Avery, Lydia on 2016/01/13?\", \"yes\"], [\"Did I talk to anyone on 2016/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/19\": {\"dating\": {\"eid\": \"e9108\", \"logical_representation\": [\"2016/01/19\", \"Christophe\", \"a restaurant\"], \"text_template_based\": \"On 2016/01/19, I took Christophe on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/01/19\", \"Christophe\"], [\"where did I go for the date on 2016/01/19\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9290\", \"logical_representation\": [\"2016/01/19\", \"lunch\", \"steak\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/01/19\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9291\", \"logical_representation\": [\"2016/01/19\", \"Piper, Eva, Kinsley, Layla\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Piper, Eva, Kinsley, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Kinsley, Layla in the early afternoon on 2016/01/19?\", \"47 minutes\"], [\"who did I talk to on 2016/01/19?\", \"Piper, Eva, Kinsley, Layla\"], [\"Did I talk to Piper, Eva, Kinsley, Layla on 2016/01/19?\", \"yes\"], [\"Did I talk to anyone on 2016/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9292\", \"logical_representation\": [\"2016/01/19\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/01/19?\", \"34 minutes\"], [\"what did I read on 2016/01/19?\", \"social media\"], [\"Did I read on 2016/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9293\", \"logical_representation\": [\"2016/01/19\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I watched a documentary for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/19?\", \"17 minutes\"], [\"what did I watch on tv on 2016/01/19?\", \"a documentary\"], [\"Did I watch tv on 2016/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/22\": {\"dating\": {\"eid\": \"e9109\", \"logical_representation\": [\"2016/01/22\", \"Adrian\", \"a coffee Shop\"], \"text_template_based\": \"On 2016/01/22, I took Adrian on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/01/22\", \"Adrian\"], [\"where did I go for the date on 2016/01/22\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9301\", \"logical_representation\": [\"2016/01/22\", \"running\"], \"text_template_based\": \"I did running on 2016/01/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9302\", \"logical_representation\": [\"2016/01/22\", \"breakfast\", \"pancakes\", \"Rylee, Layla, Kinsley, Avery, Nora, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9303\", \"logical_representation\": [\"2016/01/22\", \"lunch\", \"indian food\", \"Olivia, Lydia, Hazel, Rylee, Kinsley, Layla, Nora, Avery, Piper, Eva, Nevaeh, Claire\"], \"text_template_based\": \"I had indian food for lunch with Olivia, Lydia, Hazel, Rylee, Kinsley, Layla, Nora, Avery, Piper, Eva, Nevaeh, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/01/22?\", \"Olivia, Lydia, Hazel, Rylee, Kinsley, Layla, Nora, Avery, Piper, Eva, Nevaeh, Claire\"], [\"what did I eat for lunch on 2016/01/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9304\", \"logical_representation\": [\"2016/01/22\", \"dinner\", \"chinese food\", \"Kayden, Andrew\"], \"text_template_based\": \"I had chinese food for dinner with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/01/22?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2016/01/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9305\", \"logical_representation\": [\"2016/01/22\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/01/22?\", \"11 minutes\"], [\"what did I read on 2016/01/22?\", \"news\"], [\"Did I read on 2016/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9306\", \"logical_representation\": [\"2016/01/22\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I watched a tv series for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/22?\", \"32 minutes\"], [\"what did I watch on tv on 2016/01/22?\", \"a tv series\"], [\"Did I watch tv on 2016/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/26\": {\"hobbies\": {\"eid\": \"e9110\", \"logical_representation\": [\"2016/01/26\", \"I spent some time working out on 2016/01/26.\", \"working out\", \"Andrew, Kayden\"], \"text_template_based\": \"I spent some time working out on 2016/01/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2016/01/26\"], [\"On 2016/01/26, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9111\", \"logical_representation\": [\"2016/01/26\", \"I went grocery shopping with Kinsley. I bought some pears, mandarins, blackberries, mangos, mango juice, mineral water, chocolate milk, and shampoo, toilet paper, mouth wash\", \"pears, mandarins, blackberries, mangos\", \"mango juice, mineral water, chocolate milk\", \"shampoo, toilet paper, mouth wash\", \"Kinsley\"], \"text_template_based\": \"I went grocery shopping with Kinsley. I bought some pears, mandarins, blackberries, mangos, mango juice, mineral water, chocolate milk, and shampoo, toilet paper, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/01/26?\", \"pears, mandarins, blackberries, mangos, mango juice, mineral water, chocolate milk, and shampoo, toilet paper, mouth wash\"], [\"what fruits did I buy from the grocery store on 2016/01/26?\", \"pears, mandarins, blackberries, mangos\"], [\"what drinks did I buy from the grocery store on 2016/01/26?\", \"mango juice, mineral water, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2016/01/26?\", \"shampoo, toilet paper, mouth wash\"], [\"who was with me at the grocery store on 2016/01/26?\", \"Kinsley\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9317\", \"logical_representation\": [\"2016/01/26\", \"Avery, Eva, Nora, Rylee\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Avery, Eva, Nora, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Nora, Rylee in the late afternoon on 2016/01/26?\", \"23 minutes\"], [\"who did I talk to on 2016/01/26?\", \"Avery, Eva, Nora, Rylee\"], [\"Did I talk to Avery, Eva, Nora, Rylee on 2016/01/26?\", \"yes\"], [\"Did I talk to anyone on 2016/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9318\", \"logical_representation\": [\"2016/01/26\", \"Nora\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Nora for 25 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2016/01/26?\", \"25 minutes\"], [\"who did I talk to on 2016/01/26?\", \"Nora\"], [\"Did I talk to Nora on 2016/01/26?\", \"yes\"], [\"Did I talk to anyone on 2016/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9319\", \"logical_representation\": [\"2016/01/26\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/01/26?\", \"34 minutes\"], [\"what did I read on 2016/01/26?\", \"news\"], [\"Did I read on 2016/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9320\", \"logical_representation\": [\"2016/01/26\", \"news\", \"34 minutes\"], \"text_template_based\": \"I watched news for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/26?\", \"34 minutes\"], [\"what did I watch on tv on 2016/01/26?\", \"news\"], [\"Did I watch tv on 2016/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/03\": {\"hobbies\": {\"eid\": \"e9112\", \"logical_representation\": [\"2016/02/03\", \"I spent time yoga on 2016/02/03 with Avery, Willow, Jackson.\", \"yoga\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I spent time yoga on 2016/02/03 with Avery, Willow, Jackson.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Avery, Willow, Jackson?\", \"2016/02/03\"], [\"On 2016/02/03, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2016/02/03?\", \"Avery, Willow, Jackson\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9352\", \"logical_representation\": [\"2016/02/03\", \"lunch\", \"a burger\", \"Olivia\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/02/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9353\", \"logical_representation\": [\"2016/02/03\", \"dinner\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/02/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9354\", \"logical_representation\": [\"2016/02/03\", \"Kinsley\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2016/02/03?\", \"19 minutes\"], [\"who did I talk to on 2016/02/03?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2016/02/03?\", \"yes\"], [\"Did I talk to anyone on 2016/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9355\", \"logical_representation\": [\"2016/02/03\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/02/03?\", \"22 minutes\"], [\"what did I read on 2016/02/03?\", \"a book\"], [\"Did I read on 2016/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9356\", \"logical_representation\": [\"2016/02/03\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/03?\", \"17 minutes\"], [\"what did I watch on tv on 2016/02/03?\", \"news\"], [\"Did I watch tv on 2016/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/30\": {\"grocery\": {\"eid\": \"e9113\", \"logical_representation\": [\"2016/01/30\", \"I went grocery shopping. I bought some blueberries, cherres, clementines, mineral water, soda, coffee, and toothpaste, toothbrush, shampoo, body lotion\", \"blueberries, cherres, clementines\", \"mineral water, soda, coffee\", \"toothpaste, toothbrush, shampoo, body lotion\", \"Carter, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some blueberries, cherres, clementines, mineral water, soda, coffee, and toothpaste, toothbrush, shampoo, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/01/30?\", \"blueberries, cherres, clementines, mineral water, soda, coffee, and toothpaste, toothbrush, shampoo, body lotion\"], [\"what fruits did I buy from the grocery store on 2016/01/30?\", \"blueberries, cherres, clementines\"], [\"what drinks did I buy from the grocery store on 2016/01/30?\", \"mineral water, soda, coffee\"], [\"what toiletries did I buy from the grocery store on 2016/01/30?\", \"toothpaste, toothbrush, shampoo, body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9335\", \"logical_representation\": [\"2016/01/30\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/01/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/30?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9336\", \"logical_representation\": [\"2016/01/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Piper, Piper, Avery, Layla, Olivia, Kinsley, Nora, Nevaeh, Lydia, Claire\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9337\", \"logical_representation\": [\"2016/01/30\", \"lunch\", \"sushi\", \"Kayden, Andrew\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/01/30\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9338\", \"logical_representation\": [\"2016/01/30\", \"dinner\", \"sushi\", \"Rylee, Kinsley, Nevaeh, Piper, Layla, Piper, Avery\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/01/30\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9339\", \"logical_representation\": [\"2016/01/30\", \"Olivia\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2016/01/30?\", \"22 minutes\"], [\"who did I talk to on 2016/01/30?\", \"Olivia\"], [\"Did I talk to Olivia on 2016/01/30?\", \"yes\"], [\"Did I talk to anyone on 2016/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9340\", \"logical_representation\": [\"2016/01/30\", \"Claire, Layla, Piper\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Claire, Layla, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Piper during lunch hours on 2016/01/30?\", \"55 minutes\"], [\"who did I talk to on 2016/01/30?\", \"Claire, Layla, Piper\"], [\"Did I talk to Claire, Layla, Piper on 2016/01/30?\", \"yes\"], [\"Did I talk to anyone on 2016/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9341\", \"logical_representation\": [\"2016/01/30\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/30?\", \"32 minutes\"], [\"what did I watch on tv on 2016/01/30?\", \"news\"], [\"Did I watch tv on 2016/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/02\": {\"grocery\": {\"eid\": \"e9114\", \"logical_representation\": [\"2016/02/02\", \"I bought some mandarins, peaches, apricots, chocolate milk, soda, paper towel, toothbrush online.\", \"mandarins, peaches, apricots\", \"chocolate milk, soda\", \"paper towel, toothbrush\", \"Kinsley, Hazel, Layla, Claire, Lydia, Piper, Avery\"], \"text_template_based\": \"I bought some mandarins, peaches, apricots, chocolate milk, soda, paper towel, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/02/02?\", \"mandarins, peaches, apricots, chocolate milk, soda, and paper towel, toothbrush\"], [\"what fruits did I buy online on 2016/02/02?\", \"mandarins, peaches, apricots\"], [\"what drinks did I buy online on 2016/02/02?\", \"chocolate milk, soda\"], [\"what toiletries did I buy online on 2016/02/02?\", \"paper towel, toothbrush\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9348\", \"logical_representation\": [\"2016/02/02\", \"dinner\", \"sandwich\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/02/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9349\", \"logical_representation\": [\"2016/02/02\", \"Avery\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I talked to Avery for 30 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2016/02/02?\", \"30 minutes\"], [\"who did I talk to on 2016/02/02?\", \"Avery\"], [\"Did I talk to Avery on 2016/02/02?\", \"yes\"], [\"Did I talk to anyone on 2016/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9350\", \"logical_representation\": [\"2016/02/02\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/02/02?\", \"29 minutes\"], [\"what did I read on 2016/02/02?\", \"social media\"], [\"Did I read on 2016/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9351\", \"logical_representation\": [\"2016/02/02\", \"news\", \"11 minutes\"], \"text_template_based\": \"I watched news for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/02?\", \"11 minutes\"], [\"what did I watch on tv on 2016/02/02?\", \"news\"], [\"Did I watch tv on 2016/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/07\": {\"dating\": {\"eid\": \"e9115\", \"logical_representation\": [\"2016/02/07\", \"Alexander\", \"a coffee Shop\"], \"text_template_based\": \"On 2016/02/07, I took Alexander on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/02/07\", \"Alexander\"], [\"where did I go for the date on 2016/02/07\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9118\", \"logical_representation\": [\"2016/02/07\", \"I went grocery shopping with Nora, Layla, Olivia, Kinsley, Hazel, Rylee, Avery, Lydia, Nevaeh, Piper, Claire, Eva, Piper. I bought some blueberries, apricots, bananas, pineapples, guava juice, chocolate milk, and toilet paper\", \"blueberries, apricots, bananas, pineapples\", \"guava juice, chocolate milk\", \"toilet paper\", \"Nora, Layla, Olivia, Kinsley, Hazel, Rylee, Avery, Lydia, Nevaeh, Piper, Claire, Eva, Piper\"], \"text_template_based\": \"I went grocery shopping with Nora, Layla, Olivia, Kinsley, Hazel, Rylee, Avery, Lydia, Nevaeh, Piper, Claire, Eva, Piper. I bought some blueberries, apricots, bananas, pineapples, guava juice, chocolate milk, and toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/02/07?\", \"blueberries, apricots, bananas, pineapples, guava juice, chocolate milk, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2016/02/07?\", \"blueberries, apricots, bananas, pineapples\"], [\"what drinks did I buy from the grocery store on 2016/02/07?\", \"guava juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2016/02/07?\", \"toilet paper\"], [\"who was with me at the grocery store on 2016/02/07?\", \"Nora, Layla, Olivia, Kinsley, Hazel, Rylee, Avery, Lydia, Nevaeh, Piper, Claire, Eva, Piper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9369\", \"logical_representation\": [\"2016/02/07\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/02/07\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9370\", \"logical_representation\": [\"2016/02/07\", \"lunch\", \"tacos\", \"Rylee, Piper, Claire, Layla, Olivia, Nevaeh, Kinsley, Lydia, Avery, Hazel\"], \"text_template_based\": \"I had lunch with Rylee, Piper, Claire, Layla, Olivia, Nevaeh, Kinsley, Lydia, Avery, Hazel. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/02/07?\", \"Rylee, Piper, Claire, Layla, Olivia, Nevaeh, Kinsley, Lydia, Avery, Hazel\"], [\"what did I eat for lunch on 2016/02/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9371\", \"logical_representation\": [\"2016/02/07\", \"Piper, Kinsley\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley for 55 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley in the morning on 2016/02/07?\", \"55 minutes\"], [\"who did I talk to on 2016/02/07?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2016/02/07?\", \"yes\"], [\"Did I talk to anyone on 2016/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9372\", \"logical_representation\": [\"2016/02/07\", \"Eva, Layla, Rylee, Nora\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I talked to Eva, Layla, Rylee, Nora for 35 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Rylee, Nora in the morning on 2016/02/07?\", \"35 minutes\"], [\"who did I talk to on 2016/02/07?\", \"Eva, Layla, Rylee, Nora\"], [\"Did I talk to Eva, Layla, Rylee, Nora on 2016/02/07?\", \"yes\"], [\"Did I talk to anyone on 2016/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9373\", \"logical_representation\": [\"2016/02/07\", \"social media\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/02/07?\", \"15 minutes\"], [\"what did I read on 2016/02/07?\", \"social media\"], [\"Did I read on 2016/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/08\": {\"dating\": {\"eid\": \"e9116\", \"logical_representation\": [\"2016/02/08\", \"Claire\", \"a coffee Shop\"], \"text_template_based\": \"On 2016/02/08, I took Claire on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/02/08\", \"Claire\"], [\"where did I go for the date on 2016/02/08\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9374\", \"logical_representation\": [\"2016/02/08\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/02/08?\", \"Emily\"], [\"what did I eat for dinner on 2016/02/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9375\", \"logical_representation\": [\"2016/02/08\", \"Olivia\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Olivia for 31 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2016/02/08?\", \"31 minutes\"], [\"who did I talk to on 2016/02/08?\", \"Olivia\"], [\"Did I talk to Olivia on 2016/02/08?\", \"yes\"], [\"Did I talk to anyone on 2016/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9376\", \"logical_representation\": [\"2016/02/08\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/02/08?\", \"17 minutes\"], [\"what did I read on 2016/02/08?\", \"social media\"], [\"Did I read on 2016/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9377\", \"logical_representation\": [\"2016/02/08\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/08?\", \"50 minutes\"], [\"what did I watch on tv on 2016/02/08?\", \"a tv series\"], [\"Did I watch tv on 2016/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/05\": {\"hobbies\": {\"eid\": \"e9117\", \"logical_representation\": [\"2016/02/05\", \"I spent time gardening on 2016/02/05 with Carter.\", \"gardening\", \"Carter\"], \"text_template_based\": \"I spent time gardening on 2016/02/05 with Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Carter?\", \"2016/02/05\"], [\"On 2016/02/05, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2016/02/05?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9363\", \"logical_representation\": [\"2016/02/05\", \"lunch\", \"fish and chips\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/02/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9364\", \"logical_representation\": [\"2016/02/05\", \"dinner\", \"chinese food\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/02/05\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9365\", \"logical_representation\": [\"2016/02/05\", \"Claire, Rylee, Hazel, Eva\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Claire, Rylee, Hazel, Eva for 45 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Hazel, Eva late in the evening on 2016/02/05?\", \"45 minutes\"], [\"who did I talk to on 2016/02/05?\", \"Claire, Rylee, Hazel, Eva\"], [\"Did I talk to Claire, Rylee, Hazel, Eva on 2016/02/05?\", \"yes\"], [\"Did I talk to anyone on 2016/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/15\": {\"cook\": {\"eid\": \"e9119\", \"logical_representation\": [\"2016/02/15\", \"I really enjoyed cooking naan bread, cashew chicken  on 2016/02/15 with Andrew, Carter, Emily at my place\", \"cook\", \"naan bread, cashew chicken \", \"Andrew, Carter, Emily\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking naan bread, cashew chicken  on 2016/02/15 with Andrew, Carter, Emily at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  naan bread, cashew chicken  with Andrew, Carter, Emily?\", \"2016/02/15\"], [\"what did I  on 2016/02/15?\", \"naan bread, cashew chicken \"], [\"who was I with when I  naan bread, cashew chicken  on 2016/02/15?\", \"Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e9120\", \"logical_representation\": [\"2016/02/15\", \"Alexander\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Alexander on 2016/02/15 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/02/15\", \"Alexander\"], [\"where did I go for the date on 2016/02/15\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9401\", \"logical_representation\": [\"2016/02/15\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Piper\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/02/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9402\", \"logical_representation\": [\"2016/02/15\", \"lunch\", \"fish and chips\", \"Avery, Nora, Eva, Lydia, Nevaeh, Claire, Olivia, Hazel, Piper, Kinsley, Layla, Piper, Rylee\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/02/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9403\", \"logical_representation\": [\"2016/02/15\", \"Olivia, Piper\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Olivia, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper in the late afternoon on 2016/02/15?\", \"55 minutes\"], [\"who did I talk to on 2016/02/15?\", \"Olivia, Piper\"], [\"Did I talk to Olivia, Piper on 2016/02/15?\", \"yes\"], [\"Did I talk to anyone on 2016/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9404\", \"logical_representation\": [\"2016/02/15\", \"Piper\", \"in the late afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2016/02/15?\", \"36 minutes\"], [\"who did I talk to on 2016/02/15?\", \"Piper\"], [\"Did I talk to Piper on 2016/02/15?\", \"yes\"], [\"Did I talk to anyone on 2016/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/13\": {\"grocery\": {\"eid\": \"e9121\", \"logical_representation\": [\"2016/02/13\", \"I went grocery shopping with Kinsley, Nevaeh, Layla, Piper, Eva, Nora, Lydia, Rylee, Avery, Hazel, Olivia, Claire, Piper. I bought some mandarins, chocolate milk, and mouthwash, facial wash\", \"mandarins\", \"chocolate milk\", \"mouthwash, facial wash\", \"Kinsley, Nevaeh, Layla, Piper, Eva, Nora, Lydia, Rylee, Avery, Hazel, Olivia, Claire, Piper\"], \"text_template_based\": \"I went grocery shopping with Kinsley, Nevaeh, Layla, Piper, Eva, Nora, Lydia, Rylee, Avery, Hazel, Olivia, Claire, Piper. I bought some mandarins, chocolate milk, and mouthwash, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/02/13?\", \"mandarins, chocolate milk, and mouthwash, facial wash\"], [\"what fruits did I buy from the grocery store on 2016/02/13?\", \"mandarins\"], [\"what drinks did I buy from the grocery store on 2016/02/13?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2016/02/13?\", \"mouthwash, facial wash\"], [\"who was with me at the grocery store on 2016/02/13?\", \"Kinsley, Nevaeh, Layla, Piper, Eva, Nora, Lydia, Rylee, Avery, Hazel, Olivia, Claire, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9391\", \"logical_representation\": [\"2016/02/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/02/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9392\", \"logical_representation\": [\"2016/02/13\", \"dinner\", \"chinese food\", \"Jackson\"], \"text_template_based\": \"I had chinese food for dinner with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/02/13?\", \"Jackson\"], [\"what did I eat for dinner on 2016/02/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9393\", \"logical_representation\": [\"2016/02/13\", \"Piper, Nora, Rylee\", \"in the late afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Rylee for 16 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Rylee in the late afternoon on 2016/02/13?\", \"16 minutes\"], [\"who did I talk to on 2016/02/13?\", \"Piper, Nora, Rylee\"], [\"Did I talk to Piper, Nora, Rylee on 2016/02/13?\", \"yes\"], [\"Did I talk to anyone on 2016/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9394\", \"logical_representation\": [\"2016/02/13\", \"Nevaeh, Layla, Kinsley\", \"during lunch hours\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Nevaeh, Layla, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Kinsley during lunch hours on 2016/02/13?\", \"19 minutes\"], [\"who did I talk to on 2016/02/13?\", \"Nevaeh, Layla, Kinsley\"], [\"Did I talk to Nevaeh, Layla, Kinsley on 2016/02/13?\", \"yes\"], [\"Did I talk to anyone on 2016/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9395\", \"logical_representation\": [\"2016/02/13\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I watched a movie for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/13?\", \"21 minutes\"], [\"what did I watch on tv on 2016/02/13?\", \"a movie\"], [\"Did I watch tv on 2016/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/25\": {\"dating\": {\"eid\": \"e9122\", \"logical_representation\": [\"2016/02/25\", \"Rylee\", \"a coffee Shop\"], \"text_template_based\": \"On 2016/02/25, I took Rylee on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/02/25\", \"Rylee\"], [\"where did I go for the date on 2016/02/25\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9426\", \"logical_representation\": [\"2016/02/25\", \"breakfast\", \"toast and cheese\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I had toast and cheese for breakfast with Jackson, Avery, Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/02/25?\", \"Jackson, Avery, Benjamin, Willow\"], [\"what did I eat for breakfast on 2016/02/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9427\", \"logical_representation\": [\"2016/02/25\", \"Eva, Hazel, Kinsley\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Eva, Hazel, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Kinsley in the late afternoon on 2016/02/25?\", \"20 minutes\"], [\"who did I talk to on 2016/02/25?\", \"Eva, Hazel, Kinsley\"], [\"Did I talk to Eva, Hazel, Kinsley on 2016/02/25?\", \"yes\"], [\"Did I talk to anyone on 2016/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9428\", \"logical_representation\": [\"2016/02/25\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I watched a documentary for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/25?\", \"43 minutes\"], [\"what did I watch on tv on 2016/02/25?\", \"a documentary\"], [\"Did I watch tv on 2016/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/23\": {\"grocery\": {\"eid\": \"e9123\", \"logical_representation\": [\"2016/02/23\", \"I went grocery shopping with Carter. I bought some nectarines, clementines, mineral water, sports drinks, guava juice, chocolate milk, and mouthwash, toothbrush\", \"nectarines, clementines\", \"mineral water, sports drinks, guava juice, chocolate milk\", \"mouthwash, toothbrush\", \"Carter\"], \"text_template_based\": \"I went grocery shopping with Carter. I bought some nectarines, clementines, mineral water, sports drinks, guava juice, chocolate milk, and mouthwash, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/02/23?\", \"nectarines, clementines, mineral water, sports drinks, guava juice, chocolate milk, and mouthwash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2016/02/23?\", \"nectarines, clementines\"], [\"what drinks did I buy from the grocery store on 2016/02/23?\", \"mineral water, sports drinks, guava juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2016/02/23?\", \"mouthwash, toothbrush\"], [\"who was with me at the grocery store on 2016/02/23?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9421\", \"logical_representation\": [\"2016/02/23\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/02/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/23?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9422\", \"logical_representation\": [\"2016/02/23\", \"Olivia, Nora\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora for 13 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora in the morning on 2016/02/23?\", \"13 minutes\"], [\"who did I talk to on 2016/02/23?\", \"Olivia, Nora\"], [\"Did I talk to Olivia, Nora on 2016/02/23?\", \"yes\"], [\"Did I talk to anyone on 2016/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/26\": {\"hobbies\": {\"eid\": \"e9124\", \"logical_representation\": [\"2016/02/26\", \"I really enjoyed yoga on 2016/02/26\", \"yoga\", \"Kayden\"], \"text_template_based\": \"I really enjoyed yoga on 2016/02/26\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2016/02/26\"], [\"On 2016/02/26, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9429\", \"logical_representation\": [\"2016/02/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/02/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9430\", \"logical_representation\": [\"2016/02/26\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/02/26?\", \"39 minutes\"], [\"what did I read on 2016/02/26?\", \"social media\"], [\"Did I read on 2016/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/27\": {\"grocery\": {\"eid\": \"e9125\", \"logical_representation\": [\"2016/02/27\", \"I bought some pineapples, mineral water, conditioner, shaving cream, mouthwash from the grocery store. I saw Andrew, Carter at the grocery store.\", \"pineapples\", \"mineral water\", \"conditioner, shaving cream, mouthwash\", \"Andrew, Carter\"], \"text_template_based\": \"I bought some pineapples, mineral water, conditioner, shaving cream, mouthwash from the grocery store. I saw Andrew, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/02/27?\", \"pineapples, mineral water, and conditioner, shaving cream, mouthwash\"], [\"what fruits did I buy from the grocery store on 2016/02/27?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2016/02/27?\", \"mineral water\"], [\"what toiletries did I buy from the grocery store on 2016/02/27?\", \"conditioner, shaving cream, mouthwash\"], [\"who did I see at the grocery store on 2016/02/27?\", \"Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9431\", \"logical_representation\": [\"2016/02/27\", \"lunch\", \"pasta\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Emily, Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/02/27?\", \"Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2016/02/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9432\", \"logical_representation\": [\"2016/02/27\", \"Nevaeh, Lydia, Rylee\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia, Rylee for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Rylee late in the evening on 2016/02/27?\", \"37 minutes\"], [\"who did I talk to on 2016/02/27?\", \"Nevaeh, Lydia, Rylee\"], [\"Did I talk to Nevaeh, Lydia, Rylee on 2016/02/27?\", \"yes\"], [\"Did I talk to anyone on 2016/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9433\", \"logical_representation\": [\"2016/02/27\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/02/27?\", \"39 minutes\"], [\"what did I read on 2016/02/27?\", \"a book\"], [\"Did I read on 2016/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9434\", \"logical_representation\": [\"2016/02/27\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I watched a tv series for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/27?\", \"47 minutes\"], [\"what did I watch on tv on 2016/02/27?\", \"a tv series\"], [\"Did I watch tv on 2016/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/02\": {\"grocery\": {\"eid\": \"e9126\", \"logical_representation\": [\"2016/03/02\", \"I bought some peaches, chocolate milk, paper towel, facial wash, toilet paper, body lotion online.\", \"peaches\", \"chocolate milk\", \"paper towel, facial wash, toilet paper, body lotion\", \"Jackson, Avery\"], \"text_template_based\": \"I bought some peaches, chocolate milk, paper towel, facial wash, toilet paper, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/03/02?\", \"peaches, chocolate milk, and paper towel, facial wash, toilet paper, body lotion\"], [\"what fruits did I buy online on 2016/03/02?\", \"peaches\"], [\"what drinks did I buy online on 2016/03/02?\", \"chocolate milk\"], [\"what toiletries did I buy online on 2016/03/02?\", \"paper towel, facial wash, toilet paper, body lotion\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9444\", \"logical_representation\": [\"2016/03/02\", \"lunch\", \"steak\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9445\", \"logical_representation\": [\"2016/03/02\", \"dinner\", \"a burger\", \"Carter, Kayden\"], \"text_template_based\": \"I had a burger for dinner with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/03/02?\", \"Carter, Kayden\"], [\"what did I eat for dinner on 2016/03/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9446\", \"logical_representation\": [\"2016/03/02\", \"Piper, Rylee, Lydia\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Piper, Rylee, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Lydia in the early afternoon on 2016/03/02?\", \"36 minutes\"], [\"who did I talk to on 2016/03/02?\", \"Piper, Rylee, Lydia\"], [\"Did I talk to Piper, Rylee, Lydia on 2016/03/02?\", \"yes\"], [\"Did I talk to anyone on 2016/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9447\", \"logical_representation\": [\"2016/03/02\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/03/02?\", \"50 minutes\"], [\"what did I read on 2016/03/02?\", \"social media\"], [\"Did I read on 2016/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/05\": {\"cook\": {\"eid\": \"e9127\", \"logical_representation\": [\"2016/03/05\", \"I entertained Rylee at my place on 2016/03/05 and cook general tso\\u2019s chicken, contest-winning broccoli chicken casserole\", \"cook\", \"general tso\\u2019s chicken, contest-winning broccoli chicken casserole\", \"Rylee\", \"my place\"], \"text_template_based\": \"I entertained Rylee at my place on 2016/03/05 and cook general tso\\u2019s chicken, contest-winning broccoli chicken casserole\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook general tso\\u2019s chicken, contest-winning broccoli chicken casserole with Rylee?\", \"2016/03/05\"], [\"what did I cook on 2016/03/05?\", \"general tso\\u2019s chicken, contest-winning broccoli chicken casserole\"], [\"who was I with when I  general tso\\u2019s chicken, contest-winning broccoli chicken casserole on 2016/03/05?\", \"Rylee\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9455\", \"logical_representation\": [\"2016/03/05\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/03/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9456\", \"logical_representation\": [\"2016/03/05\", \"dinner\", \"tacos\", \"Layla, Kinsley, Rylee, Hazel, Nora, Nevaeh, Piper, Eva, Lydia, Claire, Piper, Olivia\"], \"text_template_based\": \"I had tacos for dinner with Layla, Kinsley, Rylee, Hazel, Nora, Nevaeh, Piper, Eva, Lydia, Claire, Piper, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/03/05?\", \"Layla, Kinsley, Rylee, Hazel, Nora, Nevaeh, Piper, Eva, Lydia, Claire, Piper, Olivia\"], [\"what did I eat for dinner on 2016/03/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9457\", \"logical_representation\": [\"2016/03/05\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/03/05?\", \"11 minutes\"], [\"what did I read on 2016/03/05?\", \"news\"], [\"Did I read on 2016/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/04\": {\"dating\": {\"eid\": \"e9128\", \"logical_representation\": [\"2016/03/04\", \"Charlotte\", \"a coffee Shop\"], \"text_template_based\": \"On 2016/03/04, I took Charlotte on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/03/04\", \"Charlotte\"], [\"where did I go for the date on 2016/03/04\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9452\", \"logical_representation\": [\"2016/03/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/03/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9453\", \"logical_representation\": [\"2016/03/04\", \"dinner\", \"sandwich\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/03/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9454\", \"logical_representation\": [\"2016/03/04\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/03/04?\", \"5 minutes\"], [\"what did I read on 2016/03/04?\", \"social media\"], [\"Did I read on 2016/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/07\": {\"hobbies\": {\"eid\": \"e9129\", \"logical_representation\": [\"2016/03/07\", \"I spent some time learning a language on 2016/03/07.\", \"learning a language\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I spent some time learning a language on 2016/03/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2016/03/07\"], [\"On 2016/03/07, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9461\", \"logical_representation\": [\"2016/03/07\", \"breakfast\", \"toast and cheese\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/03/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9462\", \"logical_representation\": [\"2016/03/07\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/03/07?\", \"47 minutes\"], [\"what did I read on 2016/03/07?\", \"a book\"], [\"Did I read on 2016/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9463\", \"logical_representation\": [\"2016/03/07\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I watched a documentary for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/07?\", \"10 minutes\"], [\"what did I watch on tv on 2016/03/07?\", \"a documentary\"], [\"Did I watch tv on 2016/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/08\": {\"grocery\": {\"eid\": \"e9130\", \"logical_representation\": [\"2016/03/08\", \"I went grocery shopping with Nora, Nevaeh, Hazel, Avery, Olivia, Piper, Rylee, Lydia, Claire. I bought some clementines, mineral water, and body lotion\", \"clementines\", \"mineral water\", \"body lotion\", \"Nora, Nevaeh, Hazel, Avery, Olivia, Piper, Rylee, Lydia, Claire\"], \"text_template_based\": \"I went grocery shopping with Nora, Nevaeh, Hazel, Avery, Olivia, Piper, Rylee, Lydia, Claire. I bought some clementines, mineral water, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/03/08?\", \"clementines, mineral water, and body lotion\"], [\"what fruits did I buy from the grocery store on 2016/03/08?\", \"clementines\"], [\"what drinks did I buy from the grocery store on 2016/03/08?\", \"mineral water\"], [\"what toiletries did I buy from the grocery store on 2016/03/08?\", \"body lotion\"], [\"who was with me at the grocery store on 2016/03/08?\", \"Nora, Nevaeh, Hazel, Avery, Olivia, Piper, Rylee, Lydia, Claire\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9464\", \"logical_representation\": [\"2016/03/08\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/03/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/08?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9465\", \"logical_representation\": [\"2016/03/08\", \"Avery, Olivia, Hazel, Lydia\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia, Hazel, Lydia for 19 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Hazel, Lydia in the early evening on 2016/03/08?\", \"19 minutes\"], [\"who did I talk to on 2016/03/08?\", \"Avery, Olivia, Hazel, Lydia\"], [\"Did I talk to Avery, Olivia, Hazel, Lydia on 2016/03/08?\", \"yes\"], [\"Did I talk to anyone on 2016/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9466\", \"logical_representation\": [\"2016/03/08\", \"Hazel, Eva\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Hazel, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Eva in the early afternoon on 2016/03/08?\", \"9 minutes\"], [\"who did I talk to on 2016/03/08?\", \"Hazel, Eva\"], [\"Did I talk to Hazel, Eva on 2016/03/08?\", \"yes\"], [\"Did I talk to anyone on 2016/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9467\", \"logical_representation\": [\"2016/03/08\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/03/08?\", \"51 minutes\"], [\"what did I read on 2016/03/08?\", \"news\"], [\"Did I read on 2016/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/11\": {\"dating\": {\"eid\": \"e9131\", \"logical_representation\": [\"2016/03/11\", \"Penelope\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Penelope on 2016/03/11 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/03/11\", \"Penelope\"], [\"where did I go for the date on 2016/03/11\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9474\", \"logical_representation\": [\"2016/03/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/03/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9475\", \"logical_representation\": [\"2016/03/11\", \"lunch\", \"chinese food\", \"Andrew, Emily\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9476\", \"logical_representation\": [\"2016/03/11\", \"Rylee, Nevaeh, Lydia\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh, Lydia for 41 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Lydia during lunch hours on 2016/03/11?\", \"41 minutes\"], [\"who did I talk to on 2016/03/11?\", \"Rylee, Nevaeh, Lydia\"], [\"Did I talk to Rylee, Nevaeh, Lydia on 2016/03/11?\", \"yes\"], [\"Did I talk to anyone on 2016/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9477\", \"logical_representation\": [\"2016/03/11\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/03/11?\", \"26 minutes\"], [\"what did I read on 2016/03/11?\", \"news\"], [\"Did I read on 2016/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9478\", \"logical_representation\": [\"2016/03/11\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I watched a documentary for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/11?\", \"40 minutes\"], [\"what did I watch on tv on 2016/03/11?\", \"a documentary\"], [\"Did I watch tv on 2016/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/13\": {\"hobbies\": {\"eid\": \"e9132\", \"logical_representation\": [\"2016/03/13\", \"I spent time learning a language on 2016/03/13 with Eva.\", \"learning a language\", \"Eva\"], \"text_template_based\": \"I spent time learning a language on 2016/03/13 with Eva.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Eva?\", \"2016/03/13\"], [\"On 2016/03/13, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2016/03/13?\", \"Eva\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9484\", \"logical_representation\": [\"2016/03/13\", \"lunch\", \"a burger\", \"Layla, Olivia, Nora, Lydia, Piper, Kinsley, Avery, Eva, Piper, Claire, Rylee, Hazel\"], \"text_template_based\": \"I had a burger for lunch with Layla, Olivia, Nora, Lydia, Piper, Kinsley, Avery, Eva, Piper, Claire, Rylee, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/03/13?\", \"Layla, Olivia, Nora, Lydia, Piper, Kinsley, Avery, Eva, Piper, Claire, Rylee, Hazel\"], [\"what did I eat for lunch on 2016/03/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9485\", \"logical_representation\": [\"2016/03/13\", \"dinner\", \"a burger\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/03/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9486\", \"logical_representation\": [\"2016/03/13\", \"Hazel, Lydia, Eva\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia, Eva for 49 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Eva during lunch hours on 2016/03/13?\", \"49 minutes\"], [\"who did I talk to on 2016/03/13?\", \"Hazel, Lydia, Eva\"], [\"Did I talk to Hazel, Lydia, Eva on 2016/03/13?\", \"yes\"], [\"Did I talk to anyone on 2016/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/12\": {\"grocery\": {\"eid\": \"e9133\", \"logical_representation\": [\"2016/03/12\", \"I went grocery shopping. I bought some mangos, cherres, pears, soda, tea, guava juice, coffee, and toothbrush, toothpaste\", \"mangos, cherres, pears\", \"soda, tea, guava juice, coffee\", \"toothbrush, toothpaste\", \"Eva, Piper, Lydia, Kinsley, Rylee, Nevaeh, Hazel, Olivia, Avery, Nora\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, cherres, pears, soda, tea, guava juice, coffee, and toothbrush, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/03/12?\", \"mangos, cherres, pears, soda, tea, guava juice, coffee, and toothbrush, toothpaste\"], [\"what fruits did I buy from the grocery store on 2016/03/12?\", \"mangos, cherres, pears\"], [\"what drinks did I buy from the grocery store on 2016/03/12?\", \"soda, tea, guava juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2016/03/12?\", \"toothbrush, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9479\", \"logical_representation\": [\"2016/03/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/03/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9480\", \"logical_representation\": [\"2016/03/12\", \"lunch\", \"indian food\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9481\", \"logical_representation\": [\"2016/03/12\", \"Layla, Avery, Nevaeh, Hazel\", \"during lunch hours\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Layla, Avery, Nevaeh, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Nevaeh, Hazel during lunch hours on 2016/03/12?\", \"50 minutes\"], [\"who did I talk to on 2016/03/12?\", \"Layla, Avery, Nevaeh, Hazel\"], [\"Did I talk to Layla, Avery, Nevaeh, Hazel on 2016/03/12?\", \"yes\"], [\"Did I talk to anyone on 2016/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9482\", \"logical_representation\": [\"2016/03/12\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/03/12?\", \"47 minutes\"], [\"what did I read on 2016/03/12?\", \"social media\"], [\"Did I read on 2016/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9483\", \"logical_representation\": [\"2016/03/12\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I watched a documentary for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/12?\", \"39 minutes\"], [\"what did I watch on tv on 2016/03/12?\", \"a documentary\"], [\"Did I watch tv on 2016/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/15\": {\"grocery\": {\"eid\": \"e9134\", \"logical_representation\": [\"2016/03/15\", \"I went grocery shopping with Emily, Andrew. I bought some strawberries, pears, sports drinks, chocolate milk, and toothpaste\", \"strawberries, pears\", \"sports drinks, chocolate milk\", \"toothpaste\", \"Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping with Emily, Andrew. I bought some strawberries, pears, sports drinks, chocolate milk, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/03/15?\", \"strawberries, pears, sports drinks, chocolate milk, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2016/03/15?\", \"strawberries, pears\"], [\"what drinks did I buy from the grocery store on 2016/03/15?\", \"sports drinks, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2016/03/15?\", \"toothpaste\"], [\"who was with me at the grocery store on 2016/03/15?\", \"Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9489\", \"logical_representation\": [\"2016/03/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/03/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9490\", \"logical_representation\": [\"2016/03/15\", \"lunch\", \"sushi\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9491\", \"logical_representation\": [\"2016/03/15\", \"dinner\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/03/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9492\", \"logical_representation\": [\"2016/03/15\", \"Olivia, Eva\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Olivia, Eva for 10 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva in the late afternoon on 2016/03/15?\", \"10 minutes\"], [\"who did I talk to on 2016/03/15?\", \"Olivia, Eva\"], [\"Did I talk to Olivia, Eva on 2016/03/15?\", \"yes\"], [\"Did I talk to anyone on 2016/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9493\", \"logical_representation\": [\"2016/03/15\", \"Piper, Hazel, Claire, Layla\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Piper, Hazel, Claire, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Claire, Layla in the early evening on 2016/03/15?\", \"19 minutes\"], [\"who did I talk to on 2016/03/15?\", \"Piper, Hazel, Claire, Layla\"], [\"Did I talk to Piper, Hazel, Claire, Layla on 2016/03/15?\", \"yes\"], [\"Did I talk to anyone on 2016/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9494\", \"logical_representation\": [\"2016/03/15\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/03/15?\", \"42 minutes\"], [\"what did I read on 2016/03/15?\", \"social media\"], [\"Did I read on 2016/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/20\": {\"bake\": {\"eid\": \"e9135\", \"logical_representation\": [\"2016/03/20\", \"I really enjoyed baking cheater\\u2019s mini rhubarb galettes, lemon meringue cookies on 2016/03/20 with Carter, Emily, Kayden at my place\", \"bake\", \"cheater\\u2019s mini rhubarb galettes, lemon meringue cookies\", \"Carter, Emily, Kayden\", \"my place\"], \"text_template_based\": \"I really enjoyed baking cheater\\u2019s mini rhubarb galettes, lemon meringue cookies on 2016/03/20 with Carter, Emily, Kayden at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  cheater\\u2019s mini rhubarb galettes, lemon meringue cookies with Carter, Emily, Kayden?\", \"2016/03/20\"], [\"what did I  on 2016/03/20?\", \"cheater\\u2019s mini rhubarb galettes, lemon meringue cookies\"], [\"who was I with when I  cheater\\u2019s mini rhubarb galettes, lemon meringue cookies on 2016/03/20?\", \"Carter, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9508\", \"logical_representation\": [\"2016/03/20\", \"running\"], \"text_template_based\": \"I did running on 2016/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/20?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9509\", \"logical_representation\": [\"2016/03/20\", \"breakfast\", \"cereals\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had breakfast with Avery, Benjamin, Jackson, Willow. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/03/20?\", \"Avery, Benjamin, Jackson, Willow\"], [\"what did I eat for breakfast on 2016/03/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9510\", \"logical_representation\": [\"2016/03/20\", \"lunch\", \"chinese food\", \"Nora, Claire, Layla, Kinsley, Piper, Nevaeh, Lydia, Piper, Hazel, Avery, Rylee, Eva, Olivia\"], \"text_template_based\": \"I had lunch with Nora, Claire, Layla, Kinsley, Piper, Nevaeh, Lydia, Piper, Hazel, Avery, Rylee, Eva, Olivia. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/03/20?\", \"Nora, Claire, Layla, Kinsley, Piper, Nevaeh, Lydia, Piper, Hazel, Avery, Rylee, Eva, Olivia\"], [\"what did I eat for lunch on 2016/03/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9511\", \"logical_representation\": [\"2016/03/20\", \"Nora, Hazel, Claire, Avery\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Nora, Hazel, Claire, Avery for 9 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel, Claire, Avery in the early evening on 2016/03/20?\", \"9 minutes\"], [\"who did I talk to on 2016/03/20?\", \"Nora, Hazel, Claire, Avery\"], [\"Did I talk to Nora, Hazel, Claire, Avery on 2016/03/20?\", \"yes\"], [\"Did I talk to anyone on 2016/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/22\": {\"dating\": {\"eid\": \"e9136\", \"logical_representation\": [\"2016/03/22\", \"Natalie\", \"a restaurant\"], \"text_template_based\": \"On 2016/03/22, I took Natalie on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/03/22\", \"Natalie\"], [\"where did I go for the date on 2016/03/22\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9515\", \"logical_representation\": [\"2016/03/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/03/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9516\", \"logical_representation\": [\"2016/03/22\", \"breakfast\", \"pancakes\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/03/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9517\", \"logical_representation\": [\"2016/03/22\", \"Nevaeh\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 48 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2016/03/22?\", \"48 minutes\"], [\"who did I talk to on 2016/03/22?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2016/03/22?\", \"yes\"], [\"Did I talk to anyone on 2016/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9518\", \"logical_representation\": [\"2016/03/22\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/03/22?\", \"21 minutes\"], [\"what did I read on 2016/03/22?\", \"news\"], [\"Did I read on 2016/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9519\", \"logical_representation\": [\"2016/03/22\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/22?\", \"22 minutes\"], [\"what did I watch on tv on 2016/03/22?\", \"a movie\"], [\"Did I watch tv on 2016/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/18\": {\"hobbies\": {\"eid\": \"e9137\", \"logical_representation\": [\"2016/03/18\", \"I really enjoyed learning a language on 2016/03/18\", \"learning a language\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I really enjoyed learning a language on 2016/03/18\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2016/03/18\"], [\"On 2016/03/18, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9499\", \"logical_representation\": [\"2016/03/18\", \"lunch\", \"sandwich\", \"Avery, Benjamin\"], \"text_template_based\": \"I had lunch with Avery, Benjamin. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/03/18?\", \"Avery, Benjamin\"], [\"what did I eat for lunch on 2016/03/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9500\", \"logical_representation\": [\"2016/03/18\", \"dinner\", \"steak\", \"Benjamin, Willow\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/03/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9501\", \"logical_representation\": [\"2016/03/18\", \"Nora, Piper\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Nora, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the morning on 2016/03/18?\", \"17 minutes\"], [\"who did I talk to on 2016/03/18?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2016/03/18?\", \"yes\"], [\"Did I talk to anyone on 2016/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9502\", \"logical_representation\": [\"2016/03/18\", \"Claire, Avery, Rylee, Hazel\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I talked to Claire, Avery, Rylee, Hazel for 8 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Rylee, Hazel during lunch hours on 2016/03/18?\", \"8 minutes\"], [\"who did I talk to on 2016/03/18?\", \"Claire, Avery, Rylee, Hazel\"], [\"Did I talk to Claire, Avery, Rylee, Hazel on 2016/03/18?\", \"yes\"], [\"Did I talk to anyone on 2016/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9503\", \"logical_representation\": [\"2016/03/18\", \"a book\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/03/18?\", \"40 minutes\"], [\"what did I read on 2016/03/18?\", \"a book\"], [\"Did I read on 2016/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9504\", \"logical_representation\": [\"2016/03/18\", \"a documentary\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/18?\", \"8 minutes\"], [\"what did I watch on tv on 2016/03/18?\", \"a documentary\"], [\"Did I watch tv on 2016/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/31\": {\"cook\": {\"eid\": \"e9138\", \"logical_representation\": [\"2016/03/31\", \"I entertained Claire, Olivia at my place on 2016/03/31 and cook cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla\", \"cook\", \"cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla\", \"Claire, Olivia\", \"my place\"], \"text_template_based\": \"I entertained Claire, Olivia at my place on 2016/03/31 and cook cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla with Claire, Olivia?\", \"2016/03/31\"], [\"what did I cook on 2016/03/31?\", \"cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla\"], [\"who was I with when I  cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla on 2016/03/31?\", \"Claire, Olivia\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e9139\", \"logical_representation\": [\"2016/03/31\", \"Rylee\", \"a coffee Shop\"], \"text_template_based\": \"On 2016/03/31, I took Rylee on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/03/31\", \"Rylee\"], [\"where did I go for the date on 2016/03/31\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9553\", \"logical_representation\": [\"2016/03/31\", \"biking\"], \"text_template_based\": \"I did biking on 2016/03/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/31?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9554\", \"logical_representation\": [\"2016/03/31\", \"lunch\", \"a burger\", \"Emily, Andrew\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/31\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9555\", \"logical_representation\": [\"2016/03/31\", \"dinner\", \"fish and chips\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/03/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9556\", \"logical_representation\": [\"2016/03/31\", \"Lydia, Nora\", \"in the late afternoon\", \"21 minutes\"], \"text_template_based\": \"I talked to Lydia, Nora for 21 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora in the late afternoon on 2016/03/31?\", \"21 minutes\"], [\"who did I talk to on 2016/03/31?\", \"Lydia, Nora\"], [\"Did I talk to Lydia, Nora on 2016/03/31?\", \"yes\"], [\"Did I talk to anyone on 2016/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/05\": {\"hobbies\": {\"eid\": \"e9140\", \"logical_representation\": [\"2016/04/05\", \"I spent some time yoga on 2016/04/05.\", \"yoga\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I spent some time yoga on 2016/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2016/04/05\"], [\"On 2016/04/05, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9578\", \"logical_representation\": [\"2016/04/05\", \"biking\"], \"text_template_based\": \"I did biking on 2016/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/05?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9579\", \"logical_representation\": [\"2016/04/05\", \"lunch\", \"fish and chips\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9580\", \"logical_representation\": [\"2016/04/05\", \"Claire, Piper, Hazel\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Claire, Piper, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Hazel in the early afternoon on 2016/04/05?\", \"22 minutes\"], [\"who did I talk to on 2016/04/05?\", \"Claire, Piper, Hazel\"], [\"Did I talk to Claire, Piper, Hazel on 2016/04/05?\", \"yes\"], [\"Did I talk to anyone on 2016/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9581\", \"logical_representation\": [\"2016/04/05\", \"Piper, Rylee, Nora, Layla\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee, Nora, Layla for 27 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Nora, Layla in the late afternoon on 2016/04/05?\", \"27 minutes\"], [\"who did I talk to on 2016/04/05?\", \"Piper, Rylee, Nora, Layla\"], [\"Did I talk to Piper, Rylee, Nora, Layla on 2016/04/05?\", \"yes\"], [\"Did I talk to anyone on 2016/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/01\": {\"grocery\": {\"eid\": \"e9141\", \"logical_representation\": [\"2016/04/01\", \"I bought some pineapples, guava, bananas, milk, coffee, tea, facial wash online.\", \"pineapples, guava, bananas\", \"milk, coffee, tea\", \"facial wash\", \"Jackson, Avery\"], \"text_template_based\": \"I bought some pineapples, guava, bananas, milk, coffee, tea, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/04/01?\", \"pineapples, guava, bananas, milk, coffee, tea, and facial wash\"], [\"what fruits did I buy online on 2016/04/01?\", \"pineapples, guava, bananas\"], [\"what drinks did I buy online on 2016/04/01?\", \"milk, coffee, tea\"], [\"what toiletries did I buy online on 2016/04/01?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9557\", \"logical_representation\": [\"2016/04/01\", \"breakfast\", \"pancakes\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/04/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9558\", \"logical_representation\": [\"2016/04/01\", \"lunch\", \"sandwich\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Andrew, Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/04/01?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for lunch on 2016/04/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9559\", \"logical_representation\": [\"2016/04/01\", \"dinner\", \"sandwich\", \"Willow\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9560\", \"logical_representation\": [\"2016/04/01\", \"Eva\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early evening on 2016/04/01?\", \"28 minutes\"], [\"who did I talk to on 2016/04/01?\", \"Eva\"], [\"Did I talk to Eva on 2016/04/01?\", \"yes\"], [\"Did I talk to anyone on 2016/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9561\", \"logical_representation\": [\"2016/04/01\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/04/01?\", \"35 minutes\"], [\"what did I read on 2016/04/01?\", \"a book\"], [\"Did I read on 2016/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9562\", \"logical_representation\": [\"2016/04/01\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/01?\", \"35 minutes\"], [\"what did I watch on tv on 2016/04/01?\", \"a tv series\"], [\"Did I watch tv on 2016/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/11\": {\"hobbies\": {\"eid\": \"e9142\", \"logical_representation\": [\"2016/04/11\", \"I spent some time gardening on 2016/04/11.\", \"gardening\", \"Carter\"], \"text_template_based\": \"I spent some time gardening on 2016/04/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2016/04/11\"], [\"On 2016/04/11, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9599\", \"logical_representation\": [\"2016/04/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/04/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9600\", \"logical_representation\": [\"2016/04/11\", \"breakfast\", \"cereals\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/04/11\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9601\", \"logical_representation\": [\"2016/04/11\", \"lunch\", \"sandwich\", \"Eva, Nora, Avery, Nevaeh, Layla, Olivia, Piper, Piper, Rylee, Kinsley, Claire, Lydia\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9602\", \"logical_representation\": [\"2016/04/11\", \"dinner\", \"chinese food\", \"Layla, Claire, Kinsley, Avery, Piper, Nora\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9603\", \"logical_representation\": [\"2016/04/11\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/11?\", \"32 minutes\"], [\"what did I watch on tv on 2016/04/11?\", \"news\"], [\"Did I watch tv on 2016/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/01\": {\"bake\": {\"eid\": \"e9146\", \"logical_representation\": [\"2016/05/01\", \"I was baking easy peanut butter fudge, giant cinnamon roll on 2016/05/01 with Andrew, Kayden, Carter at my place\", \"bake\", \"easy peanut butter fudge, giant cinnamon roll\", \"Andrew, Kayden, Carter\", \"my place\"], \"text_template_based\": \"I was baking easy peanut butter fudge, giant cinnamon roll on 2016/05/01 with Andrew, Kayden, Carter at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  easy peanut butter fudge, giant cinnamon roll with Andrew, Kayden, Carter?\", \"2016/05/01\"], [\"what did I  on 2016/05/01?\", \"easy peanut butter fudge, giant cinnamon roll\"], [\"who was I with when I  easy peanut butter fudge, giant cinnamon roll on 2016/05/01?\", \"Andrew, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9675\", \"logical_representation\": [\"2016/05/01\", \"breakfast\", \"oatmeal\", \"Nora, Piper, Lydia, Nevaeh\"], \"text_template_based\": \"I had breakfast with Nora, Piper, Lydia, Nevaeh. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/05/01?\", \"Nora, Piper, Lydia, Nevaeh\"], [\"what did I eat for breakfast on 2016/05/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9676\", \"logical_representation\": [\"2016/05/01\", \"lunch\", \"chinese food\", \"Eva, Hazel, Piper, Claire, Avery, Piper, Nevaeh, Lydia\"], \"text_template_based\": \"I had chinese food for lunch with Eva, Hazel, Piper, Claire, Avery, Piper, Nevaeh, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/05/01?\", \"Eva, Hazel, Piper, Claire, Avery, Piper, Nevaeh, Lydia\"], [\"what did I eat for lunch on 2016/05/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9677\", \"logical_representation\": [\"2016/05/01\", \"dinner\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9678\", \"logical_representation\": [\"2016/05/01\", \"Nora\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2016/05/01?\", \"24 minutes\"], [\"who did I talk to on 2016/05/01?\", \"Nora\"], [\"Did I talk to Nora on 2016/05/01?\", \"yes\"], [\"Did I talk to anyone on 2016/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9679\", \"logical_representation\": [\"2016/05/01\", \"Piper, Eva\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Piper, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva in the early afternoon on 2016/05/01?\", \"47 minutes\"], [\"who did I talk to on 2016/05/01?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2016/05/01?\", \"yes\"], [\"Did I talk to anyone on 2016/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9680\", \"logical_representation\": [\"2016/05/01\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/05/01?\", \"22 minutes\"], [\"what did I read on 2016/05/01?\", \"news\"], [\"Did I read on 2016/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/29\": {\"dating\": {\"eid\": \"e9147\", \"logical_representation\": [\"2016/04/29\", \"Maya\", \"a boba shop\"], \"text_template_based\": \"On 2016/04/29, I took Maya on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/04/29\", \"Maya\"], [\"where did I go for the date on 2016/04/29\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9667\", \"logical_representation\": [\"2016/04/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/04/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9668\", \"logical_representation\": [\"2016/04/29\", \"lunch\", \"sandwich\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9669\", \"logical_representation\": [\"2016/04/29\", \"Eva, Nora, Nevaeh, Claire\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Eva, Nora, Nevaeh, Claire for 23 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Nevaeh, Claire in the late afternoon on 2016/04/29?\", \"23 minutes\"], [\"who did I talk to on 2016/04/29?\", \"Eva, Nora, Nevaeh, Claire\"], [\"Did I talk to Eva, Nora, Nevaeh, Claire on 2016/04/29?\", \"yes\"], [\"Did I talk to anyone on 2016/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/02\": {\"hobbies\": {\"eid\": \"e9148\", \"logical_representation\": [\"2016/05/02\", \"I really enjoyed gardening on 2016/05/02\", \"gardening\", \"Kayden, Carter\"], \"text_template_based\": \"I really enjoyed gardening on 2016/05/02\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2016/05/02\"], [\"On 2016/05/02, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9681\", \"logical_representation\": [\"2016/05/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/05/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9682\", \"logical_representation\": [\"2016/05/02\", \"dinner\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/05/02?\", \"Carter\"], [\"what did I eat for dinner on 2016/05/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9683\", \"logical_representation\": [\"2016/05/02\", \"a documentary\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/02?\", \"24 minutes\"], [\"what did I watch on tv on 2016/05/02?\", \"a documentary\"], [\"Did I watch tv on 2016/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/16\": {\"bake\": {\"eid\": \"e9150\", \"logical_representation\": [\"2016/05/16\", \"I really enjoyed baking fig tarte tatin on 2016/05/16 with Avery at my place\", \"bake\", \"fig tarte tatin\", \"Avery\", \"my place\"], \"text_template_based\": \"I really enjoyed baking fig tarte tatin on 2016/05/16 with Avery at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  fig tarte tatin with Avery?\", \"2016/05/16\"], [\"what did I  on 2016/05/16?\", \"fig tarte tatin\"], [\"who was I with when I  fig tarte tatin on 2016/05/16?\", \"Avery\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9735\", \"logical_representation\": [\"2016/05/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Eva, Rylee, Lydia, Piper, Nora, Avery, Claire, Layla, Kinsley, Nevaeh, Piper\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9736\", \"logical_representation\": [\"2016/05/16\", \"dinner\", \"sushi\", \"Willow, Benjamin\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9737\", \"logical_representation\": [\"2016/05/16\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I watched a tv series for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/16?\", \"40 minutes\"], [\"what did I watch on tv on 2016/05/16?\", \"a tv series\"], [\"Did I watch tv on 2016/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/19\": {\"grocery\": {\"eid\": \"e9151\", \"logical_representation\": [\"2016/05/19\", \"I went grocery shopping with Avery, Willow, Benjamin, Jackson. I bought some cherres, guava, bananas, apple juice, mineral water, and toothpaste, paper towel, toilet paper, toothbrush\", \"cherres, guava, bananas\", \"apple juice, mineral water\", \"toothpaste, paper towel, toilet paper, toothbrush\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I went grocery shopping with Avery, Willow, Benjamin, Jackson. I bought some cherres, guava, bananas, apple juice, mineral water, and toothpaste, paper towel, toilet paper, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/05/19?\", \"cherres, guava, bananas, apple juice, mineral water, and toothpaste, paper towel, toilet paper, toothbrush\"], [\"what fruits did I buy from the grocery store on 2016/05/19?\", \"cherres, guava, bananas\"], [\"what drinks did I buy from the grocery store on 2016/05/19?\", \"apple juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2016/05/19?\", \"toothpaste, paper towel, toilet paper, toothbrush\"], [\"who was with me at the grocery store on 2016/05/19?\", \"Avery, Willow, Benjamin, Jackson\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9748\", \"logical_representation\": [\"2016/05/19\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/05/19?\", \"46 minutes\"], [\"what did I read on 2016/05/19?\", \"a book\"], [\"Did I read on 2016/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9749\", \"logical_representation\": [\"2016/05/19\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I watched a movie for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/19?\", \"18 minutes\"], [\"what did I watch on tv on 2016/05/19?\", \"a movie\"], [\"Did I watch tv on 2016/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/20\": {\"dating\": {\"eid\": \"e9152\", \"logical_representation\": [\"2016/05/20\", \"Xavier\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Xavier on 2016/05/20 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/05/20\", \"Xavier\"], [\"where did I go for the date on 2016/05/20\", \"a boba shop\"]], \"multihop_qa_pairs\": []}}, \"2016/05/26\": {\"dating\": {\"eid\": \"e9153\", \"logical_representation\": [\"2016/05/26\", \"Jordan\", \"a coffee Shop\"], \"text_template_based\": \"On 2016/05/26, I took Jordan on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/05/26\", \"Jordan\"], [\"where did I go for the date on 2016/05/26\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9155\", \"logical_representation\": [\"2016/05/26\", \"I went grocery shopping. I bought some blackberries, guava, blueberries, mandarins, milk, and body lotion\", \"blackberries, guava, blueberries, mandarins\", \"milk\", \"body lotion\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some blackberries, guava, blueberries, mandarins, milk, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/05/26?\", \"blackberries, guava, blueberries, mandarins, milk, and body lotion\"], [\"what fruits did I buy from the grocery store on 2016/05/26?\", \"blackberries, guava, blueberries, mandarins\"], [\"what drinks did I buy from the grocery store on 2016/05/26?\", \"milk\"], [\"what toiletries did I buy from the grocery store on 2016/05/26?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9766\", \"logical_representation\": [\"2016/05/26\", \"lunch\", \"chinese food\", \"Hazel\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/05/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9767\", \"logical_representation\": [\"2016/05/26\", \"Rylee\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee late in the evening on 2016/05/26?\", \"18 minutes\"], [\"who did I talk to on 2016/05/26?\", \"Rylee\"], [\"Did I talk to Rylee on 2016/05/26?\", \"yes\"], [\"Did I talk to anyone on 2016/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9768\", \"logical_representation\": [\"2016/05/26\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/05/26?\", \"42 minutes\"], [\"what did I read on 2016/05/26?\", \"a book\"], [\"Did I read on 2016/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9769\", \"logical_representation\": [\"2016/05/26\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/26?\", \"21 minutes\"], [\"what did I watch on tv on 2016/05/26?\", \"news\"], [\"Did I watch tv on 2016/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/21\": {\"hobbies\": {\"eid\": \"e9154\", \"logical_representation\": [\"2016/05/21\", \"I spent time working out on 2016/05/21 with Kayden, Andrew, Emily.\", \"working out\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I spent time working out on 2016/05/21 with Kayden, Andrew, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Kayden, Andrew, Emily?\", \"2016/05/21\"], [\"On 2016/05/21, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2016/05/21?\", \"Kayden, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9750\", \"logical_representation\": [\"2016/05/21\", \"running\"], \"text_template_based\": \"I did running on 2016/05/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9751\", \"logical_representation\": [\"2016/05/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/05/21?\", \"Emily\"], [\"what did I eat for breakfast on 2016/05/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9752\", \"logical_representation\": [\"2016/05/21\", \"lunch\", \"steak\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had lunch with Avery, Benjamin, Willow, Jackson. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/05/21?\", \"Avery, Benjamin, Willow, Jackson\"], [\"what did I eat for lunch on 2016/05/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9753\", \"logical_representation\": [\"2016/05/21\", \"dinner\", \"pasta\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had pasta for dinner with Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/05/21?\", \"Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2016/05/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9754\", \"logical_representation\": [\"2016/05/21\", \"Rylee, Nora, Olivia, Hazel\", \"during lunch hours\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Rylee, Nora, Olivia, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Olivia, Hazel during lunch hours on 2016/05/21?\", \"32 minutes\"], [\"who did I talk to on 2016/05/21?\", \"Rylee, Nora, Olivia, Hazel\"], [\"Did I talk to Rylee, Nora, Olivia, Hazel on 2016/05/21?\", \"yes\"], [\"Did I talk to anyone on 2016/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9755\", \"logical_representation\": [\"2016/05/21\", \"a movie\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/21?\", \"51 minutes\"], [\"what did I watch on tv on 2016/05/21?\", \"a movie\"], [\"Did I watch tv on 2016/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/30\": {\"hobbies\": {\"eid\": \"e9156\", \"logical_representation\": [\"2016/05/30\", \"I spent time gardening on 2016/05/30 with Carter, Emily.\", \"gardening\", \"Carter, Emily\"], \"text_template_based\": \"I spent time gardening on 2016/05/30 with Carter, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Carter, Emily?\", \"2016/05/30\"], [\"On 2016/05/30, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2016/05/30?\", \"Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9780\", \"logical_representation\": [\"2016/05/30\", \"biking\"], \"text_template_based\": \"I did biking on 2016/05/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9781\", \"logical_representation\": [\"2016/05/30\", \"breakfast\", \"oatmeal\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Emily, Kayden. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/05/30?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2016/05/30\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9782\", \"logical_representation\": [\"2016/05/30\", \"lunch\", \"fish and chips\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/05/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9783\", \"logical_representation\": [\"2016/05/30\", \"Hazel, Avery, Lydia\", \"in the early evening\", \"44 minutes\"], \"text_template_based\": \"I talked to Hazel, Avery, Lydia for 44 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Lydia in the early evening on 2016/05/30?\", \"44 minutes\"], [\"who did I talk to on 2016/05/30?\", \"Hazel, Avery, Lydia\"], [\"Did I talk to Hazel, Avery, Lydia on 2016/05/30?\", \"yes\"], [\"Did I talk to anyone on 2016/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/27\": {\"grocery\": {\"eid\": \"e9157\", \"logical_representation\": [\"2016/05/27\", \"I bought some nectarines, pears, guava, mineral water, chocolate milk, conditioner, toilet paper, facial wash, shaving cream from the grocery store. I saw Willow, Benjamin at the grocery store.\", \"nectarines, pears, guava\", \"mineral water, chocolate milk\", \"conditioner, toilet paper, facial wash, shaving cream\", \"Willow, Benjamin\"], \"text_template_based\": \"I bought some nectarines, pears, guava, mineral water, chocolate milk, conditioner, toilet paper, facial wash, shaving cream from the grocery store. I saw Willow, Benjamin at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/05/27?\", \"nectarines, pears, guava, mineral water, chocolate milk, and conditioner, toilet paper, facial wash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2016/05/27?\", \"nectarines, pears, guava\"], [\"what drinks did I buy from the grocery store on 2016/05/27?\", \"mineral water, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2016/05/27?\", \"conditioner, toilet paper, facial wash, shaving cream\"], [\"who did I see at the grocery store on 2016/05/27?\", \"Willow, Benjamin\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9770\", \"logical_representation\": [\"2016/05/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Kinsley, Avery, Nevaeh, Claire, Lydia, Piper, Olivia, Rylee, Nora, Piper, Layla, Hazel\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Eva, Kinsley, Avery, Nevaeh, Claire, Lydia, Piper, Olivia, Rylee, Nora, Piper, Layla, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/05/27?\", \"Eva, Kinsley, Avery, Nevaeh, Claire, Lydia, Piper, Olivia, Rylee, Nora, Piper, Layla, Hazel\"], [\"what did I eat for breakfast on 2016/05/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9771\", \"logical_representation\": [\"2016/05/27\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I watched a tv series for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/27?\", \"12 minutes\"], [\"what did I watch on tv on 2016/05/27?\", \"a tv series\"], [\"Did I watch tv on 2016/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/01\": {\"grocery\": {\"eid\": \"e9158\", \"logical_representation\": [\"2016/06/01\", \"I bought some bananas, cherres, oranges, blackberries, mineral water, milk, orange juice, tea, toothbrush online.\", \"bananas, cherres, oranges, blackberries\", \"mineral water, milk, orange juice, tea\", \"toothbrush\", \"Emily\"], \"text_template_based\": \"I bought some bananas, cherres, oranges, blackberries, mineral water, milk, orange juice, tea, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/06/01?\", \"bananas, cherres, oranges, blackberries, mineral water, milk, orange juice, tea, and toothbrush\"], [\"what fruits did I buy online on 2016/06/01?\", \"bananas, cherres, oranges, blackberries\"], [\"what drinks did I buy online on 2016/06/01?\", \"mineral water, milk, orange juice, tea\"], [\"what toiletries did I buy online on 2016/06/01?\", \"toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9786\", \"logical_representation\": [\"2016/06/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/06/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9787\", \"logical_representation\": [\"2016/06/01\", \"dinner\", \"pasta\", \"Kinsley, Avery, Claire, Piper, Rylee, Nora, Lydia, Nevaeh, Eva, Layla\"], \"text_template_based\": \"I had dinner with Kinsley, Avery, Claire, Piper, Rylee, Nora, Lydia, Nevaeh, Eva, Layla. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/06/01?\", \"Kinsley, Avery, Claire, Piper, Rylee, Nora, Lydia, Nevaeh, Eva, Layla\"], [\"what did I eat for dinner on 2016/06/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9788\", \"logical_representation\": [\"2016/06/01\", \"Nora, Claire, Eva\", \"in the late afternoon\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Nora, Claire, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Eva in the late afternoon on 2016/06/01?\", \"31 minutes\"], [\"who did I talk to on 2016/06/01?\", \"Nora, Claire, Eva\"], [\"Did I talk to Nora, Claire, Eva on 2016/06/01?\", \"yes\"], [\"Did I talk to anyone on 2016/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9789\", \"logical_representation\": [\"2016/06/01\", \"Nora\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Nora for 5 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2016/06/01?\", \"5 minutes\"], [\"who did I talk to on 2016/06/01?\", \"Nora\"], [\"Did I talk to Nora on 2016/06/01?\", \"yes\"], [\"Did I talk to anyone on 2016/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9790\", \"logical_representation\": [\"2016/06/01\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/06/01?\", \"46 minutes\"], [\"what did I read on 2016/06/01?\", \"social media\"], [\"Did I read on 2016/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9791\", \"logical_representation\": [\"2016/06/01\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I watched a tv series for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/01?\", \"27 minutes\"], [\"what did I watch on tv on 2016/06/01?\", \"a tv series\"], [\"Did I watch tv on 2016/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/04\": {\"dating\": {\"eid\": \"e9159\", \"logical_representation\": [\"2016/06/04\", \"Aaron\", \"a park\"], \"text_template_based\": \"I went on a date with Aaron on 2016/06/04 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/06/04\", \"Aaron\"], [\"where did I go for the date on 2016/06/04\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9800\", \"logical_representation\": [\"2016/06/04\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/06/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/04?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9801\", \"logical_representation\": [\"2016/06/04\", \"dinner\", \"indian food\", \"Lydia, Kinsley, Hazel, Eva, Olivia, Piper, Piper\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/06/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9802\", \"logical_representation\": [\"2016/06/04\", \"Hazel\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2016/06/04?\", \"33 minutes\"], [\"who did I talk to on 2016/06/04?\", \"Hazel\"], [\"Did I talk to Hazel on 2016/06/04?\", \"yes\"], [\"Did I talk to anyone on 2016/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/07\": {\"hobbies\": {\"eid\": \"e9160\", \"logical_representation\": [\"2016/06/07\", \"I really enjoyed working out on 2016/06/07\", \"working out\", \"Andrew\"], \"text_template_based\": \"I really enjoyed working out on 2016/06/07\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2016/06/07\"], [\"On 2016/06/07, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9810\", \"logical_representation\": [\"2016/06/07\", \"breakfast\", \"oatmeal\", \"Nora, Piper, Layla, Claire, Piper, Rylee, Hazel, Avery, Kinsley\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/06/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9811\", \"logical_representation\": [\"2016/06/07\", \"lunch\", \"a burger\", \"Avery, Layla, Olivia, Piper, Piper, Nora, Kinsley, Nevaeh, Rylee, Claire, Lydia, Eva\"], \"text_template_based\": \"I had a burger for lunch with Avery, Layla, Olivia, Piper, Piper, Nora, Kinsley, Nevaeh, Rylee, Claire, Lydia, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/06/07?\", \"Avery, Layla, Olivia, Piper, Piper, Nora, Kinsley, Nevaeh, Rylee, Claire, Lydia, Eva\"], [\"what did I eat for lunch on 2016/06/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9812\", \"logical_representation\": [\"2016/06/07\", \"a movie\", \"16 minutes\"], \"text_template_based\": \"I watched a movie for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/07?\", \"16 minutes\"], [\"what did I watch on tv on 2016/06/07?\", \"a movie\"], [\"Did I watch tv on 2016/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/14\": {\"dating\": {\"eid\": \"e9161\", \"logical_representation\": [\"2016/06/14\", \"Leilani\", \"a restaurant\"], \"text_template_based\": \"On 2016/06/14, I took Leilani on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/06/14\", \"Leilani\"], [\"where did I go for the date on 2016/06/14\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9834\", \"logical_representation\": [\"2016/06/14\", \"lunch\", \"steak\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Carter, Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/06/14?\", \"Andrew, Carter, Emily\"], [\"what did I eat for lunch on 2016/06/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9835\", \"logical_representation\": [\"2016/06/14\", \"dinner\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/06/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9836\", \"logical_representation\": [\"2016/06/14\", \"Hazel, Claire\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I talked to Hazel, Claire for 48 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire in the morning on 2016/06/14?\", \"48 minutes\"], [\"who did I talk to on 2016/06/14?\", \"Hazel, Claire\"], [\"Did I talk to Hazel, Claire on 2016/06/14?\", \"yes\"], [\"Did I talk to anyone on 2016/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9837\", \"logical_representation\": [\"2016/06/14\", \"Layla, Eva, Nevaeh, Piper\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Layla, Eva, Nevaeh, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Nevaeh, Piper in the morning on 2016/06/14?\", \"49 minutes\"], [\"who did I talk to on 2016/06/14?\", \"Layla, Eva, Nevaeh, Piper\"], [\"Did I talk to Layla, Eva, Nevaeh, Piper on 2016/06/14?\", \"yes\"], [\"Did I talk to anyone on 2016/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/20\": {\"dating\": {\"eid\": \"e9162\", \"logical_representation\": [\"2016/06/20\", \"Camila\", \"a coffee Shop\"], \"text_template_based\": \"On 2016/06/20, I took Camila on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/06/20\", \"Camila\"], [\"where did I go for the date on 2016/06/20\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9856\", \"logical_representation\": [\"2016/06/20\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/06/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/20?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9857\", \"logical_representation\": [\"2016/06/20\", \"breakfast\", \"pancakes\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/06/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9858\", \"logical_representation\": [\"2016/06/20\", \"dinner\", \"steak\", \"Carter, Kayden\"], \"text_template_based\": \"I had steak for dinner with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/06/20?\", \"Carter, Kayden\"], [\"what did I eat for dinner on 2016/06/20\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9859\", \"logical_representation\": [\"2016/06/20\", \"Eva, Nora, Piper, Avery\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Eva, Nora, Piper, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Piper, Avery in the early evening on 2016/06/20?\", \"25 minutes\"], [\"who did I talk to on 2016/06/20?\", \"Eva, Nora, Piper, Avery\"], [\"Did I talk to Eva, Nora, Piper, Avery on 2016/06/20?\", \"yes\"], [\"Did I talk to anyone on 2016/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9860\", \"logical_representation\": [\"2016/06/20\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/06/20?\", \"41 minutes\"], [\"what did I read on 2016/06/20?\", \"a book\"], [\"Did I read on 2016/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/21\": {\"grocery\": {\"eid\": \"e9163\", \"logical_representation\": [\"2016/06/21\", \"I bought some nectarines, pears, raspberries, apricots, mineral water, mango juice, orange juice, soda, body lotion, mouth wash online.\", \"nectarines, pears, raspberries, apricots\", \"mineral water, mango juice, orange juice, soda\", \"body lotion, mouth wash\", \"Avery\"], \"text_template_based\": \"I bought some nectarines, pears, raspberries, apricots, mineral water, mango juice, orange juice, soda, body lotion, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/06/21?\", \"nectarines, pears, raspberries, apricots, mineral water, mango juice, orange juice, soda, and body lotion, mouth wash\"], [\"what fruits did I buy online on 2016/06/21?\", \"nectarines, pears, raspberries, apricots\"], [\"what drinks did I buy online on 2016/06/21?\", \"mineral water, mango juice, orange juice, soda\"], [\"what toiletries did I buy online on 2016/06/21?\", \"body lotion, mouth wash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9861\", \"logical_representation\": [\"2016/06/21\", \"lunch\", \"a burger\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Carter, Andrew. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/06/21?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2016/06/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9862\", \"logical_representation\": [\"2016/06/21\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/21?\", \"23 minutes\"], [\"what did I watch on tv on 2016/06/21?\", \"a documentary\"], [\"Did I watch tv on 2016/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/29\": {\"cook\": {\"eid\": \"e9164\", \"logical_representation\": [\"2016/06/29\", \"I entertained Emily, Carter, Andrew at my place on 2016/06/29 and cook chinese chicken wings, healthy turkey chili\", \"cook\", \"chinese chicken wings, healthy turkey chili\", \"Emily, Carter, Andrew\", \"my place\"], \"text_template_based\": \"I entertained Emily, Carter, Andrew at my place on 2016/06/29 and cook chinese chicken wings, healthy turkey chili\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook chinese chicken wings, healthy turkey chili with Emily, Carter, Andrew?\", \"2016/06/29\"], [\"what did I cook on 2016/06/29?\", \"chinese chicken wings, healthy turkey chili\"], [\"who was I with when I  chinese chicken wings, healthy turkey chili on 2016/06/29?\", \"Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9889\", \"logical_representation\": [\"2016/06/29\", \"lunch\", \"sushi\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/29\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9890\", \"logical_representation\": [\"2016/06/29\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had tacos for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/06/29?\", \"Kayden\"], [\"what did I eat for dinner on 2016/06/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9891\", \"logical_representation\": [\"2016/06/29\", \"Piper, Layla, Avery, Kinsley\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Avery, Kinsley for 18 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Avery, Kinsley during lunch hours on 2016/06/29?\", \"18 minutes\"], [\"who did I talk to on 2016/06/29?\", \"Piper, Layla, Avery, Kinsley\"], [\"Did I talk to Piper, Layla, Avery, Kinsley on 2016/06/29?\", \"yes\"], [\"Did I talk to anyone on 2016/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9892\", \"logical_representation\": [\"2016/06/29\", \"Claire, Olivia, Piper\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Claire, Olivia, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Piper during lunch hours on 2016/06/29?\", \"23 minutes\"], [\"who did I talk to on 2016/06/29?\", \"Claire, Olivia, Piper\"], [\"Did I talk to Claire, Olivia, Piper on 2016/06/29?\", \"yes\"], [\"Did I talk to anyone on 2016/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9893\", \"logical_representation\": [\"2016/06/29\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/29?\", \"21 minutes\"], [\"what did I watch on tv on 2016/06/29?\", \"a movie\"], [\"Did I watch tv on 2016/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/24\": {\"dating\": {\"eid\": \"e9165\", \"logical_representation\": [\"2016/06/24\", \"Jordan\", \"a boba shop\"], \"text_template_based\": \"On 2016/06/24, I took Jordan on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/06/24\", \"Jordan\"], [\"where did I go for the date on 2016/06/24\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9870\", \"logical_representation\": [\"2016/06/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/06/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9871\", \"logical_representation\": [\"2016/06/24\", \"Hazel\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Hazel for 16 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2016/06/24?\", \"16 minutes\"], [\"who did I talk to on 2016/06/24?\", \"Hazel\"], [\"Did I talk to Hazel on 2016/06/24?\", \"yes\"], [\"Did I talk to anyone on 2016/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/28\": {\"dating\": {\"eid\": \"e9166\", \"logical_representation\": [\"2016/06/28\", \"Scarlett\", \"a coffee Shop\"], \"text_template_based\": \"On 2016/06/28, I took Scarlett on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/06/28\", \"Scarlett\"], [\"where did I go for the date on 2016/06/28\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9168\", \"logical_representation\": [\"2016/06/28\", \"I bought some pineapples, mangos, oranges, mandarins, mango juice, mineral water, toilet paper, body lotion, toothpaste online.\", \"pineapples, mangos, oranges, mandarins\", \"mango juice, mineral water\", \"toilet paper, body lotion, toothpaste\", \"Benjamin\"], \"text_template_based\": \"I bought some pineapples, mangos, oranges, mandarins, mango juice, mineral water, toilet paper, body lotion, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/06/28?\", \"pineapples, mangos, oranges, mandarins, mango juice, mineral water, and toilet paper, body lotion, toothpaste\"], [\"what fruits did I buy online on 2016/06/28?\", \"pineapples, mangos, oranges, mandarins\"], [\"what drinks did I buy online on 2016/06/28?\", \"mango juice, mineral water\"], [\"what toiletries did I buy online on 2016/06/28?\", \"toilet paper, body lotion, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9885\", \"logical_representation\": [\"2016/06/28\", \"biking\"], \"text_template_based\": \"I did biking on 2016/06/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9886\", \"logical_representation\": [\"2016/06/28\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had a burger for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/06/28?\", \"Emily\"], [\"what did I eat for lunch on 2016/06/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9887\", \"logical_representation\": [\"2016/06/28\", \"dinner\", \"steak\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/06/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9888\", \"logical_representation\": [\"2016/06/28\", \"a tv series\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/28?\", \"46 minutes\"], [\"what did I watch on tv on 2016/06/28?\", \"a tv series\"], [\"Did I watch tv on 2016/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/27\": {\"hobbies\": {\"eid\": \"e9167\", \"logical_representation\": [\"2016/06/27\", \"I spent some time meditation on 2016/06/27.\", \"meditation\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I spent some time meditation on 2016/06/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2016/06/27\"], [\"On 2016/06/27, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9881\", \"logical_representation\": [\"2016/06/27\", \"lunch\", \"sandwich\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9882\", \"logical_representation\": [\"2016/06/27\", \"dinner\", \"steak\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had dinner with Carter, Kayden, Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/06/27?\", \"Carter, Kayden, Emily\"], [\"what did I eat for dinner on 2016/06/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9883\", \"logical_representation\": [\"2016/06/27\", \"Lydia, Piper\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper late in the evening on 2016/06/27?\", \"37 minutes\"], [\"who did I talk to on 2016/06/27?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2016/06/27?\", \"yes\"], [\"Did I talk to anyone on 2016/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9884\", \"logical_representation\": [\"2016/06/27\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/06/27?\", \"49 minutes\"], [\"what did I read on 2016/06/27?\", \"social media\"], [\"Did I read on 2016/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/06\": {\"dating\": {\"eid\": \"e9169\", \"logical_representation\": [\"2016/07/06\", \"Ian\", \"a boba shop\"], \"text_template_based\": \"On 2016/07/06, I took Ian on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/07/06\", \"Ian\"], [\"where did I go for the date on 2016/07/06\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e9170\", \"logical_representation\": [\"2016/07/06\", \"I really enjoyed learning a language on 2016/07/06\", \"learning a language\", \"Piper\"], \"text_template_based\": \"I really enjoyed learning a language on 2016/07/06\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2016/07/06\"], [\"On 2016/07/06, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9171\", \"logical_representation\": [\"2016/07/06\", \"I bought some clementines, orange juice, chocolate milk, mango juice, apple juice, toothpaste from the grocery store. I saw Andrew, Carter at the grocery store.\", \"clementines\", \"orange juice, chocolate milk, mango juice, apple juice\", \"toothpaste\", \"Andrew, Carter\"], \"text_template_based\": \"I bought some clementines, orange juice, chocolate milk, mango juice, apple juice, toothpaste from the grocery store. I saw Andrew, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/07/06?\", \"clementines, orange juice, chocolate milk, mango juice, apple juice, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2016/07/06?\", \"clementines\"], [\"what drinks did I buy from the grocery store on 2016/07/06?\", \"orange juice, chocolate milk, mango juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2016/07/06?\", \"toothpaste\"], [\"who did I see at the grocery store on 2016/07/06?\", \"Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9913\", \"logical_representation\": [\"2016/07/06\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/07/06?\", \"Kayden\"], [\"what did I eat for breakfast on 2016/07/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9914\", \"logical_representation\": [\"2016/07/06\", \"lunch\", \"fish and chips\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/07/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9915\", \"logical_representation\": [\"2016/07/06\", \"dinner\", \"a burger\", \"Emily, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Andrew. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/06?\", \"Emily, Andrew\"], [\"what did I eat for dinner on 2016/07/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9916\", \"logical_representation\": [\"2016/07/06\", \"Piper\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2016/07/06?\", \"40 minutes\"], [\"who did I talk to on 2016/07/06?\", \"Piper\"], [\"Did I talk to Piper on 2016/07/06?\", \"yes\"], [\"Did I talk to anyone on 2016/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9917\", \"logical_representation\": [\"2016/07/06\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/06?\", \"5 minutes\"], [\"what did I watch on tv on 2016/07/06?\", \"a tv series\"], [\"Did I watch tv on 2016/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/09\": {\"bake\": {\"eid\": \"e9172\", \"logical_representation\": [\"2016/07/09\", \"I was baking brownies, birthday cupcakes with white wine buttercream on 2016/07/09 with Hazel, Layla at my place\", \"bake\", \"brownies, birthday cupcakes with white wine buttercream\", \"Hazel, Layla\", \"my place\"], \"text_template_based\": \"I was baking brownies, birthday cupcakes with white wine buttercream on 2016/07/09 with Hazel, Layla at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  brownies, birthday cupcakes with white wine buttercream with Hazel, Layla?\", \"2016/07/09\"], [\"what did I  on 2016/07/09?\", \"brownies, birthday cupcakes with white wine buttercream\"], [\"who was I with when I  brownies, birthday cupcakes with white wine buttercream on 2016/07/09?\", \"Hazel, Layla\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9926\", \"logical_representation\": [\"2016/07/09\", \"lunch\", \"sandwich\", \"Carter, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/07/09?\", \"Carter, Andrew\"], [\"what did I eat for lunch on 2016/07/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9927\", \"logical_representation\": [\"2016/07/09\", \"dinner\", \"tacos\", \"Emily, Carter\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/07/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9928\", \"logical_representation\": [\"2016/07/09\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/07/09?\", \"52 minutes\"], [\"what did I read on 2016/07/09?\", \"social media\"], [\"Did I read on 2016/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9929\", \"logical_representation\": [\"2016/07/09\", \"a documentary\", \"49 minutes\"], \"text_template_based\": \"I watched a documentary for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/09?\", \"49 minutes\"], [\"what did I watch on tv on 2016/07/09?\", \"a documentary\"], [\"Did I watch tv on 2016/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/11\": {\"bake\": {\"eid\": \"e9173\", \"logical_representation\": [\"2016/07/11\", \"I really enjoyed baking easy cherry skillet cake on 2016/07/11 with Olivia, Piper, Avery at my place\", \"bake\", \"easy cherry skillet cake\", \"Olivia, Piper, Avery\", \"my place\"], \"text_template_based\": \"I really enjoyed baking easy cherry skillet cake on 2016/07/11 with Olivia, Piper, Avery at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  easy cherry skillet cake with Olivia, Piper, Avery?\", \"2016/07/11\"], [\"what did I  on 2016/07/11?\", \"easy cherry skillet cake\"], [\"who was I with when I  easy cherry skillet cake on 2016/07/11?\", \"Olivia, Piper, Avery\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e9174\", \"logical_representation\": [\"2016/07/11\", \"Naomi\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Naomi on 2016/07/11 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/07/11\", \"Naomi\"], [\"where did I go for the date on 2016/07/11\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9934\", \"logical_representation\": [\"2016/07/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/07/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9935\", \"logical_representation\": [\"2016/07/11\", \"lunch\", \"steak\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Carter, Andrew. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/07/11?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2016/07/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9936\", \"logical_representation\": [\"2016/07/11\", \"dinner\", \"a burger\", \"Avery, Layla, Piper, Lydia, Olivia\"], \"text_template_based\": \"I had dinner with Avery, Layla, Piper, Lydia, Olivia. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/11?\", \"Avery, Layla, Piper, Lydia, Olivia\"], [\"what did I eat for dinner on 2016/07/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9937\", \"logical_representation\": [\"2016/07/11\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/07/11?\", \"35 minutes\"], [\"what did I read on 2016/07/11?\", \"a book\"], [\"Did I read on 2016/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/10\": {\"hobbies\": {\"eid\": \"e9175\", \"logical_representation\": [\"2016/07/10\", \"I spent some time gardening on 2016/07/10.\", \"gardening\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I spent some time gardening on 2016/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2016/07/10\"], [\"On 2016/07/10, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9930\", \"logical_representation\": [\"2016/07/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9931\", \"logical_representation\": [\"2016/07/10\", \"breakfast\", \"oatmeal\", \"Willow\"], \"text_template_based\": \"I had oatmeal for breakfast with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/07/10?\", \"Willow\"], [\"what did I eat for breakfast on 2016/07/10\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9932\", \"logical_representation\": [\"2016/07/10\", \"dinner\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/10?\", \"Kayden\"], [\"what did I eat for dinner on 2016/07/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9933\", \"logical_representation\": [\"2016/07/10\", \"Nevaeh, Nora, Olivia\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Nora, Olivia for 47 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Olivia in the late afternoon on 2016/07/10?\", \"47 minutes\"], [\"who did I talk to on 2016/07/10?\", \"Nevaeh, Nora, Olivia\"], [\"Did I talk to Nevaeh, Nora, Olivia on 2016/07/10?\", \"yes\"], [\"Did I talk to anyone on 2016/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/14\": {\"grocery\": {\"eid\": \"e9176\", \"logical_representation\": [\"2016/07/14\", \"I went grocery shopping. I bought some strawberries, sports drinks, coffee, and paper towel, toothbrush\", \"strawberries\", \"sports drinks, coffee\", \"paper towel, toothbrush\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some strawberries, sports drinks, coffee, and paper towel, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/07/14?\", \"strawberries, sports drinks, coffee, and paper towel, toothbrush\"], [\"what fruits did I buy from the grocery store on 2016/07/14?\", \"strawberries\"], [\"what drinks did I buy from the grocery store on 2016/07/14?\", \"sports drinks, coffee\"], [\"what toiletries did I buy from the grocery store on 2016/07/14?\", \"paper towel, toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9946\", \"logical_representation\": [\"2016/07/14\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/07/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/14?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9947\", \"logical_representation\": [\"2016/07/14\", \"breakfast\", \"peanut-butter-jam\", \"Jackson\"], \"text_template_based\": \"I had breakfast with Jackson. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/07/14?\", \"Jackson\"], [\"what did I eat for breakfast on 2016/07/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9948\", \"logical_representation\": [\"2016/07/14\", \"dinner\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/14?\", \"Kayden\"], [\"what did I eat for dinner on 2016/07/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9949\", \"logical_representation\": [\"2016/07/14\", \"Eva, Rylee\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Eva, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee in the morning on 2016/07/14?\", \"6 minutes\"], [\"who did I talk to on 2016/07/14?\", \"Eva, Rylee\"], [\"Did I talk to Eva, Rylee on 2016/07/14?\", \"yes\"], [\"Did I talk to anyone on 2016/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9950\", \"logical_representation\": [\"2016/07/14\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/14?\", \"31 minutes\"], [\"what did I watch on tv on 2016/07/14?\", \"news\"], [\"Did I watch tv on 2016/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/15\": {\"grocery\": {\"eid\": \"e9177\", \"logical_representation\": [\"2016/07/15\", \"I bought some blueberries, apples, raspberries, mandarins, milk, conditioner, mouth wash, shaving cream, shampoo from the grocery store. I saw Andrew, Emily, Kayden at the grocery store.\", \"blueberries, apples, raspberries, mandarins\", \"milk\", \"conditioner, mouth wash, shaving cream, shampoo\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I bought some blueberries, apples, raspberries, mandarins, milk, conditioner, mouth wash, shaving cream, shampoo from the grocery store. I saw Andrew, Emily, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/07/15?\", \"blueberries, apples, raspberries, mandarins, milk, and conditioner, mouth wash, shaving cream, shampoo\"], [\"what fruits did I buy from the grocery store on 2016/07/15?\", \"blueberries, apples, raspberries, mandarins\"], [\"what drinks did I buy from the grocery store on 2016/07/15?\", \"milk\"], [\"what toiletries did I buy from the grocery store on 2016/07/15?\", \"conditioner, mouth wash, shaving cream, shampoo\"], [\"who did I see at the grocery store on 2016/07/15?\", \"Andrew, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9951\", \"logical_representation\": [\"2016/07/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/07/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9952\", \"logical_representation\": [\"2016/07/15\", \"Layla, Nevaeh, Lydia\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Layla, Nevaeh, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Lydia during lunch hours on 2016/07/15?\", \"37 minutes\"], [\"who did I talk to on 2016/07/15?\", \"Layla, Nevaeh, Lydia\"], [\"Did I talk to Layla, Nevaeh, Lydia on 2016/07/15?\", \"yes\"], [\"Did I talk to anyone on 2016/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9953\", \"logical_representation\": [\"2016/07/15\", \"a book\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/07/15?\", \"21 minutes\"], [\"what did I read on 2016/07/15?\", \"a book\"], [\"Did I read on 2016/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/19\": {\"grocery\": {\"eid\": \"e9178\", \"logical_representation\": [\"2016/07/19\", \"I bought some peaches, blueberries, apples, raspberries, orange juice, apple juice, shaving cream, paper towel, toothpaste, toilet paper online.\", \"peaches, blueberries, apples, raspberries\", \"orange juice, apple juice\", \"shaving cream, paper towel, toothpaste, toilet paper\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I bought some peaches, blueberries, apples, raspberries, orange juice, apple juice, shaving cream, paper towel, toothpaste, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/07/19?\", \"peaches, blueberries, apples, raspberries, orange juice, apple juice, and shaving cream, paper towel, toothpaste, toilet paper\"], [\"what fruits did I buy online on 2016/07/19?\", \"peaches, blueberries, apples, raspberries\"], [\"what drinks did I buy online on 2016/07/19?\", \"orange juice, apple juice\"], [\"what toiletries did I buy online on 2016/07/19?\", \"shaving cream, paper towel, toothpaste, toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9969\", \"logical_representation\": [\"2016/07/19\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/07/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/19?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9970\", \"logical_representation\": [\"2016/07/19\", \"dinner\", \"a burger\", \"Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/07/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9971\", \"logical_representation\": [\"2016/07/19\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I watched a tv series for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/19?\", \"7 minutes\"], [\"what did I watch on tv on 2016/07/19?\", \"a tv series\"], [\"Did I watch tv on 2016/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/24\": {\"cook\": {\"eid\": \"e9179\", \"logical_representation\": [\"2016/07/24\", \"I entertained Piper, Nora, Rylee, Olivia at my place on 2016/07/24 and cook crockpot spareribs, cheesy ham chowder, instant pot whole chicken\", \"cook\", \"crockpot spareribs, cheesy ham chowder, instant pot whole chicken\", \"Piper, Nora, Rylee, Olivia\", \"my place\"], \"text_template_based\": \"I entertained Piper, Nora, Rylee, Olivia at my place on 2016/07/24 and cook crockpot spareribs, cheesy ham chowder, instant pot whole chicken\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook crockpot spareribs, cheesy ham chowder, instant pot whole chicken with Piper, Nora, Rylee, Olivia?\", \"2016/07/24\"], [\"what did I cook on 2016/07/24?\", \"crockpot spareribs, cheesy ham chowder, instant pot whole chicken\"], [\"who was I with when I  crockpot spareribs, cheesy ham chowder, instant pot whole chicken on 2016/07/24?\", \"Piper, Nora, Rylee, Olivia\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e9180\", \"logical_representation\": [\"2016/07/24\", \"Elena\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Elena on 2016/07/24 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/07/24\", \"Elena\"], [\"where did I go for the date on 2016/07/24\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9990\", \"logical_representation\": [\"2016/07/24\", \"breakfast\", \"oatmeal\", \"Avery, Willow\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9991\", \"logical_representation\": [\"2016/07/24\", \"Claire, Piper\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Claire, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper in the morning on 2016/07/24?\", \"51 minutes\"], [\"who did I talk to on 2016/07/24?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2016/07/24?\", \"yes\"], [\"Did I talk to anyone on 2016/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9992\", \"logical_representation\": [\"2016/07/24\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I watched a tv series for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/24?\", \"7 minutes\"], [\"what did I watch on tv on 2016/07/24?\", \"a tv series\"], [\"Did I watch tv on 2016/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/23\": {\"hobbies\": {\"eid\": \"e9181\", \"logical_representation\": [\"2016/07/23\", \"I spent some time gardening on 2016/07/23.\", \"gardening\", \"Kayden\"], \"text_template_based\": \"I spent some time gardening on 2016/07/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2016/07/23\"], [\"On 2016/07/23, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9182\", \"logical_representation\": [\"2016/07/23\", \"I bought some raspberries, peaches, watermelons, coffee, mouth wash online.\", \"raspberries, peaches, watermelons\", \"coffee\", \"mouth wash\", \"Carter, Kayden\"], \"text_template_based\": \"I bought some raspberries, peaches, watermelons, coffee, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/07/23?\", \"raspberries, peaches, watermelons, coffee, and mouth wash\"], [\"what fruits did I buy online on 2016/07/23?\", \"raspberries, peaches, watermelons\"], [\"what drinks did I buy online on 2016/07/23?\", \"coffee\"], [\"what toiletries did I buy online on 2016/07/23?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e9985\", \"logical_representation\": [\"2016/07/23\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/07/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/23?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9986\", \"logical_representation\": [\"2016/07/23\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/23\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9987\", \"logical_representation\": [\"2016/07/23\", \"dinner\", \"pasta\", \"Emily\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/07/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9988\", \"logical_representation\": [\"2016/07/23\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/07/23?\", \"10 minutes\"], [\"what did I read on 2016/07/23?\", \"a book\"], [\"Did I read on 2016/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9989\", \"logical_representation\": [\"2016/07/23\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/23?\", \"14 minutes\"], [\"what did I watch on tv on 2016/07/23?\", \"a movie\"], [\"Did I watch tv on 2016/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/28\": {\"grocery\": {\"eid\": \"e9183\", \"logical_representation\": [\"2016/07/28\", \"I went grocery shopping with Nevaeh, Eva, Kinsley, Hazel, Nora, Claire, Rylee, Olivia, Lydia, Layla, Piper. I bought some apples, pineapple juice, milk, chocolate milk, mango juice, and facial wash\", \"apples\", \"pineapple juice, milk, chocolate milk, mango juice\", \"facial wash\", \"Nevaeh, Eva, Kinsley, Hazel, Nora, Claire, Rylee, Olivia, Lydia, Layla, Piper\"], \"text_template_based\": \"I went grocery shopping with Nevaeh, Eva, Kinsley, Hazel, Nora, Claire, Rylee, Olivia, Lydia, Layla, Piper. I bought some apples, pineapple juice, milk, chocolate milk, mango juice, and facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/07/28?\", \"apples, pineapple juice, milk, chocolate milk, mango juice, and facial wash\"], [\"what fruits did I buy from the grocery store on 2016/07/28?\", \"apples\"], [\"what drinks did I buy from the grocery store on 2016/07/28?\", \"pineapple juice, milk, chocolate milk, mango juice\"], [\"what toiletries did I buy from the grocery store on 2016/07/28?\", \"facial wash\"], [\"who was with me at the grocery store on 2016/07/28?\", \"Nevaeh, Eva, Kinsley, Hazel, Nora, Claire, Rylee, Olivia, Lydia, Layla, Piper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10001\", \"logical_representation\": [\"2016/07/28\", \"breakfast\", \"pancakes\", \"Willow, Jackson\"], \"text_template_based\": \"I had pancakes for breakfast with Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/07/28?\", \"Willow, Jackson\"], [\"what did I eat for breakfast on 2016/07/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10002\", \"logical_representation\": [\"2016/07/28\", \"lunch\", \"sandwich\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Carter, Kayden, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/07/28?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2016/07/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10003\", \"logical_representation\": [\"2016/07/28\", \"dinner\", \"indian food\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Emily, Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/28?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for dinner on 2016/07/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10004\", \"logical_representation\": [\"2016/07/28\", \"Layla, Lydia, Kinsley\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Layla, Lydia, Kinsley for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Kinsley in the early evening on 2016/07/28?\", \"39 minutes\"], [\"who did I talk to on 2016/07/28?\", \"Layla, Lydia, Kinsley\"], [\"Did I talk to Layla, Lydia, Kinsley on 2016/07/28?\", \"yes\"], [\"Did I talk to anyone on 2016/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10005\", \"logical_representation\": [\"2016/07/28\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/28?\", \"55 minutes\"], [\"what did I watch on tv on 2016/07/28?\", \"news\"], [\"Did I watch tv on 2016/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/31\": {\"grocery\": {\"eid\": \"e9184\", \"logical_representation\": [\"2016/07/31\", \"I bought some mandarins, chocolate milk, mango juice, soda, toilet paper online.\", \"mandarins\", \"chocolate milk, mango juice, soda\", \"toilet paper\", \"Emily, Carter\"], \"text_template_based\": \"I bought some mandarins, chocolate milk, mango juice, soda, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/07/31?\", \"mandarins, chocolate milk, mango juice, soda, and toilet paper\"], [\"what fruits did I buy online on 2016/07/31?\", \"mandarins\"], [\"what drinks did I buy online on 2016/07/31?\", \"chocolate milk, mango juice, soda\"], [\"what toiletries did I buy online on 2016/07/31?\", \"toilet paper\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10012\", \"logical_representation\": [\"2016/07/31\", \"lunch\", \"fish and chips\", \"Claire, Layla, Kinsley, Piper, Avery, Olivia, Piper, Lydia, Eva, Nora, Rylee, Hazel, Nevaeh\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/07/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10013\", \"logical_representation\": [\"2016/07/31\", \"dinner\", \"sandwich\", \"Avery\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/07/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10014\", \"logical_representation\": [\"2016/07/31\", \"Lydia, Piper\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper for 25 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper in the early afternoon on 2016/07/31?\", \"25 minutes\"], [\"who did I talk to on 2016/07/31?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2016/07/31?\", \"yes\"], [\"Did I talk to anyone on 2016/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10015\", \"logical_representation\": [\"2016/07/31\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/07/31?\", \"26 minutes\"], [\"what did I read on 2016/07/31?\", \"social media\"], [\"Did I read on 2016/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10016\", \"logical_representation\": [\"2016/07/31\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I watched a documentary for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/31?\", \"7 minutes\"], [\"what did I watch on tv on 2016/07/31?\", \"a documentary\"], [\"Did I watch tv on 2016/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/03\": {\"grocery\": {\"eid\": \"e9185\", \"logical_representation\": [\"2016/08/03\", \"I bought some mangos, milk, orange juice, toothbrush from the grocery store. I saw Andrew, Kayden, Emily at the grocery store.\", \"mangos\", \"milk, orange juice\", \"toothbrush\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I bought some mangos, milk, orange juice, toothbrush from the grocery store. I saw Andrew, Kayden, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/08/03?\", \"mangos, milk, orange juice, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2016/08/03?\", \"mangos\"], [\"what drinks did I buy from the grocery store on 2016/08/03?\", \"milk, orange juice\"], [\"what toiletries did I buy from the grocery store on 2016/08/03?\", \"toothbrush\"], [\"who did I see at the grocery store on 2016/08/03?\", \"Andrew, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10026\", \"logical_representation\": [\"2016/08/03\", \"breakfast\", \"pancakes\", \"Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/08/03?\", \"Carter, Kayden\"], [\"what did I eat for breakfast on 2016/08/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10027\", \"logical_representation\": [\"2016/08/03\", \"lunch\", \"sandwich\", \"Kinsley, Nevaeh, Avery, Piper, Eva, Claire, Rylee, Olivia, Nora, Hazel, Lydia\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10028\", \"logical_representation\": [\"2016/08/03\", \"dinner\", \"chinese food\", \"Kinsley, Lydia, Piper, Rylee, Hazel, Olivia, Avery, Piper, Nevaeh, Layla\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/08/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10029\", \"logical_representation\": [\"2016/08/03\", \"Claire\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Claire for 48 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2016/08/03?\", \"48 minutes\"], [\"who did I talk to on 2016/08/03?\", \"Claire\"], [\"Did I talk to Claire on 2016/08/03?\", \"yes\"], [\"Did I talk to anyone on 2016/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10030\", \"logical_representation\": [\"2016/08/03\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/03?\", \"17 minutes\"], [\"what did I watch on tv on 2016/08/03?\", \"a movie\"], [\"Did I watch tv on 2016/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/08\": {\"bake\": {\"eid\": \"e9186\", \"logical_representation\": [\"2016/08/08\", \"I really enjoyed baking easy peanut butter fudge, blackberry-raspberry skillet cobbler, brown sugar-pear puff pastries on 2016/08/08 with Avery, Lydia, Piper, Eva at my place\", \"bake\", \"easy peanut butter fudge, blackberry-raspberry skillet cobbler, brown sugar-pear puff pastries\", \"Avery, Lydia, Piper, Eva\", \"my place\"], \"text_template_based\": \"I really enjoyed baking easy peanut butter fudge, blackberry-raspberry skillet cobbler, brown sugar-pear puff pastries on 2016/08/08 with Avery, Lydia, Piper, Eva at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  easy peanut butter fudge, blackberry-raspberry skillet cobbler, brown sugar-pear puff pastries with Avery, Lydia, Piper, Eva?\", \"2016/08/08\"], [\"what did I  on 2016/08/08?\", \"easy peanut butter fudge, blackberry-raspberry skillet cobbler, brown sugar-pear puff pastries\"], [\"who was I with when I  easy peanut butter fudge, blackberry-raspberry skillet cobbler, brown sugar-pear puff pastries on 2016/08/08?\", \"Avery, Lydia, Piper, Eva\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9187\", \"logical_representation\": [\"2016/08/08\", \"I went grocery shopping. I bought some guava, blueberries, apple juice, mineral water, coffee, orange juice, and shaving cream, mouth wash, body lotion, toothbrush\", \"guava, blueberries\", \"apple juice, mineral water, coffee, orange juice\", \"shaving cream, mouth wash, body lotion, toothbrush\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I went grocery shopping. I bought some guava, blueberries, apple juice, mineral water, coffee, orange juice, and shaving cream, mouth wash, body lotion, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/08/08?\", \"guava, blueberries, apple juice, mineral water, coffee, orange juice, and shaving cream, mouth wash, body lotion, toothbrush\"], [\"what fruits did I buy from the grocery store on 2016/08/08?\", \"guava, blueberries\"], [\"what drinks did I buy from the grocery store on 2016/08/08?\", \"apple juice, mineral water, coffee, orange juice\"], [\"what toiletries did I buy from the grocery store on 2016/08/08?\", \"shaving cream, mouth wash, body lotion, toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10042\", \"logical_representation\": [\"2016/08/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/08/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10043\", \"logical_representation\": [\"2016/08/08\", \"lunch\", \"sandwich\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10044\", \"logical_representation\": [\"2016/08/08\", \"Eva, Avery, Layla\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Eva, Avery, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Layla during lunch hours on 2016/08/08?\", \"26 minutes\"], [\"who did I talk to on 2016/08/08?\", \"Eva, Avery, Layla\"], [\"Did I talk to Eva, Avery, Layla on 2016/08/08?\", \"yes\"], [\"Did I talk to anyone on 2016/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10045\", \"logical_representation\": [\"2016/08/08\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I watched a movie for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/08?\", \"22 minutes\"], [\"what did I watch on tv on 2016/08/08?\", \"a movie\"], [\"Did I watch tv on 2016/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/15\": {\"dating\": {\"eid\": \"e9188\", \"logical_representation\": [\"2016/08/15\", \"Elena\", \"a park\"], \"text_template_based\": \"On 2016/08/15, I took Elena on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/08/15\", \"Elena\"], [\"where did I go for the date on 2016/08/15\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e9189\", \"logical_representation\": [\"2016/08/15\", \"I spent some time meditation on 2016/08/15.\", \"meditation\", \"Willow\"], \"text_template_based\": \"I spent some time meditation on 2016/08/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2016/08/15\"], [\"On 2016/08/15, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9190\", \"logical_representation\": [\"2016/08/15\", \"I went grocery shopping with Emily, Carter, Andrew, Kayden. I bought some apples, mineral water, guava juice, and mouthwash, facial wash, shaving cream\", \"apples\", \"mineral water, guava juice\", \"mouthwash, facial wash, shaving cream\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping with Emily, Carter, Andrew, Kayden. I bought some apples, mineral water, guava juice, and mouthwash, facial wash, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/08/15?\", \"apples, mineral water, guava juice, and mouthwash, facial wash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2016/08/15?\", \"apples\"], [\"what drinks did I buy from the grocery store on 2016/08/15?\", \"mineral water, guava juice\"], [\"what toiletries did I buy from the grocery store on 2016/08/15?\", \"mouthwash, facial wash, shaving cream\"], [\"who was with me at the grocery store on 2016/08/15?\", \"Emily, Carter, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10072\", \"logical_representation\": [\"2016/08/15\", \"breakfast\", \"toast and cheese\", \"Avery, Claire, Eva, Layla, Kinsley, Hazel, Piper, Olivia, Nora, Rylee\"], \"text_template_based\": \"I had breakfast with Avery, Claire, Eva, Layla, Kinsley, Hazel, Piper, Olivia, Nora, Rylee. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/08/15?\", \"Avery, Claire, Eva, Layla, Kinsley, Hazel, Piper, Olivia, Nora, Rylee\"], [\"what did I eat for breakfast on 2016/08/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10073\", \"logical_representation\": [\"2016/08/15\", \"Avery, Lydia\", \"in the morning\", \"53 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia for 53 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia in the morning on 2016/08/15?\", \"53 minutes\"], [\"who did I talk to on 2016/08/15?\", \"Avery, Lydia\"], [\"Did I talk to Avery, Lydia on 2016/08/15?\", \"yes\"], [\"Did I talk to anyone on 2016/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10074\", \"logical_representation\": [\"2016/08/15\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/08/15?\", \"30 minutes\"], [\"what did I read on 2016/08/15?\", \"news\"], [\"Did I read on 2016/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/23\": {\"hobbies\": {\"eid\": \"e9191\", \"logical_representation\": [\"2016/08/23\", \"I spent time learning a language on 2016/08/23 with Carter.\", \"learning a language\", \"Carter\"], \"text_template_based\": \"I spent time learning a language on 2016/08/23 with Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Carter?\", \"2016/08/23\"], [\"On 2016/08/23, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2016/08/23?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10105\", \"logical_representation\": [\"2016/08/23\", \"lunch\", \"a burger\", \"Willow, Jackson\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10106\", \"logical_representation\": [\"2016/08/23\", \"dinner\", \"tacos\", \"Rylee, Piper, Piper, Eva, Claire, Nora, Layla\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/08/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10107\", \"logical_representation\": [\"2016/08/23\", \"Eva, Nora, Nevaeh, Lydia\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I talked to Eva, Nora, Nevaeh, Lydia for 24 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Nevaeh, Lydia during lunch hours on 2016/08/23?\", \"24 minutes\"], [\"who did I talk to on 2016/08/23?\", \"Eva, Nora, Nevaeh, Lydia\"], [\"Did I talk to Eva, Nora, Nevaeh, Lydia on 2016/08/23?\", \"yes\"], [\"Did I talk to anyone on 2016/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10108\", \"logical_representation\": [\"2016/08/23\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/08/23?\", \"49 minutes\"], [\"what did I read on 2016/08/23?\", \"social media\"], [\"Did I read on 2016/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10109\", \"logical_representation\": [\"2016/08/23\", \"news\", \"5 minutes\"], \"text_template_based\": \"I watched news for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/23?\", \"5 minutes\"], [\"what did I watch on tv on 2016/08/23?\", \"news\"], [\"Did I watch tv on 2016/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/30\": {\"dating\": {\"eid\": \"e9192\", \"logical_representation\": [\"2016/08/30\", \"Cooper\", \"a park\"], \"text_template_based\": \"I went on a date with Cooper on 2016/08/30 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/08/30\", \"Cooper\"], [\"where did I go for the date on 2016/08/30\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9193\", \"logical_representation\": [\"2016/08/30\", \"I went grocery shopping with Emily. I bought some pineapples, apples, pineapple juice, sports drinks, milk, coffee, and conditioner\", \"pineapples, apples\", \"pineapple juice, sports drinks, milk, coffee\", \"conditioner\", \"Emily\"], \"text_template_based\": \"I went grocery shopping with Emily. I bought some pineapples, apples, pineapple juice, sports drinks, milk, coffee, and conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/08/30?\", \"pineapples, apples, pineapple juice, sports drinks, milk, coffee, and conditioner\"], [\"what fruits did I buy from the grocery store on 2016/08/30?\", \"pineapples, apples\"], [\"what drinks did I buy from the grocery store on 2016/08/30?\", \"pineapple juice, sports drinks, milk, coffee\"], [\"what toiletries did I buy from the grocery store on 2016/08/30?\", \"conditioner\"], [\"who was with me at the grocery store on 2016/08/30?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10133\", \"logical_representation\": [\"2016/08/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/08/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10134\", \"logical_representation\": [\"2016/08/30\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/08/30?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2016/08/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10135\", \"logical_representation\": [\"2016/08/30\", \"lunch\", \"fish and chips\", \"Olivia, Hazel, Piper, Eva, Nevaeh, Piper, Claire, Nora, Layla, Avery, Rylee, Kinsley, Lydia\"], \"text_template_based\": \"I had fish and chips for lunch with Olivia, Hazel, Piper, Eva, Nevaeh, Piper, Claire, Nora, Layla, Avery, Rylee, Kinsley, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/08/30?\", \"Olivia, Hazel, Piper, Eva, Nevaeh, Piper, Claire, Nora, Layla, Avery, Rylee, Kinsley, Lydia\"], [\"what did I eat for lunch on 2016/08/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10136\", \"logical_representation\": [\"2016/08/30\", \"dinner\", \"sushi\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/08/30\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10137\", \"logical_representation\": [\"2016/08/30\", \"Avery, Piper\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Avery, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper late in the evening on 2016/08/30?\", \"46 minutes\"], [\"who did I talk to on 2016/08/30?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2016/08/30?\", \"yes\"], [\"Did I talk to anyone on 2016/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10138\", \"logical_representation\": [\"2016/08/30\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/08/30?\", \"45 minutes\"], [\"what did I read on 2016/08/30?\", \"a book\"], [\"Did I read on 2016/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10139\", \"logical_representation\": [\"2016/08/30\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/30?\", \"31 minutes\"], [\"what did I watch on tv on 2016/08/30?\", \"news\"], [\"Did I watch tv on 2016/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/05\": {\"dating\": {\"eid\": \"e9194\", \"logical_representation\": [\"2016/09/05\", \"Naomi\", \"a park\"], \"text_template_based\": \"I went on a date with Naomi on 2016/09/05 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/09/05\", \"Naomi\"], [\"where did I go for the date on 2016/09/05\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10159\", \"logical_representation\": [\"2016/09/05\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10160\", \"logical_representation\": [\"2016/09/05\", \"lunch\", \"a burger\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/09/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10161\", \"logical_representation\": [\"2016/09/05\", \"dinner\", \"pasta\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/09/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10162\", \"logical_representation\": [\"2016/09/05\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/09/05?\", \"49 minutes\"], [\"what did I read on 2016/09/05?\", \"news\"], [\"Did I read on 2016/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/03\": {\"grocery\": {\"eid\": \"e9195\", \"logical_representation\": [\"2016/09/03\", \"I bought some raspberries, mango juice, apple juice, shaving cream, paper towel, conditioner, mouthwash online.\", \"raspberries\", \"mango juice, apple juice\", \"shaving cream, paper towel, conditioner, mouthwash\", \"Eva, Olivia, Claire, Piper, Layla, Nora, Piper, Kinsley, Nevaeh, Hazel, Rylee\"], \"text_template_based\": \"I bought some raspberries, mango juice, apple juice, shaving cream, paper towel, conditioner, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/09/03?\", \"raspberries, mango juice, apple juice, and shaving cream, paper towel, conditioner, mouthwash\"], [\"what fruits did I buy online on 2016/09/03?\", \"raspberries\"], [\"what drinks did I buy online on 2016/09/03?\", \"mango juice, apple juice\"], [\"what toiletries did I buy online on 2016/09/03?\", \"shaving cream, paper towel, conditioner, mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10149\", \"logical_representation\": [\"2016/09/03\", \"running\"], \"text_template_based\": \"I did running on 2016/09/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10150\", \"logical_representation\": [\"2016/09/03\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10151\", \"logical_representation\": [\"2016/09/03\", \"lunch\", \"sushi\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/09/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10152\", \"logical_representation\": [\"2016/09/03\", \"Layla\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2016/09/03?\", \"49 minutes\"], [\"who did I talk to on 2016/09/03?\", \"Layla\"], [\"Did I talk to Layla on 2016/09/03?\", \"yes\"], [\"Did I talk to anyone on 2016/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10153\", \"logical_representation\": [\"2016/09/03\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/09/03?\", \"10 minutes\"], [\"what did I read on 2016/09/03?\", \"news\"], [\"Did I read on 2016/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10154\", \"logical_representation\": [\"2016/09/03\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/03?\", \"15 minutes\"], [\"what did I watch on tv on 2016/09/03?\", \"news\"], [\"Did I watch tv on 2016/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/07\": {\"grocery\": {\"eid\": \"e9196\", \"logical_representation\": [\"2016/09/07\", \"I went grocery shopping. I bought some cherres, strawberries, raspberries, oranges, apple juice, orange juice, coffee, guava juice, and paper towel, shampoo, mouth wash, toothbrush\", \"cherres, strawberries, raspberries, oranges\", \"apple juice, orange juice, coffee, guava juice\", \"paper towel, shampoo, mouth wash, toothbrush\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some cherres, strawberries, raspberries, oranges, apple juice, orange juice, coffee, guava juice, and paper towel, shampoo, mouth wash, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/09/07?\", \"cherres, strawberries, raspberries, oranges, apple juice, orange juice, coffee, guava juice, and paper towel, shampoo, mouth wash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2016/09/07?\", \"cherres, strawberries, raspberries, oranges\"], [\"what drinks did I buy from the grocery store on 2016/09/07?\", \"apple juice, orange juice, coffee, guava juice\"], [\"what toiletries did I buy from the grocery store on 2016/09/07?\", \"paper towel, shampoo, mouth wash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10166\", \"logical_representation\": [\"2016/09/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10167\", \"logical_representation\": [\"2016/09/07\", \"lunch\", \"steak\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/09/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10168\", \"logical_representation\": [\"2016/09/07\", \"Layla, Rylee, Nevaeh, Claire\", \"late in the evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Layla, Rylee, Nevaeh, Claire for 48 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Nevaeh, Claire late in the evening on 2016/09/07?\", \"48 minutes\"], [\"who did I talk to on 2016/09/07?\", \"Layla, Rylee, Nevaeh, Claire\"], [\"Did I talk to Layla, Rylee, Nevaeh, Claire on 2016/09/07?\", \"yes\"], [\"Did I talk to anyone on 2016/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10169\", \"logical_representation\": [\"2016/09/07\", \"news\", \"14 minutes\"], \"text_template_based\": \"I watched news for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/07?\", \"14 minutes\"], [\"what did I watch on tv on 2016/09/07?\", \"news\"], [\"Did I watch tv on 2016/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/14\": {\"grocery\": {\"eid\": \"e9197\", \"logical_representation\": [\"2016/09/14\", \"I bought some pineapples, peaches, orange juice, chocolate milk, guava juice, shampoo, mouthwash, facial wash, toilet paper online.\", \"pineapples, peaches\", \"orange juice, chocolate milk, guava juice\", \"shampoo, mouthwash, facial wash, toilet paper\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I bought some pineapples, peaches, orange juice, chocolate milk, guava juice, shampoo, mouthwash, facial wash, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/09/14?\", \"pineapples, peaches, orange juice, chocolate milk, guava juice, and shampoo, mouthwash, facial wash, toilet paper\"], [\"what fruits did I buy online on 2016/09/14?\", \"pineapples, peaches\"], [\"what drinks did I buy online on 2016/09/14?\", \"orange juice, chocolate milk, guava juice\"], [\"what toiletries did I buy online on 2016/09/14?\", \"shampoo, mouthwash, facial wash, toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10196\", \"logical_representation\": [\"2016/09/14\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/09/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/14?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10197\", \"logical_representation\": [\"2016/09/14\", \"lunch\", \"indian food\", \"Layla, Piper, Piper, Kinsley, Nora, Eva, Olivia, Claire, Hazel, Nevaeh, Rylee, Lydia\"], \"text_template_based\": \"I had indian food for lunch with Layla, Piper, Piper, Kinsley, Nora, Eva, Olivia, Claire, Hazel, Nevaeh, Rylee, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/14?\", \"Layla, Piper, Piper, Kinsley, Nora, Eva, Olivia, Claire, Hazel, Nevaeh, Rylee, Lydia\"], [\"what did I eat for lunch on 2016/09/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10198\", \"logical_representation\": [\"2016/09/14\", \"dinner\", \"tacos\", \"Carter, Andrew\"], \"text_template_based\": \"I had tacos for dinner with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/09/14?\", \"Carter, Andrew\"], [\"what did I eat for dinner on 2016/09/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10199\", \"logical_representation\": [\"2016/09/14\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/09/14?\", \"48 minutes\"], [\"what did I read on 2016/09/14?\", \"news\"], [\"Did I read on 2016/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/17\": {\"dating\": {\"eid\": \"e9198\", \"logical_representation\": [\"2016/09/17\", \"Claire\", \"a restaurant\"], \"text_template_based\": \"On 2016/09/17, I took Claire on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/09/17\", \"Claire\"], [\"where did I go for the date on 2016/09/17\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10209\", \"logical_representation\": [\"2016/09/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/09/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10210\", \"logical_representation\": [\"2016/09/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10211\", \"logical_representation\": [\"2016/09/17\", \"lunch\", \"sandwich\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had sandwich for lunch with Carter, Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/17?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2016/09/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2016/09/20\": {\"hobbies\": {\"eid\": \"e9199\", \"logical_representation\": [\"2016/09/20\", \"I really enjoyed working out on 2016/09/20\", \"working out\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I really enjoyed working out on 2016/09/20\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2016/09/20\"], [\"On 2016/09/20, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9200\", \"logical_representation\": [\"2016/09/20\", \"I went grocery shopping. I bought some blueberries, cherres, sports drinks, and body lotion\", \"blueberries, cherres\", \"sports drinks\", \"body lotion\", \"Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some blueberries, cherres, sports drinks, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/09/20?\", \"blueberries, cherres, sports drinks, and body lotion\"], [\"what fruits did I buy from the grocery store on 2016/09/20?\", \"blueberries, cherres\"], [\"what drinks did I buy from the grocery store on 2016/09/20?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2016/09/20?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10217\", \"logical_representation\": [\"2016/09/20\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/20\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10218\", \"logical_representation\": [\"2016/09/20\", \"dinner\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/09/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10219\", \"logical_representation\": [\"2016/09/20\", \"Hazel, Avery, Piper, Lydia\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Hazel, Avery, Piper, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Piper, Lydia in the early afternoon on 2016/09/20?\", \"33 minutes\"], [\"who did I talk to on 2016/09/20?\", \"Hazel, Avery, Piper, Lydia\"], [\"Did I talk to Hazel, Avery, Piper, Lydia on 2016/09/20?\", \"yes\"], [\"Did I talk to anyone on 2016/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10220\", \"logical_representation\": [\"2016/09/20\", \"a tv series\", \"44 minutes\"], \"text_template_based\": \"I watched a tv series for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/20?\", \"44 minutes\"], [\"what did I watch on tv on 2016/09/20?\", \"a tv series\"], [\"Did I watch tv on 2016/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/23\": {\"dating\": {\"eid\": \"e9201\", \"logical_representation\": [\"2016/09/23\", \"Caleb\", \"a park\"], \"text_template_based\": \"I went on a date with Caleb on 2016/09/23 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/09/23\", \"Caleb\"], [\"where did I go for the date on 2016/09/23\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e9203\", \"logical_representation\": [\"2016/09/23\", \"I really enjoyed yoga on 2016/09/23\", \"yoga\", \"Piper, Eva\"], \"text_template_based\": \"I really enjoyed yoga on 2016/09/23\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2016/09/23\"], [\"On 2016/09/23, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10228\", \"logical_representation\": [\"2016/09/23\", \"lunch\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I had fish and chips for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/23?\", \"Andrew\"], [\"what did I eat for lunch on 2016/09/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10229\", \"logical_representation\": [\"2016/09/23\", \"Claire, Piper\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Claire, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper late in the evening on 2016/09/23?\", \"53 minutes\"], [\"who did I talk to on 2016/09/23?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2016/09/23?\", \"yes\"], [\"Did I talk to anyone on 2016/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10230\", \"logical_representation\": [\"2016/09/23\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/09/23?\", \"9 minutes\"], [\"what did I read on 2016/09/23?\", \"news\"], [\"Did I read on 2016/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/28\": {\"dating\": {\"eid\": \"e9202\", \"logical_representation\": [\"2016/09/28\", \"Lucas\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Lucas on 2016/09/28 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/09/28\", \"Lucas\"], [\"where did I go for the date on 2016/09/28\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10248\", \"logical_representation\": [\"2016/09/28\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/09/28?\", \"19 minutes\"], [\"what did I read on 2016/09/28?\", \"social media\"], [\"Did I read on 2016/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/02\": {\"grocery\": {\"eid\": \"e9204\", \"logical_representation\": [\"2016/10/02\", \"I went grocery shopping. I bought some watermelons, pineapple juice, sports drinks, apple juice, and mouthwash\", \"watermelons\", \"pineapple juice, sports drinks, apple juice\", \"mouthwash\", \"Jackson\"], \"text_template_based\": \"I went grocery shopping. I bought some watermelons, pineapple juice, sports drinks, apple juice, and mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/10/02?\", \"watermelons, pineapple juice, sports drinks, apple juice, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2016/10/02?\", \"watermelons\"], [\"what drinks did I buy from the grocery store on 2016/10/02?\", \"pineapple juice, sports drinks, apple juice\"], [\"what toiletries did I buy from the grocery store on 2016/10/02?\", \"mouthwash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10263\", \"logical_representation\": [\"2016/10/02\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/10/02?\", \"Carter\"], [\"what did I eat for breakfast on 2016/10/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10264\", \"logical_representation\": [\"2016/10/02\", \"dinner\", \"chinese food\", \"Layla, Avery, Lydia, Rylee, Nevaeh\"], \"text_template_based\": \"I had dinner with Layla, Avery, Lydia, Rylee, Nevaeh. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/10/02?\", \"Layla, Avery, Lydia, Rylee, Nevaeh\"], [\"what did I eat for dinner on 2016/10/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10265\", \"logical_representation\": [\"2016/10/02\", \"Layla, Nevaeh, Piper, Rylee\", \"in the morning\", \"12 minutes\"], \"text_template_based\": \"I talked to Layla, Nevaeh, Piper, Rylee for 12 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Piper, Rylee in the morning on 2016/10/02?\", \"12 minutes\"], [\"who did I talk to on 2016/10/02?\", \"Layla, Nevaeh, Piper, Rylee\"], [\"Did I talk to Layla, Nevaeh, Piper, Rylee on 2016/10/02?\", \"yes\"], [\"Did I talk to anyone on 2016/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10266\", \"logical_representation\": [\"2016/10/02\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/10/02?\", \"18 minutes\"], [\"what did I read on 2016/10/02?\", \"a book\"], [\"Did I read on 2016/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10267\", \"logical_representation\": [\"2016/10/02\", \"a movie\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/02?\", \"31 minutes\"], [\"what did I watch on tv on 2016/10/02?\", \"a movie\"], [\"Did I watch tv on 2016/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/04\": {\"grocery\": {\"eid\": \"e9205\", \"logical_representation\": [\"2016/10/04\", \"I went grocery shopping. I bought some apricots, mandarins, pineapple juice, apple juice, tea, and mouthwash, shaving cream, facial wash\", \"apricots, mandarins\", \"pineapple juice, apple juice, tea\", \"mouthwash, shaving cream, facial wash\", \"Jackson, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, mandarins, pineapple juice, apple juice, tea, and mouthwash, shaving cream, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/10/04?\", \"apricots, mandarins, pineapple juice, apple juice, tea, and mouthwash, shaving cream, facial wash\"], [\"what fruits did I buy from the grocery store on 2016/10/04?\", \"apricots, mandarins\"], [\"what drinks did I buy from the grocery store on 2016/10/04?\", \"pineapple juice, apple juice, tea\"], [\"what toiletries did I buy from the grocery store on 2016/10/04?\", \"mouthwash, shaving cream, facial wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10273\", \"logical_representation\": [\"2016/10/04\", \"breakfast\", \"cereals\", \"Lydia, Layla, Hazel, Piper, Kinsley, Claire, Eva, Rylee, Nevaeh, Nora, Piper\"], \"text_template_based\": \"I had cereals for breakfast with Lydia, Layla, Hazel, Piper, Kinsley, Claire, Eva, Rylee, Nevaeh, Nora, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/10/04?\", \"Lydia, Layla, Hazel, Piper, Kinsley, Claire, Eva, Rylee, Nevaeh, Nora, Piper\"], [\"what did I eat for breakfast on 2016/10/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10274\", \"logical_representation\": [\"2016/10/04\", \"lunch\", \"steak\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had steak for lunch with Andrew, Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/10/04?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for lunch on 2016/10/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10275\", \"logical_representation\": [\"2016/10/04\", \"Claire, Avery\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Claire, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery in the late afternoon on 2016/10/04?\", \"41 minutes\"], [\"who did I talk to on 2016/10/04?\", \"Claire, Avery\"], [\"Did I talk to Claire, Avery on 2016/10/04?\", \"yes\"], [\"Did I talk to anyone on 2016/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10276\", \"logical_representation\": [\"2016/10/04\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/10/04?\", \"14 minutes\"], [\"what did I read on 2016/10/04?\", \"a book\"], [\"Did I read on 2016/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10277\", \"logical_representation\": [\"2016/10/04\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/04?\", \"47 minutes\"], [\"what did I watch on tv on 2016/10/04?\", \"a tv series\"], [\"Did I watch tv on 2016/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/08\": {\"grocery\": {\"eid\": \"e9206\", \"logical_representation\": [\"2016/10/08\", \"I bought some mandarins, watermelons, blackberries, coffee, orange juice, toothbrush, shampoo from the grocery store. I saw Rylee, Olivia, Piper, Nora, Hazel, Lydia, Layla at the grocery store.\", \"mandarins, watermelons, blackberries\", \"coffee, orange juice\", \"toothbrush, shampoo\", \"Rylee, Olivia, Piper, Nora, Hazel, Lydia, Layla\"], \"text_template_based\": \"I bought some mandarins, watermelons, blackberries, coffee, orange juice, toothbrush, shampoo from the grocery store. I saw Rylee, Olivia, Piper, Nora, Hazel, Lydia, Layla at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/10/08?\", \"mandarins, watermelons, blackberries, coffee, orange juice, and toothbrush, shampoo\"], [\"what fruits did I buy from the grocery store on 2016/10/08?\", \"mandarins, watermelons, blackberries\"], [\"what drinks did I buy from the grocery store on 2016/10/08?\", \"coffee, orange juice\"], [\"what toiletries did I buy from the grocery store on 2016/10/08?\", \"toothbrush, shampoo\"], [\"who did I see at the grocery store on 2016/10/08?\", \"Rylee, Olivia, Piper, Nora, Hazel, Lydia, Layla\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10292\", \"logical_representation\": [\"2016/10/08\", \"breakfast\", \"oatmeal\", \"Nora, Nevaeh, Kinsley, Avery\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/10/08\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10293\", \"logical_representation\": [\"2016/10/08\", \"Olivia, Piper, Layla, Nora\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Olivia, Piper, Layla, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Layla, Nora in the early afternoon on 2016/10/08?\", \"25 minutes\"], [\"who did I talk to on 2016/10/08?\", \"Olivia, Piper, Layla, Nora\"], [\"Did I talk to Olivia, Piper, Layla, Nora on 2016/10/08?\", \"yes\"], [\"Did I talk to anyone on 2016/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10294\", \"logical_representation\": [\"2016/10/08\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/10/08?\", \"32 minutes\"], [\"what did I read on 2016/10/08?\", \"news\"], [\"Did I read on 2016/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/25\": {\"dating\": {\"eid\": \"e9207\", \"logical_representation\": [\"2016/10/25\", \"Alexander\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Alexander on 2016/10/25 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/10/25\", \"Alexander\"], [\"where did I go for the date on 2016/10/25\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10361\", \"logical_representation\": [\"2016/10/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/10/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10362\", \"logical_representation\": [\"2016/10/25\", \"lunch\", \"steak\", \"Avery, Benjamin\"], \"text_template_based\": \"I had lunch with Avery, Benjamin. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/10/25?\", \"Avery, Benjamin\"], [\"what did I eat for lunch on 2016/10/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10363\", \"logical_representation\": [\"2016/10/25\", \"dinner\", \"chinese food\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10364\", \"logical_representation\": [\"2016/10/25\", \"Claire, Layla, Kinsley\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Claire, Layla, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Kinsley in the early evening on 2016/10/25?\", \"28 minutes\"], [\"who did I talk to on 2016/10/25?\", \"Claire, Layla, Kinsley\"], [\"Did I talk to Claire, Layla, Kinsley on 2016/10/25?\", \"yes\"], [\"Did I talk to anyone on 2016/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10365\", \"logical_representation\": [\"2016/10/25\", \"Nora, Claire\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I talked to Nora, Claire for 41 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire in the morning on 2016/10/25?\", \"41 minutes\"], [\"who did I talk to on 2016/10/25?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2016/10/25?\", \"yes\"], [\"Did I talk to anyone on 2016/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/26\": {\"hobbies\": {\"eid\": \"e9208\", \"logical_representation\": [\"2016/10/26\", \"I really enjoyed meditation on 2016/10/26\", \"meditation\", \"Emily\"], \"text_template_based\": \"I really enjoyed meditation on 2016/10/26\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2016/10/26\"], [\"On 2016/10/26, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9209\", \"logical_representation\": [\"2016/10/26\", \"I went grocery shopping with Carter, Kayden. I bought some raspberries, strawberries, watermelons, sports drinks, apple juice, milk, chocolate milk, and shampoo, mouthwash, toothpaste, conditioner\", \"raspberries, strawberries, watermelons\", \"sports drinks, apple juice, milk, chocolate milk\", \"shampoo, mouthwash, toothpaste, conditioner\", \"Carter, Kayden\"], \"text_template_based\": \"I went grocery shopping with Carter, Kayden. I bought some raspberries, strawberries, watermelons, sports drinks, apple juice, milk, chocolate milk, and shampoo, mouthwash, toothpaste, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/10/26?\", \"raspberries, strawberries, watermelons, sports drinks, apple juice, milk, chocolate milk, and shampoo, mouthwash, toothpaste, conditioner\"], [\"what fruits did I buy from the grocery store on 2016/10/26?\", \"raspberries, strawberries, watermelons\"], [\"what drinks did I buy from the grocery store on 2016/10/26?\", \"sports drinks, apple juice, milk, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2016/10/26?\", \"shampoo, mouthwash, toothpaste, conditioner\"], [\"who was with me at the grocery store on 2016/10/26?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10366\", \"logical_representation\": [\"2016/10/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/10/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10367\", \"logical_representation\": [\"2016/10/26\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/10/26?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for breakfast on 2016/10/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10368\", \"logical_representation\": [\"2016/10/26\", \"lunch\", \"pasta\", \"Jackson, Avery\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/10/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10369\", \"logical_representation\": [\"2016/10/26\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/10/26?\", \"11 minutes\"], [\"what did I read on 2016/10/26?\", \"a book\"], [\"Did I read on 2016/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/28\": {\"grocery\": {\"eid\": \"e9210\", \"logical_representation\": [\"2016/10/28\", \"I bought some strawberries, clementines, cherres, coffee, shampoo, facial wash, toothpaste from the grocery store. I saw Benjamin, Jackson at the grocery store.\", \"strawberries, clementines, cherres\", \"coffee\", \"shampoo, facial wash, toothpaste\", \"Benjamin, Jackson\"], \"text_template_based\": \"I bought some strawberries, clementines, cherres, coffee, shampoo, facial wash, toothpaste from the grocery store. I saw Benjamin, Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/10/28?\", \"strawberries, clementines, cherres, coffee, and shampoo, facial wash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2016/10/28?\", \"strawberries, clementines, cherres\"], [\"what drinks did I buy from the grocery store on 2016/10/28?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2016/10/28?\", \"shampoo, facial wash, toothpaste\"], [\"who did I see at the grocery store on 2016/10/28?\", \"Benjamin, Jackson\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10376\", \"logical_representation\": [\"2016/10/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/10/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10377\", \"logical_representation\": [\"2016/10/28\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/10/28\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10378\", \"logical_representation\": [\"2016/10/28\", \"lunch\", \"sushi\", \"Nora, Olivia, Layla, Kinsley, Avery, Piper, Piper, Lydia\"], \"text_template_based\": \"I had lunch with Nora, Olivia, Layla, Kinsley, Avery, Piper, Piper, Lydia. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/10/28?\", \"Nora, Olivia, Layla, Kinsley, Avery, Piper, Piper, Lydia\"], [\"what did I eat for lunch on 2016/10/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10379\", \"logical_representation\": [\"2016/10/28\", \"Nevaeh, Lydia\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia for 46 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia during lunch hours on 2016/10/28?\", \"46 minutes\"], [\"who did I talk to on 2016/10/28?\", \"Nevaeh, Lydia\"], [\"Did I talk to Nevaeh, Lydia on 2016/10/28?\", \"yes\"], [\"Did I talk to anyone on 2016/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10380\", \"logical_representation\": [\"2016/10/28\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/10/28?\", \"9 minutes\"], [\"what did I read on 2016/10/28?\", \"social media\"], [\"Did I read on 2016/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10381\", \"logical_representation\": [\"2016/10/28\", \"a documentary\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/28?\", \"34 minutes\"], [\"what did I watch on tv on 2016/10/28?\", \"a documentary\"], [\"Did I watch tv on 2016/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/31\": {\"grocery\": {\"eid\": \"e9211\", \"logical_representation\": [\"2016/10/31\", \"I bought some pineapples, pineapple juice, chocolate milk, paper towel online.\", \"pineapples\", \"pineapple juice, chocolate milk\", \"paper towel\", \"Kinsley, Claire, Nevaeh, Piper, Avery\"], \"text_template_based\": \"I bought some pineapples, pineapple juice, chocolate milk, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/10/31?\", \"pineapples, pineapple juice, chocolate milk, and paper towel\"], [\"what fruits did I buy online on 2016/10/31?\", \"pineapples\"], [\"what drinks did I buy online on 2016/10/31?\", \"pineapple juice, chocolate milk\"], [\"what toiletries did I buy online on 2016/10/31?\", \"paper towel\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10391\", \"logical_representation\": [\"2016/10/31\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/10/31?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2016/10/31\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10392\", \"logical_representation\": [\"2016/10/31\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/10/31?\", \"44 minutes\"], [\"what did I read on 2016/10/31?\", \"news\"], [\"Did I read on 2016/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/10\": {\"dating\": {\"eid\": \"e9212\", \"logical_representation\": [\"2016/11/10\", \"Emma\", \"a restaurant\"], \"text_template_based\": \"On 2016/11/10, I took Emma on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/11/10\", \"Emma\"], [\"where did I go for the date on 2016/11/10\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e9213\", \"logical_representation\": [\"2016/11/10\", \"I spent time working out on 2016/11/10 with Eva.\", \"working out\", \"Eva\"], \"text_template_based\": \"I spent time working out on 2016/11/10 with Eva.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Eva?\", \"2016/11/10\"], [\"On 2016/11/10, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2016/11/10?\", \"Eva\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10432\", \"logical_representation\": [\"2016/11/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/11/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10433\", \"logical_representation\": [\"2016/11/10\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Claire, Piper\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Lydia, Claire, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/11/10?\", \"Lydia, Claire, Piper\"], [\"what did I eat for breakfast on 2016/11/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10434\", \"logical_representation\": [\"2016/11/10\", \"lunch\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had tacos for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/11/10?\", \"Kayden\"], [\"what did I eat for lunch on 2016/11/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10435\", \"logical_representation\": [\"2016/11/10\", \"dinner\", \"a burger\", \"Lydia, Piper, Olivia\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/11/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10436\", \"logical_representation\": [\"2016/11/10\", \"Kinsley, Nora, Rylee, Piper\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora, Rylee, Piper for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Rylee, Piper in the morning on 2016/11/10?\", \"30 minutes\"], [\"who did I talk to on 2016/11/10?\", \"Kinsley, Nora, Rylee, Piper\"], [\"Did I talk to Kinsley, Nora, Rylee, Piper on 2016/11/10?\", \"yes\"], [\"Did I talk to anyone on 2016/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/06\": {\"grocery\": {\"eid\": \"e9214\", \"logical_representation\": [\"2016/11/06\", \"I bought some cherres, orange juice, mineral water, coffee, toilet paper, conditioner online.\", \"cherres\", \"orange juice, mineral water, coffee\", \"toilet paper, conditioner\", \"Hazel, Avery, Nora, Nevaeh, Rylee, Layla, Kinsley, Piper, Lydia, Olivia, Eva\"], \"text_template_based\": \"I bought some cherres, orange juice, mineral water, coffee, toilet paper, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/11/06?\", \"cherres, orange juice, mineral water, coffee, and toilet paper, conditioner\"], [\"what fruits did I buy online on 2016/11/06?\", \"cherres\"], [\"what drinks did I buy online on 2016/11/06?\", \"orange juice, mineral water, coffee\"], [\"what toiletries did I buy online on 2016/11/06?\", \"toilet paper, conditioner\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10418\", \"logical_representation\": [\"2016/11/06\", \"lunch\", \"tacos\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Carter, Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/11/06?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2016/11/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10419\", \"logical_representation\": [\"2016/11/06\", \"a documentary\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/06?\", \"15 minutes\"], [\"what did I watch on tv on 2016/11/06?\", \"a documentary\"], [\"Did I watch tv on 2016/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/07\": {\"grocery\": {\"eid\": \"e9215\", \"logical_representation\": [\"2016/11/07\", \"I bought some pears, mangos, bananas, nectarines, soda, coffee, facial wash from the grocery store. I saw Kayden, Andrew at the grocery store.\", \"pears, mangos, bananas, nectarines\", \"soda, coffee\", \"facial wash\", \"Kayden, Andrew\"], \"text_template_based\": \"I bought some pears, mangos, bananas, nectarines, soda, coffee, facial wash from the grocery store. I saw Kayden, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/11/07?\", \"pears, mangos, bananas, nectarines, soda, coffee, and facial wash\"], [\"what fruits did I buy from the grocery store on 2016/11/07?\", \"pears, mangos, bananas, nectarines\"], [\"what drinks did I buy from the grocery store on 2016/11/07?\", \"soda, coffee\"], [\"what toiletries did I buy from the grocery store on 2016/11/07?\", \"facial wash\"], [\"who did I see at the grocery store on 2016/11/07?\", \"Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10420\", \"logical_representation\": [\"2016/11/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/11/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10421\", \"logical_representation\": [\"2016/11/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10422\", \"logical_representation\": [\"2016/11/07\", \"lunch\", \"tacos\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10423\", \"logical_representation\": [\"2016/11/07\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I watched a documentary for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/07?\", \"52 minutes\"], [\"what did I watch on tv on 2016/11/07?\", \"a documentary\"], [\"Did I watch tv on 2016/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/21\": {\"bake\": {\"eid\": \"e9216\", \"logical_representation\": [\"2016/11/21\", \"I really enjoyed baking cheater\\u2019s mini rhubarb galettes, birthday cupcakes with white wine buttercream on 2016/11/21 with Emily at my place\", \"bake\", \"cheater\\u2019s mini rhubarb galettes, birthday cupcakes with white wine buttercream\", \"Emily\", \"my place\"], \"text_template_based\": \"I really enjoyed baking cheater\\u2019s mini rhubarb galettes, birthday cupcakes with white wine buttercream on 2016/11/21 with Emily at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  cheater\\u2019s mini rhubarb galettes, birthday cupcakes with white wine buttercream with Emily?\", \"2016/11/21\"], [\"what did I  on 2016/11/21?\", \"cheater\\u2019s mini rhubarb galettes, birthday cupcakes with white wine buttercream\"], [\"who was I with when I  cheater\\u2019s mini rhubarb galettes, birthday cupcakes with white wine buttercream on 2016/11/21?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10481\", \"logical_representation\": [\"2016/11/21\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Andrew, Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/11/21?\", \"Emily, Andrew, Carter\"], [\"what did I eat for breakfast on 2016/11/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10482\", \"logical_representation\": [\"2016/11/21\", \"lunch\", \"a burger\", \"Piper, Kinsley, Hazel\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10483\", \"logical_representation\": [\"2016/11/21\", \"news\", \"42 minutes\"], \"text_template_based\": \"I watched news for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/21?\", \"42 minutes\"], [\"what did I watch on tv on 2016/11/21?\", \"news\"], [\"Did I watch tv on 2016/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/19\": {\"grocery\": {\"eid\": \"e9217\", \"logical_representation\": [\"2016/11/19\", \"I bought some watermelons, pineapples, mandarins, apple juice, chocolate milk, soda, toilet paper online.\", \"watermelons, pineapples, mandarins\", \"apple juice, chocolate milk, soda\", \"toilet paper\", \"Carter, Kayden\"], \"text_template_based\": \"I bought some watermelons, pineapples, mandarins, apple juice, chocolate milk, soda, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/11/19?\", \"watermelons, pineapples, mandarins, apple juice, chocolate milk, soda, and toilet paper\"], [\"what fruits did I buy online on 2016/11/19?\", \"watermelons, pineapples, mandarins\"], [\"what drinks did I buy online on 2016/11/19?\", \"apple juice, chocolate milk, soda\"], [\"what toiletries did I buy online on 2016/11/19?\", \"toilet paper\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10474\", \"logical_representation\": [\"2016/11/19\", \"dinner\", \"tacos\", \"Piper, Nora, Olivia, Avery, Hazel, Layla, Claire, Kinsley, Piper, Lydia, Eva, Rylee, Nevaeh\"], \"text_template_based\": \"I had dinner with Piper, Nora, Olivia, Avery, Hazel, Layla, Claire, Kinsley, Piper, Lydia, Eva, Rylee, Nevaeh. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/11/19?\", \"Piper, Nora, Olivia, Avery, Hazel, Layla, Claire, Kinsley, Piper, Lydia, Eva, Rylee, Nevaeh\"], [\"what did I eat for dinner on 2016/11/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10475\", \"logical_representation\": [\"2016/11/19\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/11/19?\", \"42 minutes\"], [\"what did I read on 2016/11/19?\", \"news\"], [\"Did I read on 2016/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10476\", \"logical_representation\": [\"2016/11/19\", \"a tv series\", \"15 minutes\"], \"text_template_based\": \"I watched a tv series for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/19?\", \"15 minutes\"], [\"what did I watch on tv on 2016/11/19?\", \"a tv series\"], [\"Did I watch tv on 2016/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/29\": {\"grocery\": {\"eid\": \"e9219\", \"logical_representation\": [\"2016/11/29\", \"I went grocery shopping. I bought some peaches, soda, coffee, and toothpaste\", \"peaches\", \"soda, coffee\", \"toothpaste\", \"Lydia, Kinsley, Layla, Olivia\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, soda, coffee, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/11/29?\", \"peaches, soda, coffee, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2016/11/29?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2016/11/29?\", \"soda, coffee\"], [\"what toiletries did I buy from the grocery store on 2016/11/29?\", \"toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10515\", \"logical_representation\": [\"2016/11/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/11/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10516\", \"logical_representation\": [\"2016/11/29\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10517\", \"logical_representation\": [\"2016/11/29\", \"dinner\", \"tacos\", \"Piper, Nora, Hazel, Claire, Avery, Nevaeh, Lydia\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/11/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10518\", \"logical_representation\": [\"2016/11/29\", \"Piper, Lydia\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Piper, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia in the morning on 2016/11/29?\", \"51 minutes\"], [\"who did I talk to on 2016/11/29?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2016/11/29?\", \"yes\"], [\"Did I talk to anyone on 2016/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10519\", \"logical_representation\": [\"2016/11/29\", \"a movie\", \"30 minutes\"], \"text_template_based\": \"I watched a movie for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/29?\", \"30 minutes\"], [\"what did I watch on tv on 2016/11/29?\", \"a movie\"], [\"Did I watch tv on 2016/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/08\": {\"dating\": {\"eid\": \"e9220\", \"logical_representation\": [\"2016/12/08\", \"Emilia\", \"a restaurant\"], \"text_template_based\": \"On 2016/12/08, I took Emilia on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/12/08\", \"Emilia\"], [\"where did I go for the date on 2016/12/08\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10550\", \"logical_representation\": [\"2016/12/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/12/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10551\", \"logical_representation\": [\"2016/12/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Emily\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10552\", \"logical_representation\": [\"2016/12/08\", \"lunch\", \"pasta\", \"Kinsley, Olivia, Eva, Rylee, Hazel, Nora, Lydia, Nevaeh, Piper, Piper, Avery, Layla, Claire\"], \"text_template_based\": \"I had pasta for lunch with Kinsley, Olivia, Eva, Rylee, Hazel, Nora, Lydia, Nevaeh, Piper, Piper, Avery, Layla, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/12/08?\", \"Kinsley, Olivia, Eva, Rylee, Hazel, Nora, Lydia, Nevaeh, Piper, Piper, Avery, Layla, Claire\"], [\"what did I eat for lunch on 2016/12/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10553\", \"logical_representation\": [\"2016/12/08\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/12/08?\", \"Kayden\"], [\"what did I eat for dinner on 2016/12/08\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2016/12/06\": {\"hobbies\": {\"eid\": \"e9221\", \"logical_representation\": [\"2016/12/06\", \"I spent time working out on 2016/12/06 with Nevaeh.\", \"working out\", \"Nevaeh\"], \"text_template_based\": \"I spent time working out on 2016/12/06 with Nevaeh.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Nevaeh?\", \"2016/12/06\"], [\"On 2016/12/06, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2016/12/06?\", \"Nevaeh\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10544\", \"logical_representation\": [\"2016/12/06\", \"social media\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/12/06?\", \"41 minutes\"], [\"what did I read on 2016/12/06?\", \"social media\"], [\"Did I read on 2016/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10545\", \"logical_representation\": [\"2016/12/06\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/06?\", \"35 minutes\"], [\"what did I watch on tv on 2016/12/06?\", \"a tv series\"], [\"Did I watch tv on 2016/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/02\": {\"grocery\": {\"eid\": \"e9222\", \"logical_representation\": [\"2016/12/02\", \"I went grocery shopping. I bought some cherres, mangos, strawberries, pineapples, apple juice, milk, pineapple juice, mango juice, and mouthwash\", \"cherres, mangos, strawberries, pineapples\", \"apple juice, milk, pineapple juice, mango juice\", \"mouthwash\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some cherres, mangos, strawberries, pineapples, apple juice, milk, pineapple juice, mango juice, and mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/12/02?\", \"cherres, mangos, strawberries, pineapples, apple juice, milk, pineapple juice, mango juice, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2016/12/02?\", \"cherres, mangos, strawberries, pineapples\"], [\"what drinks did I buy from the grocery store on 2016/12/02?\", \"apple juice, milk, pineapple juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2016/12/02?\", \"mouthwash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10527\", \"logical_representation\": [\"2016/12/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Rylee, Avery, Lydia, Eva, Piper, Nora\"], \"text_template_based\": \"I had breakfast with Claire, Rylee, Avery, Lydia, Eva, Piper, Nora. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/12/02?\", \"Claire, Rylee, Avery, Lydia, Eva, Piper, Nora\"], [\"what did I eat for breakfast on 2016/12/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10528\", \"logical_representation\": [\"2016/12/02\", \"Kinsley, Nevaeh\", \"during lunch hours\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Kinsley, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh during lunch hours on 2016/12/02?\", \"16 minutes\"], [\"who did I talk to on 2016/12/02?\", \"Kinsley, Nevaeh\"], [\"Did I talk to Kinsley, Nevaeh on 2016/12/02?\", \"yes\"], [\"Did I talk to anyone on 2016/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10529\", \"logical_representation\": [\"2016/12/02\", \"Claire, Lydia\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Claire, Lydia for 34 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia in the early afternoon on 2016/12/02?\", \"34 minutes\"], [\"who did I talk to on 2016/12/02?\", \"Claire, Lydia\"], [\"Did I talk to Claire, Lydia on 2016/12/02?\", \"yes\"], [\"Did I talk to anyone on 2016/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10530\", \"logical_representation\": [\"2016/12/02\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/12/02?\", \"32 minutes\"], [\"what did I read on 2016/12/02?\", \"social media\"], [\"Did I read on 2016/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/05\": {\"grocery\": {\"eid\": \"e9223\", \"logical_representation\": [\"2016/12/05\", \"I went grocery shopping. I bought some blackberries, raspberries, mandarins, apple juice, and mouthwash, shampoo, toothbrush\", \"blackberries, raspberries, mandarins\", \"apple juice\", \"mouthwash, shampoo, toothbrush\", \"Kinsley, Hazel, Nevaeh, Olivia, Piper, Lydia, Avery, Nora, Eva, Piper, Layla, Rylee, Claire\"], \"text_template_based\": \"I went grocery shopping. I bought some blackberries, raspberries, mandarins, apple juice, and mouthwash, shampoo, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/12/05?\", \"blackberries, raspberries, mandarins, apple juice, and mouthwash, shampoo, toothbrush\"], [\"what fruits did I buy from the grocery store on 2016/12/05?\", \"blackberries, raspberries, mandarins\"], [\"what drinks did I buy from the grocery store on 2016/12/05?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2016/12/05?\", \"mouthwash, shampoo, toothbrush\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10541\", \"logical_representation\": [\"2016/12/05\", \"dinner\", \"indian food\", \"Piper, Olivia, Layla, Kinsley, Rylee, Lydia, Piper\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10542\", \"logical_representation\": [\"2016/12/05\", \"Eva, Lydia, Nora, Claire\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Eva, Lydia, Nora, Claire for 10 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Nora, Claire late in the evening on 2016/12/05?\", \"10 minutes\"], [\"who did I talk to on 2016/12/05?\", \"Eva, Lydia, Nora, Claire\"], [\"Did I talk to Eva, Lydia, Nora, Claire on 2016/12/05?\", \"yes\"], [\"Did I talk to anyone on 2016/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10543\", \"logical_representation\": [\"2016/12/05\", \"Eva\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Eva for 53 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2016/12/05?\", \"53 minutes\"], [\"who did I talk to on 2016/12/05?\", \"Eva\"], [\"Did I talk to Eva on 2016/12/05?\", \"yes\"], [\"Did I talk to anyone on 2016/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/11\": {\"dating\": {\"eid\": \"e9224\", \"logical_representation\": [\"2016/12/11\", \"Aiden\", \"a boba shop\"], \"text_template_based\": \"On 2016/12/11, I took Aiden on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/12/11\", \"Aiden\"], [\"where did I go for the date on 2016/12/11\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e9225\", \"logical_representation\": [\"2016/12/11\", \"I bought some nectarines, mandarins, oranges, pineapple juice, milk, toothpaste, mouth wash, shaving cream, body lotion from the grocery store. I saw Emily at the grocery store.\", \"nectarines, mandarins, oranges\", \"pineapple juice, milk\", \"toothpaste, mouth wash, shaving cream, body lotion\", \"Emily\"], \"text_template_based\": \"I bought some nectarines, mandarins, oranges, pineapple juice, milk, toothpaste, mouth wash, shaving cream, body lotion from the grocery store. I saw Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/12/11?\", \"nectarines, mandarins, oranges, pineapple juice, milk, and toothpaste, mouth wash, shaving cream, body lotion\"], [\"what fruits did I buy from the grocery store on 2016/12/11?\", \"nectarines, mandarins, oranges\"], [\"what drinks did I buy from the grocery store on 2016/12/11?\", \"pineapple juice, milk\"], [\"what toiletries did I buy from the grocery store on 2016/12/11?\", \"toothpaste, mouth wash, shaving cream, body lotion\"], [\"who did I see at the grocery store on 2016/12/11?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10562\", \"logical_representation\": [\"2016/12/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Emily, Carter, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/12/11?\", \"Emily, Carter, Andrew, Kayden\"], [\"what did I eat for breakfast on 2016/12/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10563\", \"logical_representation\": [\"2016/12/11\", \"dinner\", \"fish and chips\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10564\", \"logical_representation\": [\"2016/12/11\", \"Nevaeh, Layla, Piper, Eva\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Layla, Piper, Eva for 7 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Piper, Eva in the late afternoon on 2016/12/11?\", \"7 minutes\"], [\"who did I talk to on 2016/12/11?\", \"Nevaeh, Layla, Piper, Eva\"], [\"Did I talk to Nevaeh, Layla, Piper, Eva on 2016/12/11?\", \"yes\"], [\"Did I talk to anyone on 2016/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10565\", \"logical_representation\": [\"2016/12/11\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/12/11?\", \"16 minutes\"], [\"what did I read on 2016/12/11?\", \"news\"], [\"Did I read on 2016/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10566\", \"logical_representation\": [\"2016/12/11\", \"news\", \"49 minutes\"], \"text_template_based\": \"I watched news for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/11?\", \"49 minutes\"], [\"what did I watch on tv on 2016/12/11?\", \"news\"], [\"Did I watch tv on 2016/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/15\": {\"grocery\": {\"eid\": \"e9226\", \"logical_representation\": [\"2016/12/15\", \"I went grocery shopping. I bought some bananas, oranges, apple juice, guava juice, mineral water, milk, and toilet paper, shampoo, mouthwash\", \"bananas, oranges\", \"apple juice, guava juice, mineral water, milk\", \"toilet paper, shampoo, mouthwash\", \"Layla, Nevaeh, Lydia, Rylee, Kinsley, Hazel, Piper, Olivia\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, oranges, apple juice, guava juice, mineral water, milk, and toilet paper, shampoo, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/12/15?\", \"bananas, oranges, apple juice, guava juice, mineral water, milk, and toilet paper, shampoo, mouthwash\"], [\"what fruits did I buy from the grocery store on 2016/12/15?\", \"bananas, oranges\"], [\"what drinks did I buy from the grocery store on 2016/12/15?\", \"apple juice, guava juice, mineral water, milk\"], [\"what toiletries did I buy from the grocery store on 2016/12/15?\", \"toilet paper, shampoo, mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10582\", \"logical_representation\": [\"2016/12/15\", \"running\"], \"text_template_based\": \"I did running on 2016/12/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10583\", \"logical_representation\": [\"2016/12/15\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10584\", \"logical_representation\": [\"2016/12/15\", \"dinner\", \"tacos\", \"Nora, Hazel, Piper, Olivia, Avery, Claire, Eva, Piper, Layla, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10585\", \"logical_representation\": [\"2016/12/15\", \"Olivia, Lydia, Avery\", \"in the morning\", \"36 minutes\"], \"text_template_based\": \"I talked to Olivia, Lydia, Avery for 36 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia, Avery in the morning on 2016/12/15?\", \"36 minutes\"], [\"who did I talk to on 2016/12/15?\", \"Olivia, Lydia, Avery\"], [\"Did I talk to Olivia, Lydia, Avery on 2016/12/15?\", \"yes\"], [\"Did I talk to anyone on 2016/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10586\", \"logical_representation\": [\"2016/12/15\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/12/15?\", \"9 minutes\"], [\"what did I read on 2016/12/15?\", \"social media\"], [\"Did I read on 2016/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10587\", \"logical_representation\": [\"2016/12/15\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/15?\", \"49 minutes\"], [\"what did I watch on tv on 2016/12/15?\", \"a tv series\"], [\"Did I watch tv on 2016/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/16\": {\"cook\": {\"eid\": \"e9227\", \"logical_representation\": [\"2016/12/16\", \"I really enjoyed cooking split pea soup with ham & jalapeno on 2016/12/16 with Jackson at my place\", \"cook\", \"split pea soup with ham & jalapeno\", \"Jackson\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking split pea soup with ham & jalapeno on 2016/12/16 with Jackson at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  split pea soup with ham & jalapeno with Jackson?\", \"2016/12/16\"], [\"what did I  on 2016/12/16?\", \"split pea soup with ham & jalapeno\"], [\"who was I with when I  split pea soup with ham & jalapeno on 2016/12/16?\", \"Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10588\", \"logical_representation\": [\"2016/12/16\", \"breakfast\", \"oatmeal\", \"Emily, Kayden\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10589\", \"logical_representation\": [\"2016/12/16\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/12/16?\", \"37 minutes\"], [\"what did I read on 2016/12/16?\", \"social media\"], [\"Did I read on 2016/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10590\", \"logical_representation\": [\"2016/12/16\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I watched a movie for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/16?\", \"13 minutes\"], [\"what did I watch on tv on 2016/12/16?\", \"a movie\"], [\"Did I watch tv on 2016/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/22\": {\"dating\": {\"eid\": \"e9228\", \"logical_representation\": [\"2016/12/22\", \"Sebastian\", \"a park\"], \"text_template_based\": \"I went on a date with Sebastian on 2016/12/22 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/12/22\", \"Sebastian\"], [\"where did I go for the date on 2016/12/22\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10611\", \"logical_representation\": [\"2016/12/22\", \"running\"], \"text_template_based\": \"I did running on 2016/12/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10612\", \"logical_representation\": [\"2016/12/22\", \"lunch\", \"a burger\", \"Hazel, Lydia, Piper, Nevaeh, Olivia\"], \"text_template_based\": \"I had lunch with Hazel, Lydia, Piper, Nevaeh, Olivia. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/12/22?\", \"Hazel, Lydia, Piper, Nevaeh, Olivia\"], [\"what did I eat for lunch on 2016/12/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10613\", \"logical_representation\": [\"2016/12/22\", \"dinner\", \"sandwich\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10614\", \"logical_representation\": [\"2016/12/22\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I watched a tv series for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/22?\", \"37 minutes\"], [\"what did I watch on tv on 2016/12/22?\", \"a tv series\"], [\"Did I watch tv on 2016/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/20\": {\"hobbies\": {\"eid\": \"e9229\", \"logical_representation\": [\"2016/12/20\", \"I spent some time meditation on 2016/12/20.\", \"meditation\", \"Kayden, Carter\"], \"text_template_based\": \"I spent some time meditation on 2016/12/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2016/12/20\"], [\"On 2016/12/20, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10602\", \"logical_representation\": [\"2016/12/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/12/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10603\", \"logical_representation\": [\"2016/12/20\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/20\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10604\", \"logical_representation\": [\"2016/12/20\", \"Olivia, Eva, Hazel, Kinsley\", \"in the morning\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Olivia, Eva, Hazel, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva, Hazel, Kinsley in the morning on 2016/12/20?\", \"10 minutes\"], [\"who did I talk to on 2016/12/20?\", \"Olivia, Eva, Hazel, Kinsley\"], [\"Did I talk to Olivia, Eva, Hazel, Kinsley on 2016/12/20?\", \"yes\"], [\"Did I talk to anyone on 2016/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10605\", \"logical_representation\": [\"2016/12/20\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/12/20?\", \"38 minutes\"], [\"what did I read on 2016/12/20?\", \"a book\"], [\"Did I read on 2016/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10606\", \"logical_representation\": [\"2016/12/20\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/20?\", \"12 minutes\"], [\"what did I watch on tv on 2016/12/20?\", \"a movie\"], [\"Did I watch tv on 2016/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/17\": {\"grocery\": {\"eid\": \"e9230\", \"logical_representation\": [\"2016/12/17\", \"I bought some peaches, pineapples, apple juice, shaving cream, shampoo from the grocery store. I saw Kayden at the grocery store.\", \"peaches, pineapples\", \"apple juice\", \"shaving cream, shampoo\", \"Kayden\"], \"text_template_based\": \"I bought some peaches, pineapples, apple juice, shaving cream, shampoo from the grocery store. I saw Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/12/17?\", \"peaches, pineapples, apple juice, and shaving cream, shampoo\"], [\"what fruits did I buy from the grocery store on 2016/12/17?\", \"peaches, pineapples\"], [\"what drinks did I buy from the grocery store on 2016/12/17?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2016/12/17?\", \"shaving cream, shampoo\"], [\"who did I see at the grocery store on 2016/12/17?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10591\", \"logical_representation\": [\"2016/12/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/12/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10592\", \"logical_representation\": [\"2016/12/17\", \"breakfast\", \"oatmeal\", \"Avery, Claire, Piper, Eva, Hazel\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/17\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2016/01/02\": {\"social media\": {\"eid\": \"e9235\", \"logical_representation\": [\"2016/01/02\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/01/02?\", \"39 minutes\"], [\"what did I read on 2016/01/02?\", \"social media\"], [\"Did I read on 2016/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9236\", \"logical_representation\": [\"2016/01/02\", \"a movie\", \"34 minutes\"], \"text_template_based\": \"I watched a movie for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/02?\", \"34 minutes\"], [\"what did I watch on tv on 2016/01/02?\", \"a movie\"], [\"Did I watch tv on 2016/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/03\": {\"exercise\": {\"eid\": \"e9237\", \"logical_representation\": [\"2016/01/03\", \"running\"], \"text_template_based\": \"I did running on 2016/01/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9238\", \"logical_representation\": [\"2016/01/03\", \"dinner\", \"steak\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had steak for dinner with Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/01/03?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for dinner on 2016/01/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9239\", \"logical_representation\": [\"2016/01/03\", \"Rylee, Nora, Layla, Avery\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Rylee, Nora, Layla, Avery for 17 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Layla, Avery in the early evening on 2016/01/03?\", \"17 minutes\"], [\"who did I talk to on 2016/01/03?\", \"Rylee, Nora, Layla, Avery\"], [\"Did I talk to Rylee, Nora, Layla, Avery on 2016/01/03?\", \"yes\"], [\"Did I talk to anyone on 2016/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9240\", \"logical_representation\": [\"2016/01/03\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/01/03?\", \"34 minutes\"], [\"what did I read on 2016/01/03?\", \"news\"], [\"Did I read on 2016/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/04\": {\"chat0\": {\"eid\": \"e9241\", \"logical_representation\": [\"2016/01/04\", \"Rylee, Lydia\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Rylee, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia late in the evening on 2016/01/04?\", \"32 minutes\"], [\"who did I talk to on 2016/01/04?\", \"Rylee, Lydia\"], [\"Did I talk to Rylee, Lydia on 2016/01/04?\", \"yes\"], [\"Did I talk to anyone on 2016/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/05\": {\"breakfast\": {\"eid\": \"e9242\", \"logical_representation\": [\"2016/01/05\", \"breakfast\", \"cereals\", \"Layla, Olivia, Kinsley, Nevaeh, Eva, Piper, Avery, Nora, Hazel, Lydia, Piper\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/05\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9243\", \"logical_representation\": [\"2016/01/05\", \"dinner\", \"fish and chips\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/01/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9244\", \"logical_representation\": [\"2016/01/05\", \"Piper, Avery\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Piper, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery late in the evening on 2016/01/05?\", \"21 minutes\"], [\"who did I talk to on 2016/01/05?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2016/01/05?\", \"yes\"], [\"Did I talk to anyone on 2016/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9245\", \"logical_representation\": [\"2016/01/05\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/05?\", \"25 minutes\"], [\"what did I watch on tv on 2016/01/05?\", \"a documentary\"], [\"Did I watch tv on 2016/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/06\": {\"breakfast\": {\"eid\": \"e9246\", \"logical_representation\": [\"2016/01/06\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9247\", \"logical_representation\": [\"2016/01/06\", \"dinner\", \"indian food\", \"Piper, Nevaeh, Eva, Claire, Kinsley, Layla, Hazel\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/01/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9248\", \"logical_representation\": [\"2016/01/06\", \"Lydia\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2016/01/06?\", \"27 minutes\"], [\"who did I talk to on 2016/01/06?\", \"Lydia\"], [\"Did I talk to Lydia on 2016/01/06?\", \"yes\"], [\"Did I talk to anyone on 2016/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9249\", \"logical_representation\": [\"2016/01/06\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/01/06?\", \"10 minutes\"], [\"what did I read on 2016/01/06?\", \"a book\"], [\"Did I read on 2016/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9250\", \"logical_representation\": [\"2016/01/06\", \"news\", \"10 minutes\"], \"text_template_based\": \"I watched news for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/06?\", \"10 minutes\"], [\"what did I watch on tv on 2016/01/06?\", \"news\"], [\"Did I watch tv on 2016/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/07\": {\"breakfast\": {\"eid\": \"e9251\", \"logical_representation\": [\"2016/01/07\", \"breakfast\", \"toast and cheese\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9252\", \"logical_representation\": [\"2016/01/07\", \"lunch\", \"a burger\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/01/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9253\", \"logical_representation\": [\"2016/01/07\", \"Layla\", \"in the morning\", \"42 minutes\"], \"text_template_based\": \"I talked to Layla for 42 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2016/01/07?\", \"42 minutes\"], [\"who did I talk to on 2016/01/07?\", \"Layla\"], [\"Did I talk to Layla on 2016/01/07?\", \"yes\"], [\"Did I talk to anyone on 2016/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9254\", \"logical_representation\": [\"2016/01/07\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/07?\", \"31 minutes\"], [\"what did I watch on tv on 2016/01/07?\", \"news\"], [\"Did I watch tv on 2016/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/08\": {\"exercise\": {\"eid\": \"e9255\", \"logical_representation\": [\"2016/01/08\", \"running\"], \"text_template_based\": \"I did running on 2016/01/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9256\", \"logical_representation\": [\"2016/01/08\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Benjamin, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/01/08?\", \"Benjamin, Avery, Willow\"], [\"what did I eat for breakfast on 2016/01/08\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9257\", \"logical_representation\": [\"2016/01/08\", \"lunch\", \"indian food\", \"Willow\"], \"text_template_based\": \"I had indian food for lunch with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/01/08?\", \"Willow\"], [\"what did I eat for lunch on 2016/01/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9258\", \"logical_representation\": [\"2016/01/08\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/01/08?\", \"35 minutes\"], [\"what did I read on 2016/01/08?\", \"social media\"], [\"Did I read on 2016/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/09\": {\"breakfast\": {\"eid\": \"e9259\", \"logical_representation\": [\"2016/01/09\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Avery, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/01/09?\", \"Avery, Willow, Benjamin\"], [\"what did I eat for breakfast on 2016/01/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9260\", \"logical_representation\": [\"2016/01/09\", \"lunch\", \"a burger\", \"Olivia, Lydia, Hazel, Nora, Nevaeh, Avery, Layla, Eva, Kinsley\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/01/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9261\", \"logical_representation\": [\"2016/01/09\", \"dinner\", \"chinese food\", \"Lydia, Hazel, Kinsley, Nevaeh, Nora, Avery, Rylee\"], \"text_template_based\": \"I had chinese food for dinner with Lydia, Hazel, Kinsley, Nevaeh, Nora, Avery, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/01/09?\", \"Lydia, Hazel, Kinsley, Nevaeh, Nora, Avery, Rylee\"], [\"what did I eat for dinner on 2016/01/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2016/01/10\": {\"exercise\": {\"eid\": \"e9262\", \"logical_representation\": [\"2016/01/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/01/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9263\", \"logical_representation\": [\"2016/01/10\", \"lunch\", \"steak\", \"Rylee, Avery, Piper, Nora, Layla, Piper, Hazel, Claire, Eva, Lydia, Olivia, Kinsley, Nevaeh\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/01/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9264\", \"logical_representation\": [\"2016/01/10\", \"dinner\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had chinese food for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/01/10?\", \"Emily\"], [\"what did I eat for dinner on 2016/01/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9265\", \"logical_representation\": [\"2016/01/10\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/01/10?\", \"30 minutes\"], [\"what did I read on 2016/01/10?\", \"news\"], [\"Did I read on 2016/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/11\": {\"dinner\": {\"eid\": \"e9266\", \"logical_representation\": [\"2016/01/11\", \"dinner\", \"indian food\", \"Kayden, Andrew\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/01/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9267\", \"logical_representation\": [\"2016/01/11\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/11?\", \"17 minutes\"], [\"what did I watch on tv on 2016/01/11?\", \"a movie\"], [\"Did I watch tv on 2016/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/12\": {\"lunch\": {\"eid\": \"e9268\", \"logical_representation\": [\"2016/01/12\", \"lunch\", \"tacos\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had tacos for lunch with Benjamin, Willow, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/01/12?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for lunch on 2016/01/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9269\", \"logical_representation\": [\"2016/01/12\", \"Nevaeh\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early afternoon on 2016/01/12?\", \"34 minutes\"], [\"who did I talk to on 2016/01/12?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2016/01/12?\", \"yes\"], [\"Did I talk to anyone on 2016/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9270\", \"logical_representation\": [\"2016/01/12\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/01/12?\", \"11 minutes\"], [\"what did I read on 2016/01/12?\", \"news\"], [\"Did I read on 2016/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/15\": {\"breakfast\": {\"eid\": \"e9277\", \"logical_representation\": [\"2016/01/15\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Nevaeh, Eva, Nora, Claire\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9278\", \"logical_representation\": [\"2016/01/15\", \"dinner\", \"chinese food\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/01/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9279\", \"logical_representation\": [\"2016/01/15\", \"Hazel\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Hazel for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2016/01/15?\", \"36 minutes\"], [\"who did I talk to on 2016/01/15?\", \"Hazel\"], [\"Did I talk to Hazel on 2016/01/15?\", \"yes\"], [\"Did I talk to anyone on 2016/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9280\", \"logical_representation\": [\"2016/01/15\", \"Nevaeh\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early afternoon on 2016/01/15?\", \"36 minutes\"], [\"who did I talk to on 2016/01/15?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2016/01/15?\", \"yes\"], [\"Did I talk to anyone on 2016/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9281\", \"logical_representation\": [\"2016/01/15\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I watched a movie for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/15?\", \"45 minutes\"], [\"what did I watch on tv on 2016/01/15?\", \"a movie\"], [\"Did I watch tv on 2016/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/16\": {\"exercise\": {\"eid\": \"e9282\", \"logical_representation\": [\"2016/01/16\", \"biking\"], \"text_template_based\": \"I did biking on 2016/01/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9283\", \"logical_representation\": [\"2016/01/16\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/16\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9284\", \"logical_representation\": [\"2016/01/16\", \"a tv series\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/16?\", \"45 minutes\"], [\"what did I watch on tv on 2016/01/16?\", \"a tv series\"], [\"Did I watch tv on 2016/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/17\": {\"exercise\": {\"eid\": \"e9285\", \"logical_representation\": [\"2016/01/17\", \"biking\"], \"text_template_based\": \"I did biking on 2016/01/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9286\", \"logical_representation\": [\"2016/01/17\", \"dinner\", \"chinese food\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/01/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9287\", \"logical_representation\": [\"2016/01/17\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/01/17?\", \"37 minutes\"], [\"what did I read on 2016/01/17?\", \"a book\"], [\"Did I read on 2016/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/18\": {\"exercise\": {\"eid\": \"e9288\", \"logical_representation\": [\"2016/01/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/01/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9289\", \"logical_representation\": [\"2016/01/18\", \"Lydia, Claire, Olivia, Nevaeh\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I talked to Lydia, Claire, Olivia, Nevaeh for 7 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Olivia, Nevaeh in the morning on 2016/01/18?\", \"7 minutes\"], [\"who did I talk to on 2016/01/18?\", \"Lydia, Claire, Olivia, Nevaeh\"], [\"Did I talk to Lydia, Claire, Olivia, Nevaeh on 2016/01/18?\", \"yes\"], [\"Did I talk to anyone on 2016/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/20\": {\"exercise\": {\"eid\": \"e9294\", \"logical_representation\": [\"2016/01/20\", \"biking\"], \"text_template_based\": \"I did biking on 2016/01/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9295\", \"logical_representation\": [\"2016/01/20\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/01/20?\", \"35 minutes\"], [\"what did I read on 2016/01/20?\", \"news\"], [\"Did I read on 2016/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9296\", \"logical_representation\": [\"2016/01/20\", \"news\", \"20 minutes\"], \"text_template_based\": \"I watched news for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/20?\", \"20 minutes\"], [\"what did I watch on tv on 2016/01/20?\", \"news\"], [\"Did I watch tv on 2016/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/21\": {\"breakfast\": {\"eid\": \"e9297\", \"logical_representation\": [\"2016/01/21\", \"breakfast\", \"toast and cheese\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9298\", \"logical_representation\": [\"2016/01/21\", \"lunch\", \"pasta\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/01/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9299\", \"logical_representation\": [\"2016/01/21\", \"dinner\", \"sandwich\", \"Kinsley, Nevaeh, Claire, Eva, Layla, Lydia, Avery, Piper, Piper, Hazel, Nora\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/01/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9300\", \"logical_representation\": [\"2016/01/21\", \"Piper, Nevaeh\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Piper, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh late in the evening on 2016/01/21?\", \"12 minutes\"], [\"who did I talk to on 2016/01/21?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2016/01/21?\", \"yes\"], [\"Did I talk to anyone on 2016/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/23\": {\"breakfast\": {\"eid\": \"e9307\", \"logical_representation\": [\"2016/01/23\", \"breakfast\", \"cereals\", \"Hazel, Eva, Piper\"], \"text_template_based\": \"I had breakfast with Hazel, Eva, Piper. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/01/23?\", \"Hazel, Eva, Piper\"], [\"what did I eat for breakfast on 2016/01/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9308\", \"logical_representation\": [\"2016/01/23\", \"dinner\", \"a burger\", \"Piper, Claire, Nora, Lydia, Piper\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/01/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9309\", \"logical_representation\": [\"2016/01/23\", \"Claire, Lydia, Hazel, Avery\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Claire, Lydia, Hazel, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Hazel, Avery late in the evening on 2016/01/23?\", \"29 minutes\"], [\"who did I talk to on 2016/01/23?\", \"Claire, Lydia, Hazel, Avery\"], [\"Did I talk to Claire, Lydia, Hazel, Avery on 2016/01/23?\", \"yes\"], [\"Did I talk to anyone on 2016/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/24\": {\"breakfast\": {\"eid\": \"e9310\", \"logical_representation\": [\"2016/01/24\", \"breakfast\", \"toast and cheese\", \"Eva, Hazel, Kinsley, Rylee, Olivia, Piper, Avery, Claire\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9311\", \"logical_representation\": [\"2016/01/24\", \"lunch\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/01/24\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2016/01/25\": {\"exercise\": {\"eid\": \"e9312\", \"logical_representation\": [\"2016/01/25\", \"biking\"], \"text_template_based\": \"I did biking on 2016/01/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/25?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9313\", \"logical_representation\": [\"2016/01/25\", \"breakfast\", \"toast and cheese\", \"Claire, Piper\"], \"text_template_based\": \"I had toast and cheese for breakfast with Claire, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/01/25?\", \"Claire, Piper\"], [\"what did I eat for breakfast on 2016/01/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9314\", \"logical_representation\": [\"2016/01/25\", \"Rylee, Olivia, Piper, Avery\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Rylee, Olivia, Piper, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia, Piper, Avery in the late afternoon on 2016/01/25?\", \"43 minutes\"], [\"who did I talk to on 2016/01/25?\", \"Rylee, Olivia, Piper, Avery\"], [\"Did I talk to Rylee, Olivia, Piper, Avery on 2016/01/25?\", \"yes\"], [\"Did I talk to anyone on 2016/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9315\", \"logical_representation\": [\"2016/01/25\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/01/25?\", \"55 minutes\"], [\"what did I read on 2016/01/25?\", \"social media\"], [\"Did I read on 2016/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9316\", \"logical_representation\": [\"2016/01/25\", \"a documentary\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/25?\", \"5 minutes\"], [\"what did I watch on tv on 2016/01/25?\", \"a documentary\"], [\"Did I watch tv on 2016/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/27\": {\"breakfast\": {\"eid\": \"e9321\", \"logical_representation\": [\"2016/01/27\", \"breakfast\", \"cereals\", \"Claire, Piper, Nevaeh, Avery\"], \"text_template_based\": \"I had cereals for breakfast with Claire, Piper, Nevaeh, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/01/27?\", \"Claire, Piper, Nevaeh, Avery\"], [\"what did I eat for breakfast on 2016/01/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9322\", \"logical_representation\": [\"2016/01/27\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/01/27?\", \"Emily\"], [\"what did I eat for lunch on 2016/01/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9323\", \"logical_representation\": [\"2016/01/27\", \"news\", \"39 minutes\"], \"text_template_based\": \"I watched news for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/27?\", \"39 minutes\"], [\"what did I watch on tv on 2016/01/27?\", \"news\"], [\"Did I watch tv on 2016/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/28\": {\"exercise\": {\"eid\": \"e9324\", \"logical_representation\": [\"2016/01/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/01/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9325\", \"logical_representation\": [\"2016/01/28\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had pancakes for breakfast with Emily, Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/01/28?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2016/01/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9326\", \"logical_representation\": [\"2016/01/28\", \"lunch\", \"tacos\", \"Nevaeh, Piper, Nora\"], \"text_template_based\": \"I had tacos for lunch with Nevaeh, Piper, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/01/28?\", \"Nevaeh, Piper, Nora\"], [\"what did I eat for lunch on 2016/01/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9327\", \"logical_representation\": [\"2016/01/28\", \"Nevaeh, Hazel\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Nevaeh, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel in the late afternoon on 2016/01/28?\", \"34 minutes\"], [\"who did I talk to on 2016/01/28?\", \"Nevaeh, Hazel\"], [\"Did I talk to Nevaeh, Hazel on 2016/01/28?\", \"yes\"], [\"Did I talk to anyone on 2016/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9328\", \"logical_representation\": [\"2016/01/28\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/28?\", \"54 minutes\"], [\"what did I watch on tv on 2016/01/28?\", \"news\"], [\"Did I watch tv on 2016/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/29\": {\"breakfast\": {\"eid\": \"e9329\", \"logical_representation\": [\"2016/01/29\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Kayden, Emily. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/01/29?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2016/01/29\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9330\", \"logical_representation\": [\"2016/01/29\", \"lunch\", \"sandwich\", \"Olivia, Kinsley, Lydia, Claire, Eva, Hazel, Nevaeh, Rylee\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/01/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9331\", \"logical_representation\": [\"2016/01/29\", \"dinner\", \"a burger\", \"Andrew, Emily\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/01/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9332\", \"logical_representation\": [\"2016/01/29\", \"Piper, Eva, Avery\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Avery for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Avery late in the evening on 2016/01/29?\", \"18 minutes\"], [\"who did I talk to on 2016/01/29?\", \"Piper, Eva, Avery\"], [\"Did I talk to Piper, Eva, Avery on 2016/01/29?\", \"yes\"], [\"Did I talk to anyone on 2016/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9333\", \"logical_representation\": [\"2016/01/29\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/01/29?\", \"45 minutes\"], [\"what did I read on 2016/01/29?\", \"news\"], [\"Did I read on 2016/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9334\", \"logical_representation\": [\"2016/01/29\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/29?\", \"18 minutes\"], [\"what did I watch on tv on 2016/01/29?\", \"a tv series\"], [\"Did I watch tv on 2016/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/31\": {\"dinner\": {\"eid\": \"e9342\", \"logical_representation\": [\"2016/01/31\", \"dinner\", \"chinese food\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Willow, Jackson. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/01/31?\", \"Benjamin, Willow, Jackson\"], [\"what did I eat for dinner on 2016/01/31\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9343\", \"logical_representation\": [\"2016/01/31\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/01/31?\", \"24 minutes\"], [\"what did I read on 2016/01/31?\", \"a book\"], [\"Did I read on 2016/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/01\": {\"exercise\": {\"eid\": \"e9344\", \"logical_representation\": [\"2016/02/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/02/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9345\", \"logical_representation\": [\"2016/02/01\", \"lunch\", \"a burger\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/02/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9346\", \"logical_representation\": [\"2016/02/01\", \"dinner\", \"chinese food\", \"Nora, Piper, Olivia, Lydia, Nevaeh, Piper, Hazel, Eva, Kinsley, Claire, Layla, Rylee\"], \"text_template_based\": \"I had chinese food for dinner with Nora, Piper, Olivia, Lydia, Nevaeh, Piper, Hazel, Eva, Kinsley, Claire, Layla, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/02/01?\", \"Nora, Piper, Olivia, Lydia, Nevaeh, Piper, Hazel, Eva, Kinsley, Claire, Layla, Rylee\"], [\"what did I eat for dinner on 2016/02/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9347\", \"logical_representation\": [\"2016/02/01\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/01?\", \"27 minutes\"], [\"what did I watch on tv on 2016/02/01?\", \"a tv series\"], [\"Did I watch tv on 2016/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/04\": {\"exercise\": {\"eid\": \"e9357\", \"logical_representation\": [\"2016/02/04\", \"biking\"], \"text_template_based\": \"I did biking on 2016/02/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9358\", \"logical_representation\": [\"2016/02/04\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/02/04\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9359\", \"logical_representation\": [\"2016/02/04\", \"lunch\", \"a burger\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/02/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9360\", \"logical_representation\": [\"2016/02/04\", \"dinner\", \"fish and chips\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/02/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9361\", \"logical_representation\": [\"2016/02/04\", \"Claire, Nora, Kinsley\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Kinsley for 54 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Kinsley during lunch hours on 2016/02/04?\", \"54 minutes\"], [\"who did I talk to on 2016/02/04?\", \"Claire, Nora, Kinsley\"], [\"Did I talk to Claire, Nora, Kinsley on 2016/02/04?\", \"yes\"], [\"Did I talk to anyone on 2016/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9362\", \"logical_representation\": [\"2016/02/04\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/04?\", \"8 minutes\"], [\"what did I watch on tv on 2016/02/04?\", \"a tv series\"], [\"Did I watch tv on 2016/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/06\": {\"breakfast\": {\"eid\": \"e9366\", \"logical_representation\": [\"2016/02/06\", \"breakfast\", \"toast and cheese\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/02/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9367\", \"logical_representation\": [\"2016/02/06\", \"Piper\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Piper for 10 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2016/02/06?\", \"10 minutes\"], [\"who did I talk to on 2016/02/06?\", \"Piper\"], [\"Did I talk to Piper on 2016/02/06?\", \"yes\"], [\"Did I talk to anyone on 2016/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9368\", \"logical_representation\": [\"2016/02/06\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/02/06?\", \"38 minutes\"], [\"what did I read on 2016/02/06?\", \"a book\"], [\"Did I read on 2016/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/09\": {\"exercise\": {\"eid\": \"e9378\", \"logical_representation\": [\"2016/02/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/02/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9379\", \"logical_representation\": [\"2016/02/09\", \"lunch\", \"tacos\", \"Hazel, Olivia, Avery, Nevaeh, Nora, Layla, Lydia, Piper, Rylee, Eva, Claire, Kinsley, Piper\"], \"text_template_based\": \"I had lunch with Hazel, Olivia, Avery, Nevaeh, Nora, Layla, Lydia, Piper, Rylee, Eva, Claire, Kinsley, Piper. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/02/09?\", \"Hazel, Olivia, Avery, Nevaeh, Nora, Layla, Lydia, Piper, Rylee, Eva, Claire, Kinsley, Piper\"], [\"what did I eat for lunch on 2016/02/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9380\", \"logical_representation\": [\"2016/02/09\", \"dinner\", \"a burger\", \"Kinsley, Nevaeh, Avery, Nora, Piper, Layla, Eva, Claire, Hazel, Lydia, Olivia, Rylee\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/02/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9381\", \"logical_representation\": [\"2016/02/09\", \"Nevaeh\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2016/02/09?\", \"9 minutes\"], [\"who did I talk to on 2016/02/09?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2016/02/09?\", \"yes\"], [\"Did I talk to anyone on 2016/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9382\", \"logical_representation\": [\"2016/02/09\", \"Kinsley\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Kinsley for 14 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2016/02/09?\", \"14 minutes\"], [\"who did I talk to on 2016/02/09?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2016/02/09?\", \"yes\"], [\"Did I talk to anyone on 2016/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9383\", \"logical_representation\": [\"2016/02/09\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/02/09?\", \"8 minutes\"], [\"what did I read on 2016/02/09?\", \"a book\"], [\"Did I read on 2016/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9384\", \"logical_representation\": [\"2016/02/09\", \"news\", \"6 minutes\"], \"text_template_based\": \"I watched news for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/09?\", \"6 minutes\"], [\"what did I watch on tv on 2016/02/09?\", \"news\"], [\"Did I watch tv on 2016/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/10\": {\"exercise\": {\"eid\": \"e9385\", \"logical_representation\": [\"2016/02/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/02/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9386\", \"logical_representation\": [\"2016/02/10\", \"Rylee, Kinsley, Nevaeh, Eva\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Rylee, Kinsley, Nevaeh, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Nevaeh, Eva during lunch hours on 2016/02/10?\", \"55 minutes\"], [\"who did I talk to on 2016/02/10?\", \"Rylee, Kinsley, Nevaeh, Eva\"], [\"Did I talk to Rylee, Kinsley, Nevaeh, Eva on 2016/02/10?\", \"yes\"], [\"Did I talk to anyone on 2016/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9387\", \"logical_representation\": [\"2016/02/10\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/02/10?\", \"31 minutes\"], [\"what did I read on 2016/02/10?\", \"social media\"], [\"Did I read on 2016/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/11\": {\"lunch\": {\"eid\": \"e9388\", \"logical_representation\": [\"2016/02/11\", \"lunch\", \"sushi\", \"Olivia, Hazel\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/02/11\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/02/12\": {\"exercise\": {\"eid\": \"e9389\", \"logical_representation\": [\"2016/02/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/02/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9390\", \"logical_representation\": [\"2016/02/12\", \"lunch\", \"pasta\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had lunch with Benjamin, Jackson. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/02/12?\", \"Benjamin, Jackson\"], [\"what did I eat for lunch on 2016/02/12\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2016/02/14\": {\"lunch\": {\"eid\": \"e9396\", \"logical_representation\": [\"2016/02/14\", \"lunch\", \"indian food\", \"Avery\"], \"text_template_based\": \"I had lunch with Avery. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/02/14?\", \"Avery\"], [\"what did I eat for lunch on 2016/02/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9397\", \"logical_representation\": [\"2016/02/14\", \"dinner\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/02/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9398\", \"logical_representation\": [\"2016/02/14\", \"Nora, Piper, Claire, Layla\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Nora, Piper, Claire, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Claire, Layla in the early evening on 2016/02/14?\", \"7 minutes\"], [\"who did I talk to on 2016/02/14?\", \"Nora, Piper, Claire, Layla\"], [\"Did I talk to Nora, Piper, Claire, Layla on 2016/02/14?\", \"yes\"], [\"Did I talk to anyone on 2016/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9399\", \"logical_representation\": [\"2016/02/14\", \"Avery, Kinsley, Nora\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Avery, Kinsley, Nora for 25 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley, Nora in the early afternoon on 2016/02/14?\", \"25 minutes\"], [\"who did I talk to on 2016/02/14?\", \"Avery, Kinsley, Nora\"], [\"Did I talk to Avery, Kinsley, Nora on 2016/02/14?\", \"yes\"], [\"Did I talk to anyone on 2016/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9400\", \"logical_representation\": [\"2016/02/14\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/14?\", \"37 minutes\"], [\"what did I watch on tv on 2016/02/14?\", \"news\"], [\"Did I watch tv on 2016/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/16\": {\"exercise\": {\"eid\": \"e9405\", \"logical_representation\": [\"2016/02/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/02/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9406\", \"logical_representation\": [\"2016/02/16\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/02/16?\", \"36 minutes\"], [\"what did I read on 2016/02/16?\", \"social media\"], [\"Did I read on 2016/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/17\": {\"exercise\": {\"eid\": \"e9407\", \"logical_representation\": [\"2016/02/17\", \"biking\"], \"text_template_based\": \"I did biking on 2016/02/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9408\", \"logical_representation\": [\"2016/02/17\", \"dinner\", \"a burger\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/02/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9409\", \"logical_representation\": [\"2016/02/17\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/17?\", \"20 minutes\"], [\"what did I watch on tv on 2016/02/17?\", \"a documentary\"], [\"Did I watch tv on 2016/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/18\": {\"chat0\": {\"eid\": \"e9410\", \"logical_representation\": [\"2016/02/18\", \"Nora\", \"in the early evening\", \"22 minutes\"], \"text_template_based\": \"I talked to Nora for 22 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2016/02/18?\", \"22 minutes\"], [\"who did I talk to on 2016/02/18?\", \"Nora\"], [\"Did I talk to Nora on 2016/02/18?\", \"yes\"], [\"Did I talk to anyone on 2016/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9411\", \"logical_representation\": [\"2016/02/18\", \"news\", \"16 minutes\"], \"text_template_based\": \"I watched news for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/18?\", \"16 minutes\"], [\"what did I watch on tv on 2016/02/18?\", \"news\"], [\"Did I watch tv on 2016/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/19\": {\"exercise\": {\"eid\": \"e9412\", \"logical_representation\": [\"2016/02/19\", \"running\"], \"text_template_based\": \"I did running on 2016/02/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9413\", \"logical_representation\": [\"2016/02/19\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/19?\", \"39 minutes\"], [\"what did I watch on tv on 2016/02/19?\", \"a documentary\"], [\"Did I watch tv on 2016/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/20\": {\"exercise\": {\"eid\": \"e9414\", \"logical_representation\": [\"2016/02/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/02/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9415\", \"logical_representation\": [\"2016/02/20\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/02/20?\", \"19 minutes\"], [\"what did I read on 2016/02/20?\", \"news\"], [\"Did I read on 2016/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9416\", \"logical_representation\": [\"2016/02/20\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I watched a movie for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/20?\", \"26 minutes\"], [\"what did I watch on tv on 2016/02/20?\", \"a movie\"], [\"Did I watch tv on 2016/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/21\": {\"exercise\": {\"eid\": \"e9417\", \"logical_representation\": [\"2016/02/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/02/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9418\", \"logical_representation\": [\"2016/02/21\", \"breakfast\", \"cereals\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/02/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9419\", \"logical_representation\": [\"2016/02/21\", \"Layla, Piper\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Layla, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper in the early afternoon on 2016/02/21?\", \"26 minutes\"], [\"who did I talk to on 2016/02/21?\", \"Layla, Piper\"], [\"Did I talk to Layla, Piper on 2016/02/21?\", \"yes\"], [\"Did I talk to anyone on 2016/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9420\", \"logical_representation\": [\"2016/02/21\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/21?\", \"9 minutes\"], [\"what did I watch on tv on 2016/02/21?\", \"news\"], [\"Did I watch tv on 2016/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/24\": {\"exercise\": {\"eid\": \"e9423\", \"logical_representation\": [\"2016/02/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/02/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9424\", \"logical_representation\": [\"2016/02/24\", \"dinner\", \"sandwich\", \"Willow\"], \"text_template_based\": \"I had dinner with Willow. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/02/24?\", \"Willow\"], [\"what did I eat for dinner on 2016/02/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9425\", \"logical_representation\": [\"2016/02/24\", \"Piper, Nevaeh, Kinsley\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Piper, Nevaeh, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Kinsley late in the evening on 2016/02/24?\", \"34 minutes\"], [\"who did I talk to on 2016/02/24?\", \"Piper, Nevaeh, Kinsley\"], [\"Did I talk to Piper, Nevaeh, Kinsley on 2016/02/24?\", \"yes\"], [\"Did I talk to anyone on 2016/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/28\": {\"exercise\": {\"eid\": \"e9435\", \"logical_representation\": [\"2016/02/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/02/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9436\", \"logical_representation\": [\"2016/02/28\", \"breakfast\", \"cereals\", \"Olivia, Eva, Lydia, Nevaeh, Kinsley, Avery, Hazel, Piper, Nora, Claire, Layla, Piper, Rylee\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/02/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9437\", \"logical_representation\": [\"2016/02/28\", \"Piper\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2016/02/28?\", \"28 minutes\"], [\"who did I talk to on 2016/02/28?\", \"Piper\"], [\"Did I talk to Piper on 2016/02/28?\", \"yes\"], [\"Did I talk to anyone on 2016/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9438\", \"logical_representation\": [\"2016/02/28\", \"a tv series\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/28?\", \"46 minutes\"], [\"what did I watch on tv on 2016/02/28?\", \"a tv series\"], [\"Did I watch tv on 2016/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/29\": {\"chat0\": {\"eid\": \"e9439\", \"logical_representation\": [\"2016/02/29\", \"Piper\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2016/02/29?\", \"52 minutes\"], [\"who did I talk to on 2016/02/29?\", \"Piper\"], [\"Did I talk to Piper on 2016/02/29?\", \"yes\"], [\"Did I talk to anyone on 2016/02/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9440\", \"logical_representation\": [\"2016/02/29\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/02/29?\", \"52 minutes\"], [\"what did I read on 2016/02/29?\", \"news\"], [\"Did I read on 2016/02/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9441\", \"logical_representation\": [\"2016/02/29\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/29?\", \"33 minutes\"], [\"what did I watch on tv on 2016/02/29?\", \"a movie\"], [\"Did I watch tv on 2016/02/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/01\": {\"lunch\": {\"eid\": \"e9442\", \"logical_representation\": [\"2016/03/01\", \"lunch\", \"sandwich\", \"Avery, Rylee, Nevaeh, Hazel, Lydia, Claire, Layla, Nora, Piper\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9443\", \"logical_representation\": [\"2016/03/01\", \"Hazel\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2016/03/01?\", \"53 minutes\"], [\"who did I talk to on 2016/03/01?\", \"Hazel\"], [\"Did I talk to Hazel on 2016/03/01?\", \"yes\"], [\"Did I talk to anyone on 2016/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/03\": {\"lunch\": {\"eid\": \"e9448\", \"logical_representation\": [\"2016/03/03\", \"lunch\", \"pasta\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/03\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9449\", \"logical_representation\": [\"2016/03/03\", \"Nora\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Nora for 51 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2016/03/03?\", \"51 minutes\"], [\"who did I talk to on 2016/03/03?\", \"Nora\"], [\"Did I talk to Nora on 2016/03/03?\", \"yes\"], [\"Did I talk to anyone on 2016/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9450\", \"logical_representation\": [\"2016/03/03\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/03/03?\", \"5 minutes\"], [\"what did I read on 2016/03/03?\", \"a book\"], [\"Did I read on 2016/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9451\", \"logical_representation\": [\"2016/03/03\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/03?\", \"26 minutes\"], [\"what did I watch on tv on 2016/03/03?\", \"a tv series\"], [\"Did I watch tv on 2016/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/06\": {\"lunch\": {\"eid\": \"e9458\", \"logical_representation\": [\"2016/03/06\", \"lunch\", \"pasta\", \"Benjamin\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9459\", \"logical_representation\": [\"2016/03/06\", \"Lydia, Layla, Hazel, Eva\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Lydia, Layla, Hazel, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla, Hazel, Eva during lunch hours on 2016/03/06?\", \"23 minutes\"], [\"who did I talk to on 2016/03/06?\", \"Lydia, Layla, Hazel, Eva\"], [\"Did I talk to Lydia, Layla, Hazel, Eva on 2016/03/06?\", \"yes\"], [\"Did I talk to anyone on 2016/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9460\", \"logical_representation\": [\"2016/03/06\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/03/06?\", \"26 minutes\"], [\"what did I read on 2016/03/06?\", \"social media\"], [\"Did I read on 2016/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/09\": {\"lunch\": {\"eid\": \"e9468\", \"logical_representation\": [\"2016/03/09\", \"lunch\", \"chinese food\", \"Lydia, Layla, Piper, Nora, Claire, Rylee, Kinsley, Eva\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9469\", \"logical_representation\": [\"2016/03/09\", \"Claire, Nora, Olivia, Eva\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Claire, Nora, Olivia, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Olivia, Eva in the early afternoon on 2016/03/09?\", \"6 minutes\"], [\"who did I talk to on 2016/03/09?\", \"Claire, Nora, Olivia, Eva\"], [\"Did I talk to Claire, Nora, Olivia, Eva on 2016/03/09?\", \"yes\"], [\"Did I talk to anyone on 2016/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9470\", \"logical_representation\": [\"2016/03/09\", \"news\", \"21 minutes\"], \"text_template_based\": \"I watched news for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/09?\", \"21 minutes\"], [\"what did I watch on tv on 2016/03/09?\", \"news\"], [\"Did I watch tv on 2016/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/10\": {\"dinner\": {\"eid\": \"e9471\", \"logical_representation\": [\"2016/03/10\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/03/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9472\", \"logical_representation\": [\"2016/03/10\", \"Hazel, Lydia\", \"in the morning\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Hazel, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia in the morning on 2016/03/10?\", \"21 minutes\"], [\"who did I talk to on 2016/03/10?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2016/03/10?\", \"yes\"], [\"Did I talk to anyone on 2016/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9473\", \"logical_representation\": [\"2016/03/10\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/03/10?\", \"12 minutes\"], [\"what did I read on 2016/03/10?\", \"social media\"], [\"Did I read on 2016/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/14\": {\"breakfast\": {\"eid\": \"e9487\", \"logical_representation\": [\"2016/03/14\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/03/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9488\", \"logical_representation\": [\"2016/03/14\", \"dinner\", \"sushi\", \"Piper, Kinsley, Rylee, Claire, Nora\"], \"text_template_based\": \"I had dinner with Piper, Kinsley, Rylee, Claire, Nora. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/03/14?\", \"Piper, Kinsley, Rylee, Claire, Nora\"], [\"what did I eat for dinner on 2016/03/14\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/03/16\": {\"exercise\": {\"eid\": \"e9495\", \"logical_representation\": [\"2016/03/16\", \"running\"], \"text_template_based\": \"I did running on 2016/03/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/16?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2016/03/17\": {\"breakfast\": {\"eid\": \"e9496\", \"logical_representation\": [\"2016/03/17\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/03/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9497\", \"logical_representation\": [\"2016/03/17\", \"Olivia, Eva, Piper\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Olivia, Eva, Piper for 16 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva, Piper in the early evening on 2016/03/17?\", \"16 minutes\"], [\"who did I talk to on 2016/03/17?\", \"Olivia, Eva, Piper\"], [\"Did I talk to Olivia, Eva, Piper on 2016/03/17?\", \"yes\"], [\"Did I talk to anyone on 2016/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9498\", \"logical_representation\": [\"2016/03/17\", \"a tv series\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/17?\", \"45 minutes\"], [\"what did I watch on tv on 2016/03/17?\", \"a tv series\"], [\"Did I watch tv on 2016/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/19\": {\"dinner\": {\"eid\": \"e9505\", \"logical_representation\": [\"2016/03/19\", \"dinner\", \"sushi\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/03/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9506\", \"logical_representation\": [\"2016/03/19\", \"Nora, Eva\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Nora, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva in the late afternoon on 2016/03/19?\", \"9 minutes\"], [\"who did I talk to on 2016/03/19?\", \"Nora, Eva\"], [\"Did I talk to Nora, Eva on 2016/03/19?\", \"yes\"], [\"Did I talk to anyone on 2016/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9507\", \"logical_representation\": [\"2016/03/19\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/03/19?\", \"34 minutes\"], [\"what did I read on 2016/03/19?\", \"news\"], [\"Did I read on 2016/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/21\": {\"exercise\": {\"eid\": \"e9512\", \"logical_representation\": [\"2016/03/21\", \"running\"], \"text_template_based\": \"I did running on 2016/03/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9513\", \"logical_representation\": [\"2016/03/21\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/03/21?\", \"10 minutes\"], [\"what did I read on 2016/03/21?\", \"news\"], [\"Did I read on 2016/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9514\", \"logical_representation\": [\"2016/03/21\", \"a movie\", \"44 minutes\"], \"text_template_based\": \"I watched a movie for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/21?\", \"44 minutes\"], [\"what did I watch on tv on 2016/03/21?\", \"a movie\"], [\"Did I watch tv on 2016/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/23\": {\"dinner\": {\"eid\": \"e9520\", \"logical_representation\": [\"2016/03/23\", \"dinner\", \"sandwich\", \"Piper, Piper, Nora, Nevaeh, Rylee, Olivia, Eva, Claire, Layla, Avery, Kinsley\"], \"text_template_based\": \"I had dinner with Piper, Piper, Nora, Nevaeh, Rylee, Olivia, Eva, Claire, Layla, Avery, Kinsley. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/03/23?\", \"Piper, Piper, Nora, Nevaeh, Rylee, Olivia, Eva, Claire, Layla, Avery, Kinsley\"], [\"what did I eat for dinner on 2016/03/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9521\", \"logical_representation\": [\"2016/03/23\", \"Kinsley, Hazel, Layla, Lydia\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel, Layla, Lydia for 39 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Layla, Lydia in the late afternoon on 2016/03/23?\", \"39 minutes\"], [\"who did I talk to on 2016/03/23?\", \"Kinsley, Hazel, Layla, Lydia\"], [\"Did I talk to Kinsley, Hazel, Layla, Lydia on 2016/03/23?\", \"yes\"], [\"Did I talk to anyone on 2016/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/24\": {\"exercise\": {\"eid\": \"e9522\", \"logical_representation\": [\"2016/03/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/03/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9523\", \"logical_representation\": [\"2016/03/24\", \"lunch\", \"fish and chips\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9524\", \"logical_representation\": [\"2016/03/24\", \"Claire, Kinsley\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I talked to Claire, Kinsley for 55 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley during lunch hours on 2016/03/24?\", \"55 minutes\"], [\"who did I talk to on 2016/03/24?\", \"Claire, Kinsley\"], [\"Did I talk to Claire, Kinsley on 2016/03/24?\", \"yes\"], [\"Did I talk to anyone on 2016/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9525\", \"logical_representation\": [\"2016/03/24\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/03/24?\", \"5 minutes\"], [\"what did I read on 2016/03/24?\", \"social media\"], [\"Did I read on 2016/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/25\": {\"exercise\": {\"eid\": \"e9526\", \"logical_representation\": [\"2016/03/25\", \"running\"], \"text_template_based\": \"I did running on 2016/03/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9527\", \"logical_representation\": [\"2016/03/25\", \"lunch\", \"steak\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9528\", \"logical_representation\": [\"2016/03/25\", \"Kinsley, Lydia, Piper\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Kinsley, Lydia, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Piper in the late afternoon on 2016/03/25?\", \"18 minutes\"], [\"who did I talk to on 2016/03/25?\", \"Kinsley, Lydia, Piper\"], [\"Did I talk to Kinsley, Lydia, Piper on 2016/03/25?\", \"yes\"], [\"Did I talk to anyone on 2016/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/26\": {\"exercise\": {\"eid\": \"e9529\", \"logical_representation\": [\"2016/03/26\", \"running\"], \"text_template_based\": \"I did running on 2016/03/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9530\", \"logical_representation\": [\"2016/03/26\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/03/26?\", \"Kayden\"], [\"what did I eat for breakfast on 2016/03/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9531\", \"logical_representation\": [\"2016/03/26\", \"lunch\", \"pasta\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Kayden, Emily, Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/03/26?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for lunch on 2016/03/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9532\", \"logical_representation\": [\"2016/03/26\", \"Claire\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2016/03/26?\", \"20 minutes\"], [\"who did I talk to on 2016/03/26?\", \"Claire\"], [\"Did I talk to Claire on 2016/03/26?\", \"yes\"], [\"Did I talk to anyone on 2016/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9533\", \"logical_representation\": [\"2016/03/26\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/03/26?\", \"55 minutes\"], [\"what did I read on 2016/03/26?\", \"news\"], [\"Did I read on 2016/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9534\", \"logical_representation\": [\"2016/03/26\", \"a movie\", \"16 minutes\"], \"text_template_based\": \"I watched a movie for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/26?\", \"16 minutes\"], [\"what did I watch on tv on 2016/03/26?\", \"a movie\"], [\"Did I watch tv on 2016/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/27\": {\"exercise\": {\"eid\": \"e9535\", \"logical_representation\": [\"2016/03/27\", \"biking\"], \"text_template_based\": \"I did biking on 2016/03/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/27?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9536\", \"logical_representation\": [\"2016/03/27\", \"breakfast\", \"pancakes\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had pancakes for breakfast with Avery, Benjamin, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/03/27?\", \"Avery, Benjamin, Willow, Jackson\"], [\"what did I eat for breakfast on 2016/03/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9537\", \"logical_representation\": [\"2016/03/27\", \"lunch\", \"pasta\", \"Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9538\", \"logical_representation\": [\"2016/03/27\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/03/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9539\", \"logical_representation\": [\"2016/03/27\", \"Kinsley, Olivia, Nevaeh, Piper\", \"in the late afternoon\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Kinsley, Olivia, Nevaeh, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Nevaeh, Piper in the late afternoon on 2016/03/27?\", \"8 minutes\"], [\"who did I talk to on 2016/03/27?\", \"Kinsley, Olivia, Nevaeh, Piper\"], [\"Did I talk to Kinsley, Olivia, Nevaeh, Piper on 2016/03/27?\", \"yes\"], [\"Did I talk to anyone on 2016/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9540\", \"logical_representation\": [\"2016/03/27\", \"Claire, Olivia, Kinsley\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Claire, Olivia, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Kinsley in the early afternoon on 2016/03/27?\", \"22 minutes\"], [\"who did I talk to on 2016/03/27?\", \"Claire, Olivia, Kinsley\"], [\"Did I talk to Claire, Olivia, Kinsley on 2016/03/27?\", \"yes\"], [\"Did I talk to anyone on 2016/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9541\", \"logical_representation\": [\"2016/03/27\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/03/27?\", \"35 minutes\"], [\"what did I read on 2016/03/27?\", \"social media\"], [\"Did I read on 2016/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/28\": {\"breakfast\": {\"eid\": \"e9542\", \"logical_representation\": [\"2016/03/28\", \"breakfast\", \"pancakes\", \"Benjamin, Willow\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/03/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9543\", \"logical_representation\": [\"2016/03/28\", \"Claire, Layla\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Claire, Layla for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla late in the evening on 2016/03/28?\", \"37 minutes\"], [\"who did I talk to on 2016/03/28?\", \"Claire, Layla\"], [\"Did I talk to Claire, Layla on 2016/03/28?\", \"yes\"], [\"Did I talk to anyone on 2016/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9544\", \"logical_representation\": [\"2016/03/28\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/03/28?\", \"30 minutes\"], [\"what did I read on 2016/03/28?\", \"news\"], [\"Did I read on 2016/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9545\", \"logical_representation\": [\"2016/03/28\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/28?\", \"5 minutes\"], [\"what did I watch on tv on 2016/03/28?\", \"a movie\"], [\"Did I watch tv on 2016/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/29\": {\"exercise\": {\"eid\": \"e9546\", \"logical_representation\": [\"2016/03/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/03/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9547\", \"logical_representation\": [\"2016/03/29\", \"breakfast\", \"cereals\", \"Lydia, Kinsley, Piper, Nevaeh, Nora, Piper, Rylee, Hazel, Olivia, Avery\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/03/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9548\", \"logical_representation\": [\"2016/03/29\", \"Nevaeh, Eva\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Nevaeh, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva in the late afternoon on 2016/03/29?\", \"7 minutes\"], [\"who did I talk to on 2016/03/29?\", \"Nevaeh, Eva\"], [\"Did I talk to Nevaeh, Eva on 2016/03/29?\", \"yes\"], [\"Did I talk to anyone on 2016/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/30\": {\"breakfast\": {\"eid\": \"e9549\", \"logical_representation\": [\"2016/03/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/03/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9550\", \"logical_representation\": [\"2016/03/30\", \"Eva, Layla, Olivia\", \"in the early afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Eva, Layla, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Olivia in the early afternoon on 2016/03/30?\", \"55 minutes\"], [\"who did I talk to on 2016/03/30?\", \"Eva, Layla, Olivia\"], [\"Did I talk to Eva, Layla, Olivia on 2016/03/30?\", \"yes\"], [\"Did I talk to anyone on 2016/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9551\", \"logical_representation\": [\"2016/03/30\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/03/30?\", \"22 minutes\"], [\"what did I read on 2016/03/30?\", \"a book\"], [\"Did I read on 2016/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9552\", \"logical_representation\": [\"2016/03/30\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I watched a documentary for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/30?\", \"52 minutes\"], [\"what did I watch on tv on 2016/03/30?\", \"a documentary\"], [\"Did I watch tv on 2016/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/02\": {\"exercise\": {\"eid\": \"e9563\", \"logical_representation\": [\"2016/04/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/04/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9564\", \"logical_representation\": [\"2016/04/02\", \"lunch\", \"a burger\", \"Jackson\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9565\", \"logical_representation\": [\"2016/04/02\", \"dinner\", \"a burger\", \"Piper, Layla, Hazel, Rylee, Lydia, Claire, Olivia, Eva, Kinsley, Nora, Avery, Nevaeh\"], \"text_template_based\": \"I had a burger for dinner with Piper, Layla, Hazel, Rylee, Lydia, Claire, Olivia, Eva, Kinsley, Nora, Avery, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/04/02?\", \"Piper, Layla, Hazel, Rylee, Lydia, Claire, Olivia, Eva, Kinsley, Nora, Avery, Nevaeh\"], [\"what did I eat for dinner on 2016/04/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9566\", \"logical_representation\": [\"2016/04/02\", \"Claire\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Claire for 15 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2016/04/02?\", \"15 minutes\"], [\"who did I talk to on 2016/04/02?\", \"Claire\"], [\"Did I talk to Claire on 2016/04/02?\", \"yes\"], [\"Did I talk to anyone on 2016/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9567\", \"logical_representation\": [\"2016/04/02\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/04/02?\", \"45 minutes\"], [\"what did I read on 2016/04/02?\", \"a book\"], [\"Did I read on 2016/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9568\", \"logical_representation\": [\"2016/04/02\", \"news\", \"37 minutes\"], \"text_template_based\": \"I watched news for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/02?\", \"37 minutes\"], [\"what did I watch on tv on 2016/04/02?\", \"news\"], [\"Did I watch tv on 2016/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/03\": {\"exercise\": {\"eid\": \"e9569\", \"logical_representation\": [\"2016/04/03\", \"biking\"], \"text_template_based\": \"I did biking on 2016/04/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9570\", \"logical_representation\": [\"2016/04/03\", \"dinner\", \"chinese food\", \"Nevaeh, Eva\"], \"text_template_based\": \"I had dinner with Nevaeh, Eva. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/04/03?\", \"Nevaeh, Eva\"], [\"what did I eat for dinner on 2016/04/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9571\", \"logical_representation\": [\"2016/04/03\", \"Piper, Nora, Hazel\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Hazel for 46 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Hazel in the late afternoon on 2016/04/03?\", \"46 minutes\"], [\"who did I talk to on 2016/04/03?\", \"Piper, Nora, Hazel\"], [\"Did I talk to Piper, Nora, Hazel on 2016/04/03?\", \"yes\"], [\"Did I talk to anyone on 2016/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9572\", \"logical_representation\": [\"2016/04/03\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/04/03?\", \"48 minutes\"], [\"what did I read on 2016/04/03?\", \"social media\"], [\"Did I read on 2016/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/04\": {\"exercise\": {\"eid\": \"e9573\", \"logical_representation\": [\"2016/04/04\", \"biking\"], \"text_template_based\": \"I did biking on 2016/04/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9574\", \"logical_representation\": [\"2016/04/04\", \"breakfast\", \"cereals\", \"Kinsley, Rylee, Hazel, Nora, Nevaeh\"], \"text_template_based\": \"I had breakfast with Kinsley, Rylee, Hazel, Nora, Nevaeh. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/04/04?\", \"Kinsley, Rylee, Hazel, Nora, Nevaeh\"], [\"what did I eat for breakfast on 2016/04/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9575\", \"logical_representation\": [\"2016/04/04\", \"lunch\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/04/04?\", \"Carter\"], [\"what did I eat for lunch on 2016/04/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9576\", \"logical_representation\": [\"2016/04/04\", \"dinner\", \"steak\", \"Eva, Nora, Piper, Kinsley, Olivia, Piper\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9577\", \"logical_representation\": [\"2016/04/04\", \"a documentary\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/04?\", \"19 minutes\"], [\"what did I watch on tv on 2016/04/04?\", \"a documentary\"], [\"Did I watch tv on 2016/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/06\": {\"breakfast\": {\"eid\": \"e9582\", \"logical_representation\": [\"2016/04/06\", \"breakfast\", \"oatmeal\", \"Nora, Layla, Piper, Olivia, Claire, Rylee, Lydia, Avery, Nevaeh, Eva, Hazel, Kinsley, Piper\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/04/06\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9583\", \"logical_representation\": [\"2016/04/06\", \"lunch\", \"fish and chips\", \"Hazel, Nevaeh, Piper\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9584\", \"logical_representation\": [\"2016/04/06\", \"dinner\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had indian food for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/04/06?\", \"Emily\"], [\"what did I eat for dinner on 2016/04/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9585\", \"logical_representation\": [\"2016/04/06\", \"Rylee, Eva\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Rylee, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva during lunch hours on 2016/04/06?\", \"11 minutes\"], [\"who did I talk to on 2016/04/06?\", \"Rylee, Eva\"], [\"Did I talk to Rylee, Eva on 2016/04/06?\", \"yes\"], [\"Did I talk to anyone on 2016/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/07\": {\"dinner\": {\"eid\": \"e9586\", \"logical_representation\": [\"2016/04/07\", \"dinner\", \"steak\", \"Carter, Andrew\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9587\", \"logical_representation\": [\"2016/04/07\", \"Eva, Lydia\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I talked to Eva, Lydia for 11 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia in the morning on 2016/04/07?\", \"11 minutes\"], [\"who did I talk to on 2016/04/07?\", \"Eva, Lydia\"], [\"Did I talk to Eva, Lydia on 2016/04/07?\", \"yes\"], [\"Did I talk to anyone on 2016/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/08\": {\"lunch\": {\"eid\": \"e9588\", \"logical_representation\": [\"2016/04/08\", \"lunch\", \"pasta\", \"Hazel, Lydia, Piper, Nevaeh, Layla, Eva, Avery, Claire, Nora, Kinsley, Olivia, Rylee, Piper\"], \"text_template_based\": \"I had lunch with Hazel, Lydia, Piper, Nevaeh, Layla, Eva, Avery, Claire, Nora, Kinsley, Olivia, Rylee, Piper. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/04/08?\", \"Hazel, Lydia, Piper, Nevaeh, Layla, Eva, Avery, Claire, Nora, Kinsley, Olivia, Rylee, Piper\"], [\"what did I eat for lunch on 2016/04/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9589\", \"logical_representation\": [\"2016/04/08\", \"dinner\", \"indian food\", \"Emily, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/04/08?\", \"Emily, Andrew\"], [\"what did I eat for dinner on 2016/04/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9590\", \"logical_representation\": [\"2016/04/08\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/04/08?\", \"37 minutes\"], [\"what did I read on 2016/04/08?\", \"a book\"], [\"Did I read on 2016/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/09\": {\"exercise\": {\"eid\": \"e9591\", \"logical_representation\": [\"2016/04/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/04/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9592\", \"logical_representation\": [\"2016/04/09\", \"breakfast\", \"toast and cheese\", \"Lydia\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/04/09\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9593\", \"logical_representation\": [\"2016/04/09\", \"lunch\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9594\", \"logical_representation\": [\"2016/04/09\", \"dinner\", \"steak\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9595\", \"logical_representation\": [\"2016/04/09\", \"Kinsley, Lydia\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Kinsley, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia during lunch hours on 2016/04/09?\", \"48 minutes\"], [\"who did I talk to on 2016/04/09?\", \"Kinsley, Lydia\"], [\"Did I talk to Kinsley, Lydia on 2016/04/09?\", \"yes\"], [\"Did I talk to anyone on 2016/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9596\", \"logical_representation\": [\"2016/04/09\", \"Piper, Kinsley, Hazel, Avery\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Piper, Kinsley, Hazel, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Hazel, Avery in the morning on 2016/04/09?\", \"17 minutes\"], [\"who did I talk to on 2016/04/09?\", \"Piper, Kinsley, Hazel, Avery\"], [\"Did I talk to Piper, Kinsley, Hazel, Avery on 2016/04/09?\", \"yes\"], [\"Did I talk to anyone on 2016/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/10\": {\"dinner\": {\"eid\": \"e9597\", \"logical_representation\": [\"2016/04/10\", \"dinner\", \"chinese food\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Andrew, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/04/10?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for dinner on 2016/04/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9598\", \"logical_representation\": [\"2016/04/10\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I watched a documentary for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/10?\", \"25 minutes\"], [\"what did I watch on tv on 2016/04/10?\", \"a documentary\"], [\"Did I watch tv on 2016/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/21\": {\"breakfast\": {\"eid\": \"e9631\", \"logical_representation\": [\"2016/04/21\", \"breakfast\", \"cereals\", \"Carter, Kayden\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/04/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9632\", \"logical_representation\": [\"2016/04/21\", \"lunch\", \"pasta\", \"Emily, Andrew\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9633\", \"logical_representation\": [\"2016/04/21\", \"Nora, Rylee\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I talked to Nora, Rylee for 8 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee during lunch hours on 2016/04/21?\", \"8 minutes\"], [\"who did I talk to on 2016/04/21?\", \"Nora, Rylee\"], [\"Did I talk to Nora, Rylee on 2016/04/21?\", \"yes\"], [\"Did I talk to anyone on 2016/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9634\", \"logical_representation\": [\"2016/04/21\", \"a documentary\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/21?\", \"19 minutes\"], [\"what did I watch on tv on 2016/04/21?\", \"a documentary\"], [\"Did I watch tv on 2016/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/22\": {\"lunch\": {\"eid\": \"e9635\", \"logical_representation\": [\"2016/04/22\", \"lunch\", \"indian food\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9636\", \"logical_representation\": [\"2016/04/22\", \"dinner\", \"indian food\", \"Kinsley, Lydia, Piper, Nevaeh, Hazel, Rylee, Layla, Avery, Nora, Olivia, Piper, Claire, Eva\"], \"text_template_based\": \"I had indian food for dinner with Kinsley, Lydia, Piper, Nevaeh, Hazel, Rylee, Layla, Avery, Nora, Olivia, Piper, Claire, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/04/22?\", \"Kinsley, Lydia, Piper, Nevaeh, Hazel, Rylee, Layla, Avery, Nora, Olivia, Piper, Claire, Eva\"], [\"what did I eat for dinner on 2016/04/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9637\", \"logical_representation\": [\"2016/04/22\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/04/22?\", \"35 minutes\"], [\"what did I read on 2016/04/22?\", \"a book\"], [\"Did I read on 2016/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9638\", \"logical_representation\": [\"2016/04/22\", \"a documentary\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/22?\", \"41 minutes\"], [\"what did I watch on tv on 2016/04/22?\", \"a documentary\"], [\"Did I watch tv on 2016/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/23\": {\"exercise\": {\"eid\": \"e9639\", \"logical_representation\": [\"2016/04/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/04/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9640\", \"logical_representation\": [\"2016/04/23\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/04/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9641\", \"logical_representation\": [\"2016/04/23\", \"lunch\", \"chinese food\", \"Claire, Hazel, Lydia, Kinsley, Rylee, Avery, Nora, Piper, Olivia\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9642\", \"logical_representation\": [\"2016/04/23\", \"dinner\", \"chinese food\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9643\", \"logical_representation\": [\"2016/04/23\", \"Layla\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2016/04/23?\", \"16 minutes\"], [\"who did I talk to on 2016/04/23?\", \"Layla\"], [\"Did I talk to Layla on 2016/04/23?\", \"yes\"], [\"Did I talk to anyone on 2016/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9644\", \"logical_representation\": [\"2016/04/23\", \"Nevaeh, Piper\", \"late in the evening\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Nevaeh, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper late in the evening on 2016/04/23?\", \"8 minutes\"], [\"who did I talk to on 2016/04/23?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2016/04/23?\", \"yes\"], [\"Did I talk to anyone on 2016/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9645\", \"logical_representation\": [\"2016/04/23\", \"news\", \"11 minutes\"], \"text_template_based\": \"I watched news for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/23?\", \"11 minutes\"], [\"what did I watch on tv on 2016/04/23?\", \"news\"], [\"Did I watch tv on 2016/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/24\": {\"exercise\": {\"eid\": \"e9646\", \"logical_representation\": [\"2016/04/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/04/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9647\", \"logical_representation\": [\"2016/04/24\", \"breakfast\", \"pancakes\", \"Lydia, Nevaeh, Piper, Hazel, Avery, Piper, Nora, Claire, Kinsley, Rylee, Eva, Olivia\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/04/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9648\", \"logical_representation\": [\"2016/04/24\", \"Piper\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2016/04/24?\", \"43 minutes\"], [\"who did I talk to on 2016/04/24?\", \"Piper\"], [\"Did I talk to Piper on 2016/04/24?\", \"yes\"], [\"Did I talk to anyone on 2016/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9649\", \"logical_representation\": [\"2016/04/24\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/24?\", \"17 minutes\"], [\"what did I watch on tv on 2016/04/24?\", \"a movie\"], [\"Did I watch tv on 2016/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/25\": {\"breakfast\": {\"eid\": \"e9650\", \"logical_representation\": [\"2016/04/25\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/04/25?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2016/04/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9651\", \"logical_representation\": [\"2016/04/25\", \"Piper\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Piper for 41 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2016/04/25?\", \"41 minutes\"], [\"who did I talk to on 2016/04/25?\", \"Piper\"], [\"Did I talk to Piper on 2016/04/25?\", \"yes\"], [\"Did I talk to anyone on 2016/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9652\", \"logical_representation\": [\"2016/04/25\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/25?\", \"12 minutes\"], [\"what did I watch on tv on 2016/04/25?\", \"news\"], [\"Did I watch tv on 2016/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/27\": {\"exercise\": {\"eid\": \"e9657\", \"logical_representation\": [\"2016/04/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/04/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9658\", \"logical_representation\": [\"2016/04/27\", \"breakfast\", \"cereals\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/04/27?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2016/04/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9659\", \"logical_representation\": [\"2016/04/27\", \"lunch\", \"sushi\", \"Benjamin\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9660\", \"logical_representation\": [\"2016/04/27\", \"Eva\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early evening on 2016/04/27?\", \"9 minutes\"], [\"who did I talk to on 2016/04/27?\", \"Eva\"], [\"Did I talk to Eva on 2016/04/27?\", \"yes\"], [\"Did I talk to anyone on 2016/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9661\", \"logical_representation\": [\"2016/04/27\", \"Rylee, Piper, Claire\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper, Claire for 9 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Claire late in the evening on 2016/04/27?\", \"9 minutes\"], [\"who did I talk to on 2016/04/27?\", \"Rylee, Piper, Claire\"], [\"Did I talk to Rylee, Piper, Claire on 2016/04/27?\", \"yes\"], [\"Did I talk to anyone on 2016/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9662\", \"logical_representation\": [\"2016/04/27\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/04/27?\", \"29 minutes\"], [\"what did I read on 2016/04/27?\", \"a book\"], [\"Did I read on 2016/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9663\", \"logical_representation\": [\"2016/04/27\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/27?\", \"14 minutes\"], [\"what did I watch on tv on 2016/04/27?\", \"a movie\"], [\"Did I watch tv on 2016/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/28\": {\"exercise\": {\"eid\": \"e9664\", \"logical_representation\": [\"2016/04/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/04/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9665\", \"logical_representation\": [\"2016/04/28\", \"breakfast\", \"oatmeal\", \"Olivia\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/04/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9666\", \"logical_representation\": [\"2016/04/28\", \"dinner\", \"sushi\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/28\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/04/30\": {\"exercise\": {\"eid\": \"e9670\", \"logical_representation\": [\"2016/04/30\", \"biking\"], \"text_template_based\": \"I did biking on 2016/04/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9671\", \"logical_representation\": [\"2016/04/30\", \"lunch\", \"chinese food\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/04/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9672\", \"logical_representation\": [\"2016/04/30\", \"Layla, Piper, Rylee\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Rylee for 17 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Rylee in the late afternoon on 2016/04/30?\", \"17 minutes\"], [\"who did I talk to on 2016/04/30?\", \"Layla, Piper, Rylee\"], [\"Did I talk to Layla, Piper, Rylee on 2016/04/30?\", \"yes\"], [\"Did I talk to anyone on 2016/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9673\", \"logical_representation\": [\"2016/04/30\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/04/30?\", \"14 minutes\"], [\"what did I read on 2016/04/30?\", \"news\"], [\"Did I read on 2016/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9674\", \"logical_representation\": [\"2016/04/30\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/30?\", \"28 minutes\"], [\"what did I watch on tv on 2016/04/30?\", \"a movie\"], [\"Did I watch tv on 2016/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/03\": {\"lunch\": {\"eid\": \"e9684\", \"logical_representation\": [\"2016/05/03\", \"lunch\", \"a burger\", \"Hazel, Nevaeh, Layla, Piper, Avery, Claire, Kinsley, Olivia, Piper, Nora, Eva, Lydia\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/05/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9685\", \"logical_representation\": [\"2016/05/03\", \"dinner\", \"fish and chips\", \"Avery, Rylee, Eva, Piper\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9686\", \"logical_representation\": [\"2016/05/03\", \"Piper\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2016/05/03?\", \"24 minutes\"], [\"who did I talk to on 2016/05/03?\", \"Piper\"], [\"Did I talk to Piper on 2016/05/03?\", \"yes\"], [\"Did I talk to anyone on 2016/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9687\", \"logical_representation\": [\"2016/05/03\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I watched a tv series for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/03?\", \"9 minutes\"], [\"what did I watch on tv on 2016/05/03?\", \"a tv series\"], [\"Did I watch tv on 2016/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/04\": {\"chat1\": {\"eid\": \"e9688\", \"logical_representation\": [\"2016/05/04\", \"Avery, Eva, Rylee\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Avery, Eva, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Rylee in the early evening on 2016/05/04?\", \"25 minutes\"], [\"who did I talk to on 2016/05/04?\", \"Avery, Eva, Rylee\"], [\"Did I talk to Avery, Eva, Rylee on 2016/05/04?\", \"yes\"], [\"Did I talk to anyone on 2016/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9689\", \"logical_representation\": [\"2016/05/04\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/05/04?\", \"38 minutes\"], [\"what did I read on 2016/05/04?\", \"news\"], [\"Did I read on 2016/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/05\": {\"lunch\": {\"eid\": \"e9690\", \"logical_representation\": [\"2016/05/05\", \"lunch\", \"sandwich\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/05/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9691\", \"logical_representation\": [\"2016/05/05\", \"dinner\", \"tacos\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9692\", \"logical_representation\": [\"2016/05/05\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/05/05?\", \"33 minutes\"], [\"what did I read on 2016/05/05?\", \"social media\"], [\"Did I read on 2016/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9693\", \"logical_representation\": [\"2016/05/05\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/05?\", \"24 minutes\"], [\"what did I watch on tv on 2016/05/05?\", \"a tv series\"], [\"Did I watch tv on 2016/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/07\": {\"exercise\": {\"eid\": \"e9701\", \"logical_representation\": [\"2016/05/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/05/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9702\", \"logical_representation\": [\"2016/05/07\", \"breakfast\", \"cereals\", \"Rylee, Lydia, Nevaeh, Piper, Hazel, Kinsley, Avery, Eva\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/07\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2016/05/08\": {\"exercise\": {\"eid\": \"e9703\", \"logical_representation\": [\"2016/05/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/05/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9704\", \"logical_representation\": [\"2016/05/08\", \"lunch\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/05/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9705\", \"logical_representation\": [\"2016/05/08\", \"dinner\", \"pasta\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9706\", \"logical_representation\": [\"2016/05/08\", \"Eva, Olivia\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Eva, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia in the morning on 2016/05/08?\", \"40 minutes\"], [\"who did I talk to on 2016/05/08?\", \"Eva, Olivia\"], [\"Did I talk to Eva, Olivia on 2016/05/08?\", \"yes\"], [\"Did I talk to anyone on 2016/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9707\", \"logical_representation\": [\"2016/05/08\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/05/08?\", \"14 minutes\"], [\"what did I read on 2016/05/08?\", \"a book\"], [\"Did I read on 2016/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/09\": {\"exercise\": {\"eid\": \"e9708\", \"logical_representation\": [\"2016/05/09\", \"biking\"], \"text_template_based\": \"I did biking on 2016/05/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9709\", \"logical_representation\": [\"2016/05/09\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/09?\", \"22 minutes\"], [\"what did I watch on tv on 2016/05/09?\", \"news\"], [\"Did I watch tv on 2016/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/10\": {\"exercise\": {\"eid\": \"e9710\", \"logical_representation\": [\"2016/05/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/05/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9711\", \"logical_representation\": [\"2016/05/10\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/05/10?\", \"15 minutes\"], [\"what did I read on 2016/05/10?\", \"news\"], [\"Did I read on 2016/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/11\": {\"exercise\": {\"eid\": \"e9712\", \"logical_representation\": [\"2016/05/11\", \"running\"], \"text_template_based\": \"I did running on 2016/05/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9713\", \"logical_representation\": [\"2016/05/11\", \"lunch\", \"indian food\", \"Hazel, Kinsley, Olivia, Nora, Lydia, Nevaeh\"], \"text_template_based\": \"I had indian food for lunch with Hazel, Kinsley, Olivia, Nora, Lydia, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/05/11?\", \"Hazel, Kinsley, Olivia, Nora, Lydia, Nevaeh\"], [\"what did I eat for lunch on 2016/05/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9714\", \"logical_representation\": [\"2016/05/11\", \"dinner\", \"fish and chips\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9715\", \"logical_representation\": [\"2016/05/11\", \"Hazel, Avery\", \"in the early evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Hazel, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery in the early evening on 2016/05/11?\", \"46 minutes\"], [\"who did I talk to on 2016/05/11?\", \"Hazel, Avery\"], [\"Did I talk to Hazel, Avery on 2016/05/11?\", \"yes\"], [\"Did I talk to anyone on 2016/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9716\", \"logical_representation\": [\"2016/05/11\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/05/11?\", \"47 minutes\"], [\"what did I read on 2016/05/11?\", \"social media\"], [\"Did I read on 2016/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/12\": {\"exercise\": {\"eid\": \"e9717\", \"logical_representation\": [\"2016/05/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/05/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9718\", \"logical_representation\": [\"2016/05/12\", \"breakfast\", \"pancakes\", \"Lydia, Nora, Piper, Hazel, Claire, Layla, Eva, Avery, Kinsley, Nevaeh, Rylee, Piper, Olivia\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9719\", \"logical_representation\": [\"2016/05/12\", \"lunch\", \"steak\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had steak for lunch with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/05/12?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2016/05/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9720\", \"logical_representation\": [\"2016/05/12\", \"dinner\", \"pasta\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9721\", \"logical_representation\": [\"2016/05/12\", \"Rylee, Nevaeh, Avery\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh, Avery for 5 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Avery in the late afternoon on 2016/05/12?\", \"5 minutes\"], [\"who did I talk to on 2016/05/12?\", \"Rylee, Nevaeh, Avery\"], [\"Did I talk to Rylee, Nevaeh, Avery on 2016/05/12?\", \"yes\"], [\"Did I talk to anyone on 2016/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9722\", \"logical_representation\": [\"2016/05/12\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/05/12?\", \"19 minutes\"], [\"what did I read on 2016/05/12?\", \"social media\"], [\"Did I read on 2016/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/13\": {\"exercise\": {\"eid\": \"e9723\", \"logical_representation\": [\"2016/05/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/05/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9724\", \"logical_representation\": [\"2016/05/13\", \"Avery, Nora, Rylee, Claire\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Avery, Nora, Rylee, Claire for 10 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora, Rylee, Claire late in the evening on 2016/05/13?\", \"10 minutes\"], [\"who did I talk to on 2016/05/13?\", \"Avery, Nora, Rylee, Claire\"], [\"Did I talk to Avery, Nora, Rylee, Claire on 2016/05/13?\", \"yes\"], [\"Did I talk to anyone on 2016/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9725\", \"logical_representation\": [\"2016/05/13\", \"Nora, Rylee\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Nora, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee in the morning on 2016/05/13?\", \"5 minutes\"], [\"who did I talk to on 2016/05/13?\", \"Nora, Rylee\"], [\"Did I talk to Nora, Rylee on 2016/05/13?\", \"yes\"], [\"Did I talk to anyone on 2016/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9726\", \"logical_representation\": [\"2016/05/13\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/05/13?\", \"19 minutes\"], [\"what did I read on 2016/05/13?\", \"news\"], [\"Did I read on 2016/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/14\": {\"exercise\": {\"eid\": \"e9727\", \"logical_representation\": [\"2016/05/14\", \"biking\"], \"text_template_based\": \"I did biking on 2016/05/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9728\", \"logical_representation\": [\"2016/05/14\", \"breakfast\", \"oatmeal\", \"Piper, Piper, Kinsley, Nevaeh, Lydia, Eva, Layla, Rylee\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9729\", \"logical_representation\": [\"2016/05/14\", \"dinner\", \"chinese food\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9730\", \"logical_representation\": [\"2016/05/14\", \"Olivia\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I talked to Olivia for 24 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2016/05/14?\", \"24 minutes\"], [\"who did I talk to on 2016/05/14?\", \"Olivia\"], [\"Did I talk to Olivia on 2016/05/14?\", \"yes\"], [\"Did I talk to anyone on 2016/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9731\", \"logical_representation\": [\"2016/05/14\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I watched a movie for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/14?\", \"23 minutes\"], [\"what did I watch on tv on 2016/05/14?\", \"a movie\"], [\"Did I watch tv on 2016/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/15\": {\"exercise\": {\"eid\": \"e9732\", \"logical_representation\": [\"2016/05/15\", \"running\"], \"text_template_based\": \"I did running on 2016/05/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9733\", \"logical_representation\": [\"2016/05/15\", \"lunch\", \"fish and chips\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/05/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9734\", \"logical_representation\": [\"2016/05/15\", \"Piper, Rylee, Nevaeh\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Piper, Rylee, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Nevaeh in the morning on 2016/05/15?\", \"19 minutes\"], [\"who did I talk to on 2016/05/15?\", \"Piper, Rylee, Nevaeh\"], [\"Did I talk to Piper, Rylee, Nevaeh on 2016/05/15?\", \"yes\"], [\"Did I talk to anyone on 2016/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/17\": {\"breakfast\": {\"eid\": \"e9738\", \"logical_representation\": [\"2016/05/17\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9739\", \"logical_representation\": [\"2016/05/17\", \"dinner\", \"indian food\", \"Benjamin, Avery\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9740\", \"logical_representation\": [\"2016/05/17\", \"Nora, Piper, Avery\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Nora, Piper, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Avery late in the evening on 2016/05/17?\", \"55 minutes\"], [\"who did I talk to on 2016/05/17?\", \"Nora, Piper, Avery\"], [\"Did I talk to Nora, Piper, Avery on 2016/05/17?\", \"yes\"], [\"Did I talk to anyone on 2016/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9741\", \"logical_representation\": [\"2016/05/17\", \"Avery, Hazel, Nora\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Avery, Hazel, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Nora in the morning on 2016/05/17?\", \"54 minutes\"], [\"who did I talk to on 2016/05/17?\", \"Avery, Hazel, Nora\"], [\"Did I talk to Avery, Hazel, Nora on 2016/05/17?\", \"yes\"], [\"Did I talk to anyone on 2016/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9742\", \"logical_representation\": [\"2016/05/17\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/05/17?\", \"30 minutes\"], [\"what did I read on 2016/05/17?\", \"a book\"], [\"Did I read on 2016/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/18\": {\"breakfast\": {\"eid\": \"e9743\", \"logical_representation\": [\"2016/05/18\", \"breakfast\", \"pancakes\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9744\", \"logical_representation\": [\"2016/05/18\", \"lunch\", \"a burger\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had a burger for lunch with Benjamin, Willow, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/05/18?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for lunch on 2016/05/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9745\", \"logical_representation\": [\"2016/05/18\", \"Kinsley, Piper, Nevaeh, Eva\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Kinsley, Piper, Nevaeh, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Nevaeh, Eva in the early afternoon on 2016/05/18?\", \"13 minutes\"], [\"who did I talk to on 2016/05/18?\", \"Kinsley, Piper, Nevaeh, Eva\"], [\"Did I talk to Kinsley, Piper, Nevaeh, Eva on 2016/05/18?\", \"yes\"], [\"Did I talk to anyone on 2016/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9746\", \"logical_representation\": [\"2016/05/18\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/05/18?\", \"33 minutes\"], [\"what did I read on 2016/05/18?\", \"social media\"], [\"Did I read on 2016/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9747\", \"logical_representation\": [\"2016/05/18\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/18?\", \"8 minutes\"], [\"what did I watch on tv on 2016/05/18?\", \"a tv series\"], [\"Did I watch tv on 2016/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/22\": {\"breakfast\": {\"eid\": \"e9756\", \"logical_representation\": [\"2016/05/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Kinsley, Olivia, Eva, Nevaeh, Piper, Layla, Claire, Lydia, Piper\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9757\", \"logical_representation\": [\"2016/05/22\", \"Hazel, Piper, Nevaeh, Olivia\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Hazel, Piper, Nevaeh, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Nevaeh, Olivia in the early afternoon on 2016/05/22?\", \"37 minutes\"], [\"who did I talk to on 2016/05/22?\", \"Hazel, Piper, Nevaeh, Olivia\"], [\"Did I talk to Hazel, Piper, Nevaeh, Olivia on 2016/05/22?\", \"yes\"], [\"Did I talk to anyone on 2016/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/23\": {\"social media\": {\"eid\": \"e9758\", \"logical_representation\": [\"2016/05/23\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/05/23?\", \"13 minutes\"], [\"what did I read on 2016/05/23?\", \"social media\"], [\"Did I read on 2016/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9759\", \"logical_representation\": [\"2016/05/23\", \"a movie\", \"51 minutes\"], \"text_template_based\": \"I watched a movie for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/23?\", \"51 minutes\"], [\"what did I watch on tv on 2016/05/23?\", \"a movie\"], [\"Did I watch tv on 2016/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/24\": {\"breakfast\": {\"eid\": \"e9760\", \"logical_representation\": [\"2016/05/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee, Piper, Hazel, Eva, Layla, Nevaeh\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9761\", \"logical_representation\": [\"2016/05/24\", \"dinner\", \"steak\", \"Piper, Hazel, Kinsley, Nevaeh\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9762\", \"logical_representation\": [\"2016/05/24\", \"Lydia\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2016/05/24?\", \"29 minutes\"], [\"who did I talk to on 2016/05/24?\", \"Lydia\"], [\"Did I talk to Lydia on 2016/05/24?\", \"yes\"], [\"Did I talk to anyone on 2016/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9763\", \"logical_representation\": [\"2016/05/24\", \"Avery, Eva\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Avery, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva in the late afternoon on 2016/05/24?\", \"53 minutes\"], [\"who did I talk to on 2016/05/24?\", \"Avery, Eva\"], [\"Did I talk to Avery, Eva on 2016/05/24?\", \"yes\"], [\"Did I talk to anyone on 2016/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9764\", \"logical_representation\": [\"2016/05/24\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/05/24?\", \"13 minutes\"], [\"what did I read on 2016/05/24?\", \"a book\"], [\"Did I read on 2016/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/25\": {\"dinner\": {\"eid\": \"e9765\", \"logical_representation\": [\"2016/05/25\", \"dinner\", \"fish and chips\", \"Nora, Piper, Claire, Olivia, Lydia, Kinsley, Layla, Hazel, Rylee, Piper\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2016/05/28\": {\"exercise\": {\"eid\": \"e9772\", \"logical_representation\": [\"2016/05/28\", \"running\"], \"text_template_based\": \"I did running on 2016/05/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9773\", \"logical_representation\": [\"2016/05/28\", \"lunch\", \"fish and chips\", \"Claire, Olivia\"], \"text_template_based\": \"I had lunch with Claire, Olivia. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/05/28?\", \"Claire, Olivia\"], [\"what did I eat for lunch on 2016/05/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9774\", \"logical_representation\": [\"2016/05/28\", \"dinner\", \"indian food\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had indian food for dinner with Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/05/28?\", \"Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2016/05/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9775\", \"logical_representation\": [\"2016/05/28\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/28?\", \"35 minutes\"], [\"what did I watch on tv on 2016/05/28?\", \"news\"], [\"Did I watch tv on 2016/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/29\": {\"breakfast\": {\"eid\": \"e9776\", \"logical_representation\": [\"2016/05/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9777\", \"logical_representation\": [\"2016/05/29\", \"Eva, Lydia\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Eva, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia during lunch hours on 2016/05/29?\", \"6 minutes\"], [\"who did I talk to on 2016/05/29?\", \"Eva, Lydia\"], [\"Did I talk to Eva, Lydia on 2016/05/29?\", \"yes\"], [\"Did I talk to anyone on 2016/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9778\", \"logical_representation\": [\"2016/05/29\", \"Claire, Piper\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I talked to Claire, Piper for 38 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper in the morning on 2016/05/29?\", \"38 minutes\"], [\"who did I talk to on 2016/05/29?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2016/05/29?\", \"yes\"], [\"Did I talk to anyone on 2016/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9779\", \"logical_representation\": [\"2016/05/29\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/05/29?\", \"15 minutes\"], [\"what did I read on 2016/05/29?\", \"news\"], [\"Did I read on 2016/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/31\": {\"breakfast\": {\"eid\": \"e9784\", \"logical_representation\": [\"2016/05/31\", \"breakfast\", \"pancakes\", \"Eva, Nora, Hazel, Piper, Rylee, Lydia, Claire, Avery, Piper, Kinsley\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9785\", \"logical_representation\": [\"2016/05/31\", \"Rylee, Eva\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Rylee, Eva for 13 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva in the early afternoon on 2016/05/31?\", \"13 minutes\"], [\"who did I talk to on 2016/05/31?\", \"Rylee, Eva\"], [\"Did I talk to Rylee, Eva on 2016/05/31?\", \"yes\"], [\"Did I talk to anyone on 2016/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/02\": {\"breakfast\": {\"eid\": \"e9792\", \"logical_representation\": [\"2016/06/02\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/06/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9793\", \"logical_representation\": [\"2016/06/02\", \"lunch\", \"a burger\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9794\", \"logical_representation\": [\"2016/06/02\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I watched a documentary for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/02?\", \"43 minutes\"], [\"what did I watch on tv on 2016/06/02?\", \"a documentary\"], [\"Did I watch tv on 2016/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/03\": {\"breakfast\": {\"eid\": \"e9795\", \"logical_representation\": [\"2016/06/03\", \"breakfast\", \"pancakes\", \"Carter, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/06/03?\", \"Carter, Emily\"], [\"what did I eat for breakfast on 2016/06/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9796\", \"logical_representation\": [\"2016/06/03\", \"lunch\", \"a burger\", \"Rylee, Eva, Nevaeh, Claire, Olivia, Avery, Layla, Nora\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9797\", \"logical_representation\": [\"2016/06/03\", \"Nora\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Nora for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2016/06/03?\", \"42 minutes\"], [\"who did I talk to on 2016/06/03?\", \"Nora\"], [\"Did I talk to Nora on 2016/06/03?\", \"yes\"], [\"Did I talk to anyone on 2016/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9798\", \"logical_representation\": [\"2016/06/03\", \"Piper\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2016/06/03?\", \"51 minutes\"], [\"who did I talk to on 2016/06/03?\", \"Piper\"], [\"Did I talk to Piper on 2016/06/03?\", \"yes\"], [\"Did I talk to anyone on 2016/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9799\", \"logical_representation\": [\"2016/06/03\", \"news\", \"53 minutes\"], \"text_template_based\": \"I watched news for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/03?\", \"53 minutes\"], [\"what did I watch on tv on 2016/06/03?\", \"news\"], [\"Did I watch tv on 2016/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/05\": {\"exercise\": {\"eid\": \"e9803\", \"logical_representation\": [\"2016/06/05\", \"running\"], \"text_template_based\": \"I did running on 2016/06/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/05?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9804\", \"logical_representation\": [\"2016/06/05\", \"Piper\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I talked to Piper for 47 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2016/06/05?\", \"47 minutes\"], [\"who did I talk to on 2016/06/05?\", \"Piper\"], [\"Did I talk to Piper on 2016/06/05?\", \"yes\"], [\"Did I talk to anyone on 2016/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9805\", \"logical_representation\": [\"2016/06/05\", \"a documentary\", \"48 minutes\"], \"text_template_based\": \"I watched a documentary for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/05?\", \"48 minutes\"], [\"what did I watch on tv on 2016/06/05?\", \"a documentary\"], [\"Did I watch tv on 2016/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/06\": {\"breakfast\": {\"eid\": \"e9806\", \"logical_representation\": [\"2016/06/06\", \"breakfast\", \"pancakes\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had pancakes for breakfast with Benjamin, Jackson, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/06/06?\", \"Benjamin, Jackson, Avery, Willow\"], [\"what did I eat for breakfast on 2016/06/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9807\", \"logical_representation\": [\"2016/06/06\", \"dinner\", \"chinese food\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/06/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9808\", \"logical_representation\": [\"2016/06/06\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/06/06?\", \"25 minutes\"], [\"what did I read on 2016/06/06?\", \"news\"], [\"Did I read on 2016/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9809\", \"logical_representation\": [\"2016/06/06\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I watched a tv series for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/06?\", \"55 minutes\"], [\"what did I watch on tv on 2016/06/06?\", \"a tv series\"], [\"Did I watch tv on 2016/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/08\": {\"lunch\": {\"eid\": \"e9813\", \"logical_representation\": [\"2016/06/08\", \"lunch\", \"chinese food\", \"Olivia, Nevaeh\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9814\", \"logical_representation\": [\"2016/06/08\", \"dinner\", \"indian food\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/06/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9815\", \"logical_representation\": [\"2016/06/08\", \"Rylee, Lydia\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Rylee, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia in the early evening on 2016/06/08?\", \"37 minutes\"], [\"who did I talk to on 2016/06/08?\", \"Rylee, Lydia\"], [\"Did I talk to Rylee, Lydia on 2016/06/08?\", \"yes\"], [\"Did I talk to anyone on 2016/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/09\": {\"dinner\": {\"eid\": \"e9816\", \"logical_representation\": [\"2016/06/09\", \"dinner\", \"pasta\", \"Carter\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/06/09\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9817\", \"logical_representation\": [\"2016/06/09\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/06/09?\", \"53 minutes\"], [\"what did I read on 2016/06/09?\", \"news\"], [\"Did I read on 2016/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9818\", \"logical_representation\": [\"2016/06/09\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/09?\", \"46 minutes\"], [\"what did I watch on tv on 2016/06/09?\", \"a movie\"], [\"Did I watch tv on 2016/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/10\": {\"breakfast\": {\"eid\": \"e9819\", \"logical_representation\": [\"2016/06/10\", \"breakfast\", \"toast and cheese\", \"Olivia, Kinsley, Layla, Hazel, Rylee, Nevaeh, Eva, Piper, Piper, Avery, Nora, Lydia, Claire\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/06/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9820\", \"logical_representation\": [\"2016/06/10\", \"lunch\", \"tacos\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/06/10?\", \"Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2016/06/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9821\", \"logical_representation\": [\"2016/06/10\", \"Kinsley, Lydia, Rylee\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Kinsley, Lydia, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Rylee late in the evening on 2016/06/10?\", \"42 minutes\"], [\"who did I talk to on 2016/06/10?\", \"Kinsley, Lydia, Rylee\"], [\"Did I talk to Kinsley, Lydia, Rylee on 2016/06/10?\", \"yes\"], [\"Did I talk to anyone on 2016/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/11\": {\"exercise\": {\"eid\": \"e9822\", \"logical_representation\": [\"2016/06/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/06/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9823\", \"logical_representation\": [\"2016/06/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/06/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9824\", \"logical_representation\": [\"2016/06/11\", \"dinner\", \"pasta\", \"Emily, Carter\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/06/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9825\", \"logical_representation\": [\"2016/06/11\", \"Kinsley, Rylee\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee for 47 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee in the early evening on 2016/06/11?\", \"47 minutes\"], [\"who did I talk to on 2016/06/11?\", \"Kinsley, Rylee\"], [\"Did I talk to Kinsley, Rylee on 2016/06/11?\", \"yes\"], [\"Did I talk to anyone on 2016/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/12\": {\"exercise\": {\"eid\": \"e9826\", \"logical_representation\": [\"2016/06/12\", \"running\"], \"text_template_based\": \"I did running on 2016/06/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/12?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9827\", \"logical_representation\": [\"2016/06/12\", \"dinner\", \"pasta\", \"Kinsley, Claire, Nora, Layla, Olivia\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/06/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9828\", \"logical_representation\": [\"2016/06/12\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/06/12?\", \"25 minutes\"], [\"what did I read on 2016/06/12?\", \"news\"], [\"Did I read on 2016/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/13\": {\"lunch\": {\"eid\": \"e9829\", \"logical_representation\": [\"2016/06/13\", \"lunch\", \"fish and chips\", \"Avery, Jackson\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9830\", \"logical_representation\": [\"2016/06/13\", \"Layla\", \"in the morning\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2016/06/13?\", \"10 minutes\"], [\"who did I talk to on 2016/06/13?\", \"Layla\"], [\"Did I talk to Layla on 2016/06/13?\", \"yes\"], [\"Did I talk to anyone on 2016/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9831\", \"logical_representation\": [\"2016/06/13\", \"Olivia, Avery, Rylee, Hazel\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Olivia, Avery, Rylee, Hazel for 26 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Rylee, Hazel in the late afternoon on 2016/06/13?\", \"26 minutes\"], [\"who did I talk to on 2016/06/13?\", \"Olivia, Avery, Rylee, Hazel\"], [\"Did I talk to Olivia, Avery, Rylee, Hazel on 2016/06/13?\", \"yes\"], [\"Did I talk to anyone on 2016/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9832\", \"logical_representation\": [\"2016/06/13\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/06/13?\", \"24 minutes\"], [\"what did I read on 2016/06/13?\", \"news\"], [\"Did I read on 2016/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9833\", \"logical_representation\": [\"2016/06/13\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/13?\", \"42 minutes\"], [\"what did I watch on tv on 2016/06/13?\", \"a tv series\"], [\"Did I watch tv on 2016/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/15\": {\"dinner\": {\"eid\": \"e9838\", \"logical_representation\": [\"2016/06/15\", \"dinner\", \"a burger\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/06/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9839\", \"logical_representation\": [\"2016/06/15\", \"Nevaeh, Kinsley\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Kinsley for 40 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley in the early evening on 2016/06/15?\", \"40 minutes\"], [\"who did I talk to on 2016/06/15?\", \"Nevaeh, Kinsley\"], [\"Did I talk to Nevaeh, Kinsley on 2016/06/15?\", \"yes\"], [\"Did I talk to anyone on 2016/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9840\", \"logical_representation\": [\"2016/06/15\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/06/15?\", \"48 minutes\"], [\"what did I read on 2016/06/15?\", \"news\"], [\"Did I read on 2016/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/16\": {\"breakfast\": {\"eid\": \"e9841\", \"logical_representation\": [\"2016/06/16\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/06/16?\", \"Kayden, Andrew\"], [\"what did I eat for breakfast on 2016/06/16\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9842\", \"logical_representation\": [\"2016/06/16\", \"lunch\", \"sandwich\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had sandwich for lunch with Benjamin, Willow, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/06/16?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for lunch on 2016/06/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9843\", \"logical_representation\": [\"2016/06/16\", \"dinner\", \"sandwich\", \"Olivia, Layla, Nevaeh, Lydia, Piper, Kinsley, Eva, Claire, Rylee, Avery\"], \"text_template_based\": \"I had dinner with Olivia, Layla, Nevaeh, Lydia, Piper, Kinsley, Eva, Claire, Rylee, Avery. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/06/16?\", \"Olivia, Layla, Nevaeh, Lydia, Piper, Kinsley, Eva, Claire, Rylee, Avery\"], [\"what did I eat for dinner on 2016/06/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9844\", \"logical_representation\": [\"2016/06/16\", \"Avery, Nevaeh, Layla\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Avery, Nevaeh, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Layla in the late afternoon on 2016/06/16?\", \"41 minutes\"], [\"who did I talk to on 2016/06/16?\", \"Avery, Nevaeh, Layla\"], [\"Did I talk to Avery, Nevaeh, Layla on 2016/06/16?\", \"yes\"], [\"Did I talk to anyone on 2016/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9845\", \"logical_representation\": [\"2016/06/16\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/16?\", \"25 minutes\"], [\"what did I watch on tv on 2016/06/16?\", \"a documentary\"], [\"Did I watch tv on 2016/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/17\": {\"lunch\": {\"eid\": \"e9846\", \"logical_representation\": [\"2016/06/17\", \"lunch\", \"a burger\", \"Willow, Avery\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9847\", \"logical_representation\": [\"2016/06/17\", \"Hazel, Lydia\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia for 38 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia late in the evening on 2016/06/17?\", \"38 minutes\"], [\"who did I talk to on 2016/06/17?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2016/06/17?\", \"yes\"], [\"Did I talk to anyone on 2016/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9848\", \"logical_representation\": [\"2016/06/17\", \"a movie\", \"35 minutes\"], \"text_template_based\": \"I watched a movie for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/17?\", \"35 minutes\"], [\"what did I watch on tv on 2016/06/17?\", \"a movie\"], [\"Did I watch tv on 2016/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/18\": {\"breakfast\": {\"eid\": \"e9849\", \"logical_representation\": [\"2016/06/18\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Olivia, Kinsley, Rylee, Claire, Eva, Nevaeh, Hazel, Piper, Lydia, Avery\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/06/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9850\", \"logical_representation\": [\"2016/06/18\", \"dinner\", \"sandwich\", \"Willow, Avery\"], \"text_template_based\": \"I had dinner with Willow, Avery. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/06/18?\", \"Willow, Avery\"], [\"what did I eat for dinner on 2016/06/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9851\", \"logical_representation\": [\"2016/06/18\", \"Nevaeh\", \"late in the evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 23 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2016/06/18?\", \"23 minutes\"], [\"who did I talk to on 2016/06/18?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2016/06/18?\", \"yes\"], [\"Did I talk to anyone on 2016/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/19\": {\"exercise\": {\"eid\": \"e9852\", \"logical_representation\": [\"2016/06/19\", \"biking\"], \"text_template_based\": \"I did biking on 2016/06/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9853\", \"logical_representation\": [\"2016/06/19\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Claire, Eva, Olivia, Nevaeh, Avery\"], \"text_template_based\": \"I had breakfast with Piper, Claire, Eva, Olivia, Nevaeh, Avery. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/06/19?\", \"Piper, Claire, Eva, Olivia, Nevaeh, Avery\"], [\"what did I eat for breakfast on 2016/06/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9854\", \"logical_representation\": [\"2016/06/19\", \"lunch\", \"pasta\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9855\", \"logical_representation\": [\"2016/06/19\", \"Olivia\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I talked to Olivia for 27 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2016/06/19?\", \"27 minutes\"], [\"who did I talk to on 2016/06/19?\", \"Olivia\"], [\"Did I talk to Olivia on 2016/06/19?\", \"yes\"], [\"Did I talk to anyone on 2016/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/22\": {\"breakfast\": {\"eid\": \"e9863\", \"logical_representation\": [\"2016/06/22\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/06/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9864\", \"logical_representation\": [\"2016/06/22\", \"lunch\", \"chinese food\", \"Claire, Layla, Olivia, Piper, Kinsley, Hazel, Lydia, Rylee, Avery, Nora, Piper, Eva\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9865\", \"logical_representation\": [\"2016/06/22\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/06/22?\", \"54 minutes\"], [\"what did I read on 2016/06/22?\", \"news\"], [\"Did I read on 2016/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9866\", \"logical_representation\": [\"2016/06/22\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I watched a tv series for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/22?\", \"42 minutes\"], [\"what did I watch on tv on 2016/06/22?\", \"a tv series\"], [\"Did I watch tv on 2016/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/23\": {\"exercise\": {\"eid\": \"e9867\", \"logical_representation\": [\"2016/06/23\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/06/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/23?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9868\", \"logical_representation\": [\"2016/06/23\", \"breakfast\", \"cereals\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/06/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9869\", \"logical_representation\": [\"2016/06/23\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/06/23?\", \"21 minutes\"], [\"what did I read on 2016/06/23?\", \"news\"], [\"Did I read on 2016/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/25\": {\"breakfast\": {\"eid\": \"e9872\", \"logical_representation\": [\"2016/06/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Lydia\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Eva, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/06/25?\", \"Eva, Lydia\"], [\"what did I eat for breakfast on 2016/06/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9873\", \"logical_representation\": [\"2016/06/25\", \"lunch\", \"steak\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9874\", \"logical_representation\": [\"2016/06/25\", \"dinner\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I had pasta for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/06/25?\", \"Kayden\"], [\"what did I eat for dinner on 2016/06/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9875\", \"logical_representation\": [\"2016/06/25\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/06/25?\", \"19 minutes\"], [\"what did I read on 2016/06/25?\", \"news\"], [\"Did I read on 2016/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9876\", \"logical_representation\": [\"2016/06/25\", \"a documentary\", \"55 minutes\"], \"text_template_based\": \"I watched a documentary for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/25?\", \"55 minutes\"], [\"what did I watch on tv on 2016/06/25?\", \"a documentary\"], [\"Did I watch tv on 2016/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/26\": {\"exercise\": {\"eid\": \"e9877\", \"logical_representation\": [\"2016/06/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/06/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9878\", \"logical_representation\": [\"2016/06/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Avery, Layla, Piper, Lydia, Nevaeh, Rylee\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Eva, Avery, Layla, Piper, Lydia, Nevaeh, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/06/26?\", \"Eva, Avery, Layla, Piper, Lydia, Nevaeh, Rylee\"], [\"what did I eat for breakfast on 2016/06/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9879\", \"logical_representation\": [\"2016/06/26\", \"lunch\", \"pasta\", \"Avery, Layla, Eva, Kinsley, Nora, Olivia, Lydia, Hazel, Piper, Nevaeh, Rylee, Piper\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9880\", \"logical_representation\": [\"2016/06/26\", \"dinner\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I had a burger for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/06/26?\", \"Kayden\"], [\"what did I eat for dinner on 2016/06/26\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2016/06/30\": {\"exercise\": {\"eid\": \"e9894\", \"logical_representation\": [\"2016/06/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/06/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9895\", \"logical_representation\": [\"2016/06/30\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I watched a tv series for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/30?\", \"18 minutes\"], [\"what did I watch on tv on 2016/06/30?\", \"a tv series\"], [\"Did I watch tv on 2016/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/01\": {\"exercise\": {\"eid\": \"e9896\", \"logical_representation\": [\"2016/07/01\", \"biking\"], \"text_template_based\": \"I did biking on 2016/07/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/01?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9897\", \"logical_representation\": [\"2016/07/01\", \"dinner\", \"sandwich\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/07/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9898\", \"logical_representation\": [\"2016/07/01\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/01?\", \"9 minutes\"], [\"what did I watch on tv on 2016/07/01?\", \"news\"], [\"Did I watch tv on 2016/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/02\": {\"breakfast\": {\"eid\": \"e9899\", \"logical_representation\": [\"2016/07/02\", \"breakfast\", \"pancakes\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9900\", \"logical_representation\": [\"2016/07/02\", \"dinner\", \"chinese food\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/02?\", \"Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2016/07/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9901\", \"logical_representation\": [\"2016/07/02\", \"Lydia, Rylee, Piper, Layla\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee, Piper, Layla for 5 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Piper, Layla in the morning on 2016/07/02?\", \"5 minutes\"], [\"who did I talk to on 2016/07/02?\", \"Lydia, Rylee, Piper, Layla\"], [\"Did I talk to Lydia, Rylee, Piper, Layla on 2016/07/02?\", \"yes\"], [\"Did I talk to anyone on 2016/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/03\": {\"exercise\": {\"eid\": \"e9902\", \"logical_representation\": [\"2016/07/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/07/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9903\", \"logical_representation\": [\"2016/07/03\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9904\", \"logical_representation\": [\"2016/07/03\", \"lunch\", \"fish and chips\", \"Claire, Eva, Piper, Avery, Lydia, Kinsley, Hazel, Layla\"], \"text_template_based\": \"I had fish and chips for lunch with Claire, Eva, Piper, Avery, Lydia, Kinsley, Hazel, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/07/03?\", \"Claire, Eva, Piper, Avery, Lydia, Kinsley, Hazel, Layla\"], [\"what did I eat for lunch on 2016/07/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9905\", \"logical_representation\": [\"2016/07/03\", \"Rylee, Lydia, Layla, Avery\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I talked to Rylee, Lydia, Layla, Avery for 12 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Layla, Avery during lunch hours on 2016/07/03?\", \"12 minutes\"], [\"who did I talk to on 2016/07/03?\", \"Rylee, Lydia, Layla, Avery\"], [\"Did I talk to Rylee, Lydia, Layla, Avery on 2016/07/03?\", \"yes\"], [\"Did I talk to anyone on 2016/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/04\": {\"lunch\": {\"eid\": \"e9906\", \"logical_representation\": [\"2016/07/04\", \"lunch\", \"sushi\", \"Lydia, Olivia, Layla, Hazel, Claire, Avery, Piper, Rylee, Nora, Nevaeh, Piper, Kinsley\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/07/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9907\", \"logical_representation\": [\"2016/07/04\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/07/04?\", \"50 minutes\"], [\"what did I read on 2016/07/04?\", \"social media\"], [\"Did I read on 2016/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9908\", \"logical_representation\": [\"2016/07/04\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/04?\", \"35 minutes\"], [\"what did I watch on tv on 2016/07/04?\", \"news\"], [\"Did I watch tv on 2016/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/05\": {\"lunch\": {\"eid\": \"e9909\", \"logical_representation\": [\"2016/07/05\", \"lunch\", \"sandwich\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/07/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9910\", \"logical_representation\": [\"2016/07/05\", \"Layla, Hazel\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Layla, Hazel for 33 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel in the late afternoon on 2016/07/05?\", \"33 minutes\"], [\"who did I talk to on 2016/07/05?\", \"Layla, Hazel\"], [\"Did I talk to Layla, Hazel on 2016/07/05?\", \"yes\"], [\"Did I talk to anyone on 2016/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9911\", \"logical_representation\": [\"2016/07/05\", \"Nora, Rylee, Eva\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Nora, Rylee, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Eva in the early evening on 2016/07/05?\", \"24 minutes\"], [\"who did I talk to on 2016/07/05?\", \"Nora, Rylee, Eva\"], [\"Did I talk to Nora, Rylee, Eva on 2016/07/05?\", \"yes\"], [\"Did I talk to anyone on 2016/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9912\", \"logical_representation\": [\"2016/07/05\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/07/05?\", \"21 minutes\"], [\"what did I read on 2016/07/05?\", \"news\"], [\"Did I read on 2016/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/07\": {\"breakfast\": {\"eid\": \"e9918\", \"logical_representation\": [\"2016/07/07\", \"breakfast\", \"oatmeal\", \"Layla, Claire, Piper, Kinsley, Avery, Nevaeh, Olivia, Rylee, Hazel, Eva, Lydia, Piper\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9919\", \"logical_representation\": [\"2016/07/07\", \"dinner\", \"fish and chips\", \"Avery, Piper, Rylee, Nora, Eva, Lydia\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/07/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9920\", \"logical_representation\": [\"2016/07/07\", \"Kinsley\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2016/07/07?\", \"10 minutes\"], [\"who did I talk to on 2016/07/07?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2016/07/07?\", \"yes\"], [\"Did I talk to anyone on 2016/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9921\", \"logical_representation\": [\"2016/07/07\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/07/07?\", \"17 minutes\"], [\"what did I read on 2016/07/07?\", \"a book\"], [\"Did I read on 2016/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9922\", \"logical_representation\": [\"2016/07/07\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/07?\", \"11 minutes\"], [\"what did I watch on tv on 2016/07/07?\", \"a tv series\"], [\"Did I watch tv on 2016/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/08\": {\"lunch\": {\"eid\": \"e9923\", \"logical_representation\": [\"2016/07/08\", \"lunch\", \"sandwich\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/07/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9924\", \"logical_representation\": [\"2016/07/08\", \"Piper, Lydia\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia for 19 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia in the early evening on 2016/07/08?\", \"19 minutes\"], [\"who did I talk to on 2016/07/08?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2016/07/08?\", \"yes\"], [\"Did I talk to anyone on 2016/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9925\", \"logical_representation\": [\"2016/07/08\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/07/08?\", \"25 minutes\"], [\"what did I read on 2016/07/08?\", \"news\"], [\"Did I read on 2016/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/12\": {\"exercise\": {\"eid\": \"e9938\", \"logical_representation\": [\"2016/07/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/07/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9939\", \"logical_representation\": [\"2016/07/12\", \"breakfast\", \"cereals\", \"Eva, Hazel, Nora, Piper, Nevaeh, Piper, Olivia, Rylee, Kinsley, Claire, Lydia, Layla, Avery\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9940\", \"logical_representation\": [\"2016/07/12\", \"Piper, Kinsley\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Piper, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley in the late afternoon on 2016/07/12?\", \"7 minutes\"], [\"who did I talk to on 2016/07/12?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2016/07/12?\", \"yes\"], [\"Did I talk to anyone on 2016/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9941\", \"logical_representation\": [\"2016/07/12\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/07/12?\", \"49 minutes\"], [\"what did I read on 2016/07/12?\", \"social media\"], [\"Did I read on 2016/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9942\", \"logical_representation\": [\"2016/07/12\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/12?\", \"18 minutes\"], [\"what did I watch on tv on 2016/07/12?\", \"a movie\"], [\"Did I watch tv on 2016/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/13\": {\"breakfast\": {\"eid\": \"e9943\", \"logical_representation\": [\"2016/07/13\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9944\", \"logical_representation\": [\"2016/07/13\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/07/13?\", \"6 minutes\"], [\"what did I read on 2016/07/13?\", \"social media\"], [\"Did I read on 2016/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9945\", \"logical_representation\": [\"2016/07/13\", \"a documentary\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/13?\", \"8 minutes\"], [\"what did I watch on tv on 2016/07/13?\", \"a documentary\"], [\"Did I watch tv on 2016/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/16\": {\"breakfast\": {\"eid\": \"e9954\", \"logical_representation\": [\"2016/07/16\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Piper, Lydia, Nora, Claire\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9955\", \"logical_representation\": [\"2016/07/16\", \"lunch\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/07/16?\", \"Carter\"], [\"what did I eat for lunch on 2016/07/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9956\", \"logical_representation\": [\"2016/07/16\", \"dinner\", \"tacos\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Emily, Kayden, Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/16?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2016/07/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9957\", \"logical_representation\": [\"2016/07/16\", \"Eva\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I talked to Eva for 14 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2016/07/16?\", \"14 minutes\"], [\"who did I talk to on 2016/07/16?\", \"Eva\"], [\"Did I talk to Eva on 2016/07/16?\", \"yes\"], [\"Did I talk to anyone on 2016/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9958\", \"logical_representation\": [\"2016/07/16\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/16?\", \"50 minutes\"], [\"what did I watch on tv on 2016/07/16?\", \"news\"], [\"Did I watch tv on 2016/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/17\": {\"breakfast\": {\"eid\": \"e9959\", \"logical_representation\": [\"2016/07/17\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/07/17?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2016/07/17\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9960\", \"logical_representation\": [\"2016/07/17\", \"Piper, Hazel, Avery, Nevaeh\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Piper, Hazel, Avery, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Avery, Nevaeh in the early afternoon on 2016/07/17?\", \"54 minutes\"], [\"who did I talk to on 2016/07/17?\", \"Piper, Hazel, Avery, Nevaeh\"], [\"Did I talk to Piper, Hazel, Avery, Nevaeh on 2016/07/17?\", \"yes\"], [\"Did I talk to anyone on 2016/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9961\", \"logical_representation\": [\"2016/07/17\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/07/17?\", \"22 minutes\"], [\"what did I read on 2016/07/17?\", \"social media\"], [\"Did I read on 2016/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9962\", \"logical_representation\": [\"2016/07/17\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/17?\", \"23 minutes\"], [\"what did I watch on tv on 2016/07/17?\", \"a tv series\"], [\"Did I watch tv on 2016/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/18\": {\"breakfast\": {\"eid\": \"e9963\", \"logical_representation\": [\"2016/07/18\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9964\", \"logical_representation\": [\"2016/07/18\", \"lunch\", \"sushi\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/07/18?\", \"Carter\"], [\"what did I eat for lunch on 2016/07/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9965\", \"logical_representation\": [\"2016/07/18\", \"Olivia, Lydia\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Olivia, Lydia for 23 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia in the early afternoon on 2016/07/18?\", \"23 minutes\"], [\"who did I talk to on 2016/07/18?\", \"Olivia, Lydia\"], [\"Did I talk to Olivia, Lydia on 2016/07/18?\", \"yes\"], [\"Did I talk to anyone on 2016/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9966\", \"logical_representation\": [\"2016/07/18\", \"Hazel, Kinsley\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Hazel, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley in the late afternoon on 2016/07/18?\", \"55 minutes\"], [\"who did I talk to on 2016/07/18?\", \"Hazel, Kinsley\"], [\"Did I talk to Hazel, Kinsley on 2016/07/18?\", \"yes\"], [\"Did I talk to anyone on 2016/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9967\", \"logical_representation\": [\"2016/07/18\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/07/18?\", \"23 minutes\"], [\"what did I read on 2016/07/18?\", \"social media\"], [\"Did I read on 2016/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e9968\", \"logical_representation\": [\"2016/07/18\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/18?\", \"39 minutes\"], [\"what did I watch on tv on 2016/07/18?\", \"a documentary\"], [\"Did I watch tv on 2016/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/20\": {\"exercise\": {\"eid\": \"e9972\", \"logical_representation\": [\"2016/07/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/07/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e9973\", \"logical_representation\": [\"2016/07/20\", \"breakfast\", \"cereals\", \"Jackson\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9974\", \"logical_representation\": [\"2016/07/20\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/07/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9975\", \"logical_representation\": [\"2016/07/20\", \"dinner\", \"sushi\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/07/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9976\", \"logical_representation\": [\"2016/07/20\", \"Olivia, Nevaeh, Layla, Rylee\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Olivia, Nevaeh, Layla, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh, Layla, Rylee in the late afternoon on 2016/07/20?\", \"37 minutes\"], [\"who did I talk to on 2016/07/20?\", \"Olivia, Nevaeh, Layla, Rylee\"], [\"Did I talk to Olivia, Nevaeh, Layla, Rylee on 2016/07/20?\", \"yes\"], [\"Did I talk to anyone on 2016/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/21\": {\"exercise\": {\"eid\": \"e9977\", \"logical_representation\": [\"2016/07/21\", \"biking\"], \"text_template_based\": \"I did biking on 2016/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9978\", \"logical_representation\": [\"2016/07/21\", \"lunch\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/07/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9979\", \"logical_representation\": [\"2016/07/21\", \"Piper\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2016/07/21?\", \"41 minutes\"], [\"who did I talk to on 2016/07/21?\", \"Piper\"], [\"Did I talk to Piper on 2016/07/21?\", \"yes\"], [\"Did I talk to anyone on 2016/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e9980\", \"logical_representation\": [\"2016/07/21\", \"Piper, Avery, Lydia, Eva\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Piper, Avery, Lydia, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Lydia, Eva in the early evening on 2016/07/21?\", \"50 minutes\"], [\"who did I talk to on 2016/07/21?\", \"Piper, Avery, Lydia, Eva\"], [\"Did I talk to Piper, Avery, Lydia, Eva on 2016/07/21?\", \"yes\"], [\"Did I talk to anyone on 2016/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9981\", \"logical_representation\": [\"2016/07/21\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/07/21?\", \"18 minutes\"], [\"what did I read on 2016/07/21?\", \"social media\"], [\"Did I read on 2016/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/22\": {\"exercise\": {\"eid\": \"e9982\", \"logical_representation\": [\"2016/07/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/07/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9983\", \"logical_representation\": [\"2016/07/22\", \"Kinsley, Piper\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper for 19 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the morning on 2016/07/22?\", \"19 minutes\"], [\"who did I talk to on 2016/07/22?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2016/07/22?\", \"yes\"], [\"Did I talk to anyone on 2016/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e9984\", \"logical_representation\": [\"2016/07/22\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/07/22?\", \"28 minutes\"], [\"what did I read on 2016/07/22?\", \"a book\"], [\"Did I read on 2016/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/25\": {\"exercise\": {\"eid\": \"e9993\", \"logical_representation\": [\"2016/07/25\", \"running\"], \"text_template_based\": \"I did running on 2016/07/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9994\", \"logical_representation\": [\"2016/07/25\", \"lunch\", \"pasta\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/07/25?\", \"Carter\"], [\"what did I eat for lunch on 2016/07/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e9995\", \"logical_representation\": [\"2016/07/25\", \"dinner\", \"steak\", \"Lydia, Piper, Kinsley, Nevaeh, Eva, Olivia\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/07/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e9996\", \"logical_representation\": [\"2016/07/25\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/07/25?\", \"10 minutes\"], [\"what did I read on 2016/07/25?\", \"social media\"], [\"Did I read on 2016/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/26\": {\"exercise\": {\"eid\": \"e9997\", \"logical_representation\": [\"2016/07/26\", \"biking\"], \"text_template_based\": \"I did biking on 2016/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e9998\", \"logical_representation\": [\"2016/07/26\", \"lunch\", \"sandwich\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had sandwich for lunch with Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/07/26?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2016/07/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e9999\", \"logical_representation\": [\"2016/07/26\", \"Piper, Piper\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Piper, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper in the morning on 2016/07/26?\", \"20 minutes\"], [\"who did I talk to on 2016/07/26?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2016/07/26?\", \"yes\"], [\"Did I talk to anyone on 2016/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10000\", \"logical_representation\": [\"2016/07/26\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/07/26?\", \"52 minutes\"], [\"what did I read on 2016/07/26?\", \"news\"], [\"Did I read on 2016/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/29\": {\"breakfast\": {\"eid\": \"e10006\", \"logical_representation\": [\"2016/07/29\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10007\", \"logical_representation\": [\"2016/07/29\", \"dinner\", \"chinese food\", \"Jackson\"], \"text_template_based\": \"I had dinner with Jackson. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/29?\", \"Jackson\"], [\"what did I eat for dinner on 2016/07/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10008\", \"logical_representation\": [\"2016/07/29\", \"Nora\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Nora for 53 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2016/07/29?\", \"53 minutes\"], [\"who did I talk to on 2016/07/29?\", \"Nora\"], [\"Did I talk to Nora on 2016/07/29?\", \"yes\"], [\"Did I talk to anyone on 2016/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10009\", \"logical_representation\": [\"2016/07/29\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I watched a movie for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/29?\", \"29 minutes\"], [\"what did I watch on tv on 2016/07/29?\", \"a movie\"], [\"Did I watch tv on 2016/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/30\": {\"exercise\": {\"eid\": \"e10010\", \"logical_representation\": [\"2016/07/30\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/07/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/30?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10011\", \"logical_representation\": [\"2016/07/30\", \"lunch\", \"sandwich\", \"Eva, Kinsley, Lydia, Olivia, Layla, Nevaeh, Rylee, Claire, Piper, Hazel, Piper\"], \"text_template_based\": \"I had lunch with Eva, Kinsley, Lydia, Olivia, Layla, Nevaeh, Rylee, Claire, Piper, Hazel, Piper. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/07/30?\", \"Eva, Kinsley, Lydia, Olivia, Layla, Nevaeh, Rylee, Claire, Piper, Hazel, Piper\"], [\"what did I eat for lunch on 2016/07/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2016/08/01\": {\"exercise\": {\"eid\": \"e10017\", \"logical_representation\": [\"2016/08/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10018\", \"logical_representation\": [\"2016/08/01\", \"breakfast\", \"cereals\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/08/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10019\", \"logical_representation\": [\"2016/08/01\", \"lunch\", \"pasta\", \"Layla, Kinsley, Avery, Olivia, Piper, Nevaeh, Lydia, Piper, Hazel, Claire, Rylee, Nora\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10020\", \"logical_representation\": [\"2016/08/01\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/08/01?\", \"24 minutes\"], [\"what did I read on 2016/08/01?\", \"social media\"], [\"Did I read on 2016/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10021\", \"logical_representation\": [\"2016/08/01\", \"news\", \"55 minutes\"], \"text_template_based\": \"I watched news for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/01?\", \"55 minutes\"], [\"what did I watch on tv on 2016/08/01?\", \"news\"], [\"Did I watch tv on 2016/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/02\": {\"lunch\": {\"eid\": \"e10022\", \"logical_representation\": [\"2016/08/02\", \"lunch\", \"pasta\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had pasta for lunch with Carter, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/08/02?\", \"Carter, Andrew, Kayden\"], [\"what did I eat for lunch on 2016/08/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10023\", \"logical_representation\": [\"2016/08/02\", \"Lydia, Eva, Nevaeh, Avery\", \"in the late afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva, Nevaeh, Avery for 31 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Nevaeh, Avery in the late afternoon on 2016/08/02?\", \"31 minutes\"], [\"who did I talk to on 2016/08/02?\", \"Lydia, Eva, Nevaeh, Avery\"], [\"Did I talk to Lydia, Eva, Nevaeh, Avery on 2016/08/02?\", \"yes\"], [\"Did I talk to anyone on 2016/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10024\", \"logical_representation\": [\"2016/08/02\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/08/02?\", \"55 minutes\"], [\"what did I read on 2016/08/02?\", \"social media\"], [\"Did I read on 2016/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10025\", \"logical_representation\": [\"2016/08/02\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/02?\", \"50 minutes\"], [\"what did I watch on tv on 2016/08/02?\", \"a movie\"], [\"Did I watch tv on 2016/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/04\": {\"lunch\": {\"eid\": \"e10031\", \"logical_representation\": [\"2016/08/04\", \"lunch\", \"a burger\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10032\", \"logical_representation\": [\"2016/08/04\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/04?\", \"39 minutes\"], [\"what did I watch on tv on 2016/08/04?\", \"a documentary\"], [\"Did I watch tv on 2016/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/05\": {\"dinner\": {\"eid\": \"e10033\", \"logical_representation\": [\"2016/08/05\", \"dinner\", \"a burger\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Andrew. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/08/05?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2016/08/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10034\", \"logical_representation\": [\"2016/08/05\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/05?\", \"54 minutes\"], [\"what did I watch on tv on 2016/08/05?\", \"news\"], [\"Did I watch tv on 2016/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/06\": {\"lunch\": {\"eid\": \"e10035\", \"logical_representation\": [\"2016/08/06\", \"lunch\", \"sushi\", \"Eva, Olivia, Kinsley, Lydia, Claire, Nevaeh, Hazel, Nora, Avery, Piper\"], \"text_template_based\": \"I had sushi for lunch with Eva, Olivia, Kinsley, Lydia, Claire, Nevaeh, Hazel, Nora, Avery, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/08/06?\", \"Eva, Olivia, Kinsley, Lydia, Claire, Nevaeh, Hazel, Nora, Avery, Piper\"], [\"what did I eat for lunch on 2016/08/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10036\", \"logical_representation\": [\"2016/08/06\", \"Layla\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2016/08/06?\", \"47 minutes\"], [\"who did I talk to on 2016/08/06?\", \"Layla\"], [\"Did I talk to Layla on 2016/08/06?\", \"yes\"], [\"Did I talk to anyone on 2016/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/07\": {\"exercise\": {\"eid\": \"e10037\", \"logical_representation\": [\"2016/08/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/08/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10038\", \"logical_representation\": [\"2016/08/07\", \"breakfast\", \"pancakes\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/08/07\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10039\", \"logical_representation\": [\"2016/08/07\", \"lunch\", \"sandwich\", \"Olivia, Eva, Lydia, Piper, Nora, Kinsley, Avery\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10040\", \"logical_representation\": [\"2016/08/07\", \"Piper, Piper\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Piper, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper late in the evening on 2016/08/07?\", \"45 minutes\"], [\"who did I talk to on 2016/08/07?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2016/08/07?\", \"yes\"], [\"Did I talk to anyone on 2016/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10041\", \"logical_representation\": [\"2016/08/07\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/08/07?\", \"14 minutes\"], [\"what did I read on 2016/08/07?\", \"social media\"], [\"Did I read on 2016/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/09\": {\"exercise\": {\"eid\": \"e10046\", \"logical_representation\": [\"2016/08/09\", \"biking\"], \"text_template_based\": \"I did biking on 2016/08/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10047\", \"logical_representation\": [\"2016/08/09\", \"lunch\", \"tacos\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Emily, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/08/09?\", \"Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2016/08/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10048\", \"logical_representation\": [\"2016/08/09\", \"dinner\", \"pasta\", \"Piper, Nora, Olivia, Rylee, Hazel, Layla, Nevaeh, Piper\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/08/09\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10049\", \"logical_representation\": [\"2016/08/09\", \"Kinsley, Rylee\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee for 24 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee late in the evening on 2016/08/09?\", \"24 minutes\"], [\"who did I talk to on 2016/08/09?\", \"Kinsley, Rylee\"], [\"Did I talk to Kinsley, Rylee on 2016/08/09?\", \"yes\"], [\"Did I talk to anyone on 2016/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10050\", \"logical_representation\": [\"2016/08/09\", \"Hazel\", \"during lunch hours\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2016/08/09?\", \"32 minutes\"], [\"who did I talk to on 2016/08/09?\", \"Hazel\"], [\"Did I talk to Hazel on 2016/08/09?\", \"yes\"], [\"Did I talk to anyone on 2016/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10051\", \"logical_representation\": [\"2016/08/09\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/08/09?\", \"37 minutes\"], [\"what did I read on 2016/08/09?\", \"news\"], [\"Did I read on 2016/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/10\": {\"breakfast\": {\"eid\": \"e10052\", \"logical_representation\": [\"2016/08/10\", \"breakfast\", \"eggs, sausages, and bread\", \"Kinsley, Claire, Eva, Nevaeh, Piper, Piper, Hazel, Rylee, Nora, Lydia\"], \"text_template_based\": \"I had breakfast with Kinsley, Claire, Eva, Nevaeh, Piper, Piper, Hazel, Rylee, Nora, Lydia. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/08/10?\", \"Kinsley, Claire, Eva, Nevaeh, Piper, Piper, Hazel, Rylee, Nora, Lydia\"], [\"what did I eat for breakfast on 2016/08/10\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10053\", \"logical_representation\": [\"2016/08/10\", \"Piper, Hazel, Layla, Rylee\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Piper, Hazel, Layla, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Layla, Rylee during lunch hours on 2016/08/10?\", \"53 minutes\"], [\"who did I talk to on 2016/08/10?\", \"Piper, Hazel, Layla, Rylee\"], [\"Did I talk to Piper, Hazel, Layla, Rylee on 2016/08/10?\", \"yes\"], [\"Did I talk to anyone on 2016/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10054\", \"logical_representation\": [\"2016/08/10\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/08/10?\", \"53 minutes\"], [\"what did I read on 2016/08/10?\", \"social media\"], [\"Did I read on 2016/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10055\", \"logical_representation\": [\"2016/08/10\", \"a tv series\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/10?\", \"30 minutes\"], [\"what did I watch on tv on 2016/08/10?\", \"a tv series\"], [\"Did I watch tv on 2016/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/11\": {\"exercise\": {\"eid\": \"e10056\", \"logical_representation\": [\"2016/08/11\", \"biking\"], \"text_template_based\": \"I did biking on 2016/08/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10057\", \"logical_representation\": [\"2016/08/11\", \"dinner\", \"sandwich\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/08/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10058\", \"logical_representation\": [\"2016/08/11\", \"Piper, Nora, Rylee\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Piper, Nora, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Rylee during lunch hours on 2016/08/11?\", \"18 minutes\"], [\"who did I talk to on 2016/08/11?\", \"Piper, Nora, Rylee\"], [\"Did I talk to Piper, Nora, Rylee on 2016/08/11?\", \"yes\"], [\"Did I talk to anyone on 2016/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10059\", \"logical_representation\": [\"2016/08/11\", \"Nora, Piper, Eva, Piper\", \"in the early evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Eva, Piper for 36 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Eva, Piper in the early evening on 2016/08/11?\", \"36 minutes\"], [\"who did I talk to on 2016/08/11?\", \"Nora, Piper, Eva, Piper\"], [\"Did I talk to Nora, Piper, Eva, Piper on 2016/08/11?\", \"yes\"], [\"Did I talk to anyone on 2016/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10060\", \"logical_representation\": [\"2016/08/11\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/08/11?\", \"46 minutes\"], [\"what did I read on 2016/08/11?\", \"news\"], [\"Did I read on 2016/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10061\", \"logical_representation\": [\"2016/08/11\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I watched a documentary for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/11?\", \"44 minutes\"], [\"what did I watch on tv on 2016/08/11?\", \"a documentary\"], [\"Did I watch tv on 2016/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/12\": {\"exercise\": {\"eid\": \"e10062\", \"logical_representation\": [\"2016/08/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/08/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10063\", \"logical_representation\": [\"2016/08/12\", \"breakfast\", \"oatmeal\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/08/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10064\", \"logical_representation\": [\"2016/08/12\", \"Piper, Avery\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Piper, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery late in the evening on 2016/08/12?\", \"14 minutes\"], [\"who did I talk to on 2016/08/12?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2016/08/12?\", \"yes\"], [\"Did I talk to anyone on 2016/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10065\", \"logical_representation\": [\"2016/08/12\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/08/12?\", \"32 minutes\"], [\"what did I read on 2016/08/12?\", \"social media\"], [\"Did I read on 2016/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10066\", \"logical_representation\": [\"2016/08/12\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I watched a movie for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/12?\", \"26 minutes\"], [\"what did I watch on tv on 2016/08/12?\", \"a movie\"], [\"Did I watch tv on 2016/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/13\": {\"lunch\": {\"eid\": \"e10067\", \"logical_representation\": [\"2016/08/13\", \"lunch\", \"chinese food\", \"Kayden, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/08/13?\", \"Kayden, Carter\"], [\"what did I eat for lunch on 2016/08/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10068\", \"logical_representation\": [\"2016/08/13\", \"dinner\", \"chinese food\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/08/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10069\", \"logical_representation\": [\"2016/08/13\", \"Piper, Claire, Rylee\", \"in the early afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Piper, Claire, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Rylee in the early afternoon on 2016/08/13?\", \"55 minutes\"], [\"who did I talk to on 2016/08/13?\", \"Piper, Claire, Rylee\"], [\"Did I talk to Piper, Claire, Rylee on 2016/08/13?\", \"yes\"], [\"Did I talk to anyone on 2016/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10070\", \"logical_representation\": [\"2016/08/13\", \"a movie\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/13?\", \"52 minutes\"], [\"what did I watch on tv on 2016/08/13?\", \"a movie\"], [\"Did I watch tv on 2016/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/14\": {\"lunch\": {\"eid\": \"e10071\", \"logical_representation\": [\"2016/08/14\", \"lunch\", \"fish and chips\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I had fish and chips for lunch with Jackson, Willow, Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/08/14?\", \"Jackson, Willow, Avery, Benjamin\"], [\"what did I eat for lunch on 2016/08/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2016/08/16\": {\"exercise\": {\"eid\": \"e10075\", \"logical_representation\": [\"2016/08/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/08/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10076\", \"logical_representation\": [\"2016/08/16\", \"lunch\", \"sushi\", \"Willow, Benjamin\"], \"text_template_based\": \"I had sushi for lunch with Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/08/16?\", \"Willow, Benjamin\"], [\"what did I eat for lunch on 2016/08/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10077\", \"logical_representation\": [\"2016/08/16\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/08/16?\", \"7 minutes\"], [\"what did I read on 2016/08/16?\", \"news\"], [\"Did I read on 2016/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10078\", \"logical_representation\": [\"2016/08/16\", \"a tv series\", \"51 minutes\"], \"text_template_based\": \"I watched a tv series for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/16?\", \"51 minutes\"], [\"what did I watch on tv on 2016/08/16?\", \"a tv series\"], [\"Did I watch tv on 2016/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/17\": {\"exercise\": {\"eid\": \"e10079\", \"logical_representation\": [\"2016/08/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/08/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10080\", \"logical_representation\": [\"2016/08/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora, Nevaeh, Piper, Kinsley, Hazel, Lydia, Eva, Claire, Rylee, Olivia, Piper, Avery\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/08/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10081\", \"logical_representation\": [\"2016/08/17\", \"a movie\", \"8 minutes\"], \"text_template_based\": \"I watched a movie for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/17?\", \"8 minutes\"], [\"what did I watch on tv on 2016/08/17?\", \"a movie\"], [\"Did I watch tv on 2016/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/18\": {\"exercise\": {\"eid\": \"e10082\", \"logical_representation\": [\"2016/08/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/08/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10083\", \"logical_representation\": [\"2016/08/18\", \"lunch\", \"chinese food\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10084\", \"logical_representation\": [\"2016/08/18\", \"Nora, Claire, Avery, Lydia\", \"in the late afternoon\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Nora, Claire, Avery, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Avery, Lydia in the late afternoon on 2016/08/18?\", \"31 minutes\"], [\"who did I talk to on 2016/08/18?\", \"Nora, Claire, Avery, Lydia\"], [\"Did I talk to Nora, Claire, Avery, Lydia on 2016/08/18?\", \"yes\"], [\"Did I talk to anyone on 2016/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10085\", \"logical_representation\": [\"2016/08/18\", \"Nevaeh, Layla\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Layla for 37 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla during lunch hours on 2016/08/18?\", \"37 minutes\"], [\"who did I talk to on 2016/08/18?\", \"Nevaeh, Layla\"], [\"Did I talk to Nevaeh, Layla on 2016/08/18?\", \"yes\"], [\"Did I talk to anyone on 2016/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10086\", \"logical_representation\": [\"2016/08/18\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/18?\", \"27 minutes\"], [\"what did I watch on tv on 2016/08/18?\", \"a documentary\"], [\"Did I watch tv on 2016/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/19\": {\"breakfast\": {\"eid\": \"e10087\", \"logical_representation\": [\"2016/08/19\", \"breakfast\", \"pancakes\", \"Nora, Rylee, Layla\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/08/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10088\", \"logical_representation\": [\"2016/08/19\", \"lunch\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10089\", \"logical_representation\": [\"2016/08/19\", \"dinner\", \"chinese food\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/08/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10090\", \"logical_representation\": [\"2016/08/19\", \"Nora, Lydia, Hazel, Avery\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Nora, Lydia, Hazel, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Hazel, Avery during lunch hours on 2016/08/19?\", \"31 minutes\"], [\"who did I talk to on 2016/08/19?\", \"Nora, Lydia, Hazel, Avery\"], [\"Did I talk to Nora, Lydia, Hazel, Avery on 2016/08/19?\", \"yes\"], [\"Did I talk to anyone on 2016/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10091\", \"logical_representation\": [\"2016/08/19\", \"Nevaeh, Olivia, Nora\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Nevaeh, Olivia, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Nora in the late afternoon on 2016/08/19?\", \"46 minutes\"], [\"who did I talk to on 2016/08/19?\", \"Nevaeh, Olivia, Nora\"], [\"Did I talk to Nevaeh, Olivia, Nora on 2016/08/19?\", \"yes\"], [\"Did I talk to anyone on 2016/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10092\", \"logical_representation\": [\"2016/08/19\", \"a documentary\", \"31 minutes\"], \"text_template_based\": \"I watched a documentary for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/19?\", \"31 minutes\"], [\"what did I watch on tv on 2016/08/19?\", \"a documentary\"], [\"Did I watch tv on 2016/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/20\": {\"exercise\": {\"eid\": \"e10093\", \"logical_representation\": [\"2016/08/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/08/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10094\", \"logical_representation\": [\"2016/08/20\", \"Layla, Avery\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Layla, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery late in the evening on 2016/08/20?\", \"28 minutes\"], [\"who did I talk to on 2016/08/20?\", \"Layla, Avery\"], [\"Did I talk to Layla, Avery on 2016/08/20?\", \"yes\"], [\"Did I talk to anyone on 2016/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/21\": {\"exercise\": {\"eid\": \"e10095\", \"logical_representation\": [\"2016/08/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/08/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10096\", \"logical_representation\": [\"2016/08/21\", \"lunch\", \"indian food\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10097\", \"logical_representation\": [\"2016/08/21\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/08/21?\", \"22 minutes\"], [\"what did I read on 2016/08/21?\", \"news\"], [\"Did I read on 2016/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10098\", \"logical_representation\": [\"2016/08/21\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/21?\", \"17 minutes\"], [\"what did I watch on tv on 2016/08/21?\", \"news\"], [\"Did I watch tv on 2016/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/22\": {\"exercise\": {\"eid\": \"e10099\", \"logical_representation\": [\"2016/08/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/08/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10100\", \"logical_representation\": [\"2016/08/22\", \"lunch\", \"sandwich\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10101\", \"logical_representation\": [\"2016/08/22\", \"dinner\", \"pasta\", \"Benjamin, Avery\"], \"text_template_based\": \"I had pasta for dinner with Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/08/22?\", \"Benjamin, Avery\"], [\"what did I eat for dinner on 2016/08/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10102\", \"logical_representation\": [\"2016/08/22\", \"Rylee\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2016/08/22?\", \"32 minutes\"], [\"who did I talk to on 2016/08/22?\", \"Rylee\"], [\"Did I talk to Rylee on 2016/08/22?\", \"yes\"], [\"Did I talk to anyone on 2016/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10103\", \"logical_representation\": [\"2016/08/22\", \"Lydia\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2016/08/22?\", \"40 minutes\"], [\"who did I talk to on 2016/08/22?\", \"Lydia\"], [\"Did I talk to Lydia on 2016/08/22?\", \"yes\"], [\"Did I talk to anyone on 2016/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10104\", \"logical_representation\": [\"2016/08/22\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/08/22?\", \"46 minutes\"], [\"what did I read on 2016/08/22?\", \"social media\"], [\"Did I read on 2016/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/24\": {\"exercise\": {\"eid\": \"e10110\", \"logical_representation\": [\"2016/08/24\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/08/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/24?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10111\", \"logical_representation\": [\"2016/08/24\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/08/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10112\", \"logical_representation\": [\"2016/08/24\", \"lunch\", \"sushi\", \"Carter, Andrew\"], \"text_template_based\": \"I had sushi for lunch with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/08/24?\", \"Carter, Andrew\"], [\"what did I eat for lunch on 2016/08/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10113\", \"logical_representation\": [\"2016/08/24\", \"a movie\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/24?\", \"55 minutes\"], [\"what did I watch on tv on 2016/08/24?\", \"a movie\"], [\"Did I watch tv on 2016/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/25\": {\"exercise\": {\"eid\": \"e10114\", \"logical_representation\": [\"2016/08/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/08/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2016/08/26\": {\"exercise\": {\"eid\": \"e10115\", \"logical_representation\": [\"2016/08/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/08/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10116\", \"logical_representation\": [\"2016/08/26\", \"breakfast\", \"toast and cheese\", \"Olivia, Rylee, Nevaeh, Piper, Kinsley, Piper, Hazel, Layla, Avery, Eva, Nora, Claire, Lydia\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/08/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10117\", \"logical_representation\": [\"2016/08/26\", \"Eva, Olivia, Nevaeh\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Eva, Olivia, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Nevaeh during lunch hours on 2016/08/26?\", \"24 minutes\"], [\"who did I talk to on 2016/08/26?\", \"Eva, Olivia, Nevaeh\"], [\"Did I talk to Eva, Olivia, Nevaeh on 2016/08/26?\", \"yes\"], [\"Did I talk to anyone on 2016/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10118\", \"logical_representation\": [\"2016/08/26\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/08/26?\", \"54 minutes\"], [\"what did I read on 2016/08/26?\", \"news\"], [\"Did I read on 2016/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/27\": {\"chat0\": {\"eid\": \"e10119\", \"logical_representation\": [\"2016/08/27\", \"Kinsley, Lydia, Piper, Layla\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia, Piper, Layla for 47 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Piper, Layla late in the evening on 2016/08/27?\", \"47 minutes\"], [\"who did I talk to on 2016/08/27?\", \"Kinsley, Lydia, Piper, Layla\"], [\"Did I talk to Kinsley, Lydia, Piper, Layla on 2016/08/27?\", \"yes\"], [\"Did I talk to anyone on 2016/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10120\", \"logical_representation\": [\"2016/08/27\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/08/27?\", \"22 minutes\"], [\"what did I read on 2016/08/27?\", \"a book\"], [\"Did I read on 2016/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10121\", \"logical_representation\": [\"2016/08/27\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/27?\", \"7 minutes\"], [\"what did I watch on tv on 2016/08/27?\", \"a tv series\"], [\"Did I watch tv on 2016/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/28\": {\"breakfast\": {\"eid\": \"e10122\", \"logical_representation\": [\"2016/08/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Nevaeh, Layla, Olivia, Kinsley, Lydia, Hazel, Nora, Avery, Claire, Piper\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/08/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10123\", \"logical_representation\": [\"2016/08/28\", \"Avery, Nevaeh, Kinsley, Piper\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Avery, Nevaeh, Kinsley, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Kinsley, Piper late in the evening on 2016/08/28?\", \"18 minutes\"], [\"who did I talk to on 2016/08/28?\", \"Avery, Nevaeh, Kinsley, Piper\"], [\"Did I talk to Avery, Nevaeh, Kinsley, Piper on 2016/08/28?\", \"yes\"], [\"Did I talk to anyone on 2016/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10124\", \"logical_representation\": [\"2016/08/28\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/08/28?\", \"27 minutes\"], [\"what did I read on 2016/08/28?\", \"social media\"], [\"Did I read on 2016/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10125\", \"logical_representation\": [\"2016/08/28\", \"news\", \"7 minutes\"], \"text_template_based\": \"I watched news for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/28?\", \"7 minutes\"], [\"what did I watch on tv on 2016/08/28?\", \"news\"], [\"Did I watch tv on 2016/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/29\": {\"exercise\": {\"eid\": \"e10126\", \"logical_representation\": [\"2016/08/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/08/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10127\", \"logical_representation\": [\"2016/08/29\", \"breakfast\", \"pancakes\", \"Carter, Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/08/29?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2016/08/29\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10128\", \"logical_representation\": [\"2016/08/29\", \"lunch\", \"indian food\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10129\", \"logical_representation\": [\"2016/08/29\", \"dinner\", \"indian food\", \"Layla, Eva, Nora, Kinsley, Nevaeh, Olivia, Piper\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/08/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10130\", \"logical_representation\": [\"2016/08/29\", \"Layla, Avery, Kinsley\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Layla, Avery, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Kinsley during lunch hours on 2016/08/29?\", \"8 minutes\"], [\"who did I talk to on 2016/08/29?\", \"Layla, Avery, Kinsley\"], [\"Did I talk to Layla, Avery, Kinsley on 2016/08/29?\", \"yes\"], [\"Did I talk to anyone on 2016/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10131\", \"logical_representation\": [\"2016/08/29\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/08/29?\", \"53 minutes\"], [\"what did I read on 2016/08/29?\", \"a book\"], [\"Did I read on 2016/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10132\", \"logical_representation\": [\"2016/08/29\", \"a tv series\", \"41 minutes\"], \"text_template_based\": \"I watched a tv series for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/29?\", \"41 minutes\"], [\"what did I watch on tv on 2016/08/29?\", \"a tv series\"], [\"Did I watch tv on 2016/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/31\": {\"exercise\": {\"eid\": \"e10140\", \"logical_representation\": [\"2016/08/31\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/08/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/31?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10141\", \"logical_representation\": [\"2016/08/31\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Nora, Piper, Hazel, Lydia, Kinsley, Eva, Claire, Olivia, Rylee, Piper, Layla, Nevaeh\"], \"text_template_based\": \"I had breakfast with Avery, Nora, Piper, Hazel, Lydia, Kinsley, Eva, Claire, Olivia, Rylee, Piper, Layla, Nevaeh. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/08/31?\", \"Avery, Nora, Piper, Hazel, Lydia, Kinsley, Eva, Claire, Olivia, Rylee, Piper, Layla, Nevaeh\"], [\"what did I eat for breakfast on 2016/08/31\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10142\", \"logical_representation\": [\"2016/08/31\", \"Olivia\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I talked to Olivia for 35 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the morning on 2016/08/31?\", \"35 minutes\"], [\"who did I talk to on 2016/08/31?\", \"Olivia\"], [\"Did I talk to Olivia on 2016/08/31?\", \"yes\"], [\"Did I talk to anyone on 2016/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10143\", \"logical_representation\": [\"2016/08/31\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/08/31?\", \"47 minutes\"], [\"what did I read on 2016/08/31?\", \"a book\"], [\"Did I read on 2016/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10144\", \"logical_representation\": [\"2016/08/31\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/31?\", \"12 minutes\"], [\"what did I watch on tv on 2016/08/31?\", \"news\"], [\"Did I watch tv on 2016/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/01\": {\"dinner\": {\"eid\": \"e10145\", \"logical_representation\": [\"2016/09/01\", \"dinner\", \"pasta\", \"Rylee, Nora\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/09/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10146\", \"logical_representation\": [\"2016/09/01\", \"Claire, Piper, Nora, Piper\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Nora, Piper for 9 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Nora, Piper during lunch hours on 2016/09/01?\", \"9 minutes\"], [\"who did I talk to on 2016/09/01?\", \"Claire, Piper, Nora, Piper\"], [\"Did I talk to Claire, Piper, Nora, Piper on 2016/09/01?\", \"yes\"], [\"Did I talk to anyone on 2016/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/02\": {\"dinner\": {\"eid\": \"e10147\", \"logical_representation\": [\"2016/09/02\", \"dinner\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I had fish and chips for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/09/02?\", \"Andrew\"], [\"what did I eat for dinner on 2016/09/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10148\", \"logical_representation\": [\"2016/09/02\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/09/02?\", \"7 minutes\"], [\"what did I read on 2016/09/02?\", \"news\"], [\"Did I read on 2016/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/04\": {\"exercise\": {\"eid\": \"e10155\", \"logical_representation\": [\"2016/09/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/09/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10156\", \"logical_representation\": [\"2016/09/04\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/09/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10157\", \"logical_representation\": [\"2016/09/04\", \"Layla, Eva\", \"in the early afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Layla, Eva for 14 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva in the early afternoon on 2016/09/04?\", \"14 minutes\"], [\"who did I talk to on 2016/09/04?\", \"Layla, Eva\"], [\"Did I talk to Layla, Eva on 2016/09/04?\", \"yes\"], [\"Did I talk to anyone on 2016/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10158\", \"logical_representation\": [\"2016/09/04\", \"a documentary\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/04?\", \"41 minutes\"], [\"what did I watch on tv on 2016/09/04?\", \"a documentary\"], [\"Did I watch tv on 2016/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/06\": {\"breakfast\": {\"eid\": \"e10163\", \"logical_representation\": [\"2016/09/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/09/06?\", \"Willow\"], [\"what did I eat for breakfast on 2016/09/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10164\", \"logical_representation\": [\"2016/09/06\", \"dinner\", \"chinese food\", \"Piper, Eva, Hazel, Olivia, Lydia, Avery, Piper, Rylee\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/09/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10165\", \"logical_representation\": [\"2016/09/06\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/06?\", \"11 minutes\"], [\"what did I watch on tv on 2016/09/06?\", \"a movie\"], [\"Did I watch tv on 2016/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/08\": {\"exercise\": {\"eid\": \"e10170\", \"logical_representation\": [\"2016/09/08\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/09/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/08?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10171\", \"logical_representation\": [\"2016/09/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10172\", \"logical_representation\": [\"2016/09/08\", \"lunch\", \"indian food\", \"Nevaeh\"], \"text_template_based\": \"I had indian food for lunch with Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/08?\", \"Nevaeh\"], [\"what did I eat for lunch on 2016/09/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10173\", \"logical_representation\": [\"2016/09/08\", \"Eva, Avery, Nevaeh, Olivia\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Eva, Avery, Nevaeh, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Nevaeh, Olivia in the early evening on 2016/09/08?\", \"25 minutes\"], [\"who did I talk to on 2016/09/08?\", \"Eva, Avery, Nevaeh, Olivia\"], [\"Did I talk to Eva, Avery, Nevaeh, Olivia on 2016/09/08?\", \"yes\"], [\"Did I talk to anyone on 2016/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10174\", \"logical_representation\": [\"2016/09/08\", \"Rylee, Kinsley\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Rylee, Kinsley for 8 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley in the early afternoon on 2016/09/08?\", \"8 minutes\"], [\"who did I talk to on 2016/09/08?\", \"Rylee, Kinsley\"], [\"Did I talk to Rylee, Kinsley on 2016/09/08?\", \"yes\"], [\"Did I talk to anyone on 2016/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10175\", \"logical_representation\": [\"2016/09/08\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/09/08?\", \"55 minutes\"], [\"what did I read on 2016/09/08?\", \"news\"], [\"Did I read on 2016/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/09\": {\"lunch\": {\"eid\": \"e10176\", \"logical_representation\": [\"2016/09/09\", \"lunch\", \"tacos\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had tacos for lunch with Avery, Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/09?\", \"Avery, Benjamin, Willow\"], [\"what did I eat for lunch on 2016/09/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10177\", \"logical_representation\": [\"2016/09/09\", \"Piper, Olivia, Piper, Eva\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia, Piper, Eva for 51 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Piper, Eva in the early afternoon on 2016/09/09?\", \"51 minutes\"], [\"who did I talk to on 2016/09/09?\", \"Piper, Olivia, Piper, Eva\"], [\"Did I talk to Piper, Olivia, Piper, Eva on 2016/09/09?\", \"yes\"], [\"Did I talk to anyone on 2016/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10178\", \"logical_representation\": [\"2016/09/09\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/09/09?\", \"34 minutes\"], [\"what did I read on 2016/09/09?\", \"social media\"], [\"Did I read on 2016/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10179\", \"logical_representation\": [\"2016/09/09\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I watched a movie for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/09?\", \"13 minutes\"], [\"what did I watch on tv on 2016/09/09?\", \"a movie\"], [\"Did I watch tv on 2016/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/10\": {\"exercise\": {\"eid\": \"e10180\", \"logical_representation\": [\"2016/09/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/09/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10181\", \"logical_representation\": [\"2016/09/10\", \"breakfast\", \"pancakes\", \"Piper, Nora, Eva, Hazel, Rylee, Layla, Olivia, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10182\", \"logical_representation\": [\"2016/09/10\", \"dinner\", \"indian food\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/09/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10183\", \"logical_representation\": [\"2016/09/10\", \"Layla\", \"in the early evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2016/09/10?\", \"36 minutes\"], [\"who did I talk to on 2016/09/10?\", \"Layla\"], [\"Did I talk to Layla on 2016/09/10?\", \"yes\"], [\"Did I talk to anyone on 2016/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10184\", \"logical_representation\": [\"2016/09/10\", \"Lydia, Claire, Nevaeh\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Lydia, Claire, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Nevaeh in the late afternoon on 2016/09/10?\", \"11 minutes\"], [\"who did I talk to on 2016/09/10?\", \"Lydia, Claire, Nevaeh\"], [\"Did I talk to Lydia, Claire, Nevaeh on 2016/09/10?\", \"yes\"], [\"Did I talk to anyone on 2016/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10185\", \"logical_representation\": [\"2016/09/10\", \"news\", \"38 minutes\"], \"text_template_based\": \"I watched news for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/10?\", \"38 minutes\"], [\"what did I watch on tv on 2016/09/10?\", \"news\"], [\"Did I watch tv on 2016/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/11\": {\"breakfast\": {\"eid\": \"e10186\", \"logical_representation\": [\"2016/09/11\", \"breakfast\", \"toast and cheese\", \"Layla, Avery, Piper\"], \"text_template_based\": \"I had toast and cheese for breakfast with Layla, Avery, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/09/11?\", \"Layla, Avery, Piper\"], [\"what did I eat for breakfast on 2016/09/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10187\", \"logical_representation\": [\"2016/09/11\", \"Avery, Eva, Kinsley\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Avery, Eva, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Kinsley in the morning on 2016/09/11?\", \"43 minutes\"], [\"who did I talk to on 2016/09/11?\", \"Avery, Eva, Kinsley\"], [\"Did I talk to Avery, Eva, Kinsley on 2016/09/11?\", \"yes\"], [\"Did I talk to anyone on 2016/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/12\": {\"breakfast\": {\"eid\": \"e10188\", \"logical_representation\": [\"2016/09/12\", \"breakfast\", \"oatmeal\", \"Kayden\"], \"text_template_based\": \"I had oatmeal for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/09/12?\", \"Kayden\"], [\"what did I eat for breakfast on 2016/09/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10189\", \"logical_representation\": [\"2016/09/12\", \"lunch\", \"pasta\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had pasta for lunch with Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/12?\", \"Carter, Kayden, Emily\"], [\"what did I eat for lunch on 2016/09/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10190\", \"logical_representation\": [\"2016/09/12\", \"dinner\", \"pasta\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Carter, Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/09/12?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for dinner on 2016/09/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10191\", \"logical_representation\": [\"2016/09/12\", \"Layla\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I talked to Layla for 27 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2016/09/12?\", \"27 minutes\"], [\"who did I talk to on 2016/09/12?\", \"Layla\"], [\"Did I talk to Layla on 2016/09/12?\", \"yes\"], [\"Did I talk to anyone on 2016/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10192\", \"logical_representation\": [\"2016/09/12\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/09/12?\", \"37 minutes\"], [\"what did I read on 2016/09/12?\", \"social media\"], [\"Did I read on 2016/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/13\": {\"lunch\": {\"eid\": \"e10193\", \"logical_representation\": [\"2016/09/13\", \"lunch\", \"indian food\", \"Hazel, Eva, Layla, Lydia, Claire, Kinsley\"], \"text_template_based\": \"I had indian food for lunch with Hazel, Eva, Layla, Lydia, Claire, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/13?\", \"Hazel, Eva, Layla, Lydia, Claire, Kinsley\"], [\"what did I eat for lunch on 2016/09/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10194\", \"logical_representation\": [\"2016/09/13\", \"Eva, Rylee\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee for 6 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee in the early evening on 2016/09/13?\", \"6 minutes\"], [\"who did I talk to on 2016/09/13?\", \"Eva, Rylee\"], [\"Did I talk to Eva, Rylee on 2016/09/13?\", \"yes\"], [\"Did I talk to anyone on 2016/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10195\", \"logical_representation\": [\"2016/09/13\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/09/13?\", \"27 minutes\"], [\"what did I read on 2016/09/13?\", \"a book\"], [\"Did I read on 2016/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/15\": {\"exercise\": {\"eid\": \"e10200\", \"logical_representation\": [\"2016/09/15\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/15?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10201\", \"logical_representation\": [\"2016/09/15\", \"breakfast\", \"toast and cheese\", \"Piper, Kinsley, Eva, Avery, Nevaeh, Olivia, Nora, Claire, Hazel, Layla, Rylee, Lydia\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10202\", \"logical_representation\": [\"2016/09/15\", \"lunch\", \"fish and chips\", \"Benjamin\"], \"text_template_based\": \"I had lunch with Benjamin. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/15?\", \"Benjamin\"], [\"what did I eat for lunch on 2016/09/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10203\", \"logical_representation\": [\"2016/09/15\", \"dinner\", \"indian food\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I had dinner with Willow, Avery, Jackson. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/09/15?\", \"Willow, Avery, Jackson\"], [\"what did I eat for dinner on 2016/09/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10204\", \"logical_representation\": [\"2016/09/15\", \"Piper, Olivia, Avery, Claire\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia, Avery, Claire for 21 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Avery, Claire during lunch hours on 2016/09/15?\", \"21 minutes\"], [\"who did I talk to on 2016/09/15?\", \"Piper, Olivia, Avery, Claire\"], [\"Did I talk to Piper, Olivia, Avery, Claire on 2016/09/15?\", \"yes\"], [\"Did I talk to anyone on 2016/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/16\": {\"exercise\": {\"eid\": \"e10205\", \"logical_representation\": [\"2016/09/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10206\", \"logical_representation\": [\"2016/09/16\", \"lunch\", \"chinese food\", \"Kinsley, Olivia, Piper, Avery, Lydia, Claire, Eva, Nora, Nevaeh, Layla, Rylee, Piper\"], \"text_template_based\": \"I had chinese food for lunch with Kinsley, Olivia, Piper, Avery, Lydia, Claire, Eva, Nora, Nevaeh, Layla, Rylee, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/16?\", \"Kinsley, Olivia, Piper, Avery, Lydia, Claire, Eva, Nora, Nevaeh, Layla, Rylee, Piper\"], [\"what did I eat for lunch on 2016/09/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10207\", \"logical_representation\": [\"2016/09/16\", \"dinner\", \"pasta\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Emily, Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/09/16?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2016/09/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10208\", \"logical_representation\": [\"2016/09/16\", \"Claire, Olivia\", \"in the morning\", \"23 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia for 23 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia in the morning on 2016/09/16?\", \"23 minutes\"], [\"who did I talk to on 2016/09/16?\", \"Claire, Olivia\"], [\"Did I talk to Claire, Olivia on 2016/09/16?\", \"yes\"], [\"Did I talk to anyone on 2016/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/18\": {\"exercise\": {\"eid\": \"e10212\", \"logical_representation\": [\"2016/09/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/09/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10213\", \"logical_representation\": [\"2016/09/18\", \"lunch\", \"pasta\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/09/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10214\", \"logical_representation\": [\"2016/09/18\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/09/18?\", \"33 minutes\"], [\"what did I read on 2016/09/18?\", \"a book\"], [\"Did I read on 2016/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/19\": {\"breakfast\": {\"eid\": \"e10215\", \"logical_representation\": [\"2016/09/19\", \"breakfast\", \"oatmeal\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/09/19?\", \"Andrew\"], [\"what did I eat for breakfast on 2016/09/19\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10216\", \"logical_representation\": [\"2016/09/19\", \"Olivia, Piper, Layla\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Olivia, Piper, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Layla in the morning on 2016/09/19?\", \"40 minutes\"], [\"who did I talk to on 2016/09/19?\", \"Olivia, Piper, Layla\"], [\"Did I talk to Olivia, Piper, Layla on 2016/09/19?\", \"yes\"], [\"Did I talk to anyone on 2016/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/21\": {\"breakfast\": {\"eid\": \"e10221\", \"logical_representation\": [\"2016/09/21\", \"breakfast\", \"cereals\", \"Kinsley\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10222\", \"logical_representation\": [\"2016/09/21\", \"dinner\", \"a burger\", \"Emily, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Kayden. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/09/21?\", \"Emily, Kayden\"], [\"what did I eat for dinner on 2016/09/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10223\", \"logical_representation\": [\"2016/09/21\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/09/21?\", \"12 minutes\"], [\"what did I read on 2016/09/21?\", \"social media\"], [\"Did I read on 2016/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/22\": {\"exercise\": {\"eid\": \"e10224\", \"logical_representation\": [\"2016/09/22\", \"running\"], \"text_template_based\": \"I did running on 2016/09/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10225\", \"logical_representation\": [\"2016/09/22\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10226\", \"logical_representation\": [\"2016/09/22\", \"dinner\", \"tacos\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Emily, Andrew, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/09/22?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2016/09/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10227\", \"logical_representation\": [\"2016/09/22\", \"Layla, Hazel\", \"in the early evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Layla, Hazel for 46 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel in the early evening on 2016/09/22?\", \"46 minutes\"], [\"who did I talk to on 2016/09/22?\", \"Layla, Hazel\"], [\"Did I talk to Layla, Hazel on 2016/09/22?\", \"yes\"], [\"Did I talk to anyone on 2016/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/24\": {\"exercise\": {\"eid\": \"e10231\", \"logical_representation\": [\"2016/09/24\", \"biking\"], \"text_template_based\": \"I did biking on 2016/09/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10232\", \"logical_representation\": [\"2016/09/24\", \"breakfast\", \"oatmeal\", \"Claire, Nevaeh, Nora, Lydia, Kinsley, Piper\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10233\", \"logical_representation\": [\"2016/09/24\", \"lunch\", \"sushi\", \"Emily, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/24?\", \"Emily, Andrew\"], [\"what did I eat for lunch on 2016/09/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10234\", \"logical_representation\": [\"2016/09/24\", \"dinner\", \"sushi\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/09/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10235\", \"logical_representation\": [\"2016/09/24\", \"Olivia\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Olivia for 41 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2016/09/24?\", \"41 minutes\"], [\"who did I talk to on 2016/09/24?\", \"Olivia\"], [\"Did I talk to Olivia on 2016/09/24?\", \"yes\"], [\"Did I talk to anyone on 2016/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10236\", \"logical_representation\": [\"2016/09/24\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/09/24?\", \"31 minutes\"], [\"what did I read on 2016/09/24?\", \"news\"], [\"Did I read on 2016/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/25\": {\"breakfast\": {\"eid\": \"e10237\", \"logical_representation\": [\"2016/09/25\", \"breakfast\", \"oatmeal\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10238\", \"logical_representation\": [\"2016/09/25\", \"Kinsley, Eva\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva for 46 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva during lunch hours on 2016/09/25?\", \"46 minutes\"], [\"who did I talk to on 2016/09/25?\", \"Kinsley, Eva\"], [\"Did I talk to Kinsley, Eva on 2016/09/25?\", \"yes\"], [\"Did I talk to anyone on 2016/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10239\", \"logical_representation\": [\"2016/09/25\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I watched a tv series for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/25?\", \"17 minutes\"], [\"what did I watch on tv on 2016/09/25?\", \"a tv series\"], [\"Did I watch tv on 2016/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/26\": {\"breakfast\": {\"eid\": \"e10240\", \"logical_representation\": [\"2016/09/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/09/26?\", \"Emily\"], [\"what did I eat for breakfast on 2016/09/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10241\", \"logical_representation\": [\"2016/09/26\", \"lunch\", \"tacos\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/09/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10242\", \"logical_representation\": [\"2016/09/26\", \"dinner\", \"pasta\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/09/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10243\", \"logical_representation\": [\"2016/09/26\", \"Layla\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Layla for 13 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2016/09/26?\", \"13 minutes\"], [\"who did I talk to on 2016/09/26?\", \"Layla\"], [\"Did I talk to Layla on 2016/09/26?\", \"yes\"], [\"Did I talk to anyone on 2016/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10244\", \"logical_representation\": [\"2016/09/26\", \"Piper, Lydia, Piper, Claire\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Piper, Lydia, Piper, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Piper, Claire in the early afternoon on 2016/09/26?\", \"9 minutes\"], [\"who did I talk to on 2016/09/26?\", \"Piper, Lydia, Piper, Claire\"], [\"Did I talk to Piper, Lydia, Piper, Claire on 2016/09/26?\", \"yes\"], [\"Did I talk to anyone on 2016/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10245\", \"logical_representation\": [\"2016/09/26\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/26?\", \"28 minutes\"], [\"what did I watch on tv on 2016/09/26?\", \"news\"], [\"Did I watch tv on 2016/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/27\": {\"breakfast\": {\"eid\": \"e10246\", \"logical_representation\": [\"2016/09/27\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Emily, Carter. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/09/27?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for breakfast on 2016/09/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10247\", \"logical_representation\": [\"2016/09/27\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/09/27?\", \"6 minutes\"], [\"what did I read on 2016/09/27?\", \"a book\"], [\"Did I read on 2016/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/29\": {\"exercise\": {\"eid\": \"e10249\", \"logical_representation\": [\"2016/09/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/09/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10250\", \"logical_representation\": [\"2016/09/29\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Olivia, Kinsley, Layla, Lydia, Claire, Eva, Piper\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Rylee, Olivia, Kinsley, Layla, Lydia, Claire, Eva, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/09/29?\", \"Rylee, Olivia, Kinsley, Layla, Lydia, Claire, Eva, Piper\"], [\"what did I eat for breakfast on 2016/09/29\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10251\", \"logical_representation\": [\"2016/09/29\", \"dinner\", \"chinese food\", \"Carter, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Andrew. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/09/29?\", \"Carter, Andrew\"], [\"what did I eat for dinner on 2016/09/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10252\", \"logical_representation\": [\"2016/09/29\", \"Nevaeh, Lydia, Claire, Nora\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia, Claire, Nora for 21 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Claire, Nora late in the evening on 2016/09/29?\", \"21 minutes\"], [\"who did I talk to on 2016/09/29?\", \"Nevaeh, Lydia, Claire, Nora\"], [\"Did I talk to Nevaeh, Lydia, Claire, Nora on 2016/09/29?\", \"yes\"], [\"Did I talk to anyone on 2016/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10253\", \"logical_representation\": [\"2016/09/29\", \"Eva\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2016/09/29?\", \"28 minutes\"], [\"who did I talk to on 2016/09/29?\", \"Eva\"], [\"Did I talk to Eva on 2016/09/29?\", \"yes\"], [\"Did I talk to anyone on 2016/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10254\", \"logical_representation\": [\"2016/09/29\", \"a movie\", \"30 minutes\"], \"text_template_based\": \"I watched a movie for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/29?\", \"30 minutes\"], [\"what did I watch on tv on 2016/09/29?\", \"a movie\"], [\"Did I watch tv on 2016/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/30\": {\"exercise\": {\"eid\": \"e10255\", \"logical_representation\": [\"2016/09/30\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/09/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/30?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10256\", \"logical_representation\": [\"2016/09/30\", \"breakfast\", \"pancakes\", \"Piper\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10257\", \"logical_representation\": [\"2016/09/30\", \"Nora, Nevaeh\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I talked to Nora, Nevaeh for 25 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh during lunch hours on 2016/09/30?\", \"25 minutes\"], [\"who did I talk to on 2016/09/30?\", \"Nora, Nevaeh\"], [\"Did I talk to Nora, Nevaeh on 2016/09/30?\", \"yes\"], [\"Did I talk to anyone on 2016/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10258\", \"logical_representation\": [\"2016/09/30\", \"Eva, Olivia\", \"in the early evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Eva, Olivia for 31 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia in the early evening on 2016/09/30?\", \"31 minutes\"], [\"who did I talk to on 2016/09/30?\", \"Eva, Olivia\"], [\"Did I talk to Eva, Olivia on 2016/09/30?\", \"yes\"], [\"Did I talk to anyone on 2016/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10259\", \"logical_representation\": [\"2016/09/30\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/09/30?\", \"36 minutes\"], [\"what did I read on 2016/09/30?\", \"news\"], [\"Did I read on 2016/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10260\", \"logical_representation\": [\"2016/09/30\", \"a movie\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/30?\", \"31 minutes\"], [\"what did I watch on tv on 2016/09/30?\", \"a movie\"], [\"Did I watch tv on 2016/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/01\": {\"chat0\": {\"eid\": \"e10261\", \"logical_representation\": [\"2016/10/01\", \"Hazel\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Hazel for 50 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2016/10/01?\", \"50 minutes\"], [\"who did I talk to on 2016/10/01?\", \"Hazel\"], [\"Did I talk to Hazel on 2016/10/01?\", \"yes\"], [\"Did I talk to anyone on 2016/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10262\", \"logical_representation\": [\"2016/10/01\", \"Rylee\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Rylee for 5 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2016/10/01?\", \"5 minutes\"], [\"who did I talk to on 2016/10/01?\", \"Rylee\"], [\"Did I talk to Rylee on 2016/10/01?\", \"yes\"], [\"Did I talk to anyone on 2016/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/03\": {\"exercise\": {\"eid\": \"e10268\", \"logical_representation\": [\"2016/10/03\", \"biking\"], \"text_template_based\": \"I did biking on 2016/10/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10269\", \"logical_representation\": [\"2016/10/03\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/10/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10270\", \"logical_representation\": [\"2016/10/03\", \"lunch\", \"sushi\", \"Hazel, Avery, Piper, Nora, Layla, Rylee, Claire, Kinsley, Nevaeh, Eva, Olivia, Lydia, Piper\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/10/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10271\", \"logical_representation\": [\"2016/10/03\", \"dinner\", \"sushi\", \"Emily, Andrew\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10272\", \"logical_representation\": [\"2016/10/03\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/10/03?\", \"46 minutes\"], [\"what did I read on 2016/10/03?\", \"a book\"], [\"Did I read on 2016/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/05\": {\"exercise\": {\"eid\": \"e10278\", \"logical_representation\": [\"2016/10/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/10/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10279\", \"logical_representation\": [\"2016/10/05\", \"lunch\", \"a burger\", \"Piper, Kinsley, Lydia, Avery, Eva, Claire, Olivia, Hazel, Piper, Layla, Rylee, Nevaeh\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/10/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10280\", \"logical_representation\": [\"2016/10/05\", \"dinner\", \"tacos\", \"Lydia, Piper, Claire, Layla, Kinsley\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10281\", \"logical_representation\": [\"2016/10/05\", \"Avery, Piper, Rylee\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Avery, Piper, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Rylee in the early afternoon on 2016/10/05?\", \"32 minutes\"], [\"who did I talk to on 2016/10/05?\", \"Avery, Piper, Rylee\"], [\"Did I talk to Avery, Piper, Rylee on 2016/10/05?\", \"yes\"], [\"Did I talk to anyone on 2016/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10282\", \"logical_representation\": [\"2016/10/05\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/10/05?\", \"25 minutes\"], [\"what did I read on 2016/10/05?\", \"a book\"], [\"Did I read on 2016/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/06\": {\"exercise\": {\"eid\": \"e10283\", \"logical_representation\": [\"2016/10/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/10/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10284\", \"logical_representation\": [\"2016/10/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/10/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10285\", \"logical_representation\": [\"2016/10/06\", \"lunch\", \"steak\", \"Kayden, Emily\"], \"text_template_based\": \"I had steak for lunch with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/10/06?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2016/10/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10286\", \"logical_representation\": [\"2016/10/06\", \"dinner\", \"sandwich\", \"Olivia, Kinsley, Lydia, Eva, Piper, Nora, Avery, Rylee, Claire, Nevaeh, Layla\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2016/10/07\": {\"breakfast\": {\"eid\": \"e10287\", \"logical_representation\": [\"2016/10/07\", \"breakfast\", \"cereals\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/10/07?\", \"Emily, Carter, Kayden\"], [\"what did I eat for breakfast on 2016/10/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10288\", \"logical_representation\": [\"2016/10/07\", \"dinner\", \"indian food\", \"Lydia, Piper, Claire, Nevaeh, Avery, Piper\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10289\", \"logical_representation\": [\"2016/10/07\", \"Layla, Hazel, Rylee, Nora\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I talked to Layla, Hazel, Rylee, Nora for 37 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Rylee, Nora in the morning on 2016/10/07?\", \"37 minutes\"], [\"who did I talk to on 2016/10/07?\", \"Layla, Hazel, Rylee, Nora\"], [\"Did I talk to Layla, Hazel, Rylee, Nora on 2016/10/07?\", \"yes\"], [\"Did I talk to anyone on 2016/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10290\", \"logical_representation\": [\"2016/10/07\", \"Rylee, Nevaeh, Eva\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh, Eva for 22 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Eva in the early afternoon on 2016/10/07?\", \"22 minutes\"], [\"who did I talk to on 2016/10/07?\", \"Rylee, Nevaeh, Eva\"], [\"Did I talk to Rylee, Nevaeh, Eva on 2016/10/07?\", \"yes\"], [\"Did I talk to anyone on 2016/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10291\", \"logical_representation\": [\"2016/10/07\", \"a movie\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/07?\", \"51 minutes\"], [\"what did I watch on tv on 2016/10/07?\", \"a movie\"], [\"Did I watch tv on 2016/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/09\": {\"exercise\": {\"eid\": \"e10295\", \"logical_representation\": [\"2016/10/09\", \"biking\"], \"text_template_based\": \"I did biking on 2016/10/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10296\", \"logical_representation\": [\"2016/10/09\", \"lunch\", \"steak\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/10/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10297\", \"logical_representation\": [\"2016/10/09\", \"dinner\", \"pasta\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/09\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10298\", \"logical_representation\": [\"2016/10/09\", \"Lydia, Hazel, Layla\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I talked to Lydia, Hazel, Layla for 13 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Layla in the morning on 2016/10/09?\", \"13 minutes\"], [\"who did I talk to on 2016/10/09?\", \"Lydia, Hazel, Layla\"], [\"Did I talk to Lydia, Hazel, Layla on 2016/10/09?\", \"yes\"], [\"Did I talk to anyone on 2016/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10299\", \"logical_representation\": [\"2016/10/09\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/10/09?\", \"30 minutes\"], [\"what did I read on 2016/10/09?\", \"a book\"], [\"Did I read on 2016/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/10\": {\"exercise\": {\"eid\": \"e10300\", \"logical_representation\": [\"2016/10/10\", \"biking\"], \"text_template_based\": \"I did biking on 2016/10/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10301\", \"logical_representation\": [\"2016/10/10\", \"dinner\", \"steak\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10302\", \"logical_representation\": [\"2016/10/10\", \"Piper, Lydia, Hazel\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Hazel for 38 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Hazel in the morning on 2016/10/10?\", \"38 minutes\"], [\"who did I talk to on 2016/10/10?\", \"Piper, Lydia, Hazel\"], [\"Did I talk to Piper, Lydia, Hazel on 2016/10/10?\", \"yes\"], [\"Did I talk to anyone on 2016/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10303\", \"logical_representation\": [\"2016/10/10\", \"Avery, Piper, Lydia, Kinsley\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Avery, Piper, Lydia, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Lydia, Kinsley during lunch hours on 2016/10/10?\", \"42 minutes\"], [\"who did I talk to on 2016/10/10?\", \"Avery, Piper, Lydia, Kinsley\"], [\"Did I talk to Avery, Piper, Lydia, Kinsley on 2016/10/10?\", \"yes\"], [\"Did I talk to anyone on 2016/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10304\", \"logical_representation\": [\"2016/10/10\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/10?\", \"14 minutes\"], [\"what did I watch on tv on 2016/10/10?\", \"news\"], [\"Did I watch tv on 2016/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/11\": {\"dinner\": {\"eid\": \"e10305\", \"logical_representation\": [\"2016/10/11\", \"dinner\", \"tacos\", \"Kayden, Carter\"], \"text_template_based\": \"I had tacos for dinner with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/10/11?\", \"Kayden, Carter\"], [\"what did I eat for dinner on 2016/10/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10306\", \"logical_representation\": [\"2016/10/11\", \"Layla\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2016/10/11?\", \"51 minutes\"], [\"who did I talk to on 2016/10/11?\", \"Layla\"], [\"Did I talk to Layla on 2016/10/11?\", \"yes\"], [\"Did I talk to anyone on 2016/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10307\", \"logical_representation\": [\"2016/10/11\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/10/11?\", \"19 minutes\"], [\"what did I read on 2016/10/11?\", \"social media\"], [\"Did I read on 2016/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/12\": {\"exercise\": {\"eid\": \"e10308\", \"logical_representation\": [\"2016/10/12\", \"biking\"], \"text_template_based\": \"I did biking on 2016/10/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/12?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10309\", \"logical_representation\": [\"2016/10/12\", \"breakfast\", \"toast and cheese\", \"Avery, Layla, Nora, Olivia, Nevaeh, Rylee, Lydia, Piper, Claire, Kinsley, Eva, Hazel, Piper\"], \"text_template_based\": \"I had breakfast with Avery, Layla, Nora, Olivia, Nevaeh, Rylee, Lydia, Piper, Claire, Kinsley, Eva, Hazel, Piper. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/10/12?\", \"Avery, Layla, Nora, Olivia, Nevaeh, Rylee, Lydia, Piper, Claire, Kinsley, Eva, Hazel, Piper\"], [\"what did I eat for breakfast on 2016/10/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10310\", \"logical_representation\": [\"2016/10/12\", \"lunch\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I had chinese food for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/10/12?\", \"Carter\"], [\"what did I eat for lunch on 2016/10/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10311\", \"logical_representation\": [\"2016/10/12\", \"Hazel, Piper, Nevaeh, Piper\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Nevaeh, Piper for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Nevaeh, Piper in the morning on 2016/10/12?\", \"32 minutes\"], [\"who did I talk to on 2016/10/12?\", \"Hazel, Piper, Nevaeh, Piper\"], [\"Did I talk to Hazel, Piper, Nevaeh, Piper on 2016/10/12?\", \"yes\"], [\"Did I talk to anyone on 2016/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10312\", \"logical_representation\": [\"2016/10/12\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/10/12?\", \"46 minutes\"], [\"what did I read on 2016/10/12?\", \"social media\"], [\"Did I read on 2016/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/13\": {\"exercise\": {\"eid\": \"e10313\", \"logical_representation\": [\"2016/10/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/10/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10314\", \"logical_representation\": [\"2016/10/13\", \"Avery\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Avery for 36 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2016/10/13?\", \"36 minutes\"], [\"who did I talk to on 2016/10/13?\", \"Avery\"], [\"Did I talk to Avery on 2016/10/13?\", \"yes\"], [\"Did I talk to anyone on 2016/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10315\", \"logical_representation\": [\"2016/10/13\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/10/13?\", \"20 minutes\"], [\"what did I read on 2016/10/13?\", \"news\"], [\"Did I read on 2016/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/14\": {\"exercise\": {\"eid\": \"e10316\", \"logical_representation\": [\"2016/10/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/10/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10317\", \"logical_representation\": [\"2016/10/14\", \"Nevaeh, Kinsley, Rylee, Eva\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Nevaeh, Kinsley, Rylee, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Rylee, Eva in the morning on 2016/10/14?\", \"52 minutes\"], [\"who did I talk to on 2016/10/14?\", \"Nevaeh, Kinsley, Rylee, Eva\"], [\"Did I talk to Nevaeh, Kinsley, Rylee, Eva on 2016/10/14?\", \"yes\"], [\"Did I talk to anyone on 2016/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10318\", \"logical_representation\": [\"2016/10/14\", \"social media\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/10/14?\", \"15 minutes\"], [\"what did I read on 2016/10/14?\", \"social media\"], [\"Did I read on 2016/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/15\": {\"exercise\": {\"eid\": \"e10319\", \"logical_representation\": [\"2016/10/15\", \"biking\"], \"text_template_based\": \"I did biking on 2016/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10320\", \"logical_representation\": [\"2016/10/15\", \"breakfast\", \"pancakes\", \"Hazel, Lydia, Nora\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/10/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10321\", \"logical_representation\": [\"2016/10/15\", \"Avery, Eva\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Avery, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva in the early evening on 2016/10/15?\", \"51 minutes\"], [\"who did I talk to on 2016/10/15?\", \"Avery, Eva\"], [\"Did I talk to Avery, Eva on 2016/10/15?\", \"yes\"], [\"Did I talk to anyone on 2016/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10322\", \"logical_representation\": [\"2016/10/15\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/10/15?\", \"28 minutes\"], [\"what did I read on 2016/10/15?\", \"a book\"], [\"Did I read on 2016/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/16\": {\"exercise\": {\"eid\": \"e10323\", \"logical_representation\": [\"2016/10/16\", \"running\"], \"text_template_based\": \"I did running on 2016/10/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10324\", \"logical_representation\": [\"2016/10/16\", \"lunch\", \"sandwich\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/10/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10325\", \"logical_representation\": [\"2016/10/16\", \"Piper, Avery, Eva\", \"in the morning\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Piper, Avery, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Eva in the morning on 2016/10/16?\", \"36 minutes\"], [\"who did I talk to on 2016/10/16?\", \"Piper, Avery, Eva\"], [\"Did I talk to Piper, Avery, Eva on 2016/10/16?\", \"yes\"], [\"Did I talk to anyone on 2016/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10326\", \"logical_representation\": [\"2016/10/16\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/10/16?\", \"23 minutes\"], [\"what did I read on 2016/10/16?\", \"news\"], [\"Did I read on 2016/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10327\", \"logical_representation\": [\"2016/10/16\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I watched a tv series for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/16?\", \"42 minutes\"], [\"what did I watch on tv on 2016/10/16?\", \"a tv series\"], [\"Did I watch tv on 2016/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/17\": {\"exercise\": {\"eid\": \"e10328\", \"logical_representation\": [\"2016/10/17\", \"running\"], \"text_template_based\": \"I did running on 2016/10/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10329\", \"logical_representation\": [\"2016/10/17\", \"dinner\", \"a burger\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10330\", \"logical_representation\": [\"2016/10/17\", \"Eva, Hazel\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Eva, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel in the early afternoon on 2016/10/17?\", \"7 minutes\"], [\"who did I talk to on 2016/10/17?\", \"Eva, Hazel\"], [\"Did I talk to Eva, Hazel on 2016/10/17?\", \"yes\"], [\"Did I talk to anyone on 2016/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/18\": {\"chat0\": {\"eid\": \"e10331\", \"logical_representation\": [\"2016/10/18\", \"Lydia\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Lydia for 30 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2016/10/18?\", \"30 minutes\"], [\"who did I talk to on 2016/10/18?\", \"Lydia\"], [\"Did I talk to Lydia on 2016/10/18?\", \"yes\"], [\"Did I talk to anyone on 2016/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/19\": {\"exercise\": {\"eid\": \"e10332\", \"logical_representation\": [\"2016/10/19\", \"running\"], \"text_template_based\": \"I did running on 2016/10/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10333\", \"logical_representation\": [\"2016/10/19\", \"lunch\", \"sushi\", \"Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/10/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10334\", \"logical_representation\": [\"2016/10/19\", \"Claire, Avery\", \"in the early afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Claire, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery in the early afternoon on 2016/10/19?\", \"50 minutes\"], [\"who did I talk to on 2016/10/19?\", \"Claire, Avery\"], [\"Did I talk to Claire, Avery on 2016/10/19?\", \"yes\"], [\"Did I talk to anyone on 2016/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10335\", \"logical_representation\": [\"2016/10/19\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/10/19?\", \"24 minutes\"], [\"what did I read on 2016/10/19?\", \"news\"], [\"Did I read on 2016/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/20\": {\"exercise\": {\"eid\": \"e10336\", \"logical_representation\": [\"2016/10/20\", \"running\"], \"text_template_based\": \"I did running on 2016/10/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/20?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10337\", \"logical_representation\": [\"2016/10/20\", \"breakfast\", \"toast and cheese\", \"Hazel, Piper, Rylee, Claire\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/10/20\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10338\", \"logical_representation\": [\"2016/10/20\", \"lunch\", \"a burger\", \"Jackson, Avery\"], \"text_template_based\": \"I had lunch with Jackson, Avery. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/10/20?\", \"Jackson, Avery\"], [\"what did I eat for lunch on 2016/10/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10339\", \"logical_representation\": [\"2016/10/20\", \"dinner\", \"fish and chips\", \"Rylee, Piper, Layla, Lydia\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10340\", \"logical_representation\": [\"2016/10/20\", \"Rylee, Eva\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Rylee, Eva for 10 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva in the late afternoon on 2016/10/20?\", \"10 minutes\"], [\"who did I talk to on 2016/10/20?\", \"Rylee, Eva\"], [\"Did I talk to Rylee, Eva on 2016/10/20?\", \"yes\"], [\"Did I talk to anyone on 2016/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10341\", \"logical_representation\": [\"2016/10/20\", \"Rylee\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2016/10/20?\", \"20 minutes\"], [\"who did I talk to on 2016/10/20?\", \"Rylee\"], [\"Did I talk to Rylee on 2016/10/20?\", \"yes\"], [\"Did I talk to anyone on 2016/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10342\", \"logical_representation\": [\"2016/10/20\", \"a tv series\", \"36 minutes\"], \"text_template_based\": \"I watched a tv series for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/20?\", \"36 minutes\"], [\"what did I watch on tv on 2016/10/20?\", \"a tv series\"], [\"Did I watch tv on 2016/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/21\": {\"exercise\": {\"eid\": \"e10343\", \"logical_representation\": [\"2016/10/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/10/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10344\", \"logical_representation\": [\"2016/10/21\", \"lunch\", \"tacos\", \"Benjamin\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/10/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10345\", \"logical_representation\": [\"2016/10/21\", \"Piper, Avery, Piper\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Piper for 10 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Piper late in the evening on 2016/10/21?\", \"10 minutes\"], [\"who did I talk to on 2016/10/21?\", \"Piper, Avery, Piper\"], [\"Did I talk to Piper, Avery, Piper on 2016/10/21?\", \"yes\"], [\"Did I talk to anyone on 2016/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10346\", \"logical_representation\": [\"2016/10/21\", \"Olivia\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I talked to Olivia for 52 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the morning on 2016/10/21?\", \"52 minutes\"], [\"who did I talk to on 2016/10/21?\", \"Olivia\"], [\"Did I talk to Olivia on 2016/10/21?\", \"yes\"], [\"Did I talk to anyone on 2016/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10347\", \"logical_representation\": [\"2016/10/21\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/10/21?\", \"25 minutes\"], [\"what did I read on 2016/10/21?\", \"news\"], [\"Did I read on 2016/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/22\": {\"breakfast\": {\"eid\": \"e10348\", \"logical_representation\": [\"2016/10/22\", \"breakfast\", \"peanut-butter-jam\", \"Nevaeh, Nora, Piper, Layla, Rylee, Hazel, Eva, Olivia, Piper, Kinsley, Avery, Claire\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/10/22\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10349\", \"logical_representation\": [\"2016/10/22\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/22?\", \"44 minutes\"], [\"what did I watch on tv on 2016/10/22?\", \"news\"], [\"Did I watch tv on 2016/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/23\": {\"exercise\": {\"eid\": \"e10350\", \"logical_representation\": [\"2016/10/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/10/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10351\", \"logical_representation\": [\"2016/10/23\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/10/23?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2016/10/23\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10352\", \"logical_representation\": [\"2016/10/23\", \"lunch\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/10/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10353\", \"logical_representation\": [\"2016/10/23\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10354\", \"logical_representation\": [\"2016/10/23\", \"Layla, Nora, Nevaeh\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Layla, Nora, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Nevaeh in the early evening on 2016/10/23?\", \"15 minutes\"], [\"who did I talk to on 2016/10/23?\", \"Layla, Nora, Nevaeh\"], [\"Did I talk to Layla, Nora, Nevaeh on 2016/10/23?\", \"yes\"], [\"Did I talk to anyone on 2016/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10355\", \"logical_representation\": [\"2016/10/23\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/10/23?\", \"8 minutes\"], [\"what did I read on 2016/10/23?\", \"social media\"], [\"Did I read on 2016/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10356\", \"logical_representation\": [\"2016/10/23\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I watched a tv series for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/23?\", \"24 minutes\"], [\"what did I watch on tv on 2016/10/23?\", \"a tv series\"], [\"Did I watch tv on 2016/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/24\": {\"exercise\": {\"eid\": \"e10357\", \"logical_representation\": [\"2016/10/24\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/10/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/24?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10358\", \"logical_representation\": [\"2016/10/24\", \"lunch\", \"a burger\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/10/24\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10359\", \"logical_representation\": [\"2016/10/24\", \"dinner\", \"steak\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Emily, Andrew, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/10/24?\", \"Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2016/10/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10360\", \"logical_representation\": [\"2016/10/24\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/10/24?\", \"5 minutes\"], [\"what did I read on 2016/10/24?\", \"news\"], [\"Did I read on 2016/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/27\": {\"breakfast\": {\"eid\": \"e10370\", \"logical_representation\": [\"2016/10/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/10/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10371\", \"logical_representation\": [\"2016/10/27\", \"lunch\", \"sandwich\", \"Eva, Rylee, Olivia, Kinsley, Piper, Avery, Layla, Piper, Nora, Nevaeh, Claire, Hazel, Lydia\"], \"text_template_based\": \"I had lunch with Eva, Rylee, Olivia, Kinsley, Piper, Avery, Layla, Piper, Nora, Nevaeh, Claire, Hazel, Lydia. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/10/27?\", \"Eva, Rylee, Olivia, Kinsley, Piper, Avery, Layla, Piper, Nora, Nevaeh, Claire, Hazel, Lydia\"], [\"what did I eat for lunch on 2016/10/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10372\", \"logical_representation\": [\"2016/10/27\", \"dinner\", \"tacos\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had tacos for dinner with Kayden, Carter, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/10/27?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2016/10/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10373\", \"logical_representation\": [\"2016/10/27\", \"Nora\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I talked to Nora for 51 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2016/10/27?\", \"51 minutes\"], [\"who did I talk to on 2016/10/27?\", \"Nora\"], [\"Did I talk to Nora on 2016/10/27?\", \"yes\"], [\"Did I talk to anyone on 2016/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10374\", \"logical_representation\": [\"2016/10/27\", \"Olivia, Nevaeh\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Olivia, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh in the late afternoon on 2016/10/27?\", \"23 minutes\"], [\"who did I talk to on 2016/10/27?\", \"Olivia, Nevaeh\"], [\"Did I talk to Olivia, Nevaeh on 2016/10/27?\", \"yes\"], [\"Did I talk to anyone on 2016/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10375\", \"logical_representation\": [\"2016/10/27\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/10/27?\", \"47 minutes\"], [\"what did I read on 2016/10/27?\", \"a book\"], [\"Did I read on 2016/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/29\": {\"breakfast\": {\"eid\": \"e10382\", \"logical_representation\": [\"2016/10/29\", \"breakfast\", \"pancakes\", \"Nora, Rylee, Hazel, Layla, Nevaeh, Olivia, Avery, Eva\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/10/29\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10383\", \"logical_representation\": [\"2016/10/29\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/10/29?\", \"Emily\"], [\"what did I eat for lunch on 2016/10/29\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10384\", \"logical_representation\": [\"2016/10/29\", \"dinner\", \"tacos\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10385\", \"logical_representation\": [\"2016/10/29\", \"Eva, Kinsley, Lydia, Nora\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley, Lydia, Nora for 45 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Lydia, Nora in the late afternoon on 2016/10/29?\", \"45 minutes\"], [\"who did I talk to on 2016/10/29?\", \"Eva, Kinsley, Lydia, Nora\"], [\"Did I talk to Eva, Kinsley, Lydia, Nora on 2016/10/29?\", \"yes\"], [\"Did I talk to anyone on 2016/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10386\", \"logical_representation\": [\"2016/10/29\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/10/29?\", \"52 minutes\"], [\"what did I read on 2016/10/29?\", \"a book\"], [\"Did I read on 2016/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10387\", \"logical_representation\": [\"2016/10/29\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/29?\", \"53 minutes\"], [\"what did I watch on tv on 2016/10/29?\", \"a documentary\"], [\"Did I watch tv on 2016/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/30\": {\"exercise\": {\"eid\": \"e10388\", \"logical_representation\": [\"2016/10/30\", \"running\"], \"text_template_based\": \"I did running on 2016/10/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10389\", \"logical_representation\": [\"2016/10/30\", \"Layla, Kinsley\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Layla, Kinsley for 12 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley in the late afternoon on 2016/10/30?\", \"12 minutes\"], [\"who did I talk to on 2016/10/30?\", \"Layla, Kinsley\"], [\"Did I talk to Layla, Kinsley on 2016/10/30?\", \"yes\"], [\"Did I talk to anyone on 2016/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10390\", \"logical_representation\": [\"2016/10/30\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/10/30?\", \"38 minutes\"], [\"what did I read on 2016/10/30?\", \"news\"], [\"Did I read on 2016/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/01\": {\"exercise\": {\"eid\": \"e10393\", \"logical_representation\": [\"2016/11/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/11/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10394\", \"logical_representation\": [\"2016/11/01\", \"breakfast\", \"peanut-butter-jam\", \"Claire, Piper, Olivia, Nevaeh, Piper, Eva, Lydia, Hazel, Avery, Rylee, Layla\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10395\", \"logical_representation\": [\"2016/11/01\", \"lunch\", \"tacos\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10396\", \"logical_representation\": [\"2016/11/01\", \"Piper, Avery\", \"in the morning\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Piper, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery in the morning on 2016/11/01?\", \"12 minutes\"], [\"who did I talk to on 2016/11/01?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2016/11/01?\", \"yes\"], [\"Did I talk to anyone on 2016/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10397\", \"logical_representation\": [\"2016/11/01\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/11/01?\", \"23 minutes\"], [\"what did I read on 2016/11/01?\", \"news\"], [\"Did I read on 2016/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/02\": {\"exercise\": {\"eid\": \"e10398\", \"logical_representation\": [\"2016/11/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/11/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10399\", \"logical_representation\": [\"2016/11/02\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10400\", \"logical_representation\": [\"2016/11/02\", \"lunch\", \"fish and chips\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Kayden, Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/11/02?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2016/11/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10401\", \"logical_representation\": [\"2016/11/02\", \"dinner\", \"a burger\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Carter, Kayden. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/11/02?\", \"Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2016/11/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10402\", \"logical_representation\": [\"2016/11/02\", \"Avery, Eva, Claire, Lydia\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Avery, Eva, Claire, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Claire, Lydia in the early afternoon on 2016/11/02?\", \"8 minutes\"], [\"who did I talk to on 2016/11/02?\", \"Avery, Eva, Claire, Lydia\"], [\"Did I talk to Avery, Eva, Claire, Lydia on 2016/11/02?\", \"yes\"], [\"Did I talk to anyone on 2016/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10403\", \"logical_representation\": [\"2016/11/02\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/11/02?\", \"55 minutes\"], [\"what did I read on 2016/11/02?\", \"a book\"], [\"Did I read on 2016/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/03\": {\"lunch\": {\"eid\": \"e10404\", \"logical_representation\": [\"2016/11/03\", \"lunch\", \"steak\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10405\", \"logical_representation\": [\"2016/11/03\", \"dinner\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/11/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10406\", \"logical_representation\": [\"2016/11/03\", \"Avery, Piper, Nevaeh, Eva\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Avery, Piper, Nevaeh, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Nevaeh, Eva in the morning on 2016/11/03?\", \"15 minutes\"], [\"who did I talk to on 2016/11/03?\", \"Avery, Piper, Nevaeh, Eva\"], [\"Did I talk to Avery, Piper, Nevaeh, Eva on 2016/11/03?\", \"yes\"], [\"Did I talk to anyone on 2016/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10407\", \"logical_representation\": [\"2016/11/03\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/11/03?\", \"10 minutes\"], [\"what did I read on 2016/11/03?\", \"news\"], [\"Did I read on 2016/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10408\", \"logical_representation\": [\"2016/11/03\", \"news\", \"34 minutes\"], \"text_template_based\": \"I watched news for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/03?\", \"34 minutes\"], [\"what did I watch on tv on 2016/11/03?\", \"news\"], [\"Did I watch tv on 2016/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/04\": {\"lunch\": {\"eid\": \"e10409\", \"logical_representation\": [\"2016/11/04\", \"lunch\", \"chinese food\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10410\", \"logical_representation\": [\"2016/11/04\", \"dinner\", \"sandwich\", \"Rylee, Piper, Olivia, Layla, Hazel, Kinsley, Eva, Lydia\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/11/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10411\", \"logical_representation\": [\"2016/11/04\", \"Lydia, Piper, Nora, Eva\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Nora, Eva for 14 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Nora, Eva during lunch hours on 2016/11/04?\", \"14 minutes\"], [\"who did I talk to on 2016/11/04?\", \"Lydia, Piper, Nora, Eva\"], [\"Did I talk to Lydia, Piper, Nora, Eva on 2016/11/04?\", \"yes\"], [\"Did I talk to anyone on 2016/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10412\", \"logical_representation\": [\"2016/11/04\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/11/04?\", \"15 minutes\"], [\"what did I read on 2016/11/04?\", \"a book\"], [\"Did I read on 2016/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10413\", \"logical_representation\": [\"2016/11/04\", \"news\", \"25 minutes\"], \"text_template_based\": \"I watched news for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/04?\", \"25 minutes\"], [\"what did I watch on tv on 2016/11/04?\", \"news\"], [\"Did I watch tv on 2016/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/05\": {\"breakfast\": {\"eid\": \"e10414\", \"logical_representation\": [\"2016/11/05\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Jackson\"], \"text_template_based\": \"I had breakfast with Willow, Jackson. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/11/05?\", \"Willow, Jackson\"], [\"what did I eat for breakfast on 2016/11/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10415\", \"logical_representation\": [\"2016/11/05\", \"dinner\", \"steak\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Carter, Kayden, Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/11/05?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for dinner on 2016/11/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10416\", \"logical_representation\": [\"2016/11/05\", \"Lydia\", \"during lunch hours\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia during lunch hours on 2016/11/05?\", \"30 minutes\"], [\"who did I talk to on 2016/11/05?\", \"Lydia\"], [\"Did I talk to Lydia on 2016/11/05?\", \"yes\"], [\"Did I talk to anyone on 2016/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10417\", \"logical_representation\": [\"2016/11/05\", \"Nora, Olivia, Rylee, Avery\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia, Rylee, Avery for 26 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Rylee, Avery late in the evening on 2016/11/05?\", \"26 minutes\"], [\"who did I talk to on 2016/11/05?\", \"Nora, Olivia, Rylee, Avery\"], [\"Did I talk to Nora, Olivia, Rylee, Avery on 2016/11/05?\", \"yes\"], [\"Did I talk to anyone on 2016/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/08\": {\"breakfast\": {\"eid\": \"e10424\", \"logical_representation\": [\"2016/11/08\", \"breakfast\", \"oatmeal\", \"Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/08\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10425\", \"logical_representation\": [\"2016/11/08\", \"lunch\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10426\", \"logical_representation\": [\"2016/11/08\", \"Claire\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Claire for 15 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2016/11/08?\", \"15 minutes\"], [\"who did I talk to on 2016/11/08?\", \"Claire\"], [\"Did I talk to Claire on 2016/11/08?\", \"yes\"], [\"Did I talk to anyone on 2016/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/09\": {\"exercise\": {\"eid\": \"e10427\", \"logical_representation\": [\"2016/11/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/11/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10428\", \"logical_representation\": [\"2016/11/09\", \"breakfast\", \"cereals\", \"Kinsley, Nora, Piper, Avery\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10429\", \"logical_representation\": [\"2016/11/09\", \"Nora\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Nora for 53 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2016/11/09?\", \"53 minutes\"], [\"who did I talk to on 2016/11/09?\", \"Nora\"], [\"Did I talk to Nora on 2016/11/09?\", \"yes\"], [\"Did I talk to anyone on 2016/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10430\", \"logical_representation\": [\"2016/11/09\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/11/09?\", \"22 minutes\"], [\"what did I read on 2016/11/09?\", \"social media\"], [\"Did I read on 2016/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10431\", \"logical_representation\": [\"2016/11/09\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/09?\", \"52 minutes\"], [\"what did I watch on tv on 2016/11/09?\", \"a documentary\"], [\"Did I watch tv on 2016/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/11\": {\"breakfast\": {\"eid\": \"e10437\", \"logical_representation\": [\"2016/11/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10438\", \"logical_representation\": [\"2016/11/11\", \"lunch\", \"indian food\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10439\", \"logical_representation\": [\"2016/11/11\", \"dinner\", \"indian food\", \"Hazel, Nora, Piper, Piper, Nevaeh, Eva, Claire, Olivia, Lydia, Layla\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/11/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10440\", \"logical_representation\": [\"2016/11/11\", \"Claire, Rylee, Nora, Hazel\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Claire, Rylee, Nora, Hazel for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Nora, Hazel during lunch hours on 2016/11/11?\", \"26 minutes\"], [\"who did I talk to on 2016/11/11?\", \"Claire, Rylee, Nora, Hazel\"], [\"Did I talk to Claire, Rylee, Nora, Hazel on 2016/11/11?\", \"yes\"], [\"Did I talk to anyone on 2016/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10441\", \"logical_representation\": [\"2016/11/11\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/11/11?\", \"6 minutes\"], [\"what did I read on 2016/11/11?\", \"news\"], [\"Did I read on 2016/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10442\", \"logical_representation\": [\"2016/11/11\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/11?\", \"38 minutes\"], [\"what did I watch on tv on 2016/11/11?\", \"news\"], [\"Did I watch tv on 2016/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/12\": {\"exercise\": {\"eid\": \"e10443\", \"logical_representation\": [\"2016/11/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/11/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10444\", \"logical_representation\": [\"2016/11/12\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/11/12?\", \"9 minutes\"], [\"what did I read on 2016/11/12?\", \"social media\"], [\"Did I read on 2016/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10445\", \"logical_representation\": [\"2016/11/12\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I watched a movie for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/12?\", \"18 minutes\"], [\"what did I watch on tv on 2016/11/12?\", \"a movie\"], [\"Did I watch tv on 2016/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/13\": {\"exercise\": {\"eid\": \"e10446\", \"logical_representation\": [\"2016/11/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/11/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10447\", \"logical_representation\": [\"2016/11/13\", \"lunch\", \"sushi\", \"Avery\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10448\", \"logical_representation\": [\"2016/11/13\", \"dinner\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/11/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10449\", \"logical_representation\": [\"2016/11/13\", \"Claire\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Claire for 13 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2016/11/13?\", \"13 minutes\"], [\"who did I talk to on 2016/11/13?\", \"Claire\"], [\"Did I talk to Claire on 2016/11/13?\", \"yes\"], [\"Did I talk to anyone on 2016/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10450\", \"logical_representation\": [\"2016/11/13\", \"Nora, Eva, Kinsley, Nevaeh\", \"late in the evening\", \"44 minutes\"], \"text_template_based\": \"I talked to Nora, Eva, Kinsley, Nevaeh for 44 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Kinsley, Nevaeh late in the evening on 2016/11/13?\", \"44 minutes\"], [\"who did I talk to on 2016/11/13?\", \"Nora, Eva, Kinsley, Nevaeh\"], [\"Did I talk to Nora, Eva, Kinsley, Nevaeh on 2016/11/13?\", \"yes\"], [\"Did I talk to anyone on 2016/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/14\": {\"exercise\": {\"eid\": \"e10451\", \"logical_representation\": [\"2016/11/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/11/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10452\", \"logical_representation\": [\"2016/11/14\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/14\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2016/11/15\": {\"exercise\": {\"eid\": \"e10453\", \"logical_representation\": [\"2016/11/15\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/11/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/15?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10454\", \"logical_representation\": [\"2016/11/15\", \"lunch\", \"sandwich\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had sandwich for lunch with Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/11/15?\", \"Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2016/11/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10455\", \"logical_representation\": [\"2016/11/15\", \"Claire, Avery, Eva, Layla\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Claire, Avery, Eva, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Eva, Layla in the late afternoon on 2016/11/15?\", \"6 minutes\"], [\"who did I talk to on 2016/11/15?\", \"Claire, Avery, Eva, Layla\"], [\"Did I talk to Claire, Avery, Eva, Layla on 2016/11/15?\", \"yes\"], [\"Did I talk to anyone on 2016/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10456\", \"logical_representation\": [\"2016/11/15\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/11/15?\", \"23 minutes\"], [\"what did I read on 2016/11/15?\", \"social media\"], [\"Did I read on 2016/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10457\", \"logical_representation\": [\"2016/11/15\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/15?\", \"5 minutes\"], [\"what did I watch on tv on 2016/11/15?\", \"a movie\"], [\"Did I watch tv on 2016/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/16\": {\"exercise\": {\"eid\": \"e10458\", \"logical_representation\": [\"2016/11/16\", \"biking\"], \"text_template_based\": \"I did biking on 2016/11/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10459\", \"logical_representation\": [\"2016/11/16\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10460\", \"logical_representation\": [\"2016/11/16\", \"lunch\", \"a burger\", \"Andrew, Emily\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10461\", \"logical_representation\": [\"2016/11/16\", \"dinner\", \"pasta\", \"Kinsley, Rylee, Nora\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/11/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10462\", \"logical_representation\": [\"2016/11/16\", \"Nevaeh, Piper, Lydia, Avery\", \"in the morning\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Nevaeh, Piper, Lydia, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Lydia, Avery in the morning on 2016/11/16?\", \"42 minutes\"], [\"who did I talk to on 2016/11/16?\", \"Nevaeh, Piper, Lydia, Avery\"], [\"Did I talk to Nevaeh, Piper, Lydia, Avery on 2016/11/16?\", \"yes\"], [\"Did I talk to anyone on 2016/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10463\", \"logical_representation\": [\"2016/11/16\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/11/16?\", \"13 minutes\"], [\"what did I read on 2016/11/16?\", \"news\"], [\"Did I read on 2016/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10464\", \"logical_representation\": [\"2016/11/16\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I watched a movie for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/16?\", \"5 minutes\"], [\"what did I watch on tv on 2016/11/16?\", \"a movie\"], [\"Did I watch tv on 2016/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/17\": {\"exercise\": {\"eid\": \"e10465\", \"logical_representation\": [\"2016/11/17\", \"running\"], \"text_template_based\": \"I did running on 2016/11/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10466\", \"logical_representation\": [\"2016/11/17\", \"lunch\", \"steak\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had steak for lunch with Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/11/17?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2016/11/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10467\", \"logical_representation\": [\"2016/11/17\", \"dinner\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/11/17?\", \"Kayden\"], [\"what did I eat for dinner on 2016/11/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10468\", \"logical_representation\": [\"2016/11/17\", \"Kinsley, Lydia, Piper, Avery\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia, Piper, Avery for 25 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Piper, Avery late in the evening on 2016/11/17?\", \"25 minutes\"], [\"who did I talk to on 2016/11/17?\", \"Kinsley, Lydia, Piper, Avery\"], [\"Did I talk to Kinsley, Lydia, Piper, Avery on 2016/11/17?\", \"yes\"], [\"Did I talk to anyone on 2016/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/18\": {\"exercise\": {\"eid\": \"e10469\", \"logical_representation\": [\"2016/11/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/11/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10470\", \"logical_representation\": [\"2016/11/18\", \"breakfast\", \"cereals\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/11/18?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for breakfast on 2016/11/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10471\", \"logical_representation\": [\"2016/11/18\", \"lunch\", \"chinese food\", \"Avery, Rylee, Piper, Piper, Nevaeh, Nora, Claire, Hazel\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10472\", \"logical_representation\": [\"2016/11/18\", \"Eva, Nevaeh, Piper\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Eva, Nevaeh, Piper for 49 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Piper late in the evening on 2016/11/18?\", \"49 minutes\"], [\"who did I talk to on 2016/11/18?\", \"Eva, Nevaeh, Piper\"], [\"Did I talk to Eva, Nevaeh, Piper on 2016/11/18?\", \"yes\"], [\"Did I talk to anyone on 2016/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10473\", \"logical_representation\": [\"2016/11/18\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I watched a documentary for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/18?\", \"13 minutes\"], [\"what did I watch on tv on 2016/11/18?\", \"a documentary\"], [\"Did I watch tv on 2016/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/20\": {\"breakfast\": {\"eid\": \"e10477\", \"logical_representation\": [\"2016/11/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10478\", \"logical_representation\": [\"2016/11/20\", \"lunch\", \"tacos\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10479\", \"logical_representation\": [\"2016/11/20\", \"Kinsley, Layla\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Kinsley, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla late in the evening on 2016/11/20?\", \"47 minutes\"], [\"who did I talk to on 2016/11/20?\", \"Kinsley, Layla\"], [\"Did I talk to Kinsley, Layla on 2016/11/20?\", \"yes\"], [\"Did I talk to anyone on 2016/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10480\", \"logical_representation\": [\"2016/11/20\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I watched a documentary for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/20?\", \"47 minutes\"], [\"what did I watch on tv on 2016/11/20?\", \"a documentary\"], [\"Did I watch tv on 2016/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/22\": {\"exercise\": {\"eid\": \"e10484\", \"logical_representation\": [\"2016/11/22\", \"running\"], \"text_template_based\": \"I did running on 2016/11/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10485\", \"logical_representation\": [\"2016/11/22\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/22\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10486\", \"logical_representation\": [\"2016/11/22\", \"lunch\", \"steak\", \"Hazel, Kinsley, Eva, Avery\"], \"text_template_based\": \"I had lunch with Hazel, Kinsley, Eva, Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/11/22?\", \"Hazel, Kinsley, Eva, Avery\"], [\"what did I eat for lunch on 2016/11/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10487\", \"logical_representation\": [\"2016/11/22\", \"Olivia, Rylee, Lydia\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Olivia, Rylee, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee, Lydia in the late afternoon on 2016/11/22?\", \"9 minutes\"], [\"who did I talk to on 2016/11/22?\", \"Olivia, Rylee, Lydia\"], [\"Did I talk to Olivia, Rylee, Lydia on 2016/11/22?\", \"yes\"], [\"Did I talk to anyone on 2016/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10488\", \"logical_representation\": [\"2016/11/22\", \"Claire\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2016/11/22?\", \"49 minutes\"], [\"who did I talk to on 2016/11/22?\", \"Claire\"], [\"Did I talk to Claire on 2016/11/22?\", \"yes\"], [\"Did I talk to anyone on 2016/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10489\", \"logical_representation\": [\"2016/11/22\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/11/22?\", \"28 minutes\"], [\"what did I read on 2016/11/22?\", \"a book\"], [\"Did I read on 2016/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/23\": {\"exercise\": {\"eid\": \"e10490\", \"logical_representation\": [\"2016/11/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/11/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10491\", \"logical_representation\": [\"2016/11/23\", \"lunch\", \"chinese food\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10492\", \"logical_representation\": [\"2016/11/23\", \"dinner\", \"sushi\", \"Lydia, Kinsley, Olivia, Claire\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/11/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10493\", \"logical_representation\": [\"2016/11/23\", \"Eva, Layla, Rylee, Piper\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Eva, Layla, Rylee, Piper for 5 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Rylee, Piper in the late afternoon on 2016/11/23?\", \"5 minutes\"], [\"who did I talk to on 2016/11/23?\", \"Eva, Layla, Rylee, Piper\"], [\"Did I talk to Eva, Layla, Rylee, Piper on 2016/11/23?\", \"yes\"], [\"Did I talk to anyone on 2016/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10494\", \"logical_representation\": [\"2016/11/23\", \"Eva, Piper, Lydia\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Eva, Piper, Lydia for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Lydia during lunch hours on 2016/11/23?\", \"31 minutes\"], [\"who did I talk to on 2016/11/23?\", \"Eva, Piper, Lydia\"], [\"Did I talk to Eva, Piper, Lydia on 2016/11/23?\", \"yes\"], [\"Did I talk to anyone on 2016/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10495\", \"logical_representation\": [\"2016/11/23\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/11/23?\", \"14 minutes\"], [\"what did I read on 2016/11/23?\", \"a book\"], [\"Did I read on 2016/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/24\": {\"exercise\": {\"eid\": \"e10496\", \"logical_representation\": [\"2016/11/24\", \"biking\"], \"text_template_based\": \"I did biking on 2016/11/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10497\", \"logical_representation\": [\"2016/11/24\", \"breakfast\", \"pancakes\", \"Piper, Nora, Eva, Kinsley, Claire, Layla, Avery, Lydia, Olivia, Hazel, Piper, Rylee, Nevaeh\"], \"text_template_based\": \"I had pancakes for breakfast with Piper, Nora, Eva, Kinsley, Claire, Layla, Avery, Lydia, Olivia, Hazel, Piper, Rylee, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/11/24?\", \"Piper, Nora, Eva, Kinsley, Claire, Layla, Avery, Lydia, Olivia, Hazel, Piper, Rylee, Nevaeh\"], [\"what did I eat for breakfast on 2016/11/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10498\", \"logical_representation\": [\"2016/11/24\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/11/24?\", \"48 minutes\"], [\"what did I read on 2016/11/24?\", \"a book\"], [\"Did I read on 2016/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10499\", \"logical_representation\": [\"2016/11/24\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/24?\", \"55 minutes\"], [\"what did I watch on tv on 2016/11/24?\", \"a tv series\"], [\"Did I watch tv on 2016/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/25\": {\"exercise\": {\"eid\": \"e10500\", \"logical_representation\": [\"2016/11/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/11/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10501\", \"logical_representation\": [\"2016/11/25\", \"lunch\", \"chinese food\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had chinese food for lunch with Emily, Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/11/25?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for lunch on 2016/11/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10502\", \"logical_representation\": [\"2016/11/25\", \"dinner\", \"a burger\", \"Nevaeh, Piper, Avery, Rylee, Olivia, Hazel\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/11/25\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2016/11/26\": {\"lunch\": {\"eid\": \"e10503\", \"logical_representation\": [\"2016/11/26\", \"lunch\", \"sushi\", \"Jackson, Willow\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10504\", \"logical_representation\": [\"2016/11/26\", \"Hazel\", \"late in the evening\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2016/11/26?\", \"8 minutes\"], [\"who did I talk to on 2016/11/26?\", \"Hazel\"], [\"Did I talk to Hazel on 2016/11/26?\", \"yes\"], [\"Did I talk to anyone on 2016/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10505\", \"logical_representation\": [\"2016/11/26\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/11/26?\", \"53 minutes\"], [\"what did I read on 2016/11/26?\", \"social media\"], [\"Did I read on 2016/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10506\", \"logical_representation\": [\"2016/11/26\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I watched a movie for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/26?\", \"25 minutes\"], [\"what did I watch on tv on 2016/11/26?\", \"a movie\"], [\"Did I watch tv on 2016/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/27\": {\"dinner\": {\"eid\": \"e10507\", \"logical_representation\": [\"2016/11/27\", \"dinner\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I had fish and chips for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/11/27?\", \"Carter\"], [\"what did I eat for dinner on 2016/11/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10508\", \"logical_representation\": [\"2016/11/27\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/11/27?\", \"26 minutes\"], [\"what did I read on 2016/11/27?\", \"news\"], [\"Did I read on 2016/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10509\", \"logical_representation\": [\"2016/11/27\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/27?\", \"38 minutes\"], [\"what did I watch on tv on 2016/11/27?\", \"news\"], [\"Did I watch tv on 2016/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/30\": {\"chat0\": {\"eid\": \"e10520\", \"logical_representation\": [\"2016/11/30\", \"Olivia, Piper, Layla, Rylee\", \"in the morning\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Olivia, Piper, Layla, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Layla, Rylee in the morning on 2016/11/30?\", \"12 minutes\"], [\"who did I talk to on 2016/11/30?\", \"Olivia, Piper, Layla, Rylee\"], [\"Did I talk to Olivia, Piper, Layla, Rylee on 2016/11/30?\", \"yes\"], [\"Did I talk to anyone on 2016/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10521\", \"logical_representation\": [\"2016/11/30\", \"Rylee\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Rylee for 31 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2016/11/30?\", \"31 minutes\"], [\"who did I talk to on 2016/11/30?\", \"Rylee\"], [\"Did I talk to Rylee on 2016/11/30?\", \"yes\"], [\"Did I talk to anyone on 2016/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10522\", \"logical_representation\": [\"2016/11/30\", \"a tv series\", \"45 minutes\"], \"text_template_based\": \"I watched a tv series for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/30?\", \"45 minutes\"], [\"what did I watch on tv on 2016/11/30?\", \"a tv series\"], [\"Did I watch tv on 2016/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/01\": {\"exercise\": {\"eid\": \"e10523\", \"logical_representation\": [\"2016/12/01\", \"running\"], \"text_template_based\": \"I did running on 2016/12/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10524\", \"logical_representation\": [\"2016/12/01\", \"lunch\", \"indian food\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/12/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10525\", \"logical_representation\": [\"2016/12/01\", \"dinner\", \"fish and chips\", \"Benjamin, Avery\"], \"text_template_based\": \"I had dinner with Benjamin, Avery. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/12/01?\", \"Benjamin, Avery\"], [\"what did I eat for dinner on 2016/12/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10526\", \"logical_representation\": [\"2016/12/01\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/12/01?\", \"45 minutes\"], [\"what did I read on 2016/12/01?\", \"social media\"], [\"Did I read on 2016/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/03\": {\"lunch\": {\"eid\": \"e10531\", \"logical_representation\": [\"2016/12/03\", \"lunch\", \"sandwich\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I had sandwich for lunch with Benjamin, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/12/03?\", \"Benjamin, Willow, Avery\"], [\"what did I eat for lunch on 2016/12/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10532\", \"logical_representation\": [\"2016/12/03\", \"dinner\", \"indian food\", \"Avery, Benjamin\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10533\", \"logical_representation\": [\"2016/12/03\", \"Olivia\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I talked to Olivia for 55 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2016/12/03?\", \"55 minutes\"], [\"who did I talk to on 2016/12/03?\", \"Olivia\"], [\"Did I talk to Olivia on 2016/12/03?\", \"yes\"], [\"Did I talk to anyone on 2016/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10534\", \"logical_representation\": [\"2016/12/03\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/12/03?\", \"15 minutes\"], [\"what did I read on 2016/12/03?\", \"news\"], [\"Did I read on 2016/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10535\", \"logical_representation\": [\"2016/12/03\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/03?\", \"55 minutes\"], [\"what did I watch on tv on 2016/12/03?\", \"news\"], [\"Did I watch tv on 2016/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/04\": {\"breakfast\": {\"eid\": \"e10536\", \"logical_representation\": [\"2016/12/04\", \"breakfast\", \"cereals\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had cereals for breakfast with Benjamin, Jackson, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/12/04?\", \"Benjamin, Jackson, Willow, Avery\"], [\"what did I eat for breakfast on 2016/12/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10537\", \"logical_representation\": [\"2016/12/04\", \"lunch\", \"indian food\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had indian food for lunch with Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/12/04?\", \"Emily, Carter, Kayden\"], [\"what did I eat for lunch on 2016/12/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10538\", \"logical_representation\": [\"2016/12/04\", \"dinner\", \"indian food\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Jackson. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/12/04?\", \"Benjamin, Jackson\"], [\"what did I eat for dinner on 2016/12/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10539\", \"logical_representation\": [\"2016/12/04\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/12/04?\", \"7 minutes\"], [\"what did I read on 2016/12/04?\", \"a book\"], [\"Did I read on 2016/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10540\", \"logical_representation\": [\"2016/12/04\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/04?\", \"42 minutes\"], [\"what did I watch on tv on 2016/12/04?\", \"a tv series\"], [\"Did I watch tv on 2016/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/07\": {\"lunch\": {\"eid\": \"e10546\", \"logical_representation\": [\"2016/12/07\", \"lunch\", \"a burger\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Kayden, Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/12/07?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2016/12/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10547\", \"logical_representation\": [\"2016/12/07\", \"dinner\", \"a burger\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10548\", \"logical_representation\": [\"2016/12/07\", \"Piper\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I talked to Piper for 28 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2016/12/07?\", \"28 minutes\"], [\"who did I talk to on 2016/12/07?\", \"Piper\"], [\"Did I talk to Piper on 2016/12/07?\", \"yes\"], [\"Did I talk to anyone on 2016/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10549\", \"logical_representation\": [\"2016/12/07\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/12/07?\", \"34 minutes\"], [\"what did I read on 2016/12/07?\", \"social media\"], [\"Did I read on 2016/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/09\": {\"breakfast\": {\"eid\": \"e10554\", \"logical_representation\": [\"2016/12/09\", \"breakfast\", \"cereals\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10555\", \"logical_representation\": [\"2016/12/09\", \"lunch\", \"pasta\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I had pasta for lunch with Willow, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/12/09?\", \"Willow, Jackson, Avery\"], [\"what did I eat for lunch on 2016/12/09\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10556\", \"logical_representation\": [\"2016/12/09\", \"dinner\", \"fish and chips\", \"Benjamin, Willow\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10557\", \"logical_representation\": [\"2016/12/09\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/09?\", \"23 minutes\"], [\"what did I watch on tv on 2016/12/09?\", \"a movie\"], [\"Did I watch tv on 2016/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/10\": {\"lunch\": {\"eid\": \"e10558\", \"logical_representation\": [\"2016/12/10\", \"lunch\", \"indian food\", \"Olivia, Piper, Layla, Piper, Avery, Lydia, Kinsley, Eva\"], \"text_template_based\": \"I had indian food for lunch with Olivia, Piper, Layla, Piper, Avery, Lydia, Kinsley, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/12/10?\", \"Olivia, Piper, Layla, Piper, Avery, Lydia, Kinsley, Eva\"], [\"what did I eat for lunch on 2016/12/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10559\", \"logical_representation\": [\"2016/12/10\", \"dinner\", \"pasta\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10560\", \"logical_representation\": [\"2016/12/10\", \"Hazel, Lydia, Kinsley\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia, Kinsley for 6 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Kinsley in the early evening on 2016/12/10?\", \"6 minutes\"], [\"who did I talk to on 2016/12/10?\", \"Hazel, Lydia, Kinsley\"], [\"Did I talk to Hazel, Lydia, Kinsley on 2016/12/10?\", \"yes\"], [\"Did I talk to anyone on 2016/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10561\", \"logical_representation\": [\"2016/12/10\", \"Layla, Piper, Olivia, Nora\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Olivia, Nora for 29 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Olivia, Nora in the early afternoon on 2016/12/10?\", \"29 minutes\"], [\"who did I talk to on 2016/12/10?\", \"Layla, Piper, Olivia, Nora\"], [\"Did I talk to Layla, Piper, Olivia, Nora on 2016/12/10?\", \"yes\"], [\"Did I talk to anyone on 2016/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/12\": {\"exercise\": {\"eid\": \"e10567\", \"logical_representation\": [\"2016/12/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/12/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10568\", \"logical_representation\": [\"2016/12/12\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10569\", \"logical_representation\": [\"2016/12/12\", \"lunch\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/12/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10570\", \"logical_representation\": [\"2016/12/12\", \"Nevaeh, Layla, Kinsley\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Nevaeh, Layla, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Kinsley in the late afternoon on 2016/12/12?\", \"53 minutes\"], [\"who did I talk to on 2016/12/12?\", \"Nevaeh, Layla, Kinsley\"], [\"Did I talk to Nevaeh, Layla, Kinsley on 2016/12/12?\", \"yes\"], [\"Did I talk to anyone on 2016/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10571\", \"logical_representation\": [\"2016/12/12\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/12/12?\", \"15 minutes\"], [\"what did I read on 2016/12/12?\", \"news\"], [\"Did I read on 2016/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10572\", \"logical_representation\": [\"2016/12/12\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/12?\", \"10 minutes\"], [\"what did I watch on tv on 2016/12/12?\", \"a tv series\"], [\"Did I watch tv on 2016/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/13\": {\"exercise\": {\"eid\": \"e10573\", \"logical_representation\": [\"2016/12/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/12/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10574\", \"logical_representation\": [\"2016/12/13\", \"dinner\", \"chinese food\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10575\", \"logical_representation\": [\"2016/12/13\", \"Eva\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I talked to Eva for 38 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2016/12/13?\", \"38 minutes\"], [\"who did I talk to on 2016/12/13?\", \"Eva\"], [\"Did I talk to Eva on 2016/12/13?\", \"yes\"], [\"Did I talk to anyone on 2016/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10576\", \"logical_representation\": [\"2016/12/13\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I watched a documentary for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/13?\", \"37 minutes\"], [\"what did I watch on tv on 2016/12/13?\", \"a documentary\"], [\"Did I watch tv on 2016/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/14\": {\"breakfast\": {\"eid\": \"e10577\", \"logical_representation\": [\"2016/12/14\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Eva, Lydia\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kinsley, Eva, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/12/14?\", \"Kinsley, Eva, Lydia\"], [\"what did I eat for breakfast on 2016/12/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10578\", \"logical_representation\": [\"2016/12/14\", \"dinner\", \"fish and chips\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had fish and chips for dinner with Benjamin, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/12/14?\", \"Benjamin, Willow, Jackson\"], [\"what did I eat for dinner on 2016/12/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10579\", \"logical_representation\": [\"2016/12/14\", \"Claire, Rylee, Lydia\", \"in the morning\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Claire, Rylee, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Lydia in the morning on 2016/12/14?\", \"8 minutes\"], [\"who did I talk to on 2016/12/14?\", \"Claire, Rylee, Lydia\"], [\"Did I talk to Claire, Rylee, Lydia on 2016/12/14?\", \"yes\"], [\"Did I talk to anyone on 2016/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10580\", \"logical_representation\": [\"2016/12/14\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/12/14?\", \"25 minutes\"], [\"what did I read on 2016/12/14?\", \"news\"], [\"Did I read on 2016/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10581\", \"logical_representation\": [\"2016/12/14\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/14?\", \"33 minutes\"], [\"what did I watch on tv on 2016/12/14?\", \"a tv series\"], [\"Did I watch tv on 2016/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/18\": {\"exercise\": {\"eid\": \"e10593\", \"logical_representation\": [\"2016/12/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/12/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10594\", \"logical_representation\": [\"2016/12/18\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10595\", \"logical_representation\": [\"2016/12/18\", \"dinner\", \"steak\", \"Avery\"], \"text_template_based\": \"I had steak for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/12/18?\", \"Avery\"], [\"what did I eat for dinner on 2016/12/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10596\", \"logical_representation\": [\"2016/12/18\", \"Eva\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the morning on 2016/12/18?\", \"13 minutes\"], [\"who did I talk to on 2016/12/18?\", \"Eva\"], [\"Did I talk to Eva on 2016/12/18?\", \"yes\"], [\"Did I talk to anyone on 2016/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10597\", \"logical_representation\": [\"2016/12/18\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/18?\", \"7 minutes\"], [\"what did I watch on tv on 2016/12/18?\", \"a movie\"], [\"Did I watch tv on 2016/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/19\": {\"exercise\": {\"eid\": \"e10598\", \"logical_representation\": [\"2016/12/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/12/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10599\", \"logical_representation\": [\"2016/12/19\", \"breakfast\", \"pancakes\", \"Piper, Claire, Hazel, Avery, Kinsley, Nora, Eva, Olivia, Piper, Layla, Rylee\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10600\", \"logical_representation\": [\"2016/12/19\", \"dinner\", \"sushi\", \"Andrew, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/12/19?\", \"Andrew, Carter\"], [\"what did I eat for dinner on 2016/12/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10601\", \"logical_representation\": [\"2016/12/19\", \"a movie\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/19?\", \"16 minutes\"], [\"what did I watch on tv on 2016/12/19?\", \"a movie\"], [\"Did I watch tv on 2016/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/21\": {\"exercise\": {\"eid\": \"e10607\", \"logical_representation\": [\"2016/12/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/12/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10608\", \"logical_representation\": [\"2016/12/21\", \"lunch\", \"steak\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/12/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10609\", \"logical_representation\": [\"2016/12/21\", \"Layla, Nora, Kinsley\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Layla, Nora, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Kinsley during lunch hours on 2016/12/21?\", \"21 minutes\"], [\"who did I talk to on 2016/12/21?\", \"Layla, Nora, Kinsley\"], [\"Did I talk to Layla, Nora, Kinsley on 2016/12/21?\", \"yes\"], [\"Did I talk to anyone on 2016/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10610\", \"logical_representation\": [\"2016/12/21\", \"Avery, Hazel, Piper, Rylee\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I talked to Avery, Hazel, Piper, Rylee for 17 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Piper, Rylee in the morning on 2016/12/21?\", \"17 minutes\"], [\"who did I talk to on 2016/12/21?\", \"Avery, Hazel, Piper, Rylee\"], [\"Did I talk to Avery, Hazel, Piper, Rylee on 2016/12/21?\", \"yes\"], [\"Did I talk to anyone on 2016/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/23\": {\"breakfast\": {\"eid\": \"e10615\", \"logical_representation\": [\"2016/12/23\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/12/23?\", \"Carter\"], [\"what did I eat for breakfast on 2016/12/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10616\", \"logical_representation\": [\"2016/12/23\", \"dinner\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/12/23?\", \"Emily\"], [\"what did I eat for dinner on 2016/12/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10617\", \"logical_representation\": [\"2016/12/23\", \"Layla, Olivia, Piper\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Layla, Olivia, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia, Piper in the late afternoon on 2016/12/23?\", \"27 minutes\"], [\"who did I talk to on 2016/12/23?\", \"Layla, Olivia, Piper\"], [\"Did I talk to Layla, Olivia, Piper on 2016/12/23?\", \"yes\"], [\"Did I talk to anyone on 2016/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10618\", \"logical_representation\": [\"2016/12/23\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/23?\", \"9 minutes\"], [\"what did I watch on tv on 2016/12/23?\", \"a tv series\"], [\"Did I watch tv on 2016/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/24\": {\"breakfast\": {\"eid\": \"e10619\", \"logical_representation\": [\"2016/12/24\", \"breakfast\", \"oatmeal\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10620\", \"logical_representation\": [\"2016/12/24\", \"lunch\", \"sushi\", \"Piper, Piper, Nevaeh, Hazel, Claire, Lydia\"], \"text_template_based\": \"I had lunch with Piper, Piper, Nevaeh, Hazel, Claire, Lydia. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/12/24?\", \"Piper, Piper, Nevaeh, Hazel, Claire, Lydia\"], [\"what did I eat for lunch on 2016/12/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10621\", \"logical_representation\": [\"2016/12/24\", \"dinner\", \"steak\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10622\", \"logical_representation\": [\"2016/12/24\", \"Eva, Piper, Nora\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I talked to Eva, Piper, Nora for 30 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Nora in the late afternoon on 2016/12/24?\", \"30 minutes\"], [\"who did I talk to on 2016/12/24?\", \"Eva, Piper, Nora\"], [\"Did I talk to Eva, Piper, Nora on 2016/12/24?\", \"yes\"], [\"Did I talk to anyone on 2016/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/25\": {\"exercise\": {\"eid\": \"e10623\", \"logical_representation\": [\"2016/12/25\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/12/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/25?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10624\", \"logical_representation\": [\"2016/12/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10625\", \"logical_representation\": [\"2016/12/25\", \"lunch\", \"sushi\", \"Kinsley, Nevaeh, Eva, Claire\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/12/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10626\", \"logical_representation\": [\"2016/12/25\", \"dinner\", \"sushi\", \"Layla, Kinsley, Piper, Piper, Hazel, Rylee\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10627\", \"logical_representation\": [\"2016/12/25\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/12/25?\", \"45 minutes\"], [\"what did I read on 2016/12/25?\", \"a book\"], [\"Did I read on 2016/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/26\": {\"chat0\": {\"eid\": \"e10628\", \"logical_representation\": [\"2016/12/26\", \"Avery, Piper, Nora, Kinsley\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Avery, Piper, Nora, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Nora, Kinsley during lunch hours on 2016/12/26?\", \"7 minutes\"], [\"who did I talk to on 2016/12/26?\", \"Avery, Piper, Nora, Kinsley\"], [\"Did I talk to Avery, Piper, Nora, Kinsley on 2016/12/26?\", \"yes\"], [\"Did I talk to anyone on 2016/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10629\", \"logical_representation\": [\"2016/12/26\", \"Rylee, Lydia, Olivia\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Rylee, Lydia, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Olivia during lunch hours on 2016/12/26?\", \"46 minutes\"], [\"who did I talk to on 2016/12/26?\", \"Rylee, Lydia, Olivia\"], [\"Did I talk to Rylee, Lydia, Olivia on 2016/12/26?\", \"yes\"], [\"Did I talk to anyone on 2016/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10630\", \"logical_representation\": [\"2016/12/26\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/12/26?\", \"41 minutes\"], [\"what did I read on 2016/12/26?\", \"a book\"], [\"Did I read on 2016/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/27\": {\"breakfast\": {\"eid\": \"e10631\", \"logical_representation\": [\"2016/12/27\", \"breakfast\", \"cereals\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10632\", \"logical_representation\": [\"2016/12/27\", \"dinner\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10633\", \"logical_representation\": [\"2016/12/27\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/12/27?\", \"23 minutes\"], [\"what did I read on 2016/12/27?\", \"news\"], [\"Did I read on 2016/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/28\": {\"exercise\": {\"eid\": \"e10634\", \"logical_representation\": [\"2016/12/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/12/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10635\", \"logical_representation\": [\"2016/12/28\", \"breakfast\", \"pancakes\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10636\", \"logical_representation\": [\"2016/12/28\", \"dinner\", \"pasta\", \"Jackson\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/28\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10637\", \"logical_representation\": [\"2016/12/28\", \"news\", \"40 minutes\"], \"text_template_based\": \"I watched news for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/28?\", \"40 minutes\"], [\"what did I watch on tv on 2016/12/28?\", \"news\"], [\"Did I watch tv on 2016/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/29\": {\"exercise\": {\"eid\": \"e10638\", \"logical_representation\": [\"2016/12/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/12/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10639\", \"logical_representation\": [\"2016/12/29\", \"dinner\", \"a burger\", \"Kayden, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/12/29?\", \"Kayden, Carter\"], [\"what did I eat for dinner on 2016/12/29\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2016/12/30\": {\"exercise\": {\"eid\": \"e10640\", \"logical_representation\": [\"2016/12/30\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/12/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/30?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10641\", \"logical_representation\": [\"2016/12/30\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10642\", \"logical_representation\": [\"2016/12/30\", \"Kinsley, Hazel\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel for 51 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel in the late afternoon on 2016/12/30?\", \"51 minutes\"], [\"who did I talk to on 2016/12/30?\", \"Kinsley, Hazel\"], [\"Did I talk to Kinsley, Hazel on 2016/12/30?\", \"yes\"], [\"Did I talk to anyone on 2016/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10643\", \"logical_representation\": [\"2016/12/30\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/12/30?\", \"47 minutes\"], [\"what did I read on 2016/12/30?\", \"news\"], [\"Did I read on 2016/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/31\": {\"exercise\": {\"eid\": \"e10644\", \"logical_representation\": [\"2016/12/31\", \"running\"], \"text_template_based\": \"I did running on 2016/12/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/31?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10645\", \"logical_representation\": [\"2016/12/31\", \"Nora, Kinsley\", \"in the morning\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Nora, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley in the morning on 2016/12/31?\", \"18 minutes\"], [\"who did I talk to on 2016/12/31?\", \"Nora, Kinsley\"], [\"Did I talk to Nora, Kinsley on 2016/12/31?\", \"yes\"], [\"Did I talk to anyone on 2016/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10646\", \"logical_representation\": [\"2016/12/31\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/12/31?\", \"17 minutes\"], [\"what did I read on 2016/12/31?\", \"a book\"], [\"Did I read on 2016/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/12\": {\"travel\": {\"eid\": \"e10647\", \"logical_representation\": [\"2017/05/12\", \"2017/05/18\", [\"Andrew\"], \"Bangkok, Thailand\"], \"text_template_based\": \"On 2017/05/12 Andrew and I went to Bangkok, Thailand together for 6 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Bangkok, Thailand on 2017/05/12?\", \"Andrew\"], [\"who did I go with to Bangkok, Thailand?\", \"Andrew\"], [\"where did I go on 2017/05/12?\", \"Bangkok, Thailand\"], [\"when did I go to Bangkok, Thailand?\", \"2017/05/12\"], [\"when did I go to Bangkok, Thailand with Andrew ?\", \"2017/05/12\"], [\"How long did I stay in Bangkok, Thailand?\", \"6\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e10710\", \"logical_representation\": [\"2017/05/12\", \"Autumn\", \"a boba shop\"], \"text_template_based\": \"On 2017/05/12, I took Autumn on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/05/12\", \"Autumn\"], [\"where did I go for the date on 2017/05/12\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11269\", \"logical_representation\": [\"2017/05/12\", \"lunch\", \"fish and chips\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11270\", \"logical_representation\": [\"2017/05/12\", \"dinner\", \"steak\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/05/12?\", \"Carter\"], [\"what did I eat for dinner on 2017/05/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11271\", \"logical_representation\": [\"2017/05/12\", \"Olivia, Nora, Rylee\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Olivia, Nora, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Rylee in the early afternoon on 2017/05/12?\", \"46 minutes\"], [\"who did I talk to on 2017/05/12?\", \"Olivia, Nora, Rylee\"], [\"Did I talk to Olivia, Nora, Rylee on 2017/05/12?\", \"yes\"], [\"Did I talk to anyone on 2017/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11272\", \"logical_representation\": [\"2017/05/12\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/05/12?\", \"28 minutes\"], [\"what did I read on 2017/05/12?\", \"news\"], [\"Did I read on 2017/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11273\", \"logical_representation\": [\"2017/05/12\", \"news\", \"52 minutes\"], \"text_template_based\": \"I watched news for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/12?\", \"52 minutes\"], [\"what did I watch on tv on 2017/05/12?\", \"news\"], [\"Did I watch tv on 2017/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/13\": {\"places_visited\": {\"eid\": \"e10648\", \"logical_representation\": [\"2017/05/13\", [\"Andrew\"], \"National Museum & Wang Na Palace\", \"took a group photo\", \"impressed\"], \"text_template_based\": \"During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2017/05 with Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Bangkok, Thailand on 2017/05\", \"National Museum & Wang Na Palace\"], [\"when did I visit National Museum & Wang Na Palace during my trip to Bangkok, Thailand\", \"2017/05/13\"], [\"when did I visit National Museum & Wang Na Palace \", \"2017/05/13\"], [\"who went with me to visit National Museum & Wang Na Palace ?\", \"Andrew\"], [\"who went with me to visit National Museum & Wang Na Palace during my trip to Bangkok, Thailand on 2017/05?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e10653\", \"logical_representation\": [\"2017/05/13\", [\"Andrew\"], \"Indian food\", \"Yaowarat\"], \"text_template_based\": \"I ate Indian food at Yaowarat with Andrew on  2017/05/13 when I was in Bangkok, Thailand.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Yaowarat ?\", \"Andrew\"], [\"who did I eat Indian food with?\", \"Andrew\"], [\"where did we eat Indian food during our trip to Bangkok, Thailand on  2017/05/13?\", \"Yaowarat\"], [\"when did we eat Indian food at Yaowarat during our trip to Bangkok, Thailand?\", \"2017/05/13\"], [\"when did we eat at Yaowarat?\", \"2017/05/13\"], [\"when did we eat Indian food?\", \"2017/05/13\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11274\", \"logical_representation\": [\"2017/05/13\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/05/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11275\", \"logical_representation\": [\"2017/05/13\", \"dinner\", \"indian food\", \"Kayden, Carter\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/05/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11276\", \"logical_representation\": [\"2017/05/13\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/13?\", \"25 minutes\"], [\"what did I watch on tv on 2017/05/13?\", \"a documentary\"], [\"Did I watch tv on 2017/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/14\": {\"places_visited\": {\"eid\": \"e10649\", \"logical_representation\": [\"2017/05/14\", [\"Andrew\"], \"Wat Suthat\", \"took a selfie\", \"happy\"], \"text_template_based\": \"During my trip to Bangkok, Thailand, I visited Wat Suthat on 2017/05 with Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Bangkok, Thailand on 2017/05\", \"Wat Suthat\"], [\"when did I visit Wat Suthat during my trip to Bangkok, Thailand\", \"2017/05/14\"], [\"when did I visit Wat Suthat \", \"2017/05/14\"], [\"who went with me to visit Wat Suthat ?\", \"Andrew\"], [\"who went with me to visit Wat Suthat during my trip to Bangkok, Thailand on 2017/05?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e10654\", \"logical_representation\": [\"2017/05/14\", [\"Andrew\"], \"Chinese food\", \"Yaowarat\"], \"text_template_based\": \"I ate Chinese food at Yaowarat with Andrew on  2017/05/14 when I was in Bangkok, Thailand.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Yaowarat ?\", \"Andrew\"], [\"who did I eat Chinese food with?\", \"Andrew\"], [\"where did we eat Chinese food during our trip to Bangkok, Thailand on  2017/05/14?\", \"Yaowarat\"], [\"when did we eat Chinese food at Yaowarat during our trip to Bangkok, Thailand?\", \"2017/05/14\"], [\"when did we eat at Yaowarat?\", \"2017/05/14\"], [\"when did we eat Chinese food?\", \"2017/05/14\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11277\", \"logical_representation\": [\"2017/05/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Kinsley\"], \"text_template_based\": \"I had breakfast with Kinsley. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/05/14?\", \"Kinsley\"], [\"what did I eat for breakfast on 2017/05/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11278\", \"logical_representation\": [\"2017/05/14\", \"lunch\", \"indian food\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I had indian food for lunch with Benjamin, Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/05/14?\", \"Benjamin, Avery, Jackson, Willow\"], [\"what did I eat for lunch on 2017/05/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11279\", \"logical_representation\": [\"2017/05/14\", \"Avery, Piper\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Avery, Piper for 10 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the early afternoon on 2017/05/14?\", \"10 minutes\"], [\"who did I talk to on 2017/05/14?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2017/05/14?\", \"yes\"], [\"Did I talk to anyone on 2017/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/15\": {\"places_visited\": {\"eid\": \"e10650\", \"logical_representation\": [\"2017/05/15\", [\"Andrew\"], \"Wat Traimit\", \"took a group photo\", \"impressed\"], \"text_template_based\": \"During my trip to Bangkok, Thailand, I visited Wat Traimit on 2017/05 with Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Bangkok, Thailand on 2017/05\", \"Wat Traimit\"], [\"when did I visit Wat Traimit during my trip to Bangkok, Thailand\", \"2017/05/15\"], [\"when did I visit Wat Traimit \", \"2017/05/15\"], [\"who went with me to visit Wat Traimit ?\", \"Andrew\"], [\"who went with me to visit Wat Traimit during my trip to Bangkok, Thailand on 2017/05?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11280\", \"logical_representation\": [\"2017/05/15\", \"lunch\", \"sushi\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11281\", \"logical_representation\": [\"2017/05/15\", \"dinner\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/05/15?\", \"Emily\"], [\"what did I eat for dinner on 2017/05/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11282\", \"logical_representation\": [\"2017/05/15\", \"Nevaeh, Nora, Piper, Olivia\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Nora, Piper, Olivia for 27 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Piper, Olivia during lunch hours on 2017/05/15?\", \"27 minutes\"], [\"who did I talk to on 2017/05/15?\", \"Nevaeh, Nora, Piper, Olivia\"], [\"Did I talk to Nevaeh, Nora, Piper, Olivia on 2017/05/15?\", \"yes\"], [\"Did I talk to anyone on 2017/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11283\", \"logical_representation\": [\"2017/05/15\", \"a documentary\", \"19 minutes\"], \"text_template_based\": \"I watched a documentary for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/15?\", \"19 minutes\"], [\"what did I watch on tv on 2017/05/15?\", \"a documentary\"], [\"Did I watch tv on 2017/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/16\": {\"places_visited\": {\"eid\": \"e10651\", \"logical_representation\": [\"2017/05/16\", [\"Andrew\"], \"Wat Arun\", \"took a selfie\", \"happy\"], \"text_template_based\": \"During my trip to Bangkok, Thailand, I visited Wat Arun on 2017/05 with Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Bangkok, Thailand on 2017/05\", \"Wat Arun\"], [\"when did I visit Wat Arun during my trip to Bangkok, Thailand\", \"2017/05/16\"], [\"when did I visit Wat Arun \", \"2017/05/16\"], [\"who went with me to visit Wat Arun ?\", \"Andrew\"], [\"who went with me to visit Wat Arun during my trip to Bangkok, Thailand on 2017/05?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11284\", \"logical_representation\": [\"2017/05/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora\"], \"text_template_based\": \"I had breakfast with Nora. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/05/16?\", \"Nora\"], [\"what did I eat for breakfast on 2017/05/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11285\", \"logical_representation\": [\"2017/05/16\", \"lunch\", \"a burger\", \"Claire, Hazel, Eva, Piper, Layla, Lydia, Avery, Nevaeh, Kinsley\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11286\", \"logical_representation\": [\"2017/05/16\", \"dinner\", \"fish and chips\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/05/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11287\", \"logical_representation\": [\"2017/05/16\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/05/16?\", \"23 minutes\"], [\"what did I read on 2017/05/16?\", \"news\"], [\"Did I read on 2017/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11288\", \"logical_representation\": [\"2017/05/16\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I watched a tv series for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/16?\", \"5 minutes\"], [\"what did I watch on tv on 2017/05/16?\", \"a tv series\"], [\"Did I watch tv on 2017/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/17\": {\"places_visited\": {\"eid\": \"e10652\", \"logical_representation\": [\"2017/05/17\", [\"Andrew\"], \"Grand Palace\", \"bought some souvenirs\", \"happy\"], \"text_template_based\": \"During my trip to Bangkok, Thailand, I visited Grand Palace on 2017/05 with Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Bangkok, Thailand on 2017/05\", \"Grand Palace\"], [\"when did I visit Grand Palace during my trip to Bangkok, Thailand\", \"2017/05/17\"], [\"when did I visit Grand Palace \", \"2017/05/17\"], [\"who went with me to visit Grand Palace ?\", \"Andrew\"], [\"who went with me to visit Grand Palace during my trip to Bangkok, Thailand on 2017/05?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e10655\", \"logical_representation\": [\"2017/05/17\", [\"Andrew\"], \"Italian food\", \"Ratchawat Market\"], \"text_template_based\": \"I ate Italian food at Ratchawat Market with Andrew on  2017/05/17 when I was in Bangkok, Thailand.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Ratchawat Market ?\", \"Andrew\"], [\"who did I eat Italian food with?\", \"Andrew\"], [\"where did we eat Italian food during our trip to Bangkok, Thailand on  2017/05/17?\", \"Ratchawat Market\"], [\"when did we eat Italian food at Ratchawat Market during our trip to Bangkok, Thailand?\", \"2017/05/17\"], [\"when did we eat at Ratchawat Market?\", \"2017/05/17\"], [\"when did we eat Italian food?\", \"2017/05/17\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11289\", \"logical_representation\": [\"2017/05/17\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I had cereals for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/05/17?\", \"Emily\"], [\"what did I eat for breakfast on 2017/05/17\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11290\", \"logical_representation\": [\"2017/05/17\", \"lunch\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11291\", \"logical_representation\": [\"2017/05/17\", \"dinner\", \"indian food\", \"Olivia, Avery, Piper, Kinsley\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/05/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11292\", \"logical_representation\": [\"2017/05/17\", \"Nora\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2017/05/17?\", \"32 minutes\"], [\"who did I talk to on 2017/05/17?\", \"Nora\"], [\"Did I talk to Nora on 2017/05/17?\", \"yes\"], [\"Did I talk to anyone on 2017/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11293\", \"logical_representation\": [\"2017/05/17\", \"news\", \"7 minutes\"], \"text_template_based\": \"I watched news for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/17?\", \"7 minutes\"], [\"what did I watch on tv on 2017/05/17?\", \"news\"], [\"Did I watch tv on 2017/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/18\": {\"dining\": {\"eid\": \"e10656\", \"logical_representation\": [\"2017/05/18\", [\"Andrew\"], \"Italian food\", \"Yaowarat\"], \"text_template_based\": \"I ate Italian food at Yaowarat with Andrew on  2017/05/18 when I was in Bangkok, Thailand.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Yaowarat ?\", \"Andrew\"], [\"who did I eat Italian food with?\", \"Andrew\"], [\"where did we eat Italian food during our trip to Bangkok, Thailand on  2017/05/18?\", \"Yaowarat\"], [\"when did we eat Italian food at Yaowarat during our trip to Bangkok, Thailand?\", \"2017/05/18\"], [\"when did we eat at Yaowarat?\", \"2017/05/18\"], [\"when did we eat Italian food?\", \"2017/05/18\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11294\", \"logical_representation\": [\"2017/05/18\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Avery, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/05/18?\", \"Avery, Jackson, Benjamin\"], [\"what did I eat for breakfast on 2017/05/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2017/11/25\": {\"personal_medical_care\": {\"eid\": \"e10657\", \"logical_representation\": [\"2017/11/25\", \"I went for an annual dental cleaning and checkup on 2017/11/25 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual dental cleaning and checkup on 2017/11/25 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual dental cleaning and checkup in 2017?\", \"2017/11/25\"], [\"where did I go for an annual dental cleaning and checkup on 2017/11/25\", \"university hospital\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12012\", \"logical_representation\": [\"2017/11/25\", \"Kinsley, Layla\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Kinsley, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla during lunch hours on 2017/11/25?\", \"12 minutes\"], [\"who did I talk to on 2017/11/25?\", \"Kinsley, Layla\"], [\"Did I talk to Kinsley, Layla on 2017/11/25?\", \"yes\"], [\"Did I talk to anyone on 2017/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12013\", \"logical_representation\": [\"2017/11/25\", \"Rylee\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I talked to Rylee for 41 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2017/11/25?\", \"41 minutes\"], [\"who did I talk to on 2017/11/25?\", \"Rylee\"], [\"Did I talk to Rylee on 2017/11/25?\", \"yes\"], [\"Did I talk to anyone on 2017/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/27\": {\"parent_medical_care\": {\"eid\": \"e10658\", \"logical_representation\": [\"2017/10/27\", \"my parents for their and I went for an annual physical checkup at the university hospital on 2017/10/27.\", \"university hospital\"], \"text_template_based\": \"my parents for their and I went for an annual physical checkup at the university hospital on 2017/10/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2017?\", \"2017/10/27\"], [\"what did I do on 2017/10/27\", \"I took my parents for their for an  annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10762\", \"logical_representation\": [\"2017/10/27\", \"I bought some guava, pears, mineral water, orange juice, shaving cream, mouthwash, toilet paper, paper towel online.\", \"guava, pears\", \"mineral water, orange juice\", \"shaving cream, mouthwash, toilet paper, paper towel\", \"Andrew\"], \"text_template_based\": \"I bought some guava, pears, mineral water, orange juice, shaving cream, mouthwash, toilet paper, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/10/27?\", \"guava, pears, mineral water, orange juice, and shaving 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I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/10/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11912\", \"logical_representation\": [\"2017/10/27\", \"lunch\", \"pasta\", \"Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/10/27?\", \"Kayden, Andrew\"], [\"what did I eat for lunch on 2017/10/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11913\", \"logical_representation\": [\"2017/10/27\", \"dinner\", \"sandwich\", \"Nevaeh, Avery, Olivia, Lydia, Rylee, Piper, Piper, Layla, Hazel, Kinsley, Eva, Claire, Nora\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/10/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11914\", \"logical_representation\": [\"2017/10/27\", \"Eva, Nora, Hazel\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Eva, Nora, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Hazel during lunch hours on 2017/10/27?\", \"9 minutes\"], [\"who did I talk to on 2017/10/27?\", \"Eva, Nora, Hazel\"], [\"Did I talk to Eva, Nora, Hazel on 2017/10/27?\", \"yes\"], [\"Did I talk to anyone on 2017/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11915\", \"logical_representation\": [\"2017/10/27\", \"Hazel\", \"during lunch hours\", \"30 minutes\"], \"text_template_based\": \"I talked to Hazel for 30 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2017/10/27?\", \"30 minutes\"], [\"who did I talk to on 2017/10/27?\", \"Hazel\"], [\"Did I talk to Hazel on 2017/10/27?\", \"yes\"], [\"Did I talk to anyone on 2017/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11916\", \"logical_representation\": [\"2017/10/27\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/27?\", \"13 minutes\"], [\"what did I watch on tv on 2017/10/27?\", \"a movie\"], [\"Did I watch tv on 2017/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/04\": {\"grocery\": {\"eid\": \"e10659\", \"logical_representation\": [\"2017/01/04\", \"I bought some apples, sports drinks, toothbrush from the grocery store. I saw Claire, Nora at the grocery store.\", \"apples\", \"sports drinks\", \"toothbrush\", \"Claire, Nora\"], \"text_template_based\": \"I bought some apples, sports drinks, toothbrush from the grocery store. I saw Claire, Nora at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/01/04?\", \"apples, sports drinks, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2017/01/04?\", \"apples\"], [\"what drinks did I buy from the grocery store on 2017/01/04?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2017/01/04?\", \"toothbrush\"], [\"who did I see at the grocery store on 2017/01/04?\", \"Claire, Nora\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10794\", \"logical_representation\": [\"2017/01/04\", \"lunch\", \"tacos\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had tacos for lunch with Emily, Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/01/04?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for lunch on 2017/01/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10795\", \"logical_representation\": [\"2017/01/04\", \"dinner\", \"fish and chips\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I had dinner with Benjamin, Avery, Willow. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/01/04?\", \"Benjamin, Avery, Willow\"], [\"what did I eat for dinner on 2017/01/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10796\", \"logical_representation\": [\"2017/01/04\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/01/04?\", \"31 minutes\"], [\"what did I read on 2017/01/04?\", \"social media\"], [\"Did I read on 2017/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/13\": {\"cook\": {\"eid\": \"e10660\", \"logical_representation\": [\"2017/01/13\", \"I entertained Kayden, Andrew at my place on 2017/01/13 and cook air-fryer brats, swedish meatball recipe\", \"cook\", \"air-fryer brats, swedish meatball recipe\", \"Kayden, Andrew\", \"my place\"], \"text_template_based\": \"I entertained Kayden, Andrew at my place on 2017/01/13 and cook air-fryer brats, swedish meatball recipe\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook air-fryer brats, swedish meatball recipe with Kayden, Andrew?\", \"2017/01/13\"], [\"what did I cook on 2017/01/13?\", \"air-fryer brats, swedish meatball recipe\"], [\"who was I with when I  air-fryer brats, swedish meatball recipe on 2017/01/13?\", \"Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e10662\", \"logical_representation\": [\"2017/01/13\", \"Jaxon\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Jaxon on 2017/01/13 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/01/13\", \"Jaxon\"], [\"where did I go for the date on 2017/01/13\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10829\", \"logical_representation\": [\"2017/01/13\", \"breakfast\", \"cereals\", \"Lydia, Piper, Olivia, Rylee, Claire, Piper, Kinsley\"], \"text_template_based\": \"I had breakfast with Lydia, Piper, Olivia, Rylee, Claire, Piper, Kinsley. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/01/13?\", \"Lydia, Piper, Olivia, Rylee, Claire, Piper, Kinsley\"], [\"what did I eat for breakfast on 2017/01/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10830\", \"logical_representation\": [\"2017/01/13\", \"lunch\", \"chinese food\", \"Claire, Piper, Piper, Olivia, Avery\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10831\", \"logical_representation\": [\"2017/01/13\", \"Piper\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2017/01/13?\", \"46 minutes\"], [\"who did I talk to on 2017/01/13?\", \"Piper\"], [\"Did I talk to Piper on 2017/01/13?\", \"yes\"], [\"Did I talk to anyone on 2017/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/08\": {\"dating\": {\"eid\": \"e10661\", \"logical_representation\": [\"2017/01/08\", \"Jordan\", \"a park\"], \"text_template_based\": \"I went on a date with Jordan on 2017/01/08 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/01/08\", \"Jordan\"], [\"where did I go for the date on 2017/01/08\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10807\", \"logical_representation\": [\"2017/01/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/01/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10808\", \"logical_representation\": [\"2017/01/08\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Carter, Andrew, Emily. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/01/08?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for breakfast on 2017/01/08\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10809\", \"logical_representation\": [\"2017/01/08\", \"lunch\", \"steak\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had steak for lunch with Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/01/08?\", \"Jackson, Benjamin\"], [\"what did I eat for lunch on 2017/01/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10810\", \"logical_representation\": [\"2017/01/08\", \"dinner\", \"sushi\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had sushi for dinner with Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/01/08?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for dinner on 2017/01/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10811\", \"logical_representation\": [\"2017/01/08\", \"Piper, Rylee, Claire\", \"late in the evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Piper, Rylee, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Claire late in the evening on 2017/01/08?\", \"35 minutes\"], [\"who did I talk to on 2017/01/08?\", \"Piper, Rylee, Claire\"], [\"Did I talk to Piper, Rylee, Claire on 2017/01/08?\", \"yes\"], [\"Did I talk to anyone on 2017/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/09\": {\"grocery\": {\"eid\": \"e10663\", \"logical_representation\": [\"2017/01/09\", \"I bought some bananas, raspberries, apricots, soda, body lotion, shampoo, mouth wash, conditioner from the grocery store. I saw Emily at the grocery store.\", \"bananas, raspberries, apricots\", \"soda\", \"body lotion, shampoo, mouth wash, conditioner\", \"Emily\"], \"text_template_based\": \"I bought some bananas, raspberries, apricots, soda, body lotion, shampoo, mouth wash, conditioner from the grocery store. I saw Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/01/09?\", \"bananas, raspberries, apricots, soda, and body lotion, shampoo, mouth wash, conditioner\"], [\"what fruits did I buy from the grocery store on 2017/01/09?\", \"bananas, raspberries, apricots\"], [\"what drinks did I buy from the grocery store on 2017/01/09?\", \"soda\"], [\"what toiletries did I buy from the grocery store on 2017/01/09?\", \"body lotion, shampoo, mouth wash, conditioner\"], [\"who did I see at the grocery store on 2017/01/09?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10812\", \"logical_representation\": [\"2017/01/09\", \"lunch\", \"chinese food\", \"Nevaeh, Nora, Olivia, Eva, Layla, Lydia, Avery, Rylee, Kinsley, Piper, Claire, Hazel, Piper\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10813\", \"logical_representation\": [\"2017/01/09\", \"Piper, Avery, Eva, Claire\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Piper, Avery, Eva, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Eva, Claire in the morning on 2017/01/09?\", \"48 minutes\"], [\"who did I talk to on 2017/01/09?\", \"Piper, Avery, Eva, Claire\"], [\"Did I talk to Piper, Avery, Eva, Claire on 2017/01/09?\", \"yes\"], [\"Did I talk to anyone on 2017/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10814\", \"logical_representation\": [\"2017/01/09\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/01/09?\", \"43 minutes\"], [\"what did I read on 2017/01/09?\", \"social media\"], [\"Did I read on 2017/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/14\": {\"grocery\": {\"eid\": \"e10664\", \"logical_representation\": [\"2017/01/14\", \"I bought some apricots, peaches, mineral water, milk, facial wash online.\", \"apricots, peaches\", \"mineral water, milk\", \"facial wash\", \"Andrew\"], \"text_template_based\": \"I bought some apricots, peaches, mineral water, milk, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/01/14?\", \"apricots, peaches, mineral water, milk, and facial wash\"], [\"what fruits did I buy online on 2017/01/14?\", \"apricots, peaches\"], [\"what drinks did I buy online on 2017/01/14?\", \"mineral water, milk\"], [\"what toiletries did I buy online on 2017/01/14?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10832\", \"logical_representation\": [\"2017/01/14\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/01/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/14?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10833\", \"logical_representation\": [\"2017/01/14\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/01/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10834\", \"logical_representation\": [\"2017/01/14\", \"dinner\", \"tacos\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10835\", \"logical_representation\": [\"2017/01/14\", \"news\", \"23 minutes\"], \"text_template_based\": \"I watched news for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/14?\", \"23 minutes\"], [\"what did I watch on tv on 2017/01/14?\", \"news\"], [\"Did I watch tv on 2017/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/18\": {\"dating\": {\"eid\": \"e10665\", \"logical_representation\": [\"2017/01/18\", \"Hailey\", \"a park\"], \"text_template_based\": \"On 2017/01/18, I took Hailey on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/01/18\", \"Hailey\"], [\"where did I go for the date on 2017/01/18\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10846\", \"logical_representation\": [\"2017/01/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/01/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10847\", \"logical_representation\": [\"2017/01/18\", \"breakfast\", \"oatmeal\", \"Kayden\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/01/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10848\", \"logical_representation\": [\"2017/01/18\", \"lunch\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10849\", \"logical_representation\": [\"2017/01/18\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I watched a tv series for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/18?\", \"37 minutes\"], [\"what did I watch on tv on 2017/01/18?\", \"a tv series\"], [\"Did I watch tv on 2017/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/19\": {\"grocery\": {\"eid\": \"e10666\", \"logical_representation\": [\"2017/01/19\", \"I bought some watermelons, pineapple juice, conditioner, mouth wash, toothbrush, toothpaste online.\", \"watermelons\", \"pineapple juice\", \"conditioner, mouth wash, toothbrush, toothpaste\", \"Avery, Rylee, Piper, Layla, Nevaeh, Eva, Piper, Nora, Hazel, Claire\"], \"text_template_based\": \"I bought some watermelons, pineapple juice, conditioner, mouth wash, toothbrush, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/01/19?\", \"watermelons, pineapple juice, and conditioner, mouth wash, toothbrush, toothpaste\"], [\"what fruits did I buy online on 2017/01/19?\", \"watermelons\"], [\"what drinks did I buy online on 2017/01/19?\", \"pineapple juice\"], [\"what toiletries did I buy online on 2017/01/19?\", \"conditioner, mouth wash, toothbrush, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10850\", \"logical_representation\": [\"2017/01/19\", \"biking\"], \"text_template_based\": \"I did biking on 2017/01/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10851\", \"logical_representation\": [\"2017/01/19\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/01/19?\", \"Emily\"], [\"what did I eat for breakfast on 2017/01/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10852\", \"logical_representation\": [\"2017/01/19\", \"dinner\", \"sandwich\", \"Willow\"], \"text_template_based\": \"I had sandwich for dinner with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/01/19?\", \"Willow\"], [\"what did I eat for dinner on 2017/01/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10853\", \"logical_representation\": [\"2017/01/19\", \"Layla, Piper, Olivia\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Layla, Piper, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Olivia in the early evening on 2017/01/19?\", \"27 minutes\"], [\"who did I talk to on 2017/01/19?\", \"Layla, Piper, Olivia\"], [\"Did I talk to Layla, Piper, Olivia on 2017/01/19?\", \"yes\"], [\"Did I talk to anyone on 2017/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10854\", \"logical_representation\": [\"2017/01/19\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/01/19?\", \"39 minutes\"], [\"what did I read on 2017/01/19?\", \"social media\"], [\"Did I read on 2017/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/26\": {\"dating\": {\"eid\": \"e10667\", \"logical_representation\": [\"2017/01/26\", \"Elias\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Elias on 2017/01/26 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/01/26\", \"Elias\"], [\"where did I go for the date on 2017/01/26\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10877\", \"logical_representation\": [\"2017/01/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/01/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10878\", \"logical_representation\": [\"2017/01/26\", \"dinner\", \"indian food\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had dinner with Avery, Jackson, Willow. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/01/26?\", \"Avery, Jackson, Willow\"], [\"what did I eat for dinner on 2017/01/26\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2017/01/25\": {\"grocery\": {\"eid\": \"e10668\", \"logical_representation\": [\"2017/01/25\", \"I bought some mandarins, guava, clementines, chocolate milk, conditioner, mouthwash, paper towel from the grocery store. I saw Benjamin, Willow at the grocery store.\", \"mandarins, guava, clementines\", \"chocolate milk\", \"conditioner, mouthwash, paper towel\", \"Benjamin, Willow\"], \"text_template_based\": \"I bought some mandarins, guava, clementines, chocolate milk, conditioner, mouthwash, paper towel from the grocery store. I saw Benjamin, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/01/25?\", \"mandarins, guava, clementines, chocolate milk, and conditioner, mouthwash, paper towel\"], [\"what fruits did I buy from the grocery store on 2017/01/25?\", \"mandarins, guava, clementines\"], [\"what drinks did I buy from the grocery store on 2017/01/25?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2017/01/25?\", \"conditioner, mouthwash, paper towel\"], [\"who did I see at the grocery store on 2017/01/25?\", \"Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10873\", \"logical_representation\": [\"2017/01/25\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/01/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/25?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10874\", \"logical_representation\": [\"2017/01/25\", \"breakfast\", \"toast and cheese\", \"Lydia, Piper, Avery, Claire, Nevaeh, Nora, Olivia, Eva, Kinsley, Hazel, Rylee\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/01/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10875\", \"logical_representation\": [\"2017/01/25\", \"Kinsley, Rylee\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Kinsley, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee late in the evening on 2017/01/25?\", \"46 minutes\"], [\"who did I talk to on 2017/01/25?\", \"Kinsley, Rylee\"], [\"Did I talk to Kinsley, Rylee on 2017/01/25?\", \"yes\"], [\"Did I talk to anyone on 2017/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10876\", \"logical_representation\": [\"2017/01/25\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/25?\", \"16 minutes\"], [\"what did I watch on tv on 2017/01/25?\", \"a documentary\"], [\"Did I watch tv on 2017/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/29\": {\"dating\": {\"eid\": \"e10669\", \"logical_representation\": [\"2017/01/29\", \"Cora\", \"a park\"], \"text_template_based\": \"I went on a date with Cora on 2017/01/29 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/01/29\", \"Cora\"], [\"where did I go for the date on 2017/01/29\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10891\", \"logical_representation\": [\"2017/01/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/01/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10892\", \"logical_representation\": [\"2017/01/29\", \"lunch\", \"fish and chips\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Carter, Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/01/29?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for lunch on 2017/01/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10893\", \"logical_representation\": [\"2017/01/29\", \"dinner\", \"sushi\", \"Carter, Emily\"], \"text_template_based\": \"I had sushi for dinner with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/01/29?\", \"Carter, Emily\"], [\"what did I eat for dinner on 2017/01/29\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10894\", \"logical_representation\": [\"2017/01/29\", \"Claire, Lydia, Piper, Hazel\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I talked to Claire, Lydia, Piper, Hazel for 31 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Piper, Hazel in the morning on 2017/01/29?\", \"31 minutes\"], [\"who did I talk to on 2017/01/29?\", \"Claire, Lydia, Piper, Hazel\"], [\"Did I talk to Claire, Lydia, Piper, Hazel on 2017/01/29?\", \"yes\"], [\"Did I talk to anyone on 2017/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10895\", \"logical_representation\": [\"2017/01/29\", \"Kinsley, Piper, Rylee, Eva\", \"in the early evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Rylee, Eva for 55 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Rylee, Eva in the early evening on 2017/01/29?\", \"55 minutes\"], [\"who did I talk to on 2017/01/29?\", \"Kinsley, Piper, Rylee, Eva\"], [\"Did I talk to Kinsley, Piper, Rylee, Eva on 2017/01/29?\", \"yes\"], [\"Did I talk to anyone on 2017/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10896\", \"logical_representation\": [\"2017/01/29\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/01/29?\", \"11 minutes\"], [\"what did I read on 2017/01/29?\", \"news\"], [\"Did I read on 2017/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/04\": {\"dating\": {\"eid\": \"e10670\", \"logical_representation\": [\"2017/02/04\", \"Scarlett\", \"a park\"], \"text_template_based\": \"I went on a date with Scarlett on 2017/02/04 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/02/04\", \"Scarlett\"], [\"where did I go for the date on 2017/02/04\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10914\", \"logical_representation\": [\"2017/02/04\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/02/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/04?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10915\", \"logical_representation\": [\"2017/02/04\", \"dinner\", \"tacos\", \"Avery\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/02/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10916\", \"logical_representation\": [\"2017/02/04\", \"Piper\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2017/02/04?\", \"29 minutes\"], [\"who did I talk to on 2017/02/04?\", \"Piper\"], [\"Did I talk to Piper on 2017/02/04?\", \"yes\"], [\"Did I talk to anyone on 2017/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/30\": {\"grocery\": {\"eid\": \"e10671\", \"logical_representation\": [\"2017/01/30\", \"I bought some peaches, bananas, cherres, watermelons, sports drinks, guava juice, tea, toothpaste, paper towel, mouth wash online.\", \"peaches, bananas, cherres, watermelons\", \"sports drinks, guava juice, tea\", \"toothpaste, paper towel, mouth wash\", \"Piper, Piper\"], \"text_template_based\": \"I bought some peaches, bananas, cherres, watermelons, sports drinks, guava juice, tea, toothpaste, paper towel, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/01/30?\", \"peaches, bananas, cherres, watermelons, sports drinks, guava juice, tea, and toothpaste, paper towel, mouth wash\"], [\"what fruits did I buy online on 2017/01/30?\", \"peaches, bananas, cherres, watermelons\"], [\"what drinks did I buy online on 2017/01/30?\", \"sports drinks, guava juice, tea\"], [\"what toiletries did I buy online on 2017/01/30?\", \"toothpaste, paper towel, mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10897\", \"logical_representation\": [\"2017/01/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora, Eva, Kinsley, Piper, Lydia, Avery, Olivia, Rylee, Hazel, Layla, Nevaeh, Claire, Piper\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/01/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10898\", \"logical_representation\": [\"2017/01/30\", \"lunch\", \"a burger\", \"Avery, Benjamin\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10899\", \"logical_representation\": [\"2017/01/30\", \"Lydia, Piper, Kinsley, Layla\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Lydia, Piper, Kinsley, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Kinsley, Layla late in the evening on 2017/01/30?\", \"39 minutes\"], [\"who did I talk to on 2017/01/30?\", \"Lydia, Piper, Kinsley, Layla\"], [\"Did I talk to Lydia, Piper, Kinsley, Layla on 2017/01/30?\", \"yes\"], [\"Did I talk to anyone on 2017/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10900\", \"logical_representation\": [\"2017/01/30\", \"a tv series\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/30?\", \"25 minutes\"], [\"what did I watch on tv on 2017/01/30?\", \"a tv series\"], [\"Did I watch tv on 2017/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/07\": {\"dating\": {\"eid\": \"e10672\", \"logical_representation\": [\"2017/02/07\", \"Adrian\", \"a park\"], \"text_template_based\": \"I went on a date with Adrian on 2017/02/07 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/02/07\", \"Adrian\"], [\"where did I go for the date on 2017/02/07\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10926\", \"logical_representation\": [\"2017/02/07\", \"breakfast\", \"oatmeal\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10927\", \"logical_representation\": [\"2017/02/07\", \"lunch\", \"pasta\", \"Andrew, Kayden\"], \"text_template_based\": \"I had pasta for lunch with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/02/07?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2017/02/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10928\", \"logical_representation\": [\"2017/02/07\", \"dinner\", \"steak\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/02/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10929\", \"logical_representation\": [\"2017/02/07\", \"Piper\", \"in the morning\", \"36 minutes\"], \"text_template_based\": \"I talked to Piper for 36 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2017/02/07?\", \"36 minutes\"], [\"who did I talk to on 2017/02/07?\", \"Piper\"], [\"Did I talk to Piper on 2017/02/07?\", \"yes\"], [\"Did I talk to anyone on 2017/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10930\", \"logical_representation\": [\"2017/02/07\", \"a book\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/02/07?\", \"31 minutes\"], [\"what did I read on 2017/02/07?\", \"a book\"], [\"Did I read on 2017/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/08\": {\"dating\": {\"eid\": \"e10673\", \"logical_representation\": [\"2017/02/08\", \"Nevaeh\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Nevaeh on 2017/02/08 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/02/08\", \"Nevaeh\"], [\"where did I go for the date on 2017/02/08\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e10675\", \"logical_representation\": [\"2017/02/08\", \"I really enjoyed working out on 2017/02/08\", \"working out\", \"Andrew\"], \"text_template_based\": \"I really enjoyed working out on 2017/02/08\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2017/02/08\"], [\"On 2017/02/08, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10676\", \"logical_representation\": [\"2017/02/08\", \"I bought some apricots, chocolate milk, apple juice, soda, body lotion, mouthwash online.\", \"apricots\", \"chocolate milk, apple juice, soda\", \"body lotion, mouthwash\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I bought some apricots, chocolate milk, apple juice, soda, body lotion, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/02/08?\", \"apricots, chocolate milk, apple juice, soda, and body lotion, mouthwash\"], [\"what fruits did I buy online on 2017/02/08?\", \"apricots\"], [\"what drinks did I buy online on 2017/02/08?\", \"chocolate milk, apple juice, soda\"], [\"what toiletries did I buy online on 2017/02/08?\", \"body lotion, mouthwash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10931\", \"logical_representation\": [\"2017/02/08\", \"breakfast\", \"oatmeal\", \"Willow\"], \"text_template_based\": \"I had breakfast with Willow. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/02/08?\", \"Willow\"], [\"what did I eat for breakfast on 2017/02/08\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10932\", \"logical_representation\": [\"2017/02/08\", \"Nevaeh, Layla, Claire\", \"during lunch hours\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Nevaeh, Layla, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Claire during lunch hours on 2017/02/08?\", \"50 minutes\"], [\"who did I talk to on 2017/02/08?\", \"Nevaeh, Layla, Claire\"], [\"Did I talk to Nevaeh, Layla, Claire on 2017/02/08?\", \"yes\"], [\"Did I talk to anyone on 2017/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10933\", \"logical_representation\": [\"2017/02/08\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/02/08?\", \"47 minutes\"], [\"what did I read on 2017/02/08?\", \"news\"], [\"Did I read on 2017/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/05\": {\"hobbies\": {\"eid\": \"e10674\", \"logical_representation\": [\"2017/02/05\", \"I spent time gardening on 2017/02/05 with Carter, Andrew.\", \"gardening\", \"Carter, Andrew\"], \"text_template_based\": \"I spent time gardening on 2017/02/05 with Carter, Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Carter, Andrew?\", \"2017/02/05\"], [\"On 2017/02/05, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2017/02/05?\", \"Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10917\", \"logical_representation\": [\"2017/02/05\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/02/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/05?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10918\", \"logical_representation\": [\"2017/02/05\", \"breakfast\", \"toast and cheese\", \"Avery, Willow\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10919\", \"logical_representation\": [\"2017/02/05\", \"dinner\", \"a burger\", \"Carter\"], \"text_template_based\": \"I had a burger for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/02/05?\", \"Carter\"], [\"what did I eat for dinner on 2017/02/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10920\", \"logical_representation\": [\"2017/02/05\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/02/05?\", \"48 minutes\"], [\"what did I read on 2017/02/05?\", \"a book\"], [\"Did I read on 2017/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10921\", \"logical_representation\": [\"2017/02/05\", \"a documentary\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/05?\", \"21 minutes\"], [\"what did I watch on tv on 2017/02/05?\", \"a documentary\"], [\"Did I watch tv on 2017/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/12\": {\"dating\": {\"eid\": \"e10677\", \"logical_representation\": [\"2017/02/12\", \"Eli\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Eli on 2017/02/12 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/02/12\", \"Eli\"], [\"where did I go for the date on 2017/02/12\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10680\", \"logical_representation\": [\"2017/02/12\", \"I went grocery shopping. I bought some peaches, mangos, raspberries, cherres, pineapple juice, tea, chocolate milk, sports drinks, and toothbrush, shaving cream, mouth wash, facial wash\", \"peaches, mangos, raspberries, cherres\", \"pineapple juice, tea, chocolate milk, sports drinks\", \"toothbrush, shaving cream, mouth wash, facial wash\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, mangos, raspberries, cherres, pineapple juice, tea, chocolate milk, sports drinks, and toothbrush, shaving cream, mouth wash, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/02/12?\", \"peaches, mangos, raspberries, cherres, pineapple juice, tea, chocolate milk, sports drinks, and toothbrush, shaving cream, mouth wash, facial wash\"], [\"what fruits did I buy from the grocery store on 2017/02/12?\", \"peaches, mangos, raspberries, cherres\"], [\"what drinks did I buy from the grocery store on 2017/02/12?\", \"pineapple juice, tea, chocolate milk, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2017/02/12?\", \"toothbrush, shaving cream, mouth wash, facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10945\", \"logical_representation\": [\"2017/02/12\", \"running\"], \"text_template_based\": \"I did running on 2017/02/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/12?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10946\", \"logical_representation\": [\"2017/02/12\", \"lunch\", \"sushi\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Carter, Kayden, Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/02/12?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for lunch on 2017/02/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10947\", \"logical_representation\": [\"2017/02/12\", \"dinner\", \"sandwich\", \"Andrew, Emily\"], \"text_template_based\": \"I had sandwich for dinner with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/02/12?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2017/02/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10948\", \"logical_representation\": [\"2017/02/12\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/02/12?\", \"28 minutes\"], [\"what did I read on 2017/02/12?\", \"news\"], [\"Did I read on 2017/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/17\": {\"dating\": {\"eid\": \"e10678\", \"logical_representation\": [\"2017/02/17\", \"Adam\", \"a park\"], \"text_template_based\": \"I went on a date with Adam on 2017/02/17 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/02/17\", \"Adam\"], [\"where did I go for the date on 2017/02/17\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e10679\", \"logical_representation\": [\"2017/02/17\", \"I spent time learning a language on 2017/02/17 with Kinsley.\", \"learning a language\", \"Kinsley\"], \"text_template_based\": \"I spent time learning a language on 2017/02/17 with Kinsley.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Kinsley?\", \"2017/02/17\"], [\"On 2017/02/17, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2017/02/17?\", \"Kinsley\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10681\", \"logical_representation\": [\"2017/02/17\", \"I went grocery shopping. I bought some apples, guava, pears, blackberries, sports drinks, orange juice, guava juice, and conditioner\", \"apples, guava, pears, blackberries\", \"sports drinks, orange juice, guava juice\", \"conditioner\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, guava, pears, blackberries, sports drinks, orange juice, guava juice, and conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/02/17?\", \"apples, guava, pears, blackberries, sports drinks, orange juice, guava juice, and conditioner\"], [\"what fruits did I buy from the grocery store on 2017/02/17?\", \"apples, guava, pears, blackberries\"], [\"what drinks did I buy from the grocery store on 2017/02/17?\", \"sports drinks, orange juice, guava juice\"], [\"what toiletries did I buy from the grocery store on 2017/02/17?\", \"conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10965\", \"logical_representation\": [\"2017/02/17\", \"biking\"], \"text_template_based\": \"I did biking on 2017/02/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10966\", \"logical_representation\": [\"2017/02/17\", \"Rylee, Kinsley, Olivia\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Rylee, Kinsley, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Olivia in the morning on 2017/02/17?\", \"31 minutes\"], [\"who did I talk to on 2017/02/17?\", \"Rylee, Kinsley, Olivia\"], [\"Did I talk to Rylee, Kinsley, Olivia on 2017/02/17?\", \"yes\"], [\"Did I talk to anyone on 2017/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10967\", \"logical_representation\": [\"2017/02/17\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/02/17?\", \"16 minutes\"], [\"what did I read on 2017/02/17?\", \"a book\"], [\"Did I read on 2017/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/24\": {\"dating\": {\"eid\": \"e10682\", \"logical_representation\": [\"2017/02/24\", \"Emery\", \"a park\"], \"text_template_based\": \"On 2017/02/24, I took Emery on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/02/24\", \"Emery\"], [\"where did I go for the date on 2017/02/24\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10990\", \"logical_representation\": [\"2017/02/24\", \"breakfast\", \"pancakes\", \"Piper, Hazel, Rylee, Layla\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/20\": {\"grocery\": {\"eid\": \"e10683\", \"logical_representation\": [\"2017/02/20\", \"I went grocery shopping with Emily, Andrew. I bought some pineapples, guava, clementines, strawberries, apple juice, guava juice, milk, and shampoo, toilet paper, toothpaste, mouth wash\", \"pineapples, guava, clementines, strawberries\", \"apple juice, guava juice, milk\", \"shampoo, toilet paper, toothpaste, mouth wash\", \"Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping with Emily, Andrew. I bought some pineapples, guava, clementines, strawberries, apple juice, guava juice, milk, and shampoo, toilet paper, toothpaste, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/02/20?\", \"pineapples, guava, clementines, strawberries, apple juice, guava juice, milk, and shampoo, toilet paper, toothpaste, mouth wash\"], [\"what fruits did I buy from the grocery store on 2017/02/20?\", \"pineapples, guava, clementines, strawberries\"], [\"what drinks did I buy from the grocery store on 2017/02/20?\", \"apple juice, guava juice, milk\"], [\"what toiletries did I buy from the grocery store on 2017/02/20?\", \"shampoo, toilet paper, toothpaste, mouth wash\"], [\"who was with me at the grocery store on 2017/02/20?\", \"Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e10973\", \"logical_representation\": [\"2017/02/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/02/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10974\", \"logical_representation\": [\"2017/02/20\", \"breakfast\", \"toast and cheese\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I had breakfast with Willow, Avery, Benjamin. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/02/20?\", \"Willow, Avery, Benjamin\"], [\"what did I eat for breakfast on 2017/02/20\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10975\", \"logical_representation\": [\"2017/02/20\", \"lunch\", \"chinese food\", \"Olivia, Nora, Nevaeh, Hazel, Eva, Lydia\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/02/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10976\", \"logical_representation\": [\"2017/02/20\", \"Olivia\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2017/02/20?\", \"34 minutes\"], [\"who did I talk to on 2017/02/20?\", \"Olivia\"], [\"Did I talk to Olivia on 2017/02/20?\", \"yes\"], [\"Did I talk to anyone on 2017/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10977\", \"logical_representation\": [\"2017/02/20\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/20?\", \"39 minutes\"], [\"what did I watch on tv on 2017/02/20?\", \"a movie\"], [\"Did I watch tv on 2017/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/03\": {\"grocery\": {\"eid\": \"e10684\", \"logical_representation\": [\"2017/03/03\", \"I bought some blackberries, bananas, cherres, guava juice, chocolate milk, paper towel from the grocery store. I saw Carter at the grocery store.\", \"blackberries, bananas, cherres\", \"guava juice, chocolate milk\", \"paper towel\", \"Carter\"], \"text_template_based\": \"I bought some blackberries, bananas, cherres, guava juice, chocolate milk, paper towel from the grocery store. I saw Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/03/03?\", \"blackberries, bananas, cherres, guava juice, chocolate milk, and paper towel\"], [\"what fruits did I buy from the grocery store on 2017/03/03?\", \"blackberries, bananas, cherres\"], [\"what drinks did I buy from the grocery store on 2017/03/03?\", \"guava juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2017/03/03?\", \"paper towel\"], [\"who did I see at the grocery store on 2017/03/03?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11011\", \"logical_representation\": [\"2017/03/03\", \"dinner\", \"tacos\", \"Kinsley, Hazel\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11012\", \"logical_representation\": [\"2017/03/03\", \"Piper\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2017/03/03?\", \"18 minutes\"], [\"who did I talk to on 2017/03/03?\", \"Piper\"], [\"Did I talk to Piper on 2017/03/03?\", \"yes\"], [\"Did I talk to anyone on 2017/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/08\": {\"cook\": {\"eid\": \"e10685\", \"logical_representation\": [\"2017/03/08\", \"I was cooking cream of celery soup recipe on 2017/03/08 with Kayden, Emily, Carter, Andrew at my place\", \"cook\", \"cream of celery soup recipe\", \"Kayden, Emily, Carter, Andrew\", \"my place\"], \"text_template_based\": \"I was cooking cream of celery soup recipe on 2017/03/08 with Kayden, Emily, Carter, Andrew at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  cream of celery soup recipe with Kayden, Emily, Carter, Andrew?\", \"2017/03/08\"], [\"what did I  on 2017/03/08?\", \"cream of celery soup recipe\"], [\"who was I with when I  cream of celery soup recipe on 2017/03/08?\", \"Kayden, Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11028\", \"logical_representation\": [\"2017/03/08\", \"biking\"], \"text_template_based\": \"I did biking on 2017/03/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/08?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11029\", \"logical_representation\": [\"2017/03/08\", \"breakfast\", \"oatmeal\", \"Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/08\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11030\", \"logical_representation\": [\"2017/03/08\", \"lunch\", \"indian food\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/03/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11031\", \"logical_representation\": [\"2017/03/08\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/03/08?\", \"29 minutes\"], [\"what did I read on 2017/03/08?\", \"a book\"], [\"Did I read on 2017/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11032\", \"logical_representation\": [\"2017/03/08\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I watched a tv series for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/08?\", \"8 minutes\"], [\"what did I watch on tv on 2017/03/08?\", \"a tv series\"], [\"Did I watch tv on 2017/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/06\": {\"grocery\": {\"eid\": \"e10686\", \"logical_representation\": [\"2017/03/06\", \"I bought some strawberries, nectarines, clementines, guava, sports drinks, apple juice, coffee, tea, shaving cream, mouth wash, toothpaste from the grocery store. I saw Rylee, Eva, Lydia, Nora, Hazel, Nevaeh, Piper, Piper at the grocery store.\", \"strawberries, nectarines, clementines, guava\", \"sports drinks, apple juice, coffee, tea\", \"shaving cream, mouth wash, toothpaste\", \"Rylee, Eva, Lydia, Nora, Hazel, Nevaeh, Piper, Piper\"], \"text_template_based\": \"I bought some strawberries, nectarines, clementines, guava, sports drinks, apple juice, coffee, tea, shaving cream, mouth wash, toothpaste from the grocery store. I saw Rylee, Eva, Lydia, Nora, Hazel, Nevaeh, Piper, Piper at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/03/06?\", \"strawberries, nectarines, clementines, guava, sports drinks, apple juice, coffee, tea, and shaving cream, mouth wash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2017/03/06?\", \"strawberries, nectarines, clementines, guava\"], [\"what drinks did I buy from the grocery store on 2017/03/06?\", \"sports drinks, apple juice, coffee, tea\"], [\"what toiletries did I buy from the grocery store on 2017/03/06?\", \"shaving cream, mouth wash, toothpaste\"], [\"who did I see at the grocery store on 2017/03/06?\", \"Rylee, Eva, Lydia, Nora, Hazel, Nevaeh, Piper, Piper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11019\", \"logical_representation\": [\"2017/03/06\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11020\", \"logical_representation\": [\"2017/03/06\", \"dinner\", \"a burger\", \"Claire, Piper, Layla, Nora\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11021\", \"logical_representation\": [\"2017/03/06\", \"Hazel, Nora, Piper, Kinsley\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Hazel, Nora, Piper, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Piper, Kinsley in the late afternoon on 2017/03/06?\", \"44 minutes\"], [\"who did I talk to on 2017/03/06?\", \"Hazel, Nora, Piper, Kinsley\"], [\"Did I talk to Hazel, Nora, Piper, Kinsley on 2017/03/06?\", \"yes\"], [\"Did I talk to anyone on 2017/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11022\", \"logical_representation\": [\"2017/03/06\", \"Layla, Hazel, Eva, Rylee\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Layla, Hazel, Eva, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Eva, Rylee in the morning on 2017/03/06?\", \"49 minutes\"], [\"who did I talk to on 2017/03/06?\", \"Layla, Hazel, Eva, Rylee\"], [\"Did I talk to Layla, Hazel, Eva, Rylee on 2017/03/06?\", \"yes\"], [\"Did I talk to anyone on 2017/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11023\", \"logical_representation\": [\"2017/03/06\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/03/06?\", \"25 minutes\"], [\"what did I read on 2017/03/06?\", \"social media\"], [\"Did I read on 2017/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11024\", \"logical_representation\": [\"2017/03/06\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/06?\", \"40 minutes\"], [\"what did I watch on tv on 2017/03/06?\", \"a documentary\"], [\"Did I watch tv on 2017/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/10\": {\"grocery\": {\"eid\": \"e10687\", \"logical_representation\": [\"2017/03/10\", \"I went grocery shopping with Carter, Andrew, Kayden. I bought some nectarines, blueberries, blackberries, strawberries, tea, mango juice, apple juice, and mouth wash, mouthwash, toilet paper, facial wash\", \"nectarines, blueberries, blackberries, strawberries\", \"tea, mango juice, apple juice\", \"mouth wash, mouthwash, toilet paper, facial wash\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping with Carter, Andrew, Kayden. I bought some nectarines, blueberries, blackberries, strawberries, tea, mango juice, apple juice, and mouth wash, mouthwash, toilet paper, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/03/10?\", \"nectarines, blueberries, blackberries, strawberries, tea, mango juice, apple juice, and mouth wash, mouthwash, toilet paper, facial wash\"], [\"what fruits did I buy from the grocery store on 2017/03/10?\", \"nectarines, blueberries, blackberries, strawberries\"], [\"what drinks did I buy from the grocery store on 2017/03/10?\", \"tea, mango juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2017/03/10?\", \"mouth wash, mouthwash, toilet paper, facial wash\"], [\"who was with me at the grocery store on 2017/03/10?\", \"Carter, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11035\", \"logical_representation\": [\"2017/03/10\", \"breakfast\", \"pancakes\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Kayden, Emily. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/03/10?\", \"Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2017/03/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11036\", \"logical_representation\": [\"2017/03/10\", \"lunch\", \"indian food\", \"Rylee, Kinsley, Olivia, Claire, Piper, Nevaeh, Avery, Layla\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/03/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11037\", \"logical_representation\": [\"2017/03/10\", \"dinner\", \"pasta\", \"Nora, Piper\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11038\", \"logical_representation\": [\"2017/03/10\", \"Claire\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Claire for 37 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2017/03/10?\", \"37 minutes\"], [\"who did I talk to on 2017/03/10?\", \"Claire\"], [\"Did I talk to Claire on 2017/03/10?\", \"yes\"], [\"Did I talk to anyone on 2017/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11039\", \"logical_representation\": [\"2017/03/10\", \"news\", \"49 minutes\"], \"text_template_based\": \"I watched news for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/10?\", \"49 minutes\"], [\"what did I watch on tv on 2017/03/10?\", \"news\"], [\"Did I watch tv on 2017/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/15\": {\"dating\": {\"eid\": \"e10688\", \"logical_representation\": [\"2017/03/15\", \"Lambert\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Lambert on 2017/03/15 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/03/15\", \"Lambert\"], [\"where did I go for the date on 2017/03/15\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11057\", \"logical_representation\": [\"2017/03/15\", \"running\"], \"text_template_based\": \"I did running on 2017/03/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11058\", \"logical_representation\": [\"2017/03/15\", \"breakfast\", \"cereals\", \"Nevaeh, Lydia, Eva, Claire, Layla, Olivia, Rylee, Nora, Kinsley, Hazel, Piper, Avery\"], \"text_template_based\": \"I had cereals for breakfast with Nevaeh, Lydia, Eva, Claire, Layla, Olivia, Rylee, Nora, Kinsley, Hazel, Piper, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/03/15?\", \"Nevaeh, Lydia, Eva, Claire, Layla, Olivia, Rylee, Nora, Kinsley, Hazel, Piper, Avery\"], [\"what did I eat for breakfast on 2017/03/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11059\", \"logical_representation\": [\"2017/03/15\", \"lunch\", \"a burger\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/03/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11060\", \"logical_representation\": [\"2017/03/15\", \"Rylee, Nora\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Rylee, Nora for 25 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora late in the evening on 2017/03/15?\", \"25 minutes\"], [\"who did I talk to on 2017/03/15?\", \"Rylee, Nora\"], [\"Did I talk to Rylee, Nora on 2017/03/15?\", \"yes\"], [\"Did I talk to anyone on 2017/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11061\", \"logical_representation\": [\"2017/03/15\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I watched a movie for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/15?\", \"32 minutes\"], [\"what did I watch on tv on 2017/03/15?\", \"a movie\"], [\"Did I watch tv on 2017/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/16\": {\"hobbies\": {\"eid\": \"e10689\", \"logical_representation\": [\"2017/03/16\", \"I spent some time yoga on 2017/03/16.\", \"yoga\", \"Kinsley\"], \"text_template_based\": \"I spent some time yoga on 2017/03/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2017/03/16\"], [\"On 2017/03/16, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11062\", \"logical_representation\": [\"2017/03/16\", \"lunch\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/03/16?\", \"Andrew\"], [\"what did I eat for lunch on 2017/03/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11063\", \"logical_representation\": [\"2017/03/16\", \"Piper, Piper, Olivia, Eva\", \"in the early afternoon\", \"30 minutes\"], \"text_template_based\": \"I talked to Piper, Piper, Olivia, Eva for 30 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Olivia, Eva in the early afternoon on 2017/03/16?\", \"30 minutes\"], [\"who did I talk to on 2017/03/16?\", \"Piper, Piper, Olivia, Eva\"], [\"Did I talk to Piper, Piper, Olivia, Eva on 2017/03/16?\", \"yes\"], [\"Did I talk to anyone on 2017/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/18\": {\"grocery\": {\"eid\": \"e10690\", \"logical_representation\": [\"2017/03/18\", \"I went grocery shopping with Carter, Kayden, Emily. I bought some raspberries, chocolate milk, milk, mango juice, and shaving cream\", \"raspberries\", \"chocolate milk, milk, mango juice\", \"shaving cream\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping with Carter, Kayden, Emily. I bought some raspberries, chocolate milk, milk, mango juice, and shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/03/18?\", \"raspberries, chocolate milk, milk, mango juice, and shaving cream\"], [\"what fruits did I buy from the grocery store on 2017/03/18?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2017/03/18?\", \"chocolate milk, milk, mango juice\"], [\"what toiletries did I buy from the grocery store on 2017/03/18?\", \"shaving cream\"], [\"who was with me at the grocery store on 2017/03/18?\", \"Carter, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11069\", \"logical_representation\": [\"2017/03/18\", \"biking\"], \"text_template_based\": \"I did biking on 2017/03/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/18?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11070\", \"logical_representation\": [\"2017/03/18\", \"breakfast\", \"cereals\", \"Nevaeh, Hazel, Nora, Piper, Kinsley, Piper, Layla, Claire, Lydia\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11071\", \"logical_representation\": [\"2017/03/18\", \"dinner\", \"a burger\", \"Benjamin\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11072\", \"logical_representation\": [\"2017/03/18\", \"Hazel\", \"in the late afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2017/03/18?\", \"36 minutes\"], [\"who did I talk to on 2017/03/18?\", \"Hazel\"], [\"Did I talk to Hazel on 2017/03/18?\", \"yes\"], [\"Did I talk to anyone on 2017/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11073\", \"logical_representation\": [\"2017/03/18\", \"Rylee, Eva\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Rylee, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva during lunch hours on 2017/03/18?\", \"48 minutes\"], [\"who did I talk to on 2017/03/18?\", \"Rylee, Eva\"], [\"Did I talk to Rylee, Eva on 2017/03/18?\", \"yes\"], [\"Did I talk to anyone on 2017/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/23\": {\"dating\": {\"eid\": \"e10691\", \"logical_representation\": [\"2017/03/23\", \"Lydia\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Lydia on 2017/03/23 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/03/23\", \"Lydia\"], [\"where did I go for the date on 2017/03/23\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11083\", \"logical_representation\": [\"2017/03/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Lydia, Olivia, Rylee, Piper, Nevaeh, Layla, Claire, Kinsley\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11084\", \"logical_representation\": [\"2017/03/23\", \"lunch\", \"indian food\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/03/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11085\", \"logical_representation\": [\"2017/03/23\", \"dinner\", \"fish and chips\", \"Layla, Olivia, Piper, Lydia, Eva\"], \"text_template_based\": \"I had dinner with Layla, Olivia, Piper, Lydia, Eva. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/03/23?\", \"Layla, Olivia, Piper, Lydia, Eva\"], [\"what did I eat for dinner on 2017/03/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11086\", \"logical_representation\": [\"2017/03/23\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/03/23?\", \"19 minutes\"], [\"what did I read on 2017/03/23?\", \"news\"], [\"Did I read on 2017/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11087\", \"logical_representation\": [\"2017/03/23\", \"a tv series\", \"41 minutes\"], \"text_template_based\": \"I watched a tv series for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/23?\", \"41 minutes\"], [\"what did I watch on tv on 2017/03/23?\", \"a tv series\"], [\"Did I watch tv on 2017/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/21\": {\"hobbies\": {\"eid\": \"e10692\", \"logical_representation\": [\"2017/03/21\", \"I spent time working out on 2017/03/21 with Olivia.\", \"working out\", \"Olivia\"], \"text_template_based\": \"I spent time working out on 2017/03/21 with Olivia.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Olivia?\", \"2017/03/21\"], [\"On 2017/03/21, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2017/03/21?\", \"Olivia\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11079\", \"logical_representation\": [\"2017/03/21\", \"lunch\", \"a burger\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/03/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11080\", \"logical_representation\": [\"2017/03/21\", \"dinner\", \"chinese food\", \"Rylee, Hazel, Eva, Nevaeh, Piper, Olivia, Piper, Nora, Kinsley, Claire, Lydia, Avery\"], \"text_template_based\": \"I had chinese food for dinner with Rylee, Hazel, Eva, Nevaeh, Piper, Olivia, Piper, Nora, Kinsley, Claire, Lydia, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/03/21?\", \"Rylee, Hazel, Eva, Nevaeh, Piper, Olivia, Piper, Nora, Kinsley, Claire, Lydia, Avery\"], [\"what did I eat for dinner on 2017/03/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11081\", \"logical_representation\": [\"2017/03/21\", \"Kinsley, Nora\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Kinsley, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora in the late afternoon on 2017/03/21?\", \"26 minutes\"], [\"who did I talk to on 2017/03/21?\", \"Kinsley, Nora\"], [\"Did I talk to Kinsley, Nora on 2017/03/21?\", \"yes\"], [\"Did I talk to anyone on 2017/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/28\": {\"dating\": {\"eid\": \"e10693\", \"logical_representation\": [\"2017/03/28\", \"Joshua\", \"a boba shop\"], \"text_template_based\": \"On 2017/03/28, I took Joshua on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/03/28\", \"Joshua\"], [\"where did I go for the date on 2017/03/28\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11105\", \"logical_representation\": [\"2017/03/28\", \"lunch\", \"chinese food\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/03/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11106\", \"logical_representation\": [\"2017/03/28\", \"Claire\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2017/03/28?\", \"19 minutes\"], [\"who did I talk to on 2017/03/28?\", \"Claire\"], [\"Did I talk to Claire on 2017/03/28?\", \"yes\"], [\"Did I talk to anyone on 2017/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11107\", \"logical_representation\": [\"2017/03/28\", \"Piper, Kinsley, Avery, Olivia\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Piper, Kinsley, Avery, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Avery, Olivia in the early afternoon on 2017/03/28?\", \"51 minutes\"], [\"who did I talk to on 2017/03/28?\", \"Piper, Kinsley, Avery, Olivia\"], [\"Did I talk to Piper, Kinsley, Avery, Olivia on 2017/03/28?\", \"yes\"], [\"Did I talk to anyone on 2017/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11108\", \"logical_representation\": [\"2017/03/28\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/28?\", \"14 minutes\"], [\"what did I watch on tv on 2017/03/28?\", \"news\"], [\"Did I watch tv on 2017/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/30\": {\"hobbies\": {\"eid\": \"e10694\", \"logical_representation\": [\"2017/03/30\", \"I spent time learning a language on 2017/03/30 with Carter, Kayden.\", \"learning a language\", \"Carter, Kayden\"], \"text_template_based\": \"I spent time learning a language on 2017/03/30 with Carter, Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Carter, Kayden?\", \"2017/03/30\"], [\"On 2017/03/30, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2017/03/30?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11112\", \"logical_representation\": [\"2017/03/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/03/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11113\", \"logical_representation\": [\"2017/03/30\", \"breakfast\", \"oatmeal\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/30\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11114\", \"logical_representation\": [\"2017/03/30\", \"lunch\", \"pasta\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/03/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11115\", \"logical_representation\": [\"2017/03/30\", \"Layla\", \"in the morning\", \"34 minutes\"], \"text_template_based\": \"I talked to Layla for 34 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2017/03/30?\", \"34 minutes\"], [\"who did I talk to on 2017/03/30?\", \"Layla\"], [\"Did I talk to Layla on 2017/03/30?\", \"yes\"], [\"Did I talk to anyone on 2017/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11116\", \"logical_representation\": [\"2017/03/30\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/03/30?\", \"46 minutes\"], [\"what did I read on 2017/03/30?\", \"social media\"], [\"Did I read on 2017/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11117\", \"logical_representation\": [\"2017/03/30\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/30?\", \"26 minutes\"], [\"what did I watch on tv on 2017/03/30?\", \"a movie\"], [\"Did I watch tv on 2017/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/08\": {\"dating\": {\"eid\": \"e10695\", \"logical_representation\": [\"2017/04/08\", \"Emery\", \"a park\"], \"text_template_based\": \"On 2017/04/08, I took Emery on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/04/08\", \"Emery\"], [\"where did I go for the date on 2017/04/08\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e10696\", \"logical_representation\": [\"2017/04/08\", \"I really enjoyed gardening on 2017/04/08\", \"gardening\", \"Nora, Nevaeh\"], \"text_template_based\": \"I really enjoyed gardening on 2017/04/08\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2017/04/08\"], [\"On 2017/04/08, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11145\", \"logical_representation\": [\"2017/04/08\", \"lunch\", \"steak\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/04/08?\", \"Carter\"], [\"what did I eat for lunch on 2017/04/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11146\", \"logical_representation\": [\"2017/04/08\", \"dinner\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/04/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11147\", \"logical_representation\": [\"2017/04/08\", \"Claire, Lydia\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Claire, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia late in the evening on 2017/04/08?\", \"31 minutes\"], [\"who did I talk to on 2017/04/08?\", \"Claire, Lydia\"], [\"Did I talk to Claire, Lydia on 2017/04/08?\", \"yes\"], [\"Did I talk to anyone on 2017/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11148\", \"logical_representation\": [\"2017/04/08\", \"a documentary\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/08?\", \"31 minutes\"], [\"what did I watch on tv on 2017/04/08?\", \"a documentary\"], [\"Did I watch tv on 2017/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/04\": {\"grocery\": {\"eid\": \"e10697\", \"logical_representation\": [\"2017/04/04\", \"I went grocery shopping with Emily, Andrew, Kayden, Carter. I bought some bananas, blueberries, peaches, tea, mineral water, coffee, and mouthwash, shampoo\", \"bananas, blueberries, peaches\", \"tea, mineral water, coffee\", \"mouthwash, shampoo\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping with Emily, Andrew, Kayden, Carter. I bought some bananas, blueberries, peaches, tea, mineral water, coffee, and mouthwash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/04/04?\", \"bananas, blueberries, peaches, tea, mineral water, coffee, and mouthwash, shampoo\"], [\"what fruits did I buy from the grocery store on 2017/04/04?\", \"bananas, blueberries, peaches\"], [\"what drinks did I buy from the grocery store on 2017/04/04?\", \"tea, mineral water, coffee\"], [\"what toiletries did I buy from the grocery store on 2017/04/04?\", \"mouthwash, shampoo\"], [\"who was with me at the grocery store on 2017/04/04?\", \"Emily, Andrew, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11131\", \"logical_representation\": [\"2017/04/04\", \"biking\"], \"text_template_based\": \"I did biking on 2017/04/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/04?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2017/04/05\": {\"grocery\": {\"eid\": \"e10698\", \"logical_representation\": [\"2017/04/05\", \"I bought some clementines, apples, cherres, blackberries, milk, apple juice, tea, mouthwash, body lotion, shaving cream online.\", \"clementines, apples, cherres, blackberries\", \"milk, apple juice, tea\", \"mouthwash, body lotion, shaving cream\", \"Kayden, Emily\"], \"text_template_based\": \"I bought some clementines, apples, cherres, blackberries, milk, apple juice, tea, mouthwash, body lotion, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/04/05?\", \"clementines, apples, cherres, blackberries, milk, apple juice, tea, and mouthwash, body lotion, shaving cream\"], [\"what fruits did I buy online on 2017/04/05?\", \"clementines, apples, cherres, blackberries\"], [\"what drinks did I buy online on 2017/04/05?\", \"milk, apple juice, tea\"], [\"what toiletries did I buy online on 2017/04/05?\", \"mouthwash, body lotion, shaving cream\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11132\", \"logical_representation\": [\"2017/04/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11133\", \"logical_representation\": [\"2017/04/05\", \"lunch\", \"indian food\", \"Avery, Willow\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/04/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11134\", \"logical_representation\": [\"2017/04/05\", \"dinner\", \"sushi\", \"Rylee, Piper, Kinsley, Lydia, Nora, Nevaeh, Eva, Claire, Hazel, Layla, Avery\"], \"text_template_based\": \"I had dinner with Rylee, Piper, Kinsley, Lydia, Nora, Nevaeh, Eva, Claire, Hazel, Layla, Avery. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/04/05?\", \"Rylee, Piper, Kinsley, Lydia, Nora, Nevaeh, Eva, Claire, Hazel, Layla, Avery\"], [\"what did I eat for dinner on 2017/04/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11135\", \"logical_representation\": [\"2017/04/05\", \"Rylee, Layla, Nora, Piper\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Rylee, Layla, Nora, Piper for 12 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla, Nora, Piper in the early afternoon on 2017/04/05?\", \"12 minutes\"], [\"who did I talk to on 2017/04/05?\", \"Rylee, Layla, Nora, Piper\"], [\"Did I talk to Rylee, Layla, Nora, Piper on 2017/04/05?\", \"yes\"], [\"Did I talk to anyone on 2017/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11136\", \"logical_representation\": [\"2017/04/05\", \"Avery, Hazel\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Avery, Hazel for 29 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel in the late afternoon on 2017/04/05?\", \"29 minutes\"], [\"who did I talk to on 2017/04/05?\", \"Avery, Hazel\"], [\"Did I talk to Avery, Hazel on 2017/04/05?\", \"yes\"], [\"Did I talk to anyone on 2017/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11137\", \"logical_representation\": [\"2017/04/05\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/04/05?\", \"55 minutes\"], [\"what did I read on 2017/04/05?\", \"social media\"], [\"Did I read on 2017/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11138\", \"logical_representation\": [\"2017/04/05\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/05?\", \"47 minutes\"], [\"what did I watch on tv on 2017/04/05?\", \"news\"], [\"Did I watch tv on 2017/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/14\": {\"hobbies\": {\"eid\": \"e10699\", \"logical_representation\": [\"2017/04/14\", \"I really enjoyed learning a language on 2017/04/14\", \"learning a language\", \"Avery, Benjamin\"], \"text_template_based\": \"I really enjoyed learning a language on 2017/04/14\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2017/04/14\"], [\"On 2017/04/14, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11166\", \"logical_representation\": [\"2017/04/14\", \"breakfast\", \"pancakes\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/04/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11167\", \"logical_representation\": [\"2017/04/14\", \"lunch\", \"fish and chips\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had fish and chips for lunch with Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/04/14?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for lunch on 2017/04/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11168\", \"logical_representation\": [\"2017/04/14\", \"Eva, Lydia\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Eva, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia in the early evening on 2017/04/14?\", \"27 minutes\"], [\"who did I talk to on 2017/04/14?\", \"Eva, Lydia\"], [\"Did I talk to Eva, Lydia on 2017/04/14?\", \"yes\"], [\"Did I talk to anyone on 2017/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11169\", \"logical_representation\": [\"2017/04/14\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/04/14?\", \"22 minutes\"], [\"what did I read on 2017/04/14?\", \"social media\"], [\"Did I read on 2017/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11170\", \"logical_representation\": [\"2017/04/14\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/14?\", \"53 minutes\"], [\"what did I watch on tv on 2017/04/14?\", \"a documentary\"], [\"Did I watch tv on 2017/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/09\": {\"grocery\": {\"eid\": \"e10700\", \"logical_representation\": [\"2017/04/09\", \"I went grocery shopping with Avery, Jackson. I bought some pineapples, blueberries, watermelons, peaches, soda, and mouth wash, mouthwash, shampoo\", \"pineapples, blueberries, watermelons, peaches\", \"soda\", \"mouth wash, mouthwash, shampoo\", \"Avery, Jackson\"], \"text_template_based\": \"I went grocery shopping with Avery, Jackson. I bought some pineapples, blueberries, watermelons, peaches, soda, and mouth wash, mouthwash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/04/09?\", \"pineapples, blueberries, watermelons, peaches, soda, and mouth wash, mouthwash, shampoo\"], [\"what fruits did I buy from the grocery store on 2017/04/09?\", \"pineapples, blueberries, watermelons, peaches\"], [\"what drinks did I buy from the grocery store on 2017/04/09?\", \"soda\"], [\"what toiletries did I buy from the grocery store on 2017/04/09?\", \"mouth wash, mouthwash, shampoo\"], [\"who was with me at the grocery store on 2017/04/09?\", \"Avery, Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11149\", \"logical_representation\": [\"2017/04/09\", \"breakfast\", \"oatmeal\", \"Kinsley, Avery, Piper, Olivia, Eva, Hazel, Nevaeh, Piper, Nora, Lydia, Claire\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/04/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2017/04/22\": {\"dating\": {\"eid\": \"e10701\", \"logical_representation\": [\"2017/04/22\", \"Hudson\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Hudson on 2017/04/22 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/04/22\", \"Hudson\"], [\"where did I go for the date on 2017/04/22\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11195\", \"logical_representation\": [\"2017/04/22\", \"running\"], \"text_template_based\": \"I did running on 2017/04/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11196\", \"logical_representation\": [\"2017/04/22\", \"lunch\", \"steak\", \"Willow\"], \"text_template_based\": \"I had steak for lunch with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/04/22?\", \"Willow\"], [\"what did I eat for lunch on 2017/04/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11197\", \"logical_representation\": [\"2017/04/22\", \"dinner\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I had fish and chips for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/04/22?\", \"Andrew\"], [\"what did I eat for dinner on 2017/04/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11198\", \"logical_representation\": [\"2017/04/22\", \"Eva, Rylee, Lydia\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Eva, Rylee, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Lydia during lunch hours on 2017/04/22?\", \"20 minutes\"], [\"who did I talk to on 2017/04/22?\", \"Eva, Rylee, Lydia\"], [\"Did I talk to Eva, Rylee, Lydia on 2017/04/22?\", \"yes\"], [\"Did I talk to anyone on 2017/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11199\", \"logical_representation\": [\"2017/04/22\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/04/22?\", \"41 minutes\"], [\"what did I read on 2017/04/22?\", \"news\"], [\"Did I read on 2017/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11200\", \"logical_representation\": [\"2017/04/22\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/22?\", \"33 minutes\"], [\"what did I watch on tv on 2017/04/22?\", \"a movie\"], [\"Did I watch tv on 2017/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/17\": {\"hobbies\": {\"eid\": \"e10702\", \"logical_representation\": [\"2017/04/17\", \"I really enjoyed yoga on 2017/04/17\", \"yoga\", \"Nevaeh, Olivia, Claire\"], \"text_template_based\": \"I really enjoyed yoga on 2017/04/17\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2017/04/17\"], [\"On 2017/04/17, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10703\", \"logical_representation\": [\"2017/04/17\", \"I went grocery shopping. I bought some clementines, oranges, guava, mango juice, and body lotion, shampoo, paper towel, shaving cream\", \"clementines, oranges, guava\", \"mango juice\", \"body lotion, shampoo, paper towel, shaving cream\", \"Piper, Lydia, Hazel, Nevaeh, Avery, Rylee, Piper, Claire, Layla, Eva\"], \"text_template_based\": \"I went grocery shopping. I bought some clementines, oranges, guava, mango juice, and body lotion, shampoo, paper towel, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/04/17?\", \"clementines, oranges, guava, mango juice, and body lotion, shampoo, paper towel, shaving cream\"], [\"what fruits did I buy from the grocery store on 2017/04/17?\", \"clementines, oranges, guava\"], [\"what drinks did I buy from the grocery store on 2017/04/17?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2017/04/17?\", \"body lotion, shampoo, paper towel, shaving cream\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11178\", \"logical_representation\": [\"2017/04/17\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/04/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11179\", \"logical_representation\": [\"2017/04/17\", \"lunch\", \"tacos\", \"Avery, Claire, Kinsley, Nora, Nevaeh, Piper, Layla, Eva, Lydia\"], \"text_template_based\": \"I had lunch with Avery, Claire, Kinsley, Nora, Nevaeh, Piper, Layla, Eva, Lydia. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/04/17?\", \"Avery, Claire, Kinsley, Nora, Nevaeh, Piper, Layla, Eva, Lydia\"], [\"what did I eat for lunch on 2017/04/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11180\", \"logical_representation\": [\"2017/04/17\", \"dinner\", \"a burger\", \"Carter, Emily\"], \"text_template_based\": \"I had a burger for dinner with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/04/17?\", \"Carter, Emily\"], [\"what did I eat for dinner on 2017/04/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11181\", \"logical_representation\": [\"2017/04/17\", \"Nora, Lydia, Piper, Eva\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Nora, Lydia, Piper, Eva for 10 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Piper, Eva in the early evening on 2017/04/17?\", \"10 minutes\"], [\"who did I talk to on 2017/04/17?\", \"Nora, Lydia, Piper, Eva\"], [\"Did I talk to Nora, Lydia, Piper, Eva on 2017/04/17?\", \"yes\"], [\"Did I talk to anyone on 2017/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11182\", \"logical_representation\": [\"2017/04/17\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/04/17?\", \"41 minutes\"], [\"what did I read on 2017/04/17?\", \"news\"], [\"Did I read on 2017/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/26\": {\"dating\": {\"eid\": \"e10704\", \"logical_representation\": [\"2017/04/26\", \"Oliver\", \"a coffee Shop\"], \"text_template_based\": \"On 2017/04/26, I took Oliver on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/04/26\", \"Oliver\"], [\"where did I go for the date on 2017/04/26\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11209\", \"logical_representation\": [\"2017/04/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/04/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11210\", \"logical_representation\": [\"2017/04/26\", \"breakfast\", \"oatmeal\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/04/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11211\", \"logical_representation\": [\"2017/04/26\", \"lunch\", \"pasta\", \"Eva, Avery, Claire, Nora, Olivia, Piper, Rylee, Layla, Lydia, Piper, Kinsley\"], \"text_template_based\": \"I had lunch with Eva, Avery, Claire, Nora, Olivia, Piper, Rylee, Layla, Lydia, Piper, Kinsley. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/04/26?\", \"Eva, Avery, Claire, Nora, Olivia, Piper, Rylee, Layla, Lydia, Piper, Kinsley\"], [\"what did I eat for lunch on 2017/04/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11212\", \"logical_representation\": [\"2017/04/26\", \"Piper\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Piper for 47 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2017/04/26?\", \"47 minutes\"], [\"who did I talk to on 2017/04/26?\", \"Piper\"], [\"Did I talk to Piper on 2017/04/26?\", \"yes\"], [\"Did I talk to anyone on 2017/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11213\", \"logical_representation\": [\"2017/04/26\", \"a documentary\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/26?\", \"14 minutes\"], [\"what did I watch on tv on 2017/04/26?\", \"a documentary\"], [\"Did I watch tv on 2017/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/27\": {\"grocery\": {\"eid\": \"e10705\", \"logical_representation\": [\"2017/04/27\", \"I bought some clementines, nectarines, oranges, apple juice, guava juice, facial wash, mouth wash, shampoo, paper towel from the grocery store. I saw Benjamin, Willow at the grocery store.\", \"clementines, nectarines, oranges\", \"apple juice, guava juice\", \"facial wash, mouth wash, shampoo, paper towel\", \"Benjamin, Willow\"], \"text_template_based\": \"I bought some clementines, nectarines, oranges, apple juice, guava juice, facial wash, mouth wash, shampoo, paper towel from the grocery store. I saw Benjamin, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/04/27?\", \"clementines, nectarines, oranges, apple juice, guava juice, and facial wash, mouth wash, shampoo, paper towel\"], [\"what fruits did I buy from the grocery store on 2017/04/27?\", \"clementines, nectarines, oranges\"], [\"what drinks did I buy from the grocery store on 2017/04/27?\", \"apple juice, guava juice\"], [\"what toiletries did I buy from the grocery store on 2017/04/27?\", \"facial wash, mouth wash, shampoo, paper towel\"], [\"who did I see at the grocery store on 2017/04/27?\", \"Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11214\", \"logical_representation\": [\"2017/04/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/04/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11215\", \"logical_representation\": [\"2017/04/27\", \"lunch\", \"steak\", \"Avery, Willow\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/04/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11216\", \"logical_representation\": [\"2017/04/27\", \"Piper, Eva, Layla, Rylee\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Piper, Eva, Layla, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Layla, Rylee late in the evening on 2017/04/27?\", \"21 minutes\"], [\"who did I talk to on 2017/04/27?\", \"Piper, Eva, Layla, Rylee\"], [\"Did I talk to Piper, Eva, Layla, Rylee on 2017/04/27?\", \"yes\"], [\"Did I talk to anyone on 2017/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11217\", \"logical_representation\": [\"2017/04/27\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/04/27?\", \"34 minutes\"], [\"what did I read on 2017/04/27?\", \"social media\"], [\"Did I read on 2017/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/03\": {\"dating\": {\"eid\": \"e10706\", \"logical_representation\": [\"2017/05/03\", \"Athena\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Athena on 2017/05/03 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/05/03\", \"Athena\"], [\"where did I go for the date on 2017/05/03\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11238\", \"logical_representation\": [\"2017/05/03\", \"breakfast\", \"cereals\", \"Avery, Layla, Olivia, Lydia\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/05/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11239\", \"logical_representation\": [\"2017/05/03\", \"dinner\", \"a burger\", \"Nevaeh, Olivia, Kinsley, Piper, Hazel\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/05/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11240\", \"logical_representation\": [\"2017/05/03\", \"Claire, Hazel\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Claire, Hazel for 14 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel in the early evening on 2017/05/03?\", \"14 minutes\"], [\"who did I talk to on 2017/05/03?\", \"Claire, Hazel\"], [\"Did I talk to Claire, Hazel on 2017/05/03?\", \"yes\"], [\"Did I talk to anyone on 2017/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11241\", \"logical_representation\": [\"2017/05/03\", \"Hazel, Claire, Avery, Nevaeh\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Hazel, Claire, Avery, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Avery, Nevaeh in the late afternoon on 2017/05/03?\", \"42 minutes\"], [\"who did I talk to on 2017/05/03?\", \"Hazel, Claire, Avery, Nevaeh\"], [\"Did I talk to Hazel, Claire, Avery, Nevaeh on 2017/05/03?\", \"yes\"], [\"Did I talk to anyone on 2017/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11242\", \"logical_representation\": [\"2017/05/03\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/05/03?\", \"30 minutes\"], [\"what did I read on 2017/05/03?\", \"news\"], [\"Did I read on 2017/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/01\": {\"hobbies\": {\"eid\": \"e10707\", \"logical_representation\": [\"2017/05/01\", \"I spent some time gardening on 2017/05/01.\", \"gardening\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I spent some time gardening on 2017/05/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2017/05/01\"], [\"On 2017/05/01, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11232\", \"logical_representation\": [\"2017/05/01\", \"lunch\", \"tacos\", \"Kinsley, Avery, Nevaeh\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/01\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2017/05/05\": {\"grocery\": {\"eid\": \"e10708\", \"logical_representation\": [\"2017/05/05\", \"I went grocery shopping with Willow. I bought some mangos, oranges, watermelons, blueberries, apple juice, and mouthwash, facial wash, body lotion\", \"mangos, oranges, watermelons, blueberries\", \"apple juice\", \"mouthwash, facial wash, body lotion\", \"Willow\"], \"text_template_based\": \"I went grocery shopping with Willow. I bought some mangos, oranges, watermelons, blueberries, apple juice, and mouthwash, facial wash, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/05/05?\", \"mangos, oranges, watermelons, blueberries, apple juice, and mouthwash, facial wash, body lotion\"], [\"what fruits did I buy from the grocery store on 2017/05/05?\", \"mangos, oranges, watermelons, blueberries\"], [\"what drinks did I buy from the grocery store on 2017/05/05?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2017/05/05?\", \"mouthwash, facial wash, body lotion\"], [\"who was with me at the grocery store on 2017/05/05?\", \"Willow\"]], \"multihop_qa_pairs\": []}}, \"2017/05/07\": {\"dating\": {\"eid\": \"e10709\", \"logical_representation\": [\"2017/05/07\", \"Cameron\", \"a coffee Shop\"], \"text_template_based\": \"On 2017/05/07, I took Cameron on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/05/07\", \"Cameron\"], [\"where did I go for the date on 2017/05/07\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11251\", \"logical_representation\": [\"2017/05/07\", \"biking\"], \"text_template_based\": \"I did biking on 2017/05/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/05/07?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11252\", \"logical_representation\": [\"2017/05/07\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/05/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11253\", \"logical_representation\": [\"2017/05/07\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I spent 30 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\"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11261\", \"logical_representation\": [\"2017/05/10\", \"lunch\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11262\", \"logical_representation\": [\"2017/05/10\", \"dinner\", \"a burger\", \"Nora, Piper, Kinsley, Lydia, Layla, Avery, Olivia, Eva, Claire, Hazel, Piper, Nevaeh, Rylee\"], \"text_template_based\": \"I had a burger for dinner with Nora, Piper, Kinsley, Lydia, Layla, Avery, Olivia, Eva, Claire, Hazel, Piper, Nevaeh, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/05/10?\", \"Nora, Piper, Kinsley, Lydia, Layla, Avery, Olivia, Eva, Claire, Hazel, Piper, Nevaeh, Rylee\"], [\"what did I eat for dinner on 2017/05/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11263\", \"logical_representation\": [\"2017/05/10\", \"Piper\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2017/05/10?\", \"42 minutes\"], [\"who did I talk to on 2017/05/10?\", \"Piper\"], [\"Did I talk to Piper on 2017/05/10?\", \"yes\"], [\"Did I talk to anyone on 2017/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11264\", \"logical_representation\": [\"2017/05/10\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/10?\", \"54 minutes\"], [\"what did I watch on tv on 2017/05/10?\", \"news\"], [\"Did I watch tv on 2017/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/11\": {\"grocery\": {\"eid\": \"e10712\", \"logical_representation\": [\"2017/05/11\", \"I went grocery shopping. I bought some mandarins, pineapples, apple juice, milk, and toothpaste, paper towel, shaving cream\", \"mandarins, pineapples\", \"apple juice, milk\", \"toothpaste, paper towel, shaving cream\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, pineapples, apple juice, milk, and toothpaste, paper towel, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/05/11?\", \"mandarins, pineapples, apple juice, milk, and toothpaste, paper towel, shaving cream\"], [\"what fruits did I buy from the grocery store on 2017/05/11?\", \"mandarins, pineapples\"], [\"what drinks did I buy from the grocery store on 2017/05/11?\", \"apple juice, milk\"], [\"what toiletries did I buy from the grocery store on 2017/05/11?\", \"toothpaste, paper towel, shaving cream\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11265\", \"logical_representation\": [\"2017/05/11\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/05/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/05/11?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11266\", \"logical_representation\": [\"2017/05/11\", \"breakfast\", \"pancakes\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/05/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11267\", \"logical_representation\": [\"2017/05/11\", \"Nevaeh, Piper, Hazel, Claire\", \"late in the evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Hazel, Claire for 35 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Hazel, Claire late in the evening on 2017/05/11?\", \"35 minutes\"], [\"who did I talk to on 2017/05/11?\", \"Nevaeh, Piper, Hazel, Claire\"], [\"Did I talk to Nevaeh, Piper, Hazel, Claire on 2017/05/11?\", \"yes\"], [\"Did I talk to anyone on 2017/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11268\", \"logical_representation\": [\"2017/05/11\", \"a tv series\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/11?\", \"29 minutes\"], [\"what did I watch on tv on 2017/05/11?\", \"a tv series\"], [\"Did I watch tv on 2017/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/23\": {\"dating\": {\"eid\": \"e10713\", \"logical_representation\": [\"2017/05/23\", \"Michael\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Michael on 2017/05/23 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/05/23\", \"Michael\"], [\"where did I go for the date on 2017/05/23\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11304\", \"logical_representation\": [\"2017/05/23\", \"running\"], \"text_template_based\": \"I did running on 2017/05/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/05/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11305\", \"logical_representation\": [\"2017/05/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast with Benjamin, Jackson. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/05/23?\", \"Benjamin, Jackson\"], [\"what did I eat for breakfast on 2017/05/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11306\", \"logical_representation\": [\"2017/05/23\", \"lunch\", \"pasta\", \"Nora, Piper, Layla, Olivia, Rylee, Kinsley\"], \"text_template_based\": \"I had pasta for lunch with Nora, Piper, Layla, Olivia, Rylee, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/05/23?\", \"Nora, Piper, Layla, Olivia, Rylee, Kinsley\"], [\"what did I eat for lunch on 2017/05/23\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2017/05/27\": {\"grocery\": {\"eid\": \"e10714\", \"logical_representation\": [\"2017/05/27\", \"I went grocery shopping with Nora, Avery, Piper, Nevaeh, Claire, Rylee, Hazel, Lydia, Kinsley, Olivia. I bought some apricots, pineapples, strawberries, pineapple juice, mango juice, sports drinks, and facial wash, mouthwash, paper towel, toilet paper\", \"apricots, pineapples, strawberries\", \"pineapple juice, mango juice, sports drinks\", \"facial wash, mouthwash, paper towel, toilet paper\", \"Nora, Avery, Piper, Nevaeh, Claire, Rylee, Hazel, Lydia, Kinsley, Olivia\"], \"text_template_based\": \"I went grocery shopping with Nora, Avery, Piper, Nevaeh, Claire, Rylee, Hazel, Lydia, Kinsley, Olivia. I bought some apricots, pineapples, strawberries, pineapple juice, mango juice, sports drinks, and facial wash, mouthwash, paper towel, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/05/27?\", \"apricots, pineapples, strawberries, pineapple juice, mango juice, sports drinks, and facial wash, mouthwash, paper towel, toilet paper\"], [\"what fruits did I buy from the grocery store on 2017/05/27?\", \"apricots, pineapples, strawberries\"], [\"what drinks did I buy from the grocery store on 2017/05/27?\", \"pineapple juice, mango juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2017/05/27?\", \"facial wash, mouthwash, paper towel, toilet paper\"], [\"who was with me at the grocery store on 2017/05/27?\", \"Nora, Avery, Piper, Nevaeh, Claire, Rylee, Hazel, Lydia, Kinsley, Olivia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11313\", \"logical_representation\": [\"2017/05/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/05/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/05/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11314\", \"logical_representation\": [\"2017/05/27\", \"dinner\", \"sandwich\", \"Emily, Kayden\"], \"text_template_based\": \"I had sandwich for dinner with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/05/27?\", \"Emily, Kayden\"], [\"what did I eat for dinner on 2017/05/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11315\", \"logical_representation\": [\"2017/05/27\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/05/27?\", \"11 minutes\"], [\"what did I read on 2017/05/27?\", \"a book\"], [\"Did I read on 2017/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11316\", \"logical_representation\": [\"2017/05/27\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/27?\", \"41 minutes\"], [\"what did I watch on tv on 2017/05/27?\", \"a movie\"], [\"Did I watch tv on 2017/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/31\": {\"dating\": {\"eid\": \"e10715\", \"logical_representation\": [\"2017/05/31\", \"Piper\", \"a coffee Shop\"], \"text_template_based\": \"On 2017/05/31, I took Piper on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/05/31\", \"Piper\"], [\"where did I go for the date on 2017/05/31\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11332\", \"logical_representation\": [\"2017/05/31\", \"running\"], \"text_template_based\": \"I did running on 2017/05/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/05/31?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11333\", \"logical_representation\": [\"2017/05/31\", \"breakfast\", \"cereals\", \"Avery, Jackson\"], \"text_template_based\": \"I had breakfast with Avery, Jackson. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/05/31?\", \"Avery, Jackson\"], [\"what did I eat for breakfast on 2017/05/31\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11334\", \"logical_representation\": [\"2017/05/31\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/05/31?\", \"38 minutes\"], [\"what did I read on 2017/05/31?\", \"a book\"], [\"Did I read on 2017/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11335\", \"logical_representation\": [\"2017/05/31\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/31?\", \"9 minutes\"], [\"what did I watch on tv on 2017/05/31?\", \"a documentary\"], [\"Did I watch tv on 2017/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/03\": {\"grocery\": {\"eid\": \"e10716\", \"logical_representation\": [\"2017/06/03\", \"I went grocery shopping with Willow, Benjamin. I bought some pineapples, tea, coffee, and mouth wash, mouthwash\", \"pineapples\", \"tea, coffee\", \"mouth wash, mouthwash\", \"Willow, Benjamin\"], \"text_template_based\": \"I went grocery shopping with Willow, Benjamin. I bought some pineapples, tea, coffee, and mouth wash, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/06/03?\", \"pineapples, tea, coffee, and mouth wash, mouthwash\"], [\"what fruits did I buy from the grocery store on 2017/06/03?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2017/06/03?\", \"tea, coffee\"], [\"what toiletries did I buy from the grocery store on 2017/06/03?\", \"mouth wash, mouthwash\"], [\"who was with me at the grocery store on 2017/06/03?\", \"Willow, Benjamin\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11343\", \"logical_representation\": [\"2017/06/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/06/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11344\", \"logical_representation\": [\"2017/06/03\", \"lunch\", \"sushi\", \"Lydia\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/06/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11345\", \"logical_representation\": [\"2017/06/03\", \"dinner\", \"tacos\", \"Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/06/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11346\", \"logical_representation\": [\"2017/06/03\", \"Piper, Layla, Nevaeh, Kinsley\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Nevaeh, Kinsley for 41 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Nevaeh, Kinsley in the early afternoon on 2017/06/03?\", \"41 minutes\"], [\"who did I talk to on 2017/06/03?\", \"Piper, Layla, Nevaeh, Kinsley\"], [\"Did I talk to Piper, Layla, Nevaeh, Kinsley on 2017/06/03?\", \"yes\"], [\"Did I talk to anyone on 2017/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11347\", \"logical_representation\": [\"2017/06/03\", \"social media\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/06/03?\", \"5 minutes\"], [\"what did I read on 2017/06/03?\", \"social media\"], [\"Did I read on 2017/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11348\", \"logical_representation\": [\"2017/06/03\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/03?\", \"44 minutes\"], [\"what did I watch on tv on 2017/06/03?\", \"news\"], [\"Did I watch tv on 2017/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/05\": {\"dating\": {\"eid\": \"e10717\", \"logical_representation\": [\"2017/06/05\", \"Aubrey\", \"a boba shop\"], \"text_template_based\": \"On 2017/06/05, I took Aubrey on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/06/05\", \"Aubrey\"], [\"where did I go for the date on 2017/06/05\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11355\", \"logical_representation\": [\"2017/06/05\", \"lunch\", \"steak\", \"Benjamin, Avery\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/06/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11356\", \"logical_representation\": [\"2017/06/05\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/06/05?\", \"54 minutes\"], [\"what did I read on 2017/06/05?\", \"a book\"], [\"Did I read on 2017/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/07\": {\"dating\": {\"eid\": \"e10718\", \"logical_representation\": [\"2017/06/07\", \"Ariana\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Ariana on 2017/06/07 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/06/07\", \"Ariana\"], [\"where did I go for the date on 2017/06/07\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11358\", \"logical_representation\": [\"2017/06/07\", \"running\"], \"text_template_based\": \"I did running on 2017/06/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/07?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11359\", \"logical_representation\": [\"2017/06/07\", \"lunch\", \"chinese food\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/06/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11360\", \"logical_representation\": [\"2017/06/07\", \"dinner\", \"steak\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/06/07?\", \"Andrew\"], [\"what did I eat for dinner on 2017/06/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11361\", \"logical_representation\": [\"2017/06/07\", \"Claire, Kinsley\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Claire, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley in the early afternoon on 2017/06/07?\", \"9 minutes\"], [\"who did I talk to on 2017/06/07?\", \"Claire, Kinsley\"], [\"Did I talk to Claire, Kinsley on 2017/06/07?\", \"yes\"], [\"Did I talk to anyone on 2017/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11362\", \"logical_representation\": [\"2017/06/07\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/06/07?\", \"20 minutes\"], [\"what did I read on 2017/06/07?\", \"news\"], [\"Did I read on 2017/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/12\": {\"dating\": {\"eid\": \"e10719\", \"logical_representation\": [\"2017/06/12\", \"Ivy\", \"a park\"], \"text_template_based\": \"I went on a date with Ivy on 2017/06/12 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/06/12\", \"Ivy\"], [\"where did I go for the date on 2017/06/12\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10721\", \"logical_representation\": [\"2017/06/12\", \"I went grocery shopping. I bought some mangos, tea, and mouth wash\", \"mangos\", \"tea\", \"mouth wash\", \"Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, tea, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/06/12?\", \"mangos, tea, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2017/06/12?\", \"mangos\"], [\"what drinks did I buy from the grocery store on 2017/06/12?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2017/06/12?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11377\", \"logical_representation\": [\"2017/06/12\", \"lunch\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/06/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11378\", \"logical_representation\": [\"2017/06/12\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/06/12?\", \"36 minutes\"], [\"what did I read on 2017/06/12?\", \"social media\"], [\"Did I read on 2017/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/16\": {\"hobbies\": {\"eid\": \"e10720\", \"logical_representation\": [\"2017/06/16\", \"I spent time yoga on 2017/06/16 with Eva.\", \"yoga\", \"Eva\"], \"text_template_based\": \"I spent time yoga on 2017/06/16 with Eva.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Eva?\", \"2017/06/16\"], [\"On 2017/06/16, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2017/06/16?\", \"Eva\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11391\", \"logical_representation\": [\"2017/06/16\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/06/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11392\", \"logical_representation\": [\"2017/06/16\", \"lunch\", \"pasta\", \"Eva, Layla, Kinsley, Nora, Nevaeh, Piper, Avery\"], \"text_template_based\": \"I had pasta for lunch with Eva, Layla, Kinsley, Nora, Nevaeh, Piper, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/06/16?\", \"Eva, Layla, Kinsley, Nora, Nevaeh, Piper, Avery\"], [\"what did I eat for lunch on 2017/06/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11393\", \"logical_representation\": [\"2017/06/16\", \"Nevaeh, Rylee\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Nevaeh, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee in the late afternoon on 2017/06/16?\", \"37 minutes\"], [\"who did I talk to on 2017/06/16?\", \"Nevaeh, Rylee\"], [\"Did I talk to Nevaeh, Rylee on 2017/06/16?\", \"yes\"], [\"Did I talk to anyone on 2017/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/15\": {\"grocery\": {\"eid\": \"e10722\", \"logical_representation\": [\"2017/06/15\", \"I bought some mandarins, guava, clementines, tea, mouth wash from the grocery store. I saw Andrew at the grocery store.\", \"mandarins, guava, clementines\", \"tea\", \"mouth wash\", \"Andrew\"], \"text_template_based\": \"I bought some mandarins, guava, clementines, tea, mouth wash from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/06/15?\", \"mandarins, guava, clementines, tea, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2017/06/15?\", \"mandarins, guava, clementines\"], [\"what drinks did I buy from the grocery store on 2017/06/15?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2017/06/15?\", \"mouth wash\"], [\"who did I see at the grocery store on 2017/06/15?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11387\", \"logical_representation\": [\"2017/06/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/06/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11388\", \"logical_representation\": [\"2017/06/15\", \"lunch\", \"tacos\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/06/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11389\", \"logical_representation\": [\"2017/06/15\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/06/15?\", \"14 minutes\"], [\"what did I read on 2017/06/15?\", \"news\"], [\"Did I read on 2017/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11390\", \"logical_representation\": [\"2017/06/15\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/15?\", \"27 minutes\"], [\"what did I watch on tv on 2017/06/15?\", \"news\"], [\"Did I watch tv on 2017/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/24\": {\"grocery\": {\"eid\": \"e10723\", \"logical_representation\": [\"2017/06/24\", \"I went grocery shopping. I bought some mandarins, guava juice, and toothpaste, toothbrush\", \"mandarins\", \"guava juice\", \"toothpaste, toothbrush\", \"Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, guava juice, and toothpaste, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/06/24?\", \"mandarins, guava juice, and toothpaste, toothbrush\"], [\"what fruits did I buy from the grocery store on 2017/06/24?\", \"mandarins\"], [\"what drinks did I buy from the grocery store on 2017/06/24?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2017/06/24?\", \"toothpaste, toothbrush\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11419\", \"logical_representation\": [\"2017/06/24\", \"lunch\", \"sandwich\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/06/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11420\", \"logical_representation\": [\"2017/06/24\", \"Kinsley\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I talked to Kinsley for 9 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the morning on 2017/06/24?\", \"9 minutes\"], [\"who did I talk to on 2017/06/24?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2017/06/24?\", \"yes\"], [\"Did I talk to anyone on 2017/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11421\", \"logical_representation\": [\"2017/06/24\", \"news\", \"44 minutes\"], \"text_template_based\": \"I watched news for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/24?\", \"44 minutes\"], [\"what did I watch on tv on 2017/06/24?\", \"news\"], [\"Did I watch tv on 2017/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/28\": {\"grocery\": {\"eid\": \"e10724\", \"logical_representation\": [\"2017/06/28\", \"I went grocery shopping. I bought some blackberries, milk, and toothbrush\", \"blackberries\", \"milk\", \"toothbrush\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some blackberries, milk, and toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/06/28?\", \"blackberries, milk, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2017/06/28?\", \"blackberries\"], [\"what drinks did I buy from the grocery store on 2017/06/28?\", \"milk\"], [\"what toiletries did I buy from the grocery store on 2017/06/28?\", \"toothbrush\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11433\", \"logical_representation\": [\"2017/06/28\", \"breakfast\", \"toast and cheese\", \"Eva\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/06/28\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11434\", \"logical_representation\": [\"2017/06/28\", \"lunch\", \"steak\", \"Lydia, Layla, Piper, Olivia, Eva\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/06/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11435\", \"logical_representation\": [\"2017/06/28\", \"dinner\", \"a burger\", \"Layla, Eva, Lydia, Nora, Kinsley, Piper, Avery\"], \"text_template_based\": \"I had dinner with Layla, Eva, Lydia, Nora, Kinsley, Piper, Avery. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/06/28?\", \"Layla, Eva, Lydia, Nora, Kinsley, Piper, Avery\"], [\"what did I eat for dinner on 2017/06/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11436\", \"logical_representation\": [\"2017/06/28\", \"Nora, Olivia\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia for 35 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia in the early evening on 2017/06/28?\", \"35 minutes\"], [\"who did I talk to on 2017/06/28?\", \"Nora, Olivia\"], [\"Did I talk to Nora, Olivia on 2017/06/28?\", \"yes\"], [\"Did I talk to anyone on 2017/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11437\", \"logical_representation\": [\"2017/06/28\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/06/28?\", \"51 minutes\"], [\"what did I read on 2017/06/28?\", \"social media\"], [\"Did I read on 2017/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11438\", \"logical_representation\": [\"2017/06/28\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/28?\", \"24 minutes\"], [\"what did I watch on tv on 2017/06/28?\", \"news\"], [\"Did I watch tv on 2017/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/04\": {\"dating\": {\"eid\": \"e10725\", \"logical_representation\": [\"2017/07/04\", \"Savannah\", \"a restaurant\"], \"text_template_based\": \"On 2017/07/04, I took Savannah on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/07/04\", \"Savannah\"], [\"where did I go for the date on 2017/07/04\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11460\", \"logical_representation\": [\"2017/07/04\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/07/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11461\", \"logical_representation\": [\"2017/07/04\", \"lunch\", \"tacos\", \"Kayden, Andrew\"], \"text_template_based\": \"I had tacos for lunch with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/07/04?\", \"Kayden, Andrew\"], [\"what did I eat for lunch on 2017/07/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11462\", \"logical_representation\": [\"2017/07/04\", \"dinner\", \"fish and chips\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/07/04?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2017/07/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11463\", \"logical_representation\": [\"2017/07/04\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/07/04?\", \"18 minutes\"], [\"what did I read on 2017/07/04?\", \"social media\"], [\"Did I read on 2017/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11464\", \"logical_representation\": [\"2017/07/04\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/04?\", \"22 minutes\"], [\"what did I watch on tv on 2017/07/04?\", \"news\"], [\"Did I watch tv on 2017/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/05\": {\"dating\": {\"eid\": \"e10726\", \"logical_representation\": [\"2017/07/05\", \"Ezekiel\", \"a restaurant\"], \"text_template_based\": \"On 2017/07/05, I took Ezekiel on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/07/05\", \"Ezekiel\"], [\"where did I go for the date on 2017/07/05\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10729\", \"logical_representation\": [\"2017/07/05\", \"I bought some bananas, oranges, apples, cherres, tea, coffee, mouthwash, body lotion, shampoo online.\", \"bananas, oranges, apples, cherres\", \"tea, coffee\", \"mouthwash, body lotion, shampoo\", \"Kayden\"], \"text_template_based\": \"I bought some bananas, oranges, apples, cherres, tea, coffee, mouthwash, body lotion, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/07/05?\", \"bananas, oranges, apples, cherres, tea, coffee, and mouthwash, body lotion, shampoo\"], [\"what fruits did I buy online on 2017/07/05?\", \"bananas, oranges, apples, cherres\"], [\"what drinks did I buy online on 2017/07/05?\", \"tea, coffee\"], [\"what toiletries did I buy online on 2017/07/05?\", \"mouthwash, body lotion, shampoo\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11465\", \"logical_representation\": [\"2017/07/05\", \"breakfast\", \"oatmeal\", \"Nora, Nevaeh, Lydia\"], \"text_template_based\": \"I had breakfast with Nora, Nevaeh, Lydia. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/07/05?\", \"Nora, Nevaeh, Lydia\"], [\"what did I eat for breakfast on 2017/07/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11466\", \"logical_representation\": [\"2017/07/05\", \"lunch\", \"pasta\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/07/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11467\", \"logical_representation\": [\"2017/07/05\", \"dinner\", \"sushi\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11468\", \"logical_representation\": [\"2017/07/05\", \"a movie\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/05?\", \"34 minutes\"], [\"what did I watch on tv on 2017/07/05?\", \"a movie\"], [\"Did I watch tv on 2017/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/02\": {\"hobbies\": {\"eid\": \"e10727\", \"logical_representation\": [\"2017/07/02\", \"I spent time meditation on 2017/07/02 with Andrew, Kayden, Emily.\", \"meditation\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I spent time meditation on 2017/07/02 with Andrew, Kayden, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Andrew, Kayden, Emily?\", \"2017/07/02\"], [\"On 2017/07/02, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2017/07/02?\", \"Andrew, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11450\", \"logical_representation\": [\"2017/07/02\", \"running\"], \"text_template_based\": \"I did running on 2017/07/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11451\", \"logical_representation\": [\"2017/07/02\", \"breakfast\", \"toast and cheese\", \"Nora, Layla, Hazel, Avery, Nevaeh, Piper\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/07/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11452\", \"logical_representation\": [\"2017/07/02\", \"lunch\", \"steak\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/07/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11453\", \"logical_representation\": [\"2017/07/02\", \"Piper, Olivia, Layla, Piper\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Piper, Olivia, Layla, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Layla, Piper in the early evening on 2017/07/02?\", \"16 minutes\"], [\"who did I talk to on 2017/07/02?\", \"Piper, Olivia, Layla, Piper\"], [\"Did I talk to Piper, Olivia, Layla, Piper on 2017/07/02?\", \"yes\"], [\"Did I talk to anyone on 2017/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11454\", \"logical_representation\": [\"2017/07/02\", \"Lydia, Olivia, Piper, Eva\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Lydia, Olivia, Piper, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Piper, Eva in the early afternoon on 2017/07/02?\", \"11 minutes\"], [\"who did I talk to on 2017/07/02?\", \"Lydia, Olivia, Piper, Eva\"], [\"Did I talk to Lydia, Olivia, Piper, Eva on 2017/07/02?\", \"yes\"], [\"Did I talk to anyone on 2017/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11455\", \"logical_representation\": [\"2017/07/02\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/07/02?\", \"14 minutes\"], [\"what did I read on 2017/07/02?\", \"news\"], [\"Did I read on 2017/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/03\": {\"grocery\": {\"eid\": \"e10728\", \"logical_representation\": [\"2017/07/03\", \"I went grocery shopping. I bought some nectarines, mangos, peaches, watermelons, sports drinks, chocolate milk, and mouthwash\", \"nectarines, mangos, peaches, watermelons\", \"sports drinks, chocolate milk\", \"mouthwash\", \"Layla, Claire, Eva, Piper, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some nectarines, mangos, peaches, watermelons, sports drinks, chocolate milk, and mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/07/03?\", \"nectarines, mangos, peaches, watermelons, sports drinks, chocolate milk, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2017/07/03?\", \"nectarines, mangos, peaches, watermelons\"], [\"what drinks did I buy from the grocery store on 2017/07/03?\", \"sports drinks, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2017/07/03?\", \"mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11456\", \"logical_representation\": [\"2017/07/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/07/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11457\", \"logical_representation\": [\"2017/07/03\", \"breakfast\", \"oatmeal\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/07/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11458\", \"logical_representation\": [\"2017/07/03\", \"lunch\", \"fish and chips\", \"Benjamin, Willow\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/07/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11459\", \"logical_representation\": [\"2017/07/03\", \"Piper, Layla\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Piper, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla in the early evening on 2017/07/03?\", \"37 minutes\"], [\"who did I talk to on 2017/07/03?\", \"Piper, Layla\"], [\"Did I talk to Piper, Layla on 2017/07/03?\", \"yes\"], [\"Did I talk to anyone on 2017/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/10\": {\"hobbies\": {\"eid\": \"e10730\", \"logical_representation\": [\"2017/07/10\", \"I really enjoyed working out on 2017/07/10\", \"working out\", \"Avery, Hazel, Nora\"], \"text_template_based\": \"I really enjoyed working out on 2017/07/10\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2017/07/10\"], [\"On 2017/07/10, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10731\", \"logical_representation\": [\"2017/07/10\", \"I bought some bananas, oranges, sports drinks, shaving cream, body lotion, toothpaste from the grocery store. I saw Hazel, Claire, Eva, Nora, Nevaeh, Avery, Rylee at the grocery store.\", \"bananas, oranges\", \"sports drinks\", \"shaving cream, body lotion, toothpaste\", \"Hazel, Claire, Eva, Nora, Nevaeh, Avery, Rylee\"], \"text_template_based\": \"I bought some bananas, oranges, sports drinks, shaving cream, body lotion, toothpaste from the grocery store. I saw Hazel, Claire, Eva, Nora, Nevaeh, Avery, Rylee at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/07/10?\", \"bananas, oranges, sports drinks, and shaving cream, body lotion, toothpaste\"], [\"what fruits did I buy from the grocery store on 2017/07/10?\", \"bananas, oranges\"], [\"what drinks did I buy from the grocery store on 2017/07/10?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2017/07/10?\", \"shaving cream, body lotion, toothpaste\"], [\"who did I see at the grocery store on 2017/07/10?\", \"Hazel, Claire, Eva, Nora, Nevaeh, Avery, Rylee\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11484\", \"logical_representation\": [\"2017/07/10\", \"breakfast\", \"toast and cheese\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/07/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11485\", \"logical_representation\": [\"2017/07/10\", \"lunch\", \"tacos\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/07/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11486\", \"logical_representation\": [\"2017/07/10\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11487\", \"logical_representation\": [\"2017/07/10\", \"Avery, Nevaeh, Piper\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Avery, Nevaeh, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Piper in the early evening on 2017/07/10?\", \"39 minutes\"], [\"who did I talk to on 2017/07/10?\", \"Avery, Nevaeh, Piper\"], [\"Did I talk to Avery, Nevaeh, Piper on 2017/07/10?\", \"yes\"], [\"Did I talk to anyone on 2017/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11488\", \"logical_representation\": [\"2017/07/10\", \"Hazel, Piper, Kinsley\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Kinsley for 48 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Kinsley in the early afternoon on 2017/07/10?\", \"48 minutes\"], [\"who did I talk to on 2017/07/10?\", \"Hazel, Piper, Kinsley\"], [\"Did I talk to Hazel, Piper, Kinsley on 2017/07/10?\", \"yes\"], [\"Did I talk to anyone on 2017/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/21\": {\"dating\": {\"eid\": \"e10732\", \"logical_representation\": [\"2017/07/21\", \"Kennedy\", \"a coffee Shop\"], \"text_template_based\": \"On 2017/07/21, I took Kennedy on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/07/21\", \"Kennedy\"], [\"where did I go for the date on 2017/07/21\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11530\", \"logical_representation\": [\"2017/07/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11531\", \"logical_representation\": [\"2017/07/21\", \"breakfast\", \"cereals\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/07/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11532\", \"logical_representation\": [\"2017/07/21\", \"lunch\", \"pasta\", \"Avery\"], \"text_template_based\": \"I had pasta for lunch with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/07/21?\", \"Avery\"], [\"what did I eat for lunch on 2017/07/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11533\", \"logical_representation\": [\"2017/07/21\", \"Lydia\", \"in the early evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2017/07/21?\", \"36 minutes\"], [\"who did I talk to on 2017/07/21?\", \"Lydia\"], [\"Did I talk to Lydia on 2017/07/21?\", \"yes\"], [\"Did I talk to anyone on 2017/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11534\", \"logical_representation\": [\"2017/07/21\", \"a documentary\", \"15 minutes\"], \"text_template_based\": \"I watched a documentary for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/21?\", \"15 minutes\"], [\"what did I watch on tv on 2017/07/21?\", \"a documentary\"], [\"Did I watch tv on 2017/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/23\": {\"dating\": {\"eid\": \"e10733\", \"logical_representation\": [\"2017/07/23\", \"Jeremiah\", \"a park\"], \"text_template_based\": \"On 2017/07/23, I took Jeremiah on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/07/23\", \"Jeremiah\"], [\"where did I go for the date on 2017/07/23\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11539\", \"logical_representation\": [\"2017/07/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Nora, Kinsley, Avery, Lydia, Claire, Piper, Olivia, Piper, Rylee, Layla, Hazel, Nevaeh\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/07/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11540\", \"logical_representation\": [\"2017/07/23\", \"Avery, Claire, Eva, Layla\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Avery, Claire, Eva, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire, Eva, Layla in the morning on 2017/07/23?\", \"37 minutes\"], [\"who did I talk to on 2017/07/23?\", \"Avery, Claire, Eva, Layla\"], [\"Did I talk to Avery, Claire, Eva, Layla on 2017/07/23?\", \"yes\"], [\"Did I talk to anyone on 2017/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/29\": {\"dating\": {\"eid\": \"e10734\", \"logical_representation\": [\"2017/07/29\", \"Aria\", \"a park\"], \"text_template_based\": \"On 2017/07/29, I took Aria on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/07/29\", \"Aria\"], [\"where did I go for the date on 2017/07/29\", \"a park\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11563\", \"logical_representation\": [\"2017/07/29\", \"Avery, Kinsley, Piper, Eva\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Avery, Kinsley, Piper, Eva for 38 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley, Piper, Eva in the early evening on 2017/07/29?\", \"38 minutes\"], [\"who did I talk to on 2017/07/29?\", \"Avery, Kinsley, Piper, Eva\"], [\"Did I talk to Avery, Kinsley, Piper, Eva on 2017/07/29?\", \"yes\"], [\"Did I talk to anyone on 2017/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11564\", \"logical_representation\": [\"2017/07/29\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/07/29?\", \"50 minutes\"], [\"what did I read on 2017/07/29?\", \"news\"], [\"Did I read on 2017/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11565\", \"logical_representation\": [\"2017/07/29\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/29?\", \"7 minutes\"], [\"what did I watch on tv on 2017/07/29?\", \"a documentary\"], [\"Did I watch tv on 2017/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/26\": {\"grocery\": {\"eid\": \"e10735\", \"logical_representation\": [\"2017/07/26\", \"I bought some nectarines, bananas, cherres, soda, chocolate milk, mouth wash, shampoo online.\", \"nectarines, bananas, cherres\", \"soda, chocolate milk\", \"mouth wash, shampoo\", \"Olivia, Nevaeh, Eva, Piper, Hazel, Kinsley, Nora, Claire, Rylee, Piper\"], \"text_template_based\": \"I bought some nectarines, bananas, cherres, soda, chocolate milk, mouth wash, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/07/26?\", \"nectarines, bananas, cherres, soda, chocolate milk, and mouth wash, shampoo\"], [\"what fruits did I buy online on 2017/07/26?\", \"nectarines, bananas, cherres\"], [\"what drinks did I buy online on 2017/07/26?\", \"soda, chocolate milk\"], [\"what toiletries did I buy online on 2017/07/26?\", \"mouth wash, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11549\", \"logical_representation\": [\"2017/07/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11550\", \"logical_representation\": [\"2017/07/26\", \"lunch\", \"steak\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/07/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11551\", \"logical_representation\": [\"2017/07/26\", \"Claire, Nora, Lydia, Avery\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Lydia, Avery for 29 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Lydia, Avery in the early evening on 2017/07/26?\", \"29 minutes\"], [\"who did I talk to on 2017/07/26?\", \"Claire, Nora, Lydia, Avery\"], [\"Did I talk to Claire, Nora, Lydia, Avery on 2017/07/26?\", \"yes\"], [\"Did I talk to anyone on 2017/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11552\", \"logical_representation\": [\"2017/07/26\", \"Hazel\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2017/07/26?\", \"17 minutes\"], [\"who did I talk to on 2017/07/26?\", \"Hazel\"], [\"Did I talk to Hazel on 2017/07/26?\", \"yes\"], [\"Did I talk to anyone on 2017/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11553\", \"logical_representation\": [\"2017/07/26\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/07/26?\", \"37 minutes\"], [\"what did I read on 2017/07/26?\", \"a book\"], [\"Did I read on 2017/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11554\", \"logical_representation\": [\"2017/07/26\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I watched a tv series for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/26?\", \"40 minutes\"], [\"what did I watch on tv on 2017/07/26?\", \"a tv series\"], [\"Did I watch tv on 2017/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/02\": {\"hobbies\": {\"eid\": \"e10736\", \"logical_representation\": [\"2017/08/02\", \"I spent time working out on 2017/08/02 with Avery, Layla, Piper.\", \"working out\", \"Avery, Layla, Piper\"], \"text_template_based\": \"I spent time working out on 2017/08/02 with Avery, Layla, Piper.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Avery, Layla, Piper?\", \"2017/08/02\"], [\"On 2017/08/02, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2017/08/02?\", \"Avery, Layla, Piper\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10737\", \"logical_representation\": [\"2017/08/02\", \"I went grocery shopping. I bought some apples, peaches, oranges, pears, guava juice, tea, and shampoo\", \"apples, peaches, oranges, pears\", \"guava juice, tea\", \"shampoo\", \"Carter, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, peaches, oranges, pears, guava juice, tea, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/08/02?\", \"apples, peaches, oranges, pears, guava juice, tea, and shampoo\"], [\"what fruits did I buy from the grocery store on 2017/08/02?\", \"apples, peaches, oranges, pears\"], [\"what drinks did I buy from the grocery store on 2017/08/02?\", \"guava juice, tea\"], [\"what toiletries did I buy from the grocery store on 2017/08/02?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11582\", \"logical_representation\": [\"2017/08/02\", \"Kinsley, Layla, Nevaeh\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla, Nevaeh for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Nevaeh in the early afternoon on 2017/08/02?\", \"7 minutes\"], [\"who did I talk to on 2017/08/02?\", \"Kinsley, Layla, Nevaeh\"], [\"Did I talk to Kinsley, Layla, Nevaeh on 2017/08/02?\", \"yes\"], [\"Did I talk to anyone on 2017/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11583\", \"logical_representation\": [\"2017/08/02\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/08/02?\", \"28 minutes\"], [\"what did I read on 2017/08/02?\", \"news\"], [\"Did I read on 2017/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/10\": {\"bake\": {\"eid\": \"e10738\", \"logical_representation\": [\"2017/08/10\", \"I was baking cream-filled bundt cake, blackberry jam pie-crust straws on 2017/08/10 with Lydia, Avery, Kinsley at my place\", \"bake\", \"cream-filled bundt cake, blackberry jam pie-crust straws\", \"Lydia, Avery, Kinsley\", \"my place\"], \"text_template_based\": \"I was baking cream-filled bundt cake, blackberry jam pie-crust straws on 2017/08/10 with Lydia, Avery, Kinsley at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  cream-filled bundt cake, blackberry jam pie-crust straws with Lydia, Avery, Kinsley?\", \"2017/08/10\"], [\"what did I  on 2017/08/10?\", \"cream-filled bundt cake, blackberry jam pie-crust straws\"], [\"who was I with when I  cream-filled bundt cake, blackberry jam pie-crust straws on 2017/08/10?\", \"Lydia, Avery, Kinsley\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11607\", \"logical_representation\": [\"2017/08/10\", \"running\"], \"text_template_based\": \"I did running on 2017/08/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/10?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11608\", \"logical_representation\": [\"2017/08/10\", \"dinner\", \"tacos\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had tacos for dinner with Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/08/10?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2017/08/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11609\", \"logical_representation\": [\"2017/08/10\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/08/10?\", \"29 minutes\"], [\"what did I read on 2017/08/10?\", \"a book\"], [\"Did I read on 2017/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11610\", \"logical_representation\": [\"2017/08/10\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/10?\", \"50 minutes\"], [\"what did I watch on tv on 2017/08/10?\", \"a movie\"], [\"Did I watch tv on 2017/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/09\": {\"grocery\": {\"eid\": \"e10739\", \"logical_representation\": [\"2017/08/09\", \"I went grocery shopping. I bought some raspberries, sports drinks, mango juice, and body lotion, shaving cream, mouthwash\", \"raspberries\", \"sports drinks, mango juice\", \"body lotion, shaving cream, mouthwash\", \"Piper, Piper, Lydia, Avery, Hazel, Nora, Nevaeh, Claire, Olivia, Eva, Kinsley, Layla, Rylee\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, sports drinks, mango juice, and body lotion, shaving cream, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/08/09?\", \"raspberries, sports drinks, mango juice, and body lotion, shaving cream, mouthwash\"], [\"what fruits did I buy from the grocery store on 2017/08/09?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2017/08/09?\", \"sports drinks, mango juice\"], [\"what toiletries did I buy from the grocery store on 2017/08/09?\", \"body lotion, shaving cream, mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11601\", \"logical_representation\": [\"2017/08/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/08/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11602\", \"logical_representation\": [\"2017/08/09\", \"lunch\", \"chinese food\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/08/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11603\", \"logical_representation\": [\"2017/08/09\", \"Avery, Nora\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Avery, Nora for 26 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora in the early evening on 2017/08/09?\", \"26 minutes\"], [\"who did I talk to on 2017/08/09?\", \"Avery, Nora\"], [\"Did I talk to Avery, Nora on 2017/08/09?\", \"yes\"], [\"Did I talk to anyone on 2017/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11604\", \"logical_representation\": [\"2017/08/09\", \"Avery, Piper, Rylee, Kinsley\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Avery, Piper, Rylee, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Rylee, Kinsley during lunch hours on 2017/08/09?\", \"6 minutes\"], [\"who did I talk to on 2017/08/09?\", \"Avery, Piper, Rylee, Kinsley\"], [\"Did I talk to Avery, Piper, Rylee, Kinsley on 2017/08/09?\", \"yes\"], [\"Did I talk to anyone on 2017/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11605\", \"logical_representation\": [\"2017/08/09\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/08/09?\", \"34 minutes\"], [\"what did I read on 2017/08/09?\", \"social media\"], [\"Did I read on 2017/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11606\", \"logical_representation\": [\"2017/08/09\", \"a documentary\", \"6 minutes\"], \"text_template_based\": \"I watched a documentary for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/09?\", \"6 minutes\"], [\"what did I watch on tv on 2017/08/09?\", \"a documentary\"], [\"Did I watch tv on 2017/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/16\": {\"hobbies\": {\"eid\": \"e10740\", \"logical_representation\": [\"2017/08/16\", \"I really enjoyed working out on 2017/08/16\", \"working out\", \"Andrew, Kayden\"], \"text_template_based\": \"I really enjoyed working out on 2017/08/16\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2017/08/16\"], [\"On 2017/08/16, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11636\", \"logical_representation\": [\"2017/08/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11637\", \"logical_representation\": [\"2017/08/16\", \"Nora, Piper\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Nora, Piper for 8 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the early afternoon on 2017/08/16?\", \"8 minutes\"], [\"who did I talk to on 2017/08/16?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2017/08/16?\", \"yes\"], [\"Did I talk to anyone on 2017/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11638\", \"logical_representation\": [\"2017/08/16\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/08/16?\", \"7 minutes\"], [\"what did I read on 2017/08/16?\", \"news\"], [\"Did I read on 2017/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/14\": {\"grocery\": {\"eid\": \"e10741\", \"logical_representation\": [\"2017/08/14\", \"I bought some strawberries, chocolate milk, orange juice, mango juice, sports drinks, mouth wash, toothpaste, shaving cream from the grocery store. I saw Emily at the grocery store.\", \"strawberries\", \"chocolate milk, orange juice, mango juice, sports drinks\", \"mouth wash, toothpaste, shaving cream\", \"Emily\"], \"text_template_based\": \"I bought some strawberries, chocolate milk, orange juice, mango juice, sports drinks, mouth wash, toothpaste, shaving cream from the grocery store. I saw Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/08/14?\", \"strawberries, chocolate milk, orange juice, mango juice, sports drinks, and mouth wash, toothpaste, shaving cream\"], [\"what fruits did I buy from the grocery store on 2017/08/14?\", \"strawberries\"], [\"what drinks did I buy from the grocery store on 2017/08/14?\", \"chocolate milk, orange juice, mango juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2017/08/14?\", \"mouth wash, toothpaste, shaving cream\"], [\"who did I see at the grocery store on 2017/08/14?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11626\", \"logical_representation\": [\"2017/08/14\", \"biking\"], \"text_template_based\": \"I did biking on 2017/08/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11627\", \"logical_representation\": [\"2017/08/14\", \"breakfast\", \"oatmeal\", \"Piper, Olivia, Claire, Kinsley, Avery, Eva, Hazel, Piper, Layla, Nevaeh, Lydia, Nora\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11628\", \"logical_representation\": [\"2017/08/14\", \"dinner\", \"fish and chips\", \"Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11629\", \"logical_representation\": [\"2017/08/14\", \"Kinsley, Nora\", \"in the morning\", \"25 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora for 25 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora in the morning on 2017/08/14?\", \"25 minutes\"], [\"who did I talk to on 2017/08/14?\", \"Kinsley, Nora\"], [\"Did I talk to Kinsley, Nora on 2017/08/14?\", \"yes\"], [\"Did I talk to anyone on 2017/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/19\": {\"grocery\": {\"eid\": \"e10742\", \"logical_representation\": [\"2017/08/19\", \"I went grocery shopping. I bought some nectarines, sports drinks, chocolate milk, apple juice, mango juice, and mouth wash\", \"nectarines\", \"sports drinks, chocolate milk, apple juice, mango juice\", \"mouth wash\", \"Rylee, Claire, Lydia, Avery, Olivia\"], \"text_template_based\": \"I went grocery shopping. I bought some nectarines, sports drinks, chocolate milk, apple juice, mango juice, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/08/19?\", \"nectarines, sports drinks, chocolate milk, apple juice, mango juice, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2017/08/19?\", \"nectarines\"], [\"what drinks did I buy from the grocery store on 2017/08/19?\", \"sports drinks, chocolate milk, apple juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2017/08/19?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11645\", \"logical_representation\": [\"2017/08/19\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11646\", \"logical_representation\": [\"2017/08/19\", \"lunch\", \"a burger\", \"Lydia, Nevaeh, Nora, Hazel, Claire, Olivia\"], \"text_template_based\": \"I had lunch with Lydia, Nevaeh, Nora, Hazel, Claire, Olivia. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/08/19?\", \"Lydia, Nevaeh, Nora, Hazel, Claire, Olivia\"], [\"what did I eat for lunch on 2017/08/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11647\", \"logical_representation\": [\"2017/08/19\", \"dinner\", \"a burger\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had a burger for dinner with Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/08/19?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2017/08/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11648\", \"logical_representation\": [\"2017/08/19\", \"Kinsley, Piper, Rylee, Claire\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Rylee, Claire for 46 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Rylee, Claire during lunch hours on 2017/08/19?\", \"46 minutes\"], [\"who did I talk to on 2017/08/19?\", \"Kinsley, Piper, Rylee, Claire\"], [\"Did I talk to Kinsley, Piper, Rylee, Claire on 2017/08/19?\", \"yes\"], [\"Did I talk to anyone on 2017/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/24\": {\"dating\": {\"eid\": \"e10743\", \"logical_representation\": [\"2017/08/24\", \"Parker\", \"a boba shop\"], \"text_template_based\": \"On 2017/08/24, I took Parker on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/08/24\", \"Parker\"], [\"where did I go for the date on 2017/08/24\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11667\", \"logical_representation\": [\"2017/08/24\", \"breakfast\", \"pancakes\", \"Olivia, Lydia, Hazel\"], \"text_template_based\": \"I had breakfast with Olivia, Lydia, Hazel. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/08/24?\", \"Olivia, Lydia, Hazel\"], [\"what did I eat for breakfast on 2017/08/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11668\", \"logical_representation\": [\"2017/08/24\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/24\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11669\", \"logical_representation\": [\"2017/08/24\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/08/24?\", \"7 minutes\"], [\"what did I read on 2017/08/24?\", \"news\"], [\"Did I read on 2017/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/20\": {\"grocery\": {\"eid\": \"e10744\", \"logical_representation\": [\"2017/08/20\", \"I bought some apricots, strawberries, mandarins, raspberries, milk, shampoo, paper towel, body lotion online.\", \"apricots, strawberries, mandarins, raspberries\", \"milk\", \"shampoo, paper towel, body lotion\", \"Lydia\"], \"text_template_based\": \"I bought some apricots, strawberries, mandarins, raspberries, milk, shampoo, paper towel, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/08/20?\", \"apricots, strawberries, mandarins, raspberries, milk, and shampoo, paper towel, body lotion\"], [\"what fruits did I buy online on 2017/08/20?\", \"apricots, strawberries, mandarins, raspberries\"], [\"what drinks did I buy online on 2017/08/20?\", \"milk\"], [\"what toiletries did I buy online on 2017/08/20?\", \"shampoo, paper towel, body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11649\", \"logical_representation\": [\"2017/08/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/08/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11650\", \"logical_representation\": [\"2017/08/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Kinsley, Nevaeh, Lydia, Nora, Claire, Olivia, Rylee\"], \"text_template_based\": \"I had breakfast with Kinsley, Nevaeh, Lydia, Nora, Claire, Olivia, Rylee. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/08/20?\", \"Kinsley, Nevaeh, Lydia, Nora, Claire, Olivia, Rylee\"], [\"what did I eat for breakfast on 2017/08/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11651\", \"logical_representation\": [\"2017/08/20\", \"dinner\", \"fish and chips\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11652\", \"logical_representation\": [\"2017/08/20\", \"Kinsley, Piper, Claire\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Kinsley, Piper, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Claire during lunch hours on 2017/08/20?\", \"25 minutes\"], [\"who did I talk to on 2017/08/20?\", \"Kinsley, Piper, Claire\"], [\"Did I talk to Kinsley, Piper, Claire on 2017/08/20?\", \"yes\"], [\"Did I talk to anyone on 2017/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/25\": {\"grocery\": {\"eid\": \"e10745\", \"logical_representation\": [\"2017/08/25\", \"I went grocery shopping. I bought some pears, bananas, orange juice, and paper towel, conditioner, mouth wash\", \"pears, bananas\", \"orange juice\", \"paper towel, conditioner, mouth wash\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some pears, bananas, orange juice, and paper towel, conditioner, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/08/25?\", \"pears, bananas, orange juice, and paper towel, conditioner, mouth wash\"], [\"what fruits did I buy from the grocery store on 2017/08/25?\", \"pears, bananas\"], [\"what drinks did I buy from the grocery store on 2017/08/25?\", \"orange juice\"], [\"what toiletries did I buy from the grocery store on 2017/08/25?\", \"paper towel, conditioner, mouth wash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11670\", \"logical_representation\": [\"2017/08/25\", \"lunch\", \"steak\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/08/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11671\", \"logical_representation\": [\"2017/08/25\", \"dinner\", \"a burger\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11672\", \"logical_representation\": [\"2017/08/25\", \"Layla\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Layla for 26 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2017/08/25?\", \"26 minutes\"], [\"who did I talk to on 2017/08/25?\", \"Layla\"], [\"Did I talk to Layla on 2017/08/25?\", \"yes\"], [\"Did I talk to anyone on 2017/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11673\", \"logical_representation\": [\"2017/08/25\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/08/25?\", \"15 minutes\"], [\"what did I read on 2017/08/25?\", \"a book\"], [\"Did I read on 2017/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11674\", \"logical_representation\": [\"2017/08/25\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/25?\", \"17 minutes\"], [\"what did I watch on tv on 2017/08/25?\", \"a documentary\"], [\"Did I watch tv on 2017/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/31\": {\"grocery\": {\"eid\": \"e10746\", \"logical_representation\": [\"2017/08/31\", \"I bought some oranges, watermelons, milk, mouth wash online.\", \"oranges, watermelons\", \"milk\", \"mouth wash\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I bought some oranges, watermelons, milk, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/08/31?\", \"oranges, watermelons, milk, and mouth wash\"], [\"what fruits did I buy online on 2017/08/31?\", \"oranges, watermelons\"], [\"what drinks did I buy online on 2017/08/31?\", \"milk\"], [\"what toiletries did I buy online on 2017/08/31?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11698\", \"logical_representation\": [\"2017/08/31\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Piper, Nora, Rylee, Eva, Nevaeh, Avery, Claire\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Hazel, Piper, Nora, Rylee, Eva, Nevaeh, Avery, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/08/31?\", \"Hazel, Piper, Nora, Rylee, Eva, Nevaeh, Avery, Claire\"], [\"what did I eat for breakfast on 2017/08/31\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11699\", \"logical_representation\": [\"2017/08/31\", \"dinner\", \"sandwich\", \"Kinsley, Layla, Claire, Olivia, Hazel, Rylee, Piper, Lydia, Eva, Nevaeh, Nora, Avery\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11700\", \"logical_representation\": [\"2017/08/31\", \"Piper\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Piper for 48 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2017/08/31?\", \"48 minutes\"], [\"who did I talk to on 2017/08/31?\", \"Piper\"], [\"Did I talk to Piper on 2017/08/31?\", \"yes\"], [\"Did I talk to anyone on 2017/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11701\", \"logical_representation\": [\"2017/08/31\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I watched a tv series for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/31?\", \"8 minutes\"], [\"what did I watch on tv on 2017/08/31?\", \"a tv series\"], [\"Did I watch tv on 2017/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/05\": {\"dating\": {\"eid\": \"e10747\", \"logical_representation\": [\"2017/09/05\", \"Brooklyn\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Brooklyn on 2017/09/05 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/09/05\", \"Brooklyn\"], [\"where did I go for the date on 2017/09/05\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11715\", \"logical_representation\": [\"2017/09/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/09/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11716\", \"logical_representation\": [\"2017/09/05\", \"dinner\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/09/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11717\", \"logical_representation\": [\"2017/09/05\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/09/05?\", \"54 minutes\"], [\"what did I read on 2017/09/05?\", \"a book\"], [\"Did I read on 2017/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/08\": {\"grocery\": {\"eid\": \"e10748\", \"logical_representation\": [\"2017/09/08\", \"I went grocery shopping. I bought some guava, watermelons, mango juice, guava juice, chocolate milk, apple juice, and toothpaste, paper towel\", \"guava, watermelons\", \"mango juice, guava juice, chocolate milk, apple juice\", \"toothpaste, paper towel\", \"Avery, Claire\"], \"text_template_based\": \"I went grocery shopping. I bought some guava, watermelons, mango juice, guava juice, chocolate milk, apple juice, and toothpaste, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/09/08?\", \"guava, watermelons, mango juice, guava juice, chocolate milk, apple juice, and toothpaste, paper towel\"], [\"what fruits did I buy from the grocery store on 2017/09/08?\", \"guava, watermelons\"], [\"what drinks did I buy from the grocery store on 2017/09/08?\", \"mango juice, guava juice, chocolate milk, apple juice\"], [\"what toiletries did I buy from the grocery store on 2017/09/08?\", \"toothpaste, paper towel\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11725\", \"logical_representation\": [\"2017/09/08\", \"lunch\", \"chinese food\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11726\", \"logical_representation\": [\"2017/09/08\", \"Lydia\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2017/09/08?\", \"40 minutes\"], [\"who did I talk to on 2017/09/08?\", \"Lydia\"], [\"Did I talk to Lydia on 2017/09/08?\", \"yes\"], [\"Did I talk to anyone on 2017/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11727\", \"logical_representation\": [\"2017/09/08\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/09/08?\", \"10 minutes\"], [\"what did I read on 2017/09/08?\", \"a book\"], [\"Did I read on 2017/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/11\": {\"grocery\": {\"eid\": \"e10749\", \"logical_representation\": [\"2017/09/11\", \"I bought some raspberries, guava, pineapples, watermelons, soda, guava juice, orange juice, paper towel, mouthwash, toothpaste, body lotion online.\", \"raspberries, guava, pineapples, watermelons\", \"soda, guava juice, orange juice\", \"paper towel, mouthwash, toothpaste, body lotion\", \"Benjamin\"], \"text_template_based\": \"I bought some raspberries, guava, pineapples, watermelons, soda, guava juice, orange juice, paper towel, mouthwash, toothpaste, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/09/11?\", \"raspberries, guava, pineapples, watermelons, soda, guava juice, orange juice, and paper towel, mouthwash, toothpaste, body lotion\"], [\"what fruits did I buy online on 2017/09/11?\", \"raspberries, guava, pineapples, watermelons\"], [\"what drinks did I buy online on 2017/09/11?\", \"soda, guava juice, orange juice\"], [\"what toiletries did I buy online on 2017/09/11?\", \"paper towel, mouthwash, toothpaste, body lotion\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11740\", \"logical_representation\": [\"2017/09/11\", \"breakfast\", \"oatmeal\", \"Jackson\"], \"text_template_based\": \"I had breakfast with Jackson. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/11?\", \"Jackson\"], [\"what did I eat for breakfast on 2017/09/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11741\", \"logical_representation\": [\"2017/09/11\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/09/11?\", \"24 minutes\"], [\"what did I read on 2017/09/11?\", \"a book\"], [\"Did I read on 2017/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11742\", \"logical_representation\": [\"2017/09/11\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/11?\", \"45 minutes\"], [\"what did I watch on tv on 2017/09/11?\", \"news\"], [\"Did I watch tv on 2017/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/13\": {\"grocery\": {\"eid\": \"e10750\", \"logical_representation\": [\"2017/09/13\", \"I bought some nectarines, soda, sports drinks, guava juice, toilet paper, facial wash, mouth wash, toothpaste from the grocery store. I saw Jackson, Benjamin, Willow, Avery at the grocery store.\", \"nectarines\", \"soda, sports drinks, guava juice\", \"toilet paper, facial wash, mouth wash, toothpaste\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I bought some nectarines, soda, sports drinks, guava juice, toilet paper, facial wash, mouth wash, toothpaste from the grocery store. I saw Jackson, Benjamin, Willow, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/09/13?\", \"nectarines, soda, sports drinks, guava juice, and toilet paper, facial wash, mouth wash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2017/09/13?\", \"nectarines\"], [\"what drinks did I buy from the grocery store on 2017/09/13?\", \"soda, sports drinks, guava juice\"], [\"what toiletries did I buy from the grocery store on 2017/09/13?\", \"toilet paper, facial wash, mouth wash, toothpaste\"], [\"who did I see at the grocery store on 2017/09/13?\", \"Jackson, Benjamin, Willow, Avery\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11746\", \"logical_representation\": [\"2017/09/13\", \"lunch\", \"sandwich\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11747\", \"logical_representation\": [\"2017/09/13\", \"news\", \"46 minutes\"], \"text_template_based\": \"I watched news for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/13?\", \"46 minutes\"], [\"what did I watch on tv on 2017/09/13?\", \"news\"], [\"Did I watch tv on 2017/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/30\": {\"hobbies\": {\"eid\": \"e10751\", \"logical_representation\": [\"2017/09/30\", \"I spent time working out on 2017/09/30 with Rylee, Hazel, Layla.\", \"working out\", \"Rylee, Hazel, Layla\"], \"text_template_based\": \"I spent time working out on 2017/09/30 with Rylee, Hazel, Layla.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Rylee, Hazel, Layla?\", \"2017/09/30\"], [\"On 2017/09/30, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2017/09/30?\", \"Rylee, Hazel, Layla\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11814\", \"logical_representation\": [\"2017/09/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/09/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11815\", \"logical_representation\": [\"2017/09/30\", \"breakfast\", \"pancakes\", \"Kinsley, Rylee, Eva, Hazel, Nora, Avery, Piper\"], \"text_template_based\": \"I had pancakes for breakfast with Kinsley, Rylee, Eva, Hazel, Nora, Avery, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/30?\", \"Kinsley, Rylee, Eva, Hazel, Nora, Avery, Piper\"], [\"what did I eat for breakfast on 2017/09/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11816\", \"logical_representation\": [\"2017/09/30\", \"dinner\", \"tacos\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Carter, Kayden, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/09/30?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for dinner on 2017/09/30\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11817\", \"logical_representation\": [\"2017/09/30\", \"Hazel, Lydia\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Hazel, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia in the early evening on 2017/09/30?\", \"52 minutes\"], [\"who did I talk to on 2017/09/30?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2017/09/30?\", \"yes\"], [\"Did I talk to anyone on 2017/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11818\", \"logical_representation\": [\"2017/09/30\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/09/30?\", \"24 minutes\"], [\"what did I read on 2017/09/30?\", \"news\"], [\"Did I read on 2017/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/07\": {\"dating\": {\"eid\": \"e10752\", \"logical_representation\": [\"2017/10/07\", \"Eliana\", \"a restaurant\"], \"text_template_based\": \"On 2017/10/07, I took Eliana on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/10/07\", \"Eliana\"], [\"where did I go for the date on 2017/10/07\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10755\", \"logical_representation\": [\"2017/10/07\", \"I went grocery shopping. I bought some apricots, peaches, tea, apple juice, sports drinks, and conditioner\", \"apricots, peaches\", \"tea, apple juice, sports drinks\", \"conditioner\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, peaches, tea, apple juice, sports drinks, and conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/10/07?\", \"apricots, peaches, tea, apple juice, sports drinks, and conditioner\"], [\"what fruits did I buy from the grocery store on 2017/10/07?\", \"apricots, peaches\"], [\"what drinks did I buy from the grocery store on 2017/10/07?\", \"tea, apple juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2017/10/07?\", \"conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11839\", \"logical_representation\": [\"2017/10/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee\"], \"text_template_based\": \"I had breakfast with Rylee. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/07?\", \"Rylee\"], [\"what did I eat for breakfast on 2017/10/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11840\", \"logical_representation\": [\"2017/10/07\", \"dinner\", \"a burger\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/10/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11841\", \"logical_representation\": [\"2017/10/07\", \"Nora\", \"in the late afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2017/10/07?\", \"21 minutes\"], [\"who did I talk to on 2017/10/07?\", \"Nora\"], [\"Did I talk to Nora on 2017/10/07?\", \"yes\"], [\"Did I talk to anyone on 2017/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/01\": {\"hobbies\": {\"eid\": \"e10753\", \"logical_representation\": [\"2017/10/01\", \"I spent time gardening on 2017/10/01 with Andrew, Carter.\", \"gardening\", \"Andrew, Carter\"], \"text_template_based\": \"I spent time gardening on 2017/10/01 with Andrew, Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Andrew, Carter?\", \"2017/10/01\"], [\"On 2017/10/01, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2017/10/01?\", \"Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10754\", \"logical_representation\": [\"2017/10/01\", \"I bought some watermelons, strawberries, chocolate milk, soda, mineral water, toothpaste, body lotion, mouthwash, paper towel from the grocery store. I saw Nevaeh at the grocery store.\", \"watermelons, strawberries\", \"chocolate milk, soda, mineral water\", \"toothpaste, body lotion, mouthwash, paper towel\", \"Nevaeh\"], \"text_template_based\": \"I bought some watermelons, strawberries, chocolate milk, soda, mineral water, toothpaste, body lotion, mouthwash, paper towel from the grocery store. I saw Nevaeh at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/10/01?\", \"watermelons, strawberries, chocolate milk, soda, mineral water, and toothpaste, body lotion, mouthwash, paper towel\"], [\"what fruits did I buy from the grocery store on 2017/10/01?\", \"watermelons, strawberries\"], [\"what drinks did I buy from the grocery store on 2017/10/01?\", \"chocolate milk, soda, mineral water\"], [\"what toiletries did I buy from the grocery store on 2017/10/01?\", \"toothpaste, body lotion, mouthwash, paper towel\"], [\"who did I see at the grocery store on 2017/10/01?\", \"Nevaeh\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11819\", \"logical_representation\": [\"2017/10/01\", \"Claire, Rylee, Avery\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Claire, Rylee, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Avery in the late afternoon on 2017/10/01?\", \"37 minutes\"], [\"who did I talk to on 2017/10/01?\", \"Claire, Rylee, Avery\"], [\"Did I talk to Claire, Rylee, Avery on 2017/10/01?\", \"yes\"], [\"Did I talk to anyone on 2017/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11820\", \"logical_representation\": [\"2017/10/01\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/01?\", \"27 minutes\"], [\"what did I watch on tv on 2017/10/01?\", \"a documentary\"], [\"Did I watch tv on 2017/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/17\": {\"dating\": {\"eid\": \"e10756\", \"logical_representation\": [\"2017/10/17\", \"Jace\", \"a boba shop\"], \"text_template_based\": \"On 2017/10/17, I took Jace on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/10/17\", \"Jace\"], [\"where did I go for the date on 2017/10/17\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10758\", \"logical_representation\": [\"2017/10/17\", \"I bought some cherres, mangos, watermelons, clementines, tea, orange juice, shaving cream from the grocery store. I saw Claire, Avery, Kinsley, Piper, Nora, Eva, Hazel, Rylee, Piper at the grocery store.\", \"cherres, mangos, watermelons, clementines\", \"tea, orange juice\", \"shaving cream\", \"Claire, Avery, Kinsley, Piper, Nora, Eva, Hazel, Rylee, Piper\"], \"text_template_based\": \"I bought some cherres, mangos, watermelons, clementines, tea, orange juice, shaving cream from the grocery store. I saw Claire, Avery, Kinsley, Piper, Nora, Eva, Hazel, Rylee, Piper at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/10/17?\", \"cherres, mangos, watermelons, clementines, tea, orange juice, and shaving cream\"], [\"what fruits did I buy from the grocery store on 2017/10/17?\", \"cherres, mangos, watermelons, clementines\"], [\"what drinks did I buy from the grocery store on 2017/10/17?\", \"tea, orange juice\"], [\"what toiletries did I buy from the grocery store on 2017/10/17?\", \"shaving cream\"], [\"who did I see at the grocery store on 2017/10/17?\", \"Claire, Avery, Kinsley, Piper, Nora, Eva, Hazel, Rylee, Piper\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11876\", \"logical_representation\": [\"2017/10/17\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11877\", \"logical_representation\": [\"2017/10/17\", \"dinner\", \"sushi\", \"Avery\"], \"text_template_based\": \"I had sushi for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/10/17?\", \"Avery\"], [\"what did I eat for dinner on 2017/10/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11878\", \"logical_representation\": [\"2017/10/17\", \"Piper\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2017/10/17?\", \"6 minutes\"], [\"who did I talk to on 2017/10/17?\", \"Piper\"], [\"Did I talk to Piper on 2017/10/17?\", \"yes\"], [\"Did I talk to anyone on 2017/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11879\", \"logical_representation\": [\"2017/10/17\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/10/17?\", \"32 minutes\"], [\"what did I read on 2017/10/17?\", \"a book\"], [\"Did I read on 2017/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/20\": {\"hobbies\": {\"eid\": \"e10757\", \"logical_representation\": [\"2017/10/20\", \"I spent some time yoga on 2017/10/20.\", \"yoga\", \"Piper, Piper\"], \"text_template_based\": \"I spent some time yoga on 2017/10/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2017/10/20\"], [\"On 2017/10/20, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11887\", \"logical_representation\": [\"2017/10/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/20?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2017/10/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11888\", \"logical_representation\": [\"2017/10/20\", \"dinner\", \"sandwich\", \"Nora, Kinsley\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/10/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11889\", \"logical_representation\": [\"2017/10/20\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I watched a documentary for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/20?\", \"44 minutes\"], [\"what did I watch on tv on 2017/10/20?\", \"a documentary\"], [\"Did I watch tv on 2017/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/19\": {\"grocery\": {\"eid\": \"e10759\", \"logical_representation\": [\"2017/10/19\", \"I went grocery shopping with Emily. I bought some oranges, raspberries, chocolate milk, and mouthwash, toilet paper, toothbrush\", \"oranges, raspberries\", \"chocolate milk\", \"mouthwash, toilet paper, toothbrush\", \"Emily\"], \"text_template_based\": \"I went grocery shopping with Emily. I bought some oranges, raspberries, chocolate milk, and mouthwash, toilet paper, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/10/19?\", \"oranges, raspberries, chocolate milk, and mouthwash, toilet paper, toothbrush\"], [\"what fruits did I buy from the grocery store on 2017/10/19?\", \"oranges, raspberries\"], [\"what drinks did I buy from the grocery store on 2017/10/19?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2017/10/19?\", \"mouthwash, toilet paper, toothbrush\"], [\"who was with me at the grocery store on 2017/10/19?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11884\", \"logical_representation\": [\"2017/10/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/10/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11885\", \"logical_representation\": [\"2017/10/19\", \"lunch\", \"steak\", \"Andrew\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/19\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11886\", \"logical_representation\": [\"2017/10/19\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/19?\", \"12 minutes\"], [\"what did I watch on tv on 2017/10/19?\", \"news\"], [\"Did I watch tv on 2017/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/23\": {\"cook\": {\"eid\": \"e10760\", \"logical_representation\": [\"2017/10/23\", \"I really enjoyed cooking chinese broccoli with oyster sauce on 2017/10/23 with Kayden at my place\", \"cook\", \"chinese broccoli with oyster sauce\", \"Kayden\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking chinese broccoli with oyster sauce on 2017/10/23 with Kayden at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  chinese broccoli with oyster sauce with Kayden?\", \"2017/10/23\"], [\"what did I  on 2017/10/23?\", \"chinese broccoli with oyster sauce\"], [\"who was I with when I  chinese broccoli with oyster sauce on 2017/10/23?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11895\", \"logical_representation\": [\"2017/10/23\", \"dinner\", \"indian food\", \"Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/10/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11896\", \"logical_representation\": [\"2017/10/23\", \"Avery, Lydia\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia for 40 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia in the early evening on 2017/10/23?\", \"40 minutes\"], [\"who did I talk to on 2017/10/23?\", \"Avery, Lydia\"], [\"Did I talk to Avery, Lydia on 2017/10/23?\", \"yes\"], [\"Did I talk to anyone on 2017/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11897\", \"logical_representation\": [\"2017/10/23\", \"Kinsley, Layla, Olivia, Nevaeh\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Kinsley, Layla, Olivia, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Olivia, Nevaeh in the early evening on 2017/10/23?\", \"10 minutes\"], [\"who did I talk to on 2017/10/23?\", \"Kinsley, Layla, Olivia, Nevaeh\"], [\"Did I talk to Kinsley, Layla, Olivia, Nevaeh on 2017/10/23?\", \"yes\"], [\"Did I talk to anyone on 2017/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11898\", \"logical_representation\": [\"2017/10/23\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/10/23?\", \"42 minutes\"], [\"what did I read on 2017/10/23?\", \"social media\"], [\"Did I read on 2017/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11899\", \"logical_representation\": [\"2017/10/23\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I watched a documentary for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/23?\", \"40 minutes\"], [\"what did I watch on tv on 2017/10/23?\", \"a documentary\"], [\"Did I watch tv on 2017/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/26\": {\"dating\": {\"eid\": \"e10761\", \"logical_representation\": [\"2017/10/26\", \"Aubrey\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Aubrey on 2017/10/26 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/10/26\", \"Aubrey\"], [\"where did I go for the date on 2017/10/26\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11907\", \"logical_representation\": [\"2017/10/26\", \"breakfast\", \"oatmeal\", \"Avery, Piper, Nevaeh, Eva, Kinsley, Olivia, Nora, Layla, Lydia\"], \"text_template_based\": \"I had breakfast with Avery, Piper, Nevaeh, Eva, Kinsley, Olivia, Nora, Layla, Lydia. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/26?\", \"Avery, Piper, Nevaeh, Eva, Kinsley, Olivia, Nora, Layla, Lydia\"], [\"what did I eat for breakfast on 2017/10/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11908\", \"logical_representation\": [\"2017/10/26\", \"Olivia, Kinsley\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley for 49 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley during lunch hours on 2017/10/26?\", \"49 minutes\"], [\"who did I talk to on 2017/10/26?\", \"Olivia, Kinsley\"], [\"Did I talk to Olivia, Kinsley on 2017/10/26?\", \"yes\"], [\"Did I talk to anyone on 2017/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11909\", \"logical_representation\": [\"2017/10/26\", \"news\", \"40 minutes\"], \"text_template_based\": \"I watched news for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/26?\", \"40 minutes\"], [\"what did I watch on tv on 2017/10/26?\", \"news\"], [\"Did I watch tv on 2017/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/04\": {\"grocery\": {\"eid\": \"e10763\", \"logical_representation\": [\"2017/11/04\", \"I bought some raspberries, pears, cherres, sports drinks, mouthwash, conditioner from the grocery store. I saw Rylee, Avery, Hazel at the grocery store.\", \"raspberries, pears, cherres\", \"sports drinks\", \"mouthwash, conditioner\", \"Rylee, Avery, Hazel\"], \"text_template_based\": \"I bought some raspberries, pears, cherres, sports drinks, mouthwash, conditioner from the grocery store. I saw Rylee, Avery, Hazel at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/11/04?\", \"raspberries, pears, cherres, sports drinks, and mouthwash, conditioner\"], [\"what fruits did I buy from the grocery store on 2017/11/04?\", \"raspberries, pears, cherres\"], [\"what drinks did I buy from the grocery store on 2017/11/04?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2017/11/04?\", \"mouthwash, conditioner\"], [\"who did I see at the grocery store on 2017/11/04?\", \"Rylee, Avery, Hazel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11936\", \"logical_representation\": [\"2017/11/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/11/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11937\", \"logical_representation\": [\"2017/11/04\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I had oatmeal for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/11/04?\", \"Carter\"], [\"what did I eat for breakfast on 2017/11/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11938\", \"logical_representation\": [\"2017/11/04\", \"Layla, Lydia\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I talked to Layla, Lydia for 38 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia during lunch hours on 2017/11/04?\", \"38 minutes\"], [\"who did I talk to on 2017/11/04?\", \"Layla, Lydia\"], [\"Did I talk to Layla, Lydia on 2017/11/04?\", \"yes\"], [\"Did I talk to anyone on 2017/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/11\": {\"cook\": {\"eid\": \"e10764\", \"logical_representation\": [\"2017/11/11\", \"I entertained Willow at my place on 2017/11/11 and cook hamburger stroganoff, favorite chicken potpie, ramen noodle stir-fry\", \"cook\", \"hamburger stroganoff, favorite chicken potpie, ramen noodle stir-fry\", \"Willow\", \"my place\"], \"text_template_based\": \"I entertained Willow at my place on 2017/11/11 and cook hamburger stroganoff, favorite chicken potpie, ramen noodle stir-fry\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook hamburger stroganoff, favorite chicken potpie, ramen noodle stir-fry with Willow?\", \"2017/11/11\"], [\"what did I cook on 2017/11/11?\", \"hamburger stroganoff, favorite chicken potpie, ramen noodle stir-fry\"], [\"who was I with when I  hamburger stroganoff, favorite chicken potpie, ramen noodle stir-fry on 2017/11/11?\", \"Willow\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11964\", \"logical_representation\": [\"2017/11/11\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/11/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/11?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11965\", \"logical_representation\": [\"2017/11/11\", \"lunch\", \"indian food\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11966\", \"logical_representation\": [\"2017/11/11\", \"dinner\", \"tacos\", \"Carter, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/11/11?\", \"Carter, Andrew\"], [\"what did I eat for dinner on 2017/11/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11967\", \"logical_representation\": [\"2017/11/11\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/11?\", \"8 minutes\"], [\"what did I watch on tv on 2017/11/11?\", \"news\"], [\"Did I watch tv on 2017/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/05\": {\"dating\": {\"eid\": \"e10765\", \"logical_representation\": [\"2017/11/05\", \"Quinn\", \"a restaurant\"], \"text_template_based\": \"On 2017/11/05, I took Quinn on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/11/05\", \"Quinn\"], [\"where did I go for the date on 2017/11/05\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11939\", \"logical_representation\": [\"2017/11/05\", \"lunch\", \"sandwich\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11940\", \"logical_representation\": [\"2017/11/05\", \"dinner\", \"chinese food\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/11/05\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11941\", \"logical_representation\": [\"2017/11/05\", \"Layla, Piper, Claire, Nevaeh\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Layla, Piper, Claire, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Claire, Nevaeh during lunch hours on 2017/11/05?\", \"20 minutes\"], [\"who did I talk to on 2017/11/05?\", \"Layla, Piper, Claire, Nevaeh\"], [\"Did I talk to Layla, Piper, Claire, Nevaeh on 2017/11/05?\", \"yes\"], [\"Did I talk to anyone on 2017/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11942\", \"logical_representation\": [\"2017/11/05\", \"a book\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/11/05?\", \"21 minutes\"], [\"what did I read on 2017/11/05?\", \"a book\"], [\"Did I read on 2017/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/08\": {\"grocery\": {\"eid\": \"e10766\", \"logical_representation\": [\"2017/11/08\", \"I bought some nectarines, apples, raspberries, guava juice, coffee, soda, conditioner from the grocery store. I saw Kayden, Carter, Emily, Andrew at the grocery store.\", \"nectarines, apples, raspberries\", \"guava juice, coffee, soda\", \"conditioner\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I bought some nectarines, apples, raspberries, guava juice, coffee, soda, conditioner from the grocery store. I saw Kayden, Carter, Emily, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/11/08?\", \"nectarines, apples, raspberries, guava juice, coffee, soda, and conditioner\"], [\"what fruits did I buy from the grocery store on 2017/11/08?\", \"nectarines, apples, raspberries\"], [\"what drinks did I buy from the grocery store on 2017/11/08?\", \"guava juice, coffee, soda\"], [\"what toiletries did I buy from the grocery store on 2017/11/08?\", \"conditioner\"], [\"who did I see at the grocery store on 2017/11/08?\", \"Kayden, Carter, Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11952\", \"logical_representation\": [\"2017/11/08\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Carter. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/11/08?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2017/11/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11953\", \"logical_representation\": [\"2017/11/08\", \"lunch\", \"sandwich\", \"Olivia, Kinsley, Avery, Claire, Piper, Eva, Layla\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11954\", \"logical_representation\": [\"2017/11/08\", \"dinner\", \"indian food\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/11/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11955\", \"logical_representation\": [\"2017/11/08\", \"Layla, Olivia\", \"late in the evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Layla, Olivia for 35 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia late in the evening on 2017/11/08?\", \"35 minutes\"], [\"who did I talk to on 2017/11/08?\", \"Layla, Olivia\"], [\"Did I talk to Layla, Olivia on 2017/11/08?\", \"yes\"], [\"Did I talk to anyone on 2017/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11956\", \"logical_representation\": [\"2017/11/08\", \"Piper, Hazel, Kinsley, Lydia\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Piper, Hazel, Kinsley, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Kinsley, Lydia during lunch hours on 2017/11/08?\", \"55 minutes\"], [\"who did I talk to on 2017/11/08?\", \"Piper, Hazel, Kinsley, Lydia\"], [\"Did I talk to Piper, Hazel, Kinsley, Lydia on 2017/11/08?\", \"yes\"], [\"Did I talk to anyone on 2017/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11957\", \"logical_representation\": [\"2017/11/08\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/11/08?\", \"9 minutes\"], [\"what did I read on 2017/11/08?\", \"social media\"], [\"Did I read on 2017/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11958\", \"logical_representation\": [\"2017/11/08\", \"a movie\", \"15 minutes\"], \"text_template_based\": \"I watched a movie for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/08?\", \"15 minutes\"], [\"what did I watch on tv on 2017/11/08?\", \"a movie\"], [\"Did I watch tv on 2017/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/14\": {\"dating\": {\"eid\": \"e10767\", \"logical_representation\": [\"2017/11/14\", \"Noah\", \"a park\"], \"text_template_based\": \"I went on a date with Noah on 2017/11/14 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/11/14\", \"Noah\"], [\"where did I go for the date on 2017/11/14\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10769\", \"logical_representation\": [\"2017/11/14\", \"I went grocery shopping with Emily, Andrew. I bought some watermelons, cherres, guava, strawberries, coffee, sports drinks, and shaving cream, facial wash, conditioner\", \"watermelons, cherres, guava, strawberries\", \"coffee, sports drinks\", \"shaving cream, facial wash, conditioner\", \"Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping with Emily, Andrew. I bought some watermelons, cherres, guava, strawberries, coffee, sports drinks, and shaving cream, facial wash, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/11/14?\", \"watermelons, cherres, guava, strawberries, coffee, sports drinks, and shaving cream, facial wash, conditioner\"], [\"what fruits did I buy from the grocery store on 2017/11/14?\", \"watermelons, cherres, guava, strawberries\"], [\"what drinks did I buy from the grocery store on 2017/11/14?\", \"coffee, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2017/11/14?\", \"shaving cream, facial wash, conditioner\"], [\"who was with me at the grocery store on 2017/11/14?\", \"Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11974\", \"logical_representation\": [\"2017/11/14\", \"breakfast\", \"cereals\", \"Olivia, Piper, Kinsley, Layla\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/11/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11975\", \"logical_representation\": [\"2017/11/14\", \"lunch\", \"a burger\", \"Avery, Hazel\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11976\", \"logical_representation\": [\"2017/11/14\", \"Layla, Eva, Hazel, Olivia\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Layla, Eva, Hazel, Olivia for 48 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Hazel, Olivia in the early afternoon on 2017/11/14?\", \"48 minutes\"], [\"who did I talk to on 2017/11/14?\", \"Layla, Eva, Hazel, Olivia\"], [\"Did I talk to Layla, Eva, Hazel, Olivia on 2017/11/14?\", \"yes\"], [\"Did I talk to anyone on 2017/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11977\", \"logical_representation\": [\"2017/11/14\", \"a movie\", \"20 minutes\"], \"text_template_based\": \"I watched a movie for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/14?\", \"20 minutes\"], [\"what did I watch on tv on 2017/11/14?\", \"a movie\"], [\"Did I watch tv on 2017/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/18\": {\"hobbies\": {\"eid\": \"e10768\", \"logical_representation\": [\"2017/11/18\", \"I spent time meditation on 2017/11/18 with Layla, Eva.\", \"meditation\", \"Layla, Eva\"], \"text_template_based\": \"I spent time meditation on 2017/11/18 with Layla, Eva.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Layla, Eva?\", \"2017/11/18\"], [\"On 2017/11/18, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2017/11/18?\", \"Layla, Eva\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11987\", \"logical_representation\": [\"2017/11/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/11/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11988\", \"logical_representation\": [\"2017/11/18\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/11/18?\", \"Emily\"], [\"what did I eat for lunch on 2017/11/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11989\", \"logical_representation\": [\"2017/11/18\", \"dinner\", \"steak\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Carter, Andrew. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/11/18?\", \"Emily, Carter, Andrew\"], [\"what did I eat for dinner on 2017/11/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11990\", \"logical_representation\": [\"2017/11/18\", \"Layla, Piper, Piper, Nevaeh\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Piper, Nevaeh for 46 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Piper, Nevaeh in the morning on 2017/11/18?\", \"46 minutes\"], [\"who did I talk to on 2017/11/18?\", \"Layla, Piper, Piper, Nevaeh\"], [\"Did I talk to Layla, Piper, Piper, Nevaeh on 2017/11/18?\", \"yes\"], [\"Did I talk to anyone on 2017/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11991\", \"logical_representation\": [\"2017/11/18\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/11/18?\", \"8 minutes\"], [\"what did I read on 2017/11/18?\", \"news\"], [\"Did I read on 2017/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/23\": {\"dating\": {\"eid\": \"e10770\", \"logical_representation\": [\"2017/11/23\", \"Mason\", \"a park\"], \"text_template_based\": \"On 2017/11/23, I took Mason on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/11/23\", \"Mason\"], [\"where did I go for the date on 2017/11/23\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12003\", \"logical_representation\": [\"2017/11/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/11/23?\", \"Andrew\"], [\"what did I eat for breakfast on 2017/11/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12004\", \"logical_representation\": [\"2017/11/23\", \"lunch\", \"indian food\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had indian food for lunch with Kayden, Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/11/23?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2017/11/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12005\", \"logical_representation\": [\"2017/11/23\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/11/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12006\", \"logical_representation\": [\"2017/11/23\", \"Claire, Layla\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Claire, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla in the late afternoon on 2017/11/23?\", \"13 minutes\"], [\"who did I talk to on 2017/11/23?\", \"Claire, Layla\"], [\"Did I talk to Claire, Layla on 2017/11/23?\", \"yes\"], [\"Did I talk to anyone on 2017/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12007\", \"logical_representation\": [\"2017/11/23\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/11/23?\", \"16 minutes\"], [\"what did I read on 2017/11/23?\", \"news\"], [\"Did I read on 2017/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/19\": {\"hobbies\": {\"eid\": \"e10771\", \"logical_representation\": [\"2017/11/19\", \"I really enjoyed working out on 2017/11/19\", \"working out\", \"Emily\"], \"text_template_based\": \"I really enjoyed working out on 2017/11/19\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2017/11/19\"], [\"On 2017/11/19, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e11992\", \"logical_representation\": [\"2017/11/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/11/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11993\", \"logical_representation\": [\"2017/11/19\", \"breakfast\", \"oatmeal\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/11/19\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11994\", \"logical_representation\": [\"2017/11/19\", \"dinner\", \"tacos\", \"Avery, Piper, Hazel, Rylee, Lydia, Claire\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/11/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11995\", \"logical_representation\": [\"2017/11/19\", \"Hazel\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2017/11/19?\", \"5 minutes\"], [\"who did I talk to on 2017/11/19?\", \"Hazel\"], [\"Did I talk to Hazel on 2017/11/19?\", \"yes\"], [\"Did I talk to anyone on 2017/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11996\", \"logical_representation\": [\"2017/11/19\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/11/19?\", \"27 minutes\"], [\"what did I read on 2017/11/19?\", \"social media\"], [\"Did I read on 2017/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/24\": {\"hobbies\": {\"eid\": \"e10772\", \"logical_representation\": [\"2017/11/24\", \"I spent time meditation on 2017/11/24 with Jackson, Avery.\", \"meditation\", \"Jackson, Avery\"], \"text_template_based\": \"I spent time meditation on 2017/11/24 with Jackson, Avery.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Jackson, Avery?\", \"2017/11/24\"], [\"On 2017/11/24, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2017/11/24?\", \"Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12008\", \"logical_representation\": [\"2017/11/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/11/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12009\", \"logical_representation\": [\"2017/11/24\", \"Nora\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2017/11/24?\", \"29 minutes\"], [\"who did I talk to on 2017/11/24?\", \"Nora\"], [\"Did I talk to Nora on 2017/11/24?\", \"yes\"], [\"Did I talk to anyone on 2017/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12010\", \"logical_representation\": [\"2017/11/24\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/11/24?\", \"22 minutes\"], [\"what did I read on 2017/11/24?\", \"a book\"], [\"Did I read on 2017/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12011\", \"logical_representation\": [\"2017/11/24\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/24?\", \"10 minutes\"], [\"what did I watch on tv on 2017/11/24?\", \"news\"], [\"Did I watch tv on 2017/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/20\": {\"grocery\": {\"eid\": \"e10773\", \"logical_representation\": [\"2017/11/20\", \"I went grocery shopping with Rylee, Nora, Lydia, Claire, Piper, Avery. I bought some mangos, blackberries, mandarins, apples, pineapple juice, apple juice, and toothpaste\", \"mangos, blackberries, mandarins, apples\", \"pineapple juice, apple juice\", \"toothpaste\", \"Rylee, Nora, Lydia, Claire, Piper, Avery\"], \"text_template_based\": \"I went grocery shopping with Rylee, Nora, Lydia, Claire, Piper, Avery. I bought some mangos, blackberries, mandarins, apples, pineapple juice, apple juice, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/11/20?\", \"mangos, blackberries, mandarins, apples, pineapple juice, apple juice, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2017/11/20?\", \"mangos, blackberries, mandarins, apples\"], [\"what drinks did I buy from the grocery store on 2017/11/20?\", \"pineapple juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2017/11/20?\", \"toothpaste\"], [\"who was with me at the grocery store on 2017/11/20?\", \"Rylee, Nora, Lydia, Claire, Piper, Avery\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11997\", \"logical_representation\": [\"2017/11/20\", \"breakfast\", \"pancakes\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/11/20?\", \"Emily, Carter, Kayden\"], [\"what did I eat for breakfast on 2017/11/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11998\", \"logical_representation\": [\"2017/11/20\", \"Kinsley\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2017/11/20?\", \"37 minutes\"], [\"who did I talk to on 2017/11/20?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2017/11/20?\", \"yes\"], [\"Did I talk to anyone on 2017/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/01\": {\"grocery\": {\"eid\": \"e10774\", \"logical_representation\": [\"2017/12/01\", \"I bought some apricots, guava, chocolate milk, mineral water, milk, soda, mouthwash, shampoo online.\", \"apricots, guava\", \"chocolate milk, mineral water, milk, soda\", \"mouthwash, shampoo\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I bought some apricots, guava, chocolate milk, mineral water, milk, soda, mouthwash, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/12/01?\", \"apricots, guava, chocolate milk, mineral water, milk, soda, and mouthwash, shampoo\"], [\"what fruits did I buy online on 2017/12/01?\", \"apricots, guava\"], [\"what drinks did I buy online on 2017/12/01?\", \"chocolate milk, mineral water, milk, soda\"], [\"what toiletries did I buy online on 2017/12/01?\", \"mouthwash, shampoo\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12031\", \"logical_representation\": [\"2017/12/01\", \"breakfast\", \"oatmeal\", \"Andrew, Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/12/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12032\", \"logical_representation\": [\"2017/12/01\", \"dinner\", \"chinese food\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12033\", \"logical_representation\": [\"2017/12/01\", \"Avery, Piper\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Avery, Piper for 5 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the late afternoon on 2017/12/01?\", \"5 minutes\"], [\"who did I talk to on 2017/12/01?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2017/12/01?\", \"yes\"], [\"Did I talk to anyone on 2017/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/07\": {\"cook\": {\"eid\": \"e10775\", \"logical_representation\": [\"2017/12/07\", \"I really enjoyed cooking macaroni and cheese on 2017/12/07 with Avery, Benjamin, Willow, Jackson at my place\", \"cook\", \"macaroni and cheese\", \"Avery, Benjamin, Willow, Jackson\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking macaroni and cheese on 2017/12/07 with Avery, Benjamin, Willow, Jackson at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  macaroni and cheese with Avery, Benjamin, Willow, Jackson?\", \"2017/12/07\"], [\"what did I  on 2017/12/07?\", \"macaroni and cheese\"], [\"who was I with when I  macaroni and cheese on 2017/12/07?\", \"Avery, Benjamin, Willow, Jackson\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12052\", \"logical_representation\": [\"2017/12/07\", \"lunch\", \"sandwich\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12053\", \"logical_representation\": [\"2017/12/07\", \"Avery, Eva, Olivia, Piper\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Avery, Eva, Olivia, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Olivia, Piper late in the evening on 2017/12/07?\", \"47 minutes\"], [\"who did I talk to on 2017/12/07?\", \"Avery, Eva, Olivia, Piper\"], [\"Did I talk to Avery, Eva, Olivia, Piper on 2017/12/07?\", \"yes\"], [\"Did I talk to anyone on 2017/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12054\", \"logical_representation\": [\"2017/12/07\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/12/07?\", \"53 minutes\"], [\"what did I read on 2017/12/07?\", \"social media\"], [\"Did I read on 2017/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12055\", \"logical_representation\": [\"2017/12/07\", \"news\", \"51 minutes\"], \"text_template_based\": \"I watched news for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/07?\", \"51 minutes\"], [\"what did I watch on tv on 2017/12/07?\", \"news\"], [\"Did I watch tv on 2017/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/05\": {\"grocery\": {\"eid\": \"e10776\", \"logical_representation\": [\"2017/12/05\", \"I went grocery shopping. I bought some mangos, sports drinks, coffee, and shampoo, shaving cream\", \"mangos\", \"sports drinks, coffee\", \"shampoo, shaving cream\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, sports drinks, coffee, and shampoo, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/12/05?\", \"mangos, sports drinks, coffee, and shampoo, shaving cream\"], [\"what fruits did I buy from the grocery store on 2017/12/05?\", \"mangos\"], [\"what drinks did I buy from the grocery store on 2017/12/05?\", \"sports drinks, coffee\"], [\"what toiletries did I buy from the grocery store on 2017/12/05?\", \"shampoo, shaving cream\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12047\", \"logical_representation\": [\"2017/12/05\", \"biking\"], \"text_template_based\": \"I did biking on 2017/12/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/05?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12048\", \"logical_representation\": [\"2017/12/05\", \"lunch\", \"sushi\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12049\", \"logical_representation\": [\"2017/12/05\", \"dinner\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/05\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2017/12/12\": {\"bake\": {\"eid\": \"e10777\", \"logical_representation\": [\"2017/12/12\", \"I entertained Carter, Andrew, Kayden, Emily at my place on 2017/12/12 and bake cinnamon sheet cake with cider frosting\", \"bake\", \"cinnamon sheet cake with cider frosting\", \"Carter, Andrew, Kayden, Emily\", \"my place\"], \"text_template_based\": \"I entertained Carter, Andrew, Kayden, Emily at my place on 2017/12/12 and bake cinnamon sheet cake with cider frosting\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake cinnamon sheet cake with cider frosting with Carter, Andrew, Kayden, Emily?\", \"2017/12/12\"], [\"what did I bake on 2017/12/12?\", \"cinnamon sheet cake with cider frosting\"], [\"who was I with when I  cinnamon sheet cake with cider frosting on 2017/12/12?\", \"Carter, Andrew, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e10778\", \"logical_representation\": [\"2017/12/12\", \"I bought some guava, apples, mango juice, pineapple juice, guava juice, milk, facial wash, toilet paper, conditioner, toothbrush from the grocery store. I saw Piper, Nevaeh, Lydia at the grocery store.\", \"guava, apples\", \"mango juice, pineapple juice, guava juice, milk\", \"facial wash, toilet paper, conditioner, toothbrush\", \"Piper, Nevaeh, Lydia\"], \"text_template_based\": \"I bought some guava, apples, mango juice, pineapple juice, guava juice, milk, facial wash, toilet paper, conditioner, toothbrush from the grocery store. I saw Piper, Nevaeh, Lydia at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/12/12?\", \"guava, apples, mango juice, pineapple juice, guava juice, milk, and facial wash, toilet paper, conditioner, toothbrush\"], [\"what fruits did I buy from the grocery store on 2017/12/12?\", \"guava, apples\"], [\"what drinks did I buy from the grocery store on 2017/12/12?\", \"mango juice, pineapple juice, guava juice, milk\"], [\"what toiletries did I buy from the grocery store on 2017/12/12?\", \"facial wash, toilet paper, conditioner, toothbrush\"], [\"who did I see at the grocery store on 2017/12/12?\", \"Piper, Nevaeh, Lydia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12075\", \"logical_representation\": [\"2017/12/12\", \"biking\"], \"text_template_based\": \"I did biking on 2017/12/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/12?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12076\", \"logical_representation\": [\"2017/12/12\", \"lunch\", \"chinese food\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Andrew, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/12/12?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for lunch on 2017/12/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12077\", \"logical_representation\": [\"2017/12/12\", \"news\", \"41 minutes\"], \"text_template_based\": \"I watched news for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/12?\", \"41 minutes\"], [\"what did I watch on tv on 2017/12/12?\", \"news\"], [\"Did I watch tv on 2017/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/23\": {\"dating\": {\"eid\": \"e10779\", \"logical_representation\": [\"2017/12/23\", \"Dylan\", \"a boba shop\"], \"text_template_based\": \"On 2017/12/23, I took Dylan on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/12/23\", \"Dylan\"], [\"where did I go for the date on 2017/12/23\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12123\", \"logical_representation\": [\"2017/12/23\", \"running\"], \"text_template_based\": \"I did running on 2017/12/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12124\", \"logical_representation\": [\"2017/12/23\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/12/23?\", \"44 minutes\"], [\"what did I read on 2017/12/23?\", \"social media\"], [\"Did I read on 2017/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/17\": {\"hobbies\": {\"eid\": \"e10780\", \"logical_representation\": [\"2017/12/17\", \"I spent some time gardening on 2017/12/17.\", \"gardening\", \"Carter, Emily\"], \"text_template_based\": \"I spent some time gardening on 2017/12/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2017/12/17\"], [\"On 2017/12/17, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12100\", \"logical_representation\": [\"2017/12/17\", \"dinner\", \"steak\", \"Avery, Eva, Claire, Layla, Kinsley, Piper, Nevaeh, Lydia, Nora, Piper, Hazel\"], \"text_template_based\": \"I had dinner with Avery, Eva, Claire, Layla, Kinsley, Piper, Nevaeh, Lydia, Nora, Piper, Hazel. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/12/17?\", \"Avery, Eva, Claire, Layla, Kinsley, Piper, Nevaeh, Lydia, Nora, Piper, Hazel\"], [\"what did I eat for dinner on 2017/12/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12101\", \"logical_representation\": [\"2017/12/17\", \"Claire, Nevaeh, Layla\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Claire, Nevaeh, Layla for 23 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Layla in the early evening on 2017/12/17?\", \"23 minutes\"], [\"who did I talk to on 2017/12/17?\", \"Claire, Nevaeh, Layla\"], [\"Did I talk to Claire, Nevaeh, Layla on 2017/12/17?\", \"yes\"], [\"Did I talk to anyone on 2017/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12102\", \"logical_representation\": [\"2017/12/17\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/12/17?\", \"7 minutes\"], [\"what did I read on 2017/12/17?\", \"social media\"], [\"Did I read on 2017/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12103\", \"logical_representation\": [\"2017/12/17\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/17?\", \"46 minutes\"], [\"what did I watch on tv on 2017/12/17?\", \"news\"], [\"Did I watch tv on 2017/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/26\": {\"bake\": {\"eid\": \"e10781\", \"logical_representation\": [\"2017/12/26\", \"I really enjoyed baking blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler on 2017/12/26 with Claire, Olivia, Piper at my place\", \"bake\", \"blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler\", \"Claire, Olivia, Piper\", \"my place\"], \"text_template_based\": \"I really enjoyed baking blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler on 2017/12/26 with Claire, Olivia, Piper at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler with Claire, Olivia, Piper?\", \"2017/12/26\"], [\"what did I  on 2017/12/26?\", \"blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler\"], [\"who was I with when I  blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler on 2017/12/26?\", \"Claire, Olivia, Piper\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12131\", \"logical_representation\": [\"2017/12/26\", \"lunch\", \"chinese food\", \"Nevaeh, Lydia, Piper, Layla, Avery, Eva, Rylee, Claire, Olivia, Nora\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12132\", \"logical_representation\": [\"2017/12/26\", \"Piper, Eva\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I talked to Piper, Eva for 8 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva during lunch hours on 2017/12/26?\", \"8 minutes\"], [\"who did I talk to on 2017/12/26?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2017/12/26?\", \"yes\"], [\"Did I talk to anyone on 2017/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12133\", \"logical_representation\": [\"2017/12/26\", \"Eva, Lydia\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Eva, Lydia for 40 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia in the early evening on 2017/12/26?\", \"40 minutes\"], [\"who did I talk to on 2017/12/26?\", \"Eva, Lydia\"], [\"Did I talk to Eva, Lydia on 2017/12/26?\", \"yes\"], [\"Did I talk to anyone on 2017/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12134\", \"logical_representation\": [\"2017/12/26\", \"a documentary\", \"48 minutes\"], \"text_template_based\": \"I watched a documentary for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/26?\", \"48 minutes\"], [\"what did I watch on tv on 2017/12/26?\", \"a documentary\"], [\"Did I watch tv on 2017/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/29\": {\"dating\": {\"eid\": \"e10782\", \"logical_representation\": [\"2017/12/29\", \"Jacob\", \"a coffee Shop\"], \"text_template_based\": \"On 2017/12/29, I took Jacob on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/12/29\", \"Jacob\"], [\"where did I go for the date on 2017/12/29\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12143\", \"logical_representation\": [\"2017/12/29\", \"biking\"], \"text_template_based\": \"I did biking on 2017/12/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/29?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12144\", \"logical_representation\": [\"2017/12/29\", \"breakfast\", \"oatmeal\", \"Piper, Claire, Eva, Kinsley, Layla, Piper, Nevaeh, Rylee, Nora, Avery, Olivia\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/12/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12145\", \"logical_representation\": [\"2017/12/29\", \"dinner\", \"pasta\", \"Piper, Kinsley, Avery, Lydia, Nevaeh, Claire, Rylee, Olivia, Layla, Piper, Eva\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12146\", \"logical_representation\": [\"2017/12/29\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/12/29?\", \"9 minutes\"], [\"what did I read on 2017/12/29?\", \"news\"], [\"Did I read on 2017/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/30\": {\"hobbies\": {\"eid\": \"e10783\", \"logical_representation\": [\"2017/12/30\", \"I spent some time working out on 2017/12/30.\", \"working out\", \"Kayden, Emily\"], \"text_template_based\": \"I spent some time working out on 2017/12/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2017/12/30\"], [\"On 2017/12/30, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12147\", \"logical_representation\": [\"2017/12/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/12/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12148\", \"logical_representation\": [\"2017/12/30\", \"dinner\", \"sandwich\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12149\", \"logical_representation\": [\"2017/12/30\", \"Claire, Olivia, Layla, Eva\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Claire, Olivia, Layla, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Layla, Eva in the morning on 2017/12/30?\", \"55 minutes\"], [\"who did I talk to on 2017/12/30?\", \"Claire, Olivia, Layla, Eva\"], [\"Did I talk to Claire, Olivia, Layla, Eva on 2017/12/30?\", \"yes\"], [\"Did I talk to anyone on 2017/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/01\": {\"exercise\": {\"eid\": \"e10784\", \"logical_representation\": [\"2017/01/01\", \"biking\"], \"text_template_based\": \"I did biking on 2017/01/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/01?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10785\", \"logical_representation\": [\"2017/01/01\", \"breakfast\", \"pancakes\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Kayden, Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/01/01?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2017/01/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10786\", \"logical_representation\": [\"2017/01/01\", \"lunch\", \"a burger\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10787\", \"logical_representation\": [\"2017/01/01\", \"Nevaeh\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2017/01/01?\", \"41 minutes\"], [\"who did I talk to on 2017/01/01?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2017/01/01?\", \"yes\"], [\"Did I talk to anyone on 2017/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10788\", \"logical_representation\": [\"2017/01/01\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/01/01?\", \"32 minutes\"], [\"what did I read on 2017/01/01?\", \"news\"], [\"Did I read on 2017/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/02\": {\"exercise\": {\"eid\": \"e10789\", \"logical_representation\": [\"2017/01/02\", \"biking\"], \"text_template_based\": \"I did biking on 2017/01/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/02?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10790\", \"logical_representation\": [\"2017/01/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/01/02?\", \"Emily\"], [\"what did I eat for breakfast on 2017/01/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10791\", \"logical_representation\": [\"2017/01/02\", \"Eva, Nora, Kinsley\", \"in the morning\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Eva, Nora, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Kinsley in the morning on 2017/01/02?\", \"34 minutes\"], [\"who did I talk to on 2017/01/02?\", \"Eva, Nora, Kinsley\"], [\"Did I talk to Eva, Nora, Kinsley on 2017/01/02?\", \"yes\"], [\"Did I talk to anyone on 2017/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10792\", \"logical_representation\": [\"2017/01/02\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/01/02?\", \"13 minutes\"], [\"what did I read on 2017/01/02?\", \"social media\"], [\"Did I read on 2017/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/03\": {\"lunch\": {\"eid\": \"e10793\", \"logical_representation\": [\"2017/01/03\", \"lunch\", \"fish and chips\", \"Rylee\"], \"text_template_based\": \"I had lunch with Rylee. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/01/03?\", \"Rylee\"], [\"what did I eat for lunch on 2017/01/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2017/01/05\": {\"exercise\": {\"eid\": \"e10797\", \"logical_representation\": [\"2017/01/05\", \"running\"], \"text_template_based\": \"I did running on 2017/01/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/05?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10798\", \"logical_representation\": [\"2017/01/05\", \"breakfast\", \"pancakes\", \"Nora, Piper\"], \"text_template_based\": \"I had pancakes for breakfast with Nora, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/01/05?\", \"Nora, Piper\"], [\"what did I eat for breakfast on 2017/01/05\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10799\", \"logical_representation\": [\"2017/01/05\", \"lunch\", \"sushi\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/05\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2017/01/06\": {\"exercise\": {\"eid\": \"e10800\", \"logical_representation\": [\"2017/01/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/01/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10801\", \"logical_representation\": [\"2017/01/06\", \"breakfast\", \"pancakes\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/01/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10802\", \"logical_representation\": [\"2017/01/06\", \"dinner\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/01/06?\", \"Andrew\"], [\"what did I eat for dinner on 2017/01/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10803\", \"logical_representation\": [\"2017/01/06\", \"Nora, Kinsley, Claire, Eva\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Nora, Kinsley, Claire, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Claire, Eva in the morning on 2017/01/06?\", \"13 minutes\"], [\"who did I talk to on 2017/01/06?\", \"Nora, Kinsley, Claire, Eva\"], [\"Did I talk to Nora, Kinsley, Claire, Eva on 2017/01/06?\", \"yes\"], [\"Did I talk to anyone on 2017/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10804\", \"logical_representation\": [\"2017/01/06\", \"a documentary\", \"31 minutes\"], \"text_template_based\": \"I watched a documentary for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/06?\", \"31 minutes\"], [\"what did I watch on tv on 2017/01/06?\", \"a documentary\"], [\"Did I watch tv on 2017/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/07\": {\"exercise\": {\"eid\": \"e10805\", \"logical_representation\": [\"2017/01/07\", \"biking\"], \"text_template_based\": \"I did biking on 2017/01/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/07?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10806\", \"logical_representation\": [\"2017/01/07\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/01/07?\", \"17 minutes\"], [\"what did I read on 2017/01/07?\", \"social media\"], [\"Did I read on 2017/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/10\": {\"exercise\": {\"eid\": \"e10815\", \"logical_representation\": [\"2017/01/10\", \"biking\"], \"text_template_based\": \"I did biking on 2017/01/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10816\", \"logical_representation\": [\"2017/01/10\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had tacos for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/01/10?\", \"Kayden\"], [\"what did I eat for dinner on 2017/01/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10817\", \"logical_representation\": [\"2017/01/10\", \"Nora, Piper\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Nora, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the morning on 2017/01/10?\", \"52 minutes\"], [\"who did I talk to on 2017/01/10?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2017/01/10?\", \"yes\"], [\"Did I talk to anyone on 2017/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10818\", \"logical_representation\": [\"2017/01/10\", \"Rylee, Lydia, Eva, Layla\", \"in the early evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Rylee, Lydia, Eva, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Eva, Layla in the early evening on 2017/01/10?\", \"46 minutes\"], [\"who did I talk to on 2017/01/10?\", \"Rylee, Lydia, Eva, Layla\"], [\"Did I talk to Rylee, Lydia, Eva, Layla on 2017/01/10?\", \"yes\"], [\"Did I talk to anyone on 2017/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10819\", \"logical_representation\": [\"2017/01/10\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/01/10?\", \"15 minutes\"], [\"what did I read on 2017/01/10?\", \"a book\"], [\"Did I read on 2017/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10820\", \"logical_representation\": [\"2017/01/10\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/10?\", \"9 minutes\"], [\"what did I watch on tv on 2017/01/10?\", \"news\"], [\"Did I watch tv on 2017/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/11\": {\"lunch\": {\"eid\": \"e10821\", \"logical_representation\": [\"2017/01/11\", \"lunch\", \"indian food\", \"Jackson, Willow\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10822\", \"logical_representation\": [\"2017/01/11\", \"dinner\", \"indian food\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10823\", \"logical_representation\": [\"2017/01/11\", \"Kinsley, Layla, Eva, Rylee\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Kinsley, Layla, Eva, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Eva, Rylee in the late afternoon on 2017/01/11?\", \"33 minutes\"], [\"who did I talk to on 2017/01/11?\", \"Kinsley, Layla, Eva, Rylee\"], [\"Did I talk to Kinsley, Layla, Eva, Rylee on 2017/01/11?\", \"yes\"], [\"Did I talk to anyone on 2017/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10824\", \"logical_representation\": [\"2017/01/11\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/01/11?\", \"43 minutes\"], [\"what did I read on 2017/01/11?\", \"news\"], [\"Did I read on 2017/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/12\": {\"exercise\": {\"eid\": \"e10825\", \"logical_representation\": [\"2017/01/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/01/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10826\", \"logical_representation\": [\"2017/01/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/01/12?\", \"Kayden\"], [\"what did I eat for breakfast on 2017/01/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10827\", \"logical_representation\": [\"2017/01/12\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/01/12?\", \"42 minutes\"], [\"what did I read on 2017/01/12?\", \"social media\"], [\"Did I read on 2017/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10828\", \"logical_representation\": [\"2017/01/12\", \"news\", \"24 minutes\"], \"text_template_based\": \"I watched news for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/12?\", \"24 minutes\"], [\"what did I watch on tv on 2017/01/12?\", \"news\"], [\"Did I watch tv on 2017/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/15\": {\"exercise\": {\"eid\": \"e10836\", \"logical_representation\": [\"2017/01/15\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/01/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/15?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10837\", \"logical_representation\": [\"2017/01/15\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I watched a tv series for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/15?\", \"13 minutes\"], [\"what did I watch on tv on 2017/01/15?\", \"a tv series\"], [\"Did I watch tv on 2017/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/16\": {\"exercise\": {\"eid\": \"e10838\", \"logical_representation\": [\"2017/01/16\", \"running\"], \"text_template_based\": \"I did running on 2017/01/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10839\", \"logical_representation\": [\"2017/01/16\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/01/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10840\", \"logical_representation\": [\"2017/01/16\", \"lunch\", \"steak\", \"Nevaeh, Layla, Avery, Rylee, Piper, Olivia, Hazel\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10841\", \"logical_representation\": [\"2017/01/16\", \"dinner\", \"chinese food\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had chinese food for dinner with Jackson, Benjamin, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/01/16?\", \"Jackson, Benjamin, Avery, Willow\"], [\"what did I eat for dinner on 2017/01/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10842\", \"logical_representation\": [\"2017/01/16\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I watched a tv series for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/16?\", \"7 minutes\"], [\"what did I watch on tv on 2017/01/16?\", \"a tv series\"], [\"Did I watch tv on 2017/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/17\": {\"exercise\": {\"eid\": \"e10843\", \"logical_representation\": [\"2017/01/17\", \"running\"], \"text_template_based\": \"I did running on 2017/01/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10844\", \"logical_representation\": [\"2017/01/17\", \"lunch\", \"indian food\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had indian food for lunch with Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/01/17?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for lunch on 2017/01/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10845\", \"logical_representation\": [\"2017/01/17\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/17?\", \"19 minutes\"], [\"what did I watch on tv on 2017/01/17?\", \"news\"], [\"Did I watch tv on 2017/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/20\": {\"dinner\": {\"eid\": \"e10855\", \"logical_representation\": [\"2017/01/20\", \"dinner\", \"pasta\", \"Piper, Piper\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10856\", \"logical_representation\": [\"2017/01/20\", \"Hazel, Kinsley\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Hazel, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley during lunch hours on 2017/01/20?\", \"53 minutes\"], [\"who did I talk to on 2017/01/20?\", \"Hazel, Kinsley\"], [\"Did I talk to Hazel, Kinsley on 2017/01/20?\", \"yes\"], [\"Did I talk to anyone on 2017/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10857\", \"logical_representation\": [\"2017/01/20\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/01/20?\", \"25 minutes\"], [\"what did I read on 2017/01/20?\", \"a book\"], [\"Did I read on 2017/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/21\": {\"dinner\": {\"eid\": \"e10858\", \"logical_representation\": [\"2017/01/21\", \"dinner\", \"fish and chips\", \"Nora, Eva, Lydia, Claire, Avery, Piper, Kinsley, Nevaeh, Hazel, Rylee, Olivia, Layla\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10859\", \"logical_representation\": [\"2017/01/21\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/01/21?\", \"26 minutes\"], [\"what did I read on 2017/01/21?\", \"news\"], [\"Did I read on 2017/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/22\": {\"exercise\": {\"eid\": \"e10860\", \"logical_representation\": [\"2017/01/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/01/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10861\", \"logical_representation\": [\"2017/01/22\", \"breakfast\", \"pancakes\", \"Kayden, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/01/22?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2017/01/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10862\", \"logical_representation\": [\"2017/01/22\", \"dinner\", \"steak\", \"Nevaeh, Avery, Layla, Eva, Kinsley, Hazel, Lydia, Piper\"], \"text_template_based\": \"I had dinner with Nevaeh, Avery, Layla, Eva, Kinsley, Hazel, Lydia, Piper. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/01/22?\", \"Nevaeh, Avery, Layla, Eva, Kinsley, Hazel, Lydia, Piper\"], [\"what did I eat for dinner on 2017/01/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10863\", \"logical_representation\": [\"2017/01/22\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/01/22?\", \"11 minutes\"], [\"what did I read on 2017/01/22?\", \"a book\"], [\"Did I read on 2017/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10864\", \"logical_representation\": [\"2017/01/22\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/22?\", \"30 minutes\"], [\"what did I watch on tv on 2017/01/22?\", \"a documentary\"], [\"Did I watch tv on 2017/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/23\": {\"exercise\": {\"eid\": \"e10865\", \"logical_representation\": [\"2017/01/23\", \"biking\"], \"text_template_based\": \"I did biking on 2017/01/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/23?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10866\", \"logical_representation\": [\"2017/01/23\", \"dinner\", \"indian food\", \"Avery, Rylee, Nora, Kinsley, Nevaeh, Hazel, Layla, Piper\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10867\", \"logical_representation\": [\"2017/01/23\", \"Eva, Claire\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Eva, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire late in the evening on 2017/01/23?\", \"10 minutes\"], [\"who did I talk to on 2017/01/23?\", \"Eva, Claire\"], [\"Did I talk to Eva, Claire on 2017/01/23?\", \"yes\"], [\"Did I talk to anyone on 2017/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10868\", \"logical_representation\": [\"2017/01/23\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I watched a documentary for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/23?\", \"33 minutes\"], [\"what did I watch on tv on 2017/01/23?\", \"a documentary\"], [\"Did I watch tv on 2017/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/24\": {\"lunch\": {\"eid\": \"e10869\", \"logical_representation\": [\"2017/01/24\", \"lunch\", \"chinese food\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10870\", \"logical_representation\": [\"2017/01/24\", \"dinner\", \"fish and chips\", \"Benjamin, Avery\"], \"text_template_based\": \"I had fish and chips for dinner with Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/01/24?\", \"Benjamin, Avery\"], [\"what did I eat for dinner on 2017/01/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10871\", \"logical_representation\": [\"2017/01/24\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/01/24?\", \"39 minutes\"], [\"what did I read on 2017/01/24?\", \"a book\"], [\"Did I read on 2017/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10872\", \"logical_representation\": [\"2017/01/24\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I watched a tv series for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/24?\", \"8 minutes\"], [\"what did I watch on tv on 2017/01/24?\", \"a tv series\"], [\"Did I watch tv on 2017/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/27\": {\"exercise\": {\"eid\": \"e10879\", \"logical_representation\": [\"2017/01/27\", \"running\"], \"text_template_based\": \"I did running on 2017/01/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10880\", \"logical_representation\": [\"2017/01/27\", \"breakfast\", \"cereals\", \"Jackson, Avery\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/01/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10881\", \"logical_representation\": [\"2017/01/27\", \"lunch\", \"tacos\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Emily, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/01/27?\", \"Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2017/01/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10882\", \"logical_representation\": [\"2017/01/27\", \"dinner\", \"indian food\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10883\", \"logical_representation\": [\"2017/01/27\", \"Claire, Lydia, Rylee\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Claire, Lydia, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Rylee during lunch hours on 2017/01/27?\", \"21 minutes\"], [\"who did I talk to on 2017/01/27?\", \"Claire, Lydia, Rylee\"], [\"Did I talk to Claire, Lydia, Rylee on 2017/01/27?\", \"yes\"], [\"Did I talk to anyone on 2017/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10884\", \"logical_representation\": [\"2017/01/27\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/01/27?\", \"45 minutes\"], [\"what did I read on 2017/01/27?\", \"social media\"], [\"Did I read on 2017/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10885\", \"logical_representation\": [\"2017/01/27\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/27?\", \"41 minutes\"], [\"what did I watch on tv on 2017/01/27?\", \"a movie\"], [\"Did I watch tv on 2017/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/28\": {\"lunch\": {\"eid\": \"e10886\", \"logical_representation\": [\"2017/01/28\", \"lunch\", \"indian food\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10887\", \"logical_representation\": [\"2017/01/28\", \"Olivia, Eva, Hazel\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Olivia, Eva, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva, Hazel in the late afternoon on 2017/01/28?\", \"12 minutes\"], [\"who did I talk to on 2017/01/28?\", \"Olivia, Eva, Hazel\"], [\"Did I talk to Olivia, Eva, Hazel on 2017/01/28?\", \"yes\"], [\"Did I talk to anyone on 2017/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10888\", \"logical_representation\": [\"2017/01/28\", \"Nora, Eva, Nevaeh, Layla\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Nora, Eva, Nevaeh, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Nevaeh, Layla in the early afternoon on 2017/01/28?\", \"32 minutes\"], [\"who did I talk to on 2017/01/28?\", \"Nora, Eva, Nevaeh, Layla\"], [\"Did I talk to Nora, Eva, Nevaeh, Layla on 2017/01/28?\", \"yes\"], [\"Did I talk to anyone on 2017/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10889\", \"logical_representation\": [\"2017/01/28\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/01/28?\", \"28 minutes\"], [\"what did I read on 2017/01/28?\", \"a book\"], [\"Did I read on 2017/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10890\", \"logical_representation\": [\"2017/01/28\", \"a documentary\", \"24 minutes\"], \"text_template_based\": \"I watched a documentary for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/28?\", \"24 minutes\"], [\"what did I watch on tv on 2017/01/28?\", \"a documentary\"], [\"Did I watch tv on 2017/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/31\": {\"dinner\": {\"eid\": \"e10901\", \"logical_representation\": [\"2017/01/31\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/01/31?\", \"Kayden\"], [\"what did I eat for dinner on 2017/01/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10902\", \"logical_representation\": [\"2017/01/31\", \"Piper, Kinsley, Hazel\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Hazel for 43 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Hazel in the late afternoon on 2017/01/31?\", \"43 minutes\"], [\"who did I talk to on 2017/01/31?\", \"Piper, Kinsley, Hazel\"], [\"Did I talk to Piper, Kinsley, Hazel on 2017/01/31?\", \"yes\"], [\"Did I talk to anyone on 2017/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10903\", \"logical_representation\": [\"2017/01/31\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/01/31?\", \"34 minutes\"], [\"what did I read on 2017/01/31?\", \"news\"], [\"Did I read on 2017/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10904\", \"logical_representation\": [\"2017/01/31\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/31?\", \"14 minutes\"], [\"what did I watch on tv on 2017/01/31?\", \"a movie\"], [\"Did I watch tv on 2017/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/01\": {\"dinner\": {\"eid\": \"e10905\", \"logical_representation\": [\"2017/02/01\", \"dinner\", \"steak\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Emily, Andrew, Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/02/01?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2017/02/01\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2017/02/02\": {\"lunch\": {\"eid\": \"e10906\", \"logical_representation\": [\"2017/02/02\", \"lunch\", \"fish and chips\", \"Avery, Benjamin\"], \"text_template_based\": \"I had lunch with Avery, Benjamin. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/02/02?\", \"Avery, Benjamin\"], [\"what did I eat for lunch on 2017/02/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10907\", \"logical_representation\": [\"2017/02/02\", \"dinner\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/02/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10908\", \"logical_representation\": [\"2017/02/02\", \"Olivia, Layla, Eva\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Olivia, Layla, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Eva in the early afternoon on 2017/02/02?\", \"11 minutes\"], [\"who did I talk to on 2017/02/02?\", \"Olivia, Layla, Eva\"], [\"Did I talk to Olivia, Layla, Eva on 2017/02/02?\", \"yes\"], [\"Did I talk to anyone on 2017/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10909\", \"logical_representation\": [\"2017/02/02\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/02/02?\", \"54 minutes\"], [\"what did I read on 2017/02/02?\", \"news\"], [\"Did I read on 2017/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10910\", \"logical_representation\": [\"2017/02/02\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/02?\", \"47 minutes\"], [\"what did I watch on tv on 2017/02/02?\", \"a tv series\"], [\"Did I watch tv on 2017/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/03\": {\"breakfast\": {\"eid\": \"e10911\", \"logical_representation\": [\"2017/02/03\", \"breakfast\", \"cereals\", \"Andrew, Carter\"], \"text_template_based\": \"I had cereals for breakfast with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/02/03?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2017/02/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10912\", \"logical_representation\": [\"2017/02/03\", \"dinner\", \"indian food\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/02/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10913\", \"logical_representation\": [\"2017/02/03\", \"Nevaeh, Hazel, Nora\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Nevaeh, Hazel, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Nora during lunch hours on 2017/02/03?\", \"26 minutes\"], [\"who did I talk to on 2017/02/03?\", \"Nevaeh, Hazel, Nora\"], [\"Did I talk to Nevaeh, Hazel, Nora on 2017/02/03?\", \"yes\"], [\"Did I talk to anyone on 2017/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/06\": {\"exercise\": {\"eid\": \"e10922\", \"logical_representation\": [\"2017/02/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/02/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10923\", \"logical_representation\": [\"2017/02/06\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had breakfast with Avery, Jackson, Willow. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/02/06?\", \"Avery, Jackson, Willow\"], [\"what did I eat for breakfast on 2017/02/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10924\", \"logical_representation\": [\"2017/02/06\", \"lunch\", \"steak\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/02/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10925\", \"logical_representation\": [\"2017/02/06\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/02/06?\", \"10 minutes\"], [\"what did I read on 2017/02/06?\", \"a book\"], [\"Did I read on 2017/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/09\": {\"breakfast\": {\"eid\": \"e10934\", \"logical_representation\": [\"2017/02/09\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/09\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10935\", \"logical_representation\": [\"2017/02/09\", \"dinner\", \"a burger\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/02/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10936\", \"logical_representation\": [\"2017/02/09\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/09?\", \"54 minutes\"], [\"what did I watch on tv on 2017/02/09?\", \"a tv series\"], [\"Did I watch tv on 2017/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/10\": {\"breakfast\": {\"eid\": \"e10937\", \"logical_representation\": [\"2017/02/10\", \"breakfast\", \"cereals\", \"Andrew, Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/02/10?\", \"Andrew, Kayden\"], [\"what did I eat for breakfast on 2017/02/10\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10938\", \"logical_representation\": [\"2017/02/10\", \"lunch\", \"sandwich\", \"Nora, Avery, Piper, Kinsley, Olivia, Eva, Hazel, Piper, Rylee, Layla, Lydia\"], \"text_template_based\": \"I had sandwich for lunch with Nora, Avery, Piper, Kinsley, Olivia, Eva, Hazel, Piper, Rylee, Layla, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/02/10?\", \"Nora, Avery, Piper, Kinsley, Olivia, Eva, Hazel, Piper, Rylee, Layla, Lydia\"], [\"what did I eat for lunch on 2017/02/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10939\", \"logical_representation\": [\"2017/02/10\", \"dinner\", \"indian food\", \"Kinsley, Layla, Rylee, Avery, Eva, Piper\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/02/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10940\", \"logical_representation\": [\"2017/02/10\", \"a movie\", \"44 minutes\"], \"text_template_based\": \"I watched a movie for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/10?\", \"44 minutes\"], [\"what did I watch on tv on 2017/02/10?\", \"a movie\"], [\"Did I watch tv on 2017/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/11\": {\"breakfast\": {\"eid\": \"e10941\", \"logical_representation\": [\"2017/02/11\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Nora, Eva, Rylee, Nevaeh\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/11\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10942\", \"logical_representation\": [\"2017/02/11\", \"dinner\", \"pasta\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Kayden, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/02/11?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2017/02/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10943\", \"logical_representation\": [\"2017/02/11\", \"Avery, Nora\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Avery, Nora for 17 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora in the early evening on 2017/02/11?\", \"17 minutes\"], [\"who did I talk to on 2017/02/11?\", \"Avery, Nora\"], [\"Did I talk to Avery, Nora on 2017/02/11?\", \"yes\"], [\"Did I talk to anyone on 2017/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10944\", \"logical_representation\": [\"2017/02/11\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/02/11?\", \"33 minutes\"], [\"what did I read on 2017/02/11?\", \"news\"], [\"Did I read on 2017/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/13\": {\"exercise\": {\"eid\": \"e10949\", \"logical_representation\": [\"2017/02/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/02/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10950\", \"logical_representation\": [\"2017/02/13\", \"dinner\", \"a burger\", \"Avery, Jackson\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/02/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10951\", \"logical_representation\": [\"2017/02/13\", \"Olivia, Kinsley, Rylee, Eva\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Olivia, Kinsley, Rylee, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Rylee, Eva in the morning on 2017/02/13?\", \"30 minutes\"], [\"who did I talk to on 2017/02/13?\", \"Olivia, Kinsley, Rylee, Eva\"], [\"Did I talk to Olivia, Kinsley, Rylee, Eva on 2017/02/13?\", \"yes\"], [\"Did I talk to anyone on 2017/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/14\": {\"exercise\": {\"eid\": \"e10952\", \"logical_representation\": [\"2017/02/14\", \"running\"], \"text_template_based\": \"I did running on 2017/02/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10953\", \"logical_representation\": [\"2017/02/14\", \"breakfast\", \"cereals\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10954\", \"logical_representation\": [\"2017/02/14\", \"Layla, Hazel, Piper, Rylee\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Layla, Hazel, Piper, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Piper, Rylee in the late afternoon on 2017/02/14?\", \"34 minutes\"], [\"who did I talk to on 2017/02/14?\", \"Layla, Hazel, Piper, Rylee\"], [\"Did I talk to Layla, Hazel, Piper, Rylee on 2017/02/14?\", \"yes\"], [\"Did I talk to anyone on 2017/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e10955\", \"logical_representation\": [\"2017/02/14\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/02/14?\", \"23 minutes\"], [\"what did I read on 2017/02/14?\", \"social media\"], [\"Did I read on 2017/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10956\", \"logical_representation\": [\"2017/02/14\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/14?\", \"22 minutes\"], [\"what did I watch on tv on 2017/02/14?\", \"news\"], [\"Did I watch tv on 2017/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/15\": {\"chat0\": {\"eid\": \"e10957\", \"logical_representation\": [\"2017/02/15\", \"Eva\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2017/02/15?\", \"29 minutes\"], [\"who did I talk to on 2017/02/15?\", \"Eva\"], [\"Did I talk to Eva on 2017/02/15?\", \"yes\"], [\"Did I talk to anyone on 2017/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10958\", \"logical_representation\": [\"2017/02/15\", \"a tv series\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/15?\", \"30 minutes\"], [\"what did I watch on tv on 2017/02/15?\", \"a tv series\"], [\"Did I watch tv on 2017/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/16\": {\"exercise\": {\"eid\": \"e10959\", \"logical_representation\": [\"2017/02/16\", \"running\"], \"text_template_based\": \"I did running on 2017/02/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10960\", \"logical_representation\": [\"2017/02/16\", \"lunch\", \"sandwich\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/02/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10961\", \"logical_representation\": [\"2017/02/16\", \"dinner\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I had sandwich for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/02/16?\", \"Andrew\"], [\"what did I eat for dinner on 2017/02/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10962\", \"logical_representation\": [\"2017/02/16\", \"Olivia, Piper, Layla, Hazel\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Olivia, Piper, Layla, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Layla, Hazel in the early evening on 2017/02/16?\", \"20 minutes\"], [\"who did I talk to on 2017/02/16?\", \"Olivia, Piper, Layla, Hazel\"], [\"Did I talk to Olivia, Piper, Layla, Hazel on 2017/02/16?\", \"yes\"], [\"Did I talk to anyone on 2017/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10963\", \"logical_representation\": [\"2017/02/16\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/02/16?\", \"44 minutes\"], [\"what did I read on 2017/02/16?\", \"a book\"], [\"Did I read on 2017/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10964\", \"logical_representation\": [\"2017/02/16\", \"a documentary\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/16?\", \"34 minutes\"], [\"what did I watch on tv on 2017/02/16?\", \"a documentary\"], [\"Did I watch tv on 2017/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/18\": {\"exercise\": {\"eid\": \"e10968\", \"logical_representation\": [\"2017/02/18\", \"biking\"], \"text_template_based\": \"I did biking on 2017/02/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/18?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10969\", \"logical_representation\": [\"2017/02/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2017/02/19\": {\"exercise\": {\"eid\": \"e10970\", \"logical_representation\": [\"2017/02/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/02/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10971\", \"logical_representation\": [\"2017/02/19\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/02/19?\", \"53 minutes\"], [\"what did I read on 2017/02/19?\", \"a book\"], [\"Did I read on 2017/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10972\", \"logical_representation\": [\"2017/02/19\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I watched a movie for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/19?\", \"10 minutes\"], [\"what did I watch on tv on 2017/02/19?\", \"a movie\"], [\"Did I watch tv on 2017/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/21\": {\"exercise\": {\"eid\": \"e10978\", \"logical_representation\": [\"2017/02/21\", \"biking\"], \"text_template_based\": \"I did biking on 2017/02/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e10979\", \"logical_representation\": [\"2017/02/21\", \"breakfast\", \"toast and cheese\", \"Kinsley, Layla, Avery\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10980\", \"logical_representation\": [\"2017/02/21\", \"dinner\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/02/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10981\", \"logical_representation\": [\"2017/02/21\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/02/21?\", \"19 minutes\"], [\"what did I read on 2017/02/21?\", \"a book\"], [\"Did I read on 2017/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/22\": {\"breakfast\": {\"eid\": \"e10982\", \"logical_representation\": [\"2017/02/22\", \"breakfast\", \"cereals\", \"Piper, Nora\"], \"text_template_based\": \"I had cereals for breakfast with Piper, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/02/22?\", \"Piper, Nora\"], [\"what did I eat for breakfast on 2017/02/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10983\", \"logical_representation\": [\"2017/02/22\", \"lunch\", \"pasta\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had pasta for lunch with Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/02/22?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for lunch on 2017/02/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10984\", \"logical_representation\": [\"2017/02/22\", \"dinner\", \"fish and chips\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Carter, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/02/22?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2017/02/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10985\", \"logical_representation\": [\"2017/02/22\", \"Nora\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2017/02/22?\", \"9 minutes\"], [\"who did I talk to on 2017/02/22?\", \"Nora\"], [\"Did I talk to Nora on 2017/02/22?\", \"yes\"], [\"Did I talk to anyone on 2017/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10986\", \"logical_representation\": [\"2017/02/22\", \"Hazel\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2017/02/22?\", \"54 minutes\"], [\"who did I talk to on 2017/02/22?\", \"Hazel\"], [\"Did I talk to Hazel on 2017/02/22?\", \"yes\"], [\"Did I talk to anyone on 2017/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e10987\", \"logical_representation\": [\"2017/02/22\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/22?\", \"51 minutes\"], [\"what did I watch on tv on 2017/02/22?\", \"news\"], [\"Did I watch tv on 2017/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/23\": {\"breakfast\": {\"eid\": \"e10988\", \"logical_representation\": [\"2017/02/23\", \"breakfast\", \"cereals\", \"Olivia, Nevaeh, Kinsley, Nora, Piper, Claire, Rylee, Piper, Layla, Hazel, Avery\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10989\", \"logical_representation\": [\"2017/02/23\", \"dinner\", \"pasta\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Emily, Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/02/23?\", \"Carter, Emily, Kayden\"], [\"what did I eat for dinner on 2017/02/23\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2017/02/25\": {\"exercise\": {\"eid\": \"e10991\", \"logical_representation\": [\"2017/02/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/02/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e10992\", \"logical_representation\": [\"2017/02/25\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/02/25?\", \"18 minutes\"], [\"what did I read on 2017/02/25?\", \"a book\"], [\"Did I read on 2017/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/26\": {\"lunch\": {\"eid\": \"e10993\", \"logical_representation\": [\"2017/02/26\", \"lunch\", \"chinese food\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Carter, Andrew. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/02/26?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2017/02/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e10994\", \"logical_representation\": [\"2017/02/26\", \"dinner\", \"steak\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had steak for dinner with Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/02/26?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2017/02/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e10995\", \"logical_representation\": [\"2017/02/26\", \"Eva, Hazel, Nevaeh\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel, Nevaeh for 54 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Nevaeh in the early afternoon on 2017/02/26?\", \"54 minutes\"], [\"who did I talk to on 2017/02/26?\", \"Eva, Hazel, Nevaeh\"], [\"Did I talk to Eva, Hazel, Nevaeh on 2017/02/26?\", \"yes\"], [\"Did I talk to anyone on 2017/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/27\": {\"breakfast\": {\"eid\": \"e10996\", \"logical_representation\": [\"2017/02/27\", \"breakfast\", \"oatmeal\", \"Carter, Emily\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e10997\", \"logical_representation\": [\"2017/02/27\", \"lunch\", \"chinese food\", \"Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/02/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e10998\", \"logical_representation\": [\"2017/02/27\", \"Piper, Nevaeh, Avery\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Piper, Nevaeh, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Avery in the late afternoon on 2017/02/27?\", \"17 minutes\"], [\"who did I talk to on 2017/02/27?\", \"Piper, Nevaeh, Avery\"], [\"Did I talk to Piper, Nevaeh, Avery on 2017/02/27?\", \"yes\"], [\"Did I talk to anyone on 2017/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/28\": {\"lunch\": {\"eid\": \"e10999\", \"logical_representation\": [\"2017/02/28\", \"lunch\", \"pasta\", \"Jackson, Avery\"], \"text_template_based\": \"I had pasta for lunch with Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/02/28?\", \"Jackson, Avery\"], [\"what did I eat for lunch on 2017/02/28\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11000\", \"logical_representation\": [\"2017/02/28\", \"Eva, Nora\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I talked to Eva, Nora for 9 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora during lunch hours on 2017/02/28?\", \"9 minutes\"], [\"who did I talk to on 2017/02/28?\", \"Eva, Nora\"], [\"Did I talk to Eva, Nora on 2017/02/28?\", \"yes\"], [\"Did I talk to anyone on 2017/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/01\": {\"exercise\": {\"eid\": \"e11001\", \"logical_representation\": [\"2017/03/01\", \"running\"], \"text_template_based\": \"I did running on 2017/03/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11002\", \"logical_representation\": [\"2017/03/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Hazel, Olivia\"], \"text_template_based\": \"I had breakfast with Nevaeh, Hazel, Olivia. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/03/01?\", \"Nevaeh, Hazel, Olivia\"], [\"what did I eat for breakfast on 2017/03/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11003\", \"logical_representation\": [\"2017/03/01\", \"Nora, Lydia\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Nora, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia in the early afternoon on 2017/03/01?\", \"22 minutes\"], [\"who did I talk to on 2017/03/01?\", \"Nora, Lydia\"], [\"Did I talk to Nora, Lydia on 2017/03/01?\", \"yes\"], [\"Did I talk to anyone on 2017/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11004\", \"logical_representation\": [\"2017/03/01\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/01?\", \"48 minutes\"], [\"what did I watch on tv on 2017/03/01?\", \"a movie\"], [\"Did I watch tv on 2017/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/02\": {\"exercise\": {\"eid\": \"e11005\", \"logical_representation\": [\"2017/03/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/03/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11006\", \"logical_representation\": [\"2017/03/02\", \"breakfast\", \"cereals\", \"Olivia, Piper, Piper, Lydia, Claire, Hazel, Avery\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11007\", \"logical_representation\": [\"2017/03/02\", \"lunch\", \"indian food\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/03/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11008\", \"logical_representation\": [\"2017/03/02\", \"dinner\", \"tacos\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11009\", \"logical_representation\": [\"2017/03/02\", \"Avery, Claire\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I talked to Avery, Claire for 44 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire in the early afternoon on 2017/03/02?\", \"44 minutes\"], [\"who did I talk to on 2017/03/02?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2017/03/02?\", \"yes\"], [\"Did I talk to anyone on 2017/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11010\", \"logical_representation\": [\"2017/03/02\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I watched a movie for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/02?\", \"10 minutes\"], [\"what did I watch on tv on 2017/03/02?\", \"a movie\"], [\"Did I watch tv on 2017/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/04\": {\"lunch\": {\"eid\": \"e11013\", \"logical_representation\": [\"2017/03/04\", \"lunch\", \"a burger\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/03/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11014\", \"logical_representation\": [\"2017/03/04\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I watched a documentary for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/04?\", \"13 minutes\"], [\"what did I watch on tv on 2017/03/04?\", \"a documentary\"], [\"Did I watch tv on 2017/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/05\": {\"breakfast\": {\"eid\": \"e11015\", \"logical_representation\": [\"2017/03/05\", \"breakfast\", \"cereals\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/05\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11016\", \"logical_representation\": [\"2017/03/05\", \"Lydia, Nevaeh, Avery\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Lydia, Nevaeh, Avery for 32 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Avery in the early afternoon on 2017/03/05?\", \"32 minutes\"], [\"who did I talk to on 2017/03/05?\", \"Lydia, Nevaeh, Avery\"], [\"Did I talk to Lydia, Nevaeh, Avery on 2017/03/05?\", \"yes\"], [\"Did I talk to anyone on 2017/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11017\", \"logical_representation\": [\"2017/03/05\", \"Eva, Avery, Hazel, Claire\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Eva, Avery, Hazel, Claire for 24 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Hazel, Claire in the early evening on 2017/03/05?\", \"24 minutes\"], [\"who did I talk to on 2017/03/05?\", \"Eva, Avery, Hazel, Claire\"], [\"Did I talk to Eva, Avery, Hazel, Claire on 2017/03/05?\", \"yes\"], [\"Did I talk to anyone on 2017/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11018\", \"logical_representation\": [\"2017/03/05\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/03/05?\", \"12 minutes\"], [\"what did I read on 2017/03/05?\", \"social media\"], [\"Did I read on 2017/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/07\": {\"breakfast\": {\"eid\": \"e11025\", \"logical_representation\": [\"2017/03/07\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Rylee, Kinsley, Lydia, Hazel, Piper, Nevaeh, Eva, Layla, Nora\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11026\", \"logical_representation\": [\"2017/03/07\", \"dinner\", \"tacos\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11027\", \"logical_representation\": [\"2017/03/07\", \"Rylee, Claire, Lydia\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Rylee, Claire, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Lydia late in the evening on 2017/03/07?\", \"31 minutes\"], [\"who did I talk to on 2017/03/07?\", \"Rylee, Claire, Lydia\"], [\"Did I talk to Rylee, Claire, Lydia on 2017/03/07?\", \"yes\"], [\"Did I talk to anyone on 2017/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/09\": {\"exercise\": {\"eid\": \"e11033\", \"logical_representation\": [\"2017/03/09\", \"biking\"], \"text_template_based\": \"I did biking on 2017/03/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11034\", \"logical_representation\": [\"2017/03/09\", \"Eva, Layla\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Eva, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla during lunch hours on 2017/03/09?\", \"23 minutes\"], [\"who did I talk to on 2017/03/09?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2017/03/09?\", \"yes\"], [\"Did I talk to anyone on 2017/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/11\": {\"exercise\": {\"eid\": \"e11040\", \"logical_representation\": [\"2017/03/11\", \"biking\"], \"text_template_based\": \"I did biking on 2017/03/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11041\", \"logical_representation\": [\"2017/03/11\", \"breakfast\", \"cereals\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/11\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11042\", \"logical_representation\": [\"2017/03/11\", \"Kinsley, Nevaeh\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh for 9 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh in the morning on 2017/03/11?\", \"9 minutes\"], [\"who did I talk to on 2017/03/11?\", \"Kinsley, Nevaeh\"], [\"Did I talk to Kinsley, Nevaeh on 2017/03/11?\", \"yes\"], [\"Did I talk to anyone on 2017/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11043\", \"logical_representation\": [\"2017/03/11\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/03/11?\", \"5 minutes\"], [\"what did I read on 2017/03/11?\", \"a book\"], [\"Did I read on 2017/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11044\", \"logical_representation\": [\"2017/03/11\", \"news\", \"7 minutes\"], \"text_template_based\": \"I watched news for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/11?\", \"7 minutes\"], [\"what did I watch on tv on 2017/03/11?\", \"news\"], [\"Did I watch tv on 2017/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/12\": {\"exercise\": {\"eid\": \"e11045\", \"logical_representation\": [\"2017/03/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/03/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11046\", \"logical_representation\": [\"2017/03/12\", \"breakfast\", \"pancakes\", \"Hazel, Nevaeh, Olivia, Kinsley, Lydia, Nora, Avery, Piper, Piper\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11047\", \"logical_representation\": [\"2017/03/12\", \"lunch\", \"indian food\", \"Rylee, Eva\"], \"text_template_based\": \"I had lunch with Rylee, Eva. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/03/12?\", \"Rylee, Eva\"], [\"what did I eat for lunch on 2017/03/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11048\", \"logical_representation\": [\"2017/03/12\", \"Rylee, Olivia, Kinsley, Claire\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Rylee, Olivia, Kinsley, Claire for 55 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia, Kinsley, Claire late in the evening on 2017/03/12?\", \"55 minutes\"], [\"who did I talk to on 2017/03/12?\", \"Rylee, Olivia, Kinsley, Claire\"], [\"Did I talk to Rylee, Olivia, Kinsley, Claire on 2017/03/12?\", \"yes\"], [\"Did I talk to anyone on 2017/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/13\": {\"breakfast\": {\"eid\": \"e11049\", \"logical_representation\": [\"2017/03/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11050\", \"logical_representation\": [\"2017/03/13\", \"lunch\", \"steak\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/03/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11051\", \"logical_representation\": [\"2017/03/13\", \"dinner\", \"chinese food\", \"Willow\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11052\", \"logical_representation\": [\"2017/03/13\", \"Piper, Nevaeh, Kinsley\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Piper, Nevaeh, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Kinsley in the early afternoon on 2017/03/13?\", \"54 minutes\"], [\"who did I talk to on 2017/03/13?\", \"Piper, Nevaeh, Kinsley\"], [\"Did I talk to Piper, Nevaeh, Kinsley on 2017/03/13?\", \"yes\"], [\"Did I talk to anyone on 2017/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/14\": {\"dinner\": {\"eid\": \"e11053\", \"logical_representation\": [\"2017/03/14\", \"dinner\", \"pasta\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had pasta for dinner with Emily, Carter, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/03/14?\", \"Emily, Carter, Andrew, Kayden\"], [\"what did I eat for dinner on 2017/03/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11054\", \"logical_representation\": [\"2017/03/14\", \"Kinsley, Rylee, Avery, Nora\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Kinsley, Rylee, Avery, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Avery, Nora in the morning on 2017/03/14?\", \"40 minutes\"], [\"who did I talk to on 2017/03/14?\", \"Kinsley, Rylee, Avery, Nora\"], [\"Did I talk to Kinsley, Rylee, Avery, Nora on 2017/03/14?\", \"yes\"], [\"Did I talk to anyone on 2017/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11055\", \"logical_representation\": [\"2017/03/14\", \"Piper, Nevaeh\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh for 12 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh in the early afternoon on 2017/03/14?\", \"12 minutes\"], [\"who did I talk to on 2017/03/14?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2017/03/14?\", \"yes\"], [\"Did I talk to anyone on 2017/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11056\", \"logical_representation\": [\"2017/03/14\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/03/14?\", \"37 minutes\"], [\"what did I read on 2017/03/14?\", \"social media\"], [\"Did I read on 2017/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/17\": {\"exercise\": {\"eid\": \"e11064\", \"logical_representation\": [\"2017/03/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/03/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11065\", \"logical_representation\": [\"2017/03/17\", \"dinner\", \"sushi\", \"Avery, Rylee, Nora, Hazel, Lydia\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11066\", \"logical_representation\": [\"2017/03/17\", \"Layla\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the late afternoon on 2017/03/17?\", \"7 minutes\"], [\"who did I talk to on 2017/03/17?\", \"Layla\"], [\"Did I talk to Layla on 2017/03/17?\", \"yes\"], [\"Did I talk to anyone on 2017/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11067\", \"logical_representation\": [\"2017/03/17\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/03/17?\", \"19 minutes\"], [\"what did I read on 2017/03/17?\", \"a book\"], [\"Did I read on 2017/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11068\", \"logical_representation\": [\"2017/03/17\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/17?\", \"7 minutes\"], [\"what did I watch on tv on 2017/03/17?\", \"a movie\"], [\"Did I watch tv on 2017/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/19\": {\"breakfast\": {\"eid\": \"e11074\", \"logical_representation\": [\"2017/03/19\", \"breakfast\", \"toast and cheese\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11075\", \"logical_representation\": [\"2017/03/19\", \"dinner\", \"sandwich\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11076\", \"logical_representation\": [\"2017/03/19\", \"Nevaeh, Claire, Avery, Olivia\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Claire, Avery, Olivia for 42 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire, Avery, Olivia in the late afternoon on 2017/03/19?\", \"42 minutes\"], [\"who did I talk to on 2017/03/19?\", \"Nevaeh, Claire, Avery, Olivia\"], [\"Did I talk to Nevaeh, Claire, Avery, Olivia on 2017/03/19?\", \"yes\"], [\"Did I talk to anyone on 2017/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/20\": {\"exercise\": {\"eid\": \"e11077\", \"logical_representation\": [\"2017/03/20\", \"biking\"], \"text_template_based\": \"I did biking on 2017/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11078\", \"logical_representation\": [\"2017/03/20\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/20?\", \"15 minutes\"], [\"what did I watch on tv on 2017/03/20?\", \"news\"], [\"Did I watch tv on 2017/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/22\": {\"watch tv\": {\"eid\": \"e11082\", \"logical_representation\": [\"2017/03/22\", \"a movie\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/22?\", \"42 minutes\"], [\"what did I watch on tv on 2017/03/22?\", \"a movie\"], [\"Did I watch tv on 2017/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/24\": {\"breakfast\": {\"eid\": \"e11088\", \"logical_representation\": [\"2017/03/24\", \"breakfast\", \"pancakes\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11089\", \"logical_representation\": [\"2017/03/24\", \"dinner\", \"tacos\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Emily, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/03/24?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2017/03/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11090\", \"logical_representation\": [\"2017/03/24\", \"Nevaeh, Avery\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Avery for 31 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery late in the evening on 2017/03/24?\", \"31 minutes\"], [\"who did I talk to on 2017/03/24?\", \"Nevaeh, Avery\"], [\"Did I talk to Nevaeh, Avery on 2017/03/24?\", \"yes\"], [\"Did I talk to anyone on 2017/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11091\", \"logical_representation\": [\"2017/03/24\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I watched a tv series for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/24?\", \"12 minutes\"], [\"what did I watch on tv on 2017/03/24?\", \"a tv series\"], [\"Did I watch tv on 2017/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/25\": {\"lunch\": {\"eid\": \"e11092\", \"logical_representation\": [\"2017/03/25\", \"lunch\", \"steak\", \"Willow\"], \"text_template_based\": \"I had steak for lunch with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/03/25?\", \"Willow\"], [\"what did I eat for lunch on 2017/03/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11093\", \"logical_representation\": [\"2017/03/25\", \"dinner\", \"fish and chips\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had fish and chips for dinner with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/03/25?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2017/03/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2017/03/26\": {\"exercise\": {\"eid\": \"e11094\", \"logical_representation\": [\"2017/03/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/03/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11095\", \"logical_representation\": [\"2017/03/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Olivia\"], \"text_template_based\": \"I had breakfast with Claire, Olivia. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/03/26?\", \"Claire, Olivia\"], [\"what did I eat for breakfast on 2017/03/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11096\", \"logical_representation\": [\"2017/03/26\", \"lunch\", \"steak\", \"Kinsley, Claire, Lydia, Hazel, Olivia\"], \"text_template_based\": \"I had steak for lunch with Kinsley, Claire, Lydia, Hazel, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/03/26?\", \"Kinsley, Claire, Lydia, Hazel, Olivia\"], [\"what did I eat for lunch on 2017/03/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11097\", \"logical_representation\": [\"2017/03/26\", \"Eva, Piper, Nevaeh, Olivia\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Eva, Piper, Nevaeh, Olivia for 35 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Nevaeh, Olivia in the early evening on 2017/03/26?\", \"35 minutes\"], [\"who did I talk to on 2017/03/26?\", \"Eva, Piper, Nevaeh, Olivia\"], [\"Did I talk to Eva, Piper, Nevaeh, Olivia on 2017/03/26?\", \"yes\"], [\"Did I talk to anyone on 2017/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11098\", \"logical_representation\": [\"2017/03/26\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/03/26?\", \"13 minutes\"], [\"what did I read on 2017/03/26?\", \"news\"], [\"Did I read on 2017/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/27\": {\"breakfast\": {\"eid\": \"e11099\", \"logical_representation\": [\"2017/03/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee, Nora, Kinsley, Layla\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Rylee, Nora, Kinsley, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/03/27?\", \"Rylee, Nora, Kinsley, Layla\"], [\"what did I eat for breakfast on 2017/03/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11100\", \"logical_representation\": [\"2017/03/27\", \"dinner\", \"steak\", \"Eva, Nora, Kinsley, Hazel, Piper, Avery, Piper, Lydia, Claire, Olivia, Nevaeh, Layla, Rylee\"], \"text_template_based\": \"I had steak for dinner with Eva, Nora, Kinsley, Hazel, Piper, Avery, Piper, Lydia, Claire, Olivia, Nevaeh, Layla, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/03/27?\", \"Eva, Nora, Kinsley, Hazel, Piper, Avery, Piper, Lydia, Claire, Olivia, Nevaeh, Layla, Rylee\"], [\"what did I eat for dinner on 2017/03/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11101\", \"logical_representation\": [\"2017/03/27\", \"Hazel, Layla\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I talked to Hazel, Layla for 33 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla during lunch hours on 2017/03/27?\", \"33 minutes\"], [\"who did I talk to on 2017/03/27?\", \"Hazel, Layla\"], [\"Did I talk to Hazel, Layla on 2017/03/27?\", \"yes\"], [\"Did I talk to anyone on 2017/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11102\", \"logical_representation\": [\"2017/03/27\", \"Claire, Layla\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Claire, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla in the early evening on 2017/03/27?\", \"27 minutes\"], [\"who did I talk to on 2017/03/27?\", \"Claire, Layla\"], [\"Did I talk to Claire, Layla on 2017/03/27?\", \"yes\"], [\"Did I talk to anyone on 2017/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11103\", \"logical_representation\": [\"2017/03/27\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/03/27?\", \"46 minutes\"], [\"what did I read on 2017/03/27?\", \"a book\"], [\"Did I read on 2017/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11104\", \"logical_representation\": [\"2017/03/27\", \"news\", \"25 minutes\"], \"text_template_based\": \"I watched news for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/27?\", \"25 minutes\"], [\"what did I watch on tv on 2017/03/27?\", \"news\"], [\"Did I watch tv on 2017/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/29\": {\"dinner\": {\"eid\": \"e11109\", \"logical_representation\": [\"2017/03/29\", \"dinner\", \"indian food\", \"Rylee, Nevaeh\"], \"text_template_based\": \"I had dinner with Rylee, Nevaeh. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/03/29?\", \"Rylee, Nevaeh\"], [\"what did I eat for dinner on 2017/03/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11110\", \"logical_representation\": [\"2017/03/29\", \"Kinsley, Piper\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper for 9 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the morning on 2017/03/29?\", \"9 minutes\"], [\"who did I talk to on 2017/03/29?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2017/03/29?\", \"yes\"], [\"Did I talk to anyone on 2017/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11111\", \"logical_representation\": [\"2017/03/29\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/03/29?\", \"32 minutes\"], [\"what did I read on 2017/03/29?\", \"a book\"], [\"Did I read on 2017/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/31\": {\"exercise\": {\"eid\": \"e11118\", \"logical_representation\": [\"2017/03/31\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/03/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/31?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11119\", \"logical_representation\": [\"2017/03/31\", \"dinner\", \"steak\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11120\", \"logical_representation\": [\"2017/03/31\", \"Piper\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2017/03/31?\", \"33 minutes\"], [\"who did I talk to on 2017/03/31?\", \"Piper\"], [\"Did I talk to Piper on 2017/03/31?\", \"yes\"], [\"Did I talk to anyone on 2017/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/01\": {\"exercise\": {\"eid\": \"e11121\", \"logical_representation\": [\"2017/04/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/04/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11122\", \"logical_representation\": [\"2017/04/01\", \"lunch\", \"a burger\", \"Emily, Andrew\"], \"text_template_based\": \"I had a burger for lunch with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/04/01?\", \"Emily, Andrew\"], [\"what did I eat for lunch on 2017/04/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11123\", \"logical_representation\": [\"2017/04/01\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/04/01?\", \"35 minutes\"], [\"what did I read on 2017/04/01?\", \"social media\"], [\"Did I read on 2017/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11124\", \"logical_representation\": [\"2017/04/01\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/01?\", \"8 minutes\"], [\"what did I watch on tv on 2017/04/01?\", \"a tv series\"], [\"Did I watch tv on 2017/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/02\": {\"exercise\": {\"eid\": \"e11125\", \"logical_representation\": [\"2017/04/02\", \"running\"], \"text_template_based\": \"I did running on 2017/04/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11126\", \"logical_representation\": [\"2017/04/02\", \"breakfast\", \"toast and cheese\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/04/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11127\", \"logical_representation\": [\"2017/04/02\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/02?\", \"16 minutes\"], [\"what did I watch on tv on 2017/04/02?\", \"news\"], [\"Did I watch tv on 2017/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/03\": {\"lunch\": {\"eid\": \"e11128\", \"logical_representation\": [\"2017/04/03\", \"lunch\", \"chinese food\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Carter, Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/04/03?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for lunch on 2017/04/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11129\", \"logical_representation\": [\"2017/04/03\", \"dinner\", \"sandwich\", \"Layla, Claire, Nora, Eva, Rylee, Hazel, Piper, Piper, Olivia, Kinsley, Lydia, Avery, Nevaeh\"], \"text_template_based\": \"I had sandwich for dinner with Layla, Claire, Nora, Eva, Rylee, Hazel, Piper, Piper, Olivia, Kinsley, Lydia, Avery, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/04/03?\", \"Layla, Claire, Nora, Eva, Rylee, Hazel, Piper, Piper, Olivia, Kinsley, Lydia, Avery, Nevaeh\"], [\"what did I eat for dinner on 2017/04/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11130\", \"logical_representation\": [\"2017/04/03\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/04/03?\", \"52 minutes\"], [\"what did I read on 2017/04/03?\", \"social media\"], [\"Did I read on 2017/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/06\": {\"exercise\": {\"eid\": \"e11139\", \"logical_representation\": [\"2017/04/06\", \"running\"], \"text_template_based\": \"I did running on 2017/04/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/06?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11140\", \"logical_representation\": [\"2017/04/06\", \"breakfast\", \"oatmeal\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/04/06\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11141\", \"logical_representation\": [\"2017/04/06\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/04/06?\", \"53 minutes\"], [\"what did I read on 2017/04/06?\", \"social media\"], [\"Did I read on 2017/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/07\": {\"exercise\": {\"eid\": \"e11142\", \"logical_representation\": [\"2017/04/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/04/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11143\", \"logical_representation\": [\"2017/04/07\", \"dinner\", \"indian food\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/04/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11144\", \"logical_representation\": [\"2017/04/07\", \"Olivia, Claire\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Olivia, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire in the late afternoon on 2017/04/07?\", \"53 minutes\"], [\"who did I talk to on 2017/04/07?\", \"Olivia, Claire\"], [\"Did I talk to Olivia, Claire on 2017/04/07?\", \"yes\"], [\"Did I talk to anyone on 2017/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/10\": {\"chat0\": {\"eid\": \"e11150\", \"logical_representation\": [\"2017/04/10\", \"Piper\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2017/04/10?\", \"20 minutes\"], [\"who did I talk to on 2017/04/10?\", \"Piper\"], [\"Did I talk to Piper on 2017/04/10?\", \"yes\"], [\"Did I talk to anyone on 2017/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11151\", \"logical_representation\": [\"2017/04/10\", \"Eva, Piper\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Eva, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper late in the evening on 2017/04/10?\", \"6 minutes\"], [\"who did I talk to on 2017/04/10?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2017/04/10?\", \"yes\"], [\"Did I talk to anyone on 2017/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11152\", \"logical_representation\": [\"2017/04/10\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/04/10?\", \"19 minutes\"], [\"what did I read on 2017/04/10?\", \"social media\"], [\"Did I read on 2017/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/11\": {\"breakfast\": {\"eid\": \"e11153\", \"logical_representation\": [\"2017/04/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/04/11?\", \"Benjamin\"], [\"what did I eat for breakfast on 2017/04/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11154\", \"logical_representation\": [\"2017/04/11\", \"lunch\", \"chinese food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/04/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11155\", \"logical_representation\": [\"2017/04/11\", \"Avery\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Avery for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2017/04/11?\", \"43 minutes\"], [\"who did I talk to on 2017/04/11?\", \"Avery\"], [\"Did I talk to Avery on 2017/04/11?\", \"yes\"], [\"Did I talk to anyone on 2017/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11156\", \"logical_representation\": [\"2017/04/11\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/04/11?\", \"9 minutes\"], [\"what did I read on 2017/04/11?\", \"a book\"], [\"Did I read on 2017/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/12\": {\"exercise\": {\"eid\": \"e11157\", \"logical_representation\": [\"2017/04/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/04/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11158\", \"logical_representation\": [\"2017/04/12\", \"breakfast\", \"cereals\", \"Carter, Emily\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/04/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11159\", \"logical_representation\": [\"2017/04/12\", \"dinner\", \"pasta\", \"Rylee, Lydia, Claire, Hazel, Piper, Nora, Nevaeh, Kinsley, Avery, Olivia, Layla, Piper, Eva\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/04/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11160\", \"logical_representation\": [\"2017/04/12\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/04/12?\", \"53 minutes\"], [\"what did I read on 2017/04/12?\", \"social media\"], [\"Did I read on 2017/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/13\": {\"breakfast\": {\"eid\": \"e11161\", \"logical_representation\": [\"2017/04/13\", \"breakfast\", \"cereals\", \"Nora, Lydia, Nevaeh, Eva, Claire, Kinsley, Piper, Rylee, Hazel\"], \"text_template_based\": \"I had breakfast with Nora, Lydia, Nevaeh, Eva, Claire, Kinsley, Piper, Rylee, Hazel. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/04/13?\", \"Nora, Lydia, Nevaeh, Eva, Claire, Kinsley, Piper, Rylee, Hazel\"], [\"what did I eat for breakfast on 2017/04/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11162\", \"logical_representation\": [\"2017/04/13\", \"lunch\", \"indian food\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/04/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11163\", \"logical_representation\": [\"2017/04/13\", \"Rylee, Olivia\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Rylee, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia in the early evening on 2017/04/13?\", \"39 minutes\"], [\"who did I talk to on 2017/04/13?\", \"Rylee, Olivia\"], [\"Did I talk to Rylee, Olivia on 2017/04/13?\", \"yes\"], [\"Did I talk to anyone on 2017/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11164\", \"logical_representation\": [\"2017/04/13\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/04/13?\", \"8 minutes\"], [\"what did I read on 2017/04/13?\", \"social media\"], [\"Did I read on 2017/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11165\", \"logical_representation\": [\"2017/04/13\", \"a documentary\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/13?\", \"8 minutes\"], [\"what did I watch on tv on 2017/04/13?\", \"a documentary\"], [\"Did I watch tv on 2017/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/15\": {\"dinner\": {\"eid\": \"e11171\", \"logical_representation\": [\"2017/04/15\", \"dinner\", \"pasta\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/04/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11172\", \"logical_representation\": [\"2017/04/15\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/04/15?\", \"52 minutes\"], [\"what did I read on 2017/04/15?\", \"news\"], [\"Did I read on 2017/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11173\", \"logical_representation\": [\"2017/04/15\", \"a documentary\", \"31 minutes\"], \"text_template_based\": \"I watched a documentary for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/15?\", \"31 minutes\"], [\"what did I watch on tv on 2017/04/15?\", \"a documentary\"], [\"Did I watch tv on 2017/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/16\": {\"exercise\": {\"eid\": \"e11174\", \"logical_representation\": [\"2017/04/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/04/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11175\", \"logical_representation\": [\"2017/04/16\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/04/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11176\", \"logical_representation\": [\"2017/04/16\", \"dinner\", \"a burger\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had dinner with Avery, Benjamin, Jackson. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/04/16?\", \"Avery, Benjamin, Jackson\"], [\"what did I eat for dinner on 2017/04/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11177\", \"logical_representation\": [\"2017/04/16\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/04/16?\", \"14 minutes\"], [\"what did I read on 2017/04/16?\", \"news\"], [\"Did I read on 2017/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/18\": {\"dinner\": {\"eid\": \"e11183\", \"logical_representation\": [\"2017/04/18\", \"dinner\", \"sushi\", \"Lydia, Kinsley, Hazel\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/04/18\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2017/04/19\": {\"breakfast\": {\"eid\": \"e11184\", \"logical_representation\": [\"2017/04/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Olivia, Claire, Lydia, Nevaeh, Layla, Nora, Eva, Avery, Kinsley\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/04/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11185\", \"logical_representation\": [\"2017/04/19\", \"lunch\", \"sandwich\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had lunch with Jackson, Benjamin. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/04/19?\", \"Jackson, Benjamin\"], [\"what did I eat for lunch on 2017/04/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11186\", \"logical_representation\": [\"2017/04/19\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/19?\", \"51 minutes\"], [\"what did I watch on tv on 2017/04/19?\", \"news\"], [\"Did I watch tv on 2017/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/20\": {\"exercise\": {\"eid\": \"e11187\", \"logical_representation\": [\"2017/04/20\", \"biking\"], \"text_template_based\": \"I did biking on 2017/04/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11188\", \"logical_representation\": [\"2017/04/20\", \"breakfast\", \"cereals\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had cereals for breakfast with Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/04/20?\", \"Andrew, Emily, Carter\"], [\"what did I eat for breakfast on 2017/04/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11189\", \"logical_representation\": [\"2017/04/20\", \"lunch\", \"a burger\", \"Avery, Lydia, Nora, Nevaeh, Kinsley\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/04/20\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2017/04/21\": {\"exercise\": {\"eid\": \"e11190\", \"logical_representation\": [\"2017/04/21\", \"running\"], \"text_template_based\": \"I did running on 2017/04/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11191\", \"logical_representation\": [\"2017/04/21\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/04/21?\", \"Emily\"], [\"what did I eat for lunch on 2017/04/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11192\", \"logical_representation\": [\"2017/04/21\", \"dinner\", \"steak\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had dinner with Willow, Jackson, Benjamin. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/04/21?\", \"Willow, Jackson, Benjamin\"], [\"what did I eat for dinner on 2017/04/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11193\", \"logical_representation\": [\"2017/04/21\", \"Lydia, Nevaeh\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Lydia, Nevaeh for 37 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh in the early evening on 2017/04/21?\", \"37 minutes\"], [\"who did I talk to on 2017/04/21?\", \"Lydia, Nevaeh\"], [\"Did I talk to Lydia, Nevaeh on 2017/04/21?\", \"yes\"], [\"Did I talk to anyone on 2017/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11194\", \"logical_representation\": [\"2017/04/21\", \"a tv series\", \"19 minutes\"], \"text_template_based\": \"I watched a tv series for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/21?\", \"19 minutes\"], [\"what did I watch on tv on 2017/04/21?\", \"a tv series\"], [\"Did I watch tv on 2017/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/23\": {\"exercise\": {\"eid\": \"e11201\", \"logical_representation\": [\"2017/04/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/04/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11202\", \"logical_representation\": [\"2017/04/23\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/04/23?\", \"Kayden\"], [\"what did I eat for breakfast on 2017/04/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11203\", \"logical_representation\": [\"2017/04/23\", \"lunch\", \"fish and chips\", \"Layla, Eva\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/04/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11204\", \"logical_representation\": [\"2017/04/23\", \"Eva, Lydia\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Eva, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia in the early evening on 2017/04/23?\", \"28 minutes\"], [\"who did I talk to on 2017/04/23?\", \"Eva, Lydia\"], [\"Did I talk to Eva, Lydia on 2017/04/23?\", \"yes\"], [\"Did I talk to anyone on 2017/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11205\", \"logical_representation\": [\"2017/04/23\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/04/23?\", \"39 minutes\"], [\"what did I read on 2017/04/23?\", \"news\"], [\"Did I read on 2017/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/24\": {\"exercise\": {\"eid\": \"e11206\", \"logical_representation\": [\"2017/04/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/04/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11207\", \"logical_representation\": [\"2017/04/24\", \"Piper, Hazel, Layla\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Layla for 53 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Layla in the early afternoon on 2017/04/24?\", \"53 minutes\"], [\"who did I talk to on 2017/04/24?\", \"Piper, Hazel, Layla\"], [\"Did I talk to Piper, Hazel, Layla on 2017/04/24?\", \"yes\"], [\"Did I talk to anyone on 2017/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/25\": {\"chat1\": {\"eid\": \"e11208\", \"logical_representation\": [\"2017/04/25\", \"Lydia, Rylee, Eva\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee, Eva for 47 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Eva during lunch hours on 2017/04/25?\", \"47 minutes\"], [\"who did I talk to on 2017/04/25?\", \"Lydia, Rylee, Eva\"], [\"Did I talk to Lydia, Rylee, Eva on 2017/04/25?\", \"yes\"], [\"Did I talk to anyone on 2017/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/28\": {\"exercise\": {\"eid\": \"e11218\", \"logical_representation\": [\"2017/04/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/04/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11219\", \"logical_representation\": [\"2017/04/28\", \"breakfast\", \"toast and cheese\", \"Layla, Hazel, Olivia, Nora, Kinsley\"], \"text_template_based\": \"I had breakfast with Layla, Hazel, Olivia, Nora, Kinsley. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/04/28?\", \"Layla, Hazel, Olivia, Nora, Kinsley\"], [\"what did I eat for breakfast on 2017/04/28\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11220\", \"logical_representation\": [\"2017/04/28\", \"lunch\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/04/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11221\", \"logical_representation\": [\"2017/04/28\", \"Piper, Eva\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I talked to Piper, Eva for 6 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva during lunch hours on 2017/04/28?\", \"6 minutes\"], [\"who did I talk to on 2017/04/28?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2017/04/28?\", \"yes\"], [\"Did I talk to anyone on 2017/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11222\", \"logical_representation\": [\"2017/04/28\", \"Piper\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2017/04/28?\", \"10 minutes\"], [\"who did I talk to on 2017/04/28?\", \"Piper\"], [\"Did I talk to Piper on 2017/04/28?\", \"yes\"], [\"Did I talk to anyone on 2017/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/29\": {\"breakfast\": {\"eid\": \"e11223\", \"logical_representation\": [\"2017/04/29\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/04/29\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11224\", \"logical_representation\": [\"2017/04/29\", \"lunch\", \"steak\", \"Andrew, Carter\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/04/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11225\", \"logical_representation\": [\"2017/04/29\", \"Piper\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2017/04/29?\", \"11 minutes\"], [\"who did I talk to on 2017/04/29?\", \"Piper\"], [\"Did I talk to Piper on 2017/04/29?\", \"yes\"], [\"Did I talk to anyone on 2017/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11226\", \"logical_representation\": [\"2017/04/29\", \"Rylee, Nevaeh, Olivia\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Rylee, Nevaeh, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Olivia in the early evening on 2017/04/29?\", \"19 minutes\"], [\"who did I talk to on 2017/04/29?\", \"Rylee, Nevaeh, Olivia\"], [\"Did I talk to Rylee, Nevaeh, Olivia on 2017/04/29?\", \"yes\"], [\"Did I talk to anyone on 2017/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/30\": {\"lunch\": {\"eid\": \"e11227\", \"logical_representation\": [\"2017/04/30\", \"lunch\", \"chinese food\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/04/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11228\", \"logical_representation\": [\"2017/04/30\", \"dinner\", \"pasta\", \"Hazel, Avery, Kinsley\"], \"text_template_based\": \"I had dinner with Hazel, Avery, Kinsley. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/04/30?\", \"Hazel, Avery, Kinsley\"], [\"what did I eat for dinner on 2017/04/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11229\", \"logical_representation\": [\"2017/04/30\", \"Hazel, Lydia\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia for 47 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia in the morning on 2017/04/30?\", \"47 minutes\"], [\"who did I talk to on 2017/04/30?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2017/04/30?\", \"yes\"], [\"Did I talk to anyone on 2017/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11230\", \"logical_representation\": [\"2017/04/30\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/04/30?\", \"17 minutes\"], [\"what did I read on 2017/04/30?\", \"social media\"], [\"Did I read on 2017/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11231\", \"logical_representation\": [\"2017/04/30\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I watched a tv series for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/30?\", \"17 minutes\"], [\"what did I watch on tv on 2017/04/30?\", \"a tv series\"], [\"Did I watch tv on 2017/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/02\": {\"breakfast\": {\"eid\": \"e11233\", \"logical_representation\": [\"2017/05/02\", \"breakfast\", \"pancakes\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/05/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11234\", \"logical_representation\": [\"2017/05/02\", \"lunch\", \"sushi\", \"Nevaeh, Claire, Lydia, Avery, Hazel, Kinsley, Rylee\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11235\", \"logical_representation\": [\"2017/05/02\", \"Eva, Olivia, Piper, Kinsley\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I talked to Eva, Olivia, Piper, Kinsley for 51 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Piper, Kinsley during lunch hours on 2017/05/02?\", \"51 minutes\"], [\"who did I talk to on 2017/05/02?\", \"Eva, Olivia, Piper, Kinsley\"], [\"Did I talk to Eva, Olivia, Piper, Kinsley on 2017/05/02?\", \"yes\"], [\"Did I talk to anyone on 2017/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11236\", \"logical_representation\": [\"2017/05/02\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/05/02?\", \"14 minutes\"], [\"what did I read on 2017/05/02?\", \"news\"], [\"Did I read on 2017/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11237\", \"logical_representation\": [\"2017/05/02\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/02?\", \"12 minutes\"], [\"what did I watch on tv on 2017/05/02?\", \"news\"], [\"Did I watch tv on 2017/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/04\": {\"dinner\": {\"eid\": \"e11243\", \"logical_representation\": [\"2017/05/04\", \"dinner\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/05/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11244\", \"logical_representation\": [\"2017/05/04\", \"Rylee, Nora, Olivia, Nevaeh\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I talked to Rylee, Nora, Olivia, Nevaeh for 48 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Olivia, Nevaeh during lunch hours on 2017/05/04?\", \"48 minutes\"], [\"who did I talk to on 2017/05/04?\", \"Rylee, Nora, Olivia, Nevaeh\"], [\"Did I talk to Rylee, Nora, Olivia, Nevaeh on 2017/05/04?\", \"yes\"], [\"Did I talk to anyone on 2017/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11245\", \"logical_representation\": [\"2017/05/04\", \"Hazel\", \"in the late afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Hazel for 35 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2017/05/04?\", \"35 minutes\"], [\"who did I talk to on 2017/05/04?\", \"Hazel\"], [\"Did I talk to Hazel on 2017/05/04?\", \"yes\"], [\"Did I talk to anyone on 2017/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11246\", \"logical_representation\": [\"2017/05/04\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/04?\", \"22 minutes\"], [\"what did I watch on tv on 2017/05/04?\", \"a documentary\"], [\"Did I watch tv on 2017/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/06\": {\"breakfast\": {\"eid\": \"e11247\", \"logical_representation\": [\"2017/05/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/05/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11248\", \"logical_representation\": [\"2017/05/06\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11249\", \"logical_representation\": [\"2017/05/06\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/05/06?\", \"49 minutes\"], [\"what did I read on 2017/05/06?\", \"news\"], [\"Did I read on 2017/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11250\", \"logical_representation\": [\"2017/05/06\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I watched a documentary for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/06?\", \"22 minutes\"], [\"what did I watch on tv on 2017/05/06?\", \"a documentary\"], [\"Did I watch tv on 2017/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/08\": {\"lunch\": {\"eid\": \"e11254\", \"logical_representation\": [\"2017/05/08\", \"lunch\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11255\", \"logical_representation\": [\"2017/05/08\", \"dinner\", \"pasta\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/05/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11256\", \"logical_representation\": [\"2017/05/08\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/05/08?\", \"6 minutes\"], [\"what did I read on 2017/05/08?\", \"a book\"], [\"Did I read on 2017/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/09\": {\"lunch\": {\"eid\": \"e11257\", \"logical_representation\": [\"2017/05/09\", \"lunch\", \"tacos\", \"Nora, Nevaeh, Layla\"], \"text_template_based\": \"I had lunch with Nora, Nevaeh, Layla. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/05/09?\", \"Nora, Nevaeh, Layla\"], [\"what did I eat for lunch on 2017/05/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11258\", \"logical_representation\": [\"2017/05/09\", \"Lydia, Layla\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Lydia, Layla for 14 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla in the late afternoon on 2017/05/09?\", \"14 minutes\"], [\"who did I talk to on 2017/05/09?\", \"Lydia, Layla\"], [\"Did I talk to Lydia, Layla on 2017/05/09?\", \"yes\"], [\"Did I talk to anyone on 2017/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11259\", \"logical_representation\": [\"2017/05/09\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/05/09?\", \"17 minutes\"], [\"what did I read on 2017/05/09?\", \"a book\"], [\"Did I read on 2017/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11260\", \"logical_representation\": [\"2017/05/09\", \"news\", \"45 minutes\"], \"text_template_based\": \"I watched news for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/09?\", \"45 minutes\"], [\"what did I watch on tv on 2017/05/09?\", \"news\"], [\"Did I watch tv on 2017/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/19\": {\"dinner\": {\"eid\": \"e11295\", \"logical_representation\": [\"2017/05/19\", \"dinner\", \"pasta\", \"Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/05/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11296\", \"logical_representation\": [\"2017/05/19\", \"Eva, Layla, Kinsley, Claire\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Eva, Layla, Kinsley, Claire for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Kinsley, Claire in the morning on 2017/05/19?\", \"30 minutes\"], [\"who did I talk to on 2017/05/19?\", \"Eva, Layla, Kinsley, Claire\"], [\"Did I talk to Eva, Layla, Kinsley, Claire on 2017/05/19?\", \"yes\"], [\"Did I talk to anyone on 2017/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/20\": {\"exercise\": {\"eid\": \"e11297\", \"logical_representation\": [\"2017/05/20\", \"biking\"], \"text_template_based\": \"I did biking on 2017/05/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/05/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11298\", \"logical_representation\": [\"2017/05/20\", \"lunch\", \"pasta\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Carter, Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/05/20?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for lunch on 2017/05/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11299\", \"logical_representation\": [\"2017/05/20\", \"dinner\", \"a burger\", \"Avery, Willow\"], \"text_template_based\": \"I had a burger for dinner with Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/05/20?\", \"Avery, Willow\"], [\"what did I eat for dinner on 2017/05/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11300\", \"logical_representation\": [\"2017/05/20\", \"Piper\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2017/05/20?\", \"38 minutes\"], [\"who did I talk to on 2017/05/20?\", \"Piper\"], [\"Did I talk to Piper on 2017/05/20?\", \"yes\"], [\"Did I talk to anyone on 2017/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/21\": {\"dinner\": {\"eid\": \"e11301\", \"logical_representation\": [\"2017/05/21\", \"dinner\", \"indian food\", \"Hazel, Lydia, Nevaeh, Nora, Rylee, Avery\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/05/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11302\", \"logical_representation\": [\"2017/05/21\", \"Olivia, Lydia\", \"in the morning\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Olivia, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia in the morning on 2017/05/21?\", \"28 minutes\"], [\"who did I talk to on 2017/05/21?\", \"Olivia, Lydia\"], [\"Did I talk to Olivia, Lydia on 2017/05/21?\", \"yes\"], [\"Did I talk to anyone on 2017/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/22\": {\"watch tv\": {\"eid\": \"e11303\", \"logical_representation\": [\"2017/05/22\", \"a documentary\", \"34 minutes\"], \"text_template_based\": \"I watched a documentary for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/22?\", \"34 minutes\"], [\"what did I watch on tv on 2017/05/22?\", \"a documentary\"], [\"Did I watch tv on 2017/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/25\": {\"chat1\": {\"eid\": \"e11307\", \"logical_representation\": [\"2017/05/25\", \"Layla, Piper\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Layla, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper in the early evening on 2017/05/25?\", \"10 minutes\"], [\"who did I talk to on 2017/05/25?\", \"Layla, Piper\"], [\"Did I talk to Layla, Piper on 2017/05/25?\", \"yes\"], [\"Did I talk to anyone on 2017/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/26\": {\"breakfast\": {\"eid\": \"e11308\", \"logical_representation\": [\"2017/05/26\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/05/26\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11309\", \"logical_representation\": [\"2017/05/26\", \"lunch\", \"chinese food\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/05/26?\", \"Carter, Kayden\"], [\"what did I eat for lunch on 2017/05/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11310\", \"logical_representation\": [\"2017/05/26\", \"Piper, Piper, Hazel\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Piper, Piper, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Hazel in the late afternoon on 2017/05/26?\", \"11 minutes\"], [\"who did I talk to on 2017/05/26?\", \"Piper, Piper, Hazel\"], [\"Did I talk to Piper, Piper, Hazel on 2017/05/26?\", \"yes\"], [\"Did I talk to anyone on 2017/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11311\", \"logical_representation\": [\"2017/05/26\", \"Olivia, Avery\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Olivia, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery during lunch hours on 2017/05/26?\", \"13 minutes\"], [\"who did I talk to on 2017/05/26?\", \"Olivia, Avery\"], [\"Did I talk to Olivia, Avery on 2017/05/26?\", \"yes\"], [\"Did I talk to anyone on 2017/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11312\", \"logical_representation\": [\"2017/05/26\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/05/26?\", \"21 minutes\"], [\"what did I read on 2017/05/26?\", \"social media\"], [\"Did I read on 2017/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/28\": {\"exercise\": {\"eid\": \"e11317\", \"logical_representation\": [\"2017/05/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/05/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/05/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11318\", \"logical_representation\": [\"2017/05/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/05/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11319\", \"logical_representation\": [\"2017/05/28\", \"lunch\", \"sushi\", \"Jackson, Avery\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11320\", \"logical_representation\": [\"2017/05/28\", \"dinner\", \"sandwich\", \"Layla, Kinsley, Piper, Hazel\"], \"text_template_based\": \"I had dinner with Layla, Kinsley, Piper, Hazel. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/05/28?\", \"Layla, Kinsley, Piper, Hazel\"], [\"what did I eat for dinner on 2017/05/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11321\", \"logical_representation\": [\"2017/05/28\", \"Hazel, Claire\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Hazel, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire during lunch hours on 2017/05/28?\", \"11 minutes\"], [\"who did I talk to on 2017/05/28?\", \"Hazel, Claire\"], [\"Did I talk to Hazel, Claire on 2017/05/28?\", \"yes\"], [\"Did I talk to anyone on 2017/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11322\", \"logical_representation\": [\"2017/05/28\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/05/28?\", \"22 minutes\"], [\"what did I read on 2017/05/28?\", \"news\"], [\"Did I read on 2017/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11323\", \"logical_representation\": [\"2017/05/28\", \"news\", \"10 minutes\"], \"text_template_based\": \"I watched news for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/28?\", \"10 minutes\"], [\"what did I watch on tv on 2017/05/28?\", \"news\"], [\"Did I watch tv on 2017/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/29\": {\"exercise\": {\"eid\": \"e11324\", \"logical_representation\": [\"2017/05/29\", \"running\"], \"text_template_based\": \"I did running on 2017/05/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/05/29?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11325\", \"logical_representation\": [\"2017/05/29\", \"dinner\", \"fish and chips\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/05/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11326\", \"logical_representation\": [\"2017/05/29\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/29?\", \"49 minutes\"], [\"what did I watch on tv on 2017/05/29?\", \"a tv series\"], [\"Did I watch tv on 2017/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/30\": {\"exercise\": {\"eid\": \"e11327\", \"logical_representation\": [\"2017/05/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/05/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/05/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11328\", \"logical_representation\": [\"2017/05/30\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/05/30?\", \"Kayden\"], [\"what did I eat for breakfast on 2017/05/30\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11329\", \"logical_representation\": [\"2017/05/30\", \"dinner\", \"steak\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had steak for dinner with Avery, Willow, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/05/30?\", \"Avery, Willow, Jackson, Benjamin\"], [\"what did I eat for dinner on 2017/05/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11330\", \"logical_representation\": [\"2017/05/30\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/05/30?\", \"16 minutes\"], [\"what did I read on 2017/05/30?\", \"a book\"], [\"Did I read on 2017/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11331\", \"logical_representation\": [\"2017/05/30\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/30?\", \"39 minutes\"], [\"what did I watch on tv on 2017/05/30?\", \"a tv series\"], [\"Did I watch tv on 2017/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/01\": {\"exercise\": {\"eid\": \"e11336\", \"logical_representation\": [\"2017/06/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/06/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11337\", \"logical_representation\": [\"2017/06/01\", \"Layla, Lydia, Olivia\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I talked to Layla, Lydia, Olivia for 6 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Olivia in the morning on 2017/06/01?\", \"6 minutes\"], [\"who did I talk to on 2017/06/01?\", \"Layla, Lydia, Olivia\"], [\"Did I talk to Layla, Lydia, Olivia on 2017/06/01?\", \"yes\"], [\"Did I talk to anyone on 2017/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11338\", \"logical_representation\": [\"2017/06/01\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I watched a movie for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/01?\", \"22 minutes\"], [\"what did I watch on tv on 2017/06/01?\", \"a movie\"], [\"Did I watch tv on 2017/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/02\": {\"exercise\": {\"eid\": \"e11339\", \"logical_representation\": [\"2017/06/02\", \"running\"], \"text_template_based\": \"I did running on 2017/06/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11340\", \"logical_representation\": [\"2017/06/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Willow\"], \"text_template_based\": \"I had breakfast with Avery, Willow. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/06/02?\", \"Avery, Willow\"], [\"what did I eat for breakfast on 2017/06/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11341\", \"logical_representation\": [\"2017/06/02\", \"dinner\", \"chinese food\", \"Emily, Andrew\"], \"text_template_based\": \"I had chinese food for dinner with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/06/02?\", \"Emily, Andrew\"], [\"what did I eat for dinner on 2017/06/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11342\", \"logical_representation\": [\"2017/06/02\", \"Hazel, Lydia, Claire\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia, Claire for 21 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Claire late in the evening on 2017/06/02?\", \"21 minutes\"], [\"who did I talk to on 2017/06/02?\", \"Hazel, Lydia, Claire\"], [\"Did I talk to Hazel, Lydia, Claire on 2017/06/02?\", \"yes\"], [\"Did I talk to anyone on 2017/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/04\": {\"exercise\": {\"eid\": \"e11349\", \"logical_representation\": [\"2017/06/04\", \"biking\"], \"text_template_based\": \"I did biking on 2017/06/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11350\", \"logical_representation\": [\"2017/06/04\", \"breakfast\", \"oatmeal\", \"Nora, Rylee, Piper, Lydia, Olivia, Layla, Nevaeh, Piper, Kinsley, Eva\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/06/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11351\", \"logical_representation\": [\"2017/06/04\", \"lunch\", \"sushi\", \"Willow\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/06/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11352\", \"logical_representation\": [\"2017/06/04\", \"Lydia, Hazel, Kinsley, Eva\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Lydia, Hazel, Kinsley, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Kinsley, Eva during lunch hours on 2017/06/04?\", \"47 minutes\"], [\"who did I talk to on 2017/06/04?\", \"Lydia, Hazel, Kinsley, Eva\"], [\"Did I talk to Lydia, Hazel, Kinsley, Eva on 2017/06/04?\", \"yes\"], [\"Did I talk to anyone on 2017/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11353\", \"logical_representation\": [\"2017/06/04\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/06/04?\", \"37 minutes\"], [\"what did I read on 2017/06/04?\", \"social media\"], [\"Did I read on 2017/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11354\", \"logical_representation\": [\"2017/06/04\", \"a movie\", \"9 minutes\"], \"text_template_based\": \"I watched a movie for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/04?\", \"9 minutes\"], [\"what did I watch on tv on 2017/06/04?\", \"a movie\"], [\"Did I watch tv on 2017/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/06\": {\"breakfast\": {\"eid\": \"e11357\", \"logical_representation\": [\"2017/06/06\", \"breakfast\", \"cereals\", \"Avery, Jackson\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/06/06\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2017/06/08\": {\"exercise\": {\"eid\": \"e11363\", \"logical_representation\": [\"2017/06/08\", \"biking\"], \"text_template_based\": \"I did biking on 2017/06/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/08?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11364\", \"logical_representation\": [\"2017/06/08\", \"lunch\", \"fish and chips\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/06/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11365\", \"logical_representation\": [\"2017/06/08\", \"Claire, Piper, Rylee\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Claire, Piper, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Rylee late in the evening on 2017/06/08?\", \"26 minutes\"], [\"who did I talk to on 2017/06/08?\", \"Claire, Piper, Rylee\"], [\"Did I talk to Claire, Piper, Rylee on 2017/06/08?\", \"yes\"], [\"Did I talk to anyone on 2017/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11366\", \"logical_representation\": [\"2017/06/08\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/06/08?\", \"28 minutes\"], [\"what did I read on 2017/06/08?\", \"social media\"], [\"Did I read on 2017/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/09\": {\"dinner\": {\"eid\": \"e11367\", \"logical_representation\": [\"2017/06/09\", \"dinner\", \"tacos\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/06/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11368\", \"logical_representation\": [\"2017/06/09\", \"Nora, Claire\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nora, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire during lunch hours on 2017/06/09?\", \"29 minutes\"], [\"who did I talk to on 2017/06/09?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2017/06/09?\", \"yes\"], [\"Did I talk to anyone on 2017/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11369\", \"logical_representation\": [\"2017/06/09\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/06/09?\", \"47 minutes\"], [\"what did I read on 2017/06/09?\", \"news\"], [\"Did I read on 2017/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/10\": {\"exercise\": {\"eid\": \"e11370\", \"logical_representation\": [\"2017/06/10\", \"biking\"], \"text_template_based\": \"I did biking on 2017/06/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11371\", \"logical_representation\": [\"2017/06/10\", \"lunch\", \"a burger\", \"Nora, Eva, Avery, Hazel, Rylee, Piper, Layla, Piper\"], \"text_template_based\": \"I had a burger for lunch with Nora, Eva, Avery, Hazel, Rylee, Piper, Layla, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/06/10?\", \"Nora, Eva, Avery, Hazel, Rylee, Piper, Layla, Piper\"], [\"what did I eat for lunch on 2017/06/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11372\", \"logical_representation\": [\"2017/06/10\", \"Piper, Layla, Olivia, Piper\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Piper, Layla, Olivia, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Olivia, Piper in the early evening on 2017/06/10?\", \"23 minutes\"], [\"who did I talk to on 2017/06/10?\", \"Piper, Layla, Olivia, Piper\"], [\"Did I talk to Piper, Layla, Olivia, Piper on 2017/06/10?\", \"yes\"], [\"Did I talk to anyone on 2017/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/11\": {\"breakfast\": {\"eid\": \"e11373\", \"logical_representation\": [\"2017/06/11\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/06/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11374\", \"logical_representation\": [\"2017/06/11\", \"Olivia, Claire\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Olivia, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire in the late afternoon on 2017/06/11?\", \"29 minutes\"], [\"who did I talk to on 2017/06/11?\", \"Olivia, Claire\"], [\"Did I talk to Olivia, Claire on 2017/06/11?\", \"yes\"], [\"Did I talk to anyone on 2017/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11375\", \"logical_representation\": [\"2017/06/11\", \"Nora, Piper, Nevaeh, Avery\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Nora, Piper, Nevaeh, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Nevaeh, Avery in the late afternoon on 2017/06/11?\", \"51 minutes\"], [\"who did I talk to on 2017/06/11?\", \"Nora, Piper, Nevaeh, Avery\"], [\"Did I talk to Nora, Piper, Nevaeh, Avery on 2017/06/11?\", \"yes\"], [\"Did I talk to anyone on 2017/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11376\", \"logical_representation\": [\"2017/06/11\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/06/11?\", \"35 minutes\"], [\"what did I read on 2017/06/11?\", \"news\"], [\"Did I read on 2017/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/13\": {\"exercise\": {\"eid\": \"e11379\", \"logical_representation\": [\"2017/06/13\", \"biking\"], \"text_template_based\": \"I did biking on 2017/06/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11380\", \"logical_representation\": [\"2017/06/13\", \"lunch\", \"indian food\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/06/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11381\", \"logical_representation\": [\"2017/06/13\", \"dinner\", \"fish and chips\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had dinner with Emily, Andrew, Kayden, Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/06/13?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2017/06/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11382\", \"logical_representation\": [\"2017/06/13\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/06/13?\", \"48 minutes\"], [\"what did I read on 2017/06/13?\", \"a book\"], [\"Did I read on 2017/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11383\", \"logical_representation\": [\"2017/06/13\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/13?\", \"47 minutes\"], [\"what did I watch on tv on 2017/06/13?\", \"news\"], [\"Did I watch tv on 2017/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/14\": {\"breakfast\": {\"eid\": \"e11384\", \"logical_representation\": [\"2017/06/14\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Andrew. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/06/14?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for breakfast on 2017/06/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11385\", \"logical_representation\": [\"2017/06/14\", \"lunch\", \"sandwich\", \"Eva, Nevaeh, Lydia, Avery, Kinsley, Nora, Olivia, Claire, Piper, Hazel, Rylee\"], \"text_template_based\": \"I had lunch with Eva, Nevaeh, Lydia, Avery, Kinsley, Nora, Olivia, Claire, Piper, Hazel, Rylee. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/06/14?\", \"Eva, Nevaeh, Lydia, Avery, Kinsley, Nora, Olivia, Claire, Piper, Hazel, Rylee\"], [\"what did I eat for lunch on 2017/06/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11386\", \"logical_representation\": [\"2017/06/14\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/06/14?\", \"38 minutes\"], [\"what did I read on 2017/06/14?\", \"news\"], [\"Did I read on 2017/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/17\": {\"exercise\": {\"eid\": \"e11394\", \"logical_representation\": [\"2017/06/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/06/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11395\", \"logical_representation\": [\"2017/06/17\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/06/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11396\", \"logical_representation\": [\"2017/06/17\", \"lunch\", \"fish and chips\", \"Carter, Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/06/17?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2017/06/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11397\", \"logical_representation\": [\"2017/06/17\", \"dinner\", \"sushi\", \"Jackson, Willow\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/06/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11398\", \"logical_representation\": [\"2017/06/17\", \"Nora\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I talked to Nora for 27 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2017/06/17?\", \"27 minutes\"], [\"who did I talk to on 2017/06/17?\", \"Nora\"], [\"Did I talk to Nora on 2017/06/17?\", \"yes\"], [\"Did I talk to anyone on 2017/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11399\", \"logical_representation\": [\"2017/06/17\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/06/17?\", \"14 minutes\"], [\"what did I read on 2017/06/17?\", \"a book\"], [\"Did I read on 2017/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11400\", \"logical_representation\": [\"2017/06/17\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/17?\", \"35 minutes\"], [\"what did I watch on tv on 2017/06/17?\", \"a documentary\"], [\"Did I watch tv on 2017/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/18\": {\"dinner\": {\"eid\": \"e11401\", \"logical_representation\": [\"2017/06/18\", \"dinner\", \"a burger\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/06/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11402\", \"logical_representation\": [\"2017/06/18\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/06/18?\", \"46 minutes\"], [\"what did I read on 2017/06/18?\", \"a book\"], [\"Did I read on 2017/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11403\", \"logical_representation\": [\"2017/06/18\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/18?\", \"45 minutes\"], [\"what did I watch on tv on 2017/06/18?\", \"a movie\"], [\"Did I watch tv on 2017/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/19\": {\"watch tv\": {\"eid\": \"e11404\", \"logical_representation\": [\"2017/06/19\", \"a tv series\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/19?\", \"46 minutes\"], [\"what did I watch on tv on 2017/06/19?\", \"a tv series\"], [\"Did I watch tv on 2017/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/20\": {\"dinner\": {\"eid\": \"e11405\", \"logical_representation\": [\"2017/06/20\", \"dinner\", \"sushi\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/06/20?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2017/06/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11406\", \"logical_representation\": [\"2017/06/20\", \"Nora, Piper\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Nora, Piper for 42 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the early evening on 2017/06/20?\", \"42 minutes\"], [\"who did I talk to on 2017/06/20?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2017/06/20?\", \"yes\"], [\"Did I talk to anyone on 2017/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11407\", \"logical_representation\": [\"2017/06/20\", \"Kinsley, Claire\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Kinsley, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire in the morning on 2017/06/20?\", \"26 minutes\"], [\"who did I talk to on 2017/06/20?\", \"Kinsley, Claire\"], [\"Did I talk to Kinsley, Claire on 2017/06/20?\", \"yes\"], [\"Did I talk to anyone on 2017/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11408\", \"logical_representation\": [\"2017/06/20\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/06/20?\", \"51 minutes\"], [\"what did I read on 2017/06/20?\", \"a book\"], [\"Did I read on 2017/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11409\", \"logical_representation\": [\"2017/06/20\", \"a movie\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/20?\", \"35 minutes\"], [\"what did I watch on tv on 2017/06/20?\", \"a movie\"], [\"Did I watch tv on 2017/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/21\": {\"breakfast\": {\"eid\": \"e11410\", \"logical_representation\": [\"2017/06/21\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/06/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11411\", \"logical_representation\": [\"2017/06/21\", \"lunch\", \"tacos\", \"Lydia, Piper, Avery, Nora, Rylee\"], \"text_template_based\": \"I had lunch with Lydia, Piper, Avery, Nora, Rylee. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/06/21?\", \"Lydia, Piper, Avery, Nora, Rylee\"], [\"what did I eat for lunch on 2017/06/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11412\", \"logical_representation\": [\"2017/06/21\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/06/21?\", \"7 minutes\"], [\"what did I read on 2017/06/21?\", \"a book\"], [\"Did I read on 2017/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/22\": {\"chat0\": {\"eid\": \"e11413\", \"logical_representation\": [\"2017/06/22\", \"Olivia, Layla, Rylee\", \"in the late afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Olivia, Layla, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Rylee in the late afternoon on 2017/06/22?\", \"21 minutes\"], [\"who did I talk to on 2017/06/22?\", \"Olivia, Layla, Rylee\"], [\"Did I talk to Olivia, Layla, Rylee on 2017/06/22?\", \"yes\"], [\"Did I talk to anyone on 2017/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11414\", \"logical_representation\": [\"2017/06/22\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/06/22?\", \"48 minutes\"], [\"what did I read on 2017/06/22?\", \"news\"], [\"Did I read on 2017/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11415\", \"logical_representation\": [\"2017/06/22\", \"a documentary\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/22?\", \"24 minutes\"], [\"what did I watch on tv on 2017/06/22?\", \"a documentary\"], [\"Did I watch tv on 2017/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/23\": {\"exercise\": {\"eid\": \"e11416\", \"logical_representation\": [\"2017/06/23\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/06/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/23?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11417\", \"logical_representation\": [\"2017/06/23\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/06/23?\", \"26 minutes\"], [\"what did I read on 2017/06/23?\", \"social media\"], [\"Did I read on 2017/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11418\", \"logical_representation\": [\"2017/06/23\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/23?\", \"6 minutes\"], [\"what did I watch on tv on 2017/06/23?\", \"news\"], [\"Did I watch tv on 2017/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/25\": {\"breakfast\": {\"eid\": \"e11422\", \"logical_representation\": [\"2017/06/25\", \"breakfast\", \"oatmeal\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/06/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11423\", \"logical_representation\": [\"2017/06/25\", \"lunch\", \"tacos\", \"Carter\"], \"text_template_based\": \"I had tacos for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/06/25?\", \"Carter\"], [\"what did I eat for lunch on 2017/06/25\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11424\", \"logical_representation\": [\"2017/06/25\", \"Avery, Lydia\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Avery, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia in the early evening on 2017/06/25?\", \"9 minutes\"], [\"who did I talk to on 2017/06/25?\", \"Avery, Lydia\"], [\"Did I talk to Avery, Lydia on 2017/06/25?\", \"yes\"], [\"Did I talk to anyone on 2017/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11425\", \"logical_representation\": [\"2017/06/25\", \"Eva\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Eva for 15 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2017/06/25?\", \"15 minutes\"], [\"who did I talk to on 2017/06/25?\", \"Eva\"], [\"Did I talk to Eva on 2017/06/25?\", \"yes\"], [\"Did I talk to anyone on 2017/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11426\", \"logical_representation\": [\"2017/06/25\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/06/25?\", \"17 minutes\"], [\"what did I read on 2017/06/25?\", \"a book\"], [\"Did I read on 2017/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11427\", \"logical_representation\": [\"2017/06/25\", \"news\", \"47 minutes\"], \"text_template_based\": \"I watched news for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/25?\", \"47 minutes\"], [\"what did I watch on tv on 2017/06/25?\", \"news\"], [\"Did I watch tv on 2017/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/26\": {\"lunch\": {\"eid\": \"e11428\", \"logical_representation\": [\"2017/06/26\", \"lunch\", \"sushi\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had sushi for lunch with Carter, Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/06/26?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2017/06/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11429\", \"logical_representation\": [\"2017/06/26\", \"Lydia, Avery\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery for 28 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery in the early afternoon on 2017/06/26?\", \"28 minutes\"], [\"who did I talk to on 2017/06/26?\", \"Lydia, Avery\"], [\"Did I talk to Lydia, Avery on 2017/06/26?\", \"yes\"], [\"Did I talk to anyone on 2017/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/27\": {\"dinner\": {\"eid\": \"e11430\", \"logical_representation\": [\"2017/06/27\", \"dinner\", \"indian food\", \"Andrew, Kayden\"], \"text_template_based\": \"I had indian food for dinner with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/06/27?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2017/06/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11431\", \"logical_representation\": [\"2017/06/27\", \"Piper, Hazel\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel for 21 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel during lunch hours on 2017/06/27?\", \"21 minutes\"], [\"who did I talk to on 2017/06/27?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2017/06/27?\", \"yes\"], [\"Did I talk to anyone on 2017/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11432\", \"logical_representation\": [\"2017/06/27\", \"a movie\", \"16 minutes\"], \"text_template_based\": \"I watched a movie for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/27?\", \"16 minutes\"], [\"what did I watch on tv on 2017/06/27?\", \"a movie\"], [\"Did I watch tv on 2017/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/29\": {\"dinner\": {\"eid\": \"e11439\", \"logical_representation\": [\"2017/06/29\", \"dinner\", \"a burger\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had dinner with Benjamin, Jackson, Willow. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/06/29?\", \"Benjamin, Jackson, Willow\"], [\"what did I eat for dinner on 2017/06/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11440\", \"logical_representation\": [\"2017/06/29\", \"Kinsley, Piper\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Kinsley, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the early evening on 2017/06/29?\", \"48 minutes\"], [\"who did I talk to on 2017/06/29?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2017/06/29?\", \"yes\"], [\"Did I talk to anyone on 2017/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11441\", \"logical_representation\": [\"2017/06/29\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/29?\", \"23 minutes\"], [\"what did I watch on tv on 2017/06/29?\", \"a movie\"], [\"Did I watch tv on 2017/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/30\": {\"dinner\": {\"eid\": \"e11442\", \"logical_representation\": [\"2017/06/30\", \"dinner\", \"sushi\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/06/30\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11443\", \"logical_representation\": [\"2017/06/30\", \"Rylee\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I talked to Rylee for 9 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2017/06/30?\", \"9 minutes\"], [\"who did I talk to on 2017/06/30?\", \"Rylee\"], [\"Did I talk to Rylee on 2017/06/30?\", \"yes\"], [\"Did I talk to anyone on 2017/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11444\", \"logical_representation\": [\"2017/06/30\", \"Claire, Kinsley, Piper\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Claire, Kinsley, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Piper in the early afternoon on 2017/06/30?\", \"34 minutes\"], [\"who did I talk to on 2017/06/30?\", \"Claire, Kinsley, Piper\"], [\"Did I talk to Claire, Kinsley, Piper on 2017/06/30?\", \"yes\"], [\"Did I talk to anyone on 2017/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11445\", \"logical_representation\": [\"2017/06/30\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/06/30?\", \"26 minutes\"], [\"what did I read on 2017/06/30?\", \"social media\"], [\"Did I read on 2017/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11446\", \"logical_representation\": [\"2017/06/30\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I watched a movie for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/30?\", \"17 minutes\"], [\"what did I watch on tv on 2017/06/30?\", \"a movie\"], [\"Did I watch tv on 2017/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/01\": {\"breakfast\": {\"eid\": \"e11447\", \"logical_representation\": [\"2017/07/01\", \"breakfast\", \"toast and cheese\", \"Eva, Piper, Kinsley, Lydia, Rylee, Piper, Claire, Hazel, Nevaeh, Layla, Nora, Olivia\"], \"text_template_based\": \"I had breakfast with Eva, Piper, Kinsley, Lydia, Rylee, Piper, Claire, Hazel, Nevaeh, Layla, Nora, Olivia. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/07/01?\", \"Eva, Piper, Kinsley, Lydia, Rylee, Piper, Claire, Hazel, Nevaeh, Layla, Nora, Olivia\"], [\"what did I eat for breakfast on 2017/07/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11448\", \"logical_representation\": [\"2017/07/01\", \"lunch\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/07/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11449\", \"logical_representation\": [\"2017/07/01\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/07/01?\", \"54 minutes\"], [\"what did I read on 2017/07/01?\", \"news\"], [\"Did I read on 2017/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/06\": {\"exercise\": {\"eid\": \"e11469\", \"logical_representation\": [\"2017/07/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/07/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11470\", \"logical_representation\": [\"2017/07/06\", \"breakfast\", \"oatmeal\", \"Claire, Hazel, Eva\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/07/06\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11471\", \"logical_representation\": [\"2017/07/06\", \"dinner\", \"sandwich\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11472\", \"logical_representation\": [\"2017/07/06\", \"Eva, Lydia, Piper\", \"in the early evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Eva, Lydia, Piper for 45 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Piper in the early evening on 2017/07/06?\", \"45 minutes\"], [\"who did I talk to on 2017/07/06?\", \"Eva, Lydia, Piper\"], [\"Did I talk to Eva, Lydia, Piper on 2017/07/06?\", \"yes\"], [\"Did I talk to anyone on 2017/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/07\": {\"exercise\": {\"eid\": \"e11473\", \"logical_representation\": [\"2017/07/07\", \"biking\"], \"text_template_based\": \"I did biking on 2017/07/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/07?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11474\", \"logical_representation\": [\"2017/07/07\", \"breakfast\", \"oatmeal\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I had breakfast with Benjamin, Avery, Willow. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/07/07?\", \"Benjamin, Avery, Willow\"], [\"what did I eat for breakfast on 2017/07/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11475\", \"logical_representation\": [\"2017/07/07\", \"lunch\", \"a burger\", \"Rylee, Claire, Piper, Olivia, Piper, Layla, Hazel, Nevaeh, Kinsley\"], \"text_template_based\": \"I had a burger for lunch with Rylee, Claire, Piper, Olivia, Piper, Layla, Hazel, Nevaeh, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/07/07?\", \"Rylee, Claire, Piper, Olivia, Piper, Layla, Hazel, Nevaeh, Kinsley\"], [\"what did I eat for lunch on 2017/07/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11476\", \"logical_representation\": [\"2017/07/07\", \"dinner\", \"chinese food\", \"Benjamin, Avery\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11477\", \"logical_representation\": [\"2017/07/07\", \"a book\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/07/07?\", \"40 minutes\"], [\"what did I read on 2017/07/07?\", \"a book\"], [\"Did I read on 2017/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/08\": {\"exercise\": {\"eid\": \"e11478\", \"logical_representation\": [\"2017/07/08\", \"biking\"], \"text_template_based\": \"I did biking on 2017/07/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/08?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11479\", \"logical_representation\": [\"2017/07/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Emily, Kayden. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/07/08?\", \"Emily, Kayden\"], [\"what did I eat for breakfast on 2017/07/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11480\", \"logical_representation\": [\"2017/07/08\", \"Eva, Rylee, Kinsley, Piper\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Eva, Rylee, Kinsley, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Kinsley, Piper in the early afternoon on 2017/07/08?\", \"11 minutes\"], [\"who did I talk to on 2017/07/08?\", \"Eva, Rylee, Kinsley, Piper\"], [\"Did I talk to Eva, Rylee, Kinsley, Piper on 2017/07/08?\", \"yes\"], [\"Did I talk to anyone on 2017/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11481\", \"logical_representation\": [\"2017/07/08\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I watched a documentary for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/08?\", \"36 minutes\"], [\"what did I watch on tv on 2017/07/08?\", \"a documentary\"], [\"Did I watch tv on 2017/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/09\": {\"exercise\": {\"eid\": \"e11482\", \"logical_representation\": [\"2017/07/09\", \"biking\"], \"text_template_based\": \"I did biking on 2017/07/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11483\", \"logical_representation\": [\"2017/07/09\", \"Olivia\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Olivia for 30 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2017/07/09?\", \"30 minutes\"], [\"who did I talk to on 2017/07/09?\", \"Olivia\"], [\"Did I talk to Olivia on 2017/07/09?\", \"yes\"], [\"Did I talk to anyone on 2017/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/11\": {\"exercise\": {\"eid\": \"e11489\", \"logical_representation\": [\"2017/07/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/07/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11490\", \"logical_representation\": [\"2017/07/11\", \"lunch\", \"tacos\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/07/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11491\", \"logical_representation\": [\"2017/07/11\", \"dinner\", \"tacos\", \"Avery, Willow\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11492\", \"logical_representation\": [\"2017/07/11\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/11?\", \"43 minutes\"], [\"what did I watch on tv on 2017/07/11?\", \"news\"], [\"Did I watch tv on 2017/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/12\": {\"exercise\": {\"eid\": \"e11493\", \"logical_representation\": [\"2017/07/12\", \"running\"], \"text_template_based\": \"I did running on 2017/07/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/12?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11494\", \"logical_representation\": [\"2017/07/12\", \"dinner\", \"steak\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Emily, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/07/12?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2017/07/12\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2017/07/13\": {\"breakfast\": {\"eid\": \"e11495\", \"logical_representation\": [\"2017/07/13\", \"breakfast\", \"peanut-butter-jam\", \"Willow\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/07/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11496\", \"logical_representation\": [\"2017/07/13\", \"dinner\", \"a burger\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had a burger for dinner with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/07/13?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2017/07/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11497\", \"logical_representation\": [\"2017/07/13\", \"Olivia\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2017/07/13?\", \"6 minutes\"], [\"who did I talk to on 2017/07/13?\", \"Olivia\"], [\"Did I talk to Olivia on 2017/07/13?\", \"yes\"], [\"Did I talk to anyone on 2017/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/14\": {\"breakfast\": {\"eid\": \"e11498\", \"logical_representation\": [\"2017/07/14\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/07/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11499\", \"logical_representation\": [\"2017/07/14\", \"Piper, Hazel\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel for 22 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel in the early afternoon on 2017/07/14?\", \"22 minutes\"], [\"who did I talk to on 2017/07/14?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2017/07/14?\", \"yes\"], [\"Did I talk to anyone on 2017/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11500\", \"logical_representation\": [\"2017/07/14\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/07/14?\", \"22 minutes\"], [\"what did I read on 2017/07/14?\", \"social media\"], [\"Did I read on 2017/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11501\", \"logical_representation\": [\"2017/07/14\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/14?\", \"48 minutes\"], [\"what did I watch on tv on 2017/07/14?\", \"a tv series\"], [\"Did I watch tv on 2017/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/15\": {\"dinner\": {\"eid\": \"e11502\", \"logical_representation\": [\"2017/07/15\", \"dinner\", \"steak\", \"Emily, Kayden\"], \"text_template_based\": \"I had steak for dinner with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/07/15?\", \"Emily, Kayden\"], [\"what did I eat for dinner on 2017/07/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11503\", \"logical_representation\": [\"2017/07/15\", \"Hazel\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Hazel for 17 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2017/07/15?\", \"17 minutes\"], [\"who did I talk to on 2017/07/15?\", \"Hazel\"], [\"Did I talk to Hazel on 2017/07/15?\", \"yes\"], [\"Did I talk to anyone on 2017/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11504\", \"logical_representation\": [\"2017/07/15\", \"Piper, Kinsley\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Piper, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley during lunch hours on 2017/07/15?\", \"14 minutes\"], [\"who did I talk to on 2017/07/15?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2017/07/15?\", \"yes\"], [\"Did I talk to anyone on 2017/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11505\", \"logical_representation\": [\"2017/07/15\", \"a documentary\", \"11 minutes\"], \"text_template_based\": \"I watched a documentary for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/15?\", \"11 minutes\"], [\"what did I watch on tv on 2017/07/15?\", \"a documentary\"], [\"Did I watch tv on 2017/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/16\": {\"breakfast\": {\"eid\": \"e11506\", \"logical_representation\": [\"2017/07/16\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Emily, Carter. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/07/16?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for breakfast on 2017/07/16\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11507\", \"logical_representation\": [\"2017/07/16\", \"dinner\", \"fish and chips\", \"Willow\"], \"text_template_based\": \"I had fish and chips for dinner with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/07/16?\", \"Willow\"], [\"what did I eat for dinner on 2017/07/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11508\", \"logical_representation\": [\"2017/07/16\", \"Olivia, Kinsley, Layla\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Olivia, Kinsley, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Layla in the early afternoon on 2017/07/16?\", \"47 minutes\"], [\"who did I talk to on 2017/07/16?\", \"Olivia, Kinsley, Layla\"], [\"Did I talk to Olivia, Kinsley, Layla on 2017/07/16?\", \"yes\"], [\"Did I talk to anyone on 2017/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/17\": {\"exercise\": {\"eid\": \"e11509\", \"logical_representation\": [\"2017/07/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/07/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11510\", \"logical_representation\": [\"2017/07/17\", \"lunch\", \"a burger\", \"Piper, Lydia, Avery, Nevaeh, Nora, Rylee, Kinsley\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/07/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11511\", \"logical_representation\": [\"2017/07/17\", \"dinner\", \"indian food\", \"Eva, Layla, Rylee, Olivia\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11512\", \"logical_representation\": [\"2017/07/17\", \"Avery\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Avery for 15 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2017/07/17?\", \"15 minutes\"], [\"who did I talk to on 2017/07/17?\", \"Avery\"], [\"Did I talk to Avery on 2017/07/17?\", \"yes\"], [\"Did I talk to anyone on 2017/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11513\", \"logical_representation\": [\"2017/07/17\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/17?\", \"30 minutes\"], [\"what did I watch on tv on 2017/07/17?\", \"news\"], [\"Did I watch tv on 2017/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/18\": {\"exercise\": {\"eid\": \"e11514\", \"logical_representation\": [\"2017/07/18\", \"running\"], \"text_template_based\": \"I did running on 2017/07/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/18?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11515\", \"logical_representation\": [\"2017/07/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I had breakfast with Willow, Benjamin, Avery. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/07/18?\", \"Willow, Benjamin, Avery\"], [\"what did I eat for breakfast on 2017/07/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11516\", \"logical_representation\": [\"2017/07/18\", \"Claire, Lydia, Piper, Olivia\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Claire, Lydia, Piper, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Piper, Olivia late in the evening on 2017/07/18?\", \"25 minutes\"], [\"who did I talk to on 2017/07/18?\", \"Claire, Lydia, Piper, Olivia\"], [\"Did I talk to Claire, Lydia, Piper, Olivia on 2017/07/18?\", \"yes\"], [\"Did I talk to anyone on 2017/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11517\", \"logical_representation\": [\"2017/07/18\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/07/18?\", \"5 minutes\"], [\"what did I read on 2017/07/18?\", \"a book\"], [\"Did I read on 2017/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/19\": {\"exercise\": {\"eid\": \"e11518\", \"logical_representation\": [\"2017/07/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/07/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11519\", \"logical_representation\": [\"2017/07/19\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/07/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11520\", \"logical_representation\": [\"2017/07/19\", \"lunch\", \"a burger\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had a burger for lunch with Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/07/19?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for lunch on 2017/07/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11521\", \"logical_representation\": [\"2017/07/19\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/07/19?\", \"12 minutes\"], [\"what did I read on 2017/07/19?\", \"a book\"], [\"Did I read on 2017/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/20\": {\"exercise\": {\"eid\": \"e11522\", \"logical_representation\": [\"2017/07/20\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/07/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/20?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11523\", \"logical_representation\": [\"2017/07/20\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/07/20?\", \"Carter\"], [\"what did I eat for breakfast on 2017/07/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11524\", \"logical_representation\": [\"2017/07/20\", \"lunch\", \"a burger\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had a burger for lunch with Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/07/20?\", \"Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2017/07/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11525\", \"logical_representation\": [\"2017/07/20\", \"dinner\", \"pasta\", \"Carter, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11526\", \"logical_representation\": [\"2017/07/20\", \"Rylee, Nevaeh\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh for 24 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh in the early afternoon on 2017/07/20?\", \"24 minutes\"], [\"who did I talk to on 2017/07/20?\", \"Rylee, Nevaeh\"], [\"Did I talk to Rylee, Nevaeh on 2017/07/20?\", \"yes\"], [\"Did I talk to anyone on 2017/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11527\", \"logical_representation\": [\"2017/07/20\", \"Nora, Kinsley, Eva, Nevaeh\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Nora, Kinsley, Eva, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Eva, Nevaeh in the early evening on 2017/07/20?\", \"35 minutes\"], [\"who did I talk to on 2017/07/20?\", \"Nora, Kinsley, Eva, Nevaeh\"], [\"Did I talk to Nora, Kinsley, Eva, Nevaeh on 2017/07/20?\", \"yes\"], [\"Did I talk to anyone on 2017/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11528\", \"logical_representation\": [\"2017/07/20\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/07/20?\", \"14 minutes\"], [\"what did I read on 2017/07/20?\", \"social media\"], [\"Did I read on 2017/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11529\", \"logical_representation\": [\"2017/07/20\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/20?\", \"42 minutes\"], [\"what did I watch on tv on 2017/07/20?\", \"a tv series\"], [\"Did I watch tv on 2017/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/22\": {\"breakfast\": {\"eid\": \"e11535\", \"logical_representation\": [\"2017/07/22\", \"breakfast\", \"cereals\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/07/22?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for breakfast on 2017/07/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11536\", \"logical_representation\": [\"2017/07/22\", \"lunch\", \"tacos\", \"Kinsley, Nevaeh\"], \"text_template_based\": \"I had lunch with Kinsley, Nevaeh. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/07/22?\", \"Kinsley, Nevaeh\"], [\"what did I eat for lunch on 2017/07/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11537\", \"logical_representation\": [\"2017/07/22\", \"Lydia, Avery, Rylee, Claire\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery, Rylee, Claire for 13 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Rylee, Claire during lunch hours on 2017/07/22?\", \"13 minutes\"], [\"who did I talk to on 2017/07/22?\", \"Lydia, Avery, Rylee, Claire\"], [\"Did I talk to Lydia, Avery, Rylee, Claire on 2017/07/22?\", \"yes\"], [\"Did I talk to anyone on 2017/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11538\", \"logical_representation\": [\"2017/07/22\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/07/22?\", \"27 minutes\"], [\"what did I read on 2017/07/22?\", \"news\"], [\"Did I read on 2017/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/24\": {\"exercise\": {\"eid\": \"e11541\", \"logical_representation\": [\"2017/07/24\", \"running\"], \"text_template_based\": \"I did running on 2017/07/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/24?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11542\", \"logical_representation\": [\"2017/07/24\", \"lunch\", \"chinese food\", \"Piper, Claire, Eva\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/07/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11543\", \"logical_representation\": [\"2017/07/24\", \"Nevaeh\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 37 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2017/07/24?\", \"37 minutes\"], [\"who did I talk to on 2017/07/24?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2017/07/24?\", \"yes\"], [\"Did I talk to anyone on 2017/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11544\", \"logical_representation\": [\"2017/07/24\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I watched a movie for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/24?\", \"7 minutes\"], [\"what did I watch on tv on 2017/07/24?\", \"a movie\"], [\"Did I watch tv on 2017/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/25\": {\"exercise\": {\"eid\": \"e11545\", \"logical_representation\": [\"2017/07/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/07/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11546\", \"logical_representation\": [\"2017/07/25\", \"lunch\", \"chinese food\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had chinese food for lunch with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/07/25?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2017/07/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11547\", \"logical_representation\": [\"2017/07/25\", \"dinner\", \"sandwich\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11548\", \"logical_representation\": [\"2017/07/25\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/25?\", \"34 minutes\"], [\"what did I watch on tv on 2017/07/25?\", \"news\"], [\"Did I watch tv on 2017/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/27\": {\"lunch\": {\"eid\": \"e11555\", \"logical_representation\": [\"2017/07/27\", \"lunch\", \"indian food\", \"Eva, Piper, Nora, Piper, Claire, Kinsley, Hazel, Nevaeh, Lydia, Olivia, Rylee, Avery, Layla\"], \"text_template_based\": \"I had lunch with Eva, Piper, Nora, Piper, Claire, Kinsley, Hazel, Nevaeh, Lydia, Olivia, Rylee, Avery, Layla. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/07/27?\", \"Eva, Piper, Nora, Piper, Claire, Kinsley, Hazel, Nevaeh, Lydia, Olivia, Rylee, Avery, Layla\"], [\"what did I eat for lunch on 2017/07/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11556\", \"logical_representation\": [\"2017/07/27\", \"Nora, Claire\", \"in the early evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Nora, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire in the early evening on 2017/07/27?\", \"21 minutes\"], [\"who did I talk to on 2017/07/27?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2017/07/27?\", \"yes\"], [\"Did I talk to anyone on 2017/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11557\", \"logical_representation\": [\"2017/07/27\", \"Rylee, Piper, Eva\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Rylee, Piper, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Eva during lunch hours on 2017/07/27?\", \"12 minutes\"], [\"who did I talk to on 2017/07/27?\", \"Rylee, Piper, Eva\"], [\"Did I talk to Rylee, Piper, Eva on 2017/07/27?\", \"yes\"], [\"Did I talk to anyone on 2017/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11558\", \"logical_representation\": [\"2017/07/27\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/07/27?\", \"12 minutes\"], [\"what did I read on 2017/07/27?\", \"social media\"], [\"Did I read on 2017/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/28\": {\"exercise\": {\"eid\": \"e11559\", \"logical_representation\": [\"2017/07/28\", \"biking\"], \"text_template_based\": \"I did biking on 2017/07/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11560\", \"logical_representation\": [\"2017/07/28\", \"lunch\", \"a burger\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Kayden, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/07/28?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2017/07/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11561\", \"logical_representation\": [\"2017/07/28\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/07/28?\", \"32 minutes\"], [\"what did I read on 2017/07/28?\", \"a book\"], [\"Did I read on 2017/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11562\", \"logical_representation\": [\"2017/07/28\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/28?\", \"33 minutes\"], [\"what did I watch on tv on 2017/07/28?\", \"news\"], [\"Did I watch tv on 2017/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/30\": {\"breakfast\": {\"eid\": \"e11566\", \"logical_representation\": [\"2017/07/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Hazel, Avery, Eva, Kinsley, Layla, Rylee, Piper, Claire, Olivia, Nora\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/07/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11567\", \"logical_representation\": [\"2017/07/30\", \"Eva, Lydia, Nora, Layla\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Eva, Lydia, Nora, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Nora, Layla during lunch hours on 2017/07/30?\", \"38 minutes\"], [\"who did I talk to on 2017/07/30?\", \"Eva, Lydia, Nora, Layla\"], [\"Did I talk to Eva, Lydia, Nora, Layla on 2017/07/30?\", \"yes\"], [\"Did I talk to anyone on 2017/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11568\", \"logical_representation\": [\"2017/07/30\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/07/30?\", \"6 minutes\"], [\"what did I read on 2017/07/30?\", \"a book\"], [\"Did I read on 2017/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11569\", \"logical_representation\": [\"2017/07/30\", \"news\", \"6 minutes\"], \"text_template_based\": \"I watched news for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/30?\", \"6 minutes\"], [\"what did I watch on tv on 2017/07/30?\", \"news\"], [\"Did I watch tv on 2017/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/31\": {\"exercise\": {\"eid\": \"e11570\", \"logical_representation\": [\"2017/07/31\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/07/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/31?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11571\", \"logical_representation\": [\"2017/07/31\", \"lunch\", \"steak\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/07/31?\", \"Emily\"], [\"what did I eat for lunch on 2017/07/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11572\", \"logical_representation\": [\"2017/07/31\", \"dinner\", \"pasta\", \"Layla, Rylee\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/31\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11573\", \"logical_representation\": [\"2017/07/31\", \"Hazel, Nevaeh, Layla, Lydia\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Hazel, Nevaeh, Layla, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh, Layla, Lydia in the morning on 2017/07/31?\", \"52 minutes\"], [\"who did I talk to on 2017/07/31?\", \"Hazel, Nevaeh, Layla, Lydia\"], [\"Did I talk to Hazel, Nevaeh, Layla, Lydia on 2017/07/31?\", \"yes\"], [\"Did I talk to anyone on 2017/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11574\", \"logical_representation\": [\"2017/07/31\", \"Hazel, Avery, Piper, Kinsley\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Hazel, Avery, Piper, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Piper, Kinsley during lunch hours on 2017/07/31?\", \"47 minutes\"], [\"who did I talk to on 2017/07/31?\", \"Hazel, Avery, Piper, Kinsley\"], [\"Did I talk to Hazel, Avery, Piper, Kinsley on 2017/07/31?\", \"yes\"], [\"Did I talk to anyone on 2017/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11575\", \"logical_representation\": [\"2017/07/31\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/07/31?\", \"49 minutes\"], [\"what did I read on 2017/07/31?\", \"social media\"], [\"Did I read on 2017/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/01\": {\"exercise\": {\"eid\": \"e11576\", \"logical_representation\": [\"2017/08/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11577\", \"logical_representation\": [\"2017/08/01\", \"dinner\", \"steak\", \"Nevaeh, Lydia\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11578\", \"logical_representation\": [\"2017/08/01\", \"Hazel, Nevaeh, Nora\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Hazel, Nevaeh, Nora for 40 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh, Nora in the early afternoon on 2017/08/01?\", \"40 minutes\"], [\"who did I talk to on 2017/08/01?\", \"Hazel, Nevaeh, Nora\"], [\"Did I talk to Hazel, Nevaeh, Nora on 2017/08/01?\", \"yes\"], [\"Did I talk to anyone on 2017/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11579\", \"logical_representation\": [\"2017/08/01\", \"Hazel\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Hazel for 45 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2017/08/01?\", \"45 minutes\"], [\"who did I talk to on 2017/08/01?\", \"Hazel\"], [\"Did I talk to Hazel on 2017/08/01?\", \"yes\"], [\"Did I talk to anyone on 2017/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11580\", \"logical_representation\": [\"2017/08/01\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/08/01?\", \"10 minutes\"], [\"what did I read on 2017/08/01?\", \"news\"], [\"Did I read on 2017/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11581\", \"logical_representation\": [\"2017/08/01\", \"a documentary\", \"55 minutes\"], \"text_template_based\": \"I watched a documentary for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/01?\", \"55 minutes\"], [\"what did I watch on tv on 2017/08/01?\", \"a documentary\"], [\"Did I watch tv on 2017/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/03\": {\"lunch\": {\"eid\": \"e11584\", \"logical_representation\": [\"2017/08/03\", \"lunch\", \"chinese food\", \"Willow\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/08/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11585\", \"logical_representation\": [\"2017/08/03\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/08/03?\", \"17 minutes\"], [\"what did I read on 2017/08/03?\", \"news\"], [\"Did I read on 2017/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11586\", \"logical_representation\": [\"2017/08/03\", \"a movie\", \"38 minutes\"], \"text_template_based\": \"I watched a movie for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/03?\", \"38 minutes\"], [\"what did I watch on tv on 2017/08/03?\", \"a movie\"], [\"Did I watch tv on 2017/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/04\": {\"breakfast\": {\"eid\": \"e11587\", \"logical_representation\": [\"2017/08/04\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11588\", \"logical_representation\": [\"2017/08/04\", \"lunch\", \"steak\", \"Jackson\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/08/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11589\", \"logical_representation\": [\"2017/08/04\", \"dinner\", \"pasta\", \"Avery\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/04\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2017/08/05\": {\"lunch\": {\"eid\": \"e11590\", \"logical_representation\": [\"2017/08/05\", \"lunch\", \"pasta\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Andrew, Carter, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/08/05?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for lunch on 2017/08/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11591\", \"logical_representation\": [\"2017/08/05\", \"Lydia, Avery\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Lydia, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery in the late afternoon on 2017/08/05?\", \"34 minutes\"], [\"who did I talk to on 2017/08/05?\", \"Lydia, Avery\"], [\"Did I talk to Lydia, Avery on 2017/08/05?\", \"yes\"], [\"Did I talk to anyone on 2017/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11592\", \"logical_representation\": [\"2017/08/05\", \"Avery, Nora, Nevaeh, Layla\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Avery, Nora, Nevaeh, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora, Nevaeh, Layla in the early evening on 2017/08/05?\", \"11 minutes\"], [\"who did I talk to on 2017/08/05?\", \"Avery, Nora, Nevaeh, Layla\"], [\"Did I talk to Avery, Nora, Nevaeh, Layla on 2017/08/05?\", \"yes\"], [\"Did I talk to anyone on 2017/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11593\", \"logical_representation\": [\"2017/08/05\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/08/05?\", \"18 minutes\"], [\"what did I read on 2017/08/05?\", \"news\"], [\"Did I read on 2017/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11594\", \"logical_representation\": [\"2017/08/05\", \"a movie\", \"35 minutes\"], \"text_template_based\": \"I watched a movie for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/05?\", \"35 minutes\"], [\"what did I watch on tv on 2017/08/05?\", \"a movie\"], [\"Did I watch tv on 2017/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/06\": {\"exercise\": {\"eid\": \"e11595\", \"logical_representation\": [\"2017/08/06\", \"biking\"], \"text_template_based\": \"I did biking on 2017/08/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/06?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11596\", \"logical_representation\": [\"2017/08/06\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/08/06?\", \"34 minutes\"], [\"what did I read on 2017/08/06?\", \"news\"], [\"Did I read on 2017/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11597\", \"logical_representation\": [\"2017/08/06\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/06?\", \"26 minutes\"], [\"what did I watch on tv on 2017/08/06?\", \"a documentary\"], [\"Did I watch tv on 2017/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/07\": {\"breakfast\": {\"eid\": \"e11598\", \"logical_representation\": [\"2017/08/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11599\", \"logical_representation\": [\"2017/08/07\", \"lunch\", \"a burger\", \"Nevaeh, Layla, Eva, Olivia, Piper, Hazel, Lydia, Nora, Kinsley, Avery\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/08/07\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2017/08/08\": {\"watch tv\": {\"eid\": \"e11600\", \"logical_representation\": [\"2017/08/08\", \"a movie\", \"49 minutes\"], \"text_template_based\": \"I watched a movie for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/08?\", \"49 minutes\"], [\"what did I watch on tv on 2017/08/08?\", \"a movie\"], [\"Did I watch tv on 2017/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/11\": {\"breakfast\": {\"eid\": \"e11611\", \"logical_representation\": [\"2017/08/11\", \"breakfast\", \"pancakes\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11612\", \"logical_representation\": [\"2017/08/11\", \"dinner\", \"tacos\", \"Andrew, Emily\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11613\", \"logical_representation\": [\"2017/08/11\", \"Lydia, Kinsley\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley late in the evening on 2017/08/11?\", \"37 minutes\"], [\"who did I talk to on 2017/08/11?\", \"Lydia, Kinsley\"], [\"Did I talk to Lydia, Kinsley on 2017/08/11?\", \"yes\"], [\"Did I talk to anyone on 2017/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11614\", \"logical_representation\": [\"2017/08/11\", \"Layla, Piper, Olivia\", \"late in the evening\", \"54 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Olivia for 54 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Olivia late in the evening on 2017/08/11?\", \"54 minutes\"], [\"who did I talk to on 2017/08/11?\", \"Layla, Piper, Olivia\"], [\"Did I talk to Layla, Piper, Olivia on 2017/08/11?\", \"yes\"], [\"Did I talk to anyone on 2017/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11615\", \"logical_representation\": [\"2017/08/11\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/11?\", \"23 minutes\"], [\"what did I watch on tv on 2017/08/11?\", \"a tv series\"], [\"Did I watch tv on 2017/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/12\": {\"breakfast\": {\"eid\": \"e11616\", \"logical_representation\": [\"2017/08/12\", \"breakfast\", \"cereals\", \"Eva, Lydia, Avery, Rylee, Nevaeh, Layla, Hazel, Olivia, Nora, Claire, Piper, Kinsley\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11617\", \"logical_representation\": [\"2017/08/12\", \"lunch\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/08/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11618\", \"logical_representation\": [\"2017/08/12\", \"dinner\", \"fish and chips\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11619\", \"logical_representation\": [\"2017/08/12\", \"Nora\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I talked to Nora for 47 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2017/08/12?\", \"47 minutes\"], [\"who did I talk to on 2017/08/12?\", \"Nora\"], [\"Did I talk to Nora on 2017/08/12?\", \"yes\"], [\"Did I talk to anyone on 2017/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11620\", \"logical_representation\": [\"2017/08/12\", \"Hazel, Avery\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Hazel, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery in the morning on 2017/08/12?\", \"41 minutes\"], [\"who did I talk to on 2017/08/12?\", \"Hazel, Avery\"], [\"Did I talk to Hazel, Avery on 2017/08/12?\", \"yes\"], [\"Did I talk to anyone on 2017/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11621\", \"logical_representation\": [\"2017/08/12\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/08/12?\", \"19 minutes\"], [\"what did I read on 2017/08/12?\", \"news\"], [\"Did I read on 2017/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11622\", \"logical_representation\": [\"2017/08/12\", \"news\", \"34 minutes\"], \"text_template_based\": \"I watched news for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/12?\", \"34 minutes\"], [\"what did I watch on tv on 2017/08/12?\", \"news\"], [\"Did I watch tv on 2017/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/13\": {\"exercise\": {\"eid\": \"e11623\", \"logical_representation\": [\"2017/08/13\", \"running\"], \"text_template_based\": \"I did running on 2017/08/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/13?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11624\", \"logical_representation\": [\"2017/08/13\", \"lunch\", \"sandwich\", \"Olivia, Rylee, Avery, Layla, Claire, Piper, Eva, Kinsley, Lydia, Nora, Hazel, Piper, Nevaeh\"], \"text_template_based\": \"I had sandwich for lunch with Olivia, Rylee, Avery, Layla, Claire, Piper, Eva, Kinsley, Lydia, Nora, Hazel, Piper, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/08/13?\", \"Olivia, Rylee, Avery, Layla, Claire, Piper, Eva, Kinsley, Lydia, Nora, Hazel, Piper, Nevaeh\"], [\"what did I eat for lunch on 2017/08/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11625\", \"logical_representation\": [\"2017/08/13\", \"Rylee, Claire, Eva, Olivia\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Rylee, Claire, Eva, Olivia for 41 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Eva, Olivia late in the evening on 2017/08/13?\", \"41 minutes\"], [\"who did I talk to on 2017/08/13?\", \"Rylee, Claire, Eva, Olivia\"], [\"Did I talk to Rylee, Claire, Eva, Olivia on 2017/08/13?\", \"yes\"], [\"Did I talk to anyone on 2017/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/15\": {\"breakfast\": {\"eid\": \"e11630\", \"logical_representation\": [\"2017/08/15\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11631\", \"logical_representation\": [\"2017/08/15\", \"lunch\", \"sushi\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/08/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11632\", \"logical_representation\": [\"2017/08/15\", \"dinner\", \"pasta\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11633\", \"logical_representation\": [\"2017/08/15\", \"Claire, Nora, Hazel\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Hazel for 11 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Hazel in the early evening on 2017/08/15?\", \"11 minutes\"], [\"who did I talk to on 2017/08/15?\", \"Claire, Nora, Hazel\"], [\"Did I talk to Claire, Nora, Hazel on 2017/08/15?\", \"yes\"], [\"Did I talk to anyone on 2017/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11634\", \"logical_representation\": [\"2017/08/15\", \"Eva\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2017/08/15?\", \"10 minutes\"], [\"who did I talk to on 2017/08/15?\", \"Eva\"], [\"Did I talk to Eva on 2017/08/15?\", \"yes\"], [\"Did I talk to anyone on 2017/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11635\", \"logical_representation\": [\"2017/08/15\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I watched a tv series for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/15?\", \"39 minutes\"], [\"what did I watch on tv on 2017/08/15?\", \"a tv series\"], [\"Did I watch tv on 2017/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/17\": {\"lunch\": {\"eid\": \"e11639\", \"logical_representation\": [\"2017/08/17\", \"lunch\", \"pasta\", \"Nevaeh, Claire, Eva, Nora, Hazel, Kinsley, Piper, Lydia, Avery, Olivia, Piper, Rylee, Layla\"], \"text_template_based\": \"I had lunch with Nevaeh, Claire, Eva, Nora, Hazel, Kinsley, Piper, Lydia, Avery, Olivia, Piper, Rylee, Layla. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/08/17?\", \"Nevaeh, Claire, Eva, Nora, Hazel, Kinsley, Piper, Lydia, Avery, Olivia, Piper, Rylee, Layla\"], [\"what did I eat for lunch on 2017/08/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11640\", \"logical_representation\": [\"2017/08/17\", \"dinner\", \"steak\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/08/17?\", \"Carter\"], [\"what did I eat for dinner on 2017/08/17\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2017/08/18\": {\"breakfast\": {\"eid\": \"e11641\", \"logical_representation\": [\"2017/08/18\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11642\", \"logical_representation\": [\"2017/08/18\", \"Rylee, Olivia, Eva\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Rylee, Olivia, Eva for 11 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia, Eva in the late afternoon on 2017/08/18?\", \"11 minutes\"], [\"who did I talk to on 2017/08/18?\", \"Rylee, Olivia, Eva\"], [\"Did I talk to Rylee, Olivia, Eva on 2017/08/18?\", \"yes\"], [\"Did I talk to anyone on 2017/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11643\", \"logical_representation\": [\"2017/08/18\", \"Layla, Piper\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Layla, Piper for 37 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper in the early evening on 2017/08/18?\", \"37 minutes\"], [\"who did I talk to on 2017/08/18?\", \"Layla, Piper\"], [\"Did I talk to Layla, Piper on 2017/08/18?\", \"yes\"], [\"Did I talk to anyone on 2017/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11644\", \"logical_representation\": [\"2017/08/18\", \"a tv series\", \"19 minutes\"], \"text_template_based\": \"I watched a tv series for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/18?\", \"19 minutes\"], [\"what did I watch on tv on 2017/08/18?\", \"a tv series\"], [\"Did I watch tv on 2017/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/21\": {\"breakfast\": {\"eid\": \"e11653\", \"logical_representation\": [\"2017/08/21\", \"breakfast\", \"pancakes\", \"Claire, Kinsley, Avery\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11654\", \"logical_representation\": [\"2017/08/21\", \"lunch\", \"sandwich\", \"Rylee, Olivia, Piper\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/08/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11655\", \"logical_representation\": [\"2017/08/21\", \"dinner\", \"sushi\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11656\", \"logical_representation\": [\"2017/08/21\", \"Nora, Layla, Eva\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Nora, Layla, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Eva in the late afternoon on 2017/08/21?\", \"55 minutes\"], [\"who did I talk to on 2017/08/21?\", \"Nora, Layla, Eva\"], [\"Did I talk to Nora, Layla, Eva on 2017/08/21?\", \"yes\"], [\"Did I talk to anyone on 2017/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11657\", \"logical_representation\": [\"2017/08/21\", \"Piper\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Piper for 26 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2017/08/21?\", \"26 minutes\"], [\"who did I talk to on 2017/08/21?\", \"Piper\"], [\"Did I talk to Piper on 2017/08/21?\", \"yes\"], [\"Did I talk to anyone on 2017/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/22\": {\"lunch\": {\"eid\": \"e11658\", \"logical_representation\": [\"2017/08/22\", \"lunch\", \"steak\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had steak for lunch with Jackson, Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/08/22?\", \"Jackson, Avery, Benjamin\"], [\"what did I eat for lunch on 2017/08/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11659\", \"logical_representation\": [\"2017/08/22\", \"Piper, Nora, Eva, Hazel\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Eva, Hazel for 43 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Eva, Hazel in the late afternoon on 2017/08/22?\", \"43 minutes\"], [\"who did I talk to on 2017/08/22?\", \"Piper, Nora, Eva, Hazel\"], [\"Did I talk to Piper, Nora, Eva, Hazel on 2017/08/22?\", \"yes\"], [\"Did I talk to anyone on 2017/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11660\", \"logical_representation\": [\"2017/08/22\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/08/22?\", \"31 minutes\"], [\"what did I read on 2017/08/22?\", \"news\"], [\"Did I read on 2017/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/23\": {\"exercise\": {\"eid\": \"e11661\", \"logical_representation\": [\"2017/08/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/08/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11662\", \"logical_representation\": [\"2017/08/23\", \"lunch\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/08/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11663\", \"logical_representation\": [\"2017/08/23\", \"dinner\", \"chinese food\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11664\", \"logical_representation\": [\"2017/08/23\", \"Olivia, Nevaeh, Avery\", \"in the early evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Olivia, Nevaeh, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh, Avery in the early evening on 2017/08/23?\", \"21 minutes\"], [\"who did I talk to on 2017/08/23?\", \"Olivia, Nevaeh, Avery\"], [\"Did I talk to Olivia, Nevaeh, Avery on 2017/08/23?\", \"yes\"], [\"Did I talk to anyone on 2017/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11665\", \"logical_representation\": [\"2017/08/23\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/08/23?\", \"22 minutes\"], [\"what did I read on 2017/08/23?\", \"news\"], [\"Did I read on 2017/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11666\", \"logical_representation\": [\"2017/08/23\", \"a movie\", \"34 minutes\"], \"text_template_based\": \"I watched a movie for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/23?\", \"34 minutes\"], [\"what did I watch on tv on 2017/08/23?\", \"a movie\"], [\"Did I watch tv on 2017/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/26\": {\"exercise\": {\"eid\": \"e11675\", \"logical_representation\": [\"2017/08/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/08/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11676\", \"logical_representation\": [\"2017/08/26\", \"lunch\", \"indian food\", \"Olivia, Nora, Lydia, Claire, Kinsley, Piper, Piper, Nevaeh, Layla\"], \"text_template_based\": \"I had indian food for lunch with Olivia, Nora, Lydia, Claire, Kinsley, Piper, Piper, Nevaeh, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/08/26?\", \"Olivia, Nora, Lydia, Claire, Kinsley, Piper, Piper, Nevaeh, Layla\"], [\"what did I eat for lunch on 2017/08/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11677\", \"logical_representation\": [\"2017/08/26\", \"dinner\", \"a burger\", \"Hazel, Eva, Lydia, Kinsley, Nevaeh, Piper, Nora, Layla, Rylee, Avery, Olivia\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11678\", \"logical_representation\": [\"2017/08/26\", \"Kinsley, Rylee, Avery\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Kinsley, Rylee, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Avery in the morning on 2017/08/26?\", \"52 minutes\"], [\"who did I talk to on 2017/08/26?\", \"Kinsley, Rylee, Avery\"], [\"Did I talk to Kinsley, Rylee, Avery on 2017/08/26?\", \"yes\"], [\"Did I talk to anyone on 2017/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11679\", \"logical_representation\": [\"2017/08/26\", \"a book\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/08/26?\", \"21 minutes\"], [\"what did I read on 2017/08/26?\", \"a book\"], [\"Did I read on 2017/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11680\", \"logical_representation\": [\"2017/08/26\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I watched a movie for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/26?\", \"7 minutes\"], [\"what did I watch on tv on 2017/08/26?\", \"a movie\"], [\"Did I watch tv on 2017/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/27\": {\"dinner\": {\"eid\": \"e11681\", \"logical_representation\": [\"2017/08/27\", \"dinner\", \"chinese food\", \"Carter, Kayden\"], \"text_template_based\": \"I had chinese food for dinner with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/08/27?\", \"Carter, Kayden\"], [\"what did I eat for dinner on 2017/08/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11682\", \"logical_representation\": [\"2017/08/27\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/27?\", \"42 minutes\"], [\"what did I watch on tv on 2017/08/27?\", \"a documentary\"], [\"Did I watch tv on 2017/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/28\": {\"breakfast\": {\"eid\": \"e11683\", \"logical_representation\": [\"2017/08/28\", \"breakfast\", \"cereals\", \"Willow\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11684\", \"logical_representation\": [\"2017/08/28\", \"lunch\", \"tacos\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/08/28?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2017/08/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11685\", \"logical_representation\": [\"2017/08/28\", \"dinner\", \"indian food\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11686\", \"logical_representation\": [\"2017/08/28\", \"Olivia, Hazel, Eva\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Olivia, Hazel, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Eva in the early evening on 2017/08/28?\", \"20 minutes\"], [\"who did I talk to on 2017/08/28?\", \"Olivia, Hazel, Eva\"], [\"Did I talk to Olivia, Hazel, Eva on 2017/08/28?\", \"yes\"], [\"Did I talk to anyone on 2017/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11687\", \"logical_representation\": [\"2017/08/28\", \"Layla, Lydia, Nora\", \"in the early evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Layla, Lydia, Nora for 21 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Nora in the early evening on 2017/08/28?\", \"21 minutes\"], [\"who did I talk to on 2017/08/28?\", \"Layla, Lydia, Nora\"], [\"Did I talk to Layla, Lydia, Nora on 2017/08/28?\", \"yes\"], [\"Did I talk to anyone on 2017/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11688\", \"logical_representation\": [\"2017/08/28\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/08/28?\", \"27 minutes\"], [\"what did I read on 2017/08/28?\", \"a book\"], [\"Did I read on 2017/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11689\", \"logical_representation\": [\"2017/08/28\", \"a documentary\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/28?\", \"28 minutes\"], [\"what did I watch on tv on 2017/08/28?\", \"a documentary\"], [\"Did I watch tv on 2017/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/29\": {\"lunch\": {\"eid\": \"e11690\", \"logical_representation\": [\"2017/08/29\", \"lunch\", \"sandwich\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/08/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11691\", \"logical_representation\": [\"2017/08/29\", \"Layla, Olivia\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I talked to Layla, Olivia for 54 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia in the morning on 2017/08/29?\", \"54 minutes\"], [\"who did I talk to on 2017/08/29?\", \"Layla, Olivia\"], [\"Did I talk to Layla, Olivia on 2017/08/29?\", \"yes\"], [\"Did I talk to anyone on 2017/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11692\", \"logical_representation\": [\"2017/08/29\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/29?\", \"42 minutes\"], [\"what did I watch on tv on 2017/08/29?\", \"a tv series\"], [\"Did I watch tv on 2017/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/30\": {\"breakfast\": {\"eid\": \"e11693\", \"logical_representation\": [\"2017/08/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11694\", \"logical_representation\": [\"2017/08/30\", \"lunch\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/08/30?\", \"Kayden\"], [\"what did I eat for lunch on 2017/08/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11695\", \"logical_representation\": [\"2017/08/30\", \"dinner\", \"sandwich\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/08/30?\", \"Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2017/08/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11696\", \"logical_representation\": [\"2017/08/30\", \"social media\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/08/30?\", \"41 minutes\"], [\"what did I read on 2017/08/30?\", \"social media\"], [\"Did I read on 2017/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11697\", \"logical_representation\": [\"2017/08/30\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I watched a movie for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/30?\", \"6 minutes\"], [\"what did I watch on tv on 2017/08/30?\", \"a movie\"], [\"Did I watch tv on 2017/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/01\": {\"exercise\": {\"eid\": \"e11702\", \"logical_representation\": [\"2017/09/01\", \"running\"], \"text_template_based\": \"I did running on 2017/09/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11703\", \"logical_representation\": [\"2017/09/01\", \"Piper\", \"in the early evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2017/09/01?\", \"13 minutes\"], [\"who did I talk to on 2017/09/01?\", \"Piper\"], [\"Did I talk to Piper on 2017/09/01?\", \"yes\"], [\"Did I talk to anyone on 2017/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/02\": {\"breakfast\": {\"eid\": \"e11704\", \"logical_representation\": [\"2017/09/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Carter, Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/02?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for breakfast on 2017/09/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11705\", \"logical_representation\": [\"2017/09/02\", \"dinner\", \"chinese food\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/09/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11706\", \"logical_representation\": [\"2017/09/02\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/09/02?\", \"19 minutes\"], [\"what did I read on 2017/09/02?\", \"social media\"], [\"Did I read on 2017/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/03\": {\"lunch\": {\"eid\": \"e11707\", \"logical_representation\": [\"2017/09/03\", \"lunch\", \"tacos\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11708\", \"logical_representation\": [\"2017/09/03\", \"Nevaeh, Hazel, Olivia, Nora\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Nevaeh, Hazel, Olivia, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Olivia, Nora in the morning on 2017/09/03?\", \"52 minutes\"], [\"who did I talk to on 2017/09/03?\", \"Nevaeh, Hazel, Olivia, Nora\"], [\"Did I talk to Nevaeh, Hazel, Olivia, Nora on 2017/09/03?\", \"yes\"], [\"Did I talk to anyone on 2017/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11709\", \"logical_representation\": [\"2017/09/03\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I watched a tv series for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/03?\", \"55 minutes\"], [\"what did I watch on tv on 2017/09/03?\", \"a tv series\"], [\"Did I watch tv on 2017/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/04\": {\"exercise\": {\"eid\": \"e11710\", \"logical_representation\": [\"2017/09/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/09/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11711\", \"logical_representation\": [\"2017/09/04\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/04?\", \"Andrew\"], [\"what did I eat for breakfast on 2017/09/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11712\", \"logical_representation\": [\"2017/09/04\", \"lunch\", \"sandwich\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11713\", \"logical_representation\": [\"2017/09/04\", \"dinner\", \"sandwich\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had sandwich for dinner with Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/09/04?\", \"Emily, Kayden, Carter\"], [\"what did I eat for dinner on 2017/09/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11714\", \"logical_representation\": [\"2017/09/04\", \"Olivia, Avery, Piper, Layla\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Olivia, Avery, Piper, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Piper, Layla in the early evening on 2017/09/04?\", \"11 minutes\"], [\"who did I talk to on 2017/09/04?\", \"Olivia, Avery, Piper, Layla\"], [\"Did I talk to Olivia, Avery, Piper, Layla on 2017/09/04?\", \"yes\"], [\"Did I talk to anyone on 2017/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/06\": {\"breakfast\": {\"eid\": \"e11718\", \"logical_representation\": [\"2017/09/06\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Carter. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/06?\", \"Emily, Carter\"], [\"what did I eat for breakfast on 2017/09/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11719\", \"logical_representation\": [\"2017/09/06\", \"lunch\", \"steak\", \"Carter\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11720\", \"logical_representation\": [\"2017/09/06\", \"dinner\", \"tacos\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/09/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11721\", \"logical_representation\": [\"2017/09/06\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/09/06?\", \"12 minutes\"], [\"what did I read on 2017/09/06?\", \"a book\"], [\"Did I read on 2017/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11722\", \"logical_representation\": [\"2017/09/06\", \"a movie\", \"31 minutes\"], \"text_template_based\": \"I watched a movie for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/06?\", \"31 minutes\"], [\"what did I watch on tv on 2017/09/06?\", \"a movie\"], [\"Did I watch tv on 2017/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/07\": {\"chat0\": {\"eid\": \"e11723\", \"logical_representation\": [\"2017/09/07\", \"Eva, Hazel, Layla, Piper\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel, Layla, Piper for 23 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Layla, Piper in the late afternoon on 2017/09/07?\", \"23 minutes\"], [\"who did I talk to on 2017/09/07?\", \"Eva, Hazel, Layla, Piper\"], [\"Did I talk to Eva, Hazel, Layla, Piper on 2017/09/07?\", \"yes\"], [\"Did I talk to anyone on 2017/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11724\", \"logical_representation\": [\"2017/09/07\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/07?\", \"12 minutes\"], [\"what did I watch on tv on 2017/09/07?\", \"news\"], [\"Did I watch tv on 2017/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/09\": {\"exercise\": {\"eid\": \"e11728\", \"logical_representation\": [\"2017/09/09\", \"biking\"], \"text_template_based\": \"I did biking on 2017/09/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11729\", \"logical_representation\": [\"2017/09/09\", \"breakfast\", \"cereals\", \"Piper, Rylee\"], \"text_template_based\": \"I had cereals for breakfast with Piper, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/09?\", \"Piper, Rylee\"], [\"what did I eat for breakfast on 2017/09/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11730\", \"logical_representation\": [\"2017/09/09\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11731\", \"logical_representation\": [\"2017/09/09\", \"dinner\", \"chinese food\", \"Eva, Kinsley, Nora, Piper, Nevaeh, Piper, Rylee, Claire, Hazel, Olivia\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/09/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11732\", \"logical_representation\": [\"2017/09/09\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/09/09?\", \"35 minutes\"], [\"what did I read on 2017/09/09?\", \"social media\"], [\"Did I read on 2017/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/10\": {\"exercise\": {\"eid\": \"e11733\", \"logical_representation\": [\"2017/09/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/09/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11734\", \"logical_representation\": [\"2017/09/10\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Jackson, Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/10?\", \"Jackson, Avery, Benjamin\"], [\"what did I eat for breakfast on 2017/09/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11735\", \"logical_representation\": [\"2017/09/10\", \"lunch\", \"fish and chips\", \"Piper, Nevaeh, Hazel, Lydia, Layla, Kinsley, Claire, Eva\"], \"text_template_based\": \"I had fish and chips for lunch with Piper, Nevaeh, Hazel, Lydia, Layla, Kinsley, Claire, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/09/10?\", \"Piper, Nevaeh, Hazel, Lydia, Layla, Kinsley, Claire, Eva\"], [\"what did I eat for lunch on 2017/09/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11736\", \"logical_representation\": [\"2017/09/10\", \"dinner\", \"pasta\", \"Nora, Olivia, Avery, Rylee, Nevaeh, Eva, Claire, Lydia, Hazel, Piper, Layla, Kinsley\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/09/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11737\", \"logical_representation\": [\"2017/09/10\", \"Claire, Eva, Kinsley\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Claire, Eva, Kinsley for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Kinsley late in the evening on 2017/09/10?\", \"37 minutes\"], [\"who did I talk to on 2017/09/10?\", \"Claire, Eva, Kinsley\"], [\"Did I talk to Claire, Eva, Kinsley on 2017/09/10?\", \"yes\"], [\"Did I talk to anyone on 2017/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11738\", \"logical_representation\": [\"2017/09/10\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/09/10?\", \"23 minutes\"], [\"what did I read on 2017/09/10?\", \"news\"], [\"Did I read on 2017/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11739\", \"logical_representation\": [\"2017/09/10\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I watched a movie for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/10?\", \"12 minutes\"], [\"what did I watch on tv on 2017/09/10?\", \"a movie\"], [\"Did I watch tv on 2017/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/12\": {\"breakfast\": {\"eid\": \"e11743\", \"logical_representation\": [\"2017/09/12\", \"breakfast\", \"oatmeal\", \"Jackson\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/09/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11744\", \"logical_representation\": [\"2017/09/12\", \"lunch\", \"a burger\", \"Willow, Jackson\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11745\", \"logical_representation\": [\"2017/09/12\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I watched a movie for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/12?\", \"26 minutes\"], [\"what did I watch on tv on 2017/09/12?\", \"a movie\"], [\"Did I watch tv on 2017/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/14\": {\"exercise\": {\"eid\": \"e11748\", \"logical_representation\": [\"2017/09/14\", \"biking\"], \"text_template_based\": \"I did biking on 2017/09/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11749\", \"logical_representation\": [\"2017/09/14\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11750\", \"logical_representation\": [\"2017/09/14\", \"dinner\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had fish and chips for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/09/14?\", \"Emily\"], [\"what did I eat for dinner on 2017/09/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11751\", \"logical_representation\": [\"2017/09/14\", \"Olivia\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the late afternoon on 2017/09/14?\", \"27 minutes\"], [\"who did I talk to on 2017/09/14?\", \"Olivia\"], [\"Did I talk to Olivia on 2017/09/14?\", \"yes\"], [\"Did I talk to anyone on 2017/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11752\", \"logical_representation\": [\"2017/09/14\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/09/14?\", \"12 minutes\"], [\"what did I read on 2017/09/14?\", \"news\"], [\"Did I read on 2017/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11753\", \"logical_representation\": [\"2017/09/14\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/14?\", \"43 minutes\"], [\"what did I watch on tv on 2017/09/14?\", \"a tv series\"], [\"Did I watch tv on 2017/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/15\": {\"exercise\": {\"eid\": \"e11754\", \"logical_representation\": [\"2017/09/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11755\", \"logical_representation\": [\"2017/09/15\", \"lunch\", \"a burger\", \"Avery\"], \"text_template_based\": \"I had a burger for lunch with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/09/15?\", \"Avery\"], [\"what did I eat for lunch on 2017/09/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11756\", \"logical_representation\": [\"2017/09/15\", \"dinner\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/09/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11757\", \"logical_representation\": [\"2017/09/15\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/09/15?\", \"22 minutes\"], [\"what did I read on 2017/09/15?\", \"a book\"], [\"Did I read on 2017/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11758\", \"logical_representation\": [\"2017/09/15\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/15?\", \"46 minutes\"], [\"what did I watch on tv on 2017/09/15?\", \"a movie\"], [\"Did I watch tv on 2017/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/16\": {\"exercise\": {\"eid\": \"e11759\", \"logical_representation\": [\"2017/09/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11760\", \"logical_representation\": [\"2017/09/16\", \"breakfast\", \"cereals\", \"Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/09/16\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11761\", \"logical_representation\": [\"2017/09/16\", \"Eva, Claire\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Eva, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire during lunch hours on 2017/09/16?\", \"13 minutes\"], [\"who did I talk to on 2017/09/16?\", \"Eva, Claire\"], [\"Did I talk to Eva, Claire on 2017/09/16?\", \"yes\"], [\"Did I talk to anyone on 2017/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11762\", \"logical_representation\": [\"2017/09/16\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/09/16?\", \"15 minutes\"], [\"what did I read on 2017/09/16?\", \"news\"], [\"Did I read on 2017/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/17\": {\"lunch\": {\"eid\": \"e11763\", \"logical_representation\": [\"2017/09/17\", \"lunch\", \"steak\", \"Piper, Nora, Olivia, Eva, Lydia, Claire, Kinsley, Piper, Rylee, Nevaeh, Hazel, Avery\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11764\", \"logical_representation\": [\"2017/09/17\", \"dinner\", \"sushi\", \"Avery, Rylee, Lydia, Nevaeh, Eva, Hazel, Nora, Olivia, Layla, Claire, Kinsley, Piper\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/09/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11765\", \"logical_representation\": [\"2017/09/17\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/09/17?\", \"19 minutes\"], [\"what did I read on 2017/09/17?\", \"news\"], [\"Did I read on 2017/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/18\": {\"breakfast\": {\"eid\": \"e11766\", \"logical_representation\": [\"2017/09/18\", \"breakfast\", \"pancakes\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/09/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11767\", \"logical_representation\": [\"2017/09/18\", \"lunch\", \"indian food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Carter, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/09/18?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2017/09/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11768\", \"logical_representation\": [\"2017/09/18\", \"dinner\", \"pasta\", \"Carter, Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/09/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11769\", \"logical_representation\": [\"2017/09/18\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/18?\", \"13 minutes\"], [\"what did I watch on tv on 2017/09/18?\", \"a movie\"], [\"Did I watch tv on 2017/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/19\": {\"breakfast\": {\"eid\": \"e11770\", \"logical_representation\": [\"2017/09/19\", \"breakfast\", \"cereals\", \"Willow, Jackson\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/09/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11771\", \"logical_representation\": [\"2017/09/19\", \"lunch\", \"a burger\", \"Lydia, Layla, Eva, Nevaeh\"], \"text_template_based\": \"I had lunch with Lydia, Layla, Eva, Nevaeh. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/09/19?\", \"Lydia, Layla, Eva, Nevaeh\"], [\"what did I eat for lunch on 2017/09/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11772\", \"logical_representation\": [\"2017/09/19\", \"dinner\", \"chinese food\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had chinese food for dinner with Kayden, Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/09/19?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for dinner on 2017/09/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2017/09/20\": {\"breakfast\": {\"eid\": \"e11773\", \"logical_representation\": [\"2017/09/20\", \"breakfast\", \"pancakes\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had breakfast with Carter, Kayden, Emily, Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/20?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for breakfast on 2017/09/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11774\", \"logical_representation\": [\"2017/09/20\", \"lunch\", \"a burger\", \"Olivia, Hazel, Eva, Layla, Piper\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11775\", \"logical_representation\": [\"2017/09/20\", \"Kinsley\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I talked to Kinsley for 44 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the morning on 2017/09/20?\", \"44 minutes\"], [\"who did I talk to on 2017/09/20?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2017/09/20?\", \"yes\"], [\"Did I talk to anyone on 2017/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11776\", \"logical_representation\": [\"2017/09/20\", \"Piper\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I talked to Piper for 35 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2017/09/20?\", \"35 minutes\"], [\"who did I talk to on 2017/09/20?\", \"Piper\"], [\"Did I talk to Piper on 2017/09/20?\", \"yes\"], [\"Did I talk to anyone on 2017/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11777\", \"logical_representation\": [\"2017/09/20\", \"news\", \"34 minutes\"], \"text_template_based\": \"I watched news for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/20?\", \"34 minutes\"], [\"what did I watch on tv on 2017/09/20?\", \"news\"], [\"Did I watch tv on 2017/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/21\": {\"breakfast\": {\"eid\": \"e11778\", \"logical_representation\": [\"2017/09/21\", \"breakfast\", \"pancakes\", \"Claire, Kinsley, Lydia, Nora, Piper, Layla, Rylee, Piper\"], \"text_template_based\": \"I had breakfast with Claire, Kinsley, Lydia, Nora, Piper, Layla, Rylee, Piper. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/21?\", \"Claire, Kinsley, Lydia, Nora, Piper, Layla, Rylee, Piper\"], [\"what did I eat for breakfast on 2017/09/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11779\", \"logical_representation\": [\"2017/09/21\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11780\", \"logical_representation\": [\"2017/09/21\", \"Nora\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2017/09/21?\", \"34 minutes\"], [\"who did I talk to on 2017/09/21?\", \"Nora\"], [\"Did I talk to Nora on 2017/09/21?\", \"yes\"], [\"Did I talk to anyone on 2017/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/22\": {\"exercise\": {\"eid\": \"e11781\", \"logical_representation\": [\"2017/09/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/09/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11782\", \"logical_representation\": [\"2017/09/22\", \"breakfast\", \"cereals\", \"Lydia, Nora, Nevaeh, Piper, Claire, Eva, Kinsley, Olivia\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/09/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11783\", \"logical_representation\": [\"2017/09/22\", \"dinner\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/09/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11784\", \"logical_representation\": [\"2017/09/22\", \"Avery, Nora\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I talked to Avery, Nora for 27 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora in the early afternoon on 2017/09/22?\", \"27 minutes\"], [\"who did I talk to on 2017/09/22?\", \"Avery, Nora\"], [\"Did I talk to Avery, Nora on 2017/09/22?\", \"yes\"], [\"Did I talk to anyone on 2017/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11785\", \"logical_representation\": [\"2017/09/22\", \"social media\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/09/22?\", \"15 minutes\"], [\"what did I read on 2017/09/22?\", \"social media\"], [\"Did I read on 2017/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11786\", \"logical_representation\": [\"2017/09/22\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/22?\", \"28 minutes\"], [\"what did I watch on tv on 2017/09/22?\", \"a movie\"], [\"Did I watch tv on 2017/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/23\": {\"exercise\": {\"eid\": \"e11787\", \"logical_representation\": [\"2017/09/23\", \"biking\"], \"text_template_based\": \"I did biking on 2017/09/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/23?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11788\", \"logical_representation\": [\"2017/09/23\", \"lunch\", \"pasta\", \"Kayden, Andrew\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11789\", \"logical_representation\": [\"2017/09/23\", \"Layla, Lydia, Nevaeh, Nora\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Layla, Lydia, Nevaeh, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Nevaeh, Nora in the late afternoon on 2017/09/23?\", \"17 minutes\"], [\"who did I talk to on 2017/09/23?\", \"Layla, Lydia, Nevaeh, Nora\"], [\"Did I talk to Layla, Lydia, Nevaeh, Nora on 2017/09/23?\", \"yes\"], [\"Did I talk to anyone on 2017/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11790\", \"logical_representation\": [\"2017/09/23\", \"Lydia, Claire, Nora\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Lydia, Claire, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Nora late in the evening on 2017/09/23?\", \"12 minutes\"], [\"who did I talk to on 2017/09/23?\", \"Lydia, Claire, Nora\"], [\"Did I talk to Lydia, Claire, Nora on 2017/09/23?\", \"yes\"], [\"Did I talk to anyone on 2017/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/24\": {\"exercise\": {\"eid\": \"e11791\", \"logical_representation\": [\"2017/09/24\", \"biking\"], \"text_template_based\": \"I did biking on 2017/09/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11792\", \"logical_representation\": [\"2017/09/24\", \"lunch\", \"indian food\", \"Carter, Emily\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/24\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11793\", \"logical_representation\": [\"2017/09/24\", \"dinner\", \"fish and chips\", \"Claire, Lydia, Avery, Piper, Piper, Olivia, Eva, Nevaeh, Kinsley, Rylee, Layla, Nora, Hazel\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/09/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11794\", \"logical_representation\": [\"2017/09/24\", \"Lydia, Kinsley\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Lydia, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley late in the evening on 2017/09/24?\", \"40 minutes\"], [\"who did I talk to on 2017/09/24?\", \"Lydia, Kinsley\"], [\"Did I talk to Lydia, Kinsley on 2017/09/24?\", \"yes\"], [\"Did I talk to anyone on 2017/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11795\", \"logical_representation\": [\"2017/09/24\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/09/24?\", \"34 minutes\"], [\"what did I read on 2017/09/24?\", \"news\"], [\"Did I read on 2017/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11796\", \"logical_representation\": [\"2017/09/24\", \"news\", \"13 minutes\"], \"text_template_based\": \"I watched news for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/24?\", \"13 minutes\"], [\"what did I watch on tv on 2017/09/24?\", \"news\"], [\"Did I watch tv on 2017/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/25\": {\"breakfast\": {\"eid\": \"e11797\", \"logical_representation\": [\"2017/09/25\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/09/25\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11798\", \"logical_representation\": [\"2017/09/25\", \"lunch\", \"pasta\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/25\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2017/09/26\": {\"breakfast\": {\"eid\": \"e11799\", \"logical_representation\": [\"2017/09/26\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Emily. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/26?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2017/09/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11800\", \"logical_representation\": [\"2017/09/26\", \"lunch\", \"sandwich\", \"Piper, Lydia, Olivia, Nora, Eva, Rylee, Nevaeh, Kinsley\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11801\", \"logical_representation\": [\"2017/09/26\", \"dinner\", \"sandwich\", \"Layla, Claire\"], \"text_template_based\": \"I had dinner with Layla, Claire. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/09/26?\", \"Layla, Claire\"], [\"what did I eat for dinner on 2017/09/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11802\", \"logical_representation\": [\"2017/09/26\", \"Rylee\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I talked to Rylee for 28 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2017/09/26?\", \"28 minutes\"], [\"who did I talk to on 2017/09/26?\", \"Rylee\"], [\"Did I talk to Rylee on 2017/09/26?\", \"yes\"], [\"Did I talk to anyone on 2017/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/27\": {\"breakfast\": {\"eid\": \"e11803\", \"logical_representation\": [\"2017/09/27\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/27?\", \"Kayden\"], [\"what did I eat for breakfast on 2017/09/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11804\", \"logical_representation\": [\"2017/09/27\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/27?\", \"28 minutes\"], [\"what did I watch on tv on 2017/09/27?\", \"a movie\"], [\"Did I watch tv on 2017/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/28\": {\"exercise\": {\"eid\": \"e11805\", \"logical_representation\": [\"2017/09/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/09/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11806\", \"logical_representation\": [\"2017/09/28\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/09/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11807\", \"logical_representation\": [\"2017/09/28\", \"lunch\", \"indian food\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11808\", \"logical_representation\": [\"2017/09/28\", \"Claire, Olivia, Rylee, Nevaeh\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia, Rylee, Nevaeh for 23 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Rylee, Nevaeh in the early evening on 2017/09/28?\", \"23 minutes\"], [\"who did I talk to on 2017/09/28?\", \"Claire, Olivia, Rylee, Nevaeh\"], [\"Did I talk to Claire, Olivia, Rylee, Nevaeh on 2017/09/28?\", \"yes\"], [\"Did I talk to anyone on 2017/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11809\", \"logical_representation\": [\"2017/09/28\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/28?\", \"11 minutes\"], [\"what did I watch on tv on 2017/09/28?\", \"a movie\"], [\"Did I watch tv on 2017/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/29\": {\"exercise\": {\"eid\": \"e11810\", \"logical_representation\": [\"2017/09/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/09/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11811\", \"logical_representation\": [\"2017/09/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/09/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11812\", \"logical_representation\": [\"2017/09/29\", \"lunch\", \"chinese food\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had chinese food for lunch with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/09/29?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2017/09/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11813\", \"logical_representation\": [\"2017/09/29\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/09/29?\", \"Emily\"], [\"what did I eat for dinner on 2017/09/29\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2017/10/02\": {\"exercise\": {\"eid\": \"e11821\", \"logical_representation\": [\"2017/10/02\", \"running\"], \"text_template_based\": \"I did running on 2017/10/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11822\", \"logical_representation\": [\"2017/10/02\", \"lunch\", \"sushi\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11823\", \"logical_representation\": [\"2017/10/02\", \"Nora, Rylee\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Nora, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee late in the evening on 2017/10/02?\", \"53 minutes\"], [\"who did I talk to on 2017/10/02?\", \"Nora, Rylee\"], [\"Did I talk to Nora, Rylee on 2017/10/02?\", \"yes\"], [\"Did I talk to anyone on 2017/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11824\", \"logical_representation\": [\"2017/10/02\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/10/02?\", \"13 minutes\"], [\"what did I read on 2017/10/02?\", \"news\"], [\"Did I read on 2017/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11825\", \"logical_representation\": [\"2017/10/02\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/02?\", \"44 minutes\"], [\"what did I watch on tv on 2017/10/02?\", \"a documentary\"], [\"Did I watch tv on 2017/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/03\": {\"breakfast\": {\"eid\": \"e11826\", \"logical_representation\": [\"2017/10/03\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Willow, Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/03?\", \"Willow, Benjamin, Avery\"], [\"what did I eat for breakfast on 2017/10/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11827\", \"logical_representation\": [\"2017/10/03\", \"dinner\", \"indian food\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/10/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11828\", \"logical_representation\": [\"2017/10/03\", \"Avery\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early afternoon on 2017/10/03?\", \"41 minutes\"], [\"who did I talk to on 2017/10/03?\", \"Avery\"], [\"Did I talk to Avery on 2017/10/03?\", \"yes\"], [\"Did I talk to anyone on 2017/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11829\", \"logical_representation\": [\"2017/10/03\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/10/03?\", \"23 minutes\"], [\"what did I read on 2017/10/03?\", \"a book\"], [\"Did I read on 2017/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/04\": {\"exercise\": {\"eid\": \"e11830\", \"logical_representation\": [\"2017/10/04\", \"biking\"], \"text_template_based\": \"I did biking on 2017/10/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11831\", \"logical_representation\": [\"2017/10/04\", \"Layla, Kinsley, Piper, Avery\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Layla, Kinsley, Piper, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Piper, Avery in the morning on 2017/10/04?\", \"38 minutes\"], [\"who did I talk to on 2017/10/04?\", \"Layla, Kinsley, Piper, Avery\"], [\"Did I talk to Layla, Kinsley, Piper, Avery on 2017/10/04?\", \"yes\"], [\"Did I talk to anyone on 2017/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11832\", \"logical_representation\": [\"2017/10/04\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/10/04?\", \"54 minutes\"], [\"what did I read on 2017/10/04?\", \"news\"], [\"Did I read on 2017/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/05\": {\"breakfast\": {\"eid\": \"e11833\", \"logical_representation\": [\"2017/10/05\", \"breakfast\", \"cereals\", \"Olivia, Piper, Nevaeh, Hazel, Rylee, Layla, Kinsley\"], \"text_template_based\": \"I had breakfast with Olivia, Piper, Nevaeh, Hazel, Rylee, Layla, Kinsley. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/05?\", \"Olivia, Piper, Nevaeh, Hazel, Rylee, Layla, Kinsley\"], [\"what did I eat for breakfast on 2017/10/05\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11834\", \"logical_representation\": [\"2017/10/05\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/05?\", \"22 minutes\"], [\"what did I watch on tv on 2017/10/05?\", \"news\"], [\"Did I watch tv on 2017/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/06\": {\"exercise\": {\"eid\": \"e11835\", \"logical_representation\": [\"2017/10/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/10/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11836\", \"logical_representation\": [\"2017/10/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Willow\"], \"text_template_based\": \"I had breakfast with Avery, Willow. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/06?\", \"Avery, Willow\"], [\"what did I eat for breakfast on 2017/10/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11837\", \"logical_representation\": [\"2017/10/06\", \"Piper, Claire\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Piper, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire in the early afternoon on 2017/10/06?\", \"9 minutes\"], [\"who did I talk to on 2017/10/06?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2017/10/06?\", \"yes\"], [\"Did I talk to anyone on 2017/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11838\", \"logical_representation\": [\"2017/10/06\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/06?\", \"46 minutes\"], [\"what did I watch on tv on 2017/10/06?\", \"a movie\"], [\"Did I watch tv on 2017/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/08\": {\"exercise\": {\"eid\": \"e11842\", \"logical_representation\": [\"2017/10/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/10/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11843\", \"logical_representation\": [\"2017/10/08\", \"breakfast\", \"toast and cheese\", \"Benjamin, Avery\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/10/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11844\", \"logical_representation\": [\"2017/10/08\", \"Avery, Nora\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Avery, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora late in the evening on 2017/10/08?\", \"28 minutes\"], [\"who did I talk to on 2017/10/08?\", \"Avery, Nora\"], [\"Did I talk to Avery, Nora on 2017/10/08?\", \"yes\"], [\"Did I talk to anyone on 2017/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11845\", \"logical_representation\": [\"2017/10/08\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/10/08?\", \"20 minutes\"], [\"what did I read on 2017/10/08?\", \"social media\"], [\"Did I read on 2017/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/09\": {\"exercise\": {\"eid\": \"e11846\", \"logical_representation\": [\"2017/10/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/10/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11847\", \"logical_representation\": [\"2017/10/09\", \"Kinsley\", \"late in the evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2017/10/09?\", \"44 minutes\"], [\"who did I talk to on 2017/10/09?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2017/10/09?\", \"yes\"], [\"Did I talk to anyone on 2017/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/10\": {\"breakfast\": {\"eid\": \"e11848\", \"logical_representation\": [\"2017/10/10\", \"breakfast\", \"cereals\", \"Piper\"], \"text_template_based\": \"I had breakfast with Piper. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/10?\", \"Piper\"], [\"what did I eat for breakfast on 2017/10/10\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11849\", \"logical_representation\": [\"2017/10/10\", \"Piper\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2017/10/10?\", \"24 minutes\"], [\"who did I talk to on 2017/10/10?\", \"Piper\"], [\"Did I talk to Piper on 2017/10/10?\", \"yes\"], [\"Did I talk to anyone on 2017/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11850\", \"logical_representation\": [\"2017/10/10\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/10/10?\", \"10 minutes\"], [\"what did I read on 2017/10/10?\", \"a book\"], [\"Did I read on 2017/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/11\": {\"exercise\": {\"eid\": \"e11851\", \"logical_representation\": [\"2017/10/11\", \"running\"], \"text_template_based\": \"I did running on 2017/10/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11852\", \"logical_representation\": [\"2017/10/11\", \"Hazel, Nora, Olivia\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Hazel, Nora, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Olivia during lunch hours on 2017/10/11?\", \"34 minutes\"], [\"who did I talk to on 2017/10/11?\", \"Hazel, Nora, Olivia\"], [\"Did I talk to Hazel, Nora, Olivia on 2017/10/11?\", \"yes\"], [\"Did I talk to anyone on 2017/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11853\", \"logical_representation\": [\"2017/10/11\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/10/11?\", \"37 minutes\"], [\"what did I read on 2017/10/11?\", \"news\"], [\"Did I read on 2017/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11854\", \"logical_representation\": [\"2017/10/11\", \"a movie\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/11?\", \"44 minutes\"], [\"what did I watch on tv on 2017/10/11?\", \"a movie\"], [\"Did I watch tv on 2017/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/12\": {\"exercise\": {\"eid\": \"e11855\", \"logical_representation\": [\"2017/10/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/10/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11856\", \"logical_representation\": [\"2017/10/12\", \"breakfast\", \"oatmeal\", \"Piper, Kinsley, Olivia, Hazel, Piper, Nevaeh, Avery, Layla, Eva, Rylee, Claire, Nora\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/10/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11857\", \"logical_representation\": [\"2017/10/12\", \"lunch\", \"sandwich\", \"Layla, Piper, Hazel\"], \"text_template_based\": \"I had lunch with Layla, Piper, Hazel. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/10/12?\", \"Layla, Piper, Hazel\"], [\"what did I eat for lunch on 2017/10/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11858\", \"logical_representation\": [\"2017/10/12\", \"dinner\", \"sandwich\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/10/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11859\", \"logical_representation\": [\"2017/10/12\", \"Rylee, Piper, Piper, Nora\", \"in the morning\", \"8 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper, Piper, Nora for 8 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Piper, Nora in the morning on 2017/10/12?\", \"8 minutes\"], [\"who did I talk to on 2017/10/12?\", \"Rylee, Piper, Piper, Nora\"], [\"Did I talk to Rylee, Piper, Piper, Nora on 2017/10/12?\", \"yes\"], [\"Did I talk to anyone on 2017/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/13\": {\"lunch\": {\"eid\": \"e11860\", \"logical_representation\": [\"2017/10/13\", \"lunch\", \"tacos\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11861\", \"logical_representation\": [\"2017/10/13\", \"Layla\", \"during lunch hours\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla during lunch hours on 2017/10/13?\", \"45 minutes\"], [\"who did I talk to on 2017/10/13?\", \"Layla\"], [\"Did I talk to Layla on 2017/10/13?\", \"yes\"], [\"Did I talk to anyone on 2017/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11862\", \"logical_representation\": [\"2017/10/13\", \"a book\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/10/13?\", \"31 minutes\"], [\"what did I read on 2017/10/13?\", \"a book\"], [\"Did I read on 2017/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11863\", \"logical_representation\": [\"2017/10/13\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I watched a documentary for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/13?\", \"22 minutes\"], [\"what did I watch on tv on 2017/10/13?\", \"a documentary\"], [\"Did I watch tv on 2017/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/14\": {\"exercise\": {\"eid\": \"e11864\", \"logical_representation\": [\"2017/10/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/10/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11865\", \"logical_representation\": [\"2017/10/14\", \"breakfast\", \"cereals\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Carter, Emily, Kayden, Andrew. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/14?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for breakfast on 2017/10/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11866\", \"logical_representation\": [\"2017/10/14\", \"lunch\", \"chinese food\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11867\", \"logical_representation\": [\"2017/10/14\", \"dinner\", \"tacos\", \"Piper, Layla, Rylee, Olivia, Eva, Lydia, Nevaeh\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/10/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11868\", \"logical_representation\": [\"2017/10/14\", \"Kinsley, Nevaeh, Olivia, Layla\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Kinsley, Nevaeh, Olivia, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Olivia, Layla late in the evening on 2017/10/14?\", \"25 minutes\"], [\"who did I talk to on 2017/10/14?\", \"Kinsley, Nevaeh, Olivia, Layla\"], [\"Did I talk to Kinsley, Nevaeh, Olivia, Layla on 2017/10/14?\", \"yes\"], [\"Did I talk to anyone on 2017/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/15\": {\"exercise\": {\"eid\": \"e11869\", \"logical_representation\": [\"2017/10/15\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/15?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11870\", \"logical_representation\": [\"2017/10/15\", \"dinner\", \"indian food\", \"Kayden, Carter\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/10/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11871\", \"logical_representation\": [\"2017/10/15\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/10/15?\", \"6 minutes\"], [\"what did I read on 2017/10/15?\", \"a book\"], [\"Did I read on 2017/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/16\": {\"breakfast\": {\"eid\": \"e11872\", \"logical_representation\": [\"2017/10/16\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Carter. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/16?\", \"Emily, Kayden, Carter\"], [\"what did I eat for breakfast on 2017/10/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11873\", \"logical_representation\": [\"2017/10/16\", \"lunch\", \"sandwich\", \"Nora, Nevaeh, Kinsley, Eva, Layla, Avery, Piper, Hazel, Olivia, Lydia\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11874\", \"logical_representation\": [\"2017/10/16\", \"dinner\", \"pasta\", \"Lydia\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/10/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11875\", \"logical_representation\": [\"2017/10/16\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/16?\", \"18 minutes\"], [\"what did I watch on tv on 2017/10/16?\", \"a tv series\"], [\"Did I watch tv on 2017/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/18\": {\"breakfast\": {\"eid\": \"e11880\", \"logical_representation\": [\"2017/10/18\", \"breakfast\", \"oatmeal\", \"Nevaeh, Kinsley, Avery, Piper, Eva, Piper, Claire, Layla, Olivia, Rylee, Hazel, Nora, Lydia\"], \"text_template_based\": \"I had oatmeal for breakfast with Nevaeh, Kinsley, Avery, Piper, Eva, Piper, Claire, Layla, Olivia, Rylee, Hazel, Nora, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/18?\", \"Nevaeh, Kinsley, Avery, Piper, Eva, Piper, Claire, Layla, Olivia, Rylee, Hazel, Nora, Lydia\"], [\"what did I eat for breakfast on 2017/10/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11881\", \"logical_representation\": [\"2017/10/18\", \"lunch\", \"chinese food\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11882\", \"logical_representation\": [\"2017/10/18\", \"Lydia, Eva, Nora\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Lydia, Eva, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Nora in the early evening on 2017/10/18?\", \"11 minutes\"], [\"who did I talk to on 2017/10/18?\", \"Lydia, Eva, Nora\"], [\"Did I talk to Lydia, Eva, Nora on 2017/10/18?\", \"yes\"], [\"Did I talk to anyone on 2017/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11883\", \"logical_representation\": [\"2017/10/18\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I watched a documentary for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/18?\", \"43 minutes\"], [\"what did I watch on tv on 2017/10/18?\", \"a documentary\"], [\"Did I watch tv on 2017/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/21\": {\"exercise\": {\"eid\": \"e11890\", \"logical_representation\": [\"2017/10/21\", \"running\"], \"text_template_based\": \"I did running on 2017/10/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e11891\", \"logical_representation\": [\"2017/10/21\", \"breakfast\", \"peanut-butter-jam\", \"Eva, Nevaeh, Layla, Claire, Lydia, Piper, Avery, Rylee, Hazel, Olivia, Piper, Kinsley\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Eva, Nevaeh, Layla, Claire, Lydia, Piper, Avery, Rylee, Hazel, Olivia, Piper, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/21?\", \"Eva, Nevaeh, Layla, Claire, Lydia, Piper, Avery, Rylee, Hazel, Olivia, Piper, Kinsley\"], [\"what did I eat for breakfast on 2017/10/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11892\", \"logical_representation\": [\"2017/10/21\", \"Olivia\", \"in the early afternoon\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early afternoon on 2017/10/21?\", \"5 minutes\"], [\"who did I talk to on 2017/10/21?\", \"Olivia\"], [\"Did I talk to Olivia on 2017/10/21?\", \"yes\"], [\"Did I talk to anyone on 2017/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11893\", \"logical_representation\": [\"2017/10/21\", \"a tv series\", \"44 minutes\"], \"text_template_based\": \"I watched a tv series for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/21?\", \"44 minutes\"], [\"what did I watch on tv on 2017/10/21?\", \"a tv series\"], [\"Did I watch tv on 2017/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/22\": {\"dinner\": {\"eid\": \"e11894\", \"logical_representation\": [\"2017/10/22\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had indian food for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/10/22?\", \"Carter\"], [\"what did I eat for dinner on 2017/10/22\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2017/10/24\": {\"breakfast\": {\"eid\": \"e11900\", \"logical_representation\": [\"2017/10/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora, Lydia, Hazel, Nevaeh\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/10/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11901\", \"logical_representation\": [\"2017/10/24\", \"lunch\", \"sushi\", \"Carter\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11902\", \"logical_representation\": [\"2017/10/24\", \"dinner\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/10/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11903\", \"logical_representation\": [\"2017/10/24\", \"Olivia, Eva, Claire\", \"in the morning\", \"23 minutes\"], \"text_template_based\": \"I talked to Olivia, Eva, Claire for 23 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva, Claire in the morning on 2017/10/24?\", \"23 minutes\"], [\"who did I talk to on 2017/10/24?\", \"Olivia, Eva, Claire\"], [\"Did I talk to Olivia, Eva, Claire on 2017/10/24?\", \"yes\"], [\"Did I talk to anyone on 2017/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11904\", \"logical_representation\": [\"2017/10/24\", \"Claire, Avery, Olivia\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Claire, Avery, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Olivia in the early afternoon on 2017/10/24?\", \"29 minutes\"], [\"who did I talk to on 2017/10/24?\", \"Claire, Avery, Olivia\"], [\"Did I talk to Claire, Avery, Olivia on 2017/10/24?\", \"yes\"], [\"Did I talk to anyone on 2017/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/25\": {\"lunch\": {\"eid\": \"e11905\", \"logical_representation\": [\"2017/10/25\", \"lunch\", \"tacos\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/25\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11906\", \"logical_representation\": [\"2017/10/25\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I watched a documentary for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/25?\", \"10 minutes\"], [\"what did I watch on tv on 2017/10/25?\", \"a documentary\"], [\"Did I watch tv on 2017/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/28\": {\"lunch\": {\"eid\": \"e11917\", \"logical_representation\": [\"2017/10/28\", \"lunch\", \"indian food\", \"Layla, Claire, Nora, Avery\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11918\", \"logical_representation\": [\"2017/10/28\", \"dinner\", \"sandwich\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/10/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11919\", \"logical_representation\": [\"2017/10/28\", \"Hazel\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2017/10/28?\", \"43 minutes\"], [\"who did I talk to on 2017/10/28?\", \"Hazel\"], [\"Did I talk to Hazel on 2017/10/28?\", \"yes\"], [\"Did I talk to anyone on 2017/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/29\": {\"lunch\": {\"eid\": \"e11920\", \"logical_representation\": [\"2017/10/29\", \"lunch\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2017/10/30\": {\"chat0\": {\"eid\": \"e11921\", \"logical_representation\": [\"2017/10/30\", \"Rylee, Lydia, Piper\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Rylee, Lydia, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Piper in the early evening on 2017/10/30?\", \"9 minutes\"], [\"who did I talk to on 2017/10/30?\", \"Rylee, Lydia, Piper\"], [\"Did I talk to Rylee, Lydia, Piper on 2017/10/30?\", \"yes\"], [\"Did I talk to anyone on 2017/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11922\", \"logical_representation\": [\"2017/10/30\", \"Piper, Nevaeh\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh for 26 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh in the morning on 2017/10/30?\", \"26 minutes\"], [\"who did I talk to on 2017/10/30?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2017/10/30?\", \"yes\"], [\"Did I talk to anyone on 2017/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11923\", \"logical_representation\": [\"2017/10/30\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/10/30?\", \"40 minutes\"], [\"what did I read on 2017/10/30?\", \"social media\"], [\"Did I read on 2017/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11924\", \"logical_representation\": [\"2017/10/30\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I watched a documentary for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/30?\", \"26 minutes\"], [\"what did I watch on tv on 2017/10/30?\", \"a documentary\"], [\"Did I watch tv on 2017/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/31\": {\"breakfast\": {\"eid\": \"e11925\", \"logical_representation\": [\"2017/10/31\", \"breakfast\", \"peanut-butter-jam\", \"Willow\"], \"text_template_based\": \"I had breakfast with Willow. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/31?\", \"Willow\"], [\"what did I eat for breakfast on 2017/10/31\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11926\", \"logical_representation\": [\"2017/10/31\", \"lunch\", \"steak\", \"Kayden\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11927\", \"logical_representation\": [\"2017/10/31\", \"Hazel\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Hazel for 28 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2017/10/31?\", \"28 minutes\"], [\"who did I talk to on 2017/10/31?\", \"Hazel\"], [\"Did I talk to Hazel on 2017/10/31?\", \"yes\"], [\"Did I talk to anyone on 2017/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/01\": {\"breakfast\": {\"eid\": \"e11928\", \"logical_representation\": [\"2017/11/01\", \"breakfast\", \"oatmeal\", \"Piper, Avery, Kinsley, Hazel, Lydia, Nevaeh\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/11/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11929\", \"logical_representation\": [\"2017/11/01\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/11/01?\", \"20 minutes\"], [\"what did I read on 2017/11/01?\", \"a book\"], [\"Did I read on 2017/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11930\", \"logical_representation\": [\"2017/11/01\", \"a documentary\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/01?\", \"48 minutes\"], [\"what did I watch on tv on 2017/11/01?\", \"a documentary\"], [\"Did I watch tv on 2017/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/02\": {\"exercise\": {\"eid\": \"e11931\", \"logical_representation\": [\"2017/11/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/11/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e11932\", \"logical_representation\": [\"2017/11/02\", \"lunch\", \"fish and chips\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11933\", \"logical_representation\": [\"2017/11/02\", \"Piper\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2017/11/02?\", \"35 minutes\"], [\"who did I talk to on 2017/11/02?\", \"Piper\"], [\"Did I talk to Piper on 2017/11/02?\", \"yes\"], [\"Did I talk to anyone on 2017/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11934\", \"logical_representation\": [\"2017/11/02\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/11/02?\", \"47 minutes\"], [\"what did I read on 2017/11/02?\", \"a book\"], [\"Did I read on 2017/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/03\": {\"exercise\": {\"eid\": \"e11935\", \"logical_representation\": [\"2017/11/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/11/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2017/11/06\": {\"exercise\": {\"eid\": \"e11943\", \"logical_representation\": [\"2017/11/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/11/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11944\", \"logical_representation\": [\"2017/11/06\", \"dinner\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/11/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11945\", \"logical_representation\": [\"2017/11/06\", \"Nora, Claire\", \"in the morning\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Nora, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire in the morning on 2017/11/06?\", \"42 minutes\"], [\"who did I talk to on 2017/11/06?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2017/11/06?\", \"yes\"], [\"Did I talk to anyone on 2017/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11946\", \"logical_representation\": [\"2017/11/06\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/11/06?\", \"10 minutes\"], [\"what did I read on 2017/11/06?\", \"news\"], [\"Did I read on 2017/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/07\": {\"lunch\": {\"eid\": \"e11947\", \"logical_representation\": [\"2017/11/07\", \"lunch\", \"sushi\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had lunch with Carter, Andrew, Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/11/07?\", \"Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2017/11/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11948\", \"logical_representation\": [\"2017/11/07\", \"dinner\", \"sandwich\", \"Kayden, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/11/07?\", \"Kayden, Emily\"], [\"what did I eat for dinner on 2017/11/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11949\", \"logical_representation\": [\"2017/11/07\", \"Layla\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2017/11/07?\", \"46 minutes\"], [\"who did I talk to on 2017/11/07?\", \"Layla\"], [\"Did I talk to Layla on 2017/11/07?\", \"yes\"], [\"Did I talk to anyone on 2017/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11950\", \"logical_representation\": [\"2017/11/07\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/11/07?\", \"40 minutes\"], [\"what did I read on 2017/11/07?\", \"news\"], [\"Did I read on 2017/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11951\", \"logical_representation\": [\"2017/11/07\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I watched a tv series for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/07?\", \"6 minutes\"], [\"what did I watch on tv on 2017/11/07?\", \"a tv series\"], [\"Did I watch tv on 2017/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/09\": {\"dinner\": {\"eid\": \"e11959\", \"logical_representation\": [\"2017/11/09\", \"dinner\", \"steak\", \"Claire, Layla, Kinsley, Nevaeh, Hazel, Piper, Eva, Piper, Avery, Olivia\"], \"text_template_based\": \"I had dinner with Claire, Layla, Kinsley, Nevaeh, Hazel, Piper, Eva, Piper, Avery, Olivia. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/11/09?\", \"Claire, Layla, Kinsley, Nevaeh, Hazel, Piper, Eva, Piper, Avery, Olivia\"], [\"what did I eat for dinner on 2017/11/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11960\", \"logical_representation\": [\"2017/11/09\", \"Nora\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2017/11/09?\", \"53 minutes\"], [\"who did I talk to on 2017/11/09?\", \"Nora\"], [\"Did I talk to Nora on 2017/11/09?\", \"yes\"], [\"Did I talk to anyone on 2017/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11961\", \"logical_representation\": [\"2017/11/09\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I watched a movie for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/09?\", \"7 minutes\"], [\"what did I watch on tv on 2017/11/09?\", \"a movie\"], [\"Did I watch tv on 2017/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/10\": {\"lunch\": {\"eid\": \"e11962\", \"logical_representation\": [\"2017/11/10\", \"lunch\", \"steak\", \"Avery\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11963\", \"logical_representation\": [\"2017/11/10\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/11/10?\", \"8 minutes\"], [\"what did I read on 2017/11/10?\", \"social media\"], [\"Did I read on 2017/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/12\": {\"exercise\": {\"eid\": \"e11968\", \"logical_representation\": [\"2017/11/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/11/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e11969\", \"logical_representation\": [\"2017/11/12\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/11/12?\", \"39 minutes\"], [\"what did I read on 2017/11/12?\", \"social media\"], [\"Did I read on 2017/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11970\", \"logical_representation\": [\"2017/11/12\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/12?\", \"48 minutes\"], [\"what did I watch on tv on 2017/11/12?\", \"a tv series\"], [\"Did I watch tv on 2017/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/13\": {\"lunch\": {\"eid\": \"e11971\", \"logical_representation\": [\"2017/11/13\", \"lunch\", \"sandwich\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had lunch with Jackson, Avery, Benjamin. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/11/13?\", \"Jackson, Avery, Benjamin\"], [\"what did I eat for lunch on 2017/11/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11972\", \"logical_representation\": [\"2017/11/13\", \"Rylee, Nora, Layla\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Rylee, Nora, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Layla in the early evening on 2017/11/13?\", \"39 minutes\"], [\"who did I talk to on 2017/11/13?\", \"Rylee, Nora, Layla\"], [\"Did I talk to Rylee, Nora, Layla on 2017/11/13?\", \"yes\"], [\"Did I talk to anyone on 2017/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11973\", \"logical_representation\": [\"2017/11/13\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/13?\", \"5 minutes\"], [\"what did I watch on tv on 2017/11/13?\", \"a movie\"], [\"Did I watch tv on 2017/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/15\": {\"exercise\": {\"eid\": \"e11978\", \"logical_representation\": [\"2017/11/15\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/11/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/15?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e11979\", \"logical_representation\": [\"2017/11/15\", \"dinner\", \"fish and chips\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/11/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e11980\", \"logical_representation\": [\"2017/11/15\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/11/15?\", \"14 minutes\"], [\"what did I read on 2017/11/15?\", \"news\"], [\"Did I read on 2017/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e11981\", \"logical_representation\": [\"2017/11/15\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I watched a documentary for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/15?\", \"35 minutes\"], [\"what did I watch on tv on 2017/11/15?\", \"a documentary\"], [\"Did I watch tv on 2017/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/16\": {\"lunch\": {\"eid\": \"e11982\", \"logical_representation\": [\"2017/11/16\", \"lunch\", \"indian food\", \"Benjamin\"], \"text_template_based\": \"I had lunch with Benjamin. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/11/16?\", \"Benjamin\"], [\"what did I eat for lunch on 2017/11/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11983\", \"logical_representation\": [\"2017/11/16\", \"Eva, Olivia, Avery, Lydia\", \"during lunch hours\", \"19 minutes\"], \"text_template_based\": \"I talked to Eva, Olivia, Avery, Lydia for 19 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Avery, Lydia during lunch hours on 2017/11/16?\", \"19 minutes\"], [\"who did I talk to on 2017/11/16?\", \"Eva, Olivia, Avery, Lydia\"], [\"Did I talk to Eva, Olivia, Avery, Lydia on 2017/11/16?\", \"yes\"], [\"Did I talk to anyone on 2017/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e11984\", \"logical_representation\": [\"2017/11/16\", \"Olivia\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the morning on 2017/11/16?\", \"55 minutes\"], [\"who did I talk to on 2017/11/16?\", \"Olivia\"], [\"Did I talk to Olivia on 2017/11/16?\", \"yes\"], [\"Did I talk to anyone on 2017/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/17\": {\"dinner\": {\"eid\": \"e11985\", \"logical_representation\": [\"2017/11/17\", \"dinner\", \"tacos\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Andrew, Carter, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/11/17?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for dinner on 2017/11/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e11986\", \"logical_representation\": [\"2017/11/17\", \"Rylee, Nora, Piper\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Rylee, Nora, Piper for 48 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Piper in the early afternoon on 2017/11/17?\", \"48 minutes\"], [\"who did I talk to on 2017/11/17?\", \"Rylee, Nora, Piper\"], [\"Did I talk to Rylee, Nora, Piper on 2017/11/17?\", \"yes\"], [\"Did I talk to anyone on 2017/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/21\": {\"breakfast\": {\"eid\": \"e11999\", \"logical_representation\": [\"2017/11/21\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/11/21\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2017/11/22\": {\"dinner\": {\"eid\": \"e12000\", \"logical_representation\": [\"2017/11/22\", \"dinner\", \"tacos\", \"Nora, Hazel, Olivia, Avery, Eva, Lydia, Kinsley, Rylee, Layla\"], \"text_template_based\": \"I had tacos for dinner with Nora, Hazel, Olivia, Avery, Eva, Lydia, Kinsley, Rylee, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/11/22?\", \"Nora, Hazel, Olivia, Avery, Eva, Lydia, Kinsley, Rylee, Layla\"], [\"what did I eat for dinner on 2017/11/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12001\", \"logical_representation\": [\"2017/11/22\", \"Nora, Avery, Lydia\", \"in the early afternoon\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Nora, Avery, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery, Lydia in the early afternoon on 2017/11/22?\", \"14 minutes\"], [\"who did I talk to on 2017/11/22?\", \"Nora, Avery, Lydia\"], [\"Did I talk to Nora, Avery, Lydia on 2017/11/22?\", \"yes\"], [\"Did I talk to anyone on 2017/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12002\", \"logical_representation\": [\"2017/11/22\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/22?\", \"37 minutes\"], [\"what did I watch on tv on 2017/11/22?\", \"a documentary\"], [\"Did I watch tv on 2017/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/26\": {\"lunch\": {\"eid\": \"e12014\", \"logical_representation\": [\"2017/11/26\", \"lunch\", \"chinese food\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2017/11/27\": {\"exercise\": {\"eid\": \"e12015\", \"logical_representation\": [\"2017/11/27\", \"biking\"], \"text_template_based\": \"I did biking on 2017/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/27?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12016\", \"logical_representation\": [\"2017/11/27\", \"lunch\", \"indian food\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12017\", \"logical_representation\": [\"2017/11/27\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/27?\", \"13 minutes\"], [\"what did I watch on tv on 2017/11/27?\", \"a tv series\"], [\"Did I watch tv on 2017/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/28\": {\"lunch\": {\"eid\": \"e12018\", \"logical_representation\": [\"2017/11/28\", \"lunch\", \"tacos\", \"Claire, Lydia, Hazel, Eva, Piper, Olivia\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12019\", \"logical_representation\": [\"2017/11/28\", \"dinner\", \"sandwich\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/11/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12020\", \"logical_representation\": [\"2017/11/28\", \"Piper, Claire\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I talked to Piper, Claire for 20 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire during lunch hours on 2017/11/28?\", \"20 minutes\"], [\"who did I talk to on 2017/11/28?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2017/11/28?\", \"yes\"], [\"Did I talk to anyone on 2017/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12021\", \"logical_representation\": [\"2017/11/28\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/11/28?\", \"45 minutes\"], [\"what did I read on 2017/11/28?\", \"news\"], [\"Did I read on 2017/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/29\": {\"lunch\": {\"eid\": \"e12022\", \"logical_representation\": [\"2017/11/29\", \"lunch\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/29\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12023\", \"logical_representation\": [\"2017/11/29\", \"dinner\", \"sandwich\", \"Nevaeh, Avery, Eva, Hazel, Rylee, Piper, Nora, Lydia\"], \"text_template_based\": \"I had sandwich for dinner with Nevaeh, Avery, Eva, Hazel, Rylee, Piper, Nora, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/11/29?\", \"Nevaeh, Avery, Eva, Hazel, Rylee, Piper, Nora, Lydia\"], [\"what did I eat for dinner on 2017/11/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12024\", \"logical_representation\": [\"2017/11/29\", \"Eva, Piper, Piper\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Eva, Piper, Piper for 28 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Piper in the early afternoon on 2017/11/29?\", \"28 minutes\"], [\"who did I talk to on 2017/11/29?\", \"Eva, Piper, Piper\"], [\"Did I talk to Eva, Piper, Piper on 2017/11/29?\", \"yes\"], [\"Did I talk to anyone on 2017/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12025\", \"logical_representation\": [\"2017/11/29\", \"Layla, Nora, Nevaeh\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Layla, Nora, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Nevaeh in the early afternoon on 2017/11/29?\", \"15 minutes\"], [\"who did I talk to on 2017/11/29?\", \"Layla, Nora, Nevaeh\"], [\"Did I talk to Layla, Nora, Nevaeh on 2017/11/29?\", \"yes\"], [\"Did I talk to anyone on 2017/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12026\", \"logical_representation\": [\"2017/11/29\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I watched a movie for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/29?\", \"7 minutes\"], [\"what did I watch on tv on 2017/11/29?\", \"a movie\"], [\"Did I watch tv on 2017/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/30\": {\"exercise\": {\"eid\": \"e12027\", \"logical_representation\": [\"2017/11/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/11/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12028\", \"logical_representation\": [\"2017/11/30\", \"Avery, Olivia\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia for 11 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia late in the evening on 2017/11/30?\", \"11 minutes\"], [\"who did I talk to on 2017/11/30?\", \"Avery, Olivia\"], [\"Did I talk to Avery, Olivia on 2017/11/30?\", \"yes\"], [\"Did I talk to anyone on 2017/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12029\", \"logical_representation\": [\"2017/11/30\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/11/30?\", \"11 minutes\"], [\"what did I read on 2017/11/30?\", \"social media\"], [\"Did I read on 2017/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12030\", \"logical_representation\": [\"2017/11/30\", \"news\", \"6 minutes\"], \"text_template_based\": \"I watched news for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/30?\", \"6 minutes\"], [\"what did I watch on tv on 2017/11/30?\", \"news\"], [\"Did I watch tv on 2017/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/02\": {\"exercise\": {\"eid\": \"e12034\", \"logical_representation\": [\"2017/12/02\", \"biking\"], \"text_template_based\": \"I did biking on 2017/12/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/02?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12035\", \"logical_representation\": [\"2017/12/02\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/12/02?\", \"Andrew\"], [\"what did I eat for breakfast on 2017/12/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12036\", \"logical_representation\": [\"2017/12/02\", \"lunch\", \"chinese food\", \"Jackson\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12037\", \"logical_representation\": [\"2017/12/02\", \"dinner\", \"a burger\", \"Carter, Emily\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/02\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2017/12/03\": {\"breakfast\": {\"eid\": \"e12038\", \"logical_representation\": [\"2017/12/03\", \"breakfast\", \"toast and cheese\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/12/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12039\", \"logical_representation\": [\"2017/12/03\", \"dinner\", \"sandwich\", \"Willow, Jackson\"], \"text_template_based\": \"I had dinner with Willow, Jackson. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/12/03?\", \"Willow, Jackson\"], [\"what did I eat for dinner on 2017/12/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12040\", \"logical_representation\": [\"2017/12/03\", \"Kinsley, Layla\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla for 14 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla late in the evening on 2017/12/03?\", \"14 minutes\"], [\"who did I talk to on 2017/12/03?\", \"Kinsley, Layla\"], [\"Did I talk to Kinsley, Layla on 2017/12/03?\", \"yes\"], [\"Did I talk to anyone on 2017/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12041\", \"logical_representation\": [\"2017/12/03\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/12/03?\", \"26 minutes\"], [\"what did I read on 2017/12/03?\", \"news\"], [\"Did I read on 2017/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/04\": {\"exercise\": {\"eid\": \"e12042\", \"logical_representation\": [\"2017/12/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/12/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12043\", \"logical_representation\": [\"2017/12/04\", \"lunch\", \"sushi\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12044\", \"logical_representation\": [\"2017/12/04\", \"dinner\", \"tacos\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had dinner with Avery, Benjamin, Willow. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/12/04?\", \"Avery, Benjamin, Willow\"], [\"what did I eat for dinner on 2017/12/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12045\", \"logical_representation\": [\"2017/12/04\", \"Hazel, Avery, Nevaeh, Layla\", \"during lunch hours\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Hazel, Avery, Nevaeh, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Nevaeh, Layla during lunch hours on 2017/12/04?\", \"15 minutes\"], [\"who did I talk to on 2017/12/04?\", \"Hazel, Avery, Nevaeh, Layla\"], [\"Did I talk to Hazel, Avery, Nevaeh, Layla on 2017/12/04?\", \"yes\"], [\"Did I talk to anyone on 2017/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12046\", \"logical_representation\": [\"2017/12/04\", \"news\", \"8 minutes\"], \"text_template_based\": \"I watched news for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/04?\", \"8 minutes\"], [\"what did I watch on tv on 2017/12/04?\", \"news\"], [\"Did I watch tv on 2017/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/06\": {\"breakfast\": {\"eid\": \"e12050\", \"logical_representation\": [\"2017/12/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/12/06?\", \"Emily\"], [\"what did I eat for breakfast on 2017/12/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12051\", \"logical_representation\": [\"2017/12/06\", \"news\", \"54 minutes\"], \"text_template_based\": \"I watched news for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/06?\", \"54 minutes\"], [\"what did I watch on tv on 2017/12/06?\", \"news\"], [\"Did I watch tv on 2017/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/08\": {\"breakfast\": {\"eid\": \"e12056\", \"logical_representation\": [\"2017/12/08\", \"breakfast\", \"oatmeal\", \"Avery\"], \"text_template_based\": \"I had oatmeal for breakfast with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/12/08?\", \"Avery\"], [\"what did I eat for breakfast on 2017/12/08\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12057\", \"logical_representation\": [\"2017/12/08\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/12/08?\", \"16 minutes\"], [\"what did I read on 2017/12/08?\", \"a book\"], [\"Did I read on 2017/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12058\", \"logical_representation\": [\"2017/12/08\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I watched a tv series for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/08?\", \"24 minutes\"], [\"what did I watch on tv on 2017/12/08?\", \"a tv series\"], [\"Did I watch tv on 2017/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/09\": {\"breakfast\": {\"eid\": \"e12059\", \"logical_representation\": [\"2017/12/09\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/12/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12060\", \"logical_representation\": [\"2017/12/09\", \"lunch\", \"sandwich\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had sandwich for lunch with Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/12/09?\", \"Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2017/12/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12061\", \"logical_representation\": [\"2017/12/09\", \"Kinsley, Layla, Hazel, Piper\", \"during lunch hours\", \"40 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla, Hazel, Piper for 40 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Hazel, Piper during lunch hours on 2017/12/09?\", \"40 minutes\"], [\"who did I talk to on 2017/12/09?\", \"Kinsley, Layla, Hazel, Piper\"], [\"Did I talk to Kinsley, Layla, Hazel, Piper on 2017/12/09?\", \"yes\"], [\"Did I talk to anyone on 2017/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12062\", \"logical_representation\": [\"2017/12/09\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/12/09?\", \"44 minutes\"], [\"what did I read on 2017/12/09?\", \"news\"], [\"Did I read on 2017/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12063\", \"logical_representation\": [\"2017/12/09\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/09?\", \"27 minutes\"], [\"what did I watch on tv on 2017/12/09?\", \"a documentary\"], [\"Did I watch tv on 2017/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/10\": {\"exercise\": {\"eid\": \"e12064\", \"logical_representation\": [\"2017/12/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/12/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12065\", \"logical_representation\": [\"2017/12/10\", \"lunch\", \"fish and chips\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/12/10?\", \"Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2017/12/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12066\", \"logical_representation\": [\"2017/12/10\", \"dinner\", \"fish and chips\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12067\", \"logical_representation\": [\"2017/12/10\", \"Claire, Hazel, Lydia, Piper\", \"late in the evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Claire, Hazel, Lydia, Piper for 23 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Lydia, Piper late in the evening on 2017/12/10?\", \"23 minutes\"], [\"who did I talk to on 2017/12/10?\", \"Claire, Hazel, Lydia, Piper\"], [\"Did I talk to Claire, Hazel, Lydia, Piper on 2017/12/10?\", \"yes\"], [\"Did I talk to anyone on 2017/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12068\", \"logical_representation\": [\"2017/12/10\", \"Nora\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I talked to Nora for 49 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2017/12/10?\", \"49 minutes\"], [\"who did I talk to on 2017/12/10?\", \"Nora\"], [\"Did I talk to Nora on 2017/12/10?\", \"yes\"], [\"Did I talk to anyone on 2017/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/11\": {\"exercise\": {\"eid\": \"e12069\", \"logical_representation\": [\"2017/12/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/12/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12070\", \"logical_representation\": [\"2017/12/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Kayden, Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/12/11?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for breakfast on 2017/12/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12071\", \"logical_representation\": [\"2017/12/11\", \"lunch\", \"sushi\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had sushi for lunch with Emily, Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/12/11?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2017/12/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12072\", \"logical_representation\": [\"2017/12/11\", \"dinner\", \"tacos\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12073\", \"logical_representation\": [\"2017/12/11\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/12/11?\", \"49 minutes\"], [\"what did I read on 2017/12/11?\", \"a book\"], [\"Did I read on 2017/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12074\", \"logical_representation\": [\"2017/12/11\", \"a tv series\", \"31 minutes\"], \"text_template_based\": \"I watched a tv series for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/11?\", \"31 minutes\"], [\"what did I watch on tv on 2017/12/11?\", \"a tv series\"], [\"Did I watch tv on 2017/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/13\": {\"exercise\": {\"eid\": \"e12078\", \"logical_representation\": [\"2017/12/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/12/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12079\", \"logical_representation\": [\"2017/12/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/12/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12080\", \"logical_representation\": [\"2017/12/13\", \"dinner\", \"pasta\", \"Olivia, Piper, Layla, Eva, Nevaeh, Claire, Nora, Kinsley, Hazel, Rylee, Piper\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12081\", \"logical_representation\": [\"2017/12/13\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/12/13?\", \"35 minutes\"], [\"what did I read on 2017/12/13?\", \"a book\"], [\"Did I read on 2017/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12082\", \"logical_representation\": [\"2017/12/13\", \"a tv series\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/13?\", \"52 minutes\"], [\"what did I watch on tv on 2017/12/13?\", \"a tv series\"], [\"Did I watch tv on 2017/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/14\": {\"breakfast\": {\"eid\": \"e12083\", \"logical_representation\": [\"2017/12/14\", \"breakfast\", \"cereals\", \"Benjamin\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/12/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12084\", \"logical_representation\": [\"2017/12/14\", \"dinner\", \"sandwich\", \"Andrew, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/12/14?\", \"Andrew, Carter\"], [\"what did I eat for dinner on 2017/12/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12085\", \"logical_representation\": [\"2017/12/14\", \"Kinsley, Layla\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Kinsley, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla during lunch hours on 2017/12/14?\", \"39 minutes\"], [\"who did I talk to on 2017/12/14?\", \"Kinsley, Layla\"], [\"Did I talk to Kinsley, Layla on 2017/12/14?\", \"yes\"], [\"Did I talk to anyone on 2017/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12086\", \"logical_representation\": [\"2017/12/14\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/12/14?\", \"18 minutes\"], [\"what did I read on 2017/12/14?\", \"news\"], [\"Did I read on 2017/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/15\": {\"exercise\": {\"eid\": \"e12087\", \"logical_representation\": [\"2017/12/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/12/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12088\", \"logical_representation\": [\"2017/12/15\", \"breakfast\", \"peanut-butter-jam\", \"Claire, Eva, Kinsley, Lydia\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/12/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12089\", \"logical_representation\": [\"2017/12/15\", \"lunch\", \"fish and chips\", \"Jackson, Avery\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12090\", \"logical_representation\": [\"2017/12/15\", \"dinner\", \"pasta\", \"Nora, Piper, Olivia, Kinsley\"], \"text_template_based\": \"I had dinner with Nora, Piper, Olivia, Kinsley. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/12/15?\", \"Nora, Piper, Olivia, Kinsley\"], [\"what did I eat for dinner on 2017/12/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12091\", \"logical_representation\": [\"2017/12/15\", \"Nora, Olivia, Piper\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia, Piper for 47 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Piper in the late afternoon on 2017/12/15?\", \"47 minutes\"], [\"who did I talk to on 2017/12/15?\", \"Nora, Olivia, Piper\"], [\"Did I talk to Nora, Olivia, Piper on 2017/12/15?\", \"yes\"], [\"Did I talk to anyone on 2017/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12092\", \"logical_representation\": [\"2017/12/15\", \"Nevaeh, Nora\", \"in the morning\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Nevaeh, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora in the morning on 2017/12/15?\", \"53 minutes\"], [\"who did I talk to on 2017/12/15?\", \"Nevaeh, Nora\"], [\"Did I talk to Nevaeh, Nora on 2017/12/15?\", \"yes\"], [\"Did I talk to anyone on 2017/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/16\": {\"exercise\": {\"eid\": \"e12093\", \"logical_representation\": [\"2017/12/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/12/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12094\", \"logical_representation\": [\"2017/12/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Willow\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/12/16?\", \"Avery, Willow\"], [\"what did I eat for breakfast on 2017/12/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12095\", \"logical_representation\": [\"2017/12/16\", \"lunch\", \"tacos\", \"Kinsley\"], \"text_template_based\": \"I had tacos for lunch with Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/12/16?\", \"Kinsley\"], [\"what did I eat for lunch on 2017/12/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12096\", \"logical_representation\": [\"2017/12/16\", \"Hazel, Piper, Lydia, Eva\", \"late in the evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Hazel, Piper, Lydia, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Lydia, Eva late in the evening on 2017/12/16?\", \"23 minutes\"], [\"who did I talk to on 2017/12/16?\", \"Hazel, Piper, Lydia, Eva\"], [\"Did I talk to Hazel, Piper, Lydia, Eva on 2017/12/16?\", \"yes\"], [\"Did I talk to anyone on 2017/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12097\", \"logical_representation\": [\"2017/12/16\", \"Avery, Layla\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I talked to Avery, Layla for 46 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla during lunch hours on 2017/12/16?\", \"46 minutes\"], [\"who did I talk to on 2017/12/16?\", \"Avery, Layla\"], [\"Did I talk to Avery, Layla on 2017/12/16?\", \"yes\"], [\"Did I talk to anyone on 2017/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12098\", \"logical_representation\": [\"2017/12/16\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/12/16?\", \"10 minutes\"], [\"what did I read on 2017/12/16?\", \"a book\"], [\"Did I read on 2017/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12099\", \"logical_representation\": [\"2017/12/16\", \"a movie\", \"49 minutes\"], \"text_template_based\": \"I watched a movie for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/16?\", \"49 minutes\"], [\"what did I watch on tv on 2017/12/16?\", \"a movie\"], [\"Did I watch tv on 2017/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/18\": {\"exercise\": {\"eid\": \"e12104\", \"logical_representation\": [\"2017/12/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/12/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12105\", \"logical_representation\": [\"2017/12/18\", \"dinner\", \"sandwich\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had sandwich for dinner with Avery, Jackson, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/12/18?\", \"Avery, Jackson, Willow, Benjamin\"], [\"what did I eat for dinner on 2017/12/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12106\", \"logical_representation\": [\"2017/12/18\", \"Lydia\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Lydia for 6 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2017/12/18?\", \"6 minutes\"], [\"who did I talk to on 2017/12/18?\", \"Lydia\"], [\"Did I talk to Lydia on 2017/12/18?\", \"yes\"], [\"Did I talk to anyone on 2017/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12107\", \"logical_representation\": [\"2017/12/18\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/12/18?\", \"15 minutes\"], [\"what did I read on 2017/12/18?\", \"news\"], [\"Did I read on 2017/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/19\": {\"lunch\": {\"eid\": \"e12108\", \"logical_representation\": [\"2017/12/19\", \"lunch\", \"indian food\", \"Carter, Kayden\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/19\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12109\", \"logical_representation\": [\"2017/12/19\", \"Avery\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2017/12/19?\", \"37 minutes\"], [\"who did I talk to on 2017/12/19?\", \"Avery\"], [\"Did I talk to Avery on 2017/12/19?\", \"yes\"], [\"Did I talk to anyone on 2017/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12110\", \"logical_representation\": [\"2017/12/19\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I watched a tv series for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/19?\", \"47 minutes\"], [\"what did I watch on tv on 2017/12/19?\", \"a tv series\"], [\"Did I watch tv on 2017/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/20\": {\"breakfast\": {\"eid\": \"e12111\", \"logical_representation\": [\"2017/12/20\", \"breakfast\", \"toast and cheese\", \"Piper, Avery, Piper, Hazel, Layla, Kinsley, Nora, Eva, Olivia\"], \"text_template_based\": \"I had toast and cheese for breakfast with Piper, Avery, Piper, Hazel, Layla, Kinsley, Nora, Eva, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/12/20?\", \"Piper, Avery, Piper, Hazel, Layla, Kinsley, Nora, Eva, Olivia\"], [\"what did I eat for breakfast on 2017/12/20\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12112\", \"logical_representation\": [\"2017/12/20\", \"lunch\", \"fish and chips\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12113\", \"logical_representation\": [\"2017/12/20\", \"dinner\", \"tacos\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12114\", \"logical_representation\": [\"2017/12/20\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/12/20?\", \"21 minutes\"], [\"what did I read on 2017/12/20?\", \"social media\"], [\"Did I read on 2017/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12115\", \"logical_representation\": [\"2017/12/20\", \"a movie\", \"27 minutes\"], \"text_template_based\": \"I watched a movie for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/20?\", \"27 minutes\"], [\"what did I watch on tv on 2017/12/20?\", \"a movie\"], [\"Did I watch tv on 2017/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/21\": {\"exercise\": {\"eid\": \"e12116\", \"logical_representation\": [\"2017/12/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/12/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12117\", \"logical_representation\": [\"2017/12/21\", \"breakfast\", \"pancakes\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had pancakes for breakfast with Kayden, Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/12/21?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for breakfast on 2017/12/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12118\", \"logical_representation\": [\"2017/12/21\", \"dinner\", \"tacos\", \"Nevaeh, Hazel, Layla, Nora, Lydia, Piper, Eva\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12119\", \"logical_representation\": [\"2017/12/21\", \"Piper, Eva, Piper\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Piper for 13 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Piper in the early afternoon on 2017/12/21?\", \"13 minutes\"], [\"who did I talk to on 2017/12/21?\", \"Piper, Eva, Piper\"], [\"Did I talk to Piper, Eva, Piper on 2017/12/21?\", \"yes\"], [\"Did I talk to anyone on 2017/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/22\": {\"breakfast\": {\"eid\": \"e12120\", \"logical_representation\": [\"2017/12/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/12/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12121\", \"logical_representation\": [\"2017/12/22\", \"Piper, Olivia\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Piper, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the early evening on 2017/12/22?\", \"24 minutes\"], [\"who did I talk to on 2017/12/22?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2017/12/22?\", \"yes\"], [\"Did I talk to anyone on 2017/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12122\", \"logical_representation\": [\"2017/12/22\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/12/22?\", \"26 minutes\"], [\"what did I read on 2017/12/22?\", \"news\"], [\"Did I read on 2017/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/24\": {\"exercise\": {\"eid\": \"e12125\", \"logical_representation\": [\"2017/12/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/12/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12126\", \"logical_representation\": [\"2017/12/24\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/12/24?\", \"13 minutes\"], [\"what did I read on 2017/12/24?\", \"a book\"], [\"Did I read on 2017/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12127\", \"logical_representation\": [\"2017/12/24\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/24?\", \"9 minutes\"], [\"what did I watch on tv on 2017/12/24?\", \"a tv series\"], [\"Did I watch tv on 2017/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/25\": {\"exercise\": {\"eid\": \"e12128\", \"logical_representation\": [\"2017/12/25\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/12/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/25?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12129\", \"logical_representation\": [\"2017/12/25\", \"dinner\", \"sushi\", \"Avery, Lydia, Claire, Hazel, Kinsley, Nevaeh\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12130\", \"logical_representation\": [\"2017/12/25\", \"a tv series\", \"25 minutes\"], \"text_template_based\": \"I watched a tv series for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/25?\", \"25 minutes\"], [\"what did I watch on tv on 2017/12/25?\", \"a tv series\"], [\"Did I watch tv on 2017/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/27\": {\"dinner\": {\"eid\": \"e12135\", \"logical_representation\": [\"2017/12/27\", \"dinner\", \"fish and chips\", \"Piper, Lydia, Hazel, Nevaeh\"], \"text_template_based\": \"I had dinner with Piper, Lydia, Hazel, Nevaeh. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/12/27?\", \"Piper, Lydia, Hazel, Nevaeh\"], [\"what did I eat for dinner on 2017/12/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12136\", \"logical_representation\": [\"2017/12/27\", \"Kinsley, Layla\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla for 41 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla in the morning on 2017/12/27?\", \"41 minutes\"], [\"who did I talk to on 2017/12/27?\", \"Kinsley, Layla\"], [\"Did I talk to Kinsley, Layla on 2017/12/27?\", \"yes\"], [\"Did I talk to anyone on 2017/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12137\", \"logical_representation\": [\"2017/12/27\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/12/27?\", \"36 minutes\"], [\"what did I read on 2017/12/27?\", \"a book\"], [\"Did I read on 2017/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12138\", \"logical_representation\": [\"2017/12/27\", \"a movie\", \"9 minutes\"], \"text_template_based\": \"I watched a movie for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/27?\", \"9 minutes\"], [\"what did I watch on tv on 2017/12/27?\", \"a movie\"], [\"Did I watch tv on 2017/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/28\": {\"exercise\": {\"eid\": \"e12139\", \"logical_representation\": [\"2017/12/28\", \"biking\"], \"text_template_based\": \"I did biking on 2017/12/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12140\", \"logical_representation\": [\"2017/12/28\", \"lunch\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12141\", \"logical_representation\": [\"2017/12/28\", \"dinner\", \"a burger\", \"Layla, Rylee, Olivia, Nevaeh, Claire, Hazel, Kinsley, Piper, Piper, Lydia\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12142\", \"logical_representation\": [\"2017/12/28\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/12/28?\", \"33 minutes\"], [\"what did I read on 2017/12/28?\", \"social media\"], [\"Did I read on 2017/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/31\": {\"chat0\": {\"eid\": \"e12150\", \"logical_representation\": [\"2017/12/31\", \"Nora, Avery, Rylee\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Nora, Avery, Rylee for 14 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery, Rylee in the late afternoon on 2017/12/31?\", \"14 minutes\"], [\"who did I talk to on 2017/12/31?\", \"Nora, Avery, Rylee\"], [\"Did I talk to Nora, Avery, Rylee on 2017/12/31?\", \"yes\"], [\"Did I talk to anyone on 2017/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12151\", \"logical_representation\": [\"2017/12/31\", \"Eva, Piper, Kinsley\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Eva, Piper, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Kinsley late in the evening on 2017/12/31?\", \"40 minutes\"], [\"who did I talk to on 2017/12/31?\", \"Eva, Piper, Kinsley\"], [\"Did I talk to Eva, Piper, Kinsley on 2017/12/31?\", \"yes\"], [\"Did I talk to anyone on 2017/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12152\", \"logical_representation\": [\"2017/12/31\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/12/31?\", \"50 minutes\"], [\"what did I read on 2017/12/31?\", \"social media\"], [\"Did I read on 2017/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12153\", \"logical_representation\": [\"2017/12/31\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/31?\", \"5 minutes\"], [\"what did I watch on tv on 2017/12/31?\", \"a movie\"], [\"Did I watch tv on 2017/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/01\": {\"read\": {\"eid\": \"e12154\", \"logical_representation\": [\"2018/01/01\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/01/01?\", \"17 minutes\"], [\"what did I read on 2018/01/01?\", \"news\"], [\"Did I read on 2018/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12284\", \"logical_representation\": [\"2018/01/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/01/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12285\", \"logical_representation\": [\"2018/01/01\", \"breakfast\", \"pancakes\", \"Nora, Hazel, Piper, Lydia, Claire, Layla, Rylee, Olivia, Nevaeh, Avery, Kinsley, Eva, Piper\"], \"text_template_based\": \"I had pancakes for breakfast with Nora, Hazel, Piper, Lydia, Claire, Layla, Rylee, Olivia, Nevaeh, Avery, Kinsley, Eva, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/01/01?\", \"Nora, Hazel, Piper, Lydia, Claire, Layla, Rylee, Olivia, Nevaeh, Avery, Kinsley, Eva, Piper\"], [\"what did I eat for breakfast on 2018/01/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/27\": {\"travel\": {\"eid\": \"e12155\", \"logical_representation\": [\"2018/02/27\", \"2018/03/12\", [\"Avery\"], \"Shanghai, China\"], \"text_template_based\": \"On 2018/02/27 Avery and I went to Shanghai, China together for 13 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Shanghai, China on 2018/02/27?\", \"Avery\"], [\"who did I go with to Shanghai, China?\", \"Avery\"], [\"where did I go on 2018/02/27?\", \"Shanghai, China\"], [\"when did I go to Shanghai, China?\", \"2018/02/27\"], [\"when did I go to Shanghai, China with Avery ?\", \"2018/02/27\"], [\"How long did I stay in Shanghai, China?\", \"13\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12494\", \"logical_representation\": [\"2018/02/27\", \"breakfast\", \"oatmeal\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Kayden, Emily, Carter, Andrew. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/02/27?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2018/02/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12495\", \"logical_representation\": [\"2018/02/27\", \"lunch\", \"sandwich\", \"Emily, Andrew\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/02/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12496\", \"logical_representation\": [\"2018/02/27\", \"Layla, Nevaeh, Lydia, Kinsley\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Layla, Nevaeh, Lydia, Kinsley for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Lydia, Kinsley during lunch hours on 2018/02/27?\", \"31 minutes\"], [\"who did I talk to on 2018/02/27?\", \"Layla, Nevaeh, Lydia, Kinsley\"], [\"Did I talk to Layla, Nevaeh, Lydia, Kinsley on 2018/02/27?\", \"yes\"], [\"Did I talk to anyone on 2018/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12497\", \"logical_representation\": [\"2018/02/27\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/02/27?\", \"51 minutes\"], [\"what did I read on 2018/02/27?\", \"social media\"], [\"Did I read on 2018/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12498\", \"logical_representation\": [\"2018/02/27\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/27?\", \"50 minutes\"], [\"what did I watch on tv on 2018/02/27?\", \"a movie\"], [\"Did I watch tv on 2018/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/28\": {\"dining\": {\"eid\": \"e12156\", \"logical_representation\": [\"2018/02/28\", [\"Avery\"], \"Chinese food\", \"Yuyuan Lu junction\"], \"text_template_based\": \"I ate Chinese food at Yuyuan Lu junction with Avery on  2018/02/28 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Yuyuan Lu junction ?\", \"Avery\"], [\"who did I eat Chinese food with?\", \"Avery\"], [\"where did we eat Chinese food during our trip to Shanghai, China on  2018/02/28?\", \"Yuyuan Lu junction\"], [\"when did we eat Chinese food at Yuyuan Lu junction during our trip to Shanghai, China?\", \"2018/02/28\"], [\"when did we eat at Yuyuan Lu junction?\", \"2018/02/28\"], [\"when did we eat Chinese food?\", \"2018/02/28\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e12186\", \"logical_representation\": [\"2018/02/28\", \"I went grocery shopping with Kayden, Emily, Andrew, Carter. 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I bought some blackberries, apple juice, coffee, mineral water, mango juice, and facial wash, conditioner, toilet paper, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/02/28?\", \"blackberries, apple juice, coffee, mineral water, mango juice, and facial wash, conditioner, toilet paper, body lotion\"], [\"what fruits did I buy from the grocery store on 2018/02/28?\", \"blackberries\"], [\"what drinks did I buy from the grocery store on 2018/02/28?\", \"apple juice, coffee, mineral water, mango juice\"], [\"what toiletries did I buy from the grocery store on 2018/02/28?\", \"facial wash, conditioner, toilet paper, body lotion\"], [\"who was with me at the grocery store on 2018/02/28?\", \"Kayden, Emily, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12499\", \"logical_representation\": [\"2018/02/28\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/28?\", \"46 minutes\"], [\"what did I watch on tv on 2018/02/28?\", \"news\"], [\"Did I watch tv on 2018/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/01\": {\"dining\": {\"eid\": \"e12157\", \"logical_representation\": [\"2018/03/01\", [\"Avery\"], \"Italian food\", \"Wanhangdu Lu junction\"], \"text_template_based\": \"I ate Italian food at Wanhangdu Lu junction with Avery on  2018/03/01 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Wanhangdu Lu junction ?\", \"Avery\"], [\"who did I eat Italian food with?\", \"Avery\"], [\"where did we eat Italian food during our trip to Shanghai, China on  2018/03/01?\", \"Wanhangdu Lu junction\"], [\"when did we eat Italian food at Wanhangdu Lu junction during our trip to Shanghai, China?\", \"2018/03/01\"], [\"when did we eat at Wanhangdu Lu junction?\", \"2018/03/01\"], [\"when did we eat Italian food?\", \"2018/03/01\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12500\", \"logical_representation\": [\"2018/03/01\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/03/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12501\", \"logical_representation\": [\"2018/03/01\", \"lunch\", \"sushi\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12502\", \"logical_representation\": [\"2018/03/01\", \"a tv series\", \"53 minutes\"], \"text_template_based\": \"I watched a tv series for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/01?\", \"53 minutes\"], [\"what did I watch on tv on 2018/03/01?\", \"a tv series\"], [\"Did I watch tv on 2018/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/03\": {\"dining\": {\"eid\": \"e12158\", \"logical_representation\": [\"2018/03/03\", [\"Avery\"], \"Japanese food\", \"Fangbang Xi Lu\"], \"text_template_based\": \"I ate Japanese food at Fangbang Xi Lu with Avery on  2018/03/03 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Fangbang Xi Lu ?\", \"Avery\"], [\"who did I eat Japanese food with?\", \"Avery\"], [\"where did we eat Japanese food during our trip to Shanghai, China on  2018/03/03?\", \"Fangbang Xi Lu\"], [\"when did we eat Japanese food at Fangbang Xi Lu during our trip to Shanghai, China?\", \"2018/03/03\"], [\"when did we eat at Fangbang Xi Lu?\", \"2018/03/03\"], [\"when did we eat Japanese food?\", \"2018/03/03\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12506\", \"logical_representation\": [\"2018/03/03\", \"dinner\", \"a burger\", \"Kayden, Emily\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/03/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12507\", \"logical_representation\": [\"2018/03/03\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I watched a documentary for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/03?\", \"46 minutes\"], [\"what did I watch on tv on 2018/03/03?\", \"a documentary\"], [\"Did I watch tv on 2018/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/04\": {\"dining\": {\"eid\": \"e12159\", \"logical_representation\": [\"2018/03/04\", [\"Avery\"], \"Italian food\", \"Wanhangdu Lu junction\"], \"text_template_based\": \"I ate Italian food at Wanhangdu Lu junction with Avery on  2018/03/04 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Wanhangdu Lu junction ?\", \"Avery\"], [\"who did I eat Italian food with?\", \"Avery\"], [\"where did we eat Italian food during our trip to Shanghai, China on  2018/03/04?\", \"Wanhangdu Lu junction\"], [\"when did we eat Italian food at Wanhangdu Lu junction during our trip to Shanghai, China?\", \"2018/03/04\"], [\"when did we eat at Wanhangdu Lu junction?\", \"2018/03/04\"], [\"when did we eat Italian food?\", \"2018/03/04\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12508\", \"logical_representation\": [\"2018/03/04\", \"breakfast\", \"pancakes\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had breakfast with Jackson, Benjamin, Avery. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/03/04?\", \"Jackson, Benjamin, Avery\"], [\"what did I eat for breakfast on 2018/03/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12509\", \"logical_representation\": [\"2018/03/04\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had dinner. 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[\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/05?\", \"39 minutes\"], [\"what did I watch on tv on 2018/03/05?\", \"news\"], [\"Did I watch tv on 2018/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/08\": {\"dining\": {\"eid\": \"e12161\", \"logical_representation\": [\"2018/03/08\", [\"Avery\"], \"local food\", \"South Bund Fabric Market\"], \"text_template_based\": \"I ate local food at South Bund Fabric Market with Avery on  2018/03/08 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at South Bund Fabric Market ?\", \"Avery\"], [\"who did I eat local food with?\", \"Avery\"], [\"where did we eat local food during our trip to Shanghai, China on  2018/03/08?\", \"South Bund Fabric Market\"], [\"when did we eat local food at South Bund Fabric Market during our trip to Shanghai, China?\", \"2018/03/08\"], [\"when did we eat at South Bund Fabric Market?\", \"2018/03/08\"], [\"when did 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I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/03/08\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12521\", \"logical_representation\": [\"2018/03/08\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/03/08?\", \"20 minutes\"], [\"what did I read on 2018/03/08?\", \"news\"], [\"Did I read on 2018/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/09\": {\"dining\": {\"eid\": \"e12162\", \"logical_representation\": [\"2018/03/09\", [\"Avery\"], \"local food\", \"Fangbang Xi Lu\"], \"text_template_based\": \"I ate local food at Fangbang Xi Lu with Avery on  2018/03/09 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at Fangbang Xi Lu ?\", \"Avery\"], [\"who did I eat local food with?\", \"Avery\"], [\"where did we eat local food during our trip to Shanghai, China on  2018/03/09?\", \"Fangbang Xi Lu\"], [\"when did we eat local food at Fangbang Xi Lu during our trip to Shanghai, China?\", \"2018/03/09\"], [\"when did we eat at Fangbang Xi Lu?\", \"2018/03/09\"], [\"when did we eat local food?\", \"2018/03/09\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e12187\", \"logical_representation\": [\"2018/03/09\", \"Christian\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Christian on 2018/03/09 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/03/09\", \"Christian\"], [\"where did I go for the date on 2018/03/09\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12522\", \"logical_representation\": [\"2018/03/09\", \"breakfast\", \"cereals\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast with Avery, Willow, Benjamin, Jackson. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/03/09?\", \"Avery, Willow, Benjamin, Jackson\"], [\"what did I eat for breakfast on 2018/03/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12523\", \"logical_representation\": [\"2018/03/09\", \"lunch\", \"sandwich\", \"Nora, Kinsley, Piper, Hazel, Avery, Layla\"], \"text_template_based\": \"I had sandwich for lunch with Nora, Kinsley, Piper, Hazel, Avery, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/03/09?\", \"Nora, Kinsley, Piper, Hazel, Avery, Layla\"], [\"what did I eat for lunch on 2018/03/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12524\", \"logical_representation\": [\"2018/03/09\", \"dinner\", \"pasta\", \"Carter, Kayden\"], \"text_template_based\": \"I had pasta for dinner with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/03/09?\", \"Carter, Kayden\"], [\"what did I eat for dinner on 2018/03/09\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12525\", \"logical_representation\": [\"2018/03/09\", \"Piper, Claire, Piper, Rylee\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Piper, Rylee for 22 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Piper, Rylee in the morning on 2018/03/09?\", \"22 minutes\"], [\"who did I talk to on 2018/03/09?\", \"Piper, Claire, Piper, Rylee\"], [\"Did I talk to Piper, Claire, Piper, Rylee on 2018/03/09?\", \"yes\"], [\"Did I talk to anyone on 2018/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12526\", \"logical_representation\": [\"2018/03/09\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/03/09?\", \"42 minutes\"], [\"what did I read on 2018/03/09?\", \"social media\"], [\"Did I read on 2018/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/10\": {\"dining\": {\"eid\": \"e12163\", \"logical_representation\": [\"2018/03/10\", [\"Avery\"], \"Japanese food\", \"Fangbang Xi Lu\"], \"text_template_based\": \"I ate Japanese food at Fangbang Xi Lu with Avery on  2018/03/10 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Fangbang Xi Lu ?\", \"Avery\"], [\"who did I eat Japanese food with?\", \"Avery\"], [\"where did we eat Japanese food during our trip to Shanghai, China on  2018/03/10?\", \"Fangbang Xi Lu\"], [\"when did we eat Japanese food at Fangbang Xi Lu during our trip to Shanghai, China?\", \"2018/03/10\"], [\"when did we eat at Fangbang Xi Lu?\", \"2018/03/10\"], [\"when did we eat 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\"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/03/10?\", \"54 minutes\"], [\"what did I read on 2018/03/10?\", \"news\"], [\"Did I read on 2018/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12530\", \"logical_representation\": [\"2018/03/10\", \"news\", \"23 minutes\"], \"text_template_based\": \"I watched news for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/10?\", \"23 minutes\"], [\"what did I watch on tv on 2018/03/10?\", \"news\"], [\"Did I watch tv on 2018/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/11\": {\"dining\": {\"eid\": \"e12164\", \"logical_representation\": [\"2018/03/11\", [\"Avery\"], \"Indian food\", \"Fangbang Xi Lu\"], \"text_template_based\": \"I ate Indian food at Fangbang Xi Lu with Avery on  2018/03/11 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Fangbang Xi Lu ?\", \"Avery\"], [\"who did I eat Indian food with?\", \"Avery\"], [\"where did we eat Indian food during our trip to Shanghai, China on  2018/03/11?\", \"Fangbang Xi Lu\"], [\"when did we eat Indian food at Fangbang Xi Lu during our trip to Shanghai, China?\", \"2018/03/11\"], [\"when did we eat at Fangbang Xi Lu?\", \"2018/03/11\"], [\"when did we eat Indian food?\", \"2018/03/11\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e12190\", \"logical_representation\": [\"2018/03/11\", \"I bought some clementines, mangos, peaches, orange juice, mineral water, apple juice, milk, toothbrush from the grocery store. 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I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/01/05?\", \"Emily\"], [\"what did I eat for lunch on 2018/01/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12297\", \"logical_representation\": [\"2018/01/05\", \"dinner\", \"chinese food\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had chinese food for dinner with Avery, Willow, Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/01/05?\", \"Avery, Willow, Benjamin, Jackson\"], [\"what did I eat for dinner on 2018/01/05\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12298\", \"logical_representation\": [\"2018/01/05\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/05?\", \"34 minutes\"], [\"what did I watch on tv on 2018/01/05?\", \"news\"], [\"Did I watch tv on 2018/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/10\": {\"grocery\": {\"eid\": \"e12170\", \"logical_representation\": [\"2018/01/10\", \"I bought some apples, apricots, clementines, pears, pineapple juice, mouth wash, shaving cream from the grocery store. I saw Emily, Andrew, Carter at the grocery store.\", \"apples, apricots, clementines, pears\", \"pineapple juice\", \"mouth wash, shaving cream\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I bought some apples, apricots, clementines, pears, pineapple juice, mouth wash, shaving cream from the grocery store. I saw Emily, Andrew, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/01/10?\", \"apples, apricots, clementines, pears, pineapple juice, and mouth wash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2018/01/10?\", \"apples, apricots, clementines, pears\"], [\"what drinks did I buy from the grocery store on 2018/01/10?\", \"pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2018/01/10?\", \"mouth wash, shaving cream\"], [\"who did I see at the grocery store on 2018/01/10?\", \"Emily, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12310\", \"logical_representation\": [\"2018/01/10\", \"breakfast\", \"toast and cheese\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast. 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I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/01/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12344\", \"logical_representation\": [\"2018/01/18\", \"Eva, Piper, Nora, Olivia\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Eva, Piper, Nora, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Nora, Olivia in the early evening on 2018/01/18?\", \"47 minutes\"], [\"who did I talk to on 2018/01/18?\", \"Eva, Piper, Nora, Olivia\"], [\"Did I talk to Eva, Piper, Nora, Olivia on 2018/01/18?\", \"yes\"], [\"Did I talk to anyone on 2018/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12345\", \"logical_representation\": [\"2018/01/18\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/01/18?\", \"35 minutes\"], [\"what did I read on 2018/01/18?\", \"social media\"], [\"Did I read on 2018/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12346\", \"logical_representation\": [\"2018/01/18\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/18?\", \"48 minutes\"], [\"what did I watch on tv on 2018/01/18?\", \"a tv series\"], [\"Did I watch tv on 2018/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/16\": {\"grocery\": {\"eid\": \"e12172\", \"logical_representation\": [\"2018/01/16\", \"I bought some blackberries, mangos, apricots, tea, chocolate milk, soda, mango juice, conditioner, toilet paper, shampoo from the grocery store. I saw Andrew at the grocery store.\", \"blackberries, mangos, apricots\", \"tea, chocolate milk, soda, mango juice\", \"conditioner, toilet paper, shampoo\", \"Andrew\"], \"text_template_based\": \"I bought some blackberries, mangos, apricots, tea, chocolate milk, soda, mango juice, conditioner, toilet paper, shampoo from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/01/16?\", \"blackberries, mangos, apricots, tea, chocolate milk, soda, mango juice, and conditioner, toilet paper, shampoo\"], [\"what fruits did I buy from the grocery store on 2018/01/16?\", \"blackberries, mangos, apricots\"], [\"what drinks did I buy from the grocery store on 2018/01/16?\", \"tea, chocolate milk, soda, mango juice\"], [\"what toiletries did I buy from the grocery store on 2018/01/16?\", \"conditioner, toilet paper, shampoo\"], [\"who did I see at the grocery store on 2018/01/16?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12335\", \"logical_representation\": [\"2018/01/16\", \"dinner\", \"pasta\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had pasta for dinner with Andrew, Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/01/16?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for dinner on 2018/01/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12336\", \"logical_representation\": [\"2018/01/16\", \"Nevaeh, Claire, Nora\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Claire, Nora for 17 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire, Nora in the early afternoon on 2018/01/16?\", \"17 minutes\"], [\"who did I talk to on 2018/01/16?\", \"Nevaeh, Claire, Nora\"], [\"Did I talk to Nevaeh, Claire, Nora on 2018/01/16?\", \"yes\"], [\"Did I talk to anyone on 2018/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12337\", \"logical_representation\": [\"2018/01/16\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/01/16?\", \"16 minutes\"], [\"what did I read on 2018/01/16?\", \"news\"], [\"Did I read on 2018/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/21\": {\"grocery\": {\"eid\": \"e12173\", \"logical_representation\": [\"2018/01/21\", \"I bought some guava, clementines, pears, sports drinks, soda, toothpaste, body lotion, conditioner, paper towel online.\", \"guava, clementines, pears\", \"sports drinks, soda\", \"toothpaste, body lotion, conditioner, paper towel\", \"Avery, Layla, Kinsley, Olivia, Rylee, Lydia, Hazel, Claire\"], \"text_template_based\": \"I bought some guava, clementines, pears, sports drinks, soda, toothpaste, body lotion, conditioner, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/01/21?\", \"guava, clementines, pears, sports drinks, soda, and toothpaste, body lotion, conditioner, paper towel\"], [\"what fruits did I buy online on 2018/01/21?\", \"guava, clementines, pears\"], [\"what drinks did I buy online on 2018/01/21?\", \"sports drinks, soda\"], [\"what toiletries did I buy online on 2018/01/21?\", \"toothpaste, body lotion, conditioner, paper towel\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12354\", \"logical_representation\": [\"2018/01/21\", \"lunch\", \"sushi\", \"Nora, Layla, Lydia, Rylee, Claire, Eva, Piper, Nevaeh, Kinsley, Olivia, Piper, Avery, Hazel\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/01/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12355\", \"logical_representation\": [\"2018/01/21\", \"dinner\", \"indian food\", \"Lydia, Claire, Rylee, Piper\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/01/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12356\", \"logical_representation\": [\"2018/01/21\", \"Layla, Eva, Nora\", \"during lunch hours\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Layla, Eva, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Nora during lunch hours on 2018/01/21?\", \"40 minutes\"], [\"who did I talk to on 2018/01/21?\", \"Layla, Eva, Nora\"], [\"Did I talk to Layla, Eva, Nora on 2018/01/21?\", \"yes\"], [\"Did I talk to anyone on 2018/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12357\", \"logical_representation\": [\"2018/01/21\", \"Piper, Claire, Hazel\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Piper, Claire, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Hazel during lunch hours on 2018/01/21?\", \"13 minutes\"], [\"who did I talk to on 2018/01/21?\", \"Piper, Claire, Hazel\"], [\"Did I talk to Piper, Claire, Hazel on 2018/01/21?\", \"yes\"], [\"Did I talk to anyone on 2018/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12358\", \"logical_representation\": [\"2018/01/21\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/01/21?\", \"19 minutes\"], [\"what did I read on 2018/01/21?\", \"social media\"], [\"Did I read on 2018/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/25\": {\"dating\": {\"eid\": \"e12174\", \"logical_representation\": [\"2018/01/25\", \"Ruby\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Ruby on 2018/01/25 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/01/25\", \"Ruby\"], [\"where did I go for the date on 2018/01/25\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12370\", \"logical_representation\": [\"2018/01/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora, Hazel, Piper, Rylee, Claire, Piper, Olivia\"], \"text_template_based\": \"I had breakfast with Nora, Hazel, Piper, Rylee, Claire, Piper, Olivia. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/01/25?\", \"Nora, Hazel, Piper, Rylee, Claire, Piper, Olivia\"], [\"what did I eat for breakfast on 2018/01/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12371\", \"logical_representation\": [\"2018/01/25\", \"lunch\", \"fish and chips\", \"Claire, Nora\"], \"text_template_based\": \"I had lunch with Claire, Nora. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/01/25?\", \"Claire, Nora\"], [\"what did I eat for lunch on 2018/01/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12372\", \"logical_representation\": [\"2018/01/25\", \"dinner\", \"a burger\", \"Claire, Nevaeh, Nora, Layla, Piper, Rylee, Piper, Olivia, Eva\"], \"text_template_based\": \"I had a burger for dinner with Claire, Nevaeh, Nora, Layla, Piper, Rylee, Piper, Olivia, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/01/25?\", \"Claire, Nevaeh, Nora, Layla, Piper, Rylee, Piper, Olivia, Eva\"], [\"what did I eat for dinner on 2018/01/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12373\", \"logical_representation\": [\"2018/01/25\", \"Kinsley, Nora, Lydia\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora, Lydia for 16 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Lydia in the early evening on 2018/01/25?\", \"16 minutes\"], [\"who did I talk to on 2018/01/25?\", \"Kinsley, Nora, Lydia\"], [\"Did I talk to Kinsley, Nora, Lydia on 2018/01/25?\", \"yes\"], [\"Did I talk to anyone on 2018/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12374\", \"logical_representation\": [\"2018/01/25\", \"Eva, Lydia, Claire\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Eva, Lydia, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Claire in the early afternoon on 2018/01/25?\", \"16 minutes\"], [\"who did I talk to on 2018/01/25?\", \"Eva, Lydia, Claire\"], [\"Did I talk to Eva, Lydia, Claire on 2018/01/25?\", \"yes\"], [\"Did I talk to anyone on 2018/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/26\": {\"grocery\": {\"eid\": \"e12175\", \"logical_representation\": [\"2018/01/26\", \"I bought some nectarines, guava juice, milk, mineral water, sports drinks, conditioner, toothpaste, mouth wash online.\", \"nectarines\", \"guava juice, milk, mineral water, sports drinks\", \"conditioner, toothpaste, mouth wash\", \"Jackson, Avery\"], \"text_template_based\": \"I bought some nectarines, guava juice, milk, mineral water, sports drinks, conditioner, toothpaste, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/01/26?\", \"nectarines, guava juice, milk, mineral water, sports drinks, and conditioner, toothpaste, mouth wash\"], [\"what fruits did I buy online on 2018/01/26?\", \"nectarines\"], [\"what drinks did I buy online on 2018/01/26?\", \"guava juice, milk, mineral water, sports drinks\"], [\"what toiletries did I buy online on 2018/01/26?\", \"conditioner, toothpaste, mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12375\", \"logical_representation\": [\"2018/01/26\", \"running\"], \"text_template_based\": \"I did running on 2018/01/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12376\", \"logical_representation\": [\"2018/01/26\", \"breakfast\", \"oatmeal\", \"Layla\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/01/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12377\", \"logical_representation\": [\"2018/01/26\", \"lunch\", \"fish and chips\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/01/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12378\", \"logical_representation\": [\"2018/01/26\", \"dinner\", \"a burger\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/01/26?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2018/01/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12379\", \"logical_representation\": [\"2018/01/26\", \"Nora, Lydia\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Nora, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia in the early afternoon on 2018/01/26?\", \"28 minutes\"], [\"who did I talk to on 2018/01/26?\", \"Nora, Lydia\"], [\"Did I talk to Nora, Lydia on 2018/01/26?\", \"yes\"], [\"Did I talk to anyone on 2018/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/29\": {\"grocery\": {\"eid\": \"e12176\", \"logical_representation\": [\"2018/01/29\", \"I went grocery shopping with Carter, Emily, Andrew. I bought some guava, peaches, blackberries, mangos, chocolate milk, apple juice, orange juice, and paper towel, facial wash, shaving cream\", \"guava, peaches, blackberries, mangos\", \"chocolate milk, apple juice, orange juice\", \"paper towel, facial wash, shaving cream\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping with Carter, Emily, Andrew. I bought some guava, peaches, blackberries, mangos, chocolate milk, apple juice, orange juice, and paper towel, facial wash, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/01/29?\", \"guava, peaches, blackberries, mangos, chocolate milk, apple juice, orange juice, and paper towel, facial wash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2018/01/29?\", \"guava, peaches, blackberries, mangos\"], [\"what drinks did I buy from the grocery store on 2018/01/29?\", \"chocolate milk, apple juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2018/01/29?\", \"paper towel, facial wash, shaving cream\"], [\"who was with me at the grocery store on 2018/01/29?\", \"Carter, Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12387\", \"logical_representation\": [\"2018/01/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Olivia, Layla, Hazel, Piper, Lydia, Piper, Claire, Nevaeh\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/01/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12388\", \"logical_representation\": [\"2018/01/29\", \"lunch\", \"steak\", \"Andrew\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/01/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12389\", \"logical_representation\": [\"2018/01/29\", \"Nevaeh, Kinsley, Eva, Nora\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Nevaeh, Kinsley, Eva, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Eva, Nora late in the evening on 2018/01/29?\", \"45 minutes\"], [\"who did I talk to on 2018/01/29?\", \"Nevaeh, Kinsley, Eva, Nora\"], [\"Did I talk to Nevaeh, Kinsley, Eva, Nora on 2018/01/29?\", \"yes\"], [\"Did I talk to anyone on 2018/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12390\", \"logical_representation\": [\"2018/01/29\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/01/29?\", \"27 minutes\"], [\"what did I read on 2018/01/29?\", \"social media\"], [\"Did I read on 2018/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/07\": {\"bake\": {\"eid\": \"e12177\", \"logical_representation\": [\"2018/02/07\", \"I was baking chocolate-chip mug brownie, carrot cake on 2018/02/07 with Emily, Andrew, Carter at my place\", \"bake\", \"chocolate-chip mug brownie, carrot cake\", \"Emily, Andrew, Carter\", \"my place\"], \"text_template_based\": \"I was baking chocolate-chip mug brownie, carrot cake on 2018/02/07 with Emily, Andrew, Carter at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  chocolate-chip mug brownie, carrot cake with Emily, Andrew, Carter?\", \"2018/02/07\"], [\"what did I  on 2018/02/07?\", \"chocolate-chip mug brownie, carrot cake\"], [\"who was I with when I  chocolate-chip mug brownie, carrot cake on 2018/02/07?\", \"Emily, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12418\", \"logical_representation\": [\"2018/02/07\", \"breakfast\", \"cereals\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Carter, Kayden, Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/02/07?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2018/02/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12419\", \"logical_representation\": [\"2018/02/07\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I watched a tv series for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/07?\", \"9 minutes\"], [\"what did I watch on tv on 2018/02/07?\", \"a tv series\"], [\"Did I watch tv on 2018/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/11\": {\"dating\": {\"eid\": \"e12178\", \"logical_representation\": [\"2018/02/11\", \"John\", \"a park\"], \"text_template_based\": \"I went on a date with John on 2018/02/11 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/02/11\", \"John\"], [\"where did I go for the date on 2018/02/11\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e12180\", \"logical_representation\": [\"2018/02/11\", \"I went grocery shopping. I bought some blueberries, guava, apricots, raspberries, guava juice, mineral water, sports drinks, coffee, and mouth wash, body lotion\", \"blueberries, guava, apricots, raspberries\", \"guava juice, mineral water, sports drinks, coffee\", \"mouth wash, body lotion\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some blueberries, guava, apricots, raspberries, guava juice, mineral water, sports drinks, coffee, and mouth wash, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/02/11?\", \"blueberries, guava, apricots, raspberries, guava juice, mineral water, sports drinks, coffee, and mouth wash, body lotion\"], [\"what fruits did I buy from the grocery store on 2018/02/11?\", \"blueberries, guava, apricots, raspberries\"], [\"what drinks did I buy from the grocery store on 2018/02/11?\", \"guava juice, mineral water, sports drinks, coffee\"], [\"what toiletries did I buy from the grocery store on 2018/02/11?\", \"mouth wash, body lotion\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12429\", \"logical_representation\": [\"2018/02/11\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/02/11?\", \"32 minutes\"], [\"what did I read on 2018/02/11?\", \"news\"], [\"Did I read on 2018/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/05\": {\"grocery\": {\"eid\": \"e12179\", \"logical_representation\": [\"2018/02/05\", \"I bought some oranges, nectarines, apricots, mango juice, mineral water, tea, pineapple juice, conditioner, toothpaste, shampoo, facial wash from the grocery store. I saw Benjamin, Jackson at the grocery store.\", \"oranges, nectarines, apricots\", \"mango juice, mineral water, tea, pineapple juice\", \"conditioner, toothpaste, shampoo, facial wash\", \"Benjamin, Jackson\"], \"text_template_based\": \"I bought some oranges, nectarines, apricots, mango juice, mineral water, tea, pineapple juice, conditioner, toothpaste, shampoo, facial wash from the grocery store. I saw Benjamin, Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/02/05?\", \"oranges, nectarines, apricots, mango juice, mineral water, tea, pineapple juice, and conditioner, toothpaste, shampoo, facial wash\"], [\"what fruits did I buy from the grocery store on 2018/02/05?\", \"oranges, nectarines, apricots\"], [\"what drinks did I buy from the grocery store on 2018/02/05?\", \"mango juice, mineral water, tea, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2018/02/05?\", \"conditioner, toothpaste, shampoo, facial wash\"], [\"who did I see at the grocery store on 2018/02/05?\", \"Benjamin, Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12409\", \"logical_representation\": [\"2018/02/05\", \"breakfast\", \"pancakes\", \"Nevaeh, Olivia, Lydia, Rylee, Piper, Layla, Kinsley, Claire, Eva, Piper, Nora\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/02/05\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12410\", \"logical_representation\": [\"2018/02/05\", \"Layla, Rylee, Olivia, Eva\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Layla, Rylee, Olivia, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Olivia, Eva in the early afternoon on 2018/02/05?\", \"46 minutes\"], [\"who did I talk to on 2018/02/05?\", \"Layla, Rylee, Olivia, Eva\"], [\"Did I talk to Layla, Rylee, Olivia, Eva on 2018/02/05?\", \"yes\"], [\"Did I talk to anyone on 2018/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12411\", \"logical_representation\": [\"2018/02/05\", \"a movie\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/05?\", \"47 minutes\"], [\"what did I watch on tv on 2018/02/05?\", \"a movie\"], [\"Did I watch tv on 2018/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/18\": {\"dating\": {\"eid\": \"e12181\", \"logical_representation\": [\"2018/02/18\", \"Jordan\", \"a coffee Shop\"], \"text_template_based\": \"On 2018/02/18, I took Jordan on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/02/18\", \"Jordan\"], [\"where did I go for the date on 2018/02/18\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12452\", \"logical_representation\": [\"2018/02/18\", \"dinner\", \"tacos\", \"Emily, Kayden\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/02/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12453\", \"logical_representation\": [\"2018/02/18\", \"Olivia, Piper\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper for 23 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper in the early evening on 2018/02/18?\", \"23 minutes\"], [\"who did I talk to on 2018/02/18?\", \"Olivia, Piper\"], [\"Did I talk to Olivia, Piper on 2018/02/18?\", \"yes\"], [\"Did I talk to anyone on 2018/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12454\", \"logical_representation\": [\"2018/02/18\", \"Claire, Lydia, Kinsley\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Claire, Lydia, Kinsley for 17 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Kinsley in the early afternoon on 2018/02/18?\", \"17 minutes\"], [\"who did I talk to on 2018/02/18?\", \"Claire, Lydia, Kinsley\"], [\"Did I talk to Claire, Lydia, Kinsley on 2018/02/18?\", \"yes\"], [\"Did I talk to anyone on 2018/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12455\", \"logical_representation\": [\"2018/02/18\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/02/18?\", \"43 minutes\"], [\"what did I read on 2018/02/18?\", \"social media\"], [\"Did I read on 2018/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12456\", \"logical_representation\": [\"2018/02/18\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/18?\", \"40 minutes\"], [\"what did I watch on tv on 2018/02/18?\", \"a tv series\"], [\"Did I watch tv on 2018/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/15\": {\"grocery\": {\"eid\": \"e12182\", \"logical_representation\": [\"2018/02/15\", \"I went grocery shopping. I bought some apples, raspberries, chocolate milk, and body lotion\", \"apples, raspberries\", \"chocolate milk\", \"body lotion\", \"Lydia, Nora, Piper\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, raspberries, chocolate milk, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/02/15?\", \"apples, raspberries, chocolate milk, and body lotion\"], [\"what fruits did I buy from the grocery store on 2018/02/15?\", \"apples, raspberries\"], [\"what drinks did I buy from the grocery store on 2018/02/15?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2018/02/15?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12437\", \"logical_representation\": [\"2018/02/15\", \"breakfast\", \"pancakes\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/02/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12438\", \"logical_representation\": [\"2018/02/15\", \"lunch\", \"a burger\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/02/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12439\", \"logical_representation\": [\"2018/02/15\", \"Hazel, Nevaeh\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Hazel, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh in the morning on 2018/02/15?\", \"22 minutes\"], [\"who did I talk to on 2018/02/15?\", \"Hazel, Nevaeh\"], [\"Did I talk to Hazel, Nevaeh on 2018/02/15?\", \"yes\"], [\"Did I talk to anyone on 2018/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12440\", \"logical_representation\": [\"2018/02/15\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/02/15?\", \"32 minutes\"], [\"what did I read on 2018/02/15?\", \"a book\"], [\"Did I read on 2018/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12441\", \"logical_representation\": [\"2018/02/15\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/15?\", \"23 minutes\"], [\"what did I watch on tv on 2018/02/15?\", \"a documentary\"], [\"Did I watch tv on 2018/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/20\": {\"hobbies\": {\"eid\": \"e12183\", \"logical_representation\": [\"2018/02/20\", \"I spent time learning a language on 2018/02/20 with Carter, Emily.\", \"learning a language\", \"Carter, Emily\"], \"text_template_based\": \"I spent time learning a language on 2018/02/20 with Carter, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Carter, Emily?\", \"2018/02/20\"], [\"On 2018/02/20, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2018/02/20?\", \"Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12460\", \"logical_representation\": [\"2018/02/20\", \"biking\"], \"text_template_based\": \"I did biking on 2018/02/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12461\", \"logical_representation\": [\"2018/02/20\", \"breakfast\", \"oatmeal\", \"Kayden\"], \"text_template_based\": \"I had oatmeal for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/02/20?\", \"Kayden\"], [\"what did I eat for breakfast on 2018/02/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12462\", \"logical_representation\": [\"2018/02/20\", \"lunch\", \"sandwich\", \"Jackson, Avery\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/02/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12463\", \"logical_representation\": [\"2018/02/20\", \"dinner\", \"fish and chips\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/02/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12464\", \"logical_representation\": [\"2018/02/20\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/02/20?\", \"28 minutes\"], [\"what did I read on 2018/02/20?\", \"news\"], [\"Did I read on 2018/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/23\": {\"grocery\": {\"eid\": \"e12184\", \"logical_representation\": [\"2018/02/23\", \"I bought some apricots, bananas, pineapple juice, soda, toothpaste online.\", \"apricots, bananas\", \"pineapple juice, soda\", \"toothpaste\", \"Avery, Rylee, Layla\"], \"text_template_based\": \"I bought some apricots, bananas, pineapple juice, soda, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/02/23?\", \"apricots, bananas, pineapple juice, soda, and toothpaste\"], [\"what fruits did I buy online on 2018/02/23?\", \"apricots, bananas\"], [\"what drinks did I buy online on 2018/02/23?\", \"pineapple juice, soda\"], [\"what toiletries did I buy online on 2018/02/23?\", \"toothpaste\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12474\", \"logical_representation\": [\"2018/02/23\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Andrew, Kayden, Carter. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/02/23?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2018/02/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12475\", \"logical_representation\": [\"2018/02/23\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/23?\", \"23 minutes\"], [\"what did I watch on tv on 2018/02/23?\", \"a tv series\"], [\"Did I watch tv on 2018/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/02\": {\"dating\": {\"eid\": \"e12185\", \"logical_representation\": [\"2018/03/02\", \"Charlotte\", \"a restaurant\"], \"text_template_based\": \"On 2018/03/02, I took Charlotte on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/03/02\", \"Charlotte\"], [\"where did I go for the date on 2018/03/02\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12503\", \"logical_representation\": [\"2018/03/02\", \"lunch\", \"sandwich\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12504\", \"logical_representation\": [\"2018/03/02\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I had steak for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/03/02?\", \"Emily\"], [\"what did I eat for dinner on 2018/03/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12505\", \"logical_representation\": [\"2018/03/02\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I watched a movie for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/02?\", \"29 minutes\"], [\"what did I watch on tv on 2018/03/02?\", \"a movie\"], [\"Did I watch tv on 2018/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/06\": {\"hobbies\": {\"eid\": \"e12188\", \"logical_representation\": [\"2018/03/06\", \"I spent some time working out on 2018/03/06.\", \"working out\", \"Kayden, Carter\"], \"text_template_based\": \"I spent some time working out on 2018/03/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2018/03/06\"], [\"On 2018/03/06, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e12189\", \"logical_representation\": [\"2018/03/06\", \"I bought some blueberries, pears, mineral water, milk, toothpaste, mouthwash, shaving cream online.\", \"blueberries, pears\", \"mineral water, milk\", \"toothpaste, mouthwash, shaving cream\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I bought some blueberries, pears, mineral water, milk, toothpaste, mouthwash, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/03/06?\", \"blueberries, pears, mineral water, milk, and toothpaste, mouthwash, shaving cream\"], [\"what fruits did I buy online on 2018/03/06?\", \"blueberries, pears\"], [\"what drinks did I buy online on 2018/03/06?\", \"mineral water, milk\"], [\"what toiletries did I buy online on 2018/03/06?\", \"toothpaste, mouthwash, shaving cream\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12517\", \"logical_representation\": [\"2018/03/06\", \"breakfast\", \"cereals\", \"Avery, Piper, Rylee, Olivia, Lydia, Nora, Hazel, Nevaeh\"], \"text_template_based\": \"I had breakfast with Avery, Piper, Rylee, Olivia, Lydia, Nora, Hazel, Nevaeh. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/03/06?\", \"Avery, Piper, Rylee, Olivia, Lydia, Nora, Hazel, Nevaeh\"], [\"what did I eat for breakfast on 2018/03/06\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2018/03/16\": {\"dating\": {\"eid\": \"e12192\", \"logical_representation\": [\"2018/03/16\", \"Athena\", \"a restaurant\"], \"text_template_based\": \"On 2018/03/16, I took Athena on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/03/16\", \"Athena\"], [\"where did I go for the date on 2018/03/16\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12549\", \"logical_representation\": [\"2018/03/16\", \"lunch\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12550\", \"logical_representation\": [\"2018/03/16\", \"Rylee, Nora, Claire, Eva\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Rylee, Nora, Claire, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Claire, Eva in the morning on 2018/03/16?\", \"55 minutes\"], [\"who did I talk to on 2018/03/16?\", \"Rylee, Nora, Claire, Eva\"], [\"Did I talk to Rylee, Nora, Claire, Eva on 2018/03/16?\", \"yes\"], [\"Did I talk to anyone on 2018/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12551\", \"logical_representation\": [\"2018/03/16\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/16?\", \"16 minutes\"], [\"what did I watch on tv on 2018/03/16?\", \"a documentary\"], [\"Did I watch tv on 2018/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/15\": {\"grocery\": {\"eid\": \"e12193\", \"logical_representation\": [\"2018/03/15\", \"I bought some watermelons, pineapples, mangos, pineapple juice, mango juice, sports drinks, body lotion, conditioner, facial wash, paper towel from the grocery store. I saw Kayden, Carter at the grocery store.\", \"watermelons, pineapples, mangos\", \"pineapple juice, mango juice, sports drinks\", \"body lotion, conditioner, facial wash, paper towel\", \"Kayden, Carter\"], \"text_template_based\": \"I bought some watermelons, pineapples, mangos, pineapple juice, mango juice, sports drinks, body lotion, conditioner, facial wash, paper towel from the grocery store. I saw Kayden, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/03/15?\", \"watermelons, pineapples, mangos, pineapple juice, mango juice, sports drinks, and body lotion, conditioner, facial wash, paper towel\"], [\"what fruits did I buy from the grocery store on 2018/03/15?\", \"watermelons, pineapples, mangos\"], [\"what drinks did I buy from the grocery store on 2018/03/15?\", \"pineapple juice, mango juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2018/03/15?\", \"body lotion, conditioner, facial wash, paper towel\"], [\"who did I see at the grocery store on 2018/03/15?\", \"Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12544\", \"logical_representation\": [\"2018/03/15\", \"biking\"], \"text_template_based\": \"I did biking on 2018/03/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12545\", \"logical_representation\": [\"2018/03/15\", \"lunch\", \"pasta\", \"Olivia\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12546\", \"logical_representation\": [\"2018/03/15\", \"dinner\", \"chinese food\", \"Layla, Eva, Kinsley, Hazel, Nevaeh, Rylee\"], \"text_template_based\": \"I had chinese food for dinner with Layla, Eva, Kinsley, Hazel, Nevaeh, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/03/15?\", \"Layla, Eva, Kinsley, Hazel, Nevaeh, Rylee\"], [\"what did I eat for dinner on 2018/03/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12547\", \"logical_representation\": [\"2018/03/15\", \"Piper, Avery, Claire\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Piper, Avery, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Claire in the early evening on 2018/03/15?\", \"40 minutes\"], [\"who did I talk to on 2018/03/15?\", \"Piper, Avery, Claire\"], [\"Did I talk to Piper, Avery, Claire on 2018/03/15?\", \"yes\"], [\"Did I talk to anyone on 2018/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12548\", \"logical_representation\": [\"2018/03/15\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/15?\", \"49 minutes\"], [\"what did I watch on tv on 2018/03/15?\", \"a tv series\"], [\"Did I watch tv on 2018/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/21\": {\"dating\": {\"eid\": \"e12194\", \"logical_representation\": [\"2018/03/21\", \"Cameron\", \"a park\"], \"text_template_based\": \"On 2018/03/21, I took Cameron on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/03/21\", \"Cameron\"], [\"where did I go for the date on 2018/03/21\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e12195\", \"logical_representation\": [\"2018/03/21\", \"I really enjoyed learning a language on 2018/03/21\", \"learning a language\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I really enjoyed learning a language on 2018/03/21\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2018/03/21\"], [\"On 2018/03/21, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e12196\", \"logical_representation\": [\"2018/03/21\", \"I bought some blackberries, apples, chocolate milk, mouth wash, body lotion, mouthwash online.\", \"blackberries, apples\", \"chocolate milk\", \"mouth wash, body lotion, mouthwash\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I bought some blackberries, apples, chocolate milk, mouth wash, body lotion, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/03/21?\", \"blackberries, apples, chocolate milk, and mouth wash, body lotion, mouthwash\"], [\"what fruits did I buy online on 2018/03/21?\", \"blackberries, apples\"], [\"what drinks did I buy online on 2018/03/21?\", \"chocolate milk\"], [\"what toiletries did I buy online on 2018/03/21?\", \"mouth wash, body lotion, mouthwash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12569\", \"logical_representation\": [\"2018/03/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/03/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12570\", \"logical_representation\": [\"2018/03/21\", \"lunch\", \"sushi\", \"Benjamin, Avery\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12571\", \"logical_representation\": [\"2018/03/21\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/21?\", \"48 minutes\"], [\"what did I watch on tv on 2018/03/21?\", \"a tv series\"], [\"Did I watch tv on 2018/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/26\": {\"dating\": {\"eid\": \"e12197\", \"logical_representation\": [\"2018/03/26\", \"Eleanor\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Eleanor on 2018/03/26 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/03/26\", \"Eleanor\"], [\"where did I go for the date on 2018/03/26\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12587\", \"logical_representation\": [\"2018/03/26\", \"dinner\", \"sushi\", \"Claire, Kinsley, Lydia, Piper, Olivia, Layla, Avery, Hazel, Rylee\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/03/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12588\", \"logical_representation\": [\"2018/03/26\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/03/26?\", \"18 minutes\"], [\"what did I read on 2018/03/26?\", \"social media\"], [\"Did I read on 2018/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12589\", \"logical_representation\": [\"2018/03/26\", \"a tv series\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/26?\", \"25 minutes\"], [\"what did I watch on tv on 2018/03/26?\", \"a tv series\"], [\"Did I watch tv on 2018/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/31\": {\"grocery\": {\"eid\": \"e12198\", \"logical_representation\": [\"2018/03/31\", \"I went grocery shopping with Carter, Emily. I bought some blackberries, bananas, mangos, apples, apple juice, and paper towel, toilet paper, mouth wash, conditioner\", \"blackberries, bananas, mangos, apples\", \"apple juice\", \"paper towel, toilet paper, mouth wash, conditioner\", \"Carter, Emily\"], \"text_template_based\": \"I went grocery shopping with Carter, Emily. I bought some blackberries, bananas, mangos, apples, apple juice, and paper towel, toilet paper, mouth wash, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/03/31?\", \"blackberries, bananas, mangos, apples, apple juice, and paper towel, toilet paper, mouth wash, conditioner\"], [\"what fruits did I buy from the grocery store on 2018/03/31?\", \"blackberries, bananas, mangos, apples\"], [\"what drinks did I buy from the grocery store on 2018/03/31?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2018/03/31?\", \"paper towel, toilet paper, mouth wash, conditioner\"], [\"who was with me at the grocery store on 2018/03/31?\", \"Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12604\", \"logical_representation\": [\"2018/03/31\", \"running\"], \"text_template_based\": \"I did running on 2018/03/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/31?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12605\", \"logical_representation\": [\"2018/03/31\", \"lunch\", \"sandwich\", \"Avery, Hazel, Lydia, Kinsley, Claire, Piper, Rylee, Olivia, Nevaeh, Layla, Nora, Eva\"], \"text_template_based\": \"I had lunch with Avery, Hazel, Lydia, Kinsley, Claire, Piper, Rylee, Olivia, Nevaeh, Layla, Nora, Eva. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/03/31?\", \"Avery, Hazel, Lydia, Kinsley, Claire, Piper, Rylee, Olivia, Nevaeh, Layla, Nora, Eva\"], [\"what did I eat for lunch on 2018/03/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12606\", \"logical_representation\": [\"2018/03/31\", \"dinner\", \"steak\", \"Jackson, Avery\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/03/31\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2018/04/05\": {\"hobbies\": {\"eid\": \"e12199\", \"logical_representation\": [\"2018/04/05\", \"I spent time working out on 2018/04/05 with Lydia, Piper.\", \"working out\", \"Lydia, Piper\"], \"text_template_based\": \"I spent time working out on 2018/04/05 with Lydia, Piper.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Lydia, Piper?\", \"2018/04/05\"], [\"On 2018/04/05, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2018/04/05?\", \"Lydia, Piper\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e12201\", \"logical_representation\": [\"2018/04/05\", \"I went grocery shopping with Willow, Avery, Jackson. I bought some nectarines, blueberries, pears, cherres, sports drinks, and body lotion\", \"nectarines, blueberries, pears, cherres\", \"sports drinks\", \"body lotion\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I went grocery shopping with Willow, Avery, Jackson. I bought some nectarines, blueberries, pears, cherres, sports drinks, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/04/05?\", \"nectarines, blueberries, pears, cherres, sports drinks, and body lotion\"], [\"what fruits did I buy from the grocery store on 2018/04/05?\", \"nectarines, blueberries, pears, cherres\"], [\"what drinks did I buy from the grocery store on 2018/04/05?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2018/04/05?\", \"body lotion\"], [\"who was with me at the grocery store on 2018/04/05?\", \"Willow, Avery, Jackson\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12624\", \"logical_representation\": [\"2018/04/05\", \"biking\"], \"text_template_based\": \"I did biking on 2018/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/05?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12625\", \"logical_representation\": [\"2018/04/05\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/04/05?\", \"28 minutes\"], [\"what did I read on 2018/04/05?\", \"social media\"], [\"Did I read on 2018/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/02\": {\"grocery\": {\"eid\": \"e12200\", \"logical_representation\": [\"2018/04/02\", \"I bought some mangos, mineral water, chocolate milk, tea, milk, body lotion, toilet paper, facial wash, toothpaste online.\", \"mangos\", \"mineral water, chocolate milk, tea, milk\", \"body lotion, toilet paper, facial wash, toothpaste\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I bought some mangos, mineral water, chocolate milk, tea, milk, body lotion, toilet paper, facial wash, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/04/02?\", \"mangos, mineral water, chocolate milk, tea, milk, and body lotion, toilet paper, facial wash, toothpaste\"], [\"what fruits did I buy online on 2018/04/02?\", \"mangos\"], [\"what drinks did I buy online on 2018/04/02?\", \"mineral water, chocolate milk, tea, milk\"], [\"what toiletries did I buy online on 2018/04/02?\", \"body lotion, toilet paper, facial wash, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12610\", \"logical_representation\": [\"2018/04/02\", \"running\"], \"text_template_based\": \"I did running on 2018/04/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12611\", \"logical_representation\": [\"2018/04/02\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Piper, Claire, Nora, Layla, Piper, Olivia, Kinsley, Rylee, Hazel, Eva\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12612\", \"logical_representation\": [\"2018/04/02\", \"dinner\", \"sushi\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12613\", \"logical_representation\": [\"2018/04/02\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/04/02?\", \"32 minutes\"], [\"what did I read on 2018/04/02?\", \"a book\"], [\"Did I read on 2018/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12614\", \"logical_representation\": [\"2018/04/02\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/02?\", \"33 minutes\"], [\"what did I watch on tv on 2018/04/02?\", \"a documentary\"], [\"Did I watch tv on 2018/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/12\": {\"grocery\": {\"eid\": \"e12202\", \"logical_representation\": [\"2018/04/12\", \"I went grocery shopping. I bought some mandarins, mango juice, tea, and body lotion\", \"mandarins\", \"mango juice, tea\", \"body lotion\", \"Lydia, Kinsley, Rylee, Avery, Layla, Piper, Olivia, Nevaeh, Piper, Claire, Eva, Nora\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, mango juice, tea, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/04/12?\", \"mandarins, mango juice, tea, and body lotion\"], [\"what fruits did I buy from the grocery store on 2018/04/12?\", \"mandarins\"], [\"what drinks did I buy from the grocery store on 2018/04/12?\", \"mango juice, tea\"], [\"what toiletries did I buy from the grocery store on 2018/04/12?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12640\", \"logical_representation\": [\"2018/04/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/04/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12641\", \"logical_representation\": [\"2018/04/12\", \"breakfast\", \"peanut-butter-jam\", \"Claire, Nevaeh, Hazel, Olivia, Nora\"], \"text_template_based\": \"I had breakfast with Claire, Nevaeh, Hazel, Olivia, Nora. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/04/12?\", \"Claire, Nevaeh, Hazel, Olivia, Nora\"], [\"what did I eat for breakfast on 2018/04/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12642\", \"logical_representation\": [\"2018/04/12\", \"lunch\", \"pasta\", \"Rylee, Olivia, Eva, Nevaeh, Layla, Piper, Lydia, Avery, Hazel, Kinsley, Claire\"], \"text_template_based\": \"I had pasta for lunch with Rylee, Olivia, Eva, Nevaeh, Layla, Piper, Lydia, Avery, Hazel, Kinsley, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/04/12?\", \"Rylee, Olivia, Eva, Nevaeh, Layla, Piper, Lydia, Avery, Hazel, Kinsley, Claire\"], [\"what did I eat for lunch on 2018/04/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12643\", \"logical_representation\": [\"2018/04/12\", \"dinner\", \"steak\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12644\", \"logical_representation\": [\"2018/04/12\", \"Eva, Piper\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Eva, Piper for 42 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper late in the evening on 2018/04/12?\", \"42 minutes\"], [\"who did I talk to on 2018/04/12?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2018/04/12?\", \"yes\"], [\"Did I talk to anyone on 2018/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12645\", \"logical_representation\": [\"2018/04/12\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/04/12?\", \"17 minutes\"], [\"what did I read on 2018/04/12?\", \"news\"], [\"Did I read on 2018/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12646\", \"logical_representation\": [\"2018/04/12\", \"a documentary\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/12?\", \"14 minutes\"], [\"what did I watch on tv on 2018/04/12?\", \"a documentary\"], [\"Did I watch tv on 2018/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/26\": {\"hobbies\": {\"eid\": \"e12203\", \"logical_representation\": [\"2018/04/26\", \"I spent time meditation on 2018/04/26 with Kayden, Carter, Emily.\", \"meditation\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I spent time meditation on 2018/04/26 with Kayden, Carter, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Kayden, Carter, Emily?\", \"2018/04/26\"], [\"On 2018/04/26, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2018/04/26?\", \"Kayden, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12697\", \"logical_representation\": [\"2018/04/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/04/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12698\", \"logical_representation\": [\"2018/04/26\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/04/26?\", \"Andrew\"], [\"what did I eat for breakfast on 2018/04/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12699\", \"logical_representation\": [\"2018/04/26\", \"dinner\", \"pasta\", \"Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12700\", \"logical_representation\": [\"2018/04/26\", \"Claire, Piper, Piper, Nora\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Piper, Nora for 28 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Piper, Nora during lunch hours on 2018/04/26?\", \"28 minutes\"], [\"who did I talk to on 2018/04/26?\", \"Claire, Piper, Piper, Nora\"], [\"Did I talk to Claire, Piper, Piper, Nora on 2018/04/26?\", \"yes\"], [\"Did I talk to anyone on 2018/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12701\", \"logical_representation\": [\"2018/04/26\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/04/26?\", \"47 minutes\"], [\"what did I read on 2018/04/26?\", \"a book\"], [\"Did I read on 2018/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/10\": {\"dating\": {\"eid\": \"e12205\", \"logical_representation\": [\"2018/05/10\", \"Willow\", \"a park\"], \"text_template_based\": \"On 2018/05/10, I took Willow on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/05/10\", \"Willow\"], [\"where did I go for the date on 2018/05/10\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e12206\", \"logical_representation\": [\"2018/05/10\", \"I went grocery shopping. I bought some clementines, watermelons, coffee, soda, milk, and toilet paper, shaving cream, mouth wash, shampoo\", \"clementines, watermelons\", \"coffee, soda, milk\", \"toilet paper, shaving cream, mouth wash, shampoo\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some clementines, watermelons, coffee, soda, milk, and toilet paper, shaving cream, mouth wash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/05/10?\", \"clementines, watermelons, coffee, soda, milk, and toilet paper, shaving cream, mouth wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2018/05/10?\", \"clementines, watermelons\"], [\"what drinks did I buy from the grocery store on 2018/05/10?\", \"coffee, soda, milk\"], [\"what toiletries did I buy from the grocery store on 2018/05/10?\", \"toilet paper, shaving cream, mouth wash, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12758\", \"logical_representation\": [\"2018/05/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/05/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12759\", \"logical_representation\": [\"2018/05/10\", \"Piper, Eva\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I talked to Piper, Eva for 5 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva in the morning on 2018/05/10?\", \"5 minutes\"], [\"who did I talk to on 2018/05/10?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2018/05/10?\", \"yes\"], [\"Did I talk to anyone on 2018/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12760\", \"logical_representation\": [\"2018/05/10\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/05/10?\", \"17 minutes\"], [\"what did I read on 2018/05/10?\", \"news\"], [\"Did I read on 2018/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12761\", \"logical_representation\": [\"2018/05/10\", \"a documentary\", \"12 minutes\"], \"text_template_based\": \"I watched a documentary for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/10?\", \"12 minutes\"], [\"what did I watch on tv on 2018/05/10?\", \"a documentary\"], [\"Did I watch tv on 2018/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/20\": {\"bake\": {\"eid\": \"e12207\", \"logical_representation\": [\"2018/05/20\", \"I entertained Nevaeh, Nora, Rylee, Olivia at my place on 2018/05/20 and bake homemade toaster pastries, cinnamon sheet cake with cider frosting, easy chocolate marshmallow cups\", \"bake\", \"homemade toaster pastries, cinnamon sheet cake with cider frosting, easy chocolate marshmallow cups\", \"Nevaeh, Nora, Rylee, Olivia\", \"my place\"], \"text_template_based\": \"I entertained Nevaeh, Nora, Rylee, Olivia at my place on 2018/05/20 and bake homemade toaster pastries, cinnamon sheet cake with cider frosting, easy chocolate marshmallow cups\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake homemade toaster pastries, cinnamon sheet cake with cider frosting, easy chocolate marshmallow cups with Nevaeh, Nora, Rylee, Olivia?\", \"2018/05/20\"], [\"what did I bake on 2018/05/20?\", \"homemade toaster pastries, cinnamon sheet cake with cider frosting, easy chocolate marshmallow cups\"], [\"who was I with when I  homemade toaster pastries, cinnamon sheet cake with cider frosting, easy chocolate marshmallow cups on 2018/05/20?\", \"Nevaeh, Nora, Rylee, Olivia\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12794\", \"logical_representation\": [\"2018/05/20\", \"Claire\", \"in the early evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Claire for 31 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2018/05/20?\", \"31 minutes\"], [\"who did I talk to on 2018/05/20?\", \"Claire\"], [\"Did I talk to Claire on 2018/05/20?\", \"yes\"], [\"Did I talk to anyone on 2018/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12795\", \"logical_representation\": [\"2018/05/20\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/05/20?\", \"19 minutes\"], [\"what did I read on 2018/05/20?\", \"a book\"], [\"Did I read on 2018/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/16\": {\"dating\": {\"eid\": \"e12208\", \"logical_representation\": [\"2018/05/16\", \"Piper\", \"a restaurant\"], \"text_template_based\": \"On 2018/05/16, I took Piper on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/05/16\", \"Piper\"], [\"where did I go for the date on 2018/05/16\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e12209\", \"logical_representation\": [\"2018/05/16\", \"I spent time yoga on 2018/05/16 with Nora.\", \"yoga\", \"Nora\"], \"text_template_based\": \"I spent time yoga on 2018/05/16 with Nora.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Nora?\", \"2018/05/16\"], [\"On 2018/05/16, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2018/05/16?\", \"Nora\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12782\", \"logical_representation\": [\"2018/05/16\", \"dinner\", \"a burger\", \"Willow\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12783\", \"logical_representation\": [\"2018/05/16\", \"Layla, Hazel, Olivia, Rylee\", \"in the 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Eva on 2018/05/16?\", \"yes\"], [\"Did I talk to anyone on 2018/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12785\", \"logical_representation\": [\"2018/05/16\", \"news\", \"18 minutes\"], \"text_template_based\": \"I watched news for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/16?\", \"18 minutes\"], [\"what did I watch on tv on 2018/05/16?\", \"news\"], [\"Did I watch tv on 2018/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/27\": {\"grocery\": {\"eid\": \"e12210\", \"logical_representation\": [\"2018/05/27\", \"I bought some cherres, apple juice, milk, sports drinks, toothbrush online.\", \"cherres\", \"apple juice, milk, sports drinks\", \"toothbrush\", \"Kayden\"], \"text_template_based\": \"I bought some cherres, apple juice, milk, sports drinks, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/05/27?\", \"cherres, apple juice, milk, sports drinks, and toothbrush\"], [\"what fruits did I buy online on 2018/05/27?\", \"cherres\"], [\"what drinks did I buy online on 2018/05/27?\", \"apple juice, milk, sports drinks\"], [\"what toiletries did I buy online on 2018/05/27?\", \"toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12817\", \"logical_representation\": [\"2018/05/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/05/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12818\", \"logical_representation\": [\"2018/05/27\", \"lunch\", \"steak\", \"Avery, Layla, Claire, Eva, Piper, Nevaeh, Olivia, Lydia, Nora, Rylee\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/05/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12819\", \"logical_representation\": [\"2018/05/27\", \"Nevaeh, Piper, Lydia, Piper\", \"in the morning\", \"53 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Lydia, Piper for 53 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Lydia, Piper in the morning on 2018/05/27?\", \"53 minutes\"], [\"who did I talk to on 2018/05/27?\", \"Nevaeh, Piper, Lydia, Piper\"], [\"Did I talk to Nevaeh, Piper, Lydia, Piper on 2018/05/27?\", \"yes\"], [\"Did I talk to anyone on 2018/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12820\", \"logical_representation\": [\"2018/05/27\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/27?\", \"51 minutes\"], [\"what did I watch on tv on 2018/05/27?\", \"a documentary\"], [\"Did I watch tv on 2018/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/03\": {\"dating\": {\"eid\": \"e12211\", \"logical_representation\": [\"2018/06/03\", \"Lily\", \"a coffee Shop\"], \"text_template_based\": \"On 2018/06/03, I took Lily on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/06/03\", \"Lily\"], [\"where did I go for the date on 2018/06/03\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12840\", \"logical_representation\": [\"2018/06/03\", \"running\"], \"text_template_based\": \"I did running on 2018/06/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12841\", \"logical_representation\": [\"2018/06/03\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/06/03?\", \"Andrew\"], [\"what did I eat for breakfast on 2018/06/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12842\", \"logical_representation\": [\"2018/06/03\", \"lunch\", \"tacos\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/06/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12843\", \"logical_representation\": [\"2018/06/03\", \"dinner\", \"indian food\", \"Kayden, Andrew\"], \"text_template_based\": \"I had indian food for dinner with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/06/03?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2018/06/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12844\", \"logical_representation\": [\"2018/06/03\", \"a movie\", \"31 minutes\"], \"text_template_based\": \"I watched a movie for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/03?\", \"31 minutes\"], [\"what did I watch on tv on 2018/06/03?\", \"a movie\"], [\"Did I watch tv on 2018/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/30\": {\"grocery\": {\"eid\": \"e12212\", \"logical_representation\": [\"2018/05/30\", \"I bought some cherres, apples, pineapple juice, paper towel, shaving cream from the grocery store. I saw Andrew at the grocery store.\", \"cherres, apples\", \"pineapple juice\", \"paper towel, shaving cream\", \"Andrew\"], \"text_template_based\": \"I bought some cherres, apples, pineapple juice, paper towel, shaving cream from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/05/30?\", \"cherres, apples, pineapple juice, and paper towel, shaving cream\"], [\"what fruits did I buy from the grocery store on 2018/05/30?\", \"cherres, apples\"], [\"what drinks did I buy from the grocery store on 2018/05/30?\", \"pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2018/05/30?\", \"paper towel, shaving cream\"], [\"who did I see at the grocery store on 2018/05/30?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12826\", \"logical_representation\": [\"2018/05/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/05/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12827\", \"logical_representation\": [\"2018/05/30\", \"breakfast\", \"pancakes\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12828\", \"logical_representation\": [\"2018/05/30\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/05/30?\", \"24 minutes\"], [\"what did I read on 2018/05/30?\", \"news\"], [\"Did I read on 2018/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12829\", \"logical_representation\": [\"2018/05/30\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/30?\", \"19 minutes\"], [\"what did I watch on tv on 2018/05/30?\", \"a movie\"], [\"Did I watch tv on 2018/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/01\": {\"grocery\": {\"eid\": \"e12213\", \"logical_representation\": [\"2018/06/01\", \"I went grocery shopping. I bought some pineapples, pineapple juice, guava juice, soda, orange juice, and shaving cream, paper towel\", \"pineapples\", \"pineapple juice, guava juice, soda, orange juice\", \"shaving cream, paper towel\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some pineapples, pineapple juice, guava juice, soda, orange juice, and shaving cream, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/06/01?\", \"pineapples, pineapple juice, guava juice, soda, orange juice, and shaving cream, paper towel\"], [\"what fruits did I buy from the grocery store on 2018/06/01?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2018/06/01?\", \"pineapple juice, guava juice, soda, orange juice\"], [\"what toiletries did I buy from the grocery store on 2018/06/01?\", \"shaving cream, paper towel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12833\", \"logical_representation\": [\"2018/06/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/06/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12834\", \"logical_representation\": [\"2018/06/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Hazel, Piper\"], \"text_template_based\": \"I had breakfast with Claire, Hazel, Piper. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/06/01?\", \"Claire, Hazel, Piper\"], [\"what did I eat for breakfast on 2018/06/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12835\", \"logical_representation\": [\"2018/06/01\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/06/01?\", \"40 minutes\"], [\"what did I read on 2018/06/01?\", \"news\"], [\"Did I read on 2018/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/08\": {\"dating\": {\"eid\": \"e12214\", \"logical_representation\": [\"2018/06/08\", \"Leah\", \"a restaurant\"], \"text_template_based\": \"On 2018/06/08, I took Leah on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/06/08\", \"Leah\"], [\"where did I go for the date on 2018/06/08\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12860\", \"logical_representation\": [\"2018/06/08\", \"breakfast\", \"toast and cheese\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/06/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12861\", \"logical_representation\": [\"2018/06/08\", \"dinner\", \"a burger\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/06/08?\", \"Carter\"], [\"what did I eat for dinner on 2018/06/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12862\", \"logical_representation\": [\"2018/06/08\", \"Nevaeh, Hazel, Avery, Nora\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Nevaeh, Hazel, Avery, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Avery, Nora in the morning on 2018/06/08?\", \"20 minutes\"], [\"who did I talk to on 2018/06/08?\", \"Nevaeh, Hazel, Avery, Nora\"], [\"Did I talk to Nevaeh, Hazel, Avery, Nora on 2018/06/08?\", \"yes\"], [\"Did I talk to anyone on 2018/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12863\", \"logical_representation\": [\"2018/06/08\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/06/08?\", \"51 minutes\"], [\"what did I read on 2018/06/08?\", \"news\"], [\"Did I read on 2018/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/10\": {\"hobbies\": {\"eid\": \"e12215\", \"logical_representation\": [\"2018/06/10\", \"I spent some time working out on 2018/06/10.\", \"working out\", \"Piper, Hazel, Avery\"], \"text_template_based\": \"I spent some time working out on 2018/06/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2018/06/10\"], [\"On 2018/06/10, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e12217\", \"logical_representation\": [\"2018/06/10\", \"I went grocery shopping. I bought some strawberries, watermelons, bananas, coffee, mineral water, milk, chocolate milk, and shampoo, mouth wash, shaving cream, toothbrush\", \"strawberries, watermelons, bananas\", \"coffee, mineral water, milk, chocolate milk\", \"shampoo, mouth wash, shaving cream, toothbrush\", \"Hazel, Rylee, Eva, Olivia, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some strawberries, watermelons, bananas, coffee, mineral water, milk, chocolate milk, and shampoo, mouth wash, shaving cream, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/06/10?\", \"strawberries, watermelons, bananas, coffee, mineral water, milk, chocolate milk, and shampoo, mouth wash, shaving cream, toothbrush\"], [\"what fruits did I buy from the grocery store on 2018/06/10?\", \"strawberries, watermelons, bananas\"], [\"what drinks did I buy from the grocery store on 2018/06/10?\", \"coffee, mineral water, milk, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2018/06/10?\", \"shampoo, mouth wash, shaving cream, toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12870\", \"logical_representation\": [\"2018/06/10\", \"running\"], \"text_template_based\": \"I did running on 2018/06/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/10?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12871\", \"logical_representation\": [\"2018/06/10\", \"lunch\", \"sandwich\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/06/10?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2018/06/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12872\", \"logical_representation\": [\"2018/06/10\", \"dinner\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/06/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12873\", \"logical_representation\": [\"2018/06/10\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/10?\", \"39 minutes\"], [\"what did I watch on tv on 2018/06/10?\", \"a documentary\"], [\"Did I watch tv on 2018/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/04\": {\"grocery\": {\"eid\": \"e12216\", \"logical_representation\": [\"2018/06/04\", \"I bought some oranges, apples, apricots, blackberries, apple juice, orange juice, paper towel from the grocery store. I saw Avery, Willow, Benjamin, Jackson at the grocery store.\", \"oranges, apples, apricots, blackberries\", \"apple juice, orange juice\", \"paper towel\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I bought some oranges, apples, apricots, blackberries, apple juice, orange juice, paper towel from the grocery store. I saw Avery, Willow, Benjamin, Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/06/04?\", \"oranges, apples, apricots, blackberries, apple juice, orange juice, and paper towel\"], [\"what fruits did I buy from the grocery store on 2018/06/04?\", \"oranges, apples, apricots, blackberries\"], [\"what drinks did I buy from the grocery store on 2018/06/04?\", \"apple juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2018/06/04?\", \"paper towel\"], [\"who did I see at the grocery store on 2018/06/04?\", \"Avery, Willow, Benjamin, Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12845\", \"logical_representation\": [\"2018/06/04\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/06/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12846\", \"logical_representation\": [\"2018/06/04\", \"dinner\", \"pasta\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had pasta for dinner with Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/06/04?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for dinner on 2018/06/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12847\", \"logical_representation\": [\"2018/06/04\", \"Olivia\", \"in the morning\", \"12 minutes\"], \"text_template_based\": \"I talked to Olivia for 12 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the morning on 2018/06/04?\", \"12 minutes\"], [\"who did I talk to on 2018/06/04?\", \"Olivia\"], [\"Did I talk to Olivia on 2018/06/04?\", \"yes\"], [\"Did I talk to anyone on 2018/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12848\", \"logical_representation\": [\"2018/06/04\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/04?\", \"50 minutes\"], [\"what did I watch on tv on 2018/06/04?\", \"news\"], [\"Did I watch tv on 2018/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/14\": {\"dating\": {\"eid\": \"e12218\", \"logical_representation\": [\"2018/06/14\", \"Jaxon\", \"a coffee Shop\"], \"text_template_based\": \"On 2018/06/14, I took Jaxon on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/06/14\", \"Jaxon\"], [\"where did I go for the date on 2018/06/14\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12884\", \"logical_representation\": [\"2018/06/14\", \"biking\"], \"text_template_based\": \"I did biking on 2018/06/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12885\", \"logical_representation\": [\"2018/06/14\", \"lunch\", \"steak\", \"Kinsley, Olivia, Layla, Eva, Hazel, Nevaeh, Rylee\"], \"text_template_based\": \"I had lunch with Kinsley, Olivia, Layla, Eva, Hazel, Nevaeh, Rylee. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/06/14?\", \"Kinsley, Olivia, Layla, Eva, Hazel, Nevaeh, Rylee\"], [\"what did I eat for lunch on 2018/06/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12886\", \"logical_representation\": [\"2018/06/14\", \"dinner\", \"a burger\", \"Eva\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/06/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12887\", \"logical_representation\": [\"2018/06/14\", \"Avery, Claire, Lydia\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Avery, Claire, Lydia for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire, Lydia in the morning on 2018/06/14?\", \"30 minutes\"], [\"who did I talk to on 2018/06/14?\", \"Avery, Claire, Lydia\"], [\"Did I talk to Avery, Claire, Lydia on 2018/06/14?\", \"yes\"], [\"Did I talk to anyone on 2018/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/16\": {\"grocery\": {\"eid\": \"e12219\", \"logical_representation\": [\"2018/06/16\", \"I went grocery shopping. I bought some mandarins, mangos, apricots, bananas, soda, apple juice, and paper towel, mouthwash, toothpaste\", \"mandarins, mangos, apricots, bananas\", \"soda, apple juice\", \"paper towel, mouthwash, toothpaste\", \"Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, mangos, apricots, bananas, soda, apple juice, and paper towel, mouthwash, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/06/16?\", \"mandarins, mangos, apricots, bananas, soda, apple juice, and paper towel, mouthwash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2018/06/16?\", \"mandarins, mangos, apricots, bananas\"], [\"what drinks did I buy from the grocery store on 2018/06/16?\", \"soda, apple juice\"], [\"what toiletries did I buy from the grocery store on 2018/06/16?\", \"paper towel, mouthwash, toothpaste\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12892\", \"logical_representation\": [\"2018/06/16\", \"lunch\", \"pasta\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/06/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12893\", \"logical_representation\": [\"2018/06/16\", \"dinner\", \"fish and chips\", \"Piper, Eva, Hazel, Claire\"], \"text_template_based\": \"I had dinner with Piper, Eva, Hazel, Claire. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/06/16?\", \"Piper, Eva, Hazel, Claire\"], [\"what did I eat for dinner on 2018/06/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2018/06/20\": {\"grocery\": {\"eid\": \"e12220\", \"logical_representation\": [\"2018/06/20\", \"I bought some strawberries, sports drinks, shaving cream online.\", \"strawberries\", \"sports drinks\", \"shaving cream\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I bought some strawberries, sports drinks, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/06/20?\", \"strawberries, sports drinks, and shaving cream\"], [\"what fruits did I buy online on 2018/06/20?\", \"strawberries\"], [\"what drinks did I buy online on 2018/06/20?\", \"sports drinks\"], [\"what toiletries did I buy online on 2018/06/20?\", \"shaving cream\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12908\", \"logical_representation\": [\"2018/06/20\", \"breakfast\", \"oatmeal\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/06/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12909\", \"logical_representation\": [\"2018/06/20\", \"lunch\", \"sandwich\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/06/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12910\", \"logical_representation\": [\"2018/06/20\", \"dinner\", \"sushi\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/06/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12911\", \"logical_representation\": [\"2018/06/20\", \"a documentary\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/20?\", \"38 minutes\"], [\"what did I watch on tv on 2018/06/20?\", \"a documentary\"], [\"Did I watch tv on 2018/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/23\": {\"grocery\": {\"eid\": \"e12221\", \"logical_representation\": [\"2018/06/23\", \"I bought some raspberries, pears, oranges, clementines, orange juice, toilet paper, shaving cream, mouthwash from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\", \"raspberries, pears, oranges, clementines\", \"orange juice\", \"toilet paper, shaving cream, mouthwash\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I bought some raspberries, pears, oranges, clementines, orange juice, toilet paper, shaving cream, mouthwash from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/06/23?\", \"raspberries, pears, oranges, clementines, orange juice, and toilet paper, shaving cream, mouthwash\"], [\"what fruits did I buy from the grocery store on 2018/06/23?\", \"raspberries, pears, oranges, clementines\"], [\"what drinks did I buy from the grocery store on 2018/06/23?\", \"orange juice\"], [\"what toiletries did I buy from the grocery store on 2018/06/23?\", \"toilet paper, shaving cream, mouthwash\"], [\"who did I see at the grocery store on 2018/06/23?\", \"Andrew, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12922\", \"logical_representation\": [\"2018/06/23\", \"biking\"], \"text_template_based\": \"I did biking on 2018/06/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/23?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12923\", \"logical_representation\": [\"2018/06/23\", \"lunch\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/06/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12924\", \"logical_representation\": [\"2018/06/23\", \"dinner\", \"sushi\", \"Andrew, Kayden\"], \"text_template_based\": \"I had sushi for dinner with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/06/23?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2018/06/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12925\", \"logical_representation\": [\"2018/06/23\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/06/23?\", \"44 minutes\"], [\"what did I read on 2018/06/23?\", \"news\"], [\"Did I read on 2018/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12926\", \"logical_representation\": [\"2018/06/23\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I watched a movie for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/23?\", \"18 minutes\"], [\"what did I watch on tv on 2018/06/23?\", \"a movie\"], [\"Did I watch tv on 2018/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/01\": {\"dating\": {\"eid\": \"e12222\", \"logical_representation\": [\"2018/07/01\", \"Josephine\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Josephine on 2018/07/01 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/07/01\", \"Josephine\"], [\"where did I go for the date on 2018/07/01\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12949\", \"logical_representation\": [\"2018/07/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/07/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12950\", \"logical_representation\": [\"2018/07/01\", \"breakfast\", \"oatmeal\", \"Kinsley, Layla, Hazel, Avery, Lydia, Eva, Rylee, Piper, Claire, Olivia\"], \"text_template_based\": \"I had oatmeal for breakfast with Kinsley, Layla, Hazel, Avery, Lydia, Eva, Rylee, Piper, Claire, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/07/01?\", \"Kinsley, Layla, Hazel, Avery, Lydia, Eva, Rylee, Piper, Claire, Olivia\"], [\"what did I eat for breakfast on 2018/07/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12951\", \"logical_representation\": [\"2018/07/01\", \"lunch\", \"indian food\", \"Lydia, Rylee, Nevaeh\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/07/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12952\", \"logical_representation\": [\"2018/07/01\", \"Eva, Hazel, Piper\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel, Piper for 39 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Piper in the morning on 2018/07/01?\", \"39 minutes\"], [\"who did I talk to on 2018/07/01?\", \"Eva, Hazel, Piper\"], [\"Did I talk to Eva, Hazel, Piper on 2018/07/01?\", \"yes\"], [\"Did I talk to anyone on 2018/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12953\", \"logical_representation\": [\"2018/07/01\", \"Piper, Lydia, Claire\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Piper, Lydia, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Claire late in the evening on 2018/07/01?\", \"26 minutes\"], [\"who did I talk to on 2018/07/01?\", \"Piper, Lydia, Claire\"], [\"Did I talk to Piper, Lydia, Claire on 2018/07/01?\", \"yes\"], [\"Did I talk to anyone on 2018/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12954\", \"logical_representation\": [\"2018/07/01\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/07/01?\", \"26 minutes\"], [\"what did I read on 2018/07/01?\", \"news\"], [\"Did I read on 2018/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/25\": {\"hobbies\": {\"eid\": \"e12223\", \"logical_representation\": [\"2018/06/25\", \"I spent some time gardening on 2018/06/25.\", \"gardening\", \"Carter\"], \"text_template_based\": \"I spent some time gardening on 2018/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2018/06/25\"], [\"On 2018/06/25, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12931\", \"logical_representation\": [\"2018/06/25\", \"dinner\", \"pasta\", \"Kinsley, Nevaeh, Claire, Hazel, Nora\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/06/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12932\", \"logical_representation\": [\"2018/06/25\", \"Hazel\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Hazel for 18 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2018/06/25?\", \"18 minutes\"], [\"who did I talk to on 2018/06/25?\", \"Hazel\"], [\"Did I talk to Hazel on 2018/06/25?\", \"yes\"], [\"Did I talk to anyone on 2018/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12933\", \"logical_representation\": [\"2018/06/25\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/06/25?\", \"46 minutes\"], [\"what did I read on 2018/06/25?\", \"news\"], [\"Did I read on 2018/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12934\", \"logical_representation\": [\"2018/06/25\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/25?\", \"28 minutes\"], [\"what did I watch on tv on 2018/06/25?\", \"a tv series\"], [\"Did I watch tv on 2018/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/26\": {\"grocery\": {\"eid\": \"e12224\", \"logical_representation\": [\"2018/06/26\", \"I bought some oranges, guava, apricots, guava juice, mineral water, paper towel, body lotion online.\", \"oranges, guava, apricots\", \"guava juice, mineral water\", \"paper towel, body lotion\", \"Nevaeh, Hazel, Kinsley, Piper\"], \"text_template_based\": \"I bought some oranges, guava, apricots, guava juice, mineral water, paper towel, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/06/26?\", \"oranges, guava, apricots, guava juice, mineral water, and paper towel, body lotion\"], [\"what fruits did I buy online on 2018/06/26?\", \"oranges, guava, apricots\"], [\"what drinks did I buy online on 2018/06/26?\", \"guava juice, mineral water\"], [\"what toiletries did I buy online on 2018/06/26?\", \"paper towel, body lotion\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12935\", \"logical_representation\": [\"2018/06/26\", \"dinner\", \"tacos\", \"Kayden, Emily\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/06/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12936\", \"logical_representation\": [\"2018/06/26\", \"Piper, Nevaeh, Rylee, Eva\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Piper, Nevaeh, Rylee, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Rylee, Eva in the early afternoon on 2018/06/26?\", \"23 minutes\"], [\"who did I talk to on 2018/06/26?\", \"Piper, Nevaeh, Rylee, Eva\"], [\"Did I talk to Piper, Nevaeh, Rylee, Eva on 2018/06/26?\", \"yes\"], [\"Did I talk to anyone on 2018/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12937\", \"logical_representation\": [\"2018/06/26\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/26?\", \"39 minutes\"], [\"what did I watch on tv on 2018/06/26?\", \"a tv series\"], [\"Did I watch tv on 2018/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/07\": {\"grocery\": {\"eid\": \"e12225\", \"logical_representation\": [\"2018/07/07\", \"I went grocery shopping with Emily. I bought some pineapples, raspberries, strawberries, soda, apple juice, milk, and toothbrush\", \"pineapples, raspberries, strawberries\", \"soda, apple juice, milk\", \"toothbrush\", \"Emily\"], \"text_template_based\": \"I went grocery shopping with Emily. I bought some pineapples, raspberries, strawberries, soda, apple juice, milk, and toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/07/07?\", \"pineapples, raspberries, strawberries, soda, apple juice, milk, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2018/07/07?\", \"pineapples, raspberries, strawberries\"], [\"what drinks did I buy from the grocery store on 2018/07/07?\", \"soda, apple juice, milk\"], [\"what toiletries did I buy from the grocery store on 2018/07/07?\", \"toothbrush\"], [\"who was with me at the grocery store on 2018/07/07?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12971\", \"logical_representation\": [\"2018/07/07\", \"running\"], \"text_template_based\": \"I did running on 2018/07/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/07?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12972\", \"logical_representation\": [\"2018/07/07\", \"breakfast\", \"toast and cheese\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12973\", \"logical_representation\": [\"2018/07/07\", \"Kinsley, Claire\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire for 10 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire in the late afternoon on 2018/07/07?\", \"10 minutes\"], [\"who did I talk to on 2018/07/07?\", \"Kinsley, Claire\"], [\"Did I talk to Kinsley, Claire on 2018/07/07?\", \"yes\"], [\"Did I talk to anyone on 2018/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/09\": {\"cook\": {\"eid\": \"e12226\", \"logical_representation\": [\"2018/07/09\", \"I entertained Nevaeh, Nora, Avery at my place on 2018/07/09 and cook beef and broccoli\", \"cook\", \"beef and broccoli\", \"Nevaeh, Nora, Avery\", \"my place\"], \"text_template_based\": \"I entertained Nevaeh, Nora, Avery at my place on 2018/07/09 and cook beef and broccoli\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook beef and broccoli with Nevaeh, Nora, Avery?\", \"2018/07/09\"], [\"what did I cook on 2018/07/09?\", \"beef and broccoli\"], [\"who was I with when I  beef and broccoli on 2018/07/09?\", \"Nevaeh, Nora, Avery\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e12227\", \"logical_representation\": [\"2018/07/09\", \"Luke\", \"a coffee Shop\"], \"text_template_based\": \"On 2018/07/09, I took Luke on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/07/09\", \"Luke\"], [\"where did I go for the date on 2018/07/09\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12978\", \"logical_representation\": [\"2018/07/09\", \"dinner\", \"sushi\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/07/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12979\", \"logical_representation\": [\"2018/07/09\", \"Kinsley, Eva, Layla\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva, Layla for 47 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Layla in the early afternoon on 2018/07/09?\", \"47 minutes\"], [\"who did I talk to on 2018/07/09?\", \"Kinsley, Eva, Layla\"], [\"Did I talk to Kinsley, Eva, Layla on 2018/07/09?\", \"yes\"], [\"Did I talk to anyone on 2018/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12980\", \"logical_representation\": [\"2018/07/09\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/09?\", \"21 minutes\"], [\"what did I watch on tv on 2018/07/09?\", \"a tv series\"], [\"Did I watch tv on 2018/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/14\": {\"dating\": {\"eid\": \"e12228\", \"logical_representation\": [\"2018/07/14\", \"Isaiah\", \"a park\"], \"text_template_based\": \"On 2018/07/14, I took Isaiah on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/07/14\", \"Isaiah\"], [\"where did I go for the date on 2018/07/14\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e12996\", \"logical_representation\": [\"2018/07/14\", \"running\"], \"text_template_based\": \"I did running on 2018/07/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12997\", \"logical_representation\": [\"2018/07/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I had breakfast with Avery, Willow, Jackson. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/07/14?\", \"Avery, Willow, Jackson\"], [\"what did I eat for breakfast on 2018/07/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12998\", \"logical_representation\": [\"2018/07/14\", \"dinner\", \"a burger\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I had a burger for dinner with Benjamin, Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/07/14?\", \"Benjamin, Avery, Jackson, Willow\"], [\"what did I eat for dinner on 2018/07/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12999\", \"logical_representation\": [\"2018/07/14\", \"Piper\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Piper for 29 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2018/07/14?\", \"29 minutes\"], [\"who did I talk to on 2018/07/14?\", \"Piper\"], [\"Did I talk to Piper on 2018/07/14?\", \"yes\"], [\"Did I talk to anyone on 2018/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13000\", \"logical_representation\": [\"2018/07/14\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I watched a movie for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/14?\", \"48 minutes\"], [\"what did I watch on tv on 2018/07/14?\", \"a movie\"], [\"Did I watch tv on 2018/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/10\": {\"hobbies\": {\"eid\": \"e12229\", \"logical_representation\": [\"2018/07/10\", \"I spent time working out on 2018/07/10 with Emily, Kayden, Carter.\", \"working out\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I spent time working out on 2018/07/10 with Emily, Kayden, Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Emily, Kayden, Carter?\", \"2018/07/10\"], [\"On 2018/07/10, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2018/07/10?\", \"Emily, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12981\", \"logical_representation\": [\"2018/07/10\", \"lunch\", \"tacos\", \"Jackson\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/07/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12982\", \"logical_representation\": [\"2018/07/10\", \"Eva, Kinsley, Rylee, Claire\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley, Rylee, Claire for 26 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Rylee, Claire in the early afternoon on 2018/07/10?\", \"26 minutes\"], [\"who did I talk to on 2018/07/10?\", \"Eva, Kinsley, Rylee, Claire\"], [\"Did I talk to Eva, Kinsley, Rylee, Claire on 2018/07/10?\", \"yes\"], [\"Did I talk to anyone on 2018/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12983\", \"logical_representation\": [\"2018/07/10\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/07/10?\", \"26 minutes\"], [\"what did I read on 2018/07/10?\", \"news\"], [\"Did I read on 2018/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/17\": {\"grocery\": {\"eid\": \"e12230\", \"logical_representation\": [\"2018/07/17\", \"I went grocery shopping with Kayden, Andrew, Carter. I bought some strawberries, mandarins, pineapples, guava, soda, orange juice, guava juice, coffee, and shampoo, conditioner\", \"strawberries, mandarins, pineapples, guava\", \"soda, orange juice, guava juice, coffee\", \"shampoo, conditioner\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping with Kayden, Andrew, Carter. I bought some strawberries, mandarins, pineapples, guava, soda, orange juice, guava juice, coffee, and shampoo, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/07/17?\", \"strawberries, mandarins, pineapples, guava, soda, orange juice, guava juice, coffee, and shampoo, conditioner\"], [\"what fruits did I buy from the grocery store on 2018/07/17?\", \"strawberries, mandarins, pineapples, guava\"], [\"what drinks did I buy from the grocery store on 2018/07/17?\", \"soda, orange juice, guava juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2018/07/17?\", \"shampoo, conditioner\"], [\"who was with me at the grocery store on 2018/07/17?\", \"Kayden, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13005\", \"logical_representation\": [\"2018/07/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/07/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13006\", \"logical_representation\": [\"2018/07/17\", \"lunch\", \"sushi\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had lunch with Benjamin, Jackson, Willow, Avery. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/07/17?\", \"Benjamin, Jackson, Willow, Avery\"], [\"what did I eat for lunch on 2018/07/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13007\", \"logical_representation\": [\"2018/07/17\", \"dinner\", \"sandwich\", \"Lydia, Olivia, Claire, Layla, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/07/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13008\", \"logical_representation\": [\"2018/07/17\", \"Hazel, Nora, Claire\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Hazel, Nora, Claire for 34 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Claire in the late afternoon on 2018/07/17?\", \"34 minutes\"], [\"who did I talk to on 2018/07/17?\", \"Hazel, Nora, Claire\"], [\"Did I talk to Hazel, Nora, Claire on 2018/07/17?\", \"yes\"], [\"Did I talk to anyone on 2018/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13009\", \"logical_representation\": [\"2018/07/17\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/07/17?\", \"36 minutes\"], [\"what did I read on 2018/07/17?\", \"social media\"], [\"Did I read on 2018/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/19\": {\"grocery\": {\"eid\": \"e12231\", \"logical_representation\": [\"2018/07/19\", \"I bought some oranges, watermelons, apricots, soda, orange juice, sports drinks, toothpaste, mouthwash from the grocery store. I saw Layla, Piper, Lydia, Nora, Rylee, Olivia at the grocery store.\", \"oranges, watermelons, apricots\", \"soda, orange juice, sports drinks\", \"toothpaste, mouthwash\", \"Layla, Piper, Lydia, Nora, Rylee, Olivia\"], \"text_template_based\": \"I bought some oranges, watermelons, apricots, soda, orange juice, sports drinks, toothpaste, mouthwash from the grocery store. I saw Layla, Piper, Lydia, Nora, Rylee, Olivia at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/07/19?\", \"oranges, watermelons, apricots, soda, orange juice, sports drinks, and toothpaste, mouthwash\"], [\"what fruits did I buy from the grocery store on 2018/07/19?\", \"oranges, watermelons, apricots\"], [\"what drinks did I buy from the grocery store on 2018/07/19?\", \"soda, orange juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2018/07/19?\", \"toothpaste, mouthwash\"], [\"who did I see at the grocery store on 2018/07/19?\", \"Layla, Piper, Lydia, Nora, Rylee, Olivia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13015\", \"logical_representation\": [\"2018/07/19\", \"biking\"], \"text_template_based\": \"I did biking on 2018/07/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13016\", \"logical_representation\": [\"2018/07/19\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13017\", \"logical_representation\": [\"2018/07/19\", \"lunch\", \"fish and chips\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/07/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13018\", \"logical_representation\": [\"2018/07/19\", \"dinner\", \"fish and chips\", \"Jackson\"], \"text_template_based\": \"I had dinner with Jackson. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/07/19?\", \"Jackson\"], [\"what did I eat for dinner on 2018/07/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13019\", \"logical_representation\": [\"2018/07/19\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/19?\", \"23 minutes\"], [\"what did I watch on tv on 2018/07/19?\", \"news\"], [\"Did I watch tv on 2018/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/25\": {\"grocery\": {\"eid\": \"e12232\", \"logical_representation\": [\"2018/07/25\", \"I bought some pears, apples, pineapples, guava juice, body lotion online.\", \"pears, apples, pineapples\", \"guava juice\", \"body lotion\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I bought some pears, apples, pineapples, guava juice, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/07/25?\", \"pears, apples, pineapples, guava juice, and body lotion\"], [\"what fruits did I buy online on 2018/07/25?\", \"pears, apples, pineapples\"], [\"what drinks did I buy online on 2018/07/25?\", \"guava juice\"], [\"what toiletries did I buy online on 2018/07/25?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13040\", \"logical_representation\": [\"2018/07/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/07/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13041\", \"logical_representation\": [\"2018/07/25\", \"breakfast\", \"cereals\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had cereals for breakfast with Carter, Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/07/25?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2018/07/25\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13042\", \"logical_representation\": [\"2018/07/25\", \"Lydia, Piper\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Lydia, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper in the early afternoon on 2018/07/25?\", \"7 minutes\"], [\"who did I talk to on 2018/07/25?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2018/07/25?\", \"yes\"], [\"Did I talk to anyone on 2018/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13043\", \"logical_representation\": [\"2018/07/25\", \"Rylee, Layla, Piper\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Rylee, Layla, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla, Piper in the morning on 2018/07/25?\", \"37 minutes\"], [\"who did I talk to on 2018/07/25?\", \"Rylee, Layla, Piper\"], [\"Did I talk to Rylee, Layla, Piper on 2018/07/25?\", \"yes\"], [\"Did I talk to anyone on 2018/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13044\", \"logical_representation\": [\"2018/07/25\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/07/25?\", \"42 minutes\"], [\"what did I read on 2018/07/25?\", \"news\"], [\"Did I read on 2018/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/26\": {\"grocery\": {\"eid\": \"e12233\", \"logical_representation\": [\"2018/07/26\", \"I went grocery shopping. I bought some strawberries, apples, orange juice, apple juice, and mouthwash, facial wash, toothpaste, shaving cream\", \"strawberries, apples\", \"orange juice, apple juice\", \"mouthwash, facial wash, toothpaste, shaving cream\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some strawberries, apples, orange juice, apple juice, and mouthwash, facial wash, toothpaste, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/07/26?\", \"strawberries, apples, orange juice, apple juice, and mouthwash, facial wash, toothpaste, shaving cream\"], [\"what fruits did I buy from the grocery store on 2018/07/26?\", \"strawberries, apples\"], [\"what drinks did I buy from the grocery store on 2018/07/26?\", \"orange juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2018/07/26?\", \"mouthwash, facial wash, toothpaste, shaving cream\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13045\", \"logical_representation\": [\"2018/07/26\", \"biking\"], \"text_template_based\": \"I did biking on 2018/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13046\", \"logical_representation\": [\"2018/07/26\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13047\", \"logical_representation\": [\"2018/07/26\", \"Nevaeh, Piper, Olivia, Lydia\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Nevaeh, Piper, Olivia, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Olivia, Lydia in the early afternoon on 2018/07/26?\", \"53 minutes\"], [\"who did I talk to on 2018/07/26?\", \"Nevaeh, Piper, Olivia, Lydia\"], [\"Did I talk to Nevaeh, Piper, Olivia, Lydia on 2018/07/26?\", \"yes\"], [\"Did I talk to anyone on 2018/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/12\": {\"hobbies\": {\"eid\": \"e12234\", \"logical_representation\": [\"2018/08/12\", \"I spent some time learning a language on 2018/08/12.\", \"learning a language\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I spent some time learning a language on 2018/08/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2018/08/12\"], [\"On 2018/08/12, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13118\", \"logical_representation\": [\"2018/08/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/08/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/08/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13119\", \"logical_representation\": [\"2018/08/12\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/08/12?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2018/08/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13120\", \"logical_representation\": [\"2018/08/12\", \"lunch\", \"a burger\", \"Piper, Nevaeh, Kinsley, Piper, Hazel, Nora, Rylee, Avery, Layla, Olivia, Claire, Lydia\"], \"text_template_based\": \"I had lunch with Piper, Nevaeh, Kinsley, Piper, Hazel, Nora, Rylee, Avery, Layla, Olivia, Claire, Lydia. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/08/12?\", \"Piper, Nevaeh, Kinsley, Piper, Hazel, Nora, Rylee, Avery, Layla, Olivia, Claire, Lydia\"], [\"what did I eat for lunch on 2018/08/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13121\", \"logical_representation\": [\"2018/08/12\", \"dinner\", \"a burger\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/12\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2018/08/07\": {\"grocery\": {\"eid\": \"e12235\", \"logical_representation\": [\"2018/08/07\", \"I went grocery shopping with Nora, Layla, Avery, Lydia, Eva, Olivia, Nevaeh, Rylee, Piper, Claire, Piper, Hazel, Kinsley. I bought some pears, bananas, guava, cherres, tea, soda, and shampoo\", \"pears, bananas, guava, cherres\", \"tea, soda\", \"shampoo\", \"Nora, Layla, Avery, Lydia, Eva, Olivia, Nevaeh, Rylee, Piper, Claire, Piper, Hazel, Kinsley\"], \"text_template_based\": \"I went grocery shopping with Nora, Layla, Avery, Lydia, Eva, Olivia, Nevaeh, Rylee, Piper, Claire, Piper, Hazel, Kinsley. I bought some pears, bananas, guava, cherres, tea, soda, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/08/07?\", \"pears, bananas, guava, cherres, tea, soda, and shampoo\"], [\"what fruits did I buy from the grocery store on 2018/08/07?\", \"pears, bananas, guava, cherres\"], [\"what drinks did I buy from the grocery store on 2018/08/07?\", \"tea, soda\"], [\"what toiletries did I buy from the grocery store on 2018/08/07?\", \"shampoo\"], [\"who was with me at the grocery store on 2018/08/07?\", \"Nora, Layla, Avery, Lydia, Eva, Olivia, Nevaeh, Rylee, Piper, Claire, Piper, Hazel, Kinsley\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13103\", \"logical_representation\": [\"2018/08/07\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/08/07?\", \"42 minutes\"], [\"what did I read on 2018/08/07?\", \"social media\"], [\"Did I read on 2018/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/15\": {\"hobbies\": {\"eid\": \"e12236\", \"logical_representation\": [\"2018/08/15\", \"I really enjoyed yoga on 2018/08/15\", \"yoga\", \"Jackson\"], \"text_template_based\": \"I really enjoyed yoga on 2018/08/15\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2018/08/15\"], [\"On 2018/08/15, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e12238\", \"logical_representation\": [\"2018/08/15\", \"I went grocery shopping. I bought some peaches, guava, pineapples, apple juice, orange juice, coffee, and mouth wash, facial wash\", \"peaches, guava, pineapples\", \"apple juice, orange juice, coffee\", \"mouth wash, facial wash\", \"Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, guava, pineapples, apple juice, orange juice, coffee, and mouth wash, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/08/15?\", \"peaches, guava, pineapples, apple juice, orange juice, coffee, and mouth wash, facial wash\"], [\"what fruits did I buy from the grocery store on 2018/08/15?\", \"peaches, guava, pineapples\"], [\"what drinks did I buy from the grocery store on 2018/08/15?\", \"apple juice, orange juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2018/08/15?\", \"mouth wash, facial wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13129\", \"logical_representation\": [\"2018/08/15\", \"breakfast\", \"oatmeal\", \"Olivia, Piper, Piper, Eva, Rylee, Avery, Lydia, Hazel, Nora, Kinsley, Claire\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/08/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13130\", \"logical_representation\": [\"2018/08/15\", \"dinner\", \"sandwich\", \"Nora, Piper, Claire, Lydia, Olivia, Hazel, Nevaeh, Eva, Avery\"], \"text_template_based\": \"I had sandwich for dinner with Nora, Piper, Claire, Lydia, Olivia, Hazel, Nevaeh, Eva, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/08/15?\", \"Nora, Piper, Claire, Lydia, Olivia, Hazel, Nevaeh, Eva, Avery\"], [\"what did I eat for dinner on 2018/08/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2018/08/19\": {\"hobbies\": {\"eid\": \"e12237\", \"logical_representation\": [\"2018/08/19\", \"I really enjoyed gardening on 2018/08/19\", \"gardening\", \"Claire, Nora, Avery\"], \"text_template_based\": \"I really enjoyed gardening on 2018/08/19\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2018/08/19\"], [\"On 2018/08/19, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e12239\", \"logical_representation\": [\"2018/08/19\", \"I bought some bananas, pineapples, guava, apples, apple juice, chocolate milk, conditioner online.\", \"bananas, pineapples, guava, apples\", \"apple juice, chocolate milk\", \"conditioner\", \"Andrew\"], \"text_template_based\": \"I bought some bananas, pineapples, guava, apples, apple juice, chocolate milk, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/08/19?\", \"bananas, pineapples, guava, apples, apple juice, chocolate milk, and conditioner\"], [\"what fruits did I buy online on 2018/08/19?\", \"bananas, pineapples, guava, apples\"], [\"what drinks did I buy online on 2018/08/19?\", \"apple juice, chocolate milk\"], [\"what toiletries did I buy online on 2018/08/19?\", \"conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13141\", \"logical_representation\": [\"2018/08/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/08/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2018/08/22\": {\"grocery\": {\"eid\": \"e12240\", \"logical_representation\": [\"2018/08/22\", \"I went grocery shopping with Kinsley, Lydia, Claire, Avery, Layla, Nevaeh, Hazel, Olivia. I bought some oranges, pineapple juice, tea, and paper towel, facial wash, shampoo, shaving cream\", \"oranges\", \"pineapple juice, tea\", \"paper towel, facial wash, shampoo, shaving cream\", \"Kinsley, Lydia, Claire, Avery, Layla, Nevaeh, Hazel, Olivia\"], \"text_template_based\": \"I went grocery shopping with Kinsley, Lydia, Claire, Avery, Layla, Nevaeh, Hazel, Olivia. I bought some oranges, pineapple juice, tea, and paper towel, facial wash, shampoo, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/08/22?\", \"oranges, pineapple juice, tea, and paper towel, facial wash, shampoo, shaving cream\"], [\"what fruits did I buy from the grocery store on 2018/08/22?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2018/08/22?\", \"pineapple juice, tea\"], [\"what toiletries did I buy from the grocery store on 2018/08/22?\", \"paper towel, facial wash, shampoo, shaving cream\"], [\"who was with me at the grocery store on 2018/08/22?\", \"Kinsley, Lydia, Claire, Avery, Layla, Nevaeh, Hazel, Olivia\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13148\", \"logical_representation\": [\"2018/08/22\", \"breakfast\", \"cereals\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden, Carter. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/08/22?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2018/08/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13149\", \"logical_representation\": [\"2018/08/22\", \"lunch\", \"chinese food\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/08/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13150\", \"logical_representation\": [\"2018/08/22\", \"dinner\", \"fish and chips\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/08/22?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for dinner on 2018/08/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13151\", \"logical_representation\": [\"2018/08/22\", \"Eva, Rylee, Avery, Lydia\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Eva, Rylee, Avery, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Avery, Lydia late in the evening on 2018/08/22?\", \"29 minutes\"], [\"who did I talk to on 2018/08/22?\", \"Eva, Rylee, Avery, Lydia\"], [\"Did I talk to Eva, Rylee, Avery, Lydia on 2018/08/22?\", \"yes\"], [\"Did I talk to anyone on 2018/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13152\", \"logical_representation\": [\"2018/08/22\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/08/22?\", \"11 minutes\"], [\"what did I read on 2018/08/22?\", \"news\"], [\"Did I read on 2018/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13153\", \"logical_representation\": [\"2018/08/22\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I watched a movie for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/22?\", \"50 minutes\"], [\"what did I watch on tv on 2018/08/22?\", \"a movie\"], [\"Did I watch tv on 2018/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/23\": {\"grocery\": {\"eid\": \"e12241\", \"logical_representation\": [\"2018/08/23\", \"I bought some strawberries, mandarins, apples, oranges, soda, sports drinks, milk, pineapple juice, shampoo, facial wash online.\", \"strawberries, mandarins, apples, oranges\", \"soda, sports drinks, milk, pineapple juice\", \"shampoo, facial wash\", \"Carter\"], \"text_template_based\": \"I bought some strawberries, mandarins, apples, oranges, soda, sports drinks, milk, pineapple juice, shampoo, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/08/23?\", \"strawberries, mandarins, apples, oranges, soda, sports drinks, milk, pineapple juice, and shampoo, facial wash\"], [\"what fruits did I buy online on 2018/08/23?\", \"strawberries, mandarins, apples, oranges\"], [\"what drinks did I buy online on 2018/08/23?\", \"soda, sports drinks, milk, pineapple juice\"], [\"what toiletries did I buy online on 2018/08/23?\", \"shampoo, facial wash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13154\", \"logical_representation\": [\"2018/08/23\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/08/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13155\", \"logical_representation\": [\"2018/08/23\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13156\", \"logical_representation\": [\"2018/08/23\", \"Lydia\", \"late in the evening\", \"44 minutes\"], \"text_template_based\": \"I talked to Lydia for 44 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2018/08/23?\", \"44 minutes\"], [\"who did I talk to on 2018/08/23?\", \"Lydia\"], [\"Did I talk to Lydia on 2018/08/23?\", \"yes\"], [\"Did I talk to anyone on 2018/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/31\": {\"dating\": {\"eid\": \"e12242\", \"logical_representation\": [\"2018/08/31\", \"Chloe\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Chloe on 2018/08/31 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/08/31\", \"Chloe\"], [\"where did I go for the date on 2018/08/31\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13181\", \"logical_representation\": [\"2018/08/31\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/08/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/08/31?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13182\", \"logical_representation\": [\"2018/08/31\", \"Eva\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Eva for 54 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2018/08/31?\", \"54 minutes\"], [\"who did I talk to on 2018/08/31?\", \"Eva\"], [\"Did I talk to Eva on 2018/08/31?\", \"yes\"], [\"Did I talk to anyone on 2018/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13183\", \"logical_representation\": [\"2018/08/31\", \"Hazel\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Hazel for 18 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2018/08/31?\", \"18 minutes\"], [\"who did I talk to on 2018/08/31?\", \"Hazel\"], [\"Did I talk to Hazel on 2018/08/31?\", \"yes\"], [\"Did I talk to anyone on 2018/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13184\", \"logical_representation\": [\"2018/08/31\", \"a movie\", \"20 minutes\"], \"text_template_based\": \"I watched a movie for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/31?\", \"20 minutes\"], [\"what did I watch on tv on 2018/08/31?\", \"a movie\"], [\"Did I watch tv on 2018/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/27\": {\"grocery\": {\"eid\": \"e12243\", \"logical_representation\": [\"2018/08/27\", \"I went grocery shopping with Hazel, Nevaeh, Rylee, Layla. I bought some oranges, strawberries, raspberries, sports drinks, soda, tea, and facial wash\", \"oranges, strawberries, raspberries\", \"sports drinks, soda, tea\", \"facial wash\", \"Hazel, Nevaeh, Rylee, Layla\"], \"text_template_based\": \"I went grocery shopping with Hazel, Nevaeh, Rylee, Layla. I bought some oranges, strawberries, raspberries, sports drinks, soda, tea, and facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/08/27?\", \"oranges, strawberries, raspberries, sports drinks, soda, tea, and facial wash\"], [\"what fruits did I buy from the grocery store on 2018/08/27?\", \"oranges, strawberries, raspberries\"], [\"what drinks did I buy from the grocery store on 2018/08/27?\", \"sports drinks, soda, tea\"], [\"what toiletries did I buy from the grocery store on 2018/08/27?\", \"facial wash\"], [\"who was with me at the grocery store on 2018/08/27?\", \"Hazel, Nevaeh, Rylee, Layla\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13170\", \"logical_representation\": [\"2018/08/27\", \"breakfast\", \"cereals\", \"Hazel, Piper, Lydia, Claire, Nora, Piper\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/08/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13171\", \"logical_representation\": [\"2018/08/27\", \"dinner\", \"chinese food\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I had dinner. 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I bought some mangos, mandarins, oranges, blueberries, mineral water, and facial wash, conditioner, mouth wash\", \"mangos, mandarins, oranges, blueberries\", \"mineral water\", \"facial wash, conditioner, mouth wash\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, mandarins, oranges, blueberries, mineral water, and facial wash, conditioner, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/09/09?\", \"mangos, mandarins, oranges, blueberries, mineral water, and facial wash, conditioner, mouth wash\"], [\"what fruits did I buy from the grocery store on 2018/09/09?\", \"mangos, mandarins, oranges, blueberries\"], [\"what drinks did I buy from the grocery store on 2018/09/09?\", \"mineral water\"], [\"what toiletries did I buy from the grocery store on 2018/09/09?\", \"facial wash, conditioner, mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13213\", \"logical_representation\": [\"2018/09/09\", \"biking\"], \"text_template_based\": \"I did biking on 2018/09/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13214\", \"logical_representation\": [\"2018/09/09\", \"dinner\", \"indian food\", \"Layla\"], \"text_template_based\": \"I had dinner with Layla. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/09/09?\", \"Layla\"], [\"what did I eat for dinner on 2018/09/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13215\", \"logical_representation\": [\"2018/09/09\", \"Rylee, Kinsley, Piper, Eva\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Rylee, Kinsley, Piper, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Piper, Eva in the morning on 2018/09/09?\", \"31 minutes\"], [\"who did I talk to on 2018/09/09?\", \"Rylee, Kinsley, Piper, Eva\"], [\"Did I talk to Rylee, Kinsley, Piper, Eva on 2018/09/09?\", \"yes\"], [\"Did I talk to anyone on 2018/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13216\", \"logical_representation\": [\"2018/09/09\", \"Olivia, Layla, Hazel, Nora\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Olivia, Layla, Hazel, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Hazel, Nora during lunch hours on 2018/09/09?\", \"28 minutes\"], [\"who did I talk to on 2018/09/09?\", \"Olivia, Layla, Hazel, Nora\"], [\"Did I talk to Olivia, Layla, Hazel, Nora on 2018/09/09?\", \"yes\"], [\"Did I talk to anyone on 2018/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13217\", \"logical_representation\": [\"2018/09/09\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I watched a tv series for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/09?\", \"49 minutes\"], [\"what did I watch on tv on 2018/09/09?\", \"a tv series\"], [\"Did I watch tv on 2018/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/13\": {\"dating\": {\"eid\": \"e12247\", \"logical_representation\": [\"2018/09/13\", \"Luna\", \"a park\"], \"text_template_based\": \"On 2018/09/13, I took Luna on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/09/13\", \"Luna\"], [\"where did I go for the date on 2018/09/13\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13227\", \"logical_representation\": [\"2018/09/13\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/09/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13228\", \"logical_representation\": [\"2018/09/13\", \"lunch\", \"steak\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Kayden, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/09/13?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2018/09/13\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2018/09/14\": {\"grocery\": {\"eid\": \"e12248\", \"logical_representation\": [\"2018/09/14\", \"I went grocery shopping. I bought some peaches, blueberries, raspberries, orange juice, and toilet paper, shaving cream, mouth wash\", \"peaches, blueberries, raspberries\", \"orange juice\", \"toilet paper, shaving cream, mouth wash\", \"Layla, Kinsley, Avery, Olivia, Claire, Rylee, Piper, Nora, Lydia\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, blueberries, raspberries, orange juice, and toilet paper, shaving cream, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/09/14?\", \"peaches, blueberries, raspberries, orange juice, and toilet paper, shaving cream, mouth wash\"], [\"what fruits did I buy from the grocery store on 2018/09/14?\", \"peaches, blueberries, raspberries\"], [\"what drinks did I buy from the grocery store on 2018/09/14?\", \"orange juice\"], [\"what toiletries did I buy from the grocery store on 2018/09/14?\", \"toilet paper, shaving cream, mouth wash\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13229\", \"logical_representation\": [\"2018/09/14\", \"dinner\", \"chinese food\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/09/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13230\", \"logical_representation\": [\"2018/09/14\", \"Nora\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2018/09/14?\", \"52 minutes\"], [\"who did I talk to on 2018/09/14?\", \"Nora\"], [\"Did I talk to Nora on 2018/09/14?\", \"yes\"], [\"Did I talk to anyone on 2018/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13231\", \"logical_representation\": [\"2018/09/14\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/09/14?\", \"44 minutes\"], [\"what did I read on 2018/09/14?\", \"a book\"], [\"Did I read on 2018/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13232\", \"logical_representation\": [\"2018/09/14\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/14?\", \"22 minutes\"], [\"what did I watch on tv on 2018/09/14?\", \"a tv series\"], [\"Did I watch tv on 2018/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/20\": {\"dating\": {\"eid\": \"e12249\", \"logical_representation\": [\"2018/09/20\", \"Maya\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Maya on 2018/09/20 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/09/20\", \"Maya\"], [\"where did I go for the date on 2018/09/20\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13258\", \"logical_representation\": [\"2018/09/20\", \"lunch\", \"sandwich\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13259\", \"logical_representation\": [\"2018/09/20\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/09/20?\", \"34 minutes\"], [\"what did I read on 2018/09/20?\", \"news\"], [\"Did I read on 2018/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13260\", \"logical_representation\": [\"2018/09/20\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/20?\", \"22 minutes\"], [\"what did I watch on tv on 2018/09/20?\", \"a documentary\"], [\"Did I watch tv on 2018/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/17\": {\"hobbies\": {\"eid\": \"e12250\", \"logical_representation\": [\"2018/09/17\", \"I spent time yoga on 2018/09/17 with Carter.\", \"yoga\", \"Carter\"], \"text_template_based\": \"I spent time yoga on 2018/09/17 with Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Carter?\", \"2018/09/17\"], [\"On 2018/09/17, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2018/09/17?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13240\", \"logical_representation\": [\"2018/09/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/09/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13241\", \"logical_representation\": [\"2018/09/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/09/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13242\", \"logical_representation\": [\"2018/09/17\", \"lunch\", \"steak\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13243\", \"logical_representation\": [\"2018/09/17\", \"dinner\", \"tacos\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I had tacos for dinner with Willow, Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/09/17?\", \"Willow, Avery, Benjamin\"], [\"what did I eat for dinner on 2018/09/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13244\", \"logical_representation\": [\"2018/09/17\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/17?\", \"43 minutes\"], [\"what did I watch on tv on 2018/09/17?\", \"a movie\"], [\"Did I watch tv on 2018/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/23\": {\"grocery\": {\"eid\": \"e12251\", \"logical_representation\": [\"2018/09/23\", \"I bought some watermelons, pears, pineapples, chocolate milk, sports drinks, soda, apple juice, mouth wash, toothpaste from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\", \"watermelons, pears, pineapples\", \"chocolate milk, sports drinks, soda, apple juice\", \"mouth wash, toothpaste\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I bought some watermelons, pears, pineapples, chocolate milk, sports drinks, soda, apple juice, mouth wash, toothpaste from the grocery store. I saw Emily, Andrew, Kayden, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/09/23?\", \"watermelons, pears, pineapples, chocolate milk, sports drinks, soda, apple juice, and mouth wash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2018/09/23?\", \"watermelons, pears, pineapples\"], [\"what drinks did I buy from the grocery store on 2018/09/23?\", \"chocolate milk, sports drinks, soda, apple juice\"], [\"what toiletries did I buy from the grocery store on 2018/09/23?\", \"mouth wash, toothpaste\"], [\"who did I see at the grocery store on 2018/09/23?\", \"Emily, Andrew, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13270\", \"logical_representation\": [\"2018/09/23\", \"running\"], \"text_template_based\": \"I did running on 2018/09/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13271\", \"logical_representation\": [\"2018/09/23\", \"lunch\", \"indian food\", \"Kayden, Andrew\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13272\", \"logical_representation\": [\"2018/09/23\", \"Lydia, Eva, Rylee\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Lydia, Eva, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Rylee late in the evening on 2018/09/23?\", \"53 minutes\"], [\"who did I talk to on 2018/09/23?\", \"Lydia, Eva, Rylee\"], [\"Did I talk to Lydia, Eva, Rylee on 2018/09/23?\", \"yes\"], [\"Did I talk to anyone on 2018/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13273\", \"logical_representation\": [\"2018/09/23\", \"Rylee, Nevaeh, Eva, Lydia\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Rylee, Nevaeh, Eva, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Eva, Lydia late in the evening on 2018/09/23?\", \"41 minutes\"], [\"who did I talk to on 2018/09/23?\", \"Rylee, Nevaeh, Eva, Lydia\"], [\"Did I talk to Rylee, Nevaeh, Eva, Lydia on 2018/09/23?\", \"yes\"], [\"Did I talk to anyone on 2018/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13274\", \"logical_representation\": [\"2018/09/23\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/09/23?\", \"23 minutes\"], [\"what did I read on 2018/09/23?\", \"social media\"], 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topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Layla, Avery in the morning on 2018/09/29?\", \"49 minutes\"], [\"who did I talk to on 2018/09/29?\", \"Olivia, Piper, Layla, Avery\"], [\"Did I talk to Olivia, Piper, Layla, Avery on 2018/09/29?\", \"yes\"], [\"Did I talk to anyone on 2018/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13297\", \"logical_representation\": [\"2018/09/29\", \"a tv series\", \"52 minutes\"], \"text_template_based\": \"I watched a tv series for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/29?\", \"52 minutes\"], [\"what did I watch on tv on 2018/09/29?\", \"a tv series\"], [\"Did I watch tv on 2018/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/07\": {\"dating\": {\"eid\": \"e12253\", \"logical_representation\": [\"2018/10/07\", \"Elena\", \"a park\"], \"text_template_based\": \"I went on a date with Elena on 2018/10/07 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/10/07\", \"Elena\"], [\"where did I go for the date on 2018/10/07\", \"a park\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13323\", \"logical_representation\": [\"2018/10/07\", \"lunch\", \"tacos\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had tacos for lunch with Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/10/07?\", \"Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2018/10/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13324\", \"logical_representation\": [\"2018/10/07\", \"dinner\", \"a burger\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13325\", \"logical_representation\": [\"2018/10/07\", \"Rylee, Avery, Layla\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery, Layla for 24 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery, Layla in the early afternoon on 2018/10/07?\", \"24 minutes\"], [\"who did I talk to on 2018/10/07?\", \"Rylee, Avery, Layla\"], [\"Did I talk to Rylee, Avery, Layla on 2018/10/07?\", \"yes\"], [\"Did I talk to anyone on 2018/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13326\", \"logical_representation\": [\"2018/10/07\", \"Nevaeh, Piper, Piper\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Nevaeh, Piper, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Piper late in the evening on 2018/10/07?\", \"22 minutes\"], [\"who did I talk to on 2018/10/07?\", \"Nevaeh, Piper, Piper\"], [\"Did I talk to Nevaeh, Piper, Piper on 2018/10/07?\", \"yes\"], [\"Did I talk to anyone on 2018/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/02\": {\"grocery\": {\"eid\": \"e12254\", \"logical_representation\": [\"2018/10/02\", \"I went grocery shopping with Andrew. I bought some peaches, apple juice, pineapple juice, orange juice, and paper towel\", \"peaches\", \"apple juice, pineapple juice, orange juice\", \"paper towel\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping with Andrew. I bought some peaches, apple juice, pineapple juice, orange juice, and paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/10/02?\", \"peaches, apple juice, pineapple juice, orange juice, and paper towel\"], [\"what fruits did I buy from the grocery store on 2018/10/02?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2018/10/02?\", \"apple juice, pineapple juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2018/10/02?\", \"paper towel\"], [\"who was with me at the grocery store on 2018/10/02?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13310\", \"logical_representation\": [\"2018/10/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/10/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2018/10/05\": {\"grocery\": {\"eid\": \"e12255\", \"logical_representation\": [\"2018/10/05\", \"I bought some mangos, peaches, pineapples, bananas, tea, guava juice, body lotion, toothpaste, toothbrush, shaving cream from the grocery store. I saw Olivia at the grocery store.\", \"mangos, peaches, pineapples, bananas\", \"tea, guava juice\", \"body lotion, toothpaste, toothbrush, shaving cream\", \"Olivia\"], \"text_template_based\": \"I bought some mangos, peaches, pineapples, bananas, tea, guava juice, body lotion, toothpaste, toothbrush, shaving cream from the grocery store. I saw Olivia at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/10/05?\", \"mangos, peaches, pineapples, bananas, tea, guava juice, and body lotion, toothpaste, toothbrush, shaving cream\"], [\"what fruits did I buy from the grocery store on 2018/10/05?\", \"mangos, peaches, pineapples, bananas\"], [\"what drinks did I buy from the grocery store on 2018/10/05?\", \"tea, guava juice\"], [\"what toiletries did I buy from the grocery store on 2018/10/05?\", \"body lotion, toothpaste, toothbrush, shaving cream\"], [\"who did I see at the grocery store on 2018/10/05?\", \"Olivia\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13318\", \"logical_representation\": [\"2018/10/05\", \"breakfast\", \"oatmeal\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2018/10/10\": {\"dating\": {\"eid\": \"e12256\", \"logical_representation\": [\"2018/10/10\", \"Evelyn\", \"a coffee Shop\"], \"text_template_based\": \"On 2018/10/10, I took Evelyn on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/10/10\", \"Evelyn\"], [\"where did I go for the date on 2018/10/10\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e12258\", \"logical_representation\": [\"2018/10/10\", \"I spent some time learning a language on 2018/10/10.\", \"learning a language\", \"Emily, Carter\"], \"text_template_based\": \"I spent some time learning a language on 2018/10/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2018/10/10\"], [\"On 2018/10/10, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13335\", \"logical_representation\": [\"2018/10/10\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13336\", \"logical_representation\": [\"2018/10/10\", \"Claire\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2018/10/10?\", \"9 minutes\"], [\"who did I talk to on 2018/10/10?\", \"Claire\"], [\"Did I talk to Claire on 2018/10/10?\", \"yes\"], [\"Did I talk to anyone on 2018/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/14\": {\"dating\": {\"eid\": \"e12257\", \"logical_representation\": [\"2018/10/14\", \"Josiah\", \"a coffee Shop\"], \"text_template_based\": \"On 2018/10/14, I took Josiah on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/10/14\", \"Josiah\"], [\"where did I go for the date on 2018/10/14\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13349\", \"logical_representation\": [\"2018/10/14\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/10/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/14?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13350\", \"logical_representation\": [\"2018/10/14\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/14?\", \"7 minutes\"], [\"what did I watch on tv on 2018/10/14?\", \"news\"], [\"Did I watch tv on 2018/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/08\": {\"grocery\": {\"eid\": \"e12259\", \"logical_representation\": [\"2018/10/08\", \"I went grocery shopping. I bought some guava, apples, clementines, peaches, pineapple juice, and facial wash\", \"guava, apples, clementines, peaches\", \"pineapple juice\", \"facial wash\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some guava, apples, clementines, peaches, pineapple juice, and facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/10/08?\", \"guava, apples, clementines, peaches, pineapple juice, and facial wash\"], [\"what fruits did I buy from the grocery store on 2018/10/08?\", \"guava, apples, clementines, peaches\"], [\"what drinks did I buy from the grocery store on 2018/10/08?\", \"pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2018/10/08?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13327\", \"logical_representation\": [\"2018/10/08\", \"biking\"], \"text_template_based\": \"I did biking on 2018/10/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/08?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13328\", \"logical_representation\": [\"2018/10/08\", \"breakfast\", \"pancakes\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/08\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13329\", \"logical_representation\": [\"2018/10/08\", \"Rylee\", \"in the early afternoon\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2018/10/08?\", \"43 minutes\"], [\"who did I talk to on 2018/10/08?\", \"Rylee\"], [\"Did I talk to Rylee on 2018/10/08?\", \"yes\"], [\"Did I talk to anyone on 2018/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13330\", \"logical_representation\": [\"2018/10/08\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/08?\", \"37 minutes\"], [\"what did I watch on tv on 2018/10/08?\", \"news\"], [\"Did I watch tv on 2018/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/17\": {\"dating\": {\"eid\": \"e12260\", \"logical_representation\": [\"2018/10/17\", \"Mason\", \"a boba shop\"], \"text_template_based\": \"On 2018/10/17, I took Mason on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/10/17\", \"Mason\"], [\"where did I go for the date on 2018/10/17\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13359\", \"logical_representation\": [\"2018/10/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/10/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13360\", \"logical_representation\": [\"2018/10/17\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Emily, Andrew, Kayden. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/10/17?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for breakfast on 2018/10/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13361\", \"logical_representation\": [\"2018/10/17\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/10/17?\", \"19 minutes\"], [\"what did I read on 2018/10/17?\", \"a book\"], [\"Did I read on 2018/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13362\", \"logical_representation\": [\"2018/10/17\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I watched a documentary for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/17?\", \"33 minutes\"], [\"what did I watch on tv on 2018/10/17?\", \"a documentary\"], [\"Did I watch tv on 2018/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/15\": {\"hobbies\": {\"eid\": \"e12261\", \"logical_representation\": [\"2018/10/15\", \"I really enjoyed yoga on 2018/10/15\", \"yoga\", \"Jackson\"], \"text_template_based\": \"I really enjoyed yoga on 2018/10/15\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2018/10/15\"], [\"On 2018/10/15, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e12262\", \"logical_representation\": [\"2018/10/15\", \"I went grocery shopping with Nora, Avery. I bought some blackberries, clementines, mango juice, mineral water, and paper towel\", \"blackberries, clementines\", \"mango juice, mineral water\", \"paper towel\", \"Nora, Avery\"], \"text_template_based\": \"I went grocery shopping with Nora, Avery. I bought some blackberries, clementines, mango juice, mineral water, and paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/10/15?\", \"blackberries, clementines, mango juice, mineral water, and paper towel\"], [\"what fruits did I buy from the grocery store on 2018/10/15?\", \"blackberries, clementines\"], [\"what drinks did I buy from the grocery store on 2018/10/15?\", \"mango juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2018/10/15?\", \"paper towel\"], [\"who was with me at the grocery store on 2018/10/15?\", \"Nora, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13351\", \"logical_representation\": [\"2018/10/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13352\", \"logical_representation\": [\"2018/10/15\", \"lunch\", \"tacos\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/10/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13353\", \"logical_representation\": [\"2018/10/15\", \"Layla\", \"during lunch hours\", \"16 minutes\"], \"text_template_based\": \"I talked to Layla for 16 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla during lunch hours on 2018/10/15?\", \"16 minutes\"], [\"who did I talk to on 2018/10/15?\", \"Layla\"], [\"Did I talk to Layla on 2018/10/15?\", \"yes\"], [\"Did I talk to anyone on 2018/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13354\", \"logical_representation\": [\"2018/10/15\", \"a movie\", \"49 minutes\"], \"text_template_based\": \"I watched a movie for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/15?\", \"49 minutes\"], [\"what did I watch on tv on 2018/10/15?\", \"a movie\"], [\"Did I watch tv on 2018/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/20\": {\"grocery\": {\"eid\": \"e12263\", \"logical_representation\": [\"2018/10/20\", \"I went grocery shopping. I bought some apricots, nectarines, coffee, tea, pineapple juice, and toothpaste, mouth wash, toothbrush, toilet paper\", \"apricots, nectarines\", \"coffee, tea, pineapple juice\", \"toothpaste, mouth wash, toothbrush, toilet paper\", \"Layla, Nevaeh, Kinsley, Eva, Rylee, Piper, Piper, Hazel, Olivia, Lydia, Nora\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, nectarines, coffee, tea, pineapple juice, and toothpaste, mouth wash, toothbrush, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/10/20?\", \"apricots, nectarines, coffee, tea, pineapple juice, and toothpaste, mouth wash, toothbrush, toilet paper\"], [\"what fruits did I buy from the grocery store on 2018/10/20?\", \"apricots, nectarines\"], [\"what drinks did I buy from the grocery store on 2018/10/20?\", \"coffee, tea, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2018/10/20?\", \"toothpaste, mouth wash, toothbrush, toilet paper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13371\", \"logical_representation\": [\"2018/10/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13372\", \"logical_representation\": [\"2018/10/20\", \"Hazel\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Hazel for 39 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2018/10/20?\", \"39 minutes\"], [\"who did I talk to on 2018/10/20?\", \"Hazel\"], [\"Did I talk to Hazel on 2018/10/20?\", \"yes\"], [\"Did I talk to anyone on 2018/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13373\", \"logical_representation\": [\"2018/10/20\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/10/20?\", \"15 minutes\"], [\"what did I read on 2018/10/20?\", \"a book\"], [\"Did I read on 2018/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/24\": {\"hobbies\": {\"eid\": \"e12264\", \"logical_representation\": [\"2018/10/24\", \"I really enjoyed learning a language on 2018/10/24\", \"learning a language\", \"Olivia, Claire, Rylee\"], \"text_template_based\": \"I really enjoyed learning a language on 2018/10/24\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2018/10/24\"], [\"On 2018/10/24, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13387\", \"logical_representation\": [\"2018/10/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13388\", \"logical_representation\": [\"2018/10/24\", \"Hazel, Avery, Nevaeh\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I talked to Hazel, Avery, Nevaeh for 11 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Nevaeh during lunch hours on 2018/10/24?\", \"11 minutes\"], [\"who did I talk to on 2018/10/24?\", \"Hazel, Avery, Nevaeh\"], [\"Did I talk to Hazel, Avery, Nevaeh on 2018/10/24?\", \"yes\"], [\"Did I talk to anyone on 2018/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13389\", \"logical_representation\": [\"2018/10/24\", \"Hazel\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2018/10/24?\", \"44 minutes\"], [\"who did I talk to on 2018/10/24?\", \"Hazel\"], [\"Did I talk to Hazel on 2018/10/24?\", \"yes\"], [\"Did I talk to anyone on 2018/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13390\", \"logical_representation\": [\"2018/10/24\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I watched a movie for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/24?\", \"32 minutes\"], [\"what did I watch on tv on 2018/10/24?\", \"a movie\"], [\"Did I watch tv on 2018/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/03\": {\"hobbies\": {\"eid\": \"e12265\", \"logical_representation\": [\"2018/11/03\", \"I spent time learning a language on 2018/11/03 with Rylee, Claire, Nora.\", \"learning a language\", \"Rylee, Claire, Nora\"], \"text_template_based\": \"I spent time learning a language on 2018/11/03 with Rylee, Claire, Nora.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Rylee, Claire, Nora?\", \"2018/11/03\"], [\"On 2018/11/03, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2018/11/03?\", \"Rylee, Claire, Nora\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13409\", \"logical_representation\": [\"2018/11/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/11/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13410\", \"logical_representation\": [\"2018/11/03\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/11/03?\", \"Avery\"], [\"what did I eat for breakfast on 2018/11/03\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13411\", \"logical_representation\": [\"2018/11/03\", \"lunch\", \"fish and chips\", \"Avery, Kinsley, Layla, Claire, Lydia, Piper, Olivia, Hazel\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/11/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13412\", \"logical_representation\": [\"2018/11/03\", \"Nevaeh, Olivia, Rylee\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Rylee for 9 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Rylee late in the evening on 2018/11/03?\", \"9 minutes\"], [\"who did I talk to on 2018/11/03?\", \"Nevaeh, Olivia, Rylee\"], [\"Did I talk to Nevaeh, Olivia, Rylee on 2018/11/03?\", \"yes\"], [\"Did I talk to anyone on 2018/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13413\", \"logical_representation\": [\"2018/11/03\", \"a documentary\", \"8 minutes\"], \"text_template_based\": \"I watched a documentary for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/03?\", \"8 minutes\"], [\"what did I watch on tv on 2018/11/03?\", \"a documentary\"], [\"Did I watch tv on 2018/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/01\": {\"grocery\": {\"eid\": \"e12266\", \"logical_representation\": [\"2018/11/01\", \"I went grocery shopping. I bought some mangos, raspberries, blueberries, cherres, soda, coffee, sports drinks, milk, and toilet paper\", \"mangos, raspberries, blueberries, cherres\", \"soda, coffee, sports drinks, milk\", \"toilet paper\", \"Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, raspberries, blueberries, cherres, soda, coffee, sports drinks, milk, and toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/11/01?\", \"mangos, raspberries, blueberries, cherres, soda, coffee, sports drinks, milk, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2018/11/01?\", \"mangos, raspberries, blueberries, cherres\"], [\"what drinks did I buy from the grocery store on 2018/11/01?\", \"soda, coffee, sports drinks, milk\"], [\"what toiletries did I buy from the grocery store on 2018/11/01?\", \"toilet paper\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13405\", \"logical_representation\": [\"2018/11/01\", \"Nevaeh, Rylee, Nora, Olivia\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Nevaeh, Rylee, Nora, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Nora, Olivia in the morning on 2018/11/01?\", \"44 minutes\"], [\"who did I talk to on 2018/11/01?\", \"Nevaeh, Rylee, Nora, Olivia\"], [\"Did I talk to Nevaeh, Rylee, Nora, Olivia on 2018/11/01?\", \"yes\"], [\"Did I talk to anyone on 2018/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13406\", \"logical_representation\": [\"2018/11/01\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/01?\", \"12 minutes\"], [\"what did I watch on tv on 2018/11/01?\", \"news\"], [\"Did I watch tv on 2018/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/07\": {\"hobbies\": {\"eid\": \"e12267\", \"logical_representation\": [\"2018/11/07\", \"I really enjoyed yoga on 2018/11/07\", \"yoga\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I really enjoyed yoga on 2018/11/07\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2018/11/07\"], [\"On 2018/11/07, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13421\", \"logical_representation\": [\"2018/11/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/11/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13422\", \"logical_representation\": [\"2018/11/07\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/07\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13423\", \"logical_representation\": [\"2018/11/07\", \"lunch\", \"a burger\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/11/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13424\", \"logical_representation\": [\"2018/11/07\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/11/07?\", \"22 minutes\"], [\"what did I read on 2018/11/07?\", \"a book\"], [\"Did I read on 2018/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/10\": {\"hobbies\": {\"eid\": \"e12268\", \"logical_representation\": [\"2018/11/10\", \"I spent time working out on 2018/11/10 with Jackson, Benjamin, Avery.\", \"working out\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I spent time working out on 2018/11/10 with Jackson, Benjamin, Avery.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Jackson, Benjamin, Avery?\", \"2018/11/10\"], [\"On 2018/11/10, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2018/11/10?\", \"Jackson, Benjamin, Avery\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e12269\", \"logical_representation\": [\"2018/11/10\", \"I went grocery shopping with Hazel, Piper, Kinsley, Nora. I bought some raspberries, chocolate milk, orange juice, sports drinks, milk, and toothpaste, body lotion, toilet paper\", \"raspberries\", \"chocolate milk, orange juice, sports drinks, milk\", \"toothpaste, body lotion, toilet paper\", \"Hazel, Piper, Kinsley, Nora\"], \"text_template_based\": \"I went grocery shopping with Hazel, Piper, Kinsley, Nora. I bought some raspberries, chocolate milk, orange juice, sports drinks, milk, and toothpaste, body lotion, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/11/10?\", \"raspberries, chocolate milk, orange juice, sports drinks, milk, and toothpaste, body lotion, toilet paper\"], [\"what fruits did I buy from the grocery store on 2018/11/10?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2018/11/10?\", \"chocolate milk, orange juice, sports drinks, milk\"], [\"what toiletries did I buy from the grocery store on 2018/11/10?\", \"toothpaste, body lotion, toilet paper\"], [\"who was with me at the grocery store on 2018/11/10?\", \"Hazel, Piper, Kinsley, Nora\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13434\", \"logical_representation\": [\"2018/11/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/11/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13435\", \"logical_representation\": [\"2018/11/10\", \"lunch\", \"indian food\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/11/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13436\", \"logical_representation\": [\"2018/11/10\", \"a movie\", \"38 minutes\"], \"text_template_based\": \"I watched a movie for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/10?\", \"38 minutes\"], [\"what did I watch on tv on 2018/11/10?\", \"a movie\"], [\"Did I watch tv on 2018/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/17\": {\"hobbies\": {\"eid\": \"e12270\", \"logical_representation\": [\"2018/11/17\", \"I spent some time learning a language on 2018/11/17.\", \"learning a language\", \"Avery\"], \"text_template_based\": \"I spent some time learning a language on 2018/11/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2018/11/17\"], [\"On 2018/11/17, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13461\", \"logical_representation\": [\"2018/11/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Kinsley, Eva, Claire, Hazel, Avery, Rylee, Nora, Lydia, Nevaeh, Piper, Olivia, Layla\"], \"text_template_based\": \"I had breakfast with Piper, Kinsley, Eva, Claire, Hazel, Avery, Rylee, Nora, Lydia, Nevaeh, Piper, Olivia, Layla. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/11/17?\", \"Piper, Kinsley, Eva, Claire, Hazel, Avery, Rylee, Nora, Lydia, Nevaeh, Piper, Olivia, Layla\"], [\"what did I eat for breakfast on 2018/11/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13462\", \"logical_representation\": [\"2018/11/17\", \"lunch\", \"indian food\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/11/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13463\", \"logical_representation\": [\"2018/11/17\", \"dinner\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/11/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13464\", \"logical_representation\": [\"2018/11/17\", \"Avery, Lydia, Layla\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia, Layla for 48 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Layla in the morning on 2018/11/17?\", \"48 minutes\"], [\"who did I talk to on 2018/11/17?\", \"Avery, Lydia, Layla\"], [\"Did I talk to Avery, Lydia, Layla on 2018/11/17?\", \"yes\"], [\"Did I talk to anyone on 2018/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13465\", \"logical_representation\": [\"2018/11/17\", \"Piper, Nora\", \"in the early afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper, Nora for 43 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora in the early afternoon on 2018/11/17?\", \"43 minutes\"], [\"who did I talk to on 2018/11/17?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2018/11/17?\", \"yes\"], [\"Did I talk to anyone on 2018/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/16\": {\"grocery\": {\"eid\": \"e12271\", \"logical_representation\": [\"2018/11/16\", \"I bought some cherres, pineapples, chocolate milk, soda, milk, mouthwash from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\", \"cherres, pineapples\", \"chocolate milk, soda, milk\", \"mouthwash\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I bought some cherres, pineapples, chocolate milk, soda, milk, mouthwash from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/11/16?\", \"cherres, pineapples, chocolate milk, soda, milk, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2018/11/16?\", \"cherres, pineapples\"], [\"what drinks did I buy from the grocery store on 2018/11/16?\", \"chocolate milk, soda, milk\"], [\"what toiletries did I buy from the grocery store on 2018/11/16?\", \"mouthwash\"], [\"who did I see at the grocery store on 2018/11/16?\", \"Kayden, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13455\", \"logical_representation\": [\"2018/11/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/11/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13456\", \"logical_representation\": [\"2018/11/16\", \"breakfast\", \"pancakes\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13457\", \"logical_representation\": [\"2018/11/16\", \"lunch\", \"tacos\", \"Claire, Avery, Rylee, Lydia, Piper, Layla, Kinsley, Nora, Olivia, Eva, Piper, Hazel\"], \"text_template_based\": \"I had tacos for lunch with Claire, Avery, Rylee, Lydia, Piper, Layla, Kinsley, Nora, Olivia, Eva, Piper, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/11/16?\", \"Claire, Avery, Rylee, Lydia, Piper, Layla, Kinsley, Nora, Olivia, Eva, Piper, Hazel\"], [\"what did I eat for lunch on 2018/11/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13458\", \"logical_representation\": [\"2018/11/16\", \"Kinsley\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Kinsley for 10 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2018/11/16?\", \"10 minutes\"], [\"who did I talk to on 2018/11/16?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2018/11/16?\", \"yes\"], [\"Did I talk to anyone on 2018/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13459\", \"logical_representation\": [\"2018/11/16\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/11/16?\", \"29 minutes\"], [\"what did I read on 2018/11/16?\", \"a book\"], [\"Did I read on 2018/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13460\", \"logical_representation\": [\"2018/11/16\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/16?\", \"32 minutes\"], [\"what did I watch on tv on 2018/11/16?\", \"a movie\"], [\"Did I watch tv on 2018/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/25\": {\"cook\": {\"eid\": \"e12272\", \"logical_representation\": [\"2018/11/25\", \"I was cooking healthy turkey chili, so-easy sloppy joes on 2018/11/25 with Emily, Kayden, Andrew, Carter at my place\", \"cook\", \"healthy turkey chili, so-easy sloppy joes\", \"Emily, Kayden, Andrew, Carter\", \"my place\"], \"text_template_based\": \"I was cooking healthy turkey chili, so-easy sloppy joes on 2018/11/25 with Emily, Kayden, Andrew, Carter at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  healthy turkey chili, so-easy sloppy joes with Emily, Kayden, Andrew, Carter?\", \"2018/11/25\"], [\"what did I  on 2018/11/25?\", \"healthy turkey chili, so-easy sloppy joes\"], [\"who was I with when I  healthy turkey chili, so-easy sloppy joes on 2018/11/25?\", \"Emily, Kayden, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e12275\", \"logical_representation\": [\"2018/11/25\", \"I went grocery shopping with Nora, Eva, Hazel, Rylee, Nevaeh, Lydia, Claire, Layla, Piper. I bought some bananas, strawberries, watermelons, mango juice, and mouthwash, conditioner, body lotion, toothpaste\", \"bananas, strawberries, watermelons\", \"mango juice\", \"mouthwash, conditioner, body lotion, toothpaste\", \"Nora, Eva, Hazel, Rylee, Nevaeh, Lydia, Claire, Layla, Piper\"], \"text_template_based\": \"I went grocery shopping with Nora, Eva, Hazel, Rylee, Nevaeh, Lydia, Claire, Layla, Piper. I bought some bananas, strawberries, watermelons, mango juice, and mouthwash, conditioner, body lotion, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/11/25?\", \"bananas, strawberries, watermelons, mango juice, and mouthwash, conditioner, body lotion, toothpaste\"], [\"what fruits did I buy from the grocery store on 2018/11/25?\", \"bananas, strawberries, watermelons\"], [\"what drinks did I buy from the grocery store on 2018/11/25?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2018/11/25?\", \"mouthwash, conditioner, body lotion, toothpaste\"], [\"who was with me at the grocery store on 2018/11/25?\", \"Nora, Eva, Hazel, Rylee, Nevaeh, Lydia, Claire, Layla, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13493\", \"logical_representation\": [\"2018/11/25\", \"biking\"], \"text_template_based\": \"I did biking on 2018/11/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/25?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13494\", \"logical_representation\": [\"2018/11/25\", \"lunch\", \"tacos\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/11/25\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13495\", \"logical_representation\": [\"2018/11/25\", \"dinner\", \"sandwich\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/11/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13496\", \"logical_representation\": [\"2018/11/25\", \"Piper, Nora, Rylee\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Rylee for 37 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Rylee in the early afternoon on 2018/11/25?\", \"37 minutes\"], [\"who did I talk to on 2018/11/25?\", \"Piper, Nora, Rylee\"], [\"Did I talk to Piper, Nora, Rylee on 2018/11/25?\", \"yes\"], [\"Did I talk to anyone on 2018/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13497\", \"logical_representation\": [\"2018/11/25\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/11/25?\", \"44 minutes\"], [\"what did I read on 2018/11/25?\", \"a book\"], [\"Did I read on 2018/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/23\": {\"dating\": {\"eid\": \"e12273\", \"logical_representation\": [\"2018/11/23\", \"Isabella\", \"a coffee Shop\"], \"text_template_based\": \"On 2018/11/23, I took Isabella on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/11/23\", \"Isabella\"], [\"where did I go for the date on 2018/11/23\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13481\", \"logical_representation\": [\"2018/11/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/11/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13482\", \"logical_representation\": [\"2018/11/23\", \"breakfast\", \"cereals\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13483\", \"logical_representation\": [\"2018/11/23\", \"lunch\", \"chinese food\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had chinese food for lunch with Carter, Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/11/23?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for lunch on 2018/11/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13484\", \"logical_representation\": [\"2018/11/23\", \"dinner\", \"pasta\", \"Jackson\"], \"text_template_based\": \"I had pasta for dinner with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/11/23?\", \"Jackson\"], [\"what did I eat for dinner on 2018/11/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13485\", \"logical_representation\": [\"2018/11/23\", \"Nora, Lydia, Layla, Hazel\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Nora, Lydia, Layla, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Layla, Hazel late in the evening on 2018/11/23?\", \"10 minutes\"], [\"who did I talk to on 2018/11/23?\", \"Nora, Lydia, Layla, Hazel\"], [\"Did I talk to Nora, Lydia, Layla, Hazel on 2018/11/23?\", \"yes\"], [\"Did I talk to anyone on 2018/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13486\", \"logical_representation\": [\"2018/11/23\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/11/23?\", \"28 minutes\"], [\"what did I read on 2018/11/23?\", \"news\"], [\"Did I read on 2018/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13487\", \"logical_representation\": [\"2018/11/23\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/23?\", \"19 minutes\"], [\"what did I watch on tv on 2018/11/23?\", \"news\"], [\"Did I watch tv on 2018/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/20\": {\"grocery\": {\"eid\": \"e12274\", \"logical_representation\": [\"2018/11/20\", \"I went grocery shopping with Kinsley, Hazel, Layla. I bought some pineapples, watermelons, pears, bananas, soda, sports drinks, and shampoo, conditioner\", \"pineapples, watermelons, pears, bananas\", \"soda, sports drinks\", \"shampoo, conditioner\", \"Kinsley, Hazel, Layla\"], \"text_template_based\": \"I went grocery shopping with Kinsley, Hazel, Layla. I bought some pineapples, watermelons, pears, bananas, soda, sports drinks, and shampoo, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/11/20?\", \"pineapples, watermelons, pears, bananas, soda, sports drinks, and shampoo, conditioner\"], [\"what fruits did I buy from the grocery store on 2018/11/20?\", \"pineapples, watermelons, pears, bananas\"], [\"what drinks did I buy from the grocery store on 2018/11/20?\", \"soda, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2018/11/20?\", \"shampoo, conditioner\"], [\"who was with me at the grocery store on 2018/11/20?\", \"Kinsley, Hazel, Layla\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13471\", \"logical_representation\": [\"2018/11/20\", \"running\"], \"text_template_based\": \"I did running on 2018/11/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/20?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13472\", \"logical_representation\": [\"2018/11/20\", \"dinner\", \"fish and chips\", \"Olivia, Hazel, Nora, Claire\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/11/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13473\", \"logical_representation\": [\"2018/11/20\", \"Claire\", \"in the late afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Claire for 35 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2018/11/20?\", \"35 minutes\"], [\"who did I talk to on 2018/11/20?\", \"Claire\"], [\"Did I talk to Claire on 2018/11/20?\", \"yes\"], [\"Did I talk to anyone on 2018/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/30\": {\"dating\": {\"eid\": \"e12276\", \"logical_representation\": [\"2018/11/30\", \"Adam\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Adam on 2018/11/30 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/11/30\", \"Adam\"], [\"where did I go for the date on 2018/11/30\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13508\", \"logical_representation\": [\"2018/11/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/11/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13509\", \"logical_representation\": [\"2018/11/30\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Layla, Nora\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Piper, Layla, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/11/30?\", \"Piper, Layla, Nora\"], [\"what did I eat for breakfast on 2018/11/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13510\", \"logical_representation\": [\"2018/11/30\", \"lunch\", \"tacos\", \"Olivia, Piper\"], \"text_template_based\": \"I had lunch with Olivia, Piper. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/11/30?\", \"Olivia, Piper\"], [\"what did I eat for lunch on 2018/11/30\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13511\", \"logical_representation\": [\"2018/11/30\", \"dinner\", \"indian food\", \"Kinsley\"], \"text_template_based\": \"I had indian food for dinner with Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/11/30?\", \"Kinsley\"], [\"what did I eat for dinner on 2018/11/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13512\", \"logical_representation\": [\"2018/11/30\", \"Piper, Nevaeh, Rylee, Piper\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Piper, Nevaeh, Rylee, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Rylee, Piper in the morning on 2018/11/30?\", \"17 minutes\"], [\"who did I talk to on 2018/11/30?\", \"Piper, Nevaeh, Rylee, Piper\"], [\"Did I talk to Piper, Nevaeh, Rylee, Piper on 2018/11/30?\", \"yes\"], [\"Did I talk to anyone on 2018/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13513\", \"logical_representation\": [\"2018/11/30\", \"Avery, Rylee, Lydia\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Avery, Rylee, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee, Lydia late in the evening on 2018/11/30?\", \"15 minutes\"], [\"who did I talk to on 2018/11/30?\", \"Avery, Rylee, Lydia\"], [\"Did I talk to Avery, Rylee, Lydia on 2018/11/30?\", \"yes\"], [\"Did I talk to anyone on 2018/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13514\", \"logical_representation\": [\"2018/11/30\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/11/30?\", \"32 minutes\"], [\"what did I read on 2018/11/30?\", \"social media\"], [\"Did I read on 2018/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13515\", \"logical_representation\": [\"2018/11/30\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/30?\", \"54 minutes\"], [\"what did I watch on tv on 2018/11/30?\", \"news\"], [\"Did I watch tv on 2018/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/28\": {\"grocery\": {\"eid\": \"e12277\", \"logical_representation\": [\"2018/11/28\", \"I bought some peaches, raspberries, nectarines, guava juice, soda, sports drinks, shaving cream, mouth wash, toilet paper online.\", \"peaches, raspberries, nectarines\", \"guava juice, soda, sports drinks\", \"shaving cream, mouth wash, toilet paper\", \"Lydia, Piper, Kinsley, Nora, Eva\"], \"text_template_based\": \"I bought some peaches, raspberries, nectarines, guava juice, soda, sports drinks, shaving cream, mouth wash, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/11/28?\", \"peaches, raspberries, nectarines, guava juice, soda, sports drinks, and shaving cream, mouth wash, toilet paper\"], [\"what fruits did I buy online on 2018/11/28?\", \"peaches, raspberries, nectarines\"], [\"what drinks did I buy online on 2018/11/28?\", \"guava juice, soda, sports drinks\"], [\"what toiletries did I buy online on 2018/11/28?\", \"shaving cream, mouth wash, toilet paper\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13503\", \"logical_representation\": [\"2018/11/28\", \"dinner\", \"steak\", \"Olivia\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/11/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13504\", \"logical_representation\": [\"2018/11/28\", \"Nevaeh, Eva\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Nevaeh, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva in the late afternoon on 2018/11/28?\", \"28 minutes\"], [\"who did I talk to on 2018/11/28?\", \"Nevaeh, Eva\"], [\"Did I talk to Nevaeh, Eva on 2018/11/28?\", \"yes\"], [\"Did I talk to anyone on 2018/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13505\", \"logical_representation\": [\"2018/11/28\", \"news\", \"47 minutes\"], \"text_template_based\": \"I watched news for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/28?\", \"47 minutes\"], [\"what did I watch on tv on 2018/11/28?\", \"news\"], [\"Did I watch tv on 2018/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/29\": {\"grocery\": {\"eid\": \"e12278\", \"logical_representation\": [\"2018/11/29\", \"I went grocery shopping with Piper, Olivia, Piper, Kinsley, Rylee, Nevaeh, Hazel, Avery, Layla, Eva, Nora. I bought some apples, milk, orange juice, mango juice, chocolate milk, and paper towel, mouthwash, toilet paper, body lotion\", \"apples\", \"milk, orange juice, mango juice, chocolate milk\", \"paper towel, mouthwash, toilet paper, body lotion\", \"Piper, Olivia, Piper, Kinsley, Rylee, Nevaeh, Hazel, Avery, Layla, Eva, Nora\"], \"text_template_based\": \"I went grocery shopping with Piper, Olivia, Piper, Kinsley, Rylee, Nevaeh, Hazel, Avery, Layla, Eva, Nora. I bought some apples, milk, orange juice, mango juice, chocolate milk, and paper towel, mouthwash, toilet paper, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/11/29?\", \"apples, milk, orange juice, mango juice, chocolate milk, and paper towel, mouthwash, toilet paper, body lotion\"], [\"what fruits did I buy from the grocery store on 2018/11/29?\", \"apples\"], [\"what drinks did I buy from the grocery store on 2018/11/29?\", \"milk, orange juice, mango juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2018/11/29?\", \"paper towel, mouthwash, toilet paper, body lotion\"], [\"who was with me at the grocery store on 2018/11/29?\", \"Piper, Olivia, Piper, Kinsley, Rylee, Nevaeh, Hazel, Avery, Layla, Eva, Nora\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13506\", \"logical_representation\": [\"2018/11/29\", \"lunch\", \"steak\", \"Emily, Kayden\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/11/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13507\", \"logical_representation\": [\"2018/11/29\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/11/29?\", \"28 minutes\"], [\"what did I read on 2018/11/29?\", \"a book\"], [\"Did I read on 2018/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/06\": {\"dating\": {\"eid\": \"e12279\", \"logical_representation\": [\"2018/12/06\", \"Matthew\", \"a park\"], \"text_template_based\": \"On 2018/12/06, I took Matthew on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/12/06\", \"Matthew\"], [\"where did I go for the date on 2018/12/06\", \"a park\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13535\", \"logical_representation\": [\"2018/12/06\", \"lunch\", \"sandwich\", \"Avery, Piper, Piper, Eva, Olivia, Lydia, Rylee, Hazel, Nevaeh, Kinsley, Claire, Layla, Nora\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/12/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13536\", \"logical_representation\": [\"2018/12/06\", \"Layla, Nevaeh, Hazel\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Layla, Nevaeh, Hazel for 41 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Hazel in the late afternoon on 2018/12/06?\", \"41 minutes\"], [\"who did I talk to on 2018/12/06?\", \"Layla, Nevaeh, Hazel\"], [\"Did I talk to Layla, Nevaeh, Hazel on 2018/12/06?\", \"yes\"], [\"Did I talk to anyone on 2018/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13537\", \"logical_representation\": [\"2018/12/06\", \"Kinsley\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I talked to Kinsley for 17 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2018/12/06?\", \"17 minutes\"], [\"who did I talk to on 2018/12/06?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2018/12/06?\", \"yes\"], [\"Did I talk to anyone on 2018/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13538\", \"logical_representation\": [\"2018/12/06\", \"news\", \"44 minutes\"], \"text_template_based\": \"I watched news for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/06?\", \"44 minutes\"], [\"what did I watch on tv on 2018/12/06?\", \"news\"], [\"Did I watch tv on 2018/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/09\": {\"grocery\": {\"eid\": \"e12280\", \"logical_representation\": [\"2018/12/09\", \"I bought some pineapples, raspberries, peaches, cherres, apple juice, tea, orange juice, toothbrush, body lotion, toilet paper online.\", \"pineapples, raspberries, peaches, cherres\", \"apple juice, tea, orange juice\", \"toothbrush, body lotion, toilet paper\", \"Avery, Claire\"], \"text_template_based\": \"I bought some pineapples, raspberries, peaches, cherres, apple juice, tea, orange juice, toothbrush, body lotion, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/12/09?\", \"pineapples, raspberries, peaches, cherres, apple juice, tea, orange juice, and toothbrush, body lotion, toilet paper\"], [\"what fruits did I buy online on 2018/12/09?\", \"pineapples, raspberries, peaches, cherres\"], [\"what drinks did I buy online on 2018/12/09?\", \"apple juice, tea, orange juice\"], [\"what toiletries did I buy online on 2018/12/09?\", \"toothbrush, body lotion, toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13551\", \"logical_representation\": [\"2018/12/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/12/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13552\", \"logical_representation\": [\"2018/12/09\", \"lunch\", \"fish and chips\", \"Eva, Olivia, Piper, Hazel, Layla, Lydia, Nora, Avery, Claire, Nevaeh, Kinsley, Piper\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/12/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13553\", \"logical_representation\": [\"2018/12/09\", \"Piper\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2018/12/09?\", \"19 minutes\"], [\"who did I talk to on 2018/12/09?\", \"Piper\"], [\"Did I talk to Piper on 2018/12/09?\", \"yes\"], [\"Did I talk to anyone on 2018/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13554\", \"logical_representation\": [\"2018/12/09\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/12/09?\", \"13 minutes\"], [\"what did I read on 2018/12/09?\", \"news\"], [\"Did I read on 2018/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/20\": {\"grocery\": {\"eid\": \"e12281\", \"logical_representation\": [\"2018/12/20\", \"I went grocery shopping with Kinsley, Hazel, Nevaeh. I bought some pears, watermelons, mangos, guava, orange juice, coffee, and shampoo\", \"pears, watermelons, mangos, guava\", \"orange juice, coffee\", \"shampoo\", \"Kinsley, Hazel, Nevaeh\"], \"text_template_based\": \"I went grocery shopping with Kinsley, Hazel, Nevaeh. I bought some pears, watermelons, mangos, guava, orange juice, coffee, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/12/20?\", \"pears, watermelons, mangos, guava, orange juice, coffee, and shampoo\"], [\"what fruits did I buy from the grocery store on 2018/12/20?\", \"pears, watermelons, mangos, guava\"], [\"what drinks did I buy from the grocery store on 2018/12/20?\", \"orange juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2018/12/20?\", \"shampoo\"], [\"who was with me at the grocery store on 2018/12/20?\", \"Kinsley, Hazel, Nevaeh\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13585\", \"logical_representation\": [\"2018/12/20\", \"breakfast\", \"oatmeal\", \"Piper, Layla, Eva, Nevaeh, Olivia, Avery, Piper, Nora, Kinsley\"], \"text_template_based\": \"I had oatmeal for breakfast with Piper, Layla, Eva, Nevaeh, Olivia, Avery, Piper, Nora, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/12/20?\", \"Piper, Layla, Eva, Nevaeh, Olivia, Avery, Piper, Nora, Kinsley\"], [\"what did I eat for breakfast on 2018/12/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13586\", \"logical_representation\": [\"2018/12/20\", \"dinner\", \"tacos\", \"Piper, Layla, Lydia, Hazel, Olivia\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13587\", \"logical_representation\": [\"2018/12/20\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/12/20?\", \"21 minutes\"], [\"what did I read on 2018/12/20?\", \"news\"], [\"Did I read on 2018/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/30\": {\"hobbies\": {\"eid\": \"e12282\", \"logical_representation\": [\"2018/12/30\", \"I really enjoyed gardening on 2018/12/30\", \"gardening\", \"Claire, Lydia, Hazel\"], \"text_template_based\": \"I really enjoyed gardening on 2018/12/30\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2018/12/30\"], [\"On 2018/12/30, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13622\", \"logical_representation\": [\"2018/12/30\", \"breakfast\", \"pancakes\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had breakfast with Benjamin, Willow, Jackson. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/12/30?\", \"Benjamin, Willow, Jackson\"], [\"what did I eat for breakfast on 2018/12/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13623\", \"logical_representation\": [\"2018/12/30\", \"Eva, Hazel, Layla\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Eva, Hazel, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Layla in the early evening on 2018/12/30?\", \"47 minutes\"], [\"who did I talk to on 2018/12/30?\", \"Eva, Hazel, Layla\"], [\"Did I talk to Eva, Hazel, Layla on 2018/12/30?\", \"yes\"], [\"Did I talk to anyone on 2018/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13624\", \"logical_representation\": [\"2018/12/30\", \"a tv series\", \"36 minutes\"], \"text_template_based\": \"I watched a tv series for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/30?\", \"36 minutes\"], [\"what did I watch on tv on 2018/12/30?\", \"a tv series\"], [\"Did I watch tv on 2018/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/31\": {\"hobbies\": {\"eid\": \"e12283\", \"logical_representation\": [\"2018/12/31\", \"I spent time meditation on 2018/12/31 with Carter, Emily.\", \"meditation\", \"Carter, Emily\"], \"text_template_based\": \"I spent time meditation on 2018/12/31 with Carter, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Carter, Emily?\", \"2018/12/31\"], [\"On 2018/12/31, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2018/12/31?\", \"Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13625\", \"logical_representation\": [\"2018/12/31\", \"lunch\", \"a burger\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/12/31\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13626\", \"logical_representation\": [\"2018/12/31\", \"dinner\", \"tacos\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/12/31?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2018/12/31\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13627\", \"logical_representation\": [\"2018/12/31\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/12/31?\", \"28 minutes\"], [\"what did I read on 2018/12/31?\", \"social media\"], [\"Did I read on 2018/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13628\", \"logical_representation\": [\"2018/12/31\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/31?\", \"50 minutes\"], [\"what did I watch on tv on 2018/12/31?\", \"news\"], [\"Did I watch tv on 2018/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/02\": {\"breakfast\": {\"eid\": \"e12286\", \"logical_representation\": [\"2018/01/02\", \"breakfast\", \"oatmeal\", \"Rylee, Piper, Layla\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/01/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12287\", \"logical_representation\": [\"2018/01/02\", \"dinner\", \"sushi\", \"Willow\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/01/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12288\", \"logical_representation\": [\"2018/01/02\", \"Olivia, Nevaeh\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Olivia, Nevaeh for 41 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh in the late afternoon on 2018/01/02?\", \"41 minutes\"], [\"who did I talk to on 2018/01/02?\", \"Olivia, Nevaeh\"], [\"Did I talk to Olivia, Nevaeh on 2018/01/02?\", \"yes\"], [\"Did I talk to anyone on 2018/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12289\", \"logical_representation\": [\"2018/01/02\", \"Layla, Lydia, Nevaeh\", \"during lunch hours\", \"16 minutes\"], \"text_template_based\": \"I talked to Layla, Lydia, Nevaeh for 16 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Nevaeh during lunch hours on 2018/01/02?\", \"16 minutes\"], [\"who did I talk to on 2018/01/02?\", \"Layla, Lydia, Nevaeh\"], [\"Did I talk to Layla, Lydia, Nevaeh on 2018/01/02?\", \"yes\"], [\"Did I talk to anyone on 2018/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12290\", \"logical_representation\": [\"2018/01/02\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/01/02?\", \"46 minutes\"], [\"what did I read on 2018/01/02?\", \"a book\"], [\"Did I read on 2018/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/03\": {\"breakfast\": {\"eid\": \"e12291\", \"logical_representation\": [\"2018/01/03\", \"breakfast\", \"pancakes\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/01/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12292\", \"logical_representation\": [\"2018/01/03\", \"lunch\", \"sandwich\", \"Avery, Eva, Rylee, Piper, Hazel, Layla, Olivia, Nora, Lydia, Nevaeh, Kinsley, Claire, Piper\"], \"text_template_based\": \"I had sandwich for lunch with Avery, Eva, Rylee, Piper, Hazel, Layla, Olivia, Nora, Lydia, Nevaeh, Kinsley, Claire, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/01/03?\", \"Avery, Eva, Rylee, Piper, Hazel, Layla, Olivia, Nora, Lydia, Nevaeh, Kinsley, Claire, Piper\"], [\"what did I eat for lunch on 2018/01/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2018/01/04\": {\"breakfast\": {\"eid\": \"e12293\", \"logical_representation\": [\"2018/01/04\", \"breakfast\", \"oatmeal\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had oatmeal for breakfast with Carter, Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/01/04?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for breakfast on 2018/01/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12294\", \"logical_representation\": [\"2018/01/04\", \"Claire\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2018/01/04?\", \"25 minutes\"], [\"who did I talk to on 2018/01/04?\", \"Claire\"], [\"Did I talk to Claire on 2018/01/04?\", \"yes\"], [\"Did I talk to anyone on 2018/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/06\": {\"breakfast\": {\"eid\": \"e12299\", \"logical_representation\": [\"2018/01/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/01/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12300\", \"logical_representation\": [\"2018/01/06\", \"dinner\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had indian food for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/01/06?\", \"Emily\"], [\"what did I eat for dinner on 2018/01/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12301\", \"logical_representation\": [\"2018/01/06\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/06?\", \"31 minutes\"], [\"what did I watch on tv on 2018/01/06?\", \"news\"], [\"Did I watch tv on 2018/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/07\": {\"exercise\": {\"eid\": \"e12302\", \"logical_representation\": [\"2018/01/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/01/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12303\", \"logical_representation\": [\"2018/01/07\", \"Lydia, Claire\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Lydia, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire during lunch hours on 2018/01/07?\", \"6 minutes\"], [\"who did I talk to on 2018/01/07?\", \"Lydia, Claire\"], [\"Did I talk to Lydia, Claire on 2018/01/07?\", \"yes\"], [\"Did I talk to anyone on 2018/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12304\", \"logical_representation\": [\"2018/01/07\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/07?\", \"22 minutes\"], [\"what did I watch on tv on 2018/01/07?\", \"a movie\"], [\"Did I watch tv on 2018/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/08\": {\"dinner\": {\"eid\": \"e12305\", \"logical_representation\": [\"2018/01/08\", \"dinner\", \"sushi\", \"Layla, Piper, Kinsley, Olivia, Nevaeh, Claire, Avery, Eva\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/01/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12306\", \"logical_representation\": [\"2018/01/08\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/01/08?\", \"17 minutes\"], [\"what did I read on 2018/01/08?\", \"social media\"], [\"Did I read on 2018/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/09\": {\"lunch\": {\"eid\": \"e12307\", \"logical_representation\": [\"2018/01/09\", \"lunch\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/01/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12308\", \"logical_representation\": [\"2018/01/09\", \"dinner\", \"chinese food\", \"Willow\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/01/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12309\", \"logical_representation\": [\"2018/01/09\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I watched a tv series for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/09?\", \"22 minutes\"], [\"what did I watch on tv on 2018/01/09?\", \"a tv series\"], [\"Did I watch tv on 2018/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/11\": {\"dinner\": {\"eid\": \"e12315\", \"logical_representation\": [\"2018/01/11\", \"dinner\", \"chinese food\", \"Eva, Avery, Nora, Kinsley, Nevaeh, Piper, Layla\"], \"text_template_based\": \"I had chinese food for dinner with Eva, Avery, Nora, Kinsley, Nevaeh, Piper, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/01/11?\", \"Eva, Avery, Nora, Kinsley, Nevaeh, Piper, Layla\"], [\"what did I eat for dinner on 2018/01/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12316\", \"logical_representation\": [\"2018/01/11\", \"Piper\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Piper for 26 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2018/01/11?\", \"26 minutes\"], [\"who did I talk to on 2018/01/11?\", \"Piper\"], [\"Did I talk to Piper on 2018/01/11?\", \"yes\"], [\"Did I talk to anyone on 2018/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12317\", \"logical_representation\": [\"2018/01/11\", \"Lydia, Rylee\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee for 10 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee in the late afternoon on 2018/01/11?\", \"10 minutes\"], [\"who did I talk to on 2018/01/11?\", \"Lydia, Rylee\"], [\"Did I talk to Lydia, Rylee on 2018/01/11?\", \"yes\"], [\"Did I talk to anyone on 2018/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12318\", \"logical_representation\": [\"2018/01/11\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/01/11?\", \"42 minutes\"], [\"what did I read on 2018/01/11?\", \"social media\"], [\"Did I read on 2018/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12319\", \"logical_representation\": [\"2018/01/11\", \"a movie\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/11?\", \"54 minutes\"], [\"what did I watch on tv on 2018/01/11?\", \"a movie\"], [\"Did I watch tv on 2018/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/12\": {\"exercise\": {\"eid\": \"e12320\", \"logical_representation\": [\"2018/01/12\", \"biking\"], \"text_template_based\": \"I did biking on 2018/01/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/12?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12321\", \"logical_representation\": [\"2018/01/12\", \"Nora, Eva, Hazel\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Nora, Eva, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Hazel in the early evening on 2018/01/12?\", \"52 minutes\"], [\"who did I talk to on 2018/01/12?\", \"Nora, Eva, Hazel\"], [\"Did I talk to Nora, Eva, Hazel on 2018/01/12?\", \"yes\"], [\"Did I talk to anyone on 2018/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12322\", \"logical_representation\": [\"2018/01/12\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/12?\", \"19 minutes\"], [\"what did I watch on tv on 2018/01/12?\", \"news\"], [\"Did I watch tv on 2018/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/13\": {\"exercise\": {\"eid\": \"e12323\", \"logical_representation\": [\"2018/01/13\", \"biking\"], \"text_template_based\": \"I did biking on 2018/01/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12324\", \"logical_representation\": [\"2018/01/13\", \"lunch\", \"steak\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/01/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12325\", \"logical_representation\": [\"2018/01/13\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/01/13?\", \"13 minutes\"], [\"what did I read on 2018/01/13?\", \"social media\"], [\"Did I read on 2018/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/14\": {\"exercise\": {\"eid\": \"e12326\", \"logical_representation\": [\"2018/01/14\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/01/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/14?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12327\", \"logical_representation\": [\"2018/01/14\", \"lunch\", \"pasta\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/01/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12328\", \"logical_representation\": [\"2018/01/14\", \"dinner\", \"steak\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/01/14?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for dinner on 2018/01/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12329\", \"logical_representation\": [\"2018/01/14\", \"Nora, Piper, Claire\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Claire for 7 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Claire during lunch hours on 2018/01/14?\", \"7 minutes\"], [\"who did I talk to on 2018/01/14?\", \"Nora, Piper, Claire\"], [\"Did I talk to Nora, Piper, Claire on 2018/01/14?\", \"yes\"], [\"Did I talk to anyone on 2018/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12330\", \"logical_representation\": [\"2018/01/14\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/01/14?\", \"10 minutes\"], [\"what did I read on 2018/01/14?\", \"a book\"], [\"Did I read on 2018/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12331\", \"logical_representation\": [\"2018/01/14\", \"a documentary\", \"34 minutes\"], \"text_template_based\": \"I watched a documentary for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/14?\", \"34 minutes\"], [\"what did I watch on tv on 2018/01/14?\", \"a documentary\"], [\"Did I watch tv on 2018/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/15\": {\"exercise\": {\"eid\": \"e12332\", \"logical_representation\": [\"2018/01/15\", \"biking\"], \"text_template_based\": \"I did biking on 2018/01/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12333\", \"logical_representation\": [\"2018/01/15\", \"lunch\", \"steak\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/01/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12334\", \"logical_representation\": [\"2018/01/15\", \"a movie\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/15?\", \"52 minutes\"], [\"what did I watch on tv on 2018/01/15?\", \"a movie\"], [\"Did I watch tv on 2018/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/17\": {\"breakfast\": {\"eid\": \"e12338\", \"logical_representation\": [\"2018/01/17\", \"breakfast\", \"pancakes\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had breakfast with Benjamin, Willow, Jackson. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/01/17?\", \"Benjamin, Willow, Jackson\"], [\"what did I eat for breakfast on 2018/01/17\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12339\", \"logical_representation\": [\"2018/01/17\", \"dinner\", \"pasta\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/01/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12340\", \"logical_representation\": [\"2018/01/17\", \"Eva, Piper\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Eva, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper late in the evening on 2018/01/17?\", \"33 minutes\"], [\"who did I talk to on 2018/01/17?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2018/01/17?\", \"yes\"], [\"Did I talk to anyone on 2018/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12341\", \"logical_representation\": [\"2018/01/17\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/01/17?\", \"16 minutes\"], [\"what did I read on 2018/01/17?\", \"social media\"], [\"Did I read on 2018/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/19\": {\"exercise\": {\"eid\": \"e12347\", \"logical_representation\": [\"2018/01/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/01/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12348\", \"logical_representation\": [\"2018/01/19\", \"breakfast\", \"toast and cheese\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/01/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12349\", \"logical_representation\": [\"2018/01/19\", \"Piper\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Piper for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2018/01/19?\", \"30 minutes\"], [\"who did I talk to on 2018/01/19?\", \"Piper\"], [\"Did I talk to Piper on 2018/01/19?\", \"yes\"], [\"Did I talk to anyone on 2018/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/20\": {\"lunch\": {\"eid\": \"e12350\", \"logical_representation\": [\"2018/01/20\", \"lunch\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/01/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12351\", \"logical_representation\": [\"2018/01/20\", \"dinner\", \"tacos\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/01/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12352\", \"logical_representation\": [\"2018/01/20\", \"Claire, Nora, Olivia\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Claire, Nora, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Olivia in the early afternoon on 2018/01/20?\", \"7 minutes\"], [\"who did I talk to on 2018/01/20?\", \"Claire, Nora, Olivia\"], [\"Did I talk to Claire, Nora, Olivia on 2018/01/20?\", \"yes\"], [\"Did I talk to anyone on 2018/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12353\", \"logical_representation\": [\"2018/01/20\", \"news\", \"36 minutes\"], \"text_template_based\": \"I watched news for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/20?\", \"36 minutes\"], [\"what did I watch on tv on 2018/01/20?\", \"news\"], [\"Did I watch tv on 2018/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/22\": {\"exercise\": {\"eid\": \"e12359\", \"logical_representation\": [\"2018/01/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/01/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12360\", \"logical_representation\": [\"2018/01/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/01/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2018/01/23\": {\"exercise\": {\"eid\": \"e12361\", \"logical_representation\": [\"2018/01/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/01/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12362\", \"logical_representation\": [\"2018/01/23\", \"breakfast\", \"toast and cheese\", \"Lydia, Olivia, Claire, Rylee, Layla, Eva, Nevaeh, Piper\"], \"text_template_based\": \"I had breakfast with Lydia, Olivia, Claire, Rylee, Layla, Eva, Nevaeh, Piper. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/01/23?\", \"Lydia, Olivia, Claire, Rylee, Layla, Eva, Nevaeh, Piper\"], [\"what did I eat for breakfast on 2018/01/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12363\", \"logical_representation\": [\"2018/01/23\", \"lunch\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/01/23?\", \"Kayden\"], [\"what did I eat for lunch on 2018/01/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12364\", \"logical_representation\": [\"2018/01/23\", \"Lydia, Layla, Claire\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Lydia, Layla, Claire for 39 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla, Claire in the late afternoon on 2018/01/23?\", \"39 minutes\"], [\"who did I talk to on 2018/01/23?\", \"Lydia, Layla, Claire\"], [\"Did I talk to Lydia, Layla, Claire on 2018/01/23?\", \"yes\"], [\"Did I talk to anyone on 2018/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12365\", \"logical_representation\": [\"2018/01/23\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/01/23?\", \"46 minutes\"], [\"what did I read on 2018/01/23?\", \"news\"], [\"Did I read on 2018/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/24\": {\"breakfast\": {\"eid\": \"e12366\", \"logical_representation\": [\"2018/01/24\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/01/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12367\", \"logical_representation\": [\"2018/01/24\", \"lunch\", \"pasta\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had lunch with Carter, Andrew, Kayden, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/01/24?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2018/01/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12368\", \"logical_representation\": [\"2018/01/24\", \"Olivia\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2018/01/24?\", \"53 minutes\"], [\"who did I talk to on 2018/01/24?\", \"Olivia\"], [\"Did I talk to Olivia on 2018/01/24?\", \"yes\"], [\"Did I talk to anyone on 2018/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12369\", \"logical_representation\": [\"2018/01/24\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/01/24?\", \"43 minutes\"], [\"what did I read on 2018/01/24?\", \"social media\"], [\"Did I read on 2018/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/27\": {\"exercise\": {\"eid\": \"e12380\", \"logical_representation\": [\"2018/01/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/01/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12381\", \"logical_representation\": [\"2018/01/27\", \"breakfast\", \"toast and cheese\", \"Benjamin, Willow\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/01/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12382\", \"logical_representation\": [\"2018/01/27\", \"dinner\", \"fish and chips\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Avery, Willow, Jackson. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/01/27?\", \"Benjamin, Avery, Willow, Jackson\"], [\"what did I eat for dinner on 2018/01/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12383\", \"logical_representation\": [\"2018/01/27\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I watched a tv series for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/27?\", \"23 minutes\"], [\"what did I watch on tv on 2018/01/27?\", \"a tv series\"], [\"Did I watch tv on 2018/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/28\": {\"exercise\": {\"eid\": \"e12384\", \"logical_representation\": [\"2018/01/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/01/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12385\", \"logical_representation\": [\"2018/01/28\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/01/28?\", \"23 minutes\"], [\"what did I read on 2018/01/28?\", \"news\"], [\"Did I read on 2018/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12386\", \"logical_representation\": [\"2018/01/28\", \"a movie\", \"42 minutes\"], \"text_template_based\": \"I watched a movie for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/28?\", \"42 minutes\"], [\"what did I watch on tv on 2018/01/28?\", \"a movie\"], [\"Did I watch tv on 2018/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/30\": {\"exercise\": {\"eid\": \"e12391\", \"logical_representation\": [\"2018/01/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/01/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12392\", \"logical_representation\": [\"2018/01/30\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/01/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2018/01/31\": {\"breakfast\": {\"eid\": \"e12393\", \"logical_representation\": [\"2018/01/31\", \"breakfast\", \"oatmeal\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/01/31\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12394\", \"logical_representation\": [\"2018/01/31\", \"Layla, Nevaeh, Avery\", \"in the early afternoon\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Layla, Nevaeh, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Avery in the early afternoon on 2018/01/31?\", \"14 minutes\"], [\"who did I talk to on 2018/01/31?\", \"Layla, Nevaeh, Avery\"], [\"Did I talk to Layla, Nevaeh, Avery on 2018/01/31?\", \"yes\"], [\"Did I talk to anyone on 2018/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12395\", \"logical_representation\": [\"2018/01/31\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/01/31?\", \"45 minutes\"], [\"what did I read on 2018/01/31?\", \"news\"], [\"Did I read on 2018/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/01\": {\"exercise\": {\"eid\": \"e12396\", \"logical_representation\": [\"2018/02/01\", \"biking\"], \"text_template_based\": \"I did biking on 2018/02/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/01?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12397\", \"logical_representation\": [\"2018/02/01\", \"dinner\", \"pasta\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had pasta for dinner with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/02/01?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2018/02/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12398\", \"logical_representation\": [\"2018/02/01\", \"Claire, Piper, Nevaeh, Piper\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Nevaeh, Piper for 38 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Nevaeh, Piper during lunch hours on 2018/02/01?\", \"38 minutes\"], [\"who did I talk to on 2018/02/01?\", \"Claire, Piper, Nevaeh, Piper\"], [\"Did I talk to Claire, Piper, Nevaeh, Piper on 2018/02/01?\", \"yes\"], [\"Did I talk to anyone on 2018/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12399\", \"logical_representation\": [\"2018/02/01\", \"a documentary\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/01?\", \"6 minutes\"], [\"what did I watch on tv on 2018/02/01?\", \"a documentary\"], [\"Did I watch tv on 2018/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/02\": {\"exercise\": {\"eid\": \"e12400\", \"logical_representation\": [\"2018/02/02\", \"biking\"], \"text_template_based\": \"I did biking on 2018/02/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/02?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12401\", \"logical_representation\": [\"2018/02/02\", \"dinner\", \"fish and chips\", \"Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/02/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12402\", \"logical_representation\": [\"2018/02/02\", \"Hazel, Rylee\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Hazel, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee in the late afternoon on 2018/02/02?\", \"48 minutes\"], [\"who did I talk to on 2018/02/02?\", \"Hazel, Rylee\"], [\"Did I talk to Hazel, Rylee on 2018/02/02?\", \"yes\"], [\"Did I talk to anyone on 2018/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12403\", \"logical_representation\": [\"2018/02/02\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/02/02?\", \"30 minutes\"], [\"what did I read on 2018/02/02?\", \"news\"], [\"Did I read on 2018/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/03\": {\"exercise\": {\"eid\": \"e12404\", \"logical_representation\": [\"2018/02/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/02/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12405\", \"logical_representation\": [\"2018/02/03\", \"breakfast\", \"oatmeal\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/02/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2018/02/04\": {\"breakfast\": {\"eid\": \"e12406\", \"logical_representation\": [\"2018/02/04\", \"breakfast\", \"cereals\", \"Eva, Layla, Kinsley, Claire, Nevaeh, Lydia, Piper, Hazel, Rylee, Avery, Olivia, Nora\"], \"text_template_based\": \"I had cereals for breakfast with Eva, Layla, Kinsley, Claire, Nevaeh, Lydia, Piper, Hazel, Rylee, Avery, Olivia, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/02/04?\", \"Eva, Layla, Kinsley, Claire, Nevaeh, Lydia, Piper, Hazel, Rylee, Avery, Olivia, Nora\"], [\"what did I eat for breakfast on 2018/02/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12407\", \"logical_representation\": [\"2018/02/04\", \"lunch\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/02/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12408\", \"logical_representation\": [\"2018/02/04\", \"dinner\", \"chinese food\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Emily, Andrew, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/02/04?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2018/02/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2018/02/06\": {\"breakfast\": {\"eid\": \"e12412\", \"logical_representation\": [\"2018/02/06\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/02/06?\", \"Carter\"], [\"what did I eat for breakfast on 2018/02/06\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12413\", \"logical_representation\": [\"2018/02/06\", \"lunch\", \"steak\", \"Andrew\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/02/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12414\", \"logical_representation\": [\"2018/02/06\", \"dinner\", \"tacos\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had dinner with Avery, Benjamin, Willow. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/02/06?\", \"Avery, Benjamin, Willow\"], [\"what did I eat for dinner on 2018/02/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12415\", \"logical_representation\": [\"2018/02/06\", \"Olivia, Piper\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Olivia, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper in the morning on 2018/02/06?\", \"30 minutes\"], [\"who did I talk to on 2018/02/06?\", \"Olivia, Piper\"], [\"Did I talk to Olivia, Piper on 2018/02/06?\", \"yes\"], [\"Did I talk to anyone on 2018/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12416\", \"logical_representation\": [\"2018/02/06\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/02/06?\", \"48 minutes\"], [\"what did I read on 2018/02/06?\", \"social media\"], [\"Did I read on 2018/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12417\", \"logical_representation\": [\"2018/02/06\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I watched a documentary for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/06?\", \"40 minutes\"], [\"what did I watch on tv on 2018/02/06?\", \"a documentary\"], [\"Did I watch tv on 2018/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/08\": {\"breakfast\": {\"eid\": \"e12420\", \"logical_representation\": [\"2018/02/08\", \"breakfast\", \"cereals\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/02/08?\", \"Andrew\"], [\"what did I eat for breakfast on 2018/02/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12421\", \"logical_representation\": [\"2018/02/08\", \"Rylee, Piper, Eva\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper, Eva for 5 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Eva in the morning on 2018/02/08?\", \"5 minutes\"], [\"who did I talk to on 2018/02/08?\", \"Rylee, Piper, Eva\"], [\"Did I talk to Rylee, Piper, Eva on 2018/02/08?\", \"yes\"], [\"Did I talk to anyone on 2018/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12422\", \"logical_representation\": [\"2018/02/08\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/02/08?\", \"55 minutes\"], [\"what did I read on 2018/02/08?\", \"social media\"], [\"Did I read on 2018/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/09\": {\"breakfast\": {\"eid\": \"e12423\", \"logical_representation\": [\"2018/02/09\", \"breakfast\", \"peanut-butter-jam\", \"Claire, Layla, Lydia, Nevaeh, Piper, Rylee, Hazel, Eva, Nora, Kinsley, Avery, Olivia, Piper\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/02/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12424\", \"logical_representation\": [\"2018/02/09\", \"dinner\", \"a burger\", \"Avery, Piper, Nevaeh, Claire, Lydia, Hazel, Layla, Olivia\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/02/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12425\", \"logical_representation\": [\"2018/02/09\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I watched a documentary for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/09?\", \"20 minutes\"], [\"what did I watch on tv on 2018/02/09?\", \"a documentary\"], [\"Did I watch tv on 2018/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/10\": {\"chat0\": {\"eid\": \"e12426\", \"logical_representation\": [\"2018/02/10\", \"Nora\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I talked to Nora for 5 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2018/02/10?\", \"5 minutes\"], [\"who did I talk to on 2018/02/10?\", \"Nora\"], [\"Did I talk to Nora on 2018/02/10?\", \"yes\"], [\"Did I talk to anyone on 2018/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12427\", \"logical_representation\": [\"2018/02/10\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/02/10?\", \"12 minutes\"], [\"what did I read on 2018/02/10?\", \"a book\"], [\"Did I read on 2018/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12428\", \"logical_representation\": [\"2018/02/10\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/10?\", \"41 minutes\"], [\"what did I watch on tv on 2018/02/10?\", \"a movie\"], [\"Did I watch tv on 2018/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/12\": {\"exercise\": {\"eid\": \"e12430\", \"logical_representation\": [\"2018/02/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/02/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12431\", \"logical_representation\": [\"2018/02/12\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Emily, Kayden, Carter. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/02/12?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for breakfast on 2018/02/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12432\", \"logical_representation\": [\"2018/02/12\", \"dinner\", \"pasta\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/02/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12433\", \"logical_representation\": [\"2018/02/12\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/02/12?\", \"19 minutes\"], [\"what did I read on 2018/02/12?\", \"news\"], [\"Did I read on 2018/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/13\": {\"breakfast\": {\"eid\": \"e12434\", \"logical_representation\": [\"2018/02/13\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/02/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12435\", \"logical_representation\": [\"2018/02/13\", \"dinner\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/02/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12436\", \"logical_representation\": [\"2018/02/13\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I watched a documentary for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/13?\", \"26 minutes\"], [\"what did I watch on tv on 2018/02/13?\", \"a documentary\"], [\"Did I watch tv on 2018/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/16\": {\"breakfast\": {\"eid\": \"e12442\", \"logical_representation\": [\"2018/02/16\", \"breakfast\", \"oatmeal\", \"Nevaeh, Piper, Avery, Kinsley, Claire, Rylee, Piper\"], \"text_template_based\": \"I had breakfast with Nevaeh, Piper, Avery, Kinsley, Claire, Rylee, Piper. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/02/16?\", \"Nevaeh, Piper, Avery, Kinsley, Claire, Rylee, Piper\"], [\"what did I eat for breakfast on 2018/02/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12443\", \"logical_representation\": [\"2018/02/16\", \"lunch\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/02/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12444\", \"logical_representation\": [\"2018/02/16\", \"Nora\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2018/02/16?\", \"55 minutes\"], [\"who did I talk to on 2018/02/16?\", \"Nora\"], [\"Did I talk to Nora on 2018/02/16?\", \"yes\"], [\"Did I talk to anyone on 2018/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12445\", \"logical_representation\": [\"2018/02/16\", \"Piper, Avery, Olivia\", \"in the late afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Piper, Avery, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Olivia in the late afternoon on 2018/02/16?\", \"16 minutes\"], [\"who did I talk to on 2018/02/16?\", \"Piper, Avery, Olivia\"], [\"Did I talk to Piper, Avery, Olivia on 2018/02/16?\", \"yes\"], [\"Did I talk to anyone on 2018/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12446\", \"logical_representation\": [\"2018/02/16\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/02/16?\", \"37 minutes\"], [\"what did I read on 2018/02/16?\", \"news\"], [\"Did I read on 2018/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12447\", \"logical_representation\": [\"2018/02/16\", \"a movie\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/16?\", \"55 minutes\"], [\"what did I watch on tv on 2018/02/16?\", \"a movie\"], [\"Did I watch tv on 2018/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/17\": {\"exercise\": {\"eid\": \"e12448\", \"logical_representation\": [\"2018/02/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/02/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12449\", \"logical_representation\": [\"2018/02/17\", \"lunch\", \"steak\", \"Lydia, Piper, Eva, Avery, Rylee, Kinsley, Olivia, Nevaeh, Claire, Hazel, Layla\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/02/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12450\", \"logical_representation\": [\"2018/02/17\", \"dinner\", \"fish and chips\", \"Hazel, Nevaeh, Rylee, Piper, Nora\"], \"text_template_based\": \"I had fish and chips for dinner with Hazel, Nevaeh, Rylee, Piper, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/02/17?\", \"Hazel, Nevaeh, Rylee, Piper, Nora\"], [\"what did I eat for dinner on 2018/02/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12451\", \"logical_representation\": [\"2018/02/17\", \"Nevaeh\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2018/02/17?\", \"49 minutes\"], [\"who did I talk to on 2018/02/17?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2018/02/17?\", \"yes\"], [\"Did I talk to anyone on 2018/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/19\": {\"dinner\": {\"eid\": \"e12457\", \"logical_representation\": [\"2018/02/19\", \"dinner\", \"sandwich\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/02/19?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2018/02/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12458\", \"logical_representation\": [\"2018/02/19\", \"Eva, Avery, Hazel, Layla\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Eva, Avery, Hazel, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Hazel, Layla in the late afternoon on 2018/02/19?\", \"41 minutes\"], [\"who did I talk to on 2018/02/19?\", \"Eva, Avery, Hazel, Layla\"], [\"Did I talk to Eva, Avery, Hazel, Layla on 2018/02/19?\", \"yes\"], [\"Did I talk to anyone on 2018/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12459\", \"logical_representation\": [\"2018/02/19\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/19?\", \"18 minutes\"], [\"what did I watch on tv on 2018/02/19?\", \"news\"], [\"Did I watch tv on 2018/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/21\": {\"breakfast\": {\"eid\": \"e12465\", \"logical_representation\": [\"2018/02/21\", \"breakfast\", \"pancakes\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Carter, Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/02/21?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2018/02/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12466\", \"logical_representation\": [\"2018/02/21\", \"lunch\", \"steak\", \"Eva, Avery, Nora, Claire, Layla, Kinsley, Lydia, Piper, Piper, Nevaeh\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/02/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12467\", \"logical_representation\": [\"2018/02/21\", \"dinner\", \"tacos\", \"Nevaeh, Avery, Nora, Olivia, Kinsley, Claire, Eva, Hazel, Piper, Lydia\"], \"text_template_based\": \"I had tacos for dinner with Nevaeh, Avery, Nora, Olivia, Kinsley, Claire, Eva, Hazel, Piper, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/02/21?\", \"Nevaeh, Avery, Nora, Olivia, Kinsley, Claire, Eva, Hazel, Piper, Lydia\"], [\"what did I eat for dinner on 2018/02/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12468\", \"logical_representation\": [\"2018/02/21\", \"Piper, Layla, Kinsley, Claire\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Kinsley, Claire for 14 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Kinsley, Claire in the early evening on 2018/02/21?\", \"14 minutes\"], [\"who did I talk to on 2018/02/21?\", \"Piper, Layla, Kinsley, Claire\"], [\"Did I talk to Piper, Layla, Kinsley, Claire on 2018/02/21?\", \"yes\"], [\"Did I talk to anyone on 2018/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12469\", \"logical_representation\": [\"2018/02/21\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/02/21?\", \"15 minutes\"], [\"what did I read on 2018/02/21?\", \"news\"], [\"Did I read on 2018/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/22\": {\"exercise\": {\"eid\": \"e12470\", \"logical_representation\": [\"2018/02/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/02/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12471\", \"logical_representation\": [\"2018/02/22\", \"lunch\", \"sandwich\", \"Lydia, Kinsley, Piper, Olivia, Claire, Avery\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/02/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12472\", \"logical_representation\": [\"2018/02/22\", \"Layla\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2018/02/22?\", \"52 minutes\"], [\"who did I talk to on 2018/02/22?\", \"Layla\"], [\"Did I talk to Layla on 2018/02/22?\", \"yes\"], [\"Did I talk to anyone on 2018/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12473\", \"logical_representation\": [\"2018/02/22\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/22?\", \"19 minutes\"], [\"what did I watch on tv on 2018/02/22?\", \"news\"], [\"Did I watch tv on 2018/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/24\": {\"exercise\": {\"eid\": \"e12476\", \"logical_representation\": [\"2018/02/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/02/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12477\", \"logical_representation\": [\"2018/02/24\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/02/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12478\", \"logical_representation\": [\"2018/02/24\", \"lunch\", \"pasta\", \"Benjamin, Avery\"], \"text_template_based\": \"I had lunch with Benjamin, Avery. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/02/24?\", \"Benjamin, Avery\"], [\"what did I eat for lunch on 2018/02/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12479\", \"logical_representation\": [\"2018/02/24\", \"dinner\", \"steak\", \"Piper, Claire, Layla\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/02/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12480\", \"logical_representation\": [\"2018/02/24\", \"Claire, Lydia\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Claire, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia late in the evening on 2018/02/24?\", \"47 minutes\"], [\"who did I talk to on 2018/02/24?\", \"Claire, Lydia\"], [\"Did I talk to Claire, Lydia on 2018/02/24?\", \"yes\"], [\"Did I talk to anyone on 2018/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12481\", \"logical_representation\": [\"2018/02/24\", \"Nora, Nevaeh, Avery\", \"during lunch hours\", \"30 minutes\"], \"text_template_based\": \"I talked to Nora, Nevaeh, Avery for 30 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Avery during lunch hours on 2018/02/24?\", \"30 minutes\"], [\"who did I talk to on 2018/02/24?\", \"Nora, Nevaeh, Avery\"], [\"Did I talk to Nora, Nevaeh, Avery on 2018/02/24?\", \"yes\"], [\"Did I talk to anyone on 2018/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12482\", \"logical_representation\": [\"2018/02/24\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/24?\", \"30 minutes\"], [\"what did I watch on tv on 2018/02/24?\", \"news\"], [\"Did I watch tv on 2018/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/25\": {\"exercise\": {\"eid\": \"e12483\", \"logical_representation\": [\"2018/02/25\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/02/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/25?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12484\", \"logical_representation\": [\"2018/02/25\", \"breakfast\", \"oatmeal\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/02/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12485\", \"logical_representation\": [\"2018/02/25\", \"dinner\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/02/25?\", \"Kayden\"], [\"what did I eat for dinner on 2018/02/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12486\", \"logical_representation\": [\"2018/02/25\", \"Kinsley\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the late afternoon on 2018/02/25?\", \"41 minutes\"], [\"who did I talk to on 2018/02/25?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2018/02/25?\", \"yes\"], [\"Did I talk to anyone on 2018/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12487\", \"logical_representation\": [\"2018/02/25\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/02/25?\", \"30 minutes\"], [\"what did I read on 2018/02/25?\", \"social media\"], [\"Did I read on 2018/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/26\": {\"exercise\": {\"eid\": \"e12488\", \"logical_representation\": [\"2018/02/26\", \"running\"], \"text_template_based\": \"I did running on 2018/02/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12489\", \"logical_representation\": [\"2018/02/26\", \"breakfast\", \"toast and cheese\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/02/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12490\", \"logical_representation\": [\"2018/02/26\", \"lunch\", \"chinese food\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/02/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12491\", \"logical_representation\": [\"2018/02/26\", \"Nevaeh, Kinsley, Lydia, Piper\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Kinsley, Lydia, Piper for 18 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Lydia, Piper during lunch hours on 2018/02/26?\", \"18 minutes\"], [\"who did I talk to on 2018/02/26?\", \"Nevaeh, Kinsley, Lydia, Piper\"], [\"Did I talk to Nevaeh, Kinsley, Lydia, Piper on 2018/02/26?\", \"yes\"], [\"Did I talk to anyone on 2018/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12492\", \"logical_representation\": [\"2018/02/26\", \"Layla, Claire, Lydia, Eva\", \"in the morning\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Layla, Claire, Lydia, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire, Lydia, Eva in the morning on 2018/02/26?\", \"23 minutes\"], [\"who did I talk to on 2018/02/26?\", \"Layla, Claire, Lydia, Eva\"], [\"Did I talk to Layla, Claire, Lydia, Eva on 2018/02/26?\", \"yes\"], [\"Did I talk to anyone on 2018/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12493\", \"logical_representation\": [\"2018/02/26\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/02/26?\", \"38 minutes\"], [\"what did I read on 2018/02/26?\", \"a book\"], [\"Did I read on 2018/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/07\": {\"breakfast\": {\"eid\": \"e12518\", \"logical_representation\": [\"2018/03/07\", \"breakfast\", \"oatmeal\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/03/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12519\", \"logical_representation\": [\"2018/03/07\", \"Piper, Eva\", \"in the morning\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Piper, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva in the morning on 2018/03/07?\", \"16 minutes\"], [\"who did I talk to on 2018/03/07?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2018/03/07?\", \"yes\"], [\"Did I talk to anyone on 2018/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/13\": {\"exercise\": {\"eid\": \"e12536\", \"logical_representation\": [\"2018/03/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/03/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12537\", \"logical_representation\": [\"2018/03/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Jackson\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/03/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12538\", \"logical_representation\": [\"2018/03/13\", \"lunch\", \"chinese food\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/03/13?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for lunch on 2018/03/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12539\", \"logical_representation\": [\"2018/03/13\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/03/13?\", \"36 minutes\"], [\"what did I read on 2018/03/13?\", \"news\"], [\"Did I read on 2018/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/14\": {\"exercise\": {\"eid\": \"e12540\", \"logical_representation\": [\"2018/03/14\", \"biking\"], \"text_template_based\": \"I did biking on 2018/03/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12541\", \"logical_representation\": [\"2018/03/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee, Claire, Piper, Avery, Hazel, Lydia, Olivia, Piper, Kinsley, Nevaeh, Layla\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/03/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12542\", \"logical_representation\": [\"2018/03/14\", \"dinner\", \"tacos\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Emily, Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/03/14?\", \"Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2018/03/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12543\", \"logical_representation\": [\"2018/03/14\", \"Nora, Piper, Lydia\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Nora, Piper, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Lydia in the morning on 2018/03/14?\", \"31 minutes\"], [\"who did I talk to on 2018/03/14?\", \"Nora, Piper, Lydia\"], [\"Did I talk to Nora, Piper, Lydia on 2018/03/14?\", \"yes\"], [\"Did I talk to anyone on 2018/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/17\": {\"breakfast\": {\"eid\": \"e12552\", \"logical_representation\": [\"2018/03/17\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/03/17?\", \"Kayden, Carter\"], [\"what did I eat for breakfast on 2018/03/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12553\", \"logical_representation\": [\"2018/03/17\", \"dinner\", \"sandwich\", \"Lydia, Avery, Layla, Olivia, Piper\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/03/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12554\", \"logical_representation\": [\"2018/03/17\", \"Hazel, Nora\", \"in the morning\", \"16 minutes\"], \"text_template_based\": \"I talked to Hazel, Nora for 16 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora in the morning on 2018/03/17?\", \"16 minutes\"], [\"who did I talk to on 2018/03/17?\", \"Hazel, Nora\"], [\"Did I talk to Hazel, Nora on 2018/03/17?\", \"yes\"], [\"Did I talk to anyone on 2018/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/18\": {\"exercise\": {\"eid\": \"e12555\", \"logical_representation\": [\"2018/03/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/03/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12556\", \"logical_representation\": [\"2018/03/18\", \"breakfast\", \"pancakes\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/03/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12557\", \"logical_representation\": [\"2018/03/18\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/03/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12558\", \"logical_representation\": [\"2018/03/18\", \"Layla, Eva, Rylee\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Layla, Eva, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Rylee in the early evening on 2018/03/18?\", \"38 minutes\"], [\"who did I talk to on 2018/03/18?\", \"Layla, Eva, Rylee\"], [\"Did I talk to Layla, Eva, Rylee on 2018/03/18?\", \"yes\"], [\"Did I talk to anyone on 2018/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12559\", \"logical_representation\": [\"2018/03/18\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/03/18?\", \"31 minutes\"], [\"what did I read on 2018/03/18?\", \"social media\"], [\"Did I read on 2018/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/19\": {\"exercise\": {\"eid\": \"e12560\", \"logical_representation\": [\"2018/03/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/03/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12561\", \"logical_representation\": [\"2018/03/19\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Piper, Rylee, Lydia, Hazel, Layla, Avery\"], \"text_template_based\": \"I had breakfast with Kinsley, Piper, Rylee, Lydia, Hazel, Layla, Avery. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/03/19?\", \"Kinsley, Piper, Rylee, Lydia, Hazel, Layla, Avery\"], [\"what did I eat for breakfast on 2018/03/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12562\", \"logical_representation\": [\"2018/03/19\", \"lunch\", \"fish and chips\", \"Claire, Nevaeh, Avery, Hazel, Kinsley, Rylee, Nora, Olivia, Layla\"], \"text_template_based\": \"I had lunch with Claire, Nevaeh, Avery, Hazel, Kinsley, Rylee, Nora, Olivia, Layla. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/03/19?\", \"Claire, Nevaeh, Avery, Hazel, Kinsley, Rylee, Nora, Olivia, Layla\"], [\"what did I eat for lunch on 2018/03/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12563\", \"logical_representation\": [\"2018/03/19\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/03/19?\", \"39 minutes\"], [\"what did I read on 2018/03/19?\", \"news\"], [\"Did I read on 2018/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/20\": {\"exercise\": {\"eid\": \"e12564\", \"logical_representation\": [\"2018/03/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12565\", \"logical_representation\": [\"2018/03/20\", \"breakfast\", \"oatmeal\", \"Jackson\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/03/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12566\", \"logical_representation\": [\"2018/03/20\", \"lunch\", \"tacos\", \"Kayden, Emily\"], \"text_template_based\": \"I had tacos for lunch with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/03/20?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2018/03/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12567\", \"logical_representation\": [\"2018/03/20\", \"dinner\", \"sandwich\", \"Emily, Carter\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/03/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12568\", \"logical_representation\": [\"2018/03/20\", \"Layla, Nevaeh, Hazel\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Layla, Nevaeh, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Hazel in the late afternoon on 2018/03/20?\", \"32 minutes\"], [\"who did I talk to on 2018/03/20?\", \"Layla, Nevaeh, Hazel\"], [\"Did I talk to Layla, Nevaeh, Hazel on 2018/03/20?\", \"yes\"], [\"Did I talk to anyone on 2018/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/22\": {\"lunch\": {\"eid\": \"e12572\", \"logical_representation\": [\"2018/03/22\", \"lunch\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I had sushi for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/03/22?\", \"Kayden\"], [\"what did I eat for lunch on 2018/03/22\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12573\", \"logical_representation\": [\"2018/03/22\", \"Layla, Avery, Eva\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Layla, Avery, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Eva in the early evening on 2018/03/22?\", \"12 minutes\"], [\"who did I talk to on 2018/03/22?\", \"Layla, Avery, Eva\"], [\"Did I talk to Layla, Avery, Eva on 2018/03/22?\", \"yes\"], [\"Did I talk to anyone on 2018/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12574\", \"logical_representation\": [\"2018/03/22\", \"a tv series\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/22?\", \"19 minutes\"], [\"what did I watch on tv on 2018/03/22?\", \"a tv series\"], [\"Did I watch tv on 2018/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/23\": {\"exercise\": {\"eid\": \"e12575\", \"logical_representation\": [\"2018/03/23\", \"biking\"], \"text_template_based\": \"I did biking on 2018/03/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/23?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12576\", \"logical_representation\": [\"2018/03/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/03/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12577\", \"logical_representation\": [\"2018/03/23\", \"lunch\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12578\", \"logical_representation\": [\"2018/03/23\", \"news\", \"26 minutes\"], \"text_template_based\": \"I watched news for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/23?\", \"26 minutes\"], [\"what did I watch on tv on 2018/03/23?\", \"news\"], [\"Did I watch tv on 2018/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/24\": {\"breakfast\": {\"eid\": \"e12579\", \"logical_representation\": [\"2018/03/24\", \"breakfast\", \"toast and cheese\", \"Hazel, Claire, Kinsley, Piper, Eva, Nevaeh, Nora, Layla, Avery, Rylee, Piper\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/03/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12580\", \"logical_representation\": [\"2018/03/24\", \"dinner\", \"steak\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had steak for dinner with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/03/24?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2018/03/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12581\", \"logical_representation\": [\"2018/03/24\", \"Rylee, Claire\", \"in the morning\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Rylee, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire in the morning on 2018/03/24?\", \"12 minutes\"], [\"who did I talk to on 2018/03/24?\", \"Rylee, Claire\"], [\"Did I talk to Rylee, Claire on 2018/03/24?\", \"yes\"], [\"Did I talk to anyone on 2018/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12582\", \"logical_representation\": [\"2018/03/24\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/03/24?\", \"12 minutes\"], [\"what did I read on 2018/03/24?\", \"a book\"], [\"Did I read on 2018/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/25\": {\"exercise\": {\"eid\": \"e12583\", \"logical_representation\": [\"2018/03/25\", \"running\"], \"text_template_based\": \"I did running on 2018/03/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12584\", \"logical_representation\": [\"2018/03/25\", \"lunch\", \"sandwich\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12585\", \"logical_representation\": [\"2018/03/25\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/03/25?\", \"19 minutes\"], [\"what did I read on 2018/03/25?\", \"a book\"], [\"Did I read on 2018/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12586\", \"logical_representation\": [\"2018/03/25\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/25?\", \"50 minutes\"], [\"what did I watch on tv on 2018/03/25?\", \"news\"], [\"Did I watch tv on 2018/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/27\": {\"exercise\": {\"eid\": \"e12590\", \"logical_representation\": [\"2018/03/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/03/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12591\", \"logical_representation\": [\"2018/03/27\", \"breakfast\", \"cereals\", \"Andrew, Carter\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/03/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12592\", \"logical_representation\": [\"2018/03/27\", \"lunch\", \"indian food\", \"Carter, Kayden\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12593\", \"logical_representation\": [\"2018/03/27\", \"a documentary\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/27?\", \"48 minutes\"], [\"what did I watch on tv on 2018/03/27?\", \"a documentary\"], [\"Did I watch tv on 2018/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/28\": {\"exercise\": {\"eid\": \"e12594\", \"logical_representation\": [\"2018/03/28\", \"running\"], \"text_template_based\": \"I did running on 2018/03/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12595\", \"logical_representation\": [\"2018/03/28\", \"dinner\", \"steak\", \"Carter, Emily\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/03/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12596\", \"logical_representation\": [\"2018/03/28\", \"Lydia, Piper\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Lydia, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper late in the evening on 2018/03/28?\", \"39 minutes\"], [\"who did I talk to on 2018/03/28?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2018/03/28?\", \"yes\"], [\"Did I talk to anyone on 2018/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12597\", \"logical_representation\": [\"2018/03/28\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/03/28?\", \"37 minutes\"], [\"what did I read on 2018/03/28?\", \"social media\"], [\"Did I read on 2018/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/29\": {\"exercise\": {\"eid\": \"e12598\", \"logical_representation\": [\"2018/03/29\", \"biking\"], \"text_template_based\": \"I did biking on 2018/03/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/29?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12599\", \"logical_representation\": [\"2018/03/29\", \"breakfast\", \"cereals\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had cereals for breakfast with Jackson, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/03/29?\", \"Jackson, Willow, Benjamin\"], [\"what did I eat for breakfast on 2018/03/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12600\", \"logical_representation\": [\"2018/03/29\", \"lunch\", \"indian food\", \"Nora, Avery, Claire, Hazel, Piper, Nevaeh\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12601\", \"logical_representation\": [\"2018/03/29\", \"a movie\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/29?\", \"38 minutes\"], [\"what did I watch on tv on 2018/03/29?\", \"a movie\"], [\"Did I watch tv on 2018/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/30\": {\"exercise\": {\"eid\": \"e12602\", \"logical_representation\": [\"2018/03/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/03/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12603\", \"logical_representation\": [\"2018/03/30\", \"Lydia, Nevaeh, Avery, Layla\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Lydia, Nevaeh, Avery, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Avery, Layla in the late afternoon on 2018/03/30?\", \"45 minutes\"], [\"who did I talk to on 2018/03/30?\", \"Lydia, Nevaeh, Avery, Layla\"], [\"Did I talk to Lydia, Nevaeh, Avery, Layla on 2018/03/30?\", \"yes\"], [\"Did I talk to anyone on 2018/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/01\": {\"exercise\": {\"eid\": \"e12607\", \"logical_representation\": [\"2018/04/01\", \"biking\"], \"text_template_based\": \"I did biking on 2018/04/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/01?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12608\", \"logical_representation\": [\"2018/04/01\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had tacos for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/04/01?\", \"Kayden\"], [\"what did I eat for dinner on 2018/04/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12609\", \"logical_representation\": [\"2018/04/01\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/04/01?\", \"43 minutes\"], [\"what did I read on 2018/04/01?\", \"social media\"], [\"Did I read on 2018/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/03\": {\"exercise\": {\"eid\": \"e12615\", \"logical_representation\": [\"2018/04/03\", \"running\"], \"text_template_based\": \"I did running on 2018/04/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12616\", \"logical_representation\": [\"2018/04/03\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12617\", \"logical_representation\": [\"2018/04/03\", \"lunch\", \"fish and chips\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/04/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12618\", \"logical_representation\": [\"2018/04/03\", \"dinner\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12619\", \"logical_representation\": [\"2018/04/03\", \"Avery, Piper, Piper, Eva\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Avery, Piper, Piper, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Piper, Eva in the morning on 2018/04/03?\", \"6 minutes\"], [\"who did I talk to on 2018/04/03?\", \"Avery, Piper, Piper, Eva\"], [\"Did I talk to Avery, Piper, Piper, Eva on 2018/04/03?\", \"yes\"], [\"Did I talk to anyone on 2018/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12620\", \"logical_representation\": [\"2018/04/03\", \"a tv series\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/03?\", \"29 minutes\"], [\"what did I watch on tv on 2018/04/03?\", \"a tv series\"], [\"Did I watch tv on 2018/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/04\": {\"exercise\": {\"eid\": \"e12621\", \"logical_representation\": [\"2018/04/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/04/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12622\", \"logical_representation\": [\"2018/04/04\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Rylee, Nora, Olivia, Piper, Nevaeh, Kinsley, Avery, Layla, Claire\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Lydia, Rylee, Nora, Olivia, Piper, Nevaeh, Kinsley, Avery, Layla, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/04/04?\", \"Lydia, Rylee, Nora, Olivia, Piper, Nevaeh, Kinsley, Avery, Layla, Claire\"], [\"what did I eat for breakfast on 2018/04/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12623\", \"logical_representation\": [\"2018/04/04\", \"dinner\", \"a burger\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/04\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2018/04/06\": {\"breakfast\": {\"eid\": \"e12626\", \"logical_representation\": [\"2018/04/06\", \"breakfast\", \"toast and cheese\", \"Avery, Claire, Piper, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12627\", \"logical_representation\": [\"2018/04/06\", \"Nora, Layla, Avery\", \"during lunch hours\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Nora, Layla, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Avery during lunch hours on 2018/04/06?\", \"22 minutes\"], [\"who did I talk to on 2018/04/06?\", \"Nora, Layla, Avery\"], [\"Did I talk to Nora, Layla, Avery on 2018/04/06?\", \"yes\"], [\"Did I talk to anyone on 2018/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/07\": {\"lunch\": {\"eid\": \"e12628\", \"logical_representation\": [\"2018/04/07\", \"lunch\", \"tacos\", \"Avery\"], \"text_template_based\": \"I had lunch with Avery. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/04/07?\", \"Avery\"], [\"what did I eat for lunch on 2018/04/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12629\", \"logical_representation\": [\"2018/04/07\", \"dinner\", \"chinese food\", \"Layla, Eva, Avery\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2018/04/08\": {\"exercise\": {\"eid\": \"e12630\", \"logical_representation\": [\"2018/04/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/04/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12631\", \"logical_representation\": [\"2018/04/08\", \"a documentary\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/08?\", \"28 minutes\"], [\"what did I watch on tv on 2018/04/08?\", \"a documentary\"], [\"Did I watch tv on 2018/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/09\": {\"exercise\": {\"eid\": \"e12632\", \"logical_representation\": [\"2018/04/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/04/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12633\", \"logical_representation\": [\"2018/04/09\", \"breakfast\", \"oatmeal\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12634\", \"logical_representation\": [\"2018/04/09\", \"dinner\", \"a burger\", \"Avery, Eva, Hazel, Rylee, Nora, Kinsley, Lydia, Layla, Piper, Claire, Nevaeh, Piper\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12635\", \"logical_representation\": [\"2018/04/09\", \"Rylee, Avery\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Rylee, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery in the late afternoon on 2018/04/09?\", \"15 minutes\"], [\"who did I talk to on 2018/04/09?\", \"Rylee, Avery\"], [\"Did I talk to Rylee, Avery on 2018/04/09?\", \"yes\"], [\"Did I talk to anyone on 2018/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/10\": {\"chat1\": {\"eid\": \"e12636\", \"logical_representation\": [\"2018/04/10\", \"Rylee\", \"during lunch hours\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2018/04/10?\", \"52 minutes\"], [\"who did I talk to on 2018/04/10?\", \"Rylee\"], [\"Did I talk to Rylee on 2018/04/10?\", \"yes\"], [\"Did I talk to anyone on 2018/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/11\": {\"lunch\": {\"eid\": \"e12637\", \"logical_representation\": [\"2018/04/11\", \"lunch\", \"sushi\", \"Willow\"], \"text_template_based\": \"I had lunch with Willow. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/04/11?\", \"Willow\"], [\"what did I eat for lunch on 2018/04/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12638\", \"logical_representation\": [\"2018/04/11\", \"Avery, Hazel, Layla\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Avery, Hazel, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Layla in the morning on 2018/04/11?\", \"29 minutes\"], [\"who did I talk to on 2018/04/11?\", \"Avery, Hazel, Layla\"], [\"Did I talk to Avery, Hazel, Layla on 2018/04/11?\", \"yes\"], [\"Did I talk to anyone on 2018/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12639\", \"logical_representation\": [\"2018/04/11\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/04/11?\", \"25 minutes\"], [\"what did I read on 2018/04/11?\", \"a book\"], [\"Did I read on 2018/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/13\": {\"exercise\": {\"eid\": \"e12647\", \"logical_representation\": [\"2018/04/13\", \"biking\"], \"text_template_based\": \"I did biking on 2018/04/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12648\", \"logical_representation\": [\"2018/04/13\", \"lunch\", \"pasta\", \"Nora, Piper, Lydia, Claire, Eva, Kinsley, Layla, Olivia, Piper, Rylee, Avery, Nevaeh, Hazel\"], \"text_template_based\": \"I had pasta for lunch with Nora, Piper, Lydia, Claire, Eva, Kinsley, Layla, Olivia, Piper, Rylee, Avery, Nevaeh, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/04/13?\", \"Nora, Piper, Lydia, Claire, Eva, Kinsley, Layla, Olivia, Piper, Rylee, Avery, Nevaeh, Hazel\"], [\"what did I eat for lunch on 2018/04/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12649\", \"logical_representation\": [\"2018/04/13\", \"dinner\", \"sandwich\", \"Eva, Nevaeh, Piper, Lydia, Layla, Olivia, Hazel, Rylee, Kinsley, Claire, Piper\"], \"text_template_based\": \"I had sandwich for dinner with Eva, Nevaeh, Piper, Lydia, Layla, Olivia, Hazel, Rylee, Kinsley, Claire, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/04/13?\", \"Eva, Nevaeh, Piper, Lydia, Layla, Olivia, Hazel, Rylee, Kinsley, Claire, Piper\"], [\"what did I eat for dinner on 2018/04/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12650\", \"logical_representation\": [\"2018/04/13\", \"Piper, Nevaeh, Lydia, Eva\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Lydia, Eva for 55 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Lydia, Eva in the morning on 2018/04/13?\", \"55 minutes\"], [\"who did I talk to on 2018/04/13?\", \"Piper, Nevaeh, Lydia, Eva\"], [\"Did I talk to Piper, Nevaeh, Lydia, Eva on 2018/04/13?\", \"yes\"], [\"Did I talk to anyone on 2018/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/14\": {\"exercise\": {\"eid\": \"e12651\", \"logical_representation\": [\"2018/04/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/04/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12652\", \"logical_representation\": [\"2018/04/14\", \"breakfast\", \"cereals\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12653\", \"logical_representation\": [\"2018/04/14\", \"dinner\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12654\", \"logical_representation\": [\"2018/04/14\", \"Rylee, Avery\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery for 53 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery during lunch hours on 2018/04/14?\", \"53 minutes\"], [\"who did I talk to on 2018/04/14?\", \"Rylee, Avery\"], [\"Did I talk to Rylee, Avery on 2018/04/14?\", \"yes\"], [\"Did I talk to anyone on 2018/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12655\", \"logical_representation\": [\"2018/04/14\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I watched a tv series for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/14?\", \"50 minutes\"], [\"what did I watch on tv on 2018/04/14?\", \"a tv series\"], [\"Did I watch tv on 2018/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/15\": {\"breakfast\": {\"eid\": \"e12656\", \"logical_representation\": [\"2018/04/15\", \"breakfast\", \"cereals\", \"Nora, Kinsley, Avery, Eva, Hazel, Nevaeh, Olivia, Layla\"], \"text_template_based\": \"I had cereals for breakfast with Nora, Kinsley, Avery, Eva, Hazel, Nevaeh, Olivia, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/04/15?\", \"Nora, Kinsley, Avery, Eva, Hazel, Nevaeh, Olivia, Layla\"], [\"what did I eat for breakfast on 2018/04/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12657\", \"logical_representation\": [\"2018/04/15\", \"dinner\", \"chinese food\", \"Olivia, Nevaeh, Rylee, Piper, Kinsley, Piper, Avery, Hazel, Claire, Nora, Eva, Lydia\"], \"text_template_based\": \"I had dinner with Olivia, Nevaeh, Rylee, Piper, Kinsley, Piper, Avery, Hazel, Claire, Nora, Eva, Lydia. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/04/15?\", \"Olivia, Nevaeh, Rylee, Piper, Kinsley, Piper, Avery, Hazel, Claire, Nora, Eva, Lydia\"], [\"what did I eat for dinner on 2018/04/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12658\", \"logical_representation\": [\"2018/04/15\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/04/15?\", \"48 minutes\"], [\"what did I read on 2018/04/15?\", \"a book\"], [\"Did I read on 2018/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/16\": {\"exercise\": {\"eid\": \"e12659\", \"logical_representation\": [\"2018/04/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/04/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12660\", \"logical_representation\": [\"2018/04/16\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12661\", \"logical_representation\": [\"2018/04/16\", \"dinner\", \"sushi\", \"Willow, Avery\"], \"text_template_based\": \"I had sushi for dinner with Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/04/16?\", \"Willow, Avery\"], [\"what did I eat for dinner on 2018/04/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12662\", \"logical_representation\": [\"2018/04/16\", \"Nora\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2018/04/16?\", \"26 minutes\"], [\"who did I talk to on 2018/04/16?\", \"Nora\"], [\"Did I talk to Nora on 2018/04/16?\", \"yes\"], [\"Did I talk to anyone on 2018/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12663\", \"logical_representation\": [\"2018/04/16\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I watched a documentary for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/16?\", \"51 minutes\"], [\"what did I watch on tv on 2018/04/16?\", \"a documentary\"], [\"Did I watch tv on 2018/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/17\": {\"exercise\": {\"eid\": \"e12664\", \"logical_representation\": [\"2018/04/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/04/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12665\", \"logical_representation\": [\"2018/04/17\", \"lunch\", \"sushi\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had sushi for lunch with Jackson, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/04/17?\", \"Jackson, Willow, Benjamin\"], [\"what did I eat for lunch on 2018/04/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12666\", \"logical_representation\": [\"2018/04/17\", \"dinner\", \"sandwich\", \"Kinsley, Hazel, Claire, Nevaeh, Piper, Olivia, Nora, Layla, Lydia\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12667\", \"logical_representation\": [\"2018/04/17\", \"Claire, Kinsley, Piper\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Claire, Kinsley, Piper for 6 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Piper in the late afternoon on 2018/04/17?\", \"6 minutes\"], [\"who did I talk to on 2018/04/17?\", \"Claire, Kinsley, Piper\"], [\"Did I talk to Claire, Kinsley, Piper on 2018/04/17?\", \"yes\"], [\"Did I talk to anyone on 2018/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12668\", \"logical_representation\": [\"2018/04/17\", \"a documentary\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/17?\", \"18 minutes\"], [\"what did I watch on tv on 2018/04/17?\", \"a documentary\"], [\"Did I watch tv on 2018/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/18\": {\"breakfast\": {\"eid\": \"e12669\", \"logical_representation\": [\"2018/04/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12670\", \"logical_representation\": [\"2018/04/18\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/18?\", \"22 minutes\"], [\"what did I watch on tv on 2018/04/18?\", \"news\"], [\"Did I watch tv on 2018/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/19\": {\"breakfast\": {\"eid\": \"e12671\", \"logical_representation\": [\"2018/04/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Olivia, Rylee, Claire\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12672\", \"logical_representation\": [\"2018/04/19\", \"lunch\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/04/19?\", \"Kayden\"], [\"what did I eat for lunch on 2018/04/19\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12673\", \"logical_representation\": [\"2018/04/19\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/19?\", \"28 minutes\"], [\"what did I watch on tv on 2018/04/19?\", \"a movie\"], [\"Did I watch tv on 2018/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/20\": {\"breakfast\": {\"eid\": \"e12674\", \"logical_representation\": [\"2018/04/20\", \"breakfast\", \"oatmeal\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12675\", \"logical_representation\": [\"2018/04/20\", \"lunch\", \"fish and chips\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/04/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12676\", \"logical_representation\": [\"2018/04/20\", \"dinner\", \"pasta\", \"Piper, Nora, Olivia\"], \"text_template_based\": \"I had dinner with Piper, Nora, Olivia. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/04/20?\", \"Piper, Nora, Olivia\"], [\"what did I eat for dinner on 2018/04/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12677\", \"logical_representation\": [\"2018/04/20\", \"Lydia, Hazel, Claire, Piper\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Lydia, Hazel, Claire, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Claire, Piper in the morning on 2018/04/20?\", \"55 minutes\"], [\"who did I talk to on 2018/04/20?\", \"Lydia, Hazel, Claire, Piper\"], [\"Did I talk to Lydia, Hazel, Claire, Piper on 2018/04/20?\", \"yes\"], [\"Did I talk to anyone on 2018/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12678\", \"logical_representation\": [\"2018/04/20\", \"Nevaeh, Piper, Claire\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Nevaeh, Piper, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Claire in the early evening on 2018/04/20?\", \"39 minutes\"], [\"who did I talk to on 2018/04/20?\", \"Nevaeh, Piper, Claire\"], [\"Did I talk to Nevaeh, Piper, Claire on 2018/04/20?\", \"yes\"], [\"Did I talk to anyone on 2018/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/21\": {\"exercise\": {\"eid\": \"e12679\", \"logical_representation\": [\"2018/04/21\", \"running\"], \"text_template_based\": \"I did running on 2018/04/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12680\", \"logical_representation\": [\"2018/04/21\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12681\", \"logical_representation\": [\"2018/04/21\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/21?\", \"28 minutes\"], [\"what did I watch on tv on 2018/04/21?\", \"a tv series\"], [\"Did I watch tv on 2018/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/22\": {\"exercise\": {\"eid\": \"e12682\", \"logical_representation\": [\"2018/04/22\", \"biking\"], \"text_template_based\": \"I did biking on 2018/04/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12683\", \"logical_representation\": [\"2018/04/22\", \"breakfast\", \"cereals\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12684\", \"logical_representation\": [\"2018/04/22\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/04/22?\", \"38 minutes\"], [\"what did I read on 2018/04/22?\", \"news\"], [\"Did I read on 2018/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/23\": {\"exercise\": {\"eid\": \"e12685\", \"logical_representation\": [\"2018/04/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/04/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12686\", \"logical_representation\": [\"2018/04/23\", \"breakfast\", \"pancakes\", \"Nora, Lydia, Avery, Piper, Olivia, Layla, Piper, Rylee, Nevaeh, Eva\"], \"text_template_based\": \"I had breakfast with Nora, Lydia, Avery, Piper, Olivia, Layla, Piper, Rylee, Nevaeh, Eva. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/04/23?\", \"Nora, Lydia, Avery, Piper, Olivia, Layla, Piper, Rylee, Nevaeh, Eva\"], [\"what did I eat for breakfast on 2018/04/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12687\", \"logical_representation\": [\"2018/04/23\", \"dinner\", \"steak\", \"Layla, Piper\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12688\", \"logical_representation\": [\"2018/04/23\", \"Nora, Nevaeh, Piper, Kinsley\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Nora, Nevaeh, Piper, Kinsley for 35 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Piper, Kinsley in the early evening on 2018/04/23?\", \"35 minutes\"], [\"who did I talk to on 2018/04/23?\", \"Nora, Nevaeh, Piper, Kinsley\"], [\"Did I talk to Nora, Nevaeh, Piper, Kinsley on 2018/04/23?\", \"yes\"], [\"Did I talk to anyone on 2018/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12689\", \"logical_representation\": [\"2018/04/23\", \"news\", \"29 minutes\"], \"text_template_based\": \"I watched news for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/23?\", \"29 minutes\"], [\"what did I watch on tv on 2018/04/23?\", \"news\"], [\"Did I watch tv on 2018/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/24\": {\"lunch\": {\"eid\": \"e12690\", \"logical_representation\": [\"2018/04/24\", \"lunch\", \"fish and chips\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/04/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12691\", \"logical_representation\": [\"2018/04/24\", \"dinner\", \"tacos\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12692\", \"logical_representation\": [\"2018/04/24\", \"Kinsley, Piper, Lydia, Rylee\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Kinsley, Piper, Lydia, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Lydia, Rylee during lunch hours on 2018/04/24?\", \"55 minutes\"], [\"who did I talk to on 2018/04/24?\", \"Kinsley, Piper, Lydia, Rylee\"], [\"Did I talk to Kinsley, Piper, Lydia, Rylee on 2018/04/24?\", \"yes\"], [\"Did I talk to anyone on 2018/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12693\", \"logical_representation\": [\"2018/04/24\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/24?\", \"44 minutes\"], [\"what did I watch on tv on 2018/04/24?\", \"a documentary\"], [\"Did I watch tv on 2018/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/25\": {\"exercise\": {\"eid\": \"e12694\", \"logical_representation\": [\"2018/04/25\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/04/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/25?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12695\", \"logical_representation\": [\"2018/04/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12696\", \"logical_representation\": [\"2018/04/25\", \"a documentary\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/25?\", \"15 minutes\"], [\"what did I watch on tv on 2018/04/25?\", \"a documentary\"], [\"Did I watch tv on 2018/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/27\": {\"breakfast\": {\"eid\": \"e12702\", \"logical_representation\": [\"2018/04/27\", \"breakfast\", \"oatmeal\", \"Jackson, Avery\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12703\", \"logical_representation\": [\"2018/04/27\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/27?\", \"18 minutes\"], [\"what did I watch on tv on 2018/04/27?\", \"news\"], [\"Did I watch tv on 2018/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/28\": {\"breakfast\": {\"eid\": \"e12704\", \"logical_representation\": [\"2018/04/28\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Willow, Avery, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/04/28?\", \"Willow, Avery, Jackson, Benjamin\"], [\"what did I eat for breakfast on 2018/04/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12705\", \"logical_representation\": [\"2018/04/28\", \"lunch\", \"sushi\", \"Nora, Hazel, Eva, Piper, Piper\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/04/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12706\", \"logical_representation\": [\"2018/04/28\", \"Claire, Layla, Nora\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Claire, Layla, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Nora in the early evening on 2018/04/28?\", \"47 minutes\"], [\"who did I talk to on 2018/04/28?\", \"Claire, Layla, Nora\"], [\"Did I talk to Claire, Layla, Nora on 2018/04/28?\", \"yes\"], [\"Did I talk to anyone on 2018/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12707\", \"logical_representation\": [\"2018/04/28\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/04/28?\", \"44 minutes\"], [\"what did I read on 2018/04/28?\", \"social media\"], [\"Did I read on 2018/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12708\", \"logical_representation\": [\"2018/04/28\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I watched a tv series for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/28?\", \"42 minutes\"], [\"what did I watch on tv on 2018/04/28?\", \"a tv series\"], [\"Did I watch tv on 2018/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/29\": {\"breakfast\": {\"eid\": \"e12709\", \"logical_representation\": [\"2018/04/29\", \"breakfast\", \"cereals\", \"Kinsley\"], \"text_template_based\": \"I had cereals for breakfast with Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/04/29?\", \"Kinsley\"], [\"what did I eat for breakfast on 2018/04/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12710\", \"logical_representation\": [\"2018/04/29\", \"lunch\", \"sushi\", \"Andrew, Carter\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/04/29\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12711\", \"logical_representation\": [\"2018/04/29\", \"Olivia, Hazel\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Olivia, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel late in the evening on 2018/04/29?\", \"28 minutes\"], [\"who did I talk to on 2018/04/29?\", \"Olivia, Hazel\"], [\"Did I talk to Olivia, Hazel on 2018/04/29?\", \"yes\"], [\"Did I talk to anyone on 2018/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12712\", \"logical_representation\": [\"2018/04/29\", \"Nevaeh, Kinsley\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Kinsley for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley during lunch hours on 2018/04/29?\", \"26 minutes\"], [\"who did I talk to on 2018/04/29?\", \"Nevaeh, Kinsley\"], [\"Did I talk to Nevaeh, Kinsley on 2018/04/29?\", \"yes\"], [\"Did I talk to anyone on 2018/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12713\", \"logical_representation\": [\"2018/04/29\", \"a book\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/04/29?\", \"31 minutes\"], [\"what did I read on 2018/04/29?\", \"a book\"], [\"Did I read on 2018/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/30\": {\"exercise\": {\"eid\": \"e12714\", \"logical_representation\": [\"2018/04/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/04/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12715\", \"logical_representation\": [\"2018/04/30\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/30\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12716\", \"logical_representation\": [\"2018/04/30\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/04/30?\", \"11 minutes\"], [\"what did I read on 2018/04/30?\", \"a book\"], [\"Did I read on 2018/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12717\", \"logical_representation\": [\"2018/04/30\", \"news\", \"46 minutes\"], \"text_template_based\": \"I watched news for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/30?\", \"46 minutes\"], [\"what did I watch on tv on 2018/04/30?\", \"news\"], [\"Did I watch tv on 2018/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/01\": {\"exercise\": {\"eid\": \"e12718\", \"logical_representation\": [\"2018/05/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/05/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12719\", \"logical_representation\": [\"2018/05/01\", \"breakfast\", \"cereals\", \"Lydia, Olivia, Kinsley, Claire, Avery, Nora, Nevaeh, Layla, Rylee, Hazel\"], \"text_template_based\": \"I had breakfast with Lydia, Olivia, Kinsley, Claire, Avery, Nora, Nevaeh, Layla, Rylee, Hazel. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/05/01?\", \"Lydia, Olivia, Kinsley, Claire, Avery, Nora, Nevaeh, Layla, Rylee, Hazel\"], [\"what did I eat for breakfast on 2018/05/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12720\", \"logical_representation\": [\"2018/05/01\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/05/01?\", \"35 minutes\"], [\"what did I read on 2018/05/01?\", \"a book\"], [\"Did I read on 2018/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12721\", \"logical_representation\": [\"2018/05/01\", \"a tv series\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/01?\", \"41 minutes\"], [\"what did I watch on tv on 2018/05/01?\", \"a tv series\"], [\"Did I watch tv on 2018/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/02\": {\"breakfast\": {\"eid\": \"e12722\", \"logical_representation\": [\"2018/05/02\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Carter, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/05/02?\", \"Carter, Emily, Andrew\"], [\"what did I eat for breakfast on 2018/05/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12723\", \"logical_representation\": [\"2018/05/02\", \"dinner\", \"indian food\", \"Nora, Nevaeh, Eva, Avery, Layla\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12724\", \"logical_representation\": [\"2018/05/02\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/05/02?\", \"51 minutes\"], [\"what did I read on 2018/05/02?\", \"news\"], [\"Did I read on 2018/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12725\", \"logical_representation\": [\"2018/05/02\", \"news\", \"28 minutes\"], \"text_template_based\": \"I watched news for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/02?\", \"28 minutes\"], [\"what did I watch on tv on 2018/05/02?\", \"news\"], [\"Did I watch tv on 2018/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/03\": {\"exercise\": {\"eid\": \"e12726\", \"logical_representation\": [\"2018/05/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/05/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12727\", \"logical_representation\": [\"2018/05/03\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/03\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12728\", \"logical_representation\": [\"2018/05/03\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/05/03?\", \"9 minutes\"], [\"what did I read on 2018/05/03?\", \"social media\"], [\"Did I read on 2018/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12729\", \"logical_representation\": [\"2018/05/03\", \"a tv series\", \"29 minutes\"], \"text_template_based\": \"I watched a tv series for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/03?\", \"29 minutes\"], [\"what did I watch on tv on 2018/05/03?\", \"a tv series\"], [\"Did I watch tv on 2018/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/04\": {\"exercise\": {\"eid\": \"e12730\", \"logical_representation\": [\"2018/05/04\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/05/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/04?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12731\", \"logical_representation\": [\"2018/05/04\", \"Lydia\", \"in the early evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Lydia for 13 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2018/05/04?\", \"13 minutes\"], [\"who did I talk to on 2018/05/04?\", \"Lydia\"], [\"Did I talk to Lydia on 2018/05/04?\", \"yes\"], [\"Did I talk to anyone on 2018/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12732\", \"logical_representation\": [\"2018/05/04\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/05/04?\", \"54 minutes\"], [\"what did I read on 2018/05/04?\", \"news\"], [\"Did I read on 2018/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/05\": {\"exercise\": {\"eid\": \"e12733\", \"logical_representation\": [\"2018/05/05\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/05/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/05?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12734\", \"logical_representation\": [\"2018/05/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Kayden. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/05/05?\", \"Carter, Andrew, Kayden\"], [\"what did I eat for breakfast on 2018/05/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12735\", \"logical_representation\": [\"2018/05/05\", \"dinner\", \"sushi\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12736\", \"logical_representation\": [\"2018/05/05\", \"Nevaeh\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2018/05/05?\", \"53 minutes\"], [\"who did I talk to on 2018/05/05?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2018/05/05?\", \"yes\"], [\"Did I talk to anyone on 2018/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12737\", \"logical_representation\": [\"2018/05/05\", \"Lydia, Kinsley\", \"in the early afternoon\", \"30 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley for 30 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley in the early afternoon on 2018/05/05?\", \"30 minutes\"], [\"who did I talk to on 2018/05/05?\", \"Lydia, Kinsley\"], [\"Did I talk to Lydia, Kinsley on 2018/05/05?\", \"yes\"], [\"Did I talk to anyone on 2018/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12738\", \"logical_representation\": [\"2018/05/05\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/05?\", \"27 minutes\"], [\"what did I watch on tv on 2018/05/05?\", \"news\"], [\"Did I watch tv on 2018/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/07\": {\"exercise\": {\"eid\": \"e12744\", \"logical_representation\": [\"2018/05/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/05/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12745\", \"logical_representation\": [\"2018/05/07\", \"breakfast\", \"cereals\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12746\", \"logical_representation\": [\"2018/05/07\", \"Nevaeh, Nora\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Nevaeh, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora in the morning on 2018/05/07?\", \"35 minutes\"], [\"who did I talk to on 2018/05/07?\", \"Nevaeh, Nora\"], [\"Did I talk to Nevaeh, Nora on 2018/05/07?\", \"yes\"], [\"Did I talk to anyone on 2018/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12747\", \"logical_representation\": [\"2018/05/07\", \"Avery, Claire\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Avery, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire in the late afternoon on 2018/05/07?\", \"32 minutes\"], [\"who did I talk to on 2018/05/07?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2018/05/07?\", \"yes\"], [\"Did I talk to anyone on 2018/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12748\", \"logical_representation\": [\"2018/05/07\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/05/07?\", \"55 minutes\"], [\"what did I read on 2018/05/07?\", \"news\"], [\"Did I read on 2018/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12749\", \"logical_representation\": [\"2018/05/07\", \"a tv series\", \"44 minutes\"], \"text_template_based\": \"I watched a tv series for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/07?\", \"44 minutes\"], [\"what did I watch on tv on 2018/05/07?\", \"a tv series\"], [\"Did I watch tv on 2018/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/08\": {\"breakfast\": {\"eid\": \"e12750\", \"logical_representation\": [\"2018/05/08\", \"breakfast\", \"pancakes\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I had pancakes for breakfast with Jackson, Willow, Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/05/08?\", \"Jackson, Willow, Avery, Benjamin\"], [\"what did I eat for breakfast on 2018/05/08\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12751\", \"logical_representation\": [\"2018/05/08\", \"dinner\", \"sandwich\", \"Kinsley, Eva, Claire\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12752\", \"logical_representation\": [\"2018/05/08\", \"Nora, Kinsley, Layla, Nevaeh\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Nora, Kinsley, Layla, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Layla, Nevaeh in the morning on 2018/05/08?\", \"46 minutes\"], [\"who did I talk to on 2018/05/08?\", \"Nora, Kinsley, Layla, Nevaeh\"], [\"Did I talk to Nora, Kinsley, Layla, Nevaeh on 2018/05/08?\", \"yes\"], [\"Did I talk to anyone on 2018/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12753\", \"logical_representation\": [\"2018/05/08\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/05/08?\", \"54 minutes\"], [\"what did I read on 2018/05/08?\", \"social media\"], [\"Did I read on 2018/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/09\": {\"exercise\": {\"eid\": \"e12754\", \"logical_representation\": [\"2018/05/09\", \"running\"], \"text_template_based\": \"I did running on 2018/05/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/09?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12755\", \"logical_representation\": [\"2018/05/09\", \"dinner\", \"sushi\", \"Kinsley, Rylee, Nevaeh, Eva, Claire, Avery, Olivia, Nora, Piper, Lydia, Piper, Hazel\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12756\", \"logical_representation\": [\"2018/05/09\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/05/09?\", \"14 minutes\"], [\"what did I read on 2018/05/09?\", \"social media\"], [\"Did I read on 2018/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12757\", \"logical_representation\": [\"2018/05/09\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/09?\", \"5 minutes\"], [\"what did I watch on tv on 2018/05/09?\", \"a movie\"], [\"Did I watch tv on 2018/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/11\": {\"dinner\": {\"eid\": \"e12762\", \"logical_representation\": [\"2018/05/11\", \"dinner\", \"sushi\", \"Nevaeh, Piper, Rylee, Olivia, Avery, Nora, Eva, Claire, Hazel, Lydia\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12763\", \"logical_representation\": [\"2018/05/11\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/05/11?\", \"51 minutes\"], [\"what did I read on 2018/05/11?\", \"a book\"], [\"Did I read on 2018/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12764\", \"logical_representation\": [\"2018/05/11\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/11?\", \"43 minutes\"], [\"what did I watch on tv on 2018/05/11?\", \"a documentary\"], [\"Did I watch tv on 2018/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/12\": {\"exercise\": {\"eid\": \"e12765\", \"logical_representation\": [\"2018/05/12\", \"biking\"], \"text_template_based\": \"I did biking on 2018/05/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/12?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12766\", \"logical_representation\": [\"2018/05/12\", \"lunch\", \"steak\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had steak for lunch with Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/05/12?\", \"Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2018/05/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12767\", \"logical_representation\": [\"2018/05/12\", \"Piper, Eva, Rylee\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Rylee for 30 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Rylee late in the evening on 2018/05/12?\", \"30 minutes\"], [\"who did I talk to on 2018/05/12?\", \"Piper, Eva, Rylee\"], [\"Did I talk to Piper, Eva, Rylee on 2018/05/12?\", \"yes\"], [\"Did I talk to anyone on 2018/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12768\", \"logical_representation\": [\"2018/05/12\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/05/12?\", \"55 minutes\"], [\"what did I read on 2018/05/12?\", \"news\"], [\"Did I read on 2018/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12769\", \"logical_representation\": [\"2018/05/12\", \"news\", \"33 minutes\"], \"text_template_based\": \"I watched news for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/12?\", \"33 minutes\"], [\"what did I watch on tv on 2018/05/12?\", \"news\"], [\"Did I watch tv on 2018/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/13\": {\"breakfast\": {\"eid\": \"e12770\", \"logical_representation\": [\"2018/05/13\", \"breakfast\", \"oatmeal\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had oatmeal for breakfast with Emily, Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/05/13?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2018/05/13\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12771\", \"logical_representation\": [\"2018/05/13\", \"dinner\", \"indian food\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12772\", \"logical_representation\": [\"2018/05/13\", \"Nora, Piper\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Nora, Piper for 27 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the early evening on 2018/05/13?\", \"27 minutes\"], [\"who did I talk to on 2018/05/13?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2018/05/13?\", \"yes\"], [\"Did I talk to anyone on 2018/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12773\", \"logical_representation\": [\"2018/05/13\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/05/13?\", \"38 minutes\"], [\"what did I read on 2018/05/13?\", \"social media\"], [\"Did I read on 2018/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12774\", \"logical_representation\": [\"2018/05/13\", \"a documentary\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/13?\", \"24 minutes\"], [\"what did I watch on tv on 2018/05/13?\", \"a documentary\"], [\"Did I watch tv on 2018/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/14\": {\"breakfast\": {\"eid\": \"e12775\", \"logical_representation\": [\"2018/05/14\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12776\", \"logical_representation\": [\"2018/05/14\", \"lunch\", \"steak\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had steak for lunch with Andrew, Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/05/14?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for lunch on 2018/05/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12777\", \"logical_representation\": [\"2018/05/14\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/05/14?\", \"53 minutes\"], [\"what did I read on 2018/05/14?\", \"a book\"], [\"Did I read on 2018/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12778\", \"logical_representation\": [\"2018/05/14\", \"a movie\", \"24 minutes\"], \"text_template_based\": \"I watched a movie for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/14?\", \"24 minutes\"], [\"what did I watch on tv on 2018/05/14?\", \"a movie\"], [\"Did I watch tv on 2018/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/15\": {\"exercise\": {\"eid\": \"e12779\", \"logical_representation\": [\"2018/05/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/05/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12780\", \"logical_representation\": [\"2018/05/15\", \"breakfast\", \"oatmeal\", \"Benjamin, Avery\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12781\", \"logical_representation\": [\"2018/05/15\", \"dinner\", \"indian food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had indian food for dinner with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/05/15?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2018/05/15\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2018/05/17\": {\"dinner\": {\"eid\": \"e12786\", \"logical_representation\": [\"2018/05/17\", \"dinner\", \"tacos\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12787\", \"logical_representation\": [\"2018/05/17\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/05/17?\", \"9 minutes\"], [\"what did I read on 2018/05/17?\", \"social media\"], [\"Did I read on 2018/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12788\", \"logical_representation\": [\"2018/05/17\", \"news\", \"10 minutes\"], \"text_template_based\": \"I watched news for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/17?\", \"10 minutes\"], [\"what did I watch on tv on 2018/05/17?\", \"news\"], [\"Did I watch tv on 2018/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/18\": {\"watch tv\": {\"eid\": \"e12789\", \"logical_representation\": [\"2018/05/18\", \"news\", \"8 minutes\"], \"text_template_based\": \"I watched news for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/18?\", \"8 minutes\"], [\"what did I watch on tv on 2018/05/18?\", \"news\"], [\"Did I watch tv on 2018/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/19\": {\"breakfast\": {\"eid\": \"e12790\", \"logical_representation\": [\"2018/05/19\", \"breakfast\", \"toast and cheese\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/05/19?\", \"Andrew, Kayden\"], [\"what did I eat for breakfast on 2018/05/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12791\", \"logical_representation\": [\"2018/05/19\", \"Piper, Eva, Nora\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Nora for 30 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Nora in the late afternoon on 2018/05/19?\", \"30 minutes\"], [\"who did I talk to on 2018/05/19?\", \"Piper, Eva, Nora\"], [\"Did I talk to Piper, Eva, Nora on 2018/05/19?\", \"yes\"], [\"Did I talk to anyone on 2018/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12792\", \"logical_representation\": [\"2018/05/19\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/05/19?\", \"32 minutes\"], [\"what did I read on 2018/05/19?\", \"a book\"], [\"Did I read on 2018/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12793\", \"logical_representation\": [\"2018/05/19\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I watched a documentary for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/19?\", \"52 minutes\"], [\"what did I watch on tv on 2018/05/19?\", \"a documentary\"], [\"Did I watch tv on 2018/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/21\": {\"chat0\": {\"eid\": \"e12796\", \"logical_representation\": [\"2018/05/21\", \"Hazel, Lydia, Layla\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia, Layla for 26 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Layla late in the evening on 2018/05/21?\", \"26 minutes\"], [\"who did I talk to on 2018/05/21?\", \"Hazel, Lydia, Layla\"], [\"Did I talk to Hazel, Lydia, Layla on 2018/05/21?\", \"yes\"], [\"Did I talk to anyone on 2018/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12797\", \"logical_representation\": [\"2018/05/21\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I watched a documentary for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/21?\", \"23 minutes\"], [\"what did I watch on tv on 2018/05/21?\", \"a documentary\"], [\"Did I watch tv on 2018/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/23\": {\"dinner\": {\"eid\": \"e12802\", \"logical_representation\": [\"2018/05/23\", \"dinner\", \"indian food\", \"Lydia, Olivia, Rylee, Hazel, Nevaeh, Nora\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12803\", \"logical_representation\": [\"2018/05/23\", \"Nevaeh, Nora, Claire\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Nevaeh, Nora, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Claire in the late afternoon on 2018/05/23?\", \"17 minutes\"], [\"who did I talk to on 2018/05/23?\", \"Nevaeh, Nora, Claire\"], [\"Did I talk to Nevaeh, Nora, Claire on 2018/05/23?\", \"yes\"], [\"Did I talk to anyone on 2018/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/24\": {\"breakfast\": {\"eid\": \"e12804\", \"logical_representation\": [\"2018/05/24\", \"breakfast\", \"pancakes\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12805\", \"logical_representation\": [\"2018/05/24\", \"dinner\", \"chinese food\", \"Avery\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12806\", \"logical_representation\": [\"2018/05/24\", \"Claire, Eva, Kinsley\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Claire, Eva, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Kinsley in the morning on 2018/05/24?\", \"32 minutes\"], [\"who did I talk to on 2018/05/24?\", \"Claire, Eva, Kinsley\"], [\"Did I talk to Claire, Eva, Kinsley on 2018/05/24?\", \"yes\"], [\"Did I talk to anyone on 2018/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12807\", \"logical_representation\": [\"2018/05/24\", \"Hazel\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Hazel for 24 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2018/05/24?\", \"24 minutes\"], [\"who did I talk to on 2018/05/24?\", \"Hazel\"], [\"Did I talk to Hazel on 2018/05/24?\", \"yes\"], [\"Did I talk to anyone on 2018/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/25\": {\"exercise\": {\"eid\": \"e12808\", \"logical_representation\": [\"2018/05/25\", \"biking\"], \"text_template_based\": \"I did biking on 2018/05/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/25?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12809\", \"logical_representation\": [\"2018/05/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Claire, Hazel, Eva, Nora\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12810\", \"logical_representation\": [\"2018/05/25\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I watched a documentary for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/25?\", \"7 minutes\"], [\"what did I watch on tv on 2018/05/25?\", \"a documentary\"], [\"Did I watch tv on 2018/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/26\": {\"breakfast\": {\"eid\": \"e12811\", \"logical_representation\": [\"2018/05/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12812\", \"logical_representation\": [\"2018/05/26\", \"lunch\", \"pasta\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had pasta for lunch with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/05/26?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2018/05/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12813\", \"logical_representation\": [\"2018/05/26\", \"dinner\", \"sushi\", \"Emily, Kayden\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12814\", \"logical_representation\": [\"2018/05/26\", \"Layla\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2018/05/26?\", \"54 minutes\"], [\"who did I talk to on 2018/05/26?\", \"Layla\"], [\"Did I talk to Layla on 2018/05/26?\", \"yes\"], [\"Did I talk to anyone on 2018/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12815\", \"logical_representation\": [\"2018/05/26\", \"Kinsley, Layla\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Kinsley, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla in the early afternoon on 2018/05/26?\", \"29 minutes\"], [\"who did I talk to on 2018/05/26?\", \"Kinsley, Layla\"], [\"Did I talk to Kinsley, Layla on 2018/05/26?\", \"yes\"], [\"Did I talk to anyone on 2018/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12816\", \"logical_representation\": [\"2018/05/26\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/05/26?\", \"48 minutes\"], [\"what did I read on 2018/05/26?\", \"social media\"], [\"Did I read on 2018/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/28\": {\"exercise\": {\"eid\": \"e12821\", \"logical_representation\": [\"2018/05/28\", \"running\"], \"text_template_based\": \"I did running on 2018/05/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12822\", \"logical_representation\": [\"2018/05/28\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/05/28?\", \"50 minutes\"], [\"what did I read on 2018/05/28?\", \"news\"], [\"Did I read on 2018/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/29\": {\"exercise\": {\"eid\": \"e12823\", \"logical_representation\": [\"2018/05/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/05/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12824\", \"logical_representation\": [\"2018/05/29\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12825\", \"logical_representation\": [\"2018/05/29\", \"dinner\", \"sandwich\", \"Kinsley, Piper, Rylee, Hazel, Lydia, Layla, Piper, Olivia, Nora, Avery, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2018/05/31\": {\"breakfast\": {\"eid\": \"e12830\", \"logical_representation\": [\"2018/05/31\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/31\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12831\", \"logical_representation\": [\"2018/05/31\", \"Nora, Avery, Layla\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Nora, Avery, Layla for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery, Layla during lunch hours on 2018/05/31?\", \"31 minutes\"], [\"who did I talk to on 2018/05/31?\", \"Nora, Avery, Layla\"], [\"Did I talk to Nora, Avery, Layla on 2018/05/31?\", \"yes\"], [\"Did I talk to anyone on 2018/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12832\", \"logical_representation\": [\"2018/05/31\", \"Piper, Eva\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Piper, Eva for 34 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva in the late afternoon on 2018/05/31?\", \"34 minutes\"], [\"who did I talk to on 2018/05/31?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2018/05/31?\", \"yes\"], [\"Did I talk to anyone on 2018/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/02\": {\"exercise\": {\"eid\": \"e12836\", \"logical_representation\": [\"2018/06/02\", \"biking\"], \"text_template_based\": \"I did biking on 2018/06/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/02?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12837\", \"logical_representation\": [\"2018/06/02\", \"Nevaeh, Avery, Lydia, Rylee\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Nevaeh, Avery, Lydia, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Lydia, Rylee in the morning on 2018/06/02?\", \"38 minutes\"], [\"who did I talk to on 2018/06/02?\", \"Nevaeh, Avery, Lydia, Rylee\"], [\"Did I talk to Nevaeh, Avery, Lydia, Rylee on 2018/06/02?\", \"yes\"], [\"Did I talk to anyone on 2018/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12838\", \"logical_representation\": [\"2018/06/02\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/06/02?\", \"33 minutes\"], [\"what did I read on 2018/06/02?\", \"a book\"], [\"Did I read on 2018/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12839\", \"logical_representation\": [\"2018/06/02\", \"a tv series\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/02?\", \"30 minutes\"], [\"what did I watch on tv on 2018/06/02?\", \"a tv series\"], [\"Did I watch tv on 2018/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/05\": {\"dinner\": {\"eid\": \"e12849\", \"logical_representation\": [\"2018/06/05\", \"dinner\", \"tacos\", \"Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/06/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12850\", \"logical_representation\": [\"2018/06/05\", \"Hazel, Nevaeh, Claire\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I talked to Hazel, Nevaeh, Claire for 6 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh, Claire during lunch hours on 2018/06/05?\", \"6 minutes\"], [\"who did I talk to on 2018/06/05?\", \"Hazel, Nevaeh, Claire\"], [\"Did I talk to Hazel, Nevaeh, Claire on 2018/06/05?\", \"yes\"], [\"Did I talk to anyone on 2018/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12851\", \"logical_representation\": [\"2018/06/05\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/06/05?\", \"52 minutes\"], [\"what did I read on 2018/06/05?\", \"social media\"], [\"Did I read on 2018/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/06\": {\"breakfast\": {\"eid\": \"e12852\", \"logical_representation\": [\"2018/06/06\", \"breakfast\", \"oatmeal\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/06/06\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12853\", \"logical_representation\": [\"2018/06/06\", \"lunch\", \"indian food\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/06/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12854\", \"logical_representation\": [\"2018/06/06\", \"dinner\", \"steak\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had steak for dinner with Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/06/06?\", \"Emily, Kayden, Carter\"], [\"what did I eat for dinner on 2018/06/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12855\", \"logical_representation\": [\"2018/06/06\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/06/06?\", \"10 minutes\"], [\"what did I read on 2018/06/06?\", \"social media\"], [\"Did I read on 2018/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/07\": {\"exercise\": {\"eid\": \"e12856\", \"logical_representation\": [\"2018/06/07\", \"running\"], \"text_template_based\": \"I did running on 2018/06/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/07?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12857\", \"logical_representation\": [\"2018/06/07\", \"dinner\", \"a burger\", \"Jackson, Willow\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/06/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12858\", \"logical_representation\": [\"2018/06/07\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/06/07?\", \"44 minutes\"], [\"what did I read on 2018/06/07?\", \"a book\"], [\"Did I read on 2018/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12859\", \"logical_representation\": [\"2018/06/07\", \"a tv series\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/07?\", \"41 minutes\"], [\"what did I watch on tv on 2018/06/07?\", \"a tv series\"], [\"Did I watch tv on 2018/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/09\": {\"exercise\": {\"eid\": \"e12864\", \"logical_representation\": [\"2018/06/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/06/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12865\", \"logical_representation\": [\"2018/06/09\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/06/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12866\", \"logical_representation\": [\"2018/06/09\", \"lunch\", \"tacos\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had tacos for lunch with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/06/09?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2018/06/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12867\", \"logical_representation\": [\"2018/06/09\", \"Nora\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I talked to Nora for 15 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2018/06/09?\", \"15 minutes\"], [\"who did I talk to on 2018/06/09?\", \"Nora\"], [\"Did I talk to Nora on 2018/06/09?\", \"yes\"], [\"Did I talk to anyone on 2018/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12868\", \"logical_representation\": [\"2018/06/09\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/06/09?\", \"5 minutes\"], [\"what did I read on 2018/06/09?\", \"news\"], [\"Did I read on 2018/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12869\", \"logical_representation\": [\"2018/06/09\", \"a movie\", \"20 minutes\"], \"text_template_based\": \"I watched a movie for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/09?\", \"20 minutes\"], [\"what did I watch on tv on 2018/06/09?\", \"a movie\"], [\"Did I watch tv on 2018/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/11\": {\"lunch\": {\"eid\": \"e12874\", \"logical_representation\": [\"2018/06/11\", \"lunch\", \"steak\", \"Avery, Eva, Lydia, Kinsley, Nevaeh, Olivia, Hazel, Rylee, Claire, Piper, Piper, Layla, Nora\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/06/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12875\", \"logical_representation\": [\"2018/06/11\", \"Olivia, Kinsley, Avery\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley, Avery for 29 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Avery in the late afternoon on 2018/06/11?\", \"29 minutes\"], [\"who did I talk to on 2018/06/11?\", \"Olivia, Kinsley, Avery\"], [\"Did I talk to Olivia, Kinsley, Avery on 2018/06/11?\", \"yes\"], [\"Did I talk to anyone on 2018/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12876\", \"logical_representation\": [\"2018/06/11\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/06/11?\", \"42 minutes\"], [\"what did I read on 2018/06/11?\", \"a book\"], [\"Did I read on 2018/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/12\": {\"dinner\": {\"eid\": \"e12877\", \"logical_representation\": [\"2018/06/12\", \"dinner\", \"steak\", \"Piper, Nevaeh, Eva, Kinsley, Avery, Claire, Lydia, Piper, Rylee, Layla\"], \"text_template_based\": \"I had steak for dinner with Piper, Nevaeh, Eva, Kinsley, Avery, Claire, Lydia, Piper, Rylee, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/06/12?\", \"Piper, Nevaeh, Eva, Kinsley, Avery, Claire, Lydia, Piper, Rylee, Layla\"], [\"what did I eat for dinner on 2018/06/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12878\", \"logical_representation\": [\"2018/06/12\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/06/12?\", \"38 minutes\"], [\"what did I read on 2018/06/12?\", \"news\"], [\"Did I read on 2018/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12879\", \"logical_representation\": [\"2018/06/12\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I watched a movie for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/12?\", \"37 minutes\"], [\"what did I watch on tv on 2018/06/12?\", \"a movie\"], [\"Did I watch tv on 2018/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/13\": {\"breakfast\": {\"eid\": \"e12880\", \"logical_representation\": [\"2018/06/13\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/06/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12881\", \"logical_representation\": [\"2018/06/13\", \"lunch\", \"steak\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had steak for lunch with Jackson, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/06/13?\", \"Jackson, Willow, Avery\"], [\"what did I eat for lunch on 2018/06/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12882\", \"logical_representation\": [\"2018/06/13\", \"Claire\", \"in the late afternoon\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2018/06/13?\", \"35 minutes\"], [\"who did I talk to on 2018/06/13?\", \"Claire\"], [\"Did I talk to Claire on 2018/06/13?\", \"yes\"], [\"Did I talk to anyone on 2018/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12883\", \"logical_representation\": [\"2018/06/13\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/06/13?\", \"44 minutes\"], [\"what did I read on 2018/06/13?\", \"a book\"], [\"Did I read on 2018/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/15\": {\"exercise\": {\"eid\": \"e12888\", \"logical_representation\": [\"2018/06/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/06/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12889\", \"logical_representation\": [\"2018/06/15\", \"breakfast\", \"oatmeal\", \"Nora, Layla, Lydia, Nevaeh, Eva, Rylee, Claire, Piper, Hazel, Olivia, Avery, Kinsley, Piper\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/06/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12890\", \"logical_representation\": [\"2018/06/15\", \"dinner\", \"sandwich\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Andrew, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/06/15?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2018/06/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12891\", \"logical_representation\": [\"2018/06/15\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I watched a tv series for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/15?\", \"49 minutes\"], [\"what did I watch on tv on 2018/06/15?\", \"a tv series\"], [\"Did I watch tv on 2018/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/17\": {\"exercise\": {\"eid\": \"e12894\", \"logical_representation\": [\"2018/06/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/06/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12895\", \"logical_representation\": [\"2018/06/17\", \"breakfast\", \"oatmeal\", \"Jackson\"], \"text_template_based\": \"I had oatmeal for breakfast with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/06/17?\", \"Jackson\"], [\"what did I eat for breakfast on 2018/06/17\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12896\", \"logical_representation\": [\"2018/06/17\", \"lunch\", \"a burger\", \"Avery\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/06/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12897\", \"logical_representation\": [\"2018/06/17\", \"dinner\", \"fish and chips\", \"Emily, Carter\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/06/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12898\", \"logical_representation\": [\"2018/06/17\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/06/17?\", \"34 minutes\"], [\"what did I read on 2018/06/17?\", \"news\"], [\"Did I read on 2018/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12899\", \"logical_representation\": [\"2018/06/17\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I watched a documentary for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/17?\", \"36 minutes\"], [\"what did I watch on tv on 2018/06/17?\", \"a documentary\"], [\"Did I watch tv on 2018/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/18\": {\"exercise\": {\"eid\": \"e12900\", \"logical_representation\": [\"2018/06/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/06/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12901\", \"logical_representation\": [\"2018/06/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/06/18?\", \"Carter\"], [\"what did I eat for breakfast on 2018/06/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12902\", \"logical_representation\": [\"2018/06/18\", \"Nora\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2018/06/18?\", \"41 minutes\"], [\"who did I talk to on 2018/06/18?\", \"Nora\"], [\"Did I talk to Nora on 2018/06/18?\", \"yes\"], [\"Did I talk to anyone on 2018/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12903\", \"logical_representation\": [\"2018/06/18\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/06/18?\", \"26 minutes\"], [\"what did I read on 2018/06/18?\", \"social media\"], [\"Did I read on 2018/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12904\", \"logical_representation\": [\"2018/06/18\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I watched a documentary for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/18?\", \"25 minutes\"], [\"what did I watch on tv on 2018/06/18?\", \"a documentary\"], [\"Did I watch tv on 2018/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/19\": {\"breakfast\": {\"eid\": \"e12905\", \"logical_representation\": [\"2018/06/19\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/06/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12906\", \"logical_representation\": [\"2018/06/19\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/06/19?\", \"45 minutes\"], [\"what did I read on 2018/06/19?\", \"a book\"], [\"Did I read on 2018/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12907\", \"logical_representation\": [\"2018/06/19\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/19?\", \"26 minutes\"], [\"what did I watch on tv on 2018/06/19?\", \"a tv series\"], [\"Did I watch tv on 2018/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/21\": {\"lunch\": {\"eid\": \"e12912\", \"logical_representation\": [\"2018/06/21\", \"lunch\", \"sushi\", \"Nora, Kinsley, Hazel, Piper, Avery\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/06/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12913\", \"logical_representation\": [\"2018/06/21\", \"dinner\", \"sandwich\", \"Rylee, Claire, Piper, Hazel\"], \"text_template_based\": \"I had sandwich for dinner with Rylee, Claire, Piper, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/06/21?\", \"Rylee, Claire, Piper, Hazel\"], [\"what did I eat for dinner on 2018/06/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12914\", \"logical_representation\": [\"2018/06/21\", \"Kinsley, Claire\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire for 11 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire in the early evening on 2018/06/21?\", \"11 minutes\"], [\"who did I talk to on 2018/06/21?\", \"Kinsley, Claire\"], [\"Did I talk to Kinsley, Claire on 2018/06/21?\", \"yes\"], [\"Did I talk to anyone on 2018/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e12915\", \"logical_representation\": [\"2018/06/21\", \"Avery, Kinsley, Olivia, Piper\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Avery, Kinsley, Olivia, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley, Olivia, Piper in the early afternoon on 2018/06/21?\", \"10 minutes\"], [\"who did I talk to on 2018/06/21?\", \"Avery, Kinsley, Olivia, Piper\"], [\"Did I talk to Avery, Kinsley, Olivia, Piper on 2018/06/21?\", \"yes\"], [\"Did I talk to anyone on 2018/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/22\": {\"exercise\": {\"eid\": \"e12916\", \"logical_representation\": [\"2018/06/22\", \"biking\"], \"text_template_based\": \"I did biking on 2018/06/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12917\", \"logical_representation\": [\"2018/06/22\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had oatmeal for breakfast with Kayden, Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/06/22?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for breakfast on 2018/06/22\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12918\", \"logical_representation\": [\"2018/06/22\", \"lunch\", \"steak\", \"Lydia, Rylee, Piper, Avery, Kinsley, Piper, Nora, Layla, Olivia, Claire\"], \"text_template_based\": \"I had steak for lunch with Lydia, Rylee, Piper, Avery, Kinsley, Piper, Nora, Layla, Olivia, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/06/22?\", \"Lydia, Rylee, Piper, Avery, Kinsley, Piper, Nora, Layla, Olivia, Claire\"], [\"what did I eat for lunch on 2018/06/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12919\", \"logical_representation\": [\"2018/06/22\", \"dinner\", \"steak\", \"Hazel, Piper, Lydia, Rylee, Kinsley, Nevaeh, Nora, Eva, Layla, Piper, Claire, Avery\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/06/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12920\", \"logical_representation\": [\"2018/06/22\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/06/22?\", \"28 minutes\"], [\"what did I read on 2018/06/22?\", \"social media\"], [\"Did I read on 2018/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12921\", \"logical_representation\": [\"2018/06/22\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I watched a movie for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/22?\", \"53 minutes\"], [\"what did I watch on tv on 2018/06/22?\", \"a movie\"], [\"Did I watch tv on 2018/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/24\": {\"exercise\": {\"eid\": \"e12927\", \"logical_representation\": [\"2018/06/24\", \"biking\"], \"text_template_based\": \"I did biking on 2018/06/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12928\", \"logical_representation\": [\"2018/06/24\", \"lunch\", \"sandwich\", \"Claire\"], \"text_template_based\": \"I had sandwich for lunch with Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/06/24?\", \"Claire\"], [\"what did I eat for lunch on 2018/06/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12929\", \"logical_representation\": [\"2018/06/24\", \"Nora, Kinsley\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I talked to Nora, Kinsley for 51 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley in the morning on 2018/06/24?\", \"51 minutes\"], [\"who did I talk to on 2018/06/24?\", \"Nora, Kinsley\"], [\"Did I talk to Nora, Kinsley on 2018/06/24?\", \"yes\"], [\"Did I talk to anyone on 2018/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12930\", \"logical_representation\": [\"2018/06/24\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/06/24?\", \"38 minutes\"], [\"what did I read on 2018/06/24?\", \"a book\"], [\"Did I read on 2018/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/27\": {\"exercise\": {\"eid\": \"e12938\", \"logical_representation\": [\"2018/06/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/06/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12939\", \"logical_representation\": [\"2018/06/27\", \"Avery, Lydia\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia for 38 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia in the morning on 2018/06/27?\", \"38 minutes\"], [\"who did I talk to on 2018/06/27?\", \"Avery, Lydia\"], [\"Did I talk to Avery, Lydia on 2018/06/27?\", \"yes\"], [\"Did I talk to anyone on 2018/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12940\", \"logical_representation\": [\"2018/06/27\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/06/27?\", \"19 minutes\"], [\"what did I read on 2018/06/27?\", \"a book\"], [\"Did I read on 2018/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/28\": {\"chat0\": {\"eid\": \"e12941\", \"logical_representation\": [\"2018/06/28\", \"Nora, Rylee\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Nora, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee in the early evening on 2018/06/28?\", \"6 minutes\"], [\"who did I talk to on 2018/06/28?\", \"Nora, Rylee\"], [\"Did I talk to Nora, Rylee on 2018/06/28?\", \"yes\"], [\"Did I talk to anyone on 2018/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12942\", \"logical_representation\": [\"2018/06/28\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/28?\", \"42 minutes\"], [\"what did I watch on tv on 2018/06/28?\", \"news\"], [\"Did I watch tv on 2018/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/29\": {\"lunch\": {\"eid\": \"e12943\", \"logical_representation\": [\"2018/06/29\", \"lunch\", \"steak\", \"Carter\"], \"text_template_based\": \"I had steak for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/06/29?\", \"Carter\"], [\"what did I eat for lunch on 2018/06/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12944\", \"logical_representation\": [\"2018/06/29\", \"dinner\", \"sandwich\", \"Lydia, Claire, Olivia, Kinsley, Piper, Rylee, Hazel, Layla, Nevaeh, Piper, Nora, Avery\"], \"text_template_based\": \"I had sandwich for dinner with Lydia, Claire, Olivia, Kinsley, Piper, Rylee, Hazel, Layla, Nevaeh, Piper, Nora, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/06/29?\", \"Lydia, Claire, Olivia, Kinsley, Piper, Rylee, Hazel, Layla, Nevaeh, Piper, Nora, Avery\"], [\"what did I eat for dinner on 2018/06/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12945\", \"logical_representation\": [\"2018/06/29\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/06/29?\", \"22 minutes\"], [\"what did I read on 2018/06/29?\", \"social media\"], [\"Did I read on 2018/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12946\", \"logical_representation\": [\"2018/06/29\", \"a movie\", \"30 minutes\"], \"text_template_based\": \"I watched a movie for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/29?\", \"30 minutes\"], [\"what did I watch on tv on 2018/06/29?\", \"a movie\"], [\"Did I watch tv on 2018/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/30\": {\"dinner\": {\"eid\": \"e12947\", \"logical_representation\": [\"2018/06/30\", \"dinner\", \"tacos\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/06/30?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2018/06/30\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12948\", \"logical_representation\": [\"2018/06/30\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/30?\", \"19 minutes\"], [\"what did I watch on tv on 2018/06/30?\", \"news\"], [\"Did I watch tv on 2018/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/02\": {\"exercise\": {\"eid\": \"e12955\", \"logical_representation\": [\"2018/07/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/07/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12956\", \"logical_representation\": [\"2018/07/02\", \"Kinsley, Piper, Avery, Nora\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Avery, Nora for 43 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Avery, Nora during lunch hours on 2018/07/02?\", \"43 minutes\"], [\"who did I talk to on 2018/07/02?\", \"Kinsley, Piper, Avery, Nora\"], [\"Did I talk to Kinsley, Piper, Avery, Nora on 2018/07/02?\", \"yes\"], [\"Did I talk to anyone on 2018/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12957\", \"logical_representation\": [\"2018/07/02\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/07/02?\", \"21 minutes\"], [\"what did I read on 2018/07/02?\", \"social media\"], [\"Did I read on 2018/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12958\", \"logical_representation\": [\"2018/07/02\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/02?\", \"5 minutes\"], [\"what did I watch on tv on 2018/07/02?\", \"a movie\"], [\"Did I watch tv on 2018/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/03\": {\"breakfast\": {\"eid\": \"e12959\", \"logical_representation\": [\"2018/07/03\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12960\", \"logical_representation\": [\"2018/07/03\", \"lunch\", \"sushi\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/07/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12961\", \"logical_representation\": [\"2018/07/03\", \"Nevaeh\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 13 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the late afternoon on 2018/07/03?\", \"13 minutes\"], [\"who did I talk to on 2018/07/03?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2018/07/03?\", \"yes\"], [\"Did I talk to anyone on 2018/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12962\", \"logical_representation\": [\"2018/07/03\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/07/03?\", \"15 minutes\"], [\"what did I read on 2018/07/03?\", \"news\"], [\"Did I read on 2018/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12963\", \"logical_representation\": [\"2018/07/03\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/03?\", \"34 minutes\"], [\"what did I watch on tv on 2018/07/03?\", \"a tv series\"], [\"Did I watch tv on 2018/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/04\": {\"breakfast\": {\"eid\": \"e12964\", \"logical_representation\": [\"2018/07/04\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12965\", \"logical_representation\": [\"2018/07/04\", \"dinner\", \"steak\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had steak for dinner with Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/07/04?\", \"Kayden, Emily, Carter\"], [\"what did I eat for dinner on 2018/07/04\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2018/07/05\": {\"breakfast\": {\"eid\": \"e12966\", \"logical_representation\": [\"2018/07/05\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12967\", \"logical_representation\": [\"2018/07/05\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/07/05?\", \"36 minutes\"], [\"what did I read on 2018/07/05?\", \"a book\"], [\"Did I read on 2018/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12968\", \"logical_representation\": [\"2018/07/05\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/05?\", \"10 minutes\"], [\"what did I watch on tv on 2018/07/05?\", \"a documentary\"], [\"Did I watch tv on 2018/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/06\": {\"exercise\": {\"eid\": \"e12969\", \"logical_representation\": [\"2018/07/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/07/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12970\", \"logical_representation\": [\"2018/07/06\", \"lunch\", \"steak\", \"Nevaeh, Lydia, Eva, Olivia, Avery, Piper, Piper, Layla, Hazel\"], \"text_template_based\": \"I had steak for lunch with Nevaeh, Lydia, Eva, Olivia, Avery, Piper, Piper, Layla, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/07/06?\", \"Nevaeh, Lydia, Eva, Olivia, Avery, Piper, Piper, Layla, Hazel\"], [\"what did I eat for lunch on 2018/07/06\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2018/07/08\": {\"exercise\": {\"eid\": \"e12974\", \"logical_representation\": [\"2018/07/08\", \"running\"], \"text_template_based\": \"I did running on 2018/07/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12975\", \"logical_representation\": [\"2018/07/08\", \"lunch\", \"sushi\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/07/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12976\", \"logical_representation\": [\"2018/07/08\", \"dinner\", \"fish and chips\", \"Andrew, Kayden\"], \"text_template_based\": \"I had fish and chips for dinner with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/07/08?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2018/07/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12977\", \"logical_representation\": [\"2018/07/08\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/07/08?\", \"37 minutes\"], [\"what did I read on 2018/07/08?\", \"social media\"], [\"Did I read on 2018/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/11\": {\"exercise\": {\"eid\": \"e12984\", \"logical_representation\": [\"2018/07/11\", \"running\"], \"text_template_based\": \"I did running on 2018/07/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e12985\", \"logical_representation\": [\"2018/07/11\", \"lunch\", \"sandwich\", \"Nevaeh, Eva, Avery, Lydia, Nora, Hazel, Kinsley, Claire, Piper, Piper, Rylee\"], \"text_template_based\": \"I had lunch with Nevaeh, Eva, Avery, Lydia, Nora, Hazel, Kinsley, Claire, Piper, Piper, Rylee. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/07/11?\", \"Nevaeh, Eva, Avery, Lydia, Nora, Hazel, Kinsley, Claire, Piper, Piper, Rylee\"], [\"what did I eat for lunch on 2018/07/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e12986\", \"logical_representation\": [\"2018/07/11\", \"dinner\", \"steak\", \"Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/07/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e12987\", \"logical_representation\": [\"2018/07/11\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/07/11?\", \"6 minutes\"], [\"what did I read on 2018/07/11?\", \"social media\"], [\"Did I read on 2018/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12988\", \"logical_representation\": [\"2018/07/11\", \"news\", \"49 minutes\"], \"text_template_based\": \"I watched news for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/11?\", \"49 minutes\"], [\"what did I watch on tv on 2018/07/11?\", \"news\"], [\"Did I watch tv on 2018/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/12\": {\"exercise\": {\"eid\": \"e12989\", \"logical_representation\": [\"2018/07/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/07/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e12990\", \"logical_representation\": [\"2018/07/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e12991\", \"logical_representation\": [\"2018/07/12\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/07/12?\", \"29 minutes\"], [\"what did I read on 2018/07/12?\", \"news\"], [\"Did I read on 2018/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12992\", \"logical_representation\": [\"2018/07/12\", \"news\", \"26 minutes\"], \"text_template_based\": \"I watched news for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/12?\", \"26 minutes\"], [\"what did I watch on tv on 2018/07/12?\", \"news\"], [\"Did I watch tv on 2018/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/13\": {\"dinner\": {\"eid\": \"e12993\", \"logical_representation\": [\"2018/07/13\", \"dinner\", \"fish and chips\", \"Carter, Emily\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/07/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e12994\", \"logical_representation\": [\"2018/07/13\", \"Claire\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Claire for 11 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2018/07/13?\", \"11 minutes\"], [\"who did I talk to on 2018/07/13?\", \"Claire\"], [\"Did I talk to Claire on 2018/07/13?\", \"yes\"], [\"Did I talk to anyone on 2018/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e12995\", \"logical_representation\": [\"2018/07/13\", \"news\", \"31 minutes\"], \"text_template_based\": \"I watched news for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/13?\", \"31 minutes\"], [\"what did I watch on tv on 2018/07/13?\", \"news\"], [\"Did I watch tv on 2018/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/15\": {\"lunch\": {\"eid\": \"e13001\", \"logical_representation\": [\"2018/07/15\", \"lunch\", \"indian food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had indian food for lunch with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/07/15?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2018/07/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13002\", \"logical_representation\": [\"2018/07/15\", \"dinner\", \"sandwich\", \"Rylee, Piper, Eva, Nora, Nevaeh, Layla, Lydia, Olivia, Claire\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/07/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13003\", \"logical_representation\": [\"2018/07/15\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/07/15?\", \"30 minutes\"], [\"what did I read on 2018/07/15?\", \"news\"], [\"Did I read on 2018/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/16\": {\"breakfast\": {\"eid\": \"e13004\", \"logical_representation\": [\"2018/07/16\", \"breakfast\", \"oatmeal\", \"Hazel, Eva, Claire, Piper, Olivia, Avery\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2018/07/18\": {\"exercise\": {\"eid\": \"e13010\", \"logical_representation\": [\"2018/07/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/07/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13011\", \"logical_representation\": [\"2018/07/18\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Benjamin\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13012\", \"logical_representation\": [\"2018/07/18\", \"dinner\", \"indian food\", \"Olivia, Piper, Rylee, Eva, Nevaeh, Hazel, Lydia, Nora\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/07/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13013\", \"logical_representation\": [\"2018/07/18\", \"Kinsley, Olivia, Hazel, Piper\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Kinsley, Olivia, Hazel, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Hazel, Piper in the late afternoon on 2018/07/18?\", \"48 minutes\"], [\"who did I talk to on 2018/07/18?\", \"Kinsley, Olivia, Hazel, Piper\"], [\"Did I talk to Kinsley, Olivia, Hazel, Piper on 2018/07/18?\", \"yes\"], [\"Did I talk to anyone on 2018/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13014\", \"logical_representation\": [\"2018/07/18\", \"Avery, Layla, Hazel, Nevaeh\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Avery, Layla, Hazel, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Hazel, Nevaeh in the early evening on 2018/07/18?\", \"41 minutes\"], [\"who did I talk to on 2018/07/18?\", \"Avery, Layla, Hazel, Nevaeh\"], [\"Did I talk to Avery, Layla, Hazel, Nevaeh on 2018/07/18?\", \"yes\"], [\"Did I talk to anyone on 2018/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/20\": {\"exercise\": {\"eid\": \"e13020\", \"logical_representation\": [\"2018/07/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/07/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13021\", \"logical_representation\": [\"2018/07/20\", \"breakfast\", \"toast and cheese\", \"Benjamin\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/20\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13022\", \"logical_representation\": [\"2018/07/20\", \"dinner\", \"chinese food\", \"Avery, Claire, Piper\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/07/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13023\", \"logical_representation\": [\"2018/07/20\", \"Lydia, Piper\", \"in the early evening\", \"8 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper for 8 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper in the early evening on 2018/07/20?\", \"8 minutes\"], [\"who did I talk to on 2018/07/20?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2018/07/20?\", \"yes\"], [\"Did I talk to anyone on 2018/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/21\": {\"exercise\": {\"eid\": \"e13024\", \"logical_representation\": [\"2018/07/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13025\", \"logical_representation\": [\"2018/07/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Eva, Claire, Kinsley, Avery, Rylee, Layla, Nora, Lydia, Olivia, Piper, Hazel, Piper\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Nevaeh, Eva, Claire, Kinsley, Avery, Rylee, Layla, Nora, Lydia, Olivia, Piper, Hazel, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/07/21?\", \"Nevaeh, Eva, Claire, Kinsley, Avery, Rylee, Layla, Nora, Lydia, Olivia, Piper, Hazel, Piper\"], [\"what did I eat for breakfast on 2018/07/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13026\", \"logical_representation\": [\"2018/07/21\", \"dinner\", \"steak\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/07/21\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2018/07/22\": {\"breakfast\": {\"eid\": \"e13027\", \"logical_representation\": [\"2018/07/22\", \"breakfast\", \"oatmeal\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/22\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13028\", \"logical_representation\": [\"2018/07/22\", \"dinner\", \"tacos\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Jackson. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/07/22?\", \"Benjamin, Jackson\"], [\"what did I eat for dinner on 2018/07/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13029\", \"logical_representation\": [\"2018/07/22\", \"Eva, Lydia, Claire, Hazel\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Eva, Lydia, Claire, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Claire, Hazel late in the evening on 2018/07/22?\", \"28 minutes\"], [\"who did I talk to on 2018/07/22?\", \"Eva, Lydia, Claire, Hazel\"], [\"Did I talk to Eva, Lydia, Claire, Hazel on 2018/07/22?\", \"yes\"], [\"Did I talk to anyone on 2018/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13030\", \"logical_representation\": [\"2018/07/22\", \"Layla\", \"in the late afternoon\", \"21 minutes\"], \"text_template_based\": \"I talked to Layla for 21 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the late afternoon on 2018/07/22?\", \"21 minutes\"], [\"who did I talk to on 2018/07/22?\", \"Layla\"], [\"Did I talk to Layla on 2018/07/22?\", \"yes\"], [\"Did I talk to anyone on 2018/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13031\", \"logical_representation\": [\"2018/07/22\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/07/22?\", \"50 minutes\"], [\"what did I read on 2018/07/22?\", \"a book\"], [\"Did I read on 2018/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13032\", \"logical_representation\": [\"2018/07/22\", \"news\", \"19 minutes\"], \"text_template_based\": \"I watched news for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/22?\", \"19 minutes\"], [\"what did I watch on tv on 2018/07/22?\", \"news\"], [\"Did I watch tv on 2018/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/23\": {\"breakfast\": {\"eid\": \"e13033\", \"logical_representation\": [\"2018/07/23\", \"breakfast\", \"pancakes\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13034\", \"logical_representation\": [\"2018/07/23\", \"Eva, Avery\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Eva, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery late in the evening on 2018/07/23?\", \"22 minutes\"], [\"who did I talk to on 2018/07/23?\", \"Eva, Avery\"], [\"Did I talk to Eva, Avery on 2018/07/23?\", \"yes\"], [\"Did I talk to anyone on 2018/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13035\", \"logical_representation\": [\"2018/07/23\", \"Rylee\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2018/07/23?\", \"32 minutes\"], [\"who did I talk to on 2018/07/23?\", \"Rylee\"], [\"Did I talk to Rylee on 2018/07/23?\", \"yes\"], [\"Did I talk to anyone on 2018/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13036\", \"logical_representation\": [\"2018/07/23\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/07/23?\", \"32 minutes\"], [\"what did I read on 2018/07/23?\", \"a book\"], [\"Did I read on 2018/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13037\", \"logical_representation\": [\"2018/07/23\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I watched a tv series for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/23?\", \"50 minutes\"], [\"what did I watch on tv on 2018/07/23?\", \"a tv series\"], [\"Did I watch tv on 2018/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/24\": {\"lunch\": {\"eid\": \"e13038\", \"logical_representation\": [\"2018/07/24\", \"lunch\", \"chinese food\", \"Avery, Lydia, Rylee, Hazel, Kinsley, Nevaeh, Layla\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/07/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13039\", \"logical_representation\": [\"2018/07/24\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/07/24?\", \"20 minutes\"], [\"what did I read on 2018/07/24?\", \"social media\"], [\"Did I read on 2018/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/27\": {\"exercise\": {\"eid\": \"e13048\", \"logical_representation\": [\"2018/07/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/07/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13049\", \"logical_representation\": [\"2018/07/27\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/07/27?\", \"23 minutes\"], [\"what did I read on 2018/07/27?\", \"social media\"], [\"Did I read on 2018/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13050\", \"logical_representation\": [\"2018/07/27\", \"news\", \"7 minutes\"], \"text_template_based\": \"I watched news for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/27?\", \"7 minutes\"], [\"what did I watch on tv on 2018/07/27?\", \"news\"], [\"Did I watch tv on 2018/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/28\": {\"exercise\": {\"eid\": \"e13051\", \"logical_representation\": [\"2018/07/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/07/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13052\", \"logical_representation\": [\"2018/07/28\", \"lunch\", \"steak\", \"Andrew, Carter\"], \"text_template_based\": \"I had steak for lunch with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/07/28?\", \"Andrew, Carter\"], [\"what did I eat for lunch on 2018/07/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13053\", \"logical_representation\": [\"2018/07/28\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/07/28?\", \"30 minutes\"], [\"what did I read on 2018/07/28?\", \"news\"], [\"Did I read on 2018/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13054\", \"logical_representation\": [\"2018/07/28\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/28?\", \"24 minutes\"], [\"what did I watch on tv on 2018/07/28?\", \"news\"], [\"Did I watch tv on 2018/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/29\": {\"exercise\": {\"eid\": \"e13055\", \"logical_representation\": [\"2018/07/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/07/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13056\", \"logical_representation\": [\"2018/07/29\", \"breakfast\", \"oatmeal\", \"Avery, Benjamin\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13057\", \"logical_representation\": [\"2018/07/29\", \"lunch\", \"fish and chips\", \"Willow, Avery\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/07/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13058\", \"logical_representation\": [\"2018/07/29\", \"dinner\", \"pasta\", \"Willow\"], \"text_template_based\": \"I had pasta for dinner with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/07/29?\", \"Willow\"], [\"what did I eat for dinner on 2018/07/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13059\", \"logical_representation\": [\"2018/07/29\", \"Nevaeh, Lydia, Piper, Claire\", \"late in the evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia, Piper, Claire for 50 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Piper, Claire late in the evening on 2018/07/29?\", \"50 minutes\"], [\"who did I talk to on 2018/07/29?\", \"Nevaeh, Lydia, Piper, Claire\"], [\"Did I talk to Nevaeh, Lydia, Piper, Claire on 2018/07/29?\", \"yes\"], [\"Did I talk to anyone on 2018/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13060\", \"logical_representation\": [\"2018/07/29\", \"Layla, Piper, Olivia, Eva\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Layla, Piper, Olivia, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Olivia, Eva in the early afternoon on 2018/07/29?\", \"41 minutes\"], [\"who did I talk to on 2018/07/29?\", \"Layla, Piper, Olivia, Eva\"], [\"Did I talk to Layla, Piper, Olivia, Eva on 2018/07/29?\", \"yes\"], [\"Did I talk to anyone on 2018/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13061\", \"logical_representation\": [\"2018/07/29\", \"a movie\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/29?\", \"24 minutes\"], [\"what did I watch on tv on 2018/07/29?\", \"a movie\"], [\"Did I watch tv on 2018/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/30\": {\"exercise\": {\"eid\": \"e13062\", \"logical_representation\": [\"2018/07/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/07/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13063\", \"logical_representation\": [\"2018/07/30\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13064\", \"logical_representation\": [\"2018/07/30\", \"lunch\", \"tacos\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch with Carter, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/07/30?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2018/07/30\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13065\", \"logical_representation\": [\"2018/07/30\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/30?\", \"10 minutes\"], [\"what did I watch on tv on 2018/07/30?\", \"a movie\"], [\"Did I watch tv on 2018/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/31\": {\"exercise\": {\"eid\": \"e13066\", \"logical_representation\": [\"2018/07/31\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/07/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/31?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13067\", \"logical_representation\": [\"2018/07/31\", \"breakfast\", \"toast and cheese\", \"Carter, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/07/31?\", \"Carter, Emily\"], [\"what did I eat for breakfast on 2018/07/31\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13068\", \"logical_representation\": [\"2018/07/31\", \"lunch\", \"fish and chips\", \"Avery, Eva, Nora, Lydia, Piper, Rylee, Layla\"], \"text_template_based\": \"I had lunch with Avery, Eva, Nora, Lydia, Piper, Rylee, Layla. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/07/31?\", \"Avery, Eva, Nora, Lydia, Piper, Rylee, Layla\"], [\"what did I eat for lunch on 2018/07/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13069\", \"logical_representation\": [\"2018/07/31\", \"dinner\", \"steak\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/07/31?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2018/07/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13070\", \"logical_representation\": [\"2018/07/31\", \"Lydia, Piper, Avery\", \"late in the evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Avery for 16 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Avery late in the evening on 2018/07/31?\", \"16 minutes\"], [\"who did I talk to on 2018/07/31?\", \"Lydia, Piper, Avery\"], [\"Did I talk to Lydia, Piper, Avery on 2018/07/31?\", \"yes\"], [\"Did I talk to anyone on 2018/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13071\", \"logical_representation\": [\"2018/07/31\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/31?\", \"11 minutes\"], [\"what did I watch on tv on 2018/07/31?\", \"news\"], [\"Did I watch tv on 2018/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/01\": {\"exercise\": {\"eid\": \"e13072\", \"logical_representation\": [\"2018/08/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/08/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13073\", \"logical_representation\": [\"2018/08/01\", \"dinner\", \"indian food\", \"Piper, Hazel, Eva, Nora, Piper, Nevaeh, Layla, Kinsley, Rylee\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13074\", \"logical_representation\": [\"2018/08/01\", \"Eva, Kinsley\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Eva, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley during lunch hours on 2018/08/01?\", \"39 minutes\"], [\"who did I talk to on 2018/08/01?\", \"Eva, Kinsley\"], [\"Did I talk to Eva, Kinsley on 2018/08/01?\", \"yes\"], [\"Did I talk to anyone on 2018/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/02\": {\"breakfast\": {\"eid\": \"e13075\", \"logical_representation\": [\"2018/08/02\", \"breakfast\", \"oatmeal\", \"Lydia, Kinsley, Piper, Olivia, Hazel, Nora, Piper, Avery, Layla, Claire\"], \"text_template_based\": \"I had oatmeal for breakfast with Lydia, Kinsley, Piper, Olivia, Hazel, Nora, Piper, Avery, Layla, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/08/02?\", \"Lydia, Kinsley, Piper, Olivia, Hazel, Nora, Piper, Avery, Layla, Claire\"], [\"what did I eat for breakfast on 2018/08/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13076\", \"logical_representation\": [\"2018/08/02\", \"lunch\", \"steak\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/08/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13077\", \"logical_representation\": [\"2018/08/02\", \"dinner\", \"pasta\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13078\", \"logical_representation\": [\"2018/08/02\", \"Avery\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2018/08/02?\", \"31 minutes\"], [\"who did I talk to on 2018/08/02?\", \"Avery\"], [\"Did I talk to Avery on 2018/08/02?\", \"yes\"], [\"Did I talk to anyone on 2018/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13079\", \"logical_representation\": [\"2018/08/02\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/08/02?\", \"52 minutes\"], [\"what did I read on 2018/08/02?\", \"news\"], [\"Did I read on 2018/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/03\": {\"exercise\": {\"eid\": \"e13080\", \"logical_representation\": [\"2018/08/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/08/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/08/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13081\", \"logical_representation\": [\"2018/08/03\", \"breakfast\", \"pancakes\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/08/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13082\", \"logical_representation\": [\"2018/08/03\", \"lunch\", \"tacos\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/08/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13083\", \"logical_representation\": [\"2018/08/03\", \"dinner\", \"steak\", \"Layla, Lydia, Piper, Nevaeh, Claire, Hazel, Avery, Nora\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13084\", \"logical_representation\": [\"2018/08/03\", \"Nevaeh, Hazel, Kinsley, Olivia\", \"in the early evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Hazel, Kinsley, Olivia for 36 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Kinsley, Olivia in the early evening on 2018/08/03?\", \"36 minutes\"], [\"who did I talk to on 2018/08/03?\", \"Nevaeh, Hazel, Kinsley, Olivia\"], [\"Did I talk to Nevaeh, Hazel, Kinsley, Olivia on 2018/08/03?\", \"yes\"], [\"Did I talk to anyone on 2018/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13085\", \"logical_representation\": [\"2018/08/03\", \"Lydia, Eva, Kinsley, Layla\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Lydia, Eva, Kinsley, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Kinsley, Layla during lunch hours on 2018/08/03?\", \"31 minutes\"], [\"who did I talk to on 2018/08/03?\", \"Lydia, Eva, Kinsley, Layla\"], [\"Did I talk to Lydia, Eva, Kinsley, Layla on 2018/08/03?\", \"yes\"], [\"Did I talk to anyone on 2018/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13086\", \"logical_representation\": [\"2018/08/03\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/08/03?\", \"45 minutes\"], [\"what did I read on 2018/08/03?\", \"news\"], [\"Did I read on 2018/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13087\", \"logical_representation\": [\"2018/08/03\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I watched a movie for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/03?\", \"43 minutes\"], [\"what did I watch on tv on 2018/08/03?\", \"a movie\"], [\"Did I watch tv on 2018/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/04\": {\"breakfast\": {\"eid\": \"e13088\", \"logical_representation\": [\"2018/08/04\", \"breakfast\", \"pancakes\", \"Avery, Nora, Layla\"], \"text_template_based\": \"I had breakfast with Avery, Nora, Layla. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/08/04?\", \"Avery, Nora, Layla\"], [\"what did I eat for breakfast on 2018/08/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13089\", \"logical_representation\": [\"2018/08/04\", \"dinner\", \"fish and chips\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had dinner with Willow, Avery, Jackson, Benjamin. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/08/04?\", \"Willow, Avery, Jackson, Benjamin\"], [\"what did I eat for dinner on 2018/08/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13090\", \"logical_representation\": [\"2018/08/04\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/08/04?\", \"24 minutes\"], [\"what did I read on 2018/08/04?\", \"social media\"], [\"Did I read on 2018/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13091\", \"logical_representation\": [\"2018/08/04\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/04?\", \"41 minutes\"], [\"what did I watch on tv on 2018/08/04?\", \"a movie\"], [\"Did I watch tv on 2018/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/05\": {\"exercise\": {\"eid\": \"e13092\", \"logical_representation\": [\"2018/08/05\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/08/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/08/05?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13093\", \"logical_representation\": [\"2018/08/05\", \"breakfast\", \"oatmeal\", \"Piper, Piper, Claire, Avery, Nora\"], \"text_template_based\": \"I had oatmeal for breakfast with Piper, Piper, Claire, Avery, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/08/05?\", \"Piper, Piper, Claire, Avery, Nora\"], [\"what did I eat for breakfast on 2018/08/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13094\", \"logical_representation\": [\"2018/08/05\", \"dinner\", \"sandwich\", \"Nevaeh, Piper, Eva, Layla, Kinsley, Lydia, Avery, Claire, Hazel\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13095\", \"logical_representation\": [\"2018/08/05\", \"Nevaeh, Rylee, Olivia, Eva\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee, Olivia, Eva for 15 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Olivia, Eva late in the evening on 2018/08/05?\", \"15 minutes\"], [\"who did I talk to on 2018/08/05?\", \"Nevaeh, Rylee, Olivia, Eva\"], [\"Did I talk to Nevaeh, Rylee, Olivia, Eva on 2018/08/05?\", \"yes\"], [\"Did I talk to anyone on 2018/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13096\", \"logical_representation\": [\"2018/08/05\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/08/05?\", \"32 minutes\"], [\"what did I read on 2018/08/05?\", \"news\"], [\"Did I read on 2018/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13097\", \"logical_representation\": [\"2018/08/05\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I watched a movie for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/05?\", \"39 minutes\"], [\"what did I watch on tv on 2018/08/05?\", \"a movie\"], [\"Did I watch tv on 2018/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/06\": {\"lunch\": {\"eid\": \"e13098\", \"logical_representation\": [\"2018/08/06\", \"lunch\", \"steak\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had steak for lunch with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/08/06?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2018/08/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13099\", \"logical_representation\": [\"2018/08/06\", \"dinner\", \"pasta\", \"Carter\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13100\", \"logical_representation\": [\"2018/08/06\", \"Piper, Rylee\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee for 52 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the early evening on 2018/08/06?\", \"52 minutes\"], [\"who did I talk to on 2018/08/06?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2018/08/06?\", \"yes\"], [\"Did I talk to anyone on 2018/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13101\", \"logical_representation\": [\"2018/08/06\", \"Kinsley\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Kinsley for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2018/08/06?\", \"42 minutes\"], [\"who did I talk to on 2018/08/06?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2018/08/06?\", \"yes\"], [\"Did I talk to anyone on 2018/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13102\", \"logical_representation\": [\"2018/08/06\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I watched a tv series for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/06?\", \"17 minutes\"], [\"what did I watch on tv on 2018/08/06?\", \"a tv series\"], [\"Did I watch tv on 2018/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/08\": {\"exercise\": {\"eid\": \"e13104\", \"logical_representation\": [\"2018/08/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/08/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/08/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13105\", \"logical_representation\": [\"2018/08/08\", \"lunch\", \"fish and chips\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/08/08?\", \"Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2018/08/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13106\", \"logical_representation\": [\"2018/08/08\", \"dinner\", \"fish and chips\", \"Hazel, Lydia, Piper, Nora, Avery, Piper, Claire, Nevaeh, Layla, Eva\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2018/08/09\": {\"breakfast\": {\"eid\": \"e13107\", \"logical_representation\": [\"2018/08/09\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/08/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13108\", \"logical_representation\": [\"2018/08/09\", \"a documentary\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/09?\", \"28 minutes\"], [\"what did I watch on tv on 2018/08/09?\", \"a documentary\"], [\"Did I watch tv on 2018/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/10\": {\"breakfast\": {\"eid\": \"e13109\", \"logical_representation\": [\"2018/08/10\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/08/10\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13110\", \"logical_representation\": [\"2018/08/10\", \"dinner\", \"steak\", \"Avery, Hazel, Nora, Nevaeh, Lydia, Kinsley, Layla, Piper, Olivia\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13111\", \"logical_representation\": [\"2018/08/10\", \"Kinsley, Hazel, Nevaeh, Olivia\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Kinsley, Hazel, Nevaeh, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Nevaeh, Olivia in the early afternoon on 2018/08/10?\", \"40 minutes\"], [\"who did I talk to on 2018/08/10?\", \"Kinsley, Hazel, Nevaeh, Olivia\"], [\"Did I talk to Kinsley, Hazel, Nevaeh, Olivia on 2018/08/10?\", \"yes\"], [\"Did I talk to anyone on 2018/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13112\", \"logical_representation\": [\"2018/08/10\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/10?\", \"53 minutes\"], [\"what did I watch on tv on 2018/08/10?\", \"a movie\"], [\"Did I watch tv on 2018/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/11\": {\"exercise\": {\"eid\": \"e13113\", \"logical_representation\": [\"2018/08/11\", \"running\"], \"text_template_based\": \"I did running on 2018/08/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/08/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13114\", \"logical_representation\": [\"2018/08/11\", \"lunch\", \"indian food\", \"Rylee, Kinsley, Layla, Eva, Olivia, Nevaeh, Lydia, Nora, Piper, Piper, Avery\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/08/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13115\", \"logical_representation\": [\"2018/08/11\", \"Eva, Kinsley, Nevaeh\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley, Nevaeh for 38 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Nevaeh in the early afternoon on 2018/08/11?\", \"38 minutes\"], [\"who did I talk to on 2018/08/11?\", \"Eva, Kinsley, Nevaeh\"], [\"Did I talk to Eva, Kinsley, Nevaeh on 2018/08/11?\", \"yes\"], [\"Did I talk to anyone on 2018/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13116\", \"logical_representation\": [\"2018/08/11\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/08/11?\", \"52 minutes\"], [\"what did I read on 2018/08/11?\", \"a book\"], [\"Did I read on 2018/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13117\", \"logical_representation\": [\"2018/08/11\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I watched a tv series for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/11?\", \"17 minutes\"], [\"what did I watch on tv on 2018/08/11?\", \"a tv series\"], [\"Did I watch tv on 2018/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/13\": {\"breakfast\": {\"eid\": \"e13122\", \"logical_representation\": [\"2018/08/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee, Nora, Kinsley, Hazel, Layla, Claire, Piper, Lydia, Piper, Avery, Olivia, Eva\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Rylee, Nora, Kinsley, Hazel, Layla, Claire, Piper, Lydia, Piper, Avery, Olivia, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/08/13?\", \"Rylee, Nora, Kinsley, Hazel, Layla, Claire, Piper, Lydia, Piper, Avery, Olivia, Eva\"], [\"what did I eat for breakfast on 2018/08/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13123\", \"logical_representation\": [\"2018/08/13\", \"Nevaeh\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 51 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh during lunch hours on 2018/08/13?\", \"51 minutes\"], [\"who did I talk to on 2018/08/13?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2018/08/13?\", \"yes\"], [\"Did I talk to anyone on 2018/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13124\", \"logical_representation\": [\"2018/08/13\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/08/13?\", \"33 minutes\"], [\"what did I read on 2018/08/13?\", \"a book\"], [\"Did I read on 2018/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/14\": {\"exercise\": {\"eid\": \"e13125\", \"logical_representation\": [\"2018/08/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/08/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/08/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13126\", \"logical_representation\": [\"2018/08/14\", \"breakfast\", \"cereals\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/08/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13127\", \"logical_representation\": [\"2018/08/14\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/08/14?\", \"8 minutes\"], [\"what did I read on 2018/08/14?\", \"a book\"], [\"Did I read on 2018/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13128\", \"logical_representation\": [\"2018/08/14\", \"news\", \"55 minutes\"], \"text_template_based\": \"I watched news for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/14?\", \"55 minutes\"], [\"what did I watch on tv on 2018/08/14?\", \"news\"], [\"Did I watch tv on 2018/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/17\": {\"exercise\": {\"eid\": \"e13131\", \"logical_representation\": [\"2018/08/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/08/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/08/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13132\", \"logical_representation\": [\"2018/08/17\", \"breakfast\", \"cereals\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had cereals for breakfast with Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/08/17?\", \"Kayden, Emily, Carter\"], [\"what did I eat for breakfast on 2018/08/17\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13133\", \"logical_representation\": [\"2018/08/17\", \"lunch\", \"a burger\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/08/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13134\", \"logical_representation\": [\"2018/08/17\", \"Claire\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Claire for 20 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2018/08/17?\", \"20 minutes\"], [\"who did I talk to on 2018/08/17?\", \"Claire\"], [\"Did I talk to Claire on 2018/08/17?\", \"yes\"], [\"Did I talk to anyone on 2018/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13135\", \"logical_representation\": [\"2018/08/17\", \"Nevaeh, Lydia, Avery\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia, Avery for 42 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Avery late in the evening on 2018/08/17?\", \"42 minutes\"], [\"who did I talk to on 2018/08/17?\", \"Nevaeh, Lydia, Avery\"], [\"Did I talk to Nevaeh, Lydia, Avery on 2018/08/17?\", \"yes\"], [\"Did I talk to anyone on 2018/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13136\", \"logical_representation\": [\"2018/08/17\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/08/17?\", \"16 minutes\"], [\"what did I read on 2018/08/17?\", \"a book\"], [\"Did I read on 2018/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/18\": {\"breakfast\": {\"eid\": \"e13137\", \"logical_representation\": [\"2018/08/18\", \"breakfast\", \"oatmeal\", \"Claire, Olivia, Nevaeh, Nora, Piper, Piper\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/08/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13138\", \"logical_representation\": [\"2018/08/18\", \"Nevaeh, Layla\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Layla for 27 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla in the late afternoon on 2018/08/18?\", \"27 minutes\"], [\"who did I talk to on 2018/08/18?\", \"Nevaeh, Layla\"], [\"Did I talk to Nevaeh, Layla on 2018/08/18?\", \"yes\"], [\"Did I talk to anyone on 2018/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13139\", \"logical_representation\": [\"2018/08/18\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/08/18?\", \"16 minutes\"], [\"what did I read on 2018/08/18?\", \"social media\"], [\"Did I read on 2018/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13140\", \"logical_representation\": [\"2018/08/18\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/18?\", \"12 minutes\"], [\"what did I watch on tv on 2018/08/18?\", \"news\"], [\"Did I watch tv on 2018/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/20\": {\"chat0\": {\"eid\": \"e13142\", \"logical_representation\": [\"2018/08/20\", \"Layla, Nevaeh\", \"in the morning\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Layla, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh in the morning on 2018/08/20?\", \"36 minutes\"], [\"who did I talk to on 2018/08/20?\", \"Layla, Nevaeh\"], [\"Did I talk to Layla, Nevaeh on 2018/08/20?\", \"yes\"], [\"Did I talk to anyone on 2018/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13143\", \"logical_representation\": [\"2018/08/20\", \"Nevaeh, Lydia\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia for 16 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia in the early evening on 2018/08/20?\", \"16 minutes\"], [\"who did I talk to on 2018/08/20?\", \"Nevaeh, Lydia\"], [\"Did I talk to Nevaeh, Lydia on 2018/08/20?\", \"yes\"], [\"Did I talk to anyone on 2018/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13144\", \"logical_representation\": [\"2018/08/20\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/08/20?\", \"33 minutes\"], [\"what did I read on 2018/08/20?\", \"social media\"], [\"Did I read on 2018/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/21\": {\"lunch\": {\"eid\": \"e13145\", \"logical_representation\": [\"2018/08/21\", \"lunch\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had indian food for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/08/21?\", \"Andrew\"], [\"what did I eat for lunch on 2018/08/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13146\", \"logical_representation\": [\"2018/08/21\", \"dinner\", \"a burger\", \"Kinsley, Piper, Eva\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13147\", \"logical_representation\": [\"2018/08/21\", \"Lydia, Avery, Hazel, Nevaeh\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery, Hazel, Nevaeh for 12 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Hazel, Nevaeh in the early evening on 2018/08/21?\", \"12 minutes\"], [\"who did I talk to on 2018/08/21?\", \"Lydia, Avery, Hazel, Nevaeh\"], [\"Did I talk to Lydia, Avery, Hazel, Nevaeh on 2018/08/21?\", \"yes\"], [\"Did I talk to anyone on 2018/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/24\": {\"exercise\": {\"eid\": \"e13157\", \"logical_representation\": [\"2018/08/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/08/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/08/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13158\", \"logical_representation\": [\"2018/08/24\", \"lunch\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/08/24?\", \"Kayden\"], [\"what did I eat for lunch on 2018/08/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13159\", \"logical_representation\": [\"2018/08/24\", \"Lydia, Nora\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Lydia, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora in the late afternoon on 2018/08/24?\", \"11 minutes\"], [\"who did I talk to on 2018/08/24?\", \"Lydia, Nora\"], [\"Did I talk to Lydia, Nora on 2018/08/24?\", \"yes\"], [\"Did I talk to anyone on 2018/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13160\", \"logical_representation\": [\"2018/08/24\", \"news\", \"36 minutes\"], \"text_template_based\": \"I watched news for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/24?\", \"36 minutes\"], [\"what did I watch on tv on 2018/08/24?\", \"news\"], [\"Did I watch tv on 2018/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/25\": {\"breakfast\": {\"eid\": \"e13161\", \"logical_representation\": [\"2018/08/25\", \"breakfast\", \"cereals\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I had breakfast with Willow, Avery, Benjamin. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/08/25?\", \"Willow, Avery, Benjamin\"], [\"what did I eat for breakfast on 2018/08/25\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13162\", \"logical_representation\": [\"2018/08/25\", \"lunch\", \"steak\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/08/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13163\", \"logical_representation\": [\"2018/08/25\", \"Kinsley, Rylee\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee for 28 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee in the early afternoon on 2018/08/25?\", \"28 minutes\"], [\"who did I talk to on 2018/08/25?\", \"Kinsley, Rylee\"], [\"Did I talk to Kinsley, Rylee on 2018/08/25?\", \"yes\"], [\"Did I talk to anyone on 2018/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13164\", \"logical_representation\": [\"2018/08/25\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/25?\", \"30 minutes\"], [\"what did I watch on tv on 2018/08/25?\", \"a documentary\"], [\"Did I watch tv on 2018/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/26\": {\"lunch\": {\"eid\": \"e13165\", \"logical_representation\": [\"2018/08/26\", \"lunch\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/08/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13166\", \"logical_representation\": [\"2018/08/26\", \"dinner\", \"pasta\", \"Emily, Andrew\"], \"text_template_based\": \"I had pasta for dinner with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/08/26?\", \"Emily, Andrew\"], [\"what did I eat for dinner on 2018/08/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13167\", \"logical_representation\": [\"2018/08/26\", \"Eva, Nora, Piper\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Eva, Nora, Piper for 49 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Piper in the early evening on 2018/08/26?\", \"49 minutes\"], [\"who did I talk to on 2018/08/26?\", \"Eva, Nora, Piper\"], [\"Did I talk to Eva, Nora, Piper on 2018/08/26?\", \"yes\"], [\"Did I talk to anyone on 2018/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13168\", \"logical_representation\": [\"2018/08/26\", \"Layla, Hazel, Claire, Avery\", \"in the morning\", \"18 minutes\"], \"text_template_based\": \"I talked to Layla, Hazel, Claire, Avery for 18 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Claire, Avery in the morning on 2018/08/26?\", \"18 minutes\"], [\"who did I talk to on 2018/08/26?\", \"Layla, Hazel, Claire, Avery\"], [\"Did I talk to Layla, Hazel, Claire, Avery on 2018/08/26?\", \"yes\"], [\"Did I talk to anyone on 2018/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13169\", \"logical_representation\": [\"2018/08/26\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/08/26?\", \"55 minutes\"], [\"what did I read on 2018/08/26?\", \"social media\"], [\"Did I read on 2018/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/28\": {\"lunch\": {\"eid\": \"e13172\", \"logical_representation\": [\"2018/08/28\", \"lunch\", \"sushi\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/08/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13173\", \"logical_representation\": [\"2018/08/28\", \"Rylee, Layla, Claire\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Rylee, Layla, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla, Claire in the early evening on 2018/08/28?\", \"27 minutes\"], [\"who did I talk to on 2018/08/28?\", \"Rylee, Layla, Claire\"], [\"Did I talk to Rylee, Layla, Claire on 2018/08/28?\", \"yes\"], [\"Did I talk to anyone on 2018/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13174\", \"logical_representation\": [\"2018/08/28\", \"a documentary\", \"41 minutes\"], \"text_template_based\": \"I watched a documentary for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/28?\", \"41 minutes\"], [\"what did I watch on tv on 2018/08/28?\", \"a documentary\"], [\"Did I watch tv on 2018/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/29\": {\"breakfast\": {\"eid\": \"e13175\", \"logical_representation\": [\"2018/08/29\", \"breakfast\", \"oatmeal\", \"Nora, Lydia, Piper, Kinsley, Rylee, Nevaeh, Claire, Olivia, Hazel, Layla\"], \"text_template_based\": \"I had breakfast with Nora, Lydia, Piper, Kinsley, Rylee, Nevaeh, Claire, Olivia, Hazel, Layla. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/08/29?\", \"Nora, Lydia, Piper, Kinsley, Rylee, Nevaeh, Claire, Olivia, Hazel, Layla\"], [\"what did I eat for breakfast on 2018/08/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13176\", \"logical_representation\": [\"2018/08/29\", \"dinner\", \"fish and chips\", \"Kayden, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/08/29?\", \"Kayden, Emily\"], [\"what did I eat for dinner on 2018/08/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13177\", \"logical_representation\": [\"2018/08/29\", \"Layla, Piper, Lydia\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Layla, Piper, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Lydia late in the evening on 2018/08/29?\", \"42 minutes\"], [\"who did I talk to on 2018/08/29?\", \"Layla, Piper, Lydia\"], [\"Did I talk to Layla, Piper, Lydia on 2018/08/29?\", \"yes\"], [\"Did I talk to anyone on 2018/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/30\": {\"breakfast\": {\"eid\": \"e13178\", \"logical_representation\": [\"2018/08/30\", \"breakfast\", \"toast and cheese\", \"Jackson\"], \"text_template_based\": \"I had toast and cheese for breakfast with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/08/30?\", \"Jackson\"], [\"what did I eat for breakfast on 2018/08/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13179\", \"logical_representation\": [\"2018/08/30\", \"lunch\", \"indian food\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/08/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13180\", \"logical_representation\": [\"2018/08/30\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I watched a movie for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/30?\", \"29 minutes\"], [\"what did I watch on tv on 2018/08/30?\", \"a movie\"], [\"Did I watch tv on 2018/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/02\": {\"breakfast\": {\"eid\": \"e13190\", \"logical_representation\": [\"2018/09/02\", \"breakfast\", \"cereals\", \"Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/09/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13191\", \"logical_representation\": [\"2018/09/02\", \"lunch\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13192\", \"logical_representation\": [\"2018/09/02\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/09/02?\", \"53 minutes\"], [\"what did I read on 2018/09/02?\", \"news\"], [\"Did I read on 2018/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/03\": {\"exercise\": {\"eid\": \"e13193\", \"logical_representation\": [\"2018/09/03\", \"running\"], \"text_template_based\": \"I did running on 2018/09/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13194\", \"logical_representation\": [\"2018/09/03\", \"lunch\", \"sushi\", \"Jackson, Willow\"], \"text_template_based\": \"I had lunch with Jackson, Willow. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/09/03?\", \"Jackson, Willow\"], [\"what did I eat for lunch on 2018/09/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13195\", \"logical_representation\": [\"2018/09/03\", \"Piper, Layla, Piper, Lydia\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Piper, Layla, Piper, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Piper, Lydia in the late afternoon on 2018/09/03?\", \"42 minutes\"], [\"who did I talk to on 2018/09/03?\", \"Piper, Layla, Piper, Lydia\"], [\"Did I talk to Piper, Layla, Piper, Lydia on 2018/09/03?\", \"yes\"], [\"Did I talk to anyone on 2018/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13196\", \"logical_representation\": [\"2018/09/03\", \"a movie\", \"44 minutes\"], \"text_template_based\": \"I watched a movie for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/03?\", \"44 minutes\"], [\"what did I watch on tv on 2018/09/03?\", \"a movie\"], [\"Did I watch tv on 2018/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/04\": {\"breakfast\": {\"eid\": \"e13197\", \"logical_representation\": [\"2018/09/04\", \"breakfast\", \"cereals\", \"Jackson, Avery\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/09/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13198\", \"logical_representation\": [\"2018/09/04\", \"lunch\", \"a burger\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Andrew. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/09/04?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2018/09/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13199\", \"logical_representation\": [\"2018/09/04\", \"dinner\", \"steak\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/09/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13200\", \"logical_representation\": [\"2018/09/04\", \"Piper, Rylee\", \"in the late afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Piper, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the late afternoon on 2018/09/04?\", \"36 minutes\"], [\"who did I talk to on 2018/09/04?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2018/09/04?\", \"yes\"], [\"Did I talk to anyone on 2018/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13201\", \"logical_representation\": [\"2018/09/04\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/09/04?\", \"8 minutes\"], [\"what did I read on 2018/09/04?\", \"social media\"], [\"Did I read on 2018/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/06\": {\"breakfast\": {\"eid\": \"e13204\", \"logical_representation\": [\"2018/09/06\", \"breakfast\", \"pancakes\", \"Carter, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Emily. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/09/06?\", \"Carter, Emily\"], [\"what did I eat for breakfast on 2018/09/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13205\", \"logical_representation\": [\"2018/09/06\", \"Layla, Rylee\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Layla, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee in the late afternoon on 2018/09/06?\", \"23 minutes\"], [\"who did I talk to on 2018/09/06?\", \"Layla, Rylee\"], [\"Did I talk to Layla, Rylee on 2018/09/06?\", \"yes\"], [\"Did I talk to anyone on 2018/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/07\": {\"breakfast\": {\"eid\": \"e13206\", \"logical_representation\": [\"2018/09/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Eva, Kinsley, Avery, Nora, Claire\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/09/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13207\", \"logical_representation\": [\"2018/09/07\", \"lunch\", \"a burger\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13208\", \"logical_representation\": [\"2018/09/07\", \"dinner\", \"sushi\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/09/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13209\", \"logical_representation\": [\"2018/09/07\", \"Hazel, Avery, Kinsley\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I talked to Hazel, Avery, Kinsley for 39 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Kinsley during lunch hours on 2018/09/07?\", \"39 minutes\"], [\"who did I talk to on 2018/09/07?\", \"Hazel, Avery, Kinsley\"], [\"Did I talk to Hazel, Avery, Kinsley on 2018/09/07?\", \"yes\"], [\"Did I talk to anyone on 2018/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13210\", \"logical_representation\": [\"2018/09/07\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/07?\", \"40 minutes\"], [\"what did I watch on tv on 2018/09/07?\", \"a tv series\"], [\"Did I watch tv on 2018/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/08\": {\"dinner\": {\"eid\": \"e13211\", \"logical_representation\": [\"2018/09/08\", \"dinner\", \"steak\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/09/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13212\", \"logical_representation\": [\"2018/09/08\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/09/08?\", \"36 minutes\"], [\"what did I read on 2018/09/08?\", \"social media\"], [\"Did I read on 2018/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/10\": {\"exercise\": {\"eid\": \"e13218\", \"logical_representation\": [\"2018/09/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/09/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13219\", \"logical_representation\": [\"2018/09/10\", \"dinner\", \"chinese food\", \"Olivia, Claire, Eva, Layla, Avery, Rylee, Lydia, Piper, Nevaeh, Kinsley, Hazel, Nora\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/09/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13220\", \"logical_representation\": [\"2018/09/10\", \"Rylee, Claire\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Rylee, Claire for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire in the early evening on 2018/09/10?\", \"39 minutes\"], [\"who did I talk to on 2018/09/10?\", \"Rylee, Claire\"], [\"Did I talk to Rylee, Claire on 2018/09/10?\", \"yes\"], [\"Did I talk to anyone on 2018/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13221\", \"logical_representation\": [\"2018/09/10\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/10?\", \"51 minutes\"], [\"what did I watch on tv on 2018/09/10?\", \"a documentary\"], [\"Did I watch tv on 2018/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/11\": {\"breakfast\": {\"eid\": \"e13222\", \"logical_representation\": [\"2018/09/11\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/09/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13223\", \"logical_representation\": [\"2018/09/11\", \"dinner\", \"pasta\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had pasta for dinner with Carter, Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/09/11?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2018/09/11\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2018/09/12\": {\"exercise\": {\"eid\": \"e13224\", \"logical_representation\": [\"2018/09/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/09/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13225\", \"logical_representation\": [\"2018/09/12\", \"breakfast\", \"cereals\", \"Nora, Avery, Olivia, Eva, Hazel, Piper, Claire, Nevaeh, Piper, Lydia\"], \"text_template_based\": \"I had cereals for breakfast with Nora, Avery, Olivia, Eva, Hazel, Piper, Claire, Nevaeh, Piper, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/09/12?\", \"Nora, Avery, Olivia, Eva, Hazel, Piper, Claire, Nevaeh, Piper, Lydia\"], [\"what did I eat for breakfast on 2018/09/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13226\", \"logical_representation\": [\"2018/09/12\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/09/12?\", \"44 minutes\"], [\"what did I read on 2018/09/12?\", \"news\"], [\"Did I read on 2018/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/15\": {\"exercise\": {\"eid\": \"e13233\", \"logical_representation\": [\"2018/09/15\", \"biking\"], \"text_template_based\": \"I did biking on 2018/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13234\", \"logical_representation\": [\"2018/09/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson\"], \"text_template_based\": \"I had breakfast with Jackson. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/09/15?\", \"Jackson\"], [\"what did I eat for breakfast on 2018/09/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13235\", \"logical_representation\": [\"2018/09/15\", \"lunch\", \"chinese food\", \"Piper, Hazel, Claire, Avery, Piper, Nevaeh, Layla, Nora, Rylee\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2018/09/16\": {\"exercise\": {\"eid\": \"e13236\", \"logical_representation\": [\"2018/09/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13237\", \"logical_representation\": [\"2018/09/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/09/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13238\", \"logical_representation\": [\"2018/09/16\", \"dinner\", \"sushi\", \"Carter\"], \"text_template_based\": \"I had sushi for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/09/16?\", \"Carter\"], [\"what did I eat for dinner on 2018/09/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13239\", \"logical_representation\": [\"2018/09/16\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/09/16?\", \"51 minutes\"], [\"what did I read on 2018/09/16?\", \"a book\"], [\"Did I read on 2018/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/18\": {\"exercise\": {\"eid\": \"e13245\", \"logical_representation\": [\"2018/09/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/09/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13246\", \"logical_representation\": [\"2018/09/18\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had oatmeal for breakfast with Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/09/18?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for breakfast on 2018/09/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13247\", \"logical_representation\": [\"2018/09/18\", \"lunch\", \"chinese food\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13248\", \"logical_representation\": [\"2018/09/18\", \"dinner\", \"pasta\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/09/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13249\", \"logical_representation\": [\"2018/09/18\", \"Lydia, Kinsley\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley for 22 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley in the morning on 2018/09/18?\", \"22 minutes\"], [\"who did I talk to on 2018/09/18?\", \"Lydia, Kinsley\"], [\"Did I talk to Lydia, Kinsley on 2018/09/18?\", \"yes\"], [\"Did I talk to anyone on 2018/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13250\", \"logical_representation\": [\"2018/09/18\", \"Eva\", \"in the late afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Eva for 31 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the late afternoon on 2018/09/18?\", \"31 minutes\"], [\"who did I talk to on 2018/09/18?\", \"Eva\"], [\"Did I talk to Eva on 2018/09/18?\", \"yes\"], [\"Did I talk to anyone on 2018/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/19\": {\"exercise\": {\"eid\": \"e13251\", \"logical_representation\": [\"2018/09/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/09/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13252\", \"logical_representation\": [\"2018/09/19\", \"breakfast\", \"cereals\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Carter, Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/09/19?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for breakfast on 2018/09/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13253\", \"logical_representation\": [\"2018/09/19\", \"lunch\", \"sandwich\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Emily, Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/09/19?\", \"Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2018/09/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13254\", \"logical_representation\": [\"2018/09/19\", \"Layla, Kinsley, Lydia, Olivia\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Layla, Kinsley, Lydia, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Lydia, Olivia in the morning on 2018/09/19?\", \"30 minutes\"], [\"who did I talk to on 2018/09/19?\", \"Layla, Kinsley, Lydia, Olivia\"], [\"Did I talk to Layla, Kinsley, Lydia, Olivia on 2018/09/19?\", \"yes\"], [\"Did I talk to anyone on 2018/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13255\", \"logical_representation\": [\"2018/09/19\", \"Layla\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Layla for 40 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2018/09/19?\", \"40 minutes\"], [\"who did I talk to on 2018/09/19?\", \"Layla\"], [\"Did I talk to Layla on 2018/09/19?\", \"yes\"], [\"Did I talk to anyone on 2018/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13256\", \"logical_representation\": [\"2018/09/19\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/09/19?\", \"12 minutes\"], [\"what did I read on 2018/09/19?\", \"a book\"], [\"Did I read on 2018/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13257\", \"logical_representation\": [\"2018/09/19\", \"news\", \"21 minutes\"], \"text_template_based\": \"I watched news for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/19?\", \"21 minutes\"], [\"what did I watch on tv on 2018/09/19?\", \"news\"], [\"Did I watch tv on 2018/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/21\": {\"exercise\": {\"eid\": \"e13261\", \"logical_representation\": [\"2018/09/21\", \"biking\"], \"text_template_based\": \"I did biking on 2018/09/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13262\", \"logical_representation\": [\"2018/09/21\", \"Nevaeh, Olivia, Kinsley, Lydia\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Nevaeh, Olivia, Kinsley, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Kinsley, Lydia in the morning on 2018/09/21?\", \"52 minutes\"], [\"who did I talk to on 2018/09/21?\", \"Nevaeh, Olivia, Kinsley, Lydia\"], [\"Did I talk to Nevaeh, Olivia, Kinsley, Lydia on 2018/09/21?\", \"yes\"], [\"Did I talk to anyone on 2018/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13263\", \"logical_representation\": [\"2018/09/21\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/09/21?\", \"18 minutes\"], [\"what did I read on 2018/09/21?\", \"news\"], [\"Did I read on 2018/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13264\", \"logical_representation\": [\"2018/09/21\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I watched a movie for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/21?\", \"45 minutes\"], [\"what did I watch on tv on 2018/09/21?\", \"a movie\"], [\"Did I watch tv on 2018/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/24\": {\"exercise\": {\"eid\": \"e13275\", \"logical_representation\": [\"2018/09/24\", \"biking\"], \"text_template_based\": \"I did biking on 2018/09/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13276\", \"logical_representation\": [\"2018/09/24\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/09/24?\", \"Emily\"], [\"what did I eat for breakfast on 2018/09/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13277\", \"logical_representation\": [\"2018/09/24\", \"lunch\", \"steak\", \"Olivia, Nevaeh, Lydia, Avery, Piper, Rylee, Kinsley, Nora, Piper, Layla\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13278\", \"logical_representation\": [\"2018/09/24\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/24?\", \"9 minutes\"], [\"what did I watch on tv on 2018/09/24?\", \"a documentary\"], [\"Did I watch tv on 2018/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/25\": {\"breakfast\": {\"eid\": \"e13279\", \"logical_representation\": [\"2018/09/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/09/25?\", \"Nevaeh\"], [\"what did I eat for breakfast on 2018/09/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13280\", \"logical_representation\": [\"2018/09/25\", \"Piper, Piper\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper, Piper for 43 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper during lunch hours on 2018/09/25?\", \"43 minutes\"], [\"who did I talk to on 2018/09/25?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2018/09/25?\", \"yes\"], [\"Did I talk to anyone on 2018/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13281\", \"logical_representation\": [\"2018/09/25\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/09/25?\", \"49 minutes\"], [\"what did I read on 2018/09/25?\", \"news\"], [\"Did I read on 2018/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/26\": {\"lunch\": {\"eid\": \"e13282\", \"logical_representation\": [\"2018/09/26\", \"lunch\", \"sushi\", \"Nora, Avery\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13283\", \"logical_representation\": [\"2018/09/26\", \"dinner\", \"sushi\", \"Carter\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/09/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13284\", \"logical_representation\": [\"2018/09/26\", \"Lydia\", \"in the early evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2018/09/26?\", \"13 minutes\"], [\"who did I talk to on 2018/09/26?\", \"Lydia\"], [\"Did I talk to Lydia on 2018/09/26?\", \"yes\"], [\"Did I talk to anyone on 2018/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13285\", \"logical_representation\": [\"2018/09/26\", \"a documentary\", \"11 minutes\"], \"text_template_based\": \"I watched a documentary for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/26?\", \"11 minutes\"], [\"what did I watch on tv on 2018/09/26?\", \"a documentary\"], [\"Did I watch tv on 2018/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/27\": {\"exercise\": {\"eid\": \"e13286\", \"logical_representation\": [\"2018/09/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/09/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13287\", \"logical_representation\": [\"2018/09/27\", \"lunch\", \"indian food\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had indian food for lunch with Willow, Avery, Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/09/27?\", \"Willow, Avery, Benjamin, Jackson\"], [\"what did I eat for lunch on 2018/09/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13288\", \"logical_representation\": [\"2018/09/27\", \"dinner\", \"steak\", \"Willow, Avery\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/09/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13289\", \"logical_representation\": [\"2018/09/27\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/09/27?\", \"28 minutes\"], [\"what did I read on 2018/09/27?\", \"social media\"], [\"Did I read on 2018/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/28\": {\"exercise\": {\"eid\": \"e13290\", \"logical_representation\": [\"2018/09/28\", \"biking\"], \"text_template_based\": \"I did biking on 2018/09/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13291\", \"logical_representation\": [\"2018/09/28\", \"breakfast\", \"pancakes\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/09/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13292\", \"logical_representation\": [\"2018/09/28\", \"dinner\", \"indian food\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had indian food for dinner with Emily, Carter, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/09/28?\", \"Emily, Carter, Andrew, Kayden\"], [\"what did I eat for dinner on 2018/09/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13293\", \"logical_representation\": [\"2018/09/28\", \"Nevaeh, Avery, Piper\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Avery, Piper for 49 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Piper late in the evening on 2018/09/28?\", \"49 minutes\"], [\"who did I talk to on 2018/09/28?\", \"Nevaeh, Avery, Piper\"], [\"Did I talk to Nevaeh, Avery, Piper on 2018/09/28?\", \"yes\"], [\"Did I talk to anyone on 2018/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13294\", \"logical_representation\": [\"2018/09/28\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/09/28?\", \"20 minutes\"], [\"what did I read on 2018/09/28?\", \"social media\"], [\"Did I read on 2018/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/30\": {\"exercise\": {\"eid\": \"e13298\", \"logical_representation\": [\"2018/09/30\", \"running\"], \"text_template_based\": \"I did running on 2018/09/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13299\", \"logical_representation\": [\"2018/09/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Nora, Hazel, Eva, Claire, Kinsley, Layla, Olivia, Lydia\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/09/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13300\", \"logical_representation\": [\"2018/09/30\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/09/30?\", \"12 minutes\"], [\"what did I read on 2018/09/30?\", \"a book\"], [\"Did I read on 2018/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13301\", \"logical_representation\": [\"2018/09/30\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I watched a tv series for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/30?\", \"27 minutes\"], [\"what did I watch on tv on 2018/09/30?\", \"a tv series\"], [\"Did I watch tv on 2018/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/01\": {\"exercise\": {\"eid\": \"e13302\", \"logical_representation\": [\"2018/10/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/10/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13303\", \"logical_representation\": [\"2018/10/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13304\", \"logical_representation\": [\"2018/10/01\", \"lunch\", \"sushi\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had sushi for lunch with Emily, Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/10/01?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2018/10/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13305\", \"logical_representation\": [\"2018/10/01\", \"dinner\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13306\", \"logical_representation\": [\"2018/10/01\", \"Hazel, Piper, Avery\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Avery for 33 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Avery during lunch hours on 2018/10/01?\", \"33 minutes\"], [\"who did I talk to on 2018/10/01?\", \"Hazel, Piper, Avery\"], [\"Did I talk to Hazel, Piper, Avery on 2018/10/01?\", \"yes\"], [\"Did I talk to anyone on 2018/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13307\", \"logical_representation\": [\"2018/10/01\", \"Rylee\", \"in the morning\", \"42 minutes\"], \"text_template_based\": \"I talked to Rylee for 42 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2018/10/01?\", \"42 minutes\"], [\"who did I talk to on 2018/10/01?\", \"Rylee\"], [\"Did I talk to Rylee on 2018/10/01?\", \"yes\"], [\"Did I talk to anyone on 2018/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13308\", \"logical_representation\": [\"2018/10/01\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/10/01?\", \"34 minutes\"], [\"what did I read on 2018/10/01?\", \"social media\"], [\"Did I read on 2018/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13309\", \"logical_representation\": [\"2018/10/01\", \"a movie\", \"55 minutes\"], \"text_template_based\": \"I watched a movie for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/01?\", \"55 minutes\"], [\"what did I watch on tv on 2018/10/01?\", \"a movie\"], [\"Did I watch tv on 2018/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/03\": {\"exercise\": {\"eid\": \"e13311\", \"logical_representation\": [\"2018/10/03\", \"running\"], \"text_template_based\": \"I did running on 2018/10/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13312\", \"logical_representation\": [\"2018/10/03\", \"Avery, Olivia, Claire\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia, Claire for 53 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Claire late in the evening on 2018/10/03?\", \"53 minutes\"], [\"who did I talk to on 2018/10/03?\", \"Avery, Olivia, Claire\"], [\"Did I talk to Avery, Olivia, Claire on 2018/10/03?\", \"yes\"], [\"Did I talk to anyone on 2018/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13313\", \"logical_representation\": [\"2018/10/03\", \"news\", \"7 minutes\"], \"text_template_based\": \"I watched news for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/03?\", \"7 minutes\"], [\"what did I watch on tv on 2018/10/03?\", \"news\"], [\"Did I watch tv on 2018/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/04\": {\"dinner\": {\"eid\": \"e13314\", \"logical_representation\": [\"2018/10/04\", \"dinner\", \"chinese food\", \"Andrew, Emily\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13315\", \"logical_representation\": [\"2018/10/04\", \"Claire\", \"in the late afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Claire for 8 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2018/10/04?\", \"8 minutes\"], [\"who did I talk to on 2018/10/04?\", \"Claire\"], [\"Did I talk to Claire on 2018/10/04?\", \"yes\"], [\"Did I talk to anyone on 2018/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13316\", \"logical_representation\": [\"2018/10/04\", \"Olivia, Piper, Avery\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Olivia, Piper, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Avery late in the evening on 2018/10/04?\", \"37 minutes\"], [\"who did I talk to on 2018/10/04?\", \"Olivia, Piper, Avery\"], [\"Did I talk to Olivia, Piper, Avery on 2018/10/04?\", \"yes\"], [\"Did I talk to anyone on 2018/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13317\", \"logical_representation\": [\"2018/10/04\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/10/04?\", \"31 minutes\"], [\"what did I read on 2018/10/04?\", \"social media\"], [\"Did I read on 2018/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/06\": {\"breakfast\": {\"eid\": \"e13319\", \"logical_representation\": [\"2018/10/06\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13320\", \"logical_representation\": [\"2018/10/06\", \"dinner\", \"steak\", \"Carter, Kayden\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13321\", \"logical_representation\": [\"2018/10/06\", \"Nevaeh, Hazel\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Nevaeh, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel late in the evening on 2018/10/06?\", \"9 minutes\"], [\"who did I talk to on 2018/10/06?\", \"Nevaeh, Hazel\"], [\"Did I talk to Nevaeh, Hazel on 2018/10/06?\", \"yes\"], [\"Did I talk to anyone on 2018/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13322\", \"logical_representation\": [\"2018/10/06\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/06?\", \"16 minutes\"], [\"what did I watch on tv on 2018/10/06?\", \"news\"], [\"Did I watch tv on 2018/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/09\": {\"exercise\": {\"eid\": \"e13331\", \"logical_representation\": [\"2018/10/09\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/10/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/09?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13332\", \"logical_representation\": [\"2018/10/09\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/10/09?\", \"Andrew, Carter, Emily\"], [\"what did I eat for breakfast on 2018/10/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13333\", \"logical_representation\": [\"2018/10/09\", \"lunch\", \"sushi\", \"Eva, Kinsley, Avery, Rylee, Nora\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/10/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13334\", \"logical_representation\": [\"2018/10/09\", \"dinner\", \"steak\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/09\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2018/10/11\": {\"breakfast\": {\"eid\": \"e13337\", \"logical_representation\": [\"2018/10/11\", \"breakfast\", \"pancakes\", \"Emily, Kayden\"], \"text_template_based\": \"I had pancakes for breakfast with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/10/11?\", \"Emily, Kayden\"], [\"what did I eat for breakfast on 2018/10/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13338\", \"logical_representation\": [\"2018/10/11\", \"lunch\", \"sushi\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/10/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13339\", \"logical_representation\": [\"2018/10/11\", \"Hazel, Claire\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Hazel, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire in the early afternoon on 2018/10/11?\", \"47 minutes\"], [\"who did I talk to on 2018/10/11?\", \"Hazel, Claire\"], [\"Did I talk to Hazel, Claire on 2018/10/11?\", \"yes\"], [\"Did I talk to anyone on 2018/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13340\", \"logical_representation\": [\"2018/10/11\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I watched a tv series for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/11?\", \"32 minutes\"], [\"what did I watch on tv on 2018/10/11?\", \"a tv series\"], [\"Did I watch tv on 2018/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/12\": {\"exercise\": {\"eid\": \"e13341\", \"logical_representation\": [\"2018/10/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/10/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13342\", \"logical_representation\": [\"2018/10/12\", \"breakfast\", \"oatmeal\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had oatmeal for breakfast with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/10/12?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2018/10/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13343\", \"logical_representation\": [\"2018/10/12\", \"lunch\", \"indian food\", \"Avery, Nora, Nevaeh, Piper, Piper, Eva, Claire, Rylee, Layla, Hazel, Olivia\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/10/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13344\", \"logical_representation\": [\"2018/10/12\", \"dinner\", \"indian food\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had indian food for dinner with Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/10/12?\", \"Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2018/10/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13345\", \"logical_representation\": [\"2018/10/12\", \"Claire, Lydia\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Claire, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia late in the evening on 2018/10/12?\", \"52 minutes\"], [\"who did I talk to on 2018/10/12?\", \"Claire, Lydia\"], [\"Did I talk to Claire, Lydia on 2018/10/12?\", \"yes\"], [\"Did I talk to anyone on 2018/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13346\", \"logical_representation\": [\"2018/10/12\", \"Eva\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Eva for 41 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2018/10/12?\", \"41 minutes\"], [\"who did I talk to on 2018/10/12?\", \"Eva\"], [\"Did I talk to Eva on 2018/10/12?\", \"yes\"], [\"Did I talk to anyone on 2018/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13347\", \"logical_representation\": [\"2018/10/12\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/10/12?\", \"29 minutes\"], [\"what did I read on 2018/10/12?\", \"news\"], [\"Did I read on 2018/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13348\", \"logical_representation\": [\"2018/10/12\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/12?\", \"47 minutes\"], [\"what did I watch on tv on 2018/10/12?\", \"a documentary\"], [\"Did I watch tv on 2018/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/16\": {\"exercise\": {\"eid\": \"e13355\", \"logical_representation\": [\"2018/10/16\", \"running\"], \"text_template_based\": \"I did running on 2018/10/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13356\", \"logical_representation\": [\"2018/10/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Claire\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13357\", \"logical_representation\": [\"2018/10/16\", \"dinner\", \"sandwich\", \"Jackson\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13358\", \"logical_representation\": [\"2018/10/16\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/10/16?\", \"49 minutes\"], [\"what did I read on 2018/10/16?\", \"a book\"], [\"Did I read on 2018/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/18\": {\"breakfast\": {\"eid\": \"e13363\", \"logical_representation\": [\"2018/10/18\", \"breakfast\", \"pancakes\", \"Kayden\"], \"text_template_based\": \"I had pancakes for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/10/18?\", \"Kayden\"], [\"what did I eat for breakfast on 2018/10/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13364\", \"logical_representation\": [\"2018/10/18\", \"dinner\", \"tacos\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had tacos for dinner with Carter, Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/10/18?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2018/10/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13365\", \"logical_representation\": [\"2018/10/18\", \"Rylee, Kinsley\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Rylee, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley in the late afternoon on 2018/10/18?\", \"25 minutes\"], [\"who did I talk to on 2018/10/18?\", \"Rylee, Kinsley\"], [\"Did I talk to Rylee, Kinsley on 2018/10/18?\", \"yes\"], [\"Did I talk to anyone on 2018/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/19\": {\"breakfast\": {\"eid\": \"e13366\", \"logical_representation\": [\"2018/10/19\", \"breakfast\", \"cereals\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast with Benjamin, Jackson. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/10/19?\", \"Benjamin, Jackson\"], [\"what did I eat for breakfast on 2018/10/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13367\", \"logical_representation\": [\"2018/10/19\", \"lunch\", \"chinese food\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/10/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13368\", \"logical_representation\": [\"2018/10/19\", \"dinner\", \"pasta\", \"Jackson\"], \"text_template_based\": \"I had pasta for dinner with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/10/19?\", \"Jackson\"], [\"what did I eat for dinner on 2018/10/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13369\", \"logical_representation\": [\"2018/10/19\", \"Nevaeh, Kinsley, Olivia\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Kinsley, Olivia for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Olivia in the early afternoon on 2018/10/19?\", \"42 minutes\"], [\"who did I talk to on 2018/10/19?\", \"Nevaeh, Kinsley, Olivia\"], [\"Did I talk to Nevaeh, Kinsley, Olivia on 2018/10/19?\", \"yes\"], [\"Did I talk to anyone on 2018/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13370\", \"logical_representation\": [\"2018/10/19\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/10/19?\", \"33 minutes\"], [\"what did I read on 2018/10/19?\", \"social media\"], [\"Did I read on 2018/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/21\": {\"lunch\": {\"eid\": \"e13374\", \"logical_representation\": [\"2018/10/21\", \"lunch\", \"steak\", \"Kayden\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/10/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13375\", \"logical_representation\": [\"2018/10/21\", \"dinner\", \"fish and chips\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/10/21?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2018/10/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13376\", \"logical_representation\": [\"2018/10/21\", \"Kinsley, Piper, Hazel\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Kinsley, Piper, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Hazel in the late afternoon on 2018/10/21?\", \"50 minutes\"], [\"who did I talk to on 2018/10/21?\", \"Kinsley, Piper, Hazel\"], [\"Did I talk to Kinsley, Piper, Hazel on 2018/10/21?\", \"yes\"], [\"Did I talk to anyone on 2018/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13377\", \"logical_representation\": [\"2018/10/21\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/10/21?\", \"19 minutes\"], [\"what did I read on 2018/10/21?\", \"news\"], [\"Did I read on 2018/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13378\", \"logical_representation\": [\"2018/10/21\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I watched a tv series for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/21?\", \"39 minutes\"], [\"what did I watch on tv on 2018/10/21?\", \"a tv series\"], [\"Did I watch tv on 2018/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/22\": {\"dinner\": {\"eid\": \"e13379\", \"logical_representation\": [\"2018/10/22\", \"dinner\", \"tacos\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had tacos for dinner with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/10/22?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2018/10/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13380\", \"logical_representation\": [\"2018/10/22\", \"Olivia\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Olivia for 33 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early afternoon on 2018/10/22?\", \"33 minutes\"], [\"who did I talk to on 2018/10/22?\", \"Olivia\"], [\"Did I talk to Olivia on 2018/10/22?\", \"yes\"], [\"Did I talk to anyone on 2018/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13381\", \"logical_representation\": [\"2018/10/22\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/10/22?\", \"45 minutes\"], [\"what did I read on 2018/10/22?\", \"social media\"], [\"Did I read on 2018/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/23\": {\"exercise\": {\"eid\": \"e13382\", \"logical_representation\": [\"2018/10/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/10/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13383\", \"logical_representation\": [\"2018/10/23\", \"lunch\", \"fish and chips\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/10/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13384\", \"logical_representation\": [\"2018/10/23\", \"dinner\", \"fish and chips\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13385\", \"logical_representation\": [\"2018/10/23\", \"Piper, Avery\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I talked to Piper, Avery for 29 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery in the morning on 2018/10/23?\", \"29 minutes\"], [\"who did I talk to on 2018/10/23?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2018/10/23?\", \"yes\"], [\"Did I talk to anyone on 2018/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13386\", \"logical_representation\": [\"2018/10/23\", \"Rylee, Layla\", \"during lunch hours\", \"22 minutes\"], \"text_template_based\": \"I talked to Rylee, Layla for 22 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla during lunch hours on 2018/10/23?\", \"22 minutes\"], [\"who did I talk to on 2018/10/23?\", \"Rylee, Layla\"], [\"Did I talk to Rylee, Layla on 2018/10/23?\", \"yes\"], [\"Did I talk to anyone on 2018/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/25\": {\"breakfast\": {\"eid\": \"e13391\", \"logical_representation\": [\"2018/10/25\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/25\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13392\", \"logical_representation\": [\"2018/10/25\", \"lunch\", \"pasta\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/10/25\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2018/10/26\": {\"exercise\": {\"eid\": \"e13393\", \"logical_representation\": [\"2018/10/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/10/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2018/10/27\": {\"exercise\": {\"eid\": \"e13394\", \"logical_representation\": [\"2018/10/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/10/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13395\", \"logical_representation\": [\"2018/10/27\", \"social media\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/10/27?\", \"41 minutes\"], [\"what did I read on 2018/10/27?\", \"social media\"], [\"Did I read on 2018/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/28\": {\"dinner\": {\"eid\": \"e13396\", \"logical_representation\": [\"2018/10/28\", \"dinner\", \"a burger\", \"Claire, Kinsley, Piper, Nora, Eva, Rylee\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13397\", \"logical_representation\": [\"2018/10/28\", \"Rylee, Avery\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Rylee, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery in the morning on 2018/10/28?\", \"43 minutes\"], [\"who did I talk to on 2018/10/28?\", \"Rylee, Avery\"], [\"Did I talk to Rylee, Avery on 2018/10/28?\", \"yes\"], [\"Did I talk to anyone on 2018/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/29\": {\"exercise\": {\"eid\": \"e13398\", \"logical_representation\": [\"2018/10/29\", \"running\"], \"text_template_based\": \"I did running on 2018/10/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/29?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13399\", \"logical_representation\": [\"2018/10/29\", \"lunch\", \"a burger\", \"Jackson\"], \"text_template_based\": \"I had lunch with Jackson. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/10/29?\", \"Jackson\"], [\"what did I eat for lunch on 2018/10/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13400\", \"logical_representation\": [\"2018/10/29\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/10/29?\", \"13 minutes\"], [\"what did I read on 2018/10/29?\", \"social media\"], [\"Did I read on 2018/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13401\", \"logical_representation\": [\"2018/10/29\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I watched a documentary for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/29?\", \"17 minutes\"], [\"what did I watch on tv on 2018/10/29?\", \"a documentary\"], [\"Did I watch tv on 2018/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/31\": {\"breakfast\": {\"eid\": \"e13402\", \"logical_representation\": [\"2018/10/31\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/31\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13403\", \"logical_representation\": [\"2018/10/31\", \"Nora, Lydia\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Nora, Lydia for 6 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia in the early evening on 2018/10/31?\", \"6 minutes\"], [\"who did I talk to on 2018/10/31?\", \"Nora, Lydia\"], [\"Did I talk to Nora, Lydia on 2018/10/31?\", \"yes\"], [\"Did I talk to anyone on 2018/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13404\", \"logical_representation\": [\"2018/10/31\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/10/31?\", \"20 minutes\"], [\"what did I read on 2018/10/31?\", \"a book\"], [\"Did I read on 2018/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/02\": {\"breakfast\": {\"eid\": \"e13407\", \"logical_representation\": [\"2018/11/02\", \"breakfast\", \"cereals\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13408\", \"logical_representation\": [\"2018/11/02\", \"Eva, Layla, Claire, Kinsley\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I talked to Eva, Layla, Claire, Kinsley for 6 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Claire, Kinsley during lunch hours on 2018/11/02?\", \"6 minutes\"], [\"who did I talk to on 2018/11/02?\", \"Eva, Layla, Claire, Kinsley\"], [\"Did I talk to Eva, Layla, Claire, Kinsley on 2018/11/02?\", \"yes\"], [\"Did I talk to anyone on 2018/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/04\": {\"exercise\": {\"eid\": \"e13414\", \"logical_representation\": [\"2018/11/04\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/11/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/04?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13415\", \"logical_representation\": [\"2018/11/04\", \"Lydia, Claire, Kinsley, Piper\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Lydia, Claire, Kinsley, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Kinsley, Piper in the early afternoon on 2018/11/04?\", \"39 minutes\"], [\"who did I talk to on 2018/11/04?\", \"Lydia, Claire, Kinsley, Piper\"], [\"Did I talk to Lydia, Claire, Kinsley, Piper on 2018/11/04?\", \"yes\"], [\"Did I talk to anyone on 2018/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13416\", \"logical_representation\": [\"2018/11/04\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/11/04?\", \"38 minutes\"], [\"what did I read on 2018/11/04?\", \"a book\"], [\"Did I read on 2018/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13417\", \"logical_representation\": [\"2018/11/04\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/04?\", \"13 minutes\"], [\"what did I watch on tv on 2018/11/04?\", \"a tv series\"], [\"Did I watch tv on 2018/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/06\": {\"breakfast\": {\"eid\": \"e13418\", \"logical_representation\": [\"2018/11/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13419\", \"logical_representation\": [\"2018/11/06\", \"lunch\", \"steak\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had steak for lunch with Carter, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/11/06?\", \"Carter, Emily, Andrew\"], [\"what did I eat for lunch on 2018/11/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13420\", \"logical_representation\": [\"2018/11/06\", \"dinner\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/11/06\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2018/11/08\": {\"exercise\": {\"eid\": \"e13425\", \"logical_representation\": [\"2018/11/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/11/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13426\", \"logical_representation\": [\"2018/11/08\", \"breakfast\", \"cereals\", \"Avery\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13427\", \"logical_representation\": [\"2018/11/08\", \"dinner\", \"chinese food\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had chinese food for dinner with Emily, Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/11/08?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2018/11/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13428\", \"logical_representation\": [\"2018/11/08\", \"Lydia, Rylee\", \"late in the evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee for 16 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee late in the evening on 2018/11/08?\", \"16 minutes\"], [\"who did I talk to on 2018/11/08?\", \"Lydia, Rylee\"], [\"Did I talk to Lydia, Rylee on 2018/11/08?\", \"yes\"], [\"Did I talk to anyone on 2018/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/09\": {\"exercise\": {\"eid\": \"e13429\", \"logical_representation\": [\"2018/11/09\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/11/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/09?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13430\", \"logical_representation\": [\"2018/11/09\", \"breakfast\", \"pancakes\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/11/09?\", \"Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2018/11/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13431\", \"logical_representation\": [\"2018/11/09\", \"lunch\", \"tacos\", \"Rylee, Eva, Piper, Hazel, Kinsley, Olivia, Lydia, Nora, Layla, Nevaeh\"], \"text_template_based\": \"I had tacos for lunch with Rylee, Eva, Piper, Hazel, Kinsley, Olivia, Lydia, Nora, Layla, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/11/09?\", \"Rylee, Eva, Piper, Hazel, Kinsley, Olivia, Lydia, Nora, Layla, Nevaeh\"], [\"what did I eat for lunch on 2018/11/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13432\", \"logical_representation\": [\"2018/11/09\", \"Piper\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I talked to Piper for 39 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2018/11/09?\", \"39 minutes\"], [\"who did I talk to on 2018/11/09?\", \"Piper\"], [\"Did I talk to Piper on 2018/11/09?\", \"yes\"], [\"Did I talk to anyone on 2018/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13433\", \"logical_representation\": [\"2018/11/09\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I watched a tv series for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/09?\", \"50 minutes\"], [\"what did I watch on tv on 2018/11/09?\", \"a tv series\"], [\"Did I watch tv on 2018/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/11\": {\"exercise\": {\"eid\": \"e13437\", \"logical_representation\": [\"2018/11/11\", \"biking\"], \"text_template_based\": \"I did biking on 2018/11/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13438\", \"logical_representation\": [\"2018/11/11\", \"breakfast\", \"cereals\", \"Nora\"], \"text_template_based\": \"I had breakfast with Nora. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/11/11?\", \"Nora\"], [\"what did I eat for breakfast on 2018/11/11\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13439\", \"logical_representation\": [\"2018/11/11\", \"lunch\", \"a burger\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/11/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13440\", \"logical_representation\": [\"2018/11/11\", \"Lydia, Nora\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I talked to Lydia, Nora for 24 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora during lunch hours on 2018/11/11?\", \"24 minutes\"], [\"who did I talk to on 2018/11/11?\", \"Lydia, Nora\"], [\"Did I talk to Lydia, Nora on 2018/11/11?\", \"yes\"], [\"Did I talk to anyone on 2018/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13441\", \"logical_representation\": [\"2018/11/11\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/11/11?\", \"39 minutes\"], [\"what did I read on 2018/11/11?\", \"news\"], [\"Did I read on 2018/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/12\": {\"lunch\": {\"eid\": \"e13442\", \"logical_representation\": [\"2018/11/12\", \"lunch\", \"a burger\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/11/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13443\", \"logical_representation\": [\"2018/11/12\", \"Hazel\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I talked to Hazel for 21 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2018/11/12?\", \"21 minutes\"], [\"who did I talk to on 2018/11/12?\", \"Hazel\"], [\"Did I talk to Hazel on 2018/11/12?\", \"yes\"], [\"Did I talk to anyone on 2018/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/13\": {\"read\": {\"eid\": \"e13444\", \"logical_representation\": [\"2018/11/13\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/11/13?\", \"14 minutes\"], [\"what did I read on 2018/11/13?\", \"news\"], [\"Did I read on 2018/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13445\", \"logical_representation\": [\"2018/11/13\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/13?\", \"39 minutes\"], [\"what did I watch on tv on 2018/11/13?\", \"a tv series\"], [\"Did I watch tv on 2018/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/14\": {\"lunch\": {\"eid\": \"e13446\", \"logical_representation\": [\"2018/11/14\", \"lunch\", \"sandwich\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/11/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13447\", \"logical_representation\": [\"2018/11/14\", \"dinner\", \"pasta\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/11/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13448\", \"logical_representation\": [\"2018/11/14\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/11/14?\", \"30 minutes\"], [\"what did I read on 2018/11/14?\", \"a book\"], [\"Did I read on 2018/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13449\", \"logical_representation\": [\"2018/11/14\", \"a movie\", \"40 minutes\"], \"text_template_based\": \"I watched a movie for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/14?\", \"40 minutes\"], [\"what did I watch on tv on 2018/11/14?\", \"a movie\"], [\"Did I watch tv on 2018/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/15\": {\"exercise\": {\"eid\": \"e13450\", \"logical_representation\": [\"2018/11/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/11/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13451\", \"logical_representation\": [\"2018/11/15\", \"breakfast\", \"pancakes\", \"Kinsley, Rylee, Nora, Avery, Eva, Hazel, Piper, Nevaeh\"], \"text_template_based\": \"I had breakfast with Kinsley, Rylee, Nora, Avery, Eva, Hazel, Piper, Nevaeh. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/11/15?\", \"Kinsley, Rylee, Nora, Avery, Eva, Hazel, Piper, Nevaeh\"], [\"what did I eat for breakfast on 2018/11/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13452\", \"logical_representation\": [\"2018/11/15\", \"dinner\", \"indian food\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Avery, Jackson. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/11/15?\", \"Benjamin, Avery, Jackson\"], [\"what did I eat for dinner on 2018/11/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13453\", \"logical_representation\": [\"2018/11/15\", \"Piper\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2018/11/15?\", \"21 minutes\"], [\"who did I talk to on 2018/11/15?\", \"Piper\"], [\"Did I talk to Piper on 2018/11/15?\", \"yes\"], [\"Did I talk to anyone on 2018/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13454\", \"logical_representation\": [\"2018/11/15\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I watched a movie for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/15?\", \"13 minutes\"], [\"what did I watch on tv on 2018/11/15?\", \"a movie\"], [\"Did I watch tv on 2018/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/18\": {\"exercise\": {\"eid\": \"e13466\", \"logical_representation\": [\"2018/11/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/11/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13467\", \"logical_representation\": [\"2018/11/18\", \"dinner\", \"sushi\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/11/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13468\", \"logical_representation\": [\"2018/11/18\", \"Claire\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Claire for 40 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2018/11/18?\", \"40 minutes\"], [\"who did I talk to on 2018/11/18?\", \"Claire\"], [\"Did I talk to Claire on 2018/11/18?\", \"yes\"], [\"Did I talk to anyone on 2018/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13469\", \"logical_representation\": [\"2018/11/18\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I watched a movie for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/18?\", \"29 minutes\"], [\"what did I watch on tv on 2018/11/18?\", \"a movie\"], [\"Did I watch tv on 2018/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/19\": {\"read\": {\"eid\": \"e13470\", \"logical_representation\": [\"2018/11/19\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/11/19?\", \"15 minutes\"], [\"what did I read on 2018/11/19?\", \"a book\"], [\"Did I read on 2018/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/21\": {\"exercise\": {\"eid\": \"e13474\", \"logical_representation\": [\"2018/11/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/11/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13475\", \"logical_representation\": [\"2018/11/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13476\", \"logical_representation\": [\"2018/11/21\", \"lunch\", \"sandwich\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had sandwich for lunch with Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/11/21?\", \"Avery, Jackson, Willow\"], [\"what did I eat for lunch on 2018/11/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13477\", \"logical_representation\": [\"2018/11/21\", \"dinner\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had sushi for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/11/21?\", \"Emily\"], [\"what did I eat for dinner on 2018/11/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13478\", \"logical_representation\": [\"2018/11/21\", \"Claire, Layla, Hazel, Rylee\", \"in the morning\", \"28 minutes\"], \"text_template_based\": \"I talked to Claire, Layla, Hazel, Rylee for 28 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Hazel, Rylee in the morning on 2018/11/21?\", \"28 minutes\"], [\"who did I talk to on 2018/11/21?\", \"Claire, Layla, Hazel, Rylee\"], [\"Did I talk to Claire, Layla, Hazel, Rylee on 2018/11/21?\", \"yes\"], [\"Did I talk to anyone on 2018/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13479\", \"logical_representation\": [\"2018/11/21\", \"a documentary\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/21?\", \"49 minutes\"], [\"what did I watch on tv on 2018/11/21?\", \"a documentary\"], [\"Did I watch tv on 2018/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/22\": {\"lunch\": {\"eid\": \"e13480\", \"logical_representation\": [\"2018/11/22\", \"lunch\", \"sushi\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/11/22\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2018/11/24\": {\"breakfast\": {\"eid\": \"e13488\", \"logical_representation\": [\"2018/11/24\", \"breakfast\", \"cereals\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/24\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13489\", \"logical_representation\": [\"2018/11/24\", \"lunch\", \"sushi\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Kayden, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/11/24?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2018/11/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13490\", \"logical_representation\": [\"2018/11/24\", \"Avery\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Avery for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2018/11/24?\", \"43 minutes\"], [\"who did I talk to on 2018/11/24?\", \"Avery\"], [\"Did I talk to Avery on 2018/11/24?\", \"yes\"], [\"Did I talk to anyone on 2018/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13491\", \"logical_representation\": [\"2018/11/24\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/11/24?\", \"12 minutes\"], [\"what did I read on 2018/11/24?\", \"social media\"], [\"Did I read on 2018/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13492\", \"logical_representation\": [\"2018/11/24\", \"a movie\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/24?\", \"31 minutes\"], [\"what did I watch on tv on 2018/11/24?\", \"a movie\"], [\"Did I watch tv on 2018/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/26\": {\"breakfast\": {\"eid\": \"e13498\", \"logical_representation\": [\"2018/11/26\", \"breakfast\", \"toast and cheese\", \"Eva, Olivia, Nora\"], \"text_template_based\": \"I had toast and cheese for breakfast with Eva, Olivia, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/11/26?\", \"Eva, Olivia, Nora\"], [\"what did I eat for breakfast on 2018/11/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13499\", \"logical_representation\": [\"2018/11/26\", \"dinner\", \"sandwich\", \"Avery, Benjamin\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/11/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13500\", \"logical_representation\": [\"2018/11/26\", \"Piper, Eva\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper, Eva for 43 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva during lunch hours on 2018/11/26?\", \"43 minutes\"], [\"who did I talk to on 2018/11/26?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2018/11/26?\", \"yes\"], [\"Did I talk to anyone on 2018/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13501\", \"logical_representation\": [\"2018/11/26\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/11/26?\", \"41 minutes\"], [\"what did I read on 2018/11/26?\", \"a book\"], [\"Did I read on 2018/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/27\": {\"watch tv\": {\"eid\": \"e13502\", \"logical_representation\": [\"2018/11/27\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/27?\", \"9 minutes\"], [\"what did I watch on tv on 2018/11/27?\", \"a tv series\"], [\"Did I watch tv on 2018/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/01\": {\"exercise\": {\"eid\": \"e13516\", \"logical_representation\": [\"2018/12/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/12/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13517\", \"logical_representation\": [\"2018/12/01\", \"lunch\", \"steak\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/12/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13518\", \"logical_representation\": [\"2018/12/01\", \"Kinsley, Rylee, Nora, Piper\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee, Nora, Piper for 52 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Nora, Piper in the early evening on 2018/12/01?\", \"52 minutes\"], [\"who did I talk to on 2018/12/01?\", \"Kinsley, Rylee, Nora, Piper\"], [\"Did I talk to Kinsley, Rylee, Nora, Piper on 2018/12/01?\", \"yes\"], [\"Did I talk to anyone on 2018/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13519\", \"logical_representation\": [\"2018/12/01\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I watched a movie for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/01?\", \"48 minutes\"], [\"what did I watch on tv on 2018/12/01?\", \"a movie\"], [\"Did I watch tv on 2018/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/02\": {\"dinner\": {\"eid\": \"e13520\", \"logical_representation\": [\"2018/12/02\", \"dinner\", \"chinese food\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13521\", \"logical_representation\": [\"2018/12/02\", \"Nevaeh, Rylee, Kinsley\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee, Kinsley for 27 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Kinsley in the early afternoon on 2018/12/02?\", \"27 minutes\"], [\"who did I talk to on 2018/12/02?\", \"Nevaeh, Rylee, Kinsley\"], [\"Did I talk to Nevaeh, Rylee, Kinsley on 2018/12/02?\", \"yes\"], [\"Did I talk to anyone on 2018/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13522\", \"logical_representation\": [\"2018/12/02\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I watched a tv series for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/02?\", \"34 minutes\"], [\"what did I watch on tv on 2018/12/02?\", \"a tv series\"], [\"Did I watch tv on 2018/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/03\": {\"breakfast\": {\"eid\": \"e13523\", \"logical_representation\": [\"2018/12/03\", \"breakfast\", \"oatmeal\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Emily, Carter. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/12/03?\", \"Andrew, Emily, Carter\"], [\"what did I eat for breakfast on 2018/12/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13524\", \"logical_representation\": [\"2018/12/03\", \"dinner\", \"a burger\", \"Eva, Hazel, Nevaeh, Claire, Layla\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13525\", \"logical_representation\": [\"2018/12/03\", \"a documentary\", \"18 minutes\"], \"text_template_based\": \"I watched a documentary for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/03?\", \"18 minutes\"], [\"what did I watch on tv on 2018/12/03?\", \"a documentary\"], [\"Did I watch tv on 2018/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/04\": {\"exercise\": {\"eid\": \"e13526\", \"logical_representation\": [\"2018/12/04\", \"running\"], \"text_template_based\": \"I did running on 2018/12/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/04?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13527\", \"logical_representation\": [\"2018/12/04\", \"breakfast\", \"oatmeal\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I had oatmeal for breakfast with Jackson, Avery, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/12/04?\", \"Jackson, Avery, Willow, Benjamin\"], [\"what did I eat for breakfast on 2018/12/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13528\", \"logical_representation\": [\"2018/12/04\", \"lunch\", \"sushi\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had sushi for lunch with Benjamin, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/12/04?\", \"Benjamin, Avery, Jackson\"], [\"what did I eat for lunch on 2018/12/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13529\", \"logical_representation\": [\"2018/12/04\", \"Eva\", \"during lunch hours\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2018/12/04?\", \"16 minutes\"], [\"who did I talk to on 2018/12/04?\", \"Eva\"], [\"Did I talk to Eva on 2018/12/04?\", \"yes\"], [\"Did I talk to anyone on 2018/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13530\", \"logical_representation\": [\"2018/12/04\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/12/04?\", \"35 minutes\"], [\"what did I read on 2018/12/04?\", \"news\"], [\"Did I read on 2018/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13531\", \"logical_representation\": [\"2018/12/04\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/04?\", \"50 minutes\"], [\"what did I watch on tv on 2018/12/04?\", \"news\"], [\"Did I watch tv on 2018/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/05\": {\"breakfast\": {\"eid\": \"e13532\", \"logical_representation\": [\"2018/12/05\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13533\", \"logical_representation\": [\"2018/12/05\", \"dinner\", \"a burger\", \"Piper, Nora, Olivia, Piper, Lydia, Rylee, Nevaeh, Avery, Eva, Hazel, Layla, Claire\"], \"text_template_based\": \"I had a burger for dinner with Piper, Nora, Olivia, Piper, Lydia, Rylee, Nevaeh, Avery, Eva, Hazel, Layla, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/12/05?\", \"Piper, Nora, Olivia, Piper, Lydia, Rylee, Nevaeh, Avery, Eva, Hazel, Layla, Claire\"], [\"what did I eat for dinner on 2018/12/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13534\", \"logical_representation\": [\"2018/12/05\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/12/05?\", \"44 minutes\"], [\"what did I read on 2018/12/05?\", \"news\"], [\"Did I read on 2018/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/07\": {\"exercise\": {\"eid\": \"e13539\", \"logical_representation\": [\"2018/12/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/12/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13540\", \"logical_representation\": [\"2018/12/07\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13541\", \"logical_representation\": [\"2018/12/07\", \"lunch\", \"indian food\", \"Avery, Claire, Eva, Rylee, Layla, Nora\"], \"text_template_based\": \"I had indian food for lunch with Avery, Claire, Eva, Rylee, Layla, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/12/07?\", \"Avery, Claire, Eva, Rylee, Layla, Nora\"], [\"what did I eat for lunch on 2018/12/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13542\", \"logical_representation\": [\"2018/12/07\", \"dinner\", \"indian food\", \"Piper, Kinsley, Nora, Avery, Lydia, Claire, Rylee, Olivia, Layla, Eva\"], \"text_template_based\": \"I had indian food for dinner with Piper, Kinsley, Nora, Avery, Lydia, Claire, Rylee, Olivia, Layla, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/12/07?\", \"Piper, Kinsley, Nora, Avery, Lydia, Claire, Rylee, Olivia, Layla, Eva\"], [\"what did I eat for dinner on 2018/12/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13543\", \"logical_representation\": [\"2018/12/07\", \"Avery\", \"late in the evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Avery for 50 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2018/12/07?\", \"50 minutes\"], [\"who did I talk to on 2018/12/07?\", \"Avery\"], [\"Did I talk to Avery on 2018/12/07?\", \"yes\"], [\"Did I talk to anyone on 2018/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13544\", \"logical_representation\": [\"2018/12/07\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/12/07?\", \"46 minutes\"], [\"what did I read on 2018/12/07?\", \"a book\"], [\"Did I read on 2018/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13545\", \"logical_representation\": [\"2018/12/07\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I watched a documentary for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/07?\", \"53 minutes\"], [\"what did I watch on tv on 2018/12/07?\", \"a documentary\"], [\"Did I watch tv on 2018/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/08\": {\"exercise\": {\"eid\": \"e13546\", \"logical_representation\": [\"2018/12/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/12/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13547\", \"logical_representation\": [\"2018/12/08\", \"dinner\", \"pasta\", \"Carter\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13548\", \"logical_representation\": [\"2018/12/08\", \"Layla\", \"in the late afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Layla for 16 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the late afternoon on 2018/12/08?\", \"16 minutes\"], [\"who did I talk to on 2018/12/08?\", \"Layla\"], [\"Did I talk to Layla on 2018/12/08?\", \"yes\"], [\"Did I talk to anyone on 2018/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13549\", \"logical_representation\": [\"2018/12/08\", \"Piper, Layla\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I talked to Piper, Layla for 30 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla in the late afternoon on 2018/12/08?\", \"30 minutes\"], [\"who did I talk to on 2018/12/08?\", \"Piper, Layla\"], [\"Did I talk to Piper, Layla on 2018/12/08?\", \"yes\"], [\"Did I talk to anyone on 2018/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13550\", \"logical_representation\": [\"2018/12/08\", \"a tv series\", \"15 minutes\"], \"text_template_based\": \"I watched a tv series for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/08?\", \"15 minutes\"], [\"what did I watch on tv on 2018/12/08?\", \"a tv series\"], [\"Did I watch tv on 2018/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/10\": {\"lunch\": {\"eid\": \"e13555\", \"logical_representation\": [\"2018/12/10\", \"lunch\", \"a burger\", \"Rylee, Nevaeh, Olivia\"], \"text_template_based\": \"I had lunch with Rylee, Nevaeh, Olivia. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/12/10?\", \"Rylee, Nevaeh, Olivia\"], [\"what did I eat for lunch on 2018/12/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13556\", \"logical_representation\": [\"2018/12/10\", \"dinner\", \"sandwich\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13557\", \"logical_representation\": [\"2018/12/10\", \"Nevaeh, Lydia, Olivia, Nora\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Nevaeh, Lydia, Olivia, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Olivia, Nora late in the evening on 2018/12/10?\", \"26 minutes\"], [\"who did I talk to on 2018/12/10?\", \"Nevaeh, Lydia, Olivia, Nora\"], [\"Did I talk to Nevaeh, Lydia, Olivia, Nora on 2018/12/10?\", \"yes\"], [\"Did I talk to anyone on 2018/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/11\": {\"breakfast\": {\"eid\": \"e13558\", \"logical_representation\": [\"2018/12/11\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/11\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13559\", \"logical_representation\": [\"2018/12/11\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/12/11?\", \"10 minutes\"], [\"what did I read on 2018/12/11?\", \"a book\"], [\"Did I read on 2018/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/12\": {\"breakfast\": {\"eid\": \"e13560\", \"logical_representation\": [\"2018/12/12\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Nora\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Layla, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/12/12?\", \"Layla, Nora\"], [\"what did I eat for breakfast on 2018/12/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13561\", \"logical_representation\": [\"2018/12/12\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I watched a tv series for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/12?\", \"23 minutes\"], [\"what did I watch on tv on 2018/12/12?\", \"a tv series\"], [\"Did I watch tv on 2018/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/13\": {\"lunch\": {\"eid\": \"e13562\", \"logical_representation\": [\"2018/12/13\", \"lunch\", \"a burger\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/12/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13563\", \"logical_representation\": [\"2018/12/13\", \"dinner\", \"indian food\", \"Nevaeh, Lydia, Kinsley, Nora, Avery, Layla, Eva, Piper, Olivia, Hazel, Claire, Rylee, Piper\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13564\", \"logical_representation\": [\"2018/12/13\", \"Olivia\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Olivia for 35 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2018/12/13?\", \"35 minutes\"], [\"who did I talk to on 2018/12/13?\", \"Olivia\"], [\"Did I talk to Olivia on 2018/12/13?\", \"yes\"], [\"Did I talk to anyone on 2018/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13565\", \"logical_representation\": [\"2018/12/13\", \"news\", \"19 minutes\"], \"text_template_based\": \"I watched news for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/13?\", \"19 minutes\"], [\"what did I watch on tv on 2018/12/13?\", \"news\"], [\"Did I watch tv on 2018/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/14\": {\"breakfast\": {\"eid\": \"e13566\", \"logical_representation\": [\"2018/12/14\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden, Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/12/14?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2018/12/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13567\", \"logical_representation\": [\"2018/12/14\", \"dinner\", \"chinese food\", \"Piper, Lydia, Avery, Nora, Eva, Rylee\"], \"text_template_based\": \"I had chinese food for dinner with Piper, Lydia, Avery, Nora, Eva, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/12/14?\", \"Piper, Lydia, Avery, Nora, Eva, Rylee\"], [\"what did I eat for dinner on 2018/12/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13568\", \"logical_representation\": [\"2018/12/14\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I watched a documentary for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/14?\", \"22 minutes\"], [\"what did I watch on tv on 2018/12/14?\", \"a documentary\"], [\"Did I watch tv on 2018/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/15\": {\"exercise\": {\"eid\": \"e13569\", \"logical_representation\": [\"2018/12/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/12/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2018/12/16\": {\"breakfast\": {\"eid\": \"e13570\", \"logical_representation\": [\"2018/12/16\", \"breakfast\", \"oatmeal\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13571\", \"logical_representation\": [\"2018/12/16\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/16?\", \"37 minutes\"], [\"what did I watch on tv on 2018/12/16?\", \"news\"], [\"Did I watch tv on 2018/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/17\": {\"exercise\": {\"eid\": \"e13572\", \"logical_representation\": [\"2018/12/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/12/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13573\", \"logical_representation\": [\"2018/12/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Rylee, Lydia, Avery, Claire, Layla, Piper, Kinsley, Nevaeh, Olivia, Nora\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Piper, Rylee, Lydia, Avery, Claire, Layla, Piper, Kinsley, Nevaeh, Olivia, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/12/17?\", \"Piper, Rylee, Lydia, Avery, Claire, Layla, Piper, Kinsley, Nevaeh, Olivia, Nora\"], [\"what did I eat for breakfast on 2018/12/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13574\", \"logical_representation\": [\"2018/12/17\", \"lunch\", \"sushi\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/12/17\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2018/12/18\": {\"exercise\": {\"eid\": \"e13575\", \"logical_representation\": [\"2018/12/18\", \"running\"], \"text_template_based\": \"I did running on 2018/12/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/18?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13576\", \"logical_representation\": [\"2018/12/18\", \"breakfast\", \"pancakes\", \"Piper, Nora, Kinsley, Claire, Piper, Hazel, Olivia, Rylee\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13577\", \"logical_representation\": [\"2018/12/18\", \"lunch\", \"tacos\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/12/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13578\", \"logical_representation\": [\"2018/12/18\", \"dinner\", \"sushi\", \"Olivia, Avery, Piper, Claire, Piper, Hazel, Nora, Nevaeh, Eva, Lydia\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13579\", \"logical_representation\": [\"2018/12/18\", \"Lydia, Olivia, Claire\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia, Claire for 51 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Claire in the late afternoon on 2018/12/18?\", \"51 minutes\"], [\"who did I talk to on 2018/12/18?\", \"Lydia, Olivia, Claire\"], [\"Did I talk to Lydia, Olivia, Claire on 2018/12/18?\", \"yes\"], [\"Did I talk to anyone on 2018/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13580\", \"logical_representation\": [\"2018/12/18\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/12/18?\", \"14 minutes\"], [\"what did I read on 2018/12/18?\", \"news\"], [\"Did I read on 2018/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/19\": {\"exercise\": {\"eid\": \"e13581\", \"logical_representation\": [\"2018/12/19\", \"biking\"], \"text_template_based\": \"I did biking on 2018/12/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13582\", \"logical_representation\": [\"2018/12/19\", \"lunch\", \"steak\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/12/19\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13583\", \"logical_representation\": [\"2018/12/19\", \"dinner\", \"chinese food\", \"Eva, Layla, Hazel, Olivia, Piper, Rylee, Piper, Lydia, Nora, Avery, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13584\", \"logical_representation\": [\"2018/12/19\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/12/19?\", \"25 minutes\"], [\"what did I read on 2018/12/19?\", \"news\"], [\"Did I read on 2018/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/21\": {\"exercise\": {\"eid\": \"e13588\", \"logical_representation\": [\"2018/12/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/12/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13589\", \"logical_representation\": [\"2018/12/21\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I watched a movie for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/21?\", \"14 minutes\"], [\"what did I watch on tv on 2018/12/21?\", \"a movie\"], [\"Did I watch tv on 2018/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/22\": {\"exercise\": {\"eid\": \"e13590\", \"logical_representation\": [\"2018/12/22\", \"running\"], \"text_template_based\": \"I did running on 2018/12/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13591\", \"logical_representation\": [\"2018/12/22\", \"lunch\", \"sushi\", \"Eva, Kinsley, Avery, Piper, Nora, Piper, Lydia, Olivia, Claire\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/12/22\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13592\", \"logical_representation\": [\"2018/12/22\", \"dinner\", \"pasta\", \"Kinsley, Eva\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13593\", \"logical_representation\": [\"2018/12/22\", \"Piper, Piper\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Piper, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper in the early afternoon on 2018/12/22?\", \"7 minutes\"], [\"who did I talk to on 2018/12/22?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2018/12/22?\", \"yes\"], [\"Did I talk to anyone on 2018/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13594\", \"logical_representation\": [\"2018/12/22\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/12/22?\", \"49 minutes\"], [\"what did I read on 2018/12/22?\", \"news\"], [\"Did I read on 2018/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13595\", \"logical_representation\": [\"2018/12/22\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I watched a documentary for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/22?\", \"9 minutes\"], [\"what did I watch on tv on 2018/12/22?\", \"a documentary\"], [\"Did I watch tv on 2018/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/23\": {\"exercise\": {\"eid\": \"e13596\", \"logical_representation\": [\"2018/12/23\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/12/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/23?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13597\", \"logical_representation\": [\"2018/12/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/12/23?\", \"Carter, Kayden\"], [\"what did I eat for breakfast on 2018/12/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13598\", \"logical_representation\": [\"2018/12/23\", \"lunch\", \"fish and chips\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/12/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13599\", \"logical_representation\": [\"2018/12/23\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/23?\", \"9 minutes\"], [\"what did I watch on tv on 2018/12/23?\", \"a tv series\"], [\"Did I watch tv on 2018/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/24\": {\"breakfast\": {\"eid\": \"e13600\", \"logical_representation\": [\"2018/12/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13601\", \"logical_representation\": [\"2018/12/24\", \"dinner\", \"chinese food\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13602\", \"logical_representation\": [\"2018/12/24\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/12/24?\", \"39 minutes\"], [\"what did I read on 2018/12/24?\", \"a book\"], [\"Did I read on 2018/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/25\": {\"breakfast\": {\"eid\": \"e13603\", \"logical_representation\": [\"2018/12/25\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast with Benjamin, Jackson. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/12/25?\", \"Benjamin, Jackson\"], [\"what did I eat for breakfast on 2018/12/25\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13604\", \"logical_representation\": [\"2018/12/25\", \"dinner\", \"a burger\", \"Claire, Nevaeh, Olivia, Hazel, Lydia, Eva, Piper, Piper, Rylee, Avery, Nora\"], \"text_template_based\": \"I had a burger for dinner with Claire, Nevaeh, Olivia, Hazel, Lydia, Eva, Piper, Piper, Rylee, Avery, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/12/25?\", \"Claire, Nevaeh, Olivia, Hazel, Lydia, Eva, Piper, Piper, Rylee, Avery, Nora\"], [\"what did I eat for dinner on 2018/12/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13605\", \"logical_representation\": [\"2018/12/25\", \"Lydia\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Lydia for 47 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2018/12/25?\", \"47 minutes\"], [\"who did I talk to on 2018/12/25?\", \"Lydia\"], [\"Did I talk to Lydia on 2018/12/25?\", \"yes\"], [\"Did I talk to anyone on 2018/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13606\", \"logical_representation\": [\"2018/12/25\", \"Olivia, Nora\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Olivia, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora in the late afternoon on 2018/12/25?\", \"13 minutes\"], [\"who did I talk to on 2018/12/25?\", \"Olivia, Nora\"], [\"Did I talk to Olivia, Nora on 2018/12/25?\", \"yes\"], [\"Did I talk to anyone on 2018/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13607\", \"logical_representation\": [\"2018/12/25\", \"a book\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/12/25?\", \"21 minutes\"], [\"what did I read on 2018/12/25?\", \"a book\"], [\"Did I read on 2018/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13608\", \"logical_representation\": [\"2018/12/25\", \"a movie\", \"34 minutes\"], \"text_template_based\": \"I watched a movie for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/25?\", \"34 minutes\"], [\"what did I watch on tv on 2018/12/25?\", \"a movie\"], [\"Did I watch tv on 2018/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/26\": {\"exercise\": {\"eid\": \"e13609\", \"logical_representation\": [\"2018/12/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/12/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13610\", \"logical_representation\": [\"2018/12/26\", \"dinner\", \"chinese food\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had chinese food for dinner with Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/12/26?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2018/12/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13611\", \"logical_representation\": [\"2018/12/26\", \"Kinsley, Piper\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper for 32 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the early afternoon on 2018/12/26?\", \"32 minutes\"], [\"who did I talk to on 2018/12/26?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2018/12/26?\", \"yes\"], [\"Did I talk to anyone on 2018/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/27\": {\"dinner\": {\"eid\": \"e13612\", \"logical_representation\": [\"2018/12/27\", \"dinner\", \"tacos\", \"Piper, Nevaeh, Kinsley, Claire, Piper, Lydia, Eva\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13613\", \"logical_representation\": [\"2018/12/27\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/27?\", \"5 minutes\"], [\"what did I watch on tv on 2018/12/27?\", \"news\"], [\"Did I watch tv on 2018/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/28\": {\"exercise\": {\"eid\": \"e13614\", \"logical_representation\": [\"2018/12/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/12/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13615\", \"logical_representation\": [\"2018/12/28\", \"dinner\", \"a burger\", \"Kinsley, Rylee, Avery, Piper, Hazel, Olivia, Layla, Nora, Piper\"], \"text_template_based\": \"I had a burger for dinner with Kinsley, Rylee, Avery, Piper, Hazel, Olivia, Layla, Nora, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/12/28?\", \"Kinsley, Rylee, Avery, Piper, Hazel, Olivia, Layla, Nora, Piper\"], [\"what did I eat for dinner on 2018/12/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13616\", \"logical_representation\": [\"2018/12/28\", \"Kinsley, Nevaeh, Hazel\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Kinsley, Nevaeh, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Hazel during lunch hours on 2018/12/28?\", \"35 minutes\"], [\"who did I talk to on 2018/12/28?\", \"Kinsley, Nevaeh, Hazel\"], [\"Did I talk to Kinsley, Nevaeh, Hazel on 2018/12/28?\", \"yes\"], [\"Did I talk to anyone on 2018/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13617\", \"logical_representation\": [\"2018/12/28\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/12/28?\", \"27 minutes\"], [\"what did I read on 2018/12/28?\", \"a book\"], [\"Did I read on 2018/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/29\": {\"exercise\": {\"eid\": \"e13618\", \"logical_representation\": [\"2018/12/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/12/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13619\", \"logical_representation\": [\"2018/12/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13620\", \"logical_representation\": [\"2018/12/29\", \"Lydia, Nora, Claire, Kinsley\", \"late in the evening\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Lydia, Nora, Claire, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Claire, Kinsley late in the evening on 2018/12/29?\", \"27 minutes\"], [\"who did I talk to on 2018/12/29?\", \"Lydia, Nora, Claire, Kinsley\"], [\"Did I talk to Lydia, Nora, Claire, Kinsley on 2018/12/29?\", \"yes\"], [\"Did I talk to anyone on 2018/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13621\", \"logical_representation\": [\"2018/12/29\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/29?\", \"37 minutes\"], [\"what did I watch on tv on 2018/12/29?\", \"a tv series\"], [\"Did I watch tv on 2018/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/10\": {\"travel\": {\"eid\": \"e13629\", \"logical_representation\": [\"2019/03/10\", \"2019/03/24\", [\"Andrew\", \"Kayden\", \"Carter\"], \"Shanghai, China\"], \"text_template_based\": \"On 2019/03/10 Andrew, Kayden, Carter and I went to Shanghai, China together for 14 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Shanghai, China on 2019/03/10?\", \"Andrew, Kayden, Carter\"], [\"who did I go with to Shanghai, China?\", \"Andrew, Kayden, Carter\"], [\"where did I go on 2019/03/10?\", \"Shanghai, China\"], [\"when did I go to Shanghai, China?\", \"2019/03/10\"], [\"when did I go to Shanghai, China with Andrew, Kayden, Carter ?\", \"2019/03/10\"], [\"How long did I stay in Shanghai, China?\", \"14\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14002\", \"logical_representation\": [\"2019/03/10\", \"Claire, Layla\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Claire, Layla for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla in the morning on 2019/03/10?\", \"30 minutes\"], [\"who did I talk to on 2019/03/10?\", \"Claire, Layla\"], [\"Did I talk to Claire, Layla on 2019/03/10?\", \"yes\"], [\"Did I talk to anyone on 2019/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/12\": {\"dining\": {\"eid\": \"e13630\", \"logical_representation\": [\"2019/03/12\", [\"Andrew\", \"Kayden\", \"Carter\"], \"Japanese food\", \"Wanhangdu Lu junction\"], \"text_template_based\": \"I ate Japanese food at Wanhangdu Lu junction with Andrew, Kayden, Carter on  2019/03/12 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Wanhangdu Lu junction ?\", \"Andrew, Kayden, Carter\"], [\"who did I eat Japanese food with?\", \"Andrew, Kayden, Carter\"], [\"where did we eat Japanese food during our trip to Shanghai, China on  2019/03/12?\", \"Wanhangdu Lu junction\"], [\"when did we eat Japanese food at Wanhangdu Lu junction during our trip to Shanghai, China?\", \"2019/03/12\"], [\"when did we eat at Wanhangdu Lu junction?\", \"2019/03/12\"], [\"when did we eat Japanese food?\", \"2019/03/12\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14006\", \"logical_representation\": [\"2019/03/12\", \"breakfast\", \"cereals\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/03/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14007\", \"logical_representation\": [\"2019/03/12\", \"dinner\", \"steak\", \"Hazel, Olivia, Eva\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/03/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14008\", \"logical_representation\": [\"2019/03/12\", \"Hazel, Kinsley\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Hazel, Kinsley for 40 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley in the early evening on 2019/03/12?\", \"40 minutes\"], [\"who did I talk to on 2019/03/12?\", \"Hazel, Kinsley\"], [\"Did I talk to Hazel, Kinsley on 2019/03/12?\", \"yes\"], [\"Did I talk to anyone on 2019/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14009\", \"logical_representation\": [\"2019/03/12\", \"Rylee\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I talked to Rylee for 17 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2019/03/12?\", \"17 minutes\"], [\"who did I talk to on 2019/03/12?\", \"Rylee\"], [\"Did I talk to Rylee on 2019/03/12?\", \"yes\"], [\"Did I talk to anyone on 2019/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/13\": {\"dining\": {\"eid\": \"e13631\", \"logical_representation\": [\"2019/03/13\", [\"Andrew\", \"Kayden\", \"Carter\"], \"Chinese food\", \"South Bund Fabric Market\"], \"text_template_based\": \"I ate Chinese food at South Bund Fabric Market with Andrew, Kayden, Carter on  2019/03/13 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at South Bund Fabric Market ?\", \"Andrew, Kayden, Carter\"], [\"who did I eat Chinese food with?\", \"Andrew, Kayden, Carter\"], [\"where did we eat Chinese food during our trip to Shanghai, China on  2019/03/13?\", \"South Bund Fabric Market\"], [\"when did we eat Chinese food at South Bund Fabric Market during our trip to Shanghai, China?\", \"2019/03/13\"], [\"when did we eat at South Bund Fabric Market?\", \"2019/03/13\"], [\"when did we eat Chinese food?\", \"2019/03/13\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14010\", \"logical_representation\": [\"2019/03/13\", \"lunch\", \"indian food\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/03/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14011\", \"logical_representation\": [\"2019/03/13\", \"Nora, Rylee, Olivia, Kinsley\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nora, Rylee, Olivia, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Olivia, Kinsley in the early afternoon on 2019/03/13?\", \"29 minutes\"], [\"who did I talk to on 2019/03/13?\", \"Nora, Rylee, Olivia, Kinsley\"], [\"Did I talk to Nora, Rylee, Olivia, Kinsley on 2019/03/13?\", \"yes\"], [\"Did I talk to anyone on 2019/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14012\", \"logical_representation\": [\"2019/03/13\", \"Piper, Layla, Rylee\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Piper, Layla, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Rylee late in the evening on 2019/03/13?\", \"40 minutes\"], [\"who did I talk to on 2019/03/13?\", \"Piper, Layla, Rylee\"], [\"Did I talk to Piper, Layla, Rylee on 2019/03/13?\", \"yes\"], [\"Did I talk to anyone on 2019/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14013\", \"logical_representation\": [\"2019/03/13\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/13?\", \"13 minutes\"], [\"what did I watch on tv on 2019/03/13?\", \"news\"], [\"Did I watch tv on 2019/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/15\": {\"dining\": {\"eid\": \"e13632\", \"logical_representation\": [\"2019/03/15\", [\"Andrew\", \"Kayden\", \"Carter\"], \"Italian food\", \"Fangbang Xi Lu\"], \"text_template_based\": \"I ate Italian food at Fangbang Xi Lu with Andrew, Kayden, Carter on  2019/03/15 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Fangbang Xi Lu ?\", \"Andrew, Kayden, Carter\"], [\"who did I eat Italian food with?\", \"Andrew, Kayden, Carter\"], [\"where did we eat Italian food during our trip to Shanghai, China on  2019/03/15?\", \"Fangbang Xi Lu\"], [\"when did we eat Italian food at Fangbang Xi Lu during our trip to Shanghai, China?\", \"2019/03/15\"], [\"when did we eat at Fangbang Xi Lu?\", \"2019/03/15\"], [\"when did we eat Italian food?\", \"2019/03/15\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14021\", \"logical_representation\": [\"2019/03/15\", \"lunch\", \"tacos\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch with Carter, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/03/15?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2019/03/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14022\", \"logical_representation\": [\"2019/03/15\", \"Olivia, Piper, Nora, Lydia\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Nora, Lydia for 20 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Nora, Lydia in the late afternoon on 2019/03/15?\", \"20 minutes\"], [\"who did I talk to on 2019/03/15?\", \"Olivia, Piper, Nora, Lydia\"], [\"Did I talk to Olivia, Piper, Nora, Lydia on 2019/03/15?\", \"yes\"], [\"Did I talk to anyone on 2019/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14023\", \"logical_representation\": [\"2019/03/15\", \"Claire, Piper, Avery, Rylee\", \"late in the evening\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Claire, Piper, Avery, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Avery, Rylee late in the evening on 2019/03/15?\", \"50 minutes\"], [\"who did I talk to on 2019/03/15?\", \"Claire, Piper, Avery, Rylee\"], [\"Did I talk to Claire, Piper, Avery, Rylee on 2019/03/15?\", \"yes\"], [\"Did I talk to anyone on 2019/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14024\", \"logical_representation\": [\"2019/03/15\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I watched a documentary for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/15?\", \"33 minutes\"], [\"what did I watch on tv on 2019/03/15?\", \"a documentary\"], [\"Did I watch tv on 2019/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/17\": {\"dining\": {\"eid\": \"e13633\", \"logical_representation\": [\"2019/03/17\", [\"Andrew\", \"Kayden\", \"Carter\"], \"street food\", \"Yuyuan Lu junction\"], \"text_template_based\": \"I ate street food at Yuyuan Lu junction with Andrew, Kayden, Carter on  2019/03/17 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat street food with at Yuyuan Lu junction ?\", \"Andrew, Kayden, Carter\"], [\"who did I eat street food with?\", \"Andrew, Kayden, Carter\"], [\"where did we eat street food during our trip to Shanghai, China on  2019/03/17?\", \"Yuyuan Lu junction\"], [\"when did we eat street food at Yuyuan Lu junction during our trip to Shanghai, China?\", \"2019/03/17\"], [\"when did we eat at Yuyuan Lu junction?\", \"2019/03/17\"], [\"when did we eat street food?\", \"2019/03/17\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14028\", \"logical_representation\": [\"2019/03/17\", \"lunch\", \"tacos\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/03/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14029\", \"logical_representation\": [\"2019/03/17\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/03/17?\", \"16 minutes\"], [\"what did I read on 2019/03/17?\", \"news\"], [\"Did I read on 2019/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/19\": {\"dining\": {\"eid\": \"e13634\", \"logical_representation\": [\"2019/03/19\", [\"Andrew\", \"Kayden\", \"Carter\"], \"Japanese food\", \"South Bund Fabric Market\"], \"text_template_based\": \"I ate Japanese food at South Bund Fabric Market with Andrew, Kayden, Carter on  2019/03/19 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at South Bund 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conditioner, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/03/19?\", \"pears, raspberries, mangos, bananas, pineapple juice, soda, tea, chocolate milk, and conditioner, toothbrush\"], [\"what fruits did I buy online on 2019/03/19?\", \"pears, raspberries, mangos, bananas\"], [\"what drinks did I buy online on 2019/03/19?\", \"pineapple juice, soda, tea, chocolate milk\"], [\"what toiletries did I buy online on 2019/03/19?\", \"conditioner, toothbrush\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14035\", \"logical_representation\": [\"2019/03/19\", \"lunch\", \"sandwich\", \"Hazel, Eva, Avery, Layla, Olivia, Rylee\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/03/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14036\", \"logical_representation\": [\"2019/03/19\", \"a documentary\", \"26 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\"2019/03/21\": {\"dining\": {\"eid\": \"e13636\", \"logical_representation\": [\"2019/03/21\", [\"Andrew\", \"Kayden\", \"Carter\"], \"Italian food\", \"South Bund Fabric Market\"], \"text_template_based\": \"I ate Italian food at South Bund Fabric Market with Andrew, Kayden, Carter on  2019/03/21 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at South Bund Fabric Market ?\", \"Andrew, Kayden, Carter\"], [\"who did I eat Italian food with?\", \"Andrew, Kayden, Carter\"], [\"where did we eat Italian food during our trip to Shanghai, China on  2019/03/21?\", \"South Bund Fabric Market\"], [\"when did we eat Italian food at South Bund Fabric Market during our trip to Shanghai, China?\", \"2019/03/21\"], [\"when did we eat at South Bund Fabric Market?\", \"2019/03/21\"], [\"when did we eat Italian food?\", \"2019/03/21\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14039\", \"logical_representation\": [\"2019/03/21\", \"Olivia, Claire\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I talked to Olivia, Claire for 28 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire in the early evening on 2019/03/21?\", \"28 minutes\"], [\"who did I talk to on 2019/03/21?\", \"Olivia, Claire\"], [\"Did I talk to Olivia, Claire on 2019/03/21?\", \"yes\"], [\"Did I talk to anyone on 2019/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14040\", \"logical_representation\": [\"2019/03/21\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/03/21?\", \"45 minutes\"], [\"what did I read on 2019/03/21?\", \"social media\"], [\"Did I read on 2019/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/22\": {\"dining\": {\"eid\": \"e13637\", \"logical_representation\": [\"2019/03/22\", [\"Andrew\", \"Kayden\", \"Carter\"], \"street food\", \"Wanhangdu Lu junction\"], \"text_template_based\": \"I ate street food at Wanhangdu Lu junction with Andrew, Kayden, Carter on  2019/03/22 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat street food with at Wanhangdu Lu junction ?\", \"Andrew, Kayden, Carter\"], [\"who did I eat street food with?\", \"Andrew, Kayden, Carter\"], [\"where did we eat street food during our trip to Shanghai, China on  2019/03/22?\", \"Wanhangdu Lu junction\"], [\"when did we eat street food at Wanhangdu Lu junction during our trip to Shanghai, China?\", \"2019/03/22\"], [\"when did we eat at Wanhangdu Lu junction?\", \"2019/03/22\"], [\"when did we eat street food?\", \"2019/03/22\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14041\", \"logical_representation\": [\"2019/03/22\", \"breakfast\", \"toast and 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\"2019/03/23\": {\"dining\": {\"eid\": \"e13638\", \"logical_representation\": [\"2019/03/23\", [\"Andrew\", \"Kayden\", \"Carter\"], \"Italian food\", \"Fangbang Xi Lu\"], \"text_template_based\": \"I ate Italian food at Fangbang Xi Lu with Andrew, Kayden, Carter on  2019/03/23 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Fangbang Xi Lu ?\", \"Andrew, Kayden, Carter\"], [\"who did I eat Italian food with?\", \"Andrew, Kayden, Carter\"], [\"where did we eat Italian food during our trip to Shanghai, China on  2019/03/23?\", \"Fangbang Xi Lu\"], [\"when did we eat Italian food at Fangbang Xi Lu during our trip to Shanghai, China?\", \"2019/03/23\"], [\"when did we eat at Fangbang Xi Lu?\", \"2019/03/23\"], [\"when did we eat Italian food?\", \"2019/03/23\"]], \"multihop_qa_pairs\": []}, \"personal_medical_care\": {\"eid\": \"e13640\", \"logical_representation\": [\"2019/03/23\", \"I went for an annual dental 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\"chat0\": {\"eid\": \"e14047\", \"logical_representation\": [\"2019/03/23\", \"Nora, Avery, Lydia, Olivia\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Nora, Avery, Lydia, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery, Lydia, Olivia in the early evening on 2019/03/23?\", \"38 minutes\"], [\"who did I talk to on 2019/03/23?\", \"Nora, Avery, Lydia, Olivia\"], [\"Did I talk to Nora, Avery, Lydia, Olivia on 2019/03/23?\", \"yes\"], [\"Did I talk to anyone on 2019/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/24\": {\"dining\": {\"eid\": \"e13639\", \"logical_representation\": [\"2019/03/24\", [\"Andrew\", \"Kayden\", \"Carter\"], \"Italian food\", \"Wanhangdu Lu junction\"], \"text_template_based\": \"I ate Italian food at Wanhangdu Lu junction with Andrew, Kayden, Carter on  2019/03/24 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Wanhangdu Lu junction ?\", \"Andrew, Kayden, Carter\"], [\"who did I eat Italian food with?\", \"Andrew, Kayden, Carter\"], [\"where did we eat Italian food during our trip to Shanghai, China on  2019/03/24?\", \"Wanhangdu Lu junction\"], [\"when did we eat Italian food at Wanhangdu Lu junction during our trip to Shanghai, China?\", \"2019/03/24\"], [\"when did we eat at Wanhangdu Lu junction?\", \"2019/03/24\"], [\"when did we eat Italian food?\", \"2019/03/24\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14048\", \"logical_representation\": [\"2019/03/24\", \"lunch\", \"sandwich\", \"Olivia, Nora, Kinsley, Lydia, Nevaeh\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/03/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14049\", \"logical_representation\": 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\"exercise\": {\"eid\": \"e14478\", \"logical_representation\": [\"2019/07/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/07/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14479\", \"logical_representation\": [\"2019/07/13\", \"Piper, Eva\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Piper, Eva for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva late in the evening on 2019/07/13?\", \"37 minutes\"], [\"who did I talk to on 2019/07/13?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2019/07/13?\", \"yes\"], [\"Did I talk to anyone on 2019/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14480\", \"logical_representation\": [\"2019/07/13\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/07/13?\", \"54 minutes\"], [\"what did I read on 2019/07/13?\", \"social media\"], [\"Did I read on 2019/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14481\", \"logical_representation\": [\"2019/07/13\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/13?\", \"12 minutes\"], [\"what did I watch on tv on 2019/07/13?\", \"news\"], [\"Did I watch tv on 2019/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/19\": {\"child_medical_care\": {\"eid\": \"e13642\", \"logical_representation\": [\"2019/04/19\", \"Kayden for his/her  and I went for an annual physical checkup at the private clinic on 2019/04/19.\", \"private clinic\"], \"text_template_based\": \"Kayden for his/her  and I went for an annual physical checkup at the private clinic on 2019/04/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Kayden for his/her  for an annual physical checkup in 2019?\", \"2019/04/19\"], [\"what did I do on 2019/04/19\", \"I took Kayden for his/her  for an  annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14137\", \"logical_representation\": [\"2019/04/19\", \"running\"], \"text_template_based\": \"I did running on 2019/04/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14138\", \"logical_representation\": [\"2019/04/19\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/04/19?\", \"Andrew\"], [\"what did I eat for breakfast on 2019/04/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14139\", \"logical_representation\": [\"2019/04/19\", \"Avery, Piper\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Avery, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper late in the evening on 2019/04/19?\", \"25 minutes\"], [\"who did I talk to on 2019/04/19?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2019/04/19?\", \"yes\"], [\"Did I talk to anyone on 2019/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14140\", \"logical_representation\": [\"2019/04/19\", \"Lydia, Nora, Nevaeh, Olivia\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Lydia, Nora, Nevaeh, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Nevaeh, Olivia in the morning on 2019/04/19?\", \"7 minutes\"], [\"who did I talk to on 2019/04/19?\", \"Lydia, Nora, Nevaeh, Olivia\"], [\"Did I talk to Lydia, Nora, Nevaeh, Olivia on 2019/04/19?\", \"yes\"], [\"Did I talk to anyone on 2019/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14141\", \"logical_representation\": [\"2019/04/19\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/04/19?\", \"15 minutes\"], [\"what did I read on 2019/04/19?\", \"news\"], [\"Did I read on 2019/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/07\": {\"child_medical_care\": {\"eid\": \"e13643\", \"logical_representation\": [\"2019/09/07\", \"Kayden for his/her  and I went for an annual dental cleaning and checkup at the university hospital on 2019/09/07.\", \"university hospital\"], \"text_template_based\": \"Kayden for his/her  and I went for an annual dental cleaning and checkup at the university hospital on 2019/09/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Kayden for his/her  for an annual dental cleaning and checkup in 2019?\", \"2019/09/07\"], [\"what did I do on 2019/09/07\", \"I took Kayden for his/her  for an  annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14688\", \"logical_representation\": [\"2019/09/07\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/09/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14689\", \"logical_representation\": [\"2019/09/07\", \"Piper, Hazel, Claire, Olivia\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Claire, Olivia for 24 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Claire, Olivia in the early evening on 2019/09/07?\", \"24 minutes\"], [\"who did I talk to on 2019/09/07?\", \"Piper, Hazel, Claire, Olivia\"], [\"Did I talk to Piper, Hazel, Claire, Olivia on 2019/09/07?\", \"yes\"], [\"Did I talk to anyone on 2019/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14690\", \"logical_representation\": [\"2019/09/07\", \"Eva, Nevaeh, Layla\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Eva, Nevaeh, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Layla in the early afternoon on 2019/09/07?\", \"24 minutes\"], [\"who did I talk to on 2019/09/07?\", \"Eva, Nevaeh, Layla\"], [\"Did I talk to Eva, Nevaeh, Layla on 2019/09/07?\", \"yes\"], [\"Did I talk to anyone on 2019/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/02\": {\"child_medical_care\": {\"eid\": \"e13644\", \"logical_representation\": [\"2019/12/02\", \"Kayden for his/her  and I went for an annual vision checkup at the university hospital on 2019/12/02.\", \"university hospital\"], \"text_template_based\": \"Kayden for his/her  and I went for an annual vision checkup at the university hospital on 2019/12/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Kayden for his/her  for an annual vision checkup in 2019?\", \"2019/12/02\"], [\"what did I do on 2019/12/02\", \"I took Kayden for his/her  for an  annual vision checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14997\", \"logical_representation\": [\"2019/12/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/12/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I 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\"logical_representation\": [\"2019/12/02\", \"Hazel, Nevaeh, Piper\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Hazel, Nevaeh, Piper for 51 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh, Piper in the early afternoon on 2019/12/02?\", \"51 minutes\"], [\"who did I talk to on 2019/12/02?\", \"Hazel, Nevaeh, Piper\"], [\"Did I talk to Hazel, Nevaeh, Piper on 2019/12/02?\", \"yes\"], [\"Did I talk to anyone on 2019/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15001\", \"logical_representation\": [\"2019/12/02\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/12/02?\", \"13 minutes\"], [\"what did I read on 2019/12/02?\", \"news\"], [\"Did I read on 2019/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15002\", \"logical_representation\": [\"2019/12/02\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/02?\", \"21 minutes\"], [\"what did I watch on tv on 2019/12/02?\", \"a movie\"], [\"Did I watch tv on 2019/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/06\": {\"dating\": {\"eid\": \"e13645\", \"logical_representation\": [\"2019/01/06\", \"Jonathan\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Jonathan on 2019/01/06 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/01/06\", \"Jonathan\"], [\"where did I go for the date on 2019/01/06\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e13646\", \"logical_representation\": [\"2019/01/06\", \"I went grocery shopping. I bought some blueberries, pineapples, guava juice, chocolate milk, milk, soda, and toilet paper, toothbrush, mouth wash, shaving cream\", \"blueberries, pineapples\", \"guava juice, chocolate milk, milk, soda\", \"toilet paper, toothbrush, mouth wash, shaving cream\", \"Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some blueberries, pineapples, guava juice, chocolate milk, milk, soda, and toilet paper, toothbrush, mouth wash, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/01/06?\", \"blueberries, pineapples, guava juice, chocolate milk, milk, soda, and toilet paper, toothbrush, mouth wash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2019/01/06?\", \"blueberries, pineapples\"], [\"what drinks did I buy from the grocery store on 2019/01/06?\", \"guava juice, chocolate milk, milk, soda\"], [\"what toiletries did I buy from the grocery store on 2019/01/06?\", \"toilet paper, toothbrush, mouth wash, shaving cream\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13781\", \"logical_representation\": [\"2019/01/06\", \"breakfast\", \"pancakes\", \"Kinsley, Lydia, Claire, Olivia, Rylee, Layla, Nevaeh, Nora, Piper, Hazel\"], \"text_template_based\": \"I had pancakes for breakfast with Kinsley, Lydia, Claire, Olivia, Rylee, Layla, Nevaeh, Nora, Piper, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/01/06?\", \"Kinsley, Lydia, Claire, Olivia, Rylee, Layla, Nevaeh, Nora, Piper, Hazel\"], [\"what did I eat for breakfast on 2019/01/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13782\", \"logical_representation\": [\"2019/01/06\", \"lunch\", \"chinese food\", \"Claire, Hazel, Rylee, Eva, Lydia, Layla, Piper, Nora, Piper, Kinsley, Olivia, Avery\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/01/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13783\", \"logical_representation\": [\"2019/01/06\", \"dinner\", \"steak\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had steak for dinner with Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/01/06?\", \"Andrew, Carter, Emily\"], [\"what did I eat for dinner on 2019/01/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13784\", \"logical_representation\": [\"2019/01/06\", \"Layla\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Layla for 45 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2019/01/06?\", \"45 minutes\"], [\"who did I talk to on 2019/01/06?\", \"Layla\"], [\"Did I talk to Layla on 2019/01/06?\", \"yes\"], [\"Did I talk to anyone on 2019/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/14\": {\"dating\": {\"eid\": \"e13647\", \"logical_representation\": [\"2019/01/14\", \"Noah\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Noah on 2019/01/14 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/01/14\", \"Noah\"], [\"where did I go for the date on 2019/01/14\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e13650\", \"logical_representation\": [\"2019/01/14\", \"I went grocery shopping with Willow, Avery, Benjamin. I bought some apricots, blueberries, guava juice, apple juice, sports drinks, and toothbrush\", \"apricots, blueberries\", \"guava juice, apple juice, sports drinks\", \"toothbrush\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I went grocery shopping with Willow, Avery, Benjamin. I bought some apricots, blueberries, guava juice, apple juice, sports drinks, and toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/01/14?\", \"apricots, blueberries, guava juice, apple juice, sports drinks, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2019/01/14?\", \"apricots, blueberries\"], [\"what drinks did I buy from the grocery store on 2019/01/14?\", \"guava juice, apple juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2019/01/14?\", \"toothbrush\"], [\"who was with me at the grocery store on 2019/01/14?\", \"Willow, Avery, Benjamin\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13811\", \"logical_representation\": [\"2019/01/14\", \"Avery, Lydia\", \"in the morning\", \"42 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia for 42 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia in the morning on 2019/01/14?\", \"42 minutes\"], [\"who did I talk to on 2019/01/14?\", \"Avery, Lydia\"], [\"Did I talk to Avery, Lydia on 2019/01/14?\", \"yes\"], [\"Did I talk to anyone on 2019/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13812\", \"logical_representation\": [\"2019/01/14\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/14?\", \"45 minutes\"], [\"what did I watch on tv on 2019/01/14?\", \"a movie\"], [\"Did I watch tv on 2019/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/11\": {\"hobbies\": {\"eid\": \"e13648\", \"logical_representation\": [\"2019/01/11\", \"I really enjoyed yoga on 2019/01/11\", \"yoga\", \"Andrew, Emily\"], \"text_template_based\": \"I really enjoyed yoga on 2019/01/11\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I 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Piper, Lydia, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Hazel in the early evening on 2019/01/11?\", \"51 minutes\"], [\"who did I talk to on 2019/01/11?\", \"Piper, Lydia, Hazel\"], [\"Did I talk to Piper, Lydia, Hazel on 2019/01/11?\", \"yes\"], [\"Did I talk to anyone on 2019/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13801\", \"logical_representation\": [\"2019/01/11\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I watched a tv series for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/11?\", \"22 minutes\"], [\"what did I watch on tv on 2019/01/11?\", \"a tv series\"], [\"Did I watch tv on 2019/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/08\": {\"grocery\": {\"eid\": \"e13649\", \"logical_representation\": [\"2019/01/08\", \"I bought some mandarins, guava, peaches, mango juice, mineral water, chocolate milk, pineapple juice, facial wash, paper towel, shampoo, body lotion online.\", \"mandarins, guava, peaches\", \"mango juice, mineral water, chocolate milk, pineapple juice\", \"facial wash, paper towel, shampoo, body lotion\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I bought some mandarins, guava, peaches, mango juice, mineral water, chocolate milk, pineapple juice, facial wash, paper towel, shampoo, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/01/08?\", \"mandarins, guava, peaches, mango juice, mineral water, chocolate milk, pineapple juice, and facial wash, paper towel, shampoo, body lotion\"], [\"what fruits did I buy online on 2019/01/08?\", \"mandarins, guava, peaches\"], [\"what drinks did I buy online on 2019/01/08?\", \"mango juice, mineral water, chocolate milk, pineapple juice\"], [\"what toiletries did I buy online on 2019/01/08?\", \"facial wash, paper towel, shampoo, body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13787\", \"logical_representation\": [\"2019/01/08\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/01/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/08?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13788\", \"logical_representation\": [\"2019/01/08\", \"lunch\", \"a burger\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/01/08?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2019/01/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13789\", \"logical_representation\": [\"2019/01/08\", \"dinner\", \"steak\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/01/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13790\", \"logical_representation\": [\"2019/01/08\", \"Kinsley, Nora, Rylee\", \"in the early afternoon\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Kinsley, Nora, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Rylee in the early afternoon on 2019/01/08?\", \"18 minutes\"], [\"who did I talk to on 2019/01/08?\", \"Kinsley, Nora, Rylee\"], [\"Did I talk to Kinsley, Nora, Rylee on 2019/01/08?\", \"yes\"], [\"Did I talk to anyone on 2019/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/16\": {\"dating\": {\"eid\": \"e13651\", \"logical_representation\": [\"2019/01/16\", \"Axel\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Axel on 2019/01/16 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/01/16\", \"Axel\"], [\"where did I go for the date on 2019/01/16\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13816\", \"logical_representation\": [\"2019/01/16\", \"dinner\", \"pasta\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/01/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13817\", \"logical_representation\": [\"2019/01/16\", \"Avery, Claire\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Avery, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire in the early afternoon on 2019/01/16?\", \"48 minutes\"], [\"who did I talk to on 2019/01/16?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2019/01/16?\", \"yes\"], [\"Did I talk to anyone on 2019/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13818\", \"logical_representation\": [\"2019/01/16\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/01/16?\", \"45 minutes\"], [\"what did I read on 2019/01/16?\", \"social media\"], [\"Did I read on 2019/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/18\": {\"dating\": {\"eid\": \"e13652\", \"logical_representation\": [\"2019/01/18\", \"Naomi\", \"a coffee Shop\"], \"text_template_based\": \"On 2019/01/18, I took Naomi on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/01/18\", \"Naomi\"], [\"where did I go for the date on 2019/01/18\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e13654\", \"logical_representation\": [\"2019/01/18\", \"I went grocery shopping with Emily, Andrew. I bought some apples, nectarines, guava, blackberries, guava juice, apple juice, and toothpaste, mouth wash\", \"apples, nectarines, guava, blackberries\", \"guava juice, apple juice\", \"toothpaste, mouth wash\", \"Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping with Emily, Andrew. I bought some apples, nectarines, guava, blackberries, guava juice, apple juice, and toothpaste, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/01/18?\", \"apples, nectarines, guava, blackberries, guava juice, apple juice, and toothpaste, mouth wash\"], [\"what fruits did I buy from the grocery store on 2019/01/18?\", \"apples, nectarines, guava, blackberries\"], [\"what drinks did I buy from the grocery store on 2019/01/18?\", \"guava juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2019/01/18?\", \"toothpaste, mouth wash\"], [\"who was with me at the grocery store on 2019/01/18?\", \"Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13824\", \"logical_representation\": [\"2019/01/18\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/01/18?\", \"Emily\"], [\"what did I eat for breakfast on 2019/01/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13825\", \"logical_representation\": [\"2019/01/18\", \"dinner\", \"steak\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/01/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13826\", \"logical_representation\": [\"2019/01/18\", \"Piper, Olivia, Claire\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Piper, Olivia, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Claire late in the evening on 2019/01/18?\", \"21 minutes\"], [\"who did I talk to on 2019/01/18?\", \"Piper, Olivia, Claire\"], [\"Did I talk to Piper, Olivia, Claire on 2019/01/18?\", \"yes\"], [\"Did I talk to anyone on 2019/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13827\", \"logical_representation\": [\"2019/01/18\", \"Lydia, Kinsley, Piper, Rylee\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Lydia, Kinsley, Piper, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Piper, Rylee in the morning on 2019/01/18?\", \"46 minutes\"], [\"who did I talk to on 2019/01/18?\", \"Lydia, Kinsley, Piper, Rylee\"], [\"Did I talk to Lydia, Kinsley, Piper, Rylee on 2019/01/18?\", \"yes\"], [\"Did I talk to anyone on 2019/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13828\", \"logical_representation\": [\"2019/01/18\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/01/18?\", \"19 minutes\"], [\"what did I read on 2019/01/18?\", \"social media\"], [\"Did I read on 2019/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/17\": {\"grocery\": {\"eid\": \"e13653\", \"logical_representation\": [\"2019/01/17\", \"I went grocery shopping. I bought some nectarines, chocolate milk, guava juice, sports drinks, apple juice, and facial wash, paper towel, toilet paper, shaving cream\", \"nectarines\", \"chocolate milk, guava juice, sports drinks, apple juice\", \"facial wash, paper towel, toilet paper, shaving cream\", \"Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some nectarines, chocolate milk, guava juice, sports drinks, apple juice, and facial wash, paper towel, toilet paper, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/01/17?\", \"nectarines, chocolate milk, guava juice, sports drinks, apple juice, and facial wash, paper towel, toilet paper, shaving cream\"], [\"what fruits did I buy from the grocery store on 2019/01/17?\", \"nectarines\"], [\"what drinks did I buy from the grocery store on 2019/01/17?\", \"chocolate milk, guava juice, sports drinks, apple juice\"], [\"what toiletries did I buy from the grocery store on 2019/01/17?\", \"facial wash, paper towel, toilet paper, shaving cream\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13819\", \"logical_representation\": [\"2019/01/17\", \"running\"], \"text_template_based\": \"I did running on 2019/01/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13820\", \"logical_representation\": [\"2019/01/17\", \"lunch\", \"tacos\", \"Lydia, Layla, Rylee\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/01/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13821\", \"logical_representation\": [\"2019/01/17\", \"dinner\", \"sandwich\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/01/17?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2019/01/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13822\", \"logical_representation\": [\"2019/01/17\", \"Layla, Avery\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Layla, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery in the early afternoon on 2019/01/17?\", \"13 minutes\"], [\"who did I talk to on 2019/01/17?\", \"Layla, Avery\"], [\"Did I talk to Layla, Avery on 2019/01/17?\", \"yes\"], [\"Did I talk to anyone on 2019/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13823\", \"logical_representation\": [\"2019/01/17\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/01/17?\", \"20 minutes\"], [\"what did I read on 2019/01/17?\", \"a book\"], [\"Did I read on 2019/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/25\": {\"bake\": {\"eid\": \"e13655\", \"logical_representation\": [\"2019/01/25\", \"I was baking peanut butter cookies, chrissy teigen\\u2019s 3-ingredient chocolate mousse on 2019/01/25 with Kayden, Emily at my place\", \"bake\", \"peanut butter cookies, chrissy teigen\\u2019s 3-ingredient chocolate mousse\", \"Kayden, Emily\", \"my place\"], \"text_template_based\": \"I was baking peanut butter cookies, chrissy teigen\\u2019s 3-ingredient chocolate mousse on 2019/01/25 with Kayden, Emily at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  peanut butter cookies, chrissy teigen\\u2019s 3-ingredient chocolate mousse with Kayden, Emily?\", \"2019/01/25\"], [\"what did I  on 2019/01/25?\", \"peanut butter cookies, chrissy teigen\\u2019s 3-ingredient chocolate mousse\"], [\"who was I with when I  peanut butter cookies, chrissy teigen\\u2019s 3-ingredient chocolate mousse on 2019/01/25?\", \"Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13844\", \"logical_representation\": [\"2019/01/25\", \"running\"], \"text_template_based\": \"I did running on 2019/01/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13845\", \"logical_representation\": [\"2019/01/25\", \"breakfast\", \"oatmeal\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/01/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13846\", \"logical_representation\": [\"2019/01/25\", \"Nora, Rylee\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I talked to Nora, Rylee for 12 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee during lunch hours on 2019/01/25?\", \"12 minutes\"], [\"who did I talk to on 2019/01/25?\", \"Nora, Rylee\"], [\"Did I talk to Nora, Rylee on 2019/01/25?\", \"yes\"], [\"Did I talk to anyone on 2019/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13847\", \"logical_representation\": [\"2019/01/25\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/01/25?\", \"33 minutes\"], [\"what did I read on 2019/01/25?\", \"a book\"], [\"Did I read on 2019/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13848\", \"logical_representation\": [\"2019/01/25\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I watched a documentary for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/25?\", \"43 minutes\"], [\"what did I watch on tv on 2019/01/25?\", \"a documentary\"], [\"Did I watch tv on 2019/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/26\": {\"grocery\": {\"eid\": \"e13656\", \"logical_representation\": [\"2019/01/26\", \"I went grocery shopping. I bought some bananas, watermelons, peaches, tea, apple juice, and shaving cream, mouth wash, mouthwash, toothpaste\", \"bananas, watermelons, peaches\", \"tea, apple juice\", \"shaving cream, mouth wash, mouthwash, toothpaste\", \"Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, watermelons, peaches, tea, apple juice, and shaving cream, mouth wash, mouthwash, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/01/26?\", \"bananas, watermelons, peaches, tea, apple juice, and shaving cream, mouth wash, mouthwash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2019/01/26?\", \"bananas, watermelons, peaches\"], [\"what drinks did I buy from the grocery store on 2019/01/26?\", \"tea, apple juice\"], [\"what toiletries did I buy from the grocery store on 2019/01/26?\", \"shaving cream, mouth wash, mouthwash, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13849\", \"logical_representation\": [\"2019/01/26\", \"biking\"], \"text_template_based\": \"I did biking on 2019/01/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13850\", \"logical_representation\": [\"2019/01/26\", \"breakfast\", \"cereals\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/01/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13851\", \"logical_representation\": [\"2019/01/26\", \"lunch\", \"pasta\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Carter. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/01/26?\", \"Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2019/01/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13852\", \"logical_representation\": [\"2019/01/26\", \"a movie\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/26?\", \"34 minutes\"], [\"what did I watch on tv on 2019/01/26?\", \"a movie\"], [\"Did I watch tv on 2019/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/02\": {\"grocery\": {\"eid\": \"e13657\", \"logical_representation\": [\"2019/02/02\", \"I went grocery shopping. I bought some apples, bananas, pineapples, soda, guava juice, orange juice, milk, and body lotion, mouth wash, facial wash\", \"apples, bananas, pineapples\", \"soda, guava juice, orange juice, milk\", \"body lotion, mouth wash, facial wash\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, bananas, pineapples, soda, guava juice, orange juice, milk, and body lotion, mouth wash, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/02/02?\", \"apples, bananas, pineapples, soda, guava juice, orange juice, milk, and body lotion, mouth wash, facial wash\"], [\"what fruits did I buy from the grocery store on 2019/02/02?\", \"apples, bananas, pineapples\"], [\"what drinks did I buy from the grocery store on 2019/02/02?\", \"soda, guava juice, orange juice, milk\"], [\"what toiletries did I buy from the grocery store on 2019/02/02?\", \"body lotion, mouth wash, facial wash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13882\", \"logical_representation\": [\"2019/02/02\", \"Rylee, Claire, Piper\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Rylee, Claire, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Piper in the late afternoon on 2019/02/02?\", \"43 minutes\"], [\"who did I talk to on 2019/02/02?\", \"Rylee, Claire, Piper\"], [\"Did I talk to Rylee, Claire, Piper on 2019/02/02?\", \"yes\"], [\"Did I talk to anyone on 2019/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13883\", \"logical_representation\": [\"2019/02/02\", \"a movie\", \"31 minutes\"], \"text_template_based\": \"I watched a movie for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/02?\", \"31 minutes\"], [\"what did I watch on tv on 2019/02/02?\", \"a movie\"], [\"Did I watch tv on 2019/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/09\": {\"dating\": {\"eid\": \"e13658\", \"logical_representation\": [\"2019/02/09\", \"Natalia\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Natalia on 2019/02/09 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/02/09\", \"Natalia\"], [\"where did I go for the date on 2019/02/09\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13906\", \"logical_representation\": [\"2019/02/09\", \"biking\"], \"text_template_based\": \"I did biking on 2019/02/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13907\", \"logical_representation\": [\"2019/02/09\", \"Avery, Lydia, Claire\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia, Claire for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Claire in the morning on 2019/02/09?\", \"43 minutes\"], [\"who did I talk to on 2019/02/09?\", \"Avery, Lydia, Claire\"], [\"Did I talk to Avery, Lydia, Claire on 2019/02/09?\", \"yes\"], [\"Did I talk to anyone on 2019/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13908\", \"logical_representation\": [\"2019/02/09\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/02/09?\", \"47 minutes\"], [\"what did I read on 2019/02/09?\", \"social media\"], [\"Did I read on 2019/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/11\": {\"hobbies\": {\"eid\": \"e13659\", \"logical_representation\": [\"2019/02/11\", \"I spent time gardening on 2019/02/11 with Kayden, Emily.\", \"gardening\", \"Kayden, Emily\"], \"text_template_based\": \"I spent time gardening on 2019/02/11 with Kayden, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Kayden, Emily?\", \"2019/02/11\"], [\"On 2019/02/11, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2019/02/11?\", \"Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13912\", \"logical_representation\": [\"2019/02/11\", \"dinner\", \"sushi\", \"Layla, Lydia, Nevaeh, Hazel, Rylee\"], \"text_template_based\": \"I had dinner with Layla, Lydia, Nevaeh, Hazel, Rylee. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/02/11?\", \"Layla, Lydia, Nevaeh, Hazel, Rylee\"], [\"what did I eat for dinner on 2019/02/11\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2019/02/05\": {\"grocery\": {\"eid\": \"e13660\", \"logical_representation\": [\"2019/02/05\", \"I bought some blackberries, pears, apple juice, sports drinks, mouthwash, body lotion, toilet paper online.\", \"blackberries, pears\", \"apple juice, sports drinks\", \"mouthwash, body lotion, toilet paper\", \"Andrew\"], \"text_template_based\": \"I bought some blackberries, pears, apple juice, sports drinks, mouthwash, body lotion, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/02/05?\", \"blackberries, pears, apple juice, sports drinks, and mouthwash, body lotion, toilet paper\"], [\"what fruits did I buy online on 2019/02/05?\", \"blackberries, pears\"], [\"what drinks did I buy online on 2019/02/05?\", \"apple juice, sports drinks\"], [\"what toiletries did I buy online on 2019/02/05?\", \"mouthwash, body lotion, toilet paper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13891\", \"logical_representation\": [\"2019/02/05\", \"breakfast\", \"toast and cheese\", \"Piper, Rylee\"], \"text_template_based\": \"I had toast and cheese for breakfast with Piper, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/02/05?\", \"Piper, Rylee\"], [\"what did I eat for breakfast on 2019/02/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13892\", \"logical_representation\": [\"2019/02/05\", \"lunch\", \"steak\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/02/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13893\", \"logical_representation\": [\"2019/02/05\", \"dinner\", \"sandwich\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/02/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13894\", \"logical_representation\": [\"2019/02/05\", \"Eva, Olivia, Avery, Kinsley\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I talked to Eva, Olivia, Avery, Kinsley for 49 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Avery, Kinsley during lunch hours on 2019/02/05?\", \"49 minutes\"], [\"who did I talk to on 2019/02/05?\", \"Eva, Olivia, Avery, Kinsley\"], [\"Did I talk to Eva, Olivia, Avery, Kinsley on 2019/02/05?\", \"yes\"], [\"Did I talk to anyone on 2019/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/08\": {\"grocery\": {\"eid\": \"e13661\", \"logical_representation\": [\"2019/02/08\", \"I bought some peaches, nectarines, raspberries, sports drinks, soda, shaving cream, toothbrush from the grocery store. I saw Emily, Kayden, Carter at the grocery store.\", \"peaches, nectarines, raspberries\", \"sports drinks, soda\", \"shaving cream, toothbrush\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I bought some peaches, nectarines, raspberries, sports drinks, soda, shaving cream, toothbrush from the grocery store. I saw Emily, Kayden, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/02/08?\", \"peaches, nectarines, raspberries, sports drinks, soda, and shaving cream, toothbrush\"], [\"what fruits did I buy from the grocery store on 2019/02/08?\", \"peaches, nectarines, raspberries\"], [\"what drinks did I buy from the grocery store on 2019/02/08?\", \"sports drinks, soda\"], [\"what toiletries did I buy from the grocery store on 2019/02/08?\", \"shaving cream, toothbrush\"], [\"who did I see at the grocery store on 2019/02/08?\", \"Emily, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13903\", \"logical_representation\": [\"2019/02/08\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/02/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/08?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13904\", \"logical_representation\": [\"2019/02/08\", \"Avery, Rylee\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Avery, Rylee for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee in the early evening on 2019/02/08?\", \"39 minutes\"], [\"who did I talk to on 2019/02/08?\", \"Avery, Rylee\"], [\"Did I talk to Avery, Rylee on 2019/02/08?\", \"yes\"], [\"Did I talk to anyone on 2019/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13905\", \"logical_representation\": [\"2019/02/08\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/02/08?\", \"42 minutes\"], [\"what did I read on 2019/02/08?\", \"a book\"], [\"Did I read on 2019/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/15\": {\"hobbies\": {\"eid\": \"e13662\", \"logical_representation\": [\"2019/02/15\", \"I really enjoyed yoga on 2019/02/15\", \"yoga\", \"Kayden\"], \"text_template_based\": \"I really enjoyed yoga on 2019/02/15\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2019/02/15\"], [\"On 2019/02/15, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13924\", \"logical_representation\": [\"2019/02/15\", \"breakfast\", \"pancakes\", \"Benjamin\"], \"text_template_based\": \"I had pancakes for breakfast with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/02/15?\", \"Benjamin\"], [\"what did I eat for breakfast on 2019/02/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/18\": {\"grocery\": {\"eid\": \"e13663\", \"logical_representation\": [\"2019/02/18\", \"I went grocery shopping with Olivia, Claire. I bought some oranges, clementines, apples, sports drinks, coffee, mineral water, soda, and facial wash, shampoo\", \"oranges, clementines, apples\", \"sports drinks, coffee, mineral water, soda\", \"facial wash, shampoo\", \"Olivia, Claire\"], \"text_template_based\": \"I went grocery shopping with Olivia, Claire. I bought some oranges, clementines, apples, sports drinks, coffee, mineral water, soda, and facial wash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/02/18?\", \"oranges, clementines, apples, sports drinks, coffee, mineral water, soda, and facial wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2019/02/18?\", \"oranges, clementines, apples\"], [\"what drinks did I buy from the grocery store on 2019/02/18?\", \"sports drinks, coffee, mineral water, soda\"], [\"what toiletries did I buy from the grocery store on 2019/02/18?\", \"facial wash, shampoo\"], [\"who was with me at the grocery store on 2019/02/18?\", \"Olivia, Claire\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13934\", \"logical_representation\": [\"2019/02/18\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/02/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13935\", \"logical_representation\": [\"2019/02/18\", \"dinner\", \"sandwich\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/02/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13936\", \"logical_representation\": [\"2019/02/18\", \"Nevaeh, Avery, Kinsley, Layla\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Avery, Kinsley, Layla for 18 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Kinsley, Layla in the late afternoon on 2019/02/18?\", \"18 minutes\"], [\"who did I talk to on 2019/02/18?\", \"Nevaeh, Avery, Kinsley, Layla\"], [\"Did I talk to Nevaeh, Avery, Kinsley, Layla on 2019/02/18?\", \"yes\"], [\"Did I talk to anyone on 2019/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13937\", \"logical_representation\": [\"2019/02/18\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/02/18?\", \"25 minutes\"], [\"what did I read on 2019/02/18?\", \"social media\"], [\"Did I read on 2019/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13938\", \"logical_representation\": [\"2019/02/18\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/18?\", \"22 minutes\"], [\"what did I watch on tv on 2019/02/18?\", \"news\"], [\"Did I watch tv on 2019/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/24\": {\"grocery\": {\"eid\": \"e13664\", \"logical_representation\": [\"2019/02/24\", \"I bought some apricots, strawberries, pineapples, apple juice, sports drinks, coffee, body lotion online.\", \"apricots, strawberries, pineapples\", \"apple juice, sports drinks, coffee\", \"body lotion\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I bought some apricots, strawberries, pineapples, apple juice, sports drinks, coffee, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/02/24?\", \"apricots, strawberries, pineapples, apple juice, sports drinks, coffee, and body lotion\"], [\"what fruits did I buy online on 2019/02/24?\", \"apricots, strawberries, pineapples\"], [\"what drinks did I buy online on 2019/02/24?\", \"apple juice, sports drinks, coffee\"], [\"what toiletries did I buy online on 2019/02/24?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13955\", \"logical_representation\": [\"2019/02/24\", \"Lydia, Eva\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva for 54 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva in the morning on 2019/02/24?\", \"54 minutes\"], [\"who did I talk to on 2019/02/24?\", \"Lydia, Eva\"], [\"Did I talk to Lydia, Eva on 2019/02/24?\", \"yes\"], [\"Did I talk to anyone on 2019/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/02\": {\"hobbies\": {\"eid\": \"e13665\", \"logical_representation\": [\"2019/03/02\", \"I spent time gardening on 2019/03/02 with Benjamin, Avery.\", \"gardening\", \"Benjamin, Avery\"], \"text_template_based\": \"I spent time gardening on 2019/03/02 with Benjamin, Avery.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Benjamin, Avery?\", \"2019/03/02\"], [\"On 2019/03/02, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2019/03/02?\", \"Benjamin, Avery\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13979\", \"logical_representation\": [\"2019/03/02\", \"breakfast\", \"cereals\", \"Emily, Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/03/02?\", \"Emily, Kayden\"], [\"what did I eat for breakfast on 2019/03/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13980\", \"logical_representation\": [\"2019/03/02\", \"dinner\", \"tacos\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/03/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13981\", \"logical_representation\": [\"2019/03/02\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I watched a movie for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/02?\", \"18 minutes\"], [\"what did I watch on tv on 2019/03/02?\", \"a movie\"], [\"Did I watch tv on 2019/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/28\": {\"grocery\": {\"eid\": \"e13666\", \"logical_representation\": [\"2019/02/28\", \"I bought some apples, milk, soda, apple juice, pineapple juice, toothpaste, conditioner from the grocery store. I saw Claire, Layla, Olivia, Lydia, Avery, Hazel at the grocery store.\", \"apples\", \"milk, soda, apple juice, pineapple juice\", \"toothpaste, conditioner\", \"Claire, Layla, Olivia, Lydia, Avery, Hazel\"], \"text_template_based\": \"I bought some apples, milk, soda, apple juice, pineapple juice, toothpaste, conditioner from the grocery store. I saw Claire, Layla, Olivia, Lydia, Avery, Hazel at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/02/28?\", \"apples, milk, soda, apple juice, pineapple juice, and toothpaste, conditioner\"], [\"what fruits did I buy from the grocery store on 2019/02/28?\", \"apples\"], [\"what drinks did I buy from the grocery store on 2019/02/28?\", \"milk, soda, apple juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2019/02/28?\", \"toothpaste, conditioner\"], [\"who did I see at the grocery store on 2019/02/28?\", \"Claire, Layla, Olivia, Lydia, Avery, Hazel\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13971\", \"logical_representation\": [\"2019/02/28\", \"dinner\", \"fish and chips\", \"Willow, Benjamin\"], \"text_template_based\": \"I had dinner with Willow, Benjamin. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/02/28?\", \"Willow, Benjamin\"], [\"what did I eat for dinner on 2019/02/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13972\", \"logical_representation\": [\"2019/02/28\", \"Nevaeh, Hazel, Lydia\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Nevaeh, Hazel, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Lydia in the late afternoon on 2019/02/28?\", \"28 minutes\"], [\"who did I talk to on 2019/02/28?\", \"Nevaeh, Hazel, Lydia\"], [\"Did I talk to Nevaeh, Hazel, Lydia on 2019/02/28?\", \"yes\"], [\"Did I talk to anyone on 2019/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13973\", \"logical_representation\": [\"2019/02/28\", \"Piper, Eva, Rylee, Claire\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Rylee, Claire for 37 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Rylee, Claire in the morning on 2019/02/28?\", \"37 minutes\"], [\"who did I talk to on 2019/02/28?\", \"Piper, Eva, Rylee, Claire\"], [\"Did I talk to Piper, Eva, Rylee, Claire on 2019/02/28?\", \"yes\"], [\"Did I talk to anyone on 2019/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/04\": {\"grocery\": {\"eid\": \"e13667\", \"logical_representation\": [\"2019/03/04\", \"I went grocery shopping. I bought some bananas, raspberries, blueberries, nectarines, mango juice, mineral water, pineapple juice, orange juice, and body lotion\", \"bananas, raspberries, blueberries, nectarines\", \"mango juice, mineral water, pineapple juice, orange juice\", \"body lotion\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, raspberries, blueberries, nectarines, mango juice, mineral water, pineapple juice, orange juice, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/03/04?\", \"bananas, raspberries, blueberries, nectarines, mango juice, mineral water, pineapple juice, orange juice, and body lotion\"], [\"what fruits did I buy from the grocery store on 2019/03/04?\", \"bananas, raspberries, blueberries, nectarines\"], [\"what drinks did I buy from the grocery store on 2019/03/04?\", \"mango juice, mineral water, pineapple juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2019/03/04?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13983\", \"logical_representation\": [\"2019/03/04\", \"Piper, Kinsley\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Piper, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley late in the evening on 2019/03/04?\", \"33 minutes\"], [\"who did I talk to on 2019/03/04?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2019/03/04?\", \"yes\"], [\"Did I talk to anyone on 2019/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13984\", \"logical_representation\": [\"2019/03/04\", \"a movie\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/04?\", \"9 minutes\"], [\"what did I watch on tv on 2019/03/04?\", \"a movie\"], [\"Did I watch tv on 2019/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/07\": {\"grocery\": {\"eid\": \"e13668\", \"logical_representation\": [\"2019/03/07\", \"I bought some guava, peaches, chocolate milk, mouthwash from the grocery store. I saw Emily, Andrew at the grocery store.\", \"guava, peaches\", \"chocolate milk\", \"mouthwash\", \"Emily, Andrew\"], \"text_template_based\": \"I bought some guava, peaches, chocolate milk, mouthwash from the grocery store. I saw Emily, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/03/07?\", \"guava, peaches, chocolate milk, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2019/03/07?\", \"guava, peaches\"], [\"what drinks did I buy from the grocery store on 2019/03/07?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2019/03/07?\", \"mouthwash\"], [\"who did I see at the grocery store on 2019/03/07?\", \"Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e13992\", \"logical_representation\": [\"2019/03/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/03/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13993\", \"logical_representation\": [\"2019/03/07\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Andrew, Carter. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/03/07?\", \"Emily, Andrew, Carter\"], [\"what did I eat for breakfast on 2019/03/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13994\", \"logical_representation\": [\"2019/03/07\", \"Lydia, Kinsley, Nevaeh\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Lydia, Kinsley, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Nevaeh in the early evening on 2019/03/07?\", \"53 minutes\"], [\"who did I talk to on 2019/03/07?\", \"Lydia, Kinsley, Nevaeh\"], [\"Did I talk to Lydia, Kinsley, Nevaeh on 2019/03/07?\", \"yes\"], [\"Did I talk to anyone on 2019/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/11\": {\"grocery\": {\"eid\": \"e13669\", \"logical_representation\": [\"2019/03/11\", \"I went grocery shopping with Piper, Olivia, Nevaeh, Nora, Piper, Eva, Kinsley, Claire. I bought some watermelons, mandarins, mango juice, and conditioner, toothbrush, shampoo\", \"watermelons, mandarins\", \"mango juice\", \"conditioner, toothbrush, shampoo\", \"Piper, Olivia, Nevaeh, Nora, Piper, Eva, Kinsley, Claire\"], \"text_template_based\": \"I went grocery shopping with Piper, Olivia, Nevaeh, Nora, Piper, Eva, Kinsley, Claire. I bought some watermelons, mandarins, mango juice, and conditioner, toothbrush, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/03/11?\", \"watermelons, mandarins, mango juice, and conditioner, toothbrush, shampoo\"], [\"what fruits did I buy from the grocery store on 2019/03/11?\", \"watermelons, mandarins\"], [\"what drinks did I buy from the grocery store on 2019/03/11?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2019/03/11?\", \"conditioner, toothbrush, shampoo\"], [\"who was with me at the grocery store on 2019/03/11?\", \"Piper, Olivia, Nevaeh, Nora, Piper, Eva, Kinsley, Claire\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14003\", \"logical_representation\": [\"2019/03/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/03/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14004\", \"logical_representation\": [\"2019/03/11\", \"breakfast\", \"pancakes\", \"Nevaeh, Olivia, Layla, Eva, Hazel, Avery, Nora, Rylee, Kinsley, Piper, Lydia\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/03/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14005\", \"logical_representation\": [\"2019/03/11\", \"dinner\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/03/11?\", \"Kayden\"], [\"what did I eat for dinner on 2019/03/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2019/03/16\": {\"grocery\": {\"eid\": \"e13670\", \"logical_representation\": [\"2019/03/16\", \"I bought some clementines, mineral water, pineapple juice, soda, toothbrush, body lotion, mouthwash online.\", \"clementines\", \"mineral water, pineapple juice, soda\", \"toothbrush, body lotion, mouthwash\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I bought some clementines, mineral water, pineapple juice, soda, toothbrush, body lotion, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/03/16?\", \"clementines, mineral water, pineapple juice, soda, and toothbrush, body lotion, mouthwash\"], [\"what fruits did I buy online on 2019/03/16?\", \"clementines\"], [\"what drinks did I buy online on 2019/03/16?\", \"mineral water, pineapple juice, soda\"], [\"what toiletries did I buy online on 2019/03/16?\", \"toothbrush, body lotion, mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14025\", \"logical_representation\": [\"2019/03/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/03/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14026\", \"logical_representation\": [\"2019/03/16\", \"lunch\", \"chinese food\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/03/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14027\", \"logical_representation\": [\"2019/03/16\", \"Kinsley, Hazel\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel for 20 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel during lunch hours on 2019/03/16?\", \"20 minutes\"], [\"who did I talk to on 2019/03/16?\", \"Kinsley, Hazel\"], [\"Did I talk to Kinsley, Hazel on 2019/03/16?\", \"yes\"], [\"Did I talk to anyone on 2019/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/25\": {\"dating\": {\"eid\": \"e13671\", \"logical_representation\": [\"2019/03/25\", \"Hudson\", \"a restaurant\"], \"text_template_based\": \"On 2019/03/25, I took Hudson on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/03/25\", \"Hudson\"], [\"where did I go for the date on 2019/03/25\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e13673\", \"logical_representation\": [\"2019/03/25\", \"I went grocery shopping. I bought some nectarines, apples, blackberries, mango juice, orange juice, mineral water, milk, and toilet paper, shaving cream, mouthwash\", \"nectarines, apples, blackberries\", \"mango juice, orange juice, mineral water, milk\", \"toilet paper, shaving cream, mouthwash\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I went grocery shopping. I bought some nectarines, apples, blackberries, mango juice, orange juice, mineral water, milk, and toilet paper, shaving cream, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/03/25?\", \"nectarines, apples, blackberries, mango juice, orange juice, mineral water, milk, and toilet paper, shaving cream, mouthwash\"], [\"what fruits did I buy from the grocery store on 2019/03/25?\", \"nectarines, apples, blackberries\"], [\"what drinks did I buy from the grocery store on 2019/03/25?\", \"mango juice, orange juice, mineral water, milk\"], [\"what toiletries did I buy from the grocery store on 2019/03/25?\", \"toilet paper, shaving cream, mouthwash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14050\", \"logical_representation\": [\"2019/03/25\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/03/25?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for breakfast on 2019/03/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14051\", \"logical_representation\": [\"2019/03/25\", \"lunch\", \"indian food\", \"Piper, Kinsley, Claire\"], \"text_template_based\": \"I had indian food for lunch with Piper, Kinsley, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/03/25?\", \"Piper, Kinsley, Claire\"], [\"what did I eat for lunch on 2019/03/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14052\", \"logical_representation\": [\"2019/03/25\", \"dinner\", \"sandwich\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/03/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14053\", \"logical_representation\": [\"2019/03/25\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/25?\", \"50 minutes\"], [\"what did I watch on tv on 2019/03/25?\", \"a documentary\"], [\"Did I watch tv on 2019/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/31\": {\"dating\": {\"eid\": \"e13674\", \"logical_representation\": [\"2019/03/31\", \"Joseph\", \"a boba shop\"], \"text_template_based\": \"On 2019/03/31, I took Joseph on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/03/31\", \"Joseph\"], [\"where did I go for the date on 2019/03/31\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14076\", \"logical_representation\": [\"2019/03/31\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/03/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/31?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14077\", \"logical_representation\": [\"2019/03/31\", \"lunch\", \"sushi\", \"Rylee, Nora, Nevaeh, Hazel, Claire, Piper, Olivia, Avery\"], \"text_template_based\": \"I had sushi for lunch with Rylee, Nora, Nevaeh, Hazel, Claire, Piper, Olivia, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/03/31?\", \"Rylee, Nora, Nevaeh, Hazel, Claire, Piper, Olivia, Avery\"], [\"what did I eat for lunch on 2019/03/31\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14078\", \"logical_representation\": [\"2019/03/31\", \"Nevaeh, Piper, Kinsley\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Nevaeh, Piper, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Kinsley in the early evening on 2019/03/31?\", \"48 minutes\"], [\"who did I talk to on 2019/03/31?\", \"Nevaeh, Piper, Kinsley\"], [\"Did I talk to Nevaeh, Piper, Kinsley on 2019/03/31?\", \"yes\"], [\"Did I talk to anyone on 2019/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14079\", \"logical_representation\": [\"2019/03/31\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/03/31?\", \"55 minutes\"], [\"what did I read on 2019/03/31?\", \"a book\"], [\"Did I read on 2019/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/30\": {\"hobbies\": {\"eid\": \"e13675\", \"logical_representation\": [\"2019/03/30\", \"I really enjoyed yoga on 2019/03/30\", \"yoga\", \"Emily, Carter\"], \"text_template_based\": \"I really enjoyed yoga on 2019/03/30\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2019/03/30\"], [\"On 2019/03/30, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14071\", \"logical_representation\": [\"2019/03/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/03/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14072\", \"logical_representation\": [\"2019/03/30\", \"breakfast\", \"pancakes\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Carter, Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/03/30?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2019/03/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14073\", \"logical_representation\": [\"2019/03/30\", \"dinner\", \"indian food\", \"Piper\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/03/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14074\", \"logical_representation\": [\"2019/03/30\", \"Piper\", \"in the late afternoon\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2019/03/30?\", \"8 minutes\"], [\"who did I talk to on 2019/03/30?\", \"Piper\"], [\"Did I talk to Piper on 2019/03/30?\", \"yes\"], [\"Did I talk to anyone on 2019/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14075\", \"logical_representation\": [\"2019/03/30\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/30?\", \"43 minutes\"], [\"what did I watch on tv on 2019/03/30?\", \"a documentary\"], [\"Did I watch tv on 2019/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/08\": {\"dating\": {\"eid\": \"e13676\", \"logical_representation\": [\"2019/04/08\", \"Theodore\", \"a boba shop\"], \"text_template_based\": \"On 2019/04/08, I took Theodore on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/04/08\", \"Theodore\"], [\"where did I go for the date on 2019/04/08\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14103\", \"logical_representation\": [\"2019/04/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/04/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14104\", \"logical_representation\": [\"2019/04/08\", \"dinner\", \"chinese food\", \"Olivia, Layla, Avery, Nevaeh, Rylee, Hazel, Piper\"], \"text_template_based\": \"I had chinese food for dinner with Olivia, Layla, Avery, Nevaeh, Rylee, Hazel, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/04/08?\", \"Olivia, Layla, Avery, Nevaeh, Rylee, Hazel, Piper\"], [\"what did I eat for dinner on 2019/04/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14105\", \"logical_representation\": [\"2019/04/08\", \"Hazel, Layla, Rylee, Claire\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Hazel, Layla, Rylee, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla, Rylee, Claire in the morning on 2019/04/08?\", \"49 minutes\"], [\"who did I talk to on 2019/04/08?\", \"Hazel, Layla, Rylee, Claire\"], [\"Did I talk to Hazel, Layla, Rylee, Claire on 2019/04/08?\", \"yes\"], [\"Did I talk to anyone on 2019/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14106\", \"logical_representation\": [\"2019/04/08\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/04/08?\", \"28 minutes\"], [\"what did I read on 2019/04/08?\", \"a book\"], [\"Did I read on 2019/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14107\", \"logical_representation\": [\"2019/04/08\", \"a documentary\", \"18 minutes\"], \"text_template_based\": \"I watched a documentary for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/08?\", \"18 minutes\"], [\"what did I watch on tv on 2019/04/08?\", \"a documentary\"], [\"Did I watch tv on 2019/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/13\": {\"grocery\": {\"eid\": \"e13677\", \"logical_representation\": [\"2019/04/13\", \"I went grocery shopping. I bought some oranges, peaches, nectarines, bananas, guava juice, soda, mineral water, orange juice, and toilet paper, body lotion\", \"oranges, peaches, nectarines, bananas\", \"guava juice, soda, mineral water, orange juice\", \"toilet paper, body lotion\", \"Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, peaches, nectarines, bananas, guava juice, soda, mineral water, orange juice, and toilet paper, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/04/13?\", \"oranges, peaches, nectarines, bananas, guava juice, soda, mineral water, orange juice, and toilet paper, body lotion\"], [\"what fruits did I buy from the grocery store on 2019/04/13?\", \"oranges, peaches, nectarines, bananas\"], [\"what drinks did I buy from the grocery store on 2019/04/13?\", \"guava juice, soda, mineral water, orange juice\"], [\"what toiletries did I buy from the grocery store on 2019/04/13?\", \"toilet paper, body lotion\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14123\", \"logical_representation\": [\"2019/04/13\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I watched a documentary for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/13?\", \"20 minutes\"], [\"what did I watch on tv on 2019/04/13?\", \"a documentary\"], [\"Did I watch tv on 2019/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/17\": {\"cook\": {\"eid\": \"e13678\", \"logical_representation\": [\"2019/04/17\", \"I was cooking sushi, chicken and gravy on 2019/04/17 with Layla, Claire, Olivia, Kinsley at my place\", \"cook\", \"sushi, chicken and gravy\", \"Layla, Claire, Olivia, Kinsley\", \"my place\"], \"text_template_based\": \"I was cooking sushi, chicken and gravy on 2019/04/17 with Layla, Claire, Olivia, Kinsley at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  sushi, chicken and gravy with Layla, Claire, Olivia, Kinsley?\", \"2019/04/17\"], [\"what did I  on 2019/04/17?\", \"sushi, chicken and gravy\"], [\"who was I with when I  sushi, chicken and gravy on 2019/04/17?\", \"Layla, Claire, Olivia, Kinsley\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14132\", \"logical_representation\": [\"2019/04/17\", \"lunch\", \"fish and chips\", \"Rylee, Piper, Nora, Olivia, Eva, Avery, Hazel, Claire, Lydia, Kinsley\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/04/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14133\", \"logical_representation\": [\"2019/04/17\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/04/17?\", \"31 minutes\"], [\"what did I read on 2019/04/17?\", \"social media\"], [\"Did I read on 2019/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/20\": {\"grocery\": {\"eid\": \"e13679\", \"logical_representation\": [\"2019/04/20\", \"I went grocery shopping. I bought some mangos, blackberries, pineapple juice, sports drinks, and body lotion, toilet paper\", \"mangos, blackberries\", \"pineapple juice, sports drinks\", \"body lotion, toilet paper\", \"Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, blackberries, pineapple juice, sports drinks, and body lotion, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/04/20?\", \"mangos, blackberries, pineapple juice, sports drinks, and body lotion, toilet paper\"], [\"what fruits did I buy from the grocery store on 2019/04/20?\", \"mangos, blackberries\"], [\"what drinks did I buy from the grocery store on 2019/04/20?\", \"pineapple juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2019/04/20?\", \"body lotion, toilet paper\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14142\", \"logical_representation\": [\"2019/04/20\", \"lunch\", \"sandwich\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/04/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14143\", \"logical_representation\": [\"2019/04/20\", \"dinner\", \"indian food\", \"Nora, Piper, Avery, Rylee, Olivia, Hazel, Lydia, Piper, Layla, Eva, Kinsley, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/04/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14144\", \"logical_representation\": [\"2019/04/20\", \"Eva\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2019/04/20?\", \"48 minutes\"], [\"who did I talk to on 2019/04/20?\", \"Eva\"], [\"Did I talk to Eva on 2019/04/20?\", \"yes\"], [\"Did I talk to anyone on 2019/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14145\", \"logical_representation\": [\"2019/04/20\", \"Hazel, Avery, Olivia\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I talked to Hazel, Avery, Olivia for 49 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Olivia in the early afternoon on 2019/04/20?\", \"49 minutes\"], [\"who did I talk to on 2019/04/20?\", \"Hazel, Avery, Olivia\"], [\"Did I talk to Hazel, Avery, Olivia on 2019/04/20?\", \"yes\"], [\"Did I talk to anyone on 2019/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/29\": {\"grocery\": {\"eid\": \"e13680\", \"logical_representation\": [\"2019/04/29\", \"I bought some clementines, mandarins, blackberries, bananas, milk, tea, apple juice, coffee, mouth wash from the grocery store. I saw Olivia, Lydia, Avery, Claire, Piper, Nevaeh, Layla, Rylee, Eva, Kinsley, Nora, Hazel at the grocery store.\", \"clementines, mandarins, blackberries, bananas\", \"milk, tea, apple juice, coffee\", \"mouth wash\", \"Olivia, Lydia, Avery, Claire, Piper, Nevaeh, Layla, Rylee, Eva, Kinsley, Nora, Hazel\"], \"text_template_based\": \"I bought some clementines, mandarins, blackberries, bananas, milk, tea, apple juice, coffee, mouth wash from the grocery store. 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I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/04/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14183\", \"logical_representation\": [\"2019/04/29\", \"Layla, Eva, Piper\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Layla, Eva, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Piper late in the evening on 2019/04/29?\", \"43 minutes\"], [\"who did I talk to on 2019/04/29?\", \"Layla, Eva, Piper\"], [\"Did I talk to Layla, Eva, Piper on 2019/04/29?\", \"yes\"], [\"Did I talk to anyone on 2019/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/02\": {\"hobbies\": {\"eid\": \"e13681\", \"logical_representation\": [\"2019/05/02\", \"I really enjoyed yoga on 2019/05/02\", \"yoga\", \"Andrew\"], \"text_template_based\": \"I really enjoyed yoga on 2019/05/02\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2019/05/02\"], [\"On 2019/05/02, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14193\", \"logical_representation\": [\"2019/05/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/05/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14194\", \"logical_representation\": [\"2019/05/02\", \"breakfast\", \"pancakes\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14195\", \"logical_representation\": [\"2019/05/02\", \"Nora\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Nora for 49 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2019/05/02?\", \"49 minutes\"], [\"who did I talk to on 2019/05/02?\", \"Nora\"], [\"Did I talk to Nora on 2019/05/02?\", \"yes\"], [\"Did I talk to anyone on 2019/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14196\", \"logical_representation\": [\"2019/05/02\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/05/02?\", \"31 minutes\"], [\"what did I read on 2019/05/02?\", \"news\"], [\"Did I read on 2019/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14197\", \"logical_representation\": [\"2019/05/02\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/02?\", \"10 minutes\"], [\"what did I watch on tv on 2019/05/02?\", \"news\"], [\"Did I watch tv on 2019/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/03\": {\"grocery\": {\"eid\": \"e13682\", \"logical_representation\": [\"2019/05/03\", \"I went grocery shopping. I bought some mandarins, clementines, pineapple juice, and body lotion, shaving cream, mouth wash, toothbrush\", \"mandarins, clementines\", \"pineapple juice\", \"body lotion, shaving cream, mouth wash, toothbrush\", \"Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, clementines, pineapple juice, and body lotion, shaving cream, mouth wash, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/05/03?\", \"mandarins, clementines, pineapple juice, and body lotion, shaving cream, mouth wash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2019/05/03?\", \"mandarins, clementines\"], [\"what drinks did I buy from the grocery store on 2019/05/03?\", \"pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2019/05/03?\", \"body lotion, shaving cream, mouth wash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14198\", \"logical_representation\": [\"2019/05/03\", \"lunch\", \"pasta\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had lunch with Carter, Andrew, Kayden, Emily. 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I saw Avery, Jackson, Willow at the grocery store.\", \"clementines, mangos\", \"apple juice, mango juice, mineral water\", \"mouth wash, paper towel\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I bought some clementines, mangos, apple juice, mango juice, mineral water, mouth wash, paper towel from the grocery store. I saw Avery, Jackson, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/05/12?\", \"clementines, mangos, apple juice, mango juice, mineral water, and mouth wash, paper towel\"], [\"what fruits did I buy from the grocery store on 2019/05/12?\", \"clementines, mangos\"], [\"what drinks did I buy from the grocery store on 2019/05/12?\", \"apple juice, mango juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2019/05/12?\", \"mouth wash, paper towel\"], [\"who did I see at the grocery store on 2019/05/12?\", \"Avery, Jackson, Willow\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14230\", \"logical_representation\": [\"2019/05/12\", \"lunch\", \"sandwich\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/05/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14231\", \"logical_representation\": [\"2019/05/12\", \"dinner\", \"steak\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had dinner. 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I bought some cherres, nectarines, chocolate milk, mango juice, soda, and conditioner, toothpaste, shaving cream, toilet paper\", \"cherres, nectarines\", \"chocolate milk, mango juice, soda\", \"conditioner, toothpaste, shaving cream, toilet paper\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some cherres, nectarines, chocolate milk, mango juice, soda, and conditioner, toothpaste, shaving cream, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/05/27?\", \"cherres, nectarines, chocolate milk, mango juice, soda, and conditioner, toothpaste, shaving cream, toilet paper\"], [\"what fruits did I buy from the grocery store on 2019/05/27?\", \"cherres, nectarines\"], [\"what drinks did I buy from the grocery store on 2019/05/27?\", \"chocolate milk, mango juice, soda\"], [\"what toiletries did I buy from the grocery store on 2019/05/27?\", \"conditioner, toothpaste, shaving cream, toilet paper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14298\", \"logical_representation\": [\"2019/05/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Layla, Lydia, Rylee\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14299\", \"logical_representation\": [\"2019/05/27\", \"dinner\", \"a burger\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/05/27\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2019/06/01\": {\"hobbies\": {\"eid\": \"e13689\", \"logical_representation\": [\"2019/06/01\", \"I spent time meditation on 2019/06/01 with Andrew.\", \"meditation\", \"Andrew\"], \"text_template_based\": \"I spent time meditation on 2019/06/01 with Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Andrew?\", \"2019/06/01\"], [\"On 2019/06/01, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2019/06/01?\", \"Andrew\"]], 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hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Hazel during lunch hours on 2019/06/01?\", \"5 minutes\"], [\"who did I talk to on 2019/06/01?\", \"Layla, Piper, Hazel\"], [\"Did I talk to Layla, Piper, Hazel on 2019/06/01?\", \"yes\"], [\"Did I talk to anyone on 2019/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14316\", \"logical_representation\": [\"2019/06/01\", \"Nora, Eva, Piper\", \"in the morning\", \"8 minutes\"], \"text_template_based\": \"I talked to Nora, Eva, Piper for 8 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Piper in the morning on 2019/06/01?\", \"8 minutes\"], [\"who did I talk to on 2019/06/01?\", \"Nora, Eva, Piper\"], [\"Did I talk to Nora, Eva, Piper on 2019/06/01?\", \"yes\"], [\"Did I talk to anyone on 2019/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14317\", \"logical_representation\": [\"2019/06/01\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/06/01?\", \"27 minutes\"], [\"what did I read on 2019/06/01?\", \"social media\"], [\"Did I read on 2019/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/10\": {\"dating\": {\"eid\": \"e13690\", \"logical_representation\": [\"2019/06/10\", \"Rylee\", \"a boba shop\"], \"text_template_based\": \"On 2019/06/10, I took Rylee on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/06/10\", \"Rylee\"], [\"where did I go for the date on 2019/06/10\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14350\", \"logical_representation\": [\"2019/06/10\", \"breakfast\", \"cereals\", \"Kayden, Emily, Carter, Andrew\"], 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I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/06/10?\", \"Hazel, Eva, Piper, Kinsley, Layla, Rylee, Avery, Nevaeh, Lydia\"], [\"what did I eat for dinner on 2019/06/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14353\", \"logical_representation\": [\"2019/06/10\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/06/10?\", \"35 minutes\"], [\"what did I read on 2019/06/10?\", \"news\"], [\"Did I read on 2019/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14354\", \"logical_representation\": [\"2019/06/10\", \"news\", \"24 minutes\"], \"text_template_based\": \"I watched news for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/10?\", \"24 minutes\"], [\"what did I watch on tv on 2019/06/10?\", \"news\"], [\"Did I watch tv on 2019/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/06\": {\"grocery\": {\"eid\": \"e13691\", \"logical_representation\": [\"2019/06/06\", \"I went grocery shopping. I bought some raspberries, blueberries, cherres, apples, mineral water, chocolate milk, and toothpaste\", \"raspberries, blueberries, cherres, apples\", \"mineral water, chocolate milk\", \"toothpaste\", \"Eva, Olivia, Claire, Rylee, Nevaeh, Lydia, Piper, Avery, Nora, Layla\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, blueberries, cherres, apples, mineral water, chocolate milk, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/06/06?\", \"raspberries, blueberries, cherres, apples, mineral water, chocolate milk, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2019/06/06?\", \"raspberries, blueberries, cherres, apples\"], [\"what drinks did I buy from the grocery store on 2019/06/06?\", \"mineral water, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2019/06/06?\", \"toothpaste\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14331\", \"logical_representation\": [\"2019/06/06\", \"breakfast\", \"cereals\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/06/06\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14332\", \"logical_representation\": [\"2019/06/06\", \"dinner\", \"sandwich\", \"Avery, Jackson\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/06/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14333\", \"logical_representation\": [\"2019/06/06\", \"Eva, Claire, Layla, Avery\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Eva, Claire, Layla, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire, Layla, Avery in the early evening on 2019/06/06?\", \"47 minutes\"], [\"who did I talk to on 2019/06/06?\", \"Eva, Claire, Layla, Avery\"], [\"Did I talk to Eva, Claire, Layla, Avery on 2019/06/06?\", \"yes\"], [\"Did I talk to anyone on 2019/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14334\", \"logical_representation\": [\"2019/06/06\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/06/06?\", \"7 minutes\"], [\"what did I read on 2019/06/06?\", \"a book\"], [\"Did I read on 2019/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14335\", \"logical_representation\": [\"2019/06/06\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/06?\", \"28 minutes\"], [\"what did I watch on tv on 2019/06/06?\", \"a tv series\"], [\"Did I watch tv on 2019/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/08\": {\"grocery\": {\"eid\": \"e13692\", \"logical_representation\": [\"2019/06/08\", \"I went grocery shopping. I bought some apples, pears, mineral water, sports drinks, and shampoo\", \"apples, pears\", \"mineral water, sports drinks\", \"shampoo\", \"Kinsley, Layla, Hazel, Olivia\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, pears, mineral water, sports drinks, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/06/08?\", \"apples, pears, mineral water, sports drinks, and shampoo\"], [\"what fruits did I buy from the grocery store on 2019/06/08?\", \"apples, pears\"], [\"what drinks did I buy from the grocery store on 2019/06/08?\", \"mineral water, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2019/06/08?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14341\", \"logical_representation\": [\"2019/06/08\", \"lunch\", \"steak\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/06/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14342\", \"logical_representation\": [\"2019/06/08\", \"dinner\", \"fish and chips\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/06/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14343\", \"logical_representation\": [\"2019/06/08\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/06/08?\", \"42 minutes\"], [\"what did I read on 2019/06/08?\", \"news\"], [\"Did I read on 2019/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14344\", \"logical_representation\": [\"2019/06/08\", \"a documentary\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/08?\", \"29 minutes\"], [\"what did I watch on tv on 2019/06/08?\", \"a documentary\"], [\"Did I watch tv on 2019/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/14\": {\"dating\": {\"eid\": \"e13693\", \"logical_representation\": [\"2019/06/14\", \"Jace\", \"a boba shop\"], \"text_template_based\": \"On 2019/06/14, I took Jace on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/06/14\", \"Jace\"], [\"where did I go for the date on 2019/06/14\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14364\", \"logical_representation\": [\"2019/06/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/06/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14365\", \"logical_representation\": [\"2019/06/14\", \"lunch\", \"indian food\", \"Nora, Eva, Lydia, Rylee, Hazel, Piper, Kinsley, Layla, Piper\"], \"text_template_based\": \"I had indian food for lunch with Nora, Eva, Lydia, Rylee, Hazel, Piper, Kinsley, Layla, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/06/14?\", \"Nora, Eva, Lydia, Rylee, Hazel, Piper, Kinsley, Layla, Piper\"], [\"what did I eat for lunch on 2019/06/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14366\", \"logical_representation\": [\"2019/06/14\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I watched a tv series for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/14?\", \"43 minutes\"], [\"what did I watch on tv on 2019/06/14?\", \"a tv series\"], [\"Did I watch tv on 2019/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/12\": {\"grocery\": {\"eid\": \"e13694\", \"logical_representation\": [\"2019/06/12\", \"I bought some blueberries, nectarines, soda, conditioner, mouthwash online.\", \"blueberries, nectarines\", \"soda\", \"conditioner, mouthwash\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I bought some blueberries, nectarines, soda, conditioner, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/06/12?\", \"blueberries, nectarines, soda, and conditioner, mouthwash\"], [\"what fruits did I buy online on 2019/06/12?\", \"blueberries, nectarines\"], [\"what drinks did I buy online on 2019/06/12?\", \"soda\"], [\"what toiletries did I buy online on 2019/06/12?\", \"conditioner, mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14357\", \"logical_representation\": [\"2019/06/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/06/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14358\", \"logical_representation\": [\"2019/06/12\", \"breakfast\", \"oatmeal\", \"Hazel\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/06/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14359\", \"logical_representation\": [\"2019/06/12\", \"lunch\", \"pasta\", \"Eva, Claire, Nora, Hazel, Layla, Lydia, Nevaeh, Olivia, Avery, Piper\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/06/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14360\", \"logical_representation\": [\"2019/06/12\", \"Piper, Lydia\", \"in the late afternoon\", \"22 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia for 22 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia in the late afternoon on 2019/06/12?\", \"22 minutes\"], [\"who did I talk to on 2019/06/12?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2019/06/12?\", \"yes\"], [\"Did I talk to anyone on 2019/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/15\": {\"grocery\": {\"eid\": \"e13695\", \"logical_representation\": [\"2019/06/15\", \"I went grocery shopping with Andrew. I bought some cherres, watermelons, nectarines, guava, tea, orange juice, mango juice, and facial wash, body lotion, shaving cream, toothpaste\", \"cherres, watermelons, nectarines, guava\", \"tea, orange juice, mango juice\", \"facial wash, body lotion, shaving cream, toothpaste\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping with Andrew. I bought some cherres, watermelons, nectarines, guava, tea, orange juice, mango juice, and facial wash, body lotion, shaving cream, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/06/15?\", \"cherres, watermelons, nectarines, guava, tea, orange juice, mango juice, and facial wash, body lotion, shaving cream, toothpaste\"], [\"what fruits did I buy from the grocery store on 2019/06/15?\", \"cherres, watermelons, nectarines, guava\"], [\"what drinks did I buy from the grocery store on 2019/06/15?\", \"tea, orange juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2019/06/15?\", \"facial wash, body lotion, shaving cream, toothpaste\"], [\"who was with me at the grocery store on 2019/06/15?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14367\", \"logical_representation\": [\"2019/06/15\", \"breakfast\", \"peanut-butter-jam\", \"Hazel, Claire, Rylee, Avery, Kinsley, Piper, Piper, Nora, Eva, Layla, Lydia\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/06/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14368\", \"logical_representation\": [\"2019/06/15\", \"dinner\", \"steak\", \"Carter, Kayden\"], \"text_template_based\": \"I had steak for dinner with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/06/15?\", \"Carter, Kayden\"], [\"what did I eat for dinner on 2019/06/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14369\", \"logical_representation\": [\"2019/06/15\", \"Hazel\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I talked to Hazel for 54 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2019/06/15?\", \"54 minutes\"], [\"who did I talk to on 2019/06/15?\", \"Hazel\"], [\"Did I talk to Hazel on 2019/06/15?\", \"yes\"], [\"Did I talk to anyone on 2019/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14370\", \"logical_representation\": [\"2019/06/15\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/06/15?\", \"34 minutes\"], [\"what did I read on 2019/06/15?\", \"news\"], [\"Did I read on 2019/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14371\", \"logical_representation\": [\"2019/06/15\", \"a documentary\", \"29 minutes\"], \"text_template_based\": \"I watched a documentary for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/15?\", \"29 minutes\"], [\"what did I watch on tv on 2019/06/15?\", \"a documentary\"], [\"Did I watch tv on 2019/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/18\": {\"dating\": {\"eid\": \"e13696\", \"logical_representation\": [\"2019/06/18\", \"Kinsley\", \"a park\"], \"text_template_based\": \"On 2019/06/18, I took Kinsley on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/06/18\", \"Kinsley\"], [\"where did I go for the date on 2019/06/18\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14380\", \"logical_representation\": [\"2019/06/18\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/06/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14381\", \"logical_representation\": [\"2019/06/18\", \"lunch\", \"sandwich\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/06/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14382\", \"logical_representation\": [\"2019/06/18\", \"dinner\", \"sushi\", \"Rylee, Olivia, Eva, Nevaeh, Lydia, Nora, Claire, Piper, Layla, Piper\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/06/18\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2019/06/24\": {\"dating\": {\"eid\": \"e13697\", \"logical_representation\": [\"2019/06/24\", \"Charlotte\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Charlotte on 2019/06/24 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/06/24\", \"Charlotte\"], [\"where did I go for the date on 2019/06/24\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14406\", \"logical_representation\": [\"2019/06/24\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/06/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14407\", \"logical_representation\": [\"2019/06/24\", \"Kinsley, Nevaeh\", \"late in the evening\", \"54 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh for 54 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh late in the evening on 2019/06/24?\", \"54 minutes\"], [\"who did I talk to on 2019/06/24?\", \"Kinsley, Nevaeh\"], [\"Did I talk to Kinsley, Nevaeh on 2019/06/24?\", \"yes\"], [\"Did I talk to anyone on 2019/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14408\", \"logical_representation\": [\"2019/06/24\", \"Eva, Olivia, Kinsley, Hazel\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I talked to Eva, Olivia, Kinsley, Hazel for 33 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Kinsley, Hazel late in the evening on 2019/06/24?\", \"33 minutes\"], [\"who did I talk to on 2019/06/24?\", \"Eva, Olivia, Kinsley, Hazel\"], [\"Did I talk to Eva, Olivia, Kinsley, Hazel on 2019/06/24?\", \"yes\"], [\"Did I talk to anyone on 2019/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14409\", \"logical_representation\": [\"2019/06/24\", \"a documentary\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/24?\", \"48 minutes\"], [\"what did I watch on tv on 2019/06/24?\", \"a documentary\"], [\"Did I watch tv on 2019/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/22\": {\"grocery\": {\"eid\": \"e13698\", \"logical_representation\": [\"2019/06/22\", \"I bought some watermelons, mineral water, guava juice, mouth wash, conditioner, shampoo, paper towel from the grocery store. I saw Nevaeh, Olivia, Kinsley, Avery, Lydia at the grocery store.\", \"watermelons\", \"mineral water, guava juice\", \"mouth wash, conditioner, shampoo, paper towel\", \"Nevaeh, Olivia, Kinsley, Avery, Lydia\"], \"text_template_based\": \"I bought some watermelons, mineral water, guava juice, mouth wash, conditioner, shampoo, paper towel from the grocery store. I saw Nevaeh, Olivia, Kinsley, Avery, Lydia at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/06/22?\", \"watermelons, mineral water, guava juice, and mouth wash, conditioner, shampoo, paper towel\"], [\"what fruits did I buy from the grocery store on 2019/06/22?\", \"watermelons\"], [\"what drinks did I buy from the grocery store on 2019/06/22?\", \"mineral water, guava juice\"], [\"what toiletries did I buy from the grocery store on 2019/06/22?\", \"mouth wash, conditioner, shampoo, paper towel\"], [\"who did I see at the grocery store on 2019/06/22?\", \"Nevaeh, Olivia, Kinsley, Avery, Lydia\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14396\", \"logical_representation\": [\"2019/06/22\", \"lunch\", \"indian food\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch. 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\"yes\"], [\"Did I talk to anyone on 2019/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14399\", \"logical_representation\": [\"2019/06/22\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/06/22?\", \"40 minutes\"], [\"what did I read on 2019/06/22?\", \"news\"], [\"Did I read on 2019/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14400\", \"logical_representation\": [\"2019/06/22\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I watched a tv series for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/22?\", \"39 minutes\"], [\"what did I watch on tv on 2019/06/22?\", \"a tv series\"], [\"Did I watch tv on 2019/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/27\": {\"dating\": {\"eid\": \"e13699\", \"logical_representation\": [\"2019/06/27\", \"Jackson\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Jackson on 2019/06/27 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/06/27\", \"Jackson\"], [\"where did I go for the date on 2019/06/27\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14418\", \"logical_representation\": [\"2019/06/27\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/06/27?\", \"52 minutes\"], [\"what did I read on 2019/06/27?\", \"a book\"], [\"Did I read on 2019/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14419\", \"logical_representation\": [\"2019/06/27\", \"news\", \"37 minutes\"], \"text_template_based\": \"I watched news for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/27?\", \"37 minutes\"], [\"what did I watch on tv on 2019/06/27?\", \"news\"], [\"Did I watch tv on 2019/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/25\": {\"grocery\": {\"eid\": \"e13700\", \"logical_representation\": [\"2019/06/25\", \"I bought some apples, nectarines, tea, mineral water, chocolate milk, mango juice, toothbrush, shampoo online.\", \"apples, nectarines\", \"tea, mineral water, chocolate milk, mango juice\", \"toothbrush, shampoo\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I bought some apples, nectarines, tea, mineral water, chocolate milk, mango juice, toothbrush, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/06/25?\", \"apples, nectarines, tea, mineral water, chocolate milk, mango juice, and toothbrush, shampoo\"], [\"what fruits did I buy online on 2019/06/25?\", \"apples, nectarines\"], [\"what drinks did I buy online on 2019/06/25?\", \"tea, mineral water, chocolate milk, mango juice\"], [\"what toiletries did I buy online on 2019/06/25?\", \"toothbrush, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14410\", \"logical_representation\": [\"2019/06/25\", \"biking\"], \"text_template_based\": \"I did biking on 2019/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/25?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14411\", \"logical_representation\": [\"2019/06/25\", \"lunch\", \"a burger\", \"Nora, Claire, Layla, Rylee, Kinsley, Lydia, Avery, Olivia, Nevaeh, Eva, Piper, Hazel\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/06/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14412\", \"logical_representation\": [\"2019/06/25\", \"Layla\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the late afternoon on 2019/06/25?\", \"25 minutes\"], [\"who did I talk to on 2019/06/25?\", \"Layla\"], [\"Did I talk to Layla on 2019/06/25?\", \"yes\"], [\"Did I talk to anyone on 2019/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14413\", \"logical_representation\": [\"2019/06/25\", \"Avery, Eva, Nevaeh, Nora\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I talked to Avery, Eva, Nevaeh, Nora for 46 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Nevaeh, Nora in the morning on 2019/06/25?\", \"46 minutes\"], [\"who did I talk to on 2019/06/25?\", \"Avery, Eva, Nevaeh, Nora\"], [\"Did I talk to Avery, Eva, Nevaeh, Nora on 2019/06/25?\", \"yes\"], [\"Did I talk to anyone on 2019/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14414\", \"logical_representation\": [\"2019/06/25\", \"a movie\", \"44 minutes\"], \"text_template_based\": \"I watched a movie for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/25?\", \"44 minutes\"], [\"what did I watch on tv on 2019/06/25?\", \"a movie\"], [\"Did I watch tv on 2019/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/28\": {\"grocery\": {\"eid\": \"e13701\", \"logical_representation\": [\"2019/06/28\", \"I went grocery shopping. I bought some pineapples, blueberries, coffee, sports drinks, tea, milk, and shampoo, toothbrush, mouthwash, toilet paper\", \"pineapples, blueberries\", \"coffee, sports drinks, tea, milk\", \"shampoo, toothbrush, mouthwash, toilet paper\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some pineapples, blueberries, coffee, sports drinks, tea, milk, and shampoo, toothbrush, mouthwash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/06/28?\", \"pineapples, blueberries, coffee, sports drinks, tea, milk, and shampoo, toothbrush, mouthwash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2019/06/28?\", \"pineapples, blueberries\"], [\"what drinks did I buy from the grocery store on 2019/06/28?\", \"coffee, sports drinks, tea, milk\"], [\"what toiletries did I buy from the grocery store on 2019/06/28?\", \"shampoo, toothbrush, mouthwash, toilet paper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14420\", \"logical_representation\": [\"2019/06/28\", \"breakfast\", \"cereals\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had breakfast with Benjamin, Avery, Willow, Jackson. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/06/28?\", \"Benjamin, Avery, Willow, Jackson\"], [\"what did I eat for breakfast on 2019/06/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14421\", \"logical_representation\": [\"2019/06/28\", \"lunch\", \"tacos\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch with Carter, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/06/28?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2019/06/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14422\", \"logical_representation\": [\"2019/06/28\", \"Claire, Piper\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I talked to Claire, Piper for 7 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper in the early evening on 2019/06/28?\", \"7 minutes\"], [\"who did I talk to on 2019/06/28?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2019/06/28?\", \"yes\"], [\"Did I talk to anyone on 2019/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14423\", \"logical_representation\": [\"2019/06/28\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/06/28?\", \"48 minutes\"], [\"what did I read on 2019/06/28?\", \"social media\"], [\"Did I read on 2019/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/09\": {\"cook\": {\"eid\": \"e13702\", \"logical_representation\": [\"2019/07/09\", \"I was cooking cashew chicken , rigatoni with sausage & peas on 2019/07/09 with Andrew, Kayden, Carter, Emily at my place\", \"cook\", \"cashew chicken , rigatoni with sausage & peas\", \"Andrew, Kayden, Carter, Emily\", \"my place\"], \"text_template_based\": \"I was cooking cashew chicken , rigatoni with sausage & peas on 2019/07/09 with Andrew, Kayden, Carter, Emily at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  cashew chicken , rigatoni with sausage & peas with Andrew, Kayden, Carter, Emily?\", \"2019/07/09\"], [\"what did I  on 2019/07/09?\", \"cashew chicken , rigatoni with sausage & peas\"], [\"who was I with when I  cashew chicken , rigatoni with sausage & peas on 2019/07/09?\", \"Andrew, Kayden, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14462\", \"logical_representation\": [\"2019/07/09\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Kinsley, Lydia, Nevaeh, Nora, Hazel, Piper, Avery\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/07/09\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14463\", \"logical_representation\": [\"2019/07/09\", \"lunch\", \"tacos\", \"Carter, Emily\"], \"text_template_based\": \"I had tacos for lunch with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/07/09?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2019/07/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14464\", \"logical_representation\": [\"2019/07/09\", \"dinner\", \"sandwich\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14465\", \"logical_representation\": [\"2019/07/09\", \"Avery\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Avery for 45 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early afternoon on 2019/07/09?\", \"45 minutes\"], [\"who did I talk to on 2019/07/09?\", \"Avery\"], [\"Did I talk to Avery on 2019/07/09?\", \"yes\"], [\"Did I talk to anyone on 2019/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/12\": {\"cook\": {\"eid\": \"e13703\", \"logical_representation\": [\"2019/07/12\", \"I entertained Emily at my place on 2019/07/12 and cook naan bread, thai green curry paste, asian slaw\", \"cook\", \"naan bread, thai green curry paste, asian slaw\", \"Emily\", \"my place\"], \"text_template_based\": \"I entertained Emily at my place on 2019/07/12 and cook naan bread, thai green curry paste, asian slaw\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook naan bread, thai green curry paste, asian slaw with Emily?\", \"2019/07/12\"], [\"what did I cook on 2019/07/12?\", \"naan bread, thai green curry paste, asian slaw\"], [\"who was I with when I  naan bread, thai green curry paste, asian slaw on 2019/07/12?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14475\", \"logical_representation\": [\"2019/07/12\", \"Avery, Hazel\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Avery, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel late in the evening on 2019/07/12?\", \"25 minutes\"], [\"who did I talk to on 2019/07/12?\", \"Avery, Hazel\"], [\"Did I talk to Avery, Hazel on 2019/07/12?\", \"yes\"], [\"Did I talk to anyone on 2019/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14476\", \"logical_representation\": [\"2019/07/12\", \"Avery, Olivia\", \"late in the evening\", \"54 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia for 54 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia late in the evening on 2019/07/12?\", \"54 minutes\"], [\"who did I talk to on 2019/07/12?\", \"Avery, Olivia\"], [\"Did I talk to Avery, Olivia on 2019/07/12?\", \"yes\"], [\"Did I talk to anyone on 2019/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14477\", \"logical_representation\": [\"2019/07/12\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/12?\", \"13 minutes\"], [\"what did I watch on tv on 2019/07/12?\", \"news\"], [\"Did I watch tv on 2019/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/10\": {\"dating\": {\"eid\": \"e13704\", \"logical_representation\": [\"2019/07/10\", \"Isaac\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Isaac on 2019/07/10 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/07/10\", \"Isaac\"], [\"where did I go for the date on 2019/07/10\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14466\", \"logical_representation\": [\"2019/07/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14467\", \"logical_representation\": [\"2019/07/10\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/07/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14468\", \"logical_representation\": [\"2019/07/10\", \"Avery\", \"in the early evening\", \"8 minutes\"], \"text_template_based\": \"I talked to Avery for 8 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2019/07/10?\", \"8 minutes\"], [\"who did I talk to on 2019/07/10?\", \"Avery\"], [\"Did I talk to Avery on 2019/07/10?\", \"yes\"], [\"Did I talk to anyone on 2019/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14469\", \"logical_representation\": [\"2019/07/10\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/07/10?\", \"20 minutes\"], [\"what did I read on 2019/07/10?\", \"news\"], [\"Did I read on 2019/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/23\": {\"dating\": {\"eid\": \"e13705\", \"logical_representation\": [\"2019/07/23\", \"Greyson\", \"a park\"], \"text_template_based\": \"On 2019/07/23, I took Greyson on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/07/23\", \"Greyson\"], [\"where did I go for the date on 2019/07/23\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14513\", \"logical_representation\": [\"2019/07/23\", \"breakfast\", \"pancakes\", \"Kayden\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/07/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14514\", \"logical_representation\": [\"2019/07/23\", \"dinner\", \"chinese food\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14515\", \"logical_representation\": [\"2019/07/23\", \"Avery, Rylee, Lydia\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Avery, Rylee, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee, Lydia in the late afternoon on 2019/07/23?\", \"9 minutes\"], [\"who did I talk to on 2019/07/23?\", \"Avery, Rylee, Lydia\"], [\"Did I talk to Avery, Rylee, Lydia on 2019/07/23?\", \"yes\"], [\"Did I talk to anyone on 2019/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/27\": {\"hobbies\": {\"eid\": \"e13706\", \"logical_representation\": [\"2019/07/27\", \"I spent time gardening on 2019/07/27 with Eva.\", \"gardening\", \"Eva\"], \"text_template_based\": \"I spent time gardening on 2019/07/27 with Eva.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Eva?\", \"2019/07/27\"], [\"On 2019/07/27, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2019/07/27?\", \"Eva\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14528\", \"logical_representation\": [\"2019/07/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/07/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14529\", \"logical_representation\": [\"2019/07/27\", \"lunch\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14530\", \"logical_representation\": [\"2019/07/27\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/07/27?\", \"25 minutes\"], [\"what did I read on 2019/07/27?\", \"news\"], [\"Did I read on 2019/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14531\", \"logical_representation\": [\"2019/07/27\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/27?\", \"13 minutes\"], [\"what did I watch on tv on 2019/07/27?\", \"a documentary\"], [\"Did I watch tv on 2019/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/24\": {\"grocery\": {\"eid\": \"e13707\", \"logical_representation\": [\"2019/07/24\", \"I went grocery shopping. I bought some bananas, blackberries, guava juice, tea, soda, and mouthwash, toilet paper\", \"bananas, blackberries\", \"guava juice, tea, soda\", \"mouthwash, toilet paper\", \"Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, blackberries, guava juice, tea, soda, and mouthwash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/07/24?\", \"bananas, blackberries, guava juice, tea, soda, and mouthwash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2019/07/24?\", \"bananas, blackberries\"], [\"what drinks did I buy from the grocery store on 2019/07/24?\", \"guava juice, tea, soda\"], [\"what toiletries did I buy from the grocery store on 2019/07/24?\", \"mouthwash, toilet paper\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14516\", \"logical_representation\": [\"2019/07/24\", \"dinner\", \"pasta\", \"Jackson, Willow\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14517\", \"logical_representation\": [\"2019/07/24\", \"Piper, Claire, Eva, Rylee\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Piper, Claire, Eva, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Eva, Rylee late in the evening on 2019/07/24?\", \"13 minutes\"], [\"who did I talk to on 2019/07/24?\", \"Piper, Claire, Eva, Rylee\"], [\"Did I talk to Piper, Claire, Eva, Rylee on 2019/07/24?\", \"yes\"], [\"Did I talk to anyone on 2019/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14518\", \"logical_representation\": [\"2019/07/24\", \"a tv series\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/24?\", \"45 minutes\"], [\"what did I watch on tv on 2019/07/24?\", \"a tv series\"], [\"Did I watch tv on 2019/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/26\": {\"grocery\": {\"eid\": \"e13708\", \"logical_representation\": [\"2019/07/26\", \"I bought some guava, cherres, mangos, nectarines, coffee, shaving cream, mouth wash, toothpaste from the grocery store. I saw Lydia, Eva, Nevaeh, Olivia, Claire, Piper at the grocery store.\", \"guava, cherres, mangos, nectarines\", \"coffee\", \"shaving cream, mouth wash, toothpaste\", \"Lydia, Eva, Nevaeh, Olivia, Claire, Piper\"], \"text_template_based\": \"I bought some guava, cherres, mangos, nectarines, coffee, shaving cream, mouth wash, toothpaste from the grocery store. I saw Lydia, Eva, Nevaeh, Olivia, Claire, Piper at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/07/26?\", \"guava, cherres, mangos, nectarines, coffee, and shaving cream, mouth wash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2019/07/26?\", \"guava, cherres, mangos, nectarines\"], [\"what drinks did I buy from the grocery store on 2019/07/26?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2019/07/26?\", \"shaving cream, mouth wash, toothpaste\"], [\"who did I see at the grocery store on 2019/07/26?\", \"Lydia, Eva, Nevaeh, Olivia, Claire, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14522\", \"logical_representation\": [\"2019/07/26\", \"running\"], \"text_template_based\": \"I did running on 2019/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14523\", \"logical_representation\": [\"2019/07/26\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/07/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14524\", \"logical_representation\": [\"2019/07/26\", \"lunch\", \"steak\", \"Rylee, Lydia, Olivia, Avery, Layla, Nora, Kinsley, Piper, Eva, Hazel\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14525\", \"logical_representation\": [\"2019/07/26\", \"dinner\", \"indian food\", \"Andrew, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/07/26?\", \"Andrew, Carter\"], [\"what did I eat for dinner on 2019/07/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14526\", \"logical_representation\": [\"2019/07/26\", \"Kinsley\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2019/07/26?\", \"22 minutes\"], [\"who did I talk to on 2019/07/26?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2019/07/26?\", \"yes\"], [\"Did I talk to anyone on 2019/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14527\", \"logical_representation\": [\"2019/07/26\", \"news\", \"23 minutes\"], \"text_template_based\": \"I watched news for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/26?\", \"23 minutes\"], [\"what did I watch on tv on 2019/07/26?\", \"news\"], [\"Did I watch tv on 2019/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/02\": {\"cook\": {\"eid\": \"e13709\", \"logical_representation\": [\"2019/08/02\", \"I was cooking ground turkey vegetable soup, general tso\\u2019s chicken, contest-winning broccoli chicken casserole on 2019/08/02 with Layla, Nevaeh, Kinsley at my place\", \"cook\", \"ground turkey vegetable soup, general tso\\u2019s chicken, contest-winning broccoli chicken casserole\", \"Layla, Nevaeh, Kinsley\", \"my place\"], \"text_template_based\": \"I was cooking ground turkey vegetable soup, general tso\\u2019s chicken, contest-winning broccoli chicken casserole on 2019/08/02 with Layla, Nevaeh, Kinsley at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  ground turkey vegetable soup, general tso\\u2019s chicken, contest-winning broccoli chicken casserole with Layla, Nevaeh, Kinsley?\", \"2019/08/02\"], [\"what did I  on 2019/08/02?\", \"ground turkey vegetable soup, general tso\\u2019s chicken, contest-winning broccoli chicken casserole\"], [\"who was I with when I  ground turkey vegetable soup, general tso\\u2019s chicken, contest-winning broccoli chicken casserole on 2019/08/02?\", \"Layla, Nevaeh, Kinsley\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e13711\", \"logical_representation\": [\"2019/08/02\", \"I bought some oranges, guava juice, toothpaste, mouthwash, toilet paper from the grocery store. I saw Rylee, Nora, Olivia, Piper, Claire, Layla, Kinsley, Eva, Nevaeh, Lydia, Avery, Hazel, Piper at the grocery store.\", \"oranges\", \"guava juice\", \"toothpaste, mouthwash, toilet paper\", \"Rylee, Nora, Olivia, Piper, Claire, Layla, Kinsley, Eva, Nevaeh, Lydia, Avery, Hazel, Piper\"], \"text_template_based\": \"I bought some oranges, guava juice, toothpaste, mouthwash, toilet paper from the grocery store. 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\"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/08/10?\", \"50 minutes\"], [\"what did I read on 2019/08/10?\", \"a book\"], [\"Did I read on 2019/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/08\": {\"dating\": {\"eid\": \"e13713\", \"logical_representation\": [\"2019/08/08\", \"Riley\", \"a park\"], \"text_template_based\": \"On 2019/08/08, I took Riley on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/08/08\", \"Riley\"], [\"where did I go for the date on 2019/08/08\", \"a park\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14571\", \"logical_representation\": [\"2019/08/08\", \"Piper\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Piper on various topics in the early evening.\", \"text_model_based\": 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\"e14594\", \"logical_representation\": [\"2019/08/13\", \"Rylee\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2019/08/13?\", \"53 minutes\"], [\"who did I talk to on 2019/08/13?\", \"Rylee\"], [\"Did I talk to Rylee on 2019/08/13?\", \"yes\"], [\"Did I talk to anyone on 2019/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14595\", \"logical_representation\": [\"2019/08/13\", \"Kinsley, Layla, Piper\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Kinsley, Layla, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Piper in the early afternoon on 2019/08/13?\", \"19 minutes\"], [\"who did I talk to on 2019/08/13?\", \"Kinsley, 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\"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e13721\", \"logical_representation\": [\"2019/08/17\", \"I spent some time learning a language on 2019/08/17.\", \"learning a language\", \"Jackson\"], \"text_template_based\": \"I spent some time learning a language on 2019/08/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2019/08/17\"], [\"On 2019/08/17, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14607\", \"logical_representation\": [\"2019/08/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/08/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14608\", \"logical_representation\": [\"2019/08/17\", \"lunch\", \"tacos\", \"Lydia, Layla, Avery, Claire, Nevaeh, Olivia, Piper, Rylee, Kinsley\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/08/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14609\", \"logical_representation\": [\"2019/08/17\", \"dinner\", \"a burger\", \"Olivia\"], \"text_template_based\": \"I had dinner with Olivia. 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I saw Carter at the grocery store.\", \"pineapples, mangos, peaches\", \"mineral water, coffee, chocolate milk\", \"mouthwash, shampoo, toothpaste\", \"Carter\"], \"text_template_based\": \"I bought some pineapples, mangos, peaches, mineral water, coffee, chocolate milk, mouthwash, shampoo, toothpaste from the grocery store. I saw Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/08/19?\", \"pineapples, mangos, peaches, mineral water, coffee, chocolate milk, and mouthwash, shampoo, toothpaste\"], [\"what fruits did I buy from the grocery store on 2019/08/19?\", \"pineapples, mangos, peaches\"], [\"what drinks did I buy from the grocery store on 2019/08/19?\", \"mineral water, coffee, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2019/08/19?\", \"mouthwash, shampoo, toothpaste\"], [\"who did I see at the grocery store on 2019/08/19?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14617\", \"logical_representation\": [\"2019/08/19\", \"running\"], \"text_template_based\": \"I did running on 2019/08/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14618\", \"logical_representation\": [\"2019/08/19\", \"breakfast\", \"cereals\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had cereals for breakfast with Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/08/19?\", \"Andrew, Emily, Carter\"], [\"what did I eat for breakfast on 2019/08/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14619\", \"logical_representation\": [\"2019/08/19\", \"lunch\", \"tacos\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/08/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14620\", \"logical_representation\": [\"2019/08/19\", \"dinner\", \"indian food\", \"Lydia, Avery, Rylee, Claire, Hazel\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/08/19\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14621\", \"logical_representation\": [\"2019/08/19\", \"Layla, Olivia\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Layla, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia late in the evening on 2019/08/19?\", \"26 minutes\"], [\"who did I talk to on 2019/08/19?\", \"Layla, Olivia\"], [\"Did I talk to Layla, Olivia on 2019/08/19?\", \"yes\"], [\"Did I talk to anyone on 2019/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14622\", \"logical_representation\": [\"2019/08/19\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/08/19?\", \"24 minutes\"], [\"what did I read on 2019/08/19?\", \"social media\"], [\"Did I read on 2019/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14623\", \"logical_representation\": [\"2019/08/19\", \"news\", \"32 minutes\"], \"text_template_based\": \"I watched news for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/08/19?\", \"32 minutes\"], [\"what did I watch on tv on 2019/08/19?\", \"news\"], [\"Did I watch tv on 2019/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/22\": {\"dating\": {\"eid\": \"e13723\", \"logical_representation\": [\"2019/08/22\", \"Matthew\", \"a park\"], \"text_template_based\": \"I went on a date with Matthew on 2019/08/22 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/08/22\", \"Matthew\"], [\"where did I go for the date on 2019/08/22\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14631\", \"logical_representation\": [\"2019/08/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/08/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14632\", \"logical_representation\": [\"2019/08/22\", \"Claire, Piper, Piper\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Claire, Piper, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Piper late in the evening on 2019/08/22?\", \"13 minutes\"], [\"who did I talk to on 2019/08/22?\", \"Claire, Piper, Piper\"], [\"Did I talk to Claire, Piper, Piper on 2019/08/22?\", \"yes\"], [\"Did I talk to anyone on 2019/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/26\": {\"dating\": {\"eid\": \"e13724\", \"logical_representation\": [\"2019/08/26\", \"Lincoln\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Lincoln on 2019/08/26 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/08/26\", \"Lincoln\"], [\"where did I go for the date on 2019/08/26\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14643\", \"logical_representation\": [\"2019/08/26\", \"lunch\", \"steak\", \"Kayden, Emily\"], \"text_template_based\": \"I had steak for lunch with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/08/26?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2019/08/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14644\", \"logical_representation\": [\"2019/08/26\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/08/26?\", \"38 minutes\"], [\"what did I read on 2019/08/26?\", \"a book\"], [\"Did I read on 2019/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/20\": {\"grocery\": {\"eid\": \"e13725\", \"logical_representation\": [\"2019/08/20\", \"I bought some clementines, apricots, chocolate milk, shaving cream, mouthwash, toothpaste online.\", \"clementines, apricots\", \"chocolate milk\", \"shaving cream, mouthwash, toothpaste\", \"Carter, Andrew\"], \"text_template_based\": \"I bought some clementines, apricots, chocolate milk, shaving cream, mouthwash, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/08/20?\", \"clementines, apricots, chocolate milk, and shaving cream, mouthwash, toothpaste\"], [\"what fruits did I buy online on 2019/08/20?\", \"clementines, apricots\"], [\"what drinks did I buy online on 2019/08/20?\", \"chocolate milk\"], [\"what toiletries did I buy online on 2019/08/20?\", \"shaving cream, mouthwash, toothpaste\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14624\", \"logical_representation\": [\"2019/08/20\", \"breakfast\", \"pancakes\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/08/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14625\", \"logical_representation\": [\"2019/08/20\", \"dinner\", \"steak\", \"Piper, Nevaeh, Avery, Lydia, Kinsley, Olivia, Hazel, Claire\"], \"text_template_based\": \"I had steak for dinner with Piper, Nevaeh, Avery, Lydia, Kinsley, Olivia, Hazel, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/08/20?\", \"Piper, Nevaeh, Avery, Lydia, Kinsley, Olivia, Hazel, Claire\"], [\"what did I eat for dinner on 2019/08/20\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14626\", \"logical_representation\": [\"2019/08/20\", \"Kinsley\", \"during lunch hours\", \"22 minutes\"], \"text_template_based\": \"I talked to Kinsley for 22 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2019/08/20?\", \"22 minutes\"], [\"who did I talk to on 2019/08/20?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2019/08/20?\", \"yes\"], [\"Did I talk to anyone on 2019/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14627\", \"logical_representation\": [\"2019/08/20\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/08/20?\", \"22 minutes\"], [\"what did I read on 2019/08/20?\", \"a book\"], [\"Did I read on 2019/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/29\": {\"dating\": {\"eid\": \"e13726\", \"logical_representation\": [\"2019/08/29\", \"Lambert\", \"a restaurant\"], \"text_template_based\": \"On 2019/08/29, I took Lambert on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/08/29\", \"Lambert\"], [\"where did I go for the date on 2019/08/29\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14652\", \"logical_representation\": [\"2019/08/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/08/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14653\", \"logical_representation\": [\"2019/08/29\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/08/29\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14654\", \"logical_representation\": [\"2019/08/29\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/08/29?\", \"37 minutes\"], [\"what did I read on 2019/08/29?\", \"news\"], [\"Did I read on 2019/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/28\": {\"hobbies\": {\"eid\": \"e13727\", \"logical_representation\": [\"2019/08/28\", \"I spent some time gardening on 2019/08/28.\", \"gardening\", \"Emily, Andrew\"], \"text_template_based\": \"I spent some time gardening on 2019/08/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2019/08/28\"], [\"On 2019/08/28, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14648\", \"logical_representation\": [\"2019/08/28\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/08/28?\", \"Carter\"], [\"what did I eat for breakfast on 2019/08/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14649\", \"logical_representation\": [\"2019/08/28\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had a burger for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/08/28?\", \"Emily\"], [\"what did I eat for lunch on 2019/08/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14650\", \"logical_representation\": [\"2019/08/28\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/08/28?\", \"25 minutes\"], [\"what did I read on 2019/08/28?\", \"social media\"], [\"Did I read on 2019/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14651\", \"logical_representation\": [\"2019/08/28\", \"news\", \"24 minutes\"], \"text_template_based\": \"I watched news for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/08/28?\", \"24 minutes\"], [\"what did I watch on tv on 2019/08/28?\", \"news\"], [\"Did I watch tv on 2019/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/01\": {\"grocery\": {\"eid\": \"e13728\", \"logical_representation\": [\"2019/09/01\", \"I went grocery shopping. I bought some raspberries, pineapple juice, milk, mango juice, and mouth wash, body lotion\", \"raspberries\", \"pineapple juice, milk, mango juice\", \"mouth wash, body lotion\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, pineapple juice, milk, mango juice, and mouth wash, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/09/01?\", \"raspberries, pineapple juice, milk, mango juice, and mouth wash, body lotion\"], [\"what fruits did I buy from the grocery store on 2019/09/01?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2019/09/01?\", \"pineapple juice, milk, mango juice\"], [\"what toiletries did I buy from the grocery store on 2019/09/01?\", \"mouth wash, body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14663\", \"logical_representation\": [\"2019/09/01\", \"running\"], \"text_template_based\": \"I did running on 2019/09/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/09/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14664\", \"logical_representation\": [\"2019/09/01\", \"breakfast\", \"oatmeal\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had oatmeal for breakfast with Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/09/01?\", \"Kayden, Emily, Carter\"], [\"what did I eat for breakfast on 2019/09/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14665\", \"logical_representation\": [\"2019/09/01\", \"lunch\", \"steak\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/09/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14666\", \"logical_representation\": [\"2019/09/01\", \"dinner\", \"steak\", \"Benjamin\"], \"text_template_based\": \"I had steak for dinner with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/09/01?\", \"Benjamin\"], [\"what did I eat for dinner on 2019/09/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14667\", \"logical_representation\": [\"2019/09/01\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I watched a movie for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/01?\", \"32 minutes\"], [\"what did I watch on tv on 2019/09/01?\", \"a movie\"], [\"Did I watch tv on 2019/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/06\": {\"hobbies\": {\"eid\": \"e13729\", \"logical_representation\": [\"2019/09/06\", \"I spent some time learning a language on 2019/09/06.\", \"learning a language\", \"Rylee, Claire, Lydia\"], \"text_template_based\": \"I spent some time learning a language on 2019/09/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2019/09/06\"], [\"On 2019/09/06, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14684\", \"logical_representation\": [\"2019/09/06\", \"breakfast\", \"cereals\", \"Nevaeh, Eva, Piper, Claire, Nora, Kinsley, Hazel, Lydia, Layla, Piper, Rylee\"], \"text_template_based\": \"I had cereals for breakfast with Nevaeh, Eva, Piper, Claire, Nora, Kinsley, Hazel, Lydia, Layla, Piper, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/09/06?\", \"Nevaeh, Eva, Piper, Claire, Nora, Kinsley, Hazel, Lydia, Layla, Piper, Rylee\"], [\"what did I eat for breakfast on 2019/09/06\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14685\", \"logical_representation\": [\"2019/09/06\", \"Lydia, Hazel, Piper\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Lydia, Hazel, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Piper 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I saw Andrew, Emily at the grocery store.\", \"guava\", \"milk, sports drinks, chocolate milk, mineral water\", \"mouthwash, mouth wash\", \"Andrew, Emily\"], \"text_template_based\": \"I bought some guava, milk, sports drinks, chocolate milk, mineral water, mouthwash, mouth wash from the grocery store. I saw Andrew, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/09/08?\", \"guava, milk, sports drinks, chocolate milk, mineral water, and mouthwash, mouth wash\"], [\"what fruits did I buy from the grocery store on 2019/09/08?\", \"guava\"], [\"what drinks did I buy from the grocery store on 2019/09/08?\", \"milk, sports drinks, chocolate milk, mineral water\"], [\"what toiletries did I buy from the grocery store on 2019/09/08?\", \"mouthwash, mouth wash\"], [\"who did I see at the grocery store on 2019/09/08?\", \"Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14691\", \"logical_representation\": [\"2019/09/08\", \"breakfast\", \"pancakes\", \"Jackson\"], \"text_template_based\": \"I had breakfast with Jackson. 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I bought some peaches, cherres, apple juice, soda, and toothpaste\", \"peaches, cherres\", \"apple juice, soda\", \"toothpaste\", \"Jackson, Avery\"], \"text_template_based\": \"I went grocery shopping with Jackson, Avery. I bought some peaches, cherres, apple juice, soda, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/09/14?\", \"peaches, cherres, apple juice, soda, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2019/09/14?\", \"peaches, cherres\"], [\"what drinks did I buy from the grocery store on 2019/09/14?\", \"apple juice, soda\"], [\"what toiletries did I buy from the grocery store on 2019/09/14?\", \"toothpaste\"], [\"who was with me at the grocery store on 2019/09/14?\", \"Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14711\", \"logical_representation\": [\"2019/09/14\", \"breakfast\", \"pancakes\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Emily, Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/09/14?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2019/09/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14712\", \"logical_representation\": [\"2019/09/14\", \"Nevaeh\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the late afternoon on 2019/09/14?\", \"32 minutes\"], [\"who did I talk to on 2019/09/14?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2019/09/14?\", \"yes\"], [\"Did I talk to anyone on 2019/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14713\", \"logical_representation\": [\"2019/09/14\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/09/14?\", \"13 minutes\"], [\"what did I read on 2019/09/14?\", \"news\"], [\"Did I read on 2019/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/24\": {\"hobbies\": {\"eid\": \"e13733\", \"logical_representation\": [\"2019/09/24\", \"I spent some time yoga on 2019/09/24.\", \"yoga\", \"Andrew\"], \"text_template_based\": \"I spent some time yoga on 2019/09/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2019/09/24\"], [\"On 2019/09/24, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e13734\", \"logical_representation\": [\"2019/09/24\", \"I bought some strawberries, blueberries, cherres, mineral water, toilet paper, toothbrush, mouthwash from the grocery store. I saw Carter, Emily, Kayden at the grocery store.\", \"strawberries, blueberries, cherres\", \"mineral water\", \"toilet paper, toothbrush, mouthwash\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I bought some strawberries, blueberries, cherres, mineral water, toilet paper, toothbrush, mouthwash from the grocery store. 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I saw Andrew at the grocery store.\", \"watermelons\", \"sports drinks, orange juice, mineral water, mango juice\", \"shampoo\", \"Andrew\"], \"text_template_based\": \"I bought some watermelons, sports drinks, orange juice, mineral water, mango juice, shampoo from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/10/02?\", \"watermelons, sports drinks, orange juice, mineral water, mango juice, and shampoo\"], [\"what fruits did I buy from the grocery store on 2019/10/02?\", \"watermelons\"], [\"what drinks did I buy from the grocery store on 2019/10/02?\", \"sports drinks, orange juice, mineral water, mango juice\"], [\"what toiletries did I buy from the grocery store on 2019/10/02?\", \"shampoo\"], [\"who did I see at the grocery store on 2019/10/02?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14774\", \"logical_representation\": [\"2019/10/02\", \"dinner\", \"a burger\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/10/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14775\", \"logical_representation\": [\"2019/10/02\", \"Piper, Kinsley\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley for 9 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley in the morning on 2019/10/02?\", \"9 minutes\"], [\"who did I talk to on 2019/10/02?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2019/10/02?\", \"yes\"], [\"Did I talk to anyone on 2019/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14776\", \"logical_representation\": [\"2019/10/02\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/10/02?\", \"19 minutes\"], [\"what did I read on 2019/10/02?\", \"a book\"], [\"Did I read on 2019/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/06\": {\"grocery\": {\"eid\": \"e13738\", \"logical_representation\": [\"2019/10/06\", \"I bought some apricots, strawberries, raspberries, chocolate milk, sports drinks, toothpaste, shampoo from the grocery store. I saw Jackson, Avery, Willow at the grocery store.\", \"apricots, strawberries, raspberries\", \"chocolate milk, sports drinks\", \"toothpaste, shampoo\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I bought some apricots, strawberries, raspberries, chocolate milk, sports drinks, toothpaste, shampoo from the grocery store. I saw Jackson, Avery, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/10/06?\", \"apricots, strawberries, raspberries, chocolate milk, sports drinks, and toothpaste, shampoo\"], [\"what fruits did I buy from the grocery store on 2019/10/06?\", \"apricots, strawberries, raspberries\"], [\"what drinks did I buy from the grocery store on 2019/10/06?\", \"chocolate milk, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2019/10/06?\", \"toothpaste, shampoo\"], [\"who did I see at the grocery store on 2019/10/06?\", \"Jackson, Avery, Willow\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14787\", \"logical_representation\": [\"2019/10/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee, Kinsley, Lydia, Layla, Claire, Eva, Nevaeh, Olivia, Nora, Hazel\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/10/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14788\", \"logical_representation\": [\"2019/10/06\", \"dinner\", \"a burger\", \"Kinsley, Nora, Lydia\"], \"text_template_based\": \"I had dinner with Kinsley, Nora, Lydia. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/10/06?\", \"Kinsley, Nora, Lydia\"], [\"what did I eat for dinner on 2019/10/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14789\", \"logical_representation\": [\"2019/10/06\", \"Olivia\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the morning on 2019/10/06?\", \"37 minutes\"], [\"who did I talk to on 2019/10/06?\", \"Olivia\"], [\"Did I talk to Olivia on 2019/10/06?\", \"yes\"], [\"Did I talk to anyone on 2019/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/14\": {\"hobbies\": {\"eid\": \"e13739\", \"logical_representation\": [\"2019/10/14\", \"I spent time gardening on 2019/10/14 with Jackson, Willow.\", \"gardening\", \"Jackson, Willow\"], \"text_template_based\": \"I spent time gardening on 2019/10/14 with Jackson, Willow.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Jackson, Willow?\", \"2019/10/14\"], [\"On 2019/10/14, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2019/10/14?\", \"Jackson, Willow\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14823\", \"logical_representation\": [\"2019/10/14\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/10/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14824\", \"logical_representation\": [\"2019/10/14\", \"lunch\", \"tacos\", \"Piper, Piper, Layla, Eva, Nora\"], \"text_template_based\": \"I had lunch with Piper, Piper, Layla, Eva, Nora. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/10/14?\", \"Piper, Piper, Layla, Eva, Nora\"], [\"what did I eat for lunch on 2019/10/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14825\", \"logical_representation\": [\"2019/10/14\", \"Piper, Olivia, Eva, Lydia\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia, Eva, Lydia for 6 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Eva, Lydia late in the evening on 2019/10/14?\", \"6 minutes\"], [\"who did I talk to on 2019/10/14?\", \"Piper, Olivia, Eva, Lydia\"], [\"Did I talk to Piper, Olivia, Eva, Lydia on 2019/10/14?\", \"yes\"], [\"Did I talk to anyone on 2019/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/08\": {\"grocery\": {\"eid\": \"e13740\", \"logical_representation\": [\"2019/10/08\", \"I bought some peaches, bananas, oranges, apples, tea, mouthwash, mouth wash, toothbrush, toothpaste from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\", \"peaches, bananas, oranges, apples\", \"tea\", \"mouthwash, mouth wash, toothbrush, toothpaste\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I bought some peaches, bananas, oranges, apples, tea, mouthwash, mouth wash, toothbrush, toothpaste from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/10/08?\", \"peaches, bananas, oranges, apples, tea, and mouthwash, mouth wash, toothbrush, toothpaste\"], [\"what fruits did I buy from the grocery store on 2019/10/08?\", \"peaches, bananas, oranges, apples\"], [\"what drinks did I buy from the grocery store on 2019/10/08?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2019/10/08?\", \"mouthwash, mouth wash, toothbrush, toothpaste\"], [\"who did I see at the grocery store on 2019/10/08?\", \"Kayden, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14795\", \"logical_representation\": [\"2019/10/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/10/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14796\", \"logical_representation\": [\"2019/10/08\", \"breakfast\", \"toast and cheese\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/10/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14797\", \"logical_representation\": [\"2019/10/08\", \"lunch\", \"pasta\", \"Jackson\"], \"text_template_based\": \"I had pasta for lunch with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/10/08?\", \"Jackson\"], [\"what did I eat for lunch on 2019/10/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14798\", \"logical_representation\": [\"2019/10/08\", \"dinner\", \"tacos\", \"Layla, Rylee, Hazel, Kinsley, Olivia, Nevaeh, Claire, Piper\"], \"text_template_based\": \"I had tacos for dinner with Layla, Rylee, Hazel, Kinsley, Olivia, Nevaeh, Claire, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/10/08?\", \"Layla, Rylee, Hazel, Kinsley, Olivia, Nevaeh, Claire, Piper\"], [\"what did I eat for dinner on 2019/10/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14799\", \"logical_representation\": [\"2019/10/08\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/10/08?\", \"20 minutes\"], [\"what did I read on 2019/10/08?\", \"news\"], [\"Did I read on 2019/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14800\", \"logical_representation\": [\"2019/10/08\", \"news\", \"38 minutes\"], \"text_template_based\": \"I watched news for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/08?\", \"38 minutes\"], [\"what did I watch on tv on 2019/10/08?\", \"news\"], [\"Did I watch tv on 2019/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/13\": {\"grocery\": {\"eid\": \"e13741\", \"logical_representation\": [\"2019/10/13\", \"I went grocery shopping with Layla, Nevaeh, Olivia, Kinsley, Rylee, Claire, Piper, Avery, Piper, Eva. I bought some bananas, mango juice, pineapple juice, and conditioner, toothbrush, toilet paper, paper towel\", \"bananas\", \"mango juice, pineapple juice\", \"conditioner, toothbrush, toilet paper, paper towel\", \"Layla, Nevaeh, Olivia, Kinsley, Rylee, Claire, Piper, Avery, Piper, Eva\"], \"text_template_based\": \"I went grocery shopping with Layla, Nevaeh, Olivia, Kinsley, Rylee, Claire, Piper, Avery, Piper, Eva. I bought some bananas, mango juice, pineapple juice, and conditioner, toothbrush, toilet paper, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/10/13?\", \"bananas, mango juice, pineapple juice, and conditioner, toothbrush, toilet paper, paper towel\"], [\"what fruits did I buy from the grocery store on 2019/10/13?\", \"bananas\"], [\"what drinks did I buy from the grocery store on 2019/10/13?\", \"mango juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2019/10/13?\", \"conditioner, toothbrush, toilet paper, paper towel\"], [\"who was with me at the grocery store on 2019/10/13?\", \"Layla, Nevaeh, Olivia, Kinsley, Rylee, Claire, Piper, Avery, Piper, Eva\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14817\", \"logical_representation\": [\"2019/10/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/10/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14818\", \"logical_representation\": [\"2019/10/13\", \"lunch\", \"indian food\", \"Benjamin\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14819\", \"logical_representation\": [\"2019/10/13\", \"dinner\", \"chinese food\", \"Avery\"], \"text_template_based\": \"I had chinese food for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/10/13?\", \"Avery\"], [\"what did I eat for dinner on 2019/10/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14820\", \"logical_representation\": [\"2019/10/13\", \"Piper, Rylee, Lydia, Eva\", \"in the early evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Piper, Rylee, Lydia, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Lydia, Eva in the early evening on 2019/10/13?\", \"21 minutes\"], [\"who did I talk to on 2019/10/13?\", \"Piper, Rylee, Lydia, Eva\"], [\"Did I talk to Piper, Rylee, Lydia, Eva on 2019/10/13?\", \"yes\"], [\"Did I talk to anyone on 2019/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14821\", \"logical_representation\": [\"2019/10/13\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/10/13?\", \"13 minutes\"], [\"what did I read on 2019/10/13?\", \"news\"], [\"Did I read on 2019/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14822\", \"logical_representation\": [\"2019/10/13\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/13?\", \"13 minutes\"], [\"what did I watch on tv on 2019/10/13?\", \"a documentary\"], [\"Did I watch tv on 2019/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/18\": {\"hobbies\": {\"eid\": \"e13742\", \"logical_representation\": [\"2019/10/18\", \"I spent time gardening on 2019/10/18 with Emily, Andrew, Kayden.\", \"gardening\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I spent time gardening on 2019/10/18 with Emily, Andrew, Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Emily, Andrew, Kayden?\", \"2019/10/18\"], [\"On 2019/10/18, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when 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early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh in the early afternoon on 2019/10/18?\", \"10 minutes\"], [\"who did I talk to on 2019/10/18?\", \"Claire, Nevaeh\"], [\"Did I talk to Claire, Nevaeh on 2019/10/18?\", \"yes\"], [\"Did I talk to anyone on 2019/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14839\", \"logical_representation\": [\"2019/10/18\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/10/18?\", \"44 minutes\"], [\"what did I read on 2019/10/18?\", \"a book\"], [\"Did I read on 2019/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/25\": {\"dating\": {\"eid\": \"e13743\", \"logical_representation\": [\"2019/10/25\", \"Josephine\", \"a boba shop\"], \"text_template_based\": \"On 2019/10/25, I took Josephine on a date to a 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Rylee, Kinsley, Layla\"], [\"what did I eat for dinner on 2019/10/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14865\", \"logical_representation\": [\"2019/10/25\", \"Claire, Nevaeh\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Claire, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh late in the evening on 2019/10/25?\", \"12 minutes\"], [\"who did I talk to on 2019/10/25?\", \"Claire, Nevaeh\"], [\"Did I talk to Claire, Nevaeh on 2019/10/25?\", \"yes\"], [\"Did I talk to anyone on 2019/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/01\": {\"hobbies\": {\"eid\": \"e13744\", \"logical_representation\": [\"2019/11/01\", \"I really enjoyed meditation on 2019/11/01\", \"meditation\", \"Claire, Kinsley\"], \"text_template_based\": \"I really enjoyed meditation on 2019/11/01\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2019/11/01\"], [\"On 2019/11/01, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14893\", \"logical_representation\": [\"2019/11/01\", \"Lydia, Olivia\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia for 40 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia in the late afternoon on 2019/11/01?\", \"40 minutes\"], [\"who did I talk to on 2019/11/01?\", \"Lydia, Olivia\"], [\"Did I talk to Lydia, Olivia on 2019/11/01?\", \"yes\"], [\"Did I talk to anyone on 2019/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14894\", \"logical_representation\": [\"2019/11/01\", \"a documentary\", \"41 minutes\"], \"text_template_based\": \"I watched a documentary for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/01?\", \"41 minutes\"], [\"what did I watch on tv on 2019/11/01?\", \"a documentary\"], [\"Did I watch tv on 2019/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/04\": {\"grocery\": {\"eid\": \"e13745\", \"logical_representation\": [\"2019/11/04\", \"I bought some blueberries, apricots, pears, peaches, mineral water, coffee, facial wash online.\", \"blueberries, apricots, pears, peaches\", \"mineral water, coffee\", \"facial wash\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I bought some blueberries, apricots, pears, peaches, mineral water, coffee, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/11/04?\", \"blueberries, apricots, pears, peaches, mineral water, coffee, and facial wash\"], [\"what fruits did I buy online on 2019/11/04?\", \"blueberries, apricots, pears, peaches\"], [\"what drinks did I buy online on 2019/11/04?\", \"mineral water, coffee\"], [\"what toiletries did I buy online on 2019/11/04?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14901\", \"logical_representation\": [\"2019/11/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/11/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/11/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14902\", \"logical_representation\": [\"2019/11/04\", \"breakfast\", \"peanut-butter-jam\", \"Hazel, Piper, Rylee, Layla, Piper, Avery, Nora\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14903\", \"logical_representation\": [\"2019/11/04\", \"Nora\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I talked to Nora for 27 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2019/11/04?\", \"27 minutes\"], [\"who did I talk to on 2019/11/04?\", \"Nora\"], [\"Did I talk to Nora on 2019/11/04?\", \"yes\"], [\"Did I talk to anyone on 2019/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14904\", \"logical_representation\": [\"2019/11/04\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/04?\", \"12 minutes\"], [\"what did I watch on tv on 2019/11/04?\", \"news\"], [\"Did I watch tv on 2019/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/23\": {\"bake\": {\"eid\": \"e13746\", \"logical_representation\": [\"2019/11/23\", \"I was baking carrot cake, brownies on 2019/11/23 with Avery, Jackson, Willow at my place\", \"bake\", \"carrot cake, brownies\", \"Avery, Jackson, Willow\", \"my place\"], \"text_template_based\": \"I was baking carrot cake, brownies on 2019/11/23 with Avery, Jackson, Willow at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  carrot cake, brownies with Avery, Jackson, Willow?\", \"2019/11/23\"], [\"what did I  on 2019/11/23?\", \"carrot cake, brownies\"], [\"who was I with when I  carrot cake, brownies on 2019/11/23?\", \"Avery, Jackson, Willow\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e13747\", \"logical_representation\": [\"2019/11/23\", \"Leah\", \"a park\"], \"text_template_based\": \"I went on a date with Leah on 2019/11/23 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/11/23\", \"Leah\"], [\"where did I go for the date on 2019/11/23\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14962\", \"logical_representation\": [\"2019/11/23\", \"breakfast\", \"pancakes\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/11/23?\", \"Kayden\"], [\"what did I eat for breakfast on 2019/11/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14963\", \"logical_representation\": [\"2019/11/23\", \"lunch\", \"sandwich\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/11/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14964\", \"logical_representation\": [\"2019/11/23\", \"dinner\", \"a burger\", \"Hazel, Claire, Avery, Kinsley, Olivia\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14965\", \"logical_representation\": [\"2019/11/23\", \"Eva, Claire\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I talked to Eva, Claire for 47 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire in the morning on 2019/11/23?\", \"47 minutes\"], [\"who did I talk to on 2019/11/23?\", \"Eva, Claire\"], [\"Did I talk to Eva, Claire on 2019/11/23?\", \"yes\"], [\"Did I talk to anyone on 2019/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14966\", \"logical_representation\": [\"2019/11/23\", \"Olivia\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I talked to Olivia for 15 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the morning on 2019/11/23?\", \"15 minutes\"], [\"who did I talk to on 2019/11/23?\", \"Olivia\"], [\"Did I talk to Olivia on 2019/11/23?\", \"yes\"], [\"Did I talk to anyone on 2019/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14967\", \"logical_representation\": [\"2019/11/23\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/11/23?\", \"34 minutes\"], [\"what did I read on 2019/11/23?\", \"a book\"], [\"Did I read on 2019/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14968\", \"logical_representation\": [\"2019/11/23\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I watched a documentary for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/23?\", \"20 minutes\"], [\"what did I watch on tv on 2019/11/23?\", \"a documentary\"], [\"Did I watch tv on 2019/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/22\": {\"grocery\": {\"eid\": \"e13748\", \"logical_representation\": [\"2019/11/22\", \"I bought some clementines, apples, chocolate milk, soda, pineapple juice, sports drinks, shaving cream from the grocery store. I saw Kayden, Andrew at the grocery store.\", \"clementines, apples\", \"chocolate milk, soda, pineapple juice, sports drinks\", \"shaving cream\", \"Kayden, Andrew\"], \"text_template_based\": \"I bought some clementines, apples, chocolate milk, soda, pineapple juice, sports drinks, shaving cream from the grocery store. I saw Kayden, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/11/22?\", \"clementines, apples, chocolate milk, soda, pineapple juice, sports drinks, and shaving cream\"], [\"what fruits did I buy from the grocery store on 2019/11/22?\", \"clementines, apples\"], [\"what drinks did I buy from the grocery store on 2019/11/22?\", \"chocolate milk, soda, pineapple juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2019/11/22?\", \"shaving cream\"], [\"who did I see at the grocery store on 2019/11/22?\", \"Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e14959\", \"logical_representation\": [\"2019/11/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/11/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/11/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14960\", \"logical_representation\": [\"2019/11/22\", \"lunch\", \"indian food\", \"Eva\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/11/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14961\", \"logical_representation\": [\"2019/11/22\", \"dinner\", \"sandwich\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had sandwich for dinner with Kayden, Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/11/22?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2019/11/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2019/11/26\": {\"dating\": {\"eid\": \"e13749\", \"logical_representation\": [\"2019/11/26\", \"Everleigh\", \"a park\"], \"text_template_based\": \"On 2019/11/26, I took Everleigh on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/11/26\", \"Everleigh\"], [\"where did I go for the date on 2019/11/26\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14977\", \"logical_representation\": [\"2019/11/26\", \"breakfast\", \"peanut-butter-jam\", \"Avery\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14978\", \"logical_representation\": [\"2019/11/26\", \"dinner\", \"a burger\", \"Avery\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14979\", \"logical_representation\": [\"2019/11/26\", \"Piper, Avery, Claire, Lydia\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Piper, Avery, Claire, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Claire, Lydia during lunch hours on 2019/11/26?\", \"26 minutes\"], [\"who did I talk to on 2019/11/26?\", \"Piper, Avery, Claire, Lydia\"], [\"Did I talk to Piper, Avery, Claire, Lydia on 2019/11/26?\", \"yes\"], [\"Did I talk to anyone on 2019/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14980\", \"logical_representation\": [\"2019/11/26\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/11/26?\", \"26 minutes\"], [\"what did I read on 2019/11/26?\", \"news\"], [\"Did I read on 2019/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/01\": {\"hobbies\": {\"eid\": \"e13750\", \"logical_representation\": [\"2019/12/01\", \"I spent some time learning a language on 2019/12/01.\", \"learning a language\", \"Olivia\"], \"text_template_based\": \"I spent some time learning a language on 2019/12/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2019/12/01\"], [\"On 2019/12/01, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14994\", \"logical_representation\": [\"2019/12/01\", \"lunch\", \"pasta\", \"Willow, Avery\"], \"text_template_based\": \"I had lunch with Willow, Avery. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/12/01?\", \"Willow, Avery\"], [\"what did I eat for lunch on 2019/12/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14995\", \"logical_representation\": [\"2019/12/01\", \"Piper, Eva, Kinsley\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Piper, Eva, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Kinsley in the early evening on 2019/12/01?\", \"5 minutes\"], [\"who did I talk to on 2019/12/01?\", \"Piper, Eva, Kinsley\"], [\"Did I talk to Piper, Eva, Kinsley on 2019/12/01?\", \"yes\"], [\"Did I talk to anyone on 2019/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14996\", \"logical_representation\": [\"2019/12/01\", \"Rylee, Kinsley, Hazel, Avery\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Rylee, Kinsley, Hazel, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Hazel, Avery in the morning on 2019/12/01?\", \"22 minutes\"], [\"who did I talk to on 2019/12/01?\", \"Rylee, Kinsley, Hazel, Avery\"], [\"Did I talk to Rylee, Kinsley, Hazel, Avery on 2019/12/01?\", \"yes\"], [\"Did I talk to anyone on 2019/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/28\": {\"grocery\": {\"eid\": \"e13751\", \"logical_representation\": [\"2019/11/28\", \"I went grocery shopping with Carter. I bought some strawberries, blueberries, watermelons, raspberries, coffee, apple juice, and facial wash\", \"strawberries, blueberries, watermelons, raspberries\", \"coffee, apple juice\", \"facial wash\", \"Carter\"], \"text_template_based\": \"I went grocery shopping with Carter. I bought some strawberries, blueberries, watermelons, raspberries, coffee, apple juice, and facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/11/28?\", \"strawberries, blueberries, watermelons, raspberries, coffee, apple juice, and facial wash\"], [\"what fruits did I buy from the grocery store on 2019/11/28?\", \"strawberries, blueberries, watermelons, raspberries\"], [\"what drinks did I buy from the grocery store on 2019/11/28?\", \"coffee, apple juice\"], [\"what toiletries did I buy from the grocery store on 2019/11/28?\", \"facial wash\"], [\"who was with me at the grocery store on 2019/11/28?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14985\", \"logical_representation\": [\"2019/11/28\", \"Avery, Layla, Nevaeh, Olivia\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Avery, Layla, Nevaeh, Olivia for 12 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Nevaeh, Olivia in the late afternoon on 2019/11/28?\", \"12 minutes\"], [\"who did I talk to on 2019/11/28?\", \"Avery, Layla, Nevaeh, Olivia\"], [\"Did I talk to Avery, Layla, Nevaeh, Olivia on 2019/11/28?\", \"yes\"], [\"Did I talk to anyone on 2019/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14986\", \"logical_representation\": [\"2019/11/28\", \"Hazel, Kinsley, Piper, Piper\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I talked to Hazel, Kinsley, Piper, Piper for 7 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley, Piper, Piper during lunch hours on 2019/11/28?\", \"7 minutes\"], [\"who did I talk to on 2019/11/28?\", \"Hazel, Kinsley, Piper, Piper\"], [\"Did I talk to Hazel, Kinsley, Piper, Piper on 2019/11/28?\", \"yes\"], [\"Did I talk to anyone on 2019/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/06\": {\"hobbies\": {\"eid\": \"e13752\", \"logical_representation\": [\"2019/12/06\", \"I spent some time meditation on 2019/12/06.\", \"meditation\", \"Benjamin, Jackson\"], \"text_template_based\": \"I spent some time meditation on 2019/12/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2019/12/06\"], [\"On 2019/12/06, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15014\", \"logical_representation\": [\"2019/12/06\", \"running\"], \"text_template_based\": \"I did running on 2019/12/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/06?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15015\", \"logical_representation\": [\"2019/12/06\", \"lunch\", \"fish and chips\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/12/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15016\", \"logical_representation\": [\"2019/12/06\", \"dinner\", \"chinese food\", \"Willow\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/12/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15017\", \"logical_representation\": [\"2019/12/06\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/06?\", \"30 minutes\"], [\"what did I watch on tv on 2019/12/06?\", \"a documentary\"], [\"Did I watch tv on 2019/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/09\": {\"grocery\": {\"eid\": \"e13753\", \"logical_representation\": [\"2019/12/09\", \"I went grocery shopping. I bought some bananas, soda, and toothbrush, paper towel\", \"bananas\", \"soda\", \"toothbrush, paper towel\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, soda, and toothbrush, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/12/09?\", \"bananas, soda, and toothbrush, paper towel\"], [\"what fruits did I buy from the grocery store on 2019/12/09?\", \"bananas\"], [\"what drinks did I buy from the grocery store on 2019/12/09?\", \"soda\"], [\"what toiletries did I buy from the grocery store on 2019/12/09?\", \"toothbrush, paper towel\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15028\", \"logical_representation\": [\"2019/12/09\", \"breakfast\", \"pancakes\", \"Kinsley, Rylee, Layla, Olivia\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/12/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15029\", \"logical_representation\": [\"2019/12/09\", \"social media\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/12/09?\", \"15 minutes\"], [\"what did I read on 2019/12/09?\", \"social media\"], [\"Did I read on 2019/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15030\", \"logical_representation\": [\"2019/12/09\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/09?\", \"44 minutes\"], [\"what did I watch on tv on 2019/12/09?\", \"a documentary\"], [\"Did I watch tv on 2019/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/16\": {\"dating\": {\"eid\": \"e13754\", \"logical_representation\": [\"2019/12/16\", \"Olivia\", \"a boba shop\"], \"text_template_based\": \"On 2019/12/16, I took Olivia on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/12/16\", \"Olivia\"], [\"where did I go for the date on 2019/12/16\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15053\", \"logical_representation\": [\"2019/12/16\", \"lunch\", \"sushi\", \"Kinsley, Layla, Eva, Piper\"], \"text_template_based\": \"I had lunch with Kinsley, Layla, Eva, Piper. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/12/16?\", \"Kinsley, Layla, Eva, Piper\"], [\"what did I eat for lunch on 2019/12/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15054\", \"logical_representation\": [\"2019/12/16\", \"dinner\", \"tacos\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/12/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15055\", \"logical_representation\": [\"2019/12/16\", \"Hazel\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I talked to Hazel for 6 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2019/12/16?\", \"6 minutes\"], [\"who did I talk to on 2019/12/16?\", \"Hazel\"], [\"Did I talk to Hazel on 2019/12/16?\", \"yes\"], [\"Did I talk to anyone on 2019/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15056\", \"logical_representation\": [\"2019/12/16\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/12/16?\", \"51 minutes\"], [\"what did I read on 2019/12/16?\", \"a book\"], [\"Did I read on 2019/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/13\": {\"hobbies\": {\"eid\": \"e13755\", \"logical_representation\": [\"2019/12/13\", \"I spent time learning a language on 2019/12/13 with Kayden.\", \"learning a language\", \"Kayden\"], \"text_template_based\": \"I spent time learning a language on 2019/12/13 with Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Kayden?\", \"2019/12/13\"], [\"On 2019/12/13, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2019/12/13?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15041\", \"logical_representation\": [\"2019/12/13\", \"lunch\", \"sushi\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/12/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15042\", \"logical_representation\": [\"2019/12/13\", \"dinner\", \"a burger\", \"Emily, Andrew\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/12/13\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2019/12/15\": {\"grocery\": {\"eid\": \"e13756\", \"logical_representation\": [\"2019/12/15\", \"I bought some bananas, coffee, milk, mouthwash, shaving cream, mouth wash from the grocery store. I saw Andrew at the grocery store.\", \"bananas\", \"coffee, milk\", \"mouthwash, shaving cream, mouth wash\", \"Andrew\"], \"text_template_based\": \"I bought some bananas, coffee, milk, mouthwash, shaving cream, mouth wash from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/12/15?\", \"bananas, coffee, milk, and mouthwash, shaving cream, mouth wash\"], [\"what fruits did I buy from the grocery store on 2019/12/15?\", \"bananas\"], [\"what drinks did I buy from the grocery store on 2019/12/15?\", \"coffee, milk\"], [\"what toiletries did I buy from the grocery store on 2019/12/15?\", \"mouthwash, shaving cream, mouth wash\"], [\"who did I see at the grocery store on 2019/12/15?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15047\", \"logical_representation\": [\"2019/12/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/12/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15048\", \"logical_representation\": [\"2019/12/15\", \"breakfast\", \"pancakes\", \"Avery, Hazel, Nevaeh, Claire\"], \"text_template_based\": \"I had breakfast with Avery, Hazel, Nevaeh, Claire. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/12/15?\", \"Avery, Hazel, Nevaeh, Claire\"], [\"what did I eat for breakfast on 2019/12/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15049\", \"logical_representation\": [\"2019/12/15\", \"dinner\", \"sandwich\", \"Nevaeh, Piper, Piper\"], \"text_template_based\": \"I had sandwich for dinner with Nevaeh, Piper, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/12/15?\", \"Nevaeh, Piper, Piper\"], [\"what did I eat for dinner on 2019/12/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15050\", \"logical_representation\": [\"2019/12/15\", \"Piper, Rylee\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee for 35 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the morning on 2019/12/15?\", \"35 minutes\"], [\"who did I talk to on 2019/12/15?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2019/12/15?\", \"yes\"], [\"Did I talk to anyone on 2019/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15051\", \"logical_representation\": [\"2019/12/15\", \"Piper, Avery, Lydia\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Piper, Avery, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Lydia late in the evening on 2019/12/15?\", \"6 minutes\"], [\"who did I talk to on 2019/12/15?\", \"Piper, Avery, Lydia\"], [\"Did I talk to Piper, Avery, Lydia on 2019/12/15?\", \"yes\"], [\"Did I talk to anyone on 2019/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15052\", \"logical_representation\": [\"2019/12/15\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/12/15?\", \"14 minutes\"], [\"what did I read on 2019/12/15?\", \"social media\"], [\"Did I read on 2019/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/22\": {\"dating\": {\"eid\": \"e13757\", \"logical_representation\": [\"2019/12/22\", \"Zoe\", \"a park\"], \"text_template_based\": \"On 2019/12/22, I took Zoe on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/12/22\", \"Zoe\"], [\"where did I go for the date on 2019/12/22\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e13759\", \"logical_representation\": [\"2019/12/22\", \"I spent some time gardening on 2019/12/22.\", \"gardening\", \"Piper, Claire\"], \"text_template_based\": \"I spent some time gardening on 2019/12/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2019/12/22\"], [\"On 2019/12/22, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e13760\", \"logical_representation\": [\"2019/12/22\", \"I bought some blackberries, chocolate milk, tea, mineral water, mouth wash from the grocery store. I saw Willow at the grocery store.\", \"blackberries\", \"chocolate milk, tea, mineral water\", \"mouth wash\", \"Willow\"], \"text_template_based\": \"I bought some blackberries, chocolate milk, tea, mineral water, mouth wash from the grocery store. I saw Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/12/22?\", \"blackberries, chocolate milk, tea, mineral water, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2019/12/22?\", \"blackberries\"], [\"what drinks did I buy from the grocery store on 2019/12/22?\", \"chocolate milk, tea, mineral water\"], [\"what toiletries did I buy from the grocery store on 2019/12/22?\", \"mouth wash\"], [\"who did I see at the grocery store on 2019/12/22?\", \"Willow\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15074\", \"logical_representation\": [\"2019/12/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/12/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15075\", \"logical_representation\": [\"2019/12/22\", \"lunch\", \"steak\", \"Rylee, Claire, Hazel\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/12/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15076\", \"logical_representation\": [\"2019/12/22\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/12/22?\", \"45 minutes\"], [\"what did I read on 2019/12/22?\", \"a book\"], [\"Did I read on 2019/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15077\", \"logical_representation\": [\"2019/12/22\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/22?\", \"12 minutes\"], [\"what did I watch on tv on 2019/12/22?\", \"a tv series\"], [\"Did I watch tv on 2019/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/18\": {\"hobbies\": {\"eid\": \"e13758\", \"logical_representation\": [\"2019/12/18\", \"I really enjoyed gardening on 2019/12/18\", \"gardening\", \"Avery, Jackson\"], \"text_template_based\": \"I really enjoyed gardening on 2019/12/18\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2019/12/18\"], [\"On 2019/12/18, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15060\", \"logical_representation\": [\"2019/12/18\", \"lunch\", \"tacos\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had tacos for lunch with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/12/18?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2019/12/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15061\", \"logical_representation\": [\"2019/12/18\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/12/18?\", \"41 minutes\"], [\"what did I read on 2019/12/18?\", \"news\"], [\"Did I read on 2019/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/28\": {\"dating\": {\"eid\": \"e13761\", \"logical_representation\": [\"2019/12/28\", \"Everly\", \"a park\"], \"text_template_based\": \"On 2019/12/28, I took Everly on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/12/28\", \"Everly\"], [\"where did I go for the date on 2019/12/28\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15099\", \"logical_representation\": [\"2019/12/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/12/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15100\", \"logical_representation\": [\"2019/12/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Olivia, Piper\"], \"text_template_based\": \"I had breakfast. 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I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/01/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13793\", \"logical_representation\": [\"2019/01/09\", \"Kinsley, Rylee, Claire, Hazel\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee, Claire, Hazel for 29 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Claire, Hazel in the morning on 2019/01/09?\", \"29 minutes\"], [\"who did I talk to on 2019/01/09?\", \"Kinsley, Rylee, Claire, Hazel\"], [\"Did I talk to Kinsley, Rylee, Claire, Hazel on 2019/01/09?\", \"yes\"], [\"Did I talk to anyone on 2019/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13794\", \"logical_representation\": [\"2019/01/09\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/01/09?\", \"41 minutes\"], [\"what did I read on 2019/01/09?\", \"a book\"], [\"Did I read on 2019/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/10\": {\"breakfast\": {\"eid\": \"e13795\", \"logical_representation\": [\"2019/01/10\", \"breakfast\", \"pancakes\", \"Lydia, Avery, Piper, Olivia\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/01/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13796\", \"logical_representation\": [\"2019/01/10\", \"Claire, Nora, Nevaeh, Avery\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Nevaeh, Avery for 55 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Nevaeh, Avery in the late afternoon on 2019/01/10?\", \"55 minutes\"], [\"who did I talk to on 2019/01/10?\", \"Claire, Nora, Nevaeh, Avery\"], [\"Did I talk to Claire, Nora, Nevaeh, Avery on 2019/01/10?\", \"yes\"], [\"Did I talk to anyone on 2019/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13797\", \"logical_representation\": [\"2019/01/10\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I watched a tv series for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/10?\", \"10 minutes\"], [\"what did I watch on tv on 2019/01/10?\", \"a tv series\"], [\"Did I watch tv on 2019/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/12\": {\"lunch\": {\"eid\": \"e13802\", \"logical_representation\": [\"2019/01/12\", \"lunch\", \"steak\", \"Willow, Benjamin\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/01/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13803\", \"logical_representation\": [\"2019/01/12\", \"dinner\", \"tacos\", \"Nora, Hazel, Lydia, Olivia, Eva, Piper, Piper, Rylee, Avery, Layla, Claire, Nevaeh, Kinsley\"], \"text_template_based\": \"I had dinner with Nora, Hazel, Lydia, Olivia, Eva, Piper, Piper, Rylee, Avery, Layla, Claire, Nevaeh, Kinsley. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/01/12?\", \"Nora, Hazel, Lydia, Olivia, Eva, Piper, Piper, Rylee, Avery, Layla, Claire, Nevaeh, Kinsley\"], [\"what did I eat for dinner on 2019/01/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13804\", \"logical_representation\": [\"2019/01/12\", \"Lydia, Claire, Avery, Piper\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Lydia, Claire, Avery, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Avery, Piper in the morning on 2019/01/12?\", \"20 minutes\"], [\"who did I talk to on 2019/01/12?\", \"Lydia, Claire, Avery, Piper\"], [\"Did I talk to Lydia, Claire, Avery, Piper on 2019/01/12?\", \"yes\"], [\"Did I talk to anyone on 2019/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/13\": {\"exercise\": {\"eid\": \"e13805\", \"logical_representation\": [\"2019/01/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/01/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13806\", \"logical_representation\": [\"2019/01/13\", \"breakfast\", \"oatmeal\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/01/13\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13807\", \"logical_representation\": [\"2019/01/13\", \"lunch\", \"sandwich\", \"Rylee, Hazel, Layla, Nora, Nevaeh\"], \"text_template_based\": \"I had sandwich for lunch with Rylee, Hazel, Layla, Nora, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/01/13?\", \"Rylee, Hazel, Layla, Nora, Nevaeh\"], [\"what did I eat for lunch on 2019/01/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13808\", \"logical_representation\": [\"2019/01/13\", \"dinner\", \"indian food\", \"Avery, Layla, Olivia, Kinsley, Nora\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/01/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13809\", \"logical_representation\": [\"2019/01/13\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/01/13?\", \"42 minutes\"], [\"what did I read on 2019/01/13?\", \"a book\"], [\"Did I read on 2019/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13810\", \"logical_representation\": [\"2019/01/13\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/13?\", \"37 minutes\"], [\"what did I watch on tv on 2019/01/13?\", \"a tv series\"], [\"Did I watch tv on 2019/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/15\": {\"exercise\": {\"eid\": \"e13813\", \"logical_representation\": [\"2019/01/15\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/01/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/15?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13814\", \"logical_representation\": [\"2019/01/15\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/01/15?\", \"16 minutes\"], [\"what did I read on 2019/01/15?\", \"social media\"], [\"Did I read on 2019/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13815\", \"logical_representation\": [\"2019/01/15\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/15?\", \"35 minutes\"], [\"what did I watch on tv on 2019/01/15?\", \"news\"], [\"Did I watch tv on 2019/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/19\": {\"breakfast\": {\"eid\": \"e13829\", \"logical_representation\": [\"2019/01/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had breakfast with Avery, Benjamin, Willow, Jackson. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/01/19?\", \"Avery, Benjamin, Willow, Jackson\"], [\"what did I eat for breakfast on 2019/01/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13830\", \"logical_representation\": [\"2019/01/19\", \"lunch\", \"fish and chips\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/01/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13831\", \"logical_representation\": [\"2019/01/19\", \"Layla\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Layla for 19 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2019/01/19?\", \"19 minutes\"], [\"who did I talk to on 2019/01/19?\", \"Layla\"], [\"Did I talk to Layla on 2019/01/19?\", \"yes\"], [\"Did I talk to anyone on 2019/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13832\", \"logical_representation\": [\"2019/01/19\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/01/19?\", \"47 minutes\"], [\"what did I read on 2019/01/19?\", \"a book\"], [\"Did I read on 2019/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13833\", \"logical_representation\": [\"2019/01/19\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/19?\", \"54 minutes\"], [\"what did I watch on tv on 2019/01/19?\", \"a documentary\"], [\"Did I watch tv on 2019/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/20\": {\"exercise\": {\"eid\": \"e13834\", \"logical_representation\": [\"2019/01/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/01/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13835\", \"logical_representation\": [\"2019/01/20\", \"breakfast\", \"oatmeal\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/01/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13836\", \"logical_representation\": [\"2019/01/20\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/01/20?\", \"8 minutes\"], [\"what did I read on 2019/01/20?\", \"news\"], [\"Did I read on 2019/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/21\": {\"exercise\": {\"eid\": \"e13837\", \"logical_representation\": [\"2019/01/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/01/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2019/01/22\": {\"chat0\": {\"eid\": \"e13838\", \"logical_representation\": [\"2019/01/22\", \"Kinsley\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the morning on 2019/01/22?\", \"43 minutes\"], [\"who did I talk to on 2019/01/22?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2019/01/22?\", \"yes\"], [\"Did I talk to anyone on 2019/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/23\": {\"exercise\": {\"eid\": \"e13839\", \"logical_representation\": [\"2019/01/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/01/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13840\", \"logical_representation\": [\"2019/01/23\", \"dinner\", \"sandwich\", \"Rylee, Piper, Piper, Nora, Eva, Olivia, Avery, Layla, Hazel, Kinsley, Lydia, Claire, Nevaeh\"], \"text_template_based\": \"I had dinner with Rylee, Piper, Piper, Nora, Eva, Olivia, Avery, Layla, Hazel, Kinsley, Lydia, Claire, Nevaeh. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/01/23?\", \"Rylee, Piper, Piper, Nora, Eva, Olivia, Avery, Layla, Hazel, Kinsley, Lydia, Claire, Nevaeh\"], [\"what did I eat for dinner on 2019/01/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2019/01/24\": {\"exercise\": {\"eid\": \"e13841\", \"logical_representation\": [\"2019/01/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/01/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13842\", \"logical_representation\": [\"2019/01/24\", \"Hazel, Eva, Claire\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I talked to Hazel, Eva, Claire for 43 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Eva, Claire in the early evening on 2019/01/24?\", \"43 minutes\"], [\"who did I talk to on 2019/01/24?\", \"Hazel, Eva, Claire\"], [\"Did I talk to Hazel, Eva, Claire on 2019/01/24?\", \"yes\"], [\"Did I talk to anyone on 2019/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13843\", \"logical_representation\": [\"2019/01/24\", \"Eva\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2019/01/24?\", \"52 minutes\"], [\"who did I talk to on 2019/01/24?\", \"Eva\"], [\"Did I talk to Eva on 2019/01/24?\", \"yes\"], [\"Did I talk to anyone on 2019/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/27\": {\"breakfast\": {\"eid\": \"e13853\", \"logical_representation\": [\"2019/01/27\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/01/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13854\", \"logical_representation\": [\"2019/01/27\", \"lunch\", \"indian food\", \"Nevaeh, Piper, Lydia, Kinsley, Avery, Layla, Eva, Hazel, Olivia, Nora, Piper, Claire\"], \"text_template_based\": \"I had lunch with Nevaeh, Piper, Lydia, Kinsley, Avery, Layla, Eva, Hazel, Olivia, Nora, Piper, Claire. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/01/27?\", \"Nevaeh, Piper, Lydia, Kinsley, Avery, Layla, Eva, Hazel, Olivia, Nora, Piper, Claire\"], [\"what did I eat for lunch on 2019/01/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13855\", \"logical_representation\": [\"2019/01/27\", \"dinner\", \"tacos\", \"Carter, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/01/27?\", \"Carter, Kayden\"], [\"what did I eat for dinner on 2019/01/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13856\", \"logical_representation\": [\"2019/01/27\", \"Nevaeh, Nora, Claire\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Nora, Claire for 49 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Claire during lunch hours on 2019/01/27?\", \"49 minutes\"], [\"who did I talk to on 2019/01/27?\", \"Nevaeh, Nora, Claire\"], [\"Did I talk to Nevaeh, Nora, Claire on 2019/01/27?\", \"yes\"], [\"Did I talk to anyone on 2019/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13857\", \"logical_representation\": [\"2019/01/27\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I watched a documentary for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/27?\", \"25 minutes\"], [\"what did I watch on tv on 2019/01/27?\", \"a documentary\"], [\"Did I watch tv on 2019/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/28\": {\"exercise\": {\"eid\": \"e13858\", \"logical_representation\": [\"2019/01/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/01/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13859\", \"logical_representation\": [\"2019/01/28\", \"lunch\", \"sushi\", \"Piper, Hazel, Lydia\"], \"text_template_based\": \"I had sushi for lunch with Piper, Hazel, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/01/28?\", \"Piper, Hazel, Lydia\"], [\"what did I eat for lunch on 2019/01/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13860\", \"logical_representation\": [\"2019/01/28\", \"Rylee, Piper\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper for 24 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper in the early evening on 2019/01/28?\", \"24 minutes\"], [\"who did I talk to on 2019/01/28?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2019/01/28?\", \"yes\"], [\"Did I talk to anyone on 2019/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13861\", \"logical_representation\": [\"2019/01/28\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/01/28?\", \"37 minutes\"], [\"what did I read on 2019/01/28?\", \"a book\"], [\"Did I read on 2019/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13862\", \"logical_representation\": [\"2019/01/28\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I watched a movie for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/28?\", \"17 minutes\"], [\"what did I watch on tv on 2019/01/28?\", \"a movie\"], [\"Did I watch tv on 2019/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/29\": {\"breakfast\": {\"eid\": \"e13863\", \"logical_representation\": [\"2019/01/29\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/01/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13864\", \"logical_representation\": [\"2019/01/29\", \"lunch\", \"fish and chips\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had fish and chips for lunch with Kayden, Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/01/29?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2019/01/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13865\", \"logical_representation\": [\"2019/01/29\", \"dinner\", \"sandwich\", \"Layla, Claire, Nora, Olivia\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/01/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13866\", \"logical_representation\": [\"2019/01/29\", \"Piper\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2019/01/29?\", \"32 minutes\"], [\"who did I talk to on 2019/01/29?\", \"Piper\"], [\"Did I talk to Piper on 2019/01/29?\", \"yes\"], [\"Did I talk to anyone on 2019/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13867\", \"logical_representation\": [\"2019/01/29\", \"a tv series\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/29?\", \"16 minutes\"], [\"what did I watch on tv on 2019/01/29?\", \"a tv series\"], [\"Did I watch tv on 2019/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/30\": {\"exercise\": {\"eid\": \"e13868\", \"logical_representation\": [\"2019/01/30\", \"biking\"], \"text_template_based\": \"I did biking on 2019/01/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13869\", \"logical_representation\": [\"2019/01/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/01/30?\", \"Emily, Kayden, Carter\"], [\"what did I eat for breakfast on 2019/01/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13870\", \"logical_representation\": [\"2019/01/30\", \"lunch\", \"pasta\", \"Avery, Benjamin\"], \"text_template_based\": \"I had pasta for lunch with Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/01/30?\", \"Avery, Benjamin\"], [\"what did I eat for lunch on 2019/01/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13871\", \"logical_representation\": [\"2019/01/30\", \"Nevaeh, Avery, Lydia, Olivia\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Nevaeh, Avery, Lydia, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Lydia, Olivia in the early evening on 2019/01/30?\", \"11 minutes\"], [\"who did I talk to on 2019/01/30?\", \"Nevaeh, Avery, Lydia, Olivia\"], [\"Did I talk to Nevaeh, Avery, Lydia, Olivia on 2019/01/30?\", \"yes\"], [\"Did I talk to anyone on 2019/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13872\", \"logical_representation\": [\"2019/01/30\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/30?\", \"41 minutes\"], [\"what did I watch on tv on 2019/01/30?\", \"news\"], [\"Did I watch tv on 2019/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/31\": {\"lunch\": {\"eid\": \"e13873\", \"logical_representation\": [\"2019/01/31\", \"lunch\", \"steak\", \"Eva, Hazel, Nevaeh, Piper, Avery, Claire, Kinsley, Nora\"], \"text_template_based\": \"I had lunch with Eva, Hazel, Nevaeh, Piper, Avery, Claire, Kinsley, Nora. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/01/31?\", \"Eva, Hazel, Nevaeh, Piper, Avery, Claire, Kinsley, Nora\"], [\"what did I eat for lunch on 2019/01/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13874\", \"logical_representation\": [\"2019/01/31\", \"dinner\", \"sushi\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/01/31\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13875\", \"logical_representation\": [\"2019/01/31\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/01/31?\", \"43 minutes\"], [\"what did I read on 2019/01/31?\", \"news\"], [\"Did I read on 2019/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/01\": {\"exercise\": {\"eid\": \"e13876\", \"logical_representation\": [\"2019/02/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/02/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13877\", \"logical_representation\": [\"2019/02/01\", \"breakfast\", \"cereals\", \"Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/02/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13878\", \"logical_representation\": [\"2019/02/01\", \"dinner\", \"chinese food\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/02/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13879\", \"logical_representation\": [\"2019/02/01\", \"Rylee, Nora, Hazel\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Rylee, Nora, Hazel for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Hazel late in the evening on 2019/02/01?\", \"18 minutes\"], [\"who did I talk to on 2019/02/01?\", \"Rylee, Nora, Hazel\"], [\"Did I talk to Rylee, Nora, Hazel on 2019/02/01?\", \"yes\"], [\"Did I talk to anyone on 2019/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13880\", \"logical_representation\": [\"2019/02/01\", \"Lydia, Kinsley\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley for 48 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley in the early evening on 2019/02/01?\", \"48 minutes\"], [\"who did I talk to on 2019/02/01?\", \"Lydia, Kinsley\"], [\"Did I talk to Lydia, Kinsley on 2019/02/01?\", \"yes\"], [\"Did I talk to anyone on 2019/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13881\", \"logical_representation\": [\"2019/02/01\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/02/01?\", \"32 minutes\"], [\"what did I read on 2019/02/01?\", \"news\"], [\"Did I read on 2019/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/03\": {\"breakfast\": {\"eid\": \"e13884\", \"logical_representation\": [\"2019/02/03\", \"breakfast\", \"pancakes\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Emily, Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/02/03?\", \"Emily, Kayden\"], [\"what did I eat for breakfast on 2019/02/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13885\", \"logical_representation\": [\"2019/02/03\", \"lunch\", \"steak\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I had steak for lunch with Avery, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/02/03?\", \"Avery, Willow, Benjamin\"], [\"what did I eat for lunch on 2019/02/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13886\", \"logical_representation\": [\"2019/02/03\", \"dinner\", \"fish and chips\", \"Nevaeh, Lydia, Rylee, Piper, Hazel, Layla, Olivia, Piper\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/02/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13887\", \"logical_representation\": [\"2019/02/03\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/02/03?\", \"12 minutes\"], [\"what did I read on 2019/02/03?\", \"news\"], [\"Did I read on 2019/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/04\": {\"breakfast\": {\"eid\": \"e13888\", \"logical_representation\": [\"2019/02/04\", \"breakfast\", \"oatmeal\", \"Olivia, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/02/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13889\", \"logical_representation\": [\"2019/02/04\", \"lunch\", \"fish and chips\", \"Carter, Andrew\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/02/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13890\", \"logical_representation\": [\"2019/02/04\", \"Nora\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2019/02/04?\", \"38 minutes\"], [\"who did I talk to on 2019/02/04?\", \"Nora\"], [\"Did I talk to Nora on 2019/02/04?\", \"yes\"], [\"Did I talk to anyone on 2019/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/06\": {\"exercise\": {\"eid\": \"e13895\", \"logical_representation\": [\"2019/02/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/02/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13896\", \"logical_representation\": [\"2019/02/06\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/02/06?\", \"34 minutes\"], [\"what did I read on 2019/02/06?\", \"social media\"], [\"Did I read on 2019/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13897\", \"logical_representation\": [\"2019/02/06\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/06?\", \"17 minutes\"], [\"what did I watch on tv on 2019/02/06?\", \"a tv series\"], [\"Did I watch tv on 2019/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/07\": {\"breakfast\": {\"eid\": \"e13898\", \"logical_representation\": [\"2019/02/07\", \"breakfast\", \"oatmeal\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had oatmeal for breakfast with Avery, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/02/07?\", \"Avery, Jackson, Benjamin\"], [\"what did I eat for breakfast on 2019/02/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13899\", \"logical_representation\": [\"2019/02/07\", \"Avery, Layla, Lydia, Olivia\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I talked to Avery, Layla, Lydia, Olivia for 47 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Lydia, Olivia in the morning on 2019/02/07?\", \"47 minutes\"], [\"who did I talk to on 2019/02/07?\", \"Avery, Layla, Lydia, Olivia\"], [\"Did I talk to Avery, Layla, Lydia, Olivia on 2019/02/07?\", \"yes\"], [\"Did I talk to anyone on 2019/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13900\", \"logical_representation\": [\"2019/02/07\", \"Olivia, Layla, Nora, Eva\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Olivia, Layla, Nora, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Nora, Eva in the early afternoon on 2019/02/07?\", \"28 minutes\"], [\"who did I talk to on 2019/02/07?\", \"Olivia, Layla, Nora, Eva\"], [\"Did I talk to Olivia, Layla, Nora, Eva on 2019/02/07?\", \"yes\"], [\"Did I talk to anyone on 2019/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13901\", \"logical_representation\": [\"2019/02/07\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/02/07?\", \"45 minutes\"], [\"what did I read on 2019/02/07?\", \"news\"], [\"Did I read on 2019/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13902\", \"logical_representation\": [\"2019/02/07\", \"a documentary\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/07?\", \"45 minutes\"], [\"what did I watch on tv on 2019/02/07?\", \"a documentary\"], [\"Did I watch tv on 2019/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/10\": {\"exercise\": {\"eid\": \"e13909\", \"logical_representation\": [\"2019/02/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/02/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13910\", \"logical_representation\": [\"2019/02/10\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/02/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13911\", \"logical_representation\": [\"2019/02/10\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/10?\", \"6 minutes\"], [\"what did I watch on tv on 2019/02/10?\", \"a tv series\"], [\"Did I watch tv on 2019/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/12\": {\"exercise\": {\"eid\": \"e13913\", \"logical_representation\": [\"2019/02/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/02/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13914\", \"logical_representation\": [\"2019/02/12\", \"lunch\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I had sandwich for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/02/12?\", \"Andrew\"], [\"what did I eat for lunch on 2019/02/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13915\", \"logical_representation\": [\"2019/02/12\", \"dinner\", \"sushi\", \"Rylee, Claire\"], \"text_template_based\": \"I had sushi for dinner with Rylee, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/02/12?\", \"Rylee, Claire\"], [\"what did I eat for dinner on 2019/02/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13916\", \"logical_representation\": [\"2019/02/12\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/12?\", \"30 minutes\"], [\"what did I watch on tv on 2019/02/12?\", \"a documentary\"], [\"Did I watch tv on 2019/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/13\": {\"dinner\": {\"eid\": \"e13917\", \"logical_representation\": [\"2019/02/13\", \"dinner\", \"sushi\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I had sushi for dinner with Avery, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/02/13?\", \"Avery, Willow, Benjamin\"], [\"what did I eat for dinner on 2019/02/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13918\", \"logical_representation\": [\"2019/02/13\", \"Lydia, Piper, Eva\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Eva for 42 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Eva late in the evening on 2019/02/13?\", \"42 minutes\"], [\"who did I talk to on 2019/02/13?\", \"Lydia, Piper, Eva\"], [\"Did I talk to Lydia, Piper, Eva on 2019/02/13?\", \"yes\"], [\"Did I talk to anyone on 2019/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13919\", \"logical_representation\": [\"2019/02/13\", \"Kinsley, Layla, Eva, Piper\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla, Eva, Piper for 7 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Eva, Piper in the early evening on 2019/02/13?\", \"7 minutes\"], [\"who did I talk to on 2019/02/13?\", \"Kinsley, Layla, Eva, Piper\"], [\"Did I talk to Kinsley, Layla, Eva, Piper on 2019/02/13?\", \"yes\"], [\"Did I talk to anyone on 2019/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13920\", \"logical_representation\": [\"2019/02/13\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/02/13?\", \"44 minutes\"], [\"what did I read on 2019/02/13?\", \"social media\"], [\"Did I read on 2019/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/14\": {\"exercise\": {\"eid\": \"e13921\", \"logical_representation\": [\"2019/02/14\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/02/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/14?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13922\", \"logical_representation\": [\"2019/02/14\", \"Layla, Olivia\", \"in the late afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Layla, Olivia for 36 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia in the late afternoon on 2019/02/14?\", \"36 minutes\"], [\"who did I talk to on 2019/02/14?\", \"Layla, Olivia\"], [\"Did I talk to Layla, Olivia on 2019/02/14?\", \"yes\"], [\"Did I talk to anyone on 2019/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13923\", \"logical_representation\": [\"2019/02/14\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/02/14?\", \"50 minutes\"], [\"what did I read on 2019/02/14?\", \"social media\"], [\"Did I read on 2019/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/16\": {\"breakfast\": {\"eid\": \"e13925\", \"logical_representation\": [\"2019/02/16\", \"breakfast\", \"pancakes\", \"Jackson, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Willow. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/02/16?\", \"Jackson, Willow\"], [\"what did I eat for breakfast on 2019/02/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13926\", \"logical_representation\": [\"2019/02/16\", \"dinner\", \"a burger\", \"Kinsley, Rylee, Olivia, Layla, Lydia, Eva, Claire, Hazel\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/02/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13927\", \"logical_representation\": [\"2019/02/16\", \"Layla, Hazel\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Layla, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel in the early evening on 2019/02/16?\", \"40 minutes\"], [\"who did I talk to on 2019/02/16?\", \"Layla, Hazel\"], [\"Did I talk to Layla, Hazel on 2019/02/16?\", \"yes\"], [\"Did I talk to anyone on 2019/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13928\", \"logical_representation\": [\"2019/02/16\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/02/16?\", \"53 minutes\"], [\"what did I read on 2019/02/16?\", \"news\"], [\"Did I read on 2019/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13929\", \"logical_representation\": [\"2019/02/16\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I watched a movie for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/16?\", \"5 minutes\"], [\"what did I watch on tv on 2019/02/16?\", \"a movie\"], [\"Did I watch tv on 2019/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/17\": {\"dinner\": {\"eid\": \"e13930\", \"logical_representation\": [\"2019/02/17\", \"dinner\", \"indian food\", \"Lydia, Claire, Rylee, Hazel, Eva, Layla, Olivia, Kinsley, Nora, Nevaeh, Avery, Piper\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/02/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13931\", \"logical_representation\": [\"2019/02/17\", \"Eva, Rylee, Hazel, Olivia\", \"in the early afternoon\", \"55 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee, Hazel, Olivia for 55 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Hazel, Olivia in the early afternoon on 2019/02/17?\", \"55 minutes\"], [\"who did I talk to on 2019/02/17?\", \"Eva, Rylee, Hazel, Olivia\"], [\"Did I talk to Eva, Rylee, Hazel, Olivia on 2019/02/17?\", \"yes\"], [\"Did I talk to anyone on 2019/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13932\", \"logical_representation\": [\"2019/02/17\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/02/17?\", \"55 minutes\"], [\"what did I read on 2019/02/17?\", \"news\"], [\"Did I read on 2019/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13933\", \"logical_representation\": [\"2019/02/17\", \"a tv series\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/17?\", \"16 minutes\"], [\"what did I watch on tv on 2019/02/17?\", \"a tv series\"], [\"Did I watch tv on 2019/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/19\": {\"exercise\": {\"eid\": \"e13939\", \"logical_representation\": [\"2019/02/19\", \"biking\"], \"text_template_based\": \"I did biking on 2019/02/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13940\", \"logical_representation\": [\"2019/02/19\", \"lunch\", \"sandwich\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/02/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13941\", \"logical_representation\": [\"2019/02/19\", \"Layla, Kinsley, Olivia\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Layla, Kinsley, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Olivia in the early evening on 2019/02/19?\", \"52 minutes\"], [\"who did I talk to on 2019/02/19?\", \"Layla, Kinsley, Olivia\"], [\"Did I talk to Layla, Kinsley, Olivia on 2019/02/19?\", \"yes\"], [\"Did I talk to anyone on 2019/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13942\", \"logical_representation\": [\"2019/02/19\", \"Rylee, Kinsley, Hazel, Avery\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Rylee, Kinsley, Hazel, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Hazel, Avery late in the evening on 2019/02/19?\", \"42 minutes\"], [\"who did I talk to on 2019/02/19?\", \"Rylee, Kinsley, Hazel, Avery\"], [\"Did I talk to Rylee, Kinsley, Hazel, Avery on 2019/02/19?\", \"yes\"], [\"Did I talk to anyone on 2019/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13943\", \"logical_representation\": [\"2019/02/19\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I watched a tv series for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/19?\", \"34 minutes\"], [\"what did I watch on tv on 2019/02/19?\", \"a tv series\"], [\"Did I watch tv on 2019/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/20\": {\"exercise\": {\"eid\": \"e13944\", \"logical_representation\": [\"2019/02/20\", \"running\"], \"text_template_based\": \"I did running on 2019/02/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/20?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13945\", \"logical_representation\": [\"2019/02/20\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/02/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13946\", \"logical_representation\": [\"2019/02/20\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/02/20?\", \"49 minutes\"], [\"what did I read on 2019/02/20?\", \"a book\"], [\"Did I read on 2019/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/21\": {\"lunch\": {\"eid\": \"e13947\", \"logical_representation\": [\"2019/02/21\", \"lunch\", \"steak\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had lunch with Willow, Jackson, Benjamin, Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/02/21?\", \"Willow, Jackson, Benjamin, Avery\"], [\"what did I eat for lunch on 2019/02/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13948\", \"logical_representation\": [\"2019/02/21\", \"dinner\", \"tacos\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/02/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13949\", \"logical_representation\": [\"2019/02/21\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/02/21?\", \"30 minutes\"], [\"what did I read on 2019/02/21?\", \"news\"], [\"Did I read on 2019/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/22\": {\"lunch\": {\"eid\": \"e13950\", \"logical_representation\": [\"2019/02/22\", \"lunch\", \"fish and chips\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/02/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13951\", \"logical_representation\": [\"2019/02/22\", \"dinner\", \"a burger\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/02/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13952\", \"logical_representation\": [\"2019/02/22\", \"Kinsley, Claire\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire for 23 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire in the early evening on 2019/02/22?\", \"23 minutes\"], [\"who did I talk to on 2019/02/22?\", \"Kinsley, Claire\"], [\"Did I talk to Kinsley, Claire on 2019/02/22?\", \"yes\"], [\"Did I talk to anyone on 2019/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13953\", \"logical_representation\": [\"2019/02/22\", \"Hazel, Olivia, Piper, Lydia\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Hazel, Olivia, Piper, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia, Piper, Lydia late in the evening on 2019/02/22?\", \"29 minutes\"], [\"who did I talk to on 2019/02/22?\", \"Hazel, Olivia, Piper, Lydia\"], [\"Did I talk to Hazel, Olivia, Piper, Lydia on 2019/02/22?\", \"yes\"], [\"Did I talk to anyone on 2019/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/23\": {\"social media\": {\"eid\": \"e13954\", \"logical_representation\": [\"2019/02/23\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/02/23?\", \"31 minutes\"], [\"what did I read on 2019/02/23?\", \"social media\"], [\"Did I read on 2019/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/25\": {\"exercise\": {\"eid\": \"e13956\", \"logical_representation\": [\"2019/02/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/02/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e13957\", \"logical_representation\": [\"2019/02/25\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Andrew, Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/02/25?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2019/02/25\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13958\", \"logical_representation\": [\"2019/02/25\", \"lunch\", \"a burger\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/02/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13959\", \"logical_representation\": [\"2019/02/25\", \"dinner\", \"pasta\", \"Olivia, Nevaeh, Eva\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/02/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13960\", \"logical_representation\": [\"2019/02/25\", \"Hazel, Piper\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Hazel, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper late in the evening on 2019/02/25?\", \"11 minutes\"], [\"who did I talk to on 2019/02/25?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2019/02/25?\", \"yes\"], [\"Did I talk to anyone on 2019/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13961\", \"logical_representation\": [\"2019/02/25\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/02/25?\", \"20 minutes\"], [\"what did I read on 2019/02/25?\", \"social media\"], [\"Did I read on 2019/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13962\", \"logical_representation\": [\"2019/02/25\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I watched a documentary for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/25?\", \"17 minutes\"], [\"what did I watch on tv on 2019/02/25?\", \"a documentary\"], [\"Did I watch tv on 2019/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/26\": {\"exercise\": {\"eid\": \"e13963\", \"logical_representation\": [\"2019/02/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/02/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13964\", \"logical_representation\": [\"2019/02/26\", \"dinner\", \"pasta\", \"Avery, Eva, Lydia, Piper, Nora, Piper, Rylee, Layla, Olivia, Claire\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/02/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13965\", \"logical_representation\": [\"2019/02/26\", \"Claire, Hazel, Nevaeh\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Claire, Hazel, Nevaeh for 28 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Nevaeh in the early afternoon on 2019/02/26?\", \"28 minutes\"], [\"who did I talk to on 2019/02/26?\", \"Claire, Hazel, Nevaeh\"], [\"Did I talk to Claire, Hazel, Nevaeh on 2019/02/26?\", \"yes\"], [\"Did I talk to anyone on 2019/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13966\", \"logical_representation\": [\"2019/02/26\", \"Avery\", \"late in the evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Avery for 19 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2019/02/26?\", \"19 minutes\"], [\"who did I talk to on 2019/02/26?\", \"Avery\"], [\"Did I talk to Avery on 2019/02/26?\", \"yes\"], [\"Did I talk to anyone on 2019/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13967\", \"logical_representation\": [\"2019/02/26\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/02/26?\", \"24 minutes\"], [\"what did I read on 2019/02/26?\", \"social media\"], [\"Did I read on 2019/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13968\", \"logical_representation\": [\"2019/02/26\", \"a documentary\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/26?\", \"24 minutes\"], [\"what did I watch on tv on 2019/02/26?\", \"a documentary\"], [\"Did I watch tv on 2019/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/27\": {\"exercise\": {\"eid\": \"e13969\", \"logical_representation\": [\"2019/02/27\", \"running\"], \"text_template_based\": \"I did running on 2019/02/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13970\", \"logical_representation\": [\"2019/02/27\", \"Lydia, Piper, Nora, Rylee\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Nora, Rylee for 50 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Nora, Rylee in the late afternoon on 2019/02/27?\", \"50 minutes\"], [\"who did I talk to on 2019/02/27?\", \"Lydia, Piper, Nora, Rylee\"], [\"Did I talk to Lydia, Piper, Nora, Rylee on 2019/02/27?\", \"yes\"], [\"Did I talk to anyone on 2019/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/01\": {\"breakfast\": {\"eid\": \"e13974\", \"logical_representation\": [\"2019/03/01\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had pancakes for breakfast with Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/03/01?\", \"Emily, Andrew, Carter\"], [\"what did I eat for breakfast on 2019/03/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13975\", \"logical_representation\": [\"2019/03/01\", \"lunch\", \"a burger\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/03/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13976\", \"logical_representation\": [\"2019/03/01\", \"dinner\", \"pasta\", \"Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/03/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13977\", \"logical_representation\": [\"2019/03/01\", \"Nevaeh, Piper, Piper\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Nevaeh, Piper, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Piper in the early afternoon on 2019/03/01?\", \"15 minutes\"], [\"who did I talk to on 2019/03/01?\", \"Nevaeh, Piper, Piper\"], [\"Did I talk to Nevaeh, Piper, Piper on 2019/03/01?\", \"yes\"], [\"Did I talk to anyone on 2019/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13978\", \"logical_representation\": [\"2019/03/01\", \"news\", \"33 minutes\"], \"text_template_based\": \"I watched news for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/01?\", \"33 minutes\"], [\"what did I watch on tv on 2019/03/01?\", \"news\"], [\"Did I watch tv on 2019/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/03\": {\"exercise\": {\"eid\": \"e13982\", \"logical_representation\": [\"2019/03/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/03/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2019/03/05\": {\"exercise\": {\"eid\": \"e13985\", \"logical_representation\": [\"2019/03/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/03/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13986\", \"logical_representation\": [\"2019/03/05\", \"lunch\", \"steak\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Andrew, Emily, Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/03/05?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for lunch on 2019/03/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e13987\", \"logical_representation\": [\"2019/03/05\", \"dinner\", \"chinese food\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had dinner with Benjamin, Jackson, Avery. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/03/05?\", \"Benjamin, Jackson, Avery\"], [\"what did I eat for dinner on 2019/03/05\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e13988\", \"logical_representation\": [\"2019/03/05\", \"Layla, Olivia\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I talked to Layla, Olivia for 27 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia in the morning on 2019/03/05?\", \"27 minutes\"], [\"who did I talk to on 2019/03/05?\", \"Layla, Olivia\"], [\"Did I talk to Layla, Olivia on 2019/03/05?\", \"yes\"], [\"Did I talk to anyone on 2019/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e13989\", \"logical_representation\": [\"2019/03/05\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/03/05?\", \"28 minutes\"], [\"what did I read on 2019/03/05?\", \"social media\"], [\"Did I read on 2019/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/06\": {\"exercise\": {\"eid\": \"e13990\", \"logical_representation\": [\"2019/03/06\", \"biking\"], \"text_template_based\": \"I did biking on 2019/03/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/06?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13991\", \"logical_representation\": [\"2019/03/06\", \"lunch\", \"indian food\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had indian food for lunch with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/03/06?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2019/03/06\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/03/08\": {\"breakfast\": {\"eid\": \"e13995\", \"logical_representation\": [\"2019/03/08\", \"breakfast\", \"toast and cheese\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/03/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e13996\", \"logical_representation\": [\"2019/03/08\", \"lunch\", \"a burger\", \"Kinsley, Avery, Eva, Layla, Rylee, Piper, Claire\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/03/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e13997\", \"logical_representation\": [\"2019/03/08\", \"Kinsley, Claire, Piper\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Kinsley, Claire, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Piper in the late afternoon on 2019/03/08?\", \"12 minutes\"], [\"who did I talk to on 2019/03/08?\", \"Kinsley, Claire, Piper\"], [\"Did I talk to Kinsley, Claire, Piper on 2019/03/08?\", \"yes\"], [\"Did I talk to anyone on 2019/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e13998\", \"logical_representation\": [\"2019/03/08\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/03/08?\", \"41 minutes\"], [\"what did I read on 2019/03/08?\", \"a book\"], [\"Did I read on 2019/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e13999\", \"logical_representation\": [\"2019/03/08\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/08?\", \"18 minutes\"], [\"what did I watch on tv on 2019/03/08?\", \"a tv series\"], [\"Did I watch tv on 2019/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/09\": {\"exercise\": {\"eid\": \"e14000\", \"logical_representation\": [\"2019/03/09\", \"running\"], \"text_template_based\": \"I did running on 2019/03/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/09?\", \"running\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14001\", \"logical_representation\": [\"2019/03/09\", \"a movie\", \"35 minutes\"], \"text_template_based\": \"I watched a movie for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/09?\", \"35 minutes\"], [\"what did I watch on tv on 2019/03/09?\", \"a movie\"], [\"Did I watch tv on 2019/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/14\": {\"exercise\": {\"eid\": \"e14014\", \"logical_representation\": [\"2019/03/14\", \"biking\"], \"text_template_based\": \"I did biking on 2019/03/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14015\", \"logical_representation\": [\"2019/03/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/03/14?\", \"Andrew\"], [\"what did I eat for breakfast on 2019/03/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14016\", \"logical_representation\": [\"2019/03/14\", \"lunch\", \"steak\", \"Nevaeh, Nora, Olivia, Rylee, Lydia, Eva, Hazel, Layla, Claire, Kinsley, Piper\"], \"text_template_based\": \"I had lunch with Nevaeh, Nora, Olivia, Rylee, Lydia, Eva, Hazel, Layla, Claire, Kinsley, Piper. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/03/14?\", \"Nevaeh, Nora, Olivia, Rylee, Lydia, Eva, Hazel, Layla, Claire, Kinsley, Piper\"], [\"what did I eat for lunch on 2019/03/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14017\", \"logical_representation\": [\"2019/03/14\", \"dinner\", \"steak\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/03/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14018\", \"logical_representation\": [\"2019/03/14\", \"Lydia, Piper, Layla\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Lydia, Piper, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Layla late in the evening on 2019/03/14?\", \"12 minutes\"], [\"who did I talk to on 2019/03/14?\", \"Lydia, Piper, Layla\"], [\"Did I talk to Lydia, Piper, Layla on 2019/03/14?\", \"yes\"], [\"Did I talk to anyone on 2019/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14019\", \"logical_representation\": [\"2019/03/14\", \"Piper, Avery\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Piper, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery during lunch hours on 2019/03/14?\", \"39 minutes\"], [\"who did I talk to on 2019/03/14?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2019/03/14?\", \"yes\"], [\"Did I talk to anyone on 2019/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14020\", \"logical_representation\": [\"2019/03/14\", \"a tv series\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/14?\", \"14 minutes\"], [\"what did I watch on tv on 2019/03/14?\", \"a tv series\"], [\"Did I watch tv on 2019/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/18\": {\"exercise\": {\"eid\": \"e14030\", \"logical_representation\": [\"2019/03/18\", \"biking\"], \"text_template_based\": \"I did biking on 2019/03/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/18?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14031\", \"logical_representation\": [\"2019/03/18\", \"breakfast\", \"oatmeal\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/03/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14032\", \"logical_representation\": [\"2019/03/18\", \"dinner\", \"tacos\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had dinner with Jackson, Benjamin, Avery, Willow. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/03/18?\", \"Jackson, Benjamin, Avery, Willow\"], [\"what did I eat for dinner on 2019/03/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14033\", \"logical_representation\": [\"2019/03/18\", \"Nevaeh\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 14 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2019/03/18?\", \"14 minutes\"], [\"who did I talk to on 2019/03/18?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2019/03/18?\", \"yes\"], [\"Did I talk to anyone on 2019/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14034\", \"logical_representation\": [\"2019/03/18\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/03/18?\", \"37 minutes\"], [\"what did I read on 2019/03/18?\", \"social media\"], [\"Did I read on 2019/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/26\": {\"exercise\": {\"eid\": \"e14054\", \"logical_representation\": [\"2019/03/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/03/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14055\", \"logical_representation\": [\"2019/03/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Rylee, Piper, Claire, Lydia, Nevaeh, Avery, Piper, Olivia, Layla, Nora\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Eva, Rylee, Piper, Claire, Lydia, Nevaeh, Avery, Piper, Olivia, Layla, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/03/26?\", \"Eva, Rylee, Piper, Claire, Lydia, Nevaeh, Avery, Piper, Olivia, Layla, Nora\"], [\"what did I eat for breakfast on 2019/03/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14056\", \"logical_representation\": [\"2019/03/26\", \"dinner\", \"chinese food\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had chinese food for dinner with Benjamin, Avery, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/03/26?\", \"Benjamin, Avery, Willow, Jackson\"], [\"what did I eat for dinner on 2019/03/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2019/03/27\": {\"exercise\": {\"eid\": \"e14057\", \"logical_representation\": [\"2019/03/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/03/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14058\", \"logical_representation\": [\"2019/03/27\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/03/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14059\", \"logical_representation\": [\"2019/03/27\", \"dinner\", \"indian food\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/03/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14060\", \"logical_representation\": [\"2019/03/27\", \"Claire, Lydia, Hazel\", \"late in the evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Claire, Lydia, Hazel for 23 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Hazel late in the evening on 2019/03/27?\", \"23 minutes\"], [\"who did I talk to on 2019/03/27?\", \"Claire, Lydia, Hazel\"], [\"Did I talk to Claire, Lydia, Hazel on 2019/03/27?\", \"yes\"], [\"Did I talk to anyone on 2019/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14061\", \"logical_representation\": [\"2019/03/27\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/03/27?\", \"17 minutes\"], [\"what did I read on 2019/03/27?\", \"a book\"], [\"Did I read on 2019/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14062\", \"logical_representation\": [\"2019/03/27\", \"a documentary\", \"18 minutes\"], \"text_template_based\": \"I watched a documentary for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/27?\", \"18 minutes\"], [\"what did I watch on tv on 2019/03/27?\", \"a documentary\"], [\"Did I watch tv on 2019/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/28\": {\"exercise\": {\"eid\": \"e14063\", \"logical_representation\": [\"2019/03/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/03/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14064\", \"logical_representation\": [\"2019/03/28\", \"lunch\", \"fish and chips\", \"Kinsley, Eva, Rylee, Piper\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/03/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14065\", \"logical_representation\": [\"2019/03/28\", \"Nevaeh, Olivia, Eva, Piper\", \"in the late afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Eva, Piper for 35 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Eva, Piper in the late afternoon on 2019/03/28?\", \"35 minutes\"], [\"who did I talk to on 2019/03/28?\", \"Nevaeh, Olivia, Eva, Piper\"], [\"Did I talk to Nevaeh, Olivia, Eva, Piper on 2019/03/28?\", \"yes\"], [\"Did I talk to anyone on 2019/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14066\", \"logical_representation\": [\"2019/03/28\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I watched a movie for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/28?\", \"23 minutes\"], [\"what did I watch on tv on 2019/03/28?\", \"a movie\"], [\"Did I watch tv on 2019/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/29\": {\"breakfast\": {\"eid\": \"e14067\", \"logical_representation\": [\"2019/03/29\", \"breakfast\", \"cereals\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/03/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14068\", \"logical_representation\": [\"2019/03/29\", \"dinner\", \"indian food\", \"Jackson\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/03/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14069\", \"logical_representation\": [\"2019/03/29\", \"Nevaeh, Olivia, Layla\", \"in the early evening\", \"22 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Layla for 22 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Layla in the early evening on 2019/03/29?\", \"22 minutes\"], [\"who did I talk to on 2019/03/29?\", \"Nevaeh, Olivia, Layla\"], [\"Did I talk to Nevaeh, Olivia, Layla on 2019/03/29?\", \"yes\"], [\"Did I talk to anyone on 2019/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14070\", \"logical_representation\": [\"2019/03/29\", \"Avery, Nevaeh, Layla\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Avery, Nevaeh, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Layla in the early afternoon on 2019/03/29?\", \"44 minutes\"], [\"who did I talk to on 2019/03/29?\", \"Avery, Nevaeh, Layla\"], [\"Did I talk to Avery, Nevaeh, Layla on 2019/03/29?\", \"yes\"], [\"Did I talk to anyone on 2019/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/01\": {\"lunch\": {\"eid\": \"e14080\", \"logical_representation\": [\"2019/04/01\", \"lunch\", \"tacos\", \"Rylee, Avery, Layla, Nevaeh, Olivia\"], \"text_template_based\": \"I had lunch with Rylee, Avery, Layla, Nevaeh, Olivia. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/01?\", \"Rylee, Avery, Layla, Nevaeh, Olivia\"], [\"what did I eat for lunch on 2019/04/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14081\", \"logical_representation\": [\"2019/04/01\", \"dinner\", \"a burger\", \"Piper, Rylee, Avery, Claire, Piper, Kinsley, Nevaeh, Eva\"], \"text_template_based\": \"I had dinner with Piper, Rylee, Avery, Claire, Piper, Kinsley, Nevaeh, Eva. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/04/01?\", \"Piper, Rylee, Avery, Claire, Piper, Kinsley, Nevaeh, Eva\"], [\"what did I eat for dinner on 2019/04/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14082\", \"logical_representation\": [\"2019/04/01\", \"Olivia, Hazel, Piper\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Olivia, Hazel, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Piper in the late afternoon on 2019/04/01?\", \"44 minutes\"], [\"who did I talk to on 2019/04/01?\", \"Olivia, Hazel, Piper\"], [\"Did I talk to Olivia, Hazel, Piper on 2019/04/01?\", \"yes\"], [\"Did I talk to anyone on 2019/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/02\": {\"breakfast\": {\"eid\": \"e14083\", \"logical_representation\": [\"2019/04/02\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Eva\"], \"text_template_based\": \"I had breakfast with Lydia, Eva. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/04/02?\", \"Lydia, Eva\"], [\"what did I eat for breakfast on 2019/04/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14084\", \"logical_representation\": [\"2019/04/02\", \"lunch\", \"tacos\", \"Rylee, Hazel, Piper, Piper, Claire, Avery, Kinsley, Nevaeh, Nora, Eva, Olivia, Layla, Lydia\"], \"text_template_based\": \"I had lunch with Rylee, Hazel, Piper, Piper, Claire, Avery, Kinsley, Nevaeh, Nora, Eva, Olivia, Layla, Lydia. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/02?\", \"Rylee, Hazel, Piper, Piper, Claire, Avery, Kinsley, Nevaeh, Nora, Eva, Olivia, Layla, Lydia\"], [\"what did I eat for lunch on 2019/04/02\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2019/04/03\": {\"exercise\": {\"eid\": \"e14085\", \"logical_representation\": [\"2019/04/03\", \"biking\"], \"text_template_based\": \"I did biking on 2019/04/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14086\", \"logical_representation\": [\"2019/04/03\", \"dinner\", \"fish and chips\", \"Avery, Benjamin\"], \"text_template_based\": \"I had dinner with Avery, Benjamin. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/04/03?\", \"Avery, Benjamin\"], [\"what did I eat for dinner on 2019/04/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14087\", \"logical_representation\": [\"2019/04/03\", \"Nora, Kinsley\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Nora, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley in the late afternoon on 2019/04/03?\", \"54 minutes\"], [\"who did I talk to on 2019/04/03?\", \"Nora, Kinsley\"], [\"Did I talk to Nora, Kinsley on 2019/04/03?\", \"yes\"], [\"Did I talk to anyone on 2019/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14088\", \"logical_representation\": [\"2019/04/03\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/04/03?\", \"21 minutes\"], [\"what did I read on 2019/04/03?\", \"social media\"], [\"Did I read on 2019/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/04\": {\"lunch\": {\"eid\": \"e14089\", \"logical_representation\": [\"2019/04/04\", \"lunch\", \"a burger\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/04/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14090\", \"logical_representation\": [\"2019/04/04\", \"dinner\", \"sushi\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/04/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14091\", \"logical_representation\": [\"2019/04/04\", \"Layla, Olivia, Hazel\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I talked to Layla, Olivia, Hazel for 43 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia, Hazel during lunch hours on 2019/04/04?\", \"43 minutes\"], [\"who did I talk to on 2019/04/04?\", \"Layla, Olivia, Hazel\"], [\"Did I talk to Layla, Olivia, Hazel on 2019/04/04?\", \"yes\"], [\"Did I talk to anyone on 2019/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14092\", \"logical_representation\": [\"2019/04/04\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/04/04?\", \"23 minutes\"], [\"what did I read on 2019/04/04?\", \"news\"], [\"Did I read on 2019/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14093\", \"logical_representation\": [\"2019/04/04\", \"a tv series\", \"38 minutes\"], \"text_template_based\": \"I watched a tv series for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/04?\", \"38 minutes\"], [\"what did I watch on tv on 2019/04/04?\", \"a tv series\"], [\"Did I watch tv on 2019/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/05\": {\"breakfast\": {\"eid\": \"e14094\", \"logical_representation\": [\"2019/04/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Hazel, Piper, Nora, Olivia, Avery\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/04/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14095\", \"logical_representation\": [\"2019/04/05\", \"lunch\", \"sushi\", \"Emily, Kayden\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/04/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14096\", \"logical_representation\": [\"2019/04/05\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/05?\", \"37 minutes\"], [\"what did I watch on tv on 2019/04/05?\", \"a documentary\"], [\"Did I watch tv on 2019/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/06\": {\"exercise\": {\"eid\": \"e14097\", \"logical_representation\": [\"2019/04/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/04/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14098\", \"logical_representation\": [\"2019/04/06\", \"lunch\", \"tacos\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/06?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2019/04/06\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2019/04/07\": {\"lunch\": {\"eid\": \"e14099\", \"logical_representation\": [\"2019/04/07\", \"lunch\", \"pasta\", \"Nora, Piper, Layla, Rylee, Olivia, Claire, Avery, Lydia\"], \"text_template_based\": \"I had lunch with Nora, Piper, Layla, Rylee, Olivia, Claire, Avery, Lydia. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/07?\", \"Nora, Piper, Layla, Rylee, Olivia, Claire, Avery, Lydia\"], [\"what did I eat for lunch on 2019/04/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14100\", \"logical_representation\": [\"2019/04/07\", \"dinner\", \"pasta\", \"Kayden, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Carter. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/04/07?\", \"Kayden, Carter\"], [\"what did I eat for dinner on 2019/04/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14101\", \"logical_representation\": [\"2019/04/07\", \"Avery, Nevaeh, Lydia, Rylee\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Avery, Nevaeh, Lydia, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Lydia, Rylee in the late afternoon on 2019/04/07?\", \"53 minutes\"], [\"who did I talk to on 2019/04/07?\", \"Avery, Nevaeh, Lydia, Rylee\"], [\"Did I talk to Avery, Nevaeh, Lydia, Rylee on 2019/04/07?\", \"yes\"], [\"Did I talk to anyone on 2019/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14102\", \"logical_representation\": [\"2019/04/07\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/04/07?\", \"39 minutes\"], [\"what did I read on 2019/04/07?\", \"social media\"], [\"Did I read on 2019/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/09\": {\"exercise\": {\"eid\": \"e14108\", \"logical_representation\": [\"2019/04/09\", \"biking\"], \"text_template_based\": \"I did biking on 2019/04/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14109\", \"logical_representation\": [\"2019/04/09\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had a burger for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/04/09?\", \"Emily\"], [\"what did I eat for dinner on 2019/04/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14110\", \"logical_representation\": [\"2019/04/09\", \"Lydia\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Lydia for 36 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2019/04/09?\", \"36 minutes\"], [\"who did I talk to on 2019/04/09?\", \"Lydia\"], [\"Did I talk to Lydia on 2019/04/09?\", \"yes\"], [\"Did I talk to anyone on 2019/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14111\", \"logical_representation\": [\"2019/04/09\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/09?\", \"40 minutes\"], [\"what did I watch on tv on 2019/04/09?\", \"a tv series\"], [\"Did I watch tv on 2019/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/10\": {\"breakfast\": {\"eid\": \"e14112\", \"logical_representation\": [\"2019/04/10\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/04/10?\", \"Emily, Andrew, Carter\"], [\"what did I eat for breakfast on 2019/04/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14113\", \"logical_representation\": [\"2019/04/10\", \"lunch\", \"tacos\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/04/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14114\", \"logical_representation\": [\"2019/04/10\", \"Lydia\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2019/04/10?\", \"17 minutes\"], [\"who did I talk to on 2019/04/10?\", \"Lydia\"], [\"Did I talk to Lydia on 2019/04/10?\", \"yes\"], [\"Did I talk to anyone on 2019/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14115\", \"logical_representation\": [\"2019/04/10\", \"Nevaeh, Piper\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Nevaeh, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper in the early afternoon on 2019/04/10?\", \"27 minutes\"], [\"who did I talk to on 2019/04/10?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2019/04/10?\", \"yes\"], [\"Did I talk to anyone on 2019/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14116\", \"logical_representation\": [\"2019/04/10\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/04/10?\", \"39 minutes\"], [\"what did I read on 2019/04/10?\", \"news\"], [\"Did I read on 2019/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/11\": {\"exercise\": {\"eid\": \"e14117\", \"logical_representation\": [\"2019/04/11\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/04/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/11?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14118\", \"logical_representation\": [\"2019/04/11\", \"Nora\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I talked to Nora for 39 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2019/04/11?\", \"39 minutes\"], [\"who did I talk to on 2019/04/11?\", \"Nora\"], [\"Did I talk to Nora on 2019/04/11?\", \"yes\"], [\"Did I talk to anyone on 2019/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14119\", \"logical_representation\": [\"2019/04/11\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/11?\", \"48 minutes\"], [\"what did I watch on tv on 2019/04/11?\", \"news\"], [\"Did I watch tv on 2019/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/12\": {\"lunch\": {\"eid\": \"e14120\", \"logical_representation\": [\"2019/04/12\", \"lunch\", \"steak\", \"Jackson, Avery\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/04/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14121\", \"logical_representation\": [\"2019/04/12\", \"dinner\", \"chinese food\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had chinese food for dinner with Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/04/12?\", \"Emily, Kayden, Carter\"], [\"what did I eat for dinner on 2019/04/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14122\", \"logical_representation\": [\"2019/04/12\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/04/12?\", \"11 minutes\"], [\"what did I read on 2019/04/12?\", \"news\"], [\"Did I read on 2019/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/14\": {\"breakfast\": {\"eid\": \"e14124\", \"logical_representation\": [\"2019/04/14\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Emily, Kayden. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/04/14?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2019/04/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14125\", \"logical_representation\": [\"2019/04/14\", \"dinner\", \"indian food\", \"Piper, Nevaeh, Rylee, Hazel, Kinsley\"], \"text_template_based\": \"I had dinner with Piper, Nevaeh, Rylee, Hazel, Kinsley. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/04/14?\", \"Piper, Nevaeh, Rylee, Hazel, Kinsley\"], [\"what did I eat for dinner on 2019/04/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14126\", \"logical_representation\": [\"2019/04/14\", \"Nevaeh\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 41 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2019/04/14?\", \"41 minutes\"], [\"who did I talk to on 2019/04/14?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2019/04/14?\", \"yes\"], [\"Did I talk to anyone on 2019/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/15\": {\"dinner\": {\"eid\": \"e14127\", \"logical_representation\": [\"2019/04/15\", \"dinner\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/04/15?\", \"Emily\"], [\"what did I eat for dinner on 2019/04/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14128\", \"logical_representation\": [\"2019/04/15\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/04/15?\", \"44 minutes\"], [\"what did I read on 2019/04/15?\", \"news\"], [\"Did I read on 2019/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/16\": {\"breakfast\": {\"eid\": \"e14129\", \"logical_representation\": [\"2019/04/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/04/16?\", \"Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2019/04/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14130\", \"logical_representation\": [\"2019/04/16\", \"lunch\", \"sushi\", \"Nevaeh, Rylee, Claire, Avery, Olivia, Eva\"], \"text_template_based\": \"I had lunch with Nevaeh, Rylee, Claire, Avery, Olivia, Eva. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/16?\", \"Nevaeh, Rylee, Claire, Avery, Olivia, Eva\"], [\"what did I eat for lunch on 2019/04/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14131\", \"logical_representation\": [\"2019/04/16\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/04/16?\", \"31 minutes\"], [\"what did I read on 2019/04/16?\", \"news\"], [\"Did I read on 2019/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/18\": {\"exercise\": {\"eid\": \"e14134\", \"logical_representation\": [\"2019/04/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/04/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14135\", \"logical_representation\": [\"2019/04/18\", \"Claire, Layla, Avery\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Claire, Layla, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Avery in the late afternoon on 2019/04/18?\", \"53 minutes\"], [\"who did I talk to on 2019/04/18?\", \"Claire, Layla, Avery\"], [\"Did I talk to Claire, Layla, Avery on 2019/04/18?\", \"yes\"], [\"Did I talk to anyone on 2019/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14136\", \"logical_representation\": [\"2019/04/18\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/04/18?\", \"42 minutes\"], [\"what did I read on 2019/04/18?\", \"social media\"], [\"Did I read on 2019/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/21\": {\"lunch\": {\"eid\": \"e14146\", \"logical_representation\": [\"2019/04/21\", \"lunch\", \"chinese food\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/04/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14147\", \"logical_representation\": [\"2019/04/21\", \"Olivia, Nevaeh, Layla\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Olivia, Nevaeh, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh, Layla in the early afternoon on 2019/04/21?\", \"47 minutes\"], [\"who did I talk to on 2019/04/21?\", \"Olivia, Nevaeh, Layla\"], [\"Did I talk to Olivia, Nevaeh, Layla on 2019/04/21?\", \"yes\"], [\"Did I talk to anyone on 2019/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14148\", \"logical_representation\": [\"2019/04/21\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/04/21?\", \"11 minutes\"], [\"what did I read on 2019/04/21?\", \"news\"], [\"Did I read on 2019/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14149\", \"logical_representation\": [\"2019/04/21\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/21?\", \"17 minutes\"], [\"what did I watch on tv on 2019/04/21?\", \"a tv series\"], [\"Did I watch tv on 2019/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/22\": {\"lunch\": {\"eid\": \"e14150\", \"logical_representation\": [\"2019/04/22\", \"lunch\", \"tacos\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had lunch with Benjamin, Jackson, Willow. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/22?\", \"Benjamin, Jackson, Willow\"], [\"what did I eat for lunch on 2019/04/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14151\", \"logical_representation\": [\"2019/04/22\", \"dinner\", \"sandwich\", \"Andrew, Emily\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/04/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14152\", \"logical_representation\": [\"2019/04/22\", \"Claire, Hazel\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Claire, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel in the early afternoon on 2019/04/22?\", \"10 minutes\"], [\"who did I talk to on 2019/04/22?\", \"Claire, Hazel\"], [\"Did I talk to Claire, Hazel on 2019/04/22?\", \"yes\"], [\"Did I talk to anyone on 2019/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14153\", \"logical_representation\": [\"2019/04/22\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I watched a tv series for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/22?\", \"22 minutes\"], [\"what did I watch on tv on 2019/04/22?\", \"a tv series\"], [\"Did I watch tv on 2019/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/23\": {\"breakfast\": {\"eid\": \"e14154\", \"logical_representation\": [\"2019/04/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/04/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14155\", \"logical_representation\": [\"2019/04/23\", \"lunch\", \"sushi\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Emily, Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/23?\", \"Carter, Emily, Andrew\"], [\"what did I eat for lunch on 2019/04/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14156\", \"logical_representation\": [\"2019/04/23\", \"Avery\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Avery for 51 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early afternoon on 2019/04/23?\", \"51 minutes\"], [\"who did I talk to on 2019/04/23?\", \"Avery\"], [\"Did I talk to Avery on 2019/04/23?\", \"yes\"], [\"Did I talk to anyone on 2019/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14157\", \"logical_representation\": [\"2019/04/23\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/04/23?\", \"12 minutes\"], [\"what did I read on 2019/04/23?\", \"news\"], [\"Did I read on 2019/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/24\": {\"exercise\": {\"eid\": \"e14158\", \"logical_representation\": [\"2019/04/24\", \"biking\"], \"text_template_based\": \"I did biking on 2019/04/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14159\", \"logical_representation\": [\"2019/04/24\", \"lunch\", \"chinese food\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/04/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14160\", \"logical_representation\": [\"2019/04/24\", \"Eva, Nevaeh, Piper\", \"during lunch hours\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Eva, Nevaeh, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Piper during lunch hours on 2019/04/24?\", \"15 minutes\"], [\"who did I talk to on 2019/04/24?\", \"Eva, Nevaeh, Piper\"], [\"Did I talk to Eva, Nevaeh, Piper on 2019/04/24?\", \"yes\"], [\"Did I talk to anyone on 2019/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/25\": {\"chat0\": {\"eid\": \"e14161\", \"logical_representation\": [\"2019/04/25\", \"Hazel\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2019/04/25?\", \"21 minutes\"], [\"who did I talk to on 2019/04/25?\", \"Hazel\"], [\"Did I talk to Hazel on 2019/04/25?\", \"yes\"], [\"Did I talk to anyone on 2019/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14162\", \"logical_representation\": [\"2019/04/25\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/04/25?\", \"51 minutes\"], [\"what did I read on 2019/04/25?\", \"a book\"], [\"Did I read on 2019/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14163\", \"logical_representation\": [\"2019/04/25\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I watched a documentary for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/25?\", \"39 minutes\"], [\"what did I watch on tv on 2019/04/25?\", \"a documentary\"], [\"Did I watch tv on 2019/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/26\": {\"exercise\": {\"eid\": \"e14164\", \"logical_representation\": [\"2019/04/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/04/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14165\", \"logical_representation\": [\"2019/04/26\", \"breakfast\", \"toast and cheese\", \"Rylee, Lydia, Olivia, Hazel, Nora, Piper, Eva, Claire, Piper, Kinsley, Avery, Nevaeh\"], \"text_template_based\": \"I had toast and cheese for breakfast with Rylee, Lydia, Olivia, Hazel, Nora, Piper, Eva, Claire, Piper, Kinsley, Avery, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/04/26?\", \"Rylee, Lydia, Olivia, Hazel, Nora, Piper, Eva, Claire, Piper, Kinsley, Avery, Nevaeh\"], [\"what did I eat for breakfast on 2019/04/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14166\", \"logical_representation\": [\"2019/04/26\", \"lunch\", \"indian food\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had indian food for lunch with Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/26?\", \"Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2019/04/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14167\", \"logical_representation\": [\"2019/04/26\", \"dinner\", \"steak\", \"Nora, Piper, Rylee, Olivia, Piper, Kinsley, Hazel, Nevaeh, Layla, Eva, Avery, Lydia, Claire\"], \"text_template_based\": \"I had dinner with Nora, Piper, Rylee, Olivia, Piper, Kinsley, Hazel, Nevaeh, Layla, Eva, Avery, Lydia, Claire. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/04/26?\", \"Nora, Piper, Rylee, Olivia, Piper, Kinsley, Hazel, Nevaeh, Layla, Eva, Avery, Lydia, Claire\"], [\"what did I eat for dinner on 2019/04/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14168\", \"logical_representation\": [\"2019/04/26\", \"Nevaeh\", \"during lunch hours\", \"22 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 22 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh during lunch hours on 2019/04/26?\", \"22 minutes\"], [\"who did I talk to on 2019/04/26?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2019/04/26?\", \"yes\"], [\"Did I talk to anyone on 2019/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14169\", \"logical_representation\": [\"2019/04/26\", \"Piper\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper for 43 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2019/04/26?\", \"43 minutes\"], [\"who did I talk to on 2019/04/26?\", \"Piper\"], [\"Did I talk to Piper on 2019/04/26?\", \"yes\"], [\"Did I talk to anyone on 2019/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14170\", \"logical_representation\": [\"2019/04/26\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/04/26?\", \"17 minutes\"], [\"what did I read on 2019/04/26?\", \"a book\"], [\"Did I read on 2019/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/27\": {\"breakfast\": {\"eid\": \"e14171\", \"logical_representation\": [\"2019/04/27\", \"breakfast\", \"pancakes\", \"Benjamin, Avery\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/04/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14172\", \"logical_representation\": [\"2019/04/27\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had tacos for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/27?\", \"Emily\"], [\"what did I eat for lunch on 2019/04/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14173\", \"logical_representation\": [\"2019/04/27\", \"dinner\", \"fish and chips\", \"Jackson, Avery\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/04/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14174\", \"logical_representation\": [\"2019/04/27\", \"Eva, Piper, Hazel\", \"late in the evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Eva, Piper, Hazel for 50 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Hazel late in the evening on 2019/04/27?\", \"50 minutes\"], [\"who did I talk to on 2019/04/27?\", \"Eva, Piper, Hazel\"], [\"Did I talk to Eva, Piper, Hazel on 2019/04/27?\", \"yes\"], [\"Did I talk to anyone on 2019/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14175\", \"logical_representation\": [\"2019/04/27\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/04/27?\", \"32 minutes\"], [\"what did I read on 2019/04/27?\", \"news\"], [\"Did I read on 2019/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14176\", \"logical_representation\": [\"2019/04/27\", \"news\", \"49 minutes\"], \"text_template_based\": \"I watched news for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/27?\", \"49 minutes\"], [\"what did I watch on tv on 2019/04/27?\", \"news\"], [\"Did I watch tv on 2019/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/28\": {\"breakfast\": {\"eid\": \"e14177\", \"logical_representation\": [\"2019/04/28\", \"breakfast\", \"toast and cheese\", \"Avery, Olivia, Hazel, Piper, Kinsley, Claire, Piper, Lydia, Layla, Rylee, Nevaeh\"], \"text_template_based\": \"I had toast and cheese for breakfast with Avery, Olivia, Hazel, Piper, Kinsley, Claire, Piper, Lydia, Layla, Rylee, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/04/28?\", \"Avery, Olivia, Hazel, Piper, Kinsley, Claire, Piper, Lydia, Layla, Rylee, Nevaeh\"], [\"what did I eat for breakfast on 2019/04/28\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14178\", \"logical_representation\": [\"2019/04/28\", \"lunch\", \"sushi\", \"Willow\"], \"text_template_based\": \"I had lunch with Willow. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/28?\", \"Willow\"], [\"what did I eat for lunch on 2019/04/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14179\", \"logical_representation\": [\"2019/04/28\", \"dinner\", \"pasta\", \"Carter, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/04/28\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14180\", \"logical_representation\": [\"2019/04/28\", \"Claire, Layla, Nora\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Claire, Layla, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Nora during lunch hours on 2019/04/28?\", \"41 minutes\"], [\"who did I talk to on 2019/04/28?\", \"Claire, Layla, Nora\"], [\"Did I talk to Claire, Layla, Nora on 2019/04/28?\", \"yes\"], [\"Did I talk to anyone on 2019/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/30\": {\"exercise\": {\"eid\": \"e14184\", \"logical_representation\": [\"2019/04/30\", \"biking\"], \"text_template_based\": \"I did biking on 2019/04/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14185\", \"logical_representation\": [\"2019/04/30\", \"breakfast\", \"oatmeal\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/04/30\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14186\", \"logical_representation\": [\"2019/04/30\", \"dinner\", \"tacos\", \"Piper, Olivia\"], \"text_template_based\": \"I had dinner with Piper, Olivia. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/04/30?\", \"Piper, Olivia\"], [\"what did I eat for dinner on 2019/04/30\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14187\", \"logical_representation\": [\"2019/04/30\", \"Olivia, Rylee, Avery\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Olivia, Rylee, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee, Avery in the early afternoon on 2019/04/30?\", \"12 minutes\"], [\"who did I talk to on 2019/04/30?\", \"Olivia, Rylee, Avery\"], [\"Did I talk to Olivia, Rylee, Avery on 2019/04/30?\", \"yes\"], [\"Did I talk to anyone on 2019/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14188\", \"logical_representation\": [\"2019/04/30\", \"news\", \"42 minutes\"], \"text_template_based\": \"I watched news for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/30?\", \"42 minutes\"], [\"what did I watch on tv on 2019/04/30?\", \"news\"], [\"Did I watch tv on 2019/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/01\": {\"exercise\": {\"eid\": \"e14189\", \"logical_representation\": [\"2019/05/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/05/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14190\", \"logical_representation\": [\"2019/05/01\", \"Olivia, Lydia\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I talked to Olivia, Lydia for 39 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia during lunch hours on 2019/05/01?\", \"39 minutes\"], [\"who did I talk to on 2019/05/01?\", \"Olivia, Lydia\"], [\"Did I talk to Olivia, Lydia on 2019/05/01?\", \"yes\"], [\"Did I talk to anyone on 2019/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14191\", \"logical_representation\": [\"2019/05/01\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/05/01?\", \"39 minutes\"], [\"what did I read on 2019/05/01?\", \"news\"], [\"Did I read on 2019/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14192\", \"logical_representation\": [\"2019/05/01\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I watched a movie for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/01?\", \"18 minutes\"], [\"what did I watch on tv on 2019/05/01?\", \"a movie\"], [\"Did I watch tv on 2019/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/04\": {\"lunch\": {\"eid\": \"e14202\", \"logical_representation\": [\"2019/05/04\", \"lunch\", \"pasta\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/05/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14203\", \"logical_representation\": [\"2019/05/04\", \"dinner\", \"sandwich\", \"Eva, Avery\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/05/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14204\", \"logical_representation\": [\"2019/05/04\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/05/04?\", \"42 minutes\"], [\"what did I read on 2019/05/04?\", \"news\"], [\"Did I read on 2019/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14205\", \"logical_representation\": [\"2019/05/04\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/04?\", \"45 minutes\"], [\"what did I watch on tv on 2019/05/04?\", \"news\"], [\"Did I watch tv on 2019/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/05\": {\"exercise\": {\"eid\": \"e14206\", \"logical_representation\": [\"2019/05/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/05/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14207\", \"logical_representation\": [\"2019/05/05\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14208\", \"logical_representation\": [\"2019/05/05\", \"lunch\", \"chinese food\", \"Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Andrew. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/05/05?\", \"Kayden, Andrew\"], [\"what did I eat for lunch on 2019/05/05\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14209\", \"logical_representation\": [\"2019/05/05\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/05/05?\", \"35 minutes\"], [\"what did I read on 2019/05/05?\", \"news\"], [\"Did I read on 2019/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/06\": {\"dinner\": {\"eid\": \"e14210\", \"logical_representation\": [\"2019/05/06\", \"dinner\", \"sushi\", \"Kinsley, Hazel, Lydia\"], \"text_template_based\": \"I had sushi for dinner with Kinsley, Hazel, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/06?\", \"Kinsley, Hazel, Lydia\"], [\"what did I eat for dinner on 2019/05/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14211\", \"logical_representation\": [\"2019/05/06\", \"Avery, Nevaeh\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Avery, Nevaeh for 34 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh late in the evening on 2019/05/06?\", \"34 minutes\"], [\"who did I talk to on 2019/05/06?\", \"Avery, Nevaeh\"], [\"Did I talk to Avery, Nevaeh on 2019/05/06?\", \"yes\"], [\"Did I talk to anyone on 2019/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/07\": {\"breakfast\": {\"eid\": \"e14212\", \"logical_representation\": [\"2019/05/07\", \"breakfast\", \"cereals\", \"Piper, Lydia, Kinsley, Nevaeh, Olivia, Nora, Layla\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14213\", \"logical_representation\": [\"2019/05/07\", \"lunch\", \"steak\", \"Layla, Eva, Claire, Piper, Hazel, Piper, Lydia, Avery\"], \"text_template_based\": \"I had steak for lunch with Layla, Eva, Claire, Piper, Hazel, Piper, Lydia, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/05/07?\", \"Layla, Eva, Claire, Piper, Hazel, Piper, Lydia, Avery\"], [\"what did I eat for lunch on 2019/05/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14214\", \"logical_representation\": [\"2019/05/07\", \"dinner\", \"sushi\", \"Willow, Jackson\"], \"text_template_based\": \"I had dinner with Willow, Jackson. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/07?\", \"Willow, Jackson\"], [\"what did I eat for dinner on 2019/05/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14215\", \"logical_representation\": [\"2019/05/07\", \"Avery, Eva, Hazel\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I talked to Avery, Eva, Hazel for 38 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Hazel during lunch hours on 2019/05/07?\", \"38 minutes\"], [\"who did I talk to on 2019/05/07?\", \"Avery, Eva, Hazel\"], [\"Did I talk to Avery, Eva, Hazel on 2019/05/07?\", \"yes\"], [\"Did I talk to anyone on 2019/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/08\": {\"exercise\": {\"eid\": \"e14216\", \"logical_representation\": [\"2019/05/08\", \"running\"], \"text_template_based\": \"I did running on 2019/05/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14217\", \"logical_representation\": [\"2019/05/08\", \"lunch\", \"tacos\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I had tacos for lunch with Willow, Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/05/08?\", \"Willow, Benjamin, Avery\"], [\"what did I eat for lunch on 2019/05/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14218\", \"logical_representation\": [\"2019/05/08\", \"a documentary\", \"5 minutes\"], \"text_template_based\": \"I watched a documentary for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/08?\", \"5 minutes\"], [\"what did I watch on tv on 2019/05/08?\", \"a documentary\"], [\"Did I watch tv on 2019/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/10\": {\"breakfast\": {\"eid\": \"e14221\", \"logical_representation\": [\"2019/05/10\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery\"], \"text_template_based\": \"I had breakfast with Avery. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/05/10?\", \"Avery\"], [\"what did I eat for breakfast on 2019/05/10\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14222\", \"logical_representation\": [\"2019/05/10\", \"dinner\", \"chinese food\", \"Kinsley, Nevaeh, Olivia, Nora, Piper, Eva, Rylee, Claire, Lydia\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/05/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14223\", \"logical_representation\": [\"2019/05/10\", \"Avery, Layla, Claire, Kinsley\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Avery, Layla, Claire, Kinsley for 33 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Claire, Kinsley in the late afternoon on 2019/05/10?\", \"33 minutes\"], [\"who did I talk to on 2019/05/10?\", \"Avery, Layla, Claire, Kinsley\"], [\"Did I talk to Avery, Layla, Claire, Kinsley on 2019/05/10?\", \"yes\"], [\"Did I talk to anyone on 2019/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14224\", \"logical_representation\": [\"2019/05/10\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/05/10?\", \"9 minutes\"], [\"what did I read on 2019/05/10?\", \"a book\"], [\"Did I read on 2019/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14225\", \"logical_representation\": [\"2019/05/10\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I watched a documentary for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/10?\", \"37 minutes\"], [\"what did I watch on tv on 2019/05/10?\", \"a documentary\"], [\"Did I watch tv on 2019/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/11\": {\"exercise\": {\"eid\": \"e14226\", \"logical_representation\": [\"2019/05/11\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/05/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/11?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14227\", \"logical_representation\": [\"2019/05/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/05/11?\", \"Benjamin, Willow, Jackson, Avery\"], [\"what did I eat for breakfast on 2019/05/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14228\", \"logical_representation\": [\"2019/05/11\", \"dinner\", \"tacos\", \"Claire, Lydia, Avery, Nevaeh, Eva, Kinsley, Nora, Hazel, Rylee, Layla\"], \"text_template_based\": \"I had dinner with Claire, Lydia, Avery, Nevaeh, Eva, Kinsley, Nora, Hazel, Rylee, Layla. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/11?\", \"Claire, Lydia, Avery, Nevaeh, Eva, Kinsley, Nora, Hazel, Rylee, Layla\"], [\"what did I eat for dinner on 2019/05/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14229\", \"logical_representation\": [\"2019/05/11\", \"news\", \"48 minutes\"], \"text_template_based\": \"I watched news for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/11?\", \"48 minutes\"], [\"what did I watch on tv on 2019/05/11?\", \"news\"], [\"Did I watch tv on 2019/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/14\": {\"breakfast\": {\"eid\": \"e14238\", \"logical_representation\": [\"2019/05/14\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14239\", \"logical_representation\": [\"2019/05/14\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/05/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14240\", \"logical_representation\": [\"2019/05/14\", \"Hazel, Piper\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Hazel, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper in the late afternoon on 2019/05/14?\", \"37 minutes\"], [\"who did I talk to on 2019/05/14?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2019/05/14?\", \"yes\"], [\"Did I talk to anyone on 2019/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14241\", \"logical_representation\": [\"2019/05/14\", \"Avery, Rylee, Lydia\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Avery, Rylee, Lydia for 52 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee, Lydia in the early evening on 2019/05/14?\", \"52 minutes\"], [\"who did I talk to on 2019/05/14?\", \"Avery, Rylee, Lydia\"], [\"Did I talk to Avery, Rylee, Lydia on 2019/05/14?\", \"yes\"], [\"Did I talk to anyone on 2019/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14242\", \"logical_representation\": [\"2019/05/14\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I watched a documentary for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/14?\", \"50 minutes\"], [\"what did I watch on tv on 2019/05/14?\", \"a documentary\"], [\"Did I watch tv on 2019/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/15\": {\"breakfast\": {\"eid\": \"e14243\", \"logical_representation\": [\"2019/05/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/05/15?\", \"Andrew\"], [\"what did I eat for breakfast on 2019/05/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14244\", \"logical_representation\": [\"2019/05/15\", \"lunch\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/05/15?\", \"Andrew\"], [\"what did I eat for lunch on 2019/05/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14245\", \"logical_representation\": [\"2019/05/15\", \"dinner\", \"chinese food\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had chinese food for dinner with Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/15?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2019/05/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14246\", \"logical_representation\": [\"2019/05/15\", \"Eva\", \"in the early afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2019/05/15?\", \"55 minutes\"], [\"who did I talk to on 2019/05/15?\", \"Eva\"], [\"Did I talk to Eva on 2019/05/15?\", \"yes\"], [\"Did I talk to anyone on 2019/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/16\": {\"breakfast\": {\"eid\": \"e14247\", \"logical_representation\": [\"2019/05/16\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Nevaeh\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14248\", \"logical_representation\": [\"2019/05/16\", \"dinner\", \"a burger\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had dinner with Avery, Benjamin, Jackson. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/16?\", \"Avery, Benjamin, Jackson\"], [\"what did I eat for dinner on 2019/05/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14249\", \"logical_representation\": [\"2019/05/16\", \"Layla, Piper, Eva, Claire\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Eva, Claire for 44 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Eva, Claire during lunch hours on 2019/05/16?\", \"44 minutes\"], [\"who did I talk to on 2019/05/16?\", \"Layla, Piper, Eva, Claire\"], [\"Did I talk to Layla, Piper, Eva, Claire on 2019/05/16?\", \"yes\"], [\"Did I talk to anyone on 2019/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14250\", \"logical_representation\": [\"2019/05/16\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/05/16?\", \"16 minutes\"], [\"what did I read on 2019/05/16?\", \"news\"], [\"Did I read on 2019/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14251\", \"logical_representation\": [\"2019/05/16\", \"a tv series\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/16?\", \"14 minutes\"], [\"what did I watch on tv on 2019/05/16?\", \"a tv series\"], [\"Did I watch tv on 2019/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/17\": {\"exercise\": {\"eid\": \"e14252\", \"logical_representation\": [\"2019/05/17\", \"biking\"], \"text_template_based\": \"I did biking on 2019/05/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14253\", \"logical_representation\": [\"2019/05/17\", \"Piper, Rylee, Piper\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Piper, Rylee, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Piper in the early evening on 2019/05/17?\", \"41 minutes\"], [\"who did I talk to on 2019/05/17?\", \"Piper, Rylee, Piper\"], [\"Did I talk to Piper, Rylee, Piper on 2019/05/17?\", \"yes\"], [\"Did I talk to anyone on 2019/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14254\", \"logical_representation\": [\"2019/05/17\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/05/17?\", \"8 minutes\"], [\"what did I read on 2019/05/17?\", \"a book\"], [\"Did I read on 2019/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14255\", \"logical_representation\": [\"2019/05/17\", \"a movie\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/17?\", \"55 minutes\"], [\"what did I watch on tv on 2019/05/17?\", \"a movie\"], [\"Did I watch tv on 2019/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/18\": {\"breakfast\": {\"eid\": \"e14256\", \"logical_representation\": [\"2019/05/18\", \"breakfast\", \"toast and cheese\", \"Olivia\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14257\", \"logical_representation\": [\"2019/05/18\", \"lunch\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/05/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14258\", \"logical_representation\": [\"2019/05/18\", \"dinner\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had steak for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/18?\", \"Kayden\"], [\"what did I eat for dinner on 2019/05/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14259\", \"logical_representation\": [\"2019/05/18\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/05/18?\", \"18 minutes\"], [\"what did I read on 2019/05/18?\", \"news\"], [\"Did I read on 2019/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14260\", \"logical_representation\": [\"2019/05/18\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I watched a tv series for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/18?\", \"23 minutes\"], [\"what did I watch on tv on 2019/05/18?\", \"a tv series\"], [\"Did I watch tv on 2019/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/19\": {\"exercise\": {\"eid\": \"e14261\", \"logical_representation\": [\"2019/05/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/05/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14262\", \"logical_representation\": [\"2019/05/19\", \"breakfast\", \"pancakes\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/05/19?\", \"Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2019/05/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14263\", \"logical_representation\": [\"2019/05/19\", \"Kinsley, Piper, Avery\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Kinsley, Piper, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Avery in the late afternoon on 2019/05/19?\", \"23 minutes\"], [\"who did I talk to on 2019/05/19?\", \"Kinsley, Piper, Avery\"], [\"Did I talk to Kinsley, Piper, Avery on 2019/05/19?\", \"yes\"], [\"Did I talk to anyone on 2019/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14264\", \"logical_representation\": [\"2019/05/19\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/05/19?\", \"48 minutes\"], [\"what did I read on 2019/05/19?\", \"social media\"], [\"Did I read on 2019/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/20\": {\"lunch\": {\"eid\": \"e14265\", \"logical_representation\": [\"2019/05/20\", \"lunch\", \"chinese food\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/05/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14266\", \"logical_representation\": [\"2019/05/20\", \"Rylee, Lydia\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Rylee, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia in the morning on 2019/05/20?\", \"13 minutes\"], [\"who did I talk to on 2019/05/20?\", \"Rylee, Lydia\"], [\"Did I talk to Rylee, Lydia on 2019/05/20?\", \"yes\"], [\"Did I talk to anyone on 2019/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14267\", \"logical_representation\": [\"2019/05/20\", \"Kinsley, Piper, Avery\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Kinsley, Piper, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Avery late in the evening on 2019/05/20?\", \"38 minutes\"], [\"who did I talk to on 2019/05/20?\", \"Kinsley, Piper, Avery\"], [\"Did I talk to Kinsley, Piper, Avery on 2019/05/20?\", \"yes\"], [\"Did I talk to anyone on 2019/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14268\", \"logical_representation\": [\"2019/05/20\", \"a book\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/05/20?\", \"21 minutes\"], [\"what did I read on 2019/05/20?\", \"a book\"], [\"Did I read on 2019/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14269\", \"logical_representation\": [\"2019/05/20\", \"news\", \"45 minutes\"], \"text_template_based\": \"I watched news for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/20?\", \"45 minutes\"], [\"what did I watch on tv on 2019/05/20?\", \"news\"], [\"Did I watch tv on 2019/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/21\": {\"exercise\": {\"eid\": \"e14270\", \"logical_representation\": [\"2019/05/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/05/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14271\", \"logical_representation\": [\"2019/05/21\", \"lunch\", \"sushi\", \"Jackson\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/05/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14272\", \"logical_representation\": [\"2019/05/21\", \"Nevaeh, Avery, Olivia, Claire\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Nevaeh, Avery, Olivia, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Olivia, Claire in the late afternoon on 2019/05/21?\", \"23 minutes\"], [\"who did I talk to on 2019/05/21?\", \"Nevaeh, Avery, Olivia, Claire\"], [\"Did I talk to Nevaeh, Avery, Olivia, Claire on 2019/05/21?\", \"yes\"], [\"Did I talk to anyone on 2019/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14273\", \"logical_representation\": [\"2019/05/21\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/05/21?\", \"14 minutes\"], [\"what did I read on 2019/05/21?\", \"a book\"], [\"Did I read on 2019/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/22\": {\"breakfast\": {\"eid\": \"e14274\", \"logical_representation\": [\"2019/05/22\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Piper, Claire, Nevaeh\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/22\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14275\", \"logical_representation\": [\"2019/05/22\", \"dinner\", \"pasta\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/05/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14276\", \"logical_representation\": [\"2019/05/22\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/05/22?\", \"33 minutes\"], [\"what did I read on 2019/05/22?\", \"social media\"], [\"Did I read on 2019/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14277\", \"logical_representation\": [\"2019/05/22\", \"a movie\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/22?\", \"42 minutes\"], [\"what did I watch on tv on 2019/05/22?\", \"a movie\"], [\"Did I watch tv on 2019/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/24\": {\"exercise\": {\"eid\": \"e14282\", \"logical_representation\": [\"2019/05/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/05/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14283\", \"logical_representation\": [\"2019/05/24\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/05/24?\", \"Emily\"], [\"what did I eat for breakfast on 2019/05/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14284\", \"logical_representation\": [\"2019/05/24\", \"lunch\", \"sandwich\", \"Eva, Nora, Claire, Lydia, Layla, Avery, Nevaeh, Olivia, Piper, Piper\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/05/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14285\", \"logical_representation\": [\"2019/05/24\", \"dinner\", \"tacos\", \"Avery, Lydia, Olivia, Kinsley, Hazel, Piper, Layla, Claire\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/05/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14286\", \"logical_representation\": [\"2019/05/24\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/05/24?\", \"23 minutes\"], [\"what did I read on 2019/05/24?\", \"social media\"], [\"Did I read on 2019/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/25\": {\"lunch\": {\"eid\": \"e14287\", \"logical_representation\": [\"2019/05/25\", \"lunch\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/05/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14288\", \"logical_representation\": [\"2019/05/25\", \"dinner\", \"sushi\", \"Lydia, Olivia, Layla, Avery, Eva, Piper, Piper, Rylee, Nevaeh, Nora, Claire, Kinsley, Hazel\"], \"text_template_based\": \"I had sushi for dinner with Lydia, Olivia, Layla, Avery, Eva, Piper, Piper, Rylee, Nevaeh, Nora, Claire, Kinsley, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/25?\", \"Lydia, Olivia, Layla, Avery, Eva, Piper, Piper, Rylee, Nevaeh, Nora, Claire, Kinsley, Hazel\"], [\"what did I eat for dinner on 2019/05/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14289\", \"logical_representation\": [\"2019/05/25\", \"Olivia, Piper, Hazel, Piper\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Olivia, Piper, Hazel, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Hazel, Piper during lunch hours on 2019/05/25?\", \"33 minutes\"], [\"who did I talk to on 2019/05/25?\", \"Olivia, Piper, Hazel, Piper\"], [\"Did I talk to Olivia, Piper, Hazel, Piper on 2019/05/25?\", \"yes\"], [\"Did I talk to anyone on 2019/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14290\", \"logical_representation\": [\"2019/05/25\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I watched a movie for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/25?\", \"29 minutes\"], [\"what did I watch on tv on 2019/05/25?\", \"a movie\"], [\"Did I watch tv on 2019/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/26\": {\"exercise\": {\"eid\": \"e14291\", \"logical_representation\": [\"2019/05/26\", \"running\"], \"text_template_based\": \"I did running on 2019/05/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14292\", \"logical_representation\": [\"2019/05/26\", \"lunch\", \"pasta\", \"Piper, Piper, Claire, Nora, Nevaeh\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/05/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14293\", \"logical_representation\": [\"2019/05/26\", \"dinner\", \"sandwich\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/26?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2019/05/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14294\", \"logical_representation\": [\"2019/05/26\", \"Eva\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2019/05/26?\", \"38 minutes\"], [\"who did I talk to on 2019/05/26?\", \"Eva\"], [\"Did I talk to Eva on 2019/05/26?\", \"yes\"], [\"Did I talk to anyone on 2019/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14295\", \"logical_representation\": [\"2019/05/26\", \"Claire, Piper, Nora\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Claire, Piper, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Nora during lunch hours on 2019/05/26?\", \"8 minutes\"], [\"who did I talk to on 2019/05/26?\", \"Claire, Piper, Nora\"], [\"Did I talk to Claire, Piper, Nora on 2019/05/26?\", \"yes\"], [\"Did I talk to anyone on 2019/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14296\", \"logical_representation\": [\"2019/05/26\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/05/26?\", \"43 minutes\"], [\"what did I read on 2019/05/26?\", \"a book\"], [\"Did I read on 2019/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14297\", \"logical_representation\": [\"2019/05/26\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/26?\", \"45 minutes\"], [\"what did I watch on tv on 2019/05/26?\", \"a movie\"], [\"Did I watch tv on 2019/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/28\": {\"exercise\": {\"eid\": \"e14300\", \"logical_representation\": [\"2019/05/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/05/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14301\", \"logical_representation\": [\"2019/05/28\", \"breakfast\", \"pancakes\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14302\", \"logical_representation\": [\"2019/05/28\", \"lunch\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/05/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14303\", \"logical_representation\": [\"2019/05/28\", \"dinner\", \"a burger\", \"Carter\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/05/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14304\", \"logical_representation\": [\"2019/05/28\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I watched a documentary for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/28?\", \"37 minutes\"], [\"what did I watch on tv on 2019/05/28?\", \"a documentary\"], [\"Did I watch tv on 2019/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/29\": {\"dinner\": {\"eid\": \"e14305\", \"logical_representation\": [\"2019/05/29\", \"dinner\", \"sandwich\", \"Hazel, Layla, Nevaeh, Claire, Eva\"], \"text_template_based\": \"I had sandwich for dinner with Hazel, Layla, Nevaeh, Claire, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/29?\", \"Hazel, Layla, Nevaeh, Claire, Eva\"], [\"what did I eat for dinner on 2019/05/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14306\", \"logical_representation\": [\"2019/05/29\", \"Rylee, Layla, Olivia\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Rylee, Layla, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla, Olivia in the early evening on 2019/05/29?\", \"23 minutes\"], [\"who did I talk to on 2019/05/29?\", \"Rylee, Layla, Olivia\"], [\"Did I talk to Rylee, Layla, Olivia on 2019/05/29?\", \"yes\"], [\"Did I talk to anyone on 2019/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14307\", \"logical_representation\": [\"2019/05/29\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/05/29?\", \"36 minutes\"], [\"what did I read on 2019/05/29?\", \"news\"], [\"Did I read on 2019/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/30\": {\"exercise\": {\"eid\": \"e14308\", \"logical_representation\": [\"2019/05/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/05/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14309\", \"logical_representation\": [\"2019/05/30\", \"lunch\", \"fish and chips\", \"Nevaeh, Hazel, Avery, Rylee, Piper, Piper, Layla, Lydia, Nora, Kinsley, Olivia\"], \"text_template_based\": \"I had fish and chips for lunch with Nevaeh, Hazel, Avery, Rylee, Piper, Piper, Layla, Lydia, Nora, Kinsley, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/05/30?\", \"Nevaeh, Hazel, Avery, Rylee, Piper, Piper, Layla, Lydia, Nora, Kinsley, Olivia\"], [\"what did I eat for lunch on 2019/05/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2019/05/31\": {\"breakfast\": {\"eid\": \"e14310\", \"logical_representation\": [\"2019/05/31\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/31\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14311\", \"logical_representation\": [\"2019/05/31\", \"dinner\", \"a burger\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/05/31\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14312\", \"logical_representation\": [\"2019/05/31\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/05/31?\", \"27 minutes\"], [\"what did I read on 2019/05/31?\", \"a book\"], [\"Did I read on 2019/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/02\": {\"chat1\": {\"eid\": \"e14318\", \"logical_representation\": [\"2019/06/02\", \"Avery, Kinsley, Lydia\", \"in the morning\", \"25 minutes\"], \"text_template_based\": \"I talked to Avery, Kinsley, Lydia for 25 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley, Lydia in the morning on 2019/06/02?\", \"25 minutes\"], [\"who did I talk to on 2019/06/02?\", \"Avery, Kinsley, Lydia\"], [\"Did I talk to Avery, Kinsley, Lydia on 2019/06/02?\", \"yes\"], [\"Did I talk to anyone on 2019/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14319\", \"logical_representation\": [\"2019/06/02\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/06/02?\", \"7 minutes\"], [\"what did I read on 2019/06/02?\", \"a book\"], [\"Did I read on 2019/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/03\": {\"exercise\": {\"eid\": \"e14320\", \"logical_representation\": [\"2019/06/03\", \"running\"], \"text_template_based\": \"I did running on 2019/06/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14321\", \"logical_representation\": [\"2019/06/03\", \"dinner\", \"fish and chips\", \"Eva, Kinsley, Piper, Rylee, Claire, Piper, Olivia, Hazel, Avery\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/06/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14322\", \"logical_representation\": [\"2019/06/03\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/06/03?\", \"48 minutes\"], [\"what did I read on 2019/06/03?\", \"a book\"], [\"Did I read on 2019/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14323\", \"logical_representation\": [\"2019/06/03\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I watched a movie for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/03?\", \"21 minutes\"], [\"what did I watch on tv on 2019/06/03?\", \"a movie\"], [\"Did I watch tv on 2019/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/04\": {\"lunch\": {\"eid\": \"e14324\", \"logical_representation\": [\"2019/06/04\", \"lunch\", \"tacos\", \"Kayden, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/06/04?\", \"Kayden, Carter\"], [\"what did I eat for lunch on 2019/06/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14325\", \"logical_representation\": [\"2019/06/04\", \"Piper, Olivia, Rylee, Nevaeh\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Piper, Olivia, Rylee, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Rylee, Nevaeh in the morning on 2019/06/04?\", \"20 minutes\"], [\"who did I talk to on 2019/06/04?\", \"Piper, Olivia, Rylee, Nevaeh\"], [\"Did I talk to Piper, Olivia, Rylee, Nevaeh on 2019/06/04?\", \"yes\"], [\"Did I talk to anyone on 2019/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14326\", \"logical_representation\": [\"2019/06/04\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/06/04?\", \"42 minutes\"], [\"what did I read on 2019/06/04?\", \"news\"], [\"Did I read on 2019/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/05\": {\"exercise\": {\"eid\": \"e14327\", \"logical_representation\": [\"2019/06/05\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/06/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/05?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14328\", \"logical_representation\": [\"2019/06/05\", \"breakfast\", \"oatmeal\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/06/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14329\", \"logical_representation\": [\"2019/06/05\", \"dinner\", \"fish and chips\", \"Benjamin, Avery\"], \"text_template_based\": \"I had fish and chips for dinner with Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/06/05?\", \"Benjamin, Avery\"], [\"what did I eat for dinner on 2019/06/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14330\", \"logical_representation\": [\"2019/06/05\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/06/05?\", \"37 minutes\"], [\"what did I read on 2019/06/05?\", \"a book\"], [\"Did I read on 2019/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/07\": {\"exercise\": {\"eid\": \"e14336\", \"logical_representation\": [\"2019/06/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/06/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14337\", \"logical_representation\": [\"2019/06/07\", \"dinner\", \"fish and chips\", \"Layla, Lydia, Nevaeh, Claire, Rylee, Kinsley, Nora, Hazel, Olivia, Piper, Piper, Eva\"], \"text_template_based\": \"I had dinner with Layla, Lydia, Nevaeh, Claire, Rylee, Kinsley, Nora, Hazel, Olivia, Piper, Piper, Eva. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/06/07?\", \"Layla, Lydia, Nevaeh, Claire, Rylee, Kinsley, Nora, Hazel, Olivia, Piper, Piper, Eva\"], [\"what did I eat for dinner on 2019/06/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14338\", \"logical_representation\": [\"2019/06/07\", \"Piper\", \"in the late afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2019/06/07?\", \"21 minutes\"], [\"who did I talk to on 2019/06/07?\", \"Piper\"], [\"Did I talk to Piper on 2019/06/07?\", \"yes\"], [\"Did I talk to anyone on 2019/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14339\", \"logical_representation\": [\"2019/06/07\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/06/07?\", \"43 minutes\"], [\"what did I read on 2019/06/07?\", \"news\"], [\"Did I read on 2019/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14340\", \"logical_representation\": [\"2019/06/07\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/07?\", \"20 minutes\"], [\"what did I watch on tv on 2019/06/07?\", \"a documentary\"], [\"Did I watch tv on 2019/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/09\": {\"breakfast\": {\"eid\": \"e14345\", \"logical_representation\": [\"2019/06/09\", \"breakfast\", \"toast and cheese\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/06/09\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14346\", \"logical_representation\": [\"2019/06/09\", \"lunch\", \"indian food\", \"Eva, Lydia, Piper, Nevaeh, Nora, Olivia, Piper, Hazel, Kinsley\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/06/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14347\", \"logical_representation\": [\"2019/06/09\", \"dinner\", \"steak\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/06/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14348\", \"logical_representation\": [\"2019/06/09\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/06/09?\", \"10 minutes\"], [\"what did I read on 2019/06/09?\", \"news\"], [\"Did I read on 2019/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14349\", \"logical_representation\": [\"2019/06/09\", \"news\", \"40 minutes\"], \"text_template_based\": \"I watched news for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/09?\", \"40 minutes\"], [\"what did I watch on tv on 2019/06/09?\", \"news\"], [\"Did I watch tv on 2019/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/11\": {\"chat0\": {\"eid\": \"e14355\", \"logical_representation\": [\"2019/06/11\", \"Layla, Lydia\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Layla, Lydia for 42 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia late in the evening on 2019/06/11?\", \"42 minutes\"], [\"who did I talk to on 2019/06/11?\", \"Layla, Lydia\"], [\"Did I talk to Layla, Lydia on 2019/06/11?\", \"yes\"], [\"Did I talk to anyone on 2019/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14356\", \"logical_representation\": [\"2019/06/11\", \"Hazel\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2019/06/11?\", \"36 minutes\"], [\"who did I talk to on 2019/06/11?\", \"Hazel\"], [\"Did I talk to Hazel on 2019/06/11?\", \"yes\"], [\"Did I talk to anyone on 2019/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/13\": {\"lunch\": {\"eid\": \"e14361\", \"logical_representation\": [\"2019/06/13\", \"lunch\", \"fish and chips\", \"Olivia, Kinsley, Piper, Claire, Nevaeh, Nora, Lydia\"], \"text_template_based\": \"I had lunch with Olivia, Kinsley, Piper, Claire, Nevaeh, Nora, Lydia. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/06/13?\", \"Olivia, Kinsley, Piper, Claire, Nevaeh, Nora, Lydia\"], [\"what did I eat for lunch on 2019/06/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14362\", \"logical_representation\": [\"2019/06/13\", \"Piper, Avery, Kinsley\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Kinsley for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Kinsley during lunch hours on 2019/06/13?\", \"26 minutes\"], [\"who did I talk to on 2019/06/13?\", \"Piper, Avery, Kinsley\"], [\"Did I talk to Piper, Avery, Kinsley on 2019/06/13?\", \"yes\"], [\"Did I talk to anyone on 2019/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14363\", \"logical_representation\": [\"2019/06/13\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/06/13?\", \"37 minutes\"], [\"what did I read on 2019/06/13?\", \"social media\"], [\"Did I read on 2019/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/16\": {\"exercise\": {\"eid\": \"e14372\", \"logical_representation\": [\"2019/06/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/06/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14373\", \"logical_representation\": [\"2019/06/16\", \"lunch\", \"pasta\", \"Layla, Lydia, Hazel\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/06/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14374\", \"logical_representation\": [\"2019/06/16\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/06/16?\", \"18 minutes\"], [\"what did I read on 2019/06/16?\", \"social media\"], [\"Did I read on 2019/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14375\", \"logical_representation\": [\"2019/06/16\", \"news\", \"54 minutes\"], \"text_template_based\": \"I watched news for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/16?\", \"54 minutes\"], [\"what did I watch on tv on 2019/06/16?\", \"news\"], [\"Did I watch tv on 2019/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/17\": {\"breakfast\": {\"eid\": \"e14376\", \"logical_representation\": [\"2019/06/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/06/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14377\", \"logical_representation\": [\"2019/06/17\", \"Lydia, Piper, Piper\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Piper for 30 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Piper in the late afternoon on 2019/06/17?\", \"30 minutes\"], [\"who did I talk to on 2019/06/17?\", \"Lydia, Piper, Piper\"], [\"Did I talk to Lydia, Piper, Piper on 2019/06/17?\", \"yes\"], [\"Did I talk to anyone on 2019/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14378\", \"logical_representation\": [\"2019/06/17\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/06/17?\", \"5 minutes\"], [\"what did I read on 2019/06/17?\", \"a book\"], [\"Did I read on 2019/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14379\", \"logical_representation\": [\"2019/06/17\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/17?\", \"50 minutes\"], [\"what did I watch on tv on 2019/06/17?\", \"news\"], [\"Did I watch tv on 2019/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/19\": {\"chat0\": {\"eid\": \"e14383\", \"logical_representation\": [\"2019/06/19\", \"Piper\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Piper for 12 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2019/06/19?\", \"12 minutes\"], [\"who did I talk to on 2019/06/19?\", \"Piper\"], [\"Did I talk to Piper on 2019/06/19?\", \"yes\"], [\"Did I talk to anyone on 2019/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/20\": {\"exercise\": {\"eid\": \"e14384\", \"logical_representation\": [\"2019/06/20\", \"biking\"], \"text_template_based\": \"I did biking on 2019/06/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14385\", \"logical_representation\": [\"2019/06/20\", \"breakfast\", \"oatmeal\", \"Hazel, Piper, Claire, Rylee, Avery, Piper, Nevaeh, Nora, Lydia, Eva\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/06/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14386\", \"logical_representation\": [\"2019/06/20\", \"dinner\", \"chinese food\", \"Jackson, Benjamin\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/06/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14387\", \"logical_representation\": [\"2019/06/20\", \"Nevaeh, Claire, Nora\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Nevaeh, Claire, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire, Nora in the early evening on 2019/06/20?\", \"34 minutes\"], [\"who did I talk to on 2019/06/20?\", \"Nevaeh, Claire, Nora\"], [\"Did I talk to Nevaeh, Claire, Nora on 2019/06/20?\", \"yes\"], [\"Did I talk to anyone on 2019/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14388\", \"logical_representation\": [\"2019/06/20\", \"Rylee, Kinsley\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Rylee, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley in the early afternoon on 2019/06/20?\", \"13 minutes\"], [\"who did I talk to on 2019/06/20?\", \"Rylee, Kinsley\"], [\"Did I talk to Rylee, Kinsley on 2019/06/20?\", \"yes\"], [\"Did I talk to anyone on 2019/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14389\", \"logical_representation\": [\"2019/06/20\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/06/20?\", \"9 minutes\"], [\"what did I read on 2019/06/20?\", \"social media\"], [\"Did I read on 2019/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/21\": {\"exercise\": {\"eid\": \"e14390\", \"logical_representation\": [\"2019/06/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/06/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14391\", \"logical_representation\": [\"2019/06/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I had breakfast with Benjamin, Avery, Jackson, Willow. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/06/21?\", \"Benjamin, Avery, Jackson, Willow\"], [\"what did I eat for breakfast on 2019/06/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14392\", \"logical_representation\": [\"2019/06/21\", \"lunch\", \"pasta\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/06/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14393\", \"logical_representation\": [\"2019/06/21\", \"dinner\", \"fish and chips\", \"Avery, Benjamin\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/06/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14394\", \"logical_representation\": [\"2019/06/21\", \"Nevaeh, Piper, Eva\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Eva for 40 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Eva in the late afternoon on 2019/06/21?\", \"40 minutes\"], [\"who did I talk to on 2019/06/21?\", \"Nevaeh, Piper, Eva\"], [\"Did I talk to Nevaeh, Piper, Eva on 2019/06/21?\", \"yes\"], [\"Did I talk to anyone on 2019/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14395\", \"logical_representation\": [\"2019/06/21\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/06/21?\", \"5 minutes\"], [\"what did I read on 2019/06/21?\", \"news\"], [\"Did I read on 2019/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/23\": {\"exercise\": {\"eid\": \"e14401\", \"logical_representation\": [\"2019/06/23\", \"biking\"], \"text_template_based\": \"I did biking on 2019/06/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/23?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14402\", \"logical_representation\": [\"2019/06/23\", \"lunch\", \"pasta\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/06/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14403\", \"logical_representation\": [\"2019/06/23\", \"dinner\", \"a burger\", \"Kayden, Andrew\"], \"text_template_based\": \"I had a burger for dinner with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/06/23?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2019/06/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14404\", \"logical_representation\": [\"2019/06/23\", \"Claire, Kinsley, Piper\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Claire, Kinsley, Piper for 38 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Piper in the early afternoon on 2019/06/23?\", \"38 minutes\"], [\"who did I talk to on 2019/06/23?\", \"Claire, Kinsley, Piper\"], [\"Did I talk to Claire, Kinsley, Piper on 2019/06/23?\", \"yes\"], [\"Did I talk to anyone on 2019/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14405\", \"logical_representation\": [\"2019/06/23\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/23?\", \"20 minutes\"], [\"what did I watch on tv on 2019/06/23?\", \"news\"], [\"Did I watch tv on 2019/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/26\": {\"breakfast\": {\"eid\": \"e14415\", \"logical_representation\": [\"2019/06/26\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/06/26\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14416\", \"logical_representation\": [\"2019/06/26\", \"Eva, Olivia, Layla\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Eva, Olivia, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Layla late in the evening on 2019/06/26?\", \"38 minutes\"], [\"who did I talk to on 2019/06/26?\", \"Eva, Olivia, Layla\"], [\"Did I talk to Eva, Olivia, Layla on 2019/06/26?\", \"yes\"], [\"Did I talk to anyone on 2019/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14417\", \"logical_representation\": [\"2019/06/26\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/06/26?\", \"48 minutes\"], [\"what did I read on 2019/06/26?\", \"a book\"], [\"Did I read on 2019/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/29\": {\"exercise\": {\"eid\": \"e14424\", \"logical_representation\": [\"2019/06/29\", \"biking\"], \"text_template_based\": \"I did biking on 2019/06/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/29?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14425\", \"logical_representation\": [\"2019/06/29\", \"lunch\", \"steak\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had steak for lunch with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/06/29?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2019/06/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14426\", \"logical_representation\": [\"2019/06/29\", \"dinner\", \"pasta\", \"Jackson\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/06/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14427\", \"logical_representation\": [\"2019/06/29\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/06/29?\", \"46 minutes\"], [\"what did I read on 2019/06/29?\", \"news\"], [\"Did I read on 2019/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/30\": {\"exercise\": {\"eid\": \"e14428\", \"logical_representation\": [\"2019/06/30\", \"biking\"], \"text_template_based\": \"I did biking on 2019/06/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14429\", \"logical_representation\": [\"2019/06/30\", \"lunch\", \"sushi\", \"Piper, Eva\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/06/30\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14430\", \"logical_representation\": [\"2019/06/30\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/30?\", \"26 minutes\"], [\"what did I watch on tv on 2019/06/30?\", \"news\"], [\"Did I watch tv on 2019/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/01\": {\"lunch\": {\"eid\": \"e14431\", \"logical_representation\": [\"2019/07/01\", \"lunch\", \"fish and chips\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Carter, Emily, Kayden. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/07/01?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2019/07/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14432\", \"logical_representation\": [\"2019/07/01\", \"Claire, Hazel, Piper\", \"in the early afternoon\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Claire, Hazel, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Piper in the early afternoon on 2019/07/01?\", \"35 minutes\"], [\"who did I talk to on 2019/07/01?\", \"Claire, Hazel, Piper\"], [\"Did I talk to Claire, Hazel, Piper on 2019/07/01?\", \"yes\"], [\"Did I talk to anyone on 2019/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14433\", \"logical_representation\": [\"2019/07/01\", \"Hazel, Piper\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper for 24 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper during lunch hours on 2019/07/01?\", \"24 minutes\"], [\"who did I talk to on 2019/07/01?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2019/07/01?\", \"yes\"], [\"Did I talk to anyone on 2019/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14434\", \"logical_representation\": [\"2019/07/01\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/07/01?\", \"29 minutes\"], [\"what did I read on 2019/07/01?\", \"news\"], [\"Did I read on 2019/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/02\": {\"exercise\": {\"eid\": \"e14435\", \"logical_representation\": [\"2019/07/02\", \"running\"], \"text_template_based\": \"I did running on 2019/07/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14436\", \"logical_representation\": [\"2019/07/02\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Willow, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/07/02?\", \"Willow, Jackson, Benjamin\"], [\"what did I eat for breakfast on 2019/07/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14437\", \"logical_representation\": [\"2019/07/02\", \"lunch\", \"steak\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14438\", \"logical_representation\": [\"2019/07/02\", \"Avery, Olivia, Hazel, Eva\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia, Hazel, Eva for 41 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Hazel, Eva in the late afternoon on 2019/07/02?\", \"41 minutes\"], [\"who did I talk to on 2019/07/02?\", \"Avery, Olivia, Hazel, Eva\"], [\"Did I talk to Avery, Olivia, Hazel, Eva on 2019/07/02?\", \"yes\"], [\"Did I talk to anyone on 2019/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/03\": {\"exercise\": {\"eid\": \"e14439\", \"logical_representation\": [\"2019/07/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/07/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14440\", \"logical_representation\": [\"2019/07/03\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Lydia, Hazel, Rylee, Kinsley, Claire, Nora\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/07/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14441\", \"logical_representation\": [\"2019/07/03\", \"lunch\", \"fish and chips\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/07/03?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2019/07/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14442\", \"logical_representation\": [\"2019/07/03\", \"Nora, Kinsley, Avery, Piper\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I talked to Nora, Kinsley, Avery, Piper for 35 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Avery, Piper in the morning on 2019/07/03?\", \"35 minutes\"], [\"who did I talk to on 2019/07/03?\", \"Nora, Kinsley, Avery, Piper\"], [\"Did I talk to Nora, Kinsley, Avery, Piper on 2019/07/03?\", \"yes\"], [\"Did I talk to anyone on 2019/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14443\", \"logical_representation\": [\"2019/07/03\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/07/03?\", \"48 minutes\"], [\"what did I read on 2019/07/03?\", \"a book\"], [\"Did I read on 2019/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14444\", \"logical_representation\": [\"2019/07/03\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/03?\", \"14 minutes\"], [\"what did I watch on tv on 2019/07/03?\", \"a movie\"], [\"Did I watch tv on 2019/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/04\": {\"breakfast\": {\"eid\": \"e14445\", \"logical_representation\": [\"2019/07/04\", \"breakfast\", \"oatmeal\", \"Eva, Avery, Piper, Hazel\"], \"text_template_based\": \"I had oatmeal for breakfast with Eva, Avery, Piper, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/07/04?\", \"Eva, Avery, Piper, Hazel\"], [\"what did I eat for breakfast on 2019/07/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14446\", \"logical_representation\": [\"2019/07/04\", \"dinner\", \"indian food\", \"Jackson\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14447\", \"logical_representation\": [\"2019/07/04\", \"Hazel, Piper, Layla\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Layla for 12 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Layla late in the evening on 2019/07/04?\", \"12 minutes\"], [\"who did I talk to on 2019/07/04?\", \"Hazel, Piper, Layla\"], [\"Did I talk to Hazel, Piper, Layla on 2019/07/04?\", \"yes\"], [\"Did I talk to anyone on 2019/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14448\", \"logical_representation\": [\"2019/07/04\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/07/04?\", \"52 minutes\"], [\"what did I read on 2019/07/04?\", \"social media\"], [\"Did I read on 2019/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/05\": {\"exercise\": {\"eid\": \"e14449\", \"logical_representation\": [\"2019/07/05\", \"biking\"], \"text_template_based\": \"I did biking on 2019/07/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/05?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14450\", \"logical_representation\": [\"2019/07/05\", \"dinner\", \"sushi\", \"Willow, Avery\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/05\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2019/07/06\": {\"breakfast\": {\"eid\": \"e14451\", \"logical_representation\": [\"2019/07/06\", \"breakfast\", \"toast and cheese\", \"Rylee, Kinsley, Avery, Hazel, Claire\"], \"text_template_based\": \"I had breakfast with Rylee, Kinsley, Avery, Hazel, Claire. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/07/06?\", \"Rylee, Kinsley, Avery, Hazel, Claire\"], [\"what did I eat for breakfast on 2019/07/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14452\", \"logical_representation\": [\"2019/07/06\", \"lunch\", \"chinese food\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had chinese food for lunch with Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/07/06?\", \"Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2019/07/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14453\", \"logical_representation\": [\"2019/07/06\", \"dinner\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/07/06?\", \"Andrew\"], [\"what did I eat for dinner on 2019/07/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14454\", \"logical_representation\": [\"2019/07/06\", \"Kinsley, Avery\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Kinsley, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery in the late afternoon on 2019/07/06?\", \"23 minutes\"], [\"who did I talk to on 2019/07/06?\", \"Kinsley, Avery\"], [\"Did I talk to Kinsley, Avery on 2019/07/06?\", \"yes\"], [\"Did I talk to anyone on 2019/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14455\", \"logical_representation\": [\"2019/07/06\", \"Kinsley\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Kinsley for 31 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2019/07/06?\", \"31 minutes\"], [\"who did I talk to on 2019/07/06?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2019/07/06?\", \"yes\"], [\"Did I talk to anyone on 2019/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14456\", \"logical_representation\": [\"2019/07/06\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I watched a tv series for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/06?\", \"7 minutes\"], [\"what did I watch on tv on 2019/07/06?\", \"a tv series\"], [\"Did I watch tv on 2019/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/07\": {\"breakfast\": {\"eid\": \"e14457\", \"logical_representation\": [\"2019/07/07\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Emily, Andrew, Carter, Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/07/07?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for breakfast on 2019/07/07\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14458\", \"logical_representation\": [\"2019/07/07\", \"dinner\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had chinese food for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/07/07?\", \"Emily\"], [\"what did I eat for dinner on 2019/07/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14459\", \"logical_representation\": [\"2019/07/07\", \"Layla\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2019/07/07?\", \"16 minutes\"], [\"who did I talk to on 2019/07/07?\", \"Layla\"], [\"Did I talk to Layla on 2019/07/07?\", \"yes\"], [\"Did I talk to anyone on 2019/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/08\": {\"exercise\": {\"eid\": \"e14460\", \"logical_representation\": [\"2019/07/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/07/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14461\", \"logical_representation\": [\"2019/07/08\", \"dinner\", \"fish and chips\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2019/07/11\": {\"exercise\": {\"eid\": \"e14470\", \"logical_representation\": [\"2019/07/11\", \"running\"], \"text_template_based\": \"I did running on 2019/07/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14471\", \"logical_representation\": [\"2019/07/11\", \"breakfast\", \"toast and cheese\", \"Benjamin, Avery\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/07/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14472\", \"logical_representation\": [\"2019/07/11\", \"lunch\", \"pasta\", \"Hazel, Piper, Nevaeh, Olivia, Rylee, Claire, Lydia, Layla, Eva, Avery, Piper\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14473\", \"logical_representation\": [\"2019/07/11\", \"Kinsley\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Kinsley for 5 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2019/07/11?\", \"5 minutes\"], [\"who did I talk to on 2019/07/11?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2019/07/11?\", \"yes\"], [\"Did I talk to anyone on 2019/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14474\", \"logical_representation\": [\"2019/07/11\", \"Nevaeh\", \"in the morning\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2019/07/11?\", \"23 minutes\"], [\"who did I talk to on 2019/07/11?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2019/07/11?\", \"yes\"], [\"Did I talk to anyone on 2019/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/14\": {\"exercise\": {\"eid\": \"e14482\", \"logical_representation\": [\"2019/07/14\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/07/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/14?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14483\", \"logical_representation\": [\"2019/07/14\", \"Piper, Lydia\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Piper, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia in the early evening on 2019/07/14?\", \"5 minutes\"], [\"who did I talk to on 2019/07/14?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2019/07/14?\", \"yes\"], [\"Did I talk to anyone on 2019/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14484\", \"logical_representation\": [\"2019/07/14\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/07/14?\", \"26 minutes\"], [\"what did I read on 2019/07/14?\", \"social media\"], [\"Did I read on 2019/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14485\", \"logical_representation\": [\"2019/07/14\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I watched a documentary for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/14?\", \"36 minutes\"], [\"what did I watch on tv on 2019/07/14?\", \"a documentary\"], [\"Did I watch tv on 2019/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/15\": {\"breakfast\": {\"eid\": \"e14486\", \"logical_representation\": [\"2019/07/15\", \"breakfast\", \"peanut-butter-jam\", \"Olivia, Claire, Piper, Nora\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/07/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14487\", \"logical_representation\": [\"2019/07/15\", \"lunch\", \"fish and chips\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14488\", \"logical_representation\": [\"2019/07/15\", \"dinner\", \"indian food\", \"Eva, Layla, Rylee, Piper, Nora\"], \"text_template_based\": \"I had dinner with Eva, Layla, Rylee, Piper, Nora. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/07/15?\", \"Eva, Layla, Rylee, Piper, Nora\"], [\"what did I eat for dinner on 2019/07/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14489\", \"logical_representation\": [\"2019/07/15\", \"Lydia\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2019/07/15?\", \"54 minutes\"], [\"who did I talk to on 2019/07/15?\", \"Lydia\"], [\"Did I talk to Lydia on 2019/07/15?\", \"yes\"], [\"Did I talk to anyone on 2019/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/16\": {\"breakfast\": {\"eid\": \"e14490\", \"logical_representation\": [\"2019/07/16\", \"breakfast\", \"oatmeal\", \"Kinsley, Nevaeh, Eva, Layla, Olivia, Piper, Nora\"], \"text_template_based\": \"I had breakfast with Kinsley, Nevaeh, Eva, Layla, Olivia, Piper, Nora. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/07/16?\", \"Kinsley, Nevaeh, Eva, Layla, Olivia, Piper, Nora\"], [\"what did I eat for breakfast on 2019/07/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14491\", \"logical_representation\": [\"2019/07/16\", \"Eva, Piper\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Eva, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper in the early evening on 2019/07/16?\", \"50 minutes\"], [\"who did I talk to on 2019/07/16?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2019/07/16?\", \"yes\"], [\"Did I talk to anyone on 2019/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14492\", \"logical_representation\": [\"2019/07/16\", \"Piper, Rylee\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Piper, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the early evening on 2019/07/16?\", \"23 minutes\"], [\"who did I talk to on 2019/07/16?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2019/07/16?\", \"yes\"], [\"Did I talk to anyone on 2019/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14493\", \"logical_representation\": [\"2019/07/16\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/07/16?\", \"21 minutes\"], [\"what did I read on 2019/07/16?\", \"social media\"], [\"Did I read on 2019/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/17\": {\"breakfast\": {\"eid\": \"e14494\", \"logical_representation\": [\"2019/07/17\", \"breakfast\", \"cereals\", \"Jackson, Avery\"], \"text_template_based\": \"I had breakfast with Jackson, Avery. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/07/17?\", \"Jackson, Avery\"], [\"what did I eat for breakfast on 2019/07/17\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14495\", \"logical_representation\": [\"2019/07/17\", \"dinner\", \"indian food\", \"Emily, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/07/17?\", \"Emily, Kayden\"], [\"what did I eat for dinner on 2019/07/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14496\", \"logical_representation\": [\"2019/07/17\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/07/17?\", \"17 minutes\"], [\"what did I read on 2019/07/17?\", \"news\"], [\"Did I read on 2019/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/18\": {\"exercise\": {\"eid\": \"e14497\", \"logical_representation\": [\"2019/07/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/07/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14498\", \"logical_representation\": [\"2019/07/18\", \"lunch\", \"sandwich\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14499\", \"logical_representation\": [\"2019/07/18\", \"dinner\", \"a burger\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14500\", \"logical_representation\": [\"2019/07/18\", \"Nora, Rylee, Lydia\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Nora, Rylee, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Lydia in the morning on 2019/07/18?\", \"39 minutes\"], [\"who did I talk to on 2019/07/18?\", \"Nora, Rylee, Lydia\"], [\"Did I talk to Nora, Rylee, Lydia on 2019/07/18?\", \"yes\"], [\"Did I talk to anyone on 2019/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/19\": {\"exercise\": {\"eid\": \"e14501\", \"logical_representation\": [\"2019/07/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/07/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14502\", \"logical_representation\": [\"2019/07/19\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/07/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14503\", \"logical_representation\": [\"2019/07/19\", \"dinner\", \"steak\", \"Kayden, Carter\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/19\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2019/07/20\": {\"exercise\": {\"eid\": \"e14504\", \"logical_representation\": [\"2019/07/20\", \"running\"], \"text_template_based\": \"I did running on 2019/07/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/20?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14505\", \"logical_representation\": [\"2019/07/20\", \"lunch\", \"steak\", \"Andrew, Carter\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/20\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14506\", \"logical_representation\": [\"2019/07/20\", \"Claire, Layla, Lydia, Olivia\", \"in the early evening\", \"22 minutes\"], \"text_template_based\": \"I talked to Claire, Layla, Lydia, Olivia for 22 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Lydia, Olivia in the early evening on 2019/07/20?\", \"22 minutes\"], [\"who did I talk to on 2019/07/20?\", \"Claire, Layla, Lydia, Olivia\"], [\"Did I talk to Claire, Layla, Lydia, Olivia on 2019/07/20?\", \"yes\"], [\"Did I talk to anyone on 2019/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14507\", \"logical_representation\": [\"2019/07/20\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/20?\", \"41 minutes\"], [\"what did I watch on tv on 2019/07/20?\", \"a movie\"], [\"Did I watch tv on 2019/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/21\": {\"exercise\": {\"eid\": \"e14508\", \"logical_representation\": [\"2019/07/21\", \"running\"], \"text_template_based\": \"I did running on 2019/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14509\", \"logical_representation\": [\"2019/07/21\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/07/21?\", \"Carter\"], [\"what did I eat for dinner on 2019/07/21\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/07/22\": {\"lunch\": {\"eid\": \"e14510\", \"logical_representation\": [\"2019/07/22\", \"lunch\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14511\", \"logical_representation\": [\"2019/07/22\", \"Layla, Nevaeh, Hazel, Olivia\", \"in the early evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Layla, Nevaeh, Hazel, Olivia for 36 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Hazel, Olivia in the early evening on 2019/07/22?\", \"36 minutes\"], [\"who did I talk to on 2019/07/22?\", \"Layla, Nevaeh, Hazel, Olivia\"], [\"Did I talk to Layla, Nevaeh, Hazel, Olivia on 2019/07/22?\", \"yes\"], [\"Did I talk to anyone on 2019/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14512\", \"logical_representation\": [\"2019/07/22\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/07/22?\", \"13 minutes\"], [\"what did I read on 2019/07/22?\", \"social media\"], [\"Did I read on 2019/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/25\": {\"dinner\": {\"eid\": \"e14519\", \"logical_representation\": [\"2019/07/25\", \"dinner\", \"sushi\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14520\", \"logical_representation\": [\"2019/07/25\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/07/25?\", \"35 minutes\"], [\"what did I read on 2019/07/25?\", \"a book\"], [\"Did I read on 2019/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14521\", \"logical_representation\": [\"2019/07/25\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/25?\", \"53 minutes\"], [\"what did I watch on tv on 2019/07/25?\", \"news\"], [\"Did I watch tv on 2019/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/28\": {\"exercise\": {\"eid\": \"e14532\", \"logical_representation\": [\"2019/07/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/07/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14533\", \"logical_representation\": [\"2019/07/28\", \"lunch\", \"fish and chips\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14534\", \"logical_representation\": [\"2019/07/28\", \"dinner\", \"pasta\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/28\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14535\", \"logical_representation\": [\"2019/07/28\", \"Nevaeh, Rylee\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee for 23 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee in the early evening on 2019/07/28?\", \"23 minutes\"], [\"who did I talk to on 2019/07/28?\", \"Nevaeh, Rylee\"], [\"Did I talk to Nevaeh, Rylee on 2019/07/28?\", \"yes\"], [\"Did I talk to anyone on 2019/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14536\", \"logical_representation\": [\"2019/07/28\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/07/28?\", \"30 minutes\"], [\"what did I read on 2019/07/28?\", \"news\"], [\"Did I read on 2019/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14537\", \"logical_representation\": [\"2019/07/28\", \"news\", \"26 minutes\"], \"text_template_based\": \"I watched news for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/28?\", \"26 minutes\"], [\"what did I watch on tv on 2019/07/28?\", \"news\"], [\"Did I watch tv on 2019/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/29\": {\"lunch\": {\"eid\": \"e14538\", \"logical_representation\": [\"2019/07/29\", \"lunch\", \"chinese food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14539\", \"logical_representation\": [\"2019/07/29\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14540\", \"logical_representation\": [\"2019/07/29\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/07/29?\", \"35 minutes\"], [\"what did I read on 2019/07/29?\", \"a book\"], [\"Did I read on 2019/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/30\": {\"exercise\": {\"eid\": \"e14541\", \"logical_representation\": [\"2019/07/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/07/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14542\", \"logical_representation\": [\"2019/07/30\", \"breakfast\", \"pancakes\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Emily, Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/07/30?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2019/07/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14543\", \"logical_representation\": [\"2019/07/30\", \"lunch\", \"fish and chips\", \"Emily, Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14544\", \"logical_representation\": [\"2019/07/30\", \"dinner\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had chinese food for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/07/30?\", \"Emily\"], [\"what did I eat for dinner on 2019/07/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14545\", \"logical_representation\": [\"2019/07/30\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/30?\", \"13 minutes\"], [\"what did I watch on tv on 2019/07/30?\", \"a tv series\"], [\"Did I watch tv on 2019/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/31\": {\"exercise\": {\"eid\": \"e14546\", \"logical_representation\": [\"2019/07/31\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/07/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/31?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14547\", \"logical_representation\": [\"2019/07/31\", \"breakfast\", \"pancakes\", \"Rylee, Kinsley, Hazel\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/07/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14548\", \"logical_representation\": [\"2019/07/31\", \"lunch\", \"a burger\", \"Nora, Claire, Avery, Piper, Nevaeh, Olivia, Hazel\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/31\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14549\", \"logical_representation\": [\"2019/07/31\", \"dinner\", \"tacos\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/31\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14550\", \"logical_representation\": [\"2019/07/31\", \"Piper, Eva, Layla, Lydia\", \"during lunch hours\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Piper, Eva, Layla, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Layla, Lydia during lunch hours on 2019/07/31?\", \"45 minutes\"], [\"who did I talk to on 2019/07/31?\", \"Piper, Eva, Layla, Lydia\"], [\"Did I talk to Piper, Eva, Layla, Lydia on 2019/07/31?\", \"yes\"], [\"Did I talk to anyone on 2019/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14551\", \"logical_representation\": [\"2019/07/31\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/07/31?\", \"24 minutes\"], [\"what did I read on 2019/07/31?\", \"news\"], [\"Did I read on 2019/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/01\": {\"exercise\": {\"eid\": \"e14552\", \"logical_representation\": [\"2019/08/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14553\", \"logical_representation\": [\"2019/08/01\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/08/01?\", \"38 minutes\"], [\"what did I read on 2019/08/01?\", \"social media\"], [\"Did I read on 2019/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14554\", \"logical_representation\": [\"2019/08/01\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/08/01?\", \"43 minutes\"], [\"what did I watch on tv on 2019/08/01?\", \"a movie\"], [\"Did I watch tv on 2019/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/04\": {\"breakfast\": {\"eid\": \"e14559\", \"logical_representation\": [\"2019/08/04\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/08/04?\", \"Carter\"], [\"what did I eat for breakfast on 2019/08/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14560\", \"logical_representation\": [\"2019/08/04\", \"Kinsley, Nora, Avery\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Kinsley, Nora, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Avery in the late afternoon on 2019/08/04?\", \"41 minutes\"], [\"who did I talk to on 2019/08/04?\", \"Kinsley, Nora, Avery\"], [\"Did I talk to Kinsley, Nora, Avery on 2019/08/04?\", \"yes\"], [\"Did I talk to anyone on 2019/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/07\": {\"exercise\": {\"eid\": \"e14568\", \"logical_representation\": [\"2019/08/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/08/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14569\", \"logical_representation\": [\"2019/08/07\", \"lunch\", \"pasta\", \"Nora\"], \"text_template_based\": \"I had lunch with Nora. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/08/07?\", \"Nora\"], [\"what did I eat for lunch on 2019/08/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14570\", \"logical_representation\": [\"2019/08/07\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/08/07?\", \"17 minutes\"], [\"what did I read on 2019/08/07?\", \"a book\"], [\"Did I read on 2019/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/11\": {\"exercise\": {\"eid\": \"e14582\", \"logical_representation\": [\"2019/08/11\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/08/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/11?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14583\", \"logical_representation\": [\"2019/08/11\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/08/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14584\", \"logical_representation\": [\"2019/08/11\", \"Nevaeh, Piper\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper for 31 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper late in the evening on 2019/08/11?\", \"31 minutes\"], [\"who did I talk to on 2019/08/11?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2019/08/11?\", \"yes\"], [\"Did I talk to anyone on 2019/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14585\", \"logical_representation\": [\"2019/08/11\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/08/11?\", \"12 minutes\"], [\"what did I read on 2019/08/11?\", \"social media\"], [\"Did I read on 2019/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14586\", \"logical_representation\": [\"2019/08/11\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I watched a tv series for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/08/11?\", \"34 minutes\"], [\"what did I watch on tv on 2019/08/11?\", \"a tv series\"], [\"Did I watch tv on 2019/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/14\": {\"watch tv\": {\"eid\": \"e14597\", \"logical_representation\": [\"2019/08/14\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/08/14?\", \"32 minutes\"], [\"what did I watch on tv on 2019/08/14?\", \"a documentary\"], [\"Did I watch tv on 2019/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/15\": {\"breakfast\": {\"eid\": \"e14598\", \"logical_representation\": [\"2019/08/15\", \"breakfast\", \"pancakes\", \"Avery\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/08/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14599\", \"logical_representation\": [\"2019/08/15\", \"lunch\", \"indian food\", \"Piper, Eva, Nora\"], \"text_template_based\": \"I had indian food for lunch with Piper, Eva, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/08/15?\", \"Piper, Eva, Nora\"], [\"what did I eat for lunch on 2019/08/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14600\", \"logical_representation\": [\"2019/08/15\", \"dinner\", \"fish and chips\", \"Jackson, Avery\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/08/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14601\", \"logical_representation\": [\"2019/08/15\", \"Nora, Layla, Claire\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Nora, Layla, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Claire in the late afternoon on 2019/08/15?\", \"32 minutes\"], [\"who did I talk to on 2019/08/15?\", \"Nora, Layla, Claire\"], [\"Did I talk to Nora, Layla, Claire on 2019/08/15?\", \"yes\"], [\"Did I talk to anyone on 2019/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/16\": {\"exercise\": {\"eid\": \"e14602\", \"logical_representation\": [\"2019/08/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/08/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14603\", \"logical_representation\": [\"2019/08/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Layla, Piper\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/08/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14604\", \"logical_representation\": [\"2019/08/16\", \"lunch\", \"sushi\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/08/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14605\", \"logical_representation\": [\"2019/08/16\", \"a book\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/08/16?\", \"40 minutes\"], [\"what did I read on 2019/08/16?\", \"a book\"], [\"Did I read on 2019/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14606\", \"logical_representation\": [\"2019/08/16\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/08/16?\", \"53 minutes\"], [\"what did I watch on tv on 2019/08/16?\", \"a documentary\"], [\"Did I watch tv on 2019/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/18\": {\"breakfast\": {\"eid\": \"e14612\", \"logical_representation\": [\"2019/08/18\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/08/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14613\", \"logical_representation\": [\"2019/08/18\", \"lunch\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/08/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14614\", \"logical_representation\": [\"2019/08/18\", \"Piper\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2019/08/18?\", \"45 minutes\"], [\"who did I talk to on 2019/08/18?\", \"Piper\"], [\"Did I talk to Piper on 2019/08/18?\", \"yes\"], [\"Did I talk to anyone on 2019/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14615\", \"logical_representation\": [\"2019/08/18\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/08/18?\", \"12 minutes\"], [\"what did I read on 2019/08/18?\", \"a book\"], [\"Did I read on 2019/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14616\", \"logical_representation\": [\"2019/08/18\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/08/18?\", \"50 minutes\"], [\"what did I watch on tv on 2019/08/18?\", \"news\"], [\"Did I watch tv on 2019/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/21\": {\"lunch\": {\"eid\": \"e14628\", \"logical_representation\": [\"2019/08/21\", \"lunch\", \"fish and chips\", \"Eva, Lydia, Piper, Olivia, Rylee\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/08/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14629\", \"logical_representation\": [\"2019/08/21\", \"Rylee\", \"in the morning\", \"25 minutes\"], \"text_template_based\": \"I talked to Rylee for 25 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2019/08/21?\", \"25 minutes\"], [\"who did I talk to on 2019/08/21?\", \"Rylee\"], [\"Did I talk to Rylee on 2019/08/21?\", \"yes\"], [\"Did I talk to anyone on 2019/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14630\", \"logical_representation\": [\"2019/08/21\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/08/21?\", \"34 minutes\"], [\"what did I read on 2019/08/21?\", \"a book\"], [\"Did I read on 2019/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/23\": {\"exercise\": {\"eid\": \"e14633\", \"logical_representation\": [\"2019/08/23\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/08/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/23?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14634\", \"logical_representation\": [\"2019/08/23\", \"breakfast\", \"oatmeal\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/08/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14635\", \"logical_representation\": [\"2019/08/23\", \"dinner\", \"fish and chips\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/08/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2019/08/24\": {\"lunch\": {\"eid\": \"e14636\", \"logical_representation\": [\"2019/08/24\", \"lunch\", \"a burger\", \"Hazel, Avery\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/08/24\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14637\", \"logical_representation\": [\"2019/08/24\", \"Nevaeh, Kinsley, Eva\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Nevaeh, Kinsley, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Eva in the early afternoon on 2019/08/24?\", \"21 minutes\"], [\"who did I talk to on 2019/08/24?\", \"Nevaeh, Kinsley, Eva\"], [\"Did I talk to Nevaeh, Kinsley, Eva on 2019/08/24?\", \"yes\"], [\"Did I talk to anyone on 2019/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14638\", \"logical_representation\": [\"2019/08/24\", \"Hazel\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I talked to Hazel for 38 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2019/08/24?\", \"38 minutes\"], [\"who did I talk to on 2019/08/24?\", \"Hazel\"], [\"Did I talk to Hazel on 2019/08/24?\", \"yes\"], [\"Did I talk to anyone on 2019/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14639\", \"logical_representation\": [\"2019/08/24\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/08/24?\", \"32 minutes\"], [\"what did I read on 2019/08/24?\", \"news\"], [\"Did I read on 2019/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/25\": {\"exercise\": {\"eid\": \"e14640\", \"logical_representation\": [\"2019/08/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/08/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14641\", \"logical_representation\": [\"2019/08/25\", \"lunch\", \"indian food\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/08/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14642\", \"logical_representation\": [\"2019/08/25\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/08/25?\", \"7 minutes\"], [\"what did I read on 2019/08/25?\", \"news\"], [\"Did I read on 2019/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/27\": {\"exercise\": {\"eid\": \"e14645\", \"logical_representation\": [\"2019/08/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/08/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14646\", \"logical_representation\": [\"2019/08/27\", \"Eva, Piper\", \"during lunch hours\", \"30 minutes\"], \"text_template_based\": \"I talked to Eva, Piper for 30 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper during lunch hours on 2019/08/27?\", \"30 minutes\"], [\"who did I talk to on 2019/08/27?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2019/08/27?\", \"yes\"], [\"Did I talk to anyone on 2019/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14647\", \"logical_representation\": [\"2019/08/27\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/08/27?\", \"55 minutes\"], [\"what did I read on 2019/08/27?\", \"a book\"], [\"Did I read on 2019/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/30\": {\"dinner\": {\"eid\": \"e14655\", \"logical_representation\": [\"2019/08/30\", \"dinner\", \"fish and chips\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/08/30?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2019/08/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14656\", \"logical_representation\": [\"2019/08/30\", \"Hazel, Avery\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Hazel, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery in the early evening on 2019/08/30?\", \"47 minutes\"], [\"who did I talk to on 2019/08/30?\", \"Hazel, Avery\"], [\"Did I talk to Hazel, Avery on 2019/08/30?\", \"yes\"], [\"Did I talk to anyone on 2019/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14657\", \"logical_representation\": [\"2019/08/30\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I watched a tv series for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/08/30?\", \"37 minutes\"], [\"what did I watch on tv on 2019/08/30?\", \"a tv series\"], [\"Did I watch tv on 2019/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/31\": {\"breakfast\": {\"eid\": \"e14658\", \"logical_representation\": [\"2019/08/31\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/08/31\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14659\", \"logical_representation\": [\"2019/08/31\", \"dinner\", \"fish and chips\", \"Layla\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/08/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14660\", \"logical_representation\": [\"2019/08/31\", \"Lydia, Avery\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery for 24 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery in the late afternoon on 2019/08/31?\", \"24 minutes\"], [\"who did I talk to on 2019/08/31?\", \"Lydia, Avery\"], [\"Did I talk to Lydia, Avery on 2019/08/31?\", \"yes\"], [\"Did I talk to anyone on 2019/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14661\", \"logical_representation\": [\"2019/08/31\", \"Hazel, Kinsley\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I talked to Hazel, Kinsley for 49 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley in the morning on 2019/08/31?\", \"49 minutes\"], [\"who did I talk to on 2019/08/31?\", \"Hazel, Kinsley\"], [\"Did I talk to Hazel, Kinsley on 2019/08/31?\", \"yes\"], [\"Did I talk to anyone on 2019/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14662\", \"logical_representation\": [\"2019/08/31\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/08/31?\", \"28 minutes\"], [\"what did I watch on tv on 2019/08/31?\", \"a movie\"], [\"Did I watch tv on 2019/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/02\": {\"breakfast\": {\"eid\": \"e14668\", \"logical_representation\": [\"2019/09/02\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/09/02?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2019/09/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14669\", \"logical_representation\": [\"2019/09/02\", \"dinner\", \"chinese food\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14670\", \"logical_representation\": [\"2019/09/02\", \"Rylee, Hazel\", \"late in the evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Rylee, Hazel for 16 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel late in the evening on 2019/09/02?\", \"16 minutes\"], [\"who did I talk to on 2019/09/02?\", \"Rylee, Hazel\"], [\"Did I talk to Rylee, Hazel on 2019/09/02?\", \"yes\"], [\"Did I talk to anyone on 2019/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14671\", \"logical_representation\": [\"2019/09/02\", \"Eva, Avery\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Eva, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery in the morning on 2019/09/02?\", \"14 minutes\"], [\"who did I talk to on 2019/09/02?\", \"Eva, Avery\"], [\"Did I talk to Eva, Avery on 2019/09/02?\", \"yes\"], [\"Did I talk to anyone on 2019/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14672\", \"logical_representation\": [\"2019/09/02\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/09/02?\", \"37 minutes\"], [\"what did I read on 2019/09/02?\", \"a book\"], [\"Did I read on 2019/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/03\": {\"exercise\": {\"eid\": \"e14673\", \"logical_representation\": [\"2019/09/03\", \"running\"], \"text_template_based\": \"I did running on 2019/09/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/09/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14674\", \"logical_representation\": [\"2019/09/03\", \"lunch\", \"chinese food\", \"Avery, Willow\"], \"text_template_based\": \"I had chinese food for lunch with Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/09/03?\", \"Avery, Willow\"], [\"what did I eat for lunch on 2019/09/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14675\", \"logical_representation\": [\"2019/09/03\", \"dinner\", \"tacos\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14676\", \"logical_representation\": [\"2019/09/03\", \"Nevaeh, Piper, Kinsley, Claire\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Nevaeh, Piper, Kinsley, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Kinsley, Claire in the early afternoon on 2019/09/03?\", \"33 minutes\"], [\"who did I talk to on 2019/09/03?\", \"Nevaeh, Piper, Kinsley, Claire\"], [\"Did I talk to Nevaeh, Piper, Kinsley, Claire on 2019/09/03?\", \"yes\"], [\"Did I talk to anyone on 2019/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/04\": {\"exercise\": {\"eid\": \"e14677\", \"logical_representation\": [\"2019/09/04\", \"biking\"], \"text_template_based\": \"I did biking on 2019/09/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/09/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14678\", \"logical_representation\": [\"2019/09/04\", \"dinner\", \"tacos\", \"Layla, Avery, Hazel\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14679\", \"logical_representation\": [\"2019/09/04\", \"Nora, Rylee, Eva, Nevaeh\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Nora, Rylee, Eva, Nevaeh for 46 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Eva, Nevaeh late in the evening on 2019/09/04?\", \"46 minutes\"], [\"who did I talk to on 2019/09/04?\", \"Nora, Rylee, Eva, Nevaeh\"], [\"Did I talk to Nora, Rylee, Eva, Nevaeh on 2019/09/04?\", \"yes\"], [\"Did I talk to anyone on 2019/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14680\", \"logical_representation\": [\"2019/09/04\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/09/04?\", \"35 minutes\"], [\"what did I read on 2019/09/04?\", \"social media\"], [\"Did I read on 2019/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/05\": {\"lunch\": {\"eid\": \"e14681\", \"logical_representation\": [\"2019/09/05\", \"lunch\", \"tacos\", \"Olivia, Nevaeh, Layla, Avery\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/09/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14682\", \"logical_representation\": [\"2019/09/05\", \"dinner\", \"fish and chips\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14683\", \"logical_representation\": [\"2019/09/05\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I watched a documentary for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/05?\", \"47 minutes\"], [\"what did I watch on tv on 2019/09/05?\", \"a documentary\"], [\"Did I watch tv on 2019/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/09\": {\"chat0\": {\"eid\": \"e14695\", \"logical_representation\": [\"2019/09/09\", \"Avery, Hazel\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Avery, Hazel for 51 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel in the early evening on 2019/09/09?\", \"51 minutes\"], [\"who did I talk to on 2019/09/09?\", \"Avery, Hazel\"], [\"Did I talk to Avery, Hazel on 2019/09/09?\", \"yes\"], [\"Did I talk to anyone on 2019/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14696\", \"logical_representation\": [\"2019/09/09\", \"Nevaeh, Eva, Piper, Layla\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Nevaeh, Eva, Piper, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva, Piper, Layla during lunch hours on 2019/09/09?\", \"46 minutes\"], [\"who did I talk to on 2019/09/09?\", \"Nevaeh, Eva, Piper, Layla\"], [\"Did I talk to Nevaeh, Eva, Piper, Layla on 2019/09/09?\", \"yes\"], [\"Did I talk to anyone on 2019/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14697\", \"logical_representation\": [\"2019/09/09\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/09/09?\", \"11 minutes\"], [\"what did I read on 2019/09/09?\", \"social media\"], [\"Did I read on 2019/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/10\": {\"lunch\": {\"eid\": \"e14698\", \"logical_representation\": [\"2019/09/10\", \"lunch\", \"pasta\", \"Claire, Layla, Lydia, Nevaeh\"], \"text_template_based\": \"I had lunch with Claire, Layla, Lydia, Nevaeh. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/09/10?\", \"Claire, Layla, Lydia, Nevaeh\"], [\"what did I eat for lunch on 2019/09/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14699\", \"logical_representation\": [\"2019/09/10\", \"dinner\", \"fish and chips\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14700\", \"logical_representation\": [\"2019/09/10\", \"Eva, Claire\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Eva, Claire for 38 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire late in the evening on 2019/09/10?\", \"38 minutes\"], [\"who did I talk to on 2019/09/10?\", \"Eva, Claire\"], [\"Did I talk to Eva, Claire on 2019/09/10?\", \"yes\"], [\"Did I talk to anyone on 2019/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14701\", \"logical_representation\": [\"2019/09/10\", \"a documentary\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/10?\", \"6 minutes\"], [\"what did I watch on tv on 2019/09/10?\", \"a documentary\"], [\"Did I watch tv on 2019/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/11\": {\"breakfast\": {\"eid\": \"e14702\", \"logical_representation\": [\"2019/09/11\", \"breakfast\", \"pancakes\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Kayden, Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/09/11?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2019/09/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14703\", \"logical_representation\": [\"2019/09/11\", \"Avery\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Avery for 53 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2019/09/11?\", \"53 minutes\"], [\"who did I talk to on 2019/09/11?\", \"Avery\"], [\"Did I talk to Avery on 2019/09/11?\", \"yes\"], [\"Did I talk to anyone on 2019/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/13\": {\"breakfast\": {\"eid\": \"e14706\", \"logical_representation\": [\"2019/09/13\", \"breakfast\", \"pancakes\", \"Jackson\"], \"text_template_based\": \"I had breakfast with Jackson. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/09/13?\", \"Jackson\"], [\"what did I eat for breakfast on 2019/09/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14707\", \"logical_representation\": [\"2019/09/13\", \"lunch\", \"sandwich\", \"Avery, Benjamin\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/09/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14708\", \"logical_representation\": [\"2019/09/13\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14709\", \"logical_representation\": [\"2019/09/13\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/09/13?\", \"13 minutes\"], [\"what did I read on 2019/09/13?\", \"social media\"], [\"Did I read on 2019/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14710\", \"logical_representation\": [\"2019/09/13\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/13?\", \"17 minutes\"], [\"what did I watch on tv on 2019/09/13?\", \"a movie\"], [\"Did I watch tv on 2019/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/15\": {\"exercise\": {\"eid\": \"e14714\", \"logical_representation\": [\"2019/09/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/09/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14715\", \"logical_representation\": [\"2019/09/15\", \"breakfast\", \"cereals\", \"Avery, Rylee, Lydia, Nora, Piper, Layla, Nevaeh, Eva, Hazel\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/09/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14716\", \"logical_representation\": [\"2019/09/15\", \"dinner\", \"a burger\", \"Hazel\"], \"text_template_based\": \"I had a burger for dinner with Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/09/15?\", \"Hazel\"], [\"what did I eat for dinner on 2019/09/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14717\", \"logical_representation\": [\"2019/09/15\", \"Layla, Kinsley\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Layla, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley in the early afternoon on 2019/09/15?\", \"16 minutes\"], [\"who did I talk to on 2019/09/15?\", \"Layla, Kinsley\"], [\"Did I talk to Layla, Kinsley on 2019/09/15?\", \"yes\"], [\"Did I talk to anyone on 2019/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14718\", \"logical_representation\": [\"2019/09/15\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/15?\", \"22 minutes\"], [\"what did I watch on tv on 2019/09/15?\", \"news\"], [\"Did I watch tv on 2019/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/16\": {\"dinner\": {\"eid\": \"e14719\", \"logical_representation\": [\"2019/09/16\", \"dinner\", \"tacos\", \"Nora, Rylee, Eva, Kinsley, Olivia, Piper, Layla, Claire, Piper\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14720\", \"logical_representation\": [\"2019/09/16\", \"Layla, Claire, Eva\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Layla, Claire, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire, Eva in the early evening on 2019/09/16?\", \"25 minutes\"], [\"who did I talk to on 2019/09/16?\", \"Layla, Claire, Eva\"], [\"Did I talk to Layla, Claire, Eva on 2019/09/16?\", \"yes\"], [\"Did I talk to anyone on 2019/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14721\", \"logical_representation\": [\"2019/09/16\", \"a tv series\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/16?\", \"14 minutes\"], [\"what did I watch on tv on 2019/09/16?\", \"a tv series\"], [\"Did I watch tv on 2019/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/17\": {\"exercise\": {\"eid\": \"e14722\", \"logical_representation\": [\"2019/09/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/09/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/09/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14723\", \"logical_representation\": [\"2019/09/17\", \"breakfast\", \"pancakes\", \"Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/09/17\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14724\", \"logical_representation\": [\"2019/09/17\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/09/17?\", \"Emily\"], [\"what did I eat for lunch on 2019/09/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14725\", \"logical_representation\": [\"2019/09/17\", \"dinner\", \"sushi\", \"Olivia, Nevaeh, Claire, Hazel, Piper, Rylee, Layla, Avery, Lydia, Eva, Nora\"], \"text_template_based\": \"I had dinner with Olivia, Nevaeh, Claire, Hazel, Piper, Rylee, Layla, Avery, Lydia, Eva, Nora. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/09/17?\", \"Olivia, Nevaeh, Claire, Hazel, Piper, Rylee, Layla, Avery, Lydia, Eva, Nora\"], [\"what did I eat for dinner on 2019/09/17\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2019/09/18\": {\"breakfast\": {\"eid\": \"e14726\", \"logical_representation\": [\"2019/09/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/09/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14727\", \"logical_representation\": [\"2019/09/18\", \"lunch\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had tacos for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/09/18?\", \"Andrew\"], [\"what did I eat for lunch on 2019/09/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14728\", \"logical_representation\": [\"2019/09/18\", \"dinner\", \"sandwich\", \"Willow, Avery\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14729\", \"logical_representation\": [\"2019/09/18\", \"a tv series\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/18?\", \"15 minutes\"], [\"what did I watch on tv on 2019/09/18?\", \"a tv series\"], [\"Did I watch tv on 2019/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/19\": {\"exercise\": {\"eid\": \"e14730\", \"logical_representation\": [\"2019/09/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/09/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/09/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14731\", \"logical_representation\": [\"2019/09/19\", \"breakfast\", \"cereals\", \"Willow, Avery\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/09/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14732\", \"logical_representation\": [\"2019/09/19\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/09/19?\", \"21 minutes\"], [\"what did I read on 2019/09/19?\", \"social media\"], [\"Did I read on 2019/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/20\": {\"chat0\": {\"eid\": \"e14733\", \"logical_representation\": [\"2019/09/20\", \"Piper, Layla, Piper\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Piper for 38 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Piper in the early evening on 2019/09/20?\", \"38 minutes\"], [\"who did I talk to on 2019/09/20?\", \"Piper, Layla, Piper\"], [\"Did I talk to Piper, Layla, Piper on 2019/09/20?\", \"yes\"], [\"Did I talk to anyone on 2019/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14734\", \"logical_representation\": [\"2019/09/20\", \"Nora\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I talked to Nora for 24 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2019/09/20?\", \"24 minutes\"], [\"who did I talk to on 2019/09/20?\", \"Nora\"], [\"Did I talk to Nora on 2019/09/20?\", \"yes\"], [\"Did I talk to anyone on 2019/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/21\": {\"exercise\": {\"eid\": \"e14735\", \"logical_representation\": [\"2019/09/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/09/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/09/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14736\", \"logical_representation\": [\"2019/09/21\", \"breakfast\", \"cereals\", \"Kayden, Carter\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/09/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14737\", \"logical_representation\": [\"2019/09/21\", \"lunch\", \"indian food\", \"Nora, Layla, Hazel, Piper, Lydia\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/09/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14738\", \"logical_representation\": [\"2019/09/21\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/09/21?\", \"29 minutes\"], [\"what did I read on 2019/09/21?\", \"social media\"], [\"Did I read on 2019/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/22\": {\"breakfast\": {\"eid\": \"e14739\", \"logical_representation\": [\"2019/09/22\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/09/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14740\", \"logical_representation\": [\"2019/09/22\", \"Layla, Piper, Piper, Hazel\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Piper, Hazel for 33 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Piper, Hazel in the morning on 2019/09/22?\", \"33 minutes\"], [\"who did I talk to on 2019/09/22?\", \"Layla, Piper, Piper, Hazel\"], [\"Did I talk to Layla, Piper, Piper, Hazel on 2019/09/22?\", \"yes\"], [\"Did I talk to anyone on 2019/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/23\": {\"lunch\": {\"eid\": \"e14741\", \"logical_representation\": [\"2019/09/23\", \"lunch\", \"sushi\", \"Nora, Kinsley, Rylee, Layla, Nevaeh, Eva, Lydia, Piper, Hazel, Olivia, Claire, Piper\"], \"text_template_based\": \"I had lunch with Nora, Kinsley, Rylee, Layla, Nevaeh, Eva, Lydia, Piper, Hazel, Olivia, Claire, Piper. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/09/23?\", \"Nora, Kinsley, Rylee, Layla, Nevaeh, Eva, Lydia, Piper, Hazel, Olivia, Claire, Piper\"], [\"what did I eat for lunch on 2019/09/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14742\", \"logical_representation\": [\"2019/09/23\", \"dinner\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had indian food for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/09/23?\", \"Emily\"], [\"what did I eat for dinner on 2019/09/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14743\", \"logical_representation\": [\"2019/09/23\", \"Kinsley\", \"during lunch hours\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2019/09/23?\", \"32 minutes\"], [\"who did I talk to on 2019/09/23?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2019/09/23?\", \"yes\"], [\"Did I talk to anyone on 2019/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14744\", \"logical_representation\": [\"2019/09/23\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/09/23?\", \"26 minutes\"], [\"what did I read on 2019/09/23?\", \"a book\"], [\"Did I read on 2019/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/25\": {\"exercise\": {\"eid\": \"e14748\", \"logical_representation\": [\"2019/09/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/09/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/09/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14749\", \"logical_representation\": [\"2019/09/25\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew\"], \"text_template_based\": \"I had oatmeal for breakfast with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/09/25?\", \"Kayden, Andrew\"], [\"what did I eat for breakfast on 2019/09/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14750\", \"logical_representation\": [\"2019/09/25\", \"lunch\", \"sandwich\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had lunch with Carter, Andrew, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/09/25?\", \"Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2019/09/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14751\", \"logical_representation\": [\"2019/09/25\", \"Hazel\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2019/09/25?\", \"33 minutes\"], [\"who did I talk to on 2019/09/25?\", \"Hazel\"], [\"Did I talk to Hazel on 2019/09/25?\", \"yes\"], [\"Did I talk to anyone on 2019/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14752\", \"logical_representation\": [\"2019/09/25\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/25?\", \"10 minutes\"], [\"what did I watch on tv on 2019/09/25?\", \"a documentary\"], [\"Did I watch tv on 2019/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/26\": {\"exercise\": {\"eid\": \"e14753\", \"logical_representation\": [\"2019/09/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/09/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/09/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14754\", \"logical_representation\": [\"2019/09/26\", \"dinner\", \"indian food\", \"Avery, Rylee, Lydia, Layla, Piper, Claire, Piper, Nora, Olivia\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14755\", \"logical_representation\": [\"2019/09/26\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/09/26?\", \"42 minutes\"], [\"what did I read on 2019/09/26?\", \"social media\"], [\"Did I read on 2019/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14756\", \"logical_representation\": [\"2019/09/26\", \"news\", \"44 minutes\"], \"text_template_based\": \"I watched news for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/26?\", \"44 minutes\"], [\"what did I watch on tv on 2019/09/26?\", \"news\"], [\"Did I watch tv on 2019/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/27\": {\"lunch\": {\"eid\": \"e14757\", \"logical_representation\": [\"2019/09/27\", \"lunch\", \"sandwich\", \"Willow, Avery\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/09/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14758\", \"logical_representation\": [\"2019/09/27\", \"Kinsley\", \"in the late afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the late afternoon on 2019/09/27?\", \"36 minutes\"], [\"who did I talk to on 2019/09/27?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2019/09/27?\", \"yes\"], [\"Did I talk to anyone on 2019/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/28\": {\"dinner\": {\"eid\": \"e14759\", \"logical_representation\": [\"2019/09/28\", \"dinner\", \"tacos\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14760\", \"logical_representation\": [\"2019/09/28\", \"Olivia, Lydia, Claire, Nora\", \"late in the evening\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Olivia, Lydia, Claire, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia, Claire, Nora late in the evening on 2019/09/28?\", \"8 minutes\"], [\"who did I talk to on 2019/09/28?\", \"Olivia, Lydia, Claire, Nora\"], [\"Did I talk to Olivia, Lydia, Claire, Nora on 2019/09/28?\", \"yes\"], [\"Did I talk to anyone on 2019/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14761\", \"logical_representation\": [\"2019/09/28\", \"Eva\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the late afternoon on 2019/09/28?\", \"43 minutes\"], [\"who did I talk to on 2019/09/28?\", \"Eva\"], [\"Did I talk to Eva on 2019/09/28?\", \"yes\"], [\"Did I talk to anyone on 2019/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/29\": {\"exercise\": {\"eid\": \"e14762\", \"logical_representation\": [\"2019/09/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/09/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/09/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14763\", \"logical_representation\": [\"2019/09/29\", \"breakfast\", \"cereals\", \"Olivia, Piper, Lydia, Layla, Avery, Hazel, Claire, Nora, Rylee, Eva, Kinsley\"], \"text_template_based\": \"I had breakfast with Olivia, Piper, Lydia, Layla, Avery, Hazel, Claire, Nora, Rylee, Eva, Kinsley. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/09/29?\", \"Olivia, Piper, Lydia, Layla, Avery, Hazel, Claire, Nora, Rylee, Eva, Kinsley\"], [\"what did I eat for breakfast on 2019/09/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14764\", \"logical_representation\": [\"2019/09/29\", \"lunch\", \"steak\", \"Nevaeh, Piper, Eva, Claire, Kinsley, Piper, Lydia, Nora, Layla, Avery\"], \"text_template_based\": \"I had steak for lunch with Nevaeh, Piper, Eva, Claire, Kinsley, Piper, Lydia, Nora, Layla, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/09/29?\", \"Nevaeh, Piper, Eva, Claire, Kinsley, Piper, Lydia, Nora, Layla, Avery\"], [\"what did I eat for lunch on 2019/09/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14765\", \"logical_representation\": [\"2019/09/29\", \"dinner\", \"indian food\", \"Avery, Nora, Layla, Piper, Rylee, Olivia, Eva, Nevaeh, Claire, Piper, Lydia, Kinsley, Hazel\"], \"text_template_based\": \"I had indian food for dinner with Avery, Nora, Layla, Piper, Rylee, Olivia, Eva, Nevaeh, Claire, Piper, Lydia, Kinsley, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/09/29?\", \"Avery, Nora, Layla, Piper, Rylee, Olivia, Eva, Nevaeh, Claire, Piper, Lydia, Kinsley, Hazel\"], [\"what did I eat for dinner on 2019/09/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14766\", \"logical_representation\": [\"2019/09/29\", \"Nevaeh, Avery, Piper, Layla\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nevaeh, Avery, Piper, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Piper, Layla in the late afternoon on 2019/09/29?\", \"29 minutes\"], [\"who did I talk to on 2019/09/29?\", \"Nevaeh, Avery, Piper, Layla\"], [\"Did I talk to Nevaeh, Avery, Piper, Layla on 2019/09/29?\", \"yes\"], [\"Did I talk to anyone on 2019/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/01\": {\"exercise\": {\"eid\": \"e14770\", \"logical_representation\": [\"2019/10/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/10/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14771\", \"logical_representation\": [\"2019/10/01\", \"Claire\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2019/10/01?\", \"27 minutes\"], [\"who did I talk to on 2019/10/01?\", \"Claire\"], [\"Did I talk to Claire on 2019/10/01?\", \"yes\"], [\"Did I talk to anyone on 2019/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14772\", \"logical_representation\": [\"2019/10/01\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/10/01?\", \"55 minutes\"], [\"what did I read on 2019/10/01?\", \"social media\"], [\"Did I read on 2019/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14773\", \"logical_representation\": [\"2019/10/01\", \"a movie\", \"38 minutes\"], \"text_template_based\": \"I watched a movie for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/01?\", \"38 minutes\"], [\"what did I watch on tv on 2019/10/01?\", \"a movie\"], [\"Did I watch tv on 2019/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/03\": {\"lunch\": {\"eid\": \"e14777\", \"logical_representation\": [\"2019/10/03\", \"lunch\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/10/03?\", \"Andrew\"], [\"what did I eat for lunch on 2019/10/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14778\", \"logical_representation\": [\"2019/10/03\", \"Olivia, Nevaeh\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Olivia, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh during lunch hours on 2019/10/03?\", \"13 minutes\"], [\"who did I talk to on 2019/10/03?\", \"Olivia, Nevaeh\"], [\"Did I talk to Olivia, Nevaeh on 2019/10/03?\", \"yes\"], [\"Did I talk to anyone on 2019/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14779\", \"logical_representation\": [\"2019/10/03\", \"Lydia, Nora\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Lydia, Nora for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora in the early afternoon on 2019/10/03?\", \"36 minutes\"], [\"who did I talk to on 2019/10/03?\", \"Lydia, Nora\"], [\"Did I talk to Lydia, Nora on 2019/10/03?\", \"yes\"], [\"Did I talk to anyone on 2019/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14780\", \"logical_representation\": [\"2019/10/03\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/10/03?\", \"45 minutes\"], [\"what did I read on 2019/10/03?\", \"news\"], [\"Did I read on 2019/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/04\": {\"breakfast\": {\"eid\": \"e14781\", \"logical_representation\": [\"2019/10/04\", \"breakfast\", \"oatmeal\", \"Carter, Kayden\"], \"text_template_based\": \"I had oatmeal for breakfast with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/10/04?\", \"Carter, Kayden\"], [\"what did I eat for breakfast on 2019/10/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14782\", \"logical_representation\": [\"2019/10/04\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/10/04?\", \"7 minutes\"], [\"what did I read on 2019/10/04?\", \"social media\"], [\"Did I read on 2019/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14783\", \"logical_representation\": [\"2019/10/04\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/04?\", \"33 minutes\"], [\"what did I watch on tv on 2019/10/04?\", \"a documentary\"], [\"Did I watch tv on 2019/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/07\": {\"breakfast\": {\"eid\": \"e14790\", \"logical_representation\": [\"2019/10/07\", \"breakfast\", \"cereals\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had cereals for breakfast with Benjamin, Avery, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/10/07?\", \"Benjamin, Avery, Willow, Jackson\"], [\"what did I eat for breakfast on 2019/10/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14791\", \"logical_representation\": [\"2019/10/07\", \"lunch\", \"indian food\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14792\", \"logical_representation\": [\"2019/10/07\", \"Rylee, Olivia\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Rylee, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia late in the evening on 2019/10/07?\", \"52 minutes\"], [\"who did I talk to on 2019/10/07?\", \"Rylee, Olivia\"], [\"Did I talk to Rylee, Olivia on 2019/10/07?\", \"yes\"], [\"Did I talk to anyone on 2019/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14793\", \"logical_representation\": [\"2019/10/07\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/10/07?\", \"47 minutes\"], [\"what did I read on 2019/10/07?\", \"social media\"], [\"Did I read on 2019/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14794\", \"logical_representation\": [\"2019/10/07\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/07?\", \"47 minutes\"], [\"what did I watch on tv on 2019/10/07?\", \"a documentary\"], [\"Did I watch tv on 2019/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/09\": {\"lunch\": {\"eid\": \"e14801\", \"logical_representation\": [\"2019/10/09\", \"lunch\", \"fish and chips\", \"Carter, Andrew\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14802\", \"logical_representation\": [\"2019/10/09\", \"Piper\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2019/10/09?\", \"21 minutes\"], [\"who did I talk to on 2019/10/09?\", \"Piper\"], [\"Did I talk to Piper on 2019/10/09?\", \"yes\"], [\"Did I talk to anyone on 2019/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/10\": {\"exercise\": {\"eid\": \"e14803\", \"logical_representation\": [\"2019/10/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/10/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14804\", \"logical_representation\": [\"2019/10/10\", \"lunch\", \"indian food\", \"Carter\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14805\", \"logical_representation\": [\"2019/10/10\", \"dinner\", \"pasta\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had pasta for dinner with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/10/10?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2019/10/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14806\", \"logical_representation\": [\"2019/10/10\", \"Lydia\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I talked to Lydia for 25 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia during lunch hours on 2019/10/10?\", \"25 minutes\"], [\"who did I talk to on 2019/10/10?\", \"Lydia\"], [\"Did I talk to Lydia on 2019/10/10?\", \"yes\"], [\"Did I talk to anyone on 2019/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14807\", \"logical_representation\": [\"2019/10/10\", \"Lydia, Nevaeh, Piper, Nora\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Lydia, Nevaeh, Piper, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Piper, Nora in the late afternoon on 2019/10/10?\", \"37 minutes\"], [\"who did I talk to on 2019/10/10?\", \"Lydia, Nevaeh, Piper, Nora\"], [\"Did I talk to Lydia, Nevaeh, Piper, Nora on 2019/10/10?\", \"yes\"], [\"Did I talk to anyone on 2019/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14808\", \"logical_representation\": [\"2019/10/10\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/10?\", \"40 minutes\"], [\"what did I watch on tv on 2019/10/10?\", \"news\"], [\"Did I watch tv on 2019/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/11\": {\"exercise\": {\"eid\": \"e14809\", \"logical_representation\": [\"2019/10/11\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/10/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/11?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14810\", \"logical_representation\": [\"2019/10/11\", \"breakfast\", \"oatmeal\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I had breakfast with Benjamin, Avery, Willow. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/10/11?\", \"Benjamin, Avery, Willow\"], [\"what did I eat for breakfast on 2019/10/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14811\", \"logical_representation\": [\"2019/10/11\", \"Avery, Rylee, Olivia\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Avery, Rylee, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee, Olivia in the late afternoon on 2019/10/11?\", \"5 minutes\"], [\"who did I talk to on 2019/10/11?\", \"Avery, Rylee, Olivia\"], [\"Did I talk to Avery, Rylee, Olivia on 2019/10/11?\", \"yes\"], [\"Did I talk to anyone on 2019/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14812\", \"logical_representation\": [\"2019/10/11\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/10/11?\", \"39 minutes\"], [\"what did I read on 2019/10/11?\", \"social media\"], [\"Did I read on 2019/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/12\": {\"exercise\": {\"eid\": \"e14813\", \"logical_representation\": [\"2019/10/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/10/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14814\", \"logical_representation\": [\"2019/10/12\", \"Piper, Piper, Kinsley, Hazel\", \"in the early afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Piper, Piper, Kinsley, Hazel for 50 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Kinsley, Hazel in the early afternoon on 2019/10/12?\", \"50 minutes\"], [\"who did I talk to on 2019/10/12?\", \"Piper, Piper, Kinsley, Hazel\"], [\"Did I talk to Piper, Piper, Kinsley, Hazel on 2019/10/12?\", \"yes\"], [\"Did I talk to anyone on 2019/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14815\", \"logical_representation\": [\"2019/10/12\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/10/12?\", \"47 minutes\"], [\"what did I read on 2019/10/12?\", \"news\"], [\"Did I read on 2019/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14816\", \"logical_representation\": [\"2019/10/12\", \"a movie\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/12?\", \"42 minutes\"], [\"what did I watch on tv on 2019/10/12?\", \"a movie\"], [\"Did I watch tv on 2019/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/15\": {\"breakfast\": {\"eid\": \"e14826\", \"logical_representation\": [\"2019/10/15\", \"breakfast\", \"cereals\", \"Nora, Hazel, Rylee, Claire, Nevaeh, Lydia\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/10/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14827\", \"logical_representation\": [\"2019/10/15\", \"dinner\", \"steak\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I had dinner with Jackson, Avery, Benjamin, Willow. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/10/15?\", \"Jackson, Avery, Benjamin, Willow\"], [\"what did I eat for dinner on 2019/10/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14828\", \"logical_representation\": [\"2019/10/15\", \"Eva, Rylee, Piper\", \"in the early evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Eva, Rylee, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Piper in the early evening on 2019/10/15?\", \"45 minutes\"], [\"who did I talk to on 2019/10/15?\", \"Eva, Rylee, Piper\"], [\"Did I talk to Eva, Rylee, Piper on 2019/10/15?\", \"yes\"], [\"Did I talk to anyone on 2019/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14829\", \"logical_representation\": [\"2019/10/15\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/10/15?\", \"50 minutes\"], [\"what did I read on 2019/10/15?\", \"a book\"], [\"Did I read on 2019/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/16\": {\"exercise\": {\"eid\": \"e14830\", \"logical_representation\": [\"2019/10/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/10/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14831\", \"logical_representation\": [\"2019/10/16\", \"lunch\", \"fish and chips\", \"Benjamin, Willow\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14832\", \"logical_representation\": [\"2019/10/16\", \"Hazel, Claire, Avery, Piper\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I talked to Hazel, Claire, Avery, Piper for 40 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Avery, Piper in the morning on 2019/10/16?\", \"40 minutes\"], [\"who did I talk to on 2019/10/16?\", \"Hazel, Claire, Avery, Piper\"], [\"Did I talk to Hazel, Claire, Avery, Piper on 2019/10/16?\", \"yes\"], [\"Did I talk to anyone on 2019/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14833\", \"logical_representation\": [\"2019/10/16\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/10/16?\", \"15 minutes\"], [\"what did I read on 2019/10/16?\", \"a book\"], [\"Did I read on 2019/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/17\": {\"exercise\": {\"eid\": \"e14834\", \"logical_representation\": [\"2019/10/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/10/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14835\", \"logical_representation\": [\"2019/10/17\", \"lunch\", \"pasta\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had lunch with Willow, Benjamin, Avery, Jackson. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/10/17?\", \"Willow, Benjamin, Avery, Jackson\"], [\"what did I eat for lunch on 2019/10/17\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2019/10/19\": {\"breakfast\": {\"eid\": \"e14840\", \"logical_representation\": [\"2019/10/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/10/19?\", \"Emily, Carter\"], [\"what did I eat for breakfast on 2019/10/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14841\", \"logical_representation\": [\"2019/10/19\", \"lunch\", \"fish and chips\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14842\", \"logical_representation\": [\"2019/10/19\", \"dinner\", \"chinese food\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had chinese food for dinner with Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/10/19?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2019/10/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14843\", \"logical_representation\": [\"2019/10/19\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/10/19?\", \"34 minutes\"], [\"what did I read on 2019/10/19?\", \"news\"], [\"Did I read on 2019/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14844\", \"logical_representation\": [\"2019/10/19\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/19?\", \"16 minutes\"], [\"what did I watch on tv on 2019/10/19?\", \"a documentary\"], [\"Did I watch tv on 2019/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/20\": {\"exercise\": {\"eid\": \"e14845\", \"logical_representation\": [\"2019/10/20\", \"biking\"], \"text_template_based\": \"I did biking on 2019/10/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14846\", \"logical_representation\": [\"2019/10/20\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/10/20?\", \"39 minutes\"], [\"what did I read on 2019/10/20?\", \"a book\"], [\"Did I read on 2019/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/21\": {\"exercise\": {\"eid\": \"e14847\", \"logical_representation\": [\"2019/10/21\", \"running\"], \"text_template_based\": \"I did running on 2019/10/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14848\", \"logical_representation\": [\"2019/10/21\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/10/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14849\", \"logical_representation\": [\"2019/10/21\", \"dinner\", \"sushi\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/10/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14850\", \"logical_representation\": [\"2019/10/21\", \"Kinsley, Avery, Lydia, Layla\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Kinsley, Avery, Lydia, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Lydia, Layla in the morning on 2019/10/21?\", \"31 minutes\"], [\"who did I talk to on 2019/10/21?\", \"Kinsley, Avery, Lydia, Layla\"], [\"Did I talk to Kinsley, Avery, Lydia, Layla on 2019/10/21?\", \"yes\"], [\"Did I talk to anyone on 2019/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14851\", \"logical_representation\": [\"2019/10/21\", \"Avery\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I talked to Avery for 11 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2019/10/21?\", \"11 minutes\"], [\"who did I talk to on 2019/10/21?\", \"Avery\"], [\"Did I talk to Avery on 2019/10/21?\", \"yes\"], [\"Did I talk to anyone on 2019/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/22\": {\"exercise\": {\"eid\": \"e14852\", \"logical_representation\": [\"2019/10/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/10/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14853\", \"logical_representation\": [\"2019/10/22\", \"breakfast\", \"pancakes\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/10/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14854\", \"logical_representation\": [\"2019/10/22\", \"lunch\", \"fish and chips\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had lunch with Benjamin, Jackson, Avery, Willow. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/10/22?\", \"Benjamin, Jackson, Avery, Willow\"], [\"what did I eat for lunch on 2019/10/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14855\", \"logical_representation\": [\"2019/10/22\", \"Piper, Kinsley, Eva\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Piper, Kinsley, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Eva late in the evening on 2019/10/22?\", \"22 minutes\"], [\"who did I talk to on 2019/10/22?\", \"Piper, Kinsley, Eva\"], [\"Did I talk to Piper, Kinsley, Eva on 2019/10/22?\", \"yes\"], [\"Did I talk to anyone on 2019/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14856\", \"logical_representation\": [\"2019/10/22\", \"Olivia, Claire, Avery\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Olivia, Claire, Avery for 33 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire, Avery in the early afternoon on 2019/10/22?\", \"33 minutes\"], [\"who did I talk to on 2019/10/22?\", \"Olivia, Claire, Avery\"], [\"Did I talk to Olivia, Claire, Avery on 2019/10/22?\", \"yes\"], [\"Did I talk to anyone on 2019/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/23\": {\"exercise\": {\"eid\": \"e14857\", \"logical_representation\": [\"2019/10/23\", \"running\"], \"text_template_based\": \"I did running on 2019/10/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14858\", \"logical_representation\": [\"2019/10/23\", \"dinner\", \"fish and chips\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/10/23?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for dinner on 2019/10/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14859\", \"logical_representation\": [\"2019/10/23\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I watched a movie for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/23?\", \"33 minutes\"], [\"what did I watch on tv on 2019/10/23?\", \"a movie\"], [\"Did I watch tv on 2019/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/24\": {\"breakfast\": {\"eid\": \"e14860\", \"logical_representation\": [\"2019/10/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Piper, Lydia, Claire, Layla\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/10/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14861\", \"logical_representation\": [\"2019/10/24\", \"dinner\", \"fish and chips\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/10/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14862\", \"logical_representation\": [\"2019/10/24\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/10/24?\", \"51 minutes\"], [\"what did I read on 2019/10/24?\", \"social media\"], [\"Did I read on 2019/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/26\": {\"exercise\": {\"eid\": \"e14866\", \"logical_representation\": [\"2019/10/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/10/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14867\", \"logical_representation\": [\"2019/10/26\", \"breakfast\", \"cereals\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/10/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14868\", \"logical_representation\": [\"2019/10/26\", \"lunch\", \"sushi\", \"Benjamin\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14869\", \"logical_representation\": [\"2019/10/26\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/10/26?\", \"29 minutes\"], [\"what did I read on 2019/10/26?\", \"social media\"], [\"Did I read on 2019/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14870\", \"logical_representation\": [\"2019/10/26\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I watched a documentary for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/26?\", \"9 minutes\"], [\"what did I watch on tv on 2019/10/26?\", \"a documentary\"], [\"Did I watch tv on 2019/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/27\": {\"exercise\": {\"eid\": \"e14871\", \"logical_representation\": [\"2019/10/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/10/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14872\", \"logical_representation\": [\"2019/10/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/10/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14873\", \"logical_representation\": [\"2019/10/27\", \"lunch\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/10/27?\", \"Kayden\"], [\"what did I eat for lunch on 2019/10/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14874\", \"logical_representation\": [\"2019/10/27\", \"dinner\", \"fish and chips\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/10/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14875\", \"logical_representation\": [\"2019/10/27\", \"Layla, Nevaeh, Piper, Hazel\", \"in the early afternoon\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Layla, Nevaeh, Piper, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Piper, Hazel in the early afternoon on 2019/10/27?\", \"35 minutes\"], [\"who did I talk to on 2019/10/27?\", \"Layla, Nevaeh, Piper, Hazel\"], [\"Did I talk to Layla, Nevaeh, Piper, Hazel on 2019/10/27?\", \"yes\"], [\"Did I talk to anyone on 2019/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14876\", \"logical_representation\": [\"2019/10/27\", \"Nora, Eva, Lydia, Rylee\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Nora, Eva, Lydia, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Lydia, Rylee in the early evening on 2019/10/27?\", \"39 minutes\"], [\"who did I talk to on 2019/10/27?\", \"Nora, Eva, Lydia, Rylee\"], [\"Did I talk to Nora, Eva, Lydia, Rylee on 2019/10/27?\", \"yes\"], [\"Did I talk to anyone on 2019/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14877\", \"logical_representation\": [\"2019/10/27\", \"news\", \"45 minutes\"], \"text_template_based\": \"I watched news for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/27?\", \"45 minutes\"], [\"what did I watch on tv on 2019/10/27?\", \"news\"], [\"Did I watch tv on 2019/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/28\": {\"exercise\": {\"eid\": \"e14878\", \"logical_representation\": [\"2019/10/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/10/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14879\", \"logical_representation\": [\"2019/10/28\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/28?\", \"43 minutes\"], [\"what did I watch on tv on 2019/10/28?\", \"a movie\"], [\"Did I watch tv on 2019/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/29\": {\"exercise\": {\"eid\": \"e14880\", \"logical_representation\": [\"2019/10/29\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/10/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/29?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14881\", \"logical_representation\": [\"2019/10/29\", \"breakfast\", \"oatmeal\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/10/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14882\", \"logical_representation\": [\"2019/10/29\", \"lunch\", \"sushi\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/29\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14883\", \"logical_representation\": [\"2019/10/29\", \"Claire, Rylee, Piper, Layla\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Claire, Rylee, Piper, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Piper, Layla in the early evening on 2019/10/29?\", \"34 minutes\"], [\"who did I talk to on 2019/10/29?\", \"Claire, Rylee, Piper, Layla\"], [\"Did I talk to Claire, Rylee, Piper, Layla on 2019/10/29?\", \"yes\"], [\"Did I talk to anyone on 2019/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14884\", \"logical_representation\": [\"2019/10/29\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/10/29?\", \"46 minutes\"], [\"what did I read on 2019/10/29?\", \"news\"], [\"Did I read on 2019/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/30\": {\"exercise\": {\"eid\": \"e14885\", \"logical_representation\": [\"2019/10/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/10/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14886\", \"logical_representation\": [\"2019/10/30\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/30\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14887\", \"logical_representation\": [\"2019/10/30\", \"Kinsley, Lydia, Nora, Hazel\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia, Nora, Hazel for 48 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Nora, Hazel in the early evening on 2019/10/30?\", \"48 minutes\"], [\"who did I talk to on 2019/10/30?\", \"Kinsley, Lydia, Nora, Hazel\"], [\"Did I talk to Kinsley, Lydia, Nora, Hazel on 2019/10/30?\", \"yes\"], [\"Did I talk to anyone on 2019/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14888\", \"logical_representation\": [\"2019/10/30\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/10/30?\", \"45 minutes\"], [\"what did I read on 2019/10/30?\", \"news\"], [\"Did I read on 2019/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14889\", \"logical_representation\": [\"2019/10/30\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/30?\", \"31 minutes\"], [\"what did I watch on tv on 2019/10/30?\", \"news\"], [\"Did I watch tv on 2019/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/31\": {\"exercise\": {\"eid\": \"e14890\", \"logical_representation\": [\"2019/10/31\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/10/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/31?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14891\", \"logical_representation\": [\"2019/10/31\", \"breakfast\", \"oatmeal\", \"Lydia, Hazel, Rylee, Kinsley, Avery, Nevaeh, Nora, Claire, Layla, Piper, Olivia, Piper, Eva\"], \"text_template_based\": \"I had oatmeal for breakfast with Lydia, Hazel, Rylee, Kinsley, Avery, Nevaeh, Nora, Claire, Layla, Piper, Olivia, Piper, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/10/31?\", \"Lydia, Hazel, Rylee, Kinsley, Avery, Nevaeh, Nora, Claire, Layla, Piper, Olivia, Piper, Eva\"], [\"what did I eat for breakfast on 2019/10/31\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14892\", \"logical_representation\": [\"2019/10/31\", \"dinner\", \"sushi\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/10/31\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2019/11/02\": {\"lunch\": {\"eid\": \"e14895\", \"logical_representation\": [\"2019/11/02\", \"lunch\", \"fish and chips\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/11/02?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for lunch on 2019/11/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14896\", \"logical_representation\": [\"2019/11/02\", \"Lydia\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2019/11/02?\", \"22 minutes\"], [\"who did I talk to on 2019/11/02?\", \"Lydia\"], [\"Did I talk to Lydia on 2019/11/02?\", \"yes\"], [\"Did I talk to anyone on 2019/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14897\", \"logical_representation\": [\"2019/11/02\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/11/02?\", \"50 minutes\"], [\"what did I read on 2019/11/02?\", \"a book\"], [\"Did I read on 2019/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14898\", \"logical_representation\": [\"2019/11/02\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/02?\", \"22 minutes\"], [\"what did I watch on tv on 2019/11/02?\", \"a tv series\"], [\"Did I watch tv on 2019/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/03\": {\"dinner\": {\"eid\": \"e14899\", \"logical_representation\": [\"2019/11/03\", \"dinner\", \"tacos\", \"Avery, Benjamin\"], \"text_template_based\": \"I had dinner with Avery, Benjamin. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/11/03?\", \"Avery, Benjamin\"], [\"what did I eat for dinner on 2019/11/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14900\", \"logical_representation\": [\"2019/11/03\", \"Nora, Kinsley, Avery\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Nora, Kinsley, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Avery in the late afternoon on 2019/11/03?\", \"46 minutes\"], [\"who did I talk to on 2019/11/03?\", \"Nora, Kinsley, Avery\"], [\"Did I talk to Nora, Kinsley, Avery on 2019/11/03?\", \"yes\"], [\"Did I talk to anyone on 2019/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/05\": {\"lunch\": {\"eid\": \"e14905\", \"logical_representation\": [\"2019/11/05\", \"lunch\", \"sandwich\", \"Benjamin\"], \"text_template_based\": \"I had lunch with Benjamin. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/11/05?\", \"Benjamin\"], [\"what did I eat for lunch on 2019/11/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14906\", \"logical_representation\": [\"2019/11/05\", \"dinner\", \"sandwich\", \"Rylee, Piper, Claire, Avery\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14907\", \"logical_representation\": [\"2019/11/05\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/11/05?\", \"15 minutes\"], [\"what did I read on 2019/11/05?\", \"a book\"], [\"Did I read on 2019/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/06\": {\"lunch\": {\"eid\": \"e14908\", \"logical_representation\": [\"2019/11/06\", \"lunch\", \"a burger\", \"Willow\"], \"text_template_based\": \"I had lunch with Willow. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/11/06?\", \"Willow\"], [\"what did I eat for lunch on 2019/11/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14909\", \"logical_representation\": [\"2019/11/06\", \"dinner\", \"fish and chips\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14910\", \"logical_representation\": [\"2019/11/06\", \"Piper, Layla\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Piper, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla during lunch hours on 2019/11/06?\", \"55 minutes\"], [\"who did I talk to on 2019/11/06?\", \"Piper, Layla\"], [\"Did I talk to Piper, Layla on 2019/11/06?\", \"yes\"], [\"Did I talk to anyone on 2019/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14911\", \"logical_representation\": [\"2019/11/06\", \"Lydia, Avery\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery for 29 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery during lunch hours on 2019/11/06?\", \"29 minutes\"], [\"who did I talk to on 2019/11/06?\", \"Lydia, Avery\"], [\"Did I talk to Lydia, Avery on 2019/11/06?\", \"yes\"], [\"Did I talk to anyone on 2019/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/07\": {\"dinner\": {\"eid\": \"e14912\", \"logical_representation\": [\"2019/11/07\", \"dinner\", \"steak\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner with Carter, Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/11/07?\", \"Carter, Emily\"], [\"what did I eat for dinner on 2019/11/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14913\", \"logical_representation\": [\"2019/11/07\", \"Piper, Hazel, Nora\", \"late in the evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Nora for 48 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Nora late in the evening on 2019/11/07?\", \"48 minutes\"], [\"who did I talk to on 2019/11/07?\", \"Piper, Hazel, Nora\"], [\"Did I talk to Piper, Hazel, Nora on 2019/11/07?\", \"yes\"], [\"Did I talk to anyone on 2019/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14914\", \"logical_representation\": [\"2019/11/07\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/11/07?\", \"55 minutes\"], [\"what did I read on 2019/11/07?\", \"social media\"], [\"Did I read on 2019/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/08\": {\"exercise\": {\"eid\": \"e14915\", \"logical_representation\": [\"2019/11/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/11/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/11/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14916\", \"logical_representation\": [\"2019/11/08\", \"lunch\", \"fish and chips\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/11/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14917\", \"logical_representation\": [\"2019/11/08\", \"a book\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/11/08?\", \"31 minutes\"], [\"what did I read on 2019/11/08?\", \"a book\"], [\"Did I read on 2019/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14918\", \"logical_representation\": [\"2019/11/08\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/08?\", \"26 minutes\"], [\"what did I watch on tv on 2019/11/08?\", \"a movie\"], [\"Did I watch tv on 2019/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/09\": {\"social media\": {\"eid\": \"e14919\", \"logical_representation\": [\"2019/11/09\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/11/09?\", \"28 minutes\"], [\"what did I read on 2019/11/09?\", \"social media\"], [\"Did I read on 2019/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14920\", \"logical_representation\": [\"2019/11/09\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I watched a tv series for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/09?\", \"32 minutes\"], [\"what did I watch on tv on 2019/11/09?\", \"a tv series\"], [\"Did I watch tv on 2019/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/10\": {\"breakfast\": {\"eid\": \"e14921\", \"logical_representation\": [\"2019/11/10\", \"breakfast\", \"toast and cheese\", \"Avery\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14922\", \"logical_representation\": [\"2019/11/10\", \"lunch\", \"sushi\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/11/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14923\", \"logical_representation\": [\"2019/11/10\", \"dinner\", \"steak\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14924\", \"logical_representation\": [\"2019/11/10\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/11/10?\", \"27 minutes\"], [\"what did I read on 2019/11/10?\", \"social media\"], [\"Did I read on 2019/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/11\": {\"exercise\": {\"eid\": \"e14925\", \"logical_representation\": [\"2019/11/11\", \"running\"], \"text_template_based\": \"I did running on 2019/11/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/11/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14926\", \"logical_representation\": [\"2019/11/11\", \"lunch\", \"indian food\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had indian food for lunch with Andrew, Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/11/11?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2019/11/11\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/11/12\": {\"exercise\": {\"eid\": \"e14927\", \"logical_representation\": [\"2019/11/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/11/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/11/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e14928\", \"logical_representation\": [\"2019/11/12\", \"breakfast\", \"pancakes\", \"Kinsley, Layla, Hazel, Piper, Piper, Nora, Lydia, Avery, Nevaeh, Eva, Olivia\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14929\", \"logical_representation\": [\"2019/11/12\", \"lunch\", \"steak\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/11/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14930\", \"logical_representation\": [\"2019/11/12\", \"dinner\", \"tacos\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had tacos for dinner with Emily, Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/11/12?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for dinner on 2019/11/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14931\", \"logical_representation\": [\"2019/11/12\", \"Claire, Kinsley, Olivia\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Claire, Kinsley, Olivia for 50 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Olivia in the early evening on 2019/11/12?\", \"50 minutes\"], [\"who did I talk to on 2019/11/12?\", \"Claire, Kinsley, Olivia\"], [\"Did I talk to Claire, Kinsley, Olivia on 2019/11/12?\", \"yes\"], [\"Did I talk to anyone on 2019/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14932\", \"logical_representation\": [\"2019/11/12\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/12?\", \"7 minutes\"], [\"what did I watch on tv on 2019/11/12?\", \"a documentary\"], [\"Did I watch tv on 2019/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/13\": {\"exercise\": {\"eid\": \"e14933\", \"logical_representation\": [\"2019/11/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/11/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/11/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14934\", \"logical_representation\": [\"2019/11/13\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/11/13?\", \"38 minutes\"], [\"what did I read on 2019/11/13?\", \"a book\"], [\"Did I read on 2019/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14935\", \"logical_representation\": [\"2019/11/13\", \"a movie\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/13?\", \"44 minutes\"], [\"what did I watch on tv on 2019/11/13?\", \"a movie\"], [\"Did I watch tv on 2019/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/14\": {\"lunch\": {\"eid\": \"e14936\", \"logical_representation\": [\"2019/11/14\", \"lunch\", \"chinese food\", \"Layla, Lydia\"], \"text_template_based\": \"I had lunch with Layla, Lydia. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/11/14?\", \"Layla, Lydia\"], [\"what did I eat for lunch on 2019/11/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14937\", \"logical_representation\": [\"2019/11/14\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/11/14?\", \"50 minutes\"], [\"what did I read on 2019/11/14?\", \"a book\"], [\"Did I read on 2019/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/15\": {\"breakfast\": {\"eid\": \"e14938\", \"logical_representation\": [\"2019/11/15\", \"breakfast\", \"pancakes\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14939\", \"logical_representation\": [\"2019/11/15\", \"lunch\", \"sushi\", \"Nevaeh, Piper, Nora, Olivia, Piper, Rylee, Eva, Lydia, Layla, Hazel, Kinsley, Avery, Claire\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/11/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14940\", \"logical_representation\": [\"2019/11/15\", \"Piper\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Piper for 53 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2019/11/15?\", \"53 minutes\"], [\"who did I talk to on 2019/11/15?\", \"Piper\"], [\"Did I talk to Piper on 2019/11/15?\", \"yes\"], [\"Did I talk to anyone on 2019/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14941\", \"logical_representation\": [\"2019/11/15\", \"Claire, Kinsley\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I talked to Claire, Kinsley for 33 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley late in the evening on 2019/11/15?\", \"33 minutes\"], [\"who did I talk to on 2019/11/15?\", \"Claire, Kinsley\"], [\"Did I talk to Claire, Kinsley on 2019/11/15?\", \"yes\"], [\"Did I talk to anyone on 2019/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14942\", \"logical_representation\": [\"2019/11/15\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/11/15?\", \"16 minutes\"], [\"what did I read on 2019/11/15?\", \"a book\"], [\"Did I read on 2019/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14943\", \"logical_representation\": [\"2019/11/15\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/15?\", \"27 minutes\"], [\"what did I watch on tv on 2019/11/15?\", \"a documentary\"], [\"Did I watch tv on 2019/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/16\": {\"exercise\": {\"eid\": \"e14944\", \"logical_representation\": [\"2019/11/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/11/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/11/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14945\", \"logical_representation\": [\"2019/11/16\", \"Eva, Kinsley, Nora, Lydia\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Eva, Kinsley, Nora, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Nora, Lydia in the early afternoon on 2019/11/16?\", \"7 minutes\"], [\"who did I talk to on 2019/11/16?\", \"Eva, Kinsley, Nora, Lydia\"], [\"Did I talk to Eva, Kinsley, Nora, Lydia on 2019/11/16?\", \"yes\"], [\"Did I talk to anyone on 2019/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/17\": {\"breakfast\": {\"eid\": \"e14946\", \"logical_representation\": [\"2019/11/17\", \"breakfast\", \"toast and cheese\", \"Nora, Claire, Rylee, Piper, Olivia, Eva, Nevaeh, Kinsley, Piper, Hazel, Layla, Avery\"], \"text_template_based\": \"I had toast and cheese for breakfast with Nora, Claire, Rylee, Piper, Olivia, Eva, Nevaeh, Kinsley, Piper, Hazel, Layla, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/11/17?\", \"Nora, Claire, Rylee, Piper, Olivia, Eva, Nevaeh, Kinsley, Piper, Hazel, Layla, Avery\"], [\"what did I eat for breakfast on 2019/11/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14947\", \"logical_representation\": [\"2019/11/17\", \"lunch\", \"steak\", \"Nora, Piper, Avery, Kinsley, Rylee, Claire, Lydia\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/11/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14948\", \"logical_representation\": [\"2019/11/17\", \"Avery, Lydia, Nora\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia, Nora for 6 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Nora in the early afternoon on 2019/11/17?\", \"6 minutes\"], [\"who did I talk to on 2019/11/17?\", \"Avery, Lydia, Nora\"], [\"Did I talk to Avery, Lydia, Nora on 2019/11/17?\", \"yes\"], [\"Did I talk to anyone on 2019/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/18\": {\"breakfast\": {\"eid\": \"e14949\", \"logical_representation\": [\"2019/11/18\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Avery\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/11/18?\", \"Willow, Avery\"], [\"what did I eat for breakfast on 2019/11/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14950\", \"logical_representation\": [\"2019/11/18\", \"dinner\", \"sushi\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Emily, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/11/18?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for dinner on 2019/11/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e14951\", \"logical_representation\": [\"2019/11/18\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/11/18?\", \"6 minutes\"], [\"what did I read on 2019/11/18?\", \"news\"], [\"Did I read on 2019/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/19\": {\"dinner\": {\"eid\": \"e14952\", \"logical_representation\": [\"2019/11/19\", \"dinner\", \"steak\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/19\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2019/11/20\": {\"breakfast\": {\"eid\": \"e14953\", \"logical_representation\": [\"2019/11/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14954\", \"logical_representation\": [\"2019/11/20\", \"Nora, Lydia, Nevaeh\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Nora, Lydia, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Nevaeh in the early afternoon on 2019/11/20?\", \"49 minutes\"], [\"who did I talk to on 2019/11/20?\", \"Nora, Lydia, Nevaeh\"], [\"Did I talk to Nora, Lydia, Nevaeh on 2019/11/20?\", \"yes\"], [\"Did I talk to anyone on 2019/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14955\", \"logical_representation\": [\"2019/11/20\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I watched a documentary for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/20?\", \"23 minutes\"], [\"what did I watch on tv on 2019/11/20?\", \"a documentary\"], [\"Did I watch tv on 2019/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/21\": {\"breakfast\": {\"eid\": \"e14956\", \"logical_representation\": [\"2019/11/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee, Claire, Eva, Hazel, Lydia, Olivia, Piper, Layla, Piper, Nora, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14957\", \"logical_representation\": [\"2019/11/21\", \"Olivia\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2019/11/21?\", \"8 minutes\"], [\"who did I talk to on 2019/11/21?\", \"Olivia\"], [\"Did I talk to Olivia on 2019/11/21?\", \"yes\"], [\"Did I talk to anyone on 2019/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14958\", \"logical_representation\": [\"2019/11/21\", \"a documentary\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/21?\", \"21 minutes\"], [\"what did I watch on tv on 2019/11/21?\", \"a documentary\"], [\"Did I watch tv on 2019/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/24\": {\"breakfast\": {\"eid\": \"e14969\", \"logical_representation\": [\"2019/11/24\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14970\", \"logical_representation\": [\"2019/11/24\", \"lunch\", \"steak\", \"Avery, Benjamin\"], \"text_template_based\": \"I had steak for lunch with Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/11/24?\", \"Avery, Benjamin\"], [\"what did I eat for lunch on 2019/11/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14971\", \"logical_representation\": [\"2019/11/24\", \"dinner\", \"tacos\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14972\", \"logical_representation\": [\"2019/11/24\", \"Nora, Olivia\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia during lunch hours on 2019/11/24?\", \"26 minutes\"], [\"who did I talk to on 2019/11/24?\", \"Nora, Olivia\"], [\"Did I talk to Nora, Olivia on 2019/11/24?\", \"yes\"], [\"Did I talk to anyone on 2019/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e14973\", \"logical_representation\": [\"2019/11/24\", \"Claire, Avery\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I talked to Claire, Avery for 54 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery in the morning on 2019/11/24?\", \"54 minutes\"], [\"who did I talk to on 2019/11/24?\", \"Claire, Avery\"], [\"Did I talk to Claire, Avery on 2019/11/24?\", \"yes\"], [\"Did I talk to anyone on 2019/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/25\": {\"lunch\": {\"eid\": \"e14974\", \"logical_representation\": [\"2019/11/25\", \"lunch\", \"fish and chips\", \"Hazel, Claire, Olivia, Piper, Eva, Rylee, Piper, Layla, Kinsley\"], \"text_template_based\": \"I had fish and chips for lunch with Hazel, Claire, Olivia, Piper, Eva, Rylee, Piper, Layla, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/11/25?\", \"Hazel, Claire, Olivia, Piper, Eva, Rylee, Piper, Layla, Kinsley\"], [\"what did I eat for lunch on 2019/11/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14975\", \"logical_representation\": [\"2019/11/25\", \"Nevaeh, Claire, Nora\", \"in the 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{\"eid\": \"e14981\", \"logical_representation\": [\"2019/11/27\", \"lunch\", \"indian food\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I had indian food for lunch with Willow, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/11/27?\", \"Willow, Avery, Jackson\"], [\"what did I eat for lunch on 2019/11/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14982\", \"logical_representation\": [\"2019/11/27\", \"dinner\", \"steak\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14983\", \"logical_representation\": [\"2019/11/27\", \"Nora\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2019/11/27?\", \"24 minutes\"], [\"who did I talk to on 2019/11/27?\", \"Nora\"], [\"Did I talk to Nora on 2019/11/27?\", \"yes\"], [\"Did I talk to anyone on 2019/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e14984\", \"logical_representation\": [\"2019/11/27\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/11/27?\", \"11 minutes\"], [\"what did I read on 2019/11/27?\", \"social media\"], [\"Did I read on 2019/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/29\": {\"breakfast\": {\"eid\": \"e14987\", \"logical_representation\": [\"2019/11/29\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e14988\", \"logical_representation\": [\"2019/11/29\", \"lunch\", \"chinese food\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/11/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e14989\", \"logical_representation\": [\"2019/11/29\", \"dinner\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/11/29?\", \"Kayden\"], [\"what did I eat for dinner on 2019/11/29\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14990\", \"logical_representation\": [\"2019/11/29\", \"Nevaeh, Kinsley, Avery\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Kinsley, Avery for 19 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Avery in the morning on 2019/11/29?\", \"19 minutes\"], [\"who did I talk to on 2019/11/29?\", \"Nevaeh, Kinsley, Avery\"], [\"Did I talk to Nevaeh, Kinsley, Avery on 2019/11/29?\", \"yes\"], [\"Did I talk to anyone on 2019/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/30\": {\"dinner\": {\"eid\": \"e14991\", \"logical_representation\": [\"2019/11/30\", \"dinner\", \"pasta\", \"Willow, Benjamin\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e14992\", \"logical_representation\": [\"2019/11/30\", \"Claire\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2019/11/30?\", \"51 minutes\"], [\"who did I talk to on 2019/11/30?\", \"Claire\"], [\"Did I talk to Claire on 2019/11/30?\", \"yes\"], [\"Did I talk to anyone on 2019/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e14993\", \"logical_representation\": [\"2019/11/30\", \"a movie\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/30?\", \"38 minutes\"], [\"what did I watch on tv on 2019/11/30?\", \"a movie\"], [\"Did I watch tv on 2019/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/03\": {\"chat0\": {\"eid\": \"e15003\", \"logical_representation\": [\"2019/12/03\", \"Olivia, Kinsley, Layla, Eva\", \"during lunch hours\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Olivia, Kinsley, Layla, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Layla, Eva during lunch hours on 2019/12/03?\", \"32 minutes\"], [\"who did I talk to on 2019/12/03?\", \"Olivia, Kinsley, Layla, Eva\"], [\"Did I talk to Olivia, Kinsley, Layla, Eva on 2019/12/03?\", \"yes\"], [\"Did I talk to anyone on 2019/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15004\", \"logical_representation\": [\"2019/12/03\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/12/03?\", \"27 minutes\"], [\"what did I read on 2019/12/03?\", \"social media\"], [\"Did I read on 2019/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15005\", \"logical_representation\": [\"2019/12/03\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I watched a movie for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/03?\", \"25 minutes\"], [\"what did I watch on tv on 2019/12/03?\", \"a movie\"], [\"Did I watch tv on 2019/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/04\": {\"breakfast\": {\"eid\": \"e15006\", \"logical_representation\": [\"2019/12/04\", \"breakfast\", \"pancakes\", \"Rylee\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/12/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15007\", \"logical_representation\": [\"2019/12/04\", \"lunch\", \"steak\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had steak for lunch with Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/12/04?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2019/12/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15008\", \"logical_representation\": [\"2019/12/04\", \"Lydia, Avery, Hazel\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery, Hazel for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Hazel in the early afternoon on 2019/12/04?\", \"7 minutes\"], [\"who did I talk to on 2019/12/04?\", \"Lydia, Avery, Hazel\"], [\"Did I talk to Lydia, Avery, Hazel on 2019/12/04?\", \"yes\"], [\"Did I talk to anyone on 2019/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15009\", \"logical_representation\": [\"2019/12/04\", \"news\", \"44 minutes\"], \"text_template_based\": \"I watched news for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/04?\", \"44 minutes\"], [\"what did I watch on tv on 2019/12/04?\", \"news\"], [\"Did I watch tv on 2019/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/05\": {\"dinner\": {\"eid\": \"e15010\", \"logical_representation\": [\"2019/12/05\", \"dinner\", \"sandwich\", \"Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/12/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15011\", \"logical_representation\": [\"2019/12/05\", \"Olivia\", \"during lunch hours\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2019/12/05?\", \"45 minutes\"], [\"who did I talk to on 2019/12/05?\", \"Olivia\"], [\"Did I talk to Olivia on 2019/12/05?\", \"yes\"], [\"Did I talk to anyone on 2019/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15012\", \"logical_representation\": [\"2019/12/05\", \"Nevaeh, Lydia, Piper, Olivia\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Nevaeh, Lydia, Piper, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Piper, Olivia in the late afternoon on 2019/12/05?\", \"50 minutes\"], [\"who did I talk to on 2019/12/05?\", \"Nevaeh, Lydia, Piper, Olivia\"], [\"Did I talk to Nevaeh, Lydia, Piper, Olivia on 2019/12/05?\", \"yes\"], [\"Did I talk to anyone on 2019/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15013\", \"logical_representation\": [\"2019/12/05\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/12/05?\", \"34 minutes\"], [\"what did I read on 2019/12/05?\", \"news\"], [\"Did I read on 2019/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/07\": {\"exercise\": {\"eid\": \"e15018\", \"logical_representation\": [\"2019/12/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/12/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15019\", \"logical_representation\": [\"2019/12/07\", \"breakfast\", \"oatmeal\", \"Piper, Hazel, Rylee, Eva, Layla, Lydia, Kinsley, Piper, Nora\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/12/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15020\", \"logical_representation\": [\"2019/12/07\", \"lunch\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/12/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15021\", \"logical_representation\": [\"2019/12/07\", \"dinner\", \"chinese food\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had chinese food for dinner with Kayden, Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/12/07?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2019/12/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15022\", \"logical_representation\": [\"2019/12/07\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/12/07?\", \"11 minutes\"], [\"what did I read on 2019/12/07?\", \"social media\"], [\"Did I read on 2019/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/08\": {\"exercise\": {\"eid\": \"e15023\", \"logical_representation\": [\"2019/12/08\", \"biking\"], \"text_template_based\": \"I did biking on 2019/12/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/08?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15024\", \"logical_representation\": [\"2019/12/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Rylee, Nevaeh, Piper, Nora, Hazel, Piper, Kinsley, Lydia\"], \"text_template_based\": \"I had breakfast with Claire, Rylee, Nevaeh, Piper, Nora, Hazel, Piper, Kinsley, Lydia. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/12/08?\", \"Claire, Rylee, Nevaeh, Piper, Nora, Hazel, Piper, Kinsley, Lydia\"], [\"what did I eat for breakfast on 2019/12/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15025\", \"logical_representation\": [\"2019/12/08\", \"lunch\", \"sandwich\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/12/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15026\", \"logical_representation\": [\"2019/12/08\", \"dinner\", \"sandwich\", \"Piper, Nevaeh, Lydia, Piper, Claire, Rylee, Kinsley, Avery, Nora, Olivia, Hazel, Eva\"], \"text_template_based\": \"I had sandwich for dinner with Piper, Nevaeh, Lydia, Piper, Claire, Rylee, Kinsley, Avery, Nora, Olivia, Hazel, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/12/08?\", \"Piper, Nevaeh, Lydia, Piper, Claire, Rylee, Kinsley, Avery, Nora, Olivia, Hazel, Eva\"], [\"what did I eat for dinner on 2019/12/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15027\", \"logical_representation\": [\"2019/12/08\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/12/08?\", \"22 minutes\"], [\"what did I read on 2019/12/08?\", \"social media\"], [\"Did I read on 2019/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/10\": {\"exercise\": {\"eid\": \"e15031\", \"logical_representation\": [\"2019/12/10\", \"biking\"], \"text_template_based\": \"I did biking on 2019/12/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15032\", \"logical_representation\": [\"2019/12/10\", \"dinner\", \"a burger\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/12/10?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for dinner on 2019/12/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15033\", \"logical_representation\": [\"2019/12/10\", \"a documentary\", \"18 minutes\"], \"text_template_based\": \"I watched a documentary for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/10?\", \"18 minutes\"], [\"what did I watch on tv on 2019/12/10?\", \"a documentary\"], [\"Did I watch tv on 2019/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/11\": {\"exercise\": {\"eid\": \"e15034\", \"logical_representation\": [\"2019/12/11\", \"biking\"], \"text_template_based\": \"I did biking on 2019/12/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15035\", \"logical_representation\": [\"2019/12/11\", \"dinner\", \"steak\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Kayden, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/12/11?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for dinner on 2019/12/11\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2019/12/12\": {\"breakfast\": {\"eid\": \"e15036\", \"logical_representation\": [\"2019/12/12\", \"breakfast\", \"oatmeal\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had oatmeal for breakfast with Benjamin, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/12/12?\", \"Benjamin, Jackson, Avery\"], [\"what did I eat for breakfast on 2019/12/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15037\", \"logical_representation\": [\"2019/12/12\", \"lunch\", \"a burger\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/12/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15038\", \"logical_representation\": [\"2019/12/12\", \"Hazel, Piper, Nora, Claire\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Hazel, Piper, Nora, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Nora, Claire in the early evening on 2019/12/12?\", \"30 minutes\"], [\"who did I talk to on 2019/12/12?\", \"Hazel, Piper, Nora, Claire\"], [\"Did I talk to Hazel, Piper, Nora, Claire on 2019/12/12?\", \"yes\"], [\"Did I talk to anyone on 2019/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15039\", \"logical_representation\": [\"2019/12/12\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/12/12?\", \"54 minutes\"], [\"what did I read on 2019/12/12?\", \"news\"], [\"Did I read on 2019/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15040\", \"logical_representation\": [\"2019/12/12\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/12?\", \"6 minutes\"], [\"what did I watch on tv on 2019/12/12?\", \"a tv series\"], [\"Did I watch tv on 2019/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/14\": {\"exercise\": {\"eid\": \"e15043\", \"logical_representation\": [\"2019/12/14\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/12/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/14?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15044\", \"logical_representation\": [\"2019/12/14\", \"lunch\", \"fish and chips\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/12/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15045\", \"logical_representation\": [\"2019/12/14\", \"Layla\", \"in the early evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2019/12/14?\", \"45 minutes\"], [\"who did I talk to on 2019/12/14?\", \"Layla\"], [\"Did I talk to Layla on 2019/12/14?\", \"yes\"], [\"Did I talk to anyone on 2019/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15046\", \"logical_representation\": [\"2019/12/14\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/14?\", \"26 minutes\"], [\"what did I watch on tv on 2019/12/14?\", \"news\"], [\"Did I watch tv on 2019/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/17\": {\"lunch\": {\"eid\": \"e15057\", \"logical_representation\": [\"2019/12/17\", \"lunch\", \"tacos\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/12/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15058\", \"logical_representation\": [\"2019/12/17\", \"dinner\", \"chinese food\", \"Avery, Jackson\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/12/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15059\", \"logical_representation\": [\"2019/12/17\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/12/17?\", \"6 minutes\"], [\"what did I read on 2019/12/17?\", \"news\"], [\"Did I read on 2019/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/19\": {\"breakfast\": {\"eid\": \"e15062\", \"logical_representation\": [\"2019/12/19\", \"breakfast\", \"pancakes\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/12/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15063\", \"logical_representation\": [\"2019/12/19\", \"lunch\", \"sandwich\", \"Piper, Claire, Layla, Nora\"], \"text_template_based\": \"I had sandwich for lunch with Piper, Claire, Layla, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/12/19?\", \"Piper, Claire, Layla, Nora\"], [\"what did I eat for lunch on 2019/12/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15064\", \"logical_representation\": [\"2019/12/19\", \"Piper, Kinsley, Nora\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Nora for 7 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Nora during lunch hours on 2019/12/19?\", \"7 minutes\"], [\"who did I talk to on 2019/12/19?\", \"Piper, Kinsley, Nora\"], [\"Did I talk to Piper, Kinsley, Nora on 2019/12/19?\", \"yes\"], [\"Did I talk to anyone on 2019/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15065\", \"logical_representation\": [\"2019/12/19\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/12/19?\", \"44 minutes\"], [\"what did I read on 2019/12/19?\", \"a book\"], [\"Did I read on 2019/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/20\": {\"breakfast\": {\"eid\": \"e15066\", \"logical_representation\": [\"2019/12/20\", \"breakfast\", \"cereals\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/12/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15067\", \"logical_representation\": [\"2019/12/20\", \"lunch\", \"chinese food\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/12/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15068\", \"logical_representation\": [\"2019/12/20\", \"dinner\", \"tacos\", \"Hazel\"], \"text_template_based\": \"I had dinner with Hazel. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/12/20?\", \"Hazel\"], [\"what did I eat for dinner on 2019/12/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15069\", \"logical_representation\": [\"2019/12/20\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/12/20?\", \"5 minutes\"], [\"what did I read on 2019/12/20?\", \"news\"], [\"Did I read on 2019/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/21\": {\"exercise\": {\"eid\": \"e15070\", \"logical_representation\": [\"2019/12/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/12/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15071\", \"logical_representation\": [\"2019/12/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow\"], \"text_template_based\": \"I had breakfast with Willow. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/12/21?\", \"Willow\"], [\"what did I eat for breakfast on 2019/12/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15072\", \"logical_representation\": [\"2019/12/21\", \"Claire, Hazel, Nora\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I talked to Claire, Hazel, Nora for 9 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Nora in the late afternoon on 2019/12/21?\", \"9 minutes\"], [\"who did I talk to on 2019/12/21?\", \"Claire, Hazel, Nora\"], [\"Did I talk to Claire, Hazel, Nora on 2019/12/21?\", \"yes\"], [\"Did I talk to anyone on 2019/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15073\", \"logical_representation\": [\"2019/12/21\", \"Rylee, Lydia, Claire\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Rylee, Lydia, Claire for 13 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Claire in the late afternoon on 2019/12/21?\", \"13 minutes\"], [\"who did I talk to on 2019/12/21?\", \"Rylee, Lydia, Claire\"], [\"Did I talk to Rylee, Lydia, Claire on 2019/12/21?\", \"yes\"], [\"Did I talk to anyone on 2019/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/23\": {\"exercise\": {\"eid\": \"e15078\", \"logical_representation\": [\"2019/12/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/12/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15079\", \"logical_representation\": [\"2019/12/23\", \"lunch\", \"pasta\", \"Nora, Nevaeh, Eva, Hazel, Claire\"], \"text_template_based\": \"I had pasta for lunch with Nora, Nevaeh, Eva, Hazel, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/12/23?\", \"Nora, Nevaeh, Eva, Hazel, Claire\"], [\"what did I eat for lunch on 2019/12/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15080\", \"logical_representation\": [\"2019/12/23\", \"Nora, Avery, Eva\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Nora, Avery, Eva for 51 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery, Eva in the late afternoon on 2019/12/23?\", \"51 minutes\"], [\"who did I talk to on 2019/12/23?\", \"Nora, Avery, Eva\"], [\"Did I talk to Nora, Avery, Eva on 2019/12/23?\", \"yes\"], [\"Did I talk to anyone on 2019/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15081\", \"logical_representation\": [\"2019/12/23\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/12/23?\", \"50 minutes\"], [\"what did I read on 2019/12/23?\", \"news\"], [\"Did I read on 2019/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/24\": {\"exercise\": {\"eid\": \"e15082\", \"logical_representation\": [\"2019/12/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/12/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15083\", \"logical_representation\": [\"2019/12/24\", \"breakfast\", \"pancakes\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had pancakes for breakfast with Willow, Jackson, Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/12/24?\", \"Willow, Jackson, Avery, Benjamin\"], [\"what did I eat for breakfast on 2019/12/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15084\", \"logical_representation\": [\"2019/12/24\", \"lunch\", \"fish and chips\", \"Carter, Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/12/24?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2019/12/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15085\", \"logical_representation\": [\"2019/12/24\", \"Lydia\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Lydia for 17 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the late afternoon on 2019/12/24?\", \"17 minutes\"], [\"who did I talk to on 2019/12/24?\", \"Lydia\"], [\"Did I talk to Lydia on 2019/12/24?\", \"yes\"], [\"Did I talk to anyone on 2019/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15086\", \"logical_representation\": [\"2019/12/24\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/24?\", \"24 minutes\"], [\"what did I watch on tv on 2019/12/24?\", \"a tv series\"], [\"Did I watch tv on 2019/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/25\": {\"exercise\": {\"eid\": \"e15087\", \"logical_representation\": [\"2019/12/25\", \"biking\"], \"text_template_based\": \"I did biking on 2019/12/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/25?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15088\", \"logical_representation\": [\"2019/12/25\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/12/25\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15089\", \"logical_representation\": [\"2019/12/25\", \"dinner\", \"pasta\", \"Claire, Nevaeh, Kinsley, Hazel, Rylee, Olivia, Nora, Piper\"], \"text_template_based\": \"I had pasta for dinner with Claire, Nevaeh, Kinsley, Hazel, Rylee, Olivia, Nora, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/12/25?\", \"Claire, Nevaeh, Kinsley, Hazel, Rylee, Olivia, Nora, Piper\"], [\"what did I eat for dinner on 2019/12/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15090\", \"logical_representation\": [\"2019/12/25\", \"Nora, Olivia\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Nora, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia late in the evening on 2019/12/25?\", \"24 minutes\"], [\"who did I talk to on 2019/12/25?\", \"Nora, Olivia\"], [\"Did I talk to Nora, Olivia on 2019/12/25?\", \"yes\"], [\"Did I talk to anyone on 2019/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/26\": {\"exercise\": {\"eid\": \"e15091\", \"logical_representation\": [\"2019/12/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/12/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15092\", \"logical_representation\": [\"2019/12/26\", \"breakfast\", \"cereals\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/12/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15093\", \"logical_representation\": [\"2019/12/26\", \"dinner\", \"tacos\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had tacos for dinner with Andrew, Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/12/26?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for dinner on 2019/12/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15094\", \"logical_representation\": [\"2019/12/26\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/12/26?\", \"52 minutes\"], [\"what did I read on 2019/12/26?\", \"a book\"], [\"Did I read on 2019/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/27\": {\"breakfast\": {\"eid\": \"e15095\", \"logical_representation\": [\"2019/12/27\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/12/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15096\", \"logical_representation\": [\"2019/12/27\", \"lunch\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I had indian food for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/12/27?\", \"Kayden\"], [\"what did I eat for lunch on 2019/12/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15097\", \"logical_representation\": [\"2019/12/27\", \"Piper, Layla, Piper\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Piper, Layla, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Piper in the early evening on 2019/12/27?\", \"9 minutes\"], [\"who did I talk to on 2019/12/27?\", \"Piper, Layla, Piper\"], [\"Did I talk to Piper, Layla, Piper on 2019/12/27?\", \"yes\"], [\"Did I talk to anyone on 2019/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15098\", \"logical_representation\": [\"2019/12/27\", \"Piper\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Piper for 11 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2019/12/27?\", \"11 minutes\"], [\"who did I talk to on 2019/12/27?\", \"Piper\"], [\"Did I talk to Piper on 2019/12/27?\", \"yes\"], [\"Did I talk to anyone on 2019/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/29\": {\"exercise\": {\"eid\": \"e15102\", \"logical_representation\": [\"2019/12/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/12/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15103\", \"logical_representation\": [\"2019/12/29\", \"lunch\", \"tacos\", \"Avery, Olivia, Rylee, Lydia, Piper, Piper, Hazel, Nora, Eva, Kinsley, Nevaeh, Layla, Claire\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/12/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15104\", \"logical_representation\": [\"2019/12/29\", \"dinner\", \"pasta\", \"Avery\"], \"text_template_based\": \"I had pasta for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/12/29?\", \"Avery\"], [\"what did I eat for dinner on 2019/12/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15105\", \"logical_representation\": [\"2019/12/29\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I watched a movie for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/29?\", \"14 minutes\"], [\"what did I watch on tv on 2019/12/29?\", \"a movie\"], [\"Did I watch tv on 2019/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/30\": {\"breakfast\": {\"eid\": \"e15106\", \"logical_representation\": [\"2019/12/30\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/12/30\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15107\", \"logical_representation\": [\"2019/12/30\", \"dinner\", \"sushi\", \"Piper, Hazel, Piper, Olivia, Kinsley, Lydia, Layla, Rylee, Claire\"], \"text_template_based\": \"I had dinner. 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I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/02/09?\", \"Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2020/02/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15387\", \"logical_representation\": [\"2020/02/09\", \"dinner\", \"a burger\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner with Carter, Emily. 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\"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15394\", \"logical_representation\": [\"2020/02/10\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/02/10?\", \"50 minutes\"], [\"what did I read on 2020/02/10?\", \"social media\"], [\"Did I read on 2020/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/11\": {\"places_visited\": {\"eid\": \"e15117\", \"logical_representation\": [\"2020/02/11\", [\"Carter\", \"Andrew\", \"Emily\"], \"Qutub Minar\", \"recorded some videos\", \"impressed\"], \"text_template_based\": \"During my trip to New Delhi, India, I visited Qutub Minar on 2020/02 with Carter, Andrew, Emily.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to New Delhi, India on 2020/02\", \"Qutub Minar\"], [\"when did I visit Qutub Minar during my 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[\"2020/02/12\", [\"Carter\", \"Andrew\", \"Emily\"], \"Lodi Gardens\", \"recorded some videos\", \"happy\"], \"text_template_based\": \"During my trip to New Delhi, India, I visited Lodi Gardens on 2020/02 with Carter, Andrew, Emily.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to New Delhi, India on 2020/02\", \"Lodi Gardens\"], [\"when did I visit Lodi Gardens during my trip to New Delhi, India\", \"2020/02/12\"], [\"when did I visit Lodi Gardens \", \"2020/02/12\"], [\"who went with me to visit Lodi Gardens ?\", \"Carter, Andrew, Emily\"], [\"who went with me to visit Lodi Gardens during my trip to New Delhi, India on 2020/02?\", \"Carter, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e15122\", \"logical_representation\": [\"2020/02/12\", [\"Carter\", \"Andrew\", \"Emily\"], \"street food\", \"Chawri Bazar\"], \"text_template_based\": \"I ate street food at Chawri Bazar with Carter, Andrew, Emily on  2020/02/12 when I was in New Delhi, India.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat street food with at Chawri Bazar ?\", \"Carter, Andrew, Emily\"], [\"who did I eat street food with?\", \"Carter, Andrew, Emily\"], [\"where did we eat street food during our trip to New Delhi, India on  2020/02/12?\", \"Chawri Bazar\"], [\"when did we eat street food at Chawri Bazar during our trip to New Delhi, India?\", \"2020/02/12\"], [\"when did we eat at Chawri Bazar?\", \"2020/02/12\"], [\"when did we eat street food?\", \"2020/02/12\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15397\", \"logical_representation\": [\"2020/02/12\", \"breakfast\", \"toast and cheese\", \"Hazel, Kinsley, Layla, Lydia, Piper, Nevaeh\"], \"text_template_based\": \"I had breakfast. 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{\"eid\": \"e16249\", \"logical_representation\": [\"2020/09/28\", \"biking\"], \"text_template_based\": \"I did biking on 2020/09/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16250\", \"logical_representation\": [\"2020/09/28\", \"dinner\", \"a burger\", \"Carter\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16251\", \"logical_representation\": [\"2020/09/28\", \"Layla\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2020/09/28?\", \"14 minutes\"], [\"who did I talk to on 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I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/04/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15651\", \"logical_representation\": [\"2020/04/18\", \"dinner\", \"tacos\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Emily, Andrew, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/04/18?\", \"Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2020/04/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15652\", \"logical_representation\": [\"2020/04/18\", \"Avery\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I talked to Avery for 44 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2020/04/18?\", \"44 minutes\"], [\"who did I talk to on 2020/04/18?\", \"Avery\"], [\"Did I talk to Avery on 2020/04/18?\", \"yes\"], [\"Did I talk to anyone on 2020/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15653\", \"logical_representation\": [\"2020/04/18\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I watched a tv series for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/04/18?\", \"10 minutes\"], [\"what did I watch on tv on 2020/04/18?\", \"a tv series\"], [\"Did I watch tv on 2020/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/15\": {\"parent_medical_care\": {\"eid\": \"e15126\", \"logical_representation\": [\"2020/05/15\", \"my parents for their and I went for an annual dental cleaning and checkup at the private clinic on 2020/05/15.\", \"private clinic\"], \"text_template_based\": \"my parents for their and I went for an annual dental cleaning and checkup at the private clinic on 2020/05/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2020?\", \"2020/05/15\"], [\"what did I do on 2020/05/15\", \"I took my parents for their for an  annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"bake\": {\"eid\": \"e15173\", \"logical_representation\": [\"2020/05/15\", \"I really enjoyed baking birthday cupcakes with white wine buttercream, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler on 2020/05/15 with Andrew, Carter at my place\", \"bake\", \"birthday cupcakes with white wine buttercream, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler\", \"Andrew, Carter\", \"my place\"], \"text_template_based\": \"I really enjoyed baking birthday cupcakes with white wine buttercream, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler on 2020/05/15 with Andrew, Carter at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  birthday cupcakes with white wine buttercream, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler with Andrew, Carter?\", \"2020/05/15\"], [\"what did I  on 2020/05/15?\", \"birthday cupcakes with white wine buttercream, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler\"], [\"who was I with when I  birthday cupcakes with white wine buttercream, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler on 2020/05/15?\", \"Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15745\", \"logical_representation\": [\"2020/05/15\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/05/15?\", \"Andrew\"], [\"what did I eat for breakfast on 2020/05/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15746\", \"logical_representation\": [\"2020/05/15\", \"lunch\", \"steak\", \"Avery, Lydia, Piper\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/05/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15747\", \"logical_representation\": [\"2020/05/15\", \"Hazel\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2020/05/15?\", \"15 minutes\"], [\"who did I talk to on 2020/05/15?\", \"Hazel\"], [\"Did I talk to Hazel on 2020/05/15?\", \"yes\"], [\"Did I talk to anyone on 2020/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/05\": {\"child_medical_care\": {\"eid\": \"e15127\", \"logical_representation\": [\"2020/08/05\", \"Kayden for his/her  and I went for an annual physical checkup at the private clinic on 2020/08/05.\", \"private clinic\"], \"text_template_based\": \"Kayden for his/her  and I went for an annual physical checkup at the private clinic on 2020/08/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Kayden for his/her  for an annual physical checkup in 2020?\", \"2020/08/05\"], [\"what did I do on 2020/08/05\", \"I took Kayden for his/her  for an  annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e15198\", \"logical_representation\": [\"2020/08/05\", \"I went grocery shopping. I bought some strawberries, cherres, guava, guava juice, orange juice, mango juice, milk, and shampoo\", \"strawberries, cherres, guava\", \"guava juice, orange juice, mango juice, milk\", \"shampoo\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some strawberries, cherres, guava, guava juice, orange juice, mango juice, milk, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/08/05?\", \"strawberries, cherres, guava, guava juice, orange juice, mango juice, milk, and shampoo\"], [\"what fruits did I buy from the grocery store on 2020/08/05?\", \"strawberries, cherres, guava\"], [\"what drinks did I buy from the grocery store on 2020/08/05?\", \"guava juice, orange juice, mango juice, milk\"], [\"what toiletries did I buy from the grocery store on 2020/08/05?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16047\", \"logical_representation\": [\"2020/08/05\", \"breakfast\", \"oatmeal\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had oatmeal for breakfast with Jackson, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/08/05?\", \"Jackson, Willow, Benjamin\"], [\"what did I eat for breakfast on 2020/08/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16048\", \"logical_representation\": [\"2020/08/05\", \"lunch\", \"fish and chips\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/08/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16049\", \"logical_representation\": [\"2020/08/05\", \"Layla, Piper, Rylee\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Rylee for 15 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Rylee in the late afternoon on 2020/08/05?\", \"15 minutes\"], [\"who did I talk to on 2020/08/05?\", \"Layla, Piper, Rylee\"], [\"Did I talk to Layla, Piper, Rylee on 2020/08/05?\", \"yes\"], [\"Did I talk to anyone on 2020/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16050\", \"logical_representation\": [\"2020/08/05\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/08/05?\", \"16 minutes\"], [\"what did I read on 2020/08/05?\", \"social media\"], [\"Did I read on 2020/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/03\": {\"child_medical_care\": {\"eid\": \"e15128\", \"logical_representation\": [\"2020/03/03\", \"I took Kayden for his/her  for an annual dental cleaning and checkup on 2020/03/03 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I took Kayden for his/her  for an annual dental cleaning and checkup on 2020/03/03 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Kayden for his/her  for an annual dental cleaning and checkup in 2020?\", \"2020/03/03\"], [\"what did I do on 2020/03/03\", \"I took Kayden for his/her  for an annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e15149\", \"logical_representation\": [\"2020/03/03\", \"Leo\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Leo on 2020/03/03 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/03/03\", \"Leo\"], [\"where did I go for the date on 2020/03/03\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15473\", \"logical_representation\": [\"2020/03/03\", \"breakfast\", \"pancakes\", \"Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/03/03?\", \"Kayden, Andrew\"], [\"what did I eat for breakfast on 2020/03/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15474\", \"logical_representation\": [\"2020/03/03\", \"lunch\", \"sushi\", \"Benjamin, Avery\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/03/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15475\", \"logical_representation\": [\"2020/03/03\", \"Piper, Avery, Nora, Lydia\", \"in the morning\", \"8 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Nora, Lydia for 8 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Nora, Lydia in the morning on 2020/03/03?\", \"8 minutes\"], [\"who did I talk to on 2020/03/03?\", \"Piper, Avery, Nora, Lydia\"], [\"Did I talk to Piper, Avery, Nora, Lydia on 2020/03/03?\", \"yes\"], [\"Did I talk to anyone on 2020/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/27\": {\"child_medical_care\": {\"eid\": \"e15129\", \"logical_representation\": [\"2020/06/27\", \"I took Kayden for his/her  for an annual vision checkup on 2020/06/27 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I took Kayden for his/her  for an annual vision checkup on 2020/06/27 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Kayden for his/her  for an annual vision checkup in 2020?\", \"2020/06/27\"], [\"what did I do on 2020/06/27\", \"I took Kayden for his/her  for an annual vision checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15898\", \"logical_representation\": [\"2020/06/27\", \"running\"], \"text_template_based\": \"I did running on 2020/06/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15899\", \"logical_representation\": [\"2020/06/27\", \"dinner\", \"sushi\", \"Claire, Kinsley, Eva, Nevaeh, Lydia, Rylee\"], \"text_template_based\": \"I had dinner with Claire, Kinsley, Eva, Nevaeh, Lydia, Rylee. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/06/27?\", \"Claire, Kinsley, Eva, Nevaeh, Lydia, Rylee\"], [\"what did I eat for dinner on 2020/06/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15900\", \"logical_representation\": [\"2020/06/27\", \"Kinsley, Nevaeh, Nora, Olivia\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Kinsley, Nevaeh, Nora, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Nora, Olivia during lunch hours on 2020/06/27?\", \"33 minutes\"], [\"who did I talk to on 2020/06/27?\", \"Kinsley, Nevaeh, Nora, Olivia\"], [\"Did I talk to Kinsley, Nevaeh, Nora, Olivia on 2020/06/27?\", \"yes\"], [\"Did I talk to anyone on 2020/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/03\": {\"dating\": {\"eid\": \"e15130\", \"logical_representation\": [\"2020/01/03\", \"Mike\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Mike on 2020/01/03 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/01/03\", \"Mike\"], [\"where did I go for the date on 2020/01/03\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e15132\", \"logical_representation\": [\"2020/01/03\", \"I bought some mandarins, chocolate milk, guava juice, mouth wash, toothbrush from the grocery store. I saw Eva at the grocery store.\", \"mandarins\", \"chocolate milk, guava juice\", \"mouth wash, toothbrush\", \"Eva\"], \"text_template_based\": \"I bought some mandarins, chocolate milk, guava juice, mouth wash, toothbrush from the grocery store. I saw Eva at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/01/03?\", \"mandarins, chocolate milk, guava juice, and mouth wash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2020/01/03?\", \"mandarins\"], [\"what drinks did I buy from the grocery store on 2020/01/03?\", \"chocolate milk, guava juice\"], [\"what toiletries did I buy from the grocery store on 2020/01/03?\", \"mouth wash, toothbrush\"], [\"who did I see at the grocery store on 2020/01/03?\", \"Eva\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15253\", \"logical_representation\": [\"2020/01/03\", \"lunch\", \"fish and chips\", \"Layla, Avery, Lydia, Olivia, Eva, Nora, Rylee, Kinsley, Claire, Piper, Hazel, Piper, Nevaeh\"], \"text_template_based\": \"I had lunch with Layla, Avery, Lydia, Olivia, Eva, Nora, Rylee, Kinsley, Claire, Piper, Hazel, Piper, Nevaeh. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/01/03?\", \"Layla, Avery, Lydia, Olivia, Eva, Nora, Rylee, Kinsley, Claire, Piper, Hazel, Piper, Nevaeh\"], [\"what did I eat for lunch on 2020/01/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15254\", \"logical_representation\": [\"2020/01/03\", \"Olivia, Nevaeh, Avery\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Olivia, Nevaeh, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh, Avery in the morning on 2020/01/03?\", \"48 minutes\"], [\"who did I talk to on 2020/01/03?\", \"Olivia, Nevaeh, Avery\"], [\"Did I talk to Olivia, Nevaeh, Avery on 2020/01/03?\", \"yes\"], [\"Did I talk to anyone on 2020/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/07\": {\"dating\": {\"eid\": \"e15131\", \"logical_representation\": [\"2020/01/07\", \"Julian\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Julian on 2020/01/07 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/01/07\", \"Julian\"], [\"where did I go for the date on 2020/01/07\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15267\", \"logical_representation\": [\"2020/01/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/01/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15268\", \"logical_representation\": [\"2020/01/07\", \"lunch\", \"sushi\", \"Olivia, Kinsley, Nora, Layla, Avery, Hazel, Rylee, Claire, Piper, Nevaeh, Piper, Eva, Lydia\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15269\", \"logical_representation\": [\"2020/01/07\", \"dinner\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/01/07?\", \"Kayden\"], [\"what did I eat for dinner on 2020/01/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15270\", \"logical_representation\": [\"2020/01/07\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/01/07?\", \"13 minutes\"], [\"what did I read on 2020/01/07?\", \"social media\"], [\"Did I read on 2020/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/04\": {\"grocery\": {\"eid\": \"e15133\", \"logical_representation\": [\"2020/01/04\", \"I went grocery shopping. I bought some mangos, oranges, apricots, bananas, mineral water, orange juice, and toothbrush\", \"mangos, oranges, apricots, bananas\", \"mineral water, orange juice\", \"toothbrush\", \"Eva, Olivia, Piper, Rylee, Piper, Kinsley, Nevaeh\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, oranges, apricots, bananas, mineral water, orange juice, and toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/01/04?\", \"mangos, oranges, apricots, bananas, mineral water, orange juice, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2020/01/04?\", \"mangos, oranges, apricots, bananas\"], [\"what drinks did I buy from the grocery store on 2020/01/04?\", \"mineral water, orange juice\"], [\"what toiletries did I buy from the grocery store on 2020/01/04?\", \"toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15255\", \"logical_representation\": [\"2020/01/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/01/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15256\", \"logical_representation\": [\"2020/01/04\", \"breakfast\", \"oatmeal\", \"Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/01/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15257\", \"logical_representation\": [\"2020/01/04\", \"lunch\", \"a burger\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15258\", \"logical_representation\": [\"2020/01/04\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/01/04?\", \"21 minutes\"], [\"what did I read on 2020/01/04?\", \"social media\"], [\"Did I read on 2020/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15259\", \"logical_representation\": [\"2020/01/04\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/04?\", \"40 minutes\"], [\"what did I watch on tv on 2020/01/04?\", \"a tv series\"], [\"Did I watch tv on 2020/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/11\": {\"hobbies\": {\"eid\": \"e15134\", \"logical_representation\": [\"2020/01/11\", \"I spent time yoga on 2020/01/11 with Andrew.\", \"yoga\", \"Andrew\"], \"text_template_based\": \"I spent time yoga on 2020/01/11 with Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Andrew?\", \"2020/01/11\"], [\"On 2020/01/11, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2020/01/11?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15280\", \"logical_representation\": [\"2020/01/11\", \"biking\"], \"text_template_based\": \"I did biking on 2020/01/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15281\", \"logical_representation\": [\"2020/01/11\", \"dinner\", \"indian food\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had indian food for dinner with Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/01/11?\", \"Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2020/01/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15282\", \"logical_representation\": [\"2020/01/11\", \"Piper, Hazel, Eva\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Eva for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Eva during lunch hours on 2020/01/11?\", \"31 minutes\"], [\"who did I talk to on 2020/01/11?\", \"Piper, Hazel, Eva\"], [\"Did I talk to Piper, Hazel, Eva on 2020/01/11?\", \"yes\"], [\"Did I talk to anyone on 2020/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15283\", \"logical_representation\": [\"2020/01/11\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/11?\", \"55 minutes\"], [\"what did I watch on tv on 2020/01/11?\", \"a tv series\"], [\"Did I watch tv on 2020/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/18\": {\"grocery\": {\"eid\": \"e15135\", \"logical_representation\": [\"2020/01/18\", \"I bought some cherres, pears, guava juice, tea, toilet paper from the grocery store. I saw Piper, Avery, Nevaeh, Olivia, Eva, Lydia, Claire, Nora at the grocery store.\", \"cherres, pears\", \"guava juice, tea\", \"toilet paper\", \"Piper, Avery, Nevaeh, Olivia, Eva, Lydia, Claire, Nora\"], \"text_template_based\": \"I bought some cherres, pears, guava juice, tea, toilet paper from the grocery store. I saw Piper, Avery, Nevaeh, Olivia, Eva, Lydia, Claire, Nora at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/01/18?\", \"cherres, pears, guava juice, tea, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2020/01/18?\", \"cherres, pears\"], [\"what drinks did I buy from the grocery store on 2020/01/18?\", \"guava juice, tea\"], [\"what toiletries did I buy from the grocery store on 2020/01/18?\", \"toilet paper\"], [\"who did I see at the grocery store on 2020/01/18?\", \"Piper, Avery, Nevaeh, Olivia, Eva, Lydia, Claire, Nora\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15305\", \"logical_representation\": [\"2020/01/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/01/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2020/01/26\": {\"dating\": {\"eid\": \"e15136\", \"logical_representation\": [\"2020/01/26\", \"Charles\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Charles on 2020/01/26 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/01/26\", \"Charles\"], [\"where did I go for the date on 2020/01/26\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15335\", \"logical_representation\": [\"2020/01/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/01/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15336\", \"logical_representation\": [\"2020/01/26\", \"dinner\", \"tacos\", \"Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/01/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15337\", \"logical_representation\": [\"2020/01/26\", \"Hazel, Nevaeh, Piper\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Hazel, Nevaeh, Piper for 33 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh, Piper in the late afternoon on 2020/01/26?\", \"33 minutes\"], [\"who did I talk to on 2020/01/26?\", \"Hazel, Nevaeh, Piper\"], [\"Did I talk to Hazel, Nevaeh, Piper on 2020/01/26?\", \"yes\"], [\"Did I talk to anyone on 2020/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15338\", \"logical_representation\": [\"2020/01/26\", \"Piper, Kinsley, Layla, Claire\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Layla, Claire for 42 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Layla, Claire in the early evening on 2020/01/26?\", \"42 minutes\"], [\"who did I talk to on 2020/01/26?\", \"Piper, Kinsley, Layla, Claire\"], [\"Did I talk to Piper, Kinsley, Layla, Claire on 2020/01/26?\", \"yes\"], [\"Did I talk to anyone on 2020/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15339\", \"logical_representation\": [\"2020/01/26\", \"a tv series\", \"52 minutes\"], \"text_template_based\": \"I watched a tv series for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/26?\", \"52 minutes\"], [\"what did I watch on tv on 2020/01/26?\", \"a tv series\"], [\"Did I watch tv on 2020/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/25\": {\"hobbies\": {\"eid\": \"e15137\", \"logical_representation\": [\"2020/01/25\", \"I really enjoyed learning a language on 2020/01/25\", \"learning a language\", \"Benjamin\"], \"text_template_based\": \"I really enjoyed learning a language on 2020/01/25\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2020/01/25\"], [\"On 2020/01/25, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15332\", \"logical_representation\": [\"2020/01/25\", \"breakfast\", \"cereals\", \"Olivia, Piper, Rylee, Avery, Lydia, Piper, Nevaeh, Eva, Nora, Hazel, Layla, Kinsley\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/01/25\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15333\", \"logical_representation\": [\"2020/01/25\", \"Nevaeh, Kinsley, Rylee\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Kinsley, Rylee for 28 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Rylee during lunch hours on 2020/01/25?\", \"28 minutes\"], [\"who did I talk to on 2020/01/25?\", \"Nevaeh, Kinsley, Rylee\"], [\"Did I talk to Nevaeh, Kinsley, Rylee on 2020/01/25?\", \"yes\"], [\"Did I talk to anyone on 2020/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15334\", \"logical_representation\": [\"2020/01/25\", \"a movie\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/25?\", \"44 minutes\"], [\"what did I watch on tv on 2020/01/25?\", \"a movie\"], [\"Did I watch tv on 2020/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/24\": {\"grocery\": {\"eid\": \"e15138\", \"logical_representation\": [\"2020/01/24\", \"I went grocery shopping. I bought some pears, clementines, apricots, soda, pineapple juice, orange juice, and toothpaste, body lotion, paper towel, toothbrush\", \"pears, clementines, apricots\", \"soda, pineapple juice, orange juice\", \"toothpaste, body lotion, paper towel, toothbrush\", \"Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some pears, clementines, apricots, soda, pineapple juice, orange juice, and toothpaste, body lotion, paper towel, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/01/24?\", \"pears, clementines, apricots, soda, pineapple juice, orange juice, and toothpaste, body lotion, paper towel, toothbrush\"], [\"what fruits did I buy from the grocery store on 2020/01/24?\", \"pears, clementines, apricots\"], [\"what drinks did I buy from the grocery store on 2020/01/24?\", \"soda, pineapple juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2020/01/24?\", \"toothpaste, body lotion, paper towel, toothbrush\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15329\", \"logical_representation\": [\"2020/01/24\", \"lunch\", \"fish and chips\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15330\", \"logical_representation\": [\"2020/01/24\", \"dinner\", \"fish and chips\", \"Hazel, Piper, Kinsley, Nevaeh, Rylee, Lydia, Piper, Claire, Olivia\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/01/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15331\", \"logical_representation\": [\"2020/01/24\", \"Nevaeh, Lydia\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia for 29 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia in the early evening on 2020/01/24?\", \"29 minutes\"], [\"who did I talk to on 2020/01/24?\", \"Nevaeh, Lydia\"], [\"Did I talk to Nevaeh, Lydia on 2020/01/24?\", \"yes\"], [\"Did I talk to anyone on 2020/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/31\": {\"hobbies\": {\"eid\": \"e15139\", \"logical_representation\": [\"2020/01/31\", \"I really enjoyed meditation on 2020/01/31\", \"meditation\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I really enjoyed meditation on 2020/01/31\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2020/01/31\"], [\"On 2020/01/31, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15354\", \"logical_representation\": [\"2020/01/31\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/01/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/31?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15355\", \"logical_representation\": [\"2020/01/31\", \"lunch\", \"sushi\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/31\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15356\", \"logical_representation\": [\"2020/01/31\", \"Hazel, Piper, Lydia\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Hazel, Piper, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Lydia in the late afternoon on 2020/01/31?\", \"28 minutes\"], [\"who did I talk to on 2020/01/31?\", \"Hazel, Piper, Lydia\"], [\"Did I talk to Hazel, Piper, Lydia on 2020/01/31?\", \"yes\"], [\"Did I talk to anyone on 2020/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15357\", \"logical_representation\": [\"2020/01/31\", \"Piper, Layla, Eva, Nora\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Eva, Nora for 37 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Eva, Nora in the morning on 2020/01/31?\", \"37 minutes\"], [\"who did I talk to on 2020/01/31?\", \"Piper, Layla, Eva, Nora\"], [\"Did I talk to Piper, Layla, Eva, Nora on 2020/01/31?\", \"yes\"], [\"Did I talk to anyone on 2020/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15358\", \"logical_representation\": [\"2020/01/31\", \"news\", \"9 minutes\"], \"text_template_based\": \"I watched news for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/31?\", \"9 minutes\"], [\"what did I watch on tv on 2020/01/31?\", \"news\"], [\"Did I watch tv on 2020/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/30\": {\"grocery\": {\"eid\": \"e15140\", \"logical_representation\": [\"2020/01/30\", \"I went grocery shopping with Eva, Layla, Kinsley, Piper, Lydia, Piper. I bought some apricots, strawberries, pears, blueberries, apple juice, soda, coffee, sports drinks, and conditioner\", \"apricots, strawberries, pears, blueberries\", \"apple juice, soda, coffee, sports drinks\", \"conditioner\", \"Eva, Layla, Kinsley, Piper, Lydia, Piper\"], \"text_template_based\": \"I went grocery shopping with Eva, Layla, Kinsley, Piper, Lydia, Piper. I bought some apricots, strawberries, pears, blueberries, apple juice, soda, coffee, sports drinks, and conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/01/30?\", \"apricots, strawberries, pears, blueberries, apple juice, soda, coffee, sports drinks, and conditioner\"], [\"what fruits did I buy from the grocery store on 2020/01/30?\", \"apricots, strawberries, pears, blueberries\"], [\"what drinks did I buy from the grocery store on 2020/01/30?\", \"apple juice, soda, coffee, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2020/01/30?\", \"conditioner\"], [\"who was with me at the grocery store on 2020/01/30?\", \"Eva, Layla, Kinsley, Piper, Lydia, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15349\", \"logical_representation\": [\"2020/01/30\", \"biking\"], \"text_template_based\": \"I did biking on 2020/01/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15350\", \"logical_representation\": [\"2020/01/30\", \"lunch\", \"sandwich\", \"Hazel, Avery, Claire, Piper, Rylee\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15351\", \"logical_representation\": [\"2020/01/30\", \"Lydia, Nora, Piper, Kinsley\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I talked to Lydia, Nora, Piper, Kinsley for 44 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Piper, Kinsley in the early afternoon on 2020/01/30?\", \"44 minutes\"], [\"who did I talk to on 2020/01/30?\", \"Lydia, Nora, Piper, Kinsley\"], [\"Did I talk to Lydia, Nora, Piper, Kinsley on 2020/01/30?\", \"yes\"], [\"Did I talk to anyone on 2020/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15352\", \"logical_representation\": [\"2020/01/30\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/01/30?\", \"33 minutes\"], [\"what did I read on 2020/01/30?\", \"a book\"], [\"Did I read on 2020/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15353\", \"logical_representation\": [\"2020/01/30\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I watched a documentary for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/30?\", \"20 minutes\"], [\"what did I watch on tv on 2020/01/30?\", \"a documentary\"], [\"Did I watch tv on 2020/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/01\": {\"grocery\": {\"eid\": \"e15141\", \"logical_representation\": [\"2020/02/01\", \"I went grocery shopping. I bought some blueberries, mangos, mineral water, chocolate milk, mango juice, and body lotion\", \"blueberries, mangos\", \"mineral water, chocolate milk, mango juice\", \"body lotion\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some blueberries, mangos, mineral water, chocolate milk, mango juice, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/02/01?\", \"blueberries, mangos, mineral water, chocolate milk, mango juice, and body lotion\"], [\"what fruits did I buy from the grocery store on 2020/02/01?\", \"blueberries, mangos\"], [\"what drinks did I buy from the grocery store on 2020/02/01?\", \"mineral water, chocolate milk, mango juice\"], [\"what toiletries did I buy from the grocery store on 2020/02/01?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15359\", \"logical_representation\": [\"2020/02/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15360\", \"logical_representation\": [\"2020/02/01\", \"Layla, Nevaeh, Nora, Piper\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Layla, Nevaeh, Nora, Piper for 41 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Nora, Piper in the late afternoon on 2020/02/01?\", \"41 minutes\"], [\"who did I talk to on 2020/02/01?\", \"Layla, Nevaeh, Nora, Piper\"], [\"Did I talk to Layla, Nevaeh, Nora, Piper on 2020/02/01?\", \"yes\"], [\"Did I talk to anyone on 2020/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/06\": {\"grocery\": {\"eid\": \"e15143\", \"logical_representation\": [\"2020/02/06\", \"I bought some blackberries, apricots, blueberries, soda, mineral water, toilet paper, body lotion online.\", \"blackberries, apricots, blueberries\", \"soda, mineral water\", \"toilet paper, body lotion\", \"Kayden, Andrew\"], \"text_template_based\": \"I bought some blackberries, apricots, blueberries, soda, mineral water, toilet paper, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/02/06?\", \"blackberries, apricots, blueberries, soda, mineral water, and toilet paper, body lotion\"], [\"what fruits did I buy online on 2020/02/06?\", \"blackberries, apricots, blueberries\"], [\"what drinks did I buy online on 2020/02/06?\", \"soda, mineral water\"], [\"what toiletries did I buy online on 2020/02/06?\", \"toilet paper, body lotion\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15378\", \"logical_representation\": [\"2020/02/06\", \"lunch\", \"fish and chips\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/02/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15379\", \"logical_representation\": [\"2020/02/06\", \"Piper, Lydia, Avery, Nora\", \"in the early afternoon\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Piper, Lydia, Avery, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Avery, Nora in the early afternoon on 2020/02/06?\", \"35 minutes\"], [\"who did I talk to on 2020/02/06?\", \"Piper, Lydia, Avery, Nora\"], [\"Did I talk to Piper, Lydia, Avery, Nora on 2020/02/06?\", \"yes\"], [\"Did I talk to anyone on 2020/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/13\": {\"grocery\": {\"eid\": \"e15145\", \"logical_representation\": [\"2020/02/13\", \"I bought some watermelons, guava, bananas, apricots, coffee, orange juice, soda, toothbrush, conditioner, toilet paper from the grocery store. I saw Olivia, Lydia, Eva, Rylee, Avery, Piper, Kinsley, Nevaeh, Nora, Piper, Claire at the grocery store.\", \"watermelons, guava, bananas, apricots\", \"coffee, orange juice, soda\", \"toothbrush, conditioner, toilet paper\", \"Olivia, Lydia, Eva, Rylee, Avery, Piper, Kinsley, Nevaeh, Nora, Piper, Claire\"], \"text_template_based\": \"I bought some watermelons, guava, bananas, apricots, coffee, orange juice, soda, toothbrush, conditioner, toilet paper from the grocery store. I saw Olivia, Lydia, Eva, Rylee, Avery, Piper, Kinsley, Nevaeh, Nora, Piper, Claire at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/02/13?\", \"watermelons, guava, bananas, apricots, coffee, orange juice, soda, and toothbrush, conditioner, toilet paper\"], [\"what fruits did I buy from the grocery store on 2020/02/13?\", \"watermelons, guava, bananas, apricots\"], [\"what drinks did I buy from the grocery store on 2020/02/13?\", \"coffee, orange juice, soda\"], [\"what toiletries did I buy from the grocery store on 2020/02/13?\", \"toothbrush, conditioner, toilet paper\"], [\"who did I see at the grocery store on 2020/02/13?\", \"Olivia, Lydia, Eva, Rylee, Avery, Piper, Kinsley, Nevaeh, Nora, Piper, Claire\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15401\", \"logical_representation\": [\"2020/02/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/02/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15402\", \"logical_representation\": [\"2020/02/13\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/02/13?\", \"Kayden\"], [\"what did I eat for dinner on 2020/02/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15403\", \"logical_representation\": [\"2020/02/13\", \"Nora, Piper\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Nora, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper during lunch hours on 2020/02/13?\", \"6 minutes\"], [\"who did I talk to on 2020/02/13?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2020/02/13?\", \"yes\"], [\"Did I talk to anyone on 2020/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15404\", \"logical_representation\": [\"2020/02/13\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/02/13?\", \"27 minutes\"], [\"what did I read on 2020/02/13?\", \"news\"], [\"Did I read on 2020/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/15\": {\"grocery\": {\"eid\": \"e15146\", \"logical_representation\": [\"2020/02/15\", \"I bought some clementines, mangos, pineapple juice, milk, mineral water, chocolate milk, conditioner, toothpaste, toilet paper, paper towel from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\", \"clementines, mangos\", \"pineapple juice, milk, mineral water, chocolate milk\", \"conditioner, toothpaste, toilet paper, paper towel\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I bought some clementines, mangos, pineapple juice, milk, mineral water, chocolate milk, conditioner, toothpaste, toilet paper, paper towel from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/02/15?\", \"clementines, mangos, pineapple juice, milk, mineral water, chocolate milk, and conditioner, toothpaste, toilet paper, paper towel\"], [\"what fruits did I buy from the grocery store on 2020/02/15?\", \"clementines, mangos\"], [\"what drinks did I buy from the grocery store on 2020/02/15?\", \"pineapple juice, milk, mineral water, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2020/02/15?\", \"conditioner, toothpaste, toilet paper, paper towel\"], [\"who did I see at the grocery store on 2020/02/15?\", \"Andrew, Carter, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15410\", \"logical_representation\": [\"2020/02/15\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/02/15?\", \"21 minutes\"], [\"what did I read on 2020/02/15?\", \"social media\"], [\"Did I read on 2020/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15411\", \"logical_representation\": [\"2020/02/15\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/15?\", \"39 minutes\"], [\"what did I watch on tv on 2020/02/15?\", \"a movie\"], [\"Did I watch tv on 2020/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/23\": {\"dating\": {\"eid\": \"e15147\", \"logical_representation\": [\"2020/02/23\", \"Anna\", \"a coffee Shop\"], \"text_template_based\": \"On 2020/02/23, I took Anna on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/02/23\", \"Anna\"], [\"where did I go for the date on 2020/02/23\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15434\", \"logical_representation\": [\"2020/02/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/02/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15435\", \"logical_representation\": [\"2020/02/23\", \"dinner\", \"sushi\", \"Piper, Nevaeh, Claire, Kinsley, Olivia, Piper\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/02/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15436\", \"logical_representation\": [\"2020/02/23\", \"Lydia, Eva\", \"in the early evening\", \"44 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva for 44 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva in the early evening on 2020/02/23?\", \"44 minutes\"], [\"who did I talk to on 2020/02/23?\", \"Lydia, Eva\"], [\"Did I talk to Lydia, Eva on 2020/02/23?\", \"yes\"], [\"Did I talk to anyone on 2020/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/25\": {\"hobbies\": {\"eid\": \"e15148\", \"logical_representation\": [\"2020/02/25\", \"I spent time yoga on 2020/02/25 with Claire, Kinsley.\", \"yoga\", \"Claire, Kinsley\"], \"text_template_based\": \"I spent time yoga on 2020/02/25 with Claire, Kinsley.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Claire, Kinsley?\", \"2020/02/25\"], [\"On 2020/02/25, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2020/02/25?\", \"Claire, Kinsley\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15443\", \"logical_representation\": [\"2020/02/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/02/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15444\", \"logical_representation\": [\"2020/02/25\", \"lunch\", \"indian food\", \"Kayden, Emily\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/02/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15445\", \"logical_representation\": [\"2020/02/25\", \"Piper, Piper, Layla\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Piper, Piper, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Layla late in the evening on 2020/02/25?\", \"39 minutes\"], [\"who did I talk to on 2020/02/25?\", \"Piper, Piper, Layla\"], [\"Did I talk to Piper, Piper, Layla on 2020/02/25?\", \"yes\"], [\"Did I talk to anyone on 2020/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15446\", \"logical_representation\": [\"2020/02/25\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/02/25?\", \"23 minutes\"], [\"what did I read on 2020/02/25?\", \"a book\"], [\"Did I read on 2020/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15447\", \"logical_representation\": [\"2020/02/25\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/25?\", \"30 minutes\"], [\"what did I watch on tv on 2020/02/25?\", \"news\"], [\"Did I watch tv on 2020/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/26\": {\"hobbies\": {\"eid\": \"e15150\", \"logical_representation\": [\"2020/02/26\", \"I spent time learning a language on 2020/02/26 with Carter, Kayden, Andrew.\", \"learning a language\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I spent time learning a language on 2020/02/26 with Carter, Kayden, Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Carter, Kayden, Andrew?\", \"2020/02/26\"], [\"On 2020/02/26, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2020/02/26?\", \"Carter, Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15448\", \"logical_representation\": [\"2020/02/26\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15449\", \"logical_representation\": [\"2020/02/26\", \"lunch\", \"pasta\", \"Benjamin, Willow\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/02/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15450\", \"logical_representation\": [\"2020/02/26\", \"dinner\", \"pasta\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/02/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15451\", \"logical_representation\": [\"2020/02/26\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/02/26?\", \"47 minutes\"], [\"what did I read on 2020/02/26?\", \"social media\"], [\"Did I read on 2020/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15452\", \"logical_representation\": [\"2020/02/26\", \"a documentary\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/26?\", \"34 minutes\"], [\"what did I watch on tv on 2020/02/26?\", \"a documentary\"], [\"Did I watch tv on 2020/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/29\": {\"grocery\": {\"eid\": \"e15151\", \"logical_representation\": [\"2020/02/29\", \"I bought some blueberries, apricots, mandarins, watermelons, mango juice, toilet paper, shaving cream, mouthwash from the grocery store. I saw Piper, Nevaeh at the grocery store.\", \"blueberries, apricots, mandarins, watermelons\", \"mango juice\", \"toilet paper, shaving cream, mouthwash\", \"Piper, Nevaeh\"], \"text_template_based\": \"I bought some blueberries, apricots, mandarins, watermelons, mango juice, toilet paper, shaving cream, mouthwash from the grocery store. I saw Piper, Nevaeh at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/02/29?\", \"blueberries, apricots, mandarins, watermelons, mango juice, and toilet paper, shaving cream, mouthwash\"], [\"what fruits did I buy from the grocery store on 2020/02/29?\", \"blueberries, apricots, mandarins, watermelons\"], [\"what drinks did I buy from the grocery store on 2020/02/29?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2020/02/29?\", \"toilet paper, shaving cream, mouthwash\"], [\"who did I see at the grocery store on 2020/02/29?\", \"Piper, Nevaeh\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15459\", \"logical_representation\": [\"2020/02/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/02/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15460\", \"logical_representation\": [\"2020/02/29\", \"lunch\", \"chinese food\", \"Piper, Piper, Lydia, Claire, Avery, Nora\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/02/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15461\", \"logical_representation\": [\"2020/02/29\", \"dinner\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had indian food for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/02/29?\", \"Andrew\"], [\"what did I eat for dinner on 2020/02/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15462\", \"logical_representation\": [\"2020/02/29\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/02/29?\", \"6 minutes\"], [\"what did I read on 2020/02/29?\", \"a book\"], [\"Did I read on 2020/02/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15463\", \"logical_representation\": [\"2020/02/29\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/29?\", \"12 minutes\"], [\"what did I watch on tv on 2020/02/29?\", \"a movie\"], [\"Did I watch tv on 2020/02/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/05\": {\"grocery\": {\"eid\": \"e15152\", \"logical_representation\": [\"2020/03/05\", \"I went grocery shopping. I bought some clementines, mangos, raspberries, pineapple juice, and toilet paper, shaving cream, conditioner\", \"clementines, mangos, raspberries\", \"pineapple juice\", \"toilet paper, shaving cream, conditioner\", \"Eva, Hazel, Claire, Piper, Rylee, Piper\"], \"text_template_based\": \"I went grocery shopping. I bought some clementines, mangos, raspberries, pineapple juice, and toilet paper, shaving cream, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/03/05?\", \"clementines, mangos, raspberries, pineapple juice, and toilet paper, shaving cream, conditioner\"], [\"what fruits did I buy from the grocery store on 2020/03/05?\", \"clementines, mangos, raspberries\"], [\"what drinks did I buy from the grocery store on 2020/03/05?\", \"pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2020/03/05?\", \"toilet paper, shaving cream, conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15480\", \"logical_representation\": [\"2020/03/05\", \"breakfast\", \"oatmeal\", \"Lydia, Olivia, Nevaeh, Piper, Kinsley, Avery\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/03/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15481\", \"logical_representation\": [\"2020/03/05\", \"dinner\", \"sushi\", \"Olivia, Claire\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/03/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15482\", \"logical_representation\": [\"2020/03/05\", \"Claire, Eva\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Claire, Eva for 36 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva late in the evening on 2020/03/05?\", \"36 minutes\"], [\"who did I talk to on 2020/03/05?\", \"Claire, Eva\"], [\"Did I talk to Claire, Eva on 2020/03/05?\", \"yes\"], [\"Did I talk to anyone on 2020/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15483\", \"logical_representation\": [\"2020/03/05\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/03/05?\", \"27 minutes\"], [\"what did I read on 2020/03/05?\", \"news\"], [\"Did I read on 2020/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15484\", \"logical_representation\": [\"2020/03/05\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/05?\", \"22 minutes\"], [\"what did I watch on tv on 2020/03/05?\", \"news\"], [\"Did I watch tv on 2020/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/07\": {\"grocery\": {\"eid\": \"e15153\", \"logical_representation\": [\"2020/03/07\", \"I went grocery shopping. I bought some watermelons, pineapples, apricots, apple juice, and body lotion, toothpaste\", \"watermelons, pineapples, apricots\", \"apple juice\", \"body lotion, toothpaste\", \"Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some watermelons, pineapples, apricots, apple juice, and body lotion, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/03/07?\", \"watermelons, pineapples, apricots, apple juice, and body lotion, toothpaste\"], [\"what fruits did I buy from the grocery store on 2020/03/07?\", \"watermelons, pineapples, apricots\"], [\"what drinks did I buy from the grocery store on 2020/03/07?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2020/03/07?\", \"body lotion, toothpaste\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15489\", \"logical_representation\": [\"2020/03/07\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Kinsley, Nora, Eva, Piper, Avery, Lydia, Piper, Nevaeh, Claire\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Rylee, Kinsley, Nora, Eva, Piper, Avery, Lydia, Piper, Nevaeh, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/03/07?\", \"Rylee, Kinsley, Nora, Eva, Piper, Avery, Lydia, Piper, Nevaeh, Claire\"], [\"what did I eat for breakfast on 2020/03/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15490\", \"logical_representation\": [\"2020/03/07\", \"lunch\", \"steak\", \"Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Andrew. 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I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/03/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15492\", \"logical_representation\": [\"2020/03/07\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I watched a tv series for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/07?\", \"24 minutes\"], [\"what did I watch on tv on 2020/03/07?\", \"a tv series\"], [\"Did I watch tv on 2020/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/14\": {\"dating\": {\"eid\": \"e15154\", \"logical_representation\": [\"2020/03/14\", \"Axel\", \"a park\"], \"text_template_based\": \"On 2020/03/14, I took Axel on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/03/14\", \"Axel\"], [\"where did I go for the date on 2020/03/14\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e15155\", \"logical_representation\": [\"2020/03/14\", \"I bought some peaches, blueberries, chocolate milk, paper towel, facial wash, toilet paper from the grocery store. I saw Kinsley, Eva, Lydia, Layla, Nevaeh, Claire at the grocery store.\", \"peaches, blueberries\", \"chocolate milk\", \"paper towel, facial wash, toilet paper\", \"Kinsley, Eva, Lydia, Layla, Nevaeh, Claire\"], \"text_template_based\": \"I bought some peaches, blueberries, chocolate milk, paper towel, facial wash, toilet paper from the grocery store. I saw Kinsley, Eva, Lydia, Layla, Nevaeh, Claire at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/03/14?\", \"peaches, blueberries, chocolate milk, and paper towel, facial wash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2020/03/14?\", \"peaches, blueberries\"], [\"what drinks did I buy from the grocery store on 2020/03/14?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2020/03/14?\", \"paper towel, facial wash, toilet paper\"], [\"who did I see at the grocery store on 2020/03/14?\", \"Kinsley, Eva, Lydia, Layla, Nevaeh, Claire\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15512\", \"logical_representation\": [\"2020/03/14\", \"lunch\", \"pasta\", \"Lydia, Olivia, Piper, Rylee, Hazel, Nora, Piper, Layla, Avery\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for 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\"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15515\", \"logical_representation\": [\"2020/03/14\", \"Layla\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I talked to Layla for 7 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2020/03/14?\", \"7 minutes\"], [\"who did I talk to on 2020/03/14?\", \"Layla\"], [\"Did I talk to Layla on 2020/03/14?\", \"yes\"], [\"Did I talk to anyone on 2020/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15516\", \"logical_representation\": [\"2020/03/14\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/03/14?\", \"38 minutes\"], [\"what did I read on 2020/03/14?\", \"a book\"], [\"Did I read on 2020/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/22\": {\"cook\": {\"eid\": \"e15156\", \"logical_representation\": [\"2020/03/22\", \"I really enjoyed cooking ground turkey vegetable soup on 2020/03/22 with Carter, Kayden at my place\", \"cook\", \"ground turkey vegetable soup\", \"Carter, Kayden\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking ground turkey vegetable soup on 2020/03/22 with Carter, Kayden at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  ground turkey vegetable soup with Carter, Kayden?\", \"2020/03/22\"], [\"what did I  on 2020/03/22?\", \"ground turkey vegetable soup\"], [\"who was I with when I  ground turkey vegetable soup on 2020/03/22?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15552\", \"logical_representation\": [\"2020/03/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/03/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15553\", \"logical_representation\": [\"2020/03/22\", \"breakfast\", \"cereals\", \"Willow\"], \"text_template_based\": \"I had cereals for breakfast with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/03/22?\", \"Willow\"], [\"what did I eat for breakfast on 2020/03/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15554\", \"logical_representation\": [\"2020/03/22\", \"lunch\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had tacos for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/03/22?\", \"Andrew\"], [\"what did I eat for lunch on 2020/03/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15555\", \"logical_representation\": [\"2020/03/22\", \"Nevaeh, Eva\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva for 9 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva during lunch hours on 2020/03/22?\", \"9 minutes\"], [\"who did I talk to on 2020/03/22?\", \"Nevaeh, Eva\"], [\"Did I talk to Nevaeh, Eva on 2020/03/22?\", \"yes\"], [\"Did I talk to anyone on 2020/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15556\", \"logical_representation\": [\"2020/03/22\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/03/22?\", \"34 minutes\"], [\"what did I read on 2020/03/22?\", \"social media\"], [\"Did I read on 2020/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/24\": {\"grocery\": {\"eid\": \"e15157\", \"logical_representation\": [\"2020/03/24\", \"I bought some apples, pineapples, mineral water, body lotion, mouth wash, shaving cream, mouthwash from the grocery store. I saw Avery, Willow, Benjamin, Jackson at the grocery store.\", \"apples, pineapples\", \"mineral water\", \"body lotion, mouth wash, shaving cream, mouthwash\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I bought some apples, pineapples, mineral water, body lotion, mouth wash, shaving cream, mouthwash from the grocery store. I saw Avery, Willow, Benjamin, Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/03/24?\", \"apples, pineapples, mineral water, and body lotion, mouth wash, shaving cream, mouthwash\"], [\"what fruits did I buy from the grocery store on 2020/03/24?\", \"apples, pineapples\"], [\"what drinks did I buy from the grocery store on 2020/03/24?\", \"mineral water\"], [\"what toiletries did I buy from the grocery store on 2020/03/24?\", \"body lotion, mouth wash, shaving cream, mouthwash\"], [\"who did I see at the grocery store on 2020/03/24?\", \"Avery, Willow, Benjamin, Jackson\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15558\", \"logical_representation\": [\"2020/03/24\", \"lunch\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/03/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15559\", \"logical_representation\": [\"2020/03/24\", \"Nevaeh, Olivia\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia for 28 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia in the early evening on 2020/03/24?\", \"28 minutes\"], [\"who did I talk to on 2020/03/24?\", \"Nevaeh, Olivia\"], [\"Did I talk to Nevaeh, Olivia on 2020/03/24?\", \"yes\"], [\"Did I talk to anyone on 2020/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15560\", \"logical_representation\": [\"2020/03/24\", \"Olivia\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Olivia for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early afternoon on 2020/03/24?\", \"7 minutes\"], [\"who did I talk to on 2020/03/24?\", \"Olivia\"], [\"Did I talk to Olivia on 2020/03/24?\", \"yes\"], [\"Did I talk to anyone on 2020/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15561\", \"logical_representation\": [\"2020/03/24\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/03/24?\", \"21 minutes\"], [\"what did I read on 2020/03/24?\", \"social media\"], [\"Did I read on 2020/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/25\": {\"hobbies\": {\"eid\": \"e15158\", \"logical_representation\": [\"2020/03/25\", \"I spent some time learning a language on 2020/03/25.\", \"learning a language\", \"Benjamin\"], \"text_template_based\": \"I spent some time learning a language on 2020/03/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2020/03/25\"], [\"On 2020/03/25, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15562\", \"logical_representation\": [\"2020/03/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/03/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15563\", \"logical_representation\": [\"2020/03/25\", \"breakfast\", \"oatmeal\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden, Emily, Carter. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/03/25?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for breakfast on 2020/03/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15564\", \"logical_representation\": [\"2020/03/25\", \"lunch\", \"pasta\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Kayden, Carter, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/03/25?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2020/03/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15565\", \"logical_representation\": [\"2020/03/25\", \"Nora\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Nora for 5 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2020/03/25?\", \"5 minutes\"], [\"who did I talk to on 2020/03/25?\", \"Nora\"], [\"Did I talk to Nora on 2020/03/25?\", \"yes\"], [\"Did I talk to anyone on 2020/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15566\", \"logical_representation\": [\"2020/03/25\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/03/25?\", \"15 minutes\"], [\"what did I read on 2020/03/25?\", \"news\"], [\"Did I read on 2020/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/27\": {\"grocery\": {\"eid\": \"e15159\", \"logical_representation\": [\"2020/03/27\", \"I bought some guava, raspberries, bananas, mango juice, apple juice, toothbrush, body lotion online.\", \"guava, raspberries, bananas\", \"mango juice, apple juice\", \"toothbrush, body lotion\", \"Olivia, Hazel, Rylee, Piper, Lydia, Claire, Nora\"], \"text_template_based\": \"I bought some guava, raspberries, bananas, mango juice, apple juice, toothbrush, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/03/27?\", \"guava, raspberries, bananas, mango juice, apple juice, and toothbrush, body lotion\"], [\"what fruits did I buy online on 2020/03/27?\", \"guava, raspberries, bananas\"], [\"what drinks did I buy online on 2020/03/27?\", \"mango juice, apple juice\"], [\"what toiletries did I buy online on 2020/03/27?\", \"toothbrush, body lotion\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15572\", \"logical_representation\": [\"2020/03/27\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/03/27?\", \"Kayden, Andrew\"], [\"what did I eat for breakfast on 2020/03/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15573\", \"logical_representation\": [\"2020/03/27\", \"lunch\", \"pasta\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/03/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15574\", \"logical_representation\": [\"2020/03/27\", \"Nora, Claire, Avery\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Nora, Claire, Avery for 18 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Avery in the late afternoon on 2020/03/27?\", \"18 minutes\"], [\"who did I talk to on 2020/03/27?\", \"Nora, Claire, Avery\"], [\"Did I talk to Nora, Claire, Avery on 2020/03/27?\", \"yes\"], [\"Did I talk to anyone on 2020/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15575\", \"logical_representation\": [\"2020/03/27\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/03/27?\", \"50 minutes\"], [\"what did I read on 2020/03/27?\", \"a book\"], [\"Did I read on 2020/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15576\", \"logical_representation\": [\"2020/03/27\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/27?\", \"12 minutes\"], [\"what did I watch on tv on 2020/03/27?\", \"news\"], [\"Did I watch tv on 2020/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/05\": {\"dating\": {\"eid\": \"e15160\", \"logical_representation\": [\"2020/04/05\", \"Hazel\", \"a park\"], \"text_template_based\": \"I went on a date with Hazel on 2020/04/05 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/04/05\", \"Hazel\"], [\"where did I go for the date on 2020/04/05\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15608\", \"logical_representation\": [\"2020/04/05\", \"running\"], \"text_template_based\": \"I did running on 2020/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/05?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15609\", \"logical_representation\": [\"2020/04/05\", \"breakfast\", \"cereals\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/04/05\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15610\", \"logical_representation\": [\"2020/04/05\", \"Eva, Layla, Piper, Hazel\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Eva, Layla, Piper, Hazel for 28 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Piper, Hazel in the late afternoon on 2020/04/05?\", \"28 minutes\"], [\"who did I talk to on 2020/04/05?\", \"Eva, Layla, Piper, Hazel\"], [\"Did I talk to Eva, Layla, Piper, Hazel on 2020/04/05?\", \"yes\"], [\"Did I talk to anyone on 2020/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15611\", \"logical_representation\": [\"2020/04/05\", \"news\", \"42 minutes\"], \"text_template_based\": \"I watched news for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/04/05?\", \"42 minutes\"], [\"what did I watch on tv on 2020/04/05?\", \"news\"], [\"Did I watch tv on 2020/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/01\": {\"grocery\": {\"eid\": \"e15161\", \"logical_representation\": [\"2020/04/01\", \"I went grocery shopping. I bought some pears, nectarines, guava juice, and facial wash, toilet paper, shaving cream\", \"pears, nectarines\", \"guava juice\", \"facial wash, toilet paper, shaving cream\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some pears, nectarines, guava juice, and facial wash, toilet paper, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/04/01?\", \"pears, nectarines, guava juice, and facial wash, toilet paper, shaving cream\"], [\"what fruits did I buy from the grocery store on 2020/04/01?\", \"pears, nectarines\"], [\"what drinks did I buy from the grocery store on 2020/04/01?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2020/04/01?\", \"facial wash, toilet paper, shaving cream\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15590\", \"logical_representation\": [\"2020/04/01\", \"breakfast\", \"cereals\", \"Kinsley\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/04/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15591\", \"logical_representation\": [\"2020/04/01\", \"lunch\", \"chinese food\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/04/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15592\", \"logical_representation\": [\"2020/04/01\", \"dinner\", \"indian food\", \"Hazel, Olivia, Nora, Kinsley, Piper\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15593\", \"logical_representation\": [\"2020/04/01\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/04/01?\", \"11 minutes\"], [\"what did I watch on tv on 2020/04/01?\", \"a tv series\"], [\"Did I watch tv on 2020/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/06\": {\"grocery\": {\"eid\": \"e15162\", \"logical_representation\": [\"2020/04/06\", \"I went grocery shopping with Emily, Carter, Kayden, Andrew. I bought some cherres, apple juice, soda, coffee, and conditioner\", \"cherres\", \"apple juice, soda, coffee\", \"conditioner\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I went grocery shopping with Emily, Carter, Kayden, Andrew. I bought some cherres, apple juice, soda, coffee, and conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/04/06?\", \"cherres, apple juice, soda, coffee, and conditioner\"], [\"what fruits did I buy from the grocery store on 2020/04/06?\", \"cherres\"], [\"what drinks did I buy from the grocery store on 2020/04/06?\", \"apple juice, soda, coffee\"], [\"what toiletries did I buy from the grocery store on 2020/04/06?\", \"conditioner\"], [\"who was with me at the grocery store on 2020/04/06?\", \"Emily, Carter, Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15612\", \"logical_representation\": [\"2020/04/06\", \"lunch\", \"a burger\", \"Rylee, Nevaeh, Lydia, Claire, Olivia, Nora, Kinsley\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/04/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15613\", \"logical_representation\": [\"2020/04/06\", \"dinner\", \"indian food\", \"Andrew, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/04/06?\", \"Andrew, Carter\"], [\"what did I eat for dinner on 2020/04/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15614\", \"logical_representation\": [\"2020/04/06\", \"Claire\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Claire for 9 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2020/04/06?\", \"9 minutes\"], [\"who did I talk to on 2020/04/06?\", \"Claire\"], [\"Did I talk to Claire on 2020/04/06?\", \"yes\"], [\"Did I talk to anyone on 2020/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/08\": {\"grocery\": {\"eid\": \"e15163\", \"logical_representation\": [\"2020/04/08\", \"I bought some mangos, pears, pineapples, tea, soda, orange juice, toothpaste, conditioner, mouth wash from the grocery store. I saw Kinsley, Hazel, Piper, Lydia, Eva, Olivia, Rylee at the grocery store.\", \"mangos, pears, pineapples\", \"tea, soda, orange juice\", \"toothpaste, conditioner, mouth wash\", \"Kinsley, Hazel, Piper, Lydia, Eva, Olivia, Rylee\"], \"text_template_based\": \"I bought some mangos, pears, pineapples, tea, soda, orange juice, toothpaste, conditioner, mouth wash from the grocery store. I saw Kinsley, Hazel, Piper, Lydia, Eva, Olivia, Rylee at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/04/08?\", \"mangos, pears, pineapples, tea, soda, orange juice, and toothpaste, conditioner, mouth wash\"], [\"what fruits did I buy from the grocery store on 2020/04/08?\", \"mangos, pears, pineapples\"], [\"what drinks did I buy from the grocery store on 2020/04/08?\", \"tea, soda, orange juice\"], [\"what toiletries did I buy from the grocery store on 2020/04/08?\", \"toothpaste, conditioner, mouth wash\"], [\"who did I see at the grocery store on 2020/04/08?\", \"Kinsley, Hazel, Piper, Lydia, Eva, Olivia, Rylee\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15619\", \"logical_representation\": [\"2020/04/08\", \"biking\"], \"text_template_based\": \"I did biking on 2020/04/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/08?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2020/04/13\": {\"grocery\": {\"eid\": \"e15164\", \"logical_representation\": [\"2020/04/13\", \"I went grocery shopping with Piper, Piper, Layla, Nevaeh, Claire, Olivia, Nora, Avery, Hazel, Rylee, Eva, Kinsley, Lydia. I bought some apples, blueberries, watermelons, pineapple juice, chocolate milk, coffee, tea, and mouth wash, toothbrush, mouthwash\", \"apples, blueberries, watermelons\", \"pineapple juice, chocolate milk, coffee, tea\", \"mouth wash, toothbrush, mouthwash\", \"Piper, Piper, Layla, Nevaeh, Claire, Olivia, Nora, Avery, Hazel, Rylee, Eva, Kinsley, Lydia\"], \"text_template_based\": \"I went grocery shopping with Piper, Piper, Layla, Nevaeh, Claire, Olivia, Nora, Avery, Hazel, Rylee, Eva, Kinsley, Lydia. I bought some apples, blueberries, watermelons, pineapple juice, chocolate milk, coffee, tea, and mouth wash, toothbrush, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/04/13?\", \"apples, blueberries, watermelons, pineapple juice, chocolate milk, coffee, tea, and mouth wash, toothbrush, mouthwash\"], [\"what fruits did I buy from the grocery store on 2020/04/13?\", \"apples, blueberries, watermelons\"], [\"what drinks did I buy from the grocery store on 2020/04/13?\", \"pineapple juice, chocolate milk, coffee, tea\"], [\"what toiletries did I buy from the grocery store on 2020/04/13?\", \"mouth wash, toothbrush, mouthwash\"], [\"who was with me at the grocery store on 2020/04/13?\", \"Piper, Piper, Layla, Nevaeh, Claire, Olivia, Nora, Avery, Hazel, Rylee, Eva, Kinsley, Lydia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15634\", \"logical_representation\": [\"2020/04/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/04/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15635\", \"logical_representation\": [\"2020/04/13\", \"Piper, Layla\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Piper, Layla for 15 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla in the early evening on 2020/04/13?\", \"15 minutes\"], [\"who did I talk to on 2020/04/13?\", \"Piper, Layla\"], [\"Did I talk to Piper, Layla on 2020/04/13?\", \"yes\"], [\"Did I talk to anyone on 2020/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/17\": {\"dating\": {\"eid\": \"e15165\", \"logical_representation\": [\"2020/04/17\", \"Owen\", \"a park\"], \"text_template_based\": \"On 2020/04/17, I took Owen on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/04/17\", \"Owen\"], [\"where did I go for the date on 2020/04/17\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e15166\", \"logical_representation\": [\"2020/04/17\", \"I went grocery shopping. I bought some mandarins, blackberries, apples, strawberries, sports drinks, apple juice, and toothpaste, paper towel, facial wash, shampoo\", \"mandarins, blackberries, apples, strawberries\", \"sports drinks, apple juice\", \"toothpaste, paper towel, facial wash, shampoo\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, blackberries, apples, strawberries, sports drinks, apple juice, and toothpaste, paper towel, facial wash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/04/17?\", \"mandarins, blackberries, apples, strawberries, sports drinks, apple juice, and toothpaste, paper towel, facial wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2020/04/17?\", \"mandarins, blackberries, apples, strawberries\"], [\"what drinks did I buy from the grocery store on 2020/04/17?\", \"sports drinks, apple juice\"], [\"what toiletries did I buy from the grocery store on 2020/04/17?\", \"toothpaste, paper towel, facial wash, shampoo\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15646\", \"logical_representation\": [\"2020/04/17\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/04/17?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for breakfast on 2020/04/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15647\", \"logical_representation\": [\"2020/04/17\", \"lunch\", \"fish and chips\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Carter, Andrew. 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I saw Willow at the grocery store.\", \"apricots, guava\", \"pineapple juice\", \"paper towel\", \"Willow\"], \"text_template_based\": \"I bought some apricots, guava, pineapple juice, paper towel from the grocery store. I saw Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/04/25?\", \"apricots, guava, pineapple juice, and paper towel\"], [\"what fruits did I buy from the grocery store on 2020/04/25?\", \"apricots, guava\"], [\"what drinks did I buy from the grocery store on 2020/04/25?\", \"pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2020/04/25?\", \"paper towel\"], [\"who did I see at the grocery store on 2020/04/25?\", \"Willow\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15672\", \"logical_representation\": [\"2020/04/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/04/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15673\", \"logical_representation\": [\"2020/04/25\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I had pancakes for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/04/25?\", \"Carter\"], [\"what did I eat for breakfast on 2020/04/25\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15674\", \"logical_representation\": [\"2020/04/25\", \"dinner\", \"chinese food\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15675\", \"logical_representation\": [\"2020/04/25\", \"Olivia, Claire, Eva\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Olivia, Claire, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire, Eva in the late afternoon on 2020/04/25?\", \"38 minutes\"], [\"who did I talk to on 2020/04/25?\", \"Olivia, Claire, Eva\"], [\"Did I talk to Olivia, Claire, Eva on 2020/04/25?\", \"yes\"], [\"Did I talk to anyone on 2020/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15676\", \"logical_representation\": [\"2020/04/25\", \"Hazel, Olivia, Layla\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Hazel, Olivia, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia, Layla in the late afternoon on 2020/04/25?\", \"47 minutes\"], [\"who did I talk to on 2020/04/25?\", \"Hazel, Olivia, Layla\"], [\"Did I talk to Hazel, Olivia, Layla on 2020/04/25?\", \"yes\"], [\"Did I talk to anyone on 2020/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15677\", \"logical_representation\": [\"2020/04/25\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/04/25?\", \"43 minutes\"], [\"what did I read on 2020/04/25?\", \"a book\"], [\"Did I read on 2020/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/29\": {\"dating\": {\"eid\": \"e15169\", \"logical_representation\": [\"2020/04/29\", \"Adam\", \"a park\"], \"text_template_based\": \"I went on a date with Adam on 2020/04/29 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/04/29\", \"Adam\"], [\"where did I go for the date on 2020/04/29\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e15170\", \"logical_representation\": [\"2020/04/29\", \"I bought some watermelons, apricots, peaches, pears, tea, conditioner, paper towel, shaving cream, toothpaste from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\", \"watermelons, apricots, peaches, pears\", \"tea\", \"conditioner, paper towel, shaving cream, toothpaste\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I bought some watermelons, apricots, peaches, pears, tea, conditioner, paper towel, shaving cream, toothpaste from the grocery store. I saw Andrew, Carter, Emily, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/04/29?\", \"watermelons, apricots, peaches, pears, tea, and conditioner, paper towel, shaving cream, toothpaste\"], [\"what fruits did I buy from the grocery store on 2020/04/29?\", \"watermelons, apricots, peaches, pears\"], [\"what drinks did I buy from the grocery store on 2020/04/29?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2020/04/29?\", \"conditioner, paper towel, shaving cream, toothpaste\"], [\"who did I see at the grocery store on 2020/04/29?\", \"Andrew, Carter, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15687\", \"logical_representation\": [\"2020/04/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/04/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15688\", \"logical_representation\": [\"2020/04/29\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/04/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15689\", \"logical_representation\": [\"2020/04/29\", \"lunch\", \"steak\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/04/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15690\", \"logical_representation\": [\"2020/04/29\", \"Rylee, Eva\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Rylee, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva in the late afternoon on 2020/04/29?\", \"27 minutes\"], [\"who did I talk to on 2020/04/29?\", \"Rylee, Eva\"], [\"Did I talk to Rylee, Eva on 2020/04/29?\", \"yes\"], [\"Did I talk to anyone on 2020/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/03\": {\"grocery\": {\"eid\": \"e15171\", \"logical_representation\": [\"2020/05/03\", \"I went grocery shopping. I bought some mangos, pineapple juice, guava juice, and mouth wash, toilet paper, body lotion\", \"mangos\", \"pineapple juice, guava juice\", \"mouth wash, toilet paper, body lotion\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, pineapple juice, guava juice, and mouth wash, toilet paper, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/05/03?\", \"mangos, pineapple juice, guava juice, and mouth wash, toilet paper, body lotion\"], [\"what fruits did I buy from the grocery store on 2020/05/03?\", \"mangos\"], [\"what drinks did I buy from the grocery store on 2020/05/03?\", \"pineapple juice, guava juice\"], [\"what toiletries did I buy from the grocery store on 2020/05/03?\", \"mouth wash, toilet paper, body lotion\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15701\", \"logical_representation\": [\"2020/05/03\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/05/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15702\", \"logical_representation\": [\"2020/05/03\", \"Hazel, Piper, Claire, Kinsley\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Hazel, Piper, Claire, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Claire, Kinsley late in the evening on 2020/05/03?\", \"40 minutes\"], [\"who did I talk to on 2020/05/03?\", \"Hazel, Piper, Claire, Kinsley\"], [\"Did I talk to Hazel, Piper, Claire, Kinsley on 2020/05/03?\", \"yes\"], [\"Did I talk to anyone on 2020/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15703\", \"logical_representation\": [\"2020/05/03\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/05/03?\", \"52 minutes\"], [\"what did I read on 2020/05/03?\", \"news\"], [\"Did I read on 2020/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15704\", \"logical_representation\": [\"2020/05/03\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I watched a documentary for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/03?\", \"47 minutes\"], [\"what did I watch on tv on 2020/05/03?\", \"a documentary\"], [\"Did I watch tv on 2020/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/08\": {\"hobbies\": {\"eid\": \"e15172\", \"logical_representation\": [\"2020/05/08\", \"I spent time meditation on 2020/05/08 with Emily, Carter, Andrew.\", \"meditation\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I spent time meditation on 2020/05/08 with Emily, Carter, Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Emily, Carter, Andrew?\", \"2020/05/08\"], [\"On 2020/05/08, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2020/05/08?\", \"Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15719\", \"logical_representation\": [\"2020/05/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/05/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15720\", \"logical_representation\": [\"2020/05/08\", \"breakfast\", \"cereals\", \"Kayden, Carter\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/05/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15721\", \"logical_representation\": [\"2020/05/08\", \"lunch\", \"sandwich\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/05/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15722\", \"logical_representation\": [\"2020/05/08\", \"dinner\", \"a burger\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15723\", \"logical_representation\": [\"2020/05/08\", \"Nora, Rylee, Kinsley, Lydia\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Nora, Rylee, Kinsley, Lydia for 52 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Kinsley, Lydia in the early afternoon on 2020/05/08?\", \"52 minutes\"], [\"who did I talk to on 2020/05/08?\", \"Nora, Rylee, Kinsley, Lydia\"], [\"Did I talk to Nora, Rylee, Kinsley, Lydia on 2020/05/08?\", \"yes\"], [\"Did I talk to anyone on 2020/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15724\", \"logical_representation\": [\"2020/05/08\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/05/08?\", \"34 minutes\"], [\"what did I read on 2020/05/08?\", \"social media\"], [\"Did I read on 2020/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/17\": {\"grocery\": {\"eid\": \"e15174\", \"logical_representation\": [\"2020/05/17\", \"I went grocery shopping. I bought some pears, guava juice, coffee, and facial wash\", \"pears\", \"guava juice, coffee\", \"facial wash\", \"Avery, Benjamin\"], \"text_template_based\": \"I went grocery shopping. I bought some pears, guava juice, coffee, and facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/05/17?\", \"pears, guava juice, coffee, and facial wash\"], [\"what fruits did I buy from the grocery store on 2020/05/17?\", \"pears\"], [\"what drinks did I buy from the grocery store on 2020/05/17?\", \"guava juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2020/05/17?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15751\", \"logical_representation\": [\"2020/05/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/05/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15752\", \"logical_representation\": [\"2020/05/17\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/05/17?\", \"Emily\"], [\"what did I eat for breakfast on 2020/05/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15753\", \"logical_representation\": [\"2020/05/17\", \"lunch\", \"fish and chips\", \"Avery, Piper, Layla, Olivia, Claire, Nevaeh, Hazel, Nora, Piper, Eva, Lydia, Kinsley\"], \"text_template_based\": \"I had lunch with Avery, Piper, Layla, Olivia, Claire, Nevaeh, Hazel, Nora, Piper, Eva, Lydia, Kinsley. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/05/17?\", \"Avery, Piper, Layla, Olivia, Claire, Nevaeh, Hazel, Nora, Piper, Eva, Lydia, Kinsley\"], [\"what did I eat for lunch on 2020/05/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15754\", \"logical_representation\": [\"2020/05/17\", \"dinner\", \"sandwich\", \"Willow\"], \"text_template_based\": \"I had dinner with Willow. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/05/17?\", \"Willow\"], [\"what did I eat for dinner on 2020/05/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15755\", \"logical_representation\": [\"2020/05/17\", \"Layla, Kinsley\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Layla, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley late in the evening on 2020/05/17?\", \"9 minutes\"], [\"who did I talk to on 2020/05/17?\", \"Layla, Kinsley\"], [\"Did I talk to Layla, Kinsley on 2020/05/17?\", \"yes\"], [\"Did I talk to anyone on 2020/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15756\", \"logical_representation\": [\"2020/05/17\", \"Olivia, Piper, Kinsley, Eva\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Kinsley, Eva for 34 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Kinsley, Eva in the late afternoon on 2020/05/17?\", \"34 minutes\"], [\"who did I talk to on 2020/05/17?\", \"Olivia, Piper, Kinsley, Eva\"], [\"Did I talk to Olivia, Piper, Kinsley, Eva on 2020/05/17?\", \"yes\"], [\"Did I talk to anyone on 2020/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/21\": {\"grocery\": {\"eid\": \"e15175\", \"logical_representation\": [\"2020/05/21\", \"I went grocery shopping. I bought some oranges, strawberries, orange juice, and mouth wash, mouthwash, shaving cream, conditioner\", \"oranges, strawberries\", \"orange juice\", \"mouth wash, mouthwash, shaving cream, conditioner\", \"Rylee, Piper, Nevaeh, Kinsley, Avery, Olivia, Layla, Nora\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, strawberries, orange juice, and mouth wash, mouthwash, shaving cream, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/05/21?\", \"oranges, strawberries, orange juice, and mouth wash, mouthwash, shaving cream, conditioner\"], [\"what fruits did I buy from the grocery store on 2020/05/21?\", \"oranges, strawberries\"], [\"what drinks did I buy from the grocery store on 2020/05/21?\", \"orange juice\"], [\"what toiletries did I buy from the grocery store on 2020/05/21?\", \"mouth wash, mouthwash, shaving cream, conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15766\", \"logical_representation\": [\"2020/05/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/05/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15767\", \"logical_representation\": [\"2020/05/21\", \"breakfast\", \"toast and cheese\", \"Layla, Rylee\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/05/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15768\", \"logical_representation\": [\"2020/05/21\", \"lunch\", \"sandwich\", \"Rylee, Eva, Hazel\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/05/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/06/02\": {\"dating\": {\"eid\": \"e15176\", \"logical_representation\": [\"2020/06/02\", \"Benjamin\", \"a boba shop\"], \"text_template_based\": \"On 2020/06/02, I took Benjamin on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/06/02\", \"Benjamin\"], [\"where did I go for the date on 2020/06/02\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15806\", \"logical_representation\": [\"2020/06/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/06/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15807\", \"logical_representation\": [\"2020/06/02\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Carter. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/06/02?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2020/06/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15808\", \"logical_representation\": [\"2020/06/02\", \"dinner\", \"sandwich\", \"Avery, Benjamin\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15809\", \"logical_representation\": [\"2020/06/02\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/06/02?\", \"14 minutes\"], [\"what did I read on 2020/06/02?\", \"social media\"], [\"Did I read on 2020/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/01\": {\"grocery\": {\"eid\": \"e15177\", \"logical_representation\": [\"2020/06/01\", \"I went grocery shopping. I bought some oranges, mangos, mandarins, mineral water, mango juice, orange juice, and mouth wash, shaving cream\", \"oranges, mangos, mandarins\", \"mineral water, mango juice, orange juice\", \"mouth wash, shaving cream\", \"Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, mangos, mandarins, mineral water, mango juice, orange juice, and mouth wash, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/06/01?\", \"oranges, mangos, mandarins, mineral water, mango juice, orange juice, and mouth wash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2020/06/01?\", \"oranges, mangos, mandarins\"], [\"what drinks did I buy from the grocery store on 2020/06/01?\", \"mineral water, mango juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2020/06/01?\", \"mouth wash, shaving cream\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15804\", \"logical_representation\": [\"2020/06/01\", \"dinner\", \"indian food\", \"Avery, Nora, Kinsley, Layla, Nevaeh, Olivia, Piper\"], \"text_template_based\": \"I had indian food for dinner with Avery, Nora, Kinsley, Layla, Nevaeh, Olivia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/06/01?\", \"Avery, Nora, Kinsley, Layla, Nevaeh, Olivia, Piper\"], [\"what did I eat for dinner on 2020/06/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15805\", \"logical_representation\": [\"2020/06/01\", \"Olivia, Kinsley, Rylee\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Olivia, Kinsley, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Rylee during lunch hours on 2020/06/01?\", \"23 minutes\"], [\"who did I talk to on 2020/06/01?\", \"Olivia, Kinsley, Rylee\"], [\"Did I talk to Olivia, Kinsley, Rylee on 2020/06/01?\", \"yes\"], [\"Did I talk to anyone on 2020/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/08\": {\"grocery\": {\"eid\": \"e15178\", \"logical_representation\": [\"2020/06/08\", \"I bought some strawberries, soda, shaving cream, toothpaste from the grocery store. I saw Andrew at the grocery store.\", \"strawberries\", \"soda\", \"shaving cream, toothpaste\", \"Andrew\"], \"text_template_based\": \"I bought some strawberries, soda, shaving cream, toothpaste from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/06/08?\", \"strawberries, soda, and shaving cream, toothpaste\"], [\"what fruits did I buy from the grocery store on 2020/06/08?\", \"strawberries\"], [\"what drinks did I buy from the grocery store on 2020/06/08?\", \"soda\"], [\"what toiletries did I buy from the grocery store on 2020/06/08?\", \"shaving cream, toothpaste\"], [\"who did I see at the grocery store on 2020/06/08?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15827\", \"logical_representation\": [\"2020/06/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Avery\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/06/08?\", \"Benjamin, Avery\"], [\"what did I eat for breakfast on 2020/06/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15828\", \"logical_representation\": [\"2020/06/08\", \"Olivia, Nevaeh\", \"late in the evening\", \"44 minutes\"], \"text_template_based\": \"I talked to Olivia, Nevaeh for 44 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh late in the evening on 2020/06/08?\", \"44 minutes\"], [\"who did I talk to on 2020/06/08?\", \"Olivia, Nevaeh\"], [\"Did I talk to Olivia, Nevaeh on 2020/06/08?\", \"yes\"], [\"Did I talk to anyone on 2020/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15829\", \"logical_representation\": [\"2020/06/08\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/08?\", \"5 minutes\"], [\"what did I watch on tv on 2020/06/08?\", \"a tv series\"], [\"Did I watch tv on 2020/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/15\": {\"cook\": {\"eid\": \"e15179\", \"logical_representation\": [\"2020/06/15\", \"I entertained Nevaeh at my place on 2020/06/15 and cook tender salsa beef, healthy turkey chili, thai noodle salad\", \"cook\", \"tender salsa beef, healthy turkey chili, thai noodle salad\", \"Nevaeh\", \"my place\"], \"text_template_based\": \"I entertained Nevaeh at my place on 2020/06/15 and cook tender salsa beef, healthy turkey chili, thai noodle salad\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook tender salsa beef, healthy turkey chili, thai noodle salad with Nevaeh?\", \"2020/06/15\"], [\"what did I cook on 2020/06/15?\", \"tender salsa beef, healthy turkey chili, thai noodle salad\"], [\"who was I with when I  tender salsa beef, healthy turkey chili, thai noodle salad on 2020/06/15?\", \"Nevaeh\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15851\", \"logical_representation\": [\"2020/06/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/06/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15852\", \"logical_representation\": [\"2020/06/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Jackson\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/06/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15853\", \"logical_representation\": [\"2020/06/15\", \"lunch\", \"steak\", \"Andrew, Emily\"], \"text_template_based\": \"I had steak for lunch with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/06/15?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2020/06/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15854\", \"logical_representation\": [\"2020/06/15\", \"dinner\", \"sushi\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/06/15?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2020/06/15\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2020/06/12\": {\"hobbies\": {\"eid\": \"e15180\", \"logical_representation\": [\"2020/06/12\", \"I spent time yoga on 2020/06/12 with Rylee.\", \"yoga\", \"Rylee\"], \"text_template_based\": \"I spent time yoga on 2020/06/12 with Rylee.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Rylee?\", \"2020/06/12\"], [\"On 2020/06/12, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2020/06/12?\", \"Rylee\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e15181\", \"logical_representation\": [\"2020/06/12\", \"I went grocery shopping. I bought some strawberries, bananas, chocolate milk, guava juice, pineapple juice, and toilet paper, body lotion, paper towel\", \"strawberries, bananas\", \"chocolate milk, guava juice, pineapple juice\", \"toilet paper, body lotion, paper towel\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some strawberries, bananas, chocolate milk, guava juice, pineapple juice, and toilet paper, body lotion, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/06/12?\", \"strawberries, bananas, chocolate milk, guava juice, pineapple juice, and toilet paper, body lotion, paper towel\"], [\"what fruits did I buy from the grocery store on 2020/06/12?\", \"strawberries, bananas\"], [\"what drinks did I buy from the grocery store on 2020/06/12?\", \"chocolate milk, guava juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2020/06/12?\", \"toilet paper, body lotion, paper towel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15840\", \"logical_representation\": [\"2020/06/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/06/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15841\", \"logical_representation\": [\"2020/06/12\", \"breakfast\", \"toast and cheese\", \"Hazel, Eva, Lydia, Layla, Olivia, Claire, Nevaeh, Kinsley, Nora, Piper, Avery, Rylee, Piper\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/06/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15842\", \"logical_representation\": [\"2020/06/12\", \"dinner\", \"chinese food\", \"Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15843\", \"logical_representation\": [\"2020/06/12\", \"Hazel, Kinsley, Layla, Piper\", \"during lunch hours\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Hazel, Kinsley, Layla, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley, Layla, Piper during lunch hours on 2020/06/12?\", \"10 minutes\"], [\"who did I talk to on 2020/06/12?\", \"Hazel, Kinsley, Layla, Piper\"], [\"Did I talk to Hazel, Kinsley, Layla, Piper on 2020/06/12?\", \"yes\"], [\"Did I talk to anyone on 2020/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15844\", \"logical_representation\": [\"2020/06/12\", \"Claire, Olivia, Avery\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Claire, Olivia, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Avery in the late afternoon on 2020/06/12?\", \"51 minutes\"], [\"who did I talk to on 2020/06/12?\", \"Claire, Olivia, Avery\"], [\"Did I talk to Claire, Olivia, Avery on 2020/06/12?\", \"yes\"], [\"Did I talk to anyone on 2020/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/22\": {\"grocery\": {\"eid\": \"e15182\", \"logical_representation\": [\"2020/06/22\", \"I went grocery shopping. I bought some pears, oranges, cherres, chocolate milk, milk, and body lotion, shaving cream, toothbrush, mouth wash\", \"pears, oranges, cherres\", \"chocolate milk, milk\", \"body lotion, shaving cream, toothbrush, mouth wash\", \"Benjamin, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some pears, oranges, cherres, chocolate milk, milk, and body lotion, shaving cream, toothbrush, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/06/22?\", \"pears, oranges, cherres, chocolate milk, milk, and body lotion, shaving cream, toothbrush, mouth wash\"], [\"what fruits did I buy from the grocery store on 2020/06/22?\", \"pears, oranges, cherres\"], [\"what drinks did I buy from the grocery store on 2020/06/22?\", \"chocolate milk, milk\"], [\"what toiletries did I buy from the grocery store on 2020/06/22?\", \"body lotion, shaving cream, toothbrush, mouth wash\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15879\", \"logical_representation\": [\"2020/06/22\", \"dinner\", \"pasta\", \"Lydia, Piper, Nora, Kinsley, Hazel, Nevaeh, Rylee\"], \"text_template_based\": \"I had dinner with Lydia, Piper, Nora, Kinsley, Hazel, Nevaeh, Rylee. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/06/22?\", \"Lydia, Piper, Nora, Kinsley, Hazel, Nevaeh, Rylee\"], [\"what did I eat for dinner on 2020/06/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15880\", \"logical_representation\": [\"2020/06/22\", \"Hazel, Avery, Kinsley, Lydia\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Hazel, Avery, Kinsley, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Kinsley, Lydia in the morning on 2020/06/22?\", \"29 minutes\"], [\"who did I talk to on 2020/06/22?\", \"Hazel, Avery, Kinsley, Lydia\"], [\"Did I talk to Hazel, Avery, Kinsley, Lydia on 2020/06/22?\", \"yes\"], [\"Did I talk to anyone on 2020/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/30\": {\"dating\": {\"eid\": \"e15183\", \"logical_representation\": [\"2020/06/30\", \"Owen\", \"a boba shop\"], \"text_template_based\": \"On 2020/06/30, I took Owen on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/06/30\", \"Owen\"], [\"where did I go for the date on 2020/06/30\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15907\", \"logical_representation\": [\"2020/06/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/06/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15908\", \"logical_representation\": [\"2020/06/30\", \"breakfast\", \"toast and cheese\", \"Piper, Claire, Nora, Piper, Olivia, Kinsley, Hazel, Rylee, Layla, Eva, Lydia\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/06/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15909\", \"logical_representation\": [\"2020/06/30\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I watched a movie for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/30?\", \"33 minutes\"], [\"what did I watch on tv on 2020/06/30?\", \"a movie\"], [\"Did I watch tv on 2020/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/28\": {\"grocery\": {\"eid\": \"e15184\", \"logical_representation\": [\"2020/06/28\", \"I went grocery shopping with Andrew, Emily, Carter. I bought some pineapples, pineapple juice, tea, mineral water, and shampoo, toilet paper, body lotion, mouthwash\", \"pineapples\", \"pineapple juice, tea, mineral water\", \"shampoo, toilet paper, body lotion, mouthwash\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I went grocery shopping with Andrew, Emily, Carter. I bought some pineapples, pineapple juice, tea, mineral water, and shampoo, toilet paper, body lotion, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/06/28?\", \"pineapples, pineapple juice, tea, mineral water, and shampoo, toilet paper, body lotion, mouthwash\"], [\"what fruits did I buy from the grocery store on 2020/06/28?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2020/06/28?\", \"pineapple juice, tea, mineral water\"], [\"what toiletries did I buy from the grocery store on 2020/06/28?\", \"shampoo, toilet paper, body lotion, mouthwash\"], [\"who was with me at the grocery store on 2020/06/28?\", \"Andrew, Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15901\", \"logical_representation\": [\"2020/06/28\", \"breakfast\", \"oatmeal\", \"Rylee, Olivia, Hazel, Lydia, Eva, Piper, Claire, Nora\"], \"text_template_based\": \"I had breakfast with Rylee, Olivia, Hazel, Lydia, Eva, Piper, Claire, Nora. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/06/28?\", \"Rylee, Olivia, Hazel, Lydia, Eva, Piper, Claire, Nora\"], [\"what did I eat for breakfast on 2020/06/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15902\", \"logical_representation\": [\"2020/06/28\", \"a documentary\", \"34 minutes\"], \"text_template_based\": \"I watched a documentary for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/28?\", \"34 minutes\"], [\"what did I watch on tv on 2020/06/28?\", \"a documentary\"], [\"Did I watch tv on 2020/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/03\": {\"dating\": {\"eid\": \"e15185\", \"logical_representation\": [\"2020/07/03\", \"Miles\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Miles on 2020/07/03 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/07/03\", \"Miles\"], [\"where did I go for the date on 2020/07/03\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e15187\", \"logical_representation\": [\"2020/07/03\", \"I bought some watermelons, pineapples, milk, mango juice, apple juice, soda, body lotion from the grocery store. I saw Andrew at the grocery store.\", \"watermelons, pineapples\", \"milk, mango juice, apple juice, soda\", \"body lotion\", \"Andrew\"], \"text_template_based\": \"I bought some watermelons, pineapples, milk, mango juice, apple juice, soda, body lotion from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/07/03?\", \"watermelons, pineapples, milk, mango juice, apple juice, soda, and body lotion\"], [\"what fruits did I buy from the grocery store on 2020/07/03?\", \"watermelons, pineapples\"], [\"what drinks did I buy from the grocery store on 2020/07/03?\", \"milk, mango juice, apple juice, soda\"], [\"what toiletries did I buy from the grocery store on 2020/07/03?\", \"body lotion\"], [\"who did I see at the grocery store on 2020/07/03?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15919\", \"logical_representation\": [\"2020/07/03\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/07/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/03?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15920\", \"logical_representation\": [\"2020/07/03\", \"lunch\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/03\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2020/07/04\": {\"dating\": {\"eid\": \"e15186\", \"logical_representation\": [\"2020/07/04\", \"Ava\", \"a coffee Shop\"], \"text_template_based\": \"On 2020/07/04, I took Ava on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/07/04\", \"Ava\"], [\"where did I go for the date on 2020/07/04\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15921\", \"logical_representation\": [\"2020/07/04\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/07/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/04?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15922\", \"logical_representation\": [\"2020/07/04\", \"dinner\", \"fish and chips\", \"Piper\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15923\", \"logical_representation\": [\"2020/07/04\", \"a tv series\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/04?\", \"52 minutes\"], [\"what did I watch on tv on 2020/07/04?\", \"a tv series\"], [\"Did I watch tv on 2020/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/14\": {\"dating\": {\"eid\": \"e15188\", \"logical_representation\": [\"2020/07/14\", \"Kinsley\", \"a boba shop\"], \"text_template_based\": \"On 2020/07/14, I took Kinsley on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/07/14\", \"Kinsley\"], [\"where did I go for the date on 2020/07/14\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15959\", \"logical_representation\": [\"2020/07/14\", \"running\"], \"text_template_based\": \"I did running on 2020/07/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15960\", \"logical_representation\": [\"2020/07/14\", \"Nora\", \"in the early evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2020/07/14?\", \"55 minutes\"], [\"who did I talk to on 2020/07/14?\", \"Nora\"], [\"Did I talk to Nora on 2020/07/14?\", \"yes\"], [\"Did I talk to anyone on 2020/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15961\", \"logical_representation\": [\"2020/07/14\", \"Claire, Nora, Lydia, Kinsley\", \"during lunch hours\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Claire, Nora, Lydia, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Lydia, Kinsley during lunch hours on 2020/07/14?\", \"45 minutes\"], [\"who did I talk to on 2020/07/14?\", \"Claire, Nora, Lydia, Kinsley\"], [\"Did I talk to Claire, Nora, Lydia, Kinsley on 2020/07/14?\", \"yes\"], [\"Did I talk to anyone on 2020/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15962\", \"logical_representation\": [\"2020/07/14\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/07/14?\", \"36 minutes\"], [\"what did I read on 2020/07/14?\", \"social media\"], [\"Did I read on 2020/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15963\", \"logical_representation\": [\"2020/07/14\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/14?\", \"35 minutes\"], [\"what did I watch on tv on 2020/07/14?\", \"a documentary\"], [\"Did I watch tv on 2020/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/12\": {\"hobbies\": {\"eid\": \"e15189\", \"logical_representation\": [\"2020/07/12\", \"I really enjoyed learning a language on 2020/07/12\", \"learning a language\", \"Emily\"], \"text_template_based\": \"I really enjoyed learning a language on 2020/07/12\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2020/07/12\"], [\"On 2020/07/12, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e15190\", \"logical_representation\": [\"2020/07/12\", \"I bought some clementines, apples, blackberries, pineapples, orange juice, mineral water, milk, chocolate milk, mouthwash from the grocery store. I saw Nora, Kinsley, Lydia, Eva, Layla, Piper, Claire, Piper at the grocery store.\", \"clementines, apples, blackberries, pineapples\", \"orange juice, mineral water, milk, chocolate milk\", \"mouthwash\", \"Nora, Kinsley, Lydia, Eva, Layla, Piper, Claire, Piper\"], \"text_template_based\": \"I bought some clementines, apples, blackberries, pineapples, orange juice, mineral water, milk, chocolate milk, mouthwash from the grocery store. I saw Nora, Kinsley, Lydia, Eva, Layla, Piper, Claire, Piper at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/07/12?\", \"clementines, apples, blackberries, pineapples, orange juice, mineral water, milk, chocolate milk, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2020/07/12?\", \"clementines, apples, blackberries, pineapples\"], [\"what drinks did I buy from the grocery store on 2020/07/12?\", \"orange juice, mineral water, milk, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2020/07/12?\", \"mouthwash\"], [\"who did I see at the grocery store on 2020/07/12?\", \"Nora, Kinsley, Lydia, Eva, Layla, Piper, Claire, Piper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15949\", \"logical_representation\": [\"2020/07/12\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/07/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15950\", \"logical_representation\": [\"2020/07/12\", \"lunch\", \"pasta\", \"Lydia, Layla, Claire, Olivia, Piper, Nevaeh\"], \"text_template_based\": \"I had lunch with Lydia, Layla, Claire, Olivia, Piper, Nevaeh. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/07/12?\", \"Lydia, Layla, Claire, Olivia, Piper, Nevaeh\"], [\"what did I eat for lunch on 2020/07/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15951\", \"logical_representation\": [\"2020/07/12\", \"dinner\", \"pasta\", \"Carter, Kayden\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15952\", \"logical_representation\": [\"2020/07/12\", \"Nora, Piper, Claire\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Nora, Piper, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Claire in the morning on 2020/07/12?\", \"40 minutes\"], [\"who did I talk to on 2020/07/12?\", \"Nora, Piper, Claire\"], [\"Did I talk to Nora, Piper, Claire on 2020/07/12?\", \"yes\"], [\"Did I talk to anyone on 2020/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15953\", \"logical_representation\": [\"2020/07/12\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/07/12?\", \"28 minutes\"], [\"what did I read on 2020/07/12?\", \"news\"], [\"Did I read on 2020/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/20\": {\"grocery\": {\"eid\": \"e15191\", \"logical_representation\": [\"2020/07/20\", \"I bought some nectarines, sports drinks, guava juice, milk, paper towel, shaving cream, conditioner from the grocery store. I saw Avery at the grocery store.\", \"nectarines\", \"sports drinks, guava juice, milk\", \"paper towel, shaving cream, conditioner\", \"Avery\"], \"text_template_based\": \"I bought some nectarines, sports drinks, guava juice, milk, paper towel, shaving cream, conditioner from the grocery store. I saw Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/07/20?\", \"nectarines, sports drinks, guava juice, milk, and paper towel, shaving cream, conditioner\"], [\"what fruits did I buy from the grocery store on 2020/07/20?\", \"nectarines\"], [\"what drinks did I buy from the grocery store on 2020/07/20?\", \"sports drinks, guava juice, milk\"], [\"what toiletries did I buy from the grocery store on 2020/07/20?\", \"paper towel, shaving cream, conditioner\"], [\"who did I see at the grocery store on 2020/07/20?\", \"Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15986\", \"logical_representation\": [\"2020/07/20\", \"biking\"], \"text_template_based\": \"I did biking on 2020/07/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15987\", \"logical_representation\": [\"2020/07/20\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/07/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15988\", \"logical_representation\": [\"2020/07/20\", \"dinner\", \"pasta\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had pasta for dinner with Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/07/20?\", \"Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2020/07/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15989\", \"logical_representation\": [\"2020/07/20\", \"Avery, Nevaeh, Layla\", \"in the early evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Avery, Nevaeh, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Layla in the early evening on 2020/07/20?\", \"36 minutes\"], [\"who did I talk to on 2020/07/20?\", \"Avery, Nevaeh, Layla\"], [\"Did I talk to Avery, Nevaeh, Layla on 2020/07/20?\", \"yes\"], [\"Did I talk to anyone on 2020/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/22\": {\"grocery\": {\"eid\": \"e15192\", \"logical_representation\": [\"2020/07/22\", \"I went grocery shopping. I bought some peaches, raspberries, pineapples, mandarins, guava juice, pineapple juice, and paper towel, toothbrush\", \"peaches, raspberries, pineapples, mandarins\", \"guava juice, pineapple juice\", \"paper towel, toothbrush\", \"Olivia, Rylee, Eva, Layla\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, raspberries, pineapples, mandarins, guava juice, pineapple juice, and paper towel, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/07/22?\", \"peaches, raspberries, pineapples, mandarins, guava juice, pineapple juice, and paper towel, toothbrush\"], [\"what fruits did I buy from the grocery store on 2020/07/22?\", \"peaches, raspberries, pineapples, mandarins\"], [\"what drinks did I buy from the grocery store on 2020/07/22?\", \"guava juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2020/07/22?\", \"paper towel, toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e15993\", \"logical_representation\": [\"2020/07/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/07/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15994\", \"logical_representation\": [\"2020/07/22\", \"lunch\", \"chinese food\", \"Emily, Carter\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15995\", \"logical_representation\": [\"2020/07/22\", \"Lydia, Piper, Kinsley\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Kinsley for 21 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Kinsley late in the evening on 2020/07/22?\", \"21 minutes\"], [\"who did I talk to on 2020/07/22?\", \"Lydia, Piper, Kinsley\"], [\"Did I talk to Lydia, Piper, Kinsley on 2020/07/22?\", \"yes\"], [\"Did I talk to anyone on 2020/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/29\": {\"cook\": {\"eid\": \"e15193\", \"logical_representation\": [\"2020/07/29\", \"I really enjoyed cooking chicken and gravy on 2020/07/29 with Kayden, Emily at my place\", \"cook\", \"chicken and gravy\", \"Kayden, Emily\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking chicken and gravy on 2020/07/29 with Kayden, Emily at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  chicken and gravy with Kayden, Emily?\", \"2020/07/29\"], [\"what did I  on 2020/07/29?\", \"chicken and gravy\"], [\"who was I with when I  chicken and gravy on 2020/07/29?\", \"Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16022\", \"logical_representation\": [\"2020/07/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/07/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16023\", \"logical_representation\": [\"2020/07/29\", \"dinner\", \"sushi\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Carter, Kayden, Andrew, Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/07/29?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for dinner on 2020/07/29\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16024\", \"logical_representation\": [\"2020/07/29\", \"Lydia\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2020/07/29?\", \"31 minutes\"], [\"who did I talk to on 2020/07/29?\", \"Lydia\"], [\"Did I talk to Lydia on 2020/07/29?\", \"yes\"], [\"Did I talk to anyone on 2020/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16025\", \"logical_representation\": [\"2020/07/29\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/07/29?\", \"11 minutes\"], [\"what did I read on 2020/07/29?\", \"news\"], [\"Did I read on 2020/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/02\": {\"dating\": {\"eid\": \"e15194\", \"logical_representation\": [\"2020/08/02\", \"Ariana\", \"a park\"], \"text_template_based\": \"I went on a date with Ariana on 2020/08/02 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/08/02\", \"Ariana\"], [\"where did I go for the date on 2020/08/02\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16036\", \"logical_representation\": [\"2020/08/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/08/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16037\", \"logical_representation\": [\"2020/08/02\", \"dinner\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/08/02?\", \"Emily\"], [\"what did I eat for dinner on 2020/08/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16038\", \"logical_representation\": [\"2020/08/02\", \"Hazel, Olivia\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I talked to Hazel, Olivia for 14 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia in the morning on 2020/08/02?\", \"14 minutes\"], [\"who did I talk to on 2020/08/02?\", \"Hazel, Olivia\"], [\"Did I talk to Hazel, Olivia on 2020/08/02?\", \"yes\"], [\"Did I talk to anyone on 2020/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16039\", \"logical_representation\": [\"2020/08/02\", \"social media\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/08/02?\", \"41 minutes\"], [\"what did I read on 2020/08/02?\", \"social media\"], [\"Did I read on 2020/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/30\": {\"grocery\": {\"eid\": \"e15195\", \"logical_representation\": [\"2020/07/30\", \"I went grocery shopping with Jackson. I bought some peaches, nectarines, clementines, strawberries, mineral water, tea, and mouthwash\", \"peaches, nectarines, clementines, strawberries\", \"mineral water, tea\", \"mouthwash\", \"Jackson\"], \"text_template_based\": \"I went grocery shopping with Jackson. I bought some peaches, nectarines, clementines, strawberries, mineral water, tea, and mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/07/30?\", \"peaches, nectarines, clementines, strawberries, mineral water, tea, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2020/07/30?\", \"peaches, nectarines, clementines, strawberries\"], [\"what drinks did I buy from the grocery store on 2020/07/30?\", \"mineral water, tea\"], [\"what toiletries did I buy from the grocery store on 2020/07/30?\", \"mouthwash\"], [\"who was with me at the grocery store on 2020/07/30?\", \"Jackson\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16026\", \"logical_representation\": [\"2020/07/30\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/07/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/30?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16027\", \"logical_representation\": [\"2020/07/30\", \"lunch\", \"a burger\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16028\", \"logical_representation\": [\"2020/07/30\", \"dinner\", \"tacos\", \"Kinsley, Hazel, Piper, Lydia, Nora\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/30\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2020/08/04\": {\"grocery\": {\"eid\": \"e15196\", \"logical_representation\": [\"2020/08/04\", \"I went grocery shopping with Benjamin, Jackson, Avery. I bought some pineapples, cherres, blueberries, strawberries, coffee, tea, mineral water, chocolate milk, and shampoo, conditioner, paper towel\", \"pineapples, cherres, blueberries, strawberries\", \"coffee, tea, mineral water, chocolate milk\", \"shampoo, conditioner, paper towel\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I went grocery shopping with Benjamin, Jackson, Avery. I bought some pineapples, cherres, blueberries, strawberries, coffee, tea, mineral water, chocolate milk, and shampoo, conditioner, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/08/04?\", \"pineapples, cherres, blueberries, strawberries, coffee, tea, mineral water, chocolate milk, and shampoo, conditioner, paper towel\"], [\"what fruits did I buy from the grocery store on 2020/08/04?\", \"pineapples, cherres, blueberries, strawberries\"], [\"what drinks did I buy from the grocery store on 2020/08/04?\", \"coffee, tea, mineral water, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2020/08/04?\", \"shampoo, conditioner, paper towel\"], [\"who was with me at the grocery store on 2020/08/04?\", \"Benjamin, Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16043\", \"logical_representation\": [\"2020/08/04\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/08/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16044\", \"logical_representation\": [\"2020/08/04\", \"Layla\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I talked to Layla for 18 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla during lunch hours on 2020/08/04?\", \"18 minutes\"], [\"who did I talk to on 2020/08/04?\", \"Layla\"], [\"Did I talk to Layla on 2020/08/04?\", \"yes\"], [\"Did I talk to anyone on 2020/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16045\", \"logical_representation\": [\"2020/08/04\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/08/04?\", \"47 minutes\"], [\"what did I read on 2020/08/04?\", \"news\"], [\"Did I read on 2020/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16046\", \"logical_representation\": [\"2020/08/04\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I watched a tv series for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/04?\", \"10 minutes\"], [\"what did I watch on tv on 2020/08/04?\", \"a tv series\"], [\"Did I watch tv on 2020/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/11\": {\"dating\": {\"eid\": \"e15197\", \"logical_representation\": [\"2020/08/11\", \"Paisley\", \"a coffee Shop\"], \"text_template_based\": \"On 2020/08/11, I took Paisley on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/08/11\", \"Paisley\"], [\"where did I go for the date on 2020/08/11\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e15199\", \"logical_representation\": [\"2020/08/11\", \"I bought some blackberries, guava, mandarins, milk, guava juice, chocolate milk, sports drinks, shampoo online.\", \"blackberries, guava, mandarins\", \"milk, guava juice, chocolate milk, sports drinks\", \"shampoo\", \"Hazel, Claire, Olivia, Piper, Piper\"], \"text_template_based\": \"I bought some blackberries, guava, mandarins, milk, guava juice, chocolate milk, sports drinks, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/08/11?\", \"blackberries, guava, mandarins, milk, guava juice, chocolate milk, sports drinks, and shampoo\"], [\"what fruits did I buy online on 2020/08/11?\", \"blackberries, guava, mandarins\"], [\"what drinks did I buy online on 2020/08/11?\", \"milk, guava juice, chocolate milk, sports drinks\"], [\"what toiletries did I buy online on 2020/08/11?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16070\", \"logical_representation\": [\"2020/08/11\", \"lunch\", \"sandwich\", \"Avery\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/08/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16071\", \"logical_representation\": [\"2020/08/11\", \"dinner\", \"steak\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/08/11?\", \"Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2020/08/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16072\", \"logical_representation\": [\"2020/08/11\", \"Avery\", \"in the early evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Avery for 46 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2020/08/11?\", \"46 minutes\"], [\"who did I talk to on 2020/08/11?\", \"Avery\"], [\"Did I talk to Avery on 2020/08/11?\", \"yes\"], [\"Did I talk to anyone on 2020/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16073\", \"logical_representation\": [\"2020/08/11\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/08/11?\", \"14 minutes\"], [\"what did I read on 2020/08/11?\", \"a book\"], [\"Did I read on 2020/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/13\": {\"dating\": {\"eid\": \"e15200\", \"logical_representation\": [\"2020/08/13\", \"Hunter\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Hunter on 2020/08/13 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/08/13\", \"Hunter\"], [\"where did I go for the date on 2020/08/13\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16078\", \"logical_representation\": [\"2020/08/13\", \"running\"], \"text_template_based\": \"I did running on 2020/08/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/13?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16079\", \"logical_representation\": [\"2020/08/13\", \"breakfast\", \"toast and cheese\", \"Nevaeh, Rylee, Piper, Olivia, Layla, Avery, Nora, Kinsley, Eva, Claire, Lydia, Piper\"], \"text_template_based\": \"I had toast and cheese for breakfast with Nevaeh, Rylee, Piper, Olivia, Layla, Avery, Nora, Kinsley, Eva, Claire, Lydia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/08/13?\", \"Nevaeh, Rylee, Piper, Olivia, Layla, Avery, Nora, Kinsley, Eva, Claire, Lydia, Piper\"], [\"what did I eat for breakfast on 2020/08/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16080\", \"logical_representation\": [\"2020/08/13\", \"Avery, Piper, Lydia\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Lydia for 25 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Lydia late in the evening on 2020/08/13?\", \"25 minutes\"], [\"who did I talk to on 2020/08/13?\", \"Avery, Piper, Lydia\"], [\"Did I talk to Avery, Piper, Lydia on 2020/08/13?\", \"yes\"], [\"Did I talk to anyone on 2020/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16081\", \"logical_representation\": [\"2020/08/13\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/08/13?\", \"18 minutes\"], [\"what did I read on 2020/08/13?\", \"a book\"], [\"Did I read on 2020/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/15\": {\"grocery\": {\"eid\": \"e15201\", \"logical_representation\": [\"2020/08/15\", \"I bought some bananas, watermelons, blueberries, raspberries, chocolate milk, mineral water, soda, conditioner, paper towel, mouthwash, toothpaste from the grocery store. I saw Willow, Avery, Jackson, Benjamin at the grocery store.\", \"bananas, watermelons, blueberries, raspberries\", \"chocolate milk, mineral water, soda\", \"conditioner, paper towel, mouthwash, toothpaste\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I bought some bananas, watermelons, blueberries, raspberries, chocolate milk, mineral water, soda, conditioner, paper towel, mouthwash, toothpaste from the grocery store. I saw Willow, Avery, Jackson, Benjamin at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/08/15?\", \"bananas, watermelons, blueberries, raspberries, chocolate milk, mineral water, soda, and conditioner, paper towel, mouthwash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2020/08/15?\", \"bananas, watermelons, blueberries, raspberries\"], [\"what drinks did I buy from the grocery store on 2020/08/15?\", \"chocolate milk, mineral water, soda\"], [\"what toiletries did I buy from the grocery store on 2020/08/15?\", \"conditioner, paper towel, mouthwash, toothpaste\"], [\"who did I see at the grocery store on 2020/08/15?\", \"Willow, Avery, Jackson, Benjamin\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16085\", \"logical_representation\": [\"2020/08/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee, Layla, Eva, Olivia, Lydia, Piper, Nora\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/08/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16086\", \"logical_representation\": [\"2020/08/15\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had sushi for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/08/15?\", \"Emily\"], [\"what did I eat for lunch on 2020/08/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16087\", \"logical_representation\": [\"2020/08/15\", \"dinner\", \"fish and chips\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Kayden, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/08/15?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for dinner on 2020/08/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16088\", \"logical_representation\": [\"2020/08/15\", \"Kinsley, Lydia, Piper\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia, Piper for 47 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Piper in the early afternoon on 2020/08/15?\", \"47 minutes\"], [\"who did I talk to on 2020/08/15?\", \"Kinsley, Lydia, Piper\"], [\"Did I talk to Kinsley, Lydia, Piper on 2020/08/15?\", \"yes\"], [\"Did I talk to anyone on 2020/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16089\", \"logical_representation\": [\"2020/08/15\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/08/15?\", \"46 minutes\"], [\"what did I read on 2020/08/15?\", \"a book\"], [\"Did I read on 2020/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16090\", \"logical_representation\": [\"2020/08/15\", \"news\", \"39 minutes\"], \"text_template_based\": \"I watched news for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/15?\", \"39 minutes\"], [\"what did I watch on tv on 2020/08/15?\", \"news\"], [\"Did I watch tv on 2020/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/20\": {\"grocery\": {\"eid\": \"e15202\", \"logical_representation\": [\"2020/08/20\", \"I went grocery shopping with Nevaeh, Rylee. I bought some nectarines, cherres, pears, mineral water, soda, and paper towel, facial wash, mouth wash, shampoo\", \"nectarines, cherres, pears\", \"mineral water, soda\", \"paper towel, facial wash, mouth wash, shampoo\", \"Nevaeh, Rylee\"], \"text_template_based\": \"I went grocery shopping with Nevaeh, Rylee. I bought some nectarines, cherres, pears, mineral water, soda, and paper towel, facial wash, mouth wash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/08/20?\", \"nectarines, cherres, pears, mineral water, soda, and paper towel, facial wash, mouth wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2020/08/20?\", \"nectarines, cherres, pears\"], [\"what drinks did I buy from the grocery store on 2020/08/20?\", \"mineral water, soda\"], [\"what toiletries did I buy from the grocery store on 2020/08/20?\", \"paper towel, facial wash, mouth wash, shampoo\"], [\"who was with me at the grocery store on 2020/08/20?\", \"Nevaeh, Rylee\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16104\", \"logical_representation\": [\"2020/08/20\", \"lunch\", \"steak\", \"Olivia, Lydia, Rylee, Nora\"], \"text_template_based\": \"I had steak for lunch with Olivia, Lydia, Rylee, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/08/20?\", \"Olivia, Lydia, Rylee, Nora\"], [\"what did I eat for lunch on 2020/08/20\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16105\", \"logical_representation\": [\"2020/08/20\", \"dinner\", \"tacos\", \"Willow, Benjamin\"], \"text_template_based\": \"I had dinner with Willow, Benjamin. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/08/20?\", \"Willow, Benjamin\"], [\"what did I eat for dinner on 2020/08/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16106\", \"logical_representation\": [\"2020/08/20\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I watched a documentary for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/20?\", \"7 minutes\"], [\"what did I watch on tv on 2020/08/20?\", \"a documentary\"], [\"Did I watch tv on 2020/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/24\": {\"grocery\": {\"eid\": \"e15203\", \"logical_representation\": [\"2020/08/24\", \"I bought some peaches, apricots, bananas, tea, mouth wash, shaving cream from the grocery store. I saw Emily at the grocery store.\", \"peaches, apricots, bananas\", \"tea\", \"mouth wash, shaving cream\", \"Emily\"], \"text_template_based\": \"I bought some peaches, apricots, bananas, tea, mouth wash, shaving cream from the grocery store. I saw Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/08/24?\", \"peaches, apricots, bananas, tea, and mouth wash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2020/08/24?\", \"peaches, apricots, bananas\"], [\"what drinks did I buy from the grocery store on 2020/08/24?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2020/08/24?\", \"mouth wash, shaving cream\"], [\"who did I see at the grocery store on 2020/08/24?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16119\", \"logical_representation\": [\"2020/08/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/08/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16120\", \"logical_representation\": [\"2020/08/24\", \"a movie\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/24?\", \"16 minutes\"], [\"what did I watch on tv on 2020/08/24?\", \"a movie\"], [\"Did I watch tv on 2020/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/31\": {\"cook\": {\"eid\": \"e15204\", \"logical_representation\": [\"2020/08/31\", \"I really enjoyed cooking rigatoni with sausage & peas, turkey shepherd\\u2019s pie, lo mein on 2020/08/31 with Benjamin, Jackson, Willow at my place\", \"cook\", \"rigatoni with sausage & peas, turkey shepherd\\u2019s pie, lo mein\", \"Benjamin, Jackson, Willow\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking rigatoni with sausage & peas, turkey shepherd\\u2019s pie, lo mein on 2020/08/31 with Benjamin, Jackson, Willow at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  rigatoni with sausage & peas, turkey shepherd\\u2019s pie, lo mein with Benjamin, Jackson, Willow?\", \"2020/08/31\"], [\"what did I  on 2020/08/31?\", \"rigatoni with sausage & peas, turkey shepherd\\u2019s pie, lo mein\"], [\"who was I with when I  rigatoni with sausage & peas, turkey shepherd\\u2019s pie, lo mein on 2020/08/31?\", \"Benjamin, Jackson, Willow\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e15207\", \"logical_representation\": [\"2020/08/31\", \"I went grocery shopping. I bought some apples, blueberries, pineapple juice, sports drinks, guava juice, and paper towel, toilet paper\", \"apples, blueberries\", \"pineapple juice, sports drinks, guava juice\", \"paper towel, toilet paper\", \"Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, blueberries, pineapple juice, sports drinks, guava juice, and paper towel, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/08/31?\", \"apples, blueberries, pineapple juice, sports drinks, guava juice, and paper towel, toilet paper\"], [\"what fruits did I buy from the grocery store on 2020/08/31?\", \"apples, blueberries\"], [\"what drinks did I buy from the grocery store on 2020/08/31?\", \"pineapple juice, sports drinks, guava juice\"], [\"what toiletries did I buy from the grocery store on 2020/08/31?\", \"paper towel, toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16141\", \"logical_representation\": [\"2020/08/31\", \"running\"], \"text_template_based\": \"I did running on 2020/08/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/31?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16142\", \"logical_representation\": [\"2020/08/31\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/08/31\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16143\", \"logical_representation\": [\"2020/08/31\", \"lunch\", \"tacos\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch with Carter, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/08/31?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2020/08/31\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16144\", \"logical_representation\": [\"2020/08/31\", \"Layla, Eva, Nevaeh, Lydia\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Layla, Eva, Nevaeh, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Nevaeh, Lydia during lunch hours on 2020/08/31?\", \"34 minutes\"], [\"who did I talk to on 2020/08/31?\", \"Layla, Eva, Nevaeh, Lydia\"], [\"Did I talk to Layla, Eva, Nevaeh, Lydia on 2020/08/31?\", \"yes\"], [\"Did I talk to anyone on 2020/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16145\", \"logical_representation\": [\"2020/08/31\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I watched a documentary for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/31?\", \"22 minutes\"], [\"what did I watch on tv on 2020/08/31?\", \"a documentary\"], [\"Did I watch tv on 2020/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/26\": {\"bake\": {\"eid\": \"e15205\", \"logical_representation\": [\"2020/08/26\", \"I entertained Emily, Carter, Andrew, Kayden at my place on 2020/08/26 and bake cream-filled bundt cake\", \"bake\", \"cream-filled bundt cake\", \"Emily, Carter, Andrew, Kayden\", \"my place\"], \"text_template_based\": \"I entertained Emily, Carter, Andrew, Kayden at my place on 2020/08/26 and bake cream-filled bundt cake\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake cream-filled bundt cake with Emily, Carter, Andrew, Kayden?\", \"2020/08/26\"], [\"what did I bake on 2020/08/26?\", \"cream-filled bundt cake\"], [\"who was I with when I  cream-filled bundt cake on 2020/08/26?\", \"Emily, Carter, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16125\", \"logical_representation\": [\"2020/08/26\", \"biking\"], \"text_template_based\": \"I did biking on 2020/08/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16126\", \"logical_representation\": [\"2020/08/26\", \"breakfast\", \"pancakes\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Carter, Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/08/26?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for breakfast on 2020/08/26\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16127\", \"logical_representation\": [\"2020/08/26\", \"a movie\", \"51 minutes\"], \"text_template_based\": \"I watched a movie for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/26?\", \"51 minutes\"], [\"what did I watch on tv on 2020/08/26?\", \"a movie\"], [\"Did I watch tv on 2020/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/27\": {\"hobbies\": {\"eid\": \"e15206\", \"logical_representation\": [\"2020/08/27\", \"I spent some time meditation on 2020/08/27.\", \"meditation\", \"Andrew\"], \"text_template_based\": \"I spent some time meditation on 2020/08/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2020/08/27\"], [\"On 2020/08/27, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16128\", \"logical_representation\": [\"2020/08/27\", \"breakfast\", \"oatmeal\", \"Andrew\"], \"text_template_based\": \"I had oatmeal for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/08/27?\", \"Andrew\"], [\"what did I eat for breakfast on 2020/08/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2020/09/05\": {\"hobbies\": {\"eid\": \"e15208\", \"logical_representation\": [\"2020/09/05\", \"I spent some time gardening on 2020/09/05.\", \"gardening\", \"Andrew\"], \"text_template_based\": \"I spent some time gardening on 2020/09/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2020/09/05\"], [\"On 2020/09/05, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e15209\", \"logical_representation\": [\"2020/09/05\", \"I went grocery shopping. I bought some peaches, guava juice, orange juice, mango juice, and shampoo, shaving cream, toothpaste\", \"peaches\", \"guava juice, orange juice, mango juice\", \"shampoo, shaving cream, toothpaste\", \"Jackson\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, guava juice, orange juice, mango juice, and shampoo, shaving cream, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/09/05?\", \"peaches, guava juice, orange juice, mango juice, and shampoo, shaving cream, toothpaste\"], [\"what fruits did I buy from the grocery store on 2020/09/05?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2020/09/05?\", \"guava juice, orange juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2020/09/05?\", \"shampoo, shaving cream, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16165\", \"logical_representation\": [\"2020/09/05\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/09/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/05?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16166\", \"logical_representation\": [\"2020/09/05\", \"breakfast\", \"pancakes\", \"Piper, Olivia, Lydia, Hazel, Eva, Nora, Claire, Layla, Avery, Rylee, Kinsley, Piper, Nevaeh\"], \"text_template_based\": \"I had breakfast with Piper, Olivia, Lydia, Hazel, Eva, Nora, Claire, Layla, Avery, Rylee, Kinsley, Piper, Nevaeh. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/09/05?\", \"Piper, Olivia, Lydia, Hazel, Eva, Nora, Claire, Layla, Avery, Rylee, Kinsley, Piper, Nevaeh\"], [\"what did I eat for breakfast on 2020/09/05\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16167\", \"logical_representation\": [\"2020/09/05\", \"lunch\", \"sushi\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16168\", \"logical_representation\": [\"2020/09/05\", \"Hazel, Avery, Claire\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Hazel, Avery, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Claire during lunch hours on 2020/09/05?\", \"46 minutes\"], [\"who did I talk to on 2020/09/05?\", \"Hazel, Avery, Claire\"], [\"Did I talk to Hazel, Avery, Claire on 2020/09/05?\", \"yes\"], [\"Did I talk to anyone on 2020/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/14\": {\"dating\": {\"eid\": \"e15210\", \"logical_representation\": [\"2020/09/14\", \"Savannah\", \"a boba shop\"], \"text_template_based\": \"On 2020/09/14, I took Savannah on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/09/14\", \"Savannah\"], [\"where did I go for the date on 2020/09/14\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16201\", \"logical_representation\": [\"2020/09/14\", \"dinner\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had chinese food for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/09/14?\", \"Kayden\"], [\"what did I eat for dinner on 2020/09/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16202\", \"logical_representation\": [\"2020/09/14\", \"Olivia\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Olivia for 24 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2020/09/14?\", \"24 minutes\"], [\"who did I talk to on 2020/09/14?\", \"Olivia\"], [\"Did I talk to Olivia on 2020/09/14?\", \"yes\"], [\"Did I talk to anyone on 2020/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/16\": {\"hobbies\": {\"eid\": \"e15211\", \"logical_representation\": [\"2020/09/16\", \"I spent time learning a language on 2020/09/16 with Andrew, Kayden, Emily.\", \"learning a language\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I spent time learning a language on 2020/09/16 with Andrew, Kayden, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Andrew, Kayden, Emily?\", \"2020/09/16\"], [\"On 2020/09/16, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2020/09/16?\", \"Andrew, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16207\", \"logical_representation\": [\"2020/09/16\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I had breakfast. 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I saw Emily, Kayden at the grocery store.\", \"raspberries\", \"milk\", \"paper towel, shampoo\", \"Emily, Kayden\"], \"text_template_based\": \"I bought some raspberries, milk, paper towel, shampoo from the grocery store. I saw Emily, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/09/29?\", \"raspberries, milk, and paper towel, shampoo\"], [\"what fruits did I buy from the grocery store on 2020/09/29?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2020/09/29?\", \"milk\"], [\"what toiletries did I buy from the grocery store on 2020/09/29?\", \"paper towel, shampoo\"], [\"who did I see at the grocery store on 2020/09/29?\", \"Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16253\", \"logical_representation\": [\"2020/09/29\", \"lunch\", \"pasta\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16254\", \"logical_representation\": [\"2020/09/29\", \"Avery, Nevaeh, Olivia\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Avery, Nevaeh, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Olivia during lunch hours on 2020/09/29?\", \"38 minutes\"], [\"who did I talk to on 2020/09/29?\", \"Avery, Nevaeh, Olivia\"], [\"Did I talk to Avery, Nevaeh, Olivia on 2020/09/29?\", \"yes\"], [\"Did I talk to anyone on 2020/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16255\", \"logical_representation\": [\"2020/09/29\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I watched a tv series for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/29?\", \"55 minutes\"], [\"what did I watch on tv on 2020/09/29?\", \"a tv series\"], [\"Did I watch tv on 2020/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/04\": {\"dating\": {\"eid\": \"e15215\", \"logical_representation\": [\"2020/10/04\", \"Natalia\", \"a park\"], \"text_template_based\": \"On 2020/10/04, I took Natalia on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/10/04\", \"Natalia\"], [\"where did I go for the date on 2020/10/04\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16268\", \"logical_representation\": [\"2020/10/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/10/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16269\", \"logical_representation\": [\"2020/10/04\", \"breakfast\", \"cereals\", \"Avery, Jackson\"], \"text_template_based\": \"I had cereals for breakfast with Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/10/04?\", \"Avery, Jackson\"], [\"what did I eat for breakfast on 2020/10/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16270\", \"logical_representation\": [\"2020/10/04\", \"lunch\", \"a burger\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/10/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16271\", \"logical_representation\": [\"2020/10/04\", \"Nora, Piper, Eva, Claire\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Eva, Claire for 34 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Eva, Claire late in the evening on 2020/10/04?\", \"34 minutes\"], [\"who did I talk to on 2020/10/04?\", \"Nora, Piper, Eva, Claire\"], [\"Did I talk to Nora, Piper, Eva, Claire on 2020/10/04?\", \"yes\"], [\"Did I talk to anyone on 2020/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16272\", \"logical_representation\": [\"2020/10/04\", \"news\", \"8 minutes\"], \"text_template_based\": \"I watched news for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/04?\", \"8 minutes\"], [\"what did I watch on tv on 2020/10/04?\", \"news\"], [\"Did I watch tv on 2020/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/02\": {\"grocery\": {\"eid\": \"e15216\", \"logical_representation\": [\"2020/10/02\", \"I bought some clementines, pineapples, mandarins, apples, chocolate milk, toothbrush from the grocery store. I saw Carter, Emily at the grocery store.\", \"clementines, pineapples, mandarins, apples\", \"chocolate milk\", \"toothbrush\", \"Carter, Emily\"], \"text_template_based\": \"I bought some clementines, pineapples, mandarins, apples, chocolate milk, toothbrush from the grocery store. I saw Carter, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/10/02?\", \"clementines, pineapples, mandarins, apples, chocolate milk, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2020/10/02?\", \"clementines, pineapples, mandarins, apples\"], [\"what drinks did I buy from the grocery store on 2020/10/02?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2020/10/02?\", \"toothbrush\"], [\"who did I see at the grocery store on 2020/10/02?\", \"Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16262\", \"logical_representation\": [\"2020/10/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/10/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16263\", \"logical_representation\": [\"2020/10/02\", \"dinner\", \"tacos\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had tacos for dinner with Avery, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/10/02?\", \"Avery, Jackson, Benjamin\"], [\"what did I eat for dinner on 2020/10/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16264\", \"logical_representation\": [\"2020/10/02\", \"Avery, Eva, Rylee, Olivia\", \"in the early afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Avery, Eva, Rylee, Olivia for 43 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Rylee, Olivia in the early afternoon on 2020/10/02?\", \"43 minutes\"], [\"who did I talk to on 2020/10/02?\", \"Avery, Eva, Rylee, Olivia\"], [\"Did I talk to Avery, Eva, Rylee, Olivia on 2020/10/02?\", \"yes\"], [\"Did I talk to anyone on 2020/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16265\", \"logical_representation\": [\"2020/10/02\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/10/02?\", \"24 minutes\"], [\"what did I read on 2020/10/02?\", \"social media\"], [\"Did I read on 2020/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16266\", \"logical_representation\": [\"2020/10/02\", \"news\", \"33 minutes\"], \"text_template_based\": \"I watched news for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/02?\", \"33 minutes\"], [\"what did I watch on tv on 2020/10/02?\", \"news\"], [\"Did I watch tv on 2020/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/05\": {\"grocery\": {\"eid\": \"e15217\", \"logical_representation\": [\"2020/10/05\", \"I bought some guava, oranges, clementines, chocolate milk, guava juice, sports drinks, toilet paper, toothbrush, toothpaste online.\", \"guava, oranges, clementines\", \"chocolate milk, guava juice, sports drinks\", \"toilet paper, toothbrush, toothpaste\", \"Layla, Piper, Kinsley, Hazel, Nevaeh, Nora, Lydia\"], \"text_template_based\": \"I bought some guava, oranges, clementines, chocolate milk, guava juice, sports drinks, toilet paper, toothbrush, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/10/05?\", \"guava, oranges, clementines, chocolate milk, guava juice, sports drinks, and toilet paper, toothbrush, toothpaste\"], [\"what fruits did I buy online on 2020/10/05?\", \"guava, oranges, clementines\"], [\"what drinks did I buy online on 2020/10/05?\", \"chocolate milk, guava juice, sports drinks\"], [\"what toiletries did I buy online on 2020/10/05?\", \"toilet paper, toothbrush, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16273\", \"logical_representation\": [\"2020/10/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/10/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16274\", \"logical_representation\": [\"2020/10/05\", \"lunch\", \"a burger\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/10/05?\", \"Carter\"], [\"what did I eat for lunch on 2020/10/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16275\", \"logical_representation\": [\"2020/10/05\", \"dinner\", \"a burger\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Andrew, Kayden. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/10/05?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2020/10/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16276\", \"logical_representation\": [\"2020/10/05\", \"Nevaeh, Kinsley, Hazel, Rylee\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Kinsley, Hazel, Rylee for 24 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Hazel, Rylee in the early afternoon on 2020/10/05?\", \"24 minutes\"], [\"who did I talk to on 2020/10/05?\", \"Nevaeh, Kinsley, Hazel, Rylee\"], [\"Did I talk to Nevaeh, Kinsley, Hazel, Rylee on 2020/10/05?\", \"yes\"], [\"Did I talk to anyone on 2020/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16277\", \"logical_representation\": [\"2020/10/05\", \"Piper, Nevaeh, Nora\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Piper, Nevaeh, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Nora in the early afternoon on 2020/10/05?\", \"54 minutes\"], [\"who did I talk to on 2020/10/05?\", \"Piper, Nevaeh, Nora\"], [\"Did I talk to Piper, Nevaeh, Nora on 2020/10/05?\", \"yes\"], [\"Did I talk to anyone on 2020/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/09\": {\"cook\": {\"eid\": \"e15218\", \"logical_representation\": [\"2020/10/09\", \"I entertained Eva, Rylee, Lydia at my place on 2020/10/09 and cook chicken and gravy, indian red lentil\", \"cook\", \"chicken and gravy, indian red lentil\", \"Eva, Rylee, Lydia\", \"my place\"], \"text_template_based\": \"I entertained Eva, Rylee, Lydia at my place on 2020/10/09 and cook chicken and gravy, indian red lentil\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook chicken and gravy, indian red lentil with Eva, Rylee, Lydia?\", \"2020/10/09\"], [\"what did I cook on 2020/10/09?\", \"chicken and gravy, indian red lentil\"], [\"who was I with when I  chicken and gravy, indian red lentil on 2020/10/09?\", \"Eva, Rylee, Lydia\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16285\", \"logical_representation\": [\"2020/10/09\", \"lunch\", \"sushi\", \"Olivia, Lydia, Claire, Layla, Avery, Rylee, Piper\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/10/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16286\", \"logical_representation\": [\"2020/10/09\", \"Nora\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I talked to Nora for 11 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2020/10/09?\", \"11 minutes\"], [\"who did I talk to on 2020/10/09?\", \"Nora\"], [\"Did I talk to Nora on 2020/10/09?\", \"yes\"], [\"Did I talk to anyone on 2020/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16287\", \"logical_representation\": [\"2020/10/09\", \"Hazel, Claire, Avery\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Hazel, Claire, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Avery in the early afternoon on 2020/10/09?\", \"13 minutes\"], [\"who did I talk to on 2020/10/09?\", \"Hazel, Claire, Avery\"], [\"Did I talk to Hazel, Claire, Avery on 2020/10/09?\", \"yes\"], [\"Did I talk to anyone on 2020/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16288\", \"logical_representation\": [\"2020/10/09\", \"a documentary\", \"6 minutes\"], \"text_template_based\": \"I watched a documentary for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/09?\", \"6 minutes\"], [\"what did I watch on tv on 2020/10/09?\", \"a documentary\"], [\"Did I watch tv on 2020/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/13\": {\"grocery\": {\"eid\": \"e15219\", \"logical_representation\": [\"2020/10/13\", \"I went grocery shopping with Emily. I bought some pears, guava juice, and toothpaste, conditioner, body lotion, shaving cream\", \"pears\", \"guava juice\", \"toothpaste, conditioner, body lotion, shaving cream\", \"Emily\"], \"text_template_based\": \"I went grocery shopping with Emily. I bought some pears, guava juice, and toothpaste, conditioner, body lotion, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/10/13?\", \"pears, guava juice, and toothpaste, conditioner, body lotion, shaving cream\"], [\"what fruits did I buy from the grocery store on 2020/10/13?\", \"pears\"], [\"what drinks did I buy from the grocery store on 2020/10/13?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2020/10/13?\", \"toothpaste, conditioner, body lotion, shaving cream\"], [\"who was with me at the grocery store on 2020/10/13?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16299\", \"logical_representation\": [\"2020/10/13\", \"lunch\", \"indian food\", \"Carter\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/10/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16300\", \"logical_representation\": [\"2020/10/13\", \"Piper, Hazel\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel for 42 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel late in the evening on 2020/10/13?\", \"42 minutes\"], [\"who did I talk to on 2020/10/13?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2020/10/13?\", \"yes\"], [\"Did I talk to anyone on 2020/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16301\", \"logical_representation\": [\"2020/10/13\", \"Nevaeh, Claire, Piper\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Nevaeh, Claire, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire, Piper in the late afternoon on 2020/10/13?\", \"40 minutes\"], [\"who did I talk to on 2020/10/13?\", \"Nevaeh, Claire, Piper\"], [\"Did I talk to Nevaeh, Claire, Piper on 2020/10/13?\", \"yes\"], [\"Did I talk to anyone on 2020/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16302\", \"logical_representation\": [\"2020/10/13\", \"a book\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/10/13?\", \"40 minutes\"], [\"what did I read on 2020/10/13?\", \"a book\"], [\"Did I read on 2020/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/19\": {\"dating\": {\"eid\": \"e15220\", \"logical_representation\": [\"2020/10/19\", \"Alexander\", \"a coffee Shop\"], \"text_template_based\": \"On 2020/10/19, I took Alexander on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/10/19\", \"Alexander\"], [\"where did I go for the date on 2020/10/19\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16317\", \"logical_representation\": [\"2020/10/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Carter, Andrew. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/10/19?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2020/10/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16318\", \"logical_representation\": [\"2020/10/19\", \"Rylee, Piper, Claire, Piper\", \"late in the evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper, Claire, Piper for 51 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Claire, Piper late in the evening on 2020/10/19?\", \"51 minutes\"], [\"who did I talk to on 2020/10/19?\", \"Rylee, Piper, Claire, Piper\"], [\"Did I talk to Rylee, Piper, Claire, Piper on 2020/10/19?\", \"yes\"], [\"Did I talk to anyone on 2020/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16319\", \"logical_representation\": [\"2020/10/19\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/10/19?\", \"22 minutes\"], [\"what did I read on 2020/10/19?\", \"news\"], [\"Did I read on 2020/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16320\", \"logical_representation\": [\"2020/10/19\", \"news\", \"18 minutes\"], \"text_template_based\": \"I watched news for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/19?\", \"18 minutes\"], [\"what did I watch on tv on 2020/10/19?\", \"news\"], [\"Did I watch tv on 2020/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/16\": {\"grocery\": {\"eid\": \"e15221\", \"logical_representation\": [\"2020/10/16\", \"I went grocery shopping. I bought some blackberries, clementines, mangos, tea, pineapple juice, chocolate milk, guava juice, and toothbrush, toothpaste, shaving cream, mouth wash\", \"blackberries, clementines, mangos\", \"tea, pineapple juice, chocolate milk, guava juice\", \"toothbrush, toothpaste, shaving cream, mouth wash\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I went grocery shopping. I bought some blackberries, clementines, mangos, tea, pineapple juice, chocolate milk, guava juice, and toothbrush, toothpaste, shaving cream, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/10/16?\", \"blackberries, clementines, mangos, tea, pineapple juice, chocolate milk, guava juice, and toothbrush, toothpaste, shaving cream, mouth wash\"], [\"what fruits did I buy from the grocery store on 2020/10/16?\", \"blackberries, clementines, mangos\"], [\"what drinks did I buy from the grocery store on 2020/10/16?\", \"tea, pineapple juice, chocolate milk, guava juice\"], [\"what toiletries did I buy from the grocery store on 2020/10/16?\", \"toothbrush, toothpaste, shaving cream, mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16309\", \"logical_representation\": [\"2020/10/16\", \"breakfast\", \"peanut-butter-jam\", \"Olivia, Nora, Piper, Piper, Nevaeh, Eva, Hazel\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/10/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16310\", \"logical_representation\": [\"2020/10/16\", \"Kinsley, Nora, Nevaeh\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora, Nevaeh for 29 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Nevaeh in the late afternoon on 2020/10/16?\", \"29 minutes\"], [\"who did I talk to on 2020/10/16?\", \"Kinsley, Nora, Nevaeh\"], [\"Did I talk to Kinsley, Nora, Nevaeh on 2020/10/16?\", \"yes\"], [\"Did I talk to anyone on 2020/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16311\", \"logical_representation\": [\"2020/10/16\", \"Layla, Hazel, Rylee, Claire\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Layla, Hazel, Rylee, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Rylee, Claire in the early afternoon on 2020/10/16?\", \"21 minutes\"], [\"who did I talk to on 2020/10/16?\", \"Layla, Hazel, Rylee, Claire\"], [\"Did I talk to Layla, Hazel, Rylee, Claire on 2020/10/16?\", \"yes\"], [\"Did I talk to anyone on 2020/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/20\": {\"grocery\": {\"eid\": \"e15222\", \"logical_representation\": [\"2020/10/20\", \"I bought some mandarins, nectarines, peaches, sports drinks, chocolate milk, orange juice, conditioner online.\", \"mandarins, nectarines, peaches\", \"sports drinks, chocolate milk, orange juice\", \"conditioner\", \"Kinsley, Piper, Olivia\"], \"text_template_based\": \"I bought some mandarins, nectarines, peaches, sports drinks, chocolate milk, orange juice, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/10/20?\", \"mandarins, nectarines, peaches, sports drinks, chocolate milk, orange juice, and conditioner\"], [\"what fruits did I buy online on 2020/10/20?\", \"mandarins, nectarines, peaches\"], [\"what drinks did I buy online on 2020/10/20?\", \"sports drinks, chocolate milk, orange juice\"], [\"what toiletries did I buy online on 2020/10/20?\", \"conditioner\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16321\", \"logical_representation\": [\"2020/10/20\", \"Eva, Claire\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Eva, Claire for 20 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire in the early afternoon on 2020/10/20?\", \"20 minutes\"], [\"who did I talk to on 2020/10/20?\", \"Eva, Claire\"], [\"Did I talk to Eva, Claire on 2020/10/20?\", \"yes\"], [\"Did I talk to anyone on 2020/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16322\", \"logical_representation\": [\"2020/10/20\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/10/20?\", \"22 minutes\"], [\"what did I read on 2020/10/20?\", \"a book\"], [\"Did I read on 2020/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16323\", \"logical_representation\": [\"2020/10/20\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/20?\", \"40 minutes\"], [\"what did I watch on tv on 2020/10/20?\", \"a tv series\"], [\"Did I watch tv on 2020/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/29\": {\"dating\": {\"eid\": \"e15223\", \"logical_representation\": [\"2020/10/29\", \"Hunter\", \"a park\"], \"text_template_based\": \"On 2020/10/29, I took Hunter on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/10/29\", \"Hunter\"], [\"where did I go for the date on 2020/10/29\", \"a park\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16354\", \"logical_representation\": [\"2020/10/29\", \"Rylee, Eva\", \"in the morning\", \"34 minutes\"], \"text_template_based\": \"I talked to Rylee, Eva for 34 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva in the morning on 2020/10/29?\", \"34 minutes\"], [\"who did I talk to on 2020/10/29?\", \"Rylee, Eva\"], [\"Did I talk to Rylee, Eva on 2020/10/29?\", \"yes\"], [\"Did I talk to anyone on 2020/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16355\", \"logical_representation\": [\"2020/10/29\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/29?\", \"36 minutes\"], [\"what did I watch on tv on 2020/10/29?\", \"a movie\"], [\"Did I watch tv on 2020/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/02\": {\"dating\": {\"eid\": \"e15224\", \"logical_representation\": [\"2020/11/02\", \"Evelyn\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Evelyn on 2020/11/02 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/11/02\", \"Evelyn\"], [\"where did I go for the date on 2020/11/02\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16370\", \"logical_representation\": [\"2020/11/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/11/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16371\", \"logical_representation\": [\"2020/11/02\", \"breakfast\", \"oatmeal\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/11/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16372\", \"logical_representation\": [\"2020/11/02\", \"lunch\", \"a burger\", \"Emily, Kayden\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/11/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16373\", \"logical_representation\": [\"2020/11/02\", \"Kinsley, Lydia, Piper\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia, Piper for 32 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Piper in the early afternoon on 2020/11/02?\", \"32 minutes\"], [\"who did I talk to on 2020/11/02?\", \"Kinsley, Lydia, Piper\"], [\"Did I talk to Kinsley, Lydia, Piper on 2020/11/02?\", \"yes\"], [\"Did I talk to anyone on 2020/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16374\", \"logical_representation\": [\"2020/11/02\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/11/02?\", \"45 minutes\"], [\"what did I read on 2020/11/02?\", \"social media\"], [\"Did I read on 2020/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16375\", \"logical_representation\": [\"2020/11/02\", \"a movie\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a 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I bought some nectarines, strawberries, oranges, apricots, soda, guava juice, sports drinks, pineapple juice, and toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/11/01?\", \"nectarines, strawberries, oranges, apricots, soda, guava juice, sports drinks, pineapple juice, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2020/11/01?\", \"nectarines, strawberries, oranges, apricots\"], [\"what drinks did I buy from the grocery store on 2020/11/01?\", \"soda, guava juice, sports drinks, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2020/11/01?\", \"toilet paper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16367\", \"logical_representation\": [\"2020/11/01\", \"breakfast\", \"toast and cheese\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had breakfast with Avery, Jackson, Benjamin, Willow. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/11/01?\", \"Avery, Jackson, Benjamin, Willow\"], [\"what did I eat for breakfast on 2020/11/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16368\", \"logical_representation\": [\"2020/11/01\", \"lunch\", \"tacos\", \"Benjamin, Avery\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/11/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16369\", \"logical_representation\": [\"2020/11/01\", \"Avery\", \"in the morning\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2020/11/01?\", \"53 minutes\"], [\"who did I talk to on 2020/11/01?\", \"Avery\"], [\"Did I 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\"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Jackson, Avery?\", \"2020/11/07\"], [\"On 2020/11/07, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2020/11/07?\", \"Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16390\", \"logical_representation\": [\"2020/11/07\", \"lunch\", \"sandwich\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had sandwich for lunch with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/11/07?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2020/11/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16391\", \"logical_representation\": [\"2020/11/07\", \"Lydia, Olivia, Layla, Piper\", \"in the early evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Lydia, Olivia, Layla, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Layla, Piper in the early evening on 2020/11/07?\", \"44 minutes\"], [\"who did I talk to on 2020/11/07?\", \"Lydia, Olivia, Layla, Piper\"], [\"Did I talk to Lydia, Olivia, Layla, Piper on 2020/11/07?\", \"yes\"], [\"Did I talk to anyone on 2020/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16392\", \"logical_representation\": [\"2020/11/07\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/11/07?\", \"41 minutes\"], [\"what did I read on 2020/11/07?\", \"a book\"], [\"Did I read on 2020/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/09\": {\"grocery\": {\"eid\": \"e15228\", \"logical_representation\": [\"2020/11/09\", \"I bought some nectarines, watermelons, guava juice, orange juice, paper towel, conditioner, mouth wash online.\", \"nectarines, watermelons\", \"guava juice, orange juice\", \"paper towel, conditioner, mouth wash\", \"Eva, Piper, Kinsley, Claire, Nevaeh, Piper, Hazel, Rylee, Lydia, Olivia, Layla, Nora\"], \"text_template_based\": \"I bought some nectarines, watermelons, guava juice, orange juice, paper towel, conditioner, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/11/09?\", \"nectarines, watermelons, guava juice, orange juice, and paper towel, conditioner, mouth wash\"], [\"what fruits did I buy online on 2020/11/09?\", \"nectarines, watermelons\"], [\"what drinks did I buy online on 2020/11/09?\", \"guava juice, orange juice\"], [\"what toiletries did I buy online on 2020/11/09?\", \"paper towel, conditioner, mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16396\", \"logical_representation\": [\"2020/11/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/11/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16397\", \"logical_representation\": [\"2020/11/09\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Nora, Layla\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/11/09\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16398\", \"logical_representation\": [\"2020/11/09\", \"lunch\", \"a burger\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/11/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16399\", \"logical_representation\": [\"2020/11/09\", \"Piper, Hazel, Eva\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Eva for 55 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Eva in the morning on 2020/11/09?\", \"55 minutes\"], [\"who did I talk to on 2020/11/09?\", \"Piper, Hazel, Eva\"], [\"Did I talk to Piper, Hazel, Eva on 2020/11/09?\", \"yes\"], [\"Did I talk to anyone on 2020/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16400\", \"logical_representation\": [\"2020/11/09\", \"Rylee\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2020/11/09?\", \"30 minutes\"], [\"who did I talk to on 2020/11/09?\", \"Rylee\"], [\"Did I talk to Rylee on 2020/11/09?\", \"yes\"], [\"Did I talk to anyone on 2020/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16401\", \"logical_representation\": [\"2020/11/09\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/11/09?\", \"36 minutes\"], [\"what did I read on 2020/11/09?\", \"news\"], [\"Did I read on 2020/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/13\": {\"dating\": {\"eid\": \"e15229\", \"logical_representation\": [\"2020/11/13\", \"Mason\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Mason on 2020/11/13 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/11/13\", \"Mason\"], [\"where did I go for the date on 2020/11/13\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16413\", \"logical_representation\": [\"2020/11/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/11/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16414\", \"logical_representation\": [\"2020/11/13\", \"lunch\", \"sushi\", \"Emily, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/11/13?\", \"Emily, Andrew\"], [\"what did I eat for lunch on 2020/11/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16415\", \"logical_representation\": [\"2020/11/13\", \"Rylee, Claire\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Rylee, Claire for 14 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire in the late afternoon on 2020/11/13?\", \"14 minutes\"], [\"who did I talk to on 2020/11/13?\", \"Rylee, Claire\"], [\"Did I talk to Rylee, Claire on 2020/11/13?\", \"yes\"], [\"Did I talk to anyone on 2020/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16416\", \"logical_representation\": [\"2020/11/13\", \"Layla, Eva, Avery\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Layla, Eva, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Avery late in the evening on 2020/11/13?\", \"36 minutes\"], [\"who did I talk to on 2020/11/13?\", \"Layla, Eva, Avery\"], [\"Did I talk to Layla, Eva, Avery on 2020/11/13?\", \"yes\"], [\"Did I talk to anyone on 2020/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16417\", \"logical_representation\": [\"2020/11/13\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I watched a movie for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/13?\", \"21 minutes\"], [\"what did I watch on tv on 2020/11/13?\", \"a movie\"], [\"Did I watch tv on 2020/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/11\": {\"grocery\": {\"eid\": \"e15230\", \"logical_representation\": [\"2020/11/11\", \"I bought some mandarins, nectarines, oranges, milk, soda, body lotion, facial wash, shampoo, shaving cream from the grocery store. I saw Carter at the grocery store.\", \"mandarins, nectarines, oranges\", \"milk, soda\", \"body lotion, facial wash, shampoo, shaving cream\", \"Carter\"], \"text_template_based\": \"I bought some mandarins, nectarines, oranges, milk, soda, body lotion, facial wash, shampoo, shaving cream from the grocery store. I saw Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/11/11?\", \"mandarins, nectarines, oranges, milk, soda, and body lotion, facial wash, shampoo, shaving cream\"], [\"what fruits did I buy from the grocery store on 2020/11/11?\", \"mandarins, nectarines, oranges\"], [\"what drinks did I buy from the grocery store on 2020/11/11?\", \"milk, soda\"], [\"what toiletries did I buy from the grocery store on 2020/11/11?\", \"body lotion, facial wash, shampoo, shaving cream\"], [\"who did I see at the grocery store on 2020/11/11?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16407\", \"logical_representation\": [\"2020/11/11\", \"breakfast\", \"oatmeal\", \"Kinsley, Hazel, Layla, Lydia, Olivia, Nora, Eva, Rylee, Piper\"], \"text_template_based\": \"I had breakfast with Kinsley, Hazel, Layla, Lydia, Olivia, Nora, Eva, Rylee, Piper. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/11/11?\", \"Kinsley, Hazel, Layla, Lydia, Olivia, Nora, Eva, Rylee, Piper\"], [\"what did I eat for breakfast on 2020/11/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16408\", \"logical_representation\": [\"2020/11/11\", \"lunch\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/11/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16409\", \"logical_representation\": [\"2020/11/11\", \"dinner\", \"sandwich\", \"Kayden, Andrew\"], \"text_template_based\": \"I had sandwich for dinner with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/11/11?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2020/11/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16410\", \"logical_representation\": [\"2020/11/11\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/11/11?\", \"7 minutes\"], [\"what did I read on 2020/11/11?\", \"social media\"], [\"Did I read on 2020/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/16\": {\"grocery\": {\"eid\": \"e15231\", \"logical_representation\": [\"2020/11/16\", \"I went grocery shopping with Andrew. I bought some strawberries, tea, milk, and facial wash\", \"strawberries\", \"tea, milk\", \"facial wash\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping with Andrew. I bought some strawberries, tea, milk, and facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/11/16?\", \"strawberries, tea, milk, and facial wash\"], [\"what fruits did I buy from the grocery store on 2020/11/16?\", \"strawberries\"], [\"what drinks did I buy from the grocery store on 2020/11/16?\", \"tea, milk\"], [\"what toiletries did I buy from the grocery store on 2020/11/16?\", \"facial wash\"], [\"who was with me at the grocery store on 2020/11/16?\", \"Andrew\"]], \"multihop_qa_pairs\": []}}, \"2020/11/22\": {\"dating\": {\"eid\": \"e15232\", \"logical_representation\": [\"2020/11/22\", \"Easton\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Easton on 2020/11/22 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/11/22\", \"Easton\"], [\"where did I go for the date on 2020/11/22\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16441\", \"logical_representation\": [\"2020/11/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/11/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16442\", \"logical_representation\": [\"2020/11/22\", \"lunch\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/11/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16443\", \"logical_representation\": [\"2020/11/22\", \"Claire\", \"in the early afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Claire for 18 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2020/11/22?\", \"18 minutes\"], [\"who did I talk to on 2020/11/22?\", \"Claire\"], [\"Did I talk to Claire on 2020/11/22?\", \"yes\"], [\"Did I talk to anyone on 2020/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16444\", \"logical_representation\": [\"2020/11/22\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/11/22?\", \"22 minutes\"], [\"what did I read on 2020/11/22?\", \"social media\"], [\"Did I read on 2020/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16445\", \"logical_representation\": [\"2020/11/22\", \"news\", \"15 minutes\"], \"text_template_based\": \"I watched news for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/22?\", \"15 minutes\"], [\"what did I watch on tv on 2020/11/22?\", \"news\"], [\"Did I watch tv on 2020/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/30\": {\"dating\": {\"eid\": \"e15233\", \"logical_representation\": [\"2020/11/30\", \"Ian\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Ian on 2020/11/30 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/11/30\", \"Ian\"], [\"where did I go for the date on 2020/11/30\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16476\", \"logical_representation\": [\"2020/11/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had breakfast with Jackson, Willow, Benjamin. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/11/30?\", \"Jackson, Willow, Benjamin\"], [\"what did I eat for breakfast on 2020/11/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16477\", \"logical_representation\": [\"2020/11/30\", \"dinner\", \"sandwich\", \"Nevaeh, Hazel, Nora, Layla, Kinsley, Avery, Piper, Eva, Lydia\"], \"text_template_based\": \"I had dinner with Nevaeh, Hazel, Nora, Layla, Kinsley, Avery, Piper, Eva, Lydia. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/11/30?\", \"Nevaeh, Hazel, Nora, Layla, Kinsley, Avery, Piper, Eva, Lydia\"], [\"what did I eat for dinner on 2020/11/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16478\", \"logical_representation\": [\"2020/11/30\", \"Piper, Olivia\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Piper, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia during lunch hours on 2020/11/30?\", \"34 minutes\"], [\"who did I talk to on 2020/11/30?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2020/11/30?\", \"yes\"], [\"Did I talk to anyone on 2020/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16479\", \"logical_representation\": [\"2020/11/30\", \"Rylee, Claire, Nevaeh, Nora\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Rylee, Claire, Nevaeh, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Nevaeh, Nora in the morning on 2020/11/30?\", \"14 minutes\"], [\"who did I talk to on 2020/11/30?\", \"Rylee, Claire, Nevaeh, Nora\"], [\"Did I talk to Rylee, Claire, Nevaeh, Nora on 2020/11/30?\", \"yes\"], [\"Did I talk to anyone on 2020/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16480\", \"logical_representation\": [\"2020/11/30\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/30?\", \"5 minutes\"], [\"what did I watch on tv on 2020/11/30?\", \"a tv series\"], [\"Did I watch tv on 2020/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/26\": {\"grocery\": {\"eid\": \"e15234\", \"logical_representation\": [\"2020/11/26\", \"I bought some blueberries, sports drinks, pineapple juice, tea, orange juice, mouthwash, body lotion online.\", \"blueberries\", \"sports drinks, pineapple juice, tea, orange juice\", \"mouthwash, body lotion\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I bought some blueberries, sports drinks, pineapple juice, tea, orange juice, mouthwash, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/11/26?\", \"blueberries, sports drinks, pineapple juice, tea, orange juice, and mouthwash, body lotion\"], [\"what fruits did I buy online on 2020/11/26?\", \"blueberries\"], [\"what drinks did I buy online on 2020/11/26?\", \"sports drinks, pineapple juice, tea, orange juice\"], [\"what toiletries did I buy online on 2020/11/26?\", \"mouthwash, body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16460\", \"logical_representation\": [\"2020/11/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/11/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16461\", \"logical_representation\": [\"2020/11/26\", \"breakfast\", \"cereals\", \"Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/11/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16462\", \"logical_representation\": [\"2020/11/26\", \"dinner\", \"fish and chips\", \"Olivia, Nora, Rylee, Kinsley, Piper, Piper, Hazel, Layla, Eva, Avery\"], \"text_template_based\": \"I had dinner with Olivia, Nora, Rylee, Kinsley, Piper, Piper, Hazel, Layla, Eva, Avery. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/11/26?\", \"Olivia, Nora, Rylee, Kinsley, Piper, Piper, Hazel, Layla, Eva, Avery\"], [\"what did I eat for dinner on 2020/11/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16463\", \"logical_representation\": [\"2020/11/26\", \"Piper, Kinsley, Layla\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Piper, Kinsley, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Layla in the late afternoon on 2020/11/26?\", \"9 minutes\"], [\"who did I talk to on 2020/11/26?\", \"Piper, Kinsley, Layla\"], [\"Did I talk to Piper, Kinsley, Layla on 2020/11/26?\", \"yes\"], [\"Did I talk to anyone on 2020/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16464\", \"logical_representation\": [\"2020/11/26\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/26?\", \"49 minutes\"], [\"what did I watch on tv on 2020/11/26?\", \"a tv series\"], [\"Did I watch tv on 2020/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/29\": {\"grocery\": {\"eid\": \"e15235\", \"logical_representation\": [\"2020/11/29\", \"I went grocery shopping. 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I bought some raspberries, blackberries, cherres, oranges, apple juice, sports drinks, and mouthwash, shampoo, facial wash, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/11/29?\", \"raspberries, blackberries, cherres, oranges, apple juice, sports drinks, and mouthwash, shampoo, facial wash, conditioner\"], [\"what fruits did I buy from the grocery store on 2020/11/29?\", \"raspberries, blackberries, cherres, oranges\"], [\"what drinks did I buy from the grocery store on 2020/11/29?\", \"apple juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2020/11/29?\", \"mouthwash, shampoo, facial wash, conditioner\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16474\", \"logical_representation\": [\"2020/11/29\", \"Nevaeh, Rylee\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee for 9 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee in the morning on 2020/11/29?\", \"9 minutes\"], [\"who did I talk to on 2020/11/29?\", \"Nevaeh, Rylee\"], [\"Did I talk to Nevaeh, Rylee on 2020/11/29?\", \"yes\"], [\"Did I talk to anyone on 2020/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16475\", \"logical_representation\": [\"2020/11/29\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/11/29?\", \"35 minutes\"], [\"what did I read on 2020/11/29?\", \"news\"], [\"Did I read on 2020/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/06\": {\"hobbies\": {\"eid\": \"e15236\", \"logical_representation\": [\"2020/12/06\", \"I really enjoyed yoga on 2020/12/06\", \"yoga\", \"Andrew\"], \"text_template_based\": \"I really enjoyed yoga on 2020/12/06\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2020/12/06\"], [\"On 2020/12/06, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16501\", \"logical_representation\": [\"2020/12/06\", \"running\"], \"text_template_based\": \"I did running on 2020/12/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/06?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16502\", \"logical_representation\": [\"2020/12/06\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I had breakfast. 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I saw Jackson, Willow, Avery, Benjamin at the grocery store.\", \"clementines, peaches, apricots\", \"chocolate milk\", \"paper towel, toothpaste\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I bought some clementines, peaches, apricots, chocolate milk, paper towel, toothpaste from the grocery store. 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I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/12/05?\", \"Jackson, Benjamin, Avery\"], [\"what did I eat for breakfast on 2020/12/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16499\", \"logical_representation\": [\"2020/12/05\", \"dinner\", \"sushi\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had sushi for dinner with Emily, Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/12/05?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for dinner on 2020/12/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16500\", \"logical_representation\": [\"2020/12/05\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/12/05?\", \"7 minutes\"], [\"what did I watch on tv on 2020/12/05?\", \"a tv series\"], [\"Did I watch tv on 2020/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/10\": {\"dating\": {\"eid\": \"e15238\", \"logical_representation\": [\"2020/12/10\", \"Logan\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Logan on 2020/12/10 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/12/10\", \"Logan\"], [\"where did I go for the date on 2020/12/10\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e15241\", \"logical_representation\": [\"2020/12/10\", \"I bought some apricots, raspberries, strawberries, apple juice, soda, mouthwash, conditioner, toilet paper online.\", \"apricots, raspberries, strawberries\", \"apple juice, soda\", \"mouthwash, conditioner, toilet paper\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I bought some apricots, raspberries, strawberries, apple juice, soda, mouthwash, conditioner, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/12/10?\", \"apricots, raspberries, strawberries, apple juice, soda, and mouthwash, conditioner, toilet paper\"], [\"what fruits did I buy online on 2020/12/10?\", \"apricots, raspberries, strawberries\"], [\"what drinks did I buy online on 2020/12/10?\", \"apple juice, soda\"], [\"what toiletries did I buy online on 2020/12/10?\", \"mouthwash, conditioner, toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16517\", \"logical_representation\": [\"2020/12/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/12/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16518\", \"logical_representation\": [\"2020/12/10\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Eva, Piper, Kinsley\"], \"text_template_based\": \"I had breakfast with Layla, Eva, Piper, Kinsley. 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I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/12/14?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2020/12/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16529\", \"logical_representation\": [\"2020/12/14\", \"Layla, Eva\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I talked to Layla, Eva for 39 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva in the morning on 2020/12/14?\", \"39 minutes\"], [\"who did I talk to on 2020/12/14?\", \"Layla, Eva\"], [\"Did I talk to Layla, Eva on 2020/12/14?\", \"yes\"], [\"Did I talk to anyone on 2020/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16530\", \"logical_representation\": [\"2020/12/14\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/12/14?\", \"38 minutes\"], [\"what did I read on 2020/12/14?\", \"a book\"], [\"Did I read on 2020/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16531\", \"logical_representation\": [\"2020/12/14\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I watched a movie for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/12/14?\", \"23 minutes\"], [\"what did I watch on tv on 2020/12/14?\", \"a movie\"], [\"Did I watch tv on 2020/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/18\": {\"dating\": {\"eid\": \"e15242\", \"logical_representation\": [\"2020/12/18\", \"Nora\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Nora on 2020/12/18 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/12/18\", \"Nora\"], [\"where did I go for the date on 2020/12/18\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16543\", \"logical_representation\": [\"2020/12/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Piper, Hazel, Lydia, Layla\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/12/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16544\", \"logical_representation\": [\"2020/12/18\", \"lunch\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/12/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16545\", \"logical_representation\": [\"2020/12/18\", \"Nora\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Nora for 42 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2020/12/18?\", \"42 minutes\"], [\"who did I talk to on 2020/12/18?\", \"Nora\"], [\"Did I talk to Nora on 2020/12/18?\", \"yes\"], [\"Did I talk to anyone on 2020/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16546\", \"logical_representation\": [\"2020/12/18\", \"Nevaeh, Hazel, Eva, Claire\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Hazel, Eva, Claire for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Eva, Claire in the morning on 2020/12/18?\", \"30 minutes\"], [\"who did I talk to on 2020/12/18?\", \"Nevaeh, Hazel, Eva, Claire\"], [\"Did I talk to Nevaeh, Hazel, Eva, Claire on 2020/12/18?\", \"yes\"], [\"Did I talk to anyone on 2020/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16547\", \"logical_representation\": [\"2020/12/18\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/12/18?\", \"50 minutes\"], [\"what did I watch on tv on 2020/12/18?\", \"news\"], [\"Did I watch tv on 2020/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/19\": {\"dating\": {\"eid\": \"e15243\", \"logical_representation\": [\"2020/12/19\", \"Gianna\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Gianna on 2020/12/19 at a restaurant\", \"text_model_based\": 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\"text_template_based\": \"I talked to Lydia, Nevaeh, Piper, Hazel for 33 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Piper, Hazel during lunch hours on 2020/12/19?\", \"33 minutes\"], [\"who did I talk to on 2020/12/19?\", \"Lydia, Nevaeh, Piper, Hazel\"], [\"Did I talk to Lydia, Nevaeh, Piper, Hazel on 2020/12/19?\", \"yes\"], [\"Did I talk to anyone on 2020/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16551\", \"logical_representation\": [\"2020/12/19\", \"Claire, Layla, Nevaeh\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Claire, Layla, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Nevaeh in the late afternoon on 2020/12/19?\", \"25 minutes\"], [\"who did I talk to on 2020/12/19?\", \"Claire, Layla, Nevaeh\"], [\"Did I talk to 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[]}}, \"2020/12/16\": {\"hobbies\": {\"eid\": \"e15244\", \"logical_representation\": [\"2020/12/16\", \"I spent time yoga on 2020/12/16 with Jackson.\", \"yoga\", \"Jackson\"], \"text_template_based\": \"I spent time yoga on 2020/12/16 with Jackson.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Jackson?\", \"2020/12/16\"], [\"On 2020/12/16, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2020/12/16?\", \"Jackson\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16535\", \"logical_representation\": [\"2020/12/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/12/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16536\", \"logical_representation\": [\"2020/12/16\", \"breakfast\", \"oatmeal\", \"Kinsley, Layla, Eva, Avery, Piper, Rylee, 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\"logical_representation\": [\"2020/01/01\", \"a documentary\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/01?\", \"11 minutes\"], [\"what did I watch on tv on 2020/01/01?\", \"a documentary\"], [\"Did I watch tv on 2020/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/02\": {\"breakfast\": {\"eid\": \"e15249\", \"logical_representation\": [\"2020/01/02\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/01/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15250\", \"logical_representation\": [\"2020/01/02\", \"Olivia, Layla, Lydia\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I talked to Olivia, Layla, Lydia for 9 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Lydia in the early afternoon on 2020/01/02?\", \"9 minutes\"], [\"who did I talk to on 2020/01/02?\", \"Olivia, Layla, Lydia\"], [\"Did I talk to Olivia, Layla, Lydia on 2020/01/02?\", \"yes\"], [\"Did I talk to anyone on 2020/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15251\", \"logical_representation\": [\"2020/01/02\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/01/02?\", \"28 minutes\"], [\"what did I read on 2020/01/02?\", \"news\"], [\"Did I read on 2020/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15252\", \"logical_representation\": [\"2020/01/02\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/02?\", \"23 minutes\"], [\"what did I watch on tv on 2020/01/02?\", \"a tv series\"], [\"Did I watch tv on 2020/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/05\": {\"exercise\": {\"eid\": \"e15260\", \"logical_representation\": [\"2020/01/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/01/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15261\", \"logical_representation\": [\"2020/01/05\", \"lunch\", \"a burger\", \"Layla, Avery, Olivia, Nevaeh, Piper, Rylee, Lydia, Piper\"], \"text_template_based\": \"I had lunch with Layla, Avery, Olivia, Nevaeh, Piper, Rylee, Lydia, Piper. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/01/05?\", \"Layla, Avery, Olivia, Nevaeh, Piper, Rylee, Lydia, Piper\"], [\"what did I eat for lunch on 2020/01/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15262\", \"logical_representation\": [\"2020/01/05\", \"Nora, Nevaeh, Hazel, Layla\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Nora, Nevaeh, Hazel, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Hazel, Layla in the late afternoon on 2020/01/05?\", \"40 minutes\"], [\"who did I talk to on 2020/01/05?\", \"Nora, Nevaeh, Hazel, Layla\"], [\"Did I talk to Nora, Nevaeh, Hazel, Layla on 2020/01/05?\", \"yes\"], [\"Did I talk to anyone on 2020/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/06\": {\"breakfast\": {\"eid\": \"e15263\", \"logical_representation\": [\"2020/01/06\", \"breakfast\", \"pancakes\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/01/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15264\", \"logical_representation\": [\"2020/01/06\", \"lunch\", \"pasta\", \"Avery, Kinsley, Hazel, Olivia, Layla, Nevaeh, Piper, Claire, Eva, Lydia, Piper\"], \"text_template_based\": \"I had pasta for lunch with Avery, Kinsley, Hazel, Olivia, Layla, Nevaeh, Piper, Claire, Eva, Lydia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/01/06?\", \"Avery, Kinsley, Hazel, Olivia, Layla, Nevaeh, Piper, Claire, Eva, Lydia, Piper\"], [\"what did I eat for lunch on 2020/01/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15265\", \"logical_representation\": [\"2020/01/06\", \"Kinsley, Rylee, Piper, Eva\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Kinsley, Rylee, Piper, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Piper, Eva late in the evening on 2020/01/06?\", \"41 minutes\"], [\"who did I talk to on 2020/01/06?\", \"Kinsley, Rylee, Piper, Eva\"], [\"Did I talk to Kinsley, Rylee, Piper, Eva on 2020/01/06?\", \"yes\"], [\"Did I talk to anyone on 2020/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15266\", \"logical_representation\": [\"2020/01/06\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/01/06?\", \"50 minutes\"], [\"what did I read on 2020/01/06?\", \"social media\"], [\"Did I read on 2020/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/08\": {\"lunch\": {\"eid\": \"e15271\", \"logical_representation\": [\"2020/01/08\", \"lunch\", \"indian food\", \"Avery, Eva, Layla, Kinsley, Piper\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15272\", \"logical_representation\": [\"2020/01/08\", \"Kinsley, Lydia\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia for 48 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia in the morning on 2020/01/08?\", \"48 minutes\"], [\"who did I talk to on 2020/01/08?\", \"Kinsley, Lydia\"], [\"Did I talk to Kinsley, Lydia on 2020/01/08?\", \"yes\"], [\"Did I talk to anyone on 2020/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15273\", \"logical_representation\": [\"2020/01/08\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/01/08?\", \"44 minutes\"], [\"what did I read on 2020/01/08?\", \"a book\"], [\"Did I read on 2020/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15274\", \"logical_representation\": [\"2020/01/08\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/08?\", \"10 minutes\"], [\"what did I watch on tv on 2020/01/08?\", \"news\"], [\"Did I watch tv on 2020/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/09\": {\"exercise\": {\"eid\": \"e15275\", \"logical_representation\": [\"2020/01/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/01/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15276\", \"logical_representation\": [\"2020/01/09\", \"lunch\", \"sushi\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15277\", \"logical_representation\": [\"2020/01/09\", \"Lydia, Kinsley\", \"in the morning\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Lydia, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley in the morning on 2020/01/09?\", \"24 minutes\"], [\"who did I talk to on 2020/01/09?\", \"Lydia, Kinsley\"], [\"Did I talk to Lydia, Kinsley on 2020/01/09?\", \"yes\"], [\"Did I talk to anyone on 2020/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15278\", \"logical_representation\": [\"2020/01/09\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/01/09?\", \"11 minutes\"], [\"what did I read on 2020/01/09?\", \"social media\"], [\"Did I read on 2020/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/10\": {\"read\": {\"eid\": \"e15279\", \"logical_representation\": [\"2020/01/10\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/01/10?\", \"24 minutes\"], [\"what did I read on 2020/01/10?\", \"a book\"], [\"Did I read on 2020/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/12\": {\"exercise\": {\"eid\": \"e15284\", \"logical_representation\": [\"2020/01/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/01/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15285\", \"logical_representation\": [\"2020/01/12\", \"lunch\", \"fish and chips\", \"Willow, Avery\"], \"text_template_based\": \"I had lunch with Willow, Avery. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/01/12?\", \"Willow, Avery\"], [\"what did I eat for lunch on 2020/01/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15286\", \"logical_representation\": [\"2020/01/12\", \"dinner\", \"sandwich\", \"Nora, Kinsley\"], \"text_template_based\": \"I had sandwich for dinner with Nora, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/01/12?\", \"Nora, Kinsley\"], [\"what did I eat for dinner on 2020/01/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15287\", \"logical_representation\": [\"2020/01/12\", \"Nevaeh\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 45 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early afternoon on 2020/01/12?\", \"45 minutes\"], [\"who did I talk to on 2020/01/12?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2020/01/12?\", \"yes\"], [\"Did I talk to anyone on 2020/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15288\", \"logical_representation\": [\"2020/01/12\", \"Piper, Kinsley, Nevaeh, Eva\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Nevaeh, Eva for 23 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Nevaeh, Eva during lunch hours on 2020/01/12?\", \"23 minutes\"], [\"who did I talk to on 2020/01/12?\", \"Piper, Kinsley, Nevaeh, Eva\"], [\"Did I talk to Piper, Kinsley, Nevaeh, Eva on 2020/01/12?\", \"yes\"], [\"Did I talk to anyone on 2020/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15289\", \"logical_representation\": [\"2020/01/12\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/12?\", \"11 minutes\"], [\"what did I watch on tv on 2020/01/12?\", \"a tv series\"], [\"Did I watch tv on 2020/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/13\": {\"exercise\": {\"eid\": \"e15290\", \"logical_representation\": [\"2020/01/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/01/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15291\", \"logical_representation\": [\"2020/01/13\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/01/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15292\", \"logical_representation\": [\"2020/01/13\", \"Kinsley, Nora\", \"in the early evening\", \"44 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora for 44 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora in the early evening on 2020/01/13?\", \"44 minutes\"], [\"who did I talk to on 2020/01/13?\", \"Kinsley, Nora\"], [\"Did I talk to Kinsley, Nora on 2020/01/13?\", \"yes\"], [\"Did I talk to anyone on 2020/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/14\": {\"chat1\": {\"eid\": \"e15293\", \"logical_representation\": [\"2020/01/14\", \"Piper, Kinsley, Layla, Nora\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Layla, Nora for 27 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Layla, Nora in the morning on 2020/01/14?\", \"27 minutes\"], [\"who did I talk to on 2020/01/14?\", \"Piper, Kinsley, Layla, Nora\"], [\"Did I talk to Piper, Kinsley, Layla, Nora on 2020/01/14?\", \"yes\"], [\"Did I talk to anyone on 2020/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/15\": {\"breakfast\": {\"eid\": \"e15294\", \"logical_representation\": [\"2020/01/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/01/15?\", \"Avery\"], [\"what did I eat for breakfast on 2020/01/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15295\", \"logical_representation\": [\"2020/01/15\", \"lunch\", \"fish and chips\", \"Avery, Benjamin\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15296\", \"logical_representation\": [\"2020/01/15\", \"dinner\", \"tacos\", \"Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/01/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15297\", \"logical_representation\": [\"2020/01/15\", \"Olivia, Hazel, Piper, Piper\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Olivia, Hazel, Piper, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Piper, Piper in the early afternoon on 2020/01/15?\", \"47 minutes\"], [\"who did I talk to on 2020/01/15?\", \"Olivia, Hazel, Piper, Piper\"], [\"Did I talk to Olivia, Hazel, Piper, Piper on 2020/01/15?\", \"yes\"], [\"Did I talk to anyone on 2020/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15298\", \"logical_representation\": [\"2020/01/15\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/01/15?\", \"23 minutes\"], [\"what did I read on 2020/01/15?\", \"a book\"], [\"Did I read on 2020/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/16\": {\"read\": {\"eid\": \"e15299\", \"logical_representation\": [\"2020/01/16\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/01/16?\", \"21 minutes\"], [\"what did I read on 2020/01/16?\", \"news\"], [\"Did I read on 2020/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15300\", \"logical_representation\": [\"2020/01/16\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/16?\", \"25 minutes\"], [\"what did I watch on tv on 2020/01/16?\", \"a documentary\"], [\"Did I watch tv on 2020/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/17\": {\"dinner\": {\"eid\": \"e15301\", \"logical_representation\": [\"2020/01/17\", \"dinner\", \"indian food\", \"Piper, Hazel, Lydia, Rylee, Nora, Claire, Eva, Kinsley\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/01/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15302\", \"logical_representation\": [\"2020/01/17\", \"Hazel, Kinsley\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Hazel, Kinsley for 53 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley in the late afternoon on 2020/01/17?\", \"53 minutes\"], [\"who did I talk to on 2020/01/17?\", \"Hazel, Kinsley\"], [\"Did I talk to Hazel, Kinsley on 2020/01/17?\", \"yes\"], [\"Did I talk to anyone on 2020/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15303\", \"logical_representation\": [\"2020/01/17\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/01/17?\", \"15 minutes\"], [\"what did I read on 2020/01/17?\", \"news\"], [\"Did I read on 2020/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15304\", \"logical_representation\": [\"2020/01/17\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/17?\", \"54 minutes\"], [\"what did I watch on tv on 2020/01/17?\", \"a tv series\"], [\"Did I watch tv on 2020/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/19\": {\"dinner\": {\"eid\": \"e15306\", \"logical_representation\": [\"2020/01/19\", \"dinner\", \"indian food\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/01/19\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15307\", \"logical_representation\": [\"2020/01/19\", \"Nevaeh, Piper, Kinsley, Rylee\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Nevaeh, Piper, Kinsley, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Kinsley, Rylee late in the evening on 2020/01/19?\", \"30 minutes\"], [\"who did I talk to on 2020/01/19?\", \"Nevaeh, Piper, Kinsley, Rylee\"], [\"Did I talk to Nevaeh, Piper, Kinsley, Rylee on 2020/01/19?\", \"yes\"], [\"Did I talk to anyone on 2020/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15308\", \"logical_representation\": [\"2020/01/19\", \"Avery, Eva, Piper, Olivia\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Avery, Eva, Piper, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Piper, Olivia during lunch hours on 2020/01/19?\", \"6 minutes\"], [\"who did I talk to on 2020/01/19?\", \"Avery, Eva, Piper, Olivia\"], [\"Did I talk to Avery, Eva, Piper, Olivia on 2020/01/19?\", \"yes\"], [\"Did I talk to anyone on 2020/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15309\", \"logical_representation\": [\"2020/01/19\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/01/19?\", \"19 minutes\"], [\"what did I read on 2020/01/19?\", \"a book\"], [\"Did I read on 2020/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/20\": {\"exercise\": {\"eid\": \"e15310\", \"logical_representation\": [\"2020/01/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/01/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15311\", \"logical_representation\": [\"2020/01/20\", \"dinner\", \"indian food\", \"Willow, Jackson\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/01/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15312\", \"logical_representation\": [\"2020/01/20\", \"Kinsley\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the morning on 2020/01/20?\", \"51 minutes\"], [\"who did I talk to on 2020/01/20?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2020/01/20?\", \"yes\"], [\"Did I talk to anyone on 2020/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/21\": {\"exercise\": {\"eid\": \"e15313\", \"logical_representation\": [\"2020/01/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/01/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15314\", \"logical_representation\": [\"2020/01/21\", \"breakfast\", \"oatmeal\", \"Willow\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/01/21\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15315\", \"logical_representation\": [\"2020/01/21\", \"Kinsley, Piper\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper for 14 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper late in the evening on 2020/01/21?\", \"14 minutes\"], [\"who did I talk to on 2020/01/21?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2020/01/21?\", \"yes\"], [\"Did I talk to anyone on 2020/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15316\", \"logical_representation\": [\"2020/01/21\", \"Layla, Rylee, Hazel\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Layla, Rylee, Hazel for 50 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Hazel in the late afternoon on 2020/01/21?\", \"50 minutes\"], [\"who did I talk to on 2020/01/21?\", \"Layla, Rylee, Hazel\"], [\"Did I talk to Layla, Rylee, Hazel on 2020/01/21?\", \"yes\"], [\"Did I talk to anyone on 2020/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/22\": {\"exercise\": {\"eid\": \"e15317\", \"logical_representation\": [\"2020/01/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/01/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15318\", \"logical_representation\": [\"2020/01/22\", \"lunch\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had sandwich for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/01/22?\", \"Kayden\"], [\"what did I eat for lunch on 2020/01/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15319\", \"logical_representation\": [\"2020/01/22\", \"dinner\", \"steak\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/01/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15320\", \"logical_representation\": [\"2020/01/22\", \"Piper, Lydia, Nevaeh\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Nevaeh for 42 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Nevaeh during lunch hours on 2020/01/22?\", \"42 minutes\"], [\"who did I talk to on 2020/01/22?\", \"Piper, Lydia, Nevaeh\"], [\"Did I talk to Piper, Lydia, Nevaeh on 2020/01/22?\", \"yes\"], [\"Did I talk to anyone on 2020/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15321\", \"logical_representation\": [\"2020/01/22\", \"Hazel, Layla, Avery, Olivia\", \"in the early afternoon\", \"55 minutes\"], \"text_template_based\": \"I talked to Hazel, Layla, Avery, Olivia for 55 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla, Avery, Olivia in the early afternoon on 2020/01/22?\", \"55 minutes\"], [\"who did I talk to on 2020/01/22?\", \"Hazel, Layla, Avery, Olivia\"], [\"Did I talk to Hazel, Layla, Avery, Olivia on 2020/01/22?\", \"yes\"], [\"Did I talk to anyone on 2020/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15322\", \"logical_representation\": [\"2020/01/22\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/01/22?\", \"24 minutes\"], [\"what did I read on 2020/01/22?\", \"news\"], [\"Did I read on 2020/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15323\", \"logical_representation\": [\"2020/01/22\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/22?\", \"12 minutes\"], [\"what did I watch on tv on 2020/01/22?\", \"news\"], [\"Did I watch tv on 2020/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/23\": {\"exercise\": {\"eid\": \"e15324\", \"logical_representation\": [\"2020/01/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/01/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15325\", \"logical_representation\": [\"2020/01/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Andrew\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/01/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15326\", \"logical_representation\": [\"2020/01/23\", \"dinner\", \"tacos\", \"Carter\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/01/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15327\", \"logical_representation\": [\"2020/01/23\", \"Olivia, Lydia\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Olivia, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia in the morning on 2020/01/23?\", \"45 minutes\"], [\"who did I talk to on 2020/01/23?\", \"Olivia, Lydia\"], [\"Did I talk to Olivia, Lydia on 2020/01/23?\", \"yes\"], [\"Did I talk to anyone on 2020/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15328\", \"logical_representation\": [\"2020/01/23\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/01/23?\", \"8 minutes\"], [\"what did I read on 2020/01/23?\", \"a book\"], [\"Did I read on 2020/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/27\": {\"exercise\": {\"eid\": \"e15340\", \"logical_representation\": [\"2020/01/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/01/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15341\", \"logical_representation\": [\"2020/01/27\", \"dinner\", \"tacos\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/01/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15342\", \"logical_representation\": [\"2020/01/27\", \"Piper, Rylee, Olivia\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Piper, Rylee, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Olivia late in the evening on 2020/01/27?\", \"55 minutes\"], [\"who did I talk to on 2020/01/27?\", \"Piper, Rylee, Olivia\"], [\"Did I talk to Piper, Rylee, Olivia on 2020/01/27?\", \"yes\"], [\"Did I talk to anyone on 2020/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15343\", \"logical_representation\": [\"2020/01/27\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I watched a documentary for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/27?\", \"13 minutes\"], [\"what did I watch on tv on 2020/01/27?\", \"a documentary\"], [\"Did I watch tv on 2020/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/28\": {\"lunch\": {\"eid\": \"e15344\", \"logical_representation\": [\"2020/01/28\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15345\", \"logical_representation\": [\"2020/01/28\", \"dinner\", \"steak\", \"Olivia, Rylee, Layla, Eva, Lydia, Hazel, Claire, Piper, Nevaeh, Kinsley, Nora, Piper\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/01/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15346\", \"logical_representation\": [\"2020/01/28\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/28?\", \"38 minutes\"], [\"what did I watch on tv on 2020/01/28?\", \"news\"], [\"Did I watch tv on 2020/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/29\": {\"dinner\": {\"eid\": \"e15347\", \"logical_representation\": [\"2020/01/29\", \"dinner\", \"steak\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had steak for dinner with Kayden, Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/01/29?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2020/01/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15348\", \"logical_representation\": [\"2020/01/29\", \"Nora\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2020/01/29?\", \"52 minutes\"], [\"who did I talk to on 2020/01/29?\", \"Nora\"], [\"Did I talk to Nora on 2020/01/29?\", \"yes\"], [\"Did I talk to anyone on 2020/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/02\": {\"breakfast\": {\"eid\": \"e15361\", \"logical_representation\": [\"2020/02/02\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/02/02?\", \"Kayden\"], [\"what did I eat for breakfast on 2020/02/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15362\", \"logical_representation\": [\"2020/02/02\", \"lunch\", \"pasta\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/02/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15363\", \"logical_representation\": [\"2020/02/02\", \"news\", \"11 minutes\"], \"text_template_based\": \"I watched news for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/02?\", \"11 minutes\"], [\"what did I watch on tv on 2020/02/02?\", \"news\"], [\"Did I watch tv on 2020/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/03\": {\"exercise\": {\"eid\": \"e15364\", \"logical_representation\": [\"2020/02/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/02/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15365\", \"logical_representation\": [\"2020/02/03\", \"breakfast\", \"pancakes\", \"Olivia, Piper\"], \"text_template_based\": \"I had breakfast with Olivia, Piper. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/02/03?\", \"Olivia, Piper\"], [\"what did I eat for breakfast on 2020/02/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15366\", \"logical_representation\": [\"2020/02/03\", \"dinner\", \"tacos\", \"Avery, Kinsley\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/02/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15367\", \"logical_representation\": [\"2020/02/03\", \"Claire, Avery, Lydia, Eva\", \"late in the evening\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Claire, Avery, Lydia, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Lydia, Eva late in the evening on 2020/02/03?\", \"16 minutes\"], [\"who did I talk to on 2020/02/03?\", \"Claire, Avery, Lydia, Eva\"], [\"Did I talk to Claire, Avery, Lydia, Eva on 2020/02/03?\", \"yes\"], [\"Did I talk to anyone on 2020/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15368\", \"logical_representation\": [\"2020/02/03\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/02/03?\", \"38 minutes\"], [\"what did I read on 2020/02/03?\", \"a book\"], [\"Did I read on 2020/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/04\": {\"breakfast\": {\"eid\": \"e15369\", \"logical_representation\": [\"2020/02/04\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Andrew. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/02/04?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for breakfast on 2020/02/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15370\", \"logical_representation\": [\"2020/02/04\", \"Claire, Kinsley, Olivia\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Claire, Kinsley, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Olivia in the late afternoon on 2020/02/04?\", \"30 minutes\"], [\"who did I talk to on 2020/02/04?\", \"Claire, Kinsley, Olivia\"], [\"Did I talk to Claire, Kinsley, Olivia on 2020/02/04?\", \"yes\"], [\"Did I talk to anyone on 2020/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15371\", \"logical_representation\": [\"2020/02/04\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I watched a documentary for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/04?\", \"9 minutes\"], [\"what did I watch on tv on 2020/02/04?\", \"a documentary\"], [\"Did I watch tv on 2020/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/05\": {\"breakfast\": {\"eid\": \"e15372\", \"logical_representation\": [\"2020/02/05\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/05\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15373\", \"logical_representation\": [\"2020/02/05\", \"lunch\", \"steak\", \"Hazel\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/02/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15374\", \"logical_representation\": [\"2020/02/05\", \"dinner\", \"tacos\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/02/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15375\", \"logical_representation\": [\"2020/02/05\", \"Hazel, Avery\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Hazel, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery late in the evening on 2020/02/05?\", \"26 minutes\"], [\"who did I talk to on 2020/02/05?\", \"Hazel, Avery\"], [\"Did I talk to Hazel, Avery on 2020/02/05?\", \"yes\"], [\"Did I talk to anyone on 2020/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15376\", \"logical_representation\": [\"2020/02/05\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/02/05?\", \"50 minutes\"], [\"what did I read on 2020/02/05?\", \"news\"], [\"Did I read on 2020/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15377\", \"logical_representation\": [\"2020/02/05\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I watched a documentary for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/05?\", \"47 minutes\"], [\"what did I watch on tv on 2020/02/05?\", \"a documentary\"], [\"Did I watch tv on 2020/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/14\": {\"exercise\": {\"eid\": \"e15405\", \"logical_representation\": [\"2020/02/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/02/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15406\", \"logical_representation\": [\"2020/02/14\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15407\", \"logical_representation\": [\"2020/02/14\", \"lunch\", \"tacos\", \"Olivia\"], \"text_template_based\": \"I had lunch with Olivia. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/02/14?\", \"Olivia\"], [\"what did I eat for lunch on 2020/02/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15408\", \"logical_representation\": [\"2020/02/14\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/02/14?\", \"27 minutes\"], [\"what did I read on 2020/02/14?\", \"news\"], [\"Did I read on 2020/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15409\", \"logical_representation\": [\"2020/02/14\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/14?\", \"34 minutes\"], [\"what did I watch on tv on 2020/02/14?\", \"news\"], [\"Did I watch tv on 2020/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/16\": {\"exercise\": {\"eid\": \"e15412\", \"logical_representation\": [\"2020/02/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/02/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15413\", \"logical_representation\": [\"2020/02/16\", \"dinner\", \"chinese food\", \"Layla\"], \"text_template_based\": \"I had chinese food for dinner with Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/02/16?\", \"Layla\"], [\"what did I eat for dinner on 2020/02/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2020/02/17\": {\"breakfast\": {\"eid\": \"e15414\", \"logical_representation\": [\"2020/02/17\", \"breakfast\", \"toast and cheese\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had toast and cheese for breakfast with Willow, Avery, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/02/17?\", \"Willow, Avery, Jackson, Benjamin\"], [\"what did I eat for breakfast on 2020/02/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15415\", \"logical_representation\": [\"2020/02/17\", \"dinner\", \"sushi\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/02/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15416\", \"logical_representation\": [\"2020/02/17\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/02/17?\", \"8 minutes\"], [\"what did I read on 2020/02/17?\", \"social media\"], [\"Did I read on 2020/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/18\": {\"breakfast\": {\"eid\": \"e15417\", \"logical_representation\": [\"2020/02/18\", \"breakfast\", \"pancakes\", \"Hazel, Piper, Layla, Lydia, Nora, Avery, Piper, Claire, Eva, Kinsley, Nevaeh, Olivia\"], \"text_template_based\": \"I had breakfast with Hazel, Piper, Layla, Lydia, Nora, Avery, Piper, Claire, Eva, Kinsley, Nevaeh, Olivia. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/02/18?\", \"Hazel, Piper, Layla, Lydia, Nora, Avery, Piper, Claire, Eva, Kinsley, Nevaeh, Olivia\"], [\"what did I eat for breakfast on 2020/02/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15418\", \"logical_representation\": [\"2020/02/18\", \"lunch\", \"indian food\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Carter, Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/02/18?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for lunch on 2020/02/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15419\", \"logical_representation\": [\"2020/02/18\", \"dinner\", \"sandwich\", \"Piper, Lydia, Hazel, Layla, Rylee, Eva, Nevaeh, Nora, Kinsley, Piper\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/02/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15420\", \"logical_representation\": [\"2020/02/18\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/02/18?\", \"36 minutes\"], [\"what did I read on 2020/02/18?\", \"a book\"], [\"Did I read on 2020/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/19\": {\"dinner\": {\"eid\": \"e15421\", \"logical_representation\": [\"2020/02/19\", \"dinner\", \"pasta\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/02/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15422\", \"logical_representation\": [\"2020/02/19\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/19?\", \"48 minutes\"], [\"what did I watch on tv on 2020/02/19?\", \"news\"], [\"Did I watch tv on 2020/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/20\": {\"exercise\": {\"eid\": \"e15423\", \"logical_representation\": [\"2020/02/20\", \"biking\"], \"text_template_based\": \"I did biking on 2020/02/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15424\", \"logical_representation\": [\"2020/02/20\", \"breakfast\", \"pancakes\", \"Layla, Claire, Avery, Kinsley, Nevaeh, Lydia, Piper, Piper, Nora, Hazel, Olivia, Rylee, Eva\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15425\", \"logical_representation\": [\"2020/02/20\", \"dinner\", \"fish and chips\", \"Piper, Lydia, Avery, Nora, Rylee, Layla, Eva, Hazel, Nevaeh, Claire, Olivia, Kinsley, Piper\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/02/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15426\", \"logical_representation\": [\"2020/02/20\", \"Layla\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2020/02/20?\", \"40 minutes\"], [\"who did I talk to on 2020/02/20?\", \"Layla\"], [\"Did I talk to Layla on 2020/02/20?\", \"yes\"], [\"Did I talk to anyone on 2020/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15427\", \"logical_representation\": [\"2020/02/20\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/02/20?\", \"26 minutes\"], [\"what did I read on 2020/02/20?\", \"news\"], [\"Did I read on 2020/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/21\": {\"exercise\": {\"eid\": \"e15428\", \"logical_representation\": [\"2020/02/21\", \"running\"], \"text_template_based\": \"I did running on 2020/02/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15429\", \"logical_representation\": [\"2020/02/21\", \"Avery, Piper\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Avery, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the early afternoon on 2020/02/21?\", \"7 minutes\"], [\"who did I talk to on 2020/02/21?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2020/02/21?\", \"yes\"], [\"Did I talk to anyone on 2020/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15430\", \"logical_representation\": [\"2020/02/21\", \"Avery, Nora, Olivia, Layla\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Avery, Nora, Olivia, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora, Olivia, Layla during lunch hours on 2020/02/21?\", \"13 minutes\"], [\"who did I talk to on 2020/02/21?\", \"Avery, Nora, Olivia, Layla\"], [\"Did I talk to Avery, Nora, Olivia, Layla on 2020/02/21?\", \"yes\"], [\"Did I talk to anyone on 2020/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/22\": {\"breakfast\": {\"eid\": \"e15431\", \"logical_representation\": [\"2020/02/22\", \"breakfast\", \"pancakes\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15432\", \"logical_representation\": [\"2020/02/22\", \"lunch\", \"tacos\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had lunch with Avery, Benjamin, Jackson. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/02/22?\", \"Avery, Benjamin, Jackson\"], [\"what did I eat for lunch on 2020/02/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15433\", \"logical_representation\": [\"2020/02/22\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/02/22?\", \"17 minutes\"], [\"what did I read on 2020/02/22?\", \"social media\"], [\"Did I read on 2020/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/24\": {\"exercise\": {\"eid\": \"e15437\", \"logical_representation\": [\"2020/02/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/02/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15438\", \"logical_representation\": [\"2020/02/24\", \"breakfast\", \"peanut-butter-jam\", \"Avery\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15439\", \"logical_representation\": [\"2020/02/24\", \"lunch\", \"fish and chips\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/02/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15440\", \"logical_representation\": [\"2020/02/24\", \"Olivia, Claire\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Olivia, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire during lunch hours on 2020/02/24?\", \"38 minutes\"], [\"who did I talk to on 2020/02/24?\", \"Olivia, Claire\"], [\"Did I talk to Olivia, Claire on 2020/02/24?\", \"yes\"], [\"Did I talk to anyone on 2020/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15441\", \"logical_representation\": [\"2020/02/24\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/02/24?\", \"15 minutes\"], [\"what did I read on 2020/02/24?\", \"a book\"], [\"Did I read on 2020/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15442\", \"logical_representation\": [\"2020/02/24\", \"a tv series\", \"29 minutes\"], \"text_template_based\": \"I watched a tv series for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/24?\", \"29 minutes\"], [\"what did I watch on tv on 2020/02/24?\", \"a tv series\"], [\"Did I watch tv on 2020/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/27\": {\"exercise\": {\"eid\": \"e15453\", \"logical_representation\": [\"2020/02/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/02/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15454\", \"logical_representation\": [\"2020/02/27\", \"dinner\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/02/27\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2020/02/28\": {\"breakfast\": {\"eid\": \"e15455\", \"logical_representation\": [\"2020/02/28\", \"breakfast\", \"cereals\", \"Nevaeh, Nora, Claire, Olivia, Lydia\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15456\", \"logical_representation\": [\"2020/02/28\", \"lunch\", \"steak\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had steak for lunch with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/02/28?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2020/02/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15457\", \"logical_representation\": [\"2020/02/28\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/02/28?\", \"32 minutes\"], [\"what did I read on 2020/02/28?\", \"a book\"], [\"Did I read on 2020/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15458\", \"logical_representation\": [\"2020/02/28\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I watched a movie for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/28?\", \"19 minutes\"], [\"what did I watch on tv on 2020/02/28?\", \"a movie\"], [\"Did I watch tv on 2020/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/01\": {\"lunch\": {\"eid\": \"e15464\", \"logical_representation\": [\"2020/03/01\", \"lunch\", \"tacos\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/03/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15465\", \"logical_representation\": [\"2020/03/01\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I watched a tv series for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/01?\", \"28 minutes\"], [\"what did I watch on tv on 2020/03/01?\", \"a tv series\"], [\"Did I watch tv on 2020/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/02\": {\"exercise\": {\"eid\": \"e15466\", \"logical_representation\": [\"2020/03/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/03/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15467\", \"logical_representation\": [\"2020/03/02\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/03/02?\", \"Carter\"], [\"what did I eat for breakfast on 2020/03/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15468\", \"logical_representation\": [\"2020/03/02\", \"lunch\", \"tacos\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had tacos for lunch with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/03/02?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2020/03/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15469\", \"logical_representation\": [\"2020/03/02\", \"dinner\", \"chinese food\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had chinese food for dinner with Kayden, Carter, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/03/02?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2020/03/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15470\", \"logical_representation\": [\"2020/03/02\", \"Claire\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Claire for 21 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2020/03/02?\", \"21 minutes\"], [\"who did I talk to on 2020/03/02?\", \"Claire\"], [\"Did I talk to Claire on 2020/03/02?\", \"yes\"], [\"Did I talk to anyone on 2020/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15471\", \"logical_representation\": [\"2020/03/02\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/03/02?\", \"43 minutes\"], [\"what did I read on 2020/03/02?\", \"a book\"], [\"Did I read on 2020/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15472\", \"logical_representation\": [\"2020/03/02\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/02?\", \"23 minutes\"], [\"what did I watch on tv on 2020/03/02?\", \"a documentary\"], [\"Did I watch tv on 2020/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/04\": {\"exercise\": {\"eid\": \"e15476\", \"logical_representation\": [\"2020/03/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/03/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15477\", \"logical_representation\": [\"2020/03/04\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/03/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15478\", \"logical_representation\": [\"2020/03/04\", \"lunch\", \"chinese food\", \"Claire, Avery, Rylee, Lydia, Piper, Nevaeh, Olivia, Eva, Layla, Hazel, Nora, Piper\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/03/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15479\", \"logical_representation\": [\"2020/03/04\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/03/04?\", \"35 minutes\"], [\"what did I read on 2020/03/04?\", \"social media\"], [\"Did I read on 2020/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/06\": {\"exercise\": {\"eid\": \"e15485\", \"logical_representation\": [\"2020/03/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/03/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15486\", \"logical_representation\": [\"2020/03/06\", \"Claire, Layla, Avery\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Claire, Layla, Avery for 33 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Avery in the early afternoon on 2020/03/06?\", \"33 minutes\"], [\"who did I talk to on 2020/03/06?\", \"Claire, Layla, Avery\"], [\"Did I talk to Claire, Layla, Avery on 2020/03/06?\", \"yes\"], [\"Did I talk to anyone on 2020/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15487\", \"logical_representation\": [\"2020/03/06\", \"Lydia, Piper\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Lydia, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper late in the evening on 2020/03/06?\", \"29 minutes\"], [\"who did I talk to on 2020/03/06?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2020/03/06?\", \"yes\"], [\"Did I talk to anyone on 2020/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15488\", \"logical_representation\": [\"2020/03/06\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I watched a tv series for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/06?\", \"7 minutes\"], [\"what did I watch on tv on 2020/03/06?\", \"a tv series\"], [\"Did I watch tv on 2020/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/08\": {\"exercise\": {\"eid\": \"e15493\", \"logical_representation\": [\"2020/03/08\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/03/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/08?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15494\", \"logical_representation\": [\"2020/03/08\", \"breakfast\", \"cereals\", \"Jackson, Benjamin\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/03/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15495\", \"logical_representation\": [\"2020/03/08\", \"lunch\", \"fish and chips\", \"Avery, Willow\"], \"text_template_based\": \"I had fish and chips for lunch with Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/03/08?\", \"Avery, Willow\"], [\"what did I eat for lunch on 2020/03/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15496\", \"logical_representation\": [\"2020/03/08\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/08?\", \"10 minutes\"], [\"what did I watch on tv on 2020/03/08?\", \"a movie\"], [\"Did I watch tv on 2020/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/09\": {\"lunch\": {\"eid\": \"e15497\", \"logical_representation\": [\"2020/03/09\", \"lunch\", \"tacos\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/03/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15498\", \"logical_representation\": [\"2020/03/09\", \"dinner\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had steak for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/03/09?\", \"Kayden\"], [\"what did I eat for dinner on 2020/03/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15499\", \"logical_representation\": [\"2020/03/09\", \"Hazel, Claire\", \"during lunch hours\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Hazel, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire during lunch hours on 2020/03/09?\", \"19 minutes\"], [\"who did I talk to on 2020/03/09?\", \"Hazel, Claire\"], [\"Did I talk to Hazel, Claire on 2020/03/09?\", \"yes\"], [\"Did I talk to anyone on 2020/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15500\", \"logical_representation\": [\"2020/03/09\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/03/09?\", \"52 minutes\"], [\"what did I read on 2020/03/09?\", \"a book\"], [\"Did I read on 2020/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/10\": {\"dinner\": {\"eid\": \"e15501\", \"logical_representation\": [\"2020/03/10\", \"dinner\", \"a burger\", \"Lydia, Hazel, Claire, Kinsley, Piper, Rylee\"], \"text_template_based\": \"I had a burger for dinner with Lydia, Hazel, Claire, Kinsley, Piper, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/03/10?\", \"Lydia, Hazel, Claire, Kinsley, Piper, Rylee\"], [\"what did I eat for dinner on 2020/03/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15502\", \"logical_representation\": [\"2020/03/10\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/10?\", \"17 minutes\"], [\"what did I watch on tv on 2020/03/10?\", \"a movie\"], [\"Did I watch tv on 2020/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/11\": {\"exercise\": {\"eid\": \"e15503\", \"logical_representation\": [\"2020/03/11\", \"biking\"], \"text_template_based\": \"I did biking on 2020/03/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15504\", \"logical_representation\": [\"2020/03/11\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/03/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15505\", \"logical_representation\": [\"2020/03/11\", \"lunch\", \"pasta\", \"Avery, Willow\"], \"text_template_based\": \"I had pasta for lunch with Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/03/11?\", \"Avery, Willow\"], [\"what did I eat for lunch on 2020/03/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15506\", \"logical_representation\": [\"2020/03/11\", \"Kinsley, Nevaeh, Piper, Piper\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Kinsley, Nevaeh, Piper, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Piper, Piper in the morning on 2020/03/11?\", \"20 minutes\"], [\"who did I talk to on 2020/03/11?\", \"Kinsley, Nevaeh, Piper, Piper\"], [\"Did I talk to Kinsley, Nevaeh, Piper, Piper on 2020/03/11?\", \"yes\"], [\"Did I talk to anyone on 2020/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15507\", \"logical_representation\": [\"2020/03/11\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/03/11?\", \"51 minutes\"], [\"what did I read on 2020/03/11?\", \"social media\"], [\"Did I read on 2020/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/12\": {\"lunch\": {\"eid\": \"e15508\", \"logical_representation\": [\"2020/03/12\", \"lunch\", \"chinese food\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had lunch with Avery, Willow, Jackson, Benjamin. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/03/12?\", \"Avery, Willow, Jackson, Benjamin\"], [\"what did I eat for lunch on 2020/03/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15509\", \"logical_representation\": [\"2020/03/12\", \"a book\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/03/12?\", \"40 minutes\"], [\"what did I read on 2020/03/12?\", \"a book\"], [\"Did I read on 2020/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15510\", \"logical_representation\": [\"2020/03/12\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/12?\", \"29 minutes\"], [\"what did I watch on tv on 2020/03/12?\", \"news\"], [\"Did I watch tv on 2020/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/13\": {\"chat1\": {\"eid\": \"e15511\", \"logical_representation\": [\"2020/03/13\", \"Nora, Layla, Olivia, Piper\", \"in the late afternoon\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Nora, Layla, Olivia, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Olivia, Piper in the late afternoon on 2020/03/13?\", \"8 minutes\"], [\"who did I talk to on 2020/03/13?\", \"Nora, Layla, Olivia, Piper\"], [\"Did I talk to Nora, Layla, Olivia, Piper on 2020/03/13?\", \"yes\"], [\"Did I talk to anyone on 2020/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/15\": {\"breakfast\": {\"eid\": \"e15517\", \"logical_representation\": [\"2020/03/15\", \"breakfast\", \"pancakes\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/03/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15518\", \"logical_representation\": [\"2020/03/15\", \"lunch\", \"fish and chips\", \"Nora, Eva, Piper, Lydia, Claire, Layla, Olivia, Hazel\"], \"text_template_based\": \"I had lunch with Nora, Eva, Piper, Lydia, Claire, Layla, Olivia, Hazel. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/03/15?\", \"Nora, Eva, Piper, Lydia, Claire, Layla, Olivia, Hazel\"], [\"what did I eat for lunch on 2020/03/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15519\", \"logical_representation\": [\"2020/03/15\", \"dinner\", \"a burger\", \"Nevaeh, Nora, Layla, Lydia, Piper, Piper, Kinsley, Avery, Hazel, Olivia\"], \"text_template_based\": \"I had a burger for dinner with Nevaeh, Nora, Layla, Lydia, Piper, Piper, Kinsley, Avery, Hazel, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/03/15?\", \"Nevaeh, Nora, Layla, Lydia, Piper, Piper, Kinsley, Avery, Hazel, Olivia\"], [\"what did I eat for dinner on 2020/03/15\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2020/03/16\": {\"dinner\": {\"eid\": \"e15520\", \"logical_representation\": [\"2020/03/16\", \"dinner\", \"chinese food\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/03/16?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2020/03/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15521\", \"logical_representation\": [\"2020/03/16\", \"Nora, Piper, Olivia\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Nora, Piper, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Olivia in the early afternoon on 2020/03/16?\", \"27 minutes\"], [\"who did I talk to on 2020/03/16?\", \"Nora, Piper, Olivia\"], [\"Did I talk to Nora, Piper, Olivia on 2020/03/16?\", \"yes\"], [\"Did I talk to anyone on 2020/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15522\", \"logical_representation\": [\"2020/03/16\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/03/16?\", \"42 minutes\"], [\"what did I read on 2020/03/16?\", \"social media\"], [\"Did I read on 2020/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15523\", \"logical_representation\": [\"2020/03/16\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/16?\", \"11 minutes\"], [\"what did I watch on tv on 2020/03/16?\", \"a movie\"], [\"Did I watch tv on 2020/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/17\": {\"exercise\": {\"eid\": \"e15524\", \"logical_representation\": [\"2020/03/17\", \"biking\"], \"text_template_based\": \"I did biking on 2020/03/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15525\", \"logical_representation\": [\"2020/03/17\", \"lunch\", \"fish and chips\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had fish and chips for lunch with Avery, Willow, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/03/17?\", \"Avery, Willow, Jackson, Benjamin\"], [\"what did I eat for lunch on 2020/03/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15526\", \"logical_representation\": [\"2020/03/17\", \"dinner\", \"sushi\", \"Nevaeh, Lydia, Rylee, Piper, Avery, Claire, Layla, Olivia, Nora, Hazel, Kinsley, Eva, Piper\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/03/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15527\", \"logical_representation\": [\"2020/03/17\", \"Layla, Nora, Piper, Claire\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Layla, Nora, Piper, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Piper, Claire in the late afternoon on 2020/03/17?\", \"48 minutes\"], [\"who did I talk to on 2020/03/17?\", \"Layla, Nora, Piper, Claire\"], [\"Did I talk to Layla, Nora, Piper, Claire on 2020/03/17?\", \"yes\"], [\"Did I talk to anyone on 2020/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15528\", \"logical_representation\": [\"2020/03/17\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/03/17?\", \"24 minutes\"], [\"what did I read on 2020/03/17?\", \"news\"], [\"Did I read on 2020/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15529\", \"logical_representation\": [\"2020/03/17\", \"news\", \"28 minutes\"], \"text_template_based\": \"I watched news for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/17?\", \"28 minutes\"], [\"what did I watch on tv on 2020/03/17?\", \"news\"], [\"Did I watch tv on 2020/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/18\": {\"breakfast\": {\"eid\": \"e15530\", \"logical_representation\": [\"2020/03/18\", \"breakfast\", \"toast and cheese\", \"Avery, Claire, Hazel, Piper, Eva, Rylee\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/03/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15531\", \"logical_representation\": [\"2020/03/18\", \"dinner\", \"steak\", \"Rylee, Olivia, Piper, Layla, Kinsley, Eva, Nevaeh, Claire, Piper, Avery, Hazel, Lydia, Nora\"], \"text_template_based\": \"I had steak for dinner with Rylee, Olivia, Piper, Layla, Kinsley, Eva, Nevaeh, Claire, Piper, Avery, Hazel, Lydia, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/03/18?\", \"Rylee, Olivia, Piper, Layla, Kinsley, Eva, Nevaeh, Claire, Piper, Avery, Hazel, Lydia, Nora\"], [\"what did I eat for dinner on 2020/03/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15532\", \"logical_representation\": [\"2020/03/18\", \"Layla, Piper, Claire\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Claire for 46 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Claire in the late afternoon on 2020/03/18?\", \"46 minutes\"], [\"who did I talk to on 2020/03/18?\", \"Layla, Piper, Claire\"], [\"Did I talk to Layla, Piper, Claire on 2020/03/18?\", \"yes\"], [\"Did I talk to anyone on 2020/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15533\", \"logical_representation\": [\"2020/03/18\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/03/18?\", \"42 minutes\"], [\"what did I read on 2020/03/18?\", \"social media\"], [\"Did I read on 2020/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15534\", \"logical_representation\": [\"2020/03/18\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I watched a documentary for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/18?\", \"37 minutes\"], [\"what did I watch on tv on 2020/03/18?\", \"a documentary\"], [\"Did I watch tv on 2020/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/19\": {\"exercise\": {\"eid\": \"e15535\", \"logical_representation\": [\"2020/03/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/03/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15536\", \"logical_representation\": [\"2020/03/19\", \"breakfast\", \"cereals\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had cereals for breakfast with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/03/19?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for breakfast on 2020/03/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15537\", \"logical_representation\": [\"2020/03/19\", \"lunch\", \"indian food\", \"Nora, Kinsley, Claire, Layla\"], \"text_template_based\": \"I had lunch with Nora, Kinsley, Claire, Layla. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/03/19?\", \"Nora, Kinsley, Claire, Layla\"], [\"what did I eat for lunch on 2020/03/19\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15538\", \"logical_representation\": [\"2020/03/19\", \"dinner\", \"a burger\", \"Rylee, Eva, Nevaeh, Claire, Nora, Piper, Layla, Hazel\"], \"text_template_based\": \"I had dinner with Rylee, Eva, Nevaeh, Claire, Nora, Piper, Layla, Hazel. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/03/19?\", \"Rylee, Eva, Nevaeh, Claire, Nora, Piper, Layla, Hazel\"], [\"what did I eat for dinner on 2020/03/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15539\", \"logical_representation\": [\"2020/03/19\", \"Piper, Eva, Avery\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Piper, Eva, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Avery in the late afternoon on 2020/03/19?\", \"47 minutes\"], [\"who did I talk to on 2020/03/19?\", \"Piper, Eva, Avery\"], [\"Did I talk to Piper, Eva, Avery on 2020/03/19?\", \"yes\"], [\"Did I talk to anyone on 2020/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15540\", \"logical_representation\": [\"2020/03/19\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/19?\", \"25 minutes\"], [\"what did I watch on tv on 2020/03/19?\", \"news\"], [\"Did I watch tv on 2020/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/20\": {\"exercise\": {\"eid\": \"e15541\", \"logical_representation\": [\"2020/03/20\", \"biking\"], \"text_template_based\": \"I did biking on 2020/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15542\", \"logical_representation\": [\"2020/03/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/03/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15543\", \"logical_representation\": [\"2020/03/20\", \"lunch\", \"indian food\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/03/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15544\", \"logical_representation\": [\"2020/03/20\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/03/20?\", \"20 minutes\"], [\"what did I read on 2020/03/20?\", \"social media\"], [\"Did I read on 2020/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15545\", \"logical_representation\": [\"2020/03/20\", \"a movie\", \"40 minutes\"], \"text_template_based\": \"I watched a movie for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/20?\", \"40 minutes\"], [\"what did I watch on tv on 2020/03/20?\", \"a movie\"], [\"Did I watch tv on 2020/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/21\": {\"exercise\": {\"eid\": \"e15546\", \"logical_representation\": [\"2020/03/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/03/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15547\", \"logical_representation\": [\"2020/03/21\", \"lunch\", \"tacos\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/03/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15548\", \"logical_representation\": [\"2020/03/21\", \"Piper, Eva, Lydia\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Piper, Eva, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Lydia in the morning on 2020/03/21?\", \"32 minutes\"], [\"who did I talk to on 2020/03/21?\", \"Piper, Eva, Lydia\"], [\"Did I talk to Piper, Eva, Lydia on 2020/03/21?\", \"yes\"], [\"Did I talk to anyone on 2020/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15549\", \"logical_representation\": [\"2020/03/21\", \"Layla, Rylee, Piper\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Layla, Rylee, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Piper in the early evening on 2020/03/21?\", \"25 minutes\"], [\"who did I talk to on 2020/03/21?\", \"Layla, Rylee, Piper\"], [\"Did I talk to Layla, Rylee, Piper on 2020/03/21?\", \"yes\"], [\"Did I talk to anyone on 2020/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15550\", \"logical_representation\": [\"2020/03/21\", \"a book\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/03/21?\", \"40 minutes\"], [\"what did I read on 2020/03/21?\", \"a book\"], [\"Did I read on 2020/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15551\", \"logical_representation\": [\"2020/03/21\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/21?\", \"50 minutes\"], [\"what did I watch on tv on 2020/03/21?\", \"a documentary\"], [\"Did I watch tv on 2020/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/23\": {\"chat0\": {\"eid\": \"e15557\", \"logical_representation\": [\"2020/03/23\", \"Lydia, Hazel\", \"in the morning\", \"8 minutes\"], \"text_template_based\": \"I talked to Lydia, Hazel for 8 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel in the morning on 2020/03/23?\", \"8 minutes\"], [\"who did I talk to on 2020/03/23?\", \"Lydia, Hazel\"], [\"Did I talk to Lydia, Hazel on 2020/03/23?\", \"yes\"], [\"Did I talk to anyone on 2020/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/26\": {\"exercise\": {\"eid\": \"e15567\", \"logical_representation\": [\"2020/03/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/03/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15568\", \"logical_representation\": [\"2020/03/26\", \"lunch\", \"pasta\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Carter, Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/03/26?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2020/03/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15569\", \"logical_representation\": [\"2020/03/26\", \"dinner\", \"tacos\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/03/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15570\", \"logical_representation\": [\"2020/03/26\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/03/26?\", \"55 minutes\"], [\"what did I read on 2020/03/26?\", \"a book\"], [\"Did I read on 2020/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15571\", \"logical_representation\": [\"2020/03/26\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/26?\", \"30 minutes\"], [\"what did I watch on tv on 2020/03/26?\", \"a documentary\"], [\"Did I watch tv on 2020/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/28\": {\"exercise\": {\"eid\": \"e15577\", \"logical_representation\": [\"2020/03/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/03/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15578\", \"logical_representation\": [\"2020/03/28\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I watched a movie for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/28?\", \"37 minutes\"], [\"what did I watch on tv on 2020/03/28?\", \"a movie\"], [\"Did I watch tv on 2020/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/29\": {\"lunch\": {\"eid\": \"e15579\", \"logical_representation\": [\"2020/03/29\", \"lunch\", \"pasta\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Andrew, Carter, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/03/29?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for lunch on 2020/03/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15580\", \"logical_representation\": [\"2020/03/29\", \"dinner\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I had pasta for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/03/29?\", \"Andrew\"], [\"what did I eat for dinner on 2020/03/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15581\", \"logical_representation\": [\"2020/03/29\", \"Eva, Piper, Piper, Avery\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Eva, Piper, Piper, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Piper, Avery in the early evening on 2020/03/29?\", \"11 minutes\"], [\"who did I talk to on 2020/03/29?\", \"Eva, Piper, Piper, Avery\"], [\"Did I talk to Eva, Piper, Piper, Avery on 2020/03/29?\", \"yes\"], [\"Did I talk to anyone on 2020/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15582\", \"logical_representation\": [\"2020/03/29\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/03/29?\", \"55 minutes\"], [\"what did I read on 2020/03/29?\", \"news\"], [\"Did I read on 2020/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15583\", \"logical_representation\": [\"2020/03/29\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I watched a documentary for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/29?\", \"52 minutes\"], [\"what did I watch on tv on 2020/03/29?\", \"a documentary\"], [\"Did I watch tv on 2020/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/30\": {\"lunch\": {\"eid\": \"e15584\", \"logical_representation\": [\"2020/03/30\", \"lunch\", \"a burger\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had a burger for lunch with Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/03/30?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for lunch on 2020/03/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15585\", \"logical_representation\": [\"2020/03/30\", \"dinner\", \"pasta\", \"Emily, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/03/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15586\", \"logical_representation\": [\"2020/03/30\", \"Piper, Hazel\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Piper, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel in the early evening on 2020/03/30?\", \"26 minutes\"], [\"who did I talk to on 2020/03/30?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2020/03/30?\", \"yes\"], [\"Did I talk to anyone on 2020/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15587\", \"logical_representation\": [\"2020/03/30\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/30?\", \"10 minutes\"], [\"what did I watch on tv on 2020/03/30?\", \"a movie\"], [\"Did I watch tv on 2020/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/31\": {\"lunch\": {\"eid\": \"e15588\", \"logical_representation\": [\"2020/03/31\", \"lunch\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/03/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15589\", \"logical_representation\": [\"2020/03/31\", \"dinner\", \"a burger\", \"Eva, Claire, Olivia, Lydia, Piper, Layla, Rylee\"], \"text_template_based\": \"I had a burger for dinner with Eva, Claire, Olivia, Lydia, Piper, Layla, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/03/31?\", \"Eva, Claire, Olivia, Lydia, Piper, Layla, Rylee\"], [\"what did I eat for dinner on 2020/03/31\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2020/04/02\": {\"lunch\": {\"eid\": \"e15594\", \"logical_representation\": [\"2020/04/02\", \"lunch\", \"chinese food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/04/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15595\", \"logical_representation\": [\"2020/04/02\", \"Kinsley, Avery, Piper, Layla\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Kinsley, Avery, Piper, Layla for 26 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Piper, Layla in the late afternoon on 2020/04/02?\", \"26 minutes\"], [\"who did I talk to on 2020/04/02?\", \"Kinsley, Avery, Piper, Layla\"], [\"Did I talk to Kinsley, Avery, Piper, Layla on 2020/04/02?\", \"yes\"], [\"Did I talk to anyone on 2020/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15596\", \"logical_representation\": [\"2020/04/02\", \"a movie\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/04/02?\", \"35 minutes\"], [\"what did I watch on tv on 2020/04/02?\", \"a movie\"], [\"Did I watch tv on 2020/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/03\": {\"breakfast\": {\"eid\": \"e15597\", \"logical_representation\": [\"2020/04/03\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/04/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15598\", \"logical_representation\": [\"2020/04/03\", \"lunch\", \"fish and chips\", \"Willow, Benjamin\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/04/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15599\", \"logical_representation\": [\"2020/04/03\", \"dinner\", \"sushi\", \"Kinsley, Layla, Rylee, Avery, Lydia, Nora, Hazel, Claire, Piper\"], \"text_template_based\": \"I had dinner with Kinsley, Layla, Rylee, Avery, Lydia, Nora, Hazel, Claire, Piper. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/04/03?\", \"Kinsley, Layla, Rylee, Avery, Lydia, Nora, Hazel, Claire, Piper\"], [\"what did I eat for dinner on 2020/04/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15600\", \"logical_representation\": [\"2020/04/03\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/04/03?\", \"54 minutes\"], [\"what did I read on 2020/04/03?\", \"news\"], [\"Did I read on 2020/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15601\", \"logical_representation\": [\"2020/04/03\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/04/03?\", \"34 minutes\"], [\"what did I watch on tv on 2020/04/03?\", \"a tv series\"], [\"Did I watch tv on 2020/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/04\": {\"exercise\": {\"eid\": \"e15602\", \"logical_representation\": [\"2020/04/04\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/04/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/04?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15603\", \"logical_representation\": [\"2020/04/04\", \"breakfast\", \"cereals\", \"Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/04/04?\", \"Carter, Kayden\"], [\"what did I eat for breakfast on 2020/04/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15604\", \"logical_representation\": [\"2020/04/04\", \"lunch\", \"tacos\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/04/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15605\", \"logical_representation\": [\"2020/04/04\", \"dinner\", \"steak\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15606\", \"logical_representation\": [\"2020/04/04\", \"Kinsley, Olivia\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Kinsley, Olivia for 53 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia in the early evening on 2020/04/04?\", \"53 minutes\"], [\"who did I talk to on 2020/04/04?\", \"Kinsley, Olivia\"], [\"Did I talk to Kinsley, Olivia on 2020/04/04?\", \"yes\"], [\"Did I talk to anyone on 2020/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15607\", \"logical_representation\": [\"2020/04/04\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/04/04?\", \"42 minutes\"], [\"what did I read on 2020/04/04?\", \"a book\"], [\"Did I read on 2020/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/07\": {\"exercise\": {\"eid\": \"e15615\", \"logical_representation\": [\"2020/04/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/04/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15616\", \"logical_representation\": [\"2020/04/07\", \"breakfast\", \"pancakes\", \"Claire, Hazel, Lydia, Avery, Nevaeh\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/04/07\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15617\", \"logical_representation\": [\"2020/04/07\", \"dinner\", \"a burger\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15618\", \"logical_representation\": [\"2020/04/07\", \"Kinsley, Hazel, Avery, Lydia\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel, Avery, Lydia for 40 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Avery, Lydia in the early afternoon on 2020/04/07?\", \"40 minutes\"], [\"who did I talk to on 2020/04/07?\", \"Kinsley, Hazel, Avery, Lydia\"], [\"Did I talk to Kinsley, Hazel, Avery, Lydia on 2020/04/07?\", \"yes\"], [\"Did I talk to anyone on 2020/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/09\": {\"lunch\": {\"eid\": \"e15620\", \"logical_representation\": [\"2020/04/09\", \"lunch\", \"steak\", \"Kayden, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/04/09?\", \"Kayden, Carter\"], [\"what did I eat for lunch on 2020/04/09\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2020/04/10\": {\"chat0\": {\"eid\": \"e15621\", \"logical_representation\": [\"2020/04/10\", \"Avery, Claire\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Avery, Claire for 31 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire late in the evening on 2020/04/10?\", \"31 minutes\"], [\"who did I talk to on 2020/04/10?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2020/04/10?\", \"yes\"], [\"Did I talk to anyone on 2020/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/11\": {\"exercise\": {\"eid\": \"e15622\", \"logical_representation\": [\"2020/04/11\", \"biking\"], \"text_template_based\": \"I did biking on 2020/04/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15623\", \"logical_representation\": [\"2020/04/11\", \"dinner\", \"chinese food\", \"Avery, Piper, Layla, Kinsley, Hazel, Rylee, Nevaeh, Olivia, Nora, Lydia\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15624\", \"logical_representation\": [\"2020/04/11\", \"Olivia, Nora, Claire\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora, Claire for 46 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Claire late in the evening on 2020/04/11?\", \"46 minutes\"], [\"who did I talk to on 2020/04/11?\", \"Olivia, Nora, Claire\"], [\"Did I talk to Olivia, Nora, Claire on 2020/04/11?\", \"yes\"], [\"Did I talk to anyone on 2020/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15625\", \"logical_representation\": [\"2020/04/11\", \"Claire, Kinsley\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Claire, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley in the late afternoon on 2020/04/11?\", \"24 minutes\"], [\"who did I talk to on 2020/04/11?\", \"Claire, Kinsley\"], [\"Did I talk to Claire, Kinsley on 2020/04/11?\", \"yes\"], [\"Did I talk to anyone on 2020/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15626\", \"logical_representation\": [\"2020/04/11\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/04/11?\", \"20 minutes\"], [\"what did I read on 2020/04/11?\", \"social media\"], [\"Did I read on 2020/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15627\", \"logical_representation\": [\"2020/04/11\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I watched a movie for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/04/11?\", \"48 minutes\"], [\"what did I watch on tv on 2020/04/11?\", \"a movie\"], [\"Did I watch tv on 2020/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/12\": {\"exercise\": {\"eid\": \"e15628\", \"logical_representation\": [\"2020/04/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/04/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15629\", \"logical_representation\": [\"2020/04/12\", \"breakfast\", \"oatmeal\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Emily. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/04/12?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2020/04/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15630\", \"logical_representation\": [\"2020/04/12\", \"lunch\", \"tacos\", \"Claire, Nora, Nevaeh\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/04/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15631\", \"logical_representation\": [\"2020/04/12\", \"dinner\", \"fish and chips\", \"Emily, Carter\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15632\", \"logical_representation\": [\"2020/04/12\", \"Lydia\", \"in the morning\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2020/04/12?\", \"8 minutes\"], [\"who did I talk to on 2020/04/12?\", \"Lydia\"], [\"Did I talk to Lydia on 2020/04/12?\", \"yes\"], [\"Did I talk to anyone on 2020/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15633\", \"logical_representation\": [\"2020/04/12\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/04/12?\", \"12 minutes\"], [\"what did I read on 2020/04/12?\", \"a book\"], [\"Did I read on 2020/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/14\": {\"breakfast\": {\"eid\": \"e15636\", \"logical_representation\": [\"2020/04/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/04/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15637\", \"logical_representation\": [\"2020/04/14\", \"dinner\", \"steak\", \"Kinsley, Lydia, Hazel, Nora, Piper, Claire, Piper, Olivia, Layla\"], \"text_template_based\": \"I had dinner with Kinsley, Lydia, Hazel, Nora, Piper, Claire, Piper, Olivia, Layla. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/04/14?\", \"Kinsley, Lydia, Hazel, Nora, Piper, Claire, Piper, Olivia, Layla\"], [\"what did I eat for dinner on 2020/04/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15638\", \"logical_representation\": [\"2020/04/14\", \"Kinsley, Rylee\", \"late in the evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Kinsley, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee late in the evening on 2020/04/14?\", \"7 minutes\"], [\"who did I talk to on 2020/04/14?\", \"Kinsley, Rylee\"], [\"Did I talk to Kinsley, Rylee on 2020/04/14?\", \"yes\"], [\"Did I talk to anyone on 2020/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15639\", \"logical_representation\": [\"2020/04/14\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/04/14?\", \"52 minutes\"], [\"what did I read on 2020/04/14?\", \"a book\"], [\"Did I read on 2020/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/15\": {\"dinner\": {\"eid\": \"e15640\", \"logical_representation\": [\"2020/04/15\", \"dinner\", \"a burger\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15641\", \"logical_representation\": [\"2020/04/15\", \"Olivia, Kinsley, Layla, Piper\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Olivia, Kinsley, Layla, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Layla, Piper in the early afternoon on 2020/04/15?\", \"34 minutes\"], [\"who did I talk to on 2020/04/15?\", \"Olivia, Kinsley, Layla, Piper\"], [\"Did I talk to Olivia, Kinsley, Layla, Piper on 2020/04/15?\", \"yes\"], [\"Did I talk to anyone on 2020/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/16\": {\"exercise\": {\"eid\": \"e15642\", \"logical_representation\": [\"2020/04/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/04/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15643\", \"logical_representation\": [\"2020/04/16\", \"Nora\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I talked to Nora for 24 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2020/04/16?\", \"24 minutes\"], [\"who did I talk to on 2020/04/16?\", \"Nora\"], [\"Did I talk to Nora on 2020/04/16?\", \"yes\"], [\"Did I talk to anyone on 2020/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15644\", \"logical_representation\": [\"2020/04/16\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/04/16?\", \"13 minutes\"], [\"what did I read on 2020/04/16?\", \"news\"], [\"Did I read on 2020/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15645\", \"logical_representation\": [\"2020/04/16\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/04/16?\", \"48 minutes\"], [\"what did I watch on tv on 2020/04/16?\", \"a tv series\"], [\"Did I watch tv on 2020/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/19\": {\"exercise\": {\"eid\": \"e15654\", \"logical_representation\": [\"2020/04/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/04/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15655\", \"logical_representation\": [\"2020/04/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Rylee, Kinsley, Layla, Piper, Eva, Claire, Avery, Piper, Nevaeh, Lydia\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/04/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15656\", \"logical_representation\": [\"2020/04/19\", \"Olivia, Kinsley, Nora\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley, Nora for 26 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Nora late in the evening on 2020/04/19?\", \"26 minutes\"], [\"who did I talk to on 2020/04/19?\", \"Olivia, Kinsley, Nora\"], [\"Did I talk to Olivia, Kinsley, Nora on 2020/04/19?\", \"yes\"], [\"Did I talk to anyone on 2020/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/20\": {\"dinner\": {\"eid\": \"e15657\", \"logical_representation\": [\"2020/04/20\", \"dinner\", \"sandwich\", \"Avery\"], \"text_template_based\": \"I had sandwich for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/04/20?\", \"Avery\"], [\"what did I eat for dinner on 2020/04/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/04/21\": {\"lunch\": {\"eid\": \"e15658\", \"logical_representation\": [\"2020/04/21\", \"lunch\", \"steak\", \"Avery, Claire, Layla, Hazel, Rylee\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/04/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15659\", \"logical_representation\": [\"2020/04/21\", \"Layla\", \"late in the evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Layla for 19 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2020/04/21?\", \"19 minutes\"], [\"who did I talk to on 2020/04/21?\", \"Layla\"], [\"Did I talk to Layla on 2020/04/21?\", \"yes\"], [\"Did I talk to anyone on 2020/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/23\": {\"breakfast\": {\"eid\": \"e15663\", \"logical_representation\": [\"2020/04/23\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/04/23?\", \"Carter\"], [\"what did I eat for breakfast on 2020/04/23\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15664\", \"logical_representation\": [\"2020/04/23\", \"lunch\", \"indian food\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/04/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15665\", \"logical_representation\": [\"2020/04/23\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/04/23?\", \"35 minutes\"], [\"what did I read on 2020/04/23?\", \"a book\"], [\"Did I read on 2020/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15666\", \"logical_representation\": [\"2020/04/23\", \"a documentary\", \"24 minutes\"], \"text_template_based\": \"I watched a documentary for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/04/23?\", \"24 minutes\"], [\"what did I watch on tv on 2020/04/23?\", \"a documentary\"], [\"Did I watch tv on 2020/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/24\": {\"exercise\": {\"eid\": \"e15667\", \"logical_representation\": [\"2020/04/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/04/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15668\", \"logical_representation\": [\"2020/04/24\", \"breakfast\", \"oatmeal\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/04/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15669\", \"logical_representation\": [\"2020/04/24\", \"lunch\", \"steak\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Kayden, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/04/24?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2020/04/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15670\", \"logical_representation\": [\"2020/04/24\", \"Kinsley, Nevaeh, Lydia, Piper\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh, Lydia, Piper for 39 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Lydia, Piper during lunch hours on 2020/04/24?\", \"39 minutes\"], [\"who did I talk to on 2020/04/24?\", \"Kinsley, Nevaeh, Lydia, Piper\"], [\"Did I talk to Kinsley, Nevaeh, Lydia, Piper on 2020/04/24?\", \"yes\"], [\"Did I talk to anyone on 2020/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15671\", \"logical_representation\": [\"2020/04/24\", \"Kinsley, Piper, Piper\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Kinsley, Piper, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Piper in the early afternoon on 2020/04/24?\", \"46 minutes\"], [\"who did I talk to on 2020/04/24?\", \"Kinsley, Piper, Piper\"], [\"Did I talk to Kinsley, Piper, Piper on 2020/04/24?\", \"yes\"], [\"Did I talk to anyone on 2020/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/26\": {\"exercise\": {\"eid\": \"e15678\", \"logical_representation\": [\"2020/04/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/04/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15679\", \"logical_representation\": [\"2020/04/26\", \"dinner\", \"pasta\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15680\", \"logical_representation\": [\"2020/04/26\", \"Claire, Avery, Eva, Lydia\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I talked to Claire, Avery, Eva, Lydia for 27 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Eva, Lydia during lunch hours on 2020/04/26?\", \"27 minutes\"], [\"who did I talk to on 2020/04/26?\", \"Claire, Avery, Eva, Lydia\"], [\"Did I talk to Claire, Avery, Eva, Lydia on 2020/04/26?\", \"yes\"], [\"Did I talk to anyone on 2020/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15681\", \"logical_representation\": [\"2020/04/26\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/04/26?\", \"9 minutes\"], [\"what did I watch on tv on 2020/04/26?\", \"a documentary\"], [\"Did I watch tv on 2020/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/27\": {\"exercise\": {\"eid\": \"e15682\", \"logical_representation\": [\"2020/04/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/04/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15683\", \"logical_representation\": [\"2020/04/27\", \"Nevaeh, Hazel, Piper, Eva\", \"in the morning\", \"18 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Hazel, Piper, Eva for 18 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Piper, Eva in the morning on 2020/04/27?\", \"18 minutes\"], [\"who did I talk to on 2020/04/27?\", \"Nevaeh, Hazel, Piper, Eva\"], [\"Did I talk to Nevaeh, Hazel, Piper, Eva on 2020/04/27?\", \"yes\"], [\"Did I talk to anyone on 2020/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/28\": {\"exercise\": {\"eid\": \"e15684\", \"logical_representation\": [\"2020/04/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/04/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15685\", \"logical_representation\": [\"2020/04/28\", \"breakfast\", \"oatmeal\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/04/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15686\", \"logical_representation\": [\"2020/04/28\", \"Nevaeh, Layla, Piper\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Nevaeh, Layla, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Piper in the early evening on 2020/04/28?\", \"17 minutes\"], [\"who did I talk to on 2020/04/28?\", \"Nevaeh, Layla, Piper\"], [\"Did I talk to Nevaeh, Layla, Piper on 2020/04/28?\", \"yes\"], [\"Did I talk to anyone on 2020/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/30\": {\"exercise\": {\"eid\": \"e15691\", \"logical_representation\": [\"2020/04/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/04/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15692\", \"logical_representation\": [\"2020/04/30\", \"dinner\", \"pasta\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had pasta for dinner with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/04/30?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2020/04/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15693\", \"logical_representation\": [\"2020/04/30\", \"Lydia\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the late afternoon on 2020/04/30?\", \"5 minutes\"], [\"who did I talk to on 2020/04/30?\", \"Lydia\"], [\"Did I talk to Lydia on 2020/04/30?\", \"yes\"], [\"Did I talk to anyone on 2020/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/01\": {\"exercise\": {\"eid\": \"e15694\", \"logical_representation\": [\"2020/05/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/05/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15695\", \"logical_representation\": [\"2020/05/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Avery\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/05/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15696\", \"logical_representation\": [\"2020/05/01\", \"dinner\", \"sandwich\", \"Rylee, Kinsley, Piper, Layla, Nevaeh, Eva, Olivia\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15697\", \"logical_representation\": [\"2020/05/01\", \"Lydia, Piper, Claire\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Lydia, Piper, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Claire in the late afternoon on 2020/05/01?\", \"27 minutes\"], [\"who did I talk to on 2020/05/01?\", \"Lydia, Piper, Claire\"], [\"Did I talk to Lydia, Piper, Claire on 2020/05/01?\", \"yes\"], [\"Did I talk to anyone on 2020/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15698\", \"logical_representation\": [\"2020/05/01\", \"a tv series\", \"53 minutes\"], \"text_template_based\": \"I watched a tv series for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/01?\", \"53 minutes\"], [\"what did I watch on tv on 2020/05/01?\", \"a tv series\"], [\"Did I watch tv on 2020/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/02\": {\"breakfast\": {\"eid\": \"e15699\", \"logical_representation\": [\"2020/05/02\", \"breakfast\", \"cereals\", \"Hazel, Kinsley, Piper, Avery, Claire, Nevaeh, Olivia, Eva, Piper\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/05/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15700\", \"logical_representation\": [\"2020/05/02\", \"dinner\", \"indian food\", \"Nevaeh, Hazel, Lydia, Kinsley, Olivia, Claire, Piper, Layla\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/02\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2020/05/04\": {\"exercise\": {\"eid\": \"e15705\", \"logical_representation\": [\"2020/05/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/05/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15706\", \"logical_representation\": [\"2020/05/04\", \"lunch\", \"sushi\", \"Piper, Kinsley, Piper, Rylee, Layla, Olivia, Lydia, Nora, Hazel, Claire\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/05/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15707\", \"logical_representation\": [\"2020/05/04\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/05/04?\", \"16 minutes\"], [\"what did I read on 2020/05/04?\", \"a book\"], [\"Did I read on 2020/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/05\": {\"breakfast\": {\"eid\": \"e15708\", \"logical_representation\": [\"2020/05/05\", \"breakfast\", \"toast and cheese\", \"Willow, Jackson\"], \"text_template_based\": \"I had toast and cheese for breakfast with Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/05/05?\", \"Willow, Jackson\"], [\"what did I eat for breakfast on 2020/05/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15709\", \"logical_representation\": [\"2020/05/05\", \"lunch\", \"chinese food\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had chinese food for lunch with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/05/05?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2020/05/05\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15710\", \"logical_representation\": [\"2020/05/05\", \"dinner\", \"pasta\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15711\", \"logical_representation\": [\"2020/05/05\", \"Piper, Nora\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Piper, Nora for 15 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora in the early afternoon on 2020/05/05?\", \"15 minutes\"], [\"who did I talk to on 2020/05/05?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2020/05/05?\", \"yes\"], [\"Did I talk to anyone on 2020/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/06\": {\"exercise\": {\"eid\": \"e15712\", \"logical_representation\": [\"2020/05/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/05/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15713\", \"logical_representation\": [\"2020/05/06\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/05/06\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15714\", \"logical_representation\": [\"2020/05/06\", \"dinner\", \"fish and chips\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15715\", \"logical_representation\": [\"2020/05/06\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/05/06?\", \"24 minutes\"], [\"what did I read on 2020/05/06?\", \"a book\"], [\"Did I read on 2020/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/07\": {\"dinner\": {\"eid\": \"e15716\", \"logical_representation\": [\"2020/05/07\", \"dinner\", \"fish and chips\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15717\", \"logical_representation\": [\"2020/05/07\", \"Lydia, Eva, Hazel\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Lydia, Eva, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Hazel in the morning on 2020/05/07?\", \"54 minutes\"], [\"who did I talk to on 2020/05/07?\", \"Lydia, Eva, Hazel\"], [\"Did I talk to Lydia, Eva, Hazel on 2020/05/07?\", \"yes\"], [\"Did I talk to anyone on 2020/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15718\", \"logical_representation\": [\"2020/05/07\", \"news\", \"26 minutes\"], \"text_template_based\": \"I watched news for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/07?\", \"26 minutes\"], [\"what did I watch on tv on 2020/05/07?\", \"news\"], [\"Did I watch tv on 2020/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/09\": {\"breakfast\": {\"eid\": \"e15725\", \"logical_representation\": [\"2020/05/09\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/05/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15726\", \"logical_representation\": [\"2020/05/09\", \"dinner\", \"sandwich\", \"Piper, Lydia\"], \"text_template_based\": \"I had dinner with Piper, Lydia. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/05/09?\", \"Piper, Lydia\"], [\"what did I eat for dinner on 2020/05/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/05/10\": {\"exercise\": {\"eid\": \"e15727\", \"logical_representation\": [\"2020/05/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/05/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15728\", \"logical_representation\": [\"2020/05/10\", \"breakfast\", \"cereals\", \"Eva\"], \"text_template_based\": \"I had breakfast with Eva. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/05/10?\", \"Eva\"], [\"what did I eat for breakfast on 2020/05/10\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15729\", \"logical_representation\": [\"2020/05/10\", \"lunch\", \"a burger\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/05/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15730\", \"logical_representation\": [\"2020/05/10\", \"dinner\", \"chinese food\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2020/05/11\": {\"exercise\": {\"eid\": \"e15731\", \"logical_representation\": [\"2020/05/11\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/05/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/11?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15732\", \"logical_representation\": [\"2020/05/11\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Layla, Lydia, Nora, Hazel, Piper, Claire, Kinsley, Avery, Piper, Nevaeh\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Rylee, Layla, Lydia, Nora, Hazel, Piper, Claire, Kinsley, Avery, Piper, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/05/11?\", \"Rylee, Layla, Lydia, Nora, Hazel, Piper, Claire, Kinsley, Avery, Piper, Nevaeh\"], [\"what did I eat for breakfast on 2020/05/11\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15733\", \"logical_representation\": [\"2020/05/11\", \"lunch\", \"fish and chips\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had fish and chips for lunch with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/05/11?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2020/05/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15734\", \"logical_representation\": [\"2020/05/11\", \"Nevaeh, Avery, Rylee\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Avery, Rylee for 6 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Rylee during lunch hours on 2020/05/11?\", \"6 minutes\"], [\"who did I talk to on 2020/05/11?\", \"Nevaeh, Avery, Rylee\"], [\"Did I talk to Nevaeh, Avery, Rylee on 2020/05/11?\", \"yes\"], [\"Did I talk to anyone on 2020/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15735\", \"logical_representation\": [\"2020/05/11\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/05/11?\", \"23 minutes\"], [\"what did I read on 2020/05/11?\", \"news\"], [\"Did I read on 2020/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15736\", \"logical_representation\": [\"2020/05/11\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I watched a documentary for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/11?\", \"39 minutes\"], [\"what did I watch on tv on 2020/05/11?\", \"a documentary\"], [\"Did I watch tv on 2020/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/12\": {\"dinner\": {\"eid\": \"e15737\", \"logical_representation\": [\"2020/05/12\", \"dinner\", \"a burger\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15738\", \"logical_representation\": [\"2020/05/12\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/12?\", \"33 minutes\"], [\"what did I watch on tv on 2020/05/12?\", \"a documentary\"], [\"Did I watch tv on 2020/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/13\": {\"exercise\": {\"eid\": \"e15739\", \"logical_representation\": [\"2020/05/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/05/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2020/05/14\": {\"exercise\": {\"eid\": \"e15740\", \"logical_representation\": [\"2020/05/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/05/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15741\", \"logical_representation\": [\"2020/05/14\", \"breakfast\", \"cereals\", \"Eva, Nora, Hazel, Lydia, Piper\"], \"text_template_based\": \"I had cereals for breakfast with Eva, Nora, Hazel, Lydia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/05/14?\", \"Eva, Nora, Hazel, Lydia, Piper\"], [\"what did I eat for breakfast on 2020/05/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15742\", \"logical_representation\": [\"2020/05/14\", \"dinner\", \"indian food\", \"Layla, Olivia\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15743\", \"logical_representation\": [\"2020/05/14\", \"Claire, Rylee\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Claire, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee in the morning on 2020/05/14?\", \"48 minutes\"], [\"who did I talk to on 2020/05/14?\", \"Claire, Rylee\"], [\"Did I talk to Claire, Rylee on 2020/05/14?\", \"yes\"], [\"Did I talk to anyone on 2020/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15744\", \"logical_representation\": [\"2020/05/14\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/14?\", \"29 minutes\"], [\"what did I watch on tv on 2020/05/14?\", \"a movie\"], [\"Did I watch tv on 2020/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/16\": {\"dinner\": {\"eid\": \"e15748\", \"logical_representation\": [\"2020/05/16\", \"dinner\", \"sushi\", \"Olivia, Lydia, Claire, Eva, Avery, Hazel, Kinsley, Piper\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15749\", \"logical_representation\": [\"2020/05/16\", \"Piper, Eva, Layla\", \"in the late afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Layla for 16 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Layla in the late afternoon on 2020/05/16?\", \"16 minutes\"], [\"who did I talk to on 2020/05/16?\", \"Piper, Eva, Layla\"], [\"Did I talk to Piper, Eva, Layla on 2020/05/16?\", \"yes\"], [\"Did I talk to anyone on 2020/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15750\", \"logical_representation\": [\"2020/05/16\", \"Nora, Eva, Hazel\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Nora, Eva, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Hazel late in the evening on 2020/05/16?\", \"46 minutes\"], [\"who did I talk to on 2020/05/16?\", \"Nora, Eva, Hazel\"], [\"Did I talk to Nora, Eva, Hazel on 2020/05/16?\", \"yes\"], [\"Did I talk to anyone on 2020/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/18\": {\"breakfast\": {\"eid\": \"e15757\", \"logical_representation\": [\"2020/05/18\", \"breakfast\", \"pancakes\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Kayden, Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/05/18?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for breakfast on 2020/05/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15758\", \"logical_representation\": [\"2020/05/18\", \"lunch\", \"sandwich\", \"Eva, Piper, Kinsley, Claire, Piper, Olivia, Nevaeh, Lydia, Rylee, Hazel, Layla, Avery\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/05/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15759\", \"logical_representation\": [\"2020/05/18\", \"Nora, Claire\", \"late in the evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Nora, Claire for 35 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire late in the evening on 2020/05/18?\", \"35 minutes\"], [\"who did I talk to on 2020/05/18?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2020/05/18?\", \"yes\"], [\"Did I talk to anyone on 2020/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15760\", \"logical_representation\": [\"2020/05/18\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/05/18?\", \"21 minutes\"], [\"what did I read on 2020/05/18?\", \"social media\"], [\"Did I read on 2020/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15761\", \"logical_representation\": [\"2020/05/18\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/18?\", \"41 minutes\"], [\"what did I watch on tv on 2020/05/18?\", \"a movie\"], [\"Did I watch tv on 2020/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/20\": {\"exercise\": {\"eid\": \"e15762\", \"logical_representation\": [\"2020/05/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/05/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15763\", \"logical_representation\": [\"2020/05/20\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Kayden\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/05/20?\", \"Emily, Kayden\"], [\"what did I eat for breakfast on 2020/05/20\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15764\", \"logical_representation\": [\"2020/05/20\", \"Nevaeh, Piper, Kinsley\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Nevaeh, Piper, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Kinsley in the morning on 2020/05/20?\", \"55 minutes\"], [\"who did I talk to on 2020/05/20?\", \"Nevaeh, Piper, Kinsley\"], [\"Did I talk to Nevaeh, Piper, Kinsley on 2020/05/20?\", \"yes\"], [\"Did I talk to anyone on 2020/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15765\", \"logical_representation\": [\"2020/05/20\", \"social media\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/05/20?\", \"41 minutes\"], [\"what did I read on 2020/05/20?\", \"social media\"], [\"Did I read on 2020/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/22\": {\"exercise\": {\"eid\": \"e15769\", \"logical_representation\": [\"2020/05/22\", \"running\"], \"text_template_based\": \"I did running on 2020/05/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15770\", \"logical_representation\": [\"2020/05/22\", \"breakfast\", \"oatmeal\", \"Piper, Olivia, Eva, Claire, Rylee, Kinsley, Avery, Hazel, Lydia, Piper, Nora, Nevaeh\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/05/22\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15771\", \"logical_representation\": [\"2020/05/22\", \"dinner\", \"sandwich\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Kayden, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/05/22?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2020/05/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15772\", \"logical_representation\": [\"2020/05/22\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/22?\", \"54 minutes\"], [\"what did I watch on tv on 2020/05/22?\", \"a tv series\"], [\"Did I watch tv on 2020/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/23\": {\"lunch\": {\"eid\": \"e15773\", \"logical_representation\": [\"2020/05/23\", \"lunch\", \"steak\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/05/23?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2020/05/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15774\", \"logical_representation\": [\"2020/05/23\", \"dinner\", \"sushi\", \"Jackson\"], \"text_template_based\": \"I had dinner with Jackson. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/05/23?\", \"Jackson\"], [\"what did I eat for dinner on 2020/05/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15775\", \"logical_representation\": [\"2020/05/23\", \"Rylee, Piper\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Rylee, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper in the late afternoon on 2020/05/23?\", \"50 minutes\"], [\"who did I talk to on 2020/05/23?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2020/05/23?\", \"yes\"], [\"Did I talk to anyone on 2020/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15776\", \"logical_representation\": [\"2020/05/23\", \"Lydia, Hazel\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Lydia, Hazel for 15 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel in the early evening on 2020/05/23?\", \"15 minutes\"], [\"who did I talk to on 2020/05/23?\", \"Lydia, Hazel\"], [\"Did I talk to Lydia, Hazel on 2020/05/23?\", \"yes\"], [\"Did I talk to anyone on 2020/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15777\", \"logical_representation\": [\"2020/05/23\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/05/23?\", \"29 minutes\"], [\"what did I read on 2020/05/23?\", \"a book\"], [\"Did I read on 2020/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15778\", \"logical_representation\": [\"2020/05/23\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I watched a tv series for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/23?\", \"47 minutes\"], [\"what did I watch on tv on 2020/05/23?\", \"a tv series\"], [\"Did I watch tv on 2020/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/24\": {\"chat0\": {\"eid\": \"e15779\", \"logical_representation\": [\"2020/05/24\", \"Eva, Piper\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I talked to Eva, Piper for 42 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper during lunch hours on 2020/05/24?\", \"42 minutes\"], [\"who did I talk to on 2020/05/24?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2020/05/24?\", \"yes\"], [\"Did I talk to anyone on 2020/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15780\", \"logical_representation\": [\"2020/05/24\", \"news\", \"31 minutes\"], \"text_template_based\": \"I watched news for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/24?\", \"31 minutes\"], [\"what did I watch on tv on 2020/05/24?\", \"news\"], [\"Did I watch tv on 2020/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/25\": {\"lunch\": {\"eid\": \"e15781\", \"logical_representation\": [\"2020/05/25\", \"lunch\", \"indian food\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/05/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15782\", \"logical_representation\": [\"2020/05/25\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/25?\", \"21 minutes\"], [\"what did I watch on tv on 2020/05/25?\", \"a movie\"], [\"Did I watch tv on 2020/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/26\": {\"exercise\": {\"eid\": \"e15783\", \"logical_representation\": [\"2020/05/26\", \"biking\"], \"text_template_based\": \"I did biking on 2020/05/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15784\", \"logical_representation\": [\"2020/05/26\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/05/26?\", \"Emily\"], [\"what did I eat for breakfast on 2020/05/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15785\", \"logical_representation\": [\"2020/05/26\", \"lunch\", \"a burger\", \"Hazel, Lydia, Piper, Nora, Layla, Claire, Piper\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/05/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15786\", \"logical_representation\": [\"2020/05/26\", \"Nevaeh, Layla, Rylee\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Layla, Rylee for 40 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Rylee in the late afternoon on 2020/05/26?\", \"40 minutes\"], [\"who did I talk to on 2020/05/26?\", \"Nevaeh, Layla, Rylee\"], [\"Did I talk to Nevaeh, Layla, Rylee on 2020/05/26?\", \"yes\"], [\"Did I talk to anyone on 2020/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/27\": {\"lunch\": {\"eid\": \"e15787\", \"logical_representation\": [\"2020/05/27\", \"lunch\", \"fish and chips\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I had lunch with Avery, Willow, Jackson. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/05/27?\", \"Avery, Willow, Jackson\"], [\"what did I eat for lunch on 2020/05/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2020/05/28\": {\"exercise\": {\"eid\": \"e15788\", \"logical_representation\": [\"2020/05/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/05/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15789\", \"logical_representation\": [\"2020/05/28\", \"Piper, Layla\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Piper, Layla for 28 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla in the late afternoon on 2020/05/28?\", \"28 minutes\"], [\"who did I talk to on 2020/05/28?\", \"Piper, Layla\"], [\"Did I talk to Piper, Layla on 2020/05/28?\", \"yes\"], [\"Did I talk to anyone on 2020/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15790\", \"logical_representation\": [\"2020/05/28\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/28?\", \"15 minutes\"], [\"what did I watch on tv on 2020/05/28?\", \"news\"], [\"Did I watch tv on 2020/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/29\": {\"exercise\": {\"eid\": \"e15791\", \"logical_representation\": [\"2020/05/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/05/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15792\", \"logical_representation\": [\"2020/05/29\", \"lunch\", \"steak\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Andrew, Emily, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/05/29?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for lunch on 2020/05/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15793\", \"logical_representation\": [\"2020/05/29\", \"Nora\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2020/05/29?\", \"28 minutes\"], [\"who did I talk to on 2020/05/29?\", \"Nora\"], [\"Did I talk to Nora on 2020/05/29?\", \"yes\"], [\"Did I talk to anyone on 2020/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/30\": {\"exercise\": {\"eid\": \"e15794\", \"logical_representation\": [\"2020/05/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/05/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15795\", \"logical_representation\": [\"2020/05/30\", \"breakfast\", \"cereals\", \"Eva, Claire, Layla, Kinsley, Piper, Avery, Piper, Nevaeh, Hazel, Nora, Rylee, Lydia, Olivia\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/05/30\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15796\", \"logical_representation\": [\"2020/05/30\", \"lunch\", \"pasta\", \"Avery, Claire, Kinsley\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/05/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15797\", \"logical_representation\": [\"2020/05/30\", \"Claire\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2020/05/30?\", \"37 minutes\"], [\"who did I talk to on 2020/05/30?\", \"Claire\"], [\"Did I talk to Claire on 2020/05/30?\", \"yes\"], [\"Did I talk to anyone on 2020/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15798\", \"logical_representation\": [\"2020/05/30\", \"Nora, Olivia\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia for 23 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia during lunch hours on 2020/05/30?\", \"23 minutes\"], [\"who did I talk to on 2020/05/30?\", \"Nora, Olivia\"], [\"Did I talk to Nora, Olivia on 2020/05/30?\", \"yes\"], [\"Did I talk to anyone on 2020/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15799\", \"logical_representation\": [\"2020/05/30\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/05/30?\", \"39 minutes\"], [\"what did I read on 2020/05/30?\", \"news\"], [\"Did I read on 2020/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/31\": {\"breakfast\": {\"eid\": \"e15800\", \"logical_representation\": [\"2020/05/31\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/05/31\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15801\", \"logical_representation\": [\"2020/05/31\", \"dinner\", \"sushi\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had sushi for dinner with Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/05/31?\", \"Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2020/05/31\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15802\", \"logical_representation\": [\"2020/05/31\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/05/31?\", \"44 minutes\"], [\"what did I read on 2020/05/31?\", \"social media\"], [\"Did I read on 2020/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15803\", \"logical_representation\": [\"2020/05/31\", \"a documentary\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/31?\", \"6 minutes\"], [\"what did I watch on tv on 2020/05/31?\", \"a documentary\"], [\"Did I watch tv on 2020/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/03\": {\"exercise\": {\"eid\": \"e15810\", \"logical_representation\": [\"2020/06/03\", \"biking\"], \"text_template_based\": \"I did biking on 2020/06/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15811\", \"logical_representation\": [\"2020/06/03\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Avery, Nevaeh, Lydia, Piper, Olivia, Eva, Layla, Piper, Rylee, Nora, Hazel\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/06/03\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2020/06/04\": {\"lunch\": {\"eid\": \"e15812\", \"logical_representation\": [\"2020/06/04\", \"lunch\", \"a burger\", \"Willow, Jackson\"], \"text_template_based\": \"I had a burger for lunch with Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/06/04?\", \"Willow, Jackson\"], [\"what did I eat for lunch on 2020/06/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15813\", \"logical_representation\": [\"2020/06/04\", \"dinner\", \"a burger\", \"Lydia, Olivia, Piper, Eva, Avery, Nevaeh, Kinsley\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15814\", \"logical_representation\": [\"2020/06/04\", \"Hazel\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2020/06/04?\", \"29 minutes\"], [\"who did I talk to on 2020/06/04?\", \"Hazel\"], [\"Did I talk to Hazel on 2020/06/04?\", \"yes\"], [\"Did I talk to anyone on 2020/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15815\", \"logical_representation\": [\"2020/06/04\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I watched a documentary for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/04?\", \"13 minutes\"], [\"what did I watch on tv on 2020/06/04?\", \"a documentary\"], [\"Did I watch tv on 2020/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/05\": {\"exercise\": {\"eid\": \"e15816\", \"logical_representation\": [\"2020/06/05\", \"biking\"], \"text_template_based\": \"I did biking on 2020/06/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/05?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15817\", \"logical_representation\": [\"2020/06/05\", \"lunch\", \"steak\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Carter, Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/06/05?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for lunch on 2020/06/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15818\", \"logical_representation\": [\"2020/06/05\", \"Nora, Layla\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I talked to Nora, Layla for 21 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla during lunch hours on 2020/06/05?\", \"21 minutes\"], [\"who did I talk to on 2020/06/05?\", \"Nora, Layla\"], [\"Did I talk to Nora, Layla on 2020/06/05?\", \"yes\"], [\"Did I talk to anyone on 2020/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15819\", \"logical_representation\": [\"2020/06/05\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/06/05?\", \"18 minutes\"], [\"what did I read on 2020/06/05?\", \"news\"], [\"Did I read on 2020/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/06\": {\"exercise\": {\"eid\": \"e15820\", \"logical_representation\": [\"2020/06/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/06/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15821\", \"logical_representation\": [\"2020/06/06\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/06/06?\", \"Emily\"], [\"what did I eat for dinner on 2020/06/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15822\", \"logical_representation\": [\"2020/06/06\", \"Olivia\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early afternoon on 2020/06/06?\", \"34 minutes\"], [\"who did I talk to on 2020/06/06?\", \"Olivia\"], [\"Did I talk to Olivia on 2020/06/06?\", \"yes\"], [\"Did I talk to anyone on 2020/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15823\", \"logical_representation\": [\"2020/06/06\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/06?\", \"42 minutes\"], [\"what did I watch on tv on 2020/06/06?\", \"a documentary\"], [\"Did I watch tv on 2020/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/07\": {\"dinner\": {\"eid\": \"e15824\", \"logical_representation\": [\"2020/06/07\", \"dinner\", \"sushi\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15825\", \"logical_representation\": [\"2020/06/07\", \"Kinsley, Layla, Olivia, Claire\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla, Olivia, Claire for 13 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Olivia, Claire in the morning on 2020/06/07?\", \"13 minutes\"], [\"who did I talk to on 2020/06/07?\", \"Kinsley, Layla, Olivia, Claire\"], [\"Did I talk to Kinsley, Layla, Olivia, Claire on 2020/06/07?\", \"yes\"], [\"Did I talk to anyone on 2020/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15826\", \"logical_representation\": [\"2020/06/07\", \"Piper, Nevaeh, Claire, Kinsley\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Piper, Nevaeh, Claire, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Claire, Kinsley in the early evening on 2020/06/07?\", \"25 minutes\"], [\"who did I talk to on 2020/06/07?\", \"Piper, Nevaeh, Claire, Kinsley\"], [\"Did I talk to Piper, Nevaeh, Claire, Kinsley on 2020/06/07?\", \"yes\"], [\"Did I talk to anyone on 2020/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/09\": {\"exercise\": {\"eid\": \"e15830\", \"logical_representation\": [\"2020/06/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/06/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15831\", \"logical_representation\": [\"2020/06/09\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/06/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15832\", \"logical_representation\": [\"2020/06/09\", \"lunch\", \"steak\", \"Layla, Hazel, Nora, Kinsley, Avery, Piper, Claire\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15833\", \"logical_representation\": [\"2020/06/09\", \"Nevaeh, Piper, Avery\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Avery for 15 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Avery in the late afternoon on 2020/06/09?\", \"15 minutes\"], [\"who did I talk to on 2020/06/09?\", \"Nevaeh, Piper, Avery\"], [\"Did I talk to Nevaeh, Piper, Avery on 2020/06/09?\", \"yes\"], [\"Did I talk to anyone on 2020/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/10\": {\"breakfast\": {\"eid\": \"e15834\", \"logical_representation\": [\"2020/06/10\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/06/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15835\", \"logical_representation\": [\"2020/06/10\", \"dinner\", \"chinese food\", \"Hazel\"], \"text_template_based\": \"I had dinner with Hazel. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/06/10?\", \"Hazel\"], [\"what did I eat for dinner on 2020/06/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15836\", \"logical_representation\": [\"2020/06/10\", \"Piper\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Piper for 51 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2020/06/10?\", \"51 minutes\"], [\"who did I talk to on 2020/06/10?\", \"Piper\"], [\"Did I talk to Piper on 2020/06/10?\", \"yes\"], [\"Did I talk to anyone on 2020/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15837\", \"logical_representation\": [\"2020/06/10\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I watched a movie for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/10?\", \"39 minutes\"], [\"what did I watch on tv on 2020/06/10?\", \"a movie\"], [\"Did I watch tv on 2020/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/11\": {\"breakfast\": {\"eid\": \"e15838\", \"logical_representation\": [\"2020/06/11\", \"breakfast\", \"pancakes\", \"Benjamin\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/06/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15839\", \"logical_representation\": [\"2020/06/11\", \"dinner\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/06/13\": {\"breakfast\": {\"eid\": \"e15845\", \"logical_representation\": [\"2020/06/13\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I had cereals for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/06/13?\", \"Emily\"], [\"what did I eat for breakfast on 2020/06/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15846\", \"logical_representation\": [\"2020/06/13\", \"dinner\", \"sushi\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15847\", \"logical_representation\": [\"2020/06/13\", \"Eva, Avery, Olivia, Lydia\", \"in the early evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Eva, Avery, Olivia, Lydia for 21 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Olivia, Lydia in the early evening on 2020/06/13?\", \"21 minutes\"], [\"who did I talk to on 2020/06/13?\", \"Eva, Avery, Olivia, Lydia\"], [\"Did I talk to Eva, Avery, Olivia, Lydia on 2020/06/13?\", \"yes\"], [\"Did I talk to anyone on 2020/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/14\": {\"dinner\": {\"eid\": \"e15848\", \"logical_representation\": [\"2020/06/14\", \"dinner\", \"steak\", \"Piper, Piper, Olivia\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15849\", \"logical_representation\": [\"2020/06/14\", \"Lydia, Kinsley, Piper\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley, Piper for 42 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Piper in the late afternoon on 2020/06/14?\", \"42 minutes\"], [\"who did I talk to on 2020/06/14?\", \"Lydia, Kinsley, Piper\"], [\"Did I talk to Lydia, Kinsley, Piper on 2020/06/14?\", \"yes\"], [\"Did I talk to anyone on 2020/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15850\", \"logical_representation\": [\"2020/06/14\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/14?\", \"34 minutes\"], [\"what did I watch on tv on 2020/06/14?\", \"news\"], [\"Did I watch tv on 2020/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/16\": {\"lunch\": {\"eid\": \"e15855\", \"logical_representation\": [\"2020/06/16\", \"lunch\", \"steak\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15856\", \"logical_representation\": [\"2020/06/16\", \"Piper, Layla, Eva, Piper\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Piper, Layla, Eva, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Eva, Piper in the early afternoon on 2020/06/16?\", \"21 minutes\"], [\"who did I talk to on 2020/06/16?\", \"Piper, Layla, Eva, Piper\"], [\"Did I talk to Piper, Layla, Eva, Piper on 2020/06/16?\", \"yes\"], [\"Did I talk to anyone on 2020/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15857\", \"logical_representation\": [\"2020/06/16\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/06/16?\", \"27 minutes\"], [\"what did I read on 2020/06/16?\", \"a book\"], [\"Did I read on 2020/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15858\", \"logical_representation\": [\"2020/06/16\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I watched a movie for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/16?\", \"6 minutes\"], [\"what did I watch on tv on 2020/06/16?\", \"a movie\"], [\"Did I watch tv on 2020/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/17\": {\"lunch\": {\"eid\": \"e15859\", \"logical_representation\": [\"2020/06/17\", \"lunch\", \"sushi\", \"Nora, Piper, Piper, Layla, Rylee, Eva, Claire, Olivia\"], \"text_template_based\": \"I had lunch with Nora, Piper, Piper, Layla, Rylee, Eva, Claire, Olivia. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/06/17?\", \"Nora, Piper, Piper, Layla, Rylee, Eva, Claire, Olivia\"], [\"what did I eat for lunch on 2020/06/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15860\", \"logical_representation\": [\"2020/06/17\", \"dinner\", \"fish and chips\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2020/06/18\": {\"lunch\": {\"eid\": \"e15861\", \"logical_representation\": [\"2020/06/18\", \"lunch\", \"sushi\", \"Willow\"], \"text_template_based\": \"I had sushi for lunch with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/06/18?\", \"Willow\"], [\"what did I eat for lunch on 2020/06/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15862\", \"logical_representation\": [\"2020/06/18\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/06/18?\", \"26 minutes\"], [\"what did I read on 2020/06/18?\", \"social media\"], [\"Did I read on 2020/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15863\", \"logical_representation\": [\"2020/06/18\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/18?\", \"39 minutes\"], [\"what did I watch on tv on 2020/06/18?\", \"a tv series\"], [\"Did I watch tv on 2020/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/19\": {\"exercise\": {\"eid\": \"e15864\", \"logical_representation\": [\"2020/06/19\", \"biking\"], \"text_template_based\": \"I did biking on 2020/06/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15865\", \"logical_representation\": [\"2020/06/19\", \"breakfast\", \"cereals\", \"Avery\"], \"text_template_based\": \"I had breakfast with Avery. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/06/19?\", \"Avery\"], [\"what did I eat for breakfast on 2020/06/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15866\", \"logical_representation\": [\"2020/06/19\", \"lunch\", \"pasta\", \"Nevaeh, Claire, Avery, Eva, Nora, Kinsley, Olivia, Piper\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15867\", \"logical_representation\": [\"2020/06/19\", \"Rylee\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Rylee for 39 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee late in the evening on 2020/06/19?\", \"39 minutes\"], [\"who did I talk to on 2020/06/19?\", \"Rylee\"], [\"Did I talk to Rylee on 2020/06/19?\", \"yes\"], [\"Did I talk to anyone on 2020/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15868\", \"logical_representation\": [\"2020/06/19\", \"Lydia\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2020/06/19?\", \"22 minutes\"], [\"who did I talk to on 2020/06/19?\", \"Lydia\"], [\"Did I talk to Lydia on 2020/06/19?\", \"yes\"], [\"Did I talk to anyone on 2020/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15869\", \"logical_representation\": [\"2020/06/19\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/06/19?\", \"23 minutes\"], [\"what did I read on 2020/06/19?\", \"a book\"], [\"Did I read on 2020/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15870\", \"logical_representation\": [\"2020/06/19\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I watched a tv series for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/19?\", \"35 minutes\"], [\"what did I watch on tv on 2020/06/19?\", \"a tv series\"], [\"Did I watch tv on 2020/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/20\": {\"breakfast\": {\"eid\": \"e15871\", \"logical_representation\": [\"2020/06/20\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/06/20?\", \"Emily\"], [\"what did I eat for breakfast on 2020/06/20\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15872\", \"logical_representation\": [\"2020/06/20\", \"lunch\", \"fish and chips\", \"Avery\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15873\", \"logical_representation\": [\"2020/06/20\", \"dinner\", \"chinese food\", \"Benjamin, Willow\"], \"text_template_based\": \"I had dinner with Benjamin, Willow. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/06/20?\", \"Benjamin, Willow\"], [\"what did I eat for dinner on 2020/06/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15874\", \"logical_representation\": [\"2020/06/20\", \"Hazel\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Hazel for 41 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2020/06/20?\", \"41 minutes\"], [\"who did I talk to on 2020/06/20?\", \"Hazel\"], [\"Did I talk to Hazel on 2020/06/20?\", \"yes\"], [\"Did I talk to anyone on 2020/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15875\", \"logical_representation\": [\"2020/06/20\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/06/20?\", \"36 minutes\"], [\"what did I read on 2020/06/20?\", \"a book\"], [\"Did I read on 2020/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/21\": {\"lunch\": {\"eid\": \"e15876\", \"logical_representation\": [\"2020/06/21\", \"lunch\", \"steak\", \"Andrew, Kayden\"], \"text_template_based\": \"I had steak for lunch with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/06/21?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2020/06/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15877\", \"logical_representation\": [\"2020/06/21\", \"Claire, Rylee\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Claire, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee in the early evening on 2020/06/21?\", \"48 minutes\"], [\"who did I talk to on 2020/06/21?\", \"Claire, Rylee\"], [\"Did I talk to Claire, Rylee on 2020/06/21?\", \"yes\"], [\"Did I talk to anyone on 2020/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15878\", \"logical_representation\": [\"2020/06/21\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/21?\", \"48 minutes\"], [\"what did I watch on tv on 2020/06/21?\", \"a tv series\"], [\"Did I watch tv on 2020/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/23\": {\"lunch\": {\"eid\": \"e15881\", \"logical_representation\": [\"2020/06/23\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15882\", \"logical_representation\": [\"2020/06/23\", \"dinner\", \"a burger\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15883\", \"logical_representation\": [\"2020/06/23\", \"news\", \"18 minutes\"], \"text_template_based\": \"I watched news for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/23?\", \"18 minutes\"], [\"what did I watch on tv on 2020/06/23?\", \"news\"], [\"Did I watch tv on 2020/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/24\": {\"breakfast\": {\"eid\": \"e15884\", \"logical_representation\": [\"2020/06/24\", \"breakfast\", \"cereals\", \"Avery, Willow\"], \"text_template_based\": \"I had breakfast with Avery, Willow. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/06/24?\", \"Avery, Willow\"], [\"what did I eat for breakfast on 2020/06/24\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15885\", \"logical_representation\": [\"2020/06/24\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/24\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15886\", \"logical_representation\": [\"2020/06/24\", \"Nora, Piper\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Nora, Piper for 24 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the early afternoon on 2020/06/24?\", \"24 minutes\"], [\"who did I talk to on 2020/06/24?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2020/06/24?\", \"yes\"], [\"Did I talk to anyone on 2020/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15887\", \"logical_representation\": [\"2020/06/24\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/06/24?\", \"36 minutes\"], [\"what did I read on 2020/06/24?\", \"a book\"], [\"Did I read on 2020/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/25\": {\"lunch\": {\"eid\": \"e15888\", \"logical_representation\": [\"2020/06/25\", \"lunch\", \"a burger\", \"Jackson\"], \"text_template_based\": \"I had a burger for lunch with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/06/25?\", \"Jackson\"], [\"what did I eat for lunch on 2020/06/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15889\", \"logical_representation\": [\"2020/06/25\", \"dinner\", \"tacos\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/25\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15890\", \"logical_representation\": [\"2020/06/25\", \"Olivia, Nevaeh, Claire, Hazel\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Olivia, Nevaeh, Claire, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh, Claire, Hazel in the morning on 2020/06/25?\", \"39 minutes\"], [\"who did I talk to on 2020/06/25?\", \"Olivia, Nevaeh, Claire, Hazel\"], [\"Did I talk to Olivia, Nevaeh, Claire, Hazel on 2020/06/25?\", \"yes\"], [\"Did I talk to anyone on 2020/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/26\": {\"exercise\": {\"eid\": \"e15891\", \"logical_representation\": [\"2020/06/26\", \"biking\"], \"text_template_based\": \"I did biking on 2020/06/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15892\", \"logical_representation\": [\"2020/06/26\", \"breakfast\", \"oatmeal\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/06/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15893\", \"logical_representation\": [\"2020/06/26\", \"lunch\", \"steak\", \"Rylee\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15894\", \"logical_representation\": [\"2020/06/26\", \"dinner\", \"sushi\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15895\", \"logical_representation\": [\"2020/06/26\", \"Eva, Olivia\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Eva, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia late in the evening on 2020/06/26?\", \"55 minutes\"], [\"who did I talk to on 2020/06/26?\", \"Eva, Olivia\"], [\"Did I talk to Eva, Olivia on 2020/06/26?\", \"yes\"], [\"Did I talk to anyone on 2020/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15896\", \"logical_representation\": [\"2020/06/26\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/06/26?\", \"30 minutes\"], [\"what did I read on 2020/06/26?\", \"social media\"], [\"Did I read on 2020/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15897\", \"logical_representation\": [\"2020/06/26\", \"a tv series\", \"38 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\"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/06/29?\", \"Kinsley, Layla, Nora, Hazel\"], [\"what did I eat for lunch on 2020/06/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15905\", \"logical_representation\": [\"2020/06/29\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had a burger for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/06/29?\", \"Emily\"], [\"what did I eat for dinner on 2020/06/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15906\", \"logical_representation\": [\"2020/06/29\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/06/29?\", \"51 minutes\"], [\"what did I read on 2020/06/29?\", \"social media\"], [\"Did I read on 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[\"Did I talk to anyone on 2020/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15912\", \"logical_representation\": [\"2020/07/01\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/07/01?\", \"18 minutes\"], [\"what did I read on 2020/07/01?\", \"a book\"], [\"Did I read on 2020/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15913\", \"logical_representation\": [\"2020/07/01\", \"a documentary\", \"34 minutes\"], \"text_template_based\": \"I watched a documentary for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/01?\", \"34 minutes\"], [\"what did I watch on tv on 2020/07/01?\", \"a documentary\"], [\"Did I watch tv on 2020/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/02\": {\"exercise\": {\"eid\": \"e15914\", \"logical_representation\": [\"2020/07/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/07/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15915\", \"logical_representation\": [\"2020/07/02\", \"breakfast\", \"pancakes\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Emily, Andrew, Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/07/02?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for breakfast on 2020/07/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15916\", \"logical_representation\": [\"2020/07/02\", \"lunch\", \"sandwich\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Kayden, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/07/02?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2020/07/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15917\", \"logical_representation\": [\"2020/07/02\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/07/02?\", \"29 minutes\"], [\"what did I read on 2020/07/02?\", \"a book\"], [\"Did I read on 2020/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15918\", \"logical_representation\": [\"2020/07/02\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I watched a documentary for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/02?\", \"35 minutes\"], [\"what did I watch on tv on 2020/07/02?\", \"a documentary\"], [\"Did I watch tv on 2020/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/05\": {\"breakfast\": {\"eid\": \"e15924\", \"logical_representation\": [\"2020/07/05\", \"breakfast\", \"toast and cheese\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/07/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15925\", \"logical_representation\": [\"2020/07/05\", \"dinner\", \"tacos\", \"Eva, Avery, Piper, Lydia, Rylee, Olivia\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15926\", \"logical_representation\": [\"2020/07/05\", \"Eva, Lydia\", \"in the morning\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Eva, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia in the morning on 2020/07/05?\", \"28 minutes\"], [\"who did I talk to on 2020/07/05?\", \"Eva, Lydia\"], [\"Did I talk to Eva, Lydia on 2020/07/05?\", \"yes\"], [\"Did I talk to anyone on 2020/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15927\", \"logical_representation\": [\"2020/07/05\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/07/05?\", \"12 minutes\"], [\"what did I read on 2020/07/05?\", \"news\"], [\"Did I read on 2020/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/07\": {\"breakfast\": {\"eid\": \"e15934\", \"logical_representation\": [\"2020/07/07\", \"breakfast\", \"cereals\", \"Nora, Lydia, Olivia, Kinsley, Layla, Claire, Eva, Avery, Piper, Piper, Nevaeh\"], \"text_template_based\": \"I had cereals for breakfast with Nora, Lydia, Olivia, Kinsley, Layla, Claire, Eva, Avery, Piper, Piper, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/07/07?\", \"Nora, Lydia, Olivia, Kinsley, Layla, Claire, Eva, Avery, Piper, Piper, Nevaeh\"], [\"what did I eat for breakfast on 2020/07/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15935\", \"logical_representation\": [\"2020/07/07\", \"lunch\", \"tacos\", \"Nora, Nevaeh, Hazel, Olivia, Claire, Kinsley, Avery\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15936\", \"logical_representation\": [\"2020/07/07\", \"dinner\", \"a burger\", \"Olivia, Lydia, Kinsley, Avery, Layla, Rylee, Nora\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e15937\", \"logical_representation\": [\"2020/07/07\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/07/07?\", \"11 minutes\"], [\"what did I read on 2020/07/07?\", \"social media\"], [\"Did I read on 2020/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/08\": {\"chat0\": {\"eid\": \"e15938\", \"logical_representation\": [\"2020/07/08\", \"Avery, Lydia, Rylee, Nora\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Avery, Lydia, Rylee, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Rylee, 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\"lunch\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had a burger for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/07/09?\", \"Andrew\"], [\"what did I eat for lunch on 2020/07/09\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2020/07/10\": {\"chat0\": {\"eid\": \"e15944\", \"logical_representation\": [\"2020/07/10\", \"Eva, Layla, Piper\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I talked to Eva, Layla, Piper for 44 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Piper in the morning on 2020/07/10?\", \"44 minutes\"], [\"who did I talk to on 2020/07/10?\", \"Eva, Layla, Piper\"], [\"Did I talk to Eva, Layla, Piper on 2020/07/10?\", \"yes\"], [\"Did I talk to anyone on 2020/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15945\", \"logical_representation\": [\"2020/07/10\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/07/10?\", \"44 minutes\"], [\"what did I read on 2020/07/10?\", \"a book\"], [\"Did I read on 2020/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15946\", \"logical_representation\": [\"2020/07/10\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I watched a movie for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/10?\", \"46 minutes\"], [\"what did I watch on tv on 2020/07/10?\", \"a movie\"], [\"Did I watch tv on 2020/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/11\": {\"dinner\": {\"eid\": \"e15947\", \"logical_representation\": [\"2020/07/11\", \"dinner\", \"a burger\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15948\", \"logical_representation\": [\"2020/07/11\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/07/11?\", \"19 minutes\"], [\"what did I read on 2020/07/11?\", \"a book\"], [\"Did I read on 2020/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/13\": {\"exercise\": {\"eid\": \"e15954\", \"logical_representation\": [\"2020/07/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/07/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15955\", \"logical_representation\": [\"2020/07/13\", \"lunch\", \"sushi\", \"Olivia, Eva, Lydia, Kinsley, Avery, Claire, Rylee, Hazel, Piper\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15956\", \"logical_representation\": [\"2020/07/13\", \"dinner\", \"steak\", \"Olivia, Kinsley, Layla, Eva, Nevaeh\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15957\", \"logical_representation\": [\"2020/07/13\", \"Kinsley, Nevaeh\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Kinsley, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh in the late afternoon on 2020/07/13?\", \"26 minutes\"], [\"who did I talk to on 2020/07/13?\", \"Kinsley, Nevaeh\"], [\"Did I talk to Kinsley, Nevaeh on 2020/07/13?\", \"yes\"], [\"Did I talk to anyone on 2020/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15958\", \"logical_representation\": [\"2020/07/13\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/13?\", \"10 minutes\"], [\"what did I watch on tv on 2020/07/13?\", \"a documentary\"], [\"Did I watch tv on 2020/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/15\": {\"exercise\": {\"eid\": \"e15964\", \"logical_representation\": [\"2020/07/15\", \"biking\"], \"text_template_based\": \"I did biking on 2020/07/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15965\", \"logical_representation\": [\"2020/07/15\", \"lunch\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15966\", \"logical_representation\": [\"2020/07/15\", \"dinner\", \"steak\", \"Layla, Avery, Piper, Eva\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15967\", \"logical_representation\": [\"2020/07/15\", \"Layla, Piper, Nevaeh, Lydia\", \"during lunch hours\", \"10 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Nevaeh, Lydia for 10 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Nevaeh, Lydia during lunch hours on 2020/07/15?\", \"10 minutes\"], [\"who did I talk to on 2020/07/15?\", \"Layla, Piper, Nevaeh, Lydia\"], [\"Did I talk to Layla, Piper, Nevaeh, Lydia on 2020/07/15?\", \"yes\"], [\"Did I talk to anyone on 2020/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15968\", \"logical_representation\": [\"2020/07/15\", \"Piper, Hazel, Eva\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Piper, Hazel, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Eva late in the evening on 2020/07/15?\", \"28 minutes\"], [\"who did I talk to on 2020/07/15?\", \"Piper, Hazel, Eva\"], [\"Did I talk to Piper, Hazel, Eva on 2020/07/15?\", \"yes\"], [\"Did I talk to anyone on 2020/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15969\", \"logical_representation\": [\"2020/07/15\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/07/15?\", \"44 minutes\"], [\"what did I read on 2020/07/15?\", \"a book\"], [\"Did I read on 2020/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/16\": {\"breakfast\": {\"eid\": \"e15970\", \"logical_representation\": [\"2020/07/16\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden, Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/07/16?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for breakfast on 2020/07/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15971\", \"logical_representation\": [\"2020/07/16\", \"lunch\", \"fish and chips\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15972\", \"logical_representation\": [\"2020/07/16\", \"dinner\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had indian food for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/07/16?\", \"Emily\"], [\"what did I eat for dinner on 2020/07/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15973\", \"logical_representation\": [\"2020/07/16\", \"Avery, Piper, Hazel, Layla\", \"in the morning\", \"18 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Hazel, Layla for 18 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Hazel, Layla in the morning on 2020/07/16?\", \"18 minutes\"], [\"who did I talk to on 2020/07/16?\", \"Avery, Piper, Hazel, Layla\"], [\"Did I talk to Avery, Piper, Hazel, Layla on 2020/07/16?\", \"yes\"], [\"Did I talk to anyone on 2020/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/17\": {\"chat0\": {\"eid\": \"e15974\", \"logical_representation\": [\"2020/07/17\", \"Nevaeh\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 7 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh during lunch hours on 2020/07/17?\", \"7 minutes\"], [\"who did I talk to on 2020/07/17?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2020/07/17?\", \"yes\"], [\"Did I talk to anyone on 2020/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15975\", \"logical_representation\": [\"2020/07/17\", \"Piper, Claire, Layla\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Layla for 53 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Layla in the early evening on 2020/07/17?\", \"53 minutes\"], [\"who did I talk to on 2020/07/17?\", \"Piper, Claire, Layla\"], [\"Did I talk to Piper, Claire, Layla on 2020/07/17?\", \"yes\"], [\"Did I talk to anyone on 2020/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15976\", \"logical_representation\": [\"2020/07/17\", \"a documentary\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/17?\", \"45 minutes\"], [\"what did I watch on tv on 2020/07/17?\", \"a documentary\"], [\"Did I watch tv on 2020/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/18\": {\"breakfast\": {\"eid\": \"e15977\", \"logical_representation\": [\"2020/07/18\", \"breakfast\", \"peanut-butter-jam\", \"Avery\"], \"text_template_based\": \"I had breakfast with Avery. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/07/18?\", \"Avery\"], [\"what did I eat for breakfast on 2020/07/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e15978\", \"logical_representation\": [\"2020/07/18\", \"lunch\", \"indian food\", \"Nora, Rylee, Piper, Lydia, Eva, Claire, Olivia, Layla, Nevaeh, Piper, Hazel, Kinsley\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15979\", \"logical_representation\": [\"2020/07/18\", \"dinner\", \"chinese food\", \"Layla, Piper, Hazel, Piper\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15980\", \"logical_representation\": [\"2020/07/18\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/07/18?\", \"34 minutes\"], [\"what did I read on 2020/07/18?\", \"news\"], [\"Did I read on 2020/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15981\", \"logical_representation\": [\"2020/07/18\", \"a documentary\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/18?\", \"38 minutes\"], [\"what did I watch on tv on 2020/07/18?\", \"a documentary\"], [\"Did I watch tv on 2020/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/19\": {\"exercise\": {\"eid\": \"e15982\", \"logical_representation\": [\"2020/07/19\", \"biking\"], \"text_template_based\": \"I did biking on 2020/07/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e15983\", \"logical_representation\": [\"2020/07/19\", \"breakfast\", \"toast and cheese\", \"Lydia, Nora, Claire, Avery, Kinsley, Piper, Nevaeh, Hazel, Eva, Piper\"], \"text_template_based\": \"I had breakfast with Lydia, Nora, Claire, Avery, Kinsley, Piper, Nevaeh, Hazel, Eva, Piper. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/07/19?\", \"Lydia, Nora, Claire, Avery, Kinsley, Piper, Nevaeh, Hazel, Eva, Piper\"], [\"what did I eat for breakfast on 2020/07/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e15984\", \"logical_representation\": [\"2020/07/19\", \"Hazel, Kinsley, Piper, Layla\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Hazel, Kinsley, Piper, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley, Piper, Layla in the morning on 2020/07/19?\", \"40 minutes\"], [\"who did I talk to on 2020/07/19?\", \"Hazel, Kinsley, Piper, Layla\"], [\"Did I talk to Hazel, Kinsley, Piper, Layla on 2020/07/19?\", \"yes\"], [\"Did I talk to anyone on 2020/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e15985\", \"logical_representation\": [\"2020/07/19\", \"news\", \"30 minutes\"], \"text_template_based\": \"I watched news for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/19?\", \"30 minutes\"], [\"what did I watch on tv on 2020/07/19?\", \"news\"], [\"Did I watch tv on 2020/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/21\": {\"exercise\": {\"eid\": \"e15990\", \"logical_representation\": [\"2020/07/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15991\", \"logical_representation\": [\"2020/07/21\", \"dinner\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e15992\", \"logical_representation\": [\"2020/07/21\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/07/21?\", \"27 minutes\"], [\"what did I read on 2020/07/21?\", \"news\"], [\"Did I read on 2020/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/23\": {\"watch tv\": {\"eid\": \"e15996\", \"logical_representation\": [\"2020/07/23\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/23?\", \"23 minutes\"], [\"what did I watch on tv on 2020/07/23?\", \"a movie\"], [\"Did I watch tv on 2020/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/24\": {\"breakfast\": {\"eid\": \"e15997\", \"logical_representation\": [\"2020/07/24\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had cereals for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/07/24?\", \"Carter\"], [\"what did I eat for breakfast on 2020/07/24\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e15998\", \"logical_representation\": [\"2020/07/24\", \"dinner\", \"tacos\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e15999\", \"logical_representation\": [\"2020/07/24\", \"Piper\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper for 27 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2020/07/24?\", \"27 minutes\"], [\"who did I talk to on 2020/07/24?\", \"Piper\"], [\"Did I talk to Piper on 2020/07/24?\", \"yes\"], [\"Did I talk to anyone on 2020/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16000\", \"logical_representation\": [\"2020/07/24\", \"a book\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/07/24?\", \"21 minutes\"], [\"what did I read on 2020/07/24?\", \"a book\"], [\"Did I read on 2020/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16001\", \"logical_representation\": [\"2020/07/24\", \"a movie\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/24?\", \"20 minutes\"], [\"what did I watch on tv on 2020/07/24?\", \"a movie\"], [\"Did I watch tv on 2020/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/25\": {\"breakfast\": {\"eid\": \"e16002\", \"logical_representation\": [\"2020/07/25\", \"breakfast\", \"pancakes\", \"Willow\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/07/25\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16003\", \"logical_representation\": [\"2020/07/25\", \"lunch\", \"steak\", \"Kinsley, Avery, Layla, Rylee, Piper, Nevaeh\"], \"text_template_based\": \"I had lunch with Kinsley, Avery, Layla, Rylee, Piper, Nevaeh. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/07/25?\", \"Kinsley, Avery, Layla, Rylee, Piper, Nevaeh\"], [\"what did I eat for lunch on 2020/07/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16004\", \"logical_representation\": [\"2020/07/25\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I watched a movie for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/25?\", \"43 minutes\"], [\"what did I watch on tv on 2020/07/25?\", \"a movie\"], [\"Did I watch tv on 2020/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/26\": {\"exercise\": {\"eid\": \"e16005\", \"logical_representation\": [\"2020/07/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16006\", \"logical_representation\": [\"2020/07/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Nora, Hazel, Layla, Piper, Piper, Claire, Nevaeh, Lydia, Rylee, Olivia, Kinsley\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Eva, Nora, Hazel, Layla, Piper, Piper, Claire, Nevaeh, Lydia, Rylee, Olivia, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/07/26?\", \"Eva, Nora, Hazel, Layla, Piper, Piper, Claire, Nevaeh, Lydia, Rylee, Olivia, Kinsley\"], [\"what did I eat for breakfast on 2020/07/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16007\", \"logical_representation\": [\"2020/07/26\", \"lunch\", \"sandwich\", \"Rylee, Kinsley, Piper, Layla, Olivia\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16008\", \"logical_representation\": [\"2020/07/26\", \"dinner\", \"indian food\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16009\", \"logical_representation\": [\"2020/07/26\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/07/26?\", \"15 minutes\"], [\"what did I read on 2020/07/26?\", \"news\"], [\"Did I read on 2020/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/27\": {\"exercise\": {\"eid\": \"e16010\", \"logical_representation\": [\"2020/07/27\", \"biking\"], \"text_template_based\": \"I did biking on 2020/07/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/27?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16011\", \"logical_representation\": [\"2020/07/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Hazel, Lydia, Claire\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/07/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16012\", \"logical_representation\": [\"2020/07/27\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16013\", \"logical_representation\": [\"2020/07/27\", \"Hazel\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2020/07/27?\", \"9 minutes\"], [\"who did I talk to on 2020/07/27?\", \"Hazel\"], [\"Did I talk to Hazel on 2020/07/27?\", \"yes\"], [\"Did I talk to anyone on 2020/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16014\", \"logical_representation\": [\"2020/07/27\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/07/27?\", \"7 minutes\"], [\"what did I read on 2020/07/27?\", \"social media\"], [\"Did I read on 2020/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16015\", \"logical_representation\": [\"2020/07/27\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/27?\", \"27 minutes\"], [\"what did I watch on tv on 2020/07/27?\", \"a tv series\"], [\"Did I watch tv on 2020/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/28\": {\"lunch\": {\"eid\": \"e16016\", \"logical_representation\": [\"2020/07/28\", \"lunch\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had tacos for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/07/28?\", \"Andrew\"], [\"what did I eat for lunch on 2020/07/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16017\", \"logical_representation\": [\"2020/07/28\", \"dinner\", \"indian food\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16018\", \"logical_representation\": [\"2020/07/28\", \"Nora, Kinsley, Hazel\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Nora, Kinsley, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Hazel during lunch hours on 2020/07/28?\", \"28 minutes\"], [\"who did I talk to on 2020/07/28?\", \"Nora, Kinsley, Hazel\"], [\"Did I talk to Nora, Kinsley, Hazel on 2020/07/28?\", \"yes\"], [\"Did I talk to anyone on 2020/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16019\", \"logical_representation\": [\"2020/07/28\", \"Rylee, Piper\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Rylee, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper in the early afternoon on 2020/07/28?\", \"34 minutes\"], [\"who did I talk to on 2020/07/28?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2020/07/28?\", \"yes\"], [\"Did I talk to anyone on 2020/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16020\", \"logical_representation\": [\"2020/07/28\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/07/28?\", \"32 minutes\"], [\"what did I read on 2020/07/28?\", \"social media\"], [\"Did I read on 2020/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16021\", \"logical_representation\": [\"2020/07/28\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I watched a documentary for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/28?\", \"46 minutes\"], [\"what did I watch on tv on 2020/07/28?\", \"a documentary\"], [\"Did I watch tv on 2020/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/31\": {\"exercise\": {\"eid\": \"e16029\", \"logical_representation\": [\"2020/07/31\", \"running\"], \"text_template_based\": \"I did running on 2020/07/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/31?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16030\", \"logical_representation\": [\"2020/07/31\", \"lunch\", \"fish and chips\", \"Olivia, Piper, Avery, Rylee, Piper, Claire, Nevaeh, Lydia, Eva, Hazel, Kinsley, Layla\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16031\", \"logical_representation\": [\"2020/07/31\", \"dinner\", \"sandwich\", \"Hazel, Rylee\"], \"text_template_based\": \"I had dinner with Hazel, Rylee. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/07/31?\", \"Hazel, Rylee\"], [\"what did I eat for dinner on 2020/07/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16032\", \"logical_representation\": [\"2020/07/31\", \"Hazel, Piper, Eva, Nevaeh\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Eva, Nevaeh for 18 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Eva, Nevaeh during lunch hours on 2020/07/31?\", \"18 minutes\"], [\"who did I talk to on 2020/07/31?\", \"Hazel, Piper, Eva, Nevaeh\"], [\"Did I talk to Hazel, Piper, Eva, Nevaeh on 2020/07/31?\", \"yes\"], [\"Did I talk to anyone on 2020/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/01\": {\"exercise\": {\"eid\": \"e16033\", \"logical_representation\": [\"2020/08/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16034\", \"logical_representation\": [\"2020/08/01\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Kayden, Emily. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/08/01?\", \"Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2020/08/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16035\", \"logical_representation\": [\"2020/08/01\", \"dinner\", \"a burger\", \"Hazel, Claire, Lydia, Olivia, Eva, Kinsley, Piper, Avery, Nora, Rylee\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/01\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2020/08/03\": {\"exercise\": {\"eid\": \"e16040\", \"logical_representation\": [\"2020/08/03\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/08/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/03?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16041\", \"logical_representation\": [\"2020/08/03\", \"Eva, Lydia\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Eva, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia late in the evening on 2020/08/03?\", \"42 minutes\"], [\"who did I talk to on 2020/08/03?\", \"Eva, Lydia\"], [\"Did I talk to Eva, Lydia on 2020/08/03?\", \"yes\"], [\"Did I talk to anyone on 2020/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16042\", \"logical_representation\": [\"2020/08/03\", \"Olivia, Lydia, Piper, Piper\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Olivia, Lydia, Piper, Piper for 12 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia, Piper, Piper in the early evening on 2020/08/03?\", \"12 minutes\"], [\"who did I talk to on 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Claire, Hazel, Olivia, Lydia on 2020/08/06?\", \"yes\"], [\"Did I talk to anyone on 2020/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16053\", \"logical_representation\": [\"2020/08/06\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/08/06?\", \"5 minutes\"], [\"what did I read on 2020/08/06?\", \"a book\"], [\"Did I read on 2020/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16054\", \"logical_representation\": [\"2020/08/06\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I watched a documentary for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/06?\", \"20 minutes\"], [\"what did I watch on tv on 2020/08/06?\", \"a documentary\"], [\"Did I watch tv on 2020/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/07\": {\"exercise\": {\"eid\": \"e16055\", \"logical_representation\": [\"2020/08/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/08/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16056\", \"logical_representation\": [\"2020/08/07\", \"lunch\", \"a burger\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had a burger for lunch with Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/08/07?\", \"Avery, Jackson, Willow\"], [\"what did I eat for lunch on 2020/08/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16057\", \"logical_representation\": [\"2020/08/07\", \"dinner\", \"tacos\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16058\", \"logical_representation\": [\"2020/08/07\", \"Avery, Piper\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Avery, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the early evening on 2020/08/07?\", \"15 minutes\"], [\"who did I talk to on 2020/08/07?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2020/08/07?\", \"yes\"], [\"Did I talk to anyone on 2020/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16059\", \"logical_representation\": [\"2020/08/07\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/08/07?\", \"7 minutes\"], [\"what did I read on 2020/08/07?\", \"social media\"], [\"Did I read on 2020/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/08\": {\"exercise\": {\"eid\": \"e16060\", \"logical_representation\": [\"2020/08/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/08/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16061\", \"logical_representation\": [\"2020/08/08\", \"dinner\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16062\", \"logical_representation\": [\"2020/08/08\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/08/08?\", \"7 minutes\"], [\"what did I read on 2020/08/08?\", \"social media\"], [\"Did I read on 2020/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16063\", \"logical_representation\": [\"2020/08/08\", \"a tv series\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/08?\", \"45 minutes\"], [\"what did I watch on tv on 2020/08/08?\", \"a tv series\"], [\"Did I watch tv on 2020/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/09\": {\"breakfast\": {\"eid\": \"e16064\", \"logical_representation\": [\"2020/08/09\", \"breakfast\", \"oatmeal\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/08/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16065\", \"logical_representation\": [\"2020/08/09\", \"dinner\", \"chinese food\", \"Piper, Layla, Kinsley, Nora\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16066\", \"logical_representation\": [\"2020/08/09\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I watched a movie for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/09?\", \"21 minutes\"], [\"what did I watch on tv on 2020/08/09?\", \"a movie\"], [\"Did I watch tv on 2020/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/10\": {\"exercise\": {\"eid\": \"e16067\", \"logical_representation\": [\"2020/08/10\", \"biking\"], \"text_template_based\": \"I did biking on 2020/08/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16068\", \"logical_representation\": [\"2020/08/10\", \"dinner\", \"indian food\", \"Hazel, Eva, Nora, Olivia, Piper, Nevaeh, Lydia, Piper, Claire, Kinsley, Layla, Rylee\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16069\", \"logical_representation\": [\"2020/08/10\", \"a movie\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/10?\", \"34 minutes\"], [\"what did I watch on tv on 2020/08/10?\", \"a movie\"], [\"Did I watch tv on 2020/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/12\": {\"breakfast\": {\"eid\": \"e16074\", \"logical_representation\": [\"2020/08/12\", \"breakfast\", \"toast and cheese\", \"Emily, Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/08/12?\", \"Emily, Carter\"], [\"what did I eat for breakfast on 2020/08/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16075\", \"logical_representation\": [\"2020/08/12\", \"lunch\", \"pasta\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/08/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16076\", \"logical_representation\": [\"2020/08/12\", \"Eva, Piper, Kinsley, Lydia\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Eva, Piper, Kinsley, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Kinsley, Lydia during lunch hours on 2020/08/12?\", \"53 minutes\"], [\"who did I talk to on 2020/08/12?\", \"Eva, Piper, Kinsley, Lydia\"], [\"Did I talk to Eva, Piper, Kinsley, Lydia on 2020/08/12?\", \"yes\"], [\"Did I talk to anyone on 2020/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16077\", \"logical_representation\": [\"2020/08/12\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/12?\", \"28 minutes\"], [\"what did I watch on tv on 2020/08/12?\", \"a movie\"], [\"Did I watch tv on 2020/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/14\": {\"lunch\": {\"eid\": \"e16082\", \"logical_representation\": [\"2020/08/14\", \"lunch\", \"fish and chips\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/08/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16083\", \"logical_representation\": [\"2020/08/14\", \"dinner\", \"a burger\", \"Nora\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16084\", \"logical_representation\": [\"2020/08/14\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/08/14?\", \"46 minutes\"], [\"what did I read on 2020/08/14?\", \"news\"], [\"Did I read on 2020/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/16\": {\"exercise\": {\"eid\": \"e16091\", \"logical_representation\": [\"2020/08/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/08/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16092\", \"logical_representation\": [\"2020/08/16\", \"breakfast\", \"pancakes\", \"Claire\"], \"text_template_based\": \"I had pancakes for breakfast with Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/08/16?\", \"Claire\"], [\"what did I eat for breakfast on 2020/08/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16093\", \"logical_representation\": [\"2020/08/16\", \"Eva, Nevaeh, Hazel, Rylee\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Eva, Nevaeh, Hazel, Rylee for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Hazel, Rylee in the early afternoon on 2020/08/16?\", \"36 minutes\"], [\"who did I talk to on 2020/08/16?\", \"Eva, Nevaeh, Hazel, Rylee\"], [\"Did I talk to Eva, Nevaeh, Hazel, Rylee on 2020/08/16?\", \"yes\"], [\"Did I talk to anyone on 2020/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16094\", \"logical_representation\": [\"2020/08/16\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I watched a documentary for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/16?\", \"32 minutes\"], [\"what did I watch on tv on 2020/08/16?\", \"a documentary\"], [\"Did I watch tv on 2020/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/17\": {\"lunch\": {\"eid\": \"e16095\", \"logical_representation\": [\"2020/08/17\", \"lunch\", \"sandwich\", \"Lydia, Eva, Piper, Hazel, Olivia\"], \"text_template_based\": \"I had lunch with Lydia, Eva, Piper, Hazel, Olivia. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/08/17?\", \"Lydia, Eva, Piper, Hazel, Olivia\"], [\"what did I eat for lunch on 2020/08/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16096\", \"logical_representation\": [\"2020/08/17\", \"Layla, Rylee, Piper\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Layla, Rylee, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Piper in the morning on 2020/08/17?\", \"30 minutes\"], [\"who did I talk to on 2020/08/17?\", \"Layla, Rylee, Piper\"], [\"Did I talk to Layla, Rylee, Piper on 2020/08/17?\", \"yes\"], [\"Did I talk to anyone on 2020/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16097\", \"logical_representation\": [\"2020/08/17\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/08/17?\", \"38 minutes\"], [\"what did I read on 2020/08/17?\", \"a book\"], [\"Did I read on 2020/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16098\", \"logical_representation\": [\"2020/08/17\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I watched a movie for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/17?\", \"22 minutes\"], [\"what did I watch on tv on 2020/08/17?\", \"a movie\"], [\"Did I watch tv on 2020/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/18\": {\"dinner\": {\"eid\": \"e16099\", \"logical_representation\": [\"2020/08/18\", \"dinner\", \"chinese food\", \"Claire, Layla, Lydia, Avery, Piper, Nora, Rylee, Nevaeh\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16100\", \"logical_representation\": [\"2020/08/18\", \"Claire\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2020/08/18?\", \"21 minutes\"], [\"who did I talk to on 2020/08/18?\", \"Claire\"], [\"Did I talk to Claire on 2020/08/18?\", \"yes\"], [\"Did I talk to anyone on 2020/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/19\": {\"dinner\": {\"eid\": \"e16101\", \"logical_representation\": [\"2020/08/19\", \"dinner\", \"a burger\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16102\", \"logical_representation\": [\"2020/08/19\", \"Rylee\", \"in the morning\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2020/08/19?\", \"10 minutes\"], [\"who did I talk to on 2020/08/19?\", \"Rylee\"], [\"Did I talk to Rylee on 2020/08/19?\", \"yes\"], [\"Did I talk to anyone on 2020/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16103\", \"logical_representation\": [\"2020/08/19\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/19?\", \"32 minutes\"], [\"what did I watch on tv on 2020/08/19?\", \"a movie\"], [\"Did I watch tv on 2020/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/21\": {\"exercise\": {\"eid\": \"e16107\", \"logical_representation\": [\"2020/08/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/08/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16108\", \"logical_representation\": [\"2020/08/21\", \"lunch\", \"fish and chips\", \"Jackson\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/08/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16109\", \"logical_representation\": [\"2020/08/21\", \"Eva\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2020/08/21?\", \"36 minutes\"], [\"who did I talk to on 2020/08/21?\", \"Eva\"], [\"Did I talk to Eva on 2020/08/21?\", \"yes\"], [\"Did I talk to anyone on 2020/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16110\", \"logical_representation\": [\"2020/08/21\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/08/21?\", \"47 minutes\"], [\"what did I read on 2020/08/21?\", \"a book\"], [\"Did I read on 2020/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/22\": {\"exercise\": {\"eid\": \"e16111\", \"logical_representation\": [\"2020/08/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/08/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16112\", \"logical_representation\": [\"2020/08/22\", \"Piper, Lydia, Hazel, Avery\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Piper, Lydia, Hazel, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Hazel, Avery in the early evening on 2020/08/22?\", \"27 minutes\"], [\"who did I talk to on 2020/08/22?\", \"Piper, Lydia, Hazel, Avery\"], [\"Did I talk to Piper, Lydia, Hazel, Avery on 2020/08/22?\", \"yes\"], [\"Did I talk to anyone on 2020/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16113\", \"logical_representation\": [\"2020/08/22\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I watched a documentary for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/22?\", \"16 minutes\"], [\"what did I watch on tv on 2020/08/22?\", \"a documentary\"], [\"Did I watch tv on 2020/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/23\": {\"breakfast\": {\"eid\": \"e16114\", \"logical_representation\": [\"2020/08/23\", \"breakfast\", \"oatmeal\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Kayden, Emily. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/08/23?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2020/08/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16115\", \"logical_representation\": [\"2020/08/23\", \"Lydia, Hazel\", \"late in the evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Lydia, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel late in the evening on 2020/08/23?\", \"51 minutes\"], [\"who did I talk to on 2020/08/23?\", \"Lydia, Hazel\"], [\"Did I talk to Lydia, Hazel on 2020/08/23?\", \"yes\"], [\"Did I talk to anyone on 2020/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16116\", \"logical_representation\": [\"2020/08/23\", \"Kinsley, Lydia\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia for 49 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia in the late afternoon on 2020/08/23?\", \"49 minutes\"], [\"who did I talk to on 2020/08/23?\", \"Kinsley, Lydia\"], [\"Did I talk to Kinsley, Lydia on 2020/08/23?\", \"yes\"], [\"Did I talk to anyone on 2020/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16117\", \"logical_representation\": [\"2020/08/23\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/08/23?\", \"17 minutes\"], [\"what did I read on 2020/08/23?\", \"news\"], [\"Did I read on 2020/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16118\", \"logical_representation\": [\"2020/08/23\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I watched a tv series for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/23?\", \"48 minutes\"], [\"what did I watch on tv on 2020/08/23?\", \"a tv series\"], [\"Did I watch tv on 2020/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/25\": {\"chat0\": {\"eid\": \"e16121\", \"logical_representation\": [\"2020/08/25\", \"Eva\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the late afternoon on 2020/08/25?\", \"51 minutes\"], [\"who did I talk to on 2020/08/25?\", \"Eva\"], [\"Did I talk to Eva on 2020/08/25?\", \"yes\"], [\"Did I talk to anyone on 2020/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16122\", \"logical_representation\": [\"2020/08/25\", \"Claire, Avery, Piper, Kinsley\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Claire, Avery, Piper, Kinsley for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Piper, Kinsley in the early evening on 2020/08/25?\", \"39 minutes\"], [\"who did I talk to on 2020/08/25?\", \"Claire, Avery, Piper, Kinsley\"], [\"Did I talk to Claire, Avery, Piper, Kinsley on 2020/08/25?\", \"yes\"], [\"Did I talk to anyone on 2020/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16123\", \"logical_representation\": [\"2020/08/25\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/08/25?\", \"7 minutes\"], [\"what did I read on 2020/08/25?\", \"social media\"], [\"Did I read on 2020/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16124\", \"logical_representation\": [\"2020/08/25\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I watched a documentary for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/25?\", \"54 minutes\"], [\"what did I watch on tv on 2020/08/25?\", \"a documentary\"], [\"Did I watch tv on 2020/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/28\": {\"exercise\": {\"eid\": \"e16129\", \"logical_representation\": [\"2020/08/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/08/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16130\", \"logical_representation\": [\"2020/08/28\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/08/28\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16131\", \"logical_representation\": [\"2020/08/28\", \"lunch\", \"pasta\", \"Benjamin\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/08/28\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16132\", \"logical_representation\": [\"2020/08/28\", \"Eva, Kinsley, Piper, Lydia\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley, Piper, Lydia for 17 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Piper, Lydia in the early evening on 2020/08/28?\", \"17 minutes\"], [\"who did I talk to on 2020/08/28?\", \"Eva, Kinsley, Piper, Lydia\"], [\"Did I talk to Eva, Kinsley, Piper, Lydia on 2020/08/28?\", \"yes\"], [\"Did I talk to anyone on 2020/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/29\": {\"breakfast\": {\"eid\": \"e16133\", \"logical_representation\": [\"2020/08/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Avery\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/08/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16134\", \"logical_representation\": [\"2020/08/29\", \"lunch\", \"chinese food\", \"Jackson\"], \"text_template_based\": \"I had chinese food for lunch with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/08/29?\", \"Jackson\"], [\"what did I eat for lunch on 2020/08/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16135\", \"logical_representation\": [\"2020/08/29\", \"news\", \"17 minutes\"], \"text_template_based\": \"I watched news for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/29?\", \"17 minutes\"], [\"what did I watch on tv on 2020/08/29?\", \"news\"], [\"Did I watch tv on 2020/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/30\": {\"exercise\": {\"eid\": \"e16136\", \"logical_representation\": [\"2020/08/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/08/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16137\", \"logical_representation\": [\"2020/08/30\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/08/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16138\", \"logical_representation\": [\"2020/08/30\", \"dinner\", \"sandwich\", \"Piper, Olivia, Kinsley, Nevaeh, Layla, Hazel\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16139\", \"logical_representation\": [\"2020/08/30\", \"Avery, Piper, Piper, Hazel\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Piper, Hazel for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Piper, Hazel in the morning on 2020/08/30?\", \"32 minutes\"], [\"who did I talk to on 2020/08/30?\", \"Avery, Piper, Piper, Hazel\"], [\"Did I talk to Avery, Piper, Piper, Hazel on 2020/08/30?\", \"yes\"], [\"Did I talk to anyone on 2020/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16140\", \"logical_representation\": [\"2020/08/30\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/08/30?\", \"20 minutes\"], [\"what did I read on 2020/08/30?\", \"a book\"], [\"Did I read on 2020/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/01\": {\"exercise\": {\"eid\": \"e16146\", \"logical_representation\": [\"2020/09/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/09/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16147\", \"logical_representation\": [\"2020/09/01\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/09/01?\", \"Kayden, Andrew\"], [\"what did I eat for breakfast on 2020/09/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16148\", \"logical_representation\": [\"2020/09/01\", \"dinner\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16149\", \"logical_representation\": [\"2020/09/01\", \"Kinsley\", \"in the morning\", \"25 minutes\"], \"text_template_based\": \"I talked to Kinsley for 25 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the morning on 2020/09/01?\", \"25 minutes\"], [\"who did I talk to on 2020/09/01?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2020/09/01?\", \"yes\"], [\"Did I talk to anyone on 2020/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16150\", \"logical_representation\": [\"2020/09/01\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I watched a documentary for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/01?\", \"40 minutes\"], [\"what did I watch on tv on 2020/09/01?\", \"a documentary\"], [\"Did I watch tv on 2020/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/02\": {\"dinner\": {\"eid\": \"e16151\", \"logical_representation\": [\"2020/09/02\", \"dinner\", \"chinese food\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/09/02?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2020/09/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16152\", \"logical_representation\": [\"2020/09/02\", \"Avery, Claire, Eva\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Avery, Claire, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire, Eva in the morning on 2020/09/02?\", \"26 minutes\"], [\"who did I talk to on 2020/09/02?\", \"Avery, Claire, Eva\"], [\"Did I talk to Avery, Claire, Eva on 2020/09/02?\", \"yes\"], [\"Did I talk to anyone on 2020/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16153\", \"logical_representation\": [\"2020/09/02\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/09/02?\", \"45 minutes\"], [\"what did I read on 2020/09/02?\", \"social media\"], [\"Did I read on 2020/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16154\", \"logical_representation\": [\"2020/09/02\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I watched a tv series for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/02?\", \"35 minutes\"], [\"what did I watch on tv on 2020/09/02?\", \"a tv series\"], [\"Did I watch tv on 2020/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/03\": {\"breakfast\": {\"eid\": \"e16155\", \"logical_representation\": [\"2020/09/03\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/09/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16156\", \"logical_representation\": [\"2020/09/03\", \"lunch\", \"fish and chips\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16157\", \"logical_representation\": [\"2020/09/03\", \"dinner\", \"sandwich\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had dinner with Avery, Jackson, Willow. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/09/03?\", \"Avery, Jackson, Willow\"], [\"what did I eat for dinner on 2020/09/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16158\", \"logical_representation\": [\"2020/09/03\", \"Nevaeh, Avery, Claire\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Nevaeh, Avery, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Claire in the late afternoon on 2020/09/03?\", \"10 minutes\"], [\"who did I talk to on 2020/09/03?\", \"Nevaeh, Avery, Claire\"], [\"Did I talk to Nevaeh, Avery, Claire on 2020/09/03?\", \"yes\"], [\"Did I talk to anyone on 2020/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16159\", \"logical_representation\": [\"2020/09/03\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/09/03?\", \"52 minutes\"], [\"what did I read on 2020/09/03?\", \"a book\"], [\"Did I read on 2020/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16160\", \"logical_representation\": [\"2020/09/03\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/03?\", \"52 minutes\"], [\"what did I watch on tv on 2020/09/03?\", \"news\"], [\"Did I watch tv on 2020/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/04\": {\"breakfast\": {\"eid\": \"e16161\", \"logical_representation\": [\"2020/09/04\", \"breakfast\", \"oatmeal\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Avery, Willow. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/09/04?\", \"Jackson, Avery, Willow\"], [\"what did I eat for breakfast on 2020/09/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16162\", \"logical_representation\": [\"2020/09/04\", \"lunch\", \"pasta\", \"Olivia, Kinsley, Claire, Eva, Piper, Lydia, Layla, Rylee, Hazel\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16163\", \"logical_representation\": [\"2020/09/04\", \"Piper, Hazel\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel for 46 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel in the early afternoon on 2020/09/04?\", \"46 minutes\"], [\"who did I talk to on 2020/09/04?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2020/09/04?\", \"yes\"], [\"Did I talk to anyone on 2020/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16164\", \"logical_representation\": [\"2020/09/04\", \"Layla, Kinsley, Claire, Nevaeh\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Layla, Kinsley, Claire, Nevaeh for 14 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Claire, Nevaeh in the late afternoon on 2020/09/04?\", \"14 minutes\"], [\"who did I talk to on 2020/09/04?\", \"Layla, Kinsley, Claire, Nevaeh\"], [\"Did I talk to Layla, Kinsley, Claire, Nevaeh on 2020/09/04?\", \"yes\"], [\"Did I talk to anyone on 2020/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/06\": {\"chat0\": {\"eid\": \"e16169\", \"logical_representation\": [\"2020/09/06\", \"Nora, Eva, Kinsley, Avery\", \"in the morning\", \"50 minutes\"], \"text_template_based\": \"I talked to Nora, Eva, Kinsley, Avery for 50 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Kinsley, Avery in the morning on 2020/09/06?\", \"50 minutes\"], [\"who did I talk to on 2020/09/06?\", \"Nora, Eva, Kinsley, Avery\"], [\"Did I talk to Nora, Eva, Kinsley, Avery on 2020/09/06?\", \"yes\"], [\"Did I talk to anyone on 2020/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16170\", \"logical_representation\": [\"2020/09/06\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/09/06?\", \"11 minutes\"], [\"what did I read on 2020/09/06?\", \"news\"], [\"Did I read on 2020/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16171\", \"logical_representation\": [\"2020/09/06\", \"a documentary\", \"15 minutes\"], \"text_template_based\": \"I watched a documentary for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/06?\", \"15 minutes\"], [\"what did I watch on tv on 2020/09/06?\", \"a documentary\"], [\"Did I watch tv on 2020/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/07\": {\"breakfast\": {\"eid\": \"e16172\", \"logical_representation\": [\"2020/09/07\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Andrew, Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/09/07?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2020/09/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16173\", \"logical_representation\": [\"2020/09/07\", \"Layla, Olivia, Eva, Claire\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Layla, Olivia, Eva, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia, Eva, Claire during lunch hours on 2020/09/07?\", \"27 minutes\"], [\"who did I talk to on 2020/09/07?\", \"Layla, Olivia, Eva, Claire\"], [\"Did I talk to Layla, Olivia, Eva, Claire on 2020/09/07?\", \"yes\"], [\"Did I talk to anyone on 2020/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16174\", \"logical_representation\": [\"2020/09/07\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/07?\", \"16 minutes\"], [\"what did I watch on tv on 2020/09/07?\", \"a documentary\"], [\"Did I watch tv on 2020/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/08\": {\"exercise\": {\"eid\": \"e16175\", \"logical_representation\": [\"2020/09/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/09/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16176\", \"logical_representation\": [\"2020/09/08\", \"dinner\", \"tacos\", \"Eva, Piper, Lydia, Piper, Rylee, Avery, Hazel, Layla\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16177\", \"logical_representation\": [\"2020/09/08\", \"Avery, Rylee\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Avery, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee in the early evening on 2020/09/08?\", \"42 minutes\"], [\"who did I talk to on 2020/09/08?\", \"Avery, Rylee\"], [\"Did I talk to Avery, Rylee on 2020/09/08?\", \"yes\"], [\"Did I talk to anyone on 2020/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16178\", \"logical_representation\": [\"2020/09/08\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/08?\", \"53 minutes\"], [\"what did I watch on tv on 2020/09/08?\", \"a documentary\"], [\"Did I watch tv on 2020/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/09\": {\"exercise\": {\"eid\": \"e16179\", \"logical_representation\": [\"2020/09/09\", \"biking\"], \"text_template_based\": \"I did biking on 2020/09/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16180\", \"logical_representation\": [\"2020/09/09\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/09/09\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16181\", \"logical_representation\": [\"2020/09/09\", \"lunch\", \"fish and chips\", \"Eva, Hazel, Nevaeh, Lydia, Piper, Piper, Claire, Nora, Avery, Kinsley, Rylee\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16182\", \"logical_representation\": [\"2020/09/09\", \"dinner\", \"a burger\", \"Layla, Rylee, Kinsley, Olivia, Claire, Piper\"], \"text_template_based\": \"I had a burger for dinner with Layla, Rylee, Kinsley, Olivia, Claire, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/09/09?\", \"Layla, Rylee, Kinsley, Olivia, Claire, Piper\"], [\"what did I eat for dinner on 2020/09/09\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2020/09/10\": {\"exercise\": {\"eid\": \"e16183\", \"logical_representation\": [\"2020/09/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/09/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16184\", \"logical_representation\": [\"2020/09/10\", \"breakfast\", \"oatmeal\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/09/10\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16185\", \"logical_representation\": [\"2020/09/10\", \"lunch\", \"pasta\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16186\", \"logical_representation\": [\"2020/09/10\", \"dinner\", \"sushi\", \"Willow\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16187\", \"logical_representation\": [\"2020/09/10\", \"Eva, Avery, Layla\", \"in the morning\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Eva, Avery, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Layla in the morning on 2020/09/10?\", \"23 minutes\"], [\"who did I talk to on 2020/09/10?\", \"Eva, Avery, Layla\"], [\"Did I talk to Eva, Avery, Layla on 2020/09/10?\", \"yes\"], [\"Did I talk to anyone on 2020/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16188\", \"logical_representation\": [\"2020/09/10\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/09/10?\", \"33 minutes\"], [\"what did I read on 2020/09/10?\", \"news\"], [\"Did I read on 2020/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16189\", \"logical_representation\": [\"2020/09/10\", \"a tv series\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/10?\", \"16 minutes\"], [\"what did I watch on tv on 2020/09/10?\", \"a tv series\"], [\"Did I watch tv on 2020/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/11\": {\"breakfast\": {\"eid\": \"e16190\", \"logical_representation\": [\"2020/09/11\", \"breakfast\", \"cereals\", \"Hazel, Eva, Layla\"], \"text_template_based\": \"I had cereals for breakfast with Hazel, Eva, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/09/11?\", \"Hazel, Eva, Layla\"], [\"what did I eat for breakfast on 2020/09/11\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16191\", \"logical_representation\": [\"2020/09/11\", \"lunch\", \"pasta\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16192\", \"logical_representation\": [\"2020/09/11\", \"Nora, Piper, Rylee, Nevaeh\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Nora, Piper, Rylee, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Rylee, Nevaeh in the early evening on 2020/09/11?\", \"49 minutes\"], [\"who did I talk to on 2020/09/11?\", \"Nora, Piper, Rylee, Nevaeh\"], [\"Did I talk to Nora, Piper, Rylee, Nevaeh on 2020/09/11?\", \"yes\"], [\"Did I talk to anyone on 2020/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16193\", \"logical_representation\": [\"2020/09/11\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/09/11?\", \"55 minutes\"], [\"what did I read on 2020/09/11?\", \"a book\"], [\"Did I read on 2020/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/12\": {\"exercise\": {\"eid\": \"e16194\", \"logical_representation\": [\"2020/09/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/09/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16195\", \"logical_representation\": [\"2020/09/12\", \"dinner\", \"sandwich\", \"Nora, Olivia, Avery, Rylee, Piper, Hazel, Claire, Lydia, Nevaeh, Layla, Eva\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16196\", \"logical_representation\": [\"2020/09/12\", \"Nevaeh, Claire, Lydia, Nora\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Nevaeh, Claire, Lydia, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire, Lydia, Nora in the early afternoon on 2020/09/12?\", \"28 minutes\"], [\"who did I talk to on 2020/09/12?\", \"Nevaeh, Claire, Lydia, Nora\"], [\"Did I talk to Nevaeh, Claire, Lydia, Nora on 2020/09/12?\", \"yes\"], [\"Did I talk to anyone on 2020/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/13\": {\"exercise\": {\"eid\": \"e16197\", \"logical_representation\": [\"2020/09/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/09/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16198\", \"logical_representation\": [\"2020/09/13\", \"lunch\", \"chinese food\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16199\", \"logical_representation\": [\"2020/09/13\", \"Nora\", \"during lunch hours\", \"16 minutes\"], \"text_template_based\": \"I talked to Nora for 16 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2020/09/13?\", \"16 minutes\"], [\"who did I talk to on 2020/09/13?\", \"Nora\"], [\"Did I talk to Nora on 2020/09/13?\", \"yes\"], [\"Did I talk to anyone on 2020/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16200\", \"logical_representation\": [\"2020/09/13\", \"a tv series\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/13?\", \"44 minutes\"], [\"what did I watch on tv on 2020/09/13?\", \"a tv series\"], [\"Did I watch tv on 2020/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/15\": {\"lunch\": {\"eid\": \"e16203\", \"logical_representation\": [\"2020/09/15\", \"lunch\", \"sandwich\", \"Eva, Nevaeh, Piper, Lydia, Rylee, Nora, Hazel, Layla\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16204\", \"logical_representation\": [\"2020/09/15\", \"dinner\", \"pasta\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Kayden, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/09/15?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2020/09/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16205\", \"logical_representation\": [\"2020/09/15\", \"Hazel, Piper, Lydia, Nevaeh\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Hazel, Piper, Lydia, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Lydia, Nevaeh in the late afternoon on 2020/09/15?\", \"7 minutes\"], [\"who did I talk to on 2020/09/15?\", \"Hazel, Piper, Lydia, Nevaeh\"], [\"Did I talk to Hazel, Piper, Lydia, Nevaeh on 2020/09/15?\", \"yes\"], [\"Did I talk to anyone on 2020/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16206\", \"logical_representation\": [\"2020/09/15\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/09/15?\", \"39 minutes\"], [\"what did I read on 2020/09/15?\", \"social media\"], [\"Did I read on 2020/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/17\": {\"lunch\": {\"eid\": \"e16210\", \"logical_representation\": [\"2020/09/17\", \"lunch\", \"fish and chips\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16211\", \"logical_representation\": [\"2020/09/17\", \"dinner\", \"pasta\", \"Eva, Layla\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16212\", \"logical_representation\": [\"2020/09/17\", \"Lydia, Olivia, Hazel, Layla\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Lydia, Olivia, Hazel, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Hazel, Layla in the early evening on 2020/09/17?\", \"26 minutes\"], [\"who did I talk to on 2020/09/17?\", \"Lydia, Olivia, Hazel, Layla\"], [\"Did I talk to Lydia, Olivia, Hazel, Layla on 2020/09/17?\", \"yes\"], [\"Did I talk to anyone on 2020/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16213\", \"logical_representation\": [\"2020/09/17\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/09/17?\", \"26 minutes\"], [\"what did I read on 2020/09/17?\", \"a book\"], [\"Did I read on 2020/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/18\": {\"breakfast\": {\"eid\": \"e16214\", \"logical_representation\": [\"2020/09/18\", \"breakfast\", \"pancakes\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/09/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16215\", \"logical_representation\": [\"2020/09/18\", \"dinner\", \"indian food\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16216\", \"logical_representation\": [\"2020/09/18\", \"Lydia, Claire, Nevaeh\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Lydia, Claire, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Nevaeh in the late afternoon on 2020/09/18?\", \"54 minutes\"], [\"who did I talk to on 2020/09/18?\", \"Lydia, Claire, Nevaeh\"], [\"Did I talk to Lydia, Claire, Nevaeh on 2020/09/18?\", \"yes\"], [\"Did I talk to anyone on 2020/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16217\", \"logical_representation\": [\"2020/09/18\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/09/18?\", \"29 minutes\"], [\"what did I read on 2020/09/18?\", \"a book\"], [\"Did I read on 2020/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/19\": {\"chat0\": {\"eid\": \"e16218\", \"logical_representation\": [\"2020/09/19\", \"Rylee, Avery, Layla\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery, Layla for 45 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery, Layla in the late afternoon on 2020/09/19?\", \"45 minutes\"], [\"who did I talk to on 2020/09/19?\", \"Rylee, Avery, Layla\"], [\"Did I talk to Rylee, Avery, Layla on 2020/09/19?\", \"yes\"], [\"Did I talk to anyone on 2020/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/20\": {\"exercise\": {\"eid\": \"e16219\", \"logical_representation\": [\"2020/09/20\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/09/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/20?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16220\", \"logical_representation\": [\"2020/09/20\", \"lunch\", \"indian food\", \"Andrew, Emily\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16221\", \"logical_representation\": [\"2020/09/20\", \"dinner\", \"sandwich\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16222\", \"logical_representation\": [\"2020/09/20\", \"Rylee\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2020/09/20?\", \"36 minutes\"], [\"who did I talk to on 2020/09/20?\", \"Rylee\"], [\"Did I talk to Rylee on 2020/09/20?\", \"yes\"], [\"Did I talk to anyone on 2020/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/21\": {\"lunch\": {\"eid\": \"e16223\", \"logical_representation\": [\"2020/09/21\", \"lunch\", \"indian food\", \"Jackson\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16224\", \"logical_representation\": [\"2020/09/21\", \"Lydia, Avery, Eva\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Lydia, Avery, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Eva during lunch hours on 2020/09/21?\", \"14 minutes\"], [\"who did I talk to on 2020/09/21?\", \"Lydia, Avery, Eva\"], [\"Did I talk to Lydia, Avery, Eva on 2020/09/21?\", \"yes\"], [\"Did I talk to anyone on 2020/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16225\", \"logical_representation\": [\"2020/09/21\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I watched a documentary for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/21?\", \"46 minutes\"], [\"what did I watch on tv on 2020/09/21?\", \"a documentary\"], [\"Did I watch tv on 2020/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/22\": {\"exercise\": {\"eid\": \"e16226\", \"logical_representation\": [\"2020/09/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/09/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16227\", \"logical_representation\": [\"2020/09/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora, Layla, Hazel, Rylee, Claire, Nevaeh, Olivia, Piper, Eva, Avery, Lydia, Kinsley\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/09/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16228\", \"logical_representation\": [\"2020/09/22\", \"lunch\", \"pasta\", \"Nevaeh, Lydia, Piper, Hazel, Piper, Claire, Nora, Layla, Olivia, Kinsley\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16229\", \"logical_representation\": [\"2020/09/22\", \"Kinsley\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I talked to Kinsley for 11 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2020/09/22?\", \"11 minutes\"], [\"who did I talk to on 2020/09/22?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2020/09/22?\", \"yes\"], [\"Did I talk to anyone on 2020/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16230\", \"logical_representation\": [\"2020/09/22\", \"a movie\", \"55 minutes\"], \"text_template_based\": \"I watched a movie for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/22?\", \"55 minutes\"], [\"what did I watch on tv on 2020/09/22?\", \"a movie\"], [\"Did I watch tv on 2020/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/24\": {\"breakfast\": {\"eid\": \"e16236\", \"logical_representation\": [\"2020/09/24\", \"breakfast\", \"cereals\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/09/24\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16237\", \"logical_representation\": [\"2020/09/24\", \"lunch\", \"indian food\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/24\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16238\", \"logical_representation\": [\"2020/09/24\", \"Piper, Rylee\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee for 14 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee during lunch hours on 2020/09/24?\", \"14 minutes\"], [\"who did I talk to on 2020/09/24?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2020/09/24?\", \"yes\"], [\"Did I talk to anyone on 2020/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16239\", \"logical_representation\": [\"2020/09/24\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/09/24?\", \"26 minutes\"], [\"what did I read on 2020/09/24?\", \"a book\"], [\"Did I read on 2020/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/25\": {\"lunch\": {\"eid\": \"e16240\", \"logical_representation\": [\"2020/09/25\", \"lunch\", \"fish and chips\", \"Avery, Claire, Layla, Rylee, Piper, Nora\"], \"text_template_based\": \"I had lunch with Avery, Claire, Layla, Rylee, Piper, Nora. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/09/25?\", \"Avery, Claire, Layla, Rylee, Piper, Nora\"], [\"what did I eat for lunch on 2020/09/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16241\", \"logical_representation\": [\"2020/09/25\", \"dinner\", \"steak\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16242\", \"logical_representation\": [\"2020/09/25\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I watched a movie for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/25?\", \"36 minutes\"], [\"what did I watch on tv on 2020/09/25?\", \"a movie\"], [\"Did I watch tv on 2020/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/26\": {\"exercise\": {\"eid\": \"e16243\", \"logical_representation\": [\"2020/09/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/09/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16244\", \"logical_representation\": [\"2020/09/26\", \"dinner\", \"indian food\", \"Piper, Layla\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16245\", \"logical_representation\": [\"2020/09/26\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/09/26?\", \"21 minutes\"], [\"what did I read on 2020/09/26?\", \"news\"], [\"Did I read on 2020/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/27\": {\"breakfast\": {\"eid\": \"e16246\", \"logical_representation\": [\"2020/09/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/09/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16247\", \"logical_representation\": [\"2020/09/27\", \"lunch\", \"sushi\", \"Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16248\", \"logical_representation\": [\"2020/09/27\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/09/27?\", \"7 minutes\"], [\"what did I read on 2020/09/27?\", \"news\"], [\"Did I read on 2020/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/30\": {\"dinner\": {\"eid\": \"e16256\", \"logical_representation\": [\"2020/09/30\", \"dinner\", \"fish and chips\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Kayden. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/09/30?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for dinner on 2020/09/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16257\", \"logical_representation\": [\"2020/09/30\", \"Kinsley, Eva, Lydia\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva, Lydia for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Lydia in the morning on 2020/09/30?\", \"43 minutes\"], [\"who did I talk to on 2020/09/30?\", \"Kinsley, Eva, Lydia\"], [\"Did I talk to Kinsley, Eva, Lydia on 2020/09/30?\", \"yes\"], [\"Did I talk to anyone on 2020/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16258\", \"logical_representation\": [\"2020/09/30\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/30?\", \"7 minutes\"], [\"what did I watch on tv on 2020/09/30?\", \"a tv series\"], [\"Did I watch tv on 2020/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/01\": {\"breakfast\": {\"eid\": \"e16259\", \"logical_representation\": [\"2020/10/01\", \"breakfast\", \"cereals\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/10/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16260\", \"logical_representation\": [\"2020/10/01\", \"dinner\", \"steak\", \"Carter, Emily\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/10/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16261\", \"logical_representation\": [\"2020/10/01\", \"Piper\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I talked to Piper for 46 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2020/10/01?\", \"46 minutes\"], [\"who did I talk to on 2020/10/01?\", \"Piper\"], [\"Did I talk to Piper on 2020/10/01?\", \"yes\"], [\"Did I talk to anyone on 2020/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/03\": {\"chat0\": {\"eid\": \"e16267\", \"logical_representation\": [\"2020/10/03\", \"Olivia, Nevaeh, Nora\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Olivia, Nevaeh, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh, Nora in the late afternoon on 2020/10/03?\", \"47 minutes\"], [\"who did I talk to on 2020/10/03?\", \"Olivia, Nevaeh, Nora\"], [\"Did I talk to Olivia, Nevaeh, Nora on 2020/10/03?\", \"yes\"], [\"Did I talk to anyone on 2020/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/06\": {\"breakfast\": {\"eid\": \"e16278\", \"logical_representation\": [\"2020/10/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora, Olivia, Lydia\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/10/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16279\", \"logical_representation\": [\"2020/10/06\", \"dinner\", \"fish and chips\", \"Olivia, Hazel, Piper, Claire, Piper, Layla, Nevaeh, Kinsley\"], \"text_template_based\": \"I had fish and chips for dinner with Olivia, Hazel, Piper, Claire, Piper, Layla, Nevaeh, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/10/06?\", \"Olivia, Hazel, Piper, Claire, Piper, Layla, Nevaeh, Kinsley\"], [\"what did I eat for dinner on 2020/10/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2020/10/07\": {\"breakfast\": {\"eid\": \"e16280\", \"logical_representation\": [\"2020/10/07\", \"breakfast\", \"toast and cheese\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/10/07?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2020/10/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16281\", \"logical_representation\": [\"2020/10/07\", \"lunch\", \"indian food\", \"Piper, Lydia, Rylee, Eva, Nora, Avery, Layla\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/10/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16282\", \"logical_representation\": [\"2020/10/07\", \"dinner\", \"steak\", \"Eva, Nevaeh\"], \"text_template_based\": \"I had steak for dinner with Eva, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/10/07?\", \"Eva, Nevaeh\"], [\"what did I eat for dinner on 2020/10/07\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2020/10/08\": {\"dinner\": {\"eid\": \"e16283\", \"logical_representation\": [\"2020/10/08\", \"dinner\", \"pasta\", \"Rylee, Olivia, Hazel, Nevaeh\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/10/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16284\", \"logical_representation\": [\"2020/10/08\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/10/08?\", \"13 minutes\"], [\"what did I read on 2020/10/08?\", \"news\"], [\"Did I read on 2020/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/10\": {\"exercise\": {\"eid\": \"e16289\", \"logical_representation\": [\"2020/10/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/10/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16290\", \"logical_representation\": [\"2020/10/10\", \"lunch\", \"a burger\", \"Kayden, Carter\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/10/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16291\", \"logical_representation\": [\"2020/10/10\", \"Eva, Lydia\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Eva, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia during lunch hours on 2020/10/10?\", \"25 minutes\"], [\"who did I talk to on 2020/10/10?\", \"Eva, Lydia\"], [\"Did I talk to Eva, Lydia on 2020/10/10?\", \"yes\"], [\"Did I talk to anyone on 2020/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/11\": {\"exercise\": {\"eid\": \"e16292\", \"logical_representation\": [\"2020/10/11\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/10/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/11?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16293\", \"logical_representation\": [\"2020/10/11\", \"breakfast\", \"toast and cheese\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/10/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16294\", \"logical_representation\": [\"2020/10/11\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/11?\", \"8 minutes\"], [\"what did I watch on tv on 2020/10/11?\", \"a tv series\"], [\"Did I watch tv on 2020/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/12\": {\"breakfast\": {\"eid\": \"e16295\", \"logical_representation\": [\"2020/10/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/10/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16296\", \"logical_representation\": [\"2020/10/12\", \"dinner\", \"sandwich\", \"Emily, Kayden\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/10/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16297\", \"logical_representation\": [\"2020/10/12\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/10/12?\", \"5 minutes\"], [\"what did I read on 2020/10/12?\", \"a book\"], [\"Did I read on 2020/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16298\", \"logical_representation\": [\"2020/10/12\", \"a documentary\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/12?\", \"24 minutes\"], [\"what did I watch on tv on 2020/10/12?\", \"a documentary\"], [\"Did I watch tv on 2020/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/14\": {\"exercise\": {\"eid\": \"e16303\", \"logical_representation\": [\"2020/10/14\", \"biking\"], \"text_template_based\": \"I did biking on 2020/10/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16304\", \"logical_representation\": [\"2020/10/14\", \"Lydia, Hazel, Avery, Kinsley\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Lydia, Hazel, Avery, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Avery, Kinsley in the morning on 2020/10/14?\", \"44 minutes\"], [\"who did I talk to on 2020/10/14?\", \"Lydia, Hazel, Avery, Kinsley\"], [\"Did I talk to Lydia, Hazel, Avery, Kinsley on 2020/10/14?\", \"yes\"], [\"Did I talk to anyone on 2020/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16305\", \"logical_representation\": [\"2020/10/14\", \"Kinsley, Avery, Rylee\", \"during lunch hours\", \"22 minutes\"], \"text_template_based\": \"I talked to Kinsley, Avery, Rylee for 22 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Rylee during lunch hours on 2020/10/14?\", \"22 minutes\"], [\"who did I talk to on 2020/10/14?\", \"Kinsley, Avery, Rylee\"], [\"Did I talk to Kinsley, Avery, Rylee on 2020/10/14?\", \"yes\"], [\"Did I talk to anyone on 2020/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16306\", \"logical_representation\": [\"2020/10/14\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/10/14?\", \"25 minutes\"], [\"what did I read on 2020/10/14?\", \"news\"], [\"Did I read on 2020/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/15\": {\"exercise\": {\"eid\": \"e16307\", \"logical_representation\": [\"2020/10/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16308\", \"logical_representation\": [\"2020/10/15\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Benjamin\"], \"text_template_based\": \"I had breakfast with Avery, Benjamin. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/10/15?\", \"Avery, Benjamin\"], [\"what did I eat for breakfast on 2020/10/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2020/10/17\": {\"lunch\": {\"eid\": \"e16312\", \"logical_representation\": [\"2020/10/17\", \"lunch\", \"pasta\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/10/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16313\", \"logical_representation\": [\"2020/10/17\", \"a documentary\", \"18 minutes\"], \"text_template_based\": \"I watched a documentary for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/17?\", \"18 minutes\"], [\"what did I watch on tv on 2020/10/17?\", \"a documentary\"], [\"Did I watch tv on 2020/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/18\": {\"dinner\": {\"eid\": \"e16314\", \"logical_representation\": [\"2020/10/18\", \"dinner\", \"chinese food\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/10/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16315\", \"logical_representation\": [\"2020/10/18\", \"Kinsley, Nevaeh, Eva\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Kinsley, Nevaeh, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Eva in the morning on 2020/10/18?\", \"47 minutes\"], [\"who did I talk to on 2020/10/18?\", \"Kinsley, Nevaeh, Eva\"], [\"Did I talk to Kinsley, Nevaeh, Eva on 2020/10/18?\", \"yes\"], [\"Did I talk to anyone on 2020/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16316\", \"logical_representation\": [\"2020/10/18\", \"Nora, Claire\", \"in the early evening\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Nora, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire in the early evening on 2020/10/18?\", \"54 minutes\"], [\"who did I talk to on 2020/10/18?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2020/10/18?\", \"yes\"], [\"Did I talk to anyone on 2020/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/21\": {\"breakfast\": {\"eid\": \"e16324\", \"logical_representation\": [\"2020/10/21\", \"breakfast\", \"cereals\", \"Eva\"], \"text_template_based\": \"I had cereals for breakfast with Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/10/21?\", \"Eva\"], [\"what did I eat for breakfast on 2020/10/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16325\", \"logical_representation\": [\"2020/10/21\", \"lunch\", \"indian food\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I had lunch with Willow, Benjamin, Avery. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/10/21?\", \"Willow, Benjamin, Avery\"], [\"what did I eat for lunch on 2020/10/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16326\", \"logical_representation\": [\"2020/10/21\", \"dinner\", \"sushi\", \"Nora, Olivia, Piper, Hazel, Rylee, Kinsley, Layla\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/10/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16327\", \"logical_representation\": [\"2020/10/21\", \"Olivia, Rylee, Claire, Kinsley\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Olivia, Rylee, Claire, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee, Claire, Kinsley late in the evening on 2020/10/21?\", \"30 minutes\"], [\"who did I talk to on 2020/10/21?\", \"Olivia, Rylee, Claire, Kinsley\"], [\"Did I talk to Olivia, Rylee, Claire, Kinsley on 2020/10/21?\", \"yes\"], [\"Did I talk to anyone on 2020/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16328\", \"logical_representation\": [\"2020/10/21\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/10/21?\", \"48 minutes\"], [\"what did I read on 2020/10/21?\", \"news\"], [\"Did I read on 2020/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/22\": {\"dinner\": {\"eid\": \"e16329\", \"logical_representation\": [\"2020/10/22\", \"dinner\", \"steak\", \"Layla, Piper, Piper, Nora, Hazel, Lydia\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/10/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16330\", \"logical_representation\": [\"2020/10/22\", \"Layla\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Layla for 52 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the late afternoon on 2020/10/22?\", \"52 minutes\"], [\"who did I talk to on 2020/10/22?\", \"Layla\"], [\"Did I talk to Layla on 2020/10/22?\", \"yes\"], [\"Did I talk to anyone on 2020/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16331\", \"logical_representation\": [\"2020/10/22\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/10/22?\", \"52 minutes\"], [\"what did I read on 2020/10/22?\", \"social media\"], [\"Did I read on 2020/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/23\": {\"exercise\": {\"eid\": \"e16332\", \"logical_representation\": [\"2020/10/23\", \"running\"], \"text_template_based\": \"I did running on 2020/10/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16333\", \"logical_representation\": [\"2020/10/23\", \"dinner\", \"chinese food\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/10/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16334\", \"logical_representation\": [\"2020/10/23\", \"Lydia, Layla\", \"in the morning\", \"25 minutes\"], \"text_template_based\": \"I talked to Lydia, Layla for 25 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla in the morning on 2020/10/23?\", \"25 minutes\"], [\"who did I talk to on 2020/10/23?\", \"Lydia, Layla\"], [\"Did I talk to Lydia, Layla on 2020/10/23?\", \"yes\"], [\"Did I talk to anyone on 2020/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16335\", \"logical_representation\": [\"2020/10/23\", \"Nora, Eva, Olivia\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Nora, Eva, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Olivia in the early afternoon on 2020/10/23?\", \"51 minutes\"], [\"who did I talk to on 2020/10/23?\", \"Nora, Eva, Olivia\"], [\"Did I talk to Nora, Eva, Olivia on 2020/10/23?\", \"yes\"], [\"Did I talk to anyone on 2020/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16336\", \"logical_representation\": [\"2020/10/23\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/10/23?\", \"48 minutes\"], [\"what did I read on 2020/10/23?\", \"social media\"], [\"Did I read on 2020/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/24\": {\"exercise\": {\"eid\": \"e16337\", \"logical_representation\": [\"2020/10/24\", \"biking\"], \"text_template_based\": \"I did biking on 2020/10/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16338\", \"logical_representation\": [\"2020/10/24\", \"Layla\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Layla for 12 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2020/10/24?\", \"12 minutes\"], [\"who did I talk to on 2020/10/24?\", \"Layla\"], [\"Did I talk to Layla on 2020/10/24?\", \"yes\"], [\"Did I talk to anyone on 2020/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16339\", \"logical_representation\": [\"2020/10/24\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/10/24?\", \"38 minutes\"], [\"what did I read on 2020/10/24?\", \"social media\"], [\"Did I read on 2020/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16340\", \"logical_representation\": [\"2020/10/24\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/24?\", \"20 minutes\"], [\"what did I watch on tv on 2020/10/24?\", \"a documentary\"], [\"Did I watch tv on 2020/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/25\": {\"breakfast\": {\"eid\": \"e16341\", \"logical_representation\": [\"2020/10/25\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Layla, Rylee, Piper, Hazel, Lydia\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/10/25\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16342\", \"logical_representation\": [\"2020/10/25\", \"lunch\", \"chinese food\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/10/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16343\", \"logical_representation\": [\"2020/10/25\", \"Piper, Nora, Lydia, Rylee\", \"late in the evening\", \"54 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Lydia, Rylee for 54 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Lydia, Rylee late in the evening on 2020/10/25?\", \"54 minutes\"], [\"who did I talk to on 2020/10/25?\", \"Piper, Nora, Lydia, Rylee\"], [\"Did I talk to Piper, Nora, Lydia, Rylee on 2020/10/25?\", \"yes\"], [\"Did I talk to anyone on 2020/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16344\", \"logical_representation\": [\"2020/10/25\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/10/25?\", \"7 minutes\"], [\"what did I read on 2020/10/25?\", \"a book\"], [\"Did I read on 2020/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/26\": {\"lunch\": {\"eid\": \"e16345\", \"logical_representation\": [\"2020/10/26\", \"lunch\", \"tacos\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Carter, Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/10/26?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2020/10/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16346\", \"logical_representation\": [\"2020/10/26\", \"dinner\", \"indian food\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/10/26\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2020/10/27\": {\"lunch\": {\"eid\": \"e16347\", \"logical_representation\": [\"2020/10/27\", \"lunch\", \"fish and chips\", \"Rylee\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/10/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16348\", \"logical_representation\": [\"2020/10/27\", \"Nevaeh, Layla, Piper, Avery\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Layla, Piper, Avery for 29 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Piper, Avery in the early evening on 2020/10/27?\", \"29 minutes\"], [\"who did I talk to on 2020/10/27?\", \"Nevaeh, Layla, Piper, Avery\"], [\"Did I talk to Nevaeh, Layla, Piper, Avery on 2020/10/27?\", \"yes\"], [\"Did I talk to anyone on 2020/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/28\": {\"exercise\": {\"eid\": \"e16349\", \"logical_representation\": [\"2020/10/28\", \"biking\"], \"text_template_based\": \"I did biking on 2020/10/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16350\", \"logical_representation\": [\"2020/10/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/10/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16351\", \"logical_representation\": [\"2020/10/28\", \"Nevaeh, Piper, Lydia, Nora\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Lydia, Nora for 7 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Lydia, Nora in the late afternoon on 2020/10/28?\", \"7 minutes\"], [\"who did I talk to on 2020/10/28?\", \"Nevaeh, Piper, Lydia, Nora\"], [\"Did I talk to Nevaeh, Piper, Lydia, Nora on 2020/10/28?\", \"yes\"], [\"Did I talk to anyone on 2020/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16352\", \"logical_representation\": [\"2020/10/28\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/10/28?\", \"51 minutes\"], [\"what did I read on 2020/10/28?\", \"social media\"], [\"Did I read on 2020/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16353\", \"logical_representation\": [\"2020/10/28\", \"a documentary\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/28?\", \"14 minutes\"], [\"what did I watch on tv on 2020/10/28?\", \"a documentary\"], [\"Did I watch tv on 2020/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/30\": {\"exercise\": {\"eid\": \"e16356\", \"logical_representation\": [\"2020/10/30\", \"biking\"], \"text_template_based\": \"I did biking on 2020/10/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16357\", \"logical_representation\": [\"2020/10/30\", \"breakfast\", \"toast and cheese\", \"Jackson\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/10/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16358\", \"logical_representation\": [\"2020/10/30\", \"dinner\", \"tacos\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/10/30\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16359\", \"logical_representation\": [\"2020/10/30\", \"Nora, Olivia, Rylee\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Nora, Olivia, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Rylee in the early evening on 2020/10/30?\", \"12 minutes\"], [\"who did I talk to on 2020/10/30?\", \"Nora, Olivia, Rylee\"], [\"Did I talk to Nora, Olivia, Rylee on 2020/10/30?\", \"yes\"], [\"Did I talk to anyone on 2020/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16360\", \"logical_representation\": [\"2020/10/30\", \"Olivia, Nora, Rylee\", \"during lunch hours\", \"5 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora, Rylee for 5 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Rylee during lunch hours on 2020/10/30?\", \"5 minutes\"], [\"who did I talk to on 2020/10/30?\", \"Olivia, Nora, Rylee\"], [\"Did I talk to Olivia, Nora, Rylee on 2020/10/30?\", \"yes\"], [\"Did I talk to anyone on 2020/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16361\", \"logical_representation\": [\"2020/10/30\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/10/30?\", \"24 minutes\"], [\"what did I read on 2020/10/30?\", \"social media\"], [\"Did I read on 2020/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16362\", \"logical_representation\": [\"2020/10/30\", \"news\", \"6 minutes\"], \"text_template_based\": \"I watched news for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/30?\", \"6 minutes\"], [\"what did I watch on tv on 2020/10/30?\", \"news\"], [\"Did I watch tv on 2020/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/31\": {\"exercise\": {\"eid\": \"e16363\", \"logical_representation\": [\"2020/10/31\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/10/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/31?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16364\", \"logical_representation\": [\"2020/10/31\", \"lunch\", \"sandwich\", \"Andrew, Carter\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/10/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16365\", \"logical_representation\": [\"2020/10/31\", \"Olivia, Avery, Piper, Eva\", \"in the morning\", \"25 minutes\"], \"text_template_based\": \"I talked to Olivia, Avery, Piper, Eva for 25 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Piper, Eva in the morning on 2020/10/31?\", \"25 minutes\"], [\"who did I talk to on 2020/10/31?\", \"Olivia, Avery, Piper, Eva\"], [\"Did I talk to Olivia, Avery, Piper, Eva on 2020/10/31?\", \"yes\"], [\"Did I talk to anyone on 2020/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16366\", \"logical_representation\": [\"2020/10/31\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/10/31?\", \"20 minutes\"], [\"what did I read on 2020/10/31?\", \"news\"], [\"Did I read on 2020/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/03\": {\"exercise\": {\"eid\": \"e16376\", \"logical_representation\": [\"2020/11/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/11/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16377\", \"logical_representation\": [\"2020/11/03\", \"lunch\", \"sushi\", \"Claire, Kinsley, Avery, Nora, Olivia, Rylee, Piper, Hazel\"], \"text_template_based\": \"I had lunch with Claire, Kinsley, Avery, Nora, Olivia, Rylee, Piper, Hazel. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/11/03?\", \"Claire, Kinsley, Avery, Nora, Olivia, Rylee, Piper, Hazel\"], [\"what did I eat for lunch on 2020/11/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16378\", \"logical_representation\": [\"2020/11/03\", \"Olivia, Kinsley\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley for 47 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley during lunch hours on 2020/11/03?\", \"47 minutes\"], [\"who did I talk to on 2020/11/03?\", \"Olivia, Kinsley\"], [\"Did I talk to Olivia, Kinsley on 2020/11/03?\", \"yes\"], [\"Did I talk to anyone on 2020/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16379\", \"logical_representation\": [\"2020/11/03\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I watched a movie for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/03?\", \"37 minutes\"], [\"what did I watch on tv on 2020/11/03?\", \"a movie\"], [\"Did I watch tv on 2020/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/05\": {\"breakfast\": {\"eid\": \"e16382\", \"logical_representation\": [\"2020/11/05\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Eva, Kinsley, Claire, Nevaeh, Hazel, Avery, Olivia, Layla\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/11/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16383\", \"logical_representation\": [\"2020/11/05\", \"lunch\", \"tacos\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had tacos for lunch with Benjamin, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/11/05?\", \"Benjamin, Jackson, Avery\"], [\"what did I eat for lunch on 2020/11/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16384\", \"logical_representation\": [\"2020/11/05\", \"dinner\", \"fish and chips\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had fish and chips for dinner with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/11/05?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2020/11/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16385\", \"logical_representation\": [\"2020/11/05\", \"Eva, Hazel, Avery, Claire\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel, Avery, Claire for 9 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Avery, Claire in the early afternoon on 2020/11/05?\", \"9 minutes\"], [\"who did I talk to on 2020/11/05?\", \"Eva, Hazel, Avery, Claire\"], [\"Did I talk to Eva, Hazel, Avery, Claire on 2020/11/05?\", \"yes\"], [\"Did I talk to anyone on 2020/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16386\", \"logical_representation\": [\"2020/11/05\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/11/05?\", \"18 minutes\"], [\"what did I read on 2020/11/05?\", \"a book\"], [\"Did I read on 2020/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16387\", \"logical_representation\": [\"2020/11/05\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I watched a movie for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/05?\", \"10 minutes\"], [\"what did I watch on tv on 2020/11/05?\", \"a movie\"], [\"Did I watch tv on 2020/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/06\": {\"exercise\": {\"eid\": \"e16388\", \"logical_representation\": [\"2020/11/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/11/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16389\", \"logical_representation\": [\"2020/11/06\", \"news\", \"25 minutes\"], \"text_template_based\": \"I watched news for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/06?\", \"25 minutes\"], [\"what did I watch on tv on 2020/11/06?\", \"news\"], [\"Did I watch tv on 2020/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/08\": {\"breakfast\": {\"eid\": \"e16393\", \"logical_representation\": [\"2020/11/08\", \"breakfast\", \"pancakes\", \"Lydia, Hazel, Nevaeh, Olivia, Kinsley, Layla, Nora, Eva, Piper, Piper, Claire, Rylee, Avery\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/11/08\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16394\", \"logical_representation\": [\"2020/11/08\", \"dinner\", \"sushi\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/11/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16395\", \"logical_representation\": [\"2020/11/08\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/08?\", \"47 minutes\"], [\"what did I watch on tv on 2020/11/08?\", \"a tv series\"], [\"Did I watch tv on 2020/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/10\": {\"breakfast\": {\"eid\": \"e16402\", \"logical_representation\": [\"2020/11/10\", \"breakfast\", \"pancakes\", \"Jackson\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/11/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16403\", \"logical_representation\": [\"2020/11/10\", \"lunch\", \"steak\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had steak for lunch with Carter, Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/11/10?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for lunch on 2020/11/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16404\", \"logical_representation\": [\"2020/11/10\", \"dinner\", \"chinese food\", \"Layla, Nevaeh, Piper, Olivia, Hazel, Rylee, Claire\"], \"text_template_based\": \"I had dinner with Layla, Nevaeh, Piper, Olivia, Hazel, Rylee, Claire. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/11/10?\", \"Layla, Nevaeh, Piper, Olivia, Hazel, Rylee, Claire\"], [\"what did I eat for dinner on 2020/11/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16405\", \"logical_representation\": [\"2020/11/10\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/11/10?\", \"54 minutes\"], [\"what did I read on 2020/11/10?\", \"social media\"], [\"Did I read on 2020/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16406\", \"logical_representation\": [\"2020/11/10\", \"news\", \"42 minutes\"], \"text_template_based\": \"I watched news for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/10?\", \"42 minutes\"], [\"what did I watch on tv on 2020/11/10?\", \"news\"], [\"Did I watch tv on 2020/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/12\": {\"lunch\": {\"eid\": \"e16411\", \"logical_representation\": [\"2020/11/12\", \"lunch\", \"chinese food\", \"Kinsley, Eva, Avery, Piper, Piper, Layla, Nora, Rylee, Nevaeh, Lydia, Olivia, Claire\"], \"text_template_based\": \"I had lunch with Kinsley, Eva, Avery, Piper, Piper, Layla, Nora, Rylee, Nevaeh, Lydia, Olivia, Claire. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/11/12?\", \"Kinsley, Eva, Avery, Piper, Piper, Layla, Nora, Rylee, Nevaeh, Lydia, Olivia, Claire\"], [\"what did I eat for lunch on 2020/11/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16412\", \"logical_representation\": [\"2020/11/12\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/11/12?\", \"7 minutes\"], [\"what did I read on 2020/11/12?\", \"news\"], [\"Did I read on 2020/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/14\": {\"breakfast\": {\"eid\": \"e16418\", \"logical_representation\": [\"2020/11/14\", \"breakfast\", \"oatmeal\", \"Layla, Piper, Eva\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/11/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16419\", \"logical_representation\": [\"2020/11/14\", \"dinner\", \"sandwich\", \"Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/11/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16420\", \"logical_representation\": [\"2020/11/14\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/11/14?\", \"48 minutes\"], [\"what did I read on 2020/11/14?\", \"news\"], [\"Did I read on 2020/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16421\", \"logical_representation\": [\"2020/11/14\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/14?\", \"19 minutes\"], [\"what did I watch on tv on 2020/11/14?\", \"a movie\"], [\"Did I watch tv on 2020/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/15\": {\"breakfast\": {\"eid\": \"e16422\", \"logical_representation\": [\"2020/11/15\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/11/15?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for breakfast on 2020/11/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16423\", \"logical_representation\": [\"2020/11/15\", \"lunch\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/11/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16424\", \"logical_representation\": [\"2020/11/15\", \"Layla\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2020/11/15?\", \"9 minutes\"], [\"who did I talk to on 2020/11/15?\", \"Layla\"], [\"Did I talk to Layla on 2020/11/15?\", \"yes\"], [\"Did I talk to anyone on 2020/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/17\": {\"dinner\": {\"eid\": \"e16425\", \"logical_representation\": [\"2020/11/17\", \"dinner\", \"chinese food\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had chinese food for dinner with Jackson, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/11/17?\", \"Jackson, Willow, Benjamin\"], [\"what did I eat for dinner on 2020/11/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16426\", \"logical_representation\": [\"2020/11/17\", \"Rylee\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I talked to Rylee for 49 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2020/11/17?\", \"49 minutes\"], [\"who did I talk to on 2020/11/17?\", \"Rylee\"], [\"Did I talk to Rylee on 2020/11/17?\", \"yes\"], [\"Did I talk to anyone on 2020/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/18\": {\"breakfast\": {\"eid\": \"e16427\", \"logical_representation\": [\"2020/11/18\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/11/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16428\", \"logical_representation\": [\"2020/11/18\", \"Rylee, Nevaeh, Claire\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh, Claire for 25 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Claire in the early afternoon on 2020/11/18?\", \"25 minutes\"], [\"who did I talk to on 2020/11/18?\", \"Rylee, Nevaeh, Claire\"], [\"Did I talk to Rylee, Nevaeh, Claire on 2020/11/18?\", \"yes\"], [\"Did I talk to anyone on 2020/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16429\", \"logical_representation\": [\"2020/11/18\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend 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\"logical_representation\": [\"2020/11/20\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/11/20?\", \"51 minutes\"], [\"what did I read on 2020/11/20?\", \"news\"], [\"Did I read on 2020/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16437\", \"logical_representation\": [\"2020/11/20\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/20?\", \"33 minutes\"], [\"what did I watch on tv on 2020/11/20?\", \"a tv series\"], [\"Did I watch tv on 2020/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/21\": {\"lunch\": {\"eid\": \"e16438\", \"logical_representation\": [\"2020/11/21\", \"lunch\", \"chinese food\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/11/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16439\", \"logical_representation\": [\"2020/11/21\", \"dinner\", \"steak\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/11/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16440\", \"logical_representation\": [\"2020/11/21\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/11/21?\", \"46 minutes\"], [\"what did I read on 2020/11/21?\", \"news\"], [\"Did I read on 2020/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/23\": {\"exercise\": {\"eid\": \"e16446\", \"logical_representation\": [\"2020/11/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/11/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16447\", \"logical_representation\": [\"2020/11/23\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/11/23\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16448\", \"logical_representation\": [\"2020/11/23\", \"dinner\", \"steak\", \"Hazel, Piper, Lydia, Olivia, Layla, Rylee, Avery, Kinsley, Claire, Nevaeh\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/11/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16449\", \"logical_representation\": [\"2020/11/23\", \"Olivia, Nevaeh\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Olivia, Nevaeh for 12 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh in the late afternoon on 2020/11/23?\", \"12 minutes\"], [\"who did I talk to on 2020/11/23?\", \"Olivia, Nevaeh\"], [\"Did I talk to Olivia, Nevaeh on 2020/11/23?\", \"yes\"], [\"Did I talk to anyone on 2020/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/24\": {\"exercise\": {\"eid\": \"e16450\", \"logical_representation\": [\"2020/11/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/11/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16451\", \"logical_representation\": [\"2020/11/24\", \"breakfast\", \"cereals\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had breakfast with Carter, Emily, Andrew. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/11/24?\", \"Carter, Emily, Andrew\"], [\"what did I eat for breakfast on 2020/11/24\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16452\", \"logical_representation\": [\"2020/11/24\", \"dinner\", \"sushi\", \"Nevaeh, Nora, Rylee, Hazel, Claire, Kinsley, Avery, Olivia, Piper, Layla, Lydia, Piper\"], \"text_template_based\": \"I had sushi for dinner with Nevaeh, Nora, Rylee, Hazel, Claire, Kinsley, Avery, Olivia, Piper, Layla, Lydia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/11/24?\", \"Nevaeh, Nora, Rylee, Hazel, Claire, Kinsley, Avery, Olivia, Piper, Layla, Lydia, Piper\"], [\"what did I eat for dinner on 2020/11/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16453\", \"logical_representation\": [\"2020/11/24\", \"Lydia, Rylee\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Lydia, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee late in the evening on 2020/11/24?\", \"36 minutes\"], [\"who did I talk to on 2020/11/24?\", \"Lydia, Rylee\"], [\"Did I talk to Lydia, Rylee on 2020/11/24?\", \"yes\"], [\"Did I talk to anyone on 2020/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16454\", \"logical_representation\": [\"2020/11/24\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/11/24?\", \"53 minutes\"], [\"what did I read on 2020/11/24?\", \"social media\"], [\"Did I read on 2020/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16455\", \"logical_representation\": [\"2020/11/24\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I watched a movie for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/24?\", \"39 minutes\"], [\"what did I watch on tv on 2020/11/24?\", \"a movie\"], [\"Did I watch tv on 2020/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/25\": {\"breakfast\": {\"eid\": \"e16456\", \"logical_representation\": [\"2020/11/25\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/11/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16457\", \"logical_representation\": [\"2020/11/25\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/11/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16458\", \"logical_representation\": [\"2020/11/25\", \"Claire, Olivia\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia for 17 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia in the early afternoon on 2020/11/25?\", \"17 minutes\"], [\"who did I talk to on 2020/11/25?\", \"Claire, Olivia\"], [\"Did I talk to Claire, Olivia on 2020/11/25?\", \"yes\"], [\"Did I talk to anyone on 2020/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16459\", \"logical_representation\": [\"2020/11/25\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/11/25?\", \"41 minutes\"], [\"what did I read on 2020/11/25?\", \"news\"], [\"Did I read on 2020/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/27\": {\"exercise\": {\"eid\": \"e16465\", \"logical_representation\": [\"2020/11/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16466\", \"logical_representation\": [\"2020/11/27\", \"lunch\", \"a burger\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/11/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16467\", \"logical_representation\": [\"2020/11/27\", \"dinner\", \"chinese food\", \"Kayden, Carter\"], \"text_template_based\": \"I had chinese food for dinner with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/11/27?\", \"Kayden, Carter\"], [\"what did I eat for dinner on 2020/11/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16468\", \"logical_representation\": [\"2020/11/27\", \"Nora, Lydia, Nevaeh, Hazel\", \"in the morning\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Nora, Lydia, Nevaeh, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Nevaeh, Hazel in the morning on 2020/11/27?\", \"10 minutes\"], [\"who did I talk to on 2020/11/27?\", \"Nora, Lydia, Nevaeh, Hazel\"], [\"Did I talk to Nora, Lydia, Nevaeh, Hazel on 2020/11/27?\", \"yes\"], [\"Did I talk to anyone on 2020/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16469\", \"logical_representation\": [\"2020/11/27\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/27?\", \"31 minutes\"], [\"what did I watch on tv on 2020/11/27?\", \"news\"], [\"Did I watch tv on 2020/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/28\": {\"dinner\": {\"eid\": \"e16470\", \"logical_representation\": [\"2020/11/28\", \"dinner\", \"sandwich\", \"Nevaeh, Eva, Olivia\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/11/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16471\", \"logical_representation\": [\"2020/11/28\", \"Rylee\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2020/11/28?\", \"52 minutes\"], [\"who did I talk to on 2020/11/28?\", \"Rylee\"], [\"Did I talk to Rylee on 2020/11/28?\", \"yes\"], [\"Did I talk to anyone on 2020/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16472\", \"logical_representation\": [\"2020/11/28\", \"Olivia, Rylee, Piper\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Olivia, Rylee, Piper for 8 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee, Piper in the early afternoon on 2020/11/28?\", \"8 minutes\"], [\"who did I talk to on 2020/11/28?\", \"Olivia, Rylee, Piper\"], [\"Did I talk to Olivia, Rylee, Piper on 2020/11/28?\", \"yes\"], [\"Did I talk to anyone on 2020/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16473\", \"logical_representation\": [\"2020/11/28\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/11/28?\", \"18 minutes\"], [\"what did I read on 2020/11/28?\", \"social media\"], [\"Did I read on 2020/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/01\": {\"breakfast\": {\"eid\": \"e16481\", \"logical_representation\": [\"2020/12/01\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/12/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16482\", \"logical_representation\": [\"2020/12/01\", \"dinner\", \"sandwich\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/12/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16483\", \"logical_representation\": [\"2020/12/01\", \"Kinsley, Avery, Rylee, Olivia\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Kinsley, Avery, Rylee, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Rylee, Olivia in the late afternoon on 2020/12/01?\", \"41 minutes\"], [\"who did I talk to on 2020/12/01?\", \"Kinsley, Avery, Rylee, Olivia\"], [\"Did I talk to Kinsley, Avery, Rylee, Olivia on 2020/12/01?\", \"yes\"], [\"Did I talk to anyone on 2020/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/02\": {\"exercise\": {\"eid\": \"e16484\", \"logical_representation\": [\"2020/12/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/12/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16485\", \"logical_representation\": [\"2020/12/02\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Layla, Nora, Nevaeh, Olivia, Piper, Kinsley, Avery, Claire, Eva, Hazel, Rylee, Lydia\"], \"text_template_based\": \"I had breakfast with Piper, Layla, Nora, Nevaeh, Olivia, Piper, Kinsley, Avery, Claire, Eva, Hazel, Rylee, Lydia. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/12/02?\", \"Piper, Layla, Nora, Nevaeh, Olivia, Piper, Kinsley, Avery, Claire, Eva, Hazel, Rylee, Lydia\"], [\"what did I eat for breakfast on 2020/12/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16486\", \"logical_representation\": [\"2020/12/02\", \"lunch\", \"a burger\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/12/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16487\", \"logical_representation\": [\"2020/12/02\", \"dinner\", \"steak\", \"Piper, Layla, Nora, Lydia\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/12/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16488\", \"logical_representation\": [\"2020/12/02\", \"Nevaeh, Lydia, Eva\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia, Eva for 55 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Eva in the late afternoon on 2020/12/02?\", \"55 minutes\"], [\"who did I talk to on 2020/12/02?\", \"Nevaeh, Lydia, Eva\"], [\"Did I talk to Nevaeh, Lydia, Eva on 2020/12/02?\", \"yes\"], [\"Did I talk to anyone on 2020/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16489\", \"logical_representation\": [\"2020/12/02\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/12/02?\", \"36 minutes\"], [\"what did I read on 2020/12/02?\", \"social media\"], [\"Did I read on 2020/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/03\": {\"lunch\": {\"eid\": \"e16490\", \"logical_representation\": [\"2020/12/03\", \"lunch\", \"a burger\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/12/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16491\", \"logical_representation\": [\"2020/12/03\", \"Hazel, Piper\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper for 9 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper in the morning on 2020/12/03?\", \"9 minutes\"], [\"who did I talk to on 2020/12/03?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2020/12/03?\", \"yes\"], [\"Did I talk to anyone on 2020/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16492\", \"logical_representation\": [\"2020/12/03\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/12/03?\", \"20 minutes\"], [\"what did I read on 2020/12/03?\", \"social media\"], [\"Did I read on 2020/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/04\": {\"exercise\": {\"eid\": \"e16493\", \"logical_representation\": [\"2020/12/04\", \"biking\"], \"text_template_based\": \"I did biking on 2020/12/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16494\", \"logical_representation\": [\"2020/12/04\", \"breakfast\", \"cereals\", \"Nora, Hazel\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/12/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16495\", \"logical_representation\": [\"2020/12/04\", \"Piper, Nora, Kinsley, Eva\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Kinsley, Eva for 19 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Kinsley, Eva in the morning on 2020/12/04?\", \"19 minutes\"], [\"who did I talk to on 2020/12/04?\", \"Piper, Nora, Kinsley, Eva\"], [\"Did I talk to Piper, Nora, Kinsley, Eva on 2020/12/04?\", \"yes\"], [\"Did I talk to anyone on 2020/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16496\", \"logical_representation\": [\"2020/12/04\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/12/04?\", \"19 minutes\"], [\"what did I read on 2020/12/04?\", \"news\"], [\"Did I read on 2020/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/07\": {\"exercise\": {\"eid\": \"e16506\", \"logical_representation\": [\"2020/12/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/12/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16507\", \"logical_representation\": [\"2020/12/07\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/12/07?\", \"Emily, Andrew\"], [\"what did I eat for breakfast on 2020/12/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16508\", \"logical_representation\": [\"2020/12/07\", \"dinner\", \"chinese food\", \"Andrew, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/12/07?\", \"Andrew, Carter\"], [\"what did I eat for dinner on 2020/12/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16509\", \"logical_representation\": [\"2020/12/07\", \"Layla, Rylee, Eva, Piper\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Layla, Rylee, Eva, Piper for 34 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Eva, Piper in the early afternoon on 2020/12/07?\", \"34 minutes\"], [\"who did I talk to on 2020/12/07?\", \"Layla, Rylee, Eva, Piper\"], [\"Did I talk to Layla, Rylee, Eva, Piper on 2020/12/07?\", \"yes\"], [\"Did I talk to anyone on 2020/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/08\": {\"exercise\": {\"eid\": \"e16510\", \"logical_representation\": [\"2020/12/08\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/12/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/08?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16511\", \"logical_representation\": [\"2020/12/08\", \"dinner\", \"steak\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/12/08?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2020/12/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16512\", \"logical_representation\": [\"2020/12/08\", \"Claire, Kinsley, Avery, Piper\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Claire, Kinsley, Avery, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Avery, Piper in the morning on 2020/12/08?\", \"27 minutes\"], [\"who did I talk to on 2020/12/08?\", \"Claire, Kinsley, Avery, Piper\"], [\"Did I talk to Claire, Kinsley, Avery, Piper on 2020/12/08?\", \"yes\"], [\"Did I talk to anyone on 2020/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16513\", \"logical_representation\": [\"2020/12/08\", \"Nevaeh, Nora, Claire, Kinsley\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Nevaeh, Nora, Claire, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Claire, Kinsley late in the evening on 2020/12/08?\", \"43 minutes\"], [\"who did I talk to on 2020/12/08?\", \"Nevaeh, Nora, Claire, Kinsley\"], [\"Did I talk to Nevaeh, Nora, Claire, Kinsley on 2020/12/08?\", \"yes\"], [\"Did I talk to anyone on 2020/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16514\", \"logical_representation\": [\"2020/12/08\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/12/08?\", \"54 minutes\"], [\"what did I read on 2020/12/08?\", \"social media\"], [\"Did I read on 2020/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/09\": {\"lunch\": {\"eid\": \"e16515\", \"logical_representation\": [\"2020/12/09\", \"lunch\", \"indian food\", \"Hazel, Claire, Nevaeh, Piper, Avery, Olivia, Lydia, Nora, Piper\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/12/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16516\", \"logical_representation\": [\"2020/12/09\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I watched a movie for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/12/09?\", \"6 minutes\"], [\"what did I watch on tv on 2020/12/09?\", \"a movie\"], [\"Did I watch tv on 2020/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/12\": {\"chat0\": {\"eid\": \"e16522\", \"logical_representation\": [\"2020/12/12\", \"Kinsley, Eva\", \"in the morning\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Kinsley, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva in the morning on 2020/12/12?\", \"21 minutes\"], [\"who did I talk to on 2020/12/12?\", \"Kinsley, Eva\"], [\"Did I talk to Kinsley, Eva on 2020/12/12?\", \"yes\"], [\"Did I talk to anyone on 2020/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16523\", \"logical_representation\": [\"2020/12/12\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/12/12?\", \"5 minutes\"], [\"what did I read on 2020/12/12?\", \"news\"], [\"Did I read on 2020/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/13\": {\"breakfast\": {\"eid\": \"e16524\", \"logical_representation\": [\"2020/12/13\", \"breakfast\", \"pancakes\", \"Hazel, Avery, Piper, Eva, Nevaeh, Kinsley, Lydia, Olivia, Claire, Piper\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/12/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16525\", \"logical_representation\": [\"2020/12/13\", \"lunch\", \"indian food\", \"Kinsley, Claire, Piper, Olivia, Avery, Nora\"], \"text_template_based\": \"I had indian food for lunch with Kinsley, Claire, Piper, Olivia, Avery, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/12/13?\", \"Kinsley, Claire, Piper, Olivia, Avery, Nora\"], [\"what did I eat for lunch on 2020/12/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16526\", \"logical_representation\": [\"2020/12/13\", \"dinner\", \"sandwich\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/12/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16527\", \"logical_representation\": [\"2020/12/13\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/12/13?\", \"40 minutes\"], [\"what did I read on 2020/12/13?\", \"social media\"], [\"Did I read on 2020/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/15\": {\"breakfast\": {\"eid\": \"e16532\", \"logical_representation\": [\"2020/12/15\", \"breakfast\", \"oatmeal\", \"Kinsley, Olivia, Hazel, Piper, Layla, Avery, Nevaeh, Rylee, Eva, Lydia, Piper\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/12/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16533\", \"logical_representation\": [\"2020/12/15\", \"Rylee\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2020/12/15?\", \"46 minutes\"], [\"who did I talk to on 2020/12/15?\", \"Rylee\"], [\"Did I talk to Rylee on 2020/12/15?\", \"yes\"], [\"Did I talk to anyone on 2020/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16534\", \"logical_representation\": [\"2020/12/15\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/12/15?\", \"12 minutes\"], [\"what did I watch on tv on 2020/12/15?\", \"news\"], [\"Did I watch tv on 2020/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/17\": {\"lunch\": {\"eid\": \"e16540\", \"logical_representation\": [\"2020/12/17\", \"lunch\", \"pasta\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/12/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16541\", \"logical_representation\": [\"2020/12/17\", \"Kinsley, Olivia, Piper, Avery\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Kinsley, Olivia, Piper, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Piper, Avery in the late afternoon on 2020/12/17?\", \"27 minutes\"], [\"who did I talk to on 2020/12/17?\", \"Kinsley, Olivia, Piper, Avery\"], [\"Did I talk to Kinsley, Olivia, Piper, Avery on 2020/12/17?\", \"yes\"], [\"Did I talk to anyone on 2020/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16542\", \"logical_representation\": [\"2020/12/17\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I watched a movie for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/12/17?\", \"37 minutes\"], [\"what did I watch on tv on 2020/12/17?\", \"a movie\"], [\"Did I watch tv on 2020/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/20\": {\"breakfast\": {\"eid\": \"e16554\", \"logical_representation\": [\"2020/12/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/12/20?\", \"Carter, Emily\"], [\"what did I eat for breakfast on 2020/12/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16555\", \"logical_representation\": [\"2020/12/20\", \"Nevaeh, Layla, Olivia, Piper\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Layla, Olivia, Piper for 17 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Olivia, Piper in the late afternoon on 2020/12/20?\", \"17 minutes\"], [\"who did I talk to on 2020/12/20?\", \"Nevaeh, Layla, Olivia, Piper\"], [\"Did I talk to Nevaeh, Layla, Olivia, Piper on 2020/12/20?\", \"yes\"], [\"Did I talk to anyone on 2020/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/21\": {\"exercise\": {\"eid\": \"e16556\", \"logical_representation\": [\"2020/12/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/12/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16557\", \"logical_representation\": [\"2020/12/21\", \"breakfast\", \"cereals\", \"Piper, Eva, Avery, Nevaeh, Nora\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/12/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16558\", \"logical_representation\": [\"2020/12/21\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/12/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16559\", \"logical_representation\": [\"2020/12/21\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/12/21?\", \"42 minutes\"], [\"what did I read on 2020/12/21?\", \"social media\"], [\"Did I read on 2020/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/22\": {\"exercise\": {\"eid\": \"e16560\", \"logical_representation\": [\"2020/12/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/12/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16561\", \"logical_representation\": [\"2020/12/22\", \"dinner\", \"chinese food\", \"Claire\"], \"text_template_based\": \"I had dinner with Claire. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/12/22?\", \"Claire\"], [\"what did I eat for dinner on 2020/12/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16562\", \"logical_representation\": [\"2020/12/22\", \"Claire\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Claire for 49 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2020/12/22?\", \"49 minutes\"], [\"who did I talk to on 2020/12/22?\", \"Claire\"], [\"Did I talk to Claire on 2020/12/22?\", \"yes\"], [\"Did I talk to anyone on 2020/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16563\", \"logical_representation\": [\"2020/12/22\", \"a documentary\", \"34 minutes\"], \"text_template_based\": \"I watched a documentary for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/12/22?\", \"34 minutes\"], [\"what did I watch on tv on 2020/12/22?\", \"a documentary\"], [\"Did I watch tv on 2020/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/23\": {\"exercise\": {\"eid\": \"e16564\", \"logical_representation\": [\"2020/12/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/12/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16565\", \"logical_representation\": [\"2020/12/23\", \"breakfast\", \"cereals\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/12/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16566\", \"logical_representation\": [\"2020/12/23\", \"dinner\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/12/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2020/12/24\": {\"exercise\": {\"eid\": \"e16567\", \"logical_representation\": [\"2020/12/24\", \"biking\"], \"text_template_based\": \"I did biking on 2020/12/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16568\", \"logical_representation\": [\"2020/12/24\", \"lunch\", \"sushi\", \"Benjamin\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/12/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16569\", \"logical_representation\": [\"2020/12/24\", \"dinner\", \"pasta\", \"Piper\"], \"text_template_based\": \"I had dinner with Piper. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/12/24?\", \"Piper\"], [\"what did I eat for dinner on 2020/12/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16570\", \"logical_representation\": [\"2020/12/24\", \"Layla\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Layla for 19 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2020/12/24?\", \"19 minutes\"], [\"who did I talk to on 2020/12/24?\", \"Layla\"], [\"Did I talk to Layla on 2020/12/24?\", \"yes\"], [\"Did I talk to anyone on 2020/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16571\", \"logical_representation\": [\"2020/12/24\", \"Olivia\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Olivia for 18 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the late afternoon on 2020/12/24?\", \"18 minutes\"], [\"who did I talk to on 2020/12/24?\", \"Olivia\"], [\"Did I talk to Olivia on 2020/12/24?\", \"yes\"], [\"Did I talk to anyone on 2020/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/25\": {\"exercise\": {\"eid\": \"e16572\", \"logical_representation\": [\"2020/12/25\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/12/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/25?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16573\", \"logical_representation\": [\"2020/12/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/12/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16574\", \"logical_representation\": [\"2020/12/25\", \"dinner\", \"pasta\", \"Hazel, Claire, Nora, Kinsley\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/12/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16575\", \"logical_representation\": [\"2020/12/25\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/12/25?\", \"46 minutes\"], [\"what did I read on 2020/12/25?\", \"news\"], [\"Did I read on 2020/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/26\": {\"exercise\": {\"eid\": \"e16576\", \"logical_representation\": [\"2020/12/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/12/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16577\", \"logical_representation\": [\"2020/12/26\", \"lunch\", \"indian food\", \"Lydia, Avery, Piper, Nevaeh, Eva, Kinsley, Piper, Nora, Layla, Olivia\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/12/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16578\", \"logical_representation\": [\"2020/12/26\", \"dinner\", \"steak\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/12/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16579\", \"logical_representation\": [\"2020/12/26\", \"Avery, Piper, Layla, Rylee\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Avery, Piper, Layla, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Layla, Rylee in the morning on 2020/12/26?\", \"7 minutes\"], [\"who did I talk to on 2020/12/26?\", \"Avery, Piper, Layla, Rylee\"], [\"Did I talk to Avery, Piper, Layla, Rylee on 2020/12/26?\", \"yes\"], [\"Did I talk to anyone on 2020/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16580\", \"logical_representation\": [\"2020/12/26\", \"Hazel, Nora, Kinsley\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I talked to Hazel, Nora, Kinsley for 49 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Kinsley in the late afternoon on 2020/12/26?\", \"49 minutes\"], [\"who did I talk to on 2020/12/26?\", \"Hazel, Nora, Kinsley\"], [\"Did I talk to Hazel, Nora, Kinsley on 2020/12/26?\", \"yes\"], [\"Did I talk to anyone on 2020/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16581\", \"logical_representation\": [\"2020/12/26\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I watched a documentary for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/12/26?\", \"13 minutes\"], [\"what did I watch on tv on 2020/12/26?\", \"a documentary\"], [\"Did I watch tv on 2020/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/27\": {\"exercise\": {\"eid\": \"e16582\", \"logical_representation\": [\"2020/12/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/12/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16583\", \"logical_representation\": [\"2020/12/27\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/12/27?\", \"41 minutes\"], [\"what did I watch on tv on 2020/12/27?\", \"a movie\"], [\"Did I watch tv on 2020/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/28\": {\"exercise\": {\"eid\": \"e16584\", \"logical_representation\": [\"2020/12/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/12/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16585\", \"logical_representation\": [\"2020/12/28\", \"lunch\", \"chinese food\", \"Eva, Lydia, Hazel, Olivia, Nora, Claire, Avery, Rylee, Piper\"], \"text_template_based\": \"I had lunch. 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I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/12/30?\", \"Hazel, Piper, Eva, Lydia, Nora, Rylee, Olivia, Layla, Kinsley, Nevaeh, Claire, Avery, Piper\"], [\"what did I eat for breakfast on 2020/12/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16591\", \"logical_representation\": [\"2020/12/30\", \"Olivia\", \"late in the evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Olivia for 50 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2020/12/30?\", \"50 minutes\"], [\"who did I talk to on 2020/12/30?\", \"Olivia\"], [\"Did I talk to Olivia on 2020/12/30?\", \"yes\"], [\"Did I talk to anyone on 2020/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16592\", \"logical_representation\": [\"2020/12/30\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/12/30?\", \"29 minutes\"], [\"what did I read on 2020/12/30?\", \"social media\"], [\"Did I read on 2020/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/31\": {\"exercise\": {\"eid\": \"e16593\", \"logical_representation\": [\"2020/12/31\", \"running\"], \"text_template_based\": \"I did running on 2020/12/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/31?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16594\", \"logical_representation\": [\"2020/12/31\", \"breakfast\", \"toast and cheese\", \"Olivia, Lydia, Kinsley\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/12/31\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16595\", \"logical_representation\": [\"2020/12/31\", \"dinner\", \"sushi\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had sushi for dinner with Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/12/31?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2020/12/31\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16596\", \"logical_representation\": [\"2020/12/31\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/12/31?\", \"50 minutes\"], [\"what did I read on 2020/12/31?\", \"social media\"], [\"Did I read on 2020/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/18\": {\"travel\": {\"eid\": \"e16597\", \"logical_representation\": [\"2021/02/18\", \"2021/02/22\", [\"Emily\", \"Carter\", \"Kayden\"], \"Rio, Brazil\"], \"text_template_based\": \"On 2021/02/18 Emily, Carter, Kayden and I went to Rio, Brazil together for 4 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Rio, Brazil on 2021/02/18?\", \"Emily, Carter, Kayden\"], [\"who did I go with to Rio, Brazil?\", \"Emily, Carter, Kayden\"], [\"where did I go on 2021/02/18?\", \"Rio, Brazil\"], [\"when did I go to Rio, Brazil?\", \"2021/02/18\"], [\"when did I go to Rio, Brazil with Emily, Carter, Kayden ?\", \"2021/02/18\"], [\"How long did I stay in Rio, Brazil?\", \"4\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16892\", \"logical_representation\": [\"2021/02/18\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/02/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16893\", \"logical_representation\": [\"2021/02/18\", \"lunch\", \"indian food\", \"Hazel, Lydia, Nevaeh, Avery, Claire, Piper, Kinsley, Piper, Eva, Olivia, Layla, Nora\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/02/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16894\", \"logical_representation\": [\"2021/02/18\", \"dinner\", \"fish and chips\", \"Kayden, Carter\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/02/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16895\", \"logical_representation\": [\"2021/02/18\", \"Eva, Avery, Olivia, Piper\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Eva, Avery, Olivia, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Olivia, Piper in the morning on 2021/02/18?\", \"35 minutes\"], [\"who did I talk to on 2021/02/18?\", \"Eva, Avery, Olivia, Piper\"], [\"Did I talk to Eva, Avery, Olivia, Piper on 2021/02/18?\", \"yes\"], [\"Did I talk to anyone on 2021/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16896\", \"logical_representation\": [\"2021/02/18\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I watched a documentary for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/02/18?\", \"50 minutes\"], [\"what did I watch on tv on 2021/02/18?\", \"a documentary\"], [\"Did I watch tv on 2021/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/19\": {\"places_visited\": {\"eid\": \"e16598\", \"logical_representation\": [\"2021/02/19\", [\"Emily\", \"Carter\", \"Kayden\"], \"Ipanema\", \"took a group photo\", \"happy\"], \"text_template_based\": \"During my trip to Rio, Brazil, I visited Ipanema on 2021/02 with Emily, Carter, Kayden.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Rio, Brazil on 2021/02\", \"Ipanema\"], [\"when did I visit Ipanema during my trip to Rio, Brazil\", \"2021/02/19\"], [\"when did I visit Ipanema \", \"2021/02/19\"], [\"who went with me to visit Ipanema ?\", \"Emily, Carter, Kayden\"], [\"who went with me to visit Ipanema during my trip to Rio, Brazil on 2021/02?\", \"Emily, Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e16603\", \"logical_representation\": [\"2021/02/19\", [\"Emily\", \"Carter\", \"Kayden\"], \"Chinese food\", \"Bolinho de bacalhau\"], \"text_template_based\": \"I ate Chinese food at Bolinho de bacalhau with Emily, Carter, Kayden on  2021/02/19 when I was in Rio, Brazil.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Bolinho de bacalhau ?\", \"Emily, Carter, Kayden\"], [\"who did I eat Chinese food with?\", \"Emily, Carter, Kayden\"], [\"where did we eat Chinese food during our trip to Rio, Brazil on  2021/02/19?\", \"Bolinho de bacalhau\"], [\"when did we eat Chinese food at Bolinho de bacalhau during our trip to Rio, Brazil?\", \"2021/02/19\"], [\"when did we eat at Bolinho de bacalhau?\", \"2021/02/19\"], [\"when did we eat Chinese food?\", \"2021/02/19\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16897\", \"logical_representation\": [\"2021/02/19\", \"Nevaeh, Piper, Kinsley, Olivia\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Kinsley, Olivia for 9 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Kinsley, Olivia late in the evening on 2021/02/19?\", \"9 minutes\"], [\"who did I talk to on 2021/02/19?\", \"Nevaeh, Piper, Kinsley, Olivia\"], [\"Did I talk to Nevaeh, Piper, Kinsley, Olivia on 2021/02/19?\", \"yes\"], [\"Did I talk to anyone on 2021/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16898\", \"logical_representation\": [\"2021/02/19\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/02/19?\", \"32 minutes\"], [\"what did I read on 2021/02/19?\", \"social media\"], [\"Did I read on 2021/02/19?\", \"yes\"]], 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I bought some raspberries, mineral water, mango juice, and conditioner, shampoo, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/01/03?\", \"raspberries, mineral water, mango juice, and conditioner, shampoo, shaving cream\"], [\"what fruits did I buy from the grocery store on 2021/01/03?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2021/01/03?\", \"mineral water, mango juice\"], [\"what toiletries did I buy from the grocery store on 2021/01/03?\", \"conditioner, shampoo, shaving cream\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16738\", \"logical_representation\": [\"2021/01/03\", \"running\"], \"text_template_based\": \"I did running on 2021/01/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/01/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16739\", \"logical_representation\": [\"2021/01/03\", \"lunch\", \"sandwich\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/01/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16740\", \"logical_representation\": [\"2021/01/03\", \"Kinsley\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I talked to Kinsley for 49 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the morning on 2021/01/03?\", \"49 minutes\"], [\"who did I talk to on 2021/01/03?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2021/01/03?\", \"yes\"], [\"Did I talk to anyone on 2021/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16741\", \"logical_representation\": [\"2021/01/03\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/01/03?\", \"36 minutes\"], [\"what did I read on 2021/01/03?\", \"news\"], [\"Did I read on 2021/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/07\": {\"grocery\": {\"eid\": \"e16614\", \"logical_representation\": [\"2021/01/07\", \"I bought some mandarins, nectarines, pineapples, raspberries, coffee, tea, shaving cream, toothpaste, mouthwash, mouth wash from the grocery store. I saw Lydia, Layla, Claire at the grocery store.\", \"mandarins, nectarines, pineapples, raspberries\", \"coffee, tea\", \"shaving cream, toothpaste, mouthwash, mouth wash\", \"Lydia, Layla, Claire\"], \"text_template_based\": \"I bought some mandarins, nectarines, pineapples, raspberries, coffee, tea, shaving cream, toothpaste, mouthwash, mouth wash from the grocery store. I saw Lydia, Layla, Claire at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/01/07?\", \"mandarins, nectarines, pineapples, raspberries, coffee, tea, and shaving cream, toothpaste, mouthwash, mouth wash\"], [\"what fruits did I buy from the grocery store on 2021/01/07?\", \"mandarins, nectarines, pineapples, raspberries\"], [\"what drinks did I buy from the grocery store on 2021/01/07?\", \"coffee, tea\"], [\"what toiletries did I buy from the grocery store on 2021/01/07?\", \"shaving cream, toothpaste, mouthwash, mouth wash\"], [\"who did I see at the grocery store on 2021/01/07?\", \"Lydia, Layla, Claire\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16755\", \"logical_representation\": [\"2021/01/07\", \"lunch\", \"fish and chips\", \"Kinsley, Hazel, Nora, Piper, Rylee, Claire, Piper, Nevaeh, Avery, Layla, Eva, Olivia, Lydia\"], \"text_template_based\": \"I had fish and chips for lunch with Kinsley, Hazel, Nora, Piper, Rylee, Claire, Piper, Nevaeh, Avery, Layla, Eva, Olivia, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/01/07?\", \"Kinsley, Hazel, Nora, Piper, Rylee, Claire, Piper, Nevaeh, Avery, Layla, Eva, Olivia, Lydia\"], [\"what did I eat for lunch on 2021/01/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16756\", \"logical_representation\": [\"2021/01/07\", \"dinner\", \"chinese food\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/01/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16757\", \"logical_representation\": [\"2021/01/07\", \"Kinsley, Rylee, Eva, Nora\", \"in the early afternoon\", \"55 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee, Eva, Nora for 55 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Eva, Nora in the early afternoon on 2021/01/07?\", \"55 minutes\"], [\"who did I talk to on 2021/01/07?\", \"Kinsley, Rylee, Eva, Nora\"], [\"Did I talk to Kinsley, Rylee, Eva, Nora on 2021/01/07?\", \"yes\"], [\"Did I talk to anyone on 2021/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16758\", \"logical_representation\": [\"2021/01/07\", \"Kinsley, Rylee\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee for 38 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee in the late afternoon on 2021/01/07?\", \"38 minutes\"], [\"who did I talk to on 2021/01/07?\", \"Kinsley, Rylee\"], [\"Did I talk to Kinsley, Rylee on 2021/01/07?\", \"yes\"], [\"Did I talk to anyone on 2021/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16759\", \"logical_representation\": [\"2021/01/07\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/01/07?\", \"24 minutes\"], [\"what did I read on 2021/01/07?\", \"social media\"], [\"Did I read on 2021/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/09\": {\"grocery\": {\"eid\": \"e16615\", \"logical_representation\": [\"2021/01/09\", \"I bought some strawberries, watermelons, blackberries, soda, sports drinks, guava juice, toilet paper from the grocery store. I saw Willow, Jackson at the grocery store.\", \"strawberries, watermelons, blackberries\", \"soda, sports drinks, guava juice\", \"toilet paper\", \"Willow, Jackson\"], \"text_template_based\": \"I bought some strawberries, watermelons, blackberries, soda, sports drinks, guava juice, toilet paper from the grocery store. I saw Willow, Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/01/09?\", \"strawberries, watermelons, blackberries, soda, sports drinks, guava juice, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2021/01/09?\", \"strawberries, watermelons, blackberries\"], [\"what drinks did I buy from the grocery store on 2021/01/09?\", \"soda, sports drinks, guava juice\"], [\"what toiletries did I buy from the grocery store on 2021/01/09?\", \"toilet paper\"], [\"who did I see at the grocery store on 2021/01/09?\", \"Willow, Jackson\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16763\", \"logical_representation\": [\"2021/01/09\", \"lunch\", \"steak\", \"Kayden, Emily\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/01/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16764\", \"logical_representation\": [\"2021/01/09\", \"dinner\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/01/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16765\", \"logical_representation\": [\"2021/01/09\", \"Layla, Avery\", \"in the morning\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Layla, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery in the morning on 2021/01/09?\", \"24 minutes\"], [\"who did I talk to on 2021/01/09?\", \"Layla, Avery\"], [\"Did I talk to Layla, Avery on 2021/01/09?\", \"yes\"], [\"Did I talk to anyone on 2021/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16766\", \"logical_representation\": [\"2021/01/09\", \"Piper, Claire\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Piper, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire in the late afternoon on 2021/01/09?\", \"41 minutes\"], [\"who did I talk to on 2021/01/09?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2021/01/09?\", \"yes\"], [\"Did I talk to anyone on 2021/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16767\", \"logical_representation\": [\"2021/01/09\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/01/09?\", \"50 minutes\"], [\"what did I read on 2021/01/09?\", \"a book\"], [\"Did I read on 2021/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/16\": {\"bake\": {\"eid\": \"e16616\", \"logical_representation\": [\"2021/01/16\", \"I entertained Andrew at my place on 2021/01/16 and bake easy peanut butter fudge, homemade toaster pastries\", \"bake\", \"easy peanut butter fudge, homemade toaster pastries\", \"Andrew\", \"my place\"], \"text_template_based\": \"I entertained Andrew at my place on 2021/01/16 and bake easy peanut butter fudge, homemade toaster pastries\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake easy peanut butter fudge, homemade toaster pastries with Andrew?\", \"2021/01/16\"], [\"what did I bake on 2021/01/16?\", \"easy peanut butter fudge, homemade toaster pastries\"], [\"who was I with when I  easy peanut butter fudge, homemade toaster pastries on 2021/01/16?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16789\", \"logical_representation\": [\"2021/01/16\", \"biking\"], \"text_template_based\": \"I did biking on 2021/01/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/01/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16790\", \"logical_representation\": [\"2021/01/16\", \"breakfast\", \"cereals\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/01/16\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16791\", \"logical_representation\": [\"2021/01/16\", \"Rylee\", \"late in the evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee late in the evening on 2021/01/16?\", \"51 minutes\"], [\"who did I talk to on 2021/01/16?\", \"Rylee\"], [\"Did I talk to Rylee on 2021/01/16?\", \"yes\"], [\"Did I talk to anyone on 2021/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16792\", \"logical_representation\": [\"2021/01/16\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/01/16?\", \"43 minutes\"], [\"what did I read on 2021/01/16?\", \"social media\"], [\"Did I read on 2021/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16793\", \"logical_representation\": [\"2021/01/16\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I watched a documentary for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/01/16?\", \"50 minutes\"], [\"what did I watch on tv on 2021/01/16?\", \"a documentary\"], [\"Did I watch tv on 2021/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/17\": {\"hobbies\": {\"eid\": \"e16617\", \"logical_representation\": [\"2021/01/17\", \"I spent some time learning a language on 2021/01/17.\", \"learning a language\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I spent some time learning a language on 2021/01/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2021/01/17\"], [\"On 2021/01/17, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16794\", \"logical_representation\": [\"2021/01/17\", \"lunch\", \"tacos\", \"Nora, Olivia, Hazel, Claire\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/01/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16795\", \"logical_representation\": [\"2021/01/17\", \"dinner\", \"indian food\", \"Jackson, Willow\"], \"text_template_based\": \"I had dinner with Jackson, Willow. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/01/17?\", \"Jackson, Willow\"], [\"what did I eat for dinner on 2021/01/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16796\", \"logical_representation\": [\"2021/01/17\", \"Kinsley, Nevaeh, Layla, Nora\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh, Layla, Nora for 9 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Layla, Nora during lunch hours on 2021/01/17?\", \"9 minutes\"], [\"who did I talk to on 2021/01/17?\", \"Kinsley, Nevaeh, Layla, Nora\"], [\"Did I talk to Kinsley, Nevaeh, Layla, Nora on 2021/01/17?\", \"yes\"], [\"Did I talk to anyone on 2021/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/21\": {\"hobbies\": {\"eid\": \"e16618\", \"logical_representation\": [\"2021/01/21\", \"I spent some time gardening on 2021/01/21.\", \"gardening\", \"Emily, Andrew\"], \"text_template_based\": \"I spent some time gardening on 2021/01/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2021/01/21\"], [\"On 2021/01/21, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16805\", \"logical_representation\": [\"2021/01/21\", \"dinner\", \"fish and chips\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/01/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16806\", \"logical_representation\": [\"2021/01/21\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/01/21?\", \"35 minutes\"], [\"what did I watch on tv on 2021/01/21?\", \"news\"], [\"Did I watch tv on 2021/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/27\": {\"grocery\": {\"eid\": \"e16619\", \"logical_representation\": [\"2021/01/27\", \"I bought some peaches, apples, cherres, strawberries, pineapple juice, apple juice, body lotion, mouth wash from the grocery store. I saw Piper, Rylee, Layla, Lydia, Eva, Claire, Avery, Piper, Olivia, Nevaeh, Nora, Kinsley, Hazel at the grocery store.\", \"peaches, apples, cherres, strawberries\", \"pineapple juice, apple juice\", \"body lotion, mouth wash\", \"Piper, Rylee, Layla, Lydia, Eva, Claire, Avery, Piper, Olivia, Nevaeh, Nora, Kinsley, Hazel\"], \"text_template_based\": \"I bought some peaches, apples, cherres, strawberries, pineapple juice, apple juice, body lotion, mouth wash from the grocery store. I saw Piper, Rylee, Layla, Lydia, Eva, Claire, Avery, Piper, Olivia, Nevaeh, Nora, Kinsley, Hazel at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/01/27?\", \"peaches, apples, cherres, strawberries, pineapple juice, apple juice, and body lotion, mouth wash\"], [\"what fruits did I buy from the grocery store on 2021/01/27?\", \"peaches, apples, cherres, strawberries\"], [\"what drinks did I buy from the grocery store on 2021/01/27?\", \"pineapple juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2021/01/27?\", \"body lotion, mouth wash\"], [\"who did I see at the grocery store on 2021/01/27?\", \"Piper, Rylee, Layla, Lydia, Eva, Claire, Avery, Piper, Olivia, Nevaeh, Nora, Kinsley, Hazel\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16819\", \"logical_representation\": [\"2021/01/27\", \"lunch\", \"pasta\", \"Layla, Olivia, Rylee, Eva, Lydia, Avery, Piper\"], \"text_template_based\": \"I had lunch with Layla, Olivia, Rylee, Eva, Lydia, Avery, Piper. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/01/27?\", \"Layla, Olivia, Rylee, Eva, Lydia, Avery, Piper\"], [\"what did I eat for lunch on 2021/01/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16820\", \"logical_representation\": [\"2021/01/27\", \"Lydia, Kinsley\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Lydia, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley in the early afternoon on 2021/01/27?\", \"10 minutes\"], [\"who did I talk to on 2021/01/27?\", \"Lydia, Kinsley\"], [\"Did I talk to Lydia, Kinsley on 2021/01/27?\", \"yes\"], [\"Did I talk to anyone on 2021/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16821\", \"logical_representation\": [\"2021/01/27\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/01/27?\", \"22 minutes\"], [\"what did I read on 2021/01/27?\", \"a book\"], [\"Did I read on 2021/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16822\", \"logical_representation\": [\"2021/01/27\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I watched a tv series for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/01/27?\", \"6 minutes\"], [\"what did I watch on tv on 2021/01/27?\", \"a tv series\"], [\"Did I watch tv on 2021/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/31\": {\"dating\": {\"eid\": \"e16620\", \"logical_representation\": [\"2021/01/31\", \"Owen\", \"a restaurant\"], \"text_template_based\": \"On 2021/01/31, I took Owen on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/01/31\", \"Owen\"], [\"where did I go for the date on 2021/01/31\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16834\", \"logical_representation\": [\"2021/01/31\", \"running\"], \"text_template_based\": \"I did running on 2021/01/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/01/31?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16835\", \"logical_representation\": [\"2021/01/31\", \"lunch\", \"fish and chips\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch with Emily, Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/01/31?\", \"Emily, Carter\"], [\"what did I eat for lunch on 2021/01/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16836\", \"logical_representation\": [\"2021/01/31\", \"dinner\", \"pasta\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/01/31\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16837\", \"logical_representation\": [\"2021/01/31\", \"Claire, Piper\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Claire, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper during lunch hours on 2021/01/31?\", \"39 minutes\"], [\"who did I talk to on 2021/01/31?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2021/01/31?\", \"yes\"], [\"Did I talk to anyone on 2021/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16838\", \"logical_representation\": [\"2021/01/31\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/01/31?\", \"34 minutes\"], [\"what did I read on 2021/01/31?\", \"news\"], [\"Did I read on 2021/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/30\": {\"grocery\": {\"eid\": \"e16621\", \"logical_representation\": [\"2021/01/30\", \"I went grocery shopping with Carter, Andrew, Kayden, Emily. I bought some watermelons, oranges, chocolate milk, sports drinks, mineral water, tea, and facial wash, mouth wash, mouthwash, toilet paper\", \"watermelons, oranges\", \"chocolate milk, sports drinks, mineral water, tea\", \"facial wash, mouth wash, mouthwash, toilet paper\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping with Carter, Andrew, Kayden, Emily. I bought some watermelons, oranges, chocolate milk, sports drinks, mineral water, tea, and facial wash, mouth wash, mouthwash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/01/30?\", \"watermelons, oranges, chocolate milk, sports drinks, mineral water, tea, and facial wash, mouth wash, mouthwash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2021/01/30?\", \"watermelons, oranges\"], [\"what drinks did I buy from the grocery store on 2021/01/30?\", \"chocolate milk, sports drinks, mineral water, tea\"], [\"what toiletries did I buy from the grocery store on 2021/01/30?\", \"facial wash, mouth wash, mouthwash, toilet paper\"], [\"who was with me at the grocery store on 2021/01/30?\", \"Carter, Andrew, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16830\", \"logical_representation\": [\"2021/01/30\", \"dinner\", \"sandwich\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/01/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16831\", \"logical_representation\": [\"2021/01/30\", \"Lydia\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2021/01/30?\", \"38 minutes\"], [\"who did I talk to on 2021/01/30?\", \"Lydia\"], [\"Did I talk to Lydia on 2021/01/30?\", \"yes\"], [\"Did I talk to anyone on 2021/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16832\", \"logical_representation\": [\"2021/01/30\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/01/30?\", \"12 minutes\"], [\"what did I read on 2021/01/30?\", \"news\"], [\"Did I read on 2021/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16833\", \"logical_representation\": [\"2021/01/30\", \"a tv series\", \"16 minutes\"], \"text_template_based\": \"I watched a tv series for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/01/30?\", \"16 minutes\"], [\"what did I watch on tv on 2021/01/30?\", \"a tv series\"], [\"Did I watch tv on 2021/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/05\": {\"dating\": {\"eid\": \"e16622\", \"logical_representation\": [\"2021/02/05\", \"Ryan\", \"a restaurant\"], \"text_template_based\": \"On 2021/02/05, I took Ryan on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/02/05\", \"Ryan\"], [\"where did I go for the date on 2021/02/05\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e16623\", \"logical_representation\": [\"2021/02/05\", \"I spent time learning a language on 2021/02/05 with Kayden, Andrew.\", \"learning a language\", \"Kayden, Andrew\"], \"text_template_based\": \"I spent time learning a language on 2021/02/05 with Kayden, Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Kayden, Andrew?\", \"2021/02/05\"], [\"On 2021/02/05, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2021/02/05?\", \"Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16853\", \"logical_representation\": [\"2021/02/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/02/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/02/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16854\", \"logical_representation\": [\"2021/02/05\", \"dinner\", \"steak\", \"Piper, Nevaeh, Layla, Eva, Lydia, Rylee, Olivia, Avery, Piper, Kinsley, Nora, Claire, Hazel\"], \"text_template_based\": \"I had steak for dinner with Piper, Nevaeh, Layla, Eva, Lydia, Rylee, Olivia, Avery, Piper, Kinsley, Nora, Claire, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/02/05?\", \"Piper, Nevaeh, Layla, Eva, Lydia, Rylee, Olivia, Avery, Piper, Kinsley, Nora, Claire, Hazel\"], [\"what did I eat for dinner on 2021/02/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16855\", \"logical_representation\": [\"2021/02/05\", \"Rylee\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Rylee for 23 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2021/02/05?\", \"23 minutes\"], [\"who did I talk to on 2021/02/05?\", \"Rylee\"], [\"Did I talk to Rylee on 2021/02/05?\", \"yes\"], [\"Did I talk to anyone on 2021/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/08\": {\"hobbies\": {\"eid\": \"e16624\", \"logical_representation\": [\"2021/02/08\", \"I really enjoyed yoga on 2021/02/08\", \"yoga\", \"Piper, Nevaeh, Nora\"], \"text_template_based\": \"I really enjoyed yoga on 2021/02/08\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2021/02/08\"], [\"On 2021/02/08, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16859\", \"logical_representation\": [\"2021/02/08\", \"breakfast\", \"pancakes\", \"Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/02/08\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16860\", \"logical_representation\": [\"2021/02/08\", \"lunch\", \"tacos\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/02/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16861\", \"logical_representation\": [\"2021/02/08\", \"dinner\", \"sandwich\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Jackson. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/02/08?\", \"Benjamin, Jackson\"], [\"what did I eat for dinner on 2021/02/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16862\", \"logical_representation\": [\"2021/02/08\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/02/08?\", \"10 minutes\"], [\"what did I read on 2021/02/08?\", \"social media\"], [\"Did I read on 2021/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/06\": {\"grocery\": {\"eid\": \"e16625\", \"logical_representation\": [\"2021/02/06\", \"I went grocery shopping. I bought some blackberries, tea, soda, and toothbrush\", \"blackberries\", \"tea, soda\", \"toothbrush\", \"Willow, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some blackberries, tea, soda, and toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/02/06?\", \"blackberries, tea, soda, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2021/02/06?\", \"blackberries\"], [\"what drinks did I buy from the grocery store on 2021/02/06?\", \"tea, soda\"], [\"what toiletries did I buy from the grocery store on 2021/02/06?\", \"toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16856\", \"logical_representation\": [\"2021/02/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/02/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/02/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2021/02/10\": {\"grocery\": {\"eid\": \"e16626\", \"logical_representation\": [\"2021/02/10\", \"I bought some apples, cherres, sports drinks, coffee, facial wash, toilet paper from the grocery store. I saw Kayden, Andrew, Carter, Emily at the grocery store.\", \"apples, cherres\", \"sports drinks, coffee\", \"facial wash, toilet paper\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I bought some apples, cherres, sports drinks, coffee, facial wash, toilet paper from the grocery store. I saw Kayden, Andrew, Carter, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/02/10?\", \"apples, cherres, sports drinks, coffee, and facial wash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2021/02/10?\", \"apples, cherres\"], [\"what drinks did I buy from the grocery store on 2021/02/10?\", \"sports drinks, coffee\"], [\"what toiletries did I buy from the grocery store on 2021/02/10?\", \"facial wash, toilet paper\"], [\"who did I see at the grocery store on 2021/02/10?\", \"Kayden, Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16867\", \"logical_representation\": [\"2021/02/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/02/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/02/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16868\", \"logical_representation\": [\"2021/02/10\", \"breakfast\", \"cereals\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/02/10\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16869\", \"logical_representation\": [\"2021/02/10\", \"Claire\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2021/02/10?\", \"35 minutes\"], [\"who did I talk to on 2021/02/10?\", \"Claire\"], [\"Did I talk to Claire on 2021/02/10?\", \"yes\"], [\"Did I talk to anyone on 2021/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16870\", \"logical_representation\": [\"2021/02/10\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/02/10?\", \"13 minutes\"], [\"what did I read on 2021/02/10?\", \"social media\"], [\"Did I read on 2021/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16871\", \"logical_representation\": [\"2021/02/10\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I watched a movie for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/02/10?\", \"26 minutes\"], [\"what did I watch on tv on 2021/02/10?\", \"a movie\"], [\"Did I watch tv on 2021/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/12\": {\"bake\": {\"eid\": \"e16627\", \"logical_representation\": [\"2021/02/12\", \"I was baking cinnamon sheet cake with cider frosting, gluten-free apple rose tart on 2021/02/12 with Jackson, Avery, Willow at my place\", \"bake\", \"cinnamon sheet cake with cider frosting, gluten-free apple rose tart\", \"Jackson, Avery, Willow\", \"my place\"], \"text_template_based\": \"I was baking cinnamon sheet cake with cider frosting, gluten-free apple rose tart on 2021/02/12 with Jackson, Avery, Willow at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  cinnamon sheet cake with cider frosting, gluten-free apple rose tart with Jackson, Avery, Willow?\", \"2021/02/12\"], [\"what did I  on 2021/02/12?\", \"cinnamon sheet cake with cider frosting, gluten-free apple rose tart\"], [\"who was I with when I  cinnamon sheet cake with cider frosting, gluten-free apple rose tart on 2021/02/12?\", \"Jackson, Avery, Willow\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e16629\", \"logical_representation\": [\"2021/02/12\", \"Roman\", \"a restaurant\"], \"text_template_based\": \"On 2021/02/12, I took Roman on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/02/12\", \"Roman\"], [\"where did I go for the date on 2021/02/12\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16876\", \"logical_representation\": [\"2021/02/12\", \"running\"], \"text_template_based\": \"I did running on 2021/02/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/02/12?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2021/02/17\": {\"bake\": {\"eid\": \"e16628\", \"logical_representation\": [\"2021/02/17\", \"I really enjoyed baking giant cinnamon roll, carrot cake, easy peanut butter fudge on 2021/02/17 with Willow, Jackson at my place\", \"bake\", \"giant cinnamon roll, carrot cake, easy peanut butter fudge\", \"Willow, Jackson\", \"my place\"], \"text_template_based\": \"I really enjoyed baking giant cinnamon roll, carrot cake, easy peanut butter fudge on 2021/02/17 with Willow, Jackson at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  giant cinnamon roll, carrot cake, easy peanut butter fudge with Willow, Jackson?\", \"2021/02/17\"], [\"what did I  on 2021/02/17?\", \"giant cinnamon roll, carrot cake, easy peanut butter fudge\"], [\"who was I with when I  giant cinnamon roll, carrot cake, easy peanut butter fudge on 2021/02/17?\", \"Willow, Jackson\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e16632\", \"logical_representation\": [\"2021/02/17\", \"I bought some cherres, mangos, milk, shampoo, toothpaste, shaving cream online.\", \"cherres, mangos\", \"milk\", \"shampoo, toothpaste, shaving cream\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I bought some cherres, mangos, milk, shampoo, toothpaste, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/02/17?\", \"cherres, mangos, milk, and shampoo, toothpaste, shaving cream\"], [\"what fruits did I buy online on 2021/02/17?\", \"cherres, mangos\"], [\"what drinks did I buy online on 2021/02/17?\", \"milk\"], [\"what toiletries did I buy online on 2021/02/17?\", \"shampoo, toothpaste, shaving cream\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16890\", \"logical_representation\": [\"2021/02/17\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/02/17\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16891\", \"logical_representation\": [\"2021/02/17\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/02/17?\", \"46 minutes\"], [\"what did I watch on tv on 2021/02/17?\", \"a movie\"], [\"Did I watch tv on 2021/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/15\": {\"dating\": {\"eid\": \"e16630\", \"logical_representation\": [\"2021/02/15\", \"Ethan\", \"a coffee Shop\"], \"text_template_based\": \"On 2021/02/15, I took Ethan on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/02/15\", \"Ethan\"], [\"where did I go for the date on 2021/02/15\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16884\", \"logical_representation\": [\"2021/02/15\", \"dinner\", \"pasta\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/02/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16885\", \"logical_representation\": [\"2021/02/15\", \"Nevaeh, Avery, Rylee\", \"during lunch hours\", \"30 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Avery, Rylee for 30 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Rylee during lunch hours on 2021/02/15?\", \"30 minutes\"], [\"who did I talk to on 2021/02/15?\", \"Nevaeh, Avery, Rylee\"], [\"Did I talk to Nevaeh, Avery, Rylee on 2021/02/15?\", \"yes\"], [\"Did I talk to anyone on 2021/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16886\", \"logical_representation\": [\"2021/02/15\", \"Kinsley, Layla\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Kinsley, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla in the early afternoon on 2021/02/15?\", \"52 minutes\"], [\"who did I talk to on 2021/02/15?\", \"Kinsley, Layla\"], [\"Did I talk to Kinsley, Layla on 2021/02/15?\", \"yes\"], [\"Did I talk to anyone on 2021/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/14\": {\"grocery\": {\"eid\": \"e16631\", \"logical_representation\": [\"2021/02/14\", \"I bought some clementines, mandarins, cherres, blueberries, coffee, tea, soda, shaving cream, toothpaste, conditioner online.\", \"clementines, mandarins, cherres, blueberries\", \"coffee, tea, soda\", \"shaving cream, toothpaste, conditioner\", \"Piper, Hazel, Rylee\"], \"text_template_based\": \"I bought some clementines, mandarins, cherres, blueberries, coffee, tea, soda, shaving cream, toothpaste, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/02/14?\", \"clementines, mandarins, cherres, blueberries, coffee, tea, soda, and shaving cream, toothpaste, conditioner\"], [\"what fruits did I buy online on 2021/02/14?\", \"clementines, mandarins, cherres, blueberries\"], [\"what drinks did I buy online on 2021/02/14?\", \"coffee, tea, soda\"], [\"what toiletries did I buy online on 2021/02/14?\", \"shaving cream, toothpaste, conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16881\", \"logical_representation\": [\"2021/02/14\", \"breakfast\", \"cereals\", \"Kinsley, Rylee, Olivia, Nevaeh, Eva, Hazel\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/02/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16882\", \"logical_representation\": [\"2021/02/14\", \"lunch\", \"chinese food\", \"Benjamin, Avery\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/02/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16883\", \"logical_representation\": [\"2021/02/14\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/02/14?\", \"27 minutes\"], [\"what did I read on 2021/02/14?\", \"news\"], [\"Did I read on 2021/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/27\": {\"bake\": {\"eid\": \"e16634\", \"logical_representation\": [\"2021/02/27\", \"I really enjoyed baking easy chocolate marshmallow cups on 2021/02/27 with Piper, Nora, Eva, Avery at my place\", \"bake\", \"easy chocolate marshmallow cups\", \"Piper, Nora, Eva, Avery\", \"my place\"], \"text_template_based\": \"I really enjoyed baking easy chocolate marshmallow cups on 2021/02/27 with Piper, Nora, Eva, Avery at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  easy chocolate marshmallow cups with Piper, Nora, Eva, Avery?\", \"2021/02/27\"], [\"what did I  on 2021/02/27?\", \"easy chocolate marshmallow cups\"], [\"who was I with when I  easy chocolate marshmallow cups on 2021/02/27?\", \"Piper, Nora, Eva, Avery\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e16636\", \"logical_representation\": [\"2021/02/27\", \"I bought some oranges, watermelons, blackberries, apple juice, guava juice, milk, toothbrush, facial wash, toilet paper, shampoo from the grocery store. I saw Emily, Kayden, Andrew at the grocery store.\", \"oranges, watermelons, blackberries\", \"apple juice, guava juice, milk\", \"toothbrush, facial wash, toilet paper, shampoo\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I bought some oranges, watermelons, blackberries, apple juice, guava juice, milk, toothbrush, facial wash, toilet paper, shampoo from the grocery store. I saw Emily, Kayden, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/02/27?\", \"oranges, watermelons, blackberries, apple juice, guava juice, milk, and toothbrush, facial wash, toilet paper, shampoo\"], [\"what fruits did I buy from the grocery store on 2021/02/27?\", \"oranges, watermelons, blackberries\"], [\"what drinks did I buy from the grocery store on 2021/02/27?\", \"apple juice, guava juice, milk\"], [\"what toiletries did I buy from the grocery store on 2021/02/27?\", \"toothbrush, facial wash, toilet paper, shampoo\"], [\"who did I see at the grocery store on 2021/02/27?\", \"Emily, Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16914\", \"logical_representation\": [\"2021/02/27\", \"lunch\", \"fish and chips\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had fish and chips for lunch with Carter, Emily, Kayden, Andrew\", \"text_model_based\": 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[\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Andrew, Emily, Kayden?\", \"2021/02/28\"], [\"On 2021/02/28, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2021/02/28?\", \"Andrew, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16916\", \"logical_representation\": [\"2021/02/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/02/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/02/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16917\", \"logical_representation\": [\"2021/02/28\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/02/28?\", \"Andrew\"], [\"what did I eat for breakfast on 2021/02/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16918\", \"logical_representation\": [\"2021/02/28\", \"Piper, Avery\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I talked to Piper, Avery for 21 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery in the early afternoon on 2021/02/28?\", \"21 minutes\"], [\"who did I talk to on 2021/02/28?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2021/02/28?\", \"yes\"], [\"Did I talk to anyone on 2021/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/01\": {\"grocery\": {\"eid\": \"e16637\", \"logical_representation\": [\"2021/03/01\", \"I bought some nectarines, sports drinks, milk, mouth wash, shampoo online.\", \"nectarines\", \"sports drinks, milk\", \"mouth wash, shampoo\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I bought some nectarines, sports drinks, milk, mouth wash, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/03/01?\", \"nectarines, sports drinks, milk, and mouth wash, shampoo\"], [\"what fruits did I buy online on 2021/03/01?\", \"nectarines\"], [\"what drinks did I buy online on 2021/03/01?\", \"sports drinks, milk\"], [\"what toiletries did I buy online on 2021/03/01?\", \"mouth wash, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16919\", \"logical_representation\": [\"2021/03/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/03/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16920\", \"logical_representation\": [\"2021/03/01\", \"lunch\", \"fish and chips\", \"Piper, Kinsley, Avery, Piper, Lydia, Hazel, Olivia, Rylee, Nora, Layla, Nevaeh, Claire\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16921\", \"logical_representation\": [\"2021/03/01\", \"Nora, Rylee\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Nora, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee late in the evening on 2021/03/01?\", \"32 minutes\"], [\"who did I talk to on 2021/03/01?\", \"Nora, Rylee\"], [\"Did I talk to Nora, Rylee on 2021/03/01?\", \"yes\"], [\"Did I talk to anyone on 2021/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16922\", \"logical_representation\": [\"2021/03/01\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/03/01?\", \"51 minutes\"], [\"what did I read on 2021/03/01?\", \"news\"], [\"Did I read on 2021/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/08\": {\"grocery\": {\"eid\": \"e16638\", \"logical_representation\": [\"2021/03/08\", \"I bought some apples, peaches, mineral water, apple juice, tea, guava juice, toilet paper, paper towel from the grocery store. I saw Andrew at the grocery store.\", \"apples, peaches\", \"mineral water, apple juice, tea, guava juice\", \"toilet paper, paper towel\", \"Andrew\"], \"text_template_based\": \"I bought some apples, peaches, mineral water, apple juice, tea, guava juice, toilet paper, paper towel from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/03/08?\", \"apples, peaches, mineral water, apple juice, tea, guava juice, and toilet paper, paper towel\"], [\"what fruits did I buy from the grocery store on 2021/03/08?\", \"apples, peaches\"], [\"what drinks did I buy from the grocery store on 2021/03/08?\", \"mineral water, apple juice, tea, guava juice\"], [\"what toiletries did I buy from the grocery store on 2021/03/08?\", \"toilet paper, paper towel\"], [\"who did I see at the grocery store on 2021/03/08?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e16952\", \"logical_representation\": [\"2021/03/08\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/03/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/08?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16953\", \"logical_representation\": [\"2021/03/08\", \"Nevaeh\", \"in the early evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 45 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2021/03/08?\", \"45 minutes\"], [\"who did I talk to on 2021/03/08?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2021/03/08?\", \"yes\"], [\"Did I talk to anyone on 2021/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16954\", \"logical_representation\": [\"2021/03/08\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/03/08?\", \"14 minutes\"], [\"what did I read on 2021/03/08?\", \"a book\"], [\"Did I read on 2021/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16955\", \"logical_representation\": [\"2021/03/08\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I watched a documentary for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/08?\", \"43 minutes\"], [\"what did I watch on tv on 2021/03/08?\", \"a documentary\"], [\"Did I watch tv on 2021/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/18\": {\"grocery\": {\"eid\": \"e16639\", \"logical_representation\": [\"2021/03/18\", \"I bought some watermelons, mango juice, guava juice, mouth wash online.\", \"watermelons\", \"mango juice, guava juice\", \"mouth wash\", \"Carter\"], \"text_template_based\": \"I bought some watermelons, mango juice, guava juice, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/03/18?\", \"watermelons, mango juice, guava juice, and mouth wash\"], [\"what fruits did I buy online on 2021/03/18?\", \"watermelons\"], [\"what drinks did I buy online on 2021/03/18?\", \"mango juice, guava juice\"], [\"what toiletries did I buy online on 2021/03/18?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16985\", \"logical_representation\": [\"2021/03/18\", \"breakfast\", \"oatmeal\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/03/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16986\", \"logical_representation\": [\"2021/03/18\", \"dinner\", \"fish and chips\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16987\", \"logical_representation\": [\"2021/03/18\", \"Claire\", \"in the early evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Claire for 13 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2021/03/18?\", \"13 minutes\"], [\"who did I talk to on 2021/03/18?\", \"Claire\"], [\"Did I talk to Claire on 2021/03/18?\", \"yes\"], [\"Did I talk to anyone on 2021/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/22\": {\"dating\": {\"eid\": \"e16640\", \"logical_representation\": [\"2021/03/22\", \"Isaiah\", \"a boba shop\"], \"text_template_based\": \"On 2021/03/22, I took Isaiah on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/03/22\", \"Isaiah\"], [\"where did I go for the date on 2021/03/22\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e16641\", \"logical_representation\": [\"2021/03/22\", \"I bought some strawberries, blueberries, pineapple juice, chocolate milk, guava juice, tea, mouth wash, mouthwash online.\", \"strawberries, blueberries\", \"pineapple juice, chocolate milk, guava juice, tea\", \"mouth wash, mouthwash\", \"Andrew\"], \"text_template_based\": \"I bought some strawberries, blueberries, pineapple juice, chocolate milk, guava juice, tea, mouth wash, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/03/22?\", \"strawberries, blueberries, pineapple juice, chocolate milk, guava juice, tea, and mouth wash, mouthwash\"], [\"what fruits did I buy online on 2021/03/22?\", \"strawberries, blueberries\"], [\"what drinks did I buy online on 2021/03/22?\", \"pineapple juice, chocolate milk, guava juice, tea\"], [\"what toiletries did I buy online on 2021/03/22?\", \"mouth wash, mouthwash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17001\", \"logical_representation\": [\"2021/03/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Layla, Claire, Nora, Hazel, Piper\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/03/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17002\", \"logical_representation\": [\"2021/03/22\", \"Claire\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2021/03/22?\", \"40 minutes\"], [\"who did I talk to on 2021/03/22?\", \"Claire\"], [\"Did I talk to Claire on 2021/03/22?\", \"yes\"], [\"Did I talk to anyone on 2021/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17003\", \"logical_representation\": [\"2021/03/22\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/03/22?\", \"7 minutes\"], [\"what did I read on 2021/03/22?\", \"news\"], [\"Did I read on 2021/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/26\": {\"grocery\": {\"eid\": \"e16642\", \"logical_representation\": [\"2021/03/26\", \"I went grocery shopping. I bought some blackberries, nectarines, pineapple juice, soda, and toothpaste, conditioner, facial wash, shaving cream\", \"blackberries, nectarines\", \"pineapple juice, soda\", \"toothpaste, conditioner, facial wash, shaving cream\", \"Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some blackberries, nectarines, pineapple juice, soda, and toothpaste, conditioner, facial wash, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/03/26?\", \"blackberries, nectarines, pineapple juice, soda, and toothpaste, conditioner, facial wash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2021/03/26?\", \"blackberries, nectarines\"], [\"what drinks did I buy from the grocery store on 2021/03/26?\", \"pineapple juice, soda\"], [\"what toiletries did I buy from the grocery store on 2021/03/26?\", \"toothpaste, conditioner, facial wash, shaving cream\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17014\", \"logical_representation\": [\"2021/03/26\", \"running\"], \"text_template_based\": \"I did running on 2021/03/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17015\", \"logical_representation\": [\"2021/03/26\", \"dinner\", \"tacos\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17016\", \"logical_representation\": [\"2021/03/26\", \"Eva, Kinsley, Nevaeh, Avery\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Eva, Kinsley, Nevaeh, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Nevaeh, Avery during lunch hours on 2021/03/26?\", \"38 minutes\"], [\"who did I talk to on 2021/03/26?\", \"Eva, Kinsley, Nevaeh, Avery\"], [\"Did I talk to Eva, Kinsley, Nevaeh, Avery on 2021/03/26?\", \"yes\"], [\"Did I talk to anyone on 2021/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17017\", \"logical_representation\": [\"2021/03/26\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/03/26?\", \"11 minutes\"], [\"what did I read on 2021/03/26?\", \"social media\"], [\"Did I read on 2021/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/01\": {\"grocery\": {\"eid\": \"e16643\", \"logical_representation\": [\"2021/04/01\", \"I went grocery shopping with Nevaeh, Claire, Layla, Piper, Piper, Lydia, Rylee. I bought some mandarins, mango juice, mineral water, orange juice, and body lotion\", \"mandarins\", \"mango juice, mineral water, orange juice\", \"body lotion\", \"Nevaeh, Claire, Layla, Piper, Piper, Lydia, Rylee\"], \"text_template_based\": \"I went grocery shopping with Nevaeh, Claire, Layla, Piper, Piper, Lydia, Rylee. I bought some mandarins, mango juice, mineral water, orange juice, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/04/01?\", \"mandarins, mango juice, mineral water, orange juice, and body lotion\"], [\"what fruits did I buy from the grocery store on 2021/04/01?\", \"mandarins\"], [\"what drinks did I buy from the grocery store on 2021/04/01?\", \"mango juice, mineral water, orange juice\"], [\"what toiletries did I buy from the grocery store on 2021/04/01?\", \"body lotion\"], [\"who was with me at the grocery store on 2021/04/01?\", \"Nevaeh, Claire, Layla, Piper, Piper, Lydia, Rylee\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17036\", \"logical_representation\": [\"2021/04/01\", \"breakfast\", \"cereals\", \"Eva, Hazel, Nora, Lydia, Piper, Rylee, Avery\"], \"text_template_based\": \"I had breakfast with Eva, Hazel, Nora, Lydia, Piper, Rylee, Avery. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/04/01?\", \"Eva, Hazel, Nora, Lydia, Piper, Rylee, Avery\"], [\"what did I eat for breakfast on 2021/04/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17037\", \"logical_representation\": [\"2021/04/01\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/04/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2021/04/14\": {\"dating\": {\"eid\": \"e16644\", \"logical_representation\": [\"2021/04/14\", \"Hudson\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Hudson on 2021/04/14 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/04/14\", \"Hudson\"], [\"where did I go for the date on 2021/04/14\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e16646\", \"logical_representation\": [\"2021/04/14\", \"I bought some peaches, apple juice, sports drinks, facial wash, mouth wash online.\", \"peaches\", \"apple juice, sports drinks\", \"facial wash, mouth wash\", \"Avery, Eva, Nora, Olivia\"], \"text_template_based\": \"I bought some peaches, apple juice, sports drinks, facial wash, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/04/14?\", \"peaches, apple juice, sports drinks, and facial wash, mouth wash\"], [\"what fruits did I buy online on 2021/04/14?\", \"peaches\"], [\"what drinks did I buy online on 2021/04/14?\", \"apple juice, sports drinks\"], [\"what toiletries did I buy online on 2021/04/14?\", \"facial wash, mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17084\", \"logical_representation\": [\"2021/04/14\", \"breakfast\", \"cereals\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I had breakfast. 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I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/04/30?\", \"Claire, Layla, Lydia, Avery, Piper, Rylee, Hazel\"], [\"what did I eat for lunch on 2021/04/30\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/05/01\": {\"grocery\": {\"eid\": \"e16655\", \"logical_representation\": [\"2021/05/01\", \"I bought some cherres, mangos, oranges, blueberries, mineral water, facial wash, mouth wash from the grocery store. I saw Piper, Olivia, Avery, Claire, Kinsley, Layla at the grocery store.\", \"cherres, mangos, oranges, blueberries\", \"mineral water\", \"facial wash, mouth wash\", \"Piper, Olivia, Avery, Claire, Kinsley, Layla\"], \"text_template_based\": \"I bought some cherres, mangos, oranges, blueberries, mineral water, facial wash, mouth wash from the grocery store. I saw Piper, Olivia, Avery, Claire, Kinsley, Layla at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/05/01?\", \"cherres, mangos, oranges, blueberries, mineral water, and facial wash, mouth wash\"], [\"what fruits did I buy from the grocery store on 2021/05/01?\", \"cherres, mangos, oranges, blueberries\"], [\"what drinks did I buy from the grocery store on 2021/05/01?\", \"mineral water\"], [\"what toiletries did I buy from the grocery store on 2021/05/01?\", \"facial wash, mouth wash\"], [\"who did I see at the grocery store on 2021/05/01?\", \"Piper, Olivia, Avery, Claire, Kinsley, Layla\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17146\", \"logical_representation\": [\"2021/05/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/05/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17147\", \"logical_representation\": [\"2021/05/01\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/05/01?\", \"16 minutes\"], [\"what did I read on 2021/05/01?\", \"social media\"], [\"Did I read on 2021/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17148\", \"logical_representation\": [\"2021/05/01\", \"a documentary\", \"12 minutes\"], \"text_template_based\": \"I watched a documentary for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/01?\", \"12 minutes\"], [\"what did I watch on tv on 2021/05/01?\", \"a documentary\"], [\"Did I watch tv on 2021/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/10\": {\"dating\": {\"eid\": \"e16656\", \"logical_representation\": [\"2021/05/10\", \"Skylar\", \"a restaurant\"], \"text_template_based\": \"On 2021/05/10, I took Skylar on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/05/10\", \"Skylar\"], [\"where did I go for the date on 2021/05/10\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17178\", \"logical_representation\": [\"2021/05/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/05/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17179\", \"logical_representation\": [\"2021/05/10\", \"lunch\", \"sushi\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/05/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17180\", \"logical_representation\": [\"2021/05/10\", \"dinner\", \"sushi\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/05/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17181\", \"logical_representation\": [\"2021/05/10\", \"Avery, Nora\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Avery, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora during lunch hours on 2021/05/10?\", \"14 minutes\"], [\"who did I talk to on 2021/05/10?\", \"Avery, Nora\"], [\"Did I talk to Avery, Nora on 2021/05/10?\", \"yes\"], [\"Did I talk to anyone on 2021/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17182\", \"logical_representation\": [\"2021/05/10\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I watched a tv series for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/10?\", \"49 minutes\"], [\"what did I watch on tv on 2021/05/10?\", \"a tv series\"], [\"Did I watch tv on 2021/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/13\": {\"grocery\": {\"eid\": \"e16657\", \"logical_representation\": [\"2021/05/13\", \"I went grocery shopping. I bought some bananas, pineapples, cherres, milk, sports drinks, tea, guava juice, and toothpaste, paper towel\", \"bananas, pineapples, cherres\", \"milk, sports drinks, tea, guava juice\", \"toothpaste, paper towel\", \"Carter, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, pineapples, cherres, milk, sports drinks, tea, guava juice, and toothpaste, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/05/13?\", \"bananas, pineapples, cherres, milk, sports drinks, tea, guava juice, and toothpaste, paper towel\"], [\"what fruits did I buy from the grocery store on 2021/05/13?\", \"bananas, pineapples, cherres\"], [\"what drinks did I buy from the grocery store on 2021/05/13?\", \"milk, sports drinks, tea, guava juice\"], [\"what toiletries did I buy from the grocery store on 2021/05/13?\", \"toothpaste, paper towel\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17192\", \"logical_representation\": [\"2021/05/13\", \"breakfast\", \"cereals\", \"Lydia, Kinsley, Nora, Piper, Olivia\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/05/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17193\", \"logical_representation\": [\"2021/05/13\", \"dinner\", \"chinese food\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/05/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17194\", \"logical_representation\": [\"2021/05/13\", \"Kinsley, Hazel, Lydia, Eva\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Kinsley, Hazel, Lydia, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Lydia, Eva in the morning on 2021/05/13?\", \"39 minutes\"], [\"who did I talk to on 2021/05/13?\", \"Kinsley, Hazel, Lydia, Eva\"], [\"Did I talk to Kinsley, Hazel, Lydia, Eva on 2021/05/13?\", \"yes\"], [\"Did I talk to anyone on 2021/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/15\": {\"dating\": {\"eid\": \"e16658\", \"logical_representation\": [\"2021/05/15\", \"Madison\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Madison on 2021/05/15 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/05/15\", \"Madison\"], [\"where did I go for the date on 2021/05/15\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e16659\", \"logical_representation\": [\"2021/05/15\", \"I bought some cherres, oranges, mango juice, guava juice, tea, mouth wash, paper towel from the grocery store. I saw Kinsley, Rylee, Piper, Piper, Eva, Nevaeh, Olivia, Lydia, Avery, Hazel at the grocery store.\", \"cherres, oranges\", \"mango juice, guava juice, tea\", \"mouth wash, paper towel\", \"Kinsley, Rylee, Piper, Piper, Eva, Nevaeh, Olivia, Lydia, Avery, Hazel\"], \"text_template_based\": \"I bought some cherres, oranges, mango juice, guava juice, tea, mouth wash, paper towel from the grocery store. I saw Kinsley, Rylee, Piper, Piper, Eva, Nevaeh, Olivia, Lydia, Avery, Hazel at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/05/15?\", \"cherres, oranges, mango juice, guava juice, tea, and mouth wash, paper towel\"], [\"what fruits did I buy from the grocery store on 2021/05/15?\", \"cherres, oranges\"], [\"what drinks did I buy from the grocery store on 2021/05/15?\", \"mango juice, guava juice, tea\"], [\"what toiletries did I buy from the grocery store on 2021/05/15?\", \"mouth wash, paper towel\"], [\"who did I see at the grocery store on 2021/05/15?\", \"Kinsley, Rylee, Piper, Piper, Eva, Nevaeh, Olivia, Lydia, Avery, Hazel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17199\", \"logical_representation\": [\"2021/05/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/05/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17200\", \"logical_representation\": [\"2021/05/15\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/05/15?\", \"13 minutes\"], [\"what did I read on 2021/05/15?\", \"social media\"], [\"Did I read on 2021/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17201\", \"logical_representation\": [\"2021/05/15\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I watched a movie for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/15?\", \"53 minutes\"], [\"what did I watch on tv on 2021/05/15?\", \"a movie\"], [\"Did I watch tv on 2021/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/19\": {\"grocery\": {\"eid\": \"e16660\", \"logical_representation\": [\"2021/05/19\", \"I bought some blackberries, blueberries, apples, raspberries, orange juice, coffee, mango juice, body lotion, toothpaste, shaving cream from the grocery store. I saw Avery, Jackson, Benjamin, Willow at the grocery store.\", \"blackberries, blueberries, apples, raspberries\", \"orange juice, coffee, mango juice\", \"body lotion, toothpaste, shaving cream\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I bought some blackberries, blueberries, apples, raspberries, orange juice, coffee, mango juice, body lotion, toothpaste, shaving cream from the grocery store. I saw Avery, Jackson, Benjamin, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/05/19?\", \"blackberries, blueberries, apples, raspberries, orange juice, coffee, mango juice, and body lotion, toothpaste, shaving cream\"], [\"what fruits did I buy from the grocery store on 2021/05/19?\", \"blackberries, blueberries, apples, raspberries\"], [\"what drinks did I buy from the grocery store on 2021/05/19?\", \"orange juice, coffee, mango juice\"], [\"what toiletries did I buy from the grocery store on 2021/05/19?\", \"body lotion, toothpaste, shaving cream\"], [\"who did I see at the grocery store on 2021/05/19?\", \"Avery, Jackson, Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17210\", \"logical_representation\": [\"2021/05/19\", \"biking\"], \"text_template_based\": \"I did biking on 2021/05/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17211\", \"logical_representation\": [\"2021/05/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/05/19?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for breakfast on 2021/05/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17212\", \"logical_representation\": [\"2021/05/19\", \"lunch\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/05/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17213\", \"logical_representation\": [\"2021/05/19\", \"dinner\", \"chinese food\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/05/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17214\", \"logical_representation\": [\"2021/05/19\", \"Olivia\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2021/05/19?\", \"31 minutes\"], [\"who did I talk to on 2021/05/19?\", \"Olivia\"], [\"Did I talk to Olivia on 2021/05/19?\", \"yes\"], [\"Did I talk to anyone on 2021/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17215\", \"logical_representation\": [\"2021/05/19\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/05/19?\", \"14 minutes\"], [\"what did I read on 2021/05/19?\", \"a book\"], [\"Did I read on 2021/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17216\", \"logical_representation\": [\"2021/05/19\", \"news\", \"48 minutes\"], \"text_template_based\": \"I watched news for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/19?\", \"48 minutes\"], [\"what did I watch on tv on 2021/05/19?\", \"news\"], [\"Did I watch tv on 2021/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/02\": {\"hobbies\": {\"eid\": \"e16661\", \"logical_representation\": [\"2021/06/02\", \"I really enjoyed meditation on 2021/06/02\", \"meditation\", \"Andrew, Emily\"], \"text_template_based\": \"I really enjoyed meditation on 2021/06/02\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2021/06/02\"], [\"On 2021/06/02, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17263\", \"logical_representation\": [\"2021/06/02\", \"breakfast\", \"oatmeal\", \"Avery, Benjamin\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/06/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17264\", \"logical_representation\": [\"2021/06/02\", \"lunch\", \"chinese food\", \"Kayden, Carter\"], \"text_template_based\": \"I had chinese food for lunch with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/06/02?\", \"Kayden, Carter\"], [\"what did I eat for lunch on 2021/06/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17265\", \"logical_representation\": [\"2021/06/02\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had sandwich for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/06/02?\", \"Kayden\"], [\"what did I eat for dinner on 2021/06/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2021/05/31\": {\"grocery\": {\"eid\": \"e16662\", \"logical_representation\": [\"2021/05/31\", \"I bought some mangos, guava juice, apple juice, shampoo, mouth wash, conditioner from the grocery store. I saw Avery, Willow, Jackson at the grocery store.\", \"mangos\", \"guava juice, apple juice\", \"shampoo, mouth wash, conditioner\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I bought some mangos, guava juice, apple juice, shampoo, mouth wash, conditioner from the grocery store. 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\"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/07/26?\", \"12 minutes\"], [\"what did I read on 2021/07/26?\", \"news\"], [\"Did I read on 2021/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17483\", \"logical_representation\": [\"2021/07/26\", \"a movie\", \"40 minutes\"], \"text_template_based\": \"I watched a movie for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/26?\", \"40 minutes\"], [\"what did I watch on tv on 2021/07/26?\", \"a movie\"], [\"Did I watch tv on 2021/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/27\": {\"hobbies\": {\"eid\": \"e16681\", \"logical_representation\": [\"2021/07/27\", \"I spent time yoga on 2021/07/27 with Carter, Andrew.\", \"yoga\", \"Carter, Andrew\"], \"text_template_based\": \"I spent time yoga on 2021/07/27 with Carter, Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Carter, Andrew?\", \"2021/07/27\"], [\"On 2021/07/27, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2021/07/27?\", \"Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17484\", \"logical_representation\": [\"2021/07/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/07/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17485\", \"logical_representation\": [\"2021/07/27\", \"breakfast\", \"toast and cheese\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Emily, Andrew, Kayden. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/07/27?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for breakfast on 2021/07/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17486\", \"logical_representation\": [\"2021/07/27\", \"lunch\", \"fish and chips\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I had lunch with Avery, Willow, Benjamin. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/07/27?\", \"Avery, Willow, Benjamin\"], [\"what did I eat for lunch on 2021/07/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17487\", \"logical_representation\": [\"2021/07/27\", \"dinner\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had a burger for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/27?\", \"Andrew\"], [\"what did I eat for dinner on 2021/07/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17488\", \"logical_representation\": [\"2021/07/27\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/07/27?\", \"28 minutes\"], [\"what did I read on 2021/07/27?\", \"a book\"], [\"Did I read on 2021/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/29\": {\"grocery\": {\"eid\": \"e16682\", \"logical_representation\": [\"2021/07/29\", \"I bought some nectarines, apples, coffee, soda, mango juice, mouth wash, toothpaste, shampoo online.\", \"nectarines, apples\", \"coffee, soda, mango juice\", \"mouth wash, toothpaste, shampoo\", \"Emily, Andrew\"], \"text_template_based\": \"I bought some nectarines, apples, coffee, soda, mango juice, mouth wash, toothpaste, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/07/29?\", \"nectarines, apples, coffee, soda, mango juice, and mouth wash, toothpaste, shampoo\"], [\"what fruits did I buy online on 2021/07/29?\", \"nectarines, apples\"], [\"what drinks did I buy online on 2021/07/29?\", \"coffee, soda, mango juice\"], [\"what toiletries did I buy online on 2021/07/29?\", \"mouth wash, toothpaste, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17491\", \"logical_representation\": [\"2021/07/29\", \"running\"], \"text_template_based\": \"I did running on 2021/07/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/29?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17492\", \"logical_representation\": [\"2021/07/29\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I had breakfast with Benjamin, Willow, Avery. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/07/29?\", \"Benjamin, Willow, Avery\"], [\"what did I eat for breakfast on 2021/07/29\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17493\", \"logical_representation\": [\"2021/07/29\", \"dinner\", \"tacos\", \"Jackson, Benjamin\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/07/29\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/08/01\": {\"cook\": {\"eid\": \"e16683\", \"logical_representation\": [\"2021/08/01\", \"I entertained Andrew, Carter at my place on 2021/08/01 and cook cashew chicken , general tso\\u2019s chicken, lo mein\", \"cook\", \"cashew chicken , general tso\\u2019s chicken, lo mein\", \"Andrew, Carter\", \"my place\"], \"text_template_based\": \"I entertained Andrew, Carter at my place on 2021/08/01 and cook cashew chicken , general tso\\u2019s chicken, lo mein\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook cashew chicken , general tso\\u2019s chicken, lo mein with Andrew, Carter?\", \"2021/08/01\"], [\"what did I cook on 2021/08/01?\", \"cashew chicken , general tso\\u2019s chicken, lo mein\"], [\"who was I with when I  cashew chicken , general tso\\u2019s chicken, lo mein on 2021/08/01?\", \"Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17502\", \"logical_representation\": [\"2021/08/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17503\", \"logical_representation\": [\"2021/08/01\", \"Piper, Rylee\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Piper, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee late in the evening on 2021/08/01?\", \"46 minutes\"], [\"who did I talk to on 2021/08/01?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2021/08/01?\", \"yes\"], [\"Did I talk to anyone on 2021/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17504\", \"logical_representation\": [\"2021/08/01\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/08/01?\", \"13 minutes\"], [\"what did I read on 2021/08/01?\", \"social media\"], [\"Did I read on 2021/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/03\": {\"hobbies\": {\"eid\": \"e16684\", \"logical_representation\": [\"2021/08/03\", \"I really enjoyed working out on 2021/08/03\", \"working out\", \"Layla, Lydia, Nevaeh\"], \"text_template_based\": \"I really enjoyed working out on 2021/08/03\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2021/08/03\"], [\"On 2021/08/03, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17510\", \"logical_representation\": [\"2021/08/03\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/08/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/03?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17511\", \"logical_representation\": [\"2021/08/03\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/08/03?\", \"Avery, Jackson, Willow\"], [\"what did I eat for breakfast on 2021/08/03\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17512\", \"logical_representation\": [\"2021/08/03\", \"lunch\", \"sushi\", \"Rylee, Nora, Avery, Layla, Nevaeh, Claire, Kinsley, Eva\"], \"text_template_based\": \"I had lunch with Rylee, Nora, Avery, Layla, Nevaeh, Claire, Kinsley, Eva. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/08/03?\", \"Rylee, Nora, Avery, Layla, Nevaeh, Claire, Kinsley, Eva\"], [\"what did I eat for lunch on 2021/08/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17513\", \"logical_representation\": [\"2021/08/03\", \"dinner\", \"fish and chips\", \"Avery\"], \"text_template_based\": \"I had fish and chips for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/08/03?\", \"Avery\"], [\"what did I eat for dinner on 2021/08/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17514\", \"logical_representation\": [\"2021/08/03\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/08/03?\", \"39 minutes\"], [\"what did I read on 2021/08/03?\", \"a book\"], [\"Did I read on 2021/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17515\", \"logical_representation\": [\"2021/08/03\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/03?\", \"48 minutes\"], [\"what did I watch on tv on 2021/08/03?\", \"news\"], [\"Did I watch tv on 2021/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/02\": {\"grocery\": {\"eid\": \"e16685\", \"logical_representation\": [\"2021/08/02\", \"I went grocery shopping with Kayden. I bought some clementines, raspberries, pineapple juice, soda, guava juice, coffee, and shaving cream, toothbrush\", \"clementines, raspberries\", \"pineapple juice, soda, guava juice, coffee\", \"shaving cream, toothbrush\", \"Kayden\"], \"text_template_based\": \"I went grocery shopping with Kayden. I bought some clementines, raspberries, pineapple juice, soda, guava juice, coffee, and shaving cream, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/08/02?\", \"clementines, raspberries, pineapple juice, soda, guava juice, coffee, and shaving cream, toothbrush\"], [\"what fruits did I buy from the grocery store on 2021/08/02?\", \"clementines, raspberries\"], [\"what drinks did I buy from the grocery store on 2021/08/02?\", \"pineapple juice, soda, guava juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2021/08/02?\", \"shaving cream, toothbrush\"], [\"who was with me at the grocery store on 2021/08/02?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17505\", \"logical_representation\": [\"2021/08/02\", \"lunch\", \"chinese food\", \"Lydia, Nevaeh, Nora, Kinsley, Rylee, Hazel, Avery, Olivia, Piper, Claire, Piper, Layla\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/08/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17506\", \"logical_representation\": [\"2021/08/02\", \"dinner\", \"chinese food\", \"Claire, Olivia, Piper, Lydia, Kinsley, Eva, Nora\"], \"text_template_based\": \"I had dinner with Claire, Olivia, Piper, Lydia, Kinsley, Eva, Nora. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/08/02?\", \"Claire, Olivia, Piper, Lydia, Kinsley, Eva, Nora\"], [\"what did I eat for dinner on 2021/08/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17507\", \"logical_representation\": [\"2021/08/02\", \"Kinsley, Nora, Hazel, Claire\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora, Hazel, Claire for 38 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Hazel, Claire in the early afternoon on 2021/08/02?\", \"38 minutes\"], [\"who did I talk to on 2021/08/02?\", \"Kinsley, Nora, Hazel, Claire\"], [\"Did I talk to Kinsley, Nora, Hazel, Claire on 2021/08/02?\", \"yes\"], [\"Did I talk to anyone on 2021/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17508\", \"logical_representation\": [\"2021/08/02\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/08/02?\", \"52 minutes\"], [\"what did I read on 2021/08/02?\", \"social media\"], [\"Did I read on 2021/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17509\", \"logical_representation\": [\"2021/08/02\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I watched a movie for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/02?\", \"25 minutes\"], [\"what did I watch on tv on 2021/08/02?\", \"a movie\"], [\"Did I watch tv on 2021/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/11\": {\"dating\": {\"eid\": \"e16686\", \"logical_representation\": [\"2021/08/11\", \"Ian\", \"a boba shop\"], \"text_template_based\": \"On 2021/08/11, I took Ian on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/08/11\", \"Ian\"], [\"where did I go for the date on 2021/08/11\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e16687\", \"logical_representation\": [\"2021/08/11\", \"I spent time meditation on 2021/08/11 with Layla, Piper, Hazel.\", \"meditation\", \"Layla, Piper, Hazel\"], \"text_template_based\": \"I spent time meditation on 2021/08/11 with Layla, Piper, Hazel.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Layla, Piper, Hazel?\", \"2021/08/11\"], [\"On 2021/08/11, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2021/08/11?\", \"Layla, Piper, Hazel\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17549\", \"logical_representation\": [\"2021/08/11\", \"dinner\", \"tacos\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17550\", \"logical_representation\": [\"2021/08/11\", \"a book\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/08/11?\", \"31 minutes\"], [\"what did I read on 2021/08/11?\", \"a book\"], [\"Did I read on 2021/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17551\", \"logical_representation\": [\"2021/08/11\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/11?\", \"28 minutes\"], [\"what did I watch on tv on 2021/08/11?\", \"a movie\"], [\"Did I watch tv on 2021/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/19\": {\"grocery\": {\"eid\": \"e16688\", \"logical_representation\": [\"2021/08/19\", \"I bought some pears, blackberries, apples, guava juice, apple juice, body lotion, mouthwash, toothpaste, paper towel online.\", \"pears, blackberries, apples\", \"guava juice, apple juice\", \"body lotion, mouthwash, toothpaste, paper towel\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I bought some pears, blackberries, apples, guava juice, apple juice, body lotion, mouthwash, toothpaste, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/08/19?\", \"pears, blackberries, apples, guava juice, apple juice, and body lotion, mouthwash, toothpaste, paper towel\"], [\"what fruits did I buy online on 2021/08/19?\", \"pears, blackberries, apples\"], [\"what drinks did I buy online on 2021/08/19?\", \"guava juice, apple juice\"], [\"what toiletries did I buy online on 2021/08/19?\", \"body lotion, mouthwash, toothpaste, paper towel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17580\", \"logical_representation\": [\"2021/08/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/08/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17581\", \"logical_representation\": [\"2021/08/19\", \"Rylee, Eva, Kinsley\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Rylee, Eva, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Kinsley in the late afternoon on 2021/08/19?\", \"54 minutes\"], [\"who did I talk to on 2021/08/19?\", \"Rylee, Eva, Kinsley\"], [\"Did I talk to Rylee, Eva, Kinsley on 2021/08/19?\", \"yes\"], [\"Did I talk to anyone on 2021/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17582\", \"logical_representation\": [\"2021/08/19\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/08/19?\", \"16 minutes\"], [\"what did I read on 2021/08/19?\", \"a book\"], [\"Did I read on 2021/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/23\": {\"hobbies\": {\"eid\": \"e16689\", \"logical_representation\": [\"2021/08/23\", \"I spent time gardening on 2021/08/23 with Benjamin.\", \"gardening\", \"Benjamin\"], \"text_template_based\": \"I spent time gardening on 2021/08/23 with Benjamin.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Benjamin?\", \"2021/08/23\"], [\"On 2021/08/23, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2021/08/23?\", \"Benjamin\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17591\", \"logical_representation\": [\"2021/08/23\", \"Lydia, Olivia, Layla, Piper\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia, Layla, Piper for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Layla, Piper in the early evening on 2021/08/23?\", \"39 minutes\"], [\"who did I talk to on 2021/08/23?\", \"Lydia, Olivia, Layla, Piper\"], [\"Did I talk to Lydia, Olivia, Layla, Piper on 2021/08/23?\", \"yes\"], [\"Did I talk to anyone on 2021/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17592\", \"logical_representation\": [\"2021/08/23\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/08/23?\", \"27 minutes\"], [\"what did I read on 2021/08/23?\", \"social media\"], [\"Did I read on 2021/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17593\", \"logical_representation\": [\"2021/08/23\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I watched a tv series for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/23?\", \"43 minutes\"], [\"what did I watch on tv on 2021/08/23?\", \"a tv series\"], [\"Did I watch tv on 2021/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/02\": {\"bake\": {\"eid\": \"e16690\", \"logical_representation\": [\"2021/09/02\", \"I entertained Nora, Lydia, Nevaeh at my place on 2021/09/02 and bake lemon meringue cookies, birthday cupcakes with white wine buttercream\", \"bake\", \"lemon meringue cookies, birthday cupcakes with white wine buttercream\", \"Nora, Lydia, Nevaeh\", \"my place\"], \"text_template_based\": \"I entertained Nora, Lydia, Nevaeh at my place on 2021/09/02 and bake lemon meringue cookies, birthday cupcakes with white wine buttercream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake lemon meringue cookies, birthday cupcakes with white wine buttercream with Nora, Lydia, Nevaeh?\", \"2021/09/02\"], [\"what did I bake on 2021/09/02?\", \"lemon meringue cookies, birthday cupcakes with white wine buttercream\"], [\"who was I with when I  lemon meringue cookies, birthday cupcakes with white wine buttercream on 2021/09/02?\", \"Nora, Lydia, Nevaeh\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17630\", \"logical_representation\": [\"2021/09/02\", \"breakfast\", \"toast and cheese\", \"Willow\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/09/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17631\", 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\"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/02?\", \"20 minutes\"], [\"what did I watch on tv on 2021/09/02?\", \"a tv series\"], [\"Did I watch tv on 2021/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/30\": {\"dating\": {\"eid\": \"e16691\", \"logical_representation\": [\"2021/08/30\", \"Kai\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Kai on 2021/08/30 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/08/30\", \"Kai\"], [\"where did I go for the date on 2021/08/30\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17619\", \"logical_representation\": [\"2021/08/30\", \"breakfast\", \"oatmeal\", \"Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/08/30\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": 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\"text_template_based\": \"I spent 40 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/09/03?\", \"40 minutes\"], [\"what did I read on 2021/09/03?\", \"social media\"], [\"Did I read on 2021/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17638\", \"logical_representation\": [\"2021/09/03\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/03?\", \"5 minutes\"], [\"what did I watch on tv on 2021/09/03?\", \"news\"], [\"Did I watch tv on 2021/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/09\": {\"dating\": {\"eid\": \"e16693\", \"logical_representation\": [\"2021/09/09\", \"Lucy\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Lucy on 2021/09/09 at a restaurant\", \"text_model_based\": 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I saw Avery, Benjamin, Jackson, Willow at the grocery store.\", \"peaches\", \"tea, orange juice, mineral water, coffee\", \"toothbrush, conditioner\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I bought some peaches, tea, orange juice, mineral water, coffee, toothbrush, conditioner from the grocery store. 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I bought some blueberries, milk, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/09/26?\", \"blueberries, milk, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2021/09/26?\", \"blueberries\"], [\"what drinks did I buy from the grocery store on 2021/09/26?\", \"milk\"], [\"what toiletries did I buy from the grocery store on 2021/09/26?\", \"toothpaste\"], [\"who was with me at the grocery store on 2021/09/26?\", \"Carter, Kayden, Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17732\", \"logical_representation\": [\"2021/09/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/09/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17733\", \"logical_representation\": [\"2021/09/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, 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\"43 minutes\"], [\"what did I watch on tv on 2021/09/26?\", \"a tv series\"], [\"Did I watch tv on 2021/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/02\": {\"dating\": {\"eid\": \"e16699\", \"logical_representation\": [\"2021/10/02\", \"Mia\", \"a restaurant\"], \"text_template_based\": \"On 2021/10/02, I took Mia on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/10/02\", \"Mia\"], [\"where did I go for the date on 2021/10/02\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17756\", \"logical_representation\": [\"2021/10/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/10/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17757\", \"logical_representation\": [\"2021/10/02\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/10/02?\", \"Kayden\"], [\"what did I eat for breakfast on 2021/10/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17758\", \"logical_representation\": [\"2021/10/02\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/10/02?\", \"38 minutes\"], [\"what did I read on 2021/10/02?\", \"news\"], [\"Did I read on 2021/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/04\": {\"dating\": {\"eid\": \"e16700\", \"logical_representation\": [\"2021/10/04\", \"Benjamin\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Benjamin on 2021/10/04 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I 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I bought some blackberries, peaches, soda, mineral water, mango juice, pineapple juice, and paper towel, body lotion, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/10/07?\", \"blackberries, peaches, soda, mineral water, mango juice, pineapple juice, and paper towel, body lotion, mouthwash\"], [\"what fruits did I buy from the grocery store on 2021/10/07?\", \"blackberries, peaches\"], [\"what drinks did I buy from the grocery store on 2021/10/07?\", \"soda, mineral water, mango juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2021/10/07?\", \"paper towel, body lotion, mouthwash\"], [\"who was with me at the grocery store on 2021/10/07?\", \"Lydia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17776\", \"logical_representation\": [\"2021/10/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/10/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17777\", \"logical_representation\": [\"2021/10/07\", \"dinner\", \"chinese food\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Carter, Kayden, Andrew. 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I saw Willow, Benjamin, Jackson at the grocery store.\", \"watermelons, blackberries\", \"mineral water, coffee, pineapple juice\", \"shaving cream\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I bought some watermelons, blackberries, mineral water, coffee, pineapple juice, shaving cream from the grocery store. I saw Willow, Benjamin, Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/10/12?\", \"watermelons, blackberries, mineral water, coffee, pineapple juice, and shaving cream\"], [\"what fruits did I buy from the grocery store on 2021/10/12?\", \"watermelons, blackberries\"], [\"what drinks did I buy from the grocery store on 2021/10/12?\", \"mineral water, coffee, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2021/10/12?\", \"shaving cream\"], [\"who did I see at the grocery store on 2021/10/12?\", \"Willow, Benjamin, Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17795\", \"logical_representation\": [\"2021/10/12\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17796\", \"logical_representation\": [\"2021/10/12\", \"lunch\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/10/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17797\", \"logical_representation\": [\"2021/10/12\", \"Layla\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla during lunch hours on 2021/10/12?\", \"37 minutes\"], [\"who did I talk to on 2021/10/12?\", \"Layla\"], [\"Did I talk to Layla on 2021/10/12?\", \"yes\"], [\"Did I talk to anyone on 2021/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17798\", \"logical_representation\": [\"2021/10/12\", \"Claire, Piper, Hazel, Kinsley\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Hazel, Kinsley for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Hazel, Kinsley late in the evening on 2021/10/12?\", \"18 minutes\"], [\"who did I talk to on 2021/10/12?\", \"Claire, Piper, Hazel, Kinsley\"], [\"Did I talk to Claire, Piper, Hazel, Kinsley on 2021/10/12?\", \"yes\"], [\"Did I talk to anyone on 2021/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/21\": {\"bake\": {\"eid\": \"e16704\", \"logical_representation\": [\"2021/10/21\", \"I really enjoyed baking blackberry jam pie-crust straws, fig tarte tatin, cheater\\u2019s mini rhubarb galettes on 2021/10/21 with Layla at my place\", \"bake\", \"blackberry jam pie-crust straws, fig tarte tatin, cheater\\u2019s mini rhubarb galettes\", \"Layla\", \"my place\"], \"text_template_based\": \"I really enjoyed baking blackberry jam pie-crust straws, fig tarte tatin, cheater\\u2019s mini rhubarb galettes on 2021/10/21 with Layla at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  blackberry jam pie-crust straws, fig tarte tatin, cheater\\u2019s mini rhubarb galettes with Layla?\", \"2021/10/21\"], [\"what did I  on 2021/10/21?\", \"blackberry jam pie-crust straws, fig tarte tatin, cheater\\u2019s mini rhubarb galettes\"], [\"who was I with when I  blackberry jam pie-crust straws, fig tarte tatin, cheater\\u2019s mini rhubarb galettes on 2021/10/21?\", \"Layla\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17835\", \"logical_representation\": [\"2021/10/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/10/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17836\", \"logical_representation\": [\"2021/10/21\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Kayden. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/10/21?\", \"Carter, Kayden\"], [\"what did I eat for breakfast on 2021/10/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17837\", \"logical_representation\": [\"2021/10/21\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/10/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17838\", \"logical_representation\": [\"2021/10/21\", \"dinner\", \"sushi\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/21\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2021/10/18\": {\"hobbies\": {\"eid\": \"e16705\", \"logical_representation\": [\"2021/10/18\", \"I spent time working out on 2021/10/18 with Andrew, Kayden, Carter.\", \"working out\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I spent time working out on 2021/10/18 with Andrew, Kayden, Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Andrew, Kayden, Carter?\", \"2021/10/18\"], [\"On 2021/10/18, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2021/10/18?\", \"Andrew, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17820\", \"logical_representation\": [\"2021/10/18\", \"breakfast\", \"oatmeal\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17821\", \"logical_representation\": [\"2021/10/18\", \"dinner\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2021/10/19\": {\"grocery\": {\"eid\": \"e16706\", \"logical_representation\": [\"2021/10/19\", \"I bought some clementines, watermelons, mandarins, orange juice, sports drinks, apple juice, guava juice, shampoo from the grocery store. I saw Eva at the grocery store.\", \"clementines, watermelons, mandarins\", \"orange juice, sports drinks, apple juice, guava juice\", \"shampoo\", \"Eva\"], \"text_template_based\": \"I bought some clementines, watermelons, mandarins, orange juice, sports drinks, apple juice, guava juice, shampoo from the grocery store. I saw Eva at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/10/19?\", \"clementines, watermelons, mandarins, orange juice, sports drinks, apple juice, guava juice, and shampoo\"], [\"what fruits did I buy from the grocery store on 2021/10/19?\", \"clementines, watermelons, mandarins\"], [\"what drinks did I buy from the grocery store on 2021/10/19?\", \"orange juice, sports drinks, apple juice, guava juice\"], [\"what toiletries did I buy from the grocery store on 2021/10/19?\", \"shampoo\"], [\"who did I see at the grocery store on 2021/10/19?\", \"Eva\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17822\", \"logical_representation\": [\"2021/10/19\", \"dinner\", \"fish and chips\", \"Hazel, Nora, Lydia, Eva, Avery\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17823\", \"logical_representation\": [\"2021/10/19\", \"Lydia, Avery, Layla\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery, Layla for 51 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Layla in the early evening on 2021/10/19?\", \"51 minutes\"], [\"who did I talk to on 2021/10/19?\", \"Lydia, Avery, Layla\"], [\"Did I talk to Lydia, Avery, Layla on 2021/10/19?\", \"yes\"], [\"Did I talk to anyone on 2021/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17824\", \"logical_representation\": [\"2021/10/19\", \"Lydia, Nevaeh, Layla, Avery\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Lydia, Nevaeh, Layla, Avery for 41 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Layla, Avery in the early afternoon on 2021/10/19?\", \"41 minutes\"], [\"who did I talk to on 2021/10/19?\", \"Lydia, Nevaeh, Layla, Avery\"], [\"Did I talk to Lydia, Nevaeh, Layla, Avery on 2021/10/19?\", \"yes\"], [\"Did I talk to anyone on 2021/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17825\", \"logical_representation\": [\"2021/10/19\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/10/19?\", \"12 minutes\"], [\"what did I read on 2021/10/19?\", \"a book\"], [\"Did I read on 2021/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17826\", \"logical_representation\": [\"2021/10/19\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I watched a movie for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/19?\", \"26 minutes\"], [\"what did I watch on tv on 2021/10/19?\", \"a movie\"], [\"Did I watch tv on 2021/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/25\": {\"dating\": {\"eid\": \"e16707\", \"logical_representation\": [\"2021/10/25\", \"Skylar\", \"a restaurant\"], \"text_template_based\": \"On 2021/10/25, I took Skylar on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/10/25\", \"Skylar\"], [\"where did I go for the date on 2021/10/25\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17851\", \"logical_representation\": [\"2021/10/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/10/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17852\", \"logical_representation\": [\"2021/10/25\", \"dinner\", \"sushi\", \"Avery\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17853\", \"logical_representation\": [\"2021/10/25\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/10/25?\", \"6 minutes\"], [\"what did I read on 2021/10/25?\", \"a book\"], [\"Did I read on 2021/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17854\", \"logical_representation\": [\"2021/10/25\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/25?\", \"29 minutes\"], [\"what did I watch on tv on 2021/10/25?\", \"news\"], [\"Did I watch tv on 2021/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/22\": {\"grocery\": {\"eid\": \"e16708\", \"logical_representation\": [\"2021/10/22\", \"I went grocery shopping with Carter, Emily, Andrew, Kayden. I bought some bananas, blueberries, mangos, pineapples, guava juice, mango juice, orange juice, coffee, and shaving cream, toothpaste, shampoo, mouthwash\", \"bananas, blueberries, mangos, pineapples\", \"guava juice, mango juice, orange juice, coffee\", \"shaving cream, toothpaste, shampoo, mouthwash\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping with Carter, Emily, Andrew, Kayden. I bought some bananas, blueberries, mangos, pineapples, guava juice, mango juice, orange juice, coffee, and shaving cream, toothpaste, shampoo, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/10/22?\", \"bananas, blueberries, mangos, pineapples, guava juice, mango juice, orange juice, coffee, and shaving cream, toothpaste, shampoo, mouthwash\"], [\"what fruits did I buy from the grocery store on 2021/10/22?\", \"bananas, blueberries, mangos, pineapples\"], [\"what drinks did I buy from the grocery store on 2021/10/22?\", \"guava juice, mango juice, orange juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2021/10/22?\", \"shaving cream, toothpaste, shampoo, mouthwash\"], [\"who was with me at the grocery store on 2021/10/22?\", \"Carter, Emily, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17839\", \"logical_representation\": [\"2021/10/22\", \"biking\"], \"text_template_based\": \"I did biking on 2021/10/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17840\", \"logical_representation\": [\"2021/10/22\", \"breakfast\", \"cereals\", \"Avery\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17841\", \"logical_representation\": [\"2021/10/22\", \"Layla, Claire\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Layla, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire in the early evening on 2021/10/22?\", \"14 minutes\"], [\"who did I talk to on 2021/10/22?\", \"Layla, Claire\"], [\"Did I talk to Layla, Claire on 2021/10/22?\", \"yes\"], [\"Did I talk to anyone on 2021/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17842\", \"logical_representation\": [\"2021/10/22\", \"Lydia, Rylee, Layla\", \"in the late afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee, Layla for 8 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Layla in the late afternoon on 2021/10/22?\", \"8 minutes\"], [\"who did I talk to on 2021/10/22?\", \"Lydia, Rylee, Layla\"], [\"Did I talk to Lydia, Rylee, Layla on 2021/10/22?\", \"yes\"], [\"Did I talk to anyone on 2021/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17843\", \"logical_representation\": [\"2021/10/22\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/22?\", \"8 minutes\"], [\"what did I watch on tv on 2021/10/22?\", \"news\"], [\"Did I watch tv on 2021/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/28\": {\"grocery\": {\"eid\": \"e16709\", \"logical_representation\": [\"2021/10/28\", \"I bought some clementines, pears, watermelons, guava, mineral water, toilet paper, toothpaste, paper towel, facial wash from the grocery store. I saw Carter at the grocery store.\", \"clementines, pears, watermelons, guava\", \"mineral water\", \"toilet paper, toothpaste, paper towel, facial wash\", \"Carter\"], \"text_template_based\": \"I bought some clementines, pears, watermelons, guava, mineral water, toilet paper, toothpaste, paper towel, facial wash from the grocery store. I saw Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/10/28?\", \"clementines, pears, watermelons, guava, mineral water, and toilet paper, toothpaste, paper towel, facial wash\"], [\"what fruits did I buy from the grocery store on 2021/10/28?\", \"clementines, pears, watermelons, guava\"], [\"what drinks did I buy from the grocery store on 2021/10/28?\", \"mineral water\"], [\"what toiletries did I buy from the grocery store on 2021/10/28?\", \"toilet paper, toothpaste, paper towel, facial wash\"], [\"who did I see at the grocery store on 2021/10/28?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17864\", \"logical_representation\": [\"2021/10/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/10/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17865\", \"logical_representation\": [\"2021/10/28\", \"lunch\", \"a burger\", \"Claire, Layla, Hazel, Nora, Nevaeh, Olivia, Rylee, Avery, Lydia, Eva, Kinsley\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/10/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17866\", \"logical_representation\": [\"2021/10/28\", \"dinner\", \"indian food\", \"Piper, Claire, Lydia, Nora\"], \"text_template_based\": \"I had indian food for dinner with Piper, Claire, Lydia, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/10/28?\", \"Piper, Claire, Lydia, Nora\"], [\"what did I eat for dinner on 2021/10/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17867\", \"logical_representation\": [\"2021/10/28\", \"Nora\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I talked to Nora for 14 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2021/10/28?\", \"14 minutes\"], [\"who did I talk to on 2021/10/28?\", \"Nora\"], [\"Did I talk to Nora on 2021/10/28?\", \"yes\"], [\"Did I talk to anyone on 2021/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17868\", \"logical_representation\": [\"2021/10/28\", \"Kinsley, Avery, Layla, Lydia\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I talked to Kinsley, Avery, Layla, Lydia for 39 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Layla, Lydia during lunch hours on 2021/10/28?\", \"39 minutes\"], [\"who did I talk to on 2021/10/28?\", \"Kinsley, Avery, Layla, Lydia\"], [\"Did I talk to Kinsley, Avery, Layla, Lydia on 2021/10/28?\", \"yes\"], [\"Did I talk to anyone on 2021/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17869\", \"logical_representation\": [\"2021/10/28\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/10/28?\", \"9 minutes\"], [\"what did I read on 2021/10/28?\", \"a book\"], [\"Did I read on 2021/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17870\", \"logical_representation\": [\"2021/10/28\", \"a documentary\", \"12 minutes\"], \"text_template_based\": \"I watched a documentary for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/28?\", \"12 minutes\"], [\"what did I watch on tv on 2021/10/28?\", \"a documentary\"], [\"Did I watch tv on 2021/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/04\": {\"bake\": {\"eid\": \"e16710\", \"logical_representation\": [\"2021/11/04\", \"I was baking blackberry-raspberry skillet cobbler, lemon meringue cookies on 2021/11/04 with Piper, Avery, Claire, Olivia at my place\", \"bake\", \"blackberry-raspberry skillet cobbler, lemon meringue cookies\", \"Piper, Avery, Claire, Olivia\", \"my place\"], \"text_template_based\": \"I was baking blackberry-raspberry skillet cobbler, lemon meringue cookies on 2021/11/04 with Piper, Avery, Claire, Olivia at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  blackberry-raspberry skillet cobbler, lemon meringue cookies with Piper, Avery, Claire, Olivia?\", \"2021/11/04\"], [\"what did I  on 2021/11/04?\", \"blackberry-raspberry skillet cobbler, lemon meringue cookies\"], [\"who was I with when I  blackberry-raspberry skillet cobbler, lemon meringue cookies on 2021/11/04?\", \"Piper, Avery, Claire, Olivia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e17897\", \"logical_representation\": [\"2021/11/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/11/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17898\", \"logical_representation\": [\"2021/11/04\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/11/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17899\", \"logical_representation\": [\"2021/11/04\", \"lunch\", \"chinese food\", \"Hazel, Piper, Rylee\"], \"text_template_based\": \"I had lunch with Hazel, Piper, Rylee. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/11/04?\", \"Hazel, Piper, Rylee\"], [\"what did I eat for lunch on 2021/11/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17900\", \"logical_representation\": [\"2021/11/04\", \"dinner\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I had dinner. 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I saw Andrew at the grocery store.\", \"nectarines, mangos, raspberries, pineapples\", \"soda, tea, milk, apple juice\", \"shaving cream, conditioner\", \"Andrew\"], \"text_template_based\": \"I bought some nectarines, mangos, raspberries, pineapples, soda, tea, milk, apple juice, shaving cream, conditioner from the grocery store. 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I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/12/09?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2021/12/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18028\", \"logical_representation\": [\"2021/12/09\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/12/09?\", \"53 minutes\"], [\"what did I read on 2021/12/09?\", \"a book\"], [\"Did I read on 2021/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/11\": {\"dating\": {\"eid\": \"e16720\", \"logical_representation\": [\"2021/12/11\", \"Silas\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Silas on 2021/12/11 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/12/11\", \"Silas\"], [\"where did I go for the date on 2021/12/11\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e16721\", \"logical_representation\": [\"2021/12/11\", \"I spent time meditation on 2021/12/11 with Jackson.\", \"meditation\", \"Jackson\"], \"text_template_based\": \"I spent time meditation on 2021/12/11 with Jackson.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Jackson?\", \"2021/12/11\"], [\"On 2021/12/11, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2021/12/11?\", \"Jackson\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18031\", \"logical_representation\": [\"2021/12/11\", \"lunch\", \"sushi\", \"Piper, Rylee, Claire, Avery, Kinsley, Olivia\"], \"text_template_based\": \"I had lunch. 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\"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/01/12\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/01/13\": {\"exercise\": {\"eid\": \"e16776\", \"logical_representation\": [\"2021/01/13\", \"biking\"], \"text_template_based\": \"I did biking on 2021/01/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/01/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16777\", \"logical_representation\": [\"2021/01/13\", \"breakfast\", \"toast and cheese\", \"Lydia, Eva, Claire, Olivia\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/01/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16778\", \"logical_representation\": [\"2021/01/13\", \"dinner\", \"pasta\", \"Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/01/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16779\", \"logical_representation\": [\"2021/01/13\", \"Olivia, Kinsley, Claire, Piper\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley, Claire, Piper for 29 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Claire, Piper in the late afternoon on 2021/01/13?\", \"29 minutes\"], [\"who did I talk to on 2021/01/13?\", \"Olivia, Kinsley, Claire, Piper\"], [\"Did I talk to Olivia, Kinsley, Claire, Piper on 2021/01/13?\", \"yes\"], [\"Did I talk to anyone on 2021/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16780\", \"logical_representation\": [\"2021/01/13\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I 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\"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16786\", \"logical_representation\": [\"2021/01/15\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/01/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16787\", \"logical_representation\": [\"2021/01/15\", \"Rylee\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Rylee for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2021/01/15?\", \"7 minutes\"], [\"who did I talk to on 2021/01/15?\", \"Rylee\"], [\"Did I talk to Rylee on 2021/01/15?\", \"yes\"], [\"Did I talk to anyone on 2021/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16788\", \"logical_representation\": [\"2021/01/15\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/01/15?\", \"54 minutes\"], [\"what did I read on 2021/01/15?\", \"news\"], [\"Did I read on 2021/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/18\": {\"lunch\": {\"eid\": \"e16797\", \"logical_representation\": [\"2021/01/18\", \"lunch\", \"fish and chips\", \"Avery\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/01/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16798\", \"logical_representation\": [\"2021/01/18\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/01/18?\", \"12 minutes\"], [\"what did I read on 2021/01/18?\", \"news\"], [\"Did I read on 2021/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/19\": {\"breakfast\": {\"eid\": \"e16799\", \"logical_representation\": [\"2021/01/19\", \"breakfast\", \"pancakes\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/01/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16800\", \"logical_representation\": [\"2021/01/19\", \"Avery\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Avery for 10 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2021/01/19?\", \"10 minutes\"], [\"who did I talk to on 2021/01/19?\", \"Avery\"], [\"Did I talk to Avery on 2021/01/19?\", \"yes\"], [\"Did I talk to anyone on 2021/01/19?\", \"yes\"]], 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\"text_template_based\": \"I had lunch with Emily, Kayden, Andrew, Carter. 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I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/02/01?\", \"Piper, Kinsley, Nevaeh, Eva, Claire, Avery, Layla, Olivia, Nora, Lydia, Piper, Rylee\"], [\"what did I eat for dinner on 2021/02/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16841\", \"logical_representation\": [\"2021/02/01\", \"Lydia, Kinsley, Layla, Nora\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley, Layla, Nora for 29 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Layla, Nora in the early evening on 2021/02/01?\", \"29 minutes\"], [\"who did I talk to on 2021/02/01?\", \"Lydia, Kinsley, Layla, Nora\"], [\"Did I talk to Lydia, Kinsley, Layla, Nora on 2021/02/01?\", \"yes\"], [\"Did I talk to anyone on 2021/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16842\", \"logical_representation\": [\"2021/02/01\", \"Layla, Avery\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Layla, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery in the morning on 2021/02/01?\", \"13 minutes\"], [\"who did I talk to on 2021/02/01?\", \"Layla, Avery\"], [\"Did I talk to Layla, Avery on 2021/02/01?\", \"yes\"], [\"Did I talk to anyone on 2021/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16843\", \"logical_representation\": [\"2021/02/01\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/02/01?\", \"54 minutes\"], [\"what did I read on 2021/02/01?\", \"news\"], [\"Did I read on 2021/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/02\": {\"breakfast\": {\"eid\": \"e16844\", \"logical_representation\": [\"2021/02/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/02/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16845\", \"logical_representation\": [\"2021/02/02\", \"lunch\", \"steak\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/02/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16846\", \"logical_representation\": [\"2021/02/02\", \"dinner\", \"sandwich\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/02/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16847\", \"logical_representation\": [\"2021/02/02\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/02/02?\", \"16 minutes\"], [\"what did I watch on tv on 2021/02/02?\", \"a documentary\"], [\"Did I watch tv on 2021/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/03\": {\"exercise\": {\"eid\": \"e16848\", \"logical_representation\": [\"2021/02/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/02/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/02/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16849\", \"logical_representation\": [\"2021/02/03\", \"dinner\", \"tacos\", \"Nora, Lydia, Piper, Kinsley, Olivia, Hazel, Avery\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/02/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16850\", \"logical_representation\": [\"2021/02/03\", \"Avery\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2021/02/03?\", \"32 minutes\"], [\"who did I talk to on 2021/02/03?\", \"Avery\"], [\"Did I talk to Avery on 2021/02/03?\", \"yes\"], [\"Did I talk to anyone on 2021/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/04\": {\"breakfast\": {\"eid\": \"e16851\", \"logical_representation\": [\"2021/02/04\", \"breakfast\", \"pancakes\", \"Benjamin, Willow\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/02/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16852\", \"logical_representation\": [\"2021/02/04\", \"lunch\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/02/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2021/02/07\": {\"social media\": {\"eid\": \"e16857\", \"logical_representation\": [\"2021/02/07\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/02/07?\", \"55 minutes\"], [\"what did I read on 2021/02/07?\", \"social media\"], [\"Did I read on 2021/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16858\", \"logical_representation\": [\"2021/02/07\", \"news\", \"53 minutes\"], \"text_template_based\": \"I watched news for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/02/07?\", \"53 minutes\"], [\"what did I watch on tv on 2021/02/07?\", \"news\"], [\"Did I watch tv on 2021/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/09\": {\"exercise\": {\"eid\": \"e16863\", \"logical_representation\": [\"2021/02/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/02/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/02/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16864\", \"logical_representation\": [\"2021/02/09\", \"dinner\", \"indian food\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Carter, Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/02/09?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2021/02/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16865\", \"logical_representation\": [\"2021/02/09\", \"Rylee, Layla, Piper\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Rylee, Layla, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla, Piper in the morning on 2021/02/09?\", \"52 minutes\"], [\"who did I talk to on 2021/02/09?\", \"Rylee, Layla, Piper\"], [\"Did I talk to Rylee, Layla, Piper on 2021/02/09?\", \"yes\"], [\"Did I talk to anyone on 2021/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16866\", \"logical_representation\": [\"2021/02/09\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/02/09?\", \"48 minutes\"], [\"what did I read on 2021/02/09?\", \"a book\"], [\"Did I read on 2021/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/11\": {\"breakfast\": {\"eid\": \"e16872\", \"logical_representation\": [\"2021/02/11\", \"breakfast\", \"pancakes\", \"Carter, Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/02/11?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2021/02/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16873\", \"logical_representation\": [\"2021/02/11\", \"dinner\", \"indian food\", \"Lydia\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/02/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16874\", \"logical_representation\": [\"2021/02/11\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/02/11?\", \"50 minutes\"], [\"what did I read on 2021/02/11?\", \"social media\"], [\"Did I read on 2021/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16875\", \"logical_representation\": [\"2021/02/11\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/02/11?\", \"20 minutes\"], [\"what did I watch on tv on 2021/02/11?\", \"a tv series\"], [\"Did I watch tv on 2021/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/13\": {\"lunch\": {\"eid\": \"e16877\", \"logical_representation\": [\"2021/02/13\", \"lunch\", \"pasta\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/02/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16878\", \"logical_representation\": [\"2021/02/13\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. 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I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/02/16?\", \"Carter\"], [\"what did I eat for breakfast on 2021/02/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16889\", \"logical_representation\": [\"2021/02/16\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/02/16?\", \"47 minutes\"], [\"what did I read on 2021/02/16?\", \"social media\"], [\"Did I read on 2021/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/24\": {\"exercise\": {\"eid\": \"e16905\", \"logical_representation\": [\"2021/02/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/02/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/02/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16906\", \"logical_representation\": [\"2021/02/24\", \"lunch\", \"a burger\", \"Avery, Benjamin\"], \"text_template_based\": \"I had a burger for lunch with Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/02/24?\", \"Avery, Benjamin\"], [\"what did I eat for lunch on 2021/02/24\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2021/02/26\": {\"exercise\": {\"eid\": \"e16909\", \"logical_representation\": [\"2021/02/26\", \"biking\"], \"text_template_based\": \"I did biking on 2021/02/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/02/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16910\", \"logical_representation\": [\"2021/02/26\", \"breakfast\", \"cereals\", \"Willow\"], \"text_template_based\": \"I had breakfast. 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I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/03/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16929\", \"logical_representation\": [\"2021/03/03\", \"dinner\", \"steak\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16930\", \"logical_representation\": [\"2021/03/03\", \"Claire, Kinsley, Nevaeh\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Claire, Kinsley, Nevaeh for 51 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Nevaeh in the early afternoon on 2021/03/03?\", \"51 minutes\"], [\"who did I talk to on 2021/03/03?\", \"Claire, Kinsley, Nevaeh\"], [\"Did I talk to Claire, Kinsley, Nevaeh on 2021/03/03?\", \"yes\"], [\"Did I talk to anyone on 2021/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16931\", \"logical_representation\": [\"2021/03/03\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/03/03?\", \"5 minutes\"], [\"what did I read on 2021/03/03?\", \"news\"], [\"Did I read on 2021/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/04\": {\"exercise\": {\"eid\": \"e16932\", \"logical_representation\": [\"2021/03/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/03/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16933\", \"logical_representation\": [\"2021/03/04\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/03/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16934\", \"logical_representation\": [\"2021/03/04\", \"lunch\", \"sandwich\", \"Rylee, Lydia, Piper, Kinsley\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16935\", \"logical_representation\": [\"2021/03/04\", \"dinner\", \"chinese food\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16936\", \"logical_representation\": [\"2021/03/04\", \"Nora\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I talked to Nora for 11 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2021/03/04?\", \"11 minutes\"], [\"who did I talk to on 2021/03/04?\", \"Nora\"], [\"Did I talk to Nora on 2021/03/04?\", \"yes\"], [\"Did I talk to anyone on 2021/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16937\", \"logical_representation\": [\"2021/03/04\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/03/04?\", \"14 minutes\"], [\"what did I read on 2021/03/04?\", \"social media\"], [\"Did I read on 2021/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/05\": {\"exercise\": {\"eid\": \"e16938\", \"logical_representation\": [\"2021/03/05\", \"running\"], \"text_template_based\": \"I did running on 2021/03/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/05?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16939\", \"logical_representation\": [\"2021/03/05\", \"breakfast\", \"toast and cheese\", \"Hazel, Nora, Claire, Nevaeh, Rylee, Olivia, Kinsley, Avery\"], \"text_template_based\": \"I had toast and cheese for breakfast with Hazel, Nora, Claire, Nevaeh, Rylee, Olivia, Kinsley, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/03/05?\", \"Hazel, Nora, Claire, Nevaeh, Rylee, Olivia, Kinsley, Avery\"], [\"what did I eat for breakfast on 2021/03/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16940\", \"logical_representation\": [\"2021/03/05\", \"Claire\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2021/03/05?\", \"17 minutes\"], [\"who did I talk to on 2021/03/05?\", \"Claire\"], [\"Did I talk to Claire on 2021/03/05?\", \"yes\"], [\"Did I talk to anyone on 2021/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16941\", \"logical_representation\": [\"2021/03/05\", \"Layla, Lydia, Hazel, Eva\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Layla, Lydia, Hazel, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Hazel, Eva during lunch hours on 2021/03/05?\", \"43 minutes\"], [\"who did I talk to on 2021/03/05?\", \"Layla, Lydia, Hazel, Eva\"], [\"Did I talk to Layla, Lydia, Hazel, Eva on 2021/03/05?\", \"yes\"], [\"Did I talk to anyone on 2021/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16942\", \"logical_representation\": [\"2021/03/05\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/03/05?\", \"37 minutes\"], [\"what did I read on 2021/03/05?\", \"a book\"], [\"Did I read on 2021/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16943\", \"logical_representation\": [\"2021/03/05\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/05?\", \"51 minutes\"], [\"what did I watch on tv on 2021/03/05?\", \"a documentary\"], [\"Did I watch tv on 2021/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/06\": {\"breakfast\": {\"eid\": \"e16944\", \"logical_representation\": [\"2021/03/06\", \"breakfast\", \"toast and 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I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/03/06?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for lunch on 2021/03/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16946\", \"logical_representation\": [\"2021/03/06\", \"dinner\", \"chinese food\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16947\", \"logical_representation\": [\"2021/03/06\", \"Lydia, Piper, Rylee, Piper\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Rylee, Piper for 53 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Rylee, Piper late in the evening on 2021/03/06?\", \"53 minutes\"], [\"who did I talk to on 2021/03/06?\", \"Lydia, Piper, Rylee, Piper\"], [\"Did I talk to Lydia, Piper, Rylee, Piper on 2021/03/06?\", \"yes\"], [\"Did I talk to anyone on 2021/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16948\", \"logical_representation\": [\"2021/03/06\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/03/06?\", \"10 minutes\"], [\"what did I read on 2021/03/06?\", \"social media\"], [\"Did I read on 2021/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16949\", \"logical_representation\": [\"2021/03/06\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/06?\", \"27 minutes\"], [\"what did I watch on tv on 2021/03/06?\", \"a documentary\"], [\"Did I watch tv on 2021/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/07\": {\"exercise\": {\"eid\": \"e16950\", \"logical_representation\": [\"2021/03/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/03/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16951\", \"logical_representation\": [\"2021/03/07\", \"Lydia, Olivia, Kinsley\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Lydia, Olivia, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Kinsley in the early afternoon on 2021/03/07?\", \"29 minutes\"], [\"who did I talk to on 2021/03/07?\", \"Lydia, Olivia, Kinsley\"], [\"Did I talk to Lydia, Olivia, Kinsley on 2021/03/07?\", \"yes\"], [\"Did I talk to anyone on 2021/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/09\": {\"exercise\": {\"eid\": \"e16956\", \"logical_representation\": [\"2021/03/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/03/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16957\", \"logical_representation\": [\"2021/03/09\", \"lunch\", \"sushi\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had sushi for lunch with Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/03/09?\", \"Avery, Jackson, Willow\"], [\"what did I eat for lunch on 2021/03/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16958\", \"logical_representation\": [\"2021/03/09\", \"Kinsley, Piper, Nora, Nevaeh\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Nora, Nevaeh for 40 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Nora, Nevaeh in the late afternoon on 2021/03/09?\", \"40 minutes\"], [\"who did I talk to on 2021/03/09?\", \"Kinsley, Piper, Nora, Nevaeh\"], [\"Did I talk to Kinsley, Piper, Nora, Nevaeh on 2021/03/09?\", \"yes\"], [\"Did I talk to anyone on 2021/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16959\", \"logical_representation\": [\"2021/03/09\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/03/09?\", \"53 minutes\"], [\"what did I read on 2021/03/09?\", \"news\"], [\"Did I read on 2021/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/10\": {\"exercise\": {\"eid\": \"e16960\", \"logical_representation\": [\"2021/03/10\", \"running\"], \"text_template_based\": \"I did running on 2021/03/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/10?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16961\", \"logical_representation\": [\"2021/03/10\", \"lunch\", \"tacos\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16962\", \"logical_representation\": [\"2021/03/10\", \"Layla, Nevaeh, Lydia\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Layla, Nevaeh, Lydia for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Lydia in the morning on 2021/03/10?\", \"30 minutes\"], [\"who did I talk to on 2021/03/10?\", \"Layla, Nevaeh, Lydia\"], [\"Did I talk to Layla, Nevaeh, Lydia on 2021/03/10?\", \"yes\"], [\"Did I talk to anyone on 2021/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/11\": {\"exercise\": {\"eid\": \"e16963\", \"logical_representation\": [\"2021/03/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/03/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e16964\", \"logical_representation\": [\"2021/03/11\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/03/11?\", \"17 minutes\"], [\"what did I read on 2021/03/11?\", \"social media\"], [\"Did I read on 2021/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16965\", \"logical_representation\": [\"2021/03/11\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/11?\", \"36 minutes\"], [\"what did I watch on tv on 2021/03/11?\", \"news\"], [\"Did I watch tv on 2021/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/12\": {\"exercise\": {\"eid\": \"e16966\", \"logical_representation\": [\"2021/03/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/03/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16967\", \"logical_representation\": [\"2021/03/12\", \"lunch\", \"indian food\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16968\", \"logical_representation\": [\"2021/03/12\", \"dinner\", \"fish and chips\", \"Kayden, Emily\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16969\", \"logical_representation\": [\"2021/03/12\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/03/12?\", \"27 minutes\"], [\"what did I read on 2021/03/12?\", \"a book\"], [\"Did I read on 2021/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/13\": {\"chat0\": {\"eid\": \"e16970\", \"logical_representation\": [\"2021/03/13\", \"Layla, Nevaeh, Olivia\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Layla, Nevaeh, Olivia for 25 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Olivia in the early afternoon on 2021/03/13?\", \"25 minutes\"], [\"who did I talk to on 2021/03/13?\", \"Layla, Nevaeh, Olivia\"], [\"Did I talk to Layla, Nevaeh, Olivia on 2021/03/13?\", \"yes\"], [\"Did I talk to anyone on 2021/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/14\": {\"exercise\": {\"eid\": \"e16971\", \"logical_representation\": [\"2021/03/14\", \"running\"], \"text_template_based\": \"I did running on 2021/03/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16972\", \"logical_representation\": [\"2021/03/14\", \"breakfast\", \"toast and cheese\", \"Eva, Piper, Lydia, Claire, Kinsley, Hazel, Avery, Rylee, Olivia\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/03/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16973\", \"logical_representation\": [\"2021/03/14\", \"lunch\", \"fish and chips\", \"Claire, Kinsley, Olivia, Piper, Lydia, Hazel, Layla\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16974\", \"logical_representation\": [\"2021/03/14\", \"dinner\", \"indian food\", \"Jackson\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16975\", \"logical_representation\": [\"2021/03/14\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/03/14?\", \"37 minutes\"], [\"what did I read on 2021/03/14?\", \"news\"], [\"Did I read on 2021/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/15\": {\"exercise\": {\"eid\": \"e16976\", \"logical_representation\": [\"2021/03/15\", \"biking\"], \"text_template_based\": \"I did biking on 2021/03/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16977\", \"logical_representation\": [\"2021/03/15\", \"lunch\", \"sandwich\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16978\", \"logical_representation\": [\"2021/03/15\", \"Olivia\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the morning on 2021/03/15?\", \"40 minutes\"], [\"who did I talk to on 2021/03/15?\", \"Olivia\"], [\"Did I talk to Olivia on 2021/03/15?\", \"yes\"], [\"Did I talk to anyone on 2021/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/16\": {\"exercise\": {\"eid\": \"e16979\", \"logical_representation\": [\"2021/03/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/03/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16980\", \"logical_representation\": [\"2021/03/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Nora, Piper, Claire\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/03/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16981\", \"logical_representation\": [\"2021/03/16\", \"lunch\", \"fish and chips\", \"Emily, Andrew\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2021/03/17\": {\"exercise\": {\"eid\": \"e16982\", \"logical_representation\": [\"2021/03/17\", \"biking\"], \"text_template_based\": \"I did biking on 2021/03/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e16983\", \"logical_representation\": [\"2021/03/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Kinsley, Nora, Olivia\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Claire, Kinsley, Nora, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/03/17?\", \"Claire, Kinsley, Nora, Olivia\"], [\"what did I eat for breakfast on 2021/03/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16984\", \"logical_representation\": [\"2021/03/17\", \"dinner\", \"pasta\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Andrew, Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/03/17?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2021/03/17\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2021/03/19\": {\"exercise\": {\"eid\": \"e16988\", \"logical_representation\": [\"2021/03/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/03/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16989\", \"logical_representation\": [\"2021/03/19\", \"lunch\", \"sushi\", \"Eva, Layla, Nevaeh, Claire, Nora, Lydia, Piper, Kinsley, Rylee, Olivia, Hazel\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16990\", \"logical_representation\": [\"2021/03/19\", \"dinner\", \"a burger\", \"Kinsley, Olivia, Nora, Claire, Eva, Avery, Nevaeh, Lydia, Piper, Layla, Rylee\"], \"text_template_based\": \"I had dinner with Kinsley, Olivia, Nora, Claire, Eva, Avery, Nevaeh, Lydia, Piper, Layla, Rylee. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/03/19?\", \"Kinsley, Olivia, Nora, Claire, Eva, Avery, Nevaeh, Lydia, Piper, Layla, Rylee\"], [\"what did I eat for dinner on 2021/03/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16991\", \"logical_representation\": [\"2021/03/19\", \"Hazel\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I talked to Hazel for 33 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the morning on 2021/03/19?\", \"33 minutes\"], [\"who did I talk to on 2021/03/19?\", \"Hazel\"], [\"Did I talk to Hazel on 2021/03/19?\", \"yes\"], [\"Did I talk to anyone on 2021/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e16992\", \"logical_representation\": [\"2021/03/19\", \"Piper, Kinsley, Claire, Hazel\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Claire, Hazel for 17 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Claire, Hazel late in the evening on 2021/03/19?\", \"17 minutes\"], [\"who did I talk to on 2021/03/19?\", \"Piper, Kinsley, Claire, Hazel\"], [\"Did I talk to Piper, Kinsley, Claire, Hazel on 2021/03/19?\", \"yes\"], [\"Did I talk to anyone on 2021/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e16993\", \"logical_representation\": [\"2021/03/19\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/03/19?\", \"25 minutes\"], [\"what did I read on 2021/03/19?\", \"news\"], [\"Did I read on 2021/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/20\": {\"breakfast\": {\"eid\": \"e16994\", \"logical_representation\": [\"2021/03/20\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/03/20?\", \"Kayden\"], [\"what did I eat for breakfast on 2021/03/20\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e16995\", \"logical_representation\": [\"2021/03/20\", \"lunch\", \"tacos\", \"Willow\"], \"text_template_based\": \"I had lunch with Willow. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/03/20?\", \"Willow\"], [\"what did I eat for lunch on 2021/03/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e16996\", \"logical_representation\": [\"2021/03/20\", \"dinner\", \"a burger\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Emily, Andrew. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/03/20?\", \"Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2021/03/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e16997\", \"logical_representation\": [\"2021/03/20\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/20?\", \"37 minutes\"], [\"what did I watch on tv on 2021/03/20?\", \"a documentary\"], [\"Did I watch tv on 2021/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/21\": {\"exercise\": {\"eid\": \"e16998\", \"logical_representation\": [\"2021/03/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/03/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e16999\", \"logical_representation\": [\"2021/03/21\", \"Piper, Lydia\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Piper, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia during lunch hours on 2021/03/21?\", \"17 minutes\"], [\"who did I talk to on 2021/03/21?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2021/03/21?\", \"yes\"], [\"Did I talk to anyone on 2021/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17000\", \"logical_representation\": [\"2021/03/21\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/03/21?\", \"21 minutes\"], [\"what did I read on 2021/03/21?\", \"news\"], [\"Did I read on 2021/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/23\": {\"exercise\": {\"eid\": \"e17004\", \"logical_representation\": [\"2021/03/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/03/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17005\", \"logical_representation\": [\"2021/03/23\", \"breakfast\", \"pancakes\", \"Olivia, Layla, Nora\"], \"text_template_based\": \"I had pancakes for breakfast with Olivia, Layla, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/03/23?\", \"Olivia, Layla, Nora\"], [\"what did I eat for breakfast on 2021/03/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17006\", \"logical_representation\": [\"2021/03/23\", \"a tv series\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/23?\", \"14 minutes\"], [\"what did I watch on tv on 2021/03/23?\", \"a tv series\"], [\"Did I watch tv on 2021/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/24\": {\"exercise\": {\"eid\": \"e17007\", \"logical_representation\": [\"2021/03/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/03/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17008\", \"logical_representation\": [\"2021/03/24\", \"dinner\", \"sandwich\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17009\", \"logical_representation\": [\"2021/03/24\", \"Layla, Piper, Nevaeh, Avery\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Layla, Piper, Nevaeh, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Nevaeh, Avery late in the evening on 2021/03/24?\", \"33 minutes\"], [\"who did I talk to on 2021/03/24?\", \"Layla, Piper, Nevaeh, Avery\"], [\"Did I talk to Layla, Piper, Nevaeh, Avery on 2021/03/24?\", \"yes\"], [\"Did I talk to anyone on 2021/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17010\", \"logical_representation\": [\"2021/03/24\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/24?\", \"23 minutes\"], [\"what did I watch on tv on 2021/03/24?\", \"news\"], [\"Did I watch tv on 2021/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/25\": {\"exercise\": {\"eid\": \"e17011\", \"logical_representation\": [\"2021/03/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/03/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17012\", \"logical_representation\": [\"2021/03/25\", \"Nevaeh, Piper, Eva\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Eva for 39 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Eva late in the evening on 2021/03/25?\", \"39 minutes\"], [\"who did I talk to on 2021/03/25?\", \"Nevaeh, Piper, Eva\"], [\"Did I talk to Nevaeh, Piper, Eva on 2021/03/25?\", \"yes\"], [\"Did I talk to anyone on 2021/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17013\", \"logical_representation\": [\"2021/03/25\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/03/25?\", \"34 minutes\"], [\"what did I read on 2021/03/25?\", \"a book\"], [\"Did I read on 2021/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/27\": {\"exercise\": {\"eid\": \"e17018\", \"logical_representation\": [\"2021/03/27\", \"running\"], \"text_template_based\": \"I did running on 2021/03/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17019\", \"logical_representation\": [\"2021/03/27\", \"dinner\", \"sushi\", \"Olivia, Eva, Rylee, Nora, Piper, Lydia, Kinsley, Claire, Avery, Nevaeh, Hazel\"], \"text_template_based\": \"I had sushi for dinner with Olivia, Eva, Rylee, Nora, Piper, Lydia, Kinsley, Claire, Avery, Nevaeh, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/03/27?\", \"Olivia, Eva, Rylee, Nora, Piper, Lydia, Kinsley, Claire, Avery, Nevaeh, Hazel\"], [\"what did I eat for dinner on 2021/03/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17020\", \"logical_representation\": [\"2021/03/27\", \"Piper, Avery, Lydia\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Piper, Avery, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Lydia in the early evening on 2021/03/27?\", \"32 minutes\"], [\"who did I talk to on 2021/03/27?\", \"Piper, Avery, Lydia\"], [\"Did I talk to Piper, Avery, Lydia on 2021/03/27?\", \"yes\"], [\"Did I talk to anyone on 2021/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17021\", \"logical_representation\": [\"2021/03/27\", \"Piper\", \"during 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biking on 2021/03/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17024\", \"logical_representation\": [\"2021/03/28\", \"lunch\", \"chinese food\", \"Hazel, Layla\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17025\", \"logical_representation\": [\"2021/03/28\", \"dinner\", \"sandwich\", \"Eva, Hazel, Nevaeh, Kinsley, Avery, Piper, Claire\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17026\", \"logical_representation\": [\"2021/03/28\", \"Piper, Rylee\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Piper, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the early afternoon on 2021/03/28?\", \"37 minutes\"], [\"who did I talk to on 2021/03/28?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2021/03/28?\", \"yes\"], [\"Did I talk to anyone on 2021/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/29\": {\"lunch\": {\"eid\": \"e17027\", \"logical_representation\": [\"2021/03/29\", \"lunch\", \"fish and chips\", \"Kayden, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/03/29?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2021/03/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17028\", \"logical_representation\": [\"2021/03/29\", \"a documentary\", \"12 minutes\"], \"text_template_based\": \"I watched a documentary for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/29?\", \"12 minutes\"], [\"what did I watch on tv on 2021/03/29?\", \"a documentary\"], [\"Did I watch tv on 2021/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/30\": {\"dinner\": {\"eid\": \"e17029\", \"logical_representation\": [\"2021/03/30\", \"dinner\", \"fish and chips\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17030\", \"logical_representation\": [\"2021/03/30\", \"Kinsley, Claire, Layla, Nora\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Kinsley, Claire, Layla, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Layla, Nora in the early afternoon on 2021/03/30?\", \"44 minutes\"], [\"who did I talk to on 2021/03/30?\", \"Kinsley, Claire, Layla, Nora\"], [\"Did I talk to Kinsley, Claire, Layla, Nora on 2021/03/30?\", \"yes\"], [\"Did I talk to anyone on 2021/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17031\", \"logical_representation\": [\"2021/03/30\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/03/30?\", \"12 minutes\"], [\"what did I read on 2021/03/30?\", \"a book\"], [\"Did I read on 2021/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/31\": {\"exercise\": {\"eid\": \"e17032\", \"logical_representation\": [\"2021/03/31\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/03/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/31?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17033\", \"logical_representation\": [\"2021/03/31\", \"lunch\", \"steak\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17034\", \"logical_representation\": [\"2021/03/31\", \"dinner\", \"fish and chips\", \"Kinsley, Olivia, Lydia, Rylee, Nora, Avery, Hazel, Claire, Layla, Nevaeh, Piper\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17035\", \"logical_representation\": [\"2021/03/31\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/03/31?\", \"38 minutes\"], [\"what did I read on 2021/03/31?\", \"a book\"], [\"Did I read on 2021/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/02\": {\"exercise\": {\"eid\": \"e17038\", \"logical_representation\": [\"2021/04/02\", \"biking\"], \"text_template_based\": \"I did biking on 2021/04/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/04/02?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17039\", \"logical_representation\": [\"2021/04/02\", \"lunch\", \"chinese food\", \"Kinsley, Piper, Piper, Layla, Eva, Nora, Nevaeh, Olivia, Rylee, Claire, Avery, Lydia, Hazel\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/04/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17040\", \"logical_representation\": [\"2021/04/02\", \"dinner\", \"indian food\", \"Avery, Jackson\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/04/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17041\", \"logical_representation\": [\"2021/04/02\", \"Rylee\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2021/04/02?\", \"36 minutes\"], [\"who did I talk to on 2021/04/02?\", \"Rylee\"], [\"Did I talk to Rylee on 2021/04/02?\", \"yes\"], [\"Did I talk to anyone on 2021/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17042\", \"logical_representation\": [\"2021/04/02\", \"news\", \"6 minutes\"], \"text_template_based\": \"I watched news for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/02?\", \"6 minutes\"], [\"what did I watch on tv on 2021/04/02?\", \"news\"], [\"Did I watch tv on 2021/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/03\": {\"exercise\": {\"eid\": \"e17043\", \"logical_representation\": [\"2021/04/03\", \"biking\"], \"text_template_based\": \"I did biking on 2021/04/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/04/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17044\", \"logical_representation\": [\"2021/04/03\", \"breakfast\", \"cereals\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/04/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17045\", \"logical_representation\": [\"2021/04/03\", \"dinner\", \"pasta\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had pasta for dinner with Carter, Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/04/03?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2021/04/03\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17046\", \"logical_representation\": [\"2021/04/03\", \"Layla, Lydia, Eva, Avery\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Layla, Lydia, Eva, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Eva, Avery during lunch hours on 2021/04/03?\", \"9 minutes\"], [\"who did I talk to on 2021/04/03?\", \"Layla, Lydia, Eva, Avery\"], [\"Did I talk to Layla, Lydia, Eva, Avery on 2021/04/03?\", \"yes\"], [\"Did I talk to anyone on 2021/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17047\", \"logical_representation\": [\"2021/04/03\", \"Claire\", \"in the morning\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the morning on 2021/04/03?\", \"8 minutes\"], [\"who did I talk to on 2021/04/03?\", \"Claire\"], [\"Did I talk to Claire on 2021/04/03?\", \"yes\"], [\"Did I talk to anyone on 2021/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17048\", \"logical_representation\": [\"2021/04/03\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/04/03?\", \"20 minutes\"], [\"what did I read on 2021/04/03?\", \"news\"], [\"Did I read on 2021/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17049\", \"logical_representation\": [\"2021/04/03\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I watched a movie for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/03?\", \"25 minutes\"], [\"what did I watch on tv on 2021/04/03?\", \"a movie\"], [\"Did I watch tv on 2021/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/04\": {\"watch tv\": {\"eid\": \"e17050\", \"logical_representation\": [\"2021/04/04\", \"news\", \"33 minutes\"], \"text_template_based\": \"I watched news for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/04?\", \"33 minutes\"], [\"what did I watch on tv on 2021/04/04?\", \"news\"], [\"Did I watch tv on 2021/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/05\": {\"breakfast\": {\"eid\": \"e17051\", \"logical_representation\": [\"2021/04/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Avery, Nora, Hazel, Claire, Lydia\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/04/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17052\", \"logical_representation\": [\"2021/04/05\", \"Rylee, Layla\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Rylee, Layla for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla in the morning on 2021/04/05?\", \"45 minutes\"], [\"who did I talk to on 2021/04/05?\", \"Rylee, Layla\"], [\"Did I talk to Rylee, Layla on 2021/04/05?\", \"yes\"], [\"Did I talk to anyone on 2021/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17053\", \"logical_representation\": [\"2021/04/05\", \"Rylee, Avery, Hazel, Nevaeh\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Rylee, Avery, Hazel, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery, Hazel, Nevaeh in the early afternoon on 2021/04/05?\", \"12 minutes\"], [\"who did I talk to on 2021/04/05?\", \"Rylee, Avery, Hazel, Nevaeh\"], [\"Did I talk to Rylee, Avery, Hazel, Nevaeh on 2021/04/05?\", \"yes\"], [\"Did I talk to anyone on 2021/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/06\": {\"exercise\": {\"eid\": \"e17054\", \"logical_representation\": [\"2021/04/06\", \"biking\"], \"text_template_based\": \"I did biking on 2021/04/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/04/06?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17055\", \"logical_representation\": [\"2021/04/06\", \"breakfast\", \"oatmeal\", \"Emily, Carter\"], \"text_template_based\": \"I had oatmeal for breakfast with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/04/06?\", \"Emily, Carter\"], [\"what did I eat for breakfast on 2021/04/06\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17056\", \"logical_representation\": [\"2021/04/06\", \"dinner\", \"sushi\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had dinner. 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[\"Did I watch tv on 2021/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/15\": {\"exercise\": {\"eid\": \"e17086\", \"logical_representation\": [\"2021/04/15\", \"biking\"], \"text_template_based\": \"I did biking on 2021/04/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/04/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17087\", \"logical_representation\": [\"2021/04/15\", \"lunch\", \"pasta\", \"Hazel, Claire, Olivia\"], \"text_template_based\": \"I had pasta for lunch with Hazel, Claire, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/04/15?\", \"Hazel, Claire, Olivia\"], [\"what did I eat for lunch on 2021/04/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17088\", \"logical_representation\": [\"2021/04/15\", \"Piper\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Piper on 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\"I spent 53 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/16?\", \"53 minutes\"], [\"what did I watch on tv on 2021/04/16?\", \"a movie\"], [\"Did I watch tv on 2021/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/17\": {\"exercise\": {\"eid\": \"e17093\", \"logical_representation\": [\"2021/04/17\", \"running\"], \"text_template_based\": \"I did running on 2021/04/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/04/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17094\", \"logical_representation\": [\"2021/04/17\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/04/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17095\", \"logical_representation\": [\"2021/04/17\", \"dinner\", \"sushi\", \"Carter\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/04/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17096\", \"logical_representation\": [\"2021/04/17\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/04/17?\", \"51 minutes\"], [\"what did I read on 2021/04/17?\", \"a book\"], [\"Did I read on 2021/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/19\": {\"exercise\": {\"eid\": \"e17101\", \"logical_representation\": [\"2021/04/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/04/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/04/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17102\", \"logical_representation\": [\"2021/04/19\", \"lunch\", \"pasta\", \"Eva, Piper, Claire, Nevaeh, Layla, Olivia, Avery\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/04/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17103\", \"logical_representation\": [\"2021/04/19\", \"dinner\", \"pasta\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/04/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17104\", \"logical_representation\": [\"2021/04/19\", \"Nevaeh\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 7 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the late afternoon on 2021/04/19?\", \"7 minutes\"], [\"who did I talk to on 2021/04/19?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2021/04/19?\", \"yes\"], [\"Did I talk to anyone on 2021/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17105\", \"logical_representation\": [\"2021/04/19\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I watched a tv series for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/19?\", \"37 minutes\"], [\"what did I watch on tv on 2021/04/19?\", \"a tv series\"], [\"Did I watch tv on 2021/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/20\": {\"lunch\": {\"eid\": \"e17106\", \"logical_representation\": [\"2021/04/20\", \"lunch\", \"sushi\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/04/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17107\", \"logical_representation\": [\"2021/04/20\", \"news\", \"30 minutes\"], \"text_template_based\": \"I watched news for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/20?\", \"30 minutes\"], [\"what did I watch on tv on 2021/04/20?\", \"news\"], [\"Did I watch tv on 2021/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/25\": {\"exercise\": {\"eid\": \"e17122\", \"logical_representation\": [\"2021/04/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/04/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/04/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17123\", \"logical_representation\": [\"2021/04/25\", \"breakfast\", \"toast and cheese\", \"Claire, Lydia, Layla, Piper, Olivia, Piper\"], \"text_template_based\": \"I had toast and cheese for breakfast with Claire, Lydia, Layla, Piper, Olivia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/04/25?\", \"Claire, Lydia, Layla, Piper, Olivia, Piper\"], [\"what did I eat for breakfast on 2021/04/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17124\", \"logical_representation\": [\"2021/04/25\", \"Kinsley, Lydia, Layla, Avery\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia, Layla, Avery for 33 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Layla, Avery in the morning on 2021/04/25?\", \"33 minutes\"], [\"who did I talk to on 2021/04/25?\", \"Kinsley, Lydia, Layla, Avery\"], [\"Did I talk to Kinsley, Lydia, Layla, Avery on 2021/04/25?\", \"yes\"], [\"Did I talk to anyone on 2021/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17125\", \"logical_representation\": [\"2021/04/25\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/04/25?\", \"19 minutes\"], [\"what did I read on 2021/04/25?\", \"news\"], [\"Did I read on 2021/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/26\": {\"exercise\": {\"eid\": \"e17126\", \"logical_representation\": [\"2021/04/26\", \"biking\"], \"text_template_based\": \"I did biking on 2021/04/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/04/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17127\", \"logical_representation\": [\"2021/04/26\", \"lunch\", \"pasta\", \"Carter, Kayden\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/04/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17128\", \"logical_representation\": [\"2021/04/26\", \"dinner\", \"indian food\", \"Kinsley, Avery, Piper, Eva, Lydia, Nevaeh, Rylee, Hazel, Layla, Nora, Piper\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/04/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17129\", \"logical_representation\": [\"2021/04/26\", \"Hazel\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2021/04/26?\", \"51 minutes\"], [\"who did I talk to on 2021/04/26?\", \"Hazel\"], [\"Did I talk to Hazel on 2021/04/26?\", \"yes\"], [\"Did I talk to anyone on 2021/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17130\", \"logical_representation\": [\"2021/04/26\", \"Nora\", \"in the morning\", \"28 minutes\"], \"text_template_based\": \"I talked to Nora for 28 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2021/04/26?\", \"28 minutes\"], [\"who did I talk to on 2021/04/26?\", \"Nora\"], [\"Did I talk to Nora on 2021/04/26?\", \"yes\"], [\"Did I talk to anyone on 2021/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17131\", \"logical_representation\": [\"2021/04/26\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I watched a tv series for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/26?\", \"37 minutes\"], [\"what did I watch on tv on 2021/04/26?\", \"a tv series\"], [\"Did I watch tv on 2021/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/27\": {\"exercise\": {\"eid\": \"e17132\", \"logical_representation\": [\"2021/04/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/04/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/04/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17133\", \"logical_representation\": [\"2021/04/27\", \"breakfast\", \"pancakes\", \"Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/04/27?\", \"Carter, Kayden\"], [\"what did I eat for breakfast on 2021/04/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17134\", \"logical_representation\": [\"2021/04/27\", \"lunch\", \"sushi\", \"Avery\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/04/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17135\", \"logical_representation\": [\"2021/04/27\", \"dinner\", \"chinese food\", \"Nevaeh, Claire, Lydia, Nora, Avery, Olivia, Hazel, Piper, Rylee, Layla\"], \"text_template_based\": \"I had chinese food for dinner with Nevaeh, Claire, Lydia, Nora, Avery, Olivia, Hazel, Piper, Rylee, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/04/27?\", \"Nevaeh, Claire, Lydia, Nora, Avery, Olivia, Hazel, Piper, Rylee, Layla\"], [\"what did I eat for dinner on 2021/04/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17136\", \"logical_representation\": [\"2021/04/27\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/04/27?\", \"30 minutes\"], [\"what did I read on 2021/04/27?\", \"social media\"], [\"Did I read on 2021/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17137\", \"logical_representation\": [\"2021/04/27\", \"news\", \"24 minutes\"], \"text_template_based\": \"I watched news for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/27?\", \"24 minutes\"], [\"what did I watch on tv on 2021/04/27?\", \"news\"], [\"Did I watch tv on 2021/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/02\": {\"breakfast\": {\"eid\": \"e17149\", \"logical_representation\": [\"2021/05/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Andrew\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/05/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17150\", \"logical_representation\": [\"2021/05/02\", \"lunch\", \"tacos\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/05/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17151\", \"logical_representation\": [\"2021/05/02\", \"dinner\", \"pasta\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/05/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17152\", \"logical_representation\": [\"2021/05/02\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/02?\", \"50 minutes\"], [\"what did I watch on tv on 2021/05/02?\", \"news\"], [\"Did I watch tv on 2021/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/03\": {\"exercise\": {\"eid\": \"e17153\", \"logical_representation\": [\"2021/05/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/05/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17154\", \"logical_representation\": [\"2021/05/03\", \"dinner\", \"tacos\", \"Hazel\"], \"text_template_based\": \"I had tacos for dinner with Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/05/03?\", \"Hazel\"], [\"what did I eat for dinner on 2021/05/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17155\", \"logical_representation\": [\"2021/05/03\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/05/03?\", \"46 minutes\"], [\"what did I read on 2021/05/03?\", \"social media\"], [\"Did I read on 2021/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/04\": {\"exercise\": {\"eid\": \"e17156\", \"logical_representation\": [\"2021/05/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/05/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17157\", \"logical_representation\": [\"2021/05/04\", \"breakfast\", \"oatmeal\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/05/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17158\", \"logical_representation\": [\"2021/05/04\", \"dinner\", \"tacos\", \"Claire, Eva, Lydia, Nevaeh, Rylee, Piper, Layla, Nora, Kinsley, Piper, Hazel\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/05/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17159\", \"logical_representation\": [\"2021/05/04\", \"Claire, Rylee, Piper\", \"in the early afternoon\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Claire, Rylee, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Piper in the early afternoon on 2021/05/04?\", \"43 minutes\"], [\"who did I talk to on 2021/05/04?\", \"Claire, Rylee, Piper\"], [\"Did I talk to Claire, Rylee, Piper on 2021/05/04?\", \"yes\"], [\"Did I talk to anyone on 2021/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17160\", \"logical_representation\": [\"2021/05/04\", \"Hazel, Piper\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper for 42 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper in the early evening on 2021/05/04?\", \"42 minutes\"], [\"who did I talk to on 2021/05/04?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2021/05/04?\", \"yes\"], [\"Did I talk to anyone on 2021/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17161\", \"logical_representation\": [\"2021/05/04\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/05/04?\", \"23 minutes\"], [\"what did I read on 2021/05/04?\", \"social media\"], [\"Did I read on 2021/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/05\": {\"chat0\": {\"eid\": \"e17162\", \"logical_representation\": [\"2021/05/05\", \"Olivia, Hazel\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I talked to Olivia, Hazel for 26 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel in the morning on 2021/05/05?\", \"26 minutes\"], [\"who did I talk to on 2021/05/05?\", \"Olivia, Hazel\"], [\"Did I talk to Olivia, Hazel on 2021/05/05?\", \"yes\"], [\"Did I talk to anyone on 2021/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17163\", \"logical_representation\": [\"2021/05/05\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/05/05?\", \"44 minutes\"], [\"what did I read on 2021/05/05?\", \"a book\"], [\"Did I read on 2021/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/06\": {\"lunch\": {\"eid\": \"e17164\", \"logical_representation\": [\"2021/05/06\", \"lunch\", \"sandwich\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/05/06?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2021/05/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17165\", \"logical_representation\": [\"2021/05/06\", \"Piper, Avery, Rylee\", \"in the early evening\", \"44 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Rylee for 44 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Rylee in the early evening on 2021/05/06?\", \"44 minutes\"], [\"who did I talk to on 2021/05/06?\", \"Piper, Avery, Rylee\"], [\"Did I talk to Piper, Avery, Rylee on 2021/05/06?\", \"yes\"], [\"Did I talk to anyone on 2021/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/07\": {\"exercise\": {\"eid\": \"e17166\", \"logical_representation\": [\"2021/05/07\", \"biking\"], \"text_template_based\": \"I did biking on 2021/05/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/07?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17167\", \"logical_representation\": [\"2021/05/07\", \"breakfast\", \"cereals\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast with Willow, Benjamin, Jackson. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/05/07?\", \"Willow, Benjamin, Jackson\"], [\"what did I eat for breakfast on 2021/05/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17168\", \"logical_representation\": [\"2021/05/07\", \"lunch\", \"chinese food\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Andrew, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/05/07?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2021/05/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17169\", \"logical_representation\": [\"2021/05/07\", \"news\", \"52 minutes\"], \"text_template_based\": \"I watched news for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/07?\", \"52 minutes\"], [\"what did I watch on tv on 2021/05/07?\", \"news\"], [\"Did I watch tv on 2021/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/08\": {\"lunch\": {\"eid\": \"e17170\", \"logical_representation\": [\"2021/05/08\", \"lunch\", \"fish and chips\", \"Olivia, Rylee, Hazel\"], \"text_template_based\": \"I had fish and chips for lunch with Olivia, Rylee, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/05/08?\", \"Olivia, Rylee, Hazel\"], [\"what did I eat for lunch on 2021/05/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17171\", \"logical_representation\": [\"2021/05/08\", \"dinner\", \"steak\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/05/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17172\", \"logical_representation\": [\"2021/05/08\", \"Layla, Olivia\", \"during lunch hours\", \"50 minutes\"], \"text_template_based\": \"I talked to Layla, Olivia for 50 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia during lunch hours on 2021/05/08?\", \"50 minutes\"], [\"who did I talk to on 2021/05/08?\", \"Layla, Olivia\"], [\"Did I talk to Layla, Olivia on 2021/05/08?\", \"yes\"], [\"Did I talk to anyone on 2021/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17173\", \"logical_representation\": [\"2021/05/08\", \"Eva, Kinsley, Nevaeh, Olivia\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Eva, Kinsley, Nevaeh, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Nevaeh, Olivia in the late afternoon on 2021/05/08?\", \"44 minutes\"], [\"who did I talk to on 2021/05/08?\", \"Eva, Kinsley, Nevaeh, Olivia\"], [\"Did I talk to Eva, Kinsley, Nevaeh, Olivia on 2021/05/08?\", \"yes\"], [\"Did I talk to anyone on 2021/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17174\", \"logical_representation\": [\"2021/05/08\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/05/08?\", \"23 minutes\"], [\"what did I read on 2021/05/08?\", \"a book\"], [\"Did I read on 2021/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17175\", \"logical_representation\": [\"2021/05/08\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/08?\", \"12 minutes\"], [\"what did I watch on tv on 2021/05/08?\", \"a movie\"], [\"Did I watch tv on 2021/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/09\": {\"chat1\": {\"eid\": \"e17176\", \"logical_representation\": [\"2021/05/09\", \"Lydia\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Lydia for 37 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2021/05/09?\", \"37 minutes\"], [\"who did I talk to on 2021/05/09?\", \"Lydia\"], [\"Did I talk to Lydia on 2021/05/09?\", \"yes\"], [\"Did I talk to anyone on 2021/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17177\", \"logical_representation\": [\"2021/05/09\", \"a movie\", \"34 minutes\"], \"text_template_based\": \"I watched a movie for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/09?\", \"34 minutes\"], [\"what did I watch on tv on 2021/05/09?\", \"a movie\"], [\"Did I watch tv on 2021/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/11\": {\"exercise\": {\"eid\": \"e17183\", \"logical_representation\": [\"2021/05/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/05/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17184\", \"logical_representation\": [\"2021/05/11\", \"breakfast\", \"toast and cheese\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/05/11?\", \"Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2021/05/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17185\", \"logical_representation\": [\"2021/05/11\", \"dinner\", \"indian food\", \"Eva, Piper, Nora, Olivia, Rylee, Layla, Piper, Claire, Avery, Kinsley, Nevaeh, Lydia, Hazel\"], \"text_template_based\": \"I had dinner with Eva, Piper, Nora, Olivia, Rylee, Layla, Piper, Claire, Avery, Kinsley, Nevaeh, Lydia, Hazel. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/05/11?\", \"Eva, Piper, Nora, Olivia, Rylee, Layla, Piper, Claire, Avery, Kinsley, Nevaeh, Lydia, Hazel\"], [\"what did I eat for dinner on 2021/05/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17186\", \"logical_representation\": [\"2021/05/11\", \"Avery, Olivia\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Avery, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia during lunch hours on 2021/05/11?\", \"35 minutes\"], [\"who did I talk to on 2021/05/11?\", \"Avery, Olivia\"], [\"Did I talk to Avery, Olivia on 2021/05/11?\", \"yes\"], [\"Did I talk to anyone on 2021/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17187\", \"logical_representation\": [\"2021/05/11\", \"Avery, Piper, Lydia\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Lydia for 43 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Lydia in the early evening on 2021/05/11?\", \"43 minutes\"], [\"who did I talk to on 2021/05/11?\", \"Avery, Piper, Lydia\"], [\"Did I talk to Avery, Piper, Lydia on 2021/05/11?\", \"yes\"], [\"Did I talk to anyone on 2021/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/12\": {\"exercise\": {\"eid\": \"e17188\", \"logical_representation\": [\"2021/05/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/05/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17189\", \"logical_representation\": [\"2021/05/12\", \"lunch\", \"tacos\", \"Layla, Nora, Eva, Piper, Rylee, Nevaeh, Avery, Claire, Hazel\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/05/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17190\", \"logical_representation\": [\"2021/05/12\", \"dinner\", \"pasta\", \"Nevaeh, Kinsley, Hazel, Piper, Avery, Layla, Eva, Claire, Lydia, Piper\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/05/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17191\", \"logical_representation\": [\"2021/05/12\", \"Layla\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the late afternoon on 2021/05/12?\", \"45 minutes\"], [\"who did I talk to on 2021/05/12?\", \"Layla\"], [\"Did I talk to Layla on 2021/05/12?\", \"yes\"], [\"Did I talk to anyone on 2021/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/14\": {\"exercise\": {\"eid\": \"e17195\", \"logical_representation\": [\"2021/05/14\", \"running\"], \"text_template_based\": \"I did running on 2021/05/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17196\", \"logical_representation\": [\"2021/05/14\", \"lunch\", \"fish and chips\", \"Jackson, Avery\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/05/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17197\", \"logical_representation\": [\"2021/05/14\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/05/14?\", \"45 minutes\"], [\"what did I read on 2021/05/14?\", \"a book\"], [\"Did I read on 2021/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17198\", \"logical_representation\": [\"2021/05/14\", \"news\", \"37 minutes\"], \"text_template_based\": \"I watched news for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/14?\", \"37 minutes\"], [\"what did I watch on tv on 2021/05/14?\", \"news\"], [\"Did I watch tv on 2021/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/16\": {\"read\": {\"eid\": \"e17202\", \"logical_representation\": [\"2021/05/16\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/05/16?\", \"29 minutes\"], [\"what did I read on 2021/05/16?\", \"a book\"], [\"Did I read on 2021/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17203\", \"logical_representation\": [\"2021/05/16\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/16?\", \"54 minutes\"], [\"what did I watch on tv on 2021/05/16?\", \"a documentary\"], [\"Did I watch tv on 2021/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/17\": {\"lunch\": {\"eid\": \"e17204\", \"logical_representation\": [\"2021/05/17\", \"lunch\", \"pasta\", \"Andrew, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Carter. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/05/17?\", \"Andrew, Carter\"], [\"what did I eat for lunch on 2021/05/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17205\", \"logical_representation\": [\"2021/05/17\", \"Nora, Hazel, Nevaeh\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Nora, Hazel, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel, Nevaeh in the early evening on 2021/05/17?\", \"50 minutes\"], [\"who did I talk to on 2021/05/17?\", \"Nora, Hazel, Nevaeh\"], [\"Did I talk to Nora, Hazel, Nevaeh on 2021/05/17?\", \"yes\"], [\"Did I talk to anyone on 2021/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17206\", \"logical_representation\": [\"2021/05/17\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/05/17?\", \"19 minutes\"], [\"what did I read on 2021/05/17?\", \"social media\"], [\"Did I read on 2021/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/18\": {\"exercise\": {\"eid\": \"e17207\", \"logical_representation\": [\"2021/05/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/05/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17208\", \"logical_representation\": [\"2021/05/18\", \"Layla\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the late afternoon on 2021/05/18?\", \"47 minutes\"], [\"who did I talk to on 2021/05/18?\", \"Layla\"], [\"Did I talk to Layla on 2021/05/18?\", \"yes\"], [\"Did I talk to anyone on 2021/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17209\", \"logical_representation\": [\"2021/05/18\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/05/18?\", \"24 minutes\"], [\"what did I read on 2021/05/18?\", \"news\"], [\"Did I read on 2021/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/20\": {\"breakfast\": {\"eid\": \"e17217\", \"logical_representation\": [\"2021/05/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Claire\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/05/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17218\", \"logical_representation\": [\"2021/05/20\", \"lunch\", \"fish and chips\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/05/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17219\", \"logical_representation\": [\"2021/05/20\", \"Rylee, Olivia, Lydia\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Rylee, Olivia, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia, Lydia late in the evening on 2021/05/20?\", \"45 minutes\"], [\"who did I talk to on 2021/05/20?\", \"Rylee, Olivia, Lydia\"], [\"Did I talk to Rylee, Olivia, Lydia on 2021/05/20?\", \"yes\"], [\"Did I talk to anyone on 2021/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17220\", \"logical_representation\": [\"2021/05/20\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/05/20?\", \"8 minutes\"], [\"what did I read on 2021/05/20?\", \"news\"], [\"Did I read on 2021/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/22\": {\"exercise\": {\"eid\": \"e17225\", \"logical_representation\": [\"2021/05/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/05/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17226\", \"logical_representation\": [\"2021/05/22\", \"dinner\", \"steak\", \"Emily, Kayden\"], \"text_template_based\": \"I had steak for dinner with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/05/22?\", \"Emily, Kayden\"], [\"what did I eat for dinner on 2021/05/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17227\", \"logical_representation\": [\"2021/05/22\", \"Kinsley\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Kinsley for 26 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2021/05/22?\", \"26 minutes\"], [\"who did I talk to on 2021/05/22?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2021/05/22?\", \"yes\"], [\"Did I talk to anyone on 2021/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17228\", \"logical_representation\": [\"2021/05/22\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I watched a documentary for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/22?\", \"22 minutes\"], [\"what did I watch on tv on 2021/05/22?\", \"a documentary\"], [\"Did I watch tv on 2021/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/23\": {\"exercise\": {\"eid\": \"e17229\", \"logical_representation\": [\"2021/05/23\", \"running\"], \"text_template_based\": \"I did running on 2021/05/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17230\", \"logical_representation\": [\"2021/05/23\", \"breakfast\", \"cereals\", \"Claire, Nora, Layla, Lydia\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/05/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17231\", \"logical_representation\": [\"2021/05/23\", \"dinner\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/05/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17232\", \"logical_representation\": [\"2021/05/23\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/05/23?\", \"46 minutes\"], [\"what did I read on 2021/05/23?\", \"a book\"], [\"Did I read on 2021/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/24\": {\"exercise\": {\"eid\": \"e17233\", \"logical_representation\": [\"2021/05/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/05/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17234\", \"logical_representation\": [\"2021/05/24\", \"lunch\", \"indian food\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Andrew, Carter, Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/05/24?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for lunch on 2021/05/24\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17235\", \"logical_representation\": [\"2021/05/24\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/05/24?\", \"49 minutes\"], [\"what did I read on 2021/05/24?\", \"a book\"], [\"Did I read on 2021/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/25\": {\"exercise\": {\"eid\": \"e17236\", \"logical_representation\": [\"2021/05/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/05/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17237\", \"logical_representation\": [\"2021/05/25\", \"breakfast\", \"cereals\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had breakfast with Avery, Benjamin, Jackson, Willow. 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[\"Did I watch tv on 2021/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/07\": {\"exercise\": {\"eid\": \"e17286\", \"logical_representation\": [\"2021/06/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/06/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/06/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17287\", \"logical_representation\": [\"2021/06/07\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/06/07?\", \"Emily, Andrew, Carter\"], [\"what did I eat for breakfast on 2021/06/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17288\", \"logical_representation\": [\"2021/06/07\", \"lunch\", \"sushi\", \"Andrew, Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/06/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17289\", \"logical_representation\": [\"2021/06/07\", \"Rylee\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2021/06/07?\", \"54 minutes\"], [\"who did I talk to on 2021/06/07?\", \"Rylee\"], [\"Did I talk to Rylee on 2021/06/07?\", \"yes\"], [\"Did I talk to anyone on 2021/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17290\", \"logical_representation\": [\"2021/06/07\", \"Nevaeh, Lydia\", \"in the morning\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Nevaeh, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia in the morning on 2021/06/07?\", \"36 minutes\"], [\"who did I talk to on 2021/06/07?\", \"Nevaeh, Lydia\"], [\"Did I talk to Nevaeh, Lydia on 2021/06/07?\", \"yes\"], [\"Did I talk to anyone on 2021/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17291\", \"logical_representation\": [\"2021/06/07\", \"a tv series\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/07?\", \"44 minutes\"], [\"what did I watch on tv on 2021/06/07?\", \"a tv series\"], [\"Did I watch tv on 2021/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/08\": {\"breakfast\": {\"eid\": \"e17292\", \"logical_representation\": [\"2021/06/08\", \"breakfast\", \"cereals\", \"Nora, Kinsley, Layla, Eva, Rylee, Lydia, Nevaeh, Olivia, Hazel, Piper, Avery\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/06/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17293\", \"logical_representation\": [\"2021/06/08\", \"lunch\", \"sandwich\", \"Lydia, Piper, Nora\"], \"text_template_based\": \"I had lunch with Lydia, Piper, Nora. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/06/08?\", \"Lydia, Piper, Nora\"], [\"what did I eat for lunch on 2021/06/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17294\", \"logical_representation\": [\"2021/06/08\", \"Lydia, Eva\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Lydia, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva late in the evening on 2021/06/08?\", \"6 minutes\"], [\"who did I talk to on 2021/06/08?\", \"Lydia, Eva\"], [\"Did I talk to Lydia, Eva on 2021/06/08?\", \"yes\"], [\"Did I talk to anyone on 2021/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17295\", \"logical_representation\": [\"2021/06/08\", \"news\", \"24 minutes\"], \"text_template_based\": \"I watched news for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/08?\", \"24 minutes\"], [\"what did I watch on tv on 2021/06/08?\", \"news\"], [\"Did I watch tv on 2021/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/12\": {\"exercise\": {\"eid\": \"e17308\", \"logical_representation\": [\"2021/06/12\", \"biking\"], \"text_template_based\": \"I did biking on 2021/06/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/06/12?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17309\", \"logical_representation\": [\"2021/06/12\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/06/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17310\", \"logical_representation\": [\"2021/06/12\", \"dinner\", \"fish and chips\", \"Benjamin\"], \"text_template_based\": \"I had fish and chips for dinner with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/06/12?\", \"Benjamin\"], [\"what did I eat for dinner on 2021/06/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17311\", \"logical_representation\": [\"2021/06/12\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/06/12?\", \"25 minutes\"], [\"what did I read on 2021/06/12?\", \"social media\"], [\"Did I read on 2021/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17312\", \"logical_representation\": [\"2021/06/12\", \"news\", \"20 minutes\"], \"text_template_based\": \"I watched news for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/12?\", \"20 minutes\"], [\"what did I watch on tv on 2021/06/12?\", \"news\"], [\"Did I watch tv on 2021/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/13\": {\"breakfast\": {\"eid\": \"e17313\", \"logical_representation\": [\"2021/06/13\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Kinsley, Piper, Lydia, Olivia, Rylee, Hazel, Nevaeh\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/06/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17314\", \"logical_representation\": [\"2021/06/13\", \"lunch\", \"indian food\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had indian food for lunch with Carter, Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/06/13?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2021/06/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17315\", \"logical_representation\": [\"2021/06/13\", \"dinner\", \"chinese food\", \"Nora, Claire, Nevaeh, Rylee, Lydia, Olivia, Hazel, Piper, Piper, Layla, Eva\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/06/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17316\", \"logical_representation\": [\"2021/06/13\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/13?\", \"45 minutes\"], [\"what did I watch on tv on 2021/06/13?\", \"a movie\"], [\"Did I watch tv on 2021/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/17\": {\"breakfast\": {\"eid\": \"e17327\", \"logical_representation\": [\"2021/06/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/06/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17328\", \"logical_representation\": [\"2021/06/17\", \"lunch\", \"indian food\", \"Benjamin, Willow\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/06/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17329\", \"logical_representation\": [\"2021/06/17\", \"dinner\", \"tacos\", \"Eva, Kinsley, Piper, Nora, Olivia, Layla\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/06/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17330\", \"logical_representation\": [\"2021/06/17\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/06/17?\", \"26 minutes\"], [\"what did I read on 2021/06/17?\", \"news\"], [\"Did I read on 2021/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17331\", \"logical_representation\": [\"2021/06/17\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/17?\", \"17 minutes\"], [\"what did I watch on tv on 2021/06/17?\", \"a documentary\"], [\"Did I watch tv on 2021/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/18\": {\"lunch\": {\"eid\": \"e17332\", \"logical_representation\": [\"2021/06/18\", \"lunch\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/06/18?\", \"Kayden\"], [\"what did I eat for lunch on 2021/06/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17333\", \"logical_representation\": [\"2021/06/18\", \"Rylee, Olivia\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Rylee, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia in the early evening on 2021/06/18?\", \"30 minutes\"], [\"who did I talk to on 2021/06/18?\", \"Rylee, Olivia\"], [\"Did I talk to Rylee, Olivia on 2021/06/18?\", \"yes\"], [\"Did I talk to anyone on 2021/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17334\", \"logical_representation\": [\"2021/06/18\", \"a movie\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/18?\", \"31 minutes\"], [\"what did I watch on tv on 2021/06/18?\", \"a movie\"], [\"Did I watch tv on 2021/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/19\": {\"watch tv\": {\"eid\": \"e17335\", \"logical_representation\": [\"2021/06/19\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I watched a documentary for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/19?\", \"25 minutes\"], [\"what did I watch on tv on 2021/06/19?\", \"a documentary\"], [\"Did I watch tv on 2021/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/20\": {\"dinner\": {\"eid\": \"e17336\", \"logical_representation\": [\"2021/06/20\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/06/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17337\", \"logical_representation\": [\"2021/06/20\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/06/20?\", \"47 minutes\"], [\"what did I read on 2021/06/20?\", \"social media\"], [\"Did I read on 2021/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17338\", \"logical_representation\": [\"2021/06/20\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/20?\", \"9 minutes\"], [\"what did I watch on tv on 2021/06/20?\", \"a documentary\"], [\"Did I watch tv on 2021/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/21\": {\"exercise\": {\"eid\": \"e17339\", \"logical_representation\": [\"2021/06/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/06/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/06/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17340\", \"logical_representation\": [\"2021/06/21\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/06/21?\", \"Carter\"], [\"what did I eat for breakfast on 2021/06/21\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17341\", \"logical_representation\": [\"2021/06/21\", \"lunch\", \"fish and chips\", \"Jackson, Willow\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/06/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17342\", \"logical_representation\": [\"2021/06/21\", \"dinner\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/06/21?\", \"Carter\"], [\"what did I eat for dinner on 2021/06/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17343\", \"logical_representation\": [\"2021/06/21\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/06/21?\", \"28 minutes\"], [\"what did I read on 2021/06/21?\", \"news\"], [\"Did I read on 2021/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/22\": {\"lunch\": {\"eid\": \"e17344\", \"logical_representation\": [\"2021/06/22\", \"lunch\", \"steak\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Emily, Andrew. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/06/22?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for lunch on 2021/06/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17345\", \"logical_representation\": [\"2021/06/22\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/22?\", \"33 minutes\"], [\"what did I watch on tv on 2021/06/22?\", \"a documentary\"], [\"Did I watch tv on 2021/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/23\": {\"lunch\": {\"eid\": \"e17346\", \"logical_representation\": [\"2021/06/23\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/06/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17347\", \"logical_representation\": [\"2021/06/23\", \"dinner\", \"sandwich\", \"Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/06/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17348\", \"logical_representation\": [\"2021/06/23\", \"Olivia, Eva, Hazel, Piper\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I talked to Olivia, Eva, Hazel, Piper for 5 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva, Hazel, Piper in the morning on 2021/06/23?\", \"5 minutes\"], [\"who did I talk to on 2021/06/23?\", \"Olivia, Eva, Hazel, Piper\"], [\"Did I talk to Olivia, Eva, Hazel, Piper on 2021/06/23?\", \"yes\"], [\"Did I talk to anyone on 2021/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17349\", \"logical_representation\": [\"2021/06/23\", \"Piper, Claire, Kinsley\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Kinsley for 43 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Kinsley in the late afternoon on 2021/06/23?\", \"43 minutes\"], [\"who did I talk to on 2021/06/23?\", \"Piper, Claire, Kinsley\"], [\"Did I talk to Piper, Claire, Kinsley on 2021/06/23?\", \"yes\"], [\"Did I talk to anyone on 2021/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17350\", \"logical_representation\": [\"2021/06/23\", \"news\", \"14 minutes\"], \"text_template_based\": \"I watched news for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/23?\", \"14 minutes\"], [\"what did I watch on tv on 2021/06/23?\", \"news\"], [\"Did I watch tv on 2021/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/25\": {\"exercise\": {\"eid\": \"e17354\", \"logical_representation\": [\"2021/06/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/06/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17355\", \"logical_representation\": [\"2021/06/25\", \"lunch\", \"fish and chips\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/06/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17356\", \"logical_representation\": [\"2021/06/25\", \"Piper, Claire\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Piper, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire in the morning on 2021/06/25?\", \"29 minutes\"], [\"who did I talk to on 2021/06/25?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2021/06/25?\", \"yes\"], [\"Did I talk to anyone on 2021/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/26\": {\"exercise\": {\"eid\": \"e17357\", \"logical_representation\": [\"2021/06/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/06/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/06/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17358\", \"logical_representation\": [\"2021/06/26\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/06/26?\", \"34 minutes\"], [\"what did I read on 2021/06/26?\", \"news\"], [\"Did I read on 2021/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17359\", \"logical_representation\": [\"2021/06/26\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I watched a movie for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/26?\", \"22 minutes\"], [\"what did I watch on tv on 2021/06/26?\", \"a movie\"], [\"Did I watch tv on 2021/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/27\": {\"dinner\": {\"eid\": \"e17360\", \"logical_representation\": [\"2021/06/27\", \"dinner\", \"indian food\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Carter, Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/06/27?\", \"Andrew, Carter, Emily\"], [\"what did I eat for dinner on 2021/06/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17361\", \"logical_representation\": [\"2021/06/27\", \"Nora, Layla, Nevaeh, Claire\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Nora, Layla, Nevaeh, Claire for 41 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Nevaeh, Claire in the early evening on 2021/06/27?\", \"41 minutes\"], [\"who did I talk to on 2021/06/27?\", \"Nora, Layla, Nevaeh, Claire\"], [\"Did I talk to Nora, Layla, Nevaeh, Claire on 2021/06/27?\", \"yes\"], [\"Did I talk to anyone on 2021/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17362\", \"logical_representation\": [\"2021/06/27\", \"Hazel, Layla, Avery, Lydia\", \"in the morning\", \"50 minutes\"], \"text_template_based\": \"I talked to Hazel, Layla, Avery, Lydia for 50 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla, Avery, Lydia in the morning on 2021/06/27?\", \"50 minutes\"], [\"who did I talk to on 2021/06/27?\", \"Hazel, Layla, Avery, Lydia\"], [\"Did I talk to Hazel, Layla, Avery, Lydia on 2021/06/27?\", \"yes\"], [\"Did I talk to anyone on 2021/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17363\", \"logical_representation\": [\"2021/06/27\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/06/27?\", \"32 minutes\"], [\"what did I read on 2021/06/27?\", \"a book\"], [\"Did I read on 2021/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17364\", \"logical_representation\": [\"2021/06/27\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/27?\", \"22 minutes\"], [\"what did I watch on tv on 2021/06/27?\", \"a tv series\"], [\"Did I watch tv on 2021/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/29\": {\"exercise\": {\"eid\": \"e17371\", \"logical_representation\": [\"2021/06/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/06/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/06/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17372\", \"logical_representation\": [\"2021/06/29\", \"lunch\", \"a burger\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/06/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17373\", \"logical_representation\": [\"2021/06/29\", \"dinner\", \"pasta\", \"Lydia\"], \"text_template_based\": \"I had pasta for dinner with Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/06/29?\", \"Lydia\"], [\"what did I eat for dinner on 2021/06/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17374\", \"logical_representation\": [\"2021/06/29\", \"Piper\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I talked to Piper for 31 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2021/06/29?\", \"31 minutes\"], [\"who did I talk to on 2021/06/29?\", \"Piper\"], [\"Did I talk to Piper on 2021/06/29?\", \"yes\"], [\"Did I talk to anyone on 2021/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17375\", \"logical_representation\": [\"2021/06/29\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/06/29?\", \"35 minutes\"], [\"what did I read on 2021/06/29?\", \"social media\"], [\"Did I read on 2021/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/30\": {\"lunch\": {\"eid\": \"e17376\", \"logical_representation\": [\"2021/06/30\", \"lunch\", \"steak\", \"Hazel, Claire, Avery, Olivia, Kinsley, Layla, Nevaeh, Lydia, Rylee, Nora, Piper\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/06/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17377\", \"logical_representation\": [\"2021/06/30\", \"dinner\", \"indian food\", \"Lydia, Hazel, Eva, Avery, Olivia\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/06/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17378\", \"logical_representation\": [\"2021/06/30\", \"Olivia, Piper\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper for 11 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper late in the evening on 2021/06/30?\", \"11 minutes\"], [\"who did I talk to on 2021/06/30?\", \"Olivia, Piper\"], [\"Did I talk to Olivia, Piper on 2021/06/30?\", \"yes\"], [\"Did I talk to anyone on 2021/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17379\", \"logical_representation\": [\"2021/06/30\", \"Piper\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper for 27 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2021/06/30?\", \"27 minutes\"], [\"who did I talk to on 2021/06/30?\", \"Piper\"], [\"Did I talk to Piper on 2021/06/30?\", \"yes\"], [\"Did I talk to anyone on 2021/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/01\": {\"exercise\": {\"eid\": \"e17380\", \"logical_representation\": [\"2021/07/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/07/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17381\", \"logical_representation\": [\"2021/07/01\", \"breakfast\", \"cereals\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Kayden, Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/07/01?\", \"Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2021/07/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17382\", \"logical_representation\": [\"2021/07/01\", \"lunch\", \"a burger\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/07/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17383\", \"logical_representation\": [\"2021/07/01\", \"a movie\", \"54 minutes\"], \"text_template_based\": \"I watched a movie for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/01?\", \"54 minutes\"], [\"what did I watch on tv on 2021/07/01?\", \"a movie\"], [\"Did I watch tv on 2021/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/02\": {\"breakfast\": {\"eid\": \"e17384\", \"logical_representation\": [\"2021/07/02\", \"breakfast\", \"toast and cheese\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had toast and cheese for breakfast with Avery, Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/07/02?\", \"Avery, Benjamin, Willow\"], [\"what did I eat for breakfast on 2021/07/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17385\", \"logical_representation\": [\"2021/07/02\", \"lunch\", \"tacos\", \"Kinsley, Nevaeh, Piper\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/07/02\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/07/03\": {\"breakfast\": {\"eid\": \"e17386\", \"logical_representation\": [\"2021/07/03\", \"breakfast\", \"pancakes\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/07/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17387\", \"logical_representation\": [\"2021/07/03\", \"lunch\", \"a burger\", \"Eva, Lydia, Nevaeh, Nora, Claire, Olivia, Avery, Piper\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/07/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17388\", \"logical_representation\": [\"2021/07/03\", \"Avery\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I talked to Avery for 36 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery during lunch hours on 2021/07/03?\", \"36 minutes\"], [\"who did I talk to on 2021/07/03?\", \"Avery\"], [\"Did I talk to Avery on 2021/07/03?\", \"yes\"], [\"Did I talk to anyone on 2021/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17389\", \"logical_representation\": [\"2021/07/03\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/07/03?\", \"18 minutes\"], [\"what did I read on 2021/07/03?\", \"social media\"], [\"Did I read on 2021/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/04\": {\"breakfast\": {\"eid\": \"e17390\", \"logical_representation\": [\"2021/07/04\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Avery\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/07/04?\", \"Jackson, Avery\"], [\"what did I eat for breakfast on 2021/07/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17391\", \"logical_representation\": [\"2021/07/04\", \"lunch\", \"sushi\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I had sushi for lunch with Avery, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/07/04?\", \"Avery, Willow, Jackson\"], [\"what did I eat for lunch on 2021/07/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17392\", \"logical_representation\": [\"2021/07/04\", \"dinner\", \"sandwich\", \"Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/07/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17393\", \"logical_representation\": [\"2021/07/04\", \"Kinsley, Nora, Rylee\", \"in the morning\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Kinsley, Nora, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Rylee in the morning on 2021/07/04?\", \"36 minutes\"], [\"who did I talk to on 2021/07/04?\", \"Kinsley, Nora, Rylee\"], [\"Did I talk to Kinsley, Nora, Rylee on 2021/07/04?\", \"yes\"], [\"Did I talk to anyone on 2021/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17394\", \"logical_representation\": [\"2021/07/04\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/07/04?\", \"45 minutes\"], [\"what did I read on 2021/07/04?\", \"a book\"], [\"Did I read on 2021/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17395\", \"logical_representation\": [\"2021/07/04\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/04?\", \"11 minutes\"], [\"what did I watch on tv on 2021/07/04?\", \"a movie\"], [\"Did I watch tv on 2021/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/05\": {\"exercise\": {\"eid\": \"e17396\", \"logical_representation\": [\"2021/07/05\", \"biking\"], \"text_template_based\": \"I did biking on 2021/07/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/05?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17397\", \"logical_representation\": [\"2021/07/05\", \"breakfast\", \"oatmeal\", \"Willow, Benjamin\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/07/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17398\", \"logical_representation\": [\"2021/07/05\", \"lunch\", \"a burger\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had a burger for lunch with Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/07/05?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2021/07/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17399\", \"logical_representation\": [\"2021/07/05\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/05?\", \"25 minutes\"], [\"what did I watch on tv on 2021/07/05?\", \"news\"], [\"Did I watch tv on 2021/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/07\": {\"exercise\": {\"eid\": \"e17405\", \"logical_representation\": [\"2021/07/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/07/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17406\", \"logical_representation\": [\"2021/07/07\", \"breakfast\", \"pancakes\", \"Avery, Jackson\"], \"text_template_based\": \"I had breakfast with Avery, Jackson. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/07/07?\", \"Avery, Jackson\"], [\"what did I eat for breakfast on 2021/07/07\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17407\", \"logical_representation\": [\"2021/07/07\", \"dinner\", \"a burger\", \"Claire, Layla, Rylee, Lydia\"], \"text_template_based\": \"I had dinner with Claire, Layla, Rylee, Lydia. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/07?\", \"Claire, Layla, Rylee, Lydia\"], [\"what did I eat for dinner on 2021/07/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17408\", \"logical_representation\": [\"2021/07/07\", \"Rylee, Claire, Piper\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Rylee, Claire, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Piper in the early afternoon on 2021/07/07?\", \"33 minutes\"], [\"who did I talk to on 2021/07/07?\", \"Rylee, Claire, Piper\"], [\"Did I talk to Rylee, Claire, Piper on 2021/07/07?\", \"yes\"], [\"Did I talk to anyone on 2021/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17409\", \"logical_representation\": [\"2021/07/07\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/07/07?\", \"35 minutes\"], [\"what did I read on 2021/07/07?\", \"social media\"], [\"Did I read on 2021/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/09\": {\"exercise\": {\"eid\": \"e17415\", \"logical_representation\": [\"2021/07/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/07/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17416\", \"logical_representation\": [\"2021/07/09\", \"lunch\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/07/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17417\", \"logical_representation\": [\"2021/07/09\", \"dinner\", \"chinese food\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had dinner with Jackson, Benjamin, Avery, Willow. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/09?\", \"Jackson, Benjamin, Avery, Willow\"], [\"what did I eat for dinner on 2021/07/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17418\", \"logical_representation\": [\"2021/07/09\", \"Nevaeh, Piper, Layla\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Nevaeh, Piper, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Layla in the early evening on 2021/07/09?\", \"24 minutes\"], [\"who did I talk to on 2021/07/09?\", \"Nevaeh, Piper, Layla\"], [\"Did I talk to Nevaeh, Piper, Layla on 2021/07/09?\", \"yes\"], [\"Did I talk to anyone on 2021/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17419\", \"logical_representation\": [\"2021/07/09\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/09?\", \"22 minutes\"], [\"what did I watch on tv on 2021/07/09?\", \"news\"], [\"Did I watch tv on 2021/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/10\": {\"exercise\": {\"eid\": \"e17420\", \"logical_representation\": [\"2021/07/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17421\", \"logical_representation\": [\"2021/07/10\", \"Rylee, Piper, Kinsley, Hazel\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Rylee, Piper, Kinsley, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Kinsley, Hazel in the early evening on 2021/07/10?\", \"11 minutes\"], [\"who did I talk to on 2021/07/10?\", \"Rylee, Piper, Kinsley, Hazel\"], [\"Did I talk to Rylee, Piper, Kinsley, Hazel on 2021/07/10?\", \"yes\"], [\"Did I talk to anyone on 2021/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17422\", \"logical_representation\": [\"2021/07/10\", \"Olivia, Lydia, Layla, Piper\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Olivia, Lydia, Layla, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia, Layla, Piper in the early evening on 2021/07/10?\", \"39 minutes\"], [\"who did I talk to on 2021/07/10?\", \"Olivia, Lydia, Layla, Piper\"], [\"Did I talk to Olivia, Lydia, Layla, Piper on 2021/07/10?\", \"yes\"], [\"Did I talk to anyone on 2021/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/11\": {\"exercise\": {\"eid\": \"e17423\", \"logical_representation\": [\"2021/07/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/07/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17424\", \"logical_representation\": [\"2021/07/11\", \"dinner\", \"indian food\", \"Piper, Hazel, Piper, Lydia\"], \"text_template_based\": \"I had indian food for dinner with Piper, Hazel, Piper, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/11?\", \"Piper, Hazel, Piper, Lydia\"], [\"what did I eat for dinner on 2021/07/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17425\", \"logical_representation\": [\"2021/07/11\", \"Kinsley, Eva\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Kinsley, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva in the early afternoon on 2021/07/11?\", \"54 minutes\"], [\"who did I talk to on 2021/07/11?\", \"Kinsley, Eva\"], [\"Did I talk to Kinsley, Eva on 2021/07/11?\", \"yes\"], [\"Did I talk to anyone on 2021/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17426\", \"logical_representation\": [\"2021/07/11\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/07/11?\", \"47 minutes\"], [\"what did I read on 2021/07/11?\", \"social media\"], [\"Did I read on 2021/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/12\": {\"breakfast\": {\"eid\": \"e17427\", \"logical_representation\": [\"2021/07/12\", \"breakfast\", \"cereals\", \"Lydia, Piper, Nora, Eva, Claire, Avery, Kinsley, Nevaeh\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/07/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17428\", \"logical_representation\": [\"2021/07/12\", \"dinner\", \"fish and chips\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I had fish and chips for dinner with Jackson, Willow, Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/12?\", \"Jackson, Willow, Avery, Benjamin\"], [\"what did I eat for dinner on 2021/07/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17429\", \"logical_representation\": [\"2021/07/12\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I watched a movie for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/12?\", \"7 minutes\"], [\"what did I watch on tv on 2021/07/12?\", \"a movie\"], [\"Did I watch tv on 2021/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/16\": {\"breakfast\": {\"eid\": \"e17441\", \"logical_representation\": [\"2021/07/16\", \"breakfast\", \"oatmeal\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I had oatmeal for breakfast with Jackson, Benjamin, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/07/16?\", \"Jackson, Benjamin, Willow, Avery\"], [\"what did I eat for breakfast on 2021/07/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17442\", \"logical_representation\": [\"2021/07/16\", \"lunch\", \"a burger\", \"Olivia, Piper, Nevaeh, Claire, Lydia, Nora, Avery\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/07/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17443\", \"logical_representation\": [\"2021/07/16\", \"dinner\", \"pasta\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner with Emily, Carter. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/16?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2021/07/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17444\", \"logical_representation\": [\"2021/07/16\", \"Avery, Olivia, Piper\", \"during lunch hours\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Avery, Olivia, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Piper during lunch hours on 2021/07/16?\", \"5 minutes\"], [\"who did I talk to on 2021/07/16?\", \"Avery, Olivia, Piper\"], [\"Did I talk to Avery, Olivia, Piper on 2021/07/16?\", \"yes\"], [\"Did I talk to anyone on 2021/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17445\", \"logical_representation\": [\"2021/07/16\", \"Hazel\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2021/07/16?\", \"28 minutes\"], [\"who did I talk to on 2021/07/16?\", \"Hazel\"], [\"Did I talk to Hazel on 2021/07/16?\", \"yes\"], [\"Did I talk to anyone on 2021/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17446\", \"logical_representation\": [\"2021/07/16\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/07/16?\", \"21 minutes\"], [\"what did I read on 2021/07/16?\", \"social media\"], [\"Did I read on 2021/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17447\", \"logical_representation\": [\"2021/07/16\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/16?\", \"46 minutes\"], [\"what did I watch on tv on 2021/07/16?\", \"news\"], [\"Did I watch tv on 2021/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/18\": {\"breakfast\": {\"eid\": \"e17454\", \"logical_representation\": [\"2021/07/18\", \"breakfast\", \"toast and cheese\", \"Lydia, Eva, Hazel, Piper, Kinsley, Layla, Nora, Avery\"], \"text_template_based\": \"I had toast and cheese for breakfast with Lydia, Eva, Hazel, Piper, Kinsley, Layla, Nora, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/07/18?\", \"Lydia, Eva, Hazel, Piper, Kinsley, Layla, Nora, Avery\"], [\"what did I eat for breakfast on 2021/07/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17455\", \"logical_representation\": [\"2021/07/18\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/07/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17456\", \"logical_representation\": [\"2021/07/18\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/18?\", \"Kayden\"], [\"what did I eat for dinner on 2021/07/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17457\", \"logical_representation\": [\"2021/07/18\", \"Layla, Nevaeh, Nora\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Layla, Nevaeh, Nora for 20 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Nora late in the evening on 2021/07/18?\", \"20 minutes\"], [\"who did I talk to on 2021/07/18?\", \"Layla, Nevaeh, Nora\"], [\"Did I talk to Layla, Nevaeh, Nora on 2021/07/18?\", \"yes\"], [\"Did I talk to anyone on 2021/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/19\": {\"breakfast\": {\"eid\": \"e17458\", \"logical_representation\": [\"2021/07/19\", \"breakfast\", \"peanut-butter-jam\", \"Olivia, Claire\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/07/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17459\", \"logical_representation\": [\"2021/07/19\", \"Nora, Nevaeh, Eva\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Nora, Nevaeh, Eva for 45 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Eva in the late afternoon on 2021/07/19?\", \"45 minutes\"], [\"who did I talk to on 2021/07/19?\", \"Nora, Nevaeh, Eva\"], [\"Did I talk to Nora, Nevaeh, Eva on 2021/07/19?\", \"yes\"], [\"Did I talk to anyone on 2021/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17460\", \"logical_representation\": [\"2021/07/19\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/07/19?\", \"37 minutes\"], [\"what did I read on 2021/07/19?\", \"news\"], [\"Did I read on 2021/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17461\", \"logical_representation\": [\"2021/07/19\", \"news\", \"51 minutes\"], \"text_template_based\": \"I watched news for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/19?\", \"51 minutes\"], [\"what did I watch on tv on 2021/07/19?\", \"news\"], [\"Did I watch tv on 2021/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/21\": {\"breakfast\": {\"eid\": \"e17466\", \"logical_representation\": [\"2021/07/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/07/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17467\", \"logical_representation\": [\"2021/07/21\", \"dinner\", \"sushi\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/07/21\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2021/07/22\": {\"breakfast\": {\"eid\": \"e17468\", \"logical_representation\": [\"2021/07/22\", \"breakfast\", \"cereals\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/07/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17469\", \"logical_representation\": [\"2021/07/22\", \"dinner\", \"chinese food\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had chinese food for dinner with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/22?\", \"Emily, Carter, Andrew\"], [\"what did I eat for dinner on 2021/07/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17470\", \"logical_representation\": [\"2021/07/22\", \"Avery\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Avery for 19 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2021/07/22?\", \"19 minutes\"], [\"who did I talk to on 2021/07/22?\", \"Avery\"], [\"Did I talk to Avery on 2021/07/22?\", \"yes\"], [\"Did I talk to anyone on 2021/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17471\", \"logical_representation\": [\"2021/07/22\", \"Nora, Claire\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I talked to Nora, Claire for 26 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire in the morning on 2021/07/22?\", \"26 minutes\"], [\"who did I talk to on 2021/07/22?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2021/07/22?\", \"yes\"], [\"Did I talk to anyone on 2021/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/23\": {\"chat0\": {\"eid\": \"e17472\", \"logical_representation\": [\"2021/07/23\", \"Nevaeh, Piper\", \"in the morning\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Nevaeh, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper in the morning on 2021/07/23?\", \"28 minutes\"], [\"who did I talk to on 2021/07/23?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2021/07/23?\", \"yes\"], [\"Did I talk to anyone on 2021/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17473\", \"logical_representation\": [\"2021/07/23\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/07/23?\", \"8 minutes\"], [\"what did I read on 2021/07/23?\", \"news\"], [\"Did I read on 2021/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17474\", \"logical_representation\": [\"2021/07/23\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/23?\", \"18 minutes\"], [\"what did I watch on tv on 2021/07/23?\", \"news\"], [\"Did I watch tv on 2021/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/24\": {\"exercise\": {\"eid\": \"e17475\", \"logical_representation\": [\"2021/07/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/07/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17476\", \"logical_representation\": [\"2021/07/24\", \"dinner\", \"fish and chips\", \"Lydia, Piper, Hazel, Piper, Olivia, Avery, Nevaeh, Eva, Kinsley, Claire, Layla, Nora, Rylee\"], \"text_template_based\": \"I had fish and chips for dinner with Lydia, Piper, Hazel, Piper, Olivia, Avery, Nevaeh, Eva, Kinsley, Claire, Layla, Nora, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/24?\", \"Lydia, Piper, Hazel, Piper, Olivia, Avery, Nevaeh, Eva, Kinsley, Claire, Layla, Nora, Rylee\"], [\"what did I eat for dinner on 2021/07/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17477\", \"logical_representation\": [\"2021/07/24\", \"Layla\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2021/07/24?\", \"38 minutes\"], [\"who did I talk to on 2021/07/24?\", \"Layla\"], [\"Did I talk to Layla on 2021/07/24?\", \"yes\"], [\"Did I talk to anyone on 2021/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/25\": {\"chat0\": {\"eid\": \"e17478\", \"logical_representation\": [\"2021/07/25\", \"Piper, Olivia, Hazel, Rylee\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia, Hazel, Rylee for 32 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Hazel, Rylee in the early afternoon on 2021/07/25?\", \"32 minutes\"], [\"who did I talk to on 2021/07/25?\", \"Piper, Olivia, Hazel, Rylee\"], [\"Did I talk to Piper, Olivia, Hazel, Rylee on 2021/07/25?\", \"yes\"], [\"Did I talk to anyone on 2021/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17479\", \"logical_representation\": [\"2021/07/25\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/25?\", \"20 minutes\"], [\"what did I watch on tv on 2021/07/25?\", \"a tv series\"], [\"Did I watch tv on 2021/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/28\": {\"chat0\": {\"eid\": \"e17489\", \"logical_representation\": [\"2021/07/28\", \"Olivia, Nevaeh, Eva\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Olivia, Nevaeh, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh, Eva in the early evening on 2021/07/28?\", \"17 minutes\"], [\"who did I talk to on 2021/07/28?\", \"Olivia, Nevaeh, Eva\"], [\"Did I talk to Olivia, Nevaeh, Eva on 2021/07/28?\", \"yes\"], [\"Did I talk to anyone on 2021/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17490\", \"logical_representation\": [\"2021/07/28\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I watched a movie for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/28?\", \"22 minutes\"], [\"what did I watch on tv on 2021/07/28?\", \"a movie\"], [\"Did I watch tv on 2021/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/30\": {\"exercise\": {\"eid\": \"e17494\", \"logical_representation\": [\"2021/07/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/07/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17495\", \"logical_representation\": [\"2021/07/30\", \"dinner\", \"indian food\", \"Hazel, Nora, Olivia, Rylee, Avery, Nevaeh, Claire, Piper, Eva, Piper, Layla\"], \"text_template_based\": \"I had dinner with Hazel, Nora, Olivia, Rylee, Avery, Nevaeh, Claire, Piper, Eva, Piper, Layla. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/30?\", \"Hazel, Nora, Olivia, Rylee, Avery, Nevaeh, Claire, Piper, Eva, Piper, Layla\"], [\"what did I eat for dinner on 2021/07/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17496\", \"logical_representation\": [\"2021/07/30\", \"Kinsley, Eva, Avery\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva, Avery for 6 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Avery during lunch hours on 2021/07/30?\", \"6 minutes\"], [\"who did I talk to on 2021/07/30?\", \"Kinsley, Eva, Avery\"], [\"Did I talk to Kinsley, Eva, Avery on 2021/07/30?\", \"yes\"], [\"Did I talk to anyone on 2021/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17497\", \"logical_representation\": [\"2021/07/30\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I watched a documentary for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/30?\", \"50 minutes\"], [\"what did I watch on tv on 2021/07/30?\", \"a documentary\"], [\"Did I watch tv on 2021/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/31\": {\"exercise\": {\"eid\": \"e17498\", \"logical_representation\": [\"2021/07/31\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/07/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/31?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17499\", \"logical_representation\": [\"2021/07/31\", \"dinner\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had fish and chips for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/31?\", \"Emily\"], [\"what did I eat for dinner on 2021/07/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17500\", \"logical_representation\": [\"2021/07/31\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/07/31?\", \"17 minutes\"], [\"what did I read on 2021/07/31?\", \"a book\"], [\"Did I read on 2021/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17501\", \"logical_representation\": [\"2021/07/31\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/31?\", \"22 minutes\"], [\"what did I watch on tv on 2021/07/31?\", \"news\"], [\"Did I watch tv on 2021/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/04\": {\"breakfast\": {\"eid\": \"e17516\", \"logical_representation\": [\"2021/08/04\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden, Carter, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/08/04?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for breakfast on 2021/08/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17517\", \"logical_representation\": [\"2021/08/04\", \"lunch\", \"indian food\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/08/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17518\", \"logical_representation\": [\"2021/08/04\", \"dinner\", \"steak\", \"Benjamin, Jackson\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17519\", \"logical_representation\": [\"2021/08/04\", \"Kinsley, Nevaeh, Piper, Avery\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh, Piper, Avery for 21 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Piper, Avery late in the evening on 2021/08/04?\", \"21 minutes\"], [\"who did I talk to on 2021/08/04?\", \"Kinsley, Nevaeh, Piper, Avery\"], [\"Did I talk to Kinsley, Nevaeh, Piper, Avery on 2021/08/04?\", \"yes\"], [\"Did I talk to anyone on 2021/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17520\", \"logical_representation\": [\"2021/08/04\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/08/04?\", \"42 minutes\"], [\"what did I read on 2021/08/04?\", \"a book\"], [\"Did I read on 2021/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/05\": {\"exercise\": {\"eid\": \"e17521\", \"logical_representation\": [\"2021/08/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/08/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17522\", \"logical_representation\": [\"2021/08/05\", \"breakfast\", \"oatmeal\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/08/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17523\", \"logical_representation\": [\"2021/08/05\", \"lunch\", \"sandwich\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/08/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17524\", \"logical_representation\": [\"2021/08/05\", \"dinner\", \"sushi\", \"Kinsley, Eva, Rylee, Piper, Nora, Hazel\"], \"text_template_based\": \"I had dinner with Kinsley, Eva, Rylee, Piper, Nora, Hazel. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/08/05?\", \"Kinsley, Eva, Rylee, Piper, Nora, Hazel\"], [\"what did I eat for dinner on 2021/08/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17525\", \"logical_representation\": [\"2021/08/05\", \"Layla, Nevaeh\", \"in the late afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Layla, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh in the late afternoon on 2021/08/05?\", \"21 minutes\"], [\"who did I talk to on 2021/08/05?\", \"Layla, Nevaeh\"], [\"Did I talk to Layla, Nevaeh on 2021/08/05?\", \"yes\"], [\"Did I talk to anyone on 2021/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17526\", \"logical_representation\": [\"2021/08/05\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I watched a tv series for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/05?\", \"50 minutes\"], [\"what did I watch on tv on 2021/08/05?\", \"a tv series\"], [\"Did I watch tv on 2021/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/06\": {\"exercise\": {\"eid\": \"e17527\", \"logical_representation\": [\"2021/08/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/08/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17528\", \"logical_representation\": [\"2021/08/06\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/08/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17529\", \"logical_representation\": [\"2021/08/06\", \"lunch\", \"steak\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/08/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17530\", \"logical_representation\": [\"2021/08/06\", \"dinner\", \"sushi\", \"Benjamin, Jackson\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/06\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2021/08/07\": {\"exercise\": {\"eid\": \"e17531\", \"logical_representation\": [\"2021/08/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/08/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17532\", \"logical_representation\": [\"2021/08/07\", \"lunch\", \"chinese food\", \"Avery, Benjamin\"], \"text_template_based\": \"I had lunch with Avery, Benjamin. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/08/07?\", \"Avery, Benjamin\"], [\"what did I eat for lunch on 2021/08/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17533\", \"logical_representation\": [\"2021/08/07\", \"Avery, Nevaeh, Rylee, Kinsley\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Avery, Nevaeh, Rylee, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Rylee, Kinsley in the early afternoon on 2021/08/07?\", \"42 minutes\"], [\"who did I talk to on 2021/08/07?\", \"Avery, Nevaeh, Rylee, Kinsley\"], [\"Did I talk to Avery, Nevaeh, Rylee, Kinsley on 2021/08/07?\", \"yes\"], [\"Did I talk to anyone on 2021/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/08\": {\"exercise\": {\"eid\": \"e17534\", \"logical_representation\": [\"2021/08/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/08/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17535\", \"logical_representation\": [\"2021/08/08\", \"dinner\", \"a burger\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17536\", \"logical_representation\": [\"2021/08/08\", \"Kinsley, Nevaeh\", \"during lunch hours\", \"19 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh for 19 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh during lunch hours on 2021/08/08?\", \"19 minutes\"], [\"who did I talk to on 2021/08/08?\", \"Kinsley, Nevaeh\"], [\"Did I talk to Kinsley, Nevaeh on 2021/08/08?\", \"yes\"], [\"Did I talk to anyone on 2021/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17537\", \"logical_representation\": [\"2021/08/08\", \"news\", \"25 minutes\"], \"text_template_based\": \"I watched news for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/08?\", \"25 minutes\"], [\"what did I watch on tv on 2021/08/08?\", \"news\"], [\"Did I watch tv on 2021/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/09\": {\"exercise\": {\"eid\": \"e17538\", \"logical_representation\": [\"2021/08/09\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/08/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/09?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17539\", \"logical_representation\": [\"2021/08/09\", \"breakfast\", \"cereals\", \"Avery, Nevaeh, Kinsley, Layla, Piper, Lydia, Eva\"], \"text_template_based\": \"I had cereals for breakfast with Avery, Nevaeh, Kinsley, Layla, Piper, Lydia, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/08/09?\", \"Avery, Nevaeh, Kinsley, Layla, Piper, Lydia, Eva\"], [\"what did I eat for breakfast on 2021/08/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17540\", \"logical_representation\": [\"2021/08/09\", \"lunch\", \"steak\", \"Jackson\"], \"text_template_based\": \"I had steak for lunch with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/08/09?\", \"Jackson\"], [\"what did I eat for lunch on 2021/08/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17541\", \"logical_representation\": [\"2021/08/09\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/08/09?\", \"53 minutes\"], [\"what did I read on 2021/08/09?\", \"a book\"], [\"Did I read on 2021/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/10\": {\"exercise\": {\"eid\": \"e17542\", \"logical_representation\": [\"2021/08/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/08/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17543\", \"logical_representation\": [\"2021/08/10\", \"lunch\", \"a burger\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/08/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17544\", \"logical_representation\": [\"2021/08/10\", \"dinner\", \"steak\", \"Carter\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17545\", \"logical_representation\": [\"2021/08/10\", \"Lydia, Eva\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Lydia, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva in the early afternoon on 2021/08/10?\", \"20 minutes\"], [\"who did I talk to on 2021/08/10?\", \"Lydia, Eva\"], [\"Did I talk to Lydia, Eva on 2021/08/10?\", \"yes\"], [\"Did I talk to anyone on 2021/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17546\", \"logical_representation\": [\"2021/08/10\", \"Hazel, Layla, Nora\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Hazel, Layla, Nora for 13 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla, Nora late in the evening on 2021/08/10?\", \"13 minutes\"], [\"who did I talk to on 2021/08/10?\", \"Hazel, Layla, Nora\"], [\"Did I talk to Hazel, Layla, Nora on 2021/08/10?\", \"yes\"], [\"Did I talk to anyone on 2021/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17547\", \"logical_representation\": [\"2021/08/10\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/08/10?\", \"46 minutes\"], [\"what did I read on 2021/08/10?\", \"a book\"], [\"Did I read on 2021/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17548\", \"logical_representation\": [\"2021/08/10\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/10?\", \"53 minutes\"], [\"what did I watch on tv on 2021/08/10?\", \"a documentary\"], [\"Did I watch tv on 2021/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/12\": {\"exercise\": {\"eid\": \"e17552\", \"logical_representation\": [\"2021/08/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/08/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17553\", \"logical_representation\": [\"2021/08/12\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/08/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17554\", \"logical_representation\": [\"2021/08/12\", \"Rylee\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Rylee for 50 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2021/08/12?\", \"50 minutes\"], [\"who did I talk to on 2021/08/12?\", \"Rylee\"], [\"Did I talk to Rylee on 2021/08/12?\", \"yes\"], [\"Did I talk to anyone on 2021/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17555\", \"logical_representation\": [\"2021/08/12\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/08/12?\", \"46 minutes\"], [\"what did I read on 2021/08/12?\", \"a book\"], [\"Did I read on 2021/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17556\", \"logical_representation\": [\"2021/08/12\", \"a documentary\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/12?\", \"48 minutes\"], [\"what did I watch on tv on 2021/08/12?\", \"a documentary\"], [\"Did I watch tv on 2021/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/13\": {\"lunch\": {\"eid\": \"e17557\", \"logical_representation\": [\"2021/08/13\", \"lunch\", \"tacos\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Emily, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/08/13?\", \"Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2021/08/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17558\", \"logical_representation\": [\"2021/08/13\", \"Hazel\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Hazel for 5 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2021/08/13?\", \"5 minutes\"], [\"who did I talk to on 2021/08/13?\", \"Hazel\"], [\"Did I talk to Hazel on 2021/08/13?\", \"yes\"], [\"Did I talk to anyone on 2021/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/14\": {\"exercise\": {\"eid\": \"e17559\", \"logical_representation\": [\"2021/08/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/08/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17560\", \"logical_representation\": [\"2021/08/14\", \"Eva, Hazel\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel for 15 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel in the early afternoon on 2021/08/14?\", \"15 minutes\"], [\"who did I talk to on 2021/08/14?\", \"Eva, Hazel\"], [\"Did I talk to Eva, Hazel on 2021/08/14?\", \"yes\"], [\"Did I talk to anyone on 2021/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/15\": {\"breakfast\": {\"eid\": \"e17561\", \"logical_representation\": [\"2021/08/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Willow\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/08/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17562\", \"logical_representation\": [\"2021/08/15\", \"dinner\", \"pasta\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17563\", \"logical_representation\": [\"2021/08/15\", \"Layla, Nevaeh, Lydia\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Layla, Nevaeh, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh, Lydia in the late afternoon on 2021/08/15?\", \"54 minutes\"], [\"who did I talk to on 2021/08/15?\", \"Layla, Nevaeh, Lydia\"], [\"Did I talk to Layla, Nevaeh, Lydia on 2021/08/15?\", \"yes\"], [\"Did I talk to anyone on 2021/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17564\", \"logical_representation\": [\"2021/08/15\", \"Piper, Nora, Lydia, Hazel\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Lydia, Hazel for 27 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Lydia, Hazel during lunch hours on 2021/08/15?\", \"27 minutes\"], [\"who did I talk to on 2021/08/15?\", \"Piper, Nora, Lydia, Hazel\"], [\"Did I talk to Piper, Nora, Lydia, Hazel on 2021/08/15?\", \"yes\"], [\"Did I talk to anyone on 2021/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/16\": {\"exercise\": {\"eid\": \"e17565\", \"logical_representation\": [\"2021/08/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/08/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17566\", \"logical_representation\": [\"2021/08/16\", \"breakfast\", \"oatmeal\", \"Piper, Hazel, Piper\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/08/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17567\", \"logical_representation\": [\"2021/08/16\", \"lunch\", \"a burger\", \"Piper, Lydia, Claire, Olivia, Avery, Rylee, Eva, Nevaeh\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/08/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17568\", \"logical_representation\": [\"2021/08/16\", \"Piper, Nora, Kinsley\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Kinsley for 24 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Kinsley late in the evening on 2021/08/16?\", \"24 minutes\"], [\"who did I talk to on 2021/08/16?\", \"Piper, Nora, Kinsley\"], [\"Did I talk to Piper, Nora, Kinsley on 2021/08/16?\", \"yes\"], [\"Did I talk to anyone on 2021/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17569\", \"logical_representation\": [\"2021/08/16\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/16?\", \"19 minutes\"], [\"what did I watch on tv on 2021/08/16?\", \"news\"], [\"Did I watch tv on 2021/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/17\": {\"breakfast\": {\"eid\": \"e17570\", \"logical_representation\": [\"2021/08/17\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/08/17\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17571\", \"logical_representation\": [\"2021/08/17\", \"lunch\", \"tacos\", \"Rylee, Layla, Eva, Hazel, Nevaeh, Nora\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/08/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17572\", \"logical_representation\": [\"2021/08/17\", \"dinner\", \"sushi\", \"Lydia, Rylee, Layla, Piper, Piper, Nora\"], \"text_template_based\": \"I had dinner with Lydia, Rylee, Layla, Piper, Piper, Nora. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/08/17?\", \"Lydia, Rylee, Layla, Piper, Piper, Nora\"], [\"what did I eat for dinner on 2021/08/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17573\", \"logical_representation\": [\"2021/08/17\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/08/17?\", \"45 minutes\"], [\"what did I read on 2021/08/17?\", \"a book\"], [\"Did I read on 2021/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17574\", \"logical_representation\": [\"2021/08/17\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I watched a tv series for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/17?\", \"28 minutes\"], [\"what did I watch on tv on 2021/08/17?\", \"a tv series\"], [\"Did I watch tv on 2021/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/18\": {\"dinner\": {\"eid\": \"e17575\", \"logical_representation\": [\"2021/08/18\", \"dinner\", \"pasta\", \"Avery\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17576\", \"logical_representation\": [\"2021/08/18\", \"Nora, Piper, Rylee, Piper\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Nora, Piper, Rylee, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Rylee, Piper in the late afternoon on 2021/08/18?\", \"32 minutes\"], [\"who did I talk to on 2021/08/18?\", \"Nora, Piper, Rylee, Piper\"], [\"Did I talk to Nora, Piper, Rylee, Piper on 2021/08/18?\", \"yes\"], [\"Did I talk to anyone on 2021/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17577\", \"logical_representation\": [\"2021/08/18\", \"Rylee\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2021/08/18?\", \"50 minutes\"], [\"who did I talk to on 2021/08/18?\", \"Rylee\"], [\"Did I talk to Rylee on 2021/08/18?\", \"yes\"], [\"Did I talk to anyone on 2021/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17578\", \"logical_representation\": [\"2021/08/18\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/08/18?\", \"26 minutes\"], [\"what did I read on 2021/08/18?\", \"social media\"], [\"Did I read on 2021/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17579\", \"logical_representation\": [\"2021/08/18\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/18?\", \"44 minutes\"], [\"what did I watch on tv on 2021/08/18?\", \"a documentary\"], [\"Did I watch tv on 2021/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/20\": {\"exercise\": {\"eid\": \"e17583\", \"logical_representation\": [\"2021/08/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/08/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17584\", \"logical_representation\": [\"2021/08/20\", \"lunch\", \"pasta\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Carter, Andrew, Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/08/20?\", \"Emily, Carter, Andrew, Kayden\"], [\"what did I eat for lunch on 2021/08/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17585\", \"logical_representation\": [\"2021/08/20\", \"dinner\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17586\", \"logical_representation\": [\"2021/08/20\", \"Layla\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla during lunch hours on 2021/08/20?\", \"28 minutes\"], [\"who did I talk to on 2021/08/20?\", \"Layla\"], [\"Did I talk to Layla on 2021/08/20?\", \"yes\"], [\"Did I talk to anyone on 2021/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17587\", \"logical_representation\": [\"2021/08/20\", \"a tv series\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/20?\", \"51 minutes\"], [\"what did I watch on tv on 2021/08/20?\", \"a tv series\"], [\"Did I watch tv on 2021/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/21\": {\"breakfast\": {\"eid\": \"e17588\", \"logical_representation\": [\"2021/08/21\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/08/21?\", \"Emily\"], [\"what did I eat for breakfast on 2021/08/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17589\", \"logical_representation\": [\"2021/08/21\", \"Kinsley\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the late afternoon on 2021/08/21?\", \"41 minutes\"], [\"who did I talk to on 2021/08/21?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2021/08/21?\", \"yes\"], [\"Did I talk to anyone on 2021/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/22\": {\"dinner\": {\"eid\": \"e17590\", \"logical_representation\": [\"2021/08/22\", \"dinner\", \"indian food\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/22\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2021/08/24\": {\"exercise\": {\"eid\": \"e17594\", \"logical_representation\": [\"2021/08/24\", \"biking\"], \"text_template_based\": \"I did biking on 2021/08/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17595\", \"logical_representation\": [\"2021/08/24\", \"breakfast\", \"oatmeal\", \"Layla, Hazel, Nora, Piper, Rylee\"], \"text_template_based\": \"I had breakfast with Layla, Hazel, Nora, Piper, Rylee. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/08/24?\", \"Layla, Hazel, Nora, Piper, Rylee\"], [\"what did I eat for breakfast on 2021/08/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17596\", \"logical_representation\": [\"2021/08/24\", \"Eva\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2021/08/24?\", \"20 minutes\"], [\"who did I talk to on 2021/08/24?\", \"Eva\"], [\"Did I talk to Eva on 2021/08/24?\", \"yes\"], [\"Did I talk to anyone on 2021/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17597\", \"logical_representation\": [\"2021/08/24\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/08/24?\", \"39 minutes\"], [\"what did I read on 2021/08/24?\", \"a book\"], [\"Did I read on 2021/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/25\": {\"breakfast\": {\"eid\": \"e17598\", \"logical_representation\": [\"2021/08/25\", \"breakfast\", \"toast and cheese\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/08/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17599\", \"logical_representation\": [\"2021/08/25\", \"lunch\", \"indian food\", \"Benjamin\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/08/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17600\", \"logical_representation\": [\"2021/08/25\", \"Rylee, Nora\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Rylee, Nora for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora in the early afternoon on 2021/08/25?\", \"42 minutes\"], [\"who did I talk to on 2021/08/25?\", \"Rylee, Nora\"], [\"Did I talk to Rylee, Nora on 2021/08/25?\", \"yes\"], [\"Did I talk to anyone on 2021/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17601\", \"logical_representation\": [\"2021/08/25\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/08/25?\", \"46 minutes\"], [\"what did I read on 2021/08/25?\", \"social media\"], [\"Did I read on 2021/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/26\": {\"exercise\": {\"eid\": \"e17602\", \"logical_representation\": [\"2021/08/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/08/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17603\", \"logical_representation\": [\"2021/08/26\", \"breakfast\", \"oatmeal\", \"Nevaeh, Lydia, Piper, Nora\"], \"text_template_based\": \"I had breakfast with Nevaeh, Lydia, Piper, Nora. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/08/26?\", \"Nevaeh, Lydia, Piper, Nora\"], [\"what did I eat for breakfast on 2021/08/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17604\", \"logical_representation\": [\"2021/08/26\", \"lunch\", \"a burger\", \"Layla, Claire\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/08/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17605\", \"logical_representation\": [\"2021/08/26\", \"dinner\", \"steak\", \"Piper\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17606\", \"logical_representation\": [\"2021/08/26\", \"Piper\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I talked to Piper for 49 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2021/08/26?\", \"49 minutes\"], [\"who did I talk to on 2021/08/26?\", \"Piper\"], [\"Did I talk to Piper on 2021/08/26?\", \"yes\"], [\"Did I talk to anyone on 2021/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17607\", \"logical_representation\": [\"2021/08/26\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/08/26?\", \"38 minutes\"], [\"what did I read on 2021/08/26?\", \"social media\"], [\"Did I read on 2021/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/27\": {\"exercise\": {\"eid\": \"e17608\", \"logical_representation\": [\"2021/08/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/08/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17609\", \"logical_representation\": [\"2021/08/27\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Eva, Piper, Piper, Lydia, Nevaeh, Avery\"], \"text_template_based\": \"I had breakfast with Layla, Eva, Piper, Piper, Lydia, Nevaeh, Avery. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/08/27?\", \"Layla, Eva, Piper, Piper, Lydia, Nevaeh, Avery\"], [\"what did I eat for breakfast on 2021/08/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17610\", \"logical_representation\": [\"2021/08/27\", \"dinner\", \"pasta\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/27\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2021/08/28\": {\"exercise\": {\"eid\": \"e17611\", \"logical_representation\": [\"2021/08/28\", \"running\"], \"text_template_based\": \"I did running on 2021/08/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17612\", \"logical_representation\": [\"2021/08/28\", \"lunch\", \"sandwich\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had sandwich for lunch with Emily, Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/08/28?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2021/08/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17613\", \"logical_representation\": [\"2021/08/28\", \"dinner\", \"a burger\", \"Jackson\"], \"text_template_based\": \"I had dinner with Jackson. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/08/28?\", \"Jackson\"], [\"what did I eat for dinner on 2021/08/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17614\", \"logical_representation\": [\"2021/08/28\", \"Avery\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I talked to Avery for 36 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery during lunch hours on 2021/08/28?\", \"36 minutes\"], [\"who did I talk to on 2021/08/28?\", \"Avery\"], [\"Did I talk to Avery on 2021/08/28?\", \"yes\"], [\"Did I talk to anyone on 2021/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17615\", \"logical_representation\": [\"2021/08/28\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I watched a documentary for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/28?\", \"50 minutes\"], [\"what did I watch on tv on 2021/08/28?\", \"a documentary\"], [\"Did I watch tv on 2021/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/29\": {\"exercise\": {\"eid\": \"e17616\", \"logical_representation\": [\"2021/08/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/08/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17617\", \"logical_representation\": [\"2021/08/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/08/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17618\", \"logical_representation\": [\"2021/08/29\", \"dinner\", \"pasta\", \"Kayden, Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/29\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2021/08/31\": {\"exercise\": {\"eid\": \"e17623\", \"logical_representation\": [\"2021/08/31\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/08/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/31?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17624\", \"logical_representation\": [\"2021/08/31\", \"breakfast\", \"pancakes\", \"Eva, Piper, Hazel, Nora, Claire, Olivia, Piper, Kinsley\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/08/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17625\", \"logical_representation\": [\"2021/08/31\", \"dinner\", \"indian food\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/31\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17626\", \"logical_representation\": [\"2021/08/31\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/08/31?\", \"7 minutes\"], [\"what did I read on 2021/08/31?\", \"news\"], [\"Did I read on 2021/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/01\": {\"lunch\": {\"eid\": \"e17627\", \"logical_representation\": [\"2021/09/01\", \"lunch\", \"pasta\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/09/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17628\", \"logical_representation\": [\"2021/09/01\", \"dinner\", \"pasta\", \"Nevaeh, Eva, Rylee, Olivia\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/09/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17629\", \"logical_representation\": [\"2021/09/01\", \"Rylee, Lydia, Kinsley\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Rylee, Lydia, Kinsley for 17 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Kinsley in the late afternoon on 2021/09/01?\", \"17 minutes\"], [\"who did I talk to on 2021/09/01?\", \"Rylee, Lydia, Kinsley\"], [\"Did I talk to Rylee, Lydia, Kinsley on 2021/09/01?\", \"yes\"], [\"Did I talk to anyone on 2021/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/04\": {\"exercise\": {\"eid\": \"e17639\", \"logical_representation\": [\"2021/09/04\", \"running\"], \"text_template_based\": \"I did running on 2021/09/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/04?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17640\", \"logical_representation\": [\"2021/09/04\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/09/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17641\", \"logical_representation\": [\"2021/09/04\", \"lunch\", \"tacos\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/09/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17642\", \"logical_representation\": [\"2021/09/04\", \"dinner\", \"steak\", \"Willow, Jackson\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/09/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17643\", \"logical_representation\": [\"2021/09/04\", \"Lydia, Olivia, Layla, Avery\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Lydia, Olivia, Layla, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Layla, Avery in the early afternoon on 2021/09/04?\", \"38 minutes\"], [\"who did I talk to on 2021/09/04?\", \"Lydia, Olivia, Layla, Avery\"], [\"Did I talk to Lydia, Olivia, Layla, Avery on 2021/09/04?\", \"yes\"], [\"Did I talk to anyone on 2021/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17644\", \"logical_representation\": [\"2021/09/04\", \"Rylee\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2021/09/04?\", \"15 minutes\"], [\"who did I talk to on 2021/09/04?\", \"Rylee\"], [\"Did I talk to Rylee on 2021/09/04?\", \"yes\"], [\"Did I talk to anyone on 2021/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17645\", \"logical_representation\": [\"2021/09/04\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/09/04?\", \"49 minutes\"], [\"what did I read on 2021/09/04?\", \"a book\"], [\"Did I read on 2021/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17646\", \"logical_representation\": [\"2021/09/04\", \"a movie\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/04?\", \"27 minutes\"], [\"what did I watch on tv on 2021/09/04?\", \"a movie\"], [\"Did I watch tv on 2021/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/05\": {\"exercise\": {\"eid\": \"e17647\", \"logical_representation\": [\"2021/09/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/09/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17648\", \"logical_representation\": [\"2021/09/05\", \"dinner\", \"sushi\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/09/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17649\", \"logical_representation\": [\"2021/09/05\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/09/05?\", \"54 minutes\"], [\"what did I read on 2021/09/05?\", \"news\"], [\"Did I read on 2021/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/07\": {\"exercise\": {\"eid\": \"e17656\", \"logical_representation\": [\"2021/09/07\", \"biking\"], \"text_template_based\": \"I did biking on 2021/09/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/07?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17657\", \"logical_representation\": [\"2021/09/07\", \"lunch\", \"chinese food\", \"Piper, Layla, Claire, Lydia\"], \"text_template_based\": \"I had lunch with Piper, Layla, Claire, Lydia. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/09/07?\", \"Piper, Layla, Claire, Lydia\"], [\"what did I eat for lunch on 2021/09/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17658\", \"logical_representation\": [\"2021/09/07\", \"Avery, Claire, Piper, Nevaeh\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I talked to Avery, Claire, Piper, Nevaeh for 55 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire, Piper, Nevaeh in the late afternoon on 2021/09/07?\", \"55 minutes\"], [\"who did I talk to on 2021/09/07?\", \"Avery, Claire, Piper, Nevaeh\"], [\"Did I talk to Avery, Claire, Piper, Nevaeh on 2021/09/07?\", \"yes\"], [\"Did I talk to anyone on 2021/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17659\", \"logical_representation\": [\"2021/09/07\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/09/07?\", \"9 minutes\"], [\"what did I read on 2021/09/07?\", \"social media\"], [\"Did I read on 2021/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17660\", \"logical_representation\": [\"2021/09/07\", \"a documentary\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/07?\", \"29 minutes\"], [\"what did I watch on tv on 2021/09/07?\", \"a documentary\"], [\"Did I watch tv on 2021/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/08\": {\"breakfast\": {\"eid\": \"e17661\", \"logical_representation\": [\"2021/09/08\", \"breakfast\", \"toast and cheese\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/09/08?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for breakfast on 2021/09/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17662\", \"logical_representation\": [\"2021/09/08\", \"lunch\", \"tacos\", \"Olivia\"], \"text_template_based\": \"I had lunch with Olivia. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/09/08?\", \"Olivia\"], [\"what did I eat for lunch on 2021/09/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17663\", \"logical_representation\": [\"2021/09/08\", \"Layla, Olivia, Lydia, Avery\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Layla, Olivia, Lydia, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia, Lydia, Avery in the early afternoon on 2021/09/08?\", \"32 minutes\"], [\"who did I talk to on 2021/09/08?\", \"Layla, Olivia, Lydia, Avery\"], [\"Did I talk to Layla, Olivia, Lydia, Avery on 2021/09/08?\", \"yes\"], [\"Did I talk to anyone on 2021/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17664\", \"logical_representation\": [\"2021/09/08\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/09/08?\", \"37 minutes\"], [\"what did I read on 2021/09/08?\", \"news\"], [\"Did I read on 2021/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/10\": {\"lunch\": {\"eid\": \"e17670\", \"logical_representation\": [\"2021/09/10\", \"lunch\", \"a burger\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/09/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17671\", \"logical_representation\": [\"2021/09/10\", \"Claire, Nora, Olivia\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Claire, Nora, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Olivia in the early afternoon on 2021/09/10?\", \"40 minutes\"], [\"who did I talk to on 2021/09/10?\", \"Claire, Nora, Olivia\"], [\"Did I talk to Claire, Nora, Olivia on 2021/09/10?\", \"yes\"], [\"Did I talk to anyone on 2021/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17672\", \"logical_representation\": [\"2021/09/10\", \"Rylee, Hazel, Piper, Kinsley\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I talked to Rylee, Hazel, Piper, Kinsley for 41 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel, Piper, Kinsley during lunch hours on 2021/09/10?\", \"41 minutes\"], [\"who did I talk to on 2021/09/10?\", \"Rylee, Hazel, Piper, Kinsley\"], [\"Did I talk to Rylee, Hazel, Piper, Kinsley on 2021/09/10?\", \"yes\"], [\"Did I talk to anyone on 2021/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/11\": {\"exercise\": {\"eid\": \"e17673\", \"logical_representation\": [\"2021/09/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/09/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17674\", \"logical_representation\": [\"2021/09/11\", \"dinner\", \"pasta\", \"Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/09/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17675\", \"logical_representation\": [\"2021/09/11\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/09/11?\", \"37 minutes\"], [\"what did I read on 2021/09/11?\", \"social media\"], [\"Did I read on 2021/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/12\": {\"breakfast\": {\"eid\": \"e17676\", \"logical_representation\": [\"2021/09/12\", \"breakfast\", \"toast and cheese\", \"Olivia, Piper, Rylee, Piper, Eva, Lydia, Kinsley\"], \"text_template_based\": \"I had breakfast with Olivia, Piper, Rylee, Piper, Eva, Lydia, Kinsley. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/09/12?\", \"Olivia, Piper, Rylee, Piper, Eva, Lydia, Kinsley\"], [\"what did I eat for breakfast on 2021/09/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17677\", \"logical_representation\": [\"2021/09/12\", \"Avery, Piper, Rylee\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Rylee for 7 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Rylee during lunch hours on 2021/09/12?\", \"7 minutes\"], [\"who did I talk to on 2021/09/12?\", \"Avery, Piper, Rylee\"], [\"Did I talk to Avery, Piper, Rylee on 2021/09/12?\", \"yes\"], [\"Did I talk to anyone on 2021/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17678\", \"logical_representation\": [\"2021/09/12\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/09/12?\", \"10 minutes\"], [\"what did I read on 2021/09/12?\", \"news\"], [\"Did I read on 2021/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/13\": {\"dinner\": {\"eid\": \"e17679\", \"logical_representation\": [\"2021/09/13\", \"dinner\", \"pasta\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/09/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17680\", \"logical_representation\": [\"2021/09/13\", \"Layla, Avery, Claire\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Layla, Avery, Claire for 32 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Claire in the late afternoon on 2021/09/13?\", \"32 minutes\"], [\"who did I talk to on 2021/09/13?\", \"Layla, Avery, Claire\"], [\"Did I talk to Layla, Avery, Claire on 2021/09/13?\", \"yes\"], [\"Did I talk to anyone on 2021/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17681\", \"logical_representation\": [\"2021/09/13\", \"Kinsley\", \"during lunch hours\", \"45 minutes\"], \"text_template_based\": \"I talked to Kinsley for 45 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2021/09/13?\", \"45 minutes\"], [\"who did I talk to on 2021/09/13?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2021/09/13?\", \"yes\"], [\"Did I talk to anyone on 2021/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17682\", \"logical_representation\": [\"2021/09/13\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/09/13?\", \"42 minutes\"], [\"what did I read on 2021/09/13?\", \"social media\"], [\"Did I read on 2021/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/14\": {\"breakfast\": {\"eid\": \"e17683\", \"logical_representation\": [\"2021/09/14\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/09/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17684\", \"logical_representation\": [\"2021/09/14\", \"lunch\", \"indian food\", \"Kinsley, Hazel, Layla\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/09/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17685\", \"logical_representation\": [\"2021/09/14\", \"dinner\", \"sushi\", \"Benjamin, Avery\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/09/14\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2021/09/15\": {\"exercise\": {\"eid\": \"e17686\", \"logical_representation\": [\"2021/09/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17687\", \"logical_representation\": [\"2021/09/15\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/09/15?\", \"Emily\"], [\"what did I eat for lunch on 2021/09/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17688\", \"logical_representation\": [\"2021/09/15\", \"Kinsley\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the morning on 2021/09/15?\", \"6 minutes\"], [\"who did I talk to on 2021/09/15?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2021/09/15?\", \"yes\"], [\"Did I talk to anyone on 2021/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17689\", \"logical_representation\": [\"2021/09/15\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/09/15?\", \"10 minutes\"], [\"what did I read on 2021/09/15?\", \"social media\"], [\"Did I read on 2021/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17690\", \"logical_representation\": [\"2021/09/15\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I watched a tv series for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/15?\", \"5 minutes\"], [\"what did I watch on tv on 2021/09/15?\", \"a tv series\"], [\"Did I watch tv on 2021/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/16\": {\"lunch\": {\"eid\": \"e17691\", \"logical_representation\": [\"2021/09/16\", \"lunch\", \"sandwich\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had lunch with Avery, Jackson, Benjamin. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/09/16?\", \"Avery, Jackson, Benjamin\"], [\"what did I eat for lunch on 2021/09/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17692\", \"logical_representation\": [\"2021/09/16\", \"Eva\", \"in the early afternoon\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2021/09/16?\", \"35 minutes\"], [\"who did I talk to on 2021/09/16?\", \"Eva\"], [\"Did I talk to Eva on 2021/09/16?\", \"yes\"], [\"Did I talk to anyone on 2021/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17693\", \"logical_representation\": [\"2021/09/16\", \"Piper, Nevaeh, Layla, Claire\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Layla, Claire for 17 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Layla, Claire in the early afternoon on 2021/09/16?\", \"17 minutes\"], [\"who did I talk to on 2021/09/16?\", \"Piper, Nevaeh, Layla, Claire\"], [\"Did I talk to Piper, Nevaeh, Layla, Claire on 2021/09/16?\", \"yes\"], [\"Did I talk to anyone on 2021/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/17\": {\"exercise\": {\"eid\": \"e17694\", \"logical_representation\": [\"2021/09/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/09/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17695\", \"logical_representation\": [\"2021/09/17\", \"breakfast\", \"toast and cheese\", \"Piper, Layla, Rylee, Eva, Hazel, Avery, Nora, Claire, Lydia\"], \"text_template_based\": \"I ate toast and cheese for 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[\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/17?\", \"48 minutes\"], [\"what did I watch on tv on 2021/09/17?\", \"a movie\"], [\"Did I watch tv on 2021/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/18\": {\"exercise\": {\"eid\": \"e17698\", \"logical_representation\": [\"2021/09/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/09/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17699\", \"logical_representation\": [\"2021/09/18\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/09/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17700\", \"logical_representation\": [\"2021/09/18\", \"Avery, Kinsley, Eva\", \"in the 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\"logical_representation\": [\"2021/09/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/09/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17709\", \"logical_representation\": [\"2021/09/20\", \"lunch\", \"sandwich\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/09/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17710\", \"logical_representation\": [\"2021/09/20\", \"Piper, Hazel, Kinsley, Claire\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Piper, Hazel, Kinsley, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Kinsley, Claire in the morning on 2021/09/20?\", \"40 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[\"what did I watch on tv on 2021/09/20?\", \"news\"], [\"Did I watch tv on 2021/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/22\": {\"lunch\": {\"eid\": \"e17717\", \"logical_representation\": [\"2021/09/22\", \"lunch\", \"sushi\", \"Andrew, Carter\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/09/22\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17718\", \"logical_representation\": [\"2021/09/22\", \"a book\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/09/22?\", \"40 minutes\"], [\"what did I read on 2021/09/22?\", \"a book\"], [\"Did I read on 2021/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17719\", \"logical_representation\": [\"2021/09/22\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I watched a documentary for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/22?\", \"53 minutes\"], [\"what did I watch on tv on 2021/09/22?\", \"a documentary\"], [\"Did I watch tv on 2021/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/23\": {\"exercise\": {\"eid\": \"e17720\", \"logical_representation\": [\"2021/09/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/09/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17721\", \"logical_representation\": [\"2021/09/23\", \"lunch\", \"sushi\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Andrew, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/09/23?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2021/09/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17722\", \"logical_representation\": [\"2021/09/23\", \"dinner\", \"sushi\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/09/23?\", \"Emily, Kayden, Carter\"], [\"what did I eat for dinner on 2021/09/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17723\", \"logical_representation\": [\"2021/09/23\", \"Piper, Hazel\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Piper, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel in the early afternoon on 2021/09/23?\", \"36 minutes\"], [\"who did I talk to on 2021/09/23?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2021/09/23?\", \"yes\"], [\"Did I talk to anyone on 2021/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17724\", \"logical_representation\": [\"2021/09/23\", \"Nora\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I spent 49 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\"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17727\", \"logical_representation\": [\"2021/09/24\", \"lunch\", \"sushi\", \"Emily, Kayden\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/09/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17728\", \"logical_representation\": [\"2021/09/24\", \"dinner\", \"sandwich\", \"Piper, Nevaeh, Kinsley, Rylee, Nora, Olivia, Hazel, Piper, Layla, Claire\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/09/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2021/09/27\": {\"exercise\": {\"eid\": \"e17738\", \"logical_representation\": [\"2021/09/27\", \"running\"], \"text_template_based\": \"I did running on 2021/09/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17739\", \"logical_representation\": [\"2021/09/27\", \"lunch\", \"chinese food\", \"Kayden, Carter\"], \"text_template_based\": \"I had chinese food for lunch with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/09/27?\", \"Kayden, Carter\"], [\"what did I eat for lunch on 2021/09/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17740\", \"logical_representation\": [\"2021/09/27\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/09/27?\", \"55 minutes\"], [\"what did I read on 2021/09/27?\", \"social media\"], [\"Did I read on 2021/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17741\", \"logical_representation\": [\"2021/09/27\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/27?\", \"54 minutes\"], [\"what did I watch on tv on 2021/09/27?\", \"a documentary\"], [\"Did I watch tv on 2021/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/28\": {\"exercise\": {\"eid\": \"e17742\", \"logical_representation\": [\"2021/09/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/09/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17743\", \"logical_representation\": [\"2021/09/28\", \"lunch\", \"a burger\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had a burger for lunch with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/09/28?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2021/09/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17744\", \"logical_representation\": [\"2021/09/28\", \"Nora, Lydia, Olivia, Avery\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Nora, Lydia, Olivia, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Olivia, Avery in the late afternoon on 2021/09/28?\", \"6 minutes\"], [\"who did I talk to on 2021/09/28?\", \"Nora, Lydia, Olivia, Avery\"], [\"Did I talk to Nora, Lydia, Olivia, Avery on 2021/09/28?\", \"yes\"], [\"Did I talk to anyone on 2021/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17745\", \"logical_representation\": [\"2021/09/28\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/09/28?\", \"11 minutes\"], [\"what did I read on 2021/09/28?\", \"news\"], [\"Did I read on 2021/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/29\": {\"breakfast\": {\"eid\": \"e17746\", \"logical_representation\": [\"2021/09/29\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/09/29\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17747\", \"logical_representation\": [\"2021/09/29\", \"lunch\", \"steak\", \"Kinsley, Layla, Nora, Olivia, Hazel, Claire, Avery, Nevaeh, Rylee, Piper\"], \"text_template_based\": \"I had steak for lunch with Kinsley, Layla, Nora, Olivia, Hazel, Claire, Avery, Nevaeh, Rylee, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/09/29?\", \"Kinsley, Layla, Nora, Olivia, Hazel, Claire, Avery, Nevaeh, Rylee, Piper\"], [\"what did I eat for lunch on 2021/09/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17748\", \"logical_representation\": [\"2021/09/29\", \"Olivia\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Olivia for 39 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the late afternoon on 2021/09/29?\", \"39 minutes\"], [\"who did I talk to on 2021/09/29?\", \"Olivia\"], [\"Did I talk to Olivia on 2021/09/29?\", \"yes\"], [\"Did I talk to anyone on 2021/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/30\": {\"exercise\": {\"eid\": \"e17749\", \"logical_representation\": [\"2021/09/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/09/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17750\", \"logical_representation\": [\"2021/09/30\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/09/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17751\", \"logical_representation\": [\"2021/09/30\", \"lunch\", \"a burger\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/09/30\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2021/10/01\": {\"breakfast\": {\"eid\": \"e17752\", \"logical_representation\": [\"2021/10/01\", \"breakfast\", \"toast and cheese\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17753\", \"logical_representation\": [\"2021/10/01\", \"dinner\", \"sushi\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I had sushi for dinner with Benjamin, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/10/01?\", \"Benjamin, Willow, Avery\"], [\"what did I eat for dinner on 2021/10/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17754\", \"logical_representation\": [\"2021/10/01\", \"Avery\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery during lunch hours on 2021/10/01?\", \"46 minutes\"], [\"who did I talk to on 2021/10/01?\", \"Avery\"], [\"Did I talk to Avery on 2021/10/01?\", \"yes\"], [\"Did I talk to anyone on 2021/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17755\", \"logical_representation\": [\"2021/10/01\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/10/01?\", \"34 minutes\"], [\"what did I read on 2021/10/01?\", \"news\"], [\"Did I read on 2021/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/03\": {\"exercise\": {\"eid\": \"e17759\", \"logical_representation\": [\"2021/10/03\", \"biking\"], \"text_template_based\": \"I did biking on 2021/10/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17760\", \"logical_representation\": [\"2021/10/03\", \"breakfast\", \"pancakes\", \"Nora, Kinsley, Nevaeh, Avery, Rylee, Piper, Claire, Lydia\"], \"text_template_based\": \"I had breakfast with Nora, Kinsley, Nevaeh, Avery, Rylee, Piper, Claire, Lydia. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/10/03?\", \"Nora, Kinsley, Nevaeh, Avery, Rylee, Piper, Claire, Lydia\"], [\"what did I eat for breakfast on 2021/10/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17761\", \"logical_representation\": [\"2021/10/03\", \"Piper, Nevaeh, Eva, Avery\", \"in the early evening\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Piper, Nevaeh, Eva, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Eva, Avery in the early evening on 2021/10/03?\", \"54 minutes\"], [\"who did I talk to on 2021/10/03?\", \"Piper, Nevaeh, Eva, Avery\"], [\"Did I talk to Piper, Nevaeh, Eva, Avery on 2021/10/03?\", \"yes\"], [\"Did I talk to anyone on 2021/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17762\", \"logical_representation\": [\"2021/10/03\", \"news\", \"40 minutes\"], \"text_template_based\": \"I watched news for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/03?\", \"40 minutes\"], [\"what did I watch on tv on 2021/10/03?\", \"news\"], [\"Did I watch tv on 2021/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/05\": {\"dinner\": {\"eid\": \"e17768\", \"logical_representation\": [\"2021/10/05\", \"dinner\", \"sushi\", \"Benjamin\"], \"text_template_based\": \"I had sushi for dinner with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/10/05?\", \"Benjamin\"], [\"what did I eat for dinner on 2021/10/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17769\", \"logical_representation\": [\"2021/10/05\", \"Piper, Piper\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Piper, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper in the morning on 2021/10/05?\", \"46 minutes\"], [\"who did I talk to on 2021/10/05?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2021/10/05?\", \"yes\"], [\"Did I talk to anyone on 2021/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/06\": {\"exercise\": {\"eid\": \"e17770\", \"logical_representation\": [\"2021/10/06\", \"running\"], \"text_template_based\": \"I did running on 2021/10/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/06?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17771\", \"logical_representation\": [\"2021/10/06\", \"lunch\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/10/06?\", \"Kayden\"], [\"what did I eat for lunch on 2021/10/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17772\", \"logical_representation\": [\"2021/10/06\", \"Piper, Olivia, Eva, Piper\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia, Eva, Piper for 9 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Eva, Piper in the early evening on 2021/10/06?\", \"9 minutes\"], [\"who did I talk to on 2021/10/06?\", \"Piper, Olivia, Eva, Piper\"], [\"Did I talk to Piper, Olivia, Eva, Piper on 2021/10/06?\", \"yes\"], [\"Did I talk to anyone on 2021/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17773\", \"logical_representation\": [\"2021/10/06\", \"Eva\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Eva for 52 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early evening on 2021/10/06?\", \"52 minutes\"], [\"who did I talk to on 2021/10/06?\", \"Eva\"], [\"Did I talk to Eva on 2021/10/06?\", \"yes\"], [\"Did I talk to anyone on 2021/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17774\", \"logical_representation\": [\"2021/10/06\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/10/06?\", \"8 minutes\"], [\"what did I read on 2021/10/06?\", \"news\"], [\"Did I read on 2021/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17775\", \"logical_representation\": [\"2021/10/06\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I watched a movie for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/06?\", \"21 minutes\"], [\"what did I watch on tv on 2021/10/06?\", \"a movie\"], [\"Did I watch tv on 2021/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/08\": {\"exercise\": {\"eid\": \"e17780\", \"logical_representation\": [\"2021/10/08\", \"biking\"], \"text_template_based\": \"I did biking on 2021/10/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/08?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17781\", \"logical_representation\": [\"2021/10/08\", \"a movie\", \"9 minutes\"], \"text_template_based\": \"I watched a movie for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/08?\", \"9 minutes\"], [\"what did I watch on tv on 2021/10/08?\", \"a movie\"], [\"Did I watch tv on 2021/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/09\": {\"exercise\": {\"eid\": \"e17782\", \"logical_representation\": [\"2021/10/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/10/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17783\", \"logical_representation\": [\"2021/10/09\", \"dinner\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/10/09?\", \"Andrew\"], [\"what did I eat for dinner on 2021/10/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17784\", \"logical_representation\": [\"2021/10/09\", \"Claire, Kinsley, Piper\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Claire, Kinsley, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Piper in the early evening on 2021/10/09?\", \"7 minutes\"], [\"who did I talk to on 2021/10/09?\", \"Claire, Kinsley, Piper\"], [\"Did I talk to Claire, Kinsley, Piper on 2021/10/09?\", \"yes\"], [\"Did I talk to anyone on 2021/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17785\", \"logical_representation\": [\"2021/10/09\", \"a documentary\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/09?\", \"29 minutes\"], [\"what did I watch on tv on 2021/10/09?\", \"a documentary\"], [\"Did I watch tv on 2021/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/11\": {\"exercise\": {\"eid\": \"e17791\", \"logical_representation\": [\"2021/10/11\", \"biking\"], \"text_template_based\": \"I did biking on 2021/10/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17792\", \"logical_representation\": [\"2021/10/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17793\", \"logical_representation\": [\"2021/10/11\", \"lunch\", \"sushi\", \"Willow, Jackson\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/10/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17794\", \"logical_representation\": [\"2021/10/11\", \"a movie\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/11?\", \"20 minutes\"], [\"what did I watch on tv on 2021/10/11?\", \"a movie\"], [\"Did I watch tv on 2021/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/13\": {\"breakfast\": {\"eid\": \"e17799\", \"logical_representation\": [\"2021/10/13\", \"breakfast\", \"pancakes\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17800\", \"logical_representation\": [\"2021/10/13\", \"dinner\", \"fish and chips\", \"Benjamin, Avery\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17801\", \"logical_representation\": [\"2021/10/13\", \"Avery\", \"in the morning\", \"10 minutes\"], \"text_template_based\": \"I talked to Avery for 10 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2021/10/13?\", \"10 minutes\"], [\"who did I talk to on 2021/10/13?\", \"Avery\"], [\"Did I talk to Avery on 2021/10/13?\", \"yes\"], [\"Did I talk to anyone on 2021/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17802\", \"logical_representation\": [\"2021/10/13\", \"a tv series\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/13?\", \"36 minutes\"], [\"what did I watch on tv on 2021/10/13?\", \"a tv series\"], [\"Did I watch tv on 2021/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/14\": {\"exercise\": {\"eid\": \"e17803\", \"logical_representation\": [\"2021/10/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/10/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17804\", \"logical_representation\": [\"2021/10/14\", \"Hazel\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2021/10/14?\", \"14 minutes\"], [\"who did I talk to on 2021/10/14?\", \"Hazel\"], [\"Did I talk to Hazel on 2021/10/14?\", \"yes\"], [\"Did I talk to anyone on 2021/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17805\", \"logical_representation\": [\"2021/10/14\", \"Avery, Piper\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Avery, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the early evening on 2021/10/14?\", \"48 minutes\"], [\"who did I talk to on 2021/10/14?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2021/10/14?\", \"yes\"], [\"Did I talk to anyone on 2021/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17806\", \"logical_representation\": [\"2021/10/14\", \"a book\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/10/14?\", \"40 minutes\"], [\"what did I read on 2021/10/14?\", \"a book\"], [\"Did I read on 2021/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/15\": {\"exercise\": {\"eid\": \"e17807\", \"logical_representation\": [\"2021/10/15\", \"biking\"], \"text_template_based\": \"I did biking on 2021/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17808\", \"logical_representation\": [\"2021/10/15\", \"breakfast\", \"oatmeal\", \"Avery, Willow\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17809\", \"logical_representation\": [\"2021/10/15\", \"lunch\", \"sandwich\", \"Benjamin, Willow\"], \"text_template_based\": \"I had sandwich for lunch with Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/10/15?\", \"Benjamin, Willow\"], [\"what did I eat for lunch on 2021/10/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17810\", \"logical_representation\": [\"2021/10/15\", \"dinner\", \"chinese food\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17811\", \"logical_representation\": [\"2021/10/15\", \"Piper\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2021/10/15?\", \"46 minutes\"], [\"who did I talk to on 2021/10/15?\", \"Piper\"], [\"Did I talk to Piper on 2021/10/15?\", \"yes\"], [\"Did I talk to anyone on 2021/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17812\", \"logical_representation\": [\"2021/10/15\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/10/15?\", \"26 minutes\"], [\"what did I read on 2021/10/15?\", \"news\"], [\"Did I read on 2021/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17813\", \"logical_representation\": [\"2021/10/15\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I watched a tv series for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/15?\", \"12 minutes\"], [\"what did I watch on tv on 2021/10/15?\", \"a tv series\"], [\"Did I watch tv on 2021/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/16\": {\"exercise\": {\"eid\": \"e17814\", \"logical_representation\": [\"2021/10/16\", \"biking\"], \"text_template_based\": \"I did biking on 2021/10/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17815\", \"logical_representation\": [\"2021/10/16\", \"Kinsley, Nevaeh\", \"late in the evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Kinsley, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh late in the evening on 2021/10/16?\", \"35 minutes\"], [\"who did I talk to on 2021/10/16?\", \"Kinsley, Nevaeh\"], [\"Did I talk to Kinsley, Nevaeh on 2021/10/16?\", \"yes\"], [\"Did I talk to anyone on 2021/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17816\", \"logical_representation\": [\"2021/10/16\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/16?\", \"32 minutes\"], [\"what did I watch on tv on 2021/10/16?\", \"news\"], [\"Did I watch tv on 2021/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/17\": {\"breakfast\": {\"eid\": \"e17817\", \"logical_representation\": [\"2021/10/17\", \"breakfast\", \"cereals\", \"Hazel, Avery, Lydia, Kinsley, Piper, Nora, Rylee, Olivia\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/17\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17818\", \"logical_representation\": [\"2021/10/17\", \"Nora, Avery, Piper, Claire\", \"late in the evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Nora, Avery, Piper, Claire for 19 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery, Piper, Claire late in the evening on 2021/10/17?\", \"19 minutes\"], [\"who did I talk to on 2021/10/17?\", \"Nora, Avery, Piper, Claire\"], [\"Did I talk to Nora, Avery, Piper, Claire on 2021/10/17?\", \"yes\"], [\"Did I talk to anyone on 2021/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17819\", \"logical_representation\": [\"2021/10/17\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I watched a documentary for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/17?\", \"30 minutes\"], [\"what did I watch on tv on 2021/10/17?\", \"a documentary\"], [\"Did I watch tv on 2021/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/20\": {\"exercise\": {\"eid\": \"e17827\", \"logical_representation\": [\"2021/10/20\", \"running\"], \"text_template_based\": \"I did running on 2021/10/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/20?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17828\", \"logical_representation\": [\"2021/10/20\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/20\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17829\", \"logical_representation\": [\"2021/10/20\", \"lunch\", \"sandwich\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/10/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17830\", \"logical_representation\": [\"2021/10/20\", \"dinner\", \"steak\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/20\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17831\", \"logical_representation\": [\"2021/10/20\", \"Hazel, Claire, Olivia, Kinsley\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Hazel, Claire, Olivia, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Olivia, Kinsley in the morning on 2021/10/20?\", \"38 minutes\"], [\"who did I talk to on 2021/10/20?\", \"Hazel, Claire, Olivia, Kinsley\"], [\"Did I talk to Hazel, Claire, Olivia, Kinsley on 2021/10/20?\", \"yes\"], [\"Did I talk to anyone on 2021/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17832\", \"logical_representation\": [\"2021/10/20\", \"Layla\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2021/10/20?\", \"51 minutes\"], [\"who did I talk to on 2021/10/20?\", \"Layla\"], [\"Did I talk to Layla on 2021/10/20?\", \"yes\"], [\"Did I talk to anyone on 2021/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17833\", \"logical_representation\": [\"2021/10/20\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/10/20?\", \"53 minutes\"], [\"what did I read on 2021/10/20?\", \"social media\"], [\"Did I read on 2021/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17834\", \"logical_representation\": [\"2021/10/20\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/20?\", \"18 minutes\"], [\"what did I watch on tv on 2021/10/20?\", \"news\"], [\"Did I watch tv on 2021/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/23\": {\"breakfast\": {\"eid\": \"e17844\", \"logical_representation\": [\"2021/10/23\", \"breakfast\", \"toast and cheese\", \"Willow, Avery\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17845\", \"logical_representation\": [\"2021/10/23\", \"Avery\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Avery for 17 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2021/10/23?\", \"17 minutes\"], [\"who did I talk to on 2021/10/23?\", \"Avery\"], [\"Did I talk to Avery on 2021/10/23?\", \"yes\"], [\"Did I talk to anyone on 2021/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/24\": {\"exercise\": {\"eid\": \"e17846\", \"logical_representation\": [\"2021/10/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/10/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17847\", \"logical_representation\": [\"2021/10/24\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/10/24?\", \"Emily\"], [\"what did I eat for breakfast on 2021/10/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17848\", \"logical_representation\": [\"2021/10/24\", \"dinner\", \"sandwich\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17849\", \"logical_representation\": [\"2021/10/24\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/10/24?\", \"25 minutes\"], [\"what did I read on 2021/10/24?\", \"social media\"], [\"Did I read on 2021/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17850\", \"logical_representation\": [\"2021/10/24\", \"a tv series\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/24?\", \"15 minutes\"], [\"what did I watch on tv on 2021/10/24?\", \"a tv series\"], [\"Did I watch tv on 2021/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/26\": {\"exercise\": {\"eid\": \"e17855\", \"logical_representation\": [\"2021/10/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/10/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17856\", \"logical_representation\": [\"2021/10/26\", \"breakfast\", \"pancakes\", \"Lydia, Avery, Rylee, Nora, Eva\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/26\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17857\", \"logical_representation\": [\"2021/10/26\", \"dinner\", \"steak\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had steak for dinner with Avery, Willow, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/10/26?\", \"Avery, Willow, Jackson, Benjamin\"], [\"what did I eat for dinner on 2021/10/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17858\", \"logical_representation\": [\"2021/10/26\", \"Kinsley, Olivia\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Kinsley, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia during lunch hours on 2021/10/26?\", \"55 minutes\"], [\"who did I talk to on 2021/10/26?\", \"Kinsley, Olivia\"], [\"Did I talk to Kinsley, Olivia on 2021/10/26?\", \"yes\"], [\"Did I talk to anyone on 2021/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17859\", \"logical_representation\": [\"2021/10/26\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/26?\", \"47 minutes\"], [\"what did I watch on tv on 2021/10/26?\", \"a documentary\"], [\"Did I watch tv on 2021/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/27\": {\"exercise\": {\"eid\": \"e17860\", \"logical_representation\": [\"2021/10/27\", \"running\"], \"text_template_based\": \"I did running on 2021/10/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17861\", \"logical_representation\": [\"2021/10/27\", \"lunch\", \"fish and chips\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had lunch with Jackson, Benjamin, Avery. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/10/27?\", \"Jackson, Benjamin, Avery\"], [\"what did I eat for lunch on 2021/10/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17862\", \"logical_representation\": [\"2021/10/27\", \"dinner\", \"fish and chips\", \"Willow\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17863\", \"logical_representation\": [\"2021/10/27\", \"Kinsley, Nora\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora for 41 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora during lunch hours on 2021/10/27?\", \"41 minutes\"], [\"who did I talk to on 2021/10/27?\", \"Kinsley, Nora\"], [\"Did I talk to Kinsley, Nora on 2021/10/27?\", \"yes\"], [\"Did I talk to anyone on 2021/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/29\": {\"exercise\": {\"eid\": \"e17871\", \"logical_representation\": [\"2021/10/29\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/10/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/29?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17872\", \"logical_representation\": [\"2021/10/29\", \"dinner\", \"tacos\", \"Hazel, Lydia, Olivia, Avery, Piper, Nevaeh, Rylee, Claire, Kinsley, Layla\"], \"text_template_based\": \"I had dinner with Hazel, Lydia, Olivia, Avery, Piper, Nevaeh, Rylee, Claire, Kinsley, Layla. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/10/29?\", \"Hazel, Lydia, Olivia, Avery, Piper, Nevaeh, Rylee, Claire, Kinsley, Layla\"], [\"what did I eat for dinner on 2021/10/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17873\", \"logical_representation\": [\"2021/10/29\", \"Lydia, Claire\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Lydia, Claire for 10 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire in the early evening on 2021/10/29?\", \"10 minutes\"], [\"who did I talk to on 2021/10/29?\", \"Lydia, Claire\"], [\"Did I talk to Lydia, Claire on 2021/10/29?\", \"yes\"], [\"Did I talk to anyone on 2021/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17874\", \"logical_representation\": [\"2021/10/29\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/10/29?\", \"22 minutes\"], [\"what did I read on 2021/10/29?\", \"a book\"], [\"Did I read on 2021/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/30\": {\"exercise\": {\"eid\": \"e17875\", \"logical_representation\": [\"2021/10/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/10/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17876\", \"logical_representation\": [\"2021/10/30\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17877\", \"logical_representation\": [\"2021/10/30\", \"dinner\", \"pasta\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17878\", \"logical_representation\": [\"2021/10/30\", \"Piper\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Piper for 16 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2021/10/30?\", \"16 minutes\"], [\"who did I talk to on 2021/10/30?\", \"Piper\"], [\"Did I talk to Piper on 2021/10/30?\", \"yes\"], [\"Did I talk to anyone on 2021/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17879\", \"logical_representation\": [\"2021/10/30\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/30?\", \"32 minutes\"], [\"what did I watch on tv on 2021/10/30?\", \"a documentary\"], [\"Did I watch tv on 2021/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/01\": {\"exercise\": {\"eid\": \"e17884\", \"logical_representation\": [\"2021/11/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/11/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17885\", \"logical_representation\": [\"2021/11/01\", \"lunch\", \"pasta\", \"Lydia, Rylee, Claire\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/11/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17886\", \"logical_representation\": [\"2021/11/01\", \"Claire, Avery\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I talked to Claire, Avery for 7 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery in the morning on 2021/11/01?\", \"7 minutes\"], [\"who did I talk to on 2021/11/01?\", \"Claire, Avery\"], [\"Did I talk to Claire, Avery on 2021/11/01?\", \"yes\"], [\"Did I talk to anyone on 2021/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17887\", \"logical_representation\": [\"2021/11/01\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/11/01?\", \"25 minutes\"], [\"what did I read on 2021/11/01?\", \"social media\"], [\"Did I read on 2021/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17888\", \"logical_representation\": [\"2021/11/01\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/01?\", \"28 minutes\"], [\"what did I watch on tv on 2021/11/01?\", \"a movie\"], [\"Did I watch tv on 2021/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/03\": {\"breakfast\": {\"eid\": \"e17894\", \"logical_representation\": [\"2021/11/03\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/11/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17895\", \"logical_representation\": [\"2021/11/03\", \"Lydia, Piper\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper for 23 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper in the early afternoon on 2021/11/03?\", \"23 minutes\"], [\"who did I talk to on 2021/11/03?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2021/11/03?\", \"yes\"], [\"Did I talk to anyone on 2021/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17896\", \"logical_representation\": [\"2021/11/03\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/11/03?\", \"52 minutes\"], [\"what did I read on 2021/11/03?\", \"social media\"], [\"Did I read on 2021/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/05\": {\"exercise\": {\"eid\": \"e17902\", \"logical_representation\": [\"2021/11/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/11/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17903\", \"logical_representation\": [\"2021/11/05\", \"breakfast\", \"cereals\", \"Nora, Nevaeh, Hazel, Claire\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/11/05\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17904\", \"logical_representation\": [\"2021/11/05\", \"lunch\", \"sushi\", \"Carter\"], \"text_template_based\": \"I had sushi for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/11/05?\", \"Carter\"], [\"what did I eat for lunch on 2021/11/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17905\", \"logical_representation\": [\"2021/11/05\", \"Nora\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2021/11/05?\", \"16 minutes\"], [\"who did I talk to on 2021/11/05?\", \"Nora\"], [\"Did I talk to Nora on 2021/11/05?\", \"yes\"], [\"Did I talk to anyone on 2021/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17906\", \"logical_representation\": [\"2021/11/05\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/11/05?\", \"46 minutes\"], [\"what did I read on 2021/11/05?\", \"social media\"], [\"Did I read on 2021/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/07\": {\"exercise\": {\"eid\": \"e17909\", \"logical_representation\": [\"2021/11/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/11/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17910\", \"logical_representation\": [\"2021/11/07\", \"lunch\", \"fish and chips\", \"Olivia, Hazel, Piper, Rylee\"], \"text_template_based\": \"I had lunch with Olivia, Hazel, Piper, Rylee. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/11/07?\", \"Olivia, Hazel, Piper, Rylee\"], [\"what did I eat for lunch on 2021/11/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17911\", \"logical_representation\": [\"2021/11/07\", \"Kinsley, Piper\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper for 16 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the early evening on 2021/11/07?\", \"16 minutes\"], [\"who did I talk to on 2021/11/07?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2021/11/07?\", \"yes\"], [\"Did I talk to anyone on 2021/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17912\", \"logical_representation\": [\"2021/11/07\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/07?\", \"19 minutes\"], [\"what did I watch on tv on 2021/11/07?\", \"news\"], [\"Did I watch tv on 2021/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/08\": {\"exercise\": {\"eid\": \"e17913\", \"logical_representation\": [\"2021/11/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/11/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17914\", \"logical_representation\": [\"2021/11/08\", \"lunch\", \"sandwich\", \"Olivia, Claire, Piper, Hazel, Piper, Lydia, Avery, Nevaeh, Nora, Kinsley, Layla, Eva\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/11/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17915\", \"logical_representation\": [\"2021/11/08\", \"dinner\", \"pasta\", \"Andrew, Emily\"], \"text_template_based\": \"I had pasta for dinner with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/11/08?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2021/11/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17916\", \"logical_representation\": [\"2021/11/08\", \"Nevaeh\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 46 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the late afternoon on 2021/11/08?\", \"46 minutes\"], [\"who did I talk to on 2021/11/08?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2021/11/08?\", \"yes\"], [\"Did I talk to anyone on 2021/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e17917\", \"logical_representation\": [\"2021/11/08\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/11/08?\", \"50 minutes\"], [\"what did I read on 2021/11/08?\", \"social media\"], [\"Did I read on 2021/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17918\", \"logical_representation\": [\"2021/11/08\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I watched a movie for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/08?\", \"48 minutes\"], [\"what did I watch on tv on 2021/11/08?\", \"a movie\"], [\"Did I watch tv on 2021/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/11\": {\"exercise\": {\"eid\": \"e17926\", \"logical_representation\": [\"2021/11/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/11/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17927\", \"logical_representation\": [\"2021/11/11\", \"lunch\", \"steak\", \"Avery, Benjamin\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/11/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17928\", \"logical_representation\": [\"2021/11/11\", \"dinner\", \"sandwich\", \"Avery, Eva, Piper, Piper\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/11/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17929\", \"logical_representation\": [\"2021/11/11\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I watched a documentary for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/11?\", \"33 minutes\"], [\"what did I watch on tv on 2021/11/11?\", \"a documentary\"], [\"Did I watch tv on 2021/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/12\": {\"exercise\": {\"eid\": \"e17930\", \"logical_representation\": [\"2021/11/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/11/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17931\", \"logical_representation\": [\"2021/11/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Olivia, Claire, Lydia, Nevaeh, Eva, Avery, Nora, Piper, Hazel, Layla, Rylee, Kinsley\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Piper, Olivia, Claire, Lydia, Nevaeh, Eva, Avery, Nora, Piper, Hazel, Layla, Rylee, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/11/12?\", \"Piper, Olivia, Claire, Lydia, Nevaeh, Eva, Avery, Nora, Piper, Hazel, Layla, Rylee, Kinsley\"], [\"what did I eat for breakfast on 2021/11/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17932\", \"logical_representation\": [\"2021/11/12\", \"Piper\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2021/11/12?\", \"50 minutes\"], [\"who did I talk to on 2021/11/12?\", \"Piper\"], [\"Did I talk to Piper on 2021/11/12?\", \"yes\"], [\"Did I talk to anyone on 2021/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17933\", \"logical_representation\": [\"2021/11/12\", \"Piper, Nora\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Piper, Nora for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora in the morning on 2021/11/12?\", \"32 minutes\"], [\"who did I talk to on 2021/11/12?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2021/11/12?\", \"yes\"], [\"Did I talk to anyone on 2021/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17934\", \"logical_representation\": [\"2021/11/12\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/11/12?\", \"46 minutes\"], [\"what did I read on 2021/11/12?\", \"a book\"], [\"Did I read on 2021/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/13\": {\"exercise\": {\"eid\": \"e17935\", \"logical_representation\": [\"2021/11/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/11/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17936\", \"logical_representation\": [\"2021/11/13\", \"Piper, Olivia\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Piper, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the early evening on 2021/11/13?\", \"26 minutes\"], [\"who did I talk to on 2021/11/13?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2021/11/13?\", \"yes\"], [\"Did I talk to anyone on 2021/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17937\", \"logical_representation\": [\"2021/11/13\", \"Lydia, Avery, Rylee, Eva\", \"in the late 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[\"2021/11/13\", \"a documentary\", \"15 minutes\"], \"text_template_based\": \"I watched a documentary for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/13?\", \"15 minutes\"], [\"what did I watch on tv on 2021/11/13?\", \"a documentary\"], [\"Did I watch tv on 2021/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/14\": {\"breakfast\": {\"eid\": \"e17940\", \"logical_representation\": [\"2021/11/14\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/11/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17941\", \"logical_representation\": [\"2021/11/14\", \"Avery, Claire, Layla, Nora\", \"late in the evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Avery, Claire, Layla, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire, Layla, Nora late in the evening on 2021/11/14?\", \"35 minutes\"], [\"who did I talk to on 2021/11/14?\", \"Avery, Claire, Layla, Nora\"], [\"Did I talk to Avery, Claire, Layla, Nora on 2021/11/14?\", \"yes\"], [\"Did I talk to anyone on 2021/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17942\", \"logical_representation\": [\"2021/11/14\", \"Piper\", \"late in the evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper for 27 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2021/11/14?\", \"27 minutes\"], [\"who did I talk to on 2021/11/14?\", \"Piper\"], [\"Did I talk to Piper on 2021/11/14?\", \"yes\"], [\"Did I talk to anyone on 2021/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17943\", \"logical_representation\": [\"2021/11/14\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/11/14?\", \"16 minutes\"], [\"what did I read on 2021/11/14?\", \"a book\"], [\"Did I read on 2021/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17944\", \"logical_representation\": [\"2021/11/14\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/14?\", \"46 minutes\"], [\"what did I watch on tv on 2021/11/14?\", \"news\"], [\"Did I watch tv on 2021/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/16\": {\"exercise\": {\"eid\": \"e17948\", \"logical_representation\": [\"2021/11/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/11/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17949\", \"logical_representation\": [\"2021/11/16\", \"dinner\", \"indian food\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/11/16\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2021/11/17\": {\"chat0\": {\"eid\": \"e17950\", \"logical_representation\": [\"2021/11/17\", \"Nora, Layla, Hazel, Piper\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I talked to Nora, Layla, Hazel, Piper for 46 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Hazel, Piper in the late afternoon on 2021/11/17?\", \"46 minutes\"], [\"who did I talk to on 2021/11/17?\", \"Nora, Layla, Hazel, Piper\"], [\"Did I talk to Nora, Layla, Hazel, Piper on 2021/11/17?\", \"yes\"], [\"Did I talk to anyone on 2021/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17951\", \"logical_representation\": [\"2021/11/17\", \"Rylee, Lydia, Layla, Hazel\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Rylee, Lydia, Layla, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Layla, Hazel in the early evening on 2021/11/17?\", \"49 minutes\"], [\"who did I talk to on 2021/11/17?\", \"Rylee, Lydia, Layla, Hazel\"], [\"Did I talk to Rylee, Lydia, Layla, Hazel on 2021/11/17?\", \"yes\"], [\"Did I talk to anyone on 2021/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17952\", \"logical_representation\": [\"2021/11/17\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/17?\", \"43 minutes\"], [\"what did I watch on tv on 2021/11/17?\", \"a documentary\"], [\"Did I watch tv on 2021/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/18\": {\"dinner\": {\"eid\": \"e17953\", \"logical_representation\": [\"2021/11/18\", \"dinner\", \"pasta\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had pasta for dinner with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/11/18?\", \"Emily, Carter, Andrew\"], [\"what did I eat for dinner on 2021/11/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17954\", \"logical_representation\": [\"2021/11/18\", \"Nevaeh, Olivia, Rylee, Avery\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Rylee, Avery for 38 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Rylee, Avery in the early evening on 2021/11/18?\", \"38 minutes\"], [\"who did I talk to on 2021/11/18?\", \"Nevaeh, Olivia, Rylee, Avery\"], [\"Did I talk to Nevaeh, Olivia, Rylee, Avery on 2021/11/18?\", \"yes\"], [\"Did I talk to anyone on 2021/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17955\", \"logical_representation\": [\"2021/11/18\", \"Lydia\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I talked to Lydia for 49 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2021/11/18?\", \"49 minutes\"], [\"who did I talk to on 2021/11/18?\", \"Lydia\"], [\"Did I talk to Lydia on 2021/11/18?\", \"yes\"], [\"Did I talk to anyone on 2021/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17956\", \"logical_representation\": [\"2021/11/18\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/11/18?\", \"51 minutes\"], [\"what did I read on 2021/11/18?\", \"a book\"], [\"Did I read on 2021/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17957\", \"logical_representation\": [\"2021/11/18\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/18?\", \"30 minutes\"], [\"what did I watch on tv on 2021/11/18?\", \"news\"], [\"Did I watch tv on 2021/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/19\": {\"exercise\": {\"eid\": \"e17958\", \"logical_representation\": [\"2021/11/19\", \"running\"], \"text_template_based\": \"I did running on 2021/11/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17959\", \"logical_representation\": [\"2021/11/19\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Emily. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/11/19?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2021/11/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17960\", \"logical_representation\": [\"2021/11/19\", \"Nevaeh, Olivia, Piper\", \"in the early afternoon\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Nevaeh, Olivia, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Piper in the early afternoon on 2021/11/19?\", \"5 minutes\"], [\"who did I talk to on 2021/11/19?\", \"Nevaeh, Olivia, Piper\"], [\"Did I talk to Nevaeh, Olivia, Piper on 2021/11/19?\", \"yes\"], [\"Did I talk to anyone on 2021/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17961\", \"logical_representation\": [\"2021/11/19\", \"Layla, Eva\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Layla, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva in the early afternoon on 2021/11/19?\", \"37 minutes\"], [\"who did I talk to on 2021/11/19?\", \"Layla, Eva\"], [\"Did I talk to Layla, Eva on 2021/11/19?\", \"yes\"], [\"Did I talk to anyone on 2021/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17962\", \"logical_representation\": [\"2021/11/19\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/11/19?\", \"32 minutes\"], [\"what did I read on 2021/11/19?\", \"a book\"], [\"Did I read on 2021/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/20\": {\"exercise\": {\"eid\": \"e17963\", \"logical_representation\": [\"2021/11/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/11/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17964\", \"logical_representation\": [\"2021/11/20\", \"lunch\", \"steak\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/11/20\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17965\", \"logical_representation\": [\"2021/11/20\", \"dinner\", \"chinese food\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Emily, Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/11/20?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for dinner on 2021/11/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17966\", \"logical_representation\": [\"2021/11/20\", \"Piper\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2021/11/20?\", \"7 minutes\"], [\"who did I talk to on 2021/11/20?\", \"Piper\"], [\"Did I talk to Piper on 2021/11/20?\", \"yes\"], [\"Did I talk to anyone on 2021/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17967\", \"logical_representation\": [\"2021/11/20\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/11/20?\", \"20 minutes\"], [\"what did I read on 2021/11/20?\", \"a book\"], [\"Did I read on 2021/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/22\": {\"breakfast\": {\"eid\": \"e17973\", \"logical_representation\": [\"2021/11/22\", \"breakfast\", \"pancakes\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/11/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17974\", \"logical_representation\": [\"2021/11/22\", \"lunch\", \"indian food\", \"Jackson, Willow\"], \"text_template_based\": \"I had indian food for lunch with Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/11/22?\", \"Jackson, Willow\"], [\"what did I eat for lunch on 2021/11/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e17975\", \"logical_representation\": [\"2021/11/22\", \"dinner\", \"pasta\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/11/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17976\", \"logical_representation\": [\"2021/11/22\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/11/22?\", \"8 minutes\"], [\"what did I read on 2021/11/22?\", \"news\"], [\"Did I read on 2021/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/23\": {\"breakfast\": {\"eid\": \"e17977\", \"logical_representation\": [\"2021/11/23\", \"breakfast\", \"oatmeal\", \"Jackson, Avery\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/11/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17978\", \"logical_representation\": [\"2021/11/23\", \"lunch\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/11/23?\", \"Carter\"], [\"what did I eat for lunch on 2021/11/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17979\", \"logical_representation\": [\"2021/11/23\", \"Avery, Hazel, Piper, Layla\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Avery, Hazel, Piper, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Piper, Layla in the late afternoon on 2021/11/23?\", \"54 minutes\"], [\"who did I talk to on 2021/11/23?\", \"Avery, Hazel, Piper, Layla\"], [\"Did I talk to Avery, Hazel, Piper, Layla on 2021/11/23?\", \"yes\"], [\"Did I talk to anyone on 2021/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17980\", \"logical_representation\": [\"2021/11/23\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I watched a movie for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/23?\", \"37 minutes\"], [\"what did I watch on tv on 2021/11/23?\", \"a movie\"], [\"Did I watch tv on 2021/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/24\": {\"dinner\": {\"eid\": \"e17981\", \"logical_representation\": [\"2021/11/24\", \"dinner\", \"sushi\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/11/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17982\", \"logical_representation\": [\"2021/11/24\", \"Avery, Hazel\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Avery, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel in the early evening on 2021/11/24?\", \"51 minutes\"], [\"who did I talk to on 2021/11/24?\", \"Avery, Hazel\"], [\"Did I talk to Avery, Hazel on 2021/11/24?\", \"yes\"], [\"Did I talk to anyone on 2021/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/25\": {\"dinner\": {\"eid\": \"e17983\", \"logical_representation\": [\"2021/11/25\", \"dinner\", \"a burger\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/11/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17984\", \"logical_representation\": [\"2021/11/25\", \"Nora\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2021/11/25?\", \"20 minutes\"], [\"who did I talk to on 2021/11/25?\", \"Nora\"], [\"Did I talk to Nora on 2021/11/25?\", \"yes\"], [\"Did I talk to anyone on 2021/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e17985\", \"logical_representation\": [\"2021/11/25\", \"Hazel\", \"in the late afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Hazel for 35 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2021/11/25?\", \"35 minutes\"], [\"who did I talk to on 2021/11/25?\", \"Hazel\"], [\"Did I talk to Hazel on 2021/11/25?\", \"yes\"], [\"Did I talk to anyone on 2021/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/26\": {\"exercise\": {\"eid\": \"e17986\", \"logical_representation\": [\"2021/11/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/11/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e17987\", \"logical_representation\": [\"2021/11/26\", \"breakfast\", \"pancakes\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Emily, Andrew, Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/11/26?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for breakfast on 2021/11/26\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e17988\", \"logical_representation\": [\"2021/11/26\", \"Claire, Lydia\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Claire, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia in the early evening on 2021/11/26?\", \"15 minutes\"], [\"who did I talk to on 2021/11/26?\", \"Claire, Lydia\"], [\"Did I talk to Claire, Lydia on 2021/11/26?\", \"yes\"], [\"Did I talk to anyone on 2021/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/27\": {\"breakfast\": {\"eid\": \"e17989\", \"logical_representation\": [\"2021/11/27\", \"breakfast\", \"pancakes\", \"Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/11/27?\", \"Kayden, Andrew\"], [\"what did I eat for breakfast on 2021/11/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e17990\", \"logical_representation\": [\"2021/11/27\", \"lunch\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/11/27?\", \"Andrew\"], [\"what did I eat for lunch on 2021/11/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17991\", \"logical_representation\": [\"2021/11/27\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/11/27?\", \"25 minutes\"], [\"what did I read on 2021/11/27?\", \"a book\"], [\"Did I read on 2021/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e17992\", \"logical_representation\": [\"2021/11/27\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I watched a documentary for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/27?\", \"10 minutes\"], [\"what did I watch on tv on 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\"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e17995\", \"logical_representation\": [\"2021/11/28\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/11/28?\", \"51 minutes\"], [\"what did I read on 2021/11/28?\", \"a book\"], [\"Did I read on 2021/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/30\": {\"chat0\": {\"eid\": \"e17999\", \"logical_representation\": [\"2021/11/30\", \"Avery, Piper\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Avery, Piper for 6 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper late in the evening on 2021/11/30?\", \"6 minutes\"], [\"who did I talk to on 2021/11/30?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2021/11/30?\", \"yes\"], [\"Did I talk to anyone on 2021/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18000\", \"logical_representation\": [\"2021/11/30\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I watched a movie for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/30?\", \"25 minutes\"], [\"what did I watch on tv on 2021/11/30?\", \"a movie\"], [\"Did I watch tv on 2021/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/01\": {\"lunch\": {\"eid\": \"e18001\", \"logical_representation\": [\"2021/12/01\", \"lunch\", \"steak\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/12/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18002\", \"logical_representation\": [\"2021/12/01\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/12/01?\", \"51 minutes\"], [\"what did I read on 2021/12/01?\", \"social media\"], [\"Did I read on 2021/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18003\", \"logical_representation\": [\"2021/12/01\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/01?\", \"50 minutes\"], [\"what did I watch on tv on 2021/12/01?\", \"news\"], [\"Did I watch tv on 2021/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/02\": {\"exercise\": {\"eid\": \"e18004\", \"logical_representation\": [\"2021/12/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/12/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18005\", \"logical_representation\": [\"2021/12/02\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/02?\", \"36 minutes\"], [\"what did I watch on tv on 2021/12/02?\", \"a movie\"], [\"Did I watch tv on 2021/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/03\": {\"breakfast\": {\"eid\": \"e18006\", \"logical_representation\": [\"2021/12/03\", \"breakfast\", \"pancakes\", \"Avery\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/12/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18007\", \"logical_representation\": [\"2021/12/03\", \"lunch\", \"indian food\", \"Lydia, Layla, Piper, Nora, Eva, Olivia, Nevaeh\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/12/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18008\", \"logical_representation\": [\"2021/12/03\", \"dinner\", \"a burger\", \"Carter\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/12/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18009\", \"logical_representation\": [\"2021/12/03\", \"Claire, Nora, Piper\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Claire, Nora, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Piper in the early evening on 2021/12/03?\", \"19 minutes\"], [\"who did I talk to on 2021/12/03?\", \"Claire, Nora, Piper\"], [\"Did I talk to Claire, Nora, Piper on 2021/12/03?\", \"yes\"], [\"Did I talk to anyone on 2021/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18010\", \"logical_representation\": [\"2021/12/03\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/12/03?\", \"26 minutes\"], [\"what did I read on 2021/12/03?\", \"social media\"], [\"Did I read on 2021/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/04\": {\"breakfast\": {\"eid\": \"e18011\", \"logical_representation\": [\"2021/12/04\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden, Emily. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/12/04?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2021/12/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/05\": {\"dinner\": {\"eid\": \"e18012\", \"logical_representation\": [\"2021/12/05\", \"dinner\", \"pasta\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/12/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18013\", \"logical_representation\": [\"2021/12/05\", \"Piper, Hazel, Nora\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Piper, Hazel, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Nora during lunch hours on 2021/12/05?\", \"24 minutes\"], [\"who did I talk to on 2021/12/05?\", \"Piper, Hazel, Nora\"], [\"Did I talk to Piper, Hazel, Nora on 2021/12/05?\", \"yes\"], [\"Did I talk to anyone on 2021/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18014\", \"logical_representation\": [\"2021/12/05\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/05?\", \"22 minutes\"], [\"what did I watch on tv on 2021/12/05?\", \"a movie\"], [\"Did I watch tv on 2021/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/06\": {\"lunch\": {\"eid\": \"e18015\", \"logical_representation\": [\"2021/12/06\", \"lunch\", \"indian food\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/12/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18016\", \"logical_representation\": [\"2021/12/06\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/12/06?\", \"11 minutes\"], [\"what did I read on 2021/12/06?\", \"social media\"], [\"Did I read on 2021/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18017\", \"logical_representation\": [\"2021/12/06\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/06?\", \"11 minutes\"], [\"what did I watch on tv on 2021/12/06?\", \"news\"], [\"Did I watch tv on 2021/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/07\": {\"exercise\": {\"eid\": \"e18018\", \"logical_representation\": [\"2021/12/07\", \"biking\"], \"text_template_based\": \"I did biking on 2021/12/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/07?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18019\", \"logical_representation\": [\"2021/12/07\", \"lunch\", \"steak\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Andrew, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/12/07?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2021/12/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18020\", \"logical_representation\": [\"2021/12/07\", \"Lydia, Avery\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery for 11 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery late in the evening on 2021/12/07?\", \"11 minutes\"], [\"who did I talk to on 2021/12/07?\", \"Lydia, Avery\"], [\"Did I talk to Lydia, Avery on 2021/12/07?\", \"yes\"], [\"Did I talk to anyone on 2021/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18021\", \"logical_representation\": [\"2021/12/07\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/12/07?\", \"27 minutes\"], [\"what did I read on 2021/12/07?\", \"a book\"], [\"Did I read on 2021/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/08\": {\"lunch\": {\"eid\": \"e18022\", \"logical_representation\": [\"2021/12/08\", \"lunch\", \"tacos\", \"Nevaeh, Olivia, Claire, Hazel, Layla, Kinsley, Nora, Avery, Eva\"], \"text_template_based\": \"I had lunch with Nevaeh, Olivia, Claire, Hazel, Layla, Kinsley, Nora, Avery, Eva. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/12/08?\", \"Nevaeh, Olivia, Claire, Hazel, Layla, Kinsley, Nora, Avery, Eva\"], [\"what did I eat for lunch on 2021/12/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18023\", \"logical_representation\": [\"2021/12/08\", \"dinner\", \"pasta\", \"Eva, Layla, Rylee\"], \"text_template_based\": \"I had pasta for dinner with Eva, Layla, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/12/08?\", \"Eva, Layla, Rylee\"], [\"what did I eat for dinner on 2021/12/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18024\", \"logical_representation\": [\"2021/12/08\", \"Nora\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2021/12/08?\", \"26 minutes\"], [\"who did I talk to on 2021/12/08?\", \"Nora\"], [\"Did I talk to Nora on 2021/12/08?\", \"yes\"], [\"Did I talk to anyone on 2021/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18025\", \"logical_representation\": [\"2021/12/08\", \"Lydia, Kinsley, Olivia\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley, Olivia for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Olivia in the morning on 2021/12/08?\", \"43 minutes\"], [\"who did I talk to on 2021/12/08?\", \"Lydia, Kinsley, Olivia\"], [\"Did I talk to Lydia, Kinsley, Olivia on 2021/12/08?\", \"yes\"], [\"Did I talk to anyone on 2021/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18026\", \"logical_representation\": [\"2021/12/08\", \"a tv series\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/08?\", \"30 minutes\"], [\"what did I watch on tv on 2021/12/08?\", \"a tv series\"], [\"Did I watch tv on 2021/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/10\": {\"chat0\": {\"eid\": \"e18029\", \"logical_representation\": [\"2021/12/10\", \"Hazel, Olivia, Eva\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Hazel, Olivia, Eva for 25 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia, Eva in the late afternoon on 2021/12/10?\", \"25 minutes\"], [\"who did I talk to on 2021/12/10?\", \"Hazel, Olivia, Eva\"], [\"Did I talk to Hazel, Olivia, Eva on 2021/12/10?\", \"yes\"], [\"Did I talk to anyone on 2021/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18030\", \"logical_representation\": [\"2021/12/10\", \"Piper, Hazel, Avery, Rylee\", \"late in the evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Avery, Rylee for 16 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Avery, Rylee late in the evening on 2021/12/10?\", \"16 minutes\"], [\"who did I talk to on 2021/12/10?\", \"Piper, Hazel, Avery, Rylee\"], [\"Did I talk to Piper, Hazel, Avery, Rylee on 2021/12/10?\", \"yes\"], [\"Did I talk to anyone on 2021/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/12\": {\"exercise\": {\"eid\": \"e18033\", \"logical_representation\": [\"2021/12/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/12/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18034\", \"logical_representation\": [\"2021/12/12\", \"breakfast\", \"oatmeal\", \"Eva, Piper\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/12/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18035\", \"logical_representation\": [\"2021/12/12\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/12/12?\", \"44 minutes\"], [\"what did I read on 2021/12/12?\", \"a book\"], [\"Did I read on 2021/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/13\": {\"breakfast\": {\"eid\": \"e18036\", \"logical_representation\": [\"2021/12/13\", \"breakfast\", \"cereals\", \"Jackson\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/12/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18037\", \"logical_representation\": [\"2021/12/13\", \"lunch\", \"chinese food\", \"Nevaeh, Kinsley, Hazel\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/12/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18038\", \"logical_representation\": [\"2021/12/13\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/12/13?\", \"40 minutes\"], [\"what did I read on 2021/12/13?\", \"social media\"], [\"Did I read on 2021/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/14\": {\"breakfast\": {\"eid\": \"e18039\", \"logical_representation\": [\"2021/12/14\", \"breakfast\", \"oatmeal\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I had breakfast with Benjamin, Willow, Avery. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/12/14?\", \"Benjamin, Willow, Avery\"], [\"what did I eat for breakfast on 2021/12/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18040\", \"logical_representation\": [\"2021/12/14\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/12/14?\", \"24 minutes\"], [\"what did I read on 2021/12/14?\", \"social media\"], [\"Did I read on 2021/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/15\": {\"breakfast\": {\"eid\": \"e18041\", \"logical_representation\": [\"2021/12/15\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/12/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18042\", \"logical_representation\": [\"2021/12/15\", \"lunch\", \"indian food\", \"Layla, Eva, Lydia, Avery, Rylee, Nora, Olivia, Claire, Nevaeh, Hazel\"], \"text_template_based\": \"I had lunch with Layla, Eva, Lydia, Avery, Rylee, Nora, Olivia, Claire, Nevaeh, Hazel. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/12/15?\", \"Layla, Eva, Lydia, Avery, Rylee, Nora, Olivia, Claire, Nevaeh, Hazel\"], [\"what did I eat for lunch on 2021/12/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18043\", \"logical_representation\": [\"2021/12/15\", \"dinner\", \"sushi\", \"Lydia, Claire, Layla, Olivia, Hazel, Piper, Kinsley, Rylee, Eva, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/12/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18044\", \"logical_representation\": [\"2021/12/15\", \"Piper, Nevaeh\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Piper, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh late in the evening on 2021/12/15?\", \"18 minutes\"], [\"who did I talk to on 2021/12/15?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2021/12/15?\", \"yes\"], [\"Did I talk to anyone on 2021/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18045\", \"logical_representation\": [\"2021/12/15\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/12/15?\", \"50 minutes\"], [\"what did I read on 2021/12/15?\", \"a book\"], [\"Did I read on 2021/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/16\": {\"exercise\": {\"eid\": \"e18046\", \"logical_representation\": [\"2021/12/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/12/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18047\", \"logical_representation\": [\"2021/12/16\", \"Kinsley, Rylee\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee for 10 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee late in the evening on 2021/12/16?\", \"10 minutes\"], [\"who did I talk to on 2021/12/16?\", \"Kinsley, Rylee\"], [\"Did I talk to Kinsley, Rylee on 2021/12/16?\", \"yes\"], [\"Did I talk to anyone on 2021/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18048\", \"logical_representation\": [\"2021/12/16\", \"news\", \"38 minutes\"], \"text_template_based\": \"I watched news for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/16?\", \"38 minutes\"], [\"what did I watch on tv on 2021/12/16?\", \"news\"], [\"Did I watch tv on 2021/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/17\": {\"chat0\": {\"eid\": \"e18049\", \"logical_representation\": [\"2021/12/17\", \"Olivia, Layla, Nora, Hazel\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Olivia, Layla, Nora, Hazel for 52 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Nora, Hazel in the early evening on 2021/12/17?\", \"52 minutes\"], [\"who did I talk to on 2021/12/17?\", \"Olivia, Layla, Nora, Hazel\"], [\"Did I talk to Olivia, Layla, Nora, Hazel on 2021/12/17?\", \"yes\"], [\"Did I talk to anyone on 2021/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18050\", \"logical_representation\": [\"2021/12/17\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/12/17?\", \"31 minutes\"], [\"what did I read on 2021/12/17?\", \"news\"], [\"Did I read on 2021/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/18\": {\"exercise\": {\"eid\": \"e18051\", \"logical_representation\": [\"2021/12/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/12/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18052\", \"logical_representation\": [\"2021/12/18\", \"dinner\", \"pasta\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/12/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18053\", \"logical_representation\": [\"2021/12/18\", \"Claire, Nevaeh\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Claire, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh in the early afternoon on 2021/12/18?\", \"8 minutes\"], [\"who did I talk to on 2021/12/18?\", \"Claire, Nevaeh\"], [\"Did I talk to Claire, Nevaeh on 2021/12/18?\", \"yes\"], [\"Did I talk to anyone on 2021/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18054\", \"logical_representation\": [\"2021/12/18\", \"Claire\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2021/12/18?\", \"17 minutes\"], [\"who did I talk to on 2021/12/18?\", \"Claire\"], [\"Did I talk to Claire on 2021/12/18?\", \"yes\"], [\"Did I talk to anyone on 2021/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18055\", \"logical_representation\": [\"2021/12/18\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/12/18?\", \"28 minutes\"], [\"what did I read on 2021/12/18?\", \"a book\"], [\"Did I read on 2021/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/19\": {\"exercise\": {\"eid\": \"e18056\", \"logical_representation\": [\"2021/12/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/12/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18057\", \"logical_representation\": [\"2021/12/19\", \"breakfast\", \"pancakes\", \"Kinsley, Hazel, Rylee, Piper\"], \"text_template_based\": \"I had breakfast with Kinsley, Hazel, Rylee, Piper. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/12/19?\", \"Kinsley, Hazel, Rylee, Piper\"], [\"what did I eat for breakfast on 2021/12/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18058\", \"logical_representation\": [\"2021/12/19\", \"lunch\", \"sushi\", \"Rylee, Piper, Claire, Nevaeh\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/12/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18059\", \"logical_representation\": [\"2021/12/19\", \"Layla\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2021/12/19?\", \"13 minutes\"], [\"who did I talk to on 2021/12/19?\", \"Layla\"], [\"Did I talk to Layla on 2021/12/19?\", \"yes\"], [\"Did I talk to anyone on 2021/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/20\": {\"lunch\": {\"eid\": \"e18060\", \"logical_representation\": [\"2021/12/20\", \"lunch\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/12/20?\", \"Carter\"], [\"what did I eat for lunch on 2021/12/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18061\", \"logical_representation\": [\"2021/12/20\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/12/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18062\", \"logical_representation\": [\"2021/12/20\", \"Lydia, Layla, Nora, Eva\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Lydia, Layla, Nora, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla, Nora, Eva late in the evening on 2021/12/20?\", \"32 minutes\"], [\"who did I talk to on 2021/12/20?\", \"Lydia, Layla, Nora, Eva\"], [\"Did I talk to Lydia, Layla, Nora, Eva on 2021/12/20?\", \"yes\"], [\"Did I talk to anyone on 2021/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18063\", \"logical_representation\": [\"2021/12/20\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/20?\", \"5 minutes\"], [\"what did I watch on tv on 2021/12/20?\", \"a tv series\"], [\"Did I watch tv on 2021/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/22\": {\"exercise\": {\"eid\": \"e18065\", \"logical_representation\": [\"2021/12/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/12/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18066\", \"logical_representation\": [\"2021/12/22\", \"lunch\", \"a burger\", \"Emily, Carter\"], \"text_template_based\": \"I had a burger for lunch with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/12/22?\", \"Emily, Carter\"], [\"what did I eat for lunch on 2021/12/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18067\", \"logical_representation\": [\"2021/12/22\", \"dinner\", \"pasta\", \"Avery, Olivia, Eva, Lydia, Hazel, Piper, Claire, Nevaeh, Nora\"], \"text_template_based\": \"I had pasta for dinner with Avery, Olivia, Eva, Lydia, Hazel, Piper, Claire, Nevaeh, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/12/22?\", \"Avery, Olivia, Eva, Lydia, Hazel, Piper, Claire, Nevaeh, Nora\"], [\"what did I eat for dinner on 2021/12/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18068\", \"logical_representation\": [\"2021/12/22\", \"Eva, Rylee, Hazel, Nora\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee, Hazel, Nora for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Hazel, Nora during lunch hours on 2021/12/22?\", \"31 minutes\"], [\"who did I talk to on 2021/12/22?\", \"Eva, Rylee, Hazel, Nora\"], [\"Did I talk to Eva, Rylee, Hazel, Nora on 2021/12/22?\", \"yes\"], [\"Did I talk to anyone on 2021/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18069\", \"logical_representation\": [\"2021/12/22\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/12/22?\", \"29 minutes\"], [\"what did I read on 2021/12/22?\", \"social media\"], [\"Did I read on 2021/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/23\": {\"exercise\": {\"eid\": \"e18070\", \"logical_representation\": [\"2021/12/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/12/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18071\", \"logical_representation\": [\"2021/12/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Lydia, Layla, Piper\"], \"text_template_based\": \"I had breakfast with Hazel, Lydia, Layla, Piper. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/12/23?\", \"Hazel, Lydia, Layla, Piper\"], [\"what did I eat for breakfast on 2021/12/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18072\", \"logical_representation\": [\"2021/12/23\", \"lunch\", \"sandwich\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had sandwich for lunch with Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/12/23?\", \"Benjamin, Jackson\"], [\"what did I eat for lunch on 2021/12/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18073\", \"logical_representation\": [\"2021/12/23\", \"dinner\", \"steak\", \"Kayden, Emily\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/12/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18074\", \"logical_representation\": [\"2021/12/23\", \"Claire, Avery\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Claire, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery in the morning on 2021/12/23?\", \"37 minutes\"], [\"who did I talk to on 2021/12/23?\", \"Claire, Avery\"], [\"Did I talk to Claire, Avery on 2021/12/23?\", \"yes\"], [\"Did I talk to anyone on 2021/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18075\", \"logical_representation\": [\"2021/12/23\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/12/23?\", \"17 minutes\"], [\"what did I read on 2021/12/23?\", \"a book\"], [\"Did I read on 2021/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/24\": {\"exercise\": {\"eid\": \"e18076\", \"logical_representation\": [\"2021/12/24\", \"biking\"], \"text_template_based\": \"I did biking on 2021/12/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18077\", \"logical_representation\": [\"2021/12/24\", \"dinner\", \"fish and chips\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Jackson. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/12/24?\", \"Benjamin, Jackson\"], [\"what did I eat for dinner on 2021/12/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18078\", \"logical_representation\": [\"2021/12/24\", \"Kinsley, Layla, Lydia\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla, Lydia for 19 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Lydia in the late afternoon on 2021/12/24?\", \"19 minutes\"], [\"who did I talk to on 2021/12/24?\", \"Kinsley, Layla, Lydia\"], [\"Did I talk to Kinsley, Layla, Lydia on 2021/12/24?\", \"yes\"], [\"Did I talk to anyone on 2021/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/26\": {\"exercise\": {\"eid\": \"e18081\", \"logical_representation\": [\"2021/12/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/12/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18082\", \"logical_representation\": [\"2021/12/26\", \"Avery, Lydia, Nora\", \"in the early evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia, Nora for 16 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Nora in the early evening on 2021/12/26?\", \"16 minutes\"], [\"who did I talk to on 2021/12/26?\", \"Avery, Lydia, Nora\"], [\"Did I talk to Avery, Lydia, Nora on 2021/12/26?\", \"yes\"], [\"Did I talk to anyone on 2021/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18083\", \"logical_representation\": [\"2021/12/26\", \"Olivia\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Olivia for 32 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2021/12/26?\", \"32 minutes\"], [\"who did I talk to on 2021/12/26?\", \"Olivia\"], [\"Did I talk to Olivia on 2021/12/26?\", \"yes\"], [\"Did I talk to anyone on 2021/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18084\", \"logical_representation\": [\"2021/12/26\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/12/26?\", \"35 minutes\"], [\"what did I read on 2021/12/26?\", \"social media\"], [\"Did I read on 2021/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18085\", \"logical_representation\": [\"2021/12/26\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/26?\", \"51 minutes\"], [\"what did I watch on tv on 2021/12/26?\", \"a documentary\"], [\"Did I watch tv on 2021/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/27\": {\"exercise\": {\"eid\": \"e18086\", \"logical_representation\": [\"2021/12/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/12/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18087\", \"logical_representation\": [\"2021/12/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Olivia, Nevaeh, Piper, Layla, Avery, Claire, Eva, Hazel\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/12/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18088\", \"logical_representation\": [\"2021/12/27\", \"dinner\", \"chinese food\", \"Rylee, Olivia, Nevaeh, Lydia, Piper, Avery\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/12/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18089\", \"logical_representation\": [\"2021/12/27\", \"Olivia, Claire, Layla\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Olivia, Claire, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire, Layla late in the evening on 2021/12/27?\", \"41 minutes\"], [\"who did I talk to on 2021/12/27?\", \"Olivia, Claire, Layla\"], [\"Did I talk to Olivia, Claire, Layla on 2021/12/27?\", \"yes\"], [\"Did I talk to anyone on 2021/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18090\", \"logical_representation\": [\"2021/12/27\", \"Claire, Kinsley, Piper, Piper\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Claire, Kinsley, Piper, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Piper, Piper during lunch hours on 2021/12/27?\", \"21 minutes\"], [\"who did I talk to on 2021/12/27?\", \"Claire, Kinsley, Piper, Piper\"], [\"Did I talk to Claire, Kinsley, Piper, Piper on 2021/12/27?\", \"yes\"], [\"Did I talk to anyone on 2021/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18091\", \"logical_representation\": [\"2021/12/27\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/27?\", \"40 minutes\"], [\"what did I watch on tv on 2021/12/27?\", \"a documentary\"], [\"Did I watch tv on 2021/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/28\": {\"exercise\": {\"eid\": \"e18092\", \"logical_representation\": [\"2021/12/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/12/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18093\", \"logical_representation\": [\"2021/12/28\", \"breakfast\", \"pancakes\", \"Hazel\"], \"text_template_based\": \"I had breakfast with Hazel. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/12/28?\", \"Hazel\"], [\"what did I eat for breakfast on 2021/12/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18094\", \"logical_representation\": [\"2021/12/28\", \"lunch\", \"fish and chips\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Emily, Kayden, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/12/28?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2021/12/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18095\", \"logical_representation\": [\"2021/12/28\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/12/28?\", \"53 minutes\"], [\"what did I read on 2021/12/28?\", \"social media\"], [\"Did I read on 2021/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18096\", \"logical_representation\": [\"2021/12/28\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I watched a movie for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/28?\", \"48 minutes\"], [\"what did I watch on tv on 2021/12/28?\", \"a movie\"], [\"Did I watch tv on 2021/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/29\": {\"exercise\": {\"eid\": \"e18097\", \"logical_representation\": [\"2021/12/29\", \"biking\"], \"text_template_based\": \"I did biking on 2021/12/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/29?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18098\", \"logical_representation\": [\"2021/12/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/12/29?\", \"Kayden, Emily, Carter\"], [\"what did I eat for breakfast on 2021/12/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18099\", \"logical_representation\": [\"2021/12/29\", \"lunch\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had tacos for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/12/29?\", \"Kayden\"], [\"what did I eat for lunch on 2021/12/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18100\", \"logical_representation\": [\"2021/12/29\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/12/29?\", \"14 minutes\"], [\"what did I read on 2021/12/29?\", \"social media\"], [\"Did I read on 2021/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/30\": {\"chat0\": {\"eid\": \"e18101\", \"logical_representation\": [\"2021/12/30\", \"Piper\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2021/12/30?\", \"43 minutes\"], [\"who did I talk to on 2021/12/30?\", \"Piper\"], [\"Did I talk to Piper on 2021/12/30?\", \"yes\"], [\"Did I talk to anyone on 2021/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18102\", \"logical_representation\": [\"2021/12/30\", \"Piper\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Piper for 24 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2021/12/30?\", \"24 minutes\"], [\"who did I talk to on 2021/12/30?\", \"Piper\"], [\"Did I talk to Piper on 2021/12/30?\", \"yes\"], [\"Did I talk to anyone on 2021/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18103\", \"logical_representation\": [\"2021/12/30\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/12/30?\", \"14 minutes\"], [\"what did I read on 2021/12/30?\", \"social media\"], [\"Did I read on 2021/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18104\", \"logical_representation\": [\"2021/12/30\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I watched a movie for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/30?\", \"36 minutes\"], [\"what did I watch on tv on 2021/12/30?\", \"a movie\"], [\"Did I watch tv on 2021/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/31\": {\"exercise\": {\"eid\": \"e18105\", \"logical_representation\": [\"2021/12/31\", \"running\"], \"text_template_based\": \"I did running on 2021/12/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/31?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18106\", \"logical_representation\": [\"2021/12/31\", \"breakfast\", \"pancakes\", \"Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/12/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18107\", \"logical_representation\": [\"2021/12/31\", \"lunch\", \"sushi\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had lunch with Willow, Benjamin, Jackson. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/12/31?\", \"Willow, Benjamin, Jackson\"], [\"what did I eat for lunch on 2021/12/31\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18108\", \"logical_representation\": [\"2021/12/31\", \"dinner\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I had dinner. 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\"logical_representation\": [\"2022/01/04\", [\"Olivia\", \"Nevaeh\", \"Hazel\"], \"Indian food\", \"Falafel Alzaeem\"], \"text_template_based\": \"I ate Indian food at Falafel Alzaeem with Olivia, Nevaeh, Hazel on  2022/01/04 when I was in Dubai, UAE.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Falafel Alzaeem ?\", \"Olivia, Nevaeh, Hazel\"], [\"who did I eat Indian food with?\", \"Olivia, Nevaeh, Hazel\"], [\"where did we eat Indian food during our trip to Dubai, UAE on  2022/01/04?\", \"Falafel Alzaeem\"], [\"when did we eat Indian food at Falafel Alzaeem during our trip to Dubai, UAE?\", \"2022/01/04\"], [\"when did we eat at Falafel Alzaeem?\", \"2022/01/04\"], [\"when did we eat Indian food?\", \"2022/01/04\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18263\", \"logical_representation\": [\"2022/01/04\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I ate fish and chips for dinner.\", 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for breakfast with Avery, Benjamin, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/01/07?\", \"Avery, Benjamin, Willow, Jackson\"], [\"what did I eat for breakfast on 2022/01/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18274\", \"logical_representation\": [\"2022/01/07\", \"Layla, Claire\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I talked to Layla, Claire for 39 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire during lunch hours on 2022/01/07?\", \"39 minutes\"], [\"who did I talk to on 2022/01/07?\", \"Layla, Claire\"], [\"Did I talk to Layla, Claire on 2022/01/07?\", \"yes\"], [\"Did I talk to anyone on 2022/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18275\", \"logical_representation\": [\"2022/01/07\", \"news\", \"31 minutes\"], \"text_template_based\": \"I watched news for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/07?\", \"31 minutes\"], [\"what did I watch on tv on 2022/01/07?\", \"news\"], [\"Did I watch tv on 2022/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/08\": {\"dining\": {\"eid\": \"e18121\", \"logical_representation\": [\"2022/01/08\", [\"Olivia\", \"Nevaeh\", \"Hazel\"], \"Italian food\", \"Sind Punjab\"], \"text_template_based\": \"I ate Italian food at Sind Punjab with Olivia, Nevaeh, Hazel on  2022/01/08 when I was in Dubai, UAE.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Sind Punjab ?\", \"Olivia, Nevaeh, Hazel\"], [\"who did I eat Italian food with?\", \"Olivia, Nevaeh, Hazel\"], [\"where did we eat Italian food during our trip to Dubai, UAE on  2022/01/08?\", \"Sind Punjab\"], [\"when did we eat Italian food at Sind Punjab during our trip to Dubai, UAE?\", \"2022/01/08\"], [\"when did we eat at Sind Punjab?\", \"2022/01/08\"], [\"when did we eat Italian food?\", \"2022/01/08\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18276\", \"logical_representation\": [\"2022/01/08\", \"Hazel, Piper, Eva, Olivia\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Eva, Olivia for 24 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Eva, Olivia late in the evening on 2022/01/08?\", \"24 minutes\"], [\"who did I talk to on 2022/01/08?\", \"Hazel, Piper, Eva, Olivia\"], [\"Did I talk to Hazel, Piper, Eva, Olivia on 2022/01/08?\", \"yes\"], [\"Did I talk to anyone on 2022/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/20\": {\"personal_medical_care\": {\"eid\": \"e18122\", \"logical_representation\": [\"2022/05/20\", \"I went for an annual dental cleaning and checkup on 2022/05/20 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual dental cleaning and checkup on 2022/05/20 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual dental cleaning and checkup in 2022?\", \"2022/05/20\"], [\"where did I go for an annual dental cleaning and checkup on 2022/05/20\", \"university hospital\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18740\", \"logical_representation\": [\"2022/05/20\", \"running\"], \"text_template_based\": \"I did running on 2022/05/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/20?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18741\", \"logical_representation\": [\"2022/05/20\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/05/20?\", \"Kayden, Andrew\"], [\"what did I eat for breakfast on 2022/05/20\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18742\", \"logical_representation\": [\"2022/05/20\", \"dinner\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18743\", \"logical_representation\": [\"2022/05/20\", \"Eva, Layla\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Eva, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla in the early evening on 2022/05/20?\", \"33 minutes\"], [\"who did I talk to on 2022/05/20?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2022/05/20?\", \"yes\"], [\"Did I talk to anyone on 2022/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18744\", \"logical_representation\": [\"2022/05/20\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/05/20?\", \"16 minutes\"], [\"what did I read on 2022/05/20?\", \"news\"], [\"Did I read on 2022/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/01\": {\"personal_medical_care\": {\"eid\": \"e18123\", \"logical_representation\": [\"2022/09/01\", \"I went for an annual vision checkup on 2022/09/01 at the hospital.\", \"hospital\"], \"text_template_based\": \"I went for an annual vision checkup on 2022/09/01 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual vision checkup in 2022?\", \"2022/09/01\"], [\"where did I go for an annual vision checkup on 2022/09/01\", \"hospital\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19131\", \"logical_representation\": [\"2022/09/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/09/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19132\", \"logical_representation\": [\"2022/09/01\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19133\", \"logical_representation\": [\"2022/09/01\", \"lunch\", \"tacos\", \"Nevaeh, Layla, Hazel, Piper, Olivia, Avery, Eva\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19134\", \"logical_representation\": [\"2022/09/01\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/09/01?\", \"Emily\"], [\"what did I eat for dinner on 2022/09/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19135\", \"logical_representation\": [\"2022/09/01\", \"Lydia, Avery, Kinsley\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery, Kinsley for 27 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Kinsley in the early evening on 2022/09/01?\", \"27 minutes\"], [\"who did I talk to on 2022/09/01?\", \"Lydia, Avery, Kinsley\"], [\"Did I talk to Lydia, Avery, Kinsley on 2022/09/01?\", \"yes\"], [\"Did I talk to anyone on 2022/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19136\", \"logical_representation\": [\"2022/09/01\", \"Piper, Nora, Rylee\", \"in the morning\", \"36 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Rylee for 36 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Rylee in the morning on 2022/09/01?\", \"36 minutes\"], [\"who did I talk to on 2022/09/01?\", \"Piper, Nora, Rylee\"], [\"Did I talk to Piper, Nora, Rylee on 2022/09/01?\", \"yes\"], [\"Did I talk to anyone on 2022/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19137\", \"logical_representation\": [\"2022/09/01\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/01?\", \"44 minutes\"], [\"what did I watch on tv on 2022/09/01?\", \"a documentary\"], [\"Did I watch tv on 2022/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/26\": {\"parent_medical_care\": {\"eid\": \"e18124\", \"logical_representation\": [\"2022/07/26\", \"my parents for their and I went for an annual physical checkup at the university hospital on 2022/07/26.\", \"university hospital\"], \"text_template_based\": \"my parents for their and I went for an annual physical checkup at the university hospital on 2022/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2022?\", \"2022/07/26\"], [\"what did I do on 2022/07/26\", \"I took my parents for their for an  annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18982\", \"logical_representation\": [\"2022/07/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18983\", \"logical_representation\": [\"2022/07/26\", \"breakfast\", \"cereals\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had cereals for breakfast with Willow, Jackson, Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/07/26?\", \"Willow, Jackson, Benjamin, Avery\"], [\"what did I eat for breakfast on 2022/07/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18984\", \"logical_representation\": [\"2022/07/26\", \"lunch\", \"chinese food\", \"Nora, Lydia, Nevaeh, Rylee, Hazel, Eva, Kinsley, Claire, Avery, Piper, Layla, Olivia, Piper\"], \"text_template_based\": \"I had chinese food for lunch with Nora, Lydia, Nevaeh, Rylee, Hazel, Eva, Kinsley, Claire, Avery, Piper, Layla, Olivia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/07/26?\", \"Nora, Lydia, Nevaeh, Rylee, Hazel, Eva, Kinsley, Claire, Avery, Piper, Layla, Olivia, Piper\"], [\"what did I eat for lunch on 2022/07/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18985\", \"logical_representation\": [\"2022/07/26\", \"dinner\", \"pasta\", \"Kinsley\"], \"text_template_based\": \"I had pasta for dinner with Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/07/26?\", \"Kinsley\"], [\"what did I eat for dinner on 2022/07/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18986\", \"logical_representation\": [\"2022/07/26\", \"Rylee, Piper, Olivia\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper, Olivia for 13 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Olivia late in the evening on 2022/07/26?\", \"13 minutes\"], [\"who did I talk to on 2022/07/26?\", \"Rylee, Piper, Olivia\"], [\"Did I talk to Rylee, Piper, Olivia on 2022/07/26?\", \"yes\"], [\"Did I talk to anyone on 2022/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18987\", \"logical_representation\": [\"2022/07/26\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/07/26?\", \"24 minutes\"], [\"what did I read on 2022/07/26?\", \"news\"], [\"Did I read on 2022/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18988\", \"logical_representation\": [\"2022/07/26\", \"news\", \"27 minutes\"], \"text_template_based\": \"I watched news for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/26?\", \"27 minutes\"], [\"what did I watch on tv on 2022/07/26?\", \"news\"], [\"Did I watch tv on 2022/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/18\": {\"parent_medical_care\": {\"eid\": \"e18125\", \"logical_representation\": [\"2022/02/18\", \"I took my parents for their for an annual dental cleaning and checkup on 2022/02/18 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I took my parents for their for an annual dental cleaning and checkup on 2022/02/18 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2022?\", \"2022/02/18\"], [\"what did I do on 2022/02/18\", \"I took my parents for their for an annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18412\", \"logical_representation\": [\"2022/02/18\", \"lunch\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/02/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18413\", \"logical_representation\": [\"2022/02/18\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/02/18?\", \"15 minutes\"], [\"what did I read on 2022/02/18?\", \"news\"], [\"Did I read on 2022/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18414\", \"logical_representation\": [\"2022/02/18\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/18?\", \"37 minutes\"], [\"what did I watch on tv on 2022/02/18?\", \"news\"], [\"Did I watch tv on 2022/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/28\": {\"parent_medical_care\": {\"eid\": \"e18126\", \"logical_representation\": [\"2022/08/28\", \"I took my parents for their for an annual vision checkup on 2022/08/28 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I took my parents for their for an annual vision checkup on 2022/08/28 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual vision checkup in 2022?\", \"2022/08/28\"], [\"what did I do on 2022/08/28\", \"I took my parents for their for an annual vision checkup\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e18209\", \"logical_representation\": [\"2022/08/28\", \"Ava\", \"a park\"], \"text_template_based\": \"I went on a date with Ava on 2022/08/28 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/08/28\", \"Ava\"], [\"where did I go for the date on 2022/08/28\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19111\", \"logical_representation\": [\"2022/08/28\", \"biking\"], \"text_template_based\": \"I did biking on 2022/08/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19112\", \"logical_representation\": [\"2022/08/28\", \"breakfast\", \"pancakes\", \"Layla, Rylee, Nevaeh, Hazel, Piper, Eva, Olivia, Kinsley, Lydia\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19113\", \"logical_representation\": [\"2022/08/28\", \"dinner\", \"indian food\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/08/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19114\", \"logical_representation\": [\"2022/08/28\", \"Rylee, Lydia\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Rylee, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia in the early afternoon on 2022/08/28?\", \"20 minutes\"], [\"who did I talk to on 2022/08/28?\", \"Rylee, Lydia\"], [\"Did I talk to Rylee, Lydia on 2022/08/28?\", \"yes\"], [\"Did I talk to anyone on 2022/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19115\", \"logical_representation\": [\"2022/08/28\", \"Rylee, Layla, Olivia, Piper\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Rylee, Layla, Olivia, Piper for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla, Olivia, Piper in the morning on 2022/08/28?\", \"43 minutes\"], [\"who did I talk to on 2022/08/28?\", \"Rylee, Layla, Olivia, Piper\"], [\"Did I talk to Rylee, Layla, Olivia, Piper on 2022/08/28?\", \"yes\"], [\"Did I talk to anyone on 2022/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19116\", \"logical_representation\": [\"2022/08/28\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/08/28?\", \"14 minutes\"], [\"what did I read on 2022/08/28?\", \"social media\"], [\"Did I read on 2022/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19117\", \"logical_representation\": [\"2022/08/28\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I watched a documentary for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/28?\", \"7 minutes\"], [\"what did I watch on tv on 2022/08/28?\", \"a documentary\"], [\"Did I watch tv on 2022/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/01\": {\"child_medical_care\": {\"eid\": \"e18127\", \"logical_representation\": [\"2022/10/01\", \"Kayden for his/her  and I went for an annual physical checkup at the hospital on 2022/10/01.\", \"hospital\"], \"text_template_based\": \"Kayden for his/her  and I went for an annual physical checkup at the hospital on 2022/10/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Kayden for his/her  for an annual physical checkup in 2022?\", \"2022/10/01\"], [\"what did I do on 2022/10/01\", \"I took Kayden for his/her  for an  annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19253\", \"logical_representation\": [\"2022/10/01\", \"breakfast\", \"cereals\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19254\", \"logical_representation\": [\"2022/10/01\", \"lunch\", \"chinese food\", \"Hazel, Nevaeh, Layla\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19255\", \"logical_representation\": [\"2022/10/01\", \"Lydia\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Lydia for 53 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2022/10/01?\", \"53 minutes\"], [\"who did I talk to on 2022/10/01?\", \"Lydia\"], [\"Did I talk to Lydia on 2022/10/01?\", \"yes\"], [\"Did I talk to anyone on 2022/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19256\", \"logical_representation\": [\"2022/10/01\", \"Claire\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Claire for 18 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2022/10/01?\", \"18 minutes\"], [\"who did I talk to on 2022/10/01?\", \"Claire\"], [\"Did I talk to Claire on 2022/10/01?\", \"yes\"], [\"Did I talk to anyone on 2022/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19257\", \"logical_representation\": [\"2022/10/01\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/10/01?\", \"41 minutes\"], [\"what did I read on 2022/10/01?\", \"a book\"], [\"Did I read on 2022/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/27\": {\"child_medical_care\": {\"eid\": \"e18128\", \"logical_representation\": [\"2022/11/27\", \"Kayden for his/her  and I went for an annual dental cleaning and checkup at the private clinic on 2022/11/27.\", \"private clinic\"], \"text_template_based\": \"Kayden for his/her  and I went for an annual dental cleaning and checkup at the private clinic on 2022/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Kayden for his/her  for an annual dental cleaning and checkup in 2022?\", \"2022/11/27\"], [\"what did I do on 2022/11/27\", \"I took Kayden for his/her  for an  annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e18243\", \"logical_representation\": [\"2022/11/27\", \"I spent some time gardening on 2022/11/27.\", \"gardening\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I spent some time gardening on 2022/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2022/11/27\"], [\"On 2022/11/27, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19474\", \"logical_representation\": [\"2022/11/27\", \"dinner\", \"a burger\", \"Jackson\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/11/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19475\", \"logical_representation\": [\"2022/11/27\", \"Claire, Avery, Piper, Rylee\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Claire, Avery, Piper, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Piper, Rylee in the early evening on 2022/11/27?\", \"40 minutes\"], [\"who did I talk to on 2022/11/27?\", \"Claire, Avery, Piper, Rylee\"], [\"Did I talk to Claire, Avery, Piper, Rylee on 2022/11/27?\", \"yes\"], [\"Did I talk to anyone on 2022/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19476\", \"logical_representation\": [\"2022/11/27\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I watched a movie for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/27?\", \"33 minutes\"], [\"what did I watch on tv on 2022/11/27?\", \"a movie\"], [\"Did I watch tv on 2022/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/11\": {\"child_medical_care\": {\"eid\": \"e18129\", \"logical_representation\": [\"2022/03/11\", \"I took Emily for his/her  for an annual physical checkup on 2022/03/11 at the hospital.\", \"hospital\"], \"text_template_based\": \"I took Emily for his/her  for an annual physical checkup on 2022/03/11 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Emily for his/her  for an annual physical checkup in 2022?\", \"2022/03/11\"], [\"what did I do on 2022/03/11\", \"I took Emily for his/her  for an annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e18148\", \"logical_representation\": [\"2022/03/11\", \"I went grocery shopping with Jackson, Avery, Benjamin, Willow. I bought some apricots, milk, sports drinks, and shampoo\", \"apricots\", \"milk, sports drinks\", \"shampoo\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I went grocery shopping with Jackson, Avery, Benjamin, Willow. I bought some apricots, milk, sports drinks, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/03/11?\", \"apricots, milk, sports drinks, and shampoo\"], [\"what fruits did I buy from the grocery store on 2022/03/11?\", \"apricots\"], [\"what drinks did I buy from the grocery store on 2022/03/11?\", \"milk, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2022/03/11?\", \"shampoo\"], [\"who was with me at the grocery store on 2022/03/11?\", \"Jackson, Avery, Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18494\", \"logical_representation\": [\"2022/03/11\", \"Lydia, Olivia, Hazel, Kinsley\", \"in the early afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Lydia, Olivia, Hazel, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Hazel, Kinsley in the early afternoon on 2022/03/11?\", \"50 minutes\"], [\"who did I talk to on 2022/03/11?\", \"Lydia, Olivia, Hazel, Kinsley\"], [\"Did I talk to Lydia, Olivia, Hazel, Kinsley on 2022/03/11?\", \"yes\"], [\"Did I talk to anyone on 2022/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18495\", \"logical_representation\": [\"2022/03/11\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/03/11?\", \"55 minutes\"], [\"what did I read on 2022/03/11?\", \"a book\"], [\"Did I read on 2022/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/09\": {\"dating\": {\"eid\": \"e18132\", \"logical_representation\": [\"2022/01/09\", \"Wesley\", \"a park\"], \"text_template_based\": \"On 2022/01/09, I took Wesley on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/01/09\", \"Wesley\"], [\"where did I go for the date on 2022/01/09\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18277\", \"logical_representation\": [\"2022/01/09\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had cereals for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/01/09?\", \"Carter\"], [\"what did I eat for breakfast on 2022/01/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18278\", \"logical_representation\": [\"2022/01/09\", \"lunch\", \"tacos\", \"Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/01/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18279\", \"logical_representation\": [\"2022/01/09\", \"dinner\", \"a burger\", \"Layla\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/01/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18280\", \"logical_representation\": [\"2022/01/09\", \"Olivia\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I talked to Olivia for 43 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2022/01/09?\", \"43 minutes\"], [\"who did I talk to on 2022/01/09?\", \"Olivia\"], [\"Did I talk to Olivia on 2022/01/09?\", \"yes\"], [\"Did I talk to anyone on 2022/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18281\", \"logical_representation\": [\"2022/01/09\", \"Kinsley, Hazel, Layla\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel, Layla for 14 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Layla in the early evening on 2022/01/09?\", \"14 minutes\"], [\"who did I talk to on 2022/01/09?\", \"Kinsley, Hazel, Layla\"], [\"Did I talk to Kinsley, Hazel, Layla on 2022/01/09?\", \"yes\"], [\"Did I talk to anyone on 2022/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18282\", \"logical_representation\": [\"2022/01/09\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I watched a documentary for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/09?\", \"32 minutes\"], [\"what did I watch on tv on 2022/01/09?\", \"a documentary\"], [\"Did I watch tv on 2022/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/13\": {\"dating\": {\"eid\": \"e18133\", \"logical_representation\": [\"2022/01/13\", \"Everett\", \"a boba shop\"], \"text_template_based\": \"On 2022/01/13, I took Everett on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/01/13\", \"Everett\"], [\"where did I go for the date on 2022/01/13\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18296\", \"logical_representation\": [\"2022/01/13\", \"running\"], \"text_template_based\": \"I did running on 2022/01/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/13?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18297\", \"logical_representation\": [\"2022/01/13\", \"lunch\", \"steak\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/01/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18298\", \"logical_representation\": [\"2022/01/13\", \"Layla, Avery, Nevaeh, Kinsley\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Layla, Avery, Nevaeh, Kinsley for 27 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Nevaeh, Kinsley in the early evening on 2022/01/13?\", \"27 minutes\"], [\"who did I talk to on 2022/01/13?\", \"Layla, Avery, Nevaeh, Kinsley\"], [\"Did I talk to Layla, Avery, Nevaeh, Kinsley on 2022/01/13?\", \"yes\"], [\"Did I talk to anyone on 2022/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18299\", \"logical_representation\": [\"2022/01/13\", \"Layla\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2022/01/13?\", \"25 minutes\"], [\"who did I talk to on 2022/01/13?\", \"Layla\"], [\"Did I talk to Layla on 2022/01/13?\", \"yes\"], [\"Did I talk to anyone on 2022/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/16\": {\"grocery\": {\"eid\": \"e18134\", \"logical_representation\": [\"2022/01/16\", \"I went grocery shopping with Rylee, Claire, Layla, Piper, Piper, Nora, Eva, Nevaeh, Lydia, Hazel, Olivia. I bought some strawberries, guava juice, tea, apple juice, and toilet paper, mouth wash, paper towel, shaving cream\", \"strawberries\", \"guava juice, tea, apple juice\", \"toilet paper, mouth wash, paper towel, shaving cream\", \"Rylee, Claire, Layla, Piper, Piper, Nora, Eva, Nevaeh, Lydia, Hazel, Olivia\"], \"text_template_based\": \"I went grocery shopping with Rylee, Claire, Layla, Piper, Piper, Nora, Eva, Nevaeh, Lydia, Hazel, Olivia. I bought some strawberries, guava juice, tea, apple juice, and toilet paper, mouth wash, paper towel, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/01/16?\", \"strawberries, guava juice, tea, apple juice, and toilet paper, mouth wash, paper towel, shaving cream\"], [\"what fruits did I buy from the grocery store on 2022/01/16?\", \"strawberries\"], [\"what drinks did I buy from the grocery store on 2022/01/16?\", \"guava juice, tea, apple juice\"], [\"what toiletries did I buy from the grocery store on 2022/01/16?\", \"toilet paper, mouth wash, paper towel, shaving cream\"], [\"who was with me at the grocery store on 2022/01/16?\", \"Rylee, Claire, Layla, Piper, Piper, Nora, Eva, Nevaeh, Lydia, Hazel, Olivia\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18308\", \"logical_representation\": [\"2022/01/16\", \"breakfast\", \"oatmeal\", \"Jackson\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/01/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18309\", \"logical_representation\": [\"2022/01/16\", \"lunch\", \"a burger\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had a burger for lunch with Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/01/16?\", \"Carter, Kayden, Emily\"], [\"what did I eat for lunch on 2022/01/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18310\", \"logical_representation\": [\"2022/01/16\", \"Hazel\", \"late in the evening\", \"44 minutes\"], \"text_template_based\": \"I talked to Hazel for 44 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2022/01/16?\", \"44 minutes\"], [\"who did I talk to on 2022/01/16?\", \"Hazel\"], [\"Did I talk to Hazel on 2022/01/16?\", \"yes\"], [\"Did I talk to anyone on 2022/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/20\": {\"grocery\": {\"eid\": \"e18135\", \"logical_representation\": [\"2022/01/20\", \"I went grocery shopping with Jackson, Benjamin. I bought some bananas, cherres, mangos, blueberries, pineapple juice, orange juice, coffee, mineral water, and shaving cream\", \"bananas, cherres, mangos, blueberries\", \"pineapple juice, orange juice, coffee, mineral water\", \"shaving cream\", \"Jackson, Benjamin\"], \"text_template_based\": \"I went grocery shopping with Jackson, Benjamin. I bought some bananas, cherres, mangos, blueberries, pineapple juice, orange juice, coffee, mineral water, and shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/01/20?\", \"bananas, cherres, mangos, blueberries, pineapple juice, orange juice, coffee, mineral water, and shaving cream\"], [\"what fruits did I buy from the grocery store on 2022/01/20?\", \"bananas, cherres, mangos, blueberries\"], [\"what drinks did I buy from the grocery store on 2022/01/20?\", \"pineapple juice, orange juice, coffee, mineral water\"], [\"what toiletries did I buy from the grocery store on 2022/01/20?\", \"shaving cream\"], [\"who was with me at the grocery store on 2022/01/20?\", \"Jackson, Benjamin\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18318\", \"logical_representation\": [\"2022/01/20\", \"lunch\", \"fish and chips\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/01/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18319\", \"logical_representation\": [\"2022/01/20\", \"Nora, Rylee, Hazel, Piper\", \"in the early evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Nora, Rylee, Hazel, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Hazel, Piper in the early evening on 2022/01/20?\", \"46 minutes\"], [\"who did I talk to on 2022/01/20?\", \"Nora, Rylee, Hazel, Piper\"], [\"Did I talk to Nora, Rylee, Hazel, Piper on 2022/01/20?\", \"yes\"], [\"Did I talk to anyone on 2022/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18320\", \"logical_representation\": [\"2022/01/20\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/20?\", \"50 minutes\"], [\"what did I watch on tv on 2022/01/20?\", \"news\"], [\"Did I watch tv on 2022/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/24\": {\"dating\": {\"eid\": \"e18136\", \"logical_representation\": [\"2022/01/24\", \"Nathan\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Nathan on 2022/01/24 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/01/24\", \"Nathan\"], [\"where did I go for the date on 2022/01/24\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e18138\", \"logical_representation\": [\"2022/01/24\", \"I bought some pineapples, orange juice, toothpaste, paper towel, shaving cream online.\", \"pineapples\", \"orange juice\", \"toothpaste, paper towel, shaving cream\", \"Claire, Hazel, Olivia, Lydia, Layla, Nevaeh, Piper, Rylee, Nora, Eva, Piper\"], \"text_template_based\": \"I bought some pineapples, orange juice, toothpaste, paper towel, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/01/24?\", \"pineapples, orange juice, and toothpaste, paper towel, shaving cream\"], [\"what fruits did I buy online on 2022/01/24?\", \"pineapples\"], [\"what drinks did I buy online on 2022/01/24?\", \"orange juice\"], [\"what toiletries did I buy online on 2022/01/24?\", \"toothpaste, paper towel, shaving cream\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18330\", \"logical_representation\": [\"2022/01/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/01/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18331\", \"logical_representation\": [\"2022/01/24\", \"lunch\", \"pasta\", \"Hazel, Nora, Piper\"], \"text_template_based\": \"I had pasta for lunch with Hazel, Nora, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/01/24?\", \"Hazel, Nora, Piper\"], [\"what did I eat for lunch on 2022/01/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18332\", \"logical_representation\": [\"2022/01/24\", \"dinner\", \"sushi\", \"Rylee, Piper, Hazel, Claire, Kinsley, Avery\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/01/24\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2022/01/25\": {\"hobbies\": {\"eid\": \"e18137\", \"logical_representation\": [\"2022/01/25\", \"I spent some time working out on 2022/01/25.\", \"working out\", \"Carter\"], \"text_template_based\": \"I spent some time working out on 2022/01/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2022/01/25\"], [\"On 2022/01/25, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18333\", \"logical_representation\": [\"2022/01/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/01/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18334\", \"logical_representation\": [\"2022/01/25\", \"dinner\", \"a burger\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/01/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18335\", \"logical_representation\": [\"2022/01/25\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I watched a documentary for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/25?\", \"17 minutes\"], [\"what did I watch on tv on 2022/01/25?\", \"a documentary\"], [\"Did I watch tv on 2022/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/27\": {\"grocery\": {\"eid\": \"e18139\", \"logical_representation\": [\"2022/01/27\", \"I bought some oranges, watermelons, sports drinks, pineapple juice, shaving cream, mouthwash online.\", \"oranges, watermelons\", \"sports drinks, pineapple juice\", \"shaving cream, mouthwash\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I bought some oranges, watermelons, sports drinks, pineapple juice, shaving cream, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/01/27?\", \"oranges, watermelons, sports drinks, pineapple juice, and shaving cream, mouthwash\"], [\"what fruits did I buy online on 2022/01/27?\", \"oranges, watermelons\"], [\"what drinks did I buy online on 2022/01/27?\", \"sports drinks, pineapple juice\"], [\"what toiletries did I buy online on 2022/01/27?\", \"shaving cream, mouthwash\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18340\", \"logical_representation\": [\"2022/01/27\", \"dinner\", \"pasta\", \"Layla, Claire, Nevaeh, Eva, Lydia, Piper, Olivia, Kinsley, Rylee\"], \"text_template_based\": \"I had pasta for dinner with Layla, Claire, Nevaeh, Eva, Lydia, Piper, Olivia, Kinsley, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/01/27?\", \"Layla, Claire, Nevaeh, Eva, Lydia, Piper, Olivia, Kinsley, Rylee\"], [\"what did I eat for dinner on 2022/01/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18341\", \"logical_representation\": [\"2022/01/27\", \"Claire, Nora, Piper\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Piper for 14 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Piper in the morning on 2022/01/27?\", \"14 minutes\"], [\"who did I talk to on 2022/01/27?\", \"Claire, Nora, Piper\"], [\"Did I talk to Claire, Nora, Piper on 2022/01/27?\", \"yes\"], [\"Did I talk to anyone on 2022/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18342\", \"logical_representation\": [\"2022/01/27\", \"news\", \"38 minutes\"], \"text_template_based\": \"I watched news for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/27?\", \"38 minutes\"], [\"what did I watch on tv on 2022/01/27?\", \"news\"], [\"Did I watch tv on 2022/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/31\": {\"hobbies\": {\"eid\": \"e18140\", \"logical_representation\": [\"2022/01/31\", \"I really enjoyed meditation on 2022/01/31\", \"meditation\", \"Carter\"], \"text_template_based\": \"I really enjoyed meditation on 2022/01/31\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2022/01/31\"], [\"On 2022/01/31, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18351\", \"logical_representation\": [\"2022/01/31\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/01/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/31?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18352\", \"logical_representation\": 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I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/01/31?\", \"Piper, Nora, Piper, Eva, Olivia, Lydia, Avery, Rylee, Nevaeh, Claire, Layla, Hazel, Kinsley\"], [\"what did I eat for breakfast on 2022/01/31\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18353\", \"logical_representation\": [\"2022/01/31\", \"lunch\", \"chinese food\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/01/31?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2022/01/31\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18354\", \"logical_representation\": [\"2022/01/31\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I watched a movie for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/31?\", \"22 minutes\"], [\"what did I watch on tv on 2022/01/31?\", \"a movie\"], [\"Did I watch tv on 2022/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/15\": {\"hobbies\": {\"eid\": \"e18141\", \"logical_representation\": [\"2022/02/15\", \"I spent time gardening on 2022/02/15 with Layla, Avery, Piper.\", \"gardening\", \"Layla, Avery, Piper\"], \"text_template_based\": \"I spent time gardening on 2022/02/15 with Layla, Avery, Piper.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Layla, Avery, Piper?\", \"2022/02/15\"], [\"On 2022/02/15, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2022/02/15?\", \"Layla, Avery, Piper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18404\", \"logical_representation\": [\"2022/02/15\", \"breakfast\", \"oatmeal\", \"Willow\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18405\", \"logical_representation\": [\"2022/02/15\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I watched a documentary for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/15?\", \"43 minutes\"], [\"what did I watch on tv on 2022/02/15?\", \"a documentary\"], [\"Did I watch tv on 2022/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/19\": {\"hobbies\": {\"eid\": \"e18142\", \"logical_representation\": [\"2022/02/19\", \"I spent time working out on 2022/02/19 with Benjamin, Jackson.\", \"working out\", \"Benjamin, Jackson\"], \"text_template_based\": \"I spent time working out on 2022/02/19 with Benjamin, Jackson.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Benjamin, Jackson?\", \"2022/02/19\"], [\"On 2022/02/19, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2022/02/19?\", \"Benjamin, Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18415\", \"logical_representation\": [\"2022/02/19\", \"breakfast\", \"pancakes\", \"Kayden, Emily\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18416\", \"logical_representation\": [\"2022/02/19\", \"Nora, Claire\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Nora, Claire for 24 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire in the early evening on 2022/02/19?\", \"24 minutes\"], [\"who did I talk to on 2022/02/19?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2022/02/19?\", \"yes\"], [\"Did I talk to anyone on 2022/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18417\", \"logical_representation\": [\"2022/02/19\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/02/19?\", \"15 minutes\"], [\"what did I read on 2022/02/19?\", \"a book\"], [\"Did I read on 2022/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18418\", \"logical_representation\": [\"2022/02/19\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I watched a documentary for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/19?\", \"36 minutes\"], [\"what did I watch on tv on 2022/02/19?\", \"a documentary\"], [\"Did I watch tv on 2022/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/25\": {\"hobbies\": {\"eid\": \"e18143\", \"logical_representation\": [\"2022/02/25\", \"I spent time meditation on 2022/02/25 with Benjamin, Jackson.\", \"meditation\", \"Benjamin, Jackson\"], \"text_template_based\": \"I spent time meditation on 2022/02/25 with Benjamin, Jackson.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Benjamin, Jackson?\", \"2022/02/25\"], [\"On 2022/02/25, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2022/02/25?\", \"Benjamin, Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18441\", \"logical_representation\": [\"2022/02/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Nora, Kinsley\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18442\", \"logical_representation\": [\"2022/02/25\", \"lunch\", \"chinese food\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had chinese food for lunch with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/02/25?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2022/02/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18443\", \"logical_representation\": [\"2022/02/25\", \"dinner\", \"tacos\", \"Piper, Nevaeh, Claire, Eva, Piper, Nora, Hazel, Rylee, Lydia, Avery\"], \"text_template_based\": \"I had dinner with Piper, Nevaeh, Claire, Eva, Piper, Nora, Hazel, Rylee, Lydia, Avery. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/02/25?\", \"Piper, Nevaeh, Claire, Eva, Piper, Nora, Hazel, Rylee, Lydia, Avery\"], [\"what did I eat for dinner on 2022/02/25\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18444\", \"logical_representation\": [\"2022/02/25\", \"Hazel, Piper, Olivia, Avery\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Hazel, Piper, Olivia, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Olivia, Avery in the late afternoon on 2022/02/25?\", \"24 minutes\"], [\"who did I talk to on 2022/02/25?\", \"Hazel, Piper, Olivia, Avery\"], [\"Did I talk to Hazel, Piper, Olivia, Avery on 2022/02/25?\", \"yes\"], [\"Did I talk to anyone on 2022/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/20\": {\"grocery\": {\"eid\": \"e18144\", \"logical_representation\": [\"2022/02/20\", \"I went grocery shopping with Carter, Andrew, Emily, Kayden. I bought some pineapples, watermelons, cherres, pears, orange juice, apple juice, and mouthwash, facial wash, conditioner, shampoo\", \"pineapples, watermelons, cherres, pears\", \"orange juice, apple juice\", \"mouthwash, facial wash, conditioner, shampoo\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I went grocery shopping with Carter, Andrew, Emily, Kayden. I bought some pineapples, watermelons, cherres, pears, orange juice, apple juice, and mouthwash, facial wash, conditioner, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/02/20?\", \"pineapples, watermelons, cherres, pears, orange juice, apple juice, and mouthwash, facial wash, conditioner, shampoo\"], [\"what fruits did I buy from the grocery store on 2022/02/20?\", \"pineapples, watermelons, cherres, pears\"], [\"what drinks did I buy from the grocery store on 2022/02/20?\", \"orange juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2022/02/20?\", \"mouthwash, facial wash, conditioner, shampoo\"], [\"who was with me at the grocery store on 2022/02/20?\", \"Carter, Andrew, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18419\", \"logical_representation\": [\"2022/02/20\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18420\", \"logical_representation\": [\"2022/02/20\", \"lunch\", \"sandwich\", \"Nevaeh, Eva, Avery, Lydia, Rylee, Kinsley, Piper, Olivia\"], \"text_template_based\": \"I had sandwich for lunch with Nevaeh, Eva, Avery, Lydia, Rylee, Kinsley, Piper, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/02/20?\", \"Nevaeh, Eva, Avery, Lydia, Rylee, Kinsley, Piper, Olivia\"], [\"what did I eat for lunch on 2022/02/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18421\", \"logical_representation\": [\"2022/02/20\", \"Avery, Nevaeh, Eva\", \"during lunch hours\", \"15 minutes\"], \"text_template_based\": \"I talked to Avery, Nevaeh, Eva for 15 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Eva during lunch hours on 2022/02/20?\", \"15 minutes\"], [\"who did I talk to on 2022/02/20?\", \"Avery, Nevaeh, Eva\"], [\"Did I talk to Avery, Nevaeh, Eva on 2022/02/20?\", \"yes\"], [\"Did I talk to anyone on 2022/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18422\", \"logical_representation\": [\"2022/02/20\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/02/20?\", \"9 minutes\"], [\"what did I read on 2022/02/20?\", \"news\"], [\"Did I read on 2022/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/03\": {\"hobbies\": {\"eid\": \"e18145\", \"logical_representation\": [\"2022/03/03\", \"I spent some time meditation on 2022/03/03.\", \"meditation\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I spent some time meditation on 2022/03/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2022/03/03\"], [\"On 2022/03/03, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18461\", \"logical_representation\": [\"2022/03/03\", \"lunch\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/03/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18462\", \"logical_representation\": [\"2022/03/03\", \"dinner\", \"fish and chips\", \"Claire, Lydia\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18463\", \"logical_representation\": [\"2022/03/03\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/03/03?\", \"52 minutes\"], [\"what did I read on 2022/03/03?\", \"a book\"], [\"Did I read on 2022/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/01\": {\"grocery\": {\"eid\": \"e18146\", \"logical_representation\": [\"2022/03/01\", \"I went grocery shopping with Piper, Hazel. I bought some bananas, raspberries, mangos, guava, mineral water, coffee, soda, sports drinks, and facial wash, mouthwash, toilet paper, body lotion\", \"bananas, raspberries, mangos, guava\", \"mineral water, coffee, soda, sports drinks\", \"facial wash, mouthwash, toilet paper, body lotion\", \"Piper, Hazel\"], \"text_template_based\": \"I went grocery shopping with Piper, Hazel. I bought some bananas, raspberries, mangos, guava, mineral water, coffee, soda, sports drinks, and facial wash, mouthwash, toilet paper, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/03/01?\", \"bananas, raspberries, mangos, guava, mineral water, coffee, soda, sports drinks, and facial wash, mouthwash, toilet paper, body lotion\"], [\"what fruits did I buy from the grocery store on 2022/03/01?\", \"bananas, raspberries, mangos, guava\"], [\"what drinks did I buy from the grocery store on 2022/03/01?\", \"mineral water, coffee, soda, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2022/03/01?\", \"facial wash, mouthwash, toilet paper, body lotion\"], [\"who was with me at the grocery store on 2022/03/01?\", \"Piper, Hazel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18454\", \"logical_representation\": [\"2022/03/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/03/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18455\", \"logical_representation\": [\"2022/03/01\", \"Hazel, Olivia, Claire\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Hazel, Olivia, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia, Claire in the early evening on 2022/03/01?\", \"41 minutes\"], [\"who did I talk to on 2022/03/01?\", \"Hazel, Olivia, Claire\"], [\"Did I talk to Hazel, Olivia, Claire on 2022/03/01?\", \"yes\"], [\"Did I talk to anyone on 2022/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18456\", \"logical_representation\": [\"2022/03/01\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/03/01?\", \"22 minutes\"], [\"what did I read on 2022/03/01?\", \"a book\"], [\"Did I read on 2022/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/08\": {\"dating\": {\"eid\": \"e18147\", \"logical_representation\": [\"2022/03/08\", \"Xavier\", \"a coffee Shop\"], \"text_template_based\": \"On 2022/03/08, I took Xavier on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/03/08\", \"Xavier\"], [\"where did I go for the date on 2022/03/08\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18484\", \"logical_representation\": [\"2022/03/08\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/03/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/08?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18485\", \"logical_representation\": [\"2022/03/08\", \"dinner\", \"pasta\", \"Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/08\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2022/03/24\": {\"grocery\": {\"eid\": \"e18149\", \"logical_representation\": [\"2022/03/24\", \"I bought some apricots, soda, sports drinks, milk, conditioner from the grocery store. I saw Jackson, Benjamin, Willow, Avery at the grocery store.\", \"apricots\", \"soda, sports drinks, milk\", \"conditioner\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I bought some apricots, soda, sports drinks, milk, conditioner from the grocery store. I saw Jackson, Benjamin, Willow, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/03/24?\", \"apricots, soda, sports drinks, milk, and conditioner\"], [\"what fruits did I buy from the grocery store on 2022/03/24?\", \"apricots\"], [\"what drinks did I buy from the grocery store on 2022/03/24?\", \"soda, sports drinks, milk\"], [\"what toiletries did I buy from the grocery store on 2022/03/24?\", \"conditioner\"], [\"who did I see at the grocery store on 2022/03/24?\", \"Jackson, Benjamin, Willow, Avery\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18536\", \"logical_representation\": [\"2022/03/24\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/24?\", \"46 minutes\"], [\"what did I watch on tv on 2022/03/24?\", \"a movie\"], [\"Did I watch tv on 2022/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/29\": {\"dating\": {\"eid\": \"e18150\", \"logical_representation\": [\"2022/03/29\", \"Brooklyn\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Brooklyn on 2022/03/29 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/03/29\", \"Brooklyn\"], [\"where did I go for the date on 2022/03/29\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e18152\", \"logical_representation\": [\"2022/03/29\", \"I bought some mandarins, blackberries, apples, mineral water, guava juice, conditioner online.\", \"mandarins, blackberries, apples\", \"mineral water, guava juice\", \"conditioner\", \"Emily\"], \"text_template_based\": \"I bought some mandarins, blackberries, apples, mineral water, guava juice, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/03/29?\", \"mandarins, blackberries, apples, mineral water, guava juice, and conditioner\"], [\"what fruits did I buy online on 2022/03/29?\", \"mandarins, blackberries, apples\"], [\"what drinks did I buy online on 2022/03/29?\", \"mineral water, guava juice\"], [\"what toiletries did I buy online on 2022/03/29?\", \"conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18551\", \"logical_representation\": [\"2022/03/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/03/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18552\", \"logical_representation\": [\"2022/03/29\", \"breakfast\", \"toast and cheese\", \"Olivia, Nora, Hazel, Eva, Lydia, Kinsley, Rylee, Piper, Piper\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18553\", \"logical_representation\": [\"2022/03/29\", \"dinner\", \"indian food\", \"Kinsley, Piper, Lydia\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18554\", \"logical_representation\": [\"2022/03/29\", \"Eva\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Eva for 43 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the late afternoon on 2022/03/29?\", \"43 minutes\"], [\"who did I talk to on 2022/03/29?\", \"Eva\"], [\"Did I talk to Eva on 2022/03/29?\", \"yes\"], [\"Did I talk to anyone on 2022/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18555\", \"logical_representation\": [\"2022/03/29\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/03/29?\", \"39 minutes\"], [\"what did I read on 2022/03/29?\", \"a book\"], [\"Did I read on 2022/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18556\", \"logical_representation\": [\"2022/03/29\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I watched a documentary for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/29?\", \"32 minutes\"], [\"what did I watch on tv on 2022/03/29?\", \"a documentary\"], [\"Did I watch tv on 2022/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/26\": {\"grocery\": {\"eid\": \"e18151\", \"logical_representation\": [\"2022/03/26\", \"I went grocery shopping with Carter. I bought some bananas, peaches, mandarins, cherres, pineapple juice, and mouthwash\", \"bananas, peaches, mandarins, cherres\", \"pineapple juice\", \"mouthwash\", \"Carter\"], \"text_template_based\": \"I went grocery shopping with Carter. I bought some bananas, peaches, mandarins, cherres, pineapple juice, and mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/03/26?\", \"bananas, peaches, mandarins, cherres, pineapple juice, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2022/03/26?\", \"bananas, peaches, mandarins, cherres\"], [\"what drinks did I buy from the grocery store on 2022/03/26?\", \"pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2022/03/26?\", \"mouthwash\"], [\"who was with me at the grocery store on 2022/03/26?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18540\", \"logical_representation\": [\"2022/03/26\", \"biking\"], \"text_template_based\": \"I did biking on 2022/03/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18541\", \"logical_representation\": [\"2022/03/26\", \"Olivia, Piper, Nora, Rylee\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Nora, Rylee for 24 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Nora, Rylee in the late afternoon on 2022/03/26?\", \"24 minutes\"], [\"who did I talk to on 2022/03/26?\", \"Olivia, Piper, Nora, Rylee\"], [\"Did I talk to Olivia, Piper, Nora, Rylee on 2022/03/26?\", \"yes\"], [\"Did I talk to anyone on 2022/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18542\", \"logical_representation\": [\"2022/03/26\", \"a documentary\", \"32 minutes\"], \"text_template_based\": \"I watched a documentary for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/26?\", \"32 minutes\"], [\"what did I watch on tv on 2022/03/26?\", \"a documentary\"], [\"Did I watch tv on 2022/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/03\": {\"dating\": {\"eid\": \"e18153\", \"logical_representation\": [\"2022/04/03\", \"Scarlett\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Scarlett on 2022/04/03 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/04/03\", \"Scarlett\"], [\"where did I go for the date on 2022/04/03\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e18155\", \"logical_representation\": [\"2022/04/03\", \"I went grocery shopping with Carter, Andrew. I bought some pineapples, guava juice, milk, orange juice, sports drinks, and toilet paper, shampoo\", \"pineapples\", \"guava juice, milk, orange juice, sports drinks\", \"toilet paper, shampoo\", \"Carter, Andrew\"], \"text_template_based\": \"I went grocery shopping with Carter, Andrew. I bought some pineapples, guava juice, milk, orange juice, sports drinks, and toilet paper, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/04/03?\", \"pineapples, guava juice, milk, orange juice, sports drinks, and toilet paper, shampoo\"], [\"what fruits did I buy from the grocery store on 2022/04/03?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2022/04/03?\", \"guava juice, milk, orange juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2022/04/03?\", \"toilet paper, shampoo\"], [\"who was with me at the grocery store on 2022/04/03?\", \"Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18572\", \"logical_representation\": [\"2022/04/03\", \"breakfast\", \"pancakes\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/04/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18573\", \"logical_representation\": [\"2022/04/03\", \"Piper, Hazel, Kinsley\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Kinsley for 9 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Kinsley in the early evening on 2022/04/03?\", \"9 minutes\"], [\"who did I talk to on 2022/04/03?\", \"Piper, Hazel, Kinsley\"], [\"Did I talk to Piper, Hazel, Kinsley on 2022/04/03?\", \"yes\"], [\"Did I talk to anyone on 2022/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18574\", \"logical_representation\": [\"2022/04/03\", \"Lydia, Hazel, Nora, Layla\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Lydia, Hazel, Nora, Layla for 53 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Nora, Layla in the early evening on 2022/04/03?\", \"53 minutes\"], [\"who did I talk to on 2022/04/03?\", \"Lydia, Hazel, Nora, Layla\"], [\"Did I talk to Lydia, Hazel, Nora, Layla on 2022/04/03?\", \"yes\"], [\"Did I talk to anyone on 2022/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18575\", \"logical_representation\": [\"2022/04/03\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/04/03?\", \"31 minutes\"], [\"what did I read on 2022/04/03?\", \"news\"], [\"Did I read on 2022/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18576\", \"logical_representation\": [\"2022/04/03\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/03?\", \"47 minutes\"], [\"what did I watch on tv on 2022/04/03?\", \"news\"], [\"Did I watch tv on 2022/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/02\": {\"hobbies\": {\"eid\": \"e18154\", \"logical_representation\": [\"2022/04/02\", \"I really enjoyed learning a language on 2022/04/02\", \"learning a language\", \"Jackson\"], \"text_template_based\": \"I really enjoyed learning a language on 2022/04/02\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2022/04/02\"], [\"On 2022/04/02, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18566\", \"logical_representation\": [\"2022/04/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/04/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18567\", \"logical_representation\": [\"2022/04/02\", \"breakfast\", \"cereals\", \"Andrew\"], \"text_template_based\": \"I had cereals for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/04/02?\", \"Andrew\"], [\"what did I eat for breakfast on 2022/04/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18568\", \"logical_representation\": [\"2022/04/02\", \"lunch\", \"indian food\", \"Hazel, Nora, Piper, Avery, Claire, Olivia, Nevaeh, Kinsley, Layla, Lydia\"], \"text_template_based\": \"I had lunch with Hazel, Nora, Piper, Avery, Claire, Olivia, Nevaeh, Kinsley, Layla, Lydia. 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I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/04/12?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2022/04/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18606\", \"logical_representation\": [\"2022/04/12\", \"Kinsley, Piper, Nevaeh\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Nevaeh for 52 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Nevaeh in the early afternoon on 2022/04/12?\", \"52 minutes\"], [\"who did I talk to on 2022/04/12?\", \"Kinsley, Piper, Nevaeh\"], [\"Did I talk to Kinsley, Piper, Nevaeh on 2022/04/12?\", \"yes\"], [\"Did I talk to anyone on 2022/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18607\", \"logical_representation\": [\"2022/04/12\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/04/12?\", \"38 minutes\"], [\"what did I read on 2022/04/12?\", \"social media\"], [\"Did I read on 2022/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/17\": {\"bake\": {\"eid\": \"e18158\", \"logical_representation\": [\"2022/04/17\", \"I really enjoyed baking homemade toaster pastries, brown sugar-pear puff pastries on 2022/04/17 with Carter, Emily, Andrew, Kayden at my place\", \"bake\", \"homemade toaster pastries, brown sugar-pear puff pastries\", \"Carter, Emily, Andrew, Kayden\", \"my place\"], \"text_template_based\": \"I really enjoyed baking homemade toaster pastries, brown sugar-pear puff pastries on 2022/04/17 with Carter, Emily, Andrew, Kayden at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  homemade toaster pastries, brown sugar-pear puff pastries with Carter, Emily, Andrew, Kayden?\", \"2022/04/17\"], [\"what did I  on 2022/04/17?\", \"homemade toaster pastries, brown sugar-pear puff pastries\"], [\"who was I with when I  homemade toaster pastries, brown sugar-pear puff pastries on 2022/04/17?\", \"Carter, Emily, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18622\", \"logical_representation\": [\"2022/04/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/04/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18623\", \"logical_representation\": [\"2022/04/17\", \"breakfast\", \"toast and cheese\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/04/17?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for breakfast on 2022/04/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18624\", \"logical_representation\": [\"2022/04/17\", \"lunch\", \"a burger\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/04/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18625\", \"logical_representation\": [\"2022/04/17\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I watched a movie for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/17?\", \"50 minutes\"], [\"what did I watch on tv on 2022/04/17?\", \"a movie\"], [\"Did I watch tv on 2022/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/18\": {\"dating\": {\"eid\": \"e18159\", \"logical_representation\": [\"2022/04/18\", \"Jeremiah\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Jeremiah on 2022/04/18 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/04/18\", \"Jeremiah\"], [\"where did I go for the date on 2022/04/18\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18626\", \"logical_representation\": [\"2022/04/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/04/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18627\", \"logical_representation\": [\"2022/04/18\", \"breakfast\", \"toast and cheese\", \"Rylee, Avery, Claire, Layla, Lydia, Nora, Piper\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/04/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18628\", \"logical_representation\": [\"2022/04/18\", \"lunch\", \"a burger\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/04/18\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2022/04/16\": {\"grocery\": {\"eid\": \"e18160\", \"logical_representation\": [\"2022/04/16\", \"I bought some guava, tea, guava juice, orange juice, sports drinks, shaving cream, mouth wash online.\", \"guava\", \"tea, guava juice, orange juice, sports drinks\", \"shaving cream, mouth wash\", \"Piper, Nevaeh, Nora, Eva, Kinsley, Lydia, Olivia, Piper, Avery, Claire, Rylee\"], \"text_template_based\": \"I bought some guava, tea, guava juice, orange juice, sports drinks, shaving cream, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/04/16?\", \"guava, tea, guava juice, orange juice, sports drinks, and shaving cream, mouth wash\"], [\"what fruits did I buy online on 2022/04/16?\", \"guava\"], [\"what drinks did I buy online on 2022/04/16?\", \"tea, guava juice, orange juice, sports drinks\"], [\"what toiletries did I buy online on 2022/04/16?\", \"shaving cream, mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18619\", \"logical_representation\": [\"2022/04/16\", \"running\"], \"text_template_based\": \"I did running on 2022/04/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18620\", \"logical_representation\": [\"2022/04/16\", \"lunch\", \"pasta\", \"Rylee, Layla, Olivia, Piper, Kinsley, Claire\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/04/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18621\", \"logical_representation\": [\"2022/04/16\", \"social media\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/04/16?\", \"15 minutes\"], [\"what did I read on 2022/04/16?\", \"social media\"], [\"Did I read on 2022/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/19\": {\"grocery\": {\"eid\": \"e18161\", \"logical_representation\": [\"2022/04/19\", \"I went grocery shopping with Andrew, Kayden, Emily. I bought some guava, blueberries, mango juice, sports drinks, soda, orange juice, and toothpaste, shampoo\", \"guava, blueberries\", \"mango juice, sports drinks, soda, orange juice\", \"toothpaste, shampoo\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping with Andrew, Kayden, Emily. I bought some guava, blueberries, mango juice, sports drinks, soda, orange juice, and toothpaste, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/04/19?\", \"guava, blueberries, mango juice, sports drinks, soda, orange juice, and toothpaste, shampoo\"], [\"what fruits did I buy from the grocery store on 2022/04/19?\", \"guava, blueberries\"], [\"what drinks did I buy from the grocery store on 2022/04/19?\", \"mango juice, sports drinks, soda, orange juice\"], [\"what toiletries did I buy from the grocery store on 2022/04/19?\", \"toothpaste, shampoo\"], [\"who was with me at the grocery store on 2022/04/19?\", \"Andrew, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18629\", \"logical_representation\": [\"2022/04/19\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/04/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/19?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18630\", \"logical_representation\": [\"2022/04/19\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had toast and cheese for breakfast with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/04/19?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for breakfast on 2022/04/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18631\", \"logical_representation\": [\"2022/04/19\", \"lunch\", \"sandwich\", \"Rylee, Nevaeh, Eva, Hazel, Nora, Olivia, Kinsley, Piper, Piper\"], \"text_template_based\": \"I had sandwich for lunch with Rylee, Nevaeh, Eva, Hazel, Nora, Olivia, Kinsley, Piper, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/04/19?\", \"Rylee, Nevaeh, Eva, Hazel, Nora, Olivia, Kinsley, Piper, Piper\"], [\"what 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anyone on 2022/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18650\", \"logical_representation\": [\"2022/04/24\", \"Claire, Piper, Avery, Piper\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Avery, Piper for 53 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Avery, Piper during lunch hours on 2022/04/24?\", \"53 minutes\"], [\"who did I talk to on 2022/04/24?\", \"Claire, Piper, Avery, Piper\"], [\"Did I talk to Claire, Piper, Avery, Piper on 2022/04/24?\", \"yes\"], [\"Did I talk to anyone on 2022/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18651\", \"logical_representation\": [\"2022/04/24\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/04/24?\", \"41 minutes\"], [\"what did I read on 2022/04/24?\", \"a book\"], [\"Did I read on 2022/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/03\": {\"cook\": {\"eid\": \"e18163\", \"logical_representation\": [\"2022/05/03\", \"I entertained Eva, Kinsley at my place on 2022/05/03 and cook swedish meatball recipe\", \"cook\", \"swedish meatball recipe\", \"Eva, Kinsley\", \"my place\"], \"text_template_based\": \"I entertained Eva, Kinsley at my place on 2022/05/03 and cook swedish meatball recipe\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook swedish meatball recipe with Eva, Kinsley?\", \"2022/05/03\"], [\"what did I cook on 2022/05/03?\", \"swedish meatball recipe\"], [\"who was I with when I  swedish meatball recipe on 2022/05/03?\", \"Eva, Kinsley\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e18164\", \"logical_representation\": [\"2022/05/03\", \"Michael\", \"a coffee Shop\"], \"text_template_based\": \"On 2022/05/03, I took Michael on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/05/03\", \"Michael\"], [\"where did I go for the date on 2022/05/03\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18675\", \"logical_representation\": [\"2022/05/03\", \"running\"], \"text_template_based\": \"I did running on 2022/05/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18676\", \"logical_representation\": [\"2022/05/03\", \"breakfast\", \"pancakes\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had pancakes for breakfast with Avery, Jackson, Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/05/03?\", \"Avery, Jackson, Benjamin, Willow\"], [\"what did I eat for breakfast on 2022/05/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18677\", \"logical_representation\": [\"2022/05/03\", \"Lydia, Piper, Rylee\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Rylee for 27 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Rylee during lunch hours on 2022/05/03?\", \"27 minutes\"], [\"who did I talk to on 2022/05/03?\", \"Lydia, Piper, Rylee\"], [\"Did I talk to Lydia, Piper, Rylee on 2022/05/03?\", \"yes\"], [\"Did I talk to anyone on 2022/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/02\": {\"grocery\": {\"eid\": \"e18165\", \"logical_representation\": [\"2022/05/02\", \"I went grocery shopping with Avery, Willow, Jackson, Benjamin. I bought some strawberries, coffee, milk, guava juice, mineral water, and shampoo, facial wash, shaving cream, toothbrush\", \"strawberries\", \"coffee, milk, guava juice, mineral water\", \"shampoo, facial wash, shaving cream, toothbrush\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I went grocery shopping with Avery, Willow, Jackson, Benjamin. I bought some strawberries, coffee, milk, guava juice, mineral water, and shampoo, facial wash, shaving cream, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/05/02?\", \"strawberries, coffee, milk, guava juice, mineral water, and shampoo, facial wash, shaving cream, toothbrush\"], [\"what fruits did I buy from the grocery store on 2022/05/02?\", \"strawberries\"], [\"what drinks did I buy from the grocery store on 2022/05/02?\", \"coffee, milk, guava juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2022/05/02?\", \"shampoo, facial wash, shaving cream, toothbrush\"], [\"who was with me at the grocery store on 2022/05/02?\", \"Avery, Willow, Jackson, Benjamin\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18674\", \"logical_representation\": [\"2022/05/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/05/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2022/05/12\": {\"dating\": {\"eid\": \"e18166\", \"logical_representation\": [\"2022/05/12\", \"Sarah\", \"a restaurant\"], \"text_template_based\": \"On 2022/05/12, I took Sarah on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/05/12\", \"Sarah\"], [\"where did I go for the date on 2022/05/12\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18708\", \"logical_representation\": [\"2022/05/12\", \"breakfast\", \"oatmeal\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18709\", \"logical_representation\": [\"2022/05/12\", \"lunch\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/05/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18710\", \"logical_representation\": [\"2022/05/12\", \"dinner\", \"tacos\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18711\", \"logical_representation\": [\"2022/05/12\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/12?\", \"21 minutes\"], [\"what did I watch on tv on 2022/05/12?\", \"news\"], [\"Did I watch tv on 2022/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/10\": {\"hobbies\": {\"eid\": \"e18167\", \"logical_representation\": [\"2022/05/10\", \"I spent some time meditation on 2022/05/10.\", \"meditation\", \"Andrew, Emily\"], \"text_template_based\": \"I spent some time meditation on 2022/05/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2022/05/10\"], [\"On 2022/05/10, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e18169\", \"logical_representation\": [\"2022/05/10\", \"I bought some nectarines, cherres, watermelons, mangos, coffee, guava juice, orange juice, mineral water, conditioner online.\", \"nectarines, cherres, watermelons, mangos\", \"coffee, guava juice, orange juice, mineral water\", \"conditioner\", \"Emily\"], \"text_template_based\": \"I bought some nectarines, cherres, watermelons, mangos, coffee, guava juice, orange juice, mineral water, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/05/10?\", \"nectarines, cherres, watermelons, mangos, coffee, guava juice, orange juice, mineral water, and conditioner\"], [\"what fruits did I buy online on 2022/05/10?\", \"nectarines, cherres, watermelons, mangos\"], [\"what drinks did I buy online on 2022/05/10?\", \"coffee, guava juice, orange juice, mineral water\"], [\"what toiletries did I buy online on 2022/05/10?\", \"conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18700\", \"logical_representation\": [\"2022/05/10\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had breakfast with Benjamin, Willow, Jackson. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/05/10?\", \"Benjamin, Willow, Jackson\"], [\"what did I eat for breakfast on 2022/05/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18701\", \"logical_representation\": [\"2022/05/10\", \"lunch\", \"steak\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/05/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18702\", \"logical_representation\": [\"2022/05/10\", \"dinner\", \"tacos\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18703\", \"logical_representation\": [\"2022/05/10\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/10?\", \"35 minutes\"], [\"what did I watch on tv on 2022/05/10?\", \"news\"], [\"Did I watch tv on 2022/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/08\": {\"grocery\": {\"eid\": \"e18168\", \"logical_representation\": [\"2022/05/08\", \"I went grocery shopping. I bought some strawberries, peaches, apple juice, orange juice, guava juice, chocolate milk, and facial wash, toilet paper, shaving cream\", \"strawberries, peaches\", \"apple juice, orange juice, guava juice, chocolate milk\", \"facial wash, toilet paper, shaving cream\", \"Piper, Olivia, Layla, Piper, Rylee, Avery, Nora, Eva, Kinsley, Lydia, Claire, Nevaeh\"], \"text_template_based\": \"I went grocery shopping. I bought some strawberries, peaches, apple juice, orange juice, guava juice, chocolate milk, and facial wash, toilet paper, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/05/08?\", \"strawberries, peaches, apple juice, orange juice, guava juice, chocolate milk, and facial wash, toilet paper, shaving cream\"], [\"what fruits did I buy from the grocery store on 2022/05/08?\", \"strawberries, peaches\"], [\"what drinks did I buy from the grocery store on 2022/05/08?\", \"apple juice, orange juice, guava juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2022/05/08?\", \"facial wash, toilet paper, shaving cream\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18693\", \"logical_representation\": [\"2022/05/08\", \"lunch\", \"tacos\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/05/08?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2022/05/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18694\", \"logical_representation\": [\"2022/05/08\", \"Piper, Lydia\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia for 9 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia during lunch hours on 2022/05/08?\", \"9 minutes\"], [\"who did I talk to on 2022/05/08?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2022/05/08?\", \"yes\"], [\"Did I talk to anyone on 2022/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18695\", \"logical_representation\": [\"2022/05/08\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/05/08?\", \"39 minutes\"], [\"what did I read on 2022/05/08?\", \"social media\"], [\"Did I read on 2022/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18696\", \"logical_representation\": [\"2022/05/08\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/08?\", \"17 minutes\"], [\"what did I watch on tv on 2022/05/08?\", \"a movie\"], [\"Did I watch tv on 2022/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/15\": {\"dating\": {\"eid\": \"e18170\", \"logical_representation\": [\"2022/05/15\", \"Jace\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Jace on 2022/05/15 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/05/15\", \"Jace\"], [\"where did I go for the date on 2022/05/15\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18719\", \"logical_representation\": [\"2022/05/15\", \"breakfast\", \"cereals\", \"Claire, Olivia, Lydia, Nevaeh, Layla, Eva, Nora, Kinsley, Hazel, Avery, Piper, Rylee\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18720\", \"logical_representation\": [\"2022/05/15\", \"lunch\", \"indian food\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had indian food for lunch with Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/05/15?\", \"Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2022/05/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18721\", \"logical_representation\": [\"2022/05/15\", \"dinner\", \"sandwich\", \"Hazel, Claire, Nora, Olivia, Piper, Layla, Rylee, Nevaeh, Piper, Eva, Kinsley, Avery, Lydia\"], \"text_template_based\": \"I had dinner with Hazel, Claire, Nora, Olivia, Piper, Layla, Rylee, Nevaeh, Piper, Eva, Kinsley, Avery, Lydia. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/05/15?\", \"Hazel, Claire, Nora, Olivia, Piper, Layla, Rylee, Nevaeh, Piper, Eva, Kinsley, Avery, Lydia\"], [\"what did I eat for dinner on 2022/05/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2022/05/16\": {\"hobbies\": {\"eid\": \"e18171\", \"logical_representation\": [\"2022/05/16\", \"I spent some time yoga on 2022/05/16.\", \"yoga\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I spent some time yoga on 2022/05/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2022/05/16\"], [\"On 2022/05/16, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18722\", \"logical_representation\": [\"2022/05/16\", \"dinner\", \"tacos\", \"Claire, Nora, Hazel, Olivia, Lydia, Avery\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18723\", \"logical_representation\": [\"2022/05/16\", \"Nevaeh\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2022/05/16?\", \"44 minutes\"], [\"who did I talk to on 2022/05/16?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2022/05/16?\", \"yes\"], [\"Did I talk to anyone on 2022/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18724\", \"logical_representation\": [\"2022/05/16\", \"Avery, Olivia, Piper\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia, Piper for 51 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Piper in the morning on 2022/05/16?\", \"51 minutes\"], [\"who did I talk to on 2022/05/16?\", \"Avery, Olivia, Piper\"], [\"Did I talk to Avery, Olivia, Piper on 2022/05/16?\", \"yes\"], [\"Did I talk to anyone on 2022/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/19\": {\"grocery\": {\"eid\": \"e18172\", \"logical_representation\": [\"2022/05/19\", \"I went grocery shopping with Kayden, Andrew, Emily, Carter. I bought some cherres, mandarins, clementines, pineapples, chocolate milk, tea, and toothpaste, body lotion, mouthwash, shampoo\", \"cherres, mandarins, clementines, pineapples\", \"chocolate milk, tea\", \"toothpaste, body lotion, mouthwash, shampoo\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I went grocery shopping with Kayden, Andrew, Emily, Carter. I bought some cherres, mandarins, clementines, pineapples, chocolate milk, tea, and toothpaste, body lotion, mouthwash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/05/19?\", \"cherres, mandarins, clementines, pineapples, chocolate milk, tea, and toothpaste, body lotion, mouthwash, shampoo\"], [\"what fruits did I buy from the grocery store on 2022/05/19?\", \"cherres, mandarins, clementines, pineapples\"], [\"what drinks did I buy from the grocery store on 2022/05/19?\", \"chocolate milk, tea\"], [\"what toiletries did I buy from the grocery store on 2022/05/19?\", \"toothpaste, body lotion, mouthwash, shampoo\"], [\"who was with me at the grocery store on 2022/05/19?\", \"Kayden, Andrew, Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18735\", \"logical_representation\": [\"2022/05/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/05/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18736\", \"logical_representation\": [\"2022/05/19\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Olivia, Lydia, Claire, Hazel, Kinsley, Eva, Nora, Rylee, Piper\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18737\", \"logical_representation\": [\"2022/05/19\", \"lunch\", \"tacos\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had tacos for lunch with Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/05/19?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2022/05/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18738\", \"logical_representation\": [\"2022/05/19\", \"dinner\", \"a burger\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18739\", \"logical_representation\": [\"2022/05/19\", \"Piper, Kinsley, Nora, Claire\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Nora, Claire for 33 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Nora, Claire in the early evening on 2022/05/19?\", \"33 minutes\"], [\"who did I talk to on 2022/05/19?\", \"Piper, Kinsley, Nora, Claire\"], [\"Did I talk to Piper, Kinsley, Nora, Claire on 2022/05/19?\", \"yes\"], [\"Did I talk to anyone on 2022/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/22\": {\"dating\": {\"eid\": \"e18173\", \"logical_representation\": [\"2022/05/22\", \"Addison\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Addison on 2022/05/22 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/05/22\", \"Addison\"], [\"where did I go for the date on 2022/05/22\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18748\", \"logical_representation\": [\"2022/05/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/05/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18749\", \"logical_representation\": [\"2022/05/22\", \"dinner\", \"a burger\", \"Emily\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/22\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2022/06/03\": {\"bake\": {\"eid\": \"e18174\", \"logical_representation\": [\"2022/06/03\", \"I was baking chocolate chip cookie in a mug, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler on 2022/06/03 with Andrew, Carter, Emily at my place\", \"bake\", \"chocolate chip cookie in a mug, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler\", \"Andrew, Carter, Emily\", \"my place\"], \"text_template_based\": \"I was baking chocolate chip cookie in a mug, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler on 2022/06/03 with Andrew, Carter, Emily at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  chocolate chip cookie in a mug, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler with Andrew, Carter, Emily?\", \"2022/06/03\"], [\"what did I  on 2022/06/03?\", \"chocolate chip cookie in a mug, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler\"], [\"who was I with when I  chocolate chip cookie in a mug, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler on 2022/06/03?\", \"Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18796\", \"logical_representation\": [\"2022/06/03\", \"dinner\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/06/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18797\", \"logical_representation\": [\"2022/06/03\", \"Nora, Piper\", \"in the late afternoon\", \"22 minutes\"], \"text_template_based\": \"I talked to Nora, Piper for 22 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the late afternoon on 2022/06/03?\", \"22 minutes\"], [\"who did I talk to on 2022/06/03?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2022/06/03?\", \"yes\"], [\"Did I talk to anyone on 2022/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18798\", \"logical_representation\": [\"2022/06/03\", \"Hazel, Eva\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Hazel, Eva for 6 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Eva in the early evening on 2022/06/03?\", \"6 minutes\"], [\"who did I talk to on 2022/06/03?\", \"Hazel, Eva\"], [\"Did I talk to Hazel, Eva on 2022/06/03?\", \"yes\"], [\"Did I talk to anyone on 2022/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18799\", \"logical_representation\": [\"2022/06/03\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/06/03?\", \"55 minutes\"], [\"what did I read on 2022/06/03?\", \"a book\"], [\"Did I read on 2022/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18800\", \"logical_representation\": [\"2022/06/03\", \"a tv series\", \"46 minutes\"], \"text_template_based\": \"I watched a tv series for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/03?\", \"46 minutes\"], [\"what did I watch on tv on 2022/06/03?\", \"a tv series\"], [\"Did I watch tv on 2022/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/29\": {\"dating\": {\"eid\": \"e18175\", \"logical_representation\": [\"2022/05/29\", \"Stella\", \"a boba shop\"], \"text_template_based\": \"On 2022/05/29, I took Stella on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/05/29\", \"Stella\"], [\"where did I go for the date on 2022/05/29\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18777\", \"logical_representation\": [\"2022/05/29\", \"breakfast\", \"pancakes\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/29\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18778\", \"logical_representation\": [\"2022/05/29\", \"dinner\", \"steak\", \"Layla, Rylee, Piper, Nora, Avery, Piper, Lydia, Olivia, Claire, Kinsley, Eva\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18779\", \"logical_representation\": [\"2022/05/29\", \"Hazel, Layla\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Hazel, Layla for 38 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla late in the evening on 2022/05/29?\", \"38 minutes\"], [\"who did I talk to on 2022/05/29?\", \"Hazel, Layla\"], [\"Did I talk to Hazel, Layla on 2022/05/29?\", \"yes\"], [\"Did I talk to anyone on 2022/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18780\", \"logical_representation\": [\"2022/05/29\", \"Avery, Lydia\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia for 48 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia in the morning on 2022/05/29?\", \"48 minutes\"], [\"who did I talk to on 2022/05/29?\", \"Avery, Lydia\"], [\"Did I talk to Avery, Lydia on 2022/05/29?\", \"yes\"], [\"Did I talk to anyone on 2022/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18781\", \"logical_representation\": [\"2022/05/29\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/29?\", \"7 minutes\"], [\"what did I watch on tv on 2022/05/29?\", \"news\"], [\"Did I watch tv on 2022/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/01\": {\"dating\": {\"eid\": \"e18176\", \"logical_representation\": [\"2022/06/01\", \"Nathan\", \"a restaurant\"], \"text_template_based\": \"On 2022/06/01, I took Nathan on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/06/01\", \"Nathan\"], [\"where did I go for the date on 2022/06/01\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18789\", \"logical_representation\": [\"2022/06/01\", \"biking\"], \"text_template_based\": \"I did biking on 2022/06/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/01?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18790\", \"logical_representation\": [\"2022/06/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Layla, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Hazel, Piper\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Layla, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Hazel, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/06/01?\", \"Layla, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Hazel, Piper\"], [\"what did I eat for breakfast on 2022/06/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18791\", \"logical_representation\": [\"2022/06/01\", \"dinner\", \"pasta\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/06/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18792\", \"logical_representation\": [\"2022/06/01\", \"Olivia, Rylee\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Olivia, Rylee for 25 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee late in the evening on 2022/06/01?\", \"25 minutes\"], [\"who did I talk to on 2022/06/01?\", \"Olivia, Rylee\"], [\"Did I talk to Olivia, Rylee on 2022/06/01?\", \"yes\"], [\"Did I talk to anyone on 2022/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18793\", \"logical_representation\": [\"2022/06/01\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/06/01?\", \"36 minutes\"], [\"what did I read on 2022/06/01?\", \"social media\"], [\"Did I read on 2022/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/28\": {\"grocery\": {\"eid\": \"e18177\", \"logical_representation\": [\"2022/05/28\", \"I bought some blackberries, bananas, raspberries, pineapple juice, sports drinks, coffee, conditioner from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\", \"blackberries, bananas, raspberries\", \"pineapple juice, sports drinks, coffee\", \"conditioner\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I bought some blackberries, bananas, raspberries, pineapple juice, sports drinks, coffee, conditioner from the grocery store. I saw Andrew, Kayden, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/05/28?\", \"blackberries, bananas, raspberries, pineapple juice, sports drinks, coffee, and conditioner\"], [\"what fruits did I buy from the grocery store on 2022/05/28?\", \"blackberries, bananas, raspberries\"], [\"what drinks did I buy from the grocery store on 2022/05/28?\", \"pineapple juice, sports drinks, coffee\"], [\"what toiletries did I buy from the grocery store on 2022/05/28?\", \"conditioner\"], [\"who did I see at the grocery store on 2022/05/28?\", \"Andrew, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18774\", \"logical_representation\": [\"2022/05/28\", \"biking\"], \"text_template_based\": \"I did biking on 2022/05/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18775\", \"logical_representation\": [\"2022/05/28\", \"lunch\", \"a burger\", \"Andrew, Emily\"], \"text_template_based\": \"I had a burger for lunch with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/05/28?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2022/05/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18776\", \"logical_representation\": [\"2022/05/28\", \"Rylee\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Rylee for 17 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2022/05/28?\", \"17 minutes\"], [\"who did I talk to on 2022/05/28?\", \"Rylee\"], [\"Did I talk to Rylee on 2022/05/28?\", \"yes\"], [\"Did I talk to anyone on 2022/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/02\": {\"grocery\": {\"eid\": \"e18178\", \"logical_representation\": [\"2022/06/02\", \"I bought some peaches, bananas, apricots, pears, chocolate milk, paper towel, facial wash, shaving cream, conditioner online.\", \"peaches, bananas, apricots, pears\", \"chocolate milk\", \"paper towel, facial wash, shaving cream, conditioner\", \"Eva\"], \"text_template_based\": \"I bought some peaches, bananas, apricots, pears, chocolate milk, paper towel, facial wash, shaving cream, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/06/02?\", \"peaches, bananas, apricots, pears, chocolate milk, and paper towel, facial wash, shaving cream, conditioner\"], [\"what fruits did I buy online on 2022/06/02?\", \"peaches, bananas, apricots, pears\"], [\"what drinks did I buy online on 2022/06/02?\", \"chocolate milk\"], [\"what toiletries did I buy online on 2022/06/02?\", \"paper towel, facial wash, shaving cream, conditioner\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18794\", \"logical_representation\": [\"2022/06/02\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/06/02?\", \"17 minutes\"], [\"what did I read on 2022/06/02?\", \"a book\"], [\"Did I read on 2022/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18795\", \"logical_representation\": [\"2022/06/02\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I watched a movie for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/02?\", \"53 minutes\"], [\"what did I watch on tv on 2022/06/02?\", \"a movie\"], [\"Did I watch tv on 2022/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/06\": {\"hobbies\": {\"eid\": \"e18179\", \"logical_representation\": [\"2022/06/06\", \"I spent time yoga on 2022/06/06 with Olivia.\", \"yoga\", \"Olivia\"], \"text_template_based\": \"I spent time yoga on 2022/06/06 with Olivia.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Olivia?\", \"2022/06/06\"], [\"On 2022/06/06, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2022/06/06?\", \"Olivia\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18807\", \"logical_representation\": [\"2022/06/06\", \"Layla, Kinsley\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I talked to Layla, Kinsley for 47 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley in the morning on 2022/06/06?\", \"47 minutes\"], [\"who did I talk to on 2022/06/06?\", \"Layla, Kinsley\"], [\"Did I talk to Layla, Kinsley on 2022/06/06?\", \"yes\"], [\"Did I talk to anyone on 2022/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18808\", \"logical_representation\": [\"2022/06/06\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I watched a tv series for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/06?\", \"40 minutes\"], [\"what did I watch on tv on 2022/06/06?\", \"a tv series\"], [\"Did I watch tv on 2022/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/09\": {\"grocery\": {\"eid\": \"e18180\", \"logical_representation\": [\"2022/06/09\", \"I bought some pears, orange juice, mango juice, shampoo, facial wash online.\", \"pears\", \"orange juice, mango juice\", \"shampoo, facial wash\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I bought some pears, orange juice, mango juice, shampoo, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/06/09?\", \"pears, orange juice, mango juice, and shampoo, facial wash\"], [\"what fruits did I buy online on 2022/06/09?\", \"pears\"], [\"what drinks did I buy online on 2022/06/09?\", \"orange juice, mango juice\"], [\"what toiletries did I buy online on 2022/06/09?\", \"shampoo, facial wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18815\", \"logical_representation\": [\"2022/06/09\", \"breakfast\", \"peanut-butter-jam\", \"Nora, Hazel, Layla, Nevaeh, Avery\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/06/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18816\", \"logical_representation\": [\"2022/06/09\", \"lunch\", \"fish and chips\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/06/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18817\", \"logical_representation\": [\"2022/06/09\", \"Piper, Avery, Rylee, Piper\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Piper, Avery, Rylee, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Rylee, Piper in the late afternoon on 2022/06/09?\", \"49 minutes\"], [\"who did I talk to on 2022/06/09?\", \"Piper, Avery, Rylee, Piper\"], [\"Did I talk to Piper, Avery, Rylee, Piper on 2022/06/09?\", \"yes\"], [\"Did I talk to anyone on 2022/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18818\", \"logical_representation\": [\"2022/06/09\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/06/09?\", \"36 minutes\"], [\"what did I read on 2022/06/09?\", \"social media\"], [\"Did I read on 2022/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/12\": {\"dating\": {\"eid\": \"e18181\", \"logical_representation\": [\"2022/06/12\", \"Eleanor\", \"a restaurant\"], \"text_template_based\": \"On 2022/06/12, I took Eleanor on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/06/12\", \"Eleanor\"], [\"where did I go for the date on 2022/06/12\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18827\", \"logical_representation\": [\"2022/06/12\", \"dinner\", \"sandwich\", \"Lydia, Eva, Avery, Rylee, Piper, Layla\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/06/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18828\", \"logical_representation\": [\"2022/06/12\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/12?\", \"37 minutes\"], [\"what did I watch on tv on 2022/06/12?\", \"news\"], [\"Did I watch tv on 2022/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/17\": {\"grocery\": {\"eid\": \"e18182\", \"logical_representation\": [\"2022/06/17\", \"I went grocery shopping. I bought some clementines, strawberries, apricots, tea, mango juice, mineral water, sports drinks, and toothbrush\", \"clementines, strawberries, apricots\", \"tea, mango juice, mineral water, sports drinks\", \"toothbrush\", \"Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some clementines, strawberries, apricots, tea, mango juice, mineral water, sports drinks, and toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/06/17?\", \"clementines, strawberries, apricots, tea, mango juice, mineral water, sports drinks, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2022/06/17?\", \"clementines, strawberries, apricots\"], [\"what drinks did I buy from the grocery store on 2022/06/17?\", \"tea, mango juice, mineral water, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2022/06/17?\", \"toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18847\", \"logical_representation\": [\"2022/06/17\", \"running\"], \"text_template_based\": \"I did running on 2022/06/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18848\", \"logical_representation\": [\"2022/06/17\", \"breakfast\", \"oatmeal\", \"Nevaeh, Eva, Rylee, Kinsley, Hazel, Piper, Avery, Nora, Layla, Claire, Olivia, Piper, Lydia\"], \"text_template_based\": \"I had breakfast with Nevaeh, Eva, Rylee, Kinsley, Hazel, Piper, Avery, Nora, Layla, Claire, Olivia, Piper, Lydia. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/06/17?\", \"Nevaeh, Eva, Rylee, Kinsley, Hazel, Piper, Avery, Nora, Layla, Claire, Olivia, Piper, Lydia\"], [\"what did I eat for breakfast on 2022/06/17\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18849\", \"logical_representation\": [\"2022/06/17\", \"lunch\", \"steak\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/06/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18850\", \"logical_representation\": [\"2022/06/17\", \"dinner\", \"a burger\", \"Willow\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/06/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18851\", \"logical_representation\": [\"2022/06/17\", \"Avery\", \"late in the evening\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2022/06/17?\", \"27 minutes\"], [\"who did I talk to on 2022/06/17?\", \"Avery\"], [\"Did I talk to Avery on 2022/06/17?\", \"yes\"], [\"Did I talk to anyone on 2022/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18852\", \"logical_representation\": [\"2022/06/17\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/17?\", \"32 minutes\"], [\"what did I watch on tv on 2022/06/17?\", \"a movie\"], [\"Did I watch tv on 2022/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/19\": {\"dating\": {\"eid\": \"e18183\", \"logical_representation\": [\"2022/06/19\", \"Scarlett\", \"a boba shop\"], \"text_template_based\": \"On 2022/06/19, I took Scarlett on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/06/19\", \"Scarlett\"], [\"where did I go for the date on 2022/06/19\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18855\", \"logical_representation\": [\"2022/06/19\", \"biking\"], \"text_template_based\": \"I did biking on 2022/06/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18856\", \"logical_representation\": [\"2022/06/19\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/19?\", \"53 minutes\"], [\"what did I watch on tv on 2022/06/19?\", \"a documentary\"], [\"Did I watch tv on 2022/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/21\": {\"hobbies\": {\"eid\": \"e18184\", \"logical_representation\": [\"2022/06/21\", \"I spent some time working out on 2022/06/21.\", \"working out\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I spent some time working out on 2022/06/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2022/06/21\"], [\"On 2022/06/21, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18859\", \"logical_representation\": [\"2022/06/21\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/06/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18860\", \"logical_representation\": [\"2022/06/21\", \"Rylee\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee late in the evening on 2022/06/21?\", \"40 minutes\"], [\"who did I talk to on 2022/06/21?\", \"Rylee\"], [\"Did I talk to Rylee on 2022/06/21?\", \"yes\"], [\"Did I talk to anyone on 2022/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18861\", \"logical_representation\": [\"2022/06/21\", \"Layla\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2022/06/21?\", \"45 minutes\"], [\"who did I talk to on 2022/06/21?\", \"Layla\"], [\"Did I talk to Layla on 2022/06/21?\", \"yes\"], [\"Did I talk to anyone on 2022/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18862\", \"logical_representation\": [\"2022/06/21\", \"a book\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/06/21?\", \"31 minutes\"], [\"what did I read on 2022/06/21?\", \"a book\"], [\"Did I read on 2022/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18863\", \"logical_representation\": [\"2022/06/21\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/21?\", \"50 minutes\"], [\"what did I watch on tv on 2022/06/21?\", \"a documentary\"], [\"Did I watch tv on 2022/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/24\": {\"grocery\": {\"eid\": \"e18185\", \"logical_representation\": [\"2022/06/24\", \"I bought some oranges, bananas, raspberries, peaches, soda, orange juice, body lotion, shampoo, toothpaste, toilet paper online.\", \"oranges, bananas, raspberries, peaches\", \"soda, orange juice\", \"body lotion, shampoo, toothpaste, toilet paper\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I bought some oranges, bananas, raspberries, peaches, soda, orange juice, body lotion, shampoo, toothpaste, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/06/24?\", \"oranges, bananas, raspberries, peaches, soda, orange juice, and body lotion, shampoo, toothpaste, toilet paper\"], [\"what fruits did I buy online on 2022/06/24?\", \"oranges, bananas, raspberries, peaches\"], [\"what drinks did I buy online on 2022/06/24?\", \"soda, orange juice\"], [\"what toiletries did I buy online on 2022/06/24?\", \"body lotion, shampoo, toothpaste, toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18867\", \"logical_representation\": [\"2022/06/24\", \"running\"], \"text_template_based\": \"I did running on 2022/06/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/24?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18868\", \"logical_representation\": [\"2022/06/24\", \"lunch\", \"chinese food\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/06/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18869\", \"logical_representation\": [\"2022/06/24\", \"dinner\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/06/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18870\", \"logical_representation\": [\"2022/06/24\", \"Piper, Nora, Piper\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Piper for 47 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Piper in the late afternoon on 2022/06/24?\", \"47 minutes\"], [\"who did I talk to on 2022/06/24?\", \"Piper, Nora, Piper\"], [\"Did I talk to Piper, Nora, Piper on 2022/06/24?\", \"yes\"], [\"Did I talk to anyone on 2022/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/26\": {\"cook\": {\"eid\": \"e18186\", \"logical_representation\": [\"2022/06/26\", \"I really enjoyed cooking chow mein, cheesy ham chowder on 2022/06/26 with Andrew, Kayden, Emily at my place\", \"cook\", \"chow mein, cheesy ham chowder\", \"Andrew, Kayden, Emily\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking chow mein, cheesy ham chowder on 2022/06/26 with Andrew, Kayden, Emily at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  chow mein, cheesy ham chowder with Andrew, Kayden, Emily?\", \"2022/06/26\"], [\"what did I  on 2022/06/26?\", \"chow mein, cheesy ham chowder\"], [\"who was I with when I  chow mein, cheesy ham chowder on 2022/06/26?\", \"Andrew, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18876\", \"logical_representation\": [\"2022/06/26\", \"breakfast\", \"cereals\", \"Andrew\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/06/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18877\", \"logical_representation\": [\"2022/06/26\", \"dinner\", \"sandwich\", \"Eva, Piper, Rylee, Nora, Claire\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/06/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18878\", \"logical_representation\": [\"2022/06/26\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/06/26?\", \"35 minutes\"], [\"what did I read on 2022/06/26?\", \"a book\"], [\"Did I read on 2022/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/25\": {\"hobbies\": {\"eid\": \"e18187\", \"logical_representation\": [\"2022/06/25\", \"I really enjoyed gardening on 2022/06/25\", \"gardening\", \"Olivia, Eva\"], \"text_template_based\": \"I really enjoyed gardening on 2022/06/25\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2022/06/25\"], [\"On 2022/06/25, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18871\", \"logical_representation\": [\"2022/06/25\", \"breakfast\", \"pancakes\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Emily, Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/06/25?\", \"Andrew, Emily, Carter\"], [\"what did I eat for breakfast on 2022/06/25\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18872\", \"logical_representation\": [\"2022/06/25\", \"dinner\", \"sandwich\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had dinner. 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I saw Nevaeh, Olivia, Kinsley, Avery, Layla, Eva at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/06/29?\", \"oranges, orange juice, guava juice, milk, and mouth wash, toilet paper, toothbrush\"], [\"what fruits did I buy from the grocery store on 2022/06/29?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2022/06/29?\", \"orange juice, guava juice, milk\"], [\"what toiletries did I buy from the grocery store on 2022/06/29?\", \"mouth wash, toilet paper, toothbrush\"], [\"who did I see at the grocery store on 2022/06/29?\", \"Nevaeh, Olivia, Kinsley, Avery, Layla, Eva\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18887\", \"logical_representation\": [\"2022/06/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/06/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18888\", \"logical_representation\": [\"2022/06/29\", \"breakfast\", \"cereals\", \"Andrew\"], \"text_template_based\": \"I had cereals for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/06/29?\", \"Andrew\"], [\"what did I eat for breakfast on 2022/06/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18889\", \"logical_representation\": [\"2022/06/29\", \"dinner\", \"pasta\", \"Avery, Rylee, Hazel, Lydia, Claire, Nevaeh, Olivia, Piper, Eva, Layla, Piper\"], \"text_template_based\": \"I had dinner with Avery, Rylee, Hazel, Lydia, Claire, Nevaeh, Olivia, Piper, Eva, Layla, Piper. 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\"logical_representation\": [\"2022/07/05\", \"Layla, Nevaeh\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Layla, Nevaeh for 50 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh in the late afternoon on 2022/07/05?\", \"50 minutes\"], [\"who did I talk to on 2022/07/05?\", \"Layla, Nevaeh\"], [\"Did I talk to Layla, Nevaeh on 2022/07/05?\", \"yes\"], [\"Did I talk to anyone on 2022/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18913\", \"logical_representation\": [\"2022/07/05\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/07/05?\", \"14 minutes\"], [\"what did I read on 2022/07/05?\", \"social media\"], [\"Did I read on 2022/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/12\": {\"bake\": {\"eid\": \"e18192\", \"logical_representation\": [\"2022/07/12\", \"I was baking lemon meringue cookies on 2022/07/12 with Kayden, Carter, Emily, Andrew at my place\", \"bake\", \"lemon meringue cookies\", \"Kayden, Carter, Emily, Andrew\", \"my place\"], \"text_template_based\": \"I was baking lemon meringue cookies on 2022/07/12 with Kayden, Carter, Emily, Andrew at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  lemon meringue cookies with Kayden, Carter, Emily, Andrew?\", \"2022/07/12\"], [\"what did I  on 2022/07/12?\", \"lemon meringue cookies\"], [\"who was I with when I  lemon meringue cookies on 2022/07/12?\", \"Kayden, Carter, Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18934\", \"logical_representation\": [\"2022/07/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/07/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18935\", \"logical_representation\": [\"2022/07/12\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/07/12?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2022/07/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18936\", \"logical_representation\": [\"2022/07/12\", \"dinner\", \"indian food\", \"Nora, Layla, Piper, Olivia, Hazel\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/07/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18937\", \"logical_representation\": [\"2022/07/12\", \"Hazel, Avery\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Hazel, Avery for 15 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery in the late afternoon on 2022/07/12?\", \"15 minutes\"], [\"who did I talk to on 2022/07/12?\", \"Hazel, Avery\"], [\"Did I talk to Hazel, Avery on 2022/07/12?\", \"yes\"], [\"Did I talk to anyone on 2022/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18938\", \"logical_representation\": [\"2022/07/12\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/07/12?\", \"11 minutes\"], [\"what did I read on 2022/07/12?\", \"social media\"], [\"Did I read on 2022/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18939\", \"logical_representation\": [\"2022/07/12\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I watched a documentary for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/12?\", \"35 minutes\"], [\"what did I watch on tv on 2022/07/12?\", \"a documentary\"], [\"Did I watch tv on 2022/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/10\": {\"grocery\": {\"eid\": \"e18193\", \"logical_representation\": [\"2022/07/10\", \"I bought some guava, orange juice, toilet paper, toothbrush online.\", \"guava\", \"orange juice\", \"toilet paper, toothbrush\", \"Kayden, Emily\"], \"text_template_based\": \"I bought some guava, orange juice, toilet paper, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/07/10?\", \"guava, orange juice, and toilet paper, toothbrush\"], [\"what fruits did I buy online on 2022/07/10?\", \"guava\"], [\"what drinks did I buy online on 2022/07/10?\", \"orange juice\"], [\"what toiletries did I buy online on 2022/07/10?\", \"toilet paper, toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e18928\", \"logical_representation\": [\"2022/07/10\", \"biking\"], \"text_template_based\": \"I did biking on 2022/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18929\", \"logical_representation\": [\"2022/07/10\", \"Layla, Eva, Olivia\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Layla, Eva, Olivia for 12 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Olivia in the early afternoon on 2022/07/10?\", \"12 minutes\"], [\"who did I talk to on 2022/07/10?\", \"Layla, Eva, Olivia\"], [\"Did I talk to Layla, Eva, Olivia on 2022/07/10?\", \"yes\"], [\"Did I talk to anyone on 2022/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18930\", \"logical_representation\": [\"2022/07/10\", \"Layla, Nora\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Layla, Nora for 25 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora in the late afternoon on 2022/07/10?\", \"25 minutes\"], [\"who did I talk to on 2022/07/10?\", \"Layla, Nora\"], [\"Did I talk to Layla, Nora on 2022/07/10?\", \"yes\"], [\"Did I talk to anyone on 2022/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18931\", \"logical_representation\": [\"2022/07/10\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/07/10?\", \"31 minutes\"], [\"what did I read on 2022/07/10?\", \"news\"], [\"Did I read on 2022/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/17\": {\"dating\": {\"eid\": \"e18194\", \"logical_representation\": [\"2022/07/17\", \"Lucas\", \"a park\"], \"text_template_based\": \"I went on a date with Lucas on 2022/07/17 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/07/17\", \"Lucas\"], [\"where did I go for the date on 2022/07/17\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e18195\", \"logical_representation\": [\"2022/07/17\", \"I went grocery shopping with Piper, Kinsley. I bought some apricots, raspberries, blackberries, watermelons, mineral water, and body lotion, mouth wash\", \"apricots, raspberries, blackberries, watermelons\", \"mineral water\", \"body lotion, mouth wash\", \"Piper, Kinsley\"], \"text_template_based\": \"I went grocery shopping with Piper, Kinsley. I bought some apricots, raspberries, blackberries, watermelons, mineral water, and body lotion, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/07/17?\", \"apricots, raspberries, blackberries, watermelons, mineral water, and body lotion, mouth wash\"], [\"what fruits did I buy from the grocery store on 2022/07/17?\", \"apricots, raspberries, blackberries, watermelons\"], [\"what drinks did I buy from the grocery store on 2022/07/17?\", \"mineral water\"], [\"what toiletries did I buy from the grocery store on 2022/07/17?\", \"body lotion, mouth wash\"], [\"who was with me at the grocery store on 2022/07/17?\", \"Piper, Kinsley\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18954\", \"logical_representation\": [\"2022/07/17\", \"Lydia\", \"in the early evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2022/07/17?\", \"45 minutes\"], [\"who did I talk to on 2022/07/17?\", \"Lydia\"], [\"Did I talk to Lydia on 2022/07/17?\", \"yes\"], [\"Did I talk to anyone on 2022/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18955\", \"logical_representation\": [\"2022/07/17\", \"a book\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/07/17?\", \"31 minutes\"], [\"what did I read on 2022/07/17?\", \"a book\"], [\"Did I read on 2022/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/23\": {\"dating\": {\"eid\": \"e18196\", \"logical_representation\": [\"2022/07/23\", \"Jordan\", \"a restaurant\"], \"text_template_based\": \"On 2022/07/23, I took Jordan on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/07/23\", \"Jordan\"], [\"where did I go for the date on 2022/07/23\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18973\", \"logical_representation\": [\"2022/07/23\", \"Rylee, Nevaeh, Hazel, Kinsley\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh, Hazel, Kinsley for 54 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Hazel, Kinsley during lunch hours on 2022/07/23?\", \"54 minutes\"], [\"who did I talk to on 2022/07/23?\", \"Rylee, Nevaeh, Hazel, Kinsley\"], [\"Did I talk to Rylee, Nevaeh, Hazel, Kinsley on 2022/07/23?\", \"yes\"], [\"Did I talk to anyone on 2022/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18974\", \"logical_representation\": [\"2022/07/23\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/07/23?\", \"50 minutes\"], [\"what did I read on 2022/07/23?\", \"social media\"], [\"Did I read on 2022/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/27\": {\"dating\": {\"eid\": \"e18197\", \"logical_representation\": [\"2022/07/27\", \"Piper\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Piper on 2022/07/27 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/07/27\", \"Piper\"], [\"where did I go for the date on 2022/07/27\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e18198\", \"logical_representation\": [\"2022/07/27\", \"I bought some peaches, bananas, mineral water, guava juice, pineapple juice, mouthwash from the grocery store. I saw Benjamin, Willow, Jackson, Avery at the grocery store.\", \"peaches, bananas\", \"mineral water, guava juice, pineapple juice\", \"mouthwash\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I bought some peaches, bananas, mineral water, guava juice, pineapple juice, mouthwash from the grocery store. I saw Benjamin, Willow, Jackson, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/07/27?\", \"peaches, bananas, mineral water, guava juice, pineapple juice, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2022/07/27?\", \"peaches, bananas\"], [\"what drinks did I buy from the grocery store on 2022/07/27?\", \"mineral water, guava juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2022/07/27?\", \"mouthwash\"], [\"who did I see at the grocery store on 2022/07/27?\", \"Benjamin, Willow, Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18989\", \"logical_representation\": [\"2022/07/27\", \"dinner\", \"a burger\", \"Avery, Claire, Nevaeh, Layla\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/07/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18990\", \"logical_representation\": [\"2022/07/27\", \"Nevaeh, Piper\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Nevaeh, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper in the late afternoon on 2022/07/27?\", \"41 minutes\"], [\"who did I talk to on 2022/07/27?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2022/07/27?\", \"yes\"], [\"Did I talk to anyone on 2022/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18991\", \"logical_representation\": [\"2022/07/27\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I watched a movie for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/27?\", \"26 minutes\"], [\"what did I watch on tv on 2022/07/27?\", \"a movie\"], [\"Did I watch tv on 2022/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/05\": {\"hobbies\": {\"eid\": \"e18199\", \"logical_representation\": [\"2022/08/05\", \"I spent time meditation on 2022/08/05 with Andrew, Emily.\", \"meditation\", \"Andrew, Emily\"], \"text_template_based\": \"I spent time meditation on 2022/08/05 with Andrew, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Andrew, Emily?\", \"2022/08/05\"], [\"On 2022/08/05, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2022/08/05?\", \"Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19025\", \"logical_representation\": [\"2022/08/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/08/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19026\", \"logical_representation\": [\"2022/08/05\", \"lunch\", \"steak\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had steak for lunch with Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/08/05?\", \"Carter, Kayden, Emily\"], [\"what did I eat for lunch on 2022/08/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19027\", \"logical_representation\": [\"2022/08/05\", \"dinner\", \"sandwich\", \"Kayden, Andrew\"], \"text_template_based\": \"I had sandwich for dinner with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/08/05?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2022/08/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19028\", \"logical_representation\": [\"2022/08/05\", \"Lydia, Rylee, Piper, Avery\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee, Piper, Avery for 38 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Piper, Avery during lunch hours on 2022/08/05?\", \"38 minutes\"], [\"who did I talk to on 2022/08/05?\", \"Lydia, Rylee, Piper, Avery\"], [\"Did I talk to Lydia, Rylee, Piper, Avery on 2022/08/05?\", \"yes\"], [\"Did I talk to anyone on 2022/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19029\", \"logical_representation\": [\"2022/08/05\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/08/05?\", \"15 minutes\"], [\"what did I read on 2022/08/05?\", \"a book\"], [\"Did I read on 2022/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/09\": {\"dating\": {\"eid\": \"e18200\", \"logical_representation\": [\"2022/08/09\", \"Gianna\", \"a restaurant\"], \"text_template_based\": \"On 2022/08/09, I took Gianna on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/08/09\", \"Gianna\"], [\"where did I go for the date on 2022/08/09\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19042\", \"logical_representation\": [\"2022/08/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/08/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19043\", \"logical_representation\": [\"2022/08/09\", \"dinner\", \"sandwich\", \"Lydia, Olivia, Nora, Piper, Avery\"], \"text_template_based\": \"I had sandwich for dinner with Lydia, Olivia, Nora, Piper, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/08/09?\", \"Lydia, Olivia, Nora, Piper, Avery\"], [\"what did I eat for dinner on 2022/08/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19044\", \"logical_representation\": [\"2022/08/09\", \"Nora\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Nora for 43 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2022/08/09?\", \"43 minutes\"], [\"who did I talk to on 2022/08/09?\", \"Nora\"], [\"Did I talk to Nora on 2022/08/09?\", \"yes\"], [\"Did I talk to anyone on 2022/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/08\": {\"hobbies\": {\"eid\": \"e18201\", \"logical_representation\": [\"2022/08/08\", \"I spent some time working out on 2022/08/08.\", \"working out\", \"Carter\"], \"text_template_based\": \"I spent some time working out on 2022/08/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2022/08/08\"], [\"On 2022/08/08, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19039\", \"logical_representation\": [\"2022/08/08\", \"lunch\", \"sushi\", \"Claire, Piper, Kinsley, Hazel, Layla, Piper\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/08/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19040\", \"logical_representation\": [\"2022/08/08\", \"Claire, Rylee\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Claire, Rylee for 47 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee in the early evening on 2022/08/08?\", \"47 minutes\"], [\"who did I talk to on 2022/08/08?\", \"Claire, Rylee\"], [\"Did I talk to Claire, Rylee on 2022/08/08?\", \"yes\"], [\"Did I talk to anyone on 2022/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19041\", \"logical_representation\": [\"2022/08/08\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/08/08?\", \"30 minutes\"], [\"what did I read on 2022/08/08?\", \"news\"], [\"Did I read on 2022/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/11\": {\"grocery\": {\"eid\": \"e18202\", \"logical_representation\": [\"2022/08/11\", \"I went grocery shopping with Eva, Kinsley, Olivia, Avery, Piper, Rylee, Nora, Lydia, Claire, Nevaeh, Layla, Piper, Hazel. I bought some guava, bananas, sports drinks, chocolate milk, mineral water, soda, and toothpaste\", \"guava, bananas\", \"sports drinks, chocolate milk, mineral water, soda\", \"toothpaste\", \"Eva, Kinsley, Olivia, Avery, Piper, Rylee, Nora, Lydia, Claire, Nevaeh, Layla, Piper, Hazel\"], \"text_template_based\": \"I went grocery shopping with Eva, Kinsley, Olivia, Avery, Piper, Rylee, Nora, Lydia, Claire, Nevaeh, Layla, Piper, Hazel. I bought some guava, bananas, sports drinks, chocolate milk, mineral water, soda, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/08/11?\", \"guava, bananas, sports drinks, chocolate milk, mineral water, soda, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2022/08/11?\", \"guava, bananas\"], [\"what drinks did I buy from the grocery store on 2022/08/11?\", \"sports drinks, chocolate milk, mineral water, soda\"], [\"what toiletries did I buy from the grocery store on 2022/08/11?\", \"toothpaste\"], [\"who was with me at the grocery store on 2022/08/11?\", \"Eva, Kinsley, Olivia, Avery, Piper, Rylee, Nora, Lydia, Claire, Nevaeh, Layla, Piper, Hazel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19047\", \"logical_representation\": [\"2022/08/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/08/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19048\", \"logical_representation\": [\"2022/08/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19049\", \"logical_representation\": [\"2022/08/11\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/08/11?\", \"Emily\"], [\"what did I eat for lunch on 2022/08/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19050\", \"logical_representation\": [\"2022/08/11\", \"dinner\", \"steak\", \"Carter\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/08/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19051\", \"logical_representation\": [\"2022/08/11\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/08/11?\", \"24 minutes\"], [\"what did I read on 2022/08/11?\", \"news\"], [\"Did I read on 2022/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19052\", \"logical_representation\": [\"2022/08/11\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/11?\", \"28 minutes\"], [\"what did I watch on tv on 2022/08/11?\", \"a movie\"], [\"Did I watch tv on 2022/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/18\": {\"dating\": {\"eid\": \"e18203\", \"logical_representation\": [\"2022/08/18\", \"Josiah\", \"a park\"], \"text_template_based\": \"I went on a date with Josiah on 2022/08/18 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/08/18\", \"Josiah\"], [\"where did I go for the date on 2022/08/18\", \"a park\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19075\", \"logical_representation\": [\"2022/08/18\", \"lunch\", \"steak\", \"Piper, Nevaeh, Rylee, Avery, Lydia, Piper\"], \"text_template_based\": \"I had lunch with Piper, Nevaeh, Rylee, Avery, Lydia, Piper. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/08/18?\", \"Piper, Nevaeh, Rylee, Avery, Lydia, Piper\"], [\"what did I eat for lunch on 2022/08/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19076\", \"logical_representation\": [\"2022/08/18\", \"Piper, Rylee\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee for 48 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the early afternoon on 2022/08/18?\", \"48 minutes\"], [\"who did I talk to on 2022/08/18?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2022/08/18?\", \"yes\"], [\"Did I talk to anyone on 2022/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19077\", \"logical_representation\": [\"2022/08/18\", \"Layla\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2022/08/18?\", \"38 minutes\"], [\"who did I talk to on 2022/08/18?\", \"Layla\"], [\"Did I talk to Layla on 2022/08/18?\", \"yes\"], [\"Did I talk to anyone on 2022/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19078\", \"logical_representation\": [\"2022/08/18\", \"news\", \"26 minutes\"], \"text_template_based\": \"I watched news for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/18?\", \"26 minutes\"], [\"what did I watch on tv on 2022/08/18?\", \"news\"], [\"Did I watch tv on 2022/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/22\": {\"dating\": {\"eid\": \"e18204\", \"logical_representation\": [\"2022/08/22\", \"Josiah\", \"a park\"], \"text_template_based\": \"On 2022/08/22, I took Josiah on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/08/22\", \"Josiah\"], [\"where did I go for the date on 2022/08/22\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e18206\", \"logical_representation\": [\"2022/08/22\", \"I really enjoyed learning a language on 2022/08/22\", \"learning a language\", \"Rylee\"], \"text_template_based\": \"I really enjoyed learning a language on 2022/08/22\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2022/08/22\"], [\"On 2022/08/22, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19087\", \"logical_representation\": [\"2022/08/22\", \"lunch\", \"pasta\", \"Piper, Piper, Nevaeh, Eva, Nora, Kinsley, Lydia, Avery\"], \"text_template_based\": \"I had lunch with Piper, Piper, Nevaeh, Eva, Nora, Kinsley, Lydia, Avery. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/08/22?\", \"Piper, Piper, Nevaeh, Eva, Nora, Kinsley, Lydia, Avery\"], [\"what did I eat for lunch on 2022/08/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19088\", \"logical_representation\": [\"2022/08/22\", \"Piper, Avery, Nora, Piper\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Nora, Piper for 30 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Nora, Piper in the late afternoon on 2022/08/22?\", \"30 minutes\"], [\"who did I talk to on 2022/08/22?\", \"Piper, Avery, Nora, Piper\"], [\"Did I talk to Piper, Avery, Nora, Piper on 2022/08/22?\", \"yes\"], [\"Did I talk to anyone on 2022/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19089\", \"logical_representation\": [\"2022/08/22\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/08/22?\", \"28 minutes\"], [\"what did I read on 2022/08/22?\", \"social media\"], [\"Did I read on 2022/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/26\": {\"dating\": {\"eid\": \"e18205\", \"logical_representation\": [\"2022/08/26\", \"Austin\", \"a park\"], \"text_template_based\": \"I went on a date with Austin on 2022/08/26 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/08/26\", \"Austin\"], [\"where did I go for the date on 2022/08/26\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19102\", \"logical_representation\": [\"2022/08/26\", \"running\"], \"text_template_based\": \"I did running on 2022/08/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19103\", \"logical_representation\": [\"2022/08/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19104\", \"logical_representation\": [\"2022/08/26\", \"Nora, Avery\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Nora, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery in the early evening on 2022/08/26?\", \"17 minutes\"], [\"who did I talk to on 2022/08/26?\", \"Nora, Avery\"], [\"Did I talk to Nora, Avery on 2022/08/26?\", \"yes\"], [\"Did I talk to anyone on 2022/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19105\", \"logical_representation\": [\"2022/08/26\", \"a movie\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/26?\", \"38 minutes\"], [\"what did I watch on tv on 2022/08/26?\", \"a movie\"], [\"Did I watch tv on 2022/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/24\": {\"hobbies\": {\"eid\": \"e18207\", \"logical_representation\": [\"2022/08/24\", \"I spent some time yoga on 2022/08/24.\", \"yoga\", \"Kayden, Carter\"], \"text_template_based\": \"I spent some time yoga on 2022/08/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2022/08/24\"], [\"On 2022/08/24, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19095\", \"logical_representation\": [\"2022/08/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/08/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19096\", \"logical_representation\": [\"2022/08/24\", \"dinner\", \"a burger\", \"Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/08/24\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19097\", \"logical_representation\": [\"2022/08/24\", \"Avery, Nora, Rylee\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Avery, Nora, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora, Rylee in the late afternoon on 2022/08/24?\", \"41 minutes\"], [\"who did I talk to on 2022/08/24?\", \"Avery, Nora, Rylee\"], [\"Did I talk to Avery, Nora, Rylee on 2022/08/24?\", \"yes\"], [\"Did I talk to anyone on 2022/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19098\", \"logical_representation\": [\"2022/08/24\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/08/24?\", \"36 minutes\"], [\"what did I read on 2022/08/24?\", \"a book\"], [\"Did I read on 2022/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/23\": {\"grocery\": {\"eid\": \"e18208\", \"logical_representation\": [\"2022/08/23\", \"I bought some bananas, pineapples, coffee, milk, sports drinks, guava juice, paper towel, shampoo from the grocery store. I saw Piper, Avery, Olivia, Lydia, Eva, Hazel, Rylee, Nora, Kinsley, Claire, Layla, Nevaeh, Piper at the grocery store.\", \"bananas, pineapples\", \"coffee, milk, sports drinks, guava juice\", \"paper towel, shampoo\", \"Piper, Avery, Olivia, Lydia, Eva, Hazel, Rylee, Nora, Kinsley, Claire, Layla, Nevaeh, Piper\"], \"text_template_based\": \"I bought some bananas, pineapples, coffee, milk, sports drinks, guava juice, paper towel, shampoo from the grocery store. I saw Piper, Avery, Olivia, Lydia, Eva, Hazel, Rylee, Nora, Kinsley, Claire, Layla, Nevaeh, Piper at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/08/23?\", \"bananas, pineapples, coffee, milk, sports drinks, guava juice, and paper towel, shampoo\"], [\"what fruits did I buy from the grocery store on 2022/08/23?\", \"bananas, pineapples\"], [\"what drinks did I buy from the grocery store on 2022/08/23?\", \"coffee, milk, sports drinks, guava juice\"], [\"what toiletries did I buy from the grocery store on 2022/08/23?\", \"paper towel, shampoo\"], [\"who did I see at the grocery store on 2022/08/23?\", \"Piper, Avery, Olivia, Lydia, Eva, Hazel, Rylee, Nora, Kinsley, Claire, Layla, Nevaeh, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19090\", \"logical_representation\": [\"2022/08/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/08/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19091\", \"logical_representation\": [\"2022/08/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Lydia\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19092\", \"logical_representation\": [\"2022/08/23\", \"Eva, Rylee\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee for 40 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee in the early evening on 2022/08/23?\", \"40 minutes\"], [\"who did I talk to on 2022/08/23?\", \"Eva, Rylee\"], [\"Did I talk to Eva, Rylee on 2022/08/23?\", \"yes\"], [\"Did I talk to anyone on 2022/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19093\", \"logical_representation\": [\"2022/08/23\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/08/23?\", \"25 minutes\"], [\"what did I read on 2022/08/23?\", \"news\"], [\"Did I read on 2022/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19094\", \"logical_representation\": [\"2022/08/23\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I watched a tv series for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/23?\", \"48 minutes\"], [\"what did I watch on tv on 2022/08/23?\", \"a tv series\"], [\"Did I watch tv on 2022/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/31\": {\"dating\": {\"eid\": \"e18210\", \"logical_representation\": [\"2022/08/31\", \"Ian\", \"a coffee Shop\"], \"text_template_based\": \"On 2022/08/31, I took Ian on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/08/31\", \"Ian\"], [\"where did I go for the date on 2022/08/31\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19128\", \"logical_representation\": [\"2022/08/31\", \"lunch\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I had sushi for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/08/31?\", \"Kayden\"], [\"what did I eat for lunch on 2022/08/31\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19129\", \"logical_representation\": [\"2022/08/31\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/08/31?\", \"Andrew\"], [\"what did I eat for dinner on 2022/08/31\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19130\", \"logical_representation\": [\"2022/08/31\", \"Olivia, Avery, Hazel\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Olivia, Avery, Hazel for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Hazel in the early evening on 2022/08/31?\", \"39 minutes\"], [\"who did I talk to on 2022/08/31?\", \"Olivia, Avery, Hazel\"], [\"Did I talk to Olivia, Avery, Hazel on 2022/08/31?\", \"yes\"], [\"Did I talk to anyone on 2022/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/02\": {\"hobbies\": {\"eid\": \"e18211\", \"logical_representation\": [\"2022/09/02\", \"I spent some time gardening on 2022/09/02.\", \"gardening\", \"Willow, Benjamin\"], \"text_template_based\": \"I spent some time gardening on 2022/09/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2022/09/02\"], [\"On 2022/09/02, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19138\", \"logical_representation\": [\"2022/09/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/09/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19139\", \"logical_representation\": [\"2022/09/02\", \"lunch\", \"indian food\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/02?\", \"Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2022/09/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19140\", \"logical_representation\": [\"2022/09/02\", \"dinner\", \"a burger\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/09/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19141\", \"logical_representation\": [\"2022/09/02\", \"Avery, Kinsley, Olivia, Hazel\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I talked to Avery, Kinsley, Olivia, Hazel for 48 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley, Olivia, Hazel during lunch hours on 2022/09/02?\", \"48 minutes\"], [\"who did I talk to on 2022/09/02?\", \"Avery, Kinsley, Olivia, Hazel\"], [\"Did I talk to Avery, Kinsley, Olivia, Hazel on 2022/09/02?\", \"yes\"], [\"Did I talk to anyone on 2022/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19142\", \"logical_representation\": [\"2022/09/02\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/09/02?\", \"26 minutes\"], [\"what did I read on 2022/09/02?\", \"social media\"], [\"Did I read on 2022/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19143\", \"logical_representation\": [\"2022/09/02\", \"news\", \"51 minutes\"], \"text_template_based\": \"I watched news for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/02?\", \"51 minutes\"], [\"what did I watch on tv on 2022/09/02?\", \"news\"], [\"Did I watch tv on 2022/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/27\": {\"grocery\": {\"eid\": \"e18212\", \"logical_representation\": [\"2022/08/27\", \"I bought some cherres, apricots, apple juice, mango juice, guava juice, milk, conditioner, toilet paper, shampoo from the grocery store. I saw Rylee, Lydia, Claire, Eva, Kinsley at the grocery store.\", \"cherres, apricots\", \"apple juice, mango juice, guava juice, milk\", \"conditioner, toilet paper, shampoo\", \"Rylee, Lydia, Claire, Eva, Kinsley\"], \"text_template_based\": \"I bought some cherres, apricots, apple juice, mango juice, guava juice, milk, conditioner, toilet paper, shampoo from the grocery store. I saw Rylee, Lydia, Claire, Eva, Kinsley at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/08/27?\", \"cherres, apricots, apple juice, mango juice, guava juice, milk, and conditioner, toilet paper, shampoo\"], [\"what fruits did I buy from the grocery store on 2022/08/27?\", \"cherres, apricots\"], [\"what drinks did I buy from the grocery store on 2022/08/27?\", \"apple juice, mango juice, guava juice, milk\"], [\"what toiletries did I buy from the grocery store on 2022/08/27?\", \"conditioner, toilet paper, shampoo\"], [\"who did I see at the grocery store on 2022/08/27?\", \"Rylee, Lydia, Claire, Eva, Kinsley\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19106\", \"logical_representation\": [\"2022/08/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/08/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19107\", \"logical_representation\": [\"2022/08/27\", \"Nora\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2022/08/27?\", \"9 minutes\"], [\"who did I talk to on 2022/08/27?\", \"Nora\"], [\"Did I talk to Nora on 2022/08/27?\", \"yes\"], [\"Did I talk to anyone on 2022/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19108\", \"logical_representation\": [\"2022/08/27\", \"Nevaeh, Layla, Claire\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Layla, Claire for 35 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Claire during lunch hours on 2022/08/27?\", \"35 minutes\"], [\"who did I talk to on 2022/08/27?\", \"Nevaeh, Layla, Claire\"], [\"Did I talk to Nevaeh, Layla, Claire on 2022/08/27?\", \"yes\"], [\"Did I talk to anyone on 2022/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19109\", \"logical_representation\": [\"2022/08/27\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/08/27?\", \"11 minutes\"], [\"what did I read on 2022/08/27?\", \"social media\"], [\"Did I read on 2022/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19110\", \"logical_representation\": [\"2022/08/27\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/27?\", \"35 minutes\"], [\"what did I watch on tv on 2022/08/27?\", \"a tv series\"], [\"Did I watch tv on 2022/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/30\": {\"grocery\": {\"eid\": \"e18213\", \"logical_representation\": [\"2022/08/30\", \"I went grocery shopping. I bought some bananas, chocolate milk, apple juice, milk, soda, and facial wash\", \"bananas\", \"chocolate milk, apple juice, milk, soda\", \"facial wash\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, chocolate milk, apple juice, milk, soda, and facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/08/30?\", \"bananas, chocolate milk, apple juice, milk, soda, and facial wash\"], [\"what fruits did I buy from the grocery store on 2022/08/30?\", \"bananas\"], [\"what drinks did I buy from the grocery store on 2022/08/30?\", \"chocolate milk, apple juice, milk, soda\"], [\"what toiletries did I buy from the grocery store on 2022/08/30?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19121\", \"logical_representation\": [\"2022/08/30\", \"biking\"], \"text_template_based\": \"I did biking on 2022/08/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19122\", \"logical_representation\": [\"2022/08/30\", \"breakfast\", \"oatmeal\", \"Nora, Kinsley\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/30\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19123\", \"logical_representation\": [\"2022/08/30\", \"lunch\", \"indian food\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had indian food for lunch with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/08/30?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2022/08/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19124\", \"logical_representation\": [\"2022/08/30\", \"dinner\", \"a burger\", \"Avery\"], \"text_template_based\": \"I had a burger for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/08/30?\", \"Avery\"], [\"what did I eat for dinner on 2022/08/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19125\", \"logical_representation\": [\"2022/08/30\", \"Piper, Nevaeh, Lydia\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Lydia for 15 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Lydia in the early afternoon on 2022/08/30?\", \"15 minutes\"], [\"who did I talk to on 2022/08/30?\", \"Piper, Nevaeh, Lydia\"], [\"Did I talk to Piper, Nevaeh, Lydia on 2022/08/30?\", \"yes\"], [\"Did I talk to anyone on 2022/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19126\", \"logical_representation\": [\"2022/08/30\", \"Piper\", \"late in the evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2022/08/30?\", \"19 minutes\"], [\"who did I talk to on 2022/08/30?\", \"Piper\"], [\"Did I talk to Piper on 2022/08/30?\", \"yes\"], [\"Did I talk to anyone on 2022/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19127\", \"logical_representation\": [\"2022/08/30\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/08/30?\", \"41 minutes\"], [\"what did I read on 2022/08/30?\", \"a book\"], [\"Did I read on 2022/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/08\": {\"hobbies\": {\"eid\": \"e18214\", \"logical_representation\": [\"2022/09/08\", \"I spent time yoga on 2022/09/08 with Layla.\", \"yoga\", \"Layla\"], \"text_template_based\": \"I spent time yoga on 2022/09/08 with Layla.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Layla?\", \"2022/09/08\"], [\"On 2022/09/08, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2022/09/08?\", \"Layla\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e18216\", \"logical_representation\": [\"2022/09/08\", \"I went grocery shopping. I bought some watermelons, strawberries, clementines, apples, mineral water, sports drinks, chocolate milk, and shaving cream, mouthwash, toothbrush\", \"watermelons, strawberries, clementines, apples\", \"mineral water, sports drinks, chocolate milk\", \"shaving cream, mouthwash, toothbrush\", \"Eva, Avery, Lydia\"], \"text_template_based\": \"I went grocery shopping. I bought some watermelons, strawberries, clementines, apples, mineral water, sports drinks, chocolate milk, and shaving cream, mouthwash, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/09/08?\", \"watermelons, strawberries, clementines, apples, mineral water, sports drinks, chocolate milk, and shaving cream, mouthwash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2022/09/08?\", \"watermelons, strawberries, clementines, apples\"], [\"what drinks did I buy from the grocery store on 2022/09/08?\", \"mineral water, sports drinks, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2022/09/08?\", \"shaving cream, mouthwash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19165\", \"logical_representation\": [\"2022/09/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/09/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19166\", \"logical_representation\": [\"2022/09/08\", \"lunch\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had indian food for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/08?\", \"Andrew\"], [\"what did I eat for lunch on 2022/09/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19167\", \"logical_representation\": [\"2022/09/08\", \"Piper\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2022/09/08?\", \"46 minutes\"], [\"who did I talk to on 2022/09/08?\", \"Piper\"], [\"Did I talk to Piper on 2022/09/08?\", \"yes\"], [\"Did I talk to anyone on 2022/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19168\", \"logical_representation\": [\"2022/09/08\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/09/08?\", \"25 minutes\"], [\"what did I read on 2022/09/08?\", \"social media\"], [\"Did I read on 2022/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19169\", \"logical_representation\": [\"2022/09/08\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/08?\", \"44 minutes\"], [\"what did I watch on tv on 2022/09/08?\", \"a documentary\"], [\"Did I watch tv on 2022/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/05\": {\"grocery\": {\"eid\": \"e18215\", \"logical_representation\": [\"2022/09/05\", \"I went grocery shopping. I bought some apricots, apples, pineapples, nectarines, soda, pineapple juice, and mouth wash\", \"apricots, apples, pineapples, nectarines\", \"soda, pineapple juice\", \"mouth wash\", \"Kinsley, Nora, Claire, Eva, Avery, Layla\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, apples, pineapples, nectarines, soda, pineapple juice, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/09/05?\", \"apricots, apples, pineapples, nectarines, soda, pineapple juice, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2022/09/05?\", \"apricots, apples, pineapples, nectarines\"], [\"what drinks did I buy from the grocery store on 2022/09/05?\", \"soda, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2022/09/05?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19150\", \"logical_representation\": [\"2022/09/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/09/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19151\", \"logical_representation\": [\"2022/09/05\", \"breakfast\", \"pancakes\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Emily, Carter, Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/09/05?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for breakfast on 2022/09/05\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19152\", \"logical_representation\": [\"2022/09/05\", \"lunch\", \"fish and chips\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19153\", \"logical_representation\": [\"2022/09/05\", \"dinner\", \"fish and chips\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had fish and chips for dinner with Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/09/05?\", \"Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2022/09/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19154\", \"logical_representation\": [\"2022/09/05\", \"Hazel, Kinsley\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Hazel, Kinsley for 17 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley late in the evening on 2022/09/05?\", \"17 minutes\"], [\"who did I talk to on 2022/09/05?\", \"Hazel, Kinsley\"], [\"Did I talk to Hazel, Kinsley on 2022/09/05?\", \"yes\"], [\"Did I talk to anyone on 2022/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/13\": {\"dating\": {\"eid\": \"e18217\", \"logical_representation\": [\"2022/09/13\", \"Ellie\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Ellie on 2022/09/13 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/09/13\", \"Ellie\"], [\"where did I go for the date on 2022/09/13\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19187\", \"logical_representation\": [\"2022/09/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/09/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19188\", \"logical_representation\": [\"2022/09/13\", \"breakfast\", \"cereals\", \"Eva, Piper, Piper, Lydia, Layla, Rylee, Hazel, Nora, Avery, Olivia\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19189\", \"logical_representation\": [\"2022/09/13\", \"lunch\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19190\", \"logical_representation\": [\"2022/09/13\", \"Piper, Eva, Nevaeh\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Nevaeh for 38 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Nevaeh in the morning on 2022/09/13?\", \"38 minutes\"], [\"who did I talk to on 2022/09/13?\", \"Piper, Eva, Nevaeh\"], [\"Did I talk to Piper, Eva, Nevaeh on 2022/09/13?\", \"yes\"], [\"Did I talk to anyone on 2022/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/12\": {\"hobbies\": {\"eid\": \"e18218\", \"logical_representation\": [\"2022/09/12\", \"I really enjoyed gardening on 2022/09/12\", \"gardening\", \"Emily, Carter\"], \"text_template_based\": \"I really enjoyed gardening on 2022/09/12\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2022/09/12\"], [\"On 2022/09/12, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19184\", \"logical_representation\": [\"2022/09/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/09/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19185\", \"logical_representation\": [\"2022/09/12\", \"lunch\", \"fish and chips\", \"Piper, Eva, Avery, Hazel, Nevaeh, Claire, Layla\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19186\", \"logical_representation\": [\"2022/09/12\", \"Olivia, Layla\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Olivia, Layla for 6 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla in the early afternoon on 2022/09/12?\", \"6 minutes\"], [\"who did I talk to on 2022/09/12?\", \"Olivia, Layla\"], [\"Did I talk to Olivia, Layla on 2022/09/12?\", \"yes\"], [\"Did I talk to anyone on 2022/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/23\": {\"hobbies\": {\"eid\": \"e18219\", \"logical_representation\": [\"2022/09/23\", \"I spent some time meditation on 2022/09/23.\", \"meditation\", \"Jackson\"], \"text_template_based\": \"I spent some time meditation on 2022/09/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2022/09/23\"], [\"On 2022/09/23, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e18221\", \"logical_representation\": [\"2022/09/23\", \"I bought some nectarines, watermelons, mango juice, mouthwash, body lotion, conditioner, toothbrush online.\", \"nectarines, watermelons\", \"mango juice\", \"mouthwash, body lotion, conditioner, toothbrush\", \"Emily, Kayden\"], \"text_template_based\": \"I bought some nectarines, watermelons, mango juice, mouthwash, body lotion, conditioner, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/09/23?\", \"nectarines, watermelons, mango juice, and mouthwash, body lotion, conditioner, toothbrush\"], [\"what fruits did I buy online on 2022/09/23?\", \"nectarines, watermelons\"], [\"what drinks did I buy online on 2022/09/23?\", \"mango juice\"], [\"what toiletries did I buy online on 2022/09/23?\", \"mouthwash, body lotion, conditioner, toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19221\", \"logical_representation\": [\"2022/09/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/09/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19222\", \"logical_representation\": [\"2022/09/23\", \"breakfast\", \"cereals\", \"Jackson\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19223\", \"logical_representation\": [\"2022/09/23\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/09/23?\", \"22 minutes\"], [\"what did I read on 2022/09/23?\", \"a book\"], [\"Did I read on 2022/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19224\", \"logical_representation\": [\"2022/09/23\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/23?\", \"39 minutes\"], [\"what did I watch on tv on 2022/09/23?\", \"news\"], [\"Did I watch tv on 2022/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/19\": {\"grocery\": {\"eid\": \"e18220\", \"logical_representation\": [\"2022/09/19\", \"I bought some cherres, guava, pears, clementines, soda, tea, toilet paper online.\", \"cherres, guava, pears, clementines\", \"soda, tea\", \"toilet paper\", \"Hazel, Piper, Nora, Avery, Piper, Olivia, Layla, Lydia, Kinsley, Eva, Rylee, Nevaeh\"], \"text_template_based\": \"I bought some cherres, guava, pears, clementines, soda, tea, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/09/19?\", \"cherres, guava, pears, clementines, soda, tea, and toilet paper\"], [\"what fruits did I buy online on 2022/09/19?\", \"cherres, guava, pears, clementines\"], [\"what drinks did I buy online on 2022/09/19?\", \"soda, tea\"], [\"what toiletries did I buy online on 2022/09/19?\", \"toilet paper\"]], \"multihop_qa_pairs\": []}}, \"2022/09/29\": {\"hobbies\": {\"eid\": \"e18222\", \"logical_representation\": [\"2022/09/29\", \"I spent time working out on 2022/09/29 with Carter.\", \"working out\", \"Carter\"], \"text_template_based\": \"I spent time working out on 2022/09/29 with Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Carter?\", \"2022/09/29\"], [\"On 2022/09/29, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2022/09/29?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19245\", \"logical_representation\": [\"2022/09/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/09/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19246\", \"logical_representation\": [\"2022/09/29\", \"lunch\", \"pasta\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19247\", \"logical_representation\": [\"2022/09/29\", \"Piper, Eva, Rylee\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Piper, Eva, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Rylee during lunch hours on 2022/09/29?\", \"14 minutes\"], [\"who did I talk to on 2022/09/29?\", \"Piper, Eva, Rylee\"], [\"Did I talk to Piper, Eva, Rylee on 2022/09/29?\", \"yes\"], [\"Did I talk to anyone on 2022/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19248\", \"logical_representation\": [\"2022/09/29\", \"Olivia, Layla, Lydia, Hazel\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Olivia, Layla, Lydia, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Lydia, Hazel in the late afternoon on 2022/09/29?\", \"29 minutes\"], [\"who did I talk to on 2022/09/29?\", \"Olivia, Layla, Lydia, Hazel\"], [\"Did I talk to Olivia, Layla, Lydia, Hazel on 2022/09/29?\", \"yes\"], [\"Did I talk to anyone on 2022/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19249\", \"logical_representation\": [\"2022/09/29\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/29?\", \"28 minutes\"], [\"what did I watch on tv on 2022/09/29?\", \"news\"], [\"Did I watch tv on 2022/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/26\": {\"grocery\": {\"eid\": \"e18223\", \"logical_representation\": [\"2022/09/26\", \"I went grocery shopping with Avery, Jackson. I bought some mangos, pineapples, apricots, mandarins, mineral water, chocolate milk, tea, mango juice, and shaving cream\", \"mangos, pineapples, apricots, mandarins\", \"mineral water, chocolate milk, tea, mango juice\", \"shaving cream\", \"Avery, Jackson\"], \"text_template_based\": \"I went grocery shopping with Avery, Jackson. I bought some mangos, pineapples, apricots, mandarins, mineral water, chocolate milk, tea, mango juice, and shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/09/26?\", \"mangos, pineapples, apricots, mandarins, mineral water, chocolate milk, tea, mango juice, and shaving cream\"], [\"what fruits did I buy from the grocery store on 2022/09/26?\", \"mangos, pineapples, apricots, mandarins\"], [\"what drinks did I buy from the grocery store on 2022/09/26?\", \"mineral water, chocolate milk, tea, mango juice\"], [\"what toiletries did I buy from the grocery store on 2022/09/26?\", \"shaving cream\"], [\"who was with me at the grocery store on 2022/09/26?\", \"Avery, Jackson\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19232\", \"logical_representation\": [\"2022/09/26\", \"lunch\", \"a burger\", \"Kinsley, Hazel, Rylee, Olivia, Eva, Piper, Lydia\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19233\", \"logical_representation\": [\"2022/09/26\", \"dinner\", \"chinese food\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/09/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19234\", \"logical_representation\": [\"2022/09/26\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/09/26?\", \"33 minutes\"], [\"what did I read on 2022/09/26?\", \"news\"], [\"Did I read on 2022/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19235\", \"logical_representation\": [\"2022/09/26\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I watched a tv series for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/26?\", \"11 minutes\"], [\"what did I watch on tv on 2022/09/26?\", \"a tv series\"], [\"Did I watch tv on 2022/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/06\": {\"grocery\": {\"eid\": \"e18224\", \"logical_representation\": [\"2022/10/06\", \"I bought some oranges, pineapples, pears, blueberries, pineapple juice, toothbrush, mouth wash, body lotion, conditioner from the grocery store. I saw Willow, Benjamin, Jackson, Avery at the grocery store.\", \"oranges, pineapples, pears, blueberries\", \"pineapple juice\", \"toothbrush, mouth wash, body lotion, conditioner\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I bought some oranges, pineapples, pears, blueberries, pineapple juice, toothbrush, mouth wash, body lotion, conditioner from the grocery store. I saw Willow, Benjamin, Jackson, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/10/06?\", \"oranges, pineapples, pears, blueberries, pineapple juice, and toothbrush, mouth wash, body lotion, conditioner\"], [\"what fruits did I buy from the grocery store on 2022/10/06?\", \"oranges, pineapples, pears, blueberries\"], [\"what drinks did I buy from the grocery store on 2022/10/06?\", \"pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2022/10/06?\", \"toothbrush, mouth wash, body lotion, conditioner\"], [\"who did I see at the grocery store on 2022/10/06?\", \"Willow, Benjamin, Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19273\", \"logical_representation\": [\"2022/10/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/10/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19274\", \"logical_representation\": [\"2022/10/06\", \"lunch\", \"tacos\", \"Andrew, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/10/06?\", \"Andrew, Carter\"], [\"what did I eat for lunch on 2022/10/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19275\", \"logical_representation\": [\"2022/10/06\", \"Piper, Kinsley, Lydia\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Piper, Kinsley, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Lydia during lunch hours on 2022/10/06?\", \"48 minutes\"], [\"who did I talk to on 2022/10/06?\", \"Piper, Kinsley, Lydia\"], [\"Did I talk to Piper, Kinsley, Lydia on 2022/10/06?\", \"yes\"], [\"Did I talk to anyone on 2022/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19276\", \"logical_representation\": [\"2022/10/06\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/10/06?\", \"11 minutes\"], [\"what did I read on 2022/10/06?\", \"social media\"], [\"Did I read on 2022/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/09\": {\"bake\": {\"eid\": \"e18225\", \"logical_representation\": [\"2022/10/09\", \"I really enjoyed baking cranberry apple danish, cinnamon sheet cake with cider frosting on 2022/10/09 with Carter, Andrew, Emily at my place\", \"bake\", \"cranberry apple danish, cinnamon sheet cake with cider frosting\", \"Carter, Andrew, Emily\", \"my place\"], \"text_template_based\": \"I really enjoyed baking cranberry apple danish, cinnamon sheet cake with cider frosting on 2022/10/09 with Carter, Andrew, Emily at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  cranberry apple danish, cinnamon sheet cake with cider frosting with Carter, Andrew, Emily?\", \"2022/10/09\"], [\"what did I  on 2022/10/09?\", \"cranberry apple danish, cinnamon sheet cake with cider frosting\"], [\"who was I with when I  cranberry apple danish, cinnamon sheet cake with cider frosting on 2022/10/09?\", \"Carter, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19285\", \"logical_representation\": [\"2022/10/09\", \"biking\"], \"text_template_based\": \"I did biking on 2022/10/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19286\", \"logical_representation\": [\"2022/10/09\", \"breakfast\", \"oatmeal\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19287\", \"logical_representation\": [\"2022/10/09\", \"Hazel, Piper\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Hazel, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper in the early evening on 2022/10/09?\", \"38 minutes\"], [\"who did I talk to on 2022/10/09?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2022/10/09?\", \"yes\"], [\"Did I talk to anyone on 2022/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19288\", \"logical_representation\": [\"2022/10/09\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/10/09?\", \"17 minutes\"], [\"what did I read on 2022/10/09?\", \"news\"], [\"Did I read on 2022/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19289\", \"logical_representation\": [\"2022/10/09\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I watched a tv series for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/09?\", \"22 minutes\"], [\"what did I watch on tv on 2022/10/09?\", \"a tv series\"], [\"Did I watch tv on 2022/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/21\": {\"cook\": {\"eid\": \"e18226\", \"logical_representation\": [\"2022/10/21\", \"I was cooking creamed garden potatoes and peas, general tso\\u2019s chicken on 2022/10/21 with Piper, Kinsley, Layla, Piper at my place\", \"cook\", \"creamed garden potatoes and peas, general tso\\u2019s chicken\", \"Piper, Kinsley, Layla, Piper\", \"my place\"], \"text_template_based\": \"I was cooking creamed garden potatoes and peas, general tso\\u2019s chicken on 2022/10/21 with Piper, Kinsley, Layla, Piper at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  creamed garden potatoes and peas, general tso\\u2019s chicken with Piper, Kinsley, Layla, Piper?\", \"2022/10/21\"], [\"what did I  on 2022/10/21?\", \"creamed garden potatoes and peas, general tso\\u2019s chicken\"], [\"who was I with when I  creamed garden potatoes and peas, general tso\\u2019s chicken on 2022/10/21?\", \"Piper, Kinsley, Layla, Piper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19334\", \"logical_representation\": [\"2022/10/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19335\", \"logical_representation\": [\"2022/10/21\", \"Piper, Eva\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Piper, Eva for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva in the morning on 2022/10/21?\", \"32 minutes\"], [\"who did I talk to on 2022/10/21?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2022/10/21?\", \"yes\"], [\"Did I talk to anyone on 2022/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19336\", \"logical_representation\": [\"2022/10/21\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/10/21?\", \"49 minutes\"], [\"what did I read on 2022/10/21?\", \"social media\"], [\"Did I read on 2022/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/19\": {\"grocery\": {\"eid\": \"e18227\", \"logical_representation\": [\"2022/10/19\", \"I bought some strawberries, soda, pineapple juice, chocolate milk, shaving cream, toilet paper, mouthwash, shampoo from the grocery store. I saw Emily, Andrew, Carter at the grocery store.\", \"strawberries\", \"soda, pineapple juice, chocolate milk\", \"shaving cream, toilet paper, mouthwash, shampoo\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I bought some strawberries, soda, pineapple juice, chocolate milk, shaving cream, toilet paper, mouthwash, shampoo from the grocery store. I saw Emily, Andrew, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/10/19?\", \"strawberries, soda, pineapple juice, chocolate milk, and shaving cream, toilet paper, mouthwash, shampoo\"], [\"what fruits did I buy from the grocery store on 2022/10/19?\", \"strawberries\"], [\"what drinks did I buy from the grocery store on 2022/10/19?\", \"soda, pineapple juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2022/10/19?\", \"shaving cream, toilet paper, mouthwash, shampoo\"], [\"who did I see at the grocery store on 2022/10/19?\", \"Emily, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19326\", \"logical_representation\": [\"2022/10/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/10/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19327\", \"logical_representation\": [\"2022/10/19\", \"Rylee, Claire, Lydia, Piper\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Rylee, Claire, Lydia, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Lydia, Piper late in the evening on 2022/10/19?\", \"32 minutes\"], [\"who did I talk to on 2022/10/19?\", \"Rylee, Claire, Lydia, Piper\"], [\"Did I talk to Rylee, Claire, Lydia, Piper on 2022/10/19?\", \"yes\"], [\"Did I talk to anyone on 2022/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19328\", \"logical_representation\": [\"2022/10/19\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/10/19?\", \"46 minutes\"], [\"what did I read on 2022/10/19?\", \"a book\"], [\"Did I read on 2022/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19329\", \"logical_representation\": [\"2022/10/19\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/19?\", \"18 minutes\"], [\"what did I watch on tv on 2022/10/19?\", \"a tv series\"], [\"Did I watch tv on 2022/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/22\": {\"grocery\": {\"eid\": \"e18228\", \"logical_representation\": [\"2022/10/22\", \"I went grocery shopping. I bought some bananas, mandarins, apple juice, mineral water, sports drinks, soda, and facial wash, paper towel, shaving cream\", \"bananas, mandarins\", \"apple juice, mineral water, sports drinks, soda\", \"facial wash, paper towel, shaving cream\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, mandarins, apple juice, mineral water, sports drinks, soda, and facial wash, paper towel, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/10/22?\", \"bananas, mandarins, apple juice, mineral water, sports drinks, soda, and facial wash, paper towel, shaving cream\"], [\"what fruits did I buy from the grocery store on 2022/10/22?\", \"bananas, mandarins\"], [\"what drinks did I buy from the grocery store on 2022/10/22?\", \"apple juice, mineral water, sports drinks, soda\"], [\"what toiletries did I buy from the grocery store on 2022/10/22?\", \"facial wash, paper towel, shaving cream\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19337\", \"logical_representation\": [\"2022/10/22\", \"running\"], \"text_template_based\": \"I did running on 2022/10/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19338\", \"logical_representation\": [\"2022/10/22\", \"lunch\", \"a burger\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had a burger for lunch with Jackson, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/10/22?\", \"Jackson, Willow, Avery\"], [\"what did I eat for lunch on 2022/10/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19339\", \"logical_representation\": [\"2022/10/22\", \"Kinsley, Nevaeh, Olivia\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Kinsley, Nevaeh, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Olivia in the morning on 2022/10/22?\", \"38 minutes\"], [\"who did I talk to on 2022/10/22?\", \"Kinsley, Nevaeh, Olivia\"], [\"Did I talk to Kinsley, Nevaeh, Olivia on 2022/10/22?\", \"yes\"], [\"Did I talk to anyone on 2022/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19340\", \"logical_representation\": [\"2022/10/22\", \"Nora\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2022/10/22?\", \"30 minutes\"], [\"who did I talk to on 2022/10/22?\", \"Nora\"], [\"Did I talk to Nora on 2022/10/22?\", \"yes\"], [\"Did I talk to anyone on 2022/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19341\", \"logical_representation\": [\"2022/10/22\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/22?\", \"6 minutes\"], [\"what did I watch on tv on 2022/10/22?\", \"news\"], [\"Did I watch tv on 2022/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/25\": {\"grocery\": {\"eid\": \"e18229\", \"logical_representation\": [\"2022/10/25\", \"I bought some guava, clementines, cherres, blackberries, coffee, chocolate milk, mango juice, mineral water, shampoo online.\", \"guava, clementines, cherres, blackberries\", \"coffee, chocolate milk, mango juice, mineral water\", \"shampoo\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I bought some guava, clementines, cherres, blackberries, coffee, chocolate milk, mango juice, mineral water, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/10/25?\", \"guava, clementines, cherres, blackberries, coffee, chocolate milk, mango juice, mineral water, and shampoo\"], [\"what fruits did I buy online on 2022/10/25?\", \"guava, clementines, cherres, blackberries\"], [\"what drinks did I buy online on 2022/10/25?\", \"coffee, chocolate milk, mango juice, mineral water\"], [\"what toiletries did I buy online on 2022/10/25?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19349\", \"logical_representation\": [\"2022/10/25\", \"running\"], \"text_template_based\": \"I did running on 2022/10/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19350\", \"logical_representation\": [\"2022/10/25\", \"lunch\", \"sushi\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19351\", \"logical_representation\": [\"2022/10/25\", \"Kinsley, Piper\", \"in the late afternoon\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Kinsley, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the late afternoon on 2022/10/25?\", \"22 minutes\"], [\"who did I talk to on 2022/10/25?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2022/10/25?\", \"yes\"], [\"Did I talk to anyone on 2022/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19352\", \"logical_representation\": [\"2022/10/25\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/10/25?\", \"42 minutes\"], [\"what did I read on 2022/10/25?\", \"a book\"], [\"Did I read on 2022/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/04\": {\"dating\": {\"eid\": \"e18230\", \"logical_representation\": [\"2022/11/04\", \"Kinsley\", \"a park\"], \"text_template_based\": \"On 2022/11/04, I took Kinsley on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/11/04\", \"Kinsley\"], [\"where did I go for the date on 2022/11/04\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19388\", \"logical_representation\": [\"2022/11/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/11/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19389\", \"logical_representation\": [\"2022/11/04\", \"breakfast\", \"oatmeal\", \"Olivia, Piper\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19390\", \"logical_representation\": [\"2022/11/04\", \"lunch\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/11/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19391\", \"logical_representation\": [\"2022/11/04\", \"dinner\", \"indian food\", \"Andrew, Carter\"], \"text_template_based\": \"I had indian food for dinner with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/11/04?\", \"Andrew, Carter\"], [\"what did I eat for dinner on 2022/11/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19392\", \"logical_representation\": [\"2022/11/04\", \"Lydia, Kinsley, Piper, Nevaeh\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Lydia, Kinsley, Piper, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Piper, Nevaeh in the late afternoon on 2022/11/04?\", \"38 minutes\"], [\"who did I talk to on 2022/11/04?\", \"Lydia, Kinsley, Piper, Nevaeh\"], [\"Did I talk to Lydia, Kinsley, Piper, Nevaeh on 2022/11/04?\", \"yes\"], [\"Did I talk to anyone on 2022/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19393\", \"logical_representation\": [\"2022/11/04\", \"Avery\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Avery for 47 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2022/11/04?\", \"47 minutes\"], [\"who did I talk to on 2022/11/04?\", \"Avery\"], [\"Did I talk to Avery on 2022/11/04?\", \"yes\"], [\"Did I talk to anyone on 2022/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19394\", \"logical_representation\": [\"2022/11/04\", \"a documentary\", \"6 minutes\"], \"text_template_based\": \"I watched a documentary for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/04?\", \"6 minutes\"], [\"what did I watch on tv on 2022/11/04?\", \"a documentary\"], [\"Did I watch tv on 2022/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/29\": {\"grocery\": {\"eid\": \"e18231\", \"logical_representation\": [\"2022/10/29\", \"I bought some cherres, pears, chocolate milk, mouthwash, conditioner, paper towel, facial wash from the grocery store. I saw Kayden, Andrew, Carter, Emily at the grocery store.\", \"cherres, pears\", \"chocolate milk\", \"mouthwash, conditioner, paper towel, facial wash\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I bought some cherres, pears, chocolate milk, mouthwash, conditioner, paper towel, facial wash from the grocery store. I saw Kayden, Andrew, Carter, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/10/29?\", \"cherres, pears, chocolate milk, and mouthwash, conditioner, paper towel, facial wash\"], [\"what fruits did I buy from the grocery store on 2022/10/29?\", \"cherres, pears\"], [\"what drinks did I buy from the grocery store on 2022/10/29?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2022/10/29?\", \"mouthwash, conditioner, paper towel, facial wash\"], [\"who did I see at the grocery store on 2022/10/29?\", \"Kayden, Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19365\", \"logical_representation\": [\"2022/10/29\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/10/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/29?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19366\", \"logical_representation\": [\"2022/10/29\", \"breakfast\", \"cereals\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19367\", \"logical_representation\": [\"2022/10/29\", \"Piper\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Piper for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2022/10/29?\", \"18 minutes\"], [\"who did I talk to on 2022/10/29?\", \"Piper\"], [\"Did I talk to Piper on 2022/10/29?\", \"yes\"], [\"Did I talk to anyone on 2022/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19368\", \"logical_representation\": [\"2022/10/29\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/10/29?\", \"37 minutes\"], [\"what did I read on 2022/10/29?\", \"social media\"], [\"Did I read on 2022/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/02\": {\"grocery\": {\"eid\": \"e18232\", \"logical_representation\": [\"2022/11/02\", \"I bought some bananas, oranges, peaches, strawberries, milk, pineapple juice, sports drinks, toilet paper, shaving cream, shampoo online.\", \"bananas, oranges, peaches, strawberries\", \"milk, pineapple juice, sports drinks\", \"toilet paper, shaving cream, shampoo\", \"Eva, Claire, Piper, Rylee, Nevaeh, Avery, Piper\"], \"text_template_based\": \"I bought some bananas, oranges, peaches, strawberries, milk, pineapple juice, sports drinks, toilet paper, shaving cream, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/11/02?\", \"bananas, oranges, peaches, strawberries, milk, pineapple juice, sports drinks, and toilet paper, shaving cream, shampoo\"], [\"what fruits did I buy online on 2022/11/02?\", \"bananas, oranges, peaches, strawberries\"], [\"what drinks did I buy online on 2022/11/02?\", \"milk, pineapple juice, sports drinks\"], [\"what toiletries did I buy online on 2022/11/02?\", \"toilet paper, shaving cream, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19377\", \"logical_representation\": [\"2022/11/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/11/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19378\", \"logical_representation\": [\"2022/11/02\", \"breakfast\", \"pancakes\", \"Olivia, Kinsley, Lydia, Nevaeh, Hazel, Eva, Nora, Piper, Avery, Piper\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19379\", \"logical_representation\": [\"2022/11/02\", \"Piper, Rylee\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the early evening on 2022/11/02?\", \"39 minutes\"], [\"who did I talk to on 2022/11/02?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2022/11/02?\", \"yes\"], [\"Did I talk to anyone on 2022/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19380\", \"logical_representation\": [\"2022/11/02\", \"social media\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/11/02?\", \"15 minutes\"], [\"what did I read on 2022/11/02?\", \"social media\"], [\"Did I read on 2022/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19381\", \"logical_representation\": [\"2022/11/02\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/02?\", \"54 minutes\"], [\"what did I watch on tv on 2022/11/02?\", \"a tv series\"], [\"Did I watch tv on 2022/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/07\": {\"dating\": {\"eid\": \"e18233\", \"logical_representation\": [\"2022/11/07\", \"John\", \"a park\"], \"text_template_based\": \"I went on a date with John on 2022/11/07 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/11/07\", \"John\"], [\"where did I go for the date on 2022/11/07\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19403\", \"logical_representation\": [\"2022/11/07\", \"biking\"], \"text_template_based\": \"I did biking on 2022/11/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/07?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19404\", \"logical_representation\": [\"2022/11/07\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/11/07?\", \"Kayden\"], [\"what did I eat for breakfast on 2022/11/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19405\", \"logical_representation\": [\"2022/11/07\", \"Hazel, Nevaeh, Layla\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Hazel, Nevaeh, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh, Layla late in the evening on 2022/11/07?\", \"18 minutes\"], [\"who did I talk to on 2022/11/07?\", \"Hazel, Nevaeh, Layla\"], [\"Did I talk to Hazel, Nevaeh, Layla on 2022/11/07?\", \"yes\"], [\"Did I talk to anyone on 2022/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/06\": {\"grocery\": {\"eid\": \"e18234\", \"logical_representation\": [\"2022/11/06\", \"I bought some apricots, pears, blueberries, clementines, guava juice, apple juice, chocolate milk, mineral water, facial wash online.\", \"apricots, pears, blueberries, clementines\", \"guava juice, apple juice, chocolate milk, mineral water\", \"facial wash\", \"Hazel, Layla, Nevaeh, Olivia, Rylee, Claire, Avery\"], \"text_template_based\": \"I bought some apricots, pears, blueberries, clementines, guava juice, apple juice, chocolate milk, mineral water, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/11/06?\", \"apricots, pears, blueberries, clementines, guava juice, apple juice, chocolate milk, mineral water, and facial wash\"], [\"what fruits did I buy online on 2022/11/06?\", \"apricots, pears, blueberries, clementines\"], [\"what drinks did I buy online on 2022/11/06?\", \"guava juice, apple juice, chocolate milk, mineral water\"], [\"what toiletries did I buy online on 2022/11/06?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19399\", \"logical_representation\": [\"2022/11/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/11/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19400\", \"logical_representation\": [\"2022/11/06\", \"Rylee, Piper\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Rylee, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper in the early evening on 2022/11/06?\", \"40 minutes\"], [\"who did I talk to on 2022/11/06?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2022/11/06?\", \"yes\"], [\"Did I talk to anyone on 2022/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19401\", \"logical_representation\": [\"2022/11/06\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/11/06?\", \"36 minutes\"], [\"what did I read on 2022/11/06?\", \"social media\"], [\"Did I read on 2022/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19402\", \"logical_representation\": [\"2022/11/06\", \"news\", \"45 minutes\"], \"text_template_based\": \"I watched news for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/06?\", \"45 minutes\"], [\"what did I watch on tv on 2022/11/06?\", \"news\"], [\"Did I watch tv on 2022/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/11\": {\"grocery\": {\"eid\": \"e18235\", \"logical_representation\": [\"2022/11/11\", \"I bought some peaches, guava, strawberries, orange juice, pineapple juice, mango juice, shampoo, mouthwash online.\", \"peaches, guava, strawberries\", \"orange juice, pineapple juice, mango juice\", \"shampoo, mouthwash\", \"Kinsley, Piper, Nevaeh, Nora, Eva, Avery, Lydia, Piper, Layla, Rylee\"], \"text_template_based\": \"I bought some peaches, guava, strawberries, orange juice, pineapple juice, mango juice, shampoo, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/11/11?\", \"peaches, guava, strawberries, orange juice, pineapple juice, mango juice, and shampoo, mouthwash\"], [\"what fruits did I buy online on 2022/11/11?\", \"peaches, guava, strawberries\"], [\"what drinks did I buy online on 2022/11/11?\", \"orange juice, pineapple juice, mango juice\"], [\"what toiletries did I buy online on 2022/11/11?\", \"shampoo, mouthwash\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19419\", \"logical_representation\": [\"2022/11/11\", \"Nora\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2022/11/11?\", \"52 minutes\"], [\"who did I talk to on 2022/11/11?\", \"Nora\"], [\"Did I talk to Nora on 2022/11/11?\", \"yes\"], [\"Did I talk to anyone on 2022/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19420\", \"logical_representation\": [\"2022/11/11\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/11/11?\", \"37 minutes\"], [\"what did I read on 2022/11/11?\", \"news\"], [\"Did I read on 2022/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19421\", \"logical_representation\": [\"2022/11/11\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/11?\", \"8 minutes\"], [\"what did I watch on tv on 2022/11/11?\", \"news\"], [\"Did I watch tv on 2022/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/14\": {\"bake\": {\"eid\": \"e18236\", \"logical_representation\": [\"2022/11/14\", \"I really enjoyed baking dessert nachos, cranberry apple danish, gluten-free apple rose tart on 2022/11/14 with Rylee, Piper at my place\", \"bake\", \"dessert nachos, cranberry apple danish, gluten-free apple rose tart\", \"Rylee, Piper\", \"my place\"], \"text_template_based\": \"I really enjoyed baking dessert nachos, cranberry apple danish, gluten-free apple rose tart on 2022/11/14 with Rylee, Piper at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  dessert nachos, cranberry apple danish, gluten-free apple rose tart with Rylee, Piper?\", \"2022/11/14\"], [\"what did I  on 2022/11/14?\", \"dessert nachos, cranberry apple danish, gluten-free apple rose tart\"], [\"who was I with when I  dessert nachos, cranberry apple danish, gluten-free apple rose tart on 2022/11/14?\", \"Rylee, Piper\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e18237\", \"logical_representation\": [\"2022/11/14\", \"Leo\", \"a boba shop\"], \"text_template_based\": \"On 2022/11/14, I took Leo on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/11/14\", \"Leo\"], [\"where did I go for the date on 2022/11/14\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e18239\", \"logical_representation\": [\"2022/11/14\", \"I went grocery shopping. I bought some bananas, strawberries, clementines, watermelons, mineral water, soda, orange juice, and facial wash, shaving cream, toothpaste\", \"bananas, strawberries, clementines, watermelons\", \"mineral water, soda, orange juice\", \"facial wash, shaving cream, toothpaste\", \"Olivia\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, strawberries, clementines, watermelons, mineral water, soda, orange juice, and facial wash, shaving cream, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/11/14?\", \"bananas, strawberries, clementines, watermelons, mineral water, soda, orange juice, and facial wash, shaving cream, toothpaste\"], [\"what fruits did I buy from the grocery store on 2022/11/14?\", \"bananas, strawberries, clementines, watermelons\"], [\"what drinks did I buy from the grocery store on 2022/11/14?\", \"mineral water, soda, orange juice\"], [\"what toiletries did I buy from the grocery store on 2022/11/14?\", \"facial wash, shaving cream, toothpaste\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19430\", \"logical_representation\": [\"2022/11/14\", \"dinner\", \"chinese food\", \"Piper, Lydia, Olivia, Claire, Kinsley, Piper, Avery, Hazel, Rylee\"], \"text_template_based\": \"I had chinese food for dinner with Piper, Lydia, Olivia, Claire, Kinsley, Piper, Avery, Hazel, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/11/14?\", \"Piper, Lydia, Olivia, Claire, Kinsley, Piper, Avery, Hazel, Rylee\"], [\"what did I eat for dinner on 2022/11/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2022/11/15\": {\"dating\": {\"eid\": \"e18238\", \"logical_representation\": [\"2022/11/15\", \"Robert\", \"a coffee Shop\"], \"text_template_based\": \"On 2022/11/15, I took Robert on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/11/15\", \"Robert\"], [\"where did I go for the date on 2022/11/15\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e18240\", \"logical_representation\": [\"2022/11/15\", \"I went grocery shopping with Jackson, Benjamin. I bought some blueberries, clementines, apple juice, coffee, pineapple juice, tea, and toothpaste\", \"blueberries, clementines\", \"apple juice, coffee, pineapple juice, tea\", \"toothpaste\", \"Jackson, Benjamin\"], \"text_template_based\": \"I went grocery shopping with Jackson, Benjamin. I bought some blueberries, clementines, apple juice, coffee, pineapple juice, tea, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/11/15?\", \"blueberries, clementines, apple juice, coffee, pineapple juice, tea, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2022/11/15?\", \"blueberries, clementines\"], [\"what drinks did I buy from the grocery store on 2022/11/15?\", \"apple juice, coffee, pineapple juice, tea\"], [\"what toiletries did I buy from the grocery store on 2022/11/15?\", \"toothpaste\"], [\"who was with me at the grocery store on 2022/11/15?\", \"Jackson, Benjamin\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19431\", \"logical_representation\": [\"2022/11/15\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Nevaeh, Nora, Eva, Piper, Layla, Kinsley, Piper, Avery, Rylee, Claire, Olivia\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19432\", \"logical_representation\": [\"2022/11/15\", \"lunch\", \"pasta\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/11/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19433\", \"logical_representation\": [\"2022/11/15\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/11/15?\", \"32 minutes\"], [\"what did I read on 2022/11/15?\", \"social media\"], [\"Did I read on 2022/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/22\": {\"grocery\": {\"eid\": \"e18241\", \"logical_representation\": [\"2022/11/22\", \"I bought some oranges, soda, conditioner from the grocery store. I saw Kinsley, Claire, Olivia, Lydia, Nevaeh at the grocery store.\", \"oranges\", \"soda\", \"conditioner\", \"Kinsley, Claire, Olivia, Lydia, Nevaeh\"], \"text_template_based\": \"I bought some oranges, soda, conditioner from the grocery store. I saw Kinsley, Claire, Olivia, Lydia, Nevaeh at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/11/22?\", \"oranges, soda, and conditioner\"], [\"what fruits did I buy from the grocery store on 2022/11/22?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2022/11/22?\", \"soda\"], [\"what toiletries did I buy from the grocery store on 2022/11/22?\", \"conditioner\"], [\"who did I see at the grocery store on 2022/11/22?\", \"Kinsley, Claire, Olivia, Lydia, Nevaeh\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19457\", \"logical_representation\": [\"2022/11/22\", \"dinner\", \"steak\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/11/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19458\", \"logical_representation\": [\"2022/11/22\", \"Rylee, Avery, Piper\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery, Piper for 12 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery, Piper late in the evening on 2022/11/22?\", \"12 minutes\"], [\"who did I talk to on 2022/11/22?\", \"Rylee, Avery, Piper\"], [\"Did I talk to Rylee, Avery, Piper on 2022/11/22?\", \"yes\"], [\"Did I talk to anyone on 2022/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19459\", \"logical_representation\": [\"2022/11/22\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I watched a tv series for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/22?\", \"48 minutes\"], [\"what did I watch on tv on 2022/11/22?\", \"a tv series\"], [\"Did I watch tv on 2022/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/30\": {\"bake\": {\"eid\": \"e18242\", \"logical_representation\": [\"2022/11/30\", \"I really enjoyed baking cream-filled bundt cake, fig tarte tatin, chocolate chip cookie in a mug on 2022/11/30 with Emily, Carter at my place\", \"bake\", \"cream-filled bundt cake, fig tarte tatin, chocolate chip cookie in a mug\", \"Emily, Carter\", \"my place\"], \"text_template_based\": \"I really enjoyed baking cream-filled bundt cake, fig tarte tatin, chocolate chip cookie in a mug on 2022/11/30 with Emily, Carter at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  cream-filled bundt cake, fig tarte tatin, chocolate chip cookie in a mug with Emily, Carter?\", \"2022/11/30\"], [\"what did I  on 2022/11/30?\", \"cream-filled bundt cake, fig tarte tatin, chocolate chip cookie in a mug\"], [\"who was I with when I  cream-filled bundt cake, fig tarte tatin, chocolate chip cookie in a mug on 2022/11/30?\", \"Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19485\", \"logical_representation\": [\"2022/11/30\", \"breakfast\", \"pancakes\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19486\", \"logical_representation\": [\"2022/11/30\", \"lunch\", \"chinese food\", \"Kayden, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/11/30?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2022/11/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19487\", \"logical_representation\": [\"2022/11/30\", \"dinner\", \"sandwich\", \"Claire, Piper, Layla, Nora, Eva, Nevaeh, Olivia, Avery\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/11/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19488\", \"logical_representation\": [\"2022/11/30\", \"Hazel, Layla\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Hazel, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla in the late afternoon on 2022/11/30?\", \"39 minutes\"], [\"who did I talk to on 2022/11/30?\", \"Hazel, Layla\"], [\"Did I talk to Hazel, Layla on 2022/11/30?\", \"yes\"], [\"Did I talk to anyone on 2022/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19489\", \"logical_representation\": [\"2022/11/30\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/11/30?\", \"13 minutes\"], [\"what did I read on 2022/11/30?\", \"a book\"], [\"Did I read on 2022/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/07\": {\"dating\": {\"eid\": \"e18244\", \"logical_representation\": [\"2022/12/07\", \"Emery\", \"a coffee Shop\"], \"text_template_based\": \"On 2022/12/07, I took Emery on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/12/07\", \"Emery\"], [\"where did I go for the date on 2022/12/07\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19508\", \"logical_representation\": [\"2022/12/07\", \"breakfast\", \"cereals\", \"Hazel, Eva, Claire, Avery, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/12/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19509\", \"logical_representation\": [\"2022/12/07\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/12/07?\", \"19 minutes\"], [\"what did I read on 2022/12/07?\", \"news\"], [\"Did I read on 2022/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/08\": {\"hobbies\": {\"eid\": \"e18245\", \"logical_representation\": [\"2022/12/08\", \"I spent time learning a language on 2022/12/08 with Emily, Andrew.\", \"learning a language\", \"Emily, Andrew\"], \"text_template_based\": \"I spent time learning a language on 2022/12/08 with Emily, Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Emily, Andrew?\", \"2022/12/08\"], [\"On 2022/12/08, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2022/12/08?\", \"Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19510\", \"logical_representation\": [\"2022/12/08\", \"lunch\", \"fish and chips\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/12/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19511\", \"logical_representation\": [\"2022/12/08\", \"dinner\", \"pasta\", \"Eva, Piper, Kinsley, Nora, Piper, Layla, Claire, Avery, Olivia, Hazel, Rylee\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19512\", \"logical_representation\": [\"2022/12/08\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/12/08?\", \"34 minutes\"], [\"what did I read on 2022/12/08?\", \"social media\"], [\"Did I read on 2022/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/04\": {\"grocery\": {\"eid\": \"e18246\", \"logical_representation\": [\"2022/12/04\", \"I went grocery shopping. I bought some apricots, mandarins, apples, guava juice, sports drinks, and paper towel, toilet paper, toothpaste\", \"apricots, mandarins, apples\", \"guava juice, sports drinks\", \"paper towel, toilet paper, toothpaste\", \"Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, mandarins, apples, guava juice, sports drinks, and paper towel, toilet paper, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/12/04?\", \"apricots, mandarins, apples, guava juice, sports drinks, and paper towel, toilet paper, toothpaste\"], [\"what fruits did I buy from the grocery store on 2022/12/04?\", \"apricots, mandarins, apples\"], [\"what drinks did I buy from the grocery store on 2022/12/04?\", \"guava juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2022/12/04?\", \"paper towel, toilet paper, toothpaste\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19501\", \"logical_representation\": [\"2022/12/04\", \"dinner\", \"pasta\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had pasta for dinner with Jackson, Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/12/04?\", \"Jackson, Benjamin, Willow\"], [\"what did I eat for dinner on 2022/12/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19502\", \"logical_representation\": [\"2022/12/04\", \"Piper\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Piper for 42 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2022/12/04?\", \"42 minutes\"], [\"who did I talk to on 2022/12/04?\", \"Piper\"], [\"Did I talk to Piper on 2022/12/04?\", \"yes\"], [\"Did I talk to anyone on 2022/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19503\", \"logical_representation\": [\"2022/12/04\", \"Hazel\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2022/12/04?\", \"15 minutes\"], [\"who did I talk to on 2022/12/04?\", \"Hazel\"], [\"Did I talk to Hazel on 2022/12/04?\", \"yes\"], [\"Did I talk to anyone on 2022/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/06\": {\"grocery\": {\"eid\": \"e18247\", \"logical_representation\": [\"2022/12/06\", \"I went grocery shopping. I bought some watermelons, raspberries, mangos, soda, guava juice, chocolate milk, and paper towel, facial wash, shaving cream, toilet paper\", \"watermelons, raspberries, mangos\", \"soda, guava juice, chocolate milk\", \"paper towel, facial wash, shaving cream, toilet paper\", \"Nevaeh, Eva, Olivia, Avery, Lydia, Kinsley, Hazel, Claire, Layla, Piper, Rylee\"], \"text_template_based\": \"I went grocery shopping. I bought some watermelons, raspberries, mangos, soda, guava juice, chocolate milk, and paper towel, facial wash, shaving cream, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/12/06?\", \"watermelons, raspberries, mangos, soda, guava juice, chocolate milk, and paper towel, facial wash, shaving cream, toilet paper\"], [\"what fruits did I buy from the grocery store on 2022/12/06?\", \"watermelons, raspberries, mangos\"], [\"what drinks did I buy from the grocery store on 2022/12/06?\", \"soda, guava juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2022/12/06?\", \"paper towel, facial wash, shaving cream, toilet paper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19505\", \"logical_representation\": [\"2022/12/06\", \"breakfast\", \"oatmeal\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/12/06\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19506\", \"logical_representation\": [\"2022/12/06\", \"Eva, Olivia\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Eva, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia during lunch hours on 2022/12/06?\", \"7 minutes\"], [\"who did I talk to on 2022/12/06?\", \"Eva, Olivia\"], [\"Did I talk to Eva, Olivia on 2022/12/06?\", \"yes\"], [\"Did I talk to anyone on 2022/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19507\", \"logical_representation\": [\"2022/12/06\", \"Avery, Olivia, Piper, Claire\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia, Piper, Claire for 29 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Piper, Claire in the late afternoon on 2022/12/06?\", \"29 minutes\"], [\"who did I talk to on 2022/12/06?\", \"Avery, Olivia, Piper, Claire\"], [\"Did I talk to Avery, Olivia, Piper, Claire on 2022/12/06?\", \"yes\"], [\"Did I talk to anyone on 2022/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/12\": {\"dating\": {\"eid\": \"e18248\", \"logical_representation\": [\"2022/12/12\", \"Jackson\", \"a boba shop\"], \"text_template_based\": \"On 2022/12/12, I took Jackson on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/12/12\", \"Jackson\"], [\"where did I go for the date on 2022/12/12\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19524\", \"logical_representation\": [\"2022/12/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/12/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19525\", \"logical_representation\": [\"2022/12/12\", \"breakfast\", \"toast and cheese\", \"Willow\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/12/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19526\", \"logical_representation\": [\"2022/12/12\", \"lunch\", \"fish and chips\", \"Piper, Piper, Rylee, Eva, Olivia, Claire, Layla, Kinsley, Nora, Nevaeh, Hazel, Lydia, Avery\"], \"text_template_based\": \"I had fish and chips for lunch with Piper, Piper, Rylee, Eva, Olivia, Claire, Layla, Kinsley, Nora, Nevaeh, Hazel, Lydia, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/12/12?\", \"Piper, Piper, Rylee, Eva, Olivia, Claire, Layla, Kinsley, Nora, Nevaeh, Hazel, Lydia, Avery\"], [\"what did I eat for lunch on 2022/12/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19527\", \"logical_representation\": [\"2022/12/12\", \"dinner\", \"pasta\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19528\", \"logical_representation\": [\"2022/12/12\", \"Olivia, Kinsley, Lydia, Nevaeh\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Olivia, Kinsley, Lydia, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Lydia, Nevaeh late in the evening on 2022/12/12?\", \"55 minutes\"], [\"who did I talk to on 2022/12/12?\", \"Olivia, Kinsley, Lydia, Nevaeh\"], [\"Did I talk to Olivia, Kinsley, Lydia, Nevaeh on 2022/12/12?\", \"yes\"], [\"Did I talk to anyone on 2022/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/15\": {\"grocery\": {\"eid\": \"e18249\", \"logical_representation\": [\"2022/12/15\", \"I went grocery shopping with Kayden, Emily. I bought some blackberries, mandarins, guava, nectarines, apple juice, mango juice, coffee, and toilet paper, body lotion, toothbrush\", \"blackberries, mandarins, guava, nectarines\", \"apple juice, mango juice, coffee\", \"toilet paper, body lotion, toothbrush\", \"Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping with Kayden, Emily. I bought some blackberries, mandarins, guava, nectarines, apple juice, mango juice, coffee, and toilet paper, body lotion, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/12/15?\", \"blackberries, mandarins, guava, nectarines, apple juice, mango juice, coffee, and toilet paper, body lotion, toothbrush\"], [\"what fruits did I buy from the grocery store on 2022/12/15?\", \"blackberries, mandarins, guava, nectarines\"], [\"what drinks did I buy from the grocery store on 2022/12/15?\", \"apple juice, mango juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2022/12/15?\", \"toilet paper, body lotion, toothbrush\"], [\"who was with me at the grocery store on 2022/12/15?\", \"Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19536\", \"logical_representation\": [\"2022/12/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/12/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19537\", \"logical_representation\": [\"2022/12/15\", \"lunch\", \"fish and chips\", \"Olivia\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/12/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19538\", \"logical_representation\": [\"2022/12/15\", \"dinner\", \"sushi\", \"Hazel, Nevaeh, Claire, Layla, Olivia, Nora\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19539\", \"logical_representation\": [\"2022/12/15\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/15?\", \"23 minutes\"], [\"what did I watch on tv on 2022/12/15?\", \"news\"], [\"Did I watch tv on 2022/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/30\": {\"cook\": {\"eid\": \"e18250\", \"logical_representation\": [\"2022/12/30\", \"I was cooking contest-winning broccoli chicken casserole, au gratin peas and potatoes on 2022/12/30 with Jackson, Benjamin, Willow at my place\", \"cook\", \"contest-winning broccoli chicken casserole, au gratin peas and potatoes\", \"Jackson, Benjamin, Willow\", \"my place\"], \"text_template_based\": \"I was cooking contest-winning broccoli chicken casserole, au gratin peas and potatoes on 2022/12/30 with Jackson, Benjamin, Willow at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  contest-winning broccoli chicken casserole, au gratin peas and potatoes with Jackson, Benjamin, Willow?\", \"2022/12/30\"], [\"what did I  on 2022/12/30?\", \"contest-winning broccoli chicken casserole, au gratin peas and potatoes\"], [\"who was I with when I  contest-winning broccoli chicken casserole, au gratin peas and potatoes on 2022/12/30?\", \"Jackson, Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19595\", \"logical_representation\": [\"2022/12/30\", \"breakfast\", \"pancakes\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/12/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19596\", \"logical_representation\": [\"2022/12/30\", \"Eva\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the morning on 2022/12/30?\", \"17 minutes\"], [\"who did I talk to on 2022/12/30?\", \"Eva\"], [\"Did I talk to Eva on 2022/12/30?\", \"yes\"], [\"Did I talk to anyone on 2022/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19597\", \"logical_representation\": [\"2022/12/30\", \"Layla, Nora, Hazel\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Layla, Nora, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Hazel in the early afternoon on 2022/12/30?\", \"25 minutes\"], [\"who did I talk to on 2022/12/30?\", \"Layla, Nora, Hazel\"], [\"Did I talk to Layla, Nora, Hazel on 2022/12/30?\", \"yes\"], [\"Did I talk to anyone on 2022/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19598\", \"logical_representation\": [\"2022/12/30\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/12/30?\", \"53 minutes\"], [\"what did I read on 2022/12/30?\", \"social media\"], [\"Did I read on 2022/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19599\", \"logical_representation\": [\"2022/12/30\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/30?\", \"11 minutes\"], [\"what did I watch on tv on 2022/12/30?\", \"a movie\"], [\"Did I watch tv on 2022/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/28\": {\"hobbies\": {\"eid\": \"e18251\", \"logical_representation\": [\"2022/12/28\", \"I really enjoyed meditation on 2022/12/28\", \"meditation\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I really enjoyed meditation on 2022/12/28\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2022/12/28\"], [\"On 2022/12/28, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e19585\", \"logical_representation\": [\"2022/12/28\", \"running\"], \"text_template_based\": \"I did running on 2022/12/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19586\", \"logical_representation\": [\"2022/12/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Kinsley, Nora, Eva\"], \"text_template_based\": \"I had breakfast with Kinsley, Nora, Eva. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/12/28?\", \"Kinsley, Nora, Eva\"], [\"what did I eat for breakfast on 2022/12/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19587\", \"logical_representation\": [\"2022/12/28\", \"lunch\", \"sandwich\", \"Rylee, Layla, Nevaeh, Olivia, Nora, Eva, Hazel, Piper, Kinsley, Piper, Avery, Claire, Lydia\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/12/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19588\", \"logical_representation\": [\"2022/12/28\", \"dinner\", \"indian food\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/12/28?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2022/12/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19589\", \"logical_representation\": [\"2022/12/28\", \"Rylee, Avery, Hazel\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Rylee, Avery, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery, Hazel late in the evening on 2022/12/28?\", \"55 minutes\"], [\"who did I talk to on 2022/12/28?\", \"Rylee, Avery, Hazel\"], [\"Did I talk to Rylee, Avery, Hazel on 2022/12/28?\", \"yes\"], [\"Did I talk to anyone on 2022/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19590\", \"logical_representation\": [\"2022/12/28\", \"Lydia, Eva\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva for 6 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva in the early afternoon on 2022/12/28?\", \"6 minutes\"], [\"who did I talk to on 2022/12/28?\", \"Lydia, Eva\"], [\"Did I talk to Lydia, Eva on 2022/12/28?\", \"yes\"], [\"Did I talk to anyone on 2022/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19591\", \"logical_representation\": [\"2022/12/28\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/12/28?\", \"10 minutes\"], [\"what did I read on 2022/12/28?\", \"social media\"], [\"Did I read on 2022/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/29\": {\"grocery\": {\"eid\": \"e18252\", \"logical_representation\": [\"2022/12/29\", \"I bought some bananas, nectarines, mangos, milk, orange juice, apple juice, paper towel online.\", \"bananas, nectarines, mangos\", \"milk, orange juice, apple juice\", \"paper towel\", \"Avery, Piper, Piper, Layla, Lydia, Rylee, Claire, Nevaeh\"], \"text_template_based\": \"I bought some bananas, nectarines, mangos, milk, orange juice, apple juice, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/12/29?\", \"bananas, nectarines, mangos, milk, orange juice, apple juice, and paper towel\"], [\"what fruits did I buy online on 2022/12/29?\", \"bananas, nectarines, mangos\"], [\"what drinks did I buy online on 2022/12/29?\", \"milk, orange juice, apple juice\"], [\"what toiletries did I buy online on 2022/12/29?\", \"paper towel\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19592\", \"logical_representation\": [\"2022/12/29\", \"Kinsley, Lydia\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Kinsley, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia during lunch hours on 2022/12/29?\", \"29 minutes\"], [\"who did I talk to on 2022/12/29?\", \"Kinsley, Lydia\"], [\"Did I talk to Kinsley, Lydia on 2022/12/29?\", \"yes\"], [\"Did I talk to anyone on 2022/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19593\", \"logical_representation\": [\"2022/12/29\", \"Kinsley, Piper, Olivia\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Olivia for 48 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Olivia in the early afternoon on 2022/12/29?\", \"48 minutes\"], [\"who did I talk to on 2022/12/29?\", \"Kinsley, Piper, Olivia\"], [\"Did I talk to Kinsley, Piper, Olivia on 2022/12/29?\", \"yes\"], [\"Did I talk to anyone on 2022/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19594\", \"logical_representation\": [\"2022/12/29\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/29?\", \"18 minutes\"], [\"what did I watch on tv on 2022/12/29?\", \"a tv series\"], [\"Did I watch tv on 2022/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/10\": {\"breakfast\": {\"eid\": \"e18283\", \"logical_representation\": [\"2022/01/10\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/01/10?\", \"Andrew, Kayden\"], [\"what did I eat for breakfast on 2022/01/10\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18284\", \"logical_representation\": [\"2022/01/10\", \"lunch\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had indian food for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/01/10?\", \"Carter\"], [\"what did I eat for lunch on 2022/01/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18285\", \"logical_representation\": [\"2022/01/10\", \"dinner\", \"indian food\", \"Avery\"], \"text_template_based\": \"I had dinner with Avery. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/01/10?\", \"Avery\"], [\"what did I eat for dinner on 2022/01/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18286\", \"logical_representation\": [\"2022/01/10\", \"Claire, Lydia\", \"during lunch hours\", \"19 minutes\"], \"text_template_based\": \"I talked to Claire, Lydia for 19 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia during lunch hours on 2022/01/10?\", \"19 minutes\"], [\"who did I talk to on 2022/01/10?\", \"Claire, Lydia\"], [\"Did I talk to Claire, Lydia on 2022/01/10?\", \"yes\"], [\"Did I talk to anyone on 2022/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/11\": {\"exercise\": {\"eid\": \"e18287\", \"logical_representation\": [\"2022/01/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/01/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18288\", \"logical_representation\": [\"2022/01/11\", \"Piper, Layla, Hazel, Avery\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Hazel, Avery for 13 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Hazel, Avery in the morning on 2022/01/11?\", \"13 minutes\"], [\"who did I talk to on 2022/01/11?\", \"Piper, Layla, Hazel, Avery\"], [\"Did I talk to Piper, Layla, Hazel, Avery on 2022/01/11?\", \"yes\"], [\"Did I talk to anyone on 2022/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18289\", \"logical_representation\": [\"2022/01/11\", \"Avery\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Avery for 47 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2022/01/11?\", \"47 minutes\"], [\"who did I talk to on 2022/01/11?\", \"Avery\"], [\"Did I talk to Avery on 2022/01/11?\", \"yes\"], [\"Did I talk to anyone on 2022/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18290\", \"logical_representation\": [\"2022/01/11\", \"a movie\", \"54 minutes\"], \"text_template_based\": \"I watched a movie for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/11?\", \"54 minutes\"], [\"what did I watch on tv on 2022/01/11?\", \"a movie\"], [\"Did I watch tv on 2022/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/12\": {\"exercise\": {\"eid\": \"e18291\", \"logical_representation\": [\"2022/01/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/01/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18292\", \"logical_representation\": [\"2022/01/12\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Jackson\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/01/12?\", \"Avery, Jackson\"], [\"what did I eat for breakfast on 2022/01/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18293\", \"logical_representation\": [\"2022/01/12\", \"lunch\", \"a burger\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/01/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18294\", \"logical_representation\": [\"2022/01/12\", \"dinner\", \"sushi\", \"Rylee, Nevaeh, Avery, Claire, Layla, Hazel, Lydia\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/01/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18295\", \"logical_representation\": [\"2022/01/12\", \"Nora, Layla\", \"in the morning\", \"16 minutes\"], \"text_template_based\": \"I talked to Nora, Layla for 16 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla in the morning on 2022/01/12?\", \"16 minutes\"], [\"who did I talk to on 2022/01/12?\", \"Nora, Layla\"], [\"Did I talk to Nora, Layla on 2022/01/12?\", \"yes\"], [\"Did I talk to anyone on 2022/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/14\": {\"breakfast\": {\"eid\": \"e18300\", \"logical_representation\": [\"2022/01/14\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/01/14?\", \"Andrew\"], [\"what did I eat for breakfast on 2022/01/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18301\", \"logical_representation\": [\"2022/01/14\", \"dinner\", \"chinese food\", \"Piper, Nora, Nevaeh, Piper, Hazel\"], \"text_template_based\": \"I had dinner with Piper, Nora, Nevaeh, Piper, Hazel. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/01/14?\", \"Piper, Nora, Nevaeh, Piper, Hazel\"], [\"what did I eat for dinner on 2022/01/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18302\", \"logical_representation\": [\"2022/01/14\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/01/14?\", \"5 minutes\"], [\"what did I read on 2022/01/14?\", \"news\"], [\"Did I read on 2022/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18303\", \"logical_representation\": [\"2022/01/14\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I watched a tv series for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/14?\", \"24 minutes\"], [\"what did I watch on tv on 2022/01/14?\", \"a tv series\"], [\"Did I watch tv on 2022/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/15\": {\"breakfast\": {\"eid\": \"e18304\", \"logical_representation\": [\"2022/01/15\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden, Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/01/15?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for breakfast on 2022/01/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18305\", \"logical_representation\": [\"2022/01/15\", \"lunch\", \"pasta\", \"Nevaeh, Lydia, Claire, Eva\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/01/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18306\", \"logical_representation\": [\"2022/01/15\", \"dinner\", \"tacos\", \"Piper, Nevaeh, Lydia, Hazel, Nora, Piper, Kinsley, Olivia\"], \"text_template_based\": \"I had dinner with Piper, Nevaeh, Lydia, Hazel, Nora, Piper, Kinsley, Olivia. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/01/15?\", \"Piper, Nevaeh, Lydia, Hazel, Nora, Piper, Kinsley, Olivia\"], [\"what did I eat for dinner on 2022/01/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18307\", \"logical_representation\": [\"2022/01/15\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I watched a tv series for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/15?\", \"55 minutes\"], [\"what did I watch on tv on 2022/01/15?\", \"a tv series\"], [\"Did I watch tv on 2022/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/17\": {\"lunch\": {\"eid\": \"e18311\", \"logical_representation\": [\"2022/01/17\", \"lunch\", \"a burger\", \"Layla, Lydia, Nevaeh, Nora, Avery, Claire, Kinsley, Piper, Piper, Rylee, Hazel\"], \"text_template_based\": \"I had a burger for lunch with Layla, Lydia, Nevaeh, Nora, Avery, Claire, Kinsley, Piper, Piper, Rylee, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/01/17?\", \"Layla, Lydia, Nevaeh, Nora, Avery, Claire, Kinsley, Piper, Piper, Rylee, Hazel\"], [\"what did I eat for lunch on 2022/01/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18312\", \"logical_representation\": [\"2022/01/17\", \"Layla, Avery, Piper\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Layla, Avery, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Piper in the late afternoon on 2022/01/17?\", \"55 minutes\"], [\"who did I talk to on 2022/01/17?\", \"Layla, Avery, Piper\"], [\"Did I talk to Layla, Avery, Piper on 2022/01/17?\", \"yes\"], [\"Did I talk to anyone on 2022/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/18\": {\"lunch\": {\"eid\": \"e18313\", \"logical_representation\": [\"2022/01/18\", \"lunch\", \"a burger\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/01/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18314\", \"logical_representation\": [\"2022/01/18\", \"dinner\", \"chinese food\", \"Jackson\"], \"text_template_based\": \"I had chinese food for dinner with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/01/18?\", \"Jackson\"], [\"what did I eat for dinner on 2022/01/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18315\", \"logical_representation\": [\"2022/01/18\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/01/18?\", \"44 minutes\"], [\"what did I read on 2022/01/18?\", \"news\"], [\"Did I read on 2022/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/19\": {\"breakfast\": {\"eid\": \"e18316\", \"logical_representation\": [\"2022/01/19\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/01/19?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for breakfast on 2022/01/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18317\", \"logical_representation\": [\"2022/01/19\", \"dinner\", \"tacos\", \"Benjamin\"], \"text_template_based\": \"I had tacos for dinner with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/01/19?\", \"Benjamin\"], [\"what did I eat for dinner on 2022/01/19\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2022/01/21\": {\"chat0\": {\"eid\": \"e18321\", \"logical_representation\": [\"2022/01/21\", \"Hazel, Nora, Lydia, Kinsley\", \"in the early afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Hazel, Nora, Lydia, Kinsley for 18 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Lydia, Kinsley in the early afternoon on 2022/01/21?\", \"18 minutes\"], [\"who did I talk to on 2022/01/21?\", \"Hazel, Nora, Lydia, Kinsley\"], [\"Did I talk to Hazel, Nora, Lydia, Kinsley on 2022/01/21?\", \"yes\"], [\"Did I talk to anyone on 2022/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18322\", \"logical_representation\": [\"2022/01/21\", \"Nora, Claire, Hazel\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Nora, Claire, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Hazel in the early evening on 2022/01/21?\", \"18 minutes\"], [\"who did I talk to on 2022/01/21?\", \"Nora, Claire, Hazel\"], [\"Did I talk to Nora, Claire, Hazel on 2022/01/21?\", \"yes\"], [\"Did I talk to anyone on 2022/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18323\", \"logical_representation\": [\"2022/01/21\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/01/21?\", \"22 minutes\"], [\"what did I read on 2022/01/21?\", \"social media\"], [\"Did I read on 2022/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/22\": {\"exercise\": {\"eid\": \"e18324\", \"logical_representation\": [\"2022/01/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/01/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18325\", \"logical_representation\": [\"2022/01/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Claire, Piper, Rylee, Olivia, Piper, Hazel, Eva, Layla, Lydia, Avery, Kinsley\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/01/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18326\", \"logical_representation\": [\"2022/01/22\", \"dinner\", \"sandwich\", \"Avery, Benjamin\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/01/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18327\", \"logical_representation\": [\"2022/01/22\", \"Layla, Kinsley\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Layla, Kinsley for 40 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley in the early evening on 2022/01/22?\", \"40 minutes\"], [\"who did I talk to on 2022/01/22?\", \"Layla, Kinsley\"], [\"Did I talk to Layla, Kinsley on 2022/01/22?\", \"yes\"], [\"Did I talk to anyone on 2022/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/23\": {\"lunch\": {\"eid\": \"e18328\", \"logical_representation\": [\"2022/01/23\", \"lunch\", \"sandwich\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/01/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18329\", \"logical_representation\": [\"2022/01/23\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/01/23?\", \"18 minutes\"], [\"what did I read on 2022/01/23?\", \"social media\"], [\"Did I read on 2022/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/26\": {\"exercise\": {\"eid\": \"e18336\", \"logical_representation\": [\"2022/01/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/01/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18337\", \"logical_representation\": [\"2022/01/26\", \"breakfast\", \"toast and cheese\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/01/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18338\", \"logical_representation\": [\"2022/01/26\", \"lunch\", \"steak\", \"Carter, Kayden\"], \"text_template_based\": \"I had steak for lunch with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/01/26?\", \"Carter, Kayden\"], [\"what did I eat for lunch on 2022/01/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18339\", \"logical_representation\": [\"2022/01/26\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/01/26?\", \"24 minutes\"], [\"what did I read on 2022/01/26?\", \"a book\"], [\"Did I read on 2022/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/28\": {\"lunch\": {\"eid\": \"e18343\", \"logical_representation\": [\"2022/01/28\", \"lunch\", \"tacos\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/01/28\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18344\", \"logical_representation\": [\"2022/01/28\", \"dinner\", \"pasta\", \"Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/01/28\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18345\", \"logical_representation\": [\"2022/01/28\", \"Lydia, Nora, Eva\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Lydia, Nora, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Eva in the early afternoon on 2022/01/28?\", \"48 minutes\"], [\"who did I talk to on 2022/01/28?\", \"Lydia, Nora, Eva\"], [\"Did I talk to Lydia, Nora, Eva on 2022/01/28?\", \"yes\"], [\"Did I talk to anyone on 2022/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/29\": {\"exercise\": {\"eid\": \"e18346\", \"logical_representation\": [\"2022/01/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/01/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18347\", \"logical_representation\": [\"2022/01/29\", \"breakfast\", \"oatmeal\", \"Willow, Jackson\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/01/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18348\", \"logical_representation\": [\"2022/01/29\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/01/29?\", \"26 minutes\"], [\"what did I read on 2022/01/29?\", \"a book\"], [\"Did I read on 2022/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/30\": {\"exercise\": {\"eid\": \"e18349\", \"logical_representation\": [\"2022/01/30\", \"biking\"], \"text_template_based\": \"I did biking on 2022/01/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18350\", \"logical_representation\": [\"2022/01/30\", \"dinner\", \"a burger\", \"Lydia, Piper\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/01/30\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2022/02/01\": {\"breakfast\": {\"eid\": \"e18355\", \"logical_representation\": [\"2022/02/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/02/01?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2022/02/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18356\", \"logical_representation\": [\"2022/02/01\", \"Eva\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I talked to Eva for 47 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2022/02/01?\", \"47 minutes\"], [\"who did I talk to on 2022/02/01?\", \"Eva\"], [\"Did I talk to Eva on 2022/02/01?\", \"yes\"], [\"Did I talk to anyone on 2022/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18357\", \"logical_representation\": [\"2022/02/01\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/02/01?\", \"49 minutes\"], [\"what did I read on 2022/02/01?\", \"a book\"], [\"Did I read on 2022/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18358\", \"logical_representation\": [\"2022/02/01\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I watched a documentary for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/01?\", \"16 minutes\"], [\"what did I watch on tv on 2022/02/01?\", \"a documentary\"], [\"Did I watch tv on 2022/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/02\": {\"exercise\": {\"eid\": \"e18359\", \"logical_representation\": [\"2022/02/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/02/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18360\", \"logical_representation\": [\"2022/02/02\", \"breakfast\", \"pancakes\", \"Layla, Nevaeh, Rylee, Avery, Claire, Olivia, Kinsley, Piper, Lydia, Piper, Eva, Nora, Hazel\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18361\", \"logical_representation\": [\"2022/02/02\", \"Nevaeh, Eva\", \"in the morning\", \"36 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva for 36 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva in the morning on 2022/02/02?\", \"36 minutes\"], [\"who did I talk to on 2022/02/02?\", \"Nevaeh, Eva\"], [\"Did I talk to Nevaeh, Eva on 2022/02/02?\", \"yes\"], [\"Did I talk to anyone on 2022/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18362\", \"logical_representation\": [\"2022/02/02\", \"Lydia, Piper\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Lydia, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper during lunch hours on 2022/02/02?\", \"48 minutes\"], [\"who did I talk to on 2022/02/02?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2022/02/02?\", \"yes\"], [\"Did I talk to anyone on 2022/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18363\", \"logical_representation\": [\"2022/02/02\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/02/02?\", \"46 minutes\"], [\"what did I read on 2022/02/02?\", \"news\"], [\"Did I read on 2022/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18364\", \"logical_representation\": [\"2022/02/02\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I watched a tv series for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/02?\", \"32 minutes\"], [\"what did I watch on tv on 2022/02/02?\", \"a tv series\"], [\"Did I watch tv on 2022/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/03\": {\"breakfast\": {\"eid\": \"e18365\", \"logical_representation\": [\"2022/02/03\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18366\", \"logical_representation\": [\"2022/02/03\", \"lunch\", \"tacos\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/02/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18367\", \"logical_representation\": [\"2022/02/03\", \"Eva\", \"in the late afternoon\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the late afternoon on 2022/02/03?\", \"22 minutes\"], [\"who did I talk to on 2022/02/03?\", \"Eva\"], [\"Did I talk to Eva on 2022/02/03?\", \"yes\"], [\"Did I talk to anyone on 2022/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18368\", \"logical_representation\": [\"2022/02/03\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/02/03?\", \"38 minutes\"], [\"what did I read on 2022/02/03?\", \"news\"], [\"Did I read on 2022/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18369\", \"logical_representation\": [\"2022/02/03\", \"news\", \"34 minutes\"], \"text_template_based\": \"I watched news for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/03?\", \"34 minutes\"], [\"what did I watch on tv on 2022/02/03?\", \"news\"], [\"Did I watch tv on 2022/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/04\": {\"exercise\": {\"eid\": \"e18370\", \"logical_representation\": [\"2022/02/04\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/02/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/04?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18371\", \"logical_representation\": [\"2022/02/04\", \"dinner\", \"chinese food\", \"Kinsley, Claire, Avery, Piper, Lydia, Nora, Eva, Hazel, Layla, Nevaeh, Piper, Rylee\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/02/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18372\", \"logical_representation\": [\"2022/02/04\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/04?\", \"25 minutes\"], [\"what did I watch on tv on 2022/02/04?\", \"a movie\"], [\"Did I watch tv on 2022/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/05\": {\"exercise\": {\"eid\": \"e18373\", \"logical_representation\": [\"2022/02/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/02/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18374\", \"logical_representation\": [\"2022/02/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Layla, Hazel, Piper, Nevaeh, Kinsley, Piper, Rylee, Lydia, Claire, Olivia\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Avery, Layla, Hazel, Piper, Nevaeh, Kinsley, Piper, Rylee, Lydia, Claire, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/02/05?\", \"Avery, Layla, Hazel, Piper, Nevaeh, Kinsley, Piper, Rylee, Lydia, Claire, Olivia\"], [\"what did I eat for breakfast on 2022/02/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18375\", \"logical_representation\": [\"2022/02/05\", \"lunch\", \"sushi\", \"Jackson\"], \"text_template_based\": \"I had lunch with Jackson. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/02/05?\", \"Jackson\"], [\"what did I eat for lunch on 2022/02/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18376\", \"logical_representation\": [\"2022/02/05\", \"dinner\", \"fish and chips\", \"Rylee, Olivia, Claire, Nevaeh, Lydia, Piper, Piper, Eva, Nora, Avery, Kinsley, Layla, Hazel\"], \"text_template_based\": \"I had fish and chips for dinner with Rylee, Olivia, Claire, Nevaeh, Lydia, Piper, Piper, Eva, Nora, Avery, Kinsley, Layla, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/02/05?\", \"Rylee, Olivia, Claire, Nevaeh, Lydia, Piper, Piper, Eva, Nora, Avery, Kinsley, Layla, Hazel\"], [\"what did I eat for dinner on 2022/02/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18377\", \"logical_representation\": [\"2022/02/05\", \"Lydia\", \"in the early evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Lydia for 13 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2022/02/05?\", \"13 minutes\"], [\"who did I talk to on 2022/02/05?\", \"Lydia\"], [\"Did I talk to Lydia on 2022/02/05?\", \"yes\"], [\"Did I talk to anyone on 2022/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18378\", \"logical_representation\": [\"2022/02/05\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/02/05?\", \"7 minutes\"], [\"what did I read on 2022/02/05?\", \"news\"], [\"Did I read on 2022/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/06\": {\"exercise\": {\"eid\": \"e18379\", \"logical_representation\": [\"2022/02/06\", \"biking\"], \"text_template_based\": \"I did biking on 2022/02/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/06?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18380\", \"logical_representation\": [\"2022/02/06\", \"Olivia\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Olivia for 32 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2022/02/06?\", \"32 minutes\"], [\"who did I talk to on 2022/02/06?\", \"Olivia\"], [\"Did I talk to Olivia on 2022/02/06?\", \"yes\"], [\"Did I talk to anyone on 2022/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18381\", \"logical_representation\": [\"2022/02/06\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/02/06?\", \"46 minutes\"], [\"what did I read on 2022/02/06?\", \"news\"], [\"Did I read on 2022/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18382\", \"logical_representation\": [\"2022/02/06\", \"a movie\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/06?\", \"42 minutes\"], [\"what did I watch on tv on 2022/02/06?\", \"a movie\"], [\"Did I watch tv on 2022/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/07\": {\"breakfast\": {\"eid\": \"e18383\", \"logical_representation\": [\"2022/02/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/02/07?\", \"Kayden\"], [\"what did I eat for breakfast on 2022/02/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18384\", \"logical_representation\": [\"2022/02/07\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I watched a movie for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/07?\", \"33 minutes\"], [\"what did I watch on tv on 2022/02/07?\", \"a movie\"], [\"Did I watch tv on 2022/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/08\": {\"lunch\": {\"eid\": \"e18385\", \"logical_representation\": [\"2022/02/08\", \"lunch\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/02/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18386\", \"logical_representation\": [\"2022/02/08\", \"Avery, Nevaeh, Rylee\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I talked to Avery, Nevaeh, Rylee for 21 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Rylee in the early afternoon on 2022/02/08?\", \"21 minutes\"], [\"who did I talk to on 2022/02/08?\", \"Avery, Nevaeh, Rylee\"], [\"Did I talk to Avery, Nevaeh, Rylee on 2022/02/08?\", \"yes\"], [\"Did I talk to anyone on 2022/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18387\", \"logical_representation\": [\"2022/02/08\", \"Rylee, Hazel, Piper, Piper\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Rylee, Hazel, Piper, Piper for 38 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel, Piper, Piper late in the evening on 2022/02/08?\", \"38 minutes\"], [\"who did I talk to on 2022/02/08?\", \"Rylee, Hazel, Piper, Piper\"], [\"Did I talk to Rylee, Hazel, Piper, Piper on 2022/02/08?\", \"yes\"], [\"Did I talk to anyone on 2022/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/09\": {\"lunch\": {\"eid\": \"e18388\", \"logical_representation\": [\"2022/02/09\", \"lunch\", \"steak\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/02/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18389\", \"logical_representation\": [\"2022/02/09\", \"Avery, Hazel, Piper, Claire\", \"late in the evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Avery, Hazel, Piper, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Piper, Claire late in the evening on 2022/02/09?\", \"7 minutes\"], [\"who did I talk to on 2022/02/09?\", \"Avery, Hazel, Piper, Claire\"], [\"Did I talk to Avery, Hazel, Piper, Claire on 2022/02/09?\", \"yes\"], [\"Did I talk to anyone on 2022/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/10\": {\"exercise\": {\"eid\": \"e18390\", \"logical_representation\": [\"2022/02/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/02/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18391\", \"logical_representation\": [\"2022/02/10\", \"dinner\", \"steak\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had steak for dinner with Carter, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/02/10?\", \"Carter, Andrew, Kayden\"], [\"what did I eat for dinner on 2022/02/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18392\", \"logical_representation\": [\"2022/02/10\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I watched a movie for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/10?\", \"19 minutes\"], [\"what did I watch on tv on 2022/02/10?\", \"a movie\"], [\"Did I watch tv on 2022/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/11\": {\"exercise\": {\"eid\": \"e18393\", \"logical_representation\": [\"2022/02/11\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/02/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/11?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18394\", \"logical_representation\": [\"2022/02/11\", \"lunch\", \"indian food\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/02/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18395\", \"logical_representation\": [\"2022/02/11\", \"Eva, Rylee, Hazel, Layla\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee, Hazel, Layla for 31 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Hazel, Layla in the early afternoon on 2022/02/11?\", \"31 minutes\"], [\"who did I talk to on 2022/02/11?\", \"Eva, Rylee, Hazel, Layla\"], [\"Did I talk to Eva, Rylee, Hazel, Layla on 2022/02/11?\", \"yes\"], [\"Did I talk to anyone on 2022/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/12\": {\"exercise\": {\"eid\": \"e18396\", \"logical_representation\": [\"2022/02/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/02/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18397\", \"logical_representation\": [\"2022/02/12\", \"dinner\", \"fish and chips\", \"Piper\"], \"text_template_based\": \"I had dinner with Piper. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/02/12?\", \"Piper\"], [\"what did I eat for dinner on 2022/02/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2022/02/13\": {\"exercise\": {\"eid\": \"e18398\", \"logical_representation\": [\"2022/02/13\", \"biking\"], \"text_template_based\": \"I did biking on 2022/02/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18399\", \"logical_representation\": [\"2022/02/13\", \"breakfast\", \"pancakes\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/14\": {\"exercise\": {\"eid\": \"e18400\", \"logical_representation\": [\"2022/02/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/02/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18401\", \"logical_representation\": [\"2022/02/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18402\", \"logical_representation\": [\"2022/02/14\", \"Nevaeh\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 8 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early afternoon on 2022/02/14?\", \"8 minutes\"], [\"who did I talk to on 2022/02/14?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2022/02/14?\", \"yes\"], [\"Did I talk to anyone on 2022/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18403\", \"logical_representation\": [\"2022/02/14\", \"a book\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/02/14?\", \"21 minutes\"], [\"what did I read on 2022/02/14?\", \"a book\"], [\"Did I read on 2022/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/16\": {\"exercise\": {\"eid\": \"e18406\", \"logical_representation\": [\"2022/02/16\", \"biking\"], \"text_template_based\": \"I did biking on 2022/02/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18407\", \"logical_representation\": [\"2022/02/16\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/16\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18408\", \"logical_representation\": [\"2022/02/16\", \"dinner\", \"indian food\", \"Eva, Hazel, Piper, Kinsley, Nora, Layla, Nevaeh, Claire, Lydia, Rylee, Avery, Olivia, Piper\"], \"text_template_based\": \"I had dinner with Eva, Hazel, Piper, Kinsley, Nora, Layla, Nevaeh, Claire, Lydia, Rylee, Avery, Olivia, Piper. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/02/16?\", \"Eva, Hazel, Piper, Kinsley, Nora, Layla, Nevaeh, Claire, Lydia, Rylee, Avery, Olivia, Piper\"], [\"what did I eat for dinner on 2022/02/16\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2022/02/17\": {\"dinner\": {\"eid\": \"e18409\", \"logical_representation\": [\"2022/02/17\", \"dinner\", \"sushi\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had sushi for dinner with Emily, Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/02/17?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for dinner on 2022/02/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18410\", \"logical_representation\": [\"2022/02/17\", \"Avery\", \"in the morning\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2022/02/17?\", \"24 minutes\"], [\"who did I talk to on 2022/02/17?\", \"Avery\"], [\"Did I talk to Avery on 2022/02/17?\", \"yes\"], [\"Did I talk to anyone on 2022/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18411\", \"logical_representation\": [\"2022/02/17\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/02/17?\", \"15 minutes\"], [\"what did I read on 2022/02/17?\", \"a book\"], [\"Did I read on 2022/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/21\": {\"dinner\": {\"eid\": \"e18423\", \"logical_representation\": [\"2022/02/21\", \"dinner\", \"a burger\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/02/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18424\", \"logical_representation\": [\"2022/02/21\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/02/21?\", \"17 minutes\"], [\"what did I read on 2022/02/21?\", \"social media\"], [\"Did I read on 2022/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18425\", \"logical_representation\": [\"2022/02/21\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/21?\", \"7 minutes\"], [\"what did I watch on tv on 2022/02/21?\", \"news\"], [\"Did I watch tv on 2022/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/22\": {\"breakfast\": {\"eid\": \"e18426\", \"logical_representation\": [\"2022/02/22\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/02/22?\", \"Kayden, Carter\"], [\"what did I eat for breakfast on 2022/02/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18427\", \"logical_representation\": [\"2022/02/22\", \"lunch\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/02/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18428\", \"logical_representation\": [\"2022/02/22\", \"Olivia, Kinsley\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley for 27 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley in the early evening on 2022/02/22?\", \"27 minutes\"], [\"who did I talk to on 2022/02/22?\", \"Olivia, Kinsley\"], [\"Did I talk to Olivia, Kinsley on 2022/02/22?\", \"yes\"], [\"Did I talk to anyone on 2022/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18429\", \"logical_representation\": [\"2022/02/22\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/02/22?\", \"43 minutes\"], [\"what did I read on 2022/02/22?\", \"social media\"], [\"Did I read on 2022/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18430\", \"logical_representation\": [\"2022/02/22\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I watched a tv series for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/22?\", \"11 minutes\"], [\"what did I watch on tv on 2022/02/22?\", \"a tv series\"], [\"Did I watch tv on 2022/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/23\": {\"exercise\": {\"eid\": \"e18431\", \"logical_representation\": [\"2022/02/23\", \"running\"], \"text_template_based\": \"I did running on 2022/02/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18432\", \"logical_representation\": [\"2022/02/23\", \"breakfast\", \"pancakes\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Avery, Willow. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/02/23?\", \"Jackson, Avery, Willow\"], [\"what did I eat for breakfast on 2022/02/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18433\", \"logical_representation\": [\"2022/02/23\", \"dinner\", \"chinese food\", \"Kinsley, Lydia, Olivia, Rylee, Nevaeh, Piper\"], \"text_template_based\": \"I had chinese food for dinner with Kinsley, Lydia, Olivia, Rylee, Nevaeh, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/02/23?\", \"Kinsley, Lydia, Olivia, Rylee, Nevaeh, Piper\"], [\"what did I eat for dinner on 2022/02/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18434\", \"logical_representation\": [\"2022/02/23\", \"Rylee, Piper, Eva\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Rylee, Piper, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Eva in the late afternoon on 2022/02/23?\", \"43 minutes\"], [\"who did I talk to on 2022/02/23?\", \"Rylee, Piper, Eva\"], [\"Did I talk to Rylee, Piper, Eva on 2022/02/23?\", \"yes\"], [\"Did I talk to anyone on 2022/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18435\", \"logical_representation\": [\"2022/02/23\", \"a movie\", \"44 minutes\"], \"text_template_based\": \"I watched a movie for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/23?\", \"44 minutes\"], [\"what did I watch on tv on 2022/02/23?\", \"a movie\"], [\"Did I watch tv on 2022/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/24\": {\"breakfast\": {\"eid\": \"e18436\", \"logical_representation\": [\"2022/02/24\", \"breakfast\", \"oatmeal\", \"Avery, Jackson\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18437\", \"logical_representation\": [\"2022/02/24\", \"dinner\", \"sushi\", \"Eva, Nevaeh, Claire, Nora, Kinsley, Olivia, Hazel, Rylee, Piper, Layla\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/02/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18438\", \"logical_representation\": [\"2022/02/24\", \"Olivia, Hazel, Lydia\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Olivia, Hazel, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Lydia in the late afternoon on 2022/02/24?\", \"49 minutes\"], [\"who did I talk to on 2022/02/24?\", \"Olivia, Hazel, Lydia\"], [\"Did I talk to Olivia, Hazel, Lydia on 2022/02/24?\", \"yes\"], [\"Did I talk to anyone on 2022/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18439\", \"logical_representation\": [\"2022/02/24\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/02/24?\", \"51 minutes\"], [\"what did I read on 2022/02/24?\", \"a book\"], [\"Did I read on 2022/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18440\", \"logical_representation\": [\"2022/02/24\", \"a tv series\", \"45 minutes\"], \"text_template_based\": \"I watched a tv series for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/24?\", \"45 minutes\"], [\"what did I watch on tv on 2022/02/24?\", \"a tv series\"], [\"Did I watch tv on 2022/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/26\": {\"exercise\": {\"eid\": \"e18445\", \"logical_representation\": [\"2022/02/26\", \"biking\"], \"text_template_based\": \"I did biking on 2022/02/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18446\", \"logical_representation\": [\"2022/02/26\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18447\", \"logical_representation\": [\"2022/02/26\", \"lunch\", \"sandwich\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/02/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18448\", \"logical_representation\": [\"2022/02/26\", \"Eva\", \"late in the evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Eva for 16 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2022/02/26?\", \"16 minutes\"], [\"who did I talk to on 2022/02/26?\", \"Eva\"], [\"Did I talk to Eva on 2022/02/26?\", \"yes\"], [\"Did I talk to anyone on 2022/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18449\", \"logical_representation\": [\"2022/02/26\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/26?\", \"45 minutes\"], [\"what did I watch on tv on 2022/02/26?\", \"news\"], [\"Did I watch tv on 2022/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/27\": {\"breakfast\": {\"eid\": \"e18450\", \"logical_representation\": [\"2022/02/27\", \"breakfast\", \"oatmeal\", \"Olivia\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18451\", \"logical_representation\": [\"2022/02/27\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/02/27?\", \"53 minutes\"], [\"what did I read on 2022/02/27?\", \"news\"], [\"Did I read on 2022/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/28\": {\"breakfast\": {\"eid\": \"e18452\", \"logical_representation\": [\"2022/02/28\", \"breakfast\", \"toast and cheese\", \"Kinsley, Lydia, Avery\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/28\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18453\", \"logical_representation\": [\"2022/02/28\", \"Piper, Hazel\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Piper, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel in the late afternoon on 2022/02/28?\", \"27 minutes\"], [\"who did I talk to on 2022/02/28?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2022/02/28?\", \"yes\"], [\"Did I talk to anyone on 2022/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/02\": {\"exercise\": {\"eid\": \"e18457\", \"logical_representation\": [\"2022/03/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/03/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18458\", \"logical_representation\": [\"2022/03/02\", \"dinner\", \"steak\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18459\", \"logical_representation\": [\"2022/03/02\", \"Layla, Avery\", \"in the early evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Layla, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery in the early evening on 2022/03/02?\", \"46 minutes\"], [\"who did I talk to on 2022/03/02?\", \"Layla, Avery\"], [\"Did I talk to Layla, Avery on 2022/03/02?\", \"yes\"], [\"Did I talk to anyone on 2022/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18460\", \"logical_representation\": [\"2022/03/02\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/03/02?\", \"21 minutes\"], [\"what did I read on 2022/03/02?\", \"news\"], [\"Did I read on 2022/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/04\": {\"breakfast\": {\"eid\": \"e18464\", \"logical_representation\": [\"2022/03/04\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/04\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18465\", \"logical_representation\": [\"2022/03/04\", \"lunch\", \"a burger\", \"Layla, Hazel, Avery, Nora, Piper\"], \"text_template_based\": \"I had a burger for lunch with Layla, Hazel, Avery, Nora, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/03/04?\", \"Layla, Hazel, Avery, Nora, Piper\"], [\"what did I eat for lunch on 2022/03/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18466\", \"logical_representation\": [\"2022/03/04\", \"dinner\", \"sandwich\", \"Kinsley, Layla, Lydia, Olivia, Nora, Eva, Piper, Claire, Piper, Nevaeh, Hazel, Avery, Rylee\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18467\", \"logical_representation\": [\"2022/03/04\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/03/04?\", \"23 minutes\"], [\"what did I read on 2022/03/04?\", \"a book\"], [\"Did I read on 2022/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18468\", \"logical_representation\": [\"2022/03/04\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/04?\", \"48 minutes\"], [\"what did I watch on tv on 2022/03/04?\", \"a tv series\"], [\"Did I watch tv on 2022/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/05\": {\"exercise\": {\"eid\": \"e18469\", \"logical_representation\": [\"2022/03/05\", \"biking\"], \"text_template_based\": \"I did biking on 2022/03/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/05?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18470\", \"logical_representation\": [\"2022/03/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18471\", \"logical_representation\": [\"2022/03/05\", \"dinner\", \"sushi\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18472\", \"logical_representation\": [\"2022/03/05\", \"Lydia, Avery\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Lydia, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery in the early afternoon on 2022/03/05?\", \"36 minutes\"], [\"who did I talk to on 2022/03/05?\", \"Lydia, Avery\"], [\"Did I talk to Lydia, Avery on 2022/03/05?\", \"yes\"], [\"Did I talk to anyone on 2022/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18473\", \"logical_representation\": [\"2022/03/05\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/03/05?\", \"48 minutes\"], [\"what did I read on 2022/03/05?\", \"a book\"], [\"Did I read on 2022/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18474\", \"logical_representation\": [\"2022/03/05\", \"news\", \"29 minutes\"], \"text_template_based\": \"I watched news for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/05?\", \"29 minutes\"], [\"what did I watch on tv on 2022/03/05?\", \"news\"], [\"Did I watch tv on 2022/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/06\": {\"exercise\": {\"eid\": \"e18475\", \"logical_representation\": [\"2022/03/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/03/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18476\", \"logical_representation\": [\"2022/03/06\", \"dinner\", \"fish and chips\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18477\", \"logical_representation\": [\"2022/03/06\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/03/06?\", \"30 minutes\"], [\"what did I read on 2022/03/06?\", \"social media\"], [\"Did I read on 2022/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18478\", \"logical_representation\": [\"2022/03/06\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/06?\", \"19 minutes\"], [\"what did I watch on tv on 2022/03/06?\", \"news\"], [\"Did I watch tv on 2022/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/07\": {\"exercise\": {\"eid\": \"e18479\", \"logical_representation\": [\"2022/03/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/03/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18480\", \"logical_representation\": [\"2022/03/07\", \"dinner\", \"steak\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had steak for dinner with Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/03/07?\", \"Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2022/03/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18481\", \"logical_representation\": [\"2022/03/07\", \"Nevaeh, Layla, Eva, Kinsley\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Layla, Eva, Kinsley for 34 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Eva, Kinsley in the early evening on 2022/03/07?\", \"34 minutes\"], [\"who did I talk to on 2022/03/07?\", \"Nevaeh, Layla, Eva, Kinsley\"], [\"Did I talk to Nevaeh, Layla, Eva, Kinsley on 2022/03/07?\", \"yes\"], [\"Did I talk to anyone on 2022/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18482\", \"logical_representation\": [\"2022/03/07\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/03/07?\", \"20 minutes\"], [\"what did I read on 2022/03/07?\", \"social media\"], [\"Did I read on 2022/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18483\", \"logical_representation\": [\"2022/03/07\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I watched a documentary for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/07?\", \"37 minutes\"], [\"what did I watch on tv on 2022/03/07?\", \"a documentary\"], [\"Did I watch tv on 2022/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/09\": {\"breakfast\": {\"eid\": \"e18486\", \"logical_representation\": [\"2022/03/09\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/09\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18487\", \"logical_representation\": [\"2022/03/09\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/03/09?\", \"44 minutes\"], [\"what did I read on 2022/03/09?\", \"news\"], [\"Did I read on 2022/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18488\", \"logical_representation\": [\"2022/03/09\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I watched a documentary for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/09?\", \"47 minutes\"], [\"what did I watch on tv on 2022/03/09?\", \"a documentary\"], [\"Did I watch tv on 2022/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/10\": {\"breakfast\": {\"eid\": \"e18489\", \"logical_representation\": [\"2022/03/10\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18490\", \"logical_representation\": [\"2022/03/10\", \"lunch\", \"sandwich\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/03/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18491\", \"logical_representation\": [\"2022/03/10\", \"dinner\", \"chinese food\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18492\", \"logical_representation\": [\"2022/03/10\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/03/10?\", \"44 minutes\"], [\"what did I read on 2022/03/10?\", \"a book\"], [\"Did I read on 2022/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18493\", \"logical_representation\": [\"2022/03/10\", \"a tv series\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/10?\", \"44 minutes\"], [\"what did I watch on tv on 2022/03/10?\", \"a tv series\"], [\"Did I watch tv on 2022/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/12\": {\"exercise\": {\"eid\": \"e18496\", \"logical_representation\": [\"2022/03/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/03/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18497\", \"logical_representation\": [\"2022/03/12\", \"dinner\", \"a burger\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18498\", \"logical_representation\": [\"2022/03/12\", \"Piper, Lydia, Eva\", \"late in the evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Piper, Lydia, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Eva late in the evening on 2022/03/12?\", \"35 minutes\"], [\"who did I talk to on 2022/03/12?\", \"Piper, Lydia, Eva\"], [\"Did I talk to Piper, Lydia, Eva on 2022/03/12?\", \"yes\"], [\"Did I talk to anyone on 2022/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18499\", \"logical_representation\": [\"2022/03/12\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/03/12?\", \"37 minutes\"], [\"what did I read on 2022/03/12?\", \"social media\"], [\"Did I read on 2022/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/13\": {\"breakfast\": {\"eid\": \"e18500\", \"logical_representation\": [\"2022/03/13\", \"breakfast\", \"pancakes\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18501\", \"logical_representation\": [\"2022/03/13\", \"Claire, Piper, Rylee\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Rylee for 33 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Rylee in the early evening on 2022/03/13?\", \"33 minutes\"], [\"who did I talk to on 2022/03/13?\", \"Claire, Piper, Rylee\"], [\"Did I talk to Claire, Piper, Rylee on 2022/03/13?\", \"yes\"], [\"Did I talk to anyone on 2022/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18502\", \"logical_representation\": [\"2022/03/13\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/03/13?\", \"43 minutes\"], [\"what did I read on 2022/03/13?\", \"social media\"], [\"Did I read on 2022/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18503\", \"logical_representation\": [\"2022/03/13\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/13?\", \"37 minutes\"], [\"what did I watch on tv on 2022/03/13?\", \"news\"], [\"Did I watch tv on 2022/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/14\": {\"exercise\": {\"eid\": \"e18504\", \"logical_representation\": [\"2022/03/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/03/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18505\", \"logical_representation\": [\"2022/03/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Rylee, Piper\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18506\", \"logical_representation\": [\"2022/03/14\", \"Lydia, Nora, Layla\", \"in the early afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Lydia, Nora, Layla for 18 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Layla in the early afternoon on 2022/03/14?\", \"18 minutes\"], [\"who did I talk to on 2022/03/14?\", \"Lydia, Nora, Layla\"], [\"Did I talk to Lydia, Nora, Layla on 2022/03/14?\", \"yes\"], [\"Did I talk to anyone on 2022/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/15\": {\"lunch\": {\"eid\": \"e18507\", \"logical_representation\": [\"2022/03/15\", \"lunch\", \"fish and chips\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had lunch with Avery, Jackson, Willow. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/03/15?\", \"Avery, Jackson, Willow\"], [\"what did I eat for lunch on 2022/03/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18508\", \"logical_representation\": [\"2022/03/15\", \"Layla, Piper, Claire\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Claire for 10 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Claire in the early evening on 2022/03/15?\", \"10 minutes\"], [\"who did I talk to on 2022/03/15?\", \"Layla, Piper, Claire\"], [\"Did I talk to Layla, Piper, Claire on 2022/03/15?\", \"yes\"], [\"Did I talk to anyone on 2022/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18509\", \"logical_representation\": [\"2022/03/15\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/03/15?\", \"44 minutes\"], [\"what did I read on 2022/03/15?\", \"social media\"], [\"Did I read on 2022/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/16\": {\"exercise\": {\"eid\": \"e18510\", \"logical_representation\": [\"2022/03/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/03/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18511\", \"logical_representation\": [\"2022/03/16\", \"Piper, Eva, Piper, Claire\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Piper, Eva, Piper, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Piper, Claire in the early evening on 2022/03/16?\", \"18 minutes\"], [\"who did I talk to on 2022/03/16?\", \"Piper, Eva, Piper, Claire\"], [\"Did I talk to Piper, Eva, Piper, Claire on 2022/03/16?\", \"yes\"], [\"Did I talk to anyone on 2022/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/17\": {\"breakfast\": {\"eid\": \"e18512\", \"logical_representation\": [\"2022/03/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Avery, Nora, Piper, Rylee, Lydia\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18513\", \"logical_representation\": [\"2022/03/17\", \"Lydia, Olivia, Avery, Nevaeh\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Lydia, Olivia, Avery, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Avery, Nevaeh in the morning on 2022/03/17?\", \"45 minutes\"], [\"who did I talk to on 2022/03/17?\", \"Lydia, Olivia, Avery, Nevaeh\"], [\"Did I talk to Lydia, Olivia, Avery, Nevaeh on 2022/03/17?\", \"yes\"], [\"Did I talk to anyone on 2022/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18514\", \"logical_representation\": [\"2022/03/17\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/03/17?\", \"6 minutes\"], [\"what did I read on 2022/03/17?\", \"a book\"], [\"Did I read on 2022/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/18\": {\"breakfast\": {\"eid\": \"e18515\", \"logical_representation\": [\"2022/03/18\", \"breakfast\", \"toast and cheese\", \"Layla, Eva, Nora\"], \"text_template_based\": \"I had breakfast with Layla, Eva, Nora. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/03/18?\", \"Layla, Eva, Nora\"], [\"what did I eat for breakfast on 2022/03/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18516\", \"logical_representation\": [\"2022/03/18\", \"lunch\", \"sandwich\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had lunch with Benjamin, Jackson. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/03/18?\", \"Benjamin, Jackson\"], [\"what did I eat for lunch on 2022/03/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18517\", \"logical_representation\": [\"2022/03/18\", \"dinner\", \"chinese food\", \"Layla, Lydia, Hazel, Nora, Avery, Piper\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18518\", \"logical_representation\": [\"2022/03/18\", \"a documentary\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/18?\", \"38 minutes\"], [\"what did I watch on tv on 2022/03/18?\", \"a documentary\"], [\"Did I watch tv on 2022/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/19\": {\"exercise\": {\"eid\": \"e18519\", \"logical_representation\": [\"2022/03/19\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/03/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/19?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18520\", \"logical_representation\": [\"2022/03/19\", \"breakfast\", \"oatmeal\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/19\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18521\", \"logical_representation\": [\"2022/03/19\", \"lunch\", \"sushi\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/03/19\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2022/03/20\": {\"dinner\": {\"eid\": \"e18522\", \"logical_representation\": [\"2022/03/20\", \"dinner\", \"tacos\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18523\", \"logical_representation\": [\"2022/03/20\", \"Claire, Nevaeh, Eva, Layla\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Claire, Nevaeh, Eva, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Eva, Layla in the early afternoon on 2022/03/20?\", \"7 minutes\"], [\"who did I talk to on 2022/03/20?\", \"Claire, Nevaeh, Eva, Layla\"], [\"Did I talk to Claire, Nevaeh, Eva, Layla on 2022/03/20?\", \"yes\"], [\"Did I talk to anyone on 2022/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/21\": {\"exercise\": {\"eid\": \"e18524\", \"logical_representation\": [\"2022/03/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/03/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18525\", \"logical_representation\": [\"2022/03/21\", \"Layla\", \"in the early afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Layla for 43 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2022/03/21?\", \"43 minutes\"], [\"who did I talk to on 2022/03/21?\", \"Layla\"], [\"Did I talk to Layla on 2022/03/21?\", \"yes\"], [\"Did I talk to anyone on 2022/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18526\", \"logical_representation\": [\"2022/03/21\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I watched a tv series for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/21?\", \"28 minutes\"], [\"what did I watch on tv on 2022/03/21?\", \"a tv series\"], [\"Did I watch tv on 2022/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/22\": {\"exercise\": {\"eid\": \"e18527\", \"logical_representation\": [\"2022/03/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/03/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18528\", \"logical_representation\": [\"2022/03/22\", \"lunch\", \"pasta\", \"Piper, Olivia, Piper, Nora, Kinsley, Eva, Nevaeh, Rylee\"], \"text_template_based\": \"I had pasta for lunch with Piper, Olivia, Piper, Nora, Kinsley, Eva, Nevaeh, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/03/22?\", \"Piper, Olivia, Piper, Nora, Kinsley, Eva, Nevaeh, Rylee\"], [\"what did I eat for lunch on 2022/03/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18529\", \"logical_representation\": [\"2022/03/22\", \"dinner\", \"chinese food\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18530\", \"logical_representation\": [\"2022/03/22\", \"Layla, Piper, Lydia\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Lydia for 23 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Lydia in the early evening on 2022/03/22?\", \"23 minutes\"], [\"who did I talk to on 2022/03/22?\", \"Layla, Piper, Lydia\"], [\"Did I talk to Layla, Piper, Lydia on 2022/03/22?\", \"yes\"], [\"Did I talk to anyone on 2022/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18531\", \"logical_representation\": [\"2022/03/22\", \"news\", \"35 minutes\"], \"text_template_based\": \"I watched news for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/22?\", \"35 minutes\"], [\"what did I watch on tv on 2022/03/22?\", \"news\"], [\"Did I watch tv on 2022/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/23\": {\"exercise\": {\"eid\": \"e18532\", \"logical_representation\": [\"2022/03/23\", \"biking\"], \"text_template_based\": \"I did biking on 2022/03/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/23?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18533\", \"logical_representation\": [\"2022/03/23\", \"lunch\", \"sandwich\", \"Nevaeh\"], \"text_template_based\": \"I had sandwich for lunch with Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/03/23?\", \"Nevaeh\"], [\"what did I eat for lunch on 2022/03/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18534\", \"logical_representation\": [\"2022/03/23\", \"dinner\", \"steak\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had steak for dinner with Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/03/23?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2022/03/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18535\", \"logical_representation\": [\"2022/03/23\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/03/23?\", \"38 minutes\"], [\"what did I read on 2022/03/23?\", \"a book\"], [\"Did I read on 2022/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/25\": {\"breakfast\": {\"eid\": \"e18537\", \"logical_representation\": [\"2022/03/25\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18538\", \"logical_representation\": [\"2022/03/25\", \"lunch\", \"steak\", \"Claire, Hazel, Piper, Avery, Lydia, Nora, Piper, Kinsley, Nevaeh, Eva, Layla, Rylee\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/03/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18539\", \"logical_representation\": [\"2022/03/25\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/03/25?\", \"10 minutes\"], [\"what did I read on 2022/03/25?\", \"a book\"], [\"Did I read on 2022/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/27\": {\"exercise\": {\"eid\": \"e18543\", \"logical_representation\": [\"2022/03/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/03/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18544\", \"logical_representation\": [\"2022/03/27\", \"breakfast\", \"toast and cheese\", \"Lydia, Avery\"], \"text_template_based\": \"I had breakfast with Lydia, Avery. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/03/27?\", \"Lydia, Avery\"], [\"what did I eat for breakfast on 2022/03/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18545\", \"logical_representation\": [\"2022/03/27\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/27?\", \"36 minutes\"], [\"what did I watch on tv on 2022/03/27?\", \"a movie\"], [\"Did I watch tv on 2022/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/28\": {\"breakfast\": {\"eid\": \"e18546\", \"logical_representation\": [\"2022/03/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18547\", \"logical_representation\": [\"2022/03/28\", \"lunch\", \"sushi\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/03/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18548\", \"logical_representation\": [\"2022/03/28\", \"dinner\", \"chinese food\", \"Eva, Lydia, Rylee, Hazel, Nora, Kinsley, Piper, Layla, Avery\"], \"text_template_based\": \"I had dinner with Eva, Lydia, Rylee, Hazel, Nora, Kinsley, Piper, Layla, Avery. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/03/28?\", \"Eva, Lydia, Rylee, Hazel, Nora, Kinsley, Piper, Layla, Avery\"], [\"what did I eat for dinner on 2022/03/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18549\", \"logical_representation\": [\"2022/03/28\", \"Nora, Layla, Lydia, Claire\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Nora, Layla, Lydia, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Lydia, Claire in the early afternoon on 2022/03/28?\", \"28 minutes\"], [\"who did I talk to on 2022/03/28?\", \"Nora, Layla, Lydia, Claire\"], [\"Did I talk to Nora, Layla, Lydia, Claire on 2022/03/28?\", \"yes\"], [\"Did I talk to anyone on 2022/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18550\", \"logical_representation\": [\"2022/03/28\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/03/28?\", \"18 minutes\"], [\"what did I read on 2022/03/28?\", \"a book\"], [\"Did I read on 2022/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/30\": {\"exercise\": {\"eid\": \"e18557\", \"logical_representation\": [\"2022/03/30\", \"biking\"], \"text_template_based\": \"I did biking on 2022/03/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18558\", \"logical_representation\": [\"2022/03/30\", \"Claire, Avery\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I talked to Claire, Avery for 7 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery in the early evening on 2022/03/30?\", \"7 minutes\"], [\"who did I talk to on 2022/03/30?\", \"Claire, Avery\"], [\"Did I talk to Claire, Avery on 2022/03/30?\", \"yes\"], [\"Did I talk to anyone on 2022/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18559\", \"logical_representation\": [\"2022/03/30\", \"news\", \"24 minutes\"], \"text_template_based\": \"I watched news for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/30?\", \"24 minutes\"], [\"what did I watch on tv on 2022/03/30?\", \"news\"], [\"Did I watch tv on 2022/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/31\": {\"exercise\": {\"eid\": \"e18560\", \"logical_representation\": [\"2022/03/31\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/03/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/31?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18561\", \"logical_representation\": [\"2022/03/31\", \"lunch\", \"chinese food\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/03/31\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18562\", \"logical_representation\": [\"2022/03/31\", \"dinner\", \"pasta\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/31\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18563\", \"logical_representation\": [\"2022/03/31\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/03/31?\", \"39 minutes\"], [\"what did I read on 2022/03/31?\", \"social media\"], [\"Did I read on 2022/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/01\": {\"exercise\": {\"eid\": \"e18564\", \"logical_representation\": [\"2022/04/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/04/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18565\", \"logical_representation\": [\"2022/04/01\", \"a documentary\", \"31 minutes\"], \"text_template_based\": \"I watched a documentary for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/01?\", \"31 minutes\"], [\"what did I watch on tv on 2022/04/01?\", \"a documentary\"], [\"Did I watch tv on 2022/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/04\": {\"breakfast\": {\"eid\": \"e18577\", \"logical_representation\": [\"2022/04/04\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Carter, Emily, Kayden, Andrew. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/04/04?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for breakfast on 2022/04/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18578\", \"logical_representation\": [\"2022/04/04\", \"Nora, Hazel\", \"during lunch hours\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Nora, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel during lunch hours on 2022/04/04?\", \"32 minutes\"], [\"who did I talk to on 2022/04/04?\", \"Nora, Hazel\"], [\"Did I talk to Nora, Hazel on 2022/04/04?\", \"yes\"], [\"Did I talk to anyone on 2022/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18579\", \"logical_representation\": [\"2022/04/04\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/04/04?\", \"30 minutes\"], [\"what did I read on 2022/04/04?\", \"a book\"], [\"Did I read on 2022/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/06\": {\"read\": {\"eid\": \"e18586\", \"logical_representation\": [\"2022/04/06\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/04/06?\", \"29 minutes\"], [\"what did I read on 2022/04/06?\", \"a book\"], [\"Did I read on 2022/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18587\", \"logical_representation\": [\"2022/04/06\", \"news\", \"9 minutes\"], \"text_template_based\": \"I watched news for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/06?\", \"9 minutes\"], [\"what did I watch on tv on 2022/04/06?\", \"news\"], [\"Did I watch tv on 2022/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/07\": {\"chat0\": {\"eid\": \"e18588\", \"logical_representation\": [\"2022/04/07\", \"Rylee, Avery\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery in the early evening on 2022/04/07?\", \"39 minutes\"], [\"who did I talk to on 2022/04/07?\", \"Rylee, Avery\"], [\"Did I talk to Rylee, Avery on 2022/04/07?\", \"yes\"], [\"Did I talk to anyone on 2022/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18589\", \"logical_representation\": [\"2022/04/07\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/04/07?\", \"25 minutes\"], [\"what did I read on 2022/04/07?\", \"social media\"], [\"Did I read on 2022/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/08\": {\"lunch\": {\"eid\": \"e18590\", \"logical_representation\": [\"2022/04/08\", \"lunch\", \"fish and chips\", \"Kayden, Emily\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/04/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18591\", \"logical_representation\": [\"2022/04/08\", \"Layla, Olivia\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Layla, Olivia for 34 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia in the late afternoon on 2022/04/08?\", \"34 minutes\"], [\"who did I talk to on 2022/04/08?\", \"Layla, Olivia\"], [\"Did I talk to Layla, Olivia on 2022/04/08?\", \"yes\"], [\"Did I talk to anyone on 2022/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18592\", \"logical_representation\": [\"2022/04/08\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/04/08?\", \"38 minutes\"], [\"what did I read on 2022/04/08?\", \"a book\"], [\"Did I read on 2022/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/09\": {\"exercise\": {\"eid\": \"e18593\", \"logical_representation\": [\"2022/04/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/04/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18594\", \"logical_representation\": [\"2022/04/09\", \"lunch\", \"chinese food\", \"Rylee, Eva, Claire, Olivia, Avery, Lydia, Piper\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/04/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18595\", \"logical_representation\": [\"2022/04/09\", \"Nevaeh\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh during lunch hours on 2022/04/09?\", \"23 minutes\"], [\"who did I talk to on 2022/04/09?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2022/04/09?\", \"yes\"], [\"Did I talk to anyone on 2022/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18596\", \"logical_representation\": [\"2022/04/09\", \"news\", \"20 minutes\"], \"text_template_based\": \"I watched news for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/09?\", \"20 minutes\"], [\"what did I watch on tv on 2022/04/09?\", \"news\"], [\"Did I watch tv on 2022/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/10\": {\"dinner\": {\"eid\": \"e18597\", \"logical_representation\": [\"2022/04/10\", \"dinner\", \"sushi\", \"Emily, Andrew\"], \"text_template_based\": \"I had sushi for dinner with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/04/10?\", \"Emily, Andrew\"], [\"what did I eat for dinner on 2022/04/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18598\", \"logical_representation\": [\"2022/04/10\", \"Nora, Piper, Claire, Eva\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Nora, Piper, Claire, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Claire, Eva in the late afternoon on 2022/04/10?\", \"50 minutes\"], [\"who did I talk to on 2022/04/10?\", \"Nora, Piper, Claire, Eva\"], [\"Did I talk to Nora, Piper, Claire, Eva on 2022/04/10?\", \"yes\"], [\"Did I talk to anyone on 2022/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18599\", \"logical_representation\": [\"2022/04/10\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/04/10?\", \"18 minutes\"], [\"what did I read on 2022/04/10?\", \"a book\"], [\"Did I read on 2022/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18600\", \"logical_representation\": [\"2022/04/10\", \"news\", \"38 minutes\"], \"text_template_based\": \"I watched news for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/10?\", \"38 minutes\"], [\"what did I watch on tv on 2022/04/10?\", \"news\"], [\"Did I watch tv on 2022/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/11\": {\"exercise\": {\"eid\": \"e18601\", \"logical_representation\": [\"2022/04/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/04/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18602\", \"logical_representation\": [\"2022/04/11\", \"dinner\", \"tacos\", \"Kayden, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/04/11?\", \"Kayden, Carter\"], [\"what did I eat for dinner on 2022/04/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18603\", \"logical_representation\": [\"2022/04/11\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/04/11?\", \"16 minutes\"], [\"what did I read on 2022/04/11?\", \"social media\"], [\"Did I read on 2022/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18604\", \"logical_representation\": [\"2022/04/11\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I watched a documentary for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/11?\", \"44 minutes\"], [\"what did I watch on tv on 2022/04/11?\", \"a documentary\"], [\"Did I watch tv on 2022/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/13\": {\"lunch\": {\"eid\": \"e18608\", \"logical_representation\": [\"2022/04/13\", \"lunch\", \"chinese food\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had chinese food for lunch with Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/04/13?\", \"Benjamin, Jackson\"], [\"what did I eat for lunch on 2022/04/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18609\", \"logical_representation\": [\"2022/04/13\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/04/13?\", \"54 minutes\"], [\"what did I read on 2022/04/13?\", \"a book\"], [\"Did I read on 2022/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/14\": {\"exercise\": {\"eid\": \"e18610\", \"logical_representation\": [\"2022/04/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/04/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18611\", \"logical_representation\": [\"2022/04/14\", \"lunch\", \"sandwich\", \"Andrew, Carter\"], \"text_template_based\": \"I had sandwich for lunch with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/04/14?\", \"Andrew, Carter\"], [\"what did I eat for lunch on 2022/04/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18612\", \"logical_representation\": [\"2022/04/14\", \"Hazel, Olivia\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Hazel, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia during lunch hours on 2022/04/14?\", \"35 minutes\"], [\"who did I talk to on 2022/04/14?\", \"Hazel, Olivia\"], [\"Did I talk to Hazel, Olivia on 2022/04/14?\", \"yes\"], [\"Did I talk to anyone on 2022/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18613\", \"logical_representation\": [\"2022/04/14\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/04/14?\", \"19 minutes\"], [\"what did I read on 2022/04/14?\", \"social media\"], [\"Did I read on 2022/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/15\": {\"lunch\": {\"eid\": \"e18614\", \"logical_representation\": [\"2022/04/15\", \"lunch\", \"steak\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/04/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18615\", \"logical_representation\": [\"2022/04/15\", \"Nevaeh, Piper\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nevaeh, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper in the early evening on 2022/04/15?\", \"29 minutes\"], [\"who did I talk to on 2022/04/15?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2022/04/15?\", \"yes\"], [\"Did I talk to anyone on 2022/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18616\", \"logical_representation\": [\"2022/04/15\", \"Olivia, Avery, Piper, Layla\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I talked to Olivia, Avery, Piper, Layla for 39 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Piper, Layla in the morning on 2022/04/15?\", \"39 minutes\"], [\"who did I talk to on 2022/04/15?\", \"Olivia, Avery, Piper, Layla\"], [\"Did I talk to Olivia, Avery, Piper, Layla on 2022/04/15?\", \"yes\"], [\"Did I talk to anyone on 2022/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18617\", \"logical_representation\": [\"2022/04/15\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/04/15?\", \"51 minutes\"], [\"what did I read on 2022/04/15?\", \"social media\"], [\"Did I read on 2022/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18618\", \"logical_representation\": [\"2022/04/15\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/15?\", \"23 minutes\"], [\"what did I watch on tv on 2022/04/15?\", \"a movie\"], [\"Did I watch tv on 2022/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/20\": {\"exercise\": {\"eid\": \"e18634\", \"logical_representation\": [\"2022/04/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/04/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18635\", \"logical_representation\": [\"2022/04/20\", \"Piper, Avery, Piper\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Piper for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Piper in the early afternoon on 2022/04/20?\", \"42 minutes\"], [\"who did I talk to on 2022/04/20?\", \"Piper, Avery, Piper\"], [\"Did I talk to Piper, Avery, Piper on 2022/04/20?\", \"yes\"], [\"Did I talk to anyone on 2022/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18636\", \"logical_representation\": [\"2022/04/20\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/04/20?\", \"13 minutes\"], [\"what did I read on 2022/04/20?\", \"news\"], [\"Did I read on 2022/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18637\", \"logical_representation\": [\"2022/04/20\", \"a movie\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/20?\", \"54 minutes\"], [\"what did I watch on tv on 2022/04/20?\", \"a movie\"], [\"Did I watch tv on 2022/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/21\": {\"exercise\": {\"eid\": \"e18638\", \"logical_representation\": [\"2022/04/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/04/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18639\", \"logical_representation\": [\"2022/04/21\", \"a documentary\", \"21 minutes\"], \"text_template_based\": \"I watched a documentary for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/21?\", \"21 minutes\"], [\"what did I watch on tv on 2022/04/21?\", \"a documentary\"], [\"Did I watch tv on 2022/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/22\": {\"breakfast\": {\"eid\": \"e18640\", \"logical_representation\": [\"2022/04/22\", \"breakfast\", \"cereals\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Emily, Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/04/22?\", \"Emily, Kayden\"], [\"what did I eat for breakfast on 2022/04/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18641\", \"logical_representation\": [\"2022/04/22\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/22?\", \"29 minutes\"], [\"what did I watch on tv on 2022/04/22?\", \"news\"], [\"Did I watch tv on 2022/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/23\": {\"exercise\": {\"eid\": \"e18642\", \"logical_representation\": [\"2022/04/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/04/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18643\", \"logical_representation\": [\"2022/04/23\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I had oatmeal for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/04/23?\", \"Emily\"], [\"what did I eat for breakfast on 2022/04/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18644\", \"logical_representation\": [\"2022/04/23\", \"lunch\", \"steak\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I had lunch with Willow, Jackson, Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/04/23?\", \"Willow, Jackson, Avery\"], [\"what did I eat for lunch on 2022/04/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18645\", \"logical_representation\": [\"2022/04/23\", \"Olivia, Lydia\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Olivia, Lydia for 47 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia in the early afternoon on 2022/04/23?\", \"47 minutes\"], [\"who did I talk to on 2022/04/23?\", \"Olivia, Lydia\"], [\"Did I talk to Olivia, Lydia on 2022/04/23?\", \"yes\"], [\"Did I talk to anyone on 2022/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18646\", \"logical_representation\": [\"2022/04/23\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/04/23?\", \"12 minutes\"], [\"what did I read on 2022/04/23?\", \"news\"], [\"Did I read on 2022/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18647\", \"logical_representation\": [\"2022/04/23\", \"a movie\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/23?\", \"9 minutes\"], [\"what did I watch on tv on 2022/04/23?\", \"a movie\"], [\"Did I watch tv on 2022/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/25\": {\"breakfast\": {\"eid\": \"e18652\", \"logical_representation\": [\"2022/04/25\", \"breakfast\", \"oatmeal\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/04/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18653\", \"logical_representation\": [\"2022/04/25\", \"Piper, Nora, Lydia\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Lydia for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Lydia during lunch hours on 2022/04/25?\", \"26 minutes\"], [\"who did I talk to on 2022/04/25?\", \"Piper, Nora, Lydia\"], [\"Did I talk to Piper, Nora, Lydia on 2022/04/25?\", \"yes\"], [\"Did I talk to anyone on 2022/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18654\", \"logical_representation\": [\"2022/04/25\", \"Avery, Nevaeh, Piper\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I talked to Avery, Nevaeh, Piper for 20 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Piper during lunch hours on 2022/04/25?\", \"20 minutes\"], [\"who did I talk to on 2022/04/25?\", \"Avery, Nevaeh, Piper\"], [\"Did I talk to Avery, Nevaeh, Piper on 2022/04/25?\", \"yes\"], [\"Did I talk to anyone on 2022/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/26\": {\"exercise\": {\"eid\": \"e18655\", \"logical_representation\": [\"2022/04/26\", \"biking\"], \"text_template_based\": \"I did biking on 2022/04/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18656\", \"logical_representation\": [\"2022/04/26\", \"breakfast\", \"pancakes\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/04/26\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18657\", \"logical_representation\": [\"2022/04/26\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/04/26?\", \"5 minutes\"], [\"what did I read on 2022/04/26?\", \"a book\"], [\"Did I read on 2022/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/27\": {\"read\": {\"eid\": \"e18658\", \"logical_representation\": [\"2022/04/27\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/04/27?\", \"18 minutes\"], [\"what did I read on 2022/04/27?\", \"a book\"], [\"Did I read on 2022/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18659\", \"logical_representation\": [\"2022/04/27\", \"news\", \"32 minutes\"], \"text_template_based\": \"I watched news for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/27?\", \"32 minutes\"], [\"what did I watch on tv on 2022/04/27?\", \"news\"], [\"Did I watch tv on 2022/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/28\": {\"exercise\": {\"eid\": \"e18660\", \"logical_representation\": [\"2022/04/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/04/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18661\", \"logical_representation\": [\"2022/04/28\", \"breakfast\", \"cereals\", \"Kayden, Emily\"], \"text_template_based\": \"I had cereals for breakfast with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/04/28?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2022/04/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18662\", \"logical_representation\": [\"2022/04/28\", \"dinner\", \"a burger\", \"Carter, Andrew\"], \"text_template_based\": \"I had a burger for dinner with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/04/28?\", \"Carter, Andrew\"], [\"what did I eat for dinner on 2022/04/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18663\", \"logical_representation\": [\"2022/04/28\", \"Rylee\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2022/04/28?\", \"50 minutes\"], [\"who did I talk to on 2022/04/28?\", \"Rylee\"], [\"Did I talk to Rylee on 2022/04/28?\", \"yes\"], [\"Did I talk to anyone on 2022/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18664\", \"logical_representation\": [\"2022/04/28\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/04/28?\", \"28 minutes\"], [\"what did I read on 2022/04/28?\", \"a book\"], [\"Did I read on 2022/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18665\", \"logical_representation\": [\"2022/04/28\", \"news\", \"31 minutes\"], \"text_template_based\": \"I watched news for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/28?\", \"31 minutes\"], [\"what did I watch on tv on 2022/04/28?\", \"news\"], [\"Did I watch tv on 2022/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/29\": {\"lunch\": {\"eid\": \"e18666\", \"logical_representation\": [\"2022/04/29\", \"lunch\", \"sandwich\", \"Olivia, Claire, Rylee, Nora, Nevaeh, Hazel, Layla, Lydia, Kinsley\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/04/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2022/04/30\": {\"breakfast\": {\"eid\": \"e18667\", \"logical_representation\": [\"2022/04/30\", \"breakfast\", \"toast and cheese\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Emily, Andrew, Kayden. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/04/30?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for breakfast on 2022/04/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18668\", \"logical_representation\": [\"2022/04/30\", \"lunch\", \"a burger\", \"Olivia\"], \"text_template_based\": \"I had a burger for lunch with Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/04/30?\", \"Olivia\"], [\"what did I eat for lunch on 2022/04/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18669\", \"logical_representation\": [\"2022/04/30\", \"Piper\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Piper for 20 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2022/04/30?\", \"20 minutes\"], [\"who did I talk to on 2022/04/30?\", \"Piper\"], [\"Did I talk to Piper on 2022/04/30?\", \"yes\"], [\"Did I talk to anyone on 2022/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18670\", \"logical_representation\": [\"2022/04/30\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I watched a documentary for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/30?\", \"13 minutes\"], [\"what did I watch on tv on 2022/04/30?\", \"a documentary\"], [\"Did I watch tv on 2022/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/01\": {\"exercise\": {\"eid\": \"e18671\", \"logical_representation\": [\"2022/05/01\", \"biking\"], \"text_template_based\": \"I did biking on 2022/05/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/01?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18672\", \"logical_representation\": [\"2022/05/01\", \"dinner\", \"steak\", \"Andrew, Emily\"], \"text_template_based\": \"I had steak for dinner with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/05/01?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2022/05/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18673\", \"logical_representation\": [\"2022/05/01\", \"Avery, Kinsley, Piper, Hazel\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Avery, Kinsley, Piper, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley, Piper, Hazel in the early afternoon on 2022/05/01?\", \"19 minutes\"], [\"who did I talk to on 2022/05/01?\", \"Avery, Kinsley, Piper, Hazel\"], [\"Did I talk to Avery, Kinsley, Piper, Hazel on 2022/05/01?\", \"yes\"], [\"Did I talk to anyone on 2022/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/04\": {\"breakfast\": {\"eid\": \"e18678\", \"logical_representation\": [\"2022/05/04\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/05/04?\", \"Emily\"], [\"what did I eat for breakfast on 2022/05/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18679\", \"logical_representation\": [\"2022/05/04\", \"dinner\", \"steak\", \"Eva, Piper\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18680\", \"logical_representation\": [\"2022/05/04\", \"Avery, Eva\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Avery, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva in the morning on 2022/05/04?\", \"15 minutes\"], [\"who did I talk to on 2022/05/04?\", \"Avery, Eva\"], [\"Did I talk to Avery, Eva on 2022/05/04?\", \"yes\"], [\"Did I talk to anyone on 2022/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18681\", \"logical_representation\": [\"2022/05/04\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I watched a movie for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/04?\", \"18 minutes\"], [\"what did I watch on tv on 2022/05/04?\", \"a movie\"], [\"Did I watch tv on 2022/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/05\": {\"lunch\": {\"eid\": \"e18682\", \"logical_representation\": [\"2022/05/05\", \"lunch\", \"a burger\", \"Nora, Avery, Piper, Kinsley, Rylee, Claire\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/05/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18683\", \"logical_representation\": [\"2022/05/05\", \"news\", \"37 minutes\"], \"text_template_based\": \"I watched news for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/05?\", \"37 minutes\"], [\"what did I watch on tv on 2022/05/05?\", \"news\"], [\"Did I watch tv on 2022/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/06\": {\"breakfast\": {\"eid\": \"e18684\", \"logical_representation\": [\"2022/05/06\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/05/06?\", \"Andrew, Kayden\"], [\"what did I eat for breakfast on 2022/05/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18685\", \"logical_representation\": [\"2022/05/06\", \"lunch\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/05/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18686\", \"logical_representation\": [\"2022/05/06\", \"dinner\", \"pasta\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18687\", \"logical_representation\": [\"2022/05/06\", \"Rylee, Olivia\", \"in the morning\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Rylee, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia in the morning on 2022/05/06?\", \"53 minutes\"], [\"who did I talk to on 2022/05/06?\", \"Rylee, Olivia\"], [\"Did I talk to Rylee, Olivia on 2022/05/06?\", \"yes\"], [\"Did I talk to anyone on 2022/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18688\", \"logical_representation\": [\"2022/05/06\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/05/06?\", \"19 minutes\"], [\"what did I read on 2022/05/06?\", \"news\"], [\"Did I read on 2022/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18689\", \"logical_representation\": [\"2022/05/06\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I watched a documentary for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/06?\", \"42 minutes\"], [\"what did I watch on tv on 2022/05/06?\", \"a documentary\"], [\"Did I watch tv on 2022/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/07\": {\"dinner\": {\"eid\": \"e18690\", \"logical_representation\": [\"2022/05/07\", \"dinner\", \"tacos\", \"Lydia, Avery, Layla, Rylee, Kinsley, Olivia\"], \"text_template_based\": \"I had dinner with Lydia, Avery, Layla, Rylee, Kinsley, Olivia. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/05/07?\", \"Lydia, Avery, Layla, Rylee, Kinsley, Olivia\"], [\"what did I eat for dinner on 2022/05/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18691\", \"logical_representation\": [\"2022/05/07\", \"Olivia, Rylee\", \"during lunch hours\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Olivia, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee during lunch hours on 2022/05/07?\", \"45 minutes\"], [\"who did I talk to on 2022/05/07?\", \"Olivia, Rylee\"], [\"Did I talk to Olivia, Rylee on 2022/05/07?\", \"yes\"], [\"Did I talk to anyone on 2022/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18692\", \"logical_representation\": [\"2022/05/07\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/07?\", \"28 minutes\"], [\"what did I watch on tv on 2022/05/07?\", \"a movie\"], [\"Did I watch tv on 2022/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/09\": {\"breakfast\": {\"eid\": \"e18697\", \"logical_representation\": [\"2022/05/09\", \"breakfast\", \"pancakes\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18698\", \"logical_representation\": [\"2022/05/09\", \"dinner\", \"sushi\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18699\", \"logical_representation\": [\"2022/05/09\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/05/09?\", \"51 minutes\"], [\"what did I read on 2022/05/09?\", \"news\"], [\"Did I read on 2022/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/11\": {\"lunch\": {\"eid\": \"e18704\", \"logical_representation\": [\"2022/05/11\", \"lunch\", \"sushi\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/05/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18705\", \"logical_representation\": [\"2022/05/11\", \"dinner\", \"tacos\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18706\", \"logical_representation\": [\"2022/05/11\", \"Hazel\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2022/05/11?\", \"23 minutes\"], [\"who did I talk to on 2022/05/11?\", \"Hazel\"], [\"Did I talk to Hazel on 2022/05/11?\", \"yes\"], [\"Did I talk to anyone on 2022/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18707\", \"logical_representation\": [\"2022/05/11\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/05/11?\", \"41 minutes\"], [\"what did I read on 2022/05/11?\", \"news\"], [\"Did I read on 2022/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/13\": {\"breakfast\": {\"eid\": \"e18712\", \"logical_representation\": [\"2022/05/13\", \"breakfast\", \"peanut-butter-jam\", \"Claire, Olivia, Lydia, Rylee, Piper, Layla\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18713\", \"logical_representation\": [\"2022/05/13\", \"lunch\", \"tacos\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/05/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18714\", \"logical_representation\": [\"2022/05/13\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/05/13?\", \"13 minutes\"], [\"what did I read on 2022/05/13?\", \"a book\"], [\"Did I read on 2022/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18715\", \"logical_representation\": [\"2022/05/13\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/13?\", \"32 minutes\"], [\"what did I watch on tv on 2022/05/13?\", \"a tv series\"], [\"Did I watch tv on 2022/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/14\": {\"exercise\": {\"eid\": \"e18716\", \"logical_representation\": [\"2022/05/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/05/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18717\", \"logical_representation\": [\"2022/05/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18718\", \"logical_representation\": [\"2022/05/14\", \"dinner\", \"sandwich\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2022/05/17\": {\"exercise\": {\"eid\": \"e18725\", \"logical_representation\": [\"2022/05/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/05/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18726\", \"logical_representation\": [\"2022/05/17\", \"breakfast\", \"cereals\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/17\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18727\", \"logical_representation\": [\"2022/05/17\", \"lunch\", \"chinese food\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had chinese food for lunch with Jackson, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/05/17?\", \"Jackson, Willow, Avery\"], [\"what did I eat for lunch on 2022/05/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18728\", \"logical_representation\": [\"2022/05/17\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/05/17?\", \"16 minutes\"], [\"what did I read on 2022/05/17?\", \"a book\"], [\"Did I read on 2022/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18729\", \"logical_representation\": [\"2022/05/17\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/17?\", \"51 minutes\"], [\"what did I watch on tv on 2022/05/17?\", \"a documentary\"], [\"Did I watch tv on 2022/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/18\": {\"exercise\": {\"eid\": \"e18730\", \"logical_representation\": [\"2022/05/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/05/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18731\", \"logical_representation\": [\"2022/05/18\", \"lunch\", \"pasta\", \"Nevaeh, Claire, Layla, Kinsley, Eva, Rylee, Piper\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/05/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18732\", \"logical_representation\": [\"2022/05/18\", \"Nevaeh, Olivia\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Nevaeh, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia during lunch hours on 2022/05/18?\", \"25 minutes\"], [\"who did I talk to on 2022/05/18?\", \"Nevaeh, Olivia\"], [\"Did I talk to Nevaeh, Olivia on 2022/05/18?\", \"yes\"], [\"Did I talk to anyone on 2022/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18733\", \"logical_representation\": [\"2022/05/18\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/05/18?\", \"17 minutes\"], [\"what did I read on 2022/05/18?\", \"social media\"], [\"Did I read on 2022/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18734\", \"logical_representation\": [\"2022/05/18\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/18?\", \"33 minutes\"], [\"what did I watch on tv on 2022/05/18?\", \"a tv series\"], [\"Did I watch tv on 2022/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/21\": {\"dinner\": {\"eid\": \"e18745\", \"logical_representation\": [\"2022/05/21\", \"dinner\", \"steak\", \"Avery, Nora, Rylee, Olivia, Hazel, Kinsley, Claire, Lydia\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18746\", \"logical_representation\": [\"2022/05/21\", \"Nora\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Nora for 26 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2022/05/21?\", \"26 minutes\"], [\"who did I talk to on 2022/05/21?\", \"Nora\"], [\"Did I talk to Nora on 2022/05/21?\", \"yes\"], [\"Did I talk to anyone on 2022/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18747\", \"logical_representation\": [\"2022/05/21\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/05/21?\", \"17 minutes\"], [\"what did I read on 2022/05/21?\", \"a book\"], [\"Did I read on 2022/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/23\": {\"breakfast\": {\"eid\": \"e18750\", \"logical_representation\": [\"2022/05/23\", \"breakfast\", \"toast and cheese\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Kayden. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/05/23?\", \"Emily, Carter, Kayden\"], [\"what did I eat for breakfast on 2022/05/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18751\", \"logical_representation\": [\"2022/05/23\", \"dinner\", \"sushi\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18752\", \"logical_representation\": [\"2022/05/23\", \"Kinsley, Lydia\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Kinsley, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia late in the evening on 2022/05/23?\", \"42 minutes\"], [\"who did I talk to on 2022/05/23?\", \"Kinsley, Lydia\"], [\"Did I talk to Kinsley, Lydia on 2022/05/23?\", \"yes\"], [\"Did I talk to anyone on 2022/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18753\", \"logical_representation\": [\"2022/05/23\", \"Hazel, Nora\", \"late in the evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Hazel, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora late in the evening on 2022/05/23?\", \"44 minutes\"], [\"who did I talk to on 2022/05/23?\", \"Hazel, Nora\"], [\"Did I talk to Hazel, Nora on 2022/05/23?\", \"yes\"], [\"Did I talk to anyone on 2022/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18754\", \"logical_representation\": [\"2022/05/23\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/05/23?\", \"39 minutes\"], [\"what did I read on 2022/05/23?\", \"social media\"], [\"Did I read on 2022/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/24\": {\"exercise\": {\"eid\": \"e18755\", \"logical_representation\": [\"2022/05/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/05/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18756\", \"logical_representation\": [\"2022/05/24\", \"lunch\", \"a burger\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/05/24\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18757\", \"logical_representation\": [\"2022/05/24\", \"Eva, Piper\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Eva, Piper for 24 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper in the late afternoon on 2022/05/24?\", \"24 minutes\"], [\"who did I talk to on 2022/05/24?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2022/05/24?\", \"yes\"], [\"Did I talk to anyone on 2022/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18758\", \"logical_representation\": [\"2022/05/24\", \"Claire, Hazel, Rylee, Lydia\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Claire, Hazel, Rylee, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Rylee, Lydia in the morning on 2022/05/24?\", \"52 minutes\"], [\"who did I talk to on 2022/05/24?\", \"Claire, Hazel, Rylee, Lydia\"], [\"Did I talk to Claire, Hazel, Rylee, Lydia on 2022/05/24?\", \"yes\"], [\"Did I talk to anyone on 2022/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/25\": {\"exercise\": {\"eid\": \"e18759\", \"logical_representation\": [\"2022/05/25\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/05/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/25?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18760\", \"logical_representation\": [\"2022/05/25\", \"lunch\", \"indian food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had indian food for lunch with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/05/25?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2022/05/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18761\", \"logical_representation\": [\"2022/05/25\", \"dinner\", \"pasta\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I had dinner with Avery, Willow, Benjamin. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/05/25?\", \"Avery, Willow, Benjamin\"], [\"what did I eat for dinner on 2022/05/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18762\", \"logical_representation\": [\"2022/05/25\", \"Lydia, Nora, Claire, Olivia\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Lydia, Nora, Claire, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Claire, Olivia in the morning on 2022/05/25?\", \"13 minutes\"], [\"who did I talk to on 2022/05/25?\", \"Lydia, Nora, Claire, Olivia\"], [\"Did I talk to Lydia, Nora, Claire, Olivia on 2022/05/25?\", \"yes\"], [\"Did I talk to anyone on 2022/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18763\", \"logical_representation\": [\"2022/05/25\", \"Eva\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early evening on 2022/05/25?\", \"37 minutes\"], [\"who did I talk to on 2022/05/25?\", \"Eva\"], [\"Did I talk to Eva on 2022/05/25?\", \"yes\"], [\"Did I talk to anyone on 2022/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18764\", \"logical_representation\": [\"2022/05/25\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/05/25?\", \"8 minutes\"], [\"what did I read on 2022/05/25?\", \"a book\"], [\"Did I read on 2022/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/26\": {\"exercise\": {\"eid\": \"e18765\", \"logical_representation\": [\"2022/05/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/05/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18766\", \"logical_representation\": [\"2022/05/26\", \"lunch\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/05/26?\", \"Emily\"], [\"what did I eat for lunch on 2022/05/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18767\", \"logical_representation\": [\"2022/05/26\", \"Rylee, Nevaeh, Kinsley\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Rylee, Nevaeh, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Kinsley in the early evening on 2022/05/26?\", \"52 minutes\"], [\"who did I talk to on 2022/05/26?\", \"Rylee, Nevaeh, Kinsley\"], [\"Did I talk to Rylee, Nevaeh, Kinsley on 2022/05/26?\", \"yes\"], [\"Did I talk to anyone on 2022/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18768\", \"logical_representation\": [\"2022/05/26\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/05/26?\", \"53 minutes\"], [\"what did I read on 2022/05/26?\", \"news\"], [\"Did I read on 2022/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18769\", \"logical_representation\": [\"2022/05/26\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I watched a tv series for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/26?\", \"43 minutes\"], [\"what did I watch on tv on 2022/05/26?\", \"a tv series\"], [\"Did I watch tv on 2022/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/27\": {\"exercise\": {\"eid\": \"e18770\", \"logical_representation\": [\"2022/05/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/05/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18771\", \"logical_representation\": [\"2022/05/27\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had pancakes for breakfast with Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/05/27?\", \"Emily, Andrew, Carter\"], [\"what did I eat for breakfast on 2022/05/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18772\", \"logical_representation\": [\"2022/05/27\", \"Nora, Piper\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Nora, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the early evening on 2022/05/27?\", \"25 minutes\"], [\"who did I talk to on 2022/05/27?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2022/05/27?\", \"yes\"], [\"Did I talk to anyone on 2022/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18773\", \"logical_representation\": [\"2022/05/27\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/05/27?\", \"8 minutes\"], [\"what did I read on 2022/05/27?\", \"social media\"], [\"Did I read on 2022/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/30\": {\"lunch\": {\"eid\": \"e18782\", \"logical_representation\": [\"2022/05/30\", \"lunch\", \"sandwich\", \"Avery, Piper, Nevaeh, Nora, Claire, Layla, Lydia, Hazel\"], \"text_template_based\": \"I had lunch with Avery, Piper, Nevaeh, Nora, Claire, Layla, Lydia, Hazel. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/05/30?\", \"Avery, Piper, Nevaeh, Nora, Claire, Layla, Lydia, Hazel\"], [\"what did I eat for lunch on 2022/05/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18783\", \"logical_representation\": [\"2022/05/30\", \"Layla, Claire\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Layla, Claire for 48 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire in the early evening on 2022/05/30?\", \"48 minutes\"], [\"who did I talk to on 2022/05/30?\", \"Layla, Claire\"], [\"Did I talk to Layla, Claire on 2022/05/30?\", \"yes\"], [\"Did I talk to anyone on 2022/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18784\", \"logical_representation\": [\"2022/05/30\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/05/30?\", \"34 minutes\"], [\"what did I read on 2022/05/30?\", \"social media\"], [\"Did I read on 2022/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18785\", \"logical_representation\": [\"2022/05/30\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/30?\", \"53 minutes\"], [\"what did I watch on tv on 2022/05/30?\", \"a movie\"], [\"Did I watch tv on 2022/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/31\": {\"dinner\": {\"eid\": \"e18786\", \"logical_representation\": [\"2022/05/31\", \"dinner\", \"a burger\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/31\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18787\", \"logical_representation\": [\"2022/05/31\", \"Nora, Avery\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Nora, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery in the early afternoon on 2022/05/31?\", \"36 minutes\"], [\"who did I talk to on 2022/05/31?\", \"Nora, Avery\"], [\"Did I talk to Nora, Avery on 2022/05/31?\", \"yes\"], [\"Did I talk to anyone on 2022/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18788\", \"logical_representation\": [\"2022/05/31\", \"Nevaeh, Kinsley, Claire\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Kinsley, Claire for 40 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Claire late in the evening on 2022/05/31?\", \"40 minutes\"], [\"who did I talk to on 2022/05/31?\", \"Nevaeh, Kinsley, Claire\"], [\"Did I talk to Nevaeh, Kinsley, Claire on 2022/05/31?\", \"yes\"], [\"Did I talk to anyone on 2022/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/04\": {\"exercise\": {\"eid\": \"e18801\", \"logical_representation\": [\"2022/06/04\", \"biking\"], \"text_template_based\": \"I did biking on 2022/06/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18802\", \"logical_representation\": [\"2022/06/04\", \"breakfast\", \"pancakes\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/06/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18803\", \"logical_representation\": [\"2022/06/04\", \"Rylee, Avery, Hazel, Piper\", \"during lunch hours\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Rylee, Avery, Hazel, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery, Hazel, Piper during lunch hours on 2022/06/04?\", \"50 minutes\"], [\"who did I talk to on 2022/06/04?\", \"Rylee, Avery, Hazel, Piper\"], [\"Did I talk to Rylee, Avery, Hazel, Piper on 2022/06/04?\", \"yes\"], [\"Did I talk to anyone on 2022/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/05\": {\"chat0\": {\"eid\": \"e18804\", \"logical_representation\": [\"2022/06/05\", \"Claire, Avery, Nora, Nevaeh\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Claire, Avery, Nora, Nevaeh for 51 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Nora, Nevaeh in the late afternoon on 2022/06/05?\", \"51 minutes\"], [\"who did I talk to on 2022/06/05?\", \"Claire, Avery, Nora, Nevaeh\"], [\"Did I talk to Claire, Avery, Nora, Nevaeh on 2022/06/05?\", \"yes\"], [\"Did I talk to anyone on 2022/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18805\", \"logical_representation\": [\"2022/06/05\", \"Rylee\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Rylee for 20 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2022/06/05?\", \"20 minutes\"], [\"who did I talk to on 2022/06/05?\", \"Rylee\"], [\"Did I talk to Rylee on 2022/06/05?\", \"yes\"], [\"Did I talk to anyone on 2022/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18806\", \"logical_representation\": [\"2022/06/05\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/05?\", \"34 minutes\"], [\"what did I watch on tv on 2022/06/05?\", \"a tv series\"], [\"Did I watch tv on 2022/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/07\": {\"exercise\": {\"eid\": \"e18809\", \"logical_representation\": [\"2022/06/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/06/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18810\", \"logical_representation\": [\"2022/06/07\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/06/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18811\", \"logical_representation\": [\"2022/06/07\", \"Eva, Claire, Rylee\", \"in the early afternoon\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Eva, Claire, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire, Rylee in the early afternoon on 2022/06/07?\", \"30 minutes\"], [\"who did I talk to on 2022/06/07?\", \"Eva, Claire, Rylee\"], [\"Did I talk to Eva, Claire, Rylee on 2022/06/07?\", \"yes\"], [\"Did I talk to anyone on 2022/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18812\", \"logical_representation\": [\"2022/06/07\", \"a movie\", \"16 minutes\"], \"text_template_based\": \"I watched a movie for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/07?\", \"16 minutes\"], [\"what did I watch on tv on 2022/06/07?\", \"a movie\"], [\"Did I watch tv on 2022/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/08\": {\"breakfast\": {\"eid\": \"e18813\", \"logical_representation\": [\"2022/06/08\", \"breakfast\", \"toast and cheese\", \"Carter, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/06/08?\", \"Carter, Emily\"], [\"what did I eat for breakfast on 2022/06/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18814\", \"logical_representation\": [\"2022/06/08\", \"lunch\", \"steak\", \"Eva, Claire, Nora, Layla, Nevaeh, Olivia, Avery, Hazel\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/06/08\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2022/06/10\": {\"lunch\": {\"eid\": \"e18819\", \"logical_representation\": [\"2022/06/10\", \"lunch\", \"sandwich\", \"Claire, Rylee, Kinsley, Avery, Olivia, Nevaeh, Hazel, Nora, Lydia, Layla, Eva, Piper\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/06/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18820\", \"logical_representation\": [\"2022/06/10\", \"dinner\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/06/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18821\", \"logical_representation\": [\"2022/06/10\", \"Nevaeh\", \"in the early afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 50 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early afternoon on 2022/06/10?\", \"50 minutes\"], [\"who did I talk to on 2022/06/10?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2022/06/10?\", \"yes\"], [\"Did I talk to anyone on 2022/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/11\": {\"breakfast\": {\"eid\": \"e18822\", \"logical_representation\": [\"2022/06/11\", \"breakfast\", \"oatmeal\", \"Benjamin\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/06/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18823\", \"logical_representation\": [\"2022/06/11\", \"lunch\", \"pasta\", \"Carter\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/06/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18824\", \"logical_representation\": [\"2022/06/11\", \"Lydia, Piper\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Lydia, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper in the late afternoon on 2022/06/11?\", \"52 minutes\"], [\"who did I talk to on 2022/06/11?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2022/06/11?\", \"yes\"], [\"Did I talk to anyone on 2022/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18825\", \"logical_representation\": [\"2022/06/11\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/06/11?\", \"39 minutes\"], [\"what did I read on 2022/06/11?\", \"social media\"], [\"Did I read on 2022/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18826\", \"logical_representation\": [\"2022/06/11\", \"a documentary\", \"38 minutes\"], \"text_template_based\": \"I watched a documentary for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/11?\", \"38 minutes\"], [\"what did I watch on tv on 2022/06/11?\", \"a documentary\"], [\"Did I watch tv on 2022/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/13\": {\"exercise\": {\"eid\": \"e18829\", \"logical_representation\": [\"2022/06/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/06/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18830\", \"logical_representation\": [\"2022/06/13\", \"breakfast\", \"cereals\", \"Lydia, Hazel, Olivia, Claire, Piper, Eva, Nevaeh, Nora, Layla, Rylee, Avery, Kinsley\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/06/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18831\", \"logical_representation\": [\"2022/06/13\", \"lunch\", \"a burger\", \"Olivia, Nevaeh, Avery, Claire, Piper, Layla, Rylee, Eva\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/06/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18832\", \"logical_representation\": [\"2022/06/13\", \"Lydia, Nevaeh, Nora\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Lydia, Nevaeh, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Nora in the early evening on 2022/06/13?\", \"35 minutes\"], [\"who did I talk to on 2022/06/13?\", \"Lydia, Nevaeh, Nora\"], [\"Did I talk to Lydia, Nevaeh, Nora on 2022/06/13?\", \"yes\"], [\"Did I talk to anyone on 2022/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18833\", \"logical_representation\": [\"2022/06/13\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/06/13?\", \"33 minutes\"], [\"what did I read on 2022/06/13?\", \"news\"], [\"Did I read on 2022/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18834\", \"logical_representation\": [\"2022/06/13\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/13?\", \"55 minutes\"], [\"what did I watch on tv on 2022/06/13?\", \"a tv series\"], [\"Did I watch tv on 2022/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/14\": {\"lunch\": {\"eid\": \"e18835\", \"logical_representation\": [\"2022/06/14\", \"lunch\", \"chinese food\", \"Jackson, Willow\"], \"text_template_based\": \"I had chinese food for lunch with Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/06/14?\", \"Jackson, Willow\"], [\"what did I eat for lunch on 2022/06/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18836\", \"logical_representation\": [\"2022/06/14\", \"dinner\", \"pasta\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had dinner with Avery, Jackson, Benjamin. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/06/14?\", \"Avery, Jackson, Benjamin\"], [\"what did I eat for dinner on 2022/06/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18837\", \"logical_representation\": [\"2022/06/14\", \"Layla\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the late afternoon on 2022/06/14?\", \"26 minutes\"], [\"who did I talk to on 2022/06/14?\", \"Layla\"], [\"Did I talk to Layla on 2022/06/14?\", \"yes\"], [\"Did I talk to anyone on 2022/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/15\": {\"exercise\": {\"eid\": \"e18838\", \"logical_representation\": [\"2022/06/15\", \"biking\"], \"text_template_based\": \"I did biking on 2022/06/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18839\", \"logical_representation\": [\"2022/06/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/06/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18840\", \"logical_representation\": [\"2022/06/15\", \"lunch\", \"a burger\", \"Claire, Piper, Layla, Lydia, Olivia, Eva, Kinsley\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/06/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18841\", \"logical_representation\": [\"2022/06/15\", \"Claire, Nevaeh, Layla\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I talked to Claire, Nevaeh, Layla for 28 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Layla in the early evening on 2022/06/15?\", \"28 minutes\"], [\"who did I talk to on 2022/06/15?\", \"Claire, Nevaeh, Layla\"], [\"Did I talk to Claire, Nevaeh, Layla on 2022/06/15?\", \"yes\"], [\"Did I talk to anyone on 2022/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/16\": {\"exercise\": {\"eid\": \"e18842\", \"logical_representation\": [\"2022/06/16\", \"running\"], \"text_template_based\": \"I did running on 2022/06/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18843\", \"logical_representation\": [\"2022/06/16\", \"dinner\", \"chinese food\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/06/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18844\", \"logical_representation\": [\"2022/06/16\", \"Nevaeh\", \"in the early evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 55 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2022/06/16?\", \"55 minutes\"], [\"who did I talk to on 2022/06/16?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2022/06/16?\", \"yes\"], [\"Did I talk to anyone on 2022/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18845\", \"logical_representation\": [\"2022/06/16\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/06/16?\", \"31 minutes\"], [\"what did I read on 2022/06/16?\", \"news\"], [\"Did I read on 2022/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18846\", \"logical_representation\": [\"2022/06/16\", \"a tv series\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/16?\", \"25 minutes\"], [\"what did I watch on tv on 2022/06/16?\", \"a tv series\"], [\"Did I watch tv on 2022/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/18\": {\"exercise\": {\"eid\": \"e18853\", \"logical_representation\": [\"2022/06/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/06/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18854\", \"logical_representation\": [\"2022/06/18\", \"lunch\", \"sandwich\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/06/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2022/06/20\": {\"lunch\": {\"eid\": \"e18857\", \"logical_representation\": [\"2022/06/20\", \"lunch\", \"a burger\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/06/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18858\", \"logical_representation\": [\"2022/06/20\", \"dinner\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I had sandwich for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/06/20?\", \"Andrew\"], [\"what did I eat for dinner on 2022/06/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2022/06/22\": {\"exercise\": {\"eid\": \"e18864\", \"logical_representation\": [\"2022/06/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/06/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2022/06/23\": {\"breakfast\": {\"eid\": \"e18865\", \"logical_representation\": [\"2022/06/23\", \"breakfast\", \"toast and cheese\", \"Jackson, Willow\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/06/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18866\", \"logical_representation\": [\"2022/06/23\", \"Lydia\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Lydia for 38 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2022/06/23?\", \"38 minutes\"], [\"who did I talk to on 2022/06/23?\", \"Lydia\"], [\"Did I talk to Lydia on 2022/06/23?\", \"yes\"], [\"Did I talk to anyone on 2022/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/28\": {\"chat0\": {\"eid\": \"e18884\", \"logical_representation\": [\"2022/06/28\", \"Olivia, Rylee\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Olivia, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee during lunch hours on 2022/06/28?\", \"20 minutes\"], [\"who did I talk to on 2022/06/28?\", \"Olivia, Rylee\"], [\"Did I talk to Olivia, Rylee on 2022/06/28?\", \"yes\"], [\"Did I talk to anyone on 2022/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18885\", \"logical_representation\": [\"2022/06/28\", \"Eva\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I talked to Eva for 33 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2022/06/28?\", \"33 minutes\"], [\"who did I talk to on 2022/06/28?\", \"Eva\"], [\"Did I talk to Eva on 2022/06/28?\", \"yes\"], [\"Did I talk to anyone on 2022/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18886\", \"logical_representation\": [\"2022/06/28\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I watched a documentary for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/28?\", \"26 minutes\"], [\"what did I watch on tv on 2022/06/28?\", \"a documentary\"], [\"Did I watch tv on 2022/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/30\": {\"exercise\": {\"eid\": \"e18891\", \"logical_representation\": [\"2022/06/30\", \"running\"], \"text_template_based\": \"I did running on 2022/06/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18892\", \"logical_representation\": [\"2022/06/30\", \"lunch\", \"steak\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/06/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18893\", \"logical_representation\": [\"2022/06/30\", \"dinner\", \"steak\", \"Andrew\"], \"text_template_based\": \"I had steak for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/06/30?\", \"Andrew\"], [\"what did I eat for dinner on 2022/06/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18894\", \"logical_representation\": [\"2022/06/30\", \"Avery, Lydia, Eva, Kinsley\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia, Eva, Kinsley for 25 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Eva, Kinsley late in the evening on 2022/06/30?\", \"25 minutes\"], [\"who did I talk to on 2022/06/30?\", \"Avery, Lydia, Eva, Kinsley\"], [\"Did I talk to Avery, Lydia, Eva, Kinsley on 2022/06/30?\", \"yes\"], [\"Did I talk to anyone on 2022/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18895\", \"logical_representation\": [\"2022/06/30\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I watched a movie for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/30?\", \"10 minutes\"], [\"what did I watch on tv on 2022/06/30?\", \"a movie\"], [\"Did I watch tv on 2022/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/01\": {\"dinner\": {\"eid\": \"e18896\", \"logical_representation\": [\"2022/07/01\", \"dinner\", \"sandwich\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had sandwich for dinner with Carter, Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/07/01?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for dinner on 2022/07/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18897\", \"logical_representation\": [\"2022/07/01\", \"Olivia, Layla, Kinsley, Nora\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Olivia, Layla, Kinsley, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Kinsley, Nora in the morning on 2022/07/01?\", \"9 minutes\"], [\"who did I talk to on 2022/07/01?\", \"Olivia, Layla, Kinsley, Nora\"], [\"Did I talk to Olivia, Layla, Kinsley, Nora on 2022/07/01?\", \"yes\"], [\"Did I talk to anyone on 2022/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/02\": {\"lunch\": {\"eid\": \"e18898\", \"logical_representation\": [\"2022/07/02\", \"lunch\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had a burger for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/07/02?\", \"Andrew\"], [\"what did I eat for lunch on 2022/07/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18899\", \"logical_representation\": [\"2022/07/02\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/07/02?\", \"19 minutes\"], [\"what did I read on 2022/07/02?\", \"social media\"], [\"Did I read on 2022/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/03\": {\"exercise\": {\"eid\": \"e18900\", \"logical_representation\": [\"2022/07/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/07/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18901\", \"logical_representation\": [\"2022/07/03\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/07/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18902\", \"logical_representation\": [\"2022/07/03\", \"lunch\", \"sandwich\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/07/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18903\", \"logical_representation\": [\"2022/07/03\", \"dinner\", \"tacos\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/07/03?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2022/07/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18904\", \"logical_representation\": [\"2022/07/03\", \"Nora, Kinsley, Nevaeh, Olivia\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Nora, Kinsley, Nevaeh, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Nevaeh, Olivia late in the evening on 2022/07/03?\", \"52 minutes\"], [\"who did I talk to on 2022/07/03?\", \"Nora, Kinsley, Nevaeh, Olivia\"], [\"Did I talk to Nora, Kinsley, Nevaeh, Olivia on 2022/07/03?\", \"yes\"], [\"Did I talk to anyone on 2022/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18905\", \"logical_representation\": [\"2022/07/03\", \"Hazel, Olivia, Nora\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Hazel, Olivia, Nora for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia, Nora in the morning on 2022/07/03?\", \"32 minutes\"], [\"who did I talk to on 2022/07/03?\", \"Hazel, Olivia, Nora\"], [\"Did I talk to Hazel, Olivia, Nora on 2022/07/03?\", \"yes\"], [\"Did I talk to anyone on 2022/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18906\", \"logical_representation\": [\"2022/07/03\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/07/03?\", \"48 minutes\"], [\"what did I read on 2022/07/03?\", \"social media\"], [\"Did I read on 2022/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18907\", \"logical_representation\": [\"2022/07/03\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/03?\", \"11 minutes\"], [\"what did I watch on tv on 2022/07/03?\", \"a movie\"], [\"Did I watch tv on 2022/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/04\": {\"breakfast\": {\"eid\": \"e18908\", \"logical_representation\": [\"2022/07/04\", \"breakfast\", \"cereals\", \"Olivia, Claire, Lydia, Rylee, Piper, Hazel, Avery, Layla, Eva\"], \"text_template_based\": \"I had cereals for breakfast with Olivia, Claire, Lydia, Rylee, Piper, Hazel, Avery, Layla, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/07/04?\", \"Olivia, Claire, Lydia, Rylee, Piper, Hazel, Avery, Layla, Eva\"], [\"what did I eat for breakfast on 2022/07/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18909\", \"logical_representation\": [\"2022/07/04\", \"lunch\", \"indian food\", \"Piper, Lydia, Piper, Rylee, Hazel, Kinsley, Eva, Nora, Avery, Nevaeh\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/07/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18910\", \"logical_representation\": [\"2022/07/04\", \"dinner\", \"pasta\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/07/04\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2022/07/06\": {\"lunch\": {\"eid\": \"e18914\", \"logical_representation\": [\"2022/07/06\", \"lunch\", \"fish and chips\", \"Kinsley, Claire, Hazel, Nevaeh, Rylee, Olivia, Piper, Avery, Nora\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/07/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18915\", \"logical_representation\": [\"2022/07/06\", \"dinner\", \"a burger\", \"Avery, Willow\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/07/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18916\", \"logical_representation\": [\"2022/07/06\", \"news\", \"8 minutes\"], \"text_template_based\": \"I watched news for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/06?\", \"8 minutes\"], [\"what did I watch on tv on 2022/07/06?\", \"news\"], [\"Did I watch tv on 2022/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/07\": {\"exercise\": {\"eid\": \"e18917\", \"logical_representation\": [\"2022/07/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/07/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18918\", \"logical_representation\": [\"2022/07/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/07/07?\", \"Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2022/07/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18919\", \"logical_representation\": [\"2022/07/07\", \"lunch\", \"chinese food\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Kayden, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/07/07?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2022/07/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18920\", \"logical_representation\": [\"2022/07/07\", \"dinner\", \"sandwich\", \"Nora, Piper, Claire, Kinsley, Lydia, Avery, Eva\"], \"text_template_based\": \"I had dinner with Nora, Piper, Claire, Kinsley, Lydia, Avery, Eva. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/07/07?\", \"Nora, Piper, Claire, Kinsley, Lydia, Avery, Eva\"], [\"what did I eat for dinner on 2022/07/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18921\", \"logical_representation\": [\"2022/07/07\", \"Layla\", \"late in the evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Layla for 16 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2022/07/07?\", \"16 minutes\"], [\"who did I talk to on 2022/07/07?\", \"Layla\"], [\"Did I talk to Layla on 2022/07/07?\", \"yes\"], [\"Did I talk to anyone on 2022/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18922\", \"logical_representation\": [\"2022/07/07\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/07/07?\", \"22 minutes\"], [\"what did I read on 2022/07/07?\", \"a book\"], [\"Did I read on 2022/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18923\", \"logical_representation\": [\"2022/07/07\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I watched a movie for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/07?\", \"12 minutes\"], [\"what did I watch on tv on 2022/07/07?\", \"a movie\"], [\"Did I watch tv on 2022/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/08\": {\"breakfast\": {\"eid\": \"e18924\", \"logical_representation\": [\"2022/07/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/07/08?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2022/07/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18925\", \"logical_representation\": [\"2022/07/08\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/07/08\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2022/07/09\": {\"exercise\": {\"eid\": \"e18926\", \"logical_representation\": [\"2022/07/09\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/07/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/09?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18927\", \"logical_representation\": [\"2022/07/09\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/09?\", \"49 minutes\"], [\"what did I watch on tv on 2022/07/09?\", \"news\"], [\"Did I watch tv on 2022/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/11\": {\"chat0\": {\"eid\": \"e18932\", \"logical_representation\": [\"2022/07/11\", \"Piper, Rylee, Kinsley\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Piper, Rylee, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Kinsley during lunch hours on 2022/07/11?\", \"14 minutes\"], [\"who did I talk to on 2022/07/11?\", \"Piper, Rylee, Kinsley\"], [\"Did I talk to Piper, Rylee, Kinsley on 2022/07/11?\", \"yes\"], [\"Did I talk to anyone on 2022/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18933\", \"logical_representation\": [\"2022/07/11\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/11?\", \"5 minutes\"], [\"what did I watch on tv on 2022/07/11?\", \"a movie\"], [\"Did I watch tv on 2022/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/13\": {\"exercise\": {\"eid\": \"e18940\", \"logical_representation\": [\"2022/07/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/07/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18941\", \"logical_representation\": [\"2022/07/13\", \"breakfast\", \"pancakes\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/07/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18942\", \"logical_representation\": [\"2022/07/13\", \"lunch\", \"indian food\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/07/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18943\", \"logical_representation\": [\"2022/07/13\", \"Layla, Nevaeh\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Layla, Nevaeh for 41 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh late in the evening on 2022/07/13?\", \"41 minutes\"], [\"who did I talk to on 2022/07/13?\", \"Layla, Nevaeh\"], [\"Did I talk to Layla, Nevaeh on 2022/07/13?\", \"yes\"], [\"Did I talk to anyone on 2022/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/14\": {\"exercise\": {\"eid\": \"e18944\", \"logical_representation\": [\"2022/07/14\", \"biking\"], \"text_template_based\": \"I did biking on 2022/07/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18945\", \"logical_representation\": [\"2022/07/14\", \"lunch\", \"pasta\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/07/14\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2022/07/15\": {\"exercise\": {\"eid\": \"e18946\", \"logical_representation\": [\"2022/07/15\", \"biking\"], \"text_template_based\": \"I did biking on 2022/07/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18947\", \"logical_representation\": [\"2022/07/15\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Jackson\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/07/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18948\", \"logical_representation\": [\"2022/07/15\", \"lunch\", \"sushi\", \"Avery\"], \"text_template_based\": \"I had sushi for lunch with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/07/15?\", \"Avery\"], [\"what did I eat for lunch on 2022/07/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e18949\", \"logical_representation\": [\"2022/07/15\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/07/15?\", \"28 minutes\"], [\"what did I read on 2022/07/15?\", \"social media\"], [\"Did I read on 2022/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18950\", \"logical_representation\": [\"2022/07/15\", \"news\", \"9 minutes\"], \"text_template_based\": \"I watched news for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/15?\", \"9 minutes\"], [\"what did I watch on tv on 2022/07/15?\", \"news\"], [\"Did I watch tv on 2022/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/16\": {\"breakfast\": {\"eid\": \"e18951\", \"logical_representation\": [\"2022/07/16\", \"breakfast\", \"cereals\", \"Willow\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/07/16\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18952\", \"logical_representation\": [\"2022/07/16\", \"dinner\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/07/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18953\", \"logical_representation\": [\"2022/07/16\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/07/16?\", \"45 minutes\"], [\"what did I read on 2022/07/16?\", \"news\"], [\"Did I read on 2022/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/18\": {\"exercise\": {\"eid\": \"e18956\", \"logical_representation\": [\"2022/07/18\", \"running\"], \"text_template_based\": \"I did running on 2022/07/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/18?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18957\", \"logical_representation\": [\"2022/07/18\", \"lunch\", \"indian food\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/07/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18958\", \"logical_representation\": [\"2022/07/18\", \"dinner\", \"sandwich\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/07/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18959\", \"logical_representation\": [\"2022/07/18\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/07/18?\", \"23 minutes\"], [\"what did I read on 2022/07/18?\", \"a book\"], [\"Did I read on 2022/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18960\", \"logical_representation\": [\"2022/07/18\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I watched a tv series for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/18?\", \"22 minutes\"], [\"what did I watch on tv on 2022/07/18?\", \"a tv series\"], [\"Did I watch tv on 2022/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/19\": {\"breakfast\": {\"eid\": \"e18961\", \"logical_representation\": [\"2022/07/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/07/19?\", \"Emily\"], [\"what did I eat for breakfast on 2022/07/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18962\", \"logical_representation\": [\"2022/07/19\", \"lunch\", \"tacos\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/07/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18963\", \"logical_representation\": [\"2022/07/19\", \"Claire, Hazel\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Claire, Hazel for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel during lunch hours on 2022/07/19?\", \"31 minutes\"], [\"who did I talk to on 2022/07/19?\", \"Claire, Hazel\"], [\"Did I talk to Claire, Hazel on 2022/07/19?\", \"yes\"], [\"Did I talk to anyone on 2022/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/20\": {\"watch tv\": {\"eid\": \"e18964\", \"logical_representation\": [\"2022/07/20\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/20?\", \"47 minutes\"], [\"what did I watch on tv on 2022/07/20?\", \"news\"], [\"Did I watch tv on 2022/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/21\": {\"exercise\": {\"eid\": \"e18965\", \"logical_representation\": [\"2022/07/21\", \"biking\"], \"text_template_based\": \"I did biking on 2022/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18966\", \"logical_representation\": [\"2022/07/21\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/07/21?\", \"Emily\"], [\"what did I eat for breakfast on 2022/07/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18967\", \"logical_representation\": [\"2022/07/21\", \"lunch\", \"sandwich\", \"Nevaeh, Kinsley, Eva, Lydia, Layla, Claire, Hazel, Piper\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/07/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18968\", \"logical_representation\": [\"2022/07/21\", \"dinner\", \"indian food\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/07/21\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2022/07/22\": {\"breakfast\": {\"eid\": \"e18969\", \"logical_representation\": [\"2022/07/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had breakfast with Carter, Emily, Andrew. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/07/22?\", \"Carter, Emily, Andrew\"], [\"what did I eat for breakfast on 2022/07/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18970\", \"logical_representation\": [\"2022/07/22\", \"lunch\", \"tacos\", \"Emily, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/07/22?\", \"Emily, Andrew\"], [\"what did I eat for lunch on 2022/07/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18971\", \"logical_representation\": [\"2022/07/22\", \"Layla, Piper, Eva\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Layla, Piper, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Eva during lunch hours on 2022/07/22?\", \"49 minutes\"], [\"who did I talk to on 2022/07/22?\", \"Layla, Piper, Eva\"], [\"Did I talk to Layla, Piper, Eva on 2022/07/22?\", \"yes\"], [\"Did I talk to anyone on 2022/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18972\", \"logical_representation\": [\"2022/07/22\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/22?\", \"41 minutes\"], [\"what did I watch on tv on 2022/07/22?\", \"a movie\"], [\"Did I watch tv on 2022/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/24\": {\"exercise\": {\"eid\": \"e18975\", \"logical_representation\": [\"2022/07/24\", \"running\"], \"text_template_based\": \"I did running on 2022/07/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/24?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18976\", \"logical_representation\": [\"2022/07/24\", \"lunch\", \"fish and chips\", \"Kinsley, Layla, Claire, Nevaeh, Hazel, Nora, Piper\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/07/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2022/07/25\": {\"breakfast\": {\"eid\": \"e18977\", \"logical_representation\": [\"2022/07/25\", \"breakfast\", \"toast and cheese\", \"Jackson\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/07/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18978\", \"logical_representation\": [\"2022/07/25\", \"lunch\", \"indian food\", \"Olivia, Kinsley, Lydia, Claire, Nora, Eva, Avery, Nevaeh, Piper, Layla, Rylee, Piper, Hazel\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/07/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e18979\", \"logical_representation\": [\"2022/07/25\", \"dinner\", \"tacos\", \"Olivia, Nora, Rylee, Avery, Claire, Nevaeh, Eva, Piper, Layla, Piper\"], \"text_template_based\": \"I had tacos for dinner with Olivia, Nora, Rylee, Avery, Claire, Nevaeh, Eva, Piper, Layla, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/07/25?\", \"Olivia, Nora, Rylee, Avery, Claire, Nevaeh, Eva, Piper, Layla, Piper\"], [\"what did I eat for dinner on 2022/07/25\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18980\", \"logical_representation\": [\"2022/07/25\", \"Eva, Piper, Nevaeh\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Eva, Piper, Nevaeh for 41 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Nevaeh in the early evening on 2022/07/25?\", \"41 minutes\"], [\"who did I talk to on 2022/07/25?\", \"Eva, Piper, Nevaeh\"], [\"Did I talk to Eva, Piper, Nevaeh on 2022/07/25?\", \"yes\"], [\"Did I talk to anyone on 2022/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18981\", \"logical_representation\": [\"2022/07/25\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/25?\", \"26 minutes\"], [\"what did I watch on tv on 2022/07/25?\", \"a tv series\"], [\"Did I watch tv on 2022/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/28\": {\"exercise\": {\"eid\": \"e18992\", \"logical_representation\": [\"2022/07/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/07/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e18993\", \"logical_representation\": [\"2022/07/28\", \"breakfast\", \"toast and cheese\", \"Piper, Olivia, Piper, Claire, Avery, Nevaeh, Hazel, Kinsley, Lydia, Eva, Layla, Nora\"], \"text_template_based\": \"I had toast and cheese for breakfast with Piper, Olivia, Piper, Claire, Avery, Nevaeh, Hazel, Kinsley, Lydia, Eva, Layla, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/07/28?\", \"Piper, Olivia, Piper, Claire, Avery, Nevaeh, Hazel, Kinsley, Lydia, Eva, Layla, Nora\"], [\"what did I eat for breakfast on 2022/07/28\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e18994\", \"logical_representation\": [\"2022/07/28\", \"lunch\", \"sushi\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/07/28?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2022/07/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e18995\", \"logical_representation\": [\"2022/07/28\", \"Layla\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Layla for 11 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2022/07/28?\", \"11 minutes\"], [\"who did I talk to on 2022/07/28?\", \"Layla\"], [\"Did I talk to Layla on 2022/07/28?\", \"yes\"], [\"Did I talk to anyone on 2022/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e18996\", \"logical_representation\": [\"2022/07/28\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/28?\", \"14 minutes\"], [\"what did I watch on tv on 2022/07/28?\", \"a movie\"], [\"Did I watch tv on 2022/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/29\": {\"lunch\": {\"eid\": \"e18997\", \"logical_representation\": [\"2022/07/29\", \"lunch\", \"fish and chips\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/07/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e18998\", \"logical_representation\": [\"2022/07/29\", \"Rylee, Eva, Layla\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Rylee, Eva, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Layla in the early afternoon on 2022/07/29?\", \"25 minutes\"], [\"who did I talk to on 2022/07/29?\", \"Rylee, Eva, Layla\"], [\"Did I talk to Rylee, Eva, Layla on 2022/07/29?\", \"yes\"], [\"Did I talk to anyone on 2022/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e18999\", \"logical_representation\": [\"2022/07/29\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/07/29?\", \"42 minutes\"], [\"what did I read on 2022/07/29?\", \"news\"], [\"Did I read on 2022/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19000\", \"logical_representation\": [\"2022/07/29\", \"a tv series\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/29?\", \"19 minutes\"], [\"what did I watch on tv on 2022/07/29?\", \"a tv series\"], [\"Did I watch tv on 2022/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/30\": {\"exercise\": {\"eid\": \"e19001\", \"logical_representation\": [\"2022/07/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/07/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19002\", \"logical_representation\": [\"2022/07/30\", \"lunch\", \"indian food\", \"Layla, Kinsley\"], \"text_template_based\": \"I had lunch with Layla, Kinsley. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/07/30?\", \"Layla, Kinsley\"], [\"what did I eat for lunch on 2022/07/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19003\", \"logical_representation\": [\"2022/07/30\", \"dinner\", \"a burger\", \"Carter\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/07/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19004\", \"logical_representation\": [\"2022/07/30\", \"Kinsley, Eva, Claire, Nevaeh\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Kinsley, Eva, Claire, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Claire, Nevaeh late in the evening on 2022/07/30?\", \"25 minutes\"], [\"who did I talk to on 2022/07/30?\", \"Kinsley, Eva, Claire, Nevaeh\"], [\"Did I talk to Kinsley, Eva, Claire, Nevaeh on 2022/07/30?\", \"yes\"], [\"Did I talk to anyone on 2022/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/01\": {\"breakfast\": {\"eid\": \"e19005\", \"logical_representation\": [\"2022/08/01\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19006\", \"logical_representation\": [\"2022/08/01\", \"dinner\", \"steak\", \"Rylee\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/08/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19007\", \"logical_representation\": [\"2022/08/01\", \"Layla\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla during lunch hours on 2022/08/01?\", \"43 minutes\"], [\"who did I talk to on 2022/08/01?\", \"Layla\"], [\"Did I talk to Layla on 2022/08/01?\", \"yes\"], [\"Did I talk to anyone on 2022/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19008\", \"logical_representation\": [\"2022/08/01\", \"Hazel\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2022/08/01?\", \"17 minutes\"], [\"who did I talk to on 2022/08/01?\", \"Hazel\"], [\"Did I talk to Hazel on 2022/08/01?\", \"yes\"], [\"Did I talk to anyone on 2022/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19009\", \"logical_representation\": [\"2022/08/01\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/08/01?\", \"27 minutes\"], [\"what did I read on 2022/08/01?\", \"social media\"], [\"Did I read on 2022/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/02\": {\"exercise\": {\"eid\": \"e19010\", \"logical_representation\": [\"2022/08/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/08/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19011\", \"logical_representation\": [\"2022/08/02\", \"dinner\", \"a burger\", \"Layla, Rylee, Nora, Nevaeh, Hazel, Lydia, Piper, Claire, Olivia, Avery, Eva\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/08/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19012\", \"logical_representation\": [\"2022/08/02\", \"Piper, Kinsley\", \"during lunch hours\", \"5 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley for 5 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley during lunch hours on 2022/08/02?\", \"5 minutes\"], [\"who did I talk to on 2022/08/02?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2022/08/02?\", \"yes\"], [\"Did I talk to anyone on 2022/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19013\", \"logical_representation\": [\"2022/08/02\", \"Olivia, Nora, Kinsley\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Olivia, Nora, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Kinsley during lunch hours on 2022/08/02?\", \"27 minutes\"], [\"who did I talk to on 2022/08/02?\", \"Olivia, Nora, Kinsley\"], [\"Did I talk to Olivia, Nora, Kinsley on 2022/08/02?\", \"yes\"], [\"Did I talk to anyone on 2022/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19014\", \"logical_representation\": [\"2022/08/02\", \"a documentary\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/02?\", \"15 minutes\"], [\"what did I watch on tv on 2022/08/02?\", \"a documentary\"], [\"Did I watch tv on 2022/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/03\": {\"exercise\": {\"eid\": \"e19015\", \"logical_representation\": [\"2022/08/03\", \"biking\"], \"text_template_based\": \"I did biking on 2022/08/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19016\", \"logical_representation\": [\"2022/08/03\", \"lunch\", \"a burger\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/08/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19017\", \"logical_representation\": [\"2022/08/03\", \"dinner\", \"indian food\", \"Layla, Rylee\"], \"text_template_based\": \"I had dinner with Layla, Rylee. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/08/03?\", \"Layla, Rylee\"], [\"what did I eat for dinner on 2022/08/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19018\", \"logical_representation\": [\"2022/08/03\", \"Piper, Lydia\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia for 32 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia in the early evening on 2022/08/03?\", \"32 minutes\"], [\"who did I talk to on 2022/08/03?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2022/08/03?\", \"yes\"], [\"Did I talk to anyone on 2022/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19019\", \"logical_representation\": [\"2022/08/03\", \"Eva\", \"late in the evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2022/08/03?\", \"44 minutes\"], [\"who did I talk to on 2022/08/03?\", \"Eva\"], [\"Did I talk to Eva on 2022/08/03?\", \"yes\"], [\"Did I talk to anyone on 2022/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/04\": {\"breakfast\": {\"eid\": \"e19020\", \"logical_representation\": [\"2022/08/04\", \"breakfast\", \"pancakes\", \"Carter, Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/08/04?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2022/08/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19021\", \"logical_representation\": [\"2022/08/04\", \"lunch\", \"chinese food\", \"Eva, Rylee, Lydia, Nora, Olivia, Kinsley, Claire, Nevaeh, Piper\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/08/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19022\", \"logical_representation\": [\"2022/08/04\", \"Piper, Layla, Lydia\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Piper, Layla, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Lydia during lunch hours on 2022/08/04?\", \"31 minutes\"], [\"who did I talk to on 2022/08/04?\", \"Piper, Layla, Lydia\"], [\"Did I talk to Piper, Layla, Lydia on 2022/08/04?\", \"yes\"], [\"Did I talk to anyone on 2022/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19023\", \"logical_representation\": [\"2022/08/04\", \"Hazel\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the morning on 2022/08/04?\", \"54 minutes\"], [\"who did I talk to on 2022/08/04?\", \"Hazel\"], [\"Did I talk to Hazel on 2022/08/04?\", \"yes\"], [\"Did I talk to anyone on 2022/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19024\", \"logical_representation\": [\"2022/08/04\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/04?\", \"26 minutes\"], [\"what did I watch on tv on 2022/08/04?\", \"a movie\"], [\"Did I watch tv on 2022/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/06\": {\"exercise\": {\"eid\": \"e19030\", \"logical_representation\": [\"2022/08/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/08/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19031\", \"logical_representation\": [\"2022/08/06\", \"breakfast\", \"toast and cheese\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I had breakfast with Willow, Avery, Benjamin. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/08/06?\", \"Willow, Avery, Benjamin\"], [\"what did I eat for breakfast on 2022/08/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19032\", \"logical_representation\": [\"2022/08/06\", \"lunch\", \"tacos\", \"Kinsley, Nora, Rylee, Avery, Olivia\"], \"text_template_based\": \"I had tacos for lunch with Kinsley, Nora, Rylee, Avery, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/08/06?\", \"Kinsley, Nora, Rylee, Avery, Olivia\"], [\"what did I eat for lunch on 2022/08/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19033\", \"logical_representation\": [\"2022/08/06\", \"Piper, Layla\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Piper, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla during lunch hours on 2022/08/06?\", \"51 minutes\"], [\"who did I talk to on 2022/08/06?\", \"Piper, Layla\"], [\"Did I talk to Piper, Layla on 2022/08/06?\", \"yes\"], [\"Did I talk to anyone on 2022/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19034\", \"logical_representation\": [\"2022/08/06\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I watched a tv series for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/06?\", \"21 minutes\"], [\"what did I watch on tv on 2022/08/06?\", \"a tv series\"], [\"Did I watch tv on 2022/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/07\": {\"lunch\": {\"eid\": \"e19035\", \"logical_representation\": [\"2022/08/07\", \"lunch\", \"steak\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/08/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19036\", \"logical_representation\": [\"2022/08/07\", \"Eva\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I talked to Eva for 42 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2022/08/07?\", \"42 minutes\"], [\"who did I talk to on 2022/08/07?\", \"Eva\"], [\"Did I talk to Eva on 2022/08/07?\", \"yes\"], [\"Did I talk to anyone on 2022/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19037\", \"logical_representation\": [\"2022/08/07\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/08/07?\", \"53 minutes\"], [\"what did I read on 2022/08/07?\", \"news\"], [\"Did I read on 2022/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19038\", \"logical_representation\": [\"2022/08/07\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/07?\", \"21 minutes\"], [\"what did I watch on tv on 2022/08/07?\", \"a tv series\"], [\"Did I watch tv on 2022/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/10\": {\"dinner\": {\"eid\": \"e19045\", \"logical_representation\": [\"2022/08/10\", \"dinner\", \"pasta\", \"Willow, Avery\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/08/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19046\", \"logical_representation\": [\"2022/08/10\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/10?\", \"37 minutes\"], [\"what did I watch on tv on 2022/08/10?\", \"a documentary\"], [\"Did I watch tv on 2022/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/12\": {\"exercise\": {\"eid\": \"e19053\", \"logical_representation\": [\"2022/08/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/08/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19054\", \"logical_representation\": [\"2022/08/12\", \"dinner\", \"sushi\", \"Nevaeh, Claire, Layla, Kinsley, Rylee\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/08/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19055\", \"logical_representation\": [\"2022/08/12\", \"Hazel\", \"in the early afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2022/08/12?\", \"50 minutes\"], [\"who did I talk to on 2022/08/12?\", \"Hazel\"], [\"Did I talk to Hazel on 2022/08/12?\", \"yes\"], [\"Did I talk to anyone on 2022/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19056\", \"logical_representation\": [\"2022/08/12\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/08/12?\", \"37 minutes\"], [\"what did I read on 2022/08/12?\", \"a book\"], [\"Did I read on 2022/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/13\": {\"exercise\": {\"eid\": \"e19057\", \"logical_representation\": [\"2022/08/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/08/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19058\", \"logical_representation\": [\"2022/08/13\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Claire, Kinsley\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19059\", \"logical_representation\": [\"2022/08/13\", \"Rylee, Hazel, Lydia, Kinsley\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Rylee, Hazel, Lydia, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel, Lydia, Kinsley in the early evening on 2022/08/13?\", \"7 minutes\"], [\"who did I talk to on 2022/08/13?\", \"Rylee, Hazel, Lydia, Kinsley\"], [\"Did I talk to Rylee, Hazel, Lydia, Kinsley on 2022/08/13?\", \"yes\"], [\"Did I talk to anyone on 2022/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/14\": {\"exercise\": {\"eid\": \"e19060\", \"logical_representation\": [\"2022/08/14\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/08/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/14?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19061\", \"logical_representation\": [\"2022/08/14\", \"lunch\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/08/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19062\", \"logical_representation\": [\"2022/08/14\", \"Piper\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2022/08/14?\", \"21 minutes\"], [\"who did I talk to on 2022/08/14?\", \"Piper\"], [\"Did I talk to Piper on 2022/08/14?\", \"yes\"], [\"Did I talk to anyone on 2022/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19063\", \"logical_representation\": [\"2022/08/14\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/08/14?\", \"26 minutes\"], [\"what did I read on 2022/08/14?\", \"a book\"], [\"Did I read on 2022/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/15\": {\"read\": {\"eid\": \"e19064\", \"logical_representation\": [\"2022/08/15\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/08/15?\", \"37 minutes\"], [\"what did I read on 2022/08/15?\", \"a book\"], [\"Did I read on 2022/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/16\": {\"exercise\": {\"eid\": \"e19065\", \"logical_representation\": [\"2022/08/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/08/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19066\", \"logical_representation\": [\"2022/08/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Rylee\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19067\", \"logical_representation\": [\"2022/08/16\", \"lunch\", \"fish and chips\", \"Layla, Piper, Claire, Piper, Nevaeh, Rylee, Kinsley, Nora\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/08/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19068\", \"logical_representation\": [\"2022/08/16\", \"dinner\", \"fish and chips\", \"Layla\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/08/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19069\", \"logical_representation\": [\"2022/08/16\", \"Hazel\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2022/08/16?\", \"55 minutes\"], [\"who did I talk to on 2022/08/16?\", \"Hazel\"], [\"Did I talk to Hazel on 2022/08/16?\", \"yes\"], [\"Did I talk to anyone on 2022/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19070\", \"logical_representation\": [\"2022/08/16\", \"Kinsley\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Kinsley for 20 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2022/08/16?\", \"20 minutes\"], [\"who did I talk to on 2022/08/16?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2022/08/16?\", \"yes\"], [\"Did I talk to anyone on 2022/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/17\": {\"breakfast\": {\"eid\": \"e19071\", \"logical_representation\": [\"2022/08/17\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19072\", \"logical_representation\": [\"2022/08/17\", \"lunch\", \"steak\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had steak for lunch with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/08/17?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2022/08/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19073\", \"logical_representation\": [\"2022/08/17\", \"Piper\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Piper for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2022/08/17?\", \"31 minutes\"], [\"who did I talk to on 2022/08/17?\", \"Piper\"], [\"Did I talk to Piper on 2022/08/17?\", \"yes\"], [\"Did I talk to anyone on 2022/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19074\", \"logical_representation\": [\"2022/08/17\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/17?\", \"39 minutes\"], [\"what did I watch on tv on 2022/08/17?\", \"a documentary\"], [\"Did I watch tv on 2022/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/19\": {\"exercise\": {\"eid\": \"e19079\", \"logical_representation\": [\"2022/08/19\", \"biking\"], \"text_template_based\": \"I did biking on 2022/08/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19080\", \"logical_representation\": [\"2022/08/19\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19081\", \"logical_representation\": [\"2022/08/19\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/08/19?\", \"9 minutes\"], [\"what did I read on 2022/08/19?\", \"a book\"], [\"Did I read on 2022/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19082\", \"logical_representation\": [\"2022/08/19\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/19?\", \"46 minutes\"], [\"what did I watch on tv on 2022/08/19?\", \"news\"], [\"Did I watch tv on 2022/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/20\": {\"lunch\": {\"eid\": \"e19083\", \"logical_representation\": [\"2022/08/20\", \"lunch\", \"sushi\", \"Nevaeh, Nora\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/08/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19084\", \"logical_representation\": [\"2022/08/20\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/08/20?\", \"45 minutes\"], [\"what did I read on 2022/08/20?\", \"news\"], [\"Did I read on 2022/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/21\": {\"breakfast\": {\"eid\": \"e19085\", \"logical_representation\": [\"2022/08/21\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/08/21?\", \"Carter\"], [\"what did I eat for breakfast on 2022/08/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19086\", \"logical_representation\": [\"2022/08/21\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I watched a tv series for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/21?\", \"7 minutes\"], [\"what did I watch on tv on 2022/08/21?\", \"a tv series\"], [\"Did I watch tv on 2022/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/25\": {\"breakfast\": {\"eid\": \"e19099\", \"logical_representation\": [\"2022/08/25\", \"breakfast\", \"cereals\", \"Andrew, Carter\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/25\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19100\", \"logical_representation\": [\"2022/08/25\", \"Nora, Piper, Nevaeh, Rylee\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Nora, Piper, Nevaeh, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Nevaeh, Rylee during lunch hours on 2022/08/25?\", \"53 minutes\"], [\"who did I talk to on 2022/08/25?\", \"Nora, Piper, Nevaeh, Rylee\"], [\"Did I talk to Nora, Piper, Nevaeh, Rylee on 2022/08/25?\", \"yes\"], [\"Did I talk to anyone on 2022/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19101\", \"logical_representation\": [\"2022/08/25\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/08/25?\", \"7 minutes\"], [\"what did I read on 2022/08/25?\", \"news\"], [\"Did I read on 2022/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/29\": {\"exercise\": {\"eid\": \"e19118\", \"logical_representation\": [\"2022/08/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/08/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19119\", \"logical_representation\": [\"2022/08/29\", \"Olivia, Hazel, Claire\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Olivia, Hazel, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Claire late in the evening on 2022/08/29?\", \"6 minutes\"], [\"who did I talk to on 2022/08/29?\", \"Olivia, Hazel, Claire\"], [\"Did I talk to Olivia, Hazel, Claire on 2022/08/29?\", \"yes\"], [\"Did I talk to anyone on 2022/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19120\", \"logical_representation\": [\"2022/08/29\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/08/29?\", \"44 minutes\"], [\"what did I read on 2022/08/29?\", \"a book\"], [\"Did I read on 2022/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/03\": {\"chat0\": {\"eid\": \"e19144\", \"logical_representation\": [\"2022/09/03\", \"Avery, Claire\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Avery, Claire for 45 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire late in the evening on 2022/09/03?\", \"45 minutes\"], [\"who did I talk to on 2022/09/03?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2022/09/03?\", \"yes\"], [\"Did I talk to anyone on 2022/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19145\", \"logical_representation\": [\"2022/09/03\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/09/03?\", \"27 minutes\"], [\"what did I read on 2022/09/03?\", \"a book\"], [\"Did I read on 2022/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/04\": {\"exercise\": {\"eid\": \"e19146\", \"logical_representation\": [\"2022/09/04\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/09/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/04?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19147\", \"logical_representation\": [\"2022/09/04\", \"breakfast\", \"pancakes\", \"Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19148\", \"logical_representation\": [\"2022/09/04\", \"Kinsley, Piper, Piper\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Kinsley, Piper, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Piper during lunch hours on 2022/09/04?\", \"53 minutes\"], [\"who did I talk to on 2022/09/04?\", \"Kinsley, Piper, Piper\"], [\"Did I talk to Kinsley, Piper, Piper on 2022/09/04?\", \"yes\"], [\"Did I talk to anyone on 2022/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19149\", \"logical_representation\": [\"2022/09/04\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/09/04?\", \"26 minutes\"], [\"what did I read on 2022/09/04?\", \"news\"], [\"Did I read on 2022/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/06\": {\"breakfast\": {\"eid\": \"e19155\", \"logical_representation\": [\"2022/09/06\", \"breakfast\", \"pancakes\", \"Piper, Hazel, Claire, Piper, Eva\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19156\", \"logical_representation\": [\"2022/09/06\", \"lunch\", \"fish and chips\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Kayden, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/06?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2022/09/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19157\", \"logical_representation\": [\"2022/09/06\", \"dinner\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/09/06\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2022/09/07\": {\"exercise\": {\"eid\": \"e19158\", \"logical_representation\": [\"2022/09/07\", \"running\"], \"text_template_based\": \"I did running on 2022/09/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/07?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19159\", \"logical_representation\": [\"2022/09/07\", \"lunch\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had indian food for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/07?\", \"Emily\"], [\"what did I eat for lunch on 2022/09/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19160\", \"logical_representation\": [\"2022/09/07\", \"dinner\", \"fish and chips\", \"Benjamin\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/09/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19161\", \"logical_representation\": [\"2022/09/07\", \"Kinsley, Olivia, Piper\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Kinsley, Olivia, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Piper in the early afternoon on 2022/09/07?\", \"22 minutes\"], [\"who did I talk to on 2022/09/07?\", \"Kinsley, Olivia, Piper\"], [\"Did I talk to Kinsley, Olivia, Piper on 2022/09/07?\", \"yes\"], [\"Did I talk to anyone on 2022/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19162\", \"logical_representation\": [\"2022/09/07\", \"Eva, Avery, Piper, Lydia\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Eva, Avery, Piper, Lydia for 5 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Piper, Lydia in the late afternoon on 2022/09/07?\", \"5 minutes\"], [\"who did I talk to on 2022/09/07?\", \"Eva, Avery, Piper, Lydia\"], [\"Did I talk to Eva, Avery, Piper, Lydia on 2022/09/07?\", \"yes\"], [\"Did I talk to anyone on 2022/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19163\", \"logical_representation\": [\"2022/09/07\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/09/07?\", \"52 minutes\"], [\"what did I read on 2022/09/07?\", \"social media\"], [\"Did I read on 2022/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19164\", \"logical_representation\": [\"2022/09/07\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I watched a documentary for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/07?\", \"30 minutes\"], [\"what did I watch on tv on 2022/09/07?\", \"a documentary\"], [\"Did I watch tv on 2022/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/09\": {\"exercise\": {\"eid\": \"e19170\", \"logical_representation\": [\"2022/09/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/09/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19171\", \"logical_representation\": [\"2022/09/09\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19172\", \"logical_representation\": [\"2022/09/09\", \"Piper, Nora\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Piper, Nora for 32 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora late in the evening on 2022/09/09?\", \"32 minutes\"], [\"who did I talk to on 2022/09/09?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2022/09/09?\", \"yes\"], [\"Did I talk to anyone on 2022/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19173\", \"logical_representation\": [\"2022/09/09\", \"Piper, Layla, Rylee, Kinsley\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Rylee, Kinsley for 53 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Rylee, Kinsley in the early evening on 2022/09/09?\", \"53 minutes\"], [\"who did I talk to on 2022/09/09?\", \"Piper, Layla, Rylee, Kinsley\"], [\"Did I talk to Piper, Layla, Rylee, Kinsley on 2022/09/09?\", \"yes\"], [\"Did I talk to anyone on 2022/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19174\", \"logical_representation\": [\"2022/09/09\", \"news\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/09?\", \"21 minutes\"], [\"what did I watch on tv on 2022/09/09?\", \"news\"], [\"Did I watch tv on 2022/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/10\": {\"breakfast\": {\"eid\": \"e19175\", \"logical_representation\": [\"2022/09/10\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19176\", \"logical_representation\": [\"2022/09/10\", \"lunch\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19177\", \"logical_representation\": [\"2022/09/10\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/09/10?\", \"44 minutes\"], [\"what did I read on 2022/09/10?\", \"a book\"], [\"Did I read on 2022/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19178\", \"logical_representation\": [\"2022/09/10\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/10?\", \"20 minutes\"], [\"what did I watch on tv on 2022/09/10?\", \"news\"], [\"Did I watch tv on 2022/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/11\": {\"breakfast\": {\"eid\": \"e19179\", \"logical_representation\": [\"2022/09/11\", \"breakfast\", \"toast and cheese\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19180\", \"logical_representation\": [\"2022/09/11\", \"lunch\", \"chinese food\", \"Benjamin, Willow\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19181\", \"logical_representation\": [\"2022/09/11\", \"dinner\", \"steak\", \"Willow, Benjamin\"], \"text_template_based\": \"I had steak for dinner with Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/09/11?\", \"Willow, Benjamin\"], [\"what did I eat for dinner on 2022/09/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19182\", \"logical_representation\": [\"2022/09/11\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/09/11?\", \"23 minutes\"], [\"what did I read on 2022/09/11?\", \"a book\"], [\"Did I read on 2022/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19183\", \"logical_representation\": [\"2022/09/11\", \"news\", \"20 minutes\"], \"text_template_based\": \"I watched news for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/11?\", \"20 minutes\"], [\"what did I watch on tv on 2022/09/11?\", \"news\"], [\"Did I watch tv on 2022/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/14\": {\"exercise\": {\"eid\": \"e19191\", \"logical_representation\": [\"2022/09/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/09/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19192\", \"logical_representation\": [\"2022/09/14\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Avery, Olivia, Nora, Claire\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19193\", \"logical_representation\": [\"2022/09/14\", \"dinner\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I had a burger for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/09/14?\", \"Kayden\"], [\"what did I eat for dinner on 2022/09/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19194\", \"logical_representation\": [\"2022/09/14\", \"Rylee\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I talked to Rylee for 49 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2022/09/14?\", \"49 minutes\"], [\"who did I talk to on 2022/09/14?\", \"Rylee\"], [\"Did I talk to Rylee on 2022/09/14?\", \"yes\"], [\"Did I talk to anyone on 2022/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19195\", \"logical_representation\": [\"2022/09/14\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/09/14?\", \"28 minutes\"], [\"what did I read on 2022/09/14?\", \"social media\"], [\"Did I read on 2022/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19196\", \"logical_representation\": [\"2022/09/14\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/14?\", \"42 minutes\"], [\"what did I watch on tv on 2022/09/14?\", \"news\"], [\"Did I watch tv on 2022/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/15\": {\"lunch\": {\"eid\": \"e19197\", \"logical_representation\": [\"2022/09/15\", \"lunch\", \"pasta\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19198\", \"logical_representation\": [\"2022/09/15\", \"dinner\", \"fish and chips\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Emily, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/09/15?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2022/09/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2022/09/16\": {\"exercise\": {\"eid\": \"e19199\", \"logical_representation\": [\"2022/09/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19200\", \"logical_representation\": [\"2022/09/16\", \"breakfast\", \"pancakes\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19201\", \"logical_representation\": [\"2022/09/16\", \"Avery, Nevaeh, Hazel, Nora\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I talked to Avery, Nevaeh, Hazel, Nora for 21 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Hazel, Nora during lunch hours on 2022/09/16?\", \"21 minutes\"], [\"who did I talk to on 2022/09/16?\", \"Avery, Nevaeh, Hazel, Nora\"], [\"Did I talk to Avery, Nevaeh, Hazel, Nora on 2022/09/16?\", \"yes\"], [\"Did I talk to anyone on 2022/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19202\", \"logical_representation\": [\"2022/09/16\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/09/16?\", \"33 minutes\"], [\"what did I read on 2022/09/16?\", \"social media\"], [\"Did I read on 2022/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/17\": {\"dinner\": {\"eid\": \"e19203\", \"logical_representation\": [\"2022/09/17\", \"dinner\", \"chinese food\", \"Carter, Emily\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/09/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19204\", \"logical_representation\": [\"2022/09/17\", \"Kinsley\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the late afternoon on 2022/09/17?\", \"39 minutes\"], [\"who did I talk to on 2022/09/17?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2022/09/17?\", \"yes\"], [\"Did I talk to anyone on 2022/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19205\", \"logical_representation\": [\"2022/09/17\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/09/17?\", \"25 minutes\"], [\"what did I read on 2022/09/17?\", \"social media\"], [\"Did I read on 2022/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/18\": {\"exercise\": {\"eid\": \"e19206\", \"logical_representation\": [\"2022/09/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/09/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19207\", \"logical_representation\": [\"2022/09/18\", \"breakfast\", \"pancakes\", \"Hazel, Lydia, Rylee, Olivia, Eva, Kinsley, Avery, Nevaeh, Claire, Piper\"], \"text_template_based\": \"I had breakfast with Hazel, Lydia, Rylee, Olivia, Eva, Kinsley, Avery, Nevaeh, Claire, Piper. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/09/18?\", \"Hazel, Lydia, Rylee, Olivia, Eva, Kinsley, Avery, Nevaeh, Claire, Piper\"], [\"what did I eat for breakfast on 2022/09/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19208\", \"logical_representation\": [\"2022/09/18\", \"lunch\", \"fish and chips\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Kayden. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/18?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2022/09/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19209\", \"logical_representation\": [\"2022/09/18\", \"dinner\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/09/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19210\", \"logical_representation\": [\"2022/09/18\", \"Olivia\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2022/09/18?\", \"51 minutes\"], [\"who did I talk to on 2022/09/18?\", \"Olivia\"], [\"Did I talk to Olivia on 2022/09/18?\", \"yes\"], [\"Did I talk to anyone on 2022/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19211\", \"logical_representation\": [\"2022/09/18\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/09/18?\", \"9 minutes\"], [\"what did I read on 2022/09/18?\", \"news\"], [\"Did I read on 2022/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/20\": {\"breakfast\": {\"eid\": \"e19212\", \"logical_representation\": [\"2022/09/20\", \"breakfast\", \"oatmeal\", \"Benjamin\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19213\", \"logical_representation\": [\"2022/09/20\", \"dinner\", \"chinese food\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/09/20?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2022/09/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19214\", \"logical_representation\": [\"2022/09/20\", \"Layla, Piper\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I talked to Layla, Piper for 44 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper in the late afternoon on 2022/09/20?\", \"44 minutes\"], [\"who did I talk to on 2022/09/20?\", \"Layla, Piper\"], [\"Did I talk to Layla, Piper on 2022/09/20?\", \"yes\"], [\"Did I talk to anyone on 2022/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/21\": {\"exercise\": {\"eid\": \"e19215\", \"logical_representation\": [\"2022/09/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/09/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19216\", \"logical_representation\": [\"2022/09/21\", \"dinner\", \"steak\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/09/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19217\", \"logical_representation\": [\"2022/09/21\", \"Piper, Nevaeh, Rylee, Claire\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Piper, Nevaeh, Rylee, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Rylee, Claire late in the evening on 2022/09/21?\", \"26 minutes\"], [\"who did I talk to on 2022/09/21?\", \"Piper, Nevaeh, Rylee, Claire\"], [\"Did I talk to Piper, Nevaeh, Rylee, Claire on 2022/09/21?\", \"yes\"], [\"Did I talk to anyone on 2022/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19218\", \"logical_representation\": [\"2022/09/21\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/09/21?\", \"21 minutes\"], [\"what did I read on 2022/09/21?\", \"social media\"], [\"Did I read on 2022/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/22\": {\"lunch\": {\"eid\": \"e19219\", \"logical_representation\": [\"2022/09/22\", \"lunch\", \"fish and chips\", \"Eva, Layla, Olivia, Rylee, Nevaeh, Kinsley, Claire, Avery, Hazel, Nora, Piper, Lydia\"], \"text_template_based\": \"I had lunch with Eva, Layla, Olivia, Rylee, Nevaeh, Kinsley, Claire, Avery, Hazel, Nora, Piper, Lydia. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/22?\", \"Eva, Layla, Olivia, Rylee, Nevaeh, Kinsley, Claire, Avery, Hazel, Nora, Piper, Lydia\"], [\"what did I eat for lunch on 2022/09/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19220\", \"logical_representation\": [\"2022/09/22\", \"a documentary\", \"11 minutes\"], \"text_template_based\": \"I watched a documentary for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/22?\", \"11 minutes\"], [\"what did I watch on tv on 2022/09/22?\", \"a documentary\"], [\"Did I watch tv on 2022/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/24\": {\"dinner\": {\"eid\": \"e19225\", \"logical_representation\": [\"2022/09/24\", \"dinner\", \"sushi\", \"Avery\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/09/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19226\", \"logical_representation\": [\"2022/09/24\", \"Nevaeh\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 15 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early afternoon on 2022/09/24?\", \"15 minutes\"], [\"who did I talk to on 2022/09/24?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2022/09/24?\", \"yes\"], [\"Did I talk to anyone on 2022/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19227\", \"logical_representation\": [\"2022/09/24\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/09/24?\", \"53 minutes\"], [\"what did I read on 2022/09/24?\", \"news\"], [\"Did I read on 2022/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/25\": {\"lunch\": {\"eid\": \"e19228\", \"logical_representation\": [\"2022/09/25\", \"lunch\", \"sushi\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had sushi for lunch with Emily, Carter, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/25?\", \"Emily, Carter, Andrew, Kayden\"], [\"what did I eat for lunch on 2022/09/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19229\", \"logical_representation\": [\"2022/09/25\", \"Avery, Lydia, Eva, Olivia\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Avery, Lydia, Eva, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Eva, Olivia late in the evening on 2022/09/25?\", \"32 minutes\"], [\"who did I talk to on 2022/09/25?\", \"Avery, Lydia, Eva, Olivia\"], [\"Did I talk to Avery, Lydia, Eva, Olivia on 2022/09/25?\", \"yes\"], [\"Did I talk to anyone on 2022/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19230\", \"logical_representation\": [\"2022/09/25\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/09/25?\", \"20 minutes\"], [\"what did I read on 2022/09/25?\", \"social media\"], [\"Did I read on 2022/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19231\", \"logical_representation\": [\"2022/09/25\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I watched a tv series for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/25?\", \"55 minutes\"], [\"what did I watch on tv on 2022/09/25?\", \"a tv series\"], [\"Did I watch tv on 2022/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/27\": {\"exercise\": {\"eid\": \"e19236\", \"logical_representation\": [\"2022/09/27\", \"running\"], \"text_template_based\": \"I did running on 2022/09/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19237\", \"logical_representation\": [\"2022/09/27\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Rylee\"], \"text_template_based\": \"I had breakfast with Avery, Rylee. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/09/27?\", \"Avery, Rylee\"], [\"what did I eat for breakfast on 2022/09/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19238\", \"logical_representation\": [\"2022/09/27\", \"lunch\", \"tacos\", \"Rylee, Kinsley, Claire, Avery, Lydia, Piper, Nora, Piper, Nevaeh\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19239\", \"logical_representation\": [\"2022/09/27\", \"Lydia, Kinsley\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Lydia, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley late in the evening on 2022/09/27?\", \"46 minutes\"], [\"who did I talk to on 2022/09/27?\", \"Lydia, Kinsley\"], [\"Did I talk to Lydia, Kinsley on 2022/09/27?\", \"yes\"], [\"Did I talk to anyone on 2022/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19240\", \"logical_representation\": [\"2022/09/27\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/27?\", \"28 minutes\"], [\"what did I watch on tv on 2022/09/27?\", \"a tv series\"], [\"Did I watch tv on 2022/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/28\": {\"breakfast\": {\"eid\": \"e19241\", \"logical_representation\": [\"2022/09/28\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Nevaeh, Rylee, Claire, Piper, Hazel, Kinsley, Layla, Piper, Olivia, Eva, Lydia, Nora\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Avery, Nevaeh, Rylee, Claire, Piper, Hazel, Kinsley, Layla, Piper, Olivia, Eva, Lydia, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/09/28?\", \"Avery, Nevaeh, Rylee, Claire, Piper, Hazel, Kinsley, Layla, Piper, Olivia, Eva, Lydia, Nora\"], [\"what did I eat for breakfast on 2022/09/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19242\", \"logical_representation\": [\"2022/09/28\", \"dinner\", \"steak\", \"Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/09/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19243\", \"logical_representation\": [\"2022/09/28\", \"Kinsley, Claire, Lydia\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire, Lydia for 48 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Lydia in the late afternoon on 2022/09/28?\", \"48 minutes\"], [\"who did I talk to on 2022/09/28?\", \"Kinsley, Claire, Lydia\"], [\"Did I talk to Kinsley, Claire, Lydia on 2022/09/28?\", \"yes\"], [\"Did I talk to anyone on 2022/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19244\", \"logical_representation\": [\"2022/09/28\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I watched a documentary for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/28?\", \"23 minutes\"], [\"what did I watch on tv on 2022/09/28?\", \"a documentary\"], [\"Did I watch tv on 2022/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/30\": {\"dinner\": {\"eid\": \"e19250\", \"logical_representation\": [\"2022/09/30\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/09/30?\", \"Kayden\"], [\"what did I eat for dinner on 2022/09/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19251\", \"logical_representation\": [\"2022/09/30\", \"Rylee\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Rylee for 32 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2022/09/30?\", \"32 minutes\"], [\"who did I talk to on 2022/09/30?\", \"Rylee\"], [\"Did I talk to Rylee on 2022/09/30?\", \"yes\"], [\"Did I talk to anyone on 2022/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19252\", \"logical_representation\": [\"2022/09/30\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/09/30?\", \"14 minutes\"], [\"what did I read on 2022/09/30?\", \"a book\"], [\"Did I read on 2022/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/02\": {\"dinner\": {\"eid\": \"e19258\", \"logical_representation\": [\"2022/10/02\", \"dinner\", \"chinese food\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/10/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19259\", \"logical_representation\": [\"2022/10/02\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/10/02?\", \"19 minutes\"], [\"what did I read on 2022/10/02?\", \"news\"], [\"Did I read on 2022/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19260\", \"logical_representation\": [\"2022/10/02\", \"a movie\", \"15 minutes\"], \"text_template_based\": \"I watched a movie for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/02?\", \"15 minutes\"], [\"what did I watch on tv on 2022/10/02?\", \"a movie\"], [\"Did I watch tv on 2022/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/03\": {\"exercise\": {\"eid\": \"e19261\", \"logical_representation\": [\"2022/10/03\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/10/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/03?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19262\", \"logical_representation\": [\"2022/10/03\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19263\", \"logical_representation\": [\"2022/10/03\", \"lunch\", \"fish and chips\", \"Avery, Lydia\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19264\", \"logical_representation\": [\"2022/10/03\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/10/03?\", \"48 minutes\"], [\"what did I read on 2022/10/03?\", \"a book\"], [\"Did I read on 2022/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/04\": {\"dinner\": {\"eid\": \"e19265\", \"logical_representation\": [\"2022/10/04\", \"dinner\", \"steak\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I had dinner with Willow, Benjamin, Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/10/04?\", \"Willow, Benjamin, Avery\"], [\"what did I eat for dinner on 2022/10/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19266\", \"logical_representation\": [\"2022/10/04\", \"Claire\", \"during lunch hours\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2022/10/04?\", \"32 minutes\"], [\"who did I talk to on 2022/10/04?\", \"Claire\"], [\"Did I talk to Claire on 2022/10/04?\", \"yes\"], [\"Did I talk to anyone on 2022/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19267\", \"logical_representation\": [\"2022/10/04\", \"Olivia, Rylee, Piper\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Olivia, Rylee, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee, Piper late in the evening on 2022/10/04?\", \"17 minutes\"], [\"who did I talk to on 2022/10/04?\", \"Olivia, Rylee, Piper\"], [\"Did I talk to Olivia, Rylee, Piper on 2022/10/04?\", \"yes\"], [\"Did I talk to anyone on 2022/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19268\", \"logical_representation\": [\"2022/10/04\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/10/04?\", \"44 minutes\"], [\"what did I read on 2022/10/04?\", \"a book\"], [\"Did I read on 2022/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/05\": {\"exercise\": {\"eid\": \"e19269\", \"logical_representation\": [\"2022/10/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/10/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19270\", \"logical_representation\": [\"2022/10/05\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/10/05?\", \"Andrew\"], [\"what did I eat for breakfast on 2022/10/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19271\", \"logical_representation\": [\"2022/10/05\", \"Kinsley, Nevaeh, Hazel\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Kinsley, Nevaeh, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Hazel in the late afternoon on 2022/10/05?\", \"20 minutes\"], [\"who did I talk to on 2022/10/05?\", \"Kinsley, Nevaeh, Hazel\"], [\"Did I talk to Kinsley, Nevaeh, Hazel on 2022/10/05?\", \"yes\"], [\"Did I talk to anyone on 2022/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19272\", \"logical_representation\": [\"2022/10/05\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/10/05?\", \"44 minutes\"], [\"what did I read on 2022/10/05?\", \"social media\"], [\"Did I read on 2022/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/07\": {\"exercise\": {\"eid\": \"e19277\", \"logical_representation\": [\"2022/10/07\", \"running\"], \"text_template_based\": \"I did running on 2022/10/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/07?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19278\", \"logical_representation\": [\"2022/10/07\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19279\", \"logical_representation\": [\"2022/10/07\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/07?\", \"22 minutes\"], [\"what did I watch on tv on 2022/10/07?\", \"a documentary\"], [\"Did I watch tv on 2022/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/08\": {\"exercise\": {\"eid\": \"e19280\", \"logical_representation\": [\"2022/10/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/10/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19281\", \"logical_representation\": [\"2022/10/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19282\", \"logical_representation\": [\"2022/10/08\", \"Nevaeh\", \"during lunch hours\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh during lunch hours on 2022/10/08?\", \"40 minutes\"], [\"who did I talk to on 2022/10/08?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2022/10/08?\", \"yes\"], [\"Did I talk to anyone on 2022/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19283\", \"logical_representation\": [\"2022/10/08\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/10/08?\", \"23 minutes\"], [\"what did I read on 2022/10/08?\", \"news\"], [\"Did I read on 2022/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19284\", \"logical_representation\": [\"2022/10/08\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/08?\", \"50 minutes\"], [\"what did I watch on tv on 2022/10/08?\", \"a tv series\"], [\"Did I watch tv on 2022/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/10\": {\"lunch\": {\"eid\": \"e19290\", \"logical_representation\": [\"2022/10/10\", \"lunch\", \"sandwich\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Andrew, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/10/10?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2022/10/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19291\", \"logical_representation\": [\"2022/10/10\", \"dinner\", \"sushi\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/10/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19292\", \"logical_representation\": [\"2022/10/10\", \"Piper, Piper, Claire\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Piper, Piper, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Claire in the early afternoon on 2022/10/10?\", \"36 minutes\"], [\"who did I talk to on 2022/10/10?\", \"Piper, Piper, Claire\"], [\"Did I talk to Piper, Piper, Claire on 2022/10/10?\", \"yes\"], [\"Did I talk to anyone on 2022/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19293\", \"logical_representation\": [\"2022/10/10\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/10/10?\", \"15 minutes\"], [\"what did I read on 2022/10/10?\", \"a book\"], [\"Did I read on 2022/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/11\": {\"breakfast\": {\"eid\": \"e19294\", \"logical_representation\": [\"2022/10/11\", \"breakfast\", \"pancakes\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/11\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19295\", \"logical_representation\": [\"2022/10/11\", \"dinner\", \"a burger\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Andrew. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/10/11?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2022/10/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19296\", \"logical_representation\": [\"2022/10/11\", \"Piper\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I talked to Piper for 20 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2022/10/11?\", \"20 minutes\"], [\"who did I talk to on 2022/10/11?\", \"Piper\"], [\"Did I talk to Piper on 2022/10/11?\", \"yes\"], [\"Did I talk to anyone on 2022/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19297\", \"logical_representation\": [\"2022/10/11\", \"Piper\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2022/10/11?\", \"39 minutes\"], [\"who did I talk to on 2022/10/11?\", \"Piper\"], [\"Did I talk to Piper on 2022/10/11?\", \"yes\"], [\"Did I talk to anyone on 2022/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19298\", \"logical_representation\": [\"2022/10/11\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/10/11?\", \"42 minutes\"], [\"what did I read on 2022/10/11?\", \"a book\"], [\"Did I read on 2022/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/12\": {\"breakfast\": {\"eid\": \"e19299\", \"logical_representation\": [\"2022/10/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Avery, Rylee, Layla, Kinsley, Nevaeh, Lydia, Claire, Piper, Olivia, Eva\"], \"text_template_based\": \"I had breakfast with Hazel, Avery, Rylee, Layla, Kinsley, Nevaeh, Lydia, Claire, Piper, Olivia, Eva. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/10/12?\", \"Hazel, Avery, Rylee, Layla, Kinsley, Nevaeh, Lydia, Claire, Piper, Olivia, Eva\"], [\"what did I eat for breakfast on 2022/10/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19300\", \"logical_representation\": [\"2022/10/12\", \"dinner\", \"sandwich\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had sandwich for dinner with Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/10/12?\", \"Benjamin, Jackson\"], [\"what did I eat for dinner on 2022/10/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19301\", \"logical_representation\": [\"2022/10/12\", \"Hazel, Eva\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Hazel, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Eva in the morning on 2022/10/12?\", \"49 minutes\"], [\"who did I talk to on 2022/10/12?\", \"Hazel, Eva\"], [\"Did I talk to Hazel, Eva on 2022/10/12?\", \"yes\"], [\"Did I talk to anyone on 2022/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19302\", \"logical_representation\": [\"2022/10/12\", \"Piper\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Piper for 24 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2022/10/12?\", \"24 minutes\"], [\"who did I talk to on 2022/10/12?\", \"Piper\"], [\"Did I talk to Piper on 2022/10/12?\", \"yes\"], [\"Did I talk to anyone on 2022/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19303\", \"logical_representation\": [\"2022/10/12\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/10/12?\", \"25 minutes\"], [\"what did I read on 2022/10/12?\", \"social media\"], [\"Did I read on 2022/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/13\": {\"breakfast\": {\"eid\": \"e19304\", \"logical_representation\": [\"2022/10/13\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19305\", \"logical_representation\": [\"2022/10/13\", \"lunch\", \"steak\", \"Layla, Piper, Rylee, Nora, Lydia\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19306\", \"logical_representation\": [\"2022/10/13\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/10/13?\", \"44 minutes\"], [\"what did I read on 2022/10/13?\", \"news\"], [\"Did I read on 2022/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19307\", \"logical_representation\": [\"2022/10/13\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/13?\", \"49 minutes\"], [\"what did I watch on tv on 2022/10/13?\", \"a tv series\"], [\"Did I watch tv on 2022/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/14\": {\"exercise\": {\"eid\": \"e19308\", \"logical_representation\": [\"2022/10/14\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/10/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/14?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19309\", \"logical_representation\": [\"2022/10/14\", \"lunch\", \"fish and chips\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19310\", \"logical_representation\": [\"2022/10/14\", \"dinner\", \"steak\", \"Lydia, Kinsley, Nevaeh, Claire, Rylee, Eva, Olivia, Nora, Avery, Piper, Hazel, Layla\"], \"text_template_based\": \"I had steak for dinner with Lydia, Kinsley, Nevaeh, Claire, Rylee, Eva, Olivia, Nora, Avery, Piper, Hazel, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/10/14?\", \"Lydia, Kinsley, Nevaeh, Claire, Rylee, Eva, Olivia, Nora, Avery, Piper, Hazel, Layla\"], [\"what did I eat for dinner on 2022/10/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19311\", \"logical_representation\": [\"2022/10/14\", \"Lydia\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Lydia for 15 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the late afternoon on 2022/10/14?\", \"15 minutes\"], [\"who did I talk to on 2022/10/14?\", \"Lydia\"], [\"Did I talk to Lydia on 2022/10/14?\", \"yes\"], [\"Did I talk to anyone on 2022/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19312\", \"logical_representation\": [\"2022/10/14\", \"Eva, Avery\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Eva, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery during lunch hours on 2022/10/14?\", \"18 minutes\"], [\"who did I talk to on 2022/10/14?\", \"Eva, Avery\"], [\"Did I talk to Eva, Avery on 2022/10/14?\", \"yes\"], [\"Did I talk to anyone on 2022/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/15\": {\"exercise\": {\"eid\": \"e19313\", \"logical_representation\": [\"2022/10/15\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/15?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19314\", \"logical_representation\": [\"2022/10/15\", \"dinner\", \"steak\", \"Kinsley\"], \"text_template_based\": \"I had dinner with Kinsley. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/10/15?\", \"Kinsley\"], [\"what did I eat for dinner on 2022/10/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19315\", \"logical_representation\": [\"2022/10/15\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/15?\", \"17 minutes\"], [\"what did I watch on tv on 2022/10/15?\", \"a movie\"], [\"Did I watch tv on 2022/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/16\": {\"exercise\": {\"eid\": \"e19316\", \"logical_representation\": [\"2022/10/16\", \"running\"], \"text_template_based\": \"I did running on 2022/10/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19317\", \"logical_representation\": [\"2022/10/16\", \"breakfast\", \"oatmeal\", \"Jackson, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Willow. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/10/16?\", \"Jackson, Willow\"], [\"what did I eat for breakfast on 2022/10/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19318\", \"logical_representation\": [\"2022/10/16\", \"lunch\", \"fish and chips\", \"Piper\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19319\", \"logical_representation\": [\"2022/10/16\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/10/16?\", \"19 minutes\"], [\"what did I read on 2022/10/16?\", \"a book\"], [\"Did I read on 2022/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/17\": {\"exercise\": {\"eid\": \"e19320\", \"logical_representation\": [\"2022/10/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/10/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19321\", \"logical_representation\": [\"2022/10/17\", \"breakfast\", \"peanut-butter-jam\", \"Olivia, Hazel, Piper, Claire, Eva, Nora\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19322\", \"logical_representation\": [\"2022/10/17\", \"lunch\", \"sandwich\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had lunch with Avery, Jackson, Willow. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/10/17?\", \"Avery, Jackson, Willow\"], [\"what did I eat for lunch on 2022/10/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2022/10/18\": {\"exercise\": {\"eid\": \"e19323\", \"logical_representation\": [\"2022/10/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/10/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19324\", \"logical_representation\": [\"2022/10/18\", \"dinner\", \"a burger\", \"Kayden, Emily\"], \"text_template_based\": \"I had a burger for dinner with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/10/18?\", \"Kayden, Emily\"], [\"what did I eat for dinner on 2022/10/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19325\", \"logical_representation\": [\"2022/10/18\", \"Piper, Nora, Piper\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Piper, Nora, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Piper in the late afternoon on 2022/10/18?\", \"15 minutes\"], [\"who did I talk to on 2022/10/18?\", \"Piper, Nora, Piper\"], [\"Did I talk to Piper, Nora, Piper on 2022/10/18?\", \"yes\"], [\"Did I talk to anyone on 2022/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/20\": {\"lunch\": {\"eid\": \"e19330\", \"logical_representation\": [\"2022/10/20\", \"lunch\", \"pasta\", \"Avery\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19331\", \"logical_representation\": [\"2022/10/20\", \"dinner\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/10/20?\", \"Kayden\"], [\"what did I eat for dinner on 2022/10/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19332\", \"logical_representation\": [\"2022/10/20\", \"Kinsley, Nora\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Kinsley, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora in the early evening on 2022/10/20?\", \"35 minutes\"], [\"who did I talk to on 2022/10/20?\", \"Kinsley, Nora\"], [\"Did I talk to Kinsley, Nora on 2022/10/20?\", \"yes\"], [\"Did I talk to anyone on 2022/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19333\", \"logical_representation\": [\"2022/10/20\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/10/20?\", \"23 minutes\"], [\"what did I read on 2022/10/20?\", \"a book\"], [\"Did I read on 2022/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/23\": {\"exercise\": {\"eid\": \"e19342\", \"logical_representation\": [\"2022/10/23\", \"running\"], \"text_template_based\": \"I did running on 2022/10/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19343\", \"logical_representation\": [\"2022/10/23\", \"dinner\", \"pasta\", \"Kinsley, Nevaeh, Olivia, Lydia, Rylee, Piper, Piper, Nora, Claire, Avery, Layla\"], \"text_template_based\": \"I had dinner with Kinsley, Nevaeh, Olivia, Lydia, Rylee, Piper, Piper, Nora, Claire, Avery, Layla. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/10/23?\", \"Kinsley, Nevaeh, Olivia, Lydia, Rylee, Piper, Piper, Nora, Claire, Avery, Layla\"], [\"what did I eat for dinner on 2022/10/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19344\", \"logical_representation\": [\"2022/10/23\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/10/23?\", \"17 minutes\"], [\"what did I read on 2022/10/23?\", \"social media\"], [\"Did I read on 2022/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19345\", \"logical_representation\": [\"2022/10/23\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I watched a tv series for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/23?\", \"39 minutes\"], [\"what did I watch on tv on 2022/10/23?\", \"a tv series\"], [\"Did I watch tv on 2022/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/24\": {\"breakfast\": {\"eid\": \"e19346\", \"logical_representation\": [\"2022/10/24\", \"breakfast\", \"pancakes\", \"Piper, Claire, Rylee, Layla, Nora, Lydia, Olivia\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19347\", \"logical_representation\": [\"2022/10/24\", \"dinner\", \"tacos\", \"Piper, Piper, Eva, Layla, Nevaeh\"], \"text_template_based\": \"I had tacos for dinner with Piper, Piper, Eva, Layla, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/10/24?\", \"Piper, Piper, Eva, Layla, Nevaeh\"], [\"what did I eat for dinner on 2022/10/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19348\", \"logical_representation\": [\"2022/10/24\", \"Piper, Layla, Rylee, Nevaeh\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Rylee, Nevaeh for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Rylee, Nevaeh in the morning on 2022/10/24?\", \"43 minutes\"], [\"who did I talk to on 2022/10/24?\", \"Piper, Layla, Rylee, Nevaeh\"], [\"Did I talk to Piper, Layla, Rylee, Nevaeh on 2022/10/24?\", \"yes\"], [\"Did I talk to anyone on 2022/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/26\": {\"exercise\": {\"eid\": \"e19353\", \"logical_representation\": [\"2022/10/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/10/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19354\", \"logical_representation\": [\"2022/10/26\", \"breakfast\", \"toast and cheese\", \"Piper, Layla, Claire, Nora, Kinsley, Nevaeh, Lydia, Olivia, Hazel, Eva\"], \"text_template_based\": \"I had toast and cheese for breakfast with Piper, Layla, Claire, Nora, Kinsley, Nevaeh, Lydia, Olivia, Hazel, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/10/26?\", \"Piper, Layla, Claire, Nora, Kinsley, Nevaeh, Lydia, Olivia, Hazel, Eva\"], [\"what did I eat for breakfast on 2022/10/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19355\", \"logical_representation\": [\"2022/10/26\", \"dinner\", \"steak\", \"Olivia, Nevaeh, Lydia, Claire, Eva\"], \"text_template_based\": \"I had steak for dinner with Olivia, Nevaeh, Lydia, Claire, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/10/26?\", \"Olivia, Nevaeh, Lydia, Claire, Eva\"], [\"what did I eat for dinner on 2022/10/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19356\", \"logical_representation\": [\"2022/10/26\", \"Layla, Rylee, Nevaeh, Eva\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Layla, Rylee, Nevaeh, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Nevaeh, Eva late in the evening on 2022/10/26?\", \"20 minutes\"], [\"who did I talk to on 2022/10/26?\", \"Layla, Rylee, Nevaeh, Eva\"], [\"Did I talk to Layla, Rylee, Nevaeh, Eva on 2022/10/26?\", \"yes\"], [\"Did I talk to anyone on 2022/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/27\": {\"exercise\": {\"eid\": \"e19357\", \"logical_representation\": [\"2022/10/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/10/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19358\", \"logical_representation\": [\"2022/10/27\", \"lunch\", \"chinese food\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19359\", \"logical_representation\": [\"2022/10/27\", \"dinner\", \"tacos\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/10/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19360\", \"logical_representation\": [\"2022/10/27\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/27?\", \"33 minutes\"], [\"what did I watch on tv on 2022/10/27?\", \"a documentary\"], [\"Did I watch tv on 2022/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/28\": {\"exercise\": {\"eid\": \"e19361\", \"logical_representation\": [\"2022/10/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/10/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19362\", \"logical_representation\": [\"2022/10/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19363\", \"logical_representation\": [\"2022/10/28\", \"lunch\", \"a burger\", \"Avery, Benjamin\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19364\", \"logical_representation\": [\"2022/10/28\", \"Piper, Eva, Piper, Lydia\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Piper, Eva, Piper, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Piper, Lydia in the late afternoon on 2022/10/28?\", \"34 minutes\"], [\"who did I talk to on 2022/10/28?\", \"Piper, Eva, Piper, Lydia\"], [\"Did I talk to Piper, Eva, Piper, Lydia on 2022/10/28?\", \"yes\"], [\"Did I talk to anyone on 2022/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/30\": {\"breakfast\": {\"eid\": \"e19369\", \"logical_representation\": [\"2022/10/30\", \"breakfast\", \"pancakes\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19370\", \"logical_representation\": [\"2022/10/30\", \"Rylee, Piper, Layla, Hazel\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Rylee, Piper, Layla, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Layla, Hazel late in the evening on 2022/10/30?\", \"24 minutes\"], [\"who did I talk to on 2022/10/30?\", \"Rylee, Piper, Layla, Hazel\"], [\"Did I talk to Rylee, Piper, Layla, Hazel on 2022/10/30?\", \"yes\"], [\"Did I talk to anyone on 2022/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19371\", \"logical_representation\": [\"2022/10/30\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I watched a movie for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/30?\", \"17 minutes\"], [\"what did I watch on tv on 2022/10/30?\", \"a movie\"], [\"Did I watch tv on 2022/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/31\": {\"exercise\": {\"eid\": \"e19372\", \"logical_representation\": [\"2022/10/31\", \"biking\"], \"text_template_based\": \"I did biking on 2022/10/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/31?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19373\", \"logical_representation\": [\"2022/10/31\", \"a tv series\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/31?\", \"14 minutes\"], [\"what did I watch on tv on 2022/10/31?\", \"a tv series\"], [\"Did I watch tv on 2022/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/01\": {\"exercise\": {\"eid\": \"e19374\", \"logical_representation\": [\"2022/11/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/11/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19375\", \"logical_representation\": [\"2022/11/01\", \"dinner\", \"sushi\", \"Layla, Avery, Hazel, Piper, Lydia, Olivia, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/11/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19376\", \"logical_representation\": [\"2022/11/01\", \"Piper\", \"in the morning\", \"12 minutes\"], \"text_template_based\": \"I talked to Piper for 12 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2022/11/01?\", \"12 minutes\"], [\"who did I talk to on 2022/11/01?\", \"Piper\"], [\"Did I talk to Piper on 2022/11/01?\", \"yes\"], [\"Did I talk to anyone on 2022/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/03\": {\"exercise\": {\"eid\": \"e19382\", \"logical_representation\": [\"2022/11/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/11/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19383\", \"logical_representation\": [\"2022/11/03\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Avery, Nevaeh, Nora\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/03\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19384\", \"logical_representation\": [\"2022/11/03\", \"Layla, Hazel\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I talked to Layla, Hazel for 48 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel in the morning on 2022/11/03?\", \"48 minutes\"], [\"who did I talk to on 2022/11/03?\", \"Layla, Hazel\"], [\"Did I talk to Layla, Hazel on 2022/11/03?\", \"yes\"], [\"Did I talk to anyone on 2022/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19385\", \"logical_representation\": [\"2022/11/03\", \"Rylee, Eva, Hazel\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Rylee, Eva, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Hazel in the early evening on 2022/11/03?\", \"40 minutes\"], [\"who did I talk to on 2022/11/03?\", \"Rylee, Eva, Hazel\"], [\"Did I talk to Rylee, Eva, Hazel on 2022/11/03?\", \"yes\"], [\"Did I talk to anyone on 2022/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19386\", \"logical_representation\": [\"2022/11/03\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/11/03?\", \"17 minutes\"], [\"what did I read on 2022/11/03?\", \"social media\"], [\"Did I read on 2022/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19387\", \"logical_representation\": [\"2022/11/03\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I watched a tv series for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/03?\", \"13 minutes\"], [\"what did I watch on tv on 2022/11/03?\", \"a tv series\"], [\"Did I watch tv on 2022/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/05\": {\"breakfast\": {\"eid\": \"e19395\", \"logical_representation\": [\"2022/11/05\", \"breakfast\", \"toast and cheese\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19396\", \"logical_representation\": [\"2022/11/05\", \"Avery, Lydia\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Avery, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia in the morning on 2022/11/05?\", \"11 minutes\"], [\"who did I talk to on 2022/11/05?\", \"Avery, Lydia\"], [\"Did I talk to Avery, Lydia on 2022/11/05?\", \"yes\"], [\"Did I talk to anyone on 2022/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19397\", \"logical_representation\": [\"2022/11/05\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/11/05?\", \"30 minutes\"], [\"what did I read on 2022/11/05?\", \"a book\"], [\"Did I read on 2022/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19398\", \"logical_representation\": [\"2022/11/05\", \"a movie\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/05?\", \"42 minutes\"], [\"what did I watch on tv on 2022/11/05?\", \"a movie\"], [\"Did I watch tv on 2022/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/08\": {\"lunch\": {\"eid\": \"e19406\", \"logical_representation\": [\"2022/11/08\", \"lunch\", \"a burger\", \"Jackson\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/11/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19407\", \"logical_representation\": [\"2022/11/08\", \"Kinsley\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the late afternoon on 2022/11/08?\", \"52 minutes\"], [\"who did I talk to on 2022/11/08?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2022/11/08?\", \"yes\"], [\"Did I talk to anyone on 2022/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19408\", \"logical_representation\": [\"2022/11/08\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/11/08?\", \"46 minutes\"], [\"what did I read on 2022/11/08?\", \"news\"], [\"Did I read on 2022/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19409\", \"logical_representation\": [\"2022/11/08\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/08?\", \"42 minutes\"], [\"what did I watch on tv on 2022/11/08?\", \"a documentary\"], [\"Did I watch tv on 2022/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/09\": {\"exercise\": {\"eid\": \"e19410\", \"logical_representation\": [\"2022/11/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/11/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19411\", \"logical_representation\": [\"2022/11/09\", \"lunch\", \"steak\", \"Rylee, Piper, Hazel, Claire, Piper, Olivia, Avery, Lydia, Kinsley, Layla, Eva, Nevaeh, Nora\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/11/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19412\", \"logical_representation\": [\"2022/11/09\", \"Claire, Piper, Eva\", \"late in the evening\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Claire, Piper, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Eva late in the evening on 2022/11/09?\", \"8 minutes\"], [\"who did I talk to on 2022/11/09?\", \"Claire, Piper, Eva\"], [\"Did I talk to Claire, Piper, Eva on 2022/11/09?\", \"yes\"], [\"Did I talk to anyone on 2022/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19413\", \"logical_representation\": [\"2022/11/09\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/11/09?\", \"35 minutes\"], [\"what did I read on 2022/11/09?\", \"news\"], [\"Did I read on 2022/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/10\": {\"exercise\": {\"eid\": \"e19414\", \"logical_representation\": [\"2022/11/10\", \"biking\"], \"text_template_based\": \"I did biking on 2022/11/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19415\", \"logical_representation\": [\"2022/11/10\", \"lunch\", \"indian food\", \"Kayden, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/11/10?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2022/11/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19416\", \"logical_representation\": [\"2022/11/10\", \"Hazel, Lydia\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Hazel, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia in the late afternoon on 2022/11/10?\", \"23 minutes\"], [\"who did I talk to on 2022/11/10?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2022/11/10?\", \"yes\"], [\"Did I talk to anyone on 2022/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19417\", \"logical_representation\": [\"2022/11/10\", \"Piper\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Piper for 28 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2022/11/10?\", \"28 minutes\"], [\"who did I talk to on 2022/11/10?\", \"Piper\"], [\"Did I talk to Piper on 2022/11/10?\", \"yes\"], [\"Did I talk to anyone on 2022/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19418\", \"logical_representation\": [\"2022/11/10\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/11/10?\", \"18 minutes\"], [\"what did I read on 2022/11/10?\", \"news\"], [\"Did I read on 2022/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/12\": {\"lunch\": {\"eid\": \"e19422\", \"logical_representation\": [\"2022/11/12\", \"lunch\", \"tacos\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/11/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19423\", \"logical_representation\": [\"2022/11/12\", \"dinner\", \"indian food\", \"Avery\"], \"text_template_based\": \"I had dinner with Avery. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/11/12?\", \"Avery\"], [\"what did I eat for dinner on 2022/11/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19424\", \"logical_representation\": [\"2022/11/12\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/11/12?\", \"19 minutes\"], [\"what did I read on 2022/11/12?\", \"a book\"], [\"Did I read on 2022/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/13\": {\"exercise\": {\"eid\": \"e19425\", \"logical_representation\": [\"2022/11/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/11/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19426\", \"logical_representation\": [\"2022/11/13\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19427\", \"logical_representation\": [\"2022/11/13\", \"Piper, Avery\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper, Avery for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery in the morning on 2022/11/13?\", \"43 minutes\"], [\"who did I talk to on 2022/11/13?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2022/11/13?\", \"yes\"], [\"Did I talk to anyone on 2022/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19428\", \"logical_representation\": [\"2022/11/13\", \"Piper\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2022/11/13?\", \"46 minutes\"], [\"who did I talk to on 2022/11/13?\", \"Piper\"], [\"Did I talk to Piper on 2022/11/13?\", \"yes\"], [\"Did I talk to anyone on 2022/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19429\", \"logical_representation\": [\"2022/11/13\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/11/13?\", \"51 minutes\"], [\"what did I read on 2022/11/13?\", \"social media\"], [\"Did I read on 2022/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/16\": {\"exercise\": {\"eid\": \"e19434\", \"logical_representation\": [\"2022/11/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/11/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19435\", \"logical_representation\": [\"2022/11/16\", \"lunch\", \"steak\", \"Jackson\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/11/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19436\", \"logical_representation\": [\"2022/11/16\", \"Claire, Rylee\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Claire, Rylee for 11 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee in the late afternoon on 2022/11/16?\", \"11 minutes\"], [\"who did I talk to on 2022/11/16?\", \"Claire, Rylee\"], [\"Did I talk to Claire, Rylee on 2022/11/16?\", \"yes\"], [\"Did I talk to anyone on 2022/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19437\", \"logical_representation\": [\"2022/11/16\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/11/16?\", \"45 minutes\"], [\"what did I read on 2022/11/16?\", \"social media\"], [\"Did I read on 2022/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19438\", \"logical_representation\": [\"2022/11/16\", \"a tv series\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/16?\", \"19 minutes\"], [\"what did I watch on tv on 2022/11/16?\", \"a tv series\"], [\"Did I watch tv on 2022/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/17\": {\"exercise\": {\"eid\": \"e19439\", \"logical_representation\": [\"2022/11/17\", \"biking\"], \"text_template_based\": \"I did biking on 2022/11/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19440\", \"logical_representation\": [\"2022/11/17\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/17\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19441\", \"logical_representation\": [\"2022/11/17\", \"Lydia\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2022/11/17?\", \"19 minutes\"], [\"who did I talk to on 2022/11/17?\", \"Lydia\"], [\"Did I talk to Lydia on 2022/11/17?\", \"yes\"], [\"Did I talk to anyone on 2022/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19442\", \"logical_representation\": [\"2022/11/17\", \"news\", \"21 minutes\"], \"text_template_based\": \"I watched news for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/17?\", \"21 minutes\"], [\"what did I watch on tv on 2022/11/17?\", \"news\"], [\"Did I watch tv on 2022/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/18\": {\"chat1\": {\"eid\": \"e19443\", \"logical_representation\": [\"2022/11/18\", \"Piper, Avery, Layla, Hazel\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Piper, Avery, Layla, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Layla, Hazel in the early afternoon on 2022/11/18?\", \"23 minutes\"], [\"who did I talk to on 2022/11/18?\", \"Piper, Avery, Layla, Hazel\"], [\"Did I talk to Piper, Avery, Layla, Hazel on 2022/11/18?\", \"yes\"], [\"Did I talk to anyone on 2022/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/19\": {\"exercise\": {\"eid\": \"e19444\", \"logical_representation\": [\"2022/11/19\", \"biking\"], \"text_template_based\": \"I did biking on 2022/11/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19445\", \"logical_representation\": [\"2022/11/19\", \"lunch\", \"tacos\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had tacos for lunch with Benjamin, Jackson, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/11/19?\", \"Benjamin, Jackson, Willow, Avery\"], [\"what did I eat for lunch on 2022/11/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19446\", \"logical_representation\": [\"2022/11/19\", \"dinner\", \"pasta\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/11/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19447\", \"logical_representation\": [\"2022/11/19\", \"Eva\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early evening on 2022/11/19?\", \"37 minutes\"], [\"who did I talk to on 2022/11/19?\", \"Eva\"], [\"Did I talk to Eva on 2022/11/19?\", \"yes\"], [\"Did I talk to anyone on 2022/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/20\": {\"breakfast\": {\"eid\": \"e19448\", \"logical_representation\": [\"2022/11/20\", \"breakfast\", \"cereals\", \"Nevaeh, Piper, Lydia, Avery, Olivia, Eva, Claire, Hazel, Layla, Rylee, Kinsley, Nora\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19449\", \"logical_representation\": [\"2022/11/20\", \"dinner\", \"sushi\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/11/20?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2022/11/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19450\", \"logical_representation\": [\"2022/11/20\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/20?\", \"49 minutes\"], [\"what did I watch on tv on 2022/11/20?\", \"news\"], [\"Did I watch tv on 2022/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/21\": {\"exercise\": {\"eid\": \"e19451\", \"logical_representation\": [\"2022/11/21\", \"running\"], \"text_template_based\": \"I did running on 2022/11/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19452\", \"logical_representation\": [\"2022/11/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19453\", \"logical_representation\": [\"2022/11/21\", \"Piper\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Piper for 12 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2022/11/21?\", \"12 minutes\"], [\"who did I talk to on 2022/11/21?\", \"Piper\"], [\"Did I talk to Piper on 2022/11/21?\", \"yes\"], [\"Did I talk to anyone on 2022/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19454\", \"logical_representation\": [\"2022/11/21\", \"Avery, Claire\", \"in the morning\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Avery, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire in the morning on 2022/11/21?\", \"12 minutes\"], [\"who did I talk to on 2022/11/21?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2022/11/21?\", \"yes\"], [\"Did I talk to anyone on 2022/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19455\", \"logical_representation\": [\"2022/11/21\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/11/21?\", \"32 minutes\"], [\"what did I read on 2022/11/21?\", \"a book\"], [\"Did I read on 2022/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19456\", \"logical_representation\": [\"2022/11/21\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/21?\", \"48 minutes\"], [\"what did I watch on tv on 2022/11/21?\", \"a movie\"], [\"Did I watch tv on 2022/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/23\": {\"breakfast\": {\"eid\": \"e19460\", \"logical_representation\": [\"2022/11/23\", \"breakfast\", \"toast and cheese\", \"Nora, Avery, Rylee, Hazel, Layla, Claire, Olivia, Piper, Lydia, Eva, Kinsley\"], \"text_template_based\": \"I had breakfast with Nora, Avery, Rylee, Hazel, Layla, Claire, Olivia, Piper, Lydia, Eva, Kinsley. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/11/23?\", \"Nora, Avery, Rylee, Hazel, Layla, Claire, Olivia, Piper, Lydia, Eva, Kinsley\"], [\"what did I eat for breakfast on 2022/11/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19461\", \"logical_representation\": [\"2022/11/23\", \"lunch\", \"chinese food\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I had lunch with Benjamin, Avery, Willow. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/11/23?\", \"Benjamin, Avery, Willow\"], [\"what did I eat for lunch on 2022/11/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2022/11/24\": {\"breakfast\": {\"eid\": \"e19462\", \"logical_representation\": [\"2022/11/24\", \"breakfast\", \"cereals\", \"Kinsley, Nevaeh, Olivia, Claire, Hazel\"], \"text_template_based\": \"I had cereals for breakfast with Kinsley, Nevaeh, Olivia, Claire, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/11/24?\", \"Kinsley, Nevaeh, Olivia, Claire, Hazel\"], [\"what did I eat for breakfast on 2022/11/24\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19463\", \"logical_representation\": [\"2022/11/24\", \"lunch\", \"tacos\", \"Benjamin, Willow\"], \"text_template_based\": \"I had lunch with Benjamin, Willow. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/11/24?\", \"Benjamin, Willow\"], [\"what did I eat for lunch on 2022/11/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19464\", \"logical_representation\": [\"2022/11/24\", \"news\", \"50 minutes\"], \"text_template_based\": \"I watched news for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/24?\", \"50 minutes\"], [\"what did I watch on tv on 2022/11/24?\", \"news\"], [\"Did I watch tv on 2022/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/25\": {\"breakfast\": {\"eid\": \"e19465\", \"logical_representation\": [\"2022/11/25\", \"breakfast\", \"peanut-butter-jam\", \"Olivia, Nora, Piper, Hazel, Avery, Rylee\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Olivia, Nora, Piper, Hazel, Avery, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/11/25?\", \"Olivia, Nora, Piper, Hazel, Avery, Rylee\"], [\"what did I eat for breakfast on 2022/11/25\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19466\", \"logical_representation\": [\"2022/11/25\", \"lunch\", \"steak\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch with Emily, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/11/25?\", \"Emily, Carter\"], [\"what did I eat for lunch on 2022/11/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19467\", \"logical_representation\": [\"2022/11/25\", \"dinner\", \"steak\", \"Claire, Olivia\"], \"text_template_based\": \"I had dinner with Claire, Olivia. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/11/25?\", \"Claire, Olivia\"], [\"what did I eat for dinner on 2022/11/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19468\", \"logical_representation\": [\"2022/11/25\", \"Nevaeh, Kinsley, Eva\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Nevaeh, Kinsley, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Eva in the early afternoon on 2022/11/25?\", \"25 minutes\"], [\"who did I talk to on 2022/11/25?\", \"Nevaeh, Kinsley, Eva\"], [\"Did I talk to Nevaeh, Kinsley, Eva on 2022/11/25?\", \"yes\"], [\"Did I talk to anyone on 2022/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19469\", \"logical_representation\": [\"2022/11/25\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/25?\", \"42 minutes\"], [\"what did I watch on tv on 2022/11/25?\", \"a tv series\"], [\"Did I watch tv on 2022/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/26\": {\"exercise\": {\"eid\": \"e19470\", \"logical_representation\": [\"2022/11/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/11/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19471\", \"logical_representation\": [\"2022/11/26\", \"lunch\", \"a burger\", \"Piper, Hazel, Lydia, Avery, Kinsley\"], \"text_template_based\": \"I had a burger for lunch with Piper, Hazel, Lydia, Avery, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/11/26?\", \"Piper, Hazel, Lydia, Avery, Kinsley\"], [\"what did I eat for lunch on 2022/11/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19472\", \"logical_representation\": [\"2022/11/26\", \"Olivia, Claire\", \"late in the evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Olivia, Claire for 51 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire late in the evening on 2022/11/26?\", \"51 minutes\"], [\"who did I talk to on 2022/11/26?\", \"Olivia, Claire\"], [\"Did I talk to Olivia, Claire on 2022/11/26?\", \"yes\"], [\"Did I talk to anyone on 2022/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19473\", \"logical_representation\": [\"2022/11/26\", \"Claire, Piper\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Claire, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper late in the evening on 2022/11/26?\", \"28 minutes\"], [\"who did I talk to on 2022/11/26?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2022/11/26?\", \"yes\"], [\"Did I talk to anyone on 2022/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/28\": {\"breakfast\": {\"eid\": \"e19477\", \"logical_representation\": [\"2022/11/28\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/11/28?\", \"Kayden\"], [\"what did I eat for breakfast on 2022/11/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19478\", \"logical_representation\": [\"2022/11/28\", \"lunch\", \"steak\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/11/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19479\", \"logical_representation\": [\"2022/11/28\", \"dinner\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/11/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19480\", \"logical_representation\": [\"2022/11/28\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I watched a movie for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/28?\", \"43 minutes\"], [\"what did I watch on tv on 2022/11/28?\", \"a movie\"], [\"Did I watch tv on 2022/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/29\": {\"exercise\": {\"eid\": \"e19481\", \"logical_representation\": [\"2022/11/29\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/11/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/29?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19482\", \"logical_representation\": [\"2022/11/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Andrew. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/11/29?\", \"Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2022/11/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19483\", \"logical_representation\": [\"2022/11/29\", \"lunch\", \"fish and chips\", \"Avery\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/11/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19484\", \"logical_representation\": [\"2022/11/29\", \"Nora, Piper, Hazel\", \"in the late afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Hazel for 31 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Hazel in the late afternoon on 2022/11/29?\", \"31 minutes\"], [\"who did I talk to on 2022/11/29?\", \"Nora, Piper, Hazel\"], [\"Did I talk to Nora, Piper, Hazel on 2022/11/29?\", \"yes\"], [\"Did I talk to anyone on 2022/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/01\": {\"lunch\": {\"eid\": \"e19490\", \"logical_representation\": [\"2022/12/01\", \"lunch\", \"pasta\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had lunch with Jackson, Willow, Avery. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/12/01?\", \"Jackson, Willow, Avery\"], [\"what did I eat for lunch on 2022/12/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19491\", \"logical_representation\": [\"2022/12/01\", \"Piper\", \"in the early afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper for 43 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2022/12/01?\", \"43 minutes\"], [\"who did I talk to on 2022/12/01?\", \"Piper\"], [\"Did I talk to Piper on 2022/12/01?\", \"yes\"], [\"Did I talk to anyone on 2022/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/02\": {\"breakfast\": {\"eid\": \"e19492\", \"logical_representation\": [\"2022/12/02\", \"breakfast\", \"cereals\", \"Lydia, Rylee, Piper, Nevaeh, Piper\"], \"text_template_based\": \"I had breakfast with Lydia, Rylee, Piper, Nevaeh, Piper. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/12/02?\", \"Lydia, Rylee, Piper, Nevaeh, Piper\"], [\"what did I eat for breakfast on 2022/12/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19493\", \"logical_representation\": [\"2022/12/02\", \"Hazel, Kinsley\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Hazel, Kinsley for 35 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley in the early evening on 2022/12/02?\", \"35 minutes\"], [\"who did I talk to on 2022/12/02?\", \"Hazel, Kinsley\"], [\"Did I talk to Hazel, Kinsley on 2022/12/02?\", \"yes\"], [\"Did I talk to anyone on 2022/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19494\", \"logical_representation\": [\"2022/12/02\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/12/02?\", \"54 minutes\"], [\"what did I read on 2022/12/02?\", \"a book\"], [\"Did I read on 2022/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19495\", \"logical_representation\": [\"2022/12/02\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/02?\", \"23 minutes\"], [\"what did I watch on tv on 2022/12/02?\", \"a documentary\"], [\"Did I watch tv on 2022/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/03\": {\"breakfast\": {\"eid\": \"e19496\", \"logical_representation\": [\"2022/12/03\", \"breakfast\", \"pancakes\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/12/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19497\", \"logical_representation\": [\"2022/12/03\", \"lunch\", \"tacos\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/12/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19498\", \"logical_representation\": [\"2022/12/03\", \"dinner\", \"pasta\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/03\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19499\", \"logical_representation\": [\"2022/12/03\", \"Piper, Rylee, Nora, Claire\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee, Nora, Claire for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Nora, Claire in the early evening on 2022/12/03?\", \"39 minutes\"], [\"who did I talk to on 2022/12/03?\", \"Piper, Rylee, Nora, Claire\"], [\"Did I talk to Piper, Rylee, Nora, Claire on 2022/12/03?\", \"yes\"], [\"Did I talk to anyone on 2022/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19500\", \"logical_representation\": [\"2022/12/03\", \"a documentary\", \"24 minutes\"], \"text_template_based\": \"I watched a documentary for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/03?\", \"24 minutes\"], [\"what did I watch on tv on 2022/12/03?\", \"a documentary\"], [\"Did I watch tv on 2022/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/05\": {\"watch tv\": {\"eid\": \"e19504\", \"logical_representation\": [\"2022/12/05\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I watched a tv series for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/05?\", \"28 minutes\"], [\"what did I watch on tv on 2022/12/05?\", \"a tv series\"], [\"Did I watch tv on 2022/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/09\": {\"exercise\": {\"eid\": \"e19513\", \"logical_representation\": [\"2022/12/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/12/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19514\", \"logical_representation\": [\"2022/12/09\", \"a movie\", \"35 minutes\"], \"text_template_based\": \"I watched a movie for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/09?\", \"35 minutes\"], [\"what did I watch on tv on 2022/12/09?\", \"a movie\"], [\"Did I watch tv on 2022/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/10\": {\"exercise\": {\"eid\": \"e19515\", \"logical_representation\": [\"2022/12/10\", \"running\"], \"text_template_based\": \"I did running on 2022/12/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/10?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19516\", \"logical_representation\": [\"2022/12/10\", \"lunch\", \"fish and chips\", \"Olivia, Piper, Layla, Claire, Lydia, Piper, Nora, Eva, Nevaeh, Avery\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/12/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19517\", \"logical_representation\": [\"2022/12/10\", \"dinner\", \"indian food\", \"Nevaeh, Kinsley, Hazel, Avery, Piper, Lydia, Nora\"], \"text_template_based\": \"I had dinner with Nevaeh, Kinsley, Hazel, Avery, Piper, Lydia, Nora. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/12/10?\", \"Nevaeh, Kinsley, Hazel, Avery, Piper, Lydia, Nora\"], [\"what did I eat for dinner on 2022/12/10\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2022/12/11\": {\"exercise\": {\"eid\": \"e19518\", \"logical_representation\": [\"2022/12/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/12/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19519\", \"logical_representation\": [\"2022/12/11\", \"lunch\", \"pasta\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had pasta for lunch with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/12/11?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2022/12/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19520\", \"logical_representation\": [\"2022/12/11\", \"dinner\", \"a burger\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had dinner with Avery, Benjamin, Jackson. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/12/11?\", \"Avery, Benjamin, Jackson\"], [\"what did I eat for dinner on 2022/12/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19521\", \"logical_representation\": [\"2022/12/11\", \"Rylee, Avery\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery for 29 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery in the late afternoon on 2022/12/11?\", \"29 minutes\"], [\"who did I talk to on 2022/12/11?\", \"Rylee, Avery\"], [\"Did I talk to Rylee, Avery on 2022/12/11?\", \"yes\"], [\"Did I talk to anyone on 2022/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19522\", \"logical_representation\": [\"2022/12/11\", \"Lydia\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Lydia for 47 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2022/12/11?\", \"47 minutes\"], [\"who did I talk to on 2022/12/11?\", \"Lydia\"], [\"Did I talk to Lydia on 2022/12/11?\", \"yes\"], [\"Did I talk to anyone on 2022/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19523\", \"logical_representation\": [\"2022/12/11\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/12/11?\", \"8 minutes\"], [\"what did I read on 2022/12/11?\", \"news\"], [\"Did I read on 2022/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/13\": {\"exercise\": {\"eid\": \"e19529\", \"logical_representation\": [\"2022/12/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/12/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19530\", \"logical_representation\": [\"2022/12/13\", \"breakfast\", \"pancakes\", \"Avery, Piper, Piper, Kinsley, Eva, Layla, Claire, Olivia\"], \"text_template_based\": \"I had pancakes for breakfast with Avery, Piper, Piper, Kinsley, Eva, Layla, Claire, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/12/13?\", \"Avery, Piper, Piper, Kinsley, Eva, Layla, Claire, Olivia\"], [\"what did I eat for breakfast on 2022/12/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19531\", \"logical_representation\": [\"2022/12/13\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/12/13?\", \"7 minutes\"], [\"what did I read on 2022/12/13?\", \"social media\"], [\"Did I read on 2022/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/14\": {\"breakfast\": {\"eid\": \"e19532\", \"logical_representation\": [\"2022/12/14\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/12/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19533\", \"logical_representation\": [\"2022/12/14\", \"dinner\", \"pasta\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Carter, Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/12/14?\", \"Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2022/12/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19534\", \"logical_representation\": [\"2022/12/14\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/12/14?\", \"14 minutes\"], [\"what did I read on 2022/12/14?\", \"news\"], [\"Did I read on 2022/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19535\", \"logical_representation\": [\"2022/12/14\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/14?\", \"54 minutes\"], [\"what did I watch on tv on 2022/12/14?\", \"a documentary\"], [\"Did I watch tv on 2022/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/16\": {\"breakfast\": {\"eid\": \"e19540\", \"logical_representation\": [\"2022/12/16\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/12/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19541\", \"logical_representation\": [\"2022/12/16\", \"lunch\", \"a burger\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/12/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19542\", \"logical_representation\": [\"2022/12/16\", \"dinner\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19543\", \"logical_representation\": [\"2022/12/16\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/12/16?\", \"8 minutes\"], [\"what did I read on 2022/12/16?\", \"news\"], [\"Did I read on 2022/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/17\": {\"breakfast\": {\"eid\": \"e19544\", \"logical_representation\": [\"2022/12/17\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/12/17\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19545\", \"logical_representation\": [\"2022/12/17\", \"lunch\", \"tacos\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/12/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19546\", \"logical_representation\": [\"2022/12/17\", \"dinner\", \"fish and chips\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had dinner with Willow, Benjamin, Avery, Jackson. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/12/17?\", \"Willow, Benjamin, Avery, Jackson\"], [\"what did I eat for dinner on 2022/12/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19547\", \"logical_representation\": [\"2022/12/17\", \"Avery\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2022/12/17?\", \"20 minutes\"], [\"who did I talk to on 2022/12/17?\", \"Avery\"], [\"Did I talk to Avery on 2022/12/17?\", \"yes\"], [\"Did I talk to anyone on 2022/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19548\", \"logical_representation\": [\"2022/12/17\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/12/17?\", \"5 minutes\"], [\"what did I read on 2022/12/17?\", \"news\"], [\"Did I read on 2022/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/18\": {\"exercise\": {\"eid\": \"e19549\", \"logical_representation\": [\"2022/12/18\", \"biking\"], \"text_template_based\": \"I did biking on 2022/12/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/18?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19550\", \"logical_representation\": [\"2022/12/18\", \"lunch\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/12/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19551\", \"logical_representation\": [\"2022/12/18\", \"Rylee, Nora, Lydia\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Rylee, Nora, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Lydia late in the evening on 2022/12/18?\", \"38 minutes\"], [\"who did I talk to on 2022/12/18?\", \"Rylee, Nora, Lydia\"], [\"Did I talk to Rylee, Nora, Lydia on 2022/12/18?\", \"yes\"], [\"Did I talk to anyone on 2022/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19552\", \"logical_representation\": [\"2022/12/18\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/12/18?\", \"53 minutes\"], [\"what did I read on 2022/12/18?\", \"social media\"], [\"Did I read on 2022/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19553\", \"logical_representation\": [\"2022/12/18\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I watched a documentary for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/18?\", \"10 minutes\"], [\"what did I watch on tv on 2022/12/18?\", \"a documentary\"], [\"Did I watch tv on 2022/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/19\": {\"exercise\": {\"eid\": \"e19554\", \"logical_representation\": [\"2022/12/19\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/12/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/19?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19555\", \"logical_representation\": [\"2022/12/19\", \"lunch\", \"chinese food\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/12/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19556\", \"logical_representation\": [\"2022/12/19\", \"Eva, Olivia\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Eva, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia late in the evening on 2022/12/19?\", \"20 minutes\"], [\"who did I talk to on 2022/12/19?\", \"Eva, Olivia\"], [\"Did I talk to Eva, Olivia on 2022/12/19?\", \"yes\"], [\"Did I talk to anyone on 2022/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19557\", \"logical_representation\": [\"2022/12/19\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/12/19?\", \"37 minutes\"], [\"what did I read on 2022/12/19?\", \"social media\"], [\"Did I read on 2022/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/20\": {\"lunch\": {\"eid\": \"e19558\", \"logical_representation\": [\"2022/12/20\", \"lunch\", \"tacos\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I had lunch with Willow, Benjamin, Avery. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/12/20?\", \"Willow, Benjamin, Avery\"], [\"what did I eat for lunch on 2022/12/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19559\", \"logical_representation\": [\"2022/12/20\", \"Lydia, Kinsley\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley for 37 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley in the early afternoon on 2022/12/20?\", \"37 minutes\"], [\"who did I talk to on 2022/12/20?\", \"Lydia, Kinsley\"], [\"Did I talk to Lydia, Kinsley on 2022/12/20?\", \"yes\"], [\"Did I talk to anyone on 2022/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/21\": {\"dinner\": {\"eid\": \"e19560\", \"logical_representation\": [\"2022/12/21\", \"dinner\", \"tacos\", \"Emily, Carter\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19561\", \"logical_representation\": [\"2022/12/21\", \"Avery, Claire\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Avery, Claire for 39 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire in the late afternoon on 2022/12/21?\", \"39 minutes\"], [\"who did I talk to on 2022/12/21?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2022/12/21?\", \"yes\"], [\"Did I talk to anyone on 2022/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/22\": {\"read\": {\"eid\": \"e19562\", \"logical_representation\": [\"2022/12/22\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/12/22?\", \"52 minutes\"], [\"what did I read on 2022/12/22?\", \"news\"], [\"Did I read on 2022/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19563\", \"logical_representation\": [\"2022/12/22\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I watched a documentary for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/22?\", \"51 minutes\"], [\"what did I watch on tv on 2022/12/22?\", \"a documentary\"], [\"Did I watch tv on 2022/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/23\": {\"exercise\": {\"eid\": \"e19564\", \"logical_representation\": [\"2022/12/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/12/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19565\", \"logical_representation\": [\"2022/12/23\", \"lunch\", \"indian food\", \"Avery\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/12/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19566\", \"logical_representation\": [\"2022/12/23\", \"dinner\", \"pasta\", \"Emily, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/12/23?\", \"Emily, Andrew\"], [\"what did I eat for dinner on 2022/12/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19567\", \"logical_representation\": [\"2022/12/23\", \"Lydia, Claire\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Lydia, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire in the late afternoon on 2022/12/23?\", \"42 minutes\"], [\"who did I talk to on 2022/12/23?\", \"Lydia, Claire\"], [\"Did I talk to Lydia, Claire on 2022/12/23?\", \"yes\"], [\"Did I talk to anyone on 2022/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19568\", \"logical_representation\": [\"2022/12/23\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/12/23?\", \"7 minutes\"], [\"what did I read on 2022/12/23?\", \"a book\"], [\"Did I read on 2022/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/24\": {\"exercise\": {\"eid\": \"e19569\", \"logical_representation\": [\"2022/12/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/12/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19570\", \"logical_representation\": [\"2022/12/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/12/24?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2022/12/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e19571\", \"logical_representation\": [\"2022/12/24\", \"lunch\", \"tacos\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had tacos for lunch with Emily, Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/12/24?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2022/12/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19572\", \"logical_representation\": [\"2022/12/24\", \"dinner\", \"tacos\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19573\", \"logical_representation\": [\"2022/12/24\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/12/24?\", \"33 minutes\"], [\"what did I read on 2022/12/24?\", \"news\"], [\"Did I read on 2022/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19574\", \"logical_representation\": [\"2022/12/24\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/24?\", \"8 minutes\"], [\"what did I watch on tv on 2022/12/24?\", \"news\"], [\"Did I watch tv on 2022/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/25\": {\"lunch\": {\"eid\": \"e19575\", \"logical_representation\": [\"2022/12/25\", \"lunch\", \"a burger\", \"Avery, Rylee, Nora, Piper, Olivia, Lydia, Eva, Layla, Piper, Nevaeh, Kinsley\"], \"text_template_based\": \"I had a burger for lunch with Avery, Rylee, Nora, Piper, Olivia, Lydia, Eva, Layla, Piper, Nevaeh, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/12/25?\", \"Avery, Rylee, Nora, Piper, Olivia, Lydia, Eva, Layla, Piper, Nevaeh, Kinsley\"], [\"what did I eat for lunch on 2022/12/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e19576\", \"logical_representation\": [\"2022/12/25\", \"dinner\", \"pasta\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19577\", \"logical_representation\": [\"2022/12/25\", \"Claire, Lydia\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Claire, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia during lunch hours on 2022/12/25?\", \"42 minutes\"], [\"who did I talk to on 2022/12/25?\", \"Claire, Lydia\"], [\"Did I talk to Claire, Lydia on 2022/12/25?\", \"yes\"], [\"Did I talk to anyone on 2022/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"chat1\": {\"eid\": \"e19578\", \"logical_representation\": [\"2022/12/25\", \"Nora\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2022/12/25?\", \"41 minutes\"], [\"who did I talk to on 2022/12/25?\", \"Nora\"], [\"Did I talk to Nora on 2022/12/25?\", \"yes\"], [\"Did I talk to anyone on 2022/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/26\": {\"breakfast\": {\"eid\": \"e19579\", \"logical_representation\": [\"2022/12/26\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Olivia, Nora\"], \"text_template_based\": \"I had breakfast with Lydia, Olivia, Nora. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/12/26?\", \"Lydia, Olivia, Nora\"], [\"what did I eat for breakfast on 2022/12/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e19580\", \"logical_representation\": [\"2022/12/26\", \"Layla, Rylee\", \"in the early evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Layla, Rylee for 21 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee in the early evening on 2022/12/26?\", \"21 minutes\"], [\"who did I talk to on 2022/12/26?\", \"Layla, Rylee\"], [\"Did I talk to Layla, Rylee on 2022/12/26?\", \"yes\"], [\"Did I talk to anyone on 2022/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19581\", \"logical_representation\": [\"2022/12/26\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/12/26?\", \"6 minutes\"], [\"what did I read on 2022/12/26?\", \"social media\"], [\"Did I read on 2022/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19582\", \"logical_representation\": [\"2022/12/26\", \"a movie\", \"38 minutes\"], \"text_template_based\": \"I watched a movie for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/26?\", \"38 minutes\"], [\"what did I watch on tv on 2022/12/26?\", \"a movie\"], [\"Did I watch tv on 2022/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/27\": {\"dinner\": {\"eid\": \"e19583\", \"logical_representation\": [\"2022/12/27\", \"dinner\", \"tacos\", \"Eva, Lydia, Piper, Hazel, Rylee, Layla, Olivia, Piper, Nevaeh, Avery, Claire, Kinsley, Nora\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e19584\", \"logical_representation\": [\"2022/12/27\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/12/27?\", \"36 minutes\"], [\"what did I read on 2022/12/27?\", \"a book\"], [\"Did I read on 2022/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/31\": {\"exercise\": {\"eid\": \"e19600\", \"logical_representation\": [\"2022/12/31\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/12/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/31?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e19601\", \"logical_representation\": [\"2022/12/31\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/12/31\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e19602\", \"logical_representation\": [\"2022/12/31\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/12/31?\", \"49 minutes\"], [\"what did I read on 2022/12/31?\", \"social media\"], [\"Did I read on 2022/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e19603\", \"logical_representation\": [\"2022/12/31\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I watched a documentary for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/31?\", \"43 minutes\"], [\"what did I watch on tv on 2022/12/31?\", \"a documentary\"], [\"Did I watch tv on 2022/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}}"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/travel-log.csv",
    "content": "eid,start_date,end_date,city,people\ne18113,2022/01/02,2022/01/09,\"Dubai, UAE\",\"Olivia, Nevaeh, Hazel\"\ne16597,2021/02/18,2021/02/22,\"Rio, Brazil\",\"Emily, Carter, Kayden\"\ne15113,2020/02/07,2020/02/13,\"New Delhi, India\",\"Carter, Andrew, Emily\"\ne13629,2019/03/10,2019/03/24,\"Shanghai, China\",\"Andrew, Kayden, Carter\"\ne12155,2018/02/27,2018/03/12,\"Shanghai, China\",Avery\ne10647,2017/05/12,2017/05/18,\"Bangkok, Thailand\",Andrew\ne9088,2016/04/12,2016/04/20,\"Rio, Brazil\",\"Benjamin, Jackson, Willow\"\ne7581,2015/04/28,2015/05/11,\"Seoul, South Korea\",Carter\ne6043,2014/01/13,2014/01/23,\"Bangkok, Thailand\",Piper\ne4583,2013/01/20,2013/01/27,\"Bangkok, Thailand\",\"Carter, Andrew\"\ne3045,2012/05/02,2012/05/17,\"Sydney, Australia\",Piper\ne1514,2011/02/14,2011/02/27,\"Shanghai, China\",\"Kayden, Emily\"\ne1,2010/02/12,2010/02/18,\"Philadelphia, US\",\"Carter, Kayden\"\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/travel_dining-log.csv",
    "content": "eid,start_date,end_date,city,dining_date,food_type,food_location,place_visit_date,place,people,action,emotion\ne7,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/13,Chinese food,High Street Philly,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne8,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/15,Chinese food,High Street Philly,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne9,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/16,street food,Lunch Street,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne10,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/17,Japanese food,High Street Philly,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne11,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/18,Japanese food,Wood Street Pizza,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne1515,2011/02/14,2011/02/27,\"Shanghai, China\",2011/02/15,Italian food,Fangbang Xi Lu,,,,,\ne1516,2011/02/14,2011/02/27,\"Shanghai, China\",2011/02/16,Indian food,Fangbang Xi Lu,,,,,\ne1517,2011/02/14,2011/02/27,\"Shanghai, China\",2011/02/17,Italian food,South Bund Fabric Market,,,,,\ne1518,2011/02/14,2011/02/27,\"Shanghai, China\",2011/02/18,Italian food,Fangbang Xi Lu,,,,,\ne1519,2011/02/14,2011/02/27,\"Shanghai, China\",2011/02/19,street food,South Bund Fabric Market,,,,,\ne1520,2011/02/14,2011/02/27,\"Shanghai, China\",2011/02/20,Japanese food,Yuyuan Lu junction,,,,,\ne1521,2011/02/14,2011/02/27,\"Shanghai, China\",2011/02/22,Indian food,Wanhangdu Lu junction,,,,,\ne1522,2011/02/14,2011/02/27,\"Shanghai, China\",2011/02/23,Chinese food,South Bund Fabric Market,,,,,\ne1523,2011/02/14,2011/02/27,\"Shanghai, China\",2011/02/24,local food,South Bund Fabric Market,,,,,\ne1524,2011/02/14,2011/02/27,\"Shanghai, China\",2011/02/26,Indian food,Yuyuan Lu junction,,,,,\ne1525,2011/02/14,2011/02/27,\"Shanghai, China\",2011/02/27,Chinese food,Fangbang Xi Lu,,,,,\ne3049,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/03,Japanese food,Love Crepe,2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne3050,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/05,Italian food,Bombay Street Kitchen,2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne3051,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/06,local food,Bombay Street Kitchen,2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne3052,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/07,street food,Bombay Street Kitchen,2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne3053,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/09,Japanese food,Bombay Street Kitchen,2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne3054,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/10,Chinese food,Bombay Street Kitchen,2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne3055,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/11,Japanese food,Love Crepe,2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne3056,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/12,local food,Thievery Chicken & Charcoal,2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne3057,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/13,Indian food,Bombay Street Kitchen,2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne3058,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/14,street food,Love Crepe,2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne3059,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/15,Italian food,Thievery Chicken & Charcoal,2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne3060,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/16,Italian food,Bombay Street Kitchen,2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne3061,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/17,Japanese food,Bombay Street Kitchen,2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne4589,2013/01/20,2013/01/27,\"Bangkok, Thailand\",2013/01/21,Chinese food,Victory Monument,2013/01/25,Wat Traimit,\"Carter, Andrew\",took a group photo,impressed\ne4590,2013/01/20,2013/01/27,\"Bangkok, Thailand\",2013/01/22,Italian food,Victory Monument,2013/01/25,Wat Traimit,\"Carter, Andrew\",took a group photo,impressed\ne4591,2013/01/20,2013/01/27,\"Bangkok, Thailand\",2013/01/23,Japanese food,Ratchawat Market,2013/01/25,Wat Traimit,\"Carter, Andrew\",took a group photo,impressed\ne4592,2013/01/20,2013/01/27,\"Bangkok, Thailand\",2013/01/25,Indian food,Ratchawat Market,2013/01/25,Wat Traimit,\"Carter, Andrew\",took a group photo,impressed\ne4593,2013/01/20,2013/01/27,\"Bangkok, Thailand\",2013/01/26,Indian food,Victory Monument,2013/01/25,Wat Traimit,\"Carter, Andrew\",took a group photo,impressed\ne4594,2013/01/20,2013/01/27,\"Bangkok, Thailand\",2013/01/27,Chinese food,Ratchawat Market,2013/01/25,Wat Traimit,\"Carter, Andrew\",took a group photo,impressed\ne6049,2014/01/13,2014/01/23,\"Bangkok, Thailand\",2014/01/14,Italian food,Ratchawat Market,2014/01/18,Grand Palace,Piper,bought some souvenirs,special\ne6050,2014/01/13,2014/01/23,\"Bangkok, Thailand\",2014/01/15,local food,Ratchawat Market,2014/01/18,Grand Palace,Piper,bought some souvenirs,special\ne6051,2014/01/13,2014/01/23,\"Bangkok, Thailand\",2014/01/17,Japanese food,Ratchawat Market,2014/01/18,Grand Palace,Piper,bought some souvenirs,special\ne6052,2014/01/13,2014/01/23,\"Bangkok, Thailand\",2014/01/18,Italian food,Yaowarat,2014/01/18,Grand Palace,Piper,bought some souvenirs,special\ne6053,2014/01/13,2014/01/23,\"Bangkok, Thailand\",2014/01/20,Italian food,Ratchawat Market,2014/01/18,Grand Palace,Piper,bought some souvenirs,special\ne6054,2014/01/13,2014/01/23,\"Bangkok, Thailand\",2014/01/22,Chinese food,Ratchawat Market,2014/01/18,Grand Palace,Piper,bought some souvenirs,special\ne6055,2014/01/13,2014/01/23,\"Bangkok, Thailand\",2014/01/23,Chinese food,Yaowarat,2014/01/18,Grand Palace,Piper,bought some souvenirs,special\ne7585,2015/04/28,2015/05/11,\"Seoul, South Korea\",2015/04/30,Chinese food,Seoul Bamdokkaebi Night Market,2015/05/01,N Seoul Tower,Carter,recorded some videos,special\ne7586,2015/04/28,2015/05/11,\"Seoul, South Korea\",2015/05/01,street food,Common Ground,2015/05/01,N Seoul Tower,Carter,recorded some videos,special\ne7587,2015/04/28,2015/05/11,\"Seoul, South Korea\",2015/05/02,Indian food,Seoul Bamdokkaebi Night Market,2015/05/01,N Seoul Tower,Carter,recorded some videos,special\ne7588,2015/04/28,2015/05/11,\"Seoul, South Korea\",2015/05/04,local food,Common Ground,2015/05/01,N Seoul Tower,Carter,recorded some videos,special\ne7589,2015/04/28,2015/05/11,\"Seoul, South Korea\",2015/05/06,local food,Seoul Bamdokkaebi Night Market,2015/05/01,N Seoul Tower,Carter,recorded some videos,special\ne7590,2015/04/28,2015/05/11,\"Seoul, South Korea\",2015/05/07,Italian food,Myeongdong Street Food Alley,2015/05/01,N Seoul Tower,Carter,recorded some videos,special\ne7591,2015/04/28,2015/05/11,\"Seoul, South Korea\",2015/05/08,local food,Seoul Bamdokkaebi Night Market,2015/05/01,N Seoul Tower,Carter,recorded some videos,special\ne7592,2015/04/28,2015/05/11,\"Seoul, South Korea\",2015/05/10,Indian food,Common Ground,2015/05/01,N Seoul Tower,Carter,recorded some videos,special\ne7593,2015/04/28,2015/05/11,\"Seoul, South Korea\",2015/05/11,Italian food,Myeongdong Street Food Alley,2015/05/01,N Seoul Tower,Carter,recorded some videos,special\ne9094,2016/04/12,2016/04/20,\"Rio, Brazil\",2016/04/13,Japanese food,Bolinho de bacalhau,2016/04/17,Carnaval,\"Benjamin, Jackson, Willow\",took a group photo,special\ne9095,2016/04/12,2016/04/20,\"Rio, Brazil\",2016/04/14,Italian food,Tapioca,2016/04/17,Carnaval,\"Benjamin, Jackson, Willow\",took a group photo,special\ne9096,2016/04/12,2016/04/20,\"Rio, Brazil\",2016/04/15,Japanese food,Bolinho de bacalhau,2016/04/17,Carnaval,\"Benjamin, Jackson, Willow\",took a group photo,special\ne9097,2016/04/12,2016/04/20,\"Rio, Brazil\",2016/04/16,Japanese food,Bolinho de bacalhau,2016/04/17,Carnaval,\"Benjamin, Jackson, Willow\",took a group photo,special\ne9098,2016/04/12,2016/04/20,\"Rio, Brazil\",2016/04/17,Japanese food,Tapioca,2016/04/17,Carnaval,\"Benjamin, Jackson, Willow\",took a group photo,special\ne9099,2016/04/12,2016/04/20,\"Rio, Brazil\",2016/04/18,Italian food,Pão de queijo,2016/04/17,Carnaval,\"Benjamin, Jackson, Willow\",took a group photo,special\ne9100,2016/04/12,2016/04/20,\"Rio, Brazil\",2016/04/19,Chinese food,Bolinho de bacalhau,2016/04/17,Carnaval,\"Benjamin, Jackson, Willow\",took a group photo,special\ne9101,2016/04/12,2016/04/20,\"Rio, Brazil\",2016/04/20,Indian food,Pão de queijo,2016/04/17,Carnaval,\"Benjamin, Jackson, Willow\",took a group photo,special\ne10653,2017/05/12,2017/05/18,\"Bangkok, Thailand\",2017/05/13,Indian food,Yaowarat,2017/05/17,Grand Palace,Andrew,bought some souvenirs,happy\ne10654,2017/05/12,2017/05/18,\"Bangkok, Thailand\",2017/05/14,Chinese food,Yaowarat,2017/05/17,Grand Palace,Andrew,bought some souvenirs,happy\ne10655,2017/05/12,2017/05/18,\"Bangkok, Thailand\",2017/05/17,Italian food,Ratchawat Market,2017/05/17,Grand Palace,Andrew,bought some souvenirs,happy\ne10656,2017/05/12,2017/05/18,\"Bangkok, Thailand\",2017/05/18,Italian food,Yaowarat,2017/05/17,Grand Palace,Andrew,bought some souvenirs,happy\ne12156,2018/02/27,2018/03/12,\"Shanghai, China\",2018/02/28,Chinese food,Yuyuan Lu junction,,,,,\ne12157,2018/02/27,2018/03/12,\"Shanghai, China\",2018/03/01,Italian food,Wanhangdu Lu junction,,,,,\ne12158,2018/02/27,2018/03/12,\"Shanghai, China\",2018/03/03,Japanese food,Fangbang Xi Lu,,,,,\ne12159,2018/02/27,2018/03/12,\"Shanghai, China\",2018/03/04,Italian food,Wanhangdu Lu junction,,,,,\ne12160,2018/02/27,2018/03/12,\"Shanghai, China\",2018/03/05,street food,South Bund Fabric Market,,,,,\ne12161,2018/02/27,2018/03/12,\"Shanghai, China\",2018/03/08,local food,South Bund Fabric Market,,,,,\ne12162,2018/02/27,2018/03/12,\"Shanghai, China\",2018/03/09,local food,Fangbang Xi Lu,,,,,\ne12163,2018/02/27,2018/03/12,\"Shanghai, China\",2018/03/10,Japanese food,Fangbang Xi Lu,,,,,\ne12164,2018/02/27,2018/03/12,\"Shanghai, China\",2018/03/11,Indian food,Fangbang Xi Lu,,,,,\ne12165,2018/02/27,2018/03/12,\"Shanghai, China\",2018/03/12,local food,South Bund Fabric Market,,,,,\ne13630,2019/03/10,2019/03/24,\"Shanghai, China\",2019/03/12,Japanese food,Wanhangdu Lu junction,,,,,\ne13631,2019/03/10,2019/03/24,\"Shanghai, China\",2019/03/13,Chinese food,South Bund Fabric Market,,,,,\ne13632,2019/03/10,2019/03/24,\"Shanghai, China\",2019/03/15,Italian food,Fangbang Xi Lu,,,,,\ne13633,2019/03/10,2019/03/24,\"Shanghai, China\",2019/03/17,street food,Yuyuan Lu junction,,,,,\ne13634,2019/03/10,2019/03/24,\"Shanghai, China\",2019/03/19,Japanese food,South Bund Fabric Market,,,,,\ne13635,2019/03/10,2019/03/24,\"Shanghai, China\",2019/03/20,local food,Fangbang Xi Lu,,,,,\ne13636,2019/03/10,2019/03/24,\"Shanghai, China\",2019/03/21,Italian food,South Bund Fabric Market,,,,,\ne13637,2019/03/10,2019/03/24,\"Shanghai, China\",2019/03/22,street food,Wanhangdu Lu junction,,,,,\ne13638,2019/03/10,2019/03/24,\"Shanghai, China\",2019/03/23,Italian food,Fangbang Xi Lu,,,,,\ne13639,2019/03/10,2019/03/24,\"Shanghai, China\",2019/03/24,Italian food,Wanhangdu Lu junction,,,,,\ne15119,2020/02/07,2020/02/13,\"New Delhi, India\",2020/02/08,Indian food,Connaught Place,2020/02/12,Lodi Gardens,\"Carter, Andrew, Emily\",recorded some videos,happy\ne15120,2020/02/07,2020/02/13,\"New Delhi, India\",2020/02/09,local food,Moolchand,2020/02/12,Lodi Gardens,\"Carter, Andrew, Emily\",recorded some videos,happy\ne15121,2020/02/07,2020/02/13,\"New Delhi, India\",2020/02/11,Italian food,Chawri Bazar,2020/02/12,Lodi Gardens,\"Carter, Andrew, Emily\",recorded some videos,happy\ne15122,2020/02/07,2020/02/13,\"New Delhi, India\",2020/02/12,street food,Chawri Bazar,2020/02/12,Lodi Gardens,\"Carter, Andrew, Emily\",recorded some videos,happy\ne16603,2021/02/18,2021/02/22,\"Rio, Brazil\",2021/02/19,Chinese food,Bolinho de bacalhau,2021/02/23,Carnaval,\"Emily, Carter, Kayden\",took a group photo,impressed\ne16604,2021/02/18,2021/02/22,\"Rio, Brazil\",2021/02/20,Indian food,Tapioca,2021/02/23,Carnaval,\"Emily, Carter, Kayden\",took a group photo,impressed\ne16605,2021/02/18,2021/02/22,\"Rio, Brazil\",2021/02/21,Italian food,Tapioca,2021/02/23,Carnaval,\"Emily, Carter, Kayden\",took a group photo,impressed\ne16606,2021/02/18,2021/02/22,\"Rio, Brazil\",2021/02/22,local food,Bolinho de bacalhau,2021/02/23,Carnaval,\"Emily, Carter, Kayden\",took a group photo,impressed\ne18117,2022/01/02,2022/01/09,\"Dubai, UAE\",2022/01/03,Italian food,Falafel Alzaeem,2022/01/05,Dubai Aquarium & Underwater Zoo,\"Olivia, Nevaeh, Hazel\",took a group photo,special\ne18118,2022/01/02,2022/01/09,\"Dubai, UAE\",2022/01/04,Indian food,Falafel Alzaeem,2022/01/05,Dubai Aquarium & Underwater Zoo,\"Olivia, Nevaeh, Hazel\",took a group photo,special\ne18119,2022/01/02,2022/01/09,\"Dubai, UAE\",2022/01/06,Italian food,Falafel Alzaeem,2022/01/05,Dubai Aquarium & Underwater Zoo,\"Olivia, Nevaeh, Hazel\",took a group photo,special\ne18120,2022/01/02,2022/01/09,\"Dubai, UAE\",2022/01/07,Chinese food,Hor Al Anz Bakery,2022/01/05,Dubai Aquarium & Underwater Zoo,\"Olivia, Nevaeh, Hazel\",took a group photo,special\ne18121,2022/01/02,2022/01/09,\"Dubai, UAE\",2022/01/08,Italian food,Sind Punjab,2022/01/05,Dubai Aquarium & Underwater Zoo,\"Olivia, Nevaeh, Hazel\",took a group photo,special\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/travel_places_visited-log.csv",
    "content": "eid,start_date,end_date,city,place_visit_date,place,people,action,emotion\ne2,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/13,Liberty Bell,\"Carter, Kayden\",took a group photo,impressed\ne3,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/14,Philadelphia Museum of Art,\"Carter, Kayden\",recorded some videos,happy\ne4,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/15,Ipanema,\"Carter, Kayden\",bought some souvenirs,happy\ne5,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/16,Carnaval,\"Carter, Kayden\",took a selfie,impressed\ne6,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne3046,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/03,Sydney Opera House,Piper,bought some souvenirs,happy\ne3047,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/04,Sydney Harbour Bridge,Piper,bought some souvenirs,impressed\ne3048,2012/05/02,2012/05/17,\"Sydney, Australia\",2012/05/05,Bondi Beach,Piper,recorded some videos,impressed\ne4584,2013/01/20,2013/01/27,\"Bangkok, Thailand\",2013/01/21,Grand Palace,\"Carter, Andrew\",recorded some videos,special\ne4585,2013/01/20,2013/01/27,\"Bangkok, Thailand\",2013/01/22,Wat Arun,\"Carter, Andrew\",took a group photo,special\ne4586,2013/01/20,2013/01/27,\"Bangkok, Thailand\",2013/01/23,National Museum & Wang Na Palace,\"Carter, Andrew\",bought some souvenirs,special\ne4587,2013/01/20,2013/01/27,\"Bangkok, Thailand\",2013/01/24,Wat Suthat,\"Carter, Andrew\",took a selfie,impressed\ne4588,2013/01/20,2013/01/27,\"Bangkok, Thailand\",2013/01/25,Wat Traimit,\"Carter, Andrew\",took a group photo,impressed\ne6044,2014/01/13,2014/01/23,\"Bangkok, Thailand\",2014/01/14,National Museum & Wang Na Palace,Piper,took a group photo,special\ne6045,2014/01/13,2014/01/23,\"Bangkok, Thailand\",2014/01/15,Wat Arun,Piper,took a group photo,special\ne6046,2014/01/13,2014/01/23,\"Bangkok, Thailand\",2014/01/16,Wat Suthat,Piper,took a selfie,special\ne6047,2014/01/13,2014/01/23,\"Bangkok, Thailand\",2014/01/17,Wat Traimit,Piper,took a group photo,impressed\ne6048,2014/01/13,2014/01/23,\"Bangkok, Thailand\",2014/01/18,Grand Palace,Piper,bought some souvenirs,special\ne7582,2015/04/28,2015/05/11,\"Seoul, South Korea\",2015/04/29,National Museum Of Korea,Carter,took a selfie,impressed\ne7583,2015/04/28,2015/05/11,\"Seoul, South Korea\",2015/04/30,Lotte World Tower,Carter,recorded some videos,happy\ne7584,2015/04/28,2015/05/11,\"Seoul, South Korea\",2015/05/01,N Seoul Tower,Carter,recorded some videos,special\ne9089,2016/04/12,2016/04/20,\"Rio, Brazil\",2016/04/13,Copacabana,\"Benjamin, Jackson, Willow\",bought some souvenirs,impressed\ne9090,2016/04/12,2016/04/20,\"Rio, Brazil\",2016/04/14,Cristo Redentor,\"Benjamin, Jackson, Willow\",took a selfie,special\ne9091,2016/04/12,2016/04/20,\"Rio, Brazil\",2016/04/15,Sugarloaf,\"Benjamin, Jackson, Willow\",took a group photo,special\ne9092,2016/04/12,2016/04/20,\"Rio, Brazil\",2016/04/16,Ipanema,\"Benjamin, Jackson, Willow\",took a selfie,impressed\ne9093,2016/04/12,2016/04/20,\"Rio, Brazil\",2016/04/17,Carnaval,\"Benjamin, Jackson, Willow\",took a group photo,special\ne10648,2017/05/12,2017/05/18,\"Bangkok, Thailand\",2017/05/13,National Museum & Wang Na Palace,Andrew,took a group photo,impressed\ne10649,2017/05/12,2017/05/18,\"Bangkok, Thailand\",2017/05/14,Wat Suthat,Andrew,took a selfie,happy\ne10650,2017/05/12,2017/05/18,\"Bangkok, Thailand\",2017/05/15,Wat Traimit,Andrew,took a group photo,impressed\ne10651,2017/05/12,2017/05/18,\"Bangkok, Thailand\",2017/05/16,Wat Arun,Andrew,took a selfie,happy\ne10652,2017/05/12,2017/05/18,\"Bangkok, Thailand\",2017/05/17,Grand Palace,Andrew,bought some souvenirs,happy\ne15114,2020/02/07,2020/02/13,\"New Delhi, India\",2020/02/08,Gurudwara Bangla Sahib,\"Carter, Andrew, Emily\",took a group photo,special\ne15115,2020/02/07,2020/02/13,\"New Delhi, India\",2020/02/09,The Lotus Temple,\"Carter, Andrew, Emily\",took a selfie,happy\ne15116,2020/02/07,2020/02/13,\"New Delhi, India\",2020/02/10,The Red Fort,\"Carter, Andrew, Emily\",took a group photo,special\ne15117,2020/02/07,2020/02/13,\"New Delhi, India\",2020/02/11,Qutub Minar,\"Carter, Andrew, Emily\",recorded some videos,impressed\ne15118,2020/02/07,2020/02/13,\"New Delhi, India\",2020/02/12,Lodi Gardens,\"Carter, Andrew, Emily\",recorded some videos,happy\ne16598,2021/02/18,2021/02/22,\"Rio, Brazil\",2021/02/19,Ipanema,\"Emily, Carter, Kayden\",took a group photo,happy\ne16599,2021/02/18,2021/02/22,\"Rio, Brazil\",2021/02/20,Sugarloaf,\"Emily, Carter, Kayden\",bought some souvenirs,special\ne16600,2021/02/18,2021/02/22,\"Rio, Brazil\",2021/02/21,Copacabana,\"Emily, Carter, Kayden\",recorded some videos,impressed\ne16601,2021/02/18,2021/02/22,\"Rio, Brazil\",2021/02/22,Cristo Redentor,\"Emily, Carter, Kayden\",took a selfie,happy\ne16602,2021/02/18,2021/02/22,\"Rio, Brazil\",2021/02/23,Carnaval,\"Emily, Carter, Kayden\",took a group photo,impressed\ne18114,2022/01/02,2022/01/09,\"Dubai, UAE\",2022/01/03,Miracle Garden,\"Olivia, Nevaeh, Hazel\",recorded some videos,impressed\ne18115,2022/01/02,2022/01/09,\"Dubai, UAE\",2022/01/04,Burj Khalifa,\"Olivia, Nevaeh, Hazel\",took a group photo,special\ne18116,2022/01/02,2022/01/09,\"Dubai, UAE\",2022/01/05,Dubai Aquarium & Underwater Zoo,\"Olivia, Nevaeh, Hazel\",took a group photo,special\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/views_idx.csv",
    "content": "tablename,embedding\nannual_medical_care_log,\"[0.018762968480587006, 0.03539874032139778, 0.007465643342584372, -0.027189940214157104, -0.02877170220017433, 0.008713326416909695, 0.0007503994274884462, -0.03070799633860588, -0.016881216317415237, -0.010751890018582344, 0.013615423813462257, 0.011556406505405903, -0.0343896858394146, -0.005253221839666367, 0.008147437125444412, 0.02174922451376915, 0.031607966870069504, -0.014290399849414825, 0.0026504737325012684, -0.0394895039498806, -0.013349524699151516, 0.0038078189827501774, -0.027639925479888916, 0.020617447793483734, -0.00886332057416439, 0.02646723948419094, -0.005641844589263201, -0.01966293528676033, -0.022458290681242943, -0.011024607345461845, 0.011726855300366879, -0.009074676781892776, -0.001028656493872404, -0.04838009551167488, -0.006644081324338913, 0.006204324308782816, 0.0026947904843837023, -0.0062179602682590485, 0.051434531807899475, -0.010172365233302116, 0.012231382541358471, 0.0343896858394146, 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-0.0028175131883472204, 0.020290186628699303, -0.016690313816070557, -0.005536166485399008, 0.0014010864542797208, -0.00322318053804338, 0.003691914025694132, 0.015817617997527122, 0.016199423000216484, 0.04101672023534775, 0.004735058639198542, 0.03043527901172638, 0.020726533606648445, -0.007124746218323708, -0.014481302350759506, 0.044943854212760925, -0.033816978335380554, -0.002139128278940916, -0.00867923628538847, -0.0065588573925197124, 0.013813144527375698, -0.015776710584759712, 0.018872054293751717, -0.02179013378918171, -0.02419004775583744, 0.0436348095536232, 0.0022584423422813416, -0.027735374867916107, -0.0051577710546553135, -0.02443549409508705, 0.0005833599134348333, -0.018517522141337395, -0.018394799903035164, -0.0019243633141741157, 0.009333758614957333, 0.016540320590138435, -0.0019635665230453014, -0.042516667395830154, -0.011195056140422821, 0.009783742018043995, -0.024490036070346832, -0.016526684165000916, -7.350590749410912e-05, -0.040634915232658386, 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-0.060072410851716995]\"\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/views_metadata.txt",
    "content": "#This file contains meta data about views. \n#name: The name of the view, \n#description: a text description of what the view contains, \n#schema: the schema, \n#example queries: examples of questions that may be posed against this view \n#additional_context: additional special instructions to pass to codex\n#foreign key: optionally foreign keys if available, \n#<attribute_name>: and a description of each attribute. \n\nname: annual_medical_care_log\ndescription: different types of medical appointments for myself, my children/kids, or my parents, and when. E.g., I brought my kids for their vision checkup on Jan 03, 2021. \nschema: (eid,date,for_whom,type_of_care)\nexample queries: When was my last vision checkup? How many dental appointments did my kids have in 2020? When did my parents go for their medical checkup in 2021?\nadditional_context: The for_whom column describes checkups for myself as \"personal_medical_checkup\".\nforeign key: -\neid: TEXT  // primary key \ndate: DATETYPE // the day of the appointment. \nfor_whom: TEXT // who the medical appointment is for (parents, children, or self) TEXT\ntype_of_care: TEXT // the type of medical appointment (dental, vision, physical)\n\nname: daily_chat_log\ndescription: records talks/chats with people on some date and time. E.g., I spent 24 minutes talking to Emily and Bob on the morning of August 6, 2017.\nschema: (eid,date,timeofday,howlong,friends)\nexample queries: When was the last time I chat with Rachel in the morning? How long did I chat with my friends yesterday? Who did I talk to on 12 May, 2018? \nadditional_context: \nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day the chat/talk took place\ntimeofday: TEXT // when the chat/talk took place during the day (morning, afternoon, or evening)\nhowlong: INTEGER // the length/duration of the chat/talk in minutes\nfriends: TEXT // the list of people whom I talked to\n\nname: daily_exercise_log\ndescription: records of different types of exercises done (running/jogging, swimming, walking etc.) and the corresponding heart rate. E.g., I went swimming on Jun 20, 2019 and my average heart rate was 145BPM.\nschema: (eid,date,exercise,heart_rate)\nexample queries: how many times did I run or bike last month? Which month did I exercise the most?  Which year did I exercise the most?\nadditional_context: \nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day of exercise\nexercise: TEXT // type of exercise (swimming, running/jogging, yoga, walking, etc.)\nheart_rate: INTEGER // the average heart rate in BPM during exercise\n\nname: daily_meal_log\ndescription: records of meals eaten, types of food, friends or people involved, and on which day or date. E.g., I had oatmeal for breakfast on April 7, 2011 with John and Carter.\nschema: (eid,date,mealtype,foodtype,people_string)\nexample queries: How many times did I have cereals for breakfast in April 2020? What did I last eat with Jane for lunch? \nadditional_context: \nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day of the meal\nmealtype: TEXT // type of meal (breakfast, lunch, dinner, snack)\nfoodtype: TEXT // type of food (chinese, pasta, tacos etc.)\npeople_string: TEXT // list of people or friends \n\nname: daily_read_log\ndescription: what is read (e.g., books, news, social media) and for how long\nschema: (eid,date,readtype,howlong). E.g., I spent 30 mins reading news on 22 June 2018.\nexample queries: how much time did I spend on social media or the news last month? How many books did I read in 2020? \nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // date the reading activity took place\nreadtype: TEXT // source of reading material (books, news, magazine, social media) \nhowlong: INTEGER // the length/duration of the reading activity\n\nname: daily_watchtv_log\ndescription: what is watched on tv (e.g., movie, tv series, documentary, or news), on which day or date and for how long. E.g., I watched a movie for 2 hrs on 18 June 2019.\nschema: (eid,date,watchtype,howlong)\nexample queries: When was the last time I watch a movie or news? How long did I spend watching tv in 2020\nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day where this event, watching tv, occurred\nwatchtype: TEXT // what is watched on tv (movie, tv series, news)\nhowlong: INTEGER // the length/duration spent watching tv\n\nname: marriages_log\ndescription: records the date of marriage, name of spouse or partner, and where the marriage took place. E.g., I married John on May 2, 2010 in Marin County, California.\nschema: (eid,married_date,partner_name,location)\nexample queries: when was my first marriage and where? How many times did I get married?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\nmarried_date: DATETYPE // the date of marriage\npartner_name: TEXT // name of partner or spouse\nlocation: TEXT // the location where the marriage took place\n\nname: monthly_pet_care_log\ndescription: date that the pet (e.g., dog or cat) was taking for grooming or medical checkups. E.g., Roki was groomed and had his nails trimmed on 2 Jan 2022.\nschema: (eid,date,pet_care_type)\nexample queries: When did I last take Rocky to a bath? How many times did Rocky groom and got his nails trimmed in 2021?  Did Rocky go for a medical checkup last year?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day of the pet care or grooming\npet_care_type: TEXT // grooming (bath, grooming, nail trim)\n\nname: moves_log\ndescription: when a move or relocation was made and the destination location. E.g., I moved to Madison, Wisconsin for college on 20 August, 2018.\nschema: (id,date,type_of_move,destination)\nexample queries: when did I move to college? \nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day of of the move\ntype_of_move: TEXT // the type of move or reason for moving (move due to job, college, graduate school)\ndestination: TEXT // the place moved to\n\nname: travel_log\ndescription: record of where I traveled, the travel destination, with whom, and the start and end dates of travel. E.g., I went to San Francisco from September 7, 2019 to September 17, 2019 with John and Carter.\nschema: (eid,start_date,end_date,city,people)\nexample queries: When did I visit Tokyo in 2021? Who did I go London with in 2021? How long was I in Taipei, Taiwan in 2021?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\nstart_date: DATETYPE // the first day of travel for this record\nend_date: DATETYPE // the last day of travel for this record\ncity: TEXT // the destination or city traveled to\npeople: TEXT // the people or friends traveling with you\n\nname: travel_dining_log\ndescription: records of dining events or meals during travel at the city, the food, the place where the meal took place, the date of the dining event, the people or friends at the dining event, and the emotion associated. E.g., I went to San Francisco from September 7, 2019 to September 17, 2019 and had pasta at Pier 39.\nschema: (eid,start_date,end_date,city,dining_date,food_type,food_location,place_visit_date,place,people,action,emotion)\nexample queries: what did I last eat in Philadelphia? Where was the location of the restaurant I dined in the last day of London?\nadditional_context:\nforeign key: (eid,start_date,end_date,city) is a foreign key in travel_log\neid: TEXT // primary key\nstart_date: DATETYPE // the first day of travel for this record\nend_date: DATETYPE // the last day of travel for this record\ncity: TEXT // the destination or city traveled to\ndining_date: DATETYPE // the date this dining event took place\nfood_type: TEXT // type of food (Chinese, Italian, Indian, Japanese, etc.)\nfood_location: TEXT // name of restaurant or street name where the meal took place\nplace_visit_date: DATETYPE // date that place was visited during the same trip\nplace: TEXT // a place visited during the same trip\npeople: TEXT // list of people or friends who were at the same trip\naction: TEXT // an activity done during at the place that was visited (took a group photo, or a selfie, bought souvenirs)\nemotion: TEXT // feelings associated with the action taken (happy, impressed)\n\nname: travel_places_visited_log\ndescription: the start and end date of the travel, the city visited (e.g., London, Sydney) and with whom and the things done. E.g., I went to San Francisco from September 7, 2019 to September 17, 2019 and visited Union Square with John and Carter on September 8, 2019. We took some pictures and were happy.\nschema: (eid,start_date,end_date,city,place_visit_date,place,people,action,emotion)\nexample queries: How many places did I visit when I was in Tokyo in 2021? Did I go to the Museum of Arts when I last visited Philadelphia? \nadditional_context:\nforeign key: (eid,start_date,end_date,city) is a foreign key in travel_log\neid: TEXT // primary key\nstart_date: DATETYPE // the first day of travel for this record\nend_date: DATETYPE // the last day of travel for this record\ncity: TEXT // the destination or city traveled to\nplace_visit_date: DATETYPE // date that place was visited during the same trip\nplace: TEXT // a place visited during the same trip\npeople: TEXT // list of people or friends who were at the same trip\naction: TEXT // an activity done during at the place that was visited (took a group photo, or a selfie, bought souvenirs)\nemotion: TEXT // feelings associated with the action taken (happy, impressed)\n\nname: weekly_bakeorcook_log\ndescription: records the type of dishes or cuisines I make (e.g., dessert, pie, jam, cookies), where it was made and with whom and the day it was made. E.g., I baked chocolate cake at my place with Amy and Brandy on February 6, 2019.\nschema: (eid,date,cuisine,location,people)\nexample queries: When did I last bake a pie? What dishes did I cook the most often in 2021?  Who made a chocolate cake with me in April 2022?  How many times did I make bread in 2022? \nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day the baking or cooking took place\ncuisine: TEXT // the type of dish made (chocolate chip, cake, steak, chinese stir fry)\nlocation: TEXT // the place where was the dish made. Usually it is \"my place\"\npeople: TEXT // the list of people or friends' names\n\nname: weekly_dating_log\ndescription: records of dating events, including the name of the date and the location where the dating took place. E.g., I dated Jimmy on May 3, 2018 at Filoli Gardens.\nschema: (eid,date,people_string,location)\nexample queries: where did I spend time with Avery in 2022? \nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day when the dating event happened\npeople_string: TEXT // the people in the dating event\nlocation: TEXT // the location of the dating event\n\nname: weekly_grocery_log\ndescription: records of the fruits, drinks, and toiletries shopped and bought during a certain day, and the people involved in the same grocery shopping trip. E.g., I bought strawberries and bananas, milk, and toothpaste from the supermarket with Jimmy and Carter.\nschema: (eid,date,fruits,drinks,toiletries,people_string)\nexample queries: How many trips did I make to the supermarket in April 2021?  When did I last buy toothpaste? How many times did I buy fruits in May 2020?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day the groceries were purchased\nfruits: TEXT // fruits (apples, peaches, guava, bananas, etc.)\ndrinks: TEXT // drinks (mango juice, soda, milk, water, etc.)\ntoiletries: TEXT // toiletries (toothpaste, facial/body/mouth wash, facial/body/hand lotion etc.)\npeople_string: TEXT // the people or friends who were also there for this shopping event\n\nname: weekly_hobby_log\ndescription: records which hobbies were carried out during a certain day and the people involved. What did I do? What did I do on a certain day and with whom? E.g., I meditated with John on January 15, 2017.\nschema: (eid,date,hobbies,people_string)\nexample queries: How many times did I meditate in 2021? How many times did I work out in May 2021?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day the hobby was done\nhobbies: TEXT // an activity that is carried out regularly (meditation, yoga, jogging, working out)\npeople_string: TEXT // the people or friends who were together for this hobby\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/weekly_bakeorcook-log.csv",
    "content": "eid,date,cuisine,location,people\ne6097,2014/04/26,carrot cake,my place,\"Piper, Nora, Rylee, Piper\"\ne6106,2014/05/26,turkey shepherd’s pie,my place,\"Carter, Andrew\"\ne6109,2014/06/09,\"chrissy teigen’s 3-ingredient chocolate mousse, birthday cupcakes with white wine buttercream\",my place,\"Andrew, Kayden\"\ne6123,2014/07/14,\"brownies, peanut butter cookies\",my place,\"Emily, Kayden, Andrew\"\ne6142,2014/09/22,\"carrot cake, cranberry apple danish, vegan sugar cookies\",my place,Hazel\ne6165,2014/12/02,blackberry-raspberry skillet cobbler,my place,\"Carter, Kayden\"\ne6173,2014/12/21,blackberry jam pie-crust straws,my place,\"Kayden, Emily\"\ne7609,2015/02/03,\"indian red lentil, scallion pancake\",my place,\"Emily, Kayden\"\ne7610,2015/02/01,\"carrot cake, peanut butter cookies\",my place,\"Emily, Carter\"\ne7614,2015/02/16,\"cranberry apple danish, blackberry jam pie-crust straws, chocolate-chip mug brownie\",my place,\"Emily, Carter\"\ne7619,2015/02/22,\"chocolate chip cookie in a mug, giant cinnamon roll\",my place,Piper\ne7635,2015/03/30,\"blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler\",my place,Carter\ne7652,2015/05/14,\"air-fryer brats, cheesy ham chowder\",my place,\"Rylee, Olivia\"\ne7657,2015/05/22,\"slow-cooker pork loin, cube steak and gravy, traditional meat loaf\",my place,\"Nora, Piper, Hazel\"\ne7664,2015/06/25,thai noodle salad,my place,\"Jackson, Benjamin, Willow\"\ne7670,2015/07/13,homemade toaster pastries,my place,\"Kayden, Andrew\"\ne7687,2015/09/07,split pea soup with ham & jalapeno,my place,Jackson\ne7693,2015/09/27,\"au gratin peas and potatoes, split pea soup with ham & jalapeno, sushi\",my place,\"Avery, Kinsley, Piper\"\ne7701,2015/10/10,\"crockpot spareribs, chicken cordon bleu skillet\",my place,\"Willow, Jackson, Avery\"\ne7709,2015/11/16,easy peanut butter fudge,my place,\"Avery, Lydia\"\ne9119,2016/02/15,\"naan bread, cashew chicken \",my place,\"Andrew, Carter, Emily\"\ne9127,2016/03/05,\"general tso’s chicken, contest-winning broccoli chicken casserole\",my place,Rylee\ne9135,2016/03/20,\"cheater’s mini rhubarb galettes, lemon meringue cookies\",my place,\"Carter, Emily, Kayden\"\ne9138,2016/03/31,\"cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla\",my place,\"Claire, Olivia\"\ne9145,2016/04/26,brown sugar-pear puff pastries,my place,\"Emily, Kayden, Carter, Andrew\"\ne9146,2016/05/01,\"easy peanut butter fudge, giant cinnamon roll\",my place,\"Andrew, Kayden, Carter\"\ne9150,2016/05/16,fig tarte tatin,my place,Avery\ne9164,2016/06/29,\"chinese chicken wings, healthy turkey chili\",my place,\"Emily, Carter, Andrew\"\ne9172,2016/07/09,\"brownies, birthday cupcakes with white wine buttercream\",my place,\"Hazel, Layla\"\ne9173,2016/07/11,easy cherry skillet cake,my place,\"Olivia, Piper, Avery\"\ne9179,2016/07/24,\"crockpot spareribs, cheesy ham chowder, instant pot whole chicken\",my place,\"Piper, Nora, Rylee, Olivia\"\ne9186,2016/08/08,\"easy peanut butter fudge, blackberry-raspberry skillet cobbler, brown sugar-pear puff pastries\",my place,\"Avery, Lydia, Piper, Eva\"\ne9216,2016/11/21,\"cheater’s mini rhubarb galettes, birthday cupcakes with white wine buttercream\",my place,Emily\ne9227,2016/12/16,split pea soup with ham & jalapeno,my place,Jackson\ne10660,2017/01/13,\"air-fryer brats, swedish meatball recipe\",my place,\"Kayden, Andrew\"\ne10685,2017/03/08,cream of celery soup recipe,my place,\"Kayden, Emily, Carter, Andrew\"\ne10738,2017/08/10,\"cream-filled bundt cake, blackberry jam pie-crust straws\",my place,\"Lydia, Avery, Kinsley\"\ne10760,2017/10/23,chinese broccoli with oyster sauce,my place,Kayden\ne10764,2017/11/11,\"hamburger stroganoff, favorite chicken potpie, ramen noodle stir-fry\",my place,Willow\ne10775,2017/12/07,macaroni and cheese,my place,\"Avery, Benjamin, Willow, Jackson\"\ne10777,2017/12/12,cinnamon sheet cake with cider frosting,my place,\"Carter, Andrew, Kayden, Emily\"\ne10781,2017/12/26,\"blackberry jam pie-crust straws, blackberry-raspberry skillet cobbler\",my place,\"Claire, Olivia, Piper\"\ne12177,2018/02/07,\"chocolate-chip mug brownie, carrot cake\",my place,\"Emily, Andrew, Carter\"\ne12207,2018/05/20,\"homemade toaster pastries, cinnamon sheet cake with cider frosting, easy chocolate marshmallow cups\",my place,\"Nevaeh, Nora, Rylee, Olivia\"\ne12226,2018/07/09,beef and broccoli,my place,\"Nevaeh, Nora, Avery\"\ne12272,2018/11/25,\"healthy turkey chili, so-easy sloppy joes\",my place,\"Emily, Kayden, Andrew, Carter\"\ne13655,2019/01/25,\"peanut butter cookies, chrissy teigen’s 3-ingredient chocolate mousse\",my place,\"Kayden, Emily\"\ne13678,2019/04/17,\"sushi, chicken and gravy\",my place,\"Layla, Claire, Olivia, Kinsley\"\ne13686,2019/05/23,\"easy peanut butter fudge, peanut butter cookies\",my place,\"Claire, Layla, Olivia, Hazel\"\ne13702,2019/07/09,\"cashew chicken , rigatoni with sausage & peas\",my place,\"Andrew, Kayden, Carter, Emily\"\ne13703,2019/07/12,\"naan bread, thai green curry paste, asian slaw\",my place,Emily\ne13709,2019/08/02,\"ground turkey vegetable soup, general tso’s chicken, contest-winning broccoli chicken casserole\",my place,\"Layla, Nevaeh, Kinsley\"\ne13712,2019/08/10,\"poke, chicken cordon bleu skillet\",my place,\"Olivia, Nevaeh\"\ne13717,2019/08/13,\"easy peanut butter fudge, homemade toaster pastries\",my place,\"Kayden, Andrew, Emily, Carter\"\ne13746,2019/11/23,\"carrot cake, brownies\",my place,\"Avery, Jackson, Willow\"\ne15156,2020/03/22,ground turkey vegetable soup,my place,\"Carter, Kayden\"\ne15173,2020/05/15,\"birthday cupcakes with white wine buttercream, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler\",my place,\"Andrew, Carter\"\ne15179,2020/06/15,\"tender salsa beef, healthy turkey chili, thai noodle salad\",my place,Nevaeh\ne15193,2020/07/29,chicken and gravy,my place,\"Kayden, Emily\"\ne15204,2020/08/31,\"rigatoni with sausage & peas, turkey shepherd’s pie, lo mein\",my place,\"Benjamin, Jackson, Willow\"\ne15205,2020/08/26,cream-filled bundt cake,my place,\"Emily, Carter, Andrew, Kayden\"\ne15212,2020/09/28,\"chinese broccoli with oyster sauce, vietnamese coffee, so-easy sloppy joes\",my place,\"Jackson, Avery, Benjamin, Willow\"\ne15218,2020/10/09,\"chicken and gravy, indian red lentil\",my place,\"Eva, Rylee, Lydia\"\ne16616,2021/01/16,\"easy peanut butter fudge, homemade toaster pastries\",my place,Andrew\ne16627,2021/02/12,\"cinnamon sheet cake with cider frosting, gluten-free apple rose tart\",my place,\"Jackson, Avery, Willow\"\ne16628,2021/02/17,\"giant cinnamon roll, carrot cake, easy peanut butter fudge\",my place,\"Willow, Jackson\"\ne16634,2021/02/27,easy chocolate marshmallow cups,my place,\"Piper, Nora, Eva, Avery\"\ne16650,2021/04/24,brownies,my place,\"Olivia, Rylee, Nevaeh\"\ne16683,2021/08/01,\"cashew chicken , general tso’s chicken, lo mein\",my place,\"Andrew, Carter\"\ne16690,2021/09/02,\"lemon meringue cookies, birthday cupcakes with white wine buttercream\",my place,\"Nora, Lydia, Nevaeh\"\ne16704,2021/10/21,\"blackberry jam pie-crust straws, fig tarte tatin, cheater’s mini rhubarb galettes\",my place,Layla\ne16710,2021/11/04,\"blackberry-raspberry skillet cobbler, lemon meringue cookies\",my place,\"Piper, Avery, Claire, Olivia\"\ne18158,2022/04/17,\"homemade toaster pastries, brown sugar-pear puff pastries\",my place,\"Carter, Emily, Andrew, Kayden\"\ne18163,2022/05/03,swedish meatball recipe,my place,\"Eva, Kinsley\"\ne18174,2022/06/03,\"chocolate chip cookie in a mug, easy chocolate marshmallow cups, blackberry-raspberry skillet cobbler\",my place,\"Andrew, Carter, Emily\"\ne18186,2022/06/26,\"chow mein, cheesy ham chowder\",my place,\"Andrew, Kayden, Emily\"\ne18192,2022/07/12,lemon meringue cookies,my place,\"Kayden, Carter, Emily, Andrew\"\ne18225,2022/10/09,\"cranberry apple danish, cinnamon sheet cake with cider frosting\",my place,\"Carter, Andrew, Emily\"\ne18226,2022/10/21,\"creamed garden potatoes and peas, general tso’s chicken\",my place,\"Piper, Kinsley, Layla, Piper\"\ne18236,2022/11/14,\"dessert nachos, cranberry apple danish, gluten-free apple rose tart\",my place,\"Rylee, Piper\"\ne18242,2022/11/30,\"cream-filled bundt cake, fig tarte tatin, chocolate chip cookie in a mug\",my place,\"Emily, Carter\"\ne18250,2022/12/30,\"contest-winning broccoli chicken casserole, au gratin peas and potatoes\",my place,\"Jackson, Benjamin, Willow\"\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/weekly_dating-log.csv",
    "content": "eid,date,people_string,location\ne16,2010/01/02,Leah,a boba shop\ne17,2010/01/05,Elena,a restaurant\ne19,2010/01/10,Charlotte,a park\ne23,2010/01/28,Victoria,a restaurant\ne28,2010/02/05,Daniel,a coffee Shop\ne29,2010/02/16,Aurora,a restaurant\ne30,2010/02/19,Theodore,a boba shop\ne31,2010/02/24,Elias,a park\ne33,2010/03/01,Carson,a park\ne39,2010/03/15,Lydia,a boba shop\ne42,2010/03/25,Dominic,a boba shop\ne46,2010/04/07,Grace,a park\ne49,2010/04/19,Miles,a boba shop\ne50,2010/04/27,Aurora,a coffee Shop\ne54,2010/05/13,Santiago ,a park\ne59,2010/05/21,Theodore,a restaurant\ne61,2010/06/01,Christian,a coffee Shop\ne66,2010/06/14,Jordan,a park\ne71,2010/07/17,Isabella,a park\ne72,2010/07/22,Alexander,a boba shop\ne75,2010/07/27,Charles,a boba shop\ne77,2010/08/11,Willow,a coffee Shop\ne84,2010/08/21,David,a park\ne86,2010/09/01,Lucas,a coffee Shop\ne90,2010/09/15,Daniel,a boba shop\ne93,2010/09/18,Hailey,a park\ne94,2010/09/20,Evelyn,a park\ne97,2010/09/30,Xavier,a coffee Shop\ne99,2010/10/05,Mike,a boba shop\ne104,2010/10/17,Carson,a coffee Shop\ne107,2010/10/28,Brooklyn,a restaurant\ne117,2010/11/29,Austin,a boba shop\ne119,2010/12/07,Autumn,a coffee Shop\ne122,2010/12/22,Maverick,a park\ne1530,2011/01/04,Dylan,a park\ne1538,2011/02/12,Cora,a boba shop\ne1539,2011/02/16,Hazel,a restaurant\ne1540,2011/02/19,Joseph,a coffee Shop\ne1542,2011/03/04,Nathan,a boba shop\ne1544,2011/03/09,Ian,a boba shop\ne1546,2011/03/13,Emilia,a coffee Shop\ne1547,2011/03/17,Zoe,a coffee Shop\ne1551,2011/03/27,Stella,a restaurant\ne1554,2011/04/03,Parker,a coffee Shop\ne1559,2011/04/10,Aaliyah,a boba shop\ne1560,2011/04/15,Ruby,a restaurant\ne1563,2011/04/17,Adrian,a restaurant\ne1565,2011/04/23,Jade,a coffee Shop\ne1566,2011/04/28,Willow,a park\ne1569,2011/05/04,Adeline,a park\ne1572,2011/05/15,Eli,a park\ne1574,2011/05/23,Oliver,a park\ne1578,2011/06/08,Aaron,a boba shop\ne1580,2011/06/14,Ella,a park\ne1586,2011/06/25,Alon,a park\ne1589,2011/07/04,Kai,a boba shop\ne1590,2011/07/08,Josiah,a restaurant\ne1596,2011/07/21,Alice,a boba shop\ne1600,2011/07/25,Ethan,a park\ne1603,2011/08/04,David,a restaurant\ne1606,2011/08/07,Hailey,a coffee Shop\ne1607,2011/08/12,Axel,a restaurant\ne1610,2011/08/15,Layla,a park\ne1611,2011/08/19,Valentina,a boba shop\ne1614,2011/08/31,Autumn,a boba shop\ne1615,2011/09/04,James,a boba shop\ne1618,2011/09/29,Everleigh,a coffee Shop\ne1620,2011/10/06,Jaxon,a park\ne1621,2011/10/13,Eleanor,a park\ne1625,2011/10/28,Willow,a boba shop\ne1631,2011/11/17,Luna,a park\ne1636,2011/12/08,Emilia,a park\ne1639,2011/12/12,Everly,a coffee Shop\ne1640,2011/12/14,Christophe,a boba shop\ne1642,2011/12/19,Asher,a boba shop\ne1643,2011/12/21,Lincoln,a coffee Shop\ne1646,2011/12/26,Jordan,a restaurant\ne3067,2012/01/12,Xavier,a restaurant\ne3069,2012/01/15,Cora,a coffee Shop\ne3071,2012/01/25,Hailey,a coffee Shop\ne3073,2012/01/31,Owen,a restaurant\ne3074,2012/02/04,Easton,a park\ne3076,2012/02/10,Ellie,a coffee Shop\ne3079,2012/02/14,Nicholas,a park\ne3082,2012/02/24,Everleigh,a restaurant\ne3085,2012/02/28,Jonathan,a park\ne3086,2012/03/02,Parker,a boba shop\ne3091,2012/03/08,Dylan,a boba shop\ne3095,2012/03/18,Gianna,a boba shop\ne3101,2012/04/17,Silas,a park\ne3104,2012/05/24,Scarlett,a restaurant\ne3106,2012/06/02,Levi,a park\ne3108,2012/06/06,Athena,a restaurant\ne3112,2012/06/18,Charlotte,a boba shop\ne3113,2012/06/20,Elizabeth,a boba shop\ne3119,2012/07/07,Maverick,a restaurant\ne3124,2012/07/19,Ariana,a coffee Shop\ne3127,2012/07/22,Elena,a boba shop\ne3134,2012/08/15,Hunter,a restaurant\ne3137,2012/08/22,Aaron,a restaurant\ne3140,2012/08/29,Gabriella,a restaurant\ne3144,2012/09/16,Sadie,a boba shop\ne3145,2012/09/23,Eliana,a boba shop\ne3148,2012/10/04,Jacob,a restaurant\ne3156,2012/11/06,Charles,a boba shop\ne3157,2012/11/07,Oliver,a park\ne3161,2012/11/13,Aurora,a restaurant\ne3163,2012/11/24,Lily,a park\ne3168,2012/12/03,Leonardo,a park\ne3174,2012/12/19,Quinn,a restaurant\ne4605,2013/01/27,Chris,a restaurant\ne4606,2013/01/31,Lillian,a boba shop\ne4608,2013/02/09,Stella,a park\ne4611,2013/02/12,Jameson,a park\ne4613,2013/03/01,Henry,a boba shop\ne4614,2013/03/07,Alon,a coffee Shop\ne4615,2013/03/17,Madelyn,a boba shop\ne4619,2013/03/21,Joseph,a park\ne4623,2013/04/01,Kai,a restaurant\ne4626,2013/04/07,Cooper,a park\ne4630,2013/04/22,Emily,a coffee Shop\ne4633,2013/05/06,Wyatt,a restaurant\ne4637,2013/05/14,Paisley,a boba shop\ne4638,2013/05/24,Jade,a coffee Shop\ne4640,2013/06/02,Ryan,a coffee Shop\ne4645,2013/06/29,Cooper,a park\ne4649,2013/07/16,Aiden,a park\ne4650,2013/07/19,Theodore,a boba shop\ne4654,2013/08/01,Leilani,a boba shop\ne4655,2013/08/05,Owen,a park\ne4659,2013/08/08,Santiago ,a coffee Shop\ne4662,2013/08/18,Nova,a boba shop\ne4665,2013/08/28,Michael,a coffee Shop\ne4666,2013/09/16,Adam,a park\ne4667,2013/09/23,Wesley,a boba shop\ne4670,2013/09/24,Leah,a boba shop\ne4673,2013/10/19,Amelia,a boba shop\ne4675,2013/10/22,Nova,a park\ne4678,2013/11/02,Eliana,a park\ne4681,2013/11/07,Piper,a park\ne4682,2013/11/14,Harper,a restaurant\ne4689,2013/12/01,Jaxson,a restaurant\ne4692,2013/12/07,Kinsley,a restaurant\ne4693,2013/12/16,Nora,a boba shop\ne4696,2013/12/25,Luca,a coffee Shop\ne6058,2014/01/03,Audrey,a park\ne6059,2014/01/04,Serenity,a restaurant\ne6062,2014/01/10,Isla,a park\ne6063,2014/01/17,Leilani,a coffee Shop\ne6068,2014/02/01,Peyton,a boba shop\ne6070,2014/02/11,Joshua,a restaurant\ne6072,2014/02/12,Mateo,a coffee Shop\ne6073,2014/02/16,Asher,a coffee Shop\ne6076,2014/02/23,Joshua,a coffee Shop\ne6078,2014/03/04,Bella,a boba shop\ne6081,2014/03/05,Naomi,a coffee Shop\ne6085,2014/03/24,Alon,a restaurant\ne6089,2014/03/29,Jace,a restaurant\ne6095,2014/04/22,Sophie,a coffee Shop\ne6099,2014/05/08,Samuel,a park\ne6103,2014/05/15,Jane,a park\ne6111,2014/06/11,Caroline,a restaurant\ne6112,2014/06/15,Alice,a park\ne6114,2014/06/20,Piper,a boba shop\ne6115,2014/06/22,Wang-Chiew,a park\ne6118,2014/06/28,Emilia,a boba shop\ne6128,2014/07/31,Isla,a park\ne6129,2014/08/06,Grayson,a park\ne6131,2014/08/17,Cooper,a boba shop\ne6132,2014/08/24,Layla,a restaurant\ne6138,2014/09/08,Emilia,a restaurant\ne6140,2014/09/15,Lily,a restaurant\ne6143,2014/09/22,Violet,a boba shop\ne6146,2014/10/07,Mila,a boba shop\ne6155,2014/10/31,Willow,a park\ne6156,2014/11/03,Nova,a restaurant\ne6160,2014/11/14,Joshua,a coffee Shop\ne6161,2014/11/16,James,a boba shop\ne6163,2014/11/25,Everett,a boba shop\ne7601,2015/01/08,Luca,a restaurant\ne7604,2015/01/15,Joshua,a park\ne7607,2015/01/28,Chloe,a coffee Shop\ne7613,2015/02/08,Emily,a restaurant\ne7615,2015/02/14,Maverick,a park\ne7616,2015/02/15,Levi,a coffee Shop\ne7623,2015/02/26,Axel,a boba shop\ne7627,2015/03/08,Ella,a park\ne7633,2015/03/23,Harper,a coffee Shop\ne7636,2015/03/26,Ryan,a coffee Shop\ne7640,2015/04/10,Joseph,a boba shop\ne7641,2015/04/14,Maya,a coffee Shop\ne7644,2015/04/25,Jackson,a coffee Shop\ne7646,2015/05/05,Bella,a coffee Shop\ne7649,2015/05/13,Jace,a park\ne7653,2015/05/16,Carson,a boba shop\ne7654,2015/05/20,Skylar,a coffee Shop\ne7658,2015/05/25,Claire,a restaurant\ne7665,2015/06/25,Ezekiel,a park\ne7666,2015/06/28,Jacob,a coffee Shop\ne7673,2015/07/22,Ella,a park\ne7683,2015/08/21,Lucy,a coffee Shop\ne7689,2015/09/13,Easton,a restaurant\ne7692,2015/09/20,Luca,a park\ne7694,2015/09/28,Nathan,a boba shop\ne7696,2015/10/03,Anna,a boba shop\ne7710,2015/11/13,Lily,a park\ne7714,2015/11/27,Henry,a restaurant\ne7715,2015/12/01,Grace,a boba shop\ne7718,2015/12/08,Caroline,a restaurant\ne7724,2015/12/19,Abigail,a coffee Shop\ne7725,2015/12/21,Hailey,a coffee Shop\ne7728,2015/12/27,Lillian,a boba shop\ne9106,2016/01/14,Elena,a boba shop\ne9108,2016/01/19,Christophe,a restaurant\ne9109,2016/01/22,Adrian,a coffee Shop\ne9115,2016/02/07,Alexander,a coffee Shop\ne9116,2016/02/08,Claire,a coffee Shop\ne9120,2016/02/15,Alexander,a coffee Shop\ne9122,2016/02/25,Rylee,a coffee Shop\ne9128,2016/03/04,Charlotte,a coffee Shop\ne9131,2016/03/11,Penelope,a coffee Shop\ne9136,2016/03/22,Natalie,a restaurant\ne9139,2016/03/31,Rylee,a coffee Shop\ne9147,2016/04/29,Maya,a boba shop\ne9152,2016/05/20,Xavier,a boba shop\ne9153,2016/05/26,Jordan,a coffee Shop\ne9159,2016/06/04,Aaron,a park\ne9161,2016/06/14,Leilani,a restaurant\ne9162,2016/06/20,Camila,a coffee Shop\ne9165,2016/06/24,Jordan,a boba shop\ne9166,2016/06/28,Scarlett,a coffee Shop\ne9169,2016/07/06,Ian,a boba shop\ne9174,2016/07/11,Naomi,a restaurant\ne9180,2016/07/24,Elena,a boba shop\ne9188,2016/08/15,Elena,a park\ne9192,2016/08/30,Cooper,a park\ne9194,2016/09/05,Naomi,a park\ne9198,2016/09/17,Claire,a restaurant\ne9201,2016/09/23,Caleb,a park\ne9202,2016/09/28,Lucas,a boba shop\ne9207,2016/10/25,Alexander,a boba shop\ne9212,2016/11/10,Emma,a restaurant\ne9218,2016/11/28,Julian,a coffee Shop\ne9220,2016/12/08,Emilia,a restaurant\ne9224,2016/12/11,Aiden,a boba shop\ne9228,2016/12/22,Sebastian,a park\ne10661,2017/01/08,Jordan,a park\ne10662,2017/01/13,Jaxon,a restaurant\ne10665,2017/01/18,Hailey,a park\ne10667,2017/01/26,Elias,a restaurant\ne10669,2017/01/29,Cora,a park\ne10670,2017/02/04,Scarlett,a park\ne10672,2017/02/07,Adrian,a park\ne10673,2017/02/08,Nevaeh,a coffee Shop\ne10677,2017/02/12,Eli,a boba shop\ne10678,2017/02/17,Adam,a park\ne10682,2017/02/24,Emery,a park\ne10688,2017/03/15,Lambert,a coffee Shop\ne10691,2017/03/23,Lydia,a coffee Shop\ne10693,2017/03/28,Joshua,a boba shop\ne10695,2017/04/08,Emery,a park\ne10701,2017/04/22,Hudson,a boba shop\ne10704,2017/04/26,Oliver,a coffee Shop\ne10706,2017/05/03,Athena,a boba shop\ne10709,2017/05/07,Cameron,a coffee Shop\ne10710,2017/05/12,Autumn,a boba shop\ne10713,2017/05/23,Michael,a boba shop\ne10715,2017/05/31,Piper,a coffee Shop\ne10717,2017/06/05,Aubrey,a boba shop\ne10718,2017/06/07,Ariana,a coffee Shop\ne10719,2017/06/12,Ivy,a park\ne10725,2017/07/04,Savannah,a restaurant\ne10726,2017/07/05,Ezekiel,a restaurant\ne10732,2017/07/21,Kennedy,a coffee Shop\ne10733,2017/07/23,Jeremiah,a park\ne10734,2017/07/29,Aria,a park\ne10743,2017/08/24,Parker,a boba shop\ne10747,2017/09/05,Brooklyn,a restaurant\ne10752,2017/10/07,Eliana,a restaurant\ne10756,2017/10/17,Jace,a boba shop\ne10761,2017/10/26,Aubrey,a boba shop\ne10765,2017/11/05,Quinn,a restaurant\ne10767,2017/11/14,Noah,a park\ne10770,2017/11/23,Mason,a park\ne10779,2017/12/23,Dylan,a boba shop\ne10782,2017/12/29,Jacob,a coffee Shop\ne12169,2018/01/05,Silas,a boba shop\ne12171,2018/01/18,Marzieh,a restaurant\ne12174,2018/01/25,Ruby,a coffee Shop\ne12178,2018/02/11,John,a park\ne12181,2018/02/18,Jordan,a coffee Shop\ne12185,2018/03/02,Charlotte,a restaurant\ne12187,2018/03/09,Christian,a restaurant\ne12191,2018/03/12,Matthew,a coffee Shop\ne12192,2018/03/16,Athena,a restaurant\ne12194,2018/03/21,Cameron,a park\ne12197,2018/03/26,Eleanor,a restaurant\ne12205,2018/05/10,Willow,a park\ne12208,2018/05/16,Piper,a restaurant\ne12211,2018/06/03,Lily,a coffee Shop\ne12214,2018/06/08,Leah,a restaurant\ne12218,2018/06/14,Jaxon,a coffee Shop\ne12222,2018/07/01,Josephine,a coffee Shop\ne12227,2018/07/09,Luke,a coffee Shop\ne12228,2018/07/14,Isaiah,a park\ne12242,2018/08/31,Chloe,a restaurant\ne12245,2018/09/05,Hunter,a boba shop\ne12247,2018/09/13,Luna,a park\ne12249,2018/09/20,Maya,a restaurant\ne12252,2018/09/29,Isla,a park\ne12253,2018/10/07,Elena,a park\ne12256,2018/10/10,Evelyn,a coffee Shop\ne12257,2018/10/14,Josiah,a coffee Shop\ne12260,2018/10/17,Mason,a boba shop\ne12273,2018/11/23,Isabella,a coffee Shop\ne12276,2018/11/30,Adam,a restaurant\ne12279,2018/12/06,Matthew,a park\ne13645,2019/01/06,Jonathan,a restaurant\ne13647,2019/01/14,Noah,a boba shop\ne13651,2019/01/16,Axel,a restaurant\ne13652,2019/01/18,Naomi,a coffee Shop\ne13658,2019/02/09,Natalia,a coffee Shop\ne13671,2019/03/25,Hudson,a restaurant\ne13674,2019/03/31,Joseph,a boba shop\ne13676,2019/04/08,Theodore,a boba shop\ne13683,2019/05/09,William,a park\ne13687,2019/05/27,Violet,a park\ne13690,2019/06/10,Rylee,a boba shop\ne13693,2019/06/14,Jace,a boba shop\ne13696,2019/06/18,Kinsley,a park\ne13697,2019/06/24,Charlotte,a boba shop\ne13699,2019/06/27,Jackson,a coffee Shop\ne13704,2019/07/10,Isaac,a restaurant\ne13705,2019/07/23,Greyson,a park\ne13710,2019/08/05,Nathan,a boba shop\ne13713,2019/08/08,Riley,a park\ne13714,2019/08/12,Serenity,a restaurant\ne13718,2019/08/13,Joseph,a park\ne13719,2019/08/17,Austin,a park\ne13723,2019/08/22,Matthew,a park\ne13724,2019/08/26,Lincoln,a coffee Shop\ne13726,2019/08/29,Lambert,a restaurant\ne13743,2019/10/25,Josephine,a boba shop\ne13747,2019/11/23,Leah,a park\ne13749,2019/11/26,Everleigh,a park\ne13754,2019/12/16,Olivia,a boba shop\ne13757,2019/12/22,Zoe,a park\ne13761,2019/12/28,Everly,a park\ne15130,2020/01/03,Mike,a restaurant\ne15131,2020/01/07,Julian,a coffee Shop\ne15136,2020/01/26,Charles,a restaurant\ne15142,2020/02/07,Everett,a coffee Shop\ne15147,2020/02/23,Anna,a coffee Shop\ne15149,2020/03/03,Leo,a boba shop\ne15154,2020/03/14,Axel,a park\ne15160,2020/04/05,Hazel,a park\ne15165,2020/04/17,Owen,a park\ne15167,2020/04/22,Emilia,a coffee Shop\ne15169,2020/04/29,Adam,a park\ne15176,2020/06/02,Benjamin,a boba shop\ne15183,2020/06/30,Owen,a boba shop\ne15185,2020/07/03,Miles,a restaurant\ne15186,2020/07/04,Ava,a coffee Shop\ne15188,2020/07/14,Kinsley,a boba shop\ne15194,2020/08/02,Ariana,a park\ne15197,2020/08/11,Paisley,a coffee Shop\ne15200,2020/08/13,Hunter,a restaurant\ne15210,2020/09/14,Savannah,a boba shop\ne15215,2020/10/04,Natalia,a park\ne15220,2020/10/19,Alexander,a coffee Shop\ne15223,2020/10/29,Hunter,a park\ne15224,2020/11/02,Evelyn,a boba shop\ne15229,2020/11/13,Mason,a boba shop\ne15232,2020/11/22,Easton,a restaurant\ne15233,2020/11/30,Ian,a restaurant\ne15238,2020/12/10,Logan,a coffee Shop\ne15242,2020/12/18,Nora,a coffee Shop\ne15243,2020/12/19,Gianna,a restaurant\ne16620,2021/01/31,Owen,a restaurant\ne16622,2021/02/05,Ryan,a restaurant\ne16629,2021/02/12,Roman,a restaurant\ne16630,2021/02/15,Ethan,a coffee Shop\ne16640,2021/03/22,Isaiah,a boba shop\ne16644,2021/04/14,Hudson,a boba shop\ne16647,2021/04/22,Natalia,a boba shop\ne16651,2021/04/28,Aaliyah,a restaurant\ne16654,2021/04/30,Jaxson,a restaurant\ne16656,2021/05/10,Skylar,a restaurant\ne16658,2021/05/15,Madison,a restaurant\ne16666,2021/06/15,Xavier,a park\ne16672,2021/06/28,Elias,a restaurant\ne16675,2021/07/14,Aurora,a coffee Shop\ne16678,2021/07/20,Zoey,a boba shop\ne16680,2021/07/26,Sadie,a boba shop\ne16686,2021/08/11,Ian,a boba shop\ne16691,2021/08/30,Kai,a restaurant\ne16692,2021/09/03,Kennedy,a boba shop\ne16693,2021/09/09,Lucy,a restaurant\ne16697,2021/09/25,Everleigh,a park\ne16699,2021/10/02,Mia,a restaurant\ne16700,2021/10/04,Benjamin,a coffee Shop\ne16702,2021/10/10,Charles,a restaurant\ne16707,2021/10/25,Skylar,a restaurant\ne16711,2021/11/02,Isaiah,a boba shop\ne16713,2021/11/09,Willow,a park\ne16720,2021/12/11,Silas,a coffee Shop\ne16722,2021/12/21,Sofia,a restaurant\ne16724,2021/12/25,Lambert,a boba shop\ne18130,2022/01/05,David,a coffee Shop\ne18132,2022/01/09,Wesley,a park\ne18133,2022/01/13,Everett,a boba shop\ne18136,2022/01/24,Nathan,a coffee Shop\ne18147,2022/03/08,Xavier,a coffee Shop\ne18150,2022/03/29,Brooklyn,a restaurant\ne18153,2022/04/03,Scarlett,a restaurant\ne18159,2022/04/18,Jeremiah,a restaurant\ne18162,2022/04/24,Caroline,a park\ne18164,2022/05/03,Michael,a coffee Shop\ne18166,2022/05/12,Sarah,a restaurant\ne18170,2022/05/15,Jace,a coffee Shop\ne18173,2022/05/22,Addison,a boba shop\ne18175,2022/05/29,Stella,a boba shop\ne18176,2022/06/01,Nathan,a restaurant\ne18181,2022/06/12,Eleanor,a restaurant\ne18183,2022/06/19,Scarlett,a boba shop\ne18191,2022/07/05,Delilah,a park\ne18194,2022/07/17,Lucas,a park\ne18196,2022/07/23,Jordan,a restaurant\ne18197,2022/07/27,Piper,a restaurant\ne18200,2022/08/09,Gianna,a restaurant\ne18203,2022/08/18,Josiah,a park\ne18204,2022/08/22,Josiah,a park\ne18205,2022/08/26,Austin,a park\ne18209,2022/08/28,Ava,a park\ne18210,2022/08/31,Ian,a coffee Shop\ne18217,2022/09/13,Ellie,a restaurant\ne18230,2022/11/04,Kinsley,a park\ne18233,2022/11/07,John,a park\ne18237,2022/11/14,Leo,a boba shop\ne18238,2022/11/15,Robert,a coffee Shop\ne18244,2022/12/07,Emery,a coffee Shop\ne18248,2022/12/12,Jackson,a boba shop\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/weekly_grocery-log.csv",
    "content": "eid,date,fruits,drinks,toiletries,people_string\ne21,2010/01/14,\"watermelons, apples\",\"tea, sports drinks, pineapple juice\",\"paper towel, body lotion, shaving cream, conditioner\",\ne22,2010/01/16,\"blackberries, clementines, guava, nectarines\",tea,toothbrush,Avery\ne25,2010/01/22,\"peaches, strawberries, oranges\",\"orange juice, guava juice\",mouthwash,\ne27,2010/01/31,\"bananas, pineapples, guava\",\"guava juice, soda\",\"toothpaste, mouthwash, paper towel\",\ne32,2010/02/23,\"apples, bananas, blackberries, pears\",\"apple juice, coffee\",\"toothbrush, body lotion, paper towel, shampoo\",\ne35,2010/02/26,\"pineapples, cherres\",sports drinks,\"conditioner, body lotion, paper towel, toothbrush\",\"Andrew, Carter, Emily\"\ne38,2010/03/10,\"oranges, apples, blueberries\",\"tea, mineral water\",\"paper towel, toothpaste, facial wash, mouth wash\",\ne41,2010/03/15,nectarines,sports drinks,\"body lotion, mouth wash, mouthwash, toilet paper\",\ne43,2010/03/24,\"blueberries, pineapples, apples, watermelons\",\"mineral water, tea\",\"toilet paper, mouth wash, facial wash\",\"Carter, Kayden, Andrew, Emily\"\ne44,2010/03/28,\"clementines, mangos, pineapples, apricots\",\"mineral water, chocolate milk, mango juice\",\"toilet paper, toothbrush\",\ne45,2010/03/29,\"nectarines, apricots, pears\",\"mineral water, mango juice, coffee, pineapple juice\",\"mouth wash, body lotion, conditioner\",\ne53,2010/05/04,\"pineapples, mangos, blackberries, strawberries\",chocolate milk,\"facial wash, mouth wash, toilet paper, mouthwash\",\ne57,2010/05/10,\"blackberries, cherres\",\"milk, guava juice\",\"conditioner, body lotion\",\ne58,2010/05/14,\"cherres, apples\",\"milk, orange juice\",\"mouth wash, facial wash, toothpaste, conditioner\",\"Rylee, Olivia, Piper, Eva, Layla, Nora, Lydia\"\ne60,2010/05/23,\"pears, blackberries, guava\",\"mineral water, orange juice\",\"toothpaste, shaving cream\",\"Carter, Kayden, Andrew, Emily\"\ne62,2010/06/01,\"mangos, cherres\",\"soda, mineral water, pineapple juice, chocolate milk\",mouth wash,\ne65,2010/06/05,\"guava, blueberries\",\"coffee, milk, chocolate milk\",\"mouth wash, mouthwash, facial wash\",\"Olivia, Claire, Hazel, Nevaeh\"\ne69,2010/06/30,\"cherres, pineapples, peaches, guava\",orange juice,shampoo,\ne73,2010/07/17,oranges,sports drinks,\"paper towel, toilet paper, toothpaste, body lotion\",\"Claire, Kinsley, Hazel, Rylee, Avery, Piper, Piper, Eva\"\ne74,2010/07/20,blueberries,\"tea, apple juice, mineral water\",\"shampoo, shaving cream, facial wash, toothbrush\",\ne76,2010/08/05,\"apples, raspberries, blackberries\",mineral water,\"toothbrush, toilet paper, toothpaste\",\ne79,2010/08/06,\"clementines, mangos, oranges\",\"pineapple juice, soda\",mouth wash,\ne80,2010/08/10,apricots,pineapple juice,\"toilet paper, shampoo\",\ne82,2010/08/14,\"pears, mandarins, oranges\",\"coffee, apple juice, orange juice\",\"conditioner, shaving cream\",\"Emily, Kayden, Andrew, Carter\"\ne83,2010/08/17,\"cherres, clementines\",\"sports drinks, mango juice\",\"shaving cream, conditioner, mouth wash\",\"Avery, Eva, Rylee, Piper, Kinsley\"\ne88,2010/08/31,\"strawberries, mangos\",\"coffee, pineapple juice, guava juice, mango juice\",\"toothbrush, mouthwash\",\ne89,2010/09/08,cherres,\"sports drinks, mango juice, apple juice, guava juice\",toothbrush,\ne92,2010/09/12,\"pineapples, watermelons\",\"mango juice, mineral water, milk\",\"shampoo, conditioner, body lotion, toilet paper\",\"Nora, Layla, Kinsley, Rylee, Claire, Hazel\"\ne96,2010/09/21,\"nectarines, oranges\",\"mineral water, guava juice\",\"conditioner, shaving cream, facial wash, toothpaste\",Kayden\ne98,2010/09/25,watermelons,\"chocolate milk, coffee, pineapple juice\",toothbrush,\ne100,2010/10/02,\"clementines, bananas\",\"sports drinks, milk, chocolate milk\",\"shaving cream, facial wash\",\ne101,2010/10/04,\"strawberries, blackberries\",\"mango juice, chocolate milk\",\"conditioner, toothbrush\",\ne103,2010/10/13,mangos,\"chocolate milk, guava juice, mineral water, milk\",\"mouth wash, toothbrush, shampoo\",\"Hazel, Kinsley, Lydia, Nora, Eva, Piper, Piper\"\ne106,2010/10/15,\"blueberries, cherres, mangos\",\"guava juice, soda\",\"facial wash, toothpaste, toilet paper\",\"Kayden, Carter\"\ne108,2010/10/23,\"clementines, strawberries, cherres\",guava juice,toilet paper,\"Andrew, Carter, Emily, Kayden\"\ne109,2010/10/27,\"apricots, apples, blueberries, pears\",chocolate milk,toothpaste,\ne110,2010/10/29,\"cherres, nectarines, raspberries\",\"chocolate milk, coffee, orange juice\",\"paper towel, toothpaste, toothbrush, shaving cream\",\ne111,2010/11/02,pineapples,apple juice,\"body lotion, toothbrush\",\ne113,2010/11/06,mangos,\"tea, pineapple juice\",\"body lotion, mouth wash, conditioner\",\"Jackson, Benjamin, Willow\"\ne114,2010/11/10,\"clementines, nectarines, pears, oranges\",\"chocolate milk, milk\",mouth wash,\ne116,2010/11/16,\"cherres, strawberries, bananas, pineapples\",\"soda, guava juice\",shampoo,\ne118,2010/11/28,apples,orange juice,mouth wash,\ne120,2010/12/07,\"pears, oranges\",\"mineral water, chocolate milk\",\"toilet paper, facial wash, paper towel\",\ne123,2010/12/17,\"apricots, blackberries, oranges, pears\",mango juice,paper towel,\ne124,2010/12/22,\"blackberries, strawberries\",\"orange juice, milk, apple juice, soda\",\"toilet paper, conditioner, body lotion, mouth wash\",\ne125,2010/12/29,\"strawberries, blueberries, apricots\",coffee,paper towel,\"Claire, Layla, Lydia\"\ne126,2010/12/31,\"apples, pineapples, cherres, peaches\",guava juice,\"body lotion, paper towel\",\"Kayden, Emily, Carter\"\ne1533,2011/01/16,peaches,\"tea, coffee\",body lotion,Willow\ne1535,2011/01/29,\"mangos, watermelons, blackberries, pineapples\",\"apple juice, mango juice\",\"toilet paper, conditioner\",\ne1536,2011/02/02,\"raspberries, watermelons, mandarins\",guava juice,\"shampoo, toilet paper, conditioner, toothpaste\",\ne1537,2011/02/08,\"apples, pineapples, strawberries, apricots\",sports drinks,\"facial wash, toilet paper, toothbrush\",\ne1541,2011/02/21,\"oranges, mangos, pineapples, cherres\",\"chocolate milk, guava juice\",\"mouthwash, mouth wash, facial wash\",\ne1543,2011/03/04,\"peaches, mandarins, watermelons\",sports drinks,\"shaving cream, mouth wash, mouthwash, shampoo\",\"Avery, Piper, Layla, Olivia\"\ne1545,2011/03/10,\"nectarines, watermelons, apricots\",\"mango juice, mineral water\",\"facial wash, toothbrush, mouthwash\",\"Nora, Nevaeh, Kinsley, Piper, Piper, Avery, Claire, Lydia, Eva\"\ne1549,2011/03/18,\"watermelons, nectarines, strawberries\",\"mango juice, coffee, apple juice, mineral water\",\"toothpaste, shaving cream, toilet paper\",\ne1550,2011/03/24,nectarines,pineapple juice,\"facial wash, paper towel, shampoo\",\"Emily, Andrew, Kayden\"\ne1552,2011/03/26,pineapples,\"pineapple juice, guava juice\",\"shaving cream, paper towel, toothpaste\",Andrew\ne1553,2011/03/30,\"strawberries, mangos, pears, pineapples\",\"mango juice, coffee\",\"mouthwash, facial wash\",\ne1557,2011/04/03,\"peaches, mandarins\",apple juice,\"body lotion, conditioner, shampoo, mouthwash\",\ne1558,2011/04/07,\"pears, nectarines\",apple juice,\"toilet paper, facial wash, paper towel\",\ne1561,2011/04/10,\"apricots, watermelons, peaches, oranges\",\"chocolate milk, tea, orange juice, apple juice\",\"conditioner, mouth wash, toilet paper\",\ne1562,2011/04/12,peaches,sports drinks,\"toothpaste, toilet paper, mouth wash, facial wash\",\"Emily, Carter, Kayden\"\ne1564,2011/04/22,strawberries,\"milk, mineral water\",\"body lotion, conditioner, mouth wash\",\ne1567,2011/04/23,\"strawberries, apricots, peaches, blueberries\",\"pineapple juice, soda\",\"facial wash, body lotion, shampoo\",\"Jackson, Benjamin, Willow\"\ne1568,2011/04/27,\"guava, watermelons, pineapples\",chocolate milk,\"toothpaste, mouth wash\",\"Emily, Kayden, Carter\"\ne1571,2011/05/09,\"bananas, nectarines, clementines\",\"coffee, mineral water, guava juice\",\"toothbrush, toilet paper\",Kayden\ne1573,2011/05/18,\"peaches, guava\",\"apple juice, mango juice, tea\",body lotion,\ne1577,2011/05/29,\"oranges, nectarines, pears\",\"coffee, mango juice\",\"mouthwash, toothbrush, shaving cream\",\"Eva, Hazel\"\ne1579,2011/06/06,\"apples, peaches, bananas, blueberries\",\"coffee, soda, orange juice\",toothbrush,\ne1582,2011/06/11,apricots,\"coffee, mango juice, mineral water\",\"mouthwash, toothbrush\",\"Kayden, Emily\"\ne1583,2011/06/14,\"cherres, apricots\",\"mango juice, guava juice, tea\",\"facial wash, toothpaste\",\ne1584,2011/06/18,\"bananas, apples\",\"soda, mineral water\",\"toothpaste, body lotion, toilet paper\",\ne1585,2011/06/24,\"mangos, strawberries, pineapples, apricots\",\"apple juice, coffee, pineapple juice\",\"toothpaste, facial wash\",\ne1588,2011/06/30,\"strawberries, clementines, oranges\",\"mineral water, sports drinks, tea\",\"facial wash, toilet paper, mouthwash\",\ne1592,2011/07/04,\"apples, mangos, guava\",\"guava juice, tea\",\"body lotion, facial wash, toilet paper\",\ne1593,2011/07/06,\"mandarins, oranges, cherres\",\"orange juice, mineral water, guava juice\",\"shaving cream, toilet paper, body lotion, conditioner\",\"Avery, Layla, Hazel, Olivia, Claire\"\ne1595,2011/07/12,\"watermelons, strawberries, mandarins\",\"guava juice, mango juice\",mouthwash,\"Benjamin, Willow, Jackson, Avery\"\ne1599,2011/07/19,\"watermelons, mandarins, pineapples\",\"apple juice, guava juice\",\"body lotion, mouthwash, paper towel, shaving cream\",\"Avery, Benjamin, Willow\"\ne1602,2011/07/24,\"apricots, oranges\",soda,\"body lotion, mouth wash\",\ne1605,2011/08/01,\"watermelons, peaches, mandarins, oranges\",\"mineral water, pineapple juice, sports drinks\",\"mouthwash, conditioner, toothpaste, paper towel\",\"Layla, Rylee, Hazel, Kinsley, Olivia, Lydia\"\ne1609,2011/08/08,\"pears, pineapples\",\"mango juice, coffee, apple juice, tea\",\"shaving cream, toothpaste\",\"Andrew, Carter\"\ne1612,2011/08/15,\"guava, pears, watermelons\",\"tea, apple juice, guava juice, coffee\",\"paper towel, shampoo\",\ne1613,2011/08/23,raspberries,\"chocolate milk, pineapple juice, sports drinks, orange juice\",\"mouthwash, mouth wash\",\ne1616,2011/09/04,\"apples, apricots\",\"mineral water, sports drinks, mango juice, guava juice\",paper towel,\"Kinsley, Nevaeh, Rylee, Avery, Piper, Layla\"\ne1617,2011/09/07,\"guava, mandarins\",\"chocolate milk, guava juice, apple juice, milk\",mouth wash,Jackson\ne1619,2011/09/30,\"oranges, apricots\",\"milk, pineapple juice, apple juice\",\"shaving cream, toothpaste, facial wash, mouthwash\",\ne1622,2011/10/13,\"pineapples, guava, mangos\",\"sports drinks, pineapple juice\",\"facial wash, toilet paper\",\"Andrew, Kayden, Carter, Emily\"\ne1624,2011/10/19,\"mandarins, apricots\",\"chocolate milk, soda, milk\",\"conditioner, shampoo, shaving cream, paper towel\",\ne1628,2011/10/24,\"pineapples, guava, blackberries\",\"tea, milk\",\"mouth wash, shampoo, toothbrush\",\"Benjamin, Avery, Willow, Jackson\"\ne1629,2011/10/31,\"peaches, nectarines\",\"apple juice, mango juice, soda\",\"body lotion, facial wash, paper towel\",\ne1630,2011/11/05,\"watermelons, guava, blueberries, blackberries\",\"orange juice, pineapple juice\",\"toothbrush, shampoo, conditioner\",\ne1632,2011/11/17,\"blackberries, apricots, strawberries, blueberries\",\"soda, mango juice\",\"shampoo, mouthwash, paper towel\",\"Layla, Claire, Nora, Piper, Avery, Nevaeh, Hazel, Piper, Rylee, Olivia, Eva, Kinsley, Lydia\"\ne1634,2011/11/26,\"apricots, apples, mandarins, watermelons\",apple juice,\"conditioner, toothbrush, shaving cream\",\"Carter, Kayden\"\ne1635,2011/12/02,\"bananas, mandarins, pineapples, pears\",\"tea, pineapple juice\",\"mouthwash, facial wash\",\"Avery, Benjamin, Willow\"\ne1637,2011/12/04,\"blackberries, bananas, pineapples, apricots\",\"orange juice, apple juice, tea\",mouth wash,\ne1638,2011/12/09,watermelons,\"coffee, milk\",\"shaving cream, body lotion, mouth wash\",Carter\ne1641,2011/12/11,pears,\"mineral water, apple juice, coffee\",\"toothbrush, conditioner, shampoo, body lotion\",\"Lydia, Nora, Olivia, Rylee\"\ne1645,2011/12/18,pears,\"tea, mineral water, mango juice\",\"conditioner, toilet paper\",\ne1647,2011/12/25,\"raspberries, blueberries\",\"sports drinks, mango juice\",\"conditioner, paper towel, toothpaste, mouth wash\",\ne3068,2012/01/12,peaches,mineral water,\"shampoo, toothbrush, facial wash, shaving cream\",Hazel\ne3070,2012/01/17,\"nectarines, strawberries\",\"guava juice, coffee, apple juice, tea\",conditioner,\"Carter, Kayden, Emily\"\ne3072,2012/01/28,\"mangos, oranges, apples, peaches\",\"apple juice, coffee, mineral water\",\"mouthwash, toothpaste, conditioner, body lotion\",\"Andrew, Emily, Kayden, Carter\"\ne3075,2012/01/30,\"guava, cherres, strawberries, nectarines\",\"apple juice, soda, coffee\",paper towel,\"Andrew, Emily\"\ne3077,2012/02/06,\"mangos, oranges\",soda,\"toothpaste, shampoo, conditioner, body lotion\",\"Kinsley, Olivia, Piper, Rylee, Nora, Lydia\"\ne3078,2012/02/08,watermelons,\"tea, orange juice\",facial wash,\ne3080,2012/02/14,\"guava, apricots\",\"soda, pineapple juice\",\"body lotion, facial wash\",\ne3081,2012/02/16,\"bananas, blueberries, raspberries\",\"guava juice, pineapple juice\",mouth wash,\"Emily, Kayden, Andrew, Carter\"\ne3084,2012/02/25,peaches,\"milk, sports drinks\",toothpaste,\"Kayden, Emily, Andrew, Carter\"\ne3089,2012/02/28,\"clementines, oranges\",soda,\"shampoo, facial wash, body lotion\",\"Kayden, Carter, Andrew, Emily\"\ne3090,2012/03/02,\"blackberries, blueberries, strawberries\",\"mineral water, milk\",\"shampoo, mouthwash\",\"Hazel, Layla, Piper, Olivia, Eva, Avery, Nora\"\ne3093,2012/03/06,\"blueberries, strawberries, pears, apricots\",soda,\"mouth wash, conditioner, toothbrush\",\ne3094,2012/03/15,pears,\"chocolate milk, mango juice\",\"mouth wash, conditioner\",Kayden\ne3096,2012/03/21,\"clementines, mandarins\",coffee,shampoo,\ne3098,2012/03/25,\"nectarines, mangos, mandarins\",\"mineral water, soda\",\"shaving cream, mouthwash\",\"Piper, Avery, Claire\"\ne3099,2012/03/31,\"blueberries, clementines, watermelons\",\"coffee, pineapple juice, milk\",\"toothbrush, conditioner, toilet paper, paper towel\",\"Piper, Piper, Rylee, Avery, Layla, Hazel, Lydia, Kinsley, Eva, Nevaeh\"\ne3100,2012/04/07,\"clementines, raspberries, guava\",\"milk, chocolate milk, mineral water, guava juice\",toothbrush,\"Kayden, Andrew\"\ne3102,2012/05/06,\"blackberries, clementines\",\"tea, mango juice, sports drinks, apple juice\",\"conditioner, shaving cream, mouthwash, toilet paper\",\ne3103,2012/05/16,\"nectarines, raspberries\",\"orange juice, tea, chocolate milk\",\"facial wash, mouth wash, body lotion\",\"Piper, Nevaeh, Olivia, Avery, Lydia, Nora, Piper, Layla, Claire, Eva\"\ne3107,2012/05/31,\"apples, strawberries, nectarines, cherres\",orange juice,\"toothbrush, toilet paper\",Benjamin\ne3109,2012/06/04,\"blackberries, bananas\",\"pineapple juice, mineral water, coffee\",\"toothbrush, toothpaste\",\ne3110,2012/06/07,\"apples, bananas\",\"guava juice, soda, pineapple juice, coffee\",\"toilet paper, facial wash, toothbrush, mouth wash\",Nevaeh\ne3111,2012/06/16,\"cherres, apples, guava\",\"guava juice, tea\",\"facial wash, paper towel, toilet paper\",\ne3114,2012/06/17,\"nectarines, oranges, guava, mangos\",\"apple juice, sports drinks\",shampoo,\ne3115,2012/06/22,\"cherres, strawberries\",apple juice,\"toothpaste, shampoo, toilet paper\",\"Nora, Layla\"\ne3117,2012/06/26,mangos,soda,\"paper towel, shaving cream, facial wash\",\"Andrew, Emily, Carter, Kayden\"\ne3118,2012/06/27,\"blackberries, mangos, cherres, guava\",sports drinks,\"toothbrush, paper towel, mouth wash, conditioner\",\ne3122,2012/07/02,pears,\"pineapple juice, sports drinks\",\"mouthwash, shampoo, mouth wash\",\ne3123,2012/07/04,blueberries,\"soda, coffee\",\"facial wash, shaving cream\",Andrew\ne3126,2012/07/16,peaches,\"apple juice, orange juice\",\"mouth wash, shampoo\",\ne3128,2012/07/22,watermelons,\"apple juice, orange juice, mineral water, tea\",\"toothbrush, body lotion, toothpaste\",\ne3129,2012/07/28,\"apples, blackberries\",guava juice,\"toothpaste, shampoo, facial wash, body lotion\",\ne3131,2012/07/29,\"bananas, nectarines, apples\",chocolate milk,\"mouthwash, body lotion, shampoo, mouth wash\",\ne3132,2012/08/03,\"mandarins, clementines\",\"mango juice, coffee\",\"toilet paper, shaving cream, mouthwash, body lotion\",\"Kayden, Carter, Emily, Andrew\"\ne3133,2012/08/08,\"blueberries, apricots\",\"mineral water, mango juice, apple juice\",toothbrush,Carter\ne3138,2012/08/20,\"apples, cherres\",\"milk, sports drinks\",\"mouth wash, paper towel, facial wash\",\"Kayden, Andrew, Carter, Emily\"\ne3139,2012/08/24,\"pineapples, cherres, clementines, pears\",\"milk, orange juice\",\"toothbrush, paper towel, facial wash, conditioner\",Andrew\ne3142,2012/08/29,cherres,\"milk, pineapple juice, orange juice\",\"paper towel, toothpaste\",\"Willow, Benjamin, Jackson, Avery\"\ne3143,2012/09/10,\"raspberries, peaches, guava\",\"milk, soda\",\"facial wash, conditioner\",\"Andrew, Carter, Kayden\"\ne3147,2012/09/29,\"mangos, pears, pineapples, apricots\",\"tea, orange juice, soda, apple juice\",paper towel,\"Lydia, Piper, Kinsley, Avery\"\ne3149,2012/10/03,\"peaches, nectarines, raspberries\",mineral water,\"conditioner, toothpaste, mouth wash, shampoo\",\ne3150,2012/10/09,\"raspberries, apples\",\"orange juice, chocolate milk, apple juice, pineapple juice\",shampoo,\"Piper, Nora\"\ne3151,2012/10/11,\"apricots, raspberries, oranges\",\"milk, soda\",paper towel,\ne3152,2012/10/15,\"pineapples, apples, cherres, blueberries\",\"milk, mineral water, pineapple juice, coffee\",\"mouth wash, facial wash\",\"Carter, Andrew, Emily\"\ne3153,2012/10/19,\"nectarines, clementines, pears\",\"tea, sports drinks\",\"paper towel, toothpaste, facial wash, shampoo\",\"Lydia, Piper, Eva, Piper\"\ne3154,2012/10/22,raspberries,\"apple juice, tea, soda, mineral water\",\"toothpaste, toilet paper\",\ne3155,2012/10/26,\"blueberries, nectarines\",mango juice,\"shaving cream, conditioner, toilet paper\",\ne3159,2012/11/04,\"mandarins, raspberries, mangos\",\"chocolate milk, sports drinks\",\"shaving cream, mouth wash\",\ne3160,2012/11/07,\"apricots, pineapples, peaches, raspberries\",\"guava juice, sports drinks, soda, pineapple juice\",\"toothpaste, paper towel\",\"Andrew, Carter, Kayden\"\ne3162,2012/11/13,raspberries,\"sports drinks, chocolate milk\",\"toothpaste, mouthwash, mouth wash, shampoo\",\"Rylee, Claire, Piper, Nevaeh, Hazel, Lydia, Avery, Eva, Piper\"\ne3164,2012/11/22,\"apples, strawberries, pineapples\",\"apple juice, chocolate milk\",\"shampoo, mouth wash, facial wash, body lotion\",\"Carter, Emily, Kayden\"\ne3167,2012/11/25,\"clementines, blackberries, apples, blueberries\",\"mineral water, guava juice\",\"mouth wash, facial wash\",\"Jackson, Avery, Willow\"\ne3170,2012/12/08,\"oranges, mangos, strawberries\",\"mineral water, coffee, mango juice\",\"conditioner, paper towel, toothpaste\",\ne3172,2012/12/10,watermelons,\"milk, mango juice, soda, guava juice\",\"paper towel, toilet paper, shaving cream\",\ne3173,2012/12/12,\"raspberries, cherres, mangos\",\"tea, guava juice, apple juice, coffee\",toilet paper,\ne3175,2012/12/17,\"cherres, apples\",\"mineral water, tea\",\"mouthwash, toothpaste, conditioner, paper towel\",\"Jackson, Benjamin, Avery, Willow\"\ne3176,2012/12/21,pineapples,\"milk, guava juice\",\"toothpaste, shampoo, body lotion, mouthwash\",\"Willow, Jackson\"\ne4601,2013/01/01,\"peaches, clementines\",\"tea, milk, orange juice\",toothpaste,\ne4602,2013/01/06,\"blackberries, bananas, apricots\",\"guava juice, coffee\",\"shaving cream, toothpaste, conditioner\",\ne4610,2013/02/10,\"peaches, strawberries\",\"coffee, guava juice\",\"shaving cream, mouth wash\",\ne4612,2013/02/18,\"guava, raspberries, pineapples, watermelons\",\"orange juice, milk, chocolate milk\",\"toothbrush, paper towel, toilet paper, body lotion\",\ne4617,2013/03/14,\"clementines, pineapples, cherres\",\"chocolate milk, orange juice, apple juice, sports drinks\",toilet paper,\ne4618,2013/03/15,\"guava, watermelons, apricots\",\"mango juice, chocolate milk, sports drinks, milk\",\"mouthwash, shaving cream, conditioner, shampoo\",\ne4621,2013/03/21,\"mangos, raspberries, guava\",\"soda, orange juice\",shampoo,\"Emily, Kayden, Carter, Andrew\"\ne4622,2013/03/24,mandarins,tea,\"toothbrush, mouth wash\",\"Rylee, Lydia, Claire, Layla, Nevaeh, Olivia, Avery, Piper\"\ne4625,2013/03/30,watermelons,\"milk, guava juice, chocolate milk\",shaving cream,\"Emily, Kayden, Carter, Andrew\"\ne4627,2013/04/08,\"clementines, peaches, pineapples, guava\",\"apple juice, pineapple juice, tea\",\"conditioner, shampoo, mouthwash\",\ne4628,2013/04/10,\"blueberries, nectarines, raspberries\",\"pineapple juice, soda, milk\",\"toilet paper, shampoo\",\ne4629,2013/04/13,\"guava, pineapples\",apple juice,\"toothbrush, paper towel\",\"Avery, Benjamin\"\ne4631,2013/04/24,\"apples, raspberries, oranges, mandarins\",\"coffee, sports drinks\",mouthwash,\"Andrew, Emily, Kayden\"\ne4632,2013/04/28,\"guava, apples, pineapples, raspberries\",\"milk, soda, pineapple juice\",\"toothpaste, body lotion\",\ne4635,2013/05/06,\"strawberries, watermelons, cherres, guava\",\"pineapple juice, apple juice, tea\",\"toilet paper, toothpaste, conditioner\",\"Piper, Layla, Piper, Claire, Rylee, Eva, Nora\"\ne4636,2013/05/12,peaches,\"mineral water, orange juice, guava juice, chocolate milk\",\"body lotion, mouthwash, mouth wash, toothbrush\",\ne4641,2013/05/30,apples,\"soda, milk, mango juice\",\"paper towel, toothbrush\",\"Emily, Kayden, Andrew, Carter\"\ne4643,2013/06/08,\"blackberries, clementines, guava\",\"guava juice, apple juice\",toothpaste,Carter\ne4644,2013/06/17,peaches,\"milk, guava juice\",facial wash,\ne4646,2013/06/30,\"mangos, pears, nectarines\",\"pineapple juice, apple juice\",\"paper towel, toothbrush\",\ne4647,2013/07/04,cherres,\"mango juice, sports drinks, orange juice\",body lotion,\ne4648,2013/07/05,apples,\"soda, sports drinks, apple juice, orange juice\",toothpaste,\"Emily, Kayden, Andrew, Carter\"\ne4651,2013/07/19,\"nectarines, blackberries\",chocolate milk,\"toothpaste, facial wash\",\ne4652,2013/07/25,\"blackberries, pears, watermelons, peaches\",\"chocolate milk, mineral water, milk, tea\",paper towel,\ne4653,2013/07/29,\"peaches, watermelons\",\"guava juice, apple juice\",\"mouthwash, toilet paper, paper towel, toothpaste\",\ne4657,2013/07/30,oranges,\"orange juice, tea\",\"shampoo, body lotion\",\"Kinsley, Olivia, Hazel, Piper, Avery, Lydia, Layla, Rylee, Nora, Piper, Eva\"\ne4658,2013/08/03,\"apricots, apples, pineapples, watermelons\",\"tea, milk\",\"mouthwash, body lotion\",\ne4661,2013/08/10,apples,\"guava juice, mango juice\",\"body lotion, shampoo, shaving cream, toothpaste\",\ne4663,2013/08/17,\"raspberries, mangos, bananas, guava\",soda,\"toothpaste, body lotion\",\ne4664,2013/08/23,\"bananas, guava, nectarines\",\"sports drinks, soda, apple juice, chocolate milk\",toilet paper,\ne4669,2013/09/22,\"oranges, peaches\",\"pineapple juice, guava juice, orange juice\",\"body lotion, shampoo\",\ne4671,2013/10/01,\"oranges, guava\",guava juice,\"facial wash, shampoo, mouth wash, toothbrush\",\ne4672,2013/10/09,\"cherres, apricots, oranges\",\"apple juice, orange juice\",\"conditioner, mouthwash, toilet paper\",\ne4676,2013/10/22,\"mandarins, strawberries, pineapples\",\"guava juice, milk, tea\",\"paper towel, mouth wash\",\"Carter, Emily, Kayden, Andrew\"\ne4677,2013/10/27,\"cherres, mangos, apples, watermelons\",\"apple juice, pineapple juice, mineral water, coffee\",toothpaste,\"Kinsley, Hazel, Avery, Nora, Rylee, Layla\"\ne4680,2013/11/04,\"mangos, pears, cherres\",guava juice,\"toothpaste, facial wash, shaving cream, shampoo\",\"Benjamin, Jackson, Willow, Avery\"\ne4683,2013/11/13,\"nectarines, bananas, blueberries\",\"chocolate milk, mineral water, mango juice\",\"body lotion, mouth wash, shampoo\",\ne4684,2013/11/18,\"mangos, oranges\",\"guava juice, mineral water, tea\",\"body lotion, paper towel, toothpaste, mouthwash\",\ne4687,2013/11/19,\"pineapples, apples, peaches\",\"tea, apple juice, milk\",shaving cream,\"Willow, Benjamin, Jackson, Avery\"\ne4688,2013/11/25,blackberries,\"pineapple juice, coffee, tea\",mouth wash,\ne4690,2013/11/28,\"cherres, guava\",mineral water,shampoo,\"Willow, Benjamin, Jackson, Avery\"\ne4691,2013/12/01,\"nectarines, bananas\",\"mango juice, mineral water\",shampoo,\ne4694,2013/12/13,\"pears, apples\",pineapple juice,\"toothbrush, toilet paper, conditioner\",\ne4695,2013/12/20,\"mandarins, raspberries\",\"pineapple juice, coffee\",\"facial wash, body lotion, toothbrush\",Emily\ne4698,2013/12/26,\"apples, oranges\",\"sports drinks, apple juice, mango juice, tea\",toothbrush,Andrew\ne4699,2013/12/28,\"blackberries, pineapples, mandarins, apricots\",guava juice,\"toothpaste, facial wash, shampoo\",\"Rylee, Kinsley, Avery, Claire, Eva, Nevaeh, Nora\"\ne6061,2014/01/07,mangos,\"mango juice, sports drinks, chocolate milk\",\"conditioner, shampoo, paper towel, body lotion\",\"Emily, Andrew, Carter, Kayden\"\ne6065,2014/01/16,\"blackberries, bananas\",\"pineapple juice, tea, mango juice\",\"shampoo, toothbrush\",\"Andrew, Emily, Kayden\"\ne6066,2014/01/18,\"oranges, bananas, apricots, strawberries\",guava juice,\"toothpaste, conditioner, paper towel, facial wash\",\"Jackson, Willow, Benjamin\"\ne6069,2014/01/29,\"watermelons, strawberries\",\"mango juice, guava juice, pineapple juice, sports drinks\",\"body lotion, toothpaste\",\"Eva, Nevaeh, Lydia, Nora, Hazel, Piper, Olivia\"\ne6071,2014/02/09,\"raspberries, apricots, pineapples\",mango juice,\"toilet paper, mouthwash\",\ne6074,2014/02/12,\"blueberries, blackberries, mandarins\",chocolate milk,\"paper towel, mouth wash, toilet paper\",\"Kayden, Emily, Carter\"\ne6075,2014/02/17,guava,\"pineapple juice, orange juice, guava juice, tea\",facial wash,\ne6080,2014/02/26,bananas,\"guava juice, pineapple juice\",toothbrush,\"Carter, Kayden, Emily\"\ne6083,2014/03/12,\"oranges, apricots, peaches, blackberries\",\"coffee, tea, pineapple juice, milk\",\"facial wash, mouthwash, shaving cream, mouth wash\",\ne6084,2014/03/16,\"mandarins, blackberries, oranges, raspberries\",\"soda, milk, chocolate milk, sports drinks\",\"toothpaste, conditioner, mouth wash, toothbrush\",\ne6087,2014/03/20,\"cherres, strawberries\",coffee,\"body lotion, mouth wash, toothpaste, shampoo\",\ne6088,2014/03/23,mangos,\"soda, guava juice, sports drinks\",\"shaving cream, toothpaste, mouthwash, facial wash\",\ne6092,2014/04/04,\"oranges, blueberries, strawberries, cherres\",\"chocolate milk, milk, apple juice\",mouth wash,\"Kayden, Carter, Emily\"\ne6094,2014/04/10,bananas,\"coffee, chocolate milk, tea, apple juice\",\"toothbrush, paper towel\",Emily\ne6096,2014/04/16,\"apricots, guava, peaches, watermelons\",apple juice,\"toothpaste, paper towel, shaving cream, toilet paper\",Willow\ne6098,2014/04/27,\"bananas, guava\",\"sports drinks, chocolate milk, pineapple juice, mineral water\",\"shampoo, facial wash, mouthwash, toilet paper\",\"Emily, Andrew, Kayden\"\ne6101,2014/05/08,\"watermelons, mandarins, guava\",\"soda, orange juice, mango juice\",\"paper towel, toilet paper, shampoo, shaving cream\",\ne6102,2014/05/10,oranges,\"mineral water, orange juice, soda\",\"shaving cream, toothpaste, paper towel, conditioner\",\ne6105,2014/05/18,\"pineapples, peaches, clementines\",apple juice,\"mouth wash, mouthwash, conditioner, toilet paper\",\"Piper, Nora, Kinsley, Piper, Hazel, Lydia, Avery\"\ne6107,2014/05/26,\"apples, strawberries\",\"guava juice, tea, pineapple juice\",\"toothbrush, mouth wash\",Jackson\ne6108,2014/06/03,\"raspberries, oranges\",guava juice,conditioner,\ne6110,2014/06/04,\"mandarins, nectarines\",\"milk, tea\",\"paper towel, mouthwash, toothpaste\",\ne6113,2014/06/12,oranges,\"tea, chocolate milk, pineapple juice, mineral water\",\"toothpaste, mouth wash, facial wash\",\"Emily, Carter, Andrew\"\ne6117,2014/06/22,bananas,\"pineapple juice, chocolate milk, sports drinks, mango juice\",\"shaving cream, mouthwash, shampoo, paper towel\",\"Kayden, Carter, Andrew\"\ne6119,2014/06/28,\"mandarins, nectarines\",\"sports drinks, soda\",\"toothpaste, conditioner\",\ne6122,2014/07/05,oranges,\"tea, orange juice, apple juice\",\"body lotion, conditioner, shampoo, facial wash\",\"Kayden, Emily, Carter\"\ne6124,2014/07/11,\"nectarines, blackberries\",\"mango juice, milk, guava juice, chocolate milk\",\"shaving cream, conditioner\",\"Andrew, Carter, Emily, Kayden\"\ne6125,2014/07/21,\"mandarins, raspberries\",\"pineapple juice, sports drinks\",\"shaving cream, mouth wash, shampoo\",\ne6126,2014/07/24,strawberries,\"apple juice, tea, soda\",\"toothbrush, toothpaste, mouth wash, mouthwash\",\ne6127,2014/07/26,\"guava, pears, blueberries\",\"mango juice, mineral water, coffee\",shampoo,\ne6130,2014/08/09,\"watermelons, pineapples, bananas\",\"chocolate milk, pineapple juice, guava juice\",conditioner,\"Carter, Kayden\"\ne6135,2014/08/20,\"nectarines, peaches, guava, bananas\",\"tea, milk, mango juice\",shampoo,Avery\ne6136,2014/08/24,\"apples, watermelons\",\"milk, orange juice\",body lotion,\"Layla, Eva, Piper, Rylee, Hazel, Avery, Nora, Piper, Olivia, Nevaeh\"\ne6141,2014/09/15,mandarins,\"chocolate milk, orange juice, mineral water\",\"facial wash, shampoo, mouthwash\",\ne6144,2014/09/18,cherres,\"orange juice, coffee, mineral water\",\"facial wash, conditioner, toothbrush, toilet paper\",\"Benjamin, Jackson, Avery, Willow\"\ne6145,2014/09/21,\"mandarins, blackberries\",\"soda, mango juice\",\"mouth wash, facial wash\",\ne6147,2014/10/03,\"mangos, pears, watermelons\",\"mango juice, sports drinks, apple juice, mineral water\",\"mouth wash, conditioner\",\"Avery, Benjamin, Jackson, Willow\"\ne6148,2014/10/07,\"raspberries, blackberries\",\"orange juice, sports drinks, mineral water, soda\",\"toothpaste, body lotion\",\ne6150,2014/10/09,mandarins,\"apple juice, mango juice, chocolate milk\",\"toothpaste, paper towel, toilet paper, shaving cream\",\"Emily, Kayden, Carter\"\ne6151,2014/10/12,\"cherres, watermelons\",pineapple juice,\"shampoo, toothbrush, toothpaste\",\ne6153,2014/10/21,\"strawberries, blueberries, pineapples, mandarins\",\"mango juice, pineapple juice\",\"toilet paper, mouth wash, paper towel\",\ne6154,2014/10/24,\"clementines, mandarins\",\"mineral water, milk, sports drinks, soda\",\"mouth wash, shaving cream, toothbrush\",\ne6158,2014/11/01,\"apples, mandarins\",\"soda, chocolate milk, coffee\",conditioner,\ne6162,2014/11/17,\"oranges, raspberries\",pineapple juice,\"shampoo, conditioner\",\ne6164,2014/11/25,mangos,\"chocolate milk, mineral water, mango juice\",\"toothbrush, conditioner\",\"Jackson, Benjamin\"\ne6166,2014/12/02,\"clementines, cherres, apricots, blackberries\",\"pineapple juice, sports drinks, apple juice, coffee\",\"conditioner, paper towel, body lotion, mouth wash\",\"Carter, Andrew, Kayden, Emily\"\ne6169,2014/12/04,\"strawberries, blackberries, apricots, watermelons\",\"tea, mango juice\",\"mouthwash, shampoo\",Nora\ne6170,2014/12/08,\"mandarins, pineapples, raspberries\",\"guava juice, coffee, sports drinks, tea\",toothbrush,\ne6171,2014/12/11,\"clementines, raspberries\",\"soda, chocolate milk\",\"mouthwash, body lotion\",\ne6172,2014/12/15,\"blackberries, apples, pineapples\",\"coffee, mineral water\",facial wash,\ne6174,2014/12/22,strawberries,\"guava juice, mango juice, apple juice, coffee\",\"shampoo, toothbrush, mouthwash\",Carter\ne6175,2014/12/25,\"pineapples, watermelons, clementines\",\"chocolate milk, sports drinks, apple juice, orange juice\",\"paper towel, facial wash, shaving cream, shampoo\",\ne6176,2014/12/27,\"apricots, blueberries, peaches\",\"coffee, guava juice\",\"shaving cream, shampoo, facial wash\",\ne6178,2014/12/31,\"blueberries, clementines, oranges, bananas\",\"guava juice, soda, pineapple juice\",body lotion,\ne7599,2015/01/02,\"apples, mandarins\",sports drinks,\"toothbrush, paper towel, shampoo\",\ne7600,2015/01/06,\"strawberries, peaches, apples, watermelons\",milk,\"facial wash, mouth wash, body lotion\",\"Emily, Kayden, Andrew, Carter\"\ne7602,2015/01/09,\"apricots, nectarines, cherres, pineapples\",\"soda, mango juice, milk, pineapple juice\",mouth wash,\"Emily, Kayden, Andrew\"\ne7603,2015/01/12,\"pineapples, watermelons, clementines\",\"mango juice, apple juice\",facial wash,\ne7605,2015/01/16,mandarins,\"chocolate milk, milk, mineral water, mango juice\",\"body lotion, facial wash, shaving cream, conditioner\",\ne7606,2015/01/20,apricots,\"chocolate milk, mineral water\",\"body lotion, toothbrush, shaving cream\",\"Andrew, Emily\"\ne7611,2015/01/30,\"cherres, nectarines, watermelons\",\"coffee, apple juice, soda\",\"toothpaste, shampoo, conditioner\",\ne7612,2015/02/02,\"pineapples, blueberries\",\"coffee, chocolate milk, soda, orange juice\",\"shaving cream, mouth wash, toothpaste\",\ne7618,2015/02/15,\"nectarines, watermelons, blueberries\",\"guava juice, apple juice\",\"toilet paper, mouthwash\",\ne7621,2015/02/21,\"mandarins, blueberries\",chocolate milk,\"facial wash, toilet paper, shaving cream\",\ne7622,2015/02/22,\"apples, guava, watermelons, pears\",\"guava juice, pineapple juice, mineral water, sports drinks\",\"mouthwash, paper towel\",\"Avery, Rylee, Piper\"\ne7625,2015/02/28,\"blackberries, bananas, cherres\",\"mango juice, sports drinks, tea, soda\",\"facial wash, mouthwash, toothpaste\",\ne7626,2015/03/03,\"pineapples, nectarines, mandarins\",\"mineral water, apple juice, mango juice\",\"shaving cream, mouthwash\",\"Andrew, Kayden, Carter, Emily\"\ne7629,2015/03/09,\"clementines, nectarines, watermelons\",\"coffee, soda, orange juice, milk\",\"conditioner, paper towel\",\ne7631,2015/03/14,\"apricots, mangos\",\"orange juice, coffee, chocolate milk\",\"body lotion, toothbrush, shaving cream, toothpaste\",Claire\ne7632,2015/03/16,raspberries,\"tea, mango juice\",\"facial wash, mouth wash\",\ne7634,2015/03/20,\"peaches, clementines, watermelons\",\"milk, mineral water, guava juice\",\"facial wash, paper towel, mouthwash, shaving cream\",\ne7638,2015/03/26,\"peaches, pineapples, nectarines\",\"tea, orange juice\",\"toilet paper, mouth wash, shampoo\",\"Avery, Piper, Nevaeh, Hazel, Claire, Rylee, Eva, Olivia, Layla, Nora\"\ne7639,2015/03/29,blueberries,\"guava juice, milk, chocolate milk, apple juice\",\"conditioner, shampoo, mouth wash, toilet paper\",\"Emily, Carter\"\ne7642,2015/04/13,\"apples, oranges\",\"soda, guava juice, orange juice, mango juice\",\"toothbrush, toothpaste, mouth wash\",\ne7643,2015/04/16,\"blackberries, peaches\",apple juice,paper towel,\"Benjamin, Willow\"\ne7645,2015/04/25,\"guava, nectarines, apples\",\"apple juice, milk\",\"toothbrush, toilet paper\",\ne7648,2015/05/06,\"blueberries, apples, mangos\",\"guava juice, pineapple juice\",\"toothpaste, mouthwash\",\"Hazel, Piper, Eva, Lydia, Piper, Nevaeh, Avery, Layla, Rylee, Nora, Kinsley, Olivia, Claire\"\ne7650,2015/05/09,\"clementines, nectarines, cherres, guava\",\"soda, chocolate milk\",\"toilet paper, mouth wash\",\ne7651,2015/05/10,\"mangos, strawberries\",\"milk, mango juice, apple juice\",\"toothpaste, toothbrush, toilet paper\",\"Jackson, Benjamin\"\ne7655,2015/05/15,\"clementines, pears, cherres\",\"mango juice, coffee\",\"shampoo, toothpaste, paper towel\",\"Emily, Kayden, Carter\"\ne7656,2015/05/20,peaches,tea,mouthwash,\ne7660,2015/05/27,\"clementines, strawberries\",\"mango juice, pineapple juice\",\"mouth wash, paper towel\",Kayden\ne7662,2015/06/19,\"pineapples, blackberries, watermelons\",mango juice,\"shaving cream, body lotion, mouthwash\",\"Lydia, Eva, Olivia, Kinsley, Nevaeh, Rylee, Piper, Nora, Hazel, Avery, Layla, Piper, Claire\"\ne7663,2015/06/24,\"mandarins, nectarines\",coffee,\"shaving cream, mouth wash\",\ne7667,2015/06/25,\"mandarins, nectarines, pineapples, cherres\",\"tea, mineral water\",\"shampoo, mouth wash\",\"Jackson, Benjamin, Willow, Avery\"\ne7668,2015/06/29,raspberries,\"apple juice, pineapple juice, guava juice, sports drinks\",\"toothpaste, conditioner, toothbrush, toilet paper\",\"Piper, Layla, Kinsley\"\ne7669,2015/07/06,\"blackberries, clementines\",\"tea, guava juice\",\"toilet paper, facial wash\",\ne7672,2015/07/10,oranges,\"apple juice, orange juice, pineapple juice\",\"facial wash, conditioner, paper towel\",\"Lydia, Layla, Avery, Piper, Nora, Claire, Eva, Kinsley, Rylee, Nevaeh, Olivia, Hazel\"\ne7675,2015/07/25,\"pears, apricots\",\"guava juice, pineapple juice, orange juice, coffee\",\"toothpaste, paper towel, toothbrush, facial wash\",\ne7677,2015/08/03,pears,milk,\"toothbrush, mouth wash, body lotion, toothpaste\",\"Rylee, Olivia, Kinsley, Claire, Lydia\"\ne7678,2015/08/08,\"apricots, mandarins, strawberries, nectarines\",\"pineapple juice, coffee, mineral water\",toothpaste,\"Jackson, Benjamin, Willow\"\ne7679,2015/08/11,bananas,\"apple juice, milk, pineapple juice, soda\",\"mouthwash, facial wash\",\ne7681,2015/08/13,raspberries,\"sports drinks, guava juice, coffee\",\"facial wash, paper towel\",\ne7682,2015/08/16,\"oranges, bananas, peaches, pears\",\"chocolate milk, pineapple juice, sports drinks\",\"mouthwash, paper towel\",\ne7684,2015/08/25,\"guava, bananas, mandarins, raspberries\",mango juice,\"paper towel, mouth wash, conditioner, shampoo\",\ne7685,2015/08/27,blueberries,\"guava juice, mineral water, sports drinks\",toothpaste,\"Piper, Piper, Rylee\"\ne7686,2015/09/02,\"apricots, watermelons, bananas\",\"coffee, pineapple juice, mango juice\",\"shaving cream, mouth wash, toilet paper\",\"Kayden, Andrew, Emily\"\ne7691,2015/09/13,\"apricots, guava, raspberries\",\"guava juice, coffee\",\"toothpaste, body lotion\",\"Kayden, Emily, Andrew\"\ne7695,2015/09/24,\"guava, blackberries, apples, raspberries\",\"coffee, sports drinks\",toothbrush,\"Nevaeh, Claire, Lydia, Layla\"\ne7699,2015/10/01,\"nectarines, clementines, cherres, pears\",sports drinks,\"toilet paper, body lotion\",\ne7700,2015/10/07,\"blackberries, mangos\",\"sports drinks, orange juice\",shaving cream,\ne7702,2015/10/10,\"nectarines, strawberries, watermelons, apples\",coffee,\"shaving cream, body lotion\",\"Andrew, Kayden\"\ne7704,2015/10/20,\"peaches, raspberries, watermelons, pears\",\"apple juice, mineral water\",\"body lotion, toothpaste\",\ne7707,2015/11/03,oranges,\"tea, coffee\",\"conditioner, shaving cream\",Emily\ne7708,2015/11/08,\"nectarines, pears, apples, blackberries\",\"orange juice, sports drinks, pineapple juice\",\"body lotion, shampoo\",\"Piper, Rylee, Claire, Nora, Kinsley, Olivia, Piper, Eva, Lydia, Nevaeh, Avery\"\ne7712,2015/11/13,apples,\"apple juice, milk, chocolate milk, coffee\",mouthwash,\ne7713,2015/11/21,\"blackberries, peaches\",mango juice,paper towel,\"Nevaeh, Nora, Kinsley, Olivia, Avery, Claire, Layla, Hazel, Rylee, Lydia, Piper, Piper, Eva\"\ne7716,2015/11/28,\"raspberries, peaches, watermelons\",\"orange juice, sports drinks, apple juice, guava juice\",\"toilet paper, conditioner, paper towel\",\"Claire, Kinsley, Eva, Layla, Nevaeh\"\ne7717,2015/12/02,\"apples, oranges, pineapples, guava\",\"soda, mineral water, tea, mango juice\",facial wash,\ne7720,2015/12/04,pears,sports drinks,\"conditioner, mouthwash\",\ne7721,2015/12/06,\"pineapples, apricots\",\"coffee, soda\",facial wash,\ne7722,2015/12/10,apricots,\"guava juice, orange juice, chocolate milk\",mouth wash,\"Piper, Hazel, Claire, Lydia\"\ne7723,2015/12/13,\"peaches, raspberries\",\"chocolate milk, soda, orange juice\",\"shaving cream, facial wash, toothpaste, toothbrush\",\ne7726,2015/12/19,\"watermelons, apricots, pears, strawberries\",\"tea, mineral water\",\"mouth wash, toilet paper, facial wash, body lotion\",\ne7727,2015/12/21,\"blackberries, raspberries\",\"soda, milk, tea\",\"shampoo, toilet paper, mouthwash, mouth wash\",\ne7730,2015/12/26,\"strawberries, nectarines, blueberries, mangos\",\"mango juice, pineapple juice, milk, chocolate milk\",\"shaving cream, toothbrush\",\ne7731,2015/12/27,\"oranges, raspberries\",mineral water,\"paper towel, body lotion, facial wash\",\ne9111,2016/01/26,\"pears, mandarins, blackberries, mangos\",\"mango juice, mineral water, chocolate milk\",\"shampoo, toilet paper, mouth wash\",Kinsley\ne9113,2016/01/30,\"blueberries, cherres, clementines\",\"mineral water, soda, coffee\",\"toothpaste, toothbrush, shampoo, body lotion\",\ne9114,2016/02/02,\"mandarins, peaches, apricots\",\"chocolate milk, soda\",\"paper towel, toothbrush\",\ne9118,2016/02/07,\"blueberries, apricots, bananas, pineapples\",\"guava juice, chocolate milk\",toilet paper,\"Nora, Layla, Olivia, Kinsley, Hazel, Rylee, Avery, Lydia, Nevaeh, Piper, Claire, Eva, Piper\"\ne9121,2016/02/13,mandarins,chocolate milk,\"mouthwash, facial wash\",\"Kinsley, Nevaeh, Layla, Piper, Eva, Nora, Lydia, Rylee, Avery, Hazel, Olivia, Claire, Piper\"\ne9123,2016/02/23,\"nectarines, clementines\",\"mineral water, sports drinks, guava juice, chocolate milk\",\"mouthwash, toothbrush\",Carter\ne9125,2016/02/27,pineapples,mineral water,\"conditioner, shaving cream, mouthwash\",\"Andrew, Carter\"\ne9126,2016/03/02,peaches,chocolate milk,\"paper towel, facial wash, toilet paper, body lotion\",\ne9130,2016/03/08,clementines,mineral water,body lotion,\"Nora, Nevaeh, Hazel, Avery, Olivia, Piper, Rylee, Lydia, Claire\"\ne9133,2016/03/12,\"mangos, cherres, pears\",\"soda, tea, guava juice, coffee\",\"toothbrush, toothpaste\",\ne9134,2016/03/15,\"strawberries, pears\",\"sports drinks, chocolate milk\",toothpaste,\"Emily, Andrew\"\ne9141,2016/04/01,\"pineapples, guava, bananas\",\"milk, coffee, tea\",facial wash,\ne9143,2016/04/13,raspberries,\"coffee, tea, apple juice\",\"conditioner, toothbrush\",Emily\ne9144,2016/04/17,\"cherres, apricots\",\"guava juice, orange juice, coffee\",toothpaste,\ne9151,2016/05/19,\"cherres, guava, bananas\",\"apple juice, mineral water\",\"toothpaste, paper towel, toilet paper, toothbrush\",\"Avery, Willow, Benjamin, Jackson\"\ne9155,2016/05/26,\"blackberries, guava, blueberries, mandarins\",milk,body lotion,\ne9157,2016/05/27,\"nectarines, pears, guava\",\"mineral water, chocolate milk\",\"conditioner, toilet paper, facial wash, shaving cream\",\"Willow, Benjamin\"\ne9158,2016/06/01,\"bananas, cherres, oranges, blackberries\",\"mineral water, milk, orange juice, tea\",toothbrush,\ne9163,2016/06/21,\"nectarines, pears, raspberries, apricots\",\"mineral water, mango juice, orange juice, soda\",\"body lotion, mouth wash\",\ne9168,2016/06/28,\"pineapples, mangos, oranges, mandarins\",\"mango juice, mineral water\",\"toilet paper, body lotion, toothpaste\",\ne9171,2016/07/06,clementines,\"orange juice, chocolate milk, mango juice, apple juice\",toothpaste,\"Andrew, Carter\"\ne9176,2016/07/14,strawberries,\"sports drinks, coffee\",\"paper towel, toothbrush\",\ne9177,2016/07/15,\"blueberries, apples, raspberries, mandarins\",milk,\"conditioner, mouth wash, shaving cream, shampoo\",\"Andrew, Emily, Kayden\"\ne9178,2016/07/19,\"peaches, blueberries, apples, raspberries\",\"orange juice, apple juice\",\"shaving cream, paper towel, toothpaste, toilet paper\",\ne9182,2016/07/23,\"raspberries, peaches, watermelons\",coffee,mouth wash,\ne9183,2016/07/28,apples,\"pineapple juice, milk, chocolate milk, mango juice\",facial wash,\"Nevaeh, Eva, Kinsley, Hazel, Nora, Claire, Rylee, Olivia, Lydia, Layla, Piper\"\ne9184,2016/07/31,mandarins,\"chocolate milk, mango juice, soda\",toilet paper,\ne9185,2016/08/03,mangos,\"milk, orange juice\",toothbrush,\"Andrew, Kayden, Emily\"\ne9187,2016/08/08,\"guava, blueberries\",\"apple juice, mineral water, coffee, orange juice\",\"shaving cream, mouth wash, body lotion, toothbrush\",\ne9190,2016/08/15,apples,\"mineral water, guava juice\",\"mouthwash, facial wash, shaving cream\",\"Emily, Carter, Andrew, Kayden\"\ne9193,2016/08/30,\"pineapples, apples\",\"pineapple juice, sports drinks, milk, coffee\",conditioner,Emily\ne9195,2016/09/03,raspberries,\"mango juice, apple juice\",\"shaving cream, paper towel, conditioner, mouthwash\",\ne9196,2016/09/07,\"cherres, strawberries, raspberries, oranges\",\"apple juice, orange juice, coffee, guava juice\",\"paper towel, shampoo, mouth wash, toothbrush\",\ne9197,2016/09/14,\"pineapples, peaches\",\"orange juice, chocolate milk, guava juice\",\"shampoo, mouthwash, facial wash, toilet paper\",\ne9200,2016/09/20,\"blueberries, cherres\",sports drinks,body lotion,\ne9204,2016/10/02,watermelons,\"pineapple juice, sports drinks, apple juice\",mouthwash,\ne9205,2016/10/04,\"apricots, mandarins\",\"pineapple juice, apple juice, tea\",\"mouthwash, shaving cream, facial wash\",\ne9206,2016/10/08,\"mandarins, watermelons, blackberries\",\"coffee, orange juice\",\"toothbrush, shampoo\",\"Rylee, Olivia, Piper, Nora, Hazel, Lydia, Layla\"\ne9209,2016/10/26,\"raspberries, strawberries, watermelons\",\"sports drinks, apple juice, milk, chocolate milk\",\"shampoo, mouthwash, toothpaste, conditioner\",\"Carter, Kayden\"\ne9210,2016/10/28,\"strawberries, clementines, cherres\",coffee,\"shampoo, facial wash, toothpaste\",\"Benjamin, Jackson\"\ne9211,2016/10/31,pineapples,\"pineapple juice, chocolate milk\",paper towel,\ne9214,2016/11/06,cherres,\"orange juice, mineral water, coffee\",\"toilet paper, conditioner\",\ne9215,2016/11/07,\"pears, mangos, bananas, nectarines\",\"soda, coffee\",facial wash,\"Kayden, Andrew\"\ne9217,2016/11/19,\"watermelons, pineapples, mandarins\",\"apple juice, chocolate milk, soda\",toilet paper,\ne9219,2016/11/29,peaches,\"soda, coffee\",toothpaste,\ne9222,2016/12/02,\"cherres, mangos, strawberries, pineapples\",\"apple juice, milk, pineapple juice, mango juice\",mouthwash,\ne9223,2016/12/05,\"blackberries, raspberries, mandarins\",apple juice,\"mouthwash, shampoo, toothbrush\",\ne9225,2016/12/11,\"nectarines, mandarins, oranges\",\"pineapple juice, milk\",\"toothpaste, mouth wash, shaving cream, body lotion\",Emily\ne9226,2016/12/15,\"bananas, oranges\",\"apple juice, guava juice, mineral water, milk\",\"toilet paper, shampoo, mouthwash\",\ne9230,2016/12/17,\"peaches, pineapples\",apple juice,\"shaving cream, shampoo\",Kayden\ne10659,2017/01/04,apples,sports drinks,toothbrush,\"Claire, Nora\"\ne10663,2017/01/09,\"bananas, raspberries, apricots\",soda,\"body lotion, shampoo, mouth wash, conditioner\",Emily\ne10664,2017/01/14,\"apricots, peaches\",\"mineral water, milk\",facial wash,\ne10666,2017/01/19,watermelons,pineapple juice,\"conditioner, mouth wash, toothbrush, toothpaste\",\ne10668,2017/01/25,\"mandarins, guava, clementines\",chocolate milk,\"conditioner, mouthwash, paper towel\",\"Benjamin, Willow\"\ne10671,2017/01/30,\"peaches, bananas, cherres, watermelons\",\"sports drinks, guava juice, tea\",\"toothpaste, paper towel, mouth wash\",\ne10676,2017/02/08,apricots,\"chocolate milk, apple juice, soda\",\"body lotion, mouthwash\",\ne10680,2017/02/12,\"peaches, mangos, raspberries, cherres\",\"pineapple juice, tea, chocolate milk, sports drinks\",\"toothbrush, shaving cream, mouth wash, facial wash\",\ne10681,2017/02/17,\"apples, guava, pears, blackberries\",\"sports drinks, orange juice, guava juice\",conditioner,\ne10683,2017/02/20,\"pineapples, guava, clementines, strawberries\",\"apple juice, guava juice, milk\",\"shampoo, toilet paper, toothpaste, mouth wash\",\"Emily, Andrew\"\ne10684,2017/03/03,\"blackberries, bananas, cherres\",\"guava juice, chocolate milk\",paper towel,Carter\ne10686,2017/03/06,\"strawberries, nectarines, clementines, guava\",\"sports drinks, apple juice, coffee, tea\",\"shaving cream, mouth wash, toothpaste\",\"Rylee, Eva, Lydia, Nora, Hazel, Nevaeh, Piper, Piper\"\ne10687,2017/03/10,\"nectarines, blueberries, blackberries, strawberries\",\"tea, mango juice, apple juice\",\"mouth wash, mouthwash, toilet paper, facial wash\",\"Carter, Andrew, Kayden\"\ne10690,2017/03/18,raspberries,\"chocolate milk, milk, mango juice\",shaving cream,\"Carter, Kayden, Emily\"\ne10697,2017/04/04,\"bananas, blueberries, peaches\",\"tea, mineral water, coffee\",\"mouthwash, shampoo\",\"Emily, Andrew, Kayden, Carter\"\ne10698,2017/04/05,\"clementines, apples, cherres, blackberries\",\"milk, apple juice, tea\",\"mouthwash, body lotion, shaving cream\",\ne10700,2017/04/09,\"pineapples, blueberries, watermelons, peaches\",soda,\"mouth wash, mouthwash, shampoo\",\"Avery, Jackson\"\ne10703,2017/04/17,\"clementines, oranges, guava\",mango juice,\"body lotion, shampoo, paper towel, shaving cream\",\ne10705,2017/04/27,\"clementines, nectarines, oranges\",\"apple juice, guava juice\",\"facial wash, mouth wash, shampoo, paper towel\",\"Benjamin, Willow\"\ne10708,2017/05/05,\"mangos, oranges, watermelons, blueberries\",apple juice,\"mouthwash, facial wash, body lotion\",Willow\ne10712,2017/05/11,\"mandarins, pineapples\",\"apple juice, milk\",\"toothpaste, paper towel, shaving cream\",\ne10714,2017/05/27,\"apricots, pineapples, strawberries\",\"pineapple juice, mango juice, sports drinks\",\"facial wash, mouthwash, paper towel, toilet paper\",\"Nora, Avery, Piper, Nevaeh, Claire, Rylee, Hazel, Lydia, Kinsley, Olivia\"\ne10716,2017/06/03,pineapples,\"tea, coffee\",\"mouth wash, mouthwash\",\"Willow, Benjamin\"\ne10721,2017/06/12,mangos,tea,mouth wash,\ne10722,2017/06/15,\"mandarins, guava, clementines\",tea,mouth wash,Andrew\ne10723,2017/06/24,mandarins,guava juice,\"toothpaste, toothbrush\",\ne10724,2017/06/28,blackberries,milk,toothbrush,\ne10728,2017/07/03,\"nectarines, mangos, peaches, watermelons\",\"sports drinks, chocolate milk\",mouthwash,\ne10729,2017/07/05,\"bananas, oranges, apples, cherres\",\"tea, coffee\",\"mouthwash, body lotion, shampoo\",\ne10731,2017/07/10,\"bananas, oranges\",sports drinks,\"shaving cream, body lotion, toothpaste\",\"Hazel, Claire, Eva, Nora, Nevaeh, Avery, Rylee\"\ne10735,2017/07/26,\"nectarines, bananas, cherres\",\"soda, chocolate milk\",\"mouth wash, shampoo\",\ne10737,2017/08/02,\"apples, peaches, oranges, pears\",\"guava juice, tea\",shampoo,\ne10739,2017/08/09,raspberries,\"sports drinks, mango juice\",\"body lotion, shaving cream, mouthwash\",\ne10741,2017/08/14,strawberries,\"chocolate milk, orange juice, mango juice, sports drinks\",\"mouth wash, toothpaste, shaving cream\",Emily\ne10742,2017/08/19,nectarines,\"sports drinks, chocolate milk, apple juice, mango juice\",mouth wash,\ne10744,2017/08/20,\"apricots, strawberries, mandarins, raspberries\",milk,\"shampoo, paper towel, body lotion\",\ne10745,2017/08/25,\"pears, bananas\",orange juice,\"paper towel, conditioner, mouth wash\",\ne10746,2017/08/31,\"oranges, watermelons\",milk,mouth wash,\ne10748,2017/09/08,\"guava, watermelons\",\"mango juice, guava juice, chocolate milk, apple juice\",\"toothpaste, paper towel\",\ne10749,2017/09/11,\"raspberries, guava, pineapples, watermelons\",\"soda, guava juice, orange juice\",\"paper towel, mouthwash, toothpaste, body lotion\",\ne10750,2017/09/13,nectarines,\"soda, sports drinks, guava juice\",\"toilet paper, facial wash, mouth wash, toothpaste\",\"Jackson, Benjamin, Willow, Avery\"\ne10754,2017/10/01,\"watermelons, strawberries\",\"chocolate milk, soda, mineral water\",\"toothpaste, body lotion, mouthwash, paper towel\",Nevaeh\ne10755,2017/10/07,\"apricots, peaches\",\"tea, apple juice, sports drinks\",conditioner,\ne10758,2017/10/17,\"cherres, mangos, watermelons, clementines\",\"tea, orange juice\",shaving cream,\"Claire, Avery, Kinsley, Piper, Nora, Eva, Hazel, Rylee, Piper\"\ne10759,2017/10/19,\"oranges, raspberries\",chocolate milk,\"mouthwash, toilet paper, toothbrush\",Emily\ne10762,2017/10/27,\"guava, pears\",\"mineral water, orange juice\",\"shaving cream, mouthwash, toilet paper, paper towel\",\ne10763,2017/11/04,\"raspberries, pears, cherres\",sports drinks,\"mouthwash, conditioner\",\"Rylee, Avery, Hazel\"\ne10766,2017/11/08,\"nectarines, apples, raspberries\",\"guava juice, coffee, soda\",conditioner,\"Kayden, Carter, Emily, Andrew\"\ne10769,2017/11/14,\"watermelons, cherres, guava, strawberries\",\"coffee, sports drinks\",\"shaving cream, facial wash, conditioner\",\"Emily, Andrew\"\ne10773,2017/11/20,\"mangos, blackberries, mandarins, apples\",\"pineapple juice, apple juice\",toothpaste,\"Rylee, Nora, Lydia, Claire, Piper, Avery\"\ne10774,2017/12/01,\"apricots, guava\",\"chocolate milk, mineral water, milk, soda\",\"mouthwash, shampoo\",\ne10776,2017/12/05,mangos,\"sports drinks, coffee\",\"shampoo, shaving cream\",\ne10778,2017/12/12,\"guava, apples\",\"mango juice, pineapple juice, guava juice, milk\",\"facial wash, toilet paper, conditioner, toothbrush\",\"Piper, Nevaeh, Lydia\"\ne12170,2018/01/10,\"apples, apricots, clementines, pears\",pineapple juice,\"mouth wash, shaving cream\",\"Emily, Andrew, Carter\"\ne12172,2018/01/16,\"blackberries, mangos, apricots\",\"tea, chocolate milk, soda, mango juice\",\"conditioner, toilet paper, shampoo\",Andrew\ne12173,2018/01/21,\"guava, clementines, pears\",\"sports drinks, soda\",\"toothpaste, body lotion, conditioner, paper towel\",\ne12175,2018/01/26,nectarines,\"guava juice, milk, mineral water, sports drinks\",\"conditioner, toothpaste, mouth wash\",\ne12176,2018/01/29,\"guava, peaches, blackberries, mangos\",\"chocolate milk, apple juice, orange juice\",\"paper towel, facial wash, shaving cream\",\"Carter, Emily, Andrew\"\ne12179,2018/02/05,\"oranges, nectarines, apricots\",\"mango juice, mineral water, tea, pineapple juice\",\"conditioner, toothpaste, shampoo, facial wash\",\"Benjamin, Jackson\"\ne12180,2018/02/11,\"blueberries, guava, apricots, raspberries\",\"guava juice, mineral water, sports drinks, coffee\",\"mouth wash, body lotion\",\ne12182,2018/02/15,\"apples, raspberries\",chocolate milk,body lotion,\ne12184,2018/02/23,\"apricots, bananas\",\"pineapple juice, soda\",toothpaste,\ne12186,2018/02/28,blackberries,\"apple juice, coffee, mineral water, mango juice\",\"facial wash, conditioner, toilet paper, body lotion\",\"Kayden, Emily, Andrew, Carter\"\ne12189,2018/03/06,\"blueberries, pears\",\"mineral water, milk\",\"toothpaste, mouthwash, shaving cream\",\ne12190,2018/03/11,\"clementines, mangos, peaches\",\"orange juice, mineral water, apple juice, milk\",toothbrush,\"Carter, Kayden, Emily\"\ne12193,2018/03/15,\"watermelons, pineapples, mangos\",\"pineapple juice, mango juice, sports drinks\",\"body lotion, conditioner, facial wash, paper towel\",\"Kayden, Carter\"\ne12196,2018/03/21,\"blackberries, apples\",chocolate milk,\"mouth wash, body lotion, mouthwash\",\ne12198,2018/03/31,\"blackberries, bananas, mangos, apples\",apple juice,\"paper towel, toilet paper, mouth wash, conditioner\",\"Carter, Emily\"\ne12200,2018/04/02,mangos,\"mineral water, chocolate milk, tea, milk\",\"body lotion, toilet paper, facial wash, toothpaste\",\ne12201,2018/04/05,\"nectarines, blueberries, pears, cherres\",sports drinks,body lotion,\"Willow, Avery, Jackson\"\ne12202,2018/04/12,mandarins,\"mango juice, tea\",body lotion,\ne12204,2018/05/06,peaches,\"apple juice, orange juice, milk\",toothbrush,\ne12206,2018/05/10,\"clementines, watermelons\",\"coffee, soda, milk\",\"toilet paper, shaving cream, mouth wash, shampoo\",\ne12210,2018/05/27,cherres,\"apple juice, milk, sports drinks\",toothbrush,\ne12212,2018/05/30,\"cherres, apples\",pineapple juice,\"paper towel, shaving cream\",Andrew\ne12213,2018/06/01,pineapples,\"pineapple juice, guava juice, soda, orange juice\",\"shaving cream, paper towel\",\ne12216,2018/06/04,\"oranges, apples, apricots, blackberries\",\"apple juice, orange juice\",paper towel,\"Avery, Willow, Benjamin, Jackson\"\ne12217,2018/06/10,\"strawberries, watermelons, bananas\",\"coffee, mineral water, milk, chocolate milk\",\"shampoo, mouth wash, shaving cream, toothbrush\",\ne12219,2018/06/16,\"mandarins, mangos, apricots, bananas\",\"soda, apple juice\",\"paper towel, mouthwash, toothpaste\",\ne12220,2018/06/20,strawberries,sports drinks,shaving cream,\ne12221,2018/06/23,\"raspberries, pears, oranges, clementines\",orange juice,\"toilet paper, shaving cream, mouthwash\",\"Andrew, Kayden, Carter\"\ne12224,2018/06/26,\"oranges, guava, apricots\",\"guava juice, mineral water\",\"paper towel, body lotion\",\ne12225,2018/07/07,\"pineapples, raspberries, strawberries\",\"soda, apple juice, milk\",toothbrush,Emily\ne12230,2018/07/17,\"strawberries, mandarins, pineapples, guava\",\"soda, orange juice, guava juice, coffee\",\"shampoo, conditioner\",\"Kayden, Andrew, Carter\"\ne12231,2018/07/19,\"oranges, watermelons, apricots\",\"soda, orange juice, sports drinks\",\"toothpaste, mouthwash\",\"Layla, Piper, Lydia, Nora, Rylee, Olivia\"\ne12232,2018/07/25,\"pears, apples, pineapples\",guava juice,body lotion,\ne12233,2018/07/26,\"strawberries, apples\",\"orange juice, apple juice\",\"mouthwash, facial wash, toothpaste, shaving cream\",\ne12235,2018/08/07,\"pears, bananas, guava, cherres\",\"tea, soda\",shampoo,\"Nora, Layla, Avery, Lydia, Eva, Olivia, Nevaeh, Rylee, Piper, Claire, Piper, Hazel, Kinsley\"\ne12238,2018/08/15,\"peaches, guava, pineapples\",\"apple juice, orange juice, coffee\",\"mouth wash, facial wash\",\ne12239,2018/08/19,\"bananas, pineapples, guava, apples\",\"apple juice, chocolate milk\",conditioner,\ne12240,2018/08/22,oranges,\"pineapple juice, tea\",\"paper towel, facial wash, shampoo, shaving cream\",\"Kinsley, Lydia, Claire, Avery, Layla, Nevaeh, Hazel, Olivia\"\ne12241,2018/08/23,\"strawberries, mandarins, apples, oranges\",\"soda, sports drinks, milk, pineapple juice\",\"shampoo, facial wash\",\ne12243,2018/08/27,\"oranges, strawberries, raspberries\",\"sports drinks, soda, tea\",facial wash,\"Hazel, Nevaeh, Rylee, Layla\"\ne12244,2018/09/01,\"mandarins, bananas\",coffee,conditioner,\ne12246,2018/09/09,\"mangos, mandarins, oranges, blueberries\",mineral water,\"facial wash, conditioner, mouth wash\",\ne12248,2018/09/14,\"peaches, blueberries, raspberries\",orange juice,\"toilet paper, shaving cream, mouth wash\",\ne12251,2018/09/23,\"watermelons, pears, pineapples\",\"chocolate milk, sports drinks, soda, apple juice\",\"mouth wash, toothpaste\",\"Emily, Andrew, Kayden, Carter\"\ne12254,2018/10/02,peaches,\"apple juice, pineapple juice, orange juice\",paper towel,Andrew\ne12255,2018/10/05,\"mangos, peaches, pineapples, bananas\",\"tea, guava juice\",\"body lotion, toothpaste, toothbrush, shaving cream\",Olivia\ne12259,2018/10/08,\"guava, apples, clementines, peaches\",pineapple juice,facial wash,\ne12262,2018/10/15,\"blackberries, clementines\",\"mango juice, mineral water\",paper towel,\"Nora, Avery\"\ne12263,2018/10/20,\"apricots, nectarines\",\"coffee, tea, pineapple juice\",\"toothpaste, mouth wash, toothbrush, toilet paper\",\ne12266,2018/11/01,\"mangos, raspberries, blueberries, cherres\",\"soda, coffee, sports drinks, milk\",toilet paper,\ne12269,2018/11/10,raspberries,\"chocolate milk, orange juice, sports drinks, milk\",\"toothpaste, body lotion, toilet paper\",\"Hazel, Piper, Kinsley, Nora\"\ne12271,2018/11/16,\"cherres, pineapples\",\"chocolate milk, soda, milk\",mouthwash,\"Kayden, Carter, Emily\"\ne12274,2018/11/20,\"pineapples, watermelons, pears, bananas\",\"soda, sports drinks\",\"shampoo, conditioner\",\"Kinsley, Hazel, Layla\"\ne12275,2018/11/25,\"bananas, strawberries, watermelons\",mango juice,\"mouthwash, conditioner, body lotion, toothpaste\",\"Nora, Eva, Hazel, Rylee, Nevaeh, Lydia, Claire, Layla, Piper\"\ne12277,2018/11/28,\"peaches, raspberries, nectarines\",\"guava juice, soda, sports drinks\",\"shaving cream, mouth wash, toilet paper\",\ne12278,2018/11/29,apples,\"milk, orange juice, mango juice, chocolate milk\",\"paper towel, mouthwash, toilet paper, body lotion\",\"Piper, Olivia, Piper, Kinsley, Rylee, Nevaeh, Hazel, Avery, Layla, Eva, Nora\"\ne12280,2018/12/09,\"pineapples, raspberries, peaches, cherres\",\"apple juice, tea, orange juice\",\"toothbrush, body lotion, toilet paper\",\ne12281,2018/12/20,\"pears, watermelons, mangos, guava\",\"orange juice, coffee\",shampoo,\"Kinsley, Hazel, Nevaeh\"\ne13646,2019/01/06,\"blueberries, pineapples\",\"guava juice, chocolate milk, milk, soda\",\"toilet paper, toothbrush, mouth wash, shaving cream\",\ne13649,2019/01/08,\"mandarins, guava, peaches\",\"mango juice, mineral water, chocolate milk, pineapple juice\",\"facial wash, paper towel, shampoo, body lotion\",\ne13650,2019/01/14,\"apricots, blueberries\",\"guava juice, apple juice, sports drinks\",toothbrush,\"Willow, Avery, Benjamin\"\ne13653,2019/01/17,nectarines,\"chocolate milk, guava juice, sports drinks, apple juice\",\"facial wash, paper towel, toilet paper, shaving cream\",\ne13654,2019/01/18,\"apples, nectarines, guava, blackberries\",\"guava juice, apple juice\",\"toothpaste, mouth wash\",\"Emily, Andrew\"\ne13656,2019/01/26,\"bananas, watermelons, peaches\",\"tea, apple juice\",\"shaving cream, mouth wash, mouthwash, toothpaste\",\ne13657,2019/02/02,\"apples, bananas, pineapples\",\"soda, guava juice, orange juice, milk\",\"body lotion, mouth wash, facial wash\",\ne13660,2019/02/05,\"blackberries, pears\",\"apple juice, sports drinks\",\"mouthwash, body lotion, toilet paper\",\ne13661,2019/02/08,\"peaches, nectarines, raspberries\",\"sports drinks, soda\",\"shaving cream, toothbrush\",\"Emily, Kayden, Carter\"\ne13663,2019/02/18,\"oranges, clementines, apples\",\"sports drinks, coffee, mineral water, soda\",\"facial wash, shampoo\",\"Olivia, Claire\"\ne13664,2019/02/24,\"apricots, strawberries, pineapples\",\"apple juice, sports drinks, coffee\",body lotion,\ne13666,2019/02/28,apples,\"milk, soda, apple juice, pineapple juice\",\"toothpaste, conditioner\",\"Claire, Layla, Olivia, Lydia, Avery, Hazel\"\ne13667,2019/03/04,\"bananas, raspberries, blueberries, nectarines\",\"mango juice, mineral water, pineapple juice, orange juice\",body lotion,\ne13668,2019/03/07,\"guava, peaches\",chocolate milk,mouthwash,\"Emily, Andrew\"\ne13669,2019/03/11,\"watermelons, mandarins\",mango juice,\"conditioner, toothbrush, shampoo\",\"Piper, Olivia, Nevaeh, Nora, Piper, Eva, Kinsley, Claire\"\ne13670,2019/03/16,clementines,\"mineral water, pineapple juice, soda\",\"toothbrush, body lotion, mouthwash\",\ne13672,2019/03/19,\"pears, raspberries, mangos, bananas\",\"pineapple juice, soda, tea, chocolate milk\",\"conditioner, toothbrush\",\ne13673,2019/03/25,\"nectarines, apples, blackberries\",\"mango juice, orange juice, mineral water, milk\",\"toilet paper, shaving cream, mouthwash\",\ne13677,2019/04/13,\"oranges, peaches, nectarines, bananas\",\"guava juice, soda, mineral water, orange juice\",\"toilet paper, body lotion\",\ne13679,2019/04/20,\"mangos, blackberries\",\"pineapple juice, sports drinks\",\"body lotion, toilet paper\",\ne13680,2019/04/29,\"clementines, mandarins, blackberries, bananas\",\"milk, tea, apple juice, coffee\",mouth wash,\"Olivia, Lydia, Avery, Claire, Piper, Nevaeh, Layla, Rylee, Eva, Kinsley, Nora, Hazel\"\ne13682,2019/05/03,\"mandarins, clementines\",pineapple juice,\"body lotion, shaving cream, mouth wash, toothbrush\",\ne13685,2019/05/12,\"clementines, mangos\",\"apple juice, mango juice, mineral water\",\"mouth wash, paper towel\",\"Avery, Jackson, Willow\"\ne13688,2019/05/27,\"cherres, nectarines\",\"chocolate milk, mango juice, soda\",\"conditioner, toothpaste, shaving cream, toilet paper\",\ne13691,2019/06/06,\"raspberries, blueberries, cherres, apples\",\"mineral water, chocolate milk\",toothpaste,\ne13692,2019/06/08,\"apples, pears\",\"mineral water, sports drinks\",shampoo,\ne13694,2019/06/12,\"blueberries, nectarines\",soda,\"conditioner, mouthwash\",\ne13695,2019/06/15,\"cherres, watermelons, nectarines, guava\",\"tea, orange juice, mango juice\",\"facial wash, body lotion, shaving cream, toothpaste\",Andrew\ne13698,2019/06/22,watermelons,\"mineral water, guava juice\",\"mouth wash, conditioner, shampoo, paper towel\",\"Nevaeh, Olivia, Kinsley, Avery, Lydia\"\ne13700,2019/06/25,\"apples, nectarines\",\"tea, mineral water, chocolate milk, mango juice\",\"toothbrush, shampoo\",\ne13701,2019/06/28,\"pineapples, blueberries\",\"coffee, sports drinks, tea, milk\",\"shampoo, toothbrush, mouthwash, toilet paper\",\ne13707,2019/07/24,\"bananas, blackberries\",\"guava juice, tea, soda\",\"mouthwash, toilet paper\",\ne13708,2019/07/26,\"guava, cherres, mangos, nectarines\",coffee,\"shaving cream, mouth wash, toothpaste\",\"Lydia, Eva, Nevaeh, Olivia, Claire, Piper\"\ne13711,2019/08/02,oranges,guava juice,\"toothpaste, mouthwash, toilet paper\",\"Rylee, Nora, Olivia, Piper, Claire, Layla, Kinsley, Eva, Nevaeh, Lydia, Avery, Hazel, Piper\"\ne13715,2019/08/06,\"blueberries, apricots, raspberries\",\"guava juice, tea, orange juice\",\"paper towel, mouth wash, mouthwash, shaving cream\",\"Andrew, Kayden, Carter\"\ne13716,2019/08/09,\"cherres, pears, clementines, oranges\",\"mango juice, mineral water, milk, chocolate milk\",\"toilet paper, toothpaste, body lotion\",\ne13722,2019/08/19,\"pineapples, mangos, peaches\",\"mineral water, coffee, chocolate milk\",\"mouthwash, shampoo, toothpaste\",Carter\ne13725,2019/08/20,\"clementines, apricots\",chocolate milk,\"shaving cream, mouthwash, toothpaste\",\ne13728,2019/09/01,raspberries,\"pineapple juice, milk, mango juice\",\"mouth wash, body lotion\",\ne13730,2019/09/08,guava,\"milk, sports drinks, chocolate milk, mineral water\",\"mouthwash, mouth wash\",\"Andrew, Emily\"\ne13732,2019/09/14,\"peaches, cherres\",\"apple juice, soda\",toothpaste,\"Jackson, Avery\"\ne13734,2019/09/24,\"strawberries, blueberries, cherres\",mineral water,\"toilet paper, toothbrush, mouthwash\",\"Carter, Emily, Kayden\"\ne13735,2019/09/30,apples,\"soda, mango juice, milk, chocolate milk\",\"mouth wash, body lotion\",\ne13737,2019/10/02,watermelons,\"sports drinks, orange juice, mineral water, mango juice\",shampoo,Andrew\ne13738,2019/10/06,\"apricots, strawberries, raspberries\",\"chocolate milk, sports drinks\",\"toothpaste, shampoo\",\"Jackson, Avery, Willow\"\ne13740,2019/10/08,\"peaches, bananas, oranges, apples\",tea,\"mouthwash, mouth wash, toothbrush, toothpaste\",\"Kayden, Carter, Andrew\"\ne13741,2019/10/13,bananas,\"mango juice, pineapple juice\",\"conditioner, toothbrush, toilet paper, paper towel\",\"Layla, Nevaeh, Olivia, Kinsley, Rylee, Claire, Piper, Avery, Piper, Eva\"\ne13745,2019/11/04,\"blueberries, apricots, pears, peaches\",\"mineral water, coffee\",facial wash,\ne13748,2019/11/22,\"clementines, apples\",\"chocolate milk, soda, pineapple juice, sports drinks\",shaving cream,\"Kayden, Andrew\"\ne13751,2019/11/28,\"strawberries, blueberries, watermelons, raspberries\",\"coffee, apple juice\",facial wash,Carter\ne13753,2019/12/09,bananas,soda,\"toothbrush, paper towel\",\ne13756,2019/12/15,bananas,\"coffee, milk\",\"mouthwash, shaving cream, mouth wash\",Andrew\ne13760,2019/12/22,blackberries,\"chocolate milk, tea, mineral water\",mouth wash,Willow\ne15132,2020/01/03,mandarins,\"chocolate milk, guava juice\",\"mouth wash, toothbrush\",Eva\ne15133,2020/01/04,\"mangos, oranges, apricots, bananas\",\"mineral water, orange juice\",toothbrush,\ne15135,2020/01/18,\"cherres, pears\",\"guava juice, tea\",toilet paper,\"Piper, Avery, Nevaeh, Olivia, Eva, Lydia, Claire, Nora\"\ne15138,2020/01/24,\"pears, clementines, apricots\",\"soda, pineapple juice, orange juice\",\"toothpaste, body lotion, paper towel, toothbrush\",\ne15140,2020/01/30,\"apricots, strawberries, pears, blueberries\",\"apple juice, soda, coffee, sports drinks\",conditioner,\"Eva, Layla, Kinsley, Piper, Lydia, Piper\"\ne15141,2020/02/01,\"blueberries, mangos\",\"mineral water, chocolate milk, mango juice\",body lotion,\ne15143,2020/02/06,\"blackberries, apricots, blueberries\",\"soda, mineral water\",\"toilet paper, body lotion\",\ne15144,2020/02/08,\"pineapples, apples\",\"soda, sports drinks, mineral water\",\"paper towel, toothpaste\",Emily\ne15145,2020/02/13,\"watermelons, guava, bananas, apricots\",\"coffee, orange juice, soda\",\"toothbrush, conditioner, toilet paper\",\"Olivia, Lydia, Eva, Rylee, Avery, Piper, Kinsley, Nevaeh, Nora, Piper, Claire\"\ne15146,2020/02/15,\"clementines, mangos\",\"pineapple juice, milk, mineral water, chocolate milk\",\"conditioner, toothpaste, toilet paper, paper towel\",\"Andrew, Carter, Emily, Kayden\"\ne15151,2020/02/29,\"blueberries, apricots, mandarins, watermelons\",mango juice,\"toilet paper, shaving cream, mouthwash\",\"Piper, Nevaeh\"\ne15152,2020/03/05,\"clementines, mangos, raspberries\",pineapple juice,\"toilet paper, shaving cream, conditioner\",\ne15153,2020/03/07,\"watermelons, pineapples, apricots\",apple juice,\"body lotion, toothpaste\",\ne15155,2020/03/14,\"peaches, blueberries\",chocolate milk,\"paper towel, facial wash, toilet paper\",\"Kinsley, Eva, Lydia, Layla, Nevaeh, Claire\"\ne15157,2020/03/24,\"apples, pineapples\",mineral water,\"body lotion, mouth wash, shaving cream, mouthwash\",\"Avery, Willow, Benjamin, Jackson\"\ne15159,2020/03/27,\"guava, raspberries, bananas\",\"mango juice, apple juice\",\"toothbrush, body lotion\",\ne15161,2020/04/01,\"pears, nectarines\",guava juice,\"facial wash, toilet paper, shaving cream\",\ne15162,2020/04/06,cherres,\"apple juice, soda, coffee\",conditioner,\"Emily, Carter, Kayden, Andrew\"\ne15163,2020/04/08,\"mangos, pears, pineapples\",\"tea, soda, orange juice\",\"toothpaste, conditioner, mouth wash\",\"Kinsley, Hazel, Piper, Lydia, Eva, Olivia, Rylee\"\ne15164,2020/04/13,\"apples, blueberries, watermelons\",\"pineapple juice, chocolate milk, coffee, tea\",\"mouth wash, toothbrush, mouthwash\",\"Piper, Piper, Layla, Nevaeh, Claire, Olivia, Nora, Avery, Hazel, Rylee, Eva, Kinsley, Lydia\"\ne15166,2020/04/17,\"mandarins, blackberries, apples, strawberries\",\"sports drinks, apple juice\",\"toothpaste, paper towel, facial wash, shampoo\",\ne15168,2020/04/25,\"apricots, guava\",pineapple juice,paper towel,Willow\ne15170,2020/04/29,\"watermelons, apricots, peaches, pears\",tea,\"conditioner, paper towel, shaving cream, toothpaste\",\"Andrew, Carter, Emily, Kayden\"\ne15171,2020/05/03,mangos,\"pineapple juice, guava juice\",\"mouth wash, toilet paper, body lotion\",\ne15174,2020/05/17,pears,\"guava juice, coffee\",facial wash,\ne15175,2020/05/21,\"oranges, strawberries\",orange juice,\"mouth wash, mouthwash, shaving cream, conditioner\",\ne15177,2020/06/01,\"oranges, mangos, mandarins\",\"mineral water, mango juice, orange juice\",\"mouth wash, shaving cream\",\ne15178,2020/06/08,strawberries,soda,\"shaving cream, toothpaste\",Andrew\ne15181,2020/06/12,\"strawberries, bananas\",\"chocolate milk, guava juice, pineapple juice\",\"toilet paper, body lotion, paper towel\",\ne15182,2020/06/22,\"pears, oranges, cherres\",\"chocolate milk, milk\",\"body lotion, shaving cream, toothbrush, mouth wash\",\ne15184,2020/06/28,pineapples,\"pineapple juice, tea, mineral water\",\"shampoo, toilet paper, body lotion, mouthwash\",\"Andrew, Emily, Carter\"\ne15187,2020/07/03,\"watermelons, pineapples\",\"milk, mango juice, apple juice, soda\",body lotion,Andrew\ne15190,2020/07/12,\"clementines, apples, blackberries, pineapples\",\"orange juice, mineral water, milk, chocolate milk\",mouthwash,\"Nora, Kinsley, Lydia, Eva, Layla, Piper, Claire, Piper\"\ne15191,2020/07/20,nectarines,\"sports drinks, guava juice, milk\",\"paper towel, shaving cream, conditioner\",Avery\ne15192,2020/07/22,\"peaches, raspberries, pineapples, mandarins\",\"guava juice, pineapple juice\",\"paper towel, toothbrush\",\ne15195,2020/07/30,\"peaches, nectarines, clementines, strawberries\",\"mineral water, tea\",mouthwash,Jackson\ne15196,2020/08/04,\"pineapples, cherres, blueberries, strawberries\",\"coffee, tea, mineral water, chocolate milk\",\"shampoo, conditioner, paper towel\",\"Benjamin, Jackson, Avery\"\ne15198,2020/08/05,\"strawberries, cherres, guava\",\"guava juice, orange juice, mango juice, milk\",shampoo,\ne15199,2020/08/11,\"blackberries, guava, mandarins\",\"milk, guava juice, chocolate milk, sports drinks\",shampoo,\ne15201,2020/08/15,\"bananas, watermelons, blueberries, raspberries\",\"chocolate milk, mineral water, soda\",\"conditioner, paper towel, mouthwash, toothpaste\",\"Willow, Avery, Jackson, Benjamin\"\ne15202,2020/08/20,\"nectarines, cherres, pears\",\"mineral water, soda\",\"paper towel, facial wash, mouth wash, shampoo\",\"Nevaeh, Rylee\"\ne15203,2020/08/24,\"peaches, apricots, bananas\",tea,\"mouth wash, shaving cream\",Emily\ne15207,2020/08/31,\"apples, blueberries\",\"pineapple juice, sports drinks, guava juice\",\"paper towel, toilet paper\",\ne15209,2020/09/05,peaches,\"guava juice, orange juice, mango juice\",\"shampoo, shaving cream, toothpaste\",\ne15214,2020/09/29,raspberries,milk,\"paper towel, shampoo\",\"Emily, Kayden\"\ne15216,2020/10/02,\"clementines, pineapples, mandarins, apples\",chocolate milk,toothbrush,\"Carter, Emily\"\ne15217,2020/10/05,\"guava, oranges, clementines\",\"chocolate milk, guava juice, sports drinks\",\"toilet paper, toothbrush, toothpaste\",\ne15219,2020/10/13,pears,guava juice,\"toothpaste, conditioner, body lotion, shaving cream\",Emily\ne15221,2020/10/16,\"blackberries, clementines, mangos\",\"tea, pineapple juice, chocolate milk, guava juice\",\"toothbrush, toothpaste, shaving cream, mouth wash\",\ne15222,2020/10/20,\"mandarins, nectarines, peaches\",\"sports drinks, chocolate milk, orange juice\",conditioner,\ne15225,2020/11/01,\"nectarines, strawberries, oranges, apricots\",\"soda, guava juice, sports drinks, pineapple juice\",toilet paper,\ne15228,2020/11/09,\"nectarines, watermelons\",\"guava juice, orange juice\",\"paper towel, conditioner, mouth wash\",\ne15230,2020/11/11,\"mandarins, nectarines, oranges\",\"milk, soda\",\"body lotion, facial wash, shampoo, shaving cream\",Carter\ne15231,2020/11/16,strawberries,\"tea, milk\",facial wash,Andrew\ne15234,2020/11/26,blueberries,\"sports drinks, pineapple juice, tea, orange juice\",\"mouthwash, body lotion\",\ne15235,2020/11/29,\"raspberries, blackberries, cherres, oranges\",\"apple juice, sports drinks\",\"mouthwash, shampoo, facial wash, conditioner\",\ne15237,2020/12/05,\"clementines, peaches, apricots\",chocolate milk,\"paper towel, toothpaste\",\"Jackson, Willow, Avery, Benjamin\"\ne15241,2020/12/10,\"apricots, raspberries, strawberries\",\"apple juice, soda\",\"mouthwash, conditioner, toilet paper\",\ne16613,2021/01/03,raspberries,\"mineral water, mango juice\",\"conditioner, shampoo, shaving cream\",\ne16614,2021/01/07,\"mandarins, nectarines, pineapples, raspberries\",\"coffee, tea\",\"shaving cream, toothpaste, mouthwash, mouth wash\",\"Lydia, Layla, Claire\"\ne16615,2021/01/09,\"strawberries, watermelons, blackberries\",\"soda, sports drinks, guava juice\",toilet paper,\"Willow, Jackson\"\ne16619,2021/01/27,\"peaches, apples, cherres, strawberries\",\"pineapple juice, apple juice\",\"body lotion, mouth wash\",\"Piper, Rylee, Layla, Lydia, Eva, Claire, Avery, Piper, Olivia, Nevaeh, Nora, Kinsley, Hazel\"\ne16621,2021/01/30,\"watermelons, oranges\",\"chocolate milk, sports drinks, mineral water, tea\",\"facial wash, mouth wash, mouthwash, toilet paper\",\"Carter, Andrew, Kayden, Emily\"\ne16625,2021/02/06,blackberries,\"tea, soda\",toothbrush,\ne16626,2021/02/10,\"apples, cherres\",\"sports drinks, coffee\",\"facial wash, toilet paper\",\"Kayden, Andrew, Carter, Emily\"\ne16631,2021/02/14,\"clementines, mandarins, cherres, blueberries\",\"coffee, tea, soda\",\"shaving cream, toothpaste, conditioner\",\ne16632,2021/02/17,\"cherres, mangos\",milk,\"shampoo, toothpaste, shaving cream\",\ne16633,2021/02/23,raspberries,milk,mouth wash,\"Piper, Piper, Claire, Eva, Lydia, Kinsley, Rylee, Layla, Olivia, Nora, Nevaeh\"\ne16636,2021/02/27,\"oranges, watermelons, blackberries\",\"apple juice, guava juice, milk\",\"toothbrush, facial wash, toilet paper, shampoo\",\"Emily, Kayden, Andrew\"\ne16637,2021/03/01,nectarines,\"sports drinks, milk\",\"mouth wash, shampoo\",\ne16638,2021/03/08,\"apples, peaches\",\"mineral water, apple juice, tea, guava juice\",\"toilet paper, paper towel\",Andrew\ne16639,2021/03/18,watermelons,\"mango juice, guava juice\",mouth wash,\ne16641,2021/03/22,\"strawberries, blueberries\",\"pineapple juice, chocolate milk, guava juice, tea\",\"mouth wash, mouthwash\",\ne16642,2021/03/26,\"blackberries, nectarines\",\"pineapple juice, soda\",\"toothpaste, conditioner, facial wash, shaving cream\",\ne16643,2021/04/01,mandarins,\"mango juice, mineral water, orange juice\",body lotion,\"Nevaeh, Claire, Layla, Piper, Piper, Lydia, Rylee\"\ne16646,2021/04/14,peaches,\"apple juice, sports drinks\",\"facial wash, mouth wash\",\ne16653,2021/04/23,\"strawberries, mangos, peaches\",\"soda, sports drinks, milk, pineapple juice\",\"body lotion, shampoo, toothpaste, toothbrush\",Jackson\ne16655,2021/05/01,\"cherres, mangos, oranges, blueberries\",mineral water,\"facial wash, mouth wash\",\"Piper, Olivia, Avery, Claire, Kinsley, Layla\"\ne16657,2021/05/13,\"bananas, pineapples, cherres\",\"milk, sports drinks, tea, guava juice\",\"toothpaste, paper towel\",\ne16659,2021/05/15,\"cherres, oranges\",\"mango juice, guava juice, tea\",\"mouth wash, paper towel\",\"Kinsley, Rylee, Piper, Piper, Eva, Nevaeh, Olivia, Lydia, Avery, Hazel\"\ne16660,2021/05/19,\"blackberries, blueberries, apples, raspberries\",\"orange juice, coffee, mango juice\",\"body lotion, toothpaste, shaving cream\",\"Avery, Jackson, Benjamin, Willow\"\ne16662,2021/05/31,mangos,\"guava juice, apple juice\",\"shampoo, mouth wash, conditioner\",\"Avery, Willow, Jackson\"\ne16665,2021/06/09,\"apples, bananas, cherres, mangos\",\"coffee, chocolate milk, pineapple juice\",\"toilet paper, toothbrush\",Andrew\ne16668,2021/06/11,apricots,\"coffee, pineapple juice\",\"shampoo, toothpaste\",\"Willow, Avery\"\ne16669,2021/06/16,\"bananas, raspberries\",apple juice,body lotion,\ne16671,2021/06/24,mandarins,orange juice,\"paper towel, shaving cream, mouth wash, mouthwash\",\ne16674,2021/07/08,\"apricots, peaches, oranges, cherres\",pineapple juice,\"paper towel, body lotion, toothpaste, shaving cream\",\ne16677,2021/07/15,\"mangos, blueberries\",mango juice,\"shampoo, toothbrush\",\ne16679,2021/07/17,\"pears, clementines, oranges\",\"orange juice, pineapple juice\",body lotion,\"Kayden, Andrew, Emily, Carter\"\ne16682,2021/07/29,\"nectarines, apples\",\"coffee, soda, mango juice\",\"mouth wash, toothpaste, shampoo\",\ne16685,2021/08/02,\"clementines, raspberries\",\"pineapple juice, soda, guava juice, coffee\",\"shaving cream, toothbrush\",Kayden\ne16688,2021/08/19,\"pears, blackberries, apples\",\"guava juice, apple juice\",\"body lotion, mouthwash, toothpaste, paper towel\",\ne16694,2021/09/06,mangos,\"tea, chocolate milk, orange juice\",\"paper towel, mouth wash, toothpaste, toothbrush\",\"Claire, Eva, Nevaeh, Piper, Olivia, Piper, Layla, Lydia, Hazel, Kinsley\"\ne16696,2021/09/21,peaches,\"tea, orange juice, mineral water, coffee\",\"toothbrush, conditioner\",\"Avery, Benjamin, Jackson, Willow\"\ne16698,2021/09/26,blueberries,milk,toothpaste,\"Carter, Kayden, Emily, Andrew\"\ne16701,2021/10/07,\"blackberries, peaches\",\"soda, mineral water, mango juice, pineapple juice\",\"paper towel, body lotion, mouthwash\",Lydia\ne16703,2021/10/12,\"watermelons, blackberries\",\"mineral water, coffee, pineapple juice\",shaving cream,\"Willow, Benjamin, Jackson\"\ne16706,2021/10/19,\"clementines, watermelons, mandarins\",\"orange juice, sports drinks, apple juice, guava juice\",shampoo,Eva\ne16708,2021/10/22,\"bananas, blueberries, mangos, pineapples\",\"guava juice, mango juice, orange juice, coffee\",\"shaving cream, toothpaste, shampoo, mouthwash\",\"Carter, Emily, Andrew, Kayden\"\ne16709,2021/10/28,\"clementines, pears, watermelons, guava\",mineral water,\"toilet paper, toothpaste, paper towel, facial wash\",Carter\ne16712,2021/10/31,\"guava, nectarines, peaches\",\"soda, apple juice, orange juice, milk\",facial wash,\ne16714,2021/11/06,\"nectarines, mangos, raspberries, pineapples\",\"soda, tea, milk, apple juice\",\"shaving cream, conditioner\",Andrew\ne16715,2021/11/10,cherres,\"tea, coffee, orange juice\",\"conditioner, paper towel, shaving cream\",\ne16716,2021/11/15,\"apples, apricots, raspberries, blackberries\",\"mango juice, coffee, apple juice\",\"facial wash, paper towel\",\ne16718,2021/11/29,\"mandarins, guava, raspberries, watermelons\",soda,\"shampoo, mouth wash, toothpaste\",\ne16723,2021/12/21,blueberries,\"orange juice, coffee, guava juice\",\"toothpaste, toothbrush, body lotion, mouthwash\",\"Carter, Emily, Kayden\"\ne18131,2022/01/01,\"pears, peaches, pineapples, mandarins\",milk,facial wash,\"Carter, Andrew, Kayden, Emily\"\ne18134,2022/01/16,strawberries,\"guava juice, tea, apple juice\",\"toilet paper, mouth wash, paper towel, shaving cream\",\"Rylee, Claire, Layla, Piper, Piper, Nora, Eva, Nevaeh, Lydia, Hazel, Olivia\"\ne18135,2022/01/20,\"bananas, cherres, mangos, blueberries\",\"pineapple juice, orange juice, coffee, mineral water\",shaving cream,\"Jackson, Benjamin\"\ne18138,2022/01/24,pineapples,orange juice,\"toothpaste, paper towel, shaving cream\",\ne18139,2022/01/27,\"oranges, watermelons\",\"sports drinks, pineapple juice\",\"shaving cream, mouthwash\",\ne18144,2022/02/20,\"pineapples, watermelons, cherres, pears\",\"orange juice, apple juice\",\"mouthwash, facial wash, conditioner, shampoo\",\"Carter, Andrew, Emily, Kayden\"\ne18146,2022/03/01,\"bananas, raspberries, mangos, guava\",\"mineral water, coffee, soda, sports drinks\",\"facial wash, mouthwash, toilet paper, body lotion\",\"Piper, Hazel\"\ne18148,2022/03/11,apricots,\"milk, sports drinks\",shampoo,\"Jackson, Avery, Benjamin, Willow\"\ne18149,2022/03/24,apricots,\"soda, sports drinks, milk\",conditioner,\"Jackson, Benjamin, Willow, Avery\"\ne18151,2022/03/26,\"bananas, peaches, mandarins, cherres\",pineapple juice,mouthwash,Carter\ne18152,2022/03/29,\"mandarins, blackberries, apples\",\"mineral water, guava juice\",conditioner,\ne18155,2022/04/03,pineapples,\"guava juice, milk, orange juice, sports drinks\",\"toilet paper, shampoo\",\"Carter, Andrew\"\ne18156,2022/04/05,\"apricots, mangos, peaches\",\"pineapple juice, mineral water, orange juice, guava juice\",mouthwash,\ne18160,2022/04/16,guava,\"tea, guava juice, orange juice, sports drinks\",\"shaving cream, mouth wash\",\ne18161,2022/04/19,\"guava, blueberries\",\"mango juice, sports drinks, soda, orange juice\",\"toothpaste, shampoo\",\"Andrew, Kayden, Emily\"\ne18165,2022/05/02,strawberries,\"coffee, milk, guava juice, mineral water\",\"shampoo, facial wash, shaving cream, toothbrush\",\"Avery, Willow, Jackson, Benjamin\"\ne18168,2022/05/08,\"strawberries, peaches\",\"apple juice, orange juice, guava juice, chocolate milk\",\"facial wash, toilet paper, shaving cream\",\ne18169,2022/05/10,\"nectarines, cherres, watermelons, mangos\",\"coffee, guava juice, orange juice, mineral water\",conditioner,\ne18172,2022/05/19,\"cherres, mandarins, clementines, pineapples\",\"chocolate milk, tea\",\"toothpaste, body lotion, mouthwash, shampoo\",\"Kayden, Andrew, Emily, Carter\"\ne18177,2022/05/28,\"blackberries, bananas, raspberries\",\"pineapple juice, sports drinks, coffee\",conditioner,\"Andrew, Kayden, Carter\"\ne18178,2022/06/02,\"peaches, bananas, apricots, pears\",chocolate milk,\"paper towel, facial wash, shaving cream, conditioner\",\ne18180,2022/06/09,pears,\"orange juice, mango juice\",\"shampoo, facial wash\",\ne18182,2022/06/17,\"clementines, strawberries, apricots\",\"tea, mango juice, mineral water, sports drinks\",toothbrush,\ne18185,2022/06/24,\"oranges, bananas, raspberries, peaches\",\"soda, orange juice\",\"body lotion, shampoo, toothpaste, toilet paper\",\ne18189,2022/06/27,\"apples, clementines, mandarins, oranges\",pineapple juice,\"toothbrush, conditioner, mouthwash, body lotion\",\ne18190,2022/06/29,oranges,\"orange juice, guava juice, milk\",\"mouth wash, toilet paper, toothbrush\",\"Nevaeh, Olivia, Kinsley, Avery, Layla, Eva\"\ne18193,2022/07/10,guava,orange juice,\"toilet paper, toothbrush\",\ne18195,2022/07/17,\"apricots, raspberries, blackberries, watermelons\",mineral water,\"body lotion, mouth wash\",\"Piper, Kinsley\"\ne18198,2022/07/27,\"peaches, bananas\",\"mineral water, guava juice, pineapple juice\",mouthwash,\"Benjamin, Willow, Jackson, Avery\"\ne18202,2022/08/11,\"guava, bananas\",\"sports drinks, chocolate milk, mineral water, soda\",toothpaste,\"Eva, Kinsley, Olivia, Avery, Piper, Rylee, Nora, Lydia, Claire, Nevaeh, Layla, Piper, Hazel\"\ne18208,2022/08/23,\"bananas, pineapples\",\"coffee, milk, sports drinks, guava juice\",\"paper towel, shampoo\",\"Piper, Avery, Olivia, Lydia, Eva, Hazel, Rylee, Nora, Kinsley, Claire, Layla, Nevaeh, Piper\"\ne18212,2022/08/27,\"cherres, apricots\",\"apple juice, mango juice, guava juice, milk\",\"conditioner, toilet paper, shampoo\",\"Rylee, Lydia, Claire, Eva, Kinsley\"\ne18213,2022/08/30,bananas,\"chocolate milk, apple juice, milk, soda\",facial wash,\ne18215,2022/09/05,\"apricots, apples, pineapples, nectarines\",\"soda, pineapple juice\",mouth wash,\ne18216,2022/09/08,\"watermelons, strawberries, clementines, apples\",\"mineral water, sports drinks, chocolate milk\",\"shaving cream, mouthwash, toothbrush\",\ne18220,2022/09/19,\"cherres, guava, pears, clementines\",\"soda, tea\",toilet paper,\ne18221,2022/09/23,\"nectarines, watermelons\",mango juice,\"mouthwash, body lotion, conditioner, toothbrush\",\ne18223,2022/09/26,\"mangos, pineapples, apricots, mandarins\",\"mineral water, chocolate milk, tea, mango juice\",shaving cream,\"Avery, Jackson\"\ne18224,2022/10/06,\"oranges, pineapples, pears, blueberries\",pineapple juice,\"toothbrush, mouth wash, body lotion, conditioner\",\"Willow, Benjamin, Jackson, Avery\"\ne18227,2022/10/19,strawberries,\"soda, pineapple juice, chocolate milk\",\"shaving cream, toilet paper, mouthwash, shampoo\",\"Emily, Andrew, Carter\"\ne18228,2022/10/22,\"bananas, mandarins\",\"apple juice, mineral water, sports drinks, soda\",\"facial wash, paper towel, shaving cream\",\ne18229,2022/10/25,\"guava, clementines, cherres, blackberries\",\"coffee, chocolate milk, mango juice, mineral water\",shampoo,\ne18231,2022/10/29,\"cherres, pears\",chocolate milk,\"mouthwash, conditioner, paper towel, facial wash\",\"Kayden, Andrew, Carter, Emily\"\ne18232,2022/11/02,\"bananas, oranges, peaches, strawberries\",\"milk, pineapple juice, sports drinks\",\"toilet paper, shaving cream, shampoo\",\ne18234,2022/11/06,\"apricots, pears, blueberries, clementines\",\"guava juice, apple juice, chocolate milk, mineral water\",facial wash,\ne18235,2022/11/11,\"peaches, guava, strawberries\",\"orange juice, pineapple juice, mango juice\",\"shampoo, mouthwash\",\ne18239,2022/11/14,\"bananas, strawberries, clementines, watermelons\",\"mineral water, soda, orange juice\",\"facial wash, shaving cream, toothpaste\",\ne18240,2022/11/15,\"blueberries, clementines\",\"apple juice, coffee, pineapple juice, tea\",toothpaste,\"Jackson, Benjamin\"\ne18241,2022/11/22,oranges,soda,conditioner,\"Kinsley, Claire, Olivia, Lydia, Nevaeh\"\ne18246,2022/12/04,\"apricots, mandarins, apples\",\"guava juice, sports drinks\",\"paper towel, toilet paper, toothpaste\",\ne18247,2022/12/06,\"watermelons, raspberries, mangos\",\"soda, guava juice, chocolate milk\",\"paper towel, facial wash, shaving cream, toilet paper\",\ne18249,2022/12/15,\"blackberries, mandarins, guava, nectarines\",\"apple juice, mango juice, coffee\",\"toilet paper, body lotion, toothbrush\",\"Kayden, Emily\"\ne18252,2022/12/29,\"bananas, nectarines, mangos\",\"milk, orange juice, apple juice\",paper towel,\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/medium-100/weekly_hobby-log.csv",
    "content": "eid,date,hobbies,people_string\ne18,2010/01/05,meditation,\ne20,2010/01/14,yoga,\ne24,2010/01/26,gardening,\ne26,2010/02/04,working out,\ne34,2010/03/04,learning a language,Avery\ne36,2010/03/05,learning a language,\ne37,2010/03/11,gardening,\ne40,2010/03/14,learning a language,\ne47,2010/04/05,gardening,Kayden\ne48,2010/04/15,yoga,\ne51,2010/04/25,meditation,\ne52,2010/04/26,meditation,Nevaeh\ne55,2010/05/09,meditation,\ne56,2010/05/11,learning a language,\ne63,2010/06/06,gardening,\ne64,2010/06/08,learning a language,\ne67,2010/06/17,meditation,Jackson\ne68,2010/06/25,gardening,\ne70,2010/07/02,yoga,\"Kayden, Carter\"\ne78,2010/08/11,working out,Rylee\ne81,2010/08/13,learning a language,\ne85,2010/08/20,gardening,\"Benjamin, Jackson, Avery\"\ne87,2010/08/27,learning a language,\"Kayden, Emily, Andrew\"\ne91,2010/09/13,learning a language,\ne95,2010/09/20,meditation,\ne102,2010/10/11,working out,\"Jackson, Avery\"\ne105,2010/10/15,learning a language,\ne112,2010/11/05,learning a language,\ne115,2010/11/13,meditation,Piper\ne121,2010/12/15,learning a language,\ne1531,2011/01/06,meditation,\"Emily, Andrew, Carter\"\ne1532,2011/01/11,learning a language,Piper\ne1534,2011/01/29,working out,\ne1548,2011/03/17,working out,Jackson\ne1555,2011/04/02,working out,\"Emily, Andrew\"\ne1556,2011/04/08,learning a language,\ne1570,2011/05/09,yoga,\"Benjamin, Willow, Avery\"\ne1575,2011/05/28,gardening,\ne1576,2011/06/03,yoga,\ne1581,2011/06/14,learning a language,\ne1587,2011/06/30,gardening,\"Andrew, Carter, Emily\"\ne1591,2011/07/03,working out,\ne1594,2011/07/10,meditation,Carter\ne1597,2011/07/16,yoga,\ne1598,2011/07/21,working out,\ne1601,2011/07/29,meditation,\ne1604,2011/08/05,gardening,\ne1608,2011/08/06,learning a language,\"Willow, Benjamin\"\ne1623,2011/10/18,working out,\ne1626,2011/10/22,working out,\"Emily, Carter\"\ne1627,2011/10/28,meditation,\ne1633,2011/12/01,gardening,\ne1644,2011/12/18,learning a language,\ne3083,2012/02/23,meditation,\ne3087,2012/02/28,learning a language,\ne3088,2012/02/29,learning a language,Olivia\ne3092,2012/03/04,working out,\ne3097,2012/03/27,gardening,\ne3105,2012/05/20,meditation,\ne3116,2012/06/29,yoga,Nora\ne3120,2012/07/01,yoga,\ne3121,2012/07/04,learning a language,\"Andrew, Carter, Kayden\"\ne3125,2012/07/15,gardening,\"Avery, Jackson\"\ne3130,2012/07/30,yoga,\"Kayden, Andrew, Emily\"\ne3135,2012/08/14,learning a language,\ne3136,2012/08/16,yoga,\ne3141,2012/08/28,meditation,\ne3146,2012/09/25,working out,Emily\ne3158,2012/11/10,gardening,\ne3165,2012/11/27,working out,\ne3166,2012/11/28,yoga,\ne3169,2012/12/08,meditation,Andrew\ne3171,2012/12/13,learning a language,\ne4600,2013/01/06,working out,\ne4603,2013/01/08,yoga,\"Carter, Andrew, Emily\"\ne4604,2013/01/13,learning a language,\ne4607,2013/01/29,working out,\ne4609,2013/02/10,learning a language,\ne4616,2013/03/12,working out,\ne4620,2013/03/24,meditation,\ne4624,2013/03/31,yoga,\ne4634,2013/05/02,gardening,\"Carter, Kayden, Emily\"\ne4639,2013/05/27,yoga,\"Willow, Jackson, Avery\"\ne4642,2013/06/08,gardening,\ne4656,2013/07/30,meditation,\ne4660,2013/08/12,learning a language,\ne4668,2013/09/17,working out,\"Benjamin, Jackson\"\ne4674,2013/10/21,yoga,Kayden\ne4679,2013/11/04,meditation,Carter\ne4685,2013/11/19,gardening,Claire\ne4686,2013/11/22,yoga,\ne4697,2013/12/30,meditation,\ne6060,2014/01/01,working out,\ne6064,2014/01/21,gardening,\ne6067,2014/01/25,working out,\ne6077,2014/02/19,working out,\"Carter, Emily\"\ne6079,2014/02/26,yoga,\ne6082,2014/03/13,meditation,\ne6086,2014/03/21,yoga,\"Emily, Andrew, Kayden\"\ne6090,2014/04/04,gardening,\ne6091,2014/04/08,meditation,\ne6093,2014/04/13,gardening,\"Kayden, Andrew, Carter\"\ne6100,2014/05/10,learning a language,Benjamin\ne6104,2014/05/15,meditation,\ne6116,2014/06/23,yoga,\"Emily, Carter, Kayden\"\ne6120,2014/07/03,learning a language,\ne6121,2014/07/06,working out,\"Nora, Avery, Layla\"\ne6133,2014/08/20,working out,Carter\ne6134,2014/08/23,meditation,Carter\ne6137,2014/08/30,meditation,\"Olivia, Nora, Layla\"\ne6139,2014/09/07,meditation,\ne6149,2014/10/08,learning a language,Claire\ne6152,2014/10/15,yoga,\ne6157,2014/10/30,meditation,Claire\ne6159,2014/11/11,learning a language,\"Benjamin, Avery\"\ne6167,2014/12/05,meditation,\"Eva, Hazel, Piper\"\ne6168,2014/12/08,meditation,\ne6177,2014/12/31,meditation,\ne7598,2015/01/05,yoga,\ne7608,2015/01/26,working out,\ne7617,2015/02/15,gardening,\ne7620,2015/02/25,meditation,\ne7624,2015/03/01,yoga,\ne7628,2015/03/08,gardening,\ne7630,2015/03/18,learning a language,\ne7637,2015/03/28,gardening,\ne7647,2015/05/03,gardening,Kayden\ne7659,2015/05/21,working out,Andrew\ne7661,2015/06/02,working out,\ne7671,2015/07/15,gardening,\ne7674,2015/07/25,yoga,\ne7676,2015/08/04,meditation,\ne7680,2015/08/14,learning a language,Andrew\ne7688,2015/09/09,working out,\ne7690,2015/09/15,yoga,\"Rylee, Hazel, Piper\"\ne7697,2015/10/03,meditation,\ne7698,2015/10/06,meditation,\"Carter, Emily, Kayden\"\ne7703,2015/10/17,gardening,\"Kayden, Emily\"\ne7705,2015/10/24,yoga,\ne7706,2015/11/04,working out,\ne7711,2015/11/18,yoga,\"Benjamin, Jackson, Avery\"\ne7719,2015/12/04,meditation,\ne7729,2015/12/28,meditation,Kayden\ne9107,2016/01/13,meditation,\"Emily, Kayden\"\ne9110,2016/01/26,working out,\ne9112,2016/02/03,yoga,\"Avery, Willow, Jackson\"\ne9117,2016/02/05,gardening,Carter\ne9124,2016/02/26,yoga,\ne9129,2016/03/07,learning a language,\ne9132,2016/03/13,learning a language,Eva\ne9137,2016/03/18,learning a language,\ne9140,2016/04/05,yoga,\ne9142,2016/04/11,gardening,\ne9148,2016/05/02,gardening,\ne9149,2016/05/06,working out,\"Andrew, Emily\"\ne9154,2016/05/21,working out,\"Kayden, Andrew, Emily\"\ne9156,2016/05/30,gardening,\"Carter, Emily\"\ne9160,2016/06/07,working out,\ne9167,2016/06/27,meditation,\ne9170,2016/07/06,learning a language,\ne9175,2016/07/10,gardening,\ne9181,2016/07/23,gardening,\ne9189,2016/08/15,meditation,\ne9191,2016/08/23,learning a language,Carter\ne9199,2016/09/20,working out,\ne9203,2016/09/23,yoga,\ne9208,2016/10/26,meditation,\ne9213,2016/11/10,working out,Eva\ne9221,2016/12/06,working out,Nevaeh\ne9229,2016/12/20,meditation,\ne10674,2017/02/05,gardening,\"Carter, Andrew\"\ne10675,2017/02/08,working out,\ne10679,2017/02/17,learning a language,Kinsley\ne10689,2017/03/16,yoga,\ne10692,2017/03/21,working out,Olivia\ne10694,2017/03/30,learning a language,\"Carter, Kayden\"\ne10696,2017/04/08,gardening,\ne10699,2017/04/14,learning a language,\ne10702,2017/04/17,yoga,\ne10707,2017/05/01,gardening,\ne10711,2017/05/10,learning a language,\"Kayden, Andrew, Carter\"\ne10720,2017/06/16,yoga,Eva\ne10727,2017/07/02,meditation,\"Andrew, Kayden, Emily\"\ne10730,2017/07/10,working out,\ne10736,2017/08/02,working out,\"Avery, Layla, Piper\"\ne10740,2017/08/16,working out,\ne10751,2017/09/30,working out,\"Rylee, Hazel, Layla\"\ne10753,2017/10/01,gardening,\"Andrew, Carter\"\ne10757,2017/10/20,yoga,\ne10768,2017/11/18,meditation,\"Layla, Eva\"\ne10771,2017/11/19,working out,\ne10772,2017/11/24,meditation,\"Jackson, Avery\"\ne10780,2017/12/17,gardening,\ne10783,2017/12/30,working out,\ne12183,2018/02/20,learning a language,\"Carter, Emily\"\ne12188,2018/03/06,working out,\ne12195,2018/03/21,learning a language,\ne12199,2018/04/05,working out,\"Lydia, Piper\"\ne12203,2018/04/26,meditation,\"Kayden, Carter, Emily\"\ne12209,2018/05/16,yoga,Nora\ne12215,2018/06/10,working out,\ne12223,2018/06/25,gardening,\ne12229,2018/07/10,working out,\"Emily, Kayden, Carter\"\ne12234,2018/08/12,learning a language,\ne12236,2018/08/15,yoga,\ne12237,2018/08/19,gardening,\ne12250,2018/09/17,yoga,Carter\ne12258,2018/10/10,learning a language,\ne12261,2018/10/15,yoga,\ne12264,2018/10/24,learning a language,\ne12265,2018/11/03,learning a language,\"Rylee, Claire, Nora\"\ne12267,2018/11/07,yoga,\ne12268,2018/11/10,working out,\"Jackson, Benjamin, Avery\"\ne12270,2018/11/17,learning a language,\ne12282,2018/12/30,gardening,\ne12283,2018/12/31,meditation,\"Carter, Emily\"\ne13648,2019/01/11,yoga,\ne13659,2019/02/11,gardening,\"Kayden, Emily\"\ne13662,2019/02/15,yoga,\ne13665,2019/03/02,gardening,\"Benjamin, Avery\"\ne13675,2019/03/30,yoga,\ne13681,2019/05/02,yoga,\ne13684,2019/05/13,meditation,\ne13689,2019/06/01,meditation,Andrew\ne13706,2019/07/27,gardening,Eva\ne13720,2019/08/13,gardening,\ne13721,2019/08/17,learning a language,\ne13727,2019/08/28,gardening,\ne13729,2019/09/06,learning a language,\ne13731,2019/09/12,learning a language,\ne13733,2019/09/24,yoga,\ne13736,2019/10/05,gardening,\ne13739,2019/10/14,gardening,\"Jackson, Willow\"\ne13742,2019/10/18,gardening,\"Emily, Andrew, Kayden\"\ne13744,2019/11/01,meditation,\ne13750,2019/12/01,learning a language,\ne13752,2019/12/06,meditation,\ne13755,2019/12/13,learning a language,Kayden\ne13758,2019/12/18,gardening,\ne13759,2019/12/22,gardening,\ne15134,2020/01/11,yoga,Andrew\ne15137,2020/01/25,learning a language,\ne15139,2020/01/31,meditation,\ne15148,2020/02/25,yoga,\"Claire, Kinsley\"\ne15150,2020/02/26,learning a language,\"Carter, Kayden, Andrew\"\ne15158,2020/03/25,learning a language,\ne15172,2020/05/08,meditation,\"Emily, Carter, Andrew\"\ne15180,2020/06/12,yoga,Rylee\ne15189,2020/07/12,learning a language,\ne15206,2020/08/27,meditation,\ne15208,2020/09/05,gardening,\ne15211,2020/09/16,learning a language,\"Andrew, Kayden, Emily\"\ne15213,2020/09/23,meditation,\"Rylee, Nevaeh\"\ne15226,2020/11/04,learning a language,\"Emily, Andrew, Kayden\"\ne15227,2020/11/07,learning a language,\"Jackson, Avery\"\ne15236,2020/12/06,yoga,\ne15239,2020/12/11,working out,\"Emily, Carter, Kayden\"\ne15240,2020/12/14,meditation,\"Hazel, Kinsley, Eva\"\ne15244,2020/12/16,yoga,Jackson\ne16612,2021/01/05,meditation,\"Emily, Andrew\"\ne16617,2021/01/17,learning a language,\ne16618,2021/01/21,gardening,\ne16623,2021/02/05,learning a language,\"Kayden, Andrew\"\ne16624,2021/02/08,yoga,\ne16635,2021/02/28,meditation,\"Andrew, Emily, Kayden\"\ne16645,2021/04/11,working out,\ne16648,2021/04/18,meditation,\ne16649,2021/04/21,yoga,\ne16652,2021/04/29,gardening,\"Benjamin, Avery, Jackson\"\ne16661,2021/06/02,meditation,\ne16663,2021/06/06,gardening,\ne16664,2021/06/10,working out,\ne16667,2021/06/14,yoga,\ne16670,2021/06/24,working out,\ne16673,2021/07/06,meditation,Avery\ne16676,2021/07/13,learning a language,\ne16681,2021/07/27,yoga,\"Carter, Andrew\"\ne16684,2021/08/03,working out,\ne16687,2021/08/11,meditation,\"Layla, Piper, Hazel\"\ne16689,2021/08/23,gardening,Benjamin\ne16695,2021/09/19,learning a language,Andrew\ne16705,2021/10/18,working out,\"Andrew, Kayden, Carter\"\ne16717,2021/11/21,working out,Kayden\ne16719,2021/12/09,working out,\"Jackson, Benjamin, Avery\"\ne16721,2021/12/11,meditation,Jackson\ne18137,2022/01/25,working out,\ne18140,2022/01/31,meditation,\ne18141,2022/02/15,gardening,\"Layla, Avery, Piper\"\ne18142,2022/02/19,working out,\"Benjamin, Jackson\"\ne18143,2022/02/25,meditation,\"Benjamin, Jackson\"\ne18145,2022/03/03,meditation,\ne18154,2022/04/02,learning a language,\ne18157,2022/04/12,gardening,\ne18167,2022/05/10,meditation,\ne18171,2022/05/16,yoga,\ne18179,2022/06/06,yoga,Olivia\ne18184,2022/06/21,working out,\ne18187,2022/06/25,gardening,\ne18188,2022/06/29,yoga,\ne18199,2022/08/05,meditation,\"Andrew, Emily\"\ne18201,2022/08/08,working out,\ne18206,2022/08/22,learning a language,\ne18207,2022/08/24,yoga,\ne18211,2022/09/02,gardening,\ne18214,2022/09/08,yoga,Layla\ne18218,2022/09/12,gardening,\ne18219,2022/09/23,meditation,\ne18222,2022/09/29,working out,Carter\ne18243,2022/11/27,gardening,\ne18245,2022/12/08,learning a language,\"Emily, Andrew\"\ne18251,2022/12/28,meditation,\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/annual_medical_care-log.csv",
    "content": "eid,date,for_whom,type_of_care\ne7721,2022/10/13,child_medical_care,annual vision checkup\ne7720,2022/08/09,child_medical_care,annual dental cleaning and checkup\ne7719,2022/02/28,child_medical_care,annual dental cleaning and checkup\ne7718,2022/09/09,child_medical_care,annual physical checkup\ne7717,2022/10/16,parent_medical_care,annual dental cleaning and checkup\ne7716,2022/11/20,parent_medical_care,annual physical checkup\ne7715,2022/02/26,personal_medical_care,annual physical checkup\ne7067,2021/02/11,child_medical_care,annual physical checkup\ne7066,2021/10/28,child_medical_care,annual dental cleaning and checkup\ne7065,2021/03/24,child_medical_care,annual physical checkup\ne7064,2021/10/27,parent_medical_care,annual dental cleaning and checkup\ne7063,2021/10/22,parent_medical_care,annual physical checkup\ne7062,2021/08/21,personal_medical_care,annual vision checkup\ne7061,2021/09/11,personal_medical_care,annual physical checkup\ne6424,2020/03/27,child_medical_care,annual physical checkup\ne6423,2020/03/02,parent_medical_care,annual physical checkup\ne6422,2020/06/13,personal_medical_care,annual dental cleaning and checkup\ne6421,2020/06/16,personal_medical_care,annual physical checkup\ne5741,2019/12/25,child_medical_care,annual physical checkup\ne5740,2019/12/02,parent_medical_care,annual dental cleaning and checkup\ne5739,2019/03/20,parent_medical_care,annual physical checkup\ne5738,2019/10/13,personal_medical_care,annual dental cleaning and checkup\ne5737,2019/03/07,personal_medical_care,annual physical checkup\ne5113,2018/07/14,parent_medical_care,annual dental cleaning and checkup\ne5112,2018/11/08,parent_medical_care,annual physical checkup\ne5111,2018/04/25,personal_medical_care,annual physical checkup\ne4466,2017/08/23,parent_medical_care,annual vision checkup\ne4465,2017/05/28,parent_medical_care,annual physical checkup\ne4464,2017/01/15,personal_medical_care,annual physical checkup\ne3825,2016/10/11,parent_medical_care,annual dental cleaning and checkup\ne3824,2016/11/26,parent_medical_care,annual physical checkup\ne3823,2016/05/25,personal_medical_care,annual vision checkup\ne3822,2016/12/11,personal_medical_care,annual physical checkup\ne3166,2015/03/20,parent_medical_care,annual dental cleaning and checkup\ne3165,2015/07/08,parent_medical_care,annual physical checkup\ne3164,2015/10/08,personal_medical_care,annual dental cleaning and checkup\ne2517,2014/07/24,parent_medical_care,annual dental cleaning and checkup\ne2516,2014/01/20,personal_medical_care,annual vision checkup\ne2515,2014/12/25,personal_medical_care,annual dental cleaning and checkup\ne1886,2013/07/17,parent_medical_care,annual physical checkup\ne1885,2013/11/20,personal_medical_care,annual dental cleaning and checkup\ne1884,2013/06/27,personal_medical_care,annual physical checkup\ne1250,2012/11/25,parent_medical_care,annual dental cleaning and checkup\ne1249,2012/07/11,parent_medical_care,annual physical checkup\ne1248,2012/04/03,personal_medical_care,annual dental cleaning and checkup\ne1247,2012/09/18,personal_medical_care,annual physical checkup\ne613,2011/07/04,parent_medical_care,annual dental cleaning and checkup\ne612,2011/03/27,parent_medical_care,annual physical checkup\ne611,2011/01/20,personal_medical_care,annual dental cleaning and checkup\ne610,2011/09/03,personal_medical_care,annual physical checkup\ne15,2010/01/18,parent_medical_care,annual dental cleaning and checkup\ne14,2010/07/16,parent_medical_care,annual physical checkup\ne13,2010/09/28,personal_medical_care,annual dental cleaning and checkup\ne12,2010/08/20,personal_medical_care,annual physical checkup\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/config.ini",
    "content": "[embedding_model]\nmodel = text-embedding-ada-002\nencoding = cl100k_base\nmax_tokens = 8000\n\n[Views]\nmodel_name = gpt-3.5-turbo\n\n[RAG]\nqa_model = gpt-3.5-turbo\ntemperature = 0\ntopk = 10\n\n[rag_prompt] \nprompt = \"Use the following pieces of context and general knowledge to answer the question at the end. If the question cannot be answered with the context, ignore the context and answer with general knowledge. If you don't know the answer, just say that you don't know, don't try to make up an answer. \\n\\n{context}\\n\\nQuestion: {question} \\nAnswer:\"\n\n[sql_prompt]\nprompt = # Table name: {tablename}\n\t# Table schema: {schema}\n\t# Table description: {table_desc}\n\t#\n\t# Example rows:\n\t#\n\t#\n\t{example}\n\t#\n\t# Given the above table, schema, and description, write an aggregate SQLite query as necessary to answer the question below. The format of dates is in YYYY/MM/DD. For a range between two dates d1 and d2, use 'BETWEEN d1 and d2'. {additional_context} Avoid using the attribute eid and use single quotes for strings. If an SQL query cannot be generated, please say 'Sorry, no result.'\n\t#\n\t# {question}\n\tSELECT\n\n[input]\nsource_idx = timeline.pkl\nviews_db = views_db.sqlite\nviews_metadata = views_metadata.txt\nviews_metadata_idx = views_idx.csv\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/create_db.sql",
    "content": "create table annual_medical_care_log(eid TEXT PRIMARY KEY,date TEXT,for_whom TEXT,type_of_care TEXT);\ncreate table daily_chat_log(eid TEXT PRIMARY KEY,date TEXT,timeofday TEXT,howlong INTEGER,friends TEXT);\ncreate table daily_exercise_log(eid TEXT PRIMARY KEY,date TEXT,exercise TEXT,heart_rate INTEGER);\ncreate table daily_meal_log(eid TEXT PRIMARY KEY,date TEXT,mealtype TEXT,foodtype TEXT,people_string TEXT);\ncreate table daily_read_log(eid TEXT PRIMARY KEY,date TEXT,readtype TEXT,howlong INTEGER);\ncreate table daily_watchtv_log(eid TEXT PRIMARY KEY,date TEXT,watchtype TEXT,howlong INTEGER);\ncreate table marriages_log(eid TEXT PRIMARY KEY,married_date TEXT,partner_name TEXT,location TEXT);\ncreate table monthly_pet_care_log(eid TEXT PRIMARY KEY,date TEXT,pet_care_type TEXT);\ncreate table moves_log(eid TEXT PRIMARY KEY,date TEXT,type_of_move TEXT, destination TEXT);\ncreate table travel_log(eid TEXT PRIMARY KEY,start_date TEXT,end_date TEXT,city TEXT,people TEXT);\ncreate table travel_dining_log(eid TEXT PRIMARY KEY,start_date TEXT,end_date TEXT,city TEXT,dining_date TEXT,food_type TEXT,food_location TEXT,place_visit_date TEXT,place TEXT,people TEXT,action TEXT,emotion TEXT);\ncreate table travel_places_visited_log(eid TEXT PRIMARY KEY,start_date TEXT,end_date TEXT,city TEXT,place_visit_date TEXT,place TEXT, people TEXT,action TEXT,emotion TEXT);\ncreate table weekly_bakeorcook_log(eid TEXT PRIMARY KEY,date TEXT,cuisine TEXT,location TEXT,people TEXT);\ncreate table weekly_dating_log(eid TEXT PRIMARY KEY,date TEXT,people_string TEXT,location TEXT);\ncreate table weekly_grocery_log(eid TEXT PRIMARY KEY,date TEXT,fruits TEXT,drinks TEXT,toiletries TEXT,people_string TEXT);\ncreate table weekly_hobby_log(eid TEXT PRIMARY KEY,date TEXT,hobbies TEXT,people_string TEXT);\n\n.mode csv\n.import annual_medical_care-log.csv annual_medical_care_log --skip 1\n.import daily_meal-log.csv  daily_meal_log --skip 1\n.import marriages-log.csv  marriages_log --skip 1\n.import travel_places_visited-log.csv  travel_places_visited_log --skip 1\n.import weekly_dating-log.csv  weekly_dating_log --skip 1\n.import daily_chat-log.csv  daily_chat_log --skip 1\n.import daily_read-log.csv  daily_read_log --skip 1\n.import monthly_pet_care-log.csv  monthly_pet_care_log --skip 1 \n.import travel-log.csv  travel_log --skip 1\n.import weekly_grocery-log.csv  weekly_grocery_log --skip 1\n.import daily_exercise-log.csv  daily_exercise_log --skip 1\n.import daily_watchtv-log.csv  daily_watchtv_log --skip 1\n.import moves-log.csv   moves_log --skip 1\n.import travel_dining-log.csv   travel_dining_log --skip 1\n.import weekly_bakeorcook-log.csv   weekly_bakeorcook_log --skip 1   \n.import weekly_hobby-log.csv   weekly_hobby_log --skip 1\n\n\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/daily_chat-log.csv",
    "content": "eid,date,timeofday,howlong,friends\ne82,2010/01/04,late in the evening,11,\"Piper, Olivia, Lydia, Piper\"\ne85,2010/01/07,late in the evening,23,\"Piper, Claire, Hazel, Kinsley\"\ne94,2010/01/11,late in the evening,37,\"Nevaeh, Piper, Olivia, Eva\"\ne96,2010/01/12,in the morning,47,Nora\ne97,2010/01/14,in the late afternoon,23,\"Nora, Lydia, Piper\"\ne100,2010/01/16,late in the evening,50,\"Olivia, Kinsley, Hazel, Nora\"\ne106,2010/01/21,in the late afternoon,11,\"Nevaeh, Piper, Olivia\"\ne117,2010/01/25,in the late afternoon,40,\"Piper, Olivia\"\ne121,2010/01/28,in the early afternoon,21,\"Lydia, Piper, Hazel, Nevaeh\"\ne127,2010/02/05,in the early evening,18,Rylee\ne129,2010/02/06,in the early evening,18,\"Lydia, Piper\"\ne132,2010/02/07,during lunch hours,35,\"Nora, Nevaeh, Lydia\"\ne139,2010/02/13,during lunch hours,47,\"Claire, Olivia\"\ne140,2010/02/14,in the early afternoon,50,\"Eva, Nora\"\ne142,2010/02/16,in the early afternoon,43,\"Olivia, Piper, Claire\"\ne148,2010/02/21,during lunch hours,11,\"Piper, Layla, Piper\"\ne152,2010/02/23,in the early afternoon,54,\"Claire, Nora, Avery\"\ne153,2010/02/24,in the early afternoon,51,\"Rylee, Layla, Claire\"\ne154,2010/02/25,in the early evening,45,\"Piper, Eva, Claire, Avery\"\ne157,2010/02/26,during lunch hours,25,Hazel\ne164,2010/03/01,late in the evening,34,\"Kinsley, Claire, Eva\"\ne169,2010/03/04,late in the evening,20,\"Claire, Eva, Avery\"\ne176,2010/03/09,in the morning,55,\"Olivia, Lydia, Avery\"\ne178,2010/03/12,during lunch hours,25,Hazel\ne181,2010/03/14,in the early afternoon,21,\"Olivia, Nevaeh, Layla, Avery\"\ne185,2010/03/17,in the morning,11,\"Nevaeh, Eva\"\ne190,2010/03/22,in the morning,34,\"Hazel, Avery, Piper\"\ne191,2010/03/23,in the early afternoon,13,Layla\ne198,2010/03/26,in the late afternoon,27,Piper\ne199,2010/03/27,in the late afternoon,7,\"Rylee, Olivia, Claire, Avery\"\ne202,2010/03/29,in the early evening,45,Piper\ne203,2010/03/30,during lunch hours,15,\"Piper, Rylee\"\ne215,2010/04/13,in the late afternoon,49,Piper\ne221,2010/04/17,during lunch hours,17,\"Lydia, Nevaeh, Piper, Kinsley\"\ne231,2010/04/26,during lunch hours,39,\"Piper, Avery, Hazel, Nora\"\ne232,2010/04/28,late in the evening,46,Piper\ne234,2010/04/29,in the morning,28,\"Piper, Claire, Hazel\"\ne238,2010/05/02,during lunch hours,46,\"Rylee, Piper\"\ne239,2010/05/03,in the late afternoon,46,Eva\ne246,2010/05/07,during lunch hours,11,\"Piper, Hazel\"\ne248,2010/05/08,late in the evening,18,\"Kinsley, Lydia\"\ne249,2010/05/10,in the early afternoon,8,\"Piper, Nora, Olivia, Kinsley\"\ne253,2010/05/13,late in the evening,33,\"Avery, Eva, Hazel, Olivia\"\ne255,2010/05/14,in the early afternoon,46,\"Claire, Lydia\"\ne259,2010/05/17,late in the evening,18,\"Avery, Hazel, Nevaeh\"\ne264,2010/05/20,in the early afternoon,14,\"Hazel, Avery, Kinsley, Eva\"\ne267,2010/05/21,late in the evening,11,\"Rylee, Layla, Olivia\"\ne268,2010/05/22,in the morning,9,\"Kinsley, Eva, Hazel, Piper\"\ne274,2010/05/27,in the late afternoon,33,\"Layla, Avery, Piper, Claire\"\ne280,2010/06/01,late in the evening,38,Rylee\ne281,2010/06/02,in the early afternoon,42,\"Eva, Nora, Olivia, Lydia\"\ne293,2010/06/11,late in the evening,12,\"Avery, Kinsley, Nevaeh\"\ne296,2010/06/13,in the early afternoon,36,Piper\ne300,2010/06/15,in the late afternoon,40,\"Claire, Layla, Piper, Hazel\"\ne303,2010/06/16,in the early afternoon,11,Olivia\ne305,2010/06/17,in the early afternoon,48,\"Eva, Rylee\"\ne306,2010/06/18,late in the evening,15,\"Eva, Lydia, Piper, Piper\"\ne310,2010/06/21,in the morning,50,\"Hazel, Avery, Kinsley\"\ne320,2010/06/29,in the early afternoon,52,Layla\ne323,2010/07/03,in the early afternoon,27,\"Avery, Hazel, Nevaeh\"\ne327,2010/07/04,in the late afternoon,44,\"Rylee, Piper, Piper\"\ne350,2010/07/16,late in the evening,10,Piper\ne358,2010/07/21,during lunch hours,39,\"Hazel, Lydia, Eva\"\ne363,2010/07/24,during lunch hours,26,\"Kinsley, Lydia\"\ne377,2010/08/05,in the morning,16,\"Layla, Nora\"\ne384,2010/08/09,late in the evening,43,\"Rylee, Kinsley, Nora\"\ne387,2010/08/11,in the morning,29,Piper\ne395,2010/08/14,in the morning,34,\"Claire, Piper, Avery, Olivia\"\ne398,2010/08/16,late in the evening,55,\"Layla, Rylee, Eva\"\ne399,2010/08/17,in the early afternoon,37,Kinsley\ne401,2010/08/18,in the late afternoon,15,\"Claire, Nevaeh, Kinsley, Piper\"\ne404,2010/08/20,late in the evening,42,\"Piper, Piper\"\ne407,2010/08/22,in the early afternoon,20,\"Piper, Claire, Hazel, Piper\"\ne410,2010/08/23,late in the evening,43,\"Claire, Layla, Piper, Hazel\"\ne413,2010/08/25,in the late afternoon,23,\"Kinsley, Eva, Olivia\"\ne416,2010/08/27,during lunch hours,17,\"Eva, Layla\"\ne424,2010/09/01,late in the evening,38,\"Layla, Kinsley, Rylee, Piper\"\ne429,2010/09/03,during lunch hours,44,\"Nora, Olivia, Eva, Claire\"\ne431,2010/09/05,in the early afternoon,52,\"Claire, Nora, Layla\"\ne435,2010/09/09,in the late afternoon,19,\"Nora, Piper\"\ne437,2010/09/10,in the late afternoon,51,\"Claire, Avery, Layla\"\ne441,2010/09/11,in the early afternoon,11,\"Lydia, Rylee, Piper, Hazel\"\ne447,2010/09/16,in the early evening,10,\"Eva, Nora, Kinsley, Claire\"\ne453,2010/09/18,in the morning,14,\"Eva, Lydia\"\ne455,2010/09/19,during lunch hours,45,\"Kinsley, Eva, Nevaeh\"\ne457,2010/09/20,late in the evening,29,\"Eva, Avery, Lydia, Piper\"\ne460,2010/09/25,in the early evening,12,Piper\ne466,2010/09/27,in the early afternoon,45,\"Kinsley, Layla\"\ne474,2010/09/30,in the morning,39,\"Olivia, Hazel, Piper, Piper\"\ne479,2010/10/04,in the late afternoon,36,\"Eva, Layla, Piper, Lydia\"\ne487,2010/10/12,in the early afternoon,16,Olivia\ne488,2010/10/13,in the morning,32,\"Rylee, Claire, Layla, Eva\"\ne497,2010/10/18,in the early evening,14,\"Kinsley, Piper\"\ne505,2010/10/23,late in the evening,11,\"Avery, Hazel, Olivia\"\ne525,2010/11/07,in the early afternoon,5,Claire\ne528,2010/11/12,in the late afternoon,46,\"Hazel, Lydia\"\ne533,2010/11/15,during lunch hours,13,\"Nora, Olivia, Nevaeh\"\ne534,2010/11/16,in the early afternoon,16,\"Layla, Olivia, Eva\"\ne540,2010/11/24,during lunch hours,40,\"Claire, Eva\"\ne544,2010/11/27,during lunch hours,34,\"Layla, Piper\"\ne549,2010/12/03,late in the evening,22,\"Nora, Eva, Nevaeh\"\ne551,2010/12/04,in the late afternoon,28,Avery\ne558,2010/12/09,late in the evening,53,\"Piper, Layla\"\ne561,2010/12/10,late in the evening,46,\"Kinsley, Nevaeh, Olivia, Piper\"\ne562,2010/12/11,in the late afternoon,45,\"Hazel, Eva\"\ne563,2010/12/12,in the morning,20,\"Kinsley, Nevaeh, Layla\"\ne570,2010/12/16,in the morning,38,\"Lydia, Olivia, Layla, Nora\"\ne572,2010/12/17,in the morning,45,\"Piper, Nevaeh, Olivia, Eva\"\ne573,2010/12/18,in the morning,23,\"Nevaeh, Rylee, Lydia, Piper\"\ne580,2010/12/23,in the early afternoon,28,\"Claire, Piper, Eva\"\ne582,2010/12/25,in the late afternoon,18,Piper\ne584,2010/12/26,in the late afternoon,52,\"Olivia, Piper\"\ne586,2010/12/28,in the early afternoon,47,\"Claire, Hazel, Eva, Kinsley\"\ne589,2010/12/29,in the early afternoon,16,\"Kinsley, Nevaeh\"\ne592,2010/12/30,in the late afternoon,16,\"Avery, Hazel, Claire, Olivia\"\ne695,2011/01/06,during lunch hours,6,\"Lydia, Hazel, Avery, Layla\"\ne700,2011/01/08,late in the evening,42,\"Eva, Piper, Kinsley, Olivia\"\ne706,2011/01/11,in the late afternoon,22,\"Claire, Lydia, Piper, Olivia\"\ne708,2011/01/12,in the early evening,12,Hazel\ne711,2011/01/13,in the early afternoon,42,\"Hazel, Avery\"\ne712,2011/01/14,in the late afternoon,48,\"Layla, Eva\"\ne714,2011/01/18,in the late afternoon,45,\"Piper, Lydia, Olivia\"\ne715,2011/01/19,in the late afternoon,33,\"Eva, Layla, Nevaeh, Piper\"\ne717,2011/01/20,during lunch hours,7,\"Layla, Nora, Nevaeh\"\ne728,2011/01/27,in the early afternoon,16,\"Lydia, Olivia, Piper\"\ne731,2011/01/28,in the early afternoon,7,\"Rylee, Lydia, Nevaeh, Nora\"\ne737,2011/02/01,in the early evening,10,\"Rylee, Piper, Nora, Olivia\"\ne739,2011/02/02,in the morning,19,\"Avery, Piper, Nora\"\ne742,2011/02/04,in the morning,45,\"Avery, Layla, Rylee, Piper\"\ne746,2011/02/06,in the morning,7,\"Olivia, Kinsley, Nevaeh, Nora\"\ne747,2011/02/07,in the late afternoon,27,\"Piper, Nora\"\ne761,2011/02/13,in the early evening,11,Nevaeh\ne763,2011/02/16,during lunch hours,43,\"Avery, Lydia\"\ne770,2011/02/21,late in the evening,44,\"Lydia, Rylee, Olivia, Nora\"\ne782,2011/03/02,in the early evening,20,\"Nevaeh, Hazel, Claire, Piper\"\ne785,2011/03/04,in the early afternoon,11,Kinsley\ne789,2011/03/06,in the late afternoon,34,Kinsley\ne790,2011/03/07,in the late afternoon,20,\"Nora, Kinsley, Hazel, Avery\"\ne798,2011/03/15,in the early afternoon,26,\"Lydia, Piper, Piper, Layla\"\ne819,2011/03/27,during lunch hours,49,\"Piper, Lydia\"\ne824,2011/03/30,in the early afternoon,37,\"Avery, Nora, Piper, Nevaeh\"\ne828,2011/04/01,in the early evening,35,\"Piper, Piper, Lydia\"\ne831,2011/04/02,during lunch hours,25,\"Kinsley, Eva\"\ne834,2011/04/05,in the late afternoon,9,\"Eva, Hazel, Rylee\"\ne838,2011/04/06,during lunch hours,18,\"Claire, Piper\"\ne840,2011/04/07,in the morning,35,\"Kinsley, Lydia\"\ne845,2011/04/10,in the early afternoon,46,\"Kinsley, Piper, Piper, Claire\"\ne847,2011/04/11,in the late afternoon,10,\"Kinsley, Rylee\"\ne854,2011/04/14,late in the evening,14,Eva\ne864,2011/04/18,during lunch hours,44,\"Piper, Kinsley, Nevaeh, Rylee\"\ne866,2011/04/20,in the early afternoon,44,\"Lydia, Layla\"\ne867,2011/04/21,in the early afternoon,14,\"Piper, Layla, Claire\"\ne870,2011/04/25,late in the evening,43,\"Olivia, Nora, Piper, Hazel\"\ne872,2011/04/26,in the late afternoon,44,\"Layla, Lydia, Avery\"\ne876,2011/04/29,in the morning,6,\"Hazel, Eva, Olivia\"\ne880,2011/04/30,in the early afternoon,48,\"Hazel, Lydia, Rylee, Avery\"\ne885,2011/05/02,in the early evening,43,\"Rylee, Kinsley, Claire, Piper\"\ne886,2011/05/03,in the early afternoon,29,\"Piper, Piper, Rylee\"\ne890,2011/05/05,in the early afternoon,41,\"Nora, Olivia, Claire, Layla\"\ne894,2011/05/10,in the late afternoon,5,\"Rylee, Lydia, Hazel, Olivia\"\ne895,2011/05/11,in the early afternoon,20,\"Hazel, Nora, Avery\"\ne901,2011/05/16,in the morning,50,\"Layla, Rylee, Nora, Nevaeh\"\ne907,2011/05/21,in the early evening,18,\"Nevaeh, Piper\"\ne910,2011/05/23,in the early afternoon,52,\"Eva, Nevaeh\"\ne912,2011/05/25,in the morning,49,\"Nora, Rylee\"\ne913,2011/05/26,late in the evening,32,\"Claire, Piper\"\ne916,2011/05/30,during lunch hours,47,Rylee\ne919,2011/06/01,in the late afternoon,34,\"Hazel, Kinsley, Lydia\"\ne926,2011/06/05,late in the evening,11,\"Piper, Nora\"\ne940,2011/06/13,in the early afternoon,20,Nora\ne943,2011/06/14,late in the evening,40,\"Avery, Rylee\"\ne949,2011/06/17,late in the evening,33,\"Nora, Hazel\"\ne951,2011/06/18,in the early afternoon,41,\"Hazel, Claire, Rylee, Olivia\"\ne956,2011/06/21,late in the evening,45,\"Kinsley, Rylee, Nevaeh, Nora\"\ne958,2011/06/22,in the early afternoon,29,\"Lydia, Eva\"\ne964,2011/06/26,in the late afternoon,49,\"Avery, Lydia\"\ne966,2011/06/29,in the morning,46,\"Piper, Layla\"\ne971,2011/06/30,in the early evening,30,\"Piper, Hazel, Piper, Layla\"\ne978,2011/07/05,during lunch hours,9,\"Kinsley, Claire, Eva, Olivia\"\ne981,2011/07/07,in the early evening,30,\"Rylee, Piper\"\ne985,2011/07/09,during lunch hours,31,\"Piper, Nevaeh, Layla\"\ne993,2011/07/13,in the morning,46,\"Nevaeh, Kinsley, Hazel\"\ne994,2011/07/14,in the early afternoon,55,\"Nevaeh, Nora, Claire\"\ne998,2011/07/17,in the early afternoon,28,\"Eva, Claire, Nevaeh\"\ne999,2011/07/18,late in the evening,8,\"Nevaeh, Lydia, Claire\"\ne1005,2011/07/22,in the early evening,47,\"Rylee, Piper, Layla\"\ne1009,2011/07/25,in the early afternoon,23,\"Layla, Avery, Olivia, Rylee\"\ne1013,2011/07/29,in the early afternoon,27,\"Nevaeh, Kinsley\"\ne1014,2011/07/30,in the morning,10,Nevaeh\ne1016,2011/07/31,during lunch hours,40,Avery\ne1018,2011/08/01,during lunch hours,41,\"Claire, Piper\"\ne1028,2011/08/07,in the early afternoon,49,Rylee\ne1035,2011/08/13,in the early evening,17,\"Lydia, Rylee, Eva\"\ne1039,2011/08/15,in the morning,25,\"Hazel, Kinsley, Rylee\"\ne1043,2011/08/18,in the early evening,7,\"Hazel, Layla, Kinsley, Piper\"\ne1049,2011/08/22,in the early evening,8,\"Claire, Eva\"\ne1064,2011/08/31,late in the evening,15,\"Claire, Kinsley, Olivia, Avery\"\ne1067,2011/09/02,in the early afternoon,23,Claire\ne1074,2011/09/09,late in the evening,39,\"Avery, Hazel, Olivia\"\ne1078,2011/09/11,in the morning,40,\"Claire, Hazel, Olivia, Piper\"\ne1079,2011/09/12,during lunch hours,20,\"Layla, Piper, Claire\"\ne1085,2011/09/16,late in the evening,53,Hazel\ne1091,2011/09/18,late in the evening,12,\"Hazel, Lydia, Nevaeh, Piper\"\ne1094,2011/09/19,in the late afternoon,17,\"Olivia, Layla, Eva\"\ne1095,2011/09/20,during lunch hours,20,\"Layla, Avery, Piper, Nora\"\ne1098,2011/09/22,in the early afternoon,29,\"Avery, Lydia, Rylee, Olivia\"\ne1104,2011/09/25,during lunch hours,55,\"Layla, Avery, Nora, Claire\"\ne1110,2011/09/28,late in the evening,9,\"Avery, Rylee\"\ne1112,2011/09/30,late in the evening,23,\"Olivia, Piper, Piper\"\ne1116,2011/10/03,in the late afternoon,5,\"Nevaeh, Rylee, Eva\"\ne1126,2011/10/10,in the early afternoon,43,\"Nevaeh, Lydia\"\ne1132,2011/10/14,during lunch hours,55,\"Rylee, Piper, Avery\"\ne1140,2011/10/19,in the early evening,31,\"Claire, Eva, Hazel, Avery\"\ne1155,2011/11/01,in the late afternoon,27,\"Kinsley, Piper\"\ne1156,2011/11/02,in the early afternoon,22,\"Piper, Claire, Nevaeh\"\ne1161,2011/11/07,in the early evening,25,\"Nevaeh, Nora, Avery, Rylee\"\ne1163,2011/11/09,in the early evening,28,Kinsley\ne1166,2011/11/11,in the early evening,30,\"Nora, Layla, Hazel\"\ne1170,2011/11/16,during lunch hours,24,Piper\ne1175,2011/11/20,late in the evening,40,\"Piper, Kinsley\"\ne1185,2011/11/29,in the early evening,15,\"Piper, Eva\"\ne1196,2011/12/05,in the morning,30,\"Avery, Eva, Nora\"\ne1198,2011/12/06,in the morning,41,Avery\ne1199,2011/12/07,late in the evening,40,\"Piper, Claire\"\ne1202,2011/12/08,in the morning,29,\"Nevaeh, Piper, Piper\"\ne1203,2011/12/09,in the early afternoon,24,Lydia\ne1205,2011/12/11,late in the evening,28,Kinsley\ne1210,2011/12/15,in the morning,41,\"Nora, Claire, Olivia, Kinsley\"\ne1213,2011/12/18,during lunch hours,49,\"Piper, Hazel, Kinsley, Eva\"\ne1214,2011/12/19,late in the evening,15,Eva\ne1218,2011/12/22,in the early afternoon,44,\"Olivia, Piper\"\ne1219,2011/12/24,in the early afternoon,6,Nora\ne1322,2012/01/08,during lunch hours,42,\"Nevaeh, Avery\"\ne1326,2012/01/12,in the early afternoon,44,Rylee\ne1344,2012/01/31,late in the evening,5,\"Hazel, Nevaeh\"\ne1347,2012/02/02,during lunch hours,33,\"Rylee, Eva, Kinsley\"\ne1351,2012/02/06,in the early afternoon,39,Nevaeh\ne1353,2012/02/07,during lunch hours,37,\"Eva, Kinsley\"\ne1354,2012/02/08,in the early evening,29,\"Nevaeh, Olivia, Piper\"\ne1356,2012/02/09,in the early evening,35,\"Piper, Lydia, Avery, Nora\"\ne1364,2012/02/13,in the late afternoon,47,\"Lydia, Nevaeh, Piper\"\ne1366,2012/02/15,late in the evening,42,\"Nora, Lydia, Kinsley, Layla\"\ne1385,2012/03/04,late in the evening,9,\"Hazel, Eva, Avery, Kinsley\"\ne1396,2012/03/10,in the morning,11,Piper\ne1399,2012/03/12,in the morning,14,\"Hazel, Piper, Kinsley, Avery\"\ne1401,2012/03/14,in the morning,26,\"Piper, Lydia, Olivia, Hazel\"\ne1402,2012/03/15,in the early afternoon,36,\"Hazel, Rylee\"\ne1404,2012/03/16,in the late afternoon,29,\"Nora, Claire, Rylee, Layla\"\ne1407,2012/03/17,in the early evening,44,\"Claire, Layla, Nevaeh\"\ne1410,2012/03/20,in the morning,53,\"Olivia, Nora, Lydia, Kinsley\"\ne1421,2012/03/26,in the early afternoon,9,\"Rylee, Piper\"\ne1440,2012/04/11,in the early evening,12,\"Piper, Hazel\"\ne1447,2012/04/15,late in the evening,50,Lydia\ne1449,2012/04/18,in the early afternoon,40,\"Layla, Eva, Nevaeh\"\ne1468,2012/04/28,during lunch hours,50,Eva\ne1472,2012/05/01,in the early evening,9,Hazel\ne1476,2012/05/05,in the morning,19,\"Nora, Piper\"\ne1481,2012/05/07,in the early evening,53,Layla\ne1485,2012/05/12,in the early afternoon,29,\"Piper, Kinsley, Avery, Nevaeh\"\ne1491,2012/05/15,in the morning,41,\"Nora, Nevaeh, Olivia\"\ne1499,2012/05/20,in the early afternoon,32,\"Olivia, Piper, Piper\"\ne1504,2012/05/23,in the early afternoon,16,Lydia\ne1510,2012/05/27,in the early afternoon,21,\"Piper, Eva\"\ne1514,2012/05/28,in the early evening,22,Piper\ne1517,2012/05/30,late in the evening,40,\"Nora, Rylee, Hazel, Olivia\"\ne1518,2012/05/31,during lunch hours,53,\"Kinsley, Nevaeh, Hazel, Eva\"\ne1522,2012/06/03,in the morning,34,\"Avery, Kinsley, Claire\"\ne1523,2012/06/04,during lunch hours,18,\"Kinsley, Layla\"\ne1529,2012/06/07,in the early evening,39,Layla\ne1530,2012/06/08,in the morning,34,\"Olivia, Eva, Nevaeh, Claire\"\ne1535,2012/06/10,during lunch hours,36,\"Olivia, Nora, Piper, Avery\"\ne1537,2012/06/11,in the early evening,12,Olivia\ne1539,2012/06/12,in the morning,54,\"Rylee, Lydia, Kinsley, Claire\"\ne1541,2012/06/13,in the late afternoon,50,\"Lydia, Hazel, Layla\"\ne1542,2012/06/15,in the early afternoon,46,Hazel\ne1544,2012/06/16,in the morning,39,Claire\ne1551,2012/06/21,during lunch hours,5,\"Avery, Olivia\"\ne1553,2012/06/22,in the early afternoon,46,\"Olivia, Hazel, Rylee\"\ne1557,2012/06/26,in the morning,43,Layla\ne1563,2012/06/28,in the early afternoon,10,Rylee\ne1566,2012/06/30,during lunch hours,13,\"Nevaeh, Olivia, Piper\"\ne1569,2012/07/01,late in the evening,52,\"Piper, Eva\"\ne1572,2012/07/02,late in the evening,46,\"Nevaeh, Olivia\"\ne1576,2012/07/06,during lunch hours,34,\"Hazel, Piper, Nora\"\ne1581,2012/07/09,in the early evening,28,\"Hazel, Olivia\"\ne1584,2012/07/11,in the late afternoon,48,\"Hazel, Nora, Lydia\"\ne1585,2012/07/12,late in the evening,23,\"Kinsley, Eva, Layla, Avery\"\ne1587,2012/07/13,in the morning,51,\"Piper, Lydia, Nevaeh\"\ne1589,2012/07/14,in the early evening,31,\"Eva, Nora\"\ne1592,2012/07/17,in the early evening,5,\"Nevaeh, Lydia\"\ne1597,2012/07/23,in the early evening,9,\"Nora, Piper\"\ne1598,2012/07/24,in the late afternoon,11,\"Lydia, Kinsley, Claire\"\ne1607,2012/07/30,late in the evening,31,\"Eva, Avery, Claire\"\ne1613,2012/08/03,in the early afternoon,21,\"Lydia, Eva, Olivia, Claire\"\ne1616,2012/08/05,in the morning,19,\"Olivia, Lydia, Rylee\"\ne1622,2012/08/09,in the early evening,54,\"Eva, Avery, Rylee\"\ne1624,2012/08/10,late in the evening,7,\"Lydia, Olivia\"\ne1625,2012/08/11,in the morning,54,\"Kinsley, Avery, Nora\"\ne1627,2012/08/12,in the early afternoon,23,Piper\ne1631,2012/08/14,in the morning,14,\"Nora, Olivia, Piper\"\ne1638,2012/08/17,in the morning,44,\"Kinsley, Nora, Eva, Layla\"\ne1640,2012/08/19,in the morning,16,\"Olivia, Claire\"\ne1641,2012/08/20,in the early afternoon,48,\"Piper, Piper, Nevaeh, Hazel\"\ne1643,2012/08/22,late in the evening,51,\"Kinsley, Olivia, Rylee, Piper\"\ne1646,2012/08/23,in the early evening,50,\"Hazel, Lydia\"\ne1651,2012/08/27,in the early afternoon,20,\"Layla, Eva, Claire, Avery\"\ne1657,2012/09/01,in the early afternoon,12,\"Avery, Piper\"\ne1658,2012/09/02,late in the evening,27,Nevaeh\ne1663,2012/09/06,in the late afternoon,47,\"Rylee, Nevaeh, Piper\"\ne1669,2012/09/10,late in the evening,18,\"Piper, Olivia, Nora\"\ne1673,2012/09/11,in the morning,31,\"Claire, Eva, Piper\"\ne1677,2012/09/13,in the early evening,54,\"Lydia, Nora, Hazel\"\ne1680,2012/09/17,in the early evening,10,\"Nevaeh, Hazel, Layla, Eva\"\ne1681,2012/09/18,late in the evening,35,\"Nevaeh, Lydia\"\ne1686,2012/09/20,in the morning,51,\"Olivia, Nora, Eva\"\ne1687,2012/09/21,in the morning,29,\"Rylee, Lydia, Olivia\"\ne1690,2012/09/23,in the late afternoon,6,\"Kinsley, Claire, Piper, Nevaeh\"\ne1695,2012/09/25,late in the evening,16,\"Nora, Eva, Avery, Rylee\"\ne1698,2012/09/26,late in the evening,49,Piper\ne1700,2012/09/27,in the early evening,51,Eva\ne1703,2012/09/28,in the early afternoon,51,\"Avery, Layla\"\ne1707,2012/09/29,late in the evening,21,\"Eva, Piper\"\ne1711,2012/09/30,in the late afternoon,18,\"Kinsley, Nora, Eva, Layla\"\ne1717,2012/10/03,late in the evening,9,Piper\ne1722,2012/10/05,in the early afternoon,8,\"Kinsley, Piper, Layla\"\ne1725,2012/10/07,in the late afternoon,41,\"Piper, Piper\"\ne1738,2012/10/12,during lunch hours,51,\"Lydia, Rylee\"\ne1742,2012/10/13,during lunch hours,52,\"Rylee, Eva, Layla, Nora\"\ne1743,2012/10/15,in the morning,5,\"Piper, Rylee, Hazel, Nevaeh\"\ne1745,2012/10/16,in the early afternoon,50,\"Nora, Hazel, Lydia, Claire\"\ne1748,2012/10/18,in the early evening,22,Avery\ne1751,2012/10/22,in the early afternoon,44,\"Piper, Rylee\"\ne1766,2012/11/01,in the early afternoon,50,\"Nevaeh, Olivia\"\ne1769,2012/11/02,in the late afternoon,48,Olivia\ne1771,2012/11/04,in the early afternoon,45,\"Nora, Olivia, Kinsley\"\ne1774,2012/11/05,in the late afternoon,51,\"Claire, Avery, Lydia, Nevaeh\"\ne1787,2012/11/13,in the early evening,27,\"Piper, Nora\"\ne1798,2012/11/20,late in the evening,24,Layla\ne1804,2012/11/24,in the morning,54,\"Avery, Piper\"\ne1810,2012/11/28,in the early evening,32,Hazel\ne1814,2012/11/30,late in the evening,43,\"Layla, Piper\"\ne1817,2012/12/01,during lunch hours,32,\"Avery, Piper\"\ne1822,2012/12/08,in the morning,52,\"Lydia, Rylee\"\ne1829,2012/12/11,in the late afternoon,55,\"Claire, Kinsley, Hazel\"\ne1830,2012/12/12,during lunch hours,54,Nevaeh\ne1838,2012/12/15,in the late afternoon,34,\"Claire, Eva\"\ne1848,2012/12/20,in the morning,39,\"Lydia, Eva, Layla, Nevaeh\"\ne1849,2012/12/21,in the early evening,20,\"Nora, Hazel\"\ne1851,2012/12/22,in the morning,32,Kinsley\ne1857,2012/12/28,in the morning,19,Eva\ne1860,2012/12/29,late in the evening,9,\"Piper, Kinsley, Avery, Lydia\"\ne1863,2012/12/30,in the late afternoon,45,\"Lydia, Hazel\"\ne1952,2013/01/01,late in the evening,51,\"Layla, Hazel, Piper, Nora\"\ne1954,2013/01/02,in the early evening,33,Olivia\ne1963,2013/01/09,in the morning,44,Kinsley\ne1968,2013/01/11,in the early afternoon,25,\"Nevaeh, Piper, Rylee, Layla\"\ne1971,2013/01/12,in the early afternoon,18,\"Nevaeh, Lydia, Piper, Rylee\"\ne1975,2013/01/13,late in the evening,33,\"Nevaeh, Rylee, Layla, Piper\"\ne1981,2013/01/15,late in the evening,5,\"Layla, Piper, Olivia, Hazel\"\ne1991,2013/01/27,in the early evening,52,\"Hazel, Olivia, Lydia, Piper\"\ne1993,2013/01/28,in the late afternoon,39,\"Nevaeh, Lydia\"\ne1997,2013/01/31,late in the evening,20,\"Layla, Hazel\"\ne2009,2013/02/10,in the late afternoon,41,\"Claire, Layla, Nora, Avery\"\ne2011,2013/02/15,in the early afternoon,12,\"Claire, Eva\"\ne2014,2013/02/18,in the early evening,39,Avery\ne2017,2013/02/19,in the early afternoon,44,\"Piper, Layla, Rylee, Hazel\"\ne2029,2013/03/01,in the early afternoon,23,Hazel\ne2033,2013/03/03,in the morning,47,\"Layla, Claire, Lydia, Nora\"\ne2040,2013/03/09,in the early afternoon,28,Nora\ne2043,2013/03/11,in the late afternoon,41,\"Lydia, Rylee, Olivia, Piper\"\ne2045,2013/03/12,in the early afternoon,27,Hazel\ne2048,2013/03/14,during lunch hours,25,\"Nevaeh, Nora, Rylee, Piper\"\ne2051,2013/03/15,late in the evening,23,\"Nora, Claire\"\ne2053,2013/03/17,late in the evening,40,\"Layla, Rylee\"\ne2056,2013/03/18,in the early afternoon,40,\"Olivia, Avery, Eva, Hazel\"\ne2057,2013/03/19,in the late afternoon,20,Claire\ne2062,2013/03/21,during lunch hours,55,\"Claire, Hazel, Piper, Nevaeh\"\ne2065,2013/03/22,in the late afternoon,36,\"Claire, Lydia, Hazel\"\ne2066,2013/03/23,late in the evening,30,\"Olivia, Nora, Nevaeh\"\ne2067,2013/03/24,in the early afternoon,33,\"Nevaeh, Piper, Layla, Olivia\"\ne2071,2013/03/25,in the early afternoon,42,Olivia\ne2077,2013/03/27,during lunch hours,51,Claire\ne2082,2013/03/30,late in the evening,26,\"Nevaeh, Hazel\"\ne2083,2013/03/31,in the late afternoon,6,\"Eva, Piper, Claire\"\ne2084,2013/04/01,in the late afternoon,51,\"Layla, Olivia, Kinsley, Piper\"\ne2085,2013/04/02,late in the evening,49,\"Nevaeh, Lydia, Eva, Kinsley\"\ne2089,2013/04/04,in the late afternoon,25,\"Rylee, Eva, Claire\"\ne2097,2013/04/09,in the morning,32,\"Eva, Rylee, Nevaeh\"\ne2100,2013/04/11,in the early afternoon,35,\"Eva, Claire, Layla, Kinsley\"\ne2108,2013/04/15,during lunch hours,19,\"Rylee, Claire\"\ne2109,2013/04/17,in the early afternoon,38,\"Kinsley, Eva, Rylee\"\ne2112,2013/04/19,in the morning,46,\"Layla, Kinsley, Eva, Rylee\"\ne2120,2013/04/21,during lunch hours,29,\"Claire, Kinsley, Nora\"\ne2126,2013/04/25,in the early evening,11,\"Olivia, Eva\"\ne2130,2013/04/29,in the early afternoon,14,\"Kinsley, Eva, Piper\"\ne2134,2013/05/01,during lunch hours,5,\"Nevaeh, Avery, Eva, Kinsley\"\ne2140,2013/05/06,in the early afternoon,37,Piper\ne2146,2013/05/09,in the early evening,50,\"Avery, Claire\"\ne2150,2013/05/11,late in the evening,40,\"Piper, Nora, Layla\"\ne2153,2013/05/12,late in the evening,34,Nevaeh\ne2155,2013/05/13,in the early evening,24,Eva\ne2159,2013/05/17,in the early afternoon,52,\"Claire, Hazel, Nevaeh, Rylee\"\ne2160,2013/05/18,in the early afternoon,5,Hazel\ne2166,2013/05/23,in the early evening,52,Kinsley\ne2170,2013/05/25,during lunch hours,8,Piper\ne2176,2013/05/30,in the late afternoon,54,Avery\ne2184,2013/06/05,in the late afternoon,50,\"Kinsley, Piper, Olivia\"\ne2189,2013/06/07,in the early evening,53,\"Olivia, Eva\"\ne2194,2013/06/09,in the early evening,50,\"Piper, Nora, Lydia, Piper\"\ne2199,2013/06/10,during lunch hours,26,\"Claire, Olivia\"\ne2207,2013/06/14,during lunch hours,14,\"Kinsley, Eva, Piper, Lydia\"\ne2214,2013/06/16,in the early afternoon,52,\"Lydia, Avery, Rylee\"\ne2217,2013/06/17,in the morning,32,Layla\ne2226,2013/06/23,in the early afternoon,5,\"Avery, Piper, Nora\"\ne2230,2013/06/24,in the early afternoon,19,Hazel\ne2232,2013/06/26,in the early evening,7,\"Layla, Nora, Kinsley\"\ne2235,2013/06/29,in the morning,17,\"Avery, Rylee, Layla\"\ne2240,2013/07/01,during lunch hours,45,Nora\ne2244,2013/07/02,in the morning,54,\"Avery, Lydia, Layla, Rylee\"\ne2250,2013/07/04,in the morning,10,\"Nevaeh, Piper, Rylee\"\ne2252,2013/07/05,in the early evening,32,\"Piper, Avery, Hazel, Piper\"\ne2253,2013/07/07,during lunch hours,13,\"Piper, Hazel, Piper, Nevaeh\"\ne2255,2013/07/10,during lunch hours,23,\"Avery, Claire, Piper, Eva\"\ne2261,2013/07/15,late in the evening,26,\"Eva, Rylee, Piper, Piper\"\ne2263,2013/07/16,in the early afternoon,49,\"Avery, Layla, Olivia\"\ne2265,2013/07/18,late in the evening,14,Layla\ne2268,2013/07/20,during lunch hours,8,\"Eva, Nora, Rylee, Piper\"\ne2272,2013/07/27,late in the evening,11,\"Eva, Lydia, Rylee, Nevaeh\"\ne2274,2013/07/29,in the late afternoon,6,\"Layla, Piper, Nora, Lydia\"\ne2279,2013/07/31,late in the evening,24,Eva\ne2285,2013/08/02,during lunch hours,5,\"Nevaeh, Piper, Kinsley\"\ne2288,2013/08/04,in the early evening,54,\"Eva, Rylee, Piper, Hazel\"\ne2293,2013/08/07,in the morning,17,Nora\ne2296,2013/08/08,in the early evening,20,Layla\ne2305,2013/08/14,in the early afternoon,11,\"Nora, Rylee, Olivia, Nevaeh\"\ne2306,2013/08/15,in the early evening,36,Piper\ne2311,2013/08/17,in the early evening,39,\"Avery, Piper, Lydia\"\ne2318,2013/08/24,in the morning,51,\"Hazel, Nora, Avery\"\ne2319,2013/08/25,in the morning,33,\"Nevaeh, Rylee\"\ne2320,2013/08/26,in the early afternoon,53,\"Rylee, Claire, Nevaeh, Layla\"\ne2321,2013/08/27,in the late afternoon,5,\"Piper, Layla, Olivia\"\ne2322,2013/08/28,late in the evening,6,Avery\ne2324,2013/08/29,late in the evening,32,\"Piper, Nevaeh, Olivia, Layla\"\ne2327,2013/08/30,in the late afternoon,48,\"Claire, Nora, Layla\"\ne2330,2013/08/31,late in the evening,17,Olivia\ne2332,2013/09/01,in the early afternoon,39,Claire\ne2334,2013/09/03,in the morning,32,\"Lydia, Hazel\"\ne2335,2013/09/04,late in the evening,53,Lydia\ne2336,2013/09/06,in the late afternoon,47,\"Hazel, Lydia\"\ne2343,2013/09/12,in the early evening,25,\"Nora, Piper, Avery, Eva\"\ne2346,2013/09/13,during lunch hours,32,\"Piper, Nevaeh, Piper, Hazel\"\ne2357,2013/09/20,in the late afternoon,54,\"Rylee, Hazel, Nora\"\ne2360,2013/09/22,during lunch hours,28,\"Eva, Olivia\"\ne2362,2013/09/23,in the early evening,17,\"Nora, Claire, Piper, Avery\"\ne2364,2013/09/24,in the morning,5,Rylee\ne2369,2013/09/26,in the late afternoon,37,\"Layla, Hazel, Rylee, Avery\"\ne2371,2013/09/27,late in the evening,53,\"Nora, Lydia\"\ne2374,2013/09/28,in the late afternoon,55,\"Piper, Eva, Layla, Piper\"\ne2377,2013/09/29,in the early evening,43,\"Piper, Nevaeh, Layla\"\ne2386,2013/10/03,in the early afternoon,24,Claire\ne2392,2013/10/08,in the late afternoon,41,Hazel\ne2394,2013/10/11,in the late afternoon,20,\"Olivia, Rylee, Nevaeh\"\ne2396,2013/10/12,late in the evening,5,Olivia\ne2403,2013/10/16,in the early afternoon,19,\"Piper, Rylee, Claire, Piper\"\ne2407,2013/10/17,in the early afternoon,41,\"Lydia, Hazel, Kinsley\"\ne2410,2013/10/19,in the early evening,10,\"Avery, Piper, Hazel, Rylee\"\ne2418,2013/10/25,in the early afternoon,36,Rylee\ne2441,2013/11/10,in the late afternoon,28,\"Lydia, Claire, Rylee, Hazel\"\ne2444,2013/11/15,in the late afternoon,19,Avery\ne2446,2013/11/16,in the early evening,44,Eva\ne2448,2013/11/17,in the morning,42,\"Layla, Nora\"\ne2450,2013/11/18,in the early evening,12,\"Eva, Kinsley, Layla, Piper\"\ne2459,2013/11/27,in the morning,22,Claire\ne2462,2013/11/28,in the early afternoon,47,\"Rylee, Hazel, Piper\"\ne2466,2013/11/30,in the early evening,19,\"Lydia, Claire\"\ne2467,2013/12/01,in the early evening,7,Eva\ne2474,2013/12/07,during lunch hours,10,\"Layla, Olivia\"\ne2481,2013/12/11,during lunch hours,47,Eva\ne2485,2013/12/14,in the morning,31,\"Layla, Avery, Piper\"\ne2487,2013/12/15,during lunch hours,29,Hazel\ne2501,2013/12/27,in the late afternoon,52,Layla\ne2599,2014/01/04,in the morning,14,\"Piper, Piper, Nevaeh\"\ne2601,2014/01/05,in the early afternoon,25,\"Kinsley, Claire\"\ne2603,2014/01/06,in the early evening,6,Piper\ne2606,2014/01/07,in the early afternoon,6,Piper\ne2610,2014/01/09,in the morning,26,\"Piper, Lydia, Olivia\"\ne2612,2014/01/12,in the late afternoon,55,\"Kinsley, Olivia, Lydia\"\ne2615,2014/01/14,in the morning,38,Rylee\ne2620,2014/01/17,in the morning,11,\"Avery, Olivia, Layla\"\ne2625,2014/01/20,late in the evening,34,\"Piper, Piper, Nora\"\ne2627,2014/01/22,in the early evening,19,\"Olivia, Avery, Piper, Layla\"\ne2629,2014/01/23,late in the evening,43,\"Avery, Rylee, Kinsley, Piper\"\ne2632,2014/01/26,during lunch hours,42,Lydia\ne2637,2014/02/01,in the early evening,11,\"Avery, Layla, Olivia\"\ne2639,2014/02/03,in the late afternoon,45,\"Olivia, Piper\"\ne2643,2014/02/04,in the late afternoon,35,Piper\ne2646,2014/02/07,late in the evening,31,Eva\ne2648,2014/02/08,in the late afternoon,21,Avery\ne2652,2014/02/09,in the early afternoon,17,\"Nevaeh, Piper\"\ne2655,2014/02/13,late in the evening,40,\"Hazel, Claire, Olivia, Layla\"\ne2659,2014/02/16,late in the evening,10,\"Lydia, Claire\"\ne2664,2014/02/18,in the morning,45,\"Rylee, Lydia, Eva, Avery\"\ne2671,2014/02/25,late in the evening,15,\"Olivia, Claire, Kinsley\"\ne2672,2014/02/26,in the early evening,5,\"Avery, Olivia, Lydia\"\ne2675,2014/02/27,in the early afternoon,17,\"Hazel, Rylee\"\ne2678,2014/03/01,in the morning,13,\"Eva, Kinsley, Piper\"\ne2679,2014/03/02,in the morning,9,\"Nevaeh, Kinsley\"\ne2680,2014/03/04,late in the evening,41,\"Olivia, Nevaeh, Lydia, Rylee\"\ne2686,2014/03/09,in the early afternoon,49,\"Piper, Nevaeh\"\ne2688,2014/03/11,in the early evening,26,\"Hazel, Avery, Nevaeh, Olivia\"\ne2690,2014/03/12,during lunch hours,31,\"Kinsley, Olivia, Nora, Hazel\"\ne2696,2014/03/15,during lunch hours,53,\"Hazel, Nevaeh\"\ne2700,2014/03/16,in the early afternoon,45,Hazel\ne2701,2014/03/17,in the early afternoon,48,Piper\ne2705,2014/03/19,in the early evening,49,\"Nevaeh, Hazel, Rylee, Claire\"\ne2707,2014/03/20,in the late afternoon,53,\"Hazel, Lydia\"\ne2713,2014/03/22,in the early evening,32,\"Layla, Nora, Hazel, Rylee\"\ne2720,2014/03/26,in the late afternoon,45,\"Layla, Lydia\"\ne2725,2014/03/28,late in the evening,15,\"Avery, Layla\"\ne2729,2014/03/30,late in the evening,24,\"Olivia, Rylee\"\ne2732,2014/03/31,in the late afternoon,17,\"Eva, Layla, Nevaeh\"\ne2744,2014/04/06,in the morning,19,\"Piper, Hazel\"\ne2745,2014/04/07,in the early afternoon,5,\"Avery, Rylee, Kinsley\"\ne2752,2014/04/10,in the early evening,19,Hazel\ne2754,2014/04/11,in the early evening,40,\"Eva, Claire\"\ne2755,2014/04/12,in the early afternoon,54,\"Lydia, Piper\"\ne2766,2014/04/18,in the early evening,19,Avery\ne2769,2014/04/19,during lunch hours,17,\"Eva, Piper, Rylee, Nora\"\ne2771,2014/04/20,in the morning,48,\"Lydia, Claire\"\ne2780,2014/04/25,in the early evening,17,\"Rylee, Piper\"\ne2785,2014/04/29,late in the evening,51,Nora\ne2789,2014/05/02,during lunch hours,18,\"Piper, Eva\"\ne2796,2014/05/06,in the early evening,27,\"Piper, Lydia, Eva\"\ne2803,2014/05/10,during lunch hours,43,Olivia\ne2812,2014/05/15,in the morning,28,\"Rylee, Olivia, Layla, Eva\"\ne2813,2014/05/16,late in the evening,50,\"Kinsley, Piper\"\ne2816,2014/05/18,in the early evening,48,\"Eva, Rylee\"\ne2825,2014/05/23,in the early afternoon,12,\"Nevaeh, Rylee, Eva, Layla\"\ne2826,2014/05/24,during lunch hours,35,\"Layla, Nora, Eva\"\ne2833,2014/05/26,in the late afternoon,23,\"Claire, Piper, Kinsley, Hazel\"\ne2842,2014/06/01,late in the evening,36,\"Kinsley, Layla\"\ne2850,2014/06/05,in the morning,20,\"Kinsley, Hazel, Rylee, Lydia\"\ne2861,2014/06/13,in the morning,7,Claire\ne2870,2014/06/22,in the early evening,51,\"Nora, Hazel, Piper\"\ne2877,2014/06/27,in the late afternoon,16,\"Piper, Nevaeh\"\ne2882,2014/07/01,late in the evening,15,Olivia\ne2886,2014/07/03,during lunch hours,45,\"Rylee, Kinsley, Lydia, Nevaeh\"\ne2892,2014/07/09,in the early evening,28,\"Eva, Layla\"\ne2899,2014/07/14,in the late afternoon,47,\"Layla, Rylee, Kinsley\"\ne2907,2014/07/22,in the morning,20,Nevaeh\ne2910,2014/07/23,late in the evening,53,\"Hazel, Claire\"\ne2914,2014/07/29,during lunch hours,11,\"Kinsley, Avery\"\ne2917,2014/07/31,in the late afternoon,12,\"Kinsley, Lydia, Avery\"\ne2924,2014/08/04,during lunch hours,29,\"Nevaeh, Lydia, Hazel\"\ne2925,2014/08/06,in the early afternoon,45,\"Lydia, Layla, Piper, Claire\"\ne2933,2014/08/13,in the early afternoon,16,\"Kinsley, Avery, Nora, Claire\"\ne2946,2014/08/20,in the late afternoon,30,\"Piper, Eva, Kinsley, Nevaeh\"\ne2957,2014/08/26,in the late afternoon,42,Nevaeh\ne2965,2014/08/30,in the morning,44,\"Piper, Eva, Olivia\"\ne2967,2014/08/31,in the early evening,32,Rylee\ne2976,2014/09/07,late in the evening,19,\"Lydia, Piper\"\ne2979,2014/09/08,in the morning,13,\"Layla, Kinsley, Avery, Piper\"\ne2983,2014/09/10,in the early afternoon,40,\"Layla, Avery, Eva, Lydia\"\ne2992,2014/09/15,in the late afternoon,26,\"Kinsley, Eva, Olivia\"\ne2996,2014/09/16,late in the evening,12,\"Hazel, Claire, Rylee\"\ne3009,2014/09/24,in the early afternoon,53,Rylee\ne3014,2014/09/28,in the early evening,9,\"Eva, Rylee, Nora\"\ne3024,2014/10/06,in the morning,34,\"Kinsley, Nora\"\ne3029,2014/10/13,in the early evening,11,\"Eva, Layla\"\ne3031,2014/10/15,during lunch hours,52,Rylee\ne3033,2014/10/17,during lunch hours,5,\"Nevaeh, Hazel, Nora\"\ne3035,2014/10/22,late in the evening,21,Nora\ne3038,2014/10/24,in the early afternoon,53,\"Piper, Olivia\"\ne3043,2014/10/26,in the early evening,38,Rylee\ne3046,2014/10/27,in the morning,33,\"Lydia, Olivia, Piper, Nora\"\ne3053,2014/10/30,in the late afternoon,19,\"Olivia, Rylee, Hazel\"\ne3058,2014/11/03,in the early afternoon,26,\"Layla, Nevaeh\"\ne3068,2014/11/10,during lunch hours,40,\"Piper, Layla, Rylee, Piper\"\ne3076,2014/11/15,late in the evening,43,Kinsley\ne3080,2014/11/17,in the late afternoon,7,\"Nora, Rylee\"\ne3084,2014/11/20,in the morning,39,Piper\ne3090,2014/11/24,late in the evening,11,Claire\ne3093,2014/11/25,in the early afternoon,7,\"Kinsley, Lydia, Avery, Piper\"\ne3101,2014/11/29,during lunch hours,26,\"Claire, Hazel, Lydia, Eva\"\ne3106,2014/12/05,in the early afternoon,34,\"Layla, Claire, Eva, Lydia\"\ne3108,2014/12/06,late in the evening,36,\"Avery, Rylee\"\ne3110,2014/12/07,in the morning,6,Lydia\ne3114,2014/12/10,in the early afternoon,45,\"Hazel, Layla\"\ne3118,2014/12/12,in the late afternoon,52,\"Rylee, Olivia, Piper, Nora\"\ne3121,2014/12/14,in the early afternoon,49,\"Nevaeh, Eva\"\ne3126,2014/12/16,in the morning,27,Piper\ne3133,2014/12/19,in the early evening,21,\"Claire, Layla\"\ne3134,2014/12/20,during lunch hours,25,\"Claire, Hazel, Lydia, Nevaeh\"\ne3138,2014/12/22,in the early afternoon,5,\"Nora, Hazel, Eva\"\ne3141,2014/12/23,in the early afternoon,53,\"Nora, Lydia, Hazel, Olivia\"\ne3142,2014/12/24,during lunch hours,12,Eva\ne3147,2014/12/29,in the morning,35,Avery\ne3240,2015/01/04,during lunch hours,13,\"Claire, Rylee, Kinsley, Layla\"\ne3243,2015/01/06,in the late afternoon,12,\"Eva, Piper, Kinsley\"\ne3246,2015/01/07,in the morning,39,Lydia\ne3254,2015/01/13,in the late afternoon,49,\"Hazel, Nora, Layla, Eva\"\ne3256,2015/01/14,in the morning,42,\"Olivia, Rylee, Kinsley, Nora\"\ne3258,2015/01/15,late in the evening,11,\"Eva, Nora\"\ne3265,2015/01/22,during lunch hours,45,\"Piper, Piper, Eva\"\ne3267,2015/01/24,in the early evening,39,\"Nora, Nevaeh, Rylee\"\ne3270,2015/01/26,in the early afternoon,11,\"Nevaeh, Nora\"\ne3272,2015/01/28,during lunch hours,10,Claire\ne3275,2015/01/30,in the morning,36,Lydia\ne3278,2015/01/31,in the early evening,17,Kinsley\ne3280,2015/02/01,late in the evening,18,Nora\ne3289,2015/02/04,late in the evening,6,Claire\ne3292,2015/02/06,in the early evening,34,\"Lydia, Rylee, Claire, Olivia\"\ne3297,2015/02/09,in the early afternoon,38,\"Layla, Hazel\"\ne3300,2015/02/11,late in the evening,45,\"Layla, Hazel, Rylee\"\ne3309,2015/02/15,late in the evening,8,Nora\ne3311,2015/02/17,in the morning,21,Layla\ne3317,2015/02/26,in the late afternoon,37,Hazel\ne3321,2015/02/27,during lunch hours,9,Avery\ne3330,2015/03/03,in the early evening,34,\"Avery, Piper, Eva, Kinsley\"\ne3336,2015/03/08,during lunch hours,29,\"Piper, Layla\"\ne3341,2015/03/11,in the early evening,41,Piper\ne3345,2015/03/13,during lunch hours,35,\"Lydia, Olivia\"\ne3346,2015/03/14,in the morning,29,Hazel\ne3355,2015/03/20,in the early evening,6,Avery\ne3359,2015/03/22,in the morning,13,\"Piper, Hazel, Layla, Claire\"\ne3362,2015/03/25,in the early evening,9,\"Nevaeh, Rylee, Kinsley\"\ne3365,2015/03/27,during lunch hours,26,Hazel\ne3371,2015/03/30,in the late afternoon,7,Piper\ne3376,2015/04/03,in the early afternoon,11,\"Eva, Layla\"\ne3381,2015/04/07,in the morning,32,\"Olivia, Avery\"\ne3383,2015/04/08,late in the evening,28,\"Kinsley, Claire, Nevaeh, Lydia\"\ne3386,2015/04/09,late in the evening,34,\"Lydia, Layla\"\ne3388,2015/04/10,late in the evening,7,\"Piper, Hazel, Eva\"\ne3390,2015/04/11,in the morning,46,\"Hazel, Layla\"\ne3392,2015/04/12,in the early evening,29,\"Nevaeh, Piper\"\ne3401,2015/04/18,late in the evening,46,Layla\ne3405,2015/04/23,in the late afternoon,36,\"Lydia, Kinsley\"\ne3407,2015/04/25,in the morning,54,\"Claire, Lydia, Layla\"\ne3419,2015/05/04,in the early evening,52,\"Nevaeh, Eva, Piper, Olivia\"\ne3422,2015/05/06,in the early evening,29,\"Lydia, Nevaeh, Layla, Piper\"\ne3425,2015/05/07,late in the evening,36,Kinsley\ne3434,2015/05/14,late in the evening,41,\"Olivia, Hazel, Rylee, Piper\"\ne3437,2015/05/17,in the late afternoon,32,\"Layla, Kinsley\"\ne3439,2015/05/18,in the morning,39,Piper\ne3441,2015/05/21,in the early evening,54,\"Claire, Eva, Lydia\"\ne3443,2015/05/23,in the early evening,50,\"Nora, Eva, Nevaeh, Layla\"\ne3448,2015/05/26,in the early evening,27,\"Piper, Olivia\"\ne3461,2015/06/04,in the late afternoon,51,\"Lydia, Rylee, Piper, Hazel\"\ne3470,2015/06/10,in the morning,35,\"Nora, Hazel, Piper\"\ne3493,2015/06/26,in the early evening,42,\"Nora, Olivia, Eva\"\ne3502,2015/07/02,in the late afternoon,12,\"Eva, Layla\"\ne3512,2015/07/08,in the early evening,12,Layla\ne3514,2015/07/09,in the morning,11,\"Nora, Olivia, Hazel\"\ne3517,2015/07/12,in the late afternoon,9,Eva\ne3528,2015/07/19,late in the evening,18,\"Piper, Rylee, Olivia\"\ne3543,2015/07/29,during lunch hours,40,\"Avery, Nora, Eva, Olivia\"\ne3547,2015/07/31,in the morning,32,\"Eva, Olivia\"\ne3549,2015/08/02,in the early afternoon,13,\"Avery, Piper\"\ne3559,2015/08/10,in the morning,25,Rylee\ne3566,2015/08/15,in the late afternoon,30,\"Piper, Lydia\"\ne3568,2015/08/16,during lunch hours,32,\"Eva, Olivia, Claire, Nora\"\ne3577,2015/08/20,late in the evening,39,\"Hazel, Piper, Lydia\"\ne3581,2015/08/21,in the morning,54,\"Piper, Rylee, Olivia, Piper\"\ne3590,2015/08/26,in the morning,45,\"Nevaeh, Olivia, Nora\"\ne3594,2015/08/30,in the morning,54,Lydia\ne3595,2015/08/31,in the early afternoon,32,\"Kinsley, Claire\"\ne3599,2015/09/03,in the early evening,48,Nevaeh\ne3613,2015/09/12,in the morning,33,\"Nevaeh, Piper\"\ne3627,2015/09/23,in the late afternoon,48,\"Piper, Rylee\"\ne3631,2015/09/25,during lunch hours,27,\"Rylee, Avery, Hazel, Nevaeh\"\ne3632,2015/09/26,in the late afternoon,42,Hazel\ne3646,2015/10/06,in the late afternoon,22,Avery\ne3651,2015/10/08,in the early afternoon,41,\"Avery, Claire\"\ne3655,2015/10/14,in the morning,49,\"Layla, Avery, Piper, Claire\"\ne3662,2015/10/16,late in the evening,9,Claire\ne3665,2015/10/17,during lunch hours,36,Kinsley\ne3671,2015/10/23,late in the evening,49,\"Claire, Hazel, Olivia, Nora\"\ne3674,2015/10/24,in the morning,26,Eva\ne3677,2015/10/28,late in the evening,28,Layla\ne3681,2015/10/29,in the morning,38,\"Hazel, Rylee\"\ne3686,2015/11/01,in the morning,18,\"Kinsley, Olivia, Claire\"\ne3691,2015/11/04,during lunch hours,54,\"Claire, Kinsley, Layla, Nevaeh\"\ne3694,2015/11/06,in the early afternoon,9,Nevaeh\ne3697,2015/11/07,in the morning,34,Hazel\ne3699,2015/11/08,late in the evening,32,\"Nevaeh, Piper, Claire, Nora\"\ne3700,2015/11/09,in the late afternoon,30,\"Olivia, Avery, Piper, Rylee\"\ne3701,2015/11/10,in the early afternoon,50,Layla\ne3705,2015/11/11,in the late afternoon,46,\"Layla, Rylee, Eva\"\ne3713,2015/11/17,late in the evening,8,\"Kinsley, Piper, Eva, Hazel\"\ne3718,2015/11/20,in the early evening,5,\"Piper, Olivia\"\ne3720,2015/11/21,in the late afternoon,25,\"Piper, Rylee\"\ne3728,2015/11/26,in the morning,26,\"Lydia, Olivia, Nevaeh\"\ne3731,2015/11/28,late in the evening,54,\"Avery, Olivia\"\ne3736,2015/12/01,in the early afternoon,9,\"Piper, Rylee, Eva, Nevaeh\"\ne3742,2015/12/03,during lunch hours,44,\"Kinsley, Piper\"\ne3748,2015/12/05,during lunch hours,9,\"Avery, Layla, Rylee\"\ne3753,2015/12/07,late in the evening,15,\"Rylee, Nevaeh, Layla, Eva\"\ne3758,2015/12/09,in the late afternoon,13,\"Lydia, Kinsley, Piper, Rylee\"\ne3763,2015/12/11,in the morning,14,\"Olivia, Nora, Layla\"\ne3765,2015/12/12,in the morning,15,\"Nora, Hazel, Kinsley\"\ne3771,2015/12/16,during lunch hours,47,Avery\ne3773,2015/12/18,in the early evening,26,\"Eva, Nevaeh, Piper\"\ne3777,2015/12/20,late in the evening,26,\"Avery, Nevaeh\"\ne3779,2015/12/22,in the morning,38,\"Nora, Lydia, Rylee, Olivia\"\ne3782,2015/12/23,in the early evening,53,\"Piper, Layla\"\ne3786,2015/12/25,late in the evening,52,\"Layla, Eva, Nora, Hazel\"\ne3795,2015/12/28,in the early evening,46,\"Olivia, Piper, Rylee, Eva\"\ne3800,2015/12/30,in the morning,10,\"Hazel, Kinsley\"\ne3909,2016/01/03,in the early evening,15,Claire\ne3916,2016/01/07,in the early evening,36,\"Hazel, Claire, Piper\"\ne3920,2016/01/09,in the early afternoon,18,\"Nevaeh, Avery, Eva, Claire\"\ne3924,2016/01/11,during lunch hours,10,\"Piper, Kinsley\"\ne3935,2016/01/16,during lunch hours,39,Kinsley\ne3943,2016/01/22,in the early afternoon,16,\"Layla, Piper, Nora, Piper\"\ne3947,2016/01/25,in the early evening,24,Kinsley\ne3952,2016/01/29,in the early afternoon,47,\"Kinsley, Layla, Lydia, Avery\"\ne3966,2016/02/03,in the late afternoon,50,\"Olivia, Layla, Piper\"\ne3972,2016/02/06,in the late afternoon,25,Nora\ne3975,2016/02/09,late in the evening,27,\"Eva, Olivia, Hazel, Piper\"\ne3976,2016/02/10,late in the evening,18,Rylee\ne3989,2016/02/21,late in the evening,52,\"Olivia, Nora\"\ne3990,2016/02/22,during lunch hours,35,\"Piper, Claire, Rylee\"\ne3993,2016/02/23,in the morning,22,\"Lydia, Avery, Eva, Kinsley\"\ne3994,2016/02/24,late in the evening,17,\"Hazel, Claire, Olivia\"\ne3997,2016/02/26,during lunch hours,41,\"Layla, Piper\"\ne4015,2016/03/07,late in the evening,17,Piper\ne4024,2016/03/15,in the late afternoon,17,\"Nora, Piper, Eva\"\ne4029,2016/03/17,in the late afternoon,41,\"Eva, Layla\"\ne4030,2016/03/18,during lunch hours,30,Piper\ne4032,2016/03/19,in the early evening,40,\"Olivia, Nevaeh, Lydia\"\ne4040,2016/03/23,in the early evening,24,\"Nora, Layla, Olivia, Nevaeh\"\ne4045,2016/03/26,in the late afternoon,33,Eva\ne4046,2016/03/27,in the early evening,21,\"Nevaeh, Piper, Avery\"\ne4048,2016/03/28,in the early afternoon,38,Hazel\ne4050,2016/03/29,during lunch hours,41,\"Eva, Layla, Lydia\"\ne4066,2016/04/07,in the early afternoon,43,\"Eva, Kinsley\"\ne4067,2016/04/08,in the morning,54,\"Eva, Layla, Piper, Kinsley\"\ne4074,2016/04/12,in the early afternoon,20,Hazel\ne4084,2016/04/20,in the late afternoon,46,Piper\ne4086,2016/04/21,in the late afternoon,14,\"Kinsley, Hazel, Olivia\"\ne4089,2016/04/24,in the early afternoon,21,\"Olivia, Rylee, Eva\"\ne4091,2016/04/25,in the early evening,51,\"Olivia, Layla, Lydia, Piper\"\ne4093,2016/04/27,in the late afternoon,52,\"Piper, Olivia, Piper\"\ne4098,2016/04/29,in the early evening,20,Rylee\ne4100,2016/04/30,during lunch hours,25,\"Avery, Lydia, Piper, Kinsley\"\ne4106,2016/05/07,late in the evening,13,Piper\ne4108,2016/05/08,late in the evening,5,Kinsley\ne4111,2016/05/10,in the late afternoon,18,\"Nora, Olivia\"\ne4113,2016/05/12,during lunch hours,35,Nevaeh\ne4117,2016/05/14,in the early afternoon,31,Rylee\ne4121,2016/05/18,in the late afternoon,11,Piper\ne4126,2016/05/20,in the morning,11,\"Hazel, Piper, Nevaeh, Layla\"\ne4130,2016/05/22,late in the evening,21,Kinsley\ne4132,2016/05/25,late in the evening,28,\"Claire, Kinsley, Rylee, Eva\"\ne4138,2016/05/30,in the morning,38,Claire\ne4143,2016/06/03,in the morning,55,\"Nora, Kinsley, Hazel, Rylee\"\ne4144,2016/06/04,late in the evening,5,\"Piper, Eva\"\ne4150,2016/06/06,in the early evening,13,\"Kinsley, Claire, Piper, Nevaeh\"\ne4154,2016/06/10,in the early evening,23,\"Layla, Piper, Lydia, Nevaeh\"\ne4155,2016/06/11,in the morning,35,Nevaeh\ne4158,2016/06/13,in the early afternoon,14,\"Layla, Avery\"\ne4162,2016/06/16,in the morning,33,Claire\ne4178,2016/07/02,in the morning,46,Nevaeh\ne4186,2016/07/08,in the morning,48,\"Hazel, Piper, Kinsley, Eva\"\ne4193,2016/07/14,late in the evening,55,Eva\ne4195,2016/07/16,in the early afternoon,34,\"Lydia, Nora, Rylee\"\ne4197,2016/07/18,during lunch hours,18,\"Piper, Rylee\"\ne4206,2016/07/24,in the early afternoon,45,Nora\ne4208,2016/07/25,late in the evening,45,Avery\ne4214,2016/07/27,late in the evening,20,\"Eva, Layla, Lydia, Olivia\"\ne4229,2016/08/02,in the late afternoon,47,\"Piper, Nevaeh, Olivia, Piper\"\ne4237,2016/08/07,during lunch hours,52,\"Lydia, Nora, Avery, Kinsley\"\ne4238,2016/08/08,late in the evening,41,\"Eva, Hazel, Rylee\"\ne4240,2016/08/10,late in the evening,38,\"Piper, Olivia\"\ne4248,2016/08/15,in the morning,24,\"Lydia, Hazel, Kinsley, Piper\"\ne4250,2016/08/16,during lunch hours,45,\"Piper, Piper, Avery, Nevaeh\"\ne4254,2016/08/20,in the early evening,25,\"Kinsley, Rylee\"\ne4256,2016/08/21,late in the evening,22,Nevaeh\ne4258,2016/08/25,in the early afternoon,28,\"Rylee, Piper, Piper, Layla\"\ne4262,2016/08/26,late in the evening,30,\"Olivia, Layla, Piper\"\ne4264,2016/08/28,in the morning,45,\"Kinsley, Avery, Nevaeh, Hazel\"\ne4269,2016/09/02,in the early evening,42,\"Rylee, Claire, Lydia, Nevaeh\"\ne4278,2016/09/09,in the early evening,51,Piper\ne4284,2016/09/14,in the late afternoon,35,\"Piper, Claire\"\ne4288,2016/09/16,late in the evening,36,\"Lydia, Nevaeh, Nora, Rylee\"\ne4296,2016/09/20,late in the evening,55,\"Nevaeh, Hazel, Eva, Kinsley\"\ne4297,2016/09/21,in the early afternoon,26,\"Piper, Lydia, Layla\"\ne4307,2016/09/25,in the early afternoon,51,\"Piper, Claire, Nevaeh\"\ne4314,2016/09/29,in the early evening,7,Avery\ne4318,2016/10/01,in the early evening,50,\"Piper, Nora, Claire\"\ne4320,2016/10/02,in the morning,53,\"Hazel, Olivia\"\ne4326,2016/10/06,in the morning,51,Avery\ne4331,2016/10/09,in the early afternoon,5,\"Piper, Avery, Piper, Nevaeh\"\ne4332,2016/10/10,in the early evening,55,\"Nora, Eva, Piper, Piper\"\ne4335,2016/10/11,late in the evening,22,\"Nora, Piper, Eva\"\ne4340,2016/10/15,in the early afternoon,47,Layla\ne4342,2016/10/17,in the morning,43,\"Kinsley, Hazel, Eva, Olivia\"\ne4348,2016/10/23,in the morning,17,\"Kinsley, Lydia, Nora, Piper\"\ne4350,2016/10/24,in the early afternoon,47,\"Olivia, Kinsley, Nevaeh\"\ne4355,2016/10/26,in the morning,31,\"Piper, Claire, Nora, Olivia\"\ne4356,2016/10/28,in the morning,45,\"Layla, Claire, Rylee\"\ne4374,2016/11/11,late in the evening,11,\"Layla, Kinsley\"\ne4380,2016/11/15,in the early afternoon,33,\"Piper, Layla, Hazel\"\ne4383,2016/11/19,during lunch hours,54,Nora\ne4384,2016/11/20,during lunch hours,34,\"Eva, Rylee, Nevaeh, Layla\"\ne4386,2016/11/21,in the early evening,49,\"Claire, Piper, Lydia\"\ne4388,2016/11/22,in the early evening,53,Nevaeh\ne4391,2016/11/23,in the late afternoon,21,\"Piper, Kinsley, Eva, Lydia\"\ne4392,2016/11/24,during lunch hours,24,Nevaeh\ne4395,2016/11/25,late in the evening,9,\"Rylee, Olivia, Lydia, Avery\"\ne4398,2016/11/26,during lunch hours,48,\"Nora, Eva, Piper, Layla\"\ne4401,2016/11/27,in the late afternoon,15,\"Nora, Kinsley, Hazel, Layla\"\ne4402,2016/11/28,in the early evening,51,\"Piper, Lydia, Claire\"\ne4414,2016/12/09,in the late afternoon,23,\"Piper, Rylee, Layla, Hazel\"\ne4415,2016/12/10,during lunch hours,38,\"Piper, Claire\"\ne4424,2016/12/13,late in the evening,43,Kinsley\ne4426,2016/12/14,in the morning,24,\"Claire, Layla\"\ne4436,2016/12/21,in the morning,30,\"Nora, Olivia, Claire\"\ne4441,2016/12/27,in the morning,21,\"Piper, Lydia, Avery, Nevaeh\"\ne4447,2016/12/30,in the early evening,37,\"Lydia, Piper, Kinsley\"\ne4538,2017/01/02,during lunch hours,8,Layla\ne4543,2017/01/05,in the early evening,37,Olivia\ne4547,2017/01/08,in the early afternoon,14,Eva\ne4551,2017/01/10,in the morning,12,\"Piper, Rylee, Kinsley, Layla\"\ne4559,2017/01/13,in the early evening,43,Piper\ne4572,2017/01/23,in the late afternoon,48,\"Kinsley, Avery\"\ne4579,2017/01/26,during lunch hours,30,\"Rylee, Eva\"\ne4584,2017/01/31,late in the evening,48,\"Avery, Hazel, Rylee\"\ne4595,2017/02/07,in the late afternoon,44,\"Claire, Lydia\"\ne4598,2017/02/08,in the late afternoon,32,\"Claire, Nora, Eva\"\ne4603,2017/02/11,in the late afternoon,53,Nevaeh\ne4605,2017/02/12,during lunch hours,36,\"Nora, Avery\"\ne4607,2017/02/13,late in the evening,6,\"Kinsley, Nevaeh, Piper\"\ne4609,2017/02/15,in the morning,48,Rylee\ne4614,2017/02/18,in the early evening,37,\"Nevaeh, Lydia, Claire, Piper\"\ne4621,2017/02/25,late in the evening,44,Nora\ne4633,2017/03/03,in the morning,54,Layla\ne4635,2017/03/04,late in the evening,35,\"Nora, Piper\"\ne4636,2017/03/05,in the early afternoon,31,Rylee\ne4647,2017/03/14,in the early afternoon,5,\"Olivia, Piper, Rylee, Piper\"\ne4649,2017/03/16,late in the evening,8,\"Nevaeh, Hazel, Rylee, Nora\"\ne4650,2017/03/18,in the late afternoon,5,Avery\ne4653,2017/03/20,during lunch hours,55,\"Lydia, Hazel\"\ne4656,2017/03/23,in the late afternoon,35,\"Nora, Avery, Nevaeh, Kinsley\"\ne4666,2017/03/29,in the morning,37,Piper\ne4669,2017/03/30,in the morning,21,\"Avery, Layla, Hazel\"\ne4672,2017/04/01,late in the evening,17,Nevaeh\ne4675,2017/04/03,in the early evening,19,Nora\ne4677,2017/04/04,during lunch hours,47,\"Rylee, Eva\"\ne4682,2017/04/08,in the early afternoon,48,\"Nora, Kinsley, Layla, Piper\"\ne4684,2017/04/09,in the morning,20,\"Kinsley, Rylee, Olivia\"\ne4685,2017/04/11,during lunch hours,29,Eva\ne4688,2017/04/14,in the early afternoon,14,\"Hazel, Rylee, Piper, Piper\"\ne4692,2017/04/18,in the morning,12,Piper\ne4696,2017/04/21,in the late afternoon,50,\"Lydia, Rylee, Layla, Nevaeh\"\ne4698,2017/04/22,in the early evening,34,\"Claire, Nora\"\ne4700,2017/04/23,in the morning,22,\"Piper, Nevaeh, Kinsley\"\ne4704,2017/04/25,in the morning,42,Eva\ne4706,2017/04/26,in the early evening,44,\"Piper, Kinsley, Nora, Hazel\"\ne4709,2017/04/27,in the morning,29,\"Nevaeh, Piper, Hazel\"\ne4716,2017/05/01,in the early evening,36,Avery\ne4719,2017/05/02,in the morning,14,\"Lydia, Piper, Nevaeh, Olivia\"\ne4722,2017/05/03,in the morning,9,Lydia\ne4725,2017/05/05,during lunch hours,20,\"Claire, Piper, Nora\"\ne4730,2017/05/08,in the early afternoon,17,\"Nora, Rylee, Piper\"\ne4733,2017/05/11,in the early afternoon,45,\"Claire, Rylee, Hazel, Layla\"\ne4739,2017/05/18,late in the evening,29,\"Kinsley, Rylee\"\ne4746,2017/05/22,in the early afternoon,7,\"Piper, Rylee, Hazel\"\ne4748,2017/05/23,in the early evening,40,\"Olivia, Layla, Eva\"\ne4750,2017/05/25,in the early afternoon,24,\"Layla, Avery\"\ne4757,2017/05/31,in the early evening,7,Piper\ne4761,2017/06/01,in the late afternoon,43,\"Nora, Hazel, Kinsley, Olivia\"\ne4765,2017/06/03,in the late afternoon,8,\"Eva, Layla\"\ne4768,2017/06/05,during lunch hours,40,\"Eva, Kinsley\"\ne4769,2017/06/06,during lunch hours,11,\"Eva, Rylee\"\ne4771,2017/06/07,in the early evening,38,Lydia\ne4776,2017/06/11,in the early afternoon,16,\"Piper, Hazel\"\ne4780,2017/06/14,in the late afternoon,53,\"Kinsley, Layla, Piper\"\ne4782,2017/06/15,during lunch hours,19,\"Claire, Avery, Nora\"\ne4785,2017/06/16,during lunch hours,52,\"Avery, Nevaeh, Piper, Olivia\"\ne4786,2017/06/17,late in the evening,16,\"Avery, Nora, Hazel\"\ne4788,2017/06/18,in the late afternoon,53,\"Avery, Eva, Nevaeh, Claire\"\ne4790,2017/06/20,in the early afternoon,39,\"Avery, Eva, Rylee\"\ne4792,2017/06/21,during lunch hours,30,\"Rylee, Piper, Piper\"\ne4800,2017/06/27,in the late afternoon,51,\"Avery, Layla\"\ne4803,2017/06/29,in the early afternoon,33,Claire\ne4807,2017/07/05,late in the evening,49,Avery\ne4816,2017/07/08,in the early afternoon,42,\"Eva, Nora\"\ne4824,2017/07/16,during lunch hours,48,Eva\ne4827,2017/07/17,in the early evening,14,\"Olivia, Hazel\"\ne4830,2017/07/20,in the morning,39,Avery\ne4833,2017/07/24,in the morning,32,\"Hazel, Rylee, Avery\"\ne4836,2017/07/27,during lunch hours,10,\"Rylee, Layla\"\ne4850,2017/08/05,during lunch hours,32,Hazel\ne4852,2017/08/07,in the morning,39,\"Avery, Kinsley, Nevaeh\"\ne4854,2017/08/09,in the early afternoon,33,Claire\ne4871,2017/08/20,in the late afternoon,18,\"Piper, Layla, Hazel, Claire\"\ne4876,2017/08/23,during lunch hours,39,\"Claire, Olivia, Nora\"\ne4881,2017/08/25,in the early afternoon,36,\"Rylee, Nora, Piper, Eva\"\ne4888,2017/08/29,in the late afternoon,54,Piper\ne4889,2017/08/30,during lunch hours,21,\"Piper, Nora, Layla\"\ne4893,2017/09/02,late in the evening,29,Layla\ne4897,2017/09/04,late in the evening,46,Layla\ne4900,2017/09/06,in the early afternoon,34,\"Avery, Piper\"\ne4901,2017/09/07,in the morning,16,\"Kinsley, Eva\"\ne4902,2017/09/08,in the late afternoon,14,\"Nora, Nevaeh, Kinsley\"\ne4906,2017/09/10,in the late afternoon,23,Lydia\ne4914,2017/09/15,late in the evening,29,Piper\ne4917,2017/09/17,late in the evening,49,\"Hazel, Nora, Lydia\"\ne4923,2017/09/21,late in the evening,25,\"Layla, Nora, Claire\"\ne4927,2017/09/25,in the early afternoon,7,\"Piper, Piper\"\ne4934,2017/09/29,in the late afternoon,11,\"Avery, Lydia, Claire\"\ne4936,2017/10/02,in the early evening,15,\"Kinsley, Piper\"\ne4940,2017/10/06,in the early evening,33,\"Piper, Avery\"\ne4942,2017/10/07,in the morning,8,\"Kinsley, Eva\"\ne4946,2017/10/12,during lunch hours,12,Rylee\ne4950,2017/10/14,in the morning,45,\"Avery, Kinsley\"\ne4951,2017/10/15,in the early afternoon,52,Rylee\ne4959,2017/10/20,during lunch hours,54,Claire\ne4973,2017/10/29,in the early evening,28,\"Layla, Claire\"\ne4981,2017/11/02,in the early afternoon,13,\"Olivia, Nevaeh, Rylee, Eva\"\ne4983,2017/11/03,in the late afternoon,45,\"Piper, Piper, Nevaeh\"\ne4997,2017/11/09,in the early afternoon,5,\"Nevaeh, Avery\"\ne5000,2017/11/10,during lunch hours,50,\"Lydia, Eva, Piper, Nora\"\ne5005,2017/11/13,in the early afternoon,13,Lydia\ne5009,2017/11/14,during lunch hours,31,\"Olivia, Kinsley, Hazel\"\ne5011,2017/11/15,in the early afternoon,26,\"Layla, Hazel, Lydia, Piper\"\ne5019,2017/11/19,in the late afternoon,13,\"Nevaeh, Eva\"\ne5021,2017/11/20,in the morning,50,\"Lydia, Nora\"\ne5025,2017/11/21,late in the evening,13,\"Hazel, Lydia, Nora, Claire\"\ne5029,2017/11/23,during lunch hours,24,Olivia\ne5032,2017/11/24,during lunch hours,8,\"Rylee, Layla, Avery\"\ne5034,2017/11/25,in the early afternoon,36,Nora\ne5037,2017/11/28,in the early evening,10,Nevaeh\ne5042,2017/12/03,in the early evening,34,\"Lydia, Kinsley, Rylee, Hazel\"\ne5056,2017/12/11,in the early afternoon,53,\"Kinsley, Piper, Eva\"\ne5075,2017/12/22,late in the evening,11,\"Piper, Eva, Avery, Nora\"\ne5081,2017/12/25,in the early evening,55,\"Hazel, Olivia, Nora, Avery\"\ne5082,2017/12/26,during lunch hours,14,\"Eva, Avery, Nevaeh, Lydia\"\ne5085,2017/12/27,in the early afternoon,48,\"Kinsley, Piper\"\ne5090,2017/12/29,in the morning,15,Olivia\ne5093,2017/12/31,in the early afternoon,33,\"Avery, Olivia, Nevaeh\"\ne5198,2018/01/02,in the early evening,53,\"Nevaeh, Layla\"\ne5204,2018/01/06,in the morning,15,\"Avery, Piper, Nevaeh, Rylee\"\ne5215,2018/01/14,in the late afternoon,51,Olivia\ne5226,2018/01/20,late in the evening,7,\"Claire, Lydia, Nora, Nevaeh\"\ne5230,2018/01/22,in the early afternoon,44,\"Olivia, Claire, Hazel\"\ne5234,2018/01/25,in the early afternoon,19,\"Olivia, Claire, Hazel\"\ne5236,2018/01/26,in the early afternoon,19,Piper\ne5243,2018/02/01,in the early afternoon,51,\"Avery, Olivia, Rylee\"\ne5252,2018/02/06,in the morning,32,Piper\ne5258,2018/02/11,in the early afternoon,35,\"Claire, Layla\"\ne5262,2018/02/14,in the early evening,10,Hazel\ne5264,2018/02/17,late in the evening,39,\"Lydia, Piper, Nora, Claire\"\ne5267,2018/02/18,in the late afternoon,33,\"Nora, Eva, Rylee\"\ne5269,2018/02/20,in the late afternoon,48,\"Olivia, Avery, Piper, Nora\"\ne5271,2018/02/21,in the morning,44,\"Avery, Nora, Nevaeh\"\ne5280,2018/02/27,in the early afternoon,36,\"Piper, Olivia\"\ne5283,2018/03/01,in the late afternoon,26,\"Claire, Lydia\"\ne5285,2018/03/03,in the late afternoon,11,\"Nora, Avery, Layla, Lydia\"\ne5289,2018/03/07,in the late afternoon,13,\"Claire, Olivia, Nora, Piper\"\ne5301,2018/03/15,in the late afternoon,44,\"Piper, Avery, Olivia, Rylee\"\ne5302,2018/03/16,in the early afternoon,43,\"Eva, Nevaeh, Hazel\"\ne5310,2018/03/20,in the late afternoon,19,\"Lydia, Avery\"\ne5313,2018/03/22,in the early afternoon,42,Avery\ne5315,2018/03/23,in the early evening,46,\"Lydia, Hazel\"\ne5316,2018/03/24,in the late afternoon,9,Avery\ne5318,2018/03/25,during lunch hours,26,\"Olivia, Nora, Nevaeh, Piper\"\ne5320,2018/03/27,in the late afternoon,44,\"Nora, Piper\"\ne5321,2018/03/28,in the early evening,31,\"Rylee, Lydia, Piper, Piper\"\ne5326,2018/04/01,in the early evening,38,\"Layla, Rylee, Kinsley\"\ne5329,2018/04/03,in the early afternoon,7,\"Claire, Piper, Kinsley, Avery\"\ne5330,2018/04/06,during lunch hours,36,\"Eva, Piper\"\ne5342,2018/04/13,in the early evening,50,\"Claire, Kinsley, Layla, Lydia\"\ne5345,2018/04/14,in the early evening,41,\"Piper, Nevaeh, Claire\"\ne5351,2018/04/17,in the late afternoon,11,\"Nora, Olivia\"\ne5363,2018/04/26,in the morning,21,Avery\ne5368,2018/04/29,in the early evening,47,\"Hazel, Lydia\"\ne5370,2018/04/30,in the morning,44,\"Hazel, Olivia, Claire, Piper\"\ne5373,2018/05/01,late in the evening,39,\"Lydia, Piper, Kinsley, Avery\"\ne5374,2018/05/02,during lunch hours,22,\"Hazel, Claire, Eva\"\ne5376,2018/05/03,in the early afternoon,40,Claire\ne5389,2018/05/12,in the early afternoon,7,\"Piper, Avery\"\ne5393,2018/05/14,during lunch hours,38,\"Eva, Rylee, Nora\"\ne5396,2018/05/15,in the late afternoon,21,\"Olivia, Lydia, Avery\"\ne5398,2018/05/17,in the early evening,9,\"Eva, Nevaeh, Rylee, Layla\"\ne5401,2018/05/21,in the morning,27,\"Nora, Rylee, Piper\"\ne5403,2018/05/22,during lunch hours,31,\"Claire, Piper, Nevaeh, Layla\"\ne5405,2018/05/23,in the early evening,9,\"Lydia, Claire, Piper\"\ne5411,2018/05/26,during lunch hours,22,\"Avery, Layla, Lydia\"\ne5413,2018/05/27,late in the evening,16,\"Piper, Eva, Layla\"\ne5414,2018/05/28,during lunch hours,20,\"Lydia, Eva, Layla, Nora\"\ne5422,2018/06/01,in the late afternoon,24,\"Avery, Rylee\"\ne5424,2018/06/02,during lunch hours,33,Lydia\ne5427,2018/06/03,in the early afternoon,27,\"Piper, Hazel, Eva\"\ne5433,2018/06/07,during lunch hours,7,\"Piper, Layla, Piper, Hazel\"\ne5447,2018/06/20,in the late afternoon,55,\"Piper, Avery, Eva\"\ne5452,2018/06/26,in the early afternoon,28,\"Kinsley, Layla, Eva, Claire\"\ne5455,2018/06/28,late in the evening,36,\"Piper, Kinsley\"\ne5458,2018/07/02,in the early evening,49,Nevaeh\ne5472,2018/07/09,in the late afternoon,51,\"Piper, Rylee\"\ne5474,2018/07/11,during lunch hours,55,\"Rylee, Piper, Kinsley, Piper\"\ne5488,2018/07/22,late in the evening,17,\"Avery, Layla, Nevaeh, Claire\"\ne5494,2018/07/26,in the early evening,20,\"Avery, Lydia\"\ne5495,2018/07/27,in the morning,6,\"Eva, Piper, Hazel\"\ne5504,2018/08/01,late in the evening,12,\"Claire, Avery\"\ne5506,2018/08/04,in the late afternoon,29,Nora\ne5508,2018/08/05,during lunch hours,51,\"Hazel, Piper, Layla\"\ne5513,2018/08/09,during lunch hours,8,\"Piper, Nora\"\ne5521,2018/08/16,in the morning,39,\"Rylee, Lydia, Olivia, Kinsley\"\ne5524,2018/08/17,in the morning,33,\"Rylee, Avery\"\ne5528,2018/08/22,in the morning,45,\"Nevaeh, Lydia, Avery, Rylee\"\ne5533,2018/08/28,in the morning,20,\"Claire, Nora, Piper, Kinsley\"\ne5538,2018/08/30,in the early afternoon,32,\"Claire, Rylee, Kinsley\"\ne5543,2018/09/03,during lunch hours,43,\"Claire, Piper, Piper\"\ne5546,2018/09/04,late in the evening,55,Lydia\ne5547,2018/09/05,in the early afternoon,51,\"Claire, Hazel\"\ne5549,2018/09/08,late in the evening,25,\"Rylee, Piper\"\ne5552,2018/09/11,during lunch hours,35,\"Layla, Piper, Hazel\"\ne5555,2018/09/13,late in the evening,42,\"Avery, Kinsley\"\ne5563,2018/09/16,in the early evening,51,\"Layla, Piper, Eva, Olivia\"\ne5568,2018/09/22,late in the evening,47,\"Lydia, Eva, Hazel, Nevaeh\"\ne5570,2018/09/23,in the early afternoon,53,\"Nora, Nevaeh, Avery, Claire\"\ne5575,2018/09/26,in the early evening,29,\"Layla, Piper\"\ne5579,2018/09/27,late in the evening,45,\"Rylee, Piper, Piper, Nevaeh\"\ne5582,2018/09/29,in the morning,26,Avery\ne5594,2018/10/07,in the morning,8,\"Hazel, Nevaeh\"\ne5598,2018/10/11,in the early afternoon,25,\"Lydia, Piper, Hazel\"\ne5600,2018/10/12,in the late afternoon,38,\"Nora, Rylee, Claire\"\ne5601,2018/10/13,in the early afternoon,51,\"Rylee, Piper, Layla, Olivia\"\ne5608,2018/10/19,late in the evening,46,\"Olivia, Layla, Eva\"\ne5610,2018/10/20,in the late afternoon,54,\"Piper, Kinsley\"\ne5614,2018/10/23,in the early evening,31,\"Rylee, Eva, Hazel, Kinsley\"\ne5619,2018/10/25,in the late afternoon,18,Claire\ne5633,2018/11/06,during lunch hours,8,\"Piper, Eva, Hazel, Piper\"\ne5635,2018/11/07,in the late afternoon,32,\"Piper, Kinsley, Nora\"\ne5638,2018/11/10,during lunch hours,41,\"Kinsley, Hazel, Rylee, Piper\"\ne5641,2018/11/11,during lunch hours,13,\"Hazel, Lydia, Claire, Piper\"\ne5648,2018/11/15,in the early evening,19,\"Piper, Nora, Olivia, Eva\"\ne5658,2018/11/20,in the late afternoon,45,Rylee\ne5660,2018/11/22,late in the evening,41,\"Layla, Nora, Lydia\"\ne5663,2018/11/23,during lunch hours,12,Nevaeh\ne5670,2018/11/28,in the early afternoon,31,\"Eva, Avery, Piper\"\ne5672,2018/12/01,late in the evening,29,\"Layla, Avery, Claire\"\ne5677,2018/12/03,in the morning,42,\"Kinsley, Piper\"\ne5688,2018/12/08,in the early afternoon,30,\"Olivia, Kinsley\"\ne5696,2018/12/14,late in the evening,25,\"Olivia, Rylee, Kinsley, Nora\"\ne5702,2018/12/16,in the early afternoon,45,\"Lydia, Piper, Hazel, Claire\"\ne5716,2018/12/26,late in the evening,23,Rylee\ne5718,2018/12/27,late in the evening,14,\"Lydia, Olivia, Hazel, Avery\"\ne5721,2018/12/28,in the late afternoon,46,\"Nevaeh, Avery\"\ne5823,2019/01/04,in the morning,46,\"Avery, Hazel, Rylee\"\ne5825,2019/01/05,during lunch hours,10,\"Eva, Rylee, Avery\"\ne5833,2019/01/10,late in the evening,8,Layla\ne5834,2019/01/12,in the early evening,35,\"Piper, Lydia, Rylee\"\ne5838,2019/01/13,in the late afternoon,8,Claire\ne5842,2019/01/14,in the early evening,51,Avery\ne5844,2019/01/15,during lunch hours,34,\"Piper, Eva\"\ne5850,2019/01/19,in the early afternoon,36,Olivia\ne5853,2019/01/20,during lunch hours,46,\"Hazel, Eva\"\ne5856,2019/01/21,in the early afternoon,49,Avery\ne5860,2019/01/23,in the early afternoon,44,Avery\ne5861,2019/01/24,in the morning,50,\"Layla, Avery, Nora\"\ne5867,2019/01/27,in the early evening,33,\"Eva, Hazel\"\ne5871,2019/01/30,late in the evening,43,\"Layla, Piper, Rylee, Eva\"\ne5876,2019/02/02,in the early afternoon,48,Claire\ne5880,2019/02/04,in the late afternoon,36,\"Nora, Piper, Eva\"\ne5882,2019/02/05,in the late afternoon,50,\"Piper, Piper, Olivia, Nevaeh\"\ne5892,2019/02/12,during lunch hours,30,Piper\ne5896,2019/02/13,in the late afternoon,13,\"Eva, Olivia, Avery\"\ne5900,2019/02/14,in the early evening,48,\"Piper, Claire, Olivia, Hazel\"\ne5907,2019/02/18,in the early afternoon,30,\"Kinsley, Layla, Nevaeh, Rylee\"\ne5911,2019/02/22,late in the evening,41,\"Hazel, Claire, Piper, Layla\"\ne5913,2019/02/23,during lunch hours,38,Rylee\ne5918,2019/02/26,during lunch hours,9,\"Piper, Nevaeh\"\ne5926,2019/03/02,in the late afternoon,6,\"Avery, Claire, Piper\"\ne5927,2019/03/03,late in the evening,42,\"Layla, Nora, Piper, Kinsley\"\ne5939,2019/03/10,in the late afternoon,34,\"Hazel, Eva, Nora, Claire\"\ne5944,2019/03/16,during lunch hours,33,\"Nora, Piper, Rylee, Lydia\"\ne5946,2019/03/17,in the morning,28,\"Claire, Olivia, Piper, Kinsley\"\ne5953,2019/03/23,late in the evening,39,\"Eva, Kinsley\"\ne5956,2019/03/24,in the early evening,54,\"Olivia, Piper, Lydia\"\ne5963,2019/03/29,late in the evening,39,\"Hazel, Rylee, Olivia, Eva\"\ne5964,2019/03/30,during lunch hours,23,\"Kinsley, Layla, Piper\"\ne5968,2019/04/02,in the late afternoon,20,\"Olivia, Eva, Nevaeh\"\ne5975,2019/04/05,in the early afternoon,35,Eva\ne5978,2019/04/06,during lunch hours,9,\"Avery, Rylee, Layla, Hazel\"\ne5992,2019/04/19,in the early afternoon,35,Kinsley\ne5994,2019/04/20,in the late afternoon,39,Piper\ne5996,2019/04/21,late in the evening,21,\"Rylee, Kinsley, Lydia\"\ne6001,2019/04/23,in the early afternoon,41,Piper\ne6003,2019/04/24,in the early afternoon,7,\"Nora, Lydia, Rylee\"\ne6004,2019/04/25,in the early evening,10,\"Claire, Olivia, Avery\"\ne6009,2019/04/26,in the early evening,49,\"Lydia, Avery, Layla\"\ne6011,2019/04/27,late in the evening,53,\"Kinsley, Olivia\"\ne6014,2019/04/28,in the early afternoon,20,\"Piper, Claire, Avery\"\ne6020,2019/05/02,in the morning,55,\"Rylee, Hazel, Avery\"\ne6024,2019/05/05,in the late afternoon,52,\"Olivia, Layla, Claire, Kinsley\"\ne6036,2019/05/12,in the late afternoon,12,\"Lydia, Piper, Olivia\"\ne6045,2019/05/18,during lunch hours,45,Kinsley\ne6054,2019/05/26,in the morning,26,\"Hazel, Olivia, Piper, Lydia\"\ne6061,2019/05/29,in the morning,12,\"Eva, Kinsley\"\ne6062,2019/05/30,during lunch hours,6,\"Olivia, Hazel\"\ne6070,2019/06/04,in the morning,40,\"Olivia, Nora, Rylee, Claire\"\ne6079,2019/06/11,late in the evening,43,\"Claire, Avery, Hazel\"\ne6083,2019/06/13,in the late afternoon,6,\"Piper, Lydia, Hazel\"\ne6087,2019/06/14,in the early evening,52,\"Hazel, Lydia, Kinsley, Eva\"\ne6094,2019/06/17,in the early evening,46,\"Olivia, Kinsley\"\ne6095,2019/06/19,late in the evening,31,Rylee\ne6099,2019/06/21,in the morning,24,\"Lydia, Eva\"\ne6102,2019/06/25,in the morning,22,\"Hazel, Layla\"\ne6104,2019/06/26,in the early evening,33,\"Claire, Hazel, Olivia\"\ne6107,2019/06/29,in the early evening,54,Claire\ne6116,2019/07/07,in the early evening,33,\"Olivia, Piper, Hazel, Kinsley\"\ne6120,2019/07/10,in the morning,46,\"Kinsley, Avery, Olivia\"\ne6121,2019/07/11,during lunch hours,47,\"Eva, Rylee\"\ne6126,2019/07/14,in the early evening,38,\"Hazel, Piper\"\ne6136,2019/07/18,during lunch hours,37,Kinsley\ne6139,2019/07/19,during lunch hours,11,\"Piper, Rylee, Eva, Claire\"\ne6141,2019/07/20,late in the evening,18,\"Eva, Piper\"\ne6142,2019/07/21,late in the evening,55,\"Olivia, Avery, Piper\"\ne6147,2019/07/23,in the late afternoon,17,\"Kinsley, Claire, Piper\"\ne6150,2019/07/25,late in the evening,48,\"Lydia, Nora, Nevaeh\"\ne6153,2019/07/26,in the early evening,44,\"Lydia, Rylee, Piper\"\ne6154,2019/07/27,in the late afternoon,49,\"Hazel, Claire\"\ne6157,2019/07/30,in the early afternoon,10,\"Rylee, Piper, Olivia, Piper\"\ne6160,2019/07/31,in the morning,45,Nevaeh\ne6163,2019/08/01,late in the evening,34,Lydia\ne6165,2019/08/02,in the late afternoon,12,\"Olivia, Claire, Layla\"\ne6171,2019/08/05,in the morning,18,\"Avery, Piper, Piper, Lydia\"\ne6184,2019/08/17,during lunch hours,43,Olivia\ne6188,2019/08/19,in the early afternoon,8,\"Piper, Olivia\"\ne6194,2019/08/24,in the early evening,7,Hazel\ne6197,2019/08/25,in the late afternoon,26,Layla\ne6204,2019/09/01,in the late afternoon,37,\"Avery, Layla, Nora\"\ne6209,2019/09/04,during lunch hours,44,Kinsley\ne6219,2019/09/09,in the early afternoon,46,\"Lydia, Hazel, Nevaeh, Nora\"\ne6222,2019/09/10,in the early evening,52,Layla\ne6227,2019/09/13,in the early afternoon,11,\"Olivia, Layla, Rylee, Kinsley\"\ne6228,2019/09/14,in the early afternoon,33,Olivia\ne6235,2019/09/17,late in the evening,31,Piper\ne6237,2019/09/18,in the early afternoon,53,\"Claire, Piper, Layla, Nevaeh\"\ne6243,2019/09/24,in the late afternoon,12,Hazel\ne6244,2019/09/25,during lunch hours,37,\"Rylee, Kinsley, Avery, Lydia\"\ne6256,2019/10/03,in the early afternoon,10,Piper\ne6260,2019/10/07,in the morning,17,Lydia\ne6265,2019/10/10,late in the evening,54,\"Layla, Rylee\"\ne6267,2019/10/11,in the late afternoon,32,\"Nora, Piper\"\ne6272,2019/10/13,late in the evening,7,\"Claire, Avery, Eva\"\ne6275,2019/10/14,in the morning,14,Avery\ne6284,2019/10/18,late in the evening,7,\"Eva, Nora\"\ne6290,2019/10/20,during lunch hours,51,\"Rylee, Kinsley, Claire, Piper\"\ne6292,2019/10/21,during lunch hours,33,\"Layla, Olivia, Hazel\"\ne6295,2019/10/25,in the late afternoon,38,Claire\ne6296,2019/10/26,in the early afternoon,26,\"Olivia, Hazel, Lydia\"\ne6299,2019/10/28,in the early evening,32,\"Kinsley, Nora, Layla\"\ne6308,2019/11/03,during lunch hours,39,\"Olivia, Nevaeh\"\ne6319,2019/11/09,during lunch hours,31,\"Layla, Kinsley, Claire\"\ne6321,2019/11/10,in the early afternoon,42,\"Piper, Layla, Olivia\"\ne6324,2019/11/12,in the morning,13,\"Hazel, Layla, Eva\"\ne6328,2019/11/14,in the late afternoon,42,\"Layla, Nora\"\ne6339,2019/11/21,in the early evening,23,\"Avery, Layla, Eva, Kinsley\"\ne6345,2019/11/23,in the early afternoon,47,\"Nora, Claire\"\ne6349,2019/11/24,late in the evening,55,Claire\ne6351,2019/11/25,late in the evening,31,\"Eva, Lydia, Piper\"\ne6358,2019/11/29,in the morning,42,\"Eva, Layla\"\ne6359,2019/11/30,in the late afternoon,52,\"Rylee, Avery, Layla\"\ne6373,2019/12/10,late in the evening,24,\"Piper, Rylee, Claire, Hazel\"\ne6378,2019/12/13,late in the evening,32,\"Layla, Hazel, Olivia\"\ne6382,2019/12/14,late in the evening,17,\"Hazel, Piper\"\ne6383,2019/12/16,late in the evening,35,Nevaeh\ne6392,2019/12/20,in the morning,38,\"Nevaeh, Piper, Eva\"\ne6404,2019/12/29,in the early evening,10,Claire\ne6405,2019/12/30,in the late afternoon,6,\"Piper, Nora, Lydia, Layla\"\ne6407,2019/12/31,in the early afternoon,8,Rylee\ne6499,2020/01/02,late in the evening,21,\"Nora, Olivia, Claire, Rylee\"\ne6505,2020/01/05,late in the evening,31,\"Avery, Layla, Eva\"\ne6512,2020/01/09,late in the evening,28,\"Nora, Claire, Lydia\"\ne6523,2020/01/21,in the early afternoon,5,\"Kinsley, Piper, Nora, Nevaeh\"\ne6525,2020/01/22,in the morning,25,\"Nevaeh, Piper, Lydia\"\ne6528,2020/01/24,during lunch hours,50,\"Nevaeh, Olivia\"\ne6542,2020/01/31,in the late afternoon,37,Piper\ne6554,2020/02/14,late in the evening,47,\"Rylee, Nora\"\ne6557,2020/02/15,in the late afternoon,9,Claire\ne6564,2020/02/18,in the early afternoon,53,Kinsley\ne6569,2020/02/21,in the morning,35,\"Avery, Claire\"\ne6576,2020/02/23,late in the evening,17,\"Lydia, Rylee\"\ne6588,2020/03/01,during lunch hours,8,Olivia\ne6593,2020/03/04,in the late afternoon,35,\"Avery, Olivia, Eva, Piper\"\ne6597,2020/03/08,in the early evening,27,Nora\ne6600,2020/03/10,in the early evening,26,Olivia\ne6603,2020/03/13,in the early evening,27,Avery\ne6605,2020/03/17,in the early afternoon,12,\"Lydia, Hazel, Avery, Nevaeh\"\ne6609,2020/03/19,in the early afternoon,42,\"Eva, Nora\"\ne6613,2020/03/22,in the early afternoon,51,Layla\ne6625,2020/03/30,in the late afternoon,34,\"Nora, Lydia, Nevaeh\"\ne6637,2020/04/06,in the morning,48,Eva\ne6640,2020/04/07,in the morning,44,Hazel\ne6644,2020/04/10,late in the evening,7,\"Nevaeh, Eva, Rylee, Hazel\"\ne6646,2020/04/11,late in the evening,28,\"Eva, Nora, Layla\"\ne6648,2020/04/13,in the morning,10,\"Layla, Rylee\"\ne6663,2020/04/24,late in the evening,35,Lydia\ne6669,2020/04/26,in the early evening,29,\"Lydia, Hazel, Kinsley, Nevaeh\"\ne6671,2020/04/27,during lunch hours,29,Rylee\ne6674,2020/04/28,in the early evening,33,\"Layla, Olivia, Kinsley, Avery\"\ne6686,2020/05/07,during lunch hours,28,\"Nora, Nevaeh\"\ne6688,2020/05/08,in the late afternoon,51,\"Eva, Piper, Hazel, Claire\"\ne6698,2020/05/16,late in the evening,12,\"Piper, Nevaeh\"\ne6699,2020/05/17,in the early evening,54,\"Nora, Rylee, Nevaeh\"\ne6703,2020/05/18,in the early afternoon,25,\"Lydia, Claire, Hazel, Layla\"\ne6710,2020/05/23,in the late afternoon,43,\"Rylee, Olivia, Piper, Avery\"\ne6713,2020/05/25,in the early evening,34,\"Rylee, Avery, Layla\"\ne6715,2020/05/26,during lunch hours,8,Piper\ne6719,2020/05/30,in the early afternoon,47,\"Avery, Olivia, Kinsley\"\ne6721,2020/05/31,in the late afternoon,17,\"Nora, Hazel, Layla\"\ne6728,2020/06/02,in the early afternoon,26,Claire\ne6729,2020/06/03,in the morning,8,\"Piper, Hazel\"\ne6733,2020/06/06,during lunch hours,34,Eva\ne6735,2020/06/07,in the early afternoon,38,\"Piper, Olivia, Hazel, Eva\"\ne6737,2020/06/08,in the early evening,17,Avery\ne6740,2020/06/09,during lunch hours,33,Rylee\ne6746,2020/06/13,during lunch hours,40,\"Nevaeh, Layla, Kinsley\"\ne6755,2020/06/18,in the morning,55,\"Piper, Kinsley\"\ne6760,2020/06/21,during lunch hours,18,Lydia\ne6768,2020/06/26,late in the evening,41,Layla\ne6781,2020/07/03,late in the evening,21,\"Lydia, Nevaeh, Piper\"\ne6784,2020/07/05,in the early afternoon,26,\"Lydia, Claire, Piper\"\ne6787,2020/07/06,in the early afternoon,40,\"Piper, Eva, Hazel\"\ne6792,2020/07/09,in the early afternoon,26,\"Layla, Piper\"\ne6796,2020/07/13,during lunch hours,54,Kinsley\ne6803,2020/07/19,in the early evening,46,\"Piper, Nora, Lydia\"\ne6806,2020/07/26,during lunch hours,13,Hazel\ne6812,2020/07/29,in the late afternoon,28,Kinsley\ne6817,2020/08/01,during lunch hours,48,\"Piper, Kinsley\"\ne6828,2020/08/08,in the morning,44,\"Lydia, Claire, Eva\"\ne6834,2020/08/15,in the early evening,55,Nevaeh\ne6838,2020/08/17,in the early afternoon,26,\"Claire, Nevaeh, Nora\"\ne6840,2020/08/20,in the late afternoon,10,Nora\ne6851,2020/08/29,during lunch hours,19,\"Hazel, Piper, Piper, Eva\"\ne6853,2020/08/30,during lunch hours,24,Avery\ne6865,2020/09/07,in the late afternoon,31,\"Nora, Eva\"\ne6870,2020/09/09,in the late afternoon,40,\"Claire, Nevaeh\"\ne6891,2020/09/21,in the early evening,26,\"Kinsley, Rylee, Hazel\"\ne6893,2020/09/22,in the early afternoon,37,Kinsley\ne6901,2020/09/29,during lunch hours,49,\"Piper, Layla, Avery, Nora\"\ne6907,2020/10/03,during lunch hours,36,\"Rylee, Nevaeh\"\ne6908,2020/10/04,late in the evening,17,\"Piper, Kinsley, Hazel, Avery\"\ne6914,2020/10/08,in the early afternoon,34,\"Layla, Claire, Kinsley\"\ne6918,2020/10/12,during lunch hours,13,\"Piper, Piper\"\ne6930,2020/10/20,during lunch hours,52,\"Hazel, Lydia\"\ne6935,2020/10/23,in the early evening,30,\"Layla, Avery, Piper\"\ne6940,2020/10/25,in the early evening,17,\"Lydia, Piper\"\ne6941,2020/10/26,in the morning,39,\"Hazel, Piper\"\ne6945,2020/10/27,during lunch hours,39,\"Eva, Piper, Layla, Claire\"\ne6975,2020/11/12,late in the evening,15,\"Piper, Rylee, Lydia\"\ne6977,2020/11/13,in the late afternoon,14,\"Olivia, Piper, Claire, Avery\"\ne6981,2020/11/15,in the early afternoon,38,\"Layla, Avery, Eva, Kinsley\"\ne6987,2020/11/19,late in the evening,37,Layla\ne6992,2020/11/24,in the early afternoon,22,Piper\ne6994,2020/11/27,during lunch hours,31,\"Kinsley, Claire\"\ne6995,2020/11/28,in the early evening,49,\"Rylee, Hazel\"\ne6997,2020/11/29,in the early afternoon,50,\"Piper, Nora, Layla, Eva\"\ne7009,2020/12/08,in the morning,54,\"Piper, Eva, Avery, Kinsley\"\ne7013,2020/12/10,in the early afternoon,52,\"Nevaeh, Nora, Layla, Hazel\"\ne7017,2020/12/11,in the late afternoon,19,\"Rylee, Piper\"\ne7019,2020/12/13,late in the evening,53,Hazel\ne7021,2020/12/15,late in the evening,55,\"Nora, Piper, Avery\"\ne7031,2020/12/20,in the late afternoon,44,\"Lydia, Claire\"\ne7038,2020/12/26,in the morning,46,\"Avery, Nevaeh\"\ne7042,2020/12/27,in the early evening,44,\"Nevaeh, Olivia, Layla\"\ne7045,2020/12/30,in the early evening,54,\"Hazel, Claire\"\ne7142,2021/01/02,in the early afternoon,40,\"Kinsley, Claire, Nevaeh, Lydia\"\ne7146,2021/01/03,during lunch hours,29,\"Piper, Kinsley, Hazel, Layla\"\ne7152,2021/01/08,late in the evening,12,\"Claire, Hazel, Lydia, Avery\"\ne7158,2021/01/11,in the early evening,36,\"Nora, Piper, Eva, Piper\"\ne7160,2021/01/13,in the early afternoon,49,\"Lydia, Hazel, Claire, Nevaeh\"\ne7163,2021/01/15,in the late afternoon,52,\"Rylee, Claire, Eva, Piper\"\ne7177,2021/01/25,in the late afternoon,51,Rylee\ne7186,2021/01/31,during lunch hours,23,\"Piper, Eva\"\ne7193,2021/02/02,late in the evening,26,\"Eva, Lydia\"\ne7198,2021/02/04,in the early evening,38,Nevaeh\ne7206,2021/02/09,in the early evening,6,\"Lydia, Nevaeh, Piper\"\ne7208,2021/02/10,late in the evening,18,\"Avery, Nevaeh, Kinsley, Piper\"\ne7214,2021/02/15,in the morning,41,\"Claire, Avery\"\ne7221,2021/02/20,in the early evening,7,\"Hazel, Nora, Claire, Eva\"\ne7222,2021/02/21,during lunch hours,42,Olivia\ne7225,2021/02/24,in the late afternoon,40,\"Hazel, Nevaeh\"\ne7231,2021/02/27,in the morning,52,\"Avery, Eva, Lydia\"\ne7243,2021/03/07,late in the evening,44,\"Kinsley, Nevaeh\"\ne7250,2021/03/10,in the early afternoon,52,\"Avery, Piper\"\ne7257,2021/03/14,late in the evening,30,\"Avery, Kinsley, Rylee\"\ne7259,2021/03/15,in the morning,37,\"Eva, Avery, Piper\"\ne7267,2021/03/18,in the early evening,42,Layla\ne7272,2021/03/22,in the early afternoon,50,\"Rylee, Kinsley, Claire\"\ne7275,2021/03/24,during lunch hours,53,\"Avery, Kinsley, Piper\"\ne7279,2021/03/26,late in the evening,11,\"Claire, Kinsley, Avery\"\ne7284,2021/03/28,during lunch hours,44,\"Layla, Eva, Piper, Nevaeh\"\ne7287,2021/03/30,in the early evening,44,\"Olivia, Eva, Layla\"\ne7289,2021/04/01,in the early evening,10,\"Kinsley, Piper\"\ne7294,2021/04/03,in the early evening,5,\"Eva, Nora\"\ne7302,2021/04/08,in the early afternoon,9,\"Piper, Lydia, Piper, Claire\"\ne7305,2021/04/11,in the early evening,29,\"Piper, Avery, Kinsley\"\ne7310,2021/04/14,in the early evening,20,\"Claire, Piper, Kinsley\"\ne7311,2021/04/15,during lunch hours,37,Claire\ne7314,2021/04/18,in the morning,45,\"Nora, Claire\"\ne7317,2021/04/20,late in the evening,41,Rylee\ne7321,2021/04/23,late in the evening,12,\"Lydia, Olivia, Hazel\"\ne7324,2021/04/25,during lunch hours,41,\"Eva, Nora, Claire, Rylee\"\ne7329,2021/04/26,in the morning,14,\"Piper, Layla, Piper, Eva\"\ne7336,2021/05/01,in the early afternoon,22,\"Rylee, Nevaeh, Eva\"\ne7342,2021/05/05,in the early evening,55,\"Nora, Kinsley, Eva, Nevaeh\"\ne7347,2021/05/09,in the early afternoon,6,\"Hazel, Rylee, Kinsley\"\ne7350,2021/05/10,in the early evening,38,Layla\ne7355,2021/05/13,in the early afternoon,34,\"Nevaeh, Hazel, Olivia\"\ne7362,2021/05/18,in the late afternoon,42,\"Rylee, Nevaeh, Kinsley\"\ne7370,2021/05/24,in the late afternoon,39,\"Nora, Claire, Piper\"\ne7374,2021/05/25,in the late afternoon,20,Rylee\ne7377,2021/05/27,in the early afternoon,52,\"Piper, Layla, Olivia\"\ne7378,2021/05/29,in the early evening,49,\"Rylee, Eva\"\ne7388,2021/06/07,in the early evening,23,\"Lydia, Hazel, Nora\"\ne7392,2021/06/12,late in the evening,17,\"Lydia, Nevaeh, Rylee, Hazel\"\ne7394,2021/06/13,during lunch hours,46,Piper\ne7395,2021/06/14,during lunch hours,51,\"Rylee, Lydia\"\ne7400,2021/06/17,in the early evening,37,\"Layla, Hazel, Claire\"\ne7414,2021/06/27,during lunch hours,11,\"Eva, Claire, Piper\"\ne7415,2021/06/28,in the morning,51,\"Layla, Claire\"\ne7418,2021/06/30,in the early afternoon,15,Kinsley\ne7421,2021/07/01,in the late afternoon,11,\"Olivia, Layla\"\ne7427,2021/07/03,late in the evening,26,\"Nora, Olivia, Rylee, Avery\"\ne7430,2021/07/05,late in the evening,17,\"Avery, Nevaeh\"\ne7436,2021/07/07,in the late afternoon,24,\"Hazel, Layla\"\ne7439,2021/07/10,during lunch hours,30,\"Piper, Rylee, Olivia\"\ne7443,2021/07/12,in the morning,24,\"Eva, Hazel, Rylee, Nevaeh\"\ne7445,2021/07/14,late in the evening,10,\"Hazel, Avery\"\ne7446,2021/07/16,in the late afternoon,14,\"Rylee, Nevaeh, Olivia, Layla\"\ne7451,2021/07/19,in the morning,52,\"Piper, Olivia, Kinsley\"\ne7466,2021/07/27,in the early evening,43,\"Rylee, Piper, Piper, Avery\"\ne7469,2021/07/29,in the morning,10,\"Avery, Hazel, Nora, Olivia\"\ne7472,2021/07/31,in the late afternoon,12,\"Layla, Piper, Lydia\"\ne7475,2021/08/01,in the early afternoon,41,Claire\ne7480,2021/08/03,in the early afternoon,49,Claire\ne7504,2021/08/21,during lunch hours,31,\"Piper, Lydia, Olivia, Rylee\"\ne7511,2021/08/27,late in the evening,47,\"Piper, Lydia\"\ne7515,2021/08/29,in the early afternoon,21,\"Eva, Rylee\"\ne7521,2021/09/03,in the early afternoon,27,\"Piper, Lydia\"\ne7525,2021/09/04,in the late afternoon,35,\"Kinsley, Hazel, Piper\"\ne7527,2021/09/06,in the early evening,39,Nora\ne7539,2021/09/12,late in the evening,44,\"Nevaeh, Rylee\"\ne7543,2021/09/14,in the early afternoon,10,\"Piper, Rylee, Kinsley\"\ne7564,2021/09/26,in the early evening,17,\"Nevaeh, Eva, Nora\"\ne7565,2021/09/27,during lunch hours,25,Rylee\ne7566,2021/09/28,during lunch hours,7,Layla\ne7569,2021/09/29,during lunch hours,36,\"Nevaeh, Avery, Layla, Olivia\"\ne7582,2021/10/06,during lunch hours,29,\"Layla, Avery\"\ne7586,2021/10/10,in the morning,44,Lydia\ne7602,2021/10/23,in the early afternoon,44,\"Nora, Eva\"\ne7605,2021/10/24,late in the evening,10,\"Hazel, Kinsley, Lydia\"\ne7614,2021/10/28,in the morning,27,\"Piper, Claire\"\ne7617,2021/10/30,in the late afternoon,33,\"Nevaeh, Rylee, Piper, Layla\"\ne7622,2021/11/02,in the morning,30,\"Olivia, Claire, Nora, Layla\"\ne7626,2021/11/04,in the early evening,47,Claire\ne7634,2021/11/07,in the early afternoon,20,\"Piper, Eva, Layla\"\ne7636,2021/11/08,in the late afternoon,32,\"Nevaeh, Piper\"\ne7642,2021/11/12,late in the evening,39,\"Nevaeh, Piper, Olivia, Nora\"\ne7646,2021/11/15,during lunch hours,45,\"Nora, Piper\"\ne7657,2021/11/21,in the early evening,11,Avery\ne7659,2021/11/25,in the late afternoon,55,Piper\ne7669,2021/12/02,in the early afternoon,49,\"Claire, Kinsley, Nevaeh, Piper\"\ne7671,2021/12/03,in the early afternoon,21,Piper\ne7684,2021/12/13,in the late afternoon,25,Rylee\ne7693,2021/12/18,in the early afternoon,39,\"Piper, Olivia\"\ne7699,2021/12/22,in the early afternoon,6,\"Nevaeh, Claire, Hazel\"\ne7703,2021/12/25,during lunch hours,45,\"Piper, Avery, Claire, Rylee\"\ne7704,2021/12/27,late in the evening,14,\"Hazel, Rylee, Claire\"\ne7707,2021/12/28,in the early evening,18,\"Claire, Piper\"\ne7811,2022/01/11,late in the evening,28,\"Kinsley, Olivia, Nora, Nevaeh\"\ne7813,2022/01/12,in the early evening,32,\"Eva, Layla\"\ne7817,2022/01/17,in the morning,11,Claire\ne7821,2022/01/19,in the late afternoon,47,\"Nevaeh, Eva, Lydia\"\ne7828,2022/01/22,during lunch hours,37,Claire\ne7830,2022/01/24,late in the evening,5,\"Hazel, Olivia, Nevaeh, Claire\"\ne7832,2022/01/28,in the early afternoon,27,\"Piper, Rylee, Hazel\"\ne7836,2022/01/30,in the early afternoon,20,\"Piper, Eva, Nora\"\ne7838,2022/01/31,in the morning,14,Hazel\ne7849,2022/02/09,in the late afternoon,18,\"Layla, Rylee, Avery, Eva\"\ne7850,2022/02/10,in the morning,31,\"Nora, Kinsley, Claire\"\ne7851,2022/02/11,late in the evening,18,\"Kinsley, Olivia, Hazel, Nora\"\ne7852,2022/02/12,during lunch hours,54,\"Claire, Avery, Nora, Piper\"\ne7859,2022/02/16,late in the evening,24,\"Hazel, Eva\"\ne7862,2022/02/18,in the early evening,6,\"Piper, Kinsley, Rylee\"\ne7867,2022/02/22,in the late afternoon,9,Rylee\ne7870,2022/02/25,in the late afternoon,19,\"Claire, Piper\"\ne7877,2022/03/01,in the early afternoon,26,\"Hazel, Piper, Eva, Olivia\"\ne7881,2022/03/05,in the morning,6,\"Kinsley, Piper, Piper\"\ne7883,2022/03/07,in the early afternoon,38,\"Olivia, Nora\"\ne7887,2022/03/11,in the early evening,19,\"Lydia, Olivia\"\ne7890,2022/03/13,during lunch hours,9,\"Eva, Nora\"\ne7898,2022/03/16,during lunch hours,28,\"Nora, Piper, Avery\"\ne7900,2022/03/18,in the late afternoon,43,Kinsley\ne7906,2022/03/22,late in the evening,51,Nora\ne7908,2022/03/23,in the morning,45,Piper\ne7912,2022/03/28,in the early evening,20,\"Avery, Piper\"\ne7917,2022/04/03,late in the evening,23,\"Claire, Piper, Piper\"\ne7922,2022/04/05,in the early evening,39,\"Olivia, Hazel, Nora\"\ne7925,2022/04/07,late in the evening,45,\"Nevaeh, Claire\"\ne7927,2022/04/08,in the early afternoon,54,\"Piper, Nevaeh, Kinsley\"\ne7930,2022/04/11,in the morning,28,Rylee\ne7948,2022/04/21,during lunch hours,10,\"Piper, Avery, Claire, Kinsley\"\ne7954,2022/04/25,late in the evening,32,\"Eva, Nora\"\ne7955,2022/04/27,late in the evening,19,\"Piper, Lydia, Hazel\"\ne7958,2022/05/02,in the morning,37,Hazel\ne7969,2022/05/09,in the late afternoon,38,Rylee\ne7973,2022/05/10,during lunch hours,32,\"Piper, Piper\"\ne7980,2022/05/14,in the early evening,45,\"Olivia, Lydia, Kinsley, Piper\"\ne7982,2022/05/15,in the morning,7,\"Hazel, Nora\"\ne7989,2022/05/17,during lunch hours,44,\"Hazel, Claire\"\ne7991,2022/05/19,in the early afternoon,20,\"Nora, Avery, Lydia, Rylee\"\ne7993,2022/05/21,in the early evening,20,Piper\ne7998,2022/05/25,during lunch hours,33,Nevaeh\ne8003,2022/05/29,late in the evening,13,\"Layla, Olivia, Nora, Piper\"\ne8006,2022/05/30,in the early evening,22,\"Nevaeh, Layla\"\ne8009,2022/05/31,late in the evening,41,\"Eva, Rylee, Avery\"\ne8013,2022/06/04,during lunch hours,35,\"Avery, Nora, Claire, Kinsley\"\ne8020,2022/06/09,during lunch hours,39,\"Nora, Claire, Piper\"\ne8023,2022/06/10,during lunch hours,9,\"Nevaeh, Piper, Kinsley\"\ne8041,2022/06/28,late in the evening,6,Hazel\ne8047,2022/07/01,in the early afternoon,9,\"Avery, Hazel\"\ne8056,2022/07/06,in the early evening,47,\"Nora, Rylee\"\ne8059,2022/07/07,during lunch hours,40,\"Avery, Lydia, Claire, Rylee\"\ne8068,2022/07/14,in the morning,5,\"Piper, Claire, Hazel, Eva\"\ne8073,2022/07/21,in the late afternoon,45,\"Avery, Piper, Claire, Hazel\"\ne8079,2022/07/25,in the late afternoon,14,\"Lydia, Layla\"\ne8083,2022/07/27,in the late afternoon,30,Olivia\ne8090,2022/08/03,in the early afternoon,17,Layla\ne8099,2022/08/08,in the early evening,35,Nora\ne8106,2022/08/13,in the late afternoon,39,\"Layla, Claire, Rylee, Piper\"\ne8108,2022/08/14,during lunch hours,20,\"Avery, Hazel\"\ne8113,2022/08/20,in the morning,21,\"Olivia, Avery, Nevaeh\"\ne8116,2022/08/23,late in the evening,7,\"Claire, Olivia, Rylee\"\ne8119,2022/08/26,in the morning,15,\"Lydia, Avery\"\ne8122,2022/08/27,late in the evening,15,\"Lydia, Avery, Kinsley\"\ne8124,2022/08/28,in the morning,21,Piper\ne8127,2022/08/29,during lunch hours,26,\"Nevaeh, Piper, Rylee\"\ne8134,2022/09/01,in the early afternoon,10,Nora\ne8136,2022/09/02,in the late afternoon,37,Hazel\ne8148,2022/09/09,in the early afternoon,26,\"Nevaeh, Layla, Rylee, Kinsley\"\ne8151,2022/09/10,in the early evening,15,\"Kinsley, Claire, Eva, Nora\"\ne8153,2022/09/11,in the early afternoon,33,\"Rylee, Piper, Nora\"\ne8156,2022/09/13,late in the evening,55,\"Lydia, Kinsley, Layla, Olivia\"\ne8161,2022/09/15,in the early evening,23,\"Piper, Layla, Olivia, Piper\"\ne8166,2022/09/20,in the early evening,30,\"Lydia, Nora, Nevaeh, Layla\"\ne8168,2022/09/21,in the early evening,48,\"Lydia, Eva, Nora\"\ne8175,2022/09/24,in the early evening,14,\"Eva, Layla, Kinsley, Nora\"\ne8179,2022/09/26,in the early afternoon,15,\"Claire, Piper\"\ne8187,2022/10/01,during lunch hours,6,\"Eva, Nora\"\ne8189,2022/10/03,in the late afternoon,49,\"Nora, Piper, Piper\"\ne8192,2022/10/05,in the late afternoon,37,\"Hazel, Rylee\"\ne8197,2022/10/07,during lunch hours,53,Avery\ne8199,2022/10/09,in the early evening,22,Rylee\ne8243,2022/11/05,in the early evening,36,Rylee\ne8247,2022/11/06,in the late afternoon,19,Olivia\ne8250,2022/11/08,in the late afternoon,25,\"Nora, Nevaeh, Rylee, Layla\"\ne8257,2022/11/14,in the early afternoon,22,\"Eva, Avery, Kinsley\"\ne8260,2022/11/15,in the early evening,17,Hazel\ne8265,2022/11/17,late in the evening,42,\"Layla, Lydia, Avery, Claire\"\ne8269,2022/11/18,in the early evening,15,Avery\ne8275,2022/11/21,late in the evening,11,\"Rylee, Piper, Eva\"\ne8278,2022/11/22,in the late afternoon,48,\"Lydia, Avery\"\ne8283,2022/11/25,during lunch hours,28,\"Avery, Olivia, Kinsley, Layla\"\ne8287,2022/11/29,in the morning,37,\"Avery, Claire, Eva, Layla\"\ne8291,2022/12/04,in the early afternoon,30,Kinsley\ne8295,2022/12/08,late in the evening,9,Lydia\ne8298,2022/12/10,in the morning,30,\"Nevaeh, Avery, Hazel, Claire\"\ne8311,2022/12/21,in the morning,30,\"Nevaeh, Eva, Piper, Rylee\"\ne8318,2022/12/26,in the early afternoon,43,\"Layla, Avery, Olivia\"\ne8323,2022/12/30,during lunch hours,19,\"Claire, Piper\"\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/daily_exercise-log.csv",
    "content": "eid,date,exercise,heart_rate\ne78,2010/01/01,HIIT,129\ne84,2010/01/07,running,146\ne87,2010/01/09,biking,106\ne92,2010/01/10,hiking,164\ne95,2010/01/12,swimming,156\ne102,2010/01/17,weight lifting,162\ne108,2010/01/22,HIIT,161\ne111,2010/01/23,running,148\ne113,2010/01/24,running,163\ne114,2010/01/25,running,152\ne133,2010/02/09,HIIT,156\ne136,2010/02/11,HIIT,160\ne173,2010/03/07,biking,131\ne184,2010/03/17,HIIT,146\ne210,2010/04/11,biking,115\ne212,2010/04/12,swimming,162\ne244,2010/05/06,hiking,144\ne254,2010/05/14,swimming,160\ne258,2010/05/17,biking,162\ne262,2010/05/20,weight lifting,156\ne283,2010/06/03,hiking,158\ne314,2010/06/25,swimming,143\ne316,2010/06/26,hiking,136\ne319,2010/06/28,hiking,135\ne337,2010/07/10,biking,162\ne341,2010/07/12,swimming,149\ne344,2010/07/13,HIIT,159\ne345,2010/07/14,hiking,143\ne351,2010/07/17,biking,152\ne354,2010/07/19,HIIT,149\ne356,2010/07/21,swimming,153\ne360,2010/07/23,running,128\ne366,2010/07/26,hiking,145\ne371,2010/07/29,HIIT,157\ne378,2010/08/06,running,116\ne383,2010/08/09,weight lifting,124\ne408,2010/08/23,weight lifting,119\ne415,2010/08/27,hiking,125\ne420,2010/08/30,hiking,150\ne433,2010/09/07,weight lifting,143\ne443,2010/09/13,weight lifting,152\ne445,2010/09/14,biking,135\ne450,2010/09/18,HIIT,122\ne464,2010/09/27,running,141\ne477,2010/10/03,weight lifting,126\ne480,2010/10/05,swimming,141\ne484,2010/10/08,swimming,155\ne491,2010/10/16,HIIT,159\ne499,2010/10/21,swimming,160\ne504,2010/10/23,HIIT,158\ne511,2010/10/28,biking,140\ne513,2010/10/31,hiking,155\ne515,2010/11/01,hiking,144\ne519,2010/11/03,weight lifting,155\ne530,2010/11/14,running,124\ne539,2010/11/24,biking,110\ne577,2010/12/21,HIIT,146\ne578,2010/12/22,HIIT,155\ne588,2010/12/29,weight lifting,160\ne591,2010/12/30,hiking,137\ne687,2011/01/01,biking,139\ne689,2011/01/03,running,138\ne697,2011/01/07,swimming,164\ne704,2011/01/11,biking,148\ne707,2011/01/12,HIIT,149\ne710,2011/01/13,weight lifting,146\ne718,2011/01/22,hiking,119\ne721,2011/01/24,swimming,133\ne725,2011/01/27,HIIT,136\ne729,2011/01/28,running,159\ne733,2011/01/31,biking,158\ne738,2011/02/02,swimming,163\ne740,2011/02/03,running,142\ne744,2011/02/05,HIIT,151\ne749,2011/02/09,swimming,124\ne755,2011/02/12,weight lifting,120\ne758,2011/02/13,running,146\ne773,2011/02/24,swimming,106\ne775,2011/02/25,running,162\ne801,2011/03/17,swimming,151\ne808,2011/03/20,weight lifting,144\ne810,2011/03/21,biking,118\ne816,2011/03/23,biking,131\ne818,2011/03/27,biking,128\ne827,2011/04/01,swimming,142\ne841,2011/04/08,hiking,137\ne862,2011/04/17,hiking,133\ne869,2011/04/23,hiking,159\ne882,2011/05/02,biking,155\ne888,2011/05/04,HIIT,165\ne921,2011/06/03,biking,121\ne927,2011/06/06,hiking,152\ne934,2011/06/09,running,131\ne937,2011/06/10,biking,139\ne948,2011/06/16,swimming,121\ne955,2011/06/20,running,156\ne969,2011/06/30,HIIT,150\ne982,2011/07/08,biking,160\ne990,2011/07/12,HIIT,102\ne995,2011/07/16,hiking,150\ne1000,2011/07/21,biking,154\ne1003,2011/07/22,biking,118\ne1025,2011/08/06,biking,124\ne1030,2011/08/08,biking,158\ne1032,2011/08/11,running,160\ne1037,2011/08/15,biking,136\ne1044,2011/08/19,HIIT,138\ne1052,2011/08/25,swimming,105\ne1084,2011/09/16,biking,155\ne1087,2011/09/17,HIIT,150\ne1093,2011/09/19,swimming,110\ne1108,2011/09/27,swimming,133\ne1111,2011/09/29,HIIT,146\ne1119,2011/10/04,swimming,150\ne1121,2011/10/06,running,159\ne1143,2011/10/21,HIIT,165\ne1167,2011/11/12,hiking,94\ne1172,2011/11/17,HIIT,156\ne1194,2011/12/05,running,138\ne1201,2011/12/08,running,125\ne1204,2011/12/11,running,142\ne1211,2011/12/17,HIIT,163\ne1223,2011/12/27,running,153\ne1227,2011/12/30,HIIT,154\ne1317,2012/01/03,running,107\ne1338,2012/01/26,swimming,129\ne1349,2012/02/04,HIIT,161\ne1360,2012/02/12,swimming,144\ne1365,2012/02/14,HIIT,129\ne1367,2012/02/16,weight lifting,154\ne1370,2012/02/17,HIIT,142\ne1381,2012/02/28,running,132\ne1408,2012/03/19,running,155\ne1411,2012/03/21,swimming,138\ne1413,2012/03/22,weight lifting,151\ne1416,2012/03/23,swimming,154\ne1419,2012/03/25,HIIT,145\ne1426,2012/04/01,swimming,161\ne1427,2012/04/02,swimming,115\ne1436,2012/04/10,biking,152\ne1441,2012/04/12,running,140\ne1446,2012/04/15,running,125\ne1452,2012/04/20,biking,114\ne1457,2012/04/23,weight lifting,144\ne1477,2012/05/06,running,135\ne1480,2012/05/07,weight lifting,163\ne1493,2012/05/16,hiking,121\ne1494,2012/05/17,swimming,135\ne1501,2012/05/21,swimming,135\ne1503,2012/05/22,swimming,136\ne1506,2012/05/25,running,157\ne1513,2012/05/28,biking,116\ne1519,2012/06/01,hiking,137\ne1524,2012/06/05,swimming,152\ne1549,2012/06/21,swimming,132\ne1560,2012/06/27,HIIT,129\ne1561,2012/06/28,weight lifting,149\ne1586,2012/07/13,biking,105\ne1596,2012/07/23,hiking,155\ne1602,2012/07/27,biking,138\ne1606,2012/07/29,swimming,160\ne1608,2012/07/31,HIIT,138\ne1612,2012/08/03,weight lifting,105\ne1619,2012/08/08,hiking,136\ne1620,2012/08/09,HIIT,126\ne1632,2012/08/15,swimming,125\ne1647,2012/08/24,hiking,153\ne1659,2012/09/03,HIIT,150\ne1688,2012/09/23,weight lifting,144\ne1697,2012/09/26,hiking,132\ne1704,2012/09/29,HIIT,126\ne1708,2012/09/30,weight lifting,156\ne1712,2012/10/01,weight lifting,107\ne1719,2012/10/04,biking,134\ne1732,2012/10/10,biking,116\ne1734,2012/10/11,running,153\ne1746,2012/10/18,hiking,163\ne1755,2012/10/27,biking,119\ne1757,2012/10/28,biking,110\ne1763,2012/10/31,hiking,104\ne1780,2012/11/08,running,155\ne1786,2012/11/13,HIIT,155\ne1801,2012/11/24,swimming,140\ne1826,2012/12/10,HIIT,127\ne1953,2013/01/02,running,143\ne1956,2013/01/04,HIIT,123\ne1960,2013/01/07,HIIT,154\ne1961,2013/01/08,hiking,142\ne1969,2013/01/12,hiking,158\ne1974,2013/01/13,hiking,162\ne1978,2013/01/15,swimming,146\ne1982,2013/01/17,running,130\ne1989,2013/01/23,hiking,159\ne2021,2013/02/25,running,147\ne2023,2013/02/26,weight lifting,135\ne2034,2013/03/04,weight lifting,152\ne2041,2013/03/10,running,147\ne2054,2013/03/18,weight lifting,155\ne2058,2013/03/20,weight lifting,153\ne2069,2013/03/25,swimming,140\ne2073,2013/03/26,HIIT,159\ne2081,2013/03/30,running,155\ne2086,2013/04/03,swimming,155\ne2096,2013/04/09,HIIT,163\ne2101,2013/04/12,HIIT,122\ne2104,2013/04/14,biking,99\ne2110,2013/04/18,biking,148\ne2113,2013/04/20,HIIT,151\ne2119,2013/04/21,biking,155\ne2125,2013/04/25,running,139\ne2127,2013/04/26,running,130\ne2128,2013/04/28,HIIT,148\ne2162,2013/05/21,biking,154\ne2167,2013/05/25,HIIT,163\ne2172,2013/05/28,HIIT,134\ne2188,2013/06/07,swimming,160\ne2192,2013/06/09,swimming,146\ne2196,2013/06/10,weight lifting,155\ne2200,2013/06/11,weight lifting,133\ne2202,2013/06/12,weight lifting,156\ne2223,2013/06/20,biking,158\ne2228,2013/06/24,weight lifting,159\ne2236,2013/06/30,running,154\ne2238,2013/07/01,HIIT,107\ne2241,2013/07/02,swimming,149\ne2266,2013/07/19,hiking,124\ne2269,2013/07/24,hiking,138\ne2277,2013/07/31,weight lifting,149\ne2280,2013/08/01,HIIT,162\ne2294,2013/08/08,weight lifting,151\ne2298,2013/08/09,running,164\ne2300,2013/08/10,HIIT,133\ne2304,2013/08/14,weight lifting,94\ne2309,2013/08/17,running,131\ne2314,2013/08/21,swimming,135\ne2325,2013/08/30,running,120\ne2349,2013/09/15,biking,130\ne2352,2013/09/17,running,163\ne2368,2013/09/26,weight lifting,114\ne2375,2013/09/29,swimming,165\ne2378,2013/09/30,running,164\ne2384,2013/10/03,swimming,143\ne2387,2013/10/04,swimming,148\ne2397,2013/10/13,running,125\ne2405,2013/10/17,biking,145\ne2413,2013/10/22,swimming,129\ne2420,2013/10/26,running,140\ne2424,2013/10/28,running,158\ne2430,2013/11/02,hiking,156\ne2434,2013/11/06,hiking,154\ne2439,2013/11/08,biking,131\ne2440,2013/11/10,HIIT,151\ne2458,2013/11/27,hiking,154\ne2476,2013/12/09,biking,142\ne2483,2013/12/12,HIIT,151\ne2492,2013/12/21,HIIT,162\ne2502,2013/12/28,swimming,165\ne2503,2013/12/30,HIIT,139\ne2591,2014/01/01,biking,163\ne2608,2014/01/09,weight lifting,147\ne2614,2014/01/14,weight lifting,157\ne2618,2014/01/16,weight lifting,131\ne2636,2014/02/01,biking,157\ne2650,2014/02/09,biking,153\ne2677,2014/03/01,running,162\ne2698,2014/03/16,weight lifting,155\ne2714,2014/03/24,biking,138\ne2717,2014/03/25,weight lifting,127\ne2723,2014/03/28,swimming,149\ne2727,2014/03/30,HIIT,148\ne2738,2014/04/03,weight lifting,115\ne2740,2014/04/05,HIIT,138\ne2757,2014/04/13,swimming,115\ne2763,2014/04/17,HIIT,146\ne2767,2014/04/19,biking,123\ne2770,2014/04/20,hiking,158\ne2774,2014/04/22,weight lifting,134\ne2788,2014/05/01,HIIT,105\ne2798,2014/05/08,hiking,151\ne2801,2014/05/10,weight lifting,93\ne2805,2014/05/11,swimming,162\ne2820,2014/05/22,hiking,122\ne2829,2014/05/26,biking,150\ne2837,2014/05/30,swimming,165\ne2840,2014/06/01,HIIT,133\ne2848,2014/06/04,swimming,136\ne2849,2014/06/05,HIIT,125\ne2854,2014/06/09,HIIT,149\ne2862,2014/06/14,running,101\ne2866,2014/06/18,hiking,163\ne2873,2014/06/25,HIIT,160\ne2876,2014/06/27,hiking,155\ne2885,2014/07/03,weight lifting,160\ne2887,2014/07/04,HIIT,147\ne2913,2014/07/25,HIIT,154\ne2916,2014/07/31,weight lifting,122\ne2918,2014/08/01,hiking,111\ne2931,2014/08/13,swimming,146\ne2936,2014/08/15,HIIT,143\ne2938,2014/08/16,biking,152\ne2961,2014/08/28,HIIT,141\ne2964,2014/08/30,swimming,144\ne2971,2014/09/02,biking,147\ne2977,2014/09/08,swimming,155\ne2984,2014/09/11,swimming,126\ne2989,2014/09/14,running,111\ne2995,2014/09/16,hiking,158\ne2998,2014/09/19,running,131\ne3005,2014/09/23,hiking,120\ne3019,2014/10/04,hiking,144\ne3020,2014/10/05,swimming,147\ne3027,2014/10/11,biking,151\ne3034,2014/10/21,HIIT,165\ne3041,2014/10/25,running,159\ne3044,2014/10/27,HIIT,144\ne3052,2014/10/30,weight lifting,125\ne3060,2014/11/05,biking,150\ne3061,2014/11/06,running,155\ne3065,2014/11/08,biking,143\ne3077,2014/11/16,swimming,162\ne3086,2014/11/21,biking,137\ne3092,2014/11/25,swimming,125\ne3095,2014/11/26,swimming,138\ne3120,2014/12/14,HIIT,160\ne3124,2014/12/16,weight lifting,148\ne3128,2014/12/18,weight lifting,122\ne3136,2014/12/21,hiking,97\ne3139,2014/12/23,biking,126\ne3244,2015/01/07,swimming,137\ne3257,2015/01/15,swimming,138\ne3259,2015/01/18,hiking,145\ne3263,2015/01/21,hiking,149\ne3266,2015/01/24,hiking,118\ne3276,2015/01/31,hiking,157\ne3284,2015/02/03,HIIT,110\ne3291,2015/02/06,hiking,130\ne3298,2015/02/10,hiking,157\ne3310,2015/02/16,biking,116\ne3319,2015/02/27,weight lifting,135\ne3348,2015/03/17,hiking,147\ne3353,2015/03/20,weight lifting,110\ne3356,2015/03/21,weight lifting,126\ne3369,2015/03/30,HIIT,104\ne3373,2015/04/01,weight lifting,121\ne3384,2015/04/09,swimming,155\ne3391,2015/04/12,swimming,154\ne3431,2015/05/13,swimming,148\ne3435,2015/05/16,weight lifting,153\ne3449,2015/05/27,swimming,134\ne3453,2015/05/29,hiking,164\ne3459,2015/06/04,hiking,125\ne3466,2015/06/08,swimming,149\ne3467,2015/06/09,HIIT,159\ne3475,2015/06/13,HIIT,125\ne3477,2015/06/14,HIIT,124\ne3490,2015/06/25,weight 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lifting,137\ne3641,2015/10/02,HIIT,113\ne3644,2015/10/05,hiking,125\ne3647,2015/10/07,biking,153\ne3650,2015/10/08,biking,161\ne3659,2015/10/16,HIIT,134\ne3666,2015/10/18,HIIT,148\ne3669,2015/10/20,HIIT,137\ne3676,2015/10/28,swimming,138\ne3680,2015/10/29,swimming,154\ne3692,2015/11/05,HIIT,151\ne3703,2015/11/11,running,102\ne3710,2015/11/16,swimming,149\ne3727,2015/11/26,weight lifting,138\ne3734,2015/11/30,running,138\ne3737,2015/12/02,hiking,141\ne3750,2015/12/06,HIIT,119\ne3780,2015/12/23,biking,154\ne3790,2015/12/27,biking,113\ne3797,2015/12/29,hiking,139\ne3798,2015/12/30,weight lifting,159\ne3911,2016/01/06,weight lifting,143\ne3914,2016/01/07,weight lifting,96\ne3918,2016/01/09,HIIT,160\ne3948,2016/01/26,HIIT,129\ne3951,2016/01/29,weight lifting,148\ne3958,2016/01/31,swimming,136\ne3960,2016/02/01,swimming,165\ne3961,2016/02/02,weight 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  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/daily_meal-log.csv",
    "content": "eid,date,mealtype,foodtype,people_string\ne81,2010/01/03,dinner,chinese food,\ne83,2010/01/05,breakfast,cereals,Emily\ne86,2010/01/08,lunch,indian food,\ne88,2010/01/09,breakfast,cereals,\"Hazel, Rylee, Piper, Nora, Avery, Eva, Nevaeh, Claire, Lydia, Olivia, Layla, Kinsley\"\ne89,2010/01/09,lunch,sushi,\ne90,2010/01/09,dinner,chinese food,\"Kayden, Carter\"\ne93,2010/01/10,dinner,pasta,\ne104,2010/01/21,breakfast,pancakes,\ne105,2010/01/21,lunch,chinese food,\ne109,2010/01/22,lunch,tacos,\ne110,2010/01/22,dinner,chinese food,\"Emily, Carter\"\ne112,2010/01/23,lunch,steak,\"Kayden, Andrew, Emily, Carter\"\ne115,2010/01/25,breakfast,oatmeal,\"Olivia, Piper, Avery, Nevaeh, Claire, Lydia, Nora, Piper, Rylee, Eva, Layla, Kinsley\"\ne116,2010/01/25,dinner,indian food,\ne118,2010/01/26,dinner,chinese food,\ne120,2010/01/27,breakfast,pancakes,\"Kayden, Carter\"\ne124,2010/01/30,lunch,tacos,\"Layla, Piper, Lydia, Eva, Claire, Rylee\"\ne125,2010/01/31,dinner,a burger,\ne128,2010/02/06,breakfast,\"eggs, sausages, and bread\",\"Kayden, Emily\"\ne131,2010/02/07,breakfast,cereals,\ne134,2010/02/09,breakfast,oatmeal,\ne137,2010/02/11,lunch,tacos,\"Emily, Carter, Andrew\"\ne141,2010/02/15,dinner,sandwich,\"Piper, Lydia, Claire, Layla, Nora, Kinsley, Avery, Eva, Piper, Nevaeh, Hazel, Rylee\"\ne144,2010/02/19,dinner,sushi,\ne146,2010/02/21,lunch,fish and chips,\ne147,2010/02/21,dinner,sushi,\"Rylee, Hazel, Piper, Nora, Layla\"\ne150,2010/02/22,lunch,a burger,\"Emily, Kayden, Carter, Andrew\"\ne151,2010/02/23,lunch,steak,\ne156,2010/02/26,dinner,indian food,\ne159,2010/02/27,breakfast,pancakes,\"Carter, Andrew, Emily, Kayden\"\ne160,2010/02/28,breakfast,pancakes,\ne162,2010/03/01,lunch,chinese food,\"Avery, Piper, Layla, Lydia, Eva\"\ne163,2010/03/01,dinner,fish and chips,\ne165,2010/03/02,dinner,tacos,\ne168,2010/03/04,dinner,steak,\"Emily, Kayden, Carter, Andrew\"\ne170,2010/03/06,breakfast,cereals,\ne171,2010/03/06,lunch,fish and chips,\ne174,2010/03/07,dinner,steak,\ne175,2010/03/08,lunch,chinese food,\ne177,2010/03/10,dinner,chinese food,\ne180,2010/03/14,dinner,sushi,\ne182,2010/03/16,lunch,sandwich,\"Carter, Andrew, Emily\"\ne183,2010/03/16,dinner,indian food,\ne186,2010/03/18,lunch,fish and chips,\"Emily, Carter, Andrew, Kayden\"\ne187,2010/03/18,dinner,chinese food,\ne189,2010/03/22,dinner,chinese food,\ne193,2010/03/24,lunch,sushi,Lydia\ne194,2010/03/25,lunch,fish and chips,\ne196,2010/03/26,lunch,sushi,\"Andrew, Kayden\"\ne197,2010/03/26,dinner,a burger,\ne201,2010/03/29,lunch,sandwich,\"Avery, Jackson, Willow, Benjamin\"\ne205,2010/04/01,lunch,sushi,\ne206,2010/04/04,lunch,steak,\"Avery, Benjamin\"\ne208,2010/04/07,lunch,a burger,\"Jackson, Benjamin, Willow\"\ne211,2010/04/11,breakfast,peanut-butter-jam,\ne213,2010/04/13,breakfast,peanut-butter-jam,\ne214,2010/04/13,lunch,pasta,\ne217,2010/04/14,breakfast,cereals,\ne219,2010/04/16,lunch,fish and chips,\ne220,2010/04/17,dinner,tacos,\"Nevaeh, Olivia, Layla\"\ne223,2010/04/19,lunch,steak,\"Benjamin, Willow, Jackson, Avery\"\ne224,2010/04/20,lunch,sushi,\ne225,2010/04/21,dinner,tacos,\ne226,2010/04/22,breakfast,toast and cheese,\ne228,2010/04/23,dinner,a burger,\ne229,2010/04/24,lunch,pasta,\ne237,2010/05/02,dinner,indian food,\ne242,2010/05/05,lunch,fish and chips,\ne243,2010/05/05,dinner,sandwich,\"Emily, Andrew, Kayden, Carter\"\ne245,2010/05/06,breakfast,cereals,\ne247,2010/05/08,breakfast,oatmeal,\ne250,2010/05/11,lunch,pasta,\ne251,2010/05/13,breakfast,peanut-butter-jam,\ne252,2010/05/13,dinner,a burger,\ne256,2010/05/15,dinner,pasta,\ne260,2010/05/18,lunch,tacos,\ne263,2010/05/20,lunch,sandwich,\"Carter, Kayden, Emily\"\ne266,2010/05/21,dinner,tacos,\ne270,2010/05/24,lunch,a burger,\ne271,2010/05/24,dinner,indian food,\ne276,2010/05/28,dinner,sandwich,\"Andrew, Kayden\"\ne277,2010/05/29,lunch,indian food,\"Andrew, Emily\"\ne284,2010/06/03,dinner,pasta,\"Carter, Emily, Andrew\"\ne285,2010/06/05,breakfast,\"eggs, sausages, and bread\",\ne287,2010/06/06,dinner,chinese food,\ne288,2010/06/07,lunch,fish and chips,\ne290,2010/06/09,lunch,sushi,\ne291,2010/06/09,dinner,fish and chips,\ne295,2010/06/13,breakfast,peanut-butter-jam,\ne298,2010/06/15,breakfast,pancakes,\ne299,2010/06/15,dinner,tacos,\ne302,2010/06/16,breakfast,\"eggs, sausages, and bread\",\ne304,2010/06/17,lunch,pasta,\ne308,2010/06/19,dinner,steak,\ne312,2010/06/22,breakfast,cereals,\ne315,2010/06/25,breakfast,cereals,\ne317,2010/06/26,dinner,chinese food,\"Emily, Andrew, Carter\"\ne318,2010/06/27,lunch,indian food,\"Kayden, Andrew, Emily\"\ne322,2010/07/03,dinner,a burger,\ne324,2010/07/04,breakfast,cereals,\"Carter, Emily, Andrew, Kayden\"\ne325,2010/07/04,lunch,fish and chips,\ne326,2010/07/04,dinner,indian food,\ne329,2010/07/05,breakfast,\"eggs, sausages, and bread\",\"Andrew, Carter, Kayden, Emily\"\ne331,2010/07/06,dinner,a burger,\"Benjamin, Avery, Jackson\"\ne333,2010/07/08,breakfast,toast and cheese,\ne334,2010/07/08,dinner,fish and chips,\"Kayden, Andrew\"\ne338,2010/07/11,breakfast,oatmeal,\ne339,2010/07/11,dinner,fish and chips,\ne342,2010/07/12,breakfast,cereals,\"Andrew, Carter, Emily\"\ne346,2010/07/14,lunch,pasta,\ne347,2010/07/14,dinner,fish and chips,\ne349,2010/07/16,breakfast,pancakes,\ne352,2010/07/18,lunch,chinese food,\"Avery, Piper, Kinsley, Rylee, Claire, Lydia, Eva, Nora, Hazel, Olivia\"\ne353,2010/07/18,dinner,indian food,\ne357,2010/07/21,breakfast,oatmeal,\"Kinsley, Lydia, Avery\"\ne361,2010/07/23,lunch,a burger,\ne365,2010/07/25,dinner,sushi,\"Andrew, Kayden\"\ne368,2010/07/27,lunch,sandwich,\ne370,2010/07/28,lunch,steak,\"Hazel, Nevaeh, Nora, Olivia, Piper, Claire, Rylee, Avery\"\ne372,2010/07/29,lunch,indian food,\"Carter, Emily, Andrew, Kayden\"\ne373,2010/07/31,dinner,fish and chips,\"Andrew, Emily, Carter, Kayden\"\ne374,2010/08/02,lunch,indian food,\"Benjamin, Jackson, Avery, Willow\"\ne375,2010/08/05,breakfast,pancakes,\"Kayden, Andrew, Emily\"\ne376,2010/08/05,lunch,sandwich,\"Emily, Kayden\"\ne379,2010/08/07,lunch,a burger,\ne381,2010/08/08,breakfast,pancakes,\ne385,2010/08/10,dinner,a burger,\"Avery, Willow\"\ne386,2010/08/11,dinner,chinese food,\ne391,2010/08/13,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden, Carter\"\ne392,2010/08/13,dinner,a burger,\"Piper, Nevaeh, Avery, Lydia, Kinsley, Layla, Rylee\"\ne397,2010/08/16,lunch,tacos,\ne400,2010/08/18,dinner,sandwich,\ne403,2010/08/20,dinner,chinese food,\ne405,2010/08/21,lunch,sushi,\"Benjamin, Jackson, Willow, Avery\"\ne406,2010/08/22,breakfast,peanut-butter-jam,\ne409,2010/08/23,dinner,fish and chips,\ne417,2010/08/28,lunch,a burger,\"Eva, Kinsley, Layla, Nevaeh, Claire, Hazel, Olivia, Avery, Piper\"\ne422,2010/09/01,lunch,a burger,\"Kayden, Andrew, Emily, Carter\"\ne423,2010/09/01,dinner,fish and chips,\ne426,2010/09/02,lunch,tacos,\ne427,2010/09/02,dinner,chinese food,\"Andrew, Kayden, Emily, Carter\"\ne428,2010/09/03,breakfast,toast and cheese,\ne430,2010/09/04,dinner,indian food,\"Emily, Andrew, Carter, Kayden\"\ne440,2010/09/11,breakfast,peanut-butter-jam,\ne442,2010/09/12,dinner,chinese food,\ne444,2010/09/13,breakfast,toast and cheese,\ne446,2010/09/15,lunch,tacos,\"Emily, Kayden, Andrew, Carter\"\ne448,2010/09/17,dinner,tacos,\"Kinsley, Hazel, Eva, Piper\"\ne451,2010/09/18,breakfast,\"eggs, sausages, and bread\",Jackson\ne452,2010/09/18,lunch,sandwich,\ne454,2010/09/19,breakfast,cereals,\"Willow, Benjamin, Jackson\"\ne456,2010/09/20,lunch,chinese food,Nevaeh\ne458,2010/09/23,lunch,sandwich,\"Eva, Lydia, Nevaeh, Hazel, Piper, Rylee, Layla, Kinsley, Piper\"\ne462,2010/09/26,lunch,sandwich,\"Emily, Andrew\"\ne465,2010/09/27,dinner,sandwich,\ne468,2010/09/28,breakfast,oatmeal,\"Avery, Benjamin, Willow\"\ne469,2010/09/28,lunch,fish and chips,\"Emily, Andrew, Carter\"\ne471,2010/09/29,breakfast,\"eggs, sausages, and bread\",\ne472,2010/09/30,breakfast,toast and cheese,Carter\ne473,2010/09/30,dinner,sandwich,\ne475,2010/10/01,breakfast,oatmeal,Jackson\ne476,2010/10/02,dinner,indian food,\ne478,2010/10/04,lunch,tacos,\ne481,2010/10/05,lunch,steak,\ne482,2010/10/05,dinner,sushi,\ne485,2010/10/11,lunch,steak,\ne486,2010/10/12,lunch,tacos,\"Emily, Kayden\"\ne489,2010/10/15,lunch,steak,\ne492,2010/10/16,dinner,fish and chips,\ne496,2010/10/18,lunch,indian food,\ne500,2010/10/21,lunch,steak,\"Emily, Carter\"\ne501,2010/10/22,lunch,sushi,\ne502,2010/10/22,dinner,steak,\"Kayden, Emily, Carter, Andrew\"\ne506,2010/10/24,breakfast,toast and cheese,\ne507,2010/10/24,lunch,pasta,\ne509,2010/10/26,dinner,sandwich,\ne510,2010/10/27,dinner,pasta,\ne512,2010/10/30,lunch,pasta,\ne516,2010/11/01,lunch,a burger,\ne517,2010/11/01,dinner,fish and chips,\ne520,2010/11/03,dinner,a burger,\ne521,2010/11/06,lunch,sushi,\ne522,2010/11/06,dinner,tacos,\ne527,2010/11/12,lunch,chinese food,\ne529,2010/11/13,dinner,a burger,\"Emily, Andrew, Carter\"\ne531,2010/11/14,lunch,steak,\ne532,2010/11/14,dinner,pasta,\ne535,2010/11/17,lunch,chinese food,\ne538,2010/11/22,lunch,sandwich,\"Kayden, Andrew, Carter\"\ne542,2010/11/26,lunch,fish and chips,\ne543,2010/11/26,dinner,fish and chips,\ne546,2010/11/30,lunch,steak,Jackson\ne550,2010/12/04,lunch,chinese food,\"Piper, Lydia, Nevaeh, Hazel, Claire, Eva, Kinsley, Piper, Layla\"\ne554,2010/12/05,breakfast,cereals,\ne556,2010/12/06,dinner,sushi,\"Olivia, Nora, Eva, Layla, Lydia, Piper, Avery, Kinsley, Hazel, Rylee, Piper, Claire, Nevaeh\"\ne559,2010/12/10,lunch,pasta,\"Kayden, Carter, Andrew, Emily\"\ne560,2010/12/10,dinner,sushi,\ne566,2010/12/14,breakfast,oatmeal,\"Emily, Kayden\"\ne567,2010/12/14,lunch,sushi,\ne568,2010/12/14,dinner,steak,\ne569,2010/12/16,breakfast,oatmeal,\"Kayden, Carter\"\ne579,2010/12/23,breakfast,pancakes,\ne583,2010/12/26,breakfast,\"eggs, sausages, and bread\",\ne585,2010/12/28,dinner,steak,\"Willow, Benjamin\"\ne688,2011/01/02,breakfast,oatmeal,Kayden\ne690,2011/01/03,breakfast,oatmeal,\ne691,2011/01/03,lunch,chinese food,\ne692,2011/01/04,dinner,chinese food,\ne694,2011/01/06,dinner,pasta,\ne698,2011/01/07,lunch,pasta,\"Carter, Emily, Kayden\"\ne701,2011/01/09,breakfast,cereals,\"Avery, Benjamin\"\ne702,2011/01/09,lunch,indian food,\ne703,2011/01/10,lunch,tacos,\"Carter, Andrew, Emily, Kayden\"\ne705,2011/01/11,lunch,chinese food,\"Andrew, Kayden\"\ne716,2011/01/20,lunch,fish and chips,\"Kayden, Emily\"\ne719,2011/01/22,breakfast,toast and cheese,\ne720,2011/01/23,breakfast,cereals,\ne722,2011/01/24,lunch,steak,\ne723,2011/01/25,breakfast,toast and cheese,\"Jackson, Avery, Willow\"\ne726,2011/01/27,breakfast,oatmeal,\ne727,2011/01/27,lunch,chinese food,\ne730,2011/01/28,lunch,steak,\ne732,2011/01/29,lunch,tacos,\ne734,2011/01/31,breakfast,pancakes,\ne735,2011/01/31,dinner,tacos,\"Benjamin, Willow, Avery, Jackson\"\ne736,2011/02/01,dinner,chinese food,\"Carter, Emily, Kayden, Andrew\"\ne745,2011/02/06,dinner,tacos,\ne750,2011/02/09,lunch,pasta,\"Piper, Hazel, Layla, Rylee, Kinsley, Eva, Piper, Avery, Claire, Olivia\"\ne752,2011/02/10,lunch,steak,\ne753,2011/02/11,breakfast,toast and cheese,\"Emily, Carter\"\ne759,2011/02/13,breakfast,peanut-butter-jam,\"Kinsley, Lydia, Rylee, Piper, Nevaeh, Nora, Piper, Hazel, Layla, Olivia, Avery\"\ne760,2011/02/13,dinner,chinese food,\ne762,2011/02/16,dinner,indian food,\ne764,2011/02/17,lunch,a burger,\ne766,2011/02/19,dinner,tacos,\"Willow, Avery, Benjamin\"\ne767,2011/02/20,lunch,indian food,\ne769,2011/02/21,breakfast,peanut-butter-jam,Willow\ne776,2011/02/25,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew\"\ne778,2011/02/26,dinner,chinese food,Benjamin\ne780,2011/02/27,dinner,steak,\ne784,2011/03/03,breakfast,cereals,\ne787,2011/03/05,breakfast,toast and cheese,\ne788,2011/03/06,breakfast,\"eggs, sausages, and bread\",\ne792,2011/03/08,lunch,pasta,Emily\ne793,2011/03/08,dinner,sandwich,\ne794,2011/03/10,dinner,pasta,\"Andrew, Kayden\"\ne796,2011/03/11,lunch,a burger,\ne802,2011/03/18,dinner,pasta,\ne803,2011/03/19,breakfast,toast and cheese,\ne804,2011/03/19,lunch,steak,\ne805,2011/03/19,dinner,pasta,\ne809,2011/03/20,lunch,chinese food,\ne812,2011/03/22,breakfast,toast and cheese,\ne813,2011/03/22,lunch,chinese food,\"Olivia, Hazel, Rylee, Lydia, Claire\"\ne814,2011/03/22,dinner,pasta,\"Piper, Avery, Olivia, Hazel\"\ne820,2011/03/29,lunch,steak,\ne822,2011/03/30,breakfast,cereals,\ne823,2011/03/30,dinner,chinese food,\"Claire, Layla, Hazel, Kinsley, Nevaeh, Avery\"\ne826,2011/03/31,breakfast,pancakes,\ne829,2011/04/02,breakfast,peanut-butter-jam,\ne830,2011/04/02,lunch,sushi,\ne832,2011/04/04,dinner,pasta,\"Piper, Piper, Nevaeh, Nora, Eva, Layla, Olivia\"\ne836,2011/04/06,breakfast,oatmeal,\ne837,2011/04/06,dinner,pasta,\ne842,2011/04/09,lunch,fish and chips,\ne844,2011/04/10,lunch,pasta,\"Benjamin, Avery, Willow, Jackson\"\ne846,2011/04/11,lunch,chinese food,\"Emily, Andrew, Carter, Kayden\"\ne849,2011/04/12,dinner,fish and chips,\"Andrew, Emily, Carter, Kayden\"\ne851,2011/04/13,lunch,tacos,\"Piper, Avery, Claire, Lydia, Hazel, Nora\"\ne852,2011/04/13,dinner,tacos,\"Jackson, Benjamin, Willow\"\ne857,2011/04/15,breakfast,toast and cheese,\ne858,2011/04/16,breakfast,cereals,\ne859,2011/04/16,dinner,indian food,\"Jackson, Benjamin, Willow, Avery\"\ne863,2011/04/18,dinner,sushi,\ne865,2011/04/20,breakfast,oatmeal,Willow\ne874,2011/04/28,lunch,tacos,\"Emily, Kayden\"\ne875,2011/04/29,dinner,fish and chips,\"Benjamin, Avery\"\ne878,2011/04/30,lunch,sandwich,\"Andrew, Kayden\"\ne879,2011/04/30,dinner,steak,\"Kayden, Andrew, Emily, Carter\"\ne883,2011/05/02,breakfast,peanut-butter-jam,\"Andrew, Carter\"\ne884,2011/05/02,dinner,pasta,Willow\ne889,2011/05/04,dinner,indian food,\"Carter, Kayden, Emily, Andrew\"\ne892,2011/05/07,lunch,steak,\"Piper, Nora, Rylee, Layla, Avery, Kinsley, Nevaeh, Eva, Piper, Hazel\"\ne893,2011/05/10,lunch,a burger,\"Kayden, Andrew, Emily\"\ne896,2011/05/12,lunch,steak,\"Layla, Piper, Olivia\"\ne898,2011/05/14,lunch,a burger,\ne899,2011/05/16,lunch,fish and chips,\ne900,2011/05/16,dinner,steak,\"Andrew, Carter, Emily, Kayden\"\ne902,2011/05/17,breakfast,peanut-butter-jam,\ne903,2011/05/18,breakfast,peanut-butter-jam,\ne904,2011/05/18,dinner,tacos,\ne905,2011/05/19,dinner,indian food,\"Carter, Andrew\"\ne906,2011/05/20,breakfast,toast and cheese,\"Andrew, Emily\"\ne911,2011/05/25,breakfast,peanut-butter-jam,Jackson\ne915,2011/05/27,breakfast,peanut-butter-jam,\ne920,2011/06/02,dinner,sandwich,Carter\ne922,2011/06/03,lunch,sandwich,\ne924,2011/06/05,breakfast,toast and cheese,Emily\ne925,2011/06/05,lunch,indian food,\ne928,2011/06/06,lunch,fish and chips,\ne931,2011/06/07,dinner,a burger,\"Kayden, Emily, Carter\"\ne935,2011/06/09,lunch,steak,\"Benjamin, Avery, Willow\"\ne936,2011/06/09,dinner,chinese food,\ne938,2011/06/10,lunch,fish and chips,\ne942,2011/06/14,dinner,sushi,\"Jackson, Avery\"\ne946,2011/06/15,dinner,steak,\ne960,2011/06/23,dinner,steak,\ne961,2011/06/24,lunch,pasta,\ne962,2011/06/24,dinner,pasta,\"Willow, Avery\"\ne963,2011/06/25,dinner,indian food,\"Emily, Carter\"\ne970,2011/06/30,breakfast,toast and cheese,\ne972,2011/07/02,lunch,steak,\ne973,2011/07/02,dinner,tacos,\"Avery, Jackson, Benjamin, Willow\"\ne975,2011/07/03,dinner,steak,Emily\ne977,2011/07/05,dinner,sandwich,\ne979,2011/07/07,breakfast,peanut-butter-jam,\ne980,2011/07/07,dinner,a burger,\ne984,2011/07/09,breakfast,cereals,\ne987,2011/07/10,breakfast,pancakes,Emily\ne988,2011/07/10,dinner,sushi,\"Emily, Kayden, Carter\"\ne989,2011/07/11,lunch,steak,\ne991,2011/07/12,lunch,a burger,\ne992,2011/07/12,dinner,a burger,\ne996,2011/07/16,dinner,sandwich,Carter\ne1001,2011/07/21,lunch,a burger,\ne1004,2011/07/22,dinner,steak,\ne1006,2011/07/23,lunch,a burger,\ne1007,2011/07/23,dinner,chinese food,\"Avery, Jackson, Benjamin\"\ne1008,2011/07/25,breakfast,\"eggs, sausages, and bread\",\ne1010,2011/07/26,lunch,indian food,\"Jackson, Avery\"\ne1012,2011/07/29,breakfast,cereals,\ne1017,2011/08/01,breakfast,oatmeal,Rylee\ne1019,2011/08/02,lunch,tacos,\"Emily, Andrew, Kayden, Carter\"\ne1020,2011/08/03,breakfast,oatmeal,\"Carter, Kayden, Andrew, Emily\"\ne1022,2011/08/04,lunch,sandwich,\ne1023,2011/08/04,dinner,a burger,\ne1026,2011/08/06,breakfast,toast and cheese,\ne1031,2011/08/10,breakfast,peanut-butter-jam,\ne1033,2011/08/12,lunch,steak,\ne1034,2011/08/13,dinner,tacos,Emily\ne1036,2011/08/14,breakfast,toast and cheese,\"Kayden, Andrew, Carter, Emily\"\ne1038,2011/08/15,lunch,indian food,\"Andrew, Emily, Kayden\"\ne1040,2011/08/16,dinner,sushi,\ne1041,2011/08/17,breakfast,pancakes,\"Andrew, Carter, Emily\"\ne1042,2011/08/18,dinner,chinese food,\"Andrew, Carter, Kayden\"\ne1045,2011/08/20,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew, Emily, Carter\"\ne1046,2011/08/20,lunch,chinese food,\ne1048,2011/08/22,breakfast,toast and cheese,\ne1050,2011/08/23,breakfast,oatmeal,\ne1053,2011/08/25,dinner,fish and chips,Claire\ne1054,2011/08/26,breakfast,toast and cheese,\ne1055,2011/08/26,lunch,a burger,\ne1058,2011/08/27,lunch,chinese food,\ne1060,2011/08/28,dinner,indian food,\ne1062,2011/08/30,dinner,chinese food,\ne1063,2011/08/31,dinner,steak,\ne1065,2011/09/01,dinner,sandwich,\ne1072,2011/09/08,lunch,sushi,\"Claire, Hazel, Eva, Piper, Rylee, Piper, Lydia, Kinsley, Layla, Nevaeh, Olivia, Nora, Avery\"\ne1073,2011/09/08,dinner,pasta,\"Jackson, Benjamin\"\ne1077,2011/09/10,breakfast,cereals,\"Willow, Avery\"\ne1081,2011/09/13,breakfast,peanut-butter-jam,\ne1082,2011/09/13,lunch,a burger,\"Hazel, Nevaeh, Lydia, Nora, Eva, Claire, Layla, Rylee, Piper, Kinsley, Olivia, Avery\"\ne1088,2011/09/17,breakfast,toast and cheese,\ne1089,2011/09/18,breakfast,peanut-butter-jam,\ne1090,2011/09/18,dinner,tacos,Andrew\ne1097,2011/09/22,breakfast,cereals,\"Carter, Kayden\"\ne1099,2011/09/23,lunch,chinese food,\ne1101,2011/09/24,breakfast,toast and cheese,\ne1102,2011/09/24,dinner,indian food,\ne1103,2011/09/25,breakfast,toast and cheese,\ne1106,2011/09/26,breakfast,\"eggs, sausages, and bread\",\ne1109,2011/09/28,breakfast,oatmeal,\ne1113,2011/10/01,breakfast,peanut-butter-jam,\"Andrew, Emily, Kayden\"\ne1114,2011/10/01,dinner,tacos,\ne1120,2011/10/04,breakfast,peanut-butter-jam,\ne1122,2011/10/06,lunch,sushi,\ne1124,2011/10/10,breakfast,pancakes,\ne1125,2011/10/10,lunch,a burger,\ne1127,2011/10/11,lunch,indian food,\ne1129,2011/10/12,breakfast,toast and cheese,\ne1130,2011/10/12,dinner,chinese food,Layla\ne1134,2011/10/15,dinner,a burger,\"Kayden, Emily, Andrew, Carter\"\ne1135,2011/10/16,breakfast,toast and cheese,\ne1136,2011/10/17,lunch,sushi,\"Piper, Layla, Nevaeh, Olivia, Eva, Nora\"\ne1144,2011/10/21,breakfast,toast and cheese,\ne1149,2011/10/24,breakfast,oatmeal,\ne1150,2011/10/24,dinner,pasta,\ne1165,2011/11/11,breakfast,toast and cheese,\ne1168,2011/11/14,lunch,tacos,\ne1169,2011/11/14,dinner,sandwich,\ne1174,2011/11/18,dinner,indian food,\ne1176,2011/11/22,breakfast,\"eggs, sausages, and bread\",\ne1177,2011/11/22,lunch,chinese food,\ne1178,2011/11/22,dinner,sushi,\ne1179,2011/11/24,lunch,sushi,\ne1181,2011/11/25,lunch,fish and chips,\"Avery, Willow\"\ne1183,2011/11/28,breakfast,oatmeal,\ne1184,2011/11/29,dinner,tacos,\ne1188,2011/12/01,dinner,a burger,\ne1192,2011/12/04,breakfast,cereals,\ne1193,2011/12/04,dinner,sandwich,\"Andrew, Emily, Kayden, Carter\"\ne1195,2011/12/05,dinner,sandwich,\ne1197,2011/12/06,lunch,chinese food,\ne1208,2011/12/14,breakfast,toast and cheese,\ne1209,2011/12/14,dinner,tacos,\ne1212,2011/12/18,dinner,indian food,\"Emily, Kayden, Carter, Andrew\"\ne1217,2011/12/22,dinner,chinese food,\ne1222,2011/12/25,dinner,sushi,\ne1225,2011/12/29,breakfast,toast and cheese,\"Emily, Kayden\"\ne1229,2011/12/31,breakfast,\"eggs, sausages, and bread\",\ne1318,2012/01/05,dinner,sushi,\ne1319,2012/01/06,breakfast,oatmeal,\ne1320,2012/01/06,lunch,sandwich,\ne1321,2012/01/08,lunch,tacos,\ne1324,2012/01/11,breakfast,toast and cheese,\ne1325,2012/01/12,breakfast,cereals,\ne1327,2012/01/14,dinner,sandwich,\ne1329,2012/01/15,lunch,sushi,\ne1330,2012/01/16,lunch,chinese food,\ne1331,2012/01/17,dinner,sandwich,Rylee\ne1332,2012/01/19,dinner,sandwich,\ne1334,2012/01/23,dinner,sushi,\ne1339,2012/01/26,lunch,indian food,\ne1340,2012/01/27,breakfast,oatmeal,\ne1342,2012/01/28,lunch,steak,\"Lydia, Nora, Piper, Rylee, Kinsley, Hazel, Layla\"\ne1343,2012/01/31,breakfast,oatmeal,\ne1346,2012/02/02,dinner,tacos,\"Avery, Benjamin, Willow, Jackson\"\ne1352,2012/02/07,lunch,fish and chips,Emily\ne1355,2012/02/09,lunch,indian food,\ne1357,2012/02/10,breakfast,peanut-butter-jam,\"Layla, Rylee, Lydia\"\ne1358,2012/02/10,lunch,fish and chips,\ne1361,2012/02/12,breakfast,oatmeal,\"Benjamin, Avery, Willow, Jackson\"\ne1363,2012/02/13,lunch,indian food,\ne1368,2012/02/16,breakfast,\"eggs, sausages, and bread\",\ne1369,2012/02/16,dinner,sandwich,Emily\ne1371,2012/02/17,breakfast,oatmeal,\"Benjamin, Avery\"\ne1372,2012/02/17,dinner,steak,\ne1374,2012/02/18,lunch,sushi,\"Benjamin, Avery\"\ne1375,2012/02/21,lunch,pasta,\ne1376,2012/02/21,dinner,pasta,Nora\ne1377,2012/02/23,lunch,tacos,\ne1380,2012/02/26,lunch,a burger,Carter\ne1383,2012/03/03,lunch,indian food,\ne1386,2012/03/05,lunch,sandwich,\ne1387,2012/03/05,dinner,pasta,\"Claire, Nevaeh, Piper, Hazel, Lydia, Rylee, Kinsley, Avery, Olivia, Nora, Layla\"\ne1389,2012/03/06,dinner,sandwich,\"Piper, Olivia, Eva, Rylee, Nora, Layla, Nevaeh, Hazel, Claire\"\ne1391,2012/03/07,lunch,sushi,\ne1394,2012/03/09,lunch,sushi,\ne1395,2012/03/10,dinner,chinese food,\ne1397,2012/03/12,breakfast,peanut-butter-jam,\"Olivia, Rylee, Piper\"\ne1398,2012/03/12,lunch,steak,\ne1400,2012/03/13,lunch,a burger,Eva\ne1406,2012/03/17,breakfast,\"eggs, sausages, and bread\",\ne1409,2012/03/19,dinner,a burger,\ne1414,2012/03/22,dinner,chinese food,\ne1417,2012/03/23,lunch,sushi,\ne1418,2012/03/24,dinner,indian food,\ne1420,2012/03/26,dinner,chinese food,\ne1422,2012/03/28,lunch,sandwich,Emily\ne1423,2012/03/29,lunch,tacos,\"Andrew, Emily\"\ne1424,2012/03/29,dinner,chinese food,\ne1425,2012/03/30,breakfast,\"eggs, sausages, and bread\",\ne1428,2012/04/03,dinner,indian food,\"Andrew, Kayden, Carter, Emily\"\ne1430,2012/04/04,lunch,fish and chips,\"Kayden, Carter, Andrew\"\ne1431,2012/04/07,lunch,steak,\"Andrew, Kayden, Emily, Carter\"\ne1432,2012/04/08,dinner,indian food,\ne1433,2012/04/09,breakfast,pancakes,\"Benjamin, Willow, Jackson, Avery\"\ne1437,2012/04/10,lunch,chinese food,Emily\ne1439,2012/04/11,lunch,indian food,\ne1443,2012/04/13,dinner,sushi,\ne1445,2012/04/14,lunch,sushi,\ne1450,2012/04/19,lunch,fish and chips,\ne1451,2012/04/19,dinner,steak,\"Piper, Olivia, Kinsley, Nora, Lydia, Avery, Hazel, Rylee\"\ne1453,2012/04/20,dinner,indian food,\ne1454,2012/04/21,breakfast,cereals,\ne1455,2012/04/21,dinner,a burger,\ne1456,2012/04/22,dinner,sushi,\ne1459,2012/04/24,lunch,fish and chips,\ne1460,2012/04/24,dinner,sandwich,Kayden\ne1467,2012/04/28,breakfast,toast and cheese,\ne1469,2012/04/29,dinner,a burger,\ne1471,2012/05/01,breakfast,pancakes,\ne1473,2012/05/04,breakfast,oatmeal,\ne1474,2012/05/04,lunch,chinese food,Benjamin\ne1475,2012/05/04,dinner,sushi,\"Andrew, Carter, Emily\"\ne1478,2012/05/06,breakfast,toast and cheese,\"Avery, Jackson\"\ne1482,2012/05/08,lunch,pasta,\"Olivia, Hazel, Piper, Claire, Kinsley, Lydia, Nora, Piper, Layla, Rylee, Nevaeh, Eva, Avery\"\ne1483,2012/05/09,breakfast,pancakes,\ne1486,2012/05/13,breakfast,pancakes,\"Jackson, Willow, Avery\"\ne1487,2012/05/13,dinner,tacos,\"Hazel, Piper\"\ne1488,2012/05/14,lunch,chinese food,\ne1489,2012/05/14,dinner,sandwich,\ne1490,2012/05/15,lunch,fish and chips,\ne1495,2012/05/18,lunch,sandwich,\ne1496,2012/05/18,dinner,indian food,\ne1497,2012/05/19,lunch,a burger,\ne1498,2012/05/19,dinner,indian food,\"Rylee, Avery, Nevaeh\"\ne1505,2012/05/24,breakfast,\"eggs, sausages, and bread\",\"Rylee, Kinsley, Layla, Avery, Lydia, Eva\"\ne1508,2012/05/26,dinner,chinese food,\ne1515,2012/05/29,breakfast,pancakes,\ne1516,2012/05/30,breakfast,peanut-butter-jam,\ne1520,2012/06/02,breakfast,toast and cheese,\ne1521,2012/06/03,breakfast,pancakes,\"Avery, Jackson, Benjamin\"\ne1525,2012/06/05,lunch,tacos,\"Olivia, Lydia, Kinsley, Nora, Nevaeh\"\ne1526,2012/06/06,breakfast,\"eggs, sausages, and bread\",Willow\ne1527,2012/06/06,lunch,a burger,\ne1528,2012/06/07,breakfast,oatmeal,\ne1531,2012/06/09,lunch,tacos,\"Olivia, Eva, Claire\"\ne1532,2012/06/09,dinner,steak,\ne1534,2012/06/10,dinner,sandwich,\ne1543,2012/06/16,lunch,fish and chips,\ne1546,2012/06/19,breakfast,peanut-butter-jam,Kayden\ne1550,2012/06/21,dinner,fish and chips,\"Kayden, Andrew\"\ne1552,2012/06/22,dinner,a burger,\"Kayden, Andrew, Emily\"\ne1562,2012/06/28,lunch,sushi,\ne1565,2012/06/30,lunch,steak,\"Benjamin, Willow, Avery, Jackson\"\ne1568,2012/07/01,lunch,fish and chips,\ne1571,2012/07/02,dinner,sandwich,\"Hazel, Rylee, Avery\"\ne1574,2012/07/04,lunch,sandwich,\ne1577,2012/07/07,breakfast,toast and cheese,\ne1578,2012/07/08,dinner,steak,Benjamin\ne1579,2012/07/09,lunch,indian food,\"Eva, Kinsley, Lydia, Nevaeh\"\ne1580,2012/07/09,dinner,steak,\"Kayden, Andrew, Emily, Carter\"\ne1582,2012/07/10,breakfast,toast and cheese,\ne1588,2012/07/14,dinner,indian food,\ne1591,2012/07/16,breakfast,oatmeal,\ne1593,2012/07/18,lunch,fish and chips,\ne1594,2012/07/20,dinner,a burger,\ne1595,2012/07/22,breakfast,\"eggs, sausages, and bread\",Emily\ne1599,2012/07/25,breakfast,pancakes,\"Kayden, Andrew, Emily\"\ne1603,2012/07/27,breakfast,\"eggs, sausages, and bread\",\ne1605,2012/07/28,breakfast,cereals,\ne1609,2012/07/31,dinner,fish and chips,\ne1611,2012/08/02,lunch,indian food,\ne1615,2012/08/05,lunch,fish and chips,\ne1621,2012/08/09,breakfast,pancakes,\"Jackson, Willow, Avery\"\ne1623,2012/08/10,lunch,steak,\ne1629,2012/08/14,lunch,indian food,\ne1630,2012/08/14,dinner,indian food,\ne1633,2012/08/15,breakfast,oatmeal,\"Eva, Rylee, Piper, Hazel, Piper, Nora, Olivia, Kinsley\"\ne1634,2012/08/15,dinner,steak,\"Claire, Piper, Eva, Rylee, Lydia, Olivia, Nevaeh, Hazel, Piper, Kinsley, Nora, Avery\"\ne1639,2012/08/19,dinner,pasta,\"Jackson, Avery\"\ne1642,2012/08/21,lunch,chinese food,\ne1644,2012/08/23,breakfast,\"eggs, sausages, and bread\",\ne1645,2012/08/23,dinner,sushi,\"Avery, Nevaeh, Claire, Lydia, Nora, Piper, Eva, Kinsley, Rylee, Layla, Olivia, Piper\"\ne1648,2012/08/25,lunch,tacos,\ne1652,2012/08/28,lunch,chinese food,\ne1655,2012/08/31,dinner,sandwich,\ne1656,2012/09/01,dinner,indian food,\"Claire, Rylee, Piper, Eva, Hazel, Lydia\"\ne1660,2012/09/04,breakfast,toast and cheese,\"Carter, Kayden, Andrew, Emily\"\ne1661,2012/09/04,dinner,sushi,\ne1662,2012/09/06,breakfast,pancakes,\"Claire, Lydia, Nevaeh, Piper, Kinsley, Avery, Piper\"\ne1665,2012/09/08,breakfast,oatmeal,\"Avery, Willow\"\ne1667,2012/09/09,dinner,indian food,\ne1668,2012/09/10,dinner,pasta,\ne1672,2012/09/11,dinner,tacos,\ne1674,2012/09/12,dinner,fish and chips,\ne1676,2012/09/13,breakfast,toast and cheese,\ne1683,2012/09/19,dinner,sushi,\ne1684,2012/09/20,breakfast,pancakes,\"Piper, Claire, Olivia, Nevaeh, Rylee, Hazel, Piper, Eva\"\ne1685,2012/09/20,dinner,steak,\"Jackson, Benjamin\"\ne1689,2012/09/23,breakfast,oatmeal,\"Andrew, Carter, Kayden\"\ne1691,2012/09/24,dinner,sushi,\ne1693,2012/09/25,lunch,fish and chips,\"Nora, Hazel, Piper, Layla, Eva, Nevaeh, Rylee, Lydia\"\ne1694,2012/09/25,dinner,a burger,\ne1699,2012/09/27,dinner,chinese food,Nevaeh\ne1701,2012/09/28,lunch,sandwich,\"Kinsley, Claire, Piper, Eva, Olivia, Piper\"\ne1702,2012/09/28,dinner,indian food,\ne1705,2012/09/29,breakfast,oatmeal,\ne1706,2012/09/29,dinner,sandwich,\ne1709,2012/09/30,breakfast,oatmeal,\"Benjamin, Avery, Jackson\"\ne1710,2012/09/30,lunch,sushi,\ne1716,2012/10/03,lunch,pasta,\ne1720,2012/10/04,lunch,tacos,\ne1724,2012/10/07,lunch,tacos,Andrew\ne1727,2012/10/08,breakfast,\"eggs, sausages, and bread\",Emily\ne1730,2012/10/09,dinner,steak,\"Benjamin, Jackson\"\ne1735,2012/10/11,dinner,tacos,\ne1741,2012/10/13,dinner,a burger,\ne1744,2012/10/16,lunch,indian food,\ne1747,2012/10/18,dinner,pasta,Kayden\ne1750,2012/10/19,dinner,pasta,\ne1753,2012/10/25,breakfast,peanut-butter-jam,\ne1756,2012/10/27,breakfast,\"eggs, sausages, and bread\",\"Olivia, Piper, Rylee\"\ne1758,2012/10/28,breakfast,\"eggs, sausages, and bread\",Avery\ne1759,2012/10/29,dinner,sandwich,\ne1761,2012/10/30,breakfast,peanut-butter-jam,\ne1762,2012/10/30,lunch,pasta,\ne1764,2012/10/31,breakfast,pancakes,\ne1765,2012/11/01,dinner,pasta,\ne1768,2012/11/02,breakfast,\"eggs, sausages, and bread\",\ne1770,2012/11/04,lunch,sandwich,\"Benjamin, Jackson, Willow\"\ne1773,2012/11/05,dinner,sushi,\ne1777,2012/11/07,breakfast,peanut-butter-jam,\ne1778,2012/11/07,lunch,indian food,\ne1781,2012/11/08,lunch,pasta,\ne1782,2012/11/09,breakfast,peanut-butter-jam,\ne1783,2012/11/10,dinner,sushi,\"Piper, Nora, Rylee, Layla, Claire, Avery, Nevaeh, Hazel, Piper, Lydia, Kinsley\"\ne1785,2012/11/12,breakfast,cereals,\"Kayden, Andrew, Carter\"\ne1789,2012/11/14,breakfast,pancakes,\ne1792,2012/11/15,dinner,tacos,\ne1793,2012/11/16,breakfast,oatmeal,\"Claire, Hazel, Lydia\"\ne1796,2012/11/17,breakfast,peanut-butter-jam,\ne1797,2012/11/17,dinner,indian food,\ne1799,2012/11/22,lunch,pasta,\"Kinsley, Olivia, Nora, Piper\"\ne1802,2012/11/24,breakfast,toast and cheese,Avery\ne1803,2012/11/24,dinner,tacos,\ne1806,2012/11/26,lunch,fish and chips,\ne1808,2012/11/27,breakfast,toast and cheese,\"Willow, Jackson, Avery, Benjamin\"\ne1809,2012/11/28,lunch,sandwich,\"Kayden, Emily\"\ne1812,2012/11/29,lunch,a burger,\ne1816,2012/12/01,dinner,tacos,\"Willow, Jackson\"\ne1819,2012/12/05,breakfast,cereals,\ne1820,2012/12/06,lunch,sushi,\"Benjamin, Willow, Avery\"\ne1821,2012/12/06,dinner,pasta,\ne1824,2012/12/09,breakfast,pancakes,\ne1828,2012/12/11,dinner,tacos,Andrew\ne1832,2012/12/13,breakfast,toast and cheese,\ne1833,2012/12/14,dinner,pasta,\ne1835,2012/12/15,breakfast,oatmeal,Claire\ne1836,2012/12/15,lunch,steak,\ne1837,2012/12/15,dinner,tacos,\ne1840,2012/12/16,lunch,tacos,\"Emily, Andrew, Kayden, Carter\"\ne1844,2012/12/18,breakfast,pancakes,\"Kayden, Emily, Andrew\"\ne1852,2012/12/24,dinner,indian food,Andrew\ne1854,2012/12/26,lunch,fish and chips,Avery\ne1855,2012/12/27,breakfast,toast and cheese,Willow\ne1859,2012/12/29,dinner,indian food,\ne1862,2012/12/30,breakfast,peanut-butter-jam,Benjamin\ne1865,2012/12/31,breakfast,toast and cheese,\ne1866,2012/12/31,dinner,tacos,Emily\ne1951,2013/01/01,lunch,sushi,\ne1955,2013/01/03,dinner,indian food,\ne1957,2013/01/05,dinner,tacos,\"Kayden, Carter, Andrew, Emily\"\ne1962,2013/01/09,lunch,steak,\ne1967,2013/01/11,lunch,indian food,\ne1970,2013/01/12,dinner,pasta,\"Kayden, Andrew, Emily\"\ne1976,2013/01/14,dinner,chinese food,\"Piper, Rylee, Olivia\"\ne1979,2013/01/15,breakfast,\"eggs, sausages, and bread\",\ne1980,2013/01/15,lunch,a burger,\"Emily, Kayden, Carter\"\ne1983,2013/01/17,lunch,pasta,\ne1985,2013/01/18,breakfast,oatmeal,\"Andrew, Emily, Kayden\"\ne1986,2013/01/19,lunch,steak,\"Claire, Eva, Piper, Lydia, Layla, Kinsley, Hazel, Avery, Nevaeh\"\ne1987,2013/01/22,dinner,steak,\ne1990,2013/01/25,lunch,sandwich,\ne1992,2013/01/28,breakfast,pancakes,\ne1994,2013/01/30,dinner,fish and chips,\ne1999,2013/02/01,dinner,sandwich,\"Andrew, Kayden\"\ne2000,2013/02/02,lunch,fish and chips,\ne2001,2013/02/02,dinner,pasta,\"Eva, Avery, Olivia\"\ne2002,2013/02/03,lunch,sandwich,\"Jackson, Benjamin\"\ne2004,2013/02/05,lunch,pasta,\ne2007,2013/02/08,dinner,pasta,\"Benjamin, Jackson, Avery\"\ne2008,2013/02/09,lunch,steak,\ne2010,2013/02/14,dinner,chinese food,\ne2012,2013/02/17,lunch,a burger,\"Piper, Kinsley\"\ne2015,2013/02/19,breakfast,pancakes,Avery\ne2016,2013/02/19,dinner,chinese food,\"Carter, Andrew\"\ne2024,2013/02/26,dinner,pasta,\ne2026,2013/02/27,breakfast,pancakes,\"Claire, Eva, Olivia, Piper, Hazel, Lydia, Rylee, Kinsley\"\ne2028,2013/02/28,breakfast,pancakes,\ne2032,2013/03/03,lunch,steak,\ne2036,2013/03/07,breakfast,\"eggs, sausages, and bread\",\ne2037,2013/03/08,dinner,chinese food,\ne2038,2013/03/09,breakfast,pancakes,\ne2039,2013/03/09,dinner,a burger,\ne2047,2013/03/14,dinner,fish and chips,\"Willow, Benjamin, Avery, Jackson\"\ne2049,2013/03/15,breakfast,cereals,\"Carter, Emily, Kayden\"\ne2050,2013/03/15,dinner,sushi,\ne2052,2013/03/16,dinner,sandwich,\ne2055,2013/03/18,dinner,sandwich,\"Piper, Claire, Hazel, Nora, Kinsley, Eva, Rylee, Olivia, Lydia, Layla, Nevaeh, Avery, Piper\"\ne2059,2013/03/20,lunch,sushi,\ne2060,2013/03/20,dinner,sushi,\ne2061,2013/03/21,lunch,fish and chips,\"Emily, Kayden\"\ne2063,2013/03/22,breakfast,cereals,\"Olivia, Piper, Claire, Lydia, Eva, Hazel\"\ne2064,2013/03/22,dinner,pasta,\ne2070,2013/03/25,lunch,chinese food,\"Carter, Kayden\"\ne2074,2013/03/26,breakfast,peanut-butter-jam,\ne2075,2013/03/26,lunch,a burger,\ne2078,2013/03/28,dinner,indian food,\"Jackson, Willow, Avery\"\ne2079,2013/03/29,dinner,chinese food,\"Carter, Kayden, Emily\"\ne2088,2013/04/04,dinner,sushi,\ne2091,2013/04/05,dinner,indian food,\ne2092,2013/04/06,breakfast,cereals,\ne2093,2013/04/07,breakfast,peanut-butter-jam,\ne2094,2013/04/07,dinner,a burger,\"Layla, Piper, Nevaeh\"\ne2095,2013/04/08,dinner,pasta,\"Olivia, Layla, Eva, Avery\"\ne2098,2013/04/10,breakfast,peanut-butter-jam,\ne2099,2013/04/10,lunch,pasta,\ne2102,2013/04/12,dinner,indian food,\"Piper, Piper, Kinsley, Hazel, Olivia, Lydia, Rylee, Claire\"\ne2105,2013/04/14,lunch,tacos,\"Jackson, Benjamin, Avery\"\ne2106,2013/04/14,dinner,fish and chips,\ne2107,2013/04/15,dinner,pasta,\"Andrew, Kayden, Emily, Carter\"\ne2111,2013/04/19,lunch,indian food,\"Hazel, Claire, Piper, Avery, Eva, Piper, Layla, Olivia, Kinsley, Rylee\"\ne2114,2013/04/20,breakfast,\"eggs, sausages, and bread\",\ne2115,2013/04/20,lunch,chinese food,Carter\ne2116,2013/04/20,dinner,fish and chips,\ne2123,2013/04/23,breakfast,cereals,\ne2124,2013/04/24,breakfast,\"eggs, sausages, and bread\",\ne2129,2013/04/29,lunch,chinese food,\"Andrew, Kayden, Emily, Carter\"\ne2131,2013/04/30,breakfast,pancakes,\"Layla, Lydia, Nora, Kinsley\"\ne2133,2013/05/01,lunch,indian food,\ne2135,2013/05/02,breakfast,toast and cheese,\ne2136,2013/05/02,dinner,indian food,\ne2139,2013/05/06,lunch,pasta,\"Olivia, Piper, Nevaeh, Claire, Rylee, Hazel\"\ne2141,2013/05/07,breakfast,\"eggs, sausages, and bread\",\"Hazel, Rylee, Avery, Layla, Kinsley, Nevaeh, Piper, Nora\"\ne2142,2013/05/07,lunch,chinese food,\"Jackson, Avery, Benjamin\"\ne2143,2013/05/07,dinner,indian food,\ne2145,2013/05/09,lunch,tacos,\"Carter, Kayden, Andrew\"\ne2147,2013/05/10,breakfast,toast and cheese,\ne2149,2013/05/11,breakfast,toast and cheese,Emily\ne2152,2013/05/12,breakfast,pancakes,\ne2158,2013/05/17,lunch,pasta,\ne2161,2013/05/20,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Andrew\"\ne2164,2013/05/22,breakfast,peanut-butter-jam,\"Kayden, Andrew\"\ne2168,2013/05/25,breakfast,pancakes,\"Carter, Emily\"\ne2169,2013/05/25,dinner,pasta,\ne2173,2013/05/28,breakfast,peanut-butter-jam,\ne2174,2013/05/29,lunch,pasta,\"Olivia, Nora, Kinsley, Piper, Rylee, Layla, Claire, Hazel, Nevaeh, Piper, Eva, Lydia\"\ne2175,2013/05/30,breakfast,cereals,\ne2178,2013/06/01,dinner,indian food,\ne2181,2013/06/03,breakfast,peanut-butter-jam,\ne2182,2013/06/03,lunch,a burger,\"Claire, Piper\"\ne2183,2013/06/05,breakfast,\"eggs, sausages, and bread\",\ne2186,2013/06/06,dinner,chinese food,Eva\ne2191,2013/06/08,breakfast,oatmeal,\ne2193,2013/06/09,lunch,pasta,\ne2197,2013/06/10,breakfast,\"eggs, sausages, and bread\",\"Andrew, Emily, Kayden, Carter\"\ne2198,2013/06/10,dinner,sandwich,\"Andrew, Carter\"\ne2203,2013/06/12,breakfast,toast and cheese,\ne2206,2013/06/14,dinner,tacos,\ne2209,2013/06/15,breakfast,toast and cheese,\ne2211,2013/06/16,breakfast,\"eggs, sausages, and bread\",\ne2212,2013/06/16,lunch,steak,\ne2213,2013/06/16,dinner,sushi,\ne2216,2013/06/17,lunch,sushi,\ne2219,2013/06/18,dinner,fish and chips,\ne2224,2013/06/20,dinner,chinese food,\"Emily, Kayden, Carter, Andrew\"\ne2229,2013/06/24,lunch,tacos,\"Avery, Benjamin\"\ne2237,2013/06/30,dinner,sushi,\ne2239,2013/07/01,breakfast,toast and cheese,\ne2242,2013/07/02,breakfast,cereals,\"Avery, Olivia, Piper, Rylee\"\ne2243,2013/07/02,lunch,pasta,\ne2246,2013/07/03,breakfast,cereals,\ne2247,2013/07/03,dinner,tacos,\"Emily, Kayden\"\ne2251,2013/07/05,breakfast,cereals,\ne2259,2013/07/14,lunch,indian food,\ne2260,2013/07/15,dinner,fish and chips,\ne2267,2013/07/19,breakfast,oatmeal,\ne2270,2013/07/24,lunch,steak,\ne2271,2013/07/24,dinner,sandwich,\ne2278,2013/07/31,lunch,a burger,Benjamin\ne2281,2013/08/01,breakfast,peanut-butter-jam,\ne2282,2013/08/01,lunch,pasta,\ne2283,2013/08/01,dinner,steak,\ne2284,2013/08/02,dinner,tacos,\ne2287,2013/08/03,dinner,steak,\ne2289,2013/08/05,lunch,chinese food,\ne2290,2013/08/05,dinner,chinese food,\"Hazel, Piper, Nevaeh\"\ne2292,2013/08/07,lunch,fish and chips,\ne2295,2013/08/08,dinner,sushi,\ne2302,2013/08/12,dinner,steak,\ne2308,2013/08/16,breakfast,pancakes,\ne2310,2013/08/17,dinner,indian food,Kayden\ne2313,2013/08/20,dinner,tacos,\"Piper, Claire, Layla, Olivia, Hazel, Rylee, Kinsley, Nora, Lydia, Avery\"\ne2315,2013/08/22,breakfast,pancakes,\"Andrew, Kayden\"\ne2316,2013/08/22,lunch,fish and chips,\ne2317,2013/08/24,dinner,sandwich,\ne2326,2013/08/30,lunch,pasta,\ne2331,2013/09/01,breakfast,toast and cheese,\"Kinsley, Nora, Rylee, Layla, Hazel, Olivia, Eva, Avery, Nevaeh, Claire, Lydia\"\ne2333,2013/09/03,dinner,indian food,\ne2337,2013/09/09,dinner,indian food,\ne2338,2013/09/10,dinner,fish and chips,\ne2340,2013/09/11,breakfast,\"eggs, sausages, and bread\",\ne2342,2013/09/12,lunch,pasta,\ne2344,2013/09/13,breakfast,pancakes,\ne2345,2013/09/13,dinner,tacos,\ne2347,2013/09/14,breakfast,peanut-butter-jam,\ne2350,2013/09/15,dinner,steak,\"Carter, Andrew, Kayden, Emily\"\ne2354,2013/09/19,breakfast,toast and cheese,\ne2356,2013/09/20,dinner,chinese food,\ne2358,2013/09/21,lunch,sushi,Avery\ne2359,2013/09/22,lunch,sandwich,Emily\ne2363,2013/09/24,dinner,pasta,\ne2366,2013/09/25,breakfast,peanut-butter-jam,\"Emily, Kayden, Andrew\"\ne2367,2013/09/25,dinner,fish and chips,\ne2370,2013/09/27,lunch,pasta,\"Carter, Emily\"\ne2376,2013/09/29,breakfast,pancakes,\"Eva, Nevaeh, Olivia, Hazel, Piper, Kinsley, Nora, Avery, Claire, Lydia, Piper, Rylee\"\ne2380,2013/10/01,lunch,a burger,\"Lydia, Rylee, Hazel, Piper, Piper, Nora, Claire, Eva, Layla, Avery, Nevaeh, Olivia, Kinsley\"\ne2383,2013/10/02,lunch,sushi,\ne2385,2013/10/03,lunch,pasta,\ne2389,2013/10/06,dinner,a burger,\ne2391,2013/10/08,lunch,pasta,\ne2393,2013/10/09,dinner,pasta,\ne2395,2013/10/12,breakfast,oatmeal,\"Layla, Nora, Rylee, Piper, Kinsley, Eva, Lydia, Avery, Hazel, Olivia\"\ne2398,2013/10/13,dinner,indian food,\ne2399,2013/10/14,dinner,indian food,\ne2402,2013/10/16,breakfast,peanut-butter-jam,\ne2406,2013/10/17,dinner,pasta,\ne2411,2013/10/20,breakfast,\"eggs, sausages, and bread\",\ne2414,2013/10/22,dinner,sushi,Eva\ne2417,2013/10/25,lunch,steak,\ne2421,2013/10/27,lunch,indian food,\ne2425,2013/10/29,lunch,fish and chips,\ne2426,2013/10/30,breakfast,\"eggs, sausages, and bread\",\ne2429,2013/11/01,lunch,pasta,\ne2431,2013/11/02,breakfast,peanut-butter-jam,\ne2432,2013/11/03,lunch,sushi,\ne2433,2013/11/05,dinner,chinese food,\ne2435,2013/11/06,breakfast,pancakes,\ne2436,2013/11/06,lunch,steak,\ne2437,2013/11/06,dinner,steak,Emily\ne2443,2013/11/15,dinner,tacos,\ne2447,2013/11/17,dinner,fish and chips,\"Willow, Jackson, Benjamin\"\ne2452,2013/11/21,lunch,steak,\ne2454,2013/11/23,lunch,tacos,Kayden\ne2455,2013/11/23,dinner,fish and chips,\ne2465,2013/11/30,lunch,steak,\ne2469,2013/12/03,dinner,sushi,\ne2470,2013/12/05,dinner,indian food,\ne2473,2013/12/07,lunch,steak,\ne2475,2013/12/08,breakfast,oatmeal,\ne2477,2013/12/09,lunch,sandwich,\ne2478,2013/12/10,breakfast,toast and cheese,\ne2479,2013/12/10,dinner,indian food,\ne2486,2013/12/15,lunch,indian food,\ne2490,2013/12/19,breakfast,\"eggs, sausages, and bread\",\ne2491,2013/12/19,lunch,sushi,\ne2495,2013/12/22,lunch,tacos,\"Avery, Willow, Benjamin\"\ne2497,2013/12/23,breakfast,toast and cheese,\"Carter, Andrew, Kayden, Emily\"\ne2498,2013/12/23,dinner,pasta,\ne2500,2013/12/27,dinner,fish and chips,\ne2504,2013/12/30,lunch,sandwich,\ne2592,2014/01/01,lunch,chinese food,\"Carter, Kayden, Andrew\"\ne2593,2014/01/01,dinner,pasta,\ne2594,2014/01/02,breakfast,\"eggs, sausages, and bread\",\ne2595,2014/01/02,lunch,chinese food,\ne2596,2014/01/03,lunch,steak,\ne2597,2014/01/03,dinner,pasta,\ne2605,2014/01/07,breakfast,toast and cheese,\ne2609,2014/01/09,lunch,sandwich,\"Emily, Kayden, Andrew, Carter\"\ne2613,2014/01/13,lunch,sushi,\"Andrew, Emily, Carter\"\ne2616,2014/01/15,dinner,indian food,\"Carter, Emily\"\ne2619,2014/01/16,dinner,fish and chips,\ne2621,2014/01/18,dinner,steak,\"Andrew, Emily, Carter\"\ne2623,2014/01/19,lunch,sushi,\"Andrew, Emily, Carter\"\ne2624,2014/01/19,dinner,indian food,\"Olivia, Lydia, Avery, Piper, Piper, Nora, Eva, Layla, Rylee, Kinsley, Hazel, Nevaeh\"\ne2626,2014/01/21,dinner,sushi,\"Layla, Lydia, Eva, Olivia, Avery, Piper\"\ne2628,2014/01/23,lunch,fish and chips,Andrew\ne2631,2014/01/25,breakfast,oatmeal,\"Claire, Nora, Piper, Eva, Rylee, Piper, Lydia, Olivia, Hazel, Kinsley, Avery, Layla\"\ne2633,2014/01/29,lunch,a burger,\ne2634,2014/01/29,dinner,sandwich,\"Jackson, Avery\"\ne2638,2014/02/03,lunch,tacos,\"Kinsley, Eva, Piper, Olivia, Claire, Lydia\"\ne2642,2014/02/04,breakfast,pancakes,\"Benjamin, Avery, Jackson, Willow\"\ne2644,2014/02/06,breakfast,\"eggs, sausages, and bread\",Willow\ne2645,2014/02/06,dinner,fish and chips,\"Nevaeh, Kinsley, Piper, Hazel, Eva, Lydia, Claire, Piper, Avery, Layla, Rylee, Nora\"\ne2651,2014/02/09,dinner,sushi,\ne2654,2014/02/12,dinner,fish and chips,\"Eva, Piper, Nora, Layla, Nevaeh, Rylee, Lydia, Hazel\"\ne2656,2014/02/14,breakfast,pancakes,Piper\ne2658,2014/02/15,lunch,fish and chips,\ne2662,2014/02/18,breakfast,\"eggs, sausages, and bread\",\ne2663,2014/02/18,lunch,sushi,\ne2665,2014/02/20,breakfast,oatmeal,\ne2667,2014/02/21,breakfast,cereals,Carter\ne2668,2014/02/24,lunch,indian food,\ne2669,2014/02/25,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew, Carter\"\ne2670,2014/02/25,dinner,fish and chips,\"Kayden, Carter, Andrew, Emily\"\ne2674,2014/02/27,dinner,sushi,\"Rylee, Kinsley, Piper, Lydia, Piper, Layla, Nevaeh, Claire, Hazel, Olivia, Nora, Eva, Avery\"\ne2681,2014/03/05,breakfast,oatmeal,\"Emily, Carter\"\ne2682,2014/03/06,lunch,fish and chips,\ne2684,2014/03/07,lunch,fish and chips,\ne2685,2014/03/09,breakfast,oatmeal,\ne2692,2014/03/14,breakfast,toast and cheese,\ne2693,2014/03/14,dinner,pasta,\ne2695,2014/03/15,lunch,sandwich,\ne2699,2014/03/16,dinner,sandwich,\"Emily, Kayden\"\ne2703,2014/03/18,lunch,pasta,\ne2706,2014/03/20,breakfast,\"eggs, sausages, and bread\",\ne2708,2014/03/21,lunch,chinese food,\"Andrew, Carter, Emily, Kayden\"\ne2709,2014/03/21,dinner,tacos,\"Andrew, Emily\"\ne2712,2014/03/22,breakfast,toast and cheese,\ne2715,2014/03/24,breakfast,toast and cheese,\"Piper, Nevaeh, Layla, Nora, Eva, Claire, Avery, Olivia\"\ne2718,2014/03/25,lunch,steak,\"Emily, Carter\"\ne2719,2014/03/26,dinner,indian food,\ne2724,2014/03/28,breakfast,peanut-butter-jam,\ne2728,2014/03/30,breakfast,\"eggs, sausages, and bread\",\"Kayden, Andrew, Emily\"\ne2731,2014/03/31,breakfast,toast and cheese,\ne2734,2014/04/01,dinner,fish and chips,\ne2735,2014/04/02,breakfast,toast and cheese,\"Emily, Kayden\"\ne2736,2014/04/02,lunch,sandwich,\"Carter, Andrew, Kayden, Emily\"\ne2739,2014/04/04,lunch,indian food,\ne2741,2014/04/05,breakfast,cereals,\"Kinsley, Nora\"\ne2742,2014/04/06,lunch,tacos,\ne2743,2014/04/06,dinner,pasta,\ne2751,2014/04/10,dinner,tacos,\ne2753,2014/04/11,lunch,chinese food,\ne2759,2014/04/14,dinner,sandwich,Carter\ne2764,2014/04/17,dinner,chinese food,\ne2765,2014/04/18,dinner,fish and chips,\ne2768,2014/04/19,dinner,sandwich,\"Piper, Olivia, Hazel\"\ne2773,2014/04/21,dinner,pasta,\"Carter, Kayden, Andrew, Emily\"\ne2775,2014/04/22,breakfast,cereals,\ne2776,2014/04/23,breakfast,oatmeal,\"Kinsley, Avery, Piper\"\ne2777,2014/04/23,lunch,pasta,\ne2779,2014/04/25,dinner,sandwich,\ne2782,2014/04/26,dinner,pasta,\ne2783,2014/04/27,breakfast,oatmeal,\"Carter, Andrew\"\ne2784,2014/04/29,lunch,sushi,\"Willow, Avery\"\ne2786,2014/04/30,lunch,sandwich,\ne2791,2014/05/03,dinner,pasta,\"Benjamin, Willow, Avery\"\ne2793,2014/05/04,lunch,a burger,\ne2799,2014/05/08,breakfast,cereals,\ne2800,2014/05/09,lunch,sandwich,\"Claire, Nevaeh, Lydia, Eva, Piper, Nora\"\ne2802,2014/05/10,lunch,sushi,\ne2806,2014/05/11,breakfast,peanut-butter-jam,\ne2808,2014/05/12,lunch,pasta,\ne2809,2014/05/13,breakfast,\"eggs, sausages, and bread\",\"Piper, Nevaeh, Eva, Hazel, Avery, Olivia, Kinsley, Lydia\"\ne2811,2014/05/15,lunch,sandwich,\"Emily, Carter\"\ne2815,2014/05/17,breakfast,toast and cheese,\ne2817,2014/05/19,dinner,steak,Benjamin\ne2818,2014/05/20,breakfast,\"eggs, sausages, and bread\",\ne2819,2014/05/21,lunch,tacos,\"Layla, Lydia, Nora, Claire, Piper, Nevaeh, Piper, Avery\"\ne2821,2014/05/22,breakfast,toast and cheese,\"Carter, Kayden, Andrew, Emily\"\ne2823,2014/05/23,breakfast,toast and cheese,\ne2824,2014/05/23,lunch,pasta,\ne2827,2014/05/25,lunch,indian food,\ne2828,2014/05/25,dinner,sandwich,\ne2830,2014/05/26,breakfast,cereals,\ne2831,2014/05/26,lunch,fish and chips,\ne2832,2014/05/26,dinner,a burger,\"Hazel, Eva\"\ne2834,2014/05/27,lunch,a burger,\ne2835,2014/05/29,lunch,pasta,\"Carter, Andrew, Emily\"\ne2838,2014/05/30,lunch,steak,\ne2841,2014/06/01,lunch,steak,\ne2844,2014/06/02,lunch,sandwich,\ne2845,2014/06/02,dinner,fish and chips,\"Andrew, Kayden, Emily\"\ne2851,2014/06/07,lunch,sandwich,\ne2853,2014/06/08,dinner,sandwich,\"Willow, Benjamin, Jackson, Avery\"\ne2855,2014/06/09,lunch,sandwich,\ne2857,2014/06/10,breakfast,\"eggs, sausages, and bread\",\ne2858,2014/06/11,dinner,pasta,\"Kayden, Andrew, Carter\"\ne2859,2014/06/12,dinner,sushi,\ne2863,2014/06/16,lunch,a burger,\"Emily, Carter\"\ne2867,2014/06/18,lunch,fish and chips,\ne2868,2014/06/20,breakfast,cereals,\"Andrew, Kayden, Carter\"\ne2869,2014/06/20,lunch,steak,\ne2871,2014/06/23,dinner,a burger,\"Avery, Willow, Benjamin, Jackson\"\ne2872,2014/06/24,breakfast,cereals,\ne2874,2014/06/26,lunch,indian food,\ne2875,2014/06/26,dinner,tacos,\"Olivia, Piper, Eva, Kinsley, Hazel, Rylee, Nora, Layla, Avery, Nevaeh, Claire, Lydia, Piper\"\ne2879,2014/06/28,dinner,steak,\ne2881,2014/06/30,dinner,chinese food,Kayden\ne2883,2014/07/02,lunch,indian food,\ne2888,2014/07/04,breakfast,oatmeal,\"Emily, Carter\"\ne2890,2014/07/08,lunch,steak,\ne2896,2014/07/12,breakfast,\"eggs, sausages, and bread\",\ne2898,2014/07/14,lunch,chinese food,\ne2900,2014/07/15,dinner,sushi,\ne2902,2014/07/17,lunch,a burger,\ne2904,2014/07/18,dinner,sushi,\ne2905,2014/07/19,lunch,tacos,\ne2906,2014/07/22,breakfast,peanut-butter-jam,\"Piper, Olivia, Claire, Rylee, Kinsley, Eva, Layla, Avery, Lydia, Nevaeh, Piper, Hazel, Nora\"\ne2909,2014/07/23,breakfast,\"eggs, sausages, and bread\",\ne2911,2014/07/24,breakfast,\"eggs, sausages, and bread\",\"Carter, Andrew, Emily\"\ne2912,2014/07/24,dinner,fish and chips,\ne2915,2014/07/30,dinner,fish and chips,\"Carter, Andrew\"\ne2919,2014/08/01,lunch,indian food,\ne2920,2014/08/02,breakfast,toast and cheese,\ne2921,2014/08/02,lunch,steak,\ne2922,2014/08/02,dinner,steak,\ne2923,2014/08/03,breakfast,oatmeal,\ne2930,2014/08/12,breakfast,pancakes,\ne2932,2014/08/13,lunch,fish and chips,\ne2935,2014/08/14,dinner,fish and chips,\"Kayden, Carter, Andrew\"\ne2937,2014/08/15,lunch,chinese food,\ne2939,2014/08/16,lunch,steak,\ne2943,2014/08/19,breakfast,toast and cheese,\ne2945,2014/08/20,dinner,pasta,\ne2948,2014/08/21,breakfast,peanut-butter-jam,\ne2949,2014/08/22,breakfast,peanut-butter-jam,\"Layla, Nevaeh, Lydia\"\ne2952,2014/08/23,dinner,sushi,\"Andrew, Carter\"\ne2956,2014/08/26,dinner,sandwich,\ne2958,2014/08/27,breakfast,toast and cheese,\ne2959,2014/08/27,lunch,steak,\"Jackson, Benjamin\"\ne2962,2014/08/28,lunch,steak,\ne2966,2014/08/31,lunch,tacos,\ne2972,2014/09/03,lunch,steak,\"Avery, Olivia, Layla, Rylee, Lydia, Nevaeh, Hazel, Piper, Piper, Claire, Eva, Nora, Kinsley\"\ne2974,2014/09/05,dinner,tacos,\ne2975,2014/09/06,breakfast,\"eggs, sausages, and bread\",\ne2978,2014/09/08,lunch,chinese food,\"Willow, Avery, Benjamin\"\ne2981,2014/09/09,dinner,steak,\ne2982,2014/09/10,dinner,sandwich,\"Avery, Benjamin\"\ne2985,2014/09/11,breakfast,oatmeal,\ne2986,2014/09/13,breakfast,oatmeal,\"Layla, Piper, Lydia, Nevaeh\"\ne2987,2014/09/13,dinner,tacos,\ne2991,2014/09/15,lunch,steak,\ne3000,2014/09/20,breakfast,\"eggs, sausages, and bread\",\ne3004,2014/09/22,dinner,indian food,\"Emily, Kayden, Carter, Andrew\"\ne3006,2014/09/23,lunch,indian food,\"Andrew, Carter\"\ne3008,2014/09/24,lunch,a burger,\"Claire, Layla, Piper, Avery\"\ne3011,2014/09/26,dinner,fish and chips,\ne3015,2014/09/29,dinner,tacos,\ne3018,2014/10/02,breakfast,peanut-butter-jam,\ne3021,2014/10/05,dinner,tacos,Layla\ne3023,2014/10/06,lunch,sandwich,\ne3025,2014/10/07,dinner,pasta,\ne3026,2014/10/09,breakfast,cereals,\ne3028,2014/10/13,lunch,pasta,\"Avery, Benjamin, Jackson\"\ne3030,2014/10/14,dinner,pasta,Avery\ne3032,2014/10/17,dinner,tacos,Carter\ne3045,2014/10/27,dinner,sandwich,\ne3048,2014/10/28,breakfast,oatmeal,\ne3049,2014/10/28,dinner,steak,\ne3051,2014/10/29,dinner,fish and chips,\ne3054,2014/10/31,dinner,fish and chips,\ne3055,2014/11/01,breakfast,peanut-butter-jam,\ne3056,2014/11/02,breakfast,peanut-butter-jam,\ne3057,2014/11/02,lunch,a burger,\"Nora, Claire, Piper, Layla\"\ne3062,2014/11/06,lunch,fish and chips,\ne3063,2014/11/07,breakfast,\"eggs, sausages, and bread\",\ne3070,2014/11/12,lunch,indian food,\ne3072,2014/11/14,breakfast,peanut-butter-jam,\ne3074,2014/11/15,breakfast,peanut-butter-jam,\ne3075,2014/11/15,lunch,chinese food,\ne3078,2014/11/16,lunch,fish and chips,\ne3082,2014/11/19,breakfast,\"eggs, sausages, and bread\",\ne3083,2014/11/19,dinner,tacos,\ne3087,2014/11/22,breakfast,\"eggs, sausages, and bread\",\ne3097,2014/11/27,breakfast,\"eggs, sausages, and bread\",\ne3098,2014/11/27,dinner,pasta,\ne3099,2014/11/28,dinner,pasta,\ne3104,2014/12/01,lunch,tacos,\ne3109,2014/12/07,dinner,steak,\ne3112,2014/12/10,breakfast,oatmeal,\ne3113,2014/12/10,lunch,sushi,\ne3116,2014/12/11,dinner,chinese food,\ne3117,2014/12/12,breakfast,\"eggs, sausages, and bread\",\ne3119,2014/12/13,lunch,tacos,\"Jackson, Willow\"\ne3122,2014/12/15,breakfast,cereals,\"Nora, Eva, Layla, Piper, Rylee\"\ne3123,2014/12/15,dinner,a burger,\ne3125,2014/12/16,lunch,chinese food,\"Piper, Olivia, Lydia, Eva\"\ne3127,2014/12/17,lunch,indian food,\ne3129,2014/12/18,breakfast,cereals,\ne3131,2014/12/19,breakfast,peanut-butter-jam,\"Emily, Kayden, Andrew, Carter\"\ne3132,2014/12/19,dinner,indian food,\ne3137,2014/12/21,breakfast,toast and cheese,\"Andrew, Carter\"\ne3140,2014/12/23,lunch,tacos,\ne3143,2014/12/25,lunch,steak,\"Carter, Kayden, Emily\"\ne3145,2014/12/26,lunch,steak,\ne3146,2014/12/27,lunch,sushi,\ne3148,2014/12/30,lunch,a burger,\"Andrew, Emily\"\ne3149,2014/12/30,dinner,fish and chips,\"Jackson, Willow, Avery\"\ne3150,2014/12/31,lunch,a burger,\ne3235,2015/01/01,breakfast,peanut-butter-jam,\"Kayden, Carter, Andrew, Emily\"\ne3236,2015/01/02,lunch,fish and chips,\"Andrew, Emily, Kayden\"\ne3237,2015/01/02,dinner,indian food,\"Hazel, Nora\"\ne3241,2015/01/05,lunch,steak,\"Eva, Nevaeh, Lydia, Olivia\"\ne3242,2015/01/06,lunch,indian food,\ne3245,2015/01/07,lunch,tacos,\ne3247,2015/01/08,dinner,a burger,\ne3248,2015/01/10,breakfast,oatmeal,\ne3249,2015/01/10,lunch,steak,\"Willow, Jackson\"\ne3250,2015/01/11,dinner,a burger,\"Carter, Andrew, Kayden, Emily\"\ne3252,2015/01/12,dinner,sushi,\"Benjamin, Jackson\"\ne3260,2015/01/18,breakfast,oatmeal,\ne3268,2015/01/25,lunch,pasta,Olivia\ne3269,2015/01/26,breakfast,toast and cheese,\ne3271,2015/01/28,lunch,a burger,\"Andrew, Carter, Kayden\"\ne3273,2015/01/29,breakfast,toast and cheese,Carter\ne3277,2015/01/31,dinner,steak,\ne3279,2015/02/01,lunch,indian food,\"Kayden, Carter\"\ne3281,2015/02/02,breakfast,oatmeal,\"Kayden, Carter, Emily, Andrew\"\ne3282,2015/02/02,lunch,chinese food,\ne3285,2015/02/03,lunch,indian food,\"Carter, Emily, Kayden\"\ne3286,2015/02/03,dinner,a burger,\ne3288,2015/02/04,breakfast,toast and cheese,\"Nora, Claire, Avery\"\ne3290,2015/02/05,breakfast,\"eggs, sausages, and bread\",\ne3293,2015/02/07,breakfast,oatmeal,\ne3294,2015/02/07,lunch,chinese food,\ne3295,2015/02/08,breakfast,peanut-butter-jam,\"Emily, Kayden\"\ne3299,2015/02/11,lunch,tacos,\ne3301,2015/02/12,dinner,indian food,\ne3303,2015/02/13,dinner,fish and chips,\ne3305,2015/02/14,breakfast,cereals,Jackson\ne3306,2015/02/14,lunch,indian food,\ne3308,2015/02/15,lunch,a burger,\"Hazel, Eva, Lydia, Kinsley, Avery, Layla, Rylee, Piper, Nevaeh, Piper, Nora, Olivia, Claire\"\ne3312,2015/02/18,breakfast,cereals,\"Andrew, Carter\"\ne3313,2015/02/18,lunch,a burger,\ne3314,2015/02/20,dinner,pasta,\ne3315,2015/02/22,breakfast,toast and cheese,\ne3320,2015/02/27,dinner,pasta,\"Avery, Willow, Jackson, Benjamin\"\ne3323,2015/02/28,lunch,chinese food,\ne3325,2015/03/01,lunch,a burger,\"Benjamin, Jackson, Avery, Willow\"\ne3327,2015/03/02,lunch,chinese food,\ne3328,2015/03/03,breakfast,oatmeal,\"Lydia, Rylee\"\ne3329,2015/03/03,dinner,sushi,\ne3331,2015/03/05,breakfast,peanut-butter-jam,\ne3332,2015/03/05,dinner,tacos,\ne3335,2015/03/08,dinner,pasta,\"Hazel, Lydia, Olivia, Piper, Avery, Nevaeh, Layla, Piper, Kinsley, Claire\"\ne3339,2015/03/09,dinner,sandwich,\ne3340,2015/03/10,lunch,steak,\ne3343,2015/03/12,breakfast,peanut-butter-jam,Jackson\ne3349,2015/03/17,breakfast,peanut-butter-jam,\"Avery, Nora, Piper, Lydia\"\ne3350,2015/03/17,lunch,indian food,Nora\ne3351,2015/03/18,dinner,sandwich,\ne3354,2015/03/20,lunch,fish and chips,\ne3358,2015/03/22,dinner,chinese food,\ne3360,2015/03/23,dinner,fish and chips,\"Emily, Kayden, Andrew, Carter\"\ne3363,2015/03/26,dinner,a burger,\ne3364,2015/03/27,breakfast,toast and cheese,\ne3367,2015/03/28,lunch,sandwich,Carter\ne3370,2015/03/30,lunch,fish and chips,\ne3375,2015/04/03,lunch,sandwich,Jackson\ne3378,2015/04/05,lunch,indian food,\"Carter, Kayden, Andrew\"\ne3379,2015/04/05,dinner,sandwich,\"Benjamin, Willow, Avery, Jackson\"\ne3380,2015/04/06,breakfast,peanut-butter-jam,\"Benjamin, Jackson, Avery, Willow\"\ne3382,2015/04/08,breakfast,cereals,\ne3385,2015/04/09,lunch,pasta,\ne3387,2015/04/10,dinner,pasta,\ne3393,2015/04/13,lunch,chinese food,\ne3394,2015/04/13,dinner,chinese food,\"Piper, Lydia, Eva, Nevaeh, Nora, Layla, Rylee, Claire, Hazel, Piper, Olivia, Avery\"\ne3395,2015/04/15,breakfast,peanut-butter-jam,\ne3396,2015/04/15,dinner,chinese food,\"Kinsley, Avery, Eva, Claire, Piper, Rylee, Layla, Nevaeh, Olivia, Lydia, Piper, Hazel\"\ne3398,2015/04/17,lunch,a burger,Willow\ne3400,2015/04/18,lunch,indian food,\"Andrew, Emily, Kayden, Carter\"\ne3403,2015/04/22,dinner,sandwich,\ne3404,2015/04/23,lunch,chinese food,\"Hazel, Nora, Piper, Eva, Olivia, Lydia, Claire, Nevaeh, Piper, Kinsley, Layla\"\ne3410,2015/04/27,lunch,sandwich,\ne3411,2015/04/28,breakfast,pancakes,\ne3413,2015/04/29,dinner,fish and chips,\ne3415,2015/05/01,lunch,a burger,\"Emily, Andrew, Kayden, Carter\"\ne3416,2015/05/02,breakfast,pancakes,\"Piper, Lydia, Avery, Layla, Eva, Hazel, Olivia\"\ne3418,2015/05/04,dinner,sushi,\"Kayden, Emily, Carter, Andrew\"\ne3421,2015/05/05,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Kayden\"\ne3423,2015/05/07,breakfast,peanut-butter-jam,\ne3424,2015/05/07,dinner,sandwich,\ne3426,2015/05/08,lunch,steak,\"Kayden, Carter, Andrew\"\ne3427,2015/05/08,dinner,sandwich,\ne3433,2015/05/14,dinner,tacos,\ne3436,2015/05/17,lunch,steak,\"Avery, Benjamin, Jackson, Willow\"\ne3438,2015/05/18,dinner,pasta,Kayden\ne3446,2015/05/24,breakfast,peanut-butter-jam,\ne3447,2015/05/26,breakfast,\"eggs, sausages, and bread\",\ne3450,2015/05/27,breakfast,cereals,\ne3451,2015/05/27,lunch,sandwich,Avery\ne3455,2015/05/30,lunch,a burger,\"Layla, Eva, Nevaeh, Lydia, Rylee, Avery\"\ne3456,2015/05/31,lunch,steak,\"Kayden, Emily, Andrew, Carter\"\ne3457,2015/06/01,lunch,a burger,\"Claire, Rylee, Eva, Nora, Piper, Avery\"\ne3460,2015/06/04,dinner,sushi,\ne3462,2015/06/05,lunch,fish and chips,\ne3465,2015/06/07,lunch,pasta,\"Carter, Andrew, Kayden, Emily\"\ne3468,2015/06/09,breakfast,oatmeal,\"Emily, Kayden, Carter\"\ne3469,2015/06/10,dinner,chinese food,\ne3471,2015/06/11,dinner,sushi,\ne3474,2015/06/12,lunch,tacos,\ne3476,2015/06/13,breakfast,peanut-butter-jam,\ne3479,2015/06/16,breakfast,oatmeal,\ne3481,2015/06/18,breakfast,oatmeal,\ne3482,2015/06/18,dinner,sandwich,\ne3485,2015/06/22,breakfast,oatmeal,\"Hazel, Rylee, Avery, Nevaeh, Nora\"\ne3487,2015/06/23,dinner,indian food,\"Kayden, Andrew, Carter\"\ne3491,2015/06/25,breakfast,oatmeal,\"Claire, Eva\"\ne3492,2015/06/25,lunch,pasta,\ne3495,2015/06/28,lunch,sushi,\"Benjamin, Jackson, Avery, Willow\"\ne3496,2015/06/28,dinner,tacos,\"Rylee, Olivia\"\ne3498,2015/06/30,dinner,a burger,\"Layla, Piper, Avery, Claire, Hazel, Piper\"\ne3501,2015/07/02,breakfast,\"eggs, sausages, and bread\",\ne3504,2015/07/03,lunch,chinese food,\ne3505,2015/07/04,breakfast,oatmeal,\ne3506,2015/07/05,breakfast,peanut-butter-jam,Kayden\ne3507,2015/07/05,lunch,tacos,\"Nora, Claire, Piper, Eva, Lydia, Avery, Layla\"\ne3510,2015/07/08,breakfast,peanut-butter-jam,\ne3511,2015/07/08,lunch,a burger,\ne3513,2015/07/09,lunch,chinese food,\"Benjamin, Avery\"\ne3516,2015/07/12,dinner,a burger,\ne3518,2015/07/13,lunch,indian food,\ne3521,2015/07/14,lunch,pasta,\ne3522,2015/07/15,dinner,pasta,\"Emily, Carter\"\ne3523,2015/07/16,breakfast,oatmeal,\ne3524,2015/07/16,lunch,sandwich,\"Andrew, Kayden\"\ne3526,2015/07/17,lunch,tacos,\"Emily, Andrew, Carter\"\ne3531,2015/07/20,lunch,tacos,\ne3532,2015/07/22,lunch,sushi,\"Kayden, Emily\"\ne3534,2015/07/23,breakfast,\"eggs, sausages, and bread\",\ne3536,2015/07/25,breakfast,\"eggs, sausages, and bread\",\"Claire, Piper, Nora, Eva\"\ne3537,2015/07/25,dinner,pasta,\ne3542,2015/07/29,lunch,a burger,\ne3545,2015/07/30,lunch,chinese food,\ne3546,2015/07/31,breakfast,pancakes,\ne3548,2015/08/01,breakfast,pancakes,\"Kayden, Emily, Andrew\"\ne3551,2015/08/03,breakfast,toast and cheese,\"Willow, Benjamin, Jackson, Avery\"\ne3552,2015/08/04,breakfast,oatmeal,\ne3553,2015/08/05,lunch,a burger,\"Benjamin, Jackson, Avery\"\ne3555,2015/08/06,lunch,sushi,Emily\ne3557,2015/08/08,lunch,sandwich,\ne3558,2015/08/10,breakfast,pancakes,\ne3560,2015/08/11,breakfast,toast and cheese,\"Claire, Piper, Kinsley, Layla\"\ne3561,2015/08/12,dinner,fish and chips,\ne3562,2015/08/13,dinner,steak,\"Emily, Kayden\"\ne3565,2015/08/15,dinner,chinese food,\"Willow, Benjamin\"\ne3573,2015/08/18,breakfast,cereals,\ne3575,2015/08/19,dinner,a burger,\ne3576,2015/08/20,dinner,tacos,\ne3579,2015/08/21,breakfast,oatmeal,\ne3580,2015/08/21,lunch,pasta,\ne3586,2015/08/24,breakfast,peanut-butter-jam,\"Layla, Nora, Lydia, Avery, Olivia, Piper\"\ne3587,2015/08/24,lunch,sandwich,\ne3589,2015/08/26,dinner,tacos,\ne3592,2015/08/27,breakfast,cereals,\ne3596,2015/09/01,lunch,steak,\ne3598,2015/09/02,lunch,tacos,\"Carter, Emily\"\ne3601,2015/09/04,breakfast,toast and cheese,\ne3602,2015/09/04,dinner,pasta,\ne3604,2015/09/06,breakfast,\"eggs, sausages, and bread\",Kayden\ne3605,2015/09/08,dinner,indian food,\ne3607,2015/09/09,breakfast,\"eggs, sausages, and bread\",\ne3608,2015/09/09,dinner,sandwich,\"Rylee, Olivia\"\ne3610,2015/09/10,breakfast,cereals,\ne3612,2015/09/12,breakfast,cereals,\ne3614,2015/09/14,breakfast,oatmeal,\"Emily, Kayden, Carter, Andrew\"\ne3616,2015/09/17,dinner,chinese food,\ne3617,2015/09/18,lunch,chinese food,\"Layla, Rylee, Eva, Lydia, Claire, Piper, Piper, Nora\"\ne3618,2015/09/19,breakfast,toast and cheese,\"Carter, Andrew, Emily\"\ne3619,2015/09/19,dinner,sushi,\ne3624,2015/09/21,breakfast,oatmeal,\ne3626,2015/09/23,lunch,sandwich,\ne3629,2015/09/24,lunch,tacos,\ne3636,2015/09/29,breakfast,\"eggs, sausages, and bread\",\ne3639,2015/09/30,lunch,sushi,\"Emily, Andrew, Kayden\"\ne3642,2015/10/02,lunch,indian food,\"Olivia, Hazel, Nora, Layla\"\ne3645,2015/10/06,lunch,chinese food,\ne3648,2015/10/07,breakfast,peanut-butter-jam,\ne3649,2015/10/07,lunch,sandwich,\"Piper, Layla, Avery, Eva\"\ne3652,2015/10/10,lunch,a burger,\ne3656,2015/10/15,breakfast,oatmeal,\ne3657,2015/10/15,lunch,tacos,\ne3660,2015/10/16,lunch,pasta,\"Avery, Willow, Jackson\"\ne3661,2015/10/16,dinner,chinese food,\"Andrew, Kayden, Emily, Carter\"\ne3663,2015/10/17,breakfast,toast and cheese,\ne3664,2015/10/17,lunch,a burger,\"Avery, Jackson\"\ne3667,2015/10/18,dinner,steak,\ne3670,2015/10/20,lunch,sushi,\ne3673,2015/10/24,breakfast,\"eggs, sausages, and bread\",\ne3682,2015/10/30,dinner,sushi,\ne3684,2015/11/01,breakfast,\"eggs, sausages, and bread\",\ne3685,2015/11/01,lunch,sandwich,\ne3687,2015/11/03,breakfast,cereals,\"Kayden, Andrew, Emily\"\ne3688,2015/11/03,dinner,pasta,\"Willow, Jackson, Benjamin\"\ne3693,2015/11/06,dinner,fish and chips,\ne3696,2015/11/07,dinner,indian food,\ne3698,2015/11/08,lunch,indian food,\ne3704,2015/11/11,breakfast,cereals,\ne3708,2015/11/14,dinner,pasta,\ne3709,2015/11/15,lunch,steak,\"Eva, Rylee, Layla, Hazel\"\ne3711,2015/11/16,lunch,indian food,\ne3714,2015/11/18,breakfast,pancakes,\"Andrew, Kayden, Emily\"\ne3715,2015/11/19,lunch,fish and chips,\"Andrew, Emily, Kayden\"\ne3716,2015/11/20,lunch,chinese food,Claire\ne3717,2015/11/20,dinner,chinese food,\ne3719,2015/11/21,breakfast,peanut-butter-jam,\ne3723,2015/11/24,lunch,sandwich,\"Emily, Kayden, Carter\"\ne3724,2015/11/24,dinner,tacos,Kayden\ne3730,2015/11/28,lunch,steak,Willow\ne3733,2015/11/29,breakfast,oatmeal,\ne3735,2015/12/01,breakfast,\"eggs, sausages, and bread\",\"Rylee, Claire, Nora, Lydia, Nevaeh, Hazel, Layla, Kinsley, Eva, Olivia, Avery\"\ne3738,2015/12/02,breakfast,pancakes,\"Claire, Layla\"\ne3739,2015/12/02,lunch,a burger,\ne3741,2015/12/03,dinner,chinese food,Nevaeh\ne3744,2015/12/04,breakfast,oatmeal,\ne3745,2015/12/04,dinner,pasta,\ne3746,2015/12/05,breakfast,cereals,\"Benjamin, Willow\"\ne3747,2015/12/05,lunch,a burger,\ne3752,2015/12/07,lunch,tacos,Andrew\ne3755,2015/12/08,breakfast,oatmeal,\ne3757,2015/12/09,lunch,pasta,Rylee\ne3759,2015/12/10,breakfast,toast and cheese,\ne3761,2015/12/11,lunch,indian food,Nevaeh\ne3762,2015/12/11,dinner,fish and chips,\ne3764,2015/12/12,lunch,fish and chips,\ne3766,2015/12/14,lunch,fish and chips,\ne3767,2015/12/15,breakfast,\"eggs, sausages, and bread\",\ne3768,2015/12/15,lunch,a burger,\"Avery, Willow\"\ne3770,2015/12/16,breakfast,cereals,\"Jackson, Willow\"\ne3772,2015/12/18,lunch,sandwich,\ne3775,2015/12/19,lunch,fish and chips,\ne3776,2015/12/20,dinner,indian food,\"Andrew, Emily, Kayden, Carter\"\ne3781,2015/12/23,dinner,a burger,\ne3783,2015/12/24,breakfast,toast and cheese,Carter\ne3788,2015/12/26,breakfast,\"eggs, sausages, and bread\",\"Kayden, Emily, Andrew, Carter\"\ne3789,2015/12/26,dinner,chinese food,\ne3791,2015/12/27,breakfast,toast and cheese,\"Avery, Jackson, Willow, Benjamin\"\ne3792,2015/12/27,lunch,fish and chips,\ne3793,2015/12/27,dinner,chinese food,Avery\ne3794,2015/12/28,lunch,sandwich,\ne3799,2015/12/30,dinner,a burger,\ne3803,2015/12/31,breakfast,peanut-butter-jam,\ne3908,2016/01/01,lunch,sushi,\ne3910,2016/01/05,lunch,steak,\"Andrew, Kayden, Carter\"\ne3915,2016/01/07,dinner,indian food,\"Andrew, Carter\"\ne3919,2016/01/09,breakfast,cereals,\ne3921,2016/01/10,lunch,sushi,\"Piper, Kinsley, Lydia, Eva, Claire, Rylee, Hazel, Avery, Piper, Layla, Nevaeh, Nora, Olivia\"\ne3926,2016/01/12,dinner,a burger,\ne3927,2016/01/13,lunch,tacos,\"Emily, Carter, Andrew, Kayden\"\ne3929,2016/01/14,breakfast,cereals,\"Claire, Layla, Hazel, Avery, Lydia, Rylee, Piper, Olivia\"\ne3930,2016/01/14,lunch,sushi,\ne3931,2016/01/14,dinner,a burger,\"Benjamin, Willow, Jackson\"\ne3932,2016/01/15,dinner,sandwich,\"Kinsley, Olivia, Nevaeh, Eva, Layla, Lydia, Rylee, Claire, Hazel, Avery\"\ne3934,2016/01/16,lunch,pasta,\ne3939,2016/01/18,breakfast,pancakes,\ne3944,2016/01/23,dinner,a burger,\"Hazel, Eva, Layla\"\ne3946,2016/01/25,breakfast,oatmeal,Kayden\ne3949,2016/01/26,breakfast,toast and cheese,\ne3950,2016/01/28,dinner,tacos,\ne3955,2016/01/30,breakfast,\"eggs, sausages, and bread\",\"Willow, Jackson\"\ne3956,2016/01/30,lunch,chinese food,\"Lydia, Layla, Claire, Rylee, Nora\"\ne3962,2016/02/02,lunch,steak,\"Carter, Emily, Kayden\"\ne3963,2016/02/02,dinner,steak,\"Piper, Piper, Eva, Claire, Avery\"\ne3965,2016/02/03,breakfast,oatmeal,\"Carter, Kayden, Andrew, Emily\"\ne3969,2016/02/04,breakfast,pancakes,\ne3970,2016/02/04,dinner,sushi,Hazel\ne3974,2016/02/07,dinner,fish and chips,\ne3977,2016/02/11,breakfast,cereals,\"Benjamin, Jackson, Avery, Willow\"\ne3978,2016/02/12,dinner,sandwich,\ne3979,2016/02/13,lunch,steak,\"Willow, Avery, Jackson\"\ne3981,2016/02/16,lunch,fish and chips,\ne3982,2016/02/17,lunch,sushi,\"Kayden, Carter, Emily\"\ne3986,2016/02/19,breakfast,peanut-butter-jam,\ne3987,2016/02/20,dinner,sandwich,\ne3991,2016/02/23,breakfast,cereals,\ne3992,2016/02/23,lunch,tacos,\"Nora, Lydia, Piper, Eva, Claire, Nevaeh, Hazel, Kinsley, Olivia, Piper\"\ne3996,2016/02/26,dinner,tacos,\ne4000,2016/02/28,breakfast,oatmeal,Emily\ne4003,2016/03/01,dinner,sushi,\ne4004,2016/03/02,dinner,sushi,\"Carter, Andrew, Kayden\"\ne4006,2016/03/03,breakfast,pancakes,\ne4009,2016/03/05,lunch,indian food,\"Kayden, Carter, Emily\"\ne4012,2016/03/06,lunch,sushi,\"Emily, Carter, Andrew, Kayden\"\ne4013,2016/03/07,breakfast,\"eggs, sausages, and bread\",\"Piper, Hazel, Nevaeh, Nora, Kinsley, Olivia, Claire, Eva, Avery, Lydia, Piper\"\ne4014,2016/03/07,lunch,sandwich,\ne4017,2016/03/08,breakfast,peanut-butter-jam,\"Benjamin, Willow, Avery, Jackson\"\ne4018,2016/03/08,lunch,pasta,\ne4020,2016/03/11,dinner,sandwich,\"Kayden, Andrew, Carter\"\ne4021,2016/03/13,dinner,sushi,Jackson\ne4022,2016/03/14,lunch,tacos,\"Willow, Jackson\"\ne4023,2016/03/15,dinner,tacos,\"Lydia, Nora, Nevaeh, Rylee, Piper, Kinsley, Avery, Olivia, Layla, Piper, Eva, Claire\"\ne4026,2016/03/16,lunch,pasta,\"Kinsley, Eva, Lydia, Claire, Piper, Nora, Layla, Hazel\"\ne4027,2016/03/16,dinner,a burger,Carter\ne4033,2016/03/20,breakfast,\"eggs, sausages, and bread\",\ne4034,2016/03/21,lunch,sushi,\ne4036,2016/03/22,dinner,a burger,\ne4039,2016/03/23,lunch,sandwich,\ne4043,2016/03/24,breakfast,peanut-butter-jam,\"Andrew, Kayden, Emily\"\ne4044,2016/03/25,dinner,steak,\ne4052,2016/03/30,lunch,tacos,\"Lydia, Kinsley, Layla, Hazel, Rylee, Olivia, Nevaeh, Eva, Avery, Nora\"\ne4053,2016/03/30,dinner,pasta,Andrew\ne4056,2016/03/31,dinner,steak,\ne4058,2016/04/01,breakfast,cereals,\"Kayden, Emily, Carter\"\ne4065,2016/04/06,breakfast,pancakes,\ne4068,2016/04/09,breakfast,\"eggs, sausages, and bread\",\"Nevaeh, Nora, Layla, Hazel, Kinsley, Eva, Lydia, Piper, Avery, Olivia\"\ne4069,2016/04/09,dinner,indian food,\ne4072,2016/04/12,breakfast,pancakes,\"Eva, Olivia, Nevaeh, Lydia, Kinsley, Piper, Claire, Rylee\"\ne4073,2016/04/12,dinner,sushi,\ne4076,2016/04/15,breakfast,toast and cheese,\"Piper, Olivia\"\ne4077,2016/04/16,dinner,fish and chips,\ne4079,2016/04/17,lunch,a burger,\"Avery, Willow, Benjamin, Jackson\"\ne4081,2016/04/18,lunch,a burger,\"Jackson, Benjamin\"\ne4087,2016/04/23,breakfast,peanut-butter-jam,\ne4088,2016/04/23,dinner,steak,\ne4092,2016/04/26,dinner,sushi,\ne4095,2016/04/28,breakfast,peanut-butter-jam,\"Kayden, Andrew, Emily, Carter\"\ne4097,2016/04/29,lunch,chinese food,\"Rylee, Piper, Lydia, Layla, Piper, Olivia, Claire, Avery, Nevaeh, Eva, Kinsley\"\ne4104,2016/05/06,breakfast,pancakes,\ne4107,2016/05/08,lunch,indian food,\"Claire, Kinsley, Lydia, Piper, Rylee, Avery, Nevaeh, Nora, Layla, Eva, Piper, Hazel\"\ne4110,2016/05/10,breakfast,pancakes,\ne4114,2016/05/13,dinner,indian food,\ne4116,2016/05/14,dinner,sandwich,\"Avery, Olivia, Layla, Eva, Claire\"\ne4119,2016/05/16,dinner,sandwich,\ne4120,2016/05/18,breakfast,peanut-butter-jam,\"Avery, Benjamin, Jackson\"\ne4123,2016/05/19,dinner,indian food,\"Andrew, Carter, Emily\"\ne4125,2016/05/20,lunch,steak,\ne4129,2016/05/22,dinner,steak,Kayden\ne4131,2016/05/24,breakfast,peanut-butter-jam,\ne4133,2016/05/26,dinner,steak,\ne4134,2016/05/27,breakfast,cereals,\ne4135,2016/05/27,dinner,fish and chips,\ne4137,2016/05/29,dinner,indian food,Kayden\ne4140,2016/05/31,lunch,fish and chips,\"Andrew, Carter, Kayden, Emily\"\ne4141,2016/06/01,lunch,chinese food,\ne4147,2016/06/05,lunch,steak,\ne4148,2016/06/06,breakfast,pancakes,\"Layla, Avery, Olivia\"\ne4149,2016/06/06,dinner,sandwich,Emily\ne4153,2016/06/08,dinner,tacos,\ne4160,2016/06/14,breakfast,pancakes,\ne4163,2016/06/17,lunch,sushi,\"Carter, Emily\"\ne4164,2016/06/17,dinner,pasta,\ne4165,2016/06/18,lunch,pasta,\ne4166,2016/06/18,dinner,a burger,\"Andrew, Kayden\"\ne4167,2016/06/24,breakfast,pancakes,\"Carter, Andrew, Kayden, Emily\"\ne4169,2016/06/25,dinner,indian food,\ne4170,2016/06/26,dinner,a burger,\"Hazel, Nevaeh, Piper, Layla\"\ne4174,2016/06/29,lunch,steak,\ne4176,2016/07/01,dinner,fish and chips,\ne4177,2016/07/02,dinner,fish and chips,\"Jackson, Benjamin\"\ne4179,2016/07/03,breakfast,toast and cheese,\ne4180,2016/07/04,dinner,steak,\"Lydia, Layla, Avery, Nora, Olivia, Piper, Claire, Hazel\"\ne4185,2016/07/08,dinner,sushi,\ne4190,2016/07/12,dinner,sushi,\ne4192,2016/07/14,breakfast,peanut-butter-jam,\ne4194,2016/07/16,dinner,indian food,\"Andrew, Kayden\"\ne4196,2016/07/18,lunch,tacos,\ne4199,2016/07/19,breakfast,\"eggs, sausages, and bread\",\ne4201,2016/07/20,lunch,tacos,\"Andrew, Carter, Kayden\"\ne4204,2016/07/23,lunch,pasta,\"Andrew, Kayden, Carter\"\ne4205,2016/07/23,dinner,chinese food,\ne4210,2016/07/26,breakfast,pancakes,\ne4211,2016/07/26,lunch,tacos,\"Carter, Kayden\"\ne4212,2016/07/26,dinner,fish and chips,\"Layla, Olivia, Kinsley, Lydia, Rylee\"\ne4213,2016/07/27,lunch,a burger,\ne4215,2016/07/28,lunch,sandwich,\ne4216,2016/07/29,breakfast,cereals,\ne4217,2016/07/29,lunch,pasta,\ne4221,2016/07/30,breakfast,pancakes,\ne4222,2016/07/30,lunch,a burger,Emily\ne4223,2016/07/30,dinner,tacos,\"Emily, Carter, Andrew, Kayden\"\ne4224,2016/07/31,dinner,tacos,\"Willow, Avery, Jackson, Benjamin\"\ne4226,2016/08/01,breakfast,toast and cheese,\"Hazel, Rylee, Piper, Kinsley, Nevaeh, Nora, Olivia, Layla, Lydia\"\ne4227,2016/08/01,dinner,sushi,\ne4228,2016/08/02,lunch,fish and chips,\"Andrew, Carter, Kayden\"\ne4230,2016/08/03,lunch,indian food,\ne4232,2016/08/04,lunch,steak,\ne4234,2016/08/05,lunch,chinese food,\"Carter, Andrew, Kayden, Emily\"\ne4239,2016/08/10,dinner,sushi,\ne4241,2016/08/12,lunch,chinese food,\ne4244,2016/08/13,breakfast,oatmeal,\"Andrew, Emily\"\ne4246,2016/08/15,breakfast,pancakes,\ne4247,2016/08/15,dinner,pasta,\"Kayden, Carter\"\ne4249,2016/08/16,dinner,tacos,\ne4251,2016/08/17,breakfast,peanut-butter-jam,\ne4252,2016/08/17,lunch,pasta,\ne4257,2016/08/24,breakfast,cereals,\ne4261,2016/08/26,lunch,sandwich,Carter\ne4263,2016/08/27,lunch,sandwich,\"Emily, Kayden, Carter, Andrew\"\ne4265,2016/08/29,breakfast,pancakes,\ne4270,2016/09/04,breakfast,toast and cheese,\ne4271,2016/09/04,lunch,indian food,Emily\ne4272,2016/09/04,dinner,pasta,\ne4273,2016/09/05,breakfast,\"eggs, sausages, and bread\",\ne4274,2016/09/05,dinner,indian food,\ne4275,2016/09/07,lunch,sushi,\"Emily, Andrew, Carter, Kayden\"\ne4279,2016/09/10,dinner,pasta,\"Olivia, Nevaeh, Lydia, Piper, Claire, Avery\"\ne4283,2016/09/13,breakfast,oatmeal,Andrew\ne4286,2016/09/15,dinner,sandwich,\ne4287,2016/09/16,dinner,steak,Avery\ne4291,2016/09/18,dinner,chinese food,\ne4294,2016/09/20,breakfast,toast and cheese,\ne4295,2016/09/20,lunch,pasta,\"Andrew, Emily, Carter, Kayden\"\ne4301,2016/09/22,breakfast,oatmeal,\ne4303,2016/09/23,lunch,tacos,\"Kayden, Emily, Carter\"\ne4306,2016/09/25,dinner,steak,\"Kayden, Emily, Andrew\"\ne4309,2016/09/26,dinner,a burger,\ne4311,2016/09/28,dinner,fish and chips,Kayden\ne4313,2016/09/29,lunch,pasta,\ne4321,2016/10/03,lunch,sushi,Jackson\ne4323,2016/10/05,breakfast,pancakes,\ne4324,2016/10/05,dinner,pasta,\"Carter, Emily, Kayden, Andrew\"\ne4325,2016/10/06,breakfast,toast and cheese,\ne4327,2016/10/07,lunch,a burger,\ne4328,2016/10/08,lunch,indian food,\"Emily, Kayden, Andrew\"\ne4329,2016/10/08,dinner,sushi,\ne4333,2016/10/11,lunch,indian food,\ne4334,2016/10/11,dinner,steak,\ne4337,2016/10/13,lunch,sushi,\ne4338,2016/10/13,dinner,pasta,\ne4347,2016/10/21,lunch,pasta,\ne4353,2016/10/25,dinner,chinese food,\"Kayden, Emily, Carter\"\ne4354,2016/10/26,breakfast,cereals,\"Piper, Piper, Nora, Avery, Rylee, Lydia\"\ne4357,2016/10/29,dinner,sandwich,Kayden\ne4358,2016/10/30,lunch,sushi,Kayden\ne4360,2016/11/01,breakfast,oatmeal,\ne4361,2016/11/01,dinner,indian food,\"Hazel, Piper, Olivia, Layla, Nora, Kinsley, Piper, Rylee, Lydia, Nevaeh\"\ne4362,2016/11/02,lunch,pasta,\ne4365,2016/11/05,breakfast,\"eggs, sausages, and bread\",\ne4366,2016/11/05,dinner,steak,\"Jackson, Benjamin, Avery\"\ne4368,2016/11/06,lunch,pasta,\"Emily, Kayden, Carter, Andrew\"\ne4370,2016/11/07,lunch,chinese food,\ne4371,2016/11/10,breakfast,pancakes,\"Kayden, Carter, Andrew, Emily\"\ne4372,2016/11/10,lunch,sandwich,\ne4376,2016/11/12,breakfast,cereals,\"Andrew, Kayden, Emily\"\ne4377,2016/11/12,lunch,sushi,\ne4379,2016/11/14,dinner,fish and chips,\ne4381,2016/11/16,dinner,indian food,\ne4382,2016/11/18,breakfast,peanut-butter-jam,\ne4385,2016/11/21,breakfast,oatmeal,\"Lydia, Hazel, Olivia, Nevaeh, Claire, Piper\"\ne4390,2016/11/23,dinner,tacos,\ne4397,2016/11/26,lunch,tacos,\"Avery, Jackson, Benjamin, Willow\"\ne4400,2016/11/27,breakfast,oatmeal,\"Jackson, Willow, Benjamin\"\ne4404,2016/11/30,lunch,steak,\ne4405,2016/11/30,dinner,tacos,\"Emily, Carter\"\ne4407,2016/12/02,lunch,a burger,Emily\ne4409,2016/12/03,dinner,fish and chips,\ne4411,2016/12/05,lunch,sushi,\ne4413,2016/12/06,breakfast,cereals,\ne4418,2016/12/11,breakfast,cereals,\"Hazel, Nevaeh, Claire, Piper, Eva, Rylee, Kinsley, Piper\"\ne4419,2016/12/11,dinner,pasta,\ne4421,2016/12/12,breakfast,toast and cheese,\ne4422,2016/12/12,lunch,sushi,Eva\ne4423,2016/12/13,lunch,a burger,\ne4425,2016/12/14,lunch,fish and chips,\"Kayden, Andrew, Carter, Emily\"\ne4427,2016/12/15,breakfast,cereals,\ne4430,2016/12/16,dinner,fish and chips,\ne4431,2016/12/17,dinner,indian food,\ne4433,2016/12/19,breakfast,cereals,Andrew\ne4435,2016/12/21,breakfast,cereals,\"Nora, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Piper, Layla, Lydia\"\ne4439,2016/12/25,breakfast,cereals,\"Kayden, Andrew, Carter\"\ne4442,2016/12/28,lunch,sushi,\"Andrew, Carter\"\ne4444,2016/12/29,breakfast,toast and cheese,\ne4445,2016/12/29,lunch,tacos,\"Emily, Andrew, Carter, Kayden\"\ne4446,2016/12/29,dinner,chinese food,Carter\ne4448,2016/12/31,breakfast,pancakes,\"Emily, Kayden, Carter\"\ne4539,2017/01/03,dinner,sandwich,\"Carter, Emily, Andrew\"\ne4541,2017/01/05,lunch,sushi,\"Avery, Benjamin\"\ne4542,2017/01/05,dinner,pasta,\ne4546,2017/01/08,breakfast,pancakes,\"Carter, Emily, Kayden, Andrew\"\ne4550,2017/01/10,breakfast,pancakes,\ne4552,2017/01/11,lunch,indian food,Andrew\ne4554,2017/01/12,dinner,chinese food,\ne4557,2017/01/13,breakfast,toast and cheese,Kayden\ne4558,2017/01/13,dinner,sandwich,\ne4561,2017/01/14,breakfast,peanut-butter-jam,\ne4562,2017/01/16,lunch,a burger,\ne4564,2017/01/17,dinner,tacos,\"Piper, Hazel, Eva, Olivia, Claire\"\ne4567,2017/01/20,lunch,chinese food,\ne4568,2017/01/21,breakfast,toast and cheese,\ne4569,2017/01/22,lunch,fish and chips,\"Hazel, Rylee, Piper, Kinsley, Nevaeh, Claire, Avery, Piper, Lydia, Layla, Eva\"\ne4570,2017/01/23,lunch,tacos,\ne4571,2017/01/23,dinner,a burger,\ne4574,2017/01/24,breakfast,cereals,\ne4575,2017/01/24,dinner,a burger,\ne4576,2017/01/25,dinner,a burger,\ne4577,2017/01/26,lunch,pasta,\"Carter, Kayden, Emily\"\ne4578,2017/01/26,dinner,sushi,\ne4580,2017/01/27,lunch,tacos,\ne4581,2017/01/28,dinner,a burger,\ne4583,2017/01/31,lunch,sushi,\ne4585,2017/02/02,dinner,steak,\ne4588,2017/02/03,breakfast,toast and cheese,\ne4589,2017/02/03,lunch,fish and chips,\ne4591,2017/02/04,lunch,pasta,\"Avery, Benjamin, Willow\"\ne4597,2017/02/08,dinner,sandwich,\ne4600,2017/02/09,breakfast,peanut-butter-jam,\ne4606,2017/02/13,lunch,fish and chips,\"Carter, Kayden, Emily, Andrew\"\ne4611,2017/02/16,lunch,indian food,\ne4613,2017/02/18,breakfast,\"eggs, sausages, and bread\",\ne4615,2017/02/19,breakfast,toast and cheese,\ne4617,2017/02/21,lunch,tacos,\"Andrew, Kayden, Carter, Emily\"\ne4619,2017/02/24,breakfast,pancakes,\ne4620,2017/02/25,lunch,chinese food,\"Carter, Andrew\"\ne4622,2017/02/26,breakfast,cereals,\"Lydia, Piper, Hazel, Olivia, Nora, Eva, Claire, Layla\"\ne4623,2017/02/27,breakfast,oatmeal,Andrew\ne4624,2017/02/27,dinner,pasta,\ne4626,2017/02/28,breakfast,cereals,\ne4629,2017/03/02,lunch,fish and chips,\ne4630,2017/03/02,dinner,indian food,\ne4631,2017/03/03,breakfast,toast and cheese,\ne4632,2017/03/03,dinner,indian food,\ne4637,2017/03/08,lunch,chinese food,\ne4639,2017/03/09,breakfast,\"eggs, sausages, and bread\",\ne4641,2017/03/10,breakfast,peanut-butter-jam,Andrew\ne4642,2017/03/11,lunch,fish and chips,\"Eva, Nora, Rylee, Hazel\"\ne4643,2017/03/12,breakfast,pancakes,\ne4644,2017/03/12,lunch,sandwich,\"Kayden, Carter, Andrew, Emily\"\ne4645,2017/03/13,breakfast,cereals,\ne4655,2017/03/22,lunch,steak,\ne4658,2017/03/24,lunch,a burger,\ne4659,2017/03/24,dinner,a burger,\ne4663,2017/03/27,dinner,sushi,\ne4665,2017/03/29,breakfast,oatmeal,\"Avery, Claire, Kinsley\"\ne4668,2017/03/30,dinner,pasta,\ne4671,2017/04/01,lunch,fish and chips,\ne4680,2017/04/06,dinner,tacos,\"Carter, Kayden\"\ne4681,2017/04/08,dinner,chinese food,\ne4686,2017/04/12,lunch,a burger,\ne4690,2017/04/18,lunch,fish and chips,\ne4691,2017/04/18,dinner,sushi,\"Emily, Carter, Andrew, Kayden\"\ne4695,2017/04/19,lunch,indian food,\"Nora, Claire, Kinsley, Avery, Nevaeh, Piper, Lydia, Layla, Hazel, Rylee, Piper, Olivia\"\ne4697,2017/04/22,breakfast,toast and cheese,\ne4699,2017/04/23,lunch,chinese food,Andrew\ne4702,2017/04/24,breakfast,\"eggs, sausages, and bread\",\ne4703,2017/04/25,breakfast,oatmeal,\ne4710,2017/04/28,dinner,fish and chips,\ne4712,2017/04/29,lunch,a burger,Rylee\ne4713,2017/04/29,dinner,pasta,\ne4721,2017/05/03,breakfast,oatmeal,\ne4723,2017/05/04,lunch,sandwich,\ne4724,2017/05/04,dinner,tacos,\"Emily, Kayden, Carter, Andrew\"\ne4726,2017/05/07,lunch,a burger,\ne4727,2017/05/07,dinner,pasta,\ne4729,2017/05/08,dinner,sushi,\"Lydia, Avery, Layla, Claire, Rylee, Hazel, Olivia, Eva, Kinsley, Nevaeh\"\ne4734,2017/05/12,dinner,sandwich,\"Andrew, Carter, Kayden, Emily\"\ne4735,2017/05/13,breakfast,cereals,\ne4736,2017/05/13,lunch,fish and chips,\ne4737,2017/05/15,lunch,indian food,\ne4741,2017/05/19,breakfast,oatmeal,\ne4742,2017/05/21,breakfast,peanut-butter-jam,Carter\ne4743,2017/05/21,lunch,sandwich,\ne4744,2017/05/21,dinner,chinese food,\ne4753,2017/05/30,breakfast,peanut-butter-jam,\ne4754,2017/05/30,lunch,steak,\"Benjamin, Avery, Jackson\"\ne4756,2017/05/31,dinner,indian food,\"Kayden, Andrew, Emily, Carter\"\ne4759,2017/06/01,breakfast,oatmeal,\"Carter, Andrew, Emily\"\ne4760,2017/06/01,lunch,indian food,\"Eva, Nora, Kinsley, Piper, Olivia\"\ne4762,2017/06/02,breakfast,toast and cheese,\ne4763,2017/06/02,dinner,fish and chips,\ne4773,2017/06/09,breakfast,cereals,Jackson\ne4781,2017/06/15,lunch,a burger,\"Kayden, Andrew, Carter, Emily\"\ne4783,2017/06/16,breakfast,peanut-butter-jam,\ne4784,2017/06/16,lunch,indian food,Emily\ne4787,2017/06/18,dinner,sushi,Emily\ne4793,2017/06/24,dinner,indian food,Emily\ne4797,2017/06/26,breakfast,cereals,\"Emily, Carter, Kayden, Andrew\"\ne4798,2017/06/26,dinner,pasta,\ne4804,2017/06/30,dinner,pasta,\ne4805,2017/07/02,lunch,a burger,\ne4806,2017/07/05,dinner,steak,\ne4809,2017/07/06,breakfast,oatmeal,\"Carter, Andrew\"\ne4810,2017/07/06,lunch,fish and chips,\ne4811,2017/07/06,dinner,pasta,\ne4813,2017/07/07,lunch,chinese food,\"Eva, Piper, Lydia, Kinsley, Claire, Olivia, Piper, Layla\"\ne4814,2017/07/07,dinner,pasta,\ne4820,2017/07/12,breakfast,cereals,\ne4823,2017/07/16,dinner,pasta,\ne4828,2017/07/18,dinner,fish and chips,\ne4832,2017/07/24,dinner,fish and chips,\"Emily, Andrew, Carter, Kayden\"\ne4834,2017/07/25,dinner,sandwich,\ne4835,2017/07/27,dinner,tacos,\ne4837,2017/07/29,lunch,indian food,\ne4838,2017/07/29,dinner,chinese food,\"Rylee, Nora, Claire, Eva, Olivia\"\ne4840,2017/07/30,breakfast,peanut-butter-jam,\"Kayden, Emily\"\ne4841,2017/07/30,lunch,sandwich,\"Kayden, Emily, Andrew\"\ne4842,2017/07/30,dinner,fish and chips,\ne4843,2017/07/31,dinner,a burger,\"Emily, Kayden\"\ne4846,2017/08/01,dinner,pasta,\ne4848,2017/08/03,breakfast,toast and cheese,\"Kayden, Emily\"\ne4857,2017/08/10,breakfast,pancakes,\ne4858,2017/08/11,breakfast,peanut-butter-jam,\ne4860,2017/08/12,lunch,steak,Carter\ne4861,2017/08/12,dinner,tacos,\"Andrew, Kayden\"\ne4862,2017/08/13,dinner,steak,\ne4863,2017/08/14,dinner,indian food,\"Olivia, Hazel, Piper, Nora, Lydia, Avery, Kinsley, Rylee, Eva, Claire, Piper\"\ne4864,2017/08/15,dinner,a burger,\"Rylee, Hazel, Piper, Lydia, Olivia, Piper, Eva, Layla\"\ne4865,2017/08/16,dinner,tacos,\ne4866,2017/08/17,breakfast,\"eggs, sausages, and bread\",\"Jackson, Willow\"\ne4868,2017/08/18,lunch,sushi,\"Claire, Piper\"\ne4870,2017/08/20,dinner,a burger,\ne4872,2017/08/21,breakfast,peanut-butter-jam,\ne4875,2017/08/23,dinner,indian food,\ne4877,2017/08/24,lunch,steak,\ne4878,2017/08/24,dinner,chinese food,\ne4884,2017/08/26,dinner,sushi,\ne4887,2017/08/29,breakfast,toast and cheese,\"Emily, Carter\"\ne4891,2017/08/31,breakfast,pancakes,\ne4892,2017/09/02,breakfast,pancakes,\"Nevaeh, Layla, Hazel, Avery, Rylee, Kinsley\"\ne4896,2017/09/04,lunch,indian food,\"Piper, Piper, Olivia, Claire, Avery, Hazel, Nora, Kinsley, Nevaeh, Rylee, Layla, Eva\"\ne4903,2017/09/09,breakfast,oatmeal,\"Emily, Kayden, Carter\"\ne4904,2017/09/09,dinner,sandwich,\"Kayden, Carter\"\ne4913,2017/09/15,breakfast,toast and cheese,\ne4915,2017/09/16,breakfast,toast and cheese,\ne4916,2017/09/17,breakfast,\"eggs, sausages, and bread\",\ne4918,2017/09/18,lunch,indian food,\ne4920,2017/09/19,lunch,steak,\ne4921,2017/09/21,breakfast,cereals,\ne4922,2017/09/21,dinner,steak,\ne4930,2017/09/28,breakfast,peanut-butter-jam,\"Andrew, Kayden, Carter, Emily\"\ne4931,2017/09/28,lunch,sushi,\ne4932,2017/09/29,breakfast,cereals,\ne4933,2017/09/29,dinner,tacos,\"Nora, Lydia, Rylee, Hazel, Nevaeh, Piper, Olivia, Piper, Eva, Layla, Avery, Kinsley, Claire\"\ne4935,2017/09/30,lunch,sandwich,\ne4938,2017/10/04,breakfast,peanut-butter-jam,\ne4944,2017/10/09,lunch,fish and chips,\ne4947,2017/10/13,lunch,sushi,\"Avery, Jackson, Benjamin, Willow\"\ne4949,2017/10/14,breakfast,toast and cheese,\ne4952,2017/10/16,lunch,indian food,\ne4953,2017/10/16,dinner,steak,Carter\ne4954,2017/10/17,breakfast,oatmeal,\ne4957,2017/10/19,breakfast,pancakes,\"Emily, Carter, Andrew\"\ne4960,2017/10/21,breakfast,pancakes,\ne4961,2017/10/22,breakfast,\"eggs, sausages, and bread\",\ne4963,2017/10/23,breakfast,toast and cheese,\"Emily, Andrew, Carter, Kayden\"\ne4964,2017/10/23,lunch,sandwich,\"Carter, Andrew\"\ne4966,2017/10/25,dinner,chinese food,\ne4968,2017/10/26,dinner,sushi,\"Andrew, Emily, Kayden\"\ne4970,2017/10/28,breakfast,cereals,\ne4971,2017/10/28,lunch,fish and chips,\ne4975,2017/10/30,lunch,steak,\ne4976,2017/10/30,dinner,sandwich,\ne4980,2017/11/02,breakfast,oatmeal,\ne4982,2017/11/03,lunch,sushi,\ne4985,2017/11/04,breakfast,cereals,\ne4988,2017/11/05,lunch,fish and chips,Carter\ne4992,2017/11/07,dinner,sushi,\ne4996,2017/11/09,dinner,chinese food,\ne4999,2017/11/10,dinner,tacos,\"Olivia, Kinsley, Layla, Nora\"\ne5004,2017/11/13,lunch,tacos,\"Andrew, Kayden, Emily, Carter\"\ne5007,2017/11/14,breakfast,cereals,\ne5008,2017/11/14,lunch,tacos,\"Avery, Jackson, Willow, Benjamin\"\ne5010,2017/11/15,breakfast,pancakes,\"Hazel, Kinsley, Piper, Olivia, Eva, Lydia, Nora, Nevaeh, Avery, Rylee, Layla\"\ne5013,2017/11/16,lunch,a burger,\ne5014,2017/11/16,dinner,pasta,\ne5017,2017/11/18,breakfast,peanut-butter-jam,\ne5018,2017/11/19,lunch,tacos,\"Carter, Andrew\"\ne5024,2017/11/21,lunch,sushi,\"Benjamin, Avery, Jackson, Willow\"\ne5027,2017/11/22,lunch,indian food,\ne5028,2017/11/23,breakfast,cereals,\ne5031,2017/11/24,lunch,chinese food,\"Emily, Carter, Kayden, Andrew\"\ne5033,2017/11/25,dinner,indian food,\ne5036,2017/11/27,dinner,chinese food,\ne5038,2017/11/30,lunch,a burger,\ne5043,2017/12/04,lunch,fish and chips,\"Andrew, Kayden, Carter\"\ne5048,2017/12/06,dinner,a burger,\"Emily, Carter, Andrew\"\ne5049,2017/12/07,lunch,indian food,\ne5050,2017/12/08,lunch,a burger,\ne5052,2017/12/10,breakfast,peanut-butter-jam,\ne5053,2017/12/10,lunch,steak,\ne5054,2017/12/11,lunch,steak,\ne5055,2017/12/11,dinner,chinese food,\ne5058,2017/12/12,lunch,fish and chips,\ne5059,2017/12/12,dinner,steak,\ne5061,2017/12/13,lunch,a burger,\ne5065,2017/12/17,breakfast,peanut-butter-jam,\"Carter, Kayden, Andrew\"\ne5070,2017/12/19,lunch,fish and chips,\"Willow, Benjamin, Jackson\"\ne5073,2017/12/22,lunch,steak,\"Willow, Jackson, Avery\"\ne5074,2017/12/22,dinner,tacos,\"Carter, Kayden\"\ne5076,2017/12/23,breakfast,oatmeal,\ne5079,2017/12/24,lunch,fish and chips,\ne5080,2017/12/24,dinner,steak,\ne5083,2017/12/27,lunch,indian food,\ne5084,2017/12/27,dinner,sushi,\"Andrew, Carter, Emily, Kayden\"\ne5087,2017/12/28,breakfast,cereals,\ne5089,2017/12/29,dinner,a burger,\"Layla, Nora, Kinsley, Lydia, Avery, Piper\"\ne5196,2018/01/01,breakfast,toast and cheese,\ne5197,2018/01/02,dinner,a burger,\ne5200,2018/01/04,lunch,tacos,\ne5202,2018/01/05,breakfast,oatmeal,\ne5205,2018/01/07,breakfast,cereals,\ne5208,2018/01/09,dinner,sandwich,\"Kayden, Andrew\"\ne5209,2018/01/10,breakfast,peanut-butter-jam,Layla\ne5210,2018/01/10,lunch,pasta,Emily\ne5211,2018/01/10,dinner,indian food,\ne5222,2018/01/19,breakfast,oatmeal,Andrew\ne5223,2018/01/19,lunch,fish and chips,\ne5224,2018/01/19,dinner,sushi,\ne5228,2018/01/21,dinner,a burger,\"Emily, Kayden, Carter, Andrew\"\ne5229,2018/01/22,breakfast,pancakes,\"Hazel, Avery, Nevaeh, Lydia, Rylee, Layla, Piper, Olivia, Eva, Nora\"\ne5232,2018/01/23,breakfast,oatmeal,\"Kayden, Carter, Andrew\"\ne5233,2018/01/23,dinner,fish and chips,\"Andrew, Emily, Kayden, Carter\"\ne5235,2018/01/26,dinner,tacos,Willow\ne5239,2018/01/31,breakfast,\"eggs, sausages, and bread\",\"Kayden, Emily, Carter\"\ne5240,2018/01/31,lunch,a burger,\ne5241,2018/02/01,breakfast,pancakes,\ne5242,2018/02/01,lunch,a burger,\ne5245,2018/02/03,lunch,sandwich,\ne5246,2018/02/03,dinner,tacos,\ne5248,2018/02/05,lunch,sushi,\ne5249,2018/02/05,dinner,indian food,\ne5251,2018/02/06,lunch,pasta,\"Kayden, Carter, Andrew, Emily\"\ne5253,2018/02/07,lunch,pasta,\ne5254,2018/02/07,dinner,chinese food,\ne5256,2018/02/08,dinner,pasta,\ne5257,2018/02/09,lunch,chinese food,\ne5259,2018/02/12,breakfast,toast and cheese,\"Emily, Carter, Andrew\"\ne5260,2018/02/12,dinner,pasta,\ne5266,2018/02/18,breakfast,peanut-butter-jam,\ne5270,2018/02/21,breakfast,cereals,\ne5273,2018/02/24,lunch,indian food,\"Avery, Hazel, Kinsley, Rylee, Piper, Piper, Nora, Olivia, Eva\"\ne5275,2018/02/25,breakfast,\"eggs, sausages, and bread\",\ne5282,2018/03/01,breakfast,peanut-butter-jam,\ne5284,2018/03/02,dinner,chinese food,Benjamin\ne5288,2018/03/05,lunch,sushi,\ne5293,2018/03/09,dinner,steak,\ne5294,2018/03/10,lunch,pasta,\ne5295,2018/03/12,dinner,tacos,\ne5296,2018/03/13,lunch,a burger,\ne5298,2018/03/14,dinner,a burger,\ne5300,2018/03/15,lunch,steak,\ne5305,2018/03/17,breakfast,oatmeal,\ne5306,2018/03/18,lunch,indian food,\ne5307,2018/03/18,dinner,fish and chips,\ne5309,2018/03/20,lunch,pasta,\ne5314,2018/03/23,dinner,steak,\"Andrew, Carter, Emily\"\ne5323,2018/03/30,dinner,indian food,\"Avery, Nora, Nevaeh, Olivia, Eva, Piper, Lydia, Piper, Kinsley, Hazel, Rylee\"\ne5324,2018/03/31,breakfast,oatmeal,\"Kayden, Emily, Carter\"\ne5325,2018/04/01,dinner,steak,\ne5327,2018/04/02,breakfast,toast and cheese,\ne5328,2018/04/02,dinner,fish and chips,\ne5332,2018/04/08,dinner,tacos,\ne5335,2018/04/10,lunch,sushi,\ne5339,2018/04/12,breakfast,toast and cheese,\ne5347,2018/04/15,lunch,a burger,\"Andrew, Emily\"\ne5350,2018/04/17,dinner,sandwich,\"Emily, Andrew, Kayden, Carter\"\ne5354,2018/04/19,dinner,sandwich,\ne5355,2018/04/20,dinner,sushi,\"Kayden, Emily, Andrew, Carter\"\ne5359,2018/04/25,breakfast,oatmeal,\ne5360,2018/04/25,lunch,sushi,\ne5361,2018/04/25,dinner,a burger,\"Nora, Eva, Olivia, Nevaeh, Kinsley, Hazel, Lydia, Claire, Piper, Avery, Piper, Rylee, Layla\"\ne5362,2018/04/26,breakfast,cereals,\ne5364,2018/04/27,dinner,fish and chips,\ne5366,2018/04/28,dinner,fish and chips,\ne5367,2018/04/29,breakfast,pancakes,\ne5372,2018/05/01,lunch,sushi,\ne5381,2018/05/06,breakfast,toast and cheese,\ne5383,2018/05/07,dinner,sandwich,\ne5384,2018/05/08,breakfast,toast and cheese,\ne5385,2018/05/09,breakfast,oatmeal,\"Jackson, Willow\"\ne5387,2018/05/12,breakfast,cereals,\"Andrew, Emily, Carter, Kayden\"\ne5388,2018/05/12,dinner,steak,\ne5390,2018/05/13,breakfast,peanut-butter-jam,\ne5392,2018/05/14,lunch,sushi,\ne5395,2018/05/15,breakfast,peanut-butter-jam,\ne5397,2018/05/17,breakfast,pancakes,\"Emily, Andrew, Kayden, Carter\"\ne5402,2018/05/22,dinner,indian food,\ne5404,2018/05/23,lunch,fish and chips,\ne5407,2018/05/24,breakfast,peanut-butter-jam,\"Andrew, Kayden\"\ne5408,2018/05/24,lunch,a burger,\ne5409,2018/05/25,dinner,pasta,\ne5419,2018/05/31,breakfast,oatmeal,\ne5421,2018/06/01,breakfast,toast and cheese,\"Emily, Andrew\"\ne5423,2018/06/02,lunch,tacos,\"Lydia, Nora, Piper, Nevaeh, Rylee, Avery, Eva\"\ne5425,2018/06/03,breakfast,peanut-butter-jam,\ne5426,2018/06/03,lunch,indian food,\ne5428,2018/06/04,lunch,sandwich,\"Avery, Benjamin, Jackson, Willow\"\ne5430,2018/06/05,breakfast,\"eggs, sausages, and bread\",\"Willow, Avery, Jackson, Benjamin\"\ne5432,2018/06/06,breakfast,pancakes,\ne5435,2018/06/13,breakfast,peanut-butter-jam,\"Claire, Nevaeh, Kinsley, Lydia, Olivia, Piper, Nora, Piper, Hazel, Avery\"\ne5436,2018/06/13,lunch,sandwich,\ne5437,2018/06/14,lunch,indian food,\ne5438,2018/06/15,lunch,chinese food,\"Hazel, Olivia, Piper, Avery, Lydia, Rylee, Piper, Eva, Kinsley, Layla, Claire, Nora, Nevaeh\"\ne5441,2018/06/17,breakfast,toast and cheese,\"Kayden, Emily\"\ne5443,2018/06/18,breakfast,cereals,\"Avery, Willow\"\ne5445,2018/06/19,breakfast,toast and cheese,\ne5446,2018/06/20,dinner,pasta,\"Benjamin, Willow, Avery, Jackson\"\ne5448,2018/06/23,breakfast,cereals,\"Nora, Olivia, Kinsley, Claire, Layla, Piper\"\ne5450,2018/06/25,dinner,chinese food,\ne5456,2018/06/29,dinner,sandwich,\"Layla, Hazel, Olivia, Lydia, Nevaeh, Piper, Eva, Kinsley, Piper, Avery, Rylee, Claire, Nora\"\ne5457,2018/07/01,dinner,a burger,\ne5460,2018/07/04,lunch,sushi,\ne5463,2018/07/06,breakfast,toast and cheese,\ne5467,2018/07/07,lunch,tacos,\"Andrew, Carter\"\ne5471,2018/07/09,lunch,tacos,\ne5477,2018/07/13,lunch,fish and chips,\ne5478,2018/07/13,dinner,steak,\"Claire, Kinsley, Nevaeh, Piper, Eva\"\ne5479,2018/07/14,dinner,chinese food,\ne5483,2018/07/17,breakfast,cereals,Kayden\ne5485,2018/07/19,breakfast,\"eggs, sausages, and bread\",\ne5486,2018/07/20,dinner,indian food,\ne5489,2018/07/23,breakfast,cereals,\"Layla, Olivia, Claire, Lydia, Nora, Eva, Rylee, Avery, Piper, Hazel\"\ne5492,2018/07/24,breakfast,toast and cheese,\ne5496,2018/07/28,dinner,a burger,\ne5498,2018/07/29,breakfast,peanut-butter-jam,\"Rylee, Olivia, Piper\"\ne5500,2018/07/30,breakfast,peanut-butter-jam,\ne5501,2018/07/30,dinner,steak,\ne5503,2018/08/01,breakfast,pancakes,Jackson\ne5505,2018/08/04,dinner,sandwich,\ne5507,2018/08/05,dinner,sandwich,\"Willow, Avery\"\ne5512,2018/08/08,dinner,a burger,\ne5515,2018/08/12,lunch,pasta,\ne5516,2018/08/12,dinner,a burger,\"Emily, Carter\"\ne5518,2018/08/13,dinner,fish and chips,\ne5520,2018/08/16,breakfast,\"eggs, sausages, and bread\",\ne5523,2018/08/17,lunch,pasta,\ne5526,2018/08/20,dinner,sushi,\"Avery, Jackson, Willow\"\ne5529,2018/08/25,breakfast,\"eggs, sausages, and bread\",\ne5530,2018/08/25,lunch,fish and chips,\"Eva, Piper, Claire, Nora, Avery, Piper, Lydia, Layla\"\ne5532,2018/08/28,breakfast,cereals,\"Emily, Carter\"\ne5535,2018/08/29,breakfast,oatmeal,\ne5536,2018/08/30,lunch,indian food,\ne5537,2018/08/30,dinner,sandwich,\ne5539,2018/09/01,dinner,fish and chips,\ne5542,2018/09/03,breakfast,\"eggs, sausages, and bread\",\ne5545,2018/09/04,dinner,a burger,Avery\ne5550,2018/09/10,dinner,fish and chips,\"Carter, Emily, Andrew, Kayden\"\ne5553,2018/09/12,dinner,fish and chips,\"Andrew, Kayden, Emily\"\ne5554,2018/09/13,breakfast,cereals,\ne5558,2018/09/14,breakfast,pancakes,\"Andrew, Carter, Emily\"\ne5559,2018/09/14,lunch,indian food,\ne5562,2018/09/16,lunch,indian food,\ne5564,2018/09/18,dinner,indian food,\ne5566,2018/09/20,breakfast,oatmeal,\"Piper, Nora, Rylee, Hazel, Nevaeh, Lydia, Avery, Olivia\"\ne5572,2018/09/25,lunch,chinese food,\ne5577,2018/09/27,breakfast,peanut-butter-jam,Andrew\ne5578,2018/09/27,lunch,steak,\ne5580,2018/09/28,lunch,sushi,\ne5581,2018/09/28,dinner,pasta,\ne5583,2018/10/01,dinner,sushi,\ne5586,2018/10/02,dinner,pasta,\ne5590,2018/10/04,breakfast,pancakes,Andrew\ne5591,2018/10/04,dinner,fish and chips,\ne5593,2018/10/07,lunch,chinese food,\ne5596,2018/10/09,lunch,tacos,\ne5599,2018/10/12,dinner,steak,\"Claire, Hazel, Olivia, Piper, Layla, Nora, Avery, Piper, Lydia, Kinsley, Rylee\"\ne5603,2018/10/14,lunch,indian food,\"Emily, Carter\"\ne5604,2018/10/15,lunch,pasta,\ne5605,2018/10/16,dinner,sushi,\ne5609,2018/10/20,breakfast,pancakes,\ne5613,2018/10/21,breakfast,\"eggs, sausages, and bread\",\ne5616,2018/10/24,breakfast,oatmeal,\ne5618,2018/10/25,dinner,pasta,\"Emily, Andrew\"\ne5620,2018/10/26,breakfast,\"eggs, sausages, and bread\",\ne5622,2018/10/27,lunch,steak,\ne5623,2018/10/27,dinner,fish and chips,Andrew\ne5624,2018/10/29,dinner,a burger,Benjamin\ne5625,2018/10/30,breakfast,cereals,\ne5626,2018/10/30,dinner,chinese food,\ne5629,2018/11/04,breakfast,oatmeal,\ne5632,2018/11/06,breakfast,\"eggs, sausages, and bread\",\ne5636,2018/11/08,lunch,sushi,\ne5639,2018/11/11,breakfast,\"eggs, sausages, and bread\",\ne5640,2018/11/11,dinner,sushi,\ne5643,2018/11/12,dinner,chinese food,\ne5645,2018/11/13,lunch,steak,\"Andrew, Emily, Carter, Kayden\"\ne5649,2018/11/16,breakfast,toast and cheese,\ne5650,2018/11/16,dinner,sandwich,\ne5651,2018/11/17,dinner,tacos,Kayden\ne5653,2018/11/18,breakfast,peanut-butter-jam,\ne5654,2018/11/18,lunch,a burger,\ne5656,2018/11/19,dinner,chinese food,\"Willow, Benjamin, Avery, Jackson\"\ne5659,2018/11/21,breakfast,peanut-butter-jam,\"Kayden, Carter, Andrew, Emily\"\ne5662,2018/11/23,lunch,a burger,\"Eva, Hazel, Lydia, Kinsley, Nora, Rylee, Olivia\"\ne5669,2018/11/28,breakfast,peanut-butter-jam,\ne5673,2018/12/02,breakfast,pancakes,\ne5674,2018/12/02,dinner,a burger,\ne5676,2018/12/03,dinner,chinese food,\"Carter, Andrew, Emily, Kayden\"\ne5681,2018/12/04,breakfast,peanut-butter-jam,\ne5683,2018/12/05,dinner,steak,\ne5684,2018/12/06,breakfast,toast and cheese,\ne5685,2018/12/06,dinner,a burger,\ne5689,2018/12/09,breakfast,\"eggs, sausages, and bread\",\ne5690,2018/12/12,breakfast,oatmeal,\ne5691,2018/12/12,lunch,pasta,\"Piper, Layla, Hazel, Eva, Kinsley, Olivia, Avery, Rylee\"\ne5692,2018/12/12,dinner,fish and chips,\"Benjamin, Willow, Avery, Jackson\"\ne5694,2018/12/13,dinner,indian food,\"Piper, Claire, Piper, Nora\"\ne5695,2018/12/14,breakfast,pancakes,\ne5699,2018/12/15,breakfast,cereals,\ne5704,2018/12/18,breakfast,toast and cheese,\ne5705,2018/12/18,lunch,fish and chips,\"Jackson, Benjamin, Avery, Willow\"\ne5707,2018/12/19,lunch,pasta,\"Olivia, Eva, Hazel, Nevaeh, Avery\"\ne5710,2018/12/21,dinner,steak,\ne5712,2018/12/23,dinner,sushi,\ne5715,2018/12/25,breakfast,toast and cheese,\ne5720,2018/12/28,dinner,indian food,\"Avery, Willow, Jackson\"\ne5723,2018/12/30,dinner,chinese food,\ne5821,2019/01/02,dinner,indian food,\ne5831,2019/01/10,breakfast,oatmeal,\"Hazel, Claire, Eva, Piper, Avery, Lydia, Rylee\"\ne5832,2019/01/10,lunch,a burger,\ne5836,2019/01/13,breakfast,pancakes,\ne5837,2019/01/13,dinner,chinese food,\"Rylee, Hazel, Avery, Piper, Claire, Nevaeh, Kinsley, Layla, Olivia, Piper, Lydia\"\ne5840,2019/01/14,breakfast,peanut-butter-jam,\ne5841,2019/01/14,dinner,chinese food,\ne5843,2019/01/15,breakfast,toast and cheese,\"Kayden, Carter, Emily, Andrew\"\ne5846,2019/01/18,breakfast,\"eggs, sausages, and bread\",\ne5847,2019/01/18,lunch,fish and chips,\"Jackson, Willow, Benjamin, Avery\"\ne5849,2019/01/19,breakfast,toast and cheese,\ne5852,2019/01/20,lunch,a burger,\ne5855,2019/01/21,dinner,sushi,\"Eva, Hazel, Piper, Avery, Nora, Nevaeh, Claire, Piper\"\ne5865,2019/01/25,dinner,sushi,\"Nora, Hazel, Kinsley, Nevaeh, Piper, Rylee, Claire, Piper, Avery, Layla, Olivia\"\ne5866,2019/01/26,lunch,tacos,\ne5872,2019/01/31,lunch,a burger,\"Andrew, Carter\"\ne5879,2019/02/03,dinner,sushi,\ne5884,2019/02/06,breakfast,cereals,\ne5885,2019/02/06,dinner,indian food,\"Avery, Piper, Nora, Eva, Rylee, Lydia, Olivia, Layla, Piper\"\ne5886,2019/02/07,breakfast,pancakes,\ne5887,2019/02/08,breakfast,\"eggs, sausages, and bread\",\ne5890,2019/02/10,breakfast,toast and cheese,\"Willow, Avery\"\ne5895,2019/02/13,lunch,steak,\ne5898,2019/02/14,breakfast,cereals,\ne5899,2019/02/14,lunch,a burger,\ne5901,2019/02/15,breakfast,\"eggs, sausages, and bread\",\ne5906,2019/02/18,breakfast,peanut-butter-jam,\ne5909,2019/02/20,breakfast,pancakes,Avery\ne5912,2019/02/23,lunch,steak,\"Rylee, Layla\"\ne5914,2019/02/25,lunch,sushi,\"Andrew, Kayden\"\ne5915,2019/02/25,dinner,sandwich,\ne5917,2019/02/26,dinner,indian food,\ne5919,2019/02/28,breakfast,oatmeal,\ne5920,2019/02/28,lunch,pasta,\"Nevaeh, Lydia, Eva, Hazel, Kinsley, Layla, Piper, Rylee, Piper, Nora, Olivia, Claire, Avery\"\ne5921,2019/02/28,dinner,sushi,\"Carter, Andrew\"\ne5922,2019/03/01,breakfast,toast and cheese,\ne5923,2019/03/01,dinner,a burger,\"Jackson, Avery, Benjamin, Willow\"\ne5925,2019/03/02,dinner,indian food,\"Claire, Lydia, Eva, Nora, Rylee\"\ne5929,2019/03/04,breakfast,toast and cheese,\ne5930,2019/03/04,lunch,fish and chips,\ne5931,2019/03/04,dinner,sandwich,\"Carter, Andrew, Kayden, Emily\"\ne5935,2019/03/09,breakfast,oatmeal,\ne5936,2019/03/09,dinner,a burger,\"Andrew, Kayden, Carter\"\ne5938,2019/03/10,breakfast,pancakes,\ne5943,2019/03/13,lunch,sandwich,\ne5945,2019/03/17,lunch,pasta,\"Carter, Emily\"\ne5948,2019/03/19,breakfast,toast and cheese,\ne5949,2019/03/19,lunch,steak,\ne5950,2019/03/20,lunch,fish and chips,\"Jackson, Willow, Avery\"\ne5952,2019/03/23,dinner,a burger,\"Rylee, Piper, Eva, Olivia, Layla, Claire, Kinsley, Hazel, Avery, Piper, Nevaeh, Lydia, Nora\"\ne5955,2019/03/24,lunch,pasta,\ne5959,2019/03/26,breakfast,\"eggs, sausages, and bread\",\ne5960,2019/03/27,dinner,fish and chips,\"Andrew, Kayden, Emily\"\ne5962,2019/03/28,breakfast,\"eggs, sausages, and bread\",\ne5965,2019/04/01,lunch,sushi,\ne5966,2019/04/01,dinner,indian food,\ne5967,2019/04/02,breakfast,\"eggs, sausages, and bread\",\"Andrew, Carter\"\ne5972,2019/04/03,breakfast,peanut-butter-jam,\ne5974,2019/04/05,lunch,steak,Nevaeh\ne5977,2019/04/06,lunch,sandwich,Benjamin\ne5981,2019/04/10,lunch,chinese food,\ne5982,2019/04/12,dinner,chinese food,\ne5983,2019/04/13,breakfast,peanut-butter-jam,\ne5984,2019/04/13,lunch,fish and chips,\"Olivia, Avery, Kinsley, Nevaeh, Layla, Claire, Lydia, Nora, Hazel, Eva\"\ne5986,2019/04/15,breakfast,pancakes,\ne5987,2019/04/15,dinner,indian food,\ne5988,2019/04/16,breakfast,toast and cheese,\ne5999,2019/04/22,lunch,steak,\ne6000,2019/04/22,dinner,tacos,\"Claire, Nora, Kinsley, Nevaeh, Piper, Rylee, Piper, Eva, Layla, Lydia, Avery, Hazel\"\ne6006,2019/04/26,breakfast,toast and cheese,\"Eva, Kinsley, Olivia, Lydia, Claire, Piper, Piper, Rylee, Nevaeh, Layla, Nora, Hazel, Avery\"\ne6007,2019/04/26,lunch,sandwich,\"Piper, Piper, Olivia, Lydia, Nevaeh\"\ne6008,2019/04/26,dinner,indian food,\"Lydia, Layla, Olivia, Hazel, Rylee, Piper, Nevaeh\"\ne6010,2019/04/27,dinner,sushi,\"Jackson, Willow, Benjamin\"\ne6017,2019/05/01,breakfast,pancakes,\ne6018,2019/05/01,dinner,tacos,\"Emily, Andrew\"\ne6019,2019/05/02,breakfast,\"eggs, sausages, and bread\",\ne6021,2019/05/03,breakfast,peanut-butter-jam,Kayden\ne6022,2019/05/04,dinner,sandwich,\ne6025,2019/05/06,breakfast,peanut-butter-jam,Jackson\ne6027,2019/05/07,dinner,sandwich,\"Eva, Claire, Lydia, Rylee, Nevaeh, Hazel, Nora, Piper, Layla, Olivia, Avery, Piper, Kinsley\"\ne6028,2019/05/08,lunch,a burger,\ne6029,2019/05/08,dinner,tacos,\ne6032,2019/05/10,dinner,indian food,Emily\ne6033,2019/05/11,breakfast,toast and cheese,\"Kayden, Andrew, Emily\"\ne6037,2019/05/13,breakfast,cereals,\"Benjamin, Willow, Jackson\"\ne6039,2019/05/15,dinner,steak,\"Hazel, Olivia, Piper, Rylee, Nora, Lydia, Eva, Claire, Avery, Nevaeh, Layla, Kinsley\"\ne6043,2019/05/18,breakfast,cereals,\ne6044,2019/05/18,lunch,a burger,\ne6046,2019/05/19,breakfast,pancakes,\ne6047,2019/05/19,dinner,fish and chips,\ne6049,2019/05/21,lunch,sushi,\"Claire, Rylee, Eva, Nora, Nevaeh, Layla, Lydia\"\ne6050,2019/05/21,dinner,sandwich,Kayden\ne6051,2019/05/23,breakfast,oatmeal,\"Emily, Kayden, Carter\"\ne6056,2019/05/27,breakfast,cereals,\"Lydia, Claire, Olivia, Piper, Eva, Nora, Hazel, Avery, Piper, Rylee, Kinsley, Nevaeh, Layla\"\ne6059,2019/05/28,breakfast,cereals,\ne6060,2019/05/29,breakfast,oatmeal,\ne6065,2019/06/02,lunch,steak,\ne6068,2019/06/03,breakfast,cereals,\ne6069,2019/06/04,lunch,pasta,\ne6072,2019/06/05,dinner,sushi,\ne6073,2019/06/07,lunch,pasta,\ne6074,2019/06/08,breakfast,cereals,Willow\ne6075,2019/06/08,dinner,steak,\ne6076,2019/06/09,breakfast,oatmeal,\"Kayden, Carter, Andrew\"\ne6077,2019/06/09,dinner,chinese food,\"Emily, Andrew\"\ne6082,2019/06/12,breakfast,\"eggs, sausages, and bread\",Benjamin\ne6085,2019/06/14,breakfast,peanut-butter-jam,\ne6086,2019/06/14,dinner,fish and chips,Kayden\ne6088,2019/06/15,breakfast,toast and cheese,\ne6090,2019/06/16,dinner,steak,\ne6098,2019/06/21,lunch,indian food,\"Emily, Andrew, Carter, Kayden\"\ne6106,2019/06/27,lunch,fish and chips,\ne6108,2019/07/01,dinner,fish and chips,\ne6109,2019/07/02,breakfast,cereals,Kayden\ne6113,2019/07/05,breakfast,cereals,\"Avery, Benjamin, Willow\"\ne6115,2019/07/06,dinner,indian food,\ne6117,2019/07/08,breakfast,\"eggs, sausages, and bread\",\ne6118,2019/07/08,lunch,sushi,\"Andrew, Carter\"\ne6119,2019/07/09,breakfast,toast and cheese,\ne6122,2019/07/12,breakfast,pancakes,\ne6127,2019/07/15,dinner,fish and chips,\ne6131,2019/07/17,dinner,steak,\ne6133,2019/07/18,breakfast,toast and cheese,\"Carter, Kayden, Emily\"\ne6134,2019/07/18,lunch,tacos,\"Carter, Andrew, Emily, Kayden\"\ne6135,2019/07/18,dinner,tacos,\"Hazel, Avery, Olivia, Rylee, Nevaeh, Piper, Eva, Piper, Nora, Layla, Lydia, Kinsley, Claire\"\ne6137,2019/07/19,breakfast,peanut-butter-jam,Kayden\ne6138,2019/07/19,dinner,fish and chips,\"Nevaeh, Hazel, Nora, Avery, Layla, Olivia, Rylee, Kinsley, Piper, Lydia, Piper, Eva\"\ne6144,2019/07/22,lunch,steak,\ne6145,2019/07/22,dinner,pasta,\ne6146,2019/07/23,dinner,steak,\"Kayden, Andrew, Emily\"\ne6148,2019/07/24,dinner,indian food,\ne6149,2019/07/25,lunch,chinese food,\ne6152,2019/07/26,breakfast,pancakes,\"Carter, Andrew, Emily, Kayden\"\ne6156,2019/07/29,lunch,fish and chips,\"Kayden, Andrew\"\ne6159,2019/07/31,dinner,tacos,\"Avery, Jackson, Benjamin\"\ne6161,2019/08/01,breakfast,cereals,\"Nora, Rylee, Piper, Claire\"\ne6162,2019/08/01,lunch,chinese food,\ne6164,2019/08/02,breakfast,oatmeal,\ne6168,2019/08/04,breakfast,peanut-butter-jam,Emily\ne6169,2019/08/04,lunch,steak,\ne6172,2019/08/07,breakfast,\"eggs, sausages, and bread\",\ne6173,2019/08/07,dinner,indian food,\ne6175,2019/08/10,dinner,steak,\"Eva, Lydia\"\ne6177,2019/08/11,breakfast,cereals,\ne6179,2019/08/14,lunch,a burger,Avery\ne6182,2019/08/16,lunch,tacos,\ne6186,2019/08/18,dinner,tacos,\ne6189,2019/08/20,dinner,sandwich,\ne6192,2019/08/24,breakfast,toast and cheese,\"Andrew, Kayden, Emily\"\ne6193,2019/08/24,lunch,pasta,\ne6196,2019/08/25,dinner,pasta,\ne6198,2019/08/26,breakfast,peanut-butter-jam,Carter\ne6199,2019/08/27,lunch,a burger,\"Carter, Emily\"\ne6201,2019/08/30,lunch,fish and chips,\ne6202,2019/08/30,dinner,indian food,\ne6203,2019/09/01,lunch,tacos,\"Jackson, Willow\"\ne6206,2019/09/02,breakfast,peanut-butter-jam,\ne6208,2019/09/04,dinner,steak,\ne6211,2019/09/05,breakfast,cereals,\ne6215,2019/09/07,breakfast,toast and cheese,\ne6216,2019/09/07,dinner,indian food,Claire\ne6217,2019/09/08,dinner,sandwich,\ne6221,2019/09/10,dinner,chinese food,\"Andrew, Kayden, Emily, Carter\"\ne6225,2019/09/12,dinner,fish and chips,\ne6226,2019/09/13,dinner,steak,\"Jackson, Avery, Willow, Benjamin\"\ne6230,2019/09/15,dinner,steak,\"Claire, Nevaeh, Kinsley, Layla, Avery\"\ne6233,2019/09/16,breakfast,peanut-butter-jam,Avery\ne6236,2019/09/18,lunch,tacos,\ne6242,2019/09/24,breakfast,\"eggs, sausages, and bread\",\ne6245,2019/09/26,breakfast,\"eggs, sausages, and bread\",\ne6246,2019/09/26,lunch,sushi,\ne6247,2019/09/26,dinner,a burger,\ne6248,2019/09/29,dinner,a burger,\"Kinsley, Piper, Claire, Piper, Rylee, Nevaeh\"\ne6250,2019/09/30,lunch,chinese food,\"Jackson, Benjamin\"\ne6252,2019/10/01,lunch,sushi,\ne6255,2019/10/03,dinner,tacos,\"Carter, Emily, Andrew\"\ne6257,2019/10/05,breakfast,peanut-butter-jam,\"Nora, Claire, Lydia, Layla\"\ne6258,2019/10/06,lunch,fish and chips,\ne6259,2019/10/07,lunch,sandwich,\ne6261,2019/10/08,dinner,indian food,\ne6262,2019/10/09,lunch,pasta,\ne6264,2019/10/10,lunch,tacos,\"Andrew, Kayden, Carter, Emily\"\ne6266,2019/10/11,lunch,a burger,\"Kayden, Emily\"\ne6270,2019/10/12,breakfast,\"eggs, sausages, and bread\",Andrew\ne6271,2019/10/12,lunch,sushi,\ne6274,2019/10/14,breakfast,toast and cheese,\ne6277,2019/10/15,dinner,steak,\ne6279,2019/10/16,lunch,a burger,\ne6280,2019/10/16,dinner,sushi,\ne6282,2019/10/17,dinner,sandwich,\"Lydia, Nora, Rylee\"\ne6283,2019/10/18,dinner,a burger,\ne6286,2019/10/19,lunch,chinese food,\"Andrew, Kayden\"\ne6288,2019/10/20,lunch,fish and chips,\ne6289,2019/10/20,dinner,tacos,\ne6297,2019/10/27,dinner,indian food,\"Benjamin, Willow, Jackson, Avery\"\ne6298,2019/10/28,dinner,chinese food,\"Willow, Avery, Jackson, Benjamin\"\ne6301,2019/10/30,breakfast,pancakes,\ne6302,2019/10/31,lunch,sushi,\ne6304,2019/11/02,breakfast,toast and cheese,\ne6305,2019/11/02,dinner,tacos,\ne6307,2019/11/03,breakfast,toast and cheese,\"Emily, Andrew, Kayden, Carter\"\ne6309,2019/11/04,dinner,fish and chips,\ne6310,2019/11/05,breakfast,oatmeal,\ne6312,2019/11/06,breakfast,cereals,\ne6313,2019/11/06,dinner,tacos,\ne6314,2019/11/07,breakfast,\"eggs, sausages, and bread\",\ne6316,2019/11/08,lunch,sandwich,\"Andrew, Emily, Kayden, Carter\"\ne6318,2019/11/09,lunch,chinese food,\ne6323,2019/11/12,breakfast,peanut-butter-jam,\ne6329,2019/11/15,lunch,a burger,Emily\ne6330,2019/11/15,dinner,a burger,\ne6331,2019/11/16,breakfast,toast and cheese,\ne6332,2019/11/17,lunch,a burger,\"Emily, Carter, Andrew\"\ne6334,2019/11/18,breakfast,peanut-butter-jam,\ne6337,2019/11/20,breakfast,\"eggs, sausages, and bread\",\ne6338,2019/11/21,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Avery, Jackson, Willow\"\ne6341,2019/11/22,breakfast,pancakes,\ne6344,2019/11/23,breakfast,cereals,\ne6348,2019/11/24,lunch,indian food,\ne6350,2019/11/25,dinner,a burger,\ne6354,2019/11/27,dinner,a burger,\ne6357,2019/11/29,breakfast,\"eggs, sausages, and bread\",\"Piper, Layla, Avery, Nora, Eva, Nevaeh, Claire, Lydia, Olivia, Kinsley, Hazel, Piper\"\ne6361,2019/12/01,breakfast,pancakes,\"Willow, Benjamin, Jackson, Avery\"\ne6362,2019/12/02,lunch,fish and chips,\"Carter, Emily, Andrew\"\ne6363,2019/12/02,dinner,a burger,\ne6370,2019/12/09,breakfast,cereals,\"Kayden, Emily\"\ne6372,2019/12/10,breakfast,peanut-butter-jam,\"Piper, Hazel\"\ne6377,2019/12/13,lunch,steak,\"Olivia, Piper, Rylee, Kinsley, Piper, Lydia, Claire, Nevaeh, Eva, Layla, Hazel\"\ne6381,2019/12/14,breakfast,peanut-butter-jam,Avery\ne6386,2019/12/18,breakfast,toast and cheese,\ne6388,2019/12/19,lunch,fish and chips,\ne6390,2019/12/20,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden\"\ne6391,2019/12/20,lunch,pasta,\ne6394,2019/12/22,lunch,chinese food,\"Benjamin, Willow, Avery\"\ne6395,2019/12/22,dinner,pasta,\ne6400,2019/12/26,breakfast,oatmeal,\ne6402,2019/12/29,breakfast,cereals,\ne6403,2019/12/29,dinner,pasta,\ne6502,2020/01/03,lunch,pasta,\ne6504,2020/01/05,dinner,sandwich,\ne6511,2020/01/09,lunch,indian food,\ne6513,2020/01/10,breakfast,peanut-butter-jam,\ne6515,2020/01/16,lunch,fish and chips,\ne6520,2020/01/18,breakfast,pancakes,\"Eva, Kinsley, Hazel, Olivia, Claire\"\ne6521,2020/01/19,dinner,sandwich,\"Piper, Eva, Nevaeh, Claire, Avery\"\ne6524,2020/01/22,dinner,sandwich,\"Willow, Avery\"\ne6526,2020/01/23,breakfast,oatmeal,\ne6527,2020/01/24,lunch,indian food,\ne6529,2020/01/25,dinner,sandwich,\ne6530,2020/01/26,lunch,sushi,\"Willow, Avery\"\ne6531,2020/01/26,dinner,chinese food,\ne6534,2020/01/29,lunch,pasta,\ne6538,2020/01/30,breakfast,peanut-butter-jam,\ne6541,2020/01/31,lunch,sushi,\"Emily, Kayden, Andrew\"\ne6544,2020/02/03,dinner,sandwich,\ne6546,2020/02/04,dinner,fish and chips,\"Carter, Andrew, Kayden, Emily\"\ne6547,2020/02/05,dinner,indian food,\ne6548,2020/02/08,breakfast,\"eggs, sausages, and bread\",\ne6549,2020/02/09,lunch,steak,\ne6550,2020/02/10,lunch,sushi,\ne6552,2020/02/12,breakfast,toast and cheese,\ne6553,2020/02/13,dinner,a burger,\"Emily, Carter, Andrew\"\ne6556,2020/02/15,breakfast,pancakes,\ne6559,2020/02/17,breakfast,toast and cheese,\ne6560,2020/02/17,dinner,tacos,\"Kayden, Andrew, Emily\"\ne6563,2020/02/18,breakfast,peanut-butter-jam,\ne6567,2020/02/19,dinner,tacos,\ne6572,2020/02/22,lunch,fish and chips,\"Olivia, Layla, Eva, Lydia, Piper, Avery, Hazel, Nevaeh, Nora, Rylee, Piper\"\ne6575,2020/02/23,breakfast,toast and cheese,\"Avery, Benjamin, Willow, Jackson\"\ne6577,2020/02/24,breakfast,oatmeal,\ne6578,2020/02/24,lunch,indian food,Carter\ne6579,2020/02/25,lunch,fish and chips,\ne6581,2020/02/27,breakfast,toast and cheese,\"Kayden, Carter, Emily, Andrew\"\ne6585,2020/02/28,dinner,a burger,\ne6586,2020/02/29,breakfast,toast and cheese,\"Piper, Hazel, Rylee, Olivia, Nora, Claire, Layla, Avery, Eva, Kinsley, Nevaeh, Lydia\"\ne6591,2020/03/02,breakfast,oatmeal,\ne6592,2020/03/02,dinner,chinese food,\ne6596,2020/03/08,breakfast,\"eggs, sausages, and bread\",\ne6599,2020/03/10,breakfast,cereals,\"Avery, Benjamin\"\ne6604,2020/03/15,lunch,fish and chips,\ne6608,2020/03/19,breakfast,peanut-butter-jam,\ne6614,2020/03/24,dinner,pasta,\ne6615,2020/03/25,breakfast,cereals,\ne6616,2020/03/26,lunch,tacos,\ne6622,2020/03/29,breakfast,oatmeal,\"Kayden, Emily, Carter, Andrew\"\ne6624,2020/03/30,breakfast,peanut-butter-jam,\ne6627,2020/03/31,breakfast,oatmeal,\ne6628,2020/04/02,dinner,tacos,Kayden\ne6631,2020/04/03,lunch,steak,Kayden\ne6632,2020/04/04,breakfast,cereals,\"Emily, Carter, Kayden, Andrew\"\ne6633,2020/04/04,lunch,tacos,Emily\ne6636,2020/04/06,dinner,sushi,\ne6639,2020/04/07,breakfast,toast and cheese,\ne6642,2020/04/08,breakfast,cereals,\ne6643,2020/04/09,lunch,a burger,\"Avery, Claire\"\ne6645,2020/04/11,dinner,pasta,\ne6651,2020/04/15,dinner,sandwich,\ne6652,2020/04/17,breakfast,oatmeal,\"Carter, Emily, Kayden\"\ne6654,2020/04/19,lunch,chinese food,\"Olivia, Hazel, Kinsley\"\ne6656,2020/04/20,dinner,sandwich,\ne6658,2020/04/21,dinner,indian food,\ne6659,2020/04/22,lunch,a burger,\ne6660,2020/04/23,dinner,chinese food,\"Carter, Andrew, Kayden\"\ne6662,2020/04/24,breakfast,pancakes,\ne6665,2020/04/25,dinner,indian food,Carter\ne6667,2020/04/26,lunch,sandwich,\"Lydia, Piper\"\ne6668,2020/04/26,dinner,a burger,\ne6672,2020/04/28,breakfast,\"eggs, sausages, and bread\",Benjamin\ne6673,2020/04/28,dinner,a burger,\ne6676,2020/04/30,dinner,tacos,\"Benjamin, Willow, Avery, Jackson\"\ne6677,2020/05/01,breakfast,\"eggs, sausages, and bread\",\"Layla, Nevaeh, Avery, Kinsley, Rylee, Piper, Eva, Nora\"\ne6678,2020/05/01,dinner,indian food,\ne6679,2020/05/03,dinner,a burger,\ne6681,2020/05/04,lunch,steak,\ne6683,2020/05/06,lunch,chinese food,\ne6684,2020/05/06,dinner,fish and chips,\"Jackson, Avery, Willow, Benjamin\"\ne6685,2020/05/07,lunch,pasta,\"Carter, Kayden, Andrew, Emily\"\ne6687,2020/05/08,lunch,sandwich,\ne6690,2020/05/09,breakfast,cereals,\"Andrew, Carter, Kayden\"\ne6691,2020/05/09,dinner,indian food,\"Claire, Hazel, Olivia, Avery, Layla, Lydia, Piper, Rylee, Eva, Piper, Kinsley, Nora\"\ne6693,2020/05/12,dinner,sushi,\ne6695,2020/05/15,breakfast,\"eggs, sausages, and bread\",\ne6697,2020/05/16,breakfast,pancakes,Andrew\ne6702,2020/05/18,dinner,sandwich,\ne6705,2020/05/20,breakfast,peanut-butter-jam,\ne6706,2020/05/20,dinner,pasta,\"Willow, Jackson, Benjamin, Avery\"\ne6707,2020/05/21,lunch,a burger,\ne6709,2020/05/22,dinner,fish and chips,\ne6711,2020/05/24,dinner,tacos,\"Kayden, Andrew, Emily, Carter\"\ne6716,2020/05/28,lunch,chinese food,\"Carter, Kayden\"\ne6717,2020/05/28,dinner,sushi,\"Olivia, Piper, Hazel, Kinsley, Layla, Claire, Nevaeh, Eva, Nora, Lydia, Avery\"\ne6718,2020/05/30,lunch,chinese food,\ne6724,2020/06/01,dinner,sushi,\ne6726,2020/06/02,breakfast,cereals,\ne6727,2020/06/02,lunch,indian food,\ne6730,2020/06/04,breakfast,\"eggs, sausages, and bread\",\"Emily, Carter, Kayden, Andrew\"\ne6731,2020/06/04,lunch,chinese food,\"Andrew, Carter, Emily\"\ne6734,2020/06/07,lunch,tacos,\ne6736,2020/06/08,lunch,pasta,\ne6739,2020/06/09,lunch,sandwich,Andrew\ne6742,2020/06/10,dinner,steak,\ne6743,2020/06/11,lunch,tacos,\ne6747,2020/06/14,breakfast,cereals,\ne6749,2020/06/15,lunch,a burger,\ne6750,2020/06/15,dinner,tacos,\"Kinsley, Nora\"\ne6752,2020/06/16,breakfast,cereals,\"Jackson, Avery\"\ne6758,2020/06/20,breakfast,toast and cheese,\"Carter, Andrew\"\ne6759,2020/06/21,lunch,tacos,\ne6761,2020/06/23,lunch,chinese food,\ne6762,2020/06/24,breakfast,pancakes,\ne6763,2020/06/24,lunch,steak,\ne6766,2020/06/26,lunch,sandwich,\"Andrew, Emily, Carter, Kayden\"\ne6767,2020/06/26,dinner,steak,\ne6770,2020/06/27,dinner,pasta,\"Andrew, Emily\"\ne6773,2020/06/30,lunch,indian food,\ne6774,2020/06/30,dinner,indian food,\"Carter, Kayden\"\ne6776,2020/07/01,breakfast,toast and cheese,\ne6777,2020/07/01,dinner,pasta,\"Kayden, Carter, Emily, Andrew\"\ne6779,2020/07/02,dinner,pasta,\"Jackson, Benjamin, Avery\"\ne6782,2020/07/04,lunch,sushi,\ne6783,2020/07/05,breakfast,pancakes,Lydia\ne6786,2020/07/06,lunch,steak,\ne6788,2020/07/07,lunch,a burger,\"Kayden, Andrew, Carter, Emily\"\ne6791,2020/07/08,lunch,chinese food,\ne6797,2020/07/15,lunch,indian food,\"Piper, Lydia\"\ne6798,2020/07/16,lunch,sandwich,\"Avery, Rylee, Layla, Piper, Kinsley, Nevaeh, Hazel, Lydia, Eva, Claire, Olivia, Piper, Nora\"\ne6799,2020/07/18,breakfast,\"eggs, sausages, and bread\",\"Eva, Rylee, Olivia, Claire, Nora, Nevaeh, Hazel, Layla, Piper, Piper, Kinsley, Avery, Lydia\"\ne6800,2020/07/18,lunch,pasta,\"Carter, Kayden, Andrew\"\ne6801,2020/07/18,dinner,tacos,\ne6802,2020/07/19,dinner,sushi,\"Kayden, Carter, Emily, Andrew\"\ne6804,2020/07/23,lunch,chinese food,\ne6805,2020/07/24,breakfast,cereals,\ne6808,2020/07/28,breakfast,peanut-butter-jam,\ne6809,2020/07/28,dinner,sandwich,\ne6815,2020/07/31,dinner,indian food,\ne6816,2020/08/01,dinner,a burger,\ne6822,2020/08/06,breakfast,cereals,\"Emily, Andrew, Kayden, Carter\"\ne6823,2020/08/06,lunch,indian food,\"Avery, Jackson, Willow\"\ne6825,2020/08/07,lunch,tacos,\"Eva, Nevaeh, Piper, Piper, Olivia, Nora\"\ne6826,2020/08/07,dinner,tacos,\ne6831,2020/08/11,dinner,a burger,\ne6833,2020/08/15,breakfast,toast and cheese,\ne6836,2020/08/17,lunch,a burger,\ne6837,2020/08/17,dinner,sandwich,\ne6839,2020/08/20,dinner,indian food,\ne6842,2020/08/22,lunch,chinese food,\"Nevaeh, Lydia, Hazel, Kinsley, Claire, Avery, Eva, Olivia, Piper, Layla\"\ne6843,2020/08/22,dinner,sushi,Emily\ne6844,2020/08/24,dinner,tacos,\ne6845,2020/08/25,breakfast,pancakes,\ne6846,2020/08/25,lunch,sandwich,Andrew\ne6847,2020/08/26,dinner,a burger,\"Emily, Kayden\"\ne6850,2020/08/28,dinner,chinese food,\ne6852,2020/08/30,dinner,chinese food,Andrew\ne6855,2020/08/31,lunch,tacos,\"Avery, Benjamin\"\ne6856,2020/09/01,dinner,a burger,\ne6858,2020/09/02,lunch,chinese food,\ne6861,2020/09/04,dinner,sandwich,\ne6862,2020/09/05,breakfast,peanut-butter-jam,\ne6863,2020/09/05,dinner,pasta,Kayden\ne6864,2020/09/07,dinner,sandwich,\ne6867,2020/09/08,breakfast,pancakes,Andrew\ne6868,2020/09/08,lunch,pasta,\ne6869,2020/09/08,dinner,indian food,\ne6871,2020/09/10,dinner,sushi,\ne6876,2020/09/13,breakfast,peanut-butter-jam,\ne6877,2020/09/13,dinner,sandwich,\"Hazel, Piper, Avery, Eva, Piper, Olivia, Rylee, Claire, Kinsley, Nevaeh\"\ne6878,2020/09/14,dinner,chinese food,\ne6879,2020/09/15,breakfast,oatmeal,\ne6880,2020/09/15,dinner,sandwich,\ne6882,2020/09/16,lunch,steak,\"Rylee, Layla, Eva, Claire, Avery, Olivia, Piper, Piper, Kinsley, Nevaeh, Nora, Hazel, Lydia\"\ne6883,2020/09/16,dinner,pasta,\"Nevaeh, Eva, Avery, Piper, Claire, Nora\"\ne6884,2020/09/17,lunch,sushi,\ne6888,2020/09/19,dinner,pasta,\ne6894,2020/09/24,lunch,tacos,\ne6896,2020/09/25,lunch,indian food,\ne6898,2020/09/27,breakfast,peanut-butter-jam,\ne6900,2020/09/28,dinner,pasta,\ne6903,2020/09/30,dinner,pasta,\"Hazel, Lydia, Piper, Nevaeh, Layla, Eva, Avery, Claire, Nora, Kinsley, Olivia, Rylee, Piper\"\ne6904,2020/10/01,breakfast,toast and cheese,\"Emily, Carter\"\ne6906,2020/10/03,dinner,tacos,\ne6910,2020/10/07,lunch,chinese food,\ne6913,2020/10/08,dinner,sandwich,\ne6917,2020/10/11,dinner,fish and chips,Carter\ne6921,2020/10/13,dinner,a burger,\"Olivia, Claire, Rylee, Nevaeh\"\ne6924,2020/10/15,lunch,chinese food,Emily\ne6927,2020/10/18,breakfast,toast and cheese,\ne6928,2020/10/19,breakfast,peanut-butter-jam,\ne6929,2020/10/20,lunch,pasta,Avery\ne6933,2020/10/22,dinner,fish and chips,\ne6944,2020/10/27,dinner,pasta,Emily\ne6947,2020/10/28,breakfast,oatmeal,\ne6948,2020/10/29,breakfast,\"eggs, sausages, and bread\",\"Hazel, Olivia, Lydia\"\ne6949,2020/10/29,lunch,steak,\ne6950,2020/10/29,dinner,fish and chips,\ne6951,2020/10/30,breakfast,\"eggs, sausages, and bread\",Kayden\ne6953,2020/10/31,breakfast,\"eggs, sausages, and bread\",Benjamin\ne6954,2020/10/31,lunch,sushi,\"Willow, Jackson, Avery\"\ne6957,2020/11/02,dinner,indian food,\ne6960,2020/11/04,breakfast,pancakes,\ne6961,2020/11/04,lunch,tacos,\"Layla, Hazel, Nora, Avery\"\ne6965,2020/11/07,lunch,steak,\ne6966,2020/11/07,dinner,tacos,\ne6968,2020/11/08,breakfast,pancakes,\ne6970,2020/11/09,lunch,tacos,\"Nora, Nevaeh, Piper, Layla, Piper, Kinsley, Lydia\"\ne6973,2020/11/11,lunch,sandwich,\"Lydia, Hazel, Olivia, Eva, Nora, Rylee, Piper, Kinsley, Avery, Layla, Nevaeh\"\ne6974,2020/11/12,dinner,chinese food,\ne6980,2020/11/15,dinner,chinese food,Andrew\ne6982,2020/11/17,lunch,a burger,\ne6983,2020/11/17,dinner,fish and chips,\ne6985,2020/11/18,lunch,chinese food,\"Andrew, Carter, Emily, Kayden\"\ne6991,2020/11/24,breakfast,toast and cheese,\ne6993,2020/11/25,lunch,a burger,\ne7000,2020/11/30,breakfast,toast and cheese,\"Willow, Avery\"\ne7002,2020/12/03,dinner,indian food,\ne7004,2020/12/05,dinner,fish and chips,\"Jackson, Benjamin, Willow, Avery\"\ne7006,2020/12/07,breakfast,pancakes,\ne7007,2020/12/07,lunch,sushi,\"Claire, Hazel, Olivia, Nevaeh, Avery, Lydia, Nora, Piper\"\ne7008,2020/12/08,lunch,chinese food,\ne7010,2020/12/10,breakfast,toast and cheese,\ne7011,2020/12/10,lunch,chinese food,\"Piper, Avery, Claire, Kinsley, Eva, Nora, Layla, Nevaeh, Hazel, Piper, Lydia, Olivia\"\ne7012,2020/12/10,dinner,a burger,\ne7015,2020/12/11,lunch,sushi,\ne7016,2020/12/11,dinner,sushi,\"Benjamin, Jackson, Avery, Willow\"\ne7018,2020/12/12,lunch,chinese food,\"Hazel, Eva, Rylee, Lydia, Piper, Nora, Avery, Claire, Layla, Kinsley, Nevaeh, Piper\"\ne7020,2020/12/14,breakfast,\"eggs, sausages, and bread\",\ne7023,2020/12/16,breakfast,cereals,\"Piper, Eva, Hazel, Nora, Lydia, Kinsley, Claire\"\ne7024,2020/12/16,dinner,tacos,\"Andrew, Kayden, Carter\"\ne7027,2020/12/17,breakfast,toast and cheese,\ne7028,2020/12/18,dinner,chinese food,\ne7029,2020/12/20,breakfast,oatmeal,Carter\ne7030,2020/12/20,dinner,a burger,\"Willow, Jackson, Avery\"\ne7033,2020/12/23,lunch,pasta,Benjamin\ne7034,2020/12/23,dinner,tacos,\ne7037,2020/12/26,dinner,tacos,\"Kayden, Andrew\"\ne7041,2020/12/27,dinner,steak,\"Avery, Eva, Olivia, Kinsley\"\ne7043,2020/12/30,breakfast,\"eggs, sausages, and bread\",Emily\ne7044,2020/12/30,lunch,pasta,\"Eva, Claire, Hazel, Nevaeh, Avery, Rylee, Kinsley, Lydia, Piper, Nora, Layla, Piper\"\ne7047,2020/12/31,dinner,fish and chips,\"Avery, Nevaeh, Piper, Claire, Lydia, Piper, Hazel, Olivia, Nora, Eva, Rylee, Layla\"\ne7141,2021/01/01,lunch,pasta,\"Nevaeh, Kinsley, Avery, Eva, Rylee, Layla, Claire\"\ne7144,2021/01/03,breakfast,toast and cheese,\ne7145,2021/01/03,dinner,a burger,\ne7150,2021/01/08,breakfast,cereals,\ne7151,2021/01/08,dinner,sandwich,\ne7154,2021/01/10,lunch,a burger,\ne7155,2021/01/10,dinner,pasta,\ne7157,2021/01/11,breakfast,toast and cheese,\ne7159,2021/01/13,dinner,sushi,\"Carter, Kayden, Andrew\"\ne7162,2021/01/15,lunch,steak,\ne7165,2021/01/16,breakfast,toast and cheese,\ne7170,2021/01/19,breakfast,pancakes,\"Willow, Benjamin\"\ne7172,2021/01/20,dinner,indian food,\"Benjamin, Avery, Willow, Jackson\"\ne7173,2021/01/22,dinner,sushi,\ne7174,2021/01/23,dinner,pasta,\ne7175,2021/01/24,breakfast,pancakes,\ne7178,2021/01/26,dinner,steak,\"Kayden, Carter\"\ne7179,2021/01/27,lunch,steak,\"Carter, Kayden, Emily\"\ne7181,2021/01/28,breakfast,peanut-butter-jam,\ne7183,2021/01/29,breakfast,toast and cheese,Emily\ne7184,2021/01/29,lunch,sushi,\"Andrew, Carter\"\ne7192,2021/02/02,breakfast,peanut-butter-jam,Jackson\ne7199,2021/02/05,dinner,a burger,\ne7200,2021/02/06,dinner,steak,\"Andrew, Kayden, Emily\"\ne7201,2021/02/07,dinner,sandwich,\"Andrew, Kayden, Carter\"\ne7202,2021/02/08,breakfast,toast and cheese,\"Jackson, Avery, Willow, Benjamin\"\ne7204,2021/02/09,breakfast,oatmeal,\ne7205,2021/02/09,lunch,sushi,Emily\ne7209,2021/02/11,breakfast,peanut-butter-jam,Andrew\ne7212,2021/02/14,dinner,a burger,\ne7216,2021/02/16,lunch,pasta,\ne7218,2021/02/18,lunch,indian food,\ne7219,2021/02/18,dinner,sandwich,\ne7223,2021/02/22,lunch,pasta,\ne7224,2021/02/23,breakfast,peanut-butter-jam,\ne7228,2021/02/25,lunch,sushi,\ne7230,2021/02/26,dinner,chinese food,\ne7234,2021/02/28,lunch,tacos,\ne7235,2021/03/01,breakfast,peanut-butter-jam,\ne7238,2021/03/04,lunch,tacos,\"Nora, Rylee, Nevaeh, Layla, Eva\"\ne7239,2021/03/05,lunch,sandwich,\ne7241,2021/03/06,breakfast,cereals,\ne7242,2021/03/07,breakfast,cereals,\ne7244,2021/03/08,dinner,pasta,\ne7246,2021/03/09,dinner,tacos,\"Avery, Benjamin, Willow\"\ne7248,2021/03/10,breakfast,cereals,\"Emily, Carter\"\ne7249,2021/03/10,dinner,sandwich,\ne7252,2021/03/11,breakfast,oatmeal,\ne7253,2021/03/11,lunch,chinese food,\"Avery, Claire\"\ne7254,2021/03/13,breakfast,oatmeal,\"Kayden, Emily\"\ne7258,2021/03/15,breakfast,toast and cheese,\"Andrew, Carter, Kayden\"\ne7260,2021/03/16,breakfast,oatmeal,\"Hazel, Eva, Layla, Lydia, Claire, Kinsley\"\ne7263,2021/03/17,lunch,sandwich,\ne7264,2021/03/17,dinner,indian food,\ne7266,2021/03/18,breakfast,pancakes,\ne7270,2021/03/19,breakfast,peanut-butter-jam,\ne7271,2021/03/19,dinner,pasta,\ne7278,2021/03/26,lunch,fish and chips,\ne7281,2021/03/27,lunch,a burger,\ne7283,2021/03/28,lunch,sandwich,\ne7286,2021/03/30,dinner,indian food,\ne7288,2021/03/31,dinner,steak,\ne7290,2021/04/02,lunch,fish and chips,Andrew\ne7292,2021/04/03,breakfast,\"eggs, sausages, and bread\",\ne7293,2021/04/03,dinner,chinese food,\ne7296,2021/04/04,lunch,pasta,\ne7299,2021/04/07,lunch,sushi,\ne7301,2021/04/08,dinner,chinese food,\ne7304,2021/04/11,lunch,indian food,\ne7306,2021/04/12,dinner,sandwich,\ne7307,2021/04/13,lunch,tacos,Emily\ne7308,2021/04/14,breakfast,peanut-butter-jam,\ne7309,2021/04/14,lunch,chinese food,\ne7313,2021/04/18,dinner,a burger,\ne7316,2021/04/20,breakfast,\"eggs, sausages, and bread\",\"Jackson, Benjamin, Avery, Willow\"\ne7319,2021/04/21,lunch,sandwich,Emily\ne7320,2021/04/22,breakfast,cereals,\ne7323,2021/04/25,breakfast,pancakes,\ne7327,2021/04/26,breakfast,peanut-butter-jam,\ne7328,2021/04/26,lunch,a burger,\ne7333,2021/04/30,breakfast,cereals,\"Emily, Carter, Kayden\"\ne7337,2021/05/02,dinner,tacos,\"Olivia, Piper, Kinsley, Avery, Nora, Piper, Claire\"\ne7339,2021/05/04,dinner,fish and chips,\"Carter, Kayden, Andrew, Emily\"\ne7341,2021/05/05,lunch,a burger,\ne7344,2021/05/06,lunch,sandwich,\"Andrew, Emily\"\ne7349,2021/05/10,lunch,tacos,Carter\ne7353,2021/05/12,lunch,sushi,\ne7354,2021/05/13,dinner,steak,\ne7357,2021/05/14,dinner,pasta,\ne7359,2021/05/15,breakfast,\"eggs, sausages, and bread\",\ne7360,2021/05/15,lunch,steak,\ne7361,2021/05/18,dinner,steak,\ne7364,2021/05/19,breakfast,pancakes,\ne7369,2021/05/24,lunch,sandwich,\ne7373,2021/05/25,lunch,a burger,\"Andrew, Kayden, Emily, Carter\"\ne7376,2021/05/26,dinner,a burger,\ne7380,2021/06/02,lunch,tacos,\"Andrew, Kayden, Emily\"\ne7386,2021/06/07,breakfast,toast and cheese,\ne7387,2021/06/07,lunch,sushi,\"Andrew, Emily\"\ne7389,2021/06/09,lunch,tacos,\ne7390,2021/06/10,breakfast,pancakes,Willow\ne7391,2021/06/10,dinner,chinese food,\ne7396,2021/06/15,lunch,sushi,\ne7398,2021/06/16,lunch,tacos,\"Willow, Benjamin\"\ne7402,2021/06/18,lunch,fish and chips,\ne7403,2021/06/20,lunch,chinese food,\ne7406,2021/06/23,breakfast,oatmeal,\"Andrew, Emily\"\ne7410,2021/06/25,breakfast,cereals,\"Willow, Avery\"\ne7411,2021/06/25,lunch,tacos,\ne7420,2021/07/01,breakfast,\"eggs, sausages, and bread\",\ne7422,2021/07/02,breakfast,oatmeal,\ne7423,2021/07/02,dinner,a burger,Andrew\ne7425,2021/07/03,lunch,steak,\"Andrew, Carter, Kayden, Emily\"\ne7426,2021/07/03,dinner,tacos,\ne7428,2021/07/04,lunch,tacos,\"Emily, Carter, Andrew\"\ne7432,2021/07/06,lunch,indian food,Carter\ne7435,2021/07/07,dinner,chinese food,Piper\ne7438,2021/07/10,lunch,tacos,\"Kayden, Emily, Andrew, Carter\"\ne7441,2021/07/11,lunch,steak,\"Emily, Carter, Kayden\"\ne7448,2021/07/17,dinner,chinese food,\ne7450,2021/07/18,dinner,sushi,\ne7452,2021/07/20,lunch,sandwich,\ne7455,2021/07/21,lunch,sandwich,\"Emily, Andrew, Carter\"\ne7456,2021/07/22,lunch,sushi,\ne7457,2021/07/23,dinner,tacos,\ne7458,2021/07/24,lunch,pasta,\ne7459,2021/07/24,dinner,pasta,\ne7460,2021/07/25,breakfast,\"eggs, sausages, and bread\",\ne7463,2021/07/26,lunch,steak,\ne7464,2021/07/26,dinner,tacos,\"Emily, Carter, Andrew, Kayden\"\ne7465,2021/07/27,lunch,steak,\"Willow, Jackson, Benjamin, Avery\"\ne7468,2021/07/28,dinner,sushi,\ne7470,2021/07/31,lunch,chinese food,\"Andrew, Emily\"\ne7471,2021/07/31,dinner,fish and chips,\ne7474,2021/08/01,breakfast,cereals,\"Carter, Kayden, Emily\"\ne7476,2021/08/02,breakfast,oatmeal,\"Carter, Kayden, Andrew\"\ne7477,2021/08/02,dinner,chinese food,\"Nevaeh, Lydia, Eva, Hazel, Piper, Rylee\"\ne7479,2021/08/03,lunch,fish and chips,\ne7483,2021/08/07,breakfast,oatmeal,\ne7484,2021/08/07,dinner,steak,Emily\ne7487,2021/08/08,lunch,indian food,\"Kayden, Andrew\"\ne7490,2021/08/11,breakfast,oatmeal,\"Andrew, Carter, Emily, Kayden\"\ne7491,2021/08/12,breakfast,toast and cheese,\ne7494,2021/08/13,breakfast,cereals,\"Kayden, Andrew, Carter, Emily\"\ne7497,2021/08/15,dinner,indian food,\ne7499,2021/08/16,dinner,indian food,\ne7509,2021/08/26,dinner,indian food,\ne7512,2021/08/28,breakfast,oatmeal,Emily\ne7513,2021/08/28,lunch,indian food,\ne7514,2021/08/29,dinner,indian food,\"Emily, Carter, Kayden\"\ne7516,2021/08/30,lunch,tacos,\ne7517,2021/08/31,lunch,tacos,\ne7519,2021/09/01,lunch,sandwich,\ne7524,2021/09/04,lunch,sandwich,\"Carter, Emily, Andrew, Kayden\"\ne7529,2021/09/07,breakfast,peanut-butter-jam,\ne7531,2021/09/09,breakfast,pancakes,Kayden\ne7533,2021/09/10,breakfast,peanut-butter-jam,Willow\ne7534,2021/09/11,dinner,indian food,\ne7537,2021/09/12,breakfast,\"eggs, sausages, and bread\",\ne7538,2021/09/12,dinner,chinese food,\ne7540,2021/09/13,lunch,a burger,\ne7542,2021/09/14,breakfast,peanut-butter-jam,\ne7545,2021/09/16,breakfast,pancakes,\"Lydia, Piper, Eva, Olivia, Hazel, Piper, Nevaeh\"\ne7548,2021/09/18,lunch,steak,\"Benjamin, Jackson, Avery\"\ne7550,2021/09/19,lunch,sushi,\ne7552,2021/09/20,breakfast,peanut-butter-jam,\ne7553,2021/09/21,breakfast,\"eggs, sausages, and bread\",\"Carter, Emily, Kayden\"\ne7554,2021/09/21,lunch,a burger,\"Willow, Benjamin, Jackson\"\ne7556,2021/09/23,breakfast,oatmeal,\ne7557,2021/09/23,lunch,chinese food,\ne7559,2021/09/24,lunch,steak,Avery\ne7560,2021/09/24,dinner,chinese food,Jackson\ne7562,2021/09/25,lunch,sushi,\ne7563,2021/09/26,breakfast,toast and cheese,\ne7568,2021/09/29,dinner,a burger,\ne7572,2021/10/01,breakfast,toast and cheese,\ne7573,2021/10/02,dinner,fish and chips,\ne7574,2021/10/03,lunch,fish and chips,\ne7575,2021/10/04,breakfast,peanut-butter-jam,\ne7578,2021/10/05,breakfast,pancakes,\ne7579,2021/10/05,lunch,sushi,\"Emily, Kayden\"\ne7580,2021/10/05,dinner,sushi,\ne7581,2021/10/06,breakfast,peanut-butter-jam,\ne7584,2021/10/07,dinner,tacos,\"Carter, Emily, Andrew\"\ne7587,2021/10/12,breakfast,oatmeal,\"Eva, Rylee\"\ne7588,2021/10/12,dinner,fish and chips,\ne7591,2021/10/13,breakfast,pancakes,Andrew\ne7592,2021/10/14,lunch,fish and chips,\"Kayden, Emily\"\ne7594,2021/10/17,lunch,a burger,\"Emily, Kayden, Carter\"\ne7595,2021/10/18,breakfast,cereals,\ne7596,2021/10/18,lunch,fish and chips,\ne7597,2021/10/18,dinner,fish and chips,\ne7598,2021/10/21,lunch,fish and chips,\"Kayden, Carter\"\ne7601,2021/10/23,lunch,tacos,\ne7603,2021/10/24,lunch,sushi,\ne7604,2021/10/24,dinner,sandwich,\ne7608,2021/10/26,breakfast,peanut-butter-jam,\ne7609,2021/10/26,lunch,sandwich,\ne7611,2021/10/27,breakfast,pancakes,\ne7612,2021/10/28,breakfast,peanut-butter-jam,\"Carter, Emily\"\ne7613,2021/10/28,dinner,chinese food,\"Andrew, Emily\"\ne7616,2021/10/30,dinner,indian food,\ne7619,2021/10/31,dinner,chinese food,\ne7624,2021/11/03,dinner,pasta,\ne7625,2021/11/04,breakfast,oatmeal,\"Andrew, Emily\"\ne7628,2021/11/05,breakfast,peanut-butter-jam,\"Jackson, Benjamin, Avery\"\ne7630,2021/11/06,breakfast,peanut-butter-jam,\ne7632,2021/11/07,lunch,a burger,\ne7633,2021/11/07,dinner,sushi,\ne7637,2021/11/09,breakfast,peanut-butter-jam,\ne7639,2021/11/10,lunch,tacos,\"Kayden, Carter, Emily, Andrew\"\ne7640,2021/11/11,dinner,sushi,\"Andrew, Emily, Carter\"\ne7643,2021/11/13,dinner,chinese food,\ne7644,2021/11/14,lunch,fish and chips,\ne7645,2021/11/14,dinner,indian food,\ne7649,2021/11/17,breakfast,pancakes,\ne7651,2021/11/18,lunch,sandwich,\ne7652,2021/11/18,dinner,sushi,\ne7660,2021/11/26,lunch,sandwich,\ne7662,2021/11/27,breakfast,toast and cheese,\ne7663,2021/11/27,lunch,sushi,Benjamin\ne7664,2021/11/29,lunch,fish and chips,\ne7665,2021/11/29,dinner,sandwich,\ne7667,2021/12/02,lunch,a burger,\"Carter, Kayden, Emily, Andrew\"\ne7668,2021/12/02,dinner,a burger,\"Avery, Benjamin, Jackson, Willow\"\ne7670,2021/12/03,lunch,sushi,\ne7673,2021/12/05,lunch,pasta,\ne7674,2021/12/05,dinner,chinese food,\"Jackson, Willow, Benjamin\"\ne7676,2021/12/06,lunch,tacos,\ne7678,2021/12/07,breakfast,cereals,\"Lydia, Olivia, Layla, Hazel, Claire, Piper, Piper, Kinsley, Eva, Avery, Rylee, Nora, Nevaeh\"\ne7682,2021/12/12,dinner,chinese food,\ne7687,2021/12/15,breakfast,oatmeal,\ne7689,2021/12/16,breakfast,\"eggs, sausages, and bread\",\ne7691,2021/12/17,breakfast,toast and cheese,\ne7696,2021/12/21,dinner,indian food,\ne7697,2021/12/22,breakfast,toast and cheese,\"Andrew, Emily, Carter\"\ne7698,2021/12/22,lunch,sandwich,\ne7701,2021/12/23,breakfast,peanut-butter-jam,\ne7702,2021/12/24,dinner,steak,\ne7706,2021/12/28,breakfast,cereals,\"Andrew, Emily\"\ne7708,2021/12/29,breakfast,oatmeal,\ne7709,2021/12/29,dinner,steak,\"Kinsley, Rylee, Piper, Avery, Lydia, Nevaeh, Piper, Hazel, Olivia, Layla\"\ne7797,2022/01/04,dinner,steak,\"Emily, Carter\"\ne7798,2022/01/05,breakfast,toast and cheese,\ne7799,2022/01/05,lunch,fish and chips,\"Benjamin, Avery\"\ne7800,2022/01/06,breakfast,cereals,\ne7802,2022/01/07,dinner,sushi,Olivia\ne7804,2022/01/08,lunch,fish and chips,\ne7808,2022/01/10,breakfast,pancakes,\ne7809,2022/01/10,lunch,a burger,\"Avery, Nevaeh, Eva, Rylee, Kinsley, Nora, Olivia, Piper, Lydia, Piper\"\ne7810,2022/01/10,dinner,sandwich,\ne7812,2022/01/12,dinner,sandwich,\"Hazel, Layla, Avery\"\ne7816,2022/01/16,breakfast,peanut-butter-jam,\ne7818,2022/01/18,breakfast,\"eggs, sausages, and bread\",\ne7819,2022/01/18,dinner,a burger,\ne7824,2022/01/20,breakfast,cereals,Emily\ne7826,2022/01/21,lunch,steak,\"Carter, Emily, Andrew, Kayden\"\ne7827,2022/01/22,dinner,fish and chips,\"Kayden, Andrew\"\ne7835,2022/01/29,lunch,indian food,\ne7837,2022/01/31,breakfast,pancakes,\ne7844,2022/02/03,breakfast,cereals,Nora\ne7845,2022/02/03,lunch,chinese food,Willow\ne7847,2022/02/06,lunch,a burger,\ne7848,2022/02/09,breakfast,oatmeal,\ne7853,2022/02/13,breakfast,\"eggs, sausages, and bread\",\"Andrew, Carter\"\ne7855,2022/02/14,dinner,tacos,\ne7857,2022/02/15,lunch,pasta,Avery\ne7860,2022/02/17,breakfast,cereals,\"Avery, Benjamin, Willow, Jackson\"\ne7861,2022/02/18,breakfast,cereals,\ne7864,2022/02/19,lunch,tacos,\ne7865,2022/02/20,breakfast,pancakes,\ne7869,2022/02/24,breakfast,\"eggs, sausages, and bread\",\"Andrew, Emily\"\ne7872,2022/02/27,dinner,pasta,\"Benjamin, Willow, Avery, Jackson\"\ne7874,2022/02/28,lunch,fish and chips,\ne7879,2022/03/03,lunch,sushi,\"Jackson, Willow\"\ne7885,2022/03/08,lunch,steak,\ne7889,2022/03/12,dinner,fish and chips,\"Claire, Hazel, Piper, Nevaeh\"\ne7892,2022/03/14,breakfast,\"eggs, sausages, and bread\",\"Nevaeh, Hazel, Olivia\"\ne7894,2022/03/15,lunch,sandwich,\ne7896,2022/03/16,breakfast,cereals,\ne7897,2022/03/16,dinner,indian food,\ne7904,2022/03/20,breakfast,cereals,\ne7907,2022/03/23,dinner,pasta,\"Kayden, Emily, Carter\"\ne7909,2022/03/25,breakfast,cereals,\ne7911,2022/03/27,dinner,sandwich,\"Piper, Lydia, Layla, Olivia, Claire, Rylee\"\ne7913,2022/03/29,lunch,indian food,\"Jackson, Willow, Benjamin, Avery\"\ne7915,2022/03/31,breakfast,peanut-butter-jam,\ne7918,2022/04/04,dinner,a burger,\ne7921,2022/04/05,dinner,fish and chips,\ne7923,2022/04/06,lunch,indian food,\"Avery, Jackson, Willow\"\ne7924,2022/04/07,dinner,indian food,\"Olivia, Hazel, Kinsley, Eva, Layla, Nora, Claire, Piper\"\ne7926,2022/04/08,dinner,chinese food,\ne7928,2022/04/11,breakfast,oatmeal,\"Benjamin, Jackson, Willow, Avery\"\ne7929,2022/04/11,dinner,fish and chips,Avery\ne7932,2022/04/12,lunch,tacos,\ne7936,2022/04/15,breakfast,cereals,\"Emily, Carter, Andrew\"\ne7937,2022/04/15,dinner,indian food,\"Kayden, Andrew, Carter, Emily\"\ne7941,2022/04/17,breakfast,peanut-butter-jam,\ne7942,2022/04/17,lunch,pasta,\"Carter, Emily, Kayden, Andrew\"\ne7944,2022/04/18,dinner,sushi,\ne7945,2022/04/19,lunch,pasta,\ne7946,2022/04/19,dinner,chinese food,\ne7957,2022/05/01,lunch,sandwich,\ne7959,2022/05/03,lunch,steak,Carter\ne7960,2022/05/03,dinner,fish and chips,\"Carter, Emily, Andrew, Kayden\"\ne7961,2022/05/05,dinner,steak,\"Kinsley, Claire, Lydia, Hazel, Olivia\"\ne7962,2022/05/06,lunch,chinese food,\"Kayden, Carter\"\ne7964,2022/05/07,breakfast,pancakes,\ne7965,2022/05/07,dinner,fish and chips,\ne7966,2022/05/08,breakfast,\"eggs, sausages, and bread\",\"Kayden, Emily\"\ne7967,2022/05/08,dinner,tacos,\ne7971,2022/05/10,lunch,chinese food,\"Carter, Kayden, Andrew\"\ne7972,2022/05/10,dinner,tacos,\ne7976,2022/05/11,lunch,chinese food,\ne7977,2022/05/11,dinner,pasta,\ne7979,2022/05/13,dinner,pasta,\ne7985,2022/05/16,lunch,sandwich,\"Emily, Kayden\"\ne7988,2022/05/17,breakfast,oatmeal,\ne7990,2022/05/19,breakfast,\"eggs, sausages, and bread\",\ne7992,2022/05/21,breakfast,\"eggs, sausages, and bread\",\ne7995,2022/05/22,breakfast,oatmeal,\ne7996,2022/05/23,dinner,pasta,\"Emily, Andrew, Kayden\"\ne8000,2022/05/26,breakfast,cereals,\ne8001,2022/05/28,dinner,a burger,\"Kayden, Andrew, Carter\"\ne8002,2022/05/29,breakfast,toast and cheese,\ne8005,2022/05/30,lunch,fish and chips,\ne8007,2022/05/31,breakfast,toast and cheese,\ne8008,2022/05/31,dinner,chinese food,\ne8010,2022/06/02,breakfast,toast and cheese,\ne8015,2022/06/05,breakfast,\"eggs, sausages, and bread\",\"Carter, Kayden, Emily\"\ne8016,2022/06/05,dinner,fish and chips,\"Eva, Piper, Nevaeh, Piper, Kinsley, Layla, Olivia, Nora, Lydia, Avery\"\ne8018,2022/06/06,lunch,fish and chips,Kayden\ne8022,2022/06/10,breakfast,pancakes,\ne8024,2022/06/11,breakfast,cereals,\"Piper, Nevaeh, Piper, Lydia, Layla, Olivia, Rylee, Nora, Eva, Claire\"\ne8025,2022/06/12,breakfast,cereals,Eva\ne8026,2022/06/13,dinner,pasta,\"Avery, Willow\"\ne8028,2022/06/14,lunch,fish and chips,Piper\ne8030,2022/06/16,lunch,sandwich,\"Emily, Andrew\"\ne8035,2022/06/25,lunch,sandwich,\"Claire, Eva, Layla, Kinsley, Avery, Rylee, Piper, Piper, Hazel\"\ne8036,2022/06/26,breakfast,cereals,\ne8037,2022/06/26,lunch,indian food,\"Emily, Kayden, Andrew\"\ne8038,2022/06/26,dinner,a burger,\ne8040,2022/06/27,breakfast,peanut-butter-jam,\"Kinsley, Nevaeh, Eva, Hazel, Olivia, Claire, Avery, Piper, Rylee, Nora, Piper, Lydia\"\ne8042,2022/06/29,breakfast,toast and cheese,\ne8043,2022/06/30,breakfast,peanut-butter-jam,\ne8045,2022/07/01,breakfast,peanut-butter-jam,\"Carter, Andrew, Emily, Kayden\"\ne8046,2022/07/01,dinner,pasta,Andrew\ne8052,2022/07/05,lunch,tacos,\ne8055,2022/07/06,breakfast,\"eggs, sausages, and bread\",\ne8061,2022/07/09,dinner,fish and chips,\ne8063,2022/07/10,breakfast,toast and cheese,\ne8064,2022/07/11,breakfast,\"eggs, sausages, and bread\",\ne8071,2022/07/17,dinner,fish and chips,\ne8072,2022/07/19,dinner,fish and chips,\ne8078,2022/07/24,lunch,tacos,Avery\ne8082,2022/07/26,dinner,sushi,\"Andrew, Kayden, Emily\"\ne8085,2022/07/28,dinner,a burger,\"Andrew, Kayden, Carter, Emily\"\ne8086,2022/07/29,breakfast,peanut-butter-jam,Benjamin\ne8089,2022/08/02,lunch,sushi,\ne8091,2022/08/04,dinner,a burger,\"Avery, Jackson, Benjamin, Willow\"\ne8094,2022/08/06,breakfast,pancakes,\ne8095,2022/08/06,lunch,sushi,Emily\ne8096,2022/08/06,dinner,a burger,\"Andrew, Carter\"\ne8097,2022/08/08,breakfast,\"eggs, sausages, and bread\",Andrew\ne8098,2022/08/08,dinner,chinese food,\ne8102,2022/08/10,lunch,indian food,\"Jackson, Willow, Benjamin, Avery\"\ne8103,2022/08/11,lunch,sushi,\"Carter, Andrew, Emily, Kayden\"\ne8109,2022/08/15,dinner,a burger,\ne8110,2022/08/18,dinner,steak,\"Layla, Eva, Olivia, Rylee, Claire, Nevaeh, Kinsley, Nora, Lydia, Hazel, Avery\"\ne8111,2022/08/19,breakfast,\"eggs, sausages, and bread\",\ne8112,2022/08/19,lunch,a burger,\"Claire, Nevaeh, Hazel, Avery, Eva, Kinsley, Piper, Olivia, Piper\"\ne8114,2022/08/21,dinner,steak,\ne8117,2022/08/25,lunch,tacos,\ne8120,2022/08/27,lunch,chinese food,\"Rylee, Avery, Lydia, Piper, Claire, Layla, Nevaeh, Piper, Olivia, Hazel, Kinsley, Nora, Eva\"\ne8121,2022/08/27,dinner,a burger,\"Benjamin, Avery\"\ne8128,2022/08/30,breakfast,pancakes,\ne8129,2022/08/30,dinner,chinese food,\ne8131,2022/08/31,breakfast,pancakes,\"Benjamin, Avery, Jackson, Willow\"\ne8132,2022/09/01,breakfast,peanut-butter-jam,\ne8133,2022/09/01,lunch,a burger,\"Carter, Kayden\"\ne8135,2022/09/02,lunch,tacos,\ne8138,2022/09/03,lunch,chinese food,\"Emily, Andrew\"\ne8142,2022/09/06,lunch,sandwich,\"Piper, Kinsley, Piper, Olivia\"\ne8143,2022/09/06,dinner,indian food,Emily\ne8144,2022/09/07,breakfast,\"eggs, sausages, and bread\",\ne8146,2022/09/08,lunch,steak,\"Jackson, Avery\"\ne8147,2022/09/09,dinner,indian food,Emily\ne8150,2022/09/10,breakfast,cereals,\ne8152,2022/09/11,lunch,sandwich,\"Avery, Eva, Nevaeh, Nora, Hazel, Claire, Piper, Piper, Olivia, Kinsley, Rylee\"\ne8158,2022/09/14,lunch,pasta,\ne8160,2022/09/15,lunch,a burger,\"Nora, Eva, Avery, Hazel, Rylee, Piper, Layla, Piper\"\ne8163,2022/09/19,breakfast,toast and cheese,\ne8165,2022/09/20,lunch,steak,\ne8167,2022/09/21,dinner,chinese food,\"Emily, Kayden, Andrew\"\ne8172,2022/09/23,lunch,tacos,\ne8174,2022/09/24,dinner,sushi,\ne8176,2022/09/25,breakfast,cereals,\ne8177,2022/09/26,breakfast,toast and cheese,\ne8178,2022/09/26,lunch,fish and chips,\"Carter, Emily\"\ne8180,2022/09/27,breakfast,oatmeal,\ne8183,2022/09/29,breakfast,oatmeal,\ne8184,2022/09/30,lunch,pasta,\ne8185,2022/09/30,dinner,steak,\ne8186,2022/10/01,lunch,a burger,\ne8188,2022/10/02,lunch,tacos,\ne8191,2022/10/05,dinner,pasta,\"Andrew, Emily, Kayden\"\ne8201,2022/10/10,breakfast,\"eggs, sausages, and bread\",\ne8204,2022/10/12,lunch,indian food,\"Andrew, Kayden\"\ne8205,2022/10/12,dinner,sandwich,\ne8207,2022/10/13,dinner,a burger,\ne8208,2022/10/14,lunch,a burger,\"Layla, Eva, Lydia, Nora, Kinsley, Piper, Avery\"\ne8209,2022/10/15,breakfast,peanut-butter-jam,\ne8210,2022/10/15,dinner,tacos,\ne8213,2022/10/19,breakfast,cereals,\ne8214,2022/10/19,lunch,chinese food,\ne8217,2022/10/20,dinner,tacos,\ne8219,2022/10/21,lunch,chinese food,\ne8223,2022/10/24,dinner,fish and chips,\ne8225,2022/10/26,dinner,a burger,\ne8228,2022/10/28,breakfast,peanut-butter-jam,\"Kayden, Emily, Carter\"\ne8232,2022/10/30,lunch,steak,\ne8233,2022/10/30,dinner,chinese food,\ne8237,2022/11/02,breakfast,oatmeal,\"Benjamin, Avery, Willow\"\ne8238,2022/11/03,lunch,chinese food,\ne8240,2022/11/04,breakfast,cereals,\"Andrew, Emily, Carter\"\ne8241,2022/11/05,breakfast,oatmeal,\"Hazel, Nevaeh, Layla, Nora\"\ne8242,2022/11/05,lunch,fish and chips,Layla\ne8244,2022/11/06,breakfast,\"eggs, sausages, and bread\",\"Nevaeh, Hazel, Lydia, Kinsley, Piper, Layla, Avery, Nora\"\ne8245,2022/11/06,lunch,a burger,\ne8246,2022/11/06,dinner,tacos,\ne8249,2022/11/07,dinner,fish and chips,\ne8252,2022/11/10,lunch,sushi,\"Jackson, Avery, Benjamin, Willow\"\ne8253,2022/11/10,dinner,steak,\"Andrew, Carter, Emily\"\ne8254,2022/11/11,dinner,indian food,\"Benjamin, Willow, Jackson, Avery\"\ne8262,2022/11/16,dinner,indian food,\"Carter, Andrew, Kayden, Emily\"\ne8264,2022/11/17,lunch,fish and chips,Carter\ne8267,2022/11/18,breakfast,pancakes,\ne8268,2022/11/18,lunch,indian food,\ne8270,2022/11/19,breakfast,\"eggs, sausages, and bread\",\ne8274,2022/11/21,breakfast,toast and cheese,\ne8277,2022/11/22,lunch,steak,\ne8280,2022/11/23,breakfast,peanut-butter-jam,\"Carter, Kayden, Emily, Andrew\"\ne8281,2022/11/24,breakfast,cereals,\ne8282,2022/11/25,lunch,fish and chips,Carter\ne8284,2022/11/26,dinner,fish and chips,\"Andrew, Emily, Carter, Kayden\"\ne8285,2022/11/28,dinner,chinese food,\"Nora, Lydia, Avery, Nevaeh, Piper, Rylee\"\ne8288,2022/11/30,lunch,chinese food,\ne8289,2022/12/01,dinner,a burger,\"Piper, Nevaeh, Piper, Eva, Kinsley, Avery, Nora, Lydia, Olivia, Hazel, Layla\"\ne8294,2022/12/08,dinner,pasta,\"Benjamin, Willow\"\ne8296,2022/12/09,lunch,steak,\ne8297,2022/12/10,lunch,sushi,Layla\ne8299,2022/12/12,lunch,chinese food,Emily\ne8302,2022/12/14,dinner,pasta,\ne8304,2022/12/15,lunch,sushi,\"Piper, Lydia, Avery, Claire, Nora\"\ne8305,2022/12/16,breakfast,\"eggs, sausages, and bread\",\"Andrew, Kayden, Carter, Emily\"\ne8306,2022/12/16,dinner,steak,\ne8307,2022/12/17,dinner,pasta,\ne8309,2022/12/19,breakfast,\"eggs, sausages, and bread\",\"Benjamin, Avery, Jackson\"\ne8314,2022/12/23,lunch,pasta,\ne8315,2022/12/23,dinner,pasta,\"Jackson, Willow, Benjamin, Avery\"\ne8317,2022/12/26,dinner,steak,\ne8319,2022/12/27,dinner,indian food,\ne8321,2022/12/29,breakfast,peanut-butter-jam,\ne8322,2022/12/29,dinner,fish and chips,\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/daily_read-log.csv",
    "content": "eid,date,readtype,howlong\ne79,2010/01/02,a book,25\ne91,2010/01/09,social media,21\ne98,2010/01/14,a book,12\ne103,2010/01/19,a book,53\ne107,2010/01/21,a book,38\ne119,2010/01/26,a book,8\ne122,2010/01/28,news,29\ne143,2010/02/18,news,48\ne158,2010/02/26,a book,55\ne161,2010/02/28,social media,30\ne166,2010/03/02,a book,43\ne167,2010/03/03,news,16\ne172,2010/03/06,social media,33\ne179,2010/03/13,a book,32\ne188,2010/03/20,a book,15\ne192,2010/03/23,a book,46\ne195,2010/03/25,a book,53\ne200,2010/03/28,news,44\ne204,2010/03/31,social media,33\ne222,2010/04/18,social media,54\ne233,2010/04/28,a book,15\ne236,2010/05/01,social media,23\ne241,2010/05/04,social media,40\ne257,2010/05/15,social media,8\ne261,2010/05/18,a book,37\ne272,2010/05/24,news,52\ne273,2010/05/25,social media,8\ne278,2010/05/29,a book,47\ne282,2010/06/02,social media,54\ne286,2010/06/05,news,11\ne301,2010/06/15,news,28\ne309,2010/06/19,social 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  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/marriages-log.csv",
    "content": "eid,married_date,partner_name,location\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/monthly_pet_care-log.csv",
    "content": "eid,date,pet_care_type\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/moves-log.csv",
    "content": "eid,date,type_of_move,destination\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/persona.json",
    "content": "{\"age_years\": 30, \"birth_year\": 1992, \"birth_month\": 5, \"birth_day\": 27, \"birth_city\": \"Asansol\", \"birth_country\": \"India\", \"num_sibling\": 2, \"sibling_names\": [\"Benjamin\", \"Willow\"], \"biological_mom_name\": \"Avery\", \"biological_dad_name\": \"Jackson\", \"gender\": \"male\", \"k_graduation\": 1998, \"e_graduation\": 2004, \"m_graduation\": 2007, \"h_graduation\": 2011, \"college\": 0, \"graduate_school\": 0, \"num_marriages\": 0, \"married\": [], \"divorced\": [], \"num_kids\": 4, \"kids\": [26, 28, 30], \"num_jobs\": 2, \"started_job\": [24, 30], \"quit_job\": [30], \"num_professions\": 2, \"professions\": [\"Startups\"], \"hobbies\": [\"yoga\", \"gardening\", \"learning a language\", \"meditation\", \"working out\"], \"exercise\": [\"gymnastics\", \"rugby\", \"hang gliding\", \"jogging\", \"sumo wrestling\"], \"trips_per_year\": 1, \"verboseness\": 5, \"kids_names\": [\"Kayden\", \"Emily\", \"Andrew\", \"Carter\"], \"partners_names\": [], \"num_close_friends\": 13, \"close_friends_names\": [\"Piper\", \"Layla\", \"Eva\", \"Piper\", \"Claire\", \"Rylee\", \"Kinsley\", \"Avery\", \"Olivia\", \"Hazel\", \"Lydia\", \"Nora\", \"Nevaeh\"], \"num_pets\": 0, \"pet_year\": [], \"pet_names\": [], \"body_metric\": true, \"personality\": \"introverted\"}"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q1-result.csv",
    "content": "avg(num)\n0.07692307692307693\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q10-result.csv",
    "content": "foodtype\na burger\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q11-result.csv",
    "content": "count(*)\n2\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q12-result.csv",
    "content": "avg(howlong)\n9.45464362850972\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q13-result.csv",
    "content": "count(*)\n33\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q14-result.csv",
    "content": "count(*)\n156\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q15-result.csv",
    "content": "year,max(num)\n2019,28\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q16-result.csv",
    "content": "count(*)\n3\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q17-result.csv",
    "content": "cuisine,max(num)\nchocolate chip cookie in a mug,5\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q18-result.csv",
    "content": "avg\n0.06451612903225806\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q19-result.csv",
    "content": "count(*)\n27\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q2-result.csv",
    "content": "count(*)\n0\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q20-result.csv",
    "content": "year,max(num)\n2016,12\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q21-result.csv",
    "content": "fruits,max(num)\npineapples,73\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q22-result.csv",
    "content": "max(date_obj)\n\"\"\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q23-result.csv",
    "content": "count(*)\n3\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q24-result.csv",
    "content": "people_string,max(num)\n,22\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q25-result.csv",
    "content": "hobbies,max(num)\nyoga,26\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q26-result.csv",
    "content": "food_type\nstreet food\nlocal food\nstreet food\nJapanese food\nlocal food\nChinese food\nstreet food\nJapanese food\nstreet food\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q27-result.csv",
    "content": "food_type\nChinese food\nItalian food\nJapanese food\nIndian food\nlocal food\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q28-result.csv",
    "content": "food_type\nlocal food\nItalian food\nChinese food\nstreet food\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q29-result.csv",
    "content": "food_type,dining_date,place\nItalian food,2021-02-10 00:00:00.000000,Burj Khalifa\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q3-result.csv",
    "content": "count(*)\n0\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q30-result.csv",
    "content": "count(*)\n2\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q31-result.csv",
    "content": "count(distinct r.place)\n5\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q32-result.csv",
    "content": "place\nTower of London\nLondon Eye\nWestminster\nCamden\nHyde Park\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q33-result.csv",
    "content": "answer\nEmpty\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q34-result.csv",
    "content": "answer\nEmpty\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q35-result.csv",
    "content": "answer\nEmpty\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q36-result.csv",
    "content": "answer\nEmpty\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q37-result.csv",
    "content": "answer\nEmpty\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q38-result.csv",
    "content": "answer\nEmpty\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q39-result.csv",
    "content": "count(*)\n2\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q4-result.csv",
    "content": "friends,max(length)\nClaire,142\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q40-result.csv",
    "content": "min(date_obj)\n2014-01-23 00:00:00\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q41-result.csv",
    "content": "count(*)\n1\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q42-result.csv",
    "content": "city,num\n\"Bangkok, Thailand\",2\n\"London, UK\",2\n\"Philadelphia, US\",2\n\"Shanghai, China\",2\n\"Dubai, UAE\",1\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q5-result.csv",
    "content": "avg(length)\n30.613143631436316\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q6-result.csv",
    "content": "count(*)\n3\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q7-result.csv",
    "content": "exercise,max(num)\nbiking,3\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q8-result.csv",
    "content": "count(*)\n2\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/q9-result.csv",
    "content": "year,month,max(num)\n2012,10,4\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/results/queries.csv",
    "content": "q_id,query,params,question,datafiles,answer_column\r\nq1,\"select avg(num) from (select a.year, (case when b.num>=0 then b.num else a.num end) as num from (select distinct year, 0 as num from df) a left outer join (select year, count(*) as num from df where type_of_care = 'annual vision checkup' and for_whom = 'child_medical_care' group by year) b on a.year = b.year)\",\"{\"\"for_whom\"\": \"\"child_medical_care\"\", \"\"type_of_care\"\": \"\"annual vision checkup\"\"}\",What is the average number of times I took my kids for their vision checkup each year? ,annual_medical_care-log.csv,1\r\nq2,select count(*) from df where type_of_care = 'annual vision checkup' and for_whom = 'child_medical_care' and year = '2010',\"{\"\"year\"\": 2010, \"\"type_of_care\"\": \"\"annual vision checkup\"\", \"\"for_whom\"\": \"\"child_medical_care\"\"}\",How many times did I take my kids to an optician in 2010?,annual_medical_care-log.csv,1\r\nq3,select count(*) from df where type_of_care like '%dental%' and for_whom = 'child_medical_care' and year = '2014',\"{\"\"year\"\": 2014, \"\"type_of_care\"\": \"\"annual dental cleaning and checkup\"\", \"\"for_whom\"\": \"\"child_medical_care\"\"}\",How many times did I take my kids to the dentist in 2014?,annual_medical_care-log.csv,1\r\nq4,\"select friends, max(length) from (select friends, sum(howlong) as length from (select friends, howlong from df1 where year = '2018' and month = '4') as a group by friends) as b\",\"{\"\"year\"\": 2018, \"\"month\"\": 4}\",Who did I chat with the most in April 2018?,daily_chat-log.csv,1\r\nq5,\"select avg(length) from (select date, sum(howlong) as length from df group by date) as a\",{},\"On average, how long did I spend talking to my friends everyday?\",daily_chat-log.csv,1\r\nq6,select count(*) from df1 where friends = 'Olivia' and year = '2013' and month = '6',\"{\"\"friends\"\": \"\"Olivia\"\", \"\"year\"\": 2013, \"\"month\"\": 6}\",How many times did I chat with Olivia in June 2013?,daily_chat-log.csv,1\r\nq7,\"select exercise, max(num) from (select exercise, count(*) as num from df where month = '7' and year = '2011' group by exercise) as a\",\"{\"\"month\"\": 7, \"\"year\"\": 2011}\",What type of exercise did I do the most in July 2011?,daily_exercise-log.csv,1\r\nq8,select count(*) from df where exercise = 'biking' and month = '12' and year = '2020',\"{\"\"exercise\"\": \"\"biking\"\", \"\"month\"\": 12, \"\"year\"\": 2020}\",How many times did I go biking in December 2020?,daily_exercise-log.csv,1\r\nq9,\"select year, month, max(num) from (select year, month, count(exercise) as num from df where exercise = 'biking' group by year, month) as a\",\"{\"\"exercise\"\": \"\"biking\"\"}\",Which month of which year did I bike the most?,daily_exercise-log.csv,\"1,2\"\r\nq10,select distinct foodtype from df1 where mealtype = 'lunch' and people_string = 'Eva' and month = '10' and year = '2013',\"{\"\"mealtype\"\": \"\"lunch\"\", \"\"people_string\"\": \"\"Eva\"\", \"\"month\"\": 10, \"\"year\"\": 2013}\",List all the lunch dishes that Eva had in October of 2013.,daily_meal-log.csv,1\r\nq11,select count(*) from df where mealtype = 'dinner' and foodtype = 'indian food' and month = '1' and year = '2014',\"{\"\"mealtype\"\": \"\"dinner\"\", \"\"foodtype\"\": \"\"indian food\"\", \"\"month\"\": 1, \"\"year\"\": 2014}\",How many times did I have Indian food for dinner in January 2014?,daily_meal-log.csv,1\r\nq12,\"select avg(howlong) from (select a.date, (case when b.howlong>=0 then b.howlong else a.howlong end) as howlong from (select distinct date, 0 as howlong from df) a left outer join (select date, howlong from df where readtype='news') b on a.date = b.date)\",\"{\"\"readtype\"\": \"\"news\"\"}\",How much time on average did I spend on reading the news each day?,daily_read-log.csv,1\r\nq13,select count(*) from df where year='2011' and readtype='social media',\"{\"\"year\"\": 2011, \"\"readtype\"\": \"\"social media\"\"}\",How many times did I go on social media in 2011?,daily_read-log.csv,1\r\nq14,select count(*) from df where watchtype='a movie' and cast(year as int)>=2015,\"{\"\"watchtype\"\": \"\"a movie\"\", \"\"year\"\": 2015}\",How many movies did I watched in total since 2015?,daily_watchtv-log.csv,1\r\nq15,\"select year, max(num) from (select year, count(*) as num from df where watchtype='news' group by year)\",\"{\"\"watchtype\"\": \"\"news\"\"}\",In which year did I watch the most news?,daily_watchtv-log.csv,1\r\nq16,select count(*) from df where cuisine like '%chocolate chip cookie in a mug%' and cast(year as int)>2017,\"{\"\"cuisine\"\": \"\"chocolate chip cookie in a mug\"\", \"\"year\"\": 2017}\",How many times did I make chocolate chip cookie in a mug after 2017?,weekly_bakeorcook-log.csv,1\r\nq17,\"select cuisine, max(num) from (select cuisine, count(*) as num from df1 group by cuisine)\",{},What do I bake or cook the most often?,weekly_bakeorcook-log.csv,1\r\nq18,select cast(count(cuisine) as float)/31 as avg from (select cuisine from df1 where month = '11' and year = '2021'),\"{\"\"year\"\": 2021, \"\"month\"\": 11}\",How many dishes on average did I make on a daily basis in November 2021?,weekly_bakeorcook-log.csv,1\r\nq19,select count(*) from df where year = '2020',\"{\"\"year\"\": 2020}\",How many times did I go grocery shopping in 2020?,weekly_grocery-log.csv,1\r\nq20,\"select year, max(num) from (select year, count(toiletries) as num from (select year, toiletries from df where toiletries like '%facial wash%') group by year)\",\"{\"\"toiletries\"\": \"\"facial wash\"\"}\",In what year did I buy the most facial wash?,weekly_grocery-log.csv,1\r\nq21,\"select fruits, max(num) from (select fruits, count(date) as num from (select fruits, date from df1) group by fruits)\",{},What fruit do I buy the most often?,weekly_grocery-log.csv,1\r\nq22,select max(date_obj) from (select datetime(date) as date_obj from df where people_string like '%Chloe%'),\"{\"\"people_string\"\": \"\"%Chloe%\"\"}\",When did I last get groceries with Chloe?,weekly_grocery-log.csv,1\r\nq23,select count(*) from df where hobbies = 'meditation' and people_string like '%Kayden%',\"{\"\"hobbies\"\": \"\"meditation\"\", \"\"people_string\"\": \"\"Kayden\"\"}\",How many times have I meditated with Kayden?,weekly_hobby-log.csv,1\r\nq24,\"select people_string, max(num) from (select people_string, count(hobbies) as num from df1 where hobbies = 'learning a language' group by people_string)\",\"{\"\"hobbies\"\": \"\"learning a language\"\"}\",Who did I spend most time with for learning a language?,weekly_hobby-log.csv,1\r\nq25,\"select hobbies, max(num) from (select hobbies, count(date) as num from (select date, hobbies from df1 where year = '2020')) group by hobbies\",\"{\"\"year\"\": 2020}\",What was my favorite hobby in 2020?,weekly_hobby-log.csv,1\r\nq26,\"select food_type from df where city = 'Paris, France'\",\"{\"\"city\"\": \"\"Paris, France\"\"}\",\"What did I eat in Paris, France?\",travel_dining-log.csv,\"1,:\"\r\nq27,select food_type from df group by food_type order by count(dining_date) desc limit 5,{},What is the food I most frequently eat when I travel?,travel_dining-log.csv,\"1,:\"\r\nq28,\"select food_type from df where city = 'Rio, Brazil' group by food_type order by count(dining_date) desc limit 5\",\"{\"\"city\"\": \"\"Rio, Brazil\"\"}\",\"What is the most common food I eat when I'm in Rio, Brazil?\",travel_dining-log.csv,\"1,:\"\r\nq29,\"select r.food_type, r.dining_date, s.place from df r cross join df2 s where s.place = 'Burj Khalifa' and r.dining_date = s.place_visit_date\",\"{\"\"place\"\": \"\"Burj Khalifa\"\"}\",What did I eat on the day that I visited Burj Khalifa?,\"travel_dining-log.csv,travel_places_visited-log.csv\",\"1,:\"\r\nq30,select count(*) from df where place = 'Camden',\"{\"\"place\"\": \"\"Camden\"\"}\",How many times did I visit Camden?,travel_places_visited-log.csv,1\r\nq31,\"select count(distinct r.place) from df r where r.city = 'Rio, Brazil'\",\"{\"\"city\"\": \"\"Rio, Brazil\"\"}\",\"How many places did I visit in Rio, Brazil?\",travel_places_visited-log.csv,1\r\nq32,\"select r.place from df r where r.city = 'London, UK' AND r.people like '% Avery%'\",\"{\"\"city\"\": \"\"London, UK\"\", \"\"people\"\": \"\" Avery\"\"}\",\"Which places in London, UK did I visit with Avery?\",travel_places_visited-log.csv,\"1,:\"\r\nq33,,,How many times did I get married?,marriages-log.csv,?\r\nq34,,,When did I first get married?,marriages-log.csv,?\r\nq35,,,When was the date of my most recent marriage?,marriages-log.csv,?\r\nq36,,,How many times did I move in my life?,moves-log.csv,?\r\nq37,,,When was my most recent move?,moves-log.csv,?\r\nq38,,,How many times did I move for a job?,moves-log.csv,?\r\nq39,\"select count(*) from df where city = 'Shanghai, China'\",\"{\"\"city\"\": \"\"Shanghai, China\"\"}\",\"How many times did I travel to Shanghai, China?\",travel-log.csv,1\r\nq40,\"select min(date_obj) from (select datetime(start_date) as date_obj from df where city = 'Sydney, Australia')\",\"{\"\"city\"\": \"\"Sydney, Australia\"\"}\",\"When was the first time I traveled to Sydney, Australia?\",travel-log.csv,1\r\nq41,\"select count(*) from df where city = 'London, UK' and start_year = '2016'\",\"{\"\"city\"\": \"\"London, UK\"\", \"\"start_year\"\": 2016}\",\"How many times did I travel to London, UK in year 2016?\",travel-log.csv,1\r\nq42,\"select * from (select city, count(*) as num from df group by city) order by num desc limit 5\",{},What are my top 5 travel destinations?,travel-log.csv,\"1,:\"\r\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/timeline.csv.txt",
    "content": "On 1992/05/27, My parents are Avery and Jackson..\nOn 2010/01/01, I went grocery shopping. I bought some strawberries, orange juice, and mouth wash, shaving cream, toothpaste, shampoo.\nOn 2010/01/01, I did HIIT on 2010/01/01..\nOn 2010/01/02, I went on a date with Leah on 2010/01/02 at a boba shop.\nOn 2010/01/02, I spent 25 minutes on a book today..\nOn 2010/01/02, I watched a documentary for 10 minutes on TV today..\nOn 2010/01/03, I prepare chinese food for dinner..\nOn 2010/01/04, I talked to Piper, Olivia, Lydia, Piper for 11 minutes late in the evening..\nOn 2010/01/05, I had cereals for breakfast with Emily.\nOn 2010/01/07, I did running on 2010/01/07..\nOn 2010/01/07, I talked to Piper, Claire, Hazel, Kinsley for 23 minutes late in the evening..\nOn 2010/01/08, I had lunch. I ate indian food..\nOn 2010/01/09, I did biking on 2010/01/09..\nOn 2010/01/09, I had cereals for breakfast with Hazel, Rylee, Piper, Nora, Avery, Eva, Nevaeh, Claire, Lydia, Olivia, Layla, Kinsley.\nOn 2010/01/09, I had lunch. I ate sushi..\nOn 2010/01/09, I had chinese food for dinner with Kayden, Carter.\nOn 2010/01/09, I spent 21 minutes reading social media today..\nOn 2010/01/10, I did hiking on 2010/01/10..\nOn 2010/01/10, I ate pasta for dinner..\nOn 2010/01/11, I talked to Nevaeh, Piper, Olivia, Eva for 37 minutes late in the evening..\nOn 2010/01/12, I did swimming on 2010/01/12..\nOn 2010/01/12, I talked to Nora for 47 minutes in the morning..\nOn 2010/01/14, I went on a date with Mila on 2010/01/14 at a park.\nOn 2010/01/14, I talked to Nora, Lydia, Piper for 23 minutes in the late afternoon..\nOn 2010/01/14, I spent 12 minutes reading a book today..\nOn 2010/01/15, I spent 17 minutes watching a movie on TV today..\nOn 2010/01/16, I talked to Olivia, Kinsley, Hazel, Nora for 50 minutes late in the evening..\nOn 2010/01/16, I watched a documentary for 16 minutes on TV today..\nOn 2010/01/17, I did weight lifting on 2010/01/17..\nOn 2010/01/18, I took my parents for their for an annual dental cleaning and checkup on 2010/01/18 at the university hospital..\nOn 2010/01/19, I spent 53 minutes reading a book today..\nOn 2010/01/21, I ate pancakes for breakfast..\nOn 2010/01/21, I had lunch. I ate chinese food..\nOn 2010/01/21, I spent 11 talking to Nevaeh, Piper, Olivia on various topics in the late afternoon..\nOn 2010/01/21, I spent 38 minutes on a book today..\nOn 2010/01/22, I bought some pears, blackberries, pineapples, strawberries, milk, apple juice, toothbrush from the grocery store. I saw Kayden, Andrew, Carter, Emily at the grocery store..\nOn 2010/01/22, I did HIIT on 2010/01/22..\nOn 2010/01/22, I prepare tacos for lunch..\nOn 2010/01/22, I had chinese food for dinner with Emily, Carter.\nOn 2010/01/23, I did running on 2010/01/23..\nOn 2010/01/23, I had lunch with Kayden, Andrew, Emily, Carter. I ate steak..\nOn 2010/01/24, I did running on 2010/01/24..\nOn 2010/01/25, I did running on 2010/01/25..\nOn 2010/01/25, I had oatmeal for breakfast with Olivia, Piper, Avery, Nevaeh, Claire, Lydia, Nora, Piper, Rylee, Eva, Layla, Kinsley.\nOn 2010/01/25, I ate indian food for dinner..\nOn 2010/01/25, I talked to Piper, Olivia for 40 minutes in the late afternoon..\nOn 2010/01/26, I had dinner. I ate chinese food..\nOn 2010/01/26, I spent 8 minutes on a book today..\nOn 2010/01/27, I had breakfast with Kayden, Carter. I ate pancakes..\nOn 2010/01/28, I spent 21 talking to Lydia, Piper, Hazel, Nevaeh on various topics in the early afternoon..\nOn 2010/01/28, I spent 29 minutes reading news today..\nOn 2010/01/28, I spent 12 minutes watching a tv series on TV today..\nOn 2010/01/30, I had tacos for lunch with Layla, Piper, Lydia, Eva, Claire, Rylee.\nOn 2010/01/31, I prepare a burger for dinner..\nOn 2010/02/02, I went on a date with Noah on 2010/02/02 at a boba shop.\nOn 2010/02/02, I spent 25 minutes watching a documentary on TV today..\nOn 2010/02/03, I went grocery shopping. I bought some watermelons, pineapples, apples, sports drinks, and paper towel, mouthwash, shaving cream, facial wash.\nOn 2010/02/05, I talked to Rylee for 18 minutes in the early evening..\nOn 2010/02/06, I had breakfast with Kayden, Emily. I ate eggs, sausages, and bread..\nOn 2010/02/06, I spent 18 talking to Lydia, Piper on various topics in the early evening..\nOn 2010/02/06, I watched a documentary for 41 minutes on TV today..\nOn 2010/02/07, I prepare cereals for breakfast..\nOn 2010/02/07, I spent 35 talking to Nora, Nevaeh, Lydia on various topics during lunch hours..\nOn 2010/02/09, On 2010/02/09, I took Nora on a date to a park.\nOn 2010/02/09, I did HIIT on 2010/02/09..\nOn 2010/02/09, I had breakfast. I ate oatmeal..\nOn 2010/02/09, I watched a documentary for 17 minutes on TV today..\nOn 2010/02/11, I did HIIT on 2010/02/11..\nOn 2010/02/11, I had tacos for lunch with Emily, Carter, Andrew.\nOn 2010/02/12, On 2010/02/12 Carter, Kayden and I went to Philadelphia, US together for 6 days .\nOn 2010/02/12, I spent 24 minutes watching news on TV today..\nOn 2010/02/13, During my trip to Philadelphia, US, I visited Liberty Bell on 2010/02 with Carter, Kayden..\nOn 2010/02/13, I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/13 when I was in Philadelphia, US..\nOn 2010/02/13, I talked to Claire, Olivia for 47 minutes during lunch hours..\nOn 2010/02/14, During my trip to Philadelphia, US, I visited Philadelphia Museum of Art on 2010/02 with Carter, Kayden..\nOn 2010/02/14, I spent 50 talking to Eva, Nora on various topics in the early afternoon..\nOn 2010/02/15, During my trip to Philadelphia, US, I visited Ipanema on 2010/02 with Carter, Kayden..\nOn 2010/02/15, I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/15 when I was in Philadelphia, US..\nOn 2010/02/15, I had dinner with Piper, Lydia, Claire, Layla, Nora, Kinsley, Avery, Eva, Piper, Nevaeh, Hazel, Rylee. I ate sandwich..\nOn 2010/02/16, During my trip to Philadelphia, US, I visited Carnaval on 2010/02 with Carter, Kayden..\nOn 2010/02/16, I ate street food at Lunch Street with Carter, Kayden on  2010/02/16 when I was in Philadelphia, US..\nOn 2010/02/16, I talked to Olivia, Piper, Claire for 43 minutes in the early afternoon..\nOn 2010/02/17, During my trip to Philadelphia, US, I visited Independence Hall on 2010/02 with Carter, Kayden..\nOn 2010/02/17, I ate Japanese food at High Street Philly with Carter, Kayden on  2010/02/17 when I was in Philadelphia, US..\nOn 2010/02/18, I ate Japanese food at Wood Street Pizza with Carter, Kayden on  2010/02/18 when I was in Philadelphia, US..\nOn 2010/02/18, I spent 48 minutes on news today..\nOn 2010/02/19, I ate sushi for dinner..\nOn 2010/02/20, On 2010/02/20, I took Daniel on a date to a coffee Shop.\nOn 2010/02/20, I watched news for 52 minutes on TV today..\nOn 2010/02/21, I prepare fish and chips for lunch..\nOn 2010/02/21, I had sushi for dinner with Rylee, Hazel, Piper, Nora, Layla.\nOn 2010/02/21, I talked to Piper, Layla, Piper for 11 minutes during lunch hours..\nOn 2010/02/21, I watched news for 22 minutes on TV today..\nOn 2010/02/22, I had a burger for lunch with Emily, Kayden, Carter, Andrew.\nOn 2010/02/23, I ate steak for lunch..\nOn 2010/02/23, I talked to Claire, Nora, Avery for 54 minutes in the early afternoon..\nOn 2010/02/24, I spent 51 talking to Rylee, Layla, Claire on various topics in the early afternoon..\nOn 2010/02/25, I talked to Piper, Eva, Claire, Avery for 45 minutes in the early evening..\nOn 2010/02/25, I spent 52 minutes watching a documentary on TV today..\nOn 2010/02/26, I had dinner. I ate indian food..\nOn 2010/02/26, I talked to Hazel for 25 minutes during lunch hours..\nOn 2010/02/26, I spent 55 minutes reading a book today..\nOn 2010/02/27, I had breakfast with Carter, Andrew, Emily, Kayden. I ate pancakes..\nOn 2010/02/28, I prepare pancakes for breakfast..\nOn 2010/02/28, I spent 30 minutes reading social media today..\nOn 2010/03/01, I had lunch with Avery, Piper, Layla, Lydia, Eva. I ate chinese food..\nOn 2010/03/01, I had dinner. I ate fish and chips..\nOn 2010/03/01, I talked to Kinsley, Claire, Eva for 34 minutes late in the evening..\nOn 2010/03/02, I had dinner. I ate tacos..\nOn 2010/03/02, I spent 43 minutes reading a book today..\nOn 2010/03/03, I spent 16 minutes on news today..\nOn 2010/03/04, I had dinner with Emily, Kayden, Carter, Andrew. I ate steak..\nOn 2010/03/04, I talked to Claire, Eva, Avery for 20 minutes late in the evening..\nOn 2010/03/06, I went on a date with Grace on 2010/03/06 at a coffee Shop.\nOn 2010/03/06, I ate cereals for breakfast..\nOn 2010/03/06, I had lunch. I ate fish and chips..\nOn 2010/03/06, I spent 33 minutes on social media today..\nOn 2010/03/07, I did biking on 2010/03/07..\nOn 2010/03/07, I had dinner. I ate steak..\nOn 2010/03/08, I prepare chinese food for lunch..\nOn 2010/03/09, I went on a date with Colton on 2010/03/09 at a coffee Shop.\nOn 2010/03/09, I spent 55 talking to Olivia, Lydia, Avery on various topics in the morning..\nOn 2010/03/10, I bought some apples, bananas, blackberries, pears, apple juice, coffee, toothbrush, body lotion, paper towel, shampoo online..\nOn 2010/03/10, I ate chinese food for dinner..\nOn 2010/03/12, I talked to Hazel for 25 minutes during lunch hours..\nOn 2010/03/13, I bought some apricots, blackberries, tea, toothpaste, mouthwash, paper towel online..\nOn 2010/03/13, I spent 32 minutes reading a book today..\nOn 2010/03/14, I ate sushi for dinner..\nOn 2010/03/14, I spent 21 talking to Olivia, Nevaeh, Layla, Avery on various topics in the early afternoon..\nOn 2010/03/15, On 2010/03/15, I took Carson on a date to a park.\nOn 2010/03/16, I had sandwich for lunch with Carter, Andrew, Emily.\nOn 2010/03/16, I ate indian food for dinner..\nOn 2010/03/17, I did HIIT on 2010/03/17..\nOn 2010/03/17, I talked to Nevaeh, Eva for 11 minutes in the morning..\nOn 2010/03/18, I had fish and chips for lunch with Emily, Carter, Andrew, Kayden.\nOn 2010/03/18, I prepare chinese food for dinner..\nOn 2010/03/20, On 2010/03/20, I took Jade on a date to a boba shop.\nOn 2010/03/20, I spent 15 minutes on a book today..\nOn 2010/03/22, I had dinner. I ate chinese food..\nOn 2010/03/22, I spent 34 talking to Hazel, Avery, Piper on various topics in the morning..\nOn 2010/03/23, I spent 13 talking to Layla on various topics in the early afternoon..\nOn 2010/03/23, I spent 46 minutes reading a book today..\nOn 2010/03/24, I had sushi for lunch with Lydia.\nOn 2010/03/25, I prepare fish and chips for lunch..\nOn 2010/03/25, I spent 53 minutes reading a book today..\nOn 2010/03/26, I had sushi for lunch with Andrew, Kayden.\nOn 2010/03/26, I prepare a burger for dinner..\nOn 2010/03/26, I spent 27 talking to Piper on various topics in the late afternoon..\nOn 2010/03/27, I spent 7 talking to Rylee, Olivia, Claire, Avery on various topics in the late afternoon..\nOn 2010/03/28, I spent 44 minutes reading news today..\nOn 2010/03/29, I had lunch with Avery, Jackson, Willow, Benjamin. I ate sandwich..\nOn 2010/03/29, I spent 45 talking to Piper on various topics in the early evening..\nOn 2010/03/30, I spent 15 talking to Piper, Rylee on various topics during lunch hours..\nOn 2010/03/31, I went grocery shopping. I bought some apricots, peaches, raspberries, blackberries, orange juice, mineral water, and paper towel.\nOn 2010/03/31, I spent 33 minutes on social media today..\nOn 2010/04/01, I ate sushi for lunch..\nOn 2010/04/03, I spent some time learning a language on 2010/04/03..\nOn 2010/04/04, I had lunch with Avery, Benjamin. I ate steak..\nOn 2010/04/06, I watched a movie for 27 minutes on TV today..\nOn 2010/04/07, I had lunch with Jackson, Benjamin, Willow. I ate a burger..\nOn 2010/04/08, I watched a tv series for 34 minutes on TV today..\nOn 2010/04/11, I did biking on 2010/04/11..\nOn 2010/04/11, I ate peanut-butter-jam for breakfast..\nOn 2010/04/12, I did swimming on 2010/04/12..\nOn 2010/04/13, I had breakfast. I ate peanut-butter-jam..\nOn 2010/04/13, I had lunch. I ate pasta..\nOn 2010/04/13, I talked to Piper for 49 minutes in the late afternoon..\nOn 2010/04/13, I spent 50 minutes watching a movie on TV today..\nOn 2010/04/14, I had breakfast. I ate cereals..\nOn 2010/04/14, I watched a documentary for 14 minutes on TV today..\nOn 2010/04/16, I ate fish and chips for lunch..\nOn 2010/04/17, I had tacos for dinner with Nevaeh, Olivia, Layla.\nOn 2010/04/17, I spent 17 talking to Lydia, Nevaeh, Piper, Kinsley on various topics during lunch hours..\nOn 2010/04/18, I spent 54 minutes reading social media today..\nOn 2010/04/19, I had steak for lunch with Benjamin, Willow, Jackson, Avery.\nOn 2010/04/20, I prepare sushi for lunch..\nOn 2010/04/21, I ate tacos for dinner..\nOn 2010/04/22, I went grocery shopping with Emily, Andrew. I bought some pineapples, milk, chocolate milk, pineapple juice, and shaving cream, mouthwash, toothpaste, paper towel.\nOn 2010/04/22, I prepare toast and cheese for breakfast..\nOn 2010/04/22, I spent 54 minutes watching a movie on TV today..\nOn 2010/04/23, I prepare a burger for dinner..\nOn 2010/04/24, I ate pasta for lunch..\nOn 2010/04/25, I watched a documentary for 15 minutes on TV today..\nOn 2010/04/26, I spent 39 talking to Piper, Avery, Hazel, Nora on various topics during lunch hours..\nOn 2010/04/28, I talked to Piper for 46 minutes late in the evening..\nOn 2010/04/28, I spent 15 minutes on a book today..\nOn 2010/04/29, I talked to Piper, Claire, Hazel for 28 minutes in the morning..\nOn 2010/04/30, I watched news for 9 minutes on TV today..\nOn 2010/05/01, I spent 23 minutes reading social media today..\nOn 2010/05/02, I prepare indian food for dinner..\nOn 2010/05/02, I spent 46 talking to Rylee, Piper on various topics during lunch hours..\nOn 2010/05/03, I talked to Eva for 46 minutes in the late afternoon..\nOn 2010/05/03, I watched a documentary for 37 minutes on TV today..\nOn 2010/05/04, I spent 40 minutes on social media today..\nOn 2010/05/05, I prepare fish and chips for lunch..\nOn 2010/05/05, I had sandwich for dinner with Emily, Andrew, Kayden, Carter.\nOn 2010/05/06, I did hiking on 2010/05/06..\nOn 2010/05/06, I prepare cereals for breakfast..\nOn 2010/05/07, I talked to Piper, Hazel for 11 minutes during lunch hours..\nOn 2010/05/08, I had breakfast. I ate oatmeal..\nOn 2010/05/08, I talked to Kinsley, Lydia for 18 minutes late in the evening..\nOn 2010/05/10, I spent 8 talking to Piper, Nora, Olivia, Kinsley on various topics in the early afternoon..\nOn 2010/05/11, I prepare pasta for lunch..\nOn 2010/05/12, I went grocery shopping with Benjamin, Willow. I bought some blackberries, apple juice, and body lotion.\nOn 2010/05/13, I had breakfast. I ate peanut-butter-jam..\nOn 2010/05/13, I prepare a burger for dinner..\nOn 2010/05/13, I spent 33 talking to Avery, Eva, Hazel, Olivia on various topics late in the evening..\nOn 2010/05/14, I did swimming on 2010/05/14..\nOn 2010/05/14, I spent 46 talking to Claire, Lydia on various topics in the early afternoon..\nOn 2010/05/15, I had dinner. I ate pasta..\nOn 2010/05/15, I spent 8 minutes on social media today..\nOn 2010/05/17, I did biking on 2010/05/17..\nOn 2010/05/17, I spent 18 talking to Avery, Hazel, Nevaeh on various topics late in the evening..\nOn 2010/05/18, I had lunch. I ate tacos..\nOn 2010/05/18, I spent 37 minutes reading a book today..\nOn 2010/05/20, I did weight lifting on 2010/05/20..\nOn 2010/05/20, I had lunch with Carter, Kayden, Emily. I ate sandwich..\nOn 2010/05/20, I talked to Hazel, Avery, Kinsley, Eva for 14 minutes in the early afternoon..\nOn 2010/05/20, I watched a documentary for 20 minutes on TV today..\nOn 2010/05/21, I had dinner. I ate tacos..\nOn 2010/05/21, I talked to Rylee, Layla, Olivia for 11 minutes late in the evening..\nOn 2010/05/22, I spent 9 talking to Kinsley, Eva, Hazel, Piper on various topics in the morning..\nOn 2010/05/23, I spent 26 minutes watching a documentary on TV today..\nOn 2010/05/24, I ate a burger for lunch..\nOn 2010/05/24, I had dinner. I ate indian food..\nOn 2010/05/24, I spent 52 minutes reading news today..\nOn 2010/05/25, I spent 8 minutes reading social media today..\nOn 2010/05/27, I bought some clementines, apricots, sports drinks, guava juice, soda, apple juice, mouthwash from the grocery store. I saw Emily, Kayden at the grocery store..\nOn 2010/05/27, I talked to Layla, Avery, Piper, Claire for 33 minutes in the late afternoon..\nOn 2010/05/27, I spent 39 minutes watching a movie on TV today..\nOn 2010/05/28, I had dinner with Andrew, Kayden. I ate sandwich..\nOn 2010/05/29, I had lunch with Andrew, Emily. I ate indian food..\nOn 2010/05/29, I spent 47 minutes reading a book today..\nOn 2010/05/31, I spent time working out on 2010/05/31 with Avery, Willow..\nOn 2010/05/31, I watched a documentary for 42 minutes on TV today..\nOn 2010/06/01, I went grocery shopping with Benjamin, Avery, Willow. I bought some bananas, mango juice, orange juice, and toothpaste, body lotion.\nOn 2010/06/01, I spent 38 talking to Rylee on various topics late in the evening..\nOn 2010/06/02, I talked to Eva, Nora, Olivia, Lydia for 42 minutes in the early afternoon..\nOn 2010/06/02, I spent 54 minutes reading social media today..\nOn 2010/06/03, I did hiking on 2010/06/03..\nOn 2010/06/03, I had pasta for dinner with Carter, Emily, Andrew.\nOn 2010/06/05, I had breakfast. I ate eggs, sausages, and bread..\nOn 2010/06/05, I spent 11 minutes reading news today..\nOn 2010/06/06, I had dinner. I ate chinese food..\nOn 2010/06/07, I had lunch. I ate fish and chips..\nOn 2010/06/08, I watched a tv series for 14 minutes on TV today..\nOn 2010/06/09, I went grocery shopping with Piper, Eva, Olivia, Hazel, Claire, Avery, Lydia, Kinsley. I bought some clementines, pineapples, soda, mango juice, and facial wash, mouth wash.\nOn 2010/06/09, I prepare sushi for lunch..\nOn 2010/06/09, I ate fish and chips for dinner..\nOn 2010/06/10, I watched news for 10 minutes on TV today..\nOn 2010/06/11, I talked to Avery, Kinsley, Nevaeh for 12 minutes late in the evening..\nOn 2010/06/12, I spent 38 minutes watching news on TV today..\nOn 2010/06/13, I went on a date with Isabella on 2010/06/13 at a park.\nOn 2010/06/13, I prepare peanut-butter-jam for breakfast..\nOn 2010/06/13, I talked to Piper for 36 minutes in the early afternoon..\nOn 2010/06/14, I watched a movie for 50 minutes on TV today..\nOn 2010/06/15, I really enjoyed working out on 2010/06/15.\nOn 2010/06/15, I prepare pancakes for breakfast..\nOn 2010/06/15, I prepare tacos for dinner..\nOn 2010/06/15, I talked to Claire, Layla, Piper, Hazel for 40 minutes in the late afternoon..\nOn 2010/06/15, I spent 28 minutes on news today..\nOn 2010/06/16, I prepare eggs, sausages, and bread for breakfast..\nOn 2010/06/16, I spent 11 talking to Olivia on various topics in the early afternoon..\nOn 2010/06/17, I bought some clementines, pineapples, tea, pineapple juice, facial wash, toothbrush, body lotion, paper towel from the grocery store. I saw Kayden, Emily, Carter at the grocery store..\nOn 2010/06/17, I had lunch. I ate pasta..\nOn 2010/06/17, I spent 48 talking to Eva, Rylee on various topics in the early afternoon..\nOn 2010/06/18, I talked to Eva, Lydia, Piper, Piper for 15 minutes late in the evening..\nOn 2010/06/18, I watched a documentary for 44 minutes on TV today..\nOn 2010/06/19, I had dinner. I ate steak..\nOn 2010/06/19, I spent 38 minutes on social media today..\nOn 2010/06/20, I went grocery shopping with Nevaeh, Hazel, Piper. I bought some blackberries, chocolate milk, orange juice, coffee, mango juice, and conditioner, mouth wash.\nOn 2010/06/21, I spent 50 talking to Hazel, Avery, Kinsley on various topics in the morning..\nOn 2010/06/21, I watched a documentary for 25 minutes on TV today..\nOn 2010/06/22, I went grocery shopping. I bought some mandarins, cherres, nectarines, pears, orange juice, mineral water, and mouth wash.\nOn 2010/06/22, I had breakfast. I ate cereals..\nOn 2010/06/22, I watched news for 31 minutes on TV today..\nOn 2010/06/25, I did swimming on 2010/06/25..\nOn 2010/06/25, I had breakfast. I ate cereals..\nOn 2010/06/26, I did hiking on 2010/06/26..\nOn 2010/06/26, I had chinese food for dinner with Emily, Andrew, Carter.\nOn 2010/06/27, I had indian food for lunch with Kayden, Andrew, Emily.\nOn 2010/06/28, I did hiking on 2010/06/28..\nOn 2010/06/29, On 2010/06/29, I took James on a date to a boba shop.\nOn 2010/06/29, I spent 52 talking to Layla on various topics in the early afternoon..\nOn 2010/07/02, I spent 33 minutes on news today..\nOn 2010/07/03, I bought some peaches, oranges, blackberries, mineral water, sports drinks, shaving cream, toothbrush, toothpaste from the grocery store. I saw Jackson, Benjamin, Avery, Willow at the grocery store..\nOn 2010/07/03, I ate a burger for dinner..\nOn 2010/07/03, I spent 27 talking to Avery, Hazel, Nevaeh on various topics in the early afternoon..\nOn 2010/07/04, I went on a date with Richard on 2010/07/04 at a boba shop.\nOn 2010/07/04, I had breakfast with Carter, Emily, Andrew, Kayden. I ate cereals..\nOn 2010/07/04, I had lunch. I ate fish and chips..\nOn 2010/07/04, I had dinner. I ate indian food..\nOn 2010/07/04, I spent 44 talking to Rylee, Piper, Piper on various topics in the late afternoon..\nOn 2010/07/04, I spent 48 minutes watching news on TV today..\nOn 2010/07/05, I had breakfast with Andrew, Carter, Kayden, Emily. I ate eggs, sausages, and bread..\nOn 2010/07/05, I spent 24 minutes reading news today..\nOn 2010/07/06, I had dinner with Benjamin, Avery, Jackson. I ate a burger..\nOn 2010/07/07, I spent 9 minutes on news today..\nOn 2010/07/08, On 2010/07/08, I took Jayden on a date to a restaurant.\nOn 2010/07/08, I had breakfast. I ate toast and cheese..\nOn 2010/07/08, I had dinner with Kayden, Andrew. I ate fish and chips..\nOn 2010/07/08, I spent 55 minutes reading social media today..\nOn 2010/07/08, I watched news for 16 minutes on TV today..\nOn 2010/07/09, I went grocery shopping with Emily, Kayden. I bought some guava, watermelons, strawberries, coffee, mineral water, and shaving cream, mouthwash, conditioner.\nOn 2010/07/10, I did biking on 2010/07/10..\nOn 2010/07/11, I had breakfast. I ate oatmeal..\nOn 2010/07/11, I prepare fish and chips for dinner..\nOn 2010/07/11, I spent 28 minutes on a book today..\nOn 2010/07/12, I did swimming on 2010/07/12..\nOn 2010/07/12, I had breakfast with Andrew, Carter, Emily. I ate cereals..\nOn 2010/07/12, I watched news for 16 minutes on TV today..\nOn 2010/07/13, I did HIIT on 2010/07/13..\nOn 2010/07/14, I did hiking on 2010/07/14..\nOn 2010/07/14, I had lunch. I ate pasta..\nOn 2010/07/14, I had dinner. I ate fish and chips..\nOn 2010/07/15, I watched a documentary for 47 minutes on TV today..\nOn 2010/07/16, my parents for their and I went for an annual physical checkup at the hospital on 2010/07/16..\nOn 2010/07/16, I prepare pancakes for breakfast..\nOn 2010/07/16, I talked to Piper for 10 minutes late in the evening..\nOn 2010/07/17, I went grocery shopping. I bought some apricots, oranges, raspberries, mangos, apple juice, mango juice, and mouthwash, toothbrush.\nOn 2010/07/17, I did biking on 2010/07/17..\nOn 2010/07/18, I had lunch with Avery, Piper, Kinsley, Rylee, Claire, Lydia, Eva, Nora, Hazel, Olivia. I ate chinese food..\nOn 2010/07/18, I prepare indian food for dinner..\nOn 2010/07/19, I did HIIT on 2010/07/19..\nOn 2010/07/20, I watched news for 41 minutes on TV today..\nOn 2010/07/21, I did swimming on 2010/07/21..\nOn 2010/07/21, I had breakfast with Kinsley, Lydia, Avery. I ate oatmeal..\nOn 2010/07/21, I spent 39 talking to Hazel, Lydia, Eva on various topics during lunch hours..\nOn 2010/07/22, I spent some time meditation on 2010/07/22..\nOn 2010/07/22, I bought some apples, coffee, shaving cream, mouthwash online..\nOn 2010/07/22, I spent 48 minutes watching a movie on TV today..\nOn 2010/07/23, I did running on 2010/07/23..\nOn 2010/07/23, I prepare a burger for lunch..\nOn 2010/07/23, I spent 44 minutes on news today..\nOn 2010/07/24, I talked to Kinsley, Lydia for 26 minutes during lunch hours..\nOn 2010/07/24, I spent 33 minutes reading social media today..\nOn 2010/07/25, I had dinner with Andrew, Kayden. I ate sushi..\nOn 2010/07/26, I did hiking on 2010/07/26..\nOn 2010/07/26, I watched news for 29 minutes on TV today..\nOn 2010/07/27, I had lunch. I ate sandwich..\nOn 2010/07/27, I spent 14 minutes reading social media today..\nOn 2010/07/28, I had steak for lunch with Hazel, Nevaeh, Nora, Olivia, Piper, Claire, Rylee, Avery.\nOn 2010/07/29, I did HIIT on 2010/07/29..\nOn 2010/07/29, I had indian food for lunch with Carter, Emily, Andrew, Kayden.\nOn 2010/07/31, I had fish and chips for dinner with Andrew, Emily, Carter, Kayden.\nOn 2010/08/01, I spent some time gardening on 2010/08/01..\nOn 2010/08/02, I had indian food for lunch with Benjamin, Jackson, Avery, Willow.\nOn 2010/08/03, I spent some time gardening on 2010/08/03..\nOn 2010/08/05, I had pancakes for breakfast with Kayden, Andrew, Emily.\nOn 2010/08/05, I had sandwich for lunch with Emily, Kayden.\nOn 2010/08/05, I spent 16 talking to Layla, Nora on various topics in the morning..\nOn 2010/08/06, I did running on 2010/08/06..\nOn 2010/08/07, I had lunch. I ate a burger..\nOn 2010/08/07, I watched a movie for 18 minutes on TV today..\nOn 2010/08/08, I had breakfast. I ate pancakes..\nOn 2010/08/08, I spent 42 minutes reading a book today..\nOn 2010/08/09, I did weight lifting on 2010/08/09..\nOn 2010/08/09, I talked to Rylee, Kinsley, Nora for 43 minutes late in the evening..\nOn 2010/08/10, I had a burger for dinner with Avery, Willow.\nOn 2010/08/11, I bought some bananas, milk, pineapple juice, paper towel, mouthwash, shampoo online..\nOn 2010/08/11, I prepare chinese food for dinner..\nOn 2010/08/11, I talked to Piper for 29 minutes in the morning..\nOn 2010/08/11, I spent 20 minutes on a book today..\nOn 2010/08/12, I spent 55 minutes on news today..\nOn 2010/08/12, I watched news for 48 minutes on TV today..\nOn 2010/08/13, I went on a date with Elias on 2010/08/13 at a park.\nOn 2010/08/13, I had breakfast with Andrew, Kayden, Carter. I ate eggs, sausages, and bread..\nOn 2010/08/13, I had dinner with Piper, Nevaeh, Avery, Lydia, Kinsley, Layla, Rylee. I ate a burger..\nOn 2010/08/13, I spent 50 minutes on social media today..\nOn 2010/08/13, I watched a movie for 47 minutes on TV today..\nOn 2010/08/14, I talked to Claire, Piper, Avery, Olivia for 34 minutes in the morning..\nOn 2010/08/15, I spent 14 minutes watching a movie on TV today..\nOn 2010/08/16, I bought some nectarines, mandarins, cherres, tea, mango juice, sports drinks, body lotion, facial wash online..\nOn 2010/08/16, I ate tacos for lunch..\nOn 2010/08/16, I talked to Layla, Rylee, Eva for 55 minutes late in the evening..\nOn 2010/08/17, I spent 37 talking to Kinsley on various topics in the early afternoon..\nOn 2010/08/18, I went on a date with Aria on 2010/08/18 at a boba shop.\nOn 2010/08/18, I ate sandwich for dinner..\nOn 2010/08/18, I talked to Claire, Nevaeh, Kinsley, Piper for 15 minutes in the late afternoon..\nOn 2010/08/18, I spent 30 minutes reading social media today..\nOn 2010/08/20, I went for an annual physical checkup on 2010/08/20 at the private clinic..\nOn 2010/08/20, I had dinner. I ate chinese food..\nOn 2010/08/20, I spent 42 talking to Piper, Piper on various topics late in the evening..\nOn 2010/08/21, I had lunch with Benjamin, Jackson, Willow, Avery. I ate sushi..\nOn 2010/08/22, I ate peanut-butter-jam for breakfast..\nOn 2010/08/22, I spent 20 talking to Piper, Claire, Hazel, Piper on various topics in the early afternoon..\nOn 2010/08/23, I went on a date with Athena on 2010/08/23 at a boba shop.\nOn 2010/08/23, I did weight lifting on 2010/08/23..\nOn 2010/08/23, I had dinner. I ate fish and chips..\nOn 2010/08/23, I talked to Claire, Layla, Piper, Hazel for 43 minutes late in the evening..\nOn 2010/08/23, I spent 30 minutes reading news today..\nOn 2010/08/24, I spent 7 minutes watching news on TV today..\nOn 2010/08/25, I talked to Kinsley, Eva, Olivia for 23 minutes in the late afternoon..\nOn 2010/08/26, I spent 8 minutes on news today..\nOn 2010/08/27, I did hiking on 2010/08/27..\nOn 2010/08/27, I talked to Eva, Layla for 17 minutes during lunch hours..\nOn 2010/08/28, I had lunch with Eva, Kinsley, Layla, Nevaeh, Claire, Hazel, Olivia, Avery, Piper. I ate a burger..\nOn 2010/08/29, I spent 11 minutes on a book today..\nOn 2010/08/29, I spent 13 minutes watching a documentary on TV today..\nOn 2010/08/30, I did hiking on 2010/08/30..\nOn 2010/08/30, I spent 38 minutes watching a documentary on TV today..\nOn 2010/09/01, I had lunch with Kayden, Andrew, Emily, Carter. I ate a burger..\nOn 2010/09/01, I prepare fish and chips for dinner..\nOn 2010/09/01, I spent 38 talking to Layla, Kinsley, Rylee, Piper on various topics late in the evening..\nOn 2010/09/01, I spent 10 minutes watching a tv series on TV today..\nOn 2010/09/02, I had lunch. I ate tacos..\nOn 2010/09/02, I had dinner with Andrew, Kayden, Emily, Carter. I ate chinese food..\nOn 2010/09/03, I went on a date with Skylar on 2010/09/03 at a boba shop.\nOn 2010/09/03, I ate toast and cheese for breakfast..\nOn 2010/09/03, I spent 44 talking to Nora, Olivia, Eva, Claire on various topics during lunch hours..\nOn 2010/09/04, I had indian food for dinner with Emily, Andrew, Carter, Kayden.\nOn 2010/09/05, I talked to Claire, Nora, Layla for 52 minutes in the early afternoon..\nOn 2010/09/06, I spent 35 minutes reading social media today..\nOn 2010/09/07, I did weight lifting on 2010/09/07..\nOn 2010/09/07, I spent 31 minutes watching a documentary on TV today..\nOn 2010/09/09, I talked to Nora, Piper for 19 minutes in the late afternoon..\nOn 2010/09/09, I spent 23 minutes watching a tv series on TV today..\nOn 2010/09/10, I spent 51 talking to Claire, Avery, Layla on various topics in the late afternoon..\nOn 2010/09/10, I spent 34 minutes reading a book today..\nOn 2010/09/10, I watched a tv series for 32 minutes on TV today..\nOn 2010/09/11, I prepare peanut-butter-jam for breakfast..\nOn 2010/09/11, I talked to Lydia, Rylee, Piper, Hazel for 11 minutes in the early afternoon..\nOn 2010/09/12, I prepare chinese food for dinner..\nOn 2010/09/13, I did weight lifting on 2010/09/13..\nOn 2010/09/13, I had breakfast. I ate toast and cheese..\nOn 2010/09/14, I did biking on 2010/09/14..\nOn 2010/09/15, I had tacos for lunch with Emily, Kayden, Andrew, Carter.\nOn 2010/09/16, I bought some mandarins, mangos, milk, mineral water, sports drinks, guava juice, conditioner, paper towel, shaving cream from the grocery store. I saw Carter at the grocery store..\nOn 2010/09/16, I talked to Eva, Nora, Kinsley, Claire for 10 minutes in the early evening..\nOn 2010/09/17, I really enjoyed meditation on 2010/09/17.\nOn 2010/09/17, I had tacos for dinner with Kinsley, Hazel, Eva, Piper.\nOn 2010/09/17, I watched a documentary for 36 minutes on TV today..\nOn 2010/09/18, I did HIIT on 2010/09/18..\nOn 2010/09/18, I had eggs, sausages, and bread for breakfast with Jackson.\nOn 2010/09/18, I had lunch. I ate sandwich..\nOn 2010/09/18, I spent 14 talking to Eva, Lydia on various topics in the morning..\nOn 2010/09/19, I had breakfast with Willow, Benjamin, Jackson. I ate cereals..\nOn 2010/09/19, I talked to Kinsley, Eva, Nevaeh for 45 minutes during lunch hours..\nOn 2010/09/20, I had lunch with Nevaeh. I ate chinese food..\nOn 2010/09/20, I talked to Eva, Avery, Lydia, Piper for 29 minutes late in the evening..\nOn 2010/09/23, I had lunch with Eva, Lydia, Nevaeh, Hazel, Piper, Rylee, Layla, Kinsley, Piper. I ate sandwich..\nOn 2010/09/24, I spent 15 minutes watching a movie on TV today..\nOn 2010/09/25, I talked to Piper for 12 minutes in the early evening..\nOn 2010/09/25, I spent 37 minutes watching a tv series on TV today..\nOn 2010/09/26, I had lunch with Emily, Andrew. I ate sandwich..\nOn 2010/09/26, I spent 13 minutes on social media today..\nOn 2010/09/27, I did running on 2010/09/27..\nOn 2010/09/27, I had dinner. I ate sandwich..\nOn 2010/09/27, I spent 45 talking to Kinsley, Layla on various topics in the early afternoon..\nOn 2010/09/27, I watched a tv series for 30 minutes on TV today..\nOn 2010/09/28, I went for an annual dental cleaning and checkup on 2010/09/28 at the hospital..\nOn 2010/09/28, I had breakfast with Avery, Benjamin, Willow. I ate oatmeal..\nOn 2010/09/28, I had lunch with Emily, Andrew, Carter. I ate fish and chips..\nOn 2010/09/28, I spent 47 minutes watching a movie on TV today..\nOn 2010/09/29, I really enjoyed gardening on 2010/09/29.\nOn 2010/09/29, I ate eggs, sausages, and bread for breakfast..\nOn 2010/09/30, I had toast and cheese for breakfast with Carter.\nOn 2010/09/30, I prepare sandwich for dinner..\nOn 2010/09/30, I spent 39 talking to Olivia, Hazel, Piper, Piper on various topics in the morning..\nOn 2010/10/01, I had oatmeal for breakfast with Jackson.\nOn 2010/10/02, I prepare indian food for dinner..\nOn 2010/10/03, I did weight lifting on 2010/10/03..\nOn 2010/10/04, I prepare tacos for lunch..\nOn 2010/10/04, I spent 36 talking to Eva, Layla, Piper, Lydia on various topics in the late afternoon..\nOn 2010/10/05, I did swimming on 2010/10/05..\nOn 2010/10/05, I had lunch. I ate steak..\nOn 2010/10/05, I ate sushi for dinner..\nOn 2010/10/06, I spent 43 minutes on news today..\nOn 2010/10/08, I did swimming on 2010/10/08..\nOn 2010/10/11, I prepare steak for lunch..\nOn 2010/10/12, I had lunch with Emily, Kayden. I ate tacos..\nOn 2010/10/12, I talked to Olivia for 16 minutes in the early afternoon..\nOn 2010/10/13, I spent 32 talking to Rylee, Claire, Layla, Eva on various topics in the morning..\nOn 2010/10/15, I spent some time learning a language on 2010/10/15..\nOn 2010/10/15, I had lunch. I ate steak..\nOn 2010/10/15, I spent 37 minutes reading a book today..\nOn 2010/10/16, I bought some pears, mandarins, oranges, coffee, apple juice, orange juice, conditioner, shaving cream from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store..\nOn 2010/10/16, I did HIIT on 2010/10/16..\nOn 2010/10/16, I prepare fish and chips for dinner..\nOn 2010/10/16, I spent 46 minutes reading a book today..\nOn 2010/10/16, I spent 26 minutes watching a documentary on TV today..\nOn 2010/10/17, I spent 41 minutes watching a documentary on TV today..\nOn 2010/10/18, I ate indian food for lunch..\nOn 2010/10/18, I talked to Kinsley, Piper for 14 minutes in the early evening..\nOn 2010/10/19, I spent 54 minutes on a book today..\nOn 2010/10/21, I did swimming on 2010/10/21..\nOn 2010/10/21, I had steak for lunch with Emily, Carter.\nOn 2010/10/22, I prepare sushi for lunch..\nOn 2010/10/22, I had dinner with Kayden, Emily, Carter, Andrew. I ate steak..\nOn 2010/10/22, I watched a tv series for 26 minutes on TV today..\nOn 2010/10/23, I did HIIT on 2010/10/23..\nOn 2010/10/23, I spent 11 talking to Avery, Hazel, Olivia on various topics late in the evening..\nOn 2010/10/24, I prepare toast and cheese for breakfast..\nOn 2010/10/24, I had lunch. I ate pasta..\nOn 2010/10/25, I spent 12 minutes reading social media today..\nOn 2010/10/26, I ate sandwich for dinner..\nOn 2010/10/27, I went on a date with Leonardo on 2010/10/27 at a coffee Shop.\nOn 2010/10/27, I had dinner. I ate pasta..\nOn 2010/10/28, I did biking on 2010/10/28..\nOn 2010/10/30, I ate pasta for lunch..\nOn 2010/10/31, On 2010/10/31, I took Aaliyah on a date to a coffee Shop.\nOn 2010/10/31, I did hiking on 2010/10/31..\nOn 2010/10/31, I spent 53 minutes reading a book today..\nOn 2010/11/01, I did hiking on 2010/11/01..\nOn 2010/11/01, I had lunch. I ate a burger..\nOn 2010/11/01, I ate fish and chips for dinner..\nOn 2010/11/02, I spent 25 minutes on a book today..\nOn 2010/11/03, I bought some nectarines, watermelons, mandarins, orange juice, milk, chocolate milk, toilet paper, toothpaste, conditioner, shampoo online..\nOn 2010/11/03, I did weight lifting on 2010/11/03..\nOn 2010/11/03, I ate a burger for dinner..\nOn 2010/11/06, I ate sushi for lunch..\nOn 2010/11/06, I prepare tacos for dinner..\nOn 2010/11/06, I spent 32 minutes on news today..\nOn 2010/11/06, I spent 12 minutes watching a movie on TV today..\nOn 2010/11/07, I spent 5 talking to Claire on various topics in the early afternoon..\nOn 2010/11/10, I went grocery shopping. I bought some mangos, strawberries, watermelons, blackberries, apple juice, coffee, and conditioner.\nOn 2010/11/10, I watched a documentary for 17 minutes on TV today..\nOn 2010/11/12, I prepare chinese food for lunch..\nOn 2010/11/12, I spent 46 talking to Hazel, Lydia on various topics in the late afternoon..\nOn 2010/11/13, I had a burger for dinner with Emily, Andrew, Carter.\nOn 2010/11/14, I did running on 2010/11/14..\nOn 2010/11/14, I prepare steak for lunch..\nOn 2010/11/14, I prepare pasta for dinner..\nOn 2010/11/15, I spent 13 talking to Nora, Olivia, Nevaeh on various topics during lunch hours..\nOn 2010/11/16, I talked to Layla, Olivia, Eva for 16 minutes in the early afternoon..\nOn 2010/11/17, I prepare chinese food for lunch..\nOn 2010/11/17, I spent 12 minutes watching a movie on TV today..\nOn 2010/11/20, On 2010/11/20, I took Anthony on a date to a coffee Shop.\nOn 2010/11/21, I watched a tv series for 13 minutes on TV today..\nOn 2010/11/22, I had lunch with Kayden, Andrew, Carter. I ate sandwich..\nOn 2010/11/24, I did biking on 2010/11/24..\nOn 2010/11/24, I talked to Claire, Eva for 40 minutes during lunch hours..\nOn 2010/11/24, I spent 13 minutes on a book today..\nOn 2010/11/26, I had lunch. I ate fish and chips..\nOn 2010/11/26, I prepare fish and chips for dinner..\nOn 2010/11/27, I talked to Layla, Piper for 34 minutes during lunch hours..\nOn 2010/11/27, I spent 12 minutes reading news today..\nOn 2010/11/29, I spent some time meditation on 2010/11/29..\nOn 2010/11/30, I had steak for lunch with Jackson.\nOn 2010/12/01, I spent 26 minutes on news today..\nOn 2010/12/02, I spent 23 minutes on a book today..\nOn 2010/12/03, I spent time gardening on 2010/12/03 with Kayden, Carter..\nOn 2010/12/03, I talked to Nora, Eva, Nevaeh for 22 minutes late in the evening..\nOn 2010/12/04, I had lunch with Piper, Lydia, Nevaeh, Hazel, Claire, Eva, Kinsley, Piper, Layla. I ate chinese food..\nOn 2010/12/04, I talked to Avery for 28 minutes in the late afternoon..\nOn 2010/12/04, I spent 13 minutes reading a book today..\nOn 2010/12/04, I spent 39 minutes watching a movie on TV today..\nOn 2010/12/05, I went on a date with Ava on 2010/12/05 at a park.\nOn 2010/12/05, I prepare cereals for breakfast..\nOn 2010/12/05, I watched a documentary for 21 minutes on TV today..\nOn 2010/12/06, I had sushi for dinner with Olivia, Nora, Eva, Layla, Lydia, Piper, Avery, Kinsley, Hazel, Rylee, Piper, Claire, Nevaeh.\nOn 2010/12/07, I spent 6 minutes watching a movie on TV today..\nOn 2010/12/08, I bought some apricots, mandarins, soda, pineapple juice, toothpaste, shampoo, paper towel online..\nOn 2010/12/09, I talked to Piper, Layla for 53 minutes late in the evening..\nOn 2010/12/10, I had pasta for lunch with Kayden, Carter, Andrew, Emily.\nOn 2010/12/10, I had dinner. I ate sushi..\nOn 2010/12/10, I spent 46 talking to Kinsley, Nevaeh, Olivia, Piper on various topics late in the evening..\nOn 2010/12/11, I spent 45 talking to Hazel, Eva on various topics in the late afternoon..\nOn 2010/12/12, I went on a date with Henry on 2010/12/12 at a restaurant.\nOn 2010/12/12, I talked to Kinsley, Nevaeh, Layla for 20 minutes in the morning..\nOn 2010/12/12, I spent 30 minutes watching news on TV today..\nOn 2010/12/13, I spent 43 minutes watching a tv series on TV today..\nOn 2010/12/14, I bought some cherres, apples, watermelons, apricots, chocolate milk, shampoo, toilet paper from the grocery store. I saw Claire, Eva at the grocery store..\nOn 2010/12/14, I had breakfast with Emily, Kayden. I ate oatmeal..\nOn 2010/12/14, I had lunch. I ate sushi..\nOn 2010/12/14, I had dinner. I ate steak..\nOn 2010/12/16, I had breakfast with Kayden, Carter. I ate oatmeal..\nOn 2010/12/16, I talked to Lydia, Olivia, Layla, Nora for 38 minutes in the morning..\nOn 2010/12/16, I spent 12 minutes on social media today..\nOn 2010/12/17, I spent 45 talking to Piper, Nevaeh, Olivia, Eva on various topics in the morning..\nOn 2010/12/18, I talked to Nevaeh, Rylee, Lydia, Piper for 23 minutes in the morning..\nOn 2010/12/19, I spent 50 minutes reading social media today..\nOn 2010/12/19, I watched a documentary for 54 minutes on TV today..\nOn 2010/12/20, I went on a date with Jace on 2010/12/20 at a restaurant.\nOn 2010/12/20, I bought some oranges, sports drinks, orange juice, mouthwash, facial wash, shampoo, conditioner online..\nOn 2010/12/20, I spent 13 minutes reading social media today..\nOn 2010/12/21, I did HIIT on 2010/12/21..\nOn 2010/12/22, I did HIIT on 2010/12/22..\nOn 2010/12/23, I prepare pancakes for breakfast..\nOn 2010/12/23, I talked to Claire, Piper, Eva for 28 minutes in the early afternoon..\nOn 2010/12/24, I spent 11 minutes on social media today..\nOn 2010/12/25, I talked to Piper for 18 minutes in the late afternoon..\nOn 2010/12/26, I prepare eggs, sausages, and bread for breakfast..\nOn 2010/12/26, I talked to Olivia, Piper for 52 minutes in the late afternoon..\nOn 2010/12/27, I bought some raspberries, clementines, peaches, mineral water, soda, sports drinks, orange juice, toilet paper, shampoo from the grocery store. I saw Nora, Rylee, Piper, Piper at the grocery store..\nOn 2010/12/28, I had dinner with Willow, Benjamin. I ate steak..\nOn 2010/12/28, I spent 47 talking to Claire, Hazel, Eva, Kinsley on various topics in the early afternoon..\nOn 2010/12/28, I spent 32 minutes reading social media today..\nOn 2010/12/29, I did weight lifting on 2010/12/29..\nOn 2010/12/29, I talked to Kinsley, Nevaeh for 16 minutes in the early afternoon..\nOn 2010/12/29, I spent 52 minutes watching a tv series on TV today..\nOn 2010/12/30, I did hiking on 2010/12/30..\nOn 2010/12/30, I spent 16 talking to Avery, Hazel, Claire, Olivia on various topics in the late afternoon..\nOn 2011/01/01, I bought some apricots, pineapple juice, sports drinks, body lotion, mouth wash, toothpaste, facial wash online..\nOn 2011/01/01, I did biking on 2011/01/01..\nOn 2011/01/02, I spent some time working out on 2011/01/02..\nOn 2011/01/02, I had breakfast with Kayden. I ate oatmeal..\nOn 2011/01/03, I did running on 2011/01/03..\nOn 2011/01/03, I prepare oatmeal for breakfast..\nOn 2011/01/03, I prepare chinese food for lunch..\nOn 2011/01/04, I ate chinese food for dinner..\nOn 2011/01/04, I spent 18 minutes watching a movie on TV today..\nOn 2011/01/06, I had dinner. I ate pasta..\nOn 2011/01/06, I spent 6 talking to Lydia, Hazel, Avery, Layla on various topics during lunch hours..\nOn 2011/01/06, I spent 9 minutes on social media today..\nOn 2011/01/07, I really enjoyed meditation on 2011/01/07.\nOn 2011/01/07, I went grocery shopping with Emily. I bought some apples, raspberries, guava juice, pineapple juice, mineral water, and body lotion, conditioner, toothbrush.\nOn 2011/01/07, I did swimming on 2011/01/07..\nOn 2011/01/07, I had pasta for lunch with Carter, Emily, Kayden.\nOn 2011/01/07, I watched a movie for 48 minutes on TV today..\nOn 2011/01/08, I spent 42 talking to Eva, Piper, Kinsley, Olivia on various topics late in the evening..\nOn 2011/01/09, I had breakfast with Avery, Benjamin. I ate cereals..\nOn 2011/01/09, I prepare indian food for lunch..\nOn 2011/01/10, I had tacos for lunch with Carter, Andrew, Emily, Kayden.\nOn 2011/01/11, I did biking on 2011/01/11..\nOn 2011/01/11, I had lunch with Andrew, Kayden. I ate chinese food..\nOn 2011/01/11, I talked to Claire, Lydia, Piper, Olivia for 22 minutes in the late afternoon..\nOn 2011/01/12, I did HIIT on 2011/01/12..\nOn 2011/01/12, I spent 12 talking to Hazel on various topics in the early evening..\nOn 2011/01/12, I spent 13 minutes reading social media today..\nOn 2011/01/13, I did weight lifting on 2011/01/13..\nOn 2011/01/13, I spent 42 talking to Hazel, Avery on various topics in the early afternoon..\nOn 2011/01/14, I spent 48 talking to Layla, Eva on various topics in the late afternoon..\nOn 2011/01/17, I spent 14 minutes on a book today..\nOn 2011/01/18, I spent 45 talking to Piper, Lydia, Olivia on various topics in the late afternoon..\nOn 2011/01/19, I talked to Eva, Layla, Nevaeh, Piper for 33 minutes in the late afternoon..\nOn 2011/01/20, I went for an annual dental cleaning and checkup on 2011/01/20 at the private clinic..\nOn 2011/01/20, I had fish and chips for lunch with Kayden, Emily.\nOn 2011/01/20, I spent 7 talking to Layla, Nora, Nevaeh on various topics during lunch hours..\nOn 2011/01/21, I went grocery shopping with Emily, Carter, Kayden, Andrew. I bought some apricots, guava, blueberries, peaches, pineapple juice, mineral water, sports drinks, and facial wash, shampoo.\nOn 2011/01/22, I did hiking on 2011/01/22..\nOn 2011/01/22, I ate toast and cheese for breakfast..\nOn 2011/01/23, I prepare cereals for breakfast..\nOn 2011/01/24, I did swimming on 2011/01/24..\nOn 2011/01/24, I had lunch. I ate steak..\nOn 2011/01/25, I had toast and cheese for breakfast with Jackson, Avery, Willow.\nOn 2011/01/25, I spent 23 minutes on social media today..\nOn 2011/01/27, I did HIIT on 2011/01/27..\nOn 2011/01/27, I ate oatmeal for breakfast..\nOn 2011/01/27, I had lunch. I ate chinese food..\nOn 2011/01/27, I spent 16 talking to Lydia, Olivia, Piper on various topics in the early afternoon..\nOn 2011/01/28, I did running on 2011/01/28..\nOn 2011/01/28, I ate steak for lunch..\nOn 2011/01/28, I spent 7 talking to Rylee, Lydia, Nevaeh, Nora on various topics in the early afternoon..\nOn 2011/01/29, I ate tacos for lunch..\nOn 2011/01/31, I did biking on 2011/01/31..\nOn 2011/01/31, I had breakfast. I ate pancakes..\nOn 2011/01/31, I had dinner with Benjamin, Willow, Avery, Jackson. I ate tacos..\nOn 2011/02/01, I had dinner with Carter, Emily, Kayden, Andrew. I ate chinese food..\nOn 2011/02/01, I spent 10 talking to Rylee, Piper, Nora, Olivia on various topics in the early evening..\nOn 2011/02/02, I did swimming on 2011/02/02..\nOn 2011/02/02, I talked to Avery, Piper, Nora for 19 minutes in the morning..\nOn 2011/02/03, I did running on 2011/02/03..\nOn 2011/02/03, I spent 44 minutes watching a documentary on TV today..\nOn 2011/02/04, I spent 45 talking to Avery, Layla, Rylee, Piper on various topics in the morning..\nOn 2011/02/04, I spent 44 minutes watching a tv series on TV today..\nOn 2011/02/05, I went on a date with Paisley on 2011/02/05 at a coffee Shop.\nOn 2011/02/05, I did HIIT on 2011/02/05..\nOn 2011/02/06, I prepare tacos for dinner..\nOn 2011/02/06, I spent 7 talking to Olivia, Kinsley, Nevaeh, Nora on various topics in the morning..\nOn 2011/02/07, I talked to Piper, Nora for 27 minutes in the late afternoon..\nOn 2011/02/07, I spent 41 minutes watching a movie on TV today..\nOn 2011/02/09, I did swimming on 2011/02/09..\nOn 2011/02/09, I had pasta for lunch with Piper, Hazel, Layla, Rylee, Kinsley, Eva, Piper, Avery, Claire, Olivia.\nOn 2011/02/09, I spent 55 minutes reading a book today..\nOn 2011/02/10, I prepare steak for lunch..\nOn 2011/02/11, I had breakfast with Emily, Carter. I ate toast and cheese..\nOn 2011/02/11, I spent 27 minutes watching a tv series on TV today..\nOn 2011/02/12, I did weight lifting on 2011/02/12..\nOn 2011/02/12, I spent 20 minutes reading a book today..\nOn 2011/02/12, I spent 12 minutes watching a movie on TV today..\nOn 2011/02/13, I did running on 2011/02/13..\nOn 2011/02/13, I had breakfast with Kinsley, Lydia, Rylee, Piper, Nevaeh, Nora, Piper, Hazel, Layla, Olivia, Avery. I ate peanut-butter-jam..\nOn 2011/02/13, I had dinner. I ate chinese food..\nOn 2011/02/13, I spent 11 talking to Nevaeh on various topics in the early evening..\nOn 2011/02/15, On 2011/02/15, I took Marzieh on a date to a restaurant.\nOn 2011/02/16, I had dinner. I ate indian food..\nOn 2011/02/16, I talked to Avery, Lydia for 43 minutes during lunch hours..\nOn 2011/02/17, I ate a burger for lunch..\nOn 2011/02/18, I spent 5 minutes watching a movie on TV today..\nOn 2011/02/19, I had dinner with Willow, Avery, Benjamin. I ate tacos..\nOn 2011/02/20, I spent time meditation on 2011/02/20 with Emily..\nOn 2011/02/20, I prepare indian food for lunch..\nOn 2011/02/20, I watched a movie for 6 minutes on TV today..\nOn 2011/02/21, I had peanut-butter-jam for breakfast with Willow.\nOn 2011/02/21, I spent 44 talking to Lydia, Rylee, Olivia, Nora on various topics late in the evening..\nOn 2011/02/21, I spent 18 minutes on social media today..\nOn 2011/02/22, I spent 30 minutes on social media today..\nOn 2011/02/23, I bought some guava, watermelons, mandarins, oranges, chocolate milk, sports drinks, conditioner, paper towel, toilet paper online..\nOn 2011/02/24, I did swimming on 2011/02/24..\nOn 2011/02/24, I watched a documentary for 28 minutes on TV today..\nOn 2011/02/25, I spent some time yoga on 2011/02/25..\nOn 2011/02/25, I did running on 2011/02/25..\nOn 2011/02/25, I had breakfast with Carter, Andrew. I ate eggs, sausages, and bread..\nOn 2011/02/25, I spent 51 minutes reading news today..\nOn 2011/02/26, I had chinese food for dinner with Benjamin.\nOn 2011/02/26, I spent 5 minutes watching a movie on TV today..\nOn 2011/02/27, I ate steak for dinner..\nOn 2011/02/27, I spent 41 minutes reading a book today..\nOn 2011/02/28, I went grocery shopping. I bought some guava, bananas, blackberries, cherres, mineral water, and toothbrush.\nOn 2011/03/01, I spent time yoga on 2011/03/01 with Claire, Hazel..\nOn 2011/03/02, I spent 20 talking to Nevaeh, Hazel, Claire, Piper on various topics in the early evening..\nOn 2011/03/02, I spent 23 minutes reading news today..\nOn 2011/03/03, I had breakfast. I ate cereals..\nOn 2011/03/04, I spent 11 talking to Kinsley on various topics in the early afternoon..\nOn 2011/03/04, I spent 5 minutes on a book today..\nOn 2011/03/05, I prepare toast and cheese for breakfast..\nOn 2011/03/06, I ate eggs, sausages, and bread for breakfast..\nOn 2011/03/06, I spent 34 talking to Kinsley on various topics in the late afternoon..\nOn 2011/03/07, I talked to Nora, Kinsley, Hazel, Avery for 20 minutes in the late afternoon..\nOn 2011/03/07, I watched a tv series for 6 minutes on TV today..\nOn 2011/03/08, I had pasta for lunch with Emily.\nOn 2011/03/08, I had dinner. I ate sandwich..\nOn 2011/03/10, I had dinner with Andrew, Kayden. I ate pasta..\nOn 2011/03/10, I watched a tv series for 19 minutes on TV today..\nOn 2011/03/11, On 2011/03/11, I took Peyton on a date to a coffee Shop.\nOn 2011/03/11, I went grocery shopping with Andrew, Kayden. I bought some watermelons, blackberries, peaches, bananas, milk, mineral water, guava juice, apple juice, and body lotion.\nOn 2011/03/11, I prepare a burger for lunch..\nOn 2011/03/12, I spent 40 minutes on social media today..\nOn 2011/03/13, I bought some apples, mandarins, apricots, chocolate milk, mineral water, apple juice, toothbrush, mouthwash, shampoo from the grocery store. I saw Avery, Benjamin, Jackson at the grocery store..\nOn 2011/03/15, I spent 26 talking to Lydia, Piper, Piper, Layla on various topics in the early afternoon..\nOn 2011/03/15, I spent 31 minutes reading news today..\nOn 2011/03/16, I watched a documentary for 28 minutes on TV today..\nOn 2011/03/17, I did swimming on 2011/03/17..\nOn 2011/03/18, I had dinner. I ate pasta..\nOn 2011/03/19, I prepare toast and cheese for breakfast..\nOn 2011/03/19, I prepare steak for lunch..\nOn 2011/03/19, I prepare pasta for dinner..\nOn 2011/03/19, I spent 19 minutes on a book today..\nOn 2011/03/19, I spent 15 minutes watching news on TV today..\nOn 2011/03/20, I did weight lifting on 2011/03/20..\nOn 2011/03/20, I ate chinese food for lunch..\nOn 2011/03/21, I did biking on 2011/03/21..\nOn 2011/03/21, I spent 54 minutes watching a movie on TV today..\nOn 2011/03/22, I had breakfast. I ate toast and cheese..\nOn 2011/03/22, I had lunch with Olivia, Hazel, Rylee, Lydia, Claire. I ate chinese food..\nOn 2011/03/22, I had dinner with Piper, Avery, Olivia, Hazel. I ate pasta..\nOn 2011/03/22, I watched a movie for 32 minutes on TV today..\nOn 2011/03/23, I went grocery shopping with Kayden. I bought some strawberries, apples, raspberries, pineapples, coffee, orange juice, and toothpaste, shampoo, body lotion.\nOn 2011/03/23, I did biking on 2011/03/23..\nOn 2011/03/24, I spent 37 minutes reading a book today..\nOn 2011/03/27, my parents for their and I went for an annual physical checkup at the hospital on 2011/03/27..\nOn 2011/03/27, I did biking on 2011/03/27..\nOn 2011/03/27, I spent 49 talking to Piper, Lydia on various topics during lunch hours..\nOn 2011/03/29, I prepare steak for lunch..\nOn 2011/03/29, I spent 46 minutes watching news on TV today..\nOn 2011/03/30, I ate cereals for breakfast..\nOn 2011/03/30, I had chinese food for dinner with Claire, Layla, Hazel, Kinsley, Nevaeh, Avery.\nOn 2011/03/30, I talked to Avery, Nora, Piper, Nevaeh for 37 minutes in the early afternoon..\nOn 2011/03/30, I spent 22 minutes watching a tv series on TV today..\nOn 2011/03/31, I had breakfast. I ate pancakes..\nOn 2011/04/01, I went on a date with Eleanor on 2011/04/01 at a restaurant.\nOn 2011/04/01, I did swimming on 2011/04/01..\nOn 2011/04/01, I talked to Piper, Piper, Lydia for 35 minutes in the early evening..\nOn 2011/04/02, I bought some pineapples, pears, oranges, guava juice, orange juice, shaving cream, paper towel, conditioner, toilet paper from the grocery store. I saw Kayden, Emily, Andrew, Carter at the grocery store..\nOn 2011/04/02, I prepare peanut-butter-jam for breakfast..\nOn 2011/04/02, I prepare sushi for lunch..\nOn 2011/04/02, I talked to Kinsley, Eva for 25 minutes during lunch hours..\nOn 2011/04/04, I had pasta for dinner with Piper, Piper, Nevaeh, Nora, Eva, Layla, Olivia.\nOn 2011/04/04, I spent 44 minutes on social media today..\nOn 2011/04/05, I went grocery shopping with Andrew, Emily, Carter, Kayden. I bought some pineapples, mangos, soda, mango juice, and shampoo, mouth wash, conditioner, toothpaste.\nOn 2011/04/05, I talked to Eva, Hazel, Rylee for 9 minutes in the late afternoon..\nOn 2011/04/05, I spent 23 minutes on news today..\nOn 2011/04/06, I prepare oatmeal for breakfast..\nOn 2011/04/06, I prepare pasta for dinner..\nOn 2011/04/06, I spent 18 talking to Claire, Piper on various topics during lunch hours..\nOn 2011/04/06, I spent 20 minutes reading social media today..\nOn 2011/04/07, I spent 35 talking to Kinsley, Lydia on various topics in the morning..\nOn 2011/04/08, I did hiking on 2011/04/08..\nOn 2011/04/09, I went grocery shopping with Emily. I bought some watermelons, mangos, strawberries, bananas, chocolate milk, mineral water, pineapple juice, and paper towel, shampoo, toothbrush, mouth wash.\nOn 2011/04/09, I ate fish and chips for lunch..\nOn 2011/04/09, I watched news for 10 minutes on TV today..\nOn 2011/04/10, I had pasta for lunch with Benjamin, Avery, Willow, Jackson.\nOn 2011/04/10, I talked to Kinsley, Piper, Piper, Claire for 46 minutes in the early afternoon..\nOn 2011/04/11, I spent some time working out on 2011/04/11..\nOn 2011/04/11, I had chinese food for lunch with Emily, Andrew, Carter, Kayden.\nOn 2011/04/11, I spent 10 talking to Kinsley, Rylee on various topics in the late afternoon..\nOn 2011/04/11, I spent 11 minutes reading a book today..\nOn 2011/04/12, I had dinner with Andrew, Emily, Carter, Kayden. I ate fish and chips..\nOn 2011/04/12, I spent 18 minutes on social media today..\nOn 2011/04/13, I had lunch with Piper, Avery, Claire, Lydia, Hazel, Nora. I ate tacos..\nOn 2011/04/13, I had tacos for dinner with Jackson, Benjamin, Willow.\nOn 2011/04/13, I watched a tv series for 47 minutes on TV today..\nOn 2011/04/14, I talked to Eva for 14 minutes late in the evening..\nOn 2011/04/14, I spent 37 minutes reading a book today..\nOn 2011/04/14, I spent 20 minutes watching news on TV today..\nOn 2011/04/15, On 2011/04/15, I took Hannah on a date to a park.\nOn 2011/04/15, I had breakfast. I ate toast and cheese..\nOn 2011/04/16, I ate cereals for breakfast..\nOn 2011/04/16, I had dinner with Jackson, Benjamin, Willow, Avery. I ate indian food..\nOn 2011/04/16, I spent 33 minutes on news today..\nOn 2011/04/16, I spent 22 minutes watching a movie on TV today..\nOn 2011/04/17, I spent time working out on 2011/04/17 with Kinsley, Claire, Nevaeh..\nOn 2011/04/17, I did hiking on 2011/04/17..\nOn 2011/04/18, I ate sushi for dinner..\nOn 2011/04/18, I talked to Piper, Kinsley, Nevaeh, Rylee for 44 minutes during lunch hours..\nOn 2011/04/20, I had breakfast with Willow. I ate oatmeal..\nOn 2011/04/20, I talked to Lydia, Layla for 44 minutes in the early afternoon..\nOn 2011/04/21, I spent some time working out on 2011/04/21..\nOn 2011/04/21, I talked to Piper, Layla, Claire for 14 minutes in the early afternoon..\nOn 2011/04/22, I spent 12 minutes watching a tv series on TV today..\nOn 2011/04/23, I did hiking on 2011/04/23..\nOn 2011/04/25, I spent time yoga on 2011/04/25 with Avery, Willow..\nOn 2011/04/25, I spent 43 talking to Olivia, Nora, Piper, Hazel on various topics late in the evening..\nOn 2011/04/25, I spent 37 minutes on news today..\nOn 2011/04/26, I talked to Layla, Lydia, Avery for 44 minutes in the late afternoon..\nOn 2011/04/26, I spent 25 minutes watching news on TV today..\nOn 2011/04/28, I had lunch with Emily, Kayden. I ate tacos..\nOn 2011/04/29, I had dinner with Benjamin, Avery. I ate fish and chips..\nOn 2011/04/29, I spent 6 talking to Hazel, Eva, Olivia on various topics in the morning..\nOn 2011/04/29, I spent 32 minutes on news today..\nOn 2011/04/30, I had sandwich for lunch with Andrew, Kayden.\nOn 2011/04/30, I had steak for dinner with Kayden, Andrew, Emily, Carter.\nOn 2011/04/30, I talked to Hazel, Lydia, Rylee, Avery for 48 minutes in the early afternoon..\nOn 2011/04/30, I spent 55 minutes on a book today..\nOn 2011/05/02, I did biking on 2011/05/02..\nOn 2011/05/02, I had peanut-butter-jam for breakfast with Andrew, Carter.\nOn 2011/05/02, I had dinner with Willow. I ate pasta..\nOn 2011/05/02, I spent 43 talking to Rylee, Kinsley, Claire, Piper on various topics in the early evening..\nOn 2011/05/03, I spent 29 talking to Piper, Piper, Rylee on various topics in the early afternoon..\nOn 2011/05/03, I spent 28 minutes watching a movie on TV today..\nOn 2011/05/04, I did HIIT on 2011/05/04..\nOn 2011/05/04, I had indian food for dinner with Carter, Kayden, Emily, Andrew.\nOn 2011/05/05, I talked to Nora, Olivia, Claire, Layla for 41 minutes in the early afternoon..\nOn 2011/05/06, I spent some time gardening on 2011/05/06..\nOn 2011/05/06, I spent 18 minutes on social media today..\nOn 2011/05/07, I went grocery shopping with Emily, Andrew. I bought some bananas, raspberries, strawberries, apple juice, pineapple juice, and conditioner, body lotion, shampoo, toothbrush.\nOn 2011/05/07, I had lunch with Piper, Nora, Rylee, Layla, Avery, Kinsley, Nevaeh, Eva, Piper, Hazel. I ate steak..\nOn 2011/05/08, On 2011/05/08 Benjamin, Avery and I went to London, UK together for 14 days .\nOn 2011/05/09, During my trip to London, UK, I visited Tower of London on 2011/05 with Benjamin, Avery..\nOn 2011/05/09, I ate Chinese food at Broadway Market with Benjamin, Avery on  2011/05/09 when I was in London, UK..\nOn 2011/05/10, During my trip to London, UK, I visited London Eye on 2011/05 with Benjamin, Avery..\nOn 2011/05/10, I ate Japanese food at Berwick Street Market with Benjamin, Avery on  2011/05/10 when I was in London, UK..\nOn 2011/05/10, I had a burger for lunch with Kayden, Andrew, Emily.\nOn 2011/05/10, I talked to Rylee, Lydia, Hazel, Olivia for 5 minutes in the late afternoon..\nOn 2011/05/11, During my trip to London, UK, I visited Westminster on 2011/05 with Benjamin, Avery..\nOn 2011/05/11, I ate Italian food at Berwick Street Market with Benjamin, Avery on  2011/05/11 when I was in London, UK..\nOn 2011/05/11, I spent 20 talking to Hazel, Nora, Avery on various topics in the early afternoon..\nOn 2011/05/12, During my trip to London, UK, I visited Camden on 2011/05 with Benjamin, Avery..\nOn 2011/05/12, I ate Italian food at Broadway Market with Benjamin, Avery on  2011/05/12 when I was in London, UK..\nOn 2011/05/12, I went on a date with Silas on 2011/05/12 at a boba shop.\nOn 2011/05/12, I had lunch with Layla, Piper, Olivia. I ate steak..\nOn 2011/05/13, During my trip to London, UK, I visited Hyde Park on 2011/05 with Benjamin, Avery..\nOn 2011/05/13, I spent 14 minutes on a book today..\nOn 2011/05/14, I ate Italian food at Broadway Market with Benjamin, Avery on  2011/05/14 when I was in London, UK..\nOn 2011/05/14, I ate a burger for lunch..\nOn 2011/05/15, I ate Indian food at Berwick Street Market with Benjamin, Avery on  2011/05/15 when I was in London, UK..\nOn 2011/05/15, I went on a date with Isla on 2011/05/15 at a coffee Shop.\nOn 2011/05/16, I ate fish and chips for lunch..\nOn 2011/05/16, I had steak for dinner with Andrew, Carter, Emily, Kayden.\nOn 2011/05/16, I talked to Layla, Rylee, Nora, Nevaeh for 50 minutes in the morning..\nOn 2011/05/17, I ate Indian food at Bang Bang Oriental with Benjamin, Avery on  2011/05/17 when I was in London, UK..\nOn 2011/05/17, On 2011/05/17, I took Gianna on a date to a park.\nOn 2011/05/17, I prepare peanut-butter-jam for breakfast..\nOn 2011/05/18, I ate Chinese food at Bang Bang Oriental with Benjamin, Avery on  2011/05/18 when I was in London, UK..\nOn 2011/05/18, I had breakfast. I ate peanut-butter-jam..\nOn 2011/05/18, I had dinner. I ate tacos..\nOn 2011/05/19, I ate street food at Buck Street Market with Benjamin, Avery on  2011/05/19 when I was in London, UK..\nOn 2011/05/19, I had indian food for dinner with Carter, Andrew.\nOn 2011/05/20, I ate Chinese food at Broadway Market with Benjamin, Avery on  2011/05/20 when I was in London, UK..\nOn 2011/05/20, I had toast and cheese for breakfast with Andrew, Emily.\nOn 2011/05/21, I spent 18 talking to Nevaeh, Piper on various topics in the early evening..\nOn 2011/05/21, I spent 34 minutes watching news on TV today..\nOn 2011/05/22, I ate Italian food at Broadway Market with Benjamin, Avery on  2011/05/22 when I was in London, UK..\nOn 2011/05/22, I watched a tv series for 13 minutes on TV today..\nOn 2011/05/23, I talked to Eva, Nevaeh for 52 minutes in the early afternoon..\nOn 2011/05/25, I had breakfast with Jackson. I ate peanut-butter-jam..\nOn 2011/05/25, I spent 49 talking to Nora, Rylee on various topics in the morning..\nOn 2011/05/26, I bought some mangos, raspberries, apricots, pineapples, soda, guava juice, conditioner, body lotion from the grocery store. I saw Carter, Emily, Kayden at the grocery store..\nOn 2011/05/26, I spent 32 talking to Claire, Piper on various topics late in the evening..\nOn 2011/05/26, I spent 37 minutes on a book today..\nOn 2011/05/27, I prepare peanut-butter-jam for breakfast..\nOn 2011/05/30, I talked to Rylee for 47 minutes during lunch hours..\nOn 2011/05/30, I watched a tv series for 45 minutes on TV today..\nOn 2011/05/31, I spent 30 minutes reading news today..\nOn 2011/06/01, I talked to Hazel, Kinsley, Lydia for 34 minutes in the late afternoon..\nOn 2011/06/02, I had sandwich for dinner with Carter.\nOn 2011/06/03, I did biking on 2011/06/03..\nOn 2011/06/03, I ate sandwich for lunch..\nOn 2011/06/04, I spent 9 minutes watching a movie on TV today..\nOn 2011/06/05, I bought some peaches, pineapples, raspberries, guava juice, mineral water, toothbrush, mouth wash, toilet paper, shampoo from the grocery store. I saw Andrew, Emily at the grocery store..\nOn 2011/06/05, I had toast and cheese for breakfast with Emily.\nOn 2011/06/05, I had lunch. I ate indian food..\nOn 2011/06/05, I spent 11 talking to Piper, Nora on various topics late in the evening..\nOn 2011/06/06, On 2011/06/06, I took Lillian on a date to a restaurant.\nOn 2011/06/06, I did hiking on 2011/06/06..\nOn 2011/06/06, I prepare fish and chips for lunch..\nOn 2011/06/06, I spent 7 minutes on social media today..\nOn 2011/06/06, I watched a documentary for 54 minutes on TV today..\nOn 2011/06/07, I had a burger for dinner with Kayden, Emily, Carter.\nOn 2011/06/08, I spent 53 minutes on news today..\nOn 2011/06/08, I watched a documentary for 44 minutes on TV today..\nOn 2011/06/09, I did running on 2011/06/09..\nOn 2011/06/09, I had lunch with Benjamin, Avery, Willow. I ate steak..\nOn 2011/06/09, I prepare chinese food for dinner..\nOn 2011/06/10, I did biking on 2011/06/10..\nOn 2011/06/10, I had lunch. I ate fish and chips..\nOn 2011/06/11, I spent 48 minutes reading news today..\nOn 2011/06/13, I spent 20 talking to Nora on various topics in the early afternoon..\nOn 2011/06/13, I spent 52 minutes watching news on TV today..\nOn 2011/06/14, I had sushi for dinner with Jackson, Avery.\nOn 2011/06/14, I spent 40 talking to Avery, Rylee on various topics late in the evening..\nOn 2011/06/14, I spent 13 minutes reading social media today..\nOn 2011/06/14, I spent 46 minutes watching news on TV today..\nOn 2011/06/15, I had dinner. I ate steak..\nOn 2011/06/15, I watched a documentary for 8 minutes on TV today..\nOn 2011/06/16, I bought some cherres, mangos, peaches, blackberries, coffee, guava juice, soda, chocolate milk, shampoo, paper towel from the grocery store. I saw Nevaeh, Claire, Eva, Lydia, Kinsley, Olivia, Nora, Piper, Layla, Avery, Hazel at the grocery store..\nOn 2011/06/16, I did swimming on 2011/06/16..\nOn 2011/06/17, I spent 33 talking to Nora, Hazel on various topics late in the evening..\nOn 2011/06/17, I watched a movie for 55 minutes on TV today..\nOn 2011/06/18, I spent 41 talking to Hazel, Claire, Rylee, Olivia on various topics in the early afternoon..\nOn 2011/06/18, I spent 20 minutes reading a book today..\nOn 2011/06/18, I spent 6 minutes watching a movie on TV today..\nOn 2011/06/19, I spent 7 minutes watching a documentary on TV today..\nOn 2011/06/20, I did running on 2011/06/20..\nOn 2011/06/21, I talked to Kinsley, Rylee, Nevaeh, Nora for 45 minutes late in the evening..\nOn 2011/06/21, I spent 11 minutes on news today..\nOn 2011/06/22, I spent 29 talking to Lydia, Eva on various topics in the early afternoon..\nOn 2011/06/22, I watched a movie for 20 minutes on TV today..\nOn 2011/06/23, I prepare steak for dinner..\nOn 2011/06/24, I went grocery shopping. I bought some apples, mandarins, peaches, chocolate milk, mineral water, and toilet paper, facial wash, toothpaste.\nOn 2011/06/24, I had lunch. I ate pasta..\nOn 2011/06/24, I had pasta for dinner with Willow, Avery.\nOn 2011/06/25, I went on a date with Angel on 2011/06/25 at a park.\nOn 2011/06/25, I had dinner with Emily, Carter. I ate indian food..\nOn 2011/06/26, I spent 49 talking to Avery, Lydia on various topics in the late afternoon..\nOn 2011/06/28, I spent 47 minutes on social media today..\nOn 2011/06/29, I spent 46 talking to Piper, Layla on various topics in the morning..\nOn 2011/06/29, I spent 36 minutes on a book today..\nOn 2011/06/29, I spent 5 minutes watching news on TV today..\nOn 2011/06/30, I did HIIT on 2011/06/30..\nOn 2011/06/30, I had breakfast. I ate toast and cheese..\nOn 2011/06/30, I spent 30 talking to Piper, Hazel, Piper, Layla on various topics in the early evening..\nOn 2011/07/01, On 2011/07/01, I took Isabella on a date to a park.\nOn 2011/07/02, I prepare steak for lunch..\nOn 2011/07/02, I had tacos for dinner with Avery, Jackson, Benjamin, Willow.\nOn 2011/07/02, I watched a movie for 32 minutes on TV today..\nOn 2011/07/03, I had dinner with Emily. I ate steak..\nOn 2011/07/04, I took my parents for their for an annual dental cleaning and checkup on 2011/07/04 at the hospital..\nOn 2011/07/04, I spent 36 minutes on news today..\nOn 2011/07/05, I bought some apples, blueberries, pineapple juice, orange juice, tea, toothbrush, body lotion, facial wash, paper towel online..\nOn 2011/07/05, I had dinner. I ate sandwich..\nOn 2011/07/05, I talked to Kinsley, Claire, Eva, Olivia for 9 minutes during lunch hours..\nOn 2011/07/06, I spent time gardening on 2011/07/06 with Willow..\nOn 2011/07/07, I had breakfast. I ate peanut-butter-jam..\nOn 2011/07/07, I ate a burger for dinner..\nOn 2011/07/07, I talked to Rylee, Piper for 30 minutes in the early evening..\nOn 2011/07/08, I did biking on 2011/07/08..\nOn 2011/07/08, I spent 29 minutes reading social media today..\nOn 2011/07/09, I had breakfast. I ate cereals..\nOn 2011/07/09, I spent 31 talking to Piper, Nevaeh, Layla on various topics during lunch hours..\nOn 2011/07/09, I spent 51 minutes reading social media today..\nOn 2011/07/10, I really enjoyed gardening on 2011/07/10.\nOn 2011/07/10, I had breakfast with Emily. I ate pancakes..\nOn 2011/07/10, I had sushi for dinner with Emily, Kayden, Carter.\nOn 2011/07/11, I ate steak for lunch..\nOn 2011/07/12, I did HIIT on 2011/07/12..\nOn 2011/07/12, I ate a burger for lunch..\nOn 2011/07/12, I had dinner. I ate a burger..\nOn 2011/07/13, I spent 46 talking to Nevaeh, Kinsley, Hazel on various topics in the morning..\nOn 2011/07/14, I went grocery shopping. I bought some bananas, peaches, blueberries, sports drinks, soda, guava juice, chocolate milk, and toothbrush.\nOn 2011/07/14, I spent 55 talking to Nevaeh, Nora, Claire on various topics in the early afternoon..\nOn 2011/07/16, I did hiking on 2011/07/16..\nOn 2011/07/16, I had dinner with Carter. I ate sandwich..\nOn 2011/07/16, I spent 34 minutes on social media today..\nOn 2011/07/17, I spent 28 talking to Eva, Claire, Nevaeh on various topics in the early afternoon..\nOn 2011/07/18, I talked to Nevaeh, Lydia, Claire for 8 minutes late in the evening..\nOn 2011/07/21, I did biking on 2011/07/21..\nOn 2011/07/21, I had lunch. I ate a burger..\nOn 2011/07/21, I spent 50 minutes watching a tv series on TV today..\nOn 2011/07/22, I did biking on 2011/07/22..\nOn 2011/07/22, I prepare steak for dinner..\nOn 2011/07/22, I talked to Rylee, Piper, Layla for 47 minutes in the early evening..\nOn 2011/07/23, I prepare a burger for lunch..\nOn 2011/07/23, I had chinese food for dinner with Avery, Jackson, Benjamin.\nOn 2011/07/25, I had breakfast. I ate eggs, sausages, and bread..\nOn 2011/07/25, I spent 23 talking to Layla, Avery, Olivia, Rylee on various topics in the early afternoon..\nOn 2011/07/26, I had lunch with Jackson, Avery. I ate indian food..\nOn 2011/07/26, I watched a documentary for 7 minutes on TV today..\nOn 2011/07/29, I really enjoyed learning a language on 2011/07/29.\nOn 2011/07/29, I had breakfast. I ate cereals..\nOn 2011/07/29, I spent 27 talking to Nevaeh, Kinsley on various topics in the early afternoon..\nOn 2011/07/30, I talked to Nevaeh for 10 minutes in the morning..\nOn 2011/07/30, I watched news for 19 minutes on TV today..\nOn 2011/07/31, I talked to Avery for 40 minutes during lunch hours..\nOn 2011/08/01, I had breakfast with Rylee. I ate oatmeal..\nOn 2011/08/01, I talked to Claire, Piper for 41 minutes during lunch hours..\nOn 2011/08/02, I bought some guava, cherres, guava juice, soda, coffee, shaving cream, body lotion, shampoo, mouth wash from the grocery store. I saw Carter, Andrew at the grocery store..\nOn 2011/08/02, I had lunch with Emily, Andrew, Kayden, Carter. I ate tacos..\nOn 2011/08/03, I had oatmeal for breakfast with Carter, Kayden, Andrew, Emily.\nOn 2011/08/03, I spent 7 minutes watching a movie on TV today..\nOn 2011/08/04, I prepare sandwich for lunch..\nOn 2011/08/04, I prepare a burger for dinner..\nOn 2011/08/05, I spent 13 minutes reading news today..\nOn 2011/08/06, I did biking on 2011/08/06..\nOn 2011/08/06, I prepare toast and cheese for breakfast..\nOn 2011/08/06, I watched a movie for 20 minutes on TV today..\nOn 2011/08/07, I bought some apricots, blueberries, mangos, apple juice, mineral water, body lotion, toothbrush, shaving cream online..\nOn 2011/08/07, I spent 49 talking to Rylee on various topics in the early afternoon..\nOn 2011/08/07, I spent 35 minutes watching news on TV today..\nOn 2011/08/08, I did biking on 2011/08/08..\nOn 2011/08/10, I went on a date with Cameron on 2011/08/10 at a park.\nOn 2011/08/10, I had breakfast. I ate peanut-butter-jam..\nOn 2011/08/11, I did running on 2011/08/11..\nOn 2011/08/12, I prepare steak for lunch..\nOn 2011/08/13, On 2011/08/13, I took Angel on a date to a coffee Shop.\nOn 2011/08/13, I went grocery shopping with Kayden, Emily. I bought some blueberries, strawberries, clementines, apples, mineral water, mango juice, and shampoo, conditioner, toothpaste, toothbrush.\nOn 2011/08/13, I had tacos for dinner with Emily.\nOn 2011/08/13, I spent 17 talking to Lydia, Rylee, Eva on various topics in the early evening..\nOn 2011/08/14, I had toast and cheese for breakfast with Kayden, Andrew, Carter, Emily.\nOn 2011/08/15, I did biking on 2011/08/15..\nOn 2011/08/15, I had lunch with Andrew, Emily, Kayden. I ate indian food..\nOn 2011/08/15, I talked to Hazel, Kinsley, Rylee for 25 minutes in the morning..\nOn 2011/08/16, I prepare sushi for dinner..\nOn 2011/08/17, I had pancakes for breakfast with Andrew, Carter, Emily.\nOn 2011/08/18, I had chinese food for dinner with Andrew, Carter, Kayden.\nOn 2011/08/18, I spent 7 talking to Hazel, Layla, Kinsley, Piper on various topics in the early evening..\nOn 2011/08/19, I did HIIT on 2011/08/19..\nOn 2011/08/20, I had breakfast with Kayden, Andrew, Emily, Carter. I ate eggs, sausages, and bread..\nOn 2011/08/20, I had lunch. I ate chinese food..\nOn 2011/08/20, I watched a tv series for 19 minutes on TV today..\nOn 2011/08/22, I prepare toast and cheese for breakfast..\nOn 2011/08/22, I talked to Claire, Eva for 8 minutes in the early evening..\nOn 2011/08/23, I prepare oatmeal for breakfast..\nOn 2011/08/24, I went on a date with Isabella on 2011/08/24 at a coffee Shop.\nOn 2011/08/24, I spent 55 minutes reading a book today..\nOn 2011/08/25, I did swimming on 2011/08/25..\nOn 2011/08/25, I had fish and chips for dinner with Claire.\nOn 2011/08/26, I bought some pineapples, watermelons, peaches, apples, sports drinks, toothpaste online..\nOn 2011/08/26, I had breakfast. I ate toast and cheese..\nOn 2011/08/26, I prepare a burger for lunch..\nOn 2011/08/26, I spent 13 minutes on a book today..\nOn 2011/08/26, I spent 14 minutes watching a tv series on TV today..\nOn 2011/08/27, I prepare chinese food for lunch..\nOn 2011/08/27, I watched news for 14 minutes on TV today..\nOn 2011/08/28, I prepare indian food for dinner..\nOn 2011/08/29, I watched a tv series for 43 minutes on TV today..\nOn 2011/08/30, I prepare chinese food for dinner..\nOn 2011/08/31, I ate steak for dinner..\nOn 2011/08/31, I talked to Claire, Kinsley, Olivia, Avery for 15 minutes late in the evening..\nOn 2011/09/01, I prepare sandwich for dinner..\nOn 2011/09/01, I watched a documentary for 45 minutes on TV today..\nOn 2011/09/02, I went grocery shopping. I bought some raspberries, mangos, guava, soda, chocolate milk, and shampoo.\nOn 2011/09/02, I spent 23 talking to Claire on various topics in the early afternoon..\nOn 2011/09/02, I spent 19 minutes reading a book today..\nOn 2011/09/03, I went for an annual physical checkup on 2011/09/03 at the university hospital..\nOn 2011/09/03, I spent 25 minutes reading social media today..\nOn 2011/09/04, I went on a date with Noah on 2011/09/04 at a boba shop.\nOn 2011/09/05, I went grocery shopping with Claire, Rylee. I bought some apricots, watermelons, apple juice, and mouth wash.\nOn 2011/09/07, I spent 19 minutes reading news today..\nOn 2011/09/07, I watched a tv series for 7 minutes on TV today..\nOn 2011/09/08, I had lunch with Claire, Hazel, Eva, Piper, Rylee, Piper, Lydia, Kinsley, Layla, Nevaeh, Olivia, Nora, Avery. I ate sushi..\nOn 2011/09/08, I had pasta for dinner with Jackson, Benjamin.\nOn 2011/09/09, I spent 39 talking to Avery, Hazel, Olivia on various topics late in the evening..\nOn 2011/09/09, I spent 34 minutes on news today..\nOn 2011/09/09, I watched a tv series for 11 minutes on TV today..\nOn 2011/09/10, I had cereals for breakfast with Willow, Avery.\nOn 2011/09/11, I spent 40 talking to Claire, Hazel, Olivia, Piper on various topics in the morning..\nOn 2011/09/12, I spent 20 talking to Layla, Piper, Claire on various topics during lunch hours..\nOn 2011/09/12, I spent 17 minutes reading social media today..\nOn 2011/09/13, I went on a date with Aurora on 2011/09/13 at a boba shop.\nOn 2011/09/13, I prepare peanut-butter-jam for breakfast..\nOn 2011/09/13, I had a burger for lunch with Hazel, Nevaeh, Lydia, Nora, Eva, Claire, Layla, Rylee, Piper, Kinsley, Olivia, Avery.\nOn 2011/09/13, I watched news for 51 minutes on TV today..\nOn 2011/09/16, I did biking on 2011/09/16..\nOn 2011/09/16, I talked to Hazel for 53 minutes late in the evening..\nOn 2011/09/16, I spent 30 minutes on social media today..\nOn 2011/09/17, I did HIIT on 2011/09/17..\nOn 2011/09/17, I prepare toast and cheese for breakfast..\nOn 2011/09/18, I ate peanut-butter-jam for breakfast..\nOn 2011/09/18, I had dinner with Andrew. I ate tacos..\nOn 2011/09/18, I spent 12 talking to Hazel, Lydia, Nevaeh, Piper on various topics late in the evening..\nOn 2011/09/18, I spent 9 minutes watching news on TV today..\nOn 2011/09/19, I did swimming on 2011/09/19..\nOn 2011/09/19, I spent 17 talking to Olivia, Layla, Eva on various topics in the late afternoon..\nOn 2011/09/20, I spent 20 talking to Layla, Avery, Piper, Nora on various topics during lunch hours..\nOn 2011/09/20, I spent 29 minutes watching a documentary on TV today..\nOn 2011/09/22, I had cereals for breakfast with Carter, Kayden.\nOn 2011/09/22, I spent 29 talking to Avery, Lydia, Rylee, Olivia on various topics in the early afternoon..\nOn 2011/09/23, I ate chinese food for lunch..\nOn 2011/09/23, I spent 51 minutes on news today..\nOn 2011/09/24, I prepare toast and cheese for breakfast..\nOn 2011/09/24, I had dinner. I ate indian food..\nOn 2011/09/25, I prepare toast and cheese for breakfast..\nOn 2011/09/25, I talked to Layla, Avery, Nora, Claire for 55 minutes during lunch hours..\nOn 2011/09/25, I spent 31 minutes reading news today..\nOn 2011/09/26, I ate eggs, sausages, and bread for breakfast..\nOn 2011/09/26, I watched a movie for 47 minutes on TV today..\nOn 2011/09/27, I did swimming on 2011/09/27..\nOn 2011/09/28, I prepare oatmeal for breakfast..\nOn 2011/09/28, I talked to Avery, Rylee for 9 minutes late in the evening..\nOn 2011/09/29, I did HIIT on 2011/09/29..\nOn 2011/09/30, I went grocery shopping with Carter, Emily. I bought some guava, mineral water, milk, tea, and mouth wash, shaving cream, mouthwash, conditioner.\nOn 2011/09/30, I spent 23 talking to Olivia, Piper, Piper on various topics late in the evening..\nOn 2011/10/01, I had breakfast with Andrew, Emily, Kayden. I ate peanut-butter-jam..\nOn 2011/10/01, I had dinner. I ate tacos..\nOn 2011/10/02, I spent 20 minutes on news today..\nOn 2011/10/03, I spent 5 talking to Nevaeh, Rylee, Eva on various topics in the late afternoon..\nOn 2011/10/03, I spent 37 minutes reading news today..\nOn 2011/10/03, I spent 7 minutes watching a tv series on TV today..\nOn 2011/10/04, I did swimming on 2011/10/04..\nOn 2011/10/04, I had breakfast. I ate peanut-butter-jam..\nOn 2011/10/05, I went grocery shopping with Kayden, Andrew. I bought some blackberries, cherres, apple juice, sports drinks, and conditioner, toilet paper, body lotion.\nOn 2011/10/06, I did running on 2011/10/06..\nOn 2011/10/06, I prepare sushi for lunch..\nOn 2011/10/07, I spent some time yoga on 2011/10/07..\nOn 2011/10/09, I spent 44 minutes on social media today..\nOn 2011/10/10, I bought some strawberries, blackberries, coffee, orange juice, paper towel, mouthwash, shaving cream, body lotion from the grocery store. I saw Emily, Andrew at the grocery store..\nOn 2011/10/10, I prepare pancakes for breakfast..\nOn 2011/10/10, I prepare a burger for lunch..\nOn 2011/10/10, I talked to Nevaeh, Lydia for 43 minutes in the early afternoon..\nOn 2011/10/11, I ate indian food for lunch..\nOn 2011/10/11, I spent 45 minutes on social media today..\nOn 2011/10/12, I had breakfast. I ate toast and cheese..\nOn 2011/10/12, I had chinese food for dinner with Layla.\nOn 2011/10/12, I spent 27 minutes watching a tv series on TV today..\nOn 2011/10/14, I spent 55 talking to Rylee, Piper, Avery on various topics during lunch hours..\nOn 2011/10/14, I spent 35 minutes watching a documentary on TV today..\nOn 2011/10/15, I went on a date with Isabella on 2011/10/15 at a coffee Shop.\nOn 2011/10/15, I had a burger for dinner with Kayden, Emily, Andrew, Carter.\nOn 2011/10/16, I ate toast and cheese for breakfast..\nOn 2011/10/17, I had lunch with Piper, Layla, Nevaeh, Olivia, Eva, Nora. I ate sushi..\nOn 2011/10/17, I spent 17 minutes on a book today..\nOn 2011/10/18, I spent 11 minutes reading social media today..\nOn 2011/10/18, I watched news for 32 minutes on TV today..\nOn 2011/10/19, I spent 31 talking to Claire, Eva, Hazel, Avery on various topics in the early evening..\nOn 2011/10/19, I spent 44 minutes reading social media today..\nOn 2011/10/20, I spent 50 minutes on a book today..\nOn 2011/10/21, I did HIIT on 2011/10/21..\nOn 2011/10/21, I prepare toast and cheese for breakfast..\nOn 2011/10/21, I spent 45 minutes on a book today..\nOn 2011/10/21, I watched news for 36 minutes on TV today..\nOn 2011/10/22, I spent 40 minutes watching news on TV today..\nOn 2011/10/23, I went grocery shopping. I bought some blueberries, strawberries, apple juice, and body lotion, shampoo, shaving cream, paper towel.\nOn 2011/10/23, I watched a tv series for 18 minutes on TV today..\nOn 2011/10/24, I prepare oatmeal for breakfast..\nOn 2011/10/24, I ate pasta for dinner..\nOn 2011/10/25, I spent 47 minutes on social media today..\nOn 2011/10/27, I spent 23 minutes watching a movie on TV today..\nOn 2011/10/28, I bought some bananas, apples, coffee, mouth wash, toilet paper online..\nOn 2011/10/30, I spent 23 minutes on social media today..\nOn 2011/10/30, I watched a documentary for 28 minutes on TV today..\nOn 2011/10/31, I bought some apricots, guava, bananas, apple juice, orange juice, toilet paper, body lotion, mouth wash from the grocery store. I saw Jackson, Willow, Avery, Benjamin at the grocery store..\nOn 2011/11/01, I bought some watermelons, pears, mangos, apple juice, mineral water, toothpaste, mouth wash, paper towel, body lotion online..\nOn 2011/11/01, I spent 27 talking to Kinsley, Piper on various topics in the late afternoon..\nOn 2011/11/02, I spent time working out on 2011/11/02 with Kayden..\nOn 2011/11/02, I talked to Piper, Claire, Nevaeh for 22 minutes in the early afternoon..\nOn 2011/11/02, I spent 32 minutes reading social media today..\nOn 2011/11/03, I spent 5 minutes watching a documentary on TV today..\nOn 2011/11/05, I spent 14 minutes reading news today..\nOn 2011/11/06, I spent 39 minutes watching a documentary on TV today..\nOn 2011/11/07, I bought some blueberries, mangos, pears, clementines, apple juice, chocolate milk, soda, sports drinks, body lotion, mouth wash, toilet paper online..\nOn 2011/11/07, I talked to Nevaeh, Nora, Avery, Rylee for 25 minutes in the early evening..\nOn 2011/11/07, I spent 33 minutes reading social media today..\nOn 2011/11/08, I spent some time meditation on 2011/11/08..\nOn 2011/11/09, I talked to Kinsley for 28 minutes in the early evening..\nOn 2011/11/09, I spent 40 minutes reading social media today..\nOn 2011/11/11, I had breakfast. I ate toast and cheese..\nOn 2011/11/11, I talked to Nora, Layla, Hazel for 30 minutes in the early evening..\nOn 2011/11/12, I did hiking on 2011/11/12..\nOn 2011/11/14, I had lunch. I ate tacos..\nOn 2011/11/14, I had dinner. I ate sandwich..\nOn 2011/11/16, On 2011/11/16, I took Greyson on a date to a restaurant.\nOn 2011/11/16, I talked to Piper for 24 minutes during lunch hours..\nOn 2011/11/16, I spent 19 minutes reading social media today..\nOn 2011/11/17, I did HIIT on 2011/11/17..\nOn 2011/11/17, I spent 30 minutes watching a movie on TV today..\nOn 2011/11/18, I bought some clementines, coffee, milk, shaving cream online..\nOn 2011/11/18, I ate indian food for dinner..\nOn 2011/11/19, I went grocery shopping. I bought some clementines, pears, apple juice, pineapple juice, tea, and mouth wash, paper towel, body lotion, conditioner.\nOn 2011/11/20, I talked to Piper, Kinsley for 40 minutes late in the evening..\nOn 2011/11/22, I prepare eggs, sausages, and bread for breakfast..\nOn 2011/11/22, I had lunch. I ate chinese food..\nOn 2011/11/22, I prepare sushi for dinner..\nOn 2011/11/24, I prepare sushi for lunch..\nOn 2011/11/24, I spent 10 minutes watching news on TV today..\nOn 2011/11/25, I had lunch with Avery, Willow. I ate fish and chips..\nOn 2011/11/27, I spent 45 minutes watching news on TV today..\nOn 2011/11/28, I ate oatmeal for breakfast..\nOn 2011/11/29, I had dinner. I ate tacos..\nOn 2011/11/29, I talked to Piper, Eva for 15 minutes in the early evening..\nOn 2011/11/29, I spent 13 minutes reading social media today..\nOn 2011/11/30, I spent 38 minutes on news today..\nOn 2011/12/01, I bought some bananas, blackberries, raspberries, pineapples, orange juice, milk, coffee, facial wash online..\nOn 2011/12/01, I had dinner. I ate a burger..\nOn 2011/12/01, I spent 45 minutes reading a book today..\nOn 2011/12/01, I watched a documentary for 17 minutes on TV today..\nOn 2011/12/03, I spent 6 minutes on social media today..\nOn 2011/12/04, I had breakfast. I ate cereals..\nOn 2011/12/04, I had dinner with Andrew, Emily, Kayden, Carter. I ate sandwich..\nOn 2011/12/05, I went on a date with Nathan on 2011/12/05 at a park.\nOn 2011/12/05, I did running on 2011/12/05..\nOn 2011/12/05, I prepare sandwich for dinner..\nOn 2011/12/05, I spent 30 talking to Avery, Eva, Nora on various topics in the morning..\nOn 2011/12/06, I prepare chinese food for lunch..\nOn 2011/12/06, I spent 41 talking to Avery on various topics in the morning..\nOn 2011/12/07, I talked to Piper, Claire for 40 minutes late in the evening..\nOn 2011/12/07, I spent 54 minutes watching news on TV today..\nOn 2011/12/08, I did running on 2011/12/08..\nOn 2011/12/08, I talked to Nevaeh, Piper, Piper for 29 minutes in the morning..\nOn 2011/12/09, I went grocery shopping with Carter. I bought some pineapples, tea, chocolate milk, mango juice, and shaving cream.\nOn 2011/12/09, I spent 24 talking to Lydia on various topics in the early afternoon..\nOn 2011/12/11, I did running on 2011/12/11..\nOn 2011/12/11, I talked to Kinsley for 28 minutes late in the evening..\nOn 2011/12/11, I spent 7 minutes watching a documentary on TV today..\nOn 2011/12/13, I went on a date with Everett on 2011/12/13 at a boba shop.\nOn 2011/12/13, I spent 43 minutes on news today..\nOn 2011/12/14, I prepare toast and cheese for breakfast..\nOn 2011/12/14, I ate tacos for dinner..\nOn 2011/12/15, I talked to Nora, Claire, Olivia, Kinsley for 41 minutes in the morning..\nOn 2011/12/17, I did HIIT on 2011/12/17..\nOn 2011/12/18, I had dinner with Emily, Kayden, Carter, Andrew. I ate indian food..\nOn 2011/12/18, I talked to Piper, Hazel, Kinsley, Eva for 49 minutes during lunch hours..\nOn 2011/12/19, I spent 15 talking to Eva on various topics late in the evening..\nOn 2011/12/20, I bought some apples, watermelons, bananas, blackberries, chocolate milk, facial wash, paper towel from the grocery store. I saw Avery, Lydia, Kinsley at the grocery store..\nOn 2011/12/20, I watched a movie for 21 minutes on TV today..\nOn 2011/12/21, I spent 28 minutes watching a movie on TV today..\nOn 2011/12/22, I prepare chinese food for dinner..\nOn 2011/12/22, I spent 44 talking to Olivia, Piper on various topics in the early afternoon..\nOn 2011/12/24, I spent 6 talking to Nora on various topics in the early afternoon..\nOn 2011/12/24, I spent 48 minutes on social media today..\nOn 2011/12/24, I spent 43 minutes watching news on TV today..\nOn 2011/12/25, I prepare sushi for dinner..\nOn 2011/12/27, I did running on 2011/12/27..\nOn 2011/12/27, I spent 51 minutes on a book today..\nOn 2011/12/29, I had toast and cheese for breakfast with Emily, Kayden.\nOn 2011/12/29, I spent 15 minutes on social media today..\nOn 2011/12/30, I did HIIT on 2011/12/30..\nOn 2011/12/30, I spent 49 minutes watching news on TV today..\nOn 2011/12/31, I had breakfast. I ate eggs, sausages, and bread..\nOn 2012/01/01, I spent 12 minutes reading news today..\nOn 2012/01/03, I did running on 2012/01/03..\nOn 2012/01/05, I ate sushi for dinner..\nOn 2012/01/06, I ate oatmeal for breakfast..\nOn 2012/01/06, I had lunch. I ate sandwich..\nOn 2012/01/08, I ate tacos for lunch..\nOn 2012/01/08, I spent 42 talking to Nevaeh, Avery on various topics during lunch hours..\nOn 2012/01/10, I spent 27 minutes on news today..\nOn 2012/01/11, I prepare toast and cheese for breakfast..\nOn 2012/01/12, I had breakfast. I ate cereals..\nOn 2012/01/12, I talked to Rylee for 44 minutes in the early afternoon..\nOn 2012/01/13, I went on a date with Austin on 2012/01/13 at a park.\nOn 2012/01/13, I went grocery shopping with Kayden, Andrew, Emily. I bought some nectarines, clementines, watermelons, tea, chocolate milk, and mouthwash, conditioner.\nOn 2012/01/14, I prepare sandwich for dinner..\nOn 2012/01/14, I spent 26 minutes on a book today..\nOn 2012/01/15, I prepare sushi for lunch..\nOn 2012/01/16, I prepare chinese food for lunch..\nOn 2012/01/17, I had dinner with Rylee. I ate sandwich..\nOn 2012/01/19, I ate sandwich for dinner..\nOn 2012/01/21, I watched a tv series for 35 minutes on TV today..\nOn 2012/01/23, I really enjoyed learning a language on 2012/01/23.\nOn 2012/01/23, I prepare sushi for dinner..\nOn 2012/01/23, I spent 26 minutes on a book today..\nOn 2012/01/23, I watched a movie for 16 minutes on TV today..\nOn 2012/01/24, I went on a date with Asher on 2012/01/24 at a boba shop.\nOn 2012/01/25, I spent 44 minutes watching a movie on TV today..\nOn 2012/01/26, I went on a date with Lincoln on 2012/01/26 at a coffee Shop.\nOn 2012/01/26, I did swimming on 2012/01/26..\nOn 2012/01/26, I prepare indian food for lunch..\nOn 2012/01/27, I ate oatmeal for breakfast..\nOn 2012/01/27, I spent 38 minutes reading a book today..\nOn 2012/01/28, I had lunch with Lydia, Nora, Piper, Rylee, Kinsley, Hazel, Layla. I ate steak..\nOn 2012/01/31, I prepare oatmeal for breakfast..\nOn 2012/01/31, I talked to Hazel, Nevaeh for 5 minutes late in the evening..\nOn 2012/01/31, I spent 11 minutes on a book today..\nOn 2012/02/02, I had tacos for dinner with Avery, Benjamin, Willow, Jackson.\nOn 2012/02/02, I spent 33 talking to Rylee, Eva, Kinsley on various topics during lunch hours..\nOn 2012/02/02, I spent 29 minutes on news today..\nOn 2012/02/04, I did HIIT on 2012/02/04..\nOn 2012/02/05, I spent 29 minutes reading news today..\nOn 2012/02/06, I went on a date with Aaron on 2012/02/06 at a boba shop.\nOn 2012/02/06, I spent 39 talking to Nevaeh on various topics in the early afternoon..\nOn 2012/02/07, I had fish and chips for lunch with Emily.\nOn 2012/02/07, I spent 37 talking to Eva, Kinsley on various topics during lunch hours..\nOn 2012/02/08, I spent 29 talking to Nevaeh, Olivia, Piper on various topics in the early evening..\nOn 2012/02/09, I ate indian food for lunch..\nOn 2012/02/09, I talked to Piper, Lydia, Avery, Nora for 35 minutes in the early evening..\nOn 2012/02/10, I had peanut-butter-jam for breakfast with Layla, Rylee, Lydia.\nOn 2012/02/10, I ate fish and chips for lunch..\nOn 2012/02/10, I spent 40 minutes reading a book today..\nOn 2012/02/12, I did swimming on 2012/02/12..\nOn 2012/02/12, I had breakfast with Benjamin, Avery, Willow, Jackson. I ate oatmeal..\nOn 2012/02/12, I watched a tv series for 14 minutes on TV today..\nOn 2012/02/13, I had lunch. I ate indian food..\nOn 2012/02/13, I talked to Lydia, Nevaeh, Piper for 47 minutes in the late afternoon..\nOn 2012/02/14, I spent time meditation on 2012/02/14 with Kayden, Carter, Andrew..\nOn 2012/02/14, I did HIIT on 2012/02/14..\nOn 2012/02/15, On 2012/02/15, I took James on a date to a park.\nOn 2012/02/15, I spent 42 talking to Nora, Lydia, Kinsley, Layla on various topics late in the evening..\nOn 2012/02/16, I did weight lifting on 2012/02/16..\nOn 2012/02/16, I ate eggs, sausages, and bread for breakfast..\nOn 2012/02/16, I had sandwich for dinner with Emily.\nOn 2012/02/17, I did HIIT on 2012/02/17..\nOn 2012/02/17, I had breakfast with Benjamin, Avery. I ate oatmeal..\nOn 2012/02/17, I ate steak for dinner..\nOn 2012/02/17, I spent 36 minutes watching news on TV today..\nOn 2012/02/18, I went grocery shopping. I bought some mandarins, apples, chocolate milk, coffee, and conditioner, body lotion, toothbrush, mouth wash.\nOn 2012/02/18, I had sushi for lunch with Benjamin, Avery.\nOn 2012/02/19, I went grocery shopping with Andrew. I bought some oranges, watermelons, orange juice, chocolate milk, coffee, guava juice, and toilet paper, mouthwash, facial wash, shaving cream.\nOn 2012/02/21, I ate pasta for lunch..\nOn 2012/02/21, I had dinner with Nora. I ate pasta..\nOn 2012/02/22, On 2012/02/22, I took Christophe on a date to a restaurant.\nOn 2012/02/23, I had lunch. I ate tacos..\nOn 2012/02/23, I spent 47 minutes watching a tv series on TV today..\nOn 2012/02/25, I spent 6 minutes watching a movie on TV today..\nOn 2012/02/26, I had a burger for lunch with Carter.\nOn 2012/02/27, I went grocery shopping. I bought some guava, orange juice, and mouth wash.\nOn 2012/02/28, I did running on 2012/02/28..\nOn 2012/02/28, I spent 41 minutes on social media today..\nOn 2012/03/01, I went grocery shopping. I bought some mangos, bananas, watermelons, cherres, tea, and toilet paper.\nOn 2012/03/02, On 2012/03/02 Andrew and I went to Bangkok, Thailand together for 15 days .\nOn 2012/03/03, During my trip to Bangkok, Thailand, I visited Wat Traimit on 2012/03 with Andrew..\nOn 2012/03/03, I had lunch. I ate indian food..\nOn 2012/03/03, I spent 20 minutes watching a tv series on TV today..\nOn 2012/03/04, During my trip to Bangkok, Thailand, I visited Wat Arun on 2012/03 with Andrew..\nOn 2012/03/04, I ate local food at Yaowarat with Andrew on  2012/03/04 when I was in Bangkok, Thailand..\nOn 2012/03/04, I spent 9 talking to Hazel, Eva, Avery, Kinsley on various topics late in the evening..\nOn 2012/03/05, During my trip to Bangkok, Thailand, I visited Grand Palace on 2012/03 with Andrew..\nOn 2012/03/05, I had lunch. I ate sandwich..\nOn 2012/03/05, I had pasta for dinner with Claire, Nevaeh, Piper, Hazel, Lydia, Rylee, Kinsley, Avery, Olivia, Nora, Layla.\nOn 2012/03/05, I spent 29 minutes reading social media today..\nOn 2012/03/06, During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2012/03 with Andrew..\nOn 2012/03/06, I ate Indian food at Victory Monument with Andrew on  2012/03/06 when I was in Bangkok, Thailand..\nOn 2012/03/06, I had sandwich for dinner with Piper, Olivia, Eva, Rylee, Nora, Layla, Nevaeh, Hazel, Claire.\nOn 2012/03/06, I spent 55 minutes watching news on TV today..\nOn 2012/03/07, During my trip to Bangkok, Thailand, I visited Wat Suthat on 2012/03 with Andrew..\nOn 2012/03/07, I ate Italian food at Yaowarat with Andrew on  2012/03/07 when I was in Bangkok, Thailand..\nOn 2012/03/07, I prepare sushi for lunch..\nOn 2012/03/07, I spent 33 minutes reading news today..\nOn 2012/03/08, I ate Indian food at Victory Monument with Andrew on  2012/03/08 when I was in Bangkok, Thailand..\nOn 2012/03/08, I went on a date with Avery on 2012/03/08 at a coffee Shop.\nOn 2012/03/08, I spent 39 minutes watching a movie on TV today..\nOn 2012/03/09, I ate Italian food at Yaowarat with Andrew on  2012/03/09 when I was in Bangkok, Thailand..\nOn 2012/03/09, I had lunch. I ate sushi..\nOn 2012/03/10, I ate street food at Yaowarat with Andrew on  2012/03/10 when I was in Bangkok, Thailand..\nOn 2012/03/10, I ate chinese food for dinner..\nOn 2012/03/10, I spent 11 talking to Piper on various topics in the morning..\nOn 2012/03/11, I ate local food at Yaowarat with Andrew on  2012/03/11 when I was in Bangkok, Thailand..\nOn 2012/03/12, I had breakfast with Olivia, Rylee, Piper. I ate peanut-butter-jam..\nOn 2012/03/12, I ate steak for lunch..\nOn 2012/03/12, I talked to Hazel, Piper, Kinsley, Avery for 14 minutes in the morning..\nOn 2012/03/13, I ate Chinese food at Ratchawat Market with Andrew on  2012/03/13 when I was in Bangkok, Thailand..\nOn 2012/03/13, I had a burger for lunch with Eva.\nOn 2012/03/14, I spent 26 talking to Piper, Lydia, Olivia, Hazel on various topics in the morning..\nOn 2012/03/15, I ate Chinese food at Ratchawat Market with Andrew on  2012/03/15 when I was in Bangkok, Thailand..\nOn 2012/03/15, I talked to Hazel, Rylee for 36 minutes in the early afternoon..\nOn 2012/03/15, I spent 52 minutes on news today..\nOn 2012/03/16, I went on a date with Leah on 2012/03/16 at a boba shop.\nOn 2012/03/16, I talked to Nora, Claire, Rylee, Layla for 29 minutes in the late afternoon..\nOn 2012/03/16, I spent 8 minutes on a book today..\nOn 2012/03/17, I ate Japanese food at Ratchawat Market with Andrew on  2012/03/17 when I was in Bangkok, Thailand..\nOn 2012/03/17, I prepare eggs, sausages, and bread for breakfast..\nOn 2012/03/17, I spent 44 talking to Claire, Layla, Nevaeh on various topics in the early evening..\nOn 2012/03/19, I did running on 2012/03/19..\nOn 2012/03/19, I prepare a burger for dinner..\nOn 2012/03/20, I talked to Olivia, Nora, Lydia, Kinsley for 53 minutes in the morning..\nOn 2012/03/21, I did swimming on 2012/03/21..\nOn 2012/03/21, I spent 50 minutes on a book today..\nOn 2012/03/22, I did weight lifting on 2012/03/22..\nOn 2012/03/22, I prepare chinese food for dinner..\nOn 2012/03/22, I watched a documentary for 45 minutes on TV today..\nOn 2012/03/23, I did swimming on 2012/03/23..\nOn 2012/03/23, I prepare sushi for lunch..\nOn 2012/03/24, I went on a date with Piper on 2012/03/24 at a park.\nOn 2012/03/24, I went grocery shopping with Andrew, Carter, Kayden, Emily. I bought some cherres, mangos, pineapples, chocolate milk, apple juice, mango juice, mineral water, and facial wash, toothpaste, body lotion, conditioner.\nOn 2012/03/24, I ate indian food for dinner..\nOn 2012/03/25, I did HIIT on 2012/03/25..\nOn 2012/03/26, I had dinner. I ate chinese food..\nOn 2012/03/26, I spent 9 talking to Rylee, Piper on various topics in the early afternoon..\nOn 2012/03/28, I had sandwich for lunch with Emily.\nOn 2012/03/29, I had lunch with Andrew, Emily. I ate tacos..\nOn 2012/03/29, I had dinner. I ate chinese food..\nOn 2012/03/30, I had breakfast. I ate eggs, sausages, and bread..\nOn 2012/03/31, I went grocery shopping with Emily. I bought some raspberries, mangos, pears, guava, guava juice, apple juice, pineapple juice, soda, and mouth wash, body lotion, toothbrush, facial wash.\nOn 2012/04/01, I did swimming on 2012/04/01..\nOn 2012/04/02, I did swimming on 2012/04/02..\nOn 2012/04/03, I went for an annual dental cleaning and checkup on 2012/04/03 at the private clinic..\nOn 2012/04/03, I had dinner with Andrew, Kayden, Carter, Emily. I ate indian food..\nOn 2012/04/03, I spent 9 minutes on social media today..\nOn 2012/04/04, I bought some strawberries, pineapples, orange juice, toilet paper, mouth wash online..\nOn 2012/04/04, I had lunch with Kayden, Carter, Andrew. I ate fish and chips..\nOn 2012/04/07, I had lunch with Andrew, Kayden, Emily, Carter. I ate steak..\nOn 2012/04/08, I prepare indian food for dinner..\nOn 2012/04/09, I went grocery shopping with Avery, Willow. I bought some pineapples, strawberries, apricots, cherres, coffee, and conditioner, facial wash, shampoo.\nOn 2012/04/09, I had breakfast with Benjamin, Willow, Jackson, Avery. I ate pancakes..\nOn 2012/04/09, I spent 44 minutes reading a book today..\nOn 2012/04/09, I spent 18 minutes watching news on TV today..\nOn 2012/04/10, I went on a date with Connor on 2012/04/10 at a park.\nOn 2012/04/10, I did biking on 2012/04/10..\nOn 2012/04/10, I had lunch with Emily. I ate chinese food..\nOn 2012/04/10, I spent 15 minutes watching news on TV today..\nOn 2012/04/11, I prepare indian food for lunch..\nOn 2012/04/11, I spent 12 talking to Piper, Hazel on various topics in the early evening..\nOn 2012/04/12, I did running on 2012/04/12..\nOn 2012/04/12, I watched a documentary for 42 minutes on TV today..\nOn 2012/04/13, I prepare sushi for dinner..\nOn 2012/04/13, I spent 13 minutes watching news on TV today..\nOn 2012/04/14, I ate sushi for lunch..\nOn 2012/04/15, I did running on 2012/04/15..\nOn 2012/04/15, I talked to Lydia for 50 minutes late in the evening..\nOn 2012/04/17, I spent time working out on 2012/04/17 with Carter, Andrew, Kayden..\nOn 2012/04/17, I watched a tv series for 15 minutes on TV today..\nOn 2012/04/18, I talked to Layla, Eva, Nevaeh for 40 minutes in the early afternoon..\nOn 2012/04/19, I ate fish and chips for lunch..\nOn 2012/04/19, I had dinner with Piper, Olivia, Kinsley, Nora, Lydia, Avery, Hazel, Rylee. I ate steak..\nOn 2012/04/20, I did biking on 2012/04/20..\nOn 2012/04/20, I prepare indian food for dinner..\nOn 2012/04/21, I prepare cereals for breakfast..\nOn 2012/04/21, I had dinner. I ate a burger..\nOn 2012/04/22, I prepare sushi for dinner..\nOn 2012/04/23, I did weight lifting on 2012/04/23..\nOn 2012/04/23, I spent 49 minutes on news today..\nOn 2012/04/24, I ate fish and chips for lunch..\nOn 2012/04/24, I had sandwich for dinner with Kayden.\nOn 2012/04/24, I spent 25 minutes on a book today..\nOn 2012/04/24, I spent 23 minutes watching a movie on TV today..\nOn 2012/04/25, I spent 10 minutes on social media today..\nOn 2012/04/25, I spent 6 minutes watching a movie on TV today..\nOn 2012/04/27, I spent 55 minutes on social media today..\nOn 2012/04/27, I spent 14 minutes watching a movie on TV today..\nOn 2012/04/28, I went on a date with Scarlett on 2012/04/28 at a restaurant.\nOn 2012/04/28, I had breakfast. I ate toast and cheese..\nOn 2012/04/28, I talked to Eva for 50 minutes during lunch hours..\nOn 2012/04/29, I ate a burger for dinner..\nOn 2012/04/30, I spent 36 minutes on social media today..\nOn 2012/05/01, I had breakfast. I ate pancakes..\nOn 2012/05/01, I spent 9 talking to Hazel on various topics in the early evening..\nOn 2012/05/04, I had breakfast. I ate oatmeal..\nOn 2012/05/04, I had chinese food for lunch with Benjamin.\nOn 2012/05/04, I had dinner with Andrew, Carter, Emily. I ate sushi..\nOn 2012/05/05, I went grocery shopping. I bought some oranges, chocolate milk, soda, sports drinks, and mouthwash, mouth wash, toothbrush.\nOn 2012/05/05, I spent 19 talking to Nora, Piper on various topics in the morning..\nOn 2012/05/06, I did running on 2012/05/06..\nOn 2012/05/06, I had breakfast with Avery, Jackson. I ate toast and cheese..\nOn 2012/05/06, I spent 34 minutes on a book today..\nOn 2012/05/07, I bought some peaches, mineral water, guava juice, conditioner, body lotion from the grocery store. I saw Kinsley, Nora, Lydia, Olivia, Claire at the grocery store..\nOn 2012/05/07, I did weight lifting on 2012/05/07..\nOn 2012/05/07, I talked to Layla for 53 minutes in the early evening..\nOn 2012/05/08, I went on a date with Elijah on 2012/05/08 at a restaurant.\nOn 2012/05/08, I had pasta for lunch with Olivia, Hazel, Piper, Claire, Kinsley, Lydia, Nora, Piper, Layla, Rylee, Nevaeh, Eva, Avery.\nOn 2012/05/09, I ate pancakes for breakfast..\nOn 2012/05/10, I watched a tv series for 10 minutes on TV today..\nOn 2012/05/12, I spent 29 talking to Piper, Kinsley, Avery, Nevaeh on various topics in the early afternoon..\nOn 2012/05/13, I went on a date with Ellie on 2012/05/13 at a coffee Shop.\nOn 2012/05/13, I had pancakes for breakfast with Jackson, Willow, Avery.\nOn 2012/05/13, I had dinner with Hazel, Piper. I ate tacos..\nOn 2012/05/14, I prepare chinese food for lunch..\nOn 2012/05/14, I had dinner. I ate sandwich..\nOn 2012/05/15, I bought some bananas, nectarines, mineral water, toilet paper, toothpaste, body lotion, mouthwash from the grocery store. I saw Claire, Olivia, Avery, Piper, Eva, Kinsley, Lydia, Nora at the grocery store..\nOn 2012/05/15, I ate fish and chips for lunch..\nOn 2012/05/15, I spent 41 talking to Nora, Nevaeh, Olivia on various topics in the morning..\nOn 2012/05/15, I watched a documentary for 43 minutes on TV today..\nOn 2012/05/16, I did hiking on 2012/05/16..\nOn 2012/05/17, I did swimming on 2012/05/17..\nOn 2012/05/18, I went on a date with Dylan on 2012/05/18 at a park.\nOn 2012/05/18, I prepare sandwich for lunch..\nOn 2012/05/18, I ate indian food for dinner..\nOn 2012/05/19, I prepare a burger for lunch..\nOn 2012/05/19, I had indian food for dinner with Rylee, Avery, Nevaeh.\nOn 2012/05/20, I talked to Olivia, Piper, Piper for 32 minutes in the early afternoon..\nOn 2012/05/20, I spent 10 minutes on social media today..\nOn 2012/05/21, I did swimming on 2012/05/21..\nOn 2012/05/21, I spent 7 minutes watching a tv series on TV today..\nOn 2012/05/22, I did swimming on 2012/05/22..\nOn 2012/05/23, I spent 16 talking to Lydia on various topics in the early afternoon..\nOn 2012/05/24, I had eggs, sausages, and bread for breakfast with Rylee, Kinsley, Layla, Avery, Lydia, Eva.\nOn 2012/05/25, I did running on 2012/05/25..\nOn 2012/05/25, I watched a documentary for 42 minutes on TV today..\nOn 2012/05/26, I prepare chinese food for dinner..\nOn 2012/05/26, I spent 39 minutes on social media today..\nOn 2012/05/27, I spent 21 talking to Piper, Eva on various topics in the early afternoon..\nOn 2012/05/27, I spent 5 minutes reading a book today..\nOn 2012/05/27, I spent 42 minutes watching a documentary on TV today..\nOn 2012/05/28, On 2012/05/28, I took Maya on a date to a boba shop.\nOn 2012/05/28, I did biking on 2012/05/28..\nOn 2012/05/28, I spent 22 talking to Piper on various topics in the early evening..\nOn 2012/05/29, I ate pancakes for breakfast..\nOn 2012/05/30, I ate peanut-butter-jam for breakfast..\nOn 2012/05/30, I talked to Nora, Rylee, Hazel, Olivia for 40 minutes late in the evening..\nOn 2012/05/31, I talked to Kinsley, Nevaeh, Hazel, Eva for 53 minutes during lunch hours..\nOn 2012/06/01, I bought some guava, cherres, bananas, apples, tea, coffee, apple juice, conditioner, toothbrush, mouth wash from the grocery store. I saw Emily, Kayden at the grocery store..\nOn 2012/06/01, I did hiking on 2012/06/01..\nOn 2012/06/02, I had breakfast. I ate toast and cheese..\nOn 2012/06/03, I had pancakes for breakfast with Avery, Jackson, Benjamin.\nOn 2012/06/03, I spent 34 talking to Avery, Kinsley, Claire on various topics in the morning..\nOn 2012/06/04, I talked to Kinsley, Layla for 18 minutes during lunch hours..\nOn 2012/06/05, I did swimming on 2012/06/05..\nOn 2012/06/05, I had lunch with Olivia, Lydia, Kinsley, Nora, Nevaeh. I ate tacos..\nOn 2012/06/06, I had breakfast with Willow. I ate eggs, sausages, and bread..\nOn 2012/06/06, I ate a burger for lunch..\nOn 2012/06/07, I went grocery shopping with Emily. I bought some watermelons, peaches, cherres, guava, chocolate milk, apple juice, mango juice, and paper towel, mouth wash, shampoo.\nOn 2012/06/07, I had breakfast. I ate oatmeal..\nOn 2012/06/07, I spent 39 talking to Layla on various topics in the early evening..\nOn 2012/06/08, I talked to Olivia, Eva, Nevaeh, Claire for 34 minutes in the morning..\nOn 2012/06/09, I had lunch with Olivia, Eva, Claire. I ate tacos..\nOn 2012/06/09, I prepare steak for dinner..\nOn 2012/06/09, I spent 18 minutes reading a book today..\nOn 2012/06/10, I ate sandwich for dinner..\nOn 2012/06/10, I talked to Olivia, Nora, Piper, Avery for 36 minutes during lunch hours..\nOn 2012/06/10, I spent 44 minutes on social media today..\nOn 2012/06/11, I talked to Olivia for 12 minutes in the early evening..\nOn 2012/06/11, I spent 23 minutes on a book today..\nOn 2012/06/12, I spent 54 talking to Rylee, Lydia, Kinsley, Claire on various topics in the morning..\nOn 2012/06/12, I spent 20 minutes watching news on TV today..\nOn 2012/06/13, I spent 50 talking to Lydia, Hazel, Layla on various topics in the late afternoon..\nOn 2012/06/15, I spent 46 talking to Hazel on various topics in the early afternoon..\nOn 2012/06/16, I prepare fish and chips for lunch..\nOn 2012/06/16, I spent 39 talking to Claire on various topics in the morning..\nOn 2012/06/16, I watched a movie for 30 minutes on TV today..\nOn 2012/06/19, I had peanut-butter-jam for breakfast with Kayden.\nOn 2012/06/19, I spent 22 minutes watching a movie on TV today..\nOn 2012/06/20, I spent 27 minutes reading a book today..\nOn 2012/06/21, I did swimming on 2012/06/21..\nOn 2012/06/21, I had dinner with Kayden, Andrew. I ate fish and chips..\nOn 2012/06/21, I spent 5 talking to Avery, Olivia on various topics during lunch hours..\nOn 2012/06/22, I had a burger for dinner with Kayden, Andrew, Emily.\nOn 2012/06/22, I talked to Olivia, Hazel, Rylee for 46 minutes in the early afternoon..\nOn 2012/06/22, I spent 42 minutes watching a tv series on TV today..\nOn 2012/06/23, I bought some pineapples, raspberries, coffee, paper towel, shampoo from the grocery store. I saw Eva, Lydia, Piper, Piper, Claire, Nora, Avery, Hazel at the grocery store..\nOn 2012/06/24, I spent 43 minutes watching a documentary on TV today..\nOn 2012/06/25, I spent 49 minutes reading a book today..\nOn 2012/06/26, I talked to Layla for 43 minutes in the morning..\nOn 2012/06/26, I spent 31 minutes on social media today..\nOn 2012/06/26, I watched a documentary for 19 minutes on TV today..\nOn 2012/06/27, I spent time learning a language on 2012/06/27 with Kayden, Emily, Carter..\nOn 2012/06/27, I did HIIT on 2012/06/27..\nOn 2012/06/28, I went on a date with Audrey on 2012/06/28 at a coffee Shop.\nOn 2012/06/28, I did weight lifting on 2012/06/28..\nOn 2012/06/28, I ate sushi for lunch..\nOn 2012/06/28, I talked to Rylee for 10 minutes in the early afternoon..\nOn 2012/06/28, I spent 8 minutes watching news on TV today..\nOn 2012/06/30, I had lunch with Benjamin, Willow, Avery, Jackson. I ate steak..\nOn 2012/06/30, I talked to Nevaeh, Olivia, Piper for 13 minutes during lunch hours..\nOn 2012/06/30, I spent 36 minutes on news today..\nOn 2012/07/01, I ate fish and chips for lunch..\nOn 2012/07/01, I talked to Piper, Eva for 52 minutes late in the evening..\nOn 2012/07/01, I spent 36 minutes reading a book today..\nOn 2012/07/02, On 2012/07/02, I took David on a date to a boba shop.\nOn 2012/07/02, I had sandwich for dinner with Hazel, Rylee, Avery.\nOn 2012/07/02, I talked to Nevaeh, Olivia for 46 minutes late in the evening..\nOn 2012/07/03, I spent 13 minutes reading a book today..\nOn 2012/07/04, I prepare sandwich for lunch..\nOn 2012/07/05, I really enjoyed meditation on 2012/07/05.\nOn 2012/07/05, I spent 53 minutes reading a book today..\nOn 2012/07/06, I spent 34 talking to Hazel, Piper, Nora on various topics during lunch hours..\nOn 2012/07/07, I bought some pears, nectarines, oranges, pineapple juice, coffee, shampoo, toilet paper, paper towel, toothbrush from the grocery store. I saw Nevaeh, Claire, Eva, Piper, Avery, Piper, Hazel at the grocery store..\nOn 2012/07/07, I had breakfast. I ate toast and cheese..\nOn 2012/07/08, I had steak for dinner with Benjamin.\nOn 2012/07/09, I had lunch with Eva, Kinsley, Lydia, Nevaeh. I ate indian food..\nOn 2012/07/09, I had steak for dinner with Kayden, Andrew, Emily, Carter.\nOn 2012/07/09, I talked to Hazel, Olivia for 28 minutes in the early evening..\nOn 2012/07/10, I prepare toast and cheese for breakfast..\nOn 2012/07/10, I spent 11 minutes on social media today..\nOn 2012/07/11, I took my parents for their for an annual physical checkup on 2012/07/11 at the university hospital..\nOn 2012/07/11, I spent 48 talking to Hazel, Nora, Lydia on various topics in the late afternoon..\nOn 2012/07/12, I spent time working out on 2012/07/12 with Carter, Andrew, Emily..\nOn 2012/07/12, I bought some cherres, mineral water, sports drinks, guava juice, toothpaste online..\nOn 2012/07/12, I talked to Kinsley, Eva, Layla, Avery for 23 minutes late in the evening..\nOn 2012/07/13, I did biking on 2012/07/13..\nOn 2012/07/13, I talked to Piper, Lydia, Nevaeh for 51 minutes in the morning..\nOn 2012/07/14, I prepare indian food for dinner..\nOn 2012/07/14, I talked to Eva, Nora for 31 minutes in the early evening..\nOn 2012/07/15, I spent 38 minutes on news today..\nOn 2012/07/16, I prepare oatmeal for breakfast..\nOn 2012/07/17, I spent 5 talking to Nevaeh, Lydia on various topics in the early evening..\nOn 2012/07/18, I had lunch. I ate fish and chips..\nOn 2012/07/20, I prepare a burger for dinner..\nOn 2012/07/21, On 2012/07/21, I took Genesis on a date to a restaurant.\nOn 2012/07/21, I went grocery shopping with Willow, Jackson, Benjamin. I bought some raspberries, apricots, tea, chocolate milk, apple juice, and mouthwash, paper towel, toothbrush, conditioner.\nOn 2012/07/22, I had breakfast with Emily. I ate eggs, sausages, and bread..\nOn 2012/07/23, I did hiking on 2012/07/23..\nOn 2012/07/23, I talked to Nora, Piper for 9 minutes in the early evening..\nOn 2012/07/24, I spent 11 talking to Lydia, Kinsley, Claire on various topics in the late afternoon..\nOn 2012/07/25, I had pancakes for breakfast with Kayden, Andrew, Emily.\nOn 2012/07/25, I spent 46 minutes watching a movie on TV today..\nOn 2012/07/26, I spent 53 minutes reading social media today..\nOn 2012/07/27, I did biking on 2012/07/27..\nOn 2012/07/27, I had breakfast. I ate eggs, sausages, and bread..\nOn 2012/07/27, I watched a documentary for 16 minutes on TV today..\nOn 2012/07/28, I prepare cereals for breakfast..\nOn 2012/07/29, I did swimming on 2012/07/29..\nOn 2012/07/30, I spent 31 talking to Eva, Avery, Claire on various topics late in the evening..\nOn 2012/07/31, I bought some apricots, apples, watermelons, mineral water, sports drinks, shaving cream, conditioner from the grocery store. I saw Carter, Kayden, Andrew at the grocery store..\nOn 2012/07/31, I did HIIT on 2012/07/31..\nOn 2012/07/31, I had dinner. I ate fish and chips..\nOn 2012/07/31, I spent 46 minutes reading social media today..\nOn 2012/08/02, I ate indian food for lunch..\nOn 2012/08/03, I bought some cherres, blackberries, raspberries, guava, pineapple juice, mineral water, tea, soda, body lotion from the grocery store. I saw Emily at the grocery store..\nOn 2012/08/03, I did weight lifting on 2012/08/03..\nOn 2012/08/03, I spent 21 talking to Lydia, Eva, Olivia, Claire on various topics in the early afternoon..\nOn 2012/08/04, I really enjoyed gardening on 2012/08/04.\nOn 2012/08/04, I spent 8 minutes on a book today..\nOn 2012/08/05, I prepare fish and chips for lunch..\nOn 2012/08/05, I talked to Olivia, Lydia, Rylee for 19 minutes in the morning..\nOn 2012/08/05, I spent 31 minutes reading social media today..\nOn 2012/08/06, I spent 14 minutes reading a book today..\nOn 2012/08/08, I bought some apples, tea, toothbrush, shampoo from the grocery store. I saw Carter at the grocery store..\nOn 2012/08/08, I did hiking on 2012/08/08..\nOn 2012/08/09, I did HIIT on 2012/08/09..\nOn 2012/08/09, I had breakfast with Jackson, Willow, Avery. I ate pancakes..\nOn 2012/08/09, I talked to Eva, Avery, Rylee for 54 minutes in the early evening..\nOn 2012/08/10, I ate steak for lunch..\nOn 2012/08/10, I talked to Lydia, Olivia for 7 minutes late in the evening..\nOn 2012/08/11, I spent 54 talking to Kinsley, Avery, Nora on various topics in the morning..\nOn 2012/08/11, I watched a movie for 9 minutes on TV today..\nOn 2012/08/12, I talked to Piper for 23 minutes in the early afternoon..\nOn 2012/08/12, I watched a tv series for 19 minutes on TV today..\nOn 2012/08/14, I ate indian food for lunch..\nOn 2012/08/14, I had dinner. I ate indian food..\nOn 2012/08/14, I spent 14 talking to Nora, Olivia, Piper on various topics in the morning..\nOn 2012/08/15, I did swimming on 2012/08/15..\nOn 2012/08/15, I had oatmeal for breakfast with Eva, Rylee, Piper, Hazel, Piper, Nora, Olivia, Kinsley.\nOn 2012/08/15, I had steak for dinner with Claire, Piper, Eva, Rylee, Lydia, Olivia, Nevaeh, Hazel, Piper, Kinsley, Nora, Avery.\nOn 2012/08/15, I spent 20 minutes reading news today..\nOn 2012/08/16, I spent 55 minutes on social media today..\nOn 2012/08/16, I spent 11 minutes watching a documentary on TV today..\nOn 2012/08/17, I spent 44 talking to Kinsley, Nora, Eva, Layla on various topics in the morning..\nOn 2012/08/19, I had dinner with Jackson, Avery. I ate pasta..\nOn 2012/08/19, I talked to Olivia, Claire for 16 minutes in the morning..\nOn 2012/08/20, I spent 48 talking to Piper, Piper, Nevaeh, Hazel on various topics in the early afternoon..\nOn 2012/08/21, I bought some oranges, orange juice, soda, conditioner, toothbrush, toilet paper, shampoo from the grocery store. I saw Carter at the grocery store..\nOn 2012/08/21, I ate chinese food for lunch..\nOn 2012/08/22, I spent 51 talking to Kinsley, Olivia, Rylee, Piper on various topics late in the evening..\nOn 2012/08/23, I had breakfast. I ate eggs, sausages, and bread..\nOn 2012/08/23, I had dinner with Avery, Nevaeh, Claire, Lydia, Nora, Piper, Eva, Kinsley, Rylee, Layla, Olivia, Piper. I ate sushi..\nOn 2012/08/23, I spent 50 talking to Hazel, Lydia on various topics in the early evening..\nOn 2012/08/24, I did hiking on 2012/08/24..\nOn 2012/08/25, I really enjoyed working out on 2012/08/25.\nOn 2012/08/25, I prepare tacos for lunch..\nOn 2012/08/25, I spent 27 minutes reading news today..\nOn 2012/08/26, I spent 10 minutes reading a book today..\nOn 2012/08/27, I spent 20 talking to Layla, Eva, Claire, Avery on various topics in the early afternoon..\nOn 2012/08/28, I ate chinese food for lunch..\nOn 2012/08/29, I bought some watermelons, chocolate milk, sports drinks, shampoo, mouthwash, mouth wash from the grocery store. I saw Emily, Carter, Kayden at the grocery store..\nOn 2012/08/29, I spent 25 minutes reading a book today..\nOn 2012/08/30, I spent 37 minutes on social media today..\nOn 2012/08/31, I prepare sandwich for dinner..\nOn 2012/09/01, I had dinner with Claire, Rylee, Piper, Eva, Hazel, Lydia. I ate indian food..\nOn 2012/09/01, I talked to Avery, Piper for 12 minutes in the early afternoon..\nOn 2012/09/02, I spent 27 talking to Nevaeh on various topics late in the evening..\nOn 2012/09/03, I did HIIT on 2012/09/03..\nOn 2012/09/04, I had toast and cheese for breakfast with Carter, Kayden, Andrew, Emily.\nOn 2012/09/04, I had dinner. I ate sushi..\nOn 2012/09/06, I went grocery shopping with Piper, Kinsley. I bought some apples, peaches, pineapples, guava juice, milk, chocolate milk, and facial wash, mouthwash, toothpaste, body lotion.\nOn 2012/09/06, I had breakfast with Claire, Lydia, Nevaeh, Piper, Kinsley, Avery, Piper. I ate pancakes..\nOn 2012/09/06, I talked to Rylee, Nevaeh, Piper for 47 minutes in the late afternoon..\nOn 2012/09/07, I spent 24 minutes reading a book today..\nOn 2012/09/08, I had oatmeal for breakfast with Avery, Willow.\nOn 2012/09/08, I spent 24 minutes on a book today..\nOn 2012/09/09, I prepare indian food for dinner..\nOn 2012/09/10, I ate pasta for dinner..\nOn 2012/09/10, I spent 18 talking to Piper, Olivia, Nora on various topics late in the evening..\nOn 2012/09/10, I spent 55 minutes on social media today..\nOn 2012/09/10, I watched a movie for 45 minutes on TV today..\nOn 2012/09/11, I prepare tacos for dinner..\nOn 2012/09/11, I spent 31 talking to Claire, Eva, Piper on various topics in the morning..\nOn 2012/09/12, I prepare fish and chips for dinner..\nOn 2012/09/12, I spent 34 minutes reading social media today..\nOn 2012/09/13, I ate toast and cheese for breakfast..\nOn 2012/09/13, I talked to Lydia, Nora, Hazel for 54 minutes in the early evening..\nOn 2012/09/15, I watched a movie for 39 minutes on TV today..\nOn 2012/09/16, I spent 33 minutes on a book today..\nOn 2012/09/17, I spent 10 talking to Nevaeh, Hazel, Layla, Eva on various topics in the early evening..\nOn 2012/09/18, I went for an annual physical checkup on 2012/09/18 at the university hospital..\nOn 2012/09/18, I spent 35 talking to Nevaeh, Lydia on various topics late in the evening..\nOn 2012/09/18, I spent 27 minutes reading social media today..\nOn 2012/09/19, I had dinner. I ate sushi..\nOn 2012/09/20, I had breakfast with Piper, Claire, Olivia, Nevaeh, Rylee, Hazel, Piper, Eva. I ate pancakes..\nOn 2012/09/20, I had steak for dinner with Jackson, Benjamin.\nOn 2012/09/20, I spent 51 talking to Olivia, Nora, Eva on various topics in the morning..\nOn 2012/09/21, I talked to Rylee, Lydia, Olivia for 29 minutes in the morning..\nOn 2012/09/23, I did weight lifting on 2012/09/23..\nOn 2012/09/23, I had breakfast with Andrew, Carter, Kayden. I ate oatmeal..\nOn 2012/09/23, I spent 6 talking to Kinsley, Claire, Piper, Nevaeh on various topics in the late afternoon..\nOn 2012/09/24, I prepare sushi for dinner..\nOn 2012/09/24, I watched a tv series for 53 minutes on TV today..\nOn 2012/09/25, I had lunch with Nora, Hazel, Piper, Layla, Eva, Nevaeh, Rylee, Lydia. I ate fish and chips..\nOn 2012/09/25, I prepare a burger for dinner..\nOn 2012/09/25, I talked to Nora, Eva, Avery, Rylee for 16 minutes late in the evening..\nOn 2012/09/25, I spent 13 minutes watching a movie on TV today..\nOn 2012/09/26, I did hiking on 2012/09/26..\nOn 2012/09/26, I talked to Piper for 49 minutes late in the evening..\nOn 2012/09/27, I spent some time learning a language on 2012/09/27..\nOn 2012/09/27, I had chinese food for dinner with Nevaeh.\nOn 2012/09/27, I spent 51 talking to Eva on various topics in the early evening..\nOn 2012/09/28, I had lunch with Kinsley, Claire, Piper, Eva, Olivia, Piper. I ate sandwich..\nOn 2012/09/28, I ate indian food for dinner..\nOn 2012/09/28, I spent 51 talking to Avery, Layla on various topics in the early afternoon..\nOn 2012/09/29, I did HIIT on 2012/09/29..\nOn 2012/09/29, I prepare oatmeal for breakfast..\nOn 2012/09/29, I ate sandwich for dinner..\nOn 2012/09/29, I talked to Eva, Piper for 21 minutes late in the evening..\nOn 2012/09/30, I did weight lifting on 2012/09/30..\nOn 2012/09/30, I had oatmeal for breakfast with Benjamin, Avery, Jackson.\nOn 2012/09/30, I ate sushi for lunch..\nOn 2012/09/30, I talked to Kinsley, Nora, Eva, Layla for 18 minutes in the late afternoon..\nOn 2012/10/01, I did weight lifting on 2012/10/01..\nOn 2012/10/01, I spent 7 minutes reading social media today..\nOn 2012/10/01, I watched a tv series for 41 minutes on TV today..\nOn 2012/10/02, I spent 49 minutes watching a tv series on TV today..\nOn 2012/10/03, I spent some time gardening on 2012/10/03..\nOn 2012/10/03, I ate pasta for lunch..\nOn 2012/10/03, I talked to Piper for 9 minutes late in the evening..\nOn 2012/10/03, I spent 8 minutes on news today..\nOn 2012/10/04, I did biking on 2012/10/04..\nOn 2012/10/04, I prepare tacos for lunch..\nOn 2012/10/04, I spent 39 minutes watching a documentary on TV today..\nOn 2012/10/05, I spent 8 talking to Kinsley, Piper, Layla on various topics in the early afternoon..\nOn 2012/10/05, I watched news for 28 minutes on TV today..\nOn 2012/10/07, I went grocery shopping with Benjamin, Jackson, Willow, Avery. I bought some pears, apple juice, soda, pineapple juice, sports drinks, and toothbrush.\nOn 2012/10/07, I had lunch with Andrew. I ate tacos..\nOn 2012/10/07, I spent 41 talking to Piper, Piper on various topics in the late afternoon..\nOn 2012/10/07, I spent 43 minutes watching a documentary on TV today..\nOn 2012/10/08, I had eggs, sausages, and bread for breakfast with Emily.\nOn 2012/10/08, I spent 52 minutes reading news today..\nOn 2012/10/08, I watched a documentary for 52 minutes on TV today..\nOn 2012/10/09, I had steak for dinner with Benjamin, Jackson.\nOn 2012/10/09, I spent 22 minutes watching a movie on TV today..\nOn 2012/10/10, I did biking on 2012/10/10..\nOn 2012/10/10, I watched a movie for 9 minutes on TV today..\nOn 2012/10/11, On 2012/10/11, I took Everleigh on a date to a restaurant.\nOn 2012/10/11, I did running on 2012/10/11..\nOn 2012/10/11, I had dinner. I ate tacos..\nOn 2012/10/11, I spent 29 minutes on news today..\nOn 2012/10/11, I spent 29 minutes watching news on TV today..\nOn 2012/10/12, I talked to Lydia, Rylee for 51 minutes during lunch hours..\nOn 2012/10/12, I spent 29 minutes on a book today..\nOn 2012/10/12, I watched a movie for 26 minutes on TV today..\nOn 2012/10/13, I ate a burger for dinner..\nOn 2012/10/13, I spent 52 talking to Rylee, Eva, Layla, Nora on various topics during lunch hours..\nOn 2012/10/15, I talked to Piper, Rylee, Hazel, Nevaeh for 5 minutes in the morning..\nOn 2012/10/16, I ate indian food for lunch..\nOn 2012/10/16, I talked to Nora, Hazel, Lydia, Claire for 50 minutes in the early afternoon..\nOn 2012/10/17, On 2012/10/17, I took Olivia on a date to a restaurant.\nOn 2012/10/18, I did hiking on 2012/10/18..\nOn 2012/10/18, I had pasta for dinner with Kayden.\nOn 2012/10/18, I spent 22 talking to Avery on various topics in the early evening..\nOn 2012/10/18, I spent 10 minutes watching a tv series on TV today..\nOn 2012/10/19, I prepare pasta for dinner..\nOn 2012/10/22, I spent 44 talking to Piper, Rylee on various topics in the early afternoon..\nOn 2012/10/24, I spent 16 minutes reading news today..\nOn 2012/10/25, I ate peanut-butter-jam for breakfast..\nOn 2012/10/26, I spent 34 minutes reading news today..\nOn 2012/10/27, I did biking on 2012/10/27..\nOn 2012/10/27, I had breakfast with Olivia, Piper, Rylee. I ate eggs, sausages, and bread..\nOn 2012/10/28, I did biking on 2012/10/28..\nOn 2012/10/28, I had eggs, sausages, and bread for breakfast with Avery.\nOn 2012/10/29, I had dinner. I ate sandwich..\nOn 2012/10/29, I spent 42 minutes watching news on TV today..\nOn 2012/10/30, I ate peanut-butter-jam for breakfast..\nOn 2012/10/30, I had lunch. I ate pasta..\nOn 2012/10/31, I did hiking on 2012/10/31..\nOn 2012/10/31, I ate pancakes for breakfast..\nOn 2012/11/01, I ate pasta for dinner..\nOn 2012/11/01, I talked to Nevaeh, Olivia for 50 minutes in the early afternoon..\nOn 2012/11/01, I watched a tv series for 18 minutes on TV today..\nOn 2012/11/02, I spent some time meditation on 2012/11/02..\nOn 2012/11/02, I bought some mandarins, guava, raspberries, pineapples, coffee, pineapple juice, sports drinks, facial wash online..\nOn 2012/11/02, I ate eggs, sausages, and bread for breakfast..\nOn 2012/11/02, I talked to Olivia for 48 minutes in the late afternoon..\nOn 2012/11/04, I had sandwich for lunch with Benjamin, Jackson, Willow.\nOn 2012/11/04, I spent 45 talking to Nora, Olivia, Kinsley on various topics in the early afternoon..\nOn 2012/11/04, I spent 27 minutes on social media today..\nOn 2012/11/05, I prepare sushi for dinner..\nOn 2012/11/05, I talked to Claire, Avery, Lydia, Nevaeh for 51 minutes in the late afternoon..\nOn 2012/11/05, I spent 34 minutes on a book today..\nOn 2012/11/06, I spent 30 minutes watching news on TV today..\nOn 2012/11/07, I had breakfast. I ate peanut-butter-jam..\nOn 2012/11/07, I had lunch. I ate indian food..\nOn 2012/11/07, I spent 10 minutes on social media today..\nOn 2012/11/08, I did running on 2012/11/08..\nOn 2012/11/08, I had lunch. I ate pasta..\nOn 2012/11/09, I prepare peanut-butter-jam for breakfast..\nOn 2012/11/10, I had dinner with Piper, Nora, Rylee, Layla, Claire, Avery, Nevaeh, Hazel, Piper, Lydia, Kinsley. I ate sushi..\nOn 2012/11/11, I spent 9 minutes watching a tv series on TV today..\nOn 2012/11/12, I had breakfast with Kayden, Andrew, Carter. I ate cereals..\nOn 2012/11/13, I did HIIT on 2012/11/13..\nOn 2012/11/13, I talked to Piper, Nora for 27 minutes in the early evening..\nOn 2012/11/13, I watched news for 19 minutes on TV today..\nOn 2012/11/14, I ate pancakes for breakfast..\nOn 2012/11/14, I spent 46 minutes reading social media today..\nOn 2012/11/14, I spent 17 minutes watching a tv series on TV today..\nOn 2012/11/15, I prepare tacos for dinner..\nOn 2012/11/16, I had breakfast with Claire, Hazel, Lydia. I ate oatmeal..\nOn 2012/11/16, I spent 9 minutes reading social media today..\nOn 2012/11/16, I spent 40 minutes watching a documentary on TV today..\nOn 2012/11/17, I had breakfast. I ate peanut-butter-jam..\nOn 2012/11/17, I prepare indian food for dinner..\nOn 2012/11/18, I went grocery shopping. I bought some apples, oranges, pineapple juice, mango juice, orange juice, chocolate milk, and mouth wash, mouthwash, facial wash.\nOn 2012/11/20, I talked to Layla for 24 minutes late in the evening..\nOn 2012/11/22, I had pasta for lunch with Kinsley, Olivia, Nora, Piper.\nOn 2012/11/23, I spent 50 minutes on social media today..\nOn 2012/11/24, I bought some strawberries, sports drinks, coffee, apple juice, pineapple juice, body lotion, toothbrush, mouth wash, mouthwash online..\nOn 2012/11/24, I did swimming on 2012/11/24..\nOn 2012/11/24, I had toast and cheese for breakfast with Avery.\nOn 2012/11/24, I ate tacos for dinner..\nOn 2012/11/24, I spent 54 talking to Avery, Piper on various topics in the morning..\nOn 2012/11/24, I watched a tv series for 34 minutes on TV today..\nOn 2012/11/25, I took my parents for their for an annual dental cleaning and checkup on 2012/11/25 at the private clinic..\nOn 2012/11/26, I had lunch. I ate fish and chips..\nOn 2012/11/26, I watched a movie for 41 minutes on TV today..\nOn 2012/11/27, I had breakfast with Willow, Jackson, Avery, Benjamin. I ate toast and cheese..\nOn 2012/11/28, I had sandwich for lunch with Kayden, Emily.\nOn 2012/11/28, I spent 32 talking to Hazel on various topics in the early evening..\nOn 2012/11/28, I spent 44 minutes watching a tv series on TV today..\nOn 2012/11/29, I had lunch. I ate a burger..\nOn 2012/11/29, I spent 34 minutes reading a book today..\nOn 2012/11/30, I went on a date with Ethan on 2012/11/30 at a restaurant.\nOn 2012/11/30, I bought some cherres, pears, coffee, mineral water, mango juice, apple juice, toothbrush, paper towel, facial wash, mouthwash from the grocery store. I saw Carter, Andrew, Kayden at the grocery store..\nOn 2012/11/30, I talked to Layla, Piper for 43 minutes late in the evening..\nOn 2012/11/30, I spent 31 minutes reading social media today..\nOn 2012/12/01, I had tacos for dinner with Willow, Jackson.\nOn 2012/12/01, I spent 32 talking to Avery, Piper on various topics during lunch hours..\nOn 2012/12/01, I watched a movie for 41 minutes on TV today..\nOn 2012/12/05, I had breakfast. I ate cereals..\nOn 2012/12/06, I had sushi for lunch with Benjamin, Willow, Avery.\nOn 2012/12/06, I prepare pasta for dinner..\nOn 2012/12/07, I spent some time learning a language on 2012/12/07..\nOn 2012/12/08, I talked to Lydia, Rylee for 52 minutes in the morning..\nOn 2012/12/08, I watched a movie for 17 minutes on TV today..\nOn 2012/12/09, I had breakfast. I ate pancakes..\nOn 2012/12/09, I spent 53 minutes watching a documentary on TV today..\nOn 2012/12/10, I did HIIT on 2012/12/10..\nOn 2012/12/10, I spent 17 minutes watching a tv series on TV today..\nOn 2012/12/11, I spent some time learning a language on 2012/12/11..\nOn 2012/12/11, I had tacos for dinner with Andrew.\nOn 2012/12/11, I spent 55 talking to Claire, Kinsley, Hazel on various topics in the late afternoon..\nOn 2012/12/12, I spent 54 talking to Nevaeh on various topics during lunch hours..\nOn 2012/12/12, I spent 40 minutes watching a documentary on TV today..\nOn 2012/12/13, I ate toast and cheese for breakfast..\nOn 2012/12/14, I prepare pasta for dinner..\nOn 2012/12/14, I spent 40 minutes on social media today..\nOn 2012/12/15, I had oatmeal for breakfast with Claire.\nOn 2012/12/15, I ate steak for lunch..\nOn 2012/12/15, I ate tacos for dinner..\nOn 2012/12/15, I talked to Claire, Eva for 34 minutes in the late afternoon..\nOn 2012/12/15, I spent 40 minutes reading social media today..\nOn 2012/12/16, I had tacos for lunch with Emily, Andrew, Kayden, Carter.\nOn 2012/12/16, I spent 30 minutes on social media today..\nOn 2012/12/16, I spent 15 minutes watching a documentary on TV today..\nOn 2012/12/17, I spent 49 minutes reading a book today..\nOn 2012/12/18, I had breakfast with Kayden, Emily, Andrew. I ate pancakes..\nOn 2012/12/18, I spent 24 minutes on news today..\nOn 2012/12/18, I watched a movie for 29 minutes on TV today..\nOn 2012/12/19, I went on a date with Hunter on 2012/12/19 at a park.\nOn 2012/12/19, I spent 5 minutes on news today..\nOn 2012/12/20, I went grocery shopping with Carter. I bought some pineapples, mandarins, clementines, coffee, and paper towel.\nOn 2012/12/20, I spent 39 talking to Lydia, Eva, Layla, Nevaeh on various topics in the morning..\nOn 2012/12/21, I spent 20 talking to Nora, Hazel on various topics in the early evening..\nOn 2012/12/21, I spent 32 minutes watching a tv series on TV today..\nOn 2012/12/22, I talked to Kinsley for 32 minutes in the morning..\nOn 2012/12/24, I had indian food for dinner with Andrew.\nOn 2012/12/25, I spent 29 minutes reading news today..\nOn 2012/12/26, I had fish and chips for lunch with Avery.\nOn 2012/12/27, I had breakfast with Willow. I ate toast and cheese..\nOn 2012/12/27, I watched a tv series for 27 minutes on TV today..\nOn 2012/12/28, I talked to Eva for 19 minutes in the morning..\nOn 2012/12/28, I watched a documentary for 39 minutes on TV today..\nOn 2012/12/29, I bought some blackberries, mandarins, pineapples, blueberries, mineral water, body lotion online..\nOn 2012/12/29, I had dinner. I ate indian food..\nOn 2012/12/29, I spent 9 talking to Piper, Kinsley, Avery, Lydia on various topics late in the evening..\nOn 2012/12/29, I spent 34 minutes watching news on TV today..\nOn 2012/12/30, I had peanut-butter-jam for breakfast with Benjamin.\nOn 2012/12/30, I talked to Lydia, Hazel for 45 minutes in the late afternoon..\nOn 2012/12/30, I watched a tv series for 44 minutes on TV today..\nOn 2012/12/31, I prepare toast and cheese for breakfast..\nOn 2012/12/31, I had dinner with Emily. I ate tacos..\nOn 2013/01/01, I had lunch. I ate sushi..\nOn 2013/01/01, I talked to Layla, Hazel, Piper, Nora for 51 minutes late in the evening..\nOn 2013/01/02, I did running on 2013/01/02..\nOn 2013/01/02, I spent 33 talking to Olivia on various topics in the early evening..\nOn 2013/01/03, I prepare indian food for dinner..\nOn 2013/01/04, I did HIIT on 2013/01/04..\nOn 2013/01/05, I had tacos for dinner with Kayden, Carter, Andrew, Emily.\nOn 2013/01/05, I spent 51 minutes watching a tv series on TV today..\nOn 2013/01/06, I spent 8 minutes watching a tv series on TV today..\nOn 2013/01/07, I did HIIT on 2013/01/07..\nOn 2013/01/08, I did hiking on 2013/01/08..\nOn 2013/01/09, I had lunch. I ate steak..\nOn 2013/01/09, I talked to Kinsley for 44 minutes in the morning..\nOn 2013/01/09, I spent 20 minutes watching a documentary on TV today..\nOn 2013/01/10, I spent 22 minutes on social media today..\nOn 2013/01/10, I watched a documentary for 26 minutes on TV today..\nOn 2013/01/11, I had lunch. I ate indian food..\nOn 2013/01/11, I talked to Nevaeh, Piper, Rylee, Layla for 25 minutes in the early afternoon..\nOn 2013/01/12, I did hiking on 2013/01/12..\nOn 2013/01/12, I had pasta for dinner with Kayden, Andrew, Emily.\nOn 2013/01/12, I talked to Nevaeh, Lydia, Piper, Rylee for 18 minutes in the early afternoon..\nOn 2013/01/12, I spent 53 minutes on news today..\nOn 2013/01/12, I spent 36 minutes watching news on TV today..\nOn 2013/01/13, I did hiking on 2013/01/13..\nOn 2013/01/13, I talked to Nevaeh, Rylee, Layla, Piper for 33 minutes late in the evening..\nOn 2013/01/14, I went grocery shopping with Andrew, Carter, Emily, Kayden. I bought some raspberries, bananas, apples, soda, guava juice, milk, mango juice, and mouth wash.\nOn 2013/01/14, I had chinese food for dinner with Piper, Rylee, Olivia.\nOn 2013/01/14, I spent 26 minutes on social media today..\nOn 2013/01/15, I did swimming on 2013/01/15..\nOn 2013/01/15, I prepare eggs, sausages, and bread for breakfast..\nOn 2013/01/15, I had lunch with Emily, Kayden, Carter. I ate a burger..\nOn 2013/01/15, I talked to Layla, Piper, Olivia, Hazel for 5 minutes late in the evening..\nOn 2013/01/17, I did running on 2013/01/17..\nOn 2013/01/17, I ate pasta for lunch..\nOn 2013/01/17, I spent 43 minutes on social media today..\nOn 2013/01/18, I had breakfast with Andrew, Emily, Kayden. I ate oatmeal..\nOn 2013/01/19, I bought some nectarines, milk, coffee, mouth wash, shampoo from the grocery store. I saw Jackson, Benjamin at the grocery store..\nOn 2013/01/19, I had steak for lunch with Claire, Eva, Piper, Lydia, Layla, Kinsley, Hazel, Avery, Nevaeh.\nOn 2013/01/20, I went on a date with Leo on 2013/01/20 at a park.\nOn 2013/01/22, I ate steak for dinner..\nOn 2013/01/22, I spent 48 minutes on social media today..\nOn 2013/01/23, I did hiking on 2013/01/23..\nOn 2013/01/25, I ate sandwich for lunch..\nOn 2013/01/27, On 2013/01/27, I took Caleb on a date to a coffee Shop.\nOn 2013/01/27, I talked to Hazel, Olivia, Lydia, Piper for 52 minutes in the early evening..\nOn 2013/01/28, I prepare pancakes for breakfast..\nOn 2013/01/28, I talked to Nevaeh, Lydia for 39 minutes in the late afternoon..\nOn 2013/01/30, I went grocery shopping with Rylee, Lydia, Kinsley, Nevaeh, Piper, Piper, Avery, Olivia, Hazel, Layla, Eva, Nora, Claire. I bought some raspberries, blueberries, cherres, oranges, apple juice, and mouth wash.\nOn 2013/01/30, I had dinner. I ate fish and chips..\nOn 2013/01/30, I spent 8 minutes reading a book today..\nOn 2013/01/30, I watched a documentary for 53 minutes on TV today..\nOn 2013/01/31, I talked to Layla, Hazel for 20 minutes late in the evening..\nOn 2013/01/31, I spent 6 minutes watching a tv series on TV today..\nOn 2013/02/01, I had dinner with Andrew, Kayden. I ate sandwich..\nOn 2013/02/02, I went grocery shopping with Carter, Emily, Kayden. I bought some mandarins, nectarines, coffee, and conditioner.\nOn 2013/02/02, I ate fish and chips for lunch..\nOn 2013/02/02, I had pasta for dinner with Eva, Avery, Olivia.\nOn 2013/02/03, I had sandwich for lunch with Jackson, Benjamin.\nOn 2013/02/04, I spent 38 minutes on news today..\nOn 2013/02/05, I went grocery shopping with Hazel, Piper, Avery, Nevaeh. I bought some clementines, pineapples, milk, chocolate milk, and mouthwash, shampoo.\nOn 2013/02/05, I had lunch. I ate pasta..\nOn 2013/02/06, On 2013/02/06 Emily, Carter and I went to Philadelphia, US together for 13 days .\nOn 2013/02/06, I watched news for 36 minutes on TV today..\nOn 2013/02/07, During my trip to Philadelphia, US, I visited Philadelphia Museum of Art on 2013/02 with Emily, Carter..\nOn 2013/02/07, I ate street food at Wokworks City Hall Food Cart with Emily, Carter on  2013/02/07 when I was in Philadelphia, US..\nOn 2013/02/07, I spent 19 minutes on news today..\nOn 2013/02/08, During my trip to Philadelphia, US, I visited Liberty Bell on 2013/02 with Emily, Carter..\nOn 2013/02/08, I ate Japanese food at South Street Diner with Emily, Carter on  2013/02/08 when I was in Philadelphia, US..\nOn 2013/02/08, I had pasta for dinner with Benjamin, Jackson, Avery.\nOn 2013/02/09, During my trip to Philadelphia, US, I visited Carnaval on 2013/02 with Emily, Carter..\nOn 2013/02/09, I ate Chinese food at Wood Street Pizza with Emily, Carter on  2013/02/09 when I was in Philadelphia, US..\nOn 2013/02/09, I ate steak for lunch..\nOn 2013/02/10, During my trip to Philadelphia, US, I visited Ipanema on 2013/02 with Emily, Carter..\nOn 2013/02/10, I spent 41 talking to Claire, Layla, Nora, Avery on various topics in the late afternoon..\nOn 2013/02/11, During my trip to Philadelphia, US, I visited Independence Hall on 2013/02 with Emily, Carter..\nOn 2013/02/11, I ate Chinese food at High Street Philly with Emily, Carter on  2013/02/11 when I was in Philadelphia, US..\nOn 2013/02/12, I ate Japanese food at Lunch Street with Emily, Carter on  2013/02/12 when I was in Philadelphia, US..\nOn 2013/02/13, I ate street food at Wood Street Pizza with Emily, Carter on  2013/02/13 when I was in Philadelphia, US..\nOn 2013/02/14, I ate Italian food at Wokworks City Hall Food Cart with Emily, Carter on  2013/02/14 when I was in Philadelphia, US..\nOn 2013/02/14, I ate chinese food for dinner..\nOn 2013/02/15, I ate street food at South Street Diner with Emily, Carter on  2013/02/15 when I was in Philadelphia, US..\nOn 2013/02/15, I spent 12 talking to Claire, Eva on various topics in the early afternoon..\nOn 2013/02/17, I ate Indian food at South Street Diner with Emily, Carter on  2013/02/17 when I was in Philadelphia, US..\nOn 2013/02/17, I had a burger for lunch with Piper, Kinsley.\nOn 2013/02/17, I spent 12 minutes watching a documentary on TV today..\nOn 2013/02/18, I ate Chinese food at Wood Street Pizza with Emily, Carter on  2013/02/18 when I was in Philadelphia, US..\nOn 2013/02/18, I went on a date with Chloe on 2013/02/18 at a park.\nOn 2013/02/18, I spent 39 talking to Avery on various topics in the early evening..\nOn 2013/02/19, I ate Chinese food at Lunch Street with Emily, Carter on  2013/02/19 when I was in Philadelphia, US..\nOn 2013/02/19, I had pancakes for breakfast with Avery.\nOn 2013/02/19, I had chinese food for dinner with Carter, Andrew.\nOn 2013/02/19, I spent 44 talking to Piper, Layla, Rylee, Hazel on various topics in the early afternoon..\nOn 2013/02/20, I spent 41 minutes reading a book today..\nOn 2013/02/22, I watched a documentary for 54 minutes on TV today..\nOn 2013/02/24, I spent 41 minutes reading social media today..\nOn 2013/02/25, I did running on 2013/02/25..\nOn 2013/02/25, I spent 43 minutes watching a tv series on TV today..\nOn 2013/02/26, I did weight lifting on 2013/02/26..\nOn 2013/02/26, I ate pasta for dinner..\nOn 2013/02/26, I spent 42 minutes watching news on TV today..\nOn 2013/02/27, I had breakfast with Claire, Eva, Olivia, Piper, Hazel, Lydia, Rylee, Kinsley. I ate pancakes..\nOn 2013/02/27, I spent 6 minutes reading a book today..\nOn 2013/02/28, I prepare pancakes for breakfast..\nOn 2013/03/01, I talked to Hazel for 23 minutes in the early afternoon..\nOn 2013/03/01, I watched a tv series for 21 minutes on TV today..\nOn 2013/03/02, I watched news for 52 minutes on TV today..\nOn 2013/03/03, I bought some cherres, peaches, mango juice, apple juice, toilet paper from the grocery store. I saw Emily, Carter, Kayden, Andrew at the grocery store..\nOn 2013/03/03, I had lunch. I ate steak..\nOn 2013/03/03, I spent 47 talking to Layla, Claire, Lydia, Nora on various topics in the morning..\nOn 2013/03/04, I did weight lifting on 2013/03/04..\nOn 2013/03/04, I spent 17 minutes reading news today..\nOn 2013/03/07, I prepare eggs, sausages, and bread for breakfast..\nOn 2013/03/08, I ate chinese food for dinner..\nOn 2013/03/09, I had breakfast. I ate pancakes..\nOn 2013/03/09, I ate a burger for dinner..\nOn 2013/03/09, I spent 28 talking to Nora on various topics in the early afternoon..\nOn 2013/03/10, I did running on 2013/03/10..\nOn 2013/03/10, I spent 31 minutes watching a movie on TV today..\nOn 2013/03/11, I spent 41 talking to Lydia, Rylee, Olivia, Piper on various topics in the late afternoon..\nOn 2013/03/11, I spent 13 minutes on a book today..\nOn 2013/03/12, I spent 27 talking to Hazel on various topics in the early afternoon..\nOn 2013/03/13, I watched news for 49 minutes on TV today..\nOn 2013/03/14, I had dinner with Willow, Benjamin, Avery, Jackson. I ate fish and chips..\nOn 2013/03/14, I talked to Nevaeh, Nora, Rylee, Piper for 25 minutes during lunch hours..\nOn 2013/03/15, I had breakfast with Carter, Emily, Kayden. I ate cereals..\nOn 2013/03/15, I had dinner. I ate sushi..\nOn 2013/03/15, I spent 23 talking to Nora, Claire on various topics late in the evening..\nOn 2013/03/16, I prepare sandwich for dinner..\nOn 2013/03/17, I bought some peaches, milk, apple juice, tea, facial wash, shaving cream, mouthwash, toothbrush from the grocery store. I saw Andrew at the grocery store..\nOn 2013/03/17, I spent 40 talking to Layla, Rylee on various topics late in the evening..\nOn 2013/03/18, I did weight lifting on 2013/03/18..\nOn 2013/03/18, I had sandwich for dinner with Piper, Claire, Hazel, Nora, Kinsley, Eva, Rylee, Olivia, Lydia, Layla, Nevaeh, Avery, Piper.\nOn 2013/03/18, I spent 40 talking to Olivia, Avery, Eva, Hazel on various topics in the early afternoon..\nOn 2013/03/19, I spent 20 talking to Claire on various topics in the late afternoon..\nOn 2013/03/20, I did weight lifting on 2013/03/20..\nOn 2013/03/20, I prepare sushi for lunch..\nOn 2013/03/20, I prepare sushi for dinner..\nOn 2013/03/21, I went grocery shopping with Hazel, Rylee, Piper, Nora. I bought some bananas, peaches, guava, strawberries, mango juice, orange juice, soda, and toilet paper.\nOn 2013/03/21, I had fish and chips for lunch with Emily, Kayden.\nOn 2013/03/21, I talked to Claire, Hazel, Piper, Nevaeh for 55 minutes during lunch hours..\nOn 2013/03/22, I had breakfast with Olivia, Piper, Claire, Lydia, Eva, Hazel. I ate cereals..\nOn 2013/03/22, I prepare pasta for dinner..\nOn 2013/03/22, I spent 36 talking to Claire, Lydia, Hazel on various topics in the late afternoon..\nOn 2013/03/23, I talked to Olivia, Nora, Nevaeh for 30 minutes late in the evening..\nOn 2013/03/24, I went on a date with Savannah on 2013/03/24 at a park.\nOn 2013/03/24, I spent 33 talking to Nevaeh, Piper, Layla, Olivia on various topics in the early afternoon..\nOn 2013/03/24, I spent 7 minutes on news today..\nOn 2013/03/25, I did swimming on 2013/03/25..\nOn 2013/03/25, I had chinese food for lunch with Carter, Kayden.\nOn 2013/03/25, I spent 42 talking to Olivia on various topics in the early afternoon..\nOn 2013/03/25, I spent 13 minutes watching a movie on TV today..\nOn 2013/03/26, I did HIIT on 2013/03/26..\nOn 2013/03/26, I ate peanut-butter-jam for breakfast..\nOn 2013/03/26, I prepare a burger for lunch..\nOn 2013/03/26, I spent 42 minutes reading social media today..\nOn 2013/03/27, I talked to Claire for 51 minutes during lunch hours..\nOn 2013/03/28, I had indian food for dinner with Jackson, Willow, Avery.\nOn 2013/03/29, I went on a date with Eli on 2013/03/29 at a restaurant.\nOn 2013/03/29, I had dinner with Carter, Kayden, Emily. I ate chinese food..\nOn 2013/03/29, I watched news for 46 minutes on TV today..\nOn 2013/03/30, I did running on 2013/03/30..\nOn 2013/03/30, I talked to Nevaeh, Hazel for 26 minutes late in the evening..\nOn 2013/03/31, I spent 6 talking to Eva, Piper, Claire on various topics in the late afternoon..\nOn 2013/04/01, I spent 51 talking to Layla, Olivia, Kinsley, Piper on various topics in the late afternoon..\nOn 2013/04/02, I went grocery shopping. I bought some watermelons, pineapples, oranges, apple juice, mineral water, pineapple juice, tea, and toilet paper.\nOn 2013/04/02, I spent 49 talking to Nevaeh, Lydia, Eva, Kinsley on various topics late in the evening..\nOn 2013/04/03, I did swimming on 2013/04/03..\nOn 2013/04/03, I spent 54 minutes on social media today..\nOn 2013/04/04, I prepare sushi for dinner..\nOn 2013/04/04, I spent 25 talking to Rylee, Eva, Claire on various topics in the late afternoon..\nOn 2013/04/04, I spent 46 minutes on news today..\nOn 2013/04/05, I prepare indian food for dinner..\nOn 2013/04/06, I ate cereals for breakfast..\nOn 2013/04/07, I had breakfast. I ate peanut-butter-jam..\nOn 2013/04/07, I had dinner with Layla, Piper, Nevaeh. I ate a burger..\nOn 2013/04/08, I bought some blueberries, watermelons, apples, apple juice, chocolate milk, mineral water, toothpaste, conditioner, body lotion from the grocery store. I saw Carter, Andrew, Emily at the grocery store..\nOn 2013/04/08, I had pasta for dinner with Olivia, Layla, Eva, Avery.\nOn 2013/04/09, I did HIIT on 2013/04/09..\nOn 2013/04/09, I talked to Eva, Rylee, Nevaeh for 32 minutes in the morning..\nOn 2013/04/10, I ate peanut-butter-jam for breakfast..\nOn 2013/04/10, I ate pasta for lunch..\nOn 2013/04/11, I talked to Eva, Claire, Layla, Kinsley for 35 minutes in the early afternoon..\nOn 2013/04/12, I did HIIT on 2013/04/12..\nOn 2013/04/12, I had dinner with Piper, Piper, Kinsley, Hazel, Olivia, Lydia, Rylee, Claire. I ate indian food..\nOn 2013/04/12, I watched news for 20 minutes on TV today..\nOn 2013/04/14, I did biking on 2013/04/14..\nOn 2013/04/14, I had tacos for lunch with Jackson, Benjamin, Avery.\nOn 2013/04/14, I had dinner. I ate fish and chips..\nOn 2013/04/15, I had pasta for dinner with Andrew, Kayden, Emily, Carter.\nOn 2013/04/15, I talked to Rylee, Claire for 19 minutes during lunch hours..\nOn 2013/04/17, I talked to Kinsley, Eva, Rylee for 38 minutes in the early afternoon..\nOn 2013/04/18, I did biking on 2013/04/18..\nOn 2013/04/19, I had lunch with Hazel, Claire, Piper, Avery, Eva, Piper, Layla, Olivia, Kinsley, Rylee. I ate indian food..\nOn 2013/04/19, I spent 46 talking to Layla, Kinsley, Eva, Rylee on various topics in the morning..\nOn 2013/04/20, I did HIIT on 2013/04/20..\nOn 2013/04/20, I prepare eggs, sausages, and bread for breakfast..\nOn 2013/04/20, I had lunch with Carter. I ate chinese food..\nOn 2013/04/20, I ate fish and chips for dinner..\nOn 2013/04/20, I spent 13 minutes reading a book today..\nOn 2013/04/20, I watched news for 24 minutes on TV today..\nOn 2013/04/21, I did biking on 2013/04/21..\nOn 2013/04/21, I talked to Claire, Kinsley, Nora for 29 minutes during lunch hours..\nOn 2013/04/21, I spent 49 minutes watching a documentary on TV today..\nOn 2013/04/22, I bought some strawberries, blackberries, raspberries, guava juice, orange juice, apple juice, mango juice, conditioner online..\nOn 2013/04/22, I watched news for 46 minutes on TV today..\nOn 2013/04/23, I prepare cereals for breakfast..\nOn 2013/04/24, I ate eggs, sausages, and bread for breakfast..\nOn 2013/04/25, I did running on 2013/04/25..\nOn 2013/04/25, I talked to Olivia, Eva for 11 minutes in the early evening..\nOn 2013/04/26, I spent some time working out on 2013/04/26..\nOn 2013/04/26, I went grocery shopping with Eva. I bought some nectarines, oranges, soda, orange juice, apple juice, chocolate milk, and mouth wash, shampoo, facial wash.\nOn 2013/04/26, I did running on 2013/04/26..\nOn 2013/04/28, I did HIIT on 2013/04/28..\nOn 2013/04/29, I had chinese food for lunch with Andrew, Kayden, Emily, Carter.\nOn 2013/04/29, I talked to Kinsley, Eva, Piper for 14 minutes in the early afternoon..\nOn 2013/04/30, I spent some time gardening on 2013/04/30..\nOn 2013/04/30, I had pancakes for breakfast with Layla, Lydia, Nora, Kinsley.\nOn 2013/04/30, I spent 6 minutes reading a book today..\nOn 2013/05/01, I prepare indian food for lunch..\nOn 2013/05/01, I talked to Nevaeh, Avery, Eva, Kinsley for 5 minutes during lunch hours..\nOn 2013/05/02, I had breakfast. I ate toast and cheese..\nOn 2013/05/02, I had dinner. I ate indian food..\nOn 2013/05/05, I spent 30 minutes on news today..\nOn 2013/05/05, I spent 37 minutes watching news on TV today..\nOn 2013/05/06, On 2013/05/06, I took Jaxson on a date to a restaurant.\nOn 2013/05/06, I had lunch with Olivia, Piper, Nevaeh, Claire, Rylee, Hazel. I ate pasta..\nOn 2013/05/06, I talked to Piper for 37 minutes in the early afternoon..\nOn 2013/05/07, I had eggs, sausages, and bread for breakfast with Hazel, Rylee, Avery, Layla, Kinsley, Nevaeh, Piper, Nora.\nOn 2013/05/07, I had chinese food for lunch with Jackson, Avery, Benjamin.\nOn 2013/05/07, I had dinner. I ate indian food..\nOn 2013/05/08, On 2013/05/08, I took Liam on a date to a restaurant.\nOn 2013/05/08, I watched a tv series for 21 minutes on TV today..\nOn 2013/05/09, I had tacos for lunch with Carter, Kayden, Andrew.\nOn 2013/05/09, I talked to Avery, Claire for 50 minutes in the early evening..\nOn 2013/05/10, I went on a date with Sadie on 2013/05/10 at a coffee Shop.\nOn 2013/05/10, I spent time gardening on 2013/05/10 with Eva, Avery, Nora..\nOn 2013/05/10, I ate toast and cheese for breakfast..\nOn 2013/05/10, I spent 32 minutes on news today..\nOn 2013/05/11, I had breakfast with Emily. I ate toast and cheese..\nOn 2013/05/11, I talked to Piper, Nora, Layla for 40 minutes late in the evening..\nOn 2013/05/11, I spent 37 minutes on a book today..\nOn 2013/05/12, I had breakfast. I ate pancakes..\nOn 2013/05/12, I talked to Nevaeh for 34 minutes late in the evening..\nOn 2013/05/12, I spent 43 minutes watching news on TV today..\nOn 2013/05/13, I spent 24 talking to Eva on various topics in the early evening..\nOn 2013/05/14, I spent 16 minutes reading a book today..\nOn 2013/05/16, I spent 32 minutes on news today..\nOn 2013/05/17, I ate pasta for lunch..\nOn 2013/05/17, I spent 52 talking to Claire, Hazel, Nevaeh, Rylee on various topics in the early afternoon..\nOn 2013/05/18, I talked to Hazel for 5 minutes in the early afternoon..\nOn 2013/05/20, I had breakfast with Carter, Kayden, Andrew. I ate eggs, sausages, and bread..\nOn 2013/05/21, I did biking on 2013/05/21..\nOn 2013/05/21, I spent 41 minutes on a book today..\nOn 2013/05/22, I had peanut-butter-jam for breakfast with Kayden, Andrew.\nOn 2013/05/22, I watched news for 24 minutes on TV today..\nOn 2013/05/23, I spent 52 talking to Kinsley on various topics in the early evening..\nOn 2013/05/25, I went grocery shopping. I bought some raspberries, cherres, apples, oranges, sports drinks, coffee, apple juice, and toilet paper, mouthwash.\nOn 2013/05/25, I did HIIT on 2013/05/25..\nOn 2013/05/25, I had pancakes for breakfast with Carter, Emily.\nOn 2013/05/25, I had dinner. I ate pasta..\nOn 2013/05/25, I spent 8 talking to Piper on various topics during lunch hours..\nOn 2013/05/26, I watched a tv series for 26 minutes on TV today..\nOn 2013/05/28, I did HIIT on 2013/05/28..\nOn 2013/05/28, I had breakfast. I ate peanut-butter-jam..\nOn 2013/05/29, I had pasta for lunch with Olivia, Nora, Kinsley, Piper, Rylee, Layla, Claire, Hazel, Nevaeh, Piper, Eva, Lydia.\nOn 2013/05/30, I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some pears, watermelons, mineral water, soda, pineapple juice, milk, and conditioner, shampoo, toilet paper.\nOn 2013/05/30, I ate cereals for breakfast..\nOn 2013/05/30, I talked to Avery for 54 minutes in the late afternoon..\nOn 2013/05/31, I spent 47 minutes reading social media today..\nOn 2013/06/01, I spent time learning a language on 2013/06/01 with Carter..\nOn 2013/06/01, I prepare indian food for dinner..\nOn 2013/06/01, I spent 27 minutes watching a movie on TV today..\nOn 2013/06/02, I spent 16 minutes watching a tv series on TV today..\nOn 2013/06/03, I went on a date with Alon on 2013/06/03 at a park.\nOn 2013/06/03, I ate peanut-butter-jam for breakfast..\nOn 2013/06/03, I had lunch with Claire, Piper. I ate a burger..\nOn 2013/06/05, I ate eggs, sausages, and bread for breakfast..\nOn 2013/06/05, I spent 50 talking to Kinsley, Piper, Olivia on various topics in the late afternoon..\nOn 2013/06/05, I spent 31 minutes reading news today..\nOn 2013/06/06, I had dinner with Eva. I ate chinese food..\nOn 2013/06/06, I spent 12 minutes watching a tv series on TV today..\nOn 2013/06/07, On 2013/06/07, I took Bella on a date to a park.\nOn 2013/06/07, I did swimming on 2013/06/07..\nOn 2013/06/07, I talked to Olivia, Eva for 53 minutes in the early evening..\nOn 2013/06/07, I spent 11 minutes on news today..\nOn 2013/06/08, I ate oatmeal for breakfast..\nOn 2013/06/09, I went grocery shopping. I bought some blueberries, pears, chocolate milk, and facial wash, toilet paper.\nOn 2013/06/09, I did swimming on 2013/06/09..\nOn 2013/06/09, I prepare pasta for lunch..\nOn 2013/06/09, I spent 50 talking to Piper, Nora, Lydia, Piper on various topics in the early evening..\nOn 2013/06/09, I spent 35 minutes watching a movie on TV today..\nOn 2013/06/10, I did weight lifting on 2013/06/10..\nOn 2013/06/10, I had breakfast with Andrew, Emily, Kayden, Carter. I ate eggs, sausages, and bread..\nOn 2013/06/10, I had dinner with Andrew, Carter. I ate sandwich..\nOn 2013/06/10, I talked to Claire, Olivia for 26 minutes during lunch hours..\nOn 2013/06/11, I did weight lifting on 2013/06/11..\nOn 2013/06/11, I spent 20 minutes watching news on TV today..\nOn 2013/06/12, I did weight lifting on 2013/06/12..\nOn 2013/06/12, I had breakfast. I ate toast and cheese..\nOn 2013/06/13, I spent 45 minutes reading a book today..\nOn 2013/06/13, I spent 18 minutes watching a movie on TV today..\nOn 2013/06/14, I had dinner. I ate tacos..\nOn 2013/06/14, I spent 14 talking to Kinsley, Eva, Piper, Lydia on various topics during lunch hours..\nOn 2013/06/14, I spent 46 minutes reading a book today..\nOn 2013/06/15, I had breakfast. I ate toast and cheese..\nOn 2013/06/15, I spent 18 minutes on social media today..\nOn 2013/06/16, I prepare eggs, sausages, and bread for breakfast..\nOn 2013/06/16, I ate steak for lunch..\nOn 2013/06/16, I had dinner. I ate sushi..\nOn 2013/06/16, I talked to Lydia, Avery, Rylee for 52 minutes in the early afternoon..\nOn 2013/06/16, I spent 5 minutes on news today..\nOn 2013/06/17, I had lunch. I ate sushi..\nOn 2013/06/17, I spent 32 talking to Layla on various topics in the morning..\nOn 2013/06/17, I spent 32 minutes watching a tv series on TV today..\nOn 2013/06/18, I ate fish and chips for dinner..\nOn 2013/06/18, I spent 52 minutes reading news today..\nOn 2013/06/19, I spent 46 minutes reading social media today..\nOn 2013/06/19, I watched news for 33 minutes on TV today..\nOn 2013/06/20, I did biking on 2013/06/20..\nOn 2013/06/20, I had chinese food for dinner with Emily, Kayden, Carter, Andrew.\nOn 2013/06/20, I spent 7 minutes on news today..\nOn 2013/06/23, I talked to Avery, Piper, Nora for 5 minutes in the early afternoon..\nOn 2013/06/23, I watched news for 25 minutes on TV today..\nOn 2013/06/24, I did weight lifting on 2013/06/24..\nOn 2013/06/24, I had tacos for lunch with Avery, Benjamin.\nOn 2013/06/24, I spent 19 talking to Hazel on various topics in the early afternoon..\nOn 2013/06/25, I spent 13 minutes on news today..\nOn 2013/06/26, I spent 7 talking to Layla, Nora, Kinsley on various topics in the early evening..\nOn 2013/06/26, I spent 43 minutes on social media today..\nOn 2013/06/27, I went for an annual physical checkup on 2013/06/27 at the university hospital..\nOn 2013/06/27, I spent 54 minutes on social media today..\nOn 2013/06/28, On 2013/06/28, I took Lydia on a date to a restaurant.\nOn 2013/06/28, I spent time gardening on 2013/06/28 with Jackson, Willow, Benjamin..\nOn 2013/06/29, I talked to Avery, Rylee, Layla for 17 minutes in the morning..\nOn 2013/06/30, I did running on 2013/06/30..\nOn 2013/06/30, I had dinner. I ate sushi..\nOn 2013/07/01, I did HIIT on 2013/07/01..\nOn 2013/07/01, I had breakfast. I ate toast and cheese..\nOn 2013/07/01, I spent 45 talking to Nora on various topics during lunch hours..\nOn 2013/07/02, On 2013/07/02, I took Jackson on a date to a boba shop.\nOn 2013/07/02, I did swimming on 2013/07/02..\nOn 2013/07/02, I had breakfast with Avery, Olivia, Piper, Rylee. I ate cereals..\nOn 2013/07/02, I ate pasta for lunch..\nOn 2013/07/02, I spent 54 talking to Avery, Lydia, Layla, Rylee on various topics in the morning..\nOn 2013/07/02, I spent 40 minutes reading a book today..\nOn 2013/07/03, I prepare cereals for breakfast..\nOn 2013/07/03, I had dinner with Emily, Kayden. I ate tacos..\nOn 2013/07/03, I spent 15 minutes on social media today..\nOn 2013/07/03, I spent 32 minutes watching a tv series on TV today..\nOn 2013/07/04, I spent 10 talking to Nevaeh, Piper, Rylee on various topics in the morning..\nOn 2013/07/05, I went grocery shopping. I bought some bananas, apples, watermelons, mangos, coffee, mango juice, orange juice, and body lotion, mouthwash, shampoo, toothpaste.\nOn 2013/07/05, I had breakfast. I ate cereals..\nOn 2013/07/05, I spent 32 talking to Piper, Avery, Hazel, Piper on various topics in the early evening..\nOn 2013/07/07, I talked to Piper, Hazel, Piper, Nevaeh for 13 minutes during lunch hours..\nOn 2013/07/07, I watched a tv series for 46 minutes on TV today..\nOn 2013/07/10, I spent some time meditation on 2013/07/10..\nOn 2013/07/10, I talked to Avery, Claire, Piper, Eva for 23 minutes during lunch hours..\nOn 2013/07/10, I spent 22 minutes watching a documentary on TV today..\nOn 2013/07/11, I spent 7 minutes reading news today..\nOn 2013/07/12, I really enjoyed yoga on 2013/07/12.\nOn 2013/07/13, On 2013/07/13, I took Lydia on a date to a park.\nOn 2013/07/13, I spent 27 minutes watching news on TV today..\nOn 2013/07/14, I prepare indian food for lunch..\nOn 2013/07/15, I prepare fish and chips for dinner..\nOn 2013/07/15, I talked to Eva, Rylee, Piper, Piper for 26 minutes late in the evening..\nOn 2013/07/15, I spent 24 minutes watching a tv series on TV today..\nOn 2013/07/16, I spent 49 talking to Avery, Layla, Olivia on various topics in the early afternoon..\nOn 2013/07/17, I took my parents for their for an annual physical checkup on 2013/07/17 at the university hospital..\nOn 2013/07/17, I spent 14 minutes watching a movie on TV today..\nOn 2013/07/18, I spent 14 talking to Layla on various topics late in the evening..\nOn 2013/07/19, I did hiking on 2013/07/19..\nOn 2013/07/19, I ate oatmeal for breakfast..\nOn 2013/07/20, On 2013/07/20, I took Savannah on a date to a restaurant.\nOn 2013/07/20, I spent 8 talking to Eva, Nora, Rylee, Piper on various topics during lunch hours..\nOn 2013/07/24, I did hiking on 2013/07/24..\nOn 2013/07/24, I had lunch. I ate steak..\nOn 2013/07/24, I had dinner. I ate sandwich..\nOn 2013/07/27, I bought some bananas, guava juice, paper towel, shaving cream from the grocery store. I saw Jackson, Benjamin, Avery at the grocery store..\nOn 2013/07/27, I talked to Eva, Lydia, Rylee, Nevaeh for 11 minutes late in the evening..\nOn 2013/07/27, I spent 13 minutes reading social media today..\nOn 2013/07/29, On 2013/07/29, I took Logan on a date to a coffee Shop.\nOn 2013/07/29, I spent 6 talking to Layla, Piper, Nora, Lydia on various topics in the late afternoon..\nOn 2013/07/29, I spent 11 minutes reading a book today..\nOn 2013/07/29, I watched news for 15 minutes on TV today..\nOn 2013/07/31, I did weight lifting on 2013/07/31..\nOn 2013/07/31, I had lunch with Benjamin. I ate a burger..\nOn 2013/07/31, I spent 24 talking to Eva on various topics late in the evening..\nOn 2013/08/01, I did HIIT on 2013/08/01..\nOn 2013/08/01, I had breakfast. I ate peanut-butter-jam..\nOn 2013/08/01, I ate pasta for lunch..\nOn 2013/08/01, I ate steak for dinner..\nOn 2013/08/02, I ate tacos for dinner..\nOn 2013/08/02, I spent 5 talking to Nevaeh, Piper, Kinsley on various topics during lunch hours..\nOn 2013/08/02, I spent 55 minutes on a book today..\nOn 2013/08/03, I really enjoyed yoga on 2013/08/03.\nOn 2013/08/03, I bought some pears, guava, oranges, mineral water, apple juice, conditioner, shampoo, mouth wash, facial wash online..\nOn 2013/08/03, I had dinner. I ate steak..\nOn 2013/08/04, I talked to Eva, Rylee, Piper, Hazel for 54 minutes in the early evening..\nOn 2013/08/05, I prepare chinese food for lunch..\nOn 2013/08/05, I had dinner with Hazel, Piper, Nevaeh. I ate chinese food..\nOn 2013/08/06, I spent 33 minutes on social media today..\nOn 2013/08/07, I prepare fish and chips for lunch..\nOn 2013/08/07, I talked to Nora for 17 minutes in the morning..\nOn 2013/08/08, I did weight lifting on 2013/08/08..\nOn 2013/08/08, I had dinner. I ate sushi..\nOn 2013/08/08, I spent 20 talking to Layla on various topics in the early evening..\nOn 2013/08/08, I spent 19 minutes watching a movie on TV today..\nOn 2013/08/09, I did running on 2013/08/09..\nOn 2013/08/09, I spent 45 minutes on a book today..\nOn 2013/08/10, I went on a date with William on 2013/08/10 at a park.\nOn 2013/08/10, I did HIIT on 2013/08/10..\nOn 2013/08/11, I spent 41 minutes watching news on TV today..\nOn 2013/08/12, I prepare steak for dinner..\nOn 2013/08/13, I watched a tv series for 26 minutes on TV today..\nOn 2013/08/14, I did weight lifting on 2013/08/14..\nOn 2013/08/14, I spent 11 talking to Nora, Rylee, Olivia, Nevaeh on various topics in the early afternoon..\nOn 2013/08/15, I spent 36 talking to Piper on various topics in the early evening..\nOn 2013/08/15, I spent 5 minutes on news today..\nOn 2013/08/16, I ate pancakes for breakfast..\nOn 2013/08/17, I did running on 2013/08/17..\nOn 2013/08/17, I had indian food for dinner with Kayden.\nOn 2013/08/17, I talked to Avery, Piper, Lydia for 39 minutes in the early evening..\nOn 2013/08/18, I bought some strawberries, pineapples, soda, guava juice, toilet paper, conditioner, shaving cream, toothpaste from the grocery store. I saw Lydia, Claire, Piper, Nora, Rylee, Avery at the grocery store..\nOn 2013/08/19, I spent 19 minutes watching a documentary on TV today..\nOn 2013/08/20, I had tacos for dinner with Piper, Claire, Layla, Olivia, Hazel, Rylee, Kinsley, Nora, Lydia, Avery.\nOn 2013/08/21, I did swimming on 2013/08/21..\nOn 2013/08/22, I spent some time meditation on 2013/08/22..\nOn 2013/08/22, I had breakfast with Andrew, Kayden. I ate pancakes..\nOn 2013/08/22, I prepare fish and chips for lunch..\nOn 2013/08/24, I bought some pineapples, coffee, guava juice, soda, mouthwash from the grocery store. I saw Piper, Nevaeh, Claire, Layla, Lydia, Eva, Piper, Rylee at the grocery store..\nOn 2013/08/24, I had dinner. I ate sandwich..\nOn 2013/08/24, I spent 51 talking to Hazel, Nora, Avery on various topics in the morning..\nOn 2013/08/25, I talked to Nevaeh, Rylee for 33 minutes in the morning..\nOn 2013/08/26, I went on a date with Hunter on 2013/08/26 at a restaurant.\nOn 2013/08/26, I spent 53 talking to Rylee, Claire, Nevaeh, Layla on various topics in the early afternoon..\nOn 2013/08/27, I spent 5 talking to Piper, Layla, Olivia on various topics in the late afternoon..\nOn 2013/08/28, I talked to Avery for 6 minutes late in the evening..\nOn 2013/08/28, I spent 26 minutes on a book today..\nOn 2013/08/29, I spent 32 talking to Piper, Nevaeh, Olivia, Layla on various topics late in the evening..\nOn 2013/08/30, I did running on 2013/08/30..\nOn 2013/08/30, I ate pasta for lunch..\nOn 2013/08/30, I spent 48 talking to Claire, Nora, Layla on various topics in the late afternoon..\nOn 2013/08/30, I spent 43 minutes reading a book today..\nOn 2013/08/30, I spent 29 minutes watching news on TV today..\nOn 2013/08/31, I spent 17 talking to Olivia on various topics late in the evening..\nOn 2013/09/01, I bought some oranges, mandarins, soda, mineral water, milk, mouth wash, toothpaste, facial wash, body lotion from the grocery store. I saw Andrew, Emily at the grocery store..\nOn 2013/09/01, I had breakfast with Kinsley, Nora, Rylee, Layla, Hazel, Olivia, Eva, Avery, Nevaeh, Claire, Lydia. I ate toast and cheese..\nOn 2013/09/01, I spent 39 talking to Claire on various topics in the early afternoon..\nOn 2013/09/03, I had dinner. I ate indian food..\nOn 2013/09/03, I talked to Lydia, Hazel for 32 minutes in the morning..\nOn 2013/09/04, I talked to Lydia for 53 minutes late in the evening..\nOn 2013/09/06, I talked to Hazel, Lydia for 47 minutes in the late afternoon..\nOn 2013/09/07, I went on a date with Christian on 2013/09/07 at a coffee Shop.\nOn 2013/09/08, I bought some blueberries, milk, guava juice, chocolate milk, toothpaste online..\nOn 2013/09/09, I prepare indian food for dinner..\nOn 2013/09/10, I ate fish and chips for dinner..\nOn 2013/09/10, I spent 34 minutes reading news today..\nOn 2013/09/11, I ate eggs, sausages, and bread for breakfast..\nOn 2013/09/11, I spent 36 minutes reading social media today..\nOn 2013/09/12, I prepare pasta for lunch..\nOn 2013/09/12, I spent 25 talking to Nora, Piper, Avery, Eva on various topics in the early evening..\nOn 2013/09/13, I prepare pancakes for breakfast..\nOn 2013/09/13, I had dinner. I ate tacos..\nOn 2013/09/13, I talked to Piper, Nevaeh, Piper, Hazel for 32 minutes during lunch hours..\nOn 2013/09/14, I had breakfast. I ate peanut-butter-jam..\nOn 2013/09/14, I spent 8 minutes watching news on TV today..\nOn 2013/09/15, I did biking on 2013/09/15..\nOn 2013/09/15, I had dinner with Carter, Andrew, Kayden, Emily. I ate steak..\nOn 2013/09/15, I spent 45 minutes watching news on TV today..\nOn 2013/09/17, I did running on 2013/09/17..\nOn 2013/09/17, I spent 8 minutes reading a book today..\nOn 2013/09/19, I ate toast and cheese for breakfast..\nOn 2013/09/19, I spent 12 minutes reading social media today..\nOn 2013/09/20, I prepare chinese food for dinner..\nOn 2013/09/20, I talked to Rylee, Hazel, Nora for 54 minutes in the late afternoon..\nOn 2013/09/21, I had sushi for lunch with Avery.\nOn 2013/09/22, I had lunch with Emily. I ate sandwich..\nOn 2013/09/22, I spent 28 talking to Eva, Olivia on various topics during lunch hours..\nOn 2013/09/22, I spent 43 minutes reading news today..\nOn 2013/09/23, I spent 17 talking to Nora, Claire, Piper, Avery on various topics in the early evening..\nOn 2013/09/24, I prepare pasta for dinner..\nOn 2013/09/24, I spent 5 talking to Rylee on various topics in the morning..\nOn 2013/09/24, I spent 23 minutes watching news on TV today..\nOn 2013/09/25, I had breakfast with Emily, Kayden, Andrew. I ate peanut-butter-jam..\nOn 2013/09/25, I had dinner. I ate fish and chips..\nOn 2013/09/26, I did weight lifting on 2013/09/26..\nOn 2013/09/26, I spent 37 talking to Layla, Hazel, Rylee, Avery on various topics in the late afternoon..\nOn 2013/09/27, I had lunch with Carter, Emily. I ate pasta..\nOn 2013/09/27, I spent 53 talking to Nora, Lydia on various topics late in the evening..\nOn 2013/09/27, I spent 54 minutes reading social media today..\nOn 2013/09/27, I spent 53 minutes watching news on TV today..\nOn 2013/09/28, I spent 55 talking to Piper, Eva, Layla, Piper on various topics in the late afternoon..\nOn 2013/09/29, I did swimming on 2013/09/29..\nOn 2013/09/29, I had pancakes for breakfast with Eva, Nevaeh, Olivia, Hazel, Piper, Kinsley, Nora, Avery, Claire, Lydia, Piper, Rylee.\nOn 2013/09/29, I spent 43 talking to Piper, Nevaeh, Layla on various topics in the early evening..\nOn 2013/09/30, I did running on 2013/09/30..\nOn 2013/09/30, I spent 33 minutes watching a movie on TV today..\nOn 2013/10/01, I had lunch with Lydia, Rylee, Hazel, Piper, Piper, Nora, Claire, Eva, Layla, Avery, Nevaeh, Olivia, Kinsley. I ate a burger..\nOn 2013/10/01, I spent 8 minutes reading news today..\nOn 2013/10/01, I watched a tv series for 47 minutes on TV today..\nOn 2013/10/02, I had lunch. I ate sushi..\nOn 2013/10/03, I did swimming on 2013/10/03..\nOn 2013/10/03, I ate pasta for lunch..\nOn 2013/10/03, I talked to Claire for 24 minutes in the early afternoon..\nOn 2013/10/04, I spent some time gardening on 2013/10/04..\nOn 2013/10/04, I did swimming on 2013/10/04..\nOn 2013/10/04, I spent 26 minutes reading news today..\nOn 2013/10/06, I ate a burger for dinner..\nOn 2013/10/06, I spent 26 minutes watching a movie on TV today..\nOn 2013/10/07, I bought some strawberries, mango juice, facial wash from the grocery store. I saw Jackson, Avery, Willow at the grocery store..\nOn 2013/10/08, I prepare pasta for lunch..\nOn 2013/10/08, I talked to Hazel for 41 minutes in the late afternoon..\nOn 2013/10/09, I had dinner. I ate pasta..\nOn 2013/10/11, I talked to Olivia, Rylee, Nevaeh for 20 minutes in the late afternoon..\nOn 2013/10/12, I had oatmeal for breakfast with Layla, Nora, Rylee, Piper, Kinsley, Eva, Lydia, Avery, Hazel, Olivia.\nOn 2013/10/12, I talked to Olivia for 5 minutes late in the evening..\nOn 2013/10/13, I did running on 2013/10/13..\nOn 2013/10/13, I prepare indian food for dinner..\nOn 2013/10/14, I ate indian food for dinner..\nOn 2013/10/14, I spent 37 minutes reading social media today..\nOn 2013/10/15, I spent 34 minutes watching a tv series on TV today..\nOn 2013/10/16, I prepare peanut-butter-jam for breakfast..\nOn 2013/10/16, I spent 19 talking to Piper, Rylee, Claire, Piper on various topics in the early afternoon..\nOn 2013/10/16, I watched a movie for 43 minutes on TV today..\nOn 2013/10/17, I did biking on 2013/10/17..\nOn 2013/10/17, I had dinner. I ate pasta..\nOn 2013/10/17, I spent 41 talking to Lydia, Hazel, Kinsley on various topics in the early afternoon..\nOn 2013/10/17, I watched a movie for 37 minutes on TV today..\nOn 2013/10/18, I watched a movie for 15 minutes on TV today..\nOn 2013/10/19, I talked to Avery, Piper, Hazel, Rylee for 10 minutes in the early evening..\nOn 2013/10/20, I prepare eggs, sausages, and bread for breakfast..\nOn 2013/10/20, I watched a tv series for 50 minutes on TV today..\nOn 2013/10/22, I did swimming on 2013/10/22..\nOn 2013/10/22, I had sushi for dinner with Eva.\nOn 2013/10/23, I spent 40 minutes reading social media today..\nOn 2013/10/23, I spent 22 minutes watching a tv series on TV today..\nOn 2013/10/25, I bought some apricots, watermelons, clementines, soda, mouth wash, mouthwash, body lotion, toothbrush from the grocery store. I saw Piper, Layla, Kinsley, Eva, Nevaeh, Piper, Lydia, Nora, Olivia at the grocery store..\nOn 2013/10/25, I had lunch. I ate steak..\nOn 2013/10/25, I talked to Rylee for 36 minutes in the early afternoon..\nOn 2013/10/25, I watched a tv series for 31 minutes on TV today..\nOn 2013/10/26, I did running on 2013/10/26..\nOn 2013/10/27, I ate indian food for lunch..\nOn 2013/10/27, I spent 31 minutes reading social media today..\nOn 2013/10/27, I watched news for 54 minutes on TV today..\nOn 2013/10/28, On 2013/10/28, I took Josephine on a date to a park.\nOn 2013/10/28, I really enjoyed yoga on 2013/10/28.\nOn 2013/10/28, I did running on 2013/10/28..\nOn 2013/10/29, I ate fish and chips for lunch..\nOn 2013/10/30, I had breakfast. I ate eggs, sausages, and bread..\nOn 2013/10/30, I watched news for 16 minutes on TV today..\nOn 2013/10/31, I spent 5 minutes watching a movie on TV today..\nOn 2013/11/01, I prepare pasta for lunch..\nOn 2013/11/02, I did hiking on 2013/11/02..\nOn 2013/11/02, I prepare peanut-butter-jam for breakfast..\nOn 2013/11/03, I prepare sushi for lunch..\nOn 2013/11/05, I prepare chinese food for dinner..\nOn 2013/11/06, I did hiking on 2013/11/06..\nOn 2013/11/06, I had breakfast. I ate pancakes..\nOn 2013/11/06, I ate steak for lunch..\nOn 2013/11/06, I had steak for dinner with Emily.\nOn 2013/11/06, I spent 50 minutes reading social media today..\nOn 2013/11/08, I went on a date with Jonathan on 2013/11/08 at a restaurant.\nOn 2013/11/08, I did biking on 2013/11/08..\nOn 2013/11/10, I did HIIT on 2013/11/10..\nOn 2013/11/10, I spent 28 talking to Lydia, Claire, Rylee, Hazel on various topics in the late afternoon..\nOn 2013/11/14, I spent 54 minutes watching a documentary on TV today..\nOn 2013/11/15, I prepare tacos for dinner..\nOn 2013/11/15, I spent 19 talking to Avery on various topics in the late afternoon..\nOn 2013/11/15, I spent 45 minutes on social media today..\nOn 2013/11/16, I talked to Eva for 44 minutes in the early evening..\nOn 2013/11/17, I had fish and chips for dinner with Willow, Jackson, Benjamin.\nOn 2013/11/17, I talked to Layla, Nora for 42 minutes in the morning..\nOn 2013/11/17, I spent 51 minutes on social media today..\nOn 2013/11/18, I spent 12 talking to Eva, Kinsley, Layla, Piper on various topics in the early evening..\nOn 2013/11/19, I spent 53 minutes on a book today..\nOn 2013/11/20, I went for an annual dental cleaning and checkup on 2013/11/20 at the hospital..\nOn 2013/11/21, I prepare steak for lunch..\nOn 2013/11/22, I watched a tv series for 54 minutes on TV today..\nOn 2013/11/23, I had lunch with Kayden. I ate tacos..\nOn 2013/11/23, I prepare fish and chips for dinner..\nOn 2013/11/24, I watched a movie for 23 minutes on TV today..\nOn 2013/11/25, I watched a documentary for 49 minutes on TV today..\nOn 2013/11/27, I did hiking on 2013/11/27..\nOn 2013/11/27, I spent 22 talking to Claire on various topics in the morning..\nOn 2013/11/27, I spent 16 minutes on news today..\nOn 2013/11/27, I watched a tv series for 39 minutes on TV today..\nOn 2013/11/28, I talked to Rylee, Hazel, Piper for 47 minutes in the early afternoon..\nOn 2013/11/28, I spent 20 minutes reading a book today..\nOn 2013/11/28, I watched a tv series for 23 minutes on TV today..\nOn 2013/11/30, I had lunch. I ate steak..\nOn 2013/11/30, I spent 19 talking to Lydia, Claire on various topics in the early evening..\nOn 2013/12/01, I spent 7 talking to Eva on various topics in the early evening..\nOn 2013/12/01, I spent 10 minutes watching a tv series on TV today..\nOn 2013/12/02, On 2013/12/02, I took Kinsley on a date to a coffee Shop.\nOn 2013/12/03, I had dinner. I ate sushi..\nOn 2013/12/05, I had dinner. I ate indian food..\nOn 2013/12/05, I spent 13 minutes reading news today..\nOn 2013/12/06, I spent 15 minutes on news today..\nOn 2013/12/07, I went grocery shopping with Carter, Emily, Andrew. I bought some pears, pineapple juice, tea, and conditioner, toilet paper, shampoo, body lotion.\nOn 2013/12/07, I prepare steak for lunch..\nOn 2013/12/07, I spent 10 talking to Layla, Olivia on various topics during lunch hours..\nOn 2013/12/08, I ate oatmeal for breakfast..\nOn 2013/12/09, I did biking on 2013/12/09..\nOn 2013/12/09, I ate sandwich for lunch..\nOn 2013/12/10, I had breakfast. I ate toast and cheese..\nOn 2013/12/10, I ate indian food for dinner..\nOn 2013/12/10, I spent 8 minutes watching a movie on TV today..\nOn 2013/12/11, I spent 47 talking to Eva on various topics during lunch hours..\nOn 2013/12/11, I spent 7 minutes watching a tv series on TV today..\nOn 2013/12/12, On 2013/12/12, I took Mateo on a date to a coffee Shop.\nOn 2013/12/12, I did HIIT on 2013/12/12..\nOn 2013/12/12, I watched a documentary for 46 minutes on TV today..\nOn 2013/12/13, I went grocery shopping. I bought some mangos, orange juice, and mouthwash, shaving cream.\nOn 2013/12/14, I talked to Layla, Avery, Piper for 31 minutes in the morning..\nOn 2013/12/15, I spent time learning a language on 2013/12/15 with Piper, Layla..\nOn 2013/12/15, I prepare indian food for lunch..\nOn 2013/12/15, I talked to Hazel for 29 minutes during lunch hours..\nOn 2013/12/15, I spent 50 minutes reading news today..\nOn 2013/12/17, I spent 7 minutes on a book today..\nOn 2013/12/18, I bought some oranges, guava, clementines, pineapples, orange juice, toothbrush, shaving cream, facial wash, toothpaste from the grocery store. I saw Piper, Avery, Piper, Layla, Kinsley, Olivia, Eva, Lydia, Nevaeh at the grocery store..\nOn 2013/12/19, I prepare eggs, sausages, and bread for breakfast..\nOn 2013/12/19, I had lunch. I ate sushi..\nOn 2013/12/20, I really enjoyed gardening on 2013/12/20.\nOn 2013/12/21, I did HIIT on 2013/12/21..\nOn 2013/12/21, I spent 16 minutes reading social media today..\nOn 2013/12/21, I spent 39 minutes watching news on TV today..\nOn 2013/12/22, I had lunch with Avery, Willow, Benjamin. I ate tacos..\nOn 2013/12/22, I watched a movie for 6 minutes on TV today..\nOn 2013/12/23, I went on a date with Delilah on 2013/12/23 at a restaurant.\nOn 2013/12/23, I had breakfast with Carter, Andrew, Kayden, Emily. I ate toast and cheese..\nOn 2013/12/23, I ate pasta for dinner..\nOn 2013/12/23, I spent 44 minutes reading social media today..\nOn 2013/12/27, I had dinner. I ate fish and chips..\nOn 2013/12/27, I talked to Layla for 52 minutes in the late afternoon..\nOn 2013/12/28, I did swimming on 2013/12/28..\nOn 2013/12/29, I bought some peaches, sports drinks, apple juice, paper towel, conditioner, mouthwash, shaving cream from the grocery store. I saw Carter, Emily at the grocery store..\nOn 2013/12/30, I did HIIT on 2013/12/30..\nOn 2013/12/30, I had lunch. I ate sandwich..\nOn 2013/12/30, I spent 55 minutes reading social media today..\nOn 2014/01/01, I did biking on 2014/01/01..\nOn 2014/01/01, I had lunch with Carter, Kayden, Andrew. I ate chinese food..\nOn 2014/01/01, I had dinner. I ate pasta..\nOn 2014/01/02, I went on a date with William on 2014/01/02 at a restaurant.\nOn 2014/01/02, I prepare eggs, sausages, and bread for breakfast..\nOn 2014/01/02, I ate chinese food for lunch..\nOn 2014/01/03, I really enjoyed yoga on 2014/01/03.\nOn 2014/01/03, I ate steak for lunch..\nOn 2014/01/03, I ate pasta for dinner..\nOn 2014/01/03, I spent 19 minutes on social media today..\nOn 2014/01/04, I spent 14 talking to Piper, Piper, Nevaeh on various topics in the morning..\nOn 2014/01/04, I spent 37 minutes on social media today..\nOn 2014/01/05, I spent 25 talking to Kinsley, Claire on various topics in the early afternoon..\nOn 2014/01/05, I spent 55 minutes reading a book today..\nOn 2014/01/06, I spent 6 talking to Piper on various topics in the early evening..\nOn 2014/01/06, I spent 26 minutes reading social media today..\nOn 2014/01/07, I ate toast and cheese for breakfast..\nOn 2014/01/07, I talked to Piper for 6 minutes in the early afternoon..\nOn 2014/01/07, I watched news for 10 minutes on TV today..\nOn 2014/01/09, I did weight lifting on 2014/01/09..\nOn 2014/01/09, I had sandwich for lunch with Emily, Kayden, Andrew, Carter.\nOn 2014/01/09, I talked to Piper, Lydia, Olivia for 26 minutes in the morning..\nOn 2014/01/11, I spent 7 minutes on social media today..\nOn 2014/01/12, I spent 55 talking to Kinsley, Olivia, Lydia on various topics in the late afternoon..\nOn 2014/01/13, I had lunch with Andrew, Emily, Carter. I ate sushi..\nOn 2014/01/14, On 2014/01/14, I took Mason on a date to a restaurant.\nOn 2014/01/14, I did weight lifting on 2014/01/14..\nOn 2014/01/14, I talked to Rylee for 38 minutes in the morning..\nOn 2014/01/15, I had dinner with Carter, Emily. I ate indian food..\nOn 2014/01/15, I spent 23 minutes on a book today..\nOn 2014/01/16, I did weight lifting on 2014/01/16..\nOn 2014/01/16, I had dinner. I ate fish and chips..\nOn 2014/01/17, I talked to Avery, Olivia, Layla for 11 minutes in the morning..\nOn 2014/01/18, I had steak for dinner with Andrew, Emily, Carter.\nOn 2014/01/18, I spent 25 minutes reading social media today..\nOn 2014/01/19, I had sushi for lunch with Andrew, Emily, Carter.\nOn 2014/01/19, I had dinner with Olivia, Lydia, Avery, Piper, Piper, Nora, Eva, Layla, Rylee, Kinsley, Hazel, Nevaeh. I ate indian food..\nOn 2014/01/20, I went for an annual vision checkup on 2014/01/20 at the university hospital..\nOn 2014/01/20, I spent 34 talking to Piper, Piper, Nora on various topics late in the evening..\nOn 2014/01/21, I had sushi for dinner with Layla, Lydia, Eva, Olivia, Avery, Piper.\nOn 2014/01/22, I spent 19 talking to Olivia, Avery, Piper, Layla on various topics in the early evening..\nOn 2014/01/23, On 2014/01/23 Emily, Carter, Andrew and I went to Sydney, Australia together for 6 days .\nOn 2014/01/23, I had lunch with Andrew. I ate fish and chips..\nOn 2014/01/23, I spent 43 talking to Avery, Rylee, Kinsley, Piper on various topics late in the evening..\nOn 2014/01/24, During my trip to Sydney, Australia, I visited Sydney Opera House on 2014/01 with Emily, Carter, Andrew..\nOn 2014/01/24, I ate Chinese food at Thievery Chicken & Charcoal with Emily, Carter, Andrew on  2014/01/24 when I was in Sydney, Australia..\nOn 2014/01/24, I spent 28 minutes reading social media today..\nOn 2014/01/25, During my trip to Sydney, Australia, I visited Bondi Beach on 2014/01 with Emily, Carter, Andrew..\nOn 2014/01/25, I ate Chinese food at Bombay Street Kitchen with Emily, Carter, Andrew on  2014/01/25 when I was in Sydney, Australia..\nOn 2014/01/25, I had oatmeal for breakfast with Claire, Nora, Piper, Eva, Rylee, Piper, Lydia, Olivia, Hazel, Kinsley, Avery, Layla.\nOn 2014/01/26, During my trip to Sydney, Australia, I visited Sydney Harbour Bridge on 2014/01 with Emily, Carter, Andrew..\nOn 2014/01/26, I ate Italian food at Love Crepe with Emily, Carter, Andrew on  2014/01/26 when I was in Sydney, Australia..\nOn 2014/01/26, I spent 42 talking to Lydia on various topics during lunch hours..\nOn 2014/01/27, I ate Chinese food at Thievery Chicken & Charcoal with Emily, Carter, Andrew on  2014/01/27 when I was in Sydney, Australia..\nOn 2014/01/28, I ate Japanese food at Bombay Street Kitchen with Emily, Carter, Andrew on  2014/01/28 when I was in Sydney, Australia..\nOn 2014/01/28, I bought some raspberries, mandarins, pineapples, clementines, guava juice, soda, body lotion from the grocery store. I saw Carter at the grocery store..\nOn 2014/01/29, I ate a burger for lunch..\nOn 2014/01/29, I had dinner with Jackson, Avery. I ate sandwich..\nOn 2014/01/29, I spent 55 minutes on social media today..\nOn 2014/02/01, I did biking on 2014/02/01..\nOn 2014/02/01, I talked to Avery, Layla, Olivia for 11 minutes in the early evening..\nOn 2014/02/02, I entertained Andrew, Kayden, Carter, Emily at my place on 2014/02/02 and bake easy chocolate marshmallow cups, chocolate-chip mug brownie, birthday cupcakes with white wine buttercream.\nOn 2014/02/03, On 2014/02/03, I took Leilani on a date to a boba shop.\nOn 2014/02/03, I had tacos for lunch with Kinsley, Eva, Piper, Olivia, Claire, Lydia.\nOn 2014/02/03, I spent 45 talking to Olivia, Piper on various topics in the late afternoon..\nOn 2014/02/03, I spent 32 minutes reading social media today..\nOn 2014/02/03, I watched a documentary for 10 minutes on TV today..\nOn 2014/02/04, I had pancakes for breakfast with Benjamin, Avery, Jackson, Willow.\nOn 2014/02/04, I spent 35 talking to Piper on various topics in the late afternoon..\nOn 2014/02/05, I entertained Willow at my place on 2014/02/05 and bake brownies, chocolate chip cookie in a mug, cinnamon sheet cake with cider frosting.\nOn 2014/02/06, I had eggs, sausages, and bread for breakfast with Willow.\nOn 2014/02/06, I had fish and chips for dinner with Nevaeh, Kinsley, Piper, Hazel, Eva, Lydia, Claire, Piper, Avery, Layla, Rylee, Nora.\nOn 2014/02/07, I talked to Eva for 31 minutes late in the evening..\nOn 2014/02/07, I spent 23 minutes reading social media today..\nOn 2014/02/08, I talked to Avery for 21 minutes in the late afternoon..\nOn 2014/02/08, I spent 18 minutes watching a documentary on TV today..\nOn 2014/02/09, I did biking on 2014/02/09..\nOn 2014/02/09, I had dinner. I ate sushi..\nOn 2014/02/09, I talked to Nevaeh, Piper for 17 minutes in the early afternoon..\nOn 2014/02/10, I spent 30 minutes watching news on TV today..\nOn 2014/02/12, I had dinner with Eva, Piper, Nora, Layla, Nevaeh, Rylee, Lydia, Hazel. I ate fish and chips..\nOn 2014/02/13, I went on a date with Abigail on 2014/02/13 at a boba shop.\nOn 2014/02/13, I spent 40 talking to Hazel, Claire, Olivia, Layla on various topics late in the evening..\nOn 2014/02/14, I had pancakes for breakfast with Piper.\nOn 2014/02/14, I spent 44 minutes watching news on TV today..\nOn 2014/02/15, I spent some time gardening on 2014/02/15..\nOn 2014/02/15, I ate fish and chips for lunch..\nOn 2014/02/16, I spent 10 talking to Lydia, Claire on various topics late in the evening..\nOn 2014/02/16, I spent 18 minutes on social media today..\nOn 2014/02/16, I spent 37 minutes watching a documentary on TV today..\nOn 2014/02/18, I prepare eggs, sausages, and bread for breakfast..\nOn 2014/02/18, I ate sushi for lunch..\nOn 2014/02/18, I talked to Rylee, Lydia, Eva, Avery for 45 minutes in the morning..\nOn 2014/02/20, I ate oatmeal for breakfast..\nOn 2014/02/20, I spent 48 minutes reading social media today..\nOn 2014/02/21, I really enjoyed baking fig tarte tatin on 2014/02/21 with Piper at my place.\nOn 2014/02/21, I had cereals for breakfast with Carter.\nOn 2014/02/22, I went grocery shopping. I bought some watermelons, mango juice, and shampoo.\nOn 2014/02/24, I had lunch. I ate indian food..\nOn 2014/02/25, I went on a date with Wyatt on 2014/02/25 at a boba shop.\nOn 2014/02/25, I had eggs, sausages, and bread for breakfast with Kayden, Andrew, Carter.\nOn 2014/02/25, I had dinner with Kayden, Carter, Andrew, Emily. I ate fish and chips..\nOn 2014/02/25, I spent 15 talking to Olivia, Claire, Kinsley on various topics late in the evening..\nOn 2014/02/26, I talked to Avery, Olivia, Lydia for 5 minutes in the early evening..\nOn 2014/02/26, I spent 53 minutes reading news today..\nOn 2014/02/27, I had sushi for dinner with Rylee, Kinsley, Piper, Lydia, Piper, Layla, Nevaeh, Claire, Hazel, Olivia, Nora, Eva, Avery.\nOn 2014/02/27, I spent 17 talking to Hazel, Rylee on various topics in the early afternoon..\nOn 2014/02/28, I spent 36 minutes watching a movie on TV today..\nOn 2014/03/01, I spent some time meditation on 2014/03/01..\nOn 2014/03/01, I did running on 2014/03/01..\nOn 2014/03/01, I talked to Eva, Kinsley, Piper for 13 minutes in the morning..\nOn 2014/03/02, I talked to Nevaeh, Kinsley for 9 minutes in the morning..\nOn 2014/03/04, I talked to Olivia, Nevaeh, Lydia, Rylee for 41 minutes late in the evening..\nOn 2014/03/05, I had oatmeal for breakfast with Emily, Carter.\nOn 2014/03/06, I prepare fish and chips for lunch..\nOn 2014/03/06, I spent 17 minutes watching news on TV today..\nOn 2014/03/07, I had lunch. I ate fish and chips..\nOn 2014/03/08, I went grocery shopping. I bought some apricots, mangos, pineapples, bananas, guava juice, chocolate milk, tea, coffee, and shampoo, toothpaste.\nOn 2014/03/09, I prepare oatmeal for breakfast..\nOn 2014/03/09, I spent 49 talking to Piper, Nevaeh on various topics in the early afternoon..\nOn 2014/03/10, I spent 23 minutes on news today..\nOn 2014/03/11, I spent 26 talking to Hazel, Avery, Nevaeh, Olivia on various topics in the early evening..\nOn 2014/03/11, I watched news for 42 minutes on TV today..\nOn 2014/03/12, I talked to Kinsley, Olivia, Nora, Hazel for 31 minutes during lunch hours..\nOn 2014/03/12, I spent 20 minutes on social media today..\nOn 2014/03/14, I had breakfast. I ate toast and cheese..\nOn 2014/03/14, I ate pasta for dinner..\nOn 2014/03/14, I spent 28 minutes on a book today..\nOn 2014/03/15, I prepare sandwich for lunch..\nOn 2014/03/15, I spent 53 talking to Hazel, Nevaeh on various topics during lunch hours..\nOn 2014/03/15, I watched a documentary for 15 minutes on TV today..\nOn 2014/03/16, I did weight lifting on 2014/03/16..\nOn 2014/03/16, I had sandwich for dinner with Emily, Kayden.\nOn 2014/03/16, I spent 45 talking to Hazel on various topics in the early afternoon..\nOn 2014/03/17, I spent some time meditation on 2014/03/17..\nOn 2014/03/17, I talked to Piper for 48 minutes in the early afternoon..\nOn 2014/03/17, I spent 46 minutes reading social media today..\nOn 2014/03/18, I had lunch. I ate pasta..\nOn 2014/03/18, I spent 8 minutes on news today..\nOn 2014/03/19, I talked to Nevaeh, Hazel, Rylee, Claire for 49 minutes in the early evening..\nOn 2014/03/20, I had breakfast. I ate eggs, sausages, and bread..\nOn 2014/03/20, I talked to Hazel, Lydia for 53 minutes in the late afternoon..\nOn 2014/03/21, I had chinese food for lunch with Andrew, Carter, Emily, Kayden.\nOn 2014/03/21, I had dinner with Andrew, Emily. I ate tacos..\nOn 2014/03/21, I spent 16 minutes reading news today..\nOn 2014/03/21, I watched news for 16 minutes on TV today..\nOn 2014/03/22, On 2014/03/22, I took Mike on a date to a boba shop.\nOn 2014/03/22, I prepare toast and cheese for breakfast..\nOn 2014/03/22, I talked to Layla, Nora, Hazel, Rylee for 32 minutes in the early evening..\nOn 2014/03/24, I did biking on 2014/03/24..\nOn 2014/03/24, I had toast and cheese for breakfast with Piper, Nevaeh, Layla, Nora, Eva, Claire, Avery, Olivia.\nOn 2014/03/24, I spent 37 minutes watching a tv series on TV today..\nOn 2014/03/25, I bought some pineapples, milk, chocolate milk, mineral water, shaving cream, toothbrush from the grocery store. I saw Piper, Rylee, Kinsley, Layla, Olivia, Claire at the grocery store..\nOn 2014/03/25, I did weight lifting on 2014/03/25..\nOn 2014/03/25, I had steak for lunch with Emily, Carter.\nOn 2014/03/26, I had dinner. I ate indian food..\nOn 2014/03/26, I spent 45 talking to Layla, Lydia on various topics in the late afternoon..\nOn 2014/03/26, I spent 17 minutes reading news today..\nOn 2014/03/27, On 2014/03/27, I took Ian on a date to a coffee Shop.\nOn 2014/03/27, I spent 39 minutes watching news on TV today..\nOn 2014/03/28, I did swimming on 2014/03/28..\nOn 2014/03/28, I had breakfast. I ate peanut-butter-jam..\nOn 2014/03/28, I talked to Avery, Layla for 15 minutes late in the evening..\nOn 2014/03/28, I watched a tv series for 44 minutes on TV today..\nOn 2014/03/30, I did HIIT on 2014/03/30..\nOn 2014/03/30, I had breakfast with Kayden, Andrew, Emily. I ate eggs, sausages, and bread..\nOn 2014/03/30, I spent 24 talking to Olivia, Rylee on various topics late in the evening..\nOn 2014/03/30, I watched news for 28 minutes on TV today..\nOn 2014/03/31, I spent time learning a language on 2014/03/31 with Piper, Olivia, Nevaeh..\nOn 2014/03/31, I had breakfast. I ate toast and cheese..\nOn 2014/03/31, I spent 17 talking to Eva, Layla, Nevaeh on various topics in the late afternoon..\nOn 2014/03/31, I spent 24 minutes watching a movie on TV today..\nOn 2014/04/01, I bought some strawberries, mangos, milk, conditioner, mouthwash from the grocery store. I saw Nora at the grocery store..\nOn 2014/04/01, I ate fish and chips for dinner..\nOn 2014/04/02, I had toast and cheese for breakfast with Emily, Kayden.\nOn 2014/04/02, I had lunch with Carter, Andrew, Kayden, Emily. I ate sandwich..\nOn 2014/04/02, I spent 36 minutes watching a documentary on TV today..\nOn 2014/04/03, I was baking dessert nachos, gluten-free apple rose tart on 2014/04/03 with Jackson, Benjamin, Avery at my place.\nOn 2014/04/03, I did weight lifting on 2014/04/03..\nOn 2014/04/04, I went grocery shopping with Willow, Jackson. I bought some pears, oranges, guava juice, chocolate milk, and mouthwash, shampoo.\nOn 2014/04/04, I had lunch. I ate indian food..\nOn 2014/04/05, I entertained Andrew at my place on 2014/04/05 and cook chinese broccoli with oyster sauce, crockpot spareribs.\nOn 2014/04/05, I did HIIT on 2014/04/05..\nOn 2014/04/05, I had breakfast with Kinsley, Nora. I ate cereals..\nOn 2014/04/06, I prepare tacos for lunch..\nOn 2014/04/06, I ate pasta for dinner..\nOn 2014/04/06, I talked to Piper, Hazel for 19 minutes in the morning..\nOn 2014/04/07, I bought some watermelons, apricots, pears, mandarins, soda, chocolate milk, mouthwash, conditioner from the grocery store. I saw Benjamin, Jackson, Willow, Avery at the grocery store..\nOn 2014/04/07, I talked to Avery, Rylee, Kinsley for 5 minutes in the early afternoon..\nOn 2014/04/07, I spent 9 minutes reading a book today..\nOn 2014/04/07, I spent 30 minutes watching news on TV today..\nOn 2014/04/08, I spent 16 minutes on a book today..\nOn 2014/04/08, I watched news for 8 minutes on TV today..\nOn 2014/04/09, I spent 29 minutes reading social media today..\nOn 2014/04/10, I had dinner. I ate tacos..\nOn 2014/04/10, I spent 19 talking to Hazel on various topics in the early evening..\nOn 2014/04/11, I had lunch. I ate chinese food..\nOn 2014/04/11, I talked to Eva, Claire for 40 minutes in the early evening..\nOn 2014/04/12, I talked to Lydia, Piper for 54 minutes in the early afternoon..\nOn 2014/04/12, I spent 44 minutes watching news on TV today..\nOn 2014/04/13, I did swimming on 2014/04/13..\nOn 2014/04/13, I spent 19 minutes watching a movie on TV today..\nOn 2014/04/14, I went grocery shopping. I bought some guava, mandarins, pineapples, apples, sports drinks, pineapple juice, and mouthwash, shampoo, facial wash.\nOn 2014/04/14, I had sandwich for dinner with Carter.\nOn 2014/04/14, I spent 15 minutes reading news today..\nOn 2014/04/15, I spent 35 minutes reading social media today..\nOn 2014/04/16, I watched a tv series for 51 minutes on TV today..\nOn 2014/04/17, I did HIIT on 2014/04/17..\nOn 2014/04/17, I ate chinese food for dinner..\nOn 2014/04/18, I ate fish and chips for dinner..\nOn 2014/04/18, I spent 19 talking to Avery on various topics in the early evening..\nOn 2014/04/19, I did biking on 2014/04/19..\nOn 2014/04/19, I had sandwich for dinner with Piper, Olivia, Hazel.\nOn 2014/04/19, I talked to Eva, Piper, Rylee, Nora for 17 minutes during lunch hours..\nOn 2014/04/20, I did hiking on 2014/04/20..\nOn 2014/04/20, I spent 48 talking to Lydia, Claire on various topics in the morning..\nOn 2014/04/20, I watched news for 14 minutes on TV today..\nOn 2014/04/21, I bought some pineapples, mineral water, guava juice, shaving cream, toilet paper from the grocery store. I saw Lydia, Kinsley, Layla, Nevaeh at the grocery store..\nOn 2014/04/21, I had pasta for dinner with Carter, Kayden, Andrew, Emily.\nOn 2014/04/22, I did weight lifting on 2014/04/22..\nOn 2014/04/22, I prepare cereals for breakfast..\nOn 2014/04/23, I had breakfast with Kinsley, Avery, Piper. I ate oatmeal..\nOn 2014/04/23, I had lunch. I ate pasta..\nOn 2014/04/23, I spent 49 minutes on a book today..\nOn 2014/04/25, I had dinner. I ate sandwich..\nOn 2014/04/25, I spent 17 talking to Rylee, Piper on various topics in the early evening..\nOn 2014/04/25, I spent 15 minutes watching a tv series on TV today..\nOn 2014/04/26, I went on a date with Sophie on 2014/04/26 at a park.\nOn 2014/04/26, I ate pasta for dinner..\nOn 2014/04/27, I had oatmeal for breakfast with Carter, Andrew.\nOn 2014/04/28, I spent some time working out on 2014/04/28..\nOn 2014/04/29, I had sushi for lunch with Willow, Avery.\nOn 2014/04/29, I spent 51 talking to Nora on various topics late in the evening..\nOn 2014/04/30, I prepare sandwich for lunch..\nOn 2014/04/30, I spent 42 minutes on social media today..\nOn 2014/05/01, I did HIIT on 2014/05/01..\nOn 2014/05/02, I talked to Piper, Eva for 18 minutes during lunch hours..\nOn 2014/05/02, I spent 33 minutes reading social media today..\nOn 2014/05/03, I had pasta for dinner with Benjamin, Willow, Avery.\nOn 2014/05/03, I spent 50 minutes watching a documentary on TV today..\nOn 2014/05/04, I ate a burger for lunch..\nOn 2014/05/05, I spent 47 minutes reading social media today..\nOn 2014/05/05, I watched a documentary for 49 minutes on TV today..\nOn 2014/05/06, I talked to Piper, Lydia, Eva for 27 minutes in the early evening..\nOn 2014/05/07, I spent 24 minutes watching a documentary on TV today..\nOn 2014/05/08, I did hiking on 2014/05/08..\nOn 2014/05/08, I ate cereals for breakfast..\nOn 2014/05/09, I had sandwich for lunch with Claire, Nevaeh, Lydia, Eva, Piper, Nora.\nOn 2014/05/10, I went on a date with Natalia on 2014/05/10 at a boba shop.\nOn 2014/05/10, I did weight lifting on 2014/05/10..\nOn 2014/05/10, I ate sushi for lunch..\nOn 2014/05/10, I talked to Olivia for 43 minutes during lunch hours..\nOn 2014/05/10, I watched news for 49 minutes on TV today..\nOn 2014/05/11, I did swimming on 2014/05/11..\nOn 2014/05/11, I had breakfast. I ate peanut-butter-jam..\nOn 2014/05/11, I watched a movie for 14 minutes on TV today..\nOn 2014/05/12, I had lunch. I ate pasta..\nOn 2014/05/13, I had eggs, sausages, and bread for breakfast with Piper, Nevaeh, Eva, Hazel, Avery, Olivia, Kinsley, Lydia.\nOn 2014/05/14, I spent 39 minutes reading social media today..\nOn 2014/05/15, I had lunch with Emily, Carter. I ate sandwich..\nOn 2014/05/15, I talked to Rylee, Olivia, Layla, Eva for 28 minutes in the morning..\nOn 2014/05/16, On 2014/05/16, I took Amelia on a date to a boba shop.\nOn 2014/05/16, I talked to Kinsley, Piper for 50 minutes late in the evening..\nOn 2014/05/16, I spent 33 minutes watching a documentary on TV today..\nOn 2014/05/17, I ate toast and cheese for breakfast..\nOn 2014/05/18, I spent 48 talking to Eva, Rylee on various topics in the early evening..\nOn 2014/05/19, I spent some time working out on 2014/05/19..\nOn 2014/05/19, I had steak for dinner with Benjamin.\nOn 2014/05/20, I ate eggs, sausages, and bread for breakfast..\nOn 2014/05/21, I had tacos for lunch with Layla, Lydia, Nora, Claire, Piper, Nevaeh, Piper, Avery.\nOn 2014/05/22, I did hiking on 2014/05/22..\nOn 2014/05/22, I had toast and cheese for breakfast with Carter, Kayden, Andrew, Emily.\nOn 2014/05/22, I spent 37 minutes watching a tv series on TV today..\nOn 2014/05/23, I ate toast and cheese for breakfast..\nOn 2014/05/23, I prepare pasta for lunch..\nOn 2014/05/23, I talked to Nevaeh, Rylee, Eva, Layla for 12 minutes in the early afternoon..\nOn 2014/05/24, I spent 35 talking to Layla, Nora, Eva on various topics during lunch hours..\nOn 2014/05/25, I ate indian food for lunch..\nOn 2014/05/25, I ate sandwich for dinner..\nOn 2014/05/26, I bought some mandarins, guava, coffee, conditioner, toothbrush, mouth wash, shampoo from the grocery store. I saw Avery, Piper, Claire, Nevaeh, Rylee, Piper at the grocery store..\nOn 2014/05/26, I did biking on 2014/05/26..\nOn 2014/05/26, I ate cereals for breakfast..\nOn 2014/05/26, I prepare fish and chips for lunch..\nOn 2014/05/26, I had a burger for dinner with Hazel, Eva.\nOn 2014/05/26, I talked to Claire, Piper, Kinsley, Hazel for 23 minutes in the late afternoon..\nOn 2014/05/27, I prepare a burger for lunch..\nOn 2014/05/29, I had pasta for lunch with Carter, Andrew, Emily.\nOn 2014/05/29, I spent 6 minutes watching news on TV today..\nOn 2014/05/30, I did swimming on 2014/05/30..\nOn 2014/05/30, I prepare steak for lunch..\nOn 2014/05/31, I spent 37 minutes watching a documentary on TV today..\nOn 2014/06/01, I did HIIT on 2014/06/01..\nOn 2014/06/01, I prepare steak for lunch..\nOn 2014/06/01, I talked to Kinsley, Layla for 36 minutes late in the evening..\nOn 2014/06/01, I watched a tv series for 31 minutes on TV today..\nOn 2014/06/02, I had lunch. I ate sandwich..\nOn 2014/06/02, I had fish and chips for dinner with Andrew, Kayden, Emily.\nOn 2014/06/02, I spent 26 minutes watching a documentary on TV today..\nOn 2014/06/03, I watched a movie for 26 minutes on TV today..\nOn 2014/06/04, I did swimming on 2014/06/04..\nOn 2014/06/05, I bought some blackberries, apricots, milk, tea, soda, mouthwash, shampoo, shaving cream, conditioner from the grocery store. I saw Emily, Carter at the grocery store..\nOn 2014/06/05, I did HIIT on 2014/06/05..\nOn 2014/06/05, I talked to Kinsley, Hazel, Rylee, Lydia for 20 minutes in the morning..\nOn 2014/06/07, I spent some time gardening on 2014/06/07..\nOn 2014/06/07, I prepare sandwich for lunch..\nOn 2014/06/07, I watched a tv series for 50 minutes on TV today..\nOn 2014/06/08, I really enjoyed baking blackberry jam pie-crust straws, cinnamon sheet cake with cider frosting on 2014/06/08 with Carter, Andrew at my place.\nOn 2014/06/08, I had dinner with Willow, Benjamin, Jackson, Avery. I ate sandwich..\nOn 2014/06/09, I did HIIT on 2014/06/09..\nOn 2014/06/09, I had lunch. I ate sandwich..\nOn 2014/06/09, I spent 24 minutes on news today..\nOn 2014/06/10, I ate eggs, sausages, and bread for breakfast..\nOn 2014/06/11, I had pasta for dinner with Kayden, Andrew, Carter.\nOn 2014/06/12, I had dinner. I ate sushi..\nOn 2014/06/12, I spent 22 minutes watching a tv series on TV today..\nOn 2014/06/13, I spent 7 talking to Claire on various topics in the morning..\nOn 2014/06/14, I did running on 2014/06/14..\nOn 2014/06/16, I had a burger for lunch with Emily, Carter.\nOn 2014/06/16, I watched a movie for 24 minutes on TV today..\nOn 2014/06/17, I spent 7 minutes on social media today..\nOn 2014/06/18, I did hiking on 2014/06/18..\nOn 2014/06/18, I had lunch. I ate fish and chips..\nOn 2014/06/20, I had breakfast with Andrew, Kayden, Carter. I ate cereals..\nOn 2014/06/20, I prepare steak for lunch..\nOn 2014/06/22, I went grocery shopping. I bought some peaches, clementines, chocolate milk, and toothpaste, mouthwash, mouth wash.\nOn 2014/06/22, I spent 51 talking to Nora, Hazel, Piper on various topics in the early evening..\nOn 2014/06/23, I had dinner with Avery, Willow, Benjamin, Jackson. I ate a burger..\nOn 2014/06/24, I had breakfast. I ate cereals..\nOn 2014/06/25, I did HIIT on 2014/06/25..\nOn 2014/06/26, I bought some blackberries, mineral water, sports drinks, mouthwash, conditioner, mouth wash, toilet paper online..\nOn 2014/06/26, I ate indian food for lunch..\nOn 2014/06/26, I had dinner with Olivia, Piper, Eva, Kinsley, Hazel, Rylee, Nora, Layla, Avery, Nevaeh, Claire, Lydia, Piper. I ate tacos..\nOn 2014/06/27, I did hiking on 2014/06/27..\nOn 2014/06/27, I spent 16 talking to Piper, Nevaeh on various topics in the late afternoon..\nOn 2014/06/27, I watched a documentary for 40 minutes on TV today..\nOn 2014/06/28, I really enjoyed learning a language on 2014/06/28.\nOn 2014/06/28, I prepare steak for dinner..\nOn 2014/06/28, I spent 47 minutes on news today..\nOn 2014/06/29, On 2014/06/29, I took Adam on a date to a park.\nOn 2014/06/30, I had dinner with Kayden. I ate chinese food..\nOn 2014/07/01, I went grocery shopping. I bought some apricots, cherres, mangos, apple juice, and body lotion, conditioner.\nOn 2014/07/01, I talked to Olivia for 15 minutes late in the evening..\nOn 2014/07/02, I prepare indian food for lunch..\nOn 2014/07/02, I spent 30 minutes reading news today..\nOn 2014/07/03, I did weight lifting on 2014/07/03..\nOn 2014/07/03, I spent 45 talking to Rylee, Kinsley, Lydia, Nevaeh on various topics during lunch hours..\nOn 2014/07/04, I did HIIT on 2014/07/04..\nOn 2014/07/04, I had breakfast with Emily, Carter. I ate oatmeal..\nOn 2014/07/04, I spent 17 minutes watching a tv series on TV today..\nOn 2014/07/07, I bought some apricots, peaches, strawberries, mangos, guava juice, apple juice, coffee, shampoo, toothbrush from the grocery store. I saw Carter, Emily, Kayden at the grocery store..\nOn 2014/07/08, I ate steak for lunch..\nOn 2014/07/08, I spent 42 minutes reading a book today..\nOn 2014/07/09, I talked to Eva, Layla for 28 minutes in the early evening..\nOn 2014/07/09, I spent 7 minutes on news today..\nOn 2014/07/09, I spent 14 minutes watching a movie on TV today..\nOn 2014/07/11, I really enjoyed cooking turkey shepherd’s pie on 2014/07/11 with Benjamin, Willow at my place.\nOn 2014/07/11, I spent 18 minutes watching a movie on TV today..\nOn 2014/07/12, I prepare eggs, sausages, and bread for breakfast..\nOn 2014/07/12, I spent 9 minutes on social media today..\nOn 2014/07/13, On 2014/07/13, I took Julian on a date to a boba shop.\nOn 2014/07/14, I had lunch. I ate chinese food..\nOn 2014/07/14, I spent 47 talking to Layla, Rylee, Kinsley on various topics in the late afternoon..\nOn 2014/07/15, I prepare sushi for dinner..\nOn 2014/07/15, I watched a movie for 46 minutes on TV today..\nOn 2014/07/17, I prepare a burger for lunch..\nOn 2014/07/17, I watched a documentary for 25 minutes on TV today..\nOn 2014/07/18, I went grocery shopping with Benjamin, Avery. I bought some peaches, oranges, watermelons, apple juice, coffee, chocolate milk, and body lotion, facial wash.\nOn 2014/07/18, I prepare sushi for dinner..\nOn 2014/07/19, I ate tacos for lunch..\nOn 2014/07/21, On 2014/07/21, I took Nova on a date to a coffee Shop.\nOn 2014/07/22, I had peanut-butter-jam for breakfast with Piper, Olivia, Claire, Rylee, Kinsley, Eva, Layla, Avery, Lydia, Nevaeh, Piper, Hazel, Nora.\nOn 2014/07/22, I spent 20 talking to Nevaeh on various topics in the morning..\nOn 2014/07/22, I spent 27 minutes on a book today..\nOn 2014/07/23, I had breakfast. I ate eggs, sausages, and bread..\nOn 2014/07/23, I talked to Hazel, Claire for 53 minutes late in the evening..\nOn 2014/07/24, my parents for their and I went for an annual dental cleaning and checkup at the university hospital on 2014/07/24..\nOn 2014/07/24, I had eggs, sausages, and bread for breakfast with Carter, Andrew, Emily.\nOn 2014/07/24, I had dinner. I ate fish and chips..\nOn 2014/07/25, I did HIIT on 2014/07/25..\nOn 2014/07/28, I went on a date with Emilia on 2014/07/28 at a restaurant.\nOn 2014/07/29, I talked to Kinsley, Avery for 11 minutes during lunch hours..\nOn 2014/07/30, I had dinner with Carter, Andrew. I ate fish and chips..\nOn 2014/07/31, I did weight lifting on 2014/07/31..\nOn 2014/07/31, I talked to Kinsley, Lydia, Avery for 12 minutes in the late afternoon..\nOn 2014/08/01, I spent time gardening on 2014/08/01 with Rylee, Piper..\nOn 2014/08/01, I did hiking on 2014/08/01..\nOn 2014/08/01, I prepare indian food for lunch..\nOn 2014/08/02, I ate toast and cheese for breakfast..\nOn 2014/08/02, I had lunch. I ate steak..\nOn 2014/08/02, I had dinner. I ate steak..\nOn 2014/08/03, I ate oatmeal for breakfast..\nOn 2014/08/04, I talked to Nevaeh, Lydia, Hazel for 29 minutes during lunch hours..\nOn 2014/08/06, I spent 45 talking to Lydia, Layla, Piper, Claire on various topics in the early afternoon..\nOn 2014/08/06, I spent 11 minutes on news today..\nOn 2014/08/06, I watched a documentary for 13 minutes on TV today..\nOn 2014/08/08, I spent 28 minutes reading a book today..\nOn 2014/08/09, I spent 37 minutes on a book today..\nOn 2014/08/10, I went grocery shopping with Carter, Andrew, Emily. I bought some raspberries, mandarins, nectarines, pineapples, tea, milk, sports drinks, and body lotion, shaving cream, facial wash.\nOn 2014/08/11, I went on a date with Kinsley on 2014/08/11 at a boba shop.\nOn 2014/08/12, I prepare pancakes for breakfast..\nOn 2014/08/13, I bought some strawberries, nectarines, sports drinks, facial wash, conditioner, toothpaste, toilet paper from the grocery store. I saw Benjamin, Willow at the grocery store..\nOn 2014/08/13, I did swimming on 2014/08/13..\nOn 2014/08/13, I prepare fish and chips for lunch..\nOn 2014/08/13, I spent 16 talking to Kinsley, Avery, Nora, Claire on various topics in the early afternoon..\nOn 2014/08/13, I spent 26 minutes reading social media today..\nOn 2014/08/14, I had fish and chips for dinner with Kayden, Carter, Andrew.\nOn 2014/08/15, I did HIIT on 2014/08/15..\nOn 2014/08/15, I ate chinese food for lunch..\nOn 2014/08/16, I did biking on 2014/08/16..\nOn 2014/08/16, I had lunch. I ate steak..\nOn 2014/08/16, I spent 7 minutes reading social media today..\nOn 2014/08/16, I spent 33 minutes watching a documentary on TV today..\nOn 2014/08/17, I spent 50 minutes watching news on TV today..\nOn 2014/08/19, I ate toast and cheese for breakfast..\nOn 2014/08/19, I spent 43 minutes reading a book today..\nOn 2014/08/20, I prepare pasta for dinner..\nOn 2014/08/20, I spent 30 talking to Piper, Eva, Kinsley, Nevaeh on various topics in the late afternoon..\nOn 2014/08/20, I spent 38 minutes on news today..\nOn 2014/08/21, I had breakfast. I ate peanut-butter-jam..\nOn 2014/08/22, I had breakfast with Layla, Nevaeh, Lydia. I ate peanut-butter-jam..\nOn 2014/08/22, I spent 35 minutes on a book today..\nOn 2014/08/22, I spent 52 minutes watching a movie on TV today..\nOn 2014/08/23, I had sushi for dinner with Andrew, Carter.\nOn 2014/08/23, I spent 24 minutes watching a tv series on TV today..\nOn 2014/08/25, I spent 24 minutes reading news today..\nOn 2014/08/25, I spent 30 minutes watching a movie on TV today..\nOn 2014/08/26, I went on a date with Oliver on 2014/08/26 at a park.\nOn 2014/08/26, I had dinner. I ate sandwich..\nOn 2014/08/26, I talked to Nevaeh for 42 minutes in the late afternoon..\nOn 2014/08/27, I spent time yoga on 2014/08/27 with Carter..\nOn 2014/08/27, I ate toast and cheese for breakfast..\nOn 2014/08/27, I had steak for lunch with Jackson, Benjamin.\nOn 2014/08/27, I spent 20 minutes watching a movie on TV today..\nOn 2014/08/28, I did HIIT on 2014/08/28..\nOn 2014/08/28, I ate steak for lunch..\nOn 2014/08/28, I spent 45 minutes on news today..\nOn 2014/08/30, I did swimming on 2014/08/30..\nOn 2014/08/30, I talked to Piper, Eva, Olivia for 44 minutes in the morning..\nOn 2014/08/31, I entertained Andrew, Emily, Carter, Kayden at my place on 2014/08/31 and cook au gratin peas and potatoes, vietnamese coffee.\nOn 2014/08/31, I went on a date with Mike on 2014/08/31 at a restaurant.\nOn 2014/08/31, I ate tacos for lunch..\nOn 2014/08/31, I talked to Rylee for 32 minutes in the early evening..\nOn 2014/08/31, I spent 29 minutes on news today..\nOn 2014/09/01, I spent 51 minutes reading a book today..\nOn 2014/09/01, I watched news for 48 minutes on TV today..\nOn 2014/09/02, I did biking on 2014/09/02..\nOn 2014/09/03, I had lunch with Avery, Olivia, Layla, Rylee, Lydia, Nevaeh, Hazel, Piper, Piper, Claire, Eva, Nora, Kinsley. I ate steak..\nOn 2014/09/03, I spent 45 minutes watching a tv series on TV today..\nOn 2014/09/05, I ate tacos for dinner..\nOn 2014/09/06, I went grocery shopping with Nora, Piper, Kinsley. I bought some strawberries, guava, clementines, apples, tea, chocolate milk, mango juice, apple juice, and shampoo, mouth wash.\nOn 2014/09/06, I prepare eggs, sausages, and bread for breakfast..\nOn 2014/09/07, I talked to Lydia, Piper for 19 minutes late in the evening..\nOn 2014/09/08, I did swimming on 2014/09/08..\nOn 2014/09/08, I had chinese food for lunch with Willow, Avery, Benjamin.\nOn 2014/09/08, I spent 13 talking to Layla, Kinsley, Avery, Piper on various topics in the morning..\nOn 2014/09/08, I spent 18 minutes reading social media today..\nOn 2014/09/09, I had dinner. I ate steak..\nOn 2014/09/10, I had dinner with Avery, Benjamin. I ate sandwich..\nOn 2014/09/10, I talked to Layla, Avery, Eva, Lydia for 40 minutes in the early afternoon..\nOn 2014/09/11, I did swimming on 2014/09/11..\nOn 2014/09/11, I prepare oatmeal for breakfast..\nOn 2014/09/12, I spent some time working out on 2014/09/12..\nOn 2014/09/13, I had oatmeal for breakfast with Layla, Piper, Lydia, Nevaeh.\nOn 2014/09/13, I ate tacos for dinner..\nOn 2014/09/13, I spent 45 minutes watching a tv series on TV today..\nOn 2014/09/14, I did running on 2014/09/14..\nOn 2014/09/14, I spent 7 minutes watching a documentary on TV today..\nOn 2014/09/15, I prepare steak for lunch..\nOn 2014/09/15, I talked to Kinsley, Eva, Olivia for 26 minutes in the late afternoon..\nOn 2014/09/15, I spent 25 minutes on news today..\nOn 2014/09/15, I watched a documentary for 5 minutes on TV today..\nOn 2014/09/16, I did hiking on 2014/09/16..\nOn 2014/09/16, I spent 12 talking to Hazel, Claire, Rylee on various topics late in the evening..\nOn 2014/09/17, I watched a movie for 55 minutes on TV today..\nOn 2014/09/19, I did running on 2014/09/19..\nOn 2014/09/19, I watched news for 5 minutes on TV today..\nOn 2014/09/20, I bought some apples, peaches, soda, chocolate milk, toilet paper, conditioner, shaving cream, shampoo from the grocery store. I saw Emily, Andrew, Kayden at the grocery store..\nOn 2014/09/20, I prepare eggs, sausages, and bread for breakfast..\nOn 2014/09/20, I spent 29 minutes reading social media today..\nOn 2014/09/20, I watched a documentary for 48 minutes on TV today..\nOn 2014/09/21, I spent 30 minutes reading news today..\nOn 2014/09/22, I had indian food for dinner with Emily, Kayden, Carter, Andrew.\nOn 2014/09/23, I did hiking on 2014/09/23..\nOn 2014/09/23, I had indian food for lunch with Andrew, Carter.\nOn 2014/09/23, I watched a tv series for 21 minutes on TV today..\nOn 2014/09/24, I bought some mangos, mandarins, soda, orange juice, coffee, toilet paper, conditioner, toothbrush, shaving cream online..\nOn 2014/09/24, I had a burger for lunch with Claire, Layla, Piper, Avery.\nOn 2014/09/24, I talked to Rylee for 53 minutes in the early afternoon..\nOn 2014/09/25, I spent 48 minutes watching a movie on TV today..\nOn 2014/09/26, I ate fish and chips for dinner..\nOn 2014/09/27, I spent 44 minutes reading news today..\nOn 2014/09/27, I spent 52 minutes watching a documentary on TV today..\nOn 2014/09/28, I spent 9 talking to Eva, Rylee, Nora on various topics in the early evening..\nOn 2014/09/29, I prepare tacos for dinner..\nOn 2014/09/30, I watched a movie for 28 minutes on TV today..\nOn 2014/10/01, I spent 17 minutes reading social media today..\nOn 2014/10/02, I prepare peanut-butter-jam for breakfast..\nOn 2014/10/04, I did hiking on 2014/10/04..\nOn 2014/10/05, I did swimming on 2014/10/05..\nOn 2014/10/05, I had dinner with Layla. I ate tacos..\nOn 2014/10/05, I watched a tv series for 40 minutes on TV today..\nOn 2014/10/06, I ate sandwich for lunch..\nOn 2014/10/06, I spent 34 talking to Kinsley, Nora on various topics in the morning..\nOn 2014/10/07, I ate pasta for dinner..\nOn 2014/10/09, I had breakfast. I ate cereals..\nOn 2014/10/11, I did biking on 2014/10/11..\nOn 2014/10/12, I went on a date with Leilani on 2014/10/12 at a restaurant.\nOn 2014/10/12, I really enjoyed learning a language on 2014/10/12.\nOn 2014/10/13, I had pasta for lunch with Avery, Benjamin, Jackson.\nOn 2014/10/13, I spent 11 talking to Eva, Layla on various topics in the early evening..\nOn 2014/10/14, I had dinner with Avery. I ate pasta..\nOn 2014/10/15, I spent 52 talking to Rylee on various topics during lunch hours..\nOn 2014/10/16, I bought some watermelons, sports drinks, mango juice, apple juice, tea, shaving cream, mouth wash online..\nOn 2014/10/17, I had dinner with Carter. I ate tacos..\nOn 2014/10/17, I talked to Nevaeh, Hazel, Nora for 5 minutes during lunch hours..\nOn 2014/10/18, I spent time meditation on 2014/10/18 with Andrew, Kayden..\nOn 2014/10/19, I went grocery shopping. I bought some guava, watermelons, cherres, pears, milk, soda, coffee, and mouth wash, body lotion, conditioner, mouthwash.\nOn 2014/10/21, I did HIIT on 2014/10/21..\nOn 2014/10/22, I talked to Nora for 21 minutes late in the evening..\nOn 2014/10/22, I spent 55 minutes reading news today..\nOn 2014/10/23, I spent 50 minutes on news today..\nOn 2014/10/24, I talked to Piper, Olivia for 53 minutes in the early afternoon..\nOn 2014/10/24, I spent 12 minutes on a book today..\nOn 2014/10/24, I spent 13 minutes watching a documentary on TV today..\nOn 2014/10/25, I did running on 2014/10/25..\nOn 2014/10/25, I spent 33 minutes reading social media today..\nOn 2014/10/26, I talked to Rylee for 38 minutes in the early evening..\nOn 2014/10/27, I did HIIT on 2014/10/27..\nOn 2014/10/27, I prepare sandwich for dinner..\nOn 2014/10/27, I spent 33 talking to Lydia, Olivia, Piper, Nora on various topics in the morning..\nOn 2014/10/27, I spent 50 minutes reading news today..\nOn 2014/10/28, I ate oatmeal for breakfast..\nOn 2014/10/28, I prepare steak for dinner..\nOn 2014/10/28, I spent 5 minutes reading news today..\nOn 2014/10/29, I had dinner. I ate fish and chips..\nOn 2014/10/30, I did weight lifting on 2014/10/30..\nOn 2014/10/30, I talked to Olivia, Rylee, Hazel for 19 minutes in the late afternoon..\nOn 2014/10/31, I ate fish and chips for dinner..\nOn 2014/11/01, I prepare peanut-butter-jam for breakfast..\nOn 2014/11/02, I bought some blueberries, clementines, pears, mandarins, orange juice, shaving cream, paper towel, facial wash online..\nOn 2014/11/02, I had breakfast. I ate peanut-butter-jam..\nOn 2014/11/02, I had a burger for lunch with Nora, Claire, Piper, Layla.\nOn 2014/11/03, I talked to Layla, Nevaeh for 26 minutes in the early afternoon..\nOn 2014/11/04, On 2014/11/04, I took Christian on a date to a boba shop.\nOn 2014/11/04, I spent 11 minutes on a book today..\nOn 2014/11/05, I did biking on 2014/11/05..\nOn 2014/11/06, I did running on 2014/11/06..\nOn 2014/11/06, I prepare fish and chips for lunch..\nOn 2014/11/07, I ate eggs, sausages, and bread for breakfast..\nOn 2014/11/07, I spent 38 minutes reading social media today..\nOn 2014/11/08, I did biking on 2014/11/08..\nOn 2014/11/08, I spent 31 minutes watching news on TV today..\nOn 2014/11/09, I spent 31 minutes on social media today..\nOn 2014/11/10, I talked to Piper, Layla, Rylee, Piper for 40 minutes during lunch hours..\nOn 2014/11/11, I watched a documentary for 50 minutes on TV today..\nOn 2014/11/12, I prepare indian food for lunch..\nOn 2014/11/12, I spent 12 minutes reading a book today..\nOn 2014/11/14, I went on a date with Wyatt on 2014/11/14 at a park.\nOn 2014/11/14, I prepare peanut-butter-jam for breakfast..\nOn 2014/11/14, I watched a tv series for 42 minutes on TV today..\nOn 2014/11/15, I ate peanut-butter-jam for breakfast..\nOn 2014/11/15, I prepare chinese food for lunch..\nOn 2014/11/15, I talked to Kinsley for 43 minutes late in the evening..\nOn 2014/11/16, I did swimming on 2014/11/16..\nOn 2014/11/16, I had lunch. I ate fish and chips..\nOn 2014/11/16, I watched news for 31 minutes on TV today..\nOn 2014/11/17, I spent 7 talking to Nora, Rylee on various topics in the late afternoon..\nOn 2014/11/17, I spent 13 minutes watching news on TV today..\nOn 2014/11/18, On 2014/11/18, I took Nathan on a date to a coffee Shop.\nOn 2014/11/19, I prepare eggs, sausages, and bread for breakfast..\nOn 2014/11/19, I prepare tacos for dinner..\nOn 2014/11/20, I talked to Piper for 39 minutes in the morning..\nOn 2014/11/20, I spent 8 minutes watching a movie on TV today..\nOn 2014/11/21, I did biking on 2014/11/21..\nOn 2014/11/22, I prepare eggs, sausages, and bread for breakfast..\nOn 2014/11/23, I spent 28 minutes reading social media today..\nOn 2014/11/23, I watched a tv series for 43 minutes on TV today..\nOn 2014/11/24, I spent 11 talking to Claire on various topics late in the evening..\nOn 2014/11/24, I spent 40 minutes on social media today..\nOn 2014/11/25, I did swimming on 2014/11/25..\nOn 2014/11/25, I talked to Kinsley, Lydia, Avery, Piper for 7 minutes in the early afternoon..\nOn 2014/11/25, I spent 48 minutes on a book today..\nOn 2014/11/26, I did swimming on 2014/11/26..\nOn 2014/11/26, I spent 36 minutes on a book today..\nOn 2014/11/27, I ate eggs, sausages, and bread for breakfast..\nOn 2014/11/27, I prepare pasta for dinner..\nOn 2014/11/28, I prepare pasta for dinner..\nOn 2014/11/28, I spent 8 minutes reading news today..\nOn 2014/11/29, I spent 26 talking to Claire, Hazel, Lydia, Eva on various topics during lunch hours..\nOn 2014/11/29, I spent 48 minutes watching a tv series on TV today..\nOn 2014/11/30, I watched news for 55 minutes on TV today..\nOn 2014/12/01, I bought some mangos, pears, mango juice, milk, sports drinks, orange juice, mouthwash, body lotion, paper towel, toothbrush online..\nOn 2014/12/01, I prepare tacos for lunch..\nOn 2014/12/02, I spent 11 minutes on news today..\nOn 2014/12/04, I went on a date with Lillian on 2014/12/04 at a boba shop.\nOn 2014/12/05, I spent 34 talking to Layla, Claire, Eva, Lydia on various topics in the early afternoon..\nOn 2014/12/05, I watched news for 37 minutes on TV today..\nOn 2014/12/06, I spent 36 talking to Avery, Rylee on various topics late in the evening..\nOn 2014/12/07, I prepare steak for dinner..\nOn 2014/12/07, I talked to Lydia for 6 minutes in the morning..\nOn 2014/12/07, I watched a documentary for 9 minutes on TV today..\nOn 2014/12/10, I really enjoyed cooking asian slaw on 2014/12/10 with Avery, Benjamin at my place.\nOn 2014/12/10, I prepare oatmeal for breakfast..\nOn 2014/12/10, I ate sushi for lunch..\nOn 2014/12/10, I talked to Hazel, Layla for 45 minutes in the early afternoon..\nOn 2014/12/10, I spent 32 minutes on social media today..\nOn 2014/12/11, I ate chinese food for dinner..\nOn 2014/12/12, I ate eggs, sausages, and bread for breakfast..\nOn 2014/12/12, I spent 52 talking to Rylee, Olivia, Piper, Nora on various topics in the late afternoon..\nOn 2014/12/13, I had lunch with Jackson, Willow. I ate tacos..\nOn 2014/12/14, I did HIIT on 2014/12/14..\nOn 2014/12/14, I talked to Nevaeh, Eva for 49 minutes in the early afternoon..\nOn 2014/12/15, I had breakfast with Nora, Eva, Layla, Piper, Rylee. I ate cereals..\nOn 2014/12/15, I had dinner. I ate a burger..\nOn 2014/12/16, On 2014/12/16, I took Emma on a date to a park.\nOn 2014/12/16, I did weight lifting on 2014/12/16..\nOn 2014/12/16, I had lunch with Piper, Olivia, Lydia, Eva. I ate chinese food..\nOn 2014/12/16, I talked to Piper for 27 minutes in the morning..\nOn 2014/12/17, I had lunch. I ate indian food..\nOn 2014/12/18, I did weight lifting on 2014/12/18..\nOn 2014/12/18, I ate cereals for breakfast..\nOn 2014/12/18, I spent 26 minutes reading news today..\nOn 2014/12/19, I had breakfast with Emily, Kayden, Andrew, Carter. I ate peanut-butter-jam..\nOn 2014/12/19, I had dinner. I ate indian food..\nOn 2014/12/19, I talked to Claire, Layla for 21 minutes in the early evening..\nOn 2014/12/20, I spent 25 talking to Claire, Hazel, Lydia, Nevaeh on various topics during lunch hours..\nOn 2014/12/20, I spent 6 minutes on a book today..\nOn 2014/12/21, I did hiking on 2014/12/21..\nOn 2014/12/21, I had toast and cheese for breakfast with Andrew, Carter.\nOn 2014/12/22, I spent 5 talking to Nora, Hazel, Eva on various topics in the early afternoon..\nOn 2014/12/23, I did biking on 2014/12/23..\nOn 2014/12/23, I ate tacos for lunch..\nOn 2014/12/23, I spent 53 talking to Nora, Lydia, Hazel, Olivia on various topics in the early afternoon..\nOn 2014/12/24, I talked to Eva for 12 minutes during lunch hours..\nOn 2014/12/25, I went for an annual dental cleaning and checkup on 2014/12/25 at the hospital..\nOn 2014/12/25, I had steak for lunch with Carter, Kayden, Emily.\nOn 2014/12/25, I spent 42 minutes watching a movie on TV today..\nOn 2014/12/26, I bought some pears, bananas, apples, pineapple juice, chocolate milk, mouth wash from the grocery store. I saw Carter, Emily, Kayden at the grocery store..\nOn 2014/12/26, I prepare steak for lunch..\nOn 2014/12/27, I went grocery shopping. I bought some raspberries, coffee, sports drinks, mineral water, and mouthwash, facial wash, mouth wash.\nOn 2014/12/27, I had lunch. I ate sushi..\nOn 2014/12/29, I spent 35 talking to Avery on various topics in the morning..\nOn 2014/12/30, I had lunch with Andrew, Emily. I ate a burger..\nOn 2014/12/30, I had dinner with Jackson, Willow, Avery. I ate fish and chips..\nOn 2014/12/31, I prepare a burger for lunch..\nOn 2015/01/01, I had peanut-butter-jam for breakfast with Kayden, Carter, Andrew, Emily.\nOn 2015/01/02, I had lunch with Andrew, Emily, Kayden. I ate fish and chips..\nOn 2015/01/02, I had dinner with Hazel, Nora. I ate indian food..\nOn 2015/01/03, I spent 55 minutes on news today..\nOn 2015/01/03, I watched a movie for 45 minutes on TV today..\nOn 2015/01/04, I talked to Claire, Rylee, Kinsley, Layla for 13 minutes during lunch hours..\nOn 2015/01/05, I bought some blueberries, peaches, apples, apple juice, sports drinks, mouthwash online..\nOn 2015/01/05, I had lunch with Eva, Nevaeh, Lydia, Olivia. I ate steak..\nOn 2015/01/06, I had lunch. I ate indian food..\nOn 2015/01/06, I spent 12 talking to Eva, Piper, Kinsley on various topics in the late afternoon..\nOn 2015/01/07, On 2015/01/07, I took Olivia on a date to a boba shop.\nOn 2015/01/07, I did swimming on 2015/01/07..\nOn 2015/01/07, I prepare tacos for lunch..\nOn 2015/01/07, I spent 39 talking to Lydia on various topics in the morning..\nOn 2015/01/08, I prepare a burger for dinner..\nOn 2015/01/10, I had breakfast. I ate oatmeal..\nOn 2015/01/10, I had steak for lunch with Willow, Jackson.\nOn 2015/01/11, I had dinner with Carter, Andrew, Kayden, Emily. I ate a burger..\nOn 2015/01/11, I spent 7 minutes on news today..\nOn 2015/01/12, On 2015/01/12, I took Roman on a date to a restaurant.\nOn 2015/01/12, I had sushi for dinner with Benjamin, Jackson.\nOn 2015/01/12, I spent 12 minutes on social media today..\nOn 2015/01/13, I spent 49 talking to Hazel, Nora, Layla, Eva on various topics in the late afternoon..\nOn 2015/01/13, I spent 22 minutes watching a tv series on TV today..\nOn 2015/01/14, I spent 42 talking to Olivia, Rylee, Kinsley, Nora on various topics in the morning..\nOn 2015/01/15, I did swimming on 2015/01/15..\nOn 2015/01/15, I talked to Eva, Nora for 11 minutes late in the evening..\nOn 2015/01/18, I did hiking on 2015/01/18..\nOn 2015/01/18, I had breakfast. I ate oatmeal..\nOn 2015/01/18, I spent 12 minutes on a book today..\nOn 2015/01/20, I spent 40 minutes on social media today..\nOn 2015/01/21, I really enjoyed gardening on 2015/01/21.\nOn 2015/01/21, I did hiking on 2015/01/21..\nOn 2015/01/21, I spent 49 minutes watching a documentary on TV today..\nOn 2015/01/22, I talked to Piper, Piper, Eva for 45 minutes during lunch hours..\nOn 2015/01/24, I did hiking on 2015/01/24..\nOn 2015/01/24, I talked to Nora, Nevaeh, Rylee for 39 minutes in the early evening..\nOn 2015/01/25, I bought some pineapples, apples, sports drinks, mineral water, soda, body lotion online..\nOn 2015/01/25, I had pasta for lunch with Olivia.\nOn 2015/01/26, I prepare toast and cheese for breakfast..\nOn 2015/01/26, I talked to Nevaeh, Nora for 11 minutes in the early afternoon..\nOn 2015/01/28, I had a burger for lunch with Andrew, Carter, Kayden.\nOn 2015/01/28, I spent 10 talking to Claire on various topics during lunch hours..\nOn 2015/01/29, I had toast and cheese for breakfast with Carter.\nOn 2015/01/29, I watched a movie for 20 minutes on TV today..\nOn 2015/01/30, I spent 36 talking to Lydia on various topics in the morning..\nOn 2015/01/31, I bought some guava, soda, coffee, orange juice, milk, body lotion online..\nOn 2015/01/31, I did hiking on 2015/01/31..\nOn 2015/01/31, I had dinner. I ate steak..\nOn 2015/01/31, I spent 17 talking to Kinsley on various topics in the early evening..\nOn 2015/02/01, I had indian food for lunch with Kayden, Carter.\nOn 2015/02/01, I spent 18 talking to Nora on various topics late in the evening..\nOn 2015/02/02, I bought some apricots, cherres, guava, pears, soda, tea, sports drinks, body lotion, facial wash online..\nOn 2015/02/02, I had oatmeal for breakfast with Kayden, Carter, Emily, Andrew.\nOn 2015/02/02, I ate chinese food for lunch..\nOn 2015/02/02, I spent 38 minutes watching a documentary on TV today..\nOn 2015/02/03, I did HIIT on 2015/02/03..\nOn 2015/02/03, I had indian food for lunch with Carter, Emily, Kayden.\nOn 2015/02/03, I prepare a burger for dinner..\nOn 2015/02/03, I watched a documentary for 52 minutes on TV today..\nOn 2015/02/04, I had breakfast with Nora, Claire, Avery. I ate toast and cheese..\nOn 2015/02/04, I spent 6 talking to Claire on various topics late in the evening..\nOn 2015/02/05, I bought some blackberries, sports drinks, pineapple juice, toothbrush from the grocery store. I saw Carter, Kayden, Emily at the grocery store..\nOn 2015/02/05, I ate eggs, sausages, and bread for breakfast..\nOn 2015/02/06, I did hiking on 2015/02/06..\nOn 2015/02/06, I talked to Lydia, Rylee, Claire, Olivia for 34 minutes in the early evening..\nOn 2015/02/07, I had breakfast. I ate oatmeal..\nOn 2015/02/07, I ate chinese food for lunch..\nOn 2015/02/08, I had peanut-butter-jam for breakfast with Emily, Kayden.\nOn 2015/02/08, I spent 5 minutes watching a movie on TV today..\nOn 2015/02/09, I bought some strawberries, apricots, apple juice, mineral water, conditioner, mouthwash from the grocery store. I saw Jackson at the grocery store..\nOn 2015/02/09, I spent 38 talking to Layla, Hazel on various topics in the early afternoon..\nOn 2015/02/10, I did hiking on 2015/02/10..\nOn 2015/02/11, On 2015/02/11, I took Delilah on a date to a coffee Shop.\nOn 2015/02/11, I had lunch. I ate tacos..\nOn 2015/02/11, I spent 45 talking to Layla, Hazel, Rylee on various topics late in the evening..\nOn 2015/02/12, I prepare indian food for dinner..\nOn 2015/02/12, I spent 28 minutes reading a book today..\nOn 2015/02/13, I had dinner. I ate fish and chips..\nOn 2015/02/13, I spent 53 minutes on news today..\nOn 2015/02/14, I went grocery shopping. I bought some peaches, raspberries, tea, soda, coffee, and facial wash, conditioner, mouth wash.\nOn 2015/02/14, I had cereals for breakfast with Jackson.\nOn 2015/02/14, I had lunch. I ate indian food..\nOn 2015/02/14, I spent 6 minutes watching a documentary on TV today..\nOn 2015/02/15, I had a burger for lunch with Hazel, Eva, Lydia, Kinsley, Avery, Layla, Rylee, Piper, Nevaeh, Piper, Nora, Olivia, Claire.\nOn 2015/02/15, I talked to Nora for 8 minutes late in the evening..\nOn 2015/02/16, I did biking on 2015/02/16..\nOn 2015/02/17, I talked to Layla for 21 minutes in the morning..\nOn 2015/02/18, I had breakfast with Andrew, Carter. I ate cereals..\nOn 2015/02/18, I had lunch. I ate a burger..\nOn 2015/02/20, I ate pasta for dinner..\nOn 2015/02/21, I bought some pears, strawberries, oranges, chocolate milk, tea, toothbrush, body lotion, mouth wash online..\nOn 2015/02/22, I went grocery shopping. I bought some mandarins, pears, blueberries, apple juice, soda, chocolate milk, sports drinks, and body lotion, toilet paper.\nOn 2015/02/22, I prepare toast and cheese for breakfast..\nOn 2015/02/24, I spent 20 minutes on news today..\nOn 2015/02/26, I spent 37 talking to Hazel on various topics in the late afternoon..\nOn 2015/02/26, I spent 30 minutes reading a book today..\nOn 2015/02/27, I spent some time meditation on 2015/02/27..\nOn 2015/02/27, I did weight lifting on 2015/02/27..\nOn 2015/02/27, I had dinner with Avery, Willow, Jackson, Benjamin. I ate pasta..\nOn 2015/02/27, I talked to Avery for 9 minutes during lunch hours..\nOn 2015/02/27, I spent 27 minutes reading news today..\nOn 2015/02/28, I ate chinese food for lunch..\nOn 2015/02/28, I spent 7 minutes watching a tv series on TV today..\nOn 2015/03/01, I had a burger for lunch with Benjamin, Jackson, Avery, Willow.\nOn 2015/03/01, I spent 38 minutes watching a documentary on TV today..\nOn 2015/03/02, I ate chinese food for lunch..\nOn 2015/03/03, I visited Shanghai, China for 12 days with Benjamin starting on 2015/03/03.\nOn 2015/03/03, I had oatmeal for breakfast with Lydia, Rylee.\nOn 2015/03/03, I had dinner. I ate sushi..\nOn 2015/03/03, I spent 34 talking to Avery, Piper, Eva, Kinsley on various topics in the early evening..\nOn 2015/03/04, I ate Japanese food at South Bund Fabric Market with Benjamin on  2015/03/04 when I was in Shanghai, China..\nOn 2015/03/05, I ate Chinese food at Fangbang Xi Lu with Benjamin on  2015/03/05 when I was in Shanghai, China..\nOn 2015/03/05, I ate peanut-butter-jam for breakfast..\nOn 2015/03/05, I ate tacos for dinner..\nOn 2015/03/06, I ate Japanese food at South Bund Fabric Market with Benjamin on  2015/03/06 when I was in Shanghai, China..\nOn 2015/03/06, I spent 32 minutes on social media today..\nOn 2015/03/07, I ate Indian food at Yuyuan Lu junction with Benjamin on  2015/03/07 when I was in Shanghai, China..\nOn 2015/03/07, I watched a movie for 8 minutes on TV today..\nOn 2015/03/08, I ate Indian food at Fangbang Xi Lu with Benjamin on  2015/03/08 when I was in Shanghai, China..\nOn 2015/03/08, I had pasta for dinner with Hazel, Lydia, Olivia, Piper, Avery, Nevaeh, Layla, Piper, Kinsley, Claire.\nOn 2015/03/08, I spent 29 talking to Piper, Layla on various topics during lunch hours..\nOn 2015/03/08, I spent 38 minutes reading social media today..\nOn 2015/03/08, I spent 42 minutes watching news on TV today..\nOn 2015/03/09, I ate Chinese food at South Bund Fabric Market with Benjamin on  2015/03/09 when I was in Shanghai, China..\nOn 2015/03/09, I prepare sandwich for dinner..\nOn 2015/03/10, I ate Indian food at Wanhangdu Lu junction with Benjamin on  2015/03/10 when I was in Shanghai, China..\nOn 2015/03/10, I prepare steak for lunch..\nOn 2015/03/11, I ate local food at Wanhangdu Lu junction with Benjamin on  2015/03/11 when I was in Shanghai, China..\nOn 2015/03/11, I spent 41 talking to Piper on various topics in the early evening..\nOn 2015/03/11, I spent 40 minutes on social media today..\nOn 2015/03/12, I ate Italian food at South Bund Fabric Market with Benjamin on  2015/03/12 when I was in Shanghai, China..\nOn 2015/03/12, On 2015/03/12, I took Mateo on a date to a park.\nOn 2015/03/12, I had breakfast with Jackson. I ate peanut-butter-jam..\nOn 2015/03/12, I watched a movie for 11 minutes on TV today..\nOn 2015/03/13, I ate Chinese food at Wanhangdu Lu junction with Benjamin on  2015/03/13 when I was in Shanghai, China..\nOn 2015/03/13, I talked to Lydia, Olivia for 35 minutes during lunch hours..\nOn 2015/03/14, I ate Chinese food at Yuyuan Lu junction with Benjamin on  2015/03/14 when I was in Shanghai, China..\nOn 2015/03/14, I spent 29 talking to Hazel on various topics in the morning..\nOn 2015/03/15, I ate Italian food at Yuyuan Lu junction with Benjamin on  2015/03/15 when I was in Shanghai, China..\nOn 2015/03/16, I spent time gardening on 2015/03/16 with Nevaeh, Rylee, Kinsley..\nOn 2015/03/16, I spent 41 minutes watching a tv series on TV today..\nOn 2015/03/17, I did hiking on 2015/03/17..\nOn 2015/03/17, I had peanut-butter-jam for breakfast with Avery, Nora, Piper, Lydia.\nOn 2015/03/17, I had indian food for lunch with Nora.\nOn 2015/03/18, I prepare sandwich for dinner..\nOn 2015/03/18, I spent 50 minutes watching a tv series on TV today..\nOn 2015/03/20, my parents for their and I went for an annual dental cleaning and checkup at the private clinic on 2015/03/20..\nOn 2015/03/20, I did weight lifting on 2015/03/20..\nOn 2015/03/20, I had lunch. I ate fish and chips..\nOn 2015/03/20, I talked to Avery for 6 minutes in the early evening..\nOn 2015/03/21, I did weight lifting on 2015/03/21..\nOn 2015/03/21, I watched a tv series for 16 minutes on TV today..\nOn 2015/03/22, I had dinner. I ate chinese food..\nOn 2015/03/22, I spent 13 talking to Piper, Hazel, Layla, Claire on various topics in the morning..\nOn 2015/03/23, I bought some blackberries, milk, soda, tea, shaving cream from the grocery store. I saw Andrew, Emily, Kayden, Carter at the grocery store..\nOn 2015/03/23, I had dinner with Emily, Kayden, Andrew, Carter. I ate fish and chips..\nOn 2015/03/24, I spent 37 minutes reading social media today..\nOn 2015/03/25, I talked to Nevaeh, Rylee, Kinsley for 9 minutes in the early evening..\nOn 2015/03/26, I had dinner. I ate a burger..\nOn 2015/03/27, I ate toast and cheese for breakfast..\nOn 2015/03/27, I talked to Hazel for 26 minutes during lunch hours..\nOn 2015/03/27, I watched a tv series for 33 minutes on TV today..\nOn 2015/03/28, I had sandwich for lunch with Carter.\nOn 2015/03/29, I went grocery shopping. I bought some oranges, blackberries, cherres, soda, apple juice, mineral water, and mouthwash, paper towel.\nOn 2015/03/29, I spent 12 minutes watching a movie on TV today..\nOn 2015/03/30, I did HIIT on 2015/03/30..\nOn 2015/03/30, I ate fish and chips for lunch..\nOn 2015/03/30, I talked to Piper for 7 minutes in the late afternoon..\nOn 2015/03/31, I watched news for 21 minutes on TV today..\nOn 2015/04/01, I did weight lifting on 2015/04/01..\nOn 2015/04/01, I spent 47 minutes reading social media today..\nOn 2015/04/03, I had lunch with Jackson. I ate sandwich..\nOn 2015/04/03, I talked to Eva, Layla for 11 minutes in the early afternoon..\nOn 2015/04/04, I spent 37 minutes on news today..\nOn 2015/04/05, I had lunch with Carter, Kayden, Andrew. I ate indian food..\nOn 2015/04/05, I had dinner with Benjamin, Willow, Avery, Jackson. I ate sandwich..\nOn 2015/04/06, I had peanut-butter-jam for breakfast with Benjamin, Jackson, Avery, Willow.\nOn 2015/04/07, I went grocery shopping with Andrew, Kayden. I bought some strawberries, apples, soda, and mouth wash, toothbrush, conditioner, toothpaste.\nOn 2015/04/07, I talked to Olivia, Avery for 32 minutes in the morning..\nOn 2015/04/08, I had breakfast. I ate cereals..\nOn 2015/04/08, I spent 28 talking to Kinsley, Claire, Nevaeh, Lydia on various topics late in the evening..\nOn 2015/04/09, I did swimming on 2015/04/09..\nOn 2015/04/09, I ate pasta for lunch..\nOn 2015/04/09, I talked to Lydia, Layla for 34 minutes late in the evening..\nOn 2015/04/10, I prepare pasta for dinner..\nOn 2015/04/10, I spent 7 talking to Piper, Hazel, Eva on various topics late in the evening..\nOn 2015/04/10, I spent 26 minutes on social media today..\nOn 2015/04/11, I talked to Hazel, Layla for 46 minutes in the morning..\nOn 2015/04/12, I did swimming on 2015/04/12..\nOn 2015/04/12, I spent 29 talking to Nevaeh, Piper on various topics in the early evening..\nOn 2015/04/13, I prepare chinese food for lunch..\nOn 2015/04/13, I had dinner with Piper, Lydia, Eva, Nevaeh, Nora, Layla, Rylee, Claire, Hazel, Piper, Olivia, Avery. I ate chinese food..\nOn 2015/04/14, On 2015/04/14, I took Ella on a date to a restaurant.\nOn 2015/04/15, I ate peanut-butter-jam for breakfast..\nOn 2015/04/15, I had chinese food for dinner with Kinsley, Avery, Eva, Claire, Piper, Rylee, Layla, Nevaeh, Olivia, Lydia, Piper, Hazel.\nOn 2015/04/16, I spent 26 minutes reading news today..\nOn 2015/04/17, I had lunch with Willow. I ate a burger..\nOn 2015/04/17, I spent 46 minutes reading news today..\nOn 2015/04/18, I had indian food for lunch with Andrew, Emily, Kayden, Carter.\nOn 2015/04/18, I talked to Layla for 46 minutes late in the evening..\nOn 2015/04/19, I watched a documentary for 46 minutes on TV today..\nOn 2015/04/22, I prepare sandwich for dinner..\nOn 2015/04/23, I had chinese food for lunch with Hazel, Nora, Piper, Eva, Olivia, Lydia, Claire, Nevaeh, Piper, Kinsley, Layla.\nOn 2015/04/23, I spent 36 talking to Lydia, Kinsley on various topics in the late afternoon..\nOn 2015/04/24, I spent 41 minutes reading a book today..\nOn 2015/04/25, I spent 54 talking to Claire, Lydia, Layla on various topics in the morning..\nOn 2015/04/25, I spent 40 minutes watching a documentary on TV today..\nOn 2015/04/26, I spent 6 minutes on a book today..\nOn 2015/04/27, I prepare sandwich for lunch..\nOn 2015/04/28, I prepare pancakes for breakfast..\nOn 2015/04/28, I watched a tv series for 29 minutes on TV today..\nOn 2015/04/29, I had dinner. I ate fish and chips..\nOn 2015/04/29, I spent 40 minutes on social media today..\nOn 2015/05/01, I had lunch with Emily, Andrew, Kayden, Carter. I ate a burger..\nOn 2015/05/02, I bought some apricots, orange juice, sports drinks, soda, apple juice, shampoo, toilet paper, mouthwash, toothbrush online..\nOn 2015/05/02, I had breakfast with Piper, Lydia, Avery, Layla, Eva, Hazel, Olivia. I ate pancakes..\nOn 2015/05/03, I spent 43 minutes on a book today..\nOn 2015/05/04, I had dinner with Kayden, Emily, Carter, Andrew. I ate sushi..\nOn 2015/05/04, I talked to Nevaeh, Eva, Piper, Olivia for 52 minutes in the early evening..\nOn 2015/05/04, I spent 10 minutes reading news today..\nOn 2015/05/05, I had breakfast with Emily, Carter, Kayden. I ate eggs, sausages, and bread..\nOn 2015/05/06, I spent 29 talking to Lydia, Nevaeh, Layla, Piper on various topics in the early evening..\nOn 2015/05/07, I had breakfast. I ate peanut-butter-jam..\nOn 2015/05/07, I ate sandwich for dinner..\nOn 2015/05/07, I spent 36 talking to Kinsley on various topics late in the evening..\nOn 2015/05/08, I had lunch with Kayden, Carter, Andrew. I ate steak..\nOn 2015/05/08, I had dinner. I ate sandwich..\nOn 2015/05/09, I spent 17 minutes watching a tv series on TV today..\nOn 2015/05/10, I watched a tv series for 39 minutes on TV today..\nOn 2015/05/11, I spent 6 minutes reading news today..\nOn 2015/05/13, I did swimming on 2015/05/13..\nOn 2015/05/13, I spent 23 minutes on social media today..\nOn 2015/05/14, I had dinner. I ate tacos..\nOn 2015/05/14, I spent 41 talking to Olivia, Hazel, Rylee, Piper on various topics late in the evening..\nOn 2015/05/15, I went on a date with Nora on 2015/05/15 at a park.\nOn 2015/05/16, I did weight lifting on 2015/05/16..\nOn 2015/05/17, I had lunch with Avery, Benjamin, Jackson, Willow. I ate steak..\nOn 2015/05/17, I spent 32 talking to Layla, Kinsley on various topics in the late afternoon..\nOn 2015/05/18, I had dinner with Kayden. I ate pasta..\nOn 2015/05/18, I spent 39 talking to Piper on various topics in the morning..\nOn 2015/05/20, I spent 41 minutes watching news on TV today..\nOn 2015/05/21, I spent 54 talking to Claire, Eva, Lydia on various topics in the early evening..\nOn 2015/05/22, I watched a movie for 41 minutes on TV today..\nOn 2015/05/23, I spent some time meditation on 2015/05/23..\nOn 2015/05/23, I talked to Nora, Eva, Nevaeh, Layla for 50 minutes in the early evening..\nOn 2015/05/23, I spent 7 minutes on social media today..\nOn 2015/05/23, I spent 28 minutes watching a tv series on TV today..\nOn 2015/05/24, I really enjoyed working out on 2015/05/24.\nOn 2015/05/24, I prepare peanut-butter-jam for breakfast..\nOn 2015/05/26, On 2015/05/26, I took Brooklyn on a date to a boba shop.\nOn 2015/05/26, I ate eggs, sausages, and bread for breakfast..\nOn 2015/05/26, I talked to Piper, Olivia for 27 minutes in the early evening..\nOn 2015/05/27, I did swimming on 2015/05/27..\nOn 2015/05/27, I ate cereals for breakfast..\nOn 2015/05/27, I had lunch with Avery. I ate sandwich..\nOn 2015/05/27, I spent 50 minutes on a book today..\nOn 2015/05/29, I did hiking on 2015/05/29..\nOn 2015/05/29, I spent 33 minutes watching news on TV today..\nOn 2015/05/30, I had a burger for lunch with Layla, Eva, Nevaeh, Lydia, Rylee, Avery.\nOn 2015/05/31, I had lunch with Kayden, Emily, Andrew, Carter. I ate steak..\nOn 2015/06/01, I had a burger for lunch with Claire, Rylee, Eva, Nora, Piper, Avery.\nOn 2015/06/01, I spent 8 minutes watching news on TV today..\nOn 2015/06/03, I spent some time learning a language on 2015/06/03..\nOn 2015/06/04, I did hiking on 2015/06/04..\nOn 2015/06/04, I prepare sushi for dinner..\nOn 2015/06/04, I talked to Lydia, Rylee, Piper, Hazel for 51 minutes in the late afternoon..\nOn 2015/06/05, I had lunch. I ate fish and chips..\nOn 2015/06/05, I spent 55 minutes on news today..\nOn 2015/06/05, I watched a tv series for 28 minutes on TV today..\nOn 2015/06/07, I had lunch with Carter, Andrew, Kayden, Emily. I ate pasta..\nOn 2015/06/08, I did swimming on 2015/06/08..\nOn 2015/06/09, I did HIIT on 2015/06/09..\nOn 2015/06/09, I had oatmeal for breakfast with Emily, Kayden, Carter.\nOn 2015/06/10, I prepare chinese food for dinner..\nOn 2015/06/10, I talked to Nora, Hazel, Piper for 35 minutes in the morning..\nOn 2015/06/11, I prepare sushi for dinner..\nOn 2015/06/11, I spent 14 minutes reading social media today..\nOn 2015/06/11, I watched a movie for 18 minutes on TV today..\nOn 2015/06/12, I prepare tacos for lunch..\nOn 2015/06/13, I did HIIT on 2015/06/13..\nOn 2015/06/13, I prepare peanut-butter-jam for breakfast..\nOn 2015/06/14, I did HIIT on 2015/06/14..\nOn 2015/06/15, I spent 5 minutes reading a book today..\nOn 2015/06/16, I spent some time gardening on 2015/06/16..\nOn 2015/06/16, I prepare oatmeal for breakfast..\nOn 2015/06/17, I spent 29 minutes reading a book today..\nOn 2015/06/18, I ate oatmeal for breakfast..\nOn 2015/06/18, I had dinner. I ate sandwich..\nOn 2015/06/19, I spent 52 minutes watching a documentary on TV today..\nOn 2015/06/21, I watched news for 18 minutes on TV today..\nOn 2015/06/22, I went grocery shopping with Andrew, Carter. I bought some guava, apricots, strawberries, raspberries, sports drinks, guava juice, coffee, orange juice, and mouthwash, toilet paper, toothpaste.\nOn 2015/06/22, I had breakfast with Hazel, Rylee, Avery, Nevaeh, Nora. I ate oatmeal..\nOn 2015/06/22, I spent 37 minutes on social media today..\nOn 2015/06/23, I had indian food for dinner with Kayden, Andrew, Carter.\nOn 2015/06/23, I spent 28 minutes on social media today..\nOn 2015/06/23, I watched a movie for 50 minutes on TV today..\nOn 2015/06/25, I went grocery shopping with Avery. I bought some blueberries, bananas, pineapples, guava juice, and mouthwash, body lotion, paper towel, shaving cream.\nOn 2015/06/25, I did weight lifting on 2015/06/25..\nOn 2015/06/25, I had oatmeal for breakfast with Claire, Eva.\nOn 2015/06/25, I had lunch. I ate pasta..\nOn 2015/06/26, I spent 42 talking to Nora, Olivia, Eva on various topics in the early evening..\nOn 2015/06/27, I spent 43 minutes watching news on TV today..\nOn 2015/06/28, I had lunch with Benjamin, Jackson, Avery, Willow. I ate sushi..\nOn 2015/06/28, I had tacos for dinner with Rylee, Olivia.\nOn 2015/06/29, I did hiking on 2015/06/29..\nOn 2015/06/30, I had dinner with Layla, Piper, Avery, Claire, Hazel, Piper. I ate a burger..\nOn 2015/07/01, I spent some time meditation on 2015/07/01..\nOn 2015/07/01, I did hiking on 2015/07/01..\nOn 2015/07/01, I watched a documentary for 27 minutes on TV today..\nOn 2015/07/02, I had breakfast. I ate eggs, sausages, and bread..\nOn 2015/07/02, I talked to Eva, Layla for 12 minutes in the late afternoon..\nOn 2015/07/02, I spent 20 minutes reading social media today..\nOn 2015/07/03, I had lunch. I ate chinese food..\nOn 2015/07/04, I had breakfast. I ate oatmeal..\nOn 2015/07/05, I went grocery shopping. I bought some blackberries, guava, pears, cherres, mango juice, tea, and toothpaste, shampoo.\nOn 2015/07/05, I had peanut-butter-jam for breakfast with Kayden.\nOn 2015/07/05, I had tacos for lunch with Nora, Claire, Piper, Eva, Lydia, Avery, Layla.\nOn 2015/07/05, I spent 32 minutes on news today..\nOn 2015/07/05, I spent 45 minutes watching a movie on TV today..\nOn 2015/07/08, my parents for their and I went for an annual physical checkup at the university hospital on 2015/07/08..\nOn 2015/07/08, I had breakfast. I ate peanut-butter-jam..\nOn 2015/07/08, I had lunch. I ate a burger..\nOn 2015/07/08, I spent 12 talking to Layla on various topics in the early evening..\nOn 2015/07/09, I had lunch with Benjamin, Avery. I ate chinese food..\nOn 2015/07/09, I talked to Nora, Olivia, Hazel for 11 minutes in the morning..\nOn 2015/07/10, I spent 14 minutes watching a documentary on TV today..\nOn 2015/07/12, I had dinner. I ate a burger..\nOn 2015/07/12, I spent 9 talking to Eva on various topics in the late afternoon..\nOn 2015/07/13, On 2015/07/13, I took Victoria on a date to a park.\nOn 2015/07/13, I had lunch. I ate indian food..\nOn 2015/07/13, I spent 49 minutes reading a book today..\nOn 2015/07/14, I did hiking on 2015/07/14..\nOn 2015/07/14, I had lunch. I ate pasta..\nOn 2015/07/15, I had dinner with Emily, Carter. I ate pasta..\nOn 2015/07/16, I ate oatmeal for breakfast..\nOn 2015/07/16, I had lunch with Andrew, Kayden. I ate sandwich..\nOn 2015/07/17, I spent time yoga on 2015/07/17 with Eva, Nevaeh, Rylee..\nOn 2015/07/17, I did swimming on 2015/07/17..\nOn 2015/07/17, I had lunch with Emily, Andrew, Carter. I ate tacos..\nOn 2015/07/17, I watched news for 33 minutes on TV today..\nOn 2015/07/19, I talked to Piper, Rylee, Olivia for 18 minutes late in the evening..\nOn 2015/07/19, I watched a tv series for 30 minutes on TV today..\nOn 2015/07/20, I did HIIT on 2015/07/20..\nOn 2015/07/20, I had lunch. I ate tacos..\nOn 2015/07/21, I really enjoyed learning a language on 2015/07/21.\nOn 2015/07/22, I had sushi for lunch with Kayden, Emily.\nOn 2015/07/22, I spent 33 minutes watching a documentary on TV today..\nOn 2015/07/23, I had breakfast. I ate eggs, sausages, and bread..\nOn 2015/07/24, I did swimming on 2015/07/24..\nOn 2015/07/25, I had eggs, sausages, and bread for breakfast with Claire, Piper, Nora, Eva.\nOn 2015/07/25, I prepare pasta for dinner..\nOn 2015/07/26, I did HIIT on 2015/07/26..\nOn 2015/07/26, I spent 22 minutes watching a movie on TV today..\nOn 2015/07/27, I did weight lifting on 2015/07/27..\nOn 2015/07/27, I spent 39 minutes watching a documentary on TV today..\nOn 2015/07/29, I prepare a burger for lunch..\nOn 2015/07/29, I talked to Avery, Nora, Eva, Olivia for 40 minutes during lunch hours..\nOn 2015/07/29, I watched news for 22 minutes on TV today..\nOn 2015/07/30, I really enjoyed gardening on 2015/07/30.\nOn 2015/07/30, I ate chinese food for lunch..\nOn 2015/07/31, On 2015/07/31, I took Aubrey on a date to a coffee Shop.\nOn 2015/07/31, I ate pancakes for breakfast..\nOn 2015/07/31, I spent 32 talking to Eva, Olivia on various topics in the morning..\nOn 2015/08/01, I had pancakes for breakfast with Kayden, Emily, Andrew.\nOn 2015/08/02, On 2015/08/02, I took Jaxon on a date to a boba shop.\nOn 2015/08/02, I talked to Avery, Piper for 13 minutes in the early afternoon..\nOn 2015/08/02, I watched a tv series for 55 minutes on TV today..\nOn 2015/08/03, I had toast and cheese for breakfast with Willow, Benjamin, Jackson, Avery.\nOn 2015/08/04, I went grocery shopping. I bought some apricots, cherres, blueberries, coffee, and conditioner, facial wash, mouth wash.\nOn 2015/08/04, I had breakfast. I ate oatmeal..\nOn 2015/08/05, I had lunch with Benjamin, Jackson, Avery. I ate a burger..\nOn 2015/08/05, I spent 33 minutes on social media today..\nOn 2015/08/06, I had sushi for lunch with Emily.\nOn 2015/08/07, I did HIIT on 2015/08/07..\nOn 2015/08/08, I ate sandwich for lunch..\nOn 2015/08/10, I had breakfast. I ate pancakes..\nOn 2015/08/10, I talked to Rylee for 25 minutes in the morning..\nOn 2015/08/11, I had breakfast with Claire, Piper, Kinsley, Layla. I ate toast and cheese..\nOn 2015/08/12, I ate fish and chips for dinner..\nOn 2015/08/13, I had steak for dinner with Emily, Kayden.\nOn 2015/08/13, I watched a documentary for 8 minutes on TV today..\nOn 2015/08/14, I did running on 2015/08/14..\nOn 2015/08/15, I had dinner with Willow, Benjamin. I ate chinese food..\nOn 2015/08/15, I spent 30 talking to Piper, Lydia on various topics in the late afternoon..\nOn 2015/08/15, I spent 15 minutes on news today..\nOn 2015/08/16, I talked to Eva, Olivia, Claire, Nora for 32 minutes during lunch hours..\nOn 2015/08/16, I spent 20 minutes watching a documentary on TV today..\nOn 2015/08/17, I went grocery shopping with Eva, Hazel, Claire, Layla, Rylee, Nevaeh, Lydia, Piper, Kinsley, Piper, Avery. I bought some mangos, cherres, bananas, milk, tea, sports drinks, and mouth wash, paper towel, toilet paper, conditioner.\nOn 2015/08/17, I did weight lifting on 2015/08/17..\nOn 2015/08/17, I spent 33 minutes reading news today..\nOn 2015/08/18, I did HIIT on 2015/08/18..\nOn 2015/08/18, I had breakfast. I ate cereals..\nOn 2015/08/18, I spent 33 minutes reading social media today..\nOn 2015/08/19, On 2015/08/19, I took Ariana on a date to a coffee Shop.\nOn 2015/08/19, I ate a burger for dinner..\nOn 2015/08/20, I prepare tacos for dinner..\nOn 2015/08/20, I spent 39 talking to Hazel, Piper, Lydia on various topics late in the evening..\nOn 2015/08/21, I did running on 2015/08/21..\nOn 2015/08/21, I prepare oatmeal for breakfast..\nOn 2015/08/21, I ate pasta for lunch..\nOn 2015/08/21, I talked to Piper, Rylee, Olivia, Piper for 54 minutes in the morning..\nOn 2015/08/21, I watched news for 51 minutes on TV today..\nOn 2015/08/22, I watched news for 46 minutes on TV today..\nOn 2015/08/23, I spent 9 minutes on news today..\nOn 2015/08/23, I watched a movie for 50 minutes on TV today..\nOn 2015/08/24, I had peanut-butter-jam for breakfast with Layla, Nora, Lydia, Avery, Olivia, Piper.\nOn 2015/08/24, I prepare sandwich for lunch..\nOn 2015/08/25, I did hiking on 2015/08/25..\nOn 2015/08/26, I bought some watermelons, cherres, clementines, raspberries, mango juice, toilet paper, mouthwash, shampoo online..\nOn 2015/08/26, I ate tacos for dinner..\nOn 2015/08/26, I talked to Nevaeh, Olivia, Nora for 45 minutes in the morning..\nOn 2015/08/26, I spent 37 minutes reading social media today..\nOn 2015/08/27, I ate cereals for breakfast..\nOn 2015/08/27, I spent 26 minutes on social media today..\nOn 2015/08/29, I went grocery shopping. I bought some peaches, guava, raspberries, clementines, milk, mango juice, soda, and mouthwash, mouth wash.\nOn 2015/08/30, I talked to Lydia for 54 minutes in the morning..\nOn 2015/08/31, I went grocery shopping with Andrew, Carter, Emily. I bought some cherres, blackberries, bananas, apples, chocolate milk, sports drinks, tea, coffee, and mouth wash, shampoo, facial wash.\nOn 2015/08/31, I spent 32 talking to Kinsley, Claire on various topics in the early afternoon..\nOn 2015/09/01, I ate steak for lunch..\nOn 2015/09/01, I spent 6 minutes on social media today..\nOn 2015/09/02, I had tacos for lunch with Carter, Emily.\nOn 2015/09/03, I talked to Nevaeh for 48 minutes in the early evening..\nOn 2015/09/04, I did swimming on 2015/09/04..\nOn 2015/09/04, I ate toast and cheese for breakfast..\nOn 2015/09/04, I prepare pasta for dinner..\nOn 2015/09/04, I spent 31 minutes on news today..\nOn 2015/09/06, On 2015/09/06, I took Silas on a date to a park.\nOn 2015/09/06, I had breakfast with Kayden. I ate eggs, sausages, and bread..\nOn 2015/09/08, I ate indian food for dinner..\nOn 2015/09/09, I did hiking on 2015/09/09..\nOn 2015/09/09, I ate eggs, sausages, and bread for breakfast..\nOn 2015/09/09, I had dinner with Rylee, Olivia. I ate sandwich..\nOn 2015/09/10, I did swimming on 2015/09/10..\nOn 2015/09/10, I ate cereals for breakfast..\nOn 2015/09/11, I spent 37 minutes reading a book today..\nOn 2015/09/12, I ate cereals for breakfast..\nOn 2015/09/12, I talked to Nevaeh, Piper for 33 minutes in the morning..\nOn 2015/09/14, I had oatmeal for breakfast with Emily, Kayden, Carter, Andrew.\nOn 2015/09/16, I spent 7 minutes on social media today..\nOn 2015/09/17, I prepare chinese food for dinner..\nOn 2015/09/18, I had chinese food for lunch with Layla, Rylee, Eva, Lydia, Claire, Piper, Piper, Nora.\nOn 2015/09/19, I had toast and cheese for breakfast with Carter, Andrew, Emily.\nOn 2015/09/19, I had dinner. I ate sushi..\nOn 2015/09/19, I spent 29 minutes watching news on TV today..\nOn 2015/09/20, I did swimming on 2015/09/20..\nOn 2015/09/20, I spent 49 minutes on social media today..\nOn 2015/09/21, I spent time yoga on 2015/09/21 with Carter, Andrew, Emily..\nOn 2015/09/21, I did hiking on 2015/09/21..\nOn 2015/09/21, I had breakfast. I ate oatmeal..\nOn 2015/09/22, I did hiking on 2015/09/22..\nOn 2015/09/23, I went grocery shopping with Claire, Eva, Nevaeh, Nora, Layla, Avery. I bought some blueberries, mangos, watermelons, oranges, sports drinks, mango juice, tea, and toothbrush, conditioner, body lotion.\nOn 2015/09/23, I had lunch. I ate sandwich..\nOn 2015/09/23, I talked to Piper, Rylee for 48 minutes in the late afternoon..\nOn 2015/09/23, I spent 9 minutes watching news on TV today..\nOn 2015/09/24, I had lunch. I ate tacos..\nOn 2015/09/24, I spent 11 minutes watching news on TV today..\nOn 2015/09/25, I talked to Rylee, Avery, Hazel, Nevaeh for 27 minutes during lunch hours..\nOn 2015/09/26, I spent 42 talking to Hazel on various topics in the late afternoon..\nOn 2015/09/26, I spent 52 minutes watching news on TV today..\nOn 2015/09/28, I went on a date with Mike on 2015/09/28 at a park.\nOn 2015/09/28, I spent 36 minutes watching news on TV today..\nOn 2015/09/29, I spent time gardening on 2015/09/29 with Emily, Kayden..\nOn 2015/09/29, I did biking on 2015/09/29..\nOn 2015/09/29, I ate eggs, sausages, and bread for breakfast..\nOn 2015/09/29, I spent 34 minutes watching news on TV today..\nOn 2015/09/30, I did weight lifting on 2015/09/30..\nOn 2015/09/30, I had sushi for lunch with Emily, Andrew, Kayden.\nOn 2015/10/01, I spent some time working out on 2015/10/01..\nOn 2015/10/01, I did weight lifting on 2015/10/01..\nOn 2015/10/02, I did HIIT on 2015/10/02..\nOn 2015/10/02, I had lunch with Olivia, Hazel, Nora, Layla. I ate indian food..\nOn 2015/10/03, I spent 54 minutes reading news today..\nOn 2015/10/05, I did hiking on 2015/10/05..\nOn 2015/10/06, I prepare chinese food for lunch..\nOn 2015/10/06, I spent 22 talking to Avery on various topics in the late afternoon..\nOn 2015/10/07, I did biking on 2015/10/07..\nOn 2015/10/07, I had breakfast. I ate peanut-butter-jam..\nOn 2015/10/07, I had sandwich for lunch with Piper, Layla, Avery, Eva.\nOn 2015/10/08, I went for an annual dental cleaning and checkup on 2015/10/08 at the university hospital..\nOn 2015/10/08, I did biking on 2015/10/08..\nOn 2015/10/08, I talked to Avery, Claire for 41 minutes in the early afternoon..\nOn 2015/10/10, I had lunch. I ate a burger..\nOn 2015/10/11, I bought some mandarins, guava, guava juice, pineapple juice, mineral water, milk, mouthwash online..\nOn 2015/10/11, I spent 38 minutes on a book today..\nOn 2015/10/13, I spent 26 minutes watching a documentary on TV today..\nOn 2015/10/14, I spent 49 talking to Layla, Avery, Piper, Claire on various topics in the morning..\nOn 2015/10/15, I prepare oatmeal for breakfast..\nOn 2015/10/15, I had lunch. I ate tacos..\nOn 2015/10/15, I spent 20 minutes watching a documentary on TV today..\nOn 2015/10/16, I did HIIT on 2015/10/16..\nOn 2015/10/16, I had lunch with Avery, Willow, Jackson. I ate pasta..\nOn 2015/10/16, I had dinner with Andrew, Kayden, Emily, Carter. I ate chinese food..\nOn 2015/10/16, I spent 9 talking to Claire on various topics late in the evening..\nOn 2015/10/17, I had breakfast. I ate toast and cheese..\nOn 2015/10/17, I had a burger for lunch with Avery, Jackson.\nOn 2015/10/17, I talked to Kinsley for 36 minutes during lunch hours..\nOn 2015/10/18, I did HIIT on 2015/10/18..\nOn 2015/10/18, I had dinner. I ate steak..\nOn 2015/10/19, On 2015/10/19, I took Mateo on a date to a restaurant.\nOn 2015/10/19, I spent 55 minutes watching a documentary on TV today..\nOn 2015/10/20, I did HIIT on 2015/10/20..\nOn 2015/10/20, I prepare sushi for lunch..\nOn 2015/10/22, I went grocery shopping. I bought some nectarines, guava, pineapples, watermelons, mango juice, tea, milk, chocolate milk, and mouthwash, shampoo.\nOn 2015/10/23, I talked to Claire, Hazel, Olivia, Nora for 49 minutes late in the evening..\nOn 2015/10/23, I watched news for 53 minutes on TV today..\nOn 2015/10/24, I ate eggs, sausages, and bread for breakfast..\nOn 2015/10/24, I talked to Eva for 26 minutes in the morning..\nOn 2015/10/24, I watched a tv series for 24 minutes on TV today..\nOn 2015/10/26, I went on a date with Madelyn on 2015/10/26 at a park.\nOn 2015/10/27, I bought some oranges, raspberries, strawberries, pears, soda, guava juice, mango juice, shaving cream online..\nOn 2015/10/28, I did swimming on 2015/10/28..\nOn 2015/10/28, I spent 28 talking to Layla on various topics late in the evening..\nOn 2015/10/28, I spent 44 minutes reading social media today..\nOn 2015/10/28, I watched a movie for 46 minutes on TV today..\nOn 2015/10/29, I did swimming on 2015/10/29..\nOn 2015/10/29, I spent 38 talking to Hazel, Rylee on various topics in the morning..\nOn 2015/10/30, I had dinner. I ate sushi..\nOn 2015/10/31, I watched a tv series for 15 minutes on TV today..\nOn 2015/11/01, I had breakfast. I ate eggs, sausages, and bread..\nOn 2015/11/01, I prepare sandwich for lunch..\nOn 2015/11/01, I talked to Kinsley, Olivia, Claire for 18 minutes in the morning..\nOn 2015/11/03, I had breakfast with Kayden, Andrew, Emily. I ate cereals..\nOn 2015/11/03, I had pasta for dinner with Willow, Jackson, Benjamin.\nOn 2015/11/03, I spent 54 minutes on social media today..\nOn 2015/11/03, I spent 49 minutes watching news on TV today..\nOn 2015/11/04, I talked to Claire, Kinsley, Layla, Nevaeh for 54 minutes during lunch hours..\nOn 2015/11/05, I did HIIT on 2015/11/05..\nOn 2015/11/06, I prepare fish and chips for dinner..\nOn 2015/11/06, I spent 9 talking to Nevaeh on various topics in the early afternoon..\nOn 2015/11/06, I spent 9 minutes on social media today..\nOn 2015/11/07, I had dinner. I ate indian food..\nOn 2015/11/07, I spent 34 talking to Hazel on various topics in the morning..\nOn 2015/11/08, I ate indian food for lunch..\nOn 2015/11/08, I talked to Nevaeh, Piper, Claire, Nora for 32 minutes late in the evening..\nOn 2015/11/09, On 2015/11/09, I took Hunter on a date to a restaurant.\nOn 2015/11/09, I spent 30 talking to Olivia, Avery, Piper, Rylee on various topics in the late afternoon..\nOn 2015/11/10, I spent 50 talking to Layla on various topics in the early afternoon..\nOn 2015/11/10, I spent 8 minutes on a book today..\nOn 2015/11/11, I did running on 2015/11/11..\nOn 2015/11/11, I had breakfast. I ate cereals..\nOn 2015/11/11, I talked to Layla, Rylee, Eva for 46 minutes in the late afternoon..\nOn 2015/11/12, I spent 37 minutes reading news today..\nOn 2015/11/13, I watched a documentary for 48 minutes on TV today..\nOn 2015/11/14, I ate pasta for dinner..\nOn 2015/11/15, I had steak for lunch with Eva, Rylee, Layla, Hazel.\nOn 2015/11/16, I did swimming on 2015/11/16..\nOn 2015/11/16, I ate indian food for lunch..\nOn 2015/11/16, I spent 44 minutes on social media today..\nOn 2015/11/17, I spent 8 talking to Kinsley, Piper, Eva, Hazel on various topics late in the evening..\nOn 2015/11/18, I had breakfast with Andrew, Kayden, Emily. I ate pancakes..\nOn 2015/11/19, I really enjoyed baking gluten-free apple rose tart, fig tarte tatin, birthday cupcakes with white wine buttercream on 2015/11/19 with Piper, Olivia, Kinsley, Hazel at my place.\nOn 2015/11/19, I had fish and chips for lunch with Andrew, Emily, Kayden.\nOn 2015/11/20, I had lunch with Claire. I ate chinese food..\nOn 2015/11/20, I had dinner. I ate chinese food..\nOn 2015/11/20, I spent 5 talking to Piper, Olivia on various topics in the early evening..\nOn 2015/11/21, I ate peanut-butter-jam for breakfast..\nOn 2015/11/21, I talked to Piper, Rylee for 25 minutes in the late afternoon..\nOn 2015/11/21, I spent 52 minutes reading news today..\nOn 2015/11/22, I spent 45 minutes reading news today..\nOn 2015/11/24, I went on a date with Jonathan on 2015/11/24 at a boba shop.\nOn 2015/11/24, I had sandwich for lunch with Emily, Kayden, Carter.\nOn 2015/11/24, I had tacos for dinner with Kayden.\nOn 2015/11/24, I spent 55 minutes reading a book today..\nOn 2015/11/25, I spent 53 minutes on a book today..\nOn 2015/11/26, I did weight lifting on 2015/11/26..\nOn 2015/11/26, I spent 26 talking to Lydia, Olivia, Nevaeh on various topics in the morning..\nOn 2015/11/27, I spent 29 minutes reading a book today..\nOn 2015/11/28, I had steak for lunch with Willow.\nOn 2015/11/28, I talked to Avery, Olivia for 54 minutes late in the evening..\nOn 2015/11/28, I spent 32 minutes on a book today..\nOn 2015/11/29, I prepare oatmeal for breakfast..\nOn 2015/11/30, I did running on 2015/11/30..\nOn 2015/12/01, I had eggs, sausages, and bread for breakfast with Rylee, Claire, Nora, Lydia, Nevaeh, Hazel, Layla, Kinsley, Eva, Olivia, Avery.\nOn 2015/12/01, I spent 9 talking to Piper, Rylee, Eva, Nevaeh on various topics in the early afternoon..\nOn 2015/12/02, I did hiking on 2015/12/02..\nOn 2015/12/02, I had pancakes for breakfast with Claire, Layla.\nOn 2015/12/02, I prepare a burger for lunch..\nOn 2015/12/02, I spent 22 minutes watching news on TV today..\nOn 2015/12/03, I had chinese food for dinner with Nevaeh.\nOn 2015/12/03, I spent 44 talking to Kinsley, Piper on various topics during lunch hours..\nOn 2015/12/03, I spent 53 minutes on a book today..\nOn 2015/12/04, On 2015/12/04, I took Silas on a date to a restaurant.\nOn 2015/12/04, I had breakfast. I ate oatmeal..\nOn 2015/12/04, I had dinner. I ate pasta..\nOn 2015/12/05, I bought some pears, clementines, oranges, apples, coffee, mouthwash, body lotion, mouth wash, shaving cream from the grocery store. I saw Lydia, Piper, Avery, Layla, Olivia, Piper, Nevaeh, Kinsley at the grocery store..\nOn 2015/12/05, I had cereals for breakfast with Benjamin, Willow.\nOn 2015/12/05, I ate a burger for lunch..\nOn 2015/12/05, I spent 9 talking to Avery, Layla, Rylee on various topics during lunch hours..\nOn 2015/12/05, I spent 17 minutes on a book today..\nOn 2015/12/06, I did HIIT on 2015/12/06..\nOn 2015/12/06, I spent 15 minutes watching a documentary on TV today..\nOn 2015/12/07, On 2015/12/07, I took Lydia on a date to a park.\nOn 2015/12/07, I had lunch with Andrew. I ate tacos..\nOn 2015/12/07, I spent 15 talking to Rylee, Nevaeh, Layla, Eva on various topics late in the evening..\nOn 2015/12/07, I spent 53 minutes reading a book today..\nOn 2015/12/08, I bought some peaches, apricots, mandarins, oranges, milk, shampoo, conditioner, toilet paper, shaving cream online..\nOn 2015/12/08, I had breakfast. I ate oatmeal..\nOn 2015/12/08, I watched news for 8 minutes on TV today..\nOn 2015/12/09, I had lunch with Rylee. I ate pasta..\nOn 2015/12/09, I talked to Lydia, Kinsley, Piper, Rylee for 13 minutes in the late afternoon..\nOn 2015/12/10, I had breakfast. I ate toast and cheese..\nOn 2015/12/10, I spent 17 minutes on news today..\nOn 2015/12/11, I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some apples, pears, mandarins, soda, sports drinks, tea, chocolate milk, and toothbrush, mouth wash.\nOn 2015/12/11, I had lunch with Nevaeh. I ate indian food..\nOn 2015/12/11, I prepare fish and chips for dinner..\nOn 2015/12/11, I spent 14 talking to Olivia, Nora, Layla on various topics in the morning..\nOn 2015/12/12, I went on a date with Benjamin on 2015/12/12 at a coffee Shop.\nOn 2015/12/12, I ate fish and chips for lunch..\nOn 2015/12/12, I spent 15 talking to Nora, Hazel, Kinsley on various topics in the morning..\nOn 2015/12/14, I prepare fish and chips for lunch..\nOn 2015/12/15, I went on a date with Jaxson on 2015/12/15 at a restaurant.\nOn 2015/12/15, I ate eggs, sausages, and bread for breakfast..\nOn 2015/12/15, I had a burger for lunch with Avery, Willow.\nOn 2015/12/15, I spent 34 minutes on news today..\nOn 2015/12/16, I had cereals for breakfast with Jackson, Willow.\nOn 2015/12/16, I spent 47 talking to Avery on various topics during lunch hours..\nOn 2015/12/18, I ate sandwich for lunch..\nOn 2015/12/18, I talked to Eva, Nevaeh, Piper for 26 minutes in the early evening..\nOn 2015/12/18, I spent 14 minutes watching a movie on TV today..\nOn 2015/12/19, I had lunch. I ate fish and chips..\nOn 2015/12/20, I had dinner with Andrew, Emily, Kayden, Carter. I ate indian food..\nOn 2015/12/20, I talked to Avery, Nevaeh for 26 minutes late in the evening..\nOn 2015/12/20, I watched news for 51 minutes on TV today..\nOn 2015/12/22, I talked to Nora, Lydia, Rylee, Olivia for 38 minutes in the morning..\nOn 2015/12/23, I did biking on 2015/12/23..\nOn 2015/12/23, I had dinner. I ate a burger..\nOn 2015/12/23, I spent 53 talking to Piper, Layla on various topics in the early evening..\nOn 2015/12/24, I had breakfast with Carter. I ate toast and cheese..\nOn 2015/12/24, I spent 19 minutes on a book today..\nOn 2015/12/24, I watched a tv series for 32 minutes on TV today..\nOn 2015/12/25, I went on a date with Aaliyah on 2015/12/25 at a coffee Shop.\nOn 2015/12/25, I talked to Layla, Eva, Nora, Hazel for 52 minutes late in the evening..\nOn 2015/12/25, I spent 41 minutes on news today..\nOn 2015/12/26, I had eggs, sausages, and bread for breakfast with Kayden, Emily, Andrew, Carter.\nOn 2015/12/26, I prepare chinese food for dinner..\nOn 2015/12/27, I spent time meditation on 2015/12/27 with Nevaeh, Piper, Eva..\nOn 2015/12/27, I bought some strawberries, coffee, mouth wash from the grocery store. I saw Andrew, Emily, Carter, Kayden at the grocery store..\nOn 2015/12/27, I did biking on 2015/12/27..\nOn 2015/12/27, I had toast and cheese for breakfast with Avery, Jackson, Willow, Benjamin.\nOn 2015/12/27, I prepare fish and chips for lunch..\nOn 2015/12/27, I had chinese food for dinner with Avery.\nOn 2015/12/28, I went on a date with Elena on 2015/12/28 at a park.\nOn 2015/12/28, I had lunch. I ate sandwich..\nOn 2015/12/28, I spent 46 talking to Olivia, Piper, Rylee, Eva on various topics in the early evening..\nOn 2015/12/28, I watched news for 39 minutes on TV today..\nOn 2015/12/29, I did hiking on 2015/12/29..\nOn 2015/12/30, I did weight lifting on 2015/12/30..\nOn 2015/12/30, I had dinner. I ate a burger..\nOn 2015/12/30, I talked to Hazel, Kinsley for 10 minutes in the morning..\nOn 2015/12/30, I spent 28 minutes reading social media today..\nOn 2015/12/30, I watched a tv series for 50 minutes on TV today..\nOn 2015/12/31, I ate peanut-butter-jam for breakfast..\nOn 2015/12/31, I spent 17 minutes reading a book today..\nOn 2016/01/01, I had lunch. I ate sushi..\nOn 2016/01/03, I spent 15 talking to Claire on various topics in the early evening..\nOn 2016/01/05, I had lunch with Andrew, Kayden, Carter. I ate steak..\nOn 2016/01/06, I did weight lifting on 2016/01/06..\nOn 2016/01/06, I spent 26 minutes reading news today..\nOn 2016/01/06, I watched news for 42 minutes on TV today..\nOn 2016/01/07, I did weight lifting on 2016/01/07..\nOn 2016/01/07, I had indian food for dinner with Andrew, Carter.\nOn 2016/01/07, I spent 36 talking to Hazel, Claire, Piper on various topics in the early evening..\nOn 2016/01/08, I spent 39 minutes on a book today..\nOn 2016/01/09, I did HIIT on 2016/01/09..\nOn 2016/01/09, I ate cereals for breakfast..\nOn 2016/01/09, I talked to Nevaeh, Avery, Eva, Claire for 18 minutes in the early afternoon..\nOn 2016/01/10, I had lunch with Piper, Kinsley, Lydia, Eva, Claire, Rylee, Hazel, Avery, Piper, Layla, Nevaeh, Nora, Olivia. I ate sushi..\nOn 2016/01/10, I spent 25 minutes on social media today..\nOn 2016/01/10, I spent 14 minutes watching a documentary on TV today..\nOn 2016/01/11, I talked to Piper, Kinsley for 10 minutes during lunch hours..\nOn 2016/01/11, I watched a documentary for 40 minutes on TV today..\nOn 2016/01/12, I went on a date with Naomi on 2016/01/12 at a boba shop.\nOn 2016/01/12, I had dinner. I ate a burger..\nOn 2016/01/13, I spent time yoga on 2016/01/13 with Kayden, Carter, Emily..\nOn 2016/01/13, I had lunch with Emily, Carter, Andrew, Kayden. I ate tacos..\nOn 2016/01/13, I spent 7 minutes watching a documentary on TV today..\nOn 2016/01/14, I had breakfast with Claire, Layla, Hazel, Avery, Lydia, Rylee, Piper, Olivia. I ate cereals..\nOn 2016/01/14, I had lunch. I ate sushi..\nOn 2016/01/14, I had a burger for dinner with Benjamin, Willow, Jackson.\nOn 2016/01/15, I had dinner with Kinsley, Olivia, Nevaeh, Eva, Layla, Lydia, Rylee, Claire, Hazel, Avery. I ate sandwich..\nOn 2016/01/15, I spent 5 minutes watching a tv series on TV today..\nOn 2016/01/16, I prepare pasta for lunch..\nOn 2016/01/16, I talked to Kinsley for 39 minutes during lunch hours..\nOn 2016/01/16, I spent 32 minutes reading a book today..\nOn 2016/01/16, I spent 48 minutes watching a tv series on TV today..\nOn 2016/01/17, I watched a movie for 11 minutes on TV today..\nOn 2016/01/18, I had breakfast. I ate pancakes..\nOn 2016/01/18, I spent 14 minutes reading news today..\nOn 2016/01/19, I watched a tv series for 11 minutes on TV today..\nOn 2016/01/20, I went grocery shopping with Carter, Andrew. I bought some peaches, sports drinks, and shampoo.\nOn 2016/01/20, I spent 50 minutes watching a documentary on TV today..\nOn 2016/01/22, I went grocery shopping. I bought some oranges, mango juice, pineapple juice, and facial wash, mouth wash, toothpaste, body lotion.\nOn 2016/01/22, I talked to Layla, Piper, Nora, Piper for 16 minutes in the early afternoon..\nOn 2016/01/23, I had a burger for dinner with Hazel, Eva, Layla.\nOn 2016/01/24, I spent 21 minutes on social media today..\nOn 2016/01/25, I went on a date with Claire on 2016/01/25 at a boba shop.\nOn 2016/01/25, I really enjoyed working out on 2016/01/25.\nOn 2016/01/25, I bought some guava, oranges, apple juice, paper towel, toothpaste from the grocery store. I saw Piper, Layla, Nevaeh, Olivia at the grocery store..\nOn 2016/01/25, I had oatmeal for breakfast with Kayden.\nOn 2016/01/25, I talked to Kinsley for 24 minutes in the early evening..\nOn 2016/01/26, I did HIIT on 2016/01/26..\nOn 2016/01/26, I ate toast and cheese for breakfast..\nOn 2016/01/28, I really enjoyed baking cinnamon sheet cake with cider frosting, cranberry apple danish, giant cinnamon roll on 2016/01/28 with Andrew, Carter, Emily at my place.\nOn 2016/01/28, I prepare tacos for dinner..\nOn 2016/01/29, I did weight lifting on 2016/01/29..\nOn 2016/01/29, I spent 47 talking to Kinsley, Layla, Lydia, Avery on various topics in the early afternoon..\nOn 2016/01/29, I spent 36 minutes reading news today..\nOn 2016/01/29, I watched a tv series for 34 minutes on TV today..\nOn 2016/01/30, I had breakfast with Willow, Jackson. I ate eggs, sausages, and bread..\nOn 2016/01/30, I had lunch with Lydia, Layla, Claire, Rylee, Nora. I ate chinese food..\nOn 2016/01/30, I spent 51 minutes reading news today..\nOn 2016/01/31, I did swimming on 2016/01/31..\nOn 2016/01/31, I spent 20 minutes reading news today..\nOn 2016/02/01, I really enjoyed baking peanut butter cookies, blackberry jam pie-crust straws, easy chocolate marshmallow cups on 2016/02/01 with Avery at my place.\nOn 2016/02/01, On 2016/02/01, I took Nova on a date to a restaurant.\nOn 2016/02/01, I did swimming on 2016/02/01..\nOn 2016/02/02, I did weight lifting on 2016/02/02..\nOn 2016/02/02, I had steak for lunch with Carter, Emily, Kayden.\nOn 2016/02/02, I had steak for dinner with Piper, Piper, Eva, Claire, Avery.\nOn 2016/02/02, I spent 25 minutes watching news on TV today..\nOn 2016/02/03, I had breakfast with Carter, Kayden, Andrew, Emily. I ate oatmeal..\nOn 2016/02/03, I talked to Olivia, Layla, Piper for 50 minutes in the late afternoon..\nOn 2016/02/03, I spent 46 minutes on news today..\nOn 2016/02/03, I spent 54 minutes watching a tv series on TV today..\nOn 2016/02/04, I ate pancakes for breakfast..\nOn 2016/02/04, I had sushi for dinner with Hazel.\nOn 2016/02/04, I spent 48 minutes reading news today..\nOn 2016/02/05, I bought some blueberries, pears, bananas, pineapples, mango juice, guava juice, shaving cream, body lotion online..\nOn 2016/02/06, I spent 25 talking to Nora on various topics in the late afternoon..\nOn 2016/02/06, I spent 14 minutes watching a movie on TV today..\nOn 2016/02/07, I prepare fish and chips for dinner..\nOn 2016/02/09, I bought some mangos, pears, raspberries, mango juice, mouthwash from the grocery store. I saw Eva, Kinsley, Piper, Nora, Claire, Hazel, Avery, Lydia, Olivia, Nevaeh, Rylee at the grocery store..\nOn 2016/02/09, I talked to Eva, Olivia, Hazel, Piper for 27 minutes late in the evening..\nOn 2016/02/10, I spent 18 talking to Rylee on various topics late in the evening..\nOn 2016/02/11, I had cereals for breakfast with Benjamin, Jackson, Avery, Willow.\nOn 2016/02/12, I went grocery shopping with Piper, Rylee, Olivia, Eva, Avery, Layla, Nevaeh, Hazel, Lydia, Kinsley. I bought some watermelons, clementines, cherres, apricots, milk, chocolate milk, mango juice, and shampoo, conditioner, body lotion, facial wash.\nOn 2016/02/12, I had dinner. I ate sandwich..\nOn 2016/02/13, I had lunch with Willow, Avery, Jackson. I ate steak..\nOn 2016/02/14, I spent some time gardening on 2016/02/14..\nOn 2016/02/14, I spent 26 minutes on social media today..\nOn 2016/02/16, I bought some pineapples, chocolate milk, milk, mango juice, mouthwash online..\nOn 2016/02/16, I prepare fish and chips for lunch..\nOn 2016/02/17, I had lunch with Kayden, Carter, Emily. I ate sushi..\nOn 2016/02/17, I spent 46 minutes watching a documentary on TV today..\nOn 2016/02/18, I spent 29 minutes watching news on TV today..\nOn 2016/02/19, I did hiking on 2016/02/19..\nOn 2016/02/19, I prepare peanut-butter-jam for breakfast..\nOn 2016/02/20, I had dinner. I ate sandwich..\nOn 2016/02/21, I did hiking on 2016/02/21..\nOn 2016/02/21, I spent 52 talking to Olivia, Nora on various topics late in the evening..\nOn 2016/02/22, I went on a date with Naomi on 2016/02/22 at a park.\nOn 2016/02/22, I spent 35 talking to Piper, Claire, Rylee on various topics during lunch hours..\nOn 2016/02/23, I prepare cereals for breakfast..\nOn 2016/02/23, I had tacos for lunch with Nora, Lydia, Piper, Eva, Claire, Nevaeh, Hazel, Kinsley, Olivia, Piper.\nOn 2016/02/23, I talked to Lydia, Avery, Eva, Kinsley for 22 minutes in the morning..\nOn 2016/02/24, I bought some cherres, blueberries, bananas, orange juice, mineral water, soda, toothpaste, shaving cream, toothbrush, body lotion from the grocery store. I saw Nevaeh, Eva, Hazel, Claire, Avery, Layla, Kinsley at the grocery store..\nOn 2016/02/24, I talked to Hazel, Claire, Olivia for 17 minutes late in the evening..\nOn 2016/02/24, I spent 54 minutes on news today..\nOn 2016/02/26, I had dinner. I ate tacos..\nOn 2016/02/26, I talked to Layla, Piper for 41 minutes during lunch hours..\nOn 2016/02/27, I did biking on 2016/02/27..\nOn 2016/02/27, I spent 6 minutes watching a documentary on TV today..\nOn 2016/02/28, I had breakfast with Emily. I ate oatmeal..\nOn 2016/02/28, I spent 45 minutes reading a book today..\nOn 2016/02/29, I spent 27 minutes watching a tv series on TV today..\nOn 2016/03/01, I bought some oranges, blackberries, apricots, strawberries, tea, mineral water, conditioner, facial wash from the grocery store. I saw Claire, Hazel, Avery, Lydia at the grocery store..\nOn 2016/03/01, I had dinner. I ate sushi..\nOn 2016/03/02, I went on a date with Wesley on 2016/03/02 at a coffee Shop.\nOn 2016/03/02, I had dinner with Carter, Andrew, Kayden. I ate sushi..\nOn 2016/03/02, I watched a documentary for 36 minutes on TV today..\nOn 2016/03/03, I prepare pancakes for breakfast..\nOn 2016/03/04, I did running on 2016/03/04..\nOn 2016/03/05, I did running on 2016/03/05..\nOn 2016/03/05, I had indian food for lunch with Kayden, Carter, Emily.\nOn 2016/03/05, I spent 35 minutes watching news on TV today..\nOn 2016/03/06, I did swimming on 2016/03/06..\nOn 2016/03/06, I had lunch with Emily, Carter, Andrew, Kayden. I ate sushi..\nOn 2016/03/07, I went on a date with Jaxson on 2016/03/07 at a boba shop.\nOn 2016/03/07, I had eggs, sausages, and bread for breakfast with Piper, Hazel, Nevaeh, Nora, Kinsley, Olivia, Claire, Eva, Avery, Lydia, Piper.\nOn 2016/03/07, I ate sandwich for lunch..\nOn 2016/03/07, I spent 17 talking to Piper on various topics late in the evening..\nOn 2016/03/07, I spent 26 minutes on a book today..\nOn 2016/03/08, I had peanut-butter-jam for breakfast with Benjamin, Willow, Avery, Jackson.\nOn 2016/03/08, I had lunch. I ate pasta..\nOn 2016/03/09, I spent 34 minutes watching news on TV today..\nOn 2016/03/11, I had sandwich for dinner with Kayden, Andrew, Carter.\nOn 2016/03/12, I went grocery shopping. I bought some oranges, raspberries, bananas, apples, tea, and toilet paper, mouth wash, facial wash, body lotion.\nOn 2016/03/13, I had dinner with Jackson. I ate sushi..\nOn 2016/03/14, I had lunch with Willow, Jackson. I ate tacos..\nOn 2016/03/15, I had tacos for dinner with Lydia, Nora, Nevaeh, Rylee, Piper, Kinsley, Avery, Olivia, Layla, Piper, Eva, Claire.\nOn 2016/03/15, I talked to Nora, Piper, Eva for 17 minutes in the late afternoon..\nOn 2016/03/15, I watched news for 13 minutes on TV today..\nOn 2016/03/16, I had lunch with Kinsley, Eva, Lydia, Claire, Piper, Nora, Layla, Hazel. I ate pasta..\nOn 2016/03/16, I had a burger for dinner with Carter.\nOn 2016/03/17, I did hiking on 2016/03/17..\nOn 2016/03/17, I spent 41 talking to Eva, Layla on various topics in the late afternoon..\nOn 2016/03/18, I talked to Piper for 30 minutes during lunch hours..\nOn 2016/03/18, I spent 31 minutes watching a documentary on TV today..\nOn 2016/03/19, I spent 40 talking to Olivia, Nevaeh, Lydia on various topics in the early evening..\nOn 2016/03/20, I ate eggs, sausages, and bread for breakfast..\nOn 2016/03/21, I went on a date with Grayson on 2016/03/21 at a boba shop.\nOn 2016/03/21, I had lunch. I ate sushi..\nOn 2016/03/21, I spent 47 minutes reading news today..\nOn 2016/03/22, I prepare a burger for dinner..\nOn 2016/03/22, I spent 23 minutes reading a book today..\nOn 2016/03/22, I spent 13 minutes watching a movie on TV today..\nOn 2016/03/23, I ate sandwich for lunch..\nOn 2016/03/23, I spent 24 talking to Nora, Layla, Olivia, Nevaeh on various topics in the early evening..\nOn 2016/03/23, I spent 34 minutes on social media today..\nOn 2016/03/23, I watched a movie for 9 minutes on TV today..\nOn 2016/03/24, I had peanut-butter-jam for breakfast with Andrew, Kayden, Emily.\nOn 2016/03/25, I prepare steak for dinner..\nOn 2016/03/26, I talked to Eva for 33 minutes in the late afternoon..\nOn 2016/03/27, I talked to Nevaeh, Piper, Avery for 21 minutes in the early evening..\nOn 2016/03/27, I spent 9 minutes watching a tv series on TV today..\nOn 2016/03/28, I talked to Hazel for 38 minutes in the early afternoon..\nOn 2016/03/28, I spent 18 minutes reading a book today..\nOn 2016/03/29, I talked to Eva, Layla, Lydia for 41 minutes during lunch hours..\nOn 2016/03/29, I spent 49 minutes watching a tv series on TV today..\nOn 2016/03/30, I really enjoyed cooking contest-winning broccoli chicken casserole on 2016/03/30 with Andrew, Emily, Carter at my place.\nOn 2016/03/30, I had lunch with Lydia, Kinsley, Layla, Hazel, Rylee, Olivia, Nevaeh, Eva, Avery, Nora. I ate tacos..\nOn 2016/03/30, I had dinner with Andrew. I ate pasta..\nOn 2016/03/30, I spent 46 minutes watching a documentary on TV today..\nOn 2016/03/31, I did HIIT on 2016/03/31..\nOn 2016/03/31, I had dinner. I ate steak..\nOn 2016/04/01, I did running on 2016/04/01..\nOn 2016/04/01, I had breakfast with Kayden, Emily, Carter. I ate cereals..\nOn 2016/04/02, I spent 36 minutes reading news today..\nOn 2016/04/03, I spent 22 minutes reading news today..\nOn 2016/04/04, I did biking on 2016/04/04..\nOn 2016/04/04, I spent 35 minutes watching a documentary on TV today..\nOn 2016/04/05, I did HIIT on 2016/04/05..\nOn 2016/04/05, I spent 45 minutes on a book today..\nOn 2016/04/06, I spent time gardening on 2016/04/06 with Carter, Emily..\nOn 2016/04/06, I prepare pancakes for breakfast..\nOn 2016/04/07, I spent 43 talking to Eva, Kinsley on various topics in the early afternoon..\nOn 2016/04/08, I spent 54 talking to Eva, Layla, Piper, Kinsley on various topics in the morning..\nOn 2016/04/09, I spent time meditation on 2016/04/09 with Hazel..\nOn 2016/04/09, I had breakfast with Nevaeh, Nora, Layla, Hazel, Kinsley, Eva, Lydia, Piper, Avery, Olivia. I ate eggs, sausages, and bread..\nOn 2016/04/09, I prepare indian food for dinner..\nOn 2016/04/09, I spent 50 minutes on a book today..\nOn 2016/04/11, I spent 39 minutes on a book today..\nOn 2016/04/12, I had breakfast with Eva, Olivia, Nevaeh, Lydia, Kinsley, Piper, Claire, Rylee. I ate pancakes..\nOn 2016/04/12, I had dinner. I ate sushi..\nOn 2016/04/12, I spent 20 talking to Hazel on various topics in the early afternoon..\nOn 2016/04/14, I spent 19 minutes watching news on TV today..\nOn 2016/04/15, I had toast and cheese for breakfast with Piper, Olivia.\nOn 2016/04/16, I prepare fish and chips for dinner..\nOn 2016/04/16, I spent 32 minutes watching a tv series on TV today..\nOn 2016/04/17, I had a burger for lunch with Avery, Willow, Benjamin, Jackson.\nOn 2016/04/18, I did swimming on 2016/04/18..\nOn 2016/04/18, I had lunch with Jackson, Benjamin. I ate a burger..\nOn 2016/04/19, I did biking on 2016/04/19..\nOn 2016/04/20, I did hiking on 2016/04/20..\nOn 2016/04/20, I spent 46 talking to Piper on various topics in the late afternoon..\nOn 2016/04/20, I watched a documentary for 14 minutes on TV today..\nOn 2016/04/21, I spent 14 talking to Kinsley, Hazel, Olivia on various topics in the late afternoon..\nOn 2016/04/23, I prepare peanut-butter-jam for breakfast..\nOn 2016/04/23, I prepare steak for dinner..\nOn 2016/04/24, I talked to Olivia, Rylee, Eva for 21 minutes in the early afternoon..\nOn 2016/04/25, I really enjoyed meditation on 2016/04/25.\nOn 2016/04/25, I did biking on 2016/04/25..\nOn 2016/04/25, I talked to Olivia, Layla, Lydia, Piper for 51 minutes in the early evening..\nOn 2016/04/26, I ate sushi for dinner..\nOn 2016/04/27, I bought some guava, pineapple juice, conditioner, shampoo from the grocery store. I saw Carter, Kayden at the grocery store..\nOn 2016/04/27, I spent 52 talking to Piper, Olivia, Piper on various topics in the late afternoon..\nOn 2016/04/27, I watched a tv series for 12 minutes on TV today..\nOn 2016/04/28, I was cooking hamburger stroganoff on 2016/04/28 with Rylee, Claire at my place.\nOn 2016/04/28, I had peanut-butter-jam for breakfast with Kayden, Andrew, Emily, Carter.\nOn 2016/04/28, I spent 54 minutes on news today..\nOn 2016/04/29, I had lunch with Rylee, Piper, Lydia, Layla, Piper, Olivia, Claire, Avery, Nevaeh, Eva, Kinsley. I ate chinese food..\nOn 2016/04/29, I spent 20 talking to Rylee on various topics in the early evening..\nOn 2016/04/29, I spent 39 minutes on news today..\nOn 2016/04/30, I spent 25 talking to Avery, Lydia, Piper, Kinsley on various topics during lunch hours..\nOn 2016/05/02, I watched a tv series for 13 minutes on TV today..\nOn 2016/05/03, I did HIIT on 2016/05/03..\nOn 2016/05/04, I spent 35 minutes reading social media today..\nOn 2016/05/05, I entertained Andrew, Kayden, Emily, Carter at my place on 2016/05/05 and bake cream-filled bundt cake, easy cherry skillet cake.\nOn 2016/05/06, On 2016/05/06, I took Liam on a date to a boba shop.\nOn 2016/05/06, I had breakfast. I ate pancakes..\nOn 2016/05/06, I spent 26 minutes watching a movie on TV today..\nOn 2016/05/07, On 2016/05/07 Andrew and I went to London, UK together for 13 days .\nOn 2016/05/07, I talked to Piper for 13 minutes late in the evening..\nOn 2016/05/08, During my trip to London, UK, I visited Westminster on 2016/05 with Andrew..\nOn 2016/05/08, I ate Indian food at Broadway Market with Andrew on  2016/05/08 when I was in London, UK..\nOn 2016/05/08, I had indian food for lunch with Claire, Kinsley, Lydia, Piper, Rylee, Avery, Nevaeh, Nora, Layla, Eva, Piper, Hazel.\nOn 2016/05/08, I talked to Kinsley for 5 minutes late in the evening..\nOn 2016/05/09, During my trip to London, UK, I visited Hyde Park on 2016/05 with Andrew..\nOn 2016/05/09, I ate Chinese food at Brixton Village with Andrew on  2016/05/09 when I was in London, UK..\nOn 2016/05/09, I watched news for 49 minutes on TV today..\nOn 2016/05/10, During my trip to London, UK, I visited Camden on 2016/05 with Andrew..\nOn 2016/05/10, I ate Indian food at Berwick Street Market with Andrew on  2016/05/10 when I was in London, UK..\nOn 2016/05/10, I ate pancakes for breakfast..\nOn 2016/05/10, I talked to Nora, Olivia for 18 minutes in the late afternoon..\nOn 2016/05/10, I spent 23 minutes watching news on TV today..\nOn 2016/05/11, During my trip to London, UK, I visited London Eye on 2016/05 with Andrew..\nOn 2016/05/11, I ate local food at Broadway Market with Andrew on  2016/05/11 when I was in London, UK..\nOn 2016/05/11, I went grocery shopping with Andrew. I bought some apples, mineral water, coffee, mango juice, chocolate milk, and toothbrush, mouthwash, toilet paper.\nOn 2016/05/12, During my trip to London, UK, I visited Tower of London on 2016/05 with Andrew..\nOn 2016/05/12, I ate Italian food at Broadway Market with Andrew on  2016/05/12 when I was in London, UK..\nOn 2016/05/12, I talked to Nevaeh for 35 minutes during lunch hours..\nOn 2016/05/13, I bought some blueberries, guava, pineapple juice, sports drinks, toilet paper, toothpaste online..\nOn 2016/05/13, I ate indian food for dinner..\nOn 2016/05/13, I spent 48 minutes watching a tv series on TV today..\nOn 2016/05/14, I ate Italian food at Broadway Market with Andrew on  2016/05/14 when I was in London, UK..\nOn 2016/05/14, I had dinner with Avery, Olivia, Layla, Eva, Claire. I ate sandwich..\nOn 2016/05/14, I talked to Rylee for 31 minutes in the early afternoon..\nOn 2016/05/15, I ate Indian food at Brixton Village with Andrew on  2016/05/15 when I was in London, UK..\nOn 2016/05/15, I spent 42 minutes reading news today..\nOn 2016/05/16, I ate Indian food at Bang Bang Oriental with Andrew on  2016/05/16 when I was in London, UK..\nOn 2016/05/16, I prepare sandwich for dinner..\nOn 2016/05/17, I ate local food at Brixton Village with Andrew on  2016/05/17 when I was in London, UK..\nOn 2016/05/18, I ate Japanese food at Buck Street Market with Andrew on  2016/05/18 when I was in London, UK..\nOn 2016/05/18, I bought some clementines, nectarines, mineral water, tea, facial wash, mouthwash, toothbrush online..\nOn 2016/05/18, I had peanut-butter-jam for breakfast with Avery, Benjamin, Jackson.\nOn 2016/05/18, I spent 11 talking to Piper on various topics in the late afternoon..\nOn 2016/05/18, I spent 28 minutes watching a movie on TV today..\nOn 2016/05/19, I had dinner with Andrew, Carter, Emily. I ate indian food..\nOn 2016/05/19, I spent 55 minutes watching a tv series on TV today..\nOn 2016/05/20, I ate Indian food at Brixton Village with Andrew on  2016/05/20 when I was in London, UK..\nOn 2016/05/20, I had lunch. I ate steak..\nOn 2016/05/20, I talked to Hazel, Piper, Nevaeh, Layla for 11 minutes in the morning..\nOn 2016/05/21, I bought some watermelons, cherres, mineral water, shampoo online..\nOn 2016/05/21, I did running on 2016/05/21..\nOn 2016/05/22, I did biking on 2016/05/22..\nOn 2016/05/22, I had steak for dinner with Kayden.\nOn 2016/05/22, I spent 21 talking to Kinsley on various topics late in the evening..\nOn 2016/05/23, I went grocery shopping with Carter. I bought some oranges, mangos, pears, blueberries, milk, and toilet paper, paper towel, body lotion, shaving cream.\nOn 2016/05/24, I ate peanut-butter-jam for breakfast..\nOn 2016/05/25, I went for an annual vision checkup on 2016/05/25 at the university hospital..\nOn 2016/05/25, I spent 28 talking to Claire, Kinsley, Rylee, Eva on various topics late in the evening..\nOn 2016/05/26, I ate steak for dinner..\nOn 2016/05/27, I had breakfast. I ate cereals..\nOn 2016/05/27, I prepare fish and chips for dinner..\nOn 2016/05/27, I watched news for 5 minutes on TV today..\nOn 2016/05/29, I had dinner with Kayden. I ate indian food..\nOn 2016/05/30, I bought some blueberries, apricots, nectarines, tea, orange juice, facial wash, shaving cream, body lotion, conditioner from the grocery store. I saw Andrew, Carter, Emily at the grocery store..\nOn 2016/05/30, I talked to Claire for 38 minutes in the morning..\nOn 2016/05/30, I spent 16 minutes on social media today..\nOn 2016/05/31, I had fish and chips for lunch with Andrew, Carter, Kayden, Emily.\nOn 2016/06/01, I had lunch. I ate chinese food..\nOn 2016/06/02, I entertained Lydia, Claire, Rylee, Piper at my place on 2016/06/02 and bake cream-filled bundt cake, brownies, chocolate skillet cake.\nOn 2016/06/02, I spent 31 minutes watching news on TV today..\nOn 2016/06/03, I talked to Nora, Kinsley, Hazel, Rylee for 55 minutes in the morning..\nOn 2016/06/04, I spent 5 talking to Piper, Eva on various topics late in the evening..\nOn 2016/06/04, I spent 44 minutes reading social media today..\nOn 2016/06/05, I did weight lifting on 2016/06/05..\nOn 2016/06/05, I prepare steak for lunch..\nOn 2016/06/06, I had pancakes for breakfast with Layla, Avery, Olivia.\nOn 2016/06/06, I had sandwich for dinner with Emily.\nOn 2016/06/06, I talked to Kinsley, Claire, Piper, Nevaeh for 13 minutes in the early evening..\nOn 2016/06/07, I spent 7 minutes on a book today..\nOn 2016/06/08, I did hiking on 2016/06/08..\nOn 2016/06/08, I prepare tacos for dinner..\nOn 2016/06/10, I talked to Layla, Piper, Lydia, Nevaeh for 23 minutes in the early evening..\nOn 2016/06/11, I talked to Nevaeh for 35 minutes in the morning..\nOn 2016/06/12, I spent 47 minutes watching a movie on TV today..\nOn 2016/06/13, I did running on 2016/06/13..\nOn 2016/06/13, I spent 14 talking to Layla, Avery on various topics in the early afternoon..\nOn 2016/06/14, I did weight lifting on 2016/06/14..\nOn 2016/06/14, I prepare pancakes for breakfast..\nOn 2016/06/16, I did biking on 2016/06/16..\nOn 2016/06/16, I spent 33 talking to Claire on various topics in the morning..\nOn 2016/06/17, I had lunch with Carter, Emily. I ate sushi..\nOn 2016/06/17, I prepare pasta for dinner..\nOn 2016/06/18, I prepare pasta for lunch..\nOn 2016/06/18, I had dinner with Andrew, Kayden. I ate a burger..\nOn 2016/06/21, I went on a date with Santiago  on 2016/06/21 at a park.\nOn 2016/06/24, I went grocery shopping with Andrew, Kayden, Carter. I bought some mangos, blueberries, oranges, apricots, tea, apple juice, and shampoo, shaving cream, toothbrush, facial wash.\nOn 2016/06/24, I had pancakes for breakfast with Carter, Andrew, Kayden, Emily.\nOn 2016/06/25, I did running on 2016/06/25..\nOn 2016/06/25, I prepare indian food for dinner..\nOn 2016/06/26, I had dinner with Hazel, Nevaeh, Piper, Layla. I ate a burger..\nOn 2016/06/26, I spent 18 minutes watching a tv series on TV today..\nOn 2016/06/27, I spent 21 minutes watching a documentary on TV today..\nOn 2016/06/28, I bought some blackberries, pears, cherres, mangos, pineapple juice, milk, orange juice, facial wash from the grocery store. I saw Kayden, Emily, Carter, Andrew at the grocery store..\nOn 2016/06/28, I spent 27 minutes reading news today..\nOn 2016/06/29, I prepare steak for lunch..\nOn 2016/06/30, I spent 43 minutes watching a tv series on TV today..\nOn 2016/07/01, I ate fish and chips for dinner..\nOn 2016/07/02, I had dinner with Jackson, Benjamin. I ate fish and chips..\nOn 2016/07/02, I talked to Nevaeh for 46 minutes in the morning..\nOn 2016/07/03, I prepare toast and cheese for breakfast..\nOn 2016/07/04, I had dinner with Lydia, Layla, Avery, Nora, Olivia, Piper, Claire, Hazel. I ate steak..\nOn 2016/07/04, I spent 14 minutes watching a movie on TV today..\nOn 2016/07/05, I bought some oranges, peaches, guava juice, coffee, milk, orange juice, mouthwash, paper towel, toothpaste, toothbrush from the grocery store. I saw Andrew at the grocery store..\nOn 2016/07/05, I watched news for 40 minutes on TV today..\nOn 2016/07/06, I spent 39 minutes reading a book today..\nOn 2016/07/07, I spent 40 minutes on a book today..\nOn 2016/07/08, I had dinner. I ate sushi..\nOn 2016/07/08, I talked to Hazel, Piper, Kinsley, Eva for 48 minutes in the morning..\nOn 2016/07/09, I spent some time yoga on 2016/07/09..\nOn 2016/07/09, I spent 23 minutes on social media today..\nOn 2016/07/10, I did swimming on 2016/07/10..\nOn 2016/07/11, I spent 51 minutes watching a documentary on TV today..\nOn 2016/07/12, I had dinner. I ate sushi..\nOn 2016/07/12, I watched a movie for 7 minutes on TV today..\nOn 2016/07/13, I bought some oranges, apricots, raspberries, blueberries, chocolate milk, guava juice, facial wash, paper towel, conditioner, toothbrush from the grocery store. I saw Carter, Emily at the grocery store..\nOn 2016/07/14, I ate peanut-butter-jam for breakfast..\nOn 2016/07/14, I spent 55 talking to Eva on various topics late in the evening..\nOn 2016/07/16, I had indian food for dinner with Andrew, Kayden.\nOn 2016/07/16, I spent 34 talking to Lydia, Nora, Rylee on various topics in the early afternoon..\nOn 2016/07/17, I was cooking asian slaw, thai noodle salad, thai green curry paste on 2016/07/17 with Nora, Layla, Rylee at my place.\nOn 2016/07/18, I bought some mangos, strawberries, apricots, apple juice, coffee, orange juice, soda, mouth wash, shampoo from the grocery store. I saw Nora, Nevaeh, Rylee at the grocery store..\nOn 2016/07/18, I ate tacos for lunch..\nOn 2016/07/18, I spent 18 talking to Piper, Rylee on various topics during lunch hours..\nOn 2016/07/19, I did running on 2016/07/19..\nOn 2016/07/19, I prepare eggs, sausages, and bread for breakfast..\nOn 2016/07/20, I did HIIT on 2016/07/20..\nOn 2016/07/20, I had tacos for lunch with Andrew, Carter, Kayden.\nOn 2016/07/20, I spent 30 minutes reading a book today..\nOn 2016/07/22, I spent 53 minutes on a book today..\nOn 2016/07/23, I had lunch with Andrew, Kayden, Carter. I ate pasta..\nOn 2016/07/23, I had dinner. I ate chinese food..\nOn 2016/07/24, I talked to Nora for 45 minutes in the early afternoon..\nOn 2016/07/25, I did swimming on 2016/07/25..\nOn 2016/07/25, I talked to Avery for 45 minutes late in the evening..\nOn 2016/07/25, I spent 23 minutes watching news on TV today..\nOn 2016/07/26, I had breakfast. I ate pancakes..\nOn 2016/07/26, I had lunch with Carter, Kayden. I ate tacos..\nOn 2016/07/26, I had fish and chips for dinner with Layla, Olivia, Kinsley, Lydia, Rylee.\nOn 2016/07/27, I had lunch. I ate a burger..\nOn 2016/07/27, I spent 20 talking to Eva, Layla, Lydia, Olivia on various topics late in the evening..\nOn 2016/07/28, I ate sandwich for lunch..\nOn 2016/07/29, I had breakfast. I ate cereals..\nOn 2016/07/29, I had lunch. I ate pasta..\nOn 2016/07/29, I spent 20 minutes reading news today..\nOn 2016/07/29, I spent 30 minutes watching news on TV today..\nOn 2016/07/30, I did running on 2016/07/30..\nOn 2016/07/30, I had breakfast. I ate pancakes..\nOn 2016/07/30, I had a burger for lunch with Emily.\nOn 2016/07/30, I had dinner with Emily, Carter, Andrew, Kayden. I ate tacos..\nOn 2016/07/31, I had tacos for dinner with Willow, Avery, Jackson, Benjamin.\nOn 2016/07/31, I spent 36 minutes watching a documentary on TV today..\nOn 2016/08/01, I went on a date with Jordan on 2016/08/01 at a restaurant.\nOn 2016/08/01, I had breakfast with Hazel, Rylee, Piper, Kinsley, Nevaeh, Nora, Olivia, Layla, Lydia. I ate toast and cheese..\nOn 2016/08/01, I had dinner. I ate sushi..\nOn 2016/08/02, I went grocery shopping with Rylee, Eva, Piper, Hazel, Layla, Lydia, Olivia, Claire, Nevaeh, Piper, Kinsley. I bought some raspberries, apricots, strawberries, mangos, milk, pineapple juice, and facial wash, mouth wash, mouthwash, toilet paper.\nOn 2016/08/02, I had fish and chips for lunch with Andrew, Carter, Kayden.\nOn 2016/08/02, I talked to Piper, Nevaeh, Olivia, Piper for 47 minutes in the late afternoon..\nOn 2016/08/03, I ate indian food for lunch..\nOn 2016/08/03, I watched a movie for 51 minutes on TV today..\nOn 2016/08/04, I prepare steak for lunch..\nOn 2016/08/04, I watched a movie for 21 minutes on TV today..\nOn 2016/08/05, I had chinese food for lunch with Carter, Andrew, Kayden, Emily.\nOn 2016/08/05, I spent 25 minutes reading a book today..\nOn 2016/08/06, I went grocery shopping with Kinsley, Piper, Hazel, Nora, Olivia, Lydia. I bought some blueberries, apricots, watermelons, sports drinks, and mouth wash, body lotion, paper towel.\nOn 2016/08/06, I watched a tv series for 21 minutes on TV today..\nOn 2016/08/07, I spent time learning a language on 2016/08/07 with Andrew..\nOn 2016/08/07, I spent 52 talking to Lydia, Nora, Avery, Kinsley on various topics during lunch hours..\nOn 2016/08/08, I spent 41 talking to Eva, Hazel, Rylee on various topics late in the evening..\nOn 2016/08/10, I ate sushi for dinner..\nOn 2016/08/10, I spent 38 talking to Piper, Olivia on various topics late in the evening..\nOn 2016/08/11, On 2016/08/11, I took Wesley on a date to a coffee Shop.\nOn 2016/08/12, I ate chinese food for lunch..\nOn 2016/08/12, I spent 26 minutes reading a book today..\nOn 2016/08/13, I did weight lifting on 2016/08/13..\nOn 2016/08/13, I had breakfast with Andrew, Emily. I ate oatmeal..\nOn 2016/08/13, I spent 45 minutes reading a book today..\nOn 2016/08/14, I bought some nectarines, watermelons, bananas, mandarins, chocolate milk, sports drinks, toilet paper, toothbrush, paper towel online..\nOn 2016/08/15, I ate pancakes for breakfast..\nOn 2016/08/15, I had dinner with Kayden, Carter. I ate pasta..\nOn 2016/08/15, I spent 24 talking to Lydia, Hazel, Kinsley, Piper on various topics in the morning..\nOn 2016/08/16, I ate tacos for dinner..\nOn 2016/08/16, I talked to Piper, Piper, Avery, Nevaeh for 45 minutes during lunch hours..\nOn 2016/08/17, I prepare peanut-butter-jam for breakfast..\nOn 2016/08/17, I prepare pasta for lunch..\nOn 2016/08/17, I watched a documentary for 54 minutes on TV today..\nOn 2016/08/20, I talked to Kinsley, Rylee for 25 minutes in the early evening..\nOn 2016/08/20, I watched news for 28 minutes on TV today..\nOn 2016/08/21, I talked to Nevaeh for 22 minutes late in the evening..\nOn 2016/08/24, I ate cereals for breakfast..\nOn 2016/08/25, I spent 28 talking to Rylee, Piper, Piper, Layla on various topics in the early afternoon..\nOn 2016/08/25, I spent 10 minutes reading social media today..\nOn 2016/08/26, I did HIIT on 2016/08/26..\nOn 2016/08/26, I had sandwich for lunch with Carter.\nOn 2016/08/26, I talked to Olivia, Layla, Piper for 30 minutes late in the evening..\nOn 2016/08/27, I had sandwich for lunch with Emily, Kayden, Carter, Andrew.\nOn 2016/08/28, I entertained Nora, Hazel, Layla at my place on 2016/08/28 and cook cube steak and gravy, scallion pancake, gado gado.\nOn 2016/08/28, I talked to Kinsley, Avery, Nevaeh, Hazel for 45 minutes in the morning..\nOn 2016/08/29, I had breakfast. I ate pancakes..\nOn 2016/08/29, I spent 27 minutes on news today..\nOn 2016/08/30, I spent 48 minutes reading social media today..\nOn 2016/09/01, I did hiking on 2016/09/01..\nOn 2016/09/02, I went on a date with Evelyn on 2016/09/02 at a park.\nOn 2016/09/02, I spent 42 talking to Rylee, Claire, Lydia, Nevaeh on various topics in the early evening..\nOn 2016/09/04, I had breakfast. I ate toast and cheese..\nOn 2016/09/04, I had lunch with Emily. I ate indian food..\nOn 2016/09/04, I prepare pasta for dinner..\nOn 2016/09/05, I had breakfast. I ate eggs, sausages, and bread..\nOn 2016/09/05, I ate indian food for dinner..\nOn 2016/09/07, I had sushi for lunch with Emily, Andrew, Carter, Kayden.\nOn 2016/09/08, I watched a tv series for 35 minutes on TV today..\nOn 2016/09/09, I did hiking on 2016/09/09..\nOn 2016/09/09, I talked to Piper for 51 minutes in the early evening..\nOn 2016/09/10, I had dinner with Olivia, Nevaeh, Lydia, Piper, Claire, Avery. I ate pasta..\nOn 2016/09/10, I spent 52 minutes reading social media today..\nOn 2016/09/10, I watched a movie for 11 minutes on TV today..\nOn 2016/09/12, I watched a movie for 43 minutes on TV today..\nOn 2016/09/13, I had oatmeal for breakfast with Andrew.\nOn 2016/09/14, I really enjoyed learning a language on 2016/09/14.\nOn 2016/09/14, I bought some strawberries, clementines, guava juice, pineapple juice, toothpaste, toilet paper, facial wash, toothbrush from the grocery store. I saw Kayden, Carter, Andrew at the grocery store..\nOn 2016/09/14, I spent 35 talking to Piper, Claire on various topics in the late afternoon..\nOn 2016/09/14, I watched a movie for 43 minutes on TV today..\nOn 2016/09/15, I prepare sandwich for dinner..\nOn 2016/09/16, I had steak for dinner with Avery.\nOn 2016/09/16, I talked to Lydia, Nevaeh, Nora, Rylee for 36 minutes late in the evening..\nOn 2016/09/17, I spent 40 minutes watching news on TV today..\nOn 2016/09/18, I did swimming on 2016/09/18..\nOn 2016/09/18, I ate chinese food for dinner..\nOn 2016/09/18, I spent 22 minutes reading social media today..\nOn 2016/09/19, I really enjoyed baking chrissy teigen’s 3-ingredient chocolate mousse on 2016/09/19 with Kayden, Emily, Andrew at my place.\nOn 2016/09/19, I spent 49 minutes on news today..\nOn 2016/09/20, I prepare toast and cheese for breakfast..\nOn 2016/09/20, I had pasta for lunch with Andrew, Emily, Carter, Kayden.\nOn 2016/09/20, I talked to Nevaeh, Hazel, Eva, Kinsley for 55 minutes late in the evening..\nOn 2016/09/21, I talked to Piper, Lydia, Layla for 26 minutes in the early afternoon..\nOn 2016/09/21, I spent 52 minutes reading social media today..\nOn 2016/09/21, I watched a tv series for 39 minutes on TV today..\nOn 2016/09/22, I bought some clementines, guava, bananas, mango juice, conditioner online..\nOn 2016/09/22, I did HIIT on 2016/09/22..\nOn 2016/09/22, I prepare oatmeal for breakfast..\nOn 2016/09/22, I spent 9 minutes on news today..\nOn 2016/09/23, I had tacos for lunch with Kayden, Emily, Carter.\nOn 2016/09/23, I spent 36 minutes on a book today..\nOn 2016/09/24, I spent 33 minutes watching a movie on TV today..\nOn 2016/09/25, I had steak for dinner with Kayden, Emily, Andrew.\nOn 2016/09/25, I talked to Piper, Claire, Nevaeh for 51 minutes in the early afternoon..\nOn 2016/09/25, I spent 18 minutes on news today..\nOn 2016/09/26, I prepare a burger for dinner..\nOn 2016/09/26, I spent 19 minutes on social media today..\nOn 2016/09/27, I went on a date with Mila on 2016/09/27 at a restaurant.\nOn 2016/09/28, I had fish and chips for dinner with Kayden.\nOn 2016/09/28, I watched a movie for 20 minutes on TV today..\nOn 2016/09/29, I ate pasta for lunch..\nOn 2016/09/29, I talked to Avery for 7 minutes in the early evening..\nOn 2016/09/30, I went grocery shopping. I bought some pineapples, blueberries, tea, soda, and toilet paper, facial wash, toothpaste.\nOn 2016/09/30, I did HIIT on 2016/09/30..\nOn 2016/09/30, I spent 31 minutes watching news on TV today..\nOn 2016/10/01, I went on a date with Nathan on 2016/10/01 at a coffee Shop.\nOn 2016/10/01, I did biking on 2016/10/01..\nOn 2016/10/01, I spent 50 talking to Piper, Nora, Claire on various topics in the early evening..\nOn 2016/10/01, I spent 39 minutes reading a book today..\nOn 2016/10/02, I spent 53 talking to Hazel, Olivia on various topics in the morning..\nOn 2016/10/03, I bought some clementines, raspberries, apricots, pineapples, soda, tea, coffee, mango juice, body lotion, shaving cream, shampoo online..\nOn 2016/10/03, I had lunch with Jackson. I ate sushi..\nOn 2016/10/04, I did swimming on 2016/10/04..\nOn 2016/10/05, I ate pancakes for breakfast..\nOn 2016/10/05, I had dinner with Carter, Emily, Kayden, Andrew. I ate pasta..\nOn 2016/10/06, I ate toast and cheese for breakfast..\nOn 2016/10/06, I talked to Avery for 51 minutes in the morning..\nOn 2016/10/07, I bought some apples, apricots, mangos, watermelons, milk, soda, tea, coffee, toothpaste online..\nOn 2016/10/07, I prepare a burger for lunch..\nOn 2016/10/08, I had lunch with Emily, Kayden, Andrew. I ate indian food..\nOn 2016/10/08, I had dinner. I ate sushi..\nOn 2016/10/08, I spent 24 minutes on news today..\nOn 2016/10/09, I spent 5 talking to Piper, Avery, Piper, Nevaeh on various topics in the early afternoon..\nOn 2016/10/10, I spent 55 talking to Nora, Eva, Piper, Piper on various topics in the early evening..\nOn 2016/10/11, my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2016/10/11..\nOn 2016/10/11, I ate indian food for lunch..\nOn 2016/10/11, I prepare steak for dinner..\nOn 2016/10/11, I talked to Nora, Piper, Eva for 22 minutes late in the evening..\nOn 2016/10/11, I spent 45 minutes reading a book today..\nOn 2016/10/13, I had lunch. I ate sushi..\nOn 2016/10/13, I had dinner. I ate pasta..\nOn 2016/10/14, I spent 48 minutes reading a book today..\nOn 2016/10/15, I spent 47 talking to Layla on various topics in the early afternoon..\nOn 2016/10/16, I spent 16 minutes watching a documentary on TV today..\nOn 2016/10/17, I talked to Kinsley, Hazel, Eva, Olivia for 43 minutes in the morning..\nOn 2016/10/17, I spent 54 minutes watching news on TV today..\nOn 2016/10/18, I spent 5 minutes reading news today..\nOn 2016/10/19, I spent 12 minutes on social media today..\nOn 2016/10/20, I bought some blueberries, cherres, raspberries, pineapple juice, tea, paper towel online..\nOn 2016/10/20, I spent 20 minutes on news today..\nOn 2016/10/21, I spent time learning a language on 2016/10/21 with Lydia, Rylee..\nOn 2016/10/21, I had lunch. I ate pasta..\nOn 2016/10/23, I spent 17 talking to Kinsley, Lydia, Nora, Piper on various topics in the morning..\nOn 2016/10/23, I watched news for 55 minutes on TV today..\nOn 2016/10/24, I spent 47 talking to Olivia, Kinsley, Nevaeh on various topics in the early afternoon..\nOn 2016/10/24, I spent 54 minutes on news today..\nOn 2016/10/24, I watched a movie for 43 minutes on TV today..\nOn 2016/10/25, I went on a date with Lucas on 2016/10/25 at a boba shop.\nOn 2016/10/25, I had chinese food for dinner with Kayden, Emily, Carter.\nOn 2016/10/26, I went grocery shopping. I bought some bananas, blackberries, coffee, mango juice, and toilet paper.\nOn 2016/10/26, I had cereals for breakfast with Piper, Piper, Nora, Avery, Rylee, Lydia.\nOn 2016/10/26, I talked to Piper, Claire, Nora, Olivia for 31 minutes in the morning..\nOn 2016/10/28, I talked to Layla, Claire, Rylee for 45 minutes in the morning..\nOn 2016/10/29, I had sandwich for dinner with Kayden.\nOn 2016/10/30, I had sushi for lunch with Kayden.\nOn 2016/10/31, I did swimming on 2016/10/31..\nOn 2016/11/01, I had breakfast. I ate oatmeal..\nOn 2016/11/01, I had indian food for dinner with Hazel, Piper, Olivia, Layla, Nora, Kinsley, Piper, Rylee, Lydia, Nevaeh.\nOn 2016/11/02, I prepare pasta for lunch..\nOn 2016/11/03, I did running on 2016/11/03..\nOn 2016/11/03, I spent 13 minutes on social media today..\nOn 2016/11/05, I ate eggs, sausages, and bread for breakfast..\nOn 2016/11/05, I had dinner with Jackson, Benjamin, Avery. I ate steak..\nOn 2016/11/06, I did HIIT on 2016/11/06..\nOn 2016/11/06, I had pasta for lunch with Emily, Kayden, Carter, Andrew.\nOn 2016/11/07, I went on a date with Camila on 2016/11/07 at a restaurant.\nOn 2016/11/07, I did swimming on 2016/11/07..\nOn 2016/11/07, I had lunch. I ate chinese food..\nOn 2016/11/10, I had breakfast with Kayden, Carter, Andrew, Emily. I ate pancakes..\nOn 2016/11/10, I prepare sandwich for lunch..\nOn 2016/11/11, I did biking on 2016/11/11..\nOn 2016/11/11, I talked to Layla, Kinsley for 11 minutes late in the evening..\nOn 2016/11/11, I spent 23 minutes reading news today..\nOn 2016/11/12, I had breakfast with Andrew, Kayden, Emily. I ate cereals..\nOn 2016/11/12, I had lunch. I ate sushi..\nOn 2016/11/12, I spent 26 minutes watching a tv series on TV today..\nOn 2016/11/14, I ate fish and chips for dinner..\nOn 2016/11/15, I bought some blackberries, nectarines, chocolate milk, body lotion from the grocery store. I saw Emily, Kayden, Carter, Andrew at the grocery store..\nOn 2016/11/15, I talked to Piper, Layla, Hazel for 33 minutes in the early afternoon..\nOn 2016/11/16, I was baking lemon meringue cookies, blackberry-raspberry skillet cobbler, chocolate skillet cake on 2016/11/16 with Carter, Emily, Andrew at my place.\nOn 2016/11/16, I spent some time learning a language on 2016/11/16..\nOn 2016/11/16, I ate indian food for dinner..\nOn 2016/11/18, I had breakfast. I ate peanut-butter-jam..\nOn 2016/11/19, I bought some blackberries, cherres, tea, mineral water, sports drinks, mouth wash, conditioner, toothbrush, shampoo from the grocery store. I saw Hazel, Rylee, Lydia, Eva, Piper, Layla, Avery, Nevaeh, Piper, Kinsley, Olivia, Claire, Nora at the grocery store..\nOn 2016/11/19, I talked to Nora for 54 minutes during lunch hours..\nOn 2016/11/20, I spent 34 talking to Eva, Rylee, Nevaeh, Layla on various topics during lunch hours..\nOn 2016/11/21, I had oatmeal for breakfast with Lydia, Hazel, Olivia, Nevaeh, Claire, Piper.\nOn 2016/11/21, I spent 49 talking to Claire, Piper, Lydia on various topics in the early evening..\nOn 2016/11/21, I spent 51 minutes on news today..\nOn 2016/11/22, I spent 53 talking to Nevaeh on various topics in the early evening..\nOn 2016/11/22, I spent 7 minutes reading a book today..\nOn 2016/11/23, I prepare tacos for dinner..\nOn 2016/11/23, I talked to Piper, Kinsley, Eva, Lydia for 21 minutes in the late afternoon..\nOn 2016/11/24, I talked to Nevaeh for 24 minutes during lunch hours..\nOn 2016/11/24, I spent 13 minutes on social media today..\nOn 2016/11/24, I watched a documentary for 22 minutes on TV today..\nOn 2016/11/25, On 2016/11/25, I took Hannah on a date to a restaurant.\nOn 2016/11/25, I talked to Rylee, Olivia, Lydia, Avery for 9 minutes late in the evening..\nOn 2016/11/25, I spent 34 minutes watching a tv series on TV today..\nOn 2016/11/26, my parents for their and I went for an annual physical checkup at the private clinic on 2016/11/26..\nOn 2016/11/26, I had tacos for lunch with Avery, Jackson, Benjamin, Willow.\nOn 2016/11/26, I talked to Nora, Eva, Piper, Layla for 48 minutes during lunch hours..\nOn 2016/11/26, I watched news for 29 minutes on TV today..\nOn 2016/11/27, I had breakfast with Jackson, Willow, Benjamin. I ate oatmeal..\nOn 2016/11/27, I spent 15 talking to Nora, Kinsley, Hazel, Layla on various topics in the late afternoon..\nOn 2016/11/28, I talked to Piper, Lydia, Claire for 51 minutes in the early evening..\nOn 2016/11/29, I did hiking on 2016/11/29..\nOn 2016/11/30, On 2016/11/30, I took Aaliyah on a date to a coffee Shop.\nOn 2016/11/30, I had lunch. I ate steak..\nOn 2016/11/30, I had tacos for dinner with Emily, Carter.\nOn 2016/12/02, I did weight lifting on 2016/12/02..\nOn 2016/12/02, I had lunch with Emily. I ate a burger..\nOn 2016/12/02, I spent 32 minutes watching a movie on TV today..\nOn 2016/12/03, I prepare fish and chips for dinner..\nOn 2016/12/04, I did running on 2016/12/04..\nOn 2016/12/05, I bought some apricots, peaches, raspberries, nectarines, tea, orange juice, coffee, apple juice, toothbrush from the grocery store. I saw Benjamin, Avery, Jackson at the grocery store..\nOn 2016/12/05, I prepare sushi for lunch..\nOn 2016/12/05, I watched a tv series for 13 minutes on TV today..\nOn 2016/12/06, I prepare cereals for breakfast..\nOn 2016/12/09, I talked to Piper, Rylee, Layla, Hazel for 23 minutes in the late afternoon..\nOn 2016/12/10, I talked to Piper, Claire for 38 minutes during lunch hours..\nOn 2016/12/10, I spent 38 minutes reading a book today..\nOn 2016/12/10, I watched news for 51 minutes on TV today..\nOn 2016/12/11, I went for an annual physical checkup on 2016/12/11 at the university hospital..\nOn 2016/12/11, I had breakfast with Hazel, Nevaeh, Claire, Piper, Eva, Rylee, Kinsley, Piper. I ate cereals..\nOn 2016/12/11, I prepare pasta for dinner..\nOn 2016/12/12, I did running on 2016/12/12..\nOn 2016/12/12, I ate toast and cheese for breakfast..\nOn 2016/12/12, I had sushi for lunch with Eva.\nOn 2016/12/13, I ate a burger for lunch..\nOn 2016/12/13, I spent 43 talking to Kinsley on various topics late in the evening..\nOn 2016/12/14, I went grocery shopping with Emily, Carter, Kayden. I bought some oranges, raspberries, soda, and conditioner, toilet paper.\nOn 2016/12/14, I had fish and chips for lunch with Kayden, Andrew, Carter, Emily.\nOn 2016/12/14, I talked to Claire, Layla for 24 minutes in the morning..\nOn 2016/12/15, I prepare cereals for breakfast..\nOn 2016/12/15, I watched news for 46 minutes on TV today..\nOn 2016/12/16, I went grocery shopping with Nora, Olivia, Piper. I bought some apples, pears, peaches, mango juice, apple juice, chocolate milk, mineral water, and paper towel, shampoo, mouthwash.\nOn 2016/12/16, I did swimming on 2016/12/16..\nOn 2016/12/16, I prepare fish and chips for dinner..\nOn 2016/12/17, I had dinner. I ate indian food..\nOn 2016/12/17, I spent 24 minutes on social media today..\nOn 2016/12/19, On 2016/12/19, I took Christophe on a date to a restaurant.\nOn 2016/12/19, I had breakfast with Andrew. I ate cereals..\nOn 2016/12/20, I really enjoyed gardening on 2016/12/20.\nOn 2016/12/20, I watched a documentary for 16 minutes on TV today..\nOn 2016/12/21, I had cereals for breakfast with Nora, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Piper, Layla, Lydia.\nOn 2016/12/21, I talked to Nora, Olivia, Claire for 30 minutes in the morning..\nOn 2016/12/21, I spent 36 minutes watching a movie on TV today..\nOn 2016/12/23, I went grocery shopping with Jackson, Avery. I bought some mandarins, clementines, oranges, watermelons, tea, soda, apple juice, orange juice, and mouth wash.\nOn 2016/12/24, I spent 34 minutes reading a book today..\nOn 2016/12/25, I went on a date with Jose on 2016/12/25 at a park.\nOn 2016/12/25, I had breakfast with Kayden, Andrew, Carter. I ate cereals..\nOn 2016/12/26, I bought some strawberries, bananas, guava, sports drinks, coffee, apple juice, guava juice, toothpaste, toilet paper from the grocery store. I saw Avery, Willow, Benjamin, Jackson at the grocery store..\nOn 2016/12/26, I did running on 2016/12/26..\nOn 2016/12/27, I spent 21 talking to Piper, Lydia, Avery, Nevaeh on various topics in the morning..\nOn 2016/12/28, I had lunch with Andrew, Carter. I ate sushi..\nOn 2016/12/29, I did weight lifting on 2016/12/29..\nOn 2016/12/29, I ate toast and cheese for breakfast..\nOn 2016/12/29, I had tacos for lunch with Emily, Andrew, Carter, Kayden.\nOn 2016/12/29, I had chinese food for dinner with Carter.\nOn 2016/12/30, I went grocery shopping with Benjamin, Willow. I bought some watermelons, pears, pineapples, bananas, orange juice, and mouthwash, body lotion, toothbrush.\nOn 2016/12/30, I talked to Lydia, Piper, Kinsley for 37 minutes in the early evening..\nOn 2016/12/31, I had breakfast with Emily, Kayden, Carter. I ate pancakes..\nOn 2017/01/02, I talked to Layla for 8 minutes during lunch hours..\nOn 2017/01/03, On 2017/01/03, I took Nicholas on a date to a boba shop.\nOn 2017/01/03, I had sandwich for dinner with Carter, Emily, Andrew.\nOn 2017/01/04, I watched a tv series for 40 minutes on TV today..\nOn 2017/01/05, I had lunch with Avery, Benjamin. I ate sushi..\nOn 2017/01/05, I ate pasta for dinner..\nOn 2017/01/05, I talked to Olivia for 37 minutes in the early evening..\nOn 2017/01/06, I spent 30 minutes watching a tv series on TV today..\nOn 2017/01/07, I bought some oranges, clementines, mangos, guava, chocolate milk, orange juice, shaving cream, toilet paper online..\nOn 2017/01/07, I spent 41 minutes reading social media today..\nOn 2017/01/08, I had pancakes for breakfast with Carter, Emily, Kayden, Andrew.\nOn 2017/01/08, I talked to Eva for 14 minutes in the early afternoon..\nOn 2017/01/09, I spent 28 minutes on news today..\nOn 2017/01/09, I watched a documentary for 7 minutes on TV today..\nOn 2017/01/10, On 2017/01/10, I took Marzieh on a date to a boba shop.\nOn 2017/01/10, I ate pancakes for breakfast..\nOn 2017/01/10, I spent 12 talking to Piper, Rylee, Kinsley, Layla on various topics in the morning..\nOn 2017/01/11, I had lunch with Andrew. I ate indian food..\nOn 2017/01/11, I spent 39 minutes reading social media today..\nOn 2017/01/12, I prepare chinese food for dinner..\nOn 2017/01/12, I spent 17 minutes on news today..\nOn 2017/01/13, I went grocery shopping. I bought some nectarines, oranges, cherres, apple juice, pineapple juice, and conditioner.\nOn 2017/01/13, I did hiking on 2017/01/13..\nOn 2017/01/13, I had toast and cheese for breakfast with Kayden.\nOn 2017/01/13, I prepare sandwich for dinner..\nOn 2017/01/13, I talked to Piper for 43 minutes in the early evening..\nOn 2017/01/14, On 2017/01/14, I took Jack on a date to a park.\nOn 2017/01/14, I spent time meditation on 2017/01/14 with Jackson..\nOn 2017/01/14, I did HIIT on 2017/01/14..\nOn 2017/01/14, I ate peanut-butter-jam for breakfast..\nOn 2017/01/15, I went for an annual physical checkup on 2017/01/15 at the private clinic..\nOn 2017/01/16, I had lunch. I ate a burger..\nOn 2017/01/17, I did running on 2017/01/17..\nOn 2017/01/17, I had tacos for dinner with Piper, Hazel, Eva, Olivia, Claire.\nOn 2017/01/18, I did swimming on 2017/01/18..\nOn 2017/01/18, I watched a movie for 11 minutes on TV today..\nOn 2017/01/19, I really enjoyed working out on 2017/01/19.\nOn 2017/01/20, I ate chinese food for lunch..\nOn 2017/01/21, I prepare toast and cheese for breakfast..\nOn 2017/01/22, I had fish and chips for lunch with Hazel, Rylee, Piper, Kinsley, Nevaeh, Claire, Avery, Piper, Lydia, Layla, Eva.\nOn 2017/01/23, I prepare tacos for lunch..\nOn 2017/01/23, I had dinner. I ate a burger..\nOn 2017/01/23, I spent 48 talking to Kinsley, Avery on various topics in the late afternoon..\nOn 2017/01/23, I spent 31 minutes on a book today..\nOn 2017/01/24, I bought some cherres, clementines, sports drinks, pineapple juice, mineral water, tea, conditioner online..\nOn 2017/01/24, I had breakfast. I ate cereals..\nOn 2017/01/24, I ate a burger for dinner..\nOn 2017/01/25, I was cooking au gratin peas and potatoes, air-fryer brats, wonton soup on 2017/01/25 with Carter, Emily, Andrew, Kayden at my place.\nOn 2017/01/25, I prepare a burger for dinner..\nOn 2017/01/26, I really enjoyed meditation on 2017/01/26.\nOn 2017/01/26, I had lunch with Carter, Kayden, Emily. I ate pasta..\nOn 2017/01/26, I had dinner. I ate sushi..\nOn 2017/01/26, I spent 30 talking to Rylee, Eva on various topics during lunch hours..\nOn 2017/01/27, I ate tacos for lunch..\nOn 2017/01/28, I bought some cherres, nectarines, guava juice, soda, pineapple juice, shampoo from the grocery store. I saw Benjamin, Avery, Jackson at the grocery store..\nOn 2017/01/28, I prepare a burger for dinner..\nOn 2017/01/29, I watched a documentary for 40 minutes on TV today..\nOn 2017/01/30, I really enjoyed cooking so-easy sloppy joes on 2017/01/30 with Carter, Kayden at my place.\nOn 2017/01/31, I ate sushi for lunch..\nOn 2017/01/31, I talked to Avery, Hazel, Rylee for 48 minutes late in the evening..\nOn 2017/02/02, I prepare steak for dinner..\nOn 2017/02/02, I spent 52 minutes reading social media today..\nOn 2017/02/02, I watched a movie for 17 minutes on TV today..\nOn 2017/02/03, I prepare toast and cheese for breakfast..\nOn 2017/02/03, I ate fish and chips for lunch..\nOn 2017/02/03, I spent 50 minutes watching a tv series on TV today..\nOn 2017/02/04, I had lunch with Avery, Benjamin, Willow. I ate pasta..\nOn 2017/02/04, I spent 19 minutes watching a documentary on TV today..\nOn 2017/02/05, I spent 30 minutes reading a book today..\nOn 2017/02/06, I watched a movie for 41 minutes on TV today..\nOn 2017/02/07, I spent 44 talking to Claire, Lydia on various topics in the late afternoon..\nOn 2017/02/08, I did weight lifting on 2017/02/08..\nOn 2017/02/08, I had dinner. I ate sandwich..\nOn 2017/02/08, I spent 32 talking to Claire, Nora, Eva on various topics in the late afternoon..\nOn 2017/02/08, I watched a tv series for 55 minutes on TV today..\nOn 2017/02/09, I ate peanut-butter-jam for breakfast..\nOn 2017/02/10, I did biking on 2017/02/10..\nOn 2017/02/10, I spent 28 minutes reading social media today..\nOn 2017/02/11, I went grocery shopping with Willow, Jackson, Avery, Benjamin. I bought some pineapples, apricots, clementines, apples, guava juice, mineral water, orange juice, milk, and body lotion, mouthwash, toothpaste, mouth wash.\nOn 2017/02/11, I talked to Nevaeh for 53 minutes in the late afternoon..\nOn 2017/02/12, I did biking on 2017/02/12..\nOn 2017/02/12, I spent 36 talking to Nora, Avery on various topics during lunch hours..\nOn 2017/02/13, I had fish and chips for lunch with Carter, Kayden, Emily, Andrew.\nOn 2017/02/13, I talked to Kinsley, Nevaeh, Piper for 6 minutes late in the evening..\nOn 2017/02/14, I spent 19 minutes watching a documentary on TV today..\nOn 2017/02/15, I spent 48 talking to Rylee on various topics in the morning..\nOn 2017/02/15, I spent 25 minutes watching a movie on TV today..\nOn 2017/02/16, I ate indian food for lunch..\nOn 2017/02/16, I watched a movie for 9 minutes on TV today..\nOn 2017/02/17, I really enjoyed baking carrot cake, chocolate-chip mug brownie on 2017/02/17 with Emily at my place.\nOn 2017/02/18, I went grocery shopping. I bought some watermelons, mango juice, and toothbrush, paper towel.\nOn 2017/02/18, I ate eggs, sausages, and bread for breakfast..\nOn 2017/02/18, I spent 37 talking to Nevaeh, Lydia, Claire, Piper on various topics in the early evening..\nOn 2017/02/19, I ate toast and cheese for breakfast..\nOn 2017/02/20, I spent 40 minutes on social media today..\nOn 2017/02/21, I had tacos for lunch with Andrew, Kayden, Carter, Emily.\nOn 2017/02/22, I spent 10 minutes watching a tv series on TV today..\nOn 2017/02/24, I prepare pancakes for breakfast..\nOn 2017/02/25, I had lunch with Carter, Andrew. I ate chinese food..\nOn 2017/02/25, I spent 44 talking to Nora on various topics late in the evening..\nOn 2017/02/26, I had breakfast with Lydia, Piper, Hazel, Olivia, Nora, Eva, Claire, Layla. I ate cereals..\nOn 2017/02/27, I had breakfast with Andrew. I ate oatmeal..\nOn 2017/02/27, I prepare pasta for dinner..\nOn 2017/02/28, I did hiking on 2017/02/28..\nOn 2017/02/28, I ate cereals for breakfast..\nOn 2017/02/28, I watched news for 52 minutes on TV today..\nOn 2017/03/01, I did HIIT on 2017/03/01..\nOn 2017/03/02, I ate fish and chips for lunch..\nOn 2017/03/02, I had dinner. I ate indian food..\nOn 2017/03/03, I prepare toast and cheese for breakfast..\nOn 2017/03/03, I had dinner. I ate indian food..\nOn 2017/03/03, I talked to Layla for 54 minutes in the morning..\nOn 2017/03/03, I spent 29 minutes watching a tv series on TV today..\nOn 2017/03/04, I talked to Nora, Piper for 35 minutes late in the evening..\nOn 2017/03/05, I visited Paris, France for 11 days with Andrew, Emily starting on 2017/03/05.\nOn 2017/03/05, I spent 31 talking to Rylee on various topics in the early afternoon..\nOn 2017/03/06, During my trip to Paris, France, I visited Champs Elysées on 2017/03 with Andrew, Emily..\nOn 2017/03/06, I ate street food at Panificio Bonci with Andrew, Emily on  2017/03/06 when I was in Paris, France..\nOn 2017/03/07, During my trip to Paris, France, I visited Montmartre on 2017/03 with Andrew, Emily..\nOn 2017/03/07, I ate local food at Panificio Bonci with Andrew, Emily on  2017/03/07 when I was in Paris, France..\nOn 2017/03/08, During my trip to Paris, France, I visited Louvre Museum on 2017/03 with Andrew, Emily..\nOn 2017/03/08, I ate chinese food for lunch..\nOn 2017/03/08, I spent 35 minutes on a book today..\nOn 2017/03/09, During my trip to Paris, France, I visited Eiffel Tower on 2017/03 with Andrew, Emily..\nOn 2017/03/09, I had breakfast. I ate eggs, sausages, and bread..\nOn 2017/03/09, I spent 16 minutes reading news today..\nOn 2017/03/10, During my trip to Paris, France, I visited Notre Dame Cathedral on 2017/03 with Andrew, Emily..\nOn 2017/03/10, I ate street food at Man’Ouché with Andrew, Emily on  2017/03/10 when I was in Paris, France..\nOn 2017/03/10, I had breakfast with Andrew. I ate peanut-butter-jam..\nOn 2017/03/11, I ate Japanese food at Man’Ouché with Andrew, Emily on  2017/03/11 when I was in Paris, France..\nOn 2017/03/11, I bought some cherres, mangos, clementines, mandarins, chocolate milk, mineral water, pineapple juice, body lotion, shampoo, conditioner, facial wash online..\nOn 2017/03/11, I had fish and chips for lunch with Eva, Nora, Rylee, Hazel.\nOn 2017/03/12, I ate local food at Man’Ouché with Andrew, Emily on  2017/03/12 when I was in Paris, France..\nOn 2017/03/12, I had breakfast. I ate pancakes..\nOn 2017/03/12, I had lunch with Kayden, Carter, Andrew, Emily. I ate sandwich..\nOn 2017/03/13, I ate Chinese food at Man’Ouché with Andrew, Emily on  2017/03/13 when I was in Paris, France..\nOn 2017/03/13, I ate cereals for breakfast..\nOn 2017/03/13, I spent 35 minutes reading news today..\nOn 2017/03/14, I ate street food at Man’Ouché with Andrew, Emily on  2017/03/14 when I was in Paris, France..\nOn 2017/03/14, I spent 5 talking to Olivia, Piper, Rylee, Piper on various topics in the early afternoon..\nOn 2017/03/15, I ate Japanese food at Man’Ouché with Andrew, Emily on  2017/03/15 when I was in Paris, France..\nOn 2017/03/15, I watched a tv series for 11 minutes on TV today..\nOn 2017/03/16, I ate street food at Breizh Cafe with Andrew, Emily on  2017/03/16 when I was in Paris, France..\nOn 2017/03/16, I talked to Nevaeh, Hazel, Rylee, Nora for 8 minutes late in the evening..\nOn 2017/03/18, I talked to Avery for 5 minutes in the late afternoon..\nOn 2017/03/19, I did HIIT on 2017/03/19..\nOn 2017/03/19, I spent 50 minutes reading news today..\nOn 2017/03/20, I talked to Lydia, Hazel for 55 minutes during lunch hours..\nOn 2017/03/20, I spent 50 minutes watching a movie on TV today..\nOn 2017/03/22, I prepare steak for lunch..\nOn 2017/03/23, I talked to Nora, Avery, Nevaeh, Kinsley for 35 minutes in the late afternoon..\nOn 2017/03/23, I spent 19 minutes on a book today..\nOn 2017/03/24, I prepare a burger for lunch..\nOn 2017/03/24, I had dinner. I ate a burger..\nOn 2017/03/24, I spent 33 minutes reading social media today..\nOn 2017/03/26, I did weight lifting on 2017/03/26..\nOn 2017/03/26, I spent 18 minutes reading social media today..\nOn 2017/03/27, I ate sushi for dinner..\nOn 2017/03/28, I did running on 2017/03/28..\nOn 2017/03/29, I had oatmeal for breakfast with Avery, Claire, Kinsley.\nOn 2017/03/29, I talked to Piper for 37 minutes in the morning..\nOn 2017/03/30, On 2017/03/30, I took Nevaeh on a date to a coffee Shop.\nOn 2017/03/30, I did running on 2017/03/30..\nOn 2017/03/30, I ate pasta for dinner..\nOn 2017/03/30, I talked to Avery, Layla, Hazel for 21 minutes in the morning..\nOn 2017/03/30, I watched a movie for 19 minutes on TV today..\nOn 2017/03/31, I went grocery shopping. I bought some pears, oranges, bananas, mango juice, soda, pineapple juice, and shampoo, paper towel.\nOn 2017/04/01, I had lunch. I ate fish and chips..\nOn 2017/04/01, I spent 17 talking to Nevaeh on various topics late in the evening..\nOn 2017/04/01, I spent 8 minutes reading a book today..\nOn 2017/04/02, I spent 39 minutes watching news on TV today..\nOn 2017/04/03, I spent 19 talking to Nora on various topics in the early evening..\nOn 2017/04/03, I spent 33 minutes watching a tv series on TV today..\nOn 2017/04/04, I talked to Rylee, Eva for 47 minutes during lunch hours..\nOn 2017/04/04, I watched news for 44 minutes on TV today..\nOn 2017/04/05, I spent 35 minutes on a book today..\nOn 2017/04/06, I had dinner with Carter, Kayden. I ate tacos..\nOn 2017/04/07, I went on a date with Owen on 2017/04/07 at a park.\nOn 2017/04/08, I ate chinese food for dinner..\nOn 2017/04/08, I talked to Nora, Kinsley, Layla, Piper for 48 minutes in the early afternoon..\nOn 2017/04/08, I spent 5 minutes watching a movie on TV today..\nOn 2017/04/09, I talked to Kinsley, Rylee, Olivia for 20 minutes in the morning..\nOn 2017/04/11, I talked to Eva for 29 minutes during lunch hours..\nOn 2017/04/12, I ate a burger for lunch..\nOn 2017/04/12, I spent 33 minutes watching news on TV today..\nOn 2017/04/14, I spent 14 talking to Hazel, Rylee, Piper, Piper on various topics in the early afternoon..\nOn 2017/04/15, I did swimming on 2017/04/15..\nOn 2017/04/18, I had lunch. I ate fish and chips..\nOn 2017/04/18, I had sushi for dinner with Emily, Carter, Andrew, Kayden.\nOn 2017/04/18, I spent 12 talking to Piper on various topics in the morning..\nOn 2017/04/18, I spent 49 minutes watching news on TV today..\nOn 2017/04/19, I did HIIT on 2017/04/19..\nOn 2017/04/19, I had indian food for lunch with Nora, Claire, Kinsley, Avery, Nevaeh, Piper, Lydia, Layla, Hazel, Rylee, Piper, Olivia.\nOn 2017/04/21, I spent 50 talking to Lydia, Rylee, Layla, Nevaeh on various topics in the late afternoon..\nOn 2017/04/22, I ate toast and cheese for breakfast..\nOn 2017/04/22, I spent 34 talking to Claire, Nora on various topics in the early evening..\nOn 2017/04/23, I bought some watermelons, sports drinks, tea, soda, mouthwash, facial wash, toilet paper, body lotion from the grocery store. I saw Andrew at the grocery store..\nOn 2017/04/23, I had lunch with Andrew. I ate chinese food..\nOn 2017/04/23, I spent 22 talking to Piper, Nevaeh, Kinsley on various topics in the morning..\nOn 2017/04/24, I did hiking on 2017/04/24..\nOn 2017/04/24, I had breakfast. I ate eggs, sausages, and bread..\nOn 2017/04/25, I had breakfast. I ate oatmeal..\nOn 2017/04/25, I talked to Eva for 42 minutes in the morning..\nOn 2017/04/25, I spent 55 minutes reading social media today..\nOn 2017/04/26, I spent 44 talking to Piper, Kinsley, Nora, Hazel on various topics in the early evening..\nOn 2017/04/26, I spent 52 minutes on a book today..\nOn 2017/04/26, I spent 23 minutes watching news on TV today..\nOn 2017/04/27, I spent 29 talking to Nevaeh, Piper, Hazel on various topics in the morning..\nOn 2017/04/28, I ate fish and chips for dinner..\nOn 2017/04/28, I spent 52 minutes watching a documentary on TV today..\nOn 2017/04/29, I had a burger for lunch with Rylee.\nOn 2017/04/29, I prepare pasta for dinner..\nOn 2017/04/30, I did hiking on 2017/04/30..\nOn 2017/05/01, I did running on 2017/05/01..\nOn 2017/05/01, I spent 36 talking to Avery on various topics in the early evening..\nOn 2017/05/01, I spent 7 minutes on a book today..\nOn 2017/05/02, I did running on 2017/05/02..\nOn 2017/05/02, I spent 14 talking to Lydia, Piper, Nevaeh, Olivia on various topics in the morning..\nOn 2017/05/02, I spent 12 minutes on a book today..\nOn 2017/05/03, I prepare oatmeal for breakfast..\nOn 2017/05/03, I talked to Lydia for 9 minutes in the morning..\nOn 2017/05/04, I went on a date with Sadie on 2017/05/04 at a park.\nOn 2017/05/04, I spent time yoga on 2017/05/04 with Emily, Carter, Andrew..\nOn 2017/05/04, I had lunch. I ate sandwich..\nOn 2017/05/04, I had tacos for dinner with Emily, Kayden, Carter, Andrew.\nOn 2017/05/05, I talked to Claire, Piper, Nora for 20 minutes during lunch hours..\nOn 2017/05/07, I had lunch. I ate a burger..\nOn 2017/05/07, I ate pasta for dinner..\nOn 2017/05/07, I spent 41 minutes reading social media today..\nOn 2017/05/08, I had dinner with Lydia, Avery, Layla, Claire, Rylee, Hazel, Olivia, Eva, Kinsley, Nevaeh. I ate sushi..\nOn 2017/05/08, I talked to Nora, Rylee, Piper for 17 minutes in the early afternoon..\nOn 2017/05/09, I spent 36 minutes watching a tv series on TV today..\nOn 2017/05/10, I did HIIT on 2017/05/10..\nOn 2017/05/11, I spent 45 talking to Claire, Rylee, Hazel, Layla on various topics in the early afternoon..\nOn 2017/05/12, I had sandwich for dinner with Andrew, Carter, Kayden, Emily.\nOn 2017/05/13, I had breakfast. I ate cereals..\nOn 2017/05/13, I had lunch. I ate fish and chips..\nOn 2017/05/15, I prepare indian food for lunch..\nOn 2017/05/15, I spent 11 minutes watching a movie on TV today..\nOn 2017/05/18, I bought some strawberries, chocolate milk, body lotion, paper towel, facial wash online..\nOn 2017/05/18, I talked to Kinsley, Rylee for 29 minutes late in the evening..\nOn 2017/05/18, I spent 55 minutes on news today..\nOn 2017/05/19, I really enjoyed gardening on 2017/05/19.\nOn 2017/05/19, I ate oatmeal for breakfast..\nOn 2017/05/21, I had breakfast with Carter. I ate peanut-butter-jam..\nOn 2017/05/21, I ate sandwich for lunch..\nOn 2017/05/21, I had dinner. I ate chinese food..\nOn 2017/05/22, I did HIIT on 2017/05/22..\nOn 2017/05/22, I talked to Piper, Rylee, Hazel for 7 minutes in the early afternoon..\nOn 2017/05/22, I watched a documentary for 21 minutes on TV today..\nOn 2017/05/23, I talked to Olivia, Layla, Eva for 40 minutes in the early evening..\nOn 2017/05/24, I spent 14 minutes watching news on TV today..\nOn 2017/05/25, I spent 24 talking to Layla, Avery on various topics in the early afternoon..\nOn 2017/05/27, On 2017/05/27, I took Allison on a date to a restaurant.\nOn 2017/05/28, I took my parents for their for an annual physical checkup on 2017/05/28 at the hospital..\nOn 2017/05/28, I did biking on 2017/05/28..\nOn 2017/05/28, I watched a documentary for 15 minutes on TV today..\nOn 2017/05/30, I ate peanut-butter-jam for breakfast..\nOn 2017/05/30, I had lunch with Benjamin, Avery, Jackson. I ate steak..\nOn 2017/05/30, I spent 41 minutes on social media today..\nOn 2017/05/31, I had dinner with Kayden, Andrew, Emily, Carter. I ate indian food..\nOn 2017/05/31, I talked to Piper for 7 minutes in the early evening..\nOn 2017/05/31, I spent 32 minutes watching a movie on TV today..\nOn 2017/06/01, I went on a date with Emery on 2017/06/01 at a coffee Shop.\nOn 2017/06/01, I had oatmeal for breakfast with Carter, Andrew, Emily.\nOn 2017/06/01, I had indian food for lunch with Eva, Nora, Kinsley, Piper, Olivia.\nOn 2017/06/01, I spent 43 talking to Nora, Hazel, Kinsley, Olivia on various topics in the late afternoon..\nOn 2017/06/02, I ate toast and cheese for breakfast..\nOn 2017/06/02, I prepare fish and chips for dinner..\nOn 2017/06/02, I spent 19 minutes watching a tv series on TV today..\nOn 2017/06/03, I talked to Eva, Layla for 8 minutes in the late afternoon..\nOn 2017/06/03, I spent 7 minutes reading social media today..\nOn 2017/06/03, I watched a documentary for 23 minutes on TV today..\nOn 2017/06/05, On 2017/06/05, I took Carson on a date to a restaurant.\nOn 2017/06/05, I bought some guava, oranges, pears, orange juice, body lotion, paper towel, shaving cream from the grocery store. I saw Andrew, Kayden, Carter at the grocery store..\nOn 2017/06/05, I talked to Eva, Kinsley for 40 minutes during lunch hours..\nOn 2017/06/06, I talked to Eva, Rylee for 11 minutes during lunch hours..\nOn 2017/06/07, I did weight lifting on 2017/06/07..\nOn 2017/06/07, I talked to Lydia for 38 minutes in the early evening..\nOn 2017/06/08, I went on a date with Jayden on 2017/06/08 at a coffee Shop.\nOn 2017/06/09, I did hiking on 2017/06/09..\nOn 2017/06/09, I had cereals for breakfast with Jackson.\nOn 2017/06/09, I spent 12 minutes on news today..\nOn 2017/06/10, I spent 19 minutes watching a movie on TV today..\nOn 2017/06/11, I talked to Piper, Hazel for 16 minutes in the early afternoon..\nOn 2017/06/12, I did swimming on 2017/06/12..\nOn 2017/06/12, I spent 16 minutes reading news today..\nOn 2017/06/13, I did hiking on 2017/06/13..\nOn 2017/06/14, I spent 53 talking to Kinsley, Layla, Piper on various topics in the late afternoon..\nOn 2017/06/15, I had lunch with Kayden, Andrew, Carter, Emily. I ate a burger..\nOn 2017/06/15, I spent 19 talking to Claire, Avery, Nora on various topics during lunch hours..\nOn 2017/06/16, I had breakfast. I ate peanut-butter-jam..\nOn 2017/06/16, I had indian food for lunch with Emily.\nOn 2017/06/16, I talked to Avery, Nevaeh, Piper, Olivia for 52 minutes during lunch hours..\nOn 2017/06/17, I spent time yoga on 2017/06/17 with Jackson..\nOn 2017/06/17, I talked to Avery, Nora, Hazel for 16 minutes late in the evening..\nOn 2017/06/18, I had sushi for dinner with Emily.\nOn 2017/06/18, I spent 53 talking to Avery, Eva, Nevaeh, Claire on various topics in the late afternoon..\nOn 2017/06/19, I did running on 2017/06/19..\nOn 2017/06/20, I talked to Avery, Eva, Rylee for 39 minutes in the early afternoon..\nOn 2017/06/20, I watched a documentary for 21 minutes on TV today..\nOn 2017/06/21, I talked to Rylee, Piper, Piper for 30 minutes during lunch hours..\nOn 2017/06/22, I really enjoyed baking easy cherry skillet cake, lemon meringue cookies on 2017/06/22 with Willow, Jackson, Benjamin at my place.\nOn 2017/06/24, I had indian food for dinner with Emily.\nOn 2017/06/24, I spent 50 minutes on a book today..\nOn 2017/06/25, I watched news for 5 minutes on TV today..\nOn 2017/06/26, I did HIIT on 2017/06/26..\nOn 2017/06/26, I had cereals for breakfast with Emily, Carter, Kayden, Andrew.\nOn 2017/06/26, I prepare pasta for dinner..\nOn 2017/06/27, I did HIIT on 2017/06/27..\nOn 2017/06/27, I talked to Avery, Layla for 51 minutes in the late afternoon..\nOn 2017/06/28, I did hiking on 2017/06/28..\nOn 2017/06/28, I spent 35 minutes reading a book today..\nOn 2017/06/29, I spent 33 talking to Claire on various topics in the early afternoon..\nOn 2017/06/30, I prepare pasta for dinner..\nOn 2017/07/02, I went on a date with Daniel on 2017/07/02 at a boba shop.\nOn 2017/07/02, I ate a burger for lunch..\nOn 2017/07/05, I prepare steak for dinner..\nOn 2017/07/05, I talked to Avery for 49 minutes late in the evening..\nOn 2017/07/05, I spent 53 minutes watching news on TV today..\nOn 2017/07/06, I entertained Willow at my place on 2017/07/06 and bake chocolate chip cookie in a mug, easy cherry skillet cake.\nOn 2017/07/06, On 2017/07/06, I took Kennedy on a date to a restaurant.\nOn 2017/07/06, I spent some time gardening on 2017/07/06..\nOn 2017/07/06, I had breakfast with Carter, Andrew. I ate oatmeal..\nOn 2017/07/06, I ate fish and chips for lunch..\nOn 2017/07/06, I ate pasta for dinner..\nOn 2017/07/07, I did swimming on 2017/07/07..\nOn 2017/07/07, I had lunch with Eva, Piper, Lydia, Kinsley, Claire, Olivia, Piper, Layla. I ate chinese food..\nOn 2017/07/07, I had dinner. I ate pasta..\nOn 2017/07/07, I spent 17 minutes watching a tv series on TV today..\nOn 2017/07/08, I talked to Eva, Nora for 42 minutes in the early afternoon..\nOn 2017/07/10, I went on a date with Caroline on 2017/07/10 at a boba shop.\nOn 2017/07/10, I did HIIT on 2017/07/10..\nOn 2017/07/10, I watched news for 32 minutes on TV today..\nOn 2017/07/11, I spent 26 minutes on a book today..\nOn 2017/07/12, I had breakfast. I ate cereals..\nOn 2017/07/14, I did weight lifting on 2017/07/14..\nOn 2017/07/15, I spent 32 minutes watching a tv series on TV today..\nOn 2017/07/16, I ate pasta for dinner..\nOn 2017/07/16, I talked to Eva for 48 minutes during lunch hours..\nOn 2017/07/16, I spent 33 minutes on a book today..\nOn 2017/07/16, I spent 24 minutes watching news on TV today..\nOn 2017/07/17, I talked to Olivia, Hazel for 14 minutes in the early evening..\nOn 2017/07/18, I had dinner. I ate fish and chips..\nOn 2017/07/18, I spent 37 minutes on a book today..\nOn 2017/07/20, I spent 39 talking to Avery on various topics in the morning..\nOn 2017/07/21, I did hiking on 2017/07/21..\nOn 2017/07/24, I had dinner with Emily, Andrew, Carter, Kayden. I ate fish and chips..\nOn 2017/07/24, I talked to Hazel, Rylee, Avery for 32 minutes in the morning..\nOn 2017/07/25, I had dinner. I ate sandwich..\nOn 2017/07/27, I prepare tacos for dinner..\nOn 2017/07/27, I talked to Rylee, Layla for 10 minutes during lunch hours..\nOn 2017/07/29, On 2017/07/29, I took Emma on a date to a park.\nOn 2017/07/29, I had lunch. I ate indian food..\nOn 2017/07/29, I had dinner with Rylee, Nora, Claire, Eva, Olivia. I ate chinese food..\nOn 2017/07/29, I spent 32 minutes on social media today..\nOn 2017/07/30, I had breakfast with Kayden, Emily. I ate peanut-butter-jam..\nOn 2017/07/30, I had lunch with Kayden, Emily, Andrew. I ate sandwich..\nOn 2017/07/30, I prepare fish and chips for dinner..\nOn 2017/07/31, I had dinner with Emily, Kayden. I ate a burger..\nOn 2017/07/31, I spent 7 minutes reading a book today..\nOn 2017/08/01, On 2017/08/01, I took Isabella on a date to a park.\nOn 2017/08/01, I did running on 2017/08/01..\nOn 2017/08/01, I ate pasta for dinner..\nOn 2017/08/02, I spent 10 minutes watching news on TV today..\nOn 2017/08/03, I had breakfast with Kayden, Emily. I ate toast and cheese..\nOn 2017/08/04, I went grocery shopping. I bought some blueberries, tea, and mouthwash.\nOn 2017/08/05, I did hiking on 2017/08/05..\nOn 2017/08/05, I spent 32 talking to Hazel on various topics during lunch hours..\nOn 2017/08/06, I did weight lifting on 2017/08/06..\nOn 2017/08/07, I spent 39 talking to Avery, Kinsley, Nevaeh on various topics in the morning..\nOn 2017/08/08, I spent 19 minutes reading a book today..\nOn 2017/08/09, I went grocery shopping. I bought some apples, pears, apple juice, and facial wash, paper towel, mouthwash.\nOn 2017/08/09, I talked to Claire for 33 minutes in the early afternoon..\nOn 2017/08/09, I spent 21 minutes watching a movie on TV today..\nOn 2017/08/10, I did biking on 2017/08/10..\nOn 2017/08/10, I ate pancakes for breakfast..\nOn 2017/08/11, I prepare peanut-butter-jam for breakfast..\nOn 2017/08/11, I spent 46 minutes watching a tv series on TV today..\nOn 2017/08/12, I had steak for lunch with Carter.\nOn 2017/08/12, I had dinner with Andrew, Kayden. I ate tacos..\nOn 2017/08/13, I ate steak for dinner..\nOn 2017/08/14, I bought some pineapples, guava juice, mango juice, coffee, pineapple juice, toilet paper, paper towel, shaving cream online..\nOn 2017/08/14, I had dinner with Olivia, Hazel, Piper, Nora, Lydia, Avery, Kinsley, Rylee, Eva, Claire, Piper. I ate indian food..\nOn 2017/08/15, I had a burger for dinner with Rylee, Hazel, Piper, Lydia, Olivia, Piper, Eva, Layla.\nOn 2017/08/16, I spent time working out on 2017/08/16 with Eva..\nOn 2017/08/16, I prepare tacos for dinner..\nOn 2017/08/17, I went grocery shopping. I bought some cherres, blackberries, mandarins, coffee, pineapple juice, apple juice, milk, and toilet paper, mouthwash, toothpaste, body lotion.\nOn 2017/08/17, I had breakfast with Jackson, Willow. I ate eggs, sausages, and bread..\nOn 2017/08/17, I spent 54 minutes watching a tv series on TV today..\nOn 2017/08/18, I had sushi for lunch with Claire, Piper.\nOn 2017/08/20, I did swimming on 2017/08/20..\nOn 2017/08/20, I prepare a burger for dinner..\nOn 2017/08/20, I talked to Piper, Layla, Hazel, Claire for 18 minutes in the late afternoon..\nOn 2017/08/21, On 2017/08/21, I took Dylan on a date to a boba shop.\nOn 2017/08/21, I prepare peanut-butter-jam for breakfast..\nOn 2017/08/22, I did weight lifting on 2017/08/22..\nOn 2017/08/23, I took my parents for their for an annual vision checkup on 2017/08/23 at the hospital..\nOn 2017/08/23, I bought some watermelons, apples, blackberries, mineral water, shaving cream online..\nOn 2017/08/23, I did running on 2017/08/23..\nOn 2017/08/23, I had dinner. I ate indian food..\nOn 2017/08/23, I spent 39 talking to Claire, Olivia, Nora on various topics during lunch hours..\nOn 2017/08/24, I had lunch. I ate steak..\nOn 2017/08/24, I had dinner. I ate chinese food..\nOn 2017/08/24, I watched a movie for 48 minutes on TV today..\nOn 2017/08/25, I did HIIT on 2017/08/25..\nOn 2017/08/25, I spent 36 talking to Rylee, Nora, Piper, Eva on various topics in the early afternoon..\nOn 2017/08/25, I watched a movie for 53 minutes on TV today..\nOn 2017/08/26, I did swimming on 2017/08/26..\nOn 2017/08/26, I had dinner. I ate sushi..\nOn 2017/08/28, On 2017/08/28, I took Isaiah on a date to a boba shop.\nOn 2017/08/28, I spent 35 minutes on a book today..\nOn 2017/08/29, I did weight lifting on 2017/08/29..\nOn 2017/08/29, I had breakfast with Emily, Carter. I ate toast and cheese..\nOn 2017/08/29, I spent 54 talking to Piper on various topics in the late afternoon..\nOn 2017/08/30, I talked to Piper, Nora, Layla for 21 minutes during lunch hours..\nOn 2017/08/31, I did biking on 2017/08/31..\nOn 2017/08/31, I prepare pancakes for breakfast..\nOn 2017/09/02, I had breakfast with Nevaeh, Layla, Hazel, Avery, Rylee, Kinsley. I ate pancakes..\nOn 2017/09/02, I spent 29 talking to Layla on various topics late in the evening..\nOn 2017/09/02, I spent 19 minutes on social media today..\nOn 2017/09/03, I did weight lifting on 2017/09/03..\nOn 2017/09/04, I had lunch with Piper, Piper, Olivia, Claire, Avery, Hazel, Nora, Kinsley, Nevaeh, Rylee, Layla, Eva. I ate indian food..\nOn 2017/09/04, I spent 46 talking to Layla on various topics late in the evening..\nOn 2017/09/04, I watched a tv series for 33 minutes on TV today..\nOn 2017/09/05, I bought some apricots, mango juice, chocolate milk, mineral water, shaving cream, paper towel, conditioner from the grocery store. I saw Andrew at the grocery store..\nOn 2017/09/05, I watched a movie for 14 minutes on TV today..\nOn 2017/09/06, I talked to Avery, Piper for 34 minutes in the early afternoon..\nOn 2017/09/07, I talked to Kinsley, Eva for 16 minutes in the morning..\nOn 2017/09/08, I entertained Emily at my place on 2017/09/08 and bake peanut butter cookies, giant cinnamon roll, pistachio oat squares.\nOn 2017/09/08, I spent 14 talking to Nora, Nevaeh, Kinsley on various topics in the late afternoon..\nOn 2017/09/09, I had breakfast with Emily, Kayden, Carter. I ate oatmeal..\nOn 2017/09/09, I had dinner with Kayden, Carter. I ate sandwich..\nOn 2017/09/09, I watched a movie for 13 minutes on TV today..\nOn 2017/09/10, I spent 23 talking to Lydia on various topics in the late afternoon..\nOn 2017/09/10, I spent 29 minutes on a book today..\nOn 2017/09/11, I spent some time learning a language on 2017/09/11..\nOn 2017/09/11, I did weight lifting on 2017/09/11..\nOn 2017/09/11, I watched a tv series for 8 minutes on TV today..\nOn 2017/09/12, I did biking on 2017/09/12..\nOn 2017/09/13, On 2017/09/13, I took Lincoln on a date to a coffee Shop.\nOn 2017/09/14, I went grocery shopping. I bought some mangos, pineapples, blueberries, clementines, apple juice, and facial wash, toothpaste, body lotion.\nOn 2017/09/14, I watched a movie for 37 minutes on TV today..\nOn 2017/09/15, I did swimming on 2017/09/15..\nOn 2017/09/15, I had breakfast. I ate toast and cheese..\nOn 2017/09/15, I spent 29 talking to Piper on various topics late in the evening..\nOn 2017/09/16, I had breakfast. I ate toast and cheese..\nOn 2017/09/17, I prepare eggs, sausages, and bread for breakfast..\nOn 2017/09/17, I talked to Hazel, Nora, Lydia for 49 minutes late in the evening..\nOn 2017/09/18, I had lunch. I ate indian food..\nOn 2017/09/18, I spent 17 minutes on news today..\nOn 2017/09/19, I prepare steak for lunch..\nOn 2017/09/21, I prepare cereals for breakfast..\nOn 2017/09/21, I prepare steak for dinner..\nOn 2017/09/21, I talked to Layla, Nora, Claire for 25 minutes late in the evening..\nOn 2017/09/21, I spent 17 minutes reading a book today..\nOn 2017/09/22, I spent 54 minutes watching a documentary on TV today..\nOn 2017/09/24, I did biking on 2017/09/24..\nOn 2017/09/25, I talked to Piper, Piper for 7 minutes in the early afternoon..\nOn 2017/09/25, I spent 47 minutes watching news on TV today..\nOn 2017/09/26, I did swimming on 2017/09/26..\nOn 2017/09/28, I had peanut-butter-jam for breakfast with Andrew, Kayden, Carter, Emily.\nOn 2017/09/28, I prepare sushi for lunch..\nOn 2017/09/29, I prepare cereals for breakfast..\nOn 2017/09/29, I had tacos for dinner with Nora, Lydia, Rylee, Hazel, Nevaeh, Piper, Olivia, Piper, Eva, Layla, Avery, Kinsley, Claire.\nOn 2017/09/29, I talked to Avery, Lydia, Claire for 11 minutes in the late afternoon..\nOn 2017/09/30, I bought some bananas, pineapple juice, guava juice, shampoo online..\nOn 2017/09/30, I had lunch. I ate sandwich..\nOn 2017/10/02, I went grocery shopping with Nevaeh, Hazel, Avery, Olivia. I bought some mangos, milk, apple juice, guava juice, mineral water, and shaving cream, body lotion.\nOn 2017/10/02, I talked to Kinsley, Piper for 15 minutes in the early evening..\nOn 2017/10/02, I spent 48 minutes on social media today..\nOn 2017/10/04, I had breakfast. I ate peanut-butter-jam..\nOn 2017/10/05, I went on a date with Ezra on 2017/10/05 at a coffee Shop.\nOn 2017/10/05, I watched a documentary for 44 minutes on TV today..\nOn 2017/10/06, I spent 33 talking to Piper, Avery on various topics in the early evening..\nOn 2017/10/06, I spent 42 minutes watching a movie on TV today..\nOn 2017/10/07, I talked to Kinsley, Eva for 8 minutes in the morning..\nOn 2017/10/07, I spent 15 minutes on a book today..\nOn 2017/10/09, I ate fish and chips for lunch..\nOn 2017/10/09, I spent 11 minutes on social media today..\nOn 2017/10/12, I went on a date with Silas on 2017/10/12 at a restaurant.\nOn 2017/10/12, I talked to Rylee for 12 minutes during lunch hours..\nOn 2017/10/13, I had lunch with Avery, Jackson, Benjamin, Willow. I ate sushi..\nOn 2017/10/13, I watched a tv series for 7 minutes on TV today..\nOn 2017/10/14, I prepare toast and cheese for breakfast..\nOn 2017/10/14, I talked to Avery, Kinsley for 45 minutes in the morning..\nOn 2017/10/15, I went grocery shopping with Hazel, Nevaeh, Nora, Kinsley, Piper, Layla, Claire, Eva, Lydia. I bought some watermelons, nectarines, pineapple juice, apple juice, mineral water, and toilet paper.\nOn 2017/10/15, I spent 52 talking to Rylee on various topics in the early afternoon..\nOn 2017/10/16, I had lunch. I ate indian food..\nOn 2017/10/16, I had dinner with Carter. I ate steak..\nOn 2017/10/17, I had breakfast. I ate oatmeal..\nOn 2017/10/18, I did swimming on 2017/10/18..\nOn 2017/10/18, I spent 42 minutes on news today..\nOn 2017/10/19, I had breakfast with Emily, Carter, Andrew. I ate pancakes..\nOn 2017/10/20, I did weight lifting on 2017/10/20..\nOn 2017/10/20, I talked to Claire for 54 minutes during lunch hours..\nOn 2017/10/21, I went on a date with Delilah on 2017/10/21 at a park.\nOn 2017/10/21, I really enjoyed working out on 2017/10/21.\nOn 2017/10/21, I prepare pancakes for breakfast..\nOn 2017/10/22, I had breakfast. I ate eggs, sausages, and bread..\nOn 2017/10/23, I did swimming on 2017/10/23..\nOn 2017/10/23, I had toast and cheese for breakfast with Emily, Andrew, Carter, Kayden.\nOn 2017/10/23, I had sandwich for lunch with Carter, Andrew.\nOn 2017/10/24, I watched a tv series for 17 minutes on TV today..\nOn 2017/10/25, I ate chinese food for dinner..\nOn 2017/10/25, I spent 47 minutes on a book today..\nOn 2017/10/26, I had sushi for dinner with Andrew, Emily, Kayden.\nOn 2017/10/27, I went grocery shopping with Benjamin. I bought some pineapples, blueberries, mandarins, soda, pineapple juice, and mouthwash, toothpaste, toothbrush.\nOn 2017/10/27, I spent 27 minutes reading a book today..\nOn 2017/10/28, I prepare cereals for breakfast..\nOn 2017/10/28, I ate fish and chips for lunch..\nOn 2017/10/28, I spent 54 minutes reading social media today..\nOn 2017/10/29, I went on a date with Alexander on 2017/10/29 at a coffee Shop.\nOn 2017/10/29, I spent 28 talking to Layla, Claire on various topics in the early evening..\nOn 2017/10/29, I watched a movie for 43 minutes on TV today..\nOn 2017/10/30, I prepare steak for lunch..\nOn 2017/10/30, I had dinner. I ate sandwich..\nOn 2017/10/31, I did hiking on 2017/10/31..\nOn 2017/10/31, I watched a movie for 19 minutes on TV today..\nOn 2017/11/01, I spent 13 minutes on social media today..\nOn 2017/11/02, I prepare oatmeal for breakfast..\nOn 2017/11/02, I talked to Olivia, Nevaeh, Rylee, Eva for 13 minutes in the early afternoon..\nOn 2017/11/03, I ate sushi for lunch..\nOn 2017/11/03, I spent 45 talking to Piper, Piper, Nevaeh on various topics in the late afternoon..\nOn 2017/11/04, I did biking on 2017/11/04..\nOn 2017/11/04, I ate cereals for breakfast..\nOn 2017/11/04, I spent 35 minutes on news today..\nOn 2017/11/05, I did swimming on 2017/11/05..\nOn 2017/11/05, I had lunch with Carter. I ate fish and chips..\nOn 2017/11/05, I spent 10 minutes on news today..\nOn 2017/11/06, I did biking on 2017/11/06..\nOn 2017/11/06, I watched a movie for 18 minutes on TV today..\nOn 2017/11/07, I ate sushi for dinner..\nOn 2017/11/07, I spent 30 minutes reading a book today..\nOn 2017/11/08, I bought some pears, peaches, guava, apple juice, facial wash, body lotion, toilet paper from the grocery store. I saw Olivia, Rylee, Eva, Avery, Layla at the grocery store..\nOn 2017/11/08, I did biking on 2017/11/08..\nOn 2017/11/09, I did hiking on 2017/11/09..\nOn 2017/11/09, I had dinner. I ate chinese food..\nOn 2017/11/09, I talked to Nevaeh, Avery for 5 minutes in the early afternoon..\nOn 2017/11/09, I spent 37 minutes reading a book today..\nOn 2017/11/10, I had dinner with Olivia, Kinsley, Layla, Nora. I ate tacos..\nOn 2017/11/10, I spent 50 talking to Lydia, Eva, Piper, Nora on various topics during lunch hours..\nOn 2017/11/11, I spent 22 minutes on a book today..\nOn 2017/11/12, I went grocery shopping. I bought some apricots, oranges, apples, mineral water, guava juice, orange juice, milk, and mouth wash, facial wash.\nOn 2017/11/12, I watched news for 46 minutes on TV today..\nOn 2017/11/13, I did hiking on 2017/11/13..\nOn 2017/11/13, I had tacos for lunch with Andrew, Kayden, Emily, Carter.\nOn 2017/11/13, I talked to Lydia for 13 minutes in the early afternoon..\nOn 2017/11/13, I spent 20 minutes watching news on TV today..\nOn 2017/11/14, I had breakfast. I ate cereals..\nOn 2017/11/14, I had tacos for lunch with Avery, Jackson, Willow, Benjamin.\nOn 2017/11/14, I spent 31 talking to Olivia, Kinsley, Hazel on various topics during lunch hours..\nOn 2017/11/15, I went grocery shopping. I bought some clementines, watermelons, blueberries, bananas, orange juice, apple juice, and paper towel, mouthwash, toothbrush.\nOn 2017/11/15, I had breakfast with Hazel, Kinsley, Piper, Olivia, Eva, Lydia, Nora, Nevaeh, Avery, Rylee, Layla. I ate pancakes..\nOn 2017/11/15, I talked to Layla, Hazel, Lydia, Piper for 26 minutes in the early afternoon..\nOn 2017/11/15, I spent 41 minutes watching news on TV today..\nOn 2017/11/16, I really enjoyed cooking contest-winning broccoli chicken casserole on 2017/11/16 with Kayden, Andrew, Carter, Emily at my place.\nOn 2017/11/16, I spent time gardening on 2017/11/16 with Piper, Kinsley, Lydia..\nOn 2017/11/16, I had lunch. I ate a burger..\nOn 2017/11/16, I ate pasta for dinner..\nOn 2017/11/17, I spent 47 minutes on social media today..\nOn 2017/11/18, I did hiking on 2017/11/18..\nOn 2017/11/18, I ate peanut-butter-jam for breakfast..\nOn 2017/11/19, I had tacos for lunch with Carter, Andrew.\nOn 2017/11/19, I talked to Nevaeh, Eva for 13 minutes in the late afternoon..\nOn 2017/11/19, I spent 14 minutes on news today..\nOn 2017/11/20, I spent 50 talking to Lydia, Nora on various topics in the morning..\nOn 2017/11/20, I watched a documentary for 21 minutes on TV today..\nOn 2017/11/21, I did HIIT on 2017/11/21..\nOn 2017/11/21, I had lunch with Benjamin, Avery, Jackson, Willow. I ate sushi..\nOn 2017/11/21, I spent 13 talking to Hazel, Lydia, Nora, Claire on various topics late in the evening..\nOn 2017/11/22, I did swimming on 2017/11/22..\nOn 2017/11/22, I ate indian food for lunch..\nOn 2017/11/23, I ate cereals for breakfast..\nOn 2017/11/23, I talked to Olivia for 24 minutes during lunch hours..\nOn 2017/11/23, I watched a tv series for 47 minutes on TV today..\nOn 2017/11/24, I had chinese food for lunch with Emily, Carter, Kayden, Andrew.\nOn 2017/11/24, I talked to Rylee, Layla, Avery for 8 minutes during lunch hours..\nOn 2017/11/25, I ate indian food for dinner..\nOn 2017/11/25, I talked to Nora for 36 minutes in the early afternoon..\nOn 2017/11/27, I spent some time gardening on 2017/11/27..\nOn 2017/11/27, I did weight lifting on 2017/11/27..\nOn 2017/11/27, I ate chinese food for dinner..\nOn 2017/11/28, I spent 10 talking to Nevaeh on various topics in the early evening..\nOn 2017/11/30, I had lunch. I ate a burger..\nOn 2017/12/01, I spent 7 minutes on social media today..\nOn 2017/12/02, I did HIIT on 2017/12/02..\nOn 2017/12/02, I spent 12 minutes on news today..\nOn 2017/12/03, I talked to Lydia, Kinsley, Rylee, Hazel for 34 minutes in the early evening..\nOn 2017/12/04, I had fish and chips for lunch with Andrew, Kayden, Carter.\nOn 2017/12/04, I spent 44 minutes reading social media today..\nOn 2017/12/04, I watched a movie for 24 minutes on TV today..\nOn 2017/12/05, I did biking on 2017/12/05..\nOn 2017/12/05, I spent 44 minutes watching a documentary on TV today..\nOn 2017/12/06, I had dinner with Emily, Carter, Andrew. I ate a burger..\nOn 2017/12/07, I was baking vegan sugar cookies, lemon meringue cookies, birthday cupcakes with white wine buttercream on 2017/12/07 with Andrew, Emily, Kayden, Carter at my place.\nOn 2017/12/07, I had lunch. I ate indian food..\nOn 2017/12/08, I ate a burger for lunch..\nOn 2017/12/09, I did running on 2017/12/09..\nOn 2017/12/10, On 2017/12/10, I took Matthew on a date to a boba shop.\nOn 2017/12/10, I prepare peanut-butter-jam for breakfast..\nOn 2017/12/10, I had lunch. I ate steak..\nOn 2017/12/11, I ate steak for lunch..\nOn 2017/12/11, I had dinner. I ate chinese food..\nOn 2017/12/11, I talked to Kinsley, Piper, Eva for 53 minutes in the early afternoon..\nOn 2017/12/11, I spent 11 minutes reading a book today..\nOn 2017/12/12, I had lunch. I ate fish and chips..\nOn 2017/12/12, I prepare steak for dinner..\nOn 2017/12/12, I spent 14 minutes watching news on TV today..\nOn 2017/12/13, I had lunch. I ate a burger..\nOn 2017/12/13, I spent 52 minutes reading a book today..\nOn 2017/12/14, I watched a tv series for 54 minutes on TV today..\nOn 2017/12/15, I spent 31 minutes on news today..\nOn 2017/12/17, I had peanut-butter-jam for breakfast with Carter, Kayden, Andrew.\nOn 2017/12/17, I watched a tv series for 20 minutes on TV today..\nOn 2017/12/18, I did HIIT on 2017/12/18..\nOn 2017/12/18, I spent 42 minutes reading social media today..\nOn 2017/12/18, I spent 16 minutes watching a movie on TV today..\nOn 2017/12/19, I had lunch with Willow, Benjamin, Jackson. I ate fish and chips..\nOn 2017/12/19, I watched news for 23 minutes on TV today..\nOn 2017/12/21, I spent 8 minutes reading news today..\nOn 2017/12/22, I had steak for lunch with Willow, Jackson, Avery.\nOn 2017/12/22, I had tacos for dinner with Carter, Kayden.\nOn 2017/12/22, I talked to Piper, Eva, Avery, Nora for 11 minutes late in the evening..\nOn 2017/12/23, I bought some mangos, guava, pineapples, guava juice, paper towel from the grocery store. I saw Benjamin, Avery, Jackson at the grocery store..\nOn 2017/12/23, I ate oatmeal for breakfast..\nOn 2017/12/23, I watched a documentary for 42 minutes on TV today..\nOn 2017/12/24, I went grocery shopping. I bought some raspberries, sports drinks, mango juice, and mouth wash.\nOn 2017/12/24, I did weight lifting on 2017/12/24..\nOn 2017/12/24, I prepare fish and chips for lunch..\nOn 2017/12/24, I had dinner. I ate steak..\nOn 2017/12/25, I spent 55 talking to Hazel, Olivia, Nora, Avery on various topics in the early evening..\nOn 2017/12/26, I spent 14 talking to Eva, Avery, Nevaeh, Lydia on various topics during lunch hours..\nOn 2017/12/27, I had lunch. I ate indian food..\nOn 2017/12/27, I had sushi for dinner with Andrew, Carter, Emily, Kayden.\nOn 2017/12/27, I talked to Kinsley, Piper for 48 minutes in the early afternoon..\nOn 2017/12/28, I did swimming on 2017/12/28..\nOn 2017/12/28, I ate cereals for breakfast..\nOn 2017/12/28, I spent 20 minutes watching a movie on TV today..\nOn 2017/12/29, I had a burger for dinner with Layla, Nora, Kinsley, Lydia, Avery, Piper.\nOn 2017/12/29, I talked to Olivia for 15 minutes in the morning..\nOn 2017/12/29, I spent 26 minutes on social media today..\nOn 2017/12/29, I spent 22 minutes watching a tv series on TV today..\nOn 2017/12/30, I bought some pears, oranges, apples, guava, sports drinks, guava juice, pineapple juice, toothbrush from the grocery store. I saw Kinsley, Piper at the grocery store..\nOn 2017/12/31, I talked to Avery, Olivia, Nevaeh for 33 minutes in the early afternoon..\nOn 2018/01/01, I spent 24 minutes reading social media today..\nOn 2018/01/01, I ate toast and cheese for breakfast..\nOn 2018/01/02, I had dinner. I ate a burger..\nOn 2018/01/02, I spent 53 talking to Nevaeh, Layla on various topics in the early evening..\nOn 2018/01/04, I did HIIT on 2018/01/04..\nOn 2018/01/04, I prepare tacos for lunch..\nOn 2018/01/05, I did hiking on 2018/01/05..\nOn 2018/01/05, I had breakfast. I ate oatmeal..\nOn 2018/01/05, I spent 44 minutes reading news today..\nOn 2018/01/06, I talked to Avery, Piper, Nevaeh, Rylee for 15 minutes in the morning..\nOn 2018/01/07, I ate cereals for breakfast..\nOn 2018/01/07, I watched a tv series for 46 minutes on TV today..\nOn 2018/01/08, I did swimming on 2018/01/08..\nOn 2018/01/09, I had sandwich for dinner with Kayden, Andrew.\nOn 2018/01/10, I had breakfast with Layla. I ate peanut-butter-jam..\nOn 2018/01/10, I had lunch with Emily. I ate pasta..\nOn 2018/01/10, I prepare indian food for dinner..\nOn 2018/01/11, I did biking on 2018/01/11..\nOn 2018/01/11, I spent 7 minutes watching a tv series on TV today..\nOn 2018/01/13, I went grocery shopping. I bought some watermelons, pears, raspberries, guava juice, pineapple juice, chocolate milk, and conditioner, toothpaste, body lotion, mouthwash.\nOn 2018/01/13, I spent 14 minutes on a book today..\nOn 2018/01/14, I talked to Olivia for 51 minutes in the late afternoon..\nOn 2018/01/14, I spent 35 minutes watching a tv series on TV today..\nOn 2018/01/15, I did HIIT on 2018/01/15..\nOn 2018/01/15, I spent 51 minutes reading news today..\nOn 2018/01/16, I spent 5 minutes reading a book today..\nOn 2018/01/16, I spent 55 minutes watching a tv series on TV today..\nOn 2018/01/17, I really enjoyed meditation on 2018/01/17.\nOn 2018/01/17, I spent 33 minutes watching a movie on TV today..\nOn 2018/01/18, On 2018/01/18, I took Isla on a date to a park.\nOn 2018/01/19, I bought some cherres, coffee, guava juice, tea, mineral water, toothpaste from the grocery store. I saw Willow, Avery at the grocery store..\nOn 2018/01/19, I had oatmeal for breakfast with Andrew.\nOn 2018/01/19, I had lunch. I ate fish and chips..\nOn 2018/01/19, I prepare sushi for dinner..\nOn 2018/01/20, I spent some time gardening on 2018/01/20..\nOn 2018/01/20, I did swimming on 2018/01/20..\nOn 2018/01/20, I talked to Claire, Lydia, Nora, Nevaeh for 7 minutes late in the evening..\nOn 2018/01/21, I did biking on 2018/01/21..\nOn 2018/01/21, I had a burger for dinner with Emily, Kayden, Carter, Andrew.\nOn 2018/01/22, I had pancakes for breakfast with Hazel, Avery, Nevaeh, Lydia, Rylee, Layla, Piper, Olivia, Eva, Nora.\nOn 2018/01/22, I spent 44 talking to Olivia, Claire, Hazel on various topics in the early afternoon..\nOn 2018/01/22, I spent 29 minutes on news today..\nOn 2018/01/23, I had oatmeal for breakfast with Kayden, Carter, Andrew.\nOn 2018/01/23, I had fish and chips for dinner with Andrew, Emily, Kayden, Carter.\nOn 2018/01/25, I talked to Olivia, Claire, Hazel for 19 minutes in the early afternoon..\nOn 2018/01/26, I had tacos for dinner with Willow.\nOn 2018/01/26, I talked to Piper for 19 minutes in the early afternoon..\nOn 2018/01/29, I spent 5 minutes reading a book today..\nOn 2018/01/30, I spent 49 minutes watching news on TV today..\nOn 2018/01/31, I had breakfast with Kayden, Emily, Carter. I ate eggs, sausages, and bread..\nOn 2018/01/31, I prepare a burger for lunch..\nOn 2018/02/01, I ate pancakes for breakfast..\nOn 2018/02/01, I prepare a burger for lunch..\nOn 2018/02/01, I spent 51 talking to Avery, Olivia, Rylee on various topics in the early afternoon..\nOn 2018/02/01, I watched a tv series for 25 minutes on TV today..\nOn 2018/02/03, I bought some clementines, milk, apple juice, soda, body lotion, paper towel, facial wash online..\nOn 2018/02/03, I ate sandwich for lunch..\nOn 2018/02/03, I prepare tacos for dinner..\nOn 2018/02/03, I spent 22 minutes reading news today..\nOn 2018/02/05, I had lunch. I ate sushi..\nOn 2018/02/05, I prepare indian food for dinner..\nOn 2018/02/06, I went on a date with Jeremiah on 2018/02/06 at a restaurant.\nOn 2018/02/06, I did running on 2018/02/06..\nOn 2018/02/06, I had pasta for lunch with Kayden, Carter, Andrew, Emily.\nOn 2018/02/06, I spent 32 talking to Piper on various topics in the morning..\nOn 2018/02/07, I bought some mangos, peaches, apples, coffee, paper towel, conditioner, toothpaste from the grocery store. I saw Kinsley, Lydia, Claire, Layla, Avery, Piper, Rylee, Olivia at the grocery store..\nOn 2018/02/07, I prepare pasta for lunch..\nOn 2018/02/07, I ate chinese food for dinner..\nOn 2018/02/07, I spent 22 minutes watching a tv series on TV today..\nOn 2018/02/08, I ate pasta for dinner..\nOn 2018/02/09, On 2018/02/09 Kayden, Carter, Emily and I went to Bangkok, Thailand together for 13 days .\nOn 2018/02/09, I ate chinese food for lunch..\nOn 2018/02/10, During my trip to Bangkok, Thailand, I visited Grand Palace on 2018/02 with Kayden, Carter, Emily..\nOn 2018/02/10, I ate Indian food at Ratchawat Market with Kayden, Carter, Emily on  2018/02/10 when I was in Bangkok, Thailand..\nOn 2018/02/11, During my trip to Bangkok, Thailand, I visited Wat Suthat on 2018/02 with Kayden, Carter, Emily..\nOn 2018/02/11, I talked to Claire, Layla for 35 minutes in the early afternoon..\nOn 2018/02/12, During my trip to Bangkok, Thailand, I visited National Museum & Wang Na Palace on 2018/02 with Kayden, Carter, Emily..\nOn 2018/02/12, I ate Japanese food at Victory Monument with Kayden, Carter, Emily on  2018/02/12 when I was in Bangkok, Thailand..\nOn 2018/02/12, I had toast and cheese for breakfast with Emily, Carter, Andrew.\nOn 2018/02/12, I had dinner. I ate pasta..\nOn 2018/02/12, I spent 9 minutes watching news on TV today..\nOn 2018/02/13, During my trip to Bangkok, Thailand, I visited Wat Traimit on 2018/02 with Kayden, Carter, Emily..\nOn 2018/02/13, I ate Italian food at Ratchawat Market with Kayden, Carter, Emily on  2018/02/13 when I was in Bangkok, Thailand..\nOn 2018/02/14, During my trip to Bangkok, Thailand, I visited Wat Arun on 2018/02 with Kayden, Carter, Emily..\nOn 2018/02/14, I ate Italian food at Yaowarat with Kayden, Carter, Emily on  2018/02/14 when I was in Bangkok, Thailand..\nOn 2018/02/14, I spent 10 talking to Hazel on various topics in the early evening..\nOn 2018/02/15, I bought some guava, mandarins, pineapple juice, mouth wash, body lotion, shampoo, conditioner online..\nOn 2018/02/16, I did swimming on 2018/02/16..\nOn 2018/02/17, I ate Chinese food at Ratchawat Market with Kayden, Carter, Emily on  2018/02/17 when I was in Bangkok, Thailand..\nOn 2018/02/17, I spent 39 talking to Lydia, Piper, Nora, Claire on various topics late in the evening..\nOn 2018/02/17, I spent 41 minutes on news today..\nOn 2018/02/18, I ate local food at Yaowarat with Kayden, Carter, Emily on  2018/02/18 when I was in Bangkok, Thailand..\nOn 2018/02/18, I ate peanut-butter-jam for breakfast..\nOn 2018/02/18, I talked to Nora, Eva, Rylee for 33 minutes in the late afternoon..\nOn 2018/02/19, I ate street food at Victory Monument with Kayden, Carter, Emily on  2018/02/19 when I was in Bangkok, Thailand..\nOn 2018/02/19, I spent 48 minutes watching a movie on TV today..\nOn 2018/02/20, I ate Italian food at Yaowarat with Kayden, Carter, Emily on  2018/02/20 when I was in Bangkok, Thailand..\nOn 2018/02/20, I went grocery shopping. I bought some blueberries, raspberries, nectarines, blackberries, apple juice, mineral water, orange juice, coffee, and shampoo, toothbrush.\nOn 2018/02/20, I spent 48 talking to Olivia, Avery, Piper, Nora on various topics in the late afternoon..\nOn 2018/02/21, I ate Chinese food at Yaowarat with Kayden, Carter, Emily on  2018/02/21 when I was in Bangkok, Thailand..\nOn 2018/02/21, I ate cereals for breakfast..\nOn 2018/02/21, I talked to Avery, Nora, Nevaeh for 44 minutes in the morning..\nOn 2018/02/22, I ate local food at Victory Monument with Kayden, Carter, Emily on  2018/02/22 when I was in Bangkok, Thailand..\nOn 2018/02/23, I spent 20 minutes watching a tv series on TV today..\nOn 2018/02/24, I really enjoyed cooking swedish meatball recipe, chicken cordon bleu skillet on 2018/02/24 with Andrew at my place.\nOn 2018/02/24, I really enjoyed working out on 2018/02/24.\nOn 2018/02/24, I had lunch with Avery, Hazel, Kinsley, Rylee, Piper, Piper, Nora, Olivia, Eva. I ate indian food..\nOn 2018/02/25, I did hiking on 2018/02/25..\nOn 2018/02/25, I prepare eggs, sausages, and bread for breakfast..\nOn 2018/02/25, I spent 10 minutes on social media today..\nOn 2018/02/25, I watched a movie for 5 minutes on TV today..\nOn 2018/02/26, I went grocery shopping with Andrew. I bought some guava, blueberries, soda, and shampoo.\nOn 2018/02/26, I did swimming on 2018/02/26..\nOn 2018/02/26, I spent 46 minutes reading social media today..\nOn 2018/02/27, I really enjoyed learning a language on 2018/02/27.\nOn 2018/02/27, I talked to Piper, Olivia for 36 minutes in the early afternoon..\nOn 2018/02/28, I did swimming on 2018/02/28..\nOn 2018/03/01, I ate peanut-butter-jam for breakfast..\nOn 2018/03/01, I spent 26 talking to Claire, Lydia on various topics in the late afternoon..\nOn 2018/03/02, I had chinese food for dinner with Benjamin.\nOn 2018/03/03, I spent 11 talking to Nora, Avery, Layla, Lydia on various topics in the late afternoon..\nOn 2018/03/03, I spent 50 minutes watching a documentary on TV today..\nOn 2018/03/04, I watched news for 8 minutes on TV today..\nOn 2018/03/05, I prepare sushi for lunch..\nOn 2018/03/07, I spent 13 talking to Claire, Olivia, Nora, Piper on various topics in the late afternoon..\nOn 2018/03/07, I spent 10 minutes on news today..\nOn 2018/03/07, I watched news for 45 minutes on TV today..\nOn 2018/03/08, I spent 28 minutes reading news today..\nOn 2018/03/09, I ate steak for dinner..\nOn 2018/03/10, On 2018/03/10, I took Charles on a date to a restaurant.\nOn 2018/03/10, I prepare pasta for lunch..\nOn 2018/03/11, I went grocery shopping with Lydia, Claire, Kinsley. I bought some watermelons, bananas, pineapples, guava juice, orange juice, pineapple juice, milk, and mouthwash, conditioner.\nOn 2018/03/12, I had dinner. I ate tacos..\nOn 2018/03/13, I prepare a burger for lunch..\nOn 2018/03/14, I did hiking on 2018/03/14..\nOn 2018/03/14, I ate a burger for dinner..\nOn 2018/03/14, I spent 8 minutes reading news today..\nOn 2018/03/15, I had lunch. I ate steak..\nOn 2018/03/15, I talked to Piper, Avery, Olivia, Rylee for 44 minutes in the late afternoon..\nOn 2018/03/16, I spent 43 talking to Eva, Nevaeh, Hazel on various topics in the early afternoon..\nOn 2018/03/16, I spent 28 minutes watching news on TV today..\nOn 2018/03/17, I did HIIT on 2018/03/17..\nOn 2018/03/17, I ate oatmeal for breakfast..\nOn 2018/03/18, I prepare indian food for lunch..\nOn 2018/03/18, I had dinner. I ate fish and chips..\nOn 2018/03/20, I did biking on 2018/03/20..\nOn 2018/03/20, I had lunch. I ate pasta..\nOn 2018/03/20, I talked to Lydia, Avery for 19 minutes in the late afternoon..\nOn 2018/03/20, I watched a movie for 7 minutes on TV today..\nOn 2018/03/21, I did biking on 2018/03/21..\nOn 2018/03/22, I talked to Avery for 42 minutes in the early afternoon..\nOn 2018/03/23, I had steak for dinner with Andrew, Carter, Emily.\nOn 2018/03/23, I spent 46 talking to Lydia, Hazel on various topics in the early evening..\nOn 2018/03/24, I talked to Avery for 9 minutes in the late afternoon..\nOn 2018/03/25, I did running on 2018/03/25..\nOn 2018/03/25, I talked to Olivia, Nora, Nevaeh, Piper for 26 minutes during lunch hours..\nOn 2018/03/27, I did swimming on 2018/03/27..\nOn 2018/03/27, I spent 44 talking to Nora, Piper on various topics in the late afternoon..\nOn 2018/03/28, I went grocery shopping. I bought some apples, blueberries, pineapples, tea, orange juice, and toilet paper, paper towel, shaving cream, mouth wash.\nOn 2018/03/28, I talked to Rylee, Lydia, Piper, Piper for 31 minutes in the early evening..\nOn 2018/03/28, I spent 5 minutes reading news today..\nOn 2018/03/30, I spent time learning a language on 2018/03/30 with Avery..\nOn 2018/03/30, I had indian food for dinner with Avery, Nora, Nevaeh, Olivia, Eva, Piper, Lydia, Piper, Kinsley, Hazel, Rylee.\nOn 2018/03/31, I bought some guava, clementines, pears, guava juice, tea, sports drinks, toothbrush, facial wash from the grocery store. I saw Willow, Jackson, Avery at the grocery store..\nOn 2018/03/31, I had oatmeal for breakfast with Kayden, Emily, Carter.\nOn 2018/04/01, I prepare steak for dinner..\nOn 2018/04/01, I spent 38 talking to Layla, Rylee, Kinsley on various topics in the early evening..\nOn 2018/04/02, I went on a date with Henry on 2018/04/02 at a coffee Shop.\nOn 2018/04/02, I had breakfast. I ate toast and cheese..\nOn 2018/04/02, I had dinner. I ate fish and chips..\nOn 2018/04/03, I spent 7 talking to Claire, Piper, Kinsley, Avery on various topics in the early afternoon..\nOn 2018/04/06, I talked to Eva, Piper for 36 minutes during lunch hours..\nOn 2018/04/07, I watched a movie for 47 minutes on TV today..\nOn 2018/04/08, I ate tacos for dinner..\nOn 2018/04/08, I spent 41 minutes watching a documentary on TV today..\nOn 2018/04/09, On 2018/04/09, I took Jaxon on a date to a coffee Shop.\nOn 2018/04/09, I spent 24 minutes on a book today..\nOn 2018/04/10, I had lunch. I ate sushi..\nOn 2018/04/10, I spent 42 minutes watching a tv series on TV today..\nOn 2018/04/11, I did HIIT on 2018/04/11..\nOn 2018/04/12, On 2018/04/12, I took Nathan on a date to a restaurant.\nOn 2018/04/12, I did HIIT on 2018/04/12..\nOn 2018/04/12, I prepare toast and cheese for breakfast..\nOn 2018/04/12, I spent 11 minutes watching news on TV today..\nOn 2018/04/13, I went grocery shopping with Avery, Kinsley, Nevaeh, Olivia, Piper, Hazel, Rylee, Lydia. I bought some blackberries, milk, mango juice, pineapple juice, and paper towel, shaving cream, toothbrush.\nOn 2018/04/13, I did hiking on 2018/04/13..\nOn 2018/04/13, I spent 50 talking to Claire, Kinsley, Layla, Lydia on various topics in the early evening..\nOn 2018/04/13, I spent 38 minutes on a book today..\nOn 2018/04/14, I did biking on 2018/04/14..\nOn 2018/04/14, I talked to Piper, Nevaeh, Claire for 41 minutes in the early evening..\nOn 2018/04/15, I did hiking on 2018/04/15..\nOn 2018/04/15, I had a burger for lunch with Andrew, Emily.\nOn 2018/04/16, I spent 17 minutes on a book today..\nOn 2018/04/17, I did biking on 2018/04/17..\nOn 2018/04/17, I had dinner with Emily, Andrew, Kayden, Carter. I ate sandwich..\nOn 2018/04/17, I talked to Nora, Olivia for 11 minutes in the late afternoon..\nOn 2018/04/18, I spent 52 minutes watching a movie on TV today..\nOn 2018/04/19, I did HIIT on 2018/04/19..\nOn 2018/04/19, I ate sandwich for dinner..\nOn 2018/04/20, I had dinner with Kayden, Emily, Andrew, Carter. I ate sushi..\nOn 2018/04/20, I spent 42 minutes on a book today..\nOn 2018/04/21, On 2018/04/21, I took David on a date to a park.\nOn 2018/04/21, I watched a movie for 14 minutes on TV today..\nOn 2018/04/22, I went grocery shopping with Nora, Nevaeh, Avery, Olivia, Kinsley. I bought some blueberries, pears, chocolate milk, guava juice, and toothbrush, facial wash, mouthwash.\nOn 2018/04/25, I went for an annual physical checkup on 2018/04/25 at the private clinic..\nOn 2018/04/25, I did biking on 2018/04/25..\nOn 2018/04/25, I prepare oatmeal for breakfast..\nOn 2018/04/25, I ate sushi for lunch..\nOn 2018/04/25, I had a burger for dinner with Nora, Eva, Olivia, Nevaeh, Kinsley, Hazel, Lydia, Claire, Piper, Avery, Piper, Rylee, Layla.\nOn 2018/04/26, I ate cereals for breakfast..\nOn 2018/04/26, I spent 21 talking to Avery on various topics in the morning..\nOn 2018/04/27, I ate fish and chips for dinner..\nOn 2018/04/27, I watched a movie for 41 minutes on TV today..\nOn 2018/04/28, I ate fish and chips for dinner..\nOn 2018/04/29, I ate pancakes for breakfast..\nOn 2018/04/29, I talked to Hazel, Lydia for 47 minutes in the early evening..\nOn 2018/04/29, I spent 35 minutes watching a documentary on TV today..\nOn 2018/04/30, I bought some oranges, blackberries, mangos, watermelons, milk, guava juice, sports drinks, mouth wash, facial wash, paper towel, toilet paper from the grocery store. I saw Willow at the grocery store..\nOn 2018/04/30, I talked to Hazel, Olivia, Claire, Piper for 44 minutes in the morning..\nOn 2018/04/30, I spent 55 minutes watching a movie on TV today..\nOn 2018/05/01, I ate sushi for lunch..\nOn 2018/05/01, I spent 39 talking to Lydia, Piper, Kinsley, Avery on various topics late in the evening..\nOn 2018/05/02, I really enjoyed cooking broccoli-stuffed chicken, lo mein, gado gado on 2018/05/02 with Carter, Andrew at my place.\nOn 2018/05/02, I spent 22 talking to Hazel, Claire, Eva on various topics during lunch hours..\nOn 2018/05/03, I did biking on 2018/05/03..\nOn 2018/05/03, I spent 40 talking to Claire on various topics in the early afternoon..\nOn 2018/05/03, I spent 25 minutes reading news today..\nOn 2018/05/04, I did running on 2018/05/04..\nOn 2018/05/04, I spent 47 minutes reading a book today..\nOn 2018/05/06, I did weight lifting on 2018/05/06..\nOn 2018/05/06, I prepare toast and cheese for breakfast..\nOn 2018/05/06, I spent 51 minutes reading social media today..\nOn 2018/05/07, I had dinner. I ate sandwich..\nOn 2018/05/08, I had breakfast. I ate toast and cheese..\nOn 2018/05/09, I had breakfast with Jackson, Willow. I ate oatmeal..\nOn 2018/05/10, I bought some pears, mango juice, milk, pineapple juice, shampoo from the grocery store. I saw Emily, Andrew, Kayden at the grocery store..\nOn 2018/05/11, I spent 14 minutes reading news today..\nOn 2018/05/12, I had cereals for breakfast with Andrew, Emily, Carter, Kayden.\nOn 2018/05/12, I prepare steak for dinner..\nOn 2018/05/12, I spent 7 talking to Piper, Avery on various topics in the early afternoon..\nOn 2018/05/13, I prepare peanut-butter-jam for breakfast..\nOn 2018/05/14, I did swimming on 2018/05/14..\nOn 2018/05/14, I ate sushi for lunch..\nOn 2018/05/14, I talked to Eva, Rylee, Nora for 38 minutes during lunch hours..\nOn 2018/05/15, I did weight lifting on 2018/05/15..\nOn 2018/05/15, I ate peanut-butter-jam for breakfast..\nOn 2018/05/15, I talked to Olivia, Lydia, Avery for 21 minutes in the late afternoon..\nOn 2018/05/17, I went on a date with Owen on 2018/05/17 at a restaurant.\nOn 2018/05/17, I had pancakes for breakfast with Emily, Andrew, Kayden, Carter.\nOn 2018/05/17, I talked to Eva, Nevaeh, Rylee, Layla for 9 minutes in the early evening..\nOn 2018/05/17, I watched a tv series for 49 minutes on TV today..\nOn 2018/05/19, I did running on 2018/05/19..\nOn 2018/05/21, I talked to Nora, Rylee, Piper for 27 minutes in the morning..\nOn 2018/05/22, I really enjoyed gardening on 2018/05/22.\nOn 2018/05/22, I prepare indian food for dinner..\nOn 2018/05/22, I talked to Claire, Piper, Nevaeh, Layla for 31 minutes during lunch hours..\nOn 2018/05/23, I had lunch. I ate fish and chips..\nOn 2018/05/23, I talked to Lydia, Claire, Piper for 9 minutes in the early evening..\nOn 2018/05/24, I did biking on 2018/05/24..\nOn 2018/05/24, I had breakfast with Andrew, Kayden. I ate peanut-butter-jam..\nOn 2018/05/24, I prepare a burger for lunch..\nOn 2018/05/25, I prepare pasta for dinner..\nOn 2018/05/25, I spent 18 minutes on social media today..\nOn 2018/05/26, I really enjoyed meditation on 2018/05/26.\nOn 2018/05/26, I bought some apricots, raspberries, cherres, clementines, coffee, shampoo, facial wash from the grocery store. I saw Kayden, Emily, Carter, Andrew at the grocery store..\nOn 2018/05/26, I talked to Avery, Layla, Lydia for 22 minutes during lunch hours..\nOn 2018/05/26, I spent 47 minutes on social media today..\nOn 2018/05/27, I really enjoyed baking blackberry-raspberry skillet cobbler on 2018/05/27 with Lydia at my place.\nOn 2018/05/27, I spent 16 talking to Piper, Eva, Layla on various topics late in the evening..\nOn 2018/05/28, I bought some clementines, mango juice, shaving cream, conditioner, body lotion from the grocery store. I saw Rylee, Avery, Eva at the grocery store..\nOn 2018/05/28, I talked to Lydia, Eva, Layla, Nora for 20 minutes during lunch hours..\nOn 2018/05/28, I spent 20 minutes reading news today..\nOn 2018/05/28, I spent 25 minutes watching news on TV today..\nOn 2018/05/29, I did HIIT on 2018/05/29..\nOn 2018/05/30, I spent 25 minutes watching a movie on TV today..\nOn 2018/05/31, I prepare oatmeal for breakfast..\nOn 2018/05/31, I watched a movie for 6 minutes on TV today..\nOn 2018/06/01, I had toast and cheese for breakfast with Emily, Andrew.\nOn 2018/06/01, I spent 24 talking to Avery, Rylee on various topics in the late afternoon..\nOn 2018/06/02, I had tacos for lunch with Lydia, Nora, Piper, Nevaeh, Rylee, Avery, Eva.\nOn 2018/06/02, I talked to Lydia for 33 minutes during lunch hours..\nOn 2018/06/03, I ate peanut-butter-jam for breakfast..\nOn 2018/06/03, I prepare indian food for lunch..\nOn 2018/06/03, I spent 27 talking to Piper, Hazel, Eva on various topics in the early afternoon..\nOn 2018/06/04, I had sandwich for lunch with Avery, Benjamin, Jackson, Willow.\nOn 2018/06/04, I spent 14 minutes reading news today..\nOn 2018/06/05, I had breakfast with Willow, Avery, Jackson, Benjamin. I ate eggs, sausages, and bread..\nOn 2018/06/06, I did running on 2018/06/06..\nOn 2018/06/06, I prepare pancakes for breakfast..\nOn 2018/06/07, I spent 7 talking to Piper, Layla, Piper, Hazel on various topics during lunch hours..\nOn 2018/06/08, I spent 19 minutes on social media today..\nOn 2018/06/13, I had peanut-butter-jam for breakfast with Claire, Nevaeh, Kinsley, Lydia, Olivia, Piper, Nora, Piper, Hazel, Avery.\nOn 2018/06/13, I had lunch. I ate sandwich..\nOn 2018/06/14, I had lunch. I ate indian food..\nOn 2018/06/15, I had lunch with Hazel, Olivia, Piper, Avery, Lydia, Rylee, Piper, Eva, Kinsley, Layla, Claire, Nora, Nevaeh. I ate chinese food..\nOn 2018/06/15, I spent 10 minutes watching a movie on TV today..\nOn 2018/06/16, I went grocery shopping. I bought some pineapples, bananas, oranges, clementines, chocolate milk, and paper towel, toothpaste.\nOn 2018/06/16, I spent 33 minutes watching a movie on TV today..\nOn 2018/06/17, I went on a date with Daniel on 2018/06/17 at a coffee Shop.\nOn 2018/06/17, I had breakfast with Kayden, Emily. I ate toast and cheese..\nOn 2018/06/17, I watched a documentary for 34 minutes on TV today..\nOn 2018/06/18, I had breakfast with Avery, Willow. I ate cereals..\nOn 2018/06/19, I spent time yoga on 2018/06/19 with Benjamin..\nOn 2018/06/19, I did weight lifting on 2018/06/19..\nOn 2018/06/19, I ate toast and cheese for breakfast..\nOn 2018/06/20, I had pasta for dinner with Benjamin, Willow, Avery, Jackson.\nOn 2018/06/20, I talked to Piper, Avery, Eva for 55 minutes in the late afternoon..\nOn 2018/06/23, I had cereals for breakfast with Nora, Olivia, Kinsley, Claire, Layla, Piper.\nOn 2018/06/24, I spent 31 minutes on news today..\nOn 2018/06/25, I prepare chinese food for dinner..\nOn 2018/06/25, I spent 18 minutes watching a movie on TV today..\nOn 2018/06/26, I talked to Kinsley, Layla, Eva, Claire for 28 minutes in the early afternoon..\nOn 2018/06/26, I spent 54 minutes watching a tv series on TV today..\nOn 2018/06/27, I spent 50 minutes watching a tv series on TV today..\nOn 2018/06/28, I spent some time meditation on 2018/06/28..\nOn 2018/06/28, I talked to Piper, Kinsley for 36 minutes late in the evening..\nOn 2018/06/29, I went on a date with Elijah on 2018/06/29 at a restaurant.\nOn 2018/06/29, I had sandwich for dinner with Layla, Hazel, Olivia, Lydia, Nevaeh, Piper, Eva, Kinsley, Piper, Avery, Rylee, Claire, Nora.\nOn 2018/07/01, I ate a burger for dinner..\nOn 2018/07/02, I spent 49 talking to Nevaeh on various topics in the early evening..\nOn 2018/07/04, I entertained Jackson, Willow, Benjamin at my place on 2018/07/04 and bake peanut butter cookies, chocolate chip cookie in a mug, carrot cake.\nOn 2018/07/04, I did hiking on 2018/07/04..\nOn 2018/07/04, I prepare sushi for lunch..\nOn 2018/07/05, I spent 38 minutes on a book today..\nOn 2018/07/06, I did hiking on 2018/07/06..\nOn 2018/07/06, I ate toast and cheese for breakfast..\nOn 2018/07/06, I spent 37 minutes reading social media today..\nOn 2018/07/06, I spent 6 minutes watching a documentary on TV today..\nOn 2018/07/07, On 2018/07/07, I took James on a date to a restaurant.\nOn 2018/07/07, I did swimming on 2018/07/07..\nOn 2018/07/07, I had lunch with Andrew, Carter. I ate tacos..\nOn 2018/07/07, I watched news for 18 minutes on TV today..\nOn 2018/07/08, I did running on 2018/07/08..\nOn 2018/07/08, I watched news for 12 minutes on TV today..\nOn 2018/07/09, I ate tacos for lunch..\nOn 2018/07/09, I talked to Piper, Rylee for 51 minutes in the late afternoon..\nOn 2018/07/10, I spent 29 minutes on social media today..\nOn 2018/07/11, I talked to Rylee, Piper, Kinsley, Piper for 55 minutes during lunch hours..\nOn 2018/07/12, I did weight lifting on 2018/07/12..\nOn 2018/07/12, I watched a documentary for 30 minutes on TV today..\nOn 2018/07/13, I ate fish and chips for lunch..\nOn 2018/07/13, I had dinner with Claire, Kinsley, Nevaeh, Piper, Eva. I ate steak..\nOn 2018/07/14, I took my parents for their for an annual dental cleaning and checkup on 2018/07/14 at the university hospital..\nOn 2018/07/14, I had dinner. I ate chinese food..\nOn 2018/07/15, I did HIIT on 2018/07/15..\nOn 2018/07/16, I went grocery shopping with Kayden, Emily. I bought some blueberries, nectarines, pears, mangos, tea, and mouth wash, toothbrush, shampoo, toilet paper.\nOn 2018/07/16, I spent 31 minutes on social media today..\nOn 2018/07/16, I watched a documentary for 25 minutes on TV today..\nOn 2018/07/17, I had breakfast with Kayden. I ate cereals..\nOn 2018/07/18, I did HIIT on 2018/07/18..\nOn 2018/07/19, I prepare eggs, sausages, and bread for breakfast..\nOn 2018/07/20, I went grocery shopping with Kayden, Emily. I bought some guava, pears, pineapple juice, mango juice, tea, and mouthwash, toothpaste.\nOn 2018/07/20, I had dinner. I ate indian food..\nOn 2018/07/20, I spent 11 minutes watching news on TV today..\nOn 2018/07/22, I talked to Avery, Layla, Nevaeh, Claire for 17 minutes late in the evening..\nOn 2018/07/23, I had cereals for breakfast with Layla, Olivia, Claire, Lydia, Nora, Eva, Rylee, Avery, Piper, Hazel.\nOn 2018/07/23, I spent 29 minutes on news today..\nOn 2018/07/24, On 2018/07/24, I took Autumn on a date to a restaurant.\nOn 2018/07/24, I did HIIT on 2018/07/24..\nOn 2018/07/24, I had breakfast. I ate toast and cheese..\nOn 2018/07/25, I did hiking on 2018/07/25..\nOn 2018/07/26, I spent 20 talking to Avery, Lydia on various topics in the early evening..\nOn 2018/07/27, I spent 6 talking to Eva, Piper, Hazel on various topics in the morning..\nOn 2018/07/28, I ate a burger for dinner..\nOn 2018/07/28, I spent 13 minutes on a book today..\nOn 2018/07/29, I spent time learning a language on 2018/07/29 with Willow, Avery..\nOn 2018/07/29, I had peanut-butter-jam for breakfast with Rylee, Olivia, Piper.\nOn 2018/07/30, I did swimming on 2018/07/30..\nOn 2018/07/30, I prepare peanut-butter-jam for breakfast..\nOn 2018/07/30, I prepare steak for dinner..\nOn 2018/07/31, I spent 26 minutes reading news today..\nOn 2018/08/01, I had breakfast with Jackson. I ate pancakes..\nOn 2018/08/01, I talked to Claire, Avery for 12 minutes late in the evening..\nOn 2018/08/04, I ate sandwich for dinner..\nOn 2018/08/04, I spent 29 talking to Nora on various topics in the late afternoon..\nOn 2018/08/05, I had dinner with Willow, Avery. I ate sandwich..\nOn 2018/08/05, I talked to Hazel, Piper, Layla for 51 minutes during lunch hours..\nOn 2018/08/05, I spent 55 minutes reading news today..\nOn 2018/08/06, I really enjoyed gardening on 2018/08/06.\nOn 2018/08/07, I bought some clementines, guava juice, mouthwash online..\nOn 2018/08/07, I did hiking on 2018/08/07..\nOn 2018/08/07, I spent 11 minutes watching news on TV today..\nOn 2018/08/08, I had dinner. I ate a burger..\nOn 2018/08/09, I went grocery shopping with Emily, Andrew, Kayden, Carter. I bought some pears, tea, and paper towel.\nOn 2018/08/09, I spent 8 talking to Piper, Nora on various topics during lunch hours..\nOn 2018/08/11, I watched a documentary for 27 minutes on TV today..\nOn 2018/08/12, I ate pasta for lunch..\nOn 2018/08/12, I had dinner with Emily, Carter. I ate a burger..\nOn 2018/08/12, I spent 13 minutes watching a documentary on TV today..\nOn 2018/08/13, I had dinner. I ate fish and chips..\nOn 2018/08/13, I watched a documentary for 46 minutes on TV today..\nOn 2018/08/16, I ate eggs, sausages, and bread for breakfast..\nOn 2018/08/16, I talked to Rylee, Lydia, Olivia, Kinsley for 39 minutes in the morning..\nOn 2018/08/16, I spent 19 minutes watching a movie on TV today..\nOn 2018/08/17, I spent time working out on 2018/08/17 with Kayden, Andrew..\nOn 2018/08/17, I ate pasta for lunch..\nOn 2018/08/17, I talked to Rylee, Avery for 33 minutes in the morning..\nOn 2018/08/18, I watched news for 34 minutes on TV today..\nOn 2018/08/19, I went on a date with Aaron on 2018/08/19 at a coffee Shop.\nOn 2018/08/20, I went grocery shopping with Layla. I bought some blueberries, clementines, blackberries, mangos, coffee, and toothpaste.\nOn 2018/08/20, I had dinner with Avery, Jackson, Willow. I ate sushi..\nOn 2018/08/21, On 2018/08/21, I took Chris on a date to a boba shop.\nOn 2018/08/21, I really enjoyed yoga on 2018/08/21.\nOn 2018/08/22, I did weight lifting on 2018/08/22..\nOn 2018/08/22, I talked to Nevaeh, Lydia, Avery, Rylee for 45 minutes in the morning..\nOn 2018/08/25, I prepare eggs, sausages, and bread for breakfast..\nOn 2018/08/25, I had fish and chips for lunch with Eva, Piper, Claire, Nora, Avery, Piper, Lydia, Layla.\nOn 2018/08/25, I spent 5 minutes watching a tv series on TV today..\nOn 2018/08/27, I bought some clementines, milk, mineral water, mango juice, pineapple juice, paper towel, shaving cream online..\nOn 2018/08/28, I had cereals for breakfast with Emily, Carter.\nOn 2018/08/28, I talked to Claire, Nora, Piper, Kinsley for 20 minutes in the morning..\nOn 2018/08/28, I spent 52 minutes on a book today..\nOn 2018/08/29, I ate oatmeal for breakfast..\nOn 2018/08/30, I ate indian food for lunch..\nOn 2018/08/30, I prepare sandwich for dinner..\nOn 2018/08/30, I talked to Claire, Rylee, Kinsley for 32 minutes in the early afternoon..\nOn 2018/09/01, I ate fish and chips for dinner..\nOn 2018/09/01, I watched a movie for 24 minutes on TV today..\nOn 2018/09/02, I spent 24 minutes reading social media today..\nOn 2018/09/03, I had breakfast. I ate eggs, sausages, and bread..\nOn 2018/09/03, I spent 43 talking to Claire, Piper, Piper on various topics during lunch hours..\nOn 2018/09/03, I spent 35 minutes watching a documentary on TV today..\nOn 2018/09/04, I went on a date with Isaac on 2018/09/04 at a park.\nOn 2018/09/04, I had dinner with Avery. I ate a burger..\nOn 2018/09/04, I talked to Lydia for 55 minutes late in the evening..\nOn 2018/09/05, I spent 51 talking to Claire, Hazel on various topics in the early afternoon..\nOn 2018/09/06, I spent 22 minutes reading social media today..\nOn 2018/09/08, I was cooking chinese vegetable stir-fry, vietnamese coffee, cube steak and gravy on 2018/09/08 with Eva, Piper at my place.\nOn 2018/09/08, I talked to Rylee, Piper for 25 minutes late in the evening..\nOn 2018/09/10, I had fish and chips for dinner with Carter, Emily, Andrew, Kayden.\nOn 2018/09/10, I spent 18 minutes reading news today..\nOn 2018/09/11, I spent 35 talking to Layla, Piper, Hazel on various topics during lunch hours..\nOn 2018/09/12, I had dinner with Andrew, Kayden, Emily. I ate fish and chips..\nOn 2018/09/13, I had breakfast. I ate cereals..\nOn 2018/09/13, I spent 42 talking to Avery, Kinsley on various topics late in the evening..\nOn 2018/09/13, I spent 9 minutes on a book today..\nOn 2018/09/13, I spent 43 minutes watching a tv series on TV today..\nOn 2018/09/14, I had pancakes for breakfast with Andrew, Carter, Emily.\nOn 2018/09/14, I ate indian food for lunch..\nOn 2018/09/14, I spent 39 minutes watching a documentary on TV today..\nOn 2018/09/15, I did running on 2018/09/15..\nOn 2018/09/16, I had lunch. I ate indian food..\nOn 2018/09/16, I spent 51 talking to Layla, Piper, Eva, Olivia on various topics in the early evening..\nOn 2018/09/18, I ate indian food for dinner..\nOn 2018/09/20, I did biking on 2018/09/20..\nOn 2018/09/20, I had oatmeal for breakfast with Piper, Nora, Rylee, Hazel, Nevaeh, Lydia, Avery, Olivia.\nOn 2018/09/22, I did running on 2018/09/22..\nOn 2018/09/22, I spent 47 talking to Lydia, Eva, Hazel, Nevaeh on various topics late in the evening..\nOn 2018/09/23, I bought some apricots, strawberries, mandarins, cherres, coffee, mouthwash, toothbrush, toilet paper, shaving cream online..\nOn 2018/09/23, I did hiking on 2018/09/23..\nOn 2018/09/23, I spent 53 talking to Nora, Nevaeh, Avery, Claire on various topics in the early afternoon..\nOn 2018/09/24, I watched a movie for 47 minutes on TV today..\nOn 2018/09/25, I ate chinese food for lunch..\nOn 2018/09/25, I spent 40 minutes watching news on TV today..\nOn 2018/09/26, I did weight lifting on 2018/09/26..\nOn 2018/09/26, I spent 29 talking to Layla, Piper on various topics in the early evening..\nOn 2018/09/27, I did HIIT on 2018/09/27..\nOn 2018/09/27, I had peanut-butter-jam for breakfast with Andrew.\nOn 2018/09/27, I had lunch. I ate steak..\nOn 2018/09/27, I talked to Rylee, Piper, Piper, Nevaeh for 45 minutes late in the evening..\nOn 2018/09/28, I ate sushi for lunch..\nOn 2018/09/28, I had dinner. I ate pasta..\nOn 2018/09/29, I talked to Avery for 26 minutes in the morning..\nOn 2018/10/01, I had dinner. I ate sushi..\nOn 2018/10/01, I spent 30 minutes watching news on TV today..\nOn 2018/10/02, I went on a date with Piper on 2018/10/02 at a boba shop.\nOn 2018/10/02, I did hiking on 2018/10/02..\nOn 2018/10/02, I ate pasta for dinner..\nOn 2018/10/02, I watched a tv series for 26 minutes on TV today..\nOn 2018/10/03, I spent 35 minutes on a book today..\nOn 2018/10/04, I did weight lifting on 2018/10/04..\nOn 2018/10/04, I had breakfast with Andrew. I ate pancakes..\nOn 2018/10/04, I had dinner. I ate fish and chips..\nOn 2018/10/05, I did weight lifting on 2018/10/05..\nOn 2018/10/07, I had lunch. I ate chinese food..\nOn 2018/10/07, I spent 8 talking to Hazel, Nevaeh on various topics in the morning..\nOn 2018/10/08, I spent 23 minutes reading social media today..\nOn 2018/10/09, I ate tacos for lunch..\nOn 2018/10/10, I did HIIT on 2018/10/10..\nOn 2018/10/11, I spent 25 talking to Lydia, Piper, Hazel on various topics in the early afternoon..\nOn 2018/10/12, I had dinner with Claire, Hazel, Olivia, Piper, Layla, Nora, Avery, Piper, Lydia, Kinsley, Rylee. I ate steak..\nOn 2018/10/12, I spent 38 talking to Nora, Rylee, Claire on various topics in the late afternoon..\nOn 2018/10/13, I spent 51 talking to Rylee, Piper, Layla, Olivia on various topics in the early afternoon..\nOn 2018/10/13, I spent 48 minutes watching a tv series on TV today..\nOn 2018/10/14, I had lunch with Emily, Carter. I ate indian food..\nOn 2018/10/15, I had lunch. I ate pasta..\nOn 2018/10/16, I bought some clementines, watermelons, chocolate milk, guava juice, tea, mouth wash, conditioner, body lotion, shampoo online..\nOn 2018/10/16, I ate sushi for dinner..\nOn 2018/10/17, I did weight lifting on 2018/10/17..\nOn 2018/10/18, I spent some time gardening on 2018/10/18..\nOn 2018/10/18, I went grocery shopping with Willow. I bought some pineapples, nectarines, guava, apple juice, chocolate milk, soda, guava juice, and mouthwash, paper towel, conditioner.\nOn 2018/10/18, I spent 17 minutes reading social media today..\nOn 2018/10/19, I talked to Olivia, Layla, Eva for 46 minutes late in the evening..\nOn 2018/10/20, I ate pancakes for breakfast..\nOn 2018/10/20, I talked to Piper, Kinsley for 54 minutes in the late afternoon..\nOn 2018/10/20, I spent 51 minutes reading news today..\nOn 2018/10/21, I did weight lifting on 2018/10/21..\nOn 2018/10/21, I prepare eggs, sausages, and bread for breakfast..\nOn 2018/10/23, I spent time working out on 2018/10/23 with Carter..\nOn 2018/10/23, I spent 31 talking to Rylee, Eva, Hazel, Kinsley on various topics in the early evening..\nOn 2018/10/23, I spent 22 minutes on a book today..\nOn 2018/10/24, I had breakfast. I ate oatmeal..\nOn 2018/10/25, I did running on 2018/10/25..\nOn 2018/10/25, I had pasta for dinner with Emily, Andrew.\nOn 2018/10/25, I spent 18 talking to Claire on various topics in the late afternoon..\nOn 2018/10/26, I ate eggs, sausages, and bread for breakfast..\nOn 2018/10/26, I spent 19 minutes watching news on TV today..\nOn 2018/10/27, I ate steak for lunch..\nOn 2018/10/27, I had fish and chips for dinner with Andrew.\nOn 2018/10/28, On 2018/10/28, I took Kinsley on a date to a coffee Shop.\nOn 2018/10/28, I bought some bananas, guava juice, toilet paper from the grocery store. I saw Emily, Carter, Andrew at the grocery store..\nOn 2018/10/29, I had a burger for dinner with Benjamin.\nOn 2018/10/30, I had breakfast. I ate cereals..\nOn 2018/10/30, I prepare chinese food for dinner..\nOn 2018/10/30, I spent 51 minutes reading social media today..\nOn 2018/10/31, I spent 46 minutes reading social media today..\nOn 2018/11/04, I really enjoyed gardening on 2018/11/04.\nOn 2018/11/04, I had breakfast. I ate oatmeal..\nOn 2018/11/04, I spent 31 minutes on news today..\nOn 2018/11/05, I watched a movie for 40 minutes on TV today..\nOn 2018/11/06, I went grocery shopping. I bought some peaches, sports drinks, and paper towel, toothbrush, shampoo.\nOn 2018/11/06, I had breakfast. I ate eggs, sausages, and bread..\nOn 2018/11/06, I spent 8 talking to Piper, Eva, Hazel, Piper on various topics during lunch hours..\nOn 2018/11/06, I spent 11 minutes on social media today..\nOn 2018/11/07, I spent 32 talking to Piper, Kinsley, Nora on various topics in the late afternoon..\nOn 2018/11/08, my parents for their and I went for an annual physical checkup at the university hospital on 2018/11/08..\nOn 2018/11/08, I ate sushi for lunch..\nOn 2018/11/09, I went grocery shopping. I bought some pineapples, pears, sports drinks, and paper towel, mouth wash, conditioner.\nOn 2018/11/09, I did HIIT on 2018/11/09..\nOn 2018/11/10, I talked to Kinsley, Hazel, Rylee, Piper for 41 minutes during lunch hours..\nOn 2018/11/11, I ate eggs, sausages, and bread for breakfast..\nOn 2018/11/11, I prepare sushi for dinner..\nOn 2018/11/11, I talked to Hazel, Lydia, Claire, Piper for 13 minutes during lunch hours..\nOn 2018/11/11, I spent 47 minutes on news today..\nOn 2018/11/12, I went grocery shopping. I bought some cherres, pears, apricots, strawberries, mineral water, chocolate milk, and shampoo, shaving cream.\nOn 2018/11/12, I ate chinese food for dinner..\nOn 2018/11/12, I spent 33 minutes reading news today..\nOn 2018/11/13, I had steak for lunch with Andrew, Emily, Carter, Kayden.\nOn 2018/11/13, I spent 30 minutes on social media today..\nOn 2018/11/14, I spent 22 minutes watching news on TV today..\nOn 2018/11/15, On 2018/11/15, I took Sarah on a date to a coffee Shop.\nOn 2018/11/15, I talked to Piper, Nora, Olivia, Eva for 19 minutes in the early evening..\nOn 2018/11/16, I spent some time yoga on 2018/11/16..\nOn 2018/11/16, I ate toast and cheese for breakfast..\nOn 2018/11/16, I prepare sandwich for dinner..\nOn 2018/11/17, I bought some apricots, clementines, milk, soda, toilet paper online..\nOn 2018/11/17, I had tacos for dinner with Kayden.\nOn 2018/11/18, I did running on 2018/11/18..\nOn 2018/11/18, I had breakfast. I ate peanut-butter-jam..\nOn 2018/11/18, I ate a burger for lunch..\nOn 2018/11/18, I spent 45 minutes reading social media today..\nOn 2018/11/19, I had chinese food for dinner with Willow, Benjamin, Avery, Jackson.\nOn 2018/11/19, I spent 19 minutes reading news today..\nOn 2018/11/20, I spent 45 talking to Rylee on various topics in the late afternoon..\nOn 2018/11/21, I had breakfast with Kayden, Carter, Andrew, Emily. I ate peanut-butter-jam..\nOn 2018/11/22, I talked to Layla, Nora, Lydia for 41 minutes late in the evening..\nOn 2018/11/22, I spent 16 minutes on social media today..\nOn 2018/11/23, I had lunch with Eva, Hazel, Lydia, Kinsley, Nora, Rylee, Olivia. I ate a burger..\nOn 2018/11/23, I talked to Nevaeh for 12 minutes during lunch hours..\nOn 2018/11/24, I bought some pineapples, pears, coffee, chocolate milk, tea, toilet paper, toothpaste online..\nOn 2018/11/24, I spent 51 minutes on social media today..\nOn 2018/11/24, I watched a movie for 14 minutes on TV today..\nOn 2018/11/25, I did HIIT on 2018/11/25..\nOn 2018/11/26, I bought some raspberries, clementines, chocolate milk, mango juice, orange juice, pineapple juice, mouth wash, mouthwash, body lotion, shampoo online..\nOn 2018/11/27, I did swimming on 2018/11/27..\nOn 2018/11/28, I did weight lifting on 2018/11/28..\nOn 2018/11/28, I ate peanut-butter-jam for breakfast..\nOn 2018/11/28, I talked to Eva, Avery, Piper for 31 minutes in the early afternoon..\nOn 2018/11/30, I did weight lifting on 2018/11/30..\nOn 2018/12/01, I talked to Layla, Avery, Claire for 29 minutes late in the evening..\nOn 2018/12/02, I went on a date with Joshua on 2018/12/02 at a park.\nOn 2018/12/02, I went grocery shopping with Lydia, Layla, Rylee, Nora, Piper, Kinsley. I bought some mangos, bananas, watermelons, mango juice, soda, and facial wash, body lotion, toilet paper, mouth wash.\nOn 2018/12/02, I ate pancakes for breakfast..\nOn 2018/12/02, I ate a burger for dinner..\nOn 2018/12/03, I did weight lifting on 2018/12/03..\nOn 2018/12/03, I had chinese food for dinner with Carter, Andrew, Emily, Kayden.\nOn 2018/12/03, I talked to Kinsley, Piper for 42 minutes in the morning..\nOn 2018/12/03, I spent 21 minutes on social media today..\nOn 2018/12/03, I watched news for 13 minutes on TV today..\nOn 2018/12/04, I did running on 2018/12/04..\nOn 2018/12/04, I had breakfast. I ate peanut-butter-jam..\nOn 2018/12/04, I spent 16 minutes reading news today..\nOn 2018/12/05, I ate steak for dinner..\nOn 2018/12/06, I had breakfast. I ate toast and cheese..\nOn 2018/12/06, I ate a burger for dinner..\nOn 2018/12/07, I spent 52 minutes on a book today..\nOn 2018/12/07, I spent 50 minutes watching news on TV today..\nOn 2018/12/08, I talked to Olivia, Kinsley for 30 minutes in the early afternoon..\nOn 2018/12/09, I prepare eggs, sausages, and bread for breakfast..\nOn 2018/12/11, I went grocery shopping. I bought some watermelons, apricots, strawberries, orange juice, milk, sports drinks, and mouth wash, conditioner, mouthwash.\nOn 2018/12/12, I spent some time meditation on 2018/12/12..\nOn 2018/12/12, I ate oatmeal for breakfast..\nOn 2018/12/12, I had pasta for lunch with Piper, Layla, Hazel, Eva, Kinsley, Olivia, Avery, Rylee.\nOn 2018/12/12, I had dinner with Benjamin, Willow, Avery, Jackson. I ate fish and chips..\nOn 2018/12/12, I spent 29 minutes reading news today..\nOn 2018/12/13, I bought some clementines, soda, sports drinks, shaving cream, toothpaste online..\nOn 2018/12/13, I had indian food for dinner with Piper, Claire, Piper, Nora.\nOn 2018/12/14, I ate pancakes for breakfast..\nOn 2018/12/14, I talked to Olivia, Rylee, Kinsley, Nora for 25 minutes late in the evening..\nOn 2018/12/14, I spent 22 minutes watching a tv series on TV today..\nOn 2018/12/15, On 2018/12/15, I took Aurora on a date to a restaurant.\nOn 2018/12/15, I did running on 2018/12/15..\nOn 2018/12/15, I ate cereals for breakfast..\nOn 2018/12/15, I spent 34 minutes on news today..\nOn 2018/12/15, I spent 54 minutes watching news on TV today..\nOn 2018/12/16, I spent some time working out on 2018/12/16..\nOn 2018/12/16, I talked to Lydia, Piper, Hazel, Claire for 45 minutes in the early afternoon..\nOn 2018/12/17, I spent 50 minutes reading social media today..\nOn 2018/12/18, I had breakfast. I ate toast and cheese..\nOn 2018/12/18, I had lunch with Jackson, Benjamin, Avery, Willow. I ate fish and chips..\nOn 2018/12/18, I watched a tv series for 34 minutes on TV today..\nOn 2018/12/19, I had lunch with Olivia, Eva, Hazel, Nevaeh, Avery. I ate pasta..\nOn 2018/12/19, I spent 25 minutes reading a book today..\nOn 2018/12/20, I watched a documentary for 55 minutes on TV today..\nOn 2018/12/21, I ate steak for dinner..\nOn 2018/12/22, I spent 40 minutes on news today..\nOn 2018/12/23, On 2018/12/23, I took Sofia on a date to a coffee Shop.\nOn 2018/12/23, I had dinner. I ate sushi..\nOn 2018/12/23, I spent 24 minutes reading social media today..\nOn 2018/12/25, I went grocery shopping with Kayden, Emily, Andrew, Carter. I bought some blackberries, clementines, pineapples, mandarins, soda, and mouth wash.\nOn 2018/12/25, I did biking on 2018/12/25..\nOn 2018/12/25, I had breakfast. I ate toast and cheese..\nOn 2018/12/26, I spent 23 talking to Rylee on various topics late in the evening..\nOn 2018/12/26, I watched news for 39 minutes on TV today..\nOn 2018/12/27, I talked to Lydia, Olivia, Hazel, Avery for 14 minutes late in the evening..\nOn 2018/12/27, I spent 38 minutes reading news today..\nOn 2018/12/28, I had indian food for dinner with Avery, Willow, Jackson.\nOn 2018/12/28, I spent 46 talking to Nevaeh, Avery on various topics in the late afternoon..\nOn 2018/12/28, I spent 37 minutes watching a movie on TV today..\nOn 2018/12/30, I had dinner. I ate chinese food..\nOn 2019/01/01, I spent 46 minutes watching a movie on TV today..\nOn 2019/01/02, I had dinner. I ate indian food..\nOn 2019/01/03, I bought some clementines, peaches, mandarins, chocolate milk, mineral water, orange juice, soda, toothpaste from the grocery store. I saw Willow, Jackson, Avery at the grocery store..\nOn 2019/01/03, I did hiking on 2019/01/03..\nOn 2019/01/04, I went on a date with Josephine on 2019/01/04 at a park.\nOn 2019/01/04, I really enjoyed learning a language on 2019/01/04.\nOn 2019/01/04, I talked to Avery, Hazel, Rylee for 46 minutes in the morning..\nOn 2019/01/05, I did running on 2019/01/05..\nOn 2019/01/05, I talked to Eva, Rylee, Avery for 10 minutes during lunch hours..\nOn 2019/01/06, I spent 33 minutes watching a documentary on TV today..\nOn 2019/01/07, I spent 52 minutes watching a tv series on TV today..\nOn 2019/01/08, I did hiking on 2019/01/08..\nOn 2019/01/09, I spent 48 minutes on news today..\nOn 2019/01/10, I did HIIT on 2019/01/10..\nOn 2019/01/10, I had breakfast with Hazel, Claire, Eva, Piper, Avery, Lydia, Rylee. I ate oatmeal..\nOn 2019/01/10, I ate a burger for lunch..\nOn 2019/01/10, I talked to Layla for 8 minutes late in the evening..\nOn 2019/01/12, I spent 35 talking to Piper, Lydia, Rylee on various topics in the early evening..\nOn 2019/01/13, I did biking on 2019/01/13..\nOn 2019/01/13, I prepare pancakes for breakfast..\nOn 2019/01/13, I had dinner with Rylee, Hazel, Avery, Piper, Claire, Nevaeh, Kinsley, Layla, Olivia, Piper, Lydia. I ate chinese food..\nOn 2019/01/13, I talked to Claire for 8 minutes in the late afternoon..\nOn 2019/01/13, I watched a documentary for 40 minutes on TV today..\nOn 2019/01/14, I bought some nectarines, sports drinks, guava juice, facial wash, body lotion, conditioner online..\nOn 2019/01/14, I prepare peanut-butter-jam for breakfast..\nOn 2019/01/14, I prepare chinese food for dinner..\nOn 2019/01/14, I talked to Avery for 51 minutes in the early evening..\nOn 2019/01/15, I had toast and cheese for breakfast with Kayden, Carter, Emily, Andrew.\nOn 2019/01/15, I spent 34 talking to Piper, Eva on various topics during lunch hours..\nOn 2019/01/16, I watched news for 20 minutes on TV today..\nOn 2019/01/18, I prepare eggs, sausages, and bread for breakfast..\nOn 2019/01/18, I had lunch with Jackson, Willow, Benjamin, Avery. I ate fish and chips..\nOn 2019/01/19, I did biking on 2019/01/19..\nOn 2019/01/19, I had breakfast. I ate toast and cheese..\nOn 2019/01/19, I talked to Olivia for 36 minutes in the early afternoon..\nOn 2019/01/19, I spent 28 minutes reading news today..\nOn 2019/01/20, I was baking chocolate skillet cake on 2019/01/20 with Emily, Andrew, Carter at my place.\nOn 2019/01/20, I had lunch. I ate a burger..\nOn 2019/01/20, I spent 46 talking to Hazel, Eva on various topics during lunch hours..\nOn 2019/01/20, I watched a movie for 45 minutes on TV today..\nOn 2019/01/21, I bought some clementines, watermelons, bananas, guava juice, orange juice, pineapple juice, mango juice, facial wash, toothbrush from the grocery store. I saw Kayden at the grocery store..\nOn 2019/01/21, I had sushi for dinner with Eva, Hazel, Piper, Avery, Nora, Nevaeh, Claire, Piper.\nOn 2019/01/21, I talked to Avery for 49 minutes in the early afternoon..\nOn 2019/01/21, I spent 35 minutes on news today..\nOn 2019/01/22, I did running on 2019/01/22..\nOn 2019/01/22, I spent 39 minutes watching a tv series on TV today..\nOn 2019/01/23, I talked to Avery for 44 minutes in the early afternoon..\nOn 2019/01/24, I spent 50 talking to Layla, Avery, Nora on various topics in the morning..\nOn 2019/01/24, I spent 22 minutes on a book today..\nOn 2019/01/24, I spent 47 minutes watching a tv series on TV today..\nOn 2019/01/25, I did weight lifting on 2019/01/25..\nOn 2019/01/25, I had sushi for dinner with Nora, Hazel, Kinsley, Nevaeh, Piper, Rylee, Claire, Piper, Avery, Layla, Olivia.\nOn 2019/01/26, I had lunch. I ate tacos..\nOn 2019/01/27, I talked to Eva, Hazel for 33 minutes in the early evening..\nOn 2019/01/28, I spent 33 minutes watching news on TV today..\nOn 2019/01/29, I spent 16 minutes watching a documentary on TV today..\nOn 2019/01/30, I did hiking on 2019/01/30..\nOn 2019/01/30, I talked to Layla, Piper, Rylee, Eva for 43 minutes late in the evening..\nOn 2019/01/31, I had a burger for lunch with Andrew, Carter.\nOn 2019/01/31, I spent 42 minutes watching news on TV today..\nOn 2019/02/01, I did HIIT on 2019/02/01..\nOn 2019/02/02, I did hiking on 2019/02/02..\nOn 2019/02/02, I spent 48 talking to Claire on various topics in the early afternoon..\nOn 2019/02/02, I watched a movie for 11 minutes on TV today..\nOn 2019/02/03, I did swimming on 2019/02/03..\nOn 2019/02/03, I had dinner. I ate sushi..\nOn 2019/02/04, I talked to Nora, Piper, Eva for 36 minutes in the late afternoon..\nOn 2019/02/04, I spent 41 minutes watching a movie on TV today..\nOn 2019/02/05, I talked to Piper, Piper, Olivia, Nevaeh for 50 minutes in the late afternoon..\nOn 2019/02/05, I watched news for 26 minutes on TV today..\nOn 2019/02/06, I prepare cereals for breakfast..\nOn 2019/02/06, I had indian food for dinner with Avery, Piper, Nora, Eva, Rylee, Lydia, Olivia, Layla, Piper.\nOn 2019/02/07, I really enjoyed yoga on 2019/02/07.\nOn 2019/02/07, I prepare pancakes for breakfast..\nOn 2019/02/08, I went grocery shopping with Kayden, Andrew, Carter. I bought some blackberries, coffee, and mouthwash, toilet paper.\nOn 2019/02/08, I prepare eggs, sausages, and bread for breakfast..\nOn 2019/02/09, I did HIIT on 2019/02/09..\nOn 2019/02/10, On 2019/02/10, I took Cora on a date to a coffee Shop.\nOn 2019/02/10, I did biking on 2019/02/10..\nOn 2019/02/10, I had toast and cheese for breakfast with Willow, Avery.\nOn 2019/02/10, I spent 51 minutes watching news on TV today..\nOn 2019/02/11, I was cooking indian red lentil, air-fryer brats on 2019/02/11 with Emily, Carter, Andrew at my place.\nOn 2019/02/12, I spent 30 talking to Piper on various topics during lunch hours..\nOn 2019/02/12, I spent 18 minutes watching news on TV today..\nOn 2019/02/13, I did HIIT on 2019/02/13..\nOn 2019/02/13, I prepare steak for lunch..\nOn 2019/02/13, I spent 13 talking to Eva, Olivia, Avery on various topics in the late afternoon..\nOn 2019/02/13, I spent 32 minutes reading social media today..\nOn 2019/02/14, I prepare cereals for breakfast..\nOn 2019/02/14, I had lunch. I ate a burger..\nOn 2019/02/14, I spent 48 talking to Piper, Claire, Olivia, Hazel on various topics in the early evening..\nOn 2019/02/15, On 2019/02/15, I took Ivy on a date to a coffee Shop.\nOn 2019/02/15, I went grocery shopping. I bought some mandarins, pears, guava, raspberries, tea, and paper towel, shampoo, toothpaste, mouth wash.\nOn 2019/02/15, I ate eggs, sausages, and bread for breakfast..\nOn 2019/02/15, I spent 52 minutes watching a movie on TV today..\nOn 2019/02/16, I did biking on 2019/02/16..\nOn 2019/02/16, I spent 34 minutes on social media today..\nOn 2019/02/18, I did swimming on 2019/02/18..\nOn 2019/02/18, I prepare peanut-butter-jam for breakfast..\nOn 2019/02/18, I spent 30 talking to Kinsley, Layla, Nevaeh, Rylee on various topics in the early afternoon..\nOn 2019/02/19, I went grocery shopping with Avery, Jackson, Benjamin, Willow. I bought some strawberries, soda, apple juice, and facial wash, shaving cream, shampoo, toilet paper.\nOn 2019/02/19, I did hiking on 2019/02/19..\nOn 2019/02/20, I had breakfast with Avery. I ate pancakes..\nOn 2019/02/20, I spent 29 minutes reading social media today..\nOn 2019/02/22, I talked to Hazel, Claire, Piper, Layla for 41 minutes late in the evening..\nOn 2019/02/23, I bought some raspberries, pineapples, guava juice, mouth wash from the grocery store. I saw Kayden at the grocery store..\nOn 2019/02/23, I had steak for lunch with Rylee, Layla.\nOn 2019/02/23, I talked to Rylee for 38 minutes during lunch hours..\nOn 2019/02/25, I went on a date with Jaxson on 2019/02/25 at a restaurant.\nOn 2019/02/25, I spent some time learning a language on 2019/02/25..\nOn 2019/02/25, I had lunch with Andrew, Kayden. I ate sushi..\nOn 2019/02/25, I prepare sandwich for dinner..\nOn 2019/02/25, I spent 49 minutes watching a documentary on TV today..\nOn 2019/02/26, I ate indian food for dinner..\nOn 2019/02/26, I spent 9 talking to Piper, Nevaeh on various topics during lunch hours..\nOn 2019/02/28, I had breakfast. I ate oatmeal..\nOn 2019/02/28, I had pasta for lunch with Nevaeh, Lydia, Eva, Hazel, Kinsley, Layla, Piper, Rylee, Piper, Nora, Olivia, Claire, Avery.\nOn 2019/02/28, I had dinner with Carter, Andrew. I ate sushi..\nOn 2019/03/01, I ate toast and cheese for breakfast..\nOn 2019/03/01, I had dinner with Jackson, Avery, Benjamin, Willow. I ate a burger..\nOn 2019/03/02, I did weight lifting on 2019/03/02..\nOn 2019/03/02, I had dinner with Claire, Lydia, Eva, Nora, Rylee. I ate indian food..\nOn 2019/03/02, I talked to Avery, Claire, Piper for 6 minutes in the late afternoon..\nOn 2019/03/03, I talked to Layla, Nora, Piper, Kinsley for 42 minutes late in the evening..\nOn 2019/03/04, I did swimming on 2019/03/04..\nOn 2019/03/04, I had breakfast. I ate toast and cheese..\nOn 2019/03/04, I had lunch. I ate fish and chips..\nOn 2019/03/04, I had sandwich for dinner with Carter, Andrew, Kayden, Emily.\nOn 2019/03/04, I spent 12 minutes on a book today..\nOn 2019/03/05, I watched a tv series for 33 minutes on TV today..\nOn 2019/03/06, I spent 8 minutes watching news on TV today..\nOn 2019/03/07, I went for an annual physical checkup on 2019/03/07 at the university hospital..\nOn 2019/03/08, I went grocery shopping with Piper, Nora. I bought some bananas, guava, tea, sports drinks, guava juice, and toilet paper, mouthwash, paper towel, body lotion.\nOn 2019/03/09, I ate oatmeal for breakfast..\nOn 2019/03/09, I had a burger for dinner with Andrew, Kayden, Carter.\nOn 2019/03/09, I spent 27 minutes watching news on TV today..\nOn 2019/03/10, I ate pancakes for breakfast..\nOn 2019/03/10, I spent 34 talking to Hazel, Eva, Nora, Claire on various topics in the late afternoon..\nOn 2019/03/10, I spent 12 minutes on news today..\nOn 2019/03/12, I did swimming on 2019/03/12..\nOn 2019/03/13, I bought some peaches, apricots, pineapple juice, orange juice, coffee, mineral water, toilet paper online..\nOn 2019/03/13, I did HIIT on 2019/03/13..\nOn 2019/03/13, I prepare sandwich for lunch..\nOn 2019/03/16, I spent 33 talking to Nora, Piper, Rylee, Lydia on various topics during lunch hours..\nOn 2019/03/17, I had pasta for lunch with Carter, Emily.\nOn 2019/03/17, I spent 28 talking to Claire, Olivia, Piper, Kinsley on various topics in the morning..\nOn 2019/03/18, I went on a date with Athena on 2019/03/18 at a restaurant.\nOn 2019/03/18, I did weight lifting on 2019/03/18..\nOn 2019/03/19, On 2019/03/19 Eva, Olivia and I went to Rio, Brazil together for 8 days .\nOn 2019/03/19, I had breakfast. I ate toast and cheese..\nOn 2019/03/19, I prepare steak for lunch..\nOn 2019/03/20, During my trip to Rio, Brazil, I visited Sugarloaf on 2019/03 with Eva, Olivia..\nOn 2019/03/20, I ate Chinese food at Tapioca with Eva, Olivia on  2019/03/20 when I was in Rio, Brazil..\nOn 2019/03/20, my parents for their and I went for an annual physical checkup at the hospital on 2019/03/20..\nOn 2019/03/20, I had fish and chips for lunch with Jackson, Willow, Avery.\nOn 2019/03/20, I spent 45 minutes reading a book today..\nOn 2019/03/21, During my trip to Rio, Brazil, I visited Ipanema on 2019/03 with Eva, Olivia..\nOn 2019/03/21, I ate Italian food at Pão de queijo with Eva, Olivia on  2019/03/21 when I was in Rio, Brazil..\nOn 2019/03/22, During my trip to Rio, Brazil, I visited Carnaval on 2019/03 with Eva, Olivia..\nOn 2019/03/22, I ate local food at Tapioca with Eva, Olivia on  2019/03/22 when I was in Rio, Brazil..\nOn 2019/03/23, During my trip to Rio, Brazil, I visited Copacabana on 2019/03 with Eva, Olivia..\nOn 2019/03/23, I ate local food at Tapioca with Eva, Olivia on  2019/03/23 when I was in Rio, Brazil..\nOn 2019/03/23, I had dinner with Rylee, Piper, Eva, Olivia, Layla, Claire, Kinsley, Hazel, Avery, Piper, Nevaeh, Lydia, Nora. I ate a burger..\nOn 2019/03/23, I spent 39 talking to Eva, Kinsley on various topics late in the evening..\nOn 2019/03/23, I watched a movie for 34 minutes on TV today..\nOn 2019/03/24, During my trip to Rio, Brazil, I visited Cristo Redentor on 2019/03 with Eva, Olivia..\nOn 2019/03/24, I had lunch. I ate pasta..\nOn 2019/03/24, I spent 54 talking to Olivia, Piper, Lydia on various topics in the early evening..\nOn 2019/03/24, I spent 25 minutes on a book today..\nOn 2019/03/25, I ate Italian food at Tapioca with Eva, Olivia on  2019/03/25 when I was in Rio, Brazil..\nOn 2019/03/25, I spent 33 minutes reading a book today..\nOn 2019/03/26, I ate street food at Tapioca with Eva, Olivia on  2019/03/26 when I was in Rio, Brazil..\nOn 2019/03/26, I prepare eggs, sausages, and bread for breakfast..\nOn 2019/03/27, I ate Chinese food at Bolinho de bacalhau with Eva, Olivia on  2019/03/27 when I was in Rio, Brazil..\nOn 2019/03/27, I had dinner with Andrew, Kayden, Emily. I ate fish and chips..\nOn 2019/03/28, I did hiking on 2019/03/28..\nOn 2019/03/28, I prepare eggs, sausages, and bread for breakfast..\nOn 2019/03/29, I bought some bananas, mineral water, mango juice, pineapple juice, mouth wash online..\nOn 2019/03/29, I spent 39 talking to Hazel, Rylee, Olivia, Eva on various topics late in the evening..\nOn 2019/03/30, I really enjoyed baking blackberry-raspberry skillet cobbler, cheater’s mini rhubarb galettes, chocolate skillet cake on 2019/03/30 with Carter, Kayden at my place.\nOn 2019/03/30, I talked to Kinsley, Layla, Piper for 23 minutes during lunch hours..\nOn 2019/04/01, I ate sushi for lunch..\nOn 2019/04/01, I had dinner. I ate indian food..\nOn 2019/04/02, I had breakfast with Andrew, Carter. I ate eggs, sausages, and bread..\nOn 2019/04/02, I talked to Olivia, Eva, Nevaeh for 20 minutes in the late afternoon..\nOn 2019/04/02, I spent 35 minutes reading news today..\nOn 2019/04/02, I spent 28 minutes watching a tv series on TV today..\nOn 2019/04/03, I did swimming on 2019/04/03..\nOn 2019/04/03, I had breakfast. I ate peanut-butter-jam..\nOn 2019/04/05, I did HIIT on 2019/04/05..\nOn 2019/04/05, I had steak for lunch with Nevaeh.\nOn 2019/04/05, I spent 35 talking to Eva on various topics in the early afternoon..\nOn 2019/04/05, I spent 52 minutes on social media today..\nOn 2019/04/06, I had lunch with Benjamin. I ate sandwich..\nOn 2019/04/06, I talked to Avery, Rylee, Layla, Hazel for 9 minutes during lunch hours..\nOn 2019/04/08, I did HIIT on 2019/04/08..\nOn 2019/04/09, I spent 18 minutes watching a movie on TV today..\nOn 2019/04/10, I had lunch. I ate chinese food..\nOn 2019/04/12, I had dinner. I ate chinese food..\nOn 2019/04/13, I ate peanut-butter-jam for breakfast..\nOn 2019/04/13, I had fish and chips for lunch with Olivia, Avery, Kinsley, Nevaeh, Layla, Claire, Lydia, Nora, Hazel, Eva.\nOn 2019/04/13, I spent 20 minutes watching news on TV today..\nOn 2019/04/15, I was baking fig tarte tatin on 2019/04/15 with Benjamin, Jackson, Avery, Willow at my place.\nOn 2019/04/15, I prepare pancakes for breakfast..\nOn 2019/04/15, I ate indian food for dinner..\nOn 2019/04/16, I had breakfast. I ate toast and cheese..\nOn 2019/04/17, I spent 27 minutes watching a documentary on TV today..\nOn 2019/04/18, I spent 22 minutes reading a book today..\nOn 2019/04/19, I bought some bananas, cherres, mangos, pears, chocolate milk, apple juice, guava juice, mouth wash, facial wash from the grocery store. I saw Kayden at the grocery store..\nOn 2019/04/19, I did biking on 2019/04/19..\nOn 2019/04/19, I talked to Kinsley for 35 minutes in the early afternoon..\nOn 2019/04/19, I watched a movie for 29 minutes on TV today..\nOn 2019/04/20, I talked to Piper for 39 minutes in the late afternoon..\nOn 2019/04/21, I did weight lifting on 2019/04/21..\nOn 2019/04/21, I spent 21 talking to Rylee, Kinsley, Lydia on various topics late in the evening..\nOn 2019/04/21, I spent 40 minutes watching a documentary on TV today..\nOn 2019/04/22, I did swimming on 2019/04/22..\nOn 2019/04/22, I prepare steak for lunch..\nOn 2019/04/22, I had dinner with Claire, Nora, Kinsley, Nevaeh, Piper, Rylee, Piper, Eva, Layla, Lydia, Avery, Hazel. I ate tacos..\nOn 2019/04/23, I spent 41 talking to Piper on various topics in the early afternoon..\nOn 2019/04/23, I watched a documentary for 46 minutes on TV today..\nOn 2019/04/24, I talked to Nora, Lydia, Rylee for 7 minutes in the early afternoon..\nOn 2019/04/25, I spent 10 talking to Claire, Olivia, Avery on various topics in the early evening..\nOn 2019/04/25, I spent 12 minutes watching news on TV today..\nOn 2019/04/26, I had toast and cheese for breakfast with Eva, Kinsley, Olivia, Lydia, Claire, Piper, Piper, Rylee, Nevaeh, Layla, Nora, Hazel, Avery.\nOn 2019/04/26, I had sandwich for lunch with Piper, Piper, Olivia, Lydia, Nevaeh.\nOn 2019/04/26, I had indian food for dinner with Lydia, Layla, Olivia, Hazel, Rylee, Piper, Nevaeh.\nOn 2019/04/26, I talked to Lydia, Avery, Layla for 49 minutes in the early evening..\nOn 2019/04/27, I had sushi for dinner with Jackson, Willow, Benjamin.\nOn 2019/04/27, I spent 53 talking to Kinsley, Olivia on various topics late in the evening..\nOn 2019/04/27, I spent 37 minutes watching a documentary on TV today..\nOn 2019/04/28, I did HIIT on 2019/04/28..\nOn 2019/04/28, I talked to Piper, Claire, Avery for 20 minutes in the early afternoon..\nOn 2019/04/29, I spent 25 minutes watching a documentary on TV today..\nOn 2019/04/30, I spent 14 minutes reading news today..\nOn 2019/05/01, I had breakfast. I ate pancakes..\nOn 2019/05/01, I had tacos for dinner with Emily, Andrew.\nOn 2019/05/02, On 2019/05/02, I took Isla on a date to a boba shop.\nOn 2019/05/02, I prepare eggs, sausages, and bread for breakfast..\nOn 2019/05/02, I spent 55 talking to Rylee, Hazel, Avery on various topics in the morning..\nOn 2019/05/03, I had peanut-butter-jam for breakfast with Kayden.\nOn 2019/05/04, I ate sandwich for dinner..\nOn 2019/05/04, I spent 21 minutes watching a tv series on TV today..\nOn 2019/05/05, I bought some pears, apricots, nectarines, raspberries, mango juice, toilet paper, shampoo, conditioner, facial wash online..\nOn 2019/05/05, I talked to Olivia, Layla, Claire, Kinsley for 52 minutes in the late afternoon..\nOn 2019/05/06, I had breakfast with Jackson. I ate peanut-butter-jam..\nOn 2019/05/06, I spent 11 minutes on a book today..\nOn 2019/05/07, I went on a date with Theodore on 2019/05/07 at a park.\nOn 2019/05/07, I had dinner with Eva, Claire, Lydia, Rylee, Nevaeh, Hazel, Nora, Piper, Layla, Olivia, Avery, Piper, Kinsley. I ate sandwich..\nOn 2019/05/08, I prepare a burger for lunch..\nOn 2019/05/08, I prepare tacos for dinner..\nOn 2019/05/09, I did weight lifting on 2019/05/09..\nOn 2019/05/10, I went on a date with Valentina on 2019/05/10 at a restaurant.\nOn 2019/05/10, I bought some nectarines, mango juice, apple juice, tea, toothpaste, body lotion from the grocery store. I saw Lydia, Piper, Olivia at the grocery store..\nOn 2019/05/10, I did running on 2019/05/10..\nOn 2019/05/10, I had dinner with Emily. I ate indian food..\nOn 2019/05/11, I had toast and cheese for breakfast with Kayden, Andrew, Emily.\nOn 2019/05/11, I spent 12 minutes on social media today..\nOn 2019/05/11, I watched a movie for 53 minutes on TV today..\nOn 2019/05/12, I spent 12 talking to Lydia, Piper, Olivia on various topics in the late afternoon..\nOn 2019/05/13, I had breakfast with Benjamin, Willow, Jackson. I ate cereals..\nOn 2019/05/13, I spent 27 minutes watching a tv series on TV today..\nOn 2019/05/15, I had dinner with Hazel, Olivia, Piper, Rylee, Nora, Lydia, Eva, Claire, Avery, Nevaeh, Layla, Kinsley. I ate steak..\nOn 2019/05/15, I spent 47 minutes reading news today..\nOn 2019/05/15, I watched a tv series for 16 minutes on TV today..\nOn 2019/05/17, I spent 32 minutes watching a tv series on TV today..\nOn 2019/05/18, I ate cereals for breakfast..\nOn 2019/05/18, I had lunch. I ate a burger..\nOn 2019/05/18, I spent 45 talking to Kinsley on various topics during lunch hours..\nOn 2019/05/19, I had breakfast. I ate pancakes..\nOn 2019/05/19, I prepare fish and chips for dinner..\nOn 2019/05/20, I spent time meditation on 2019/05/20 with Kayden, Emily, Carter..\nOn 2019/05/21, I did hiking on 2019/05/21..\nOn 2019/05/21, I had sushi for lunch with Claire, Rylee, Eva, Nora, Nevaeh, Layla, Lydia.\nOn 2019/05/21, I had dinner with Kayden. I ate sandwich..\nOn 2019/05/23, I had breakfast with Emily, Kayden, Carter. I ate oatmeal..\nOn 2019/05/23, I spent 45 minutes reading a book today..\nOn 2019/05/25, I went on a date with Lily on 2019/05/25 at a park.\nOn 2019/05/26, I did hiking on 2019/05/26..\nOn 2019/05/26, I spent 26 talking to Hazel, Olivia, Piper, Lydia on various topics in the morning..\nOn 2019/05/26, I spent 41 minutes on a book today..\nOn 2019/05/27, I had cereals for breakfast with Lydia, Claire, Olivia, Piper, Eva, Nora, Hazel, Avery, Piper, Rylee, Kinsley, Nevaeh, Layla.\nOn 2019/05/27, I spent 47 minutes on news today..\nOn 2019/05/27, I watched a movie for 8 minutes on TV today..\nOn 2019/05/28, I ate cereals for breakfast..\nOn 2019/05/29, I prepare oatmeal for breakfast..\nOn 2019/05/29, I talked to Eva, Kinsley for 12 minutes in the morning..\nOn 2019/05/30, I bought some apples, guava, tea, coffee, pineapple juice, toothpaste, paper towel, shampoo online..\nOn 2019/05/30, I talked to Olivia, Hazel for 6 minutes during lunch hours..\nOn 2019/05/31, I watched a documentary for 45 minutes on TV today..\nOn 2019/06/01, I bought some peaches, apples, watermelons, mineral water, orange juice, mango juice, shampoo, mouthwash online..\nOn 2019/06/01, I spent 26 minutes reading a book today..\nOn 2019/06/02, I ate steak for lunch..\nOn 2019/06/02, I spent 49 minutes reading social media today..\nOn 2019/06/03, I did running on 2019/06/03..\nOn 2019/06/03, I had breakfast. I ate cereals..\nOn 2019/06/04, I ate pasta for lunch..\nOn 2019/06/04, I talked to Olivia, Nora, Rylee, Claire for 40 minutes in the morning..\nOn 2019/06/04, I spent 29 minutes reading social media today..\nOn 2019/06/05, I ate sushi for dinner..\nOn 2019/06/07, I ate pasta for lunch..\nOn 2019/06/08, I had breakfast with Willow. I ate cereals..\nOn 2019/06/08, I prepare steak for dinner..\nOn 2019/06/09, I had oatmeal for breakfast with Kayden, Carter, Andrew.\nOn 2019/06/09, I had chinese food for dinner with Emily, Andrew.\nOn 2019/06/10, I watched a documentary for 12 minutes on TV today..\nOn 2019/06/11, I spent 43 talking to Claire, Avery, Hazel on various topics late in the evening..\nOn 2019/06/11, I spent 10 minutes on news today..\nOn 2019/06/12, I did running on 2019/06/12..\nOn 2019/06/12, I had breakfast with Benjamin. I ate eggs, sausages, and bread..\nOn 2019/06/13, I talked to Piper, Lydia, Hazel for 6 minutes in the late afternoon..\nOn 2019/06/14, I did HIIT on 2019/06/14..\nOn 2019/06/14, I had breakfast. I ate peanut-butter-jam..\nOn 2019/06/14, I had dinner with Kayden. I ate fish and chips..\nOn 2019/06/14, I talked to Hazel, Lydia, Kinsley, Eva for 52 minutes in the early evening..\nOn 2019/06/15, I prepare toast and cheese for breakfast..\nOn 2019/06/15, I spent 6 minutes watching a movie on TV today..\nOn 2019/06/16, I ate steak for dinner..\nOn 2019/06/16, I spent 6 minutes on news today..\nOn 2019/06/16, I spent 46 minutes watching news on TV today..\nOn 2019/06/17, I entertained Piper at my place on 2019/06/17 and cook asian slaw.\nOn 2019/06/17, I did biking on 2019/06/17..\nOn 2019/06/17, I spent 46 talking to Olivia, Kinsley on various topics in the early evening..\nOn 2019/06/19, I spent 31 talking to Rylee on various topics late in the evening..\nOn 2019/06/20, On 2019/06/20, I took Ethan on a date to a coffee Shop.\nOn 2019/06/20, I did hiking on 2019/06/20..\nOn 2019/06/21, On 2019/06/21, I took Eva on a date to a boba shop.\nOn 2019/06/21, I did weight lifting on 2019/06/21..\nOn 2019/06/21, I had indian food for lunch with Emily, Andrew, Carter, Kayden.\nOn 2019/06/21, I talked to Lydia, Eva for 24 minutes in the morning..\nOn 2019/06/23, I spent 36 minutes watching a tv series on TV today..\nOn 2019/06/25, I did swimming on 2019/06/25..\nOn 2019/06/25, I spent 22 talking to Hazel, Layla on various topics in the morning..\nOn 2019/06/25, I spent 17 minutes on a book today..\nOn 2019/06/26, I really enjoyed working out on 2019/06/26.\nOn 2019/06/26, I talked to Claire, Hazel, Olivia for 33 minutes in the early evening..\nOn 2019/06/27, I did swimming on 2019/06/27..\nOn 2019/06/27, I prepare fish and chips for lunch..\nOn 2019/06/29, I really enjoyed cooking chinese chicken wings, thai noodle salad, split pea soup with ham & jalapeno on 2019/06/29 with Kayden, Carter at my place.\nOn 2019/06/29, I spent 54 talking to Claire on various topics in the early evening..\nOn 2019/07/01, I prepare fish and chips for dinner..\nOn 2019/07/02, I had cereals for breakfast with Kayden.\nOn 2019/07/02, I spent 24 minutes reading news today..\nOn 2019/07/02, I spent 22 minutes watching news on TV today..\nOn 2019/07/04, I did swimming on 2019/07/04..\nOn 2019/07/05, I had cereals for breakfast with Avery, Benjamin, Willow.\nOn 2019/07/06, I did hiking on 2019/07/06..\nOn 2019/07/06, I ate indian food for dinner..\nOn 2019/07/07, I spent 33 talking to Olivia, Piper, Hazel, Kinsley on various topics in the early evening..\nOn 2019/07/08, I bought some mangos, pineapples, oranges, watermelons, guava juice, mouthwash, shampoo, mouth wash from the grocery store. I saw Emily, Carter, Kayden, Andrew at the grocery store..\nOn 2019/07/08, I had breakfast. I ate eggs, sausages, and bread..\nOn 2019/07/08, I had sushi for lunch with Andrew, Carter.\nOn 2019/07/09, On 2019/07/09, I took Oliver on a date to a park.\nOn 2019/07/09, I prepare toast and cheese for breakfast..\nOn 2019/07/10, I talked to Kinsley, Avery, Olivia for 46 minutes in the morning..\nOn 2019/07/11, I spent 47 talking to Eva, Rylee on various topics during lunch hours..\nOn 2019/07/12, I had breakfast. I ate pancakes..\nOn 2019/07/12, I spent 49 minutes on news today..\nOn 2019/07/12, I spent 49 minutes watching a tv series on TV today..\nOn 2019/07/13, I spent 15 minutes watching news on TV today..\nOn 2019/07/14, I spent 38 talking to Hazel, Piper on various topics in the early evening..\nOn 2019/07/15, I had dinner. I ate fish and chips..\nOn 2019/07/15, I spent 34 minutes on news today..\nOn 2019/07/15, I watched news for 52 minutes on TV today..\nOn 2019/07/16, I spent 52 minutes on news today..\nOn 2019/07/17, I ate steak for dinner..\nOn 2019/07/17, I watched news for 22 minutes on TV today..\nOn 2019/07/18, I bought some peaches, blackberries, orange juice, guava juice, pineapple juice, milk, paper towel, facial wash, mouthwash from the grocery store. I saw Jackson at the grocery store..\nOn 2019/07/18, I had toast and cheese for breakfast with Carter, Kayden, Emily.\nOn 2019/07/18, I had tacos for lunch with Carter, Andrew, Emily, Kayden.\nOn 2019/07/18, I had dinner with Hazel, Avery, Olivia, Rylee, Nevaeh, Piper, Eva, Piper, Nora, Layla, Lydia, Kinsley, Claire. I ate tacos..\nOn 2019/07/18, I talked to Kinsley for 37 minutes during lunch hours..\nOn 2019/07/19, I had peanut-butter-jam for breakfast with Kayden.\nOn 2019/07/19, I had fish and chips for dinner with Nevaeh, Hazel, Nora, Avery, Layla, Olivia, Rylee, Kinsley, Piper, Lydia, Piper, Eva.\nOn 2019/07/19, I spent 11 talking to Piper, Rylee, Eva, Claire on various topics during lunch hours..\nOn 2019/07/19, I spent 29 minutes reading a book today..\nOn 2019/07/20, I bought some blackberries, oranges, strawberries, apples, mineral water, shampoo, facial wash, mouth wash, shaving cream online..\nOn 2019/07/20, I talked to Eva, Piper for 18 minutes late in the evening..\nOn 2019/07/21, I talked to Olivia, Avery, Piper for 55 minutes late in the evening..\nOn 2019/07/22, I went on a date with Elizabeth on 2019/07/22 at a park.\nOn 2019/07/22, I did swimming on 2019/07/22..\nOn 2019/07/22, I prepare steak for lunch..\nOn 2019/07/22, I prepare pasta for dinner..\nOn 2019/07/23, I had dinner with Kayden, Andrew, Emily. I ate steak..\nOn 2019/07/23, I talked to Kinsley, Claire, Piper for 17 minutes in the late afternoon..\nOn 2019/07/24, I prepare indian food for dinner..\nOn 2019/07/25, I had lunch. I ate chinese food..\nOn 2019/07/25, I talked to Lydia, Nora, Nevaeh for 48 minutes late in the evening..\nOn 2019/07/25, I watched news for 41 minutes on TV today..\nOn 2019/07/26, I had breakfast with Carter, Andrew, Emily, Kayden. I ate pancakes..\nOn 2019/07/26, I talked to Lydia, Rylee, Piper for 44 minutes in the early evening..\nOn 2019/07/27, I spent 49 talking to Hazel, Claire on various topics in the late afternoon..\nOn 2019/07/27, I watched a tv series for 52 minutes on TV today..\nOn 2019/07/29, I had lunch with Kayden, Andrew. I ate fish and chips..\nOn 2019/07/30, I talked to Rylee, Piper, Olivia, Piper for 10 minutes in the early afternoon..\nOn 2019/07/30, I spent 36 minutes on a book today..\nOn 2019/07/31, I had dinner with Avery, Jackson, Benjamin. I ate tacos..\nOn 2019/07/31, I talked to Nevaeh for 45 minutes in the morning..\nOn 2019/08/01, I had breakfast with Nora, Rylee, Piper, Claire. I ate cereals..\nOn 2019/08/01, I had lunch. I ate chinese food..\nOn 2019/08/01, I talked to Lydia for 34 minutes late in the evening..\nOn 2019/08/02, I ate oatmeal for breakfast..\nOn 2019/08/02, I spent 12 talking to Olivia, Claire, Layla on various topics in the late afternoon..\nOn 2019/08/03, I did HIIT on 2019/08/03..\nOn 2019/08/03, I spent 25 minutes on news today..\nOn 2019/08/04, I had peanut-butter-jam for breakfast with Emily.\nOn 2019/08/04, I prepare steak for lunch..\nOn 2019/08/04, I watched a tv series for 5 minutes on TV today..\nOn 2019/08/05, I talked to Avery, Piper, Piper, Lydia for 18 minutes in the morning..\nOn 2019/08/06, I went on a date with Elias on 2019/08/06 at a restaurant.\nOn 2019/08/07, I had breakfast. I ate eggs, sausages, and bread..\nOn 2019/08/07, I prepare indian food for dinner..\nOn 2019/08/09, I spent 53 minutes reading news today..\nOn 2019/08/10, I had steak for dinner with Eva, Lydia.\nOn 2019/08/11, I did swimming on 2019/08/11..\nOn 2019/08/11, I prepare cereals for breakfast..\nOn 2019/08/12, On 2019/08/12, I took Aaliyah on a date to a park.\nOn 2019/08/12, I went grocery shopping with Willow, Benjamin. I bought some bananas, pineapples, blueberries, mango juice, tea, soda, and shaving cream, mouthwash.\nOn 2019/08/14, I did HIIT on 2019/08/14..\nOn 2019/08/14, I had lunch with Avery. I ate a burger..\nOn 2019/08/14, I spent 29 minutes watching a movie on TV today..\nOn 2019/08/16, I did biking on 2019/08/16..\nOn 2019/08/16, I ate tacos for lunch..\nOn 2019/08/16, I watched a tv series for 31 minutes on TV today..\nOn 2019/08/17, I spent 43 talking to Olivia on various topics during lunch hours..\nOn 2019/08/17, I spent 40 minutes watching news on TV today..\nOn 2019/08/18, I had dinner. I ate tacos..\nOn 2019/08/19, I went grocery shopping with Emily, Andrew, Carter. I bought some watermelons, pineapples, nectarines, clementines, mango juice, sports drinks, and mouth wash, shaving cream, toilet paper.\nOn 2019/08/19, I did hiking on 2019/08/19..\nOn 2019/08/19, I talked to Piper, Olivia for 8 minutes in the early afternoon..\nOn 2019/08/20, I ate sandwich for dinner..\nOn 2019/08/20, I spent 47 minutes on social media today..\nOn 2019/08/21, I did running on 2019/08/21..\nOn 2019/08/22, I bought some apples, pears, clementines, guava juice, milk, mango juice, body lotion, facial wash online..\nOn 2019/08/24, I had toast and cheese for breakfast with Andrew, Kayden, Emily.\nOn 2019/08/24, I prepare pasta for lunch..\nOn 2019/08/24, I talked to Hazel for 7 minutes in the early evening..\nOn 2019/08/24, I spent 37 minutes reading a book today..\nOn 2019/08/25, I had dinner. I ate pasta..\nOn 2019/08/25, I spent 26 talking to Layla on various topics in the late afternoon..\nOn 2019/08/26, I had breakfast with Carter. I ate peanut-butter-jam..\nOn 2019/08/27, I had lunch with Carter, Emily. I ate a burger..\nOn 2019/08/27, I spent 36 minutes on a book today..\nOn 2019/08/30, I really enjoyed working out on 2019/08/30.\nOn 2019/08/30, I had lunch. I ate fish and chips..\nOn 2019/08/30, I prepare indian food for dinner..\nOn 2019/09/01, I had lunch with Jackson, Willow. I ate tacos..\nOn 2019/09/01, I spent 37 talking to Avery, Layla, Nora on various topics in the late afternoon..\nOn 2019/09/02, I did weight lifting on 2019/09/02..\nOn 2019/09/02, I prepare peanut-butter-jam for breakfast..\nOn 2019/09/02, I spent 42 minutes on a book today..\nOn 2019/09/04, I had dinner. I ate steak..\nOn 2019/09/04, I talked to Kinsley for 44 minutes during lunch hours..\nOn 2019/09/04, I spent 49 minutes watching a movie on TV today..\nOn 2019/09/05, I went on a date with Aurora on 2019/09/05 at a restaurant.\nOn 2019/09/05, I prepare cereals for breakfast..\nOn 2019/09/05, I spent 47 minutes on news today..\nOn 2019/09/05, I spent 43 minutes watching a movie on TV today..\nOn 2019/09/06, I spent 32 minutes reading a book today..\nOn 2019/09/07, I bought some cherres, strawberries, mandarins, coffee, mouthwash, toothbrush online..\nOn 2019/09/07, I prepare toast and cheese for breakfast..\nOn 2019/09/07, I had dinner with Claire. I ate indian food..\nOn 2019/09/08, I prepare sandwich for dinner..\nOn 2019/09/08, I watched news for 5 minutes on TV today..\nOn 2019/09/09, I spent 46 talking to Lydia, Hazel, Nevaeh, Nora on various topics in the early afternoon..\nOn 2019/09/09, I spent 22 minutes watching news on TV today..\nOn 2019/09/10, I had chinese food for dinner with Andrew, Kayden, Emily, Carter.\nOn 2019/09/10, I spent 52 talking to Layla on various topics in the early evening..\nOn 2019/09/10, I watched news for 29 minutes on TV today..\nOn 2019/09/11, I spent 29 minutes reading social media today..\nOn 2019/09/12, I ate fish and chips for dinner..\nOn 2019/09/13, I had dinner with Jackson, Avery, Willow, Benjamin. I ate steak..\nOn 2019/09/13, I spent 11 talking to Olivia, Layla, Rylee, Kinsley on various topics in the early afternoon..\nOn 2019/09/14, I went on a date with Eva on 2019/09/14 at a coffee Shop.\nOn 2019/09/14, I talked to Olivia for 33 minutes in the early afternoon..\nOn 2019/09/15, I really enjoyed gardening on 2019/09/15.\nOn 2019/09/15, I did biking on 2019/09/15..\nOn 2019/09/15, I had steak for dinner with Claire, Nevaeh, Kinsley, Layla, Avery.\nOn 2019/09/15, I watched a documentary for 44 minutes on TV today..\nOn 2019/09/16, I went grocery shopping. I bought some mandarins, oranges, apricots, mango juice, and toilet paper, conditioner.\nOn 2019/09/16, I did HIIT on 2019/09/16..\nOn 2019/09/16, I had breakfast with Avery. I ate peanut-butter-jam..\nOn 2019/09/16, I spent 54 minutes watching a documentary on TV today..\nOn 2019/09/17, I spent 31 talking to Piper on various topics late in the evening..\nOn 2019/09/18, I spent time working out on 2019/09/18 with Carter, Kayden..\nOn 2019/09/18, I had lunch. I ate tacos..\nOn 2019/09/18, I spent 53 talking to Claire, Piper, Layla, Nevaeh on various topics in the early afternoon..\nOn 2019/09/19, I watched news for 26 minutes on TV today..\nOn 2019/09/20, I spent 7 minutes watching news on TV today..\nOn 2019/09/22, I really enjoyed working out on 2019/09/22.\nOn 2019/09/22, I spent 49 minutes on social media today..\nOn 2019/09/23, I spent 33 minutes on news today..\nOn 2019/09/24, I had breakfast. I ate eggs, sausages, and bread..\nOn 2019/09/24, I spent 12 talking to Hazel on various topics in the late afternoon..\nOn 2019/09/25, I spent 37 talking to Rylee, Kinsley, Avery, Lydia on various topics during lunch hours..\nOn 2019/09/26, I went grocery shopping with Carter, Emily, Andrew, Kayden. I bought some watermelons, mandarins, tea, mineral water, apple juice, chocolate milk, and conditioner, mouthwash, toilet paper, toothbrush.\nOn 2019/09/26, I had breakfast. I ate eggs, sausages, and bread..\nOn 2019/09/26, I had lunch. I ate sushi..\nOn 2019/09/26, I ate a burger for dinner..\nOn 2019/09/27, I bought some pears, apples, strawberries, coffee, milk, guava juice, chocolate milk, facial wash, mouthwash from the grocery store. I saw Emily, Carter at the grocery store..\nOn 2019/09/29, I had a burger for dinner with Kinsley, Piper, Claire, Piper, Rylee, Nevaeh.\nOn 2019/09/29, I spent 54 minutes watching a movie on TV today..\nOn 2019/09/30, I had chinese food for lunch with Jackson, Benjamin.\nOn 2019/09/30, I spent 55 minutes reading a book today..\nOn 2019/10/01, I had lunch. I ate sushi..\nOn 2019/10/01, I watched a documentary for 16 minutes on TV today..\nOn 2019/10/03, I did HIIT on 2019/10/03..\nOn 2019/10/03, I had tacos for dinner with Carter, Emily, Andrew.\nOn 2019/10/03, I talked to Piper for 10 minutes in the early afternoon..\nOn 2019/10/04, On 2019/10/04, I took Ivy on a date to a boba shop.\nOn 2019/10/05, I bought some blackberries, peaches, coffee, orange juice, mouth wash, toilet paper, body lotion, shaving cream from the grocery store. I saw Carter at the grocery store..\nOn 2019/10/05, I had breakfast with Nora, Claire, Lydia, Layla. I ate peanut-butter-jam..\nOn 2019/10/06, I really enjoyed baking gluten-free apple rose tart, chocolate chip cookie in a mug, homemade toaster pastries on 2019/10/06 with Nevaeh, Layla at my place.\nOn 2019/10/06, I prepare fish and chips for lunch..\nOn 2019/10/07, I ate sandwich for lunch..\nOn 2019/10/07, I talked to Lydia for 17 minutes in the morning..\nOn 2019/10/08, I prepare indian food for dinner..\nOn 2019/10/09, I had lunch. I ate pasta..\nOn 2019/10/10, I did weight lifting on 2019/10/10..\nOn 2019/10/10, I had tacos for lunch with Andrew, Kayden, Carter, Emily.\nOn 2019/10/10, I spent 54 talking to Layla, Rylee on various topics late in the evening..\nOn 2019/10/11, I had lunch with Kayden, Emily. I ate a burger..\nOn 2019/10/11, I spent 32 talking to Nora, Piper on various topics in the late afternoon..\nOn 2019/10/11, I spent 51 minutes on social media today..\nOn 2019/10/12, I did weight lifting on 2019/10/12..\nOn 2019/10/12, I had eggs, sausages, and bread for breakfast with Andrew.\nOn 2019/10/12, I prepare sushi for lunch..\nOn 2019/10/13, I went for an annual dental cleaning and checkup on 2019/10/13 at the university hospital..\nOn 2019/10/13, I talked to Claire, Avery, Eva for 7 minutes late in the evening..\nOn 2019/10/13, I spent 17 minutes watching news on TV today..\nOn 2019/10/14, I went grocery shopping. I bought some nectarines, peaches, clementines, chocolate milk, sports drinks, soda, tea, and body lotion, mouth wash, facial wash, shampoo.\nOn 2019/10/14, I prepare toast and cheese for breakfast..\nOn 2019/10/14, I spent 14 talking to Avery on various topics in the morning..\nOn 2019/10/15, I did biking on 2019/10/15..\nOn 2019/10/15, I prepare steak for dinner..\nOn 2019/10/15, I watched news for 37 minutes on TV today..\nOn 2019/10/16, I ate a burger for lunch..\nOn 2019/10/16, I prepare sushi for dinner..\nOn 2019/10/16, I spent 27 minutes on news today..\nOn 2019/10/17, I had dinner with Lydia, Nora, Rylee. I ate sandwich..\nOn 2019/10/18, I went on a date with Elizabeth on 2019/10/18 at a restaurant.\nOn 2019/10/18, I had dinner. I ate a burger..\nOn 2019/10/18, I talked to Eva, Nora for 7 minutes late in the evening..\nOn 2019/10/18, I spent 7 minutes reading a book today..\nOn 2019/10/19, I had lunch with Andrew, Kayden. I ate chinese food..\nOn 2019/10/19, I spent 24 minutes watching a tv series on TV today..\nOn 2019/10/20, I ate fish and chips for lunch..\nOn 2019/10/20, I prepare tacos for dinner..\nOn 2019/10/20, I spent 51 talking to Rylee, Kinsley, Claire, Piper on various topics during lunch hours..\nOn 2019/10/20, I spent 13 minutes on news today..\nOn 2019/10/21, I really enjoyed meditation on 2019/10/21.\nOn 2019/10/21, I talked to Layla, Olivia, Hazel for 33 minutes during lunch hours..\nOn 2019/10/21, I spent 41 minutes watching a movie on TV today..\nOn 2019/10/23, I spent 49 minutes watching a movie on TV today..\nOn 2019/10/25, I talked to Claire for 38 minutes in the late afternoon..\nOn 2019/10/26, I spent 26 talking to Olivia, Hazel, Lydia on various topics in the early afternoon..\nOn 2019/10/27, I had indian food for dinner with Benjamin, Willow, Jackson, Avery.\nOn 2019/10/28, I had chinese food for dinner with Willow, Avery, Jackson, Benjamin.\nOn 2019/10/28, I talked to Kinsley, Nora, Layla for 32 minutes in the early evening..\nOn 2019/10/29, I really enjoyed meditation on 2019/10/29.\nOn 2019/10/29, I did swimming on 2019/10/29..\nOn 2019/10/30, I had breakfast. I ate pancakes..\nOn 2019/10/31, I had lunch. I ate sushi..\nOn 2019/10/31, I spent 22 minutes watching a tv series on TV today..\nOn 2019/11/02, I ate toast and cheese for breakfast..\nOn 2019/11/02, I prepare tacos for dinner..\nOn 2019/11/02, I spent 24 minutes on social media today..\nOn 2019/11/03, I went grocery shopping. I bought some apples, mandarins, apple juice, soda, orange juice, tea, and facial wash, toothpaste, mouthwash, mouth wash.\nOn 2019/11/03, I had breakfast with Emily, Andrew, Kayden, Carter. I ate toast and cheese..\nOn 2019/11/03, I spent 39 talking to Olivia, Nevaeh on various topics during lunch hours..\nOn 2019/11/04, I had dinner. I ate fish and chips..\nOn 2019/11/05, I ate oatmeal for breakfast..\nOn 2019/11/05, I spent 12 minutes watching a documentary on TV today..\nOn 2019/11/06, I prepare cereals for breakfast..\nOn 2019/11/06, I ate tacos for dinner..\nOn 2019/11/07, I ate eggs, sausages, and bread for breakfast..\nOn 2019/11/07, I spent 9 minutes on a book today..\nOn 2019/11/08, On 2019/11/08, I took Leonardo on a date to a restaurant.\nOn 2019/11/08, I had lunch with Andrew, Emily, Kayden, Carter. I ate sandwich..\nOn 2019/11/09, I spent time working out on 2019/11/09 with Claire, Kinsley..\nOn 2019/11/09, I did weight lifting on 2019/11/09..\nOn 2019/11/09, I prepare chinese food for lunch..\nOn 2019/11/09, I talked to Layla, Kinsley, Claire for 31 minutes during lunch hours..\nOn 2019/11/10, I did HIIT on 2019/11/10..\nOn 2019/11/10, I talked to Piper, Layla, Olivia for 42 minutes in the early afternoon..\nOn 2019/11/11, I did HIIT on 2019/11/11..\nOn 2019/11/12, I had breakfast. I ate peanut-butter-jam..\nOn 2019/11/12, I talked to Hazel, Layla, Eva for 13 minutes in the morning..\nOn 2019/11/12, I watched a tv series for 38 minutes on TV today..\nOn 2019/11/13, I spent 54 minutes reading social media today..\nOn 2019/11/13, I spent 37 minutes watching a movie on TV today..\nOn 2019/11/14, I talked to Layla, Nora for 42 minutes in the late afternoon..\nOn 2019/11/15, I went grocery shopping with Carter. I bought some apples, clementines, mandarins, apple juice, orange juice, and facial wash.\nOn 2019/11/15, I had lunch with Emily. I ate a burger..\nOn 2019/11/15, I ate a burger for dinner..\nOn 2019/11/16, I really enjoyed cooking swedish meatball recipe, scallion pancake, chicken parmesan spaghetti on 2019/11/16 with Claire, Piper, Lydia at my place.\nOn 2019/11/16, I ate toast and cheese for breakfast..\nOn 2019/11/17, I spent some time working out on 2019/11/17..\nOn 2019/11/17, I had a burger for lunch with Emily, Carter, Andrew.\nOn 2019/11/17, I spent 27 minutes on news today..\nOn 2019/11/18, I was baking blackberry-raspberry skillet cobbler, giant cinnamon roll, birthday cupcakes with white wine buttercream on 2019/11/18 with Kayden at my place.\nOn 2019/11/18, On 2019/11/18, I took Claire on a date to a restaurant.\nOn 2019/11/18, I had breakfast. I ate peanut-butter-jam..\nOn 2019/11/18, I spent 46 minutes on a book today..\nOn 2019/11/19, I spent 16 minutes watching a tv series on TV today..\nOn 2019/11/20, I prepare eggs, sausages, and bread for breakfast..\nOn 2019/11/21, I had eggs, sausages, and bread for breakfast with Benjamin, Avery, Jackson, Willow.\nOn 2019/11/21, I spent 23 talking to Avery, Layla, Eva, Kinsley on various topics in the early evening..\nOn 2019/11/21, I spent 9 minutes on news today..\nOn 2019/11/22, I prepare pancakes for breakfast..\nOn 2019/11/22, I spent 8 minutes reading a book today..\nOn 2019/11/22, I watched a documentary for 36 minutes on TV today..\nOn 2019/11/23, I went grocery shopping. I bought some mangos, apricots, apple juice, mineral water, soda, mango juice, and toothpaste, shampoo, body lotion.\nOn 2019/11/23, I ate cereals for breakfast..\nOn 2019/11/23, I talked to Nora, Claire for 47 minutes in the early afternoon..\nOn 2019/11/23, I spent 12 minutes reading news today..\nOn 2019/11/23, I spent 15 minutes watching news on TV today..\nOn 2019/11/24, I ate indian food for lunch..\nOn 2019/11/24, I talked to Claire for 55 minutes late in the evening..\nOn 2019/11/25, I had dinner. I ate a burger..\nOn 2019/11/25, I spent 31 talking to Eva, Lydia, Piper on various topics late in the evening..\nOn 2019/11/25, I spent 12 minutes watching a movie on TV today..\nOn 2019/11/27, I did swimming on 2019/11/27..\nOn 2019/11/27, I had dinner. I ate a burger..\nOn 2019/11/27, I spent 38 minutes watching a movie on TV today..\nOn 2019/11/29, I did running on 2019/11/29..\nOn 2019/11/29, I had eggs, sausages, and bread for breakfast with Piper, Layla, Avery, Nora, Eva, Nevaeh, Claire, Lydia, Olivia, Kinsley, Hazel, Piper.\nOn 2019/11/29, I talked to Eva, Layla for 42 minutes in the morning..\nOn 2019/11/30, I talked to Rylee, Avery, Layla for 52 minutes in the late afternoon..\nOn 2019/11/30, I spent 7 minutes watching news on TV today..\nOn 2019/12/01, I had breakfast with Willow, Benjamin, Jackson, Avery. I ate pancakes..\nOn 2019/12/02, my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2019/12/02..\nOn 2019/12/02, I had lunch with Carter, Emily, Andrew. I ate fish and chips..\nOn 2019/12/02, I had dinner. I ate a burger..\nOn 2019/12/03, I did hiking on 2019/12/03..\nOn 2019/12/03, I spent 15 minutes watching news on TV today..\nOn 2019/12/04, I spent 39 minutes reading a book today..\nOn 2019/12/05, I did swimming on 2019/12/05..\nOn 2019/12/06, I went on a date with Leilani on 2019/12/06 at a coffee Shop.\nOn 2019/12/07, I spent 49 minutes on social media today..\nOn 2019/12/09, I did biking on 2019/12/09..\nOn 2019/12/09, I had breakfast with Kayden, Emily. I ate cereals..\nOn 2019/12/09, I watched a movie for 10 minutes on TV today..\nOn 2019/12/10, I had peanut-butter-jam for breakfast with Piper, Hazel.\nOn 2019/12/10, I spent 24 talking to Piper, Rylee, Claire, Hazel on various topics late in the evening..\nOn 2019/12/12, I did hiking on 2019/12/12..\nOn 2019/12/12, I watched a movie for 46 minutes on TV today..\nOn 2019/12/13, I did hiking on 2019/12/13..\nOn 2019/12/13, I had lunch with Olivia, Piper, Rylee, Kinsley, Piper, Lydia, Claire, Nevaeh, Eva, Layla, Hazel. I ate steak..\nOn 2019/12/13, I spent 32 talking to Layla, Hazel, Olivia on various topics late in the evening..\nOn 2019/12/13, I spent 7 minutes on a book today..\nOn 2019/12/13, I watched a documentary for 49 minutes on TV today..\nOn 2019/12/14, I had peanut-butter-jam for breakfast with Avery.\nOn 2019/12/14, I spent 17 talking to Hazel, Piper on various topics late in the evening..\nOn 2019/12/16, I spent time working out on 2019/12/16 with Kayden, Carter, Andrew..\nOn 2019/12/16, I talked to Nevaeh for 35 minutes late in the evening..\nOn 2019/12/16, I spent 16 minutes on news today..\nOn 2019/12/18, I bought some peaches, watermelons, clementines, guava, chocolate milk, apple juice, milk, orange juice, shampoo online..\nOn 2019/12/18, I did running on 2019/12/18..\nOn 2019/12/18, I had breakfast. I ate toast and cheese..\nOn 2019/12/18, I spent 23 minutes watching news on TV today..\nOn 2019/12/19, I prepare fish and chips for lunch..\nOn 2019/12/19, I watched a movie for 28 minutes on TV today..\nOn 2019/12/20, I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread..\nOn 2019/12/20, I ate pasta for lunch..\nOn 2019/12/20, I spent 38 talking to Nevaeh, Piper, Eva on various topics in the morning..\nOn 2019/12/21, I spent 24 minutes watching a tv series on TV today..\nOn 2019/12/22, I had lunch with Benjamin, Willow, Avery. I ate chinese food..\nOn 2019/12/22, I had dinner. I ate pasta..\nOn 2019/12/23, I spent 53 minutes on social media today..\nOn 2019/12/23, I spent 23 minutes watching a documentary on TV today..\nOn 2019/12/24, I bought some bananas, mineral water, sports drinks, pineapple juice, paper towel online..\nOn 2019/12/24, I spent 49 minutes on social media today..\nOn 2019/12/25, Kayden for his/her  and I went for an annual physical checkup at the private clinic on 2019/12/25..\nOn 2019/12/25, I spent 34 minutes watching a documentary on TV today..\nOn 2019/12/26, I had breakfast. I ate oatmeal..\nOn 2019/12/26, I spent 42 minutes watching a documentary on TV today..\nOn 2019/12/27, I went on a date with Oliver on 2019/12/27 at a coffee Shop.\nOn 2019/12/29, I had breakfast. I ate cereals..\nOn 2019/12/29, I prepare pasta for dinner..\nOn 2019/12/29, I talked to Claire for 10 minutes in the early evening..\nOn 2019/12/30, I talked to Piper, Nora, Lydia, Layla for 6 minutes in the late afternoon..\nOn 2019/12/30, I spent 49 minutes reading a book today..\nOn 2019/12/31, I spent 8 talking to Rylee on various topics in the early afternoon..\nOn 2020/01/02, I spent 21 talking to Nora, Olivia, Claire, Rylee on various topics late in the evening..\nOn 2020/01/02, I spent 43 minutes reading news today..\nOn 2020/01/02, I watched a movie for 53 minutes on TV today..\nOn 2020/01/03, I had lunch. I ate pasta..\nOn 2020/01/04, I spent 19 minutes on a book today..\nOn 2020/01/05, I ate sandwich for dinner..\nOn 2020/01/05, I spent 31 talking to Avery, Layla, Eva on various topics late in the evening..\nOn 2020/01/05, I spent 50 minutes on a book today..\nOn 2020/01/05, I watched a movie for 51 minutes on TV today..\nOn 2020/01/06, I watched a documentary for 38 minutes on TV today..\nOn 2020/01/07, I spent 18 minutes watching a movie on TV today..\nOn 2020/01/08, I did weight lifting on 2020/01/08..\nOn 2020/01/09, I had lunch. I ate indian food..\nOn 2020/01/09, I talked to Nora, Claire, Lydia for 28 minutes late in the evening..\nOn 2020/01/10, I prepare peanut-butter-jam for breakfast..\nOn 2020/01/12, I bought some strawberries, blackberries, peaches, milk, shampoo, paper towel from the grocery store. I saw Andrew, Carter, Kayden, Emily at the grocery store..\nOn 2020/01/15, I spent 22 minutes watching a documentary on TV today..\nOn 2020/01/16, I prepare fish and chips for lunch..\nOn 2020/01/16, I spent 14 minutes reading social media today..\nOn 2020/01/17, I did weight lifting on 2020/01/17..\nOn 2020/01/17, I watched a tv series for 18 minutes on TV today..\nOn 2020/01/18, I did swimming on 2020/01/18..\nOn 2020/01/18, I had pancakes for breakfast with Eva, Kinsley, Hazel, Olivia, Claire.\nOn 2020/01/19, I had dinner with Piper, Eva, Nevaeh, Claire, Avery. I ate sandwich..\nOn 2020/01/20, I spent 10 minutes on a book today..\nOn 2020/01/21, I talked to Kinsley, Piper, Nora, Nevaeh for 5 minutes in the early afternoon..\nOn 2020/01/22, I had sandwich for dinner with Willow, Avery.\nOn 2020/01/22, I talked to Nevaeh, Piper, Lydia for 25 minutes in the morning..\nOn 2020/01/23, I ate oatmeal for breakfast..\nOn 2020/01/24, I bought some pineapples, milk, soda, orange juice, shaving cream from the grocery store. I saw Jackson, Benjamin, Avery, Willow at the grocery store..\nOn 2020/01/24, I ate indian food for lunch..\nOn 2020/01/24, I spent 50 talking to Nevaeh, Olivia on various topics during lunch hours..\nOn 2020/01/25, I prepare sandwich for dinner..\nOn 2020/01/26, I had lunch with Willow, Avery. I ate sushi..\nOn 2020/01/26, I had dinner. I ate chinese food..\nOn 2020/01/26, I watched news for 14 minutes on TV today..\nOn 2020/01/27, On 2020/01/27, I took Zoey on a date to a boba shop.\nOn 2020/01/28, I did swimming on 2020/01/28..\nOn 2020/01/29, I ate pasta for lunch..\nOn 2020/01/29, I spent 44 minutes on news today..\nOn 2020/01/29, I spent 29 minutes watching a movie on TV today..\nOn 2020/01/30, I did biking on 2020/01/30..\nOn 2020/01/30, I ate peanut-butter-jam for breakfast..\nOn 2020/01/30, I spent 8 minutes reading social media today..\nOn 2020/01/30, I spent 28 minutes watching a tv series on TV today..\nOn 2020/01/31, I had lunch with Emily, Kayden, Andrew. I ate sushi..\nOn 2020/01/31, I spent 37 talking to Piper on various topics in the late afternoon..\nOn 2020/02/01, I spent 41 minutes reading a book today..\nOn 2020/02/02, I went on a date with Claire on 2020/02/02 at a coffee Shop.\nOn 2020/02/03, I prepare sandwich for dinner..\nOn 2020/02/03, I watched news for 7 minutes on TV today..\nOn 2020/02/04, I bought some guava, watermelons, orange juice, body lotion from the grocery store. I saw Nora, Piper, Claire, Hazel at the grocery store..\nOn 2020/02/04, I had fish and chips for dinner with Carter, Andrew, Kayden, Emily.\nOn 2020/02/05, I ate indian food for dinner..\nOn 2020/02/08, I really enjoyed yoga on 2020/02/08.\nOn 2020/02/08, I bought some nectarines, blackberries, guava, peaches, soda, orange juice, pineapple juice, milk, toothbrush, shampoo, conditioner, paper towel from the grocery store. I saw Kinsley, Nevaeh, Lydia, Piper, Nora, Olivia, Rylee, Claire, Piper, Layla, Avery, Hazel, Eva at the grocery store..\nOn 2020/02/08, I prepare eggs, sausages, and bread for breakfast..\nOn 2020/02/09, I ate steak for lunch..\nOn 2020/02/10, I ate sushi for lunch..\nOn 2020/02/10, I spent 53 minutes watching news on TV today..\nOn 2020/02/12, I ate toast and cheese for breakfast..\nOn 2020/02/13, I had a burger for dinner with Emily, Carter, Andrew.\nOn 2020/02/14, I talked to Rylee, Nora for 47 minutes late in the evening..\nOn 2020/02/14, I spent 32 minutes on news today..\nOn 2020/02/15, I ate pancakes for breakfast..\nOn 2020/02/15, I talked to Claire for 9 minutes in the late afternoon..\nOn 2020/02/16, I spent 43 minutes watching a tv series on TV today..\nOn 2020/02/17, I had breakfast. I ate toast and cheese..\nOn 2020/02/17, I had tacos for dinner with Kayden, Andrew, Emily.\nOn 2020/02/17, I spent 50 minutes reading a book today..\nOn 2020/02/17, I watched a movie for 50 minutes on TV today..\nOn 2020/02/18, I spent time learning a language on 2020/02/18 with Carter, Andrew..\nOn 2020/02/18, I had breakfast. I ate peanut-butter-jam..\nOn 2020/02/18, I spent 53 talking to Kinsley on various topics in the early afternoon..\nOn 2020/02/18, I spent 8 minutes on news today..\nOn 2020/02/18, I spent 22 minutes watching a tv series on TV today..\nOn 2020/02/19, I had dinner. I ate tacos..\nOn 2020/02/19, I watched a movie for 15 minutes on TV today..\nOn 2020/02/21, I spent 35 talking to Avery, Claire on various topics in the morning..\nOn 2020/02/21, I spent 36 minutes reading a book today..\nOn 2020/02/22, I did HIIT on 2020/02/22..\nOn 2020/02/22, I had lunch with Olivia, Layla, Eva, Lydia, Piper, Avery, Hazel, Nevaeh, Nora, Rylee, Piper. I ate fish and chips..\nOn 2020/02/22, I spent 54 minutes on a book today..\nOn 2020/02/23, I did weight lifting on 2020/02/23..\nOn 2020/02/23, I had toast and cheese for breakfast with Avery, Benjamin, Willow, Jackson.\nOn 2020/02/23, I talked to Lydia, Rylee for 17 minutes late in the evening..\nOn 2020/02/24, I prepare oatmeal for breakfast..\nOn 2020/02/24, I had lunch with Carter. I ate indian food..\nOn 2020/02/25, I went on a date with Lucy on 2020/02/25 at a coffee Shop.\nOn 2020/02/25, I went grocery shopping. I bought some watermelons, pears, blackberries, orange juice, tea, mango juice, and shampoo, toilet paper.\nOn 2020/02/25, I ate fish and chips for lunch..\nOn 2020/02/25, I spent 13 minutes reading social media today..\nOn 2020/02/27, I had breakfast with Kayden, Carter, Emily, Andrew. I ate toast and cheese..\nOn 2020/02/27, I spent 20 minutes on a book today..\nOn 2020/02/27, I spent 49 minutes watching a documentary on TV today..\nOn 2020/02/28, I did biking on 2020/02/28..\nOn 2020/02/28, I ate a burger for dinner..\nOn 2020/02/29, I had breakfast with Piper, Hazel, Rylee, Olivia, Nora, Claire, Layla, Avery, Eva, Kinsley, Nevaeh, Lydia. I ate toast and cheese..\nOn 2020/03/01, I did running on 2020/03/01..\nOn 2020/03/01, I talked to Olivia for 8 minutes during lunch hours..\nOn 2020/03/01, I watched a movie for 15 minutes on TV today..\nOn 2020/03/02, my parents for their and I went for an annual physical checkup at the private clinic on 2020/03/02..\nOn 2020/03/02, I did weight lifting on 2020/03/02..\nOn 2020/03/02, I prepare oatmeal for breakfast..\nOn 2020/03/02, I ate chinese food for dinner..\nOn 2020/03/04, I talked to Avery, Olivia, Eva, Piper for 35 minutes in the late afternoon..\nOn 2020/03/04, I spent 34 minutes on a book today..\nOn 2020/03/05, I spent 30 minutes on a book today..\nOn 2020/03/08, I ate eggs, sausages, and bread for breakfast..\nOn 2020/03/08, I talked to Nora for 27 minutes in the early evening..\nOn 2020/03/08, I spent 47 minutes watching a movie on TV today..\nOn 2020/03/10, On 2020/03/10, I took Emilia on a date to a boba shop.\nOn 2020/03/10, I had breakfast with Avery, Benjamin. I ate cereals..\nOn 2020/03/10, I talked to Olivia for 26 minutes in the early evening..\nOn 2020/03/12, I spent 28 minutes watching a movie on TV today..\nOn 2020/03/13, I did weight lifting on 2020/03/13..\nOn 2020/03/13, I talked to Avery for 27 minutes in the early evening..\nOn 2020/03/15, I ate fish and chips for lunch..\nOn 2020/03/17, I talked to Lydia, Hazel, Avery, Nevaeh for 12 minutes in the early afternoon..\nOn 2020/03/17, I spent 32 minutes reading news today..\nOn 2020/03/17, I watched news for 44 minutes on TV today..\nOn 2020/03/19, I ate peanut-butter-jam for breakfast..\nOn 2020/03/19, I talked to Eva, Nora for 42 minutes in the early afternoon..\nOn 2020/03/19, I spent 46 minutes on social media today..\nOn 2020/03/20, I went on a date with Quinn on 2020/03/20 at a restaurant.\nOn 2020/03/20, I spent 19 minutes on news today..\nOn 2020/03/21, I spent some time meditation on 2020/03/21..\nOn 2020/03/21, I watched news for 18 minutes on TV today..\nOn 2020/03/22, I went grocery shopping. I bought some oranges, peaches, blackberries, apple juice, and toilet paper, shaving cream, conditioner, facial wash.\nOn 2020/03/22, I talked to Layla for 51 minutes in the early afternoon..\nOn 2020/03/24, I had dinner. I ate pasta..\nOn 2020/03/25, I ate cereals for breakfast..\nOn 2020/03/26, I ate tacos for lunch..\nOn 2020/03/26, I spent 19 minutes reading news today..\nOn 2020/03/26, I spent 6 minutes watching a tv series on TV today..\nOn 2020/03/27, I took Kayden for his/her  for an annual physical checkup on 2020/03/27 at the university hospital..\nOn 2020/03/27, I did weight lifting on 2020/03/27..\nOn 2020/03/27, I spent 5 minutes on social media today..\nOn 2020/03/28, I really enjoyed yoga on 2020/03/28.\nOn 2020/03/28, I spent 46 minutes reading social media today..\nOn 2020/03/29, I had breakfast with Kayden, Emily, Carter, Andrew. I ate oatmeal..\nOn 2020/03/29, I spent 33 minutes on social media today..\nOn 2020/03/30, I had breakfast. I ate peanut-butter-jam..\nOn 2020/03/30, I spent 34 talking to Nora, Lydia, Nevaeh on various topics in the late afternoon..\nOn 2020/03/30, I spent 30 minutes watching a documentary on TV today..\nOn 2020/03/31, I bought some nectarines, guava, chocolate milk, mouth wash, body lotion from the grocery store. I saw Piper, Piper, Eva, Rylee, Hazel, Lydia, Claire, Nevaeh, Avery, Kinsley at the grocery store..\nOn 2020/03/31, I had breakfast. I ate oatmeal..\nOn 2020/04/02, I had tacos for dinner with Kayden.\nOn 2020/04/02, I spent 7 minutes on social media today..\nOn 2020/04/02, I watched a tv series for 28 minutes on TV today..\nOn 2020/04/03, I had steak for lunch with Kayden.\nOn 2020/04/04, I had breakfast with Emily, Carter, Kayden, Andrew. I ate cereals..\nOn 2020/04/04, I had tacos for lunch with Emily.\nOn 2020/04/05, I did biking on 2020/04/05..\nOn 2020/04/06, I did weight lifting on 2020/04/06..\nOn 2020/04/06, I prepare sushi for dinner..\nOn 2020/04/06, I talked to Eva for 48 minutes in the morning..\nOn 2020/04/06, I spent 6 minutes watching a tv series on TV today..\nOn 2020/04/07, I prepare toast and cheese for breakfast..\nOn 2020/04/07, I talked to Hazel for 44 minutes in the morning..\nOn 2020/04/07, I spent 39 minutes reading news today..\nOn 2020/04/08, I bought some blackberries, pineapple juice, chocolate milk, apple juice, paper towel online..\nOn 2020/04/08, I ate cereals for breakfast..\nOn 2020/04/09, I had a burger for lunch with Avery, Claire.\nOn 2020/04/10, I really enjoyed working out on 2020/04/10.\nOn 2020/04/10, I spent 7 talking to Nevaeh, Eva, Rylee, Hazel on various topics late in the evening..\nOn 2020/04/11, I went on a date with Michael on 2020/04/11 at a restaurant.\nOn 2020/04/11, I ate pasta for dinner..\nOn 2020/04/11, I talked to Eva, Nora, Layla for 28 minutes late in the evening..\nOn 2020/04/13, I did biking on 2020/04/13..\nOn 2020/04/13, I spent 10 talking to Layla, Rylee on various topics in the morning..\nOn 2020/04/13, I spent 22 minutes reading social media today..\nOn 2020/04/13, I watched a documentary for 50 minutes on TV today..\nOn 2020/04/15, I had dinner. I ate sandwich..\nOn 2020/04/17, On 2020/04/17, I took Claire on a date to a boba shop.\nOn 2020/04/17, I had oatmeal for breakfast with Carter, Emily, Kayden.\nOn 2020/04/18, I spent some time working out on 2020/04/18..\nOn 2020/04/18, I watched news for 24 minutes on TV today..\nOn 2020/04/19, I had lunch with Olivia, Hazel, Kinsley. I ate chinese food..\nOn 2020/04/19, I spent 28 minutes reading news today..\nOn 2020/04/20, I went grocery shopping with Piper, Nevaeh, Hazel, Avery, Lydia, Kinsley, Eva, Olivia. I bought some mangos, pineapples, sports drinks, pineapple juice, mineral water, tea, and shampoo, toothbrush, paper towel, mouth wash.\nOn 2020/04/20, I prepare sandwich for dinner..\nOn 2020/04/21, I did running on 2020/04/21..\nOn 2020/04/21, I ate indian food for dinner..\nOn 2020/04/22, I had lunch. I ate a burger..\nOn 2020/04/23, I went grocery shopping with Jackson, Willow, Benjamin, Avery. I bought some guava, cherres, raspberries, mangos, guava juice, milk, chocolate milk, and mouthwash, facial wash, toothbrush.\nOn 2020/04/23, I had dinner with Carter, Andrew, Kayden. I ate chinese food..\nOn 2020/04/23, I spent 48 minutes on news today..\nOn 2020/04/24, I prepare pancakes for breakfast..\nOn 2020/04/24, I talked to Lydia for 35 minutes late in the evening..\nOn 2020/04/25, I did running on 2020/04/25..\nOn 2020/04/25, I had indian food for dinner with Carter.\nOn 2020/04/26, I did running on 2020/04/26..\nOn 2020/04/26, I had sandwich for lunch with Lydia, Piper.\nOn 2020/04/26, I prepare a burger for dinner..\nOn 2020/04/26, I spent 29 talking to Lydia, Hazel, Kinsley, Nevaeh on various topics in the early evening..\nOn 2020/04/26, I watched a movie for 39 minutes on TV today..\nOn 2020/04/27, I spent 29 talking to Rylee on various topics during lunch hours..\nOn 2020/04/28, I had breakfast with Benjamin. I ate eggs, sausages, and bread..\nOn 2020/04/28, I ate a burger for dinner..\nOn 2020/04/28, I spent 33 talking to Layla, Olivia, Kinsley, Avery on various topics in the early evening..\nOn 2020/04/28, I spent 39 minutes reading a book today..\nOn 2020/04/30, I had tacos for dinner with Benjamin, Willow, Avery, Jackson.\nOn 2020/05/01, I had eggs, sausages, and bread for breakfast with Layla, Nevaeh, Avery, Kinsley, Rylee, Piper, Eva, Nora.\nOn 2020/05/01, I prepare indian food for dinner..\nOn 2020/05/02, On 2020/05/02 Emily, Andrew and I went to Miami, US together for 10 days .\nOn 2020/05/02, On 2020/05/02, I took Isabella on a date to a coffee Shop.\nOn 2020/05/03, During my trip to Miami, US, I visited Miami Beach on 2020/05 with Emily, Andrew..\nOn 2020/05/03, I ate local food at El Zambo Street Food with Emily, Andrew on  2020/05/03 when I was in Miami, US..\nOn 2020/05/03, I had dinner. I ate a burger..\nOn 2020/05/03, I watched a tv series for 55 minutes on TV today..\nOn 2020/05/04, During my trip to Miami, US, I visited Vizcaya Museum and Gardens on 2020/05 with Emily, Andrew..\nOn 2020/05/04, I ate local food at El Zambo Street Food with Emily, Andrew on  2020/05/04 when I was in Miami, US..\nOn 2020/05/04, I prepare steak for lunch..\nOn 2020/05/05, During my trip to Miami, US, I visited South Beach on 2020/05 with Emily, Andrew..\nOn 2020/05/05, I watched a tv series for 46 minutes on TV today..\nOn 2020/05/06, During my trip to Miami, US, I visited Art Deco Historic District on 2020/05 with Emily, Andrew..\nOn 2020/05/06, I ate Japanese food at El Zambo Street Food with Emily, Andrew on  2020/05/06 when I was in Miami, US..\nOn 2020/05/06, I ate chinese food for lunch..\nOn 2020/05/06, I had fish and chips for dinner with Jackson, Avery, Willow, Benjamin.\nOn 2020/05/07, I ate Japanese food at El Zambo Street Food with Emily, Andrew on  2020/05/07 when I was in Miami, US..\nOn 2020/05/07, I had pasta for lunch with Carter, Kayden, Andrew, Emily.\nOn 2020/05/07, I spent 28 talking to Nora, Nevaeh on various topics during lunch hours..\nOn 2020/05/08, I ate Indian food at Miami Street Food Court with Emily, Andrew on  2020/05/08 when I was in Miami, US..\nOn 2020/05/08, I went on a date with Eva on 2020/05/08 at a park.\nOn 2020/05/08, I ate sandwich for lunch..\nOn 2020/05/08, I talked to Eva, Piper, Hazel, Claire for 51 minutes in the late afternoon..\nOn 2020/05/08, I spent 24 minutes on social media today..\nOn 2020/05/09, I ate Italian food at El Zambo Street Food with Emily, Andrew on  2020/05/09 when I was in Miami, US..\nOn 2020/05/09, I had cereals for breakfast with Andrew, Carter, Kayden.\nOn 2020/05/09, I had dinner with Claire, Hazel, Olivia, Avery, Layla, Lydia, Piper, Rylee, Eva, Piper, Kinsley, Nora. I ate indian food..\nOn 2020/05/10, I ate street food at Miami Street Food Court with Emily, Andrew on  2020/05/10 when I was in Miami, US..\nOn 2020/05/11, I ate Chinese food at Miami Street Food Court with Emily, Andrew on  2020/05/11 when I was in Miami, US..\nOn 2020/05/11, I spent 31 minutes reading a book today..\nOn 2020/05/12, I ate sushi for dinner..\nOn 2020/05/13, On 2020/05/13, I took Claire on a date to a park.\nOn 2020/05/13, I did hiking on 2020/05/13..\nOn 2020/05/15, I ate eggs, sausages, and bread for breakfast..\nOn 2020/05/15, I watched a documentary for 29 minutes on TV today..\nOn 2020/05/16, I really enjoyed gardening on 2020/05/16.\nOn 2020/05/16, I had pancakes for breakfast with Andrew.\nOn 2020/05/16, I spent 12 talking to Piper, Nevaeh on various topics late in the evening..\nOn 2020/05/17, I talked to Nora, Rylee, Nevaeh for 54 minutes in the early evening..\nOn 2020/05/17, I spent 27 minutes watching news on TV today..\nOn 2020/05/18, I did HIIT on 2020/05/18..\nOn 2020/05/18, I ate sandwich for dinner..\nOn 2020/05/18, I spent 25 talking to Lydia, Claire, Hazel, Layla on various topics in the early afternoon..\nOn 2020/05/19, I spent 13 minutes on a book today..\nOn 2020/05/20, I prepare peanut-butter-jam for breakfast..\nOn 2020/05/20, I had pasta for dinner with Willow, Jackson, Benjamin, Avery.\nOn 2020/05/21, I ate a burger for lunch..\nOn 2020/05/21, I spent 9 minutes on a book today..\nOn 2020/05/22, I prepare fish and chips for dinner..\nOn 2020/05/23, I spent 43 talking to Rylee, Olivia, Piper, Avery on various topics in the late afternoon..\nOn 2020/05/24, I had dinner with Kayden, Andrew, Emily, Carter. I ate tacos..\nOn 2020/05/25, I did swimming on 2020/05/25..\nOn 2020/05/25, I talked to Rylee, Avery, Layla for 34 minutes in the early evening..\nOn 2020/05/26, I went on a date with Austin on 2020/05/26 at a boba shop.\nOn 2020/05/26, I did weight lifting on 2020/05/26..\nOn 2020/05/26, I spent 8 talking to Piper on various topics during lunch hours..\nOn 2020/05/28, I had chinese food for lunch with Carter, Kayden.\nOn 2020/05/28, I had sushi for dinner with Olivia, Piper, Hazel, Kinsley, Layla, Claire, Nevaeh, Eva, Nora, Lydia, Avery.\nOn 2020/05/30, I prepare chinese food for lunch..\nOn 2020/05/30, I spent 47 talking to Avery, Olivia, Kinsley on various topics in the early afternoon..\nOn 2020/05/30, I spent 53 minutes on social media today..\nOn 2020/05/31, I spent 17 talking to Nora, Hazel, Layla on various topics in the late afternoon..\nOn 2020/05/31, I spent 46 minutes reading news today..\nOn 2020/05/31, I spent 18 minutes watching news on TV today..\nOn 2020/06/01, On 2020/06/01, I took Ellie on a date to a boba shop.\nOn 2020/06/01, I ate sushi for dinner..\nOn 2020/06/01, I spent 27 minutes reading news today..\nOn 2020/06/02, I prepare cereals for breakfast..\nOn 2020/06/02, I had lunch. I ate indian food..\nOn 2020/06/02, I spent 26 talking to Claire on various topics in the early afternoon..\nOn 2020/06/03, I spent 8 talking to Piper, Hazel on various topics in the morning..\nOn 2020/06/04, I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden, Andrew.\nOn 2020/06/04, I had lunch with Andrew, Carter, Emily. I ate chinese food..\nOn 2020/06/04, I spent 24 minutes reading a book today..\nOn 2020/06/06, I talked to Eva for 34 minutes during lunch hours..\nOn 2020/06/07, I prepare tacos for lunch..\nOn 2020/06/07, I talked to Piper, Olivia, Hazel, Eva for 38 minutes in the early afternoon..\nOn 2020/06/08, I had lunch. I ate pasta..\nOn 2020/06/08, I talked to Avery for 17 minutes in the early evening..\nOn 2020/06/09, I did swimming on 2020/06/09..\nOn 2020/06/09, I had lunch with Andrew. I ate sandwich..\nOn 2020/06/09, I spent 33 talking to Rylee on various topics during lunch hours..\nOn 2020/06/09, I spent 19 minutes reading news today..\nOn 2020/06/10, I prepare steak for dinner..\nOn 2020/06/11, I prepare tacos for lunch..\nOn 2020/06/11, I watched news for 20 minutes on TV today..\nOn 2020/06/12, I did HIIT on 2020/06/12..\nOn 2020/06/13, I went for an annual dental cleaning and checkup on 2020/06/13 at the hospital..\nOn 2020/06/13, I bought some apricots, cherres, pears, pineapple juice, toothpaste online..\nOn 2020/06/13, I spent 40 talking to Nevaeh, Layla, Kinsley on various topics during lunch hours..\nOn 2020/06/14, I had breakfast. I ate cereals..\nOn 2020/06/15, I did biking on 2020/06/15..\nOn 2020/06/15, I prepare a burger for lunch..\nOn 2020/06/15, I had tacos for dinner with Kinsley, Nora.\nOn 2020/06/15, I spent 14 minutes on a book today..\nOn 2020/06/16, I went for an annual physical checkup on 2020/06/16 at the private clinic..\nOn 2020/06/16, I spent some time meditation on 2020/06/16..\nOn 2020/06/16, I had cereals for breakfast with Jackson, Avery.\nOn 2020/06/16, I spent 40 minutes reading a book today..\nOn 2020/06/17, I spent 9 minutes on social media today..\nOn 2020/06/18, I talked to Piper, Kinsley for 55 minutes in the morning..\nOn 2020/06/18, I watched news for 16 minutes on TV today..\nOn 2020/06/19, I did hiking on 2020/06/19..\nOn 2020/06/20, I had breakfast with Carter, Andrew. I ate toast and cheese..\nOn 2020/06/21, I had lunch. I ate tacos..\nOn 2020/06/21, I talked to Lydia for 18 minutes during lunch hours..\nOn 2020/06/23, I prepare chinese food for lunch..\nOn 2020/06/24, I prepare pancakes for breakfast..\nOn 2020/06/24, I ate steak for lunch..\nOn 2020/06/24, I spent 51 minutes watching news on TV today..\nOn 2020/06/25, I did running on 2020/06/25..\nOn 2020/06/26, I had lunch with Andrew, Emily, Carter, Kayden. I ate sandwich..\nOn 2020/06/26, I ate steak for dinner..\nOn 2020/06/26, I talked to Layla for 41 minutes late in the evening..\nOn 2020/06/27, I did HIIT on 2020/06/27..\nOn 2020/06/27, I had dinner with Andrew, Emily. I ate pasta..\nOn 2020/06/29, I spent 51 minutes reading a book today..\nOn 2020/06/29, I watched a documentary for 33 minutes on TV today..\nOn 2020/06/30, I prepare indian food for lunch..\nOn 2020/06/30, I had indian food for dinner with Carter, Kayden.\nOn 2020/06/30, I spent 31 minutes watching news on TV today..\nOn 2020/07/01, I ate toast and cheese for breakfast..\nOn 2020/07/01, I had dinner with Kayden, Carter, Emily, Andrew. I ate pasta..\nOn 2020/07/01, I spent 27 minutes watching news on TV today..\nOn 2020/07/02, I had dinner with Jackson, Benjamin, Avery. I ate pasta..\nOn 2020/07/02, I spent 21 minutes watching a tv series on TV today..\nOn 2020/07/03, I talked to Lydia, Nevaeh, Piper for 21 minutes late in the evening..\nOn 2020/07/04, I ate sushi for lunch..\nOn 2020/07/05, I had breakfast with Lydia. I ate pancakes..\nOn 2020/07/05, I talked to Lydia, Claire, Piper for 26 minutes in the early afternoon..\nOn 2020/07/06, I did biking on 2020/07/06..\nOn 2020/07/06, I had lunch. I ate steak..\nOn 2020/07/06, I talked to Piper, Eva, Hazel for 40 minutes in the early afternoon..\nOn 2020/07/07, I went on a date with Peyton on 2020/07/07 at a coffee Shop.\nOn 2020/07/07, I spent time working out on 2020/07/07 with Carter..\nOn 2020/07/07, I had a burger for lunch with Kayden, Andrew, Carter, Emily.\nOn 2020/07/07, I spent 33 minutes on a book today..\nOn 2020/07/08, I did running on 2020/07/08..\nOn 2020/07/08, I had lunch. I ate chinese food..\nOn 2020/07/09, I spent 26 talking to Layla, Piper on various topics in the early afternoon..\nOn 2020/07/10, I did running on 2020/07/10..\nOn 2020/07/12, I watched news for 12 minutes on TV today..\nOn 2020/07/13, I did swimming on 2020/07/13..\nOn 2020/07/13, I spent 54 talking to Kinsley on various topics during lunch hours..\nOn 2020/07/15, I had indian food for lunch with Piper, Lydia.\nOn 2020/07/16, I had lunch with Avery, Rylee, Layla, Piper, Kinsley, Nevaeh, Hazel, Lydia, Eva, Claire, Olivia, Piper, Nora. I ate sandwich..\nOn 2020/07/18, On 2020/07/18, I took Everett on a date to a boba shop.\nOn 2020/07/18, I had breakfast with Eva, Rylee, Olivia, Claire, Nora, Nevaeh, Hazel, Layla, Piper, Piper, Kinsley, Avery, Lydia. I ate eggs, sausages, and bread..\nOn 2020/07/18, I had pasta for lunch with Carter, Kayden, Andrew.\nOn 2020/07/18, I prepare tacos for dinner..\nOn 2020/07/19, I had sushi for dinner with Kayden, Carter, Emily, Andrew.\nOn 2020/07/19, I talked to Piper, Nora, Lydia for 46 minutes in the early evening..\nOn 2020/07/23, I had lunch. I ate chinese food..\nOn 2020/07/24, I had breakfast. I ate cereals..\nOn 2020/07/26, I spent 13 talking to Hazel on various topics during lunch hours..\nOn 2020/07/28, I spent some time meditation on 2020/07/28..\nOn 2020/07/28, I did HIIT on 2020/07/28..\nOn 2020/07/28, I ate peanut-butter-jam for breakfast..\nOn 2020/07/28, I ate sandwich for dinner..\nOn 2020/07/28, I watched news for 5 minutes on TV today..\nOn 2020/07/29, I did running on 2020/07/29..\nOn 2020/07/29, I spent 28 talking to Kinsley on various topics in the late afternoon..\nOn 2020/07/29, I spent 28 minutes on news today..\nOn 2020/07/30, I spent 26 minutes reading social media today..\nOn 2020/07/31, I ate indian food for dinner..\nOn 2020/08/01, I had dinner. I ate a burger..\nOn 2020/08/01, I talked to Piper, Kinsley for 48 minutes during lunch hours..\nOn 2020/08/03, I spent 17 minutes reading social media today..\nOn 2020/08/04, I did weight lifting on 2020/08/04..\nOn 2020/08/05, I did weight lifting on 2020/08/05..\nOn 2020/08/06, I did running on 2020/08/06..\nOn 2020/08/06, I had cereals for breakfast with Emily, Andrew, Kayden, Carter.\nOn 2020/08/06, I had indian food for lunch with Avery, Jackson, Willow.\nOn 2020/08/07, I did HIIT on 2020/08/07..\nOn 2020/08/07, I had lunch with Eva, Nevaeh, Piper, Piper, Olivia, Nora. I ate tacos..\nOn 2020/08/07, I prepare tacos for dinner..\nOn 2020/08/07, I spent 29 minutes on news today..\nOn 2020/08/08, I spent 44 talking to Lydia, Claire, Eva on various topics in the morning..\nOn 2020/08/08, I spent 11 minutes watching a movie on TV today..\nOn 2020/08/09, On 2020/08/09, I took Eva on a date to a restaurant.\nOn 2020/08/09, I bought some blackberries, coffee, soda, toothpaste, body lotion, conditioner from the grocery store. I saw Kayden at the grocery store..\nOn 2020/08/09, I spent 9 minutes on social media today..\nOn 2020/08/10, I spent time yoga on 2020/08/10 with Carter..\nOn 2020/08/11, I had dinner. I ate a burger..\nOn 2020/08/13, I did hiking on 2020/08/13..\nOn 2020/08/15, I prepare toast and cheese for breakfast..\nOn 2020/08/15, I spent 55 talking to Nevaeh on various topics in the early evening..\nOn 2020/08/16, On 2020/08/16, I took Lillian on a date to a boba shop.\nOn 2020/08/16, I spent 51 minutes watching a documentary on TV today..\nOn 2020/08/17, I bought some cherres, nectarines, mangos, peaches, mango juice, apple juice, pineapple juice, toothpaste, paper towel, facial wash, body lotion online..\nOn 2020/08/17, I prepare a burger for lunch..\nOn 2020/08/17, I had dinner. I ate sandwich..\nOn 2020/08/17, I talked to Claire, Nevaeh, Nora for 26 minutes in the early afternoon..\nOn 2020/08/20, On 2020/08/20, I took Marzieh on a date to a boba shop.\nOn 2020/08/20, I prepare indian food for dinner..\nOn 2020/08/20, I talked to Nora for 10 minutes in the late afternoon..\nOn 2020/08/20, I spent 17 minutes reading social media today..\nOn 2020/08/22, I had chinese food for lunch with Nevaeh, Lydia, Hazel, Kinsley, Claire, Avery, Eva, Olivia, Piper, Layla.\nOn 2020/08/22, I had sushi for dinner with Emily.\nOn 2020/08/23, On 2020/08/23, I took Jordan on a date to a boba shop.\nOn 2020/08/24, I spent time yoga on 2020/08/24 with Kinsley, Hazel..\nOn 2020/08/24, I had dinner. I ate tacos..\nOn 2020/08/25, I had breakfast. I ate pancakes..\nOn 2020/08/25, I had lunch with Andrew. I ate sandwich..\nOn 2020/08/26, I had a burger for dinner with Emily, Kayden.\nOn 2020/08/27, I did running on 2020/08/27..\nOn 2020/08/27, I spent 20 minutes reading social media today..\nOn 2020/08/28, I had dinner. I ate chinese food..\nOn 2020/08/29, I spent 19 talking to Hazel, Piper, Piper, Eva on various topics during lunch hours..\nOn 2020/08/30, I had dinner with Andrew. I ate chinese food..\nOn 2020/08/30, I spent 24 talking to Avery on various topics during lunch hours..\nOn 2020/08/31, I did running on 2020/08/31..\nOn 2020/08/31, I had tacos for lunch with Avery, Benjamin.\nOn 2020/09/01, I went on a date with Silas on 2020/09/01 at a coffee Shop.\nOn 2020/09/01, I prepare a burger for dinner..\nOn 2020/09/01, I spent 39 minutes watching news on TV today..\nOn 2020/09/02, I had lunch. I ate chinese food..\nOn 2020/09/03, I did swimming on 2020/09/03..\nOn 2020/09/03, I spent 42 minutes reading social media today..\nOn 2020/09/04, I went grocery shopping with Nora, Layla, Olivia, Kinsley, Hazel, Rylee, Avery, Lydia, Nevaeh, Piper, Claire, Eva, Piper. I bought some blueberries, apricots, bananas, pineapples, guava juice, chocolate milk, and toilet paper.\nOn 2020/09/04, I prepare sandwich for dinner..\nOn 2020/09/05, I prepare peanut-butter-jam for breakfast..\nOn 2020/09/05, I had dinner with Kayden. I ate pasta..\nOn 2020/09/07, I prepare sandwich for dinner..\nOn 2020/09/07, I spent 31 talking to Nora, Eva on various topics in the late afternoon..\nOn 2020/09/08, I did swimming on 2020/09/08..\nOn 2020/09/08, I had pancakes for breakfast with Andrew.\nOn 2020/09/08, I had lunch. I ate pasta..\nOn 2020/09/08, I prepare indian food for dinner..\nOn 2020/09/09, I bought some pears, oranges, apples, soda, chocolate milk, apple juice, pineapple juice, shaving cream, facial wash online..\nOn 2020/09/09, I spent 40 talking to Claire, Nevaeh on various topics in the late afternoon..\nOn 2020/09/10, I prepare sushi for dinner..\nOn 2020/09/11, I did running on 2020/09/11..\nOn 2020/09/12, I went grocery shopping with Lydia, Olivia, Nevaeh, Eva, Layla, Avery, Piper, Rylee, Nora, Claire. I bought some apricots, guava, blackberries, chocolate milk, orange juice, apple juice, and shaving cream, facial wash, paper towel, shampoo.\nOn 2020/09/12, I did biking on 2020/09/12..\nOn 2020/09/12, I spent 31 minutes on social media today..\nOn 2020/09/12, I spent 29 minutes watching a movie on TV today..\nOn 2020/09/13, I ate peanut-butter-jam for breakfast..\nOn 2020/09/13, I had sandwich for dinner with Hazel, Piper, Avery, Eva, Piper, Olivia, Rylee, Claire, Kinsley, Nevaeh.\nOn 2020/09/14, I had dinner. I ate chinese food..\nOn 2020/09/15, I really enjoyed yoga on 2020/09/15.\nOn 2020/09/15, I ate oatmeal for breakfast..\nOn 2020/09/15, I ate sandwich for dinner..\nOn 2020/09/16, I did swimming on 2020/09/16..\nOn 2020/09/16, I had lunch with Rylee, Layla, Eva, Claire, Avery, Olivia, Piper, Piper, Kinsley, Nevaeh, Nora, Hazel, Lydia. I ate steak..\nOn 2020/09/16, I had dinner with Nevaeh, Eva, Avery, Piper, Claire, Nora. I ate pasta..\nOn 2020/09/17, I had lunch. I ate sushi..\nOn 2020/09/18, I spent 11 minutes on social media today..\nOn 2020/09/18, I spent 15 minutes watching news on TV today..\nOn 2020/09/19, I did swimming on 2020/09/19..\nOn 2020/09/19, I had dinner. I ate pasta..\nOn 2020/09/19, I spent 13 minutes on social media today..\nOn 2020/09/20, I spent 48 minutes watching a movie on TV today..\nOn 2020/09/21, On 2020/09/21, I took Piper on a date to a coffee Shop.\nOn 2020/09/21, I spent 26 talking to Kinsley, Rylee, Hazel on various topics in the early evening..\nOn 2020/09/22, I went grocery shopping with Andrew, Emily, Kayden, Carter. I bought some strawberries, peaches, apples, mineral water, coffee, apple juice, and body lotion, shampoo, mouth wash, toothbrush.\nOn 2020/09/22, I did biking on 2020/09/22..\nOn 2020/09/22, I talked to Kinsley for 37 minutes in the early afternoon..\nOn 2020/09/24, I prepare tacos for lunch..\nOn 2020/09/24, I spent 22 minutes watching a tv series on TV today..\nOn 2020/09/25, I prepare indian food for lunch..\nOn 2020/09/25, I spent 24 minutes watching a tv series on TV today..\nOn 2020/09/27, I ate peanut-butter-jam for breakfast..\nOn 2020/09/27, I spent 14 minutes on a book today..\nOn 2020/09/28, I spent time meditation on 2020/09/28 with Nora..\nOn 2020/09/28, I prepare pasta for dinner..\nOn 2020/09/29, I bought some peaches, chocolate milk, paper towel, facial wash, toilet paper, body lotion online..\nOn 2020/09/29, I talked to Piper, Layla, Avery, Nora for 49 minutes during lunch hours..\nOn 2020/09/29, I spent 11 minutes reading a book today..\nOn 2020/09/30, I had dinner with Hazel, Lydia, Piper, Nevaeh, Layla, Eva, Avery, Claire, Nora, Kinsley, Olivia, Rylee, Piper. I ate pasta..\nOn 2020/10/01, I had toast and cheese for breakfast with Emily, Carter.\nOn 2020/10/02, I spent 21 minutes watching a tv series on TV today..\nOn 2020/10/03, I went grocery shopping. I bought some raspberries, peaches, blueberries, apple juice, mineral water, guava juice, soda, and mouthwash, body lotion, facial wash, shaving cream.\nOn 2020/10/03, I ate tacos for dinner..\nOn 2020/10/03, I talked to Rylee, Nevaeh for 36 minutes during lunch hours..\nOn 2020/10/04, I really enjoyed learning a language on 2020/10/04.\nOn 2020/10/04, I spent 17 talking to Piper, Kinsley, Hazel, Avery on various topics late in the evening..\nOn 2020/10/06, On 2020/10/06, I took Aaliyah on a date to a boba shop.\nOn 2020/10/06, I watched a movie for 16 minutes on TV today..\nOn 2020/10/07, I spent time yoga on 2020/10/07 with Andrew..\nOn 2020/10/07, I ate chinese food for lunch..\nOn 2020/10/07, I spent 49 minutes on a book today..\nOn 2020/10/08, I did HIIT on 2020/10/08..\nOn 2020/10/08, I ate sandwich for dinner..\nOn 2020/10/08, I talked to Layla, Claire, Kinsley for 34 minutes in the early afternoon..\nOn 2020/10/09, I went grocery shopping. I bought some peaches, guava, raspberries, strawberries, chocolate milk, mineral water, orange juice, milk, and toothpaste, body lotion, conditioner, paper towel.\nOn 2020/10/09, I spent 27 minutes reading news today..\nOn 2020/10/10, I did running on 2020/10/10..\nOn 2020/10/11, I went grocery shopping. I bought some blueberries, mineral water, sports drinks, orange juice, and mouth wash, facial wash.\nOn 2020/10/11, I had dinner with Carter. I ate fish and chips..\nOn 2020/10/12, I talked to Piper, Piper for 13 minutes during lunch hours..\nOn 2020/10/12, I spent 23 minutes reading a book today..\nOn 2020/10/12, I watched a tv series for 39 minutes on TV today..\nOn 2020/10/13, I had dinner with Olivia, Claire, Rylee, Nevaeh. I ate a burger..\nOn 2020/10/13, I spent 44 minutes watching a documentary on TV today..\nOn 2020/10/14, I did weight lifting on 2020/10/14..\nOn 2020/10/15, I had chinese food for lunch with Emily.\nOn 2020/10/17, I watched a movie for 51 minutes on TV today..\nOn 2020/10/18, I did hiking on 2020/10/18..\nOn 2020/10/18, I ate toast and cheese for breakfast..\nOn 2020/10/19, I had breakfast. I ate peanut-butter-jam..\nOn 2020/10/20, I had lunch with Avery. I ate pasta..\nOn 2020/10/20, I spent 52 talking to Hazel, Lydia on various topics during lunch hours..\nOn 2020/10/20, I spent 15 minutes reading news today..\nOn 2020/10/21, I did HIIT on 2020/10/21..\nOn 2020/10/22, I had dinner. I ate fish and chips..\nOn 2020/10/22, I spent 17 minutes reading a book today..\nOn 2020/10/23, I spent 30 talking to Layla, Avery, Piper on various topics in the early evening..\nOn 2020/10/23, I spent 27 minutes reading social media today..\nOn 2020/10/23, I watched a documentary for 27 minutes on TV today..\nOn 2020/10/24, I spent 29 minutes watching news on TV today..\nOn 2020/10/25, I spent time learning a language on 2020/10/25 with Carter, Emily..\nOn 2020/10/25, I did HIIT on 2020/10/25..\nOn 2020/10/25, I spent 17 talking to Lydia, Piper on various topics in the early evening..\nOn 2020/10/26, I spent 39 talking to Hazel, Piper on various topics in the morning..\nOn 2020/10/26, I spent 34 minutes reading news today..\nOn 2020/10/27, I went on a date with Owen on 2020/10/27 at a coffee Shop.\nOn 2020/10/27, I did HIIT on 2020/10/27..\nOn 2020/10/27, I had dinner with Emily. I ate pasta..\nOn 2020/10/27, I spent 39 talking to Eva, Piper, Layla, Claire on various topics during lunch hours..\nOn 2020/10/27, I spent 30 minutes reading social media today..\nOn 2020/10/28, I had breakfast. I ate oatmeal..\nOn 2020/10/29, I had breakfast with Hazel, Olivia, Lydia. I ate eggs, sausages, and bread..\nOn 2020/10/29, I ate steak for lunch..\nOn 2020/10/29, I prepare fish and chips for dinner..\nOn 2020/10/30, I had eggs, sausages, and bread for breakfast with Kayden.\nOn 2020/10/31, I did biking on 2020/10/31..\nOn 2020/10/31, I had eggs, sausages, and bread for breakfast with Benjamin.\nOn 2020/10/31, I had sushi for lunch with Willow, Jackson, Avery.\nOn 2020/11/01, I did swimming on 2020/11/01..\nOn 2020/11/02, I did biking on 2020/11/02..\nOn 2020/11/02, I ate indian food for dinner..\nOn 2020/11/02, I spent 5 minutes on news today..\nOn 2020/11/03, I entertained Claire, Olivia at my place on 2020/11/03 and cook cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla.\nOn 2020/11/03, On 2020/11/03, I took Rylee on a date to a coffee Shop.\nOn 2020/11/03, I spent 47 minutes on social media today..\nOn 2020/11/04, I had breakfast. I ate pancakes..\nOn 2020/11/04, I had lunch with Layla, Hazel, Nora, Avery. I ate tacos..\nOn 2020/11/04, I spent 15 minutes watching a movie on TV today..\nOn 2020/11/05, I spent 42 minutes on a book today..\nOn 2020/11/06, I spent 33 minutes reading a book today..\nOn 2020/11/07, I had lunch. I ate steak..\nOn 2020/11/07, I ate tacos for dinner..\nOn 2020/11/08, I spent some time yoga on 2020/11/08..\nOn 2020/11/08, I did running on 2020/11/08..\nOn 2020/11/08, I prepare pancakes for breakfast..\nOn 2020/11/08, I spent 17 minutes watching news on TV today..\nOn 2020/11/09, I had lunch with Nora, Nevaeh, Piper, Layla, Piper, Kinsley, Lydia. I ate tacos..\nOn 2020/11/10, I bought some pineapples, guava, bananas, milk, coffee, tea, facial wash online..\nOn 2020/11/10, I did HIIT on 2020/11/10..\nOn 2020/11/10, I spent 26 minutes watching a documentary on TV today..\nOn 2020/11/11, I had lunch with Lydia, Hazel, Olivia, Eva, Nora, Rylee, Piper, Kinsley, Avery, Layla, Nevaeh. I ate sandwich..\nOn 2020/11/12, I prepare chinese food for dinner..\nOn 2020/11/12, I spent 15 talking to Piper, Rylee, Lydia on various topics late in the evening..\nOn 2020/11/13, I bought some pears, bananas, strawberries, nectarines, guava juice, pineapple juice, mouth wash, mouthwash, toilet paper, conditioner online..\nOn 2020/11/13, I did biking on 2020/11/13..\nOn 2020/11/13, I talked to Olivia, Piper, Claire, Avery for 14 minutes in the late afternoon..\nOn 2020/11/14, I spent time working out on 2020/11/14 with Andrew, Emily..\nOn 2020/11/14, I went grocery shopping with Andrew, Emily. I bought some mangos, blueberries, mandarins, pineapple juice, soda, guava juice, mango juice, and conditioner, toothbrush, toilet paper.\nOn 2020/11/14, I did biking on 2020/11/14..\nOn 2020/11/15, I did weight lifting on 2020/11/15..\nOn 2020/11/15, I had chinese food for dinner with Andrew.\nOn 2020/11/15, I spent 38 talking to Layla, Avery, Eva, Kinsley on various topics in the early afternoon..\nOn 2020/11/17, On 2020/11/17, I took Nora on a date to a coffee Shop.\nOn 2020/11/17, I prepare a burger for lunch..\nOn 2020/11/17, I had dinner. I ate fish and chips..\nOn 2020/11/17, I spent 13 minutes reading a book today..\nOn 2020/11/18, I had chinese food for lunch with Andrew, Carter, Emily, Kayden.\nOn 2020/11/19, I did swimming on 2020/11/19..\nOn 2020/11/19, I talked to Layla for 37 minutes late in the evening..\nOn 2020/11/20, I went on a date with Brooklyn on 2020/11/20 at a park.\nOn 2020/11/21, I did weight lifting on 2020/11/21..\nOn 2020/11/21, I spent 9 minutes watching a documentary on TV today..\nOn 2020/11/22, I bought some blueberries, pineapples, watermelons, guava, soda, toothpaste, mouth wash, mouthwash, facial wash online..\nOn 2020/11/22, I spent 44 minutes reading a book today..\nOn 2020/11/24, I prepare toast and cheese for breakfast..\nOn 2020/11/24, I talked to Piper for 22 minutes in the early afternoon..\nOn 2020/11/25, I ate a burger for lunch..\nOn 2020/11/27, I talked to Kinsley, Claire for 31 minutes during lunch hours..\nOn 2020/11/28, I spent 49 talking to Rylee, Hazel on various topics in the early evening..\nOn 2020/11/28, I spent 53 minutes reading social media today..\nOn 2020/11/29, I talked to Piper, Nora, Layla, Eva for 50 minutes in the early afternoon..\nOn 2020/11/29, I spent 15 minutes on social media today..\nOn 2020/11/30, I did HIIT on 2020/11/30..\nOn 2020/11/30, I had toast and cheese for breakfast with Willow, Avery.\nOn 2020/12/02, I spent 15 minutes reading news today..\nOn 2020/12/03, I prepare indian food for dinner..\nOn 2020/12/05, I did biking on 2020/12/05..\nOn 2020/12/05, I had dinner with Jackson, Benjamin, Willow, Avery. I ate fish and chips..\nOn 2020/12/07, I did hiking on 2020/12/07..\nOn 2020/12/07, I prepare pancakes for breakfast..\nOn 2020/12/07, I had lunch with Claire, Hazel, Olivia, Nevaeh, Avery, Lydia, Nora, Piper. I ate sushi..\nOn 2020/12/08, I had lunch. I ate chinese food..\nOn 2020/12/08, I spent 54 talking to Piper, Eva, Avery, Kinsley on various topics in the morning..\nOn 2020/12/10, I prepare toast and cheese for breakfast..\nOn 2020/12/10, I had lunch with Piper, Avery, Claire, Kinsley, Eva, Nora, Layla, Nevaeh, Hazel, Piper, Lydia, Olivia. I ate chinese food..\nOn 2020/12/10, I prepare a burger for dinner..\nOn 2020/12/10, I talked to Nevaeh, Nora, Layla, Hazel for 52 minutes in the early afternoon..\nOn 2020/12/11, I did HIIT on 2020/12/11..\nOn 2020/12/11, I had lunch. I ate sushi..\nOn 2020/12/11, I had dinner with Benjamin, Jackson, Avery, Willow. I ate sushi..\nOn 2020/12/11, I spent 19 talking to Rylee, Piper on various topics in the late afternoon..\nOn 2020/12/12, I had chinese food for lunch with Hazel, Eva, Rylee, Lydia, Piper, Nora, Avery, Claire, Layla, Kinsley, Nevaeh, Piper.\nOn 2020/12/13, I spent 53 talking to Hazel on various topics late in the evening..\nOn 2020/12/14, I had breakfast. I ate eggs, sausages, and bread..\nOn 2020/12/15, I spent 55 talking to Nora, Piper, Avery on various topics late in the evening..\nOn 2020/12/15, I spent 36 minutes watching a documentary on TV today..\nOn 2020/12/16, On 2020/12/16, I took Amelia on a date to a boba shop.\nOn 2020/12/16, I had cereals for breakfast with Piper, Eva, Hazel, Nora, Lydia, Kinsley, Claire.\nOn 2020/12/16, I had dinner with Andrew, Kayden, Carter. I ate tacos..\nOn 2020/12/16, I spent 10 minutes watching news on TV today..\nOn 2020/12/17, I did biking on 2020/12/17..\nOn 2020/12/17, I ate toast and cheese for breakfast..\nOn 2020/12/18, I ate chinese food for dinner..\nOn 2020/12/20, I had breakfast with Carter. I ate oatmeal..\nOn 2020/12/20, I had a burger for dinner with Willow, Jackson, Avery.\nOn 2020/12/20, I spent 44 talking to Lydia, Claire on various topics in the late afternoon..\nOn 2020/12/22, I went grocery shopping with Avery, Willow, Benjamin, Jackson. I bought some cherres, guava, bananas, apple juice, mineral water, and toothpaste, paper towel, toilet paper, toothbrush.\nOn 2020/12/22, I spent 29 minutes on news today..\nOn 2020/12/23, I had pasta for lunch with Benjamin.\nOn 2020/12/23, I ate tacos for dinner..\nOn 2020/12/25, I spent 39 minutes on a book today..\nOn 2020/12/25, I watched a documentary for 16 minutes on TV today..\nOn 2020/12/26, I had tacos for dinner with Kayden, Andrew.\nOn 2020/12/26, I talked to Avery, Nevaeh for 46 minutes in the morning..\nOn 2020/12/26, I spent 29 minutes reading social media today..\nOn 2020/12/27, I did running on 2020/12/27..\nOn 2020/12/27, I had steak for dinner with Avery, Eva, Olivia, Kinsley.\nOn 2020/12/27, I spent 44 talking to Nevaeh, Olivia, Layla on various topics in the early evening..\nOn 2020/12/28, I went grocery shopping with Eva, Claire, Rylee, Nora, Olivia, Piper, Lydia, Nevaeh. I bought some apricots, mangos, pears, clementines, milk, soda, sports drinks, and shaving cream, conditioner.\nOn 2020/12/30, I had eggs, sausages, and bread for breakfast with Emily.\nOn 2020/12/30, I had lunch with Eva, Claire, Hazel, Nevaeh, Avery, Rylee, Kinsley, Lydia, Piper, Nora, Layla, Piper. I ate pasta..\nOn 2020/12/30, I spent 54 talking to Hazel, Claire on various topics in the early evening..\nOn 2020/12/31, I spent time yoga on 2020/12/31 with Piper, Hazel, Piper..\nOn 2020/12/31, I did weight lifting on 2020/12/31..\nOn 2020/12/31, I had fish and chips for dinner with Avery, Nevaeh, Piper, Claire, Lydia, Piper, Hazel, Olivia, Nora, Eva, Rylee, Layla.\nOn 2021/01/01, I had lunch with Nevaeh, Kinsley, Avery, Eva, Rylee, Layla, Claire. I ate pasta..\nOn 2021/01/02, I talked to Kinsley, Claire, Nevaeh, Lydia for 40 minutes in the early afternoon..\nOn 2021/01/03, I did hiking on 2021/01/03..\nOn 2021/01/03, I prepare toast and cheese for breakfast..\nOn 2021/01/03, I had dinner. I ate a burger..\nOn 2021/01/03, I spent 29 talking to Piper, Kinsley, Hazel, Layla on various topics during lunch hours..\nOn 2021/01/03, I spent 32 minutes on a book today..\nOn 2021/01/07, I did HIIT on 2021/01/07..\nOn 2021/01/07, I watched a movie for 34 minutes on TV today..\nOn 2021/01/08, I prepare cereals for breakfast..\nOn 2021/01/08, I ate sandwich for dinner..\nOn 2021/01/08, I talked to Claire, Hazel, Lydia, Avery for 12 minutes late in the evening..\nOn 2021/01/09, I went grocery shopping. I bought some pears, sports drinks, mango juice, and shampoo, toothbrush.\nOn 2021/01/09, I did HIIT on 2021/01/09..\nOn 2021/01/10, On 2021/01/10, I took Wyatt on a date to a restaurant.\nOn 2021/01/10, I had lunch. I ate a burger..\nOn 2021/01/10, I prepare pasta for dinner..\nOn 2021/01/10, I spent 11 minutes watching a documentary on TV today..\nOn 2021/01/11, I prepare toast and cheese for breakfast..\nOn 2021/01/11, I talked to Nora, Piper, Eva, Piper for 36 minutes in the early evening..\nOn 2021/01/13, I had dinner with Carter, Kayden, Andrew. I ate sushi..\nOn 2021/01/13, I spent 49 talking to Lydia, Hazel, Claire, Nevaeh on various topics in the early afternoon..\nOn 2021/01/14, I bought some pineapples, watermelons, mangos, peaches, guava juice, apple juice, tea, pineapple juice, toothbrush, toothpaste, mouth wash, body lotion online..\nOn 2021/01/14, I spent 20 minutes reading a book today..\nOn 2021/01/15, I had lunch. I ate steak..\nOn 2021/01/15, I talked to Rylee, Claire, Eva, Piper for 52 minutes in the late afternoon..\nOn 2021/01/15, I spent 25 minutes on social media today..\nOn 2021/01/16, I had breakfast. I ate toast and cheese..\nOn 2021/01/16, I spent 21 minutes on social media today..\nOn 2021/01/17, I did hiking on 2021/01/17..\nOn 2021/01/18, I went on a date with Nova on 2021/01/18 at a park.\nOn 2021/01/18, I did biking on 2021/01/18..\nOn 2021/01/18, I spent 48 minutes reading social media today..\nOn 2021/01/19, I had pancakes for breakfast with Willow, Benjamin.\nOn 2021/01/19, I spent 7 minutes reading news today..\nOn 2021/01/20, I had dinner with Benjamin, Avery, Willow, Jackson. I ate indian food..\nOn 2021/01/22, I prepare sushi for dinner..\nOn 2021/01/23, I prepare pasta for dinner..\nOn 2021/01/24, I had breakfast. I ate pancakes..\nOn 2021/01/25, I did running on 2021/01/25..\nOn 2021/01/25, I talked to Rylee for 51 minutes in the late afternoon..\nOn 2021/01/26, I had steak for dinner with Kayden, Carter.\nOn 2021/01/27, I had lunch with Carter, Kayden, Emily. I ate steak..\nOn 2021/01/27, I spent 40 minutes reading news today..\nOn 2021/01/28, On 2021/01/28, I took Zoe on a date to a boba shop.\nOn 2021/01/28, I bought some strawberries, guava, oranges, clementines, pineapple juice, shampoo, mouthwash from the grocery store. I saw Kayden at the grocery store..\nOn 2021/01/28, I prepare peanut-butter-jam for breakfast..\nOn 2021/01/28, I spent 13 minutes on social media today..\nOn 2021/01/29, I had toast and cheese for breakfast with Emily.\nOn 2021/01/29, I had sushi for lunch with Andrew, Carter.\nOn 2021/01/30, I spent time working out on 2021/01/30 with Jackson..\nOn 2021/01/31, I did hiking on 2021/01/31..\nOn 2021/01/31, I talked to Piper, Eva for 23 minutes during lunch hours..\nOn 2021/01/31, I watched a movie for 38 minutes on TV today..\nOn 2021/02/01, I did weight lifting on 2021/02/01..\nOn 2021/02/01, I spent 14 minutes on a book today..\nOn 2021/02/01, I watched a movie for 46 minutes on TV today..\nOn 2021/02/02, I did biking on 2021/02/02..\nOn 2021/02/02, I had breakfast with Jackson. I ate peanut-butter-jam..\nOn 2021/02/02, I spent 26 talking to Eva, Lydia on various topics late in the evening..\nOn 2021/02/03, I did running on 2021/02/03..\nOn 2021/02/03, I spent 35 minutes reading news today..\nOn 2021/02/03, I watched a documentary for 29 minutes on TV today..\nOn 2021/02/04, I did swimming on 2021/02/04..\nOn 2021/02/04, I spent 38 talking to Nevaeh on various topics in the early evening..\nOn 2021/02/05, I ate a burger for dinner..\nOn 2021/02/06, I had steak for dinner with Andrew, Kayden, Emily.\nOn 2021/02/07, On 2021/02/07 Emily, Carter and I went to Dubai, UAE together for 12 days .\nOn 2021/02/07, I had sandwich for dinner with Andrew, Kayden, Carter.\nOn 2021/02/08, During my trip to Dubai, UAE, I visited Miracle Garden on 2021/02 with Emily, Carter..\nOn 2021/02/08, On 2021/02/08, I took Eliana on a date to a park.\nOn 2021/02/08, I bought some oranges, peaches, mandarins, pineapple juice, coffee, body lotion, paper towel, shampoo from the grocery store. I saw Avery, Benjamin, Jackson at the grocery store..\nOn 2021/02/08, I had toast and cheese for breakfast with Jackson, Avery, Willow, Benjamin.\nOn 2021/02/08, I watched a documentary for 54 minutes on TV today..\nOn 2021/02/09, During my trip to Dubai, UAE, I visited Dubai Aquarium & Underwater Zoo on 2021/02 with Emily, Carter..\nOn 2021/02/09, I ate Indian food at Falafel Alzaeem with Emily, Carter on  2021/02/09 when I was in Dubai, UAE..\nOn 2021/02/09, I prepare oatmeal for breakfast..\nOn 2021/02/09, I had sushi for lunch with Emily.\nOn 2021/02/09, I talked to Lydia, Nevaeh, Piper for 6 minutes in the early evening..\nOn 2021/02/09, I spent 12 minutes watching a movie on TV today..\nOn 2021/02/10, During my trip to Dubai, UAE, I visited Burj Khalifa on 2021/02 with Emily, Carter..\nOn 2021/02/10, I ate Italian food at Falafel Alzaeem with Emily, Carter on  2021/02/10 when I was in Dubai, UAE..\nOn 2021/02/10, I spent 18 talking to Avery, Nevaeh, Kinsley, Piper on various topics late in the evening..\nOn 2021/02/11, I ate Japanese food at Falafel Alzaeem with Emily, Carter on  2021/02/11 when I was in Dubai, UAE..\nOn 2021/02/11, Emily for his/her  and I went for an annual physical checkup at the university hospital on 2021/02/11..\nOn 2021/02/11, I had breakfast with Andrew. I ate peanut-butter-jam..\nOn 2021/02/11, I spent 48 minutes reading news today..\nOn 2021/02/11, I watched a movie for 14 minutes on TV today..\nOn 2021/02/12, I ate local food at Sind Punjab with Emily, Carter on  2021/02/12 when I was in Dubai, UAE..\nOn 2021/02/13, I ate Italian food at Falafel Alzaeem with Emily, Carter on  2021/02/13 when I was in Dubai, UAE..\nOn 2021/02/14, I ate Japanese food at Sind Punjab with Emily, Carter on  2021/02/14 when I was in Dubai, UAE..\nOn 2021/02/14, I ate a burger for dinner..\nOn 2021/02/14, I spent 27 minutes on a book today..\nOn 2021/02/15, I ate Indian food at Falafel Alzaeem with Emily, Carter on  2021/02/15 when I was in Dubai, UAE..\nOn 2021/02/15, I spent 41 talking to Claire, Avery on various topics in the morning..\nOn 2021/02/16, I did running on 2021/02/16..\nOn 2021/02/16, I ate pasta for lunch..\nOn 2021/02/16, I spent 14 minutes reading social media today..\nOn 2021/02/17, I ate Japanese food at Hor Al Anz Bakery with Emily, Carter on  2021/02/17 when I was in Dubai, UAE..\nOn 2021/02/18, I ate street food at Falafel Alzaeem with Emily, Carter on  2021/02/18 when I was in Dubai, UAE..\nOn 2021/02/18, I had lunch. I ate indian food..\nOn 2021/02/18, I prepare sandwich for dinner..\nOn 2021/02/18, I spent 41 minutes watching a movie on TV today..\nOn 2021/02/19, I went on a date with Lillian on 2021/02/19 at a boba shop.\nOn 2021/02/20, I talked to Hazel, Nora, Claire, Eva for 7 minutes in the early evening..\nOn 2021/02/21, I talked to Olivia for 42 minutes during lunch hours..\nOn 2021/02/22, I ate pasta for lunch..\nOn 2021/02/23, I had breakfast. I ate peanut-butter-jam..\nOn 2021/02/24, I really enjoyed gardening on 2021/02/24.\nOn 2021/02/24, I spent 40 talking to Hazel, Nevaeh on various topics in the late afternoon..\nOn 2021/02/24, I spent 43 minutes reading social media today..\nOn 2021/02/24, I watched news for 20 minutes on TV today..\nOn 2021/02/25, I prepare sushi for lunch..\nOn 2021/02/25, I spent 51 minutes watching news on TV today..\nOn 2021/02/26, I prepare chinese food for dinner..\nOn 2021/02/27, I talked to Avery, Eva, Lydia for 52 minutes in the morning..\nOn 2021/02/27, I spent 14 minutes on a book today..\nOn 2021/02/28, I did biking on 2021/02/28..\nOn 2021/02/28, I prepare tacos for lunch..\nOn 2021/03/01, I went on a date with Avery on 2021/03/01 at a park.\nOn 2021/03/01, I prepare peanut-butter-jam for breakfast..\nOn 2021/03/02, I bought some peaches, mangos, strawberries, oranges, mango juice, paper towel from the grocery store. I saw Eva, Kinsley, Rylee, Layla, Nora, Avery, Lydia, Olivia at the grocery store..\nOn 2021/03/02, I spent 35 minutes reading social media today..\nOn 2021/03/03, I watched a documentary for 53 minutes on TV today..\nOn 2021/03/04, I had lunch with Nora, Rylee, Nevaeh, Layla, Eva. I ate tacos..\nOn 2021/03/05, I spent some time working out on 2021/03/05..\nOn 2021/03/05, I ate sandwich for lunch..\nOn 2021/03/05, I spent 38 minutes watching a documentary on TV today..\nOn 2021/03/06, I went grocery shopping with Jackson, Willow, Benjamin, Avery. I bought some peaches, mangos, oranges, blueberries, guava juice, chocolate milk, and conditioner.\nOn 2021/03/06, I prepare cereals for breakfast..\nOn 2021/03/07, I had breakfast. I ate cereals..\nOn 2021/03/07, I spent 44 talking to Kinsley, Nevaeh on various topics late in the evening..\nOn 2021/03/08, I had dinner. I ate pasta..\nOn 2021/03/08, I spent 55 minutes watching a documentary on TV today..\nOn 2021/03/09, I had tacos for dinner with Avery, Benjamin, Willow.\nOn 2021/03/09, I spent 47 minutes watching a documentary on TV today..\nOn 2021/03/10, I had cereals for breakfast with Emily, Carter.\nOn 2021/03/10, I had dinner. I ate sandwich..\nOn 2021/03/10, I talked to Avery, Piper for 52 minutes in the early afternoon..\nOn 2021/03/10, I spent 17 minutes watching news on TV today..\nOn 2021/03/11, I ate oatmeal for breakfast..\nOn 2021/03/11, I had chinese food for lunch with Avery, Claire.\nOn 2021/03/13, I had oatmeal for breakfast with Kayden, Emily.\nOn 2021/03/13, I spent 12 minutes on news today..\nOn 2021/03/13, I watched a documentary for 43 minutes on TV today..\nOn 2021/03/14, I talked to Avery, Kinsley, Rylee for 30 minutes late in the evening..\nOn 2021/03/15, I went grocery shopping. I bought some pineapples, mangos, apples, apple juice, orange juice, chocolate milk, pineapple juice, and mouthwash, shaving cream, conditioner, paper towel.\nOn 2021/03/15, I had toast and cheese for breakfast with Andrew, Carter, Kayden.\nOn 2021/03/15, I talked to Eva, Avery, Piper for 37 minutes in the morning..\nOn 2021/03/16, I had oatmeal for breakfast with Hazel, Eva, Layla, Lydia, Claire, Kinsley.\nOn 2021/03/16, I spent 6 minutes reading social media today..\nOn 2021/03/17, I did hiking on 2021/03/17..\nOn 2021/03/17, I had lunch. I ate sandwich..\nOn 2021/03/17, I ate indian food for dinner..\nOn 2021/03/17, I spent 53 minutes reading social media today..\nOn 2021/03/18, I prepare pancakes for breakfast..\nOn 2021/03/18, I talked to Layla for 42 minutes in the early evening..\nOn 2021/03/18, I spent 28 minutes reading social media today..\nOn 2021/03/19, I really enjoyed cooking poke on 2021/03/19 with Andrew, Emily at my place.\nOn 2021/03/19, I did hiking on 2021/03/19..\nOn 2021/03/19, I had breakfast. I ate peanut-butter-jam..\nOn 2021/03/19, I ate pasta for dinner..\nOn 2021/03/22, I talked to Rylee, Kinsley, Claire for 50 minutes in the early afternoon..\nOn 2021/03/22, I watched a documentary for 42 minutes on TV today..\nOn 2021/03/23, I did biking on 2021/03/23..\nOn 2021/03/24, I took Kayden for his/her  for an annual physical checkup on 2021/03/24 at the university hospital..\nOn 2021/03/24, I spent 53 talking to Avery, Kinsley, Piper on various topics during lunch hours..\nOn 2021/03/24, I watched a movie for 26 minutes on TV today..\nOn 2021/03/25, I bought some cherres, tea, mineral water, sports drinks, paper towel, shaving cream, body lotion from the grocery store. I saw Eva, Nora, Piper, Claire, Olivia, Nevaeh, Piper, Avery, Hazel, Lydia, Rylee at the grocery store..\nOn 2021/03/25, I did biking on 2021/03/25..\nOn 2021/03/26, I had lunch. I ate fish and chips..\nOn 2021/03/26, I spent 11 talking to Claire, Kinsley, Avery on various topics late in the evening..\nOn 2021/03/27, I did HIIT on 2021/03/27..\nOn 2021/03/27, I had lunch. I ate a burger..\nOn 2021/03/27, I spent 45 minutes on social media today..\nOn 2021/03/28, I had lunch. I ate sandwich..\nOn 2021/03/28, I spent 44 talking to Layla, Eva, Piper, Nevaeh on various topics during lunch hours..\nOn 2021/03/28, I spent 38 minutes on news today..\nOn 2021/03/29, I went on a date with Aaliyah on 2021/03/29 at a park.\nOn 2021/03/30, I ate indian food for dinner..\nOn 2021/03/30, I spent 44 talking to Olivia, Eva, Layla on various topics in the early evening..\nOn 2021/03/31, I ate steak for dinner..\nOn 2021/04/01, I talked to Kinsley, Piper for 10 minutes in the early evening..\nOn 2021/04/02, I had fish and chips for lunch with Andrew.\nOn 2021/04/02, I spent 7 minutes watching a tv series on TV today..\nOn 2021/04/03, I ate eggs, sausages, and bread for breakfast..\nOn 2021/04/03, I ate chinese food for dinner..\nOn 2021/04/03, I spent 5 talking to Eva, Nora on various topics in the early evening..\nOn 2021/04/03, I spent 7 minutes on a book today..\nOn 2021/04/04, I bought some apricots, chocolate milk, facial wash, shaving cream, toilet paper online..\nOn 2021/04/04, I prepare pasta for lunch..\nOn 2021/04/04, I watched a tv series for 53 minutes on TV today..\nOn 2021/04/05, I watched news for 16 minutes on TV today..\nOn 2021/04/07, I went grocery shopping. I bought some mandarins, pears, pineapple juice, milk, apple juice, chocolate milk, and conditioner, shaving cream, toothpaste, toilet paper.\nOn 2021/04/07, I had lunch. I ate sushi..\nOn 2021/04/07, I spent 18 minutes reading news today..\nOn 2021/04/08, I had dinner. I ate chinese food..\nOn 2021/04/08, I spent 9 talking to Piper, Lydia, Piper, Claire on various topics in the early afternoon..\nOn 2021/04/09, I went grocery shopping with Andrew, Emily, Kayden. I bought some blueberries, mandarins, pineapples, strawberries, soda, orange juice, milk, coffee, and toothpaste, toothbrush, paper towel.\nOn 2021/04/10, I spent 41 minutes watching a tv series on TV today..\nOn 2021/04/11, I ate indian food for lunch..\nOn 2021/04/11, I talked to Piper, Avery, Kinsley for 29 minutes in the early evening..\nOn 2021/04/12, I ate sandwich for dinner..\nOn 2021/04/13, I had lunch with Emily. I ate tacos..\nOn 2021/04/14, I prepare peanut-butter-jam for breakfast..\nOn 2021/04/14, I ate chinese food for lunch..\nOn 2021/04/14, I talked to Claire, Piper, Kinsley for 20 minutes in the early evening..\nOn 2021/04/15, I spent 37 talking to Claire on various topics during lunch hours..\nOn 2021/04/16, I watched news for 13 minutes on TV today..\nOn 2021/04/18, I had dinner. I ate a burger..\nOn 2021/04/18, I talked to Nora, Claire for 45 minutes in the morning..\nOn 2021/04/18, I spent 31 minutes watching a movie on TV today..\nOn 2021/04/19, I went grocery shopping. I bought some pineapples, oranges, strawberries, guava juice, and toothpaste, paper towel, shampoo.\nOn 2021/04/20, I had breakfast with Jackson, Benjamin, Avery, Willow. I ate eggs, sausages, and bread..\nOn 2021/04/20, I spent 41 talking to Rylee on various topics late in the evening..\nOn 2021/04/21, I did hiking on 2021/04/21..\nOn 2021/04/21, I had lunch with Emily. I ate sandwich..\nOn 2021/04/22, I prepare cereals for breakfast..\nOn 2021/04/23, I spent 12 talking to Lydia, Olivia, Hazel on various topics late in the evening..\nOn 2021/04/25, I did HIIT on 2021/04/25..\nOn 2021/04/25, I prepare pancakes for breakfast..\nOn 2021/04/25, I talked to Eva, Nora, Claire, Rylee for 41 minutes during lunch hours..\nOn 2021/04/25, I spent 6 minutes reading news today..\nOn 2021/04/25, I watched a documentary for 48 minutes on TV today..\nOn 2021/04/26, I had breakfast. I ate peanut-butter-jam..\nOn 2021/04/26, I prepare a burger for lunch..\nOn 2021/04/26, I spent 14 talking to Piper, Layla, Piper, Eva on various topics in the morning..\nOn 2021/04/27, I did swimming on 2021/04/27..\nOn 2021/04/29, I did hiking on 2021/04/29..\nOn 2021/04/29, I spent 49 minutes reading news today..\nOn 2021/04/30, I had cereals for breakfast with Emily, Carter, Kayden.\nOn 2021/04/30, I watched a tv series for 21 minutes on TV today..\nOn 2021/05/01, I did biking on 2021/05/01..\nOn 2021/05/01, I talked to Rylee, Nevaeh, Eva for 22 minutes in the early afternoon..\nOn 2021/05/02, I had tacos for dinner with Olivia, Piper, Kinsley, Avery, Nora, Piper, Claire.\nOn 2021/05/02, I spent 36 minutes reading social media today..\nOn 2021/05/04, I had fish and chips for dinner with Carter, Kayden, Andrew, Emily.\nOn 2021/05/04, I spent 34 minutes watching news on TV today..\nOn 2021/05/05, I ate a burger for lunch..\nOn 2021/05/05, I talked to Nora, Kinsley, Eva, Nevaeh for 55 minutes in the early evening..\nOn 2021/05/05, I spent 45 minutes on social media today..\nOn 2021/05/06, I bought some bananas, blueberries, coffee, mouth wash from the grocery store. I saw Carter, Kayden, Andrew at the grocery store..\nOn 2021/05/06, I had lunch with Andrew, Emily. I ate sandwich..\nOn 2021/05/07, I did swimming on 2021/05/07..\nOn 2021/05/08, I spent 14 minutes reading a book today..\nOn 2021/05/09, I talked to Hazel, Rylee, Kinsley for 6 minutes in the early afternoon..\nOn 2021/05/09, I spent 22 minutes on news today..\nOn 2021/05/10, I bought some mandarins, blueberries, peaches, blackberries, sports drinks, chocolate milk, orange juice, toothbrush, paper towel, shaving cream online..\nOn 2021/05/10, I had lunch with Carter. I ate tacos..\nOn 2021/05/10, I spent 38 talking to Layla on various topics in the early evening..\nOn 2021/05/11, I watched news for 30 minutes on TV today..\nOn 2021/05/12, I did running on 2021/05/12..\nOn 2021/05/12, I had lunch. I ate sushi..\nOn 2021/05/13, I had dinner. I ate steak..\nOn 2021/05/13, I talked to Nevaeh, Hazel, Olivia for 34 minutes in the early afternoon..\nOn 2021/05/13, I spent 35 minutes reading social media today..\nOn 2021/05/14, I had dinner. I ate pasta..\nOn 2021/05/14, I spent 9 minutes on social media today..\nOn 2021/05/15, I went on a date with Hannah on 2021/05/15 at a coffee Shop.\nOn 2021/05/15, I had breakfast. I ate eggs, sausages, and bread..\nOn 2021/05/15, I ate steak for lunch..\nOn 2021/05/17, I went on a date with Everly on 2021/05/17 at a restaurant.\nOn 2021/05/18, I prepare steak for dinner..\nOn 2021/05/18, I spent 42 talking to Rylee, Nevaeh, Kinsley on various topics in the late afternoon..\nOn 2021/05/19, I did HIIT on 2021/05/19..\nOn 2021/05/19, I had breakfast. I ate pancakes..\nOn 2021/05/20, I did HIIT on 2021/05/20..\nOn 2021/05/20, I spent 35 minutes reading social media today..\nOn 2021/05/21, I spent 29 minutes watching news on TV today..\nOn 2021/05/24, I did swimming on 2021/05/24..\nOn 2021/05/24, I prepare sandwich for lunch..\nOn 2021/05/24, I talked to Nora, Claire, Piper for 39 minutes in the late afternoon..\nOn 2021/05/24, I watched news for 11 minutes on TV today..\nOn 2021/05/25, I did weight lifting on 2021/05/25..\nOn 2021/05/25, I had a burger for lunch with Andrew, Kayden, Emily, Carter.\nOn 2021/05/25, I spent 20 talking to Rylee on various topics in the late afternoon..\nOn 2021/05/25, I watched a tv series for 36 minutes on TV today..\nOn 2021/05/26, I prepare a burger for dinner..\nOn 2021/05/27, I talked to Piper, Layla, Olivia for 52 minutes in the early afternoon..\nOn 2021/05/29, I spent 49 talking to Rylee, Eva on various topics in the early evening..\nOn 2021/05/30, I spent 19 minutes reading news today..\nOn 2021/06/02, I had lunch with Andrew, Kayden, Emily. I ate tacos..\nOn 2021/06/02, I spent 12 minutes on a book today..\nOn 2021/06/03, On 2021/06/03, I took Naomi on a date to a park.\nOn 2021/06/03, I did running on 2021/06/03..\nOn 2021/06/04, I did HIIT on 2021/06/04..\nOn 2021/06/04, I watched a documentary for 7 minutes on TV today..\nOn 2021/06/06, I did swimming on 2021/06/06..\nOn 2021/06/07, I prepare toast and cheese for breakfast..\nOn 2021/06/07, I had lunch with Andrew, Emily. I ate sushi..\nOn 2021/06/07, I talked to Lydia, Hazel, Nora for 23 minutes in the early evening..\nOn 2021/06/09, I ate tacos for lunch..\nOn 2021/06/10, I had pancakes for breakfast with Willow.\nOn 2021/06/10, I prepare chinese food for dinner..\nOn 2021/06/12, I talked to Lydia, Nevaeh, Rylee, Hazel for 17 minutes late in the evening..\nOn 2021/06/13, I did hiking on 2021/06/13..\nOn 2021/06/13, I talked to Piper for 46 minutes during lunch hours..\nOn 2021/06/14, I spent 51 talking to Rylee, Lydia on various topics during lunch hours..\nOn 2021/06/15, I ate sushi for lunch..\nOn 2021/06/15, I spent 15 minutes watching news on TV today..\nOn 2021/06/16, I had tacos for lunch with Willow, Benjamin.\nOn 2021/06/17, On 2021/06/17, I took Isaac on a date to a restaurant.\nOn 2021/06/17, I did weight lifting on 2021/06/17..\nOn 2021/06/17, I spent 37 talking to Layla, Hazel, Claire on various topics in the early evening..\nOn 2021/06/17, I spent 54 minutes on news today..\nOn 2021/06/18, I had lunch. I ate fish and chips..\nOn 2021/06/20, I had lunch. I ate chinese food..\nOn 2021/06/21, On 2021/06/21, I took Sophia on a date to a boba shop.\nOn 2021/06/21, I did HIIT on 2021/06/21..\nOn 2021/06/21, I watched a tv series for 23 minutes on TV today..\nOn 2021/06/23, I had breakfast with Andrew, Emily. I ate oatmeal..\nOn 2021/06/23, I spent 30 minutes on social media today..\nOn 2021/06/24, I spent 36 minutes on a book today..\nOn 2021/06/25, I went on a date with Leah on 2021/06/25 at a park.\nOn 2021/06/25, I did swimming on 2021/06/25..\nOn 2021/06/25, I had cereals for breakfast with Willow, Avery.\nOn 2021/06/25, I had lunch. I ate tacos..\nOn 2021/06/25, I spent 51 minutes on a book today..\nOn 2021/06/26, I spent 55 minutes watching a documentary on TV today..\nOn 2021/06/27, I spent 11 talking to Eva, Claire, Piper on various topics during lunch hours..\nOn 2021/06/28, I talked to Layla, Claire for 51 minutes in the morning..\nOn 2021/06/28, I watched a movie for 29 minutes on TV today..\nOn 2021/06/30, I spent some time learning a language on 2021/06/30..\nOn 2021/06/30, I did running on 2021/06/30..\nOn 2021/06/30, I spent 15 talking to Kinsley on various topics in the early afternoon..\nOn 2021/06/30, I spent 38 minutes on a book today..\nOn 2021/07/01, I bought some clementines, guava, raspberries, nectarines, orange juice, coffee, soda, conditioner, shampoo, shaving cream from the grocery store. I saw Jackson at the grocery store..\nOn 2021/07/01, I ate eggs, sausages, and bread for breakfast..\nOn 2021/07/01, I spent 11 talking to Olivia, Layla on various topics in the late afternoon..\nOn 2021/07/02, I prepare oatmeal for breakfast..\nOn 2021/07/02, I had a burger for dinner with Andrew.\nOn 2021/07/03, I did weight lifting on 2021/07/03..\nOn 2021/07/03, I had lunch with Andrew, Carter, Kayden, Emily. I ate steak..\nOn 2021/07/03, I ate tacos for dinner..\nOn 2021/07/03, I talked to Nora, Olivia, Rylee, Avery for 26 minutes late in the evening..\nOn 2021/07/04, I had lunch with Emily, Carter, Andrew. I ate tacos..\nOn 2021/07/05, I did HIIT on 2021/07/05..\nOn 2021/07/05, I talked to Avery, Nevaeh for 17 minutes late in the evening..\nOn 2021/07/05, I spent 37 minutes on news today..\nOn 2021/07/06, I had lunch with Carter. I ate indian food..\nOn 2021/07/06, I spent 36 minutes watching news on TV today..\nOn 2021/07/07, I did HIIT on 2021/07/07..\nOn 2021/07/07, I had chinese food for dinner with Piper.\nOn 2021/07/07, I spent 24 talking to Hazel, Layla on various topics in the late afternoon..\nOn 2021/07/09, I spent 20 minutes reading a book today..\nOn 2021/07/10, I had lunch with Kayden, Emily, Andrew, Carter. I ate tacos..\nOn 2021/07/10, I talked to Piper, Rylee, Olivia for 30 minutes during lunch hours..\nOn 2021/07/10, I spent 28 minutes reading social media today..\nOn 2021/07/11, I had lunch with Emily, Carter, Kayden. I ate steak..\nOn 2021/07/12, I bought some raspberries, blueberries, mineral water, apple juice, tea, chocolate milk, mouth wash, toothpaste online..\nOn 2021/07/12, I did running on 2021/07/12..\nOn 2021/07/12, I spent 24 talking to Eva, Hazel, Rylee, Nevaeh on various topics in the morning..\nOn 2021/07/13, I spent 17 minutes on a book today..\nOn 2021/07/14, I talked to Hazel, Avery for 10 minutes late in the evening..\nOn 2021/07/16, I spent 14 talking to Rylee, Nevaeh, Olivia, Layla on various topics in the late afternoon..\nOn 2021/07/17, I did hiking on 2021/07/17..\nOn 2021/07/17, I prepare chinese food for dinner..\nOn 2021/07/17, I spent 48 minutes watching news on TV today..\nOn 2021/07/18, On 2021/07/18, I took Lily on a date to a boba shop.\nOn 2021/07/18, I prepare sushi for dinner..\nOn 2021/07/19, I talked to Piper, Olivia, Kinsley for 52 minutes in the morning..\nOn 2021/07/20, I prepare sandwich for lunch..\nOn 2021/07/20, I spent 49 minutes watching a tv series on TV today..\nOn 2021/07/21, I did hiking on 2021/07/21..\nOn 2021/07/21, I had sandwich for lunch with Emily, Andrew, Carter.\nOn 2021/07/22, I ate sushi for lunch..\nOn 2021/07/23, I had dinner. I ate tacos..\nOn 2021/07/24, I prepare pasta for lunch..\nOn 2021/07/24, I prepare pasta for dinner..\nOn 2021/07/25, I had breakfast. I ate eggs, sausages, and bread..\nOn 2021/07/25, I spent 43 minutes watching a tv series on TV today..\nOn 2021/07/26, I did hiking on 2021/07/26..\nOn 2021/07/26, I prepare steak for lunch..\nOn 2021/07/26, I had tacos for dinner with Emily, Carter, Andrew, Kayden.\nOn 2021/07/27, I had steak for lunch with Willow, Jackson, Benjamin, Avery.\nOn 2021/07/27, I spent 43 talking to Rylee, Piper, Piper, Avery on various topics in the early evening..\nOn 2021/07/27, I spent 26 minutes watching a tv series on TV today..\nOn 2021/07/28, I prepare sushi for dinner..\nOn 2021/07/29, I went on a date with Wyatt on 2021/07/29 at a restaurant.\nOn 2021/07/29, I spent 10 talking to Avery, Hazel, Nora, Olivia on various topics in the morning..\nOn 2021/07/31, I had lunch with Andrew, Emily. I ate chinese food..\nOn 2021/07/31, I had dinner. I ate fish and chips..\nOn 2021/07/31, I spent 12 talking to Layla, Piper, Lydia on various topics in the late afternoon..\nOn 2021/07/31, I spent 26 minutes reading a book today..\nOn 2021/08/01, I had breakfast with Carter, Kayden, Emily. I ate cereals..\nOn 2021/08/01, I talked to Claire for 41 minutes in the early afternoon..\nOn 2021/08/02, I had breakfast with Carter, Kayden, Andrew. I ate oatmeal..\nOn 2021/08/02, I had dinner with Nevaeh, Lydia, Eva, Hazel, Piper, Rylee. I ate chinese food..\nOn 2021/08/02, I spent 52 minutes watching a documentary on TV today..\nOn 2021/08/03, I prepare fish and chips for lunch..\nOn 2021/08/03, I spent 49 talking to Claire on various topics in the early afternoon..\nOn 2021/08/04, I went grocery shopping. I bought some blackberries, peaches, mandarins, mango juice, pineapple juice, and mouth wash, toothpaste.\nOn 2021/08/05, I did hiking on 2021/08/05..\nOn 2021/08/07, I bought some raspberries, pineapples, mineral water, milk, toothpaste from the grocery store. I saw Emily, Carter, Andrew at the grocery store..\nOn 2021/08/07, I did HIIT on 2021/08/07..\nOn 2021/08/07, I prepare oatmeal for breakfast..\nOn 2021/08/07, I had steak for dinner with Emily.\nOn 2021/08/07, I spent 36 minutes reading news today..\nOn 2021/08/08, I went on a date with Riley on 2021/08/08 at a restaurant.\nOn 2021/08/08, I did swimming on 2021/08/08..\nOn 2021/08/08, I had indian food for lunch with Kayden, Andrew.\nOn 2021/08/08, I watched news for 22 minutes on TV today..\nOn 2021/08/11, I did biking on 2021/08/11..\nOn 2021/08/11, I had breakfast with Andrew, Carter, Emily, Kayden. I ate oatmeal..\nOn 2021/08/12, I prepare toast and cheese for breakfast..\nOn 2021/08/12, I spent 8 minutes on social media today..\nOn 2021/08/13, I did running on 2021/08/13..\nOn 2021/08/13, I had cereals for breakfast with Kayden, Andrew, Carter, Emily.\nOn 2021/08/13, I spent 30 minutes on social media today..\nOn 2021/08/15, I did hiking on 2021/08/15..\nOn 2021/08/15, I ate indian food for dinner..\nOn 2021/08/15, I spent 50 minutes watching a documentary on TV today..\nOn 2021/08/16, I ate indian food for dinner..\nOn 2021/08/16, I spent 45 minutes reading news today..\nOn 2021/08/18, I spent 52 minutes reading a book today..\nOn 2021/08/18, I spent 51 minutes watching a tv series on TV today..\nOn 2021/08/20, I spent 12 minutes reading news today..\nOn 2021/08/21, I went for an annual vision checkup on 2021/08/21 at the hospital..\nOn 2021/08/21, I talked to Piper, Lydia, Olivia, Rylee for 31 minutes during lunch hours..\nOn 2021/08/22, I did weight lifting on 2021/08/22..\nOn 2021/08/22, I spent 14 minutes watching a tv series on TV today..\nOn 2021/08/23, I spent 51 minutes watching a tv series on TV today..\nOn 2021/08/24, I spent time yoga on 2021/08/24 with Carter, Andrew, Kayden..\nOn 2021/08/25, I watched a movie for 29 minutes on TV today..\nOn 2021/08/26, I prepare indian food for dinner..\nOn 2021/08/26, I watched a tv series for 8 minutes on TV today..\nOn 2021/08/27, I talked to Piper, Lydia for 47 minutes late in the evening..\nOn 2021/08/28, I had oatmeal for breakfast with Emily.\nOn 2021/08/28, I had lunch. I ate indian food..\nOn 2021/08/29, I had indian food for dinner with Emily, Carter, Kayden.\nOn 2021/08/29, I talked to Eva, Rylee for 21 minutes in the early afternoon..\nOn 2021/08/30, I had lunch. I ate tacos..\nOn 2021/08/31, I went on a date with Roman on 2021/08/31 at a boba shop.\nOn 2021/08/31, I had lunch. I ate tacos..\nOn 2021/09/01, I did running on 2021/09/01..\nOn 2021/09/01, I prepare sandwich for lunch..\nOn 2021/09/02, I bought some mandarins, tea, coffee, orange juice, guava juice, mouthwash, toothpaste, conditioner online..\nOn 2021/09/02, I spent 19 minutes watching a movie on TV today..\nOn 2021/09/03, I spent 27 talking to Piper, Lydia on various topics in the early afternoon..\nOn 2021/09/03, I spent 7 minutes watching a documentary on TV today..\nOn 2021/09/04, I spent some time meditation on 2021/09/04..\nOn 2021/09/04, I did biking on 2021/09/04..\nOn 2021/09/04, I had sandwich for lunch with Carter, Emily, Andrew, Kayden.\nOn 2021/09/04, I spent 35 talking to Kinsley, Hazel, Piper on various topics in the late afternoon..\nOn 2021/09/06, I went grocery shopping. I bought some raspberries, pineapple juice, tea, and mouth wash, shaving cream, shampoo, toothpaste.\nOn 2021/09/06, I did biking on 2021/09/06..\nOn 2021/09/06, I spent 39 talking to Nora on various topics in the early evening..\nOn 2021/09/06, I watched a tv series for 43 minutes on TV today..\nOn 2021/09/07, I ate peanut-butter-jam for breakfast..\nOn 2021/09/07, I spent 43 minutes on a book today..\nOn 2021/09/09, I had breakfast with Kayden. I ate pancakes..\nOn 2021/09/09, I spent 12 minutes reading news today..\nOn 2021/09/10, I had breakfast with Willow. I ate peanut-butter-jam..\nOn 2021/09/11, I went for an annual physical checkup on 2021/09/11 at the private clinic..\nOn 2021/09/11, I prepare indian food for dinner..\nOn 2021/09/11, I watched a tv series for 42 minutes on TV today..\nOn 2021/09/12, On 2021/09/12, I took Victoria on a date to a park.\nOn 2021/09/12, I did hiking on 2021/09/12..\nOn 2021/09/12, I prepare eggs, sausages, and bread for breakfast..\nOn 2021/09/12, I had dinner. I ate chinese food..\nOn 2021/09/12, I spent 44 talking to Nevaeh, Rylee on various topics late in the evening..\nOn 2021/09/13, I ate a burger for lunch..\nOn 2021/09/13, I spent 39 minutes reading a book today..\nOn 2021/09/14, I had breakfast. I ate peanut-butter-jam..\nOn 2021/09/14, I spent 10 talking to Piper, Rylee, Kinsley on various topics in the early afternoon..\nOn 2021/09/16, I did swimming on 2021/09/16..\nOn 2021/09/16, I had breakfast with Lydia, Piper, Eva, Olivia, Hazel, Piper, Nevaeh. I ate pancakes..\nOn 2021/09/16, I spent 31 minutes watching a movie on TV today..\nOn 2021/09/17, On 2021/09/17, I took Dominic on a date to a boba shop.\nOn 2021/09/17, I spent 26 minutes on social media today..\nOn 2021/09/18, I had lunch with Benjamin, Jackson, Avery. I ate steak..\nOn 2021/09/18, I watched a documentary for 34 minutes on TV today..\nOn 2021/09/19, I bought some pears, blackberries, mangos, sports drinks, mouthwash, shampoo from the grocery store. I saw Kayden, Carter, Emily at the grocery store..\nOn 2021/09/19, I had lunch. I ate sushi..\nOn 2021/09/19, I spent 38 minutes watching news on TV today..\nOn 2021/09/20, I prepare peanut-butter-jam for breakfast..\nOn 2021/09/21, I went on a date with Skylar on 2021/09/21 at a park.\nOn 2021/09/21, I had breakfast with Carter, Emily, Kayden. I ate eggs, sausages, and bread..\nOn 2021/09/21, I had a burger for lunch with Willow, Benjamin, Jackson.\nOn 2021/09/22, I bought some blackberries, bananas, strawberries, orange juice, coffee, soda, sports drinks, shaving cream, facial wash, toilet paper, toothpaste from the grocery store. I saw Rylee, Piper, Lydia, Nora, Claire at the grocery store..\nOn 2021/09/22, I did biking on 2021/09/22..\nOn 2021/09/23, I ate oatmeal for breakfast..\nOn 2021/09/23, I had lunch. I ate chinese food..\nOn 2021/09/23, I spent 30 minutes watching news on TV today..\nOn 2021/09/24, I had steak for lunch with Avery.\nOn 2021/09/24, I had chinese food for dinner with Jackson.\nOn 2021/09/24, I spent 17 minutes watching news on TV today..\nOn 2021/09/25, I prepare sushi for lunch..\nOn 2021/09/26, I had breakfast. I ate toast and cheese..\nOn 2021/09/26, I talked to Nevaeh, Eva, Nora for 17 minutes in the early evening..\nOn 2021/09/27, I spent 25 talking to Rylee on various topics during lunch hours..\nOn 2021/09/28, I talked to Layla for 7 minutes during lunch hours..\nOn 2021/09/28, I spent 12 minutes watching a movie on TV today..\nOn 2021/09/29, I prepare a burger for dinner..\nOn 2021/09/29, I spent 36 talking to Nevaeh, Avery, Layla, Olivia on various topics during lunch hours..\nOn 2021/09/29, I spent 24 minutes on a book today..\nOn 2021/09/30, I did hiking on 2021/09/30..\nOn 2021/10/01, I prepare toast and cheese for breakfast..\nOn 2021/10/02, I prepare fish and chips for dinner..\nOn 2021/10/03, I had lunch. I ate fish and chips..\nOn 2021/10/04, I ate peanut-butter-jam for breakfast..\nOn 2021/10/04, I spent 43 minutes on social media today..\nOn 2021/10/05, I did HIIT on 2021/10/05..\nOn 2021/10/05, I ate pancakes for breakfast..\nOn 2021/10/05, I had lunch with Emily, Kayden. I ate sushi..\nOn 2021/10/05, I ate sushi for dinner..\nOn 2021/10/06, I ate peanut-butter-jam for breakfast..\nOn 2021/10/06, I spent 29 talking to Layla, Avery on various topics during lunch hours..\nOn 2021/10/07, I went on a date with Scarlett on 2021/10/07 at a coffee Shop.\nOn 2021/10/07, I did running on 2021/10/07..\nOn 2021/10/07, I had dinner with Carter, Emily, Andrew. I ate tacos..\nOn 2021/10/07, I spent 6 minutes on social media today..\nOn 2021/10/10, I talked to Lydia for 44 minutes in the morning..\nOn 2021/10/12, I had oatmeal for breakfast with Eva, Rylee.\nOn 2021/10/12, I ate fish and chips for dinner..\nOn 2021/10/12, I spent 12 minutes on a book today..\nOn 2021/10/12, I watched a tv series for 45 minutes on TV today..\nOn 2021/10/13, I spent time learning a language on 2021/10/13 with Benjamin, Avery..\nOn 2021/10/13, I had pancakes for breakfast with Andrew.\nOn 2021/10/14, I had lunch with Kayden, Emily. I ate fish and chips..\nOn 2021/10/14, I spent 28 minutes on social media today..\nOn 2021/10/15, I bought some raspberries, orange juice, toothpaste, toothbrush, shampoo, body lotion online..\nOn 2021/10/17, I went on a date with Michael on 2021/10/17 at a restaurant.\nOn 2021/10/17, I had lunch with Emily, Kayden, Carter. I ate a burger..\nOn 2021/10/18, On 2021/10/18, I took Ezekiel on a date to a boba shop.\nOn 2021/10/18, I prepare cereals for breakfast..\nOn 2021/10/18, I had lunch. I ate fish and chips..\nOn 2021/10/18, I ate fish and chips for dinner..\nOn 2021/10/21, I had fish and chips for lunch with Kayden, Carter.\nOn 2021/10/21, I spent 51 minutes watching a tv series on TV today..\nOn 2021/10/22, my parents for their and I went for an annual physical checkup at the private clinic on 2021/10/22..\nOn 2021/10/23, I did hiking on 2021/10/23..\nOn 2021/10/23, I prepare tacos for lunch..\nOn 2021/10/23, I spent 44 talking to Nora, Eva on various topics in the early afternoon..\nOn 2021/10/24, I went on a date with Natalie on 2021/10/24 at a restaurant.\nOn 2021/10/24, I ate sushi for lunch..\nOn 2021/10/24, I had dinner. I ate sandwich..\nOn 2021/10/24, I spent 10 talking to Hazel, Kinsley, Lydia on various topics late in the evening..\nOn 2021/10/24, I watched news for 5 minutes on TV today..\nOn 2021/10/25, I went grocery shopping. I bought some mandarins, blackberries, pineapple juice, apple juice, chocolate milk, soda, and shaving cream.\nOn 2021/10/25, I spent 20 minutes on a book today..\nOn 2021/10/26, I prepare peanut-butter-jam for breakfast..\nOn 2021/10/26, I had lunch. I ate sandwich..\nOn 2021/10/27, I took my parents for their for an annual dental cleaning and checkup on 2021/10/27 at the private clinic..\nOn 2021/10/27, I did weight lifting on 2021/10/27..\nOn 2021/10/27, I ate pancakes for breakfast..\nOn 2021/10/28, I took Kayden for his/her  for an annual dental cleaning and checkup on 2021/10/28 at the hospital..\nOn 2021/10/28, I had peanut-butter-jam for breakfast with Carter, Emily.\nOn 2021/10/28, I had chinese food for dinner with Andrew, Emily.\nOn 2021/10/28, I spent 27 talking to Piper, Claire on various topics in the morning..\nOn 2021/10/29, I spent 39 minutes watching news on TV today..\nOn 2021/10/30, I bought some clementines, peaches, nectarines, mango juice, chocolate milk, shampoo, toothpaste, mouth wash, conditioner from the grocery store. I saw Kayden, Carter, Emily at the grocery store..\nOn 2021/10/30, I ate indian food for dinner..\nOn 2021/10/30, I talked to Nevaeh, Rylee, Piper, Layla for 33 minutes in the late afternoon..\nOn 2021/10/30, I spent 19 minutes reading a book today..\nOn 2021/10/31, I had dinner. I ate chinese food..\nOn 2021/10/31, I spent 50 minutes on news today..\nOn 2021/10/31, I watched a movie for 39 minutes on TV today..\nOn 2021/11/02, I bought some pineapples, bananas, milk, mango juice, orange juice, apple juice, facial wash online..\nOn 2021/11/02, I talked to Olivia, Claire, Nora, Layla for 30 minutes in the morning..\nOn 2021/11/02, I watched a tv series for 15 minutes on TV today..\nOn 2021/11/03, I prepare pasta for dinner..\nOn 2021/11/04, On 2021/11/04, I took Wang-Chiew on a date to a park.\nOn 2021/11/04, I had oatmeal for breakfast with Andrew, Emily.\nOn 2021/11/04, I spent 47 talking to Claire on various topics in the early evening..\nOn 2021/11/04, I watched a tv series for 18 minutes on TV today..\nOn 2021/11/05, I had peanut-butter-jam for breakfast with Jackson, Benjamin, Avery.\nOn 2021/11/05, I watched news for 17 minutes on TV today..\nOn 2021/11/06, I prepare peanut-butter-jam for breakfast..\nOn 2021/11/07, I did weight lifting on 2021/11/07..\nOn 2021/11/07, I prepare a burger for lunch..\nOn 2021/11/07, I prepare sushi for dinner..\nOn 2021/11/07, I spent 20 talking to Piper, Eva, Layla on various topics in the early afternoon..\nOn 2021/11/07, I spent 28 minutes on news today..\nOn 2021/11/08, I talked to Nevaeh, Piper for 32 minutes in the late afternoon..\nOn 2021/11/09, I went grocery shopping. I bought some mandarins, raspberries, mangos, clementines, sports drinks, milk, soda, and conditioner, mouth wash, toothbrush, toothpaste.\nOn 2021/11/09, I had breakfast. I ate peanut-butter-jam..\nOn 2021/11/10, I did HIIT on 2021/11/10..\nOn 2021/11/10, I had lunch with Kayden, Carter, Emily, Andrew. I ate tacos..\nOn 2021/11/11, I had dinner with Andrew, Emily, Carter. I ate sushi..\nOn 2021/11/12, I did HIIT on 2021/11/12..\nOn 2021/11/12, I spent 39 talking to Nevaeh, Piper, Olivia, Nora on various topics late in the evening..\nOn 2021/11/13, I went grocery shopping. I bought some raspberries, apples, watermelons, peaches, apple juice, chocolate milk, tea, orange juice, and toothbrush, shampoo, mouthwash, conditioner.\nOn 2021/11/13, I had dinner. I ate chinese food..\nOn 2021/11/14, I was cooking cube steak and gravy, poke on 2021/11/14 with Kayden at my place.\nOn 2021/11/14, I had lunch. I ate fish and chips..\nOn 2021/11/14, I had dinner. I ate indian food..\nOn 2021/11/15, I spent 45 talking to Nora, Piper on various topics during lunch hours..\nOn 2021/11/16, I watched news for 11 minutes on TV today..\nOn 2021/11/17, I went on a date with Adrian on 2021/11/17 at a coffee Shop.\nOn 2021/11/17, I did biking on 2021/11/17..\nOn 2021/11/17, I ate pancakes for breakfast..\nOn 2021/11/17, I spent 43 minutes watching news on TV today..\nOn 2021/11/18, I ate sandwich for lunch..\nOn 2021/11/18, I ate sushi for dinner..\nOn 2021/11/18, I spent 52 minutes on social media today..\nOn 2021/11/18, I watched news for 51 minutes on TV today..\nOn 2021/11/19, I did hiking on 2021/11/19..\nOn 2021/11/20, I watched a documentary for 52 minutes on TV today..\nOn 2021/11/21, I spent 11 talking to Avery on various topics in the early evening..\nOn 2021/11/23, I bought some apples, peaches, bananas, mangos, apple juice, orange juice, sports drinks, toothpaste, body lotion, mouth wash, shampoo online..\nOn 2021/11/24, I watched a tv series for 18 minutes on TV today..\nOn 2021/11/25, I went on a date with Kinsley on 2021/11/25 at a coffee Shop.\nOn 2021/11/25, I spent 55 talking to Piper on various topics in the late afternoon..\nOn 2021/11/26, I ate sandwich for lunch..\nOn 2021/11/26, I watched a movie for 19 minutes on TV today..\nOn 2021/11/27, I prepare toast and cheese for breakfast..\nOn 2021/11/27, I had lunch with Benjamin. I ate sushi..\nOn 2021/11/29, I ate fish and chips for lunch..\nOn 2021/11/29, I ate sandwich for dinner..\nOn 2021/11/29, I spent 9 minutes reading a book today..\nOn 2021/12/02, I had a burger for lunch with Carter, Kayden, Emily, Andrew.\nOn 2021/12/02, I had dinner with Avery, Benjamin, Jackson, Willow. I ate a burger..\nOn 2021/12/02, I spent 49 talking to Claire, Kinsley, Nevaeh, Piper on various topics in the early afternoon..\nOn 2021/12/03, I prepare sushi for lunch..\nOn 2021/12/03, I talked to Piper for 21 minutes in the early afternoon..\nOn 2021/12/03, I spent 37 minutes on news today..\nOn 2021/12/05, I ate pasta for lunch..\nOn 2021/12/05, I had dinner with Jackson, Willow, Benjamin. I ate chinese food..\nOn 2021/12/05, I watched a movie for 16 minutes on TV today..\nOn 2021/12/06, I went grocery shopping. I bought some apples, chocolate milk, guava juice, pineapple juice, and facial wash, mouthwash, conditioner.\nOn 2021/12/06, I ate tacos for lunch..\nOn 2021/12/06, I spent 33 minutes watching a movie on TV today..\nOn 2021/12/07, I had breakfast with Lydia, Olivia, Layla, Hazel, Claire, Piper, Piper, Kinsley, Eva, Avery, Rylee, Nora, Nevaeh. I ate cereals..\nOn 2021/12/08, I did weight lifting on 2021/12/08..\nOn 2021/12/09, I did running on 2021/12/09..\nOn 2021/12/09, I watched a documentary for 55 minutes on TV today..\nOn 2021/12/12, I entertained Avery, Olivia, Kinsley at my place on 2021/12/12 and bake carrot cake, chocolate skillet cake, cranberry apple danish.\nOn 2021/12/12, I ate chinese food for dinner..\nOn 2021/12/12, I spent 39 minutes reading news today..\nOn 2021/12/13, I went on a date with Natalie on 2021/12/13 at a boba shop.\nOn 2021/12/13, I talked to Rylee for 25 minutes in the late afternoon..\nOn 2021/12/14, I really enjoyed meditation on 2021/12/14.\nOn 2021/12/14, I did HIIT on 2021/12/14..\nOn 2021/12/14, I spent 11 minutes on news today..\nOn 2021/12/15, I went grocery shopping with Andrew. I bought some apricots, nectarines, mineral water, chocolate milk, apple juice, soda, and mouth wash, shampoo, toilet paper, body lotion.\nOn 2021/12/15, I had breakfast. I ate oatmeal..\nOn 2021/12/15, I watched news for 21 minutes on TV today..\nOn 2021/12/16, I ate eggs, sausages, and bread for breakfast..\nOn 2021/12/17, I did HIIT on 2021/12/17..\nOn 2021/12/17, I had breakfast. I ate toast and cheese..\nOn 2021/12/17, I spent 21 minutes watching a movie on TV today..\nOn 2021/12/18, I spent 39 talking to Piper, Olivia on various topics in the early afternoon..\nOn 2021/12/18, I watched a documentary for 23 minutes on TV today..\nOn 2021/12/19, I bought some watermelons, pineapples, blackberries, mandarins, mango juice, coffee, guava juice, conditioner, paper towel, toothbrush from the grocery store. I saw Carter, Emily, Kayden, Andrew at the grocery store..\nOn 2021/12/20, I spent 51 minutes on a book today..\nOn 2021/12/21, I ate indian food for dinner..\nOn 2021/12/22, I had toast and cheese for breakfast with Andrew, Emily, Carter.\nOn 2021/12/22, I had lunch. I ate sandwich..\nOn 2021/12/22, I talked to Nevaeh, Claire, Hazel for 6 minutes in the early afternoon..\nOn 2021/12/22, I watched a documentary for 41 minutes on TV today..\nOn 2021/12/23, I had breakfast. I ate peanut-butter-jam..\nOn 2021/12/24, I went grocery shopping. I bought some mangos, apples, peaches, apple juice, pineapple juice, and toilet paper, body lotion, mouth wash.\nOn 2021/12/24, I had dinner. I ate steak..\nOn 2021/12/25, I spent 45 talking to Piper, Avery, Claire, Rylee on various topics during lunch hours..\nOn 2021/12/27, I went grocery shopping. I bought some pineapples, apple juice, coffee, and mouth wash.\nOn 2021/12/27, I talked to Hazel, Rylee, Claire for 14 minutes late in the evening..\nOn 2021/12/27, I spent 37 minutes watching a tv series on TV today..\nOn 2021/12/28, I had breakfast with Andrew, Emily. I ate cereals..\nOn 2021/12/28, I talked to Claire, Piper for 18 minutes in the early evening..\nOn 2021/12/29, I had breakfast. I ate oatmeal..\nOn 2021/12/29, I had dinner with Kinsley, Rylee, Piper, Avery, Lydia, Nevaeh, Piper, Hazel, Olivia, Layla. I ate steak..\nOn 2022/01/03, I spent 6 minutes on a book today..\nOn 2022/01/04, I had dinner with Emily, Carter. I ate steak..\nOn 2022/01/05, I ate toast and cheese for breakfast..\nOn 2022/01/05, I had fish and chips for lunch with Benjamin, Avery.\nOn 2022/01/06, I ate cereals for breakfast..\nOn 2022/01/07, I did weight lifting on 2022/01/07..\nOn 2022/01/07, I had sushi for dinner with Olivia.\nOn 2022/01/07, I watched a movie for 37 minutes on TV today..\nOn 2022/01/08, I ate fish and chips for lunch..\nOn 2022/01/08, I spent 24 minutes on news today..\nOn 2022/01/09, I did running on 2022/01/09..\nOn 2022/01/09, I spent 25 minutes watching a movie on TV today..\nOn 2022/01/10, I prepare pancakes for breakfast..\nOn 2022/01/10, I had a burger for lunch with Avery, Nevaeh, Eva, Rylee, Kinsley, Nora, Olivia, Piper, Lydia, Piper.\nOn 2022/01/10, I prepare sandwich for dinner..\nOn 2022/01/11, I spent 28 talking to Kinsley, Olivia, Nora, Nevaeh on various topics late in the evening..\nOn 2022/01/12, I had dinner with Hazel, Layla, Avery. I ate sandwich..\nOn 2022/01/12, I spent 32 talking to Eva, Layla on various topics in the early evening..\nOn 2022/01/13, I spent 47 minutes reading news today..\nOn 2022/01/15, I went grocery shopping with Emily, Carter, Andrew, Kayden. I bought some apricots, mango juice, milk, and shaving cream, mouth wash.\nOn 2022/01/16, I did biking on 2022/01/16..\nOn 2022/01/16, I prepare peanut-butter-jam for breakfast..\nOn 2022/01/17, I spent 11 talking to Claire on various topics in the morning..\nOn 2022/01/18, I prepare eggs, sausages, and bread for breakfast..\nOn 2022/01/18, I ate a burger for dinner..\nOn 2022/01/18, I spent 37 minutes on social media today..\nOn 2022/01/19, I talked to Nevaeh, Eva, Lydia for 47 minutes in the late afternoon..\nOn 2022/01/19, I spent 55 minutes watching news on TV today..\nOn 2022/01/20, I went grocery shopping with Carter, Andrew, Kayden, Emily. I bought some blueberries, guava juice, coffee, and paper towel, conditioner.\nOn 2022/01/20, I did weight lifting on 2022/01/20..\nOn 2022/01/20, I had breakfast with Emily. I ate cereals..\nOn 2022/01/20, I watched a movie for 17 minutes on TV today..\nOn 2022/01/21, I had lunch with Carter, Emily, Andrew, Kayden. I ate steak..\nOn 2022/01/22, I had dinner with Kayden, Andrew. I ate fish and chips..\nOn 2022/01/22, I talked to Claire for 37 minutes during lunch hours..\nOn 2022/01/23, I bought some blackberries, mineral water, body lotion, shaving cream, toilet paper online..\nOn 2022/01/23, I did running on 2022/01/23..\nOn 2022/01/24, I talked to Hazel, Olivia, Nevaeh, Claire for 5 minutes late in the evening..\nOn 2022/01/25, I went grocery shopping with Willow, Jackson. I bought some peaches, apricots, raspberries, watermelons, soda, orange juice, pineapple juice, mineral water, and toothbrush, shampoo, mouthwash, mouth wash.\nOn 2022/01/27, I spent 13 minutes reading a book today..\nOn 2022/01/28, I went on a date with Anna on 2022/01/28 at a park.\nOn 2022/01/28, I spent 27 talking to Piper, Rylee, Hazel on various topics in the early afternoon..\nOn 2022/01/28, I spent 14 minutes watching a movie on TV today..\nOn 2022/01/29, I did swimming on 2022/01/29..\nOn 2022/01/29, I had lunch. I ate indian food..\nOn 2022/01/30, I spent 20 talking to Piper, Eva, Nora on various topics in the early afternoon..\nOn 2022/01/31, I really enjoyed learning a language on 2022/01/31.\nOn 2022/01/31, I ate pancakes for breakfast..\nOn 2022/01/31, I talked to Hazel for 14 minutes in the morning..\nOn 2022/02/01, I did hiking on 2022/02/01..\nOn 2022/02/01, I spent 27 minutes reading a book today..\nOn 2022/02/01, I watched a movie for 40 minutes on TV today..\nOn 2022/02/02, I did swimming on 2022/02/02..\nOn 2022/02/02, I spent 7 minutes reading a book today..\nOn 2022/02/03, I had breakfast with Nora. I ate cereals..\nOn 2022/02/03, I had lunch with Willow. I ate chinese food..\nOn 2022/02/03, I spent 54 minutes watching a tv series on TV today..\nOn 2022/02/06, I prepare a burger for lunch..\nOn 2022/02/09, I had breakfast. I ate oatmeal..\nOn 2022/02/09, I talked to Layla, Rylee, Avery, Eva for 18 minutes in the late afternoon..\nOn 2022/02/10, I talked to Nora, Kinsley, Claire for 31 minutes in the morning..\nOn 2022/02/11, I talked to Kinsley, Olivia, Hazel, Nora for 18 minutes late in the evening..\nOn 2022/02/12, I spent 54 talking to Claire, Avery, Nora, Piper on various topics during lunch hours..\nOn 2022/02/13, I had breakfast with Andrew, Carter. I ate eggs, sausages, and bread..\nOn 2022/02/13, I spent 32 minutes watching news on TV today..\nOn 2022/02/14, I prepare tacos for dinner..\nOn 2022/02/15, I did hiking on 2022/02/15..\nOn 2022/02/15, I had pasta for lunch with Avery.\nOn 2022/02/16, I did hiking on 2022/02/16..\nOn 2022/02/16, I talked to Hazel, Eva for 24 minutes late in the evening..\nOn 2022/02/17, On 2022/02/17, I took Paisley on a date to a restaurant.\nOn 2022/02/17, I had breakfast with Avery, Benjamin, Willow, Jackson. I ate cereals..\nOn 2022/02/18, I bought some watermelons, strawberries, milk, sports drinks, toothbrush, body lotion, mouthwash, conditioner online..\nOn 2022/02/18, I prepare cereals for breakfast..\nOn 2022/02/18, I talked to Piper, Kinsley, Rylee for 6 minutes in the early evening..\nOn 2022/02/18, I spent 55 minutes on news today..\nOn 2022/02/19, I prepare tacos for lunch..\nOn 2022/02/20, I had breakfast. I ate pancakes..\nOn 2022/02/20, I spent 43 minutes watching a documentary on TV today..\nOn 2022/02/22, I visited Shanghai, China for 6 days with Emily, Carter starting on 2022/02/22.\nOn 2022/02/22, I went on a date with Sofia on 2022/02/22 at a boba shop.\nOn 2022/02/22, I spent 9 talking to Rylee on various topics in the late afternoon..\nOn 2022/02/22, I spent 44 minutes watching a tv series on TV today..\nOn 2022/02/23, I ate local food at Yuyuan Lu junction with Emily, Carter on  2022/02/23 when I was in Shanghai, China..\nOn 2022/02/24, I ate Chinese food at Fangbang Xi Lu with Emily, Carter on  2022/02/24 when I was in Shanghai, China..\nOn 2022/02/24, I had breakfast with Andrew, Emily. I ate eggs, sausages, and bread..\nOn 2022/02/25, I spent 19 talking to Claire, Piper on various topics in the late afternoon..\nOn 2022/02/25, I spent 16 minutes on news today..\nOn 2022/02/26, I ate local food at Fangbang Xi Lu with Emily, Carter on  2022/02/26 when I was in Shanghai, China..\nOn 2022/02/26, I went for an annual physical checkup on 2022/02/26 at the university hospital..\nOn 2022/02/27, On 2022/02/27, I took Amelia on a date to a boba shop.\nOn 2022/02/27, I had dinner with Benjamin, Willow, Avery, Jackson. I ate pasta..\nOn 2022/02/27, I spent 30 minutes reading social media today..\nOn 2022/02/28, I ate Chinese food at Yuyuan Lu junction with Emily, Carter on  2022/02/28 when I was in Shanghai, China..\nOn 2022/02/28, I took Kayden for his/her  for an annual dental cleaning and checkup on 2022/02/28 at the university hospital..\nOn 2022/02/28, I had lunch. I ate fish and chips..\nOn 2022/02/28, I watched a movie for 27 minutes on TV today..\nOn 2022/03/01, I did HIIT on 2022/03/01..\nOn 2022/03/01, I spent 26 talking to Hazel, Piper, Eva, Olivia on various topics in the early afternoon..\nOn 2022/03/02, I spent 17 minutes reading news today..\nOn 2022/03/03, I had sushi for lunch with Jackson, Willow.\nOn 2022/03/03, I spent 51 minutes watching news on TV today..\nOn 2022/03/04, I went on a date with Jeremiah on 2022/03/04 at a boba shop.\nOn 2022/03/05, I went grocery shopping. I bought some blackberries, oranges, pears, pineapple juice, milk, coffee, mineral water, and shaving cream.\nOn 2022/03/05, I talked to Kinsley, Piper, Piper for 6 minutes in the morning..\nOn 2022/03/06, I did biking on 2022/03/06..\nOn 2022/03/07, I talked to Olivia, Nora for 38 minutes in the early afternoon..\nOn 2022/03/08, I did weight lifting on 2022/03/08..\nOn 2022/03/08, I ate steak for lunch..\nOn 2022/03/09, I spent time gardening on 2022/03/09 with Kinsley..\nOn 2022/03/09, I watched news for 13 minutes on TV today..\nOn 2022/03/11, I talked to Lydia, Olivia for 19 minutes in the early evening..\nOn 2022/03/11, I spent 34 minutes reading news today..\nOn 2022/03/12, I had fish and chips for dinner with Claire, Hazel, Piper, Nevaeh.\nOn 2022/03/13, I talked to Eva, Nora for 9 minutes during lunch hours..\nOn 2022/03/14, I did running on 2022/03/14..\nOn 2022/03/14, I had breakfast with Nevaeh, Hazel, Olivia. I ate eggs, sausages, and bread..\nOn 2022/03/14, I spent 19 minutes on a book today..\nOn 2022/03/15, I prepare sandwich for lunch..\nOn 2022/03/15, I spent 17 minutes watching a tv series on TV today..\nOn 2022/03/16, I prepare cereals for breakfast..\nOn 2022/03/16, I prepare indian food for dinner..\nOn 2022/03/16, I talked to Nora, Piper, Avery for 28 minutes during lunch hours..\nOn 2022/03/16, I watched a movie for 14 minutes on TV today..\nOn 2022/03/18, I spent 43 talking to Kinsley on various topics in the late afternoon..\nOn 2022/03/19, I did swimming on 2022/03/19..\nOn 2022/03/19, I spent 5 minutes on news today..\nOn 2022/03/20, I did swimming on 2022/03/20..\nOn 2022/03/20, I prepare cereals for breakfast..\nOn 2022/03/22, I did biking on 2022/03/22..\nOn 2022/03/22, I talked to Nora for 51 minutes late in the evening..\nOn 2022/03/23, I had pasta for dinner with Kayden, Emily, Carter.\nOn 2022/03/23, I talked to Piper for 45 minutes in the morning..\nOn 2022/03/24, I spent time yoga on 2022/03/24 with Emily..\nOn 2022/03/25, I went grocery shopping. I bought some blueberries, milk, guava juice, mango juice, and mouth wash, toothbrush, mouthwash.\nOn 2022/03/25, I prepare cereals for breakfast..\nOn 2022/03/26, I spent 55 minutes on news today..\nOn 2022/03/27, I had dinner with Piper, Lydia, Layla, Olivia, Claire, Rylee. I ate sandwich..\nOn 2022/03/28, I talked to Avery, Piper for 20 minutes in the early evening..\nOn 2022/03/29, On 2022/03/29, I took Hudson on a date to a coffee Shop.\nOn 2022/03/29, I had lunch with Jackson, Willow, Benjamin, Avery. I ate indian food..\nOn 2022/03/29, I spent 46 minutes on news today..\nOn 2022/03/31, I bought some pears, apricots, mineral water, milk, body lotion, paper towel, shampoo, toothbrush from the grocery store. I saw Claire, Nora, Olivia, Hazel, Lydia, Avery, Eva, Layla, Rylee, Piper, Kinsley, Piper at the grocery store..\nOn 2022/03/31, I had breakfast. I ate peanut-butter-jam..\nOn 2022/04/02, I did swimming on 2022/04/02..\nOn 2022/04/03, I spent 23 talking to Claire, Piper, Piper on various topics late in the evening..\nOn 2022/04/04, I ate a burger for dinner..\nOn 2022/04/04, I spent 31 minutes watching a documentary on TV today..\nOn 2022/04/05, I did running on 2022/04/05..\nOn 2022/04/05, I prepare fish and chips for dinner..\nOn 2022/04/05, I spent 39 talking to Olivia, Hazel, Nora on various topics in the early evening..\nOn 2022/04/06, I had lunch with Avery, Jackson, Willow. I ate indian food..\nOn 2022/04/07, I had indian food for dinner with Olivia, Hazel, Kinsley, Eva, Layla, Nora, Claire, Piper.\nOn 2022/04/07, I talked to Nevaeh, Claire for 45 minutes late in the evening..\nOn 2022/04/08, I ate chinese food for dinner..\nOn 2022/04/08, I spent 54 talking to Piper, Nevaeh, Kinsley on various topics in the early afternoon..\nOn 2022/04/11, I went on a date with Parker on 2022/04/11 at a coffee Shop.\nOn 2022/04/11, I had oatmeal for breakfast with Benjamin, Jackson, Willow, Avery.\nOn 2022/04/11, I had fish and chips for dinner with Avery.\nOn 2022/04/11, I talked to Rylee for 28 minutes in the morning..\nOn 2022/04/11, I spent 17 minutes reading a book today..\nOn 2022/04/12, I prepare tacos for lunch..\nOn 2022/04/13, I bought some oranges, watermelons, milk, mouth wash online..\nOn 2022/04/13, I watched a movie for 10 minutes on TV today..\nOn 2022/04/14, I did weight lifting on 2022/04/14..\nOn 2022/04/14, I watched a tv series for 22 minutes on TV today..\nOn 2022/04/15, I went on a date with Grace on 2022/04/15 at a coffee Shop.\nOn 2022/04/15, I had breakfast with Emily, Carter, Andrew. I ate cereals..\nOn 2022/04/15, I had dinner with Kayden, Andrew, Carter, Emily. I ate indian food..\nOn 2022/04/15, I watched a movie for 35 minutes on TV today..\nOn 2022/04/16, I spent 26 minutes reading news today..\nOn 2022/04/16, I spent 29 minutes watching a documentary on TV today..\nOn 2022/04/17, I had breakfast. I ate peanut-butter-jam..\nOn 2022/04/17, I had pasta for lunch with Carter, Emily, Kayden, Andrew.\nOn 2022/04/17, I watched a documentary for 39 minutes on TV today..\nOn 2022/04/18, I had dinner. I ate sushi..\nOn 2022/04/19, I really enjoyed learning a language on 2022/04/19.\nOn 2022/04/19, I ate pasta for lunch..\nOn 2022/04/19, I ate chinese food for dinner..\nOn 2022/04/19, I spent 51 minutes watching news on TV today..\nOn 2022/04/20, I went on a date with Brooklyn on 2022/04/20 at a restaurant.\nOn 2022/04/21, I went grocery shopping with Piper, Kinsley, Avery, Nora, Rylee, Claire, Hazel, Eva, Piper, Layla, Nevaeh. I bought some bananas, blueberries, peaches, chocolate milk, apple juice, guava juice, and toothbrush, paper towel, body lotion.\nOn 2022/04/21, I talked to Piper, Avery, Claire, Kinsley for 10 minutes during lunch hours..\nOn 2022/04/22, I did biking on 2022/04/22..\nOn 2022/04/22, I spent 10 minutes on a book today..\nOn 2022/04/22, I spent 7 minutes watching a tv series on TV today..\nOn 2022/04/23, I spent 19 minutes reading a book today..\nOn 2022/04/24, I did HIIT on 2022/04/24..\nOn 2022/04/25, I talked to Eva, Nora for 32 minutes late in the evening..\nOn 2022/04/27, I talked to Piper, Lydia, Hazel for 19 minutes late in the evening..\nOn 2022/04/28, I spent 38 minutes on news today..\nOn 2022/04/29, I went grocery shopping. I bought some nectarines, pineapples, raspberries, milk, and conditioner, body lotion, toothbrush, facial wash.\nOn 2022/05/01, I was baking brownies on 2022/05/01 with Eva at my place.\nOn 2022/05/01, I prepare sandwich for lunch..\nOn 2022/05/02, I spent 37 talking to Hazel on various topics in the morning..\nOn 2022/05/03, I had steak for lunch with Carter.\nOn 2022/05/03, I had fish and chips for dinner with Carter, Emily, Andrew, Kayden.\nOn 2022/05/05, I had steak for dinner with Kinsley, Claire, Lydia, Hazel, Olivia.\nOn 2022/05/06, I had lunch with Kayden, Carter. I ate chinese food..\nOn 2022/05/07, I did weight lifting on 2022/05/07..\nOn 2022/05/07, I prepare pancakes for breakfast..\nOn 2022/05/07, I had dinner. I ate fish and chips..\nOn 2022/05/08, I had eggs, sausages, and bread for breakfast with Kayden, Emily.\nOn 2022/05/08, I had dinner. I ate tacos..\nOn 2022/05/08, I spent 55 minutes reading news today..\nOn 2022/05/09, I spent 38 talking to Rylee on various topics in the late afternoon..\nOn 2022/05/09, I spent 19 minutes watching a documentary on TV today..\nOn 2022/05/10, I had chinese food for lunch with Carter, Kayden, Andrew.\nOn 2022/05/10, I prepare tacos for dinner..\nOn 2022/05/10, I talked to Piper, Piper for 32 minutes during lunch hours..\nOn 2022/05/10, I spent 32 minutes on news today..\nOn 2022/05/10, I watched a movie for 22 minutes on TV today..\nOn 2022/05/11, I had lunch. I ate chinese food..\nOn 2022/05/11, I had dinner. I ate pasta..\nOn 2022/05/11, I spent 8 minutes reading a book today..\nOn 2022/05/13, I went grocery shopping. I bought some mangos, pineapple juice, and paper towel, conditioner, toilet paper.\nOn 2022/05/13, I ate pasta for dinner..\nOn 2022/05/14, I talked to Olivia, Lydia, Kinsley, Piper for 45 minutes in the early evening..\nOn 2022/05/14, I spent 35 minutes watching a tv series on TV today..\nOn 2022/05/15, I went on a date with Jade on 2022/05/15 at a coffee Shop.\nOn 2022/05/15, I spent 7 talking to Hazel, Nora on various topics in the morning..\nOn 2022/05/15, I watched news for 35 minutes on TV today..\nOn 2022/05/16, I did running on 2022/05/16..\nOn 2022/05/16, I had sandwich for lunch with Emily, Kayden.\nOn 2022/05/16, I watched a movie for 10 minutes on TV today..\nOn 2022/05/17, I did weight lifting on 2022/05/17..\nOn 2022/05/17, I had breakfast. I ate oatmeal..\nOn 2022/05/17, I talked to Hazel, Claire for 44 minutes during lunch hours..\nOn 2022/05/19, I had breakfast. I ate eggs, sausages, and bread..\nOn 2022/05/19, I spent 20 talking to Nora, Avery, Lydia, Rylee on various topics in the early afternoon..\nOn 2022/05/20, On 2022/05/20, I took Jonathan on a date to a boba shop.\nOn 2022/05/21, I ate eggs, sausages, and bread for breakfast..\nOn 2022/05/21, I talked to Piper for 20 minutes in the early evening..\nOn 2022/05/21, I spent 13 minutes watching a tv series on TV today..\nOn 2022/05/22, I bought some bananas, sports drinks, milk, toothpaste online..\nOn 2022/05/22, I prepare oatmeal for breakfast..\nOn 2022/05/23, I had pasta for dinner with Emily, Andrew, Kayden.\nOn 2022/05/25, I did weight lifting on 2022/05/25..\nOn 2022/05/25, I spent 33 talking to Nevaeh on various topics during lunch hours..\nOn 2022/05/25, I watched news for 7 minutes on TV today..\nOn 2022/05/26, I had breakfast. I ate cereals..\nOn 2022/05/28, I had a burger for dinner with Kayden, Andrew, Carter.\nOn 2022/05/29, I prepare toast and cheese for breakfast..\nOn 2022/05/29, I talked to Layla, Olivia, Nora, Piper for 13 minutes late in the evening..\nOn 2022/05/29, I spent 12 minutes reading social media today..\nOn 2022/05/30, I had lunch. I ate fish and chips..\nOn 2022/05/30, I talked to Nevaeh, Layla for 22 minutes in the early evening..\nOn 2022/05/31, I had breakfast. I ate toast and cheese..\nOn 2022/05/31, I had dinner. I ate chinese food..\nOn 2022/05/31, I talked to Eva, Rylee, Avery for 41 minutes late in the evening..\nOn 2022/06/02, I prepare toast and cheese for breakfast..\nOn 2022/06/02, I watched a movie for 10 minutes on TV today..\nOn 2022/06/03, On 2022/06/03, I took Sofia on a date to a park.\nOn 2022/06/03, I spent 22 minutes on a book today..\nOn 2022/06/04, I talked to Avery, Nora, Claire, Kinsley for 35 minutes during lunch hours..\nOn 2022/06/04, I spent 19 minutes reading news today..\nOn 2022/06/05, I had eggs, sausages, and bread for breakfast with Carter, Kayden, Emily.\nOn 2022/06/05, I had fish and chips for dinner with Eva, Piper, Nevaeh, Piper, Kinsley, Layla, Olivia, Nora, Lydia, Avery.\nOn 2022/06/05, I spent 27 minutes watching a movie on TV today..\nOn 2022/06/06, I had fish and chips for lunch with Kayden.\nOn 2022/06/06, I spent 36 minutes reading a book today..\nOn 2022/06/07, I really enjoyed yoga on 2022/06/07.\nOn 2022/06/09, I went on a date with Aaliyah on 2022/06/09 at a boba shop.\nOn 2022/06/09, I spent 39 talking to Nora, Claire, Piper on various topics during lunch hours..\nOn 2022/06/09, I spent 23 minutes watching a tv series on TV today..\nOn 2022/06/10, I ate pancakes for breakfast..\nOn 2022/06/10, I spent 9 talking to Nevaeh, Piper, Kinsley on various topics during lunch hours..\nOn 2022/06/11, I had cereals for breakfast with Piper, Nevaeh, Piper, Lydia, Layla, Olivia, Rylee, Nora, Eva, Claire.\nOn 2022/06/12, I had breakfast with Eva. I ate cereals..\nOn 2022/06/13, I had pasta for dinner with Avery, Willow.\nOn 2022/06/13, I spent 6 minutes reading social media today..\nOn 2022/06/14, I had lunch with Piper. I ate fish and chips..\nOn 2022/06/16, I did hiking on 2022/06/16..\nOn 2022/06/16, I had lunch with Emily, Andrew. I ate sandwich..\nOn 2022/06/17, I spent 42 minutes reading a book today..\nOn 2022/06/17, I watched a tv series for 23 minutes on TV today..\nOn 2022/06/18, I went on a date with Hailey on 2022/06/18 at a restaurant.\nOn 2022/06/21, I spent 48 minutes reading a book today..\nOn 2022/06/21, I spent 32 minutes watching news on TV today..\nOn 2022/06/23, I really enjoyed baking lemon meringue cookies on 2022/06/23 with Kayden, Carter at my place.\nOn 2022/06/24, I went on a date with Landon on 2022/06/24 at a boba shop.\nOn 2022/06/25, I had sandwich for lunch with Claire, Eva, Layla, Kinsley, Avery, Rylee, Piper, Piper, Hazel.\nOn 2022/06/26, I ate cereals for breakfast..\nOn 2022/06/26, I had lunch with Emily, Kayden, Andrew. I ate indian food..\nOn 2022/06/26, I ate a burger for dinner..\nOn 2022/06/27, On 2022/06/27, I took Peyton on a date to a restaurant.\nOn 2022/06/27, I did biking on 2022/06/27..\nOn 2022/06/27, I had peanut-butter-jam for breakfast with Kinsley, Nevaeh, Eva, Hazel, Olivia, Claire, Avery, Piper, Rylee, Nora, Piper, Lydia.\nOn 2022/06/28, I spent 6 talking to Hazel on various topics late in the evening..\nOn 2022/06/29, I ate toast and cheese for breakfast..\nOn 2022/06/30, I ate peanut-butter-jam for breakfast..\nOn 2022/06/30, I spent 54 minutes on news today..\nOn 2022/07/01, I went grocery shopping with Jackson, Benjamin, Avery. I bought some strawberries, apples, blueberries, pineapples, sports drinks, pineapple juice, and toothpaste, toothbrush.\nOn 2022/07/01, I had peanut-butter-jam for breakfast with Carter, Andrew, Emily, Kayden.\nOn 2022/07/01, I had pasta for dinner with Andrew.\nOn 2022/07/01, I spent 9 talking to Avery, Hazel on various topics in the early afternoon..\nOn 2022/07/02, I spent 40 minutes watching news on TV today..\nOn 2022/07/03, I watched a tv series for 10 minutes on TV today..\nOn 2022/07/04, I spent 50 minutes reading a book today..\nOn 2022/07/04, I watched a tv series for 20 minutes on TV today..\nOn 2022/07/05, I ate tacos for lunch..\nOn 2022/07/05, I spent 46 minutes reading a book today..\nOn 2022/07/05, I spent 6 minutes watching news on TV today..\nOn 2022/07/06, I had breakfast. I ate eggs, sausages, and bread..\nOn 2022/07/06, I spent 47 talking to Nora, Rylee on various topics in the early evening..\nOn 2022/07/06, I spent 27 minutes reading social media today..\nOn 2022/07/07, I did weight lifting on 2022/07/07..\nOn 2022/07/07, I spent 40 talking to Avery, Lydia, Claire, Rylee on various topics during lunch hours..\nOn 2022/07/07, I spent 17 minutes watching a movie on TV today..\nOn 2022/07/09, I went on a date with Alon on 2022/07/09 at a restaurant.\nOn 2022/07/09, I ate fish and chips for dinner..\nOn 2022/07/09, I spent 28 minutes watching news on TV today..\nOn 2022/07/10, I ate toast and cheese for breakfast..\nOn 2022/07/11, I went grocery shopping with Emily, Carter, Andrew. I bought some oranges, sports drinks, apple juice, mango juice, and toilet paper, facial wash, toothpaste.\nOn 2022/07/11, I ate eggs, sausages, and bread for breakfast..\nOn 2022/07/11, I spent 32 minutes on news today..\nOn 2022/07/11, I spent 11 minutes watching a movie on TV today..\nOn 2022/07/13, I watched news for 24 minutes on TV today..\nOn 2022/07/14, On 2022/07/14, I took Quinn on a date to a restaurant.\nOn 2022/07/14, I talked to Piper, Claire, Hazel, Eva for 5 minutes in the morning..\nOn 2022/07/16, I spent 48 minutes reading social media today..\nOn 2022/07/17, I did weight lifting on 2022/07/17..\nOn 2022/07/17, I had dinner. I ate fish and chips..\nOn 2022/07/18, I bought some watermelons, raspberries, chocolate milk, pineapple juice, tea, toothpaste, paper towel, shampoo online..\nOn 2022/07/19, I ate fish and chips for dinner..\nOn 2022/07/21, I spent 45 talking to Avery, Piper, Claire, Hazel on various topics in the late afternoon..\nOn 2022/07/22, I did weight lifting on 2022/07/22..\nOn 2022/07/23, I did hiking on 2022/07/23..\nOn 2022/07/23, I spent 6 minutes reading news today..\nOn 2022/07/24, I did weight lifting on 2022/07/24..\nOn 2022/07/24, I had lunch with Avery. I ate tacos..\nOn 2022/07/25, I went grocery shopping. I bought some nectarines, blueberries, apricots, pineapples, coffee, mango juice, tea, pineapple juice, and toothbrush.\nOn 2022/07/25, I talked to Lydia, Layla for 14 minutes in the late afternoon..\nOn 2022/07/25, I spent 17 minutes watching news on TV today..\nOn 2022/07/26, I did biking on 2022/07/26..\nOn 2022/07/26, I had dinner with Andrew, Kayden, Emily. I ate sushi..\nOn 2022/07/27, I talked to Olivia for 30 minutes in the late afternoon..\nOn 2022/07/27, I spent 48 minutes on social media today..\nOn 2022/07/28, I had dinner with Andrew, Kayden, Carter, Emily. I ate a burger..\nOn 2022/07/29, I had peanut-butter-jam for breakfast with Benjamin.\nOn 2022/07/29, I watched news for 46 minutes on TV today..\nOn 2022/07/31, I watched a documentary for 53 minutes on TV today..\nOn 2022/08/02, I ate sushi for lunch..\nOn 2022/08/03, I went on a date with Scarlett on 2022/08/03 at a boba shop.\nOn 2022/08/03, I talked to Layla for 17 minutes in the early afternoon..\nOn 2022/08/04, I had a burger for dinner with Avery, Jackson, Benjamin, Willow.\nOn 2022/08/05, I went grocery shopping with Carter, Emily. I bought some mandarins, apples, pineapple juice, apple juice, and toothpaste.\nOn 2022/08/05, I spent 18 minutes reading a book today..\nOn 2022/08/06, I went on a date with Gabriel on 2022/08/06 at a boba shop.\nOn 2022/08/06, I did weight lifting on 2022/08/06..\nOn 2022/08/06, I prepare pancakes for breakfast..\nOn 2022/08/06, I had lunch with Emily. I ate sushi..\nOn 2022/08/06, I had a burger for dinner with Andrew, Carter.\nOn 2022/08/08, I had eggs, sausages, and bread for breakfast with Andrew.\nOn 2022/08/08, I had dinner. I ate chinese food..\nOn 2022/08/08, I talked to Nora for 35 minutes in the early evening..\nOn 2022/08/08, I spent 36 minutes on social media today..\nOn 2022/08/08, I watched a tv series for 5 minutes on TV today..\nOn 2022/08/09, Emily for his/her  and I went for an annual dental cleaning and checkup at the university hospital on 2022/08/09..\nOn 2022/08/10, I had indian food for lunch with Jackson, Willow, Benjamin, Avery.\nOn 2022/08/11, I had lunch with Carter, Andrew, Emily, Kayden. I ate sushi..\nOn 2022/08/11, I spent 49 minutes on social media today..\nOn 2022/08/11, I watched a tv series for 22 minutes on TV today..\nOn 2022/08/12, I went grocery shopping with Andrew, Emily. I bought some apples, guava, raspberries, pears, orange juice, and body lotion, toilet paper.\nOn 2022/08/13, I went grocery shopping. I bought some blueberries, blackberries, oranges, sports drinks, coffee, and shampoo, shaving cream.\nOn 2022/08/13, I spent 39 talking to Layla, Claire, Rylee, Piper on various topics in the late afternoon..\nOn 2022/08/13, I spent 32 minutes on news today..\nOn 2022/08/14, I talked to Avery, Hazel for 20 minutes during lunch hours..\nOn 2022/08/15, I ate a burger for dinner..\nOn 2022/08/18, I had dinner with Layla, Eva, Olivia, Rylee, Claire, Nevaeh, Kinsley, Nora, Lydia, Hazel, Avery. I ate steak..\nOn 2022/08/19, I had breakfast. I ate eggs, sausages, and bread..\nOn 2022/08/19, I had a burger for lunch with Claire, Nevaeh, Hazel, Avery, Eva, Kinsley, Piper, Olivia, Piper.\nOn 2022/08/20, I spent 21 talking to Olivia, Avery, Nevaeh on various topics in the morning..\nOn 2022/08/21, I ate steak for dinner..\nOn 2022/08/22, I entertained Carter, Andrew, Kayden, Emily at my place on 2022/08/22 and bake cinnamon sheet cake with cider frosting.\nOn 2022/08/22, I watched a tv series for 12 minutes on TV today..\nOn 2022/08/23, I talked to Claire, Olivia, Rylee for 7 minutes late in the evening..\nOn 2022/08/25, I bought some guava, apples, mango juice, pineapple juice, guava juice, milk, facial wash, toilet paper, conditioner, toothbrush from the grocery store. I saw Jackson, Benjamin at the grocery store..\nOn 2022/08/25, I ate tacos for lunch..\nOn 2022/08/25, I spent 38 minutes reading a book today..\nOn 2022/08/26, I spent 15 talking to Lydia, Avery on various topics in the morning..\nOn 2022/08/27, I had chinese food for lunch with Rylee, Avery, Lydia, Piper, Claire, Layla, Nevaeh, Piper, Olivia, Hazel, Kinsley, Nora, Eva.\nOn 2022/08/27, I had dinner with Benjamin, Avery. I ate a burger..\nOn 2022/08/27, I talked to Lydia, Avery, Kinsley for 15 minutes late in the evening..\nOn 2022/08/28, I did running on 2022/08/28..\nOn 2022/08/28, I talked to Piper for 21 minutes in the morning..\nOn 2022/08/28, I watched news for 44 minutes on TV today..\nOn 2022/08/29, I did HIIT on 2022/08/29..\nOn 2022/08/29, I talked to Nevaeh, Piper, Rylee for 26 minutes during lunch hours..\nOn 2022/08/30, I went grocery shopping with Carter, Kayden, Andrew, Emily. I bought some nectarines, tea, pineapple juice, soda, and toothpaste, toothbrush.\nOn 2022/08/30, I had breakfast. I ate pancakes..\nOn 2022/08/30, I had dinner. I ate chinese food..\nOn 2022/08/30, I spent 27 minutes on social media today..\nOn 2022/08/31, I had breakfast with Benjamin, Avery, Jackson, Willow. I ate pancakes..\nOn 2022/09/01, I went on a date with Camila on 2022/09/01 at a restaurant.\nOn 2022/09/01, I ate peanut-butter-jam for breakfast..\nOn 2022/09/01, I had lunch with Carter, Kayden. I ate a burger..\nOn 2022/09/01, I talked to Nora for 10 minutes in the early afternoon..\nOn 2022/09/02, I spent time learning a language on 2022/09/02 with Lydia..\nOn 2022/09/02, I had lunch. I ate tacos..\nOn 2022/09/02, I spent 37 talking to Hazel on various topics in the late afternoon..\nOn 2022/09/02, I spent 20 minutes watching news on TV today..\nOn 2022/09/03, I had chinese food for lunch with Emily, Andrew.\nOn 2022/09/04, I spent 31 minutes reading a book today..\nOn 2022/09/05, I did HIIT on 2022/09/05..\nOn 2022/09/05, I spent 26 minutes reading a book today..\nOn 2022/09/06, I had lunch with Piper, Kinsley, Piper, Olivia. I ate sandwich..\nOn 2022/09/06, I had indian food for dinner with Emily.\nOn 2022/09/07, I had breakfast. I ate eggs, sausages, and bread..\nOn 2022/09/07, I spent 25 minutes watching news on TV today..\nOn 2022/09/08, I had steak for lunch with Jackson, Avery.\nOn 2022/09/09, Kayden for his/her  and I went for an annual physical checkup at the university hospital on 2022/09/09..\nOn 2022/09/09, I had dinner with Emily. I ate indian food..\nOn 2022/09/09, I talked to Nevaeh, Layla, Rylee, Kinsley for 26 minutes in the early afternoon..\nOn 2022/09/10, I did swimming on 2022/09/10..\nOn 2022/09/10, I prepare cereals for breakfast..\nOn 2022/09/10, I talked to Kinsley, Claire, Eva, Nora for 15 minutes in the early evening..\nOn 2022/09/11, I had sandwich for lunch with Avery, Eva, Nevaeh, Nora, Hazel, Claire, Piper, Piper, Olivia, Kinsley, Rylee.\nOn 2022/09/11, I spent 33 talking to Rylee, Piper, Nora on various topics in the early afternoon..\nOn 2022/09/11, I watched a documentary for 37 minutes on TV today..\nOn 2022/09/12, I did swimming on 2022/09/12..\nOn 2022/09/13, I spent 55 talking to Lydia, Kinsley, Layla, Olivia on various topics late in the evening..\nOn 2022/09/13, I spent 23 minutes on social media today..\nOn 2022/09/14, I had lunch. I ate pasta..\nOn 2022/09/15, I did biking on 2022/09/15..\nOn 2022/09/15, I had a burger for lunch with Nora, Eva, Avery, Hazel, Rylee, Piper, Layla, Piper.\nOn 2022/09/15, I spent 23 talking to Piper, Layla, Olivia, Piper on various topics in the early evening..\nOn 2022/09/19, I did hiking on 2022/09/19..\nOn 2022/09/19, I prepare toast and cheese for breakfast..\nOn 2022/09/19, I spent 36 minutes watching a tv series on TV today..\nOn 2022/09/20, I ate steak for lunch..\nOn 2022/09/20, I talked to Lydia, Nora, Nevaeh, Layla for 30 minutes in the early evening..\nOn 2022/09/21, I had dinner with Emily, Kayden, Andrew. I ate chinese food..\nOn 2022/09/21, I spent 48 talking to Lydia, Eva, Nora on various topics in the early evening..\nOn 2022/09/21, I watched news for 53 minutes on TV today..\nOn 2022/09/22, I did hiking on 2022/09/22..\nOn 2022/09/23, I did HIIT on 2022/09/23..\nOn 2022/09/23, I had lunch. I ate tacos..\nOn 2022/09/24, I did weight lifting on 2022/09/24..\nOn 2022/09/24, I had dinner. I ate sushi..\nOn 2022/09/24, I talked to Eva, Layla, Kinsley, Nora for 14 minutes in the early evening..\nOn 2022/09/25, I bought some oranges, apple juice, mango juice, orange juice, toothbrush, shaving cream, mouth wash, paper towel online..\nOn 2022/09/25, I prepare cereals for breakfast..\nOn 2022/09/26, I prepare toast and cheese for breakfast..\nOn 2022/09/26, I had fish and chips for lunch with Carter, Emily.\nOn 2022/09/26, I talked to Claire, Piper for 15 minutes in the early afternoon..\nOn 2022/09/27, I ate oatmeal for breakfast..\nOn 2022/09/28, I spent 23 minutes reading a book today..\nOn 2022/09/28, I watched a documentary for 26 minutes on TV today..\nOn 2022/09/29, I ate oatmeal for breakfast..\nOn 2022/09/30, I ate pasta for lunch..\nOn 2022/09/30, I ate steak for dinner..\nOn 2022/10/01, I ate a burger for lunch..\nOn 2022/10/01, I spent 6 talking to Eva, Nora on various topics during lunch hours..\nOn 2022/10/02, I prepare tacos for lunch..\nOn 2022/10/03, I bought some clementines, pineapples, blueberries, guava juice, mineral water, chocolate milk, facial wash from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store..\nOn 2022/10/03, I spent 49 talking to Nora, Piper, Piper on various topics in the late afternoon..\nOn 2022/10/04, I did weight lifting on 2022/10/04..\nOn 2022/10/05, I had pasta for dinner with Andrew, Emily, Kayden.\nOn 2022/10/05, I talked to Hazel, Rylee for 37 minutes in the late afternoon..\nOn 2022/10/05, I watched a documentary for 5 minutes on TV today..\nOn 2022/10/06, I did HIIT on 2022/10/06..\nOn 2022/10/06, I spent 31 minutes reading news today..\nOn 2022/10/06, I spent 12 minutes watching a documentary on TV today..\nOn 2022/10/07, I spent 53 talking to Avery on various topics during lunch hours..\nOn 2022/10/08, I spent 52 minutes reading news today..\nOn 2022/10/09, I talked to Rylee for 22 minutes in the early evening..\nOn 2022/10/09, I spent 54 minutes watching a movie on TV today..\nOn 2022/10/10, I had breakfast. I ate eggs, sausages, and bread..\nOn 2022/10/11, On 2022/10/11, I took Wyatt on a date to a park.\nOn 2022/10/11, I did biking on 2022/10/11..\nOn 2022/10/11, I spent 53 minutes on a book today..\nOn 2022/10/12, I had indian food for lunch with Andrew, Kayden.\nOn 2022/10/12, I ate sandwich for dinner..\nOn 2022/10/13, I took Emily for his/her  for an annual vision checkup on 2022/10/13 at the hospital..\nOn 2022/10/13, I did swimming on 2022/10/13..\nOn 2022/10/13, I ate a burger for dinner..\nOn 2022/10/14, I had lunch with Layla, Eva, Lydia, Nora, Kinsley, Piper, Avery. I ate a burger..\nOn 2022/10/15, I had breakfast. I ate peanut-butter-jam..\nOn 2022/10/15, I had dinner. I ate tacos..\nOn 2022/10/16, my parents for their and I went for an annual dental cleaning and checkup at the private clinic on 2022/10/16..\nOn 2022/10/16, I bought some blackberries, bananas, cherres, clementines, soda, apple juice, sports drinks, coffee, toilet paper, mouthwash online..\nOn 2022/10/16, I spent 23 minutes watching a movie on TV today..\nOn 2022/10/18, On 2022/10/18, I took Cora on a date to a boba shop.\nOn 2022/10/18, I did hiking on 2022/10/18..\nOn 2022/10/19, I prepare cereals for breakfast..\nOn 2022/10/19, I had lunch. I ate chinese food..\nOn 2022/10/19, I spent 43 minutes watching a tv series on TV today..\nOn 2022/10/20, I did weight lifting on 2022/10/20..\nOn 2022/10/20, I prepare tacos for dinner..\nOn 2022/10/20, I spent 54 minutes on news today..\nOn 2022/10/21, I ate chinese food for lunch..\nOn 2022/10/22, I spent 33 minutes reading news today..\nOn 2022/10/23, I did swimming on 2022/10/23..\nOn 2022/10/23, I spent 30 minutes reading news today..\nOn 2022/10/24, I ate fish and chips for dinner..\nOn 2022/10/25, I went on a date with Piper on 2022/10/25 at a restaurant.\nOn 2022/10/25, I spent 37 minutes on social media today..\nOn 2022/10/26, I ate a burger for dinner..\nOn 2022/10/26, I spent 39 minutes on a book today..\nOn 2022/10/27, I spent 6 minutes on social media today..\nOn 2022/10/28, I had peanut-butter-jam for breakfast with Kayden, Emily, Carter.\nOn 2022/10/28, I spent 49 minutes reading social media today..\nOn 2022/10/29, I went grocery shopping with Carter. I bought some mandarins, blueberries, strawberries, tea, milk, and toilet paper, toothbrush, conditioner, paper towel.\nOn 2022/10/29, I watched news for 8 minutes on TV today..\nOn 2022/10/30, I did HIIT on 2022/10/30..\nOn 2022/10/30, I ate steak for lunch..\nOn 2022/10/30, I prepare chinese food for dinner..\nOn 2022/10/31, I did HIIT on 2022/10/31..\nOn 2022/10/31, I watched news for 42 minutes on TV today..\nOn 2022/11/02, I did biking on 2022/11/02..\nOn 2022/11/02, I had breakfast with Benjamin, Avery, Willow. I ate oatmeal..\nOn 2022/11/03, I had lunch. I ate chinese food..\nOn 2022/11/03, I watched a movie for 22 minutes on TV today..\nOn 2022/11/04, I had cereals for breakfast with Andrew, Emily, Carter.\nOn 2022/11/05, I had breakfast with Hazel, Nevaeh, Layla, Nora. I ate oatmeal..\nOn 2022/11/05, I had fish and chips for lunch with Layla.\nOn 2022/11/05, I spent 36 talking to Rylee on various topics in the early evening..\nOn 2022/11/06, I had eggs, sausages, and bread for breakfast with Nevaeh, Hazel, Lydia, Kinsley, Piper, Layla, Avery, Nora.\nOn 2022/11/06, I prepare a burger for lunch..\nOn 2022/11/06, I prepare tacos for dinner..\nOn 2022/11/06, I spent 19 talking to Olivia on various topics in the late afternoon..\nOn 2022/11/06, I spent 30 minutes on news today..\nOn 2022/11/07, I went grocery shopping. I bought some oranges, mango juice, apple juice, milk, and mouthwash, mouth wash.\nOn 2022/11/07, I ate fish and chips for dinner..\nOn 2022/11/08, I spent 25 talking to Nora, Nevaeh, Rylee, Layla on various topics in the late afternoon..\nOn 2022/11/09, On 2022/11/09, I took Kennedy on a date to a park.\nOn 2022/11/09, I did running on 2022/11/09..\nOn 2022/11/10, I had lunch with Jackson, Avery, Benjamin, Willow. I ate sushi..\nOn 2022/11/10, I had steak for dinner with Andrew, Carter, Emily.\nOn 2022/11/11, I had indian food for dinner with Benjamin, Willow, Jackson, Avery.\nOn 2022/11/12, I watched a tv series for 6 minutes on TV today..\nOn 2022/11/13, I spent 22 minutes on news today..\nOn 2022/11/14, I spent 22 talking to Eva, Avery, Kinsley on various topics in the early afternoon..\nOn 2022/11/14, I spent 48 minutes on social media today..\nOn 2022/11/14, I watched a movie for 19 minutes on TV today..\nOn 2022/11/15, I talked to Hazel for 17 minutes in the early evening..\nOn 2022/11/15, I spent 51 minutes reading a book today..\nOn 2022/11/16, I had indian food for dinner with Carter, Andrew, Kayden, Emily.\nOn 2022/11/16, I spent 33 minutes on social media today..\nOn 2022/11/17, On 2022/11/17, I took Everleigh on a date to a coffee Shop.\nOn 2022/11/17, I bought some clementines, strawberries, chocolate milk, coffee, toilet paper from the grocery store. I saw Emily, Kayden, Andrew at the grocery store..\nOn 2022/11/17, I had fish and chips for lunch with Carter.\nOn 2022/11/17, I talked to Layla, Lydia, Avery, Claire for 42 minutes late in the evening..\nOn 2022/11/17, I watched a movie for 13 minutes on TV today..\nOn 2022/11/18, I ate pancakes for breakfast..\nOn 2022/11/18, I had lunch. I ate indian food..\nOn 2022/11/18, I talked to Avery for 15 minutes in the early evening..\nOn 2022/11/19, I ate eggs, sausages, and bread for breakfast..\nOn 2022/11/19, I watched a tv series for 31 minutes on TV today..\nOn 2022/11/20, I took my parents for their for an annual physical checkup on 2022/11/20 at the university hospital..\nOn 2022/11/20, I bought some bananas, pears, mineral water, apple juice, mouth wash from the grocery store. I saw Claire, Piper, Piper, Olivia, Avery at the grocery store..\nOn 2022/11/20, I did HIIT on 2022/11/20..\nOn 2022/11/20, I spent 5 minutes reading a book today..\nOn 2022/11/21, I had breakfast. I ate toast and cheese..\nOn 2022/11/21, I spent 11 talking to Rylee, Piper, Eva on various topics late in the evening..\nOn 2022/11/22, I did weight lifting on 2022/11/22..\nOn 2022/11/22, I had lunch. I ate steak..\nOn 2022/11/22, I spent 48 talking to Lydia, Avery on various topics in the late afternoon..\nOn 2022/11/22, I spent 16 minutes reading social media today..\nOn 2022/11/23, I had breakfast with Carter, Kayden, Emily, Andrew. I ate peanut-butter-jam..\nOn 2022/11/24, I had breakfast. I ate cereals..\nOn 2022/11/25, I had lunch with Carter. I ate fish and chips..\nOn 2022/11/25, I talked to Avery, Olivia, Kinsley, Layla for 28 minutes during lunch hours..\nOn 2022/11/26, I had dinner with Andrew, Emily, Carter, Kayden. I ate fish and chips..\nOn 2022/11/28, I entertained Kayden, Emily at my place on 2022/11/28 and bake cream-filled bundt cake, chocolate-chip mug brownie.\nOn 2022/11/28, I had dinner with Nora, Lydia, Avery, Nevaeh, Piper, Rylee. I ate chinese food..\nOn 2022/11/29, I did biking on 2022/11/29..\nOn 2022/11/29, I spent 37 talking to Avery, Claire, Eva, Layla on various topics in the morning..\nOn 2022/11/30, I went grocery shopping with Kayden, Emily, Carter, Andrew. I bought some peaches, sports drinks, guava juice, and toothpaste, body lotion.\nOn 2022/11/30, I ate chinese food for lunch..\nOn 2022/12/01, I had a burger for dinner with Piper, Nevaeh, Piper, Eva, Kinsley, Avery, Nora, Lydia, Olivia, Hazel, Layla.\nOn 2022/12/01, I spent 40 minutes watching a tv series on TV today..\nOn 2022/12/04, I talked to Kinsley for 30 minutes in the early afternoon..\nOn 2022/12/05, I was baking brownies, chocolate chip cookie in a mug, fig tarte tatin on 2022/12/05 with Eva, Olivia, Kinsley at my place.\nOn 2022/12/07, I watched a movie for 37 minutes on TV today..\nOn 2022/12/08, I did HIIT on 2022/12/08..\nOn 2022/12/08, I had dinner with Benjamin, Willow. I ate pasta..\nOn 2022/12/08, I talked to Lydia for 9 minutes late in the evening..\nOn 2022/12/09, I went grocery shopping. I bought some clementines, watermelons, coffee, milk, mango juice, and paper towel, conditioner, body lotion, toilet paper.\nOn 2022/12/09, I had lunch. I ate steak..\nOn 2022/12/10, I had sushi for lunch with Layla.\nOn 2022/12/10, I spent 30 talking to Nevaeh, Avery, Hazel, Claire on various topics in the morning..\nOn 2022/12/12, I had lunch with Emily. I ate chinese food..\nOn 2022/12/12, I spent 5 minutes watching news on TV today..\nOn 2022/12/13, I went grocery shopping with Kayden, Emily, Carter. I bought some bananas, soda, orange juice, apple juice, and toothbrush, facial wash, mouthwash.\nOn 2022/12/13, I spent 10 minutes watching a movie on TV today..\nOn 2022/12/14, I ate pasta for dinner..\nOn 2022/12/15, On 2022/12/15, I took Naomi on a date to a coffee Shop.\nOn 2022/12/15, I did biking on 2022/12/15..\nOn 2022/12/15, I had sushi for lunch with Piper, Lydia, Avery, Claire, Nora.\nOn 2022/12/16, I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter, Emily.\nOn 2022/12/16, I had dinner. I ate steak..\nOn 2022/12/17, I ate pasta for dinner..\nOn 2022/12/18, I spent time yoga on 2022/12/18 with Andrew, Carter, Kayden..\nOn 2022/12/19, I did running on 2022/12/19..\nOn 2022/12/19, I had eggs, sausages, and bread for breakfast with Benjamin, Avery, Jackson.\nOn 2022/12/20, I watched a tv series for 54 minutes on TV today..\nOn 2022/12/21, I talked to Nevaeh, Eva, Piper, Rylee for 30 minutes in the morning..\nOn 2022/12/21, I spent 41 minutes on a book today..\nOn 2022/12/23, On 2022/12/23, I took Elena on a date to a coffee Shop.\nOn 2022/12/23, I did running on 2022/12/23..\nOn 2022/12/23, I ate pasta for lunch..\nOn 2022/12/23, I had pasta for dinner with Jackson, Willow, Benjamin, Avery.\nOn 2022/12/24, I spent 31 minutes reading news today..\nOn 2022/12/26, I ate steak for dinner..\nOn 2022/12/26, I spent 43 talking to Layla, Avery, Olivia on various topics in the early afternoon..\nOn 2022/12/27, I prepare indian food for dinner..\nOn 2022/12/29, I did weight lifting on 2022/12/29..\nOn 2022/12/29, I ate peanut-butter-jam for breakfast..\nOn 2022/12/29, I had dinner. I ate fish and chips..\nOn 2022/12/30, I really enjoyed learning a language on 2022/12/30.\nOn 2022/12/30, I bought some guava, oranges, clementines, coffee, guava juice, mineral water, soda, facial wash, toothbrush online..\nOn 2022/12/30, I spent 19 talking to Claire, Piper on various topics during lunch hours..\nOn 2022/12/30, I spent 23 minutes on news today..\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/timeline.json",
    "content": "{\"1992/05/27\": {\"birth_info\": {\"eid\": \"e0\", \"logical_representation\": [\"1992/05/27\", [\"Avery\", \"Jackson\"], [\"Asansol\", \"India\"]], \"text_template_based\": \"My parents are Avery and Jackson.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who are my parents?\", \"Avery and Jackson\"]], \"multihop_qa_pairs\": []}}, \"2010/02/12\": {\"travel\": {\"eid\": \"e1\", \"logical_representation\": [\"2010/02/12\", \"2010/02/18\", [\"Carter\", \"Kayden\"], \"Philadelphia, US\"], \"text_template_based\": \"On 2010/02/12 Carter, Kayden and I went to Philadelphia, US together for 6 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Philadelphia, US on 2010/02/12?\", \"Carter, Kayden\"], [\"who did I go with to Philadelphia, US?\", \"Carter, Kayden\"], [\"where did I go on 2010/02/12?\", \"Philadelphia, US\"], [\"when did I go to Philadelphia, US?\", \"2010/02/12\"], [\"when did I go to Philadelphia, US with Carter, Kayden ?\", \"2010/02/12\"], [\"How long did I stay in Philadelphia, US?\", \"6\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e138\", \"logical_representation\": [\"2010/02/12\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/12?\", \"24 minutes\"], [\"what did I watch on tv on 2010/02/12?\", \"news\"], [\"Did I watch tv on 2010/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/13\": {\"places_visited\": {\"eid\": \"e2\", \"logical_representation\": [\"2010/02/13\", [\"Carter\", \"Kayden\"], \"Liberty Bell\", \"took a group photo\", \"impressed\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Liberty Bell on 2010/02 with Carter, Kayden.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2010/02\", \"Liberty Bell\"], [\"when did I visit Liberty Bell during my trip to Philadelphia, US\", \"2010/02/13\"], [\"when did I visit Liberty Bell \", \"2010/02/13\"], [\"who went with me to visit Liberty Bell ?\", \"Carter, Kayden\"], [\"who went with me to visit Liberty Bell during my trip to Philadelphia, US on 2010/02?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e7\", \"logical_representation\": [\"2010/02/13\", [\"Carter\", \"Kayden\"], \"Chinese food\", \"High Street Philly\"], \"text_template_based\": \"I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/13 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at High Street Philly ?\", \"Carter, Kayden\"], [\"who did I eat Chinese food with?\", \"Carter, Kayden\"], [\"where did we eat Chinese food during our trip to Philadelphia, US on  2010/02/13?\", \"High Street Philly\"], [\"when did we eat Chinese food at High Street Philly during our trip to Philadelphia, US?\", \"2010/02/13\"], [\"when did we eat at High Street Philly?\", \"2010/02/13\"], [\"when did we eat Chinese food?\", \"2010/02/13\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e139\", \"logical_representation\": [\"2010/02/13\", \"Claire, Olivia\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia for 47 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia during lunch hours on 2010/02/13?\", \"47 minutes\"], [\"who did I talk to on 2010/02/13?\", \"Claire, Olivia\"], [\"Did I talk to Claire, Olivia on 2010/02/13?\", \"yes\"], [\"Did I talk to anyone on 2010/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/14\": {\"places_visited\": {\"eid\": \"e3\", \"logical_representation\": [\"2010/02/14\", [\"Carter\", \"Kayden\"], \"Philadelphia Museum of Art\", \"recorded some videos\", \"happy\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Philadelphia Museum of Art on 2010/02 with Carter, Kayden.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2010/02\", \"Philadelphia Museum of Art\"], [\"when did I visit Philadelphia Museum of Art during my trip to Philadelphia, US\", \"2010/02/14\"], [\"when did I visit Philadelphia Museum of Art \", \"2010/02/14\"], [\"who went with me to visit Philadelphia Museum of Art ?\", \"Carter, Kayden\"], [\"who went with me to visit Philadelphia Museum of Art during my trip to Philadelphia, US on 2010/02?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e140\", \"logical_representation\": [\"2010/02/14\", \"Eva, Nora\", \"in the early afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Eva, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora in the early afternoon on 2010/02/14?\", \"50 minutes\"], [\"who did I talk to on 2010/02/14?\", \"Eva, Nora\"], [\"Did I talk to Eva, Nora on 2010/02/14?\", \"yes\"], [\"Did I talk to anyone on 2010/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/15\": {\"places_visited\": {\"eid\": \"e4\", \"logical_representation\": [\"2010/02/15\", [\"Carter\", \"Kayden\"], \"Ipanema\", \"bought some souvenirs\", \"happy\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Ipanema on 2010/02 with Carter, Kayden.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2010/02\", \"Ipanema\"], [\"when did I visit Ipanema during my trip to Philadelphia, US\", \"2010/02/15\"], [\"when did I visit Ipanema \", \"2010/02/15\"], [\"who went with me to visit Ipanema ?\", \"Carter, Kayden\"], [\"who went with me to visit Ipanema during my trip to Philadelphia, US on 2010/02?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e8\", \"logical_representation\": [\"2010/02/15\", [\"Carter\", \"Kayden\"], \"Chinese food\", \"High Street Philly\"], \"text_template_based\": \"I ate Chinese food at High Street Philly with Carter, Kayden on  2010/02/15 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at High Street Philly ?\", \"Carter, Kayden\"], [\"who did I eat Chinese food with?\", \"Carter, Kayden\"], [\"where did we eat Chinese food during our trip to Philadelphia, US on  2010/02/15?\", \"High Street Philly\"], [\"when did we eat Chinese food at High Street Philly during our trip to Philadelphia, US?\", \"2010/02/15\"], [\"when did we eat at High Street Philly?\", \"2010/02/15\"], [\"when did we eat Chinese food?\", \"2010/02/15\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e141\", \"logical_representation\": [\"2010/02/15\", \"dinner\", \"sandwich\", \"Piper, Lydia, Claire, Layla, Nora, Kinsley, Avery, Eva, Piper, Nevaeh, Hazel, Rylee\"], \"text_template_based\": \"I had dinner with Piper, Lydia, Claire, Layla, Nora, Kinsley, Avery, Eva, Piper, Nevaeh, Hazel, Rylee. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/02/15?\", \"Piper, Lydia, Claire, Layla, Nora, Kinsley, Avery, Eva, Piper, Nevaeh, Hazel, Rylee\"], [\"what did I eat for dinner on 2010/02/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2010/02/16\": {\"places_visited\": {\"eid\": \"e5\", \"logical_representation\": [\"2010/02/16\", [\"Carter\", \"Kayden\"], \"Carnaval\", \"took a selfie\", \"impressed\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Carnaval on 2010/02 with Carter, Kayden.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2010/02\", \"Carnaval\"], [\"when did I visit Carnaval during my trip to Philadelphia, US\", \"2010/02/16\"], [\"when did I visit Carnaval \", \"2010/02/16\"], [\"who went with me to visit Carnaval ?\", \"Carter, Kayden\"], [\"who went with me to visit Carnaval during my trip to Philadelphia, US on 2010/02?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e9\", \"logical_representation\": [\"2010/02/16\", [\"Carter\", \"Kayden\"], \"street food\", \"Lunch Street\"], \"text_template_based\": \"I ate street food at Lunch Street with Carter, Kayden on  2010/02/16 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat street food with at Lunch Street ?\", \"Carter, Kayden\"], [\"who did I eat street food with?\", \"Carter, Kayden\"], [\"where did we eat street food during our trip to Philadelphia, US on  2010/02/16?\", \"Lunch Street\"], [\"when did we eat street food at Lunch Street during our trip to Philadelphia, US?\", \"2010/02/16\"], [\"when did we eat at Lunch Street?\", \"2010/02/16\"], [\"when did we eat street food?\", \"2010/02/16\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e142\", \"logical_representation\": [\"2010/02/16\", \"Olivia, Piper, Claire\", \"in the early afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Claire for 43 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Claire in the early afternoon on 2010/02/16?\", \"43 minutes\"], [\"who did I talk to on 2010/02/16?\", \"Olivia, Piper, Claire\"], [\"Did I talk to Olivia, Piper, Claire on 2010/02/16?\", \"yes\"], [\"Did I talk to anyone on 2010/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/17\": {\"places_visited\": {\"eid\": \"e6\", \"logical_representation\": [\"2010/02/17\", [\"Carter\", \"Kayden\"], \"Independence Hall\", \"recorded some videos\", \"happy\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Independence Hall on 2010/02 with Carter, Kayden.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2010/02\", \"Independence Hall\"], [\"when did I visit Independence Hall during my trip to Philadelphia, US\", \"2010/02/17\"], [\"when did I visit Independence Hall \", \"2010/02/17\"], [\"who went with me to visit Independence Hall ?\", \"Carter, Kayden\"], [\"who went with me to visit Independence Hall during my trip to Philadelphia, US on 2010/02?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e10\", \"logical_representation\": [\"2010/02/17\", [\"Carter\", \"Kayden\"], \"Japanese food\", \"High Street Philly\"], \"text_template_based\": \"I ate Japanese food at High Street Philly with Carter, Kayden on  2010/02/17 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at High Street Philly ?\", \"Carter, Kayden\"], [\"who did I eat Japanese food with?\", \"Carter, Kayden\"], [\"where did we eat Japanese food during our trip to Philadelphia, US on  2010/02/17?\", \"High Street Philly\"], [\"when did we eat Japanese food at High Street Philly during our trip to Philadelphia, US?\", \"2010/02/17\"], [\"when did we eat at High Street Philly?\", \"2010/02/17\"], [\"when did we eat Japanese food?\", \"2010/02/17\"]], \"multihop_qa_pairs\": []}}, \"2010/02/18\": {\"dining\": {\"eid\": \"e11\", \"logical_representation\": [\"2010/02/18\", [\"Carter\", \"Kayden\"], \"Japanese food\", \"Wood Street Pizza\"], \"text_template_based\": \"I ate Japanese food at Wood Street Pizza with Carter, Kayden on  2010/02/18 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Wood Street Pizza ?\", \"Carter, Kayden\"], [\"who did I eat Japanese food with?\", \"Carter, Kayden\"], [\"where did we eat Japanese food during our trip to Philadelphia, US on  2010/02/18?\", \"Wood Street Pizza\"], [\"when did we eat Japanese food at Wood Street Pizza during our trip to Philadelphia, US?\", \"2010/02/18\"], [\"when did we eat at Wood Street Pizza?\", \"2010/02/18\"], [\"when did we eat Japanese food?\", \"2010/02/18\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e143\", \"logical_representation\": [\"2010/02/18\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/02/18?\", \"48 minutes\"], [\"what did I read on 2010/02/18?\", \"news\"], [\"Did I read on 2010/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/20\": {\"personal_medical_care\": {\"eid\": \"e12\", \"logical_representation\": [\"2010/08/20\", \"I went for an annual physical checkup on 2010/08/20 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I went for an annual physical checkup on 2010/08/20 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual physical checkup in 2010?\", \"2010/08/20\"], [\"where did I go for an annual physical checkup on 2010/08/20\", \"private clinic\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e403\", \"logical_representation\": [\"2010/08/20\", \"dinner\", \"chinese food\", \"Avery\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e404\", \"logical_representation\": [\"2010/08/20\", \"Piper, Piper\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Piper, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper late in the evening on 2010/08/20?\", \"42 minutes\"], [\"who did I talk to on 2010/08/20?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2010/08/20?\", \"yes\"], [\"Did I talk to anyone on 2010/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/28\": {\"personal_medical_care\": {\"eid\": \"e13\", \"logical_representation\": [\"2010/09/28\", \"I went for an annual dental cleaning and checkup on 2010/09/28 at the hospital.\", \"hospital\"], \"text_template_based\": \"I went for an annual dental cleaning and checkup on 2010/09/28 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual dental cleaning and checkup in 2010?\", \"2010/09/28\"], [\"where did I go for an annual dental cleaning and checkup on 2010/09/28\", \"hospital\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e468\", \"logical_representation\": [\"2010/09/28\", \"breakfast\", \"oatmeal\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had breakfast with Avery, Benjamin, Willow. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/09/28?\", \"Avery, Benjamin, Willow\"], [\"what did I eat for breakfast on 2010/09/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e469\", \"logical_representation\": [\"2010/09/28\", \"lunch\", \"fish and chips\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/09/28?\", \"Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2010/09/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e470\", \"logical_representation\": [\"2010/09/28\", \"a movie\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/28?\", \"47 minutes\"], [\"what did I watch on tv on 2010/09/28?\", \"a movie\"], [\"Did I watch tv on 2010/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/16\": {\"parent_medical_care\": {\"eid\": \"e14\", \"logical_representation\": [\"2010/07/16\", \"my parents for their and I went for an annual physical checkup at the hospital on 2010/07/16.\", \"hospital\"], \"text_template_based\": \"my parents for their and I went for an annual physical checkup at the hospital on 2010/07/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2010?\", \"2010/07/16\"], [\"what did I do on 2010/07/16\", \"I took my parents for their for an  annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e349\", \"logical_representation\": [\"2010/07/16\", \"breakfast\", \"pancakes\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e350\", \"logical_representation\": [\"2010/07/16\", \"Piper\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Piper for 10 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2010/07/16?\", \"10 minutes\"], [\"who did I talk to on 2010/07/16?\", \"Piper\"], [\"Did I talk to Piper on 2010/07/16?\", \"yes\"], [\"Did I talk to anyone on 2010/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/18\": {\"parent_medical_care\": {\"eid\": \"e15\", \"logical_representation\": [\"2010/01/18\", \"I took my parents for their for an annual dental cleaning and checkup on 2010/01/18 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I took my parents for their for an annual dental cleaning and checkup on 2010/01/18 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2010?\", \"2010/01/18\"], [\"what did I do on 2010/01/18\", \"I took my parents for their for an annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}}, \"2010/01/02\": {\"dating\": {\"eid\": \"e16\", \"logical_representation\": [\"2010/01/02\", \"Leah\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Leah on 2010/01/02 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/01/02\", \"Leah\"], [\"where did I go for the date on 2010/01/02\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e79\", \"logical_representation\": [\"2010/01/02\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/01/02?\", \"25 minutes\"], [\"what did I read on 2010/01/02?\", \"a book\"], [\"Did I read on 2010/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e80\", \"logical_representation\": [\"2010/01/02\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I watched a documentary for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/02?\", \"10 minutes\"], [\"what did I watch on tv on 2010/01/02?\", \"a documentary\"], [\"Did I watch tv on 2010/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/01\": {\"grocery\": {\"eid\": \"e17\", \"logical_representation\": [\"2010/01/01\", \"I went grocery shopping. I bought some strawberries, orange juice, and mouth wash, shaving cream, toothpaste, shampoo\", \"strawberries\", \"orange juice\", \"mouth wash, shaving cream, toothpaste, shampoo\", \"Eva, Piper, Avery, Claire, Lydia, Nevaeh, Piper, Olivia, Layla, Rylee, Hazel, Kinsley\"], \"text_template_based\": \"I went grocery shopping. I bought some strawberries, orange juice, and mouth wash, shaving cream, toothpaste, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/01/01?\", \"strawberries, orange juice, and mouth wash, shaving cream, toothpaste, shampoo\"], [\"what fruits did I buy from the grocery store on 2010/01/01?\", \"strawberries\"], [\"what drinks did I buy from the grocery store on 2010/01/01?\", \"orange juice\"], [\"what toiletries did I buy from the grocery store on 2010/01/01?\", \"mouth wash, shaving cream, toothpaste, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e78\", \"logical_representation\": [\"2010/01/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/01/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2010/01/14\": {\"dating\": {\"eid\": \"e18\", \"logical_representation\": [\"2010/01/14\", \"Mila\", \"a park\"], \"text_template_based\": \"I went on a date with Mila on 2010/01/14 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/01/14\", \"Mila\"], [\"where did I go for the date on 2010/01/14\", \"a park\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e97\", \"logical_representation\": [\"2010/01/14\", \"Nora, Lydia, Piper\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Nora, Lydia, Piper for 23 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Piper in the late afternoon on 2010/01/14?\", \"23 minutes\"], [\"who did I talk to on 2010/01/14?\", \"Nora, Lydia, Piper\"], [\"Did I talk to Nora, Lydia, Piper on 2010/01/14?\", \"yes\"], [\"Did I talk to anyone on 2010/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e98\", \"logical_representation\": [\"2010/01/14\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/01/14?\", \"12 minutes\"], [\"what did I read on 2010/01/14?\", \"a book\"], [\"Did I read on 2010/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/22\": {\"grocery\": {\"eid\": \"e19\", \"logical_representation\": [\"2010/01/22\", \"I bought some pears, blackberries, pineapples, strawberries, milk, apple juice, toothbrush from the grocery store. I saw Kayden, Andrew, Carter, Emily at the grocery store.\", \"pears, blackberries, pineapples, strawberries\", \"milk, apple juice\", \"toothbrush\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I bought some pears, blackberries, pineapples, strawberries, milk, apple juice, toothbrush from the grocery store. I saw Kayden, Andrew, Carter, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/01/22?\", \"pears, blackberries, pineapples, strawberries, milk, apple juice, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2010/01/22?\", \"pears, blackberries, pineapples, strawberries\"], [\"what drinks did I buy from the grocery store on 2010/01/22?\", \"milk, apple juice\"], [\"what toiletries did I buy from the grocery store on 2010/01/22?\", \"toothbrush\"], [\"who did I see at the grocery store on 2010/01/22?\", \"Kayden, Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e108\", \"logical_representation\": [\"2010/01/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/01/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e109\", \"logical_representation\": [\"2010/01/22\", \"lunch\", \"tacos\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e110\", \"logical_representation\": [\"2010/01/22\", \"dinner\", \"chinese food\", \"Emily, Carter\"], \"text_template_based\": \"I had chinese food for dinner with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/01/22?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2010/01/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2010/02/02\": {\"dating\": {\"eid\": \"e20\", \"logical_representation\": [\"2010/02/02\", \"Noah\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Noah on 2010/02/02 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/02/02\", \"Noah\"], [\"where did I go for the date on 2010/02/02\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e126\", \"logical_representation\": [\"2010/02/02\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/02?\", \"25 minutes\"], [\"what did I watch on tv on 2010/02/02?\", \"a documentary\"], [\"Did I watch tv on 2010/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/03\": {\"grocery\": {\"eid\": \"e21\", \"logical_representation\": [\"2010/02/03\", \"I went grocery shopping. I bought some watermelons, pineapples, apples, sports drinks, and paper towel, mouthwash, shaving cream, facial wash\", \"watermelons, pineapples, apples\", \"sports drinks\", \"paper towel, mouthwash, shaving cream, facial wash\", \"Layla, Lydia, Piper, Olivia, Piper, Eva, Avery, Rylee, Nora, Nevaeh, Kinsley\"], \"text_template_based\": \"I went grocery shopping. I bought some watermelons, pineapples, apples, sports drinks, and paper towel, mouthwash, shaving cream, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/02/03?\", \"watermelons, pineapples, apples, sports drinks, and paper towel, mouthwash, shaving cream, facial wash\"], [\"what fruits did I buy from the grocery store on 2010/02/03?\", \"watermelons, pineapples, apples\"], [\"what drinks did I buy from the grocery store on 2010/02/03?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2010/02/03?\", \"paper towel, mouthwash, shaving cream, facial wash\"]], \"multihop_qa_pairs\": []}}, \"2010/02/09\": {\"dating\": {\"eid\": \"e22\", \"logical_representation\": [\"2010/02/09\", \"Nora\", \"a park\"], \"text_template_based\": \"On 2010/02/09, I took Nora on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/02/09\", \"Nora\"], [\"where did I go for the date on 2010/02/09\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e133\", \"logical_representation\": [\"2010/02/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/02/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/02/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e134\", \"logical_representation\": [\"2010/02/09\", \"breakfast\", \"oatmeal\", \"Nora, Piper, Olivia, Nevaeh, Piper, Eva, Claire, Avery, Layla, Kinsley, Rylee, Lydia\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/02/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e135\", \"logical_representation\": [\"2010/02/09\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I watched a documentary for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/09?\", \"17 minutes\"], [\"what did I watch on tv on 2010/02/09?\", \"a documentary\"], [\"Did I watch tv on 2010/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/20\": {\"dating\": {\"eid\": \"e23\", \"logical_representation\": [\"2010/02/20\", \"Daniel\", \"a coffee Shop\"], \"text_template_based\": \"On 2010/02/20, I took Daniel on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/02/20\", \"Daniel\"], [\"where did I go for the date on 2010/02/20\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e145\", \"logical_representation\": [\"2010/02/20\", \"news\", \"52 minutes\"], \"text_template_based\": \"I watched news for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/20?\", \"52 minutes\"], [\"what did I watch on tv on 2010/02/20?\", \"news\"], [\"Did I watch tv on 2010/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/06\": {\"dating\": {\"eid\": \"e24\", \"logical_representation\": [\"2010/03/06\", \"Grace\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Grace on 2010/03/06 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/03/06\", \"Grace\"], [\"where did I go for the date on 2010/03/06\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e170\", \"logical_representation\": [\"2010/03/06\", \"breakfast\", \"cereals\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/03/06\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e171\", \"logical_representation\": [\"2010/03/06\", \"lunch\", \"fish and chips\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e172\", \"logical_representation\": [\"2010/03/06\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/03/06?\", \"33 minutes\"], [\"what did I read on 2010/03/06?\", \"social media\"], [\"Did I read on 2010/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/09\": {\"dating\": {\"eid\": \"e25\", \"logical_representation\": [\"2010/03/09\", \"Colton\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Colton on 2010/03/09 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/03/09\", \"Colton\"], [\"where did I go for the date on 2010/03/09\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e176\", \"logical_representation\": [\"2010/03/09\", \"Olivia, Lydia, Avery\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Olivia, Lydia, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia, Avery in the morning on 2010/03/09?\", \"55 minutes\"], [\"who did I talk to on 2010/03/09?\", \"Olivia, Lydia, Avery\"], [\"Did I talk to Olivia, Lydia, Avery on 2010/03/09?\", \"yes\"], [\"Did I talk to anyone on 2010/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/10\": {\"grocery\": {\"eid\": \"e26\", \"logical_representation\": [\"2010/03/10\", \"I bought some apples, bananas, blackberries, pears, apple juice, coffee, toothbrush, body lotion, paper towel, shampoo online.\", \"apples, bananas, blackberries, pears\", \"apple juice, coffee\", \"toothbrush, body lotion, paper towel, shampoo\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I bought some apples, bananas, blackberries, pears, apple juice, coffee, toothbrush, body lotion, paper towel, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/03/10?\", \"apples, bananas, blackberries, pears, apple juice, coffee, and toothbrush, body lotion, paper towel, shampoo\"], [\"what fruits did I buy online on 2010/03/10?\", \"apples, bananas, blackberries, pears\"], [\"what drinks did I buy online on 2010/03/10?\", \"apple juice, coffee\"], [\"what toiletries did I buy online on 2010/03/10?\", \"toothbrush, body lotion, paper towel, shampoo\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e177\", \"logical_representation\": [\"2010/03/10\", \"dinner\", \"chinese food\", \"Andrew, Emily\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2010/03/15\": {\"dating\": {\"eid\": \"e27\", \"logical_representation\": [\"2010/03/15\", \"Carson\", \"a park\"], \"text_template_based\": \"On 2010/03/15, I took Carson on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/03/15\", \"Carson\"], [\"where did I go for the date on 2010/03/15\", \"a park\"]], \"multihop_qa_pairs\": []}}, \"2010/03/13\": {\"grocery\": {\"eid\": \"e28\", \"logical_representation\": [\"2010/03/13\", \"I bought some apricots, blackberries, tea, toothpaste, mouthwash, paper towel online.\", \"apricots, blackberries\", \"tea\", \"toothpaste, mouthwash, paper towel\", \"Andrew\"], \"text_template_based\": \"I bought some apricots, blackberries, tea, toothpaste, mouthwash, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/03/13?\", \"apricots, blackberries, tea, and toothpaste, mouthwash, paper towel\"], [\"what fruits did I buy online on 2010/03/13?\", \"apricots, blackberries\"], [\"what drinks did I buy online on 2010/03/13?\", \"tea\"], [\"what toiletries did I buy online on 2010/03/13?\", \"toothpaste, mouthwash, paper towel\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e179\", \"logical_representation\": [\"2010/03/13\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/03/13?\", \"32 minutes\"], [\"what did I read on 2010/03/13?\", \"a book\"], [\"Did I read on 2010/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/20\": {\"dating\": {\"eid\": \"e29\", \"logical_representation\": [\"2010/03/20\", \"Jade\", \"a boba shop\"], \"text_template_based\": \"On 2010/03/20, I took Jade on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/03/20\", \"Jade\"], [\"where did I go for the date on 2010/03/20\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e188\", \"logical_representation\": [\"2010/03/20\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/03/20?\", \"15 minutes\"], [\"what did I read on 2010/03/20?\", \"a book\"], [\"Did I read on 2010/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/31\": {\"grocery\": {\"eid\": \"e30\", \"logical_representation\": [\"2010/03/31\", \"I went grocery shopping. I bought some apricots, peaches, raspberries, blackberries, orange juice, mineral water, and paper towel\", \"apricots, peaches, raspberries, blackberries\", \"orange juice, mineral water\", \"paper towel\", \"Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, peaches, raspberries, blackberries, orange juice, mineral water, and paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/03/31?\", \"apricots, peaches, raspberries, blackberries, orange juice, mineral water, and paper towel\"], [\"what fruits did I buy from the grocery store on 2010/03/31?\", \"apricots, peaches, raspberries, blackberries\"], [\"what drinks did I buy from the grocery store on 2010/03/31?\", \"orange juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2010/03/31?\", \"paper towel\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e204\", \"logical_representation\": [\"2010/03/31\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/03/31?\", \"33 minutes\"], [\"what did I read on 2010/03/31?\", \"social media\"], [\"Did I read on 2010/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/03\": {\"hobbies\": {\"eid\": \"e31\", \"logical_representation\": [\"2010/04/03\", \"I spent some time learning a language on 2010/04/03.\", \"learning a language\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I spent some time learning a language on 2010/04/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2010/04/03\"], [\"On 2010/04/03, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}}, \"2010/04/22\": {\"grocery\": {\"eid\": \"e32\", \"logical_representation\": [\"2010/04/22\", \"I went grocery shopping with Emily, Andrew. I bought some pineapples, milk, chocolate milk, pineapple juice, and shaving cream, mouthwash, toothpaste, paper towel\", \"pineapples\", \"milk, chocolate milk, pineapple juice\", \"shaving cream, mouthwash, toothpaste, paper towel\", \"Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping with Emily, Andrew. I bought some pineapples, milk, chocolate milk, pineapple juice, and shaving cream, mouthwash, toothpaste, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/04/22?\", \"pineapples, milk, chocolate milk, pineapple juice, and shaving cream, mouthwash, toothpaste, paper towel\"], [\"what fruits did I buy from the grocery store on 2010/04/22?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2010/04/22?\", \"milk, chocolate milk, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2010/04/22?\", \"shaving cream, mouthwash, toothpaste, paper towel\"], [\"who was with me at the grocery store on 2010/04/22?\", \"Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e226\", \"logical_representation\": [\"2010/04/22\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/04/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e227\", \"logical_representation\": [\"2010/04/22\", \"a movie\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/22?\", \"54 minutes\"], [\"what did I watch on tv on 2010/04/22?\", \"a movie\"], [\"Did I watch tv on 2010/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/12\": {\"grocery\": {\"eid\": \"e33\", \"logical_representation\": [\"2010/05/12\", \"I went grocery shopping with Benjamin, Willow. I bought some blackberries, apple juice, and body lotion\", \"blackberries\", \"apple juice\", \"body lotion\", \"Benjamin, Willow\"], \"text_template_based\": \"I went grocery shopping with Benjamin, Willow. I bought some blackberries, apple juice, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/05/12?\", \"blackberries, apple juice, and body lotion\"], [\"what fruits did I buy from the grocery store on 2010/05/12?\", \"blackberries\"], [\"what drinks did I buy from the grocery store on 2010/05/12?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2010/05/12?\", \"body lotion\"], [\"who was with me at the grocery store on 2010/05/12?\", \"Benjamin, Willow\"]], \"multihop_qa_pairs\": []}}, \"2010/05/27\": {\"grocery\": {\"eid\": \"e34\", \"logical_representation\": [\"2010/05/27\", \"I bought some clementines, apricots, sports drinks, guava juice, soda, apple juice, mouthwash from the grocery store. I saw Emily, Kayden at the grocery store.\", \"clementines, apricots\", \"sports drinks, guava juice, soda, apple juice\", \"mouthwash\", \"Emily, Kayden\"], \"text_template_based\": \"I bought some clementines, apricots, sports drinks, guava juice, soda, apple juice, mouthwash from the grocery store. I saw Emily, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/05/27?\", \"clementines, apricots, sports drinks, guava juice, soda, apple juice, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2010/05/27?\", \"clementines, apricots\"], [\"what drinks did I buy from the grocery store on 2010/05/27?\", \"sports drinks, guava juice, soda, apple juice\"], [\"what toiletries did I buy from the grocery store on 2010/05/27?\", \"mouthwash\"], [\"who did I see at the grocery store on 2010/05/27?\", \"Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e274\", \"logical_representation\": [\"2010/05/27\", \"Layla, Avery, Piper, Claire\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Layla, Avery, Piper, Claire for 33 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Piper, Claire in the late afternoon on 2010/05/27?\", \"33 minutes\"], [\"who did I talk to on 2010/05/27?\", \"Layla, Avery, Piper, Claire\"], [\"Did I talk to Layla, Avery, Piper, Claire on 2010/05/27?\", \"yes\"], [\"Did I talk to anyone on 2010/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e275\", \"logical_representation\": [\"2010/05/27\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/27?\", \"39 minutes\"], [\"what did I watch on tv on 2010/05/27?\", \"a movie\"], [\"Did I watch tv on 2010/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/31\": {\"hobbies\": {\"eid\": \"e35\", \"logical_representation\": [\"2010/05/31\", \"I spent time working out on 2010/05/31 with Avery, Willow.\", \"working out\", \"Avery, Willow\"], \"text_template_based\": \"I spent time working out on 2010/05/31 with Avery, Willow.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Avery, Willow?\", \"2010/05/31\"], [\"On 2010/05/31, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2010/05/31?\", \"Avery, Willow\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e279\", \"logical_representation\": [\"2010/05/31\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I watched a documentary for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/31?\", \"42 minutes\"], [\"what did I watch on tv on 2010/05/31?\", \"a documentary\"], [\"Did I watch tv on 2010/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/01\": {\"grocery\": {\"eid\": \"e36\", \"logical_representation\": [\"2010/06/01\", \"I went grocery shopping with Benjamin, Avery, Willow. I bought some bananas, mango juice, orange juice, and toothpaste, body lotion\", \"bananas\", \"mango juice, orange juice\", \"toothpaste, body lotion\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I went grocery shopping with Benjamin, Avery, Willow. I bought some bananas, mango juice, orange juice, and toothpaste, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/06/01?\", \"bananas, mango juice, orange juice, and toothpaste, body lotion\"], [\"what fruits did I buy from the grocery store on 2010/06/01?\", \"bananas\"], [\"what drinks did I buy from the grocery store on 2010/06/01?\", \"mango juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2010/06/01?\", \"toothpaste, body lotion\"], [\"who was with me at the grocery store on 2010/06/01?\", \"Benjamin, Avery, Willow\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e280\", \"logical_representation\": [\"2010/06/01\", \"Rylee\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee late in the evening on 2010/06/01?\", \"38 minutes\"], [\"who did I talk to on 2010/06/01?\", \"Rylee\"], [\"Did I talk to Rylee on 2010/06/01?\", \"yes\"], [\"Did I talk to anyone on 2010/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/09\": {\"grocery\": {\"eid\": \"e37\", \"logical_representation\": [\"2010/06/09\", \"I went grocery shopping with Piper, Eva, Olivia, Hazel, Claire, Avery, Lydia, Kinsley. I bought some clementines, pineapples, soda, mango juice, and facial wash, mouth wash\", \"clementines, pineapples\", \"soda, mango juice\", \"facial wash, mouth wash\", \"Piper, Eva, Olivia, Hazel, Claire, Avery, Lydia, Kinsley\"], \"text_template_based\": \"I went grocery shopping with Piper, Eva, Olivia, Hazel, Claire, Avery, Lydia, Kinsley. I bought some clementines, pineapples, soda, mango juice, and facial wash, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/06/09?\", \"clementines, pineapples, soda, mango juice, and facial wash, mouth wash\"], [\"what fruits did I buy from the grocery store on 2010/06/09?\", \"clementines, pineapples\"], [\"what drinks did I buy from the grocery store on 2010/06/09?\", \"soda, mango juice\"], [\"what toiletries did I buy from the grocery store on 2010/06/09?\", \"facial wash, mouth wash\"], [\"who was with me at the grocery store on 2010/06/09?\", \"Piper, Eva, Olivia, Hazel, Claire, Avery, Lydia, Kinsley\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e290\", \"logical_representation\": [\"2010/06/09\", \"lunch\", \"sushi\", \"Layla, Piper, Hazel, Rylee, Avery, Lydia, Nora\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/06/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e291\", \"logical_representation\": [\"2010/06/09\", \"dinner\", \"fish and chips\", \"Emily, Kayden\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/06/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2010/06/13\": {\"dating\": {\"eid\": \"e38\", \"logical_representation\": [\"2010/06/13\", \"Isabella\", \"a park\"], \"text_template_based\": \"I went on a date with Isabella on 2010/06/13 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/06/13\", \"Isabella\"], [\"where did I go for the date on 2010/06/13\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e295\", \"logical_representation\": [\"2010/06/13\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e296\", \"logical_representation\": [\"2010/06/13\", \"Piper\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Piper for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2010/06/13?\", \"36 minutes\"], [\"who did I talk to on 2010/06/13?\", \"Piper\"], [\"Did I talk to Piper on 2010/06/13?\", \"yes\"], [\"Did I talk to anyone on 2010/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/15\": {\"hobbies\": {\"eid\": \"e39\", \"logical_representation\": [\"2010/06/15\", \"I really enjoyed working out on 2010/06/15\", \"working out\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I really enjoyed working out on 2010/06/15\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2010/06/15\"], [\"On 2010/06/15, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e298\", \"logical_representation\": [\"2010/06/15\", \"breakfast\", \"pancakes\", \"Benjamin\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e299\", \"logical_representation\": [\"2010/06/15\", \"dinner\", \"tacos\", \"Carter, Emily\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/06/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e300\", \"logical_representation\": [\"2010/06/15\", \"Claire, Layla, Piper, Hazel\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Claire, Layla, Piper, Hazel for 40 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Piper, Hazel in the late afternoon on 2010/06/15?\", \"40 minutes\"], [\"who did I talk to on 2010/06/15?\", \"Claire, Layla, Piper, Hazel\"], [\"Did I talk to Claire, Layla, Piper, Hazel on 2010/06/15?\", \"yes\"], [\"Did I talk to anyone on 2010/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e301\", \"logical_representation\": [\"2010/06/15\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/06/15?\", \"28 minutes\"], [\"what did I read on 2010/06/15?\", \"news\"], [\"Did I read on 2010/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/17\": {\"grocery\": {\"eid\": \"e40\", \"logical_representation\": [\"2010/06/17\", \"I bought some clementines, pineapples, tea, pineapple juice, facial wash, toothbrush, body lotion, paper towel from the grocery store. I saw Kayden, Emily, Carter at the grocery store.\", \"clementines, pineapples\", \"tea, pineapple juice\", \"facial wash, toothbrush, body lotion, paper towel\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I bought some clementines, pineapples, tea, pineapple juice, facial wash, toothbrush, body lotion, paper towel from the grocery store. I saw Kayden, Emily, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/06/17?\", \"clementines, pineapples, tea, pineapple juice, and facial wash, toothbrush, body lotion, paper towel\"], [\"what fruits did I buy from the grocery store on 2010/06/17?\", \"clementines, pineapples\"], [\"what drinks did I buy from the grocery store on 2010/06/17?\", \"tea, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2010/06/17?\", \"facial wash, toothbrush, body lotion, paper towel\"], [\"who did I see at the grocery store on 2010/06/17?\", \"Kayden, Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e304\", \"logical_representation\": [\"2010/06/17\", \"lunch\", \"pasta\", \"Willow, Benjamin\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/06/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e305\", \"logical_representation\": [\"2010/06/17\", \"Eva, Rylee\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Eva, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee in the early afternoon on 2010/06/17?\", \"48 minutes\"], [\"who did I talk to on 2010/06/17?\", \"Eva, Rylee\"], [\"Did I talk to Eva, Rylee on 2010/06/17?\", \"yes\"], [\"Did I talk to anyone on 2010/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/20\": {\"grocery\": {\"eid\": \"e41\", \"logical_representation\": [\"2010/06/20\", \"I went grocery shopping with Nevaeh, Hazel, Piper. I bought some blackberries, chocolate milk, orange juice, coffee, mango juice, and conditioner, mouth wash\", \"blackberries\", \"chocolate milk, orange juice, coffee, mango juice\", \"conditioner, mouth wash\", \"Nevaeh, Hazel, Piper\"], \"text_template_based\": \"I went grocery shopping with Nevaeh, Hazel, Piper. I bought some blackberries, chocolate milk, orange juice, coffee, mango juice, and conditioner, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/06/20?\", \"blackberries, chocolate milk, orange juice, coffee, mango juice, and conditioner, mouth wash\"], [\"what fruits did I buy from the grocery store on 2010/06/20?\", \"blackberries\"], [\"what drinks did I buy from the grocery store on 2010/06/20?\", \"chocolate milk, orange juice, coffee, mango juice\"], [\"what toiletries did I buy from the grocery store on 2010/06/20?\", \"conditioner, mouth wash\"], [\"who was with me at the grocery store on 2010/06/20?\", \"Nevaeh, Hazel, Piper\"]], \"multihop_qa_pairs\": []}}, \"2010/06/22\": {\"grocery\": {\"eid\": \"e42\", \"logical_representation\": [\"2010/06/22\", \"I went grocery shopping. I bought some mandarins, cherres, nectarines, pears, orange juice, mineral water, and mouth wash\", \"mandarins, cherres, nectarines, pears\", \"orange juice, mineral water\", \"mouth wash\", \"Carter, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, cherres, nectarines, pears, orange juice, mineral water, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/06/22?\", \"mandarins, cherres, nectarines, pears, orange juice, mineral water, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2010/06/22?\", \"mandarins, cherres, nectarines, pears\"], [\"what drinks did I buy from the grocery store on 2010/06/22?\", \"orange juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2010/06/22?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e312\", \"logical_representation\": [\"2010/06/22\", \"breakfast\", \"cereals\", \"Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e313\", \"logical_representation\": [\"2010/06/22\", \"news\", \"31 minutes\"], \"text_template_based\": \"I watched news for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/22?\", \"31 minutes\"], [\"what did I watch on tv on 2010/06/22?\", \"news\"], [\"Did I watch tv on 2010/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/29\": {\"dating\": {\"eid\": \"e43\", \"logical_representation\": [\"2010/06/29\", \"James\", \"a boba shop\"], \"text_template_based\": \"On 2010/06/29, I took James on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/06/29\", \"James\"], [\"where did I go for the date on 2010/06/29\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e320\", \"logical_representation\": [\"2010/06/29\", \"Layla\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2010/06/29?\", \"52 minutes\"], [\"who did I talk to on 2010/06/29?\", \"Layla\"], [\"Did I talk to Layla on 2010/06/29?\", \"yes\"], [\"Did I talk to anyone on 2010/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/04\": {\"dating\": {\"eid\": \"e44\", \"logical_representation\": [\"2010/07/04\", \"Richard\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Richard on 2010/07/04 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/07/04\", \"Richard\"], [\"where did I go for the date on 2010/07/04\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e324\", \"logical_representation\": [\"2010/07/04\", \"breakfast\", \"cereals\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Emily, Andrew, Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/07/04?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for breakfast on 2010/07/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e325\", \"logical_representation\": [\"2010/07/04\", \"lunch\", \"fish and chips\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/07/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e326\", \"logical_representation\": [\"2010/07/04\", \"dinner\", \"indian food\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/07/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e327\", \"logical_representation\": [\"2010/07/04\", \"Rylee, Piper, Piper\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Rylee, Piper, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Piper in the late afternoon on 2010/07/04?\", \"44 minutes\"], [\"who did I talk to on 2010/07/04?\", \"Rylee, Piper, Piper\"], [\"Did I talk to Rylee, Piper, Piper on 2010/07/04?\", \"yes\"], [\"Did I talk to anyone on 2010/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e328\", \"logical_representation\": [\"2010/07/04\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/04?\", \"48 minutes\"], [\"what did I watch on tv on 2010/07/04?\", \"news\"], [\"Did I watch tv on 2010/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/08\": {\"dating\": {\"eid\": \"e45\", \"logical_representation\": [\"2010/07/08\", \"Jayden\", \"a restaurant\"], \"text_template_based\": \"On 2010/07/08, I took Jayden on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/07/08\", \"Jayden\"], [\"where did I go for the date on 2010/07/08\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e333\", \"logical_representation\": [\"2010/07/08\", \"breakfast\", \"toast and cheese\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e334\", \"logical_representation\": [\"2010/07/08\", \"dinner\", \"fish and chips\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/07/08?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2010/07/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e335\", \"logical_representation\": [\"2010/07/08\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/07/08?\", \"55 minutes\"], [\"what did I read on 2010/07/08?\", \"social media\"], [\"Did I read on 2010/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e336\", \"logical_representation\": [\"2010/07/08\", \"news\", \"16 minutes\"], \"text_template_based\": \"I watched news for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/08?\", \"16 minutes\"], [\"what did I watch on tv on 2010/07/08?\", \"news\"], [\"Did I watch tv on 2010/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/03\": {\"grocery\": {\"eid\": \"e46\", \"logical_representation\": [\"2010/07/03\", \"I bought some peaches, oranges, blackberries, mineral water, sports drinks, shaving cream, toothbrush, toothpaste from the grocery store. I saw Jackson, Benjamin, Avery, Willow at the grocery store.\", \"peaches, oranges, blackberries\", \"mineral water, sports drinks\", \"shaving cream, toothbrush, toothpaste\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I bought some peaches, oranges, blackberries, mineral water, sports drinks, shaving cream, toothbrush, toothpaste from the grocery store. I saw Jackson, Benjamin, Avery, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/07/03?\", \"peaches, oranges, blackberries, mineral water, sports drinks, and shaving cream, toothbrush, toothpaste\"], [\"what fruits did I buy from the grocery store on 2010/07/03?\", \"peaches, oranges, blackberries\"], [\"what drinks did I buy from the grocery store on 2010/07/03?\", \"mineral water, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2010/07/03?\", \"shaving cream, toothbrush, toothpaste\"], [\"who did I see at the grocery store on 2010/07/03?\", \"Jackson, Benjamin, Avery, Willow\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e322\", \"logical_representation\": [\"2010/07/03\", \"dinner\", \"a burger\", \"Rylee, Lydia, Nora, Eva, Kinsley, Avery, Piper, Claire, Layla, Olivia, Hazel\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/07/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e323\", \"logical_representation\": [\"2010/07/03\", \"Avery, Hazel, Nevaeh\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Avery, Hazel, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Nevaeh in the early afternoon on 2010/07/03?\", \"27 minutes\"], [\"who did I talk to on 2010/07/03?\", \"Avery, Hazel, Nevaeh\"], [\"Did I talk to Avery, Hazel, Nevaeh on 2010/07/03?\", \"yes\"], [\"Did I talk to anyone on 2010/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/09\": {\"grocery\": {\"eid\": \"e47\", \"logical_representation\": [\"2010/07/09\", \"I went grocery shopping with Emily, Kayden. I bought some guava, watermelons, strawberries, coffee, mineral water, and shaving cream, mouthwash, conditioner\", \"guava, watermelons, strawberries\", \"coffee, mineral water\", \"shaving cream, mouthwash, conditioner\", \"Emily, Kayden\"], \"text_template_based\": \"I went grocery shopping with Emily, Kayden. I bought some guava, watermelons, strawberries, coffee, mineral water, and shaving cream, mouthwash, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/07/09?\", \"guava, watermelons, strawberries, coffee, mineral water, and shaving cream, mouthwash, conditioner\"], [\"what fruits did I buy from the grocery store on 2010/07/09?\", \"guava, watermelons, strawberries\"], [\"what drinks did I buy from the grocery store on 2010/07/09?\", \"coffee, mineral water\"], [\"what toiletries did I buy from the grocery store on 2010/07/09?\", \"shaving cream, mouthwash, conditioner\"], [\"who was with me at the grocery store on 2010/07/09?\", \"Emily, Kayden\"]], \"multihop_qa_pairs\": []}}, \"2010/07/22\": {\"hobbies\": {\"eid\": \"e48\", \"logical_representation\": [\"2010/07/22\", \"I spent some time meditation on 2010/07/22.\", \"meditation\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I spent some time meditation on 2010/07/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2010/07/22\"], [\"On 2010/07/22, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e50\", \"logical_representation\": [\"2010/07/22\", \"I bought some apples, coffee, shaving cream, mouthwash online.\", \"apples\", \"coffee\", \"shaving cream, mouthwash\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I bought some apples, coffee, shaving cream, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/07/22?\", \"apples, coffee, and shaving cream, mouthwash\"], [\"what fruits did I buy online on 2010/07/22?\", \"apples\"], [\"what drinks did I buy online on 2010/07/22?\", \"coffee\"], [\"what toiletries did I buy online on 2010/07/22?\", \"shaving cream, mouthwash\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e359\", \"logical_representation\": [\"2010/07/22\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/22?\", \"48 minutes\"], [\"what did I watch on tv on 2010/07/22?\", \"a movie\"], [\"Did I watch tv on 2010/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/17\": {\"grocery\": {\"eid\": \"e49\", \"logical_representation\": [\"2010/07/17\", \"I went grocery shopping. I bought some apricots, oranges, raspberries, mangos, apple juice, mango juice, and mouthwash, toothbrush\", \"apricots, oranges, raspberries, mangos\", \"apple juice, mango juice\", \"mouthwash, toothbrush\", \"Carter, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, oranges, raspberries, mangos, apple juice, mango juice, and mouthwash, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/07/17?\", \"apricots, oranges, raspberries, mangos, apple juice, mango juice, and mouthwash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2010/07/17?\", \"apricots, oranges, raspberries, mangos\"], [\"what drinks did I buy from the grocery store on 2010/07/17?\", \"apple juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2010/07/17?\", \"mouthwash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e351\", \"logical_representation\": [\"2010/07/17\", \"biking\"], \"text_template_based\": \"I did biking on 2010/07/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/17?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2010/08/01\": {\"hobbies\": {\"eid\": \"e51\", \"logical_representation\": [\"2010/08/01\", \"I spent some time gardening on 2010/08/01.\", \"gardening\", \"Kayden, Emily\"], \"text_template_based\": \"I spent some time gardening on 2010/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2010/08/01\"], [\"On 2010/08/01, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}}, \"2010/08/03\": {\"hobbies\": {\"eid\": \"e52\", \"logical_representation\": [\"2010/08/03\", \"I spent some time gardening on 2010/08/03.\", \"gardening\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I spent some time gardening on 2010/08/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2010/08/03\"], [\"On 2010/08/03, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}}, \"2010/08/11\": {\"grocery\": {\"eid\": \"e53\", \"logical_representation\": [\"2010/08/11\", \"I bought some bananas, milk, pineapple juice, paper towel, mouthwash, shampoo online.\", \"bananas\", \"milk, pineapple juice\", \"paper towel, mouthwash, shampoo\", \"Eva\"], \"text_template_based\": \"I bought some bananas, milk, pineapple juice, paper towel, mouthwash, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/08/11?\", \"bananas, milk, pineapple juice, and paper towel, mouthwash, shampoo\"], [\"what fruits did I buy online on 2010/08/11?\", \"bananas\"], [\"what drinks did I buy online on 2010/08/11?\", \"milk, pineapple juice\"], [\"what toiletries did I buy online on 2010/08/11?\", \"paper towel, mouthwash, shampoo\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e386\", \"logical_representation\": [\"2010/08/11\", \"dinner\", \"chinese food\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e387\", \"logical_representation\": [\"2010/08/11\", \"Piper\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I talked to Piper for 29 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2010/08/11?\", \"29 minutes\"], [\"who did I talk to on 2010/08/11?\", \"Piper\"], [\"Did I talk to Piper on 2010/08/11?\", \"yes\"], [\"Did I talk to anyone on 2010/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e388\", \"logical_representation\": [\"2010/08/11\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/08/11?\", \"20 minutes\"], [\"what did I read on 2010/08/11?\", \"a book\"], [\"Did I read on 2010/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/13\": {\"dating\": {\"eid\": \"e54\", \"logical_representation\": [\"2010/08/13\", \"Elias\", \"a park\"], \"text_template_based\": \"I went on a date with Elias on 2010/08/13 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/08/13\", \"Elias\"], [\"where did I go for the date on 2010/08/13\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e391\", \"logical_representation\": [\"2010/08/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/08/13?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2010/08/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e392\", \"logical_representation\": [\"2010/08/13\", \"dinner\", \"a burger\", \"Piper, Nevaeh, Avery, Lydia, Kinsley, Layla, Rylee\"], \"text_template_based\": \"I had dinner with Piper, Nevaeh, Avery, Lydia, Kinsley, Layla, Rylee. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/08/13?\", \"Piper, Nevaeh, Avery, Lydia, Kinsley, Layla, Rylee\"], [\"what did I eat for dinner on 2010/08/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e393\", \"logical_representation\": [\"2010/08/13\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/08/13?\", \"50 minutes\"], [\"what did I read on 2010/08/13?\", \"social media\"], [\"Did I read on 2010/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e394\", \"logical_representation\": [\"2010/08/13\", \"a movie\", \"47 minutes\"], \"text_template_based\": \"I watched a movie for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/13?\", \"47 minutes\"], [\"what did I watch on tv on 2010/08/13?\", \"a movie\"], [\"Did I watch tv on 2010/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/18\": {\"dating\": {\"eid\": \"e55\", \"logical_representation\": [\"2010/08/18\", \"Aria\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Aria on 2010/08/18 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/08/18\", \"Aria\"], [\"where did I go for the date on 2010/08/18\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e400\", \"logical_representation\": [\"2010/08/18\", \"dinner\", \"sandwich\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e401\", \"logical_representation\": [\"2010/08/18\", \"Claire, Nevaeh, Kinsley, Piper\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Claire, Nevaeh, Kinsley, Piper for 15 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Kinsley, Piper in the late afternoon on 2010/08/18?\", \"15 minutes\"], [\"who did I talk to on 2010/08/18?\", \"Claire, Nevaeh, Kinsley, Piper\"], [\"Did I talk to Claire, Nevaeh, Kinsley, Piper on 2010/08/18?\", \"yes\"], [\"Did I talk to anyone on 2010/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e402\", \"logical_representation\": [\"2010/08/18\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/08/18?\", \"30 minutes\"], [\"what did I read on 2010/08/18?\", \"social media\"], [\"Did I read on 2010/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/16\": {\"grocery\": {\"eid\": \"e56\", \"logical_representation\": [\"2010/08/16\", \"I bought some nectarines, mandarins, cherres, tea, mango juice, sports drinks, body lotion, facial wash online.\", \"nectarines, mandarins, cherres\", \"tea, mango juice, sports drinks\", \"body lotion, facial wash\", \"Eva, Nora, Lydia, Claire, Piper\"], \"text_template_based\": \"I bought some nectarines, mandarins, cherres, tea, mango juice, sports drinks, body lotion, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/08/16?\", \"nectarines, mandarins, cherres, tea, mango juice, sports drinks, and body lotion, facial wash\"], [\"what fruits did I buy online on 2010/08/16?\", \"nectarines, mandarins, cherres\"], [\"what drinks did I buy online on 2010/08/16?\", \"tea, mango juice, sports drinks\"], [\"what toiletries did I buy online on 2010/08/16?\", \"body lotion, facial wash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e397\", \"logical_representation\": [\"2010/08/16\", \"lunch\", \"tacos\", \"Avery\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/08/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e398\", \"logical_representation\": [\"2010/08/16\", \"Layla, Rylee, Eva\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Layla, Rylee, Eva for 55 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Eva late in the evening on 2010/08/16?\", \"55 minutes\"], [\"who did I talk to on 2010/08/16?\", \"Layla, Rylee, Eva\"], [\"Did I talk to Layla, Rylee, Eva on 2010/08/16?\", \"yes\"], [\"Did I talk to anyone on 2010/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/23\": {\"dating\": {\"eid\": \"e57\", \"logical_representation\": [\"2010/08/23\", \"Athena\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Athena on 2010/08/23 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/08/23\", \"Athena\"], [\"where did I go for the date on 2010/08/23\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e408\", \"logical_representation\": [\"2010/08/23\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/08/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/23?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e409\", \"logical_representation\": [\"2010/08/23\", \"dinner\", \"fish and chips\", \"Nora, Layla, Claire, Lydia, Hazel, Nevaeh, Piper, Olivia, Kinsley, Rylee, Piper\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/08/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e410\", \"logical_representation\": [\"2010/08/23\", \"Claire, Layla, Piper, Hazel\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I talked to Claire, Layla, Piper, Hazel for 43 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Piper, Hazel late in the evening on 2010/08/23?\", \"43 minutes\"], [\"who did I talk to on 2010/08/23?\", \"Claire, Layla, Piper, Hazel\"], [\"Did I talk to Claire, Layla, Piper, Hazel on 2010/08/23?\", \"yes\"], [\"Did I talk to anyone on 2010/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e411\", \"logical_representation\": [\"2010/08/23\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/08/23?\", \"30 minutes\"], [\"what did I read on 2010/08/23?\", \"news\"], [\"Did I read on 2010/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/03\": {\"dating\": {\"eid\": \"e58\", \"logical_representation\": [\"2010/09/03\", \"Skylar\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Skylar on 2010/09/03 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/09/03\", \"Skylar\"], [\"where did I go for the date on 2010/09/03\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e428\", \"logical_representation\": [\"2010/09/03\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/09/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e429\", \"logical_representation\": [\"2010/09/03\", \"Nora, Olivia, Eva, Claire\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Nora, Olivia, Eva, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Eva, Claire during lunch hours on 2010/09/03?\", \"44 minutes\"], [\"who did I talk to on 2010/09/03?\", \"Nora, Olivia, Eva, Claire\"], [\"Did I talk to Nora, Olivia, Eva, Claire on 2010/09/03?\", \"yes\"], [\"Did I talk to anyone on 2010/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/16\": {\"grocery\": {\"eid\": \"e59\", \"logical_representation\": [\"2010/09/16\", \"I bought some mandarins, mangos, milk, mineral water, sports drinks, guava juice, conditioner, paper towel, shaving cream from the grocery store. I saw Carter at the grocery store.\", \"mandarins, mangos\", \"milk, mineral water, sports drinks, guava juice\", \"conditioner, paper towel, shaving cream\", \"Carter\"], \"text_template_based\": \"I bought some mandarins, mangos, milk, mineral water, sports drinks, guava juice, conditioner, paper towel, shaving cream from the grocery store. I saw Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/09/16?\", \"mandarins, mangos, milk, mineral water, sports drinks, guava juice, and conditioner, paper towel, shaving cream\"], [\"what fruits did I buy from the grocery store on 2010/09/16?\", \"mandarins, mangos\"], [\"what drinks did I buy from the grocery store on 2010/09/16?\", \"milk, mineral water, sports drinks, guava juice\"], [\"what toiletries did I buy from the grocery store on 2010/09/16?\", \"conditioner, paper towel, shaving cream\"], [\"who did I see at the grocery store on 2010/09/16?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e447\", \"logical_representation\": [\"2010/09/16\", \"Eva, Nora, Kinsley, Claire\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Eva, Nora, Kinsley, Claire for 10 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Kinsley, Claire in the early evening on 2010/09/16?\", \"10 minutes\"], [\"who did I talk to on 2010/09/16?\", \"Eva, Nora, Kinsley, Claire\"], [\"Did I talk to Eva, Nora, Kinsley, Claire on 2010/09/16?\", \"yes\"], [\"Did I talk to anyone on 2010/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/17\": {\"hobbies\": {\"eid\": \"e60\", \"logical_representation\": [\"2010/09/17\", \"I really enjoyed meditation on 2010/09/17\", \"meditation\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I really enjoyed meditation on 2010/09/17\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2010/09/17\"], [\"On 2010/09/17, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e448\", \"logical_representation\": [\"2010/09/17\", \"dinner\", \"tacos\", \"Kinsley, Hazel, Eva, Piper\"], \"text_template_based\": \"I had tacos for dinner with Kinsley, Hazel, Eva, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/09/17?\", \"Kinsley, Hazel, Eva, Piper\"], [\"what did I eat for dinner on 2010/09/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e449\", \"logical_representation\": [\"2010/09/17\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I watched a documentary for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/17?\", \"36 minutes\"], [\"what did I watch on tv on 2010/09/17?\", \"a documentary\"], [\"Did I watch tv on 2010/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/29\": {\"hobbies\": {\"eid\": \"e61\", \"logical_representation\": [\"2010/09/29\", \"I really enjoyed gardening on 2010/09/29\", \"gardening\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I really enjoyed gardening on 2010/09/29\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2010/09/29\"], [\"On 2010/09/29, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e471\", \"logical_representation\": [\"2010/09/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Piper, Claire, Piper, Layla, Nora, Hazel, Avery, Kinsley, Olivia, Lydia, Eva\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/09/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2010/10/15\": {\"hobbies\": {\"eid\": \"e62\", \"logical_representation\": [\"2010/10/15\", \"I spent some time learning a language on 2010/10/15.\", \"learning a language\", \"Emily, Andrew\"], \"text_template_based\": \"I spent some time learning a language on 2010/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2010/10/15\"], [\"On 2010/10/15, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e489\", \"logical_representation\": [\"2010/10/15\", \"lunch\", \"steak\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e490\", \"logical_representation\": [\"2010/10/15\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/10/15?\", \"37 minutes\"], [\"what did I read on 2010/10/15?\", \"a book\"], [\"Did I read on 2010/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/16\": {\"grocery\": {\"eid\": \"e63\", \"logical_representation\": [\"2010/10/16\", \"I bought some pears, mandarins, oranges, coffee, apple juice, orange juice, conditioner, shaving cream from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"pears, mandarins, oranges\", \"coffee, apple juice, orange juice\", \"conditioner, shaving cream\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I bought some pears, mandarins, oranges, coffee, apple juice, orange juice, conditioner, shaving cream from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/10/16?\", \"pears, mandarins, oranges, coffee, apple juice, orange juice, and conditioner, shaving cream\"], [\"what fruits did I buy from the grocery store on 2010/10/16?\", \"pears, mandarins, oranges\"], [\"what drinks did I buy from the grocery store on 2010/10/16?\", \"coffee, apple juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2010/10/16?\", \"conditioner, shaving cream\"], [\"who did I see at the grocery store on 2010/10/16?\", \"Emily, Kayden, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e491\", \"logical_representation\": [\"2010/10/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/10/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e492\", \"logical_representation\": [\"2010/10/16\", \"dinner\", \"fish and chips\", \"Layla, Piper, Eva, Kinsley, Avery, Hazel, Nora, Lydia, Piper, Rylee, Nevaeh\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/10/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e493\", \"logical_representation\": [\"2010/10/16\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/10/16?\", \"46 minutes\"], [\"what did I read on 2010/10/16?\", \"a book\"], [\"Did I read on 2010/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e494\", \"logical_representation\": [\"2010/10/16\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/16?\", \"26 minutes\"], [\"what did I watch on tv on 2010/10/16?\", \"a documentary\"], [\"Did I watch tv on 2010/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/27\": {\"dating\": {\"eid\": \"e64\", \"logical_representation\": [\"2010/10/27\", \"Leonardo\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Leonardo on 2010/10/27 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/10/27\", \"Leonardo\"], [\"where did I go for the date on 2010/10/27\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e510\", \"logical_representation\": [\"2010/10/27\", \"dinner\", \"pasta\", \"Kinsley, Nora\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/10/27\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2010/10/31\": {\"dating\": {\"eid\": \"e65\", \"logical_representation\": [\"2010/10/31\", \"Aaliyah\", \"a coffee Shop\"], \"text_template_based\": \"On 2010/10/31, I took Aaliyah on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/10/31\", \"Aaliyah\"], [\"where did I go for the date on 2010/10/31\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e513\", \"logical_representation\": [\"2010/10/31\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/10/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/31?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e514\", \"logical_representation\": [\"2010/10/31\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/10/31?\", \"53 minutes\"], [\"what did I read on 2010/10/31?\", \"a book\"], [\"Did I read on 2010/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/03\": {\"grocery\": {\"eid\": \"e66\", \"logical_representation\": [\"2010/11/03\", \"I bought some nectarines, watermelons, mandarins, orange juice, milk, chocolate milk, toilet paper, toothpaste, conditioner, shampoo online.\", \"nectarines, watermelons, mandarins\", \"orange juice, milk, chocolate milk\", \"toilet paper, toothpaste, conditioner, shampoo\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I bought some nectarines, watermelons, mandarins, orange juice, milk, chocolate milk, toilet paper, toothpaste, conditioner, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/11/03?\", \"nectarines, watermelons, mandarins, orange juice, milk, chocolate milk, and toilet paper, toothpaste, conditioner, shampoo\"], [\"what fruits did I buy online on 2010/11/03?\", \"nectarines, watermelons, mandarins\"], [\"what drinks did I buy online on 2010/11/03?\", \"orange juice, milk, chocolate milk\"], [\"what toiletries did I buy online on 2010/11/03?\", \"toilet paper, toothpaste, conditioner, shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e519\", \"logical_representation\": [\"2010/11/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/11/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e520\", \"logical_representation\": [\"2010/11/03\", \"dinner\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/03\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2010/11/10\": {\"grocery\": {\"eid\": \"e67\", \"logical_representation\": [\"2010/11/10\", \"I went grocery shopping. I bought some mangos, strawberries, watermelons, blackberries, apple juice, coffee, and conditioner\", \"mangos, strawberries, watermelons, blackberries\", \"apple juice, coffee\", \"conditioner\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, strawberries, watermelons, blackberries, apple juice, coffee, and conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/11/10?\", \"mangos, strawberries, watermelons, blackberries, apple juice, coffee, and conditioner\"], [\"what fruits did I buy from the grocery store on 2010/11/10?\", \"mangos, strawberries, watermelons, blackberries\"], [\"what drinks did I buy from the grocery store on 2010/11/10?\", \"apple juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2010/11/10?\", \"conditioner\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e526\", \"logical_representation\": [\"2010/11/10\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I watched a documentary for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/10?\", \"17 minutes\"], [\"what did I watch on tv on 2010/11/10?\", \"a documentary\"], [\"Did I watch tv on 2010/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/20\": {\"dating\": {\"eid\": \"e68\", \"logical_representation\": [\"2010/11/20\", \"Anthony\", \"a coffee Shop\"], \"text_template_based\": \"On 2010/11/20, I took Anthony on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/11/20\", \"Anthony\"], [\"where did I go for the date on 2010/11/20\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}}, \"2010/11/29\": {\"hobbies\": {\"eid\": \"e69\", \"logical_representation\": [\"2010/11/29\", \"I spent some time meditation on 2010/11/29.\", \"meditation\", \"Hazel, Piper\"], \"text_template_based\": \"I spent some time meditation on 2010/11/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2010/11/29\"], [\"On 2010/11/29, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}}, \"2010/12/05\": {\"dating\": {\"eid\": \"e70\", \"logical_representation\": [\"2010/12/05\", \"Ava\", \"a park\"], \"text_template_based\": \"I went on a date with Ava on 2010/12/05 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/12/05\", \"Ava\"], [\"where did I go for the date on 2010/12/05\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e554\", \"logical_representation\": [\"2010/12/05\", \"breakfast\", \"cereals\", \"Jackson\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/05\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e555\", \"logical_representation\": [\"2010/12/05\", \"a documentary\", \"21 minutes\"], \"text_template_based\": \"I watched a documentary for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/05?\", \"21 minutes\"], [\"what did I watch on tv on 2010/12/05?\", \"a documentary\"], [\"Did I watch tv on 2010/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/03\": {\"hobbies\": {\"eid\": \"e71\", \"logical_representation\": [\"2010/12/03\", \"I spent time gardening on 2010/12/03 with Kayden, Carter.\", \"gardening\", \"Kayden, Carter\"], \"text_template_based\": \"I spent time gardening on 2010/12/03 with Kayden, Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Kayden, Carter?\", \"2010/12/03\"], [\"On 2010/12/03, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2010/12/03?\", \"Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e549\", \"logical_representation\": [\"2010/12/03\", \"Nora, Eva, Nevaeh\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I talked to Nora, Eva, Nevaeh for 22 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Nevaeh late in the evening on 2010/12/03?\", \"22 minutes\"], [\"who did I talk to on 2010/12/03?\", \"Nora, Eva, Nevaeh\"], [\"Did I talk to Nora, Eva, Nevaeh on 2010/12/03?\", \"yes\"], [\"Did I talk to anyone on 2010/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/08\": {\"grocery\": {\"eid\": \"e72\", \"logical_representation\": [\"2010/12/08\", \"I bought some apricots, mandarins, soda, pineapple juice, toothpaste, shampoo, paper towel online.\", \"apricots, mandarins\", \"soda, pineapple juice\", \"toothpaste, shampoo, paper towel\", \"Hazel, Eva, Piper, Avery, Lydia, Layla, Nevaeh, Rylee, Nora, Olivia\"], \"text_template_based\": \"I bought some apricots, mandarins, soda, pineapple juice, toothpaste, shampoo, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/12/08?\", \"apricots, mandarins, soda, pineapple juice, and 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\"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Layla in the morning on 2010/12/12?\", \"20 minutes\"], [\"who did I talk to on 2010/12/12?\", \"Kinsley, Nevaeh, Layla\"], [\"Did I talk to Kinsley, Nevaeh, Layla on 2010/12/12?\", \"yes\"], [\"Did I talk to anyone on 2010/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e564\", \"logical_representation\": [\"2010/12/12\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/12?\", \"30 minutes\"], [\"what did I watch on tv on 2010/12/12?\", \"news\"], [\"Did I watch tv on 2010/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/14\": {\"grocery\": {\"eid\": \"e74\", \"logical_representation\": [\"2010/12/14\", \"I bought some cherres, apples, watermelons, apricots, chocolate milk, shampoo, toilet paper from the grocery store. I saw Claire, Eva at the grocery store.\", \"cherres, apples, watermelons, apricots\", \"chocolate milk\", \"shampoo, toilet paper\", \"Claire, Eva\"], \"text_template_based\": \"I bought some cherres, apples, watermelons, apricots, chocolate milk, shampoo, toilet paper from the grocery store. I saw Claire, Eva at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/12/14?\", \"cherres, apples, watermelons, apricots, chocolate milk, and shampoo, toilet paper\"], [\"what fruits did I buy from the grocery store on 2010/12/14?\", \"cherres, apples, watermelons, apricots\"], [\"what drinks did I buy from the grocery store on 2010/12/14?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2010/12/14?\", \"shampoo, toilet paper\"], [\"who did I see at the grocery store on 2010/12/14?\", \"Claire, Eva\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e566\", \"logical_representation\": [\"2010/12/14\", \"breakfast\", \"oatmeal\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Emily, Kayden. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/12/14?\", \"Emily, Kayden\"], [\"what did I eat for breakfast on 2010/12/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e567\", \"logical_representation\": [\"2010/12/14\", \"lunch\", \"sushi\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/12/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e568\", \"logical_representation\": [\"2010/12/14\", \"dinner\", \"steak\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/12/14\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/12/20\": {\"dating\": {\"eid\": \"e75\", \"logical_representation\": [\"2010/12/20\", \"Jace\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Jace on 2010/12/20 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2010/12/20\", \"Jace\"], [\"where did I go for the date on 2010/12/20\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e76\", \"logical_representation\": [\"2010/12/20\", \"I bought some oranges, sports drinks, orange juice, mouthwash, facial wash, shampoo, conditioner online.\", \"oranges\", \"sports drinks, orange juice\", \"mouthwash, facial wash, shampoo, conditioner\", \"Nora, Piper, Piper, Eva\"], \"text_template_based\": \"I bought some oranges, sports drinks, orange juice, mouthwash, facial wash, shampoo, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2010/12/20?\", \"oranges, sports drinks, orange juice, and mouthwash, facial wash, shampoo, conditioner\"], [\"what fruits did I buy online on 2010/12/20?\", \"oranges\"], [\"what drinks did I buy online on 2010/12/20?\", \"sports drinks, orange juice\"], [\"what toiletries did I buy online on 2010/12/20?\", \"mouthwash, facial wash, shampoo, conditioner\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e576\", \"logical_representation\": [\"2010/12/20\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/12/20?\", \"13 minutes\"], [\"what did I read on 2010/12/20?\", \"social media\"], [\"Did I read on 2010/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/27\": {\"grocery\": {\"eid\": \"e77\", \"logical_representation\": [\"2010/12/27\", \"I bought some raspberries, clementines, peaches, mineral water, soda, sports drinks, orange juice, toilet paper, shampoo from the grocery store. I saw Nora, Rylee, Piper, Piper at the grocery store.\", \"raspberries, clementines, peaches\", \"mineral water, soda, sports drinks, orange juice\", \"toilet paper, shampoo\", \"Nora, Rylee, Piper, Piper\"], \"text_template_based\": \"I bought some raspberries, clementines, peaches, mineral water, soda, sports drinks, orange juice, toilet paper, shampoo from the grocery store. I saw Nora, Rylee, Piper, Piper at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2010/12/27?\", \"raspberries, clementines, peaches, mineral water, soda, sports drinks, orange juice, and toilet paper, shampoo\"], [\"what fruits did I buy from the grocery store on 2010/12/27?\", \"raspberries, clementines, peaches\"], [\"what drinks did I buy from the grocery store on 2010/12/27?\", \"mineral water, soda, sports drinks, orange juice\"], [\"what toiletries did I buy from the grocery store on 2010/12/27?\", \"toilet paper, shampoo\"], [\"who did I see at the grocery store on 2010/12/27?\", \"Nora, Rylee, Piper, Piper\"]], \"multihop_qa_pairs\": []}}, \"2010/01/03\": {\"dinner\": {\"eid\": \"e81\", \"logical_representation\": [\"2010/01/03\", \"dinner\", \"chinese food\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2010/01/04\": {\"chat0\": {\"eid\": \"e82\", \"logical_representation\": [\"2010/01/04\", \"Piper, Olivia, Lydia, Piper\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia, Lydia, Piper for 11 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Lydia, Piper late in the evening on 2010/01/04?\", \"11 minutes\"], [\"who did I talk to on 2010/01/04?\", \"Piper, Olivia, Lydia, Piper\"], [\"Did I talk to Piper, Olivia, Lydia, Piper on 2010/01/04?\", \"yes\"], [\"Did I talk to anyone on 2010/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/05\": {\"breakfast\": {\"eid\": \"e83\", \"logical_representation\": [\"2010/01/05\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I had cereals for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/01/05?\", \"Emily\"], [\"what did I eat for breakfast on 2010/01/05\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2010/01/07\": {\"exercise\": {\"eid\": \"e84\", \"logical_representation\": [\"2010/01/07\", \"running\"], \"text_template_based\": \"I did running on 2010/01/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/07?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e85\", \"logical_representation\": [\"2010/01/07\", \"Piper, Claire, Hazel, Kinsley\", \"late in the evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Hazel, Kinsley for 23 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Hazel, Kinsley late in the evening on 2010/01/07?\", \"23 minutes\"], [\"who did I talk to on 2010/01/07?\", \"Piper, Claire, Hazel, Kinsley\"], [\"Did I talk to Piper, Claire, Hazel, Kinsley on 2010/01/07?\", \"yes\"], [\"Did I talk to anyone on 2010/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/08\": {\"lunch\": {\"eid\": \"e86\", \"logical_representation\": [\"2010/01/08\", \"lunch\", \"indian food\", \"Nora, Olivia, Piper, Hazel, Claire, Nevaeh, Layla\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/08\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2010/01/09\": {\"exercise\": {\"eid\": \"e87\", \"logical_representation\": [\"2010/01/09\", \"biking\"], \"text_template_based\": \"I did biking on 2010/01/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e88\", \"logical_representation\": [\"2010/01/09\", \"breakfast\", \"cereals\", \"Hazel, Rylee, Piper, Nora, Avery, Eva, Nevaeh, Claire, Lydia, Olivia, Layla, Kinsley\"], \"text_template_based\": \"I had cereals for breakfast with Hazel, Rylee, Piper, Nora, Avery, Eva, Nevaeh, Claire, Lydia, Olivia, Layla, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/01/09?\", \"Hazel, Rylee, Piper, Nora, Avery, Eva, Nevaeh, Claire, Lydia, Olivia, Layla, Kinsley\"], [\"what did I eat for breakfast on 2010/01/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e89\", \"logical_representation\": [\"2010/01/09\", \"lunch\", \"sushi\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e90\", \"logical_representation\": [\"2010/01/09\", \"dinner\", \"chinese food\", \"Kayden, Carter\"], \"text_template_based\": \"I had chinese food for dinner with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/01/09?\", \"Kayden, Carter\"], [\"what did I eat for dinner on 2010/01/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e91\", \"logical_representation\": [\"2010/01/09\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/01/09?\", \"21 minutes\"], [\"what did I read on 2010/01/09?\", \"social media\"], [\"Did I read on 2010/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/10\": {\"exercise\": {\"eid\": \"e92\", \"logical_representation\": [\"2010/01/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/01/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e93\", \"logical_representation\": [\"2010/01/10\", \"dinner\", \"pasta\", \"Nevaeh, Avery, Hazel, Olivia, Nora, Rylee\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/10\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2010/01/11\": {\"chat0\": {\"eid\": \"e94\", \"logical_representation\": [\"2010/01/11\", \"Nevaeh, Piper, Olivia, Eva\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Olivia, Eva for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Olivia, Eva late in the evening on 2010/01/11?\", \"37 minutes\"], [\"who did I talk to on 2010/01/11?\", \"Nevaeh, Piper, Olivia, Eva\"], [\"Did I talk to Nevaeh, Piper, Olivia, Eva on 2010/01/11?\", \"yes\"], [\"Did I talk to anyone on 2010/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/12\": {\"exercise\": {\"eid\": \"e95\", \"logical_representation\": [\"2010/01/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/01/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e96\", \"logical_representation\": [\"2010/01/12\", \"Nora\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I talked to Nora for 47 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2010/01/12?\", \"47 minutes\"], [\"who did I talk to on 2010/01/12?\", \"Nora\"], [\"Did I talk to Nora on 2010/01/12?\", \"yes\"], [\"Did I talk to anyone on 2010/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/15\": {\"watch tv\": {\"eid\": \"e99\", \"logical_representation\": [\"2010/01/15\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/15?\", \"17 minutes\"], [\"what did I watch on tv on 2010/01/15?\", \"a movie\"], [\"Did I watch tv on 2010/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/16\": {\"chat0\": {\"eid\": \"e100\", \"logical_representation\": [\"2010/01/16\", \"Olivia, Kinsley, Hazel, Nora\", \"late in the evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley, Hazel, Nora for 50 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Hazel, Nora late in the evening on 2010/01/16?\", \"50 minutes\"], [\"who did I talk to on 2010/01/16?\", \"Olivia, Kinsley, Hazel, Nora\"], [\"Did I talk to Olivia, Kinsley, Hazel, Nora on 2010/01/16?\", \"yes\"], [\"Did I talk to anyone on 2010/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e101\", \"logical_representation\": [\"2010/01/16\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I watched a documentary for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/16?\", \"16 minutes\"], [\"what did I watch on tv on 2010/01/16?\", \"a documentary\"], [\"Did I watch tv on 2010/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/17\": {\"exercise\": {\"eid\": \"e102\", \"logical_representation\": [\"2010/01/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/01/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2010/01/19\": {\"read\": {\"eid\": \"e103\", \"logical_representation\": [\"2010/01/19\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/01/19?\", \"53 minutes\"], [\"what did I read on 2010/01/19?\", \"a book\"], [\"Did I read on 2010/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/21\": {\"breakfast\": {\"eid\": \"e104\", \"logical_representation\": [\"2010/01/21\", \"breakfast\", \"pancakes\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/01/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e105\", \"logical_representation\": [\"2010/01/21\", \"lunch\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/01/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e106\", \"logical_representation\": [\"2010/01/21\", \"Nevaeh, Piper, Olivia\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Nevaeh, Piper, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Olivia in the late afternoon on 2010/01/21?\", \"11 minutes\"], [\"who did I talk to on 2010/01/21?\", \"Nevaeh, Piper, Olivia\"], [\"Did I talk to Nevaeh, Piper, Olivia on 2010/01/21?\", \"yes\"], [\"Did I talk to anyone on 2010/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e107\", \"logical_representation\": [\"2010/01/21\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/01/21?\", \"38 minutes\"], [\"what did I read on 2010/01/21?\", \"a book\"], [\"Did I read on 2010/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/23\": {\"exercise\": {\"eid\": \"e111\", \"logical_representation\": [\"2010/01/23\", \"running\"], \"text_template_based\": \"I did running on 2010/01/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e112\", \"logical_representation\": [\"2010/01/23\", \"lunch\", \"steak\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Andrew, Emily, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/01/23?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for lunch on 2010/01/23\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/01/24\": {\"exercise\": {\"eid\": \"e113\", \"logical_representation\": [\"2010/01/24\", \"running\"], \"text_template_based\": \"I did running on 2010/01/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/24?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2010/01/25\": {\"exercise\": {\"eid\": \"e114\", \"logical_representation\": [\"2010/01/25\", \"running\"], \"text_template_based\": \"I did running on 2010/01/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/01/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e115\", \"logical_representation\": [\"2010/01/25\", \"breakfast\", \"oatmeal\", \"Olivia, Piper, Avery, Nevaeh, Claire, Lydia, Nora, Piper, Rylee, Eva, Layla, Kinsley\"], \"text_template_based\": \"I had oatmeal for breakfast with Olivia, Piper, Avery, Nevaeh, Claire, Lydia, Nora, Piper, Rylee, Eva, Layla, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/01/25?\", \"Olivia, Piper, Avery, Nevaeh, Claire, Lydia, Nora, Piper, Rylee, Eva, Layla, Kinsley\"], [\"what did I eat for breakfast on 2010/01/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e116\", \"logical_representation\": [\"2010/01/25\", \"dinner\", \"indian food\", \"Benjamin, Avery\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e117\", \"logical_representation\": [\"2010/01/25\", \"Piper, Olivia\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia for 40 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the late afternoon on 2010/01/25?\", \"40 minutes\"], [\"who did I talk to on 2010/01/25?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2010/01/25?\", \"yes\"], [\"Did I talk to anyone on 2010/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/26\": {\"dinner\": {\"eid\": \"e118\", \"logical_representation\": [\"2010/01/26\", \"dinner\", \"chinese food\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e119\", \"logical_representation\": [\"2010/01/26\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/01/26?\", \"8 minutes\"], [\"what did I read on 2010/01/26?\", \"a book\"], [\"Did I read on 2010/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/27\": {\"breakfast\": {\"eid\": \"e120\", \"logical_representation\": [\"2010/01/27\", \"breakfast\", \"pancakes\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/01/27?\", \"Kayden, Carter\"], [\"what did I eat for breakfast on 2010/01/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/28\": {\"chat0\": {\"eid\": \"e121\", \"logical_representation\": [\"2010/01/28\", \"Lydia, Piper, Hazel, Nevaeh\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Lydia, Piper, Hazel, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Hazel, Nevaeh in the early afternoon on 2010/01/28?\", \"21 minutes\"], [\"who did I talk to on 2010/01/28?\", \"Lydia, Piper, Hazel, Nevaeh\"], [\"Did I talk to Lydia, Piper, Hazel, Nevaeh on 2010/01/28?\", \"yes\"], [\"Did I talk to anyone on 2010/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e122\", \"logical_representation\": [\"2010/01/28\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/01/28?\", \"29 minutes\"], [\"what did I read on 2010/01/28?\", \"news\"], [\"Did I read on 2010/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e123\", \"logical_representation\": [\"2010/01/28\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/01/28?\", \"12 minutes\"], [\"what did I watch on tv on 2010/01/28?\", \"a tv series\"], [\"Did I watch tv on 2010/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/01/30\": {\"lunch\": {\"eid\": \"e124\", \"logical_representation\": [\"2010/01/30\", \"lunch\", \"tacos\", \"Layla, Piper, Lydia, Eva, Claire, Rylee\"], \"text_template_based\": \"I had tacos for lunch with Layla, Piper, Lydia, Eva, Claire, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/01/30?\", \"Layla, Piper, Lydia, Eva, Claire, Rylee\"], [\"what did I eat for lunch on 2010/01/30\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2010/01/31\": {\"dinner\": {\"eid\": \"e125\", \"logical_representation\": [\"2010/01/31\", \"dinner\", \"a burger\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/01/31\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2010/02/05\": {\"chat0\": {\"eid\": \"e127\", \"logical_representation\": [\"2010/02/05\", \"Rylee\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Rylee for 18 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2010/02/05?\", \"18 minutes\"], [\"who did I talk to on 2010/02/05?\", \"Rylee\"], [\"Did I talk to Rylee on 2010/02/05?\", \"yes\"], [\"Did I talk to anyone on 2010/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/06\": {\"breakfast\": {\"eid\": \"e128\", \"logical_representation\": [\"2010/02/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/02/06?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2010/02/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e129\", \"logical_representation\": [\"2010/02/06\", \"Lydia, Piper\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Lydia, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper in the early evening on 2010/02/06?\", \"18 minutes\"], [\"who did I talk to on 2010/02/06?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2010/02/06?\", \"yes\"], [\"Did I talk to anyone on 2010/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e130\", \"logical_representation\": [\"2010/02/06\", \"a documentary\", \"41 minutes\"], \"text_template_based\": \"I watched a documentary for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/06?\", \"41 minutes\"], [\"what did I watch on tv on 2010/02/06?\", \"a documentary\"], [\"Did I watch tv on 2010/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/07\": {\"breakfast\": {\"eid\": \"e131\", \"logical_representation\": [\"2010/02/07\", \"breakfast\", \"cereals\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/02/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e132\", \"logical_representation\": [\"2010/02/07\", \"Nora, Nevaeh, Lydia\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Nora, Nevaeh, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Lydia during lunch hours on 2010/02/07?\", \"35 minutes\"], [\"who did I talk to on 2010/02/07?\", \"Nora, Nevaeh, Lydia\"], [\"Did I talk to Nora, Nevaeh, Lydia on 2010/02/07?\", \"yes\"], [\"Did I talk to anyone on 2010/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/11\": {\"exercise\": {\"eid\": \"e136\", \"logical_representation\": [\"2010/02/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/02/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/02/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e137\", \"logical_representation\": [\"2010/02/11\", \"lunch\", \"tacos\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had tacos for lunch with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/02/11?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2010/02/11\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2010/02/19\": {\"dinner\": {\"eid\": \"e144\", \"logical_representation\": [\"2010/02/19\", \"dinner\", \"sushi\", \"Lydia, Piper, Rylee, Avery\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/02/19\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2010/02/21\": {\"lunch\": {\"eid\": \"e146\", \"logical_representation\": [\"2010/02/21\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/02/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e147\", \"logical_representation\": [\"2010/02/21\", \"dinner\", \"sushi\", \"Rylee, Hazel, Piper, Nora, Layla\"], \"text_template_based\": \"I had sushi for dinner with Rylee, Hazel, Piper, Nora, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/02/21?\", \"Rylee, Hazel, Piper, Nora, Layla\"], [\"what did I eat for dinner on 2010/02/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e148\", \"logical_representation\": [\"2010/02/21\", \"Piper, Layla, Piper\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Piper for 11 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Piper during lunch hours on 2010/02/21?\", \"11 minutes\"], [\"who did I talk to on 2010/02/21?\", \"Piper, Layla, Piper\"], [\"Did I talk to Piper, Layla, Piper on 2010/02/21?\", \"yes\"], [\"Did I talk to anyone on 2010/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e149\", \"logical_representation\": [\"2010/02/21\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/21?\", \"22 minutes\"], [\"what did I watch on tv on 2010/02/21?\", \"news\"], [\"Did I watch tv on 2010/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/22\": {\"lunch\": {\"eid\": \"e150\", \"logical_representation\": [\"2010/02/22\", \"lunch\", \"a burger\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had a burger for lunch with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/02/22?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2010/02/22\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2010/02/23\": {\"lunch\": {\"eid\": \"e151\", \"logical_representation\": [\"2010/02/23\", \"lunch\", \"steak\", \"Jackson, Avery\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/02/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e152\", \"logical_representation\": [\"2010/02/23\", \"Claire, Nora, Avery\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Avery for 54 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Avery in the early afternoon on 2010/02/23?\", \"54 minutes\"], [\"who did I talk to on 2010/02/23?\", \"Claire, Nora, Avery\"], [\"Did I talk to Claire, Nora, Avery on 2010/02/23?\", \"yes\"], [\"Did I talk to anyone on 2010/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/24\": {\"chat0\": {\"eid\": \"e153\", \"logical_representation\": [\"2010/02/24\", \"Rylee, Layla, Claire\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Rylee, Layla, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla, Claire in the early afternoon on 2010/02/24?\", \"51 minutes\"], [\"who did I talk to on 2010/02/24?\", \"Rylee, Layla, Claire\"], [\"Did I talk to Rylee, Layla, Claire on 2010/02/24?\", \"yes\"], [\"Did I talk to anyone on 2010/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/25\": {\"chat0\": {\"eid\": \"e154\", \"logical_representation\": [\"2010/02/25\", \"Piper, Eva, Claire, Avery\", \"in the early evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Claire, Avery for 45 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Claire, Avery in the early evening on 2010/02/25?\", \"45 minutes\"], [\"who did I talk to on 2010/02/25?\", \"Piper, Eva, Claire, Avery\"], [\"Did I talk to Piper, Eva, Claire, Avery on 2010/02/25?\", \"yes\"], [\"Did I talk to anyone on 2010/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e155\", \"logical_representation\": [\"2010/02/25\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/02/25?\", \"52 minutes\"], [\"what did I watch on tv on 2010/02/25?\", \"a documentary\"], [\"Did I watch tv on 2010/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/26\": {\"dinner\": {\"eid\": \"e156\", \"logical_representation\": [\"2010/02/26\", \"dinner\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/02/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e157\", \"logical_representation\": [\"2010/02/26\", \"Hazel\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I talked to Hazel for 25 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2010/02/26?\", \"25 minutes\"], [\"who did I talk to on 2010/02/26?\", \"Hazel\"], [\"Did I talk to Hazel on 2010/02/26?\", \"yes\"], [\"Did I talk to anyone on 2010/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e158\", \"logical_representation\": [\"2010/02/26\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/02/26?\", \"55 minutes\"], [\"what did I read on 2010/02/26?\", \"a book\"], [\"Did I read on 2010/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/27\": {\"breakfast\": {\"eid\": \"e159\", \"logical_representation\": [\"2010/02/27\", \"breakfast\", \"pancakes\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Emily, Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/02/27?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2010/02/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2010/02/28\": {\"breakfast\": {\"eid\": \"e160\", \"logical_representation\": [\"2010/02/28\", \"breakfast\", \"pancakes\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/02/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e161\", \"logical_representation\": [\"2010/02/28\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/02/28?\", \"30 minutes\"], [\"what did I read on 2010/02/28?\", \"social media\"], [\"Did I read on 2010/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/01\": {\"lunch\": {\"eid\": \"e162\", \"logical_representation\": [\"2010/03/01\", \"lunch\", \"chinese food\", \"Avery, Piper, Layla, Lydia, Eva\"], \"text_template_based\": \"I had lunch with Avery, Piper, Layla, Lydia, Eva. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/03/01?\", \"Avery, Piper, Layla, Lydia, Eva\"], [\"what did I eat for lunch on 2010/03/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e163\", \"logical_representation\": [\"2010/03/01\", \"dinner\", \"fish and chips\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e164\", \"logical_representation\": [\"2010/03/01\", \"Kinsley, Claire, Eva\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire, Eva for 34 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Eva late in the evening on 2010/03/01?\", \"34 minutes\"], [\"who did I talk to on 2010/03/01?\", \"Kinsley, Claire, Eva\"], [\"Did I talk to Kinsley, Claire, Eva on 2010/03/01?\", \"yes\"], [\"Did I talk to anyone on 2010/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/02\": {\"dinner\": {\"eid\": \"e165\", \"logical_representation\": [\"2010/03/02\", \"dinner\", \"tacos\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e166\", \"logical_representation\": [\"2010/03/02\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/03/02?\", \"43 minutes\"], [\"what did I read on 2010/03/02?\", \"a book\"], [\"Did I read on 2010/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/03\": {\"read\": {\"eid\": \"e167\", \"logical_representation\": [\"2010/03/03\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/03/03?\", \"16 minutes\"], [\"what did I read on 2010/03/03?\", \"news\"], [\"Did I read on 2010/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/04\": {\"dinner\": {\"eid\": \"e168\", \"logical_representation\": [\"2010/03/04\", \"dinner\", \"steak\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Carter, Andrew. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/03/04?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2010/03/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e169\", \"logical_representation\": [\"2010/03/04\", \"Claire, Eva, Avery\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Claire, Eva, Avery for 20 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Avery late in the evening on 2010/03/04?\", \"20 minutes\"], [\"who did I talk to on 2010/03/04?\", \"Claire, Eva, Avery\"], [\"Did I talk to Claire, Eva, Avery on 2010/03/04?\", \"yes\"], [\"Did I talk to anyone on 2010/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/07\": {\"exercise\": {\"eid\": \"e173\", \"logical_representation\": [\"2010/03/07\", \"biking\"], \"text_template_based\": \"I did biking on 2010/03/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/07?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e174\", \"logical_representation\": [\"2010/03/07\", \"dinner\", \"steak\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/07\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/03/08\": {\"lunch\": {\"eid\": \"e175\", \"logical_representation\": [\"2010/03/08\", \"lunch\", \"chinese food\", \"Carter, Emily\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2010/03/12\": {\"chat0\": {\"eid\": \"e178\", \"logical_representation\": [\"2010/03/12\", \"Hazel\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I talked to Hazel for 25 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2010/03/12?\", \"25 minutes\"], [\"who did I talk to on 2010/03/12?\", \"Hazel\"], [\"Did I talk to Hazel on 2010/03/12?\", \"yes\"], [\"Did I talk to anyone on 2010/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/14\": {\"dinner\": {\"eid\": \"e180\", \"logical_representation\": [\"2010/03/14\", \"dinner\", \"sushi\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e181\", \"logical_representation\": [\"2010/03/14\", \"Olivia, Nevaeh, Layla, Avery\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Olivia, Nevaeh, Layla, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh, Layla, Avery in the early afternoon on 2010/03/14?\", \"21 minutes\"], [\"who did I talk to on 2010/03/14?\", \"Olivia, Nevaeh, Layla, Avery\"], [\"Did I talk to Olivia, Nevaeh, Layla, Avery on 2010/03/14?\", \"yes\"], [\"Did I talk to anyone on 2010/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/16\": {\"lunch\": {\"eid\": \"e182\", \"logical_representation\": [\"2010/03/16\", \"lunch\", \"sandwich\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had sandwich for lunch with Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/03/16?\", \"Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2010/03/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e183\", \"logical_representation\": [\"2010/03/16\", \"dinner\", \"indian food\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/16\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2010/03/17\": {\"exercise\": {\"eid\": \"e184\", \"logical_representation\": [\"2010/03/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/03/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/03/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e185\", \"logical_representation\": [\"2010/03/17\", \"Nevaeh, Eva\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva for 11 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva in the morning on 2010/03/17?\", \"11 minutes\"], [\"who did I talk to on 2010/03/17?\", \"Nevaeh, Eva\"], [\"Did I talk to Nevaeh, Eva on 2010/03/17?\", \"yes\"], [\"Did I talk to anyone on 2010/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/18\": {\"lunch\": {\"eid\": \"e186\", \"logical_representation\": [\"2010/03/18\", \"lunch\", \"fish and chips\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had fish and chips for lunch with Emily, Carter, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/03/18?\", \"Emily, Carter, Andrew, Kayden\"], [\"what did I eat for lunch on 2010/03/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e187\", \"logical_representation\": [\"2010/03/18\", \"dinner\", \"chinese food\", \"Piper, Piper, Lydia, Rylee, Nevaeh, Claire, Layla, Eva, Nora\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2010/03/22\": {\"dinner\": {\"eid\": \"e189\", \"logical_representation\": [\"2010/03/22\", \"dinner\", \"chinese food\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e190\", \"logical_representation\": [\"2010/03/22\", \"Hazel, Avery, Piper\", \"in the morning\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Hazel, Avery, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Piper in the morning on 2010/03/22?\", \"34 minutes\"], [\"who did I talk to on 2010/03/22?\", \"Hazel, Avery, Piper\"], [\"Did I talk to Hazel, Avery, Piper on 2010/03/22?\", \"yes\"], [\"Did I talk to anyone on 2010/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/23\": {\"chat0\": {\"eid\": \"e191\", \"logical_representation\": [\"2010/03/23\", \"Layla\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2010/03/23?\", \"13 minutes\"], [\"who did I talk to on 2010/03/23?\", \"Layla\"], [\"Did I talk to Layla on 2010/03/23?\", \"yes\"], [\"Did I talk to anyone on 2010/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e192\", \"logical_representation\": [\"2010/03/23\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/03/23?\", \"46 minutes\"], [\"what did I read on 2010/03/23?\", \"a book\"], [\"Did I read on 2010/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/24\": {\"lunch\": {\"eid\": \"e193\", \"logical_representation\": [\"2010/03/24\", \"lunch\", \"sushi\", \"Lydia\"], \"text_template_based\": \"I had sushi for lunch with Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/03/24?\", \"Lydia\"], [\"what did I eat for lunch on 2010/03/24\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2010/03/25\": {\"lunch\": {\"eid\": \"e194\", \"logical_representation\": [\"2010/03/25\", \"lunch\", \"fish and chips\", \"Eva, Layla, Lydia, Avery, Claire, Piper, Nevaeh\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/03/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e195\", \"logical_representation\": [\"2010/03/25\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/03/25?\", \"53 minutes\"], [\"what did I read on 2010/03/25?\", \"a book\"], [\"Did I read on 2010/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/26\": {\"lunch\": {\"eid\": \"e196\", \"logical_representation\": [\"2010/03/26\", \"lunch\", \"sushi\", \"Andrew, Kayden\"], \"text_template_based\": \"I had sushi for lunch with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/03/26?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2010/03/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e197\", \"logical_representation\": [\"2010/03/26\", \"dinner\", \"a burger\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/03/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e198\", \"logical_representation\": [\"2010/03/26\", \"Piper\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2010/03/26?\", \"27 minutes\"], [\"who did I talk to on 2010/03/26?\", \"Piper\"], [\"Did I talk to Piper on 2010/03/26?\", \"yes\"], [\"Did I talk to anyone on 2010/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/27\": {\"chat0\": {\"eid\": \"e199\", \"logical_representation\": [\"2010/03/27\", \"Rylee, Olivia, Claire, Avery\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Rylee, Olivia, Claire, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia, Claire, Avery in the late afternoon on 2010/03/27?\", \"7 minutes\"], [\"who did I talk to on 2010/03/27?\", \"Rylee, Olivia, Claire, Avery\"], [\"Did I talk to Rylee, Olivia, Claire, Avery on 2010/03/27?\", \"yes\"], [\"Did I talk to anyone on 2010/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/28\": {\"read\": {\"eid\": \"e200\", \"logical_representation\": [\"2010/03/28\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/03/28?\", \"44 minutes\"], [\"what did I read on 2010/03/28?\", \"news\"], [\"Did I read on 2010/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/29\": {\"lunch\": {\"eid\": \"e201\", \"logical_representation\": [\"2010/03/29\", \"lunch\", \"sandwich\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had lunch with Avery, Jackson, Willow, Benjamin. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/03/29?\", \"Avery, Jackson, Willow, Benjamin\"], [\"what did I eat for lunch on 2010/03/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e202\", \"logical_representation\": [\"2010/03/29\", \"Piper\", \"in the early evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2010/03/29?\", \"45 minutes\"], [\"who did I talk to on 2010/03/29?\", \"Piper\"], [\"Did I talk to Piper on 2010/03/29?\", \"yes\"], [\"Did I talk to anyone on 2010/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/03/30\": {\"chat0\": {\"eid\": \"e203\", \"logical_representation\": [\"2010/03/30\", \"Piper, Rylee\", \"during lunch hours\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Piper, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee during lunch hours on 2010/03/30?\", \"15 minutes\"], [\"who did I talk to on 2010/03/30?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2010/03/30?\", \"yes\"], [\"Did I talk to anyone on 2010/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/01\": {\"lunch\": {\"eid\": \"e205\", \"logical_representation\": [\"2010/04/01\", \"lunch\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/01\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2010/04/04\": {\"lunch\": {\"eid\": \"e206\", \"logical_representation\": [\"2010/04/04\", \"lunch\", \"steak\", \"Avery, Benjamin\"], \"text_template_based\": \"I had lunch with Avery, Benjamin. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/04/04?\", \"Avery, Benjamin\"], [\"what did I eat for lunch on 2010/04/04\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/04/06\": {\"watch tv\": {\"eid\": \"e207\", \"logical_representation\": [\"2010/04/06\", \"a movie\", \"27 minutes\"], \"text_template_based\": \"I watched a movie for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/06?\", \"27 minutes\"], [\"what did I watch on tv on 2010/04/06?\", \"a movie\"], [\"Did I watch tv on 2010/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/07\": {\"lunch\": {\"eid\": \"e208\", \"logical_representation\": [\"2010/04/07\", \"lunch\", \"a burger\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had lunch with Jackson, Benjamin, Willow. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/04/07?\", \"Jackson, Benjamin, Willow\"], [\"what did I eat for lunch on 2010/04/07\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2010/04/08\": {\"watch tv\": {\"eid\": \"e209\", \"logical_representation\": [\"2010/04/08\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I watched a tv series for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/08?\", \"34 minutes\"], [\"what did I watch on tv on 2010/04/08?\", \"a tv series\"], [\"Did I watch tv on 2010/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/11\": {\"exercise\": {\"eid\": \"e210\", \"logical_representation\": [\"2010/04/11\", \"biking\"], \"text_template_based\": \"I did biking on 2010/04/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e211\", \"logical_representation\": [\"2010/04/11\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/04/11\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2010/04/12\": {\"exercise\": {\"eid\": \"e212\", \"logical_representation\": [\"2010/04/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/04/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/04/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2010/04/13\": {\"breakfast\": {\"eid\": \"e213\", \"logical_representation\": [\"2010/04/13\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Kinsley, Layla, Nora, Nevaeh, Olivia, Avery, Piper, Claire, Lydia\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/04/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e214\", \"logical_representation\": [\"2010/04/13\", \"lunch\", \"pasta\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e215\", \"logical_representation\": [\"2010/04/13\", \"Piper\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I talked to Piper for 49 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2010/04/13?\", \"49 minutes\"], [\"who did I talk to on 2010/04/13?\", \"Piper\"], [\"Did I talk to Piper on 2010/04/13?\", \"yes\"], [\"Did I talk to anyone on 2010/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e216\", \"logical_representation\": [\"2010/04/13\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/13?\", \"50 minutes\"], [\"what did I watch on tv on 2010/04/13?\", \"a movie\"], [\"Did I watch tv on 2010/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/14\": {\"breakfast\": {\"eid\": \"e217\", \"logical_representation\": [\"2010/04/14\", \"breakfast\", \"cereals\", \"Rylee, Nora, Hazel, Layla, Avery, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/04/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e218\", \"logical_representation\": [\"2010/04/14\", \"a documentary\", \"14 minutes\"], \"text_template_based\": \"I watched a documentary for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/14?\", \"14 minutes\"], [\"what did I watch on tv on 2010/04/14?\", \"a documentary\"], [\"Did I watch tv on 2010/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/16\": {\"lunch\": {\"eid\": \"e219\", \"logical_representation\": [\"2010/04/16\", \"lunch\", \"fish and chips\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2010/04/17\": {\"dinner\": {\"eid\": \"e220\", \"logical_representation\": [\"2010/04/17\", \"dinner\", \"tacos\", \"Nevaeh, Olivia, Layla\"], \"text_template_based\": \"I had tacos for dinner with Nevaeh, Olivia, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/04/17?\", \"Nevaeh, Olivia, Layla\"], [\"what did I eat for dinner on 2010/04/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e221\", \"logical_representation\": [\"2010/04/17\", \"Lydia, Nevaeh, Piper, Kinsley\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Lydia, Nevaeh, Piper, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Piper, Kinsley during lunch hours on 2010/04/17?\", \"17 minutes\"], [\"who did I talk to on 2010/04/17?\", \"Lydia, Nevaeh, Piper, Kinsley\"], [\"Did I talk to Lydia, Nevaeh, Piper, Kinsley on 2010/04/17?\", \"yes\"], [\"Did I talk to anyone on 2010/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/18\": {\"social media\": {\"eid\": \"e222\", \"logical_representation\": [\"2010/04/18\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/04/18?\", \"54 minutes\"], [\"what did I read on 2010/04/18?\", \"social media\"], [\"Did I read on 2010/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/19\": {\"lunch\": {\"eid\": \"e223\", \"logical_representation\": [\"2010/04/19\", \"lunch\", \"steak\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had steak for lunch with Benjamin, Willow, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/04/19?\", \"Benjamin, Willow, Jackson, Avery\"], [\"what did I eat for lunch on 2010/04/19\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/04/20\": {\"lunch\": {\"eid\": \"e224\", \"logical_representation\": [\"2010/04/20\", \"lunch\", \"sushi\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/20\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2010/04/21\": {\"dinner\": {\"eid\": \"e225\", \"logical_representation\": [\"2010/04/21\", \"dinner\", \"tacos\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/04/21\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2010/04/23\": {\"dinner\": {\"eid\": \"e228\", \"logical_representation\": [\"2010/04/23\", \"dinner\", \"a burger\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/04/23\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2010/04/24\": {\"lunch\": {\"eid\": \"e229\", \"logical_representation\": [\"2010/04/24\", \"lunch\", \"pasta\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/04/24\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2010/04/25\": {\"watch tv\": {\"eid\": \"e230\", \"logical_representation\": [\"2010/04/25\", \"a documentary\", \"15 minutes\"], \"text_template_based\": \"I watched a documentary for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/25?\", \"15 minutes\"], [\"what did I watch on tv on 2010/04/25?\", \"a documentary\"], [\"Did I watch tv on 2010/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/26\": {\"chat0\": {\"eid\": \"e231\", \"logical_representation\": [\"2010/04/26\", \"Piper, Avery, Hazel, Nora\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Piper, Avery, Hazel, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Hazel, Nora during lunch hours on 2010/04/26?\", \"39 minutes\"], [\"who did I talk to on 2010/04/26?\", \"Piper, Avery, Hazel, Nora\"], [\"Did I talk to Piper, Avery, Hazel, Nora on 2010/04/26?\", \"yes\"], [\"Did I talk to anyone on 2010/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/28\": {\"chat0\": {\"eid\": \"e232\", \"logical_representation\": [\"2010/04/28\", \"Piper\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Piper for 46 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2010/04/28?\", \"46 minutes\"], [\"who did I talk to on 2010/04/28?\", \"Piper\"], [\"Did I talk to Piper on 2010/04/28?\", \"yes\"], [\"Did I talk to anyone on 2010/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e233\", \"logical_representation\": [\"2010/04/28\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/04/28?\", \"15 minutes\"], [\"what did I read on 2010/04/28?\", \"a book\"], [\"Did I read on 2010/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/29\": {\"chat0\": {\"eid\": \"e234\", \"logical_representation\": [\"2010/04/29\", \"Piper, Claire, Hazel\", \"in the morning\", \"28 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Hazel for 28 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Hazel in the morning on 2010/04/29?\", \"28 minutes\"], [\"who did I talk to on 2010/04/29?\", \"Piper, Claire, Hazel\"], [\"Did I talk to Piper, Claire, Hazel on 2010/04/29?\", \"yes\"], [\"Did I talk to anyone on 2010/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/04/30\": {\"watch tv\": {\"eid\": \"e235\", \"logical_representation\": [\"2010/04/30\", \"news\", \"9 minutes\"], \"text_template_based\": \"I watched news for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/04/30?\", \"9 minutes\"], [\"what did I watch on tv on 2010/04/30?\", \"news\"], [\"Did I watch tv on 2010/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/01\": {\"social media\": {\"eid\": \"e236\", \"logical_representation\": [\"2010/05/01\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/05/01?\", \"23 minutes\"], [\"what did I read on 2010/05/01?\", \"social media\"], [\"Did I read on 2010/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/02\": {\"dinner\": {\"eid\": \"e237\", \"logical_representation\": [\"2010/05/02\", \"dinner\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e238\", \"logical_representation\": [\"2010/05/02\", \"Rylee, Piper\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Rylee, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper during lunch hours on 2010/05/02?\", \"46 minutes\"], [\"who did I talk to on 2010/05/02?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2010/05/02?\", \"yes\"], [\"Did I talk to anyone on 2010/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/03\": {\"chat0\": {\"eid\": \"e239\", \"logical_representation\": [\"2010/05/03\", \"Eva\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I talked to Eva for 46 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the late afternoon on 2010/05/03?\", \"46 minutes\"], [\"who did I talk to on 2010/05/03?\", \"Eva\"], [\"Did I talk to Eva on 2010/05/03?\", \"yes\"], [\"Did I talk to anyone on 2010/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e240\", \"logical_representation\": [\"2010/05/03\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I watched a documentary for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/03?\", \"37 minutes\"], [\"what did I watch on tv on 2010/05/03?\", \"a documentary\"], [\"Did I watch tv on 2010/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/04\": {\"social media\": {\"eid\": \"e241\", \"logical_representation\": [\"2010/05/04\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/05/04?\", \"40 minutes\"], [\"what did I read on 2010/05/04?\", \"social media\"], [\"Did I read on 2010/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/05\": {\"lunch\": {\"eid\": \"e242\", \"logical_representation\": [\"2010/05/05\", \"lunch\", \"fish and chips\", \"Benjamin\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e243\", \"logical_representation\": [\"2010/05/05\", \"dinner\", \"sandwich\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had sandwich for dinner with Emily, Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/05/05?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2010/05/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2010/05/06\": {\"exercise\": {\"eid\": \"e244\", \"logical_representation\": [\"2010/05/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/05/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e245\", \"logical_representation\": [\"2010/05/06\", \"breakfast\", \"cereals\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/05/06\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2010/05/07\": {\"chat0\": {\"eid\": \"e246\", \"logical_representation\": [\"2010/05/07\", \"Piper, Hazel\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel for 11 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel during lunch hours on 2010/05/07?\", \"11 minutes\"], [\"who did I talk to on 2010/05/07?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2010/05/07?\", \"yes\"], [\"Did I talk to anyone on 2010/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/08\": {\"breakfast\": {\"eid\": \"e247\", \"logical_representation\": [\"2010/05/08\", \"breakfast\", \"oatmeal\", \"Olivia, Claire, Avery, Piper, Nevaeh, Eva\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/05/08\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e248\", \"logical_representation\": [\"2010/05/08\", \"Kinsley, Lydia\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia late in the evening on 2010/05/08?\", \"18 minutes\"], [\"who did I talk to on 2010/05/08?\", \"Kinsley, Lydia\"], [\"Did I talk to Kinsley, Lydia on 2010/05/08?\", \"yes\"], [\"Did I talk to anyone on 2010/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/10\": {\"chat0\": {\"eid\": \"e249\", \"logical_representation\": [\"2010/05/10\", \"Piper, Nora, Olivia, Kinsley\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Piper, Nora, Olivia, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Olivia, Kinsley in the early afternoon on 2010/05/10?\", \"8 minutes\"], [\"who did I talk to on 2010/05/10?\", \"Piper, Nora, Olivia, Kinsley\"], [\"Did I talk to Piper, Nora, Olivia, Kinsley on 2010/05/10?\", \"yes\"], [\"Did I talk to anyone on 2010/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/11\": {\"lunch\": {\"eid\": \"e250\", \"logical_representation\": [\"2010/05/11\", \"lunch\", \"pasta\", \"Nevaeh, Rylee, Piper, Claire, Eva, Nora, Piper\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/11\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2010/05/13\": {\"breakfast\": {\"eid\": \"e251\", \"logical_representation\": [\"2010/05/13\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/05/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e252\", \"logical_representation\": [\"2010/05/13\", \"dinner\", \"a burger\", \"Benjamin\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e253\", \"logical_representation\": [\"2010/05/13\", \"Avery, Eva, Hazel, Olivia\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Avery, Eva, Hazel, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Hazel, Olivia late in the evening on 2010/05/13?\", \"33 minutes\"], [\"who did I talk to on 2010/05/13?\", \"Avery, Eva, Hazel, Olivia\"], [\"Did I talk to Avery, Eva, Hazel, Olivia on 2010/05/13?\", \"yes\"], [\"Did I talk to anyone on 2010/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/14\": {\"exercise\": {\"eid\": \"e254\", \"logical_representation\": [\"2010/05/14\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/05/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/14?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e255\", \"logical_representation\": [\"2010/05/14\", \"Claire, Lydia\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Claire, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia in the early afternoon on 2010/05/14?\", \"46 minutes\"], [\"who did I talk to on 2010/05/14?\", \"Claire, Lydia\"], [\"Did I talk to Claire, Lydia on 2010/05/14?\", \"yes\"], [\"Did I talk to anyone on 2010/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/15\": {\"dinner\": {\"eid\": \"e256\", \"logical_representation\": [\"2010/05/15\", \"dinner\", \"pasta\", \"Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e257\", \"logical_representation\": [\"2010/05/15\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/05/15?\", \"8 minutes\"], [\"what did I read on 2010/05/15?\", \"social media\"], [\"Did I read on 2010/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/17\": {\"exercise\": {\"eid\": \"e258\", \"logical_representation\": [\"2010/05/17\", \"biking\"], \"text_template_based\": \"I did biking on 2010/05/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e259\", \"logical_representation\": [\"2010/05/17\", \"Avery, Hazel, Nevaeh\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Avery, Hazel, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Nevaeh late in the evening on 2010/05/17?\", \"18 minutes\"], [\"who did I talk to on 2010/05/17?\", \"Avery, Hazel, Nevaeh\"], [\"Did I talk to Avery, Hazel, Nevaeh on 2010/05/17?\", \"yes\"], [\"Did I talk to anyone on 2010/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/18\": {\"lunch\": {\"eid\": \"e260\", \"logical_representation\": [\"2010/05/18\", \"lunch\", \"tacos\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e261\", \"logical_representation\": [\"2010/05/18\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/05/18?\", \"37 minutes\"], [\"what did I read on 2010/05/18?\", \"a book\"], [\"Did I read on 2010/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/20\": {\"exercise\": {\"eid\": \"e262\", \"logical_representation\": [\"2010/05/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/05/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/05/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e263\", \"logical_representation\": [\"2010/05/20\", \"lunch\", \"sandwich\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had lunch with Carter, Kayden, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/05/20?\", \"Carter, Kayden, Emily\"], [\"what did I eat for lunch on 2010/05/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e264\", \"logical_representation\": [\"2010/05/20\", \"Hazel, Avery, Kinsley, Eva\", \"in the early afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Hazel, Avery, Kinsley, Eva for 14 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Kinsley, Eva in the early afternoon on 2010/05/20?\", \"14 minutes\"], [\"who did I talk to on 2010/05/20?\", \"Hazel, Avery, Kinsley, Eva\"], [\"Did I talk to Hazel, Avery, Kinsley, Eva on 2010/05/20?\", \"yes\"], [\"Did I talk to anyone on 2010/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e265\", \"logical_representation\": [\"2010/05/20\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I watched a documentary for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/20?\", \"20 minutes\"], [\"what did I watch on tv on 2010/05/20?\", \"a documentary\"], [\"Did I watch tv on 2010/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/21\": {\"dinner\": {\"eid\": \"e266\", \"logical_representation\": [\"2010/05/21\", \"dinner\", \"tacos\", \"Lydia, Nevaeh, Nora, Eva, Claire, Olivia, Piper\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e267\", \"logical_representation\": [\"2010/05/21\", \"Rylee, Layla, Olivia\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Rylee, Layla, Olivia for 11 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla, Olivia late in the evening on 2010/05/21?\", \"11 minutes\"], [\"who did I talk to on 2010/05/21?\", \"Rylee, Layla, Olivia\"], [\"Did I talk to Rylee, Layla, Olivia on 2010/05/21?\", \"yes\"], [\"Did I talk to anyone on 2010/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/22\": {\"chat0\": {\"eid\": \"e268\", \"logical_representation\": [\"2010/05/22\", \"Kinsley, Eva, Hazel, Piper\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Kinsley, Eva, Hazel, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Hazel, Piper in the morning on 2010/05/22?\", \"9 minutes\"], [\"who did I talk to on 2010/05/22?\", \"Kinsley, Eva, Hazel, Piper\"], [\"Did I talk to Kinsley, Eva, Hazel, Piper on 2010/05/22?\", \"yes\"], [\"Did I talk to anyone on 2010/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/23\": {\"watch tv\": {\"eid\": \"e269\", \"logical_representation\": [\"2010/05/23\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/05/23?\", \"26 minutes\"], [\"what did I watch on tv on 2010/05/23?\", \"a documentary\"], [\"Did I watch tv on 2010/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/24\": {\"lunch\": {\"eid\": \"e270\", \"logical_representation\": [\"2010/05/24\", \"lunch\", \"a burger\", \"Claire, Layla, Olivia, Rylee\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/05/24\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e271\", \"logical_representation\": [\"2010/05/24\", \"dinner\", \"indian food\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/05/24\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e272\", \"logical_representation\": [\"2010/05/24\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/05/24?\", \"52 minutes\"], [\"what did I read on 2010/05/24?\", \"news\"], [\"Did I read on 2010/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/25\": {\"social media\": {\"eid\": \"e273\", \"logical_representation\": [\"2010/05/25\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/05/25?\", \"8 minutes\"], [\"what did I read on 2010/05/25?\", \"social media\"], [\"Did I read on 2010/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/05/28\": {\"dinner\": {\"eid\": \"e276\", \"logical_representation\": [\"2010/05/28\", \"dinner\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/05/28?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2010/05/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2010/05/29\": {\"lunch\": {\"eid\": \"e277\", \"logical_representation\": [\"2010/05/29\", \"lunch\", \"indian food\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/05/29?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2010/05/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e278\", \"logical_representation\": [\"2010/05/29\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/05/29?\", \"47 minutes\"], [\"what did I read on 2010/05/29?\", \"a book\"], [\"Did I read on 2010/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/02\": {\"chat0\": {\"eid\": \"e281\", \"logical_representation\": [\"2010/06/02\", \"Eva, Nora, Olivia, Lydia\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Eva, Nora, Olivia, Lydia for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Olivia, Lydia in the early afternoon on 2010/06/02?\", \"42 minutes\"], [\"who did I talk to on 2010/06/02?\", \"Eva, Nora, Olivia, Lydia\"], [\"Did I talk to Eva, Nora, Olivia, Lydia on 2010/06/02?\", \"yes\"], [\"Did I talk to anyone on 2010/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e282\", \"logical_representation\": [\"2010/06/02\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/06/02?\", \"54 minutes\"], [\"what did I read on 2010/06/02?\", \"social media\"], [\"Did I read on 2010/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/03\": {\"exercise\": {\"eid\": \"e283\", \"logical_representation\": [\"2010/06/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/06/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e284\", \"logical_representation\": [\"2010/06/03\", \"dinner\", \"pasta\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had pasta for dinner with Carter, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/06/03?\", \"Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2010/06/03\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2010/06/05\": {\"breakfast\": {\"eid\": \"e285\", \"logical_representation\": [\"2010/06/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Piper, Nora, Kinsley, Nevaeh, Olivia, Layla, Lydia, Rylee\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e286\", \"logical_representation\": [\"2010/06/05\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/06/05?\", \"11 minutes\"], [\"what did I read on 2010/06/05?\", \"news\"], [\"Did I read on 2010/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/06\": {\"dinner\": {\"eid\": \"e287\", \"logical_representation\": [\"2010/06/06\", \"dinner\", \"chinese food\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/06/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2010/06/07\": {\"lunch\": {\"eid\": \"e288\", \"logical_representation\": [\"2010/06/07\", \"lunch\", \"fish and chips\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/06/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2010/06/08\": {\"watch tv\": {\"eid\": \"e289\", \"logical_representation\": [\"2010/06/08\", \"a tv series\", \"14 minutes\"], \"text_template_based\": \"I watched a tv series for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/08?\", \"14 minutes\"], [\"what did I watch on tv on 2010/06/08?\", \"a tv series\"], [\"Did I watch tv on 2010/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/10\": {\"watch tv\": {\"eid\": \"e292\", \"logical_representation\": [\"2010/06/10\", \"news\", \"10 minutes\"], \"text_template_based\": \"I watched news for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/10?\", \"10 minutes\"], [\"what did I watch on tv on 2010/06/10?\", \"news\"], [\"Did I watch tv on 2010/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/11\": {\"chat0\": {\"eid\": \"e293\", \"logical_representation\": [\"2010/06/11\", \"Avery, Kinsley, Nevaeh\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Avery, Kinsley, Nevaeh for 12 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley, Nevaeh late in the evening on 2010/06/11?\", \"12 minutes\"], [\"who did I talk to on 2010/06/11?\", \"Avery, Kinsley, Nevaeh\"], [\"Did I talk to Avery, Kinsley, Nevaeh on 2010/06/11?\", \"yes\"], [\"Did I talk to anyone on 2010/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/12\": {\"watch tv\": {\"eid\": \"e294\", \"logical_representation\": [\"2010/06/12\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/12?\", \"38 minutes\"], [\"what did I watch on tv on 2010/06/12?\", \"news\"], [\"Did I watch tv on 2010/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/14\": {\"watch tv\": {\"eid\": \"e297\", \"logical_representation\": [\"2010/06/14\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I watched a movie for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/14?\", \"50 minutes\"], [\"what did I watch on tv on 2010/06/14?\", \"a movie\"], [\"Did I watch tv on 2010/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/16\": {\"breakfast\": {\"eid\": \"e302\", \"logical_representation\": [\"2010/06/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e303\", \"logical_representation\": [\"2010/06/16\", \"Olivia\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early afternoon on 2010/06/16?\", \"11 minutes\"], [\"who did I talk to on 2010/06/16?\", \"Olivia\"], [\"Did I talk to Olivia on 2010/06/16?\", \"yes\"], [\"Did I talk to anyone on 2010/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/18\": {\"chat0\": {\"eid\": \"e306\", \"logical_representation\": [\"2010/06/18\", \"Eva, Lydia, Piper, Piper\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Eva, Lydia, Piper, Piper for 15 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Piper, Piper late in the evening on 2010/06/18?\", \"15 minutes\"], [\"who did I talk to on 2010/06/18?\", \"Eva, Lydia, Piper, Piper\"], [\"Did I talk to Eva, Lydia, Piper, Piper on 2010/06/18?\", \"yes\"], [\"Did I talk to anyone on 2010/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e307\", \"logical_representation\": [\"2010/06/18\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I watched a documentary for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/18?\", \"44 minutes\"], [\"what did I watch on tv on 2010/06/18?\", \"a documentary\"], [\"Did I watch tv on 2010/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/19\": {\"dinner\": {\"eid\": \"e308\", \"logical_representation\": [\"2010/06/19\", \"dinner\", \"steak\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/06/19\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e309\", \"logical_representation\": [\"2010/06/19\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/06/19?\", \"38 minutes\"], [\"what did I read on 2010/06/19?\", \"social media\"], [\"Did I read on 2010/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/21\": {\"chat0\": {\"eid\": \"e310\", \"logical_representation\": [\"2010/06/21\", \"Hazel, Avery, Kinsley\", \"in the morning\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Hazel, Avery, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Kinsley in the morning on 2010/06/21?\", \"50 minutes\"], [\"who did I talk to on 2010/06/21?\", \"Hazel, Avery, Kinsley\"], [\"Did I talk to Hazel, Avery, Kinsley on 2010/06/21?\", \"yes\"], [\"Did I talk to anyone on 2010/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e311\", \"logical_representation\": [\"2010/06/21\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I watched a documentary for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/06/21?\", \"25 minutes\"], [\"what did I watch on tv on 2010/06/21?\", \"a documentary\"], [\"Did I watch tv on 2010/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/06/25\": {\"exercise\": {\"eid\": \"e314\", \"logical_representation\": [\"2010/06/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e315\", \"logical_representation\": [\"2010/06/25\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/06/25\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2010/06/26\": {\"exercise\": {\"eid\": \"e316\", \"logical_representation\": [\"2010/06/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/06/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e317\", \"logical_representation\": [\"2010/06/26\", \"dinner\", \"chinese food\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had chinese food for dinner with Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/06/26?\", \"Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2010/06/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2010/06/27\": {\"lunch\": {\"eid\": \"e318\", \"logical_representation\": [\"2010/06/27\", \"lunch\", \"indian food\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had indian food for lunch with Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/06/27?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for lunch on 2010/06/27\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2010/06/28\": {\"exercise\": {\"eid\": \"e319\", \"logical_representation\": [\"2010/06/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/06/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/06/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2010/07/02\": {\"read\": {\"eid\": \"e321\", \"logical_representation\": [\"2010/07/02\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/07/02?\", \"33 minutes\"], [\"what did I read on 2010/07/02?\", \"news\"], [\"Did I read on 2010/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/05\": {\"breakfast\": {\"eid\": \"e329\", \"logical_representation\": [\"2010/07/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Carter, Kayden, Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/07/05?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2010/07/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e330\", \"logical_representation\": [\"2010/07/05\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/07/05?\", \"24 minutes\"], [\"what did I read on 2010/07/05?\", \"news\"], [\"Did I read on 2010/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/06\": {\"dinner\": {\"eid\": \"e331\", \"logical_representation\": [\"2010/07/06\", \"dinner\", \"a burger\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Avery, Jackson. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/07/06?\", \"Benjamin, Avery, Jackson\"], [\"what did I eat for dinner on 2010/07/06\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2010/07/07\": {\"read\": {\"eid\": \"e332\", \"logical_representation\": [\"2010/07/07\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/07/07?\", \"9 minutes\"], [\"what did I read on 2010/07/07?\", \"news\"], [\"Did I read on 2010/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/10\": {\"exercise\": {\"eid\": \"e337\", \"logical_representation\": [\"2010/07/10\", \"biking\"], \"text_template_based\": \"I did biking on 2010/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/10?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2010/07/11\": {\"breakfast\": {\"eid\": \"e338\", \"logical_representation\": [\"2010/07/11\", \"breakfast\", \"oatmeal\", \"Layla, Piper, Hazel, Claire, Avery, Piper, Eva, Olivia, Nevaeh, Nora, Rylee\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/07/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e339\", \"logical_representation\": [\"2010/07/11\", \"dinner\", \"fish and chips\", \"Jackson\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/07/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e340\", \"logical_representation\": [\"2010/07/11\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/07/11?\", \"28 minutes\"], [\"what did I read on 2010/07/11?\", \"a book\"], [\"Did I read on 2010/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/12\": {\"exercise\": {\"eid\": \"e341\", \"logical_representation\": [\"2010/07/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/07/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e342\", \"logical_representation\": [\"2010/07/12\", \"breakfast\", \"cereals\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Carter, Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/07/12?\", \"Andrew, Carter, Emily\"], [\"what did I eat for breakfast on 2010/07/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e343\", \"logical_representation\": [\"2010/07/12\", \"news\", \"16 minutes\"], \"text_template_based\": \"I watched news for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/12?\", \"16 minutes\"], [\"what did I watch on tv on 2010/07/12?\", \"news\"], [\"Did I watch tv on 2010/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/13\": {\"exercise\": {\"eid\": \"e344\", \"logical_representation\": [\"2010/07/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/07/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2010/07/14\": {\"exercise\": {\"eid\": \"e345\", \"logical_representation\": [\"2010/07/14\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/07/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/14?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e346\", \"logical_representation\": [\"2010/07/14\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/07/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e347\", \"logical_representation\": [\"2010/07/14\", \"dinner\", \"fish and chips\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/07/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2010/07/15\": {\"watch tv\": {\"eid\": \"e348\", \"logical_representation\": [\"2010/07/15\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I watched a documentary for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/15?\", \"47 minutes\"], [\"what did I watch on tv on 2010/07/15?\", \"a documentary\"], [\"Did I watch tv on 2010/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/18\": {\"lunch\": {\"eid\": \"e352\", \"logical_representation\": [\"2010/07/18\", \"lunch\", \"chinese food\", \"Avery, Piper, Kinsley, Rylee, Claire, Lydia, Eva, Nora, Hazel, Olivia\"], \"text_template_based\": \"I had lunch with Avery, Piper, Kinsley, Rylee, Claire, Lydia, Eva, Nora, Hazel, Olivia. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/07/18?\", \"Avery, Piper, Kinsley, Rylee, Claire, Lydia, Eva, Nora, Hazel, Olivia\"], [\"what did I eat for lunch on 2010/07/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e353\", \"logical_representation\": [\"2010/07/18\", \"dinner\", \"indian food\", \"Layla, Avery, Piper, Piper, Eva, Hazel\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/07/18\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2010/07/19\": {\"exercise\": {\"eid\": \"e354\", \"logical_representation\": [\"2010/07/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/07/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2010/07/20\": {\"watch tv\": {\"eid\": \"e355\", \"logical_representation\": [\"2010/07/20\", \"news\", \"41 minutes\"], \"text_template_based\": \"I watched news for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/20?\", \"41 minutes\"], [\"what did I watch on tv on 2010/07/20?\", \"news\"], [\"Did I watch tv on 2010/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/21\": {\"exercise\": {\"eid\": \"e356\", \"logical_representation\": [\"2010/07/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e357\", \"logical_representation\": [\"2010/07/21\", \"breakfast\", \"oatmeal\", \"Kinsley, Lydia, Avery\"], \"text_template_based\": \"I had breakfast with Kinsley, Lydia, Avery. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/07/21?\", \"Kinsley, Lydia, Avery\"], [\"what did I eat for breakfast on 2010/07/21\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e358\", \"logical_representation\": [\"2010/07/21\", \"Hazel, Lydia, Eva\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Hazel, Lydia, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Eva during lunch hours on 2010/07/21?\", \"39 minutes\"], [\"who did I talk to on 2010/07/21?\", \"Hazel, Lydia, Eva\"], [\"Did I talk to Hazel, Lydia, Eva on 2010/07/21?\", \"yes\"], [\"Did I talk to anyone on 2010/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/23\": {\"exercise\": {\"eid\": \"e360\", \"logical_representation\": [\"2010/07/23\", \"running\"], \"text_template_based\": \"I did running on 2010/07/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e361\", \"logical_representation\": [\"2010/07/23\", \"lunch\", \"a burger\", \"Hazel, Rylee, Claire, Eva, Nevaeh, Lydia, Nora, Layla\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/07/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e362\", \"logical_representation\": [\"2010/07/23\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/07/23?\", \"44 minutes\"], [\"what did I read on 2010/07/23?\", \"news\"], [\"Did I read on 2010/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/24\": {\"chat0\": {\"eid\": \"e363\", \"logical_representation\": [\"2010/07/24\", \"Kinsley, Lydia\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia during lunch hours on 2010/07/24?\", \"26 minutes\"], [\"who did I talk to on 2010/07/24?\", \"Kinsley, Lydia\"], [\"Did I talk to Kinsley, Lydia on 2010/07/24?\", \"yes\"], [\"Did I talk to anyone on 2010/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e364\", \"logical_representation\": [\"2010/07/24\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/07/24?\", \"33 minutes\"], [\"what did I read on 2010/07/24?\", \"social media\"], [\"Did I read on 2010/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/25\": {\"dinner\": {\"eid\": \"e365\", \"logical_representation\": [\"2010/07/25\", \"dinner\", \"sushi\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/07/25?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2010/07/25\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2010/07/26\": {\"exercise\": {\"eid\": \"e366\", \"logical_representation\": [\"2010/07/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e367\", \"logical_representation\": [\"2010/07/26\", \"news\", \"29 minutes\"], \"text_template_based\": \"I watched news for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/07/26?\", \"29 minutes\"], [\"what did I watch on tv on 2010/07/26?\", \"news\"], [\"Did I watch tv on 2010/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/27\": {\"lunch\": {\"eid\": \"e368\", \"logical_representation\": [\"2010/07/27\", \"lunch\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/07/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e369\", \"logical_representation\": [\"2010/07/27\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/07/27?\", \"14 minutes\"], [\"what did I read on 2010/07/27?\", \"social media\"], [\"Did I read on 2010/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/07/28\": {\"lunch\": {\"eid\": \"e370\", \"logical_representation\": [\"2010/07/28\", \"lunch\", \"steak\", \"Hazel, Nevaeh, Nora, Olivia, Piper, Claire, Rylee, Avery\"], \"text_template_based\": \"I had steak for lunch with Hazel, Nevaeh, Nora, Olivia, Piper, Claire, Rylee, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/07/28?\", \"Hazel, Nevaeh, Nora, Olivia, Piper, Claire, Rylee, Avery\"], [\"what did I eat for lunch on 2010/07/28\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/07/29\": {\"exercise\": {\"eid\": \"e371\", \"logical_representation\": [\"2010/07/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/07/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/07/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e372\", \"logical_representation\": [\"2010/07/29\", \"lunch\", \"indian food\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had indian food for lunch with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/07/29?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2010/07/29\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2010/07/31\": {\"dinner\": {\"eid\": \"e373\", \"logical_representation\": [\"2010/07/31\", \"dinner\", \"fish and chips\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had fish and chips for dinner with Andrew, Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/07/31?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2010/07/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2010/08/02\": {\"lunch\": {\"eid\": \"e374\", \"logical_representation\": [\"2010/08/02\", \"lunch\", \"indian food\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had indian food for lunch with Benjamin, Jackson, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/08/02?\", \"Benjamin, Jackson, Avery, Willow\"], [\"what did I eat for lunch on 2010/08/02\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2010/08/05\": {\"breakfast\": {\"eid\": \"e375\", \"logical_representation\": [\"2010/08/05\", \"breakfast\", \"pancakes\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/08/05?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2010/08/05\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e376\", \"logical_representation\": [\"2010/08/05\", \"lunch\", \"sandwich\", \"Emily, Kayden\"], \"text_template_based\": \"I had sandwich for lunch with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/08/05?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2010/08/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e377\", \"logical_representation\": [\"2010/08/05\", \"Layla, Nora\", \"in the morning\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Layla, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora in the morning on 2010/08/05?\", \"16 minutes\"], [\"who did I talk to on 2010/08/05?\", \"Layla, Nora\"], [\"Did I talk to Layla, Nora on 2010/08/05?\", \"yes\"], [\"Did I talk to anyone on 2010/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/06\": {\"exercise\": {\"eid\": \"e378\", \"logical_representation\": [\"2010/08/06\", \"running\"], \"text_template_based\": \"I did running on 2010/08/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/06?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2010/08/07\": {\"lunch\": {\"eid\": \"e379\", \"logical_representation\": [\"2010/08/07\", \"lunch\", \"a burger\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/08/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e380\", \"logical_representation\": [\"2010/08/07\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I watched a movie for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/07?\", \"18 minutes\"], [\"what did I watch on tv on 2010/08/07?\", \"a movie\"], [\"Did I watch tv on 2010/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/08\": {\"breakfast\": {\"eid\": \"e381\", \"logical_representation\": [\"2010/08/08\", \"breakfast\", \"pancakes\", \"Kinsley\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/08/08\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e382\", \"logical_representation\": [\"2010/08/08\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/08/08?\", \"42 minutes\"], [\"what did I read on 2010/08/08?\", \"a book\"], [\"Did I read on 2010/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/09\": {\"exercise\": {\"eid\": \"e383\", \"logical_representation\": [\"2010/08/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/08/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e384\", \"logical_representation\": [\"2010/08/09\", \"Rylee, Kinsley, Nora\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I talked to Rylee, Kinsley, Nora for 43 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Nora late in the evening on 2010/08/09?\", \"43 minutes\"], [\"who did I talk to on 2010/08/09?\", \"Rylee, Kinsley, Nora\"], [\"Did I talk to Rylee, Kinsley, Nora on 2010/08/09?\", \"yes\"], [\"Did I talk to anyone on 2010/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/10\": {\"dinner\": {\"eid\": \"e385\", \"logical_representation\": [\"2010/08/10\", \"dinner\", \"a burger\", \"Avery, Willow\"], \"text_template_based\": \"I had a burger for dinner with Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/08/10?\", \"Avery, Willow\"], [\"what did I eat for dinner on 2010/08/10\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2010/08/12\": {\"read\": {\"eid\": \"e389\", \"logical_representation\": [\"2010/08/12\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/08/12?\", \"55 minutes\"], [\"what did I read on 2010/08/12?\", \"news\"], [\"Did I read on 2010/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e390\", \"logical_representation\": [\"2010/08/12\", \"news\", \"48 minutes\"], \"text_template_based\": \"I watched news for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/12?\", \"48 minutes\"], [\"what did I watch on tv on 2010/08/12?\", \"news\"], [\"Did I watch tv on 2010/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/14\": {\"chat0\": {\"eid\": \"e395\", \"logical_representation\": [\"2010/08/14\", \"Claire, Piper, Avery, Olivia\", \"in the morning\", \"34 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Avery, Olivia for 34 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Avery, Olivia in the morning on 2010/08/14?\", \"34 minutes\"], [\"who did I talk to on 2010/08/14?\", \"Claire, Piper, Avery, Olivia\"], [\"Did I talk to Claire, Piper, Avery, Olivia on 2010/08/14?\", \"yes\"], [\"Did I talk to anyone on 2010/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/15\": {\"watch tv\": {\"eid\": \"e396\", \"logical_representation\": [\"2010/08/15\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/15?\", \"14 minutes\"], [\"what did I watch on tv on 2010/08/15?\", \"a movie\"], [\"Did I watch tv on 2010/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/17\": {\"chat0\": {\"eid\": \"e399\", \"logical_representation\": [\"2010/08/17\", \"Kinsley\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2010/08/17?\", \"37 minutes\"], [\"who did I talk to on 2010/08/17?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2010/08/17?\", \"yes\"], [\"Did I talk to anyone on 2010/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/21\": {\"lunch\": {\"eid\": \"e405\", \"logical_representation\": [\"2010/08/21\", \"lunch\", \"sushi\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had lunch with Benjamin, Jackson, Willow, Avery. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/08/21?\", \"Benjamin, Jackson, Willow, Avery\"], [\"what did I eat for lunch on 2010/08/21\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2010/08/22\": {\"breakfast\": {\"eid\": \"e406\", \"logical_representation\": [\"2010/08/22\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Kinsley\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/08/22\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e407\", \"logical_representation\": [\"2010/08/22\", \"Piper, Claire, Hazel, Piper\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Piper, Claire, Hazel, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Hazel, Piper in the early afternoon on 2010/08/22?\", \"20 minutes\"], [\"who did I talk to on 2010/08/22?\", \"Piper, Claire, Hazel, Piper\"], [\"Did I talk to Piper, Claire, Hazel, Piper on 2010/08/22?\", \"yes\"], [\"Did I talk to anyone on 2010/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/24\": {\"watch tv\": {\"eid\": \"e412\", \"logical_representation\": [\"2010/08/24\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/24?\", \"7 minutes\"], [\"what did I watch on tv on 2010/08/24?\", \"news\"], [\"Did I watch tv on 2010/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/25\": {\"chat0\": {\"eid\": \"e413\", \"logical_representation\": [\"2010/08/25\", \"Kinsley, Eva, Olivia\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva, Olivia for 23 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Olivia in the late afternoon on 2010/08/25?\", \"23 minutes\"], [\"who did I talk to on 2010/08/25?\", \"Kinsley, Eva, Olivia\"], [\"Did I talk to Kinsley, Eva, Olivia on 2010/08/25?\", \"yes\"], [\"Did I talk to anyone on 2010/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/26\": {\"read\": {\"eid\": \"e414\", \"logical_representation\": [\"2010/08/26\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/08/26?\", \"8 minutes\"], [\"what did I read on 2010/08/26?\", \"news\"], [\"Did I read on 2010/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/27\": {\"exercise\": {\"eid\": \"e415\", \"logical_representation\": [\"2010/08/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/08/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e416\", \"logical_representation\": [\"2010/08/27\", \"Eva, Layla\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I talked to Eva, Layla for 17 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla during lunch hours on 2010/08/27?\", \"17 minutes\"], [\"who did I talk to on 2010/08/27?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2010/08/27?\", \"yes\"], [\"Did I talk to anyone on 2010/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/28\": {\"lunch\": {\"eid\": \"e417\", \"logical_representation\": [\"2010/08/28\", \"lunch\", \"a burger\", \"Eva, Kinsley, Layla, Nevaeh, Claire, Hazel, Olivia, Avery, Piper\"], \"text_template_based\": \"I had lunch with Eva, Kinsley, Layla, Nevaeh, Claire, Hazel, Olivia, Avery, Piper. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/08/28?\", \"Eva, Kinsley, Layla, Nevaeh, Claire, Hazel, Olivia, Avery, Piper\"], [\"what did I eat for lunch on 2010/08/28\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2010/08/29\": {\"read\": {\"eid\": \"e418\", \"logical_representation\": [\"2010/08/29\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/08/29?\", \"11 minutes\"], [\"what did I read on 2010/08/29?\", \"a book\"], [\"Did I read on 2010/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e419\", \"logical_representation\": [\"2010/08/29\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/29?\", \"13 minutes\"], [\"what did I watch on tv on 2010/08/29?\", \"a documentary\"], [\"Did I watch tv on 2010/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/08/30\": {\"exercise\": {\"eid\": \"e420\", \"logical_representation\": [\"2010/08/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/08/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/08/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e421\", \"logical_representation\": [\"2010/08/30\", \"a documentary\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/08/30?\", \"38 minutes\"], [\"what did I watch on tv on 2010/08/30?\", \"a documentary\"], [\"Did I watch tv on 2010/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/01\": {\"lunch\": {\"eid\": \"e422\", \"logical_representation\": [\"2010/09/01\", \"lunch\", \"a burger\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Andrew, Emily, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/09/01?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for lunch on 2010/09/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e423\", \"logical_representation\": [\"2010/09/01\", \"dinner\", \"fish and chips\", \"Willow, Avery\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/09/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e424\", \"logical_representation\": [\"2010/09/01\", \"Layla, Kinsley, Rylee, Piper\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Layla, Kinsley, Rylee, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Rylee, Piper late in the evening on 2010/09/01?\", \"38 minutes\"], [\"who did I talk to on 2010/09/01?\", \"Layla, Kinsley, Rylee, Piper\"], [\"Did I talk to Layla, Kinsley, Rylee, Piper on 2010/09/01?\", \"yes\"], [\"Did I talk to anyone on 2010/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e425\", \"logical_representation\": [\"2010/09/01\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/01?\", \"10 minutes\"], [\"what did I watch on tv on 2010/09/01?\", \"a tv series\"], [\"Did I watch tv on 2010/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/02\": {\"lunch\": {\"eid\": \"e426\", \"logical_representation\": [\"2010/09/02\", \"lunch\", \"tacos\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/09/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e427\", \"logical_representation\": [\"2010/09/02\", \"dinner\", \"chinese food\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Emily, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/09/02?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for dinner on 2010/09/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2010/09/04\": {\"dinner\": {\"eid\": \"e430\", \"logical_representation\": [\"2010/09/04\", \"dinner\", \"indian food\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had indian food for dinner with Emily, Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/09/04?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for dinner on 2010/09/04\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2010/09/05\": {\"chat0\": {\"eid\": \"e431\", \"logical_representation\": [\"2010/09/05\", \"Claire, Nora, Layla\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Layla for 52 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Layla in the early afternoon on 2010/09/05?\", \"52 minutes\"], [\"who did I talk to on 2010/09/05?\", \"Claire, Nora, Layla\"], [\"Did I talk to Claire, Nora, Layla on 2010/09/05?\", \"yes\"], [\"Did I talk to anyone on 2010/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/06\": {\"social media\": {\"eid\": \"e432\", \"logical_representation\": [\"2010/09/06\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/09/06?\", \"35 minutes\"], [\"what did I read on 2010/09/06?\", \"social media\"], [\"Did I read on 2010/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/07\": {\"exercise\": {\"eid\": \"e433\", \"logical_representation\": [\"2010/09/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/09/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e434\", \"logical_representation\": [\"2010/09/07\", \"a documentary\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/07?\", \"31 minutes\"], [\"what did I watch on tv on 2010/09/07?\", \"a documentary\"], [\"Did I watch tv on 2010/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/09\": {\"chat0\": {\"eid\": \"e435\", \"logical_representation\": [\"2010/09/09\", \"Nora, Piper\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Nora, Piper for 19 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the late afternoon on 2010/09/09?\", \"19 minutes\"], [\"who did I talk to on 2010/09/09?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2010/09/09?\", \"yes\"], [\"Did I talk to anyone on 2010/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e436\", \"logical_representation\": [\"2010/09/09\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/09?\", \"23 minutes\"], [\"what did I watch on tv on 2010/09/09?\", \"a tv series\"], [\"Did I watch tv on 2010/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/10\": {\"chat0\": {\"eid\": \"e437\", \"logical_representation\": [\"2010/09/10\", \"Claire, Avery, Layla\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Claire, Avery, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Layla in the late afternoon on 2010/09/10?\", \"51 minutes\"], [\"who did I talk to on 2010/09/10?\", \"Claire, Avery, Layla\"], [\"Did I talk to Claire, Avery, Layla on 2010/09/10?\", \"yes\"], [\"Did I talk to anyone on 2010/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e438\", \"logical_representation\": [\"2010/09/10\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/09/10?\", \"34 minutes\"], [\"what did I read on 2010/09/10?\", \"a book\"], [\"Did I read on 2010/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e439\", \"logical_representation\": [\"2010/09/10\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I watched a tv series for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/10?\", \"32 minutes\"], [\"what did I watch on tv on 2010/09/10?\", \"a tv series\"], [\"Did I watch tv on 2010/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/11\": {\"breakfast\": {\"eid\": \"e440\", \"logical_representation\": [\"2010/09/11\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/09/11\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e441\", \"logical_representation\": [\"2010/09/11\", \"Lydia, Rylee, Piper, Hazel\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee, Piper, Hazel for 11 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Piper, Hazel in the early afternoon on 2010/09/11?\", \"11 minutes\"], [\"who did I talk to on 2010/09/11?\", \"Lydia, Rylee, Piper, Hazel\"], [\"Did I talk to Lydia, Rylee, Piper, Hazel on 2010/09/11?\", \"yes\"], [\"Did I talk to anyone on 2010/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/12\": {\"dinner\": {\"eid\": \"e442\", \"logical_representation\": [\"2010/09/12\", \"dinner\", \"chinese food\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/09/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2010/09/13\": {\"exercise\": {\"eid\": \"e443\", \"logical_representation\": [\"2010/09/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/09/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e444\", \"logical_representation\": [\"2010/09/13\", \"breakfast\", \"toast and cheese\", \"Claire, Kinsley, Lydia, Avery, Rylee, Eva, Olivia, Piper, Hazel\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/09/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2010/09/14\": {\"exercise\": {\"eid\": \"e445\", \"logical_representation\": [\"2010/09/14\", \"biking\"], \"text_template_based\": \"I did biking on 2010/09/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/14?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2010/09/15\": {\"lunch\": {\"eid\": \"e446\", \"logical_representation\": [\"2010/09/15\", \"lunch\", \"tacos\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had tacos for lunch with Emily, Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/09/15?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for lunch on 2010/09/15\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2010/09/18\": {\"exercise\": {\"eid\": \"e450\", \"logical_representation\": [\"2010/09/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/09/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e451\", \"logical_representation\": [\"2010/09/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/09/18?\", \"Jackson\"], [\"what did I eat for breakfast on 2010/09/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e452\", \"logical_representation\": [\"2010/09/18\", \"lunch\", \"sandwich\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/09/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e453\", \"logical_representation\": [\"2010/09/18\", \"Eva, Lydia\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Eva, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia in the morning on 2010/09/18?\", \"14 minutes\"], [\"who did I talk to on 2010/09/18?\", \"Eva, Lydia\"], [\"Did I talk to Eva, Lydia on 2010/09/18?\", \"yes\"], [\"Did I talk to anyone on 2010/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/19\": {\"breakfast\": {\"eid\": \"e454\", \"logical_representation\": [\"2010/09/19\", \"breakfast\", \"cereals\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast with Willow, Benjamin, Jackson. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/09/19?\", \"Willow, Benjamin, Jackson\"], [\"what did I eat for breakfast on 2010/09/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e455\", \"logical_representation\": [\"2010/09/19\", \"Kinsley, Eva, Nevaeh\", \"during lunch hours\", \"45 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva, Nevaeh for 45 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Nevaeh during lunch hours on 2010/09/19?\", \"45 minutes\"], [\"who did I talk to on 2010/09/19?\", \"Kinsley, Eva, Nevaeh\"], [\"Did I talk to Kinsley, Eva, Nevaeh on 2010/09/19?\", \"yes\"], [\"Did I talk to anyone on 2010/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/20\": {\"lunch\": {\"eid\": \"e456\", \"logical_representation\": [\"2010/09/20\", \"lunch\", \"chinese food\", \"Nevaeh\"], \"text_template_based\": \"I had lunch with Nevaeh. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/09/20?\", \"Nevaeh\"], [\"what did I eat for lunch on 2010/09/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e457\", \"logical_representation\": [\"2010/09/20\", \"Eva, Avery, Lydia, Piper\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Eva, Avery, Lydia, Piper for 29 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Lydia, Piper late in the evening on 2010/09/20?\", \"29 minutes\"], [\"who did I talk to on 2010/09/20?\", \"Eva, Avery, Lydia, Piper\"], [\"Did I talk to Eva, Avery, Lydia, Piper on 2010/09/20?\", \"yes\"], [\"Did I talk to anyone on 2010/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/23\": {\"lunch\": {\"eid\": \"e458\", \"logical_representation\": [\"2010/09/23\", \"lunch\", \"sandwich\", \"Eva, Lydia, Nevaeh, Hazel, Piper, Rylee, Layla, Kinsley, Piper\"], \"text_template_based\": \"I had lunch with Eva, Lydia, Nevaeh, Hazel, Piper, Rylee, Layla, Kinsley, Piper. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/09/23?\", \"Eva, Lydia, Nevaeh, Hazel, Piper, Rylee, Layla, Kinsley, Piper\"], [\"what did I eat for lunch on 2010/09/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2010/09/24\": {\"watch tv\": {\"eid\": \"e459\", \"logical_representation\": [\"2010/09/24\", \"a movie\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/24?\", \"15 minutes\"], [\"what did I watch on tv on 2010/09/24?\", \"a movie\"], [\"Did I watch tv on 2010/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/25\": {\"chat0\": {\"eid\": \"e460\", \"logical_representation\": [\"2010/09/25\", \"Piper\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Piper for 12 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2010/09/25?\", \"12 minutes\"], [\"who did I talk to on 2010/09/25?\", \"Piper\"], [\"Did I talk to Piper on 2010/09/25?\", \"yes\"], [\"Did I talk to anyone on 2010/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e461\", \"logical_representation\": [\"2010/09/25\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/25?\", \"37 minutes\"], [\"what did I watch on tv on 2010/09/25?\", \"a tv series\"], [\"Did I watch tv on 2010/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/26\": {\"lunch\": {\"eid\": \"e462\", \"logical_representation\": [\"2010/09/26\", \"lunch\", \"sandwich\", \"Emily, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/09/26?\", \"Emily, Andrew\"], [\"what did I eat for lunch on 2010/09/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e463\", \"logical_representation\": [\"2010/09/26\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/09/26?\", \"13 minutes\"], [\"what did I read on 2010/09/26?\", \"social media\"], [\"Did I read on 2010/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/27\": {\"exercise\": {\"eid\": \"e464\", \"logical_representation\": [\"2010/09/27\", \"running\"], \"text_template_based\": \"I did running on 2010/09/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/09/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e465\", \"logical_representation\": [\"2010/09/27\", \"dinner\", \"sandwich\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/09/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e466\", \"logical_representation\": [\"2010/09/27\", \"Kinsley, Layla\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Kinsley, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla in the early afternoon on 2010/09/27?\", \"45 minutes\"], [\"who did I talk to on 2010/09/27?\", \"Kinsley, Layla\"], [\"Did I talk to Kinsley, Layla on 2010/09/27?\", \"yes\"], [\"Did I talk to anyone on 2010/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e467\", \"logical_representation\": [\"2010/09/27\", \"a tv series\", \"30 minutes\"], \"text_template_based\": \"I watched a tv series for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/09/27?\", \"30 minutes\"], [\"what did I watch on tv on 2010/09/27?\", \"a tv series\"], [\"Did I watch tv on 2010/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/09/30\": {\"breakfast\": {\"eid\": \"e472\", \"logical_representation\": [\"2010/09/30\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/09/30?\", \"Carter\"], [\"what did I eat for breakfast on 2010/09/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e473\", \"logical_representation\": [\"2010/09/30\", \"dinner\", \"sandwich\", \"Hazel, Nora, Rylee, Piper, Lydia, Claire, Nevaeh, Kinsley, Olivia, Avery, Layla, Piper\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/09/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e474\", \"logical_representation\": [\"2010/09/30\", \"Olivia, Hazel, Piper, Piper\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Olivia, Hazel, Piper, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Piper, Piper in the morning on 2010/09/30?\", \"39 minutes\"], [\"who did I talk to on 2010/09/30?\", \"Olivia, Hazel, Piper, Piper\"], [\"Did I talk to Olivia, Hazel, Piper, Piper on 2010/09/30?\", \"yes\"], [\"Did I talk to anyone on 2010/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/01\": {\"breakfast\": {\"eid\": \"e475\", \"logical_representation\": [\"2010/10/01\", \"breakfast\", \"oatmeal\", \"Jackson\"], \"text_template_based\": \"I had oatmeal for breakfast with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/10/01?\", \"Jackson\"], [\"what did I eat for breakfast on 2010/10/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2010/10/02\": {\"dinner\": {\"eid\": \"e476\", \"logical_representation\": [\"2010/10/02\", \"dinner\", \"indian food\", \"Rylee, Claire, Lydia, Kinsley, Hazel, Layla, Piper, Piper, Avery, Olivia, Nevaeh\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/10/02\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2010/10/03\": {\"exercise\": {\"eid\": \"e477\", \"logical_representation\": [\"2010/10/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/10/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2010/10/04\": {\"lunch\": {\"eid\": \"e478\", \"logical_representation\": [\"2010/10/04\", \"lunch\", \"tacos\", \"Kinsley, Piper, Nevaeh, Hazel, Rylee\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e479\", \"logical_representation\": [\"2010/10/04\", \"Eva, Layla, Piper, Lydia\", \"in the late afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Eva, Layla, Piper, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Piper, Lydia in the late afternoon on 2010/10/04?\", \"36 minutes\"], [\"who did I talk to on 2010/10/04?\", \"Eva, Layla, Piper, Lydia\"], [\"Did I talk to Eva, Layla, Piper, Lydia on 2010/10/04?\", \"yes\"], [\"Did I talk to anyone on 2010/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/05\": {\"exercise\": {\"eid\": \"e480\", \"logical_representation\": [\"2010/10/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/10/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e481\", \"logical_representation\": [\"2010/10/05\", \"lunch\", \"steak\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e482\", \"logical_representation\": [\"2010/10/05\", \"dinner\", \"sushi\", \"Emily\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/10/05\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2010/10/06\": {\"read\": {\"eid\": \"e483\", \"logical_representation\": [\"2010/10/06\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/10/06?\", \"43 minutes\"], [\"what did I read on 2010/10/06?\", \"news\"], [\"Did I read on 2010/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/08\": {\"exercise\": {\"eid\": \"e484\", \"logical_representation\": [\"2010/10/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/10/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2010/10/11\": {\"lunch\": {\"eid\": \"e485\", \"logical_representation\": [\"2010/10/11\", \"lunch\", \"steak\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/11\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/10/12\": {\"lunch\": {\"eid\": \"e486\", \"logical_representation\": [\"2010/10/12\", \"lunch\", \"tacos\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/10/12?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2010/10/12\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e487\", \"logical_representation\": [\"2010/10/12\", \"Olivia\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Olivia for 16 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early afternoon on 2010/10/12?\", \"16 minutes\"], [\"who did I talk to on 2010/10/12?\", \"Olivia\"], [\"Did I talk to Olivia on 2010/10/12?\", \"yes\"], [\"Did I talk to anyone on 2010/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/13\": {\"chat0\": {\"eid\": \"e488\", \"logical_representation\": [\"2010/10/13\", \"Rylee, Claire, Layla, Eva\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Rylee, Claire, Layla, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Layla, Eva in the morning on 2010/10/13?\", \"32 minutes\"], [\"who did I talk to on 2010/10/13?\", \"Rylee, Claire, Layla, Eva\"], [\"Did I talk to Rylee, Claire, Layla, Eva on 2010/10/13?\", \"yes\"], [\"Did I talk to anyone on 2010/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/17\": {\"watch tv\": {\"eid\": \"e495\", \"logical_representation\": [\"2010/10/17\", \"a documentary\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/17?\", \"41 minutes\"], [\"what did I watch on tv on 2010/10/17?\", \"a documentary\"], [\"Did I watch tv on 2010/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/18\": {\"lunch\": {\"eid\": \"e496\", \"logical_representation\": [\"2010/10/18\", \"lunch\", \"indian food\", \"Hazel\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e497\", \"logical_representation\": [\"2010/10/18\", \"Kinsley, Piper\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper for 14 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the early evening on 2010/10/18?\", \"14 minutes\"], [\"who did I talk to on 2010/10/18?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2010/10/18?\", \"yes\"], [\"Did I talk to anyone on 2010/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/19\": {\"read\": {\"eid\": \"e498\", \"logical_representation\": [\"2010/10/19\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/10/19?\", \"54 minutes\"], [\"what did I read on 2010/10/19?\", \"a book\"], [\"Did I read on 2010/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/21\": {\"exercise\": {\"eid\": \"e499\", \"logical_representation\": [\"2010/10/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2010/10/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e500\", \"logical_representation\": [\"2010/10/21\", \"lunch\", \"steak\", \"Emily, Carter\"], \"text_template_based\": \"I had steak for lunch with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/10/21?\", \"Emily, Carter\"], [\"what did I eat for lunch on 2010/10/21\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/10/22\": {\"lunch\": {\"eid\": \"e501\", \"logical_representation\": [\"2010/10/22\", \"lunch\", \"sushi\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/22\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e502\", \"logical_representation\": [\"2010/10/22\", \"dinner\", \"steak\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Emily, Carter, Andrew. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/10/22?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for dinner on 2010/10/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e503\", \"logical_representation\": [\"2010/10/22\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I watched a tv series for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/10/22?\", \"26 minutes\"], [\"what did I watch on tv on 2010/10/22?\", \"a tv series\"], [\"Did I watch tv on 2010/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/23\": {\"exercise\": {\"eid\": \"e504\", \"logical_representation\": [\"2010/10/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/10/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e505\", \"logical_representation\": [\"2010/10/23\", \"Avery, Hazel, Olivia\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Avery, Hazel, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Olivia late in the evening on 2010/10/23?\", \"11 minutes\"], [\"who did I talk to on 2010/10/23?\", \"Avery, Hazel, Olivia\"], [\"Did I talk to Avery, Hazel, Olivia on 2010/10/23?\", \"yes\"], [\"Did I talk to anyone on 2010/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/24\": {\"breakfast\": {\"eid\": \"e506\", \"logical_representation\": [\"2010/10/24\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/10/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e507\", \"logical_representation\": [\"2010/10/24\", \"lunch\", \"pasta\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/24\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2010/10/25\": {\"social media\": {\"eid\": \"e508\", \"logical_representation\": [\"2010/10/25\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/10/25?\", \"12 minutes\"], [\"what did I read on 2010/10/25?\", \"social media\"], [\"Did I read on 2010/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/10/26\": {\"dinner\": {\"eid\": \"e509\", \"logical_representation\": [\"2010/10/26\", \"dinner\", \"sandwich\", \"Eva, Lydia, Layla, Kinsley\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/10/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2010/10/28\": {\"exercise\": {\"eid\": \"e511\", \"logical_representation\": [\"2010/10/28\", \"biking\"], \"text_template_based\": \"I did biking on 2010/10/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/10/28?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2010/10/30\": {\"lunch\": {\"eid\": \"e512\", \"logical_representation\": [\"2010/10/30\", \"lunch\", \"pasta\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/10/30\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2010/11/01\": {\"exercise\": {\"eid\": \"e515\", \"logical_representation\": [\"2010/11/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/11/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e516\", \"logical_representation\": [\"2010/11/01\", \"lunch\", \"a burger\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e517\", \"logical_representation\": [\"2010/11/01\", \"dinner\", \"fish and chips\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2010/11/02\": {\"read\": {\"eid\": \"e518\", \"logical_representation\": [\"2010/11/02\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/11/02?\", \"25 minutes\"], [\"what did I read on 2010/11/02?\", \"a book\"], [\"Did I read on 2010/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/06\": {\"lunch\": {\"eid\": \"e521\", \"logical_representation\": [\"2010/11/06\", \"lunch\", \"sushi\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e522\", \"logical_representation\": [\"2010/11/06\", \"dinner\", \"tacos\", \"Rylee, Avery, Eva, Lydia, Kinsley\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e523\", \"logical_representation\": [\"2010/11/06\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/11/06?\", \"32 minutes\"], [\"what did I read on 2010/11/06?\", \"news\"], [\"Did I read on 2010/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e524\", \"logical_representation\": [\"2010/11/06\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/06?\", \"12 minutes\"], [\"what did I watch on tv on 2010/11/06?\", \"a movie\"], [\"Did I watch tv on 2010/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/07\": {\"chat0\": {\"eid\": \"e525\", \"logical_representation\": [\"2010/11/07\", \"Claire\", \"in the early afternoon\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2010/11/07?\", \"5 minutes\"], [\"who did I talk to on 2010/11/07?\", \"Claire\"], [\"Did I talk to Claire on 2010/11/07?\", \"yes\"], [\"Did I talk to anyone on 2010/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/12\": {\"lunch\": {\"eid\": \"e527\", \"logical_representation\": [\"2010/11/12\", \"lunch\", \"chinese food\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e528\", \"logical_representation\": [\"2010/11/12\", \"Hazel, Lydia\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Hazel, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia in the late afternoon on 2010/11/12?\", \"46 minutes\"], [\"who did I talk to on 2010/11/12?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2010/11/12?\", \"yes\"], [\"Did I talk to anyone on 2010/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/13\": {\"dinner\": {\"eid\": \"e529\", \"logical_representation\": [\"2010/11/13\", \"dinner\", \"a burger\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had a burger for dinner with Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/11/13?\", \"Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2010/11/13\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2010/11/14\": {\"exercise\": {\"eid\": \"e530\", \"logical_representation\": [\"2010/11/14\", \"running\"], \"text_template_based\": \"I did running on 2010/11/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e531\", \"logical_representation\": [\"2010/11/14\", \"lunch\", \"steak\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/14\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e532\", \"logical_representation\": [\"2010/11/14\", \"dinner\", \"pasta\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/14\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2010/11/15\": {\"chat0\": {\"eid\": \"e533\", \"logical_representation\": [\"2010/11/15\", \"Nora, Olivia, Nevaeh\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Nora, Olivia, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Nevaeh during lunch hours on 2010/11/15?\", \"13 minutes\"], [\"who did I talk to on 2010/11/15?\", \"Nora, Olivia, Nevaeh\"], [\"Did I talk to Nora, Olivia, Nevaeh on 2010/11/15?\", \"yes\"], [\"Did I talk to anyone on 2010/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/16\": {\"chat0\": {\"eid\": \"e534\", \"logical_representation\": [\"2010/11/16\", \"Layla, Olivia, Eva\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Layla, Olivia, Eva for 16 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia, Eva in the early afternoon on 2010/11/16?\", \"16 minutes\"], [\"who did I talk to on 2010/11/16?\", \"Layla, Olivia, Eva\"], [\"Did I talk to Layla, Olivia, Eva on 2010/11/16?\", \"yes\"], [\"Did I talk to anyone on 2010/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/17\": {\"lunch\": {\"eid\": \"e535\", \"logical_representation\": [\"2010/11/17\", \"lunch\", \"chinese food\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e536\", \"logical_representation\": [\"2010/11/17\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/17?\", \"12 minutes\"], [\"what did I watch on tv on 2010/11/17?\", \"a movie\"], [\"Did I watch tv on 2010/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/21\": {\"watch tv\": {\"eid\": \"e537\", \"logical_representation\": [\"2010/11/21\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I watched a tv series for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/11/21?\", \"13 minutes\"], [\"what did I watch on tv on 2010/11/21?\", \"a tv series\"], [\"Did I watch tv on 2010/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/22\": {\"lunch\": {\"eid\": \"e538\", \"logical_representation\": [\"2010/11/22\", \"lunch\", \"sandwich\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Andrew, Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/11/22?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for lunch on 2010/11/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2010/11/24\": {\"exercise\": {\"eid\": \"e539\", \"logical_representation\": [\"2010/11/24\", \"biking\"], \"text_template_based\": \"I did biking on 2010/11/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/11/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e540\", \"logical_representation\": [\"2010/11/24\", \"Claire, Eva\", \"during lunch hours\", \"40 minutes\"], \"text_template_based\": \"I talked to Claire, Eva for 40 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva during lunch hours on 2010/11/24?\", \"40 minutes\"], [\"who did I talk to on 2010/11/24?\", \"Claire, Eva\"], [\"Did I talk to Claire, Eva on 2010/11/24?\", \"yes\"], [\"Did I talk to anyone on 2010/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e541\", \"logical_representation\": [\"2010/11/24\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/11/24?\", \"13 minutes\"], [\"what did I read on 2010/11/24?\", \"a book\"], [\"Did I read on 2010/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/26\": {\"lunch\": {\"eid\": \"e542\", \"logical_representation\": [\"2010/11/26\", \"lunch\", \"fish and chips\", \"Jackson\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2010/11/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e543\", \"logical_representation\": [\"2010/11/26\", \"dinner\", \"fish and chips\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/11/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2010/11/27\": {\"chat0\": {\"eid\": \"e544\", \"logical_representation\": [\"2010/11/27\", \"Layla, Piper\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I talked to Layla, Piper for 34 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper during lunch hours on 2010/11/27?\", \"34 minutes\"], [\"who did I talk to on 2010/11/27?\", \"Layla, Piper\"], [\"Did I talk to Layla, Piper on 2010/11/27?\", \"yes\"], [\"Did I talk to anyone on 2010/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e545\", \"logical_representation\": [\"2010/11/27\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/11/27?\", \"12 minutes\"], [\"what did I read on 2010/11/27?\", \"news\"], [\"Did I read on 2010/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/11/30\": {\"lunch\": {\"eid\": \"e546\", \"logical_representation\": [\"2010/11/30\", \"lunch\", \"steak\", \"Jackson\"], \"text_template_based\": \"I had steak for lunch with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/11/30?\", \"Jackson\"], [\"what did I eat for lunch on 2010/11/30\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2010/12/01\": {\"read\": {\"eid\": \"e547\", \"logical_representation\": [\"2010/12/01\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2010/12/01?\", \"26 minutes\"], [\"what did I read on 2010/12/01?\", \"news\"], [\"Did I read on 2010/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/02\": {\"read\": {\"eid\": \"e548\", \"logical_representation\": [\"2010/12/02\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/12/02?\", \"23 minutes\"], [\"what did I read on 2010/12/02?\", \"a book\"], [\"Did I read on 2010/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/04\": {\"lunch\": {\"eid\": \"e550\", \"logical_representation\": [\"2010/12/04\", \"lunch\", \"chinese food\", \"Piper, Lydia, Nevaeh, Hazel, Claire, Eva, Kinsley, Piper, Layla\"], \"text_template_based\": \"I had lunch with Piper, Lydia, Nevaeh, Hazel, Claire, Eva, Kinsley, Piper, Layla. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/12/04?\", \"Piper, Lydia, Nevaeh, Hazel, Claire, Eva, Kinsley, Piper, Layla\"], [\"what did I eat for lunch on 2010/12/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e551\", \"logical_representation\": [\"2010/12/04\", \"Avery\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Avery for 28 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2010/12/04?\", \"28 minutes\"], [\"who did I talk to on 2010/12/04?\", \"Avery\"], [\"Did I talk to Avery on 2010/12/04?\", \"yes\"], [\"Did I talk to anyone on 2010/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e552\", \"logical_representation\": [\"2010/12/04\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2010/12/04?\", \"13 minutes\"], [\"what did I read on 2010/12/04?\", \"a book\"], [\"Did I read on 2010/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e553\", \"logical_representation\": [\"2010/12/04\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/04?\", \"39 minutes\"], [\"what did I watch on tv on 2010/12/04?\", \"a movie\"], [\"Did I watch tv on 2010/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/06\": {\"dinner\": {\"eid\": \"e556\", \"logical_representation\": [\"2010/12/06\", \"dinner\", \"sushi\", \"Olivia, Nora, Eva, Layla, Lydia, Piper, Avery, Kinsley, Hazel, Rylee, Piper, Claire, Nevaeh\"], \"text_template_based\": \"I had sushi for dinner with Olivia, Nora, Eva, Layla, Lydia, Piper, Avery, Kinsley, Hazel, Rylee, Piper, Claire, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/12/06?\", \"Olivia, Nora, Eva, Layla, Lydia, Piper, Avery, Kinsley, Hazel, Rylee, Piper, Claire, Nevaeh\"], [\"what did I eat for dinner on 2010/12/06\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2010/12/07\": {\"watch tv\": {\"eid\": \"e557\", \"logical_representation\": [\"2010/12/07\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/07?\", \"6 minutes\"], [\"what did I watch on tv on 2010/12/07?\", \"a movie\"], [\"Did I watch tv on 2010/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/09\": {\"chat0\": {\"eid\": \"e558\", \"logical_representation\": [\"2010/12/09\", \"Piper, Layla\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Piper, Layla for 53 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla late in the evening on 2010/12/09?\", \"53 minutes\"], [\"who did I talk to on 2010/12/09?\", \"Piper, Layla\"], [\"Did I talk to Piper, Layla on 2010/12/09?\", \"yes\"], [\"Did I talk to anyone on 2010/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/10\": {\"lunch\": {\"eid\": \"e559\", \"logical_representation\": [\"2010/12/10\", \"lunch\", \"pasta\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had pasta for lunch with Kayden, Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2010/12/10?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2010/12/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e560\", \"logical_representation\": [\"2010/12/10\", \"dinner\", \"sushi\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2010/12/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e561\", \"logical_representation\": [\"2010/12/10\", \"Kinsley, Nevaeh, Olivia, Piper\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Kinsley, Nevaeh, Olivia, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Olivia, Piper late in the evening on 2010/12/10?\", \"46 minutes\"], [\"who did I talk to on 2010/12/10?\", \"Kinsley, Nevaeh, Olivia, Piper\"], [\"Did I talk to Kinsley, Nevaeh, Olivia, Piper on 2010/12/10?\", \"yes\"], [\"Did I talk to anyone on 2010/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/11\": {\"chat0\": {\"eid\": \"e562\", \"logical_representation\": [\"2010/12/11\", \"Hazel, Eva\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Hazel, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Eva in the late afternoon on 2010/12/11?\", \"45 minutes\"], [\"who did I talk to on 2010/12/11?\", \"Hazel, Eva\"], [\"Did I talk to Hazel, Eva on 2010/12/11?\", \"yes\"], [\"Did I talk to anyone on 2010/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/13\": {\"watch tv\": {\"eid\": \"e565\", \"logical_representation\": [\"2010/12/13\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/13?\", \"43 minutes\"], [\"what did I watch on tv on 2010/12/13?\", \"a tv series\"], [\"Did I watch tv on 2010/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/16\": {\"breakfast\": {\"eid\": \"e569\", \"logical_representation\": [\"2010/12/16\", \"breakfast\", \"oatmeal\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Carter. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2010/12/16?\", \"Kayden, Carter\"], [\"what did I eat for breakfast on 2010/12/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e570\", \"logical_representation\": [\"2010/12/16\", \"Lydia, Olivia, Layla, Nora\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia, Layla, Nora for 38 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Layla, Nora in the morning on 2010/12/16?\", \"38 minutes\"], [\"who did I talk to on 2010/12/16?\", \"Lydia, Olivia, Layla, Nora\"], [\"Did I talk to Lydia, Olivia, Layla, Nora on 2010/12/16?\", \"yes\"], [\"Did I talk to anyone on 2010/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e571\", \"logical_representation\": [\"2010/12/16\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/12/16?\", \"12 minutes\"], [\"what did I read on 2010/12/16?\", \"social media\"], [\"Did I read on 2010/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/17\": {\"chat0\": {\"eid\": \"e572\", \"logical_representation\": [\"2010/12/17\", \"Piper, Nevaeh, Olivia, Eva\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Piper, Nevaeh, Olivia, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Olivia, Eva in the morning on 2010/12/17?\", \"45 minutes\"], [\"who did I talk to on 2010/12/17?\", \"Piper, Nevaeh, Olivia, Eva\"], [\"Did I talk to Piper, Nevaeh, Olivia, Eva on 2010/12/17?\", \"yes\"], [\"Did I talk to anyone on 2010/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/18\": {\"chat0\": {\"eid\": \"e573\", \"logical_representation\": [\"2010/12/18\", \"Nevaeh, Rylee, Lydia, Piper\", \"in the morning\", \"23 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee, Lydia, Piper for 23 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Lydia, Piper in the morning on 2010/12/18?\", \"23 minutes\"], [\"who did I talk to on 2010/12/18?\", \"Nevaeh, Rylee, Lydia, Piper\"], [\"Did I talk to Nevaeh, Rylee, Lydia, Piper on 2010/12/18?\", \"yes\"], [\"Did I talk to anyone on 2010/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/19\": {\"social media\": {\"eid\": \"e574\", \"logical_representation\": [\"2010/12/19\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/12/19?\", \"50 minutes\"], [\"what did I read on 2010/12/19?\", \"social media\"], [\"Did I read on 2010/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e575\", \"logical_representation\": [\"2010/12/19\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I watched a documentary for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/19?\", \"54 minutes\"], [\"what did I watch on tv on 2010/12/19?\", \"a documentary\"], [\"Did I watch tv on 2010/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/21\": {\"exercise\": {\"eid\": \"e577\", \"logical_representation\": [\"2010/12/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/12/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2010/12/22\": {\"exercise\": {\"eid\": \"e578\", \"logical_representation\": [\"2010/12/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2010/12/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2010/12/23\": {\"breakfast\": {\"eid\": \"e579\", \"logical_representation\": [\"2010/12/23\", \"breakfast\", \"pancakes\", \"Avery, Piper, Hazel, Nevaeh, Nora, Claire, Lydia\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/23\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e580\", \"logical_representation\": [\"2010/12/23\", \"Claire, Piper, Eva\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Eva for 28 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Eva in the early afternoon on 2010/12/23?\", \"28 minutes\"], [\"who did I talk to on 2010/12/23?\", \"Claire, Piper, Eva\"], [\"Did I talk to Claire, Piper, Eva on 2010/12/23?\", \"yes\"], [\"Did I talk to anyone on 2010/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/24\": {\"social media\": {\"eid\": \"e581\", \"logical_representation\": [\"2010/12/24\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/12/24?\", \"11 minutes\"], [\"what did I read on 2010/12/24?\", \"social media\"], [\"Did I read on 2010/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/25\": {\"chat0\": {\"eid\": \"e582\", \"logical_representation\": [\"2010/12/25\", \"Piper\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Piper for 18 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2010/12/25?\", \"18 minutes\"], [\"who did I talk to on 2010/12/25?\", \"Piper\"], [\"Did I talk to Piper on 2010/12/25?\", \"yes\"], [\"Did I talk to anyone on 2010/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/26\": {\"breakfast\": {\"eid\": \"e583\", \"logical_representation\": [\"2010/12/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2010/12/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e584\", \"logical_representation\": [\"2010/12/26\", \"Olivia, Piper\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper for 52 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper in the late afternoon on 2010/12/26?\", \"52 minutes\"], [\"who did I talk to on 2010/12/26?\", \"Olivia, Piper\"], [\"Did I talk to Olivia, Piper on 2010/12/26?\", \"yes\"], [\"Did I talk to anyone on 2010/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/28\": {\"dinner\": {\"eid\": \"e585\", \"logical_representation\": [\"2010/12/28\", \"dinner\", \"steak\", \"Willow, Benjamin\"], \"text_template_based\": \"I had dinner with Willow, Benjamin. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2010/12/28?\", \"Willow, Benjamin\"], [\"what did I eat for dinner on 2010/12/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e586\", \"logical_representation\": [\"2010/12/28\", \"Claire, Hazel, Eva, Kinsley\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Claire, Hazel, Eva, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Eva, Kinsley in the early afternoon on 2010/12/28?\", \"47 minutes\"], [\"who did I talk to on 2010/12/28?\", \"Claire, Hazel, Eva, Kinsley\"], [\"Did I talk to Claire, Hazel, Eva, Kinsley on 2010/12/28?\", \"yes\"], [\"Did I talk to anyone on 2010/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e587\", \"logical_representation\": [\"2010/12/28\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2010/12/28?\", \"32 minutes\"], [\"what did I read on 2010/12/28?\", \"social media\"], [\"Did I read on 2010/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/29\": {\"exercise\": {\"eid\": \"e588\", \"logical_representation\": [\"2010/12/29\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2010/12/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/29?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e589\", \"logical_representation\": [\"2010/12/29\", \"Kinsley, Nevaeh\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh for 16 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh in the early afternoon on 2010/12/29?\", \"16 minutes\"], [\"who did I talk to on 2010/12/29?\", \"Kinsley, Nevaeh\"], [\"Did I talk to Kinsley, Nevaeh on 2010/12/29?\", \"yes\"], [\"Did I talk to anyone on 2010/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e590\", \"logical_representation\": [\"2010/12/29\", \"a tv series\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2010/12/29?\", \"52 minutes\"], [\"what did I watch on tv on 2010/12/29?\", \"a tv series\"], [\"Did I watch tv on 2010/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2010/12/30\": {\"exercise\": {\"eid\": \"e591\", \"logical_representation\": [\"2010/12/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2010/12/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2010/12/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e592\", \"logical_representation\": [\"2010/12/30\", \"Avery, Hazel, Claire, Olivia\", \"in the late afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Avery, Hazel, Claire, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Claire, Olivia in the late afternoon on 2010/12/30?\", \"16 minutes\"], [\"who did I talk to on 2010/12/30?\", \"Avery, Hazel, Claire, Olivia\"], [\"Did I talk to Avery, Hazel, Claire, Olivia on 2010/12/30?\", \"yes\"], [\"Did I talk to anyone on 2010/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/08\": {\"travel\": {\"eid\": \"e593\", \"logical_representation\": [\"2011/05/08\", \"2011/05/22\", [\"Benjamin\", \"Avery\"], \"London, UK\"], \"text_template_based\": \"On 2011/05/08 Benjamin, Avery and I went to London, UK together for 14 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to London, UK on 2011/05/08?\", \"Benjamin, Avery\"], [\"who did I go with to London, UK?\", \"Benjamin, Avery\"], [\"where did I go on 2011/05/08?\", \"London, UK\"], [\"when did I go to London, UK?\", \"2011/05/08\"], [\"when did I go to London, UK with Benjamin, Avery ?\", \"2011/05/08\"], [\"How long did I stay in London, UK?\", \"14\"]], \"multihop_qa_pairs\": []}}, \"2011/05/09\": {\"places_visited\": {\"eid\": \"e594\", \"logical_representation\": [\"2011/05/09\", [\"Benjamin\", \"Avery\"], \"Tower of London\", \"took a group photo\", \"happy\"], \"text_template_based\": \"During my trip to London, UK, I visited Tower of London on 2011/05 with Benjamin, Avery.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to London, UK on 2011/05\", \"Tower of London\"], [\"when did I visit Tower of London during my trip to London, UK\", \"2011/05/09\"], [\"when did I visit Tower of London \", \"2011/05/09\"], 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\"multihop_qa_pairs\": []}}, \"2011/05/10\": {\"places_visited\": {\"eid\": \"e595\", \"logical_representation\": [\"2011/05/10\", [\"Benjamin\", \"Avery\"], \"London Eye\", \"bought some souvenirs\", \"special\"], \"text_template_based\": \"During my trip to London, UK, I visited London Eye on 2011/05 with Benjamin, Avery.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to London, UK on 2011/05\", \"London Eye\"], [\"when did I visit London Eye during my trip to London, UK\", \"2011/05/10\"], [\"when did I visit London Eye \", \"2011/05/10\"], [\"who went with me to visit London Eye ?\", \"Benjamin, Avery\"], [\"who went with me to visit London Eye during my trip to London, UK on 2011/05?\", \"Benjamin, Avery\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e600\", \"logical_representation\": [\"2011/05/10\", [\"Benjamin\", \"Avery\"], \"Japanese food\", \"Berwick Street Market\"], \"text_template_based\": \"I ate Japanese food at Berwick 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{\"eid\": \"e597\", \"logical_representation\": [\"2011/05/12\", [\"Benjamin\", \"Avery\"], \"Camden\", \"recorded some videos\", \"happy\"], \"text_template_based\": \"During my trip to London, UK, I visited Camden on 2011/05 with Benjamin, Avery.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to London, UK on 2011/05\", \"Camden\"], [\"when did I visit Camden during my trip to London, UK\", \"2011/05/12\"], [\"when did I visit Camden \", \"2011/05/12\"], [\"who went with me to visit Camden ?\", \"Benjamin, Avery\"], [\"who went with me to visit Camden during my trip to London, UK on 2011/05?\", \"Benjamin, Avery\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e602\", \"logical_representation\": [\"2011/05/12\", [\"Benjamin\", \"Avery\"], \"Italian food\", \"Broadway Market\"], \"text_template_based\": \"I ate Italian food at Broadway Market with Benjamin, Avery on  2011/05/12 when I was in London, UK.\", \"text_model_based\": [], 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\"steak\", \"Layla, Piper, Olivia\"], \"text_template_based\": \"I had lunch with Layla, Piper, Olivia. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/05/12?\", \"Layla, Piper, Olivia\"], [\"what did I eat for lunch on 2011/05/12\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2011/05/13\": {\"places_visited\": {\"eid\": \"e598\", \"logical_representation\": [\"2011/05/13\", [\"Benjamin\", \"Avery\"], \"Hyde Park\", \"took a selfie\", \"special\"], \"text_template_based\": \"During my trip to London, UK, I visited Hyde Park on 2011/05 with Benjamin, Avery.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to London, UK on 2011/05\", \"Hyde Park\"], [\"when did I visit Hyde Park during my trip to London, UK\", \"2011/05/13\"], [\"when did I visit Hyde Park \", \"2011/05/13\"], [\"who went with me to visit Hyde Park ?\", \"Benjamin, Avery\"], [\"who went with me to visit Hyde Park during my trip to London, UK on 2011/05?\", \"Benjamin, Avery\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e897\", \"logical_representation\": [\"2011/05/13\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/05/13?\", \"14 minutes\"], [\"what did I read on 2011/05/13?\", \"a book\"], [\"Did I read on 2011/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/14\": {\"dining\": {\"eid\": \"e603\", \"logical_representation\": [\"2011/05/14\", [\"Benjamin\", \"Avery\"], \"Italian food\", \"Broadway Market\"], \"text_template_based\": \"I ate Italian food at Broadway Market with Benjamin, Avery on  2011/05/14 when I was in London, UK.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Broadway Market ?\", \"Benjamin, Avery\"], [\"who did I eat Italian food with?\", \"Benjamin, Avery\"], [\"where did we eat Italian food during our trip to London, UK on  2011/05/14?\", \"Broadway Market\"], [\"when 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I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e904\", \"logical_representation\": [\"2011/05/18\", \"dinner\", \"tacos\", \"Olivia, Piper, Lydia, Nora, Layla, Kinsley, Eva\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/05/18\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2011/05/19\": {\"dining\": {\"eid\": \"e607\", \"logical_representation\": [\"2011/05/19\", [\"Benjamin\", \"Avery\"], \"street food\", \"Buck Street Market\"], \"text_template_based\": \"I ate street food at Buck Street Market with Benjamin, Avery on  2011/05/19 when I was in London, UK.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat street food with at Buck Street Market ?\", \"Benjamin, Avery\"], [\"who did I eat street food with?\", \"Benjamin, Avery\"], [\"where did we eat street food during our trip to London, UK on  2011/05/19?\", \"Buck Street Market\"], [\"when did we eat street food at Buck Street Market during our trip to London, UK?\", \"2011/05/19\"], [\"when did we eat at Buck Street Market?\", \"2011/05/19\"], [\"when did we eat street food?\", \"2011/05/19\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e905\", \"logical_representation\": [\"2011/05/19\", \"dinner\", \"indian food\", \"Carter, Andrew\"], \"text_template_based\": \"I had indian food for dinner with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/05/19?\", \"Carter, Andrew\"], [\"what did I eat for dinner on 2011/05/19\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2011/05/20\": {\"dining\": {\"eid\": \"e608\", \"logical_representation\": [\"2011/05/20\", [\"Benjamin\", \"Avery\"], \"Chinese food\", \"Broadway Market\"], \"text_template_based\": \"I ate Chinese food at Broadway Market with Benjamin, Avery on  2011/05/20 when I was in London, UK.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Broadway Market ?\", \"Benjamin, Avery\"], [\"who did I eat Chinese food with?\", \"Benjamin, Avery\"], [\"where did we eat Chinese food during our trip to London, UK on  2011/05/20?\", \"Broadway 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{\"personal_medical_care\": {\"eid\": \"e610\", \"logical_representation\": [\"2011/09/03\", \"I went for an annual physical checkup on 2011/09/03 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual physical checkup on 2011/09/03 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual physical checkup in 2011?\", \"2011/09/03\"], [\"where did I go for an annual physical checkup on 2011/09/03\", \"university hospital\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1069\", \"logical_representation\": [\"2011/09/03\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/09/03?\", \"25 minutes\"], [\"what did I read on 2011/09/03?\", \"social media\"], [\"Did I read on 2011/09/03?\", \"yes\"]], 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2011/01/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e717\", \"logical_representation\": [\"2011/01/20\", \"Layla, Nora, Nevaeh\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Layla, Nora, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Nevaeh during lunch hours on 2011/01/20?\", \"7 minutes\"], [\"who did I talk to on 2011/01/20?\", \"Layla, Nora, Nevaeh\"], [\"Did I talk to Layla, Nora, Nevaeh on 2011/01/20?\", \"yes\"], [\"Did I talk to anyone on 2011/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/27\": {\"parent_medical_care\": {\"eid\": \"e612\", \"logical_representation\": [\"2011/03/27\", \"my parents for their and I went for an annual physical checkup at the hospital on 2011/03/27.\", \"hospital\"], \"text_template_based\": \"my parents for their and I went for an annual physical checkup at the hospital on 2011/03/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2011?\", \"2011/03/27\"], [\"what did I do on 2011/03/27\", \"I took my parents for their for an  annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e818\", \"logical_representation\": [\"2011/03/27\", \"biking\"], \"text_template_based\": \"I did biking on 2011/03/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/27?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e819\", \"logical_representation\": [\"2011/03/27\", \"Piper, Lydia\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Piper, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia during lunch hours on 2011/03/27?\", \"49 minutes\"], [\"who did I talk to on 2011/03/27?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2011/03/27?\", \"yes\"], [\"Did I talk to anyone on 2011/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/04\": {\"parent_medical_care\": {\"eid\": \"e613\", \"logical_representation\": [\"2011/07/04\", \"I took my parents for their for an annual dental cleaning and checkup on 2011/07/04 at the hospital.\", \"hospital\"], \"text_template_based\": \"I took my parents for their for an annual dental cleaning and checkup on 2011/07/04 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2011?\", \"2011/07/04\"], [\"what did I do on 2011/07/04\", \"I took my parents for their for an annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e976\", \"logical_representation\": [\"2011/07/04\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/07/04?\", \"36 minutes\"], [\"what did I read on 2011/07/04?\", \"news\"], [\"Did I read on 2011/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/02\": {\"hobbies\": {\"eid\": \"e614\", \"logical_representation\": [\"2011/01/02\", \"I spent some time working out on 2011/01/02.\", \"working out\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I spent some time working out on 2011/01/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2011/01/02\"], [\"On 2011/01/02, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e688\", \"logical_representation\": [\"2011/01/02\", \"breakfast\", \"oatmeal\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/01/02?\", \"Kayden\"], [\"what did I eat for breakfast on 2011/01/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2011/01/07\": {\"hobbies\": {\"eid\": \"e615\", \"logical_representation\": [\"2011/01/07\", \"I really enjoyed meditation on 2011/01/07\", \"meditation\", \"Carter, Kayden\"], \"text_template_based\": \"I really enjoyed meditation on 2011/01/07\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2011/01/07\"], [\"On 2011/01/07, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e617\", \"logical_representation\": [\"2011/01/07\", \"I went grocery shopping with Emily. I bought some apples, raspberries, guava juice, pineapple juice, mineral water, and body lotion, conditioner, toothbrush\", \"apples, raspberries\", \"guava juice, pineapple juice, mineral water\", \"body lotion, conditioner, toothbrush\", \"Emily\"], \"text_template_based\": \"I went grocery shopping with Emily. I bought some apples, raspberries, guava juice, pineapple juice, mineral water, and body lotion, conditioner, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/01/07?\", \"apples, raspberries, guava juice, pineapple juice, mineral water, and body lotion, conditioner, toothbrush\"], [\"what fruits did I buy from the grocery store on 2011/01/07?\", \"apples, raspberries\"], [\"what drinks did I buy from the grocery store on 2011/01/07?\", \"guava juice, pineapple juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2011/01/07?\", \"body lotion, conditioner, toothbrush\"], [\"who was with me at the grocery store on 2011/01/07?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e697\", \"logical_representation\": [\"2011/01/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/01/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e698\", \"logical_representation\": [\"2011/01/07\", \"lunch\", \"pasta\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had pasta for lunch with Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/01/07?\", \"Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2011/01/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e699\", \"logical_representation\": [\"2011/01/07\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I watched a movie for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/07?\", \"48 minutes\"], [\"what did I watch on tv on 2011/01/07?\", \"a movie\"], [\"Did I watch tv on 2011/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/01\": {\"grocery\": {\"eid\": \"e616\", \"logical_representation\": [\"2011/01/01\", \"I bought some apricots, pineapple juice, sports drinks, body lotion, mouth wash, toothpaste, facial wash online.\", \"apricots\", \"pineapple juice, sports drinks\", \"body lotion, mouth wash, toothpaste, facial wash\", \"Willow, Benjamin\"], \"text_template_based\": \"I bought some apricots, pineapple juice, sports drinks, body lotion, mouth wash, toothpaste, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/01/01?\", \"apricots, pineapple juice, sports drinks, and body lotion, mouth wash, toothpaste, facial wash\"], [\"what fruits did I buy online on 2011/01/01?\", \"apricots\"], [\"what drinks did I buy online on 2011/01/01?\", \"pineapple juice, sports drinks\"], [\"what toiletries did I buy online on 2011/01/01?\", \"body lotion, mouth wash, toothpaste, facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e687\", \"logical_representation\": [\"2011/01/01\", \"biking\"], \"text_template_based\": \"I did biking on 2011/01/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/01?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2011/01/21\": {\"grocery\": {\"eid\": \"e618\", \"logical_representation\": [\"2011/01/21\", \"I went grocery shopping with Emily, Carter, Kayden, Andrew. I bought some apricots, guava, blueberries, peaches, pineapple juice, mineral water, sports drinks, and facial wash, shampoo\", \"apricots, guava, blueberries, peaches\", \"pineapple juice, mineral water, sports drinks\", \"facial wash, shampoo\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I went grocery shopping with Emily, Carter, Kayden, Andrew. I bought some apricots, guava, blueberries, peaches, pineapple juice, mineral water, sports drinks, and facial wash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/01/21?\", \"apricots, guava, blueberries, peaches, pineapple juice, mineral water, sports drinks, and facial wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2011/01/21?\", \"apricots, guava, blueberries, peaches\"], [\"what drinks did I buy from the grocery store on 2011/01/21?\", \"pineapple juice, mineral water, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2011/01/21?\", \"facial wash, shampoo\"], [\"who was with me at the grocery store on 2011/01/21?\", \"Emily, Carter, Kayden, Andrew\"]], \"multihop_qa_pairs\": []}}, \"2011/02/05\": {\"dating\": {\"eid\": \"e619\", \"logical_representation\": [\"2011/02/05\", \"Paisley\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Paisley on 2011/02/05 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/02/05\", \"Paisley\"], [\"where did I go for the date on 2011/02/05\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e744\", \"logical_representation\": [\"2011/02/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/02/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2011/02/15\": {\"dating\": {\"eid\": \"e620\", \"logical_representation\": [\"2011/02/15\", \"Marzieh\", \"a restaurant\"], \"text_template_based\": \"On 2011/02/15, I took Marzieh on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/02/15\", \"Marzieh\"], [\"where did I go for the date on 2011/02/15\", \"a restaurant\"]], \"multihop_qa_pairs\": []}}, \"2011/02/20\": {\"hobbies\": {\"eid\": \"e621\", \"logical_representation\": [\"2011/02/20\", \"I spent time meditation on 2011/02/20 with Emily.\", \"meditation\", \"Emily\"], \"text_template_based\": \"I spent time meditation on 2011/02/20 with Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Emily?\", \"2011/02/20\"], [\"On 2011/02/20, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2011/02/20?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e767\", \"logical_representation\": [\"2011/02/20\", \"lunch\", \"indian food\", \"Piper, Rylee, Eva\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/02/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e768\", \"logical_representation\": [\"2011/02/20\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I watched a movie for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/20?\", \"6 minutes\"], [\"what did I watch on tv on 2011/02/20?\", \"a movie\"], [\"Did I watch tv on 2011/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/25\": {\"hobbies\": {\"eid\": \"e622\", \"logical_representation\": [\"2011/02/25\", \"I spent some time yoga on 2011/02/25.\", \"yoga\", \"Emily\"], \"text_template_based\": \"I spent some time yoga on 2011/02/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2011/02/25\"], [\"On 2011/02/25, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e775\", \"logical_representation\": [\"2011/02/25\", \"running\"], \"text_template_based\": \"I did running on 2011/02/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e776\", \"logical_representation\": [\"2011/02/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Carter, Andrew. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/02/25?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2011/02/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e777\", \"logical_representation\": [\"2011/02/25\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/02/25?\", \"51 minutes\"], [\"what did I read on 2011/02/25?\", \"news\"], [\"Did I read on 2011/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/23\": {\"grocery\": {\"eid\": \"e623\", \"logical_representation\": [\"2011/02/23\", \"I bought some guava, watermelons, mandarins, oranges, chocolate milk, sports drinks, conditioner, paper towel, toilet paper online.\", \"guava, watermelons, mandarins, oranges\", \"chocolate milk, sports drinks\", \"conditioner, paper towel, toilet paper\", \"Layla, Avery, Nora, Nevaeh, Hazel, Olivia, Lydia, Piper, Kinsley, Piper, Claire, Eva, Rylee\"], \"text_template_based\": \"I bought some guava, watermelons, mandarins, oranges, chocolate milk, sports drinks, conditioner, paper towel, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/02/23?\", \"guava, watermelons, mandarins, oranges, chocolate milk, sports drinks, and conditioner, paper towel, toilet paper\"], [\"what fruits did I buy online on 2011/02/23?\", \"guava, watermelons, mandarins, oranges\"], [\"what drinks did I buy online on 2011/02/23?\", \"chocolate milk, sports drinks\"], [\"what toiletries did I buy online on 2011/02/23?\", \"conditioner, paper towel, toilet paper\"]], \"multihop_qa_pairs\": []}}, \"2011/03/01\": {\"hobbies\": {\"eid\": \"e624\", \"logical_representation\": [\"2011/03/01\", \"I spent time yoga on 2011/03/01 with Claire, Hazel.\", \"yoga\", \"Claire, Hazel\"], \"text_template_based\": \"I spent time yoga on 2011/03/01 with Claire, Hazel.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Claire, Hazel?\", \"2011/03/01\"], [\"On 2011/03/01, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2011/03/01?\", \"Claire, Hazel\"]], \"multihop_qa_pairs\": []}}, \"2011/02/28\": {\"grocery\": {\"eid\": \"e625\", \"logical_representation\": [\"2011/02/28\", \"I went grocery shopping. I bought some guava, bananas, blackberries, cherres, mineral water, and toothbrush\", \"guava, bananas, blackberries, cherres\", \"mineral water\", \"toothbrush\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I went grocery shopping. I bought some guava, bananas, blackberries, cherres, mineral water, and toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/02/28?\", \"guava, bananas, blackberries, cherres, mineral water, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2011/02/28?\", \"guava, bananas, blackberries, cherres\"], [\"what drinks did I buy from the grocery store on 2011/02/28?\", \"mineral water\"], [\"what toiletries did I buy from the grocery store on 2011/02/28?\", \"toothbrush\"]], \"multihop_qa_pairs\": []}}, \"2011/03/11\": {\"dating\": {\"eid\": \"e626\", \"logical_representation\": [\"2011/03/11\", \"Peyton\", \"a coffee Shop\"], \"text_template_based\": \"On 2011/03/11, I took Peyton on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/03/11\", \"Peyton\"], [\"where did I go for the date on 2011/03/11\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e627\", \"logical_representation\": [\"2011/03/11\", \"I went grocery shopping with Andrew, Kayden. I bought some watermelons, blackberries, peaches, bananas, milk, mineral water, guava juice, apple juice, and body lotion\", \"watermelons, blackberries, peaches, bananas\", \"milk, mineral water, guava juice, apple juice\", \"body lotion\", \"Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping with Andrew, Kayden. I bought some watermelons, blackberries, peaches, bananas, milk, mineral water, guava juice, apple juice, and body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/03/11?\", \"watermelons, blackberries, peaches, bananas, milk, mineral water, guava juice, apple juice, and body lotion\"], [\"what fruits did I buy from the grocery store on 2011/03/11?\", \"watermelons, blackberries, peaches, bananas\"], [\"what drinks did I buy from the grocery store on 2011/03/11?\", \"milk, mineral water, guava juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2011/03/11?\", \"body lotion\"], [\"who was with me at the grocery store on 2011/03/11?\", \"Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e796\", \"logical_representation\": [\"2011/03/11\", \"lunch\", \"a burger\", \"Piper, Nora, Nevaeh, Hazel, Piper, Avery, Eva, Kinsley\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/03/11\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2011/03/13\": {\"grocery\": {\"eid\": \"e628\", \"logical_representation\": [\"2011/03/13\", \"I bought some apples, mandarins, apricots, chocolate milk, mineral water, apple juice, toothbrush, mouthwash, shampoo from the grocery store. I saw Avery, Benjamin, Jackson at the grocery store.\", \"apples, mandarins, apricots\", \"chocolate milk, mineral water, apple juice\", \"toothbrush, mouthwash, shampoo\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I bought some apples, mandarins, apricots, chocolate milk, mineral water, apple juice, toothbrush, mouthwash, shampoo from the grocery store. I saw Avery, Benjamin, Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/03/13?\", \"apples, mandarins, apricots, chocolate milk, mineral water, apple juice, and toothbrush, mouthwash, shampoo\"], [\"what fruits did I buy from the grocery store on 2011/03/13?\", \"apples, mandarins, apricots\"], [\"what drinks did I buy from the grocery store on 2011/03/13?\", \"chocolate milk, mineral water, apple juice\"], [\"what toiletries did I buy from the grocery store on 2011/03/13?\", \"toothbrush, mouthwash, shampoo\"], [\"who did I see at the grocery store on 2011/03/13?\", \"Avery, Benjamin, Jackson\"]], \"multihop_qa_pairs\": []}}, \"2011/03/23\": {\"grocery\": {\"eid\": \"e629\", \"logical_representation\": [\"2011/03/23\", \"I went grocery shopping with Kayden. I bought some strawberries, apples, raspberries, pineapples, coffee, orange juice, and toothpaste, shampoo, body lotion\", \"strawberries, apples, raspberries, pineapples\", \"coffee, orange juice\", \"toothpaste, shampoo, body lotion\", \"Kayden\"], \"text_template_based\": \"I went grocery shopping with Kayden. I bought some strawberries, apples, raspberries, pineapples, coffee, orange juice, and toothpaste, shampoo, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/03/23?\", \"strawberries, apples, raspberries, pineapples, coffee, orange juice, and toothpaste, shampoo, body lotion\"], [\"what fruits did I buy from the grocery store on 2011/03/23?\", \"strawberries, apples, raspberries, pineapples\"], [\"what drinks did I buy from the grocery store on 2011/03/23?\", \"coffee, orange juice\"], [\"what toiletries did I buy from the grocery store on 2011/03/23?\", \"toothpaste, shampoo, body lotion\"], [\"who was with me at the grocery store on 2011/03/23?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e816\", \"logical_representation\": [\"2011/03/23\", \"biking\"], \"text_template_based\": \"I did biking on 2011/03/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/23?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2011/04/01\": {\"dating\": {\"eid\": \"e630\", \"logical_representation\": [\"2011/04/01\", \"Eleanor\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Eleanor on 2011/04/01 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/04/01\", \"Eleanor\"], [\"where did I go for the date on 2011/04/01\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e827\", \"logical_representation\": [\"2011/04/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/04/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e828\", \"logical_representation\": [\"2011/04/01\", \"Piper, Piper, Lydia\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Piper, Piper, Lydia for 35 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Lydia in the early evening on 2011/04/01?\", \"35 minutes\"], [\"who did I talk to on 2011/04/01?\", \"Piper, Piper, Lydia\"], [\"Did I talk to Piper, Piper, Lydia on 2011/04/01?\", \"yes\"], [\"Did I talk to anyone on 2011/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/02\": {\"grocery\": {\"eid\": \"e631\", \"logical_representation\": [\"2011/04/02\", \"I bought some pineapples, pears, oranges, guava juice, orange juice, shaving cream, paper towel, conditioner, toilet paper from the grocery store. I saw Kayden, Emily, Andrew, Carter at the grocery store.\", \"pineapples, pears, oranges\", \"guava juice, orange juice\", \"shaving cream, paper towel, conditioner, toilet paper\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I bought some pineapples, pears, oranges, guava juice, orange juice, shaving cream, paper towel, conditioner, toilet paper from the grocery store. I saw Kayden, Emily, Andrew, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/04/02?\", \"pineapples, pears, oranges, guava juice, orange juice, and shaving cream, paper towel, conditioner, toilet paper\"], [\"what fruits did I buy from the grocery store on 2011/04/02?\", \"pineapples, pears, oranges\"], [\"what drinks did I buy from the grocery store on 2011/04/02?\", \"guava juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2011/04/02?\", \"shaving cream, paper towel, conditioner, toilet paper\"], [\"who did I see at the grocery store on 2011/04/02?\", \"Kayden, Emily, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e829\", \"logical_representation\": [\"2011/04/02\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e830\", \"logical_representation\": [\"2011/04/02\", \"lunch\", \"sushi\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/04/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e831\", \"logical_representation\": [\"2011/04/02\", \"Kinsley, Eva\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva for 25 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva during lunch hours on 2011/04/02?\", \"25 minutes\"], [\"who did I talk to on 2011/04/02?\", \"Kinsley, Eva\"], [\"Did I talk to Kinsley, Eva on 2011/04/02?\", \"yes\"], [\"Did I talk to anyone on 2011/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/05\": {\"grocery\": {\"eid\": \"e632\", \"logical_representation\": [\"2011/04/05\", \"I went grocery shopping with Andrew, Emily, Carter, Kayden. I bought some pineapples, mangos, soda, mango juice, and shampoo, mouth wash, conditioner, toothpaste\", \"pineapples, mangos\", \"soda, mango juice\", \"shampoo, mouth wash, conditioner, toothpaste\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I went grocery shopping with Andrew, Emily, Carter, Kayden. I bought some pineapples, mangos, soda, mango juice, and shampoo, mouth wash, conditioner, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/04/05?\", \"pineapples, mangos, soda, mango juice, and shampoo, mouth wash, conditioner, toothpaste\"], [\"what fruits did I buy from the grocery store on 2011/04/05?\", \"pineapples, mangos\"], [\"what drinks did I buy from the grocery store on 2011/04/05?\", \"soda, mango juice\"], [\"what toiletries did I buy from the grocery store on 2011/04/05?\", \"shampoo, mouth wash, conditioner, toothpaste\"], [\"who was with me at the grocery store on 2011/04/05?\", \"Andrew, Emily, Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e834\", \"logical_representation\": [\"2011/04/05\", \"Eva, Hazel, Rylee\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel, Rylee for 9 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Rylee in the late afternoon on 2011/04/05?\", \"9 minutes\"], [\"who did I talk to on 2011/04/05?\", \"Eva, Hazel, Rylee\"], [\"Did I talk to Eva, Hazel, Rylee on 2011/04/05?\", \"yes\"], [\"Did I talk to anyone on 2011/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e835\", \"logical_representation\": [\"2011/04/05\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/04/05?\", \"23 minutes\"], [\"what did I read on 2011/04/05?\", \"news\"], [\"Did I read on 2011/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/15\": {\"dating\": {\"eid\": \"e633\", \"logical_representation\": [\"2011/04/15\", \"Hannah\", \"a park\"], \"text_template_based\": \"On 2011/04/15, I took Hannah on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/04/15\", \"Hannah\"], [\"where did I go for the date on 2011/04/15\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e857\", \"logical_representation\": [\"2011/04/15\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2011/04/11\": {\"hobbies\": {\"eid\": \"e634\", \"logical_representation\": [\"2011/04/11\", \"I spent some time working out on 2011/04/11.\", \"working out\", \"Andrew\"], \"text_template_based\": \"I spent some time working out on 2011/04/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2011/04/11\"], [\"On 2011/04/11, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e846\", \"logical_representation\": [\"2011/04/11\", \"lunch\", \"chinese food\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had chinese food for lunch with Emily, Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/04/11?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for lunch on 2011/04/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e847\", \"logical_representation\": [\"2011/04/11\", \"Kinsley, Rylee\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Kinsley, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee in the late afternoon on 2011/04/11?\", \"10 minutes\"], [\"who did I talk to on 2011/04/11?\", \"Kinsley, Rylee\"], [\"Did I talk to Kinsley, Rylee on 2011/04/11?\", \"yes\"], [\"Did I talk to anyone on 2011/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e848\", \"logical_representation\": [\"2011/04/11\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/04/11?\", \"11 minutes\"], [\"what did I read on 2011/04/11?\", \"a book\"], [\"Did I read on 2011/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/09\": {\"grocery\": {\"eid\": \"e635\", \"logical_representation\": [\"2011/04/09\", \"I went grocery shopping with Emily. I bought some watermelons, mangos, strawberries, bananas, chocolate milk, mineral water, pineapple juice, and paper towel, shampoo, toothbrush, mouth wash\", \"watermelons, mangos, strawberries, bananas\", \"chocolate milk, mineral water, pineapple juice\", \"paper towel, shampoo, toothbrush, mouth wash\", \"Emily\"], \"text_template_based\": \"I went grocery shopping with Emily. I bought some watermelons, mangos, strawberries, bananas, chocolate milk, mineral water, pineapple juice, and paper towel, shampoo, toothbrush, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/04/09?\", \"watermelons, mangos, strawberries, bananas, chocolate milk, mineral water, pineapple juice, and paper towel, shampoo, toothbrush, mouth wash\"], [\"what fruits did I buy from the grocery store on 2011/04/09?\", \"watermelons, mangos, strawberries, bananas\"], [\"what drinks did I buy from the grocery store on 2011/04/09?\", \"chocolate milk, mineral water, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2011/04/09?\", \"paper towel, shampoo, toothbrush, mouth wash\"], [\"who was with me at the grocery store on 2011/04/09?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e842\", \"logical_representation\": [\"2011/04/09\", \"lunch\", \"fish and chips\", \"Emily, Kayden\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/04/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e843\", \"logical_representation\": [\"2011/04/09\", \"news\", \"10 minutes\"], \"text_template_based\": \"I watched news for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/09?\", \"10 minutes\"], [\"what did I watch on tv on 2011/04/09?\", \"news\"], [\"Did I watch tv on 2011/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/17\": {\"hobbies\": {\"eid\": \"e636\", \"logical_representation\": [\"2011/04/17\", \"I spent time working out on 2011/04/17 with Kinsley, Claire, Nevaeh.\", \"working out\", \"Kinsley, Claire, Nevaeh\"], \"text_template_based\": \"I spent time working out on 2011/04/17 with Kinsley, Claire, Nevaeh.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Kinsley, Claire, Nevaeh?\", \"2011/04/17\"], [\"On 2011/04/17, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2011/04/17?\", \"Kinsley, Claire, Nevaeh\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e862\", \"logical_representation\": [\"2011/04/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/04/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2011/04/21\": {\"hobbies\": {\"eid\": \"e637\", \"logical_representation\": [\"2011/04/21\", \"I spent some time working out on 2011/04/21.\", \"working out\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I spent some time working out on 2011/04/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2011/04/21\"], [\"On 2011/04/21, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e867\", \"logical_representation\": [\"2011/04/21\", \"Piper, Layla, Claire\", \"in the early afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Claire for 14 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Claire in the early afternoon on 2011/04/21?\", \"14 minutes\"], [\"who did I talk to on 2011/04/21?\", \"Piper, Layla, Claire\"], [\"Did I talk to Piper, Layla, Claire on 2011/04/21?\", \"yes\"], [\"Did I talk to anyone on 2011/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/25\": {\"hobbies\": {\"eid\": \"e638\", \"logical_representation\": [\"2011/04/25\", \"I spent time yoga on 2011/04/25 with Avery, Willow.\", \"yoga\", \"Avery, Willow\"], \"text_template_based\": \"I spent time yoga on 2011/04/25 with Avery, Willow.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Avery, Willow?\", \"2011/04/25\"], [\"On 2011/04/25, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2011/04/25?\", \"Avery, Willow\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e870\", \"logical_representation\": [\"2011/04/25\", \"Olivia, Nora, Piper, Hazel\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Olivia, Nora, Piper, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Piper, Hazel late in the evening on 2011/04/25?\", \"43 minutes\"], [\"who did I talk to on 2011/04/25?\", \"Olivia, Nora, Piper, Hazel\"], [\"Did I talk to Olivia, Nora, Piper, Hazel on 2011/04/25?\", \"yes\"], [\"Did I talk to anyone on 2011/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e871\", \"logical_representation\": [\"2011/04/25\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/04/25?\", \"37 minutes\"], [\"what did I read on 2011/04/25?\", \"news\"], [\"Did I read on 2011/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/06\": {\"hobbies\": {\"eid\": \"e639\", \"logical_representation\": [\"2011/05/06\", \"I spent some time gardening on 2011/05/06.\", \"gardening\", \"Jackson, Willow\"], \"text_template_based\": \"I spent some time gardening on 2011/05/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2011/05/06\"], [\"On 2011/05/06, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e891\", \"logical_representation\": [\"2011/05/06\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/05/06?\", \"18 minutes\"], [\"what did I read on 2011/05/06?\", \"social media\"], [\"Did I read on 2011/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/07\": {\"grocery\": {\"eid\": \"e641\", \"logical_representation\": [\"2011/05/07\", \"I went grocery shopping with Emily, Andrew. I bought some bananas, raspberries, strawberries, apple juice, pineapple juice, and conditioner, body lotion, shampoo, toothbrush\", \"bananas, raspberries, strawberries\", \"apple juice, pineapple juice\", \"conditioner, body lotion, shampoo, toothbrush\", \"Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping with Emily, Andrew. I bought some bananas, raspberries, strawberries, apple juice, pineapple juice, and conditioner, body lotion, shampoo, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/05/07?\", \"bananas, raspberries, strawberries, apple juice, pineapple juice, and conditioner, body lotion, shampoo, toothbrush\"], [\"what fruits did I buy from the grocery store on 2011/05/07?\", \"bananas, raspberries, strawberries\"], [\"what drinks did I buy from the grocery store on 2011/05/07?\", \"apple juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2011/05/07?\", \"conditioner, body lotion, shampoo, toothbrush\"], [\"who was with me at the grocery store on 2011/05/07?\", \"Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e892\", \"logical_representation\": [\"2011/05/07\", \"lunch\", \"steak\", \"Piper, Nora, Rylee, Layla, Avery, Kinsley, Nevaeh, Eva, Piper, Hazel\"], \"text_template_based\": \"I had lunch with Piper, Nora, Rylee, Layla, Avery, Kinsley, Nevaeh, Eva, Piper, Hazel. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/05/07?\", \"Piper, Nora, Rylee, Layla, Avery, Kinsley, Nevaeh, Eva, Piper, Hazel\"], [\"what did I eat for lunch on 2011/05/07\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2011/05/26\": {\"grocery\": {\"eid\": \"e644\", \"logical_representation\": [\"2011/05/26\", \"I bought some mangos, raspberries, apricots, pineapples, soda, guava juice, conditioner, body lotion from the grocery store. I saw Carter, Emily, Kayden at the grocery store.\", \"mangos, raspberries, apricots, pineapples\", \"soda, guava juice\", \"conditioner, body lotion\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I bought some mangos, raspberries, apricots, pineapples, soda, guava juice, conditioner, body lotion from the grocery store. I saw Carter, Emily, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/05/26?\", \"mangos, raspberries, apricots, pineapples, soda, guava juice, and conditioner, body lotion\"], [\"what fruits did I buy from the grocery store on 2011/05/26?\", \"mangos, raspberries, apricots, pineapples\"], [\"what drinks did I buy from the grocery store on 2011/05/26?\", \"soda, guava juice\"], [\"what toiletries did I buy from the grocery store on 2011/05/26?\", \"conditioner, body lotion\"], [\"who did I see at the grocery store on 2011/05/26?\", \"Carter, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e913\", \"logical_representation\": [\"2011/05/26\", \"Claire, Piper\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Claire, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper late in the evening on 2011/05/26?\", \"32 minutes\"], [\"who did I talk to on 2011/05/26?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2011/05/26?\", \"yes\"], [\"Did I talk to anyone on 2011/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e914\", \"logical_representation\": [\"2011/05/26\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/05/26?\", \"37 minutes\"], [\"what did I read on 2011/05/26?\", \"a book\"], [\"Did I read on 2011/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/06\": {\"dating\": {\"eid\": \"e645\", \"logical_representation\": [\"2011/06/06\", \"Lillian\", \"a restaurant\"], \"text_template_based\": \"On 2011/06/06, I took Lillian on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/06/06\", \"Lillian\"], [\"where did I go for the date on 2011/06/06\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e927\", \"logical_representation\": [\"2011/06/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/06/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e928\", \"logical_representation\": [\"2011/06/06\", \"lunch\", \"fish and chips\", \"Jackson\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/06/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e929\", \"logical_representation\": [\"2011/06/06\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/06/06?\", \"7 minutes\"], [\"what did I read on 2011/06/06?\", \"social media\"], [\"Did I read on 2011/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e930\", \"logical_representation\": [\"2011/06/06\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I watched a documentary for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/06?\", \"54 minutes\"], [\"what did I watch on tv on 2011/06/06?\", \"a documentary\"], [\"Did I watch tv on 2011/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/05\": {\"grocery\": {\"eid\": \"e646\", \"logical_representation\": [\"2011/06/05\", \"I bought some peaches, pineapples, raspberries, guava juice, mineral water, toothbrush, mouth wash, toilet paper, shampoo from the grocery store. I saw Andrew, Emily at the grocery store.\", \"peaches, pineapples, raspberries\", \"guava juice, mineral water\", \"toothbrush, mouth wash, toilet paper, shampoo\", \"Andrew, Emily\"], \"text_template_based\": \"I bought some peaches, pineapples, raspberries, guava juice, mineral water, toothbrush, mouth wash, toilet paper, shampoo from the grocery store. I saw Andrew, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/06/05?\", \"peaches, pineapples, raspberries, guava juice, mineral water, and toothbrush, mouth wash, toilet paper, shampoo\"], [\"what fruits did I buy from the grocery store on 2011/06/05?\", \"peaches, pineapples, raspberries\"], [\"what drinks did I buy from the grocery store on 2011/06/05?\", \"guava juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2011/06/05?\", \"toothbrush, mouth wash, toilet paper, shampoo\"], [\"who did I see at the grocery store on 2011/06/05?\", \"Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e924\", \"logical_representation\": [\"2011/06/05\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/06/05?\", \"Emily\"], [\"what did I eat for breakfast on 2011/06/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e925\", \"logical_representation\": [\"2011/06/05\", \"lunch\", \"indian food\", \"Eva, Piper, Rylee, Piper\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/06/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e926\", \"logical_representation\": [\"2011/06/05\", \"Piper, Nora\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Piper, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora late in the evening on 2011/06/05?\", \"11 minutes\"], [\"who did I talk to on 2011/06/05?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2011/06/05?\", \"yes\"], [\"Did I talk to anyone on 2011/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/16\": {\"grocery\": {\"eid\": \"e647\", \"logical_representation\": [\"2011/06/16\", \"I bought some cherres, mangos, peaches, blackberries, coffee, guava juice, soda, chocolate milk, shampoo, paper towel from the grocery store. I saw Nevaeh, Claire, Eva, Lydia, Kinsley, Olivia, Nora, Piper, Layla, Avery, Hazel at the grocery store.\", \"cherres, mangos, peaches, blackberries\", \"coffee, guava juice, soda, chocolate milk\", \"shampoo, paper towel\", \"Nevaeh, Claire, Eva, Lydia, Kinsley, Olivia, Nora, Piper, Layla, Avery, Hazel\"], \"text_template_based\": \"I bought some cherres, mangos, peaches, blackberries, coffee, guava juice, soda, chocolate milk, shampoo, paper towel from the grocery store. I saw Nevaeh, Claire, Eva, Lydia, Kinsley, Olivia, Nora, Piper, Layla, Avery, Hazel at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/06/16?\", \"cherres, mangos, peaches, blackberries, coffee, guava juice, soda, chocolate milk, and shampoo, paper towel\"], [\"what fruits did I buy from the grocery store on 2011/06/16?\", \"cherres, mangos, peaches, blackberries\"], [\"what drinks did I buy from the grocery store on 2011/06/16?\", \"coffee, guava juice, soda, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2011/06/16?\", \"shampoo, paper towel\"], [\"who did I see at the grocery store on 2011/06/16?\", \"Nevaeh, Claire, Eva, Lydia, Kinsley, Olivia, Nora, Piper, Layla, Avery, Hazel\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e948\", \"logical_representation\": [\"2011/06/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/06/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2011/06/24\": {\"grocery\": {\"eid\": \"e648\", \"logical_representation\": [\"2011/06/24\", \"I went grocery shopping. I bought some apples, mandarins, peaches, chocolate milk, mineral water, and toilet paper, facial wash, toothpaste\", \"apples, mandarins, peaches\", \"chocolate milk, mineral water\", \"toilet paper, facial wash, toothpaste\", \"Jackson, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, mandarins, peaches, chocolate milk, mineral water, and toilet paper, facial wash, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/06/24?\", \"apples, mandarins, peaches, chocolate milk, mineral water, and toilet paper, facial wash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2011/06/24?\", \"apples, mandarins, peaches\"], [\"what drinks did I buy from the grocery store on 2011/06/24?\", \"chocolate milk, mineral water\"], [\"what toiletries did I buy from the grocery store on 2011/06/24?\", \"toilet paper, facial wash, toothpaste\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e961\", \"logical_representation\": [\"2011/06/24\", \"lunch\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/06/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e962\", \"logical_representation\": [\"2011/06/24\", \"dinner\", \"pasta\", \"Willow, Avery\"], \"text_template_based\": \"I had pasta for dinner with Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/06/24?\", \"Willow, Avery\"], [\"what did I eat for dinner on 2011/06/24\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2011/06/25\": {\"dating\": {\"eid\": \"e649\", \"logical_representation\": [\"2011/06/25\", \"Angel\", \"a park\"], \"text_template_based\": \"I went on a date with Angel on 2011/06/25 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/06/25\", \"Angel\"], [\"where did I go for the date on 2011/06/25\", \"a park\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e963\", \"logical_representation\": [\"2011/06/25\", \"dinner\", \"indian food\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner with Emily, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/06/25?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2011/06/25\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2011/07/01\": {\"dating\": {\"eid\": \"e650\", \"logical_representation\": [\"2011/07/01\", \"Isabella\", \"a park\"], \"text_template_based\": \"On 2011/07/01, I took Isabella on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/07/01\", \"Isabella\"], [\"where did I go for the date on 2011/07/01\", \"a park\"]], \"multihop_qa_pairs\": []}}, \"2011/07/06\": {\"hobbies\": {\"eid\": \"e651\", \"logical_representation\": [\"2011/07/06\", \"I spent time gardening on 2011/07/06 with Willow.\", \"gardening\", \"Willow\"], \"text_template_based\": \"I spent time gardening on 2011/07/06 with Willow.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Willow?\", \"2011/07/06\"], [\"On 2011/07/06, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2011/07/06?\", \"Willow\"]], \"multihop_qa_pairs\": []}}, \"2011/07/05\": {\"grocery\": {\"eid\": \"e652\", \"logical_representation\": [\"2011/07/05\", \"I bought some apples, blueberries, pineapple juice, orange juice, tea, toothbrush, body lotion, facial wash, paper towel online.\", \"apples, blueberries\", \"pineapple juice, orange juice, tea\", \"toothbrush, body lotion, facial wash, paper towel\", \"Jackson, Avery\"], \"text_template_based\": \"I bought some apples, blueberries, pineapple juice, orange juice, tea, toothbrush, body lotion, facial wash, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/07/05?\", \"apples, blueberries, pineapple juice, orange juice, tea, and toothbrush, body lotion, facial wash, paper towel\"], [\"what fruits did I buy online on 2011/07/05?\", \"apples, blueberries\"], [\"what drinks did I buy online on 2011/07/05?\", \"pineapple juice, orange juice, tea\"], [\"what toiletries did I buy online on 2011/07/05?\", \"toothbrush, body lotion, facial wash, paper towel\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e977\", \"logical_representation\": [\"2011/07/05\", \"dinner\", \"sandwich\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/07/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e978\", \"logical_representation\": [\"2011/07/05\", \"Kinsley, Claire, Eva, Olivia\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire, Eva, Olivia for 9 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Eva, Olivia during lunch hours on 2011/07/05?\", \"9 minutes\"], [\"who did I talk to on 2011/07/05?\", \"Kinsley, Claire, Eva, Olivia\"], [\"Did I talk to Kinsley, Claire, Eva, Olivia on 2011/07/05?\", \"yes\"], [\"Did I talk to anyone on 2011/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/10\": {\"hobbies\": {\"eid\": \"e653\", \"logical_representation\": [\"2011/07/10\", \"I really enjoyed gardening on 2011/07/10\", \"gardening\", \"Avery\"], \"text_template_based\": \"I really enjoyed gardening on 2011/07/10\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2011/07/10\"], [\"On 2011/07/10, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e987\", \"logical_representation\": [\"2011/07/10\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/07/10?\", \"Emily\"], [\"what did I eat for breakfast on 2011/07/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e988\", \"logical_representation\": [\"2011/07/10\", \"dinner\", \"sushi\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had sushi for dinner with Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/07/10?\", \"Emily, Kayden, Carter\"], [\"what did I eat for dinner on 2011/07/10\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2011/07/14\": {\"grocery\": {\"eid\": \"e654\", \"logical_representation\": [\"2011/07/14\", \"I went grocery shopping. I bought some bananas, peaches, blueberries, sports drinks, soda, guava juice, chocolate milk, and toothbrush\", \"bananas, peaches, blueberries\", \"sports drinks, soda, guava juice, chocolate milk\", \"toothbrush\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, peaches, blueberries, sports drinks, soda, guava juice, chocolate milk, and toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/07/14?\", \"bananas, peaches, blueberries, sports drinks, soda, guava juice, chocolate milk, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2011/07/14?\", \"bananas, peaches, blueberries\"], [\"what drinks did I buy from the grocery store on 2011/07/14?\", \"sports drinks, soda, guava juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2011/07/14?\", \"toothbrush\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e994\", \"logical_representation\": [\"2011/07/14\", \"Nevaeh, Nora, Claire\", \"in the early afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Nevaeh, Nora, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Claire in the early afternoon on 2011/07/14?\", \"55 minutes\"], [\"who did I talk to on 2011/07/14?\", \"Nevaeh, Nora, Claire\"], [\"Did I talk to Nevaeh, Nora, Claire on 2011/07/14?\", \"yes\"], [\"Did I talk to anyone on 2011/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/29\": {\"hobbies\": {\"eid\": \"e655\", \"logical_representation\": [\"2011/07/29\", \"I really enjoyed learning a language on 2011/07/29\", \"learning a language\", \"Piper, Avery\"], \"text_template_based\": \"I really enjoyed learning a language on 2011/07/29\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2011/07/29\"], [\"On 2011/07/29, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1012\", \"logical_representation\": [\"2011/07/29\", \"breakfast\", \"cereals\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1013\", \"logical_representation\": [\"2011/07/29\", \"Nevaeh, Kinsley\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Nevaeh, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley in the early afternoon on 2011/07/29?\", \"27 minutes\"], [\"who did I talk to on 2011/07/29?\", \"Nevaeh, Kinsley\"], [\"Did I talk to Nevaeh, Kinsley on 2011/07/29?\", \"yes\"], [\"Did I talk to anyone on 2011/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/02\": {\"grocery\": {\"eid\": \"e656\", \"logical_representation\": [\"2011/08/02\", \"I bought some guava, cherres, guava juice, soda, coffee, shaving cream, body lotion, shampoo, mouth wash from the grocery store. I saw Carter, Andrew at the grocery store.\", \"guava, cherres\", \"guava juice, soda, coffee\", \"shaving cream, body lotion, shampoo, mouth wash\", \"Carter, Andrew\"], \"text_template_based\": \"I bought some guava, cherres, guava juice, soda, coffee, shaving cream, body lotion, shampoo, mouth wash from the grocery store. I saw Carter, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/08/02?\", \"guava, cherres, guava juice, soda, coffee, and shaving cream, body lotion, shampoo, mouth wash\"], [\"what fruits did I buy from the grocery store on 2011/08/02?\", \"guava, cherres\"], [\"what drinks did I buy from the grocery store on 2011/08/02?\", \"guava juice, soda, coffee\"], [\"what toiletries did I buy from the grocery store on 2011/08/02?\", \"shaving cream, body lotion, shampoo, mouth wash\"], [\"who did I see at the grocery store on 2011/08/02?\", \"Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1019\", \"logical_representation\": [\"2011/08/02\", \"lunch\", \"tacos\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Kayden, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/08/02?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2011/08/02\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2011/08/10\": {\"dating\": {\"eid\": \"e657\", \"logical_representation\": [\"2011/08/10\", \"Cameron\", \"a park\"], \"text_template_based\": \"I went on a date with Cameron on 2011/08/10 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/08/10\", \"Cameron\"], [\"where did I go for the date on 2011/08/10\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1031\", \"logical_representation\": [\"2011/08/10\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2011/08/07\": {\"grocery\": {\"eid\": \"e658\", \"logical_representation\": [\"2011/08/07\", \"I bought some apricots, blueberries, mangos, apple juice, mineral water, body lotion, toothbrush, shaving cream online.\", \"apricots, blueberries, mangos\", \"apple juice, mineral water\", \"body lotion, toothbrush, shaving cream\", \"Andrew, Emily\"], \"text_template_based\": \"I bought some apricots, blueberries, mangos, apple juice, mineral water, body lotion, toothbrush, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/08/07?\", \"apricots, blueberries, mangos, apple juice, mineral water, and body lotion, toothbrush, shaving cream\"], [\"what fruits did I buy online on 2011/08/07?\", \"apricots, blueberries, mangos\"], [\"what drinks did I buy online on 2011/08/07?\", \"apple juice, mineral water\"], [\"what toiletries did I buy online on 2011/08/07?\", \"body lotion, toothbrush, shaving cream\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1028\", \"logical_representation\": [\"2011/08/07\", \"Rylee\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2011/08/07?\", \"49 minutes\"], [\"who did I talk to on 2011/08/07?\", \"Rylee\"], [\"Did I talk to Rylee on 2011/08/07?\", \"yes\"], [\"Did I talk to anyone on 2011/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1029\", \"logical_representation\": [\"2011/08/07\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/07?\", \"35 minutes\"], [\"what did I watch on tv on 2011/08/07?\", \"news\"], [\"Did I watch tv on 2011/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/13\": {\"dating\": {\"eid\": \"e659\", \"logical_representation\": [\"2011/08/13\", \"Angel\", \"a coffee Shop\"], \"text_template_based\": \"On 2011/08/13, I took Angel on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/08/13\", \"Angel\"], [\"where did I go for the date on 2011/08/13\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e660\", \"logical_representation\": [\"2011/08/13\", \"I went grocery shopping with Kayden, Emily. I bought some blueberries, strawberries, clementines, apples, mineral water, mango juice, and shampoo, conditioner, toothpaste, toothbrush\", \"blueberries, strawberries, clementines, apples\", \"mineral water, mango juice\", \"shampoo, conditioner, toothpaste, toothbrush\", \"Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping with Kayden, Emily. I bought some blueberries, strawberries, clementines, apples, mineral water, mango juice, and shampoo, conditioner, toothpaste, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/08/13?\", \"blueberries, strawberries, clementines, apples, mineral water, mango juice, and shampoo, conditioner, toothpaste, toothbrush\"], [\"what fruits did I buy from the grocery store on 2011/08/13?\", \"blueberries, strawberries, clementines, apples\"], [\"what drinks did I buy from the grocery store on 2011/08/13?\", \"mineral water, mango juice\"], [\"what toiletries did I buy from the grocery store on 2011/08/13?\", \"shampoo, conditioner, toothpaste, toothbrush\"], [\"who was with me at the grocery store on 2011/08/13?\", \"Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1034\", \"logical_representation\": [\"2011/08/13\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had tacos for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/13?\", \"Emily\"], [\"what did I eat for dinner on 2011/08/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1035\", \"logical_representation\": [\"2011/08/13\", \"Lydia, Rylee, Eva\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Lydia, Rylee, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Eva in the early evening on 2011/08/13?\", \"17 minutes\"], [\"who did I talk to on 2011/08/13?\", \"Lydia, Rylee, Eva\"], [\"Did I talk to Lydia, Rylee, Eva on 2011/08/13?\", \"yes\"], [\"Did I talk to anyone on 2011/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/24\": {\"dating\": {\"eid\": \"e661\", \"logical_representation\": [\"2011/08/24\", \"Isabella\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Isabella on 2011/08/24 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/08/24\", \"Isabella\"], [\"where did I go for the date on 2011/08/24\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1051\", \"logical_representation\": [\"2011/08/24\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/08/24?\", \"55 minutes\"], [\"what did I read on 2011/08/24?\", \"a book\"], [\"Did I read on 2011/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/26\": {\"grocery\": {\"eid\": \"e662\", \"logical_representation\": [\"2011/08/26\", \"I bought some pineapples, watermelons, peaches, apples, sports drinks, toothpaste online.\", \"pineapples, watermelons, peaches, apples\", \"sports drinks\", \"toothpaste\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I bought some pineapples, watermelons, peaches, apples, sports drinks, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/08/26?\", \"pineapples, watermelons, peaches, apples, sports drinks, and toothpaste\"], [\"what fruits did I buy online on 2011/08/26?\", \"pineapples, watermelons, peaches, apples\"], [\"what drinks did I buy online on 2011/08/26?\", \"sports drinks\"], [\"what toiletries did I buy online on 2011/08/26?\", \"toothpaste\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1054\", \"logical_representation\": [\"2011/08/26\", \"breakfast\", \"toast and cheese\", \"Claire, Rylee, Layla, Avery, Nevaeh, Piper\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1055\", \"logical_representation\": [\"2011/08/26\", \"lunch\", \"a burger\", \"Piper, Lydia, Piper, Avery, Claire, Rylee, Eva, Nevaeh, Hazel, Olivia, Nora, Kinsley, Layla\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/08/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1056\", \"logical_representation\": [\"2011/08/26\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/08/26?\", \"13 minutes\"], [\"what did I read on 2011/08/26?\", \"a book\"], [\"Did I read on 2011/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1057\", \"logical_representation\": [\"2011/08/26\", \"a tv series\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/26?\", \"14 minutes\"], [\"what did I watch on tv on 2011/08/26?\", \"a tv series\"], [\"Did I watch tv on 2011/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/02\": {\"grocery\": {\"eid\": \"e663\", \"logical_representation\": [\"2011/09/02\", \"I went grocery shopping. I bought some raspberries, mangos, guava, soda, chocolate milk, and shampoo\", \"raspberries, mangos, guava\", \"soda, chocolate milk\", \"shampoo\", \"Layla, Nevaeh, Rylee, Avery, Piper\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, mangos, guava, soda, chocolate milk, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/09/02?\", \"raspberries, mangos, guava, soda, chocolate milk, and shampoo\"], [\"what fruits did I buy from the grocery store on 2011/09/02?\", \"raspberries, mangos, guava\"], [\"what drinks did I buy from the grocery store on 2011/09/02?\", \"soda, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2011/09/02?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1067\", \"logical_representation\": [\"2011/09/02\", \"Claire\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2011/09/02?\", \"23 minutes\"], [\"who did I talk to on 2011/09/02?\", \"Claire\"], [\"Did I talk to Claire on 2011/09/02?\", \"yes\"], [\"Did I talk to anyone on 2011/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1068\", \"logical_representation\": [\"2011/09/02\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/09/02?\", \"19 minutes\"], [\"what did I read on 2011/09/02?\", \"a book\"], [\"Did I read on 2011/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/04\": {\"dating\": {\"eid\": \"e664\", \"logical_representation\": [\"2011/09/04\", \"Noah\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Noah on 2011/09/04 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/09/04\", \"Noah\"], [\"where did I go for the date on 2011/09/04\", \"a boba shop\"]], \"multihop_qa_pairs\": []}}, \"2011/09/05\": {\"grocery\": {\"eid\": \"e665\", \"logical_representation\": [\"2011/09/05\", \"I went grocery shopping with Claire, Rylee. I bought some apricots, watermelons, apple juice, and mouth wash\", \"apricots, watermelons\", \"apple juice\", \"mouth wash\", \"Claire, Rylee\"], \"text_template_based\": \"I went grocery shopping with Claire, Rylee. I bought some apricots, watermelons, apple juice, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/09/05?\", \"apricots, watermelons, apple juice, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2011/09/05?\", \"apricots, watermelons\"], [\"what drinks did I buy from the grocery store on 2011/09/05?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2011/09/05?\", \"mouth wash\"], [\"who was with me at the grocery store on 2011/09/05?\", \"Claire, Rylee\"]], \"multihop_qa_pairs\": []}}, \"2011/09/13\": {\"dating\": {\"eid\": \"e666\", \"logical_representation\": [\"2011/09/13\", \"Aurora\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Aurora on 2011/09/13 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/09/13\", \"Aurora\"], [\"where did I go for the date on 2011/09/13\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1081\", \"logical_representation\": [\"2011/09/13\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1082\", \"logical_representation\": [\"2011/09/13\", \"lunch\", \"a burger\", \"Hazel, Nevaeh, Lydia, Nora, Eva, Claire, Layla, Rylee, Piper, Kinsley, Olivia, Avery\"], \"text_template_based\": \"I had a burger for lunch with Hazel, Nevaeh, Lydia, Nora, Eva, Claire, Layla, Rylee, Piper, Kinsley, Olivia, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/09/13?\", \"Hazel, Nevaeh, Lydia, Nora, Eva, Claire, Layla, Rylee, Piper, Kinsley, Olivia, Avery\"], [\"what did I eat for lunch on 2011/09/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1083\", \"logical_representation\": [\"2011/09/13\", \"news\", \"51 minutes\"], \"text_template_based\": \"I watched news for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/13?\", \"51 minutes\"], [\"what did I watch on tv on 2011/09/13?\", \"news\"], [\"Did I watch tv on 2011/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/30\": {\"grocery\": {\"eid\": \"e667\", \"logical_representation\": [\"2011/09/30\", \"I went grocery shopping with Carter, Emily. I bought some guava, mineral water, milk, tea, and mouth wash, shaving cream, mouthwash, conditioner\", \"guava\", \"mineral water, milk, tea\", \"mouth wash, shaving cream, mouthwash, conditioner\", \"Carter, Emily\"], \"text_template_based\": \"I went grocery shopping with Carter, Emily. I bought some guava, mineral water, milk, tea, and mouth wash, shaving cream, mouthwash, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/09/30?\", \"guava, mineral water, milk, tea, and mouth wash, shaving cream, mouthwash, conditioner\"], [\"what fruits did I buy from the grocery store on 2011/09/30?\", \"guava\"], [\"what drinks did I buy from the grocery store on 2011/09/30?\", \"mineral water, milk, tea\"], [\"what toiletries did I buy from the grocery store on 2011/09/30?\", \"mouth wash, shaving cream, mouthwash, conditioner\"], [\"who was with me at the grocery store on 2011/09/30?\", \"Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1112\", \"logical_representation\": [\"2011/09/30\", \"Olivia, Piper, Piper\", \"late in the evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Olivia, Piper, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Piper late in the evening on 2011/09/30?\", \"23 minutes\"], [\"who did I talk to on 2011/09/30?\", \"Olivia, Piper, Piper\"], [\"Did I talk to Olivia, Piper, Piper on 2011/09/30?\", \"yes\"], [\"Did I talk to anyone on 2011/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/07\": {\"hobbies\": {\"eid\": \"e668\", \"logical_representation\": [\"2011/10/07\", \"I spent some time yoga on 2011/10/07.\", \"yoga\", \"Emily\"], \"text_template_based\": \"I spent some time yoga on 2011/10/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2011/10/07\"], [\"On 2011/10/07, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}}, \"2011/10/05\": {\"grocery\": {\"eid\": \"e669\", \"logical_representation\": [\"2011/10/05\", \"I went grocery shopping with Kayden, Andrew. I bought some blackberries, cherres, apple juice, sports drinks, and conditioner, toilet paper, body lotion\", \"blackberries, cherres\", \"apple juice, sports drinks\", \"conditioner, toilet paper, body lotion\", \"Kayden, Andrew\"], \"text_template_based\": \"I went grocery shopping with Kayden, Andrew. I bought some blackberries, cherres, apple juice, sports drinks, and conditioner, toilet paper, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/10/05?\", \"blackberries, cherres, apple juice, sports drinks, and conditioner, toilet paper, body lotion\"], [\"what fruits did I buy from the grocery store on 2011/10/05?\", \"blackberries, cherres\"], [\"what drinks did I buy from the grocery store on 2011/10/05?\", \"apple juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2011/10/05?\", \"conditioner, toilet paper, body lotion\"], [\"who was with me at the grocery store on 2011/10/05?\", \"Kayden, Andrew\"]], \"multihop_qa_pairs\": []}}, \"2011/10/10\": {\"grocery\": {\"eid\": \"e670\", \"logical_representation\": [\"2011/10/10\", \"I bought some strawberries, blackberries, coffee, orange juice, paper towel, mouthwash, shaving cream, body lotion from the grocery store. I saw Emily, Andrew at the grocery store.\", \"strawberries, blackberries\", \"coffee, orange juice\", \"paper towel, mouthwash, shaving cream, body lotion\", \"Emily, Andrew\"], \"text_template_based\": \"I bought some strawberries, blackberries, coffee, orange juice, paper towel, mouthwash, shaving cream, body lotion from the grocery store. I saw Emily, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/10/10?\", \"strawberries, blackberries, coffee, orange juice, and paper towel, mouthwash, shaving cream, body lotion\"], [\"what fruits did I buy from the grocery store on 2011/10/10?\", \"strawberries, blackberries\"], [\"what drinks did I buy from the grocery store on 2011/10/10?\", \"coffee, orange juice\"], [\"what toiletries did I buy from the grocery store on 2011/10/10?\", \"paper towel, mouthwash, shaving cream, body lotion\"], [\"who did I see at the grocery store on 2011/10/10?\", \"Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1124\", \"logical_representation\": [\"2011/10/10\", \"breakfast\", \"pancakes\", \"Kayden\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1125\", \"logical_representation\": [\"2011/10/10\", \"lunch\", \"a burger\", \"Olivia\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1126\", \"logical_representation\": [\"2011/10/10\", \"Nevaeh, Lydia\", \"in the early afternoon\", \"43 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia for 43 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia in the early afternoon on 2011/10/10?\", \"43 minutes\"], [\"who did I talk to on 2011/10/10?\", \"Nevaeh, Lydia\"], [\"Did I talk to Nevaeh, Lydia on 2011/10/10?\", \"yes\"], [\"Did I talk to anyone on 2011/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/15\": {\"dating\": {\"eid\": \"e671\", \"logical_representation\": [\"2011/10/15\", \"Isabella\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Isabella on 2011/10/15 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/10/15\", \"Isabella\"], [\"where did I go for the date on 2011/10/15\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1134\", \"logical_representation\": [\"2011/10/15\", \"dinner\", \"a burger\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had a burger for dinner with Kayden, Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/10/15?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2011/10/15\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2011/10/23\": {\"grocery\": {\"eid\": \"e672\", \"logical_representation\": [\"2011/10/23\", \"I went grocery shopping. I bought some blueberries, strawberries, apple juice, and body lotion, shampoo, shaving cream, paper towel\", \"blueberries, strawberries\", \"apple juice\", \"body lotion, shampoo, shaving cream, paper towel\", \"Rylee, Piper, Hazel, Nevaeh, Kinsley, Olivia, Claire, Layla, Eva, Nora\"], \"text_template_based\": \"I went grocery shopping. I bought some blueberries, strawberries, apple juice, and body lotion, shampoo, shaving cream, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/10/23?\", \"blueberries, strawberries, apple juice, and body lotion, shampoo, shaving cream, paper towel\"], [\"what fruits did I buy from the grocery store on 2011/10/23?\", \"blueberries, strawberries\"], [\"what drinks did I buy from the grocery store on 2011/10/23?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2011/10/23?\", \"body lotion, shampoo, shaving cream, paper towel\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1148\", \"logical_representation\": [\"2011/10/23\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I watched a tv series for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/23?\", \"18 minutes\"], [\"what did I watch on tv on 2011/10/23?\", \"a tv series\"], [\"Did I watch tv on 2011/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/28\": {\"grocery\": {\"eid\": \"e673\", \"logical_representation\": [\"2011/10/28\", \"I bought some bananas, apples, coffee, mouth wash, toilet paper online.\", \"bananas, apples\", \"coffee\", \"mouth wash, toilet paper\", \"Kayden\"], \"text_template_based\": \"I bought some bananas, apples, coffee, mouth wash, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/10/28?\", \"bananas, apples, coffee, and mouth wash, toilet paper\"], [\"what fruits did I buy online on 2011/10/28?\", \"bananas, apples\"], [\"what drinks did I buy online on 2011/10/28?\", \"coffee\"], [\"what toiletries did I buy online on 2011/10/28?\", \"mouth wash, toilet paper\"]], \"multihop_qa_pairs\": []}}, \"2011/11/02\": {\"hobbies\": {\"eid\": \"e674\", \"logical_representation\": [\"2011/11/02\", \"I spent time working out on 2011/11/02 with Kayden.\", \"working out\", \"Kayden\"], \"text_template_based\": \"I spent time working out on 2011/11/02 with Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Kayden?\", \"2011/11/02\"], [\"On 2011/11/02, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2011/11/02?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1156\", \"logical_representation\": [\"2011/11/02\", \"Piper, Claire, Nevaeh\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Nevaeh for 22 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Nevaeh in the early afternoon on 2011/11/02?\", \"22 minutes\"], [\"who did I talk to on 2011/11/02?\", \"Piper, Claire, Nevaeh\"], [\"Did I talk to Piper, Claire, Nevaeh on 2011/11/02?\", \"yes\"], [\"Did I talk to anyone on 2011/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1157\", \"logical_representation\": [\"2011/11/02\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/11/02?\", \"32 minutes\"], [\"what did I read on 2011/11/02?\", \"social media\"], [\"Did I read on 2011/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/31\": {\"grocery\": {\"eid\": \"e675\", \"logical_representation\": [\"2011/10/31\", \"I bought some apricots, guava, bananas, apple juice, orange juice, toilet paper, body lotion, mouth wash from the grocery store. I saw Jackson, Willow, Avery, Benjamin at the grocery store.\", \"apricots, guava, bananas\", \"apple juice, orange juice\", \"toilet paper, body lotion, mouth wash\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I bought some apricots, guava, bananas, apple juice, orange juice, toilet paper, body lotion, mouth wash from the grocery store. I saw Jackson, Willow, Avery, Benjamin at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/10/31?\", \"apricots, guava, bananas, apple juice, orange juice, and toilet paper, body lotion, mouth wash\"], [\"what fruits did I buy from the grocery store on 2011/10/31?\", \"apricots, guava, bananas\"], [\"what drinks did I buy from the grocery store on 2011/10/31?\", \"apple juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2011/10/31?\", \"toilet paper, body lotion, mouth wash\"], [\"who did I see at the grocery store on 2011/10/31?\", \"Jackson, Willow, Avery, Benjamin\"]], \"multihop_qa_pairs\": []}}, \"2011/11/01\": {\"grocery\": {\"eid\": \"e676\", \"logical_representation\": [\"2011/11/01\", \"I bought some watermelons, pears, mangos, apple juice, mineral water, toothpaste, mouth wash, paper towel, body lotion online.\", \"watermelons, pears, mangos\", \"apple juice, mineral water\", \"toothpaste, mouth wash, paper towel, body lotion\", \"Emily, Kayden\"], \"text_template_based\": \"I bought some watermelons, pears, mangos, apple juice, mineral water, toothpaste, mouth wash, paper towel, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/11/01?\", \"watermelons, pears, mangos, apple juice, mineral water, and toothpaste, mouth wash, paper towel, body lotion\"], [\"what fruits did I buy online on 2011/11/01?\", \"watermelons, pears, mangos\"], [\"what drinks did I buy online on 2011/11/01?\", \"apple juice, mineral water\"], [\"what toiletries did I buy online on 2011/11/01?\", \"toothpaste, mouth wash, paper towel, body lotion\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1155\", \"logical_representation\": [\"2011/11/01\", \"Kinsley, Piper\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Kinsley, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the late afternoon on 2011/11/01?\", \"27 minutes\"], [\"who did I talk to on 2011/11/01?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2011/11/01?\", \"yes\"], [\"Did I talk to anyone on 2011/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/08\": {\"hobbies\": {\"eid\": \"e677\", \"logical_representation\": [\"2011/11/08\", \"I spent some time meditation on 2011/11/08.\", \"meditation\", \"Rylee\"], \"text_template_based\": \"I spent some time meditation on 2011/11/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2011/11/08\"], [\"On 2011/11/08, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}}, \"2011/11/07\": {\"grocery\": {\"eid\": \"e678\", \"logical_representation\": [\"2011/11/07\", \"I bought some blueberries, mangos, pears, clementines, apple juice, chocolate milk, soda, sports drinks, body lotion, mouth wash, toilet paper online.\", \"blueberries, mangos, pears, clementines\", \"apple juice, chocolate milk, soda, sports drinks\", \"body lotion, mouth wash, toilet paper\", \"Nevaeh, Eva, Piper, Rylee\"], \"text_template_based\": \"I bought some blueberries, mangos, pears, clementines, apple juice, chocolate milk, soda, sports drinks, body lotion, mouth wash, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/11/07?\", \"blueberries, mangos, pears, clementines, apple juice, chocolate milk, soda, sports drinks, and body lotion, mouth wash, toilet paper\"], [\"what fruits did I buy online on 2011/11/07?\", \"blueberries, mangos, pears, clementines\"], [\"what drinks did I buy online on 2011/11/07?\", \"apple juice, chocolate milk, soda, sports drinks\"], [\"what toiletries did I buy online on 2011/11/07?\", \"body lotion, mouth wash, toilet paper\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1161\", \"logical_representation\": [\"2011/11/07\", \"Nevaeh, Nora, Avery, Rylee\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Nora, Avery, Rylee for 25 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Avery, Rylee in the early evening on 2011/11/07?\", \"25 minutes\"], [\"who did I talk to on 2011/11/07?\", \"Nevaeh, Nora, Avery, Rylee\"], [\"Did I talk to Nevaeh, Nora, Avery, Rylee on 2011/11/07?\", \"yes\"], [\"Did I talk to anyone on 2011/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1162\", \"logical_representation\": [\"2011/11/07\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/11/07?\", \"33 minutes\"], [\"what did I read on 2011/11/07?\", \"social media\"], [\"Did I read on 2011/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/16\": {\"dating\": {\"eid\": \"e679\", \"logical_representation\": [\"2011/11/16\", \"Greyson\", \"a restaurant\"], \"text_template_based\": \"On 2011/11/16, I took Greyson on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/11/16\", \"Greyson\"], [\"where did I go for the date on 2011/11/16\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1170\", \"logical_representation\": [\"2011/11/16\", \"Piper\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I talked to Piper for 24 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2011/11/16?\", \"24 minutes\"], [\"who did I talk to on 2011/11/16?\", \"Piper\"], [\"Did I talk to Piper on 2011/11/16?\", \"yes\"], [\"Did I talk to anyone on 2011/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1171\", \"logical_representation\": [\"2011/11/16\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/11/16?\", \"19 minutes\"], [\"what did I read on 2011/11/16?\", \"social media\"], [\"Did I read on 2011/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/18\": {\"grocery\": {\"eid\": \"e680\", \"logical_representation\": [\"2011/11/18\", \"I bought some clementines, coffee, milk, shaving cream online.\", \"clementines\", \"coffee, milk\", \"shaving cream\", \"Avery\"], \"text_template_based\": \"I bought some clementines, coffee, milk, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/11/18?\", \"clementines, coffee, milk, and shaving cream\"], [\"what fruits did I buy online on 2011/11/18?\", \"clementines\"], [\"what drinks did I buy online on 2011/11/18?\", \"coffee, milk\"], [\"what toiletries did I buy online on 2011/11/18?\", \"shaving cream\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1174\", \"logical_representation\": [\"2011/11/18\", \"dinner\", \"indian food\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/18\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2011/11/19\": {\"grocery\": {\"eid\": \"e681\", \"logical_representation\": [\"2011/11/19\", \"I went grocery shopping. I bought some clementines, pears, apple juice, pineapple juice, tea, and mouth wash, paper towel, body lotion, conditioner\", \"clementines, pears\", \"apple juice, pineapple juice, tea\", \"mouth wash, paper towel, body lotion, conditioner\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some clementines, pears, apple juice, pineapple juice, tea, and mouth wash, paper towel, body lotion, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/11/19?\", \"clementines, pears, apple juice, pineapple juice, tea, and mouth wash, paper towel, body lotion, conditioner\"], [\"what fruits did I buy from the grocery store on 2011/11/19?\", \"clementines, pears\"], [\"what drinks did I buy from the grocery store on 2011/11/19?\", \"apple juice, pineapple juice, tea\"], [\"what toiletries did I buy from the grocery store on 2011/11/19?\", \"mouth wash, paper towel, body lotion, conditioner\"]], \"multihop_qa_pairs\": []}}, \"2011/12/01\": {\"grocery\": {\"eid\": \"e682\", \"logical_representation\": [\"2011/12/01\", \"I bought some bananas, blackberries, raspberries, pineapples, orange juice, milk, coffee, facial wash online.\", \"bananas, blackberries, raspberries, pineapples\", \"orange juice, milk, coffee\", \"facial wash\", \"Piper, Olivia, Lydia, Avery, Hazel, Nevaeh\"], \"text_template_based\": \"I bought some bananas, blackberries, raspberries, pineapples, orange juice, milk, coffee, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2011/12/01?\", \"bananas, blackberries, raspberries, pineapples, orange juice, milk, coffee, and facial wash\"], [\"what fruits did I buy online on 2011/12/01?\", \"bananas, blackberries, raspberries, pineapples\"], [\"what drinks did I buy online on 2011/12/01?\", \"orange juice, milk, coffee\"], [\"what toiletries did I buy online on 2011/12/01?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1188\", \"logical_representation\": [\"2011/12/01\", \"dinner\", \"a burger\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/12/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1189\", \"logical_representation\": [\"2011/12/01\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/12/01?\", \"45 minutes\"], [\"what did I read on 2011/12/01?\", \"a book\"], [\"Did I read on 2011/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1190\", \"logical_representation\": [\"2011/12/01\", \"a documentary\", \"17 minutes\"], \"text_template_based\": \"I watched a documentary for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/01?\", \"17 minutes\"], [\"what did I watch on tv on 2011/12/01?\", \"a documentary\"], [\"Did I watch tv on 2011/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/05\": {\"dating\": {\"eid\": \"e683\", \"logical_representation\": [\"2011/12/05\", \"Nathan\", \"a park\"], \"text_template_based\": \"I went on a date with Nathan on 2011/12/05 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/12/05\", \"Nathan\"], [\"where did I go for the date on 2011/12/05\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1194\", \"logical_representation\": [\"2011/12/05\", \"running\"], \"text_template_based\": \"I did running on 2011/12/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/05?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1195\", \"logical_representation\": [\"2011/12/05\", \"dinner\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/12/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1196\", \"logical_representation\": [\"2011/12/05\", \"Avery, Eva, Nora\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Avery, Eva, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Nora in the morning on 2011/12/05?\", \"30 minutes\"], [\"who did I talk to on 2011/12/05?\", \"Avery, Eva, Nora\"], [\"Did I talk to Avery, Eva, Nora on 2011/12/05?\", \"yes\"], [\"Did I talk to anyone on 2011/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/09\": {\"grocery\": {\"eid\": \"e684\", \"logical_representation\": [\"2011/12/09\", \"I went grocery shopping with Carter. I bought some pineapples, tea, chocolate milk, mango juice, and shaving cream\", \"pineapples\", \"tea, chocolate milk, mango juice\", \"shaving cream\", \"Carter\"], \"text_template_based\": \"I went grocery shopping with Carter. I bought some pineapples, tea, chocolate milk, mango juice, and shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/12/09?\", \"pineapples, tea, chocolate milk, mango juice, and shaving cream\"], [\"what fruits did I buy from the grocery store on 2011/12/09?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2011/12/09?\", \"tea, chocolate milk, mango juice\"], [\"what toiletries did I buy from the grocery store on 2011/12/09?\", \"shaving cream\"], [\"who was with me at the grocery store on 2011/12/09?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1203\", \"logical_representation\": [\"2011/12/09\", \"Lydia\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2011/12/09?\", \"24 minutes\"], [\"who did I talk to on 2011/12/09?\", \"Lydia\"], [\"Did I talk to Lydia on 2011/12/09?\", \"yes\"], [\"Did I talk to anyone on 2011/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/13\": {\"dating\": {\"eid\": \"e685\", \"logical_representation\": [\"2011/12/13\", \"Everett\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Everett on 2011/12/13 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2011/12/13\", \"Everett\"], [\"where did I go for the date on 2011/12/13\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1207\", \"logical_representation\": [\"2011/12/13\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/12/13?\", \"43 minutes\"], [\"what did I read on 2011/12/13?\", \"news\"], [\"Did I read on 2011/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/20\": {\"grocery\": {\"eid\": \"e686\", \"logical_representation\": [\"2011/12/20\", \"I bought some apples, watermelons, bananas, blackberries, chocolate milk, facial wash, paper towel from the grocery store. I saw Avery, Lydia, Kinsley at the grocery store.\", \"apples, watermelons, bananas, blackberries\", \"chocolate milk\", \"facial wash, paper towel\", \"Avery, Lydia, Kinsley\"], \"text_template_based\": \"I bought some apples, watermelons, bananas, blackberries, chocolate milk, facial wash, paper towel from the grocery store. I saw Avery, Lydia, Kinsley at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2011/12/20?\", \"apples, watermelons, bananas, blackberries, chocolate milk, and facial wash, paper towel\"], [\"what fruits did I buy from the grocery store on 2011/12/20?\", \"apples, watermelons, bananas, blackberries\"], [\"what drinks did I buy from the grocery store on 2011/12/20?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2011/12/20?\", \"facial wash, paper towel\"], [\"who did I see at the grocery store on 2011/12/20?\", \"Avery, Lydia, Kinsley\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1215\", \"logical_representation\": [\"2011/12/20\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I watched a movie for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/20?\", \"21 minutes\"], [\"what did I watch on tv on 2011/12/20?\", \"a movie\"], [\"Did I watch tv on 2011/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/03\": {\"exercise\": {\"eid\": \"e689\", \"logical_representation\": [\"2011/01/03\", \"running\"], \"text_template_based\": \"I did running on 2011/01/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e690\", \"logical_representation\": [\"2011/01/03\", \"breakfast\", \"oatmeal\", \"Avery, Layla, Rylee, Eva, Hazel, Piper, Lydia, Piper, Claire, Kinsley\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/01/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e691\", \"logical_representation\": [\"2011/01/03\", \"lunch\", \"chinese food\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2011/01/04\": {\"dinner\": {\"eid\": \"e692\", \"logical_representation\": [\"2011/01/04\", \"dinner\", \"chinese food\", \"Kinsley, Avery, Nora, Rylee, Piper, Claire, Piper, Eva, Lydia, Nevaeh\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/01/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e693\", \"logical_representation\": [\"2011/01/04\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/01/04?\", \"18 minutes\"], [\"what did I watch on tv on 2011/01/04?\", \"a movie\"], [\"Did I watch tv on 2011/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/06\": {\"dinner\": {\"eid\": \"e694\", \"logical_representation\": [\"2011/01/06\", \"dinner\", \"pasta\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/01/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e695\", \"logical_representation\": [\"2011/01/06\", \"Lydia, Hazel, Avery, Layla\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Lydia, Hazel, Avery, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Avery, Layla during lunch hours on 2011/01/06?\", \"6 minutes\"], [\"who did I talk to on 2011/01/06?\", \"Lydia, Hazel, Avery, Layla\"], [\"Did I talk to Lydia, Hazel, Avery, Layla on 2011/01/06?\", \"yes\"], [\"Did I talk to anyone on 2011/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e696\", \"logical_representation\": [\"2011/01/06\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/01/06?\", \"9 minutes\"], [\"what did I read on 2011/01/06?\", \"social media\"], [\"Did I read on 2011/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/08\": {\"chat0\": {\"eid\": \"e700\", \"logical_representation\": [\"2011/01/08\", \"Eva, Piper, Kinsley, Olivia\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Eva, Piper, Kinsley, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Kinsley, Olivia late in the evening on 2011/01/08?\", \"42 minutes\"], [\"who did I talk to on 2011/01/08?\", \"Eva, Piper, Kinsley, Olivia\"], [\"Did I talk to Eva, Piper, Kinsley, Olivia on 2011/01/08?\", \"yes\"], [\"Did I talk to anyone on 2011/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/09\": {\"breakfast\": {\"eid\": \"e701\", \"logical_representation\": [\"2011/01/09\", \"breakfast\", \"cereals\", \"Avery, Benjamin\"], \"text_template_based\": \"I had breakfast with Avery, Benjamin. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/01/09?\", \"Avery, Benjamin\"], [\"what did I eat for breakfast on 2011/01/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e702\", \"logical_representation\": [\"2011/01/09\", \"lunch\", \"indian food\", \"Avery, Benjamin\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/09\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2011/01/10\": {\"lunch\": {\"eid\": \"e703\", \"logical_representation\": [\"2011/01/10\", \"lunch\", \"tacos\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had tacos for lunch with Carter, Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/01/10?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for lunch on 2011/01/10\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2011/01/11\": {\"exercise\": {\"eid\": \"e704\", \"logical_representation\": [\"2011/01/11\", \"biking\"], \"text_template_based\": \"I did biking on 2011/01/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e705\", \"logical_representation\": [\"2011/01/11\", \"lunch\", \"chinese food\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/01/11?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2011/01/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e706\", \"logical_representation\": [\"2011/01/11\", \"Claire, Lydia, Piper, Olivia\", \"in the late afternoon\", \"22 minutes\"], \"text_template_based\": \"I talked to Claire, Lydia, Piper, Olivia for 22 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Piper, Olivia in the late afternoon on 2011/01/11?\", \"22 minutes\"], [\"who did I talk to on 2011/01/11?\", \"Claire, Lydia, Piper, Olivia\"], [\"Did I talk to Claire, Lydia, Piper, Olivia on 2011/01/11?\", \"yes\"], [\"Did I talk to anyone on 2011/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/12\": {\"exercise\": {\"eid\": \"e707\", \"logical_representation\": [\"2011/01/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/01/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e708\", \"logical_representation\": [\"2011/01/12\", \"Hazel\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2011/01/12?\", \"12 minutes\"], [\"who did I talk to on 2011/01/12?\", \"Hazel\"], [\"Did I talk to Hazel on 2011/01/12?\", \"yes\"], [\"Did I talk to anyone on 2011/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e709\", \"logical_representation\": [\"2011/01/12\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/01/12?\", \"13 minutes\"], [\"what did I read on 2011/01/12?\", \"social media\"], [\"Did I read on 2011/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/13\": {\"exercise\": {\"eid\": \"e710\", \"logical_representation\": [\"2011/01/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/01/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e711\", \"logical_representation\": [\"2011/01/13\", \"Hazel, Avery\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Hazel, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery in the early afternoon on 2011/01/13?\", \"42 minutes\"], [\"who did I talk to on 2011/01/13?\", \"Hazel, Avery\"], [\"Did I talk to Hazel, Avery on 2011/01/13?\", \"yes\"], [\"Did I talk to anyone on 2011/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/14\": {\"chat0\": {\"eid\": \"e712\", \"logical_representation\": [\"2011/01/14\", \"Layla, Eva\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Layla, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva in the late afternoon on 2011/01/14?\", \"48 minutes\"], [\"who did I talk to on 2011/01/14?\", \"Layla, Eva\"], [\"Did I talk to Layla, Eva on 2011/01/14?\", \"yes\"], [\"Did I talk to anyone on 2011/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/17\": {\"read\": {\"eid\": \"e713\", \"logical_representation\": [\"2011/01/17\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/01/17?\", \"14 minutes\"], [\"what did I read on 2011/01/17?\", \"a book\"], [\"Did I read on 2011/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/18\": {\"chat0\": {\"eid\": \"e714\", \"logical_representation\": [\"2011/01/18\", \"Piper, Lydia, Olivia\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Piper, Lydia, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Olivia in the late afternoon on 2011/01/18?\", \"45 minutes\"], [\"who did I talk to on 2011/01/18?\", \"Piper, Lydia, Olivia\"], [\"Did I talk to Piper, Lydia, Olivia on 2011/01/18?\", \"yes\"], [\"Did I talk to anyone on 2011/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/19\": {\"chat0\": {\"eid\": \"e715\", \"logical_representation\": [\"2011/01/19\", \"Eva, Layla, Nevaeh, Piper\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Eva, Layla, Nevaeh, Piper for 33 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Nevaeh, Piper in the late afternoon on 2011/01/19?\", \"33 minutes\"], [\"who did I talk to on 2011/01/19?\", \"Eva, Layla, Nevaeh, Piper\"], [\"Did I talk to Eva, Layla, Nevaeh, Piper on 2011/01/19?\", \"yes\"], [\"Did I talk to anyone on 2011/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/22\": {\"exercise\": {\"eid\": \"e718\", \"logical_representation\": [\"2011/01/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/01/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e719\", \"logical_representation\": [\"2011/01/22\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/01/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2011/01/23\": {\"breakfast\": {\"eid\": \"e720\", \"logical_representation\": [\"2011/01/23\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/01/23\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2011/01/24\": {\"exercise\": {\"eid\": \"e721\", \"logical_representation\": [\"2011/01/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/01/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e722\", \"logical_representation\": [\"2011/01/24\", \"lunch\", \"steak\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/24\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2011/01/25\": {\"breakfast\": {\"eid\": \"e723\", \"logical_representation\": [\"2011/01/25\", \"breakfast\", \"toast and cheese\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had toast and cheese for breakfast with Jackson, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/01/25?\", \"Jackson, Avery, Willow\"], [\"what did I eat for breakfast on 2011/01/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e724\", \"logical_representation\": [\"2011/01/25\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/01/25?\", \"23 minutes\"], [\"what did I read on 2011/01/25?\", \"social media\"], [\"Did I read on 2011/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/27\": {\"exercise\": {\"eid\": \"e725\", \"logical_representation\": [\"2011/01/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/01/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e726\", \"logical_representation\": [\"2011/01/27\", \"breakfast\", \"oatmeal\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/01/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e727\", \"logical_representation\": [\"2011/01/27\", \"lunch\", \"chinese food\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e728\", \"logical_representation\": [\"2011/01/27\", \"Lydia, Olivia, Piper\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Lydia, Olivia, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Piper in the early afternoon on 2011/01/27?\", \"16 minutes\"], [\"who did I talk to on 2011/01/27?\", \"Lydia, Olivia, Piper\"], [\"Did I talk to Lydia, Olivia, Piper on 2011/01/27?\", \"yes\"], [\"Did I talk to anyone on 2011/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/28\": {\"exercise\": {\"eid\": \"e729\", \"logical_representation\": [\"2011/01/28\", \"running\"], \"text_template_based\": \"I did running on 2011/01/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e730\", \"logical_representation\": [\"2011/01/28\", \"lunch\", \"steak\", \"Emily\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e731\", \"logical_representation\": [\"2011/01/28\", \"Rylee, Lydia, Nevaeh, Nora\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Rylee, Lydia, Nevaeh, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Nevaeh, Nora in the early afternoon on 2011/01/28?\", \"7 minutes\"], [\"who did I talk to on 2011/01/28?\", \"Rylee, Lydia, Nevaeh, Nora\"], [\"Did I talk to Rylee, Lydia, Nevaeh, Nora on 2011/01/28?\", \"yes\"], [\"Did I talk to anyone on 2011/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/01/29\": {\"lunch\": {\"eid\": \"e732\", \"logical_representation\": [\"2011/01/29\", \"lunch\", \"tacos\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/01/29\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2011/01/31\": {\"exercise\": {\"eid\": \"e733\", \"logical_representation\": [\"2011/01/31\", \"biking\"], \"text_template_based\": \"I did biking on 2011/01/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/01/31?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e734\", \"logical_representation\": [\"2011/01/31\", \"breakfast\", \"pancakes\", \"Hazel, Eva, Avery, Rylee, Piper, Nora, Layla, Claire, Olivia, Nevaeh, Piper, Lydia\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/01/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e735\", \"logical_representation\": [\"2011/01/31\", \"dinner\", \"tacos\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Willow, Avery, Jackson. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/01/31?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for dinner on 2011/01/31\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2011/02/01\": {\"dinner\": {\"eid\": \"e736\", \"logical_representation\": [\"2011/02/01\", \"dinner\", \"chinese food\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Emily, Kayden, Andrew. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/02/01?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2011/02/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e737\", \"logical_representation\": [\"2011/02/01\", \"Rylee, Piper, Nora, Olivia\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Rylee, Piper, Nora, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Nora, Olivia in the early evening on 2011/02/01?\", \"10 minutes\"], [\"who did I talk to on 2011/02/01?\", \"Rylee, Piper, Nora, Olivia\"], [\"Did I talk to Rylee, Piper, Nora, Olivia on 2011/02/01?\", \"yes\"], [\"Did I talk to anyone on 2011/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/02\": {\"exercise\": {\"eid\": \"e738\", \"logical_representation\": [\"2011/02/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/02/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e739\", \"logical_representation\": [\"2011/02/02\", \"Avery, Piper, Nora\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Nora for 19 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Nora in the morning on 2011/02/02?\", \"19 minutes\"], [\"who did I talk to on 2011/02/02?\", \"Avery, Piper, Nora\"], [\"Did I talk to Avery, Piper, Nora on 2011/02/02?\", \"yes\"], [\"Did I talk to anyone on 2011/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/03\": {\"exercise\": {\"eid\": \"e740\", \"logical_representation\": [\"2011/02/03\", \"running\"], \"text_template_based\": \"I did running on 2011/02/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e741\", \"logical_representation\": [\"2011/02/03\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/03?\", \"44 minutes\"], [\"what did I watch on tv on 2011/02/03?\", \"a documentary\"], [\"Did I watch tv on 2011/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/04\": {\"chat0\": {\"eid\": \"e742\", \"logical_representation\": [\"2011/02/04\", \"Avery, Layla, Rylee, Piper\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Avery, Layla, Rylee, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Rylee, Piper in the morning on 2011/02/04?\", \"45 minutes\"], [\"who did I talk to on 2011/02/04?\", \"Avery, Layla, Rylee, Piper\"], [\"Did I talk to Avery, Layla, Rylee, Piper on 2011/02/04?\", \"yes\"], [\"Did I talk to anyone on 2011/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e743\", \"logical_representation\": [\"2011/02/04\", \"a tv series\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/04?\", \"44 minutes\"], [\"what did I watch on tv on 2011/02/04?\", \"a tv series\"], [\"Did I watch tv on 2011/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/06\": {\"dinner\": {\"eid\": \"e745\", \"logical_representation\": [\"2011/02/06\", \"dinner\", \"tacos\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/02/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e746\", \"logical_representation\": [\"2011/02/06\", \"Olivia, Kinsley, Nevaeh, Nora\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Olivia, Kinsley, Nevaeh, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Nevaeh, Nora in the morning on 2011/02/06?\", \"7 minutes\"], [\"who did I talk to on 2011/02/06?\", \"Olivia, Kinsley, Nevaeh, Nora\"], [\"Did I talk to Olivia, Kinsley, Nevaeh, Nora on 2011/02/06?\", \"yes\"], [\"Did I talk to anyone on 2011/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/07\": {\"chat0\": {\"eid\": \"e747\", \"logical_representation\": [\"2011/02/07\", \"Piper, Nora\", \"in the late afternoon\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper, Nora for 27 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora in the late afternoon on 2011/02/07?\", \"27 minutes\"], [\"who did I talk to on 2011/02/07?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2011/02/07?\", \"yes\"], [\"Did I talk to anyone on 2011/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e748\", \"logical_representation\": [\"2011/02/07\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/07?\", \"41 minutes\"], [\"what did I watch on tv on 2011/02/07?\", \"a movie\"], [\"Did I watch tv on 2011/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/09\": {\"exercise\": {\"eid\": \"e749\", \"logical_representation\": [\"2011/02/09\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/02/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/09?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e750\", \"logical_representation\": [\"2011/02/09\", \"lunch\", \"pasta\", \"Piper, Hazel, Layla, Rylee, Kinsley, Eva, Piper, Avery, Claire, Olivia\"], \"text_template_based\": \"I had pasta for lunch with Piper, Hazel, Layla, Rylee, Kinsley, Eva, Piper, Avery, Claire, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/02/09?\", \"Piper, Hazel, Layla, Rylee, Kinsley, Eva, Piper, Avery, Claire, Olivia\"], [\"what did I eat for lunch on 2011/02/09\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e751\", \"logical_representation\": [\"2011/02/09\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/02/09?\", \"55 minutes\"], [\"what did I read on 2011/02/09?\", \"a book\"], [\"Did I read on 2011/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/10\": {\"lunch\": {\"eid\": \"e752\", \"logical_representation\": [\"2011/02/10\", \"lunch\", \"steak\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/02/10\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2011/02/11\": {\"breakfast\": {\"eid\": \"e753\", \"logical_representation\": [\"2011/02/11\", \"breakfast\", \"toast and cheese\", \"Emily, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Carter. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/02/11?\", \"Emily, Carter\"], [\"what did I eat for breakfast on 2011/02/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e754\", \"logical_representation\": [\"2011/02/11\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/11?\", \"27 minutes\"], [\"what did I watch on tv on 2011/02/11?\", \"a tv series\"], [\"Did I watch tv on 2011/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/12\": {\"exercise\": {\"eid\": \"e755\", \"logical_representation\": [\"2011/02/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/02/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e756\", \"logical_representation\": [\"2011/02/12\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/02/12?\", \"20 minutes\"], [\"what did I read on 2011/02/12?\", \"a book\"], [\"Did I read on 2011/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e757\", \"logical_representation\": [\"2011/02/12\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/12?\", \"12 minutes\"], [\"what did I watch on tv on 2011/02/12?\", \"a movie\"], [\"Did I watch tv on 2011/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/13\": {\"exercise\": {\"eid\": \"e758\", \"logical_representation\": [\"2011/02/13\", \"running\"], \"text_template_based\": \"I did running on 2011/02/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/13?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e759\", \"logical_representation\": [\"2011/02/13\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Lydia, Rylee, Piper, Nevaeh, Nora, Piper, Hazel, Layla, Olivia, Avery\"], \"text_template_based\": \"I had breakfast with Kinsley, Lydia, Rylee, Piper, Nevaeh, Nora, Piper, Hazel, Layla, Olivia, Avery. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/02/13?\", \"Kinsley, Lydia, Rylee, Piper, Nevaeh, Nora, Piper, Hazel, Layla, Olivia, Avery\"], [\"what did I eat for breakfast on 2011/02/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e760\", \"logical_representation\": [\"2011/02/13\", \"dinner\", \"chinese food\", \"Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/02/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e761\", \"logical_representation\": [\"2011/02/13\", \"Nevaeh\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2011/02/13?\", \"11 minutes\"], [\"who did I talk to on 2011/02/13?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2011/02/13?\", \"yes\"], [\"Did I talk to anyone on 2011/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/16\": {\"dinner\": {\"eid\": \"e762\", \"logical_representation\": [\"2011/02/16\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/02/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e763\", \"logical_representation\": [\"2011/02/16\", \"Avery, Lydia\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia for 43 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia during lunch hours on 2011/02/16?\", \"43 minutes\"], [\"who did I talk to on 2011/02/16?\", \"Avery, Lydia\"], [\"Did I talk to Avery, Lydia on 2011/02/16?\", \"yes\"], [\"Did I talk to anyone on 2011/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/17\": {\"lunch\": {\"eid\": \"e764\", \"logical_representation\": [\"2011/02/17\", \"lunch\", \"a burger\", \"Benjamin\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/02/17\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2011/02/18\": {\"watch tv\": {\"eid\": \"e765\", \"logical_representation\": [\"2011/02/18\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/18?\", \"5 minutes\"], [\"what did I watch on tv on 2011/02/18?\", \"a movie\"], [\"Did I watch tv on 2011/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/19\": {\"dinner\": {\"eid\": \"e766\", \"logical_representation\": [\"2011/02/19\", \"dinner\", \"tacos\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I had dinner with Willow, Avery, Benjamin. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/02/19?\", \"Willow, Avery, Benjamin\"], [\"what did I eat for dinner on 2011/02/19\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2011/02/21\": {\"breakfast\": {\"eid\": \"e769\", \"logical_representation\": [\"2011/02/21\", \"breakfast\", \"peanut-butter-jam\", \"Willow\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/02/21?\", \"Willow\"], [\"what did I eat for breakfast on 2011/02/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e770\", \"logical_representation\": [\"2011/02/21\", \"Lydia, Rylee, Olivia, Nora\", \"late in the evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Lydia, Rylee, Olivia, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Olivia, Nora late in the evening on 2011/02/21?\", \"44 minutes\"], [\"who did I talk to on 2011/02/21?\", \"Lydia, Rylee, Olivia, Nora\"], [\"Did I talk to Lydia, Rylee, Olivia, Nora on 2011/02/21?\", \"yes\"], [\"Did I talk to anyone on 2011/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e771\", \"logical_representation\": [\"2011/02/21\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/02/21?\", \"18 minutes\"], [\"what did I read on 2011/02/21?\", \"social media\"], [\"Did I read on 2011/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/22\": {\"social media\": {\"eid\": \"e772\", \"logical_representation\": [\"2011/02/22\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/02/22?\", \"30 minutes\"], [\"what did I read on 2011/02/22?\", \"social media\"], [\"Did I read on 2011/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/24\": {\"exercise\": {\"eid\": \"e773\", \"logical_representation\": [\"2011/02/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/02/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/02/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e774\", \"logical_representation\": [\"2011/02/24\", \"a documentary\", \"28 minutes\"], \"text_template_based\": \"I watched a documentary for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/24?\", \"28 minutes\"], [\"what did I watch on tv on 2011/02/24?\", \"a documentary\"], [\"Did I watch tv on 2011/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/26\": {\"dinner\": {\"eid\": \"e778\", \"logical_representation\": [\"2011/02/26\", \"dinner\", \"chinese food\", \"Benjamin\"], \"text_template_based\": \"I had chinese food for dinner with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/02/26?\", \"Benjamin\"], [\"what did I eat for dinner on 2011/02/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e779\", \"logical_representation\": [\"2011/02/26\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/02/26?\", \"5 minutes\"], [\"what did I watch on tv on 2011/02/26?\", \"a movie\"], [\"Did I watch tv on 2011/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/02/27\": {\"dinner\": {\"eid\": \"e780\", \"logical_representation\": [\"2011/02/27\", \"dinner\", \"steak\", \"Piper, Claire, Piper, Nora, Nevaeh, Olivia, Avery, Rylee, Lydia, Layla, Kinsley, Eva, Hazel\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/02/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e781\", \"logical_representation\": [\"2011/02/27\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/02/27?\", \"41 minutes\"], [\"what did I read on 2011/02/27?\", \"a book\"], [\"Did I read on 2011/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/02\": {\"chat0\": {\"eid\": \"e782\", \"logical_representation\": [\"2011/03/02\", \"Nevaeh, Hazel, Claire, Piper\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Nevaeh, Hazel, Claire, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Claire, Piper in the early evening on 2011/03/02?\", \"20 minutes\"], [\"who did I talk to on 2011/03/02?\", \"Nevaeh, Hazel, Claire, Piper\"], [\"Did I talk to Nevaeh, Hazel, Claire, Piper on 2011/03/02?\", \"yes\"], [\"Did I talk to anyone on 2011/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e783\", \"logical_representation\": [\"2011/03/02\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/03/02?\", \"23 minutes\"], [\"what did I read on 2011/03/02?\", \"news\"], [\"Did I read on 2011/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/03\": {\"breakfast\": {\"eid\": \"e784\", \"logical_representation\": [\"2011/03/03\", \"breakfast\", \"cereals\", \"Avery, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/03\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2011/03/04\": {\"chat0\": {\"eid\": \"e785\", \"logical_representation\": [\"2011/03/04\", \"Kinsley\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2011/03/04?\", \"11 minutes\"], [\"who did I talk to on 2011/03/04?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2011/03/04?\", \"yes\"], [\"Did I talk to anyone on 2011/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e786\", \"logical_representation\": [\"2011/03/04\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/03/04?\", \"5 minutes\"], [\"what did I read on 2011/03/04?\", \"a book\"], [\"Did I read on 2011/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/05\": {\"breakfast\": {\"eid\": \"e787\", \"logical_representation\": [\"2011/03/05\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2011/03/06\": {\"breakfast\": {\"eid\": \"e788\", \"logical_representation\": [\"2011/03/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Layla, Piper\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e789\", \"logical_representation\": [\"2011/03/06\", \"Kinsley\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the late afternoon on 2011/03/06?\", \"34 minutes\"], [\"who did I talk to on 2011/03/06?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2011/03/06?\", \"yes\"], [\"Did I talk to anyone on 2011/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/07\": {\"chat0\": {\"eid\": \"e790\", \"logical_representation\": [\"2011/03/07\", \"Nora, Kinsley, Hazel, Avery\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Nora, Kinsley, Hazel, Avery for 20 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Hazel, Avery in the late afternoon on 2011/03/07?\", \"20 minutes\"], [\"who did I talk to on 2011/03/07?\", \"Nora, Kinsley, Hazel, Avery\"], [\"Did I talk to Nora, Kinsley, Hazel, Avery on 2011/03/07?\", \"yes\"], [\"Did I talk to anyone on 2011/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e791\", \"logical_representation\": [\"2011/03/07\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I watched a tv series for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/07?\", \"6 minutes\"], [\"what did I watch on tv on 2011/03/07?\", \"a tv series\"], [\"Did I watch tv on 2011/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/08\": {\"lunch\": {\"eid\": \"e792\", \"logical_representation\": [\"2011/03/08\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had pasta for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/03/08?\", \"Emily\"], [\"what did I eat for lunch on 2011/03/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e793\", \"logical_representation\": [\"2011/03/08\", \"dinner\", \"sandwich\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/03/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2011/03/10\": {\"dinner\": {\"eid\": \"e794\", \"logical_representation\": [\"2011/03/10\", \"dinner\", \"pasta\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/03/10?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2011/03/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e795\", \"logical_representation\": [\"2011/03/10\", \"a tv series\", \"19 minutes\"], \"text_template_based\": \"I watched a tv series for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/10?\", \"19 minutes\"], [\"what did I watch on tv on 2011/03/10?\", \"a tv series\"], [\"Did I watch tv on 2011/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/12\": {\"social media\": {\"eid\": \"e797\", \"logical_representation\": [\"2011/03/12\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/03/12?\", \"40 minutes\"], [\"what did I read on 2011/03/12?\", \"social media\"], [\"Did I read on 2011/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/15\": {\"chat0\": {\"eid\": \"e798\", \"logical_representation\": [\"2011/03/15\", \"Lydia, Piper, Piper, Layla\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Lydia, Piper, Piper, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Piper, Layla in the early afternoon on 2011/03/15?\", \"26 minutes\"], [\"who did I talk to on 2011/03/15?\", \"Lydia, Piper, Piper, Layla\"], [\"Did I talk to Lydia, Piper, Piper, Layla on 2011/03/15?\", \"yes\"], [\"Did I talk to anyone on 2011/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e799\", \"logical_representation\": [\"2011/03/15\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/03/15?\", \"31 minutes\"], [\"what did I read on 2011/03/15?\", \"news\"], [\"Did I read on 2011/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/16\": {\"watch tv\": {\"eid\": \"e800\", \"logical_representation\": [\"2011/03/16\", \"a documentary\", \"28 minutes\"], \"text_template_based\": \"I watched a documentary for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/16?\", \"28 minutes\"], [\"what did I watch on tv on 2011/03/16?\", \"a documentary\"], [\"Did I watch tv on 2011/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/17\": {\"exercise\": {\"eid\": \"e801\", \"logical_representation\": [\"2011/03/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/03/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2011/03/18\": {\"dinner\": {\"eid\": \"e802\", \"logical_representation\": [\"2011/03/18\", \"dinner\", \"pasta\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/03/18\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2011/03/19\": {\"breakfast\": {\"eid\": \"e803\", \"logical_representation\": [\"2011/03/19\", \"breakfast\", \"toast and cheese\", \"Piper, Lydia, Olivia, Avery, Eva, Rylee, Kinsley, Nevaeh, Nora, Hazel\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e804\", \"logical_representation\": [\"2011/03/19\", \"lunch\", \"steak\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/03/19\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e805\", \"logical_representation\": [\"2011/03/19\", \"dinner\", \"pasta\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/03/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e806\", \"logical_representation\": [\"2011/03/19\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/03/19?\", \"19 minutes\"], [\"what did I read on 2011/03/19?\", \"a book\"], [\"Did I read on 2011/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e807\", \"logical_representation\": [\"2011/03/19\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/19?\", \"15 minutes\"], [\"what did I watch on tv on 2011/03/19?\", \"news\"], [\"Did I watch tv on 2011/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/20\": {\"exercise\": {\"eid\": \"e808\", \"logical_representation\": [\"2011/03/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2011/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e809\", \"logical_representation\": [\"2011/03/20\", \"lunch\", \"chinese food\", \"Nevaeh, Kinsley, Claire, Layla\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/03/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2011/03/21\": {\"exercise\": {\"eid\": \"e810\", \"logical_representation\": [\"2011/03/21\", \"biking\"], \"text_template_based\": \"I did biking on 2011/03/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/03/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e811\", \"logical_representation\": [\"2011/03/21\", \"a movie\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/21?\", \"54 minutes\"], [\"what did I watch on tv on 2011/03/21?\", \"a movie\"], [\"Did I watch tv on 2011/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/22\": {\"breakfast\": {\"eid\": \"e812\", \"logical_representation\": [\"2011/03/22\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e813\", \"logical_representation\": [\"2011/03/22\", \"lunch\", \"chinese food\", \"Olivia, Hazel, Rylee, Lydia, Claire\"], \"text_template_based\": \"I had lunch with Olivia, Hazel, Rylee, Lydia, Claire. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/03/22?\", \"Olivia, Hazel, Rylee, Lydia, Claire\"], [\"what did I eat for lunch on 2011/03/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e814\", \"logical_representation\": [\"2011/03/22\", \"dinner\", \"pasta\", \"Piper, Avery, Olivia, Hazel\"], \"text_template_based\": \"I had dinner with Piper, Avery, Olivia, Hazel. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/03/22?\", \"Piper, Avery, Olivia, Hazel\"], [\"what did I eat for dinner on 2011/03/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e815\", \"logical_representation\": [\"2011/03/22\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I watched a movie for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/22?\", \"32 minutes\"], [\"what did I watch on tv on 2011/03/22?\", \"a movie\"], [\"Did I watch tv on 2011/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/24\": {\"read\": {\"eid\": \"e817\", \"logical_representation\": [\"2011/03/24\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/03/24?\", \"37 minutes\"], [\"what did I read on 2011/03/24?\", \"a book\"], [\"Did I read on 2011/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/29\": {\"lunch\": {\"eid\": \"e820\", \"logical_representation\": [\"2011/03/29\", \"lunch\", \"steak\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/03/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e821\", \"logical_representation\": [\"2011/03/29\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/29?\", \"46 minutes\"], [\"what did I watch on tv on 2011/03/29?\", \"news\"], [\"Did I watch tv on 2011/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/30\": {\"breakfast\": {\"eid\": \"e822\", \"logical_representation\": [\"2011/03/30\", \"breakfast\", \"cereals\", \"Piper, Avery, Layla, Claire, Nevaeh, Nora, Eva, Piper, Hazel, Lydia\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/30\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e823\", \"logical_representation\": [\"2011/03/30\", \"dinner\", \"chinese food\", \"Claire, Layla, Hazel, Kinsley, Nevaeh, Avery\"], \"text_template_based\": \"I had chinese food for dinner with Claire, Layla, Hazel, Kinsley, Nevaeh, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/03/30?\", \"Claire, Layla, Hazel, Kinsley, Nevaeh, Avery\"], [\"what did I eat for dinner on 2011/03/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e824\", \"logical_representation\": [\"2011/03/30\", \"Avery, Nora, Piper, Nevaeh\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I talked to Avery, Nora, Piper, Nevaeh for 37 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora, Piper, Nevaeh in the early afternoon on 2011/03/30?\", \"37 minutes\"], [\"who did I talk to on 2011/03/30?\", \"Avery, Nora, Piper, Nevaeh\"], [\"Did I talk to Avery, Nora, Piper, Nevaeh on 2011/03/30?\", \"yes\"], [\"Did I talk to anyone on 2011/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e825\", \"logical_representation\": [\"2011/03/30\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/03/30?\", \"22 minutes\"], [\"what did I watch on tv on 2011/03/30?\", \"a tv series\"], [\"Did I watch tv on 2011/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/03/31\": {\"breakfast\": {\"eid\": \"e826\", \"logical_representation\": [\"2011/03/31\", \"breakfast\", \"pancakes\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/03/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/04\": {\"dinner\": {\"eid\": \"e832\", \"logical_representation\": [\"2011/04/04\", \"dinner\", \"pasta\", \"Piper, Piper, Nevaeh, Nora, Eva, Layla, Olivia\"], \"text_template_based\": \"I had pasta for dinner with Piper, Piper, Nevaeh, Nora, Eva, Layla, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/04/04?\", \"Piper, Piper, Nevaeh, Nora, Eva, Layla, Olivia\"], [\"what did I eat for dinner on 2011/04/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e833\", \"logical_representation\": [\"2011/04/04\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/04/04?\", \"44 minutes\"], [\"what did I read on 2011/04/04?\", \"social media\"], [\"Did I read on 2011/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/06\": {\"breakfast\": {\"eid\": \"e836\", \"logical_representation\": [\"2011/04/06\", \"breakfast\", \"oatmeal\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/06\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e837\", \"logical_representation\": [\"2011/04/06\", \"dinner\", \"pasta\", \"Emily, Carter\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/04/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e838\", \"logical_representation\": [\"2011/04/06\", \"Claire, Piper\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Claire, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper during lunch hours on 2011/04/06?\", \"18 minutes\"], [\"who did I talk to on 2011/04/06?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2011/04/06?\", \"yes\"], [\"Did I talk to anyone on 2011/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e839\", \"logical_representation\": [\"2011/04/06\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/04/06?\", \"20 minutes\"], [\"what did I read on 2011/04/06?\", \"social media\"], [\"Did I read on 2011/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/07\": {\"chat0\": {\"eid\": \"e840\", \"logical_representation\": [\"2011/04/07\", \"Kinsley, Lydia\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Kinsley, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia in the morning on 2011/04/07?\", \"35 minutes\"], [\"who did I talk to on 2011/04/07?\", \"Kinsley, Lydia\"], [\"Did I talk to Kinsley, Lydia on 2011/04/07?\", \"yes\"], [\"Did I talk to anyone on 2011/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/08\": {\"exercise\": {\"eid\": \"e841\", \"logical_representation\": [\"2011/04/08\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/04/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/08?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2011/04/10\": {\"lunch\": {\"eid\": \"e844\", \"logical_representation\": [\"2011/04/10\", \"lunch\", \"pasta\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had pasta for lunch with Benjamin, Avery, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/04/10?\", \"Benjamin, Avery, Willow, Jackson\"], [\"what did I eat for lunch on 2011/04/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e845\", \"logical_representation\": [\"2011/04/10\", \"Kinsley, Piper, Piper, Claire\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Piper, Claire for 46 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Piper, Claire in the early afternoon on 2011/04/10?\", \"46 minutes\"], [\"who did I talk to on 2011/04/10?\", \"Kinsley, Piper, Piper, Claire\"], [\"Did I talk to Kinsley, Piper, Piper, Claire on 2011/04/10?\", \"yes\"], [\"Did I talk to anyone on 2011/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/12\": {\"dinner\": {\"eid\": \"e849\", \"logical_representation\": [\"2011/04/12\", \"dinner\", \"fish and chips\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Carter, Kayden. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/04/12?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2011/04/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e850\", \"logical_representation\": [\"2011/04/12\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/04/12?\", \"18 minutes\"], [\"what did I read on 2011/04/12?\", \"social media\"], [\"Did I read on 2011/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/13\": {\"lunch\": {\"eid\": \"e851\", \"logical_representation\": [\"2011/04/13\", \"lunch\", \"tacos\", \"Piper, Avery, Claire, Lydia, Hazel, Nora\"], \"text_template_based\": \"I had lunch with Piper, Avery, Claire, Lydia, Hazel, Nora. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/04/13?\", \"Piper, Avery, Claire, Lydia, Hazel, Nora\"], [\"what did I eat for lunch on 2011/04/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e852\", \"logical_representation\": [\"2011/04/13\", \"dinner\", \"tacos\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had tacos for dinner with Jackson, Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/04/13?\", \"Jackson, Benjamin, Willow\"], [\"what did I eat for dinner on 2011/04/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e853\", \"logical_representation\": [\"2011/04/13\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I watched a tv series for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/13?\", \"47 minutes\"], [\"what did I watch on tv on 2011/04/13?\", \"a tv series\"], [\"Did I watch tv on 2011/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/14\": {\"chat0\": {\"eid\": \"e854\", \"logical_representation\": [\"2011/04/14\", \"Eva\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Eva for 14 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2011/04/14?\", \"14 minutes\"], [\"who did I talk to on 2011/04/14?\", \"Eva\"], [\"Did I talk to Eva on 2011/04/14?\", \"yes\"], [\"Did I talk to anyone on 2011/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e855\", \"logical_representation\": [\"2011/04/14\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/04/14?\", \"37 minutes\"], [\"what did I read on 2011/04/14?\", \"a book\"], [\"Did I read on 2011/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e856\", \"logical_representation\": [\"2011/04/14\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/14?\", \"20 minutes\"], [\"what did I watch on tv on 2011/04/14?\", \"news\"], [\"Did I watch tv on 2011/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/16\": {\"breakfast\": {\"eid\": \"e858\", \"logical_representation\": [\"2011/04/16\", \"breakfast\", \"cereals\", \"Piper, Nevaeh, Avery, Nora, Rylee, Eva, Lydia, Kinsley\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/04/16\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e859\", \"logical_representation\": [\"2011/04/16\", \"dinner\", \"indian food\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I had dinner with Jackson, Benjamin, Willow, Avery. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/04/16?\", \"Jackson, Benjamin, Willow, Avery\"], [\"what did I eat for dinner on 2011/04/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e860\", \"logical_representation\": [\"2011/04/16\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/04/16?\", \"33 minutes\"], [\"what did I read on 2011/04/16?\", \"news\"], [\"Did I read on 2011/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e861\", \"logical_representation\": [\"2011/04/16\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/16?\", \"22 minutes\"], [\"what did I watch on tv on 2011/04/16?\", \"a movie\"], [\"Did I watch tv on 2011/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/18\": {\"dinner\": {\"eid\": \"e863\", \"logical_representation\": [\"2011/04/18\", \"dinner\", \"sushi\", \"Kayden, Emily\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/04/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e864\", \"logical_representation\": [\"2011/04/18\", \"Piper, Kinsley, Nevaeh, Rylee\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Nevaeh, Rylee for 44 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Nevaeh, Rylee during lunch hours on 2011/04/18?\", \"44 minutes\"], [\"who did I talk to on 2011/04/18?\", \"Piper, Kinsley, Nevaeh, Rylee\"], [\"Did I talk to Piper, Kinsley, Nevaeh, Rylee on 2011/04/18?\", \"yes\"], [\"Did I talk to anyone on 2011/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/20\": {\"breakfast\": {\"eid\": \"e865\", \"logical_representation\": [\"2011/04/20\", \"breakfast\", \"oatmeal\", \"Willow\"], \"text_template_based\": \"I had breakfast with Willow. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/04/20?\", \"Willow\"], [\"what did I eat for breakfast on 2011/04/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e866\", \"logical_representation\": [\"2011/04/20\", \"Lydia, Layla\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I talked to Lydia, Layla for 44 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla in the early afternoon on 2011/04/20?\", \"44 minutes\"], [\"who did I talk to on 2011/04/20?\", \"Lydia, Layla\"], [\"Did I talk to Lydia, Layla on 2011/04/20?\", \"yes\"], [\"Did I talk to anyone on 2011/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/22\": {\"watch tv\": {\"eid\": \"e868\", \"logical_representation\": [\"2011/04/22\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/22?\", \"12 minutes\"], [\"what did I watch on tv on 2011/04/22?\", \"a tv series\"], [\"Did I watch tv on 2011/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/23\": {\"exercise\": {\"eid\": \"e869\", \"logical_representation\": [\"2011/04/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/04/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/04/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2011/04/26\": {\"chat0\": {\"eid\": \"e872\", \"logical_representation\": [\"2011/04/26\", \"Layla, Lydia, Avery\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I talked to Layla, Lydia, Avery for 44 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Avery in the late afternoon on 2011/04/26?\", \"44 minutes\"], [\"who did I talk to on 2011/04/26?\", \"Layla, Lydia, Avery\"], [\"Did I talk to Layla, Lydia, Avery on 2011/04/26?\", \"yes\"], [\"Did I talk to anyone on 2011/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e873\", \"logical_representation\": [\"2011/04/26\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/04/26?\", \"25 minutes\"], [\"what did I watch on tv on 2011/04/26?\", \"news\"], [\"Did I watch tv on 2011/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/28\": {\"lunch\": {\"eid\": \"e874\", \"logical_representation\": [\"2011/04/28\", \"lunch\", \"tacos\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/04/28?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2011/04/28\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2011/04/29\": {\"dinner\": {\"eid\": \"e875\", \"logical_representation\": [\"2011/04/29\", \"dinner\", \"fish and chips\", \"Benjamin, Avery\"], \"text_template_based\": \"I had dinner with Benjamin, Avery. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/04/29?\", \"Benjamin, Avery\"], [\"what did I eat for dinner on 2011/04/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e876\", \"logical_representation\": [\"2011/04/29\", \"Hazel, Eva, Olivia\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Hazel, Eva, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Eva, Olivia in the morning on 2011/04/29?\", \"6 minutes\"], [\"who did I talk to on 2011/04/29?\", \"Hazel, Eva, Olivia\"], [\"Did I talk to Hazel, Eva, Olivia on 2011/04/29?\", \"yes\"], [\"Did I talk to anyone on 2011/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e877\", \"logical_representation\": [\"2011/04/29\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/04/29?\", \"32 minutes\"], [\"what did I read on 2011/04/29?\", \"news\"], [\"Did I read on 2011/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/04/30\": {\"lunch\": {\"eid\": \"e878\", \"logical_representation\": [\"2011/04/30\", \"lunch\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I had sandwich for lunch with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/04/30?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2011/04/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e879\", \"logical_representation\": [\"2011/04/30\", \"dinner\", \"steak\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had steak for dinner with Kayden, Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/04/30?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2011/04/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e880\", \"logical_representation\": [\"2011/04/30\", \"Hazel, Lydia, Rylee, Avery\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia, Rylee, Avery for 48 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Rylee, Avery in the early afternoon on 2011/04/30?\", \"48 minutes\"], [\"who did I talk to on 2011/04/30?\", \"Hazel, Lydia, Rylee, Avery\"], [\"Did I talk to Hazel, Lydia, Rylee, Avery on 2011/04/30?\", \"yes\"], [\"Did I talk to anyone on 2011/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e881\", \"logical_representation\": [\"2011/04/30\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/04/30?\", \"55 minutes\"], [\"what did I read on 2011/04/30?\", \"a book\"], [\"Did I read on 2011/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/02\": {\"exercise\": {\"eid\": \"e882\", \"logical_representation\": [\"2011/05/02\", \"biking\"], \"text_template_based\": \"I did biking on 2011/05/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/02?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e883\", \"logical_representation\": [\"2011/05/02\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/05/02?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2011/05/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e884\", \"logical_representation\": [\"2011/05/02\", \"dinner\", \"pasta\", \"Willow\"], \"text_template_based\": \"I had dinner with Willow. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/05/02?\", \"Willow\"], [\"what did I eat for dinner on 2011/05/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e885\", \"logical_representation\": [\"2011/05/02\", \"Rylee, Kinsley, Claire, Piper\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Rylee, Kinsley, Claire, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Claire, Piper in the early evening on 2011/05/02?\", \"43 minutes\"], [\"who did I talk to on 2011/05/02?\", \"Rylee, Kinsley, Claire, Piper\"], [\"Did I talk to Rylee, Kinsley, Claire, Piper on 2011/05/02?\", \"yes\"], [\"Did I talk to anyone on 2011/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/03\": {\"chat0\": {\"eid\": \"e886\", \"logical_representation\": [\"2011/05/03\", \"Piper, Piper, Rylee\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Piper, Piper, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Rylee in the early afternoon on 2011/05/03?\", \"29 minutes\"], [\"who did I talk to on 2011/05/03?\", \"Piper, Piper, Rylee\"], [\"Did I talk to Piper, Piper, Rylee on 2011/05/03?\", \"yes\"], [\"Did I talk to anyone on 2011/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e887\", \"logical_representation\": [\"2011/05/03\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/03?\", \"28 minutes\"], [\"what did I watch on tv on 2011/05/03?\", \"a movie\"], [\"Did I watch tv on 2011/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/04\": {\"exercise\": {\"eid\": \"e888\", \"logical_representation\": [\"2011/05/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/05/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/05/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e889\", \"logical_representation\": [\"2011/05/04\", \"dinner\", \"indian food\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had indian food for dinner with Carter, Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/05/04?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for dinner on 2011/05/04\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2011/05/05\": {\"chat0\": {\"eid\": \"e890\", \"logical_representation\": [\"2011/05/05\", \"Nora, Olivia, Claire, Layla\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia, Claire, Layla for 41 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Claire, Layla in the early afternoon on 2011/05/05?\", \"41 minutes\"], [\"who did I talk to on 2011/05/05?\", \"Nora, Olivia, Claire, Layla\"], [\"Did I talk to Nora, Olivia, Claire, Layla on 2011/05/05?\", \"yes\"], [\"Did I talk to anyone on 2011/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/16\": {\"lunch\": {\"eid\": \"e899\", \"logical_representation\": [\"2011/05/16\", \"lunch\", \"fish and chips\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/05/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e900\", \"logical_representation\": [\"2011/05/16\", \"dinner\", \"steak\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had steak for dinner with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/05/16?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for dinner on 2011/05/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e901\", \"logical_representation\": [\"2011/05/16\", \"Layla, Rylee, Nora, Nevaeh\", \"in the morning\", \"50 minutes\"], \"text_template_based\": \"I talked to Layla, Rylee, Nora, Nevaeh for 50 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Nora, Nevaeh in the morning on 2011/05/16?\", \"50 minutes\"], [\"who did I talk to on 2011/05/16?\", \"Layla, Rylee, Nora, Nevaeh\"], [\"Did I talk to Layla, Rylee, Nora, Nevaeh on 2011/05/16?\", \"yes\"], [\"Did I talk to anyone on 2011/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/21\": {\"chat0\": {\"eid\": \"e907\", \"logical_representation\": [\"2011/05/21\", \"Nevaeh, Piper\", \"in the early evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Nevaeh, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper in the early evening on 2011/05/21?\", \"18 minutes\"], [\"who did I talk to on 2011/05/21?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2011/05/21?\", \"yes\"], [\"Did I talk to anyone on 2011/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e908\", \"logical_representation\": [\"2011/05/21\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/21?\", \"34 minutes\"], [\"what did I watch on tv on 2011/05/21?\", \"news\"], [\"Did I watch tv on 2011/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/23\": {\"chat0\": {\"eid\": \"e910\", \"logical_representation\": [\"2011/05/23\", \"Eva, Nevaeh\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Eva, Nevaeh for 52 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh in the early afternoon on 2011/05/23?\", \"52 minutes\"], [\"who did I talk to on 2011/05/23?\", \"Eva, Nevaeh\"], [\"Did I talk to Eva, Nevaeh on 2011/05/23?\", \"yes\"], [\"Did I talk to anyone on 2011/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/25\": {\"breakfast\": {\"eid\": \"e911\", \"logical_representation\": [\"2011/05/25\", \"breakfast\", \"peanut-butter-jam\", \"Jackson\"], \"text_template_based\": \"I had breakfast with Jackson. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/05/25?\", \"Jackson\"], [\"what did I eat for breakfast on 2011/05/25\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e912\", \"logical_representation\": [\"2011/05/25\", \"Nora, Rylee\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Nora, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee in the morning on 2011/05/25?\", \"49 minutes\"], [\"who did I talk to on 2011/05/25?\", \"Nora, Rylee\"], [\"Did I talk to Nora, Rylee on 2011/05/25?\", \"yes\"], [\"Did I talk to anyone on 2011/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/27\": {\"breakfast\": {\"eid\": \"e915\", \"logical_representation\": [\"2011/05/27\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/05/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2011/05/30\": {\"chat0\": {\"eid\": \"e916\", \"logical_representation\": [\"2011/05/30\", \"Rylee\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I talked to Rylee for 47 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2011/05/30?\", \"47 minutes\"], [\"who did I talk to on 2011/05/30?\", \"Rylee\"], [\"Did I talk to Rylee on 2011/05/30?\", \"yes\"], [\"Did I talk to anyone on 2011/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e917\", \"logical_representation\": [\"2011/05/30\", \"a tv series\", \"45 minutes\"], \"text_template_based\": \"I watched a tv series for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/05/30?\", \"45 minutes\"], [\"what did I watch on tv on 2011/05/30?\", \"a tv series\"], [\"Did I watch tv on 2011/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/05/31\": {\"read\": {\"eid\": \"e918\", \"logical_representation\": [\"2011/05/31\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/05/31?\", \"30 minutes\"], [\"what did I read on 2011/05/31?\", \"news\"], [\"Did I read on 2011/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/01\": {\"chat0\": {\"eid\": \"e919\", \"logical_representation\": [\"2011/06/01\", \"Hazel, Kinsley, Lydia\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Hazel, Kinsley, Lydia for 34 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley, Lydia in the late afternoon on 2011/06/01?\", \"34 minutes\"], [\"who did I talk to on 2011/06/01?\", \"Hazel, Kinsley, Lydia\"], [\"Did I talk to Hazel, Kinsley, Lydia on 2011/06/01?\", \"yes\"], [\"Did I talk to anyone on 2011/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/02\": {\"dinner\": {\"eid\": \"e920\", \"logical_representation\": [\"2011/06/02\", \"dinner\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I had sandwich for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/06/02?\", \"Carter\"], [\"what did I eat for dinner on 2011/06/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2011/06/03\": {\"exercise\": {\"eid\": \"e921\", \"logical_representation\": [\"2011/06/03\", \"biking\"], \"text_template_based\": \"I did biking on 2011/06/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e922\", \"logical_representation\": [\"2011/06/03\", \"lunch\", \"sandwich\", \"Eva, Kinsley, Olivia, Piper, Hazel, Avery, Nevaeh, Lydia\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/06/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2011/06/04\": {\"watch tv\": {\"eid\": \"e923\", \"logical_representation\": [\"2011/06/04\", \"a movie\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/04?\", \"9 minutes\"], [\"what did I watch on tv on 2011/06/04?\", \"a movie\"], [\"Did I watch tv on 2011/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/07\": {\"dinner\": {\"eid\": \"e931\", \"logical_representation\": [\"2011/06/07\", \"dinner\", \"a burger\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had a burger for dinner with Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/06/07?\", \"Kayden, Emily, Carter\"], [\"what did I eat for dinner on 2011/06/07\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2011/06/08\": {\"read\": {\"eid\": \"e932\", \"logical_representation\": [\"2011/06/08\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/06/08?\", \"53 minutes\"], [\"what did I read on 2011/06/08?\", \"news\"], [\"Did I read on 2011/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e933\", \"logical_representation\": [\"2011/06/08\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I watched a documentary for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/08?\", \"44 minutes\"], [\"what did I watch on tv on 2011/06/08?\", \"a documentary\"], [\"Did I watch tv on 2011/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/09\": {\"exercise\": {\"eid\": \"e934\", \"logical_representation\": [\"2011/06/09\", \"running\"], \"text_template_based\": \"I did running on 2011/06/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/09?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e935\", \"logical_representation\": [\"2011/06/09\", \"lunch\", \"steak\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I had lunch with Benjamin, Avery, Willow. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/06/09?\", \"Benjamin, Avery, Willow\"], [\"what did I eat for lunch on 2011/06/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e936\", \"logical_representation\": [\"2011/06/09\", \"dinner\", \"chinese food\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/06/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2011/06/10\": {\"exercise\": {\"eid\": \"e937\", \"logical_representation\": [\"2011/06/10\", \"biking\"], \"text_template_based\": \"I did biking on 2011/06/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e938\", \"logical_representation\": [\"2011/06/10\", \"lunch\", \"fish and chips\", \"Nora, Rylee, Piper, Kinsley, Eva, Nevaeh, Hazel, Avery, Lydia\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/06/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2011/06/11\": {\"read\": {\"eid\": \"e939\", \"logical_representation\": [\"2011/06/11\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/06/11?\", \"48 minutes\"], [\"what did I read on 2011/06/11?\", \"news\"], [\"Did I read on 2011/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/13\": {\"chat0\": {\"eid\": \"e940\", \"logical_representation\": [\"2011/06/13\", \"Nora\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2011/06/13?\", \"20 minutes\"], [\"who did I talk to on 2011/06/13?\", \"Nora\"], [\"Did I talk to Nora on 2011/06/13?\", \"yes\"], [\"Did I talk to anyone on 2011/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e941\", \"logical_representation\": [\"2011/06/13\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/13?\", \"52 minutes\"], [\"what did I watch on tv on 2011/06/13?\", \"news\"], [\"Did I watch tv on 2011/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/14\": {\"dinner\": {\"eid\": \"e942\", \"logical_representation\": [\"2011/06/14\", \"dinner\", \"sushi\", \"Jackson, Avery\"], \"text_template_based\": \"I had sushi for dinner with Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/06/14?\", \"Jackson, Avery\"], [\"what did I eat for dinner on 2011/06/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e943\", \"logical_representation\": [\"2011/06/14\", \"Avery, Rylee\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Avery, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee late in the evening on 2011/06/14?\", \"40 minutes\"], [\"who did I talk to on 2011/06/14?\", \"Avery, Rylee\"], [\"Did I talk to Avery, Rylee on 2011/06/14?\", \"yes\"], [\"Did I talk to anyone on 2011/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e944\", \"logical_representation\": [\"2011/06/14\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/06/14?\", \"13 minutes\"], [\"what did I read on 2011/06/14?\", \"social media\"], [\"Did I read on 2011/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e945\", \"logical_representation\": [\"2011/06/14\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/14?\", \"46 minutes\"], [\"what did I watch on tv on 2011/06/14?\", \"news\"], [\"Did I watch tv on 2011/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/15\": {\"dinner\": {\"eid\": \"e946\", \"logical_representation\": [\"2011/06/15\", \"dinner\", \"steak\", \"Jackson, Avery\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/06/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e947\", \"logical_representation\": [\"2011/06/15\", \"a documentary\", \"8 minutes\"], \"text_template_based\": \"I watched a documentary for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/15?\", \"8 minutes\"], [\"what did I watch on tv on 2011/06/15?\", \"a documentary\"], [\"Did I watch tv on 2011/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/17\": {\"chat0\": {\"eid\": \"e949\", \"logical_representation\": [\"2011/06/17\", \"Nora, Hazel\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Nora, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel late in the evening on 2011/06/17?\", \"33 minutes\"], [\"who did I talk to on 2011/06/17?\", \"Nora, Hazel\"], [\"Did I talk to Nora, Hazel on 2011/06/17?\", \"yes\"], [\"Did I talk to anyone on 2011/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e950\", \"logical_representation\": [\"2011/06/17\", \"a movie\", \"55 minutes\"], \"text_template_based\": \"I watched a movie for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/17?\", \"55 minutes\"], [\"what did I watch on tv on 2011/06/17?\", \"a movie\"], [\"Did I watch tv on 2011/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/18\": {\"chat0\": {\"eid\": \"e951\", \"logical_representation\": [\"2011/06/18\", \"Hazel, Claire, Rylee, Olivia\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Hazel, Claire, Rylee, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Rylee, Olivia in the early afternoon on 2011/06/18?\", \"41 minutes\"], [\"who did I talk to on 2011/06/18?\", \"Hazel, Claire, Rylee, Olivia\"], [\"Did I talk to Hazel, Claire, Rylee, Olivia on 2011/06/18?\", \"yes\"], [\"Did I talk to anyone on 2011/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e952\", \"logical_representation\": [\"2011/06/18\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/06/18?\", \"20 minutes\"], [\"what did I read on 2011/06/18?\", \"a book\"], [\"Did I read on 2011/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e953\", \"logical_representation\": [\"2011/06/18\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/18?\", \"6 minutes\"], [\"what did I watch on tv on 2011/06/18?\", \"a movie\"], [\"Did I watch tv on 2011/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/19\": {\"watch tv\": {\"eid\": \"e954\", \"logical_representation\": [\"2011/06/19\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/19?\", \"7 minutes\"], [\"what did I watch on tv on 2011/06/19?\", \"a documentary\"], [\"Did I watch tv on 2011/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/20\": {\"exercise\": {\"eid\": \"e955\", \"logical_representation\": [\"2011/06/20\", \"running\"], \"text_template_based\": \"I did running on 2011/06/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/20?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2011/06/21\": {\"chat0\": {\"eid\": \"e956\", \"logical_representation\": [\"2011/06/21\", \"Kinsley, Rylee, Nevaeh, Nora\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee, Nevaeh, Nora for 45 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Nevaeh, Nora late in the evening on 2011/06/21?\", \"45 minutes\"], [\"who did I talk to on 2011/06/21?\", \"Kinsley, Rylee, Nevaeh, Nora\"], [\"Did I talk to Kinsley, Rylee, Nevaeh, Nora on 2011/06/21?\", \"yes\"], [\"Did I talk to anyone on 2011/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e957\", \"logical_representation\": [\"2011/06/21\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/06/21?\", \"11 minutes\"], [\"what did I read on 2011/06/21?\", \"news\"], [\"Did I read on 2011/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/22\": {\"chat0\": {\"eid\": \"e958\", \"logical_representation\": [\"2011/06/22\", \"Lydia, Eva\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Lydia, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva in the early afternoon on 2011/06/22?\", \"29 minutes\"], [\"who did I talk to on 2011/06/22?\", \"Lydia, Eva\"], [\"Did I talk to Lydia, Eva on 2011/06/22?\", \"yes\"], [\"Did I talk to anyone on 2011/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e959\", \"logical_representation\": [\"2011/06/22\", \"a movie\", \"20 minutes\"], \"text_template_based\": \"I watched a movie for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/22?\", \"20 minutes\"], [\"what did I watch on tv on 2011/06/22?\", \"a movie\"], [\"Did I watch tv on 2011/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/23\": {\"dinner\": {\"eid\": \"e960\", \"logical_representation\": [\"2011/06/23\", \"dinner\", \"steak\", \"Olivia, Eva, Hazel, Claire, Kinsley, Nevaeh, Avery, Layla, Piper, Piper, Lydia\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/06/23\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2011/06/26\": {\"chat0\": {\"eid\": \"e964\", \"logical_representation\": [\"2011/06/26\", \"Avery, Lydia\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Avery, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia in the late afternoon on 2011/06/26?\", \"49 minutes\"], [\"who did I talk to on 2011/06/26?\", \"Avery, Lydia\"], [\"Did I talk to Avery, Lydia on 2011/06/26?\", \"yes\"], [\"Did I talk to anyone on 2011/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/28\": {\"social media\": {\"eid\": \"e965\", \"logical_representation\": [\"2011/06/28\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/06/28?\", \"47 minutes\"], [\"what did I read on 2011/06/28?\", \"social media\"], [\"Did I read on 2011/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/29\": {\"chat0\": {\"eid\": \"e966\", \"logical_representation\": [\"2011/06/29\", \"Piper, Layla\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Piper, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla in the morning on 2011/06/29?\", \"46 minutes\"], [\"who did I talk to on 2011/06/29?\", \"Piper, Layla\"], [\"Did I talk to Piper, Layla on 2011/06/29?\", \"yes\"], [\"Did I talk to anyone on 2011/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e967\", \"logical_representation\": [\"2011/06/29\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/06/29?\", \"36 minutes\"], [\"what did I read on 2011/06/29?\", \"a book\"], [\"Did I read on 2011/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e968\", \"logical_representation\": [\"2011/06/29\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/06/29?\", \"5 minutes\"], [\"what did I watch on tv on 2011/06/29?\", \"news\"], [\"Did I watch tv on 2011/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/06/30\": {\"exercise\": {\"eid\": \"e969\", \"logical_representation\": [\"2011/06/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/06/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/06/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e970\", \"logical_representation\": [\"2011/06/30\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/06/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e971\", \"logical_representation\": [\"2011/06/30\", \"Piper, Hazel, Piper, Layla\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Piper, Hazel, Piper, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Piper, Layla in the early evening on 2011/06/30?\", \"30 minutes\"], [\"who did I talk to on 2011/06/30?\", \"Piper, Hazel, Piper, Layla\"], [\"Did I talk to Piper, Hazel, Piper, Layla on 2011/06/30?\", \"yes\"], [\"Did I talk to anyone on 2011/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/02\": {\"lunch\": {\"eid\": \"e972\", \"logical_representation\": [\"2011/07/02\", \"lunch\", \"steak\", \"Willow, Jackson\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/07/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e973\", \"logical_representation\": [\"2011/07/02\", \"dinner\", \"tacos\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had tacos for dinner with Avery, Jackson, Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/07/02?\", \"Avery, Jackson, Benjamin, Willow\"], [\"what did I eat for dinner on 2011/07/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e974\", \"logical_representation\": [\"2011/07/02\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I watched a movie for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/02?\", \"32 minutes\"], [\"what did I watch on tv on 2011/07/02?\", \"a movie\"], [\"Did I watch tv on 2011/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/03\": {\"dinner\": {\"eid\": \"e975\", \"logical_representation\": [\"2011/07/03\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/07/03?\", \"Emily\"], [\"what did I eat for dinner on 2011/07/03\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2011/07/07\": {\"breakfast\": {\"eid\": \"e979\", \"logical_representation\": [\"2011/07/07\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e980\", \"logical_representation\": [\"2011/07/07\", \"dinner\", \"a burger\", \"Carter, Kayden\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/07/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e981\", \"logical_representation\": [\"2011/07/07\", \"Rylee, Piper\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper for 30 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper in the early evening on 2011/07/07?\", \"30 minutes\"], [\"who did I talk to on 2011/07/07?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2011/07/07?\", \"yes\"], [\"Did I talk to anyone on 2011/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/08\": {\"exercise\": {\"eid\": \"e982\", \"logical_representation\": [\"2011/07/08\", \"biking\"], \"text_template_based\": \"I did biking on 2011/07/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/08?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e983\", \"logical_representation\": [\"2011/07/08\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/07/08?\", \"29 minutes\"], [\"what did I read on 2011/07/08?\", \"social media\"], [\"Did I read on 2011/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/09\": {\"breakfast\": {\"eid\": \"e984\", \"logical_representation\": [\"2011/07/09\", \"breakfast\", \"cereals\", \"Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e985\", \"logical_representation\": [\"2011/07/09\", \"Piper, Nevaeh, Layla\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Piper, Nevaeh, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Layla during lunch hours on 2011/07/09?\", \"31 minutes\"], [\"who did I talk to on 2011/07/09?\", \"Piper, Nevaeh, Layla\"], [\"Did I talk to Piper, Nevaeh, Layla on 2011/07/09?\", \"yes\"], [\"Did I talk to anyone on 2011/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e986\", \"logical_representation\": [\"2011/07/09\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/07/09?\", \"51 minutes\"], [\"what did I read on 2011/07/09?\", \"social media\"], [\"Did I read on 2011/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/11\": {\"lunch\": {\"eid\": \"e989\", \"logical_representation\": [\"2011/07/11\", \"lunch\", \"steak\", \"Emily\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/07/11\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2011/07/12\": {\"exercise\": {\"eid\": \"e990\", \"logical_representation\": [\"2011/07/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/07/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e991\", \"logical_representation\": [\"2011/07/12\", \"lunch\", \"a burger\", \"Kinsley, Hazel, Eva, Claire, Piper, Layla, Rylee, Nevaeh\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/07/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e992\", \"logical_representation\": [\"2011/07/12\", \"dinner\", \"a burger\", \"Nora, Claire, Lydia, Eva, Hazel, Piper\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/07/12\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2011/07/13\": {\"chat0\": {\"eid\": \"e993\", \"logical_representation\": [\"2011/07/13\", \"Nevaeh, Kinsley, Hazel\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Nevaeh, Kinsley, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley, Hazel in the morning on 2011/07/13?\", \"46 minutes\"], [\"who did I talk to on 2011/07/13?\", \"Nevaeh, Kinsley, Hazel\"], [\"Did I talk to Nevaeh, Kinsley, Hazel on 2011/07/13?\", \"yes\"], [\"Did I talk to anyone on 2011/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/16\": {\"exercise\": {\"eid\": \"e995\", \"logical_representation\": [\"2011/07/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/07/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e996\", \"logical_representation\": [\"2011/07/16\", \"dinner\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/07/16?\", \"Carter\"], [\"what did I eat for dinner on 2011/07/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e997\", \"logical_representation\": [\"2011/07/16\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/07/16?\", \"34 minutes\"], [\"what did I read on 2011/07/16?\", \"social media\"], [\"Did I read on 2011/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/17\": {\"chat0\": {\"eid\": \"e998\", \"logical_representation\": [\"2011/07/17\", \"Eva, Claire, Nevaeh\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Eva, Claire, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire, Nevaeh in the early afternoon on 2011/07/17?\", \"28 minutes\"], [\"who did I talk to on 2011/07/17?\", \"Eva, Claire, Nevaeh\"], [\"Did I talk to Eva, Claire, Nevaeh on 2011/07/17?\", \"yes\"], [\"Did I talk to anyone on 2011/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/18\": {\"chat0\": {\"eid\": \"e999\", \"logical_representation\": [\"2011/07/18\", \"Nevaeh, Lydia, Claire\", \"late in the evening\", \"8 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia, Claire for 8 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Claire late in the evening on 2011/07/18?\", \"8 minutes\"], [\"who did I talk to on 2011/07/18?\", \"Nevaeh, Lydia, Claire\"], [\"Did I talk to Nevaeh, Lydia, Claire on 2011/07/18?\", \"yes\"], [\"Did I talk to anyone on 2011/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/21\": {\"exercise\": {\"eid\": \"e1000\", \"logical_representation\": [\"2011/07/21\", \"biking\"], \"text_template_based\": \"I did biking on 2011/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1001\", \"logical_representation\": [\"2011/07/21\", \"lunch\", \"a burger\", \"Claire, Layla, Hazel, Piper, Nevaeh, Rylee, Piper\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/07/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1002\", \"logical_representation\": [\"2011/07/21\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/21?\", \"50 minutes\"], [\"what did I watch on tv on 2011/07/21?\", \"a tv series\"], [\"Did I watch tv on 2011/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/22\": {\"exercise\": {\"eid\": \"e1003\", \"logical_representation\": [\"2011/07/22\", \"biking\"], \"text_template_based\": \"I did biking on 2011/07/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/07/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1004\", \"logical_representation\": [\"2011/07/22\", \"dinner\", \"steak\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/07/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1005\", \"logical_representation\": [\"2011/07/22\", \"Rylee, Piper, Layla\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper, Layla for 47 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Layla in the early evening on 2011/07/22?\", \"47 minutes\"], [\"who did I talk to on 2011/07/22?\", \"Rylee, Piper, Layla\"], [\"Did I talk to Rylee, Piper, Layla on 2011/07/22?\", \"yes\"], [\"Did I talk to anyone on 2011/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/23\": {\"lunch\": {\"eid\": \"e1006\", \"logical_representation\": [\"2011/07/23\", \"lunch\", \"a burger\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/07/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1007\", \"logical_representation\": [\"2011/07/23\", \"dinner\", \"chinese food\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had chinese food for dinner with Avery, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/07/23?\", \"Avery, Jackson, Benjamin\"], [\"what did I eat for dinner on 2011/07/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2011/07/25\": {\"breakfast\": {\"eid\": \"e1008\", \"logical_representation\": [\"2011/07/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora, Rylee, Avery, Olivia, Lydia, Nevaeh, Eva, Hazel, Piper, Claire, Layla, Kinsley, Piper\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/07/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1009\", \"logical_representation\": [\"2011/07/25\", \"Layla, Avery, Olivia, Rylee\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Layla, Avery, Olivia, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Olivia, Rylee in the early afternoon on 2011/07/25?\", \"23 minutes\"], [\"who did I talk to on 2011/07/25?\", \"Layla, Avery, Olivia, Rylee\"], [\"Did I talk to Layla, Avery, Olivia, Rylee on 2011/07/25?\", \"yes\"], [\"Did I talk to anyone on 2011/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/26\": {\"lunch\": {\"eid\": \"e1010\", \"logical_representation\": [\"2011/07/26\", \"lunch\", \"indian food\", \"Jackson, Avery\"], \"text_template_based\": \"I had lunch with Jackson, Avery. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/07/26?\", \"Jackson, Avery\"], [\"what did I eat for lunch on 2011/07/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1011\", \"logical_representation\": [\"2011/07/26\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I watched a documentary for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/26?\", \"7 minutes\"], [\"what did I watch on tv on 2011/07/26?\", \"a documentary\"], [\"Did I watch tv on 2011/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/30\": {\"chat0\": {\"eid\": \"e1014\", \"logical_representation\": [\"2011/07/30\", \"Nevaeh\", \"in the morning\", \"10 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 10 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2011/07/30?\", \"10 minutes\"], [\"who did I talk to on 2011/07/30?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2011/07/30?\", \"yes\"], [\"Did I talk to anyone on 2011/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1015\", \"logical_representation\": [\"2011/07/30\", \"news\", \"19 minutes\"], \"text_template_based\": \"I watched news for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/07/30?\", \"19 minutes\"], [\"what did I watch on tv on 2011/07/30?\", \"news\"], [\"Did I watch tv on 2011/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/07/31\": {\"chat0\": {\"eid\": \"e1016\", \"logical_representation\": [\"2011/07/31\", \"Avery\", \"during lunch hours\", \"40 minutes\"], \"text_template_based\": \"I talked to Avery for 40 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery during lunch hours on 2011/07/31?\", \"40 minutes\"], [\"who did I talk to on 2011/07/31?\", \"Avery\"], [\"Did I talk to Avery on 2011/07/31?\", \"yes\"], [\"Did I talk to anyone on 2011/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/01\": {\"breakfast\": {\"eid\": \"e1017\", \"logical_representation\": [\"2011/08/01\", \"breakfast\", \"oatmeal\", \"Rylee\"], \"text_template_based\": \"I had breakfast with Rylee. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/08/01?\", \"Rylee\"], [\"what did I eat for breakfast on 2011/08/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1018\", \"logical_representation\": [\"2011/08/01\", \"Claire, Piper\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I talked to Claire, Piper for 41 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper during lunch hours on 2011/08/01?\", \"41 minutes\"], [\"who did I talk to on 2011/08/01?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2011/08/01?\", \"yes\"], [\"Did I talk to anyone on 2011/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/03\": {\"breakfast\": {\"eid\": \"e1020\", \"logical_representation\": [\"2011/08/03\", \"breakfast\", \"oatmeal\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had oatmeal for breakfast with Carter, Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/08/03?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2011/08/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1021\", \"logical_representation\": [\"2011/08/03\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/03?\", \"7 minutes\"], [\"what did I watch on tv on 2011/08/03?\", \"a movie\"], [\"Did I watch tv on 2011/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/04\": {\"lunch\": {\"eid\": \"e1022\", \"logical_representation\": [\"2011/08/04\", \"lunch\", \"sandwich\", \"Eva\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/08/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1023\", \"logical_representation\": [\"2011/08/04\", \"dinner\", \"a burger\", \"Carter\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/08/04\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2011/08/05\": {\"read\": {\"eid\": \"e1024\", \"logical_representation\": [\"2011/08/05\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/08/05?\", \"13 minutes\"], [\"what did I read on 2011/08/05?\", \"news\"], [\"Did I read on 2011/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/06\": {\"exercise\": {\"eid\": \"e1025\", \"logical_representation\": [\"2011/08/06\", \"biking\"], \"text_template_based\": \"I did biking on 2011/08/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/06?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1026\", \"logical_representation\": [\"2011/08/06\", \"breakfast\", \"toast and cheese\", \"Lydia, Kinsley, Piper, Claire, Hazel, Eva, Layla, Avery, Nevaeh, Piper\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1027\", \"logical_representation\": [\"2011/08/06\", \"a movie\", \"20 minutes\"], \"text_template_based\": \"I watched a movie for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/06?\", \"20 minutes\"], [\"what did I watch on tv on 2011/08/06?\", \"a movie\"], [\"Did I watch tv on 2011/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/08\": {\"exercise\": {\"eid\": \"e1030\", \"logical_representation\": [\"2011/08/08\", \"biking\"], \"text_template_based\": \"I did biking on 2011/08/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/08?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2011/08/11\": {\"exercise\": {\"eid\": \"e1032\", \"logical_representation\": [\"2011/08/11\", \"running\"], \"text_template_based\": \"I did running on 2011/08/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/11?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2011/08/12\": {\"lunch\": {\"eid\": \"e1033\", \"logical_representation\": [\"2011/08/12\", \"lunch\", \"steak\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/08/12\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2011/08/14\": {\"breakfast\": {\"eid\": \"e1036\", \"logical_representation\": [\"2011/08/14\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/08/14?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for breakfast on 2011/08/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2011/08/15\": {\"exercise\": {\"eid\": \"e1037\", \"logical_representation\": [\"2011/08/15\", \"biking\"], \"text_template_based\": \"I did biking on 2011/08/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1038\", \"logical_representation\": [\"2011/08/15\", \"lunch\", \"indian food\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/08/15?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for lunch on 2011/08/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1039\", \"logical_representation\": [\"2011/08/15\", \"Hazel, Kinsley, Rylee\", \"in the morning\", \"25 minutes\"], \"text_template_based\": \"I talked to Hazel, Kinsley, Rylee for 25 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley, Rylee in the morning on 2011/08/15?\", \"25 minutes\"], [\"who did I talk to on 2011/08/15?\", \"Hazel, Kinsley, Rylee\"], [\"Did I talk to Hazel, Kinsley, Rylee on 2011/08/15?\", \"yes\"], [\"Did I talk to anyone on 2011/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/16\": {\"dinner\": {\"eid\": \"e1040\", \"logical_representation\": [\"2011/08/16\", \"dinner\", \"sushi\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/08/16\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2011/08/17\": {\"breakfast\": {\"eid\": \"e1041\", \"logical_representation\": [\"2011/08/17\", \"breakfast\", \"pancakes\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/08/17?\", \"Andrew, Carter, Emily\"], [\"what did I eat for breakfast on 2011/08/17\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/18\": {\"dinner\": {\"eid\": \"e1042\", \"logical_representation\": [\"2011/08/18\", \"dinner\", \"chinese food\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had chinese food for dinner with Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/18?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for dinner on 2011/08/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1043\", \"logical_representation\": [\"2011/08/18\", \"Hazel, Layla, Kinsley, Piper\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Hazel, Layla, Kinsley, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla, Kinsley, Piper in the early evening on 2011/08/18?\", \"7 minutes\"], [\"who did I talk to on 2011/08/18?\", \"Hazel, Layla, Kinsley, Piper\"], [\"Did I talk to Hazel, Layla, Kinsley, Piper on 2011/08/18?\", \"yes\"], [\"Did I talk to anyone on 2011/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/19\": {\"exercise\": {\"eid\": \"e1044\", \"logical_representation\": [\"2011/08/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/08/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2011/08/20\": {\"breakfast\": {\"eid\": \"e1045\", \"logical_representation\": [\"2011/08/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Emily, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/08/20?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for breakfast on 2011/08/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1046\", \"logical_representation\": [\"2011/08/20\", \"lunch\", \"chinese food\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/08/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1047\", \"logical_representation\": [\"2011/08/20\", \"a tv series\", \"19 minutes\"], \"text_template_based\": \"I watched a tv series for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/20?\", \"19 minutes\"], [\"what did I watch on tv on 2011/08/20?\", \"a tv series\"], [\"Did I watch tv on 2011/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/22\": {\"breakfast\": {\"eid\": \"e1048\", \"logical_representation\": [\"2011/08/22\", \"breakfast\", \"toast and cheese\", \"Willow\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1049\", \"logical_representation\": [\"2011/08/22\", \"Claire, Eva\", \"in the early evening\", \"8 minutes\"], \"text_template_based\": \"I talked to Claire, Eva for 8 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva in the early evening on 2011/08/22?\", \"8 minutes\"], [\"who did I talk to on 2011/08/22?\", \"Claire, Eva\"], [\"Did I talk to Claire, Eva on 2011/08/22?\", \"yes\"], [\"Did I talk to anyone on 2011/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/23\": {\"breakfast\": {\"eid\": \"e1050\", \"logical_representation\": [\"2011/08/23\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/08/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2011/08/25\": {\"exercise\": {\"eid\": \"e1052\", \"logical_representation\": [\"2011/08/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/08/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/08/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1053\", \"logical_representation\": [\"2011/08/25\", \"dinner\", \"fish and chips\", \"Claire\"], \"text_template_based\": \"I had fish and chips for dinner with Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/08/25?\", \"Claire\"], [\"what did I eat for dinner on 2011/08/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2011/08/27\": {\"lunch\": {\"eid\": \"e1058\", \"logical_representation\": [\"2011/08/27\", \"lunch\", \"chinese food\", \"Piper, Lydia, Avery, Rylee, Piper, Kinsley, Nora, Hazel, Layla, Claire, Eva\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/08/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1059\", \"logical_representation\": [\"2011/08/27\", \"news\", \"14 minutes\"], \"text_template_based\": \"I watched news for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/27?\", \"14 minutes\"], [\"what did I watch on tv on 2011/08/27?\", \"news\"], [\"Did I watch tv on 2011/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/28\": {\"dinner\": {\"eid\": \"e1060\", \"logical_representation\": [\"2011/08/28\", \"dinner\", \"indian food\", \"Piper, Eva, Nevaeh, Claire, Nora, Layla, Olivia, Lydia, Piper, Kinsley\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/08/28\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2011/08/29\": {\"watch tv\": {\"eid\": \"e1061\", \"logical_representation\": [\"2011/08/29\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I watched a tv series for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/08/29?\", \"43 minutes\"], [\"what did I watch on tv on 2011/08/29?\", \"a tv series\"], [\"Did I watch tv on 2011/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/08/30\": {\"dinner\": {\"eid\": \"e1062\", \"logical_representation\": [\"2011/08/30\", \"dinner\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/08/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2011/08/31\": {\"dinner\": {\"eid\": \"e1063\", \"logical_representation\": [\"2011/08/31\", \"dinner\", \"steak\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/08/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1064\", \"logical_representation\": [\"2011/08/31\", \"Claire, Kinsley, Olivia, Avery\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Claire, Kinsley, Olivia, Avery for 15 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Olivia, Avery late in the evening on 2011/08/31?\", \"15 minutes\"], [\"who did I talk to on 2011/08/31?\", \"Claire, Kinsley, Olivia, Avery\"], [\"Did I talk to Claire, Kinsley, Olivia, Avery on 2011/08/31?\", \"yes\"], [\"Did I talk to anyone on 2011/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/01\": {\"dinner\": {\"eid\": \"e1065\", \"logical_representation\": [\"2011/09/01\", \"dinner\", \"sandwich\", \"Avery, Piper, Layla, Olivia\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/09/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1066\", \"logical_representation\": [\"2011/09/01\", \"a documentary\", \"45 minutes\"], \"text_template_based\": \"I watched a documentary for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/01?\", \"45 minutes\"], [\"what did I watch on tv on 2011/09/01?\", \"a documentary\"], [\"Did I watch tv on 2011/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/07\": {\"read\": {\"eid\": \"e1070\", \"logical_representation\": [\"2011/09/07\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/09/07?\", \"19 minutes\"], [\"what did I read on 2011/09/07?\", \"news\"], [\"Did I read on 2011/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1071\", \"logical_representation\": [\"2011/09/07\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I watched a tv series for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/07?\", \"7 minutes\"], [\"what did I watch on tv on 2011/09/07?\", \"a tv series\"], [\"Did I watch tv on 2011/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/08\": {\"lunch\": {\"eid\": \"e1072\", \"logical_representation\": [\"2011/09/08\", \"lunch\", \"sushi\", \"Claire, Hazel, Eva, Piper, Rylee, Piper, Lydia, Kinsley, Layla, Nevaeh, Olivia, Nora, Avery\"], \"text_template_based\": \"I had lunch with Claire, Hazel, Eva, Piper, Rylee, Piper, Lydia, Kinsley, Layla, Nevaeh, Olivia, Nora, Avery. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/09/08?\", \"Claire, Hazel, Eva, Piper, Rylee, Piper, Lydia, Kinsley, Layla, Nevaeh, Olivia, Nora, Avery\"], [\"what did I eat for lunch on 2011/09/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1073\", \"logical_representation\": [\"2011/09/08\", \"dinner\", \"pasta\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had pasta for dinner with Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/09/08?\", \"Jackson, Benjamin\"], [\"what did I eat for dinner on 2011/09/08\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2011/09/09\": {\"chat0\": {\"eid\": \"e1074\", \"logical_representation\": [\"2011/09/09\", \"Avery, Hazel, Olivia\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Avery, Hazel, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Olivia late in the evening on 2011/09/09?\", \"39 minutes\"], [\"who did I talk to on 2011/09/09?\", \"Avery, Hazel, Olivia\"], [\"Did I talk to Avery, Hazel, Olivia on 2011/09/09?\", \"yes\"], [\"Did I talk to anyone on 2011/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1075\", \"logical_representation\": [\"2011/09/09\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/09/09?\", \"34 minutes\"], [\"what did I read on 2011/09/09?\", \"news\"], [\"Did I read on 2011/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1076\", \"logical_representation\": [\"2011/09/09\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I watched a tv series for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/09?\", \"11 minutes\"], [\"what did I watch on tv on 2011/09/09?\", \"a tv series\"], [\"Did I watch tv on 2011/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/10\": {\"breakfast\": {\"eid\": \"e1077\", \"logical_representation\": [\"2011/09/10\", \"breakfast\", \"cereals\", \"Willow, Avery\"], \"text_template_based\": \"I had cereals for breakfast with Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/09/10?\", \"Willow, Avery\"], [\"what did I eat for breakfast on 2011/09/10\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2011/09/11\": {\"chat0\": {\"eid\": \"e1078\", \"logical_representation\": [\"2011/09/11\", \"Claire, Hazel, Olivia, Piper\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Claire, Hazel, Olivia, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Olivia, Piper in the morning on 2011/09/11?\", \"40 minutes\"], [\"who did I talk to on 2011/09/11?\", \"Claire, Hazel, Olivia, Piper\"], [\"Did I talk to Claire, Hazel, Olivia, Piper on 2011/09/11?\", \"yes\"], [\"Did I talk to anyone on 2011/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/12\": {\"chat0\": {\"eid\": \"e1079\", \"logical_representation\": [\"2011/09/12\", \"Layla, Piper, Claire\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Layla, Piper, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Claire during lunch hours on 2011/09/12?\", \"20 minutes\"], [\"who did I talk to on 2011/09/12?\", \"Layla, Piper, Claire\"], [\"Did I talk to Layla, Piper, Claire on 2011/09/12?\", \"yes\"], [\"Did I talk to anyone on 2011/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1080\", \"logical_representation\": [\"2011/09/12\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/09/12?\", \"17 minutes\"], [\"what did I read on 2011/09/12?\", \"social media\"], [\"Did I read on 2011/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/16\": {\"exercise\": {\"eid\": \"e1084\", \"logical_representation\": [\"2011/09/16\", \"biking\"], \"text_template_based\": \"I did biking on 2011/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1085\", \"logical_representation\": [\"2011/09/16\", \"Hazel\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Hazel for 53 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2011/09/16?\", \"53 minutes\"], [\"who did I talk to on 2011/09/16?\", \"Hazel\"], [\"Did I talk to Hazel on 2011/09/16?\", \"yes\"], [\"Did I talk to anyone on 2011/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1086\", \"logical_representation\": [\"2011/09/16\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/09/16?\", \"30 minutes\"], [\"what did I read on 2011/09/16?\", \"social media\"], [\"Did I read on 2011/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/17\": {\"exercise\": {\"eid\": \"e1087\", \"logical_representation\": [\"2011/09/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/09/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1088\", \"logical_representation\": [\"2011/09/17\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2011/09/18\": {\"breakfast\": {\"eid\": \"e1089\", \"logical_representation\": [\"2011/09/18\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1090\", \"logical_representation\": [\"2011/09/18\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/09/18?\", \"Andrew\"], [\"what did I eat for dinner on 2011/09/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1091\", \"logical_representation\": [\"2011/09/18\", \"Hazel, Lydia, Nevaeh, Piper\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Hazel, Lydia, Nevaeh, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Nevaeh, Piper late in the evening on 2011/09/18?\", \"12 minutes\"], [\"who did I talk to on 2011/09/18?\", \"Hazel, Lydia, Nevaeh, Piper\"], [\"Did I talk to Hazel, Lydia, Nevaeh, Piper on 2011/09/18?\", \"yes\"], [\"Did I talk to anyone on 2011/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1092\", \"logical_representation\": [\"2011/09/18\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/18?\", \"9 minutes\"], [\"what did I watch on tv on 2011/09/18?\", \"news\"], [\"Did I watch tv on 2011/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/19\": {\"exercise\": {\"eid\": \"e1093\", \"logical_representation\": [\"2011/09/19\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/09/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/19?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1094\", \"logical_representation\": [\"2011/09/19\", \"Olivia, Layla, Eva\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Olivia, Layla, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Eva in the late afternoon on 2011/09/19?\", \"17 minutes\"], [\"who did I talk to on 2011/09/19?\", \"Olivia, Layla, Eva\"], [\"Did I talk to Olivia, Layla, Eva on 2011/09/19?\", \"yes\"], [\"Did I talk to anyone on 2011/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/20\": {\"chat0\": {\"eid\": \"e1095\", \"logical_representation\": [\"2011/09/20\", \"Layla, Avery, Piper, Nora\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Layla, Avery, Piper, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Piper, Nora during lunch hours on 2011/09/20?\", \"20 minutes\"], [\"who did I talk to on 2011/09/20?\", \"Layla, Avery, Piper, Nora\"], [\"Did I talk to Layla, Avery, Piper, Nora on 2011/09/20?\", \"yes\"], [\"Did I talk to anyone on 2011/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1096\", \"logical_representation\": [\"2011/09/20\", \"a documentary\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/20?\", \"29 minutes\"], [\"what did I watch on tv on 2011/09/20?\", \"a documentary\"], [\"Did I watch tv on 2011/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/22\": {\"breakfast\": {\"eid\": \"e1097\", \"logical_representation\": [\"2011/09/22\", \"breakfast\", \"cereals\", \"Carter, Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/09/22?\", \"Carter, Kayden\"], [\"what did I eat for breakfast on 2011/09/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1098\", \"logical_representation\": [\"2011/09/22\", \"Avery, Lydia, Rylee, Olivia\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Avery, Lydia, Rylee, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Rylee, Olivia in the early afternoon on 2011/09/22?\", \"29 minutes\"], [\"who did I talk to on 2011/09/22?\", \"Avery, Lydia, Rylee, Olivia\"], [\"Did I talk to Avery, Lydia, Rylee, Olivia on 2011/09/22?\", \"yes\"], [\"Did I talk to anyone on 2011/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/23\": {\"lunch\": {\"eid\": \"e1099\", \"logical_representation\": [\"2011/09/23\", \"lunch\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/09/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1100\", \"logical_representation\": [\"2011/09/23\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/09/23?\", \"51 minutes\"], [\"what did I read on 2011/09/23?\", \"news\"], [\"Did I read on 2011/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/24\": {\"breakfast\": {\"eid\": \"e1101\", \"logical_representation\": [\"2011/09/24\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1102\", \"logical_representation\": [\"2011/09/24\", \"dinner\", \"indian food\", \"Nevaeh, Kinsley, Claire, Piper\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/09/24\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2011/09/25\": {\"breakfast\": {\"eid\": \"e1103\", \"logical_representation\": [\"2011/09/25\", \"breakfast\", \"toast and cheese\", \"Piper, Eva\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1104\", \"logical_representation\": [\"2011/09/25\", \"Layla, Avery, Nora, Claire\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I talked to Layla, Avery, Nora, Claire for 55 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Nora, Claire during lunch hours on 2011/09/25?\", \"55 minutes\"], [\"who did I talk to on 2011/09/25?\", \"Layla, Avery, Nora, Claire\"], [\"Did I talk to Layla, Avery, Nora, Claire on 2011/09/25?\", \"yes\"], [\"Did I talk to anyone on 2011/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1105\", \"logical_representation\": [\"2011/09/25\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/09/25?\", \"31 minutes\"], [\"what did I read on 2011/09/25?\", \"news\"], [\"Did I read on 2011/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/26\": {\"breakfast\": {\"eid\": \"e1106\", \"logical_representation\": [\"2011/09/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1107\", \"logical_representation\": [\"2011/09/26\", \"a movie\", \"47 minutes\"], \"text_template_based\": \"I watched a movie for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/09/26?\", \"47 minutes\"], [\"what did I watch on tv on 2011/09/26?\", \"a movie\"], [\"Did I watch tv on 2011/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/27\": {\"exercise\": {\"eid\": \"e1108\", \"logical_representation\": [\"2011/09/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/09/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2011/09/28\": {\"breakfast\": {\"eid\": \"e1109\", \"logical_representation\": [\"2011/09/28\", \"breakfast\", \"oatmeal\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/09/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1110\", \"logical_representation\": [\"2011/09/28\", \"Avery, Rylee\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Avery, Rylee for 9 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee late in the evening on 2011/09/28?\", \"9 minutes\"], [\"who did I talk to on 2011/09/28?\", \"Avery, Rylee\"], [\"Did I talk to Avery, Rylee on 2011/09/28?\", \"yes\"], [\"Did I talk to anyone on 2011/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/09/29\": {\"exercise\": {\"eid\": \"e1111\", \"logical_representation\": [\"2011/09/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/09/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/09/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2011/10/01\": {\"breakfast\": {\"eid\": \"e1113\", \"logical_representation\": [\"2011/10/01\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Emily, Kayden. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2011/10/01?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2011/10/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1114\", \"logical_representation\": [\"2011/10/01\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/10/01\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2011/10/02\": {\"read\": {\"eid\": \"e1115\", \"logical_representation\": [\"2011/10/02\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/10/02?\", \"20 minutes\"], [\"what did I read on 2011/10/02?\", \"news\"], [\"Did I read on 2011/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/03\": {\"chat0\": {\"eid\": \"e1116\", \"logical_representation\": [\"2011/10/03\", \"Nevaeh, Rylee, Eva\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Nevaeh, Rylee, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Eva in the late afternoon on 2011/10/03?\", \"5 minutes\"], [\"who did I talk to on 2011/10/03?\", \"Nevaeh, Rylee, Eva\"], [\"Did I talk to Nevaeh, Rylee, Eva on 2011/10/03?\", \"yes\"], [\"Did I talk to anyone on 2011/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1117\", \"logical_representation\": [\"2011/10/03\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/10/03?\", \"37 minutes\"], [\"what did I read on 2011/10/03?\", \"news\"], [\"Did I read on 2011/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1118\", \"logical_representation\": [\"2011/10/03\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/03?\", \"7 minutes\"], [\"what did I watch on tv on 2011/10/03?\", \"a tv series\"], [\"Did I watch tv on 2011/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/04\": {\"exercise\": {\"eid\": \"e1119\", \"logical_representation\": [\"2011/10/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2011/10/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1120\", \"logical_representation\": [\"2011/10/04\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2011/10/06\": {\"exercise\": {\"eid\": \"e1121\", \"logical_representation\": [\"2011/10/06\", \"running\"], \"text_template_based\": \"I did running on 2011/10/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/06?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1122\", \"logical_representation\": [\"2011/10/06\", \"lunch\", \"sushi\", \"Rylee, Olivia, Nora, Nevaeh, Avery\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/06\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2011/10/09\": {\"social media\": {\"eid\": \"e1123\", \"logical_representation\": [\"2011/10/09\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/10/09?\", \"44 minutes\"], [\"what did I read on 2011/10/09?\", \"social media\"], [\"Did I read on 2011/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/11\": {\"lunch\": {\"eid\": \"e1127\", \"logical_representation\": [\"2011/10/11\", \"lunch\", \"indian food\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/10/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1128\", \"logical_representation\": [\"2011/10/11\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/10/11?\", \"45 minutes\"], [\"what did I read on 2011/10/11?\", \"social media\"], [\"Did I read on 2011/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/12\": {\"breakfast\": {\"eid\": \"e1129\", \"logical_representation\": [\"2011/10/12\", \"breakfast\", \"toast and cheese\", \"Piper, Avery, Nora\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1130\", \"logical_representation\": [\"2011/10/12\", \"dinner\", \"chinese food\", \"Layla\"], \"text_template_based\": \"I had chinese food for dinner with Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/10/12?\", \"Layla\"], [\"what did I eat for dinner on 2011/10/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1131\", \"logical_representation\": [\"2011/10/12\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/12?\", \"27 minutes\"], [\"what did I watch on tv on 2011/10/12?\", \"a tv series\"], [\"Did I watch tv on 2011/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/14\": {\"chat0\": {\"eid\": \"e1132\", \"logical_representation\": [\"2011/10/14\", \"Rylee, Piper, Avery\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Rylee, Piper, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Avery during lunch hours on 2011/10/14?\", \"55 minutes\"], [\"who did I talk to on 2011/10/14?\", \"Rylee, Piper, Avery\"], [\"Did I talk to Rylee, Piper, Avery on 2011/10/14?\", \"yes\"], [\"Did I talk to anyone on 2011/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1133\", \"logical_representation\": [\"2011/10/14\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/14?\", \"35 minutes\"], [\"what did I watch on tv on 2011/10/14?\", \"a documentary\"], [\"Did I watch tv on 2011/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/16\": {\"breakfast\": {\"eid\": \"e1135\", \"logical_representation\": [\"2011/10/16\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/16\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2011/10/17\": {\"lunch\": {\"eid\": \"e1136\", \"logical_representation\": [\"2011/10/17\", \"lunch\", \"sushi\", \"Piper, Layla, Nevaeh, Olivia, Eva, Nora\"], \"text_template_based\": \"I had lunch with Piper, Layla, Nevaeh, Olivia, Eva, Nora. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/10/17?\", \"Piper, Layla, Nevaeh, Olivia, Eva, Nora\"], [\"what did I eat for lunch on 2011/10/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1137\", \"logical_representation\": [\"2011/10/17\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/10/17?\", \"17 minutes\"], [\"what did I read on 2011/10/17?\", \"a book\"], [\"Did I read on 2011/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/18\": {\"social media\": {\"eid\": \"e1138\", \"logical_representation\": [\"2011/10/18\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/10/18?\", \"11 minutes\"], [\"what did I read on 2011/10/18?\", \"social media\"], [\"Did I read on 2011/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1139\", \"logical_representation\": [\"2011/10/18\", \"news\", \"32 minutes\"], \"text_template_based\": \"I watched news for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/18?\", \"32 minutes\"], [\"what did I watch on tv on 2011/10/18?\", \"news\"], [\"Did I watch tv on 2011/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/19\": {\"chat0\": {\"eid\": \"e1140\", \"logical_representation\": [\"2011/10/19\", \"Claire, Eva, Hazel, Avery\", \"in the early evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Claire, Eva, Hazel, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Hazel, Avery in the early evening on 2011/10/19?\", \"31 minutes\"], [\"who did I talk to on 2011/10/19?\", \"Claire, Eva, Hazel, Avery\"], [\"Did I talk to Claire, Eva, Hazel, Avery on 2011/10/19?\", \"yes\"], [\"Did I talk to anyone on 2011/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1141\", \"logical_representation\": [\"2011/10/19\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/10/19?\", \"44 minutes\"], [\"what did I read on 2011/10/19?\", \"social media\"], [\"Did I read on 2011/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/20\": {\"read\": {\"eid\": \"e1142\", \"logical_representation\": [\"2011/10/20\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/10/20?\", \"50 minutes\"], [\"what did I read on 2011/10/20?\", \"a book\"], [\"Did I read on 2011/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/21\": {\"exercise\": {\"eid\": \"e1143\", \"logical_representation\": [\"2011/10/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/10/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/10/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1144\", \"logical_representation\": [\"2011/10/21\", \"breakfast\", \"toast and cheese\", \"Nora, Olivia, Nevaeh\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1145\", \"logical_representation\": [\"2011/10/21\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2011/10/21?\", \"45 minutes\"], [\"what did I read on 2011/10/21?\", \"a book\"], [\"Did I read on 2011/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1146\", \"logical_representation\": [\"2011/10/21\", \"news\", \"36 minutes\"], \"text_template_based\": \"I watched news for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/21?\", \"36 minutes\"], [\"what did I watch on tv on 2011/10/21?\", \"news\"], [\"Did I watch tv on 2011/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/22\": {\"watch tv\": {\"eid\": \"e1147\", \"logical_representation\": [\"2011/10/22\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/22?\", \"40 minutes\"], [\"what did I watch on tv on 2011/10/22?\", \"news\"], [\"Did I watch tv on 2011/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/24\": {\"breakfast\": {\"eid\": \"e1149\", \"logical_representation\": [\"2011/10/24\", \"breakfast\", \"oatmeal\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/10/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1150\", \"logical_representation\": [\"2011/10/24\", \"dinner\", \"pasta\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/10/24\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2011/10/25\": {\"social media\": {\"eid\": \"e1151\", \"logical_representation\": [\"2011/10/25\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/10/25?\", \"47 minutes\"], [\"what did I read on 2011/10/25?\", \"social media\"], [\"Did I read on 2011/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/27\": {\"watch tv\": {\"eid\": \"e1152\", \"logical_representation\": [\"2011/10/27\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/27?\", \"23 minutes\"], [\"what did I watch on tv on 2011/10/27?\", \"a movie\"], [\"Did I watch tv on 2011/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/10/30\": {\"social media\": {\"eid\": \"e1153\", \"logical_representation\": [\"2011/10/30\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/10/30?\", \"23 minutes\"], [\"what did I read on 2011/10/30?\", \"social media\"], [\"Did I read on 2011/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1154\", \"logical_representation\": [\"2011/10/30\", \"a documentary\", \"28 minutes\"], \"text_template_based\": \"I watched a documentary for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/10/30?\", \"28 minutes\"], [\"what did I watch on tv on 2011/10/30?\", \"a documentary\"], [\"Did I watch tv on 2011/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/03\": {\"watch tv\": {\"eid\": \"e1158\", \"logical_representation\": [\"2011/11/03\", \"a documentary\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/03?\", \"5 minutes\"], [\"what did I watch on tv on 2011/11/03?\", \"a documentary\"], [\"Did I watch tv on 2011/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/05\": {\"read\": {\"eid\": \"e1159\", \"logical_representation\": [\"2011/11/05\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/11/05?\", \"14 minutes\"], [\"what did I read on 2011/11/05?\", \"news\"], [\"Did I read on 2011/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/06\": {\"watch tv\": {\"eid\": \"e1160\", \"logical_representation\": [\"2011/11/06\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/06?\", \"39 minutes\"], [\"what did I watch on tv on 2011/11/06?\", \"a documentary\"], [\"Did I watch tv on 2011/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/09\": {\"chat0\": {\"eid\": \"e1163\", \"logical_representation\": [\"2011/11/09\", \"Kinsley\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I talked to Kinsley for 28 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2011/11/09?\", \"28 minutes\"], [\"who did I talk to on 2011/11/09?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2011/11/09?\", \"yes\"], [\"Did I talk to anyone on 2011/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1164\", \"logical_representation\": [\"2011/11/09\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/11/09?\", \"40 minutes\"], [\"what did I read on 2011/11/09?\", \"social media\"], [\"Did I read on 2011/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/11\": {\"breakfast\": {\"eid\": \"e1165\", \"logical_representation\": [\"2011/11/11\", \"breakfast\", \"toast and cheese\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/11/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1166\", \"logical_representation\": [\"2011/11/11\", \"Nora, Layla, Hazel\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Nora, Layla, Hazel for 30 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Hazel in the early evening on 2011/11/11?\", \"30 minutes\"], [\"who did I talk to on 2011/11/11?\", \"Nora, Layla, Hazel\"], [\"Did I talk to Nora, Layla, Hazel on 2011/11/11?\", \"yes\"], [\"Did I talk to anyone on 2011/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/12\": {\"exercise\": {\"eid\": \"e1167\", \"logical_representation\": [\"2011/11/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2011/11/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2011/11/14\": {\"lunch\": {\"eid\": \"e1168\", \"logical_representation\": [\"2011/11/14\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/11/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1169\", \"logical_representation\": [\"2011/11/14\", \"dinner\", \"sandwich\", \"Willow, Jackson\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2011/11/17\": {\"exercise\": {\"eid\": \"e1172\", \"logical_representation\": [\"2011/11/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/11/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/11/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1173\", \"logical_representation\": [\"2011/11/17\", \"a movie\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/17?\", \"30 minutes\"], [\"what did I watch on tv on 2011/11/17?\", \"a movie\"], [\"Did I watch tv on 2011/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/20\": {\"chat0\": {\"eid\": \"e1175\", \"logical_representation\": [\"2011/11/20\", \"Piper, Kinsley\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley for 40 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley late in the evening on 2011/11/20?\", \"40 minutes\"], [\"who did I talk to on 2011/11/20?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2011/11/20?\", \"yes\"], [\"Did I talk to anyone on 2011/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/22\": {\"breakfast\": {\"eid\": \"e1176\", \"logical_representation\": [\"2011/11/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/11/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1177\", \"logical_representation\": [\"2011/11/22\", \"lunch\", \"chinese food\", \"Jackson, Willow, Avery, Benjamin\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/11/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1178\", \"logical_representation\": [\"2011/11/22\", \"dinner\", \"sushi\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/22\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2011/11/24\": {\"lunch\": {\"eid\": \"e1179\", \"logical_representation\": [\"2011/11/24\", \"lunch\", \"sushi\", \"Rylee, Layla, Kinsley, Lydia, Eva\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/11/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1180\", \"logical_representation\": [\"2011/11/24\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/24?\", \"10 minutes\"], [\"what did I watch on tv on 2011/11/24?\", \"news\"], [\"Did I watch tv on 2011/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/25\": {\"lunch\": {\"eid\": \"e1181\", \"logical_representation\": [\"2011/11/25\", \"lunch\", \"fish and chips\", \"Avery, Willow\"], \"text_template_based\": \"I had lunch with Avery, Willow. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2011/11/25?\", \"Avery, Willow\"], [\"what did I eat for lunch on 2011/11/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2011/11/27\": {\"watch tv\": {\"eid\": \"e1182\", \"logical_representation\": [\"2011/11/27\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/11/27?\", \"45 minutes\"], [\"what did I watch on tv on 2011/11/27?\", \"news\"], [\"Did I watch tv on 2011/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/28\": {\"breakfast\": {\"eid\": \"e1183\", \"logical_representation\": [\"2011/11/28\", \"breakfast\", \"oatmeal\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/11/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2011/11/29\": {\"dinner\": {\"eid\": \"e1184\", \"logical_representation\": [\"2011/11/29\", \"dinner\", \"tacos\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/11/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1185\", \"logical_representation\": [\"2011/11/29\", \"Piper, Eva\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Piper, Eva for 15 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva in the early evening on 2011/11/29?\", \"15 minutes\"], [\"who did I talk to on 2011/11/29?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2011/11/29?\", \"yes\"], [\"Did I talk to anyone on 2011/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1186\", \"logical_representation\": [\"2011/11/29\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/11/29?\", \"13 minutes\"], [\"what did I read on 2011/11/29?\", \"social media\"], [\"Did I read on 2011/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/11/30\": {\"read\": {\"eid\": \"e1187\", \"logical_representation\": [\"2011/11/30\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2011/11/30?\", \"38 minutes\"], [\"what did I read on 2011/11/30?\", \"news\"], [\"Did I read on 2011/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/03\": {\"social media\": {\"eid\": \"e1191\", \"logical_representation\": [\"2011/12/03\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/12/03?\", \"6 minutes\"], [\"what did I read on 2011/12/03?\", \"social media\"], [\"Did I read on 2011/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/04\": {\"breakfast\": {\"eid\": \"e1192\", \"logical_representation\": [\"2011/12/04\", \"breakfast\", \"cereals\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1193\", \"logical_representation\": [\"2011/12/04\", \"dinner\", \"sandwich\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Kayden, Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/12/04?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for dinner on 2011/12/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2011/12/06\": {\"lunch\": {\"eid\": \"e1197\", \"logical_representation\": [\"2011/12/06\", \"lunch\", \"chinese food\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2011/12/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1198\", \"logical_representation\": [\"2011/12/06\", \"Avery\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2011/12/06?\", \"41 minutes\"], [\"who did I talk to on 2011/12/06?\", \"Avery\"], [\"Did I talk to Avery on 2011/12/06?\", \"yes\"], [\"Did I talk to anyone on 2011/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/07\": {\"chat0\": {\"eid\": \"e1199\", \"logical_representation\": [\"2011/12/07\", \"Piper, Claire\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Piper, Claire for 40 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire late in the evening on 2011/12/07?\", \"40 minutes\"], [\"who did I talk to on 2011/12/07?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2011/12/07?\", \"yes\"], [\"Did I talk to anyone on 2011/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1200\", \"logical_representation\": [\"2011/12/07\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/07?\", \"54 minutes\"], [\"what did I watch on tv on 2011/12/07?\", \"news\"], [\"Did I watch tv on 2011/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/08\": {\"exercise\": {\"eid\": \"e1201\", \"logical_representation\": [\"2011/12/08\", \"running\"], \"text_template_based\": \"I did running on 2011/12/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1202\", \"logical_representation\": [\"2011/12/08\", \"Nevaeh, Piper, Piper\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Piper for 29 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Piper in the morning on 2011/12/08?\", \"29 minutes\"], [\"who did I talk to on 2011/12/08?\", \"Nevaeh, Piper, Piper\"], [\"Did I talk to Nevaeh, Piper, Piper on 2011/12/08?\", \"yes\"], [\"Did I talk to anyone on 2011/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/11\": {\"exercise\": {\"eid\": \"e1204\", \"logical_representation\": [\"2011/12/11\", \"running\"], \"text_template_based\": \"I did running on 2011/12/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1205\", \"logical_representation\": [\"2011/12/11\", \"Kinsley\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I talked to Kinsley for 28 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2011/12/11?\", \"28 minutes\"], [\"who did I talk to on 2011/12/11?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2011/12/11?\", \"yes\"], [\"Did I talk to anyone on 2011/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1206\", \"logical_representation\": [\"2011/12/11\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/11?\", \"7 minutes\"], [\"what did I watch on tv on 2011/12/11?\", \"a documentary\"], [\"Did I watch tv on 2011/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/14\": {\"breakfast\": {\"eid\": \"e1208\", \"logical_representation\": [\"2011/12/14\", \"breakfast\", \"toast and cheese\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2011/12/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1209\", \"logical_representation\": [\"2011/12/14\", \"dinner\", \"tacos\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/12/14\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2011/12/15\": {\"chat0\": {\"eid\": \"e1210\", \"logical_representation\": [\"2011/12/15\", \"Nora, Claire, Olivia, Kinsley\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I talked to Nora, Claire, Olivia, Kinsley for 41 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Olivia, Kinsley in the morning on 2011/12/15?\", \"41 minutes\"], [\"who did I talk to on 2011/12/15?\", \"Nora, Claire, Olivia, Kinsley\"], [\"Did I talk to Nora, Claire, Olivia, Kinsley on 2011/12/15?\", \"yes\"], [\"Did I talk to anyone on 2011/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/17\": {\"exercise\": {\"eid\": \"e1211\", \"logical_representation\": [\"2011/12/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2011/12/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2011/12/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2011/12/18\": {\"dinner\": {\"eid\": \"e1212\", \"logical_representation\": [\"2011/12/18\", \"dinner\", \"indian food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Carter, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2011/12/18?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2011/12/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1213\", \"logical_representation\": [\"2011/12/18\", \"Piper, Hazel, Kinsley, Eva\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Kinsley, Eva for 49 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Kinsley, Eva during lunch hours on 2011/12/18?\", \"49 minutes\"], [\"who did I talk to on 2011/12/18?\", \"Piper, Hazel, Kinsley, Eva\"], [\"Did I talk to Piper, Hazel, Kinsley, Eva on 2011/12/18?\", \"yes\"], [\"Did I talk to anyone on 2011/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/19\": {\"chat0\": {\"eid\": \"e1214\", \"logical_representation\": [\"2011/12/19\", \"Eva\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2011/12/19?\", \"15 minutes\"], [\"who did I talk to on 2011/12/19?\", \"Eva\"], [\"Did I talk to Eva on 2011/12/19?\", \"yes\"], [\"Did I talk to anyone on 2011/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/21\": {\"watch tv\": {\"eid\": \"e1216\", \"logical_representation\": [\"2011/12/21\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2011/12/21?\", \"28 minutes\"], [\"what did I watch on tv on 2011/12/21?\", \"a movie\"], [\"Did I watch tv on 2011/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/22\": {\"dinner\": {\"eid\": \"e1217\", \"logical_representation\": [\"2011/12/22\", \"dinner\", \"chinese food\", \"Olivia, Layla\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2011/12/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1218\", \"logical_representation\": [\"2011/12/22\", \"Olivia, Piper\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Olivia, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper in the early afternoon on 2011/12/22?\", \"44 minutes\"], [\"who did I talk to on 2011/12/22?\", \"Olivia, Piper\"], [\"Did I talk to Olivia, Piper on 2011/12/22?\", \"yes\"], [\"Did I talk to anyone on 2011/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2011/12/24\": {\"chat0\": {\"eid\": \"e1219\", \"logical_representation\": [\"2011/12/24\", \"Nora\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2011/12/24?\", \"6 minutes\"], [\"who did I talk to on 2011/12/24?\", \"Nora\"], [\"Did I talk to Nora on 2011/12/24?\", \"yes\"], [\"Did I talk to anyone on 2011/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1220\", \"logical_representation\": [\"2011/12/24\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2011/12/24?\", \"48 minutes\"], [\"what did I read on 2011/12/24?\", \"social media\"], [\"Did I read on 2011/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1221\", \"logical_representation\": [\"2011/12/24\", \"news\", \"43 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[\"Did I read on 2012/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/03\": {\"personal_medical_care\": {\"eid\": \"e1248\", \"logical_representation\": [\"2012/04/03\", \"I went for an annual dental cleaning and checkup on 2012/04/03 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I went for an annual dental cleaning and checkup on 2012/04/03 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual dental cleaning and checkup in 2012?\", \"2012/04/03\"], [\"where did I go for an annual dental cleaning and checkup on 2012/04/03\", \"private clinic\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1428\", \"logical_representation\": [\"2012/04/03\", \"dinner\", \"indian food\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Carter, Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/03?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2012/04/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1429\", \"logical_representation\": [\"2012/04/03\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/04/03?\", \"9 minutes\"], [\"what did I read on 2012/04/03?\", \"social media\"], [\"Did I read on 2012/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/11\": {\"parent_medical_care\": {\"eid\": \"e1249\", \"logical_representation\": [\"2012/07/11\", \"I took my parents for their for an annual physical checkup on 2012/07/11 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I took my parents for their for an annual physical checkup on 2012/07/11 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2012?\", \"2012/07/11\"], [\"what did I do on 2012/07/11\", \"I took my parents for their for an annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1584\", \"logical_representation\": [\"2012/07/11\", \"Hazel, Nora, Lydia\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Hazel, Nora, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Lydia in the late afternoon on 2012/07/11?\", \"48 minutes\"], [\"who did I talk to on 2012/07/11?\", \"Hazel, Nora, Lydia\"], [\"Did I talk to Hazel, Nora, Lydia on 2012/07/11?\", \"yes\"], [\"Did I talk to anyone on 2012/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/25\": {\"parent_medical_care\": {\"eid\": \"e1250\", \"logical_representation\": [\"2012/11/25\", \"I took my parents for their for an annual dental cleaning and checkup on 2012/11/25 at the private clinic.\", \"private clinic\"], \"text_template_based\": \"I took my parents for their for an annual dental cleaning and checkup on 2012/11/25 at the private clinic.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2012?\", \"2012/11/25\"], [\"what did I do on 2012/11/25\", \"I took my parents for their for an annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}}, \"2012/01/13\": {\"dating\": {\"eid\": \"e1251\", \"logical_representation\": [\"2012/01/13\", \"Austin\", \"a park\"], \"text_template_based\": \"I went on a date with Austin on 2012/01/13 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/01/13\", \"Austin\"], [\"where did I go for the date on 2012/01/13\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1252\", \"logical_representation\": [\"2012/01/13\", \"I went grocery shopping with Kayden, Andrew, Emily. I bought some nectarines, clementines, watermelons, tea, chocolate milk, and mouthwash, conditioner\", \"nectarines, clementines, watermelons\", \"tea, chocolate milk\", \"mouthwash, conditioner\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping with Kayden, Andrew, Emily. I bought some nectarines, clementines, watermelons, tea, chocolate milk, and mouthwash, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/01/13?\", \"nectarines, clementines, watermelons, tea, chocolate milk, and mouthwash, conditioner\"], [\"what fruits did I buy from the grocery store on 2012/01/13?\", \"nectarines, clementines, watermelons\"], [\"what drinks did I buy from the grocery store on 2012/01/13?\", \"tea, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2012/01/13?\", \"mouthwash, conditioner\"], [\"who was with me at the grocery store on 2012/01/13?\", \"Kayden, Andrew, Emily\"]], \"multihop_qa_pairs\": []}}, \"2012/01/24\": {\"dating\": {\"eid\": \"e1253\", \"logical_representation\": [\"2012/01/24\", \"Asher\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Asher on 2012/01/24 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go 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\"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/26\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2012/01/23\": {\"hobbies\": {\"eid\": \"e1255\", \"logical_representation\": [\"2012/01/23\", \"I really enjoyed learning a language on 2012/01/23\", \"learning a language\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I really enjoyed learning a language on 2012/01/23\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2012/01/23\"], [\"On 2012/01/23, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1334\", \"logical_representation\": [\"2012/01/23\", \"dinner\", \"sushi\", \"Avery, Hazel, Nevaeh, Piper\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 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\"James\", \"a park\"], \"text_template_based\": \"On 2012/02/15, I took James on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/02/15\", \"James\"], [\"where did I go for the date on 2012/02/15\", \"a park\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1366\", \"logical_representation\": [\"2012/02/15\", \"Nora, Lydia, Kinsley, Layla\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Nora, Lydia, Kinsley, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Kinsley, Layla late in the evening on 2012/02/15?\", \"42 minutes\"], [\"who did I talk to on 2012/02/15?\", \"Nora, Lydia, Kinsley, Layla\"], [\"Did I talk to Nora, Lydia, Kinsley, Layla on 2012/02/15?\", \"yes\"], [\"Did I talk to anyone on 2012/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/14\": {\"hobbies\": {\"eid\": \"e1258\", \"logical_representation\": [\"2012/02/14\", \"I spent time meditation on 2012/02/14 with Kayden, Carter, Andrew.\", \"meditation\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I spent time meditation on 2012/02/14 with Kayden, Carter, Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Kayden, Carter, Andrew?\", \"2012/02/14\"], [\"On 2012/02/14, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2012/02/14?\", \"Kayden, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1365\", \"logical_representation\": [\"2012/02/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/02/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2012/02/18\": {\"grocery\": {\"eid\": \"e1259\", \"logical_representation\": 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I bought some mandarins, apples, chocolate milk, coffee, and conditioner, body lotion, toothbrush, mouth wash\", \"mandarins, apples\", \"chocolate milk, coffee\", \"conditioner, body lotion, toothbrush, mouth wash\", \"Benjamin\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, apples, chocolate milk, coffee, and conditioner, body lotion, toothbrush, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/02/18?\", \"mandarins, apples, chocolate milk, coffee, and conditioner, body lotion, toothbrush, mouth wash\"], [\"what fruits did I buy from the grocery store on 2012/02/18?\", \"mandarins, apples\"], [\"what drinks did I buy from the grocery store on 2012/02/18?\", \"chocolate milk, coffee\"], [\"what toiletries did I buy from the grocery store on 2012/02/18?\", \"conditioner, body lotion, toothbrush, mouth wash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1374\", \"logical_representation\": [\"2012/02/18\", \"lunch\", \"sushi\", \"Benjamin, Avery\"], \"text_template_based\": \"I had sushi for lunch with Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/02/18?\", \"Benjamin, Avery\"], [\"what did I eat for lunch on 2012/02/18\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2012/02/22\": {\"dating\": {\"eid\": \"e1260\", \"logical_representation\": [\"2012/02/22\", \"Christophe\", \"a restaurant\"], \"text_template_based\": \"On 2012/02/22, I took Christophe on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/02/22\", \"Christophe\"], [\"where did I go for the date on 2012/02/22\", \"a restaurant\"]], \"multihop_qa_pairs\": []}}, \"2012/02/19\": {\"grocery\": {\"eid\": \"e1261\", \"logical_representation\": [\"2012/02/19\", \"I went grocery shopping with Andrew. I bought some oranges, watermelons, orange juice, chocolate milk, coffee, guava juice, and toilet paper, mouthwash, facial wash, shaving cream\", \"oranges, watermelons\", \"orange juice, chocolate milk, coffee, guava juice\", \"toilet paper, mouthwash, facial wash, shaving cream\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping with Andrew. I bought some oranges, watermelons, orange juice, chocolate milk, coffee, guava juice, and toilet paper, mouthwash, facial wash, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/02/19?\", \"oranges, watermelons, orange juice, chocolate milk, coffee, guava juice, and toilet paper, mouthwash, facial wash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2012/02/19?\", \"oranges, watermelons\"], [\"what drinks did I buy from the grocery store on 2012/02/19?\", \"orange juice, chocolate milk, coffee, guava juice\"], [\"what toiletries did I buy from the grocery store on 2012/02/19?\", \"toilet paper, mouthwash, facial wash, shaving cream\"], [\"who was with me at the grocery store on 2012/02/19?\", \"Andrew\"]], \"multihop_qa_pairs\": []}}, \"2012/02/27\": {\"grocery\": {\"eid\": \"e1262\", \"logical_representation\": [\"2012/02/27\", \"I went grocery shopping. I bought some guava, orange juice, and mouth wash\", \"guava\", \"orange juice\", \"mouth wash\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some guava, orange juice, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/02/27?\", \"guava, orange juice, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2012/02/27?\", \"guava\"], [\"what drinks did I buy from the grocery store on 2012/02/27?\", \"orange juice\"], [\"what toiletries did I buy from the grocery store on 2012/02/27?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}}, \"2012/03/01\": {\"grocery\": {\"eid\": \"e1263\", \"logical_representation\": [\"2012/03/01\", \"I went grocery shopping. I bought some mangos, bananas, watermelons, cherres, tea, and toilet paper\", \"mangos, bananas, watermelons, cherres\", \"tea\", \"toilet paper\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, bananas, watermelons, cherres, tea, and toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/03/01?\", \"mangos, bananas, watermelons, cherres, tea, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2012/03/01?\", \"mangos, bananas, watermelons, cherres\"], [\"what drinks did I buy from the grocery store on 2012/03/01?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2012/03/01?\", \"toilet paper\"]], \"multihop_qa_pairs\": []}}, \"2012/03/16\": {\"dating\": {\"eid\": \"e1265\", \"logical_representation\": [\"2012/03/16\", \"Leah\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Leah on 2012/03/16 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/03/16\", \"Leah\"], [\"where did I go for the date on 2012/03/16\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1404\", \"logical_representation\": [\"2012/03/16\", \"Nora, Claire, Rylee, Layla\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I talked to Nora, Claire, Rylee, Layla for 29 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Rylee, Layla in the late afternoon on 2012/03/16?\", \"29 minutes\"], [\"who did I talk to on 2012/03/16?\", \"Nora, Claire, Rylee, Layla\"], [\"Did I talk to Nora, Claire, Rylee, Layla on 2012/03/16?\", \"yes\"], [\"Did I talk to anyone on 2012/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1405\", \"logical_representation\": [\"2012/03/16\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/03/16?\", \"8 minutes\"], [\"what did I read on 2012/03/16?\", \"a book\"], [\"Did I read on 2012/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/24\": {\"dating\": {\"eid\": \"e1266\", \"logical_representation\": [\"2012/03/24\", \"Piper\", \"a park\"], \"text_template_based\": \"I went on a date with Piper on 2012/03/24 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/03/24\", \"Piper\"], [\"where did I go for the date on 2012/03/24\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1267\", \"logical_representation\": [\"2012/03/24\", \"I went grocery shopping with Andrew, Carter, Kayden, Emily. I bought some cherres, mangos, pineapples, chocolate milk, apple juice, mango juice, mineral water, and facial wash, toothpaste, body lotion, conditioner\", \"cherres, mangos, pineapples\", \"chocolate milk, apple juice, mango juice, mineral water\", \"facial wash, toothpaste, body lotion, conditioner\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping with Andrew, Carter, Kayden, Emily. I bought some cherres, mangos, pineapples, chocolate milk, apple juice, mango juice, mineral water, and facial wash, toothpaste, body lotion, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/03/24?\", \"cherres, mangos, pineapples, chocolate milk, apple juice, mango juice, mineral water, and facial wash, toothpaste, body lotion, conditioner\"], [\"what fruits did I buy from the grocery store on 2012/03/24?\", \"cherres, mangos, pineapples\"], [\"what drinks did I buy from the grocery store on 2012/03/24?\", \"chocolate milk, apple juice, mango juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2012/03/24?\", \"facial wash, toothpaste, body lotion, conditioner\"], [\"who was with me at the grocery store on 2012/03/24?\", \"Andrew, Carter, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1418\", \"logical_representation\": [\"2012/03/24\", \"dinner\", \"indian food\", \"Carter, Kayden\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/24\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2012/03/31\": {\"grocery\": {\"eid\": \"e1268\", \"logical_representation\": [\"2012/03/31\", \"I went grocery shopping with Emily. I bought some raspberries, mangos, pears, guava, guava juice, apple juice, pineapple juice, soda, and mouth wash, body lotion, toothbrush, facial wash\", \"raspberries, mangos, pears, guava\", \"guava juice, apple juice, pineapple juice, soda\", \"mouth wash, body lotion, toothbrush, facial wash\", \"Emily\"], \"text_template_based\": \"I went grocery shopping with Emily. I bought some raspberries, mangos, pears, guava, guava juice, apple juice, pineapple juice, soda, and mouth wash, body lotion, toothbrush, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/03/31?\", \"raspberries, mangos, pears, guava, guava juice, apple juice, pineapple juice, soda, and mouth wash, body lotion, toothbrush, facial wash\"], [\"what fruits did I buy from the grocery store on 2012/03/31?\", \"raspberries, mangos, pears, guava\"], [\"what drinks did I buy from the grocery store on 2012/03/31?\", \"guava juice, apple juice, pineapple juice, soda\"], [\"what toiletries did I buy from the grocery store on 2012/03/31?\", \"mouth wash, body lotion, toothbrush, facial wash\"], [\"who was with me at the grocery store on 2012/03/31?\", \"Emily\"]], \"multihop_qa_pairs\": []}}, \"2012/04/04\": {\"grocery\": {\"eid\": \"e1269\", \"logical_representation\": [\"2012/04/04\", \"I bought some strawberries, pineapples, orange juice, toilet paper, mouth wash online.\", \"strawberries, pineapples\", \"orange juice\", \"toilet paper, mouth wash\", \"Andrew, Carter\"], \"text_template_based\": \"I bought some strawberries, pineapples, orange juice, toilet paper, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/04/04?\", \"strawberries, pineapples, orange juice, and toilet paper, mouth wash\"], [\"what fruits did I buy online on 2012/04/04?\", \"strawberries, pineapples\"], [\"what drinks did I buy online on 2012/04/04?\", \"orange juice\"], [\"what toiletries did I buy online on 2012/04/04?\", \"toilet paper, mouth wash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1430\", \"logical_representation\": [\"2012/04/04\", \"lunch\", \"fish and chips\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/04/04?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2012/04/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2012/04/10\": {\"dating\": {\"eid\": \"e1270\", \"logical_representation\": [\"2012/04/10\", \"Connor\", \"a park\"], \"text_template_based\": \"I went on a date with Connor on 2012/04/10 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/04/10\", \"Connor\"], [\"where did I go for the date on 2012/04/10\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1436\", \"logical_representation\": [\"2012/04/10\", \"biking\"], \"text_template_based\": \"I did biking on 2012/04/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1437\", \"logical_representation\": [\"2012/04/10\", \"lunch\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/04/10?\", \"Emily\"], [\"what did I eat for lunch on 2012/04/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1438\", \"logical_representation\": [\"2012/04/10\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/10?\", \"15 minutes\"], [\"what did I watch on tv on 2012/04/10?\", \"news\"], [\"Did I watch tv on 2012/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/09\": {\"grocery\": {\"eid\": \"e1271\", \"logical_representation\": [\"2012/04/09\", \"I went grocery shopping with Avery, Willow. I bought some pineapples, strawberries, apricots, cherres, coffee, and conditioner, facial wash, shampoo\", \"pineapples, strawberries, apricots, cherres\", \"coffee\", \"conditioner, facial wash, shampoo\", \"Avery, Willow\"], \"text_template_based\": \"I went grocery shopping with Avery, Willow. I bought some pineapples, strawberries, apricots, cherres, coffee, and conditioner, facial wash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/04/09?\", \"pineapples, strawberries, apricots, cherres, coffee, and conditioner, facial wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2012/04/09?\", \"pineapples, strawberries, apricots, cherres\"], [\"what drinks did I buy from the grocery store on 2012/04/09?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2012/04/09?\", \"conditioner, facial wash, shampoo\"], [\"who was with me at the grocery store on 2012/04/09?\", \"Avery, Willow\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1433\", \"logical_representation\": [\"2012/04/09\", \"breakfast\", \"pancakes\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had breakfast with Benjamin, Willow, Jackson, Avery. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/04/09?\", \"Benjamin, Willow, Jackson, Avery\"], [\"what did I eat for breakfast on 2012/04/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1434\", \"logical_representation\": [\"2012/04/09\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/04/09?\", \"44 minutes\"], [\"what did I read on 2012/04/09?\", \"a book\"], [\"Did I read on 2012/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1435\", \"logical_representation\": [\"2012/04/09\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/09?\", \"18 minutes\"], [\"what did I watch on tv on 2012/04/09?\", \"news\"], [\"Did I watch tv on 2012/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/17\": {\"hobbies\": {\"eid\": \"e1272\", \"logical_representation\": [\"2012/04/17\", \"I spent time working out on 2012/04/17 with Carter, Andrew, Kayden.\", \"working out\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I spent time working out on 2012/04/17 with Carter, Andrew, Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Carter, Andrew, Kayden?\", \"2012/04/17\"], [\"On 2012/04/17, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2012/04/17?\", \"Carter, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1448\", \"logical_representation\": [\"2012/04/17\", \"a tv series\", \"15 minutes\"], \"text_template_based\": \"I watched a tv series for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/17?\", \"15 minutes\"], [\"what did I watch on tv on 2012/04/17?\", \"a tv series\"], [\"Did I watch tv on 2012/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/28\": {\"dating\": {\"eid\": \"e1273\", \"logical_representation\": [\"2012/04/28\", \"Scarlett\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Scarlett on 2012/04/28 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/04/28\", \"Scarlett\"], [\"where did I go for the date on 2012/04/28\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1467\", \"logical_representation\": [\"2012/04/28\", \"breakfast\", \"toast and cheese\", \"Piper, Olivia, Claire, Lydia, Kinsley, Nevaeh, Piper, Eva, Hazel, Rylee\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/04/28\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1468\", \"logical_representation\": [\"2012/04/28\", \"Eva\", \"during lunch hours\", \"50 minutes\"], \"text_template_based\": \"I talked to Eva for 50 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2012/04/28?\", \"50 minutes\"], [\"who did I talk to on 2012/04/28?\", \"Eva\"], [\"Did I talk to Eva on 2012/04/28?\", \"yes\"], [\"Did I talk to anyone on 2012/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/05\": {\"grocery\": {\"eid\": \"e1274\", \"logical_representation\": [\"2012/05/05\", \"I went grocery shopping. I bought some oranges, chocolate milk, soda, sports drinks, and mouthwash, mouth wash, toothbrush\", \"oranges\", \"chocolate milk, soda, sports drinks\", \"mouthwash, mouth wash, toothbrush\", \"Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, chocolate milk, soda, sports drinks, and mouthwash, mouth wash, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/05/05?\", \"oranges, chocolate milk, soda, sports drinks, and mouthwash, mouth wash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2012/05/05?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2012/05/05?\", \"chocolate milk, soda, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2012/05/05?\", \"mouthwash, mouth wash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1476\", \"logical_representation\": [\"2012/05/05\", \"Nora, Piper\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Nora, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the morning on 2012/05/05?\", \"19 minutes\"], [\"who did I talk to on 2012/05/05?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2012/05/05?\", \"yes\"], [\"Did I talk to anyone on 2012/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/08\": {\"dating\": {\"eid\": \"e1275\", \"logical_representation\": [\"2012/05/08\", \"Elijah\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Elijah on 2012/05/08 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/05/08\", \"Elijah\"], [\"where did I go for the date on 2012/05/08\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1482\", \"logical_representation\": [\"2012/05/08\", \"lunch\", \"pasta\", \"Olivia, Hazel, Piper, Claire, Kinsley, Lydia, Nora, Piper, Layla, Rylee, Nevaeh, Eva, Avery\"], \"text_template_based\": \"I had pasta for lunch with Olivia, Hazel, Piper, Claire, Kinsley, Lydia, Nora, Piper, Layla, Rylee, Nevaeh, Eva, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/05/08?\", \"Olivia, Hazel, Piper, Claire, Kinsley, Lydia, Nora, Piper, Layla, Rylee, Nevaeh, Eva, Avery\"], [\"what did I eat for lunch on 2012/05/08\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2012/05/07\": {\"grocery\": {\"eid\": \"e1276\", \"logical_representation\": [\"2012/05/07\", \"I bought some peaches, mineral water, guava juice, conditioner, body lotion from the grocery store. I saw Kinsley, Nora, Lydia, Olivia, Claire at the grocery store.\", \"peaches\", \"mineral water, guava juice\", \"conditioner, body lotion\", \"Kinsley, Nora, Lydia, Olivia, Claire\"], \"text_template_based\": \"I bought some peaches, mineral water, guava juice, conditioner, body lotion from the grocery store. I saw Kinsley, Nora, Lydia, Olivia, Claire at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/05/07?\", \"peaches, mineral water, guava juice, and conditioner, body lotion\"], [\"what fruits did I buy from the grocery store on 2012/05/07?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2012/05/07?\", \"mineral water, guava juice\"], [\"what toiletries did I buy from the grocery store on 2012/05/07?\", \"conditioner, body lotion\"], [\"who did I see at the grocery store on 2012/05/07?\", \"Kinsley, Nora, Lydia, Olivia, Claire\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1480\", \"logical_representation\": [\"2012/05/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/05/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/05/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1481\", \"logical_representation\": [\"2012/05/07\", \"Layla\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Layla for 53 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2012/05/07?\", \"53 minutes\"], [\"who did I talk to on 2012/05/07?\", \"Layla\"], [\"Did I talk to Layla on 2012/05/07?\", \"yes\"], [\"Did I talk to anyone on 2012/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/13\": {\"dating\": {\"eid\": \"e1277\", \"logical_representation\": [\"2012/05/13\", \"Ellie\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Ellie on 2012/05/13 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/05/13\", \"Ellie\"], [\"where did I go for the date on 2012/05/13\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1486\", \"logical_representation\": [\"2012/05/13\", \"breakfast\", \"pancakes\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had pancakes for breakfast with Jackson, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/05/13?\", \"Jackson, Willow, Avery\"], [\"what did I eat for breakfast on 2012/05/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1487\", \"logical_representation\": [\"2012/05/13\", \"dinner\", \"tacos\", \"Hazel, Piper\"], \"text_template_based\": \"I had dinner with Hazel, Piper. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/05/13?\", \"Hazel, Piper\"], [\"what did I eat for dinner on 2012/05/13\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2012/05/18\": {\"dating\": {\"eid\": \"e1278\", \"logical_representation\": [\"2012/05/18\", \"Dylan\", \"a park\"], \"text_template_based\": \"I went on a date with Dylan on 2012/05/18 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/05/18\", \"Dylan\"], [\"where did I go for the date on 2012/05/18\", \"a park\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1495\", \"logical_representation\": [\"2012/05/18\", \"lunch\", \"sandwich\", \"Jackson, Benjamin\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/05/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1496\", \"logical_representation\": [\"2012/05/18\", \"dinner\", \"indian food\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/18\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2012/05/15\": {\"grocery\": {\"eid\": \"e1279\", \"logical_representation\": [\"2012/05/15\", \"I bought some bananas, nectarines, mineral water, toilet paper, toothpaste, body lotion, mouthwash from the grocery store. I saw Claire, Olivia, Avery, Piper, Eva, Kinsley, Lydia, Nora at the grocery store.\", \"bananas, nectarines\", \"mineral water\", \"toilet paper, toothpaste, body lotion, mouthwash\", \"Claire, Olivia, Avery, Piper, Eva, Kinsley, Lydia, Nora\"], \"text_template_based\": \"I bought some bananas, nectarines, mineral water, toilet paper, toothpaste, body lotion, mouthwash from the grocery store. I saw Claire, Olivia, Avery, Piper, Eva, Kinsley, Lydia, Nora at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/05/15?\", \"bananas, nectarines, mineral water, and toilet paper, toothpaste, body lotion, mouthwash\"], [\"what fruits did I buy from the grocery store on 2012/05/15?\", \"bananas, nectarines\"], [\"what drinks did I buy from the grocery store on 2012/05/15?\", \"mineral water\"], [\"what toiletries did I buy from the grocery store on 2012/05/15?\", \"toilet paper, toothpaste, body lotion, mouthwash\"], [\"who did I see at the grocery store on 2012/05/15?\", \"Claire, Olivia, Avery, Piper, Eva, Kinsley, Lydia, Nora\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1490\", \"logical_representation\": [\"2012/05/15\", \"lunch\", \"fish and chips\", \"Olivia, Avery, Piper, Nevaeh, Nora, Piper, Rylee, Claire, Hazel, Layla\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/05/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1491\", \"logical_representation\": [\"2012/05/15\", \"Nora, Nevaeh, Olivia\", \"in the morning\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Nora, Nevaeh, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Olivia in the morning on 2012/05/15?\", \"41 minutes\"], [\"who did I talk to on 2012/05/15?\", \"Nora, Nevaeh, Olivia\"], [\"Did I talk to Nora, Nevaeh, Olivia on 2012/05/15?\", \"yes\"], [\"Did I talk to anyone on 2012/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1492\", \"logical_representation\": [\"2012/05/15\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I watched a documentary for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/15?\", \"43 minutes\"], [\"what did I watch on tv on 2012/05/15?\", \"a documentary\"], [\"Did I watch tv on 2012/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/28\": {\"dating\": {\"eid\": \"e1280\", \"logical_representation\": [\"2012/05/28\", \"Maya\", \"a boba shop\"], \"text_template_based\": \"On 2012/05/28, I took Maya on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/05/28\", \"Maya\"], [\"where did I go for the date on 2012/05/28\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1513\", \"logical_representation\": [\"2012/05/28\", \"biking\"], \"text_template_based\": \"I did biking on 2012/05/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/05/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1514\", \"logical_representation\": [\"2012/05/28\", \"Piper\", \"in the early evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2012/05/28?\", \"22 minutes\"], [\"who did I talk to on 2012/05/28?\", \"Piper\"], [\"Did I talk to Piper on 2012/05/28?\", \"yes\"], [\"Did I talk to anyone on 2012/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/01\": {\"grocery\": {\"eid\": \"e1281\", \"logical_representation\": [\"2012/06/01\", \"I bought some guava, cherres, bananas, apples, tea, coffee, apple juice, conditioner, toothbrush, mouth wash from the grocery store. I saw Emily, Kayden at the grocery store.\", \"guava, cherres, bananas, apples\", \"tea, coffee, apple juice\", \"conditioner, toothbrush, mouth wash\", \"Emily, Kayden\"], \"text_template_based\": \"I bought some guava, cherres, bananas, apples, tea, coffee, apple juice, conditioner, toothbrush, mouth wash from the grocery store. I saw Emily, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/06/01?\", \"guava, cherres, bananas, apples, tea, coffee, apple juice, and conditioner, toothbrush, mouth wash\"], [\"what fruits did I buy from the grocery store on 2012/06/01?\", \"guava, cherres, bananas, apples\"], [\"what drinks did I buy from the grocery store on 2012/06/01?\", \"tea, coffee, apple juice\"], [\"what toiletries did I buy from the grocery store on 2012/06/01?\", \"conditioner, toothbrush, mouth wash\"], [\"who did I see at the grocery store on 2012/06/01?\", \"Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1519\", \"logical_representation\": [\"2012/06/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/06/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2012/06/07\": {\"grocery\": {\"eid\": \"e1282\", \"logical_representation\": [\"2012/06/07\", \"I went grocery shopping with Emily. I bought some watermelons, peaches, cherres, guava, chocolate milk, apple juice, mango juice, and paper towel, mouth wash, shampoo\", \"watermelons, peaches, cherres, guava\", \"chocolate milk, apple juice, mango juice\", \"paper towel, mouth wash, shampoo\", \"Emily\"], \"text_template_based\": \"I went grocery shopping with Emily. I bought some watermelons, peaches, cherres, guava, chocolate milk, apple juice, mango juice, and paper towel, mouth wash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/06/07?\", \"watermelons, peaches, cherres, guava, chocolate milk, apple juice, mango juice, and paper towel, mouth wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2012/06/07?\", \"watermelons, peaches, cherres, guava\"], [\"what drinks did I buy from the grocery store on 2012/06/07?\", \"chocolate milk, apple juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2012/06/07?\", \"paper towel, mouth wash, shampoo\"], [\"who was with me at the grocery store on 2012/06/07?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1528\", \"logical_representation\": [\"2012/06/07\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/06/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1529\", \"logical_representation\": [\"2012/06/07\", \"Layla\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2012/06/07?\", \"39 minutes\"], [\"who did I talk to on 2012/06/07?\", \"Layla\"], [\"Did I talk to Layla on 2012/06/07?\", \"yes\"], [\"Did I talk to anyone on 2012/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/23\": {\"grocery\": {\"eid\": \"e1283\", \"logical_representation\": [\"2012/06/23\", \"I bought some pineapples, raspberries, coffee, paper towel, shampoo from the grocery store. I saw Eva, Lydia, Piper, Piper, Claire, Nora, Avery, Hazel at the grocery store.\", \"pineapples, raspberries\", \"coffee\", \"paper towel, shampoo\", \"Eva, Lydia, Piper, Piper, Claire, Nora, Avery, Hazel\"], \"text_template_based\": \"I bought some pineapples, raspberries, coffee, paper towel, shampoo from the grocery store. I saw Eva, Lydia, Piper, Piper, Claire, Nora, Avery, Hazel at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/06/23?\", \"pineapples, raspberries, coffee, and paper towel, shampoo\"], [\"what fruits did I buy from the grocery store on 2012/06/23?\", \"pineapples, raspberries\"], [\"what drinks did I buy from the grocery store on 2012/06/23?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2012/06/23?\", \"paper towel, shampoo\"], [\"who did I see at the grocery store on 2012/06/23?\", \"Eva, Lydia, Piper, Piper, Claire, Nora, Avery, Hazel\"]], \"multihop_qa_pairs\": []}}, \"2012/06/28\": {\"dating\": {\"eid\": \"e1284\", \"logical_representation\": [\"2012/06/28\", \"Audrey\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Audrey on 2012/06/28 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/06/28\", \"Audrey\"], [\"where did I go for the date on 2012/06/28\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1561\", \"logical_representation\": [\"2012/06/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/06/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1562\", \"logical_representation\": [\"2012/06/28\", \"lunch\", \"sushi\", \"Carter, Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/06/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1563\", \"logical_representation\": [\"2012/06/28\", \"Rylee\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Rylee for 10 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2012/06/28?\", \"10 minutes\"], [\"who did I talk to on 2012/06/28?\", \"Rylee\"], [\"Did I talk to Rylee on 2012/06/28?\", \"yes\"], [\"Did I talk to anyone on 2012/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1564\", \"logical_representation\": [\"2012/06/28\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/28?\", \"8 minutes\"], [\"what did I watch on tv on 2012/06/28?\", \"news\"], [\"Did I watch tv on 2012/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/27\": {\"hobbies\": {\"eid\": \"e1285\", \"logical_representation\": [\"2012/06/27\", \"I spent time learning a language on 2012/06/27 with Kayden, Emily, Carter.\", \"learning a language\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I spent time learning a language on 2012/06/27 with Kayden, Emily, Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Kayden, Emily, Carter?\", \"2012/06/27\"], [\"On 2012/06/27, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2012/06/27?\", \"Kayden, Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1560\", \"logical_representation\": [\"2012/06/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/06/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2012/07/02\": {\"dating\": {\"eid\": \"e1286\", \"logical_representation\": [\"2012/07/02\", \"David\", \"a boba shop\"], \"text_template_based\": \"On 2012/07/02, I took David on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/07/02\", \"David\"], [\"where did I go for the date on 2012/07/02\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1571\", \"logical_representation\": [\"2012/07/02\", \"dinner\", \"sandwich\", \"Hazel, Rylee, Avery\"], \"text_template_based\": \"I had sandwich for dinner with Hazel, Rylee, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/07/02?\", \"Hazel, Rylee, Avery\"], [\"what did I eat for dinner on 2012/07/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1572\", \"logical_representation\": [\"2012/07/02\", \"Nevaeh, Olivia\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia for 46 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia late in the evening on 2012/07/02?\", \"46 minutes\"], [\"who did I talk to on 2012/07/02?\", \"Nevaeh, Olivia\"], [\"Did I talk to Nevaeh, Olivia on 2012/07/02?\", \"yes\"], [\"Did I talk to anyone on 2012/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/05\": {\"hobbies\": {\"eid\": \"e1287\", \"logical_representation\": [\"2012/07/05\", \"I really enjoyed meditation on 2012/07/05\", \"meditation\", \"Andrew, Kayden\"], \"text_template_based\": \"I really enjoyed meditation on 2012/07/05\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2012/07/05\"], [\"On 2012/07/05, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1575\", \"logical_representation\": [\"2012/07/05\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/07/05?\", \"53 minutes\"], [\"what did I read on 2012/07/05?\", \"a book\"], [\"Did I read on 2012/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/07\": {\"grocery\": {\"eid\": \"e1288\", \"logical_representation\": [\"2012/07/07\", \"I bought some pears, nectarines, oranges, pineapple juice, coffee, shampoo, toilet paper, paper towel, toothbrush from the grocery store. I saw Nevaeh, Claire, Eva, Piper, Avery, Piper, Hazel at the grocery store.\", \"pears, nectarines, oranges\", \"pineapple juice, coffee\", \"shampoo, toilet paper, paper towel, toothbrush\", \"Nevaeh, Claire, Eva, Piper, Avery, Piper, Hazel\"], \"text_template_based\": \"I bought some pears, nectarines, oranges, pineapple juice, coffee, shampoo, toilet paper, paper towel, toothbrush from the grocery store. I saw Nevaeh, Claire, Eva, Piper, Avery, Piper, Hazel at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/07/07?\", \"pears, nectarines, oranges, pineapple juice, coffee, and shampoo, toilet paper, paper towel, toothbrush\"], [\"what fruits did I buy from the grocery store on 2012/07/07?\", \"pears, nectarines, oranges\"], [\"what drinks did I buy from the grocery store on 2012/07/07?\", \"pineapple juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2012/07/07?\", \"shampoo, toilet paper, paper towel, toothbrush\"], [\"who did I see at the grocery store on 2012/07/07?\", \"Nevaeh, Claire, Eva, Piper, Avery, Piper, Hazel\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1577\", \"logical_representation\": [\"2012/07/07\", \"breakfast\", \"toast and cheese\", \"Hazel, Layla, Rylee, Kinsley, Lydia, Olivia, Claire, Nora, Piper\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2012/07/12\": {\"hobbies\": {\"eid\": \"e1289\", \"logical_representation\": [\"2012/07/12\", \"I spent time working out on 2012/07/12 with Carter, Andrew, Emily.\", \"working out\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I spent time working out on 2012/07/12 with Carter, Andrew, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Carter, Andrew, Emily?\", \"2012/07/12\"], [\"On 2012/07/12, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2012/07/12?\", \"Carter, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1290\", \"logical_representation\": [\"2012/07/12\", \"I bought some cherres, mineral water, sports drinks, guava juice, toothpaste online.\", \"cherres\", \"mineral water, sports drinks, guava juice\", \"toothpaste\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I bought some cherres, mineral water, sports drinks, guava juice, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/07/12?\", \"cherres, mineral water, sports drinks, guava juice, and toothpaste\"], [\"what fruits did I buy online on 2012/07/12?\", \"cherres\"], [\"what drinks did I buy online on 2012/07/12?\", \"mineral water, sports drinks, guava juice\"], [\"what toiletries did I buy online on 2012/07/12?\", \"toothpaste\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1585\", \"logical_representation\": [\"2012/07/12\", \"Kinsley, Eva, Layla, Avery\", \"late in the evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva, Layla, Avery for 23 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Layla, Avery late in the evening on 2012/07/12?\", \"23 minutes\"], [\"who did I talk to on 2012/07/12?\", \"Kinsley, Eva, Layla, Avery\"], [\"Did I talk to Kinsley, Eva, Layla, Avery on 2012/07/12?\", \"yes\"], [\"Did I talk to anyone on 2012/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/21\": {\"dating\": {\"eid\": \"e1291\", \"logical_representation\": [\"2012/07/21\", \"Genesis\", \"a restaurant\"], \"text_template_based\": \"On 2012/07/21, I took Genesis on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/07/21\", \"Genesis\"], [\"where did I go for the date on 2012/07/21\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1292\", \"logical_representation\": [\"2012/07/21\", \"I went grocery shopping with Willow, Jackson, Benjamin. I bought some raspberries, apricots, tea, chocolate milk, apple juice, and mouthwash, paper towel, toothbrush, conditioner\", \"raspberries, apricots\", \"tea, chocolate milk, apple juice\", \"mouthwash, paper towel, toothbrush, conditioner\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I went grocery shopping with Willow, Jackson, Benjamin. I bought some raspberries, apricots, tea, chocolate milk, apple juice, and mouthwash, paper towel, toothbrush, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/07/21?\", \"raspberries, apricots, tea, chocolate milk, apple juice, and mouthwash, paper towel, toothbrush, conditioner\"], [\"what fruits did I buy from the grocery store on 2012/07/21?\", \"raspberries, apricots\"], [\"what drinks did I buy from the grocery store on 2012/07/21?\", \"tea, chocolate milk, apple juice\"], [\"what toiletries did I buy from the grocery store on 2012/07/21?\", \"mouthwash, paper towel, toothbrush, conditioner\"], [\"who was with me at the grocery store on 2012/07/21?\", \"Willow, Jackson, Benjamin\"]], \"multihop_qa_pairs\": []}}, \"2012/08/04\": {\"hobbies\": {\"eid\": \"e1293\", \"logical_representation\": [\"2012/08/04\", \"I really enjoyed gardening on 2012/08/04\", \"gardening\", \"Andrew\"], \"text_template_based\": \"I really enjoyed gardening on 2012/08/04\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2012/08/04\"], [\"On 2012/08/04, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1614\", \"logical_representation\": [\"2012/08/04\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/08/04?\", \"8 minutes\"], [\"what did I read on 2012/08/04?\", \"a book\"], [\"Did I read on 2012/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/31\": {\"grocery\": {\"eid\": \"e1294\", \"logical_representation\": [\"2012/07/31\", \"I bought some apricots, apples, watermelons, mineral water, sports drinks, shaving cream, conditioner from the grocery store. I saw Carter, Kayden, Andrew at the grocery store.\", \"apricots, apples, watermelons\", \"mineral water, sports drinks\", \"shaving cream, conditioner\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I bought some apricots, apples, watermelons, mineral water, sports drinks, shaving cream, conditioner from the grocery store. I saw Carter, Kayden, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/07/31?\", \"apricots, apples, watermelons, mineral water, sports drinks, and shaving cream, conditioner\"], [\"what fruits did I buy from the grocery store on 2012/07/31?\", \"apricots, apples, watermelons\"], [\"what drinks did I buy from the grocery store on 2012/07/31?\", \"mineral water, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2012/07/31?\", \"shaving cream, conditioner\"], [\"who did I see at the grocery store on 2012/07/31?\", \"Carter, Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1608\", \"logical_representation\": [\"2012/07/31\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/07/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/31?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1609\", \"logical_representation\": [\"2012/07/31\", \"dinner\", \"fish and chips\", \"Kinsley, Hazel, Rylee, Layla, Olivia, Eva, Avery, Nora, Nevaeh, Piper, Piper, Lydia\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/07/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1610\", \"logical_representation\": [\"2012/07/31\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/07/31?\", \"46 minutes\"], [\"what did I read on 2012/07/31?\", \"social media\"], [\"Did I read on 2012/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/03\": {\"grocery\": {\"eid\": \"e1295\", \"logical_representation\": [\"2012/08/03\", \"I bought some cherres, blackberries, raspberries, guava, pineapple juice, mineral water, tea, soda, body lotion from the grocery store. I saw Emily at the grocery store.\", \"cherres, blackberries, raspberries, guava\", \"pineapple juice, mineral water, tea, soda\", \"body lotion\", \"Emily\"], \"text_template_based\": \"I bought some cherres, blackberries, raspberries, guava, pineapple juice, mineral water, tea, soda, body lotion from the grocery store. I saw Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/08/03?\", \"cherres, blackberries, raspberries, guava, pineapple juice, mineral water, tea, soda, and body lotion\"], [\"what fruits did I buy from the grocery store on 2012/08/03?\", \"cherres, blackberries, raspberries, guava\"], [\"what drinks did I buy from the grocery store on 2012/08/03?\", \"pineapple juice, mineral water, tea, soda\"], [\"what toiletries did I buy from the grocery store on 2012/08/03?\", \"body lotion\"], [\"who did I see at the grocery store on 2012/08/03?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1612\", \"logical_representation\": [\"2012/08/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/08/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1613\", \"logical_representation\": [\"2012/08/03\", \"Lydia, Eva, Olivia, Claire\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Lydia, Eva, Olivia, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Olivia, Claire in the early afternoon on 2012/08/03?\", \"21 minutes\"], [\"who did I talk to on 2012/08/03?\", \"Lydia, Eva, Olivia, Claire\"], [\"Did I talk to Lydia, Eva, Olivia, Claire on 2012/08/03?\", \"yes\"], [\"Did I talk to anyone on 2012/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/08\": {\"grocery\": {\"eid\": \"e1296\", \"logical_representation\": [\"2012/08/08\", \"I bought some apples, tea, toothbrush, shampoo from the grocery store. I saw Carter at the grocery store.\", \"apples\", \"tea\", \"toothbrush, shampoo\", \"Carter\"], \"text_template_based\": \"I bought some apples, tea, toothbrush, shampoo from the grocery store. I saw Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/08/08?\", \"apples, tea, and toothbrush, shampoo\"], [\"what fruits did I buy from the grocery store on 2012/08/08?\", \"apples\"], [\"what drinks did I buy from the grocery store on 2012/08/08?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2012/08/08?\", \"toothbrush, shampoo\"], [\"who did I see at the grocery store on 2012/08/08?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1619\", \"logical_representation\": [\"2012/08/08\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/08/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/08?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2012/08/25\": {\"hobbies\": {\"eid\": \"e1297\", \"logical_representation\": [\"2012/08/25\", \"I really enjoyed working out on 2012/08/25\", \"working out\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I really enjoyed working out on 2012/08/25\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2012/08/25\"], [\"On 2012/08/25, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1648\", \"logical_representation\": [\"2012/08/25\", \"lunch\", \"tacos\", \"Emily, Carter\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/25\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1649\", \"logical_representation\": [\"2012/08/25\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/08/25?\", \"27 minutes\"], [\"what did I read on 2012/08/25?\", \"news\"], [\"Did I read on 2012/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/21\": {\"grocery\": {\"eid\": \"e1298\", \"logical_representation\": [\"2012/08/21\", \"I bought some oranges, orange juice, soda, conditioner, toothbrush, toilet paper, shampoo from the grocery store. I saw Carter at the grocery store.\", \"oranges\", \"orange juice, soda\", \"conditioner, toothbrush, toilet paper, shampoo\", \"Carter\"], \"text_template_based\": \"I bought some oranges, orange juice, soda, conditioner, toothbrush, toilet paper, shampoo from the grocery store. I saw Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/08/21?\", \"oranges, orange juice, soda, and conditioner, toothbrush, toilet paper, shampoo\"], [\"what fruits did I buy from the grocery store on 2012/08/21?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2012/08/21?\", \"orange juice, soda\"], [\"what toiletries did I buy from the grocery store on 2012/08/21?\", \"conditioner, toothbrush, toilet paper, shampoo\"], [\"who did I see at the grocery store on 2012/08/21?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1642\", \"logical_representation\": [\"2012/08/21\", \"lunch\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2012/08/29\": {\"grocery\": {\"eid\": \"e1299\", \"logical_representation\": [\"2012/08/29\", \"I bought some watermelons, chocolate milk, sports drinks, shampoo, mouthwash, mouth wash from the grocery store. I saw Emily, Carter, Kayden at the grocery store.\", \"watermelons\", \"chocolate milk, sports drinks\", \"shampoo, mouthwash, mouth wash\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I bought some watermelons, chocolate milk, sports drinks, shampoo, mouthwash, mouth wash from the grocery store. I saw Emily, Carter, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/08/29?\", \"watermelons, chocolate milk, sports drinks, and shampoo, mouthwash, mouth wash\"], [\"what fruits did I buy from the grocery store on 2012/08/29?\", \"watermelons\"], [\"what drinks did I buy from the grocery store on 2012/08/29?\", \"chocolate milk, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2012/08/29?\", \"shampoo, mouthwash, mouth wash\"], [\"who did I see at the grocery store on 2012/08/29?\", \"Emily, Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1653\", \"logical_representation\": [\"2012/08/29\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/08/29?\", \"25 minutes\"], [\"what did I read on 2012/08/29?\", \"a book\"], [\"Did I read on 2012/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/06\": {\"grocery\": {\"eid\": \"e1300\", \"logical_representation\": [\"2012/09/06\", \"I went grocery shopping with Piper, Kinsley. I bought some apples, peaches, pineapples, guava juice, milk, chocolate milk, and facial wash, mouthwash, toothpaste, body lotion\", \"apples, peaches, pineapples\", \"guava juice, milk, chocolate milk\", \"facial wash, mouthwash, toothpaste, body lotion\", \"Piper, Kinsley\"], \"text_template_based\": \"I went grocery shopping with Piper, Kinsley. I bought some apples, peaches, pineapples, guava juice, milk, chocolate milk, and facial wash, mouthwash, toothpaste, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/09/06?\", \"apples, peaches, pineapples, guava juice, milk, chocolate milk, and facial wash, mouthwash, toothpaste, body lotion\"], [\"what fruits did I buy from the grocery store on 2012/09/06?\", \"apples, peaches, pineapples\"], [\"what drinks did I buy from the grocery store on 2012/09/06?\", \"guava juice, milk, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2012/09/06?\", \"facial wash, mouthwash, toothpaste, body lotion\"], [\"who was with me at the grocery store on 2012/09/06?\", \"Piper, Kinsley\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1662\", \"logical_representation\": [\"2012/09/06\", \"breakfast\", \"pancakes\", \"Claire, Lydia, Nevaeh, Piper, Kinsley, Avery, Piper\"], \"text_template_based\": \"I had breakfast with Claire, Lydia, Nevaeh, Piper, Kinsley, Avery, Piper. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/09/06?\", \"Claire, Lydia, Nevaeh, Piper, Kinsley, Avery, Piper\"], [\"what did I eat for breakfast on 2012/09/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1663\", \"logical_representation\": [\"2012/09/06\", \"Rylee, Nevaeh, Piper\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh, Piper for 47 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Piper in the late afternoon on 2012/09/06?\", \"47 minutes\"], [\"who did I talk to on 2012/09/06?\", \"Rylee, Nevaeh, Piper\"], [\"Did I talk to Rylee, Nevaeh, Piper on 2012/09/06?\", \"yes\"], [\"Did I talk to anyone on 2012/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/27\": {\"hobbies\": {\"eid\": \"e1301\", \"logical_representation\": [\"2012/09/27\", \"I spent some time learning a language on 2012/09/27.\", \"learning a language\", \"Jackson\"], \"text_template_based\": \"I spent some time learning a language on 2012/09/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2012/09/27\"], [\"On 2012/09/27, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1699\", \"logical_representation\": [\"2012/09/27\", \"dinner\", \"chinese food\", \"Nevaeh\"], \"text_template_based\": \"I had chinese food for dinner with Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/09/27?\", \"Nevaeh\"], [\"what did I eat for dinner on 2012/09/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1700\", \"logical_representation\": [\"2012/09/27\", \"Eva\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early evening on 2012/09/27?\", \"51 minutes\"], [\"who did I talk to on 2012/09/27?\", \"Eva\"], [\"Did I talk to Eva on 2012/09/27?\", \"yes\"], [\"Did I talk to anyone on 2012/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/03\": {\"hobbies\": {\"eid\": \"e1302\", \"logical_representation\": [\"2012/10/03\", \"I spent some time gardening on 2012/10/03.\", \"gardening\", \"Olivia, Avery\"], \"text_template_based\": \"I spent some time gardening on 2012/10/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2012/10/03\"], [\"On 2012/10/03, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1716\", \"logical_representation\": [\"2012/10/03\", \"lunch\", \"pasta\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/10/03\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1717\", \"logical_representation\": [\"2012/10/03\", \"Piper\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Piper for 9 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2012/10/03?\", \"9 minutes\"], [\"who did I talk to on 2012/10/03?\", \"Piper\"], [\"Did I talk to Piper on 2012/10/03?\", \"yes\"], [\"Did I talk to anyone on 2012/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1718\", \"logical_representation\": [\"2012/10/03\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/10/03?\", \"8 minutes\"], [\"what did I read on 2012/10/03?\", \"news\"], [\"Did I read on 2012/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/11\": {\"dating\": {\"eid\": \"e1303\", \"logical_representation\": [\"2012/10/11\", \"Everleigh\", \"a restaurant\"], \"text_template_based\": \"On 2012/10/11, I took Everleigh on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/10/11\", \"Everleigh\"], [\"where did I go for the date on 2012/10/11\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1734\", \"logical_representation\": [\"2012/10/11\", \"running\"], \"text_template_based\": \"I did running on 2012/10/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1735\", \"logical_representation\": [\"2012/10/11\", \"dinner\", \"tacos\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/10/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1736\", \"logical_representation\": [\"2012/10/11\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/10/11?\", \"29 minutes\"], [\"what did I read on 2012/10/11?\", \"news\"], [\"Did I read on 2012/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1737\", \"logical_representation\": [\"2012/10/11\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/11?\", \"29 minutes\"], [\"what did I watch on tv on 2012/10/11?\", \"news\"], [\"Did I watch tv on 2012/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/07\": {\"grocery\": {\"eid\": \"e1304\", \"logical_representation\": [\"2012/10/07\", \"I went grocery shopping with Benjamin, Jackson, Willow, Avery. I bought some pears, apple juice, soda, pineapple juice, sports drinks, and toothbrush\", \"pears\", \"apple juice, soda, pineapple juice, sports drinks\", \"toothbrush\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I went grocery shopping with Benjamin, Jackson, Willow, Avery. I bought some pears, apple juice, soda, pineapple juice, sports drinks, and toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/10/07?\", \"pears, apple juice, soda, pineapple juice, sports drinks, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2012/10/07?\", \"pears\"], [\"what drinks did I buy from the grocery store on 2012/10/07?\", \"apple juice, soda, pineapple juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2012/10/07?\", \"toothbrush\"], [\"who was with me at the grocery store on 2012/10/07?\", \"Benjamin, Jackson, Willow, Avery\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1724\", \"logical_representation\": [\"2012/10/07\", \"lunch\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/10/07?\", \"Andrew\"], [\"what did I eat for lunch on 2012/10/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1725\", \"logical_representation\": [\"2012/10/07\", \"Piper, Piper\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Piper, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper in the late afternoon on 2012/10/07?\", \"41 minutes\"], [\"who did I talk to on 2012/10/07?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2012/10/07?\", \"yes\"], [\"Did I talk to anyone on 2012/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1726\", \"logical_representation\": [\"2012/10/07\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/07?\", \"43 minutes\"], [\"what did I watch on tv on 2012/10/07?\", \"a documentary\"], [\"Did I watch tv on 2012/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/17\": {\"dating\": {\"eid\": \"e1305\", \"logical_representation\": [\"2012/10/17\", \"Olivia\", \"a restaurant\"], \"text_template_based\": \"On 2012/10/17, I took Olivia on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/10/17\", \"Olivia\"], [\"where did I go for the date on 2012/10/17\", \"a restaurant\"]], \"multihop_qa_pairs\": []}}, \"2012/11/02\": {\"hobbies\": {\"eid\": \"e1306\", \"logical_representation\": [\"2012/11/02\", \"I spent some time meditation on 2012/11/02.\", \"meditation\", \"Kayden, Emily\"], \"text_template_based\": \"I spent some time meditation on 2012/11/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2012/11/02\"], [\"On 2012/11/02, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1307\", \"logical_representation\": [\"2012/11/02\", \"I bought some mandarins, guava, raspberries, pineapples, coffee, pineapple juice, sports drinks, facial wash online.\", \"mandarins, guava, raspberries, pineapples\", \"coffee, pineapple juice, sports drinks\", \"facial wash\", \"Nevaeh\"], \"text_template_based\": \"I bought some mandarins, guava, raspberries, pineapples, coffee, pineapple juice, sports drinks, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/11/02?\", \"mandarins, guava, raspberries, pineapples, coffee, pineapple juice, sports drinks, and facial wash\"], [\"what fruits did I buy online on 2012/11/02?\", \"mandarins, guava, raspberries, pineapples\"], [\"what drinks did I buy online on 2012/11/02?\", \"coffee, pineapple juice, sports drinks\"], [\"what toiletries did I buy online on 2012/11/02?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1768\", \"logical_representation\": [\"2012/11/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/11/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1769\", \"logical_representation\": [\"2012/11/02\", \"Olivia\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Olivia for 48 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the late afternoon on 2012/11/02?\", \"48 minutes\"], [\"who did I talk to on 2012/11/02?\", \"Olivia\"], [\"Did I talk to Olivia on 2012/11/02?\", \"yes\"], [\"Did I talk to anyone on 2012/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/18\": {\"grocery\": {\"eid\": \"e1308\", \"logical_representation\": [\"2012/11/18\", \"I went grocery shopping. I bought some apples, oranges, pineapple juice, mango juice, orange juice, chocolate milk, and mouth wash, mouthwash, facial wash\", \"apples, oranges\", \"pineapple juice, mango juice, orange juice, chocolate milk\", \"mouth wash, mouthwash, facial wash\", \"Hazel, Rylee, Nevaeh, Eva\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, oranges, pineapple juice, mango juice, orange juice, chocolate milk, and mouth wash, mouthwash, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/11/18?\", \"apples, oranges, pineapple juice, mango juice, orange juice, chocolate milk, and mouth wash, mouthwash, facial wash\"], [\"what fruits did I buy from the grocery store on 2012/11/18?\", \"apples, oranges\"], [\"what drinks did I buy from the grocery store on 2012/11/18?\", \"pineapple juice, mango juice, orange juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2012/11/18?\", \"mouth wash, mouthwash, facial wash\"]], \"multihop_qa_pairs\": []}}, \"2012/11/24\": {\"grocery\": {\"eid\": \"e1309\", \"logical_representation\": [\"2012/11/24\", \"I bought some strawberries, sports drinks, coffee, apple juice, pineapple juice, body lotion, toothbrush, mouth wash, mouthwash online.\", \"strawberries\", \"sports drinks, coffee, apple juice, pineapple juice\", \"body lotion, toothbrush, mouth wash, mouthwash\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I bought some strawberries, sports drinks, coffee, apple juice, pineapple juice, body lotion, toothbrush, mouth wash, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/11/24?\", \"strawberries, sports drinks, coffee, apple juice, pineapple juice, and body lotion, toothbrush, mouth wash, mouthwash\"], [\"what fruits did I buy online on 2012/11/24?\", \"strawberries\"], [\"what drinks did I buy online on 2012/11/24?\", \"sports drinks, coffee, apple juice, pineapple juice\"], [\"what toiletries did I buy online on 2012/11/24?\", \"body lotion, toothbrush, mouth wash, mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e1801\", \"logical_representation\": [\"2012/11/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/11/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1802\", \"logical_representation\": [\"2012/11/24\", \"breakfast\", \"toast and cheese\", \"Avery\"], \"text_template_based\": \"I had toast and cheese for breakfast with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/11/24?\", \"Avery\"], [\"what did I eat for breakfast on 2012/11/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1803\", \"logical_representation\": [\"2012/11/24\", \"dinner\", \"tacos\", \"Eva\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1804\", \"logical_representation\": [\"2012/11/24\", \"Avery, Piper\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Avery, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the morning on 2012/11/24?\", \"54 minutes\"], [\"who did I talk to on 2012/11/24?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2012/11/24?\", \"yes\"], [\"Did I talk to anyone on 2012/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1805\", \"logical_representation\": [\"2012/11/24\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I watched a tv series for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/24?\", \"34 minutes\"], [\"what did I watch on tv on 2012/11/24?\", \"a tv series\"], [\"Did I watch tv on 2012/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/30\": {\"dating\": {\"eid\": \"e1310\", \"logical_representation\": [\"2012/11/30\", \"Ethan\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Ethan on 2012/11/30 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/11/30\", \"Ethan\"], [\"where did I go for the date on 2012/11/30\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1311\", \"logical_representation\": [\"2012/11/30\", \"I bought some cherres, pears, coffee, mineral water, mango juice, apple juice, toothbrush, paper towel, facial wash, mouthwash from the grocery store. I saw Carter, Andrew, Kayden at the grocery store.\", \"cherres, pears\", \"coffee, mineral water, mango juice, apple juice\", \"toothbrush, paper towel, facial wash, mouthwash\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I bought some cherres, pears, coffee, mineral water, mango juice, apple juice, toothbrush, paper towel, facial wash, mouthwash from the grocery store. I saw Carter, Andrew, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/11/30?\", \"cherres, pears, coffee, mineral water, mango juice, apple juice, and toothbrush, paper towel, facial wash, mouthwash\"], [\"what fruits did I buy from the grocery store on 2012/11/30?\", \"cherres, pears\"], [\"what drinks did I buy from the grocery store on 2012/11/30?\", \"coffee, mineral water, mango juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2012/11/30?\", \"toothbrush, paper towel, facial wash, mouthwash\"], [\"who did I see at the grocery store on 2012/11/30?\", \"Carter, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1814\", \"logical_representation\": [\"2012/11/30\", \"Layla, Piper\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I talked to Layla, Piper for 43 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper late in the evening on 2012/11/30?\", \"43 minutes\"], [\"who did I talk to on 2012/11/30?\", \"Layla, Piper\"], [\"Did I talk to Layla, Piper on 2012/11/30?\", \"yes\"], [\"Did I talk to anyone on 2012/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1815\", \"logical_representation\": [\"2012/11/30\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/11/30?\", \"31 minutes\"], [\"what did I read on 2012/11/30?\", \"social media\"], [\"Did I read on 2012/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/07\": {\"hobbies\": {\"eid\": \"e1312\", \"logical_representation\": [\"2012/12/07\", \"I spent some time learning a language on 2012/12/07.\", \"learning a language\", \"Avery, Benjamin\"], \"text_template_based\": \"I spent some time learning a language on 2012/12/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2012/12/07\"], [\"On 2012/12/07, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}}, \"2012/12/11\": {\"hobbies\": {\"eid\": \"e1313\", \"logical_representation\": [\"2012/12/11\", \"I spent some time learning a language on 2012/12/11.\", \"learning a language\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I spent some time learning a language on 2012/12/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2012/12/11\"], [\"On 2012/12/11, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1828\", \"logical_representation\": [\"2012/12/11\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had tacos for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/12/11?\", \"Andrew\"], [\"what did I eat for dinner on 2012/12/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1829\", \"logical_representation\": [\"2012/12/11\", \"Claire, Kinsley, Hazel\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Claire, Kinsley, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Hazel in the late afternoon on 2012/12/11?\", \"55 minutes\"], [\"who did I talk to on 2012/12/11?\", \"Claire, Kinsley, Hazel\"], [\"Did I talk to Claire, Kinsley, Hazel on 2012/12/11?\", \"yes\"], [\"Did I talk to anyone on 2012/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/19\": {\"dating\": {\"eid\": \"e1314\", \"logical_representation\": [\"2012/12/19\", \"Hunter\", \"a park\"], \"text_template_based\": \"I went on a date with Hunter on 2012/12/19 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2012/12/19\", \"Hunter\"], [\"where did I go for the date on 2012/12/19\", \"a park\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1847\", \"logical_representation\": [\"2012/12/19\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/12/19?\", \"5 minutes\"], [\"what did I read on 2012/12/19?\", \"news\"], [\"Did I read on 2012/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/20\": {\"grocery\": {\"eid\": \"e1315\", \"logical_representation\": [\"2012/12/20\", \"I went grocery shopping with Carter. I bought some pineapples, mandarins, clementines, coffee, and paper towel\", \"pineapples, mandarins, clementines\", \"coffee\", \"paper towel\", \"Carter\"], \"text_template_based\": \"I went grocery shopping with Carter. I bought some pineapples, mandarins, clementines, coffee, and paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2012/12/20?\", \"pineapples, mandarins, clementines, coffee, and paper towel\"], [\"what fruits did I buy from the grocery store on 2012/12/20?\", \"pineapples, mandarins, clementines\"], [\"what drinks did I buy from the grocery store on 2012/12/20?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2012/12/20?\", \"paper towel\"], [\"who was with me at the grocery store on 2012/12/20?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1848\", \"logical_representation\": [\"2012/12/20\", \"Lydia, Eva, Layla, Nevaeh\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Lydia, Eva, Layla, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Layla, Nevaeh in the morning on 2012/12/20?\", \"39 minutes\"], [\"who did I talk to on 2012/12/20?\", \"Lydia, Eva, Layla, Nevaeh\"], [\"Did I talk to Lydia, Eva, Layla, Nevaeh on 2012/12/20?\", \"yes\"], [\"Did I talk to anyone on 2012/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/29\": {\"grocery\": {\"eid\": \"e1316\", \"logical_representation\": [\"2012/12/29\", \"I bought some blackberries, mandarins, pineapples, blueberries, mineral water, body lotion online.\", \"blackberries, mandarins, pineapples, blueberries\", \"mineral water\", \"body lotion\", \"Carter\"], \"text_template_based\": \"I bought some blackberries, mandarins, pineapples, blueberries, mineral water, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2012/12/29?\", \"blackberries, mandarins, pineapples, blueberries, mineral water, and body lotion\"], [\"what fruits did I buy online on 2012/12/29?\", \"blackberries, mandarins, pineapples, blueberries\"], [\"what drinks did I buy online on 2012/12/29?\", \"mineral water\"], [\"what toiletries did I buy online on 2012/12/29?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1859\", \"logical_representation\": [\"2012/12/29\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1860\", \"logical_representation\": [\"2012/12/29\", \"Piper, Kinsley, Avery, Lydia\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Piper, Kinsley, Avery, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Avery, Lydia late in the evening on 2012/12/29?\", \"9 minutes\"], [\"who did I talk to on 2012/12/29?\", \"Piper, Kinsley, Avery, Lydia\"], [\"Did I talk to Piper, Kinsley, Avery, Lydia on 2012/12/29?\", \"yes\"], [\"Did I talk to anyone on 2012/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1861\", \"logical_representation\": [\"2012/12/29\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/29?\", \"34 minutes\"], [\"what did I watch on tv on 2012/12/29?\", \"news\"], [\"Did I watch tv on 2012/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/03\": {\"exercise\": {\"eid\": \"e1317\", \"logical_representation\": [\"2012/01/03\", \"running\"], \"text_template_based\": \"I did running on 2012/01/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/01/03?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2012/01/05\": {\"dinner\": {\"eid\": \"e1318\", \"logical_representation\": [\"2012/01/05\", \"dinner\", \"sushi\", \"Nevaeh, Piper, Olivia, Claire, Rylee, Kinsley, Piper, Lydia\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/01/05\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2012/01/06\": {\"breakfast\": {\"eid\": \"e1319\", \"logical_representation\": [\"2012/01/06\", \"breakfast\", \"oatmeal\", \"Rylee, Nevaeh, Nora, Hazel, Olivia, Claire, Layla, Piper\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/01/06\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1320\", \"logical_representation\": [\"2012/01/06\", \"lunch\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2012/01/08\": {\"lunch\": {\"eid\": \"e1321\", \"logical_representation\": [\"2012/01/08\", \"lunch\", \"tacos\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1322\", \"logical_representation\": [\"2012/01/08\", \"Nevaeh, Avery\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Nevaeh, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery during lunch hours on 2012/01/08?\", \"42 minutes\"], [\"who did I talk to on 2012/01/08?\", \"Nevaeh, Avery\"], [\"Did I talk to Nevaeh, Avery on 2012/01/08?\", \"yes\"], [\"Did I talk to anyone on 2012/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/10\": {\"read\": {\"eid\": \"e1323\", \"logical_representation\": [\"2012/01/10\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/01/10?\", \"27 minutes\"], [\"what did I read on 2012/01/10?\", \"news\"], [\"Did I read on 2012/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/11\": {\"breakfast\": {\"eid\": \"e1324\", \"logical_representation\": [\"2012/01/11\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/01/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2012/01/12\": {\"breakfast\": {\"eid\": \"e1325\", \"logical_representation\": [\"2012/01/12\", \"breakfast\", \"cereals\", \"Avery, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/01/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1326\", \"logical_representation\": [\"2012/01/12\", \"Rylee\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I talked to Rylee for 44 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2012/01/12?\", \"44 minutes\"], [\"who did I talk to on 2012/01/12?\", \"Rylee\"], [\"Did I talk to Rylee on 2012/01/12?\", \"yes\"], [\"Did I talk to anyone on 2012/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/14\": {\"dinner\": {\"eid\": \"e1327\", \"logical_representation\": [\"2012/01/14\", \"dinner\", \"sandwich\", \"Claire, Rylee, Piper, Avery, Eva, Hazel, Lydia, Nevaeh, Layla, Piper\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/01/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1328\", \"logical_representation\": [\"2012/01/14\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/01/14?\", \"26 minutes\"], [\"what did I read on 2012/01/14?\", \"a book\"], [\"Did I read on 2012/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/15\": {\"lunch\": {\"eid\": \"e1329\", \"logical_representation\": [\"2012/01/15\", \"lunch\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/15\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2012/01/16\": {\"lunch\": {\"eid\": \"e1330\", \"logical_representation\": [\"2012/01/16\", \"lunch\", \"chinese food\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/01/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2012/01/17\": {\"dinner\": {\"eid\": \"e1331\", \"logical_representation\": [\"2012/01/17\", \"dinner\", \"sandwich\", \"Rylee\"], \"text_template_based\": \"I had dinner with Rylee. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/01/17?\", \"Rylee\"], [\"what did I eat for dinner on 2012/01/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2012/01/19\": {\"dinner\": {\"eid\": \"e1332\", \"logical_representation\": [\"2012/01/19\", \"dinner\", \"sandwich\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/01/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2012/01/21\": {\"watch tv\": {\"eid\": \"e1333\", \"logical_representation\": [\"2012/01/21\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I watched a tv series for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/01/21?\", \"35 minutes\"], [\"what did I watch on tv on 2012/01/21?\", \"a tv series\"], [\"Did I watch tv on 2012/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/25\": {\"watch tv\": {\"eid\": \"e1337\", \"logical_representation\": [\"2012/01/25\", \"a movie\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/01/25?\", \"44 minutes\"], [\"what did I watch on tv on 2012/01/25?\", \"a movie\"], [\"Did I watch tv on 2012/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/27\": {\"breakfast\": {\"eid\": \"e1340\", \"logical_representation\": [\"2012/01/27\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/01/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1341\", \"logical_representation\": [\"2012/01/27\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/01/27?\", \"38 minutes\"], [\"what did I read on 2012/01/27?\", \"a book\"], [\"Did I read on 2012/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/01/28\": {\"lunch\": {\"eid\": \"e1342\", \"logical_representation\": [\"2012/01/28\", \"lunch\", \"steak\", \"Lydia, Nora, Piper, Rylee, Kinsley, Hazel, Layla\"], \"text_template_based\": \"I had lunch with Lydia, Nora, Piper, Rylee, Kinsley, Hazel, Layla. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/01/28?\", \"Lydia, Nora, Piper, Rylee, Kinsley, Hazel, Layla\"], [\"what did I eat for lunch on 2012/01/28\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2012/01/31\": {\"breakfast\": {\"eid\": \"e1343\", \"logical_representation\": [\"2012/01/31\", \"breakfast\", \"oatmeal\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/01/31\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1344\", \"logical_representation\": [\"2012/01/31\", \"Hazel, Nevaeh\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Hazel, Nevaeh for 5 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh late in the evening on 2012/01/31?\", \"5 minutes\"], [\"who did I talk to on 2012/01/31?\", \"Hazel, Nevaeh\"], [\"Did I talk to Hazel, Nevaeh on 2012/01/31?\", \"yes\"], [\"Did I talk to anyone on 2012/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1345\", \"logical_representation\": [\"2012/01/31\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/01/31?\", \"11 minutes\"], [\"what did I read on 2012/01/31?\", \"a book\"], [\"Did I read on 2012/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/02\": {\"dinner\": {\"eid\": \"e1346\", \"logical_representation\": [\"2012/02/02\", \"dinner\", \"tacos\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had tacos for dinner with Avery, Benjamin, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/02/02?\", \"Avery, Benjamin, Willow, Jackson\"], [\"what did I eat for dinner on 2012/02/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1347\", \"logical_representation\": [\"2012/02/02\", \"Rylee, Eva, Kinsley\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Rylee, Eva, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Kinsley during lunch hours on 2012/02/02?\", \"33 minutes\"], [\"who did I talk to on 2012/02/02?\", \"Rylee, Eva, Kinsley\"], [\"Did I talk to Rylee, Eva, Kinsley on 2012/02/02?\", \"yes\"], [\"Did I talk to anyone on 2012/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1348\", \"logical_representation\": [\"2012/02/02\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/02/02?\", \"29 minutes\"], [\"what did I read on 2012/02/02?\", \"news\"], [\"Did I read on 2012/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/04\": {\"exercise\": {\"eid\": \"e1349\", \"logical_representation\": [\"2012/02/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/02/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2012/02/05\": {\"read\": {\"eid\": \"e1350\", \"logical_representation\": [\"2012/02/05\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/02/05?\", \"29 minutes\"], [\"what did I read on 2012/02/05?\", \"news\"], [\"Did I read on 2012/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/07\": {\"lunch\": {\"eid\": \"e1352\", \"logical_representation\": [\"2012/02/07\", \"lunch\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/02/07?\", \"Emily\"], [\"what did I eat for lunch on 2012/02/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1353\", \"logical_representation\": [\"2012/02/07\", \"Eva, Kinsley\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Eva, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley during lunch hours on 2012/02/07?\", \"37 minutes\"], [\"who did I talk to on 2012/02/07?\", \"Eva, Kinsley\"], [\"Did I talk to Eva, Kinsley on 2012/02/07?\", \"yes\"], [\"Did I talk to anyone on 2012/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/08\": {\"chat0\": {\"eid\": \"e1354\", \"logical_representation\": [\"2012/02/08\", \"Nevaeh, Olivia, Piper\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nevaeh, Olivia, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Piper in the early evening on 2012/02/08?\", \"29 minutes\"], [\"who did I talk to on 2012/02/08?\", \"Nevaeh, Olivia, Piper\"], [\"Did I talk to Nevaeh, Olivia, Piper on 2012/02/08?\", \"yes\"], [\"Did I talk to anyone on 2012/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/09\": {\"lunch\": {\"eid\": \"e1355\", \"logical_representation\": [\"2012/02/09\", \"lunch\", \"indian food\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/02/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1356\", \"logical_representation\": [\"2012/02/09\", \"Piper, Lydia, Avery, Nora\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Avery, Nora for 35 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Avery, Nora in the early evening on 2012/02/09?\", \"35 minutes\"], [\"who did I talk to on 2012/02/09?\", \"Piper, Lydia, Avery, Nora\"], [\"Did I talk to Piper, Lydia, Avery, Nora on 2012/02/09?\", \"yes\"], [\"Did I talk to anyone on 2012/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/10\": {\"breakfast\": {\"eid\": \"e1357\", \"logical_representation\": [\"2012/02/10\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Rylee, Lydia\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Layla, Rylee, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/02/10?\", \"Layla, Rylee, Lydia\"], [\"what did I eat for breakfast on 2012/02/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1358\", \"logical_representation\": [\"2012/02/10\", \"lunch\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/02/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1359\", \"logical_representation\": [\"2012/02/10\", \"a book\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/02/10?\", \"40 minutes\"], [\"what did I read on 2012/02/10?\", \"a book\"], [\"Did I read on 2012/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/12\": {\"exercise\": {\"eid\": \"e1360\", \"logical_representation\": [\"2012/02/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/02/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1361\", \"logical_representation\": [\"2012/02/12\", \"breakfast\", \"oatmeal\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had breakfast with Benjamin, Avery, Willow, Jackson. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/02/12?\", \"Benjamin, Avery, Willow, Jackson\"], [\"what did I eat for breakfast on 2012/02/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1362\", \"logical_representation\": [\"2012/02/12\", \"a tv series\", \"14 minutes\"], \"text_template_based\": \"I watched a tv series for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/12?\", \"14 minutes\"], [\"what did I watch on tv on 2012/02/12?\", \"a tv series\"], [\"Did I watch tv on 2012/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/13\": {\"lunch\": {\"eid\": \"e1363\", \"logical_representation\": [\"2012/02/13\", \"lunch\", \"indian food\", \"Hazel, Claire, Lydia, Eva, Piper, Nevaeh, Avery, Rylee, Kinsley, Piper, Nora, Layla, Olivia\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/02/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1364\", \"logical_representation\": [\"2012/02/13\", \"Lydia, Nevaeh, Piper\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Lydia, Nevaeh, Piper for 47 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Piper in the late afternoon on 2012/02/13?\", \"47 minutes\"], [\"who did I talk to on 2012/02/13?\", \"Lydia, Nevaeh, Piper\"], [\"Did I talk to Lydia, Nevaeh, Piper on 2012/02/13?\", \"yes\"], [\"Did I talk to anyone on 2012/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/16\": {\"exercise\": {\"eid\": \"e1367\", \"logical_representation\": [\"2012/02/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/02/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1368\", \"logical_representation\": [\"2012/02/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/02/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1369\", \"logical_representation\": [\"2012/02/16\", \"dinner\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had sandwich for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/02/16?\", \"Emily\"], [\"what did I eat for dinner on 2012/02/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2012/02/17\": {\"exercise\": {\"eid\": \"e1370\", \"logical_representation\": [\"2012/02/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/02/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1371\", \"logical_representation\": [\"2012/02/17\", \"breakfast\", \"oatmeal\", \"Benjamin, Avery\"], \"text_template_based\": \"I had breakfast with Benjamin, Avery. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/02/17?\", \"Benjamin, Avery\"], [\"what did I eat for breakfast on 2012/02/17\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1372\", \"logical_representation\": [\"2012/02/17\", \"dinner\", \"steak\", \"Piper, Nora, Layla\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/02/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1373\", \"logical_representation\": [\"2012/02/17\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/17?\", \"36 minutes\"], [\"what did I watch on tv on 2012/02/17?\", \"news\"], [\"Did I watch tv on 2012/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/21\": {\"lunch\": {\"eid\": \"e1375\", \"logical_representation\": [\"2012/02/21\", \"lunch\", \"pasta\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/02/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1376\", \"logical_representation\": [\"2012/02/21\", \"dinner\", \"pasta\", \"Nora\"], \"text_template_based\": \"I had dinner with Nora. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/02/21?\", \"Nora\"], [\"what did I eat for dinner on 2012/02/21\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2012/02/23\": {\"lunch\": {\"eid\": \"e1377\", \"logical_representation\": [\"2012/02/23\", \"lunch\", \"tacos\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/02/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1378\", \"logical_representation\": [\"2012/02/23\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/23?\", \"47 minutes\"], [\"what did I watch on tv on 2012/02/23?\", \"a tv series\"], [\"Did I watch tv on 2012/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/25\": {\"watch tv\": {\"eid\": \"e1379\", \"logical_representation\": [\"2012/02/25\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/02/25?\", \"6 minutes\"], [\"what did I watch on tv on 2012/02/25?\", \"a movie\"], [\"Did I watch tv on 2012/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/02/26\": {\"lunch\": {\"eid\": \"e1380\", \"logical_representation\": [\"2012/02/26\", \"lunch\", \"a burger\", \"Carter\"], \"text_template_based\": \"I had a burger for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/02/26?\", \"Carter\"], [\"what did I eat for lunch on 2012/02/26\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2012/02/28\": {\"exercise\": {\"eid\": \"e1381\", \"logical_representation\": [\"2012/02/28\", \"running\"], \"text_template_based\": \"I did running on 2012/02/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/02/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1382\", \"logical_representation\": [\"2012/02/28\", \"social media\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/02/28?\", \"41 minutes\"], [\"what did I read on 2012/02/28?\", \"social media\"], [\"Did I read on 2012/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/12\": {\"breakfast\": {\"eid\": \"e1397\", \"logical_representation\": [\"2012/03/12\", \"breakfast\", \"peanut-butter-jam\", \"Olivia, Rylee, Piper\"], \"text_template_based\": \"I had breakfast with Olivia, Rylee, Piper. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/03/12?\", \"Olivia, Rylee, Piper\"], [\"what did I eat for breakfast on 2012/03/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1398\", \"logical_representation\": [\"2012/03/12\", \"lunch\", \"steak\", \"Emily\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/03/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1399\", \"logical_representation\": [\"2012/03/12\", \"Hazel, Piper, Kinsley, Avery\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Kinsley, Avery for 14 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Kinsley, Avery in the morning on 2012/03/12?\", \"14 minutes\"], [\"who did I talk to on 2012/03/12?\", \"Hazel, Piper, Kinsley, Avery\"], [\"Did I talk to Hazel, Piper, Kinsley, Avery on 2012/03/12?\", \"yes\"], [\"Did I talk to anyone on 2012/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/14\": {\"chat0\": {\"eid\": \"e1401\", \"logical_representation\": [\"2012/03/14\", \"Piper, Lydia, Olivia, Hazel\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Piper, Lydia, Olivia, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Olivia, Hazel in the morning on 2012/03/14?\", \"26 minutes\"], [\"who did I talk to on 2012/03/14?\", \"Piper, Lydia, Olivia, Hazel\"], [\"Did I talk to Piper, Lydia, Olivia, Hazel on 2012/03/14?\", \"yes\"], [\"Did I talk to anyone on 2012/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/19\": {\"exercise\": {\"eid\": \"e1408\", \"logical_representation\": [\"2012/03/19\", \"running\"], \"text_template_based\": \"I did running on 2012/03/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1409\", \"logical_representation\": [\"2012/03/19\", \"dinner\", \"a burger\", \"Nora, Eva, Hazel, Claire, Rylee, Layla, Lydia, Avery, Piper\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/19\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2012/03/20\": {\"chat0\": {\"eid\": \"e1410\", \"logical_representation\": [\"2012/03/20\", \"Olivia, Nora, Lydia, Kinsley\", \"in the morning\", \"53 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora, Lydia, Kinsley for 53 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Lydia, Kinsley in the morning on 2012/03/20?\", \"53 minutes\"], [\"who did I talk to on 2012/03/20?\", \"Olivia, Nora, Lydia, Kinsley\"], [\"Did I talk to Olivia, Nora, Lydia, Kinsley on 2012/03/20?\", \"yes\"], [\"Did I talk to anyone on 2012/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/21\": {\"exercise\": {\"eid\": \"e1411\", \"logical_representation\": [\"2012/03/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/03/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1412\", \"logical_representation\": [\"2012/03/21\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/03/21?\", \"50 minutes\"], [\"what did I read on 2012/03/21?\", \"a book\"], [\"Did I read on 2012/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/22\": {\"exercise\": {\"eid\": \"e1413\", \"logical_representation\": [\"2012/03/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/03/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1414\", \"logical_representation\": [\"2012/03/22\", \"dinner\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1415\", \"logical_representation\": [\"2012/03/22\", \"a documentary\", \"45 minutes\"], \"text_template_based\": \"I watched a documentary for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/03/22?\", \"45 minutes\"], [\"what did I watch on tv on 2012/03/22?\", \"a documentary\"], [\"Did I watch tv on 2012/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/23\": {\"exercise\": {\"eid\": \"e1416\", \"logical_representation\": [\"2012/03/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/03/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1417\", \"logical_representation\": [\"2012/03/23\", \"lunch\", \"sushi\", \"Avery, Kinsley, Eva, Piper, Lydia, Claire, Nevaeh, Hazel, Rylee, Olivia\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/03/23\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2012/03/25\": {\"exercise\": {\"eid\": \"e1419\", \"logical_representation\": [\"2012/03/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/03/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/03/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2012/03/26\": {\"dinner\": {\"eid\": \"e1420\", \"logical_representation\": [\"2012/03/26\", \"dinner\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1421\", \"logical_representation\": [\"2012/03/26\", \"Rylee, Piper\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Rylee, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper in the early afternoon on 2012/03/26?\", \"9 minutes\"], [\"who did I talk to on 2012/03/26?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2012/03/26?\", \"yes\"], [\"Did I talk to anyone on 2012/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/03/28\": {\"lunch\": {\"eid\": \"e1422\", \"logical_representation\": [\"2012/03/28\", \"lunch\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had sandwich for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/03/28?\", \"Emily\"], [\"what did I eat for lunch on 2012/03/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2012/03/29\": {\"lunch\": {\"eid\": \"e1423\", \"logical_representation\": [\"2012/03/29\", \"lunch\", \"tacos\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/03/29?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2012/03/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1424\", \"logical_representation\": [\"2012/03/29\", \"dinner\", \"chinese food\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/03/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2012/03/30\": {\"breakfast\": {\"eid\": \"e1425\", \"logical_representation\": [\"2012/03/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Rylee, Eva, Avery, Nora\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/03/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2012/04/01\": {\"exercise\": {\"eid\": \"e1426\", \"logical_representation\": [\"2012/04/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/04/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2012/04/02\": {\"exercise\": {\"eid\": \"e1427\", \"logical_representation\": [\"2012/04/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/04/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2012/04/07\": {\"lunch\": {\"eid\": \"e1431\", \"logical_representation\": [\"2012/04/07\", \"lunch\", \"steak\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Kayden, Emily, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/04/07?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2012/04/07\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2012/04/08\": {\"dinner\": {\"eid\": \"e1432\", \"logical_representation\": [\"2012/04/08\", \"dinner\", \"indian food\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/08\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2012/04/11\": {\"lunch\": {\"eid\": \"e1439\", \"logical_representation\": [\"2012/04/11\", \"lunch\", \"indian food\", \"Nevaeh, Hazel, Kinsley, Piper, Olivia\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/04/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1440\", \"logical_representation\": [\"2012/04/11\", \"Piper, Hazel\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Piper, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel in the early evening on 2012/04/11?\", \"12 minutes\"], [\"who did I talk to on 2012/04/11?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2012/04/11?\", \"yes\"], [\"Did I talk to anyone on 2012/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/12\": {\"exercise\": {\"eid\": \"e1441\", \"logical_representation\": [\"2012/04/12\", \"running\"], \"text_template_based\": \"I did running on 2012/04/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/12?\", \"running\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1442\", \"logical_representation\": [\"2012/04/12\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I watched a documentary for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/12?\", \"42 minutes\"], [\"what did I watch on tv on 2012/04/12?\", \"a documentary\"], [\"Did I watch tv on 2012/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/13\": {\"dinner\": {\"eid\": \"e1443\", \"logical_representation\": [\"2012/04/13\", \"dinner\", \"sushi\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1444\", \"logical_representation\": [\"2012/04/13\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/13?\", \"13 minutes\"], [\"what did I watch on tv on 2012/04/13?\", \"news\"], [\"Did I watch tv on 2012/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/14\": {\"lunch\": {\"eid\": \"e1445\", \"logical_representation\": [\"2012/04/14\", \"lunch\", \"sushi\", \"Carter, Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/04/14\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2012/04/15\": {\"exercise\": {\"eid\": \"e1446\", \"logical_representation\": [\"2012/04/15\", \"running\"], \"text_template_based\": \"I did running on 2012/04/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1447\", \"logical_representation\": [\"2012/04/15\", \"Lydia\", \"late in the evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Lydia for 50 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2012/04/15?\", \"50 minutes\"], [\"who did I talk to on 2012/04/15?\", \"Lydia\"], [\"Did I talk to Lydia on 2012/04/15?\", \"yes\"], [\"Did I talk to anyone on 2012/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/18\": {\"chat0\": {\"eid\": \"e1449\", \"logical_representation\": [\"2012/04/18\", \"Layla, Eva, Nevaeh\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Layla, Eva, Nevaeh for 40 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Nevaeh in the early afternoon on 2012/04/18?\", \"40 minutes\"], [\"who did I talk to on 2012/04/18?\", \"Layla, Eva, Nevaeh\"], [\"Did I talk to Layla, Eva, Nevaeh on 2012/04/18?\", \"yes\"], [\"Did I talk to anyone on 2012/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/19\": {\"lunch\": {\"eid\": \"e1450\", \"logical_representation\": [\"2012/04/19\", \"lunch\", \"fish and chips\", \"Benjamin, Willow\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/04/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1451\", \"logical_representation\": [\"2012/04/19\", \"dinner\", \"steak\", \"Piper, Olivia, Kinsley, Nora, Lydia, Avery, Hazel, Rylee\"], \"text_template_based\": \"I had dinner with Piper, Olivia, Kinsley, Nora, Lydia, Avery, Hazel, Rylee. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/19?\", \"Piper, Olivia, Kinsley, Nora, Lydia, Avery, Hazel, Rylee\"], [\"what did I eat for dinner on 2012/04/19\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2012/04/20\": {\"exercise\": {\"eid\": \"e1452\", \"logical_representation\": [\"2012/04/20\", \"biking\"], \"text_template_based\": \"I did biking on 2012/04/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1453\", \"logical_representation\": [\"2012/04/20\", \"dinner\", \"indian food\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/20\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2012/04/21\": {\"breakfast\": {\"eid\": \"e1454\", \"logical_representation\": [\"2012/04/21\", \"breakfast\", \"cereals\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/04/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1455\", \"logical_representation\": [\"2012/04/21\", \"dinner\", \"a burger\", \"Piper, Eva, Layla, Claire, Kinsley, Avery, Hazel, Piper, Nevaeh, Rylee, Nora\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/21\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2012/04/22\": {\"dinner\": {\"eid\": \"e1456\", \"logical_representation\": [\"2012/04/22\", \"dinner\", \"sushi\", \"Carter, Emily\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/22\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2012/04/23\": {\"exercise\": {\"eid\": \"e1457\", \"logical_representation\": [\"2012/04/23\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/04/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/04/23?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1458\", \"logical_representation\": [\"2012/04/23\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/04/23?\", \"49 minutes\"], [\"what did I read on 2012/04/23?\", \"news\"], [\"Did I read on 2012/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/24\": {\"lunch\": {\"eid\": \"e1459\", \"logical_representation\": [\"2012/04/24\", \"lunch\", \"fish and chips\", \"Rylee, Olivia, Nora, Piper, Layla, Piper, Claire, Kinsley, Nevaeh, Lydia\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/04/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1460\", \"logical_representation\": [\"2012/04/24\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had sandwich for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/04/24?\", \"Kayden\"], [\"what did I eat for dinner on 2012/04/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1461\", \"logical_representation\": [\"2012/04/24\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/04/24?\", \"25 minutes\"], [\"what did I read on 2012/04/24?\", \"a book\"], [\"Did I read on 2012/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1462\", \"logical_representation\": [\"2012/04/24\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/24?\", \"23 minutes\"], [\"what did I watch on tv on 2012/04/24?\", \"a movie\"], [\"Did I watch tv on 2012/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/25\": {\"social media\": {\"eid\": \"e1463\", \"logical_representation\": [\"2012/04/25\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/04/25?\", \"10 minutes\"], [\"what did I read on 2012/04/25?\", \"social media\"], [\"Did I read on 2012/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1464\", \"logical_representation\": [\"2012/04/25\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/25?\", \"6 minutes\"], [\"what did I watch on tv on 2012/04/25?\", \"a movie\"], [\"Did I watch tv on 2012/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/27\": {\"social media\": {\"eid\": \"e1465\", \"logical_representation\": [\"2012/04/27\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/04/27?\", \"55 minutes\"], [\"what did I read on 2012/04/27?\", \"social media\"], [\"Did I read on 2012/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1466\", \"logical_representation\": [\"2012/04/27\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/04/27?\", \"14 minutes\"], [\"what did I watch on tv on 2012/04/27?\", \"a movie\"], [\"Did I watch tv on 2012/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/04/29\": {\"dinner\": {\"eid\": \"e1469\", \"logical_representation\": [\"2012/04/29\", \"dinner\", \"a burger\", \"Benjamin, Jackson\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/04/29\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2012/04/30\": {\"social media\": {\"eid\": \"e1470\", \"logical_representation\": [\"2012/04/30\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/04/30?\", \"36 minutes\"], [\"what did I read on 2012/04/30?\", \"social media\"], [\"Did I read on 2012/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/01\": {\"breakfast\": {\"eid\": \"e1471\", \"logical_representation\": [\"2012/05/01\", \"breakfast\", \"pancakes\", \"Layla, Eva, Piper, Avery\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/05/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1472\", \"logical_representation\": [\"2012/05/01\", \"Hazel\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2012/05/01?\", \"9 minutes\"], [\"who did I talk to on 2012/05/01?\", \"Hazel\"], [\"Did I talk to Hazel on 2012/05/01?\", \"yes\"], [\"Did I talk to anyone on 2012/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/04\": {\"breakfast\": {\"eid\": \"e1473\", \"logical_representation\": [\"2012/05/04\", \"breakfast\", \"oatmeal\", \"Claire, Lydia, Eva, Olivia, Piper, Nevaeh, Nora, Piper\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/05/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1474\", \"logical_representation\": [\"2012/05/04\", \"lunch\", \"chinese food\", \"Benjamin\"], \"text_template_based\": \"I had chinese food for lunch with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/05/04?\", \"Benjamin\"], [\"what did I eat for lunch on 2012/05/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1475\", \"logical_representation\": [\"2012/05/04\", \"dinner\", \"sushi\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Carter, Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/05/04?\", \"Andrew, Carter, Emily\"], [\"what did I eat for dinner on 2012/05/04\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2012/05/06\": {\"exercise\": {\"eid\": \"e1477\", \"logical_representation\": [\"2012/05/06\", \"running\"], \"text_template_based\": \"I did running on 2012/05/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/05/06?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1478\", \"logical_representation\": [\"2012/05/06\", \"breakfast\", \"toast and cheese\", \"Avery, Jackson\"], \"text_template_based\": \"I had breakfast with Avery, Jackson. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/05/06?\", \"Avery, Jackson\"], [\"what did I eat for breakfast on 2012/05/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1479\", \"logical_representation\": [\"2012/05/06\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/05/06?\", \"34 minutes\"], [\"what did I read on 2012/05/06?\", \"a book\"], [\"Did I read on 2012/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/09\": {\"breakfast\": {\"eid\": \"e1483\", \"logical_representation\": [\"2012/05/09\", \"breakfast\", \"pancakes\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/05/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/10\": {\"watch tv\": {\"eid\": \"e1484\", \"logical_representation\": [\"2012/05/10\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I watched a tv series for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/10?\", \"10 minutes\"], [\"what did I watch on tv on 2012/05/10?\", \"a tv series\"], [\"Did I watch tv on 2012/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/12\": {\"chat0\": {\"eid\": \"e1485\", \"logical_representation\": [\"2012/05/12\", \"Piper, Kinsley, Avery, Nevaeh\", \"in the early afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Piper, Kinsley, Avery, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Avery, Nevaeh in the early afternoon on 2012/05/12?\", \"29 minutes\"], [\"who did I talk to on 2012/05/12?\", \"Piper, Kinsley, Avery, Nevaeh\"], [\"Did I talk to Piper, Kinsley, Avery, Nevaeh on 2012/05/12?\", \"yes\"], [\"Did I talk to anyone on 2012/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/14\": {\"lunch\": {\"eid\": \"e1488\", \"logical_representation\": [\"2012/05/14\", \"lunch\", \"chinese food\", \"Eva, Piper, Olivia, Kinsley, Claire, Layla, Hazel\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/05/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1489\", \"logical_representation\": [\"2012/05/14\", \"dinner\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2012/05/16\": {\"exercise\": {\"eid\": \"e1493\", \"logical_representation\": [\"2012/05/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/05/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/05/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2012/05/17\": {\"exercise\": {\"eid\": \"e1494\", \"logical_representation\": [\"2012/05/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/05/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/05/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2012/05/19\": {\"lunch\": {\"eid\": \"e1497\", \"logical_representation\": [\"2012/05/19\", \"lunch\", \"a burger\", \"Piper, Piper\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/05/19\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1498\", \"logical_representation\": [\"2012/05/19\", \"dinner\", \"indian food\", \"Rylee, Avery, Nevaeh\"], \"text_template_based\": \"I had indian food for dinner with Rylee, Avery, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/05/19?\", \"Rylee, Avery, Nevaeh\"], [\"what did I eat for dinner on 2012/05/19\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2012/05/20\": {\"chat0\": {\"eid\": \"e1499\", \"logical_representation\": [\"2012/05/20\", \"Olivia, Piper, Piper\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Piper for 32 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Piper in the early afternoon on 2012/05/20?\", \"32 minutes\"], [\"who did I talk to on 2012/05/20?\", \"Olivia, Piper, Piper\"], [\"Did I talk to Olivia, Piper, Piper on 2012/05/20?\", \"yes\"], [\"Did I talk to anyone on 2012/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1500\", \"logical_representation\": [\"2012/05/20\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/05/20?\", \"10 minutes\"], [\"what did I read on 2012/05/20?\", \"social media\"], [\"Did I read on 2012/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/21\": {\"exercise\": {\"eid\": \"e1501\", \"logical_representation\": [\"2012/05/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/05/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/05/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1502\", \"logical_representation\": [\"2012/05/21\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/21?\", \"7 minutes\"], [\"what did I watch on tv on 2012/05/21?\", \"a tv series\"], [\"Did I watch tv on 2012/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/22\": {\"exercise\": {\"eid\": \"e1503\", \"logical_representation\": [\"2012/05/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/05/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/05/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2012/05/23\": {\"chat0\": {\"eid\": \"e1504\", \"logical_representation\": [\"2012/05/23\", \"Lydia\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2012/05/23?\", \"16 minutes\"], [\"who did I talk to on 2012/05/23?\", \"Lydia\"], [\"Did I talk to Lydia on 2012/05/23?\", \"yes\"], [\"Did I talk to anyone on 2012/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/24\": {\"breakfast\": {\"eid\": \"e1505\", \"logical_representation\": [\"2012/05/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee, Kinsley, Layla, Avery, Lydia, Eva\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Rylee, Kinsley, Layla, Avery, Lydia, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/05/24?\", \"Rylee, Kinsley, Layla, Avery, Lydia, Eva\"], [\"what did I eat for breakfast on 2012/05/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2012/05/25\": {\"exercise\": {\"eid\": \"e1506\", \"logical_representation\": [\"2012/05/25\", \"running\"], \"text_template_based\": \"I did running on 2012/05/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/05/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1507\", \"logical_representation\": [\"2012/05/25\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I watched a documentary for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/25?\", \"42 minutes\"], [\"what did I watch on tv on 2012/05/25?\", \"a documentary\"], [\"Did I watch tv on 2012/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/26\": {\"dinner\": {\"eid\": \"e1508\", \"logical_representation\": [\"2012/05/26\", \"dinner\", \"chinese food\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/05/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1509\", \"logical_representation\": [\"2012/05/26\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/05/26?\", \"39 minutes\"], [\"what did I read on 2012/05/26?\", \"social media\"], [\"Did I read on 2012/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/27\": {\"chat0\": {\"eid\": \"e1510\", \"logical_representation\": [\"2012/05/27\", \"Piper, Eva\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Piper, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva in the early afternoon on 2012/05/27?\", \"21 minutes\"], [\"who did I talk to on 2012/05/27?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2012/05/27?\", \"yes\"], [\"Did I talk to anyone on 2012/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1511\", \"logical_representation\": [\"2012/05/27\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/05/27?\", \"5 minutes\"], [\"what did I read on 2012/05/27?\", \"a book\"], [\"Did I read on 2012/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1512\", \"logical_representation\": [\"2012/05/27\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/05/27?\", \"42 minutes\"], [\"what did I watch on tv on 2012/05/27?\", \"a documentary\"], [\"Did I watch tv on 2012/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/29\": {\"breakfast\": {\"eid\": \"e1515\", \"logical_representation\": [\"2012/05/29\", \"breakfast\", \"pancakes\", \"Avery, Lydia, Olivia, Kinsley, Rylee, Layla, Eva, Claire, Nora, Piper, Piper, Nevaeh, Hazel\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/05/29\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/30\": {\"breakfast\": {\"eid\": \"e1516\", \"logical_representation\": [\"2012/05/30\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Nevaeh, Olivia, Layla, Piper, Nora, Lydia, Kinsley, Piper, Hazel, Claire, Avery\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/05/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1517\", \"logical_representation\": [\"2012/05/30\", \"Nora, Rylee, Hazel, Olivia\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Nora, Rylee, Hazel, Olivia for 40 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Hazel, Olivia late in the evening on 2012/05/30?\", \"40 minutes\"], [\"who did I talk to on 2012/05/30?\", \"Nora, Rylee, Hazel, Olivia\"], [\"Did I talk to Nora, Rylee, Hazel, Olivia on 2012/05/30?\", \"yes\"], [\"Did I talk to anyone on 2012/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/05/31\": {\"chat0\": {\"eid\": \"e1518\", \"logical_representation\": [\"2012/05/31\", \"Kinsley, Nevaeh, Hazel, Eva\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh, Hazel, Eva for 53 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Hazel, Eva during lunch hours on 2012/05/31?\", \"53 minutes\"], [\"who did I talk to on 2012/05/31?\", \"Kinsley, Nevaeh, Hazel, Eva\"], [\"Did I talk to Kinsley, Nevaeh, Hazel, Eva on 2012/05/31?\", \"yes\"], [\"Did I talk to anyone on 2012/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/02\": {\"breakfast\": {\"eid\": \"e1520\", \"logical_representation\": [\"2012/06/02\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/06/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2012/06/03\": {\"breakfast\": {\"eid\": \"e1521\", \"logical_representation\": [\"2012/06/03\", \"breakfast\", \"pancakes\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had pancakes for breakfast with Avery, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/06/03?\", \"Avery, Jackson, Benjamin\"], [\"what did I eat for breakfast on 2012/06/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1522\", \"logical_representation\": [\"2012/06/03\", \"Avery, Kinsley, Claire\", \"in the morning\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Avery, Kinsley, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley, Claire in the morning on 2012/06/03?\", \"34 minutes\"], [\"who did I talk to on 2012/06/03?\", \"Avery, Kinsley, Claire\"], [\"Did I talk to Avery, Kinsley, Claire on 2012/06/03?\", \"yes\"], [\"Did I talk to anyone on 2012/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/04\": {\"chat0\": {\"eid\": \"e1523\", \"logical_representation\": [\"2012/06/04\", \"Kinsley, Layla\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla for 18 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla during lunch hours on 2012/06/04?\", \"18 minutes\"], [\"who did I talk to on 2012/06/04?\", \"Kinsley, Layla\"], [\"Did I talk to Kinsley, Layla on 2012/06/04?\", \"yes\"], [\"Did I talk to anyone on 2012/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/05\": {\"exercise\": {\"eid\": \"e1524\", \"logical_representation\": [\"2012/06/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/06/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1525\", \"logical_representation\": [\"2012/06/05\", \"lunch\", \"tacos\", \"Olivia, Lydia, Kinsley, Nora, Nevaeh\"], \"text_template_based\": \"I had lunch with Olivia, Lydia, Kinsley, Nora, Nevaeh. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/06/05?\", \"Olivia, Lydia, Kinsley, Nora, Nevaeh\"], [\"what did I eat for lunch on 2012/06/05\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2012/06/06\": {\"breakfast\": {\"eid\": \"e1526\", \"logical_representation\": [\"2012/06/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow\"], \"text_template_based\": \"I had breakfast with Willow. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/06/06?\", \"Willow\"], [\"what did I eat for breakfast on 2012/06/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1527\", \"logical_representation\": [\"2012/06/06\", \"lunch\", \"a burger\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/06/06\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2012/06/08\": {\"chat0\": {\"eid\": \"e1530\", \"logical_representation\": [\"2012/06/08\", \"Olivia, Eva, Nevaeh, Claire\", \"in the morning\", \"34 minutes\"], \"text_template_based\": \"I talked to Olivia, Eva, Nevaeh, Claire for 34 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva, Nevaeh, Claire in the morning on 2012/06/08?\", \"34 minutes\"], [\"who did I talk to on 2012/06/08?\", \"Olivia, Eva, Nevaeh, Claire\"], [\"Did I talk to Olivia, Eva, Nevaeh, Claire on 2012/06/08?\", \"yes\"], [\"Did I talk to anyone on 2012/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/09\": {\"lunch\": {\"eid\": \"e1531\", \"logical_representation\": [\"2012/06/09\", \"lunch\", \"tacos\", \"Olivia, Eva, Claire\"], \"text_template_based\": \"I had lunch with Olivia, Eva, Claire. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/06/09?\", \"Olivia, Eva, Claire\"], [\"what did I eat for lunch on 2012/06/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1532\", \"logical_representation\": [\"2012/06/09\", \"dinner\", \"steak\", \"Jackson\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/06/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1533\", \"logical_representation\": [\"2012/06/09\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/06/09?\", \"18 minutes\"], [\"what did I read on 2012/06/09?\", \"a book\"], [\"Did I read on 2012/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/10\": {\"dinner\": {\"eid\": \"e1534\", \"logical_representation\": [\"2012/06/10\", \"dinner\", \"sandwich\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/06/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1535\", \"logical_representation\": [\"2012/06/10\", \"Olivia, Nora, Piper, Avery\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora, Piper, Avery for 36 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Piper, Avery during lunch hours on 2012/06/10?\", \"36 minutes\"], [\"who did I talk to on 2012/06/10?\", \"Olivia, Nora, Piper, Avery\"], [\"Did I talk to Olivia, Nora, Piper, Avery on 2012/06/10?\", \"yes\"], [\"Did I talk to anyone on 2012/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1536\", \"logical_representation\": [\"2012/06/10\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/06/10?\", \"44 minutes\"], [\"what did I read on 2012/06/10?\", \"social media\"], [\"Did I read on 2012/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/11\": {\"chat0\": {\"eid\": \"e1537\", \"logical_representation\": [\"2012/06/11\", \"Olivia\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Olivia for 12 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2012/06/11?\", \"12 minutes\"], [\"who did I talk to on 2012/06/11?\", \"Olivia\"], [\"Did I talk to Olivia on 2012/06/11?\", \"yes\"], [\"Did I talk to anyone on 2012/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1538\", \"logical_representation\": [\"2012/06/11\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/06/11?\", \"23 minutes\"], [\"what did I read on 2012/06/11?\", \"a book\"], [\"Did I read on 2012/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/12\": {\"chat0\": {\"eid\": \"e1539\", \"logical_representation\": [\"2012/06/12\", \"Rylee, Lydia, Kinsley, Claire\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Rylee, Lydia, Kinsley, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Kinsley, Claire in the morning on 2012/06/12?\", \"54 minutes\"], [\"who did I talk to on 2012/06/12?\", \"Rylee, Lydia, Kinsley, Claire\"], [\"Did I talk to Rylee, Lydia, Kinsley, Claire on 2012/06/12?\", \"yes\"], [\"Did I talk to anyone on 2012/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1540\", \"logical_representation\": [\"2012/06/12\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/12?\", \"20 minutes\"], [\"what did I watch on tv on 2012/06/12?\", \"news\"], [\"Did I watch tv on 2012/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/13\": {\"chat0\": {\"eid\": \"e1541\", \"logical_representation\": [\"2012/06/13\", \"Lydia, Hazel, Layla\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Lydia, Hazel, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Layla in the late afternoon on 2012/06/13?\", \"50 minutes\"], [\"who did I talk to on 2012/06/13?\", \"Lydia, Hazel, Layla\"], [\"Did I talk to Lydia, Hazel, Layla on 2012/06/13?\", \"yes\"], [\"Did I talk to anyone on 2012/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/15\": {\"chat0\": {\"eid\": \"e1542\", \"logical_representation\": [\"2012/06/15\", \"Hazel\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2012/06/15?\", \"46 minutes\"], [\"who did I talk to on 2012/06/15?\", \"Hazel\"], [\"Did I talk to Hazel on 2012/06/15?\", \"yes\"], [\"Did I talk to anyone on 2012/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/16\": {\"lunch\": {\"eid\": \"e1543\", \"logical_representation\": [\"2012/06/16\", \"lunch\", \"fish and chips\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/06/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1544\", \"logical_representation\": [\"2012/06/16\", \"Claire\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the morning on 2012/06/16?\", \"39 minutes\"], [\"who did I talk to on 2012/06/16?\", \"Claire\"], [\"Did I talk to Claire on 2012/06/16?\", \"yes\"], [\"Did I talk to anyone on 2012/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1545\", \"logical_representation\": [\"2012/06/16\", \"a movie\", \"30 minutes\"], \"text_template_based\": \"I watched a movie for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/16?\", \"30 minutes\"], [\"what did I watch on tv on 2012/06/16?\", \"a movie\"], [\"Did I watch tv on 2012/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/19\": {\"breakfast\": {\"eid\": \"e1546\", \"logical_representation\": [\"2012/06/19\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/06/19?\", \"Kayden\"], [\"what did I eat for breakfast on 2012/06/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1547\", \"logical_representation\": [\"2012/06/19\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/19?\", \"22 minutes\"], [\"what did I watch on tv on 2012/06/19?\", \"a movie\"], [\"Did I watch tv on 2012/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/20\": {\"read\": {\"eid\": \"e1548\", \"logical_representation\": [\"2012/06/20\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/06/20?\", \"27 minutes\"], [\"what did I read on 2012/06/20?\", \"a book\"], [\"Did I read on 2012/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/21\": {\"exercise\": {\"eid\": \"e1549\", \"logical_representation\": [\"2012/06/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/06/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/06/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1550\", \"logical_representation\": [\"2012/06/21\", \"dinner\", \"fish and chips\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/06/21?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2012/06/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1551\", \"logical_representation\": [\"2012/06/21\", \"Avery, Olivia\", \"during lunch hours\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Avery, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia during lunch hours on 2012/06/21?\", \"5 minutes\"], [\"who did I talk to on 2012/06/21?\", \"Avery, Olivia\"], [\"Did I talk to Avery, Olivia on 2012/06/21?\", \"yes\"], [\"Did I talk to anyone on 2012/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/22\": {\"dinner\": {\"eid\": \"e1552\", \"logical_representation\": [\"2012/06/22\", \"dinner\", \"a burger\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had a burger for dinner with Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/06/22?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for dinner on 2012/06/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1553\", \"logical_representation\": [\"2012/06/22\", \"Olivia, Hazel, Rylee\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I talked to Olivia, Hazel, Rylee for 46 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Rylee in the early afternoon on 2012/06/22?\", \"46 minutes\"], [\"who did I talk to on 2012/06/22?\", \"Olivia, Hazel, Rylee\"], [\"Did I talk to Olivia, Hazel, Rylee on 2012/06/22?\", \"yes\"], [\"Did I talk to anyone on 2012/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1554\", \"logical_representation\": [\"2012/06/22\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/22?\", \"42 minutes\"], [\"what did I watch on tv on 2012/06/22?\", \"a tv series\"], [\"Did I watch tv on 2012/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/24\": {\"watch tv\": {\"eid\": \"e1555\", \"logical_representation\": [\"2012/06/24\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/24?\", \"43 minutes\"], [\"what did I watch on tv on 2012/06/24?\", \"a documentary\"], [\"Did I watch tv on 2012/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/25\": {\"read\": {\"eid\": \"e1556\", \"logical_representation\": [\"2012/06/25\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/06/25?\", \"49 minutes\"], [\"what did I read on 2012/06/25?\", \"a book\"], [\"Did I read on 2012/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/26\": {\"chat0\": {\"eid\": \"e1557\", \"logical_representation\": [\"2012/06/26\", \"Layla\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Layla for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2012/06/26?\", \"43 minutes\"], [\"who did I talk to on 2012/06/26?\", \"Layla\"], [\"Did I talk to Layla on 2012/06/26?\", \"yes\"], [\"Did I talk to anyone on 2012/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1558\", \"logical_representation\": [\"2012/06/26\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/06/26?\", \"31 minutes\"], [\"what did I read on 2012/06/26?\", \"social media\"], [\"Did I read on 2012/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1559\", \"logical_representation\": [\"2012/06/26\", \"a documentary\", \"19 minutes\"], \"text_template_based\": \"I watched a documentary for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/06/26?\", \"19 minutes\"], [\"what did I watch on tv on 2012/06/26?\", \"a documentary\"], [\"Did I watch tv on 2012/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/06/30\": {\"lunch\": {\"eid\": \"e1565\", \"logical_representation\": [\"2012/06/30\", \"lunch\", \"steak\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had lunch with Benjamin, Willow, Avery, Jackson. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/06/30?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for lunch on 2012/06/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1566\", \"logical_representation\": [\"2012/06/30\", \"Nevaeh, Olivia, Piper\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Piper for 13 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Piper during lunch hours on 2012/06/30?\", \"13 minutes\"], [\"who did I talk to on 2012/06/30?\", \"Nevaeh, Olivia, Piper\"], [\"Did I talk to Nevaeh, Olivia, Piper on 2012/06/30?\", \"yes\"], [\"Did I talk to anyone on 2012/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1567\", \"logical_representation\": [\"2012/06/30\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/06/30?\", \"36 minutes\"], [\"what did I read on 2012/06/30?\", \"news\"], [\"Did I read on 2012/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/01\": {\"lunch\": {\"eid\": \"e1568\", \"logical_representation\": [\"2012/07/01\", \"lunch\", \"fish and chips\", \"Rylee, Nevaeh, Eva, Hazel, Kinsley, Claire, Layla, Piper, Olivia, Piper, Avery\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/07/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1569\", \"logical_representation\": [\"2012/07/01\", \"Piper, Eva\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Piper, Eva for 52 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva late in the evening on 2012/07/01?\", \"52 minutes\"], [\"who did I talk to on 2012/07/01?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2012/07/01?\", \"yes\"], [\"Did I talk to anyone on 2012/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1570\", \"logical_representation\": [\"2012/07/01\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/07/01?\", \"36 minutes\"], [\"what did I read on 2012/07/01?\", \"a book\"], [\"Did I read on 2012/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/03\": {\"read\": {\"eid\": \"e1573\", \"logical_representation\": [\"2012/07/03\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/07/03?\", \"13 minutes\"], [\"what did I read on 2012/07/03?\", \"a book\"], [\"Did I read on 2012/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/04\": {\"lunch\": {\"eid\": \"e1574\", \"logical_representation\": [\"2012/07/04\", \"lunch\", \"sandwich\", \"Olivia, Piper, Claire, Piper, Hazel, Layla, Lydia\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/07/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2012/07/06\": {\"chat0\": {\"eid\": \"e1576\", \"logical_representation\": [\"2012/07/06\", \"Hazel, Piper, Nora\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Hazel, Piper, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Nora during lunch hours on 2012/07/06?\", \"34 minutes\"], [\"who did I talk to on 2012/07/06?\", \"Hazel, Piper, Nora\"], [\"Did I talk to Hazel, Piper, Nora on 2012/07/06?\", \"yes\"], [\"Did I talk to anyone on 2012/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/08\": {\"dinner\": {\"eid\": \"e1578\", \"logical_representation\": [\"2012/07/08\", \"dinner\", \"steak\", \"Benjamin\"], \"text_template_based\": \"I had steak for dinner with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/07/08?\", \"Benjamin\"], [\"what did I eat for dinner on 2012/07/08\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2012/07/09\": {\"lunch\": {\"eid\": \"e1579\", \"logical_representation\": [\"2012/07/09\", \"lunch\", \"indian food\", \"Eva, Kinsley, Lydia, Nevaeh\"], \"text_template_based\": \"I had lunch with Eva, Kinsley, Lydia, Nevaeh. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/07/09?\", \"Eva, Kinsley, Lydia, Nevaeh\"], [\"what did I eat for lunch on 2012/07/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1580\", \"logical_representation\": [\"2012/07/09\", \"dinner\", \"steak\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had steak for dinner with Kayden, Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/07/09?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2012/07/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1581\", \"logical_representation\": [\"2012/07/09\", \"Hazel, Olivia\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I talked to Hazel, Olivia for 28 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia in the early evening on 2012/07/09?\", \"28 minutes\"], [\"who did I talk to on 2012/07/09?\", \"Hazel, Olivia\"], [\"Did I talk to Hazel, Olivia on 2012/07/09?\", \"yes\"], [\"Did I talk to anyone on 2012/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/10\": {\"breakfast\": {\"eid\": \"e1582\", \"logical_representation\": [\"2012/07/10\", \"breakfast\", \"toast and cheese\", \"Nevaeh\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1583\", \"logical_representation\": [\"2012/07/10\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/07/10?\", \"11 minutes\"], [\"what did I read on 2012/07/10?\", \"social media\"], [\"Did I read on 2012/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/13\": {\"exercise\": {\"eid\": \"e1586\", \"logical_representation\": [\"2012/07/13\", \"biking\"], \"text_template_based\": \"I did biking on 2012/07/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1587\", \"logical_representation\": [\"2012/07/13\", \"Piper, Lydia, Nevaeh\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Nevaeh for 51 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Nevaeh in the morning on 2012/07/13?\", \"51 minutes\"], [\"who did I talk to on 2012/07/13?\", \"Piper, Lydia, Nevaeh\"], [\"Did I talk to Piper, Lydia, Nevaeh on 2012/07/13?\", \"yes\"], [\"Did I talk to anyone on 2012/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/14\": {\"dinner\": {\"eid\": \"e1588\", \"logical_representation\": [\"2012/07/14\", \"dinner\", \"indian food\", \"Piper, Rylee, Nora, Claire, Lydia, Avery, Kinsley, Piper\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/07/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1589\", \"logical_representation\": [\"2012/07/14\", \"Eva, Nora\", \"in the early evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Eva, Nora for 31 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora in the early evening on 2012/07/14?\", \"31 minutes\"], [\"who did I talk to on 2012/07/14?\", \"Eva, Nora\"], [\"Did I talk to Eva, Nora on 2012/07/14?\", \"yes\"], [\"Did I talk to anyone on 2012/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/15\": {\"read\": {\"eid\": \"e1590\", \"logical_representation\": [\"2012/07/15\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/07/15?\", \"38 minutes\"], [\"what did I read on 2012/07/15?\", \"news\"], [\"Did I read on 2012/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/16\": {\"breakfast\": {\"eid\": \"e1591\", \"logical_representation\": [\"2012/07/16\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2012/07/17\": {\"chat0\": {\"eid\": \"e1592\", \"logical_representation\": [\"2012/07/17\", \"Nevaeh, Lydia\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Nevaeh, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia in the early evening on 2012/07/17?\", \"5 minutes\"], [\"who did I talk to on 2012/07/17?\", \"Nevaeh, Lydia\"], [\"Did I talk to Nevaeh, Lydia on 2012/07/17?\", \"yes\"], [\"Did I talk to anyone on 2012/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/18\": {\"lunch\": {\"eid\": \"e1593\", \"logical_representation\": [\"2012/07/18\", \"lunch\", \"fish and chips\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/07/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2012/07/20\": {\"dinner\": {\"eid\": \"e1594\", \"logical_representation\": [\"2012/07/20\", \"dinner\", \"a burger\", \"Nora, Nevaeh, Piper, Rylee\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/07/20\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2012/07/22\": {\"breakfast\": {\"eid\": \"e1595\", \"logical_representation\": [\"2012/07/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/07/22?\", \"Emily\"], [\"what did I eat for breakfast on 2012/07/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2012/07/23\": {\"exercise\": {\"eid\": \"e1596\", \"logical_representation\": [\"2012/07/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/07/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1597\", \"logical_representation\": [\"2012/07/23\", \"Nora, Piper\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Nora, Piper for 9 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the early evening on 2012/07/23?\", \"9 minutes\"], [\"who did I talk to on 2012/07/23?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2012/07/23?\", \"yes\"], [\"Did I talk to anyone on 2012/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/24\": {\"chat0\": {\"eid\": \"e1598\", \"logical_representation\": [\"2012/07/24\", \"Lydia, Kinsley, Claire\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Lydia, Kinsley, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Claire in the late afternoon on 2012/07/24?\", \"11 minutes\"], [\"who did I talk to on 2012/07/24?\", \"Lydia, Kinsley, Claire\"], [\"Did I talk to Lydia, Kinsley, Claire on 2012/07/24?\", \"yes\"], [\"Did I talk to anyone on 2012/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/25\": {\"breakfast\": {\"eid\": \"e1599\", \"logical_representation\": [\"2012/07/25\", \"breakfast\", \"pancakes\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/07/25?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2012/07/25\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1600\", \"logical_representation\": [\"2012/07/25\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/25?\", \"46 minutes\"], [\"what did I watch on tv on 2012/07/25?\", \"a movie\"], [\"Did I watch tv on 2012/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/26\": {\"social media\": {\"eid\": \"e1601\", \"logical_representation\": [\"2012/07/26\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/07/26?\", \"53 minutes\"], [\"what did I read on 2012/07/26?\", \"social media\"], [\"Did I read on 2012/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/27\": {\"exercise\": {\"eid\": \"e1602\", \"logical_representation\": [\"2012/07/27\", \"biking\"], \"text_template_based\": \"I did biking on 2012/07/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/27?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1603\", \"logical_representation\": [\"2012/07/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Kinsley, Avery, Piper, Nora, Claire, Nevaeh, Eva, Piper, Layla, Lydia\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1604\", \"logical_representation\": [\"2012/07/27\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I watched a documentary for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/07/27?\", \"16 minutes\"], [\"what did I watch on tv on 2012/07/27?\", \"a documentary\"], [\"Did I watch tv on 2012/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/07/28\": {\"breakfast\": {\"eid\": \"e1605\", \"logical_representation\": [\"2012/07/28\", \"breakfast\", \"cereals\", \"Jackson, Benjamin\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/07/28\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2012/07/29\": {\"exercise\": {\"eid\": \"e1606\", \"logical_representation\": [\"2012/07/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/07/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/07/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2012/07/30\": {\"chat0\": {\"eid\": \"e1607\", \"logical_representation\": [\"2012/07/30\", \"Eva, Avery, Claire\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Eva, Avery, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Claire late in the evening on 2012/07/30?\", \"31 minutes\"], [\"who did I talk to on 2012/07/30?\", \"Eva, Avery, Claire\"], [\"Did I talk to Eva, Avery, Claire on 2012/07/30?\", \"yes\"], [\"Did I talk to anyone on 2012/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/02\": {\"lunch\": {\"eid\": \"e1611\", \"logical_representation\": [\"2012/08/02\", \"lunch\", \"indian food\", \"Layla, Lydia, Piper, Nora, Rylee, Kinsley, Eva, Hazel, Nevaeh, Claire, Olivia\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/02\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2012/08/05\": {\"lunch\": {\"eid\": \"e1615\", \"logical_representation\": [\"2012/08/05\", \"lunch\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1616\", \"logical_representation\": [\"2012/08/05\", \"Olivia, Lydia, Rylee\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I talked to Olivia, Lydia, Rylee for 19 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia, Rylee in the morning on 2012/08/05?\", \"19 minutes\"], [\"who did I talk to on 2012/08/05?\", \"Olivia, Lydia, Rylee\"], [\"Did I talk to Olivia, Lydia, Rylee on 2012/08/05?\", \"yes\"], [\"Did I talk to anyone on 2012/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1617\", \"logical_representation\": [\"2012/08/05\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/08/05?\", \"31 minutes\"], [\"what did I read on 2012/08/05?\", \"social media\"], [\"Did I read on 2012/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/06\": {\"read\": {\"eid\": \"e1618\", \"logical_representation\": [\"2012/08/06\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/08/06?\", \"14 minutes\"], [\"what did I read on 2012/08/06?\", \"a book\"], [\"Did I read on 2012/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/09\": {\"exercise\": {\"eid\": \"e1620\", \"logical_representation\": [\"2012/08/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/08/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1621\", \"logical_representation\": [\"2012/08/09\", \"breakfast\", \"pancakes\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had breakfast with Jackson, Willow, Avery. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/08/09?\", \"Jackson, Willow, Avery\"], [\"what did I eat for breakfast on 2012/08/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1622\", \"logical_representation\": [\"2012/08/09\", \"Eva, Avery, Rylee\", \"in the early evening\", \"54 minutes\"], \"text_template_based\": \"I talked to Eva, Avery, Rylee for 54 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Rylee in the early evening on 2012/08/09?\", \"54 minutes\"], [\"who did I talk to on 2012/08/09?\", \"Eva, Avery, Rylee\"], [\"Did I talk to Eva, Avery, Rylee on 2012/08/09?\", \"yes\"], [\"Did I talk to anyone on 2012/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/10\": {\"lunch\": {\"eid\": \"e1623\", \"logical_representation\": [\"2012/08/10\", \"lunch\", \"steak\", \"Kayden, Emily\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/10\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1624\", \"logical_representation\": [\"2012/08/10\", \"Lydia, Olivia\", \"late in the evening\", \"7 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia for 7 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia late in the evening on 2012/08/10?\", \"7 minutes\"], [\"who did I talk to on 2012/08/10?\", \"Lydia, Olivia\"], [\"Did I talk to Lydia, Olivia on 2012/08/10?\", \"yes\"], [\"Did I talk to anyone on 2012/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/11\": {\"chat0\": {\"eid\": \"e1625\", \"logical_representation\": [\"2012/08/11\", \"Kinsley, Avery, Nora\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Kinsley, Avery, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Nora in the morning on 2012/08/11?\", \"54 minutes\"], [\"who did I talk to on 2012/08/11?\", \"Kinsley, Avery, Nora\"], [\"Did I talk to Kinsley, Avery, Nora on 2012/08/11?\", \"yes\"], [\"Did I talk to anyone on 2012/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1626\", \"logical_representation\": [\"2012/08/11\", \"a movie\", \"9 minutes\"], \"text_template_based\": \"I watched a movie for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/11?\", \"9 minutes\"], [\"what did I watch on tv on 2012/08/11?\", \"a movie\"], [\"Did I watch tv on 2012/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/12\": {\"chat0\": {\"eid\": \"e1627\", \"logical_representation\": [\"2012/08/12\", \"Piper\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Piper for 23 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2012/08/12?\", \"23 minutes\"], [\"who did I talk to on 2012/08/12?\", \"Piper\"], [\"Did I talk to Piper on 2012/08/12?\", \"yes\"], [\"Did I talk to anyone on 2012/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1628\", \"logical_representation\": [\"2012/08/12\", \"a tv series\", \"19 minutes\"], \"text_template_based\": \"I watched a tv series for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/12?\", \"19 minutes\"], [\"what did I watch on tv on 2012/08/12?\", \"a tv series\"], [\"Did I watch tv on 2012/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/14\": {\"lunch\": {\"eid\": \"e1629\", \"logical_representation\": [\"2012/08/14\", \"lunch\", \"indian food\", \"Kayden, Emily\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1630\", \"logical_representation\": [\"2012/08/14\", \"dinner\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1631\", \"logical_representation\": [\"2012/08/14\", \"Nora, Olivia, Piper\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Nora, Olivia, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Piper in the morning on 2012/08/14?\", \"14 minutes\"], [\"who did I talk to on 2012/08/14?\", \"Nora, Olivia, Piper\"], [\"Did I talk to Nora, Olivia, Piper on 2012/08/14?\", \"yes\"], [\"Did I talk to anyone on 2012/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/15\": {\"exercise\": {\"eid\": \"e1632\", \"logical_representation\": [\"2012/08/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2012/08/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1633\", \"logical_representation\": [\"2012/08/15\", \"breakfast\", \"oatmeal\", \"Eva, Rylee, Piper, Hazel, Piper, Nora, Olivia, Kinsley\"], \"text_template_based\": \"I had oatmeal for breakfast with Eva, Rylee, Piper, Hazel, Piper, Nora, Olivia, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/08/15?\", \"Eva, Rylee, Piper, Hazel, Piper, Nora, Olivia, Kinsley\"], [\"what did I eat for breakfast on 2012/08/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1634\", \"logical_representation\": [\"2012/08/15\", \"dinner\", \"steak\", \"Claire, Piper, Eva, Rylee, Lydia, Olivia, Nevaeh, Hazel, Piper, Kinsley, Nora, Avery\"], \"text_template_based\": \"I had steak for dinner with Claire, Piper, Eva, Rylee, Lydia, Olivia, Nevaeh, Hazel, Piper, Kinsley, Nora, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/08/15?\", \"Claire, Piper, Eva, Rylee, Lydia, Olivia, Nevaeh, Hazel, Piper, Kinsley, Nora, Avery\"], [\"what did I eat for dinner on 2012/08/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1635\", \"logical_representation\": [\"2012/08/15\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/08/15?\", \"20 minutes\"], [\"what did I read on 2012/08/15?\", \"news\"], [\"Did I read on 2012/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/16\": {\"social media\": {\"eid\": \"e1636\", \"logical_representation\": [\"2012/08/16\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/08/16?\", \"55 minutes\"], [\"what did I read on 2012/08/16?\", \"social media\"], [\"Did I read on 2012/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1637\", \"logical_representation\": [\"2012/08/16\", \"a documentary\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/08/16?\", \"11 minutes\"], [\"what did I watch on tv on 2012/08/16?\", \"a documentary\"], [\"Did I watch tv on 2012/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/17\": {\"chat0\": {\"eid\": \"e1638\", \"logical_representation\": [\"2012/08/17\", \"Kinsley, Nora, Eva, Layla\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Kinsley, Nora, Eva, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Eva, Layla in the morning on 2012/08/17?\", \"44 minutes\"], [\"who did I talk to on 2012/08/17?\", \"Kinsley, Nora, Eva, Layla\"], [\"Did I talk to Kinsley, Nora, Eva, Layla on 2012/08/17?\", \"yes\"], [\"Did I talk to anyone on 2012/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/19\": {\"dinner\": {\"eid\": \"e1639\", \"logical_representation\": [\"2012/08/19\", \"dinner\", \"pasta\", \"Jackson, Avery\"], \"text_template_based\": \"I had dinner with Jackson, Avery. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/08/19?\", \"Jackson, Avery\"], [\"what did I eat for dinner on 2012/08/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1640\", \"logical_representation\": [\"2012/08/19\", \"Olivia, Claire\", \"in the morning\", \"16 minutes\"], \"text_template_based\": \"I talked to Olivia, Claire for 16 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire in the morning on 2012/08/19?\", \"16 minutes\"], [\"who did I talk to on 2012/08/19?\", \"Olivia, Claire\"], [\"Did I talk to Olivia, Claire on 2012/08/19?\", \"yes\"], [\"Did I talk to anyone on 2012/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/20\": {\"chat0\": {\"eid\": \"e1641\", \"logical_representation\": [\"2012/08/20\", \"Piper, Piper, Nevaeh, Hazel\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Piper, Piper, Nevaeh, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Nevaeh, Hazel in the early afternoon on 2012/08/20?\", \"48 minutes\"], [\"who did I talk to on 2012/08/20?\", \"Piper, Piper, Nevaeh, Hazel\"], [\"Did I talk to Piper, Piper, Nevaeh, Hazel on 2012/08/20?\", \"yes\"], [\"Did I talk to anyone on 2012/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/22\": {\"chat0\": {\"eid\": \"e1643\", \"logical_representation\": [\"2012/08/22\", \"Kinsley, Olivia, Rylee, Piper\", \"late in the evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Kinsley, Olivia, Rylee, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Rylee, Piper late in the evening on 2012/08/22?\", \"51 minutes\"], [\"who did I talk to on 2012/08/22?\", \"Kinsley, Olivia, Rylee, Piper\"], [\"Did I talk to Kinsley, Olivia, Rylee, Piper on 2012/08/22?\", \"yes\"], [\"Did I talk to anyone on 2012/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/23\": {\"breakfast\": {\"eid\": \"e1644\", \"logical_representation\": [\"2012/08/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Olivia, Avery, Layla, Piper, Lydia, Eva, Hazel, Nora, Rylee, Nevaeh, Piper\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/08/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1645\", \"logical_representation\": [\"2012/08/23\", \"dinner\", \"sushi\", \"Avery, Nevaeh, Claire, Lydia, Nora, Piper, Eva, Kinsley, Rylee, Layla, Olivia, Piper\"], \"text_template_based\": \"I had dinner with Avery, Nevaeh, Claire, Lydia, Nora, Piper, Eva, Kinsley, Rylee, Layla, Olivia, Piper. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/08/23?\", \"Avery, Nevaeh, Claire, Lydia, Nora, Piper, Eva, Kinsley, Rylee, Layla, Olivia, Piper\"], [\"what did I eat for dinner on 2012/08/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1646\", \"logical_representation\": [\"2012/08/23\", \"Hazel, Lydia\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Hazel, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia in the early evening on 2012/08/23?\", \"50 minutes\"], [\"who did I talk to on 2012/08/23?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2012/08/23?\", \"yes\"], [\"Did I talk to anyone on 2012/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/24\": {\"exercise\": {\"eid\": \"e1647\", \"logical_representation\": [\"2012/08/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/08/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/08/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2012/08/26\": {\"read\": {\"eid\": \"e1650\", \"logical_representation\": [\"2012/08/26\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/08/26?\", \"10 minutes\"], [\"what did I read on 2012/08/26?\", \"a book\"], [\"Did I read on 2012/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/27\": {\"chat0\": {\"eid\": \"e1651\", \"logical_representation\": [\"2012/08/27\", \"Layla, Eva, Claire, Avery\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Layla, Eva, Claire, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Claire, Avery in the early afternoon on 2012/08/27?\", \"20 minutes\"], [\"who did I talk to on 2012/08/27?\", \"Layla, Eva, Claire, Avery\"], [\"Did I talk to Layla, Eva, Claire, Avery on 2012/08/27?\", \"yes\"], [\"Did I talk to anyone on 2012/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/28\": {\"lunch\": {\"eid\": \"e1652\", \"logical_representation\": [\"2012/08/28\", \"lunch\", \"chinese food\", \"Nevaeh, Lydia, Nora, Kinsley, Claire, Layla\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/08/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2012/08/30\": {\"social media\": {\"eid\": \"e1654\", \"logical_representation\": [\"2012/08/30\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/08/30?\", \"37 minutes\"], [\"what did I read on 2012/08/30?\", \"social media\"], [\"Did I read on 2012/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/08/31\": {\"dinner\": {\"eid\": \"e1655\", \"logical_representation\": [\"2012/08/31\", \"dinner\", \"sandwich\", \"Eva, Layla, Piper, Claire, Avery, Kinsley, Hazel, Lydia, Nevaeh, Rylee, Olivia, Piper\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/08/31\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2012/09/01\": {\"dinner\": {\"eid\": \"e1656\", \"logical_representation\": [\"2012/09/01\", \"dinner\", \"indian food\", \"Claire, Rylee, Piper, Eva, Hazel, Lydia\"], \"text_template_based\": \"I had dinner with Claire, Rylee, Piper, Eva, Hazel, Lydia. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/09/01?\", \"Claire, Rylee, Piper, Eva, Hazel, Lydia\"], [\"what did I eat for dinner on 2012/09/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1657\", \"logical_representation\": [\"2012/09/01\", \"Avery, Piper\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Avery, Piper for 12 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the early afternoon on 2012/09/01?\", \"12 minutes\"], [\"who did I talk to on 2012/09/01?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2012/09/01?\", \"yes\"], [\"Did I talk to anyone on 2012/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/02\": {\"chat0\": {\"eid\": \"e1658\", \"logical_representation\": [\"2012/09/02\", \"Nevaeh\", \"late in the evening\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2012/09/02?\", \"27 minutes\"], [\"who did I talk to on 2012/09/02?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2012/09/02?\", \"yes\"], [\"Did I talk to anyone on 2012/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/03\": {\"exercise\": {\"eid\": \"e1659\", \"logical_representation\": [\"2012/09/03\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/09/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/03?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2012/09/04\": {\"breakfast\": {\"eid\": \"e1660\", \"logical_representation\": [\"2012/09/04\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/09/04?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2012/09/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1661\", \"logical_representation\": [\"2012/09/04\", \"dinner\", \"sushi\", \"Claire, Eva, Kinsley, Hazel, Nevaeh, Piper, Lydia, Avery, Nora\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/04\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2012/09/07\": {\"read\": {\"eid\": \"e1664\", \"logical_representation\": [\"2012/09/07\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/09/07?\", \"24 minutes\"], [\"what did I read on 2012/09/07?\", \"a book\"], [\"Did I read on 2012/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/08\": {\"breakfast\": {\"eid\": \"e1665\", \"logical_representation\": [\"2012/09/08\", \"breakfast\", \"oatmeal\", \"Avery, Willow\"], \"text_template_based\": \"I had oatmeal for breakfast with Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/09/08?\", \"Avery, Willow\"], [\"what did I eat for breakfast on 2012/09/08\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1666\", \"logical_representation\": [\"2012/09/08\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/09/08?\", \"24 minutes\"], [\"what did I read on 2012/09/08?\", \"a book\"], [\"Did I read on 2012/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/09\": {\"dinner\": {\"eid\": \"e1667\", \"logical_representation\": [\"2012/09/09\", \"dinner\", \"indian food\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/09\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2012/09/10\": {\"dinner\": {\"eid\": \"e1668\", \"logical_representation\": [\"2012/09/10\", \"dinner\", \"pasta\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1669\", \"logical_representation\": [\"2012/09/10\", \"Piper, Olivia, Nora\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Piper, Olivia, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Nora late in the evening on 2012/09/10?\", \"18 minutes\"], [\"who did I talk to on 2012/09/10?\", \"Piper, Olivia, Nora\"], [\"Did I talk to Piper, Olivia, Nora on 2012/09/10?\", \"yes\"], [\"Did I talk to anyone on 2012/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1670\", \"logical_representation\": [\"2012/09/10\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/09/10?\", \"55 minutes\"], [\"what did I read on 2012/09/10?\", \"social media\"], [\"Did I read on 2012/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1671\", \"logical_representation\": [\"2012/09/10\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I watched a movie for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/10?\", \"45 minutes\"], [\"what did I watch on tv on 2012/09/10?\", \"a movie\"], [\"Did I watch tv on 2012/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/11\": {\"dinner\": {\"eid\": \"e1672\", \"logical_representation\": [\"2012/09/11\", \"dinner\", \"tacos\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1673\", \"logical_representation\": [\"2012/09/11\", \"Claire, Eva, Piper\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Claire, Eva, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Piper in the morning on 2012/09/11?\", \"31 minutes\"], [\"who did I talk to on 2012/09/11?\", \"Claire, Eva, Piper\"], [\"Did I talk to Claire, Eva, Piper on 2012/09/11?\", \"yes\"], [\"Did I talk to anyone on 2012/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/12\": {\"dinner\": {\"eid\": \"e1674\", \"logical_representation\": [\"2012/09/12\", \"dinner\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1675\", \"logical_representation\": [\"2012/09/12\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/09/12?\", \"34 minutes\"], [\"what did I read on 2012/09/12?\", \"social media\"], [\"Did I read on 2012/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/13\": {\"breakfast\": {\"eid\": \"e1676\", \"logical_representation\": [\"2012/09/13\", \"breakfast\", \"toast and cheese\", \"Willow\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/09/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1677\", \"logical_representation\": [\"2012/09/13\", \"Lydia, Nora, Hazel\", \"in the early evening\", \"54 minutes\"], \"text_template_based\": \"I talked to Lydia, Nora, Hazel for 54 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Hazel in the early evening on 2012/09/13?\", \"54 minutes\"], [\"who did I talk to on 2012/09/13?\", \"Lydia, Nora, Hazel\"], [\"Did I talk to Lydia, Nora, Hazel on 2012/09/13?\", \"yes\"], [\"Did I talk to anyone on 2012/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/15\": {\"watch tv\": {\"eid\": \"e1678\", \"logical_representation\": [\"2012/09/15\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I watched a movie for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/15?\", \"39 minutes\"], [\"what did I watch on tv on 2012/09/15?\", \"a movie\"], [\"Did I watch tv on 2012/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/16\": {\"read\": {\"eid\": \"e1679\", \"logical_representation\": [\"2012/09/16\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/09/16?\", \"33 minutes\"], [\"what did I read on 2012/09/16?\", \"a book\"], [\"Did I read on 2012/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/17\": {\"chat0\": {\"eid\": \"e1680\", \"logical_representation\": [\"2012/09/17\", \"Nevaeh, Hazel, Layla, Eva\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Nevaeh, Hazel, Layla, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Layla, Eva in the early evening on 2012/09/17?\", \"10 minutes\"], [\"who did I talk to on 2012/09/17?\", \"Nevaeh, Hazel, Layla, Eva\"], [\"Did I talk to Nevaeh, Hazel, Layla, Eva on 2012/09/17?\", \"yes\"], [\"Did I talk to anyone on 2012/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/19\": {\"dinner\": {\"eid\": \"e1683\", \"logical_representation\": [\"2012/09/19\", \"dinner\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/19\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2012/09/20\": {\"breakfast\": {\"eid\": \"e1684\", \"logical_representation\": [\"2012/09/20\", \"breakfast\", \"pancakes\", \"Piper, Claire, Olivia, Nevaeh, Rylee, Hazel, Piper, Eva\"], \"text_template_based\": \"I had breakfast with Piper, Claire, Olivia, Nevaeh, Rylee, Hazel, Piper, Eva. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/09/20?\", \"Piper, Claire, Olivia, Nevaeh, Rylee, Hazel, Piper, Eva\"], [\"what did I eat for breakfast on 2012/09/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1685\", \"logical_representation\": [\"2012/09/20\", \"dinner\", \"steak\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had steak for dinner with Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/09/20?\", \"Jackson, Benjamin\"], [\"what did I eat for dinner on 2012/09/20\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1686\", \"logical_representation\": [\"2012/09/20\", \"Olivia, Nora, Eva\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Olivia, Nora, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Eva in the morning on 2012/09/20?\", \"51 minutes\"], [\"who did I talk to on 2012/09/20?\", \"Olivia, Nora, Eva\"], [\"Did I talk to Olivia, Nora, Eva on 2012/09/20?\", \"yes\"], [\"Did I talk to anyone on 2012/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/21\": {\"chat0\": {\"eid\": \"e1687\", \"logical_representation\": [\"2012/09/21\", \"Rylee, Lydia, Olivia\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I talked to Rylee, Lydia, Olivia for 29 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Olivia in the morning on 2012/09/21?\", \"29 minutes\"], [\"who did I talk to on 2012/09/21?\", \"Rylee, Lydia, Olivia\"], [\"Did I talk to Rylee, Lydia, Olivia on 2012/09/21?\", \"yes\"], [\"Did I talk to anyone on 2012/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/23\": {\"exercise\": {\"eid\": \"e1688\", \"logical_representation\": [\"2012/09/23\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/09/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/23?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1689\", \"logical_representation\": [\"2012/09/23\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Carter, Kayden. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/09/23?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for breakfast on 2012/09/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1690\", \"logical_representation\": [\"2012/09/23\", \"Kinsley, Claire, Piper, Nevaeh\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Kinsley, Claire, Piper, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Piper, Nevaeh in the late afternoon on 2012/09/23?\", \"6 minutes\"], [\"who did I talk to on 2012/09/23?\", \"Kinsley, Claire, Piper, Nevaeh\"], [\"Did I talk to Kinsley, Claire, Piper, Nevaeh on 2012/09/23?\", \"yes\"], [\"Did I talk to anyone on 2012/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/24\": {\"dinner\": {\"eid\": \"e1691\", \"logical_representation\": [\"2012/09/24\", \"dinner\", \"sushi\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1692\", \"logical_representation\": [\"2012/09/24\", \"a tv series\", \"53 minutes\"], \"text_template_based\": \"I watched a tv series for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/24?\", \"53 minutes\"], [\"what did I watch on tv on 2012/09/24?\", \"a tv series\"], [\"Did I watch tv on 2012/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/25\": {\"lunch\": {\"eid\": \"e1693\", \"logical_representation\": [\"2012/09/25\", \"lunch\", \"fish and chips\", \"Nora, Hazel, Piper, Layla, Eva, Nevaeh, Rylee, Lydia\"], \"text_template_based\": \"I had lunch with Nora, Hazel, Piper, Layla, Eva, Nevaeh, Rylee, Lydia. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/09/25?\", \"Nora, Hazel, Piper, Layla, Eva, Nevaeh, Rylee, Lydia\"], [\"what did I eat for lunch on 2012/09/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1694\", \"logical_representation\": [\"2012/09/25\", \"dinner\", \"a burger\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1695\", \"logical_representation\": [\"2012/09/25\", \"Nora, Eva, Avery, Rylee\", \"late in the evening\", \"16 minutes\"], \"text_template_based\": \"I talked to Nora, Eva, Avery, Rylee for 16 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Avery, Rylee late in the evening on 2012/09/25?\", \"16 minutes\"], [\"who did I talk to on 2012/09/25?\", \"Nora, Eva, Avery, Rylee\"], [\"Did I talk to Nora, Eva, Avery, Rylee on 2012/09/25?\", \"yes\"], [\"Did I talk to anyone on 2012/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1696\", \"logical_representation\": [\"2012/09/25\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/09/25?\", \"13 minutes\"], [\"what did I watch on tv on 2012/09/25?\", \"a movie\"], [\"Did I watch tv on 2012/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/26\": {\"exercise\": {\"eid\": \"e1697\", \"logical_representation\": [\"2012/09/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/09/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1698\", \"logical_representation\": [\"2012/09/26\", \"Piper\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Piper for 49 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2012/09/26?\", \"49 minutes\"], [\"who did I talk to on 2012/09/26?\", \"Piper\"], [\"Did I talk to Piper on 2012/09/26?\", \"yes\"], [\"Did I talk to anyone on 2012/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/28\": {\"lunch\": {\"eid\": \"e1701\", \"logical_representation\": [\"2012/09/28\", \"lunch\", \"sandwich\", \"Kinsley, Claire, Piper, Eva, Olivia, Piper\"], \"text_template_based\": \"I had lunch with Kinsley, Claire, Piper, Eva, Olivia, Piper. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/09/28?\", \"Kinsley, Claire, Piper, Eva, Olivia, Piper\"], [\"what did I eat for lunch on 2012/09/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1702\", \"logical_representation\": [\"2012/09/28\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1703\", \"logical_representation\": [\"2012/09/28\", \"Avery, Layla\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Avery, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla in the early afternoon on 2012/09/28?\", \"51 minutes\"], [\"who did I talk to on 2012/09/28?\", \"Avery, Layla\"], [\"Did I talk to Avery, Layla on 2012/09/28?\", \"yes\"], [\"Did I talk to anyone on 2012/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/29\": {\"exercise\": {\"eid\": \"e1704\", \"logical_representation\": [\"2012/09/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/09/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1705\", \"logical_representation\": [\"2012/09/29\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/09/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1706\", \"logical_representation\": [\"2012/09/29\", \"dinner\", \"sandwich\", \"Rylee, Kinsley, Hazel, Nora, Eva\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/09/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1707\", \"logical_representation\": [\"2012/09/29\", \"Eva, Piper\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Eva, Piper for 21 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper late in the evening on 2012/09/29?\", \"21 minutes\"], [\"who did I talk to on 2012/09/29?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2012/09/29?\", \"yes\"], [\"Did I talk to anyone on 2012/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/09/30\": {\"exercise\": {\"eid\": \"e1708\", \"logical_representation\": [\"2012/09/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/09/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/09/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1709\", \"logical_representation\": [\"2012/09/30\", \"breakfast\", \"oatmeal\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had oatmeal for breakfast with Benjamin, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/09/30?\", \"Benjamin, Avery, Jackson\"], [\"what did I eat for breakfast on 2012/09/30\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1710\", \"logical_representation\": [\"2012/09/30\", \"lunch\", \"sushi\", \"Avery, Jackson\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/09/30\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1711\", \"logical_representation\": [\"2012/09/30\", \"Kinsley, Nora, Eva, Layla\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora, Eva, Layla for 18 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Eva, Layla in the late afternoon on 2012/09/30?\", \"18 minutes\"], [\"who did I talk to on 2012/09/30?\", \"Kinsley, Nora, Eva, Layla\"], [\"Did I talk to Kinsley, Nora, Eva, Layla on 2012/09/30?\", \"yes\"], [\"Did I talk to anyone on 2012/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/01\": {\"exercise\": {\"eid\": \"e1712\", \"logical_representation\": [\"2012/10/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2012/10/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1713\", \"logical_representation\": [\"2012/10/01\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/10/01?\", \"7 minutes\"], [\"what did I read on 2012/10/01?\", \"social media\"], [\"Did I read on 2012/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1714\", \"logical_representation\": [\"2012/10/01\", \"a tv series\", \"41 minutes\"], \"text_template_based\": \"I watched a tv series for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/01?\", \"41 minutes\"], [\"what did I watch on tv on 2012/10/01?\", \"a tv series\"], [\"Did I watch tv on 2012/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/02\": {\"watch tv\": {\"eid\": \"e1715\", \"logical_representation\": [\"2012/10/02\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/02?\", \"49 minutes\"], [\"what did I watch on tv on 2012/10/02?\", \"a tv series\"], [\"Did I watch tv on 2012/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/04\": {\"exercise\": {\"eid\": \"e1719\", \"logical_representation\": [\"2012/10/04\", \"biking\"], \"text_template_based\": \"I did biking on 2012/10/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1720\", \"logical_representation\": [\"2012/10/04\", \"lunch\", \"tacos\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/10/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1721\", \"logical_representation\": [\"2012/10/04\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/04?\", \"39 minutes\"], [\"what did I watch on tv on 2012/10/04?\", \"a documentary\"], [\"Did I watch tv on 2012/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/05\": {\"chat0\": {\"eid\": \"e1722\", \"logical_representation\": [\"2012/10/05\", \"Kinsley, Piper, Layla\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Kinsley, Piper, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Layla in the early afternoon on 2012/10/05?\", \"8 minutes\"], [\"who did I talk to on 2012/10/05?\", \"Kinsley, Piper, Layla\"], [\"Did I talk to Kinsley, Piper, Layla on 2012/10/05?\", \"yes\"], [\"Did I talk to anyone on 2012/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1723\", \"logical_representation\": [\"2012/10/05\", \"news\", \"28 minutes\"], \"text_template_based\": \"I watched news for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/05?\", \"28 minutes\"], [\"what did I watch on tv on 2012/10/05?\", \"news\"], [\"Did I watch tv on 2012/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/08\": {\"breakfast\": {\"eid\": \"e1727\", \"logical_representation\": [\"2012/10/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/10/08?\", \"Emily\"], [\"what did I eat for breakfast on 2012/10/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1728\", \"logical_representation\": [\"2012/10/08\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/10/08?\", \"52 minutes\"], [\"what did I read on 2012/10/08?\", \"news\"], [\"Did I read on 2012/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1729\", \"logical_representation\": [\"2012/10/08\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I watched a documentary for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/08?\", \"52 minutes\"], [\"what did I watch on tv on 2012/10/08?\", \"a documentary\"], [\"Did I watch tv on 2012/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/09\": {\"dinner\": {\"eid\": \"e1730\", \"logical_representation\": [\"2012/10/09\", \"dinner\", \"steak\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had steak for dinner with Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/10/09?\", \"Benjamin, Jackson\"], [\"what did I eat for dinner on 2012/10/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1731\", \"logical_representation\": [\"2012/10/09\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/09?\", \"22 minutes\"], [\"what did I watch on tv on 2012/10/09?\", \"a movie\"], [\"Did I watch tv on 2012/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/10\": {\"exercise\": {\"eid\": \"e1732\", \"logical_representation\": [\"2012/10/10\", \"biking\"], \"text_template_based\": \"I did biking on 2012/10/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1733\", \"logical_representation\": [\"2012/10/10\", \"a movie\", \"9 minutes\"], \"text_template_based\": \"I watched a movie for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/10?\", \"9 minutes\"], [\"what did I watch on tv on 2012/10/10?\", \"a movie\"], [\"Did I watch tv on 2012/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/12\": {\"chat0\": {\"eid\": \"e1738\", \"logical_representation\": [\"2012/10/12\", \"Lydia, Rylee\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee for 51 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee during lunch hours on 2012/10/12?\", \"51 minutes\"], [\"who did I talk to on 2012/10/12?\", \"Lydia, Rylee\"], [\"Did I talk to Lydia, Rylee on 2012/10/12?\", \"yes\"], [\"Did I talk to anyone on 2012/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1739\", \"logical_representation\": [\"2012/10/12\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/10/12?\", \"29 minutes\"], [\"what did I read on 2012/10/12?\", \"a book\"], [\"Did I read on 2012/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1740\", \"logical_representation\": [\"2012/10/12\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I watched a movie for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/12?\", \"26 minutes\"], [\"what did I watch on tv on 2012/10/12?\", \"a movie\"], [\"Did I watch tv on 2012/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/13\": {\"dinner\": {\"eid\": \"e1741\", \"logical_representation\": [\"2012/10/13\", \"dinner\", \"a burger\", \"Piper, Kinsley, Claire, Nevaeh, Eva, Piper, Olivia, Lydia, Avery, Rylee, Hazel, Nora, Layla\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/10/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1742\", \"logical_representation\": [\"2012/10/13\", \"Rylee, Eva, Layla, Nora\", \"during lunch hours\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Rylee, Eva, Layla, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Layla, Nora during lunch hours on 2012/10/13?\", \"52 minutes\"], [\"who did I talk to on 2012/10/13?\", \"Rylee, Eva, Layla, Nora\"], [\"Did I talk to Rylee, Eva, Layla, Nora on 2012/10/13?\", \"yes\"], [\"Did I talk to anyone on 2012/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/15\": {\"chat0\": {\"eid\": \"e1743\", \"logical_representation\": [\"2012/10/15\", \"Piper, Rylee, Hazel, Nevaeh\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee, Hazel, Nevaeh for 5 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Hazel, Nevaeh in the morning on 2012/10/15?\", \"5 minutes\"], [\"who did I talk to on 2012/10/15?\", \"Piper, Rylee, Hazel, Nevaeh\"], [\"Did I talk to Piper, Rylee, Hazel, Nevaeh on 2012/10/15?\", \"yes\"], [\"Did I talk to anyone on 2012/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/16\": {\"lunch\": {\"eid\": \"e1744\", \"logical_representation\": [\"2012/10/16\", \"lunch\", \"indian food\", \"Hazel\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/10/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1745\", \"logical_representation\": [\"2012/10/16\", \"Nora, Hazel, Lydia, Claire\", \"in the early afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Nora, Hazel, Lydia, Claire for 50 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel, Lydia, Claire in the early afternoon on 2012/10/16?\", \"50 minutes\"], [\"who did I talk to on 2012/10/16?\", \"Nora, Hazel, Lydia, Claire\"], [\"Did I talk to Nora, Hazel, Lydia, Claire on 2012/10/16?\", \"yes\"], [\"Did I talk to anyone on 2012/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/18\": {\"exercise\": {\"eid\": \"e1746\", \"logical_representation\": [\"2012/10/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/10/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1747\", \"logical_representation\": [\"2012/10/18\", \"dinner\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I had pasta for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/10/18?\", \"Kayden\"], [\"what did I eat for dinner on 2012/10/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1748\", \"logical_representation\": [\"2012/10/18\", \"Avery\", \"in the early evening\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2012/10/18?\", \"22 minutes\"], [\"who did I talk to on 2012/10/18?\", \"Avery\"], [\"Did I talk to Avery on 2012/10/18?\", \"yes\"], [\"Did I talk to anyone on 2012/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1749\", \"logical_representation\": [\"2012/10/18\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/18?\", \"10 minutes\"], [\"what did I watch on tv on 2012/10/18?\", \"a tv series\"], [\"Did I watch tv on 2012/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/19\": {\"dinner\": {\"eid\": \"e1750\", \"logical_representation\": [\"2012/10/19\", \"dinner\", \"pasta\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/10/19\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2012/10/22\": {\"chat0\": {\"eid\": \"e1751\", \"logical_representation\": [\"2012/10/22\", \"Piper, Rylee\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Piper, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the early afternoon on 2012/10/22?\", \"44 minutes\"], [\"who did I talk to on 2012/10/22?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2012/10/22?\", \"yes\"], [\"Did I talk to anyone on 2012/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/24\": {\"read\": {\"eid\": \"e1752\", \"logical_representation\": [\"2012/10/24\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/10/24?\", \"16 minutes\"], [\"what did I read on 2012/10/24?\", \"news\"], [\"Did I read on 2012/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/25\": {\"breakfast\": {\"eid\": \"e1753\", \"logical_representation\": [\"2012/10/25\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Nora, Layla, Avery\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/10/25\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2012/10/26\": {\"read\": {\"eid\": \"e1754\", \"logical_representation\": [\"2012/10/26\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/10/26?\", \"34 minutes\"], [\"what did I read on 2012/10/26?\", \"news\"], [\"Did I read on 2012/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/27\": {\"exercise\": {\"eid\": \"e1755\", \"logical_representation\": [\"2012/10/27\", \"biking\"], \"text_template_based\": \"I did biking on 2012/10/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/27?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1756\", \"logical_representation\": [\"2012/10/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Olivia, Piper, Rylee\"], \"text_template_based\": \"I had breakfast with Olivia, Piper, Rylee. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/10/27?\", \"Olivia, Piper, Rylee\"], [\"what did I eat for breakfast on 2012/10/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2012/10/28\": {\"exercise\": {\"eid\": \"e1757\", \"logical_representation\": [\"2012/10/28\", \"biking\"], \"text_template_based\": \"I did biking on 2012/10/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1758\", \"logical_representation\": [\"2012/10/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/10/28?\", \"Avery\"], [\"what did I eat for breakfast on 2012/10/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2012/10/29\": {\"dinner\": {\"eid\": \"e1759\", \"logical_representation\": [\"2012/10/29\", \"dinner\", \"sandwich\", \"Lydia, Nora, Kinsley, Rylee, Piper, Avery, Nevaeh, Olivia, Eva, Hazel, Layla, Claire, Piper\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/10/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1760\", \"logical_representation\": [\"2012/10/29\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/10/29?\", \"42 minutes\"], [\"what did I watch on tv on 2012/10/29?\", \"news\"], [\"Did I watch tv on 2012/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/10/30\": {\"breakfast\": {\"eid\": \"e1761\", \"logical_representation\": [\"2012/10/30\", \"breakfast\", \"peanut-butter-jam\", \"Nora\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/10/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1762\", \"logical_representation\": [\"2012/10/30\", \"lunch\", \"pasta\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/10/30\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2012/10/31\": {\"exercise\": {\"eid\": \"e1763\", \"logical_representation\": [\"2012/10/31\", \"hiking\"], \"text_template_based\": \"I did hiking on 2012/10/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/10/31?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1764\", \"logical_representation\": [\"2012/10/31\", \"breakfast\", \"pancakes\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/10/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/01\": {\"dinner\": {\"eid\": \"e1765\", \"logical_representation\": [\"2012/11/01\", \"dinner\", \"pasta\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1766\", \"logical_representation\": [\"2012/11/01\", \"Nevaeh, Olivia\", \"in the early afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia for 50 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia in the early afternoon on 2012/11/01?\", \"50 minutes\"], [\"who did I talk to on 2012/11/01?\", \"Nevaeh, Olivia\"], [\"Did I talk to Nevaeh, Olivia on 2012/11/01?\", \"yes\"], [\"Did I talk to anyone on 2012/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1767\", \"logical_representation\": [\"2012/11/01\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I watched a tv series for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/01?\", \"18 minutes\"], [\"what did I watch on tv on 2012/11/01?\", \"a tv series\"], [\"Did I watch tv on 2012/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/04\": {\"lunch\": {\"eid\": \"e1770\", \"logical_representation\": [\"2012/11/04\", \"lunch\", \"sandwich\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had sandwich for lunch with Benjamin, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/11/04?\", \"Benjamin, Jackson, Willow\"], [\"what did I eat for lunch on 2012/11/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1771\", \"logical_representation\": [\"2012/11/04\", \"Nora, Olivia, Kinsley\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Nora, Olivia, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Kinsley in the early afternoon on 2012/11/04?\", \"45 minutes\"], [\"who did I talk to on 2012/11/04?\", \"Nora, Olivia, Kinsley\"], [\"Did I talk to Nora, Olivia, Kinsley on 2012/11/04?\", \"yes\"], [\"Did I talk to anyone on 2012/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1772\", \"logical_representation\": [\"2012/11/04\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/11/04?\", \"27 minutes\"], [\"what did I read on 2012/11/04?\", \"social media\"], [\"Did I read on 2012/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/05\": {\"dinner\": {\"eid\": \"e1773\", \"logical_representation\": [\"2012/11/05\", \"dinner\", \"sushi\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1774\", \"logical_representation\": [\"2012/11/05\", \"Claire, Avery, Lydia, Nevaeh\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Claire, Avery, Lydia, Nevaeh for 51 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Lydia, Nevaeh in the late afternoon on 2012/11/05?\", \"51 minutes\"], [\"who did I talk to on 2012/11/05?\", \"Claire, Avery, Lydia, Nevaeh\"], [\"Did I talk to Claire, Avery, Lydia, Nevaeh on 2012/11/05?\", \"yes\"], [\"Did I talk to anyone on 2012/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1775\", \"logical_representation\": [\"2012/11/05\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/11/05?\", \"34 minutes\"], [\"what did I read on 2012/11/05?\", \"a book\"], [\"Did I read on 2012/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/06\": {\"watch tv\": {\"eid\": \"e1776\", \"logical_representation\": [\"2012/11/06\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/06?\", \"30 minutes\"], [\"what did I watch on tv on 2012/11/06?\", \"news\"], [\"Did I watch tv on 2012/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/07\": {\"breakfast\": {\"eid\": \"e1777\", \"logical_representation\": [\"2012/11/07\", \"breakfast\", \"peanut-butter-jam\", \"Hazel, Piper\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/11/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1778\", \"logical_representation\": [\"2012/11/07\", \"lunch\", \"indian food\", \"Benjamin, Willow\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1779\", \"logical_representation\": [\"2012/11/07\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/11/07?\", \"10 minutes\"], [\"what did I read on 2012/11/07?\", \"social media\"], [\"Did I read on 2012/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/08\": {\"exercise\": {\"eid\": \"e1780\", \"logical_representation\": [\"2012/11/08\", \"running\"], \"text_template_based\": \"I did running on 2012/11/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1781\", \"logical_representation\": [\"2012/11/08\", \"lunch\", \"pasta\", \"Piper, Piper, Lydia, Avery, Claire, Layla, Olivia, Nevaeh, Rylee\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/08\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2012/11/09\": {\"breakfast\": {\"eid\": \"e1782\", \"logical_representation\": [\"2012/11/09\", \"breakfast\", \"peanut-butter-jam\", \"Willow\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/11/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2012/11/10\": {\"dinner\": {\"eid\": \"e1783\", \"logical_representation\": [\"2012/11/10\", \"dinner\", \"sushi\", \"Piper, Nora, Rylee, Layla, Claire, Avery, Nevaeh, Hazel, Piper, Lydia, Kinsley\"], \"text_template_based\": \"I had dinner with Piper, Nora, Rylee, Layla, Claire, Avery, Nevaeh, Hazel, Piper, Lydia, Kinsley. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/11/10?\", \"Piper, Nora, Rylee, Layla, Claire, Avery, Nevaeh, Hazel, Piper, Lydia, Kinsley\"], [\"what did I eat for dinner on 2012/11/10\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2012/11/11\": {\"watch tv\": {\"eid\": \"e1784\", \"logical_representation\": [\"2012/11/11\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/11?\", \"9 minutes\"], [\"what did I watch on tv on 2012/11/11?\", \"a tv series\"], [\"Did I watch tv on 2012/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/12\": {\"breakfast\": {\"eid\": \"e1785\", \"logical_representation\": [\"2012/11/12\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Carter. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/11/12?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for breakfast on 2012/11/12\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2012/11/13\": {\"exercise\": {\"eid\": \"e1786\", \"logical_representation\": [\"2012/11/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/11/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/11/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1787\", \"logical_representation\": [\"2012/11/13\", \"Piper, Nora\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper, Nora for 27 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora in the early evening on 2012/11/13?\", \"27 minutes\"], [\"who did I talk to on 2012/11/13?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2012/11/13?\", \"yes\"], [\"Did I talk to anyone on 2012/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1788\", \"logical_representation\": [\"2012/11/13\", \"news\", \"19 minutes\"], \"text_template_based\": \"I watched news for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/13?\", \"19 minutes\"], [\"what did I watch on tv on 2012/11/13?\", \"news\"], [\"Did I watch tv on 2012/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/14\": {\"breakfast\": {\"eid\": \"e1789\", \"logical_representation\": [\"2012/11/14\", \"breakfast\", \"pancakes\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/11/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1790\", \"logical_representation\": [\"2012/11/14\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/11/14?\", \"46 minutes\"], [\"what did I read on 2012/11/14?\", \"social media\"], [\"Did I read on 2012/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1791\", \"logical_representation\": [\"2012/11/14\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/14?\", \"17 minutes\"], [\"what did I watch on tv on 2012/11/14?\", \"a tv series\"], [\"Did I watch tv on 2012/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/15\": {\"dinner\": {\"eid\": \"e1792\", \"logical_representation\": [\"2012/11/15\", \"dinner\", \"tacos\", \"Olivia, Kinsley, Avery, Layla, Eva\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/15\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2012/11/16\": {\"breakfast\": {\"eid\": \"e1793\", \"logical_representation\": [\"2012/11/16\", \"breakfast\", \"oatmeal\", \"Claire, Hazel, Lydia\"], \"text_template_based\": \"I had breakfast with Claire, Hazel, Lydia. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/11/16?\", \"Claire, Hazel, Lydia\"], [\"what did I eat for breakfast on 2012/11/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1794\", \"logical_representation\": [\"2012/11/16\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/11/16?\", \"9 minutes\"], [\"what did I read on 2012/11/16?\", \"social media\"], [\"Did I read on 2012/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1795\", \"logical_representation\": [\"2012/11/16\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/16?\", \"40 minutes\"], [\"what did I watch on tv on 2012/11/16?\", \"a documentary\"], [\"Did I watch tv on 2012/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/17\": {\"breakfast\": {\"eid\": \"e1796\", \"logical_representation\": [\"2012/11/17\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/11/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1797\", \"logical_representation\": [\"2012/11/17\", \"dinner\", \"indian food\", \"Piper, Eva, Avery, Piper, Lydia, Kinsley, Nora, Hazel, Claire, Layla, Nevaeh, Rylee\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/11/17\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2012/11/20\": {\"chat0\": {\"eid\": \"e1798\", \"logical_representation\": [\"2012/11/20\", \"Layla\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Layla for 24 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2012/11/20?\", \"24 minutes\"], [\"who did I talk to on 2012/11/20?\", \"Layla\"], [\"Did I talk to Layla on 2012/11/20?\", \"yes\"], [\"Did I talk to anyone on 2012/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/22\": {\"lunch\": {\"eid\": \"e1799\", \"logical_representation\": [\"2012/11/22\", \"lunch\", \"pasta\", \"Kinsley, Olivia, Nora, Piper\"], \"text_template_based\": \"I had pasta for lunch with Kinsley, Olivia, Nora, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/11/22?\", \"Kinsley, Olivia, Nora, Piper\"], [\"what did I eat for lunch on 2012/11/22\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2012/11/23\": {\"social media\": {\"eid\": \"e1800\", \"logical_representation\": [\"2012/11/23\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/11/23?\", \"50 minutes\"], [\"what did I read on 2012/11/23?\", \"social media\"], [\"Did I read on 2012/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/26\": {\"lunch\": {\"eid\": \"e1806\", \"logical_representation\": [\"2012/11/26\", \"lunch\", \"fish and chips\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1807\", \"logical_representation\": [\"2012/11/26\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/26?\", \"41 minutes\"], [\"what did I watch on tv on 2012/11/26?\", \"a movie\"], [\"Did I watch tv on 2012/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/27\": {\"breakfast\": {\"eid\": \"e1808\", \"logical_representation\": [\"2012/11/27\", \"breakfast\", \"toast and cheese\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had breakfast with Willow, Jackson, Avery, Benjamin. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/11/27?\", \"Willow, Jackson, Avery, Benjamin\"], [\"what did I eat for breakfast on 2012/11/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2012/11/28\": {\"lunch\": {\"eid\": \"e1809\", \"logical_representation\": [\"2012/11/28\", \"lunch\", \"sandwich\", \"Kayden, Emily\"], \"text_template_based\": \"I had sandwich for lunch with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/11/28?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2012/11/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1810\", \"logical_representation\": [\"2012/11/28\", \"Hazel\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2012/11/28?\", \"32 minutes\"], [\"who did I talk to on 2012/11/28?\", \"Hazel\"], [\"Did I talk to Hazel on 2012/11/28?\", \"yes\"], [\"Did I talk to anyone on 2012/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1811\", \"logical_representation\": [\"2012/11/28\", \"a tv series\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/11/28?\", \"44 minutes\"], [\"what did I watch on tv on 2012/11/28?\", \"a tv series\"], [\"Did I watch tv on 2012/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/11/29\": {\"lunch\": {\"eid\": \"e1812\", \"logical_representation\": [\"2012/11/29\", \"lunch\", \"a burger\", \"Claire, Rylee, Piper, Nevaeh, Hazel, Olivia, Avery, Lydia, Layla, Nora, Piper\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/11/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1813\", \"logical_representation\": [\"2012/11/29\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/11/29?\", \"34 minutes\"], [\"what did I read on 2012/11/29?\", \"a book\"], [\"Did I read on 2012/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/01\": {\"dinner\": {\"eid\": \"e1816\", \"logical_representation\": [\"2012/12/01\", \"dinner\", \"tacos\", \"Willow, Jackson\"], \"text_template_based\": \"I had tacos for dinner with Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/12/01?\", \"Willow, Jackson\"], [\"what did I eat for dinner on 2012/12/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1817\", \"logical_representation\": [\"2012/12/01\", \"Avery, Piper\", \"during lunch hours\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Avery, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper during lunch hours on 2012/12/01?\", \"32 minutes\"], [\"who did I talk to on 2012/12/01?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2012/12/01?\", \"yes\"], [\"Did I talk to anyone on 2012/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1818\", \"logical_representation\": [\"2012/12/01\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/01?\", \"41 minutes\"], [\"what did I watch on tv on 2012/12/01?\", \"a movie\"], [\"Did I watch tv on 2012/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/05\": {\"breakfast\": {\"eid\": \"e1819\", \"logical_representation\": [\"2012/12/05\", \"breakfast\", \"cereals\", \"Claire, Hazel, Lydia, Avery, Layla, Nora, Eva\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/05\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2012/12/06\": {\"lunch\": {\"eid\": \"e1820\", \"logical_representation\": [\"2012/12/06\", \"lunch\", \"sushi\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I had sushi for lunch with Benjamin, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/12/06?\", \"Benjamin, Willow, Avery\"], [\"what did I eat for lunch on 2012/12/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1821\", \"logical_representation\": [\"2012/12/06\", \"dinner\", \"pasta\", \"Avery, Piper, Kinsley, Lydia, Nora, Piper, Layla, Rylee, Olivia\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/06\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2012/12/08\": {\"chat0\": {\"eid\": \"e1822\", \"logical_representation\": [\"2012/12/08\", \"Lydia, Rylee\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee for 52 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee in the morning on 2012/12/08?\", \"52 minutes\"], [\"who did I talk to on 2012/12/08?\", \"Lydia, Rylee\"], [\"Did I talk to Lydia, Rylee on 2012/12/08?\", \"yes\"], [\"Did I talk to anyone on 2012/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1823\", \"logical_representation\": [\"2012/12/08\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I watched a movie for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/08?\", \"17 minutes\"], [\"what did I watch on tv on 2012/12/08?\", \"a movie\"], [\"Did I watch tv on 2012/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/09\": {\"breakfast\": {\"eid\": \"e1824\", \"logical_representation\": [\"2012/12/09\", \"breakfast\", \"pancakes\", \"Olivia, Nevaeh, Piper, Claire, Kinsley, Nora, Hazel, Rylee\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1825\", \"logical_representation\": [\"2012/12/09\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/09?\", \"53 minutes\"], [\"what did I watch on tv on 2012/12/09?\", \"a documentary\"], [\"Did I watch tv on 2012/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/10\": {\"exercise\": {\"eid\": \"e1826\", \"logical_representation\": [\"2012/12/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2012/12/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2012/12/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1827\", \"logical_representation\": [\"2012/12/10\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/10?\", \"17 minutes\"], [\"what did I watch on tv on 2012/12/10?\", \"a tv series\"], [\"Did I watch tv on 2012/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/12\": {\"chat0\": {\"eid\": \"e1830\", \"logical_representation\": [\"2012/12/12\", \"Nevaeh\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh during lunch hours on 2012/12/12?\", \"54 minutes\"], [\"who did I talk to on 2012/12/12?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2012/12/12?\", \"yes\"], [\"Did I talk to anyone on 2012/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1831\", \"logical_representation\": [\"2012/12/12\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/12?\", \"40 minutes\"], [\"what did I watch on tv on 2012/12/12?\", \"a documentary\"], [\"Did I watch tv on 2012/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/13\": {\"breakfast\": {\"eid\": \"e1832\", \"logical_representation\": [\"2012/12/13\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2012/12/14\": {\"dinner\": {\"eid\": \"e1833\", \"logical_representation\": [\"2012/12/14\", \"dinner\", \"pasta\", \"Willow, Jackson\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1834\", \"logical_representation\": [\"2012/12/14\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/12/14?\", \"40 minutes\"], [\"what did I read on 2012/12/14?\", \"social media\"], [\"Did I read on 2012/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/15\": {\"breakfast\": {\"eid\": \"e1835\", \"logical_representation\": [\"2012/12/15\", \"breakfast\", \"oatmeal\", \"Claire\"], \"text_template_based\": \"I had oatmeal for breakfast with Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/12/15?\", \"Claire\"], [\"what did I eat for breakfast on 2012/12/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1836\", \"logical_representation\": [\"2012/12/15\", \"lunch\", \"steak\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2012/12/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1837\", \"logical_representation\": [\"2012/12/15\", \"dinner\", \"tacos\", \"Emily, Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2012/12/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1838\", \"logical_representation\": [\"2012/12/15\", \"Claire, Eva\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Claire, Eva for 34 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva in the late afternoon on 2012/12/15?\", \"34 minutes\"], [\"who did I talk to on 2012/12/15?\", \"Claire, Eva\"], [\"Did I talk to Claire, Eva on 2012/12/15?\", \"yes\"], [\"Did I talk to anyone on 2012/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1839\", \"logical_representation\": [\"2012/12/15\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/12/15?\", \"40 minutes\"], [\"what did I read on 2012/12/15?\", \"social media\"], [\"Did I read on 2012/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/16\": {\"lunch\": {\"eid\": \"e1840\", \"logical_representation\": [\"2012/12/16\", \"lunch\", \"tacos\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had tacos for lunch with Emily, Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/12/16?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2012/12/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1841\", \"logical_representation\": [\"2012/12/16\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2012/12/16?\", \"30 minutes\"], [\"what did I read on 2012/12/16?\", \"social media\"], [\"Did I read on 2012/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1842\", \"logical_representation\": [\"2012/12/16\", \"a documentary\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/16?\", \"15 minutes\"], [\"what did I watch on tv on 2012/12/16?\", \"a documentary\"], [\"Did I watch tv on 2012/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/17\": {\"read\": {\"eid\": \"e1843\", \"logical_representation\": [\"2012/12/17\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2012/12/17?\", \"49 minutes\"], [\"what did I read on 2012/12/17?\", \"a book\"], [\"Did I read on 2012/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/18\": {\"breakfast\": {\"eid\": \"e1844\", \"logical_representation\": [\"2012/12/18\", \"breakfast\", \"pancakes\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had breakfast with Kayden, Emily, Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/12/18?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for breakfast on 2012/12/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1845\", \"logical_representation\": [\"2012/12/18\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/12/18?\", \"24 minutes\"], [\"what did I read on 2012/12/18?\", \"news\"], [\"Did I read on 2012/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1846\", \"logical_representation\": [\"2012/12/18\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I watched a movie for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/18?\", \"29 minutes\"], [\"what did I watch on tv on 2012/12/18?\", \"a movie\"], [\"Did I watch tv on 2012/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/21\": {\"chat0\": {\"eid\": \"e1849\", \"logical_representation\": [\"2012/12/21\", \"Nora, Hazel\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Nora, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel in the early evening on 2012/12/21?\", \"20 minutes\"], [\"who did I talk to on 2012/12/21?\", \"Nora, Hazel\"], [\"Did I talk to Nora, Hazel on 2012/12/21?\", \"yes\"], [\"Did I talk to anyone on 2012/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1850\", \"logical_representation\": [\"2012/12/21\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/21?\", \"32 minutes\"], [\"what did I watch on tv on 2012/12/21?\", \"a tv series\"], [\"Did I watch tv on 2012/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/22\": {\"chat0\": {\"eid\": \"e1851\", \"logical_representation\": [\"2012/12/22\", \"Kinsley\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Kinsley for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the morning on 2012/12/22?\", \"32 minutes\"], [\"who did I talk to on 2012/12/22?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2012/12/22?\", \"yes\"], [\"Did I talk to anyone on 2012/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/24\": {\"dinner\": {\"eid\": \"e1852\", \"logical_representation\": [\"2012/12/24\", \"dinner\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had indian food for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/12/24?\", \"Andrew\"], [\"what did I eat for dinner on 2012/12/24\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2012/12/25\": {\"read\": {\"eid\": \"e1853\", \"logical_representation\": [\"2012/12/25\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2012/12/25?\", \"29 minutes\"], [\"what did I read on 2012/12/25?\", \"news\"], [\"Did I read on 2012/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/26\": {\"lunch\": {\"eid\": \"e1854\", \"logical_representation\": [\"2012/12/26\", \"lunch\", \"fish and chips\", \"Avery\"], \"text_template_based\": \"I had fish and chips for lunch with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2012/12/26?\", \"Avery\"], [\"what did I eat for lunch on 2012/12/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2012/12/27\": {\"breakfast\": {\"eid\": \"e1855\", \"logical_representation\": [\"2012/12/27\", \"breakfast\", \"toast and cheese\", \"Willow\"], \"text_template_based\": \"I had breakfast with Willow. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/12/27?\", \"Willow\"], [\"what did I eat for breakfast on 2012/12/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1856\", \"logical_representation\": [\"2012/12/27\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I watched a tv series for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/27?\", \"27 minutes\"], [\"what did I watch on tv on 2012/12/27?\", \"a tv series\"], [\"Did I watch tv on 2012/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/28\": {\"chat0\": {\"eid\": \"e1857\", \"logical_representation\": [\"2012/12/28\", \"Eva\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I talked to Eva for 19 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the morning on 2012/12/28?\", \"19 minutes\"], [\"who did I talk to on 2012/12/28?\", \"Eva\"], [\"Did I talk to Eva on 2012/12/28?\", \"yes\"], [\"Did I talk to anyone on 2012/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1858\", \"logical_representation\": [\"2012/12/28\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I watched a documentary for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/28?\", \"39 minutes\"], [\"what did I watch on tv on 2012/12/28?\", \"a documentary\"], [\"Did I watch tv on 2012/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/30\": {\"breakfast\": {\"eid\": \"e1862\", \"logical_representation\": [\"2012/12/30\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2012/12/30?\", \"Benjamin\"], [\"what did I eat for breakfast on 2012/12/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1863\", \"logical_representation\": [\"2012/12/30\", \"Lydia, Hazel\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Lydia, Hazel for 45 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel in the late afternoon on 2012/12/30?\", \"45 minutes\"], [\"who did I talk to on 2012/12/30?\", \"Lydia, Hazel\"], [\"Did I talk to Lydia, Hazel on 2012/12/30?\", \"yes\"], [\"Did I talk to anyone on 2012/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1864\", \"logical_representation\": [\"2012/12/30\", \"a tv series\", \"44 minutes\"], \"text_template_based\": \"I watched a tv series for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2012/12/30?\", \"44 minutes\"], [\"what did I watch on tv on 2012/12/30?\", \"a tv series\"], [\"Did I watch tv on 2012/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2012/12/31\": {\"breakfast\": {\"eid\": \"e1865\", \"logical_representation\": [\"2012/12/31\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2012/12/31\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1866\", \"logical_representation\": [\"2012/12/31\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2012/12/31?\", \"Emily\"], [\"what did I eat for dinner on 2012/12/31\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2013/02/06\": {\"travel\": {\"eid\": \"e1867\", \"logical_representation\": [\"2013/02/06\", \"2013/02/19\", [\"Emily\", \"Carter\"], \"Philadelphia, US\"], \"text_template_based\": \"On 2013/02/06 Emily, Carter and I went to Philadelphia, US together for 13 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Philadelphia, US on 2013/02/06?\", \"Emily, Carter\"], [\"who did I go with to Philadelphia, US?\", \"Emily, Carter\"], [\"where did I go on 2013/02/06?\", \"Philadelphia, US\"], [\"when did I go to Philadelphia, US?\", \"2013/02/06\"], [\"when did I go to Philadelphia, US with Emily, Carter ?\", \"2013/02/06\"], [\"How long did I stay in Philadelphia, US?\", \"13\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2005\", \"logical_representation\": [\"2013/02/06\", \"news\", \"36 minutes\"], \"text_template_based\": \"I watched news for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/06?\", \"36 minutes\"], [\"what did I watch on tv on 2013/02/06?\", \"news\"], [\"Did I watch tv on 2013/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/07\": {\"places_visited\": {\"eid\": \"e1868\", \"logical_representation\": [\"2013/02/07\", [\"Emily\", \"Carter\"], \"Philadelphia Museum of Art\", \"took a group photo\", \"special\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Philadelphia Museum of Art on 2013/02 with Emily, Carter.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2013/02\", \"Philadelphia Museum of Art\"], [\"when did I visit Philadelphia Museum of Art during my trip to Philadelphia, US\", \"2013/02/07\"], [\"when did I visit Philadelphia Museum of Art \", \"2013/02/07\"], [\"who went with me to visit Philadelphia Museum of Art ?\", \"Emily, Carter\"], [\"who went with me to visit Philadelphia Museum of Art during my trip to Philadelphia, US on 2013/02?\", \"Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e1873\", \"logical_representation\": [\"2013/02/07\", [\"Emily\", \"Carter\"], \"street food\", \"Wokworks City Hall Food Cart\"], \"text_template_based\": \"I ate street food at Wokworks City Hall Food Cart with Emily, Carter on  2013/02/07 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat street food with at Wokworks City Hall Food Cart ?\", \"Emily, Carter\"], [\"who did I eat street food with?\", \"Emily, Carter\"], [\"where did we eat street food during our trip to Philadelphia, US on  2013/02/07?\", \"Wokworks City Hall Food Cart\"], [\"when did we eat street food at Wokworks City Hall Food Cart during our trip to Philadelphia, US?\", \"2013/02/07\"], [\"when did we eat at Wokworks City Hall Food Cart?\", \"2013/02/07\"], [\"when did we eat street food?\", \"2013/02/07\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2006\", \"logical_representation\": [\"2013/02/07\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/02/07?\", \"19 minutes\"], [\"what did I read on 2013/02/07?\", \"news\"], [\"Did I read on 2013/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/08\": {\"places_visited\": {\"eid\": \"e1869\", \"logical_representation\": [\"2013/02/08\", [\"Emily\", \"Carter\"], \"Liberty Bell\", \"bought some souvenirs\", \"special\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Liberty Bell on 2013/02 with Emily, Carter.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2013/02\", \"Liberty Bell\"], [\"when did I visit Liberty Bell during my trip to Philadelphia, US\", \"2013/02/08\"], [\"when did I visit Liberty Bell \", \"2013/02/08\"], [\"who went with me to visit Liberty Bell ?\", \"Emily, Carter\"], [\"who went with me to visit Liberty Bell during my trip to Philadelphia, US on 2013/02?\", \"Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e1874\", \"logical_representation\": [\"2013/02/08\", [\"Emily\", \"Carter\"], \"Japanese food\", \"South Street Diner\"], \"text_template_based\": \"I ate Japanese food at South Street Diner with Emily, Carter on  2013/02/08 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at South Street Diner ?\", \"Emily, Carter\"], [\"who did I eat Japanese food with?\", \"Emily, Carter\"], [\"where did we eat Japanese food during our trip to Philadelphia, US on  2013/02/08?\", \"South Street Diner\"], [\"when did we eat Japanese food at South Street Diner during our trip to Philadelphia, US?\", \"2013/02/08\"], [\"when did we eat at South Street Diner?\", \"2013/02/08\"], [\"when did we eat Japanese food?\", \"2013/02/08\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2007\", \"logical_representation\": [\"2013/02/08\", \"dinner\", \"pasta\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had pasta for dinner with Benjamin, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/02/08?\", \"Benjamin, Jackson, Avery\"], [\"what did I eat for dinner on 2013/02/08\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2013/02/09\": {\"places_visited\": {\"eid\": \"e1870\", \"logical_representation\": [\"2013/02/09\", [\"Emily\", \"Carter\"], \"Carnaval\", \"recorded some videos\", \"happy\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Carnaval on 2013/02 with Emily, Carter.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2013/02\", \"Carnaval\"], [\"when did I visit Carnaval during my trip to Philadelphia, US\", \"2013/02/09\"], [\"when did I visit Carnaval \", \"2013/02/09\"], [\"who went with me to visit Carnaval ?\", \"Emily, Carter\"], [\"who went with me to visit Carnaval during my trip to Philadelphia, US on 2013/02?\", \"Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e1875\", \"logical_representation\": [\"2013/02/09\", [\"Emily\", \"Carter\"], \"Chinese food\", \"Wood Street Pizza\"], \"text_template_based\": \"I ate Chinese food at Wood Street Pizza with Emily, Carter on  2013/02/09 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Wood Street Pizza ?\", \"Emily, Carter\"], [\"who did I eat Chinese food with?\", \"Emily, Carter\"], [\"where did we eat Chinese food during our trip to Philadelphia, US on  2013/02/09?\", \"Wood Street Pizza\"], [\"when did we eat Chinese food at Wood Street Pizza during our trip to Philadelphia, US?\", \"2013/02/09\"], [\"when did we eat at Wood Street Pizza?\", \"2013/02/09\"], [\"when did we eat Chinese food?\", \"2013/02/09\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2008\", \"logical_representation\": [\"2013/02/09\", \"lunch\", \"steak\", \"Lydia, Avery, Piper, Piper, Nevaeh, Claire, Layla, Hazel, Eva, Kinsley\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/02/09\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2013/02/10\": {\"places_visited\": {\"eid\": \"e1871\", \"logical_representation\": [\"2013/02/10\", [\"Emily\", \"Carter\"], \"Ipanema\", \"recorded some videos\", \"happy\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Ipanema on 2013/02 with Emily, Carter.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2013/02\", \"Ipanema\"], [\"when did I visit Ipanema during my trip to Philadelphia, US\", \"2013/02/10\"], [\"when did I visit Ipanema \", \"2013/02/10\"], [\"who went with me to visit Ipanema ?\", \"Emily, Carter\"], [\"who went with me to visit Ipanema during my trip to Philadelphia, US on 2013/02?\", \"Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2009\", \"logical_representation\": [\"2013/02/10\", \"Claire, Layla, Nora, Avery\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Claire, Layla, Nora, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla, Nora, Avery in the late afternoon on 2013/02/10?\", \"41 minutes\"], [\"who did I talk to on 2013/02/10?\", \"Claire, Layla, Nora, Avery\"], [\"Did I talk to Claire, Layla, Nora, Avery on 2013/02/10?\", \"yes\"], [\"Did I talk to anyone on 2013/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/11\": {\"places_visited\": {\"eid\": \"e1872\", \"logical_representation\": [\"2013/02/11\", [\"Emily\", \"Carter\"], \"Independence Hall\", \"took a group photo\", \"happy\"], \"text_template_based\": \"During my trip to Philadelphia, US, I visited Independence Hall on 2013/02 with Emily, Carter.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Philadelphia, US on 2013/02\", \"Independence Hall\"], [\"when did I visit Independence Hall during my trip to Philadelphia, US\", \"2013/02/11\"], [\"when did I visit Independence Hall \", \"2013/02/11\"], [\"who went with me to visit Independence Hall ?\", \"Emily, Carter\"], [\"who went with me to visit Independence Hall during my trip to Philadelphia, US on 2013/02?\", \"Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e1876\", \"logical_representation\": [\"2013/02/11\", [\"Emily\", \"Carter\"], \"Chinese food\", \"High Street Philly\"], \"text_template_based\": \"I ate Chinese food at High Street Philly with Emily, Carter on  2013/02/11 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at High Street Philly ?\", \"Emily, Carter\"], [\"who did I eat Chinese food with?\", \"Emily, Carter\"], [\"where did we eat Chinese food during our trip to Philadelphia, US on  2013/02/11?\", \"High Street Philly\"], [\"when did we eat Chinese food at High Street Philly during our trip to Philadelphia, US?\", \"2013/02/11\"], [\"when did we eat at High Street Philly?\", \"2013/02/11\"], [\"when did we eat Chinese food?\", \"2013/02/11\"]], \"multihop_qa_pairs\": []}}, \"2013/02/12\": {\"dining\": {\"eid\": \"e1877\", \"logical_representation\": [\"2013/02/12\", [\"Emily\", \"Carter\"], \"Japanese food\", \"Lunch Street\"], \"text_template_based\": \"I ate Japanese food at Lunch Street with Emily, Carter on  2013/02/12 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Lunch Street ?\", \"Emily, Carter\"], [\"who did I eat Japanese food with?\", \"Emily, Carter\"], [\"where did we eat Japanese food during our trip to Philadelphia, US on  2013/02/12?\", \"Lunch Street\"], [\"when did we eat Japanese food at Lunch Street during our trip to Philadelphia, US?\", \"2013/02/12\"], [\"when did we eat at Lunch Street?\", \"2013/02/12\"], [\"when did we eat Japanese food?\", \"2013/02/12\"]], \"multihop_qa_pairs\": []}}, \"2013/02/13\": {\"dining\": {\"eid\": \"e1878\", \"logical_representation\": [\"2013/02/13\", [\"Emily\", \"Carter\"], \"street food\", \"Wood Street Pizza\"], \"text_template_based\": \"I ate street food at Wood Street Pizza with Emily, Carter on  2013/02/13 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat street food with at Wood Street Pizza ?\", \"Emily, Carter\"], [\"who did I eat street food with?\", \"Emily, Carter\"], [\"where did we eat street food during our trip to Philadelphia, US on  2013/02/13?\", \"Wood Street Pizza\"], [\"when did we eat street food at Wood Street Pizza during our trip to Philadelphia, US?\", \"2013/02/13\"], [\"when did we eat at Wood Street Pizza?\", \"2013/02/13\"], [\"when did we eat street food?\", \"2013/02/13\"]], \"multihop_qa_pairs\": []}}, \"2013/02/14\": {\"dining\": {\"eid\": \"e1879\", \"logical_representation\": [\"2013/02/14\", [\"Emily\", \"Carter\"], \"Italian food\", \"Wokworks City Hall Food Cart\"], \"text_template_based\": \"I ate Italian food at Wokworks City Hall Food Cart with Emily, Carter on  2013/02/14 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Wokworks City Hall Food Cart ?\", \"Emily, Carter\"], [\"who did I eat Italian food with?\", \"Emily, Carter\"], [\"where did we eat Italian food during our trip to Philadelphia, US on  2013/02/14?\", \"Wokworks City Hall Food Cart\"], [\"when did we eat Italian food at Wokworks City Hall Food Cart during our trip to Philadelphia, US?\", \"2013/02/14\"], [\"when did we eat at Wokworks City Hall Food Cart?\", \"2013/02/14\"], [\"when did we eat Italian food?\", \"2013/02/14\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2010\", \"logical_representation\": [\"2013/02/14\", \"dinner\", \"chinese food\", \"Avery, Willow\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/02/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2013/02/15\": {\"dining\": {\"eid\": \"e1880\", \"logical_representation\": [\"2013/02/15\", [\"Emily\", \"Carter\"], \"street food\", \"South Street Diner\"], \"text_template_based\": \"I ate street food at South Street Diner with Emily, Carter on  2013/02/15 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat street food with at South Street Diner ?\", \"Emily, Carter\"], [\"who did I eat street food with?\", \"Emily, Carter\"], [\"where did we eat street food during our trip to Philadelphia, US on  2013/02/15?\", \"South Street Diner\"], [\"when did we eat street food at South Street Diner during our trip to Philadelphia, US?\", \"2013/02/15\"], [\"when did we eat at South Street Diner?\", \"2013/02/15\"], [\"when did we eat street food?\", \"2013/02/15\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2011\", \"logical_representation\": [\"2013/02/15\", \"Claire, Eva\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Claire, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva in the early afternoon on 2013/02/15?\", \"12 minutes\"], [\"who did I talk to on 2013/02/15?\", \"Claire, Eva\"], [\"Did I talk to Claire, Eva on 2013/02/15?\", \"yes\"], [\"Did I talk to anyone on 2013/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/17\": {\"dining\": {\"eid\": \"e1881\", \"logical_representation\": [\"2013/02/17\", [\"Emily\", \"Carter\"], \"Indian food\", \"South Street Diner\"], \"text_template_based\": \"I ate Indian food at South Street Diner with Emily, Carter on  2013/02/17 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at South Street Diner ?\", \"Emily, Carter\"], [\"who did I eat Indian food with?\", \"Emily, Carter\"], [\"where did we eat Indian food during our trip to Philadelphia, US on  2013/02/17?\", \"South Street Diner\"], [\"when did we eat Indian food at South Street Diner during our trip to Philadelphia, US?\", \"2013/02/17\"], [\"when did we eat at South Street Diner?\", \"2013/02/17\"], [\"when did we eat Indian food?\", \"2013/02/17\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2012\", \"logical_representation\": [\"2013/02/17\", \"lunch\", \"a burger\", \"Piper, Kinsley\"], \"text_template_based\": \"I had a burger for lunch with Piper, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/02/17?\", \"Piper, Kinsley\"], [\"what did I eat for lunch on 2013/02/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2013\", \"logical_representation\": [\"2013/02/17\", \"a documentary\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/17?\", \"12 minutes\"], [\"what did I watch on tv on 2013/02/17?\", \"a documentary\"], [\"Did I watch tv on 2013/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/18\": {\"dining\": {\"eid\": \"e1882\", \"logical_representation\": [\"2013/02/18\", [\"Emily\", \"Carter\"], \"Chinese food\", \"Wood Street Pizza\"], \"text_template_based\": \"I ate Chinese food at Wood Street Pizza with Emily, Carter on  2013/02/18 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Wood Street Pizza ?\", \"Emily, Carter\"], [\"who did I eat Chinese food with?\", \"Emily, Carter\"], [\"where did we eat Chinese food during our trip to Philadelphia, US on  2013/02/18?\", \"Wood Street Pizza\"], [\"when did we eat Chinese food at Wood Street Pizza during our trip to Philadelphia, US?\", \"2013/02/18\"], [\"when did we eat at Wood Street Pizza?\", \"2013/02/18\"], [\"when did we eat Chinese food?\", \"2013/02/18\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e1894\", \"logical_representation\": [\"2013/02/18\", \"Chloe\", \"a park\"], \"text_template_based\": \"I went on a date with Chloe on 2013/02/18 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/02/18\", \"Chloe\"], [\"where did I go for the date on 2013/02/18\", \"a park\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2014\", \"logical_representation\": [\"2013/02/18\", \"Avery\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2013/02/18?\", \"39 minutes\"], [\"who did I talk to on 2013/02/18?\", \"Avery\"], [\"Did I talk to Avery on 2013/02/18?\", \"yes\"], [\"Did I talk to anyone on 2013/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/19\": {\"dining\": {\"eid\": \"e1883\", \"logical_representation\": [\"2013/02/19\", [\"Emily\", \"Carter\"], \"Chinese food\", \"Lunch Street\"], \"text_template_based\": \"I ate Chinese food at Lunch Street with Emily, Carter on  2013/02/19 when I was in Philadelphia, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Lunch Street ?\", \"Emily, Carter\"], [\"who did I eat Chinese food with?\", \"Emily, Carter\"], [\"where did we eat Chinese food during our trip to Philadelphia, US on  2013/02/19?\", \"Lunch Street\"], [\"when did we eat Chinese food at Lunch Street during our trip to Philadelphia, US?\", \"2013/02/19\"], [\"when did we eat at Lunch Street?\", \"2013/02/19\"], [\"when did we eat Chinese food?\", \"2013/02/19\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2015\", \"logical_representation\": [\"2013/02/19\", \"breakfast\", \"pancakes\", \"Avery\"], \"text_template_based\": \"I had pancakes for breakfast with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/02/19?\", \"Avery\"], [\"what did I eat for breakfast on 2013/02/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2016\", \"logical_representation\": [\"2013/02/19\", \"dinner\", \"chinese food\", \"Carter, Andrew\"], \"text_template_based\": \"I had chinese food for dinner with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/02/19?\", \"Carter, Andrew\"], [\"what did I eat for dinner on 2013/02/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2017\", \"logical_representation\": [\"2013/02/19\", \"Piper, Layla, Rylee, Hazel\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Piper, Layla, Rylee, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Rylee, Hazel in the early afternoon on 2013/02/19?\", \"44 minutes\"], [\"who did I talk to on 2013/02/19?\", \"Piper, Layla, Rylee, Hazel\"], [\"Did I talk to Piper, Layla, Rylee, Hazel on 2013/02/19?\", \"yes\"], [\"Did I talk to anyone on 2013/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/27\": {\"personal_medical_care\": {\"eid\": \"e1884\", \"logical_representation\": [\"2013/06/27\", \"I went for an annual physical checkup on 2013/06/27 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual physical checkup on 2013/06/27 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual physical checkup in 2013?\", \"2013/06/27\"], [\"where did I go for an annual physical checkup on 2013/06/27\", \"university hospital\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2234\", \"logical_representation\": [\"2013/06/27\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/06/27?\", \"54 minutes\"], [\"what did I read on 2013/06/27?\", \"social media\"], [\"Did I read on 2013/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/20\": {\"personal_medical_care\": {\"eid\": \"e1885\", \"logical_representation\": [\"2013/11/20\", \"I went for an annual dental cleaning and checkup on 2013/11/20 at the hospital.\", \"hospital\"], \"text_template_based\": \"I went for an annual dental cleaning and checkup on 2013/11/20 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual dental cleaning and checkup in 2013?\", \"2013/11/20\"], [\"where did I go for an annual dental cleaning and checkup on 2013/11/20\", \"hospital\"]], \"multihop_qa_pairs\": []}}, \"2013/07/17\": {\"parent_medical_care\": {\"eid\": \"e1886\", \"logical_representation\": [\"2013/07/17\", \"I took my parents for their for an annual physical checkup on 2013/07/17 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I took my parents for their for an annual physical checkup on 2013/07/17 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2013?\", \"2013/07/17\"], [\"what did I do on 2013/07/17\", \"I took my parents for their for an annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2264\", \"logical_representation\": [\"2013/07/17\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/17?\", \"14 minutes\"], [\"what did I watch on tv on 2013/07/17?\", \"a movie\"], [\"Did I watch tv on 2013/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/14\": {\"grocery\": {\"eid\": \"e1887\", \"logical_representation\": [\"2013/01/14\", \"I went grocery shopping with Andrew, Carter, Emily, Kayden. I bought some raspberries, bananas, apples, soda, guava juice, milk, mango juice, and mouth wash\", \"raspberries, bananas, apples\", \"soda, guava juice, milk, mango juice\", \"mouth wash\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I went grocery shopping with Andrew, Carter, Emily, Kayden. I bought some raspberries, bananas, apples, soda, guava juice, milk, mango juice, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/01/14?\", \"raspberries, bananas, apples, soda, guava juice, milk, mango juice, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2013/01/14?\", \"raspberries, bananas, apples\"], [\"what drinks did I buy from the grocery store on 2013/01/14?\", \"soda, guava juice, milk, mango juice\"], [\"what toiletries did I buy from the grocery store on 2013/01/14?\", \"mouth wash\"], [\"who was with me at the grocery store on 2013/01/14?\", \"Andrew, Carter, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1976\", \"logical_representation\": [\"2013/01/14\", \"dinner\", \"chinese food\", \"Piper, Rylee, Olivia\"], \"text_template_based\": \"I had chinese food for dinner with Piper, Rylee, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/01/14?\", \"Piper, Rylee, Olivia\"], [\"what did I eat for dinner on 2013/01/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1977\", \"logical_representation\": [\"2013/01/14\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/01/14?\", \"26 minutes\"], [\"what did I read on 2013/01/14?\", \"social media\"], [\"Did I read on 2013/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/20\": {\"dating\": {\"eid\": \"e1888\", \"logical_representation\": [\"2013/01/20\", \"Leo\", \"a park\"], \"text_template_based\": \"I went on a date with Leo on 2013/01/20 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/01/20\", \"Leo\"], [\"where did I go for the date on 2013/01/20\", \"a park\"]], \"multihop_qa_pairs\": []}}, \"2013/01/19\": {\"grocery\": {\"eid\": \"e1889\", \"logical_representation\": [\"2013/01/19\", \"I bought some nectarines, milk, coffee, mouth wash, shampoo from the grocery store. I saw Jackson, Benjamin at the grocery store.\", \"nectarines\", \"milk, coffee\", \"mouth wash, shampoo\", \"Jackson, Benjamin\"], \"text_template_based\": \"I bought some nectarines, milk, coffee, mouth wash, shampoo from the grocery store. I saw Jackson, Benjamin at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/01/19?\", \"nectarines, milk, coffee, and mouth wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2013/01/19?\", \"nectarines\"], [\"what drinks did I buy from the grocery store on 2013/01/19?\", \"milk, coffee\"], [\"what toiletries did I buy from the grocery store on 2013/01/19?\", \"mouth wash, shampoo\"], [\"who did I see at the grocery store on 2013/01/19?\", \"Jackson, Benjamin\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1986\", \"logical_representation\": [\"2013/01/19\", \"lunch\", \"steak\", \"Claire, Eva, Piper, Lydia, Layla, Kinsley, Hazel, Avery, Nevaeh\"], \"text_template_based\": \"I had steak for lunch with Claire, Eva, Piper, Lydia, Layla, Kinsley, Hazel, Avery, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/01/19?\", \"Claire, Eva, Piper, Lydia, Layla, Kinsley, Hazel, Avery, Nevaeh\"], [\"what did I eat for lunch on 2013/01/19\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2013/01/27\": {\"dating\": {\"eid\": \"e1890\", \"logical_representation\": [\"2013/01/27\", \"Caleb\", \"a coffee Shop\"], \"text_template_based\": \"On 2013/01/27, I took Caleb on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/01/27\", \"Caleb\"], [\"where did I go for the date on 2013/01/27\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1991\", \"logical_representation\": [\"2013/01/27\", \"Hazel, Olivia, Lydia, Piper\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Hazel, Olivia, Lydia, Piper for 52 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia, Lydia, Piper in the early evening on 2013/01/27?\", \"52 minutes\"], [\"who did I talk to on 2013/01/27?\", \"Hazel, Olivia, Lydia, Piper\"], [\"Did I talk to Hazel, Olivia, Lydia, Piper on 2013/01/27?\", \"yes\"], [\"Did I talk to anyone on 2013/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/30\": {\"grocery\": {\"eid\": \"e1891\", \"logical_representation\": [\"2013/01/30\", \"I went grocery shopping with Rylee, Lydia, Kinsley, Nevaeh, Piper, Piper, Avery, Olivia, Hazel, Layla, Eva, Nora, Claire. I bought some raspberries, blueberries, cherres, oranges, apple juice, and mouth wash\", \"raspberries, blueberries, cherres, oranges\", \"apple juice\", \"mouth wash\", \"Rylee, Lydia, Kinsley, Nevaeh, Piper, Piper, Avery, Olivia, Hazel, Layla, Eva, Nora, Claire\"], \"text_template_based\": \"I went grocery shopping with Rylee, Lydia, Kinsley, Nevaeh, Piper, Piper, Avery, Olivia, Hazel, Layla, Eva, Nora, Claire. I bought some raspberries, blueberries, cherres, oranges, apple juice, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/01/30?\", \"raspberries, blueberries, cherres, oranges, apple juice, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2013/01/30?\", \"raspberries, blueberries, cherres, oranges\"], [\"what drinks did I buy from the grocery store on 2013/01/30?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2013/01/30?\", \"mouth wash\"], [\"who was with me at the grocery store on 2013/01/30?\", \"Rylee, Lydia, Kinsley, Nevaeh, Piper, Piper, Avery, Olivia, Hazel, Layla, Eva, Nora, Claire\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1994\", \"logical_representation\": [\"2013/01/30\", \"dinner\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/01/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1995\", \"logical_representation\": [\"2013/01/30\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/01/30?\", \"8 minutes\"], [\"what did I read on 2013/01/30?\", \"a book\"], [\"Did I read on 2013/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1996\", \"logical_representation\": [\"2013/01/30\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I watched a documentary for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/30?\", \"53 minutes\"], [\"what did I watch on tv on 2013/01/30?\", \"a documentary\"], [\"Did I watch tv on 2013/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/02\": {\"grocery\": {\"eid\": \"e1892\", \"logical_representation\": [\"2013/02/02\", \"I went grocery shopping with Carter, Emily, Kayden. I bought some mandarins, nectarines, coffee, and conditioner\", \"mandarins, nectarines\", \"coffee\", \"conditioner\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I went grocery shopping with Carter, Emily, Kayden. I bought some mandarins, nectarines, coffee, and conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/02/02?\", \"mandarins, nectarines, coffee, and conditioner\"], [\"what fruits did I buy from the grocery store on 2013/02/02?\", \"mandarins, nectarines\"], [\"what drinks did I buy from the grocery store on 2013/02/02?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2013/02/02?\", \"conditioner\"], [\"who was with me at the grocery store on 2013/02/02?\", \"Carter, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2000\", \"logical_representation\": [\"2013/02/02\", \"lunch\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/02/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2001\", \"logical_representation\": [\"2013/02/02\", \"dinner\", \"pasta\", \"Eva, Avery, Olivia\"], \"text_template_based\": \"I had pasta for dinner with Eva, Avery, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/02/02?\", \"Eva, Avery, Olivia\"], [\"what did I eat for dinner on 2013/02/02\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2013/02/05\": {\"grocery\": {\"eid\": \"e1893\", \"logical_representation\": [\"2013/02/05\", \"I went grocery shopping with Hazel, Piper, Avery, Nevaeh. I bought some clementines, pineapples, milk, chocolate milk, and mouthwash, shampoo\", \"clementines, pineapples\", \"milk, chocolate milk\", \"mouthwash, shampoo\", \"Hazel, Piper, Avery, Nevaeh\"], \"text_template_based\": \"I went grocery shopping with Hazel, Piper, Avery, Nevaeh. I bought some clementines, pineapples, milk, chocolate milk, and mouthwash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/02/05?\", \"clementines, pineapples, milk, chocolate milk, and mouthwash, shampoo\"], [\"what fruits did I buy from the grocery store on 2013/02/05?\", \"clementines, pineapples\"], [\"what drinks did I buy from the grocery store on 2013/02/05?\", \"milk, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2013/02/05?\", \"mouthwash, shampoo\"], [\"who was with me at the grocery store on 2013/02/05?\", \"Hazel, Piper, Avery, Nevaeh\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2004\", \"logical_representation\": [\"2013/02/05\", \"lunch\", \"pasta\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/02/05\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2013/03/03\": {\"grocery\": {\"eid\": \"e1895\", \"logical_representation\": [\"2013/03/03\", \"I bought some cherres, peaches, mango juice, apple juice, toilet paper from the grocery store. I saw Emily, Carter, Kayden, Andrew at the grocery store.\", \"cherres, peaches\", \"mango juice, apple juice\", \"toilet paper\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I bought some cherres, peaches, mango juice, apple juice, toilet paper from the grocery store. I saw Emily, Carter, Kayden, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/03/03?\", \"cherres, peaches, mango juice, apple juice, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2013/03/03?\", \"cherres, peaches\"], [\"what drinks did I buy from the grocery store on 2013/03/03?\", \"mango juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2013/03/03?\", \"toilet paper\"], [\"who did I see at the grocery store on 2013/03/03?\", \"Emily, Carter, Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2032\", \"logical_representation\": [\"2013/03/03\", \"lunch\", \"steak\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/03/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2033\", \"logical_representation\": [\"2013/03/03\", \"Layla, Claire, Lydia, Nora\", \"in the morning\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Layla, Claire, Lydia, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire, Lydia, Nora in the morning on 2013/03/03?\", \"47 minutes\"], [\"who did I talk to on 2013/03/03?\", \"Layla, Claire, Lydia, Nora\"], [\"Did I talk to Layla, Claire, Lydia, Nora on 2013/03/03?\", \"yes\"], [\"Did I talk to anyone on 2013/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/17\": {\"grocery\": {\"eid\": \"e1896\", \"logical_representation\": [\"2013/03/17\", \"I bought some peaches, milk, apple juice, tea, facial wash, shaving cream, mouthwash, toothbrush from the grocery store. I saw Andrew at the grocery store.\", \"peaches\", \"milk, apple juice, tea\", \"facial wash, shaving cream, mouthwash, toothbrush\", \"Andrew\"], \"text_template_based\": \"I bought some peaches, milk, apple juice, tea, facial wash, shaving cream, mouthwash, toothbrush from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/03/17?\", \"peaches, milk, apple juice, tea, and facial wash, shaving cream, mouthwash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2013/03/17?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2013/03/17?\", \"milk, apple juice, tea\"], [\"what toiletries did I buy from the grocery store on 2013/03/17?\", \"facial wash, shaving cream, mouthwash, toothbrush\"], [\"who did I see at the grocery store on 2013/03/17?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2053\", \"logical_representation\": [\"2013/03/17\", \"Layla, Rylee\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Layla, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee late in the evening on 2013/03/17?\", \"40 minutes\"], [\"who did I talk to on 2013/03/17?\", \"Layla, Rylee\"], [\"Did I talk to Layla, Rylee on 2013/03/17?\", \"yes\"], [\"Did I talk to anyone on 2013/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/24\": {\"dating\": {\"eid\": \"e1897\", \"logical_representation\": [\"2013/03/24\", \"Savannah\", \"a park\"], \"text_template_based\": \"I went on a date with Savannah on 2013/03/24 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/03/24\", \"Savannah\"], [\"where did I go for the date on 2013/03/24\", \"a park\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2067\", \"logical_representation\": [\"2013/03/24\", \"Nevaeh, Piper, Layla, Olivia\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Nevaeh, Piper, Layla, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Layla, Olivia in the early afternoon on 2013/03/24?\", \"33 minutes\"], [\"who did I talk to on 2013/03/24?\", \"Nevaeh, Piper, Layla, Olivia\"], [\"Did I talk to Nevaeh, Piper, Layla, Olivia on 2013/03/24?\", \"yes\"], [\"Did I talk to anyone on 2013/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2068\", \"logical_representation\": [\"2013/03/24\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/03/24?\", \"7 minutes\"], [\"what did I read on 2013/03/24?\", \"news\"], [\"Did I read on 2013/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/21\": {\"grocery\": {\"eid\": \"e1898\", \"logical_representation\": [\"2013/03/21\", \"I went grocery shopping with Hazel, Rylee, Piper, Nora. I bought some bananas, peaches, guava, strawberries, mango juice, orange juice, soda, and toilet paper\", \"bananas, peaches, guava, strawberries\", \"mango juice, orange juice, soda\", \"toilet paper\", \"Hazel, Rylee, Piper, Nora\"], \"text_template_based\": \"I went grocery shopping with Hazel, Rylee, Piper, Nora. I bought some bananas, peaches, guava, strawberries, mango juice, orange juice, soda, and toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/03/21?\", \"bananas, peaches, guava, strawberries, mango juice, orange juice, soda, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2013/03/21?\", \"bananas, peaches, guava, strawberries\"], [\"what drinks did I buy from the grocery store on 2013/03/21?\", \"mango juice, orange juice, soda\"], [\"what toiletries did I buy from the grocery store on 2013/03/21?\", \"toilet paper\"], [\"who was with me at the grocery store on 2013/03/21?\", \"Hazel, Rylee, Piper, Nora\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2061\", \"logical_representation\": [\"2013/03/21\", \"lunch\", \"fish and chips\", \"Emily, Kayden\"], \"text_template_based\": \"I had fish and chips for lunch with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/03/21?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2013/03/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2062\", \"logical_representation\": [\"2013/03/21\", \"Claire, Hazel, Piper, Nevaeh\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I talked to Claire, Hazel, Piper, Nevaeh for 55 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Piper, Nevaeh during lunch hours on 2013/03/21?\", \"55 minutes\"], [\"who did I talk to on 2013/03/21?\", \"Claire, Hazel, Piper, Nevaeh\"], [\"Did I talk to Claire, Hazel, Piper, Nevaeh on 2013/03/21?\", \"yes\"], [\"Did I talk to anyone on 2013/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/29\": {\"dating\": {\"eid\": \"e1899\", \"logical_representation\": [\"2013/03/29\", \"Eli\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Eli on 2013/03/29 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/03/29\", \"Eli\"], [\"where did I go for the date on 2013/03/29\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2079\", \"logical_representation\": [\"2013/03/29\", \"dinner\", \"chinese food\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had dinner with Carter, Kayden, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/03/29?\", \"Carter, Kayden, Emily\"], [\"what did I eat for dinner on 2013/03/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2080\", \"logical_representation\": [\"2013/03/29\", \"news\", \"46 minutes\"], \"text_template_based\": \"I watched news for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/29?\", \"46 minutes\"], [\"what did I watch on tv on 2013/03/29?\", \"news\"], [\"Did I watch tv on 2013/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/02\": {\"grocery\": {\"eid\": \"e1900\", \"logical_representation\": [\"2013/04/02\", \"I went grocery shopping. I bought some watermelons, pineapples, oranges, apple juice, mineral water, pineapple juice, tea, and toilet paper\", \"watermelons, pineapples, oranges\", \"apple juice, mineral water, pineapple juice, tea\", \"toilet paper\", \"Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some watermelons, pineapples, oranges, apple juice, mineral water, pineapple juice, tea, and toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/04/02?\", \"watermelons, pineapples, oranges, apple juice, mineral water, pineapple juice, tea, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2013/04/02?\", \"watermelons, pineapples, oranges\"], [\"what drinks did I buy from the grocery store on 2013/04/02?\", \"apple juice, mineral water, pineapple juice, tea\"], [\"what toiletries did I buy from the grocery store on 2013/04/02?\", \"toilet paper\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2085\", \"logical_representation\": [\"2013/04/02\", \"Nevaeh, Lydia, Eva, Kinsley\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Nevaeh, Lydia, Eva, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Eva, Kinsley late in the evening on 2013/04/02?\", \"49 minutes\"], [\"who did I talk to on 2013/04/02?\", \"Nevaeh, Lydia, Eva, Kinsley\"], [\"Did I talk to Nevaeh, Lydia, Eva, Kinsley on 2013/04/02?\", \"yes\"], [\"Did I talk to anyone on 2013/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/08\": {\"grocery\": {\"eid\": \"e1901\", \"logical_representation\": [\"2013/04/08\", \"I bought some blueberries, watermelons, apples, apple juice, chocolate milk, mineral water, toothpaste, conditioner, body lotion from the grocery store. I saw Carter, Andrew, Emily at the grocery store.\", \"blueberries, watermelons, apples\", \"apple juice, chocolate milk, mineral water\", \"toothpaste, conditioner, body lotion\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I bought some blueberries, watermelons, apples, apple juice, chocolate milk, mineral water, toothpaste, conditioner, body lotion from the grocery store. I saw Carter, Andrew, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/04/08?\", \"blueberries, watermelons, apples, apple juice, chocolate milk, mineral water, and toothpaste, conditioner, body lotion\"], [\"what fruits did I buy from the grocery store on 2013/04/08?\", \"blueberries, watermelons, apples\"], [\"what drinks did I buy from the grocery store on 2013/04/08?\", \"apple juice, chocolate milk, mineral water\"], [\"what toiletries did I buy from the grocery store on 2013/04/08?\", \"toothpaste, conditioner, body lotion\"], [\"who did I see at the grocery store on 2013/04/08?\", \"Carter, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2095\", \"logical_representation\": [\"2013/04/08\", \"dinner\", \"pasta\", \"Olivia, Layla, Eva, Avery\"], \"text_template_based\": \"I had pasta for dinner with Olivia, Layla, Eva, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/04/08?\", \"Olivia, Layla, Eva, Avery\"], [\"what did I eat for dinner on 2013/04/08\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2013/04/22\": {\"grocery\": {\"eid\": \"e1902\", \"logical_representation\": [\"2013/04/22\", \"I bought some strawberries, blackberries, raspberries, guava juice, orange juice, apple juice, mango juice, conditioner online.\", \"strawberries, blackberries, raspberries\", \"guava juice, orange juice, apple juice, mango juice\", \"conditioner\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I bought some strawberries, blackberries, raspberries, guava juice, orange juice, apple juice, mango juice, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/04/22?\", \"strawberries, blackberries, raspberries, guava juice, orange juice, apple juice, mango juice, and conditioner\"], [\"what fruits did I buy online on 2013/04/22?\", \"strawberries, blackberries, raspberries\"], [\"what drinks did I buy online on 2013/04/22?\", \"guava juice, orange juice, apple juice, mango juice\"], [\"what toiletries did I buy online on 2013/04/22?\", \"conditioner\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2122\", \"logical_representation\": [\"2013/04/22\", \"news\", \"46 minutes\"], \"text_template_based\": \"I watched news for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/22?\", \"46 minutes\"], [\"what did I watch on tv on 2013/04/22?\", \"news\"], [\"Did I watch tv on 2013/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/26\": {\"hobbies\": {\"eid\": \"e1903\", \"logical_representation\": [\"2013/04/26\", \"I spent some time working out on 2013/04/26.\", \"working out\", \"Kayden\"], \"text_template_based\": \"I spent some time working out on 2013/04/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2013/04/26\"], [\"On 2013/04/26, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1904\", \"logical_representation\": [\"2013/04/26\", \"I went grocery shopping with Eva. I bought some nectarines, oranges, soda, orange juice, apple juice, chocolate milk, and mouth wash, shampoo, facial wash\", \"nectarines, oranges\", \"soda, orange juice, apple juice, chocolate milk\", \"mouth wash, shampoo, facial wash\", \"Eva\"], \"text_template_based\": \"I went grocery shopping with Eva. I bought some nectarines, oranges, soda, orange juice, apple juice, chocolate milk, and mouth wash, shampoo, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/04/26?\", \"nectarines, oranges, soda, orange juice, apple juice, chocolate milk, and mouth wash, shampoo, facial wash\"], [\"what fruits did I buy from the grocery store on 2013/04/26?\", \"nectarines, oranges\"], [\"what drinks did I buy from the grocery store on 2013/04/26?\", \"soda, orange juice, apple juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2013/04/26?\", \"mouth wash, shampoo, facial wash\"], [\"who was with me at the grocery store on 2013/04/26?\", \"Eva\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2127\", \"logical_representation\": [\"2013/04/26\", \"running\"], \"text_template_based\": \"I did running on 2013/04/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/26?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2013/05/06\": {\"dating\": {\"eid\": \"e1905\", \"logical_representation\": [\"2013/05/06\", \"Jaxson\", \"a restaurant\"], \"text_template_based\": \"On 2013/05/06, I took Jaxson on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/05/06\", \"Jaxson\"], [\"where did I go for the date on 2013/05/06\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2139\", \"logical_representation\": [\"2013/05/06\", \"lunch\", \"pasta\", \"Olivia, Piper, Nevaeh, Claire, Rylee, Hazel\"], \"text_template_based\": \"I had lunch with Olivia, Piper, Nevaeh, Claire, Rylee, Hazel. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/05/06?\", \"Olivia, Piper, Nevaeh, Claire, Rylee, Hazel\"], [\"what did I eat for lunch on 2013/05/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2140\", \"logical_representation\": [\"2013/05/06\", \"Piper\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I talked to Piper for 37 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2013/05/06?\", \"37 minutes\"], [\"who did I talk to on 2013/05/06?\", \"Piper\"], [\"Did I talk to Piper on 2013/05/06?\", \"yes\"], [\"Did I talk to anyone on 2013/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/30\": {\"hobbies\": {\"eid\": \"e1906\", \"logical_representation\": [\"2013/04/30\", \"I spent some time gardening on 2013/04/30.\", \"gardening\", \"Emily, Carter\"], \"text_template_based\": \"I spent some time gardening on 2013/04/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2013/04/30\"], [\"On 2013/04/30, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2131\", \"logical_representation\": [\"2013/04/30\", \"breakfast\", \"pancakes\", \"Layla, Lydia, Nora, Kinsley\"], \"text_template_based\": \"I had pancakes for breakfast with Layla, Lydia, Nora, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/04/30?\", \"Layla, Lydia, Nora, Kinsley\"], [\"what did I eat for breakfast on 2013/04/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2132\", \"logical_representation\": [\"2013/04/30\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/04/30?\", \"6 minutes\"], [\"what did I read on 2013/04/30?\", \"a book\"], [\"Did I read on 2013/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/08\": {\"dating\": {\"eid\": \"e1907\", \"logical_representation\": [\"2013/05/08\", \"Liam\", \"a restaurant\"], \"text_template_based\": \"On 2013/05/08, I took Liam on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/05/08\", \"Liam\"], [\"where did I go for the date on 2013/05/08\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2144\", \"logical_representation\": [\"2013/05/08\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I watched a tv series for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/08?\", \"21 minutes\"], [\"what did I watch on tv on 2013/05/08?\", \"a tv series\"], [\"Did I watch tv on 2013/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/10\": {\"dating\": {\"eid\": \"e1908\", \"logical_representation\": [\"2013/05/10\", \"Sadie\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Sadie on 2013/05/10 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/05/10\", \"Sadie\"], [\"where did I go for the date on 2013/05/10\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e1909\", \"logical_representation\": [\"2013/05/10\", \"I spent time gardening on 2013/05/10 with Eva, Avery, Nora.\", \"gardening\", \"Eva, Avery, Nora\"], \"text_template_based\": \"I spent time gardening on 2013/05/10 with Eva, Avery, Nora.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Eva, Avery, Nora?\", \"2013/05/10\"], [\"On 2013/05/10, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2013/05/10?\", \"Eva, Avery, Nora\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2147\", \"logical_representation\": [\"2013/05/10\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/05/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2148\", \"logical_representation\": [\"2013/05/10\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/05/10?\", \"32 minutes\"], [\"what did I read on 2013/05/10?\", \"news\"], [\"Did I read on 2013/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/25\": {\"grocery\": {\"eid\": \"e1910\", \"logical_representation\": [\"2013/05/25\", \"I went grocery shopping. I bought some raspberries, cherres, apples, oranges, sports drinks, coffee, apple juice, and toilet paper, mouthwash\", \"raspberries, cherres, apples, oranges\", \"sports drinks, coffee, apple juice\", \"toilet paper, mouthwash\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, cherres, apples, oranges, sports drinks, coffee, apple juice, and toilet paper, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/05/25?\", \"raspberries, cherres, apples, oranges, sports drinks, coffee, apple juice, and toilet paper, mouthwash\"], [\"what fruits did I buy from the grocery store on 2013/05/25?\", \"raspberries, cherres, apples, oranges\"], [\"what drinks did I buy from the grocery store on 2013/05/25?\", \"sports drinks, coffee, apple juice\"], [\"what toiletries did I buy from the grocery store on 2013/05/25?\", \"toilet paper, mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2167\", \"logical_representation\": [\"2013/05/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/05/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2168\", \"logical_representation\": [\"2013/05/25\", \"breakfast\", \"pancakes\", \"Carter, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/05/25?\", \"Carter, Emily\"], [\"what did I eat for breakfast on 2013/05/25\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2169\", \"logical_representation\": [\"2013/05/25\", \"dinner\", \"pasta\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/05/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2170\", \"logical_representation\": [\"2013/05/25\", \"Piper\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2013/05/25?\", \"8 minutes\"], [\"who did I talk to on 2013/05/25?\", \"Piper\"], [\"Did I talk to Piper on 2013/05/25?\", \"yes\"], [\"Did I talk to anyone on 2013/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/03\": {\"dating\": {\"eid\": \"e1911\", \"logical_representation\": [\"2013/06/03\", \"Alon\", \"a park\"], \"text_template_based\": \"I went on a date with Alon on 2013/06/03 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/06/03\", \"Alon\"], [\"where did I go for the date on 2013/06/03\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2181\", \"logical_representation\": [\"2013/06/03\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2182\", \"logical_representation\": [\"2013/06/03\", \"lunch\", \"a burger\", \"Claire, Piper\"], \"text_template_based\": \"I had lunch with Claire, Piper. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/06/03?\", \"Claire, Piper\"], [\"what did I eat for lunch on 2013/06/03\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2013/06/01\": {\"hobbies\": {\"eid\": \"e1912\", \"logical_representation\": [\"2013/06/01\", \"I spent time learning a language on 2013/06/01 with Carter.\", \"learning a language\", \"Carter\"], \"text_template_based\": \"I spent time learning a language on 2013/06/01 with Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Carter?\", \"2013/06/01\"], [\"On 2013/06/01, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2013/06/01?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2178\", \"logical_representation\": [\"2013/06/01\", \"dinner\", \"indian food\", \"Olivia, Piper, Layla, Nora, Nevaeh, Rylee, Lydia, Claire, Eva\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/06/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2179\", \"logical_representation\": [\"2013/06/01\", \"a movie\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/01?\", \"27 minutes\"], [\"what did I watch on tv on 2013/06/01?\", \"a movie\"], [\"Did I watch tv on 2013/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/30\": {\"grocery\": {\"eid\": \"e1913\", \"logical_representation\": [\"2013/05/30\", \"I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some pears, watermelons, mineral water, soda, pineapple juice, milk, and conditioner, shampoo, toilet paper\", \"pears, watermelons\", \"mineral water, soda, pineapple juice, milk\", \"conditioner, shampoo, toilet paper\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some pears, watermelons, mineral water, soda, pineapple juice, milk, and conditioner, shampoo, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/05/30?\", \"pears, watermelons, mineral water, soda, pineapple juice, milk, and conditioner, shampoo, toilet paper\"], [\"what fruits did I buy from the grocery store on 2013/05/30?\", \"pears, watermelons\"], [\"what drinks did I buy from the grocery store on 2013/05/30?\", \"mineral water, soda, pineapple juice, milk\"], [\"what toiletries did I buy from the grocery store on 2013/05/30?\", \"conditioner, shampoo, toilet paper\"], [\"who was with me at the grocery store on 2013/05/30?\", \"Kayden, Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2175\", \"logical_representation\": [\"2013/05/30\", \"breakfast\", \"cereals\", \"Lydia, Eva, Hazel, Nora, Olivia, Kinsley, Claire, Nevaeh, Rylee, Piper\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/05/30\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2176\", \"logical_representation\": [\"2013/05/30\", \"Avery\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Avery for 54 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2013/05/30?\", \"54 minutes\"], [\"who did I talk to on 2013/05/30?\", \"Avery\"], [\"Did I talk to Avery on 2013/05/30?\", \"yes\"], [\"Did I talk to anyone on 2013/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/07\": {\"dating\": {\"eid\": \"e1914\", \"logical_representation\": [\"2013/06/07\", \"Bella\", \"a park\"], \"text_template_based\": \"On 2013/06/07, I took Bella on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/06/07\", \"Bella\"], [\"where did I go for the date on 2013/06/07\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2188\", \"logical_representation\": [\"2013/06/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/06/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2189\", \"logical_representation\": [\"2013/06/07\", \"Olivia, Eva\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Olivia, Eva for 53 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva in the early evening on 2013/06/07?\", \"53 minutes\"], [\"who did I talk to on 2013/06/07?\", \"Olivia, Eva\"], [\"Did I talk to Olivia, Eva on 2013/06/07?\", \"yes\"], [\"Did I talk to anyone on 2013/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2190\", \"logical_representation\": [\"2013/06/07\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/06/07?\", \"11 minutes\"], [\"what did I read on 2013/06/07?\", \"news\"], [\"Did I read on 2013/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/09\": {\"grocery\": {\"eid\": \"e1915\", \"logical_representation\": [\"2013/06/09\", \"I went grocery shopping. I bought some blueberries, pears, chocolate milk, and facial wash, toilet paper\", \"blueberries, pears\", \"chocolate milk\", \"facial wash, toilet paper\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some blueberries, pears, chocolate milk, and facial wash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/06/09?\", \"blueberries, pears, chocolate milk, and facial wash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2013/06/09?\", \"blueberries, pears\"], [\"what drinks did I buy from the grocery store on 2013/06/09?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2013/06/09?\", \"facial wash, toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2192\", \"logical_representation\": [\"2013/06/09\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/06/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/09?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2193\", \"logical_representation\": [\"2013/06/09\", \"lunch\", \"pasta\", \"Avery\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/06/09\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2194\", \"logical_representation\": [\"2013/06/09\", \"Piper, Nora, Lydia, Piper\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Piper, Nora, Lydia, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Lydia, Piper in the early evening on 2013/06/09?\", \"50 minutes\"], [\"who did I talk to on 2013/06/09?\", \"Piper, Nora, Lydia, Piper\"], [\"Did I talk to Piper, Nora, Lydia, Piper on 2013/06/09?\", \"yes\"], [\"Did I talk to anyone on 2013/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2195\", \"logical_representation\": [\"2013/06/09\", \"a movie\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/09?\", \"35 minutes\"], [\"what did I watch on tv on 2013/06/09?\", \"a movie\"], [\"Did I watch tv on 2013/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/28\": {\"dating\": {\"eid\": \"e1916\", \"logical_representation\": [\"2013/06/28\", \"Lydia\", \"a restaurant\"], \"text_template_based\": \"On 2013/06/28, I took Lydia on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/06/28\", \"Lydia\"], [\"where did I go for the date on 2013/06/28\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e1917\", \"logical_representation\": [\"2013/06/28\", \"I spent time gardening on 2013/06/28 with Jackson, Willow, Benjamin.\", \"gardening\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I spent time gardening on 2013/06/28 with Jackson, Willow, Benjamin.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Jackson, Willow, Benjamin?\", \"2013/06/28\"], [\"On 2013/06/28, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2013/06/28?\", \"Jackson, Willow, Benjamin\"]], \"multihop_qa_pairs\": []}}, \"2013/07/02\": {\"dating\": {\"eid\": \"e1918\", \"logical_representation\": [\"2013/07/02\", \"Jackson\", \"a boba shop\"], \"text_template_based\": \"On 2013/07/02, I took Jackson on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/07/02\", \"Jackson\"], [\"where did I go for the date on 2013/07/02\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2241\", \"logical_representation\": [\"2013/07/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/07/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2242\", \"logical_representation\": [\"2013/07/02\", \"breakfast\", \"cereals\", \"Avery, Olivia, Piper, Rylee\"], \"text_template_based\": \"I had breakfast with Avery, Olivia, Piper, Rylee. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/07/02?\", \"Avery, Olivia, Piper, Rylee\"], [\"what did I eat for breakfast on 2013/07/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2243\", \"logical_representation\": [\"2013/07/02\", \"lunch\", \"pasta\", \"Kinsley, Claire, Piper, Eva, Rylee, Avery, Nora, Lydia, Piper\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/07/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2244\", \"logical_representation\": [\"2013/07/02\", \"Avery, Lydia, Layla, Rylee\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Avery, Lydia, Layla, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Layla, Rylee in the morning on 2013/07/02?\", \"54 minutes\"], [\"who did I talk to on 2013/07/02?\", \"Avery, Lydia, Layla, Rylee\"], [\"Did I talk to Avery, Lydia, Layla, Rylee on 2013/07/02?\", \"yes\"], [\"Did I talk to anyone on 2013/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2245\", \"logical_representation\": [\"2013/07/02\", \"a book\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/07/02?\", \"40 minutes\"], [\"what did I read on 2013/07/02?\", \"a book\"], [\"Did I read on 2013/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/05\": {\"grocery\": {\"eid\": \"e1919\", \"logical_representation\": [\"2013/07/05\", \"I went grocery shopping. I bought some bananas, apples, watermelons, mangos, coffee, mango juice, orange juice, and body lotion, mouthwash, shampoo, toothpaste\", \"bananas, apples, watermelons, mangos\", \"coffee, mango juice, orange juice\", \"body lotion, mouthwash, shampoo, toothpaste\", \"Kayden, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, apples, watermelons, mangos, coffee, mango juice, orange juice, and body lotion, mouthwash, shampoo, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/07/05?\", \"bananas, apples, watermelons, mangos, coffee, mango juice, orange juice, and body lotion, mouthwash, shampoo, toothpaste\"], [\"what fruits did I buy from the grocery store on 2013/07/05?\", \"bananas, apples, watermelons, mangos\"], [\"what drinks did I buy from the grocery store on 2013/07/05?\", \"coffee, mango juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2013/07/05?\", \"body lotion, mouthwash, shampoo, toothpaste\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2251\", \"logical_representation\": [\"2013/07/05\", \"breakfast\", \"cereals\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/05\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2252\", \"logical_representation\": [\"2013/07/05\", \"Piper, Avery, Hazel, Piper\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Piper, Avery, Hazel, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Hazel, Piper in the early evening on 2013/07/05?\", \"32 minutes\"], [\"who did I talk to on 2013/07/05?\", \"Piper, Avery, Hazel, Piper\"], [\"Did I talk to Piper, Avery, Hazel, Piper on 2013/07/05?\", \"yes\"], [\"Did I talk to anyone on 2013/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/13\": {\"dating\": {\"eid\": \"e1920\", \"logical_representation\": [\"2013/07/13\", \"Lydia\", \"a park\"], \"text_template_based\": \"On 2013/07/13, I took Lydia on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/07/13\", \"Lydia\"], [\"where did I go for the date on 2013/07/13\", \"a park\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2258\", \"logical_representation\": [\"2013/07/13\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/13?\", \"27 minutes\"], [\"what did I watch on tv on 2013/07/13?\", \"news\"], [\"Did I watch tv on 2013/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/10\": {\"hobbies\": {\"eid\": \"e1921\", \"logical_representation\": [\"2013/07/10\", \"I spent some time meditation on 2013/07/10.\", \"meditation\", \"Jackson\"], \"text_template_based\": \"I spent some time meditation on 2013/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2013/07/10\"], [\"On 2013/07/10, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2255\", \"logical_representation\": [\"2013/07/10\", \"Avery, Claire, Piper, Eva\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I talked to Avery, Claire, Piper, Eva for 23 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire, Piper, Eva during lunch hours on 2013/07/10?\", \"23 minutes\"], [\"who did I talk to on 2013/07/10?\", \"Avery, Claire, Piper, Eva\"], [\"Did I talk to Avery, Claire, Piper, Eva on 2013/07/10?\", \"yes\"], [\"Did I talk to anyone on 2013/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2256\", \"logical_representation\": [\"2013/07/10\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/10?\", \"22 minutes\"], [\"what did I watch on tv on 2013/07/10?\", \"a documentary\"], [\"Did I watch tv on 2013/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/12\": {\"hobbies\": {\"eid\": \"e1922\", \"logical_representation\": [\"2013/07/12\", \"I really enjoyed yoga on 2013/07/12\", \"yoga\", \"Carter, Emily\"], \"text_template_based\": \"I really enjoyed yoga on 2013/07/12\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2013/07/12\"], [\"On 2013/07/12, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}}, \"2013/07/20\": {\"dating\": {\"eid\": \"e1923\", \"logical_representation\": [\"2013/07/20\", \"Savannah\", \"a restaurant\"], \"text_template_based\": \"On 2013/07/20, I took Savannah on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/07/20\", \"Savannah\"], [\"where did I go for the date on 2013/07/20\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2268\", \"logical_representation\": [\"2013/07/20\", \"Eva, Nora, Rylee, Piper\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Eva, Nora, Rylee, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Rylee, Piper during lunch hours on 2013/07/20?\", \"8 minutes\"], [\"who did I talk to on 2013/07/20?\", \"Eva, Nora, Rylee, Piper\"], [\"Did I talk to Eva, Nora, Rylee, Piper on 2013/07/20?\", \"yes\"], [\"Did I talk to anyone on 2013/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/29\": {\"dating\": {\"eid\": \"e1924\", \"logical_representation\": [\"2013/07/29\", \"Logan\", \"a coffee Shop\"], \"text_template_based\": \"On 2013/07/29, I took Logan on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/07/29\", \"Logan\"], [\"where did I go for the date on 2013/07/29\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2274\", \"logical_representation\": [\"2013/07/29\", \"Layla, Piper, Nora, Lydia\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Layla, Piper, Nora, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Nora, Lydia in the late afternoon on 2013/07/29?\", \"6 minutes\"], [\"who did I talk to on 2013/07/29?\", \"Layla, Piper, Nora, Lydia\"], [\"Did I talk to Layla, Piper, Nora, Lydia on 2013/07/29?\", \"yes\"], [\"Did I talk to anyone on 2013/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2275\", \"logical_representation\": [\"2013/07/29\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/07/29?\", \"11 minutes\"], [\"what did I read on 2013/07/29?\", \"a book\"], [\"Did I read on 2013/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2276\", \"logical_representation\": [\"2013/07/29\", \"news\", \"15 minutes\"], \"text_template_based\": \"I watched news for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/29?\", \"15 minutes\"], [\"what did I watch on tv on 2013/07/29?\", \"news\"], [\"Did I watch tv on 2013/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/27\": {\"grocery\": {\"eid\": \"e1925\", \"logical_representation\": [\"2013/07/27\", \"I bought some bananas, guava juice, paper towel, shaving cream from the grocery store. I saw Jackson, Benjamin, Avery at the grocery store.\", \"bananas\", \"guava juice\", \"paper towel, shaving cream\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I bought some bananas, guava juice, paper towel, shaving cream from the grocery store. I saw Jackson, Benjamin, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/07/27?\", \"bananas, guava juice, and paper towel, shaving cream\"], [\"what fruits did I buy from the grocery store on 2013/07/27?\", \"bananas\"], [\"what drinks did I buy from the grocery store on 2013/07/27?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2013/07/27?\", \"paper towel, shaving cream\"], [\"who did I see at the grocery store on 2013/07/27?\", \"Jackson, Benjamin, Avery\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2272\", \"logical_representation\": [\"2013/07/27\", \"Eva, Lydia, Rylee, Nevaeh\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Eva, Lydia, Rylee, Nevaeh for 11 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Rylee, Nevaeh late in the evening on 2013/07/27?\", \"11 minutes\"], [\"who did I talk to on 2013/07/27?\", \"Eva, Lydia, Rylee, Nevaeh\"], [\"Did I talk to Eva, Lydia, Rylee, Nevaeh on 2013/07/27?\", \"yes\"], [\"Did I talk to anyone on 2013/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2273\", \"logical_representation\": [\"2013/07/27\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/07/27?\", \"13 minutes\"], [\"what did I read on 2013/07/27?\", \"social media\"], [\"Did I read on 2013/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/03\": {\"hobbies\": {\"eid\": \"e1926\", \"logical_representation\": [\"2013/08/03\", \"I really enjoyed yoga on 2013/08/03\", \"yoga\", \"Nevaeh, Eva\"], \"text_template_based\": \"I really enjoyed yoga on 2013/08/03\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2013/08/03\"], [\"On 2013/08/03, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e1927\", \"logical_representation\": [\"2013/08/03\", \"I bought some pears, guava, oranges, mineral water, apple juice, conditioner, shampoo, mouth wash, facial wash online.\", \"pears, guava, oranges\", \"mineral water, apple juice\", \"conditioner, shampoo, mouth wash, facial wash\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I bought some pears, guava, oranges, mineral water, apple juice, conditioner, shampoo, mouth wash, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/08/03?\", \"pears, guava, oranges, mineral water, apple juice, and conditioner, shampoo, mouth wash, facial wash\"], [\"what fruits did I buy online on 2013/08/03?\", \"pears, guava, oranges\"], [\"what drinks did I buy online on 2013/08/03?\", \"mineral water, apple juice\"], [\"what toiletries did I buy online on 2013/08/03?\", \"conditioner, shampoo, mouth wash, facial wash\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2287\", \"logical_representation\": [\"2013/08/03\", \"dinner\", \"steak\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/03\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2013/08/10\": {\"dating\": {\"eid\": \"e1928\", \"logical_representation\": [\"2013/08/10\", \"William\", \"a park\"], \"text_template_based\": \"I went on a date with William on 2013/08/10 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/08/10\", \"William\"], [\"where did I go for the date on 2013/08/10\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2300\", \"logical_representation\": [\"2013/08/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/08/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2013/08/18\": {\"grocery\": {\"eid\": \"e1929\", \"logical_representation\": [\"2013/08/18\", \"I bought some strawberries, pineapples, soda, guava juice, toilet paper, conditioner, shaving cream, toothpaste from the grocery store. I saw Lydia, Claire, Piper, Nora, Rylee, Avery at the grocery store.\", \"strawberries, pineapples\", \"soda, guava juice\", \"toilet paper, conditioner, shaving cream, toothpaste\", \"Lydia, Claire, Piper, Nora, Rylee, Avery\"], \"text_template_based\": \"I bought some strawberries, pineapples, soda, guava juice, toilet paper, conditioner, shaving cream, toothpaste from the grocery store. I saw Lydia, Claire, Piper, Nora, Rylee, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/08/18?\", \"strawberries, pineapples, soda, guava juice, and toilet paper, conditioner, shaving cream, toothpaste\"], [\"what fruits did I buy from the grocery store on 2013/08/18?\", \"strawberries, pineapples\"], [\"what drinks did I buy from the grocery store on 2013/08/18?\", \"soda, guava juice\"], [\"what toiletries did I buy from the grocery store on 2013/08/18?\", \"toilet paper, conditioner, shaving cream, toothpaste\"], [\"who did I see at the grocery store on 2013/08/18?\", \"Lydia, Claire, Piper, Nora, Rylee, Avery\"]], \"multihop_qa_pairs\": []}}, \"2013/08/26\": {\"dating\": {\"eid\": \"e1930\", \"logical_representation\": [\"2013/08/26\", \"Hunter\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Hunter on 2013/08/26 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/08/26\", \"Hunter\"], [\"where did I go for the date on 2013/08/26\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2320\", \"logical_representation\": [\"2013/08/26\", \"Rylee, Claire, Nevaeh, Layla\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Rylee, Claire, Nevaeh, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Nevaeh, Layla in the early afternoon on 2013/08/26?\", \"53 minutes\"], [\"who did I talk to on 2013/08/26?\", \"Rylee, Claire, Nevaeh, Layla\"], [\"Did I talk to Rylee, Claire, Nevaeh, Layla on 2013/08/26?\", \"yes\"], [\"Did I talk to anyone on 2013/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/22\": {\"hobbies\": {\"eid\": \"e1931\", \"logical_representation\": [\"2013/08/22\", \"I spent some time meditation on 2013/08/22.\", \"meditation\", \"Andrew, Kayden\"], \"text_template_based\": \"I spent some time meditation on 2013/08/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2013/08/22\"], [\"On 2013/08/22, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2315\", \"logical_representation\": [\"2013/08/22\", \"breakfast\", \"pancakes\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/08/22?\", \"Andrew, Kayden\"], [\"what did I eat for breakfast on 2013/08/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2316\", \"logical_representation\": [\"2013/08/22\", \"lunch\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2013/08/24\": {\"grocery\": {\"eid\": \"e1932\", \"logical_representation\": [\"2013/08/24\", \"I bought some pineapples, coffee, guava juice, soda, mouthwash from the grocery store. I saw Piper, Nevaeh, Claire, Layla, Lydia, Eva, Piper, Rylee at the grocery store.\", \"pineapples\", \"coffee, guava juice, soda\", \"mouthwash\", \"Piper, Nevaeh, Claire, Layla, Lydia, Eva, Piper, Rylee\"], \"text_template_based\": \"I bought some pineapples, coffee, guava juice, soda, mouthwash from the grocery store. I saw Piper, Nevaeh, Claire, Layla, Lydia, Eva, Piper, Rylee at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/08/24?\", \"pineapples, coffee, guava juice, soda, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2013/08/24?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2013/08/24?\", \"coffee, guava juice, soda\"], [\"what toiletries did I buy from the grocery store on 2013/08/24?\", \"mouthwash\"], [\"who did I see at the grocery store on 2013/08/24?\", \"Piper, Nevaeh, Claire, Layla, Lydia, Eva, Piper, Rylee\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2317\", \"logical_representation\": [\"2013/08/24\", \"dinner\", \"sandwich\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2318\", \"logical_representation\": [\"2013/08/24\", \"Hazel, Nora, Avery\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Hazel, Nora, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Avery in the morning on 2013/08/24?\", \"51 minutes\"], [\"who did I talk to on 2013/08/24?\", \"Hazel, Nora, Avery\"], [\"Did I talk to Hazel, Nora, Avery on 2013/08/24?\", \"yes\"], [\"Did I talk to anyone on 2013/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/01\": {\"grocery\": {\"eid\": \"e1933\", \"logical_representation\": [\"2013/09/01\", \"I bought some oranges, mandarins, soda, mineral water, milk, mouth wash, toothpaste, facial wash, body lotion from the grocery store. I saw Andrew, Emily at the grocery store.\", \"oranges, mandarins\", \"soda, mineral water, milk\", \"mouth wash, toothpaste, facial wash, body lotion\", \"Andrew, Emily\"], \"text_template_based\": \"I bought some oranges, mandarins, soda, mineral water, milk, mouth wash, toothpaste, facial wash, body lotion from the grocery store. I saw Andrew, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/09/01?\", \"oranges, mandarins, soda, mineral water, milk, and mouth wash, toothpaste, facial wash, body lotion\"], [\"what fruits did I buy from the grocery store on 2013/09/01?\", \"oranges, mandarins\"], [\"what drinks did I buy from the grocery store on 2013/09/01?\", \"soda, mineral water, milk\"], [\"what toiletries did I buy from the grocery store on 2013/09/01?\", \"mouth wash, toothpaste, facial wash, body lotion\"], [\"who did I see at the grocery store on 2013/09/01?\", \"Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2331\", \"logical_representation\": [\"2013/09/01\", \"breakfast\", \"toast and cheese\", \"Kinsley, Nora, Rylee, Layla, Hazel, Olivia, Eva, Avery, Nevaeh, Claire, Lydia\"], \"text_template_based\": \"I had breakfast with Kinsley, Nora, Rylee, Layla, Hazel, Olivia, Eva, Avery, Nevaeh, Claire, Lydia. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/09/01?\", \"Kinsley, Nora, Rylee, Layla, Hazel, Olivia, Eva, Avery, Nevaeh, Claire, Lydia\"], [\"what did I eat for breakfast on 2013/09/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2332\", \"logical_representation\": [\"2013/09/01\", \"Claire\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2013/09/01?\", \"39 minutes\"], [\"who did I talk to on 2013/09/01?\", \"Claire\"], [\"Did I talk to Claire on 2013/09/01?\", \"yes\"], [\"Did I talk to anyone on 2013/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/07\": {\"dating\": {\"eid\": \"e1934\", \"logical_representation\": [\"2013/09/07\", \"Christian\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Christian on 2013/09/07 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/09/07\", \"Christian\"], [\"where did I go for the date on 2013/09/07\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}}, \"2013/09/08\": {\"grocery\": {\"eid\": \"e1935\", \"logical_representation\": [\"2013/09/08\", \"I bought some blueberries, milk, guava juice, chocolate milk, toothpaste online.\", \"blueberries\", \"milk, guava juice, chocolate milk\", \"toothpaste\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I bought some blueberries, milk, guava juice, chocolate milk, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2013/09/08?\", \"blueberries, milk, guava juice, chocolate milk, and toothpaste\"], [\"what fruits did I buy online on 2013/09/08?\", \"blueberries\"], [\"what drinks did I buy online on 2013/09/08?\", \"milk, guava juice, chocolate milk\"], [\"what toiletries did I buy online on 2013/09/08?\", \"toothpaste\"]], \"multihop_qa_pairs\": []}}, \"2013/10/04\": {\"hobbies\": {\"eid\": \"e1936\", \"logical_representation\": [\"2013/10/04\", \"I spent some time gardening on 2013/10/04.\", \"gardening\", \"Avery\"], \"text_template_based\": \"I spent some time gardening on 2013/10/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2013/10/04\"], [\"On 2013/10/04, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2387\", \"logical_representation\": [\"2013/10/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/10/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2388\", \"logical_representation\": [\"2013/10/04\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/10/04?\", \"26 minutes\"], [\"what did I read on 2013/10/04?\", \"news\"], [\"Did I read on 2013/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/07\": {\"grocery\": {\"eid\": \"e1937\", \"logical_representation\": [\"2013/10/07\", \"I bought some strawberries, mango juice, facial wash from the grocery store. I saw Jackson, Avery, Willow at the grocery store.\", \"strawberries\", \"mango juice\", \"facial wash\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I bought some strawberries, mango juice, facial wash from the grocery store. I saw Jackson, Avery, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/10/07?\", \"strawberries, mango juice, and facial wash\"], [\"what fruits did I buy from the grocery store on 2013/10/07?\", \"strawberries\"], [\"what drinks did I buy from the grocery store on 2013/10/07?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2013/10/07?\", \"facial wash\"], [\"who did I see at the grocery store on 2013/10/07?\", \"Jackson, Avery, Willow\"]], \"multihop_qa_pairs\": []}}, \"2013/10/28\": {\"dating\": {\"eid\": \"e1938\", \"logical_representation\": [\"2013/10/28\", \"Josephine\", \"a park\"], \"text_template_based\": \"On 2013/10/28, I took Josephine on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/10/28\", \"Josephine\"], [\"where did I go for the date on 2013/10/28\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e1939\", \"logical_representation\": [\"2013/10/28\", \"I really enjoyed yoga on 2013/10/28\", \"yoga\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I really enjoyed yoga on 2013/10/28\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2013/10/28\"], [\"On 2013/10/28, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2424\", \"logical_representation\": [\"2013/10/28\", \"running\"], \"text_template_based\": \"I did running on 2013/10/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/28?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2013/10/25\": {\"grocery\": {\"eid\": \"e1940\", \"logical_representation\": [\"2013/10/25\", \"I bought some apricots, watermelons, clementines, soda, mouth wash, mouthwash, body lotion, toothbrush from the grocery store. I saw Piper, Layla, Kinsley, Eva, Nevaeh, Piper, Lydia, Nora, Olivia at the grocery store.\", \"apricots, watermelons, clementines\", \"soda\", \"mouth wash, mouthwash, body lotion, toothbrush\", \"Piper, Layla, Kinsley, Eva, Nevaeh, Piper, Lydia, Nora, Olivia\"], \"text_template_based\": \"I bought some apricots, watermelons, clementines, soda, mouth wash, mouthwash, body lotion, toothbrush from the grocery store. I saw Piper, Layla, Kinsley, Eva, Nevaeh, Piper, Lydia, Nora, Olivia at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/10/25?\", \"apricots, watermelons, clementines, soda, and mouth wash, mouthwash, body lotion, toothbrush\"], [\"what fruits did I buy from the grocery store on 2013/10/25?\", \"apricots, watermelons, clementines\"], [\"what drinks did I buy from the grocery store on 2013/10/25?\", \"soda\"], [\"what toiletries did I buy from the grocery store on 2013/10/25?\", \"mouth wash, mouthwash, body lotion, toothbrush\"], [\"who did I see at the grocery store on 2013/10/25?\", \"Piper, Layla, Kinsley, Eva, Nevaeh, Piper, Lydia, Nora, Olivia\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2417\", \"logical_representation\": [\"2013/10/25\", \"lunch\", \"steak\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2418\", \"logical_representation\": [\"2013/10/25\", \"Rylee\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Rylee for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2013/10/25?\", \"36 minutes\"], [\"who did I talk to on 2013/10/25?\", \"Rylee\"], [\"Did I talk to Rylee on 2013/10/25?\", \"yes\"], [\"Did I talk to anyone on 2013/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2419\", \"logical_representation\": [\"2013/10/25\", \"a tv series\", \"31 minutes\"], \"text_template_based\": \"I watched a tv series for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/25?\", \"31 minutes\"], [\"what did I watch on tv on 2013/10/25?\", \"a tv series\"], [\"Did I watch tv on 2013/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/08\": {\"dating\": {\"eid\": \"e1941\", \"logical_representation\": [\"2013/11/08\", \"Jonathan\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Jonathan on 2013/11/08 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/11/08\", \"Jonathan\"], [\"where did I go for the date on 2013/11/08\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2439\", \"logical_representation\": [\"2013/11/08\", \"biking\"], \"text_template_based\": \"I did biking on 2013/11/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/08?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2013/12/02\": {\"dating\": {\"eid\": \"e1942\", \"logical_representation\": [\"2013/12/02\", \"Kinsley\", \"a coffee Shop\"], \"text_template_based\": \"On 2013/12/02, I took Kinsley on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/12/02\", \"Kinsley\"], [\"where did I go for the date on 2013/12/02\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}}, \"2013/12/07\": {\"grocery\": {\"eid\": \"e1943\", \"logical_representation\": [\"2013/12/07\", \"I went grocery shopping with Carter, Emily, Andrew. I bought some pears, pineapple juice, tea, and conditioner, toilet paper, shampoo, body lotion\", \"pears\", \"pineapple juice, tea\", \"conditioner, toilet paper, shampoo, body lotion\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping with Carter, Emily, Andrew. I bought some pears, pineapple juice, tea, and conditioner, toilet paper, shampoo, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/12/07?\", \"pears, pineapple juice, tea, and conditioner, toilet paper, shampoo, body lotion\"], [\"what fruits did I buy from the grocery store on 2013/12/07?\", \"pears\"], [\"what drinks did I buy from the grocery store on 2013/12/07?\", \"pineapple juice, tea\"], [\"what toiletries did I buy from the grocery store on 2013/12/07?\", \"conditioner, toilet paper, shampoo, body lotion\"], [\"who was with me at the grocery store on 2013/12/07?\", \"Carter, Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2473\", \"logical_representation\": [\"2013/12/07\", \"lunch\", \"steak\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/12/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2474\", \"logical_representation\": [\"2013/12/07\", \"Layla, Olivia\", \"during lunch hours\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Layla, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia during lunch hours on 2013/12/07?\", \"10 minutes\"], [\"who did I talk to on 2013/12/07?\", \"Layla, Olivia\"], [\"Did I talk to Layla, Olivia on 2013/12/07?\", \"yes\"], [\"Did I talk to anyone on 2013/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/12\": {\"dating\": {\"eid\": \"e1944\", \"logical_representation\": [\"2013/12/12\", \"Mateo\", \"a coffee Shop\"], \"text_template_based\": \"On 2013/12/12, I took Mateo on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/12/12\", \"Mateo\"], [\"where did I go for the date on 2013/12/12\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2483\", \"logical_representation\": [\"2013/12/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/12/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2484\", \"logical_representation\": [\"2013/12/12\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I watched a documentary for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/12?\", \"46 minutes\"], [\"what did I watch on tv on 2013/12/12?\", \"a documentary\"], [\"Did I watch tv on 2013/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/15\": {\"hobbies\": {\"eid\": \"e1945\", \"logical_representation\": [\"2013/12/15\", \"I spent time learning a language on 2013/12/15 with Piper, Layla.\", \"learning a language\", \"Piper, Layla\"], \"text_template_based\": \"I spent time learning a language on 2013/12/15 with Piper, Layla.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Piper, Layla?\", \"2013/12/15\"], [\"On 2013/12/15, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2013/12/15?\", \"Piper, Layla\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2486\", \"logical_representation\": [\"2013/12/15\", \"lunch\", \"indian food\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/12/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2487\", \"logical_representation\": [\"2013/12/15\", \"Hazel\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I talked to Hazel for 29 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2013/12/15?\", \"29 minutes\"], [\"who did I talk to on 2013/12/15?\", \"Hazel\"], [\"Did I talk to Hazel on 2013/12/15?\", \"yes\"], [\"Did I talk to anyone on 2013/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2488\", \"logical_representation\": [\"2013/12/15\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/12/15?\", \"50 minutes\"], [\"what did I read on 2013/12/15?\", \"news\"], [\"Did I read on 2013/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/13\": {\"grocery\": {\"eid\": \"e1946\", \"logical_representation\": [\"2013/12/13\", \"I went grocery shopping. I bought some mangos, orange juice, and mouthwash, shaving cream\", \"mangos\", \"orange juice\", \"mouthwash, shaving cream\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, orange juice, and mouthwash, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/12/13?\", \"mangos, orange juice, and mouthwash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2013/12/13?\", \"mangos\"], [\"what drinks did I buy from the grocery store on 2013/12/13?\", \"orange juice\"], [\"what toiletries did I buy from the grocery store on 2013/12/13?\", \"mouthwash, shaving cream\"]], \"multihop_qa_pairs\": []}}, \"2013/12/23\": {\"dating\": {\"eid\": \"e1947\", \"logical_representation\": [\"2013/12/23\", \"Delilah\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Delilah on 2013/12/23 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2013/12/23\", \"Delilah\"], [\"where did I go for the date on 2013/12/23\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2497\", \"logical_representation\": [\"2013/12/23\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Kayden, Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/12/23?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2013/12/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2498\", \"logical_representation\": [\"2013/12/23\", \"dinner\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/12/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2499\", \"logical_representation\": [\"2013/12/23\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/12/23?\", \"44 minutes\"], [\"what did I read on 2013/12/23?\", \"social media\"], [\"Did I read on 2013/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/20\": {\"hobbies\": {\"eid\": \"e1948\", \"logical_representation\": [\"2013/12/20\", \"I really enjoyed gardening on 2013/12/20\", \"gardening\", \"Avery\"], \"text_template_based\": \"I really enjoyed gardening on 2013/12/20\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2013/12/20\"], [\"On 2013/12/20, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}}, \"2013/12/18\": {\"grocery\": {\"eid\": \"e1949\", \"logical_representation\": [\"2013/12/18\", \"I bought some oranges, guava, clementines, pineapples, orange juice, toothbrush, shaving cream, facial wash, toothpaste from the grocery store. I saw Piper, Avery, Piper, Layla, Kinsley, Olivia, Eva, Lydia, Nevaeh at the grocery store.\", \"oranges, guava, clementines, pineapples\", \"orange juice\", \"toothbrush, shaving cream, facial wash, toothpaste\", \"Piper, Avery, Piper, Layla, Kinsley, Olivia, Eva, Lydia, Nevaeh\"], \"text_template_based\": \"I bought some oranges, guava, clementines, pineapples, orange juice, toothbrush, shaving cream, facial wash, toothpaste from the grocery store. I saw Piper, Avery, Piper, Layla, Kinsley, Olivia, Eva, Lydia, Nevaeh at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/12/18?\", \"oranges, guava, clementines, pineapples, orange juice, and toothbrush, shaving cream, facial wash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2013/12/18?\", \"oranges, guava, clementines, pineapples\"], [\"what drinks did I buy from the grocery store on 2013/12/18?\", \"orange juice\"], [\"what toiletries did I buy from the grocery store on 2013/12/18?\", \"toothbrush, shaving cream, facial wash, toothpaste\"], [\"who did I see at the grocery store on 2013/12/18?\", \"Piper, Avery, Piper, Layla, Kinsley, Olivia, Eva, Lydia, Nevaeh\"]], \"multihop_qa_pairs\": []}}, \"2013/12/29\": {\"grocery\": {\"eid\": \"e1950\", \"logical_representation\": [\"2013/12/29\", \"I bought some peaches, sports drinks, apple juice, paper towel, conditioner, mouthwash, shaving cream from the grocery store. I saw Carter, Emily at the grocery store.\", \"peaches\", \"sports drinks, apple juice\", \"paper towel, conditioner, mouthwash, shaving cream\", \"Carter, Emily\"], \"text_template_based\": \"I bought some peaches, sports drinks, apple juice, paper towel, conditioner, mouthwash, shaving cream from the grocery store. I saw Carter, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2013/12/29?\", \"peaches, sports drinks, apple juice, and paper towel, conditioner, mouthwash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2013/12/29?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2013/12/29?\", \"sports drinks, apple juice\"], [\"what toiletries did I buy from the grocery store on 2013/12/29?\", \"paper towel, conditioner, mouthwash, shaving cream\"], [\"who did I see at the grocery store on 2013/12/29?\", \"Carter, Emily\"]], \"multihop_qa_pairs\": []}}, \"2013/01/01\": {\"lunch\": {\"eid\": \"e1951\", \"logical_representation\": [\"2013/01/01\", \"lunch\", \"sushi\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/01/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1952\", \"logical_representation\": [\"2013/01/01\", \"Layla, Hazel, Piper, Nora\", \"late in the evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Layla, Hazel, Piper, Nora for 51 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Piper, Nora late in the evening on 2013/01/01?\", \"51 minutes\"], [\"who did I talk to on 2013/01/01?\", \"Layla, Hazel, Piper, Nora\"], [\"Did I talk to Layla, Hazel, Piper, Nora on 2013/01/01?\", \"yes\"], [\"Did I talk to anyone on 2013/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/02\": {\"exercise\": {\"eid\": \"e1953\", \"logical_representation\": [\"2013/01/02\", \"running\"], \"text_template_based\": \"I did running on 2013/01/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1954\", \"logical_representation\": [\"2013/01/02\", \"Olivia\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2013/01/02?\", \"33 minutes\"], [\"who did I talk to on 2013/01/02?\", \"Olivia\"], [\"Did I talk to Olivia on 2013/01/02?\", \"yes\"], [\"Did I talk to anyone on 2013/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/03\": {\"dinner\": {\"eid\": \"e1955\", \"logical_representation\": [\"2013/01/03\", \"dinner\", \"indian food\", \"Jackson, Benjamin\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/01/03\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2013/01/04\": {\"exercise\": {\"eid\": \"e1956\", \"logical_representation\": [\"2013/01/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/01/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2013/01/05\": {\"dinner\": {\"eid\": \"e1957\", \"logical_representation\": [\"2013/01/05\", \"dinner\", \"tacos\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had tacos for dinner with Kayden, Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/01/05?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2013/01/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1958\", \"logical_representation\": [\"2013/01/05\", \"a tv series\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/05?\", \"51 minutes\"], [\"what did I watch on tv on 2013/01/05?\", \"a tv series\"], [\"Did I watch tv on 2013/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/06\": {\"watch tv\": {\"eid\": \"e1959\", \"logical_representation\": [\"2013/01/06\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/06?\", \"8 minutes\"], [\"what did I watch on tv on 2013/01/06?\", \"a tv series\"], [\"Did I watch tv on 2013/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/07\": {\"exercise\": {\"eid\": \"e1960\", \"logical_representation\": [\"2013/01/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/01/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2013/01/08\": {\"exercise\": {\"eid\": \"e1961\", \"logical_representation\": [\"2013/01/08\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/01/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/08?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2013/01/09\": {\"lunch\": {\"eid\": \"e1962\", \"logical_representation\": [\"2013/01/09\", \"lunch\", \"steak\", \"Claire, Hazel, Olivia, Nevaeh, Avery, Piper, Layla, Nora, Piper, Rylee\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/01/09\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1963\", \"logical_representation\": [\"2013/01/09\", \"Kinsley\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I talked to Kinsley for 44 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the morning on 2013/01/09?\", \"44 minutes\"], [\"who did I talk to on 2013/01/09?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2013/01/09?\", \"yes\"], [\"Did I talk to anyone on 2013/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1964\", \"logical_representation\": [\"2013/01/09\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/09?\", \"20 minutes\"], [\"what did I watch on tv on 2013/01/09?\", \"a documentary\"], [\"Did I watch tv on 2013/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/10\": {\"social media\": {\"eid\": \"e1965\", \"logical_representation\": [\"2013/01/10\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/01/10?\", \"22 minutes\"], [\"what did I read on 2013/01/10?\", \"social media\"], [\"Did I read on 2013/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1966\", \"logical_representation\": [\"2013/01/10\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I watched a documentary for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/10?\", \"26 minutes\"], [\"what did I watch on tv on 2013/01/10?\", \"a documentary\"], [\"Did I watch tv on 2013/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/11\": {\"lunch\": {\"eid\": \"e1967\", \"logical_representation\": [\"2013/01/11\", \"lunch\", \"indian food\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/01/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1968\", \"logical_representation\": [\"2013/01/11\", \"Nevaeh, Piper, Rylee, Layla\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Rylee, Layla for 25 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Rylee, Layla in the early afternoon on 2013/01/11?\", \"25 minutes\"], [\"who did I talk to on 2013/01/11?\", \"Nevaeh, Piper, Rylee, Layla\"], [\"Did I talk to Nevaeh, Piper, Rylee, Layla on 2013/01/11?\", \"yes\"], [\"Did I talk to anyone on 2013/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/12\": {\"exercise\": {\"eid\": \"e1969\", \"logical_representation\": [\"2013/01/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/01/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e1970\", \"logical_representation\": [\"2013/01/12\", \"dinner\", \"pasta\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had pasta for dinner with Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/01/12?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for dinner on 2013/01/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1971\", \"logical_representation\": [\"2013/01/12\", \"Nevaeh, Lydia, Piper, Rylee\", \"in the early afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia, Piper, Rylee for 18 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Piper, Rylee in the early afternoon on 2013/01/12?\", \"18 minutes\"], [\"who did I talk to on 2013/01/12?\", \"Nevaeh, Lydia, Piper, Rylee\"], [\"Did I talk to Nevaeh, Lydia, Piper, Rylee on 2013/01/12?\", \"yes\"], [\"Did I talk to anyone on 2013/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e1972\", \"logical_representation\": [\"2013/01/12\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/01/12?\", \"53 minutes\"], [\"what did I read on 2013/01/12?\", \"news\"], [\"Did I read on 2013/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1973\", \"logical_representation\": [\"2013/01/12\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/12?\", \"36 minutes\"], [\"what did I watch on tv on 2013/01/12?\", \"news\"], [\"Did I watch tv on 2013/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/13\": {\"exercise\": {\"eid\": \"e1974\", \"logical_representation\": [\"2013/01/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/01/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1975\", \"logical_representation\": [\"2013/01/13\", \"Nevaeh, Rylee, Layla, Piper\", \"late in the evening\", \"33 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee, Layla, Piper for 33 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Layla, Piper late in the evening on 2013/01/13?\", \"33 minutes\"], [\"who did I talk to on 2013/01/13?\", \"Nevaeh, Rylee, Layla, Piper\"], [\"Did I talk to Nevaeh, Rylee, Layla, Piper on 2013/01/13?\", \"yes\"], [\"Did I talk to anyone on 2013/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/15\": {\"exercise\": {\"eid\": \"e1978\", \"logical_representation\": [\"2013/01/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/01/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e1979\", \"logical_representation\": [\"2013/01/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/01/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1980\", \"logical_representation\": [\"2013/01/15\", \"lunch\", \"a burger\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/01/15?\", \"Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2013/01/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1981\", \"logical_representation\": [\"2013/01/15\", \"Layla, Piper, Olivia, Hazel\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Olivia, Hazel for 5 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Olivia, Hazel late in the evening on 2013/01/15?\", \"5 minutes\"], [\"who did I talk to on 2013/01/15?\", \"Layla, Piper, Olivia, Hazel\"], [\"Did I talk to Layla, Piper, Olivia, Hazel on 2013/01/15?\", \"yes\"], [\"Did I talk to anyone on 2013/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/17\": {\"exercise\": {\"eid\": \"e1982\", \"logical_representation\": [\"2013/01/17\", \"running\"], \"text_template_based\": \"I did running on 2013/01/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e1983\", \"logical_representation\": [\"2013/01/17\", \"lunch\", \"pasta\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/01/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1984\", \"logical_representation\": [\"2013/01/17\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/01/17?\", \"43 minutes\"], [\"what did I read on 2013/01/17?\", \"social media\"], [\"Did I read on 2013/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/18\": {\"breakfast\": {\"eid\": \"e1985\", \"logical_representation\": [\"2013/01/18\", \"breakfast\", \"oatmeal\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Emily, Kayden. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/01/18?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2013/01/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2013/01/22\": {\"dinner\": {\"eid\": \"e1987\", \"logical_representation\": [\"2013/01/22\", \"dinner\", \"steak\", \"Avery, Nevaeh, Nora, Eva, Piper, Lydia, Layla, Hazel, Rylee\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/01/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e1988\", \"logical_representation\": [\"2013/01/22\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/01/22?\", \"48 minutes\"], [\"what did I read on 2013/01/22?\", \"social media\"], [\"Did I read on 2013/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/23\": {\"exercise\": {\"eid\": \"e1989\", \"logical_representation\": [\"2013/01/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/01/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/01/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2013/01/25\": {\"lunch\": {\"eid\": \"e1990\", \"logical_representation\": [\"2013/01/25\", \"lunch\", \"sandwich\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/01/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2013/01/28\": {\"breakfast\": {\"eid\": \"e1992\", \"logical_representation\": [\"2013/01/28\", \"breakfast\", \"pancakes\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/01/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e1993\", \"logical_representation\": [\"2013/01/28\", \"Nevaeh, Lydia\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia for 39 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia in the late afternoon on 2013/01/28?\", \"39 minutes\"], [\"who did I talk to on 2013/01/28?\", \"Nevaeh, Lydia\"], [\"Did I talk to Nevaeh, Lydia on 2013/01/28?\", \"yes\"], [\"Did I talk to anyone on 2013/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/01/31\": {\"chat0\": {\"eid\": \"e1997\", \"logical_representation\": [\"2013/01/31\", \"Layla, Hazel\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Layla, Hazel for 20 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel late in the evening on 2013/01/31?\", \"20 minutes\"], [\"who did I talk to on 2013/01/31?\", \"Layla, Hazel\"], [\"Did I talk to Layla, Hazel on 2013/01/31?\", \"yes\"], [\"Did I talk to anyone on 2013/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e1998\", \"logical_representation\": [\"2013/01/31\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/01/31?\", \"6 minutes\"], [\"what did I watch on tv on 2013/01/31?\", \"a tv series\"], [\"Did I watch tv on 2013/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/01\": {\"dinner\": {\"eid\": \"e1999\", \"logical_representation\": [\"2013/02/01\", \"dinner\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/02/01?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2013/02/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2013/02/03\": {\"lunch\": {\"eid\": \"e2002\", \"logical_representation\": [\"2013/02/03\", \"lunch\", \"sandwich\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had sandwich for lunch with Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/02/03?\", \"Jackson, Benjamin\"], [\"what did I eat for lunch on 2013/02/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2013/02/04\": {\"read\": {\"eid\": \"e2003\", \"logical_representation\": [\"2013/02/04\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/02/04?\", \"38 minutes\"], [\"what did I read on 2013/02/04?\", \"news\"], [\"Did I read on 2013/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/20\": {\"read\": {\"eid\": \"e2018\", \"logical_representation\": [\"2013/02/20\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/02/20?\", \"41 minutes\"], [\"what did I read on 2013/02/20?\", \"a book\"], [\"Did I read on 2013/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/22\": {\"watch tv\": {\"eid\": \"e2019\", \"logical_representation\": [\"2013/02/22\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I watched a documentary for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/22?\", \"54 minutes\"], [\"what did I watch on tv on 2013/02/22?\", \"a documentary\"], [\"Did I watch tv on 2013/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/24\": {\"social media\": {\"eid\": \"e2020\", \"logical_representation\": [\"2013/02/24\", \"social media\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/02/24?\", \"41 minutes\"], [\"what did I read on 2013/02/24?\", \"social media\"], [\"Did I read on 2013/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/25\": {\"exercise\": {\"eid\": \"e2021\", \"logical_representation\": [\"2013/02/25\", \"running\"], \"text_template_based\": \"I did running on 2013/02/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2022\", \"logical_representation\": [\"2013/02/25\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/25?\", \"43 minutes\"], [\"what did I watch on tv on 2013/02/25?\", \"a tv series\"], [\"Did I watch tv on 2013/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/26\": {\"exercise\": {\"eid\": \"e2023\", \"logical_representation\": [\"2013/02/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/02/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/02/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2024\", \"logical_representation\": [\"2013/02/26\", \"dinner\", \"pasta\", \"Avery\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/02/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2025\", \"logical_representation\": [\"2013/02/26\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/02/26?\", \"42 minutes\"], [\"what did I watch on tv on 2013/02/26?\", \"news\"], [\"Did I watch tv on 2013/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/27\": {\"breakfast\": {\"eid\": \"e2026\", \"logical_representation\": [\"2013/02/27\", \"breakfast\", \"pancakes\", \"Claire, Eva, Olivia, Piper, Hazel, Lydia, Rylee, Kinsley\"], \"text_template_based\": \"I had breakfast with Claire, Eva, Olivia, Piper, Hazel, Lydia, Rylee, Kinsley. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/02/27?\", \"Claire, Eva, Olivia, Piper, Hazel, Lydia, Rylee, Kinsley\"], [\"what did I eat for breakfast on 2013/02/27\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2027\", \"logical_representation\": [\"2013/02/27\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/02/27?\", \"6 minutes\"], [\"what did I read on 2013/02/27?\", \"a book\"], [\"Did I read on 2013/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/02/28\": {\"breakfast\": {\"eid\": \"e2028\", \"logical_representation\": [\"2013/02/28\", \"breakfast\", \"pancakes\", \"Avery\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/02/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/01\": {\"chat0\": {\"eid\": \"e2029\", \"logical_representation\": [\"2013/03/01\", \"Hazel\", \"in the early afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Hazel for 23 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2013/03/01?\", \"23 minutes\"], [\"who did I talk to on 2013/03/01?\", \"Hazel\"], [\"Did I talk to Hazel on 2013/03/01?\", \"yes\"], [\"Did I talk to anyone on 2013/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2030\", \"logical_representation\": [\"2013/03/01\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I watched a tv series for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/01?\", \"21 minutes\"], [\"what did I watch on tv on 2013/03/01?\", \"a tv series\"], [\"Did I watch tv on 2013/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/02\": {\"watch tv\": {\"eid\": \"e2031\", \"logical_representation\": [\"2013/03/02\", \"news\", \"52 minutes\"], \"text_template_based\": \"I watched news for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/02?\", \"52 minutes\"], [\"what did I watch on tv on 2013/03/02?\", \"news\"], [\"Did I watch tv on 2013/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/04\": {\"exercise\": {\"eid\": \"e2034\", \"logical_representation\": [\"2013/03/04\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/03/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/04?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2035\", \"logical_representation\": [\"2013/03/04\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/03/04?\", \"17 minutes\"], [\"what did I read on 2013/03/04?\", \"news\"], [\"Did I read on 2013/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/07\": {\"breakfast\": {\"eid\": \"e2036\", \"logical_representation\": [\"2013/03/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Jackson\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2013/03/08\": {\"dinner\": {\"eid\": \"e2037\", \"logical_representation\": [\"2013/03/08\", \"dinner\", \"chinese food\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2013/03/09\": {\"breakfast\": {\"eid\": \"e2038\", \"logical_representation\": [\"2013/03/09\", \"breakfast\", \"pancakes\", \"Hazel, Olivia, Piper\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2039\", \"logical_representation\": [\"2013/03/09\", \"dinner\", \"a burger\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2040\", \"logical_representation\": [\"2013/03/09\", \"Nora\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2013/03/09?\", \"28 minutes\"], [\"who did I talk to on 2013/03/09?\", \"Nora\"], [\"Did I talk to Nora on 2013/03/09?\", \"yes\"], [\"Did I talk to anyone on 2013/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/10\": {\"exercise\": {\"eid\": \"e2041\", \"logical_representation\": [\"2013/03/10\", \"running\"], \"text_template_based\": \"I did running on 2013/03/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/10?\", \"running\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2042\", \"logical_representation\": [\"2013/03/10\", \"a movie\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/10?\", \"31 minutes\"], [\"what did I watch on tv on 2013/03/10?\", \"a movie\"], [\"Did I watch tv on 2013/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/11\": {\"chat0\": {\"eid\": \"e2043\", \"logical_representation\": [\"2013/03/11\", \"Lydia, Rylee, Olivia, Piper\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Lydia, Rylee, Olivia, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Olivia, Piper in the late afternoon on 2013/03/11?\", \"41 minutes\"], [\"who did I talk to on 2013/03/11?\", \"Lydia, Rylee, Olivia, Piper\"], [\"Did I talk to Lydia, Rylee, Olivia, Piper on 2013/03/11?\", \"yes\"], [\"Did I talk to anyone on 2013/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2044\", \"logical_representation\": [\"2013/03/11\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/03/11?\", \"13 minutes\"], [\"what did I read on 2013/03/11?\", \"a book\"], [\"Did I read on 2013/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/12\": {\"chat0\": {\"eid\": \"e2045\", \"logical_representation\": [\"2013/03/12\", \"Hazel\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2013/03/12?\", \"27 minutes\"], [\"who did I talk to on 2013/03/12?\", \"Hazel\"], [\"Did I talk to Hazel on 2013/03/12?\", \"yes\"], [\"Did I talk to anyone on 2013/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/13\": {\"watch tv\": {\"eid\": \"e2046\", \"logical_representation\": [\"2013/03/13\", \"news\", \"49 minutes\"], \"text_template_based\": \"I watched news for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/13?\", \"49 minutes\"], [\"what did I watch on tv on 2013/03/13?\", \"news\"], [\"Did I watch tv on 2013/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/14\": {\"dinner\": {\"eid\": \"e2047\", \"logical_representation\": [\"2013/03/14\", \"dinner\", \"fish and chips\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had dinner with Willow, Benjamin, Avery, Jackson. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/03/14?\", \"Willow, Benjamin, Avery, Jackson\"], [\"what did I eat for dinner on 2013/03/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2048\", \"logical_representation\": [\"2013/03/14\", \"Nevaeh, Nora, Rylee, Piper\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Nora, Rylee, Piper for 25 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Rylee, Piper during lunch hours on 2013/03/14?\", \"25 minutes\"], [\"who did I talk to on 2013/03/14?\", \"Nevaeh, Nora, Rylee, Piper\"], [\"Did I talk to Nevaeh, Nora, Rylee, Piper on 2013/03/14?\", \"yes\"], [\"Did I talk to anyone on 2013/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/15\": {\"breakfast\": {\"eid\": \"e2049\", \"logical_representation\": [\"2013/03/15\", \"breakfast\", \"cereals\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Emily, Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/03/15?\", \"Carter, Emily, Kayden\"], [\"what did I eat for breakfast on 2013/03/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2050\", \"logical_representation\": [\"2013/03/15\", \"dinner\", \"sushi\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2051\", \"logical_representation\": [\"2013/03/15\", \"Nora, Claire\", \"late in the evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Nora, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire late in the evening on 2013/03/15?\", \"23 minutes\"], [\"who did I talk to on 2013/03/15?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2013/03/15?\", \"yes\"], [\"Did I talk to anyone on 2013/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/16\": {\"dinner\": {\"eid\": \"e2052\", \"logical_representation\": [\"2013/03/16\", \"dinner\", \"sandwich\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2013/03/18\": {\"exercise\": {\"eid\": \"e2054\", \"logical_representation\": [\"2013/03/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/03/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2055\", \"logical_representation\": [\"2013/03/18\", \"dinner\", \"sandwich\", \"Piper, Claire, Hazel, Nora, Kinsley, Eva, Rylee, Olivia, Lydia, Layla, Nevaeh, Avery, Piper\"], \"text_template_based\": \"I had sandwich for dinner with Piper, Claire, Hazel, Nora, Kinsley, Eva, Rylee, Olivia, Lydia, Layla, Nevaeh, Avery, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/03/18?\", \"Piper, Claire, Hazel, Nora, Kinsley, Eva, Rylee, Olivia, Lydia, Layla, Nevaeh, Avery, Piper\"], [\"what did I eat for dinner on 2013/03/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2056\", \"logical_representation\": [\"2013/03/18\", \"Olivia, Avery, Eva, Hazel\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Olivia, Avery, Eva, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Eva, Hazel in the early afternoon on 2013/03/18?\", \"40 minutes\"], [\"who did I talk to on 2013/03/18?\", \"Olivia, Avery, Eva, Hazel\"], [\"Did I talk to Olivia, Avery, Eva, Hazel on 2013/03/18?\", \"yes\"], [\"Did I talk to anyone on 2013/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/19\": {\"chat0\": {\"eid\": \"e2057\", \"logical_representation\": [\"2013/03/19\", \"Claire\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2013/03/19?\", \"20 minutes\"], [\"who did I talk to on 2013/03/19?\", \"Claire\"], [\"Did I talk to Claire on 2013/03/19?\", \"yes\"], [\"Did I talk to anyone on 2013/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/20\": {\"exercise\": {\"eid\": \"e2058\", \"logical_representation\": [\"2013/03/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2059\", \"logical_representation\": [\"2013/03/20\", \"lunch\", \"sushi\", \"Emily, Carter\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/03/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2060\", \"logical_representation\": [\"2013/03/20\", \"dinner\", \"sushi\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/20\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2013/03/22\": {\"breakfast\": {\"eid\": \"e2063\", \"logical_representation\": [\"2013/03/22\", \"breakfast\", \"cereals\", \"Olivia, Piper, Claire, Lydia, Eva, Hazel\"], \"text_template_based\": \"I had breakfast with Olivia, Piper, Claire, Lydia, Eva, Hazel. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/03/22?\", \"Olivia, Piper, Claire, Lydia, Eva, Hazel\"], [\"what did I eat for breakfast on 2013/03/22\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2064\", \"logical_representation\": [\"2013/03/22\", \"dinner\", \"pasta\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/03/22\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2065\", \"logical_representation\": [\"2013/03/22\", \"Claire, Lydia, Hazel\", \"in the late afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Claire, Lydia, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Hazel in the late afternoon on 2013/03/22?\", \"36 minutes\"], [\"who did I talk to on 2013/03/22?\", \"Claire, Lydia, Hazel\"], [\"Did I talk to Claire, Lydia, Hazel on 2013/03/22?\", \"yes\"], [\"Did I talk to anyone on 2013/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/23\": {\"chat0\": {\"eid\": \"e2066\", \"logical_representation\": [\"2013/03/23\", \"Olivia, Nora, Nevaeh\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora, Nevaeh for 30 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Nevaeh late in the evening on 2013/03/23?\", \"30 minutes\"], [\"who did I talk to on 2013/03/23?\", \"Olivia, Nora, Nevaeh\"], [\"Did I talk to Olivia, Nora, Nevaeh on 2013/03/23?\", \"yes\"], [\"Did I talk to anyone on 2013/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/25\": {\"exercise\": {\"eid\": \"e2069\", \"logical_representation\": [\"2013/03/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/03/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2070\", \"logical_representation\": [\"2013/03/25\", \"lunch\", \"chinese food\", \"Carter, Kayden\"], \"text_template_based\": \"I had chinese food for lunch with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/03/25?\", \"Carter, Kayden\"], [\"what did I eat for lunch on 2013/03/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2071\", \"logical_representation\": [\"2013/03/25\", \"Olivia\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early afternoon on 2013/03/25?\", \"42 minutes\"], [\"who did I talk to on 2013/03/25?\", \"Olivia\"], [\"Did I talk to Olivia on 2013/03/25?\", \"yes\"], [\"Did I talk to anyone on 2013/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2072\", \"logical_representation\": [\"2013/03/25\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/03/25?\", \"13 minutes\"], [\"what did I watch on tv on 2013/03/25?\", \"a movie\"], [\"Did I watch tv on 2013/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/26\": {\"exercise\": {\"eid\": \"e2073\", \"logical_representation\": [\"2013/03/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/03/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2074\", \"logical_representation\": [\"2013/03/26\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Nevaeh, Nora, Rylee, Avery, Layla, Olivia\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/03/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2075\", \"logical_representation\": [\"2013/03/26\", \"lunch\", \"a burger\", \"Eva, Olivia, Claire, Nora\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/03/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2076\", \"logical_representation\": [\"2013/03/26\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/03/26?\", \"42 minutes\"], [\"what did I read on 2013/03/26?\", \"social media\"], [\"Did I read on 2013/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/27\": {\"chat0\": {\"eid\": \"e2077\", \"logical_representation\": [\"2013/03/27\", \"Claire\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I talked to Claire for 51 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2013/03/27?\", \"51 minutes\"], [\"who did I talk to on 2013/03/27?\", \"Claire\"], [\"Did I talk to Claire on 2013/03/27?\", \"yes\"], [\"Did I talk to anyone on 2013/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/28\": {\"dinner\": {\"eid\": \"e2078\", \"logical_representation\": [\"2013/03/28\", \"dinner\", \"indian food\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had indian food for dinner with Jackson, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/03/28?\", \"Jackson, Willow, Avery\"], [\"what did I eat for dinner on 2013/03/28\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2013/03/30\": {\"exercise\": {\"eid\": \"e2081\", \"logical_representation\": [\"2013/03/30\", \"running\"], \"text_template_based\": \"I did running on 2013/03/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/03/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2082\", \"logical_representation\": [\"2013/03/30\", \"Nevaeh, Hazel\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Hazel for 26 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel late in the evening on 2013/03/30?\", \"26 minutes\"], [\"who did I talk to on 2013/03/30?\", \"Nevaeh, Hazel\"], [\"Did I talk to Nevaeh, Hazel on 2013/03/30?\", \"yes\"], [\"Did I talk to anyone on 2013/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/03/31\": {\"chat0\": {\"eid\": \"e2083\", \"logical_representation\": [\"2013/03/31\", \"Eva, Piper, Claire\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Eva, Piper, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Claire in the late afternoon on 2013/03/31?\", \"6 minutes\"], [\"who did I talk to on 2013/03/31?\", \"Eva, Piper, Claire\"], [\"Did I talk to Eva, Piper, Claire on 2013/03/31?\", \"yes\"], [\"Did I talk to anyone on 2013/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/01\": {\"chat0\": {\"eid\": \"e2084\", \"logical_representation\": [\"2013/04/01\", \"Layla, Olivia, Kinsley, Piper\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Layla, Olivia, Kinsley, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia, Kinsley, Piper in the late afternoon on 2013/04/01?\", \"51 minutes\"], [\"who did I talk to on 2013/04/01?\", \"Layla, Olivia, Kinsley, Piper\"], [\"Did I talk to Layla, Olivia, Kinsley, Piper on 2013/04/01?\", \"yes\"], [\"Did I talk to anyone on 2013/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/03\": {\"exercise\": {\"eid\": \"e2086\", \"logical_representation\": [\"2013/04/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/04/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2087\", \"logical_representation\": [\"2013/04/03\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/04/03?\", \"54 minutes\"], [\"what did I read on 2013/04/03?\", \"social media\"], [\"Did I read on 2013/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/04\": {\"dinner\": {\"eid\": \"e2088\", \"logical_representation\": [\"2013/04/04\", \"dinner\", \"sushi\", \"Nevaeh, Rylee, Nora, Piper, Claire, Olivia, Avery, Piper, Layla, Kinsley\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/04/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2089\", \"logical_representation\": [\"2013/04/04\", \"Rylee, Eva, Claire\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Rylee, Eva, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Claire in the late afternoon on 2013/04/04?\", \"25 minutes\"], [\"who did I talk to on 2013/04/04?\", \"Rylee, Eva, Claire\"], [\"Did I talk to Rylee, Eva, Claire on 2013/04/04?\", \"yes\"], [\"Did I talk to anyone on 2013/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2090\", \"logical_representation\": [\"2013/04/04\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/04/04?\", \"46 minutes\"], [\"what did I read on 2013/04/04?\", \"news\"], [\"Did I read on 2013/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/05\": {\"dinner\": {\"eid\": \"e2091\", \"logical_representation\": [\"2013/04/05\", \"dinner\", \"indian food\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/04/05\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2013/04/06\": {\"breakfast\": {\"eid\": \"e2092\", \"logical_representation\": [\"2013/04/06\", \"breakfast\", \"cereals\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/04/06\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2013/04/07\": {\"breakfast\": {\"eid\": \"e2093\", \"logical_representation\": [\"2013/04/07\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Olivia, Layla, Rylee, Piper, Claire, Nevaeh, Piper, Eva, Hazel, Nora, Lydia\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/04/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2094\", \"logical_representation\": [\"2013/04/07\", \"dinner\", \"a burger\", \"Layla, Piper, Nevaeh\"], \"text_template_based\": \"I had dinner with Layla, Piper, Nevaeh. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/04/07?\", \"Layla, Piper, Nevaeh\"], [\"what did I eat for dinner on 2013/04/07\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2013/04/09\": {\"exercise\": {\"eid\": \"e2096\", \"logical_representation\": [\"2013/04/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/04/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2097\", \"logical_representation\": [\"2013/04/09\", \"Eva, Rylee, Nevaeh\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee, Nevaeh for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Nevaeh in the morning on 2013/04/09?\", \"32 minutes\"], [\"who did I talk to on 2013/04/09?\", \"Eva, Rylee, Nevaeh\"], [\"Did I talk to Eva, Rylee, Nevaeh on 2013/04/09?\", \"yes\"], [\"Did I talk to anyone on 2013/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/10\": {\"breakfast\": {\"eid\": \"e2098\", \"logical_representation\": [\"2013/04/10\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/04/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2099\", \"logical_representation\": [\"2013/04/10\", \"lunch\", \"pasta\", \"Willow, Jackson\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/04/10\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2013/04/11\": {\"chat0\": {\"eid\": \"e2100\", \"logical_representation\": [\"2013/04/11\", \"Eva, Claire, Layla, Kinsley\", \"in the early afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Eva, Claire, Layla, Kinsley for 35 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire, Layla, Kinsley in the early afternoon on 2013/04/11?\", \"35 minutes\"], [\"who did I talk to on 2013/04/11?\", \"Eva, Claire, Layla, Kinsley\"], [\"Did I talk to Eva, Claire, Layla, Kinsley on 2013/04/11?\", \"yes\"], [\"Did I talk to anyone on 2013/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/12\": {\"exercise\": {\"eid\": \"e2101\", \"logical_representation\": [\"2013/04/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/04/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2102\", \"logical_representation\": [\"2013/04/12\", \"dinner\", \"indian food\", \"Piper, Piper, Kinsley, Hazel, Olivia, Lydia, Rylee, Claire\"], \"text_template_based\": \"I had dinner with Piper, Piper, Kinsley, Hazel, Olivia, Lydia, Rylee, Claire. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/04/12?\", \"Piper, Piper, Kinsley, Hazel, Olivia, Lydia, Rylee, Claire\"], [\"what did I eat for dinner on 2013/04/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2103\", \"logical_representation\": [\"2013/04/12\", \"news\", \"20 minutes\"], \"text_template_based\": \"I watched news for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/12?\", \"20 minutes\"], [\"what did I watch on tv on 2013/04/12?\", \"news\"], [\"Did I watch tv on 2013/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/14\": {\"exercise\": {\"eid\": \"e2104\", \"logical_representation\": [\"2013/04/14\", \"biking\"], \"text_template_based\": \"I did biking on 2013/04/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2105\", \"logical_representation\": [\"2013/04/14\", \"lunch\", \"tacos\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had tacos for lunch with Jackson, Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/04/14?\", \"Jackson, Benjamin, Avery\"], [\"what did I eat for lunch on 2013/04/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2106\", \"logical_representation\": [\"2013/04/14\", \"dinner\", \"fish and chips\", \"Layla, Kinsley, Nora\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/04/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2013/04/15\": {\"dinner\": {\"eid\": \"e2107\", \"logical_representation\": [\"2013/04/15\", \"dinner\", \"pasta\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had pasta for dinner with Andrew, Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/04/15?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for dinner on 2013/04/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2108\", \"logical_representation\": [\"2013/04/15\", \"Rylee, Claire\", \"during lunch hours\", \"19 minutes\"], \"text_template_based\": \"I talked to Rylee, Claire for 19 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire during lunch hours on 2013/04/15?\", \"19 minutes\"], [\"who did I talk to on 2013/04/15?\", \"Rylee, Claire\"], [\"Did I talk to Rylee, Claire on 2013/04/15?\", \"yes\"], [\"Did I talk to anyone on 2013/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/17\": {\"chat0\": {\"eid\": \"e2109\", \"logical_representation\": [\"2013/04/17\", \"Kinsley, Eva, Rylee\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva, Rylee for 38 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Rylee in the early afternoon on 2013/04/17?\", \"38 minutes\"], [\"who did I talk to on 2013/04/17?\", \"Kinsley, Eva, Rylee\"], [\"Did I talk to Kinsley, Eva, Rylee on 2013/04/17?\", \"yes\"], [\"Did I talk to anyone on 2013/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/18\": {\"exercise\": {\"eid\": \"e2110\", \"logical_representation\": [\"2013/04/18\", \"biking\"], \"text_template_based\": \"I did biking on 2013/04/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/18?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2013/04/19\": {\"lunch\": {\"eid\": \"e2111\", \"logical_representation\": [\"2013/04/19\", \"lunch\", \"indian food\", \"Hazel, Claire, Piper, Avery, Eva, Piper, Layla, Olivia, Kinsley, Rylee\"], \"text_template_based\": \"I had lunch with Hazel, Claire, Piper, Avery, Eva, Piper, Layla, Olivia, Kinsley, Rylee. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/04/19?\", \"Hazel, Claire, Piper, Avery, Eva, Piper, Layla, Olivia, Kinsley, Rylee\"], [\"what did I eat for lunch on 2013/04/19\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2112\", \"logical_representation\": [\"2013/04/19\", \"Layla, Kinsley, Eva, Rylee\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Layla, Kinsley, Eva, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Eva, Rylee in the morning on 2013/04/19?\", \"46 minutes\"], [\"who did I talk to on 2013/04/19?\", \"Layla, Kinsley, Eva, Rylee\"], [\"Did I talk to Layla, Kinsley, Eva, Rylee on 2013/04/19?\", \"yes\"], [\"Did I talk to anyone on 2013/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/20\": {\"exercise\": {\"eid\": \"e2113\", \"logical_representation\": [\"2013/04/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/04/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2114\", \"logical_representation\": [\"2013/04/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/04/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2115\", \"logical_representation\": [\"2013/04/20\", \"lunch\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/04/20?\", \"Carter\"], [\"what did I eat for lunch on 2013/04/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2116\", \"logical_representation\": [\"2013/04/20\", \"dinner\", \"fish and chips\", \"Carter, Kayden\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/04/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2117\", \"logical_representation\": [\"2013/04/20\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/04/20?\", \"13 minutes\"], [\"what did I read on 2013/04/20?\", \"a book\"], [\"Did I read on 2013/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2118\", \"logical_representation\": [\"2013/04/20\", \"news\", \"24 minutes\"], \"text_template_based\": \"I watched news for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/20?\", \"24 minutes\"], [\"what did I watch on tv on 2013/04/20?\", \"news\"], [\"Did I watch tv on 2013/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/21\": {\"exercise\": {\"eid\": \"e2119\", \"logical_representation\": [\"2013/04/21\", \"biking\"], \"text_template_based\": \"I did biking on 2013/04/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2120\", \"logical_representation\": [\"2013/04/21\", \"Claire, Kinsley, Nora\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I talked to Claire, Kinsley, Nora for 29 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Nora during lunch hours on 2013/04/21?\", \"29 minutes\"], [\"who did I talk to on 2013/04/21?\", \"Claire, Kinsley, Nora\"], [\"Did I talk to Claire, Kinsley, Nora on 2013/04/21?\", \"yes\"], [\"Did I talk to anyone on 2013/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2121\", \"logical_representation\": [\"2013/04/21\", \"a documentary\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/04/21?\", \"49 minutes\"], [\"what did I watch on tv on 2013/04/21?\", \"a documentary\"], [\"Did I watch tv on 2013/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/23\": {\"breakfast\": {\"eid\": \"e2123\", \"logical_representation\": [\"2013/04/23\", \"breakfast\", \"cereals\", \"Emily, Carter\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/04/23\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2013/04/24\": {\"breakfast\": {\"eid\": \"e2124\", \"logical_representation\": [\"2013/04/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Kinsley, Olivia, Piper, Rylee, Nora, Lydia\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/04/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2013/04/25\": {\"exercise\": {\"eid\": \"e2125\", \"logical_representation\": [\"2013/04/25\", \"running\"], \"text_template_based\": \"I did running on 2013/04/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2126\", \"logical_representation\": [\"2013/04/25\", \"Olivia, Eva\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Olivia, Eva for 11 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva in the early evening on 2013/04/25?\", \"11 minutes\"], [\"who did I talk to on 2013/04/25?\", \"Olivia, Eva\"], [\"Did I talk to Olivia, Eva on 2013/04/25?\", \"yes\"], [\"Did I talk to anyone on 2013/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/04/28\": {\"exercise\": {\"eid\": \"e2128\", \"logical_representation\": [\"2013/04/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/04/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/04/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2013/04/29\": {\"lunch\": {\"eid\": \"e2129\", \"logical_representation\": [\"2013/04/29\", \"lunch\", \"chinese food\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had chinese food for lunch with Andrew, Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/04/29?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2013/04/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2130\", \"logical_representation\": [\"2013/04/29\", \"Kinsley, Eva, Piper\", \"in the early afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva, Piper for 14 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Piper in the early afternoon on 2013/04/29?\", \"14 minutes\"], [\"who did I talk to on 2013/04/29?\", \"Kinsley, Eva, Piper\"], [\"Did I talk to Kinsley, Eva, Piper on 2013/04/29?\", \"yes\"], [\"Did I talk to anyone on 2013/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/01\": {\"lunch\": {\"eid\": \"e2133\", \"logical_representation\": [\"2013/05/01\", \"lunch\", \"indian food\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/05/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2134\", \"logical_representation\": [\"2013/05/01\", \"Nevaeh, Avery, Eva, Kinsley\", \"during lunch hours\", \"5 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Avery, Eva, Kinsley for 5 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Eva, Kinsley during lunch hours on 2013/05/01?\", \"5 minutes\"], [\"who did I talk to on 2013/05/01?\", \"Nevaeh, Avery, Eva, Kinsley\"], [\"Did I talk to Nevaeh, Avery, Eva, Kinsley on 2013/05/01?\", \"yes\"], [\"Did I talk to anyone on 2013/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/02\": {\"breakfast\": {\"eid\": \"e2135\", \"logical_representation\": [\"2013/05/02\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/05/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2136\", \"logical_representation\": [\"2013/05/02\", \"dinner\", \"indian food\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/05/02\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2013/05/05\": {\"read\": {\"eid\": \"e2137\", \"logical_representation\": [\"2013/05/05\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/05/05?\", \"30 minutes\"], [\"what did I read on 2013/05/05?\", \"news\"], [\"Did I read on 2013/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2138\", \"logical_representation\": [\"2013/05/05\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/05?\", \"37 minutes\"], [\"what did I watch on tv on 2013/05/05?\", \"news\"], [\"Did I watch tv on 2013/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/07\": {\"breakfast\": {\"eid\": \"e2141\", \"logical_representation\": [\"2013/05/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Rylee, Avery, Layla, Kinsley, Nevaeh, Piper, Nora\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Hazel, Rylee, Avery, Layla, Kinsley, Nevaeh, Piper, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/05/07?\", \"Hazel, Rylee, Avery, Layla, Kinsley, Nevaeh, Piper, Nora\"], [\"what did I eat for breakfast on 2013/05/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2142\", \"logical_representation\": [\"2013/05/07\", \"lunch\", \"chinese food\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had chinese food for lunch with Jackson, Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/05/07?\", \"Jackson, Avery, Benjamin\"], [\"what did I eat for lunch on 2013/05/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2143\", \"logical_representation\": [\"2013/05/07\", \"dinner\", \"indian food\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/05/07\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2013/05/09\": {\"lunch\": {\"eid\": \"e2145\", \"logical_representation\": [\"2013/05/09\", \"lunch\", \"tacos\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had tacos for lunch with Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/05/09?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2013/05/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2146\", \"logical_representation\": [\"2013/05/09\", \"Avery, Claire\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Avery, Claire for 50 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire in the early evening on 2013/05/09?\", \"50 minutes\"], [\"who did I talk to on 2013/05/09?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2013/05/09?\", \"yes\"], [\"Did I talk to anyone on 2013/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/11\": {\"breakfast\": {\"eid\": \"e2149\", \"logical_representation\": [\"2013/05/11\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/05/11?\", \"Emily\"], [\"what did I eat for breakfast on 2013/05/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2150\", \"logical_representation\": [\"2013/05/11\", \"Piper, Nora, Layla\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Layla for 40 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Layla late in the evening on 2013/05/11?\", \"40 minutes\"], [\"who did I talk to on 2013/05/11?\", \"Piper, Nora, Layla\"], [\"Did I talk to Piper, Nora, Layla on 2013/05/11?\", \"yes\"], [\"Did I talk to anyone on 2013/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2151\", \"logical_representation\": [\"2013/05/11\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/05/11?\", \"37 minutes\"], [\"what did I read on 2013/05/11?\", \"a book\"], [\"Did I read on 2013/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/12\": {\"breakfast\": {\"eid\": \"e2152\", \"logical_representation\": [\"2013/05/12\", \"breakfast\", \"pancakes\", \"Olivia, Piper, Piper, Hazel, Kinsley, Nora, Lydia, Rylee, Layla, Claire\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/05/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2153\", \"logical_representation\": [\"2013/05/12\", \"Nevaeh\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 34 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2013/05/12?\", \"34 minutes\"], [\"who did I talk to on 2013/05/12?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2013/05/12?\", \"yes\"], [\"Did I talk to anyone on 2013/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2154\", \"logical_representation\": [\"2013/05/12\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/12?\", \"43 minutes\"], [\"what did I watch on tv on 2013/05/12?\", \"news\"], [\"Did I watch tv on 2013/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/13\": {\"chat0\": {\"eid\": \"e2155\", \"logical_representation\": [\"2013/05/13\", \"Eva\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early evening on 2013/05/13?\", \"24 minutes\"], [\"who did I talk to on 2013/05/13?\", \"Eva\"], [\"Did I talk to Eva on 2013/05/13?\", \"yes\"], [\"Did I talk to anyone on 2013/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/14\": {\"read\": {\"eid\": \"e2156\", \"logical_representation\": [\"2013/05/14\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/05/14?\", \"16 minutes\"], [\"what did I read on 2013/05/14?\", \"a book\"], [\"Did I read on 2013/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/16\": {\"read\": {\"eid\": \"e2157\", \"logical_representation\": [\"2013/05/16\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/05/16?\", \"32 minutes\"], [\"what did I read on 2013/05/16?\", \"news\"], [\"Did I read on 2013/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/17\": {\"lunch\": {\"eid\": \"e2158\", \"logical_representation\": [\"2013/05/17\", \"lunch\", \"pasta\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/05/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2159\", \"logical_representation\": [\"2013/05/17\", \"Claire, Hazel, Nevaeh, Rylee\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Claire, Hazel, Nevaeh, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Nevaeh, Rylee in the early afternoon on 2013/05/17?\", \"52 minutes\"], [\"who did I talk to on 2013/05/17?\", \"Claire, Hazel, Nevaeh, Rylee\"], [\"Did I talk to Claire, Hazel, Nevaeh, Rylee on 2013/05/17?\", \"yes\"], [\"Did I talk to anyone on 2013/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/18\": {\"chat0\": {\"eid\": \"e2160\", \"logical_representation\": [\"2013/05/18\", \"Hazel\", \"in the early afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Hazel for 5 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2013/05/18?\", \"5 minutes\"], [\"who did I talk to on 2013/05/18?\", \"Hazel\"], [\"Did I talk to Hazel on 2013/05/18?\", \"yes\"], [\"Did I talk to anyone on 2013/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/20\": {\"breakfast\": {\"eid\": \"e2161\", \"logical_representation\": [\"2013/05/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Carter, Kayden, Andrew. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/05/20?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2013/05/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2013/05/21\": {\"exercise\": {\"eid\": \"e2162\", \"logical_representation\": [\"2013/05/21\", \"biking\"], \"text_template_based\": \"I did biking on 2013/05/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2163\", \"logical_representation\": [\"2013/05/21\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/05/21?\", \"41 minutes\"], [\"what did I read on 2013/05/21?\", \"a book\"], [\"Did I read on 2013/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/22\": {\"breakfast\": {\"eid\": \"e2164\", \"logical_representation\": [\"2013/05/22\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/05/22?\", \"Kayden, Andrew\"], [\"what did I eat for breakfast on 2013/05/22\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2165\", \"logical_representation\": [\"2013/05/22\", \"news\", \"24 minutes\"], \"text_template_based\": \"I watched news for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/22?\", \"24 minutes\"], [\"what did I watch on tv on 2013/05/22?\", \"news\"], [\"Did I watch tv on 2013/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/23\": {\"chat0\": {\"eid\": \"e2166\", \"logical_representation\": [\"2013/05/23\", \"Kinsley\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2013/05/23?\", \"52 minutes\"], [\"who did I talk to on 2013/05/23?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2013/05/23?\", \"yes\"], [\"Did I talk to anyone on 2013/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/26\": {\"watch tv\": {\"eid\": \"e2171\", \"logical_representation\": [\"2013/05/26\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I watched a tv series for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/05/26?\", \"26 minutes\"], [\"what did I watch on tv on 2013/05/26?\", \"a tv series\"], [\"Did I watch tv on 2013/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/05/28\": {\"exercise\": {\"eid\": \"e2172\", \"logical_representation\": [\"2013/05/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/05/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/05/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2173\", \"logical_representation\": [\"2013/05/28\", \"breakfast\", \"peanut-butter-jam\", \"Claire, Rylee, Avery, Olivia, Piper, Hazel, Lydia, Eva, Kinsley, Nora, Nevaeh, Piper\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/05/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2013/05/29\": {\"lunch\": {\"eid\": \"e2174\", \"logical_representation\": [\"2013/05/29\", \"lunch\", \"pasta\", \"Olivia, Nora, Kinsley, Piper, Rylee, Layla, Claire, Hazel, Nevaeh, Piper, Eva, Lydia\"], \"text_template_based\": \"I had pasta for lunch with Olivia, Nora, Kinsley, Piper, Rylee, Layla, Claire, Hazel, Nevaeh, Piper, Eva, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/05/29?\", \"Olivia, Nora, Kinsley, Piper, Rylee, Layla, Claire, Hazel, Nevaeh, Piper, Eva, Lydia\"], [\"what did I eat for lunch on 2013/05/29\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2013/05/31\": {\"social media\": {\"eid\": \"e2177\", \"logical_representation\": [\"2013/05/31\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/05/31?\", \"47 minutes\"], [\"what did I read on 2013/05/31?\", \"social media\"], [\"Did I read on 2013/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/02\": {\"watch tv\": {\"eid\": \"e2180\", \"logical_representation\": [\"2013/06/02\", \"a tv series\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/02?\", \"16 minutes\"], [\"what did I watch on tv on 2013/06/02?\", \"a tv series\"], [\"Did I watch tv on 2013/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/05\": {\"breakfast\": {\"eid\": \"e2183\", \"logical_representation\": [\"2013/06/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2184\", \"logical_representation\": [\"2013/06/05\", \"Kinsley, Piper, Olivia\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Kinsley, Piper, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Olivia in the late afternoon on 2013/06/05?\", \"50 minutes\"], [\"who did I talk to on 2013/06/05?\", \"Kinsley, Piper, Olivia\"], [\"Did I talk to Kinsley, Piper, Olivia on 2013/06/05?\", \"yes\"], [\"Did I talk to anyone on 2013/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2185\", \"logical_representation\": [\"2013/06/05\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/06/05?\", \"31 minutes\"], [\"what did I read on 2013/06/05?\", \"news\"], [\"Did I read on 2013/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/06\": {\"dinner\": {\"eid\": \"e2186\", \"logical_representation\": [\"2013/06/06\", \"dinner\", \"chinese food\", \"Eva\"], \"text_template_based\": \"I had dinner with Eva. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/06/06?\", \"Eva\"], [\"what did I eat for dinner on 2013/06/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2187\", \"logical_representation\": [\"2013/06/06\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/06?\", \"12 minutes\"], [\"what did I watch on tv on 2013/06/06?\", \"a tv series\"], [\"Did I watch tv on 2013/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/08\": {\"breakfast\": {\"eid\": \"e2191\", \"logical_representation\": [\"2013/06/08\", \"breakfast\", \"oatmeal\", \"Rylee, Nora, Claire, Nevaeh, Eva, Avery, Olivia, Piper, Layla, Piper, Lydia, Hazel, Kinsley\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/08\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2013/06/10\": {\"exercise\": {\"eid\": \"e2196\", \"logical_representation\": [\"2013/06/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/06/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2197\", \"logical_representation\": [\"2013/06/10\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Emily, Kayden, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/06/10?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for breakfast on 2013/06/10\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2198\", \"logical_representation\": [\"2013/06/10\", \"dinner\", \"sandwich\", \"Andrew, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/06/10?\", \"Andrew, Carter\"], [\"what did I eat for dinner on 2013/06/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2199\", \"logical_representation\": [\"2013/06/10\", \"Claire, Olivia\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia during lunch hours on 2013/06/10?\", \"26 minutes\"], [\"who did I talk to on 2013/06/10?\", \"Claire, Olivia\"], [\"Did I talk to Claire, Olivia on 2013/06/10?\", \"yes\"], [\"Did I talk to anyone on 2013/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/11\": {\"exercise\": {\"eid\": \"e2200\", \"logical_representation\": [\"2013/06/11\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/06/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/11?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2201\", \"logical_representation\": [\"2013/06/11\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/11?\", \"20 minutes\"], [\"what did I watch on tv on 2013/06/11?\", \"news\"], [\"Did I watch tv on 2013/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/12\": {\"exercise\": {\"eid\": \"e2202\", \"logical_representation\": [\"2013/06/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/06/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2203\", \"logical_representation\": [\"2013/06/12\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2013/06/13\": {\"read\": {\"eid\": \"e2204\", \"logical_representation\": [\"2013/06/13\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/06/13?\", \"45 minutes\"], [\"what did I read on 2013/06/13?\", \"a book\"], [\"Did I read on 2013/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2205\", \"logical_representation\": [\"2013/06/13\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/13?\", \"18 minutes\"], [\"what did I watch on tv on 2013/06/13?\", \"a movie\"], [\"Did I watch tv on 2013/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/14\": {\"dinner\": {\"eid\": \"e2206\", \"logical_representation\": [\"2013/06/14\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/06/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2207\", \"logical_representation\": [\"2013/06/14\", \"Kinsley, Eva, Piper, Lydia\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Kinsley, Eva, Piper, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Piper, Lydia during lunch hours on 2013/06/14?\", \"14 minutes\"], [\"who did I talk to on 2013/06/14?\", \"Kinsley, Eva, Piper, Lydia\"], [\"Did I talk to Kinsley, Eva, Piper, Lydia on 2013/06/14?\", \"yes\"], [\"Did I talk to anyone on 2013/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2208\", \"logical_representation\": [\"2013/06/14\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/06/14?\", \"46 minutes\"], [\"what did I read on 2013/06/14?\", \"a book\"], [\"Did I read on 2013/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/15\": {\"breakfast\": {\"eid\": \"e2209\", \"logical_representation\": [\"2013/06/15\", \"breakfast\", \"toast and cheese\", \"Piper, Rylee, Avery, Lydia, Eva\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2210\", \"logical_representation\": [\"2013/06/15\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/06/15?\", \"18 minutes\"], [\"what did I read on 2013/06/15?\", \"social media\"], [\"Did I read on 2013/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/16\": {\"breakfast\": {\"eid\": \"e2211\", \"logical_representation\": [\"2013/06/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/06/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2212\", \"logical_representation\": [\"2013/06/16\", \"lunch\", \"steak\", \"Kinsley, Hazel, Piper, Claire, Olivia, Nora, Lydia, Piper, Avery, Layla\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/06/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2213\", \"logical_representation\": [\"2013/06/16\", \"dinner\", \"sushi\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/06/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2214\", \"logical_representation\": [\"2013/06/16\", \"Lydia, Avery, Rylee\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery, Rylee for 52 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Rylee in the early afternoon on 2013/06/16?\", \"52 minutes\"], [\"who did I talk to on 2013/06/16?\", \"Lydia, Avery, Rylee\"], [\"Did I talk to Lydia, Avery, Rylee on 2013/06/16?\", \"yes\"], [\"Did I talk to anyone on 2013/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2215\", \"logical_representation\": [\"2013/06/16\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/06/16?\", \"5 minutes\"], [\"what did I read on 2013/06/16?\", \"news\"], [\"Did I read on 2013/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/17\": {\"lunch\": {\"eid\": \"e2216\", \"logical_representation\": [\"2013/06/17\", \"lunch\", \"sushi\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/06/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2217\", \"logical_representation\": [\"2013/06/17\", \"Layla\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2013/06/17?\", \"32 minutes\"], [\"who did I talk to on 2013/06/17?\", \"Layla\"], [\"Did I talk to Layla on 2013/06/17?\", \"yes\"], [\"Did I talk to anyone on 2013/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2218\", \"logical_representation\": [\"2013/06/17\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/17?\", \"32 minutes\"], [\"what did I watch on tv on 2013/06/17?\", \"a tv series\"], [\"Did I watch tv on 2013/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/18\": {\"dinner\": {\"eid\": \"e2219\", \"logical_representation\": [\"2013/06/18\", \"dinner\", \"fish and chips\", \"Willow\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/06/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2220\", \"logical_representation\": [\"2013/06/18\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/06/18?\", \"52 minutes\"], [\"what did I read on 2013/06/18?\", \"news\"], [\"Did I read on 2013/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/19\": {\"social media\": {\"eid\": \"e2221\", \"logical_representation\": [\"2013/06/19\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/06/19?\", \"46 minutes\"], [\"what did I read on 2013/06/19?\", \"social media\"], [\"Did I read on 2013/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2222\", \"logical_representation\": [\"2013/06/19\", \"news\", \"33 minutes\"], \"text_template_based\": \"I watched news for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/19?\", \"33 minutes\"], [\"what did I watch on tv on 2013/06/19?\", \"news\"], [\"Did I watch tv on 2013/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/20\": {\"exercise\": {\"eid\": \"e2223\", \"logical_representation\": [\"2013/06/20\", \"biking\"], \"text_template_based\": \"I did biking on 2013/06/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2224\", \"logical_representation\": [\"2013/06/20\", \"dinner\", \"chinese food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had chinese food for dinner with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/06/20?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2013/06/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2225\", \"logical_representation\": [\"2013/06/20\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/06/20?\", \"7 minutes\"], [\"what did I read on 2013/06/20?\", \"news\"], [\"Did I read on 2013/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/23\": {\"chat0\": {\"eid\": \"e2226\", \"logical_representation\": [\"2013/06/23\", \"Avery, Piper, Nora\", \"in the early afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Nora for 5 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Nora in the early afternoon on 2013/06/23?\", \"5 minutes\"], [\"who did I talk to on 2013/06/23?\", \"Avery, Piper, Nora\"], [\"Did I talk to Avery, Piper, Nora on 2013/06/23?\", \"yes\"], [\"Did I talk to anyone on 2013/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2227\", \"logical_representation\": [\"2013/06/23\", \"news\", \"25 minutes\"], \"text_template_based\": \"I watched news for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/06/23?\", \"25 minutes\"], [\"what did I watch on tv on 2013/06/23?\", \"news\"], [\"Did I watch tv on 2013/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/24\": {\"exercise\": {\"eid\": \"e2228\", \"logical_representation\": [\"2013/06/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/06/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2229\", \"logical_representation\": [\"2013/06/24\", \"lunch\", \"tacos\", \"Avery, Benjamin\"], \"text_template_based\": \"I had tacos for lunch with Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/06/24?\", \"Avery, Benjamin\"], [\"what did I eat for lunch on 2013/06/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2230\", \"logical_representation\": [\"2013/06/24\", \"Hazel\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2013/06/24?\", \"19 minutes\"], [\"who did I talk to on 2013/06/24?\", \"Hazel\"], [\"Did I talk to Hazel on 2013/06/24?\", \"yes\"], [\"Did I talk to anyone on 2013/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/25\": {\"read\": {\"eid\": \"e2231\", \"logical_representation\": [\"2013/06/25\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/06/25?\", \"13 minutes\"], [\"what did I read on 2013/06/25?\", \"news\"], [\"Did I read on 2013/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/26\": {\"chat0\": {\"eid\": \"e2232\", \"logical_representation\": [\"2013/06/26\", \"Layla, Nora, Kinsley\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Layla, Nora, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Kinsley in the early evening on 2013/06/26?\", \"7 minutes\"], [\"who did I talk to on 2013/06/26?\", \"Layla, Nora, Kinsley\"], [\"Did I talk to Layla, Nora, Kinsley on 2013/06/26?\", \"yes\"], [\"Did I talk to anyone on 2013/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2233\", \"logical_representation\": [\"2013/06/26\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/06/26?\", \"43 minutes\"], [\"what did I read on 2013/06/26?\", \"social media\"], [\"Did I read on 2013/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/29\": {\"chat0\": {\"eid\": \"e2235\", \"logical_representation\": [\"2013/06/29\", \"Avery, Rylee, Layla\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I talked to Avery, Rylee, Layla for 17 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee, Layla in the morning on 2013/06/29?\", \"17 minutes\"], [\"who did I talk to on 2013/06/29?\", \"Avery, Rylee, Layla\"], [\"Did I talk to Avery, Rylee, Layla on 2013/06/29?\", \"yes\"], [\"Did I talk to anyone on 2013/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/06/30\": {\"exercise\": {\"eid\": \"e2236\", \"logical_representation\": [\"2013/06/30\", \"running\"], \"text_template_based\": \"I did running on 2013/06/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/06/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2237\", \"logical_representation\": [\"2013/06/30\", \"dinner\", \"sushi\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/06/30\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2013/07/01\": {\"exercise\": {\"eid\": \"e2238\", \"logical_representation\": [\"2013/07/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/07/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2239\", \"logical_representation\": [\"2013/07/01\", \"breakfast\", \"toast and cheese\", \"Piper, Avery, Layla, Piper, Claire, Olivia\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2240\", \"logical_representation\": [\"2013/07/01\", \"Nora\", \"during lunch hours\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2013/07/01?\", \"45 minutes\"], [\"who did I talk to on 2013/07/01?\", \"Nora\"], [\"Did I talk to Nora on 2013/07/01?\", \"yes\"], [\"Did I talk to anyone on 2013/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/03\": {\"breakfast\": {\"eid\": \"e2246\", \"logical_representation\": [\"2013/07/03\", \"breakfast\", \"cereals\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2247\", \"logical_representation\": [\"2013/07/03\", \"dinner\", \"tacos\", \"Emily, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/07/03?\", \"Emily, Kayden\"], [\"what did I eat for dinner on 2013/07/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2248\", \"logical_representation\": [\"2013/07/03\", \"social media\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/07/03?\", \"15 minutes\"], [\"what did I read on 2013/07/03?\", \"social media\"], [\"Did I read on 2013/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2249\", \"logical_representation\": [\"2013/07/03\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/03?\", \"32 minutes\"], [\"what did I watch on tv on 2013/07/03?\", \"a tv series\"], [\"Did I watch tv on 2013/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/04\": {\"chat0\": {\"eid\": \"e2250\", \"logical_representation\": [\"2013/07/04\", \"Nevaeh, Piper, Rylee\", \"in the morning\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Nevaeh, Piper, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Rylee in the morning on 2013/07/04?\", \"10 minutes\"], [\"who did I talk to on 2013/07/04?\", \"Nevaeh, Piper, Rylee\"], [\"Did I talk to Nevaeh, Piper, Rylee on 2013/07/04?\", \"yes\"], [\"Did I talk to anyone on 2013/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/07\": {\"chat0\": {\"eid\": \"e2253\", \"logical_representation\": [\"2013/07/07\", \"Piper, Hazel, Piper, Nevaeh\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel, Piper, Nevaeh for 13 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Piper, Nevaeh during lunch hours on 2013/07/07?\", \"13 minutes\"], [\"who did I talk to on 2013/07/07?\", \"Piper, Hazel, Piper, Nevaeh\"], [\"Did I talk to Piper, Hazel, Piper, Nevaeh on 2013/07/07?\", \"yes\"], [\"Did I talk to anyone on 2013/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2254\", \"logical_representation\": [\"2013/07/07\", \"a tv series\", \"46 minutes\"], \"text_template_based\": \"I watched a tv series for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/07?\", \"46 minutes\"], [\"what did I watch on tv on 2013/07/07?\", \"a tv series\"], [\"Did I watch tv on 2013/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/11\": {\"read\": {\"eid\": \"e2257\", \"logical_representation\": [\"2013/07/11\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/07/11?\", \"7 minutes\"], [\"what did I read on 2013/07/11?\", \"news\"], [\"Did I read on 2013/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/14\": {\"lunch\": {\"eid\": \"e2259\", \"logical_representation\": [\"2013/07/14\", \"lunch\", \"indian food\", \"Avery, Layla, Hazel, Piper, Kinsley, Claire, Olivia, Lydia, Nora, Nevaeh\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/07/14\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2013/07/15\": {\"dinner\": {\"eid\": \"e2260\", \"logical_representation\": [\"2013/07/15\", \"dinner\", \"fish and chips\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/07/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2261\", \"logical_representation\": [\"2013/07/15\", \"Eva, Rylee, Piper, Piper\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee, Piper, Piper for 26 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Piper, Piper late in the evening on 2013/07/15?\", \"26 minutes\"], [\"who did I talk to on 2013/07/15?\", \"Eva, Rylee, Piper, Piper\"], [\"Did I talk to Eva, Rylee, Piper, Piper on 2013/07/15?\", \"yes\"], [\"Did I talk to anyone on 2013/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2262\", \"logical_representation\": [\"2013/07/15\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/07/15?\", \"24 minutes\"], [\"what did I watch on tv on 2013/07/15?\", \"a tv series\"], [\"Did I watch tv on 2013/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/16\": {\"chat0\": {\"eid\": \"e2263\", \"logical_representation\": [\"2013/07/16\", \"Avery, Layla, Olivia\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Avery, Layla, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Olivia in the early afternoon on 2013/07/16?\", \"49 minutes\"], [\"who did I talk to on 2013/07/16?\", \"Avery, Layla, Olivia\"], [\"Did I talk to Avery, Layla, Olivia on 2013/07/16?\", \"yes\"], [\"Did I talk to anyone on 2013/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/18\": {\"chat0\": {\"eid\": \"e2265\", \"logical_representation\": [\"2013/07/18\", \"Layla\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2013/07/18?\", \"14 minutes\"], [\"who did I talk to on 2013/07/18?\", \"Layla\"], [\"Did I talk to Layla on 2013/07/18?\", \"yes\"], [\"Did I talk to anyone on 2013/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/07/19\": {\"exercise\": {\"eid\": \"e2266\", \"logical_representation\": [\"2013/07/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/07/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2267\", \"logical_representation\": [\"2013/07/19\", \"breakfast\", \"oatmeal\", \"Olivia, Piper, Kinsley, Avery, Claire, Hazel, Nevaeh, Rylee\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/07/19\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2013/07/24\": {\"exercise\": {\"eid\": \"e2269\", \"logical_representation\": [\"2013/07/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/07/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2270\", \"logical_representation\": [\"2013/07/24\", \"lunch\", \"steak\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/07/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2271\", \"logical_representation\": [\"2013/07/24\", \"dinner\", \"sandwich\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/07/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2013/07/31\": {\"exercise\": {\"eid\": \"e2277\", \"logical_representation\": [\"2013/07/31\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/07/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/07/31?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2278\", \"logical_representation\": [\"2013/07/31\", \"lunch\", \"a burger\", \"Benjamin\"], \"text_template_based\": \"I had lunch with Benjamin. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/07/31?\", \"Benjamin\"], [\"what did I eat for lunch on 2013/07/31\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2279\", \"logical_representation\": [\"2013/07/31\", \"Eva\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2013/07/31?\", \"24 minutes\"], [\"who did I talk to on 2013/07/31?\", \"Eva\"], [\"Did I talk to Eva on 2013/07/31?\", \"yes\"], [\"Did I talk to anyone on 2013/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/01\": {\"exercise\": {\"eid\": \"e2280\", \"logical_representation\": [\"2013/08/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2281\", \"logical_representation\": [\"2013/08/01\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/08/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2282\", \"logical_representation\": [\"2013/08/01\", \"lunch\", \"pasta\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2283\", \"logical_representation\": [\"2013/08/01\", \"dinner\", \"steak\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/01\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2013/08/02\": {\"dinner\": {\"eid\": \"e2284\", \"logical_representation\": [\"2013/08/02\", \"dinner\", \"tacos\", \"Lydia, Olivia, Hazel, Claire, Nora, Eva, Nevaeh, Rylee, Piper, Avery\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2285\", \"logical_representation\": [\"2013/08/02\", \"Nevaeh, Piper, Kinsley\", \"during lunch hours\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Nevaeh, Piper, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Kinsley during lunch hours on 2013/08/02?\", \"5 minutes\"], [\"who did I talk to on 2013/08/02?\", \"Nevaeh, Piper, Kinsley\"], [\"Did I talk to Nevaeh, Piper, Kinsley on 2013/08/02?\", \"yes\"], [\"Did I talk to anyone on 2013/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2286\", \"logical_representation\": [\"2013/08/02\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/08/02?\", \"55 minutes\"], [\"what did I read on 2013/08/02?\", \"a book\"], [\"Did I read on 2013/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/04\": {\"chat0\": {\"eid\": \"e2288\", \"logical_representation\": [\"2013/08/04\", \"Eva, Rylee, Piper, Hazel\", \"in the early evening\", \"54 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee, Piper, Hazel for 54 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Piper, Hazel in the early evening on 2013/08/04?\", \"54 minutes\"], [\"who did I talk to on 2013/08/04?\", \"Eva, Rylee, Piper, Hazel\"], [\"Did I talk to Eva, Rylee, Piper, Hazel on 2013/08/04?\", \"yes\"], [\"Did I talk to anyone on 2013/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/05\": {\"lunch\": {\"eid\": \"e2289\", \"logical_representation\": [\"2013/08/05\", \"lunch\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/05\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2290\", \"logical_representation\": [\"2013/08/05\", \"dinner\", \"chinese food\", \"Hazel, Piper, Nevaeh\"], \"text_template_based\": \"I had dinner with Hazel, Piper, Nevaeh. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/08/05?\", \"Hazel, Piper, Nevaeh\"], [\"what did I eat for dinner on 2013/08/05\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2013/08/06\": {\"social media\": {\"eid\": \"e2291\", \"logical_representation\": [\"2013/08/06\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/08/06?\", \"33 minutes\"], [\"what did I read on 2013/08/06?\", \"social media\"], [\"Did I read on 2013/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/07\": {\"lunch\": {\"eid\": \"e2292\", \"logical_representation\": [\"2013/08/07\", \"lunch\", \"fish and chips\", \"Avery\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2293\", \"logical_representation\": [\"2013/08/07\", \"Nora\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I talked to Nora for 17 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the morning on 2013/08/07?\", \"17 minutes\"], [\"who did I talk to on 2013/08/07?\", \"Nora\"], [\"Did I talk to Nora on 2013/08/07?\", \"yes\"], [\"Did I talk to anyone on 2013/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/08\": {\"exercise\": {\"eid\": \"e2294\", \"logical_representation\": [\"2013/08/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/08/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2295\", \"logical_representation\": [\"2013/08/08\", \"dinner\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2296\", \"logical_representation\": [\"2013/08/08\", \"Layla\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2013/08/08?\", \"20 minutes\"], [\"who did I talk to on 2013/08/08?\", \"Layla\"], [\"Did I talk to Layla on 2013/08/08?\", \"yes\"], [\"Did I talk to anyone on 2013/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2297\", \"logical_representation\": [\"2013/08/08\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/08?\", \"19 minutes\"], [\"what did I watch on tv on 2013/08/08?\", \"a movie\"], [\"Did I watch tv on 2013/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/09\": {\"exercise\": {\"eid\": \"e2298\", \"logical_representation\": [\"2013/08/09\", \"running\"], \"text_template_based\": \"I did running on 2013/08/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/09?\", \"running\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2299\", \"logical_representation\": [\"2013/08/09\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/08/09?\", \"45 minutes\"], [\"what did I read on 2013/08/09?\", \"a book\"], [\"Did I read on 2013/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/11\": {\"watch tv\": {\"eid\": \"e2301\", \"logical_representation\": [\"2013/08/11\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/11?\", \"41 minutes\"], [\"what did I watch on tv on 2013/08/11?\", \"news\"], [\"Did I watch tv on 2013/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/12\": {\"dinner\": {\"eid\": \"e2302\", \"logical_representation\": [\"2013/08/12\", \"dinner\", \"steak\", \"Kayden\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/08/12\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2013/08/13\": {\"watch tv\": {\"eid\": \"e2303\", \"logical_representation\": [\"2013/08/13\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I watched a tv series for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/13?\", \"26 minutes\"], [\"what did I watch on tv on 2013/08/13?\", \"a tv series\"], [\"Did I watch tv on 2013/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/14\": {\"exercise\": {\"eid\": \"e2304\", \"logical_representation\": [\"2013/08/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/08/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2305\", \"logical_representation\": [\"2013/08/14\", \"Nora, Rylee, Olivia, Nevaeh\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Nora, Rylee, Olivia, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Olivia, Nevaeh in the early afternoon on 2013/08/14?\", \"11 minutes\"], [\"who did I talk to on 2013/08/14?\", \"Nora, Rylee, Olivia, Nevaeh\"], [\"Did I talk to Nora, Rylee, Olivia, Nevaeh on 2013/08/14?\", \"yes\"], [\"Did I talk to anyone on 2013/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/15\": {\"chat0\": {\"eid\": \"e2306\", \"logical_representation\": [\"2013/08/15\", \"Piper\", \"in the early evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2013/08/15?\", \"36 minutes\"], [\"who did I talk to on 2013/08/15?\", \"Piper\"], [\"Did I talk to Piper on 2013/08/15?\", \"yes\"], [\"Did I talk to anyone on 2013/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2307\", \"logical_representation\": [\"2013/08/15\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/08/15?\", \"5 minutes\"], [\"what did I read on 2013/08/15?\", \"news\"], [\"Did I read on 2013/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/16\": {\"breakfast\": {\"eid\": \"e2308\", \"logical_representation\": [\"2013/08/16\", \"breakfast\", \"pancakes\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/08/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/17\": {\"exercise\": {\"eid\": \"e2309\", \"logical_representation\": [\"2013/08/17\", \"running\"], \"text_template_based\": \"I did running on 2013/08/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2310\", \"logical_representation\": [\"2013/08/17\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I had indian food for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/08/17?\", \"Kayden\"], [\"what did I eat for dinner on 2013/08/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2311\", \"logical_representation\": [\"2013/08/17\", \"Avery, Piper, Lydia\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Lydia for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Lydia in the early evening on 2013/08/17?\", \"39 minutes\"], [\"who did I talk to on 2013/08/17?\", \"Avery, Piper, Lydia\"], [\"Did I talk to Avery, Piper, Lydia on 2013/08/17?\", \"yes\"], [\"Did I talk to anyone on 2013/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/19\": {\"watch tv\": {\"eid\": \"e2312\", \"logical_representation\": [\"2013/08/19\", \"a documentary\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/19?\", \"19 minutes\"], [\"what did I watch on tv on 2013/08/19?\", \"a documentary\"], [\"Did I watch tv on 2013/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/20\": {\"dinner\": {\"eid\": \"e2313\", \"logical_representation\": [\"2013/08/20\", \"dinner\", \"tacos\", \"Piper, Claire, Layla, Olivia, Hazel, Rylee, Kinsley, Nora, Lydia, Avery\"], \"text_template_based\": \"I had tacos for dinner with Piper, Claire, Layla, Olivia, Hazel, Rylee, Kinsley, Nora, Lydia, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/08/20?\", \"Piper, Claire, Layla, Olivia, Hazel, Rylee, Kinsley, Nora, Lydia, Avery\"], [\"what did I eat for dinner on 2013/08/20\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2013/08/21\": {\"exercise\": {\"eid\": \"e2314\", \"logical_representation\": [\"2013/08/21\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/08/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/21?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2013/08/25\": {\"chat0\": {\"eid\": \"e2319\", \"logical_representation\": [\"2013/08/25\", \"Nevaeh, Rylee\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee for 33 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee in the morning on 2013/08/25?\", \"33 minutes\"], [\"who did I talk to on 2013/08/25?\", \"Nevaeh, Rylee\"], [\"Did I talk to Nevaeh, Rylee on 2013/08/25?\", \"yes\"], [\"Did I talk to anyone on 2013/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/27\": {\"chat0\": {\"eid\": \"e2321\", \"logical_representation\": [\"2013/08/27\", \"Piper, Layla, Olivia\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Piper, Layla, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Olivia in the late afternoon on 2013/08/27?\", \"5 minutes\"], [\"who did I talk to on 2013/08/27?\", \"Piper, Layla, Olivia\"], [\"Did I talk to Piper, Layla, Olivia on 2013/08/27?\", \"yes\"], [\"Did I talk to anyone on 2013/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/28\": {\"chat0\": {\"eid\": \"e2322\", \"logical_representation\": [\"2013/08/28\", \"Avery\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Avery for 6 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2013/08/28?\", \"6 minutes\"], [\"who did I talk to on 2013/08/28?\", \"Avery\"], [\"Did I talk to Avery on 2013/08/28?\", \"yes\"], [\"Did I talk to anyone on 2013/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2323\", \"logical_representation\": [\"2013/08/28\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/08/28?\", \"26 minutes\"], [\"what did I read on 2013/08/28?\", \"a book\"], [\"Did I read on 2013/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/29\": {\"chat0\": {\"eid\": \"e2324\", \"logical_representation\": [\"2013/08/29\", \"Piper, Nevaeh, Olivia, Layla\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Piper, Nevaeh, Olivia, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Olivia, Layla late in the evening on 2013/08/29?\", \"32 minutes\"], [\"who did I talk to on 2013/08/29?\", \"Piper, Nevaeh, Olivia, Layla\"], [\"Did I talk to Piper, Nevaeh, Olivia, Layla on 2013/08/29?\", \"yes\"], [\"Did I talk to anyone on 2013/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/30\": {\"exercise\": {\"eid\": \"e2325\", \"logical_representation\": [\"2013/08/30\", \"running\"], \"text_template_based\": \"I did running on 2013/08/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/08/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2326\", \"logical_representation\": [\"2013/08/30\", \"lunch\", \"pasta\", \"Willow, Avery\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/08/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2327\", \"logical_representation\": [\"2013/08/30\", \"Claire, Nora, Layla\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Claire, Nora, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Layla in the late afternoon on 2013/08/30?\", \"48 minutes\"], [\"who did I talk to on 2013/08/30?\", \"Claire, Nora, Layla\"], [\"Did I talk to Claire, Nora, Layla on 2013/08/30?\", \"yes\"], [\"Did I talk to anyone on 2013/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2328\", \"logical_representation\": [\"2013/08/30\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/08/30?\", \"43 minutes\"], [\"what did I read on 2013/08/30?\", \"a book\"], [\"Did I read on 2013/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2329\", \"logical_representation\": [\"2013/08/30\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/08/30?\", \"29 minutes\"], [\"what did I watch on tv on 2013/08/30?\", \"news\"], [\"Did I watch tv on 2013/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/08/31\": {\"chat0\": {\"eid\": \"e2330\", \"logical_representation\": [\"2013/08/31\", \"Olivia\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2013/08/31?\", \"17 minutes\"], [\"who did I talk to on 2013/08/31?\", \"Olivia\"], [\"Did I talk to Olivia on 2013/08/31?\", \"yes\"], [\"Did I talk to anyone on 2013/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/03\": {\"dinner\": {\"eid\": \"e2333\", \"logical_representation\": [\"2013/09/03\", \"dinner\", \"indian food\", \"Kinsley, Lydia, Piper, Claire\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/09/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2334\", \"logical_representation\": [\"2013/09/03\", \"Lydia, Hazel\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Lydia, Hazel for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel in the morning on 2013/09/03?\", \"32 minutes\"], [\"who did I talk to on 2013/09/03?\", \"Lydia, Hazel\"], [\"Did I talk to Lydia, Hazel on 2013/09/03?\", \"yes\"], [\"Did I talk to anyone on 2013/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/04\": {\"chat0\": {\"eid\": \"e2335\", \"logical_representation\": [\"2013/09/04\", \"Lydia\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Lydia for 53 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2013/09/04?\", \"53 minutes\"], [\"who did I talk to on 2013/09/04?\", \"Lydia\"], [\"Did I talk to Lydia on 2013/09/04?\", \"yes\"], [\"Did I talk to anyone on 2013/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/06\": {\"chat0\": {\"eid\": \"e2336\", \"logical_representation\": [\"2013/09/06\", \"Hazel, Lydia\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia for 47 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia in the late afternoon on 2013/09/06?\", \"47 minutes\"], [\"who did I talk to on 2013/09/06?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2013/09/06?\", \"yes\"], [\"Did I talk to anyone on 2013/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/09\": {\"dinner\": {\"eid\": \"e2337\", \"logical_representation\": [\"2013/09/09\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/09/09\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2013/09/10\": {\"dinner\": {\"eid\": \"e2338\", \"logical_representation\": [\"2013/09/10\", \"dinner\", \"fish and chips\", \"Nora, Claire, Piper, Lydia, Eva, Rylee, Layla, Kinsley, Olivia, Nevaeh\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/09/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2339\", \"logical_representation\": [\"2013/09/10\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/09/10?\", \"34 minutes\"], [\"what did I read on 2013/09/10?\", \"news\"], [\"Did I read on 2013/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/11\": {\"breakfast\": {\"eid\": \"e2340\", \"logical_representation\": [\"2013/09/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Nora, Lydia, Layla, Nevaeh, Avery, Olivia, Eva, Hazel, Piper, Claire, Kinsley, Rylee\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2341\", \"logical_representation\": [\"2013/09/11\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/09/11?\", \"36 minutes\"], [\"what did I read on 2013/09/11?\", \"social media\"], [\"Did I read on 2013/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/12\": {\"lunch\": {\"eid\": \"e2342\", \"logical_representation\": [\"2013/09/12\", \"lunch\", \"pasta\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/09/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2343\", \"logical_representation\": [\"2013/09/12\", \"Nora, Piper, Avery, Eva\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Nora, Piper, Avery, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Avery, Eva in the early evening on 2013/09/12?\", \"25 minutes\"], [\"who did I talk to on 2013/09/12?\", \"Nora, Piper, Avery, Eva\"], [\"Did I talk to Nora, Piper, Avery, Eva on 2013/09/12?\", \"yes\"], [\"Did I talk to anyone on 2013/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/13\": {\"breakfast\": {\"eid\": \"e2344\", \"logical_representation\": [\"2013/09/13\", \"breakfast\", \"pancakes\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2345\", \"logical_representation\": [\"2013/09/13\", \"dinner\", \"tacos\", \"Nevaeh, Rylee\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/09/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2346\", \"logical_representation\": [\"2013/09/13\", \"Piper, Nevaeh, Piper, Hazel\", \"during lunch hours\", \"32 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Piper, Hazel for 32 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Piper, Hazel during lunch hours on 2013/09/13?\", \"32 minutes\"], [\"who did I talk to on 2013/09/13?\", \"Piper, Nevaeh, Piper, Hazel\"], [\"Did I talk to Piper, Nevaeh, Piper, Hazel on 2013/09/13?\", \"yes\"], [\"Did I talk to anyone on 2013/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/14\": {\"breakfast\": {\"eid\": \"e2347\", \"logical_representation\": [\"2013/09/14\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2348\", \"logical_representation\": [\"2013/09/14\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/14?\", \"8 minutes\"], [\"what did I watch on tv on 2013/09/14?\", \"news\"], [\"Did I watch tv on 2013/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/15\": {\"exercise\": {\"eid\": \"e2349\", \"logical_representation\": [\"2013/09/15\", \"biking\"], \"text_template_based\": \"I did biking on 2013/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2350\", \"logical_representation\": [\"2013/09/15\", \"dinner\", \"steak\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Kayden, Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/09/15?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2013/09/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2351\", \"logical_representation\": [\"2013/09/15\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/15?\", \"45 minutes\"], [\"what did I watch on tv on 2013/09/15?\", \"news\"], [\"Did I watch tv on 2013/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/17\": {\"exercise\": {\"eid\": \"e2352\", \"logical_representation\": [\"2013/09/17\", \"running\"], \"text_template_based\": \"I did running on 2013/09/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2353\", \"logical_representation\": [\"2013/09/17\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/09/17?\", \"8 minutes\"], [\"what did I read on 2013/09/17?\", \"a book\"], [\"Did I read on 2013/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/19\": {\"breakfast\": {\"eid\": \"e2354\", \"logical_representation\": [\"2013/09/19\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/09/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2355\", \"logical_representation\": [\"2013/09/19\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/09/19?\", \"12 minutes\"], [\"what did I read on 2013/09/19?\", \"social media\"], [\"Did I read on 2013/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/20\": {\"dinner\": {\"eid\": \"e2356\", \"logical_representation\": [\"2013/09/20\", \"dinner\", \"chinese food\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/09/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2357\", \"logical_representation\": [\"2013/09/20\", \"Rylee, Hazel, Nora\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Rylee, Hazel, Nora for 54 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel, Nora in the late afternoon on 2013/09/20?\", \"54 minutes\"], [\"who did I talk to on 2013/09/20?\", \"Rylee, Hazel, Nora\"], [\"Did I talk to Rylee, Hazel, Nora on 2013/09/20?\", \"yes\"], [\"Did I talk to anyone on 2013/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/21\": {\"lunch\": {\"eid\": \"e2358\", \"logical_representation\": [\"2013/09/21\", \"lunch\", \"sushi\", \"Avery\"], \"text_template_based\": \"I had sushi for lunch with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/09/21?\", \"Avery\"], [\"what did I eat for lunch on 2013/09/21\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2013/09/22\": {\"lunch\": {\"eid\": \"e2359\", \"logical_representation\": [\"2013/09/22\", \"lunch\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/09/22?\", \"Emily\"], [\"what did I eat for lunch on 2013/09/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2360\", \"logical_representation\": [\"2013/09/22\", \"Eva, Olivia\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Eva, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia during lunch hours on 2013/09/22?\", \"28 minutes\"], [\"who did I talk to on 2013/09/22?\", \"Eva, Olivia\"], [\"Did I talk to Eva, Olivia on 2013/09/22?\", \"yes\"], [\"Did I talk to anyone on 2013/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2361\", \"logical_representation\": [\"2013/09/22\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/09/22?\", \"43 minutes\"], [\"what did I read on 2013/09/22?\", \"news\"], [\"Did I read on 2013/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/23\": {\"chat0\": {\"eid\": \"e2362\", \"logical_representation\": [\"2013/09/23\", \"Nora, Claire, Piper, Avery\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Nora, Claire, Piper, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Piper, Avery in the early evening on 2013/09/23?\", \"17 minutes\"], [\"who did I talk to on 2013/09/23?\", \"Nora, Claire, Piper, Avery\"], [\"Did I talk to Nora, Claire, Piper, Avery on 2013/09/23?\", \"yes\"], [\"Did I talk to anyone on 2013/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/24\": {\"dinner\": {\"eid\": \"e2363\", \"logical_representation\": [\"2013/09/24\", \"dinner\", \"pasta\", \"Claire, Lydia, Nevaeh, Hazel, Piper, Olivia, Layla, Rylee, Nora, Kinsley, Avery, Piper, Eva\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/09/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2364\", \"logical_representation\": [\"2013/09/24\", \"Rylee\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2013/09/24?\", \"5 minutes\"], [\"who did I talk to on 2013/09/24?\", \"Rylee\"], [\"Did I talk to Rylee on 2013/09/24?\", \"yes\"], [\"Did I talk to anyone on 2013/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2365\", \"logical_representation\": [\"2013/09/24\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/24?\", \"23 minutes\"], [\"what did I watch on tv on 2013/09/24?\", \"news\"], [\"Did I watch tv on 2013/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/25\": {\"breakfast\": {\"eid\": \"e2366\", \"logical_representation\": [\"2013/09/25\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Andrew. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/09/25?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for breakfast on 2013/09/25\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2367\", \"logical_representation\": [\"2013/09/25\", \"dinner\", \"fish and chips\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/09/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2013/09/26\": {\"exercise\": {\"eid\": \"e2368\", \"logical_representation\": [\"2013/09/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2013/09/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2369\", \"logical_representation\": [\"2013/09/26\", \"Layla, Hazel, Rylee, Avery\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Layla, Hazel, Rylee, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Rylee, Avery in the late afternoon on 2013/09/26?\", \"37 minutes\"], [\"who did I talk to on 2013/09/26?\", \"Layla, Hazel, Rylee, Avery\"], [\"Did I talk to Layla, Hazel, Rylee, Avery on 2013/09/26?\", \"yes\"], [\"Did I talk to anyone on 2013/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/27\": {\"lunch\": {\"eid\": \"e2370\", \"logical_representation\": [\"2013/09/27\", \"lunch\", \"pasta\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch with Carter, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/09/27?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2013/09/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2371\", \"logical_representation\": [\"2013/09/27\", \"Nora, Lydia\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Nora, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia late in the evening on 2013/09/27?\", \"53 minutes\"], [\"who did I talk to on 2013/09/27?\", \"Nora, Lydia\"], [\"Did I talk to Nora, Lydia on 2013/09/27?\", \"yes\"], [\"Did I talk to anyone on 2013/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2372\", \"logical_representation\": [\"2013/09/27\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/09/27?\", \"54 minutes\"], [\"what did I read on 2013/09/27?\", \"social media\"], [\"Did I read on 2013/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2373\", \"logical_representation\": [\"2013/09/27\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/27?\", \"53 minutes\"], [\"what did I watch on tv on 2013/09/27?\", \"news\"], [\"Did I watch tv on 2013/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/28\": {\"chat0\": {\"eid\": \"e2374\", \"logical_representation\": [\"2013/09/28\", \"Piper, Eva, Layla, Piper\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Piper, Eva, Layla, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Layla, Piper in the late afternoon on 2013/09/28?\", \"55 minutes\"], [\"who did I talk to on 2013/09/28?\", \"Piper, Eva, Layla, Piper\"], [\"Did I talk to Piper, Eva, Layla, Piper on 2013/09/28?\", \"yes\"], [\"Did I talk to anyone on 2013/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/29\": {\"exercise\": {\"eid\": \"e2375\", \"logical_representation\": [\"2013/09/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/09/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2376\", \"logical_representation\": [\"2013/09/29\", \"breakfast\", \"pancakes\", \"Eva, Nevaeh, Olivia, Hazel, Piper, Kinsley, Nora, Avery, Claire, Lydia, Piper, Rylee\"], \"text_template_based\": \"I had pancakes for breakfast with Eva, Nevaeh, Olivia, Hazel, Piper, Kinsley, Nora, Avery, Claire, Lydia, Piper, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/09/29?\", \"Eva, Nevaeh, Olivia, Hazel, Piper, Kinsley, Nora, Avery, Claire, Lydia, Piper, Rylee\"], [\"what did I eat for breakfast on 2013/09/29\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2377\", \"logical_representation\": [\"2013/09/29\", \"Piper, Nevaeh, Layla\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Piper, Nevaeh, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Layla in the early evening on 2013/09/29?\", \"43 minutes\"], [\"who did I talk to on 2013/09/29?\", \"Piper, Nevaeh, Layla\"], [\"Did I talk to Piper, Nevaeh, Layla on 2013/09/29?\", \"yes\"], [\"Did I talk to anyone on 2013/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/09/30\": {\"exercise\": {\"eid\": \"e2378\", \"logical_representation\": [\"2013/09/30\", \"running\"], \"text_template_based\": \"I did running on 2013/09/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/09/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2379\", \"logical_representation\": [\"2013/09/30\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/09/30?\", \"33 minutes\"], [\"what did I watch on tv on 2013/09/30?\", \"a movie\"], [\"Did I watch tv on 2013/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/01\": {\"lunch\": {\"eid\": \"e2380\", \"logical_representation\": [\"2013/10/01\", \"lunch\", \"a burger\", \"Lydia, Rylee, Hazel, Piper, Piper, Nora, Claire, Eva, Layla, Avery, Nevaeh, Olivia, Kinsley\"], \"text_template_based\": \"I had lunch with Lydia, Rylee, Hazel, Piper, Piper, Nora, Claire, Eva, Layla, Avery, Nevaeh, Olivia, Kinsley. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/10/01?\", \"Lydia, Rylee, Hazel, Piper, Piper, Nora, Claire, Eva, Layla, Avery, Nevaeh, Olivia, Kinsley\"], [\"what did I eat for lunch on 2013/10/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2381\", \"logical_representation\": [\"2013/10/01\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/10/01?\", \"8 minutes\"], [\"what did I read on 2013/10/01?\", \"news\"], [\"Did I read on 2013/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2382\", \"logical_representation\": [\"2013/10/01\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I watched a tv series for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/01?\", \"47 minutes\"], [\"what did I watch on tv on 2013/10/01?\", \"a tv series\"], [\"Did I watch tv on 2013/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/02\": {\"lunch\": {\"eid\": \"e2383\", \"logical_representation\": [\"2013/10/02\", \"lunch\", \"sushi\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/02\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2013/10/03\": {\"exercise\": {\"eid\": \"e2384\", \"logical_representation\": [\"2013/10/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/10/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2385\", \"logical_representation\": [\"2013/10/03\", \"lunch\", \"pasta\", \"Piper, Olivia\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/03\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2386\", \"logical_representation\": [\"2013/10/03\", \"Claire\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I talked to Claire for 24 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2013/10/03?\", \"24 minutes\"], [\"who did I talk to on 2013/10/03?\", \"Claire\"], [\"Did I talk to Claire on 2013/10/03?\", \"yes\"], [\"Did I talk to anyone on 2013/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/06\": {\"dinner\": {\"eid\": \"e2389\", \"logical_representation\": [\"2013/10/06\", \"dinner\", \"a burger\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/10/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2390\", \"logical_representation\": [\"2013/10/06\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/06?\", \"26 minutes\"], [\"what did I watch on tv on 2013/10/06?\", \"a movie\"], [\"Did I watch tv on 2013/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/08\": {\"lunch\": {\"eid\": \"e2391\", \"logical_representation\": [\"2013/10/08\", \"lunch\", \"pasta\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2392\", \"logical_representation\": [\"2013/10/08\", \"Hazel\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Hazel for 41 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2013/10/08?\", \"41 minutes\"], [\"who did I talk to on 2013/10/08?\", \"Hazel\"], [\"Did I talk to Hazel on 2013/10/08?\", \"yes\"], [\"Did I talk to anyone on 2013/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/09\": {\"dinner\": {\"eid\": \"e2393\", \"logical_representation\": [\"2013/10/09\", \"dinner\", \"pasta\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/10/09\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2013/10/11\": {\"chat0\": {\"eid\": \"e2394\", \"logical_representation\": [\"2013/10/11\", \"Olivia, Rylee, Nevaeh\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Olivia, Rylee, Nevaeh for 20 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee, Nevaeh in the late afternoon on 2013/10/11?\", \"20 minutes\"], [\"who did I talk to on 2013/10/11?\", \"Olivia, Rylee, Nevaeh\"], [\"Did I talk to Olivia, Rylee, Nevaeh on 2013/10/11?\", \"yes\"], [\"Did I talk to anyone on 2013/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/12\": {\"breakfast\": {\"eid\": \"e2395\", \"logical_representation\": [\"2013/10/12\", \"breakfast\", \"oatmeal\", \"Layla, Nora, Rylee, Piper, Kinsley, Eva, Lydia, Avery, Hazel, Olivia\"], \"text_template_based\": \"I had oatmeal for breakfast with Layla, Nora, Rylee, Piper, Kinsley, Eva, Lydia, Avery, Hazel, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2013/10/12?\", \"Layla, Nora, Rylee, Piper, Kinsley, Eva, Lydia, Avery, Hazel, Olivia\"], [\"what did I eat for breakfast on 2013/10/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2396\", \"logical_representation\": [\"2013/10/12\", \"Olivia\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Olivia for 5 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2013/10/12?\", \"5 minutes\"], [\"who did I talk to on 2013/10/12?\", \"Olivia\"], [\"Did I talk to Olivia on 2013/10/12?\", \"yes\"], [\"Did I talk to anyone on 2013/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/13\": {\"exercise\": {\"eid\": \"e2397\", \"logical_representation\": [\"2013/10/13\", \"running\"], \"text_template_based\": \"I did running on 2013/10/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/13?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2398\", \"logical_representation\": [\"2013/10/13\", \"dinner\", \"indian food\", \"Nora, Lydia, Piper, Claire, Nevaeh, Piper, Avery, Layla, Rylee, Hazel, Olivia, Eva, Kinsley\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/10/13\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2013/10/14\": {\"dinner\": {\"eid\": \"e2399\", \"logical_representation\": [\"2013/10/14\", \"dinner\", \"indian food\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/10/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2400\", \"logical_representation\": [\"2013/10/14\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/10/14?\", \"37 minutes\"], [\"what did I read on 2013/10/14?\", \"social media\"], [\"Did I read on 2013/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/15\": {\"watch tv\": {\"eid\": \"e2401\", \"logical_representation\": [\"2013/10/15\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/15?\", \"34 minutes\"], [\"what did I watch on tv on 2013/10/15?\", \"a tv series\"], [\"Did I watch tv on 2013/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/16\": {\"breakfast\": {\"eid\": \"e2402\", \"logical_representation\": [\"2013/10/16\", \"breakfast\", \"peanut-butter-jam\", \"Olivia\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/10/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2403\", \"logical_representation\": [\"2013/10/16\", \"Piper, Rylee, Claire, Piper\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Piper, Rylee, Claire, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Claire, Piper in the early afternoon on 2013/10/16?\", \"19 minutes\"], [\"who did I talk to on 2013/10/16?\", \"Piper, Rylee, Claire, Piper\"], [\"Did I talk to Piper, Rylee, Claire, Piper on 2013/10/16?\", \"yes\"], [\"Did I talk to anyone on 2013/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2404\", \"logical_representation\": [\"2013/10/16\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I watched a movie for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/16?\", \"43 minutes\"], [\"what did I watch on tv on 2013/10/16?\", \"a movie\"], [\"Did I watch tv on 2013/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/17\": {\"exercise\": {\"eid\": \"e2405\", \"logical_representation\": [\"2013/10/17\", \"biking\"], \"text_template_based\": \"I did biking on 2013/10/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2406\", \"logical_representation\": [\"2013/10/17\", \"dinner\", \"pasta\", \"Avery\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/10/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2407\", \"logical_representation\": [\"2013/10/17\", \"Lydia, Hazel, Kinsley\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Lydia, Hazel, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Kinsley in the early afternoon on 2013/10/17?\", \"41 minutes\"], [\"who did I talk to on 2013/10/17?\", \"Lydia, Hazel, Kinsley\"], [\"Did I talk to Lydia, Hazel, Kinsley on 2013/10/17?\", \"yes\"], [\"Did I talk to anyone on 2013/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2408\", \"logical_representation\": [\"2013/10/17\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I watched a movie for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/17?\", \"37 minutes\"], [\"what did I watch on tv on 2013/10/17?\", \"a movie\"], [\"Did I watch tv on 2013/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/18\": {\"watch tv\": {\"eid\": \"e2409\", \"logical_representation\": [\"2013/10/18\", \"a movie\", \"15 minutes\"], \"text_template_based\": \"I watched a movie for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/18?\", \"15 minutes\"], [\"what did I watch on tv on 2013/10/18?\", \"a movie\"], [\"Did I watch tv on 2013/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/19\": {\"chat0\": {\"eid\": \"e2410\", \"logical_representation\": [\"2013/10/19\", \"Avery, Piper, Hazel, Rylee\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Hazel, Rylee for 10 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Hazel, Rylee in the early evening on 2013/10/19?\", \"10 minutes\"], [\"who did I talk to on 2013/10/19?\", \"Avery, Piper, Hazel, Rylee\"], [\"Did I talk to Avery, Piper, Hazel, Rylee on 2013/10/19?\", \"yes\"], [\"Did I talk to anyone on 2013/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/20\": {\"breakfast\": {\"eid\": \"e2411\", \"logical_representation\": [\"2013/10/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/10/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2412\", \"logical_representation\": [\"2013/10/20\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I watched a tv series for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/20?\", \"50 minutes\"], [\"what did I watch on tv on 2013/10/20?\", \"a tv series\"], [\"Did I watch tv on 2013/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/22\": {\"exercise\": {\"eid\": \"e2413\", \"logical_representation\": [\"2013/10/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/10/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2414\", \"logical_representation\": [\"2013/10/22\", \"dinner\", \"sushi\", \"Eva\"], \"text_template_based\": \"I had sushi for dinner with Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/10/22?\", \"Eva\"], [\"what did I eat for dinner on 2013/10/22\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2013/10/23\": {\"social media\": {\"eid\": \"e2415\", \"logical_representation\": [\"2013/10/23\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/10/23?\", \"40 minutes\"], [\"what did I read on 2013/10/23?\", \"social media\"], [\"Did I read on 2013/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2416\", \"logical_representation\": [\"2013/10/23\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/23?\", \"22 minutes\"], [\"what did I watch on tv on 2013/10/23?\", \"a tv series\"], [\"Did I watch tv on 2013/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/26\": {\"exercise\": {\"eid\": \"e2420\", \"logical_representation\": [\"2013/10/26\", \"running\"], \"text_template_based\": \"I did running on 2013/10/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/10/26?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2013/10/27\": {\"lunch\": {\"eid\": \"e2421\", \"logical_representation\": [\"2013/10/27\", \"lunch\", \"indian food\", \"Piper, Claire, Nevaeh, Rylee\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2422\", \"logical_representation\": [\"2013/10/27\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/10/27?\", \"31 minutes\"], [\"what did I read on 2013/10/27?\", \"social media\"], [\"Did I read on 2013/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2423\", \"logical_representation\": [\"2013/10/27\", \"news\", \"54 minutes\"], \"text_template_based\": \"I watched news for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/27?\", \"54 minutes\"], [\"what did I watch on tv on 2013/10/27?\", \"news\"], [\"Did I watch tv on 2013/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/29\": {\"lunch\": {\"eid\": \"e2425\", \"logical_representation\": [\"2013/10/29\", \"lunch\", \"fish and chips\", \"Nora, Avery, Lydia, Nevaeh, Kinsley, Eva, Hazel, Piper\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/10/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2013/10/30\": {\"breakfast\": {\"eid\": \"e2426\", \"logical_representation\": [\"2013/10/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/10/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2427\", \"logical_representation\": [\"2013/10/30\", \"news\", \"16 minutes\"], \"text_template_based\": \"I watched news for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/30?\", \"16 minutes\"], [\"what did I watch on tv on 2013/10/30?\", \"news\"], [\"Did I watch tv on 2013/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/10/31\": {\"watch tv\": {\"eid\": \"e2428\", \"logical_representation\": [\"2013/10/31\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/10/31?\", \"5 minutes\"], [\"what did I watch on tv on 2013/10/31?\", \"a movie\"], [\"Did I watch tv on 2013/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/01\": {\"lunch\": {\"eid\": \"e2429\", \"logical_representation\": [\"2013/11/01\", \"lunch\", \"pasta\", \"Willow\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/11/01\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2013/11/02\": {\"exercise\": {\"eid\": \"e2430\", \"logical_representation\": [\"2013/11/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/11/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2431\", \"logical_representation\": [\"2013/11/02\", \"breakfast\", \"peanut-butter-jam\", \"Avery\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/11/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2013/11/03\": {\"lunch\": {\"eid\": \"e2432\", \"logical_representation\": [\"2013/11/03\", \"lunch\", \"sushi\", \"Carter\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/11/03\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2013/11/05\": {\"dinner\": {\"eid\": \"e2433\", \"logical_representation\": [\"2013/11/05\", \"dinner\", \"chinese food\", \"Rylee, Hazel, Nora, Eva, Avery, Piper\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/11/05\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2013/11/06\": {\"exercise\": {\"eid\": \"e2434\", \"logical_representation\": [\"2013/11/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/11/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2435\", \"logical_representation\": [\"2013/11/06\", \"breakfast\", \"pancakes\", \"Eva, Piper, Olivia, Claire, Piper, Nevaeh, Lydia, Layla, Kinsley, Hazel, Nora\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/11/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2436\", \"logical_representation\": [\"2013/11/06\", \"lunch\", \"steak\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/11/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2437\", \"logical_representation\": [\"2013/11/06\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I had steak for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/11/06?\", \"Emily\"], [\"what did I eat for dinner on 2013/11/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2438\", \"logical_representation\": [\"2013/11/06\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/11/06?\", \"50 minutes\"], [\"what did I read on 2013/11/06?\", \"social media\"], [\"Did I read on 2013/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/10\": {\"exercise\": {\"eid\": \"e2440\", \"logical_representation\": [\"2013/11/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/11/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2441\", \"logical_representation\": [\"2013/11/10\", \"Lydia, Claire, Rylee, Hazel\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Lydia, Claire, Rylee, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Rylee, Hazel in the late afternoon on 2013/11/10?\", \"28 minutes\"], [\"who did I talk to on 2013/11/10?\", \"Lydia, Claire, Rylee, Hazel\"], [\"Did I talk to Lydia, Claire, Rylee, Hazel on 2013/11/10?\", \"yes\"], [\"Did I talk to anyone on 2013/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/14\": {\"watch tv\": {\"eid\": \"e2442\", \"logical_representation\": [\"2013/11/14\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/14?\", \"54 minutes\"], [\"what did I watch on tv on 2013/11/14?\", \"a documentary\"], [\"Did I watch tv on 2013/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/15\": {\"dinner\": {\"eid\": \"e2443\", \"logical_representation\": [\"2013/11/15\", \"dinner\", \"tacos\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/11/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2444\", \"logical_representation\": [\"2013/11/15\", \"Avery\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2013/11/15?\", \"19 minutes\"], [\"who did I talk to on 2013/11/15?\", \"Avery\"], [\"Did I talk to Avery on 2013/11/15?\", \"yes\"], [\"Did I talk to anyone on 2013/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2445\", \"logical_representation\": [\"2013/11/15\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/11/15?\", \"45 minutes\"], [\"what did I read on 2013/11/15?\", \"social media\"], [\"Did I read on 2013/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/16\": {\"chat0\": {\"eid\": \"e2446\", \"logical_representation\": [\"2013/11/16\", \"Eva\", \"in the early evening\", \"44 minutes\"], \"text_template_based\": \"I talked to Eva for 44 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early evening on 2013/11/16?\", \"44 minutes\"], [\"who did I talk to on 2013/11/16?\", \"Eva\"], [\"Did I talk to Eva on 2013/11/16?\", \"yes\"], [\"Did I talk to anyone on 2013/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/17\": {\"dinner\": {\"eid\": \"e2447\", \"logical_representation\": [\"2013/11/17\", \"dinner\", \"fish and chips\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had fish and chips for dinner with Willow, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2013/11/17?\", \"Willow, Jackson, Benjamin\"], [\"what did I eat for dinner on 2013/11/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2448\", \"logical_representation\": [\"2013/11/17\", \"Layla, Nora\", \"in the morning\", \"42 minutes\"], \"text_template_based\": \"I talked to Layla, Nora for 42 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora in the morning on 2013/11/17?\", \"42 minutes\"], [\"who did I talk to on 2013/11/17?\", \"Layla, Nora\"], [\"Did I talk to Layla, Nora on 2013/11/17?\", \"yes\"], [\"Did I talk to anyone on 2013/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2449\", \"logical_representation\": [\"2013/11/17\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/11/17?\", \"51 minutes\"], [\"what did I read on 2013/11/17?\", \"social media\"], [\"Did I read on 2013/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/18\": {\"chat0\": {\"eid\": \"e2450\", \"logical_representation\": [\"2013/11/18\", \"Eva, Kinsley, Layla, Piper\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Eva, Kinsley, Layla, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Layla, Piper in the early evening on 2013/11/18?\", \"12 minutes\"], [\"who did I talk to on 2013/11/18?\", \"Eva, Kinsley, Layla, Piper\"], [\"Did I talk to Eva, Kinsley, Layla, Piper on 2013/11/18?\", \"yes\"], [\"Did I talk to anyone on 2013/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/19\": {\"read\": {\"eid\": \"e2451\", \"logical_representation\": [\"2013/11/19\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/11/19?\", \"53 minutes\"], [\"what did I read on 2013/11/19?\", \"a book\"], [\"Did I read on 2013/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/21\": {\"lunch\": {\"eid\": \"e2452\", \"logical_representation\": [\"2013/11/21\", \"lunch\", \"steak\", \"Jackson, Willow\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/11/21\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2013/11/22\": {\"watch tv\": {\"eid\": \"e2453\", \"logical_representation\": [\"2013/11/22\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I watched a tv series for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/22?\", \"54 minutes\"], [\"what did I watch on tv on 2013/11/22?\", \"a tv series\"], [\"Did I watch tv on 2013/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/23\": {\"lunch\": {\"eid\": \"e2454\", \"logical_representation\": [\"2013/11/23\", \"lunch\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had lunch with Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/11/23?\", \"Kayden\"], [\"what did I eat for lunch on 2013/11/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2455\", \"logical_representation\": [\"2013/11/23\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/11/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2013/11/24\": {\"watch tv\": {\"eid\": \"e2456\", \"logical_representation\": [\"2013/11/24\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I watched a movie for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/24?\", \"23 minutes\"], [\"what did I watch on tv on 2013/11/24?\", \"a movie\"], [\"Did I watch tv on 2013/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/25\": {\"watch tv\": {\"eid\": \"e2457\", \"logical_representation\": [\"2013/11/25\", \"a documentary\", \"49 minutes\"], \"text_template_based\": \"I watched a documentary for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/25?\", \"49 minutes\"], [\"what did I watch on tv on 2013/11/25?\", \"a documentary\"], [\"Did I watch tv on 2013/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/27\": {\"exercise\": {\"eid\": \"e2458\", \"logical_representation\": [\"2013/11/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2013/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/11/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2459\", \"logical_representation\": [\"2013/11/27\", \"Claire\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the morning on 2013/11/27?\", \"22 minutes\"], [\"who did I talk to on 2013/11/27?\", \"Claire\"], [\"Did I talk to Claire on 2013/11/27?\", \"yes\"], [\"Did I talk to anyone on 2013/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2460\", \"logical_representation\": [\"2013/11/27\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/11/27?\", \"16 minutes\"], [\"what did I read on 2013/11/27?\", \"news\"], [\"Did I read on 2013/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2461\", \"logical_representation\": [\"2013/11/27\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I watched a tv series for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/27?\", \"39 minutes\"], [\"what did I watch on tv on 2013/11/27?\", \"a tv series\"], [\"Did I watch tv on 2013/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/28\": {\"chat0\": {\"eid\": \"e2462\", \"logical_representation\": [\"2013/11/28\", \"Rylee, Hazel, Piper\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Rylee, Hazel, Piper for 47 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel, Piper in the early afternoon on 2013/11/28?\", \"47 minutes\"], [\"who did I talk to on 2013/11/28?\", \"Rylee, Hazel, Piper\"], [\"Did I talk to Rylee, Hazel, Piper on 2013/11/28?\", \"yes\"], [\"Did I talk to anyone on 2013/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2463\", \"logical_representation\": [\"2013/11/28\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/11/28?\", \"20 minutes\"], [\"what did I read on 2013/11/28?\", \"a book\"], [\"Did I read on 2013/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2464\", \"logical_representation\": [\"2013/11/28\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I watched a tv series for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/11/28?\", \"23 minutes\"], [\"what did I watch on tv on 2013/11/28?\", \"a tv series\"], [\"Did I watch tv on 2013/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/11/30\": {\"lunch\": {\"eid\": \"e2465\", \"logical_representation\": [\"2013/11/30\", \"lunch\", \"steak\", \"Layla, Hazel, Lydia, Eva, Rylee, Olivia, Nevaeh, Nora\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/11/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2466\", \"logical_representation\": [\"2013/11/30\", \"Lydia, Claire\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Lydia, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire in the early evening on 2013/11/30?\", \"19 minutes\"], [\"who did I talk to on 2013/11/30?\", \"Lydia, Claire\"], [\"Did I talk to Lydia, Claire on 2013/11/30?\", \"yes\"], [\"Did I talk to anyone on 2013/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/01\": {\"chat0\": {\"eid\": \"e2467\", \"logical_representation\": [\"2013/12/01\", \"Eva\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early evening on 2013/12/01?\", \"7 minutes\"], [\"who did I talk to on 2013/12/01?\", \"Eva\"], [\"Did I talk to Eva on 2013/12/01?\", \"yes\"], [\"Did I talk to anyone on 2013/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2468\", \"logical_representation\": [\"2013/12/01\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/01?\", \"10 minutes\"], [\"what did I watch on tv on 2013/12/01?\", \"a tv series\"], [\"Did I watch tv on 2013/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/03\": {\"dinner\": {\"eid\": \"e2469\", \"logical_representation\": [\"2013/12/03\", \"dinner\", \"sushi\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/12/03\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2013/12/05\": {\"dinner\": {\"eid\": \"e2470\", \"logical_representation\": [\"2013/12/05\", \"dinner\", \"indian food\", \"Kinsley, Avery, Eva, Nevaeh, Lydia, Nora, Claire, Rylee, Piper, Piper, Hazel, Layla\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/12/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2471\", \"logical_representation\": [\"2013/12/05\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/12/05?\", \"13 minutes\"], [\"what did I read on 2013/12/05?\", \"news\"], [\"Did I read on 2013/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/06\": {\"read\": {\"eid\": \"e2472\", \"logical_representation\": [\"2013/12/06\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2013/12/06?\", \"15 minutes\"], [\"what did I read on 2013/12/06?\", \"news\"], [\"Did I read on 2013/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/08\": {\"breakfast\": {\"eid\": \"e2475\", \"logical_representation\": [\"2013/12/08\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/12/08\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2013/12/09\": {\"exercise\": {\"eid\": \"e2476\", \"logical_representation\": [\"2013/12/09\", \"biking\"], \"text_template_based\": \"I did biking on 2013/12/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2477\", \"logical_representation\": [\"2013/12/09\", \"lunch\", \"sandwich\", \"Benjamin\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/12/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2013/12/10\": {\"breakfast\": {\"eid\": \"e2478\", \"logical_representation\": [\"2013/12/10\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/12/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2479\", \"logical_representation\": [\"2013/12/10\", \"dinner\", \"indian food\", \"Piper, Lydia, Olivia, Kinsley, Hazel, Claire, Layla, Eva, Nevaeh, Piper, Avery\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/12/10\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2480\", \"logical_representation\": [\"2013/12/10\", \"a movie\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/10?\", \"8 minutes\"], [\"what did I watch on tv on 2013/12/10?\", \"a movie\"], [\"Did I watch tv on 2013/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/11\": {\"chat0\": {\"eid\": \"e2481\", \"logical_representation\": [\"2013/12/11\", \"Eva\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2013/12/11?\", \"47 minutes\"], [\"who did I talk to on 2013/12/11?\", \"Eva\"], [\"Did I talk to Eva on 2013/12/11?\", \"yes\"], [\"Did I talk to anyone on 2013/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2482\", \"logical_representation\": [\"2013/12/11\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/11?\", \"7 minutes\"], [\"what did I watch on tv on 2013/12/11?\", \"a tv series\"], [\"Did I watch tv on 2013/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/14\": {\"chat0\": {\"eid\": \"e2485\", \"logical_representation\": [\"2013/12/14\", \"Layla, Avery, Piper\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I talked to Layla, Avery, Piper for 31 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Piper in the morning on 2013/12/14?\", \"31 minutes\"], [\"who did I talk to on 2013/12/14?\", \"Layla, Avery, Piper\"], [\"Did I talk to Layla, Avery, Piper on 2013/12/14?\", \"yes\"], [\"Did I talk to anyone on 2013/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/17\": {\"read\": {\"eid\": \"e2489\", \"logical_representation\": [\"2013/12/17\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2013/12/17?\", \"7 minutes\"], [\"what did I read on 2013/12/17?\", \"a book\"], [\"Did I read on 2013/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/19\": {\"breakfast\": {\"eid\": \"e2490\", \"logical_representation\": [\"2013/12/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Piper, Hazel, Olivia, Layla, Nevaeh, Piper, Rylee, Kinsley, Eva, Lydia, Avery, Nora\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2013/12/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2491\", \"logical_representation\": [\"2013/12/19\", \"lunch\", \"sushi\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/12/19\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2013/12/21\": {\"exercise\": {\"eid\": \"e2492\", \"logical_representation\": [\"2013/12/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/12/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2493\", \"logical_representation\": [\"2013/12/21\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/12/21?\", \"16 minutes\"], [\"what did I read on 2013/12/21?\", \"social media\"], [\"Did I read on 2013/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2494\", \"logical_representation\": [\"2013/12/21\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/21?\", \"39 minutes\"], [\"what did I watch on tv on 2013/12/21?\", \"news\"], [\"Did I watch tv on 2013/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/22\": {\"lunch\": {\"eid\": \"e2495\", \"logical_representation\": [\"2013/12/22\", \"lunch\", \"tacos\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I had lunch with Avery, Willow, Benjamin. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2013/12/22?\", \"Avery, Willow, Benjamin\"], [\"what did I eat for lunch on 2013/12/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2496\", \"logical_representation\": [\"2013/12/22\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I watched a movie for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2013/12/22?\", \"6 minutes\"], [\"what did I watch on tv on 2013/12/22?\", \"a movie\"], [\"Did I watch tv on 2013/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/27\": {\"dinner\": {\"eid\": \"e2500\", \"logical_representation\": [\"2013/12/27\", \"dinner\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2013/12/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2501\", \"logical_representation\": [\"2013/12/27\", \"Layla\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Layla for 52 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the late afternoon on 2013/12/27?\", \"52 minutes\"], [\"who did I talk to on 2013/12/27?\", \"Layla\"], [\"Did I talk to Layla on 2013/12/27?\", \"yes\"], [\"Did I talk to anyone on 2013/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2013/12/28\": {\"exercise\": {\"eid\": \"e2502\", \"logical_representation\": [\"2013/12/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2013/12/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2013/12/30\": {\"exercise\": {\"eid\": \"e2503\", \"logical_representation\": [\"2013/12/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2013/12/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2013/12/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2504\", \"logical_representation\": [\"2013/12/30\", \"lunch\", \"sandwich\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2013/12/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2505\", \"logical_representation\": [\"2013/12/30\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2013/12/30?\", \"55 minutes\"], [\"what did I read on 2013/12/30?\", \"social media\"], [\"Did I read on 2013/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/23\": {\"travel\": {\"eid\": \"e2506\", \"logical_representation\": [\"2014/01/23\", \"2014/01/29\", [\"Emily\", \"Carter\", \"Andrew\"], \"Sydney, Australia\"], \"text_template_based\": \"On 2014/01/23 Emily, Carter, Andrew and I went to Sydney, Australia together for 6 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Sydney, Australia on 2014/01/23?\", \"Emily, Carter, Andrew\"], [\"who did I go with to Sydney, Australia?\", \"Emily, Carter, Andrew\"], [\"where did I go on 2014/01/23?\", \"Sydney, Australia\"], [\"when did I go to Sydney, Australia?\", \"2014/01/23\"], [\"when did I go to Sydney, Australia with Emily, Carter, Andrew ?\", \"2014/01/23\"], [\"How long did I stay in Sydney, Australia?\", \"6\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2628\", \"logical_representation\": [\"2014/01/23\", \"lunch\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/01/23?\", \"Andrew\"], [\"what did I eat for lunch on 2014/01/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2629\", \"logical_representation\": [\"2014/01/23\", \"Avery, Rylee, Kinsley, Piper\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Avery, Rylee, Kinsley, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee, Kinsley, Piper late in the evening on 2014/01/23?\", \"43 minutes\"], [\"who did I talk to on 2014/01/23?\", \"Avery, Rylee, Kinsley, Piper\"], [\"Did I talk to Avery, Rylee, Kinsley, Piper on 2014/01/23?\", \"yes\"], [\"Did I talk to anyone on 2014/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/24\": {\"places_visited\": {\"eid\": \"e2507\", \"logical_representation\": [\"2014/01/24\", [\"Emily\", \"Carter\", \"Andrew\"], \"Sydney Opera House\", \"took a group photo\", \"happy\"], \"text_template_based\": \"During my trip to Sydney, Australia, I visited Sydney Opera House on 2014/01 with Emily, Carter, Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Sydney, Australia on 2014/01\", \"Sydney Opera House\"], [\"when did I visit Sydney Opera House during my trip to Sydney, Australia\", \"2014/01/24\"], [\"when did I visit Sydney Opera House \", \"2014/01/24\"], [\"who went with me to visit Sydney Opera House ?\", \"Emily, Carter, Andrew\"], [\"who went with me to visit Sydney Opera House during my trip to Sydney, Australia on 2014/01?\", \"Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e2510\", \"logical_representation\": [\"2014/01/24\", [\"Emily\", \"Carter\", \"Andrew\"], \"Chinese food\", \"Thievery Chicken & Charcoal\"], \"text_template_based\": \"I ate Chinese food at Thievery Chicken & Charcoal with Emily, Carter, Andrew on  2014/01/24 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Thievery Chicken & Charcoal ?\", \"Emily, Carter, Andrew\"], [\"who did I eat Chinese food with?\", \"Emily, Carter, Andrew\"], [\"where did we eat Chinese food during our trip to Sydney, Australia on  2014/01/24?\", \"Thievery Chicken & Charcoal\"], [\"when did we eat Chinese food at Thievery Chicken & Charcoal during our trip to Sydney, Australia?\", \"2014/01/24\"], [\"when did we eat at Thievery Chicken & Charcoal?\", \"2014/01/24\"], [\"when did we eat Chinese food?\", \"2014/01/24\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2630\", \"logical_representation\": [\"2014/01/24\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/01/24?\", \"28 minutes\"], [\"what did I read on 2014/01/24?\", \"social media\"], [\"Did I read on 2014/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/25\": {\"places_visited\": {\"eid\": \"e2508\", \"logical_representation\": [\"2014/01/25\", [\"Emily\", \"Carter\", \"Andrew\"], \"Bondi Beach\", \"recorded some videos\", \"special\"], \"text_template_based\": \"During my trip to Sydney, Australia, I visited Bondi Beach on 2014/01 with Emily, Carter, Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Sydney, Australia on 2014/01\", \"Bondi Beach\"], [\"when did I visit Bondi Beach during my trip to Sydney, Australia\", \"2014/01/25\"], [\"when did I visit Bondi Beach \", \"2014/01/25\"], [\"who went with me to visit Bondi Beach ?\", \"Emily, Carter, Andrew\"], [\"who went with me to visit Bondi Beach during my trip to Sydney, Australia on 2014/01?\", \"Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e2511\", \"logical_representation\": [\"2014/01/25\", [\"Emily\", \"Carter\", \"Andrew\"], \"Chinese food\", \"Bombay Street Kitchen\"], \"text_template_based\": \"I ate Chinese food at Bombay Street Kitchen with Emily, Carter, Andrew on  2014/01/25 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Bombay Street Kitchen ?\", \"Emily, Carter, Andrew\"], [\"who did I eat Chinese food with?\", \"Emily, Carter, Andrew\"], [\"where did we eat Chinese food during our trip to Sydney, Australia on  2014/01/25?\", \"Bombay Street Kitchen\"], [\"when did we eat Chinese food at Bombay Street Kitchen during our trip to Sydney, Australia?\", \"2014/01/25\"], [\"when did we eat at Bombay Street Kitchen?\", \"2014/01/25\"], [\"when did we eat Chinese food?\", \"2014/01/25\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2631\", \"logical_representation\": [\"2014/01/25\", \"breakfast\", \"oatmeal\", \"Claire, Nora, Piper, Eva, Rylee, Piper, Lydia, Olivia, Hazel, Kinsley, Avery, Layla\"], \"text_template_based\": \"I had oatmeal for breakfast with Claire, Nora, Piper, Eva, Rylee, Piper, Lydia, Olivia, Hazel, Kinsley, Avery, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/01/25?\", \"Claire, Nora, Piper, Eva, Rylee, Piper, Lydia, Olivia, Hazel, Kinsley, Avery, Layla\"], [\"what did I eat for breakfast on 2014/01/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2014/01/26\": {\"places_visited\": {\"eid\": \"e2509\", \"logical_representation\": [\"2014/01/26\", [\"Emily\", \"Carter\", \"Andrew\"], \"Sydney Harbour Bridge\", \"took a selfie\", \"happy\"], \"text_template_based\": \"During my trip to Sydney, Australia, I visited Sydney Harbour Bridge on 2014/01 with Emily, Carter, Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Sydney, Australia on 2014/01\", \"Sydney Harbour Bridge\"], [\"when did I visit Sydney Harbour Bridge during my trip to Sydney, Australia\", \"2014/01/26\"], [\"when did I visit Sydney Harbour Bridge \", \"2014/01/26\"], [\"who went with me to visit Sydney Harbour Bridge ?\", \"Emily, Carter, Andrew\"], [\"who went with me to visit Sydney Harbour Bridge during my trip to Sydney, Australia on 2014/01?\", \"Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e2512\", \"logical_representation\": [\"2014/01/26\", [\"Emily\", \"Carter\", \"Andrew\"], \"Italian food\", \"Love Crepe\"], \"text_template_based\": \"I ate Italian food at Love Crepe with Emily, Carter, Andrew on  2014/01/26 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Love Crepe ?\", \"Emily, Carter, Andrew\"], [\"who did I eat Italian food with?\", \"Emily, Carter, Andrew\"], [\"where did we eat Italian food during our trip to Sydney, Australia on  2014/01/26?\", \"Love Crepe\"], [\"when did we eat Italian food at Love Crepe during our trip to Sydney, Australia?\", \"2014/01/26\"], [\"when did we eat at Love Crepe?\", \"2014/01/26\"], [\"when did we eat Italian food?\", \"2014/01/26\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2632\", \"logical_representation\": [\"2014/01/26\", \"Lydia\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia during lunch hours on 2014/01/26?\", \"42 minutes\"], [\"who did I talk to on 2014/01/26?\", \"Lydia\"], [\"Did I talk to Lydia on 2014/01/26?\", \"yes\"], [\"Did I talk to anyone on 2014/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/27\": {\"dining\": {\"eid\": \"e2513\", \"logical_representation\": [\"2014/01/27\", [\"Emily\", \"Carter\", \"Andrew\"], \"Chinese food\", \"Thievery Chicken & Charcoal\"], \"text_template_based\": \"I ate Chinese food at Thievery Chicken & Charcoal with Emily, Carter, Andrew on  2014/01/27 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Thievery Chicken & Charcoal ?\", \"Emily, Carter, Andrew\"], [\"who did I eat Chinese food with?\", \"Emily, Carter, Andrew\"], [\"where did we eat Chinese food during our trip to Sydney, Australia on  2014/01/27?\", \"Thievery Chicken & Charcoal\"], [\"when did we eat Chinese food at Thievery Chicken & Charcoal during our trip to Sydney, Australia?\", \"2014/01/27\"], [\"when did we eat at Thievery Chicken & Charcoal?\", \"2014/01/27\"], [\"when did we eat Chinese food?\", \"2014/01/27\"]], \"multihop_qa_pairs\": []}}, \"2014/01/28\": {\"dining\": {\"eid\": \"e2514\", \"logical_representation\": [\"2014/01/28\", [\"Emily\", \"Carter\", \"Andrew\"], \"Japanese food\", \"Bombay Street Kitchen\"], \"text_template_based\": \"I ate Japanese food at Bombay Street Kitchen with Emily, Carter, Andrew on  2014/01/28 when I was in Sydney, Australia.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Bombay Street Kitchen ?\", \"Emily, Carter, Andrew\"], [\"who did I eat Japanese food with?\", \"Emily, Carter, Andrew\"], [\"where did we eat Japanese food during our trip to Sydney, Australia on  2014/01/28?\", \"Bombay Street Kitchen\"], [\"when did we eat Japanese food at Bombay Street Kitchen during our trip to Sydney, Australia?\", \"2014/01/28\"], [\"when did we eat at Bombay Street Kitchen?\", \"2014/01/28\"], [\"when did we eat Japanese food?\", \"2014/01/28\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e2521\", \"logical_representation\": [\"2014/01/28\", \"I bought some raspberries, mandarins, pineapples, clementines, guava juice, soda, body lotion from the grocery store. I saw Carter at the grocery store.\", \"raspberries, mandarins, pineapples, clementines\", \"guava juice, soda\", \"body lotion\", \"Carter\"], \"text_template_based\": \"I bought some raspberries, mandarins, pineapples, clementines, guava juice, soda, body lotion from the grocery store. I saw Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/01/28?\", \"raspberries, mandarins, pineapples, clementines, guava juice, soda, and body lotion\"], [\"what fruits did I buy from the grocery store on 2014/01/28?\", \"raspberries, mandarins, pineapples, clementines\"], [\"what drinks did I buy from the grocery store on 2014/01/28?\", \"guava juice, soda\"], [\"what toiletries did I buy from the grocery store on 2014/01/28?\", \"body lotion\"], [\"who did I see at the grocery store on 2014/01/28?\", \"Carter\"]], \"multihop_qa_pairs\": []}}, \"2014/12/25\": {\"personal_medical_care\": {\"eid\": \"e2515\", \"logical_representation\": [\"2014/12/25\", \"I went for an annual dental cleaning and checkup on 2014/12/25 at the hospital.\", \"hospital\"], \"text_template_based\": \"I went for an annual dental cleaning and checkup on 2014/12/25 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual dental cleaning and checkup in 2014?\", \"2014/12/25\"], [\"where did I go for an annual dental cleaning and checkup on 2014/12/25\", \"hospital\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3143\", \"logical_representation\": [\"2014/12/25\", \"lunch\", \"steak\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had steak for lunch with Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/12/25?\", \"Carter, Kayden, Emily\"], [\"what did I eat for lunch on 2014/12/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3144\", \"logical_representation\": [\"2014/12/25\", \"a movie\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/25?\", \"42 minutes\"], [\"what did I watch on tv on 2014/12/25?\", \"a movie\"], [\"Did I watch tv on 2014/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/20\": {\"personal_medical_care\": {\"eid\": \"e2516\", \"logical_representation\": [\"2014/01/20\", \"I went for an annual vision checkup on 2014/01/20 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual vision checkup on 2014/01/20 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual vision checkup in 2014?\", \"2014/01/20\"], [\"where did I go for an annual vision checkup on 2014/01/20\", \"university hospital\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2625\", \"logical_representation\": [\"2014/01/20\", \"Piper, Piper, Nora\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Piper, Piper, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Nora late in the evening on 2014/01/20?\", \"34 minutes\"], [\"who did I talk to on 2014/01/20?\", \"Piper, Piper, Nora\"], [\"Did I talk to Piper, Piper, Nora on 2014/01/20?\", \"yes\"], [\"Did I talk to anyone on 2014/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/24\": {\"parent_medical_care\": {\"eid\": \"e2517\", \"logical_representation\": [\"2014/07/24\", \"my parents for their and I went for an annual dental cleaning and checkup at the university hospital on 2014/07/24.\", \"university hospital\"], \"text_template_based\": \"my parents for their and I went for an annual dental cleaning and checkup at the university hospital on 2014/07/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2014?\", \"2014/07/24\"], [\"what did I do on 2014/07/24\", \"I took my parents for their for an  annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2911\", \"logical_representation\": [\"2014/07/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/07/24?\", \"Carter, Andrew, Emily\"], [\"what did I eat for breakfast on 2014/07/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2912\", \"logical_representation\": [\"2014/07/24\", \"dinner\", \"fish and chips\", \"Avery, Kinsley, Eva, Nevaeh, Claire, Nora, Piper, Olivia, Layla, Hazel, Lydia, Piper\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/07/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/01/02\": {\"dating\": {\"eid\": \"e2518\", \"logical_representation\": [\"2014/01/02\", \"William\", \"a restaurant\"], \"text_template_based\": \"I went on a date with William on 2014/01/02 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/01/02\", \"William\"], [\"where did I go for the date on 2014/01/02\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2594\", \"logical_representation\": [\"2014/01/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora, Olivia, Hazel, Lydia, Rylee, Avery, Claire\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/01/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2595\", \"logical_representation\": [\"2014/01/02\", \"lunch\", \"chinese food\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/01/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2014/01/03\": {\"hobbies\": {\"eid\": \"e2519\", \"logical_representation\": [\"2014/01/03\", \"I really enjoyed yoga on 2014/01/03\", \"yoga\", \"Carter, Kayden\"], \"text_template_based\": \"I really enjoyed yoga on 2014/01/03\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2014/01/03\"], [\"On 2014/01/03, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2596\", \"logical_representation\": [\"2014/01/03\", \"lunch\", \"steak\", \"Lydia\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/01/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2597\", \"logical_representation\": [\"2014/01/03\", \"dinner\", \"pasta\", \"Nora, Avery, Nevaeh, Eva\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/03\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2598\", \"logical_representation\": [\"2014/01/03\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/01/03?\", \"19 minutes\"], [\"what did I read on 2014/01/03?\", \"social media\"], [\"Did I read on 2014/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/14\": {\"dating\": {\"eid\": \"e2520\", \"logical_representation\": [\"2014/01/14\", \"Mason\", \"a restaurant\"], \"text_template_based\": \"On 2014/01/14, I took Mason on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/01/14\", \"Mason\"], [\"where did I go for the date on 2014/01/14\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2614\", \"logical_representation\": [\"2014/01/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/01/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2615\", \"logical_representation\": [\"2014/01/14\", \"Rylee\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I talked to Rylee for 38 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2014/01/14?\", \"38 minutes\"], [\"who did I talk to on 2014/01/14?\", \"Rylee\"], [\"Did I talk to Rylee on 2014/01/14?\", \"yes\"], [\"Did I talk to anyone on 2014/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/02\": {\"bake\": {\"eid\": \"e2522\", \"logical_representation\": [\"2014/02/02\", \"I entertained Andrew, Kayden, Carter, Emily at my place on 2014/02/02 and bake easy chocolate marshmallow cups, chocolate-chip mug brownie, birthday cupcakes with white wine buttercream\", \"bake\", \"easy chocolate marshmallow cups, chocolate-chip mug brownie, birthday cupcakes with white wine buttercream\", \"Andrew, Kayden, Carter, Emily\", \"my place\"], \"text_template_based\": \"I entertained Andrew, Kayden, Carter, Emily at my place on 2014/02/02 and bake easy chocolate marshmallow cups, chocolate-chip mug brownie, birthday cupcakes with white wine buttercream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake easy chocolate marshmallow cups, chocolate-chip mug brownie, birthday cupcakes with white wine buttercream with Andrew, Kayden, Carter, Emily?\", \"2014/02/02\"], [\"what did I bake on 2014/02/02?\", \"easy chocolate marshmallow cups, chocolate-chip mug brownie, birthday cupcakes with white wine buttercream\"], [\"who was I with when I  easy chocolate marshmallow cups, chocolate-chip mug brownie, birthday cupcakes with white wine buttercream on 2014/02/02?\", \"Andrew, Kayden, Carter, Emily\"]], \"multihop_qa_pairs\": []}}, \"2014/02/03\": {\"dating\": {\"eid\": \"e2523\", \"logical_representation\": [\"2014/02/03\", \"Leilani\", \"a boba shop\"], \"text_template_based\": \"On 2014/02/03, I took Leilani on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/02/03\", \"Leilani\"], [\"where did I go for the date on 2014/02/03\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2638\", \"logical_representation\": [\"2014/02/03\", \"lunch\", \"tacos\", \"Kinsley, Eva, Piper, Olivia, Claire, Lydia\"], \"text_template_based\": \"I had tacos for lunch with Kinsley, Eva, Piper, Olivia, Claire, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/02/03?\", \"Kinsley, Eva, Piper, Olivia, Claire, Lydia\"], [\"what did I eat for lunch on 2014/02/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2639\", \"logical_representation\": [\"2014/02/03\", \"Olivia, Piper\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Olivia, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper in the late afternoon on 2014/02/03?\", \"45 minutes\"], [\"who did I talk to on 2014/02/03?\", \"Olivia, Piper\"], [\"Did I talk to Olivia, Piper on 2014/02/03?\", \"yes\"], [\"Did I talk to anyone on 2014/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2640\", \"logical_representation\": [\"2014/02/03\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/02/03?\", \"32 minutes\"], [\"what did I read on 2014/02/03?\", \"social media\"], [\"Did I read on 2014/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2641\", \"logical_representation\": [\"2014/02/03\", \"a documentary\", \"10 minutes\"], \"text_template_based\": \"I watched a documentary for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/03?\", \"10 minutes\"], [\"what did I watch on tv on 2014/02/03?\", \"a documentary\"], [\"Did I watch tv on 2014/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/05\": {\"bake\": {\"eid\": \"e2524\", \"logical_representation\": [\"2014/02/05\", \"I entertained Willow at my place on 2014/02/05 and bake brownies, chocolate chip cookie in a mug, cinnamon sheet cake with cider frosting\", \"bake\", \"brownies, chocolate chip cookie in a mug, cinnamon sheet cake with cider frosting\", \"Willow\", \"my place\"], \"text_template_based\": \"I entertained Willow at my place on 2014/02/05 and bake brownies, chocolate chip cookie in a mug, cinnamon sheet cake with cider frosting\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake brownies, chocolate chip cookie in a mug, cinnamon sheet cake with cider frosting with Willow?\", \"2014/02/05\"], [\"what did I bake on 2014/02/05?\", \"brownies, chocolate chip cookie in a mug, cinnamon sheet cake with cider frosting\"], [\"who was I with when I  brownies, chocolate chip cookie in a mug, cinnamon sheet cake with cider frosting on 2014/02/05?\", \"Willow\"]], \"multihop_qa_pairs\": []}}, \"2014/02/13\": {\"dating\": {\"eid\": \"e2525\", \"logical_representation\": [\"2014/02/13\", \"Abigail\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Abigail on 2014/02/13 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/02/13\", \"Abigail\"], [\"where did I go for the date on 2014/02/13\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2655\", \"logical_representation\": [\"2014/02/13\", \"Hazel, Claire, Olivia, Layla\", \"late in the evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Hazel, Claire, Olivia, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Olivia, Layla late in the evening on 2014/02/13?\", \"40 minutes\"], [\"who did I talk to on 2014/02/13?\", \"Hazel, Claire, Olivia, Layla\"], [\"Did I talk to Hazel, Claire, Olivia, Layla on 2014/02/13?\", \"yes\"], [\"Did I talk to anyone on 2014/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/15\": {\"hobbies\": {\"eid\": \"e2526\", \"logical_representation\": [\"2014/02/15\", \"I spent some time gardening on 2014/02/15.\", \"gardening\", \"Kayden, Andrew\"], \"text_template_based\": \"I spent some time gardening on 2014/02/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2014/02/15\"], [\"On 2014/02/15, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2658\", \"logical_representation\": [\"2014/02/15\", \"lunch\", \"fish and chips\", \"Andrew, Emily\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/02/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/02/21\": {\"bake\": {\"eid\": \"e2527\", \"logical_representation\": [\"2014/02/21\", \"I really enjoyed baking fig tarte tatin on 2014/02/21 with Piper at my place\", \"bake\", \"fig tarte tatin\", \"Piper\", \"my place\"], \"text_template_based\": \"I really enjoyed baking fig tarte tatin on 2014/02/21 with Piper at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  fig tarte tatin with Piper?\", \"2014/02/21\"], [\"what did I  on 2014/02/21?\", \"fig tarte tatin\"], [\"who was I with when I  fig tarte tatin on 2014/02/21?\", \"Piper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2667\", \"logical_representation\": [\"2014/02/21\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I had cereals for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/02/21?\", \"Carter\"], [\"what did I eat for breakfast on 2014/02/21\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2014/02/25\": {\"dating\": {\"eid\": \"e2528\", \"logical_representation\": [\"2014/02/25\", \"Wyatt\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Wyatt on 2014/02/25 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/02/25\", \"Wyatt\"], [\"where did I go for the date on 2014/02/25\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2669\", \"logical_representation\": [\"2014/02/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/02/25?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for breakfast on 2014/02/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2670\", \"logical_representation\": [\"2014/02/25\", \"dinner\", \"fish and chips\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Andrew, Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/25?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for dinner on 2014/02/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2671\", \"logical_representation\": [\"2014/02/25\", \"Olivia, Claire, Kinsley\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Olivia, Claire, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire, Kinsley late in the evening on 2014/02/25?\", \"15 minutes\"], [\"who did I talk to on 2014/02/25?\", \"Olivia, Claire, Kinsley\"], [\"Did I talk to Olivia, Claire, Kinsley on 2014/02/25?\", \"yes\"], [\"Did I talk to anyone on 2014/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/22\": {\"grocery\": {\"eid\": \"e2529\", \"logical_representation\": [\"2014/02/22\", \"I went grocery shopping. I bought some watermelons, mango juice, and shampoo\", \"watermelons\", \"mango juice\", \"shampoo\", \"Claire, Piper, Piper, Lydia, Layla, Nora, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some watermelons, mango juice, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/02/22?\", \"watermelons, mango juice, and shampoo\"], [\"what fruits did I buy from the grocery store on 2014/02/22?\", \"watermelons\"], [\"what drinks did I buy from the grocery store on 2014/02/22?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2014/02/22?\", \"shampoo\"]], \"multihop_qa_pairs\": []}}, \"2014/03/01\": {\"hobbies\": {\"eid\": \"e2530\", \"logical_representation\": [\"2014/03/01\", \"I spent some time meditation on 2014/03/01.\", \"meditation\", \"Avery, Benjamin\"], \"text_template_based\": \"I spent some time meditation on 2014/03/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2014/03/01\"], [\"On 2014/03/01, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2677\", \"logical_representation\": [\"2014/03/01\", \"running\"], \"text_template_based\": \"I did running on 2014/03/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2678\", \"logical_representation\": [\"2014/03/01\", \"Eva, Kinsley, Piper\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley, Piper for 13 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley, Piper in the morning on 2014/03/01?\", \"13 minutes\"], [\"who did I talk to on 2014/03/01?\", \"Eva, Kinsley, Piper\"], [\"Did I talk to Eva, Kinsley, Piper on 2014/03/01?\", \"yes\"], [\"Did I talk to anyone on 2014/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/08\": {\"grocery\": {\"eid\": \"e2531\", \"logical_representation\": [\"2014/03/08\", \"I went grocery shopping. I bought some apricots, mangos, pineapples, bananas, guava juice, chocolate milk, tea, coffee, and shampoo, toothpaste\", \"apricots, mangos, pineapples, bananas\", \"guava juice, chocolate milk, tea, coffee\", \"shampoo, toothpaste\", \"Eva\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, mangos, pineapples, bananas, guava juice, chocolate milk, tea, coffee, and shampoo, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/03/08?\", \"apricots, mangos, pineapples, bananas, guava juice, chocolate milk, tea, coffee, and shampoo, toothpaste\"], [\"what fruits did I buy from the grocery store on 2014/03/08?\", \"apricots, mangos, pineapples, bananas\"], [\"what drinks did I buy from the grocery store on 2014/03/08?\", \"guava juice, chocolate milk, tea, coffee\"], [\"what toiletries did I buy from the grocery store on 2014/03/08?\", \"shampoo, toothpaste\"]], \"multihop_qa_pairs\": []}}, \"2014/03/17\": {\"hobbies\": {\"eid\": \"e2532\", \"logical_representation\": [\"2014/03/17\", \"I spent some time meditation on 2014/03/17.\", \"meditation\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I spent some time meditation on 2014/03/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2014/03/17\"], [\"On 2014/03/17, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2701\", \"logical_representation\": [\"2014/03/17\", \"Piper\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Piper for 48 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2014/03/17?\", \"48 minutes\"], [\"who did I talk to on 2014/03/17?\", \"Piper\"], [\"Did I talk to Piper on 2014/03/17?\", \"yes\"], [\"Did I talk to anyone on 2014/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2702\", \"logical_representation\": [\"2014/03/17\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/03/17?\", \"46 minutes\"], [\"what did I read on 2014/03/17?\", \"social media\"], [\"Did I read on 2014/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/22\": {\"dating\": {\"eid\": \"e2533\", \"logical_representation\": [\"2014/03/22\", \"Mike\", \"a boba shop\"], \"text_template_based\": \"On 2014/03/22, I took Mike on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/03/22\", \"Mike\"], [\"where did I go for the date on 2014/03/22\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2712\", \"logical_representation\": [\"2014/03/22\", \"breakfast\", \"toast and cheese\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2713\", \"logical_representation\": [\"2014/03/22\", \"Layla, Nora, Hazel, Rylee\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Layla, Nora, Hazel, Rylee for 32 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Hazel, Rylee in the early evening on 2014/03/22?\", \"32 minutes\"], [\"who did I talk to on 2014/03/22?\", \"Layla, Nora, Hazel, Rylee\"], [\"Did I talk to Layla, Nora, Hazel, Rylee on 2014/03/22?\", \"yes\"], [\"Did I talk to anyone on 2014/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/25\": {\"grocery\": {\"eid\": \"e2534\", \"logical_representation\": [\"2014/03/25\", \"I bought some pineapples, milk, chocolate milk, mineral water, shaving cream, toothbrush from the grocery store. I saw Piper, Rylee, Kinsley, Layla, Olivia, Claire at the grocery store.\", \"pineapples\", \"milk, chocolate milk, mineral water\", \"shaving cream, toothbrush\", \"Piper, Rylee, Kinsley, Layla, Olivia, Claire\"], \"text_template_based\": \"I bought some pineapples, milk, chocolate milk, mineral water, shaving cream, toothbrush from the grocery store. I saw Piper, Rylee, Kinsley, Layla, Olivia, Claire at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/03/25?\", \"pineapples, milk, chocolate milk, mineral water, and shaving cream, toothbrush\"], [\"what fruits did I buy from the grocery store on 2014/03/25?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2014/03/25?\", \"milk, chocolate milk, mineral water\"], [\"what toiletries did I buy from the grocery store on 2014/03/25?\", \"shaving cream, toothbrush\"], [\"who did I see at the grocery store on 2014/03/25?\", \"Piper, Rylee, Kinsley, Layla, Olivia, Claire\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2717\", \"logical_representation\": [\"2014/03/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/03/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2718\", \"logical_representation\": [\"2014/03/25\", \"lunch\", \"steak\", \"Emily, Carter\"], \"text_template_based\": \"I had steak for lunch with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/03/25?\", \"Emily, Carter\"], [\"what did I eat for lunch on 2014/03/25\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2014/03/27\": {\"dating\": {\"eid\": \"e2535\", \"logical_representation\": [\"2014/03/27\", \"Ian\", \"a coffee Shop\"], \"text_template_based\": \"On 2014/03/27, I took Ian on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/03/27\", \"Ian\"], [\"where did I go for the date on 2014/03/27\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2722\", \"logical_representation\": [\"2014/03/27\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/27?\", \"39 minutes\"], [\"what did I watch on tv on 2014/03/27?\", \"news\"], [\"Did I watch tv on 2014/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/31\": {\"hobbies\": {\"eid\": \"e2536\", \"logical_representation\": [\"2014/03/31\", \"I spent time learning a language on 2014/03/31 with Piper, Olivia, Nevaeh.\", \"learning a language\", \"Piper, Olivia, Nevaeh\"], \"text_template_based\": \"I spent time learning a language on 2014/03/31 with Piper, Olivia, Nevaeh.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Piper, Olivia, Nevaeh?\", \"2014/03/31\"], [\"On 2014/03/31, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2014/03/31?\", \"Piper, Olivia, Nevaeh\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2731\", \"logical_representation\": [\"2014/03/31\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/31\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2732\", \"logical_representation\": [\"2014/03/31\", \"Eva, Layla, Nevaeh\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Eva, Layla, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Nevaeh in the late afternoon on 2014/03/31?\", \"17 minutes\"], [\"who did I talk to on 2014/03/31?\", \"Eva, Layla, Nevaeh\"], [\"Did I talk to Eva, Layla, Nevaeh on 2014/03/31?\", \"yes\"], [\"Did I talk to anyone on 2014/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2733\", \"logical_representation\": [\"2014/03/31\", \"a movie\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/31?\", \"24 minutes\"], [\"what did I watch on tv on 2014/03/31?\", \"a movie\"], [\"Did I watch tv on 2014/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/01\": {\"grocery\": {\"eid\": \"e2537\", \"logical_representation\": [\"2014/04/01\", \"I bought some strawberries, mangos, milk, conditioner, mouthwash from the grocery store. I saw Nora at the grocery store.\", \"strawberries, mangos\", \"milk\", \"conditioner, mouthwash\", \"Nora\"], \"text_template_based\": \"I bought some strawberries, mangos, milk, conditioner, mouthwash from the grocery store. I saw Nora at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/04/01?\", \"strawberries, mangos, milk, and conditioner, mouthwash\"], [\"what fruits did I buy from the grocery store on 2014/04/01?\", \"strawberries, mangos\"], [\"what drinks did I buy from the grocery store on 2014/04/01?\", \"milk\"], [\"what toiletries did I buy from the grocery store on 2014/04/01?\", \"conditioner, mouthwash\"], [\"who did I see at the grocery store on 2014/04/01?\", \"Nora\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2734\", \"logical_representation\": [\"2014/04/01\", \"dinner\", \"fish and chips\", \"Jackson\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/04/05\": {\"cook\": {\"eid\": \"e2538\", \"logical_representation\": [\"2014/04/05\", \"I entertained Andrew at my place on 2014/04/05 and cook chinese broccoli with oyster sauce, crockpot spareribs\", \"cook\", \"chinese broccoli with oyster sauce, crockpot spareribs\", \"Andrew\", \"my place\"], \"text_template_based\": \"I entertained Andrew at my place on 2014/04/05 and cook chinese broccoli with oyster sauce, crockpot spareribs\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook chinese broccoli with oyster sauce, crockpot spareribs with Andrew?\", \"2014/04/05\"], [\"what did I cook on 2014/04/05?\", \"chinese broccoli with oyster sauce, crockpot spareribs\"], [\"who was I with when I  chinese broccoli with oyster sauce, crockpot spareribs on 2014/04/05?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2740\", \"logical_representation\": [\"2014/04/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2741\", \"logical_representation\": [\"2014/04/05\", \"breakfast\", \"cereals\", \"Kinsley, Nora\"], \"text_template_based\": \"I had breakfast with Kinsley, Nora. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/04/05?\", \"Kinsley, Nora\"], [\"what did I eat for breakfast on 2014/04/05\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2014/04/03\": {\"bake\": {\"eid\": \"e2539\", \"logical_representation\": [\"2014/04/03\", \"I was baking dessert nachos, gluten-free apple rose tart on 2014/04/03 with Jackson, Benjamin, Avery at my place\", \"bake\", \"dessert nachos, gluten-free apple rose tart\", \"Jackson, Benjamin, Avery\", \"my place\"], \"text_template_based\": \"I was baking dessert nachos, gluten-free apple rose tart on 2014/04/03 with Jackson, Benjamin, Avery at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  dessert nachos, gluten-free apple rose tart with Jackson, Benjamin, Avery?\", \"2014/04/03\"], [\"what did I  on 2014/04/03?\", \"dessert nachos, gluten-free apple rose tart\"], [\"who was I with when I  dessert nachos, gluten-free apple rose tart on 2014/04/03?\", \"Jackson, Benjamin, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2738\", \"logical_representation\": [\"2014/04/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/04/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2014/04/04\": {\"grocery\": {\"eid\": \"e2540\", \"logical_representation\": [\"2014/04/04\", \"I went grocery shopping with Willow, Jackson. I bought some pears, oranges, guava juice, chocolate milk, and mouthwash, shampoo\", \"pears, oranges\", \"guava juice, chocolate milk\", \"mouthwash, shampoo\", \"Willow, Jackson\"], \"text_template_based\": \"I went grocery shopping with Willow, Jackson. I bought some pears, oranges, guava juice, chocolate milk, and mouthwash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/04/04?\", \"pears, oranges, guava juice, chocolate milk, and mouthwash, shampoo\"], [\"what fruits did I buy from the grocery store on 2014/04/04?\", \"pears, oranges\"], [\"what drinks did I buy from the grocery store on 2014/04/04?\", \"guava juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2014/04/04?\", \"mouthwash, shampoo\"], [\"who was with me at the grocery store on 2014/04/04?\", \"Willow, Jackson\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2739\", \"logical_representation\": [\"2014/04/04\", \"lunch\", \"indian food\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/04\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2014/04/07\": {\"grocery\": {\"eid\": \"e2541\", \"logical_representation\": [\"2014/04/07\", \"I bought some watermelons, apricots, pears, mandarins, soda, chocolate milk, mouthwash, conditioner from the grocery store. I saw Benjamin, Jackson, Willow, Avery at the grocery store.\", \"watermelons, apricots, pears, mandarins\", \"soda, chocolate milk\", \"mouthwash, conditioner\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I bought some watermelons, apricots, pears, mandarins, soda, chocolate milk, mouthwash, conditioner from the grocery store. I saw Benjamin, Jackson, Willow, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/04/07?\", \"watermelons, apricots, pears, mandarins, soda, chocolate milk, and mouthwash, conditioner\"], [\"what fruits did I buy from the grocery store on 2014/04/07?\", \"watermelons, apricots, pears, mandarins\"], [\"what drinks did I buy from the grocery store on 2014/04/07?\", \"soda, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2014/04/07?\", \"mouthwash, conditioner\"], [\"who did I see at the grocery store on 2014/04/07?\", \"Benjamin, Jackson, Willow, Avery\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2745\", \"logical_representation\": [\"2014/04/07\", \"Avery, Rylee, Kinsley\", \"in the early afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Avery, Rylee, Kinsley for 5 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee, Kinsley in the early afternoon on 2014/04/07?\", \"5 minutes\"], [\"who did I talk to on 2014/04/07?\", \"Avery, Rylee, Kinsley\"], [\"Did I talk to Avery, Rylee, Kinsley on 2014/04/07?\", \"yes\"], [\"Did I talk to anyone on 2014/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2746\", \"logical_representation\": [\"2014/04/07\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/04/07?\", \"9 minutes\"], [\"what did I read on 2014/04/07?\", \"a book\"], [\"Did I read on 2014/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2747\", \"logical_representation\": [\"2014/04/07\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/07?\", \"30 minutes\"], [\"what did I watch on tv on 2014/04/07?\", \"news\"], [\"Did I watch tv on 2014/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/14\": {\"grocery\": {\"eid\": \"e2542\", \"logical_representation\": [\"2014/04/14\", \"I went grocery shopping. I bought some guava, mandarins, pineapples, apples, sports drinks, pineapple juice, and mouthwash, shampoo, facial wash\", \"guava, mandarins, pineapples, apples\", \"sports drinks, pineapple juice\", \"mouthwash, shampoo, facial wash\", \"Claire\"], \"text_template_based\": \"I went grocery shopping. I bought some guava, mandarins, pineapples, apples, sports drinks, pineapple juice, and mouthwash, shampoo, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/04/14?\", \"guava, mandarins, pineapples, apples, sports drinks, pineapple juice, and mouthwash, shampoo, facial wash\"], [\"what fruits did I buy from the grocery store on 2014/04/14?\", \"guava, mandarins, pineapples, apples\"], [\"what drinks did I buy from the grocery store on 2014/04/14?\", \"sports drinks, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2014/04/14?\", \"mouthwash, shampoo, facial wash\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2759\", \"logical_representation\": [\"2014/04/14\", \"dinner\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I had sandwich for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/04/14?\", \"Carter\"], [\"what did I eat for dinner on 2014/04/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2760\", \"logical_representation\": [\"2014/04/14\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/04/14?\", \"15 minutes\"], [\"what did I read on 2014/04/14?\", \"news\"], [\"Did I read on 2014/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/21\": {\"grocery\": {\"eid\": \"e2543\", \"logical_representation\": [\"2014/04/21\", \"I bought some pineapples, mineral water, guava juice, shaving cream, toilet paper from the grocery store. I saw Lydia, Kinsley, Layla, Nevaeh at the grocery store.\", \"pineapples\", \"mineral water, guava juice\", \"shaving cream, toilet paper\", \"Lydia, Kinsley, Layla, Nevaeh\"], \"text_template_based\": \"I bought some pineapples, mineral water, guava juice, shaving cream, toilet paper from the grocery store. I saw Lydia, Kinsley, Layla, Nevaeh at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/04/21?\", \"pineapples, mineral water, guava juice, and shaving cream, toilet paper\"], [\"what fruits did I buy from the grocery store on 2014/04/21?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2014/04/21?\", \"mineral water, guava juice\"], [\"what toiletries did I buy from the grocery store on 2014/04/21?\", \"shaving cream, toilet paper\"], [\"who did I see at the grocery store on 2014/04/21?\", \"Lydia, Kinsley, Layla, Nevaeh\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2773\", \"logical_representation\": [\"2014/04/21\", \"dinner\", \"pasta\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had pasta for dinner with Carter, Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/04/21?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for dinner on 2014/04/21\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2014/04/26\": {\"dating\": {\"eid\": \"e2544\", \"logical_representation\": [\"2014/04/26\", \"Sophie\", \"a park\"], \"text_template_based\": \"I went on a date with Sophie on 2014/04/26 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/04/26\", \"Sophie\"], [\"where did I go for the date on 2014/04/26\", \"a park\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2782\", \"logical_representation\": [\"2014/04/26\", \"dinner\", \"pasta\", \"Eva, Claire, Piper, Nevaeh, Layla, Hazel, Olivia, Rylee, Piper, Nora, Lydia, Avery, Kinsley\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/26\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2014/04/28\": {\"hobbies\": {\"eid\": \"e2545\", \"logical_representation\": [\"2014/04/28\", \"I spent some time working out on 2014/04/28.\", \"working out\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I spent some time working out on 2014/04/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2014/04/28\"], [\"On 2014/04/28, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}}, \"2014/05/10\": {\"dating\": {\"eid\": \"e2546\", \"logical_representation\": [\"2014/05/10\", \"Natalia\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Natalia on 2014/05/10 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/05/10\", \"Natalia\"], [\"where did I go for the date on 2014/05/10\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2801\", \"logical_representation\": [\"2014/05/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/05/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2802\", \"logical_representation\": [\"2014/05/10\", \"lunch\", \"sushi\", \"Carter\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2803\", \"logical_representation\": [\"2014/05/10\", \"Olivia\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I talked to Olivia for 43 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2014/05/10?\", \"43 minutes\"], [\"who did I talk to on 2014/05/10?\", \"Olivia\"], [\"Did I talk to Olivia on 2014/05/10?\", \"yes\"], [\"Did I talk to anyone on 2014/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2804\", \"logical_representation\": [\"2014/05/10\", \"news\", \"49 minutes\"], \"text_template_based\": \"I watched news for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/10?\", \"49 minutes\"], [\"what did I watch on tv on 2014/05/10?\", \"news\"], [\"Did I watch tv on 2014/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/16\": {\"dating\": {\"eid\": \"e2547\", \"logical_representation\": [\"2014/05/16\", \"Amelia\", \"a boba shop\"], \"text_template_based\": \"On 2014/05/16, I took Amelia on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/05/16\", \"Amelia\"], [\"where did I go for the date on 2014/05/16\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2813\", \"logical_representation\": [\"2014/05/16\", \"Kinsley, Piper\", \"late in the evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper for 50 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper late in the evening on 2014/05/16?\", \"50 minutes\"], [\"who did I talk to on 2014/05/16?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2014/05/16?\", \"yes\"], [\"Did I talk to anyone on 2014/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2814\", \"logical_representation\": [\"2014/05/16\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/16?\", \"33 minutes\"], [\"what did I watch on tv on 2014/05/16?\", \"a documentary\"], [\"Did I watch tv on 2014/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/19\": {\"hobbies\": {\"eid\": \"e2548\", \"logical_representation\": [\"2014/05/19\", \"I spent some time working out on 2014/05/19.\", \"working out\", \"Andrew\"], \"text_template_based\": \"I spent some time working out on 2014/05/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2014/05/19\"], [\"On 2014/05/19, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2817\", \"logical_representation\": [\"2014/05/19\", \"dinner\", \"steak\", \"Benjamin\"], \"text_template_based\": \"I had steak for dinner with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/05/19?\", \"Benjamin\"], [\"what did I eat for dinner on 2014/05/19\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2014/05/26\": {\"grocery\": {\"eid\": \"e2549\", \"logical_representation\": [\"2014/05/26\", \"I bought some mandarins, guava, coffee, conditioner, toothbrush, mouth wash, shampoo from the grocery store. I saw Avery, Piper, Claire, Nevaeh, Rylee, Piper at the grocery store.\", \"mandarins, guava\", \"coffee\", \"conditioner, toothbrush, mouth wash, shampoo\", \"Avery, Piper, Claire, Nevaeh, Rylee, Piper\"], \"text_template_based\": \"I bought some mandarins, guava, coffee, conditioner, toothbrush, mouth wash, shampoo from the grocery store. I saw Avery, Piper, Claire, Nevaeh, Rylee, Piper at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/05/26?\", \"mandarins, guava, coffee, and conditioner, toothbrush, mouth wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2014/05/26?\", \"mandarins, guava\"], [\"what drinks did I buy from the grocery store on 2014/05/26?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2014/05/26?\", \"conditioner, toothbrush, mouth wash, shampoo\"], [\"who did I see at the grocery store on 2014/05/26?\", \"Avery, Piper, Claire, Nevaeh, Rylee, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2829\", \"logical_representation\": [\"2014/05/26\", \"biking\"], \"text_template_based\": \"I did biking on 2014/05/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2830\", \"logical_representation\": [\"2014/05/26\", \"breakfast\", \"cereals\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2831\", \"logical_representation\": [\"2014/05/26\", \"lunch\", \"fish and chips\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2832\", \"logical_representation\": [\"2014/05/26\", \"dinner\", \"a burger\", \"Hazel, Eva\"], \"text_template_based\": \"I had a burger for dinner with Hazel, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/05/26?\", \"Hazel, Eva\"], [\"what did I eat for dinner on 2014/05/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2833\", \"logical_representation\": [\"2014/05/26\", \"Claire, Piper, Kinsley, Hazel\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Kinsley, Hazel for 23 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Kinsley, Hazel in the late afternoon on 2014/05/26?\", \"23 minutes\"], [\"who did I talk to on 2014/05/26?\", \"Claire, Piper, Kinsley, Hazel\"], [\"Did I talk to Claire, Piper, Kinsley, Hazel on 2014/05/26?\", \"yes\"], [\"Did I talk to anyone on 2014/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/08\": {\"bake\": {\"eid\": \"e2550\", \"logical_representation\": [\"2014/06/08\", \"I really enjoyed baking blackberry jam pie-crust straws, cinnamon sheet cake with cider frosting on 2014/06/08 with Carter, Andrew at my place\", \"bake\", \"blackberry jam pie-crust straws, cinnamon sheet cake with cider frosting\", \"Carter, Andrew\", \"my place\"], \"text_template_based\": \"I really enjoyed baking blackberry jam pie-crust straws, cinnamon sheet cake with cider frosting on 2014/06/08 with Carter, Andrew at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  blackberry jam pie-crust straws, cinnamon sheet cake with cider frosting with Carter, Andrew?\", \"2014/06/08\"], [\"what did I  on 2014/06/08?\", \"blackberry jam pie-crust straws, cinnamon sheet cake with cider frosting\"], [\"who was I with when I  blackberry jam pie-crust straws, cinnamon sheet cake with cider frosting on 2014/06/08?\", \"Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2853\", \"logical_representation\": [\"2014/06/08\", \"dinner\", \"sandwich\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had dinner with Willow, Benjamin, Jackson, Avery. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/06/08?\", \"Willow, Benjamin, Jackson, Avery\"], [\"what did I eat for dinner on 2014/06/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2014/06/07\": {\"hobbies\": {\"eid\": \"e2551\", \"logical_representation\": [\"2014/06/07\", \"I spent some time gardening on 2014/06/07.\", \"gardening\", \"Piper\"], \"text_template_based\": \"I spent some time gardening on 2014/06/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2014/06/07\"], [\"On 2014/06/07, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2851\", \"logical_representation\": [\"2014/06/07\", \"lunch\", \"sandwich\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2852\", \"logical_representation\": [\"2014/06/07\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I watched a tv series for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/07?\", \"50 minutes\"], [\"what did I watch on tv on 2014/06/07?\", \"a tv series\"], [\"Did I watch tv on 2014/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/05\": {\"grocery\": {\"eid\": \"e2552\", \"logical_representation\": [\"2014/06/05\", \"I bought some blackberries, apricots, milk, tea, soda, mouthwash, shampoo, shaving cream, conditioner from the grocery store. I saw Emily, Carter at the grocery store.\", \"blackberries, apricots\", \"milk, tea, soda\", \"mouthwash, shampoo, shaving cream, conditioner\", \"Emily, Carter\"], \"text_template_based\": \"I bought some blackberries, apricots, milk, tea, soda, mouthwash, shampoo, shaving cream, conditioner from the grocery store. I saw Emily, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/06/05?\", \"blackberries, apricots, milk, tea, soda, and mouthwash, shampoo, shaving cream, conditioner\"], [\"what fruits did I buy from the grocery store on 2014/06/05?\", \"blackberries, apricots\"], [\"what drinks did I buy from the grocery store on 2014/06/05?\", \"milk, tea, soda\"], [\"what toiletries did I buy from the grocery store on 2014/06/05?\", \"mouthwash, shampoo, shaving cream, conditioner\"], [\"who did I see at the grocery store on 2014/06/05?\", \"Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2849\", \"logical_representation\": [\"2014/06/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/06/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2850\", \"logical_representation\": [\"2014/06/05\", \"Kinsley, Hazel, Rylee, Lydia\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel, Rylee, Lydia for 20 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Rylee, Lydia in the morning on 2014/06/05?\", \"20 minutes\"], [\"who did I talk to on 2014/06/05?\", \"Kinsley, Hazel, Rylee, Lydia\"], [\"Did I talk to Kinsley, Hazel, Rylee, Lydia on 2014/06/05?\", \"yes\"], [\"Did I talk to anyone on 2014/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/22\": {\"grocery\": {\"eid\": \"e2553\", \"logical_representation\": [\"2014/06/22\", \"I went grocery shopping. I bought some peaches, clementines, chocolate milk, and toothpaste, mouthwash, mouth wash\", \"peaches, clementines\", \"chocolate milk\", \"toothpaste, mouthwash, mouth wash\", \"Rylee, Avery, Piper, Hazel, Nevaeh, Layla, Piper\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, clementines, chocolate milk, and toothpaste, mouthwash, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/06/22?\", \"peaches, clementines, chocolate milk, and toothpaste, mouthwash, mouth wash\"], [\"what fruits did I buy from the grocery store on 2014/06/22?\", \"peaches, clementines\"], [\"what drinks did I buy from the grocery store on 2014/06/22?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2014/06/22?\", \"toothpaste, mouthwash, mouth wash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2870\", \"logical_representation\": [\"2014/06/22\", \"Nora, Hazel, Piper\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Nora, Hazel, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel, Piper in the early evening on 2014/06/22?\", \"51 minutes\"], [\"who did I talk to on 2014/06/22?\", \"Nora, Hazel, Piper\"], [\"Did I talk to Nora, Hazel, Piper on 2014/06/22?\", \"yes\"], [\"Did I talk to anyone on 2014/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/29\": {\"dating\": {\"eid\": \"e2554\", \"logical_representation\": [\"2014/06/29\", \"Adam\", \"a park\"], \"text_template_based\": \"On 2014/06/29, I took Adam on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/06/29\", \"Adam\"], [\"where did I go for the date on 2014/06/29\", \"a park\"]], \"multihop_qa_pairs\": []}}, \"2014/06/28\": {\"hobbies\": {\"eid\": \"e2555\", \"logical_representation\": [\"2014/06/28\", \"I really enjoyed learning a language on 2014/06/28\", \"learning a language\", \"Kayden\"], \"text_template_based\": \"I really enjoyed learning a language on 2014/06/28\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2014/06/28\"], [\"On 2014/06/28, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2879\", \"logical_representation\": [\"2014/06/28\", \"dinner\", \"steak\", \"Hazel, Piper, Olivia, Avery, Layla, Rylee, Nora, Lydia, Piper, Kinsley, Claire, Eva\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/06/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2880\", \"logical_representation\": [\"2014/06/28\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/06/28?\", \"47 minutes\"], [\"what did I read on 2014/06/28?\", \"news\"], [\"Did I read on 2014/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/26\": {\"grocery\": {\"eid\": \"e2556\", \"logical_representation\": [\"2014/06/26\", \"I bought some blackberries, mineral water, sports drinks, mouthwash, conditioner, mouth wash, toilet paper online.\", \"blackberries\", \"mineral water, sports drinks\", \"mouthwash, conditioner, mouth wash, toilet paper\", \"Lydia\"], \"text_template_based\": \"I bought some blackberries, mineral water, sports drinks, mouthwash, conditioner, mouth wash, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/06/26?\", \"blackberries, mineral water, sports drinks, and mouthwash, conditioner, mouth wash, toilet paper\"], [\"what fruits did I buy online on 2014/06/26?\", \"blackberries\"], [\"what drinks did I buy online on 2014/06/26?\", \"mineral water, sports drinks\"], [\"what toiletries did I buy online on 2014/06/26?\", \"mouthwash, conditioner, mouth wash, toilet paper\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2874\", \"logical_representation\": [\"2014/06/26\", \"lunch\", \"indian food\", \"Hazel, Eva, Avery\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2875\", \"logical_representation\": [\"2014/06/26\", \"dinner\", \"tacos\", \"Olivia, Piper, Eva, Kinsley, Hazel, Rylee, Nora, Layla, Avery, Nevaeh, Claire, Lydia, Piper\"], \"text_template_based\": \"I had dinner with Olivia, Piper, Eva, Kinsley, Hazel, Rylee, Nora, Layla, Avery, Nevaeh, Claire, Lydia, Piper. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/06/26?\", \"Olivia, Piper, Eva, Kinsley, Hazel, Rylee, Nora, Layla, Avery, Nevaeh, Claire, Lydia, Piper\"], [\"what did I eat for dinner on 2014/06/26\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2014/07/01\": {\"grocery\": {\"eid\": \"e2557\", \"logical_representation\": [\"2014/07/01\", \"I went grocery shopping. I bought some apricots, cherres, mangos, apple juice, and body lotion, conditioner\", \"apricots, cherres, mangos\", \"apple juice\", \"body lotion, conditioner\", \"Avery, Rylee, Hazel, Piper, Layla\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, cherres, mangos, apple juice, and body lotion, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/07/01?\", \"apricots, cherres, mangos, apple juice, and body lotion, conditioner\"], [\"what fruits did I buy from the grocery store on 2014/07/01?\", \"apricots, cherres, mangos\"], [\"what drinks did I buy from the grocery store on 2014/07/01?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2014/07/01?\", \"body lotion, conditioner\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2882\", \"logical_representation\": [\"2014/07/01\", \"Olivia\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Olivia for 15 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia late in the evening on 2014/07/01?\", \"15 minutes\"], [\"who did I talk to on 2014/07/01?\", \"Olivia\"], [\"Did I talk to Olivia on 2014/07/01?\", \"yes\"], [\"Did I talk to anyone on 2014/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/07\": {\"grocery\": {\"eid\": \"e2558\", \"logical_representation\": [\"2014/07/07\", \"I bought some apricots, peaches, strawberries, mangos, guava juice, apple juice, coffee, shampoo, toothbrush from the grocery store. I saw Carter, Emily, Kayden at the grocery store.\", \"apricots, peaches, strawberries, mangos\", \"guava juice, apple juice, coffee\", \"shampoo, toothbrush\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I bought some apricots, peaches, strawberries, mangos, guava juice, apple juice, coffee, shampoo, toothbrush from the grocery store. I saw Carter, Emily, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/07/07?\", \"apricots, peaches, strawberries, mangos, guava juice, apple juice, coffee, and shampoo, toothbrush\"], [\"what fruits did I buy from the grocery store on 2014/07/07?\", \"apricots, peaches, strawberries, mangos\"], [\"what drinks did I buy from the grocery store on 2014/07/07?\", \"guava juice, apple juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2014/07/07?\", \"shampoo, toothbrush\"], [\"who did I see at the grocery store on 2014/07/07?\", \"Carter, Emily, Kayden\"]], \"multihop_qa_pairs\": []}}, \"2014/07/11\": {\"cook\": {\"eid\": \"e2559\", \"logical_representation\": [\"2014/07/11\", \"I really enjoyed cooking turkey shepherd\\u2019s pie on 2014/07/11 with Benjamin, Willow at my place\", \"cook\", \"turkey shepherd\\u2019s pie\", \"Benjamin, Willow\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking turkey shepherd\\u2019s pie on 2014/07/11 with Benjamin, Willow at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  turkey shepherd\\u2019s pie with Benjamin, Willow?\", \"2014/07/11\"], [\"what did I  on 2014/07/11?\", \"turkey shepherd\\u2019s pie\"], [\"who was I with when I  turkey shepherd\\u2019s pie on 2014/07/11?\", \"Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2895\", \"logical_representation\": [\"2014/07/11\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/11?\", \"18 minutes\"], [\"what did I watch on tv on 2014/07/11?\", \"a movie\"], [\"Did I watch tv on 2014/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/13\": {\"dating\": {\"eid\": \"e2560\", \"logical_representation\": [\"2014/07/13\", \"Julian\", \"a boba shop\"], \"text_template_based\": \"On 2014/07/13, I took Julian on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/07/13\", \"Julian\"], [\"where did I go for the date on 2014/07/13\", \"a boba shop\"]], \"multihop_qa_pairs\": []}}, \"2014/07/21\": {\"dating\": {\"eid\": \"e2561\", \"logical_representation\": [\"2014/07/21\", \"Nova\", \"a coffee Shop\"], \"text_template_based\": \"On 2014/07/21, I took Nova on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/07/21\", \"Nova\"], [\"where did I go for the date on 2014/07/21\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}}, \"2014/07/18\": {\"grocery\": {\"eid\": \"e2562\", \"logical_representation\": [\"2014/07/18\", \"I went grocery shopping with Benjamin, Avery. I bought some peaches, oranges, watermelons, apple juice, coffee, chocolate milk, and body lotion, facial wash\", \"peaches, oranges, watermelons\", \"apple juice, coffee, chocolate milk\", \"body lotion, facial wash\", \"Benjamin, Avery\"], \"text_template_based\": \"I went grocery shopping with Benjamin, Avery. I bought some peaches, oranges, watermelons, apple juice, coffee, chocolate milk, and body lotion, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/07/18?\", \"peaches, oranges, watermelons, apple juice, coffee, chocolate milk, and body lotion, facial wash\"], [\"what fruits did I buy from the grocery store on 2014/07/18?\", \"peaches, oranges, watermelons\"], [\"what drinks did I buy from the grocery store on 2014/07/18?\", \"apple juice, coffee, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2014/07/18?\", \"body lotion, facial wash\"], [\"who was with me at the grocery store on 2014/07/18?\", \"Benjamin, Avery\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2904\", \"logical_representation\": [\"2014/07/18\", \"dinner\", \"sushi\", \"Olivia, Rylee, Nora, Piper, Nevaeh, Layla, Kinsley, Claire, Piper, Lydia, Hazel, Avery, Eva\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/07/18\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2014/07/28\": {\"dating\": {\"eid\": \"e2563\", \"logical_representation\": [\"2014/07/28\", \"Emilia\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Emilia on 2014/07/28 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/07/28\", \"Emilia\"], [\"where did I go for the date on 2014/07/28\", \"a restaurant\"]], \"multihop_qa_pairs\": []}}, \"2014/08/01\": {\"hobbies\": {\"eid\": \"e2564\", \"logical_representation\": [\"2014/08/01\", \"I spent time gardening on 2014/08/01 with Rylee, Piper.\", \"gardening\", \"Rylee, Piper\"], \"text_template_based\": \"I spent time gardening on 2014/08/01 with Rylee, Piper.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Rylee, Piper?\", \"2014/08/01\"], [\"On 2014/08/01, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2014/08/01?\", \"Rylee, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2918\", \"logical_representation\": [\"2014/08/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2919\", \"logical_representation\": [\"2014/08/01\", \"lunch\", \"indian food\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/01\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2014/08/11\": {\"dating\": {\"eid\": \"e2565\", \"logical_representation\": [\"2014/08/11\", \"Kinsley\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Kinsley on 2014/08/11 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/08/11\", \"Kinsley\"], [\"where did I go for the date on 2014/08/11\", \"a boba shop\"]], \"multihop_qa_pairs\": []}}, \"2014/08/10\": {\"grocery\": {\"eid\": \"e2566\", \"logical_representation\": [\"2014/08/10\", \"I went grocery shopping with Carter, Andrew, Emily. I bought some raspberries, mandarins, nectarines, pineapples, tea, milk, sports drinks, and body lotion, shaving cream, facial wash\", \"raspberries, mandarins, nectarines, pineapples\", \"tea, milk, sports drinks\", \"body lotion, shaving cream, facial wash\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping with Carter, Andrew, Emily. I bought some raspberries, mandarins, nectarines, pineapples, tea, milk, sports drinks, and body lotion, shaving cream, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/08/10?\", \"raspberries, mandarins, nectarines, pineapples, tea, milk, sports drinks, and body lotion, shaving cream, facial wash\"], [\"what fruits did I buy from the grocery store on 2014/08/10?\", \"raspberries, mandarins, nectarines, pineapples\"], [\"what drinks did I buy from the grocery store on 2014/08/10?\", \"tea, milk, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2014/08/10?\", \"body lotion, shaving cream, facial wash\"], [\"who was with me at the grocery store on 2014/08/10?\", \"Carter, Andrew, Emily\"]], \"multihop_qa_pairs\": []}}, \"2014/08/13\": {\"grocery\": {\"eid\": \"e2567\", \"logical_representation\": [\"2014/08/13\", \"I bought some strawberries, nectarines, sports drinks, facial wash, conditioner, toothpaste, toilet paper from the grocery store. I saw Benjamin, Willow at the grocery store.\", \"strawberries, nectarines\", \"sports drinks\", \"facial wash, conditioner, toothpaste, toilet paper\", \"Benjamin, Willow\"], \"text_template_based\": \"I bought some strawberries, nectarines, sports drinks, facial wash, conditioner, toothpaste, toilet paper from the grocery store. I saw Benjamin, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/08/13?\", \"strawberries, nectarines, sports drinks, and facial wash, conditioner, toothpaste, toilet paper\"], [\"what fruits did I buy from the grocery store on 2014/08/13?\", \"strawberries, nectarines\"], [\"what drinks did I buy from the grocery store on 2014/08/13?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2014/08/13?\", \"facial wash, conditioner, toothpaste, toilet paper\"], [\"who did I see at the grocery store on 2014/08/13?\", \"Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e2931\", \"logical_representation\": [\"2014/08/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/08/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2932\", \"logical_representation\": [\"2014/08/13\", \"lunch\", \"fish and chips\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2933\", \"logical_representation\": [\"2014/08/13\", \"Kinsley, Avery, Nora, Claire\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Kinsley, Avery, Nora, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Nora, Claire in the early afternoon on 2014/08/13?\", \"16 minutes\"], [\"who did I talk to on 2014/08/13?\", \"Kinsley, Avery, Nora, Claire\"], [\"Did I talk to Kinsley, Avery, Nora, Claire on 2014/08/13?\", \"yes\"], [\"Did I talk to anyone on 2014/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2934\", \"logical_representation\": [\"2014/08/13\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/08/13?\", \"26 minutes\"], [\"what did I read on 2014/08/13?\", \"social media\"], [\"Did I read on 2014/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/26\": {\"dating\": {\"eid\": \"e2568\", \"logical_representation\": [\"2014/08/26\", \"Oliver\", \"a park\"], \"text_template_based\": \"I went on a date with Oliver on 2014/08/26 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/08/26\", \"Oliver\"], [\"where did I go for the date on 2014/08/26\", \"a park\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2956\", \"logical_representation\": [\"2014/08/26\", \"dinner\", \"sandwich\", \"Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/08/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2957\", \"logical_representation\": [\"2014/08/26\", \"Nevaeh\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 42 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the late afternoon on 2014/08/26?\", \"42 minutes\"], [\"who did I talk to on 2014/08/26?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2014/08/26?\", \"yes\"], [\"Did I talk to anyone on 2014/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/31\": {\"cook\": {\"eid\": \"e2569\", \"logical_representation\": [\"2014/08/31\", \"I entertained Andrew, Emily, Carter, Kayden at my place on 2014/08/31 and cook au gratin peas and potatoes, vietnamese coffee\", \"cook\", \"au gratin peas and potatoes, vietnamese coffee\", \"Andrew, Emily, Carter, Kayden\", \"my place\"], \"text_template_based\": \"I entertained Andrew, Emily, Carter, Kayden at my place on 2014/08/31 and cook au gratin peas and potatoes, vietnamese coffee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook au gratin peas and potatoes, vietnamese coffee with Andrew, Emily, Carter, Kayden?\", \"2014/08/31\"], [\"what did I cook on 2014/08/31?\", \"au gratin peas and potatoes, vietnamese coffee\"], [\"who was I with when I  au gratin peas and potatoes, vietnamese coffee on 2014/08/31?\", \"Andrew, Emily, Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e2570\", \"logical_representation\": [\"2014/08/31\", \"Mike\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Mike on 2014/08/31 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/08/31\", \"Mike\"], [\"where did I go for the date on 2014/08/31\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2966\", \"logical_representation\": [\"2014/08/31\", \"lunch\", \"tacos\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/31\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2967\", \"logical_representation\": [\"2014/08/31\", \"Rylee\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Rylee for 32 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2014/08/31?\", \"32 minutes\"], [\"who did I talk to on 2014/08/31?\", \"Rylee\"], [\"Did I talk to Rylee on 2014/08/31?\", \"yes\"], [\"Did I talk to anyone on 2014/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2968\", \"logical_representation\": [\"2014/08/31\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/31?\", \"29 minutes\"], [\"what did I read on 2014/08/31?\", \"news\"], [\"Did I read on 2014/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/27\": {\"hobbies\": {\"eid\": \"e2571\", \"logical_representation\": [\"2014/08/27\", \"I spent time yoga on 2014/08/27 with Carter.\", \"yoga\", \"Carter\"], \"text_template_based\": \"I spent time yoga on 2014/08/27 with Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Carter?\", \"2014/08/27\"], [\"On 2014/08/27, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2014/08/27?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2958\", \"logical_representation\": [\"2014/08/27\", \"breakfast\", \"toast and cheese\", \"Nora, Olivia, Piper, Claire, Avery, Eva, Rylee, Nevaeh, Piper, Lydia, Layla, Kinsley, Hazel\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2959\", \"logical_representation\": [\"2014/08/27\", \"lunch\", \"steak\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had steak for lunch with Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/08/27?\", \"Jackson, Benjamin\"], [\"what did I eat for lunch on 2014/08/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2960\", \"logical_representation\": [\"2014/08/27\", \"a movie\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/27?\", \"20 minutes\"], [\"what did I watch on tv on 2014/08/27?\", \"a movie\"], [\"Did I watch tv on 2014/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/06\": {\"grocery\": {\"eid\": \"e2572\", \"logical_representation\": [\"2014/09/06\", \"I went grocery shopping with Nora, Piper, Kinsley. I bought some strawberries, guava, clementines, apples, tea, chocolate milk, mango juice, apple juice, and shampoo, mouth wash\", \"strawberries, guava, clementines, apples\", \"tea, chocolate milk, mango juice, apple juice\", \"shampoo, mouth wash\", \"Nora, Piper, Kinsley\"], \"text_template_based\": \"I went grocery shopping with Nora, Piper, Kinsley. I bought some strawberries, guava, clementines, apples, tea, chocolate milk, mango juice, apple juice, and shampoo, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/09/06?\", \"strawberries, guava, clementines, apples, tea, chocolate milk, mango juice, apple juice, and shampoo, mouth wash\"], [\"what fruits did I buy from the grocery store on 2014/09/06?\", \"strawberries, guava, clementines, apples\"], [\"what drinks did I buy from the grocery store on 2014/09/06?\", \"tea, chocolate milk, mango juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2014/09/06?\", \"shampoo, mouth wash\"], [\"who was with me at the grocery store on 2014/09/06?\", \"Nora, Piper, Kinsley\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2975\", \"logical_representation\": [\"2014/09/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/09/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2014/09/12\": {\"hobbies\": {\"eid\": \"e2573\", \"logical_representation\": [\"2014/09/12\", \"I spent some time working out on 2014/09/12.\", \"working out\", \"Emily, Andrew\"], \"text_template_based\": \"I spent some time working out on 2014/09/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2014/09/12\"], [\"On 2014/09/12, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}}, \"2014/09/20\": {\"grocery\": {\"eid\": \"e2574\", \"logical_representation\": [\"2014/09/20\", \"I bought some apples, peaches, soda, chocolate milk, toilet paper, conditioner, shaving cream, shampoo from the grocery store. I saw Emily, Andrew, Kayden at the grocery store.\", \"apples, peaches\", \"soda, chocolate milk\", \"toilet paper, conditioner, shaving cream, shampoo\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I bought some apples, peaches, soda, chocolate milk, toilet paper, conditioner, shaving cream, shampoo from the grocery store. I saw Emily, Andrew, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/09/20?\", \"apples, peaches, soda, chocolate milk, and toilet paper, conditioner, shaving cream, shampoo\"], [\"what fruits did I buy from the grocery store on 2014/09/20?\", \"apples, peaches\"], [\"what drinks did I buy from the grocery store on 2014/09/20?\", \"soda, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2014/09/20?\", \"toilet paper, conditioner, shaving cream, shampoo\"], [\"who did I see at the grocery store on 2014/09/20?\", \"Emily, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3000\", \"logical_representation\": [\"2014/09/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/09/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3001\", \"logical_representation\": [\"2014/09/20\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/09/20?\", \"29 minutes\"], [\"what did I read on 2014/09/20?\", \"social media\"], [\"Did I read on 2014/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3002\", \"logical_representation\": [\"2014/09/20\", \"a documentary\", \"48 minutes\"], \"text_template_based\": \"I watched a documentary for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/20?\", \"48 minutes\"], [\"what did I watch on tv on 2014/09/20?\", \"a documentary\"], [\"Did I watch tv on 2014/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/24\": {\"grocery\": {\"eid\": \"e2575\", \"logical_representation\": [\"2014/09/24\", \"I bought some mangos, mandarins, soda, orange juice, coffee, toilet paper, conditioner, toothbrush, shaving cream online.\", \"mangos, mandarins\", \"soda, orange juice, coffee\", \"toilet paper, conditioner, toothbrush, shaving cream\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I bought some mangos, mandarins, soda, orange juice, coffee, toilet paper, conditioner, toothbrush, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/09/24?\", \"mangos, mandarins, soda, orange juice, coffee, and toilet paper, conditioner, toothbrush, shaving cream\"], [\"what fruits did I buy online on 2014/09/24?\", \"mangos, mandarins\"], [\"what drinks did I buy online on 2014/09/24?\", \"soda, orange juice, coffee\"], [\"what toiletries did I buy online on 2014/09/24?\", \"toilet paper, conditioner, toothbrush, shaving cream\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3008\", \"logical_representation\": [\"2014/09/24\", \"lunch\", \"a burger\", \"Claire, Layla, Piper, Avery\"], \"text_template_based\": \"I had a burger for lunch with Claire, Layla, Piper, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/09/24?\", \"Claire, Layla, Piper, Avery\"], [\"what did I eat for lunch on 2014/09/24\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3009\", \"logical_representation\": [\"2014/09/24\", \"Rylee\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Rylee for 53 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2014/09/24?\", \"53 minutes\"], [\"who did I talk to on 2014/09/24?\", \"Rylee\"], [\"Did I talk to Rylee on 2014/09/24?\", \"yes\"], [\"Did I talk to anyone on 2014/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/12\": {\"dating\": {\"eid\": \"e2576\", \"logical_representation\": [\"2014/10/12\", \"Leilani\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Leilani on 2014/10/12 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/10/12\", \"Leilani\"], [\"where did I go for the date on 2014/10/12\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e2577\", \"logical_representation\": [\"2014/10/12\", \"I really enjoyed learning a language on 2014/10/12\", \"learning a language\", \"Kayden, Carter\"], \"text_template_based\": \"I really enjoyed learning a language on 2014/10/12\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2014/10/12\"], [\"On 2014/10/12, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}}, \"2014/10/18\": {\"hobbies\": {\"eid\": \"e2578\", \"logical_representation\": [\"2014/10/18\", \"I spent time meditation on 2014/10/18 with Andrew, Kayden.\", \"meditation\", \"Andrew, Kayden\"], \"text_template_based\": \"I spent time meditation on 2014/10/18 with Andrew, Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Andrew, Kayden?\", \"2014/10/18\"], [\"On 2014/10/18, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2014/10/18?\", \"Andrew, Kayden\"]], \"multihop_qa_pairs\": []}}, \"2014/10/16\": {\"grocery\": {\"eid\": \"e2579\", \"logical_representation\": [\"2014/10/16\", \"I bought some watermelons, sports drinks, mango juice, apple juice, tea, shaving cream, mouth wash online.\", \"watermelons\", \"sports drinks, mango juice, apple juice, tea\", \"shaving cream, mouth wash\", \"Avery, Nora, Piper, Piper, Nevaeh, Lydia\"], \"text_template_based\": \"I bought some watermelons, sports drinks, mango juice, apple juice, tea, shaving cream, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/10/16?\", \"watermelons, sports drinks, mango juice, apple juice, tea, and shaving cream, mouth wash\"], [\"what fruits did I buy online on 2014/10/16?\", \"watermelons\"], [\"what drinks did I buy online on 2014/10/16?\", \"sports drinks, mango juice, apple juice, tea\"], [\"what toiletries did I buy online on 2014/10/16?\", \"shaving cream, mouth wash\"]], \"multihop_qa_pairs\": []}}, \"2014/10/19\": {\"grocery\": {\"eid\": \"e2580\", \"logical_representation\": [\"2014/10/19\", \"I went grocery shopping. I bought some guava, watermelons, cherres, pears, milk, soda, coffee, and mouth wash, body lotion, conditioner, mouthwash\", \"guava, watermelons, cherres, pears\", \"milk, soda, coffee\", \"mouth wash, body lotion, conditioner, mouthwash\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some guava, watermelons, cherres, pears, milk, soda, coffee, and mouth wash, body lotion, conditioner, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/10/19?\", \"guava, watermelons, cherres, pears, milk, soda, coffee, and mouth wash, body lotion, conditioner, mouthwash\"], [\"what fruits did I buy from the grocery store on 2014/10/19?\", \"guava, watermelons, cherres, pears\"], [\"what drinks did I buy from the grocery store on 2014/10/19?\", \"milk, soda, coffee\"], [\"what toiletries did I buy from the grocery store on 2014/10/19?\", \"mouth wash, body lotion, conditioner, mouthwash\"]], \"multihop_qa_pairs\": []}}, \"2014/11/04\": {\"dating\": {\"eid\": \"e2581\", \"logical_representation\": [\"2014/11/04\", \"Christian\", \"a boba shop\"], \"text_template_based\": \"On 2014/11/04, I took Christian on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/11/04\", \"Christian\"], [\"where did I go for the date on 2014/11/04\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3059\", \"logical_representation\": [\"2014/11/04\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/11/04?\", \"11 minutes\"], [\"what did I read on 2014/11/04?\", \"a book\"], [\"Did I read on 2014/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/02\": {\"grocery\": {\"eid\": \"e2582\", \"logical_representation\": [\"2014/11/02\", \"I bought some blueberries, clementines, pears, mandarins, orange juice, shaving cream, paper towel, facial wash online.\", \"blueberries, clementines, pears, mandarins\", \"orange juice\", \"shaving cream, paper towel, facial wash\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I bought some blueberries, clementines, pears, mandarins, orange juice, shaving cream, paper towel, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/11/02?\", \"blueberries, clementines, pears, mandarins, orange juice, and shaving cream, paper towel, facial wash\"], [\"what fruits did I buy online on 2014/11/02?\", \"blueberries, clementines, pears, mandarins\"], [\"what drinks did I buy online on 2014/11/02?\", \"orange juice\"], [\"what toiletries did I buy online on 2014/11/02?\", \"shaving cream, paper towel, facial wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3056\", \"logical_representation\": [\"2014/11/02\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Nevaeh, Avery, Piper, Eva, Olivia, Hazel, Layla, Nora\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3057\", \"logical_representation\": [\"2014/11/02\", \"lunch\", \"a burger\", \"Nora, Claire, Piper, Layla\"], \"text_template_based\": \"I had a burger for lunch with Nora, Claire, Piper, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/11/02?\", \"Nora, Claire, Piper, Layla\"], [\"what did I eat for lunch on 2014/11/02\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2014/11/14\": {\"dating\": {\"eid\": \"e2583\", \"logical_representation\": [\"2014/11/14\", \"Wyatt\", \"a park\"], \"text_template_based\": \"I went on a date with Wyatt on 2014/11/14 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/11/14\", \"Wyatt\"], [\"where did I go for the date on 2014/11/14\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3072\", \"logical_representation\": [\"2014/11/14\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3073\", \"logical_representation\": [\"2014/11/14\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I watched a tv series for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/14?\", \"42 minutes\"], [\"what did I watch on tv on 2014/11/14?\", \"a tv series\"], [\"Did I watch tv on 2014/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/18\": {\"dating\": {\"eid\": \"e2584\", \"logical_representation\": [\"2014/11/18\", \"Nathan\", \"a coffee Shop\"], \"text_template_based\": \"On 2014/11/18, I took Nathan on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/11/18\", \"Nathan\"], [\"where did I go for the date on 2014/11/18\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}}, \"2014/12/01\": {\"grocery\": {\"eid\": \"e2585\", \"logical_representation\": [\"2014/12/01\", \"I bought some mangos, pears, mango juice, milk, sports drinks, orange juice, mouthwash, body lotion, paper towel, toothbrush online.\", \"mangos, pears\", \"mango juice, milk, sports drinks, orange juice\", \"mouthwash, body lotion, paper towel, toothbrush\", \"Kayden\"], \"text_template_based\": \"I bought some mangos, pears, mango juice, milk, sports drinks, orange juice, mouthwash, body lotion, paper towel, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2014/12/01?\", \"mangos, pears, mango juice, milk, sports drinks, orange juice, and mouthwash, body lotion, paper towel, toothbrush\"], [\"what fruits did I buy online on 2014/12/01?\", \"mangos, pears\"], [\"what drinks did I buy online on 2014/12/01?\", \"mango juice, milk, sports drinks, orange juice\"], [\"what toiletries did I buy online on 2014/12/01?\", \"mouthwash, body lotion, paper towel, toothbrush\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3104\", \"logical_representation\": [\"2014/12/01\", \"lunch\", \"tacos\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/12/01\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2014/12/04\": {\"dating\": {\"eid\": \"e2586\", \"logical_representation\": [\"2014/12/04\", \"Lillian\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Lillian on 2014/12/04 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/12/04\", \"Lillian\"], [\"where did I go for the date on 2014/12/04\", \"a boba shop\"]], \"multihop_qa_pairs\": []}}, \"2014/12/10\": {\"cook\": {\"eid\": \"e2587\", \"logical_representation\": [\"2014/12/10\", \"I really enjoyed cooking asian slaw on 2014/12/10 with Avery, Benjamin at my place\", \"cook\", \"asian slaw\", \"Avery, Benjamin\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking asian slaw on 2014/12/10 with Avery, Benjamin at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  asian slaw with Avery, Benjamin?\", \"2014/12/10\"], [\"what did I  on 2014/12/10?\", \"asian slaw\"], [\"who was I with when I  asian slaw on 2014/12/10?\", \"Avery, Benjamin\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3112\", \"logical_representation\": [\"2014/12/10\", \"breakfast\", \"oatmeal\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/10\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3113\", \"logical_representation\": [\"2014/12/10\", \"lunch\", \"sushi\", \"Olivia, Layla, Eva\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/12/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3114\", \"logical_representation\": [\"2014/12/10\", \"Hazel, Layla\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Hazel, Layla for 45 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla in the early afternoon on 2014/12/10?\", \"45 minutes\"], [\"who did I talk to on 2014/12/10?\", \"Hazel, Layla\"], [\"Did I talk to Hazel, Layla on 2014/12/10?\", \"yes\"], [\"Did I talk to anyone on 2014/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3115\", \"logical_representation\": [\"2014/12/10\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/12/10?\", \"32 minutes\"], [\"what did I read on 2014/12/10?\", \"social media\"], [\"Did I read on 2014/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/16\": {\"dating\": {\"eid\": \"e2588\", \"logical_representation\": [\"2014/12/16\", \"Emma\", \"a park\"], \"text_template_based\": \"On 2014/12/16, I took Emma on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2014/12/16\", \"Emma\"], [\"where did I go for the date on 2014/12/16\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3124\", \"logical_representation\": [\"2014/12/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/12/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3125\", \"logical_representation\": [\"2014/12/16\", \"lunch\", \"chinese food\", \"Piper, Olivia, Lydia, Eva\"], \"text_template_based\": \"I had lunch with Piper, Olivia, Lydia, Eva. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/12/16?\", \"Piper, Olivia, Lydia, Eva\"], [\"what did I eat for lunch on 2014/12/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3126\", \"logical_representation\": [\"2014/12/16\", \"Piper\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper for 27 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2014/12/16?\", \"27 minutes\"], [\"who did I talk to on 2014/12/16?\", \"Piper\"], [\"Did I talk to Piper on 2014/12/16?\", \"yes\"], [\"Did I talk to anyone on 2014/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/26\": {\"grocery\": {\"eid\": \"e2589\", \"logical_representation\": [\"2014/12/26\", \"I bought some pears, bananas, apples, pineapple juice, chocolate milk, mouth wash from the grocery store. I saw Carter, Emily, Kayden at the grocery store.\", \"pears, bananas, apples\", \"pineapple juice, chocolate milk\", \"mouth wash\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I bought some pears, bananas, apples, pineapple juice, chocolate milk, mouth wash from the grocery store. I saw Carter, Emily, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/12/26?\", \"pears, bananas, apples, pineapple juice, chocolate milk, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2014/12/26?\", \"pears, bananas, apples\"], [\"what drinks did I buy from the grocery store on 2014/12/26?\", \"pineapple juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2014/12/26?\", \"mouth wash\"], [\"who did I see at the grocery store on 2014/12/26?\", \"Carter, Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3145\", \"logical_representation\": [\"2014/12/26\", \"lunch\", \"steak\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/12/26\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2014/12/27\": {\"grocery\": {\"eid\": \"e2590\", \"logical_representation\": [\"2014/12/27\", \"I went grocery shopping. I bought some raspberries, coffee, sports drinks, mineral water, and mouthwash, facial wash, mouth wash\", \"raspberries\", \"coffee, sports drinks, mineral water\", \"mouthwash, facial wash, mouth wash\", \"Carter, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, coffee, sports drinks, mineral water, and mouthwash, facial wash, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2014/12/27?\", \"raspberries, coffee, sports drinks, mineral water, and mouthwash, facial wash, mouth wash\"], [\"what fruits did I buy from the grocery store on 2014/12/27?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2014/12/27?\", \"coffee, sports drinks, mineral water\"], [\"what toiletries did I buy from the grocery store on 2014/12/27?\", \"mouthwash, facial wash, mouth wash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3146\", \"logical_representation\": [\"2014/12/27\", \"lunch\", \"sushi\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/12/27\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2014/01/01\": {\"exercise\": {\"eid\": \"e2591\", \"logical_representation\": [\"2014/01/01\", \"biking\"], \"text_template_based\": \"I did biking on 2014/01/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/01?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2592\", \"logical_representation\": [\"2014/01/01\", \"lunch\", \"chinese food\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Kayden, Andrew. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/01/01?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2014/01/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2593\", \"logical_representation\": [\"2014/01/01\", \"dinner\", \"pasta\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/01\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2014/01/04\": {\"chat0\": {\"eid\": \"e2599\", \"logical_representation\": [\"2014/01/04\", \"Piper, Piper, Nevaeh\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Piper, Piper, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Nevaeh in the morning on 2014/01/04?\", \"14 minutes\"], [\"who did I talk to on 2014/01/04?\", \"Piper, Piper, Nevaeh\"], [\"Did I talk to Piper, Piper, Nevaeh on 2014/01/04?\", \"yes\"], [\"Did I talk to anyone on 2014/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2600\", \"logical_representation\": [\"2014/01/04\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/01/04?\", \"37 minutes\"], [\"what did I read on 2014/01/04?\", \"social media\"], [\"Did I read on 2014/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/05\": {\"chat0\": {\"eid\": \"e2601\", \"logical_representation\": [\"2014/01/05\", \"Kinsley, Claire\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Kinsley, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire in the early afternoon on 2014/01/05?\", \"25 minutes\"], [\"who did I talk to on 2014/01/05?\", \"Kinsley, Claire\"], [\"Did I talk to Kinsley, Claire on 2014/01/05?\", \"yes\"], [\"Did I talk to anyone on 2014/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2602\", \"logical_representation\": [\"2014/01/05\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/01/05?\", \"55 minutes\"], [\"what did I read on 2014/01/05?\", \"a book\"], [\"Did I read on 2014/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/06\": {\"chat0\": {\"eid\": \"e2603\", \"logical_representation\": [\"2014/01/06\", \"Piper\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2014/01/06?\", \"6 minutes\"], [\"who did I talk to on 2014/01/06?\", \"Piper\"], [\"Did I talk to Piper on 2014/01/06?\", \"yes\"], [\"Did I talk to anyone on 2014/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2604\", \"logical_representation\": [\"2014/01/06\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/01/06?\", \"26 minutes\"], [\"what did I read on 2014/01/06?\", \"social media\"], [\"Did I read on 2014/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/07\": {\"breakfast\": {\"eid\": \"e2605\", \"logical_representation\": [\"2014/01/07\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/01/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2606\", \"logical_representation\": [\"2014/01/07\", \"Piper\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Piper for 6 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2014/01/07?\", \"6 minutes\"], [\"who did I talk to on 2014/01/07?\", \"Piper\"], [\"Did I talk to Piper on 2014/01/07?\", \"yes\"], [\"Did I talk to anyone on 2014/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2607\", \"logical_representation\": [\"2014/01/07\", \"news\", \"10 minutes\"], \"text_template_based\": \"I watched news for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/01/07?\", \"10 minutes\"], [\"what did I watch on tv on 2014/01/07?\", \"news\"], [\"Did I watch tv on 2014/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/09\": {\"exercise\": {\"eid\": \"e2608\", \"logical_representation\": [\"2014/01/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/01/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2609\", \"logical_representation\": [\"2014/01/09\", \"lunch\", \"sandwich\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had sandwich for lunch with Emily, Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/01/09?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for lunch on 2014/01/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2610\", \"logical_representation\": [\"2014/01/09\", \"Piper, Lydia, Olivia\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Olivia for 26 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Olivia in the morning on 2014/01/09?\", \"26 minutes\"], [\"who did I talk to on 2014/01/09?\", \"Piper, Lydia, Olivia\"], [\"Did I talk to Piper, Lydia, Olivia on 2014/01/09?\", \"yes\"], [\"Did I talk to anyone on 2014/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/11\": {\"social media\": {\"eid\": \"e2611\", \"logical_representation\": [\"2014/01/11\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/01/11?\", \"7 minutes\"], [\"what did I read on 2014/01/11?\", \"social media\"], [\"Did I read on 2014/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/12\": {\"chat0\": {\"eid\": \"e2612\", \"logical_representation\": [\"2014/01/12\", \"Kinsley, Olivia, Lydia\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Kinsley, Olivia, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Lydia in the late afternoon on 2014/01/12?\", \"55 minutes\"], [\"who did I talk to on 2014/01/12?\", \"Kinsley, Olivia, Lydia\"], [\"Did I talk to Kinsley, Olivia, Lydia on 2014/01/12?\", \"yes\"], [\"Did I talk to anyone on 2014/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/13\": {\"lunch\": {\"eid\": \"e2613\", \"logical_representation\": [\"2014/01/13\", \"lunch\", \"sushi\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/01/13?\", \"Andrew, Emily, Carter\"], [\"what did I eat for lunch on 2014/01/13\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2014/01/15\": {\"dinner\": {\"eid\": \"e2616\", \"logical_representation\": [\"2014/01/15\", \"dinner\", \"indian food\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner with Carter, Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/01/15?\", \"Carter, Emily\"], [\"what did I eat for dinner on 2014/01/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2617\", \"logical_representation\": [\"2014/01/15\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/01/15?\", \"23 minutes\"], [\"what did I read on 2014/01/15?\", \"a book\"], [\"Did I read on 2014/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/16\": {\"exercise\": {\"eid\": \"e2618\", \"logical_representation\": [\"2014/01/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/01/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/01/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2619\", \"logical_representation\": [\"2014/01/16\", \"dinner\", \"fish and chips\", \"Piper, Rylee, Claire, Avery, Olivia, Lydia, Piper\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/01/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/01/17\": {\"chat0\": {\"eid\": \"e2620\", \"logical_representation\": [\"2014/01/17\", \"Avery, Olivia, Layla\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia, Layla for 11 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Layla in the morning on 2014/01/17?\", \"11 minutes\"], [\"who did I talk to on 2014/01/17?\", \"Avery, Olivia, Layla\"], [\"Did I talk to Avery, Olivia, Layla on 2014/01/17?\", \"yes\"], [\"Did I talk to anyone on 2014/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/18\": {\"dinner\": {\"eid\": \"e2621\", \"logical_representation\": [\"2014/01/18\", \"dinner\", \"steak\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had steak for dinner with Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/01/18?\", \"Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2014/01/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2622\", \"logical_representation\": [\"2014/01/18\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/01/18?\", \"25 minutes\"], [\"what did I read on 2014/01/18?\", \"social media\"], [\"Did I read on 2014/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/19\": {\"lunch\": {\"eid\": \"e2623\", \"logical_representation\": [\"2014/01/19\", \"lunch\", \"sushi\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had sushi for lunch with Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/01/19?\", \"Andrew, Emily, Carter\"], [\"what did I eat for lunch on 2014/01/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2624\", \"logical_representation\": [\"2014/01/19\", \"dinner\", \"indian food\", \"Olivia, Lydia, Avery, Piper, Piper, Nora, Eva, Layla, Rylee, Kinsley, Hazel, Nevaeh\"], \"text_template_based\": \"I had dinner with Olivia, Lydia, Avery, Piper, Piper, Nora, Eva, Layla, Rylee, Kinsley, Hazel, Nevaeh. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/01/19?\", \"Olivia, Lydia, Avery, Piper, Piper, Nora, Eva, Layla, Rylee, Kinsley, Hazel, Nevaeh\"], [\"what did I eat for dinner on 2014/01/19\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2014/01/21\": {\"dinner\": {\"eid\": \"e2626\", \"logical_representation\": [\"2014/01/21\", \"dinner\", \"sushi\", \"Layla, Lydia, Eva, Olivia, Avery, Piper\"], \"text_template_based\": \"I had sushi for dinner with Layla, Lydia, Eva, Olivia, Avery, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/01/21?\", \"Layla, Lydia, Eva, Olivia, Avery, Piper\"], [\"what did I eat for dinner on 2014/01/21\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2014/01/22\": {\"chat0\": {\"eid\": \"e2627\", \"logical_representation\": [\"2014/01/22\", \"Olivia, Avery, Piper, Layla\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Olivia, Avery, Piper, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Piper, Layla in the early evening on 2014/01/22?\", \"19 minutes\"], [\"who did I talk to on 2014/01/22?\", \"Olivia, Avery, Piper, Layla\"], [\"Did I talk to Olivia, Avery, Piper, Layla on 2014/01/22?\", \"yes\"], [\"Did I talk to anyone on 2014/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/01/29\": {\"lunch\": {\"eid\": \"e2633\", \"logical_representation\": [\"2014/01/29\", \"lunch\", \"a burger\", \"Nora, Eva, Layla\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/01/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2634\", \"logical_representation\": [\"2014/01/29\", \"dinner\", \"sandwich\", \"Jackson, Avery\"], \"text_template_based\": \"I had dinner with Jackson, Avery. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/01/29?\", \"Jackson, Avery\"], [\"what did I eat for dinner on 2014/01/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2635\", \"logical_representation\": [\"2014/01/29\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/01/29?\", \"55 minutes\"], [\"what did I read on 2014/01/29?\", \"social media\"], [\"Did I read on 2014/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/01\": {\"exercise\": {\"eid\": \"e2636\", \"logical_representation\": [\"2014/02/01\", \"biking\"], \"text_template_based\": \"I did biking on 2014/02/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/01?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2637\", \"logical_representation\": [\"2014/02/01\", \"Avery, Layla, Olivia\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Avery, Layla, Olivia for 11 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Olivia in the early evening on 2014/02/01?\", \"11 minutes\"], [\"who did I talk to on 2014/02/01?\", \"Avery, Layla, Olivia\"], [\"Did I talk to Avery, Layla, Olivia on 2014/02/01?\", \"yes\"], [\"Did I talk to anyone on 2014/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/04\": {\"breakfast\": {\"eid\": \"e2642\", \"logical_representation\": [\"2014/02/04\", \"breakfast\", \"pancakes\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I had pancakes for breakfast with Benjamin, Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/02/04?\", \"Benjamin, Avery, Jackson, Willow\"], [\"what did I eat for breakfast on 2014/02/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2643\", \"logical_representation\": [\"2014/02/04\", \"Piper\", \"in the late afternoon\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2014/02/04?\", \"35 minutes\"], [\"who did I talk to on 2014/02/04?\", \"Piper\"], [\"Did I talk to Piper on 2014/02/04?\", \"yes\"], [\"Did I talk to anyone on 2014/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/06\": {\"breakfast\": {\"eid\": \"e2644\", \"logical_representation\": [\"2014/02/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/02/06?\", \"Willow\"], [\"what did I eat for breakfast on 2014/02/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2645\", \"logical_representation\": [\"2014/02/06\", \"dinner\", \"fish and chips\", \"Nevaeh, Kinsley, Piper, Hazel, Eva, Lydia, Claire, Piper, Avery, Layla, Rylee, Nora\"], \"text_template_based\": \"I had fish and chips for dinner with Nevaeh, Kinsley, Piper, Hazel, Eva, Lydia, Claire, Piper, Avery, Layla, Rylee, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/06?\", \"Nevaeh, Kinsley, Piper, Hazel, Eva, Lydia, Claire, Piper, Avery, Layla, Rylee, Nora\"], [\"what did I eat for dinner on 2014/02/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/02/07\": {\"chat0\": {\"eid\": \"e2646\", \"logical_representation\": [\"2014/02/07\", \"Eva\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Eva for 31 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2014/02/07?\", \"31 minutes\"], [\"who did I talk to on 2014/02/07?\", \"Eva\"], [\"Did I talk to Eva on 2014/02/07?\", \"yes\"], [\"Did I talk to anyone on 2014/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2647\", \"logical_representation\": [\"2014/02/07\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/02/07?\", \"23 minutes\"], [\"what did I read on 2014/02/07?\", \"social media\"], [\"Did I read on 2014/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/08\": {\"chat0\": {\"eid\": \"e2648\", \"logical_representation\": [\"2014/02/08\", \"Avery\", \"in the late afternoon\", \"21 minutes\"], \"text_template_based\": \"I talked to Avery for 21 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2014/02/08?\", \"21 minutes\"], [\"who did I talk to on 2014/02/08?\", \"Avery\"], [\"Did I talk to Avery on 2014/02/08?\", \"yes\"], [\"Did I talk to anyone on 2014/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2649\", \"logical_representation\": [\"2014/02/08\", \"a documentary\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/08?\", \"18 minutes\"], [\"what did I watch on tv on 2014/02/08?\", \"a documentary\"], [\"Did I watch tv on 2014/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/09\": {\"exercise\": {\"eid\": \"e2650\", \"logical_representation\": [\"2014/02/09\", \"biking\"], \"text_template_based\": \"I did biking on 2014/02/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/02/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2651\", \"logical_representation\": [\"2014/02/09\", \"dinner\", \"sushi\", \"Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/02/09\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2652\", \"logical_representation\": [\"2014/02/09\", \"Nevaeh, Piper\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper for 17 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper in the early afternoon on 2014/02/09?\", \"17 minutes\"], [\"who did I talk to on 2014/02/09?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2014/02/09?\", \"yes\"], [\"Did I talk to anyone on 2014/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/10\": {\"watch tv\": {\"eid\": \"e2653\", \"logical_representation\": [\"2014/02/10\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/10?\", \"30 minutes\"], [\"what did I watch on tv on 2014/02/10?\", \"news\"], [\"Did I watch tv on 2014/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/12\": {\"dinner\": {\"eid\": \"e2654\", \"logical_representation\": [\"2014/02/12\", \"dinner\", \"fish and chips\", \"Eva, Piper, Nora, Layla, Nevaeh, Rylee, Lydia, Hazel\"], \"text_template_based\": \"I had dinner with Eva, Piper, Nora, Layla, Nevaeh, Rylee, Lydia, Hazel. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/12?\", \"Eva, Piper, Nora, Layla, Nevaeh, Rylee, Lydia, Hazel\"], [\"what did I eat for dinner on 2014/02/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/02/14\": {\"breakfast\": {\"eid\": \"e2656\", \"logical_representation\": [\"2014/02/14\", \"breakfast\", \"pancakes\", \"Piper\"], \"text_template_based\": \"I had pancakes for breakfast with Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/02/14?\", \"Piper\"], [\"what did I eat for breakfast on 2014/02/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2657\", \"logical_representation\": [\"2014/02/14\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/14?\", \"44 minutes\"], [\"what did I watch on tv on 2014/02/14?\", \"news\"], [\"Did I watch tv on 2014/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/16\": {\"chat0\": {\"eid\": \"e2659\", \"logical_representation\": [\"2014/02/16\", \"Lydia, Claire\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Lydia, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire late in the evening on 2014/02/16?\", \"10 minutes\"], [\"who did I talk to on 2014/02/16?\", \"Lydia, Claire\"], [\"Did I talk to Lydia, Claire on 2014/02/16?\", \"yes\"], [\"Did I talk to anyone on 2014/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2660\", \"logical_representation\": [\"2014/02/16\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/02/16?\", \"18 minutes\"], [\"what did I read on 2014/02/16?\", \"social media\"], [\"Did I read on 2014/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2661\", \"logical_representation\": [\"2014/02/16\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/16?\", \"37 minutes\"], [\"what did I watch on tv on 2014/02/16?\", \"a documentary\"], [\"Did I watch tv on 2014/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/18\": {\"breakfast\": {\"eid\": \"e2662\", \"logical_representation\": [\"2014/02/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Avery\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/02/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2663\", \"logical_representation\": [\"2014/02/18\", \"lunch\", \"sushi\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/02/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2664\", \"logical_representation\": [\"2014/02/18\", \"Rylee, Lydia, Eva, Avery\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Rylee, Lydia, Eva, Avery for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Eva, Avery in the morning on 2014/02/18?\", \"45 minutes\"], [\"who did I talk to on 2014/02/18?\", \"Rylee, Lydia, Eva, Avery\"], [\"Did I talk to Rylee, Lydia, Eva, Avery on 2014/02/18?\", \"yes\"], [\"Did I talk to anyone on 2014/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/20\": {\"breakfast\": {\"eid\": \"e2665\", \"logical_representation\": [\"2014/02/20\", \"breakfast\", \"oatmeal\", \"Kinsley, Claire, Olivia, Avery, Piper, Eva, Nevaeh\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/02/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2666\", \"logical_representation\": [\"2014/02/20\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/02/20?\", \"48 minutes\"], [\"what did I read on 2014/02/20?\", \"social media\"], [\"Did I read on 2014/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/24\": {\"lunch\": {\"eid\": \"e2668\", \"logical_representation\": [\"2014/02/24\", \"lunch\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/02/24\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2014/02/26\": {\"chat0\": {\"eid\": \"e2672\", \"logical_representation\": [\"2014/02/26\", \"Avery, Olivia, Lydia\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia, Lydia for 5 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Lydia in the early evening on 2014/02/26?\", \"5 minutes\"], [\"who did I talk to on 2014/02/26?\", \"Avery, Olivia, Lydia\"], [\"Did I talk to Avery, Olivia, Lydia on 2014/02/26?\", \"yes\"], [\"Did I talk to anyone on 2014/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2673\", \"logical_representation\": [\"2014/02/26\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/02/26?\", \"53 minutes\"], [\"what did I read on 2014/02/26?\", \"news\"], [\"Did I read on 2014/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/27\": {\"dinner\": {\"eid\": \"e2674\", \"logical_representation\": [\"2014/02/27\", \"dinner\", \"sushi\", \"Rylee, Kinsley, Piper, Lydia, Piper, Layla, Nevaeh, Claire, Hazel, Olivia, Nora, Eva, Avery\"], \"text_template_based\": \"I had sushi for dinner with Rylee, Kinsley, Piper, Lydia, Piper, Layla, Nevaeh, Claire, Hazel, Olivia, Nora, Eva, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/02/27?\", \"Rylee, Kinsley, Piper, Lydia, Piper, Layla, Nevaeh, Claire, Hazel, Olivia, Nora, Eva, Avery\"], [\"what did I eat for dinner on 2014/02/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2675\", \"logical_representation\": [\"2014/02/27\", \"Hazel, Rylee\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Hazel, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee in the early afternoon on 2014/02/27?\", \"17 minutes\"], [\"who did I talk to on 2014/02/27?\", \"Hazel, Rylee\"], [\"Did I talk to Hazel, Rylee on 2014/02/27?\", \"yes\"], [\"Did I talk to anyone on 2014/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/02/28\": {\"watch tv\": {\"eid\": \"e2676\", \"logical_representation\": [\"2014/02/28\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/02/28?\", \"36 minutes\"], [\"what did I watch on tv on 2014/02/28?\", \"a movie\"], [\"Did I watch tv on 2014/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/02\": {\"chat0\": {\"eid\": \"e2679\", \"logical_representation\": [\"2014/03/02\", \"Nevaeh, Kinsley\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Kinsley for 9 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Kinsley in the morning on 2014/03/02?\", \"9 minutes\"], [\"who did I talk to on 2014/03/02?\", \"Nevaeh, Kinsley\"], [\"Did I talk to Nevaeh, Kinsley on 2014/03/02?\", \"yes\"], [\"Did I talk to anyone on 2014/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/04\": {\"chat0\": {\"eid\": \"e2680\", \"logical_representation\": [\"2014/03/04\", \"Olivia, Nevaeh, Lydia, Rylee\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Olivia, Nevaeh, Lydia, Rylee for 41 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh, Lydia, Rylee late in the evening on 2014/03/04?\", \"41 minutes\"], [\"who did I talk to on 2014/03/04?\", \"Olivia, Nevaeh, Lydia, Rylee\"], [\"Did I talk to Olivia, Nevaeh, Lydia, Rylee on 2014/03/04?\", \"yes\"], [\"Did I talk to anyone on 2014/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/05\": {\"breakfast\": {\"eid\": \"e2681\", \"logical_representation\": [\"2014/03/05\", \"breakfast\", \"oatmeal\", \"Emily, Carter\"], \"text_template_based\": \"I had oatmeal for breakfast with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/03/05?\", \"Emily, Carter\"], [\"what did I eat for breakfast on 2014/03/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2014/03/06\": {\"lunch\": {\"eid\": \"e2682\", \"logical_representation\": [\"2014/03/06\", \"lunch\", \"fish and chips\", \"Nevaeh, Rylee, Claire, Hazel, Layla, Piper, Kinsley, Eva, Olivia, Piper\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/03/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2683\", \"logical_representation\": [\"2014/03/06\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/06?\", \"17 minutes\"], [\"what did I watch on tv on 2014/03/06?\", \"news\"], [\"Did I watch tv on 2014/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/07\": {\"lunch\": {\"eid\": \"e2684\", \"logical_representation\": [\"2014/03/07\", \"lunch\", \"fish and chips\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/03/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/03/09\": {\"breakfast\": {\"eid\": \"e2685\", \"logical_representation\": [\"2014/03/09\", \"breakfast\", \"oatmeal\", \"Benjamin, Willow\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2686\", \"logical_representation\": [\"2014/03/09\", \"Piper, Nevaeh\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Piper, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh in the early afternoon on 2014/03/09?\", \"49 minutes\"], [\"who did I talk to on 2014/03/09?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2014/03/09?\", \"yes\"], [\"Did I talk to anyone on 2014/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/10\": {\"read\": {\"eid\": \"e2687\", \"logical_representation\": [\"2014/03/10\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/03/10?\", \"23 minutes\"], [\"what did I read on 2014/03/10?\", \"news\"], [\"Did I read on 2014/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/11\": {\"chat0\": {\"eid\": \"e2688\", \"logical_representation\": [\"2014/03/11\", \"Hazel, Avery, Nevaeh, Olivia\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Hazel, Avery, Nevaeh, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery, Nevaeh, Olivia in the early evening on 2014/03/11?\", \"26 minutes\"], [\"who did I talk to on 2014/03/11?\", \"Hazel, Avery, Nevaeh, Olivia\"], [\"Did I talk to Hazel, Avery, Nevaeh, Olivia on 2014/03/11?\", \"yes\"], [\"Did I talk to anyone on 2014/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2689\", \"logical_representation\": [\"2014/03/11\", \"news\", \"42 minutes\"], \"text_template_based\": \"I watched news for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/11?\", \"42 minutes\"], [\"what did I watch on tv on 2014/03/11?\", \"news\"], [\"Did I watch tv on 2014/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/12\": {\"chat0\": {\"eid\": \"e2690\", \"logical_representation\": [\"2014/03/12\", \"Kinsley, Olivia, Nora, Hazel\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Kinsley, Olivia, Nora, Hazel for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Nora, Hazel during lunch hours on 2014/03/12?\", \"31 minutes\"], [\"who did I talk to on 2014/03/12?\", \"Kinsley, Olivia, Nora, Hazel\"], [\"Did I talk to Kinsley, Olivia, Nora, Hazel on 2014/03/12?\", \"yes\"], [\"Did I talk to anyone on 2014/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2691\", \"logical_representation\": [\"2014/03/12\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/03/12?\", \"20 minutes\"], [\"what did I read on 2014/03/12?\", \"social media\"], [\"Did I read on 2014/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/14\": {\"breakfast\": {\"eid\": \"e2692\", \"logical_representation\": [\"2014/03/14\", \"breakfast\", \"toast and cheese\", \"Eva, Lydia, Avery, Nora, Claire, Layla, Nevaeh, Rylee, Olivia, Kinsley, Piper, Piper, Hazel\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2693\", \"logical_representation\": [\"2014/03/14\", \"dinner\", \"pasta\", \"Avery, Rylee, Olivia, Hazel\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/03/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2694\", \"logical_representation\": [\"2014/03/14\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/03/14?\", \"28 minutes\"], [\"what did I read on 2014/03/14?\", \"a book\"], [\"Did I read on 2014/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/15\": {\"lunch\": {\"eid\": \"e2695\", \"logical_representation\": [\"2014/03/15\", \"lunch\", \"sandwich\", \"Jackson, Benjamin\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/03/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2696\", \"logical_representation\": [\"2014/03/15\", \"Hazel, Nevaeh\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Hazel, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh during lunch hours on 2014/03/15?\", \"53 minutes\"], [\"who did I talk to on 2014/03/15?\", \"Hazel, Nevaeh\"], [\"Did I talk to Hazel, Nevaeh on 2014/03/15?\", \"yes\"], [\"Did I talk to anyone on 2014/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2697\", \"logical_representation\": [\"2014/03/15\", \"a documentary\", \"15 minutes\"], \"text_template_based\": \"I watched a documentary for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/15?\", \"15 minutes\"], [\"what did I watch on tv on 2014/03/15?\", \"a documentary\"], [\"Did I watch tv on 2014/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/16\": {\"exercise\": {\"eid\": \"e2698\", \"logical_representation\": [\"2014/03/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/03/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2699\", \"logical_representation\": [\"2014/03/16\", \"dinner\", \"sandwich\", \"Emily, Kayden\"], \"text_template_based\": \"I had sandwich for dinner with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/03/16?\", \"Emily, Kayden\"], [\"what did I eat for dinner on 2014/03/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2700\", \"logical_representation\": [\"2014/03/16\", \"Hazel\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2014/03/16?\", \"45 minutes\"], [\"who did I talk to on 2014/03/16?\", \"Hazel\"], [\"Did I talk to Hazel on 2014/03/16?\", \"yes\"], [\"Did I talk to anyone on 2014/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/18\": {\"lunch\": {\"eid\": \"e2703\", \"logical_representation\": [\"2014/03/18\", \"lunch\", \"pasta\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/03/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2704\", \"logical_representation\": [\"2014/03/18\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/03/18?\", \"8 minutes\"], [\"what did I read on 2014/03/18?\", \"news\"], [\"Did I read on 2014/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/19\": {\"chat0\": {\"eid\": \"e2705\", \"logical_representation\": [\"2014/03/19\", \"Nevaeh, Hazel, Rylee, Claire\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Hazel, Rylee, Claire for 49 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Rylee, Claire in the early evening on 2014/03/19?\", \"49 minutes\"], [\"who did I talk to on 2014/03/19?\", \"Nevaeh, Hazel, Rylee, Claire\"], [\"Did I talk to Nevaeh, Hazel, Rylee, Claire on 2014/03/19?\", \"yes\"], [\"Did I talk to anyone on 2014/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/20\": {\"breakfast\": {\"eid\": \"e2706\", \"logical_representation\": [\"2014/03/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Avery\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2707\", \"logical_representation\": [\"2014/03/20\", \"Hazel, Lydia\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia for 53 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia in the late afternoon on 2014/03/20?\", \"53 minutes\"], [\"who did I talk to on 2014/03/20?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2014/03/20?\", \"yes\"], [\"Did I talk to anyone on 2014/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/21\": {\"lunch\": {\"eid\": \"e2708\", \"logical_representation\": [\"2014/03/21\", \"lunch\", \"chinese food\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had chinese food for lunch with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/03/21?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2014/03/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2709\", \"logical_representation\": [\"2014/03/21\", \"dinner\", \"tacos\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/03/21?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2014/03/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2710\", \"logical_representation\": [\"2014/03/21\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/03/21?\", \"16 minutes\"], [\"what did I read on 2014/03/21?\", \"news\"], [\"Did I read on 2014/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2711\", \"logical_representation\": [\"2014/03/21\", \"news\", \"16 minutes\"], \"text_template_based\": \"I watched news for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/21?\", \"16 minutes\"], [\"what did I watch on tv on 2014/03/21?\", \"news\"], [\"Did I watch tv on 2014/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/24\": {\"exercise\": {\"eid\": \"e2714\", \"logical_representation\": [\"2014/03/24\", \"biking\"], \"text_template_based\": \"I did biking on 2014/03/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2715\", \"logical_representation\": [\"2014/03/24\", \"breakfast\", \"toast and cheese\", \"Piper, Nevaeh, Layla, Nora, Eva, Claire, Avery, Olivia\"], \"text_template_based\": \"I had toast and cheese for breakfast with Piper, Nevaeh, Layla, Nora, Eva, Claire, Avery, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/03/24?\", \"Piper, Nevaeh, Layla, Nora, Eva, Claire, Avery, Olivia\"], [\"what did I eat for breakfast on 2014/03/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2716\", \"logical_representation\": [\"2014/03/24\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/24?\", \"37 minutes\"], [\"what did I watch on tv on 2014/03/24?\", \"a tv series\"], [\"Did I watch tv on 2014/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/26\": {\"dinner\": {\"eid\": \"e2719\", \"logical_representation\": [\"2014/03/26\", \"dinner\", \"indian food\", \"Emily, Kayden\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/03/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2720\", \"logical_representation\": [\"2014/03/26\", \"Layla, Lydia\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Layla, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia in the late afternoon on 2014/03/26?\", \"45 minutes\"], [\"who did I talk to on 2014/03/26?\", \"Layla, Lydia\"], [\"Did I talk to Layla, Lydia on 2014/03/26?\", \"yes\"], [\"Did I talk to anyone on 2014/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2721\", \"logical_representation\": [\"2014/03/26\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/03/26?\", \"17 minutes\"], [\"what did I read on 2014/03/26?\", \"news\"], [\"Did I read on 2014/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/28\": {\"exercise\": {\"eid\": \"e2723\", \"logical_representation\": [\"2014/03/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/03/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2724\", \"logical_representation\": [\"2014/03/28\", \"breakfast\", \"peanut-butter-jam\", \"Hazel, Rylee, Claire, Piper\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/03/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2725\", \"logical_representation\": [\"2014/03/28\", \"Avery, Layla\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Avery, Layla for 15 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla late in the evening on 2014/03/28?\", \"15 minutes\"], [\"who did I talk to on 2014/03/28?\", \"Avery, Layla\"], [\"Did I talk to Avery, Layla on 2014/03/28?\", \"yes\"], [\"Did I talk to anyone on 2014/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2726\", \"logical_representation\": [\"2014/03/28\", \"a tv series\", \"44 minutes\"], \"text_template_based\": \"I watched a tv series for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/28?\", \"44 minutes\"], [\"what did I watch on tv on 2014/03/28?\", \"a tv series\"], [\"Did I watch tv on 2014/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/03/30\": {\"exercise\": {\"eid\": \"e2727\", \"logical_representation\": [\"2014/03/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/03/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/03/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2728\", \"logical_representation\": [\"2014/03/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Emily. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/03/30?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2014/03/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2729\", \"logical_representation\": [\"2014/03/30\", \"Olivia, Rylee\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Olivia, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee late in the evening on 2014/03/30?\", \"24 minutes\"], [\"who did I talk to on 2014/03/30?\", \"Olivia, Rylee\"], [\"Did I talk to Olivia, Rylee on 2014/03/30?\", \"yes\"], [\"Did I talk to anyone on 2014/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2730\", \"logical_representation\": [\"2014/03/30\", \"news\", \"28 minutes\"], \"text_template_based\": \"I watched news for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/03/30?\", \"28 minutes\"], [\"what did I watch on tv on 2014/03/30?\", \"news\"], [\"Did I watch tv on 2014/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/02\": {\"breakfast\": {\"eid\": \"e2735\", \"logical_representation\": [\"2014/04/02\", \"breakfast\", \"toast and cheese\", \"Emily, Kayden\"], \"text_template_based\": \"I had toast and cheese for breakfast with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/04/02?\", \"Emily, Kayden\"], [\"what did I eat for breakfast on 2014/04/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2736\", \"logical_representation\": [\"2014/04/02\", \"lunch\", \"sandwich\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had lunch with Carter, Andrew, Kayden, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/04/02?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2014/04/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2737\", \"logical_representation\": [\"2014/04/02\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/02?\", \"36 minutes\"], [\"what did I watch on tv on 2014/04/02?\", \"a documentary\"], [\"Did I watch tv on 2014/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/06\": {\"lunch\": {\"eid\": \"e2742\", \"logical_representation\": [\"2014/04/06\", \"lunch\", \"tacos\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2743\", \"logical_representation\": [\"2014/04/06\", \"dinner\", \"pasta\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/06\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2744\", \"logical_representation\": [\"2014/04/06\", \"Piper, Hazel\", \"in the morning\", \"19 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel for 19 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel in the morning on 2014/04/06?\", \"19 minutes\"], [\"who did I talk to on 2014/04/06?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2014/04/06?\", \"yes\"], [\"Did I talk to anyone on 2014/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/08\": {\"read\": {\"eid\": \"e2748\", \"logical_representation\": [\"2014/04/08\", \"a book\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/04/08?\", \"16 minutes\"], [\"what did I read on 2014/04/08?\", \"a book\"], [\"Did I read on 2014/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2749\", \"logical_representation\": [\"2014/04/08\", \"news\", \"8 minutes\"], \"text_template_based\": \"I watched news for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/08?\", \"8 minutes\"], [\"what did I watch on tv on 2014/04/08?\", \"news\"], [\"Did I watch tv on 2014/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/09\": {\"social media\": {\"eid\": \"e2750\", \"logical_representation\": [\"2014/04/09\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/04/09?\", \"29 minutes\"], [\"what did I read on 2014/04/09?\", \"social media\"], [\"Did I read on 2014/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/10\": {\"dinner\": {\"eid\": \"e2751\", \"logical_representation\": [\"2014/04/10\", \"dinner\", \"tacos\", \"Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2752\", \"logical_representation\": [\"2014/04/10\", \"Hazel\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2014/04/10?\", \"19 minutes\"], [\"who did I talk to on 2014/04/10?\", \"Hazel\"], [\"Did I talk to Hazel on 2014/04/10?\", \"yes\"], [\"Did I talk to anyone on 2014/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/11\": {\"lunch\": {\"eid\": \"e2753\", \"logical_representation\": [\"2014/04/11\", \"lunch\", \"chinese food\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2754\", \"logical_representation\": [\"2014/04/11\", \"Eva, Claire\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Eva, Claire for 40 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire in the early evening on 2014/04/11?\", \"40 minutes\"], [\"who did I talk to on 2014/04/11?\", \"Eva, Claire\"], [\"Did I talk to Eva, Claire on 2014/04/11?\", \"yes\"], [\"Did I talk to anyone on 2014/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/12\": {\"chat0\": {\"eid\": \"e2755\", \"logical_representation\": [\"2014/04/12\", \"Lydia, Piper\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper for 54 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper in the early afternoon on 2014/04/12?\", \"54 minutes\"], [\"who did I talk to on 2014/04/12?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2014/04/12?\", \"yes\"], [\"Did I talk to anyone on 2014/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2756\", \"logical_representation\": [\"2014/04/12\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/12?\", \"44 minutes\"], [\"what did I watch on tv on 2014/04/12?\", \"news\"], [\"Did I watch tv on 2014/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/13\": {\"exercise\": {\"eid\": \"e2757\", \"logical_representation\": [\"2014/04/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/04/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2758\", \"logical_representation\": [\"2014/04/13\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/13?\", \"19 minutes\"], [\"what did I watch on tv on 2014/04/13?\", \"a movie\"], [\"Did I watch tv on 2014/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/15\": {\"social media\": {\"eid\": \"e2761\", \"logical_representation\": [\"2014/04/15\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/04/15?\", \"35 minutes\"], [\"what did I read on 2014/04/15?\", \"social media\"], [\"Did I read on 2014/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/16\": {\"watch tv\": {\"eid\": \"e2762\", \"logical_representation\": [\"2014/04/16\", \"a tv series\", \"51 minutes\"], \"text_template_based\": \"I watched a tv series for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/16?\", \"51 minutes\"], [\"what did I watch on tv on 2014/04/16?\", \"a tv series\"], [\"Did I watch tv on 2014/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/17\": {\"exercise\": {\"eid\": \"e2763\", \"logical_representation\": [\"2014/04/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/04/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2764\", \"logical_representation\": [\"2014/04/17\", \"dinner\", \"chinese food\", \"Kayden, Andrew\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2014/04/18\": {\"dinner\": {\"eid\": \"e2765\", \"logical_representation\": [\"2014/04/18\", \"dinner\", \"fish and chips\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2766\", \"logical_representation\": [\"2014/04/18\", \"Avery\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2014/04/18?\", \"19 minutes\"], [\"who did I talk to on 2014/04/18?\", \"Avery\"], [\"Did I talk to Avery on 2014/04/18?\", \"yes\"], [\"Did I talk to anyone on 2014/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/19\": {\"exercise\": {\"eid\": \"e2767\", \"logical_representation\": [\"2014/04/19\", \"biking\"], \"text_template_based\": \"I did biking on 2014/04/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2768\", \"logical_representation\": [\"2014/04/19\", \"dinner\", \"sandwich\", \"Piper, Olivia, Hazel\"], \"text_template_based\": \"I had sandwich for dinner with Piper, Olivia, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/04/19?\", \"Piper, Olivia, Hazel\"], [\"what did I eat for dinner on 2014/04/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2769\", \"logical_representation\": [\"2014/04/19\", \"Eva, Piper, Rylee, Nora\", \"during lunch hours\", \"17 minutes\"], \"text_template_based\": \"I talked to Eva, Piper, Rylee, Nora for 17 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Rylee, Nora during lunch hours on 2014/04/19?\", \"17 minutes\"], [\"who did I talk to on 2014/04/19?\", \"Eva, Piper, Rylee, Nora\"], [\"Did I talk to Eva, Piper, Rylee, Nora on 2014/04/19?\", \"yes\"], [\"Did I talk to anyone on 2014/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/20\": {\"exercise\": {\"eid\": \"e2770\", \"logical_representation\": [\"2014/04/20\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/04/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/20?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2771\", \"logical_representation\": [\"2014/04/20\", \"Lydia, Claire\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Lydia, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire in the morning on 2014/04/20?\", \"48 minutes\"], [\"who did I talk to on 2014/04/20?\", \"Lydia, Claire\"], [\"Did I talk to Lydia, Claire on 2014/04/20?\", \"yes\"], [\"Did I talk to anyone on 2014/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2772\", \"logical_representation\": [\"2014/04/20\", \"news\", \"14 minutes\"], \"text_template_based\": \"I watched news for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/20?\", \"14 minutes\"], [\"what did I watch on tv on 2014/04/20?\", \"news\"], [\"Did I watch tv on 2014/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/22\": {\"exercise\": {\"eid\": \"e2774\", \"logical_representation\": [\"2014/04/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/04/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/04/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2775\", \"logical_representation\": [\"2014/04/22\", \"breakfast\", \"cereals\", \"Piper, Nevaeh, Claire, Layla, Eva, Nora, Kinsley, Olivia, Rylee, Avery, Lydia\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/04/22\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2014/04/23\": {\"breakfast\": {\"eid\": \"e2776\", \"logical_representation\": [\"2014/04/23\", \"breakfast\", \"oatmeal\", \"Kinsley, Avery, Piper\"], \"text_template_based\": \"I had breakfast with Kinsley, Avery, Piper. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/04/23?\", \"Kinsley, Avery, Piper\"], [\"what did I eat for breakfast on 2014/04/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2777\", \"logical_representation\": [\"2014/04/23\", \"lunch\", \"pasta\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2778\", \"logical_representation\": [\"2014/04/23\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/04/23?\", \"49 minutes\"], [\"what did I read on 2014/04/23?\", \"a book\"], [\"Did I read on 2014/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/25\": {\"dinner\": {\"eid\": \"e2779\", \"logical_representation\": [\"2014/04/25\", \"dinner\", \"sandwich\", \"Lydia, Nevaeh, Avery, Eva, Nora\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/04/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2780\", \"logical_representation\": [\"2014/04/25\", \"Rylee, Piper\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Rylee, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper in the early evening on 2014/04/25?\", \"17 minutes\"], [\"who did I talk to on 2014/04/25?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2014/04/25?\", \"yes\"], [\"Did I talk to anyone on 2014/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2781\", \"logical_representation\": [\"2014/04/25\", \"a tv series\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/04/25?\", \"15 minutes\"], [\"what did I watch on tv on 2014/04/25?\", \"a tv series\"], [\"Did I watch tv on 2014/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/27\": {\"breakfast\": {\"eid\": \"e2783\", \"logical_representation\": [\"2014/04/27\", \"breakfast\", \"oatmeal\", \"Carter, Andrew\"], \"text_template_based\": \"I had oatmeal for breakfast with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/04/27?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2014/04/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2014/04/29\": {\"lunch\": {\"eid\": \"e2784\", \"logical_representation\": [\"2014/04/29\", \"lunch\", \"sushi\", \"Willow, Avery\"], \"text_template_based\": \"I had sushi for lunch with Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/04/29?\", \"Willow, Avery\"], [\"what did I eat for lunch on 2014/04/29\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2785\", \"logical_representation\": [\"2014/04/29\", \"Nora\", \"late in the evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2014/04/29?\", \"51 minutes\"], [\"who did I talk to on 2014/04/29?\", \"Nora\"], [\"Did I talk to Nora on 2014/04/29?\", \"yes\"], [\"Did I talk to anyone on 2014/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/04/30\": {\"lunch\": {\"eid\": \"e2786\", \"logical_representation\": [\"2014/04/30\", \"lunch\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/04/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2787\", \"logical_representation\": [\"2014/04/30\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/04/30?\", \"42 minutes\"], [\"what did I read on 2014/04/30?\", \"social media\"], [\"Did I read on 2014/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/01\": {\"exercise\": {\"eid\": \"e2788\", \"logical_representation\": [\"2014/05/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/05/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2014/05/02\": {\"chat0\": {\"eid\": \"e2789\", \"logical_representation\": [\"2014/05/02\", \"Piper, Eva\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I talked to Piper, Eva for 18 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva during lunch hours on 2014/05/02?\", \"18 minutes\"], [\"who did I talk to on 2014/05/02?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2014/05/02?\", \"yes\"], [\"Did I talk to anyone on 2014/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2790\", \"logical_representation\": [\"2014/05/02\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/05/02?\", \"33 minutes\"], [\"what did I read on 2014/05/02?\", \"social media\"], [\"Did I read on 2014/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/03\": {\"dinner\": {\"eid\": \"e2791\", \"logical_representation\": [\"2014/05/03\", \"dinner\", \"pasta\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I had pasta for dinner with Benjamin, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/05/03?\", \"Benjamin, Willow, Avery\"], [\"what did I eat for dinner on 2014/05/03\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2792\", \"logical_representation\": [\"2014/05/03\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/03?\", \"50 minutes\"], [\"what did I watch on tv on 2014/05/03?\", \"a documentary\"], [\"Did I watch tv on 2014/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/04\": {\"lunch\": {\"eid\": \"e2793\", \"logical_representation\": [\"2014/05/04\", \"lunch\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/04\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2014/05/05\": {\"social media\": {\"eid\": \"e2794\", \"logical_representation\": [\"2014/05/05\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/05/05?\", \"47 minutes\"], [\"what did I read on 2014/05/05?\", \"social media\"], [\"Did I read on 2014/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2795\", \"logical_representation\": [\"2014/05/05\", \"a documentary\", \"49 minutes\"], \"text_template_based\": \"I watched a documentary for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/05?\", \"49 minutes\"], [\"what did I watch on tv on 2014/05/05?\", \"a documentary\"], [\"Did I watch tv on 2014/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/06\": {\"chat0\": {\"eid\": \"e2796\", \"logical_representation\": [\"2014/05/06\", \"Piper, Lydia, Eva\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Eva for 27 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Eva in the early evening on 2014/05/06?\", \"27 minutes\"], [\"who did I talk to on 2014/05/06?\", \"Piper, Lydia, Eva\"], [\"Did I talk to Piper, Lydia, Eva on 2014/05/06?\", \"yes\"], [\"Did I talk to anyone on 2014/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/07\": {\"watch tv\": {\"eid\": \"e2797\", \"logical_representation\": [\"2014/05/07\", \"a documentary\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/07?\", \"24 minutes\"], [\"what did I watch on tv on 2014/05/07?\", \"a documentary\"], [\"Did I watch tv on 2014/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/08\": {\"exercise\": {\"eid\": \"e2798\", \"logical_representation\": [\"2014/05/08\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/05/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/08?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2799\", \"logical_representation\": [\"2014/05/08\", \"breakfast\", \"cereals\", \"Willow\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/08\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2014/05/09\": {\"lunch\": {\"eid\": \"e2800\", \"logical_representation\": [\"2014/05/09\", \"lunch\", \"sandwich\", \"Claire, Nevaeh, Lydia, Eva, Piper, Nora\"], \"text_template_based\": \"I had sandwich for lunch with Claire, Nevaeh, Lydia, Eva, Piper, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/05/09?\", \"Claire, Nevaeh, Lydia, Eva, Piper, Nora\"], [\"what did I eat for lunch on 2014/05/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2014/05/11\": {\"exercise\": {\"eid\": \"e2805\", \"logical_representation\": [\"2014/05/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/05/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2806\", \"logical_representation\": [\"2014/05/11\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/11\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2807\", \"logical_representation\": [\"2014/05/11\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I watched a movie for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/11?\", \"14 minutes\"], [\"what did I watch on tv on 2014/05/11?\", \"a movie\"], [\"Did I watch tv on 2014/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/12\": {\"lunch\": {\"eid\": \"e2808\", \"logical_representation\": [\"2014/05/12\", \"lunch\", \"pasta\", \"Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/12\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2014/05/13\": {\"breakfast\": {\"eid\": \"e2809\", \"logical_representation\": [\"2014/05/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Nevaeh, Eva, Hazel, Avery, Olivia, Kinsley, Lydia\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Piper, Nevaeh, Eva, Hazel, Avery, Olivia, Kinsley, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/05/13?\", \"Piper, Nevaeh, Eva, Hazel, Avery, Olivia, Kinsley, Lydia\"], [\"what did I eat for breakfast on 2014/05/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2014/05/14\": {\"social media\": {\"eid\": \"e2810\", \"logical_representation\": [\"2014/05/14\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/05/14?\", \"39 minutes\"], [\"what did I read on 2014/05/14?\", \"social media\"], [\"Did I read on 2014/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/15\": {\"lunch\": {\"eid\": \"e2811\", \"logical_representation\": [\"2014/05/15\", \"lunch\", \"sandwich\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch with Emily, Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/05/15?\", \"Emily, Carter\"], [\"what did I eat for lunch on 2014/05/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2812\", \"logical_representation\": [\"2014/05/15\", \"Rylee, Olivia, Layla, Eva\", \"in the morning\", \"28 minutes\"], \"text_template_based\": \"I talked to Rylee, Olivia, Layla, Eva for 28 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia, Layla, Eva in the morning on 2014/05/15?\", \"28 minutes\"], [\"who did I talk to on 2014/05/15?\", \"Rylee, Olivia, Layla, Eva\"], [\"Did I talk to Rylee, Olivia, Layla, Eva on 2014/05/15?\", \"yes\"], [\"Did I talk to anyone on 2014/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/17\": {\"breakfast\": {\"eid\": \"e2815\", \"logical_representation\": [\"2014/05/17\", \"breakfast\", \"toast and cheese\", \"Olivia, Eva, Piper, Layla, Lydia, Kinsley, Avery, Rylee, Hazel\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2014/05/18\": {\"chat0\": {\"eid\": \"e2816\", \"logical_representation\": [\"2014/05/18\", \"Eva, Rylee\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Eva, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee in the early evening on 2014/05/18?\", \"48 minutes\"], [\"who did I talk to on 2014/05/18?\", \"Eva, Rylee\"], [\"Did I talk to Eva, Rylee on 2014/05/18?\", \"yes\"], [\"Did I talk to anyone on 2014/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/20\": {\"breakfast\": {\"eid\": \"e2818\", \"logical_representation\": [\"2014/05/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2014/05/21\": {\"lunch\": {\"eid\": \"e2819\", \"logical_representation\": [\"2014/05/21\", \"lunch\", \"tacos\", \"Layla, Lydia, Nora, Claire, Piper, Nevaeh, Piper, Avery\"], \"text_template_based\": \"I had tacos for lunch with Layla, Lydia, Nora, Claire, Piper, Nevaeh, Piper, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/05/21?\", \"Layla, Lydia, Nora, Claire, Piper, Nevaeh, Piper, Avery\"], [\"what did I eat for lunch on 2014/05/21\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2014/05/22\": {\"exercise\": {\"eid\": \"e2820\", \"logical_representation\": [\"2014/05/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/05/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2821\", \"logical_representation\": [\"2014/05/22\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/05/22?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2014/05/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2822\", \"logical_representation\": [\"2014/05/22\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/22?\", \"37 minutes\"], [\"what did I watch on tv on 2014/05/22?\", \"a tv series\"], [\"Did I watch tv on 2014/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/23\": {\"breakfast\": {\"eid\": \"e2823\", \"logical_representation\": [\"2014/05/23\", \"breakfast\", \"toast and cheese\", \"Eva, Nora, Rylee, Lydia, Kinsley, Piper, Hazel, Piper, Nevaeh, Avery\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/05/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2824\", \"logical_representation\": [\"2014/05/23\", \"lunch\", \"pasta\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2825\", \"logical_representation\": [\"2014/05/23\", \"Nevaeh, Rylee, Eva, Layla\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee, Eva, Layla for 12 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Eva, Layla in the early afternoon on 2014/05/23?\", \"12 minutes\"], [\"who did I talk to on 2014/05/23?\", \"Nevaeh, Rylee, Eva, Layla\"], [\"Did I talk to Nevaeh, Rylee, Eva, Layla on 2014/05/23?\", \"yes\"], [\"Did I talk to anyone on 2014/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/24\": {\"chat0\": {\"eid\": \"e2826\", \"logical_representation\": [\"2014/05/24\", \"Layla, Nora, Eva\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Layla, Nora, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Eva during lunch hours on 2014/05/24?\", \"35 minutes\"], [\"who did I talk to on 2014/05/24?\", \"Layla, Nora, Eva\"], [\"Did I talk to Layla, Nora, Eva on 2014/05/24?\", \"yes\"], [\"Did I talk to anyone on 2014/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/25\": {\"lunch\": {\"eid\": \"e2827\", \"logical_representation\": [\"2014/05/25\", \"lunch\", \"indian food\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2828\", \"logical_representation\": [\"2014/05/25\", \"dinner\", \"sandwich\", \"Lydia, Nora, Hazel, Claire, Rylee, Layla\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/05/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2014/05/27\": {\"lunch\": {\"eid\": \"e2834\", \"logical_representation\": [\"2014/05/27\", \"lunch\", \"a burger\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/27\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2014/05/29\": {\"lunch\": {\"eid\": \"e2835\", \"logical_representation\": [\"2014/05/29\", \"lunch\", \"pasta\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had pasta for lunch with Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/05/29?\", \"Carter, Andrew, Emily\"], [\"what did I eat for lunch on 2014/05/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2836\", \"logical_representation\": [\"2014/05/29\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/29?\", \"6 minutes\"], [\"what did I watch on tv on 2014/05/29?\", \"news\"], [\"Did I watch tv on 2014/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/05/30\": {\"exercise\": {\"eid\": \"e2837\", \"logical_representation\": [\"2014/05/30\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/05/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/05/30?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2838\", \"logical_representation\": [\"2014/05/30\", \"lunch\", \"steak\", \"Emily\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/05/30\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2014/05/31\": {\"watch tv\": {\"eid\": \"e2839\", \"logical_representation\": [\"2014/05/31\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/05/31?\", \"37 minutes\"], [\"what did I watch on tv on 2014/05/31?\", \"a documentary\"], [\"Did I watch tv on 2014/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/01\": {\"exercise\": {\"eid\": \"e2840\", \"logical_representation\": [\"2014/06/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/06/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2841\", \"logical_representation\": [\"2014/06/01\", \"lunch\", \"steak\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2842\", \"logical_representation\": [\"2014/06/01\", \"Kinsley, Layla\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla for 36 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla late in the evening on 2014/06/01?\", \"36 minutes\"], [\"who did I talk to on 2014/06/01?\", \"Kinsley, Layla\"], [\"Did I talk to Kinsley, Layla on 2014/06/01?\", \"yes\"], [\"Did I talk to anyone on 2014/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2843\", \"logical_representation\": [\"2014/06/01\", \"a tv series\", \"31 minutes\"], \"text_template_based\": \"I watched a tv series for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/01?\", \"31 minutes\"], [\"what did I watch on tv on 2014/06/01?\", \"a tv series\"], [\"Did I watch tv on 2014/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/02\": {\"lunch\": {\"eid\": \"e2844\", \"logical_representation\": [\"2014/06/02\", \"lunch\", \"sandwich\", \"Nora\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/02\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2845\", \"logical_representation\": [\"2014/06/02\", \"dinner\", \"fish and chips\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had fish and chips for dinner with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/06/02?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2014/06/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2846\", \"logical_representation\": [\"2014/06/02\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/02?\", \"26 minutes\"], [\"what did I watch on tv on 2014/06/02?\", \"a documentary\"], [\"Did I watch tv on 2014/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/03\": {\"watch tv\": {\"eid\": \"e2847\", \"logical_representation\": [\"2014/06/03\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I watched a movie for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/03?\", \"26 minutes\"], [\"what did I watch on tv on 2014/06/03?\", \"a movie\"], [\"Did I watch tv on 2014/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/04\": {\"exercise\": {\"eid\": \"e2848\", \"logical_representation\": [\"2014/06/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/06/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2014/06/09\": {\"exercise\": {\"eid\": \"e2854\", \"logical_representation\": [\"2014/06/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/06/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2855\", \"logical_representation\": [\"2014/06/09\", \"lunch\", \"sandwich\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2856\", \"logical_representation\": [\"2014/06/09\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/06/09?\", \"24 minutes\"], [\"what did I read on 2014/06/09?\", \"news\"], [\"Did I read on 2014/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/10\": {\"breakfast\": {\"eid\": \"e2857\", \"logical_representation\": [\"2014/06/10\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/06/10\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2014/06/11\": {\"dinner\": {\"eid\": \"e2858\", \"logical_representation\": [\"2014/06/11\", \"dinner\", \"pasta\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had pasta for dinner with Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/06/11?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for dinner on 2014/06/11\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2014/06/12\": {\"dinner\": {\"eid\": \"e2859\", \"logical_representation\": [\"2014/06/12\", \"dinner\", \"sushi\", \"Hazel, Layla, Claire, Avery, Lydia, Nevaeh, Rylee, Piper, Kinsley, Olivia\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/06/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2860\", \"logical_representation\": [\"2014/06/12\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/12?\", \"22 minutes\"], [\"what did I watch on tv on 2014/06/12?\", \"a tv series\"], [\"Did I watch tv on 2014/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/13\": {\"chat0\": {\"eid\": \"e2861\", \"logical_representation\": [\"2014/06/13\", \"Claire\", \"in the morning\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the morning on 2014/06/13?\", \"7 minutes\"], [\"who did I talk to on 2014/06/13?\", \"Claire\"], [\"Did I talk to Claire on 2014/06/13?\", \"yes\"], [\"Did I talk to anyone on 2014/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/14\": {\"exercise\": {\"eid\": \"e2862\", \"logical_representation\": [\"2014/06/14\", \"running\"], \"text_template_based\": \"I did running on 2014/06/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/14?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2014/06/16\": {\"lunch\": {\"eid\": \"e2863\", \"logical_representation\": [\"2014/06/16\", \"lunch\", \"a burger\", \"Emily, Carter\"], \"text_template_based\": \"I had a burger for lunch with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/06/16?\", \"Emily, Carter\"], [\"what did I eat for lunch on 2014/06/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2864\", \"logical_representation\": [\"2014/06/16\", \"a movie\", \"24 minutes\"], \"text_template_based\": \"I watched a movie for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/16?\", \"24 minutes\"], [\"what did I watch on tv on 2014/06/16?\", \"a movie\"], [\"Did I watch tv on 2014/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/17\": {\"social media\": {\"eid\": \"e2865\", \"logical_representation\": [\"2014/06/17\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/06/17?\", \"7 minutes\"], [\"what did I read on 2014/06/17?\", \"social media\"], [\"Did I read on 2014/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/18\": {\"exercise\": {\"eid\": \"e2866\", \"logical_representation\": [\"2014/06/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/06/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2867\", \"logical_representation\": [\"2014/06/18\", \"lunch\", \"fish and chips\", \"Piper, Eva, Nevaeh, Layla, Avery\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/06/20\": {\"breakfast\": {\"eid\": \"e2868\", \"logical_representation\": [\"2014/06/20\", \"breakfast\", \"cereals\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden, Carter. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/06/20?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2014/06/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2869\", \"logical_representation\": [\"2014/06/20\", \"lunch\", \"steak\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/06/20\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2014/06/23\": {\"dinner\": {\"eid\": \"e2871\", \"logical_representation\": [\"2014/06/23\", \"dinner\", \"a burger\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had dinner with Avery, Willow, Benjamin, Jackson. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/06/23?\", \"Avery, Willow, Benjamin, Jackson\"], [\"what did I eat for dinner on 2014/06/23\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2014/06/24\": {\"breakfast\": {\"eid\": \"e2872\", \"logical_representation\": [\"2014/06/24\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/06/24\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2014/06/25\": {\"exercise\": {\"eid\": \"e2873\", \"logical_representation\": [\"2014/06/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2014/06/27\": {\"exercise\": {\"eid\": \"e2876\", \"logical_representation\": [\"2014/06/27\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/06/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/06/27?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2877\", \"logical_representation\": [\"2014/06/27\", \"Piper, Nevaeh\", \"in the late afternoon\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Piper, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh in the late afternoon on 2014/06/27?\", \"16 minutes\"], [\"who did I talk to on 2014/06/27?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2014/06/27?\", \"yes\"], [\"Did I talk to anyone on 2014/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2878\", \"logical_representation\": [\"2014/06/27\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I watched a documentary for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/06/27?\", \"40 minutes\"], [\"what did I watch on tv on 2014/06/27?\", \"a documentary\"], [\"Did I watch tv on 2014/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/06/30\": {\"dinner\": {\"eid\": \"e2881\", \"logical_representation\": [\"2014/06/30\", \"dinner\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/06/30?\", \"Kayden\"], [\"what did I eat for dinner on 2014/06/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2014/07/02\": {\"lunch\": {\"eid\": \"e2883\", \"logical_representation\": [\"2014/07/02\", \"lunch\", \"indian food\", \"Benjamin, Willow\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/07/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2884\", \"logical_representation\": [\"2014/07/02\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/07/02?\", \"30 minutes\"], [\"what did I read on 2014/07/02?\", \"news\"], [\"Did I read on 2014/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/03\": {\"exercise\": {\"eid\": \"e2885\", \"logical_representation\": [\"2014/07/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/07/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2886\", \"logical_representation\": [\"2014/07/03\", \"Rylee, Kinsley, Lydia, Nevaeh\", \"during lunch hours\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Rylee, Kinsley, Lydia, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Lydia, Nevaeh during lunch hours on 2014/07/03?\", \"45 minutes\"], [\"who did I talk to on 2014/07/03?\", \"Rylee, Kinsley, Lydia, Nevaeh\"], [\"Did I talk to Rylee, Kinsley, Lydia, Nevaeh on 2014/07/03?\", \"yes\"], [\"Did I talk to anyone on 2014/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/04\": {\"exercise\": {\"eid\": \"e2887\", \"logical_representation\": [\"2014/07/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/07/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2888\", \"logical_representation\": [\"2014/07/04\", \"breakfast\", \"oatmeal\", \"Emily, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Carter. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/07/04?\", \"Emily, Carter\"], [\"what did I eat for breakfast on 2014/07/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2889\", \"logical_representation\": [\"2014/07/04\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/04?\", \"17 minutes\"], [\"what did I watch on tv on 2014/07/04?\", \"a tv series\"], [\"Did I watch tv on 2014/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/08\": {\"lunch\": {\"eid\": \"e2890\", \"logical_representation\": [\"2014/07/08\", \"lunch\", \"steak\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/07/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2891\", \"logical_representation\": [\"2014/07/08\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/07/08?\", \"42 minutes\"], [\"what did I read on 2014/07/08?\", \"a book\"], [\"Did I read on 2014/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/09\": {\"chat0\": {\"eid\": \"e2892\", \"logical_representation\": [\"2014/07/09\", \"Eva, Layla\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I talked to Eva, Layla for 28 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla in the early evening on 2014/07/09?\", \"28 minutes\"], [\"who did I talk to on 2014/07/09?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2014/07/09?\", \"yes\"], [\"Did I talk to anyone on 2014/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2893\", \"logical_representation\": [\"2014/07/09\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/07/09?\", \"7 minutes\"], [\"what did I read on 2014/07/09?\", \"news\"], [\"Did I read on 2014/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2894\", \"logical_representation\": [\"2014/07/09\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/09?\", \"14 minutes\"], [\"what did I watch on tv on 2014/07/09?\", \"a movie\"], [\"Did I watch tv on 2014/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/12\": {\"breakfast\": {\"eid\": \"e2896\", \"logical_representation\": [\"2014/07/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/07/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2897\", \"logical_representation\": [\"2014/07/12\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/07/12?\", \"9 minutes\"], [\"what did I read on 2014/07/12?\", \"social media\"], [\"Did I read on 2014/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/14\": {\"lunch\": {\"eid\": \"e2898\", \"logical_representation\": [\"2014/07/14\", \"lunch\", \"chinese food\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/07/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2899\", \"logical_representation\": [\"2014/07/14\", \"Layla, Rylee, Kinsley\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Layla, Rylee, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Kinsley in the late afternoon on 2014/07/14?\", \"47 minutes\"], [\"who did I talk to on 2014/07/14?\", \"Layla, Rylee, Kinsley\"], [\"Did I talk to Layla, Rylee, Kinsley on 2014/07/14?\", \"yes\"], [\"Did I talk to anyone on 2014/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/15\": {\"dinner\": {\"eid\": \"e2900\", \"logical_representation\": [\"2014/07/15\", \"dinner\", \"sushi\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/07/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2901\", \"logical_representation\": [\"2014/07/15\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I watched a movie for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/15?\", \"46 minutes\"], [\"what did I watch on tv on 2014/07/15?\", \"a movie\"], [\"Did I watch tv on 2014/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/17\": {\"lunch\": {\"eid\": \"e2902\", \"logical_representation\": [\"2014/07/17\", \"lunch\", \"a burger\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/07/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2903\", \"logical_representation\": [\"2014/07/17\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I watched a documentary for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/07/17?\", \"25 minutes\"], [\"what did I watch on tv on 2014/07/17?\", \"a documentary\"], [\"Did I watch tv on 2014/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/19\": {\"lunch\": {\"eid\": \"e2905\", \"logical_representation\": [\"2014/07/19\", \"lunch\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/07/19\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2014/07/22\": {\"breakfast\": {\"eid\": \"e2906\", \"logical_representation\": [\"2014/07/22\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Olivia, Claire, Rylee, Kinsley, Eva, Layla, Avery, Lydia, Nevaeh, Piper, Hazel, Nora\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Piper, Olivia, Claire, Rylee, Kinsley, Eva, Layla, Avery, Lydia, Nevaeh, Piper, Hazel, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/07/22?\", \"Piper, Olivia, Claire, Rylee, Kinsley, Eva, Layla, Avery, Lydia, Nevaeh, Piper, Hazel, Nora\"], [\"what did I eat for breakfast on 2014/07/22\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2907\", \"logical_representation\": [\"2014/07/22\", \"Nevaeh\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2014/07/22?\", \"20 minutes\"], [\"who did I talk to on 2014/07/22?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2014/07/22?\", \"yes\"], [\"Did I talk to anyone on 2014/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2908\", \"logical_representation\": [\"2014/07/22\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/07/22?\", \"27 minutes\"], [\"what did I read on 2014/07/22?\", \"a book\"], [\"Did I read on 2014/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/23\": {\"breakfast\": {\"eid\": \"e2909\", \"logical_representation\": [\"2014/07/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/07/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2910\", \"logical_representation\": [\"2014/07/23\", \"Hazel, Claire\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I talked to Hazel, Claire for 53 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire late in the evening on 2014/07/23?\", \"53 minutes\"], [\"who did I talk to on 2014/07/23?\", \"Hazel, Claire\"], [\"Did I talk to Hazel, Claire on 2014/07/23?\", \"yes\"], [\"Did I talk to anyone on 2014/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/25\": {\"exercise\": {\"eid\": \"e2913\", \"logical_representation\": [\"2014/07/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/07/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2014/07/29\": {\"chat0\": {\"eid\": \"e2914\", \"logical_representation\": [\"2014/07/29\", \"Kinsley, Avery\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I talked to Kinsley, Avery for 11 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery during lunch hours on 2014/07/29?\", \"11 minutes\"], [\"who did I talk to on 2014/07/29?\", \"Kinsley, Avery\"], [\"Did I talk to Kinsley, Avery on 2014/07/29?\", \"yes\"], [\"Did I talk to anyone on 2014/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/07/30\": {\"dinner\": {\"eid\": \"e2915\", \"logical_representation\": [\"2014/07/30\", \"dinner\", \"fish and chips\", \"Carter, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/07/30?\", \"Carter, Andrew\"], [\"what did I eat for dinner on 2014/07/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/07/31\": {\"exercise\": {\"eid\": \"e2916\", \"logical_representation\": [\"2014/07/31\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/07/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/07/31?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2917\", \"logical_representation\": [\"2014/07/31\", \"Kinsley, Lydia, Avery\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia, Avery for 12 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Avery in the late afternoon on 2014/07/31?\", \"12 minutes\"], [\"who did I talk to on 2014/07/31?\", \"Kinsley, Lydia, Avery\"], [\"Did I talk to Kinsley, Lydia, Avery on 2014/07/31?\", \"yes\"], [\"Did I talk to anyone on 2014/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/02\": {\"breakfast\": {\"eid\": \"e2920\", \"logical_representation\": [\"2014/08/02\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2921\", \"logical_representation\": [\"2014/08/02\", \"lunch\", \"steak\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2922\", \"logical_representation\": [\"2014/08/02\", \"dinner\", \"steak\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/08/02\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2014/08/03\": {\"breakfast\": {\"eid\": \"e2923\", \"logical_representation\": [\"2014/08/03\", \"breakfast\", \"oatmeal\", \"Eva, Claire\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2014/08/04\": {\"chat0\": {\"eid\": \"e2924\", \"logical_representation\": [\"2014/08/04\", \"Nevaeh, Lydia, Hazel\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia, Hazel for 29 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Hazel during lunch hours on 2014/08/04?\", \"29 minutes\"], [\"who did I talk to on 2014/08/04?\", \"Nevaeh, Lydia, Hazel\"], [\"Did I talk to Nevaeh, Lydia, Hazel on 2014/08/04?\", \"yes\"], [\"Did I talk to anyone on 2014/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/06\": {\"chat0\": {\"eid\": \"e2925\", \"logical_representation\": [\"2014/08/06\", \"Lydia, Layla, Piper, Claire\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Lydia, Layla, Piper, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla, Piper, Claire in the early afternoon on 2014/08/06?\", \"45 minutes\"], [\"who did I talk to on 2014/08/06?\", \"Lydia, Layla, Piper, Claire\"], [\"Did I talk to Lydia, Layla, Piper, Claire on 2014/08/06?\", \"yes\"], [\"Did I talk to anyone on 2014/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2926\", \"logical_representation\": [\"2014/08/06\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/06?\", \"11 minutes\"], [\"what did I read on 2014/08/06?\", \"news\"], [\"Did I read on 2014/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2927\", \"logical_representation\": [\"2014/08/06\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I watched a documentary for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/06?\", \"13 minutes\"], [\"what did I watch on tv on 2014/08/06?\", \"a documentary\"], [\"Did I watch tv on 2014/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/08\": {\"read\": {\"eid\": \"e2928\", \"logical_representation\": [\"2014/08/08\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/08/08?\", \"28 minutes\"], [\"what did I read on 2014/08/08?\", \"a book\"], [\"Did I read on 2014/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/09\": {\"read\": {\"eid\": \"e2929\", \"logical_representation\": [\"2014/08/09\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/08/09?\", \"37 minutes\"], [\"what did I read on 2014/08/09?\", \"a book\"], [\"Did I read on 2014/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/12\": {\"breakfast\": {\"eid\": \"e2930\", \"logical_representation\": [\"2014/08/12\", \"breakfast\", \"pancakes\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/14\": {\"dinner\": {\"eid\": \"e2935\", \"logical_representation\": [\"2014/08/14\", \"dinner\", \"fish and chips\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had fish and chips for dinner with Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/08/14?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2014/08/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/08/15\": {\"exercise\": {\"eid\": \"e2936\", \"logical_representation\": [\"2014/08/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/08/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2937\", \"logical_representation\": [\"2014/08/15\", \"lunch\", \"chinese food\", \"Rylee, Nora, Claire, Nevaeh, Hazel, Piper, Lydia, Layla, Avery, Piper, Kinsley\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2014/08/16\": {\"exercise\": {\"eid\": \"e2938\", \"logical_representation\": [\"2014/08/16\", \"biking\"], \"text_template_based\": \"I did biking on 2014/08/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2939\", \"logical_representation\": [\"2014/08/16\", \"lunch\", \"steak\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2940\", \"logical_representation\": [\"2014/08/16\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/08/16?\", \"7 minutes\"], [\"what did I read on 2014/08/16?\", \"social media\"], [\"Did I read on 2014/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2941\", \"logical_representation\": [\"2014/08/16\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/16?\", \"33 minutes\"], [\"what did I watch on tv on 2014/08/16?\", \"a documentary\"], [\"Did I watch tv on 2014/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/17\": {\"watch tv\": {\"eid\": \"e2942\", \"logical_representation\": [\"2014/08/17\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/17?\", \"50 minutes\"], [\"what did I watch on tv on 2014/08/17?\", \"news\"], [\"Did I watch tv on 2014/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/19\": {\"breakfast\": {\"eid\": \"e2943\", \"logical_representation\": [\"2014/08/19\", \"breakfast\", \"toast and cheese\", \"Carter, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2944\", \"logical_representation\": [\"2014/08/19\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/08/19?\", \"43 minutes\"], [\"what did I read on 2014/08/19?\", \"a book\"], [\"Did I read on 2014/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/20\": {\"dinner\": {\"eid\": \"e2945\", \"logical_representation\": [\"2014/08/20\", \"dinner\", \"pasta\", \"Eva, Olivia, Kinsley, Avery, Lydia, Piper, Nora, Rylee, Piper\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/08/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2946\", \"logical_representation\": [\"2014/08/20\", \"Piper, Eva, Kinsley, Nevaeh\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Piper, Eva, Kinsley, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Kinsley, Nevaeh in the late afternoon on 2014/08/20?\", \"30 minutes\"], [\"who did I talk to on 2014/08/20?\", \"Piper, Eva, Kinsley, Nevaeh\"], [\"Did I talk to Piper, Eva, Kinsley, Nevaeh on 2014/08/20?\", \"yes\"], [\"Did I talk to anyone on 2014/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2947\", \"logical_representation\": [\"2014/08/20\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/20?\", \"38 minutes\"], [\"what did I read on 2014/08/20?\", \"news\"], [\"Did I read on 2014/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/21\": {\"breakfast\": {\"eid\": \"e2948\", \"logical_representation\": [\"2014/08/21\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/08/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2014/08/22\": {\"breakfast\": {\"eid\": \"e2949\", \"logical_representation\": [\"2014/08/22\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Nevaeh, Lydia\"], \"text_template_based\": \"I had breakfast with Layla, Nevaeh, Lydia. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/08/22?\", \"Layla, Nevaeh, Lydia\"], [\"what did I eat for breakfast on 2014/08/22\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2950\", \"logical_representation\": [\"2014/08/22\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/08/22?\", \"35 minutes\"], [\"what did I read on 2014/08/22?\", \"a book\"], [\"Did I read on 2014/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2951\", \"logical_representation\": [\"2014/08/22\", \"a movie\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/22?\", \"52 minutes\"], [\"what did I watch on tv on 2014/08/22?\", \"a movie\"], [\"Did I watch tv on 2014/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/23\": {\"dinner\": {\"eid\": \"e2952\", \"logical_representation\": [\"2014/08/23\", \"dinner\", \"sushi\", \"Andrew, Carter\"], \"text_template_based\": \"I had sushi for dinner with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/08/23?\", \"Andrew, Carter\"], [\"what did I eat for dinner on 2014/08/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2953\", \"logical_representation\": [\"2014/08/23\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/23?\", \"24 minutes\"], [\"what did I watch on tv on 2014/08/23?\", \"a tv series\"], [\"Did I watch tv on 2014/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/25\": {\"read\": {\"eid\": \"e2954\", \"logical_representation\": [\"2014/08/25\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/25?\", \"24 minutes\"], [\"what did I read on 2014/08/25?\", \"news\"], [\"Did I read on 2014/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2955\", \"logical_representation\": [\"2014/08/25\", \"a movie\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/08/25?\", \"30 minutes\"], [\"what did I watch on tv on 2014/08/25?\", \"a movie\"], [\"Did I watch tv on 2014/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/28\": {\"exercise\": {\"eid\": \"e2961\", \"logical_representation\": [\"2014/08/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/08/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2962\", \"logical_representation\": [\"2014/08/28\", \"lunch\", \"steak\", \"Piper, Claire, Eva, Lydia, Olivia, Nevaeh, Piper, Nora, Layla, Hazel, Rylee\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/08/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2963\", \"logical_representation\": [\"2014/08/28\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/08/28?\", \"45 minutes\"], [\"what did I read on 2014/08/28?\", \"news\"], [\"Did I read on 2014/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/08/30\": {\"exercise\": {\"eid\": \"e2964\", \"logical_representation\": [\"2014/08/30\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/08/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/08/30?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2965\", \"logical_representation\": [\"2014/08/30\", \"Piper, Eva, Olivia\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Olivia for 44 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Olivia in the morning on 2014/08/30?\", \"44 minutes\"], [\"who did I talk to on 2014/08/30?\", \"Piper, Eva, Olivia\"], [\"Did I talk to Piper, Eva, Olivia on 2014/08/30?\", \"yes\"], [\"Did I talk to anyone on 2014/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/01\": {\"read\": {\"eid\": \"e2969\", \"logical_representation\": [\"2014/09/01\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/09/01?\", \"51 minutes\"], [\"what did I read on 2014/09/01?\", \"a book\"], [\"Did I read on 2014/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2970\", \"logical_representation\": [\"2014/09/01\", \"news\", \"48 minutes\"], \"text_template_based\": \"I watched news for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/01?\", \"48 minutes\"], [\"what did I watch on tv on 2014/09/01?\", \"news\"], [\"Did I watch tv on 2014/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/02\": {\"exercise\": {\"eid\": \"e2971\", \"logical_representation\": [\"2014/09/02\", \"biking\"], \"text_template_based\": \"I did biking on 2014/09/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/02?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2014/09/03\": {\"lunch\": {\"eid\": \"e2972\", \"logical_representation\": [\"2014/09/03\", \"lunch\", \"steak\", \"Avery, Olivia, Layla, Rylee, Lydia, Nevaeh, Hazel, Piper, Piper, Claire, Eva, Nora, Kinsley\"], \"text_template_based\": \"I had lunch with Avery, Olivia, Layla, Rylee, Lydia, Nevaeh, Hazel, Piper, Piper, Claire, Eva, Nora, Kinsley. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/09/03?\", \"Avery, Olivia, Layla, Rylee, Lydia, Nevaeh, Hazel, Piper, Piper, Claire, Eva, Nora, Kinsley\"], [\"what did I eat for lunch on 2014/09/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2973\", \"logical_representation\": [\"2014/09/03\", \"a tv series\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/03?\", \"45 minutes\"], [\"what did I watch on tv on 2014/09/03?\", \"a tv series\"], [\"Did I watch tv on 2014/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/05\": {\"dinner\": {\"eid\": \"e2974\", \"logical_representation\": [\"2014/09/05\", \"dinner\", \"tacos\", \"Piper, Nora\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/09/05\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2014/09/07\": {\"chat0\": {\"eid\": \"e2976\", \"logical_representation\": [\"2014/09/07\", \"Lydia, Piper\", \"late in the evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper for 19 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper late in the evening on 2014/09/07?\", \"19 minutes\"], [\"who did I talk to on 2014/09/07?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2014/09/07?\", \"yes\"], [\"Did I talk to anyone on 2014/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/08\": {\"exercise\": {\"eid\": \"e2977\", \"logical_representation\": [\"2014/09/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/09/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e2978\", \"logical_representation\": [\"2014/09/08\", \"lunch\", \"chinese food\", \"Willow, Avery, Benjamin\"], \"text_template_based\": \"I had chinese food for lunch with Willow, Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/09/08?\", \"Willow, Avery, Benjamin\"], [\"what did I eat for lunch on 2014/09/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2979\", \"logical_representation\": [\"2014/09/08\", \"Layla, Kinsley, Avery, Piper\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Layla, Kinsley, Avery, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Avery, Piper in the morning on 2014/09/08?\", \"13 minutes\"], [\"who did I talk to on 2014/09/08?\", \"Layla, Kinsley, Avery, Piper\"], [\"Did I talk to Layla, Kinsley, Avery, Piper on 2014/09/08?\", \"yes\"], [\"Did I talk to anyone on 2014/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e2980\", \"logical_representation\": [\"2014/09/08\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/09/08?\", \"18 minutes\"], [\"what did I read on 2014/09/08?\", \"social media\"], [\"Did I read on 2014/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/09\": {\"dinner\": {\"eid\": \"e2981\", \"logical_representation\": [\"2014/09/09\", \"dinner\", \"steak\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/09/09\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2014/09/10\": {\"dinner\": {\"eid\": \"e2982\", \"logical_representation\": [\"2014/09/10\", \"dinner\", \"sandwich\", \"Avery, Benjamin\"], \"text_template_based\": \"I had dinner with Avery, Benjamin. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/09/10?\", \"Avery, Benjamin\"], [\"what did I eat for dinner on 2014/09/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2983\", \"logical_representation\": [\"2014/09/10\", \"Layla, Avery, Eva, Lydia\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Layla, Avery, Eva, Lydia for 40 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Eva, Lydia in the early afternoon on 2014/09/10?\", \"40 minutes\"], [\"who did I talk to on 2014/09/10?\", \"Layla, Avery, Eva, Lydia\"], [\"Did I talk to Layla, Avery, Eva, Lydia on 2014/09/10?\", \"yes\"], [\"Did I talk to anyone on 2014/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/11\": {\"exercise\": {\"eid\": \"e2984\", \"logical_representation\": [\"2014/09/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/09/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e2985\", \"logical_representation\": [\"2014/09/11\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/09/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2014/09/13\": {\"breakfast\": {\"eid\": \"e2986\", \"logical_representation\": [\"2014/09/13\", \"breakfast\", \"oatmeal\", \"Layla, Piper, Lydia, Nevaeh\"], \"text_template_based\": \"I had oatmeal for breakfast with Layla, Piper, Lydia, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/09/13?\", \"Layla, Piper, Lydia, Nevaeh\"], [\"what did I eat for breakfast on 2014/09/13\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e2987\", \"logical_representation\": [\"2014/09/13\", \"dinner\", \"tacos\", \"Piper, Piper, Eva, Lydia, Olivia, Claire, Layla, Kinsley\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/09/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2988\", \"logical_representation\": [\"2014/09/13\", \"a tv series\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/13?\", \"45 minutes\"], [\"what did I watch on tv on 2014/09/13?\", \"a tv series\"], [\"Did I watch tv on 2014/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/14\": {\"exercise\": {\"eid\": \"e2989\", \"logical_representation\": [\"2014/09/14\", \"running\"], \"text_template_based\": \"I did running on 2014/09/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2990\", \"logical_representation\": [\"2014/09/14\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/14?\", \"7 minutes\"], [\"what did I watch on tv on 2014/09/14?\", \"a documentary\"], [\"Did I watch tv on 2014/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/15\": {\"lunch\": {\"eid\": \"e2991\", \"logical_representation\": [\"2014/09/15\", \"lunch\", \"steak\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/09/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2992\", \"logical_representation\": [\"2014/09/15\", \"Kinsley, Eva, Olivia\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva, Olivia for 26 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva, Olivia in the late afternoon on 2014/09/15?\", \"26 minutes\"], [\"who did I talk to on 2014/09/15?\", \"Kinsley, Eva, Olivia\"], [\"Did I talk to Kinsley, Eva, Olivia on 2014/09/15?\", \"yes\"], [\"Did I talk to anyone on 2014/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e2993\", \"logical_representation\": [\"2014/09/15\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/09/15?\", \"25 minutes\"], [\"what did I read on 2014/09/15?\", \"news\"], [\"Did I read on 2014/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2994\", \"logical_representation\": [\"2014/09/15\", \"a documentary\", \"5 minutes\"], \"text_template_based\": \"I watched a documentary for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/15?\", \"5 minutes\"], [\"what did I watch on tv on 2014/09/15?\", \"a documentary\"], [\"Did I watch tv on 2014/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/16\": {\"exercise\": {\"eid\": \"e2995\", \"logical_representation\": [\"2014/09/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e2996\", \"logical_representation\": [\"2014/09/16\", \"Hazel, Claire, Rylee\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Hazel, Claire, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Rylee late in the evening on 2014/09/16?\", \"12 minutes\"], [\"who did I talk to on 2014/09/16?\", \"Hazel, Claire, Rylee\"], [\"Did I talk to Hazel, Claire, Rylee on 2014/09/16?\", \"yes\"], [\"Did I talk to anyone on 2014/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/17\": {\"watch tv\": {\"eid\": \"e2997\", \"logical_representation\": [\"2014/09/17\", \"a movie\", \"55 minutes\"], \"text_template_based\": \"I watched a movie for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/17?\", \"55 minutes\"], [\"what did I watch on tv on 2014/09/17?\", \"a movie\"], [\"Did I watch tv on 2014/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/19\": {\"exercise\": {\"eid\": \"e2998\", \"logical_representation\": [\"2014/09/19\", \"running\"], \"text_template_based\": \"I did running on 2014/09/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e2999\", \"logical_representation\": [\"2014/09/19\", \"news\", \"5 minutes\"], \"text_template_based\": \"I watched news for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/19?\", \"5 minutes\"], [\"what did I watch on tv on 2014/09/19?\", \"news\"], [\"Did I watch tv on 2014/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/21\": {\"read\": {\"eid\": \"e3003\", \"logical_representation\": [\"2014/09/21\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/09/21?\", \"30 minutes\"], [\"what did I read on 2014/09/21?\", \"news\"], [\"Did I read on 2014/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/22\": {\"dinner\": {\"eid\": \"e3004\", \"logical_representation\": [\"2014/09/22\", \"dinner\", \"indian food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had indian food for dinner with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/09/22?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2014/09/22\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2014/09/23\": {\"exercise\": {\"eid\": \"e3005\", \"logical_representation\": [\"2014/09/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/09/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/09/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3006\", \"logical_representation\": [\"2014/09/23\", \"lunch\", \"indian food\", \"Andrew, Carter\"], \"text_template_based\": \"I had indian food for lunch with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/09/23?\", \"Andrew, Carter\"], [\"what did I eat for lunch on 2014/09/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3007\", \"logical_representation\": [\"2014/09/23\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I watched a tv series for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/23?\", \"21 minutes\"], [\"what did I watch on tv on 2014/09/23?\", \"a tv series\"], [\"Did I watch tv on 2014/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/25\": {\"watch tv\": {\"eid\": \"e3010\", \"logical_representation\": [\"2014/09/25\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/25?\", \"48 minutes\"], [\"what did I watch on tv on 2014/09/25?\", \"a movie\"], [\"Did I watch tv on 2014/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/26\": {\"dinner\": {\"eid\": \"e3011\", \"logical_representation\": [\"2014/09/26\", \"dinner\", \"fish and chips\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/09/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/09/27\": {\"read\": {\"eid\": \"e3012\", \"logical_representation\": [\"2014/09/27\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/09/27?\", \"44 minutes\"], [\"what did I read on 2014/09/27?\", \"news\"], [\"Did I read on 2014/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3013\", \"logical_representation\": [\"2014/09/27\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/27?\", \"52 minutes\"], [\"what did I watch on tv on 2014/09/27?\", \"a documentary\"], [\"Did I watch tv on 2014/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/28\": {\"chat0\": {\"eid\": \"e3014\", \"logical_representation\": [\"2014/09/28\", \"Eva, Rylee, Nora\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Eva, Rylee, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Nora in the early evening on 2014/09/28?\", \"9 minutes\"], [\"who did I talk to on 2014/09/28?\", \"Eva, Rylee, Nora\"], [\"Did I talk to Eva, Rylee, Nora on 2014/09/28?\", \"yes\"], [\"Did I talk to anyone on 2014/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/09/29\": {\"dinner\": {\"eid\": \"e3015\", \"logical_representation\": [\"2014/09/29\", \"dinner\", \"tacos\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/09/29\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2014/09/30\": {\"watch tv\": {\"eid\": \"e3016\", \"logical_representation\": [\"2014/09/30\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/09/30?\", \"28 minutes\"], [\"what did I watch on tv on 2014/09/30?\", \"a movie\"], [\"Did I watch tv on 2014/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/01\": {\"social media\": {\"eid\": \"e3017\", \"logical_representation\": [\"2014/10/01\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/10/01?\", \"17 minutes\"], [\"what did I read on 2014/10/01?\", \"social media\"], [\"Did I read on 2014/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/02\": {\"breakfast\": {\"eid\": \"e3018\", \"logical_representation\": [\"2014/10/02\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Claire, Olivia, Lydia, Nora, Avery, Piper, Layla, Hazel\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/10/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2014/10/04\": {\"exercise\": {\"eid\": \"e3019\", \"logical_representation\": [\"2014/10/04\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/10/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/04?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2014/10/05\": {\"exercise\": {\"eid\": \"e3020\", \"logical_representation\": [\"2014/10/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/10/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3021\", \"logical_representation\": [\"2014/10/05\", \"dinner\", \"tacos\", \"Layla\"], \"text_template_based\": \"I had dinner with Layla. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/10/05?\", \"Layla\"], [\"what did I eat for dinner on 2014/10/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3022\", \"logical_representation\": [\"2014/10/05\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I watched a tv series for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/05?\", \"40 minutes\"], [\"what did I watch on tv on 2014/10/05?\", \"a tv series\"], [\"Did I watch tv on 2014/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/06\": {\"lunch\": {\"eid\": \"e3023\", \"logical_representation\": [\"2014/10/06\", \"lunch\", \"sandwich\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/10/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3024\", \"logical_representation\": [\"2014/10/06\", \"Kinsley, Nora\", \"in the morning\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Kinsley, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora in the morning on 2014/10/06?\", \"34 minutes\"], [\"who did I talk to on 2014/10/06?\", \"Kinsley, Nora\"], [\"Did I talk to Kinsley, Nora on 2014/10/06?\", \"yes\"], [\"Did I talk to anyone on 2014/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/07\": {\"dinner\": {\"eid\": \"e3025\", \"logical_representation\": [\"2014/10/07\", \"dinner\", \"pasta\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/07\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2014/10/09\": {\"breakfast\": {\"eid\": \"e3026\", \"logical_representation\": [\"2014/10/09\", \"breakfast\", \"cereals\", \"Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/10/09\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2014/10/11\": {\"exercise\": {\"eid\": \"e3027\", \"logical_representation\": [\"2014/10/11\", \"biking\"], \"text_template_based\": \"I did biking on 2014/10/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/11?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2014/10/13\": {\"lunch\": {\"eid\": \"e3028\", \"logical_representation\": [\"2014/10/13\", \"lunch\", \"pasta\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had pasta for lunch with Avery, Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/10/13?\", \"Avery, Benjamin, Jackson\"], [\"what did I eat for lunch on 2014/10/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3029\", \"logical_representation\": [\"2014/10/13\", \"Eva, Layla\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Eva, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla in the early evening on 2014/10/13?\", \"11 minutes\"], [\"who did I talk to on 2014/10/13?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2014/10/13?\", \"yes\"], [\"Did I talk to anyone on 2014/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/14\": {\"dinner\": {\"eid\": \"e3030\", \"logical_representation\": [\"2014/10/14\", \"dinner\", \"pasta\", \"Avery\"], \"text_template_based\": \"I had dinner with Avery. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/10/14?\", \"Avery\"], [\"what did I eat for dinner on 2014/10/14\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2014/10/15\": {\"chat0\": {\"eid\": \"e3031\", \"logical_representation\": [\"2014/10/15\", \"Rylee\", \"during lunch hours\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2014/10/15?\", \"52 minutes\"], [\"who did I talk to on 2014/10/15?\", \"Rylee\"], [\"Did I talk to Rylee on 2014/10/15?\", \"yes\"], [\"Did I talk to anyone on 2014/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/17\": {\"dinner\": {\"eid\": \"e3032\", \"logical_representation\": [\"2014/10/17\", \"dinner\", \"tacos\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/10/17?\", \"Carter\"], [\"what did I eat for dinner on 2014/10/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3033\", \"logical_representation\": [\"2014/10/17\", \"Nevaeh, Hazel, Nora\", \"during lunch hours\", \"5 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Hazel, Nora for 5 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Nora during lunch hours on 2014/10/17?\", \"5 minutes\"], [\"who did I talk to on 2014/10/17?\", \"Nevaeh, Hazel, Nora\"], [\"Did I talk to Nevaeh, Hazel, Nora on 2014/10/17?\", \"yes\"], [\"Did I talk to anyone on 2014/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/21\": {\"exercise\": {\"eid\": \"e3034\", \"logical_representation\": [\"2014/10/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/10/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2014/10/22\": {\"chat0\": {\"eid\": \"e3035\", \"logical_representation\": [\"2014/10/22\", \"Nora\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Nora for 21 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2014/10/22?\", \"21 minutes\"], [\"who did I talk to on 2014/10/22?\", \"Nora\"], [\"Did I talk to Nora on 2014/10/22?\", \"yes\"], [\"Did I talk to anyone on 2014/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3036\", \"logical_representation\": [\"2014/10/22\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/10/22?\", \"55 minutes\"], [\"what did I read on 2014/10/22?\", \"news\"], [\"Did I read on 2014/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/23\": {\"read\": {\"eid\": \"e3037\", \"logical_representation\": [\"2014/10/23\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/10/23?\", \"50 minutes\"], [\"what did I read on 2014/10/23?\", \"news\"], [\"Did I read on 2014/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/24\": {\"chat0\": {\"eid\": \"e3038\", \"logical_representation\": [\"2014/10/24\", \"Piper, Olivia\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia for 53 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the early afternoon on 2014/10/24?\", \"53 minutes\"], [\"who did I talk to on 2014/10/24?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2014/10/24?\", \"yes\"], [\"Did I talk to anyone on 2014/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3039\", \"logical_representation\": [\"2014/10/24\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/10/24?\", \"12 minutes\"], [\"what did I read on 2014/10/24?\", \"a book\"], [\"Did I read on 2014/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3040\", \"logical_representation\": [\"2014/10/24\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/10/24?\", \"13 minutes\"], [\"what did I watch on tv on 2014/10/24?\", \"a documentary\"], [\"Did I watch tv on 2014/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/25\": {\"exercise\": {\"eid\": \"e3041\", \"logical_representation\": [\"2014/10/25\", \"running\"], \"text_template_based\": \"I did running on 2014/10/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3042\", \"logical_representation\": [\"2014/10/25\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/10/25?\", \"33 minutes\"], [\"what did I read on 2014/10/25?\", \"social media\"], [\"Did I read on 2014/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/26\": {\"chat0\": {\"eid\": \"e3043\", \"logical_representation\": [\"2014/10/26\", \"Rylee\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Rylee for 38 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2014/10/26?\", \"38 minutes\"], [\"who did I talk to on 2014/10/26?\", \"Rylee\"], [\"Did I talk to Rylee on 2014/10/26?\", \"yes\"], [\"Did I talk to anyone on 2014/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/27\": {\"exercise\": {\"eid\": \"e3044\", \"logical_representation\": [\"2014/10/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/10/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3045\", \"logical_representation\": [\"2014/10/27\", \"dinner\", \"sandwich\", \"Jackson, Avery\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3046\", \"logical_representation\": [\"2014/10/27\", \"Lydia, Olivia, Piper, Nora\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Lydia, Olivia, Piper, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Piper, Nora in the morning on 2014/10/27?\", \"33 minutes\"], [\"who did I talk to on 2014/10/27?\", \"Lydia, Olivia, Piper, Nora\"], [\"Did I talk to Lydia, Olivia, Piper, Nora on 2014/10/27?\", \"yes\"], [\"Did I talk to anyone on 2014/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3047\", \"logical_representation\": [\"2014/10/27\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/10/27?\", \"50 minutes\"], [\"what did I read on 2014/10/27?\", \"news\"], [\"Did I read on 2014/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/28\": {\"breakfast\": {\"eid\": \"e3048\", \"logical_representation\": [\"2014/10/28\", \"breakfast\", \"oatmeal\", \"Carter, Kayden\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/10/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3049\", \"logical_representation\": [\"2014/10/28\", \"dinner\", \"steak\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3050\", \"logical_representation\": [\"2014/10/28\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/10/28?\", \"5 minutes\"], [\"what did I read on 2014/10/28?\", \"news\"], [\"Did I read on 2014/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/29\": {\"dinner\": {\"eid\": \"e3051\", \"logical_representation\": [\"2014/10/29\", \"dinner\", \"fish and chips\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/10/30\": {\"exercise\": {\"eid\": \"e3052\", \"logical_representation\": [\"2014/10/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/10/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/10/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3053\", \"logical_representation\": [\"2014/10/30\", \"Olivia, Rylee, Hazel\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Olivia, Rylee, Hazel for 19 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee, Hazel in the late afternoon on 2014/10/30?\", \"19 minutes\"], [\"who did I talk to on 2014/10/30?\", \"Olivia, Rylee, Hazel\"], [\"Did I talk to Olivia, Rylee, Hazel on 2014/10/30?\", \"yes\"], [\"Did I talk to anyone on 2014/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/10/31\": {\"dinner\": {\"eid\": \"e3054\", \"logical_representation\": [\"2014/10/31\", \"dinner\", \"fish and chips\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/10/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/11/01\": {\"breakfast\": {\"eid\": \"e3055\", \"logical_representation\": [\"2014/11/01\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2014/11/03\": {\"chat0\": {\"eid\": \"e3058\", \"logical_representation\": [\"2014/11/03\", \"Layla, Nevaeh\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Layla, Nevaeh for 26 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nevaeh in the early afternoon on 2014/11/03?\", \"26 minutes\"], [\"who did I talk to on 2014/11/03?\", \"Layla, Nevaeh\"], [\"Did I talk to Layla, Nevaeh on 2014/11/03?\", \"yes\"], [\"Did I talk to anyone on 2014/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/05\": {\"exercise\": {\"eid\": \"e3060\", \"logical_representation\": [\"2014/11/05\", \"biking\"], \"text_template_based\": \"I did biking on 2014/11/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/05?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2014/11/06\": {\"exercise\": {\"eid\": \"e3061\", \"logical_representation\": [\"2014/11/06\", \"running\"], \"text_template_based\": \"I did running on 2014/11/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/06?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3062\", \"logical_representation\": [\"2014/11/06\", \"lunch\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/11/07\": {\"breakfast\": {\"eid\": \"e3063\", \"logical_representation\": [\"2014/11/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3064\", \"logical_representation\": [\"2014/11/07\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/11/07?\", \"38 minutes\"], [\"what did I read on 2014/11/07?\", \"social media\"], [\"Did I read on 2014/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/08\": {\"exercise\": {\"eid\": \"e3065\", \"logical_representation\": [\"2014/11/08\", \"biking\"], \"text_template_based\": \"I did biking on 2014/11/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/08?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3066\", \"logical_representation\": [\"2014/11/08\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/08?\", \"31 minutes\"], [\"what did I watch on tv on 2014/11/08?\", \"news\"], [\"Did I watch tv on 2014/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/09\": {\"social media\": {\"eid\": \"e3067\", \"logical_representation\": [\"2014/11/09\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/11/09?\", \"31 minutes\"], [\"what did I read on 2014/11/09?\", \"social media\"], [\"Did I read on 2014/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/10\": {\"chat0\": {\"eid\": \"e3068\", \"logical_representation\": [\"2014/11/10\", \"Piper, Layla, Rylee, Piper\", \"during lunch hours\", \"40 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Rylee, Piper for 40 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Rylee, Piper during lunch hours on 2014/11/10?\", \"40 minutes\"], [\"who did I talk to on 2014/11/10?\", \"Piper, Layla, Rylee, Piper\"], [\"Did I talk to Piper, Layla, Rylee, Piper on 2014/11/10?\", \"yes\"], [\"Did I talk to anyone on 2014/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/11\": {\"watch tv\": {\"eid\": \"e3069\", \"logical_representation\": [\"2014/11/11\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I watched a documentary for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/11?\", \"50 minutes\"], [\"what did I watch on tv on 2014/11/11?\", \"a documentary\"], [\"Did I watch tv on 2014/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/12\": {\"lunch\": {\"eid\": \"e3070\", \"logical_representation\": [\"2014/11/12\", \"lunch\", \"indian food\", \"Carter, Emily\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3071\", \"logical_representation\": [\"2014/11/12\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/11/12?\", \"12 minutes\"], [\"what did I read on 2014/11/12?\", \"a book\"], [\"Did I read on 2014/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/15\": {\"breakfast\": {\"eid\": \"e3074\", \"logical_representation\": [\"2014/11/15\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3075\", \"logical_representation\": [\"2014/11/15\", \"lunch\", \"chinese food\", \"Jackson, Willow\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3076\", \"logical_representation\": [\"2014/11/15\", \"Kinsley\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I talked to Kinsley for 43 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2014/11/15?\", \"43 minutes\"], [\"who did I talk to on 2014/11/15?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2014/11/15?\", \"yes\"], [\"Did I talk to anyone on 2014/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/16\": {\"exercise\": {\"eid\": \"e3077\", \"logical_representation\": [\"2014/11/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/11/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3078\", \"logical_representation\": [\"2014/11/16\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/11/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3079\", \"logical_representation\": [\"2014/11/16\", \"news\", \"31 minutes\"], \"text_template_based\": \"I watched news for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/16?\", \"31 minutes\"], [\"what did I watch on tv on 2014/11/16?\", \"news\"], [\"Did I watch tv on 2014/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/17\": {\"chat0\": {\"eid\": \"e3080\", \"logical_representation\": [\"2014/11/17\", \"Nora, Rylee\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Nora, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee in the late afternoon on 2014/11/17?\", \"7 minutes\"], [\"who did I talk to on 2014/11/17?\", \"Nora, Rylee\"], [\"Did I talk to Nora, Rylee on 2014/11/17?\", \"yes\"], [\"Did I talk to anyone on 2014/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3081\", \"logical_representation\": [\"2014/11/17\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/17?\", \"13 minutes\"], [\"what did I watch on tv on 2014/11/17?\", \"news\"], [\"Did I watch tv on 2014/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/19\": {\"breakfast\": {\"eid\": \"e3082\", \"logical_representation\": [\"2014/11/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Kinsley, Lydia, Layla, Rylee, Claire, Nora, Nevaeh, Hazel, Eva, Olivia, Avery\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3083\", \"logical_representation\": [\"2014/11/19\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/19\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2014/11/20\": {\"chat0\": {\"eid\": \"e3084\", \"logical_representation\": [\"2014/11/20\", \"Piper\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I talked to Piper for 39 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2014/11/20?\", \"39 minutes\"], [\"who did I talk to on 2014/11/20?\", \"Piper\"], [\"Did I talk to Piper on 2014/11/20?\", \"yes\"], [\"Did I talk to anyone on 2014/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3085\", \"logical_representation\": [\"2014/11/20\", \"a movie\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/20?\", \"8 minutes\"], [\"what did I watch on tv on 2014/11/20?\", \"a movie\"], [\"Did I watch tv on 2014/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/21\": {\"exercise\": {\"eid\": \"e3086\", \"logical_representation\": [\"2014/11/21\", \"biking\"], \"text_template_based\": \"I did biking on 2014/11/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/21?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2014/11/22\": {\"breakfast\": {\"eid\": \"e3087\", \"logical_representation\": [\"2014/11/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Kinsley\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2014/11/23\": {\"social media\": {\"eid\": \"e3088\", \"logical_representation\": [\"2014/11/23\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/11/23?\", \"28 minutes\"], [\"what did I read on 2014/11/23?\", \"social media\"], [\"Did I read on 2014/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3089\", \"logical_representation\": [\"2014/11/23\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I watched a tv series for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/23?\", \"43 minutes\"], [\"what did I watch on tv on 2014/11/23?\", \"a tv series\"], [\"Did I watch tv on 2014/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/24\": {\"chat0\": {\"eid\": \"e3090\", \"logical_representation\": [\"2014/11/24\", \"Claire\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2014/11/24?\", \"11 minutes\"], [\"who did I talk to on 2014/11/24?\", \"Claire\"], [\"Did I talk to Claire on 2014/11/24?\", \"yes\"], [\"Did I talk to anyone on 2014/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3091\", \"logical_representation\": [\"2014/11/24\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2014/11/24?\", \"40 minutes\"], [\"what did I read on 2014/11/24?\", \"social media\"], [\"Did I read on 2014/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/25\": {\"exercise\": {\"eid\": \"e3092\", \"logical_representation\": [\"2014/11/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/11/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3093\", \"logical_representation\": [\"2014/11/25\", \"Kinsley, Lydia, Avery, Piper\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Kinsley, Lydia, Avery, Piper for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Avery, Piper in the early afternoon on 2014/11/25?\", \"7 minutes\"], [\"who did I talk to on 2014/11/25?\", \"Kinsley, Lydia, Avery, Piper\"], [\"Did I talk to Kinsley, Lydia, Avery, Piper on 2014/11/25?\", \"yes\"], [\"Did I talk to anyone on 2014/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3094\", \"logical_representation\": [\"2014/11/25\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/11/25?\", \"48 minutes\"], [\"what did I read on 2014/11/25?\", \"a book\"], [\"Did I read on 2014/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/26\": {\"exercise\": {\"eid\": \"e3095\", \"logical_representation\": [\"2014/11/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2014/11/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/11/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3096\", \"logical_representation\": [\"2014/11/26\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/11/26?\", \"36 minutes\"], [\"what did I read on 2014/11/26?\", \"a book\"], [\"Did I read on 2014/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/27\": {\"breakfast\": {\"eid\": \"e3097\", \"logical_representation\": [\"2014/11/27\", \"breakfast\", \"eggs, sausages, and bread\", \"Kinsley\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/11/27\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3098\", \"logical_representation\": [\"2014/11/27\", \"dinner\", \"pasta\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/27\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2014/11/28\": {\"dinner\": {\"eid\": \"e3099\", \"logical_representation\": [\"2014/11/28\", \"dinner\", \"pasta\", \"Nevaeh, Olivia, Piper, Lydia, Rylee, Avery\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/11/28\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3100\", \"logical_representation\": [\"2014/11/28\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/11/28?\", \"8 minutes\"], [\"what did I read on 2014/11/28?\", \"news\"], [\"Did I read on 2014/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/29\": {\"chat0\": {\"eid\": \"e3101\", \"logical_representation\": [\"2014/11/29\", \"Claire, Hazel, Lydia, Eva\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Claire, Hazel, Lydia, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Lydia, Eva during lunch hours on 2014/11/29?\", \"26 minutes\"], [\"who did I talk to on 2014/11/29?\", \"Claire, Hazel, Lydia, Eva\"], [\"Did I talk to Claire, Hazel, Lydia, Eva on 2014/11/29?\", \"yes\"], [\"Did I talk to anyone on 2014/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3102\", \"logical_representation\": [\"2014/11/29\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/29?\", \"48 minutes\"], [\"what did I watch on tv on 2014/11/29?\", \"a tv series\"], [\"Did I watch tv on 2014/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/11/30\": {\"watch tv\": {\"eid\": \"e3103\", \"logical_representation\": [\"2014/11/30\", \"news\", \"55 minutes\"], \"text_template_based\": \"I watched news for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/11/30?\", \"55 minutes\"], [\"what did I watch on tv on 2014/11/30?\", \"news\"], [\"Did I watch tv on 2014/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/02\": {\"read\": {\"eid\": \"e3105\", \"logical_representation\": [\"2014/12/02\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/12/02?\", \"11 minutes\"], [\"what did I read on 2014/12/02?\", \"news\"], [\"Did I read on 2014/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/05\": {\"chat0\": {\"eid\": \"e3106\", \"logical_representation\": [\"2014/12/05\", \"Layla, Claire, Eva, Lydia\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Layla, Claire, Eva, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire, Eva, Lydia in the early afternoon on 2014/12/05?\", \"34 minutes\"], [\"who did I talk to on 2014/12/05?\", \"Layla, Claire, Eva, Lydia\"], [\"Did I talk to Layla, Claire, Eva, Lydia on 2014/12/05?\", \"yes\"], [\"Did I talk to anyone on 2014/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3107\", \"logical_representation\": [\"2014/12/05\", \"news\", \"37 minutes\"], \"text_template_based\": \"I watched news for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/05?\", \"37 minutes\"], [\"what did I watch on tv on 2014/12/05?\", \"news\"], [\"Did I watch tv on 2014/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/06\": {\"chat0\": {\"eid\": \"e3108\", \"logical_representation\": [\"2014/12/06\", \"Avery, Rylee\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Avery, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee late in the evening on 2014/12/06?\", \"36 minutes\"], [\"who did I talk to on 2014/12/06?\", \"Avery, Rylee\"], [\"Did I talk to Avery, Rylee on 2014/12/06?\", \"yes\"], [\"Did I talk to anyone on 2014/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/07\": {\"dinner\": {\"eid\": \"e3109\", \"logical_representation\": [\"2014/12/07\", \"dinner\", \"steak\", \"Avery, Eva, Rylee, Lydia, Nevaeh, Claire\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/12/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3110\", \"logical_representation\": [\"2014/12/07\", \"Lydia\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I talked to Lydia for 6 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2014/12/07?\", \"6 minutes\"], [\"who did I talk to on 2014/12/07?\", \"Lydia\"], [\"Did I talk to Lydia on 2014/12/07?\", \"yes\"], [\"Did I talk to anyone on 2014/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3111\", \"logical_representation\": [\"2014/12/07\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I watched a documentary for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2014/12/07?\", \"9 minutes\"], [\"what did I watch on tv on 2014/12/07?\", \"a documentary\"], [\"Did I watch tv on 2014/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/11\": {\"dinner\": {\"eid\": \"e3116\", \"logical_representation\": [\"2014/12/11\", \"dinner\", \"chinese food\", \"Claire, Piper, Layla, Nevaeh, Hazel, Rylee, Kinsley, Avery\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/12/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2014/12/12\": {\"breakfast\": {\"eid\": \"e3117\", \"logical_representation\": [\"2014/12/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3118\", \"logical_representation\": [\"2014/12/12\", \"Rylee, Olivia, Piper, Nora\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Rylee, Olivia, Piper, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia, Piper, Nora in the late afternoon on 2014/12/12?\", \"52 minutes\"], [\"who did I talk to on 2014/12/12?\", \"Rylee, Olivia, Piper, Nora\"], [\"Did I talk to Rylee, Olivia, Piper, Nora on 2014/12/12?\", \"yes\"], [\"Did I talk to anyone on 2014/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/13\": {\"lunch\": {\"eid\": \"e3119\", \"logical_representation\": [\"2014/12/13\", \"lunch\", \"tacos\", \"Jackson, Willow\"], \"text_template_based\": \"I had lunch with Jackson, Willow. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/12/13?\", \"Jackson, Willow\"], [\"what did I eat for lunch on 2014/12/13\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2014/12/14\": {\"exercise\": {\"eid\": \"e3120\", \"logical_representation\": [\"2014/12/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2014/12/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3121\", \"logical_representation\": [\"2014/12/14\", \"Nevaeh, Eva\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva for 49 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva in the early afternoon on 2014/12/14?\", \"49 minutes\"], [\"who did I talk to on 2014/12/14?\", \"Nevaeh, Eva\"], [\"Did I talk to Nevaeh, Eva on 2014/12/14?\", \"yes\"], [\"Did I talk to anyone on 2014/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/15\": {\"breakfast\": {\"eid\": \"e3122\", \"logical_representation\": [\"2014/12/15\", \"breakfast\", \"cereals\", \"Nora, Eva, Layla, Piper, Rylee\"], \"text_template_based\": \"I had breakfast with Nora, Eva, Layla, Piper, Rylee. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/12/15?\", \"Nora, Eva, Layla, Piper, Rylee\"], [\"what did I eat for breakfast on 2014/12/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3123\", \"logical_representation\": [\"2014/12/15\", \"dinner\", \"a burger\", \"Piper, Claire, Nora, Rylee, Layla, Avery\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/12/15\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2014/12/17\": {\"lunch\": {\"eid\": \"e3127\", \"logical_representation\": [\"2014/12/17\", \"lunch\", \"indian food\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/12/17\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2014/12/18\": {\"exercise\": {\"eid\": \"e3128\", \"logical_representation\": [\"2014/12/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2014/12/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3129\", \"logical_representation\": [\"2014/12/18\", \"breakfast\", \"cereals\", \"Piper, Olivia, Nora, Lydia, Avery, Rylee, Eva, Claire, Nevaeh, Kinsley, Piper\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2014/12/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3130\", \"logical_representation\": [\"2014/12/18\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2014/12/18?\", \"26 minutes\"], [\"what did I read on 2014/12/18?\", \"news\"], [\"Did I read on 2014/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/19\": {\"breakfast\": {\"eid\": \"e3131\", \"logical_representation\": [\"2014/12/19\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Andrew, Carter. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/12/19?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for breakfast on 2014/12/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3132\", \"logical_representation\": [\"2014/12/19\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2014/12/19\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3133\", \"logical_representation\": [\"2014/12/19\", \"Claire, Layla\", \"in the early evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Claire, Layla for 21 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla in the early evening on 2014/12/19?\", \"21 minutes\"], [\"who did I talk to on 2014/12/19?\", \"Claire, Layla\"], [\"Did I talk to Claire, Layla on 2014/12/19?\", \"yes\"], [\"Did I talk to anyone on 2014/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/20\": {\"chat0\": {\"eid\": \"e3134\", \"logical_representation\": [\"2014/12/20\", \"Claire, Hazel, Lydia, Nevaeh\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Claire, Hazel, Lydia, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Lydia, Nevaeh during lunch hours on 2014/12/20?\", \"25 minutes\"], [\"who did I talk to on 2014/12/20?\", \"Claire, Hazel, Lydia, Nevaeh\"], [\"Did I talk to Claire, Hazel, Lydia, Nevaeh on 2014/12/20?\", \"yes\"], [\"Did I talk to anyone on 2014/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3135\", \"logical_representation\": [\"2014/12/20\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2014/12/20?\", \"6 minutes\"], [\"what did I read on 2014/12/20?\", \"a book\"], [\"Did I read on 2014/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/21\": {\"exercise\": {\"eid\": \"e3136\", \"logical_representation\": [\"2014/12/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2014/12/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3137\", \"logical_representation\": [\"2014/12/21\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2014/12/21?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2014/12/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2014/12/22\": {\"chat0\": {\"eid\": \"e3138\", \"logical_representation\": [\"2014/12/22\", \"Nora, Hazel, Eva\", \"in the early afternoon\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Nora, Hazel, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel, Eva in the early afternoon on 2014/12/22?\", \"5 minutes\"], [\"who did I talk to on 2014/12/22?\", \"Nora, Hazel, Eva\"], [\"Did I talk to Nora, Hazel, Eva on 2014/12/22?\", \"yes\"], [\"Did I talk to anyone on 2014/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/23\": {\"exercise\": {\"eid\": \"e3139\", \"logical_representation\": [\"2014/12/23\", \"biking\"], \"text_template_based\": \"I did biking on 2014/12/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2014/12/23?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3140\", \"logical_representation\": [\"2014/12/23\", \"lunch\", \"tacos\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/12/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3141\", \"logical_representation\": [\"2014/12/23\", \"Nora, Lydia, Hazel, Olivia\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Nora, Lydia, Hazel, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Hazel, Olivia in the early afternoon on 2014/12/23?\", \"53 minutes\"], [\"who did I talk to on 2014/12/23?\", \"Nora, Lydia, Hazel, Olivia\"], [\"Did I talk to Nora, Lydia, Hazel, Olivia on 2014/12/23?\", \"yes\"], [\"Did I talk to anyone on 2014/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/24\": {\"chat0\": {\"eid\": \"e3142\", \"logical_representation\": [\"2014/12/24\", \"Eva\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I talked to Eva for 12 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2014/12/24?\", \"12 minutes\"], [\"who did I talk to on 2014/12/24?\", \"Eva\"], [\"Did I talk to Eva on 2014/12/24?\", \"yes\"], [\"Did I talk to anyone on 2014/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/29\": {\"chat0\": {\"eid\": \"e3147\", \"logical_representation\": [\"2014/12/29\", \"Avery\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2014/12/29?\", \"35 minutes\"], [\"who did I talk to on 2014/12/29?\", \"Avery\"], [\"Did I talk to Avery on 2014/12/29?\", \"yes\"], [\"Did I talk to anyone on 2014/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2014/12/30\": {\"lunch\": {\"eid\": \"e3148\", \"logical_representation\": [\"2014/12/30\", \"lunch\", \"a burger\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2014/12/30?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2014/12/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3149\", \"logical_representation\": [\"2014/12/30\", \"dinner\", \"fish and chips\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I had dinner with Jackson, Willow, Avery. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2014/12/30?\", \"Jackson, Willow, Avery\"], [\"what did I eat for dinner on 2014/12/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2014/12/31\": {\"lunch\": {\"eid\": \"e3150\", \"logical_representation\": [\"2014/12/31\", \"lunch\", \"a burger\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2014/12/31\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/03/03\": {\"travel\": {\"eid\": \"e3151\", \"logical_representation\": [\"2015/03/03\", \"2015/03/15\", [\"Benjamin\"], \"Shanghai, China\"], \"text_template_based\": \"I visited Shanghai, China for 12 days with Benjamin starting on 2015/03/03\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Shanghai, China on 2015/03/03?\", \"Benjamin\"], [\"who did I go with to Shanghai, China?\", \"Benjamin\"], [\"where did I go on 2015/03/03?\", \"Shanghai, China\"], [\"when did I go to Shanghai, China?\", \"2015/03/03\"], [\"when did I go to Shanghai, China with Benjamin ?\", \"2015/03/03\"], [\"How long did I stay in Shanghai, China?\", \"12\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3328\", \"logical_representation\": [\"2015/03/03\", \"breakfast\", \"oatmeal\", \"Lydia, Rylee\"], \"text_template_based\": \"I had oatmeal for breakfast with Lydia, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/03/03?\", \"Lydia, Rylee\"], [\"what did I eat for breakfast on 2015/03/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3329\", \"logical_representation\": [\"2015/03/03\", \"dinner\", \"sushi\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/03/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3330\", \"logical_representation\": [\"2015/03/03\", \"Avery, Piper, Eva, Kinsley\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Avery, Piper, Eva, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Eva, Kinsley in the early evening on 2015/03/03?\", \"34 minutes\"], [\"who did I talk to on 2015/03/03?\", \"Avery, Piper, Eva, Kinsley\"], [\"Did I talk to Avery, Piper, Eva, Kinsley on 2015/03/03?\", \"yes\"], [\"Did I talk to anyone on 2015/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/04\": {\"dining\": {\"eid\": \"e3152\", \"logical_representation\": [\"2015/03/04\", [\"Benjamin\"], \"Japanese food\", \"South Bund Fabric Market\"], \"text_template_based\": \"I ate Japanese food at South Bund Fabric Market with Benjamin on  2015/03/04 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at South Bund Fabric Market ?\", \"Benjamin\"], [\"who did I eat Japanese food with?\", \"Benjamin\"], [\"where did we eat Japanese food during our trip to Shanghai, China on  2015/03/04?\", \"South Bund Fabric Market\"], [\"when did we eat Japanese food at South Bund Fabric Market during our trip to Shanghai, China?\", \"2015/03/04\"], [\"when did we eat at South Bund Fabric Market?\", \"2015/03/04\"], [\"when did we eat Japanese food?\", \"2015/03/04\"]], \"multihop_qa_pairs\": []}}, \"2015/03/05\": {\"dining\": {\"eid\": \"e3153\", \"logical_representation\": [\"2015/03/05\", [\"Benjamin\"], \"Chinese food\", \"Fangbang Xi Lu\"], \"text_template_based\": \"I ate Chinese food at Fangbang Xi Lu with Benjamin on  2015/03/05 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Fangbang Xi Lu ?\", \"Benjamin\"], [\"who did I eat Chinese food with?\", \"Benjamin\"], [\"where did we eat Chinese food during our trip to Shanghai, China on  2015/03/05?\", \"Fangbang Xi Lu\"], [\"when did we eat Chinese food at Fangbang Xi Lu during our trip to Shanghai, China?\", \"2015/03/05\"], [\"when did we eat at Fangbang Xi Lu?\", \"2015/03/05\"], [\"when did we eat Chinese food?\", \"2015/03/05\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3331\", \"logical_representation\": [\"2015/03/05\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/03/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3332\", \"logical_representation\": [\"2015/03/05\", \"dinner\", \"tacos\", \"Avery, Willow\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/03/05\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2015/03/06\": {\"dining\": {\"eid\": \"e3154\", \"logical_representation\": [\"2015/03/06\", [\"Benjamin\"], \"Japanese food\", \"South Bund Fabric Market\"], \"text_template_based\": \"I ate Japanese food at South Bund Fabric Market with Benjamin on  2015/03/06 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at South Bund Fabric Market ?\", \"Benjamin\"], [\"who did I eat Japanese food with?\", \"Benjamin\"], [\"where did we eat Japanese food during our trip to Shanghai, China on  2015/03/06?\", \"South Bund Fabric Market\"], [\"when did we eat Japanese food at South Bund Fabric Market during our trip to Shanghai, China?\", \"2015/03/06\"], [\"when did we eat at South Bund Fabric Market?\", \"2015/03/06\"], [\"when did we eat Japanese food?\", \"2015/03/06\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3333\", \"logical_representation\": [\"2015/03/06\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/03/06?\", \"32 minutes\"], [\"what did I read on 2015/03/06?\", \"social media\"], [\"Did I read on 2015/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/07\": {\"dining\": {\"eid\": \"e3155\", \"logical_representation\": [\"2015/03/07\", [\"Benjamin\"], \"Indian food\", \"Yuyuan Lu junction\"], \"text_template_based\": \"I ate Indian food at Yuyuan Lu junction with Benjamin on  2015/03/07 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Yuyuan Lu junction ?\", \"Benjamin\"], [\"who did I eat Indian food with?\", \"Benjamin\"], [\"where did we eat Indian food during our trip to Shanghai, China on  2015/03/07?\", \"Yuyuan Lu junction\"], [\"when did we eat Indian food at Yuyuan Lu junction during our trip to Shanghai, China?\", \"2015/03/07\"], [\"when did we eat at Yuyuan Lu junction?\", \"2015/03/07\"], [\"when did we eat Indian food?\", \"2015/03/07\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3334\", \"logical_representation\": [\"2015/03/07\", \"a movie\", \"8 minutes\"], \"text_template_based\": \"I watched a movie for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/07?\", \"8 minutes\"], [\"what did I watch on tv on 2015/03/07?\", \"a movie\"], [\"Did I watch tv on 2015/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/08\": {\"dining\": {\"eid\": \"e3156\", \"logical_representation\": [\"2015/03/08\", [\"Benjamin\"], \"Indian food\", \"Fangbang Xi Lu\"], \"text_template_based\": \"I ate Indian food at Fangbang Xi Lu with Benjamin on  2015/03/08 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Fangbang Xi Lu ?\", \"Benjamin\"], [\"who did I eat Indian food with?\", \"Benjamin\"], [\"where did we eat Indian food during our trip to Shanghai, China on  2015/03/08?\", \"Fangbang Xi Lu\"], [\"when did we eat Indian food at Fangbang Xi Lu during our trip to Shanghai, China?\", \"2015/03/08\"], [\"when did we eat at Fangbang Xi Lu?\", \"2015/03/08\"], [\"when did we eat Indian food?\", \"2015/03/08\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3335\", \"logical_representation\": [\"2015/03/08\", \"dinner\", \"pasta\", \"Hazel, Lydia, Olivia, Piper, Avery, Nevaeh, Layla, Piper, Kinsley, Claire\"], \"text_template_based\": \"I had pasta for dinner with Hazel, Lydia, Olivia, Piper, Avery, Nevaeh, Layla, Piper, Kinsley, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/03/08?\", \"Hazel, Lydia, Olivia, Piper, Avery, Nevaeh, Layla, Piper, Kinsley, Claire\"], [\"what did I eat for dinner on 2015/03/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3336\", \"logical_representation\": [\"2015/03/08\", \"Piper, Layla\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Piper, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla during lunch hours on 2015/03/08?\", \"29 minutes\"], [\"who did I talk to on 2015/03/08?\", \"Piper, Layla\"], [\"Did I talk to Piper, Layla on 2015/03/08?\", \"yes\"], [\"Did I talk to anyone on 2015/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3337\", \"logical_representation\": [\"2015/03/08\", \"social media\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/03/08?\", \"38 minutes\"], [\"what did I read on 2015/03/08?\", \"social media\"], [\"Did I read on 2015/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3338\", \"logical_representation\": [\"2015/03/08\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/08?\", \"42 minutes\"], [\"what did I watch on tv on 2015/03/08?\", \"news\"], [\"Did I watch tv on 2015/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/09\": {\"dining\": {\"eid\": \"e3157\", \"logical_representation\": [\"2015/03/09\", [\"Benjamin\"], \"Chinese food\", \"South Bund Fabric Market\"], \"text_template_based\": \"I ate Chinese food at South Bund Fabric Market with Benjamin on  2015/03/09 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat 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\"Wanhangdu Lu junction\"], \"text_template_based\": \"I ate Indian food at Wanhangdu Lu junction with Benjamin on  2015/03/10 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Wanhangdu Lu junction ?\", \"Benjamin\"], [\"who did I eat Indian food with?\", \"Benjamin\"], [\"where did we eat Indian food during our trip to Shanghai, China on  2015/03/10?\", \"Wanhangdu Lu junction\"], [\"when did we eat Indian food at Wanhangdu Lu junction during our trip to Shanghai, China?\", \"2015/03/10\"], [\"when did we eat at Wanhangdu Lu junction?\", \"2015/03/10\"], [\"when did we eat Indian food?\", \"2015/03/10\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3340\", \"logical_representation\": [\"2015/03/10\", \"lunch\", \"steak\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/03/10\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2015/03/11\": {\"dining\": {\"eid\": \"e3159\", \"logical_representation\": [\"2015/03/11\", [\"Benjamin\"], \"local food\", \"Wanhangdu Lu junction\"], \"text_template_based\": \"I ate local food at Wanhangdu Lu junction with Benjamin on  2015/03/11 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at Wanhangdu Lu junction ?\", \"Benjamin\"], [\"who did I eat local food with?\", \"Benjamin\"], [\"where did we eat local food during our trip to Shanghai, China on  2015/03/11?\", \"Wanhangdu Lu junction\"], [\"when did we eat local food at Wanhangdu Lu junction during our trip to Shanghai, China?\", \"2015/03/11\"], [\"when did we eat at Wanhangdu Lu junction?\", \"2015/03/11\"], [\"when did we eat local food?\", \"2015/03/11\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3341\", \"logical_representation\": [\"2015/03/11\", \"Piper\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2015/03/11?\", \"41 minutes\"], [\"who did I talk to on 2015/03/11?\", \"Piper\"], [\"Did I talk to Piper on 2015/03/11?\", \"yes\"], [\"Did I talk to anyone on 2015/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3342\", \"logical_representation\": [\"2015/03/11\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/03/11?\", \"40 minutes\"], [\"what did I read on 2015/03/11?\", \"social media\"], [\"Did I read on 2015/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/12\": {\"dining\": {\"eid\": \"e3160\", \"logical_representation\": [\"2015/03/12\", [\"Benjamin\"], \"Italian food\", \"South Bund Fabric Market\"], \"text_template_based\": \"I ate Italian food at South Bund Fabric Market with Benjamin on  2015/03/12 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at South Bund Fabric Market ?\", \"Benjamin\"], [\"who did I eat Italian food with?\", \"Benjamin\"], [\"where did we eat Italian food during our trip to Shanghai, China on  2015/03/12?\", \"South Bund Fabric Market\"], [\"when did we eat Italian food at South Bund Fabric Market during our trip to Shanghai, China?\", \"2015/03/12\"], [\"when did we eat at South Bund Fabric Market?\", \"2015/03/12\"], [\"when did we eat Italian food?\", \"2015/03/12\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e3181\", \"logical_representation\": [\"2015/03/12\", \"Mateo\", \"a park\"], \"text_template_based\": \"On 2015/03/12, I took Mateo on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/03/12\", \"Mateo\"], [\"where did I go for the date on 2015/03/12\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3343\", \"logical_representation\": [\"2015/03/12\", \"breakfast\", \"peanut-butter-jam\", \"Jackson\"], \"text_template_based\": \"I had breakfast with Jackson. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/03/12?\", \"Jackson\"], [\"what did I eat for breakfast on 2015/03/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3344\", \"logical_representation\": [\"2015/03/12\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/12?\", \"11 minutes\"], [\"what did I watch on tv on 2015/03/12?\", \"a movie\"], [\"Did I watch tv on 2015/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/13\": {\"dining\": {\"eid\": \"e3161\", \"logical_representation\": [\"2015/03/13\", [\"Benjamin\"], \"Chinese food\", \"Wanhangdu Lu junction\"], \"text_template_based\": \"I ate Chinese food at Wanhangdu Lu junction with Benjamin on  2015/03/13 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Wanhangdu Lu junction ?\", \"Benjamin\"], [\"who did I eat Chinese food with?\", \"Benjamin\"], [\"where did we eat Chinese food during our trip to Shanghai, China on  2015/03/13?\", \"Wanhangdu Lu junction\"], [\"when did we eat Chinese food at Wanhangdu Lu junction during our trip to Shanghai, China?\", \"2015/03/13\"], [\"when did we eat at Wanhangdu Lu junction?\", \"2015/03/13\"], [\"when did we eat Chinese food?\", \"2015/03/13\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3345\", \"logical_representation\": [\"2015/03/13\", \"Lydia, Olivia\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia for 35 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia during lunch hours on 2015/03/13?\", \"35 minutes\"], [\"who did I talk to on 2015/03/13?\", \"Lydia, Olivia\"], [\"Did I talk to Lydia, Olivia on 2015/03/13?\", \"yes\"], [\"Did I talk to anyone on 2015/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/14\": {\"dining\": {\"eid\": \"e3162\", \"logical_representation\": [\"2015/03/14\", [\"Benjamin\"], \"Chinese food\", \"Yuyuan Lu junction\"], \"text_template_based\": \"I ate Chinese food at Yuyuan Lu junction with Benjamin on  2015/03/14 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Yuyuan Lu junction ?\", \"Benjamin\"], [\"who did I eat Chinese food with?\", \"Benjamin\"], [\"where did we eat Chinese food during our trip to Shanghai, China on  2015/03/14?\", \"Yuyuan Lu junction\"], [\"when did we eat Chinese food at Yuyuan Lu junction during our trip to Shanghai, China?\", \"2015/03/14\"], [\"when did we eat at Yuyuan Lu junction?\", \"2015/03/14\"], [\"when did we eat Chinese food?\", \"2015/03/14\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3346\", \"logical_representation\": [\"2015/03/14\", \"Hazel\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the morning on 2015/03/14?\", \"29 minutes\"], [\"who did I talk to on 2015/03/14?\", \"Hazel\"], [\"Did I talk to Hazel on 2015/03/14?\", \"yes\"], [\"Did I talk to anyone on 2015/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/15\": {\"dining\": {\"eid\": \"e3163\", \"logical_representation\": [\"2015/03/15\", [\"Benjamin\"], \"Italian food\", \"Yuyuan Lu junction\"], \"text_template_based\": \"I ate Italian food at Yuyuan Lu junction with Benjamin on  2015/03/15 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Yuyuan Lu junction ?\", \"Benjamin\"], [\"who did I eat Italian food with?\", \"Benjamin\"], [\"where did we eat Italian food during our trip to Shanghai, China on  2015/03/15?\", \"Yuyuan Lu junction\"], [\"when did we eat Italian food at Yuyuan Lu junction during our trip to Shanghai, China?\", \"2015/03/15\"], [\"when did we eat at Yuyuan Lu junction?\", \"2015/03/15\"], [\"when did we eat Italian food?\", \"2015/03/15\"]], \"multihop_qa_pairs\": []}}, \"2015/10/08\": {\"personal_medical_care\": {\"eid\": \"e3164\", \"logical_representation\": [\"2015/10/08\", \"I went for an annual dental cleaning and checkup on 2015/10/08 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual dental cleaning and checkup on 2015/10/08 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual dental cleaning and checkup in 2015?\", \"2015/10/08\"], [\"where did I go for an annual dental cleaning and checkup on 2015/10/08\", \"university hospital\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3650\", \"logical_representation\": [\"2015/10/08\", \"biking\"], \"text_template_based\": \"I did biking on 2015/10/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/08?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3651\", \"logical_representation\": [\"2015/10/08\", \"Avery, Claire\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I talked to Avery, Claire for 41 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire in the early afternoon on 2015/10/08?\", \"41 minutes\"], [\"who did I talk to on 2015/10/08?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2015/10/08?\", \"yes\"], [\"Did I talk to anyone on 2015/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/08\": {\"parent_medical_care\": {\"eid\": \"e3165\", \"logical_representation\": [\"2015/07/08\", \"my parents for their and I went for an annual physical checkup at the university hospital on 2015/07/08.\", \"university hospital\"], \"text_template_based\": \"my parents for their and I went for an annual physical checkup at the university hospital on 2015/07/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2015?\", \"2015/07/08\"], [\"what did I do on 2015/07/08\", \"I took my parents for their for an  annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3510\", \"logical_representation\": [\"2015/07/08\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/08\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3511\", \"logical_representation\": [\"2015/07/08\", \"lunch\", \"a burger\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3512\", \"logical_representation\": [\"2015/07/08\", \"Layla\", \"in the early evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2015/07/08?\", \"12 minutes\"], [\"who did I talk to on 2015/07/08?\", \"Layla\"], [\"Did I talk to Layla on 2015/07/08?\", \"yes\"], [\"Did I talk to anyone on 2015/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/20\": {\"parent_medical_care\": {\"eid\": \"e3166\", \"logical_representation\": [\"2015/03/20\", \"my parents for their and I went for an annual dental cleaning and checkup at the private clinic on 2015/03/20.\", \"private clinic\"], \"text_template_based\": \"my parents for their and I went for an annual dental cleaning and checkup at the private clinic on 2015/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2015?\", \"2015/03/20\"], [\"what did I do on 2015/03/20\", \"I took my parents for their for an  annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3353\", \"logical_representation\": [\"2015/03/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3354\", \"logical_representation\": [\"2015/03/20\", \"lunch\", \"fish and chips\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/03/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3355\", \"logical_representation\": [\"2015/03/20\", \"Avery\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Avery for 6 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2015/03/20?\", \"6 minutes\"], [\"who did I talk to on 2015/03/20?\", \"Avery\"], [\"Did I talk to Avery on 2015/03/20?\", \"yes\"], [\"Did I talk to anyone on 2015/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/07\": {\"dating\": {\"eid\": \"e3167\", \"logical_representation\": [\"2015/01/07\", \"Olivia\", \"a boba shop\"], \"text_template_based\": \"On 2015/01/07, I took Olivia on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/01/07\", \"Olivia\"], [\"where did I go for the date on 2015/01/07\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3244\", \"logical_representation\": [\"2015/01/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/01/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3245\", \"logical_representation\": [\"2015/01/07\", \"lunch\", \"tacos\", \"Layla, Claire, Piper, Olivia\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/01/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3246\", \"logical_representation\": [\"2015/01/07\", \"Lydia\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2015/01/07?\", \"39 minutes\"], [\"who did I talk to on 2015/01/07?\", \"Lydia\"], [\"Did I talk to Lydia on 2015/01/07?\", \"yes\"], [\"Did I talk to anyone on 2015/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/05\": {\"grocery\": {\"eid\": \"e3168\", \"logical_representation\": [\"2015/01/05\", \"I bought some blueberries, peaches, apples, apple juice, sports drinks, mouthwash online.\", \"blueberries, peaches, apples\", \"apple juice, sports drinks\", \"mouthwash\", \"Layla, Rylee, Avery, Claire, Eva, Nevaeh, Piper, Olivia, Nora, Piper, Lydia, Kinsley\"], \"text_template_based\": \"I bought some blueberries, peaches, apples, apple juice, sports drinks, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/01/05?\", \"blueberries, peaches, apples, apple juice, sports drinks, and mouthwash\"], [\"what fruits did I buy online on 2015/01/05?\", \"blueberries, peaches, apples\"], [\"what drinks did I buy online on 2015/01/05?\", \"apple juice, sports drinks\"], [\"what toiletries did I buy online on 2015/01/05?\", \"mouthwash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3241\", \"logical_representation\": [\"2015/01/05\", \"lunch\", \"steak\", \"Eva, Nevaeh, Lydia, Olivia\"], \"text_template_based\": \"I had lunch with Eva, Nevaeh, Lydia, Olivia. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/01/05?\", \"Eva, Nevaeh, Lydia, Olivia\"], [\"what did I eat for lunch on 2015/01/05\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2015/01/12\": {\"dating\": {\"eid\": \"e3169\", \"logical_representation\": [\"2015/01/12\", \"Roman\", \"a restaurant\"], \"text_template_based\": \"On 2015/01/12, I took Roman on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/01/12\", \"Roman\"], [\"where did I go for the date on 2015/01/12\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3252\", \"logical_representation\": [\"2015/01/12\", \"dinner\", \"sushi\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had sushi for dinner with Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/01/12?\", \"Benjamin, Jackson\"], [\"what did I eat for dinner on 2015/01/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3253\", \"logical_representation\": [\"2015/01/12\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/01/12?\", \"12 minutes\"], [\"what did I read on 2015/01/12?\", \"social media\"], [\"Did I read on 2015/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/21\": {\"hobbies\": {\"eid\": \"e3170\", \"logical_representation\": [\"2015/01/21\", \"I really enjoyed gardening on 2015/01/21\", \"gardening\", \"Carter\"], \"text_template_based\": \"I really enjoyed gardening on 2015/01/21\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2015/01/21\"], [\"On 2015/01/21, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3263\", \"logical_representation\": [\"2015/01/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/01/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3264\", \"logical_representation\": [\"2015/01/21\", \"a documentary\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/21?\", \"49 minutes\"], [\"what did I watch on tv on 2015/01/21?\", \"a documentary\"], [\"Did I watch tv on 2015/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/25\": {\"grocery\": {\"eid\": \"e3171\", \"logical_representation\": [\"2015/01/25\", \"I bought some pineapples, apples, sports drinks, mineral water, soda, body lotion online.\", \"pineapples, apples\", \"sports drinks, mineral water, soda\", \"body lotion\", \"Lydia, Hazel, Avery, Nevaeh, Piper, Layla, Olivia, Claire, Kinsley, Piper, Rylee\"], \"text_template_based\": \"I bought some pineapples, apples, sports drinks, mineral water, soda, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/01/25?\", \"pineapples, apples, sports drinks, mineral water, soda, and body lotion\"], [\"what fruits did I buy online on 2015/01/25?\", \"pineapples, apples\"], [\"what drinks did I buy online on 2015/01/25?\", \"sports drinks, mineral water, soda\"], [\"what toiletries did I buy online on 2015/01/25?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3268\", \"logical_representation\": [\"2015/01/25\", \"lunch\", \"pasta\", \"Olivia\"], \"text_template_based\": \"I had pasta for lunch with Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/01/25?\", \"Olivia\"], [\"what did I eat for lunch on 2015/01/25\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/01/31\": {\"grocery\": {\"eid\": \"e3172\", \"logical_representation\": [\"2015/01/31\", \"I bought some guava, soda, coffee, orange juice, milk, body lotion online.\", \"guava\", \"soda, coffee, orange juice, milk\", \"body lotion\", \"Carter, Emily\"], \"text_template_based\": \"I bought some guava, soda, coffee, orange juice, milk, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/01/31?\", \"guava, soda, coffee, orange juice, milk, and body lotion\"], [\"what fruits did I buy online on 2015/01/31?\", \"guava\"], [\"what drinks did I buy online on 2015/01/31?\", \"soda, coffee, orange juice, milk\"], [\"what toiletries did I buy online on 2015/01/31?\", \"body lotion\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3276\", \"logical_representation\": [\"2015/01/31\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/01/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/31?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3277\", \"logical_representation\": [\"2015/01/31\", \"dinner\", \"steak\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/31\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3278\", \"logical_representation\": [\"2015/01/31\", \"Kinsley\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2015/01/31?\", \"17 minutes\"], [\"who did I talk to on 2015/01/31?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2015/01/31?\", \"yes\"], [\"Did I talk to anyone on 2015/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/02\": {\"grocery\": {\"eid\": \"e3173\", \"logical_representation\": [\"2015/02/02\", \"I bought some apricots, cherres, guava, pears, soda, tea, sports drinks, body lotion, facial wash online.\", \"apricots, cherres, guava, pears\", \"soda, tea, sports drinks\", \"body lotion, facial wash\", \"Piper, Piper, Olivia, Eva, Rylee, Kinsley, Nevaeh, Lydia, Layla, Claire, Avery\"], \"text_template_based\": \"I bought some apricots, cherres, guava, pears, soda, tea, sports drinks, body lotion, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/02/02?\", \"apricots, cherres, guava, pears, soda, tea, sports drinks, and body lotion, facial wash\"], [\"what fruits did I buy online on 2015/02/02?\", \"apricots, cherres, guava, pears\"], [\"what drinks did I buy online on 2015/02/02?\", \"soda, tea, sports drinks\"], [\"what toiletries did I buy online on 2015/02/02?\", \"body lotion, facial wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3281\", \"logical_representation\": [\"2015/02/02\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had oatmeal for breakfast with Kayden, Carter, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/02/02?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for breakfast on 2015/02/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3282\", \"logical_representation\": [\"2015/02/02\", \"lunch\", \"chinese food\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3283\", \"logical_representation\": [\"2015/02/02\", \"a documentary\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/02?\", \"38 minutes\"], [\"what did I watch on tv on 2015/02/02?\", \"a documentary\"], [\"Did I watch tv on 2015/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/11\": {\"dating\": {\"eid\": \"e3174\", \"logical_representation\": [\"2015/02/11\", \"Delilah\", \"a coffee Shop\"], \"text_template_based\": \"On 2015/02/11, I took Delilah on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/02/11\", \"Delilah\"], [\"where did I go for the date on 2015/02/11\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3299\", \"logical_representation\": [\"2015/02/11\", \"lunch\", \"tacos\", \"Claire, Rylee, Kinsley, Piper, Hazel, Piper, Nora, Nevaeh, Eva, Avery\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3300\", \"logical_representation\": [\"2015/02/11\", \"Layla, Hazel, Rylee\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Layla, Hazel, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Rylee late in the evening on 2015/02/11?\", \"45 minutes\"], [\"who did I talk to on 2015/02/11?\", \"Layla, Hazel, Rylee\"], [\"Did I talk to Layla, Hazel, Rylee on 2015/02/11?\", \"yes\"], [\"Did I talk to anyone on 2015/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/05\": {\"grocery\": {\"eid\": \"e3175\", \"logical_representation\": [\"2015/02/05\", \"I bought some blackberries, sports drinks, pineapple juice, toothbrush from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\", \"blackberries\", \"sports drinks, pineapple juice\", \"toothbrush\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I bought some blackberries, sports drinks, pineapple juice, toothbrush from the grocery store. I saw Carter, Kayden, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/02/05?\", \"blackberries, sports drinks, pineapple juice, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2015/02/05?\", \"blackberries\"], [\"what drinks did I buy from the grocery store on 2015/02/05?\", \"sports drinks, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2015/02/05?\", \"toothbrush\"], [\"who did I see at the grocery store on 2015/02/05?\", \"Carter, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3290\", \"logical_representation\": [\"2015/02/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Layla, Avery, Rylee\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/02/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2015/02/09\": {\"grocery\": {\"eid\": \"e3176\", \"logical_representation\": [\"2015/02/09\", \"I bought some strawberries, apricots, apple juice, mineral water, conditioner, mouthwash from the grocery store. I saw Jackson at the grocery store.\", \"strawberries, apricots\", \"apple juice, mineral water\", \"conditioner, mouthwash\", \"Jackson\"], \"text_template_based\": \"I bought some strawberries, apricots, apple juice, mineral water, conditioner, mouthwash from the grocery store. I saw Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/02/09?\", \"strawberries, apricots, apple juice, mineral water, and conditioner, mouthwash\"], [\"what fruits did I buy from the grocery store on 2015/02/09?\", \"strawberries, apricots\"], [\"what drinks did I buy from the grocery store on 2015/02/09?\", \"apple juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2015/02/09?\", \"conditioner, mouthwash\"], [\"who did I see at the grocery store on 2015/02/09?\", \"Jackson\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3297\", \"logical_representation\": [\"2015/02/09\", \"Layla, Hazel\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Layla, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel in the early afternoon on 2015/02/09?\", \"38 minutes\"], [\"who did I talk to on 2015/02/09?\", \"Layla, Hazel\"], [\"Did I talk to Layla, Hazel on 2015/02/09?\", \"yes\"], [\"Did I talk to anyone on 2015/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/14\": {\"grocery\": {\"eid\": \"e3177\", \"logical_representation\": [\"2015/02/14\", \"I went grocery shopping. I bought some peaches, raspberries, tea, soda, coffee, and facial wash, conditioner, mouth wash\", \"peaches, raspberries\", \"tea, soda, coffee\", \"facial wash, conditioner, mouth wash\", \"Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, raspberries, tea, soda, coffee, and facial wash, conditioner, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/02/14?\", \"peaches, raspberries, tea, soda, coffee, and facial wash, conditioner, mouth wash\"], [\"what fruits did I buy from the grocery store on 2015/02/14?\", \"peaches, raspberries\"], [\"what drinks did I buy from the grocery store on 2015/02/14?\", \"tea, soda, coffee\"], [\"what toiletries did I buy from the grocery store on 2015/02/14?\", \"facial wash, conditioner, mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3305\", \"logical_representation\": [\"2015/02/14\", \"breakfast\", \"cereals\", \"Jackson\"], \"text_template_based\": \"I had cereals for breakfast with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/02/14?\", \"Jackson\"], [\"what did I eat for breakfast on 2015/02/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3306\", \"logical_representation\": [\"2015/02/14\", \"lunch\", \"indian food\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3307\", \"logical_representation\": [\"2015/02/14\", \"a documentary\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/14?\", \"6 minutes\"], [\"what did I watch on tv on 2015/02/14?\", \"a documentary\"], [\"Did I watch tv on 2015/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/21\": {\"grocery\": {\"eid\": \"e3178\", \"logical_representation\": [\"2015/02/21\", \"I bought some pears, strawberries, oranges, chocolate milk, tea, toothbrush, body lotion, mouth wash online.\", \"pears, strawberries, oranges\", \"chocolate milk, tea\", \"toothbrush, body lotion, mouth wash\", \"Nora, Kinsley, Lydia, Eva, Layla, Rylee, Avery, Olivia, Piper, Piper, Claire, Nevaeh\"], \"text_template_based\": \"I bought some pears, strawberries, oranges, chocolate milk, tea, toothbrush, body lotion, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/02/21?\", \"pears, strawberries, oranges, chocolate milk, tea, and toothbrush, body lotion, mouth wash\"], [\"what fruits did I buy online on 2015/02/21?\", \"pears, strawberries, oranges\"], [\"what drinks did I buy online on 2015/02/21?\", \"chocolate milk, tea\"], [\"what toiletries did I buy online on 2015/02/21?\", \"toothbrush, body lotion, mouth wash\"]], \"multihop_qa_pairs\": []}}, \"2015/02/22\": {\"grocery\": {\"eid\": \"e3179\", \"logical_representation\": [\"2015/02/22\", \"I went grocery shopping. I bought some mandarins, pears, blueberries, apple juice, soda, chocolate milk, sports drinks, and body lotion, toilet paper\", \"mandarins, pears, blueberries\", \"apple juice, soda, chocolate milk, sports drinks\", \"body lotion, toilet paper\", \"Nora, Kinsley, Hazel, Piper, Layla, Rylee, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, pears, blueberries, apple juice, soda, chocolate milk, sports drinks, and body lotion, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/02/22?\", \"mandarins, pears, blueberries, apple juice, soda, chocolate milk, sports drinks, and body lotion, toilet paper\"], [\"what fruits did I buy from the grocery store on 2015/02/22?\", \"mandarins, pears, blueberries\"], [\"what drinks did I buy from the grocery store on 2015/02/22?\", \"apple juice, soda, chocolate milk, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2015/02/22?\", \"body lotion, toilet paper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3315\", \"logical_representation\": [\"2015/02/22\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/02/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2015/02/27\": {\"hobbies\": {\"eid\": \"e3180\", \"logical_representation\": [\"2015/02/27\", \"I spent some time meditation on 2015/02/27.\", \"meditation\", \"Hazel, Layla, Nevaeh\"], \"text_template_based\": \"I spent some time meditation on 2015/02/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2015/02/27\"], [\"On 2015/02/27, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3319\", \"logical_representation\": [\"2015/02/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/02/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3320\", \"logical_representation\": [\"2015/02/27\", \"dinner\", \"pasta\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had dinner with Avery, Willow, Jackson, Benjamin. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/02/27?\", \"Avery, Willow, Jackson, Benjamin\"], [\"what did I eat for dinner on 2015/02/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3321\", \"logical_representation\": [\"2015/02/27\", \"Avery\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I talked to Avery for 9 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery during lunch hours on 2015/02/27?\", \"9 minutes\"], [\"who did I talk to on 2015/02/27?\", \"Avery\"], [\"Did I talk to Avery on 2015/02/27?\", \"yes\"], [\"Did I talk to anyone on 2015/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3322\", \"logical_representation\": [\"2015/02/27\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/02/27?\", \"27 minutes\"], [\"what did I read on 2015/02/27?\", \"news\"], [\"Did I read on 2015/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/16\": {\"hobbies\": {\"eid\": \"e3182\", \"logical_representation\": [\"2015/03/16\", \"I spent time gardening on 2015/03/16 with Nevaeh, Rylee, Kinsley.\", \"gardening\", \"Nevaeh, Rylee, Kinsley\"], \"text_template_based\": \"I spent time gardening on 2015/03/16 with Nevaeh, Rylee, Kinsley.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Nevaeh, Rylee, Kinsley?\", \"2015/03/16\"], [\"On 2015/03/16, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2015/03/16?\", \"Nevaeh, Rylee, Kinsley\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3347\", \"logical_representation\": [\"2015/03/16\", \"a tv series\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/16?\", \"41 minutes\"], [\"what did I watch on tv on 2015/03/16?\", \"a tv series\"], [\"Did I watch tv on 2015/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/23\": {\"grocery\": {\"eid\": \"e3183\", \"logical_representation\": [\"2015/03/23\", \"I bought some blackberries, milk, soda, tea, shaving cream from the grocery store. I saw Andrew, Emily, Kayden, Carter at the grocery store.\", \"blackberries\", \"milk, soda, tea\", \"shaving cream\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I bought some blackberries, milk, soda, tea, shaving cream from the grocery store. I saw Andrew, Emily, Kayden, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/03/23?\", \"blackberries, milk, soda, tea, and shaving cream\"], [\"what fruits did I buy from the grocery store on 2015/03/23?\", \"blackberries\"], [\"what drinks did I buy from the grocery store on 2015/03/23?\", \"milk, soda, tea\"], [\"what toiletries did I buy from the grocery store on 2015/03/23?\", \"shaving cream\"], [\"who did I see at the grocery store on 2015/03/23?\", \"Andrew, Emily, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3360\", \"logical_representation\": [\"2015/03/23\", \"dinner\", \"fish and chips\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Andrew, Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/03/23?\", \"Emily, Kayden, Andrew, Carter\"], [\"what did I eat for dinner on 2015/03/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2015/03/29\": {\"grocery\": {\"eid\": \"e3184\", \"logical_representation\": [\"2015/03/29\", \"I went grocery shopping. I bought some oranges, blackberries, cherres, soda, apple juice, mineral water, and mouthwash, paper towel\", \"oranges, blackberries, cherres\", \"soda, apple juice, mineral water\", \"mouthwash, paper towel\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, blackberries, cherres, soda, apple juice, mineral water, and mouthwash, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/03/29?\", \"oranges, blackberries, cherres, soda, apple juice, mineral water, and mouthwash, paper towel\"], [\"what fruits did I buy from the grocery store on 2015/03/29?\", \"oranges, blackberries, cherres\"], [\"what drinks did I buy from the grocery store on 2015/03/29?\", \"soda, apple juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2015/03/29?\", \"mouthwash, paper towel\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3368\", \"logical_representation\": [\"2015/03/29\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/29?\", \"12 minutes\"], [\"what did I watch on tv on 2015/03/29?\", \"a movie\"], [\"Did I watch tv on 2015/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/07\": {\"grocery\": {\"eid\": \"e3185\", \"logical_representation\": [\"2015/04/07\", \"I went grocery shopping with Andrew, Kayden. I bought some strawberries, apples, soda, and mouth wash, toothbrush, conditioner, toothpaste\", \"strawberries, apples\", \"soda\", \"mouth wash, toothbrush, conditioner, toothpaste\", \"Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping with Andrew, Kayden. I bought some strawberries, apples, soda, and mouth wash, toothbrush, conditioner, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/04/07?\", \"strawberries, apples, soda, and mouth wash, toothbrush, conditioner, toothpaste\"], [\"what fruits did I buy from the grocery store on 2015/04/07?\", \"strawberries, apples\"], [\"what drinks did I buy from the grocery store on 2015/04/07?\", \"soda\"], [\"what toiletries did I buy from the grocery store on 2015/04/07?\", \"mouth wash, toothbrush, conditioner, toothpaste\"], [\"who was with me at the grocery store on 2015/04/07?\", \"Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3381\", \"logical_representation\": [\"2015/04/07\", \"Olivia, Avery\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Olivia, Avery for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery in the morning on 2015/04/07?\", \"32 minutes\"], [\"who did I talk to on 2015/04/07?\", \"Olivia, Avery\"], [\"Did I talk to Olivia, Avery on 2015/04/07?\", \"yes\"], [\"Did I talk to anyone on 2015/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/14\": {\"dating\": {\"eid\": \"e3186\", \"logical_representation\": [\"2015/04/14\", \"Ella\", \"a restaurant\"], \"text_template_based\": \"On 2015/04/14, I took Ella on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/04/14\", \"Ella\"], [\"where did I go for the date on 2015/04/14\", \"a restaurant\"]], \"multihop_qa_pairs\": []}}, \"2015/05/02\": {\"grocery\": {\"eid\": \"e3187\", \"logical_representation\": [\"2015/05/02\", \"I bought some apricots, orange juice, sports drinks, soda, apple juice, shampoo, toilet paper, mouthwash, toothbrush online.\", \"apricots\", \"orange juice, sports drinks, soda, apple juice\", \"shampoo, toilet paper, mouthwash, toothbrush\", \"Kayden, Andrew\"], \"text_template_based\": \"I bought some apricots, orange juice, sports drinks, soda, apple juice, shampoo, toilet paper, mouthwash, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/05/02?\", \"apricots, orange juice, sports drinks, soda, apple juice, and shampoo, toilet paper, mouthwash, toothbrush\"], [\"what fruits did I buy online on 2015/05/02?\", \"apricots\"], [\"what drinks did I buy online on 2015/05/02?\", \"orange juice, sports drinks, soda, apple juice\"], [\"what toiletries did I buy online on 2015/05/02?\", \"shampoo, toilet paper, mouthwash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3416\", \"logical_representation\": [\"2015/05/02\", \"breakfast\", \"pancakes\", \"Piper, Lydia, Avery, Layla, Eva, Hazel, Olivia\"], \"text_template_based\": \"I had breakfast with Piper, Lydia, Avery, Layla, Eva, Hazel, Olivia. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/05/02?\", \"Piper, Lydia, Avery, Layla, Eva, Hazel, Olivia\"], [\"what did I eat for breakfast on 2015/05/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/15\": {\"dating\": {\"eid\": \"e3188\", \"logical_representation\": [\"2015/05/15\", \"Nora\", \"a park\"], \"text_template_based\": \"I went on a date with Nora on 2015/05/15 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/05/15\", \"Nora\"], [\"where did I go for the date on 2015/05/15\", \"a park\"]], \"multihop_qa_pairs\": []}}, \"2015/05/26\": {\"dating\": {\"eid\": \"e3189\", \"logical_representation\": [\"2015/05/26\", \"Brooklyn\", \"a boba shop\"], \"text_template_based\": \"On 2015/05/26, I took Brooklyn on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/05/26\", \"Brooklyn\"], [\"where did I go for the date on 2015/05/26\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3447\", \"logical_representation\": [\"2015/05/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3448\", \"logical_representation\": [\"2015/05/26\", \"Piper, Olivia\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia for 27 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the early evening on 2015/05/26?\", \"27 minutes\"], [\"who did I talk to on 2015/05/26?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2015/05/26?\", \"yes\"], [\"Did I talk to anyone on 2015/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/23\": {\"hobbies\": {\"eid\": \"e3190\", \"logical_representation\": [\"2015/05/23\", \"I spent some time meditation on 2015/05/23.\", \"meditation\", \"Kayden\"], \"text_template_based\": \"I spent some time meditation on 2015/05/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2015/05/23\"], [\"On 2015/05/23, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3443\", \"logical_representation\": [\"2015/05/23\", \"Nora, Eva, Nevaeh, Layla\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I talked to Nora, Eva, Nevaeh, Layla for 50 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Nevaeh, Layla in the early evening on 2015/05/23?\", \"50 minutes\"], [\"who did I talk to on 2015/05/23?\", \"Nora, Eva, Nevaeh, Layla\"], [\"Did I talk to Nora, Eva, Nevaeh, Layla on 2015/05/23?\", \"yes\"], [\"Did I talk to anyone on 2015/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3444\", \"logical_representation\": [\"2015/05/23\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/05/23?\", \"7 minutes\"], [\"what did I read on 2015/05/23?\", \"social media\"], [\"Did I read on 2015/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3445\", \"logical_representation\": [\"2015/05/23\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/23?\", \"28 minutes\"], [\"what did I watch on tv on 2015/05/23?\", \"a tv series\"], [\"Did I watch tv on 2015/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/24\": {\"hobbies\": {\"eid\": \"e3191\", \"logical_representation\": [\"2015/05/24\", \"I really enjoyed working out on 2015/05/24\", \"working out\", \"Kinsley\"], \"text_template_based\": \"I really enjoyed working out on 2015/05/24\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2015/05/24\"], [\"On 2015/05/24, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3446\", \"logical_representation\": [\"2015/05/24\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2015/06/03\": {\"hobbies\": {\"eid\": \"e3192\", \"logical_representation\": [\"2015/06/03\", \"I spent some time learning a language on 2015/06/03.\", \"learning a language\", \"Rylee, Avery\"], \"text_template_based\": \"I spent some time learning a language on 2015/06/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2015/06/03\"], [\"On 2015/06/03, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}}, \"2015/06/16\": {\"hobbies\": {\"eid\": \"e3193\", \"logical_representation\": [\"2015/06/16\", \"I spent some time gardening on 2015/06/16.\", \"gardening\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I spent some time gardening on 2015/06/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2015/06/16\"], [\"On 2015/06/16, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3479\", \"logical_representation\": [\"2015/06/16\", \"breakfast\", \"oatmeal\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/06/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2015/06/22\": {\"grocery\": {\"eid\": \"e3194\", \"logical_representation\": [\"2015/06/22\", \"I went grocery shopping with Andrew, Carter. I bought some guava, apricots, strawberries, raspberries, sports drinks, guava juice, coffee, orange juice, and mouthwash, toilet paper, toothpaste\", \"guava, apricots, strawberries, raspberries\", \"sports drinks, guava juice, coffee, orange juice\", \"mouthwash, toilet paper, toothpaste\", \"Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping with Andrew, Carter. I bought some guava, apricots, strawberries, raspberries, sports drinks, guava juice, coffee, orange juice, and mouthwash, toilet paper, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/06/22?\", \"guava, apricots, strawberries, raspberries, sports drinks, guava juice, coffee, orange juice, and mouthwash, toilet paper, toothpaste\"], [\"what fruits did I buy from the grocery store on 2015/06/22?\", \"guava, apricots, strawberries, raspberries\"], [\"what drinks did I buy from the grocery store on 2015/06/22?\", \"sports drinks, guava juice, coffee, orange juice\"], [\"what toiletries did I buy from the grocery store on 2015/06/22?\", \"mouthwash, toilet paper, toothpaste\"], [\"who was with me at the grocery store on 2015/06/22?\", \"Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3485\", \"logical_representation\": [\"2015/06/22\", \"breakfast\", \"oatmeal\", \"Hazel, Rylee, Avery, Nevaeh, Nora\"], \"text_template_based\": \"I had breakfast with Hazel, Rylee, Avery, Nevaeh, Nora. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/06/22?\", \"Hazel, Rylee, Avery, Nevaeh, Nora\"], [\"what did I eat for breakfast on 2015/06/22\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3486\", \"logical_representation\": [\"2015/06/22\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/06/22?\", \"37 minutes\"], [\"what did I read on 2015/06/22?\", \"social media\"], [\"Did I read on 2015/06/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/01\": {\"hobbies\": {\"eid\": \"e3195\", \"logical_representation\": [\"2015/07/01\", \"I spent some time meditation on 2015/07/01.\", \"meditation\", \"Eva\"], \"text_template_based\": \"I spent some time meditation on 2015/07/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2015/07/01\"], [\"On 2015/07/01, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3499\", \"logical_representation\": [\"2015/07/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/07/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3500\", \"logical_representation\": [\"2015/07/01\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/01?\", \"27 minutes\"], [\"what did I watch on tv on 2015/07/01?\", \"a documentary\"], [\"Did I watch tv on 2015/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/25\": {\"grocery\": {\"eid\": \"e3196\", \"logical_representation\": [\"2015/06/25\", \"I went grocery shopping with Avery. I bought some blueberries, bananas, pineapples, guava juice, and mouthwash, body lotion, paper towel, shaving cream\", \"blueberries, bananas, pineapples\", \"guava juice\", \"mouthwash, body lotion, paper towel, shaving cream\", \"Avery\"], \"text_template_based\": \"I went grocery shopping with Avery. I bought some blueberries, bananas, pineapples, guava juice, and mouthwash, body lotion, paper towel, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/06/25?\", \"blueberries, bananas, pineapples, guava juice, and mouthwash, body lotion, paper towel, shaving cream\"], [\"what fruits did I buy from the grocery store on 2015/06/25?\", \"blueberries, bananas, pineapples\"], [\"what drinks did I buy from the grocery store on 2015/06/25?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2015/06/25?\", \"mouthwash, body lotion, paper towel, shaving cream\"], [\"who was with me at the grocery store on 2015/06/25?\", \"Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3490\", \"logical_representation\": [\"2015/06/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3491\", \"logical_representation\": [\"2015/06/25\", \"breakfast\", \"oatmeal\", \"Claire, Eva\"], \"text_template_based\": \"I had oatmeal for breakfast with Claire, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/06/25?\", \"Claire, Eva\"], [\"what did I eat for breakfast on 2015/06/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3492\", \"logical_representation\": [\"2015/06/25\", \"lunch\", \"pasta\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/06/25\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/07/05\": {\"grocery\": {\"eid\": \"e3197\", \"logical_representation\": [\"2015/07/05\", \"I went grocery shopping. I bought some blackberries, guava, pears, cherres, mango juice, tea, and toothpaste, shampoo\", \"blackberries, guava, pears, cherres\", \"mango juice, tea\", \"toothpaste, shampoo\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some blackberries, guava, pears, cherres, mango juice, tea, and toothpaste, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/07/05?\", \"blackberries, guava, pears, cherres, mango juice, tea, and toothpaste, shampoo\"], [\"what fruits did I buy from the grocery store on 2015/07/05?\", \"blackberries, guava, pears, cherres\"], [\"what drinks did I buy from the grocery store on 2015/07/05?\", \"mango juice, tea\"], [\"what toiletries did I buy from the grocery store on 2015/07/05?\", \"toothpaste, shampoo\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3506\", \"logical_representation\": [\"2015/07/05\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/07/05?\", \"Kayden\"], [\"what did I eat for breakfast on 2015/07/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3507\", \"logical_representation\": [\"2015/07/05\", \"lunch\", \"tacos\", \"Nora, Claire, Piper, Eva, Lydia, Avery, Layla\"], \"text_template_based\": \"I had tacos for lunch with Nora, Claire, Piper, Eva, Lydia, Avery, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/07/05?\", \"Nora, Claire, Piper, Eva, Lydia, Avery, Layla\"], [\"what did I eat for lunch on 2015/07/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3508\", \"logical_representation\": [\"2015/07/05\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/07/05?\", \"32 minutes\"], [\"what did I read on 2015/07/05?\", \"news\"], [\"Did I read on 2015/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3509\", \"logical_representation\": [\"2015/07/05\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/05?\", \"45 minutes\"], [\"what did I watch on tv on 2015/07/05?\", \"a movie\"], [\"Did I watch tv on 2015/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/13\": {\"dating\": {\"eid\": \"e3198\", \"logical_representation\": [\"2015/07/13\", \"Victoria\", \"a park\"], \"text_template_based\": \"On 2015/07/13, I took Victoria on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/07/13\", \"Victoria\"], [\"where did I go for the date on 2015/07/13\", \"a park\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3518\", \"logical_representation\": [\"2015/07/13\", \"lunch\", \"indian food\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3519\", \"logical_representation\": [\"2015/07/13\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/07/13?\", \"49 minutes\"], [\"what did I read on 2015/07/13?\", \"a book\"], [\"Did I read on 2015/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/17\": {\"hobbies\": {\"eid\": \"e3199\", \"logical_representation\": [\"2015/07/17\", \"I spent time yoga on 2015/07/17 with Eva, Nevaeh, Rylee.\", \"yoga\", \"Eva, Nevaeh, Rylee\"], \"text_template_based\": \"I spent time yoga on 2015/07/17 with Eva, Nevaeh, Rylee.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Eva, Nevaeh, Rylee?\", \"2015/07/17\"], [\"On 2015/07/17, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2015/07/17?\", \"Eva, Nevaeh, Rylee\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3525\", \"logical_representation\": [\"2015/07/17\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/07/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/17?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3526\", \"logical_representation\": [\"2015/07/17\", \"lunch\", \"tacos\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/07/17?\", \"Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2015/07/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3527\", \"logical_representation\": [\"2015/07/17\", \"news\", \"33 minutes\"], \"text_template_based\": \"I watched news for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/17?\", \"33 minutes\"], [\"what did I watch on tv on 2015/07/17?\", \"news\"], [\"Did I watch tv on 2015/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/21\": {\"hobbies\": {\"eid\": \"e3200\", \"logical_representation\": [\"2015/07/21\", \"I really enjoyed learning a language on 2015/07/21\", \"learning a language\", \"Kayden, Emily\"], \"text_template_based\": \"I really enjoyed learning a language on 2015/07/21\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2015/07/21\"], [\"On 2015/07/21, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}}, \"2015/07/31\": {\"dating\": {\"eid\": \"e3201\", \"logical_representation\": [\"2015/07/31\", \"Aubrey\", \"a coffee Shop\"], \"text_template_based\": \"On 2015/07/31, I took Aubrey on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/07/31\", \"Aubrey\"], [\"where did I go for the date on 2015/07/31\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3546\", \"logical_representation\": [\"2015/07/31\", \"breakfast\", \"pancakes\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3547\", \"logical_representation\": [\"2015/07/31\", \"Eva, Olivia\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Eva, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia in the morning on 2015/07/31?\", \"32 minutes\"], [\"who did I talk to on 2015/07/31?\", \"Eva, Olivia\"], [\"Did I talk to Eva, Olivia on 2015/07/31?\", \"yes\"], [\"Did I talk to anyone on 2015/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/02\": {\"dating\": {\"eid\": \"e3202\", \"logical_representation\": [\"2015/08/02\", \"Jaxon\", \"a boba shop\"], \"text_template_based\": \"On 2015/08/02, I took Jaxon on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/08/02\", \"Jaxon\"], [\"where did I go for the date on 2015/08/02\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3549\", \"logical_representation\": [\"2015/08/02\", \"Avery, Piper\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Avery, Piper for 13 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the early afternoon on 2015/08/02?\", \"13 minutes\"], [\"who did I talk to on 2015/08/02?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2015/08/02?\", \"yes\"], [\"Did I talk to anyone on 2015/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3550\", \"logical_representation\": [\"2015/08/02\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I watched a tv series for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/02?\", \"55 minutes\"], [\"what did I watch on tv on 2015/08/02?\", \"a tv series\"], [\"Did I watch tv on 2015/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/30\": {\"hobbies\": {\"eid\": \"e3203\", \"logical_representation\": [\"2015/07/30\", \"I really enjoyed gardening on 2015/07/30\", \"gardening\", \"Nevaeh, Claire\"], \"text_template_based\": \"I really enjoyed gardening on 2015/07/30\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2015/07/30\"], [\"On 2015/07/30, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3545\", \"logical_representation\": [\"2015/07/30\", \"lunch\", \"chinese food\", \"Layla\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2015/08/04\": {\"grocery\": {\"eid\": \"e3204\", \"logical_representation\": [\"2015/08/04\", \"I went grocery shopping. I bought some apricots, cherres, blueberries, coffee, and conditioner, facial wash, mouth wash\", \"apricots, cherres, blueberries\", \"coffee\", \"conditioner, facial wash, mouth wash\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, cherres, blueberries, coffee, and conditioner, facial wash, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/08/04?\", \"apricots, cherres, blueberries, coffee, and conditioner, facial wash, mouth wash\"], [\"what fruits did I buy from the grocery store on 2015/08/04?\", \"apricots, cherres, blueberries\"], [\"what drinks did I buy from the grocery store on 2015/08/04?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2015/08/04?\", \"conditioner, facial wash, mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3552\", \"logical_representation\": [\"2015/08/04\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2015/08/19\": {\"dating\": {\"eid\": \"e3205\", \"logical_representation\": [\"2015/08/19\", \"Ariana\", \"a coffee Shop\"], \"text_template_based\": \"On 2015/08/19, I took Ariana on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/08/19\", \"Ariana\"], [\"where did I go for the date on 2015/08/19\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3575\", \"logical_representation\": [\"2015/08/19\", \"dinner\", \"a burger\", \"Lydia, Nevaeh, Nora, Claire, Kinsley, Piper, Rylee, Eva, Olivia, Avery, Layla, Hazel, Piper\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/08/19\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/08/17\": {\"grocery\": {\"eid\": \"e3206\", \"logical_representation\": [\"2015/08/17\", \"I went grocery shopping with Eva, Hazel, Claire, Layla, Rylee, Nevaeh, Lydia, Piper, Kinsley, Piper, Avery. I bought some mangos, cherres, bananas, milk, tea, sports drinks, and mouth wash, paper towel, toilet paper, conditioner\", \"mangos, cherres, bananas\", \"milk, tea, sports drinks\", \"mouth wash, paper towel, toilet paper, conditioner\", \"Eva, Hazel, Claire, Layla, Rylee, Nevaeh, Lydia, Piper, Kinsley, Piper, Avery\"], \"text_template_based\": \"I went grocery shopping with Eva, Hazel, Claire, Layla, Rylee, Nevaeh, Lydia, Piper, Kinsley, Piper, Avery. I bought some mangos, cherres, bananas, milk, tea, sports drinks, and mouth wash, paper towel, toilet paper, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/08/17?\", \"mangos, cherres, bananas, milk, tea, sports drinks, and mouth wash, paper towel, toilet paper, conditioner\"], [\"what fruits did I buy from the grocery store on 2015/08/17?\", \"mangos, cherres, bananas\"], [\"what drinks did I buy from the grocery store on 2015/08/17?\", \"milk, tea, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2015/08/17?\", \"mouth wash, paper towel, toilet paper, conditioner\"], [\"who was with me at the grocery store on 2015/08/17?\", \"Eva, Hazel, Claire, Layla, Rylee, Nevaeh, Lydia, Piper, Kinsley, Piper, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3570\", \"logical_representation\": [\"2015/08/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/08/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3571\", \"logical_representation\": [\"2015/08/17\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/08/17?\", \"33 minutes\"], [\"what did I read on 2015/08/17?\", \"news\"], [\"Did I read on 2015/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/26\": {\"grocery\": {\"eid\": \"e3207\", \"logical_representation\": [\"2015/08/26\", \"I bought some watermelons, cherres, clementines, raspberries, mango juice, toilet paper, mouthwash, shampoo online.\", \"watermelons, cherres, clementines, raspberries\", \"mango juice\", \"toilet paper, mouthwash, shampoo\", \"Piper, Eva, Avery, Kinsley, Piper, Claire, Rylee, Lydia, Hazel, Layla, Nora, Olivia, Nevaeh\"], \"text_template_based\": \"I bought some watermelons, cherres, clementines, raspberries, mango juice, toilet paper, mouthwash, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/08/26?\", \"watermelons, cherres, clementines, raspberries, mango juice, and toilet paper, mouthwash, shampoo\"], [\"what fruits did I buy online on 2015/08/26?\", \"watermelons, cherres, clementines, raspberries\"], [\"what drinks did I buy online on 2015/08/26?\", \"mango juice\"], [\"what toiletries did I buy online on 2015/08/26?\", \"toilet paper, mouthwash, shampoo\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3589\", \"logical_representation\": [\"2015/08/26\", \"dinner\", \"tacos\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/08/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3590\", \"logical_representation\": [\"2015/08/26\", \"Nevaeh, Olivia, Nora\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Olivia, Nora for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Nora in the morning on 2015/08/26?\", \"45 minutes\"], [\"who did I talk to on 2015/08/26?\", \"Nevaeh, Olivia, Nora\"], [\"Did I talk to Nevaeh, Olivia, Nora on 2015/08/26?\", \"yes\"], [\"Did I talk to anyone on 2015/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3591\", \"logical_representation\": [\"2015/08/26\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/08/26?\", \"37 minutes\"], [\"what did I read on 2015/08/26?\", \"social media\"], [\"Did I read on 2015/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/29\": {\"grocery\": {\"eid\": \"e3208\", \"logical_representation\": [\"2015/08/29\", \"I went grocery shopping. I bought some peaches, guava, raspberries, clementines, milk, mango juice, soda, and mouthwash, mouth wash\", \"peaches, guava, raspberries, clementines\", \"milk, mango juice, soda\", \"mouthwash, mouth wash\", \"Avery, Kinsley, Lydia, Hazel, Olivia, Claire, Nevaeh, Rylee, Layla, Piper, Eva, Piper\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, guava, raspberries, clementines, milk, mango juice, soda, and mouthwash, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/08/29?\", \"peaches, guava, raspberries, clementines, milk, mango juice, soda, and mouthwash, mouth wash\"], [\"what fruits did I buy from the grocery store on 2015/08/29?\", \"peaches, guava, raspberries, clementines\"], [\"what drinks did I buy from the grocery store on 2015/08/29?\", \"milk, mango juice, soda\"], [\"what toiletries did I buy from the grocery store on 2015/08/29?\", \"mouthwash, mouth wash\"]], \"multihop_qa_pairs\": []}}, \"2015/08/31\": {\"grocery\": {\"eid\": \"e3209\", \"logical_representation\": [\"2015/08/31\", \"I went grocery shopping with Andrew, Carter, Emily. I bought some cherres, blackberries, bananas, apples, chocolate milk, sports drinks, tea, coffee, and mouth wash, shampoo, facial wash\", \"cherres, blackberries, bananas, apples\", \"chocolate milk, sports drinks, tea, coffee\", \"mouth wash, shampoo, facial wash\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I went grocery shopping with Andrew, Carter, Emily. I bought some cherres, blackberries, bananas, apples, chocolate milk, sports drinks, tea, coffee, and mouth wash, shampoo, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/08/31?\", \"cherres, blackberries, bananas, apples, chocolate milk, sports drinks, tea, coffee, and mouth wash, shampoo, facial wash\"], [\"what fruits did I buy from the grocery store on 2015/08/31?\", \"cherres, blackberries, bananas, apples\"], [\"what drinks did I buy from the grocery store on 2015/08/31?\", \"chocolate milk, sports drinks, tea, coffee\"], [\"what toiletries did I buy from the grocery store on 2015/08/31?\", \"mouth wash, shampoo, facial wash\"], [\"who was with me at the grocery store on 2015/08/31?\", \"Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3595\", \"logical_representation\": [\"2015/08/31\", \"Kinsley, Claire\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Kinsley, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire in the early afternoon on 2015/08/31?\", \"32 minutes\"], [\"who did I talk to on 2015/08/31?\", \"Kinsley, Claire\"], [\"Did I talk to Kinsley, Claire on 2015/08/31?\", \"yes\"], [\"Did I talk to anyone on 2015/08/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/06\": {\"dating\": {\"eid\": \"e3210\", \"logical_representation\": [\"2015/09/06\", \"Silas\", \"a park\"], \"text_template_based\": \"On 2015/09/06, I took Silas on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/09/06\", \"Silas\"], [\"where did I go for the date on 2015/09/06\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3604\", \"logical_representation\": [\"2015/09/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/09/06?\", \"Kayden\"], [\"what did I eat for breakfast on 2015/09/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2015/09/21\": {\"hobbies\": {\"eid\": \"e3211\", \"logical_representation\": [\"2015/09/21\", \"I spent time yoga on 2015/09/21 with Carter, Andrew, Emily.\", \"yoga\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I spent time yoga on 2015/09/21 with Carter, Andrew, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Carter, Andrew, Emily?\", \"2015/09/21\"], [\"On 2015/09/21, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2015/09/21?\", \"Carter, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3623\", \"logical_representation\": [\"2015/09/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/09/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3624\", \"logical_representation\": [\"2015/09/21\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/21\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2015/09/23\": {\"grocery\": {\"eid\": \"e3212\", \"logical_representation\": [\"2015/09/23\", \"I went grocery shopping with Claire, Eva, Nevaeh, Nora, Layla, Avery. I bought some blueberries, mangos, watermelons, oranges, sports drinks, mango juice, tea, and toothbrush, conditioner, body lotion\", \"blueberries, mangos, watermelons, oranges\", \"sports drinks, mango juice, tea\", \"toothbrush, conditioner, body lotion\", \"Claire, Eva, Nevaeh, Nora, Layla, Avery\"], \"text_template_based\": \"I went grocery shopping with Claire, Eva, Nevaeh, Nora, Layla, Avery. I bought some blueberries, mangos, watermelons, oranges, sports drinks, mango juice, tea, and toothbrush, conditioner, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/09/23?\", \"blueberries, mangos, watermelons, oranges, sports drinks, mango juice, tea, and toothbrush, conditioner, body lotion\"], [\"what fruits did I buy from the grocery store on 2015/09/23?\", \"blueberries, mangos, watermelons, oranges\"], [\"what drinks did I buy from the grocery store on 2015/09/23?\", \"sports drinks, mango juice, tea\"], [\"what toiletries did I buy from the grocery store on 2015/09/23?\", \"toothbrush, conditioner, body lotion\"], [\"who was with me at the grocery store on 2015/09/23?\", \"Claire, Eva, Nevaeh, Nora, Layla, Avery\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3626\", \"logical_representation\": [\"2015/09/23\", \"lunch\", \"sandwich\", \"Kinsley, Nora\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/09/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3627\", \"logical_representation\": [\"2015/09/23\", \"Piper, Rylee\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee for 48 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the late afternoon on 2015/09/23?\", \"48 minutes\"], [\"who did I talk to on 2015/09/23?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2015/09/23?\", \"yes\"], [\"Did I talk to anyone on 2015/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3628\", \"logical_representation\": [\"2015/09/23\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/23?\", \"9 minutes\"], [\"what did I watch on tv on 2015/09/23?\", \"news\"], [\"Did I watch tv on 2015/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/28\": {\"dating\": {\"eid\": \"e3213\", \"logical_representation\": [\"2015/09/28\", \"Mike\", \"a park\"], \"text_template_based\": \"I went on a date with Mike on 2015/09/28 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/09/28\", \"Mike\"], [\"where did I go for the date on 2015/09/28\", \"a park\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3634\", \"logical_representation\": [\"2015/09/28\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/28?\", \"36 minutes\"], [\"what did I watch on tv on 2015/09/28?\", \"news\"], [\"Did I watch tv on 2015/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/29\": {\"hobbies\": {\"eid\": \"e3214\", \"logical_representation\": [\"2015/09/29\", \"I spent time gardening on 2015/09/29 with Emily, Kayden.\", \"gardening\", \"Emily, Kayden\"], \"text_template_based\": \"I spent time gardening on 2015/09/29 with Emily, Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Emily, Kayden?\", \"2015/09/29\"], [\"On 2015/09/29, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2015/09/29?\", \"Emily, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3635\", \"logical_representation\": [\"2015/09/29\", \"biking\"], \"text_template_based\": \"I did biking on 2015/09/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/29?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3636\", \"logical_representation\": [\"2015/09/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Benjamin\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3637\", \"logical_representation\": [\"2015/09/29\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/29?\", \"34 minutes\"], [\"what did I watch on tv on 2015/09/29?\", \"news\"], [\"Did I watch tv on 2015/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/01\": {\"hobbies\": {\"eid\": \"e3215\", \"logical_representation\": [\"2015/10/01\", \"I spent some time working out on 2015/10/01.\", \"working out\", \"Carter, Kayden\"], \"text_template_based\": \"I spent some time working out on 2015/10/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2015/10/01\"], [\"On 2015/10/01, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3640\", \"logical_representation\": [\"2015/10/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/10/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2015/10/11\": {\"grocery\": {\"eid\": \"e3216\", \"logical_representation\": [\"2015/10/11\", \"I bought some mandarins, guava, guava juice, pineapple juice, mineral water, milk, mouthwash online.\", \"mandarins, guava\", \"guava juice, pineapple juice, mineral water, milk\", \"mouthwash\", \"Rylee, Claire, Nora, Nevaeh, Hazel\"], \"text_template_based\": \"I bought some mandarins, guava, guava juice, pineapple juice, mineral water, milk, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/10/11?\", \"mandarins, guava, guava juice, pineapple juice, mineral water, milk, and mouthwash\"], [\"what fruits did I buy online on 2015/10/11?\", \"mandarins, guava\"], [\"what drinks did I buy online on 2015/10/11?\", \"guava juice, pineapple juice, mineral water, milk\"], [\"what toiletries did I buy online on 2015/10/11?\", \"mouthwash\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3653\", \"logical_representation\": [\"2015/10/11\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/10/11?\", \"38 minutes\"], [\"what did I read on 2015/10/11?\", \"a book\"], [\"Did I read on 2015/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/19\": {\"dating\": {\"eid\": \"e3217\", \"logical_representation\": [\"2015/10/19\", \"Mateo\", \"a restaurant\"], \"text_template_based\": \"On 2015/10/19, I took Mateo on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/10/19\", \"Mateo\"], [\"where did I go for the date on 2015/10/19\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3668\", \"logical_representation\": [\"2015/10/19\", \"a documentary\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/19?\", \"55 minutes\"], [\"what did I watch on tv on 2015/10/19?\", \"a documentary\"], [\"Did I watch tv on 2015/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/26\": {\"dating\": {\"eid\": \"e3218\", \"logical_representation\": [\"2015/10/26\", \"Madelyn\", \"a park\"], \"text_template_based\": \"I went on a date with Madelyn on 2015/10/26 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/10/26\", \"Madelyn\"], [\"where did I go for the date on 2015/10/26\", \"a park\"]], \"multihop_qa_pairs\": []}}, \"2015/10/22\": {\"grocery\": {\"eid\": \"e3219\", \"logical_representation\": [\"2015/10/22\", \"I went grocery shopping. I bought some nectarines, guava, pineapples, watermelons, mango juice, tea, milk, chocolate milk, and mouthwash, shampoo\", \"nectarines, guava, pineapples, watermelons\", \"mango juice, tea, milk, chocolate milk\", \"mouthwash, shampoo\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some nectarines, guava, pineapples, watermelons, mango juice, tea, milk, chocolate milk, and mouthwash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/10/22?\", \"nectarines, guava, pineapples, watermelons, mango juice, tea, milk, chocolate milk, and mouthwash, shampoo\"], [\"what fruits did I buy from the grocery store on 2015/10/22?\", \"nectarines, guava, pineapples, watermelons\"], [\"what drinks did I buy from the grocery store on 2015/10/22?\", \"mango juice, tea, milk, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2015/10/22?\", \"mouthwash, shampoo\"]], \"multihop_qa_pairs\": []}}, \"2015/10/27\": {\"grocery\": {\"eid\": \"e3220\", \"logical_representation\": [\"2015/10/27\", \"I bought some oranges, raspberries, strawberries, pears, soda, guava juice, mango juice, shaving cream online.\", \"oranges, raspberries, strawberries, pears\", \"soda, guava juice, mango juice\", \"shaving cream\", \"Piper, Claire, Lydia, Nevaeh, Eva, Layla, Nora, Hazel, Avery\"], \"text_template_based\": \"I bought some oranges, raspberries, strawberries, pears, soda, guava juice, mango juice, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/10/27?\", \"oranges, raspberries, strawberries, pears, soda, guava juice, mango juice, and shaving cream\"], [\"what fruits did I buy online on 2015/10/27?\", \"oranges, raspberries, strawberries, pears\"], [\"what drinks did I buy online on 2015/10/27?\", \"soda, guava juice, mango juice\"], [\"what toiletries did I buy online on 2015/10/27?\", \"shaving cream\"]], \"multihop_qa_pairs\": []}}, \"2015/11/09\": {\"dating\": {\"eid\": \"e3221\", \"logical_representation\": [\"2015/11/09\", \"Hunter\", \"a restaurant\"], \"text_template_based\": \"On 2015/11/09, I took Hunter on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/11/09\", \"Hunter\"], [\"where did I go for the date on 2015/11/09\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3700\", \"logical_representation\": [\"2015/11/09\", \"Olivia, Avery, Piper, Rylee\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Olivia, Avery, Piper, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Piper, Rylee in the late afternoon on 2015/11/09?\", \"30 minutes\"], [\"who did I talk to on 2015/11/09?\", \"Olivia, Avery, Piper, Rylee\"], [\"Did I talk to Olivia, Avery, Piper, Rylee on 2015/11/09?\", \"yes\"], [\"Did I talk to anyone on 2015/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/19\": {\"bake\": {\"eid\": \"e3222\", \"logical_representation\": [\"2015/11/19\", \"I really enjoyed baking gluten-free apple rose tart, fig tarte tatin, birthday cupcakes with white wine buttercream on 2015/11/19 with Piper, Olivia, Kinsley, Hazel at my place\", \"bake\", \"gluten-free apple rose tart, fig tarte tatin, birthday cupcakes with white wine buttercream\", \"Piper, Olivia, Kinsley, Hazel\", \"my place\"], \"text_template_based\": \"I really enjoyed baking gluten-free apple rose tart, fig tarte tatin, birthday cupcakes with white wine buttercream on 2015/11/19 with Piper, Olivia, Kinsley, Hazel at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  gluten-free apple rose tart, fig tarte tatin, birthday cupcakes with white wine buttercream with Piper, Olivia, Kinsley, Hazel?\", \"2015/11/19\"], [\"what did I  on 2015/11/19?\", \"gluten-free apple rose tart, fig tarte tatin, birthday cupcakes with white wine buttercream\"], [\"who was I with when I  gluten-free apple rose tart, fig tarte tatin, birthday cupcakes with white wine buttercream on 2015/11/19?\", \"Piper, Olivia, Kinsley, Hazel\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3715\", \"logical_representation\": [\"2015/11/19\", \"lunch\", \"fish and chips\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had fish and chips for lunch with Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/11/19?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for lunch on 2015/11/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2015/11/24\": {\"dating\": {\"eid\": \"e3223\", \"logical_representation\": [\"2015/11/24\", \"Jonathan\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Jonathan on 2015/11/24 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/11/24\", \"Jonathan\"], [\"where did I go for the date on 2015/11/24\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3723\", \"logical_representation\": [\"2015/11/24\", \"lunch\", \"sandwich\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had sandwich for lunch with Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/11/24?\", \"Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2015/11/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3724\", \"logical_representation\": [\"2015/11/24\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had tacos for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/11/24?\", \"Kayden\"], [\"what did I eat for dinner on 2015/11/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3725\", \"logical_representation\": [\"2015/11/24\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/11/24?\", \"55 minutes\"], [\"what did I read on 2015/11/24?\", \"a book\"], [\"Did I read on 2015/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/04\": {\"dating\": {\"eid\": \"e3224\", \"logical_representation\": [\"2015/12/04\", \"Silas\", \"a restaurant\"], \"text_template_based\": \"On 2015/12/04, I took Silas on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/12/04\", \"Silas\"], [\"where did I go for the date on 2015/12/04\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3744\", \"logical_representation\": [\"2015/12/04\", \"breakfast\", \"oatmeal\", \"Nevaeh, Piper, Lydia, Nora, Piper, Layla, Avery, Rylee\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3745\", \"logical_representation\": [\"2015/12/04\", \"dinner\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/04\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/12/07\": {\"dating\": {\"eid\": \"e3225\", \"logical_representation\": [\"2015/12/07\", \"Lydia\", \"a park\"], \"text_template_based\": \"On 2015/12/07, I took Lydia on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/12/07\", \"Lydia\"], [\"where did I go for the date on 2015/12/07\", \"a park\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3752\", \"logical_representation\": [\"2015/12/07\", \"lunch\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/12/07?\", \"Andrew\"], [\"what did I eat for lunch on 2015/12/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3753\", \"logical_representation\": [\"2015/12/07\", \"Rylee, Nevaeh, Layla, Eva\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Rylee, Nevaeh, Layla, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Layla, Eva late in the evening on 2015/12/07?\", \"15 minutes\"], [\"who did I talk to on 2015/12/07?\", \"Rylee, Nevaeh, Layla, Eva\"], [\"Did I talk to Rylee, Nevaeh, Layla, Eva on 2015/12/07?\", \"yes\"], [\"Did I talk to anyone on 2015/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3754\", \"logical_representation\": [\"2015/12/07\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/12/07?\", \"53 minutes\"], [\"what did I read on 2015/12/07?\", \"a book\"], [\"Did I read on 2015/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/05\": {\"grocery\": {\"eid\": \"e3226\", \"logical_representation\": [\"2015/12/05\", \"I bought some pears, clementines, oranges, apples, coffee, mouthwash, body lotion, mouth wash, shaving cream from the grocery store. I saw Lydia, Piper, Avery, Layla, Olivia, Piper, Nevaeh, Kinsley at the grocery store.\", \"pears, clementines, oranges, apples\", \"coffee\", \"mouthwash, body lotion, mouth wash, shaving cream\", \"Lydia, Piper, Avery, Layla, Olivia, Piper, Nevaeh, Kinsley\"], \"text_template_based\": \"I bought some pears, clementines, oranges, apples, coffee, mouthwash, body lotion, mouth wash, shaving cream from the grocery store. I saw Lydia, Piper, Avery, Layla, Olivia, Piper, Nevaeh, Kinsley at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/12/05?\", \"pears, clementines, oranges, apples, coffee, and mouthwash, body lotion, mouth wash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2015/12/05?\", \"pears, clementines, oranges, apples\"], [\"what drinks did I buy from the grocery store on 2015/12/05?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2015/12/05?\", \"mouthwash, body lotion, mouth wash, shaving cream\"], [\"who did I see at the grocery store on 2015/12/05?\", \"Lydia, Piper, Avery, Layla, Olivia, Piper, Nevaeh, Kinsley\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3746\", \"logical_representation\": [\"2015/12/05\", \"breakfast\", \"cereals\", \"Benjamin, Willow\"], \"text_template_based\": \"I had cereals for breakfast with Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/05?\", \"Benjamin, Willow\"], [\"what did I eat for breakfast on 2015/12/05\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3747\", \"logical_representation\": [\"2015/12/05\", \"lunch\", \"a burger\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3748\", \"logical_representation\": [\"2015/12/05\", \"Avery, Layla, Rylee\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Avery, Layla, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Rylee during lunch hours on 2015/12/05?\", \"9 minutes\"], [\"who did I talk to on 2015/12/05?\", \"Avery, Layla, Rylee\"], [\"Did I talk to Avery, Layla, Rylee on 2015/12/05?\", \"yes\"], [\"Did I talk to anyone on 2015/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3749\", \"logical_representation\": [\"2015/12/05\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/12/05?\", \"17 minutes\"], [\"what did I read on 2015/12/05?\", \"a book\"], [\"Did I read on 2015/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/08\": {\"grocery\": {\"eid\": \"e3227\", \"logical_representation\": [\"2015/12/08\", \"I bought some peaches, apricots, mandarins, oranges, milk, shampoo, conditioner, toilet paper, shaving cream online.\", \"peaches, apricots, mandarins, oranges\", \"milk\", \"shampoo, conditioner, toilet paper, shaving cream\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I bought some peaches, apricots, mandarins, oranges, milk, shampoo, conditioner, toilet paper, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2015/12/08?\", \"peaches, apricots, mandarins, oranges, milk, and shampoo, conditioner, toilet paper, shaving cream\"], [\"what fruits did I buy online on 2015/12/08?\", \"peaches, apricots, mandarins, oranges\"], [\"what drinks did I buy online on 2015/12/08?\", \"milk\"], [\"what toiletries did I buy online on 2015/12/08?\", \"shampoo, conditioner, toilet paper, shaving cream\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3755\", \"logical_representation\": [\"2015/12/08\", \"breakfast\", \"oatmeal\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/08\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3756\", \"logical_representation\": [\"2015/12/08\", \"news\", \"8 minutes\"], \"text_template_based\": \"I watched news for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/08?\", \"8 minutes\"], [\"what did I watch on tv on 2015/12/08?\", \"news\"], [\"Did I watch tv on 2015/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/12\": {\"dating\": {\"eid\": \"e3228\", \"logical_representation\": [\"2015/12/12\", \"Benjamin\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Benjamin on 2015/12/12 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/12/12\", \"Benjamin\"], [\"where did I go for the date on 2015/12/12\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3764\", \"logical_representation\": [\"2015/12/12\", \"lunch\", \"fish and chips\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3765\", \"logical_representation\": [\"2015/12/12\", \"Nora, Hazel, Kinsley\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Nora, Hazel, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel, Kinsley in the morning on 2015/12/12?\", \"15 minutes\"], [\"who did I talk to on 2015/12/12?\", \"Nora, Hazel, Kinsley\"], [\"Did I talk to Nora, Hazel, Kinsley on 2015/12/12?\", \"yes\"], [\"Did I talk to anyone on 2015/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/15\": {\"dating\": {\"eid\": \"e3229\", \"logical_representation\": [\"2015/12/15\", \"Jaxson\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Jaxson on 2015/12/15 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/12/15\", \"Jaxson\"], [\"where did I go for the date on 2015/12/15\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3767\", \"logical_representation\": [\"2015/12/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3768\", \"logical_representation\": [\"2015/12/15\", \"lunch\", \"a burger\", \"Avery, Willow\"], \"text_template_based\": \"I had a burger for lunch with Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/12/15?\", \"Avery, Willow\"], [\"what did I eat for lunch on 2015/12/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3769\", \"logical_representation\": [\"2015/12/15\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/12/15?\", \"34 minutes\"], [\"what did I read on 2015/12/15?\", \"news\"], [\"Did I read on 2015/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/11\": {\"grocery\": {\"eid\": \"e3230\", \"logical_representation\": [\"2015/12/11\", \"I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some apples, pears, mandarins, soda, sports drinks, tea, chocolate milk, and toothbrush, mouth wash\", \"apples, pears, mandarins\", \"soda, sports drinks, tea, chocolate milk\", \"toothbrush, mouth wash\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I went grocery shopping with Kayden, Andrew, Carter, Emily. I bought some apples, pears, mandarins, soda, sports drinks, tea, chocolate milk, and toothbrush, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/12/11?\", \"apples, pears, mandarins, soda, sports drinks, tea, chocolate milk, and toothbrush, mouth wash\"], [\"what fruits did I buy from the grocery store on 2015/12/11?\", \"apples, pears, mandarins\"], [\"what drinks did I buy from the grocery store on 2015/12/11?\", \"soda, sports drinks, tea, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2015/12/11?\", \"toothbrush, mouth wash\"], [\"who was with me at the grocery store on 2015/12/11?\", \"Kayden, Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3761\", \"logical_representation\": [\"2015/12/11\", \"lunch\", \"indian food\", \"Nevaeh\"], \"text_template_based\": \"I had lunch with Nevaeh. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/12/11?\", \"Nevaeh\"], [\"what did I eat for lunch on 2015/12/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3762\", \"logical_representation\": [\"2015/12/11\", \"dinner\", \"fish and chips\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3763\", \"logical_representation\": [\"2015/12/11\", \"Olivia, Nora, Layla\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Olivia, Nora, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Layla in the morning on 2015/12/11?\", \"14 minutes\"], [\"who did I talk to on 2015/12/11?\", \"Olivia, Nora, Layla\"], [\"Did I talk to Olivia, Nora, Layla on 2015/12/11?\", \"yes\"], [\"Did I talk to anyone on 2015/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/25\": {\"dating\": {\"eid\": \"e3231\", \"logical_representation\": [\"2015/12/25\", \"Aaliyah\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Aaliyah on 2015/12/25 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/12/25\", \"Aaliyah\"], [\"where did I go for the date on 2015/12/25\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3786\", \"logical_representation\": [\"2015/12/25\", \"Layla, Eva, Nora, Hazel\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Layla, Eva, Nora, Hazel for 52 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Nora, Hazel late in the evening on 2015/12/25?\", \"52 minutes\"], [\"who did I talk to on 2015/12/25?\", \"Layla, Eva, Nora, Hazel\"], [\"Did I talk to Layla, Eva, Nora, Hazel on 2015/12/25?\", \"yes\"], [\"Did I talk to anyone on 2015/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3787\", \"logical_representation\": [\"2015/12/25\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/12/25?\", \"41 minutes\"], [\"what did I read on 2015/12/25?\", \"news\"], [\"Did I read on 2015/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/28\": {\"dating\": {\"eid\": \"e3232\", \"logical_representation\": [\"2015/12/28\", \"Elena\", \"a park\"], \"text_template_based\": \"I went on a date with Elena on 2015/12/28 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2015/12/28\", \"Elena\"], [\"where did I go for the date on 2015/12/28\", \"a park\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3794\", \"logical_representation\": [\"2015/12/28\", \"lunch\", \"sandwich\", \"Avery, Jackson\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3795\", \"logical_representation\": [\"2015/12/28\", \"Olivia, Piper, Rylee, Eva\", \"in the early evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Olivia, Piper, Rylee, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Rylee, Eva in the early evening on 2015/12/28?\", \"46 minutes\"], [\"who did I talk to on 2015/12/28?\", \"Olivia, Piper, Rylee, Eva\"], [\"Did I talk to Olivia, Piper, Rylee, Eva on 2015/12/28?\", \"yes\"], [\"Did I talk to anyone on 2015/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3796\", \"logical_representation\": [\"2015/12/28\", \"news\", \"39 minutes\"], \"text_template_based\": \"I watched news for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/28?\", \"39 minutes\"], [\"what did I watch on tv on 2015/12/28?\", \"news\"], [\"Did I watch tv on 2015/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/27\": {\"hobbies\": {\"eid\": \"e3233\", \"logical_representation\": [\"2015/12/27\", \"I spent time meditation on 2015/12/27 with Nevaeh, Piper, Eva.\", \"meditation\", \"Nevaeh, Piper, Eva\"], \"text_template_based\": \"I spent time meditation on 2015/12/27 with Nevaeh, Piper, Eva.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Nevaeh, Piper, Eva?\", \"2015/12/27\"], [\"On 2015/12/27, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2015/12/27?\", \"Nevaeh, Piper, Eva\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3234\", \"logical_representation\": [\"2015/12/27\", \"I bought some strawberries, coffee, mouth wash from the grocery store. I saw Andrew, Emily, Carter, Kayden at the grocery store.\", \"strawberries\", \"coffee\", \"mouth wash\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I bought some strawberries, coffee, mouth wash from the grocery store. I saw Andrew, Emily, Carter, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2015/12/27?\", \"strawberries, coffee, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2015/12/27?\", \"strawberries\"], [\"what drinks did I buy from the grocery store on 2015/12/27?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2015/12/27?\", \"mouth wash\"], [\"who did I see at the grocery store on 2015/12/27?\", \"Andrew, Emily, Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3790\", \"logical_representation\": [\"2015/12/27\", \"biking\"], \"text_template_based\": \"I did biking on 2015/12/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/27?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3791\", \"logical_representation\": [\"2015/12/27\", \"breakfast\", \"toast and cheese\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had toast and cheese for breakfast with Avery, Jackson, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/27?\", \"Avery, Jackson, Willow, Benjamin\"], [\"what did I eat for breakfast on 2015/12/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3792\", \"logical_representation\": [\"2015/12/27\", \"lunch\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3793\", \"logical_representation\": [\"2015/12/27\", \"dinner\", \"chinese food\", \"Avery\"], \"text_template_based\": \"I had chinese food for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/12/27?\", \"Avery\"], [\"what did I eat for dinner on 2015/12/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2015/01/01\": {\"breakfast\": {\"eid\": \"e3235\", \"logical_representation\": [\"2015/01/01\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden, Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/01/01?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for breakfast on 2015/01/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2015/01/02\": {\"lunch\": {\"eid\": \"e3236\", \"logical_representation\": [\"2015/01/02\", \"lunch\", \"fish and chips\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Kayden. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/01/02?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for lunch on 2015/01/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3237\", \"logical_representation\": [\"2015/01/02\", \"dinner\", \"indian food\", \"Hazel, Nora\"], \"text_template_based\": \"I had dinner with Hazel, Nora. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/01/02?\", \"Hazel, Nora\"], [\"what did I eat for dinner on 2015/01/02\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2015/01/03\": {\"read\": {\"eid\": \"e3238\", \"logical_representation\": [\"2015/01/03\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/01/03?\", \"55 minutes\"], [\"what did I read on 2015/01/03?\", \"news\"], [\"Did I read on 2015/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3239\", \"logical_representation\": [\"2015/01/03\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I watched a movie for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/03?\", \"45 minutes\"], [\"what did I watch on tv on 2015/01/03?\", \"a movie\"], [\"Did I watch tv on 2015/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/04\": {\"chat0\": {\"eid\": \"e3240\", \"logical_representation\": [\"2015/01/04\", \"Claire, Rylee, Kinsley, Layla\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I talked to Claire, Rylee, Kinsley, Layla for 13 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Kinsley, Layla during lunch hours on 2015/01/04?\", \"13 minutes\"], [\"who did I talk to on 2015/01/04?\", \"Claire, Rylee, Kinsley, Layla\"], [\"Did I talk to Claire, Rylee, Kinsley, Layla on 2015/01/04?\", \"yes\"], [\"Did I talk to anyone on 2015/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/06\": {\"lunch\": {\"eid\": \"e3242\", \"logical_representation\": [\"2015/01/06\", \"lunch\", \"indian food\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/01/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3243\", \"logical_representation\": [\"2015/01/06\", \"Eva, Piper, Kinsley\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Eva, Piper, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Kinsley in the late afternoon on 2015/01/06?\", \"12 minutes\"], [\"who did I talk to on 2015/01/06?\", \"Eva, Piper, Kinsley\"], [\"Did I talk to Eva, Piper, Kinsley on 2015/01/06?\", \"yes\"], [\"Did I talk to anyone on 2015/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/08\": {\"dinner\": {\"eid\": \"e3247\", \"logical_representation\": [\"2015/01/08\", \"dinner\", \"a burger\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/01/08\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/01/10\": {\"breakfast\": {\"eid\": \"e3248\", \"logical_representation\": [\"2015/01/10\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/01/10\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3249\", \"logical_representation\": [\"2015/01/10\", \"lunch\", \"steak\", \"Willow, Jackson\"], \"text_template_based\": \"I had steak for lunch with Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/01/10?\", \"Willow, Jackson\"], [\"what did I eat for lunch on 2015/01/10\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2015/01/11\": {\"dinner\": {\"eid\": \"e3250\", \"logical_representation\": [\"2015/01/11\", \"dinner\", \"a burger\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Kayden, Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/01/11?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2015/01/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3251\", \"logical_representation\": [\"2015/01/11\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/01/11?\", \"7 minutes\"], [\"what did I read on 2015/01/11?\", \"news\"], [\"Did I read on 2015/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/13\": {\"chat0\": {\"eid\": \"e3254\", \"logical_representation\": [\"2015/01/13\", \"Hazel, Nora, Layla, Eva\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Hazel, Nora, Layla, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Layla, Eva in the late afternoon on 2015/01/13?\", \"49 minutes\"], [\"who did I talk to on 2015/01/13?\", \"Hazel, Nora, Layla, Eva\"], [\"Did I talk to Hazel, Nora, Layla, Eva on 2015/01/13?\", \"yes\"], [\"Did I talk to anyone on 2015/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3255\", \"logical_representation\": [\"2015/01/13\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/13?\", \"22 minutes\"], [\"what did I watch on tv on 2015/01/13?\", \"a tv series\"], [\"Did I watch tv on 2015/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/14\": {\"chat0\": {\"eid\": \"e3256\", \"logical_representation\": [\"2015/01/14\", \"Olivia, Rylee, Kinsley, Nora\", \"in the morning\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Olivia, Rylee, Kinsley, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee, Kinsley, Nora in the morning on 2015/01/14?\", \"42 minutes\"], [\"who did I talk to on 2015/01/14?\", \"Olivia, Rylee, Kinsley, Nora\"], [\"Did I talk to Olivia, Rylee, Kinsley, Nora on 2015/01/14?\", \"yes\"], [\"Did I talk to anyone on 2015/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/15\": {\"exercise\": {\"eid\": \"e3257\", \"logical_representation\": [\"2015/01/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/01/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3258\", \"logical_representation\": [\"2015/01/15\", \"Eva, Nora\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Eva, Nora for 11 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora late in the evening on 2015/01/15?\", \"11 minutes\"], [\"who did I talk to on 2015/01/15?\", \"Eva, Nora\"], [\"Did I talk to Eva, Nora on 2015/01/15?\", \"yes\"], [\"Did I talk to anyone on 2015/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/18\": {\"exercise\": {\"eid\": \"e3259\", \"logical_representation\": [\"2015/01/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/01/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3260\", \"logical_representation\": [\"2015/01/18\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/01/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3261\", \"logical_representation\": [\"2015/01/18\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/01/18?\", \"12 minutes\"], [\"what did I read on 2015/01/18?\", \"a book\"], [\"Did I read on 2015/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/20\": {\"social media\": {\"eid\": \"e3262\", \"logical_representation\": [\"2015/01/20\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/01/20?\", \"40 minutes\"], [\"what did I read on 2015/01/20?\", \"social media\"], [\"Did I read on 2015/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/22\": {\"chat0\": {\"eid\": \"e3265\", \"logical_representation\": [\"2015/01/22\", \"Piper, Piper, Eva\", \"during lunch hours\", \"45 minutes\"], \"text_template_based\": \"I talked to Piper, Piper, Eva for 45 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Eva during lunch hours on 2015/01/22?\", \"45 minutes\"], [\"who did I talk to on 2015/01/22?\", \"Piper, Piper, Eva\"], [\"Did I talk to Piper, Piper, Eva on 2015/01/22?\", \"yes\"], [\"Did I talk to anyone on 2015/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/24\": {\"exercise\": {\"eid\": \"e3266\", \"logical_representation\": [\"2015/01/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/01/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/01/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3267\", \"logical_representation\": [\"2015/01/24\", \"Nora, Nevaeh, Rylee\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I talked to Nora, Nevaeh, Rylee for 39 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Rylee in the early evening on 2015/01/24?\", \"39 minutes\"], [\"who did I talk to on 2015/01/24?\", \"Nora, Nevaeh, Rylee\"], [\"Did I talk to Nora, Nevaeh, Rylee on 2015/01/24?\", \"yes\"], [\"Did I talk to anyone on 2015/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/26\": {\"breakfast\": {\"eid\": \"e3269\", \"logical_representation\": [\"2015/01/26\", \"breakfast\", \"toast and cheese\", \"Hazel, Nora, Avery, Rylee, Olivia, Claire, Eva, Piper\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/01/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3270\", \"logical_representation\": [\"2015/01/26\", \"Nevaeh, Nora\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Nora for 11 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora in the early afternoon on 2015/01/26?\", \"11 minutes\"], [\"who did I talk to on 2015/01/26?\", \"Nevaeh, Nora\"], [\"Did I talk to Nevaeh, Nora on 2015/01/26?\", \"yes\"], [\"Did I talk to anyone on 2015/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/28\": {\"lunch\": {\"eid\": \"e3271\", \"logical_representation\": [\"2015/01/28\", \"lunch\", \"a burger\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had a burger for lunch with Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/01/28?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for lunch on 2015/01/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3272\", \"logical_representation\": [\"2015/01/28\", \"Claire\", \"during lunch hours\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2015/01/28?\", \"10 minutes\"], [\"who did I talk to on 2015/01/28?\", \"Claire\"], [\"Did I talk to Claire on 2015/01/28?\", \"yes\"], [\"Did I talk to anyone on 2015/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/29\": {\"breakfast\": {\"eid\": \"e3273\", \"logical_representation\": [\"2015/01/29\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/01/29?\", \"Carter\"], [\"what did I eat for breakfast on 2015/01/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3274\", \"logical_representation\": [\"2015/01/29\", \"a movie\", \"20 minutes\"], \"text_template_based\": \"I watched a movie for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/01/29?\", \"20 minutes\"], [\"what did I watch on tv on 2015/01/29?\", \"a movie\"], [\"Did I watch tv on 2015/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/01/30\": {\"chat0\": {\"eid\": \"e3275\", \"logical_representation\": [\"2015/01/30\", \"Lydia\", \"in the morning\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2015/01/30?\", \"36 minutes\"], [\"who did I talk to on 2015/01/30?\", \"Lydia\"], [\"Did I talk to Lydia on 2015/01/30?\", \"yes\"], [\"Did I talk to anyone on 2015/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/01\": {\"lunch\": {\"eid\": \"e3279\", \"logical_representation\": [\"2015/02/01\", \"lunch\", \"indian food\", \"Kayden, Carter\"], \"text_template_based\": \"I had indian food for lunch with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/02/01?\", \"Kayden, Carter\"], [\"what did I eat for lunch on 2015/02/01\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3280\", \"logical_representation\": [\"2015/02/01\", \"Nora\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2015/02/01?\", \"18 minutes\"], [\"who did I talk to on 2015/02/01?\", \"Nora\"], [\"Did I talk to Nora on 2015/02/01?\", \"yes\"], [\"Did I talk to anyone on 2015/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/03\": {\"exercise\": {\"eid\": \"e3284\", \"logical_representation\": [\"2015/02/03\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/02/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/03?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3285\", \"logical_representation\": [\"2015/02/03\", \"lunch\", \"indian food\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had indian food for lunch with Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/02/03?\", \"Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2015/02/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3286\", \"logical_representation\": [\"2015/02/03\", \"dinner\", \"a burger\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/02/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3287\", \"logical_representation\": [\"2015/02/03\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I watched a documentary for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/03?\", \"52 minutes\"], [\"what did I watch on tv on 2015/02/03?\", \"a documentary\"], [\"Did I watch tv on 2015/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/04\": {\"breakfast\": {\"eid\": \"e3288\", \"logical_representation\": [\"2015/02/04\", \"breakfast\", \"toast and cheese\", \"Nora, Claire, Avery\"], \"text_template_based\": \"I had breakfast with Nora, Claire, Avery. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/02/04?\", \"Nora, Claire, Avery\"], [\"what did I eat for breakfast on 2015/02/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3289\", \"logical_representation\": [\"2015/02/04\", \"Claire\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2015/02/04?\", \"6 minutes\"], [\"who did I talk to on 2015/02/04?\", \"Claire\"], [\"Did I talk to Claire on 2015/02/04?\", \"yes\"], [\"Did I talk to anyone on 2015/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/06\": {\"exercise\": {\"eid\": \"e3291\", \"logical_representation\": [\"2015/02/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/02/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3292\", \"logical_representation\": [\"2015/02/06\", \"Lydia, Rylee, Claire, Olivia\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee, Claire, Olivia for 34 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Claire, Olivia in the early evening on 2015/02/06?\", \"34 minutes\"], [\"who did I talk to on 2015/02/06?\", \"Lydia, Rylee, Claire, Olivia\"], [\"Did I talk to Lydia, Rylee, Claire, Olivia on 2015/02/06?\", \"yes\"], [\"Did I talk to anyone on 2015/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/07\": {\"breakfast\": {\"eid\": \"e3293\", \"logical_representation\": [\"2015/02/07\", \"breakfast\", \"oatmeal\", \"Benjamin\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/02/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3294\", \"logical_representation\": [\"2015/02/07\", \"lunch\", \"chinese food\", \"Andrew, Emily\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2015/02/08\": {\"breakfast\": {\"eid\": \"e3295\", \"logical_representation\": [\"2015/02/08\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Kayden\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/02/08?\", \"Emily, Kayden\"], [\"what did I eat for breakfast on 2015/02/08\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3296\", \"logical_representation\": [\"2015/02/08\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/08?\", \"5 minutes\"], [\"what did I watch on tv on 2015/02/08?\", \"a movie\"], [\"Did I watch tv on 2015/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/10\": {\"exercise\": {\"eid\": \"e3298\", \"logical_representation\": [\"2015/02/10\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/02/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/10?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2015/02/12\": {\"dinner\": {\"eid\": \"e3301\", \"logical_representation\": [\"2015/02/12\", \"dinner\", \"indian food\", \"Lydia, Nora, Eva, Olivia\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/02/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3302\", \"logical_representation\": [\"2015/02/12\", \"a book\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/02/12?\", \"28 minutes\"], [\"what did I read on 2015/02/12?\", \"a book\"], [\"Did I read on 2015/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/13\": {\"dinner\": {\"eid\": \"e3303\", \"logical_representation\": [\"2015/02/13\", \"dinner\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/02/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3304\", \"logical_representation\": [\"2015/02/13\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/02/13?\", \"53 minutes\"], [\"what did I read on 2015/02/13?\", \"news\"], [\"Did I read on 2015/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/15\": {\"lunch\": {\"eid\": \"e3308\", \"logical_representation\": [\"2015/02/15\", \"lunch\", \"a burger\", \"Hazel, Eva, Lydia, Kinsley, Avery, Layla, Rylee, Piper, Nevaeh, Piper, Nora, Olivia, Claire\"], \"text_template_based\": \"I had a burger for lunch with Hazel, Eva, Lydia, Kinsley, Avery, Layla, Rylee, Piper, Nevaeh, Piper, Nora, Olivia, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/02/15?\", \"Hazel, Eva, Lydia, Kinsley, Avery, Layla, Rylee, Piper, Nevaeh, Piper, Nora, Olivia, Claire\"], [\"what did I eat for lunch on 2015/02/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3309\", \"logical_representation\": [\"2015/02/15\", \"Nora\", \"late in the evening\", \"8 minutes\"], \"text_template_based\": \"I talked to Nora for 8 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2015/02/15?\", \"8 minutes\"], [\"who did I talk to on 2015/02/15?\", \"Nora\"], [\"Did I talk to Nora on 2015/02/15?\", \"yes\"], [\"Did I talk to anyone on 2015/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/16\": {\"exercise\": {\"eid\": \"e3310\", \"logical_representation\": [\"2015/02/16\", \"biking\"], \"text_template_based\": \"I did biking on 2015/02/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/02/16?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2015/02/17\": {\"chat0\": {\"eid\": \"e3311\", \"logical_representation\": [\"2015/02/17\", \"Layla\", \"in the morning\", \"21 minutes\"], \"text_template_based\": \"I talked to Layla for 21 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2015/02/17?\", \"21 minutes\"], [\"who did I talk to on 2015/02/17?\", \"Layla\"], [\"Did I talk to Layla on 2015/02/17?\", \"yes\"], [\"Did I talk to anyone on 2015/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/18\": {\"breakfast\": {\"eid\": \"e3312\", \"logical_representation\": [\"2015/02/18\", \"breakfast\", \"cereals\", \"Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Carter. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/02/18?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2015/02/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3313\", \"logical_representation\": [\"2015/02/18\", \"lunch\", \"a burger\", \"Nora, Olivia, Rylee, Hazel, Eva, Kinsley, Lydia, Nevaeh\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/18\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/02/20\": {\"dinner\": {\"eid\": \"e3314\", \"logical_representation\": [\"2015/02/20\", \"dinner\", \"pasta\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/02/20\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/02/24\": {\"read\": {\"eid\": \"e3316\", \"logical_representation\": [\"2015/02/24\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/02/24?\", \"20 minutes\"], [\"what did I read on 2015/02/24?\", \"news\"], [\"Did I read on 2015/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/26\": {\"chat0\": {\"eid\": \"e3317\", \"logical_representation\": [\"2015/02/26\", \"Hazel\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2015/02/26?\", \"37 minutes\"], [\"who did I talk to on 2015/02/26?\", \"Hazel\"], [\"Did I talk to Hazel on 2015/02/26?\", \"yes\"], [\"Did I talk to anyone on 2015/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3318\", \"logical_representation\": [\"2015/02/26\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/02/26?\", \"30 minutes\"], [\"what did I read on 2015/02/26?\", \"a book\"], [\"Did I read on 2015/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/02/28\": {\"lunch\": {\"eid\": \"e3323\", \"logical_representation\": [\"2015/02/28\", \"lunch\", \"chinese food\", \"Eva\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/02/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3324\", \"logical_representation\": [\"2015/02/28\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/02/28?\", \"7 minutes\"], [\"what did I watch on tv on 2015/02/28?\", \"a tv series\"], [\"Did I watch tv on 2015/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/01\": {\"lunch\": {\"eid\": \"e3325\", \"logical_representation\": [\"2015/03/01\", \"lunch\", \"a burger\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had a burger for lunch with Benjamin, Jackson, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/03/01?\", \"Benjamin, Jackson, Avery, Willow\"], [\"what did I eat for lunch on 2015/03/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3326\", \"logical_representation\": [\"2015/03/01\", \"a documentary\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/01?\", \"38 minutes\"], [\"what did I watch on tv on 2015/03/01?\", \"a documentary\"], [\"Did I watch tv on 2015/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/02\": {\"lunch\": {\"eid\": \"e3327\", \"logical_representation\": [\"2015/03/02\", \"lunch\", \"chinese food\", \"Emily, Andrew\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/03/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2015/03/17\": {\"exercise\": {\"eid\": \"e3348\", \"logical_representation\": [\"2015/03/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/03/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3349\", \"logical_representation\": [\"2015/03/17\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Nora, Piper, Lydia\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Avery, Nora, Piper, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/03/17?\", \"Avery, Nora, Piper, Lydia\"], [\"what did I eat for breakfast on 2015/03/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3350\", \"logical_representation\": [\"2015/03/17\", \"lunch\", \"indian food\", \"Nora\"], \"text_template_based\": \"I had indian food for lunch with Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/03/17?\", \"Nora\"], [\"what did I eat for lunch on 2015/03/17\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2015/03/18\": {\"dinner\": {\"eid\": \"e3351\", \"logical_representation\": [\"2015/03/18\", \"dinner\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/03/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3352\", \"logical_representation\": [\"2015/03/18\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/18?\", \"50 minutes\"], [\"what did I watch on tv on 2015/03/18?\", \"a tv series\"], [\"Did I watch tv on 2015/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/21\": {\"exercise\": {\"eid\": \"e3356\", \"logical_representation\": [\"2015/03/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/03/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3357\", \"logical_representation\": [\"2015/03/21\", \"a tv series\", \"16 minutes\"], \"text_template_based\": \"I watched a tv series for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/21?\", \"16 minutes\"], [\"what did I watch on tv on 2015/03/21?\", \"a tv series\"], [\"Did I watch tv on 2015/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/22\": {\"dinner\": {\"eid\": \"e3358\", \"logical_representation\": [\"2015/03/22\", \"dinner\", \"chinese food\", \"Avery, Hazel, Rylee, Layla, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/03/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3359\", \"logical_representation\": [\"2015/03/22\", \"Piper, Hazel, Layla, Claire\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Piper, Hazel, Layla, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Layla, Claire in the morning on 2015/03/22?\", \"13 minutes\"], [\"who did I talk to on 2015/03/22?\", \"Piper, Hazel, Layla, Claire\"], [\"Did I talk to Piper, Hazel, Layla, Claire on 2015/03/22?\", \"yes\"], [\"Did I talk to anyone on 2015/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/24\": {\"social media\": {\"eid\": \"e3361\", \"logical_representation\": [\"2015/03/24\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/03/24?\", \"37 minutes\"], [\"what did I read on 2015/03/24?\", \"social media\"], [\"Did I read on 2015/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/25\": {\"chat0\": {\"eid\": \"e3362\", \"logical_representation\": [\"2015/03/25\", \"Nevaeh, Rylee, Kinsley\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee, Kinsley for 9 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Kinsley in the early evening on 2015/03/25?\", \"9 minutes\"], [\"who did I talk to on 2015/03/25?\", \"Nevaeh, Rylee, Kinsley\"], [\"Did I talk to Nevaeh, Rylee, Kinsley on 2015/03/25?\", \"yes\"], [\"Did I talk to anyone on 2015/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/26\": {\"dinner\": {\"eid\": \"e3363\", \"logical_representation\": [\"2015/03/26\", \"dinner\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/03/26\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/03/27\": {\"breakfast\": {\"eid\": \"e3364\", \"logical_representation\": [\"2015/03/27\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/03/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3365\", \"logical_representation\": [\"2015/03/27\", \"Hazel\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Hazel for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2015/03/27?\", \"26 minutes\"], [\"who did I talk to on 2015/03/27?\", \"Hazel\"], [\"Did I talk to Hazel on 2015/03/27?\", \"yes\"], [\"Did I talk to anyone on 2015/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3366\", \"logical_representation\": [\"2015/03/27\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I watched a tv series for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/27?\", \"33 minutes\"], [\"what did I watch on tv on 2015/03/27?\", \"a tv series\"], [\"Did I watch tv on 2015/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/28\": {\"lunch\": {\"eid\": \"e3367\", \"logical_representation\": [\"2015/03/28\", \"lunch\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I had sandwich for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/03/28?\", \"Carter\"], [\"what did I eat for lunch on 2015/03/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2015/03/30\": {\"exercise\": {\"eid\": \"e3369\", \"logical_representation\": [\"2015/03/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/03/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/03/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3370\", \"logical_representation\": [\"2015/03/30\", \"lunch\", \"fish and chips\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/03/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3371\", \"logical_representation\": [\"2015/03/30\", \"Piper\", \"in the late afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Piper for 7 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2015/03/30?\", \"7 minutes\"], [\"who did I talk to on 2015/03/30?\", \"Piper\"], [\"Did I talk to Piper on 2015/03/30?\", \"yes\"], [\"Did I talk to anyone on 2015/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/03/31\": {\"watch tv\": {\"eid\": \"e3372\", \"logical_representation\": [\"2015/03/31\", \"news\", \"21 minutes\"], \"text_template_based\": \"I watched news for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/03/31?\", \"21 minutes\"], [\"what did I watch on tv on 2015/03/31?\", \"news\"], [\"Did I watch tv on 2015/03/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/01\": {\"exercise\": {\"eid\": \"e3373\", \"logical_representation\": [\"2015/04/01\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/04/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/01?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3374\", \"logical_representation\": [\"2015/04/01\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/04/01?\", \"47 minutes\"], [\"what did I read on 2015/04/01?\", \"social media\"], [\"Did I read on 2015/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/03\": {\"lunch\": {\"eid\": \"e3375\", \"logical_representation\": [\"2015/04/03\", \"lunch\", \"sandwich\", \"Jackson\"], \"text_template_based\": \"I had lunch with Jackson. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/03?\", \"Jackson\"], [\"what did I eat for lunch on 2015/04/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3376\", \"logical_representation\": [\"2015/04/03\", \"Eva, Layla\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Eva, Layla for 11 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla in the early afternoon on 2015/04/03?\", \"11 minutes\"], [\"who did I talk to on 2015/04/03?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2015/04/03?\", \"yes\"], [\"Did I talk to anyone on 2015/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/04\": {\"read\": {\"eid\": \"e3377\", \"logical_representation\": [\"2015/04/04\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/04/04?\", \"37 minutes\"], [\"what did I read on 2015/04/04?\", \"news\"], [\"Did I read on 2015/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/05\": {\"lunch\": {\"eid\": \"e3378\", \"logical_representation\": [\"2015/04/05\", \"lunch\", \"indian food\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Kayden, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/05?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2015/04/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3379\", \"logical_representation\": [\"2015/04/05\", \"dinner\", \"sandwich\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Willow, Avery, Jackson. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/04/05?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for dinner on 2015/04/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2015/04/06\": {\"breakfast\": {\"eid\": \"e3380\", \"logical_representation\": [\"2015/04/06\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Benjamin, Jackson, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/04/06?\", \"Benjamin, Jackson, Avery, Willow\"], [\"what did I eat for breakfast on 2015/04/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2015/04/08\": {\"breakfast\": {\"eid\": \"e3382\", \"logical_representation\": [\"2015/04/08\", \"breakfast\", \"cereals\", \"Piper\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3383\", \"logical_representation\": [\"2015/04/08\", \"Kinsley, Claire, Nevaeh, Lydia\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Kinsley, Claire, Nevaeh, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Nevaeh, Lydia late in the evening on 2015/04/08?\", \"28 minutes\"], [\"who did I talk to on 2015/04/08?\", \"Kinsley, Claire, Nevaeh, Lydia\"], [\"Did I talk to Kinsley, Claire, Nevaeh, Lydia on 2015/04/08?\", \"yes\"], [\"Did I talk to anyone on 2015/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/09\": {\"exercise\": {\"eid\": \"e3384\", \"logical_representation\": [\"2015/04/09\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/04/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/09?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3385\", \"logical_representation\": [\"2015/04/09\", \"lunch\", \"pasta\", \"Rylee, Nora, Piper, Layla, Claire, Lydia\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/04/09\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3386\", \"logical_representation\": [\"2015/04/09\", \"Lydia, Layla\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Lydia, Layla for 34 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla late in the evening on 2015/04/09?\", \"34 minutes\"], [\"who did I talk to on 2015/04/09?\", \"Lydia, Layla\"], [\"Did I talk to Lydia, Layla on 2015/04/09?\", \"yes\"], [\"Did I talk to anyone on 2015/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/10\": {\"dinner\": {\"eid\": \"e3387\", \"logical_representation\": [\"2015/04/10\", \"dinner\", \"pasta\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/04/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3388\", \"logical_representation\": [\"2015/04/10\", \"Piper, Hazel, Eva\", \"late in the evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Piper, Hazel, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Eva late in the evening on 2015/04/10?\", \"7 minutes\"], [\"who did I talk to on 2015/04/10?\", \"Piper, Hazel, Eva\"], [\"Did I talk to Piper, Hazel, Eva on 2015/04/10?\", \"yes\"], [\"Did I talk to anyone on 2015/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3389\", \"logical_representation\": [\"2015/04/10\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/04/10?\", \"26 minutes\"], [\"what did I read on 2015/04/10?\", \"social media\"], [\"Did I read on 2015/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/11\": {\"chat0\": {\"eid\": \"e3390\", \"logical_representation\": [\"2015/04/11\", \"Hazel, Layla\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I talked to Hazel, Layla for 46 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla in the morning on 2015/04/11?\", \"46 minutes\"], [\"who did I talk to on 2015/04/11?\", \"Hazel, Layla\"], [\"Did I talk to Hazel, Layla on 2015/04/11?\", \"yes\"], [\"Did I talk to anyone on 2015/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/12\": {\"exercise\": {\"eid\": \"e3391\", \"logical_representation\": [\"2015/04/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/04/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/04/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3392\", \"logical_representation\": [\"2015/04/12\", \"Nevaeh, Piper\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nevaeh, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper in the early evening on 2015/04/12?\", \"29 minutes\"], [\"who did I talk to on 2015/04/12?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2015/04/12?\", \"yes\"], [\"Did I talk to anyone on 2015/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/13\": {\"lunch\": {\"eid\": \"e3393\", \"logical_representation\": [\"2015/04/13\", \"lunch\", \"chinese food\", \"Eva, Hazel, Piper, Claire, Olivia, Nora, Piper, Layla, Kinsley\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/04/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3394\", \"logical_representation\": [\"2015/04/13\", \"dinner\", \"chinese food\", \"Piper, Lydia, Eva, Nevaeh, Nora, Layla, Rylee, Claire, Hazel, Piper, Olivia, Avery\"], \"text_template_based\": \"I had dinner with Piper, Lydia, Eva, Nevaeh, Nora, Layla, Rylee, Claire, Hazel, Piper, Olivia, Avery. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/04/13?\", \"Piper, Lydia, Eva, Nevaeh, Nora, Layla, Rylee, Claire, Hazel, Piper, Olivia, Avery\"], [\"what did I eat for dinner on 2015/04/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2015/04/15\": {\"breakfast\": {\"eid\": \"e3395\", \"logical_representation\": [\"2015/04/15\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3396\", \"logical_representation\": [\"2015/04/15\", \"dinner\", \"chinese food\", \"Kinsley, Avery, Eva, Claire, Piper, Rylee, Layla, Nevaeh, Olivia, Lydia, Piper, Hazel\"], \"text_template_based\": \"I had chinese food for dinner with Kinsley, Avery, Eva, Claire, Piper, Rylee, Layla, Nevaeh, Olivia, Lydia, Piper, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/04/15?\", \"Kinsley, Avery, Eva, Claire, Piper, Rylee, Layla, Nevaeh, Olivia, Lydia, Piper, Hazel\"], [\"what did I eat for dinner on 2015/04/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2015/04/16\": {\"read\": {\"eid\": \"e3397\", \"logical_representation\": [\"2015/04/16\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/04/16?\", \"26 minutes\"], [\"what did I read on 2015/04/16?\", \"news\"], [\"Did I read on 2015/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/17\": {\"lunch\": {\"eid\": \"e3398\", \"logical_representation\": [\"2015/04/17\", \"lunch\", \"a burger\", \"Willow\"], \"text_template_based\": \"I had lunch with Willow. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/17?\", \"Willow\"], [\"what did I eat for lunch on 2015/04/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3399\", \"logical_representation\": [\"2015/04/17\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/04/17?\", \"46 minutes\"], [\"what did I read on 2015/04/17?\", \"news\"], [\"Did I read on 2015/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/18\": {\"lunch\": {\"eid\": \"e3400\", \"logical_representation\": [\"2015/04/18\", \"lunch\", \"indian food\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had indian food for lunch with Andrew, Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/18?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2015/04/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3401\", \"logical_representation\": [\"2015/04/18\", \"Layla\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Layla for 46 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2015/04/18?\", \"46 minutes\"], [\"who did I talk to on 2015/04/18?\", \"Layla\"], [\"Did I talk to Layla on 2015/04/18?\", \"yes\"], [\"Did I talk to anyone on 2015/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/19\": {\"watch tv\": {\"eid\": \"e3402\", \"logical_representation\": [\"2015/04/19\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I watched a documentary for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/19?\", \"46 minutes\"], [\"what did I watch on tv on 2015/04/19?\", \"a documentary\"], [\"Did I watch tv on 2015/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/22\": {\"dinner\": {\"eid\": \"e3403\", \"logical_representation\": [\"2015/04/22\", \"dinner\", \"sandwich\", \"Hazel, Nevaeh, Claire, Olivia, Lydia, Nora, Piper, Kinsley, Eva, Layla\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/04/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2015/04/23\": {\"lunch\": {\"eid\": \"e3404\", \"logical_representation\": [\"2015/04/23\", \"lunch\", \"chinese food\", \"Hazel, Nora, Piper, Eva, Olivia, Lydia, Claire, Nevaeh, Piper, Kinsley, Layla\"], \"text_template_based\": \"I had chinese food for lunch with Hazel, Nora, Piper, Eva, Olivia, Lydia, Claire, Nevaeh, Piper, Kinsley, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/04/23?\", \"Hazel, Nora, Piper, Eva, Olivia, Lydia, Claire, Nevaeh, Piper, Kinsley, Layla\"], [\"what did I eat for lunch on 2015/04/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3405\", \"logical_representation\": [\"2015/04/23\", \"Lydia, Kinsley\", \"in the late afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Lydia, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley in the late afternoon on 2015/04/23?\", \"36 minutes\"], [\"who did I talk to on 2015/04/23?\", \"Lydia, Kinsley\"], [\"Did I talk to Lydia, Kinsley on 2015/04/23?\", \"yes\"], [\"Did I talk to anyone on 2015/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/24\": {\"read\": {\"eid\": \"e3406\", \"logical_representation\": [\"2015/04/24\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/04/24?\", \"41 minutes\"], [\"what did I read on 2015/04/24?\", \"a book\"], [\"Did I read on 2015/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/25\": {\"chat0\": {\"eid\": \"e3407\", \"logical_representation\": [\"2015/04/25\", \"Claire, Lydia, Layla\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Claire, Lydia, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Layla in the morning on 2015/04/25?\", \"54 minutes\"], [\"who did I talk to on 2015/04/25?\", \"Claire, Lydia, Layla\"], [\"Did I talk to Claire, Lydia, Layla on 2015/04/25?\", \"yes\"], [\"Did I talk to anyone on 2015/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3408\", \"logical_representation\": [\"2015/04/25\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/25?\", \"40 minutes\"], [\"what did I watch on tv on 2015/04/25?\", \"a documentary\"], [\"Did I watch tv on 2015/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/26\": {\"read\": {\"eid\": \"e3409\", \"logical_representation\": [\"2015/04/26\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/04/26?\", \"6 minutes\"], [\"what did I read on 2015/04/26?\", \"a book\"], [\"Did I read on 2015/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/27\": {\"lunch\": {\"eid\": \"e3410\", \"logical_representation\": [\"2015/04/27\", \"lunch\", \"sandwich\", \"Olivia\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/04/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2015/04/28\": {\"breakfast\": {\"eid\": \"e3411\", \"logical_representation\": [\"2015/04/28\", \"breakfast\", \"pancakes\", \"Piper, Nora, Rylee, Lydia, Avery, Layla, Eva, Claire, Hazel, Kinsley, Piper\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/04/28\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3412\", \"logical_representation\": [\"2015/04/28\", \"a tv series\", \"29 minutes\"], \"text_template_based\": \"I watched a tv series for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/04/28?\", \"29 minutes\"], [\"what did I watch on tv on 2015/04/28?\", \"a tv series\"], [\"Did I watch tv on 2015/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/04/29\": {\"dinner\": {\"eid\": \"e3413\", \"logical_representation\": [\"2015/04/29\", \"dinner\", \"fish and chips\", \"Jackson\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/04/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3414\", \"logical_representation\": [\"2015/04/29\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/04/29?\", \"40 minutes\"], [\"what did I read on 2015/04/29?\", \"social media\"], [\"Did I read on 2015/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/01\": {\"lunch\": {\"eid\": \"e3415\", \"logical_representation\": [\"2015/05/01\", \"lunch\", \"a burger\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Emily, Andrew, Kayden, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/05/01?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2015/05/01\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/05/03\": {\"read\": {\"eid\": \"e3417\", \"logical_representation\": [\"2015/05/03\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/05/03?\", \"43 minutes\"], [\"what did I read on 2015/05/03?\", \"a book\"], [\"Did I read on 2015/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/04\": {\"dinner\": {\"eid\": \"e3418\", \"logical_representation\": [\"2015/05/04\", \"dinner\", \"sushi\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Emily, Carter, Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/05/04?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for dinner on 2015/05/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3419\", \"logical_representation\": [\"2015/05/04\", \"Nevaeh, Eva, Piper, Olivia\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva, Piper, Olivia for 52 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva, Piper, Olivia in the early evening on 2015/05/04?\", \"52 minutes\"], [\"who did I talk to on 2015/05/04?\", \"Nevaeh, Eva, Piper, Olivia\"], [\"Did I talk to Nevaeh, Eva, Piper, Olivia on 2015/05/04?\", \"yes\"], [\"Did I talk to anyone on 2015/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3420\", \"logical_representation\": [\"2015/05/04\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/05/04?\", \"10 minutes\"], [\"what did I read on 2015/05/04?\", \"news\"], [\"Did I read on 2015/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/05\": {\"breakfast\": {\"eid\": \"e3421\", \"logical_representation\": [\"2015/05/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Kayden. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/05/05?\", \"Emily, Carter, Kayden\"], [\"what did I eat for breakfast on 2015/05/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2015/05/06\": {\"chat0\": {\"eid\": \"e3422\", \"logical_representation\": [\"2015/05/06\", \"Lydia, Nevaeh, Layla, Piper\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Lydia, Nevaeh, Layla, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Layla, Piper in the early evening on 2015/05/06?\", \"29 minutes\"], [\"who did I talk to on 2015/05/06?\", \"Lydia, Nevaeh, Layla, Piper\"], [\"Did I talk to Lydia, Nevaeh, Layla, Piper on 2015/05/06?\", \"yes\"], [\"Did I talk to anyone on 2015/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/07\": {\"breakfast\": {\"eid\": \"e3423\", \"logical_representation\": [\"2015/05/07\", \"breakfast\", \"peanut-butter-jam\", \"Kinsley, Layla, Eva, Rylee, Olivia, Lydia, Nora, Nevaeh, Piper, Piper, Claire, Avery, Hazel\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3424\", \"logical_representation\": [\"2015/05/07\", \"dinner\", \"sandwich\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/05/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3425\", \"logical_representation\": [\"2015/05/07\", \"Kinsley\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2015/05/07?\", \"36 minutes\"], [\"who did I talk to on 2015/05/07?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2015/05/07?\", \"yes\"], [\"Did I talk to anyone on 2015/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/08\": {\"lunch\": {\"eid\": \"e3426\", \"logical_representation\": [\"2015/05/08\", \"lunch\", \"steak\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Andrew. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/05/08?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2015/05/08\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3427\", \"logical_representation\": [\"2015/05/08\", \"dinner\", \"sandwich\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/05/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2015/05/09\": {\"watch tv\": {\"eid\": \"e3428\", \"logical_representation\": [\"2015/05/09\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/09?\", \"17 minutes\"], [\"what did I watch on tv on 2015/05/09?\", \"a tv series\"], [\"Did I watch tv on 2015/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/10\": {\"watch tv\": {\"eid\": \"e3429\", \"logical_representation\": [\"2015/05/10\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I watched a tv series for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/10?\", \"39 minutes\"], [\"what did I watch on tv on 2015/05/10?\", \"a tv series\"], [\"Did I watch tv on 2015/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/11\": {\"read\": {\"eid\": \"e3430\", \"logical_representation\": [\"2015/05/11\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/05/11?\", \"6 minutes\"], [\"what did I read on 2015/05/11?\", \"news\"], [\"Did I read on 2015/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/13\": {\"exercise\": {\"eid\": \"e3431\", \"logical_representation\": [\"2015/05/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/05/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/05/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3432\", \"logical_representation\": [\"2015/05/13\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/05/13?\", \"23 minutes\"], [\"what did I read on 2015/05/13?\", \"social media\"], [\"Did I read on 2015/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/14\": {\"dinner\": {\"eid\": \"e3433\", \"logical_representation\": [\"2015/05/14\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/05/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3434\", \"logical_representation\": [\"2015/05/14\", \"Olivia, Hazel, Rylee, Piper\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Olivia, Hazel, Rylee, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Rylee, Piper late in the evening on 2015/05/14?\", \"41 minutes\"], [\"who did I talk to on 2015/05/14?\", \"Olivia, Hazel, Rylee, Piper\"], [\"Did I talk to Olivia, Hazel, Rylee, Piper on 2015/05/14?\", \"yes\"], [\"Did I talk to anyone on 2015/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/16\": {\"exercise\": {\"eid\": \"e3435\", \"logical_representation\": [\"2015/05/16\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/05/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/05/16?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2015/05/17\": {\"lunch\": {\"eid\": \"e3436\", \"logical_representation\": [\"2015/05/17\", \"lunch\", \"steak\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had lunch with Avery, Benjamin, Jackson, Willow. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/05/17?\", \"Avery, Benjamin, Jackson, Willow\"], [\"what did I eat for lunch on 2015/05/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3437\", \"logical_representation\": [\"2015/05/17\", \"Layla, Kinsley\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Layla, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley in the late afternoon on 2015/05/17?\", \"32 minutes\"], [\"who did I talk to on 2015/05/17?\", \"Layla, Kinsley\"], [\"Did I talk to Layla, Kinsley on 2015/05/17?\", \"yes\"], [\"Did I talk to anyone on 2015/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/18\": {\"dinner\": {\"eid\": \"e3438\", \"logical_representation\": [\"2015/05/18\", \"dinner\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/05/18?\", \"Kayden\"], [\"what did I eat for dinner on 2015/05/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3439\", \"logical_representation\": [\"2015/05/18\", \"Piper\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2015/05/18?\", \"39 minutes\"], [\"who did I talk to on 2015/05/18?\", \"Piper\"], [\"Did I talk to Piper on 2015/05/18?\", \"yes\"], [\"Did I talk to anyone on 2015/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/20\": {\"watch tv\": {\"eid\": \"e3440\", \"logical_representation\": [\"2015/05/20\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/20?\", \"41 minutes\"], [\"what did I watch on tv on 2015/05/20?\", \"news\"], [\"Did I watch tv on 2015/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/21\": {\"chat0\": {\"eid\": \"e3441\", \"logical_representation\": [\"2015/05/21\", \"Claire, Eva, Lydia\", \"in the early evening\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Claire, Eva, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Eva, Lydia in the early evening on 2015/05/21?\", \"54 minutes\"], [\"who did I talk to on 2015/05/21?\", \"Claire, Eva, Lydia\"], [\"Did I talk to Claire, Eva, Lydia on 2015/05/21?\", \"yes\"], [\"Did I talk to anyone on 2015/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/22\": {\"watch tv\": {\"eid\": \"e3442\", \"logical_representation\": [\"2015/05/22\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/22?\", \"41 minutes\"], [\"what did I watch on tv on 2015/05/22?\", \"a movie\"], [\"Did I watch tv on 2015/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/27\": {\"exercise\": {\"eid\": \"e3449\", \"logical_representation\": [\"2015/05/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/05/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/05/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3450\", \"logical_representation\": [\"2015/05/27\", \"breakfast\", \"cereals\", \"Kinsley, Hazel, Nora\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/05/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3451\", \"logical_representation\": [\"2015/05/27\", \"lunch\", \"sandwich\", \"Avery\"], \"text_template_based\": \"I had lunch with Avery. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/05/27?\", \"Avery\"], [\"what did I eat for lunch on 2015/05/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3452\", \"logical_representation\": [\"2015/05/27\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/05/27?\", \"50 minutes\"], [\"what did I read on 2015/05/27?\", \"a book\"], [\"Did I read on 2015/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/29\": {\"exercise\": {\"eid\": \"e3453\", \"logical_representation\": [\"2015/05/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/05/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/05/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3454\", \"logical_representation\": [\"2015/05/29\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/05/29?\", \"33 minutes\"], [\"what did I watch on tv on 2015/05/29?\", \"news\"], [\"Did I watch tv on 2015/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/05/30\": {\"lunch\": {\"eid\": \"e3455\", \"logical_representation\": [\"2015/05/30\", \"lunch\", \"a burger\", \"Layla, Eva, Nevaeh, Lydia, Rylee, Avery\"], \"text_template_based\": \"I had a burger for lunch with Layla, Eva, Nevaeh, Lydia, Rylee, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/05/30?\", \"Layla, Eva, Nevaeh, Lydia, Rylee, Avery\"], [\"what did I eat for lunch on 2015/05/30\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/05/31\": {\"lunch\": {\"eid\": \"e3456\", \"logical_representation\": [\"2015/05/31\", \"lunch\", \"steak\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Andrew, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/05/31?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2015/05/31\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2015/06/01\": {\"lunch\": {\"eid\": \"e3457\", \"logical_representation\": [\"2015/06/01\", \"lunch\", \"a burger\", \"Claire, Rylee, Eva, Nora, Piper, Avery\"], \"text_template_based\": \"I had a burger for lunch with Claire, Rylee, Eva, Nora, Piper, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/06/01?\", \"Claire, Rylee, Eva, Nora, Piper, Avery\"], [\"what did I eat for lunch on 2015/06/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3458\", \"logical_representation\": [\"2015/06/01\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/01?\", \"8 minutes\"], [\"what did I watch on tv on 2015/06/01?\", \"news\"], [\"Did I watch tv on 2015/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/04\": {\"exercise\": {\"eid\": \"e3459\", \"logical_representation\": [\"2015/06/04\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/06/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/04?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3460\", \"logical_representation\": [\"2015/06/04\", \"dinner\", \"sushi\", \"Layla, Nevaeh, Nora, Piper, Avery, Rylee\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3461\", \"logical_representation\": [\"2015/06/04\", \"Lydia, Rylee, Piper, Hazel\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee, Piper, Hazel for 51 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Piper, Hazel in the late afternoon on 2015/06/04?\", \"51 minutes\"], [\"who did I talk to on 2015/06/04?\", \"Lydia, Rylee, Piper, Hazel\"], [\"Did I talk to Lydia, Rylee, Piper, Hazel on 2015/06/04?\", \"yes\"], [\"Did I talk to anyone on 2015/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/05\": {\"lunch\": {\"eid\": \"e3462\", \"logical_representation\": [\"2015/06/05\", \"lunch\", \"fish and chips\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/06/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3463\", \"logical_representation\": [\"2015/06/05\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/06/05?\", \"55 minutes\"], [\"what did I read on 2015/06/05?\", \"news\"], [\"Did I read on 2015/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3464\", \"logical_representation\": [\"2015/06/05\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I watched a tv series for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/05?\", \"28 minutes\"], [\"what did I watch on tv on 2015/06/05?\", \"a tv series\"], [\"Did I watch tv on 2015/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/07\": {\"lunch\": {\"eid\": \"e3465\", \"logical_representation\": [\"2015/06/07\", \"lunch\", \"pasta\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had lunch with Carter, Andrew, Kayden, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/06/07?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2015/06/07\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/06/08\": {\"exercise\": {\"eid\": \"e3466\", \"logical_representation\": [\"2015/06/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/06/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2015/06/09\": {\"exercise\": {\"eid\": \"e3467\", \"logical_representation\": [\"2015/06/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/06/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3468\", \"logical_representation\": [\"2015/06/09\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had oatmeal for breakfast with Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/06/09?\", \"Emily, Kayden, Carter\"], [\"what did I eat for breakfast on 2015/06/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2015/06/10\": {\"dinner\": {\"eid\": \"e3469\", \"logical_representation\": [\"2015/06/10\", \"dinner\", \"chinese food\", \"Eva, Olivia, Avery, Nora, Claire, Layla, Nevaeh, Kinsley, Piper, Piper, Hazel, Lydia, Rylee\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3470\", \"logical_representation\": [\"2015/06/10\", \"Nora, Hazel, Piper\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I talked to Nora, Hazel, Piper for 35 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel, Piper in the morning on 2015/06/10?\", \"35 minutes\"], [\"who did I talk to on 2015/06/10?\", \"Nora, Hazel, Piper\"], [\"Did I talk to Nora, Hazel, Piper on 2015/06/10?\", \"yes\"], [\"Did I talk to anyone on 2015/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/11\": {\"dinner\": {\"eid\": \"e3471\", \"logical_representation\": [\"2015/06/11\", \"dinner\", \"sushi\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3472\", \"logical_representation\": [\"2015/06/11\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/06/11?\", \"14 minutes\"], [\"what did I read on 2015/06/11?\", \"social media\"], [\"Did I read on 2015/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3473\", \"logical_representation\": [\"2015/06/11\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I watched a movie for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/11?\", \"18 minutes\"], [\"what did I watch on tv on 2015/06/11?\", \"a movie\"], [\"Did I watch tv on 2015/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/12\": {\"lunch\": {\"eid\": \"e3474\", \"logical_representation\": [\"2015/06/12\", \"lunch\", \"tacos\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/06/12\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2015/06/13\": {\"exercise\": {\"eid\": \"e3475\", \"logical_representation\": [\"2015/06/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/06/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3476\", \"logical_representation\": [\"2015/06/13\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Claire, Layla, Olivia, Piper, Nora, Hazel, Piper, Kinsley, Avery, Lydia, Eva, Nevaeh\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/06/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2015/06/14\": {\"exercise\": {\"eid\": \"e3477\", \"logical_representation\": [\"2015/06/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/06/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2015/06/15\": {\"read\": {\"eid\": \"e3478\", \"logical_representation\": [\"2015/06/15\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/06/15?\", \"5 minutes\"], [\"what did I read on 2015/06/15?\", \"a book\"], [\"Did I read on 2015/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/17\": {\"read\": {\"eid\": \"e3480\", \"logical_representation\": [\"2015/06/17\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/06/17?\", \"29 minutes\"], [\"what did I read on 2015/06/17?\", \"a book\"], [\"Did I read on 2015/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/18\": {\"breakfast\": {\"eid\": \"e3481\", \"logical_representation\": [\"2015/06/18\", \"breakfast\", \"oatmeal\", \"Piper, Rylee, Nevaeh, Kinsley, Claire, Olivia, Layla, Nora, Hazel, Avery, Lydia, Eva, Piper\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/06/18\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3482\", \"logical_representation\": [\"2015/06/18\", \"dinner\", \"sandwich\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/06/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2015/06/19\": {\"watch tv\": {\"eid\": \"e3483\", \"logical_representation\": [\"2015/06/19\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/19?\", \"52 minutes\"], [\"what did I watch on tv on 2015/06/19?\", \"a documentary\"], [\"Did I watch tv on 2015/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/21\": {\"watch tv\": {\"eid\": \"e3484\", \"logical_representation\": [\"2015/06/21\", \"news\", \"18 minutes\"], \"text_template_based\": \"I watched news for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/21?\", \"18 minutes\"], [\"what did I watch on tv on 2015/06/21?\", \"news\"], [\"Did I watch tv on 2015/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/23\": {\"dinner\": {\"eid\": \"e3487\", \"logical_representation\": [\"2015/06/23\", \"dinner\", \"indian food\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had indian food for dinner with Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/06/23?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for dinner on 2015/06/23\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3488\", \"logical_representation\": [\"2015/06/23\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/06/23?\", \"28 minutes\"], [\"what did I read on 2015/06/23?\", \"social media\"], [\"Did I read on 2015/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3489\", \"logical_representation\": [\"2015/06/23\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I watched a movie for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/23?\", \"50 minutes\"], [\"what did I watch on tv on 2015/06/23?\", \"a movie\"], [\"Did I watch tv on 2015/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/26\": {\"chat0\": {\"eid\": \"e3493\", \"logical_representation\": [\"2015/06/26\", \"Nora, Olivia, Eva\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Nora, Olivia, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Eva in the early evening on 2015/06/26?\", \"42 minutes\"], [\"who did I talk to on 2015/06/26?\", \"Nora, Olivia, Eva\"], [\"Did I talk to Nora, Olivia, Eva on 2015/06/26?\", \"yes\"], [\"Did I talk to anyone on 2015/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/27\": {\"watch tv\": {\"eid\": \"e3494\", \"logical_representation\": [\"2015/06/27\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/06/27?\", \"43 minutes\"], [\"what did I watch on tv on 2015/06/27?\", \"news\"], [\"Did I watch tv on 2015/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/06/28\": {\"lunch\": {\"eid\": \"e3495\", \"logical_representation\": [\"2015/06/28\", \"lunch\", \"sushi\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had lunch with Benjamin, Jackson, Avery, Willow. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/06/28?\", \"Benjamin, Jackson, Avery, Willow\"], [\"what did I eat for lunch on 2015/06/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3496\", \"logical_representation\": [\"2015/06/28\", \"dinner\", \"tacos\", \"Rylee, Olivia\"], \"text_template_based\": \"I had tacos for dinner with Rylee, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/06/28?\", \"Rylee, Olivia\"], [\"what did I eat for dinner on 2015/06/28\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2015/06/29\": {\"exercise\": {\"eid\": \"e3497\", \"logical_representation\": [\"2015/06/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/06/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/06/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2015/06/30\": {\"dinner\": {\"eid\": \"e3498\", \"logical_representation\": [\"2015/06/30\", \"dinner\", \"a burger\", \"Layla, Piper, Avery, Claire, Hazel, Piper\"], \"text_template_based\": \"I had dinner with Layla, Piper, Avery, Claire, Hazel, Piper. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/06/30?\", \"Layla, Piper, Avery, Claire, Hazel, Piper\"], [\"what did I eat for dinner on 2015/06/30\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/07/02\": {\"breakfast\": {\"eid\": \"e3501\", \"logical_representation\": [\"2015/07/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3502\", \"logical_representation\": [\"2015/07/02\", \"Eva, Layla\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Eva, Layla for 12 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla in the late afternoon on 2015/07/02?\", \"12 minutes\"], [\"who did I talk to on 2015/07/02?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2015/07/02?\", \"yes\"], [\"Did I talk to anyone on 2015/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3503\", \"logical_representation\": [\"2015/07/02\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/07/02?\", \"20 minutes\"], [\"what did I read on 2015/07/02?\", \"social media\"], [\"Did I read on 2015/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/03\": {\"lunch\": {\"eid\": \"e3504\", \"logical_representation\": [\"2015/07/03\", \"lunch\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2015/07/04\": {\"breakfast\": {\"eid\": \"e3505\", \"logical_representation\": [\"2015/07/04\", \"breakfast\", \"oatmeal\", \"Piper, Lydia, Rylee, Piper, Claire\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2015/07/09\": {\"lunch\": {\"eid\": \"e3513\", \"logical_representation\": [\"2015/07/09\", \"lunch\", \"chinese food\", \"Benjamin, Avery\"], \"text_template_based\": \"I had lunch with Benjamin, Avery. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/07/09?\", \"Benjamin, Avery\"], [\"what did I eat for lunch on 2015/07/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3514\", \"logical_representation\": [\"2015/07/09\", \"Nora, Olivia, Hazel\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia, Hazel for 11 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Hazel in the morning on 2015/07/09?\", \"11 minutes\"], [\"who did I talk to on 2015/07/09?\", \"Nora, Olivia, Hazel\"], [\"Did I talk to Nora, Olivia, Hazel on 2015/07/09?\", \"yes\"], [\"Did I talk to anyone on 2015/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/10\": {\"watch tv\": {\"eid\": \"e3515\", \"logical_representation\": [\"2015/07/10\", \"a documentary\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/10?\", \"14 minutes\"], [\"what did I watch on tv on 2015/07/10?\", \"a documentary\"], [\"Did I watch tv on 2015/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/12\": {\"dinner\": {\"eid\": \"e3516\", \"logical_representation\": [\"2015/07/12\", \"dinner\", \"a burger\", \"Kinsley, Hazel, Piper, Claire, Nevaeh, Nora, Eva, Layla, Lydia, Rylee, Piper\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/07/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3517\", \"logical_representation\": [\"2015/07/12\", \"Eva\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the late afternoon on 2015/07/12?\", \"9 minutes\"], [\"who did I talk to on 2015/07/12?\", \"Eva\"], [\"Did I talk to Eva on 2015/07/12?\", \"yes\"], [\"Did I talk to anyone on 2015/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/14\": {\"exercise\": {\"eid\": \"e3520\", \"logical_representation\": [\"2015/07/14\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/07/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/14?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3521\", \"logical_representation\": [\"2015/07/14\", \"lunch\", \"pasta\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/14\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/07/15\": {\"dinner\": {\"eid\": \"e3522\", \"logical_representation\": [\"2015/07/15\", \"dinner\", \"pasta\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner with Emily, Carter. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/07/15?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2015/07/15\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/07/16\": {\"breakfast\": {\"eid\": \"e3523\", \"logical_representation\": [\"2015/07/16\", \"breakfast\", \"oatmeal\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3524\", \"logical_representation\": [\"2015/07/16\", \"lunch\", \"sandwich\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/07/16?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2015/07/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2015/07/19\": {\"chat0\": {\"eid\": \"e3528\", \"logical_representation\": [\"2015/07/19\", \"Piper, Rylee, Olivia\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee, Olivia for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Olivia late in the evening on 2015/07/19?\", \"18 minutes\"], [\"who did I talk to on 2015/07/19?\", \"Piper, Rylee, Olivia\"], [\"Did I talk to Piper, Rylee, Olivia on 2015/07/19?\", \"yes\"], [\"Did I talk to anyone on 2015/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3529\", \"logical_representation\": [\"2015/07/19\", \"a tv series\", \"30 minutes\"], \"text_template_based\": \"I watched a tv series for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/19?\", \"30 minutes\"], [\"what did I watch on tv on 2015/07/19?\", \"a tv series\"], [\"Did I watch tv on 2015/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/20\": {\"exercise\": {\"eid\": \"e3530\", \"logical_representation\": [\"2015/07/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/07/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3531\", \"logical_representation\": [\"2015/07/20\", \"lunch\", \"tacos\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/20\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2015/07/22\": {\"lunch\": {\"eid\": \"e3532\", \"logical_representation\": [\"2015/07/22\", \"lunch\", \"sushi\", \"Kayden, Emily\"], \"text_template_based\": \"I had sushi for lunch with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/07/22?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2015/07/22\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3533\", \"logical_representation\": [\"2015/07/22\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/22?\", \"33 minutes\"], [\"what did I watch on tv on 2015/07/22?\", \"a documentary\"], [\"Did I watch tv on 2015/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/23\": {\"breakfast\": {\"eid\": \"e3534\", \"logical_representation\": [\"2015/07/23\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/07/23\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2015/07/24\": {\"exercise\": {\"eid\": \"e3535\", \"logical_representation\": [\"2015/07/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/07/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2015/07/25\": {\"breakfast\": {\"eid\": \"e3536\", \"logical_representation\": [\"2015/07/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Piper, Nora, Eva\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Claire, Piper, Nora, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/07/25?\", \"Claire, Piper, Nora, Eva\"], [\"what did I eat for breakfast on 2015/07/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3537\", \"logical_representation\": [\"2015/07/25\", \"dinner\", \"pasta\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/07/25\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/07/26\": {\"exercise\": {\"eid\": \"e3538\", \"logical_representation\": [\"2015/07/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3539\", \"logical_representation\": [\"2015/07/26\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/26?\", \"22 minutes\"], [\"what did I watch on tv on 2015/07/26?\", \"a movie\"], [\"Did I watch tv on 2015/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/27\": {\"exercise\": {\"eid\": \"e3540\", \"logical_representation\": [\"2015/07/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/07/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/07/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3541\", \"logical_representation\": [\"2015/07/27\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/27?\", \"39 minutes\"], [\"what did I watch on tv on 2015/07/27?\", \"a documentary\"], [\"Did I watch tv on 2015/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/07/29\": {\"lunch\": {\"eid\": \"e3542\", \"logical_representation\": [\"2015/07/29\", \"lunch\", \"a burger\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/07/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3543\", \"logical_representation\": [\"2015/07/29\", \"Avery, Nora, Eva, Olivia\", \"during lunch hours\", \"40 minutes\"], \"text_template_based\": \"I talked to Avery, Nora, Eva, Olivia for 40 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora, Eva, Olivia during lunch hours on 2015/07/29?\", \"40 minutes\"], [\"who did I talk to on 2015/07/29?\", \"Avery, Nora, Eva, Olivia\"], [\"Did I talk to Avery, Nora, Eva, Olivia on 2015/07/29?\", \"yes\"], [\"Did I talk to anyone on 2015/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3544\", \"logical_representation\": [\"2015/07/29\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/07/29?\", \"22 minutes\"], [\"what did I watch on tv on 2015/07/29?\", \"news\"], [\"Did I watch tv on 2015/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/01\": {\"breakfast\": {\"eid\": \"e3548\", \"logical_representation\": [\"2015/08/01\", \"breakfast\", \"pancakes\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/08/01?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for breakfast on 2015/08/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/03\": {\"breakfast\": {\"eid\": \"e3551\", \"logical_representation\": [\"2015/08/03\", \"breakfast\", \"toast and cheese\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had toast and cheese for breakfast with Willow, Benjamin, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/08/03?\", \"Willow, Benjamin, Jackson, Avery\"], [\"what did I eat for breakfast on 2015/08/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2015/08/05\": {\"lunch\": {\"eid\": \"e3553\", \"logical_representation\": [\"2015/08/05\", \"lunch\", \"a burger\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had lunch with Benjamin, Jackson, Avery. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/08/05?\", \"Benjamin, Jackson, Avery\"], [\"what did I eat for lunch on 2015/08/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3554\", \"logical_representation\": [\"2015/08/05\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/08/05?\", \"33 minutes\"], [\"what did I read on 2015/08/05?\", \"social media\"], [\"Did I read on 2015/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/06\": {\"lunch\": {\"eid\": \"e3555\", \"logical_representation\": [\"2015/08/06\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had sushi for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/08/06?\", \"Emily\"], [\"what did I eat for lunch on 2015/08/06\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2015/08/07\": {\"exercise\": {\"eid\": \"e3556\", \"logical_representation\": [\"2015/08/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/08/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2015/08/08\": {\"lunch\": {\"eid\": \"e3557\", \"logical_representation\": [\"2015/08/08\", \"lunch\", \"sandwich\", \"Avery, Willow\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2015/08/10\": {\"breakfast\": {\"eid\": \"e3558\", \"logical_representation\": [\"2015/08/10\", \"breakfast\", \"pancakes\", \"Lydia\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3559\", \"logical_representation\": [\"2015/08/10\", \"Rylee\", \"in the morning\", \"25 minutes\"], \"text_template_based\": \"I talked to Rylee for 25 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2015/08/10?\", \"25 minutes\"], [\"who did I talk to on 2015/08/10?\", \"Rylee\"], [\"Did I talk to Rylee on 2015/08/10?\", \"yes\"], [\"Did I talk to anyone on 2015/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/11\": {\"breakfast\": {\"eid\": \"e3560\", \"logical_representation\": [\"2015/08/11\", \"breakfast\", \"toast and cheese\", \"Claire, Piper, Kinsley, Layla\"], \"text_template_based\": \"I had breakfast with Claire, Piper, Kinsley, Layla. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/08/11?\", \"Claire, Piper, Kinsley, Layla\"], [\"what did I eat for breakfast on 2015/08/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2015/08/12\": {\"dinner\": {\"eid\": \"e3561\", \"logical_representation\": [\"2015/08/12\", \"dinner\", \"fish and chips\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/08/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2015/08/13\": {\"dinner\": {\"eid\": \"e3562\", \"logical_representation\": [\"2015/08/13\", \"dinner\", \"steak\", \"Emily, Kayden\"], \"text_template_based\": \"I had steak for dinner with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/08/13?\", \"Emily, Kayden\"], [\"what did I eat for dinner on 2015/08/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3563\", \"logical_representation\": [\"2015/08/13\", \"a documentary\", \"8 minutes\"], \"text_template_based\": \"I watched a documentary for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/13?\", \"8 minutes\"], [\"what did I watch on tv on 2015/08/13?\", \"a documentary\"], [\"Did I watch tv on 2015/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/14\": {\"exercise\": {\"eid\": \"e3564\", \"logical_representation\": [\"2015/08/14\", \"running\"], \"text_template_based\": \"I did running on 2015/08/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/14?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2015/08/15\": {\"dinner\": {\"eid\": \"e3565\", \"logical_representation\": [\"2015/08/15\", \"dinner\", \"chinese food\", \"Willow, Benjamin\"], \"text_template_based\": \"I had dinner with Willow, Benjamin. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/08/15?\", \"Willow, Benjamin\"], [\"what did I eat for dinner on 2015/08/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3566\", \"logical_representation\": [\"2015/08/15\", \"Piper, Lydia\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Piper, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia in the late afternoon on 2015/08/15?\", \"30 minutes\"], [\"who did I talk to on 2015/08/15?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2015/08/15?\", \"yes\"], [\"Did I talk to anyone on 2015/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3567\", \"logical_representation\": [\"2015/08/15\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/08/15?\", \"15 minutes\"], [\"what did I read on 2015/08/15?\", \"news\"], [\"Did I read on 2015/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/16\": {\"chat0\": {\"eid\": \"e3568\", \"logical_representation\": [\"2015/08/16\", \"Eva, Olivia, Claire, Nora\", \"during lunch hours\", \"32 minutes\"], \"text_template_based\": \"I talked to Eva, Olivia, Claire, Nora for 32 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Claire, Nora during lunch hours on 2015/08/16?\", \"32 minutes\"], [\"who did I talk to on 2015/08/16?\", \"Eva, Olivia, Claire, Nora\"], [\"Did I talk to Eva, Olivia, Claire, Nora on 2015/08/16?\", \"yes\"], [\"Did I talk to anyone on 2015/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3569\", \"logical_representation\": [\"2015/08/16\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/16?\", \"20 minutes\"], [\"what did I watch on tv on 2015/08/16?\", \"a documentary\"], [\"Did I watch tv on 2015/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/18\": {\"exercise\": {\"eid\": \"e3572\", \"logical_representation\": [\"2015/08/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/08/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3573\", \"logical_representation\": [\"2015/08/18\", \"breakfast\", \"cereals\", \"Eva\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3574\", \"logical_representation\": [\"2015/08/18\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/08/18?\", \"33 minutes\"], [\"what did I read on 2015/08/18?\", \"social media\"], [\"Did I read on 2015/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/20\": {\"dinner\": {\"eid\": \"e3576\", \"logical_representation\": [\"2015/08/20\", \"dinner\", \"tacos\", \"Nevaeh, Olivia, Layla, Hazel\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/08/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3577\", \"logical_representation\": [\"2015/08/20\", \"Hazel, Piper, Lydia\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Hazel, Piper, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Lydia late in the evening on 2015/08/20?\", \"39 minutes\"], [\"who did I talk to on 2015/08/20?\", \"Hazel, Piper, Lydia\"], [\"Did I talk to Hazel, Piper, Lydia on 2015/08/20?\", \"yes\"], [\"Did I talk to anyone on 2015/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/21\": {\"exercise\": {\"eid\": \"e3578\", \"logical_representation\": [\"2015/08/21\", \"running\"], \"text_template_based\": \"I did running on 2015/08/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3579\", \"logical_representation\": [\"2015/08/21\", \"breakfast\", \"oatmeal\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/21\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3580\", \"logical_representation\": [\"2015/08/21\", \"lunch\", \"pasta\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/21\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3581\", \"logical_representation\": [\"2015/08/21\", \"Piper, Rylee, Olivia, Piper\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee, Olivia, Piper for 54 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Olivia, Piper in the morning on 2015/08/21?\", \"54 minutes\"], [\"who did I talk to on 2015/08/21?\", \"Piper, Rylee, Olivia, Piper\"], [\"Did I talk to Piper, Rylee, Olivia, Piper on 2015/08/21?\", \"yes\"], [\"Did I talk to anyone on 2015/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3582\", \"logical_representation\": [\"2015/08/21\", \"news\", \"51 minutes\"], \"text_template_based\": \"I watched news for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/21?\", \"51 minutes\"], [\"what did I watch on tv on 2015/08/21?\", \"news\"], [\"Did I watch tv on 2015/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/22\": {\"watch tv\": {\"eid\": \"e3583\", \"logical_representation\": [\"2015/08/22\", \"news\", \"46 minutes\"], \"text_template_based\": \"I watched news for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/22?\", \"46 minutes\"], [\"what did I watch on tv on 2015/08/22?\", \"news\"], [\"Did I watch tv on 2015/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/23\": {\"read\": {\"eid\": \"e3584\", \"logical_representation\": [\"2015/08/23\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/08/23?\", \"9 minutes\"], [\"what did I read on 2015/08/23?\", \"news\"], [\"Did I read on 2015/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3585\", \"logical_representation\": [\"2015/08/23\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I watched a movie for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/08/23?\", \"50 minutes\"], [\"what did I watch on tv on 2015/08/23?\", \"a movie\"], [\"Did I watch tv on 2015/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/24\": {\"breakfast\": {\"eid\": \"e3586\", \"logical_representation\": [\"2015/08/24\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Nora, Lydia, Avery, Olivia, Piper\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Layla, Nora, Lydia, Avery, Olivia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/08/24?\", \"Layla, Nora, Lydia, Avery, Olivia, Piper\"], [\"what did I eat for breakfast on 2015/08/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3587\", \"logical_representation\": [\"2015/08/24\", \"lunch\", \"sandwich\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/08/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2015/08/25\": {\"exercise\": {\"eid\": \"e3588\", \"logical_representation\": [\"2015/08/25\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/08/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/08/25?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2015/08/27\": {\"breakfast\": {\"eid\": \"e3592\", \"logical_representation\": [\"2015/08/27\", \"breakfast\", \"cereals\", \"Carter\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/08/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3593\", \"logical_representation\": [\"2015/08/27\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/08/27?\", \"26 minutes\"], [\"what did I read on 2015/08/27?\", \"social media\"], [\"Did I read on 2015/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/08/30\": {\"chat0\": {\"eid\": \"e3594\", \"logical_representation\": [\"2015/08/30\", \"Lydia\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I talked to Lydia for 54 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2015/08/30?\", \"54 minutes\"], [\"who did I talk to on 2015/08/30?\", \"Lydia\"], [\"Did I talk to Lydia on 2015/08/30?\", \"yes\"], [\"Did I talk to anyone on 2015/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/01\": {\"lunch\": {\"eid\": \"e3596\", \"logical_representation\": [\"2015/09/01\", \"lunch\", \"steak\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/09/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3597\", \"logical_representation\": [\"2015/09/01\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/09/01?\", \"6 minutes\"], [\"what did I read on 2015/09/01?\", \"social media\"], [\"Did I read on 2015/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/02\": {\"lunch\": {\"eid\": \"e3598\", \"logical_representation\": [\"2015/09/02\", \"lunch\", \"tacos\", \"Carter, Emily\"], \"text_template_based\": \"I had tacos for lunch with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/09/02?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2015/09/02\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2015/09/03\": {\"chat0\": {\"eid\": \"e3599\", \"logical_representation\": [\"2015/09/03\", \"Nevaeh\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 48 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2015/09/03?\", \"48 minutes\"], [\"who did I talk to on 2015/09/03?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2015/09/03?\", \"yes\"], [\"Did I talk to anyone on 2015/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/04\": {\"exercise\": {\"eid\": \"e3600\", \"logical_representation\": [\"2015/09/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/09/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3601\", \"logical_representation\": [\"2015/09/04\", \"breakfast\", \"toast and cheese\", \"Avery, Kinsley, Nevaeh, Layla, Piper, Nora\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3602\", \"logical_representation\": [\"2015/09/04\", \"dinner\", \"pasta\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3603\", \"logical_representation\": [\"2015/09/04\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/09/04?\", \"31 minutes\"], [\"what did I read on 2015/09/04?\", \"news\"], [\"Did I read on 2015/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/08\": {\"dinner\": {\"eid\": \"e3605\", \"logical_representation\": [\"2015/09/08\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/08\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2015/09/09\": {\"exercise\": {\"eid\": \"e3606\", \"logical_representation\": [\"2015/09/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/09/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3607\", \"logical_representation\": [\"2015/09/09\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Avery, Lydia, Olivia, Eva, Claire, Layla, Rylee\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/09\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3608\", \"logical_representation\": [\"2015/09/09\", \"dinner\", \"sandwich\", \"Rylee, Olivia\"], \"text_template_based\": \"I had dinner with Rylee, Olivia. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/09/09?\", \"Rylee, Olivia\"], [\"what did I eat for dinner on 2015/09/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2015/09/10\": {\"exercise\": {\"eid\": \"e3609\", \"logical_representation\": [\"2015/09/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/09/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3610\", \"logical_representation\": [\"2015/09/10\", \"breakfast\", \"cereals\", \"Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/10\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2015/09/11\": {\"read\": {\"eid\": \"e3611\", \"logical_representation\": [\"2015/09/11\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/09/11?\", \"37 minutes\"], [\"what did I read on 2015/09/11?\", \"a book\"], [\"Did I read on 2015/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/12\": {\"breakfast\": {\"eid\": \"e3612\", \"logical_representation\": [\"2015/09/12\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/09/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3613\", \"logical_representation\": [\"2015/09/12\", \"Nevaeh, Piper\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper for 33 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper in the morning on 2015/09/12?\", \"33 minutes\"], [\"who did I talk to on 2015/09/12?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2015/09/12?\", \"yes\"], [\"Did I talk to anyone on 2015/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/14\": {\"breakfast\": {\"eid\": \"e3614\", \"logical_representation\": [\"2015/09/14\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had oatmeal for breakfast with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/09/14?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2015/09/14\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2015/09/16\": {\"social media\": {\"eid\": \"e3615\", \"logical_representation\": [\"2015/09/16\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/09/16?\", \"7 minutes\"], [\"what did I read on 2015/09/16?\", \"social media\"], [\"Did I read on 2015/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/17\": {\"dinner\": {\"eid\": \"e3616\", \"logical_representation\": [\"2015/09/17\", \"dinner\", \"chinese food\", \"Layla, Piper, Avery, Eva, Piper, Nevaeh, Nora, Lydia, Olivia, Kinsley, Claire, Hazel\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2015/09/18\": {\"lunch\": {\"eid\": \"e3617\", \"logical_representation\": [\"2015/09/18\", \"lunch\", \"chinese food\", \"Layla, Rylee, Eva, Lydia, Claire, Piper, Piper, Nora\"], \"text_template_based\": \"I had chinese food for lunch with Layla, Rylee, Eva, Lydia, Claire, Piper, Piper, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/09/18?\", \"Layla, Rylee, Eva, Lydia, Claire, Piper, Piper, Nora\"], [\"what did I eat for lunch on 2015/09/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2015/09/19\": {\"breakfast\": {\"eid\": \"e3618\", \"logical_representation\": [\"2015/09/19\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/09/19?\", \"Carter, Andrew, Emily\"], [\"what did I eat for breakfast on 2015/09/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3619\", \"logical_representation\": [\"2015/09/19\", \"dinner\", \"sushi\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/09/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3620\", \"logical_representation\": [\"2015/09/19\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/19?\", \"29 minutes\"], [\"what did I watch on tv on 2015/09/19?\", \"news\"], [\"Did I watch tv on 2015/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/20\": {\"exercise\": {\"eid\": \"e3621\", \"logical_representation\": [\"2015/09/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/09/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3622\", \"logical_representation\": [\"2015/09/20\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/09/20?\", \"49 minutes\"], [\"what did I read on 2015/09/20?\", \"social media\"], [\"Did I read on 2015/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/22\": {\"exercise\": {\"eid\": \"e3625\", \"logical_representation\": [\"2015/09/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/09/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2015/09/24\": {\"lunch\": {\"eid\": \"e3629\", \"logical_representation\": [\"2015/09/24\", \"lunch\", \"tacos\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/09/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3630\", \"logical_representation\": [\"2015/09/24\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/24?\", \"11 minutes\"], [\"what did I watch on tv on 2015/09/24?\", \"news\"], [\"Did I watch tv on 2015/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/25\": {\"chat0\": {\"eid\": \"e3631\", \"logical_representation\": [\"2015/09/25\", \"Rylee, Avery, Hazel, Nevaeh\", \"during lunch hours\", \"27 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery, Hazel, Nevaeh for 27 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery, Hazel, Nevaeh during lunch hours on 2015/09/25?\", \"27 minutes\"], [\"who did I talk to on 2015/09/25?\", \"Rylee, Avery, Hazel, Nevaeh\"], [\"Did I talk to Rylee, Avery, Hazel, Nevaeh on 2015/09/25?\", \"yes\"], [\"Did I talk to anyone on 2015/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/26\": {\"chat0\": {\"eid\": \"e3632\", \"logical_representation\": [\"2015/09/26\", \"Hazel\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2015/09/26?\", \"42 minutes\"], [\"who did I talk to on 2015/09/26?\", \"Hazel\"], [\"Did I talk to Hazel on 2015/09/26?\", \"yes\"], [\"Did I talk to anyone on 2015/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3633\", \"logical_representation\": [\"2015/09/26\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/09/26?\", \"52 minutes\"], [\"what did I watch on tv on 2015/09/26?\", \"news\"], [\"Did I watch tv on 2015/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/09/30\": {\"exercise\": {\"eid\": \"e3638\", \"logical_representation\": [\"2015/09/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/09/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/09/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3639\", \"logical_representation\": [\"2015/09/30\", \"lunch\", \"sushi\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had sushi for lunch with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/09/30?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2015/09/30\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2015/10/02\": {\"exercise\": {\"eid\": \"e3641\", \"logical_representation\": [\"2015/10/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/10/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3642\", \"logical_representation\": [\"2015/10/02\", \"lunch\", \"indian food\", \"Olivia, Hazel, Nora, Layla\"], \"text_template_based\": \"I had lunch with Olivia, Hazel, Nora, Layla. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/10/02?\", \"Olivia, Hazel, Nora, Layla\"], [\"what did I eat for lunch on 2015/10/02\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2015/10/03\": {\"read\": {\"eid\": \"e3643\", \"logical_representation\": [\"2015/10/03\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/10/03?\", \"54 minutes\"], [\"what did I read on 2015/10/03?\", \"news\"], [\"Did I read on 2015/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/05\": {\"exercise\": {\"eid\": \"e3644\", \"logical_representation\": [\"2015/10/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/10/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2015/10/06\": {\"lunch\": {\"eid\": \"e3645\", \"logical_representation\": [\"2015/10/06\", \"lunch\", \"chinese food\", \"Nevaeh, Claire, Layla, Kinsley, Piper, Hazel, Olivia, Nora, Rylee, Eva, Piper\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/10/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3646\", \"logical_representation\": [\"2015/10/06\", \"Avery\", \"in the late afternoon\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2015/10/06?\", \"22 minutes\"], [\"who did I talk to on 2015/10/06?\", \"Avery\"], [\"Did I talk to Avery on 2015/10/06?\", \"yes\"], [\"Did I talk to anyone on 2015/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/07\": {\"exercise\": {\"eid\": \"e3647\", \"logical_representation\": [\"2015/10/07\", \"biking\"], \"text_template_based\": \"I did biking on 2015/10/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/07?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3648\", \"logical_representation\": [\"2015/10/07\", \"breakfast\", \"peanut-butter-jam\", \"Hazel, Olivia, Nora, Rylee, Avery, Nevaeh, Claire, Lydia, Piper, Layla, Eva, Kinsley, Piper\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/10/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3649\", \"logical_representation\": [\"2015/10/07\", \"lunch\", \"sandwich\", \"Piper, Layla, Avery, Eva\"], \"text_template_based\": \"I had sandwich for lunch with Piper, Layla, Avery, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/10/07?\", \"Piper, Layla, Avery, Eva\"], [\"what did I eat for lunch on 2015/10/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2015/10/10\": {\"lunch\": {\"eid\": \"e3652\", \"logical_representation\": [\"2015/10/10\", \"lunch\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/10/10\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2015/10/13\": {\"watch tv\": {\"eid\": \"e3654\", \"logical_representation\": [\"2015/10/13\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/13?\", \"26 minutes\"], [\"what did I watch on tv on 2015/10/13?\", \"a documentary\"], [\"Did I watch tv on 2015/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/14\": {\"chat0\": {\"eid\": \"e3655\", \"logical_representation\": [\"2015/10/14\", \"Layla, Avery, Piper, Claire\", \"in the morning\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Layla, Avery, Piper, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Piper, Claire in the morning on 2015/10/14?\", \"49 minutes\"], [\"who did I talk to on 2015/10/14?\", \"Layla, Avery, Piper, Claire\"], [\"Did I talk to Layla, Avery, Piper, Claire on 2015/10/14?\", \"yes\"], [\"Did I talk to anyone on 2015/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/15\": {\"breakfast\": {\"eid\": \"e3656\", \"logical_representation\": [\"2015/10/15\", \"breakfast\", \"oatmeal\", \"Emily, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/10/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3657\", \"logical_representation\": [\"2015/10/15\", \"lunch\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/10/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3658\", \"logical_representation\": [\"2015/10/15\", \"a documentary\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/15?\", \"20 minutes\"], [\"what did I watch on tv on 2015/10/15?\", \"a documentary\"], [\"Did I watch tv on 2015/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/16\": {\"exercise\": {\"eid\": \"e3659\", \"logical_representation\": [\"2015/10/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/10/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3660\", \"logical_representation\": [\"2015/10/16\", \"lunch\", \"pasta\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I had lunch with Avery, Willow, Jackson. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/10/16?\", \"Avery, Willow, Jackson\"], [\"what did I eat for lunch on 2015/10/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3661\", \"logical_representation\": [\"2015/10/16\", \"dinner\", \"chinese food\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Emily, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/10/16?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for dinner on 2015/10/16\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3662\", \"logical_representation\": [\"2015/10/16\", \"Claire\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2015/10/16?\", \"9 minutes\"], [\"who did I talk to on 2015/10/16?\", \"Claire\"], [\"Did I talk to Claire on 2015/10/16?\", \"yes\"], [\"Did I talk to anyone on 2015/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/17\": {\"breakfast\": {\"eid\": \"e3663\", \"logical_representation\": [\"2015/10/17\", \"breakfast\", \"toast and cheese\", \"Willow, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/10/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3664\", \"logical_representation\": [\"2015/10/17\", \"lunch\", \"a burger\", \"Avery, Jackson\"], \"text_template_based\": \"I had a burger for lunch with Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/10/17?\", \"Avery, Jackson\"], [\"what did I eat for lunch on 2015/10/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3665\", \"logical_representation\": [\"2015/10/17\", \"Kinsley\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I talked to Kinsley for 36 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2015/10/17?\", \"36 minutes\"], [\"who did I talk to on 2015/10/17?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2015/10/17?\", \"yes\"], [\"Did I talk to anyone on 2015/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/18\": {\"exercise\": {\"eid\": \"e3666\", \"logical_representation\": [\"2015/10/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/10/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3667\", \"logical_representation\": [\"2015/10/18\", \"dinner\", \"steak\", \"Nora, Eva, Avery, Piper, Lydia\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/18\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2015/10/20\": {\"exercise\": {\"eid\": \"e3669\", \"logical_representation\": [\"2015/10/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/10/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3670\", \"logical_representation\": [\"2015/10/20\", \"lunch\", \"sushi\", \"Benjamin, Jackson\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/10/20\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2015/10/23\": {\"chat0\": {\"eid\": \"e3671\", \"logical_representation\": [\"2015/10/23\", \"Claire, Hazel, Olivia, Nora\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Claire, Hazel, Olivia, Nora for 49 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Olivia, Nora late in the evening on 2015/10/23?\", \"49 minutes\"], [\"who did I talk to on 2015/10/23?\", \"Claire, Hazel, Olivia, Nora\"], [\"Did I talk to Claire, Hazel, Olivia, Nora on 2015/10/23?\", \"yes\"], [\"Did I talk to anyone on 2015/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3672\", \"logical_representation\": [\"2015/10/23\", \"news\", \"53 minutes\"], \"text_template_based\": \"I watched news for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/23?\", \"53 minutes\"], [\"what did I watch on tv on 2015/10/23?\", \"news\"], [\"Did I watch tv on 2015/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/24\": {\"breakfast\": {\"eid\": \"e3673\", \"logical_representation\": [\"2015/10/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Olivia, Piper, Kinsley, Rylee, Lydia, Claire, Hazel, Piper, Eva, Nora, Avery\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/10/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3674\", \"logical_representation\": [\"2015/10/24\", \"Eva\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I talked to Eva for 26 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the morning on 2015/10/24?\", \"26 minutes\"], [\"who did I talk to on 2015/10/24?\", \"Eva\"], [\"Did I talk to Eva on 2015/10/24?\", \"yes\"], [\"Did I talk to anyone on 2015/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3675\", \"logical_representation\": [\"2015/10/24\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I watched a tv series for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/24?\", \"24 minutes\"], [\"what did I watch on tv on 2015/10/24?\", \"a tv series\"], [\"Did I watch tv on 2015/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/28\": {\"exercise\": {\"eid\": \"e3676\", \"logical_representation\": [\"2015/10/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/10/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3677\", \"logical_representation\": [\"2015/10/28\", \"Layla\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2015/10/28?\", \"28 minutes\"], [\"who did I talk to on 2015/10/28?\", \"Layla\"], [\"Did I talk to Layla on 2015/10/28?\", \"yes\"], [\"Did I talk to anyone on 2015/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3678\", \"logical_representation\": [\"2015/10/28\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/10/28?\", \"44 minutes\"], [\"what did I read on 2015/10/28?\", \"social media\"], [\"Did I read on 2015/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3679\", \"logical_representation\": [\"2015/10/28\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I watched a movie for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/28?\", \"46 minutes\"], [\"what did I watch on tv on 2015/10/28?\", \"a movie\"], [\"Did I watch tv on 2015/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/29\": {\"exercise\": {\"eid\": \"e3680\", \"logical_representation\": [\"2015/10/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/10/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/10/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3681\", \"logical_representation\": [\"2015/10/29\", \"Hazel, Rylee\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Hazel, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee in the morning on 2015/10/29?\", \"38 minutes\"], [\"who did I talk to on 2015/10/29?\", \"Hazel, Rylee\"], [\"Did I talk to Hazel, Rylee on 2015/10/29?\", \"yes\"], [\"Did I talk to anyone on 2015/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/10/30\": {\"dinner\": {\"eid\": \"e3682\", \"logical_representation\": [\"2015/10/30\", \"dinner\", \"sushi\", \"Nevaeh, Olivia, Layla, Nora, Lydia, Kinsley, Eva, Claire, Hazel\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/10/30\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2015/10/31\": {\"watch tv\": {\"eid\": \"e3683\", \"logical_representation\": [\"2015/10/31\", \"a tv series\", \"15 minutes\"], \"text_template_based\": \"I watched a tv series for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/10/31?\", \"15 minutes\"], [\"what did I watch on tv on 2015/10/31?\", \"a tv series\"], [\"Did I watch tv on 2015/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/01\": {\"breakfast\": {\"eid\": \"e3684\", \"logical_representation\": [\"2015/11/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/11/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3685\", \"logical_representation\": [\"2015/11/01\", \"lunch\", \"sandwich\", \"Eva, Nevaeh, Nora, Piper, Kinsley, Hazel\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/11/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3686\", \"logical_representation\": [\"2015/11/01\", \"Kinsley, Olivia, Claire\", \"in the morning\", \"18 minutes\"], \"text_template_based\": \"I talked to Kinsley, Olivia, Claire for 18 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Claire in the morning on 2015/11/01?\", \"18 minutes\"], [\"who did I talk to on 2015/11/01?\", \"Kinsley, Olivia, Claire\"], [\"Did I talk to Kinsley, Olivia, Claire on 2015/11/01?\", \"yes\"], [\"Did I talk to anyone on 2015/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/03\": {\"breakfast\": {\"eid\": \"e3687\", \"logical_representation\": [\"2015/11/03\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/11/03?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2015/11/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3688\", \"logical_representation\": [\"2015/11/03\", \"dinner\", \"pasta\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had pasta for dinner with Willow, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/11/03?\", \"Willow, Jackson, Benjamin\"], [\"what did I eat for dinner on 2015/11/03\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3689\", \"logical_representation\": [\"2015/11/03\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/11/03?\", \"54 minutes\"], [\"what did I read on 2015/11/03?\", \"social media\"], [\"Did I read on 2015/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3690\", \"logical_representation\": [\"2015/11/03\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/03?\", \"49 minutes\"], [\"what did I watch on tv on 2015/11/03?\", \"news\"], [\"Did I watch tv on 2015/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/04\": {\"chat0\": {\"eid\": \"e3691\", \"logical_representation\": [\"2015/11/04\", \"Claire, Kinsley, Layla, Nevaeh\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I talked to Claire, Kinsley, Layla, Nevaeh for 54 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Layla, Nevaeh during lunch hours on 2015/11/04?\", \"54 minutes\"], [\"who did I talk to on 2015/11/04?\", \"Claire, Kinsley, Layla, Nevaeh\"], [\"Did I talk to Claire, Kinsley, Layla, Nevaeh on 2015/11/04?\", \"yes\"], [\"Did I talk to anyone on 2015/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/05\": {\"exercise\": {\"eid\": \"e3692\", \"logical_representation\": [\"2015/11/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/11/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2015/11/06\": {\"dinner\": {\"eid\": \"e3693\", \"logical_representation\": [\"2015/11/06\", \"dinner\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/11/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3694\", \"logical_representation\": [\"2015/11/06\", \"Nevaeh\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early afternoon on 2015/11/06?\", \"9 minutes\"], [\"who did I talk to on 2015/11/06?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2015/11/06?\", \"yes\"], [\"Did I talk to anyone on 2015/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3695\", \"logical_representation\": [\"2015/11/06\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/11/06?\", \"9 minutes\"], [\"what did I read on 2015/11/06?\", \"social media\"], [\"Did I read on 2015/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/07\": {\"dinner\": {\"eid\": \"e3696\", \"logical_representation\": [\"2015/11/07\", \"dinner\", \"indian food\", \"Eva, Avery, Piper, Layla, Nora, Hazel, Nevaeh, Kinsley, Piper\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/11/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3697\", \"logical_representation\": [\"2015/11/07\", \"Hazel\", \"in the morning\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the morning on 2015/11/07?\", \"34 minutes\"], [\"who did I talk to on 2015/11/07?\", \"Hazel\"], [\"Did I talk to Hazel on 2015/11/07?\", \"yes\"], [\"Did I talk to anyone on 2015/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/08\": {\"lunch\": {\"eid\": \"e3698\", \"logical_representation\": [\"2015/11/08\", \"lunch\", \"indian food\", \"Carter, Emily\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/11/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3699\", \"logical_representation\": [\"2015/11/08\", \"Nevaeh, Piper, Claire, Nora\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Claire, Nora for 32 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Claire, Nora late in the evening on 2015/11/08?\", \"32 minutes\"], [\"who did I talk to on 2015/11/08?\", \"Nevaeh, Piper, Claire, Nora\"], [\"Did I talk to Nevaeh, Piper, Claire, Nora on 2015/11/08?\", \"yes\"], [\"Did I talk to anyone on 2015/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/10\": {\"chat0\": {\"eid\": \"e3701\", \"logical_representation\": [\"2015/11/10\", \"Layla\", \"in the early afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2015/11/10?\", \"50 minutes\"], [\"who did I talk to on 2015/11/10?\", \"Layla\"], [\"Did I talk to Layla on 2015/11/10?\", \"yes\"], [\"Did I talk to anyone on 2015/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3702\", \"logical_representation\": [\"2015/11/10\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/11/10?\", \"8 minutes\"], [\"what did I read on 2015/11/10?\", \"a book\"], [\"Did I read on 2015/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/11\": {\"exercise\": {\"eid\": \"e3703\", \"logical_representation\": [\"2015/11/11\", \"running\"], \"text_template_based\": \"I did running on 2015/11/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/11?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3704\", \"logical_representation\": [\"2015/11/11\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/11/11\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3705\", \"logical_representation\": [\"2015/11/11\", \"Layla, Rylee, Eva\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I talked to Layla, Rylee, Eva for 46 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Eva in the late afternoon on 2015/11/11?\", \"46 minutes\"], [\"who did I talk to on 2015/11/11?\", \"Layla, Rylee, Eva\"], [\"Did I talk to Layla, Rylee, Eva on 2015/11/11?\", \"yes\"], [\"Did I talk to anyone on 2015/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/12\": {\"read\": {\"eid\": \"e3706\", \"logical_representation\": [\"2015/11/12\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/11/12?\", \"37 minutes\"], [\"what did I read on 2015/11/12?\", \"news\"], [\"Did I read on 2015/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/13\": {\"watch tv\": {\"eid\": \"e3707\", \"logical_representation\": [\"2015/11/13\", \"a documentary\", \"48 minutes\"], \"text_template_based\": \"I watched a documentary for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/11/13?\", \"48 minutes\"], [\"what did I watch on tv on 2015/11/13?\", \"a documentary\"], [\"Did I watch tv on 2015/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/14\": {\"dinner\": {\"eid\": \"e3708\", \"logical_representation\": [\"2015/11/14\", \"dinner\", \"pasta\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/11/14\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2015/11/15\": {\"lunch\": {\"eid\": \"e3709\", \"logical_representation\": [\"2015/11/15\", \"lunch\", \"steak\", \"Eva, Rylee, Layla, Hazel\"], \"text_template_based\": \"I had steak for lunch with Eva, Rylee, Layla, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/11/15?\", \"Eva, Rylee, Layla, Hazel\"], [\"what did I eat for lunch on 2015/11/15\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2015/11/16\": {\"exercise\": {\"eid\": \"e3710\", \"logical_representation\": [\"2015/11/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2015/11/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3711\", \"logical_representation\": [\"2015/11/16\", \"lunch\", \"indian food\", \"Willow\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/11/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3712\", \"logical_representation\": [\"2015/11/16\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/11/16?\", \"44 minutes\"], [\"what did I read on 2015/11/16?\", \"social media\"], [\"Did I read on 2015/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/17\": {\"chat0\": {\"eid\": \"e3713\", \"logical_representation\": [\"2015/11/17\", \"Kinsley, Piper, Eva, Hazel\", \"late in the evening\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Kinsley, Piper, Eva, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Eva, Hazel late in the evening on 2015/11/17?\", \"8 minutes\"], [\"who did I talk to on 2015/11/17?\", \"Kinsley, Piper, Eva, Hazel\"], [\"Did I talk to Kinsley, Piper, Eva, Hazel on 2015/11/17?\", \"yes\"], [\"Did I talk to anyone on 2015/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/18\": {\"breakfast\": {\"eid\": \"e3714\", \"logical_representation\": [\"2015/11/18\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden, Emily. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/11/18?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2015/11/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/20\": {\"lunch\": {\"eid\": \"e3716\", \"logical_representation\": [\"2015/11/20\", \"lunch\", \"chinese food\", \"Claire\"], \"text_template_based\": \"I had lunch with Claire. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/11/20?\", \"Claire\"], [\"what did I eat for lunch on 2015/11/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3717\", \"logical_representation\": [\"2015/11/20\", \"dinner\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/11/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3718\", \"logical_representation\": [\"2015/11/20\", \"Piper, Olivia\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Piper, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the early evening on 2015/11/20?\", \"5 minutes\"], [\"who did I talk to on 2015/11/20?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2015/11/20?\", \"yes\"], [\"Did I talk to anyone on 2015/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/21\": {\"breakfast\": {\"eid\": \"e3719\", \"logical_representation\": [\"2015/11/21\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Kinsley, Hazel, Nora, Nevaeh, Eva\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/11/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3720\", \"logical_representation\": [\"2015/11/21\", \"Piper, Rylee\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee for 25 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the late afternoon on 2015/11/21?\", \"25 minutes\"], [\"who did I talk to on 2015/11/21?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2015/11/21?\", \"yes\"], [\"Did I talk to anyone on 2015/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3721\", \"logical_representation\": [\"2015/11/21\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/11/21?\", \"52 minutes\"], [\"what did I read on 2015/11/21?\", \"news\"], [\"Did I read on 2015/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/22\": {\"read\": {\"eid\": \"e3722\", \"logical_representation\": [\"2015/11/22\", \"news\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/11/22?\", \"45 minutes\"], [\"what did I read on 2015/11/22?\", \"news\"], [\"Did I read on 2015/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/25\": {\"read\": {\"eid\": \"e3726\", \"logical_representation\": [\"2015/11/25\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/11/25?\", \"53 minutes\"], [\"what did I read on 2015/11/25?\", \"a book\"], [\"Did I read on 2015/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/26\": {\"exercise\": {\"eid\": \"e3727\", \"logical_representation\": [\"2015/11/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/11/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3728\", \"logical_representation\": [\"2015/11/26\", \"Lydia, Olivia, Nevaeh\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Lydia, Olivia, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Nevaeh in the morning on 2015/11/26?\", \"26 minutes\"], [\"who did I talk to on 2015/11/26?\", \"Lydia, Olivia, Nevaeh\"], [\"Did I talk to Lydia, Olivia, Nevaeh on 2015/11/26?\", \"yes\"], [\"Did I talk to anyone on 2015/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/27\": {\"read\": {\"eid\": \"e3729\", \"logical_representation\": [\"2015/11/27\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/11/27?\", \"29 minutes\"], [\"what did I read on 2015/11/27?\", \"a book\"], [\"Did I read on 2015/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/28\": {\"lunch\": {\"eid\": \"e3730\", \"logical_representation\": [\"2015/11/28\", \"lunch\", \"steak\", \"Willow\"], \"text_template_based\": \"I had steak for lunch with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/11/28?\", \"Willow\"], [\"what did I eat for lunch on 2015/11/28\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3731\", \"logical_representation\": [\"2015/11/28\", \"Avery, Olivia\", \"late in the evening\", \"54 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia for 54 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia late in the evening on 2015/11/28?\", \"54 minutes\"], [\"who did I talk to on 2015/11/28?\", \"Avery, Olivia\"], [\"Did I talk to Avery, Olivia on 2015/11/28?\", \"yes\"], [\"Did I talk to anyone on 2015/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3732\", \"logical_representation\": [\"2015/11/28\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/11/28?\", \"32 minutes\"], [\"what did I read on 2015/11/28?\", \"a book\"], [\"Did I read on 2015/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/11/29\": {\"breakfast\": {\"eid\": \"e3733\", \"logical_representation\": [\"2015/11/29\", \"breakfast\", \"oatmeal\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/11/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2015/11/30\": {\"exercise\": {\"eid\": \"e3734\", \"logical_representation\": [\"2015/11/30\", \"running\"], \"text_template_based\": \"I did running on 2015/11/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/11/30?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2015/12/01\": {\"breakfast\": {\"eid\": \"e3735\", \"logical_representation\": [\"2015/12/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Rylee, Claire, Nora, Lydia, Nevaeh, Hazel, Layla, Kinsley, Eva, Olivia, Avery\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Rylee, Claire, Nora, Lydia, Nevaeh, Hazel, Layla, Kinsley, Eva, Olivia, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/01?\", \"Rylee, Claire, Nora, Lydia, Nevaeh, Hazel, Layla, Kinsley, Eva, Olivia, Avery\"], [\"what did I eat for breakfast on 2015/12/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3736\", \"logical_representation\": [\"2015/12/01\", \"Piper, Rylee, Eva, Nevaeh\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Piper, Rylee, Eva, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Eva, Nevaeh in the early afternoon on 2015/12/01?\", \"9 minutes\"], [\"who did I talk to on 2015/12/01?\", \"Piper, Rylee, Eva, Nevaeh\"], [\"Did I talk to Piper, Rylee, Eva, Nevaeh on 2015/12/01?\", \"yes\"], [\"Did I talk to anyone on 2015/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/02\": {\"exercise\": {\"eid\": \"e3737\", \"logical_representation\": [\"2015/12/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/12/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3738\", \"logical_representation\": [\"2015/12/02\", \"breakfast\", \"pancakes\", \"Claire, Layla\"], \"text_template_based\": \"I had pancakes for breakfast with Claire, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/02?\", \"Claire, Layla\"], [\"what did I eat for breakfast on 2015/12/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3739\", \"logical_representation\": [\"2015/12/02\", \"lunch\", \"a burger\", \"Rylee, Eva, Claire, Nora\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3740\", \"logical_representation\": [\"2015/12/02\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/02?\", \"22 minutes\"], [\"what did I watch on tv on 2015/12/02?\", \"news\"], [\"Did I watch tv on 2015/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/03\": {\"dinner\": {\"eid\": \"e3741\", \"logical_representation\": [\"2015/12/03\", \"dinner\", \"chinese food\", \"Nevaeh\"], \"text_template_based\": \"I had chinese food for dinner with Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/12/03?\", \"Nevaeh\"], [\"what did I eat for dinner on 2015/12/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3742\", \"logical_representation\": [\"2015/12/03\", \"Kinsley, Piper\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Kinsley, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper during lunch hours on 2015/12/03?\", \"44 minutes\"], [\"who did I talk to on 2015/12/03?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2015/12/03?\", \"yes\"], [\"Did I talk to anyone on 2015/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3743\", \"logical_representation\": [\"2015/12/03\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/12/03?\", \"53 minutes\"], [\"what did I read on 2015/12/03?\", \"a book\"], [\"Did I read on 2015/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/06\": {\"exercise\": {\"eid\": \"e3750\", \"logical_representation\": [\"2015/12/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2015/12/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3751\", \"logical_representation\": [\"2015/12/06\", \"a documentary\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/06?\", \"15 minutes\"], [\"what did I watch on tv on 2015/12/06?\", \"a documentary\"], [\"Did I watch tv on 2015/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/09\": {\"lunch\": {\"eid\": \"e3757\", \"logical_representation\": [\"2015/12/09\", \"lunch\", \"pasta\", \"Rylee\"], \"text_template_based\": \"I had lunch with Rylee. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2015/12/09?\", \"Rylee\"], [\"what did I eat for lunch on 2015/12/09\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3758\", \"logical_representation\": [\"2015/12/09\", \"Lydia, Kinsley, Piper, Rylee\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley, Piper, Rylee for 13 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Piper, Rylee in the late afternoon on 2015/12/09?\", \"13 minutes\"], [\"who did I talk to on 2015/12/09?\", \"Lydia, Kinsley, Piper, Rylee\"], [\"Did I talk to Lydia, Kinsley, Piper, Rylee on 2015/12/09?\", \"yes\"], [\"Did I talk to anyone on 2015/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/10\": {\"breakfast\": {\"eid\": \"e3759\", \"logical_representation\": [\"2015/12/10\", \"breakfast\", \"toast and cheese\", \"Avery\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3760\", \"logical_representation\": [\"2015/12/10\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2015/12/10?\", \"17 minutes\"], [\"what did I read on 2015/12/10?\", \"news\"], [\"Did I read on 2015/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/14\": {\"lunch\": {\"eid\": \"e3766\", \"logical_representation\": [\"2015/12/14\", \"lunch\", \"fish and chips\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2015/12/16\": {\"breakfast\": {\"eid\": \"e3770\", \"logical_representation\": [\"2015/12/16\", \"breakfast\", \"cereals\", \"Jackson, Willow\"], \"text_template_based\": \"I had cereals for breakfast with Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/16?\", \"Jackson, Willow\"], [\"what did I eat for breakfast on 2015/12/16\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3771\", \"logical_representation\": [\"2015/12/16\", \"Avery\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery during lunch hours on 2015/12/16?\", \"47 minutes\"], [\"who did I talk to on 2015/12/16?\", \"Avery\"], [\"Did I talk to Avery on 2015/12/16?\", \"yes\"], [\"Did I talk to anyone on 2015/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/18\": {\"lunch\": {\"eid\": \"e3772\", \"logical_representation\": [\"2015/12/18\", \"lunch\", \"sandwich\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3773\", \"logical_representation\": [\"2015/12/18\", \"Eva, Nevaeh, Piper\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Eva, Nevaeh, Piper for 26 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Piper in the early evening on 2015/12/18?\", \"26 minutes\"], [\"who did I talk to on 2015/12/18?\", \"Eva, Nevaeh, Piper\"], [\"Did I talk to Eva, Nevaeh, Piper on 2015/12/18?\", \"yes\"], [\"Did I talk to anyone on 2015/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3774\", \"logical_representation\": [\"2015/12/18\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/18?\", \"14 minutes\"], [\"what did I watch on tv on 2015/12/18?\", \"a movie\"], [\"Did I watch tv on 2015/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/19\": {\"lunch\": {\"eid\": \"e3775\", \"logical_representation\": [\"2015/12/19\", \"lunch\", \"fish and chips\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2015/12/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2015/12/20\": {\"dinner\": {\"eid\": \"e3776\", \"logical_representation\": [\"2015/12/20\", \"dinner\", \"indian food\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Kayden, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2015/12/20?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for dinner on 2015/12/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3777\", \"logical_representation\": [\"2015/12/20\", \"Avery, Nevaeh\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Avery, Nevaeh for 26 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh late in the evening on 2015/12/20?\", \"26 minutes\"], [\"who did I talk to on 2015/12/20?\", \"Avery, Nevaeh\"], [\"Did I talk to Avery, Nevaeh on 2015/12/20?\", \"yes\"], [\"Did I talk to anyone on 2015/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3778\", \"logical_representation\": [\"2015/12/20\", \"news\", \"51 minutes\"], \"text_template_based\": \"I watched news for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/20?\", \"51 minutes\"], [\"what did I watch on tv on 2015/12/20?\", \"news\"], [\"Did I watch tv on 2015/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/22\": {\"chat0\": {\"eid\": \"e3779\", \"logical_representation\": [\"2015/12/22\", \"Nora, Lydia, Rylee, Olivia\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I talked to Nora, Lydia, Rylee, Olivia for 38 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Rylee, Olivia in the morning on 2015/12/22?\", \"38 minutes\"], [\"who did I talk to on 2015/12/22?\", \"Nora, Lydia, Rylee, Olivia\"], [\"Did I talk to Nora, Lydia, Rylee, Olivia on 2015/12/22?\", \"yes\"], [\"Did I talk to anyone on 2015/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/23\": {\"exercise\": {\"eid\": \"e3780\", \"logical_representation\": [\"2015/12/23\", \"biking\"], \"text_template_based\": \"I did biking on 2015/12/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/23?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3781\", \"logical_representation\": [\"2015/12/23\", \"dinner\", \"a burger\", \"Lydia, Avery, Nevaeh, Rylee, Claire, Eva, Olivia, Nora, Layla\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3782\", \"logical_representation\": [\"2015/12/23\", \"Piper, Layla\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Piper, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla in the early evening on 2015/12/23?\", \"53 minutes\"], [\"who did I talk to on 2015/12/23?\", \"Piper, Layla\"], [\"Did I talk to Piper, Layla on 2015/12/23?\", \"yes\"], [\"Did I talk to anyone on 2015/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/24\": {\"breakfast\": {\"eid\": \"e3783\", \"logical_representation\": [\"2015/12/24\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/24?\", \"Carter\"], [\"what did I eat for breakfast on 2015/12/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3784\", \"logical_representation\": [\"2015/12/24\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/12/24?\", \"19 minutes\"], [\"what did I read on 2015/12/24?\", \"a book\"], [\"Did I read on 2015/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3785\", \"logical_representation\": [\"2015/12/24\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I watched a tv series for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/24?\", \"32 minutes\"], [\"what did I watch on tv on 2015/12/24?\", \"a tv series\"], [\"Did I watch tv on 2015/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/26\": {\"breakfast\": {\"eid\": \"e3788\", \"logical_representation\": [\"2015/12/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Kayden, Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2015/12/26?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for breakfast on 2015/12/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3789\", \"logical_representation\": [\"2015/12/26\", \"dinner\", \"chinese food\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2015/12/29\": {\"exercise\": {\"eid\": \"e3797\", \"logical_representation\": [\"2015/12/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2015/12/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2015/12/30\": {\"exercise\": {\"eid\": \"e3798\", \"logical_representation\": [\"2015/12/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2015/12/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2015/12/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3799\", \"logical_representation\": [\"2015/12/30\", \"dinner\", \"a burger\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2015/12/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3800\", \"logical_representation\": [\"2015/12/30\", \"Hazel, Kinsley\", \"in the morning\", \"10 minutes\"], \"text_template_based\": \"I talked to Hazel, Kinsley for 10 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Kinsley in the morning on 2015/12/30?\", \"10 minutes\"], [\"who did I talk to on 2015/12/30?\", \"Hazel, Kinsley\"], [\"Did I talk to Hazel, Kinsley on 2015/12/30?\", \"yes\"], [\"Did I talk to anyone on 2015/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3801\", \"logical_representation\": [\"2015/12/30\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2015/12/30?\", \"28 minutes\"], [\"what did I read on 2015/12/30?\", \"social media\"], [\"Did I read on 2015/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3802\", \"logical_representation\": [\"2015/12/30\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I watched a tv series for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2015/12/30?\", \"50 minutes\"], [\"what did I watch on tv on 2015/12/30?\", \"a tv series\"], [\"Did I watch tv on 2015/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2015/12/31\": {\"breakfast\": {\"eid\": \"e3803\", \"logical_representation\": [\"2015/12/31\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2015/12/31\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3804\", \"logical_representation\": [\"2015/12/31\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2015/12/31?\", \"17 minutes\"], [\"what did I read on 2015/12/31?\", \"a book\"], [\"Did I read on 2015/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/07\": {\"travel\": {\"eid\": \"e3805\", \"logical_representation\": [\"2016/05/07\", \"2016/05/20\", [\"Andrew\"], \"London, UK\"], \"text_template_based\": \"On 2016/05/07 Andrew and I went to London, UK together for 13 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to London, UK on 2016/05/07?\", \"Andrew\"], [\"who did I go with to London, UK?\", \"Andrew\"], [\"where did I go on 2016/05/07?\", \"London, UK\"], [\"when did I go to London, UK?\", \"2016/05/07\"], [\"when did I go to London, UK with Andrew ?\", \"2016/05/07\"], [\"How long did I stay in London, UK?\", \"13\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4106\", \"logical_representation\": [\"2016/05/07\", \"Piper\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Piper for 13 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2016/05/07?\", \"13 minutes\"], [\"who did I talk to on 2016/05/07?\", \"Piper\"], [\"Did I talk to Piper on 2016/05/07?\", \"yes\"], [\"Did I talk to anyone on 2016/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/08\": {\"places_visited\": {\"eid\": \"e3806\", \"logical_representation\": [\"2016/05/08\", [\"Andrew\"], \"Westminster\", \"took a group photo\", \"happy\"], \"text_template_based\": \"During my trip to London, UK, I visited Westminster on 2016/05 with Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to London, UK on 2016/05\", \"Westminster\"], [\"when did I visit Westminster during my trip to London, UK\", \"2016/05/08\"], [\"when did I visit Westminster \", \"2016/05/08\"], [\"who went with me to visit Westminster ?\", \"Andrew\"], [\"who went with me to visit Westminster during my trip to London, UK on 2016/05?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e3811\", \"logical_representation\": [\"2016/05/08\", [\"Andrew\"], \"Indian food\", \"Broadway Market\"], \"text_template_based\": \"I ate Indian food at Broadway Market with Andrew on  2016/05/08 when I was in London, UK.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Broadway Market ?\", \"Andrew\"], [\"who did I eat Indian food with?\", \"Andrew\"], [\"where did we eat Indian food during our trip to London, UK on  2016/05/08?\", \"Broadway Market\"], [\"when did we eat Indian food at Broadway Market during our trip to London, UK?\", \"2016/05/08\"], [\"when did we eat at Broadway Market?\", \"2016/05/08\"], [\"when did we eat Indian food?\", \"2016/05/08\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4107\", \"logical_representation\": [\"2016/05/08\", \"lunch\", \"indian food\", \"Claire, Kinsley, Lydia, Piper, Rylee, Avery, Nevaeh, Nora, Layla, Eva, Piper, Hazel\"], \"text_template_based\": \"I had indian food for lunch with Claire, Kinsley, Lydia, Piper, Rylee, Avery, Nevaeh, Nora, Layla, Eva, Piper, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/05/08?\", \"Claire, Kinsley, Lydia, Piper, Rylee, Avery, Nevaeh, Nora, Layla, Eva, Piper, Hazel\"], [\"what did I eat for lunch on 2016/05/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4108\", \"logical_representation\": [\"2016/05/08\", \"Kinsley\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Kinsley for 5 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2016/05/08?\", \"5 minutes\"], [\"who did I talk to on 2016/05/08?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2016/05/08?\", \"yes\"], [\"Did I talk to anyone on 2016/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/09\": {\"places_visited\": {\"eid\": \"e3807\", \"logical_representation\": [\"2016/05/09\", [\"Andrew\"], \"Hyde Park\", \"took a group photo\", \"special\"], \"text_template_based\": \"During my trip to London, UK, I visited Hyde Park on 2016/05 with Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to London, UK on 2016/05\", \"Hyde Park\"], [\"when did I visit Hyde Park during my trip to London, UK\", \"2016/05/09\"], [\"when did I visit Hyde Park \", \"2016/05/09\"], [\"who went with me to visit Hyde Park ?\", \"Andrew\"], [\"who went with me to visit Hyde Park during my trip to London, UK on 2016/05?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e3812\", \"logical_representation\": [\"2016/05/09\", [\"Andrew\"], \"Chinese food\", \"Brixton Village\"], \"text_template_based\": \"I ate Chinese food at Brixton Village with Andrew on  2016/05/09 when I was in London, UK.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Brixton Village ?\", \"Andrew\"], [\"who did I eat Chinese food with?\", \"Andrew\"], [\"where did we eat Chinese food during our trip to London, UK on  2016/05/09?\", \"Brixton Village\"], [\"when did we eat Chinese food at Brixton Village during our trip to London, UK?\", \"2016/05/09\"], [\"when did we eat at Brixton Village?\", \"2016/05/09\"], [\"when did we eat Chinese food?\", \"2016/05/09\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4109\", \"logical_representation\": [\"2016/05/09\", \"news\", \"49 minutes\"], \"text_template_based\": \"I watched news for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/09?\", \"49 minutes\"], [\"what did I watch on tv on 2016/05/09?\", \"news\"], [\"Did I watch tv on 2016/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/10\": {\"places_visited\": {\"eid\": \"e3808\", \"logical_representation\": [\"2016/05/10\", [\"Andrew\"], \"Camden\", \"took a group photo\", \"impressed\"], \"text_template_based\": \"During my trip to London, UK, I visited Camden on 2016/05 with Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to London, UK on 2016/05\", \"Camden\"], [\"when did I visit Camden during my trip to London, UK\", \"2016/05/10\"], [\"when did I visit Camden \", \"2016/05/10\"], [\"who went with me to visit Camden ?\", \"Andrew\"], [\"who went with me to visit Camden during my trip to London, UK on 2016/05?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e3813\", \"logical_representation\": [\"2016/05/10\", [\"Andrew\"], \"Indian food\", \"Berwick Street Market\"], \"text_template_based\": \"I ate Indian food at Berwick Street Market with Andrew on  2016/05/10 when I was in London, UK.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Berwick Street Market ?\", \"Andrew\"], [\"who did I eat Indian food with?\", \"Andrew\"], [\"where did we eat Indian food during our trip to London, UK on  2016/05/10?\", \"Berwick Street Market\"], [\"when did we eat Indian food at Berwick Street Market during our trip to London, UK?\", \"2016/05/10\"], [\"when did we eat at Berwick Street Market?\", \"2016/05/10\"], [\"when did we eat Indian food?\", \"2016/05/10\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4110\", \"logical_representation\": [\"2016/05/10\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4111\", \"logical_representation\": [\"2016/05/10\", \"Nora, Olivia\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia for 18 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia in the late afternoon on 2016/05/10?\", \"18 minutes\"], [\"who did I talk to on 2016/05/10?\", \"Nora, Olivia\"], [\"Did I talk to Nora, Olivia on 2016/05/10?\", \"yes\"], [\"Did I talk to anyone on 2016/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4112\", \"logical_representation\": [\"2016/05/10\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/10?\", \"23 minutes\"], [\"what did I watch on tv on 2016/05/10?\", \"news\"], [\"Did I watch tv on 2016/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/11\": {\"places_visited\": {\"eid\": \"e3809\", \"logical_representation\": [\"2016/05/11\", [\"Andrew\"], \"London Eye\", \"recorded some videos\", \"happy\"], \"text_template_based\": \"During my trip to London, UK, I visited London Eye on 2016/05 with Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to London, UK on 2016/05\", \"London Eye\"], [\"when did I visit London Eye during my trip to London, UK\", \"2016/05/11\"], [\"when did I visit London Eye \", \"2016/05/11\"], [\"who went with me to visit London Eye ?\", \"Andrew\"], [\"who went with me to visit London Eye during my trip to London, UK on 2016/05?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e3814\", \"logical_representation\": [\"2016/05/11\", [\"Andrew\"], \"local food\", \"Broadway Market\"], \"text_template_based\": \"I ate local food at Broadway Market with Andrew on  2016/05/11 when I was in London, UK.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at Broadway Market ?\", \"Andrew\"], [\"who did I eat local food with?\", \"Andrew\"], [\"where did we eat local food during our trip to London, UK on  2016/05/11?\", \"Broadway Market\"], [\"when did we eat local food at Broadway Market during our trip to London, UK?\", \"2016/05/11\"], [\"when did we eat at Broadway Market?\", \"2016/05/11\"], [\"when did we eat local food?\", \"2016/05/11\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3856\", \"logical_representation\": [\"2016/05/11\", \"I went grocery shopping with Andrew. I bought some apples, mineral water, coffee, mango juice, chocolate milk, and toothbrush, mouthwash, toilet paper\", \"apples\", \"mineral water, coffee, mango juice, chocolate milk\", \"toothbrush, mouthwash, toilet paper\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping with Andrew. I bought some apples, mineral water, coffee, mango juice, chocolate milk, and toothbrush, mouthwash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/05/11?\", \"apples, mineral water, coffee, mango juice, chocolate milk, and toothbrush, mouthwash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2016/05/11?\", \"apples\"], [\"what drinks did I buy from the grocery store on 2016/05/11?\", \"mineral water, coffee, mango juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2016/05/11?\", \"toothbrush, mouthwash, toilet paper\"], [\"who was with me at the grocery store on 2016/05/11?\", \"Andrew\"]], \"multihop_qa_pairs\": []}}, \"2016/05/12\": {\"places_visited\": {\"eid\": \"e3810\", \"logical_representation\": [\"2016/05/12\", [\"Andrew\"], \"Tower of London\", \"bought some souvenirs\", \"special\"], \"text_template_based\": \"During my trip to London, UK, I visited Tower of London on 2016/05 with Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to London, UK on 2016/05\", \"Tower of London\"], [\"when did I visit Tower of London during my trip to London, UK\", \"2016/05/12\"], [\"when did I visit Tower of London \", \"2016/05/12\"], [\"who went with me to visit Tower of London ?\", \"Andrew\"], [\"who went with me to visit Tower of London during my trip to London, UK on 2016/05?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e3815\", \"logical_representation\": [\"2016/05/12\", [\"Andrew\"], \"Italian food\", \"Broadway Market\"], \"text_template_based\": \"I ate Italian food at Broadway Market with Andrew on  2016/05/12 when I was in London, UK.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Broadway Market ?\", \"Andrew\"], [\"who did I eat Italian food with?\", \"Andrew\"], [\"where did we eat Italian food during our trip to London, UK on  2016/05/12?\", \"Broadway Market\"], [\"when did we eat Italian food at Broadway Market during our trip to London, UK?\", \"2016/05/12\"], [\"when did we eat at Broadway Market?\", \"2016/05/12\"], [\"when did we eat Italian food?\", \"2016/05/12\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4113\", \"logical_representation\": [\"2016/05/12\", \"Nevaeh\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 35 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh during lunch hours on 2016/05/12?\", \"35 minutes\"], [\"who did I talk to on 2016/05/12?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2016/05/12?\", \"yes\"], [\"Did I talk to anyone on 2016/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/14\": {\"dining\": {\"eid\": \"e3816\", \"logical_representation\": [\"2016/05/14\", [\"Andrew\"], \"Italian food\", \"Broadway Market\"], \"text_template_based\": \"I ate Italian food at Broadway Market with Andrew on  2016/05/14 when I was in London, UK.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Italian food with at Broadway Market ?\", \"Andrew\"], [\"who did I eat Italian food with?\", \"Andrew\"], [\"where did we eat Italian food during our trip to London, UK on  2016/05/14?\", \"Broadway Market\"], [\"when did we eat Italian food at Broadway Market during our trip to London, UK?\", \"2016/05/14\"], [\"when did we eat at Broadway Market?\", \"2016/05/14\"], [\"when did we eat Italian food?\", \"2016/05/14\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4116\", \"logical_representation\": [\"2016/05/14\", \"dinner\", \"sandwich\", \"Avery, Olivia, Layla, Eva, Claire\"], \"text_template_based\": \"I had dinner with Avery, Olivia, Layla, Eva, Claire. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/05/14?\", \"Avery, Olivia, Layla, Eva, Claire\"], [\"what did I eat for dinner on 2016/05/14\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4117\", \"logical_representation\": [\"2016/05/14\", \"Rylee\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Rylee for 31 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2016/05/14?\", \"31 minutes\"], [\"who did I talk to on 2016/05/14?\", \"Rylee\"], [\"Did I talk to Rylee on 2016/05/14?\", \"yes\"], [\"Did I talk to anyone on 2016/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/15\": {\"dining\": {\"eid\": \"e3817\", \"logical_representation\": [\"2016/05/15\", [\"Andrew\"], \"Indian food\", \"Brixton Village\"], \"text_template_based\": \"I ate Indian food at 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[]}}, \"2016/05/16\": {\"dining\": {\"eid\": \"e3818\", \"logical_representation\": [\"2016/05/16\", [\"Andrew\"], \"Indian food\", \"Bang Bang Oriental\"], \"text_template_based\": \"I ate Indian food at Bang Bang Oriental with Andrew on  2016/05/16 when I was in London, UK.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Bang Bang Oriental ?\", \"Andrew\"], [\"who did I eat Indian food with?\", \"Andrew\"], [\"where did we eat Indian food during our trip to London, UK on  2016/05/16?\", \"Bang Bang Oriental\"], [\"when did we eat Indian food at Bang Bang Oriental during our trip to London, UK?\", \"2016/05/16\"], [\"when did we eat at Bang Bang Oriental?\", \"2016/05/16\"], [\"when did we eat Indian food?\", \"2016/05/16\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4119\", \"logical_representation\": [\"2016/05/16\", \"dinner\", \"sandwich\", \"Lydia, Rylee, Nora, Layla, Piper, Nevaeh, Hazel, Olivia, Claire, Piper, Kinsley\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2016/05/17\": {\"dining\": {\"eid\": \"e3819\", \"logical_representation\": [\"2016/05/17\", [\"Andrew\"], \"local food\", \"Brixton Village\"], \"text_template_based\": \"I ate local food at Brixton Village with Andrew on  2016/05/17 when I was in London, UK.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at Brixton Village ?\", \"Andrew\"], [\"who did I eat local food with?\", \"Andrew\"], [\"where did we eat local food during our trip to London, UK on  2016/05/17?\", \"Brixton Village\"], [\"when did we eat local food at Brixton Village during our trip to London, UK?\", \"2016/05/17\"], [\"when did we eat at Brixton Village?\", \"2016/05/17\"], [\"when did we eat local food?\", \"2016/05/17\"]], \"multihop_qa_pairs\": []}}, \"2016/05/18\": {\"dining\": {\"eid\": \"e3820\", \"logical_representation\": [\"2016/05/18\", [\"Andrew\"], \"Japanese food\", \"Buck Street Market\"], \"text_template_based\": \"I ate Japanese food at Buck Street Market with Andrew on  2016/05/18 when I was in London, UK.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Japanese food with at Buck Street Market ?\", \"Andrew\"], [\"who did I eat Japanese food with?\", \"Andrew\"], [\"where did we eat Japanese food during our trip to London, UK on  2016/05/18?\", \"Buck Street Market\"], [\"when did we eat Japanese food at Buck Street Market during our trip to London, UK?\", \"2016/05/18\"], [\"when did we eat at Buck Street Market?\", \"2016/05/18\"], [\"when did we eat Japanese food?\", \"2016/05/18\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3858\", \"logical_representation\": [\"2016/05/18\", \"I bought some clementines, nectarines, mineral water, tea, facial wash, mouthwash, toothbrush online.\", \"clementines, nectarines\", \"mineral water, tea\", \"facial wash, mouthwash, toothbrush\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I bought some clementines, nectarines, mineral water, tea, facial wash, mouthwash, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/05/18?\", \"clementines, nectarines, mineral water, tea, and facial wash, mouthwash, toothbrush\"], [\"what fruits did I buy online on 2016/05/18?\", \"clementines, nectarines\"], [\"what drinks did I buy online on 2016/05/18?\", \"mineral water, tea\"], [\"what toiletries did I buy online on 2016/05/18?\", \"facial wash, mouthwash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4120\", \"logical_representation\": [\"2016/05/18\", \"breakfast\", \"peanut-butter-jam\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Avery, Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/05/18?\", \"Avery, Benjamin, Jackson\"], [\"what did I eat for breakfast on 2016/05/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4121\", \"logical_representation\": [\"2016/05/18\", \"Piper\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2016/05/18?\", \"11 minutes\"], [\"who did I talk to on 2016/05/18?\", \"Piper\"], [\"Did I talk to Piper on 2016/05/18?\", \"yes\"], [\"Did I talk to anyone on 2016/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4122\", \"logical_representation\": [\"2016/05/18\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/18?\", \"28 minutes\"], [\"what did I watch on tv on 2016/05/18?\", \"a movie\"], [\"Did I watch tv on 2016/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/20\": {\"dining\": {\"eid\": \"e3821\", \"logical_representation\": [\"2016/05/20\", [\"Andrew\"], \"Indian food\", \"Brixton Village\"], \"text_template_based\": \"I ate Indian food at Brixton Village with Andrew on  2016/05/20 when I was in London, UK.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Indian food with at Brixton Village ?\", \"Andrew\"], [\"who did I eat Indian food with?\", \"Andrew\"], [\"where did we eat Indian food during our trip to London, UK on  2016/05/20?\", \"Brixton Village\"], [\"when did we eat Indian food at Brixton Village during our trip to London, UK?\", \"2016/05/20\"], [\"when did we eat at Brixton Village?\", \"2016/05/20\"], [\"when did we eat Indian food?\", \"2016/05/20\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4125\", \"logical_representation\": [\"2016/05/20\", \"lunch\", \"steak\", \"Nora, Lydia\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/05/20\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4126\", \"logical_representation\": [\"2016/05/20\", \"Hazel, Piper, Nevaeh, Layla\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Nevaeh, Layla for 11 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Nevaeh, Layla in the morning on 2016/05/20?\", \"11 minutes\"], [\"who did I talk to on 2016/05/20?\", \"Hazel, Piper, Nevaeh, Layla\"], [\"Did I talk to Hazel, Piper, Nevaeh, Layla on 2016/05/20?\", \"yes\"], [\"Did I talk to anyone on 2016/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/11\": {\"personal_medical_care\": {\"eid\": \"e3822\", \"logical_representation\": [\"2016/12/11\", \"I went for an annual physical checkup on 2016/12/11 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual physical checkup on 2016/12/11 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual physical checkup in 2016?\", \"2016/12/11\"], [\"where did I go for an annual physical checkup on 2016/12/11\", \"university hospital\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4418\", \"logical_representation\": [\"2016/12/11\", \"breakfast\", \"cereals\", \"Hazel, Nevaeh, Claire, Piper, Eva, Rylee, Kinsley, Piper\"], \"text_template_based\": \"I had breakfast with Hazel, Nevaeh, Claire, Piper, Eva, Rylee, Kinsley, Piper. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/12/11?\", \"Hazel, Nevaeh, Claire, Piper, Eva, Rylee, Kinsley, Piper\"], [\"what did I eat for breakfast on 2016/12/11\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4419\", \"logical_representation\": [\"2016/12/11\", \"dinner\", \"pasta\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/11\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2016/05/25\": {\"personal_medical_care\": {\"eid\": \"e3823\", \"logical_representation\": [\"2016/05/25\", \"I went for an annual vision checkup on 2016/05/25 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual vision checkup on 2016/05/25 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual vision checkup in 2016?\", \"2016/05/25\"], [\"where did I go for an annual vision checkup on 2016/05/25\", \"university hospital\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4132\", \"logical_representation\": [\"2016/05/25\", \"Claire, Kinsley, Rylee, Eva\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Claire, Kinsley, Rylee, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Rylee, Eva late in the evening on 2016/05/25?\", \"28 minutes\"], [\"who did I talk to on 2016/05/25?\", \"Claire, Kinsley, Rylee, Eva\"], [\"Did I talk to Claire, Kinsley, Rylee, Eva on 2016/05/25?\", \"yes\"], [\"Did I talk to anyone on 2016/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/26\": {\"parent_medical_care\": {\"eid\": \"e3824\", \"logical_representation\": [\"2016/11/26\", \"my parents for their and I went for an annual physical checkup at the private clinic on 2016/11/26.\", \"private clinic\"], \"text_template_based\": \"my parents for their and I went for an annual physical checkup at the private clinic on 2016/11/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2016?\", \"2016/11/26\"], [\"what did I do on 2016/11/26\", \"I took my parents for their for an  annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4397\", \"logical_representation\": [\"2016/11/26\", \"lunch\", \"tacos\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had tacos for lunch with Avery, Jackson, Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/11/26?\", \"Avery, Jackson, Benjamin, Willow\"], [\"what did I eat for lunch on 2016/11/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4398\", \"logical_representation\": [\"2016/11/26\", \"Nora, Eva, Piper, Layla\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I talked to Nora, Eva, Piper, Layla for 48 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Piper, Layla during lunch hours on 2016/11/26?\", \"48 minutes\"], [\"who did I talk to on 2016/11/26?\", \"Nora, Eva, Piper, Layla\"], [\"Did I talk to Nora, Eva, Piper, Layla on 2016/11/26?\", \"yes\"], [\"Did I talk to anyone on 2016/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4399\", \"logical_representation\": [\"2016/11/26\", \"news\", \"29 minutes\"], \"text_template_based\": \"I watched news for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/26?\", \"29 minutes\"], [\"what did I watch on tv on 2016/11/26?\", \"news\"], [\"Did I watch tv on 2016/11/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/11\": {\"parent_medical_care\": {\"eid\": \"e3825\", \"logical_representation\": [\"2016/10/11\", \"my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2016/10/11.\", \"hospital\"], \"text_template_based\": \"my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2016/10/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2016?\", \"2016/10/11\"], [\"what did I do on 2016/10/11\", \"I took my parents for their for an  annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4333\", \"logical_representation\": [\"2016/10/11\", \"lunch\", \"indian food\", \"Olivia, Nora, Avery, Kinsley, Hazel\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/10/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4334\", \"logical_representation\": [\"2016/10/11\", \"dinner\", \"steak\", \"Jackson\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4335\", \"logical_representation\": [\"2016/10/11\", \"Nora, Piper, Eva\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Eva for 22 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Eva late in the evening on 2016/10/11?\", \"22 minutes\"], [\"who did I talk to on 2016/10/11?\", \"Nora, Piper, Eva\"], [\"Did I talk to Nora, Piper, Eva on 2016/10/11?\", \"yes\"], [\"Did I talk to anyone on 2016/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4336\", \"logical_representation\": [\"2016/10/11\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/10/11?\", \"45 minutes\"], [\"what did I read on 2016/10/11?\", \"a book\"], [\"Did I read on 2016/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/12\": {\"dating\": {\"eid\": \"e3826\", \"logical_representation\": [\"2016/01/12\", \"Naomi\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Naomi on 2016/01/12 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/01/12\", \"Naomi\"], [\"where did I go for the date on 2016/01/12\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3926\", \"logical_representation\": [\"2016/01/12\", \"dinner\", \"a burger\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/01/12\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2016/01/13\": {\"hobbies\": {\"eid\": \"e3827\", \"logical_representation\": [\"2016/01/13\", \"I spent time yoga on 2016/01/13 with Kayden, Carter, Emily.\", \"yoga\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I spent time yoga on 2016/01/13 with Kayden, Carter, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Kayden, Carter, Emily?\", \"2016/01/13\"], [\"On 2016/01/13, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2016/01/13?\", \"Kayden, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3927\", \"logical_representation\": [\"2016/01/13\", \"lunch\", \"tacos\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Carter, Andrew, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/01/13?\", \"Emily, Carter, Andrew, Kayden\"], [\"what did I eat for lunch on 2016/01/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3928\", \"logical_representation\": [\"2016/01/13\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/13?\", \"7 minutes\"], [\"what did I watch on tv on 2016/01/13?\", \"a documentary\"], [\"Did I watch tv on 2016/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/20\": {\"grocery\": {\"eid\": \"e3828\", \"logical_representation\": [\"2016/01/20\", \"I went grocery shopping with Carter, Andrew. I bought some peaches, sports drinks, and shampoo\", \"peaches\", \"sports drinks\", \"shampoo\", \"Carter, Andrew\"], \"text_template_based\": \"I went grocery shopping with Carter, Andrew. I bought some peaches, sports drinks, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/01/20?\", \"peaches, sports drinks, and shampoo\"], [\"what fruits did I buy from the grocery store on 2016/01/20?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2016/01/20?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2016/01/20?\", \"shampoo\"], [\"who was with me at the grocery store on 2016/01/20?\", \"Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3942\", \"logical_representation\": [\"2016/01/20\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/20?\", \"50 minutes\"], [\"what did I watch on tv on 2016/01/20?\", \"a documentary\"], [\"Did I watch tv on 2016/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/28\": {\"bake\": {\"eid\": \"e3829\", \"logical_representation\": [\"2016/01/28\", \"I really enjoyed baking cinnamon sheet cake with cider frosting, cranberry apple danish, giant cinnamon roll on 2016/01/28 with Andrew, Carter, Emily at my place\", \"bake\", \"cinnamon sheet cake with cider frosting, cranberry apple danish, giant cinnamon roll\", \"Andrew, Carter, Emily\", \"my place\"], \"text_template_based\": \"I really enjoyed baking cinnamon sheet cake with cider frosting, cranberry apple danish, giant cinnamon roll on 2016/01/28 with Andrew, Carter, Emily at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  cinnamon sheet cake with cider frosting, cranberry apple danish, giant cinnamon roll with Andrew, Carter, Emily?\", \"2016/01/28\"], [\"what did I  on 2016/01/28?\", \"cinnamon sheet cake with cider frosting, cranberry apple danish, giant cinnamon roll\"], [\"who was I with when I  cinnamon sheet cake with cider frosting, cranberry apple danish, giant cinnamon roll on 2016/01/28?\", \"Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3950\", \"logical_representation\": [\"2016/01/28\", \"dinner\", \"tacos\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/01/28\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2016/01/25\": {\"dating\": {\"eid\": \"e3830\", \"logical_representation\": [\"2016/01/25\", \"Claire\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Claire on 2016/01/25 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/01/25\", \"Claire\"], [\"where did I go for the date on 2016/01/25\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e3831\", \"logical_representation\": [\"2016/01/25\", \"I really enjoyed working out on 2016/01/25\", \"working out\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I really enjoyed working out on 2016/01/25\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2016/01/25\"], [\"On 2016/01/25, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3833\", \"logical_representation\": [\"2016/01/25\", \"I bought some guava, oranges, apple juice, paper towel, toothpaste from the grocery store. I saw Piper, Layla, Nevaeh, Olivia at the grocery store.\", \"guava, oranges\", \"apple juice\", \"paper towel, toothpaste\", \"Piper, Layla, Nevaeh, Olivia\"], \"text_template_based\": \"I bought some guava, oranges, apple juice, paper towel, toothpaste from the grocery store. I saw Piper, Layla, Nevaeh, Olivia at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/01/25?\", \"guava, oranges, apple juice, and paper towel, toothpaste\"], [\"what fruits did I buy from the grocery store on 2016/01/25?\", \"guava, oranges\"], [\"what drinks did I buy from the grocery store on 2016/01/25?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2016/01/25?\", \"paper towel, toothpaste\"], [\"who did I see at the grocery store on 2016/01/25?\", \"Piper, Layla, Nevaeh, Olivia\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3946\", \"logical_representation\": [\"2016/01/25\", \"breakfast\", \"oatmeal\", \"Kayden\"], \"text_template_based\": \"I had oatmeal for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/01/25?\", \"Kayden\"], [\"what did I eat for breakfast on 2016/01/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3947\", \"logical_representation\": [\"2016/01/25\", \"Kinsley\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Kinsley for 24 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early evening on 2016/01/25?\", \"24 minutes\"], [\"who did I talk to on 2016/01/25?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2016/01/25?\", \"yes\"], [\"Did I talk to anyone on 2016/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/22\": {\"grocery\": {\"eid\": \"e3832\", \"logical_representation\": [\"2016/01/22\", \"I went grocery shopping. I bought some oranges, mango juice, pineapple juice, and facial wash, mouth wash, toothpaste, body lotion\", \"oranges\", \"mango juice, pineapple juice\", \"facial wash, mouth wash, toothpaste, body lotion\", \"Benjamin\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, mango juice, pineapple juice, and facial wash, mouth wash, toothpaste, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/01/22?\", \"oranges, mango juice, pineapple juice, and facial wash, mouth wash, toothpaste, body lotion\"], [\"what fruits did I buy from the grocery store on 2016/01/22?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2016/01/22?\", \"mango juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2016/01/22?\", \"facial wash, mouth wash, toothpaste, body lotion\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3943\", \"logical_representation\": [\"2016/01/22\", \"Layla, Piper, Nora, Piper\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Nora, Piper for 16 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Nora, Piper in the early afternoon on 2016/01/22?\", \"16 minutes\"], [\"who did I talk to on 2016/01/22?\", \"Layla, Piper, Nora, Piper\"], [\"Did I talk to Layla, Piper, Nora, Piper on 2016/01/22?\", \"yes\"], [\"Did I talk to anyone on 2016/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/01\": {\"bake\": {\"eid\": \"e3834\", \"logical_representation\": [\"2016/02/01\", \"I really enjoyed baking peanut butter cookies, blackberry jam pie-crust straws, easy chocolate marshmallow cups on 2016/02/01 with Avery at my place\", \"bake\", \"peanut butter cookies, blackberry jam pie-crust straws, easy chocolate marshmallow cups\", \"Avery\", \"my place\"], \"text_template_based\": \"I really enjoyed baking peanut butter cookies, blackberry jam pie-crust straws, easy chocolate marshmallow cups on 2016/02/01 with Avery at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  peanut butter cookies, blackberry jam pie-crust straws, easy chocolate marshmallow cups with Avery?\", \"2016/02/01\"], [\"what did I  on 2016/02/01?\", \"peanut butter cookies, blackberry jam pie-crust straws, easy chocolate marshmallow cups\"], [\"who was I with when I  peanut butter cookies, blackberry jam pie-crust straws, easy chocolate marshmallow cups on 2016/02/01?\", \"Avery\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e3835\", \"logical_representation\": [\"2016/02/01\", \"Nova\", \"a restaurant\"], \"text_template_based\": \"On 2016/02/01, I took Nova on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/02/01\", \"Nova\"], [\"where did I go for the date on 2016/02/01\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e3960\", \"logical_representation\": [\"2016/02/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/02/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2016/02/05\": {\"grocery\": {\"eid\": \"e3836\", \"logical_representation\": [\"2016/02/05\", \"I bought some blueberries, pears, bananas, pineapples, mango juice, guava juice, shaving cream, body lotion online.\", \"blueberries, pears, bananas, pineapples\", \"mango juice, guava juice\", \"shaving cream, body lotion\", \"Claire, Lydia, Eva, Hazel, Piper, Nora, Kinsley\"], \"text_template_based\": \"I bought some blueberries, pears, bananas, pineapples, mango juice, guava juice, shaving cream, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/02/05?\", \"blueberries, pears, bananas, pineapples, mango juice, guava juice, and shaving cream, body lotion\"], [\"what fruits did I buy online on 2016/02/05?\", \"blueberries, pears, bananas, pineapples\"], [\"what drinks did I buy online on 2016/02/05?\", \"mango juice, guava juice\"], [\"what toiletries did I buy online on 2016/02/05?\", \"shaving cream, body lotion\"]], \"multihop_qa_pairs\": []}}, \"2016/02/09\": {\"grocery\": {\"eid\": \"e3837\", \"logical_representation\": [\"2016/02/09\", \"I bought some mangos, pears, raspberries, mango juice, mouthwash from the grocery store. I saw Eva, Kinsley, Piper, Nora, Claire, Hazel, Avery, Lydia, Olivia, Nevaeh, Rylee at the grocery store.\", \"mangos, pears, raspberries\", \"mango juice\", \"mouthwash\", \"Eva, Kinsley, Piper, Nora, Claire, Hazel, Avery, Lydia, Olivia, Nevaeh, Rylee\"], \"text_template_based\": \"I bought some mangos, pears, raspberries, mango juice, mouthwash from the grocery store. I saw Eva, Kinsley, Piper, Nora, Claire, Hazel, Avery, Lydia, Olivia, Nevaeh, Rylee at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/02/09?\", \"mangos, pears, raspberries, mango juice, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2016/02/09?\", \"mangos, pears, raspberries\"], [\"what drinks did I buy from the grocery store on 2016/02/09?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2016/02/09?\", \"mouthwash\"], [\"who did I see at the grocery store on 2016/02/09?\", \"Eva, Kinsley, Piper, Nora, Claire, Hazel, Avery, Lydia, Olivia, Nevaeh, Rylee\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3975\", \"logical_representation\": [\"2016/02/09\", \"Eva, Olivia, Hazel, Piper\", \"late in the evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Eva, Olivia, Hazel, Piper for 27 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Hazel, Piper late in the evening on 2016/02/09?\", \"27 minutes\"], [\"who did I talk to on 2016/02/09?\", \"Eva, Olivia, Hazel, Piper\"], [\"Did I talk to Eva, Olivia, Hazel, Piper on 2016/02/09?\", \"yes\"], [\"Did I talk to anyone on 2016/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/14\": {\"hobbies\": {\"eid\": \"e3838\", \"logical_representation\": [\"2016/02/14\", \"I spent some time gardening on 2016/02/14.\", \"gardening\", \"Piper, Avery, Claire\"], \"text_template_based\": \"I spent some time gardening on 2016/02/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2016/02/14\"], [\"On 2016/02/14, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3980\", \"logical_representation\": [\"2016/02/14\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/02/14?\", \"26 minutes\"], [\"what did I read on 2016/02/14?\", \"social media\"], [\"Did I read on 2016/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/12\": {\"grocery\": {\"eid\": \"e3839\", \"logical_representation\": [\"2016/02/12\", \"I went grocery shopping with Piper, Rylee, Olivia, Eva, Avery, Layla, Nevaeh, Hazel, Lydia, Kinsley. I bought some watermelons, clementines, cherres, apricots, milk, chocolate milk, mango juice, and shampoo, conditioner, body lotion, facial wash\", \"watermelons, clementines, cherres, apricots\", \"milk, chocolate milk, mango juice\", \"shampoo, conditioner, body lotion, facial wash\", \"Piper, Rylee, Olivia, Eva, Avery, Layla, Nevaeh, Hazel, Lydia, Kinsley\"], \"text_template_based\": \"I went grocery shopping with Piper, Rylee, Olivia, Eva, Avery, Layla, Nevaeh, Hazel, Lydia, Kinsley. I bought some watermelons, clementines, cherres, apricots, milk, chocolate milk, mango juice, and shampoo, conditioner, body lotion, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/02/12?\", \"watermelons, clementines, cherres, apricots, milk, chocolate milk, mango juice, and shampoo, conditioner, body lotion, facial wash\"], [\"what fruits did I buy from the grocery store on 2016/02/12?\", \"watermelons, clementines, cherres, apricots\"], [\"what drinks did I buy from the grocery store on 2016/02/12?\", \"milk, chocolate milk, mango juice\"], [\"what toiletries did I buy from the grocery store on 2016/02/12?\", \"shampoo, conditioner, body lotion, facial wash\"], [\"who was with me at the grocery store on 2016/02/12?\", \"Piper, Rylee, Olivia, Eva, Avery, Layla, Nevaeh, Hazel, Lydia, Kinsley\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3978\", \"logical_representation\": [\"2016/02/12\", \"dinner\", \"sandwich\", \"Willow, Jackson\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/02/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2016/02/16\": {\"grocery\": {\"eid\": \"e3840\", \"logical_representation\": [\"2016/02/16\", \"I bought some pineapples, chocolate milk, milk, mango juice, mouthwash online.\", \"pineapples\", \"chocolate milk, milk, mango juice\", \"mouthwash\", \"Kayden, Emily\"], \"text_template_based\": \"I bought some pineapples, chocolate milk, milk, mango juice, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/02/16?\", \"pineapples, chocolate milk, milk, mango juice, and mouthwash\"], [\"what fruits did I buy online on 2016/02/16?\", \"pineapples\"], [\"what drinks did I buy online on 2016/02/16?\", \"chocolate milk, milk, mango juice\"], [\"what toiletries did I buy online on 2016/02/16?\", \"mouthwash\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3981\", \"logical_representation\": [\"2016/02/16\", \"lunch\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/02/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2016/02/22\": {\"dating\": {\"eid\": \"e3841\", \"logical_representation\": [\"2016/02/22\", \"Naomi\", \"a park\"], \"text_template_based\": \"I went on a date with Naomi on 2016/02/22 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/02/22\", \"Naomi\"], [\"where did I go for the date on 2016/02/22\", \"a park\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3990\", \"logical_representation\": [\"2016/02/22\", \"Piper, Claire, Rylee\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Piper, Claire, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Rylee during lunch hours on 2016/02/22?\", \"35 minutes\"], [\"who did I talk to on 2016/02/22?\", \"Piper, Claire, Rylee\"], [\"Did I talk to Piper, Claire, Rylee on 2016/02/22?\", \"yes\"], [\"Did I talk to anyone on 2016/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/24\": {\"grocery\": {\"eid\": \"e3842\", \"logical_representation\": [\"2016/02/24\", \"I bought some cherres, blueberries, bananas, orange juice, mineral water, soda, toothpaste, shaving cream, toothbrush, body lotion from the grocery store. I saw Nevaeh, Eva, Hazel, Claire, Avery, Layla, Kinsley at the grocery store.\", \"cherres, blueberries, bananas\", \"orange juice, mineral water, soda\", \"toothpaste, shaving cream, toothbrush, body lotion\", \"Nevaeh, Eva, Hazel, Claire, Avery, Layla, Kinsley\"], \"text_template_based\": \"I bought some cherres, blueberries, bananas, orange juice, mineral water, soda, toothpaste, shaving cream, toothbrush, body lotion from the grocery store. I saw Nevaeh, Eva, Hazel, Claire, Avery, Layla, Kinsley at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/02/24?\", \"cherres, blueberries, bananas, orange juice, mineral water, soda, and toothpaste, shaving cream, toothbrush, body lotion\"], [\"what fruits did I buy from the grocery store on 2016/02/24?\", \"cherres, blueberries, bananas\"], [\"what drinks did I buy from the grocery store on 2016/02/24?\", \"orange juice, mineral water, soda\"], [\"what toiletries did I buy from the grocery store on 2016/02/24?\", \"toothpaste, shaving cream, toothbrush, body lotion\"], [\"who did I see at the grocery store on 2016/02/24?\", \"Nevaeh, Eva, Hazel, Claire, Avery, Layla, Kinsley\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3994\", \"logical_representation\": [\"2016/02/24\", \"Hazel, Claire, Olivia\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Hazel, Claire, Olivia for 17 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Olivia late in the evening on 2016/02/24?\", \"17 minutes\"], [\"who did I talk to on 2016/02/24?\", \"Hazel, Claire, Olivia\"], [\"Did I talk to Hazel, Claire, Olivia on 2016/02/24?\", \"yes\"], [\"Did I talk to anyone on 2016/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3995\", \"logical_representation\": [\"2016/02/24\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/02/24?\", \"54 minutes\"], [\"what did I read on 2016/02/24?\", \"news\"], [\"Did I read on 2016/02/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/02\": {\"dating\": {\"eid\": \"e3843\", \"logical_representation\": [\"2016/03/02\", \"Wesley\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Wesley on 2016/03/02 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/03/02\", \"Wesley\"], [\"where did I go for the date on 2016/03/02\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4004\", \"logical_representation\": [\"2016/03/02\", \"dinner\", \"sushi\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/03/02?\", \"Carter, Andrew, Kayden\"], [\"what did I eat for dinner on 2016/03/02\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4005\", \"logical_representation\": [\"2016/03/02\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I watched a documentary for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/02?\", \"36 minutes\"], [\"what did I watch on tv on 2016/03/02?\", \"a documentary\"], [\"Did I watch tv on 2016/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/01\": {\"grocery\": {\"eid\": \"e3844\", \"logical_representation\": [\"2016/03/01\", \"I bought some oranges, blackberries, apricots, strawberries, tea, mineral water, conditioner, facial wash from the grocery store. I saw Claire, Hazel, Avery, Lydia at the grocery store.\", \"oranges, blackberries, apricots, strawberries\", \"tea, mineral water\", \"conditioner, facial wash\", \"Claire, Hazel, Avery, Lydia\"], \"text_template_based\": \"I bought some oranges, blackberries, apricots, strawberries, tea, mineral water, conditioner, facial wash from the grocery store. I saw Claire, Hazel, Avery, Lydia at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/03/01?\", \"oranges, blackberries, apricots, strawberries, tea, mineral water, and conditioner, facial wash\"], [\"what fruits did I buy from the grocery store on 2016/03/01?\", \"oranges, blackberries, apricots, strawberries\"], [\"what drinks did I buy from the grocery store on 2016/03/01?\", \"tea, mineral water\"], [\"what toiletries did I buy from the grocery store on 2016/03/01?\", \"conditioner, facial wash\"], [\"who did I see at the grocery store on 2016/03/01?\", \"Claire, Hazel, Avery, Lydia\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4003\", \"logical_representation\": [\"2016/03/01\", \"dinner\", \"sushi\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/03/01\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/03/07\": {\"dating\": {\"eid\": \"e3845\", \"logical_representation\": [\"2016/03/07\", \"Jaxson\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Jaxson on 2016/03/07 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/03/07\", \"Jaxson\"], [\"where did I go for the date on 2016/03/07\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4013\", \"logical_representation\": [\"2016/03/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Hazel, Nevaeh, Nora, Kinsley, Olivia, Claire, Eva, Avery, Lydia, Piper\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Piper, Hazel, Nevaeh, Nora, Kinsley, Olivia, Claire, Eva, Avery, Lydia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/03/07?\", \"Piper, Hazel, Nevaeh, Nora, Kinsley, Olivia, Claire, Eva, Avery, Lydia, Piper\"], [\"what did I eat for breakfast on 2016/03/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4014\", \"logical_representation\": [\"2016/03/07\", \"lunch\", \"sandwich\", \"Nevaeh, Layla, Lydia, Nora, Hazel, Piper\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4015\", \"logical_representation\": [\"2016/03/07\", \"Piper\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2016/03/07?\", \"17 minutes\"], [\"who did I talk to on 2016/03/07?\", \"Piper\"], [\"Did I talk to Piper on 2016/03/07?\", \"yes\"], [\"Did I talk to anyone on 2016/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4016\", \"logical_representation\": [\"2016/03/07\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/03/07?\", \"26 minutes\"], [\"what did I read on 2016/03/07?\", \"a book\"], [\"Did I read on 2016/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/12\": {\"grocery\": {\"eid\": \"e3846\", \"logical_representation\": [\"2016/03/12\", \"I went grocery shopping. I bought some oranges, raspberries, bananas, apples, tea, and toilet paper, mouth wash, facial wash, body lotion\", \"oranges, raspberries, bananas, apples\", \"tea\", \"toilet paper, mouth wash, facial wash, body lotion\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, raspberries, bananas, apples, tea, and toilet paper, mouth wash, facial wash, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/03/12?\", \"oranges, raspberries, bananas, apples, tea, and toilet paper, mouth wash, facial wash, body lotion\"], [\"what fruits did I buy from the grocery store on 2016/03/12?\", \"oranges, raspberries, bananas, apples\"], [\"what drinks did I buy from the grocery store on 2016/03/12?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2016/03/12?\", \"toilet paper, mouth wash, facial wash, body lotion\"]], \"multihop_qa_pairs\": []}}, \"2016/03/21\": {\"dating\": {\"eid\": \"e3847\", \"logical_representation\": [\"2016/03/21\", \"Grayson\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Grayson on 2016/03/21 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/03/21\", \"Grayson\"], [\"where did I go for the date on 2016/03/21\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4034\", \"logical_representation\": [\"2016/03/21\", \"lunch\", \"sushi\", \"Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4035\", \"logical_representation\": [\"2016/03/21\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/03/21?\", \"47 minutes\"], [\"what did I read on 2016/03/21?\", \"news\"], [\"Did I read on 2016/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/30\": {\"cook\": {\"eid\": \"e3848\", \"logical_representation\": [\"2016/03/30\", \"I really enjoyed cooking contest-winning broccoli chicken casserole on 2016/03/30 with Andrew, Emily, Carter at my place\", \"cook\", \"contest-winning broccoli chicken casserole\", \"Andrew, Emily, Carter\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking contest-winning broccoli chicken casserole on 2016/03/30 with Andrew, Emily, Carter at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  contest-winning broccoli chicken casserole with Andrew, Emily, Carter?\", \"2016/03/30\"], [\"what did I  on 2016/03/30?\", \"contest-winning broccoli chicken casserole\"], [\"who was I with when I  contest-winning broccoli chicken casserole on 2016/03/30?\", \"Andrew, Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4052\", \"logical_representation\": [\"2016/03/30\", \"lunch\", \"tacos\", \"Lydia, Kinsley, Layla, Hazel, Rylee, Olivia, Nevaeh, Eva, Avery, Nora\"], \"text_template_based\": \"I had lunch with Lydia, Kinsley, Layla, Hazel, Rylee, Olivia, Nevaeh, Eva, Avery, Nora. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/03/30?\", \"Lydia, Kinsley, Layla, Hazel, Rylee, Olivia, Nevaeh, Eva, Avery, Nora\"], [\"what did I eat for lunch on 2016/03/30\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4053\", \"logical_representation\": [\"2016/03/30\", \"dinner\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/03/30?\", \"Andrew\"], [\"what did I eat for dinner on 2016/03/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4054\", \"logical_representation\": [\"2016/03/30\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/30?\", \"46 minutes\"], [\"what did I watch on tv on 2016/03/30?\", \"a documentary\"], [\"Did I watch tv on 2016/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/06\": {\"hobbies\": {\"eid\": \"e3849\", \"logical_representation\": [\"2016/04/06\", \"I spent time gardening on 2016/04/06 with Carter, Emily.\", \"gardening\", \"Carter, Emily\"], \"text_template_based\": \"I spent time gardening on 2016/04/06 with Carter, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Carter, Emily?\", \"2016/04/06\"], [\"On 2016/04/06, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2016/04/06?\", \"Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4065\", \"logical_representation\": [\"2016/04/06\", \"breakfast\", \"pancakes\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/04/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/09\": {\"hobbies\": {\"eid\": \"e3850\", \"logical_representation\": [\"2016/04/09\", \"I spent time meditation on 2016/04/09 with Hazel.\", \"meditation\", \"Hazel\"], \"text_template_based\": \"I spent time meditation on 2016/04/09 with Hazel.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Hazel?\", \"2016/04/09\"], [\"On 2016/04/09, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2016/04/09?\", \"Hazel\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4068\", \"logical_representation\": [\"2016/04/09\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Nora, Layla, Hazel, Kinsley, Eva, Lydia, Piper, Avery, Olivia\"], \"text_template_based\": \"I had breakfast with Nevaeh, Nora, Layla, Hazel, Kinsley, Eva, Lydia, Piper, Avery, Olivia. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/04/09?\", \"Nevaeh, Nora, Layla, Hazel, Kinsley, Eva, Lydia, Piper, Avery, Olivia\"], [\"what did I eat for breakfast on 2016/04/09\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4069\", \"logical_representation\": [\"2016/04/09\", \"dinner\", \"indian food\", \"Avery, Nora, Claire, Kinsley, Lydia, Nevaeh, Piper, Olivia, Layla, Hazel, Rylee\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4070\", \"logical_representation\": [\"2016/04/09\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/04/09?\", \"50 minutes\"], [\"what did I read on 2016/04/09?\", \"a book\"], [\"Did I read on 2016/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/28\": {\"cook\": {\"eid\": \"e3851\", \"logical_representation\": [\"2016/04/28\", \"I was cooking hamburger stroganoff on 2016/04/28 with Rylee, Claire at my place\", \"cook\", \"hamburger stroganoff\", \"Rylee, Claire\", \"my place\"], \"text_template_based\": \"I was cooking hamburger stroganoff on 2016/04/28 with Rylee, Claire at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  hamburger stroganoff with Rylee, Claire?\", \"2016/04/28\"], [\"what did I  on 2016/04/28?\", \"hamburger stroganoff\"], [\"who was I with when I  hamburger stroganoff on 2016/04/28?\", \"Rylee, Claire\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4095\", \"logical_representation\": [\"2016/04/28\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden, Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/04/28?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for breakfast on 2016/04/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4096\", \"logical_representation\": [\"2016/04/28\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/04/28?\", \"54 minutes\"], [\"what did I read on 2016/04/28?\", \"news\"], [\"Did I read on 2016/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/25\": {\"hobbies\": {\"eid\": \"e3852\", \"logical_representation\": [\"2016/04/25\", \"I really enjoyed meditation on 2016/04/25\", \"meditation\", \"Emily\"], \"text_template_based\": \"I really enjoyed meditation on 2016/04/25\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2016/04/25\"], [\"On 2016/04/25, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4090\", \"logical_representation\": [\"2016/04/25\", \"biking\"], \"text_template_based\": \"I did biking on 2016/04/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/25?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4091\", \"logical_representation\": [\"2016/04/25\", \"Olivia, Layla, Lydia, Piper\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Olivia, Layla, Lydia, Piper for 51 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Lydia, Piper in the early evening on 2016/04/25?\", \"51 minutes\"], [\"who did I talk to on 2016/04/25?\", \"Olivia, Layla, Lydia, Piper\"], [\"Did I talk to Olivia, Layla, Lydia, Piper on 2016/04/25?\", \"yes\"], [\"Did I talk to anyone on 2016/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/27\": {\"grocery\": {\"eid\": \"e3853\", \"logical_representation\": [\"2016/04/27\", \"I bought some guava, pineapple juice, conditioner, shampoo from the grocery store. I saw Carter, Kayden at the grocery store.\", \"guava\", \"pineapple juice\", \"conditioner, shampoo\", \"Carter, Kayden\"], \"text_template_based\": \"I bought some guava, pineapple juice, conditioner, shampoo from the grocery store. I saw Carter, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/04/27?\", \"guava, pineapple juice, and conditioner, shampoo\"], [\"what fruits did I buy from the grocery store on 2016/04/27?\", \"guava\"], [\"what drinks did I buy from the grocery store on 2016/04/27?\", \"pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2016/04/27?\", \"conditioner, shampoo\"], [\"who did I see at the grocery store on 2016/04/27?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4093\", \"logical_representation\": [\"2016/04/27\", \"Piper, Olivia, Piper\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Piper, Olivia, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Piper in the late afternoon on 2016/04/27?\", \"52 minutes\"], [\"who did I talk to on 2016/04/27?\", \"Piper, Olivia, Piper\"], [\"Did I talk to Piper, Olivia, Piper on 2016/04/27?\", \"yes\"], [\"Did I talk to anyone on 2016/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4094\", \"logical_representation\": [\"2016/04/27\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I watched a tv series for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/27?\", \"12 minutes\"], [\"what did I watch on tv on 2016/04/27?\", \"a tv series\"], [\"Did I watch tv on 2016/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/05\": {\"bake\": {\"eid\": \"e3854\", \"logical_representation\": [\"2016/05/05\", \"I entertained Andrew, Kayden, Emily, Carter at my place on 2016/05/05 and bake cream-filled bundt cake, easy cherry skillet cake\", \"bake\", \"cream-filled bundt cake, easy cherry skillet cake\", \"Andrew, Kayden, Emily, Carter\", \"my place\"], \"text_template_based\": \"I entertained Andrew, Kayden, Emily, Carter at my place on 2016/05/05 and bake cream-filled bundt cake, easy cherry skillet cake\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake cream-filled bundt cake, easy cherry skillet cake with Andrew, Kayden, Emily, Carter?\", \"2016/05/05\"], [\"what did I bake on 2016/05/05?\", \"cream-filled bundt cake, easy cherry skillet cake\"], [\"who was I with when I  cream-filled bundt cake, easy cherry skillet cake on 2016/05/05?\", \"Andrew, Kayden, Emily, Carter\"]], \"multihop_qa_pairs\": []}}, \"2016/05/06\": {\"dating\": {\"eid\": \"e3855\", \"logical_representation\": [\"2016/05/06\", \"Liam\", \"a boba shop\"], \"text_template_based\": \"On 2016/05/06, I took Liam on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/05/06\", \"Liam\"], [\"where did I go for the date on 2016/05/06\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4104\", \"logical_representation\": [\"2016/05/06\", \"breakfast\", \"pancakes\", \"Kinsley, Eva\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4105\", \"logical_representation\": [\"2016/05/06\", \"a movie\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/06?\", \"26 minutes\"], [\"what did I watch on tv on 2016/05/06?\", \"a movie\"], [\"Did I watch tv on 2016/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/13\": {\"grocery\": {\"eid\": \"e3857\", \"logical_representation\": [\"2016/05/13\", \"I bought some blueberries, guava, pineapple juice, sports drinks, toilet paper, toothpaste online.\", \"blueberries, guava\", \"pineapple juice, sports drinks\", \"toilet paper, toothpaste\", \"Lydia, Piper, Eva, Hazel, Nora, Claire, Avery, Olivia, Kinsley, Layla, Nevaeh, Piper, Rylee\"], \"text_template_based\": \"I bought some blueberries, guava, pineapple juice, sports drinks, toilet paper, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/05/13?\", \"blueberries, guava, pineapple juice, sports drinks, and toilet paper, toothpaste\"], [\"what fruits did I buy online on 2016/05/13?\", \"blueberries, guava\"], [\"what drinks did I buy online on 2016/05/13?\", \"pineapple juice, sports drinks\"], [\"what toiletries did I buy online on 2016/05/13?\", \"toilet paper, toothpaste\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4114\", \"logical_representation\": [\"2016/05/13\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/13\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4115\", \"logical_representation\": [\"2016/05/13\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/13?\", \"48 minutes\"], [\"what did I watch on tv on 2016/05/13?\", \"a tv series\"], [\"Did I watch tv on 2016/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/21\": {\"grocery\": {\"eid\": \"e3859\", \"logical_representation\": [\"2016/05/21\", \"I bought some watermelons, cherres, mineral water, shampoo online.\", \"watermelons, cherres\", \"mineral water\", \"shampoo\", \"Olivia, Piper, Eva, Hazel, Lydia, Nora, Kinsley, Claire, Piper, Avery\"], \"text_template_based\": \"I bought some watermelons, cherres, mineral water, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/05/21?\", \"watermelons, cherres, mineral water, and shampoo\"], [\"what fruits did I buy online on 2016/05/21?\", \"watermelons, cherres\"], [\"what drinks did I buy online on 2016/05/21?\", \"mineral water\"], [\"what toiletries did I buy online on 2016/05/21?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4127\", \"logical_representation\": [\"2016/05/21\", \"running\"], \"text_template_based\": \"I did running on 2016/05/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/21?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2016/05/23\": {\"grocery\": {\"eid\": \"e3860\", \"logical_representation\": [\"2016/05/23\", \"I went grocery shopping with Carter. I bought some oranges, mangos, pears, blueberries, milk, and toilet paper, paper towel, body lotion, shaving cream\", \"oranges, mangos, pears, blueberries\", \"milk\", \"toilet paper, paper towel, body lotion, shaving cream\", \"Carter\"], \"text_template_based\": \"I went grocery shopping with Carter. I bought some oranges, mangos, pears, blueberries, milk, and toilet paper, paper towel, body lotion, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/05/23?\", \"oranges, mangos, pears, blueberries, milk, and toilet paper, paper towel, body lotion, shaving cream\"], [\"what fruits did I buy from the grocery store on 2016/05/23?\", \"oranges, mangos, pears, blueberries\"], [\"what drinks did I buy from the grocery store on 2016/05/23?\", \"milk\"], [\"what toiletries did I buy from the grocery store on 2016/05/23?\", \"toilet paper, paper towel, body lotion, shaving cream\"], [\"who was with me at the grocery store on 2016/05/23?\", \"Carter\"]], \"multihop_qa_pairs\": []}}, \"2016/06/02\": {\"bake\": {\"eid\": \"e3861\", \"logical_representation\": [\"2016/06/02\", \"I entertained Lydia, Claire, Rylee, Piper at my place on 2016/06/02 and bake cream-filled bundt cake, brownies, chocolate skillet cake\", \"bake\", \"cream-filled bundt cake, brownies, chocolate skillet cake\", \"Lydia, Claire, Rylee, Piper\", \"my place\"], \"text_template_based\": \"I entertained Lydia, Claire, Rylee, Piper at my place on 2016/06/02 and bake cream-filled bundt cake, brownies, chocolate skillet cake\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake cream-filled bundt cake, brownies, chocolate skillet cake with Lydia, Claire, Rylee, Piper?\", \"2016/06/02\"], [\"what did I bake on 2016/06/02?\", \"cream-filled bundt cake, brownies, chocolate skillet cake\"], [\"who was I with when I  cream-filled bundt cake, brownies, chocolate skillet cake on 2016/06/02?\", \"Lydia, Claire, Rylee, Piper\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4142\", \"logical_representation\": [\"2016/06/02\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/02?\", \"31 minutes\"], [\"what did I watch on tv on 2016/06/02?\", \"news\"], [\"Did I watch tv on 2016/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/30\": {\"grocery\": {\"eid\": \"e3862\", \"logical_representation\": [\"2016/05/30\", \"I bought some blueberries, apricots, nectarines, tea, orange juice, facial wash, shaving cream, body lotion, conditioner from the grocery store. I saw Andrew, Carter, Emily at the grocery store.\", \"blueberries, apricots, nectarines\", \"tea, orange juice\", \"facial wash, shaving cream, body lotion, conditioner\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I bought some blueberries, apricots, nectarines, tea, orange juice, facial wash, shaving cream, body lotion, conditioner from the grocery store. I saw Andrew, Carter, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/05/30?\", \"blueberries, apricots, nectarines, tea, orange juice, and facial wash, shaving cream, body lotion, conditioner\"], [\"what fruits did I buy from the grocery store on 2016/05/30?\", \"blueberries, apricots, nectarines\"], [\"what drinks did I buy from the grocery store on 2016/05/30?\", \"tea, orange juice\"], [\"what toiletries did I buy from the grocery store on 2016/05/30?\", \"facial wash, shaving cream, body lotion, conditioner\"], [\"who did I see at the grocery store on 2016/05/30?\", \"Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4138\", \"logical_representation\": [\"2016/05/30\", \"Claire\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I talked to Claire for 38 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the morning on 2016/05/30?\", \"38 minutes\"], [\"who did I talk to on 2016/05/30?\", \"Claire\"], [\"Did I talk to Claire on 2016/05/30?\", \"yes\"], [\"Did I talk to anyone on 2016/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4139\", \"logical_representation\": [\"2016/05/30\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/05/30?\", \"16 minutes\"], [\"what did I read on 2016/05/30?\", \"social media\"], [\"Did I read on 2016/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/21\": {\"dating\": {\"eid\": \"e3863\", \"logical_representation\": [\"2016/06/21\", \"Santiago \", \"a park\"], \"text_template_based\": \"I went on a date with Santiago  on 2016/06/21 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/06/21\", \"Santiago \"], [\"where did I go for the date on 2016/06/21\", \"a park\"]], \"multihop_qa_pairs\": []}}, \"2016/06/24\": {\"grocery\": {\"eid\": \"e3864\", \"logical_representation\": [\"2016/06/24\", \"I went grocery shopping with Andrew, Kayden, Carter. I bought some mangos, blueberries, oranges, apricots, tea, apple juice, and shampoo, shaving cream, toothbrush, facial wash\", \"mangos, blueberries, oranges, apricots\", \"tea, apple juice\", \"shampoo, shaving cream, toothbrush, facial wash\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping with Andrew, Kayden, Carter. I bought some mangos, blueberries, oranges, apricots, tea, apple juice, and shampoo, shaving cream, toothbrush, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/06/24?\", \"mangos, blueberries, oranges, apricots, tea, apple juice, and shampoo, shaving cream, toothbrush, facial wash\"], [\"what fruits did I buy from the grocery store on 2016/06/24?\", \"mangos, blueberries, oranges, apricots\"], [\"what drinks did I buy from the grocery store on 2016/06/24?\", \"tea, apple juice\"], [\"what toiletries did I buy from the grocery store on 2016/06/24?\", \"shampoo, shaving cream, toothbrush, facial wash\"], [\"who was with me at the grocery store on 2016/06/24?\", \"Andrew, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4167\", \"logical_representation\": [\"2016/06/24\", \"breakfast\", \"pancakes\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Carter, Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/06/24?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2016/06/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/28\": {\"grocery\": {\"eid\": \"e3865\", \"logical_representation\": [\"2016/06/28\", \"I bought some blackberries, pears, cherres, mangos, pineapple juice, milk, orange juice, facial wash from the grocery store. I saw Kayden, Emily, Carter, Andrew at the grocery store.\", \"blackberries, pears, cherres, mangos\", \"pineapple juice, milk, orange juice\", \"facial wash\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I bought some blackberries, pears, cherres, mangos, pineapple juice, milk, orange juice, facial wash from the grocery store. I saw Kayden, Emily, Carter, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/06/28?\", \"blackberries, pears, cherres, mangos, pineapple juice, milk, orange juice, and facial wash\"], [\"what fruits did I buy from the grocery store on 2016/06/28?\", \"blackberries, pears, cherres, mangos\"], [\"what drinks did I buy from the grocery store on 2016/06/28?\", \"pineapple juice, milk, orange juice\"], [\"what toiletries did I buy from the grocery store on 2016/06/28?\", \"facial wash\"], [\"who did I see at the grocery store on 2016/06/28?\", \"Kayden, Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4173\", \"logical_representation\": [\"2016/06/28\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/06/28?\", \"27 minutes\"], [\"what did I read on 2016/06/28?\", \"news\"], [\"Did I read on 2016/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/05\": {\"grocery\": {\"eid\": \"e3866\", \"logical_representation\": [\"2016/07/05\", \"I bought some oranges, peaches, guava juice, coffee, milk, orange juice, mouthwash, paper towel, toothpaste, toothbrush from the grocery store. I saw Andrew at the grocery store.\", \"oranges, peaches\", \"guava juice, coffee, milk, orange juice\", \"mouthwash, paper towel, toothpaste, toothbrush\", \"Andrew\"], \"text_template_based\": \"I bought some oranges, peaches, guava juice, coffee, milk, orange juice, mouthwash, paper towel, toothpaste, toothbrush from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/07/05?\", \"oranges, peaches, guava juice, coffee, milk, orange juice, and mouthwash, paper towel, toothpaste, toothbrush\"], [\"what fruits did I buy from the grocery store on 2016/07/05?\", \"oranges, peaches\"], [\"what drinks did I buy from the grocery store on 2016/07/05?\", \"guava juice, coffee, milk, orange juice\"], [\"what toiletries did I buy from the grocery store on 2016/07/05?\", \"mouthwash, paper towel, toothpaste, toothbrush\"], [\"who did I see at the grocery store on 2016/07/05?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4182\", \"logical_representation\": [\"2016/07/05\", \"news\", \"40 minutes\"], \"text_template_based\": \"I watched news for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/05?\", \"40 minutes\"], [\"what did I watch on tv on 2016/07/05?\", \"news\"], [\"Did I watch tv on 2016/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/09\": {\"hobbies\": {\"eid\": \"e3867\", \"logical_representation\": [\"2016/07/09\", \"I spent some time yoga on 2016/07/09.\", \"yoga\", \"Piper\"], \"text_template_based\": \"I spent some time yoga on 2016/07/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2016/07/09\"], [\"On 2016/07/09, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4187\", \"logical_representation\": [\"2016/07/09\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/07/09?\", \"23 minutes\"], [\"what did I read on 2016/07/09?\", \"social media\"], [\"Did I read on 2016/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/13\": {\"grocery\": {\"eid\": \"e3868\", \"logical_representation\": [\"2016/07/13\", \"I bought some oranges, apricots, raspberries, blueberries, chocolate milk, guava juice, facial wash, paper towel, conditioner, toothbrush from the grocery store. I saw Carter, Emily at the grocery store.\", \"oranges, apricots, raspberries, blueberries\", \"chocolate milk, guava juice\", \"facial wash, paper towel, conditioner, toothbrush\", \"Carter, Emily\"], \"text_template_based\": \"I bought some oranges, apricots, raspberries, blueberries, chocolate milk, guava juice, facial wash, paper towel, conditioner, toothbrush from the grocery store. I saw Carter, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/07/13?\", \"oranges, apricots, raspberries, blueberries, chocolate milk, guava juice, and facial wash, paper towel, conditioner, toothbrush\"], [\"what fruits did I buy from the grocery store on 2016/07/13?\", \"oranges, apricots, raspberries, blueberries\"], [\"what drinks did I buy from the grocery store on 2016/07/13?\", \"chocolate milk, guava juice\"], [\"what toiletries did I buy from the grocery store on 2016/07/13?\", \"facial wash, paper towel, conditioner, toothbrush\"], [\"who did I see at the grocery store on 2016/07/13?\", \"Carter, Emily\"]], \"multihop_qa_pairs\": []}}, \"2016/07/17\": {\"cook\": {\"eid\": \"e3869\", \"logical_representation\": [\"2016/07/17\", \"I was cooking asian slaw, thai noodle salad, thai green curry paste on 2016/07/17 with Nora, Layla, Rylee at my place\", \"cook\", \"asian slaw, thai noodle salad, thai green curry paste\", \"Nora, Layla, Rylee\", \"my place\"], \"text_template_based\": \"I was cooking asian slaw, thai noodle salad, thai green curry paste on 2016/07/17 with Nora, Layla, Rylee at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  asian slaw, thai noodle salad, thai green curry paste with Nora, Layla, Rylee?\", \"2016/07/17\"], [\"what did I  on 2016/07/17?\", \"asian slaw, thai noodle salad, thai green curry paste\"], [\"who was I with when I  asian slaw, thai noodle salad, thai green curry paste on 2016/07/17?\", \"Nora, Layla, Rylee\"]], \"multihop_qa_pairs\": []}}, \"2016/07/18\": {\"grocery\": {\"eid\": \"e3870\", \"logical_representation\": [\"2016/07/18\", \"I bought some mangos, strawberries, apricots, apple juice, coffee, orange juice, soda, mouth wash, shampoo from the grocery store. I saw Nora, Nevaeh, Rylee at the grocery store.\", \"mangos, strawberries, apricots\", \"apple juice, coffee, orange juice, soda\", \"mouth wash, shampoo\", \"Nora, Nevaeh, Rylee\"], \"text_template_based\": \"I bought some mangos, strawberries, apricots, apple juice, coffee, orange juice, soda, mouth wash, shampoo from the grocery store. I saw Nora, Nevaeh, Rylee at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/07/18?\", \"mangos, strawberries, apricots, apple juice, coffee, orange juice, soda, and mouth wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2016/07/18?\", \"mangos, strawberries, apricots\"], [\"what drinks did I buy from the grocery store on 2016/07/18?\", \"apple juice, coffee, orange juice, soda\"], [\"what toiletries did I buy from the grocery store on 2016/07/18?\", \"mouth wash, shampoo\"], [\"who did I see at the grocery store on 2016/07/18?\", \"Nora, Nevaeh, Rylee\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4196\", \"logical_representation\": [\"2016/07/18\", \"lunch\", \"tacos\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/07/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4197\", \"logical_representation\": [\"2016/07/18\", \"Piper, Rylee\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Piper, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee during lunch hours on 2016/07/18?\", \"18 minutes\"], [\"who did I talk to on 2016/07/18?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2016/07/18?\", \"yes\"], [\"Did I talk to anyone on 2016/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/01\": {\"dating\": {\"eid\": \"e3871\", \"logical_representation\": [\"2016/08/01\", \"Jordan\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Jordan on 2016/08/01 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/08/01\", \"Jordan\"], [\"where did I go for the date on 2016/08/01\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4226\", \"logical_representation\": [\"2016/08/01\", \"breakfast\", \"toast and cheese\", \"Hazel, Rylee, Piper, Kinsley, Nevaeh, Nora, Olivia, Layla, Lydia\"], \"text_template_based\": \"I had breakfast with Hazel, Rylee, Piper, Kinsley, Nevaeh, Nora, Olivia, Layla, Lydia. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/08/01?\", \"Hazel, Rylee, Piper, Kinsley, Nevaeh, Nora, Olivia, Layla, Lydia\"], [\"what did I eat for breakfast on 2016/08/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4227\", \"logical_representation\": [\"2016/08/01\", \"dinner\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/08/01\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/08/02\": {\"grocery\": {\"eid\": \"e3872\", \"logical_representation\": [\"2016/08/02\", \"I went grocery shopping with Rylee, Eva, Piper, Hazel, Layla, Lydia, Olivia, Claire, Nevaeh, Piper, Kinsley. I bought some raspberries, apricots, strawberries, mangos, milk, pineapple juice, and facial wash, mouth wash, mouthwash, toilet paper\", \"raspberries, apricots, strawberries, mangos\", \"milk, pineapple juice\", \"facial wash, mouth wash, mouthwash, toilet paper\", \"Rylee, Eva, Piper, Hazel, Layla, Lydia, Olivia, Claire, Nevaeh, Piper, Kinsley\"], \"text_template_based\": \"I went grocery shopping with Rylee, Eva, Piper, Hazel, Layla, Lydia, Olivia, Claire, Nevaeh, Piper, Kinsley. I bought some raspberries, apricots, strawberries, mangos, milk, pineapple juice, and facial wash, mouth wash, mouthwash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/08/02?\", \"raspberries, apricots, strawberries, mangos, milk, pineapple juice, and facial wash, mouth wash, mouthwash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2016/08/02?\", \"raspberries, apricots, strawberries, mangos\"], [\"what drinks did I buy from the grocery store on 2016/08/02?\", \"milk, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2016/08/02?\", \"facial wash, mouth wash, mouthwash, toilet paper\"], [\"who was with me at the grocery store on 2016/08/02?\", \"Rylee, Eva, Piper, Hazel, Layla, Lydia, Olivia, Claire, Nevaeh, Piper, Kinsley\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4228\", \"logical_representation\": [\"2016/08/02\", \"lunch\", \"fish and chips\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had fish and chips for lunch with Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/08/02?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for lunch on 2016/08/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4229\", \"logical_representation\": [\"2016/08/02\", \"Piper, Nevaeh, Olivia, Piper\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Olivia, Piper for 47 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Olivia, Piper in the late afternoon on 2016/08/02?\", \"47 minutes\"], [\"who did I talk to on 2016/08/02?\", \"Piper, Nevaeh, Olivia, Piper\"], [\"Did I talk to Piper, Nevaeh, Olivia, Piper on 2016/08/02?\", \"yes\"], [\"Did I talk to anyone on 2016/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/11\": {\"dating\": {\"eid\": \"e3873\", \"logical_representation\": [\"2016/08/11\", \"Wesley\", \"a coffee Shop\"], \"text_template_based\": \"On 2016/08/11, I took Wesley on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/08/11\", \"Wesley\"], [\"where did I go for the date on 2016/08/11\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}}, \"2016/08/07\": {\"hobbies\": {\"eid\": \"e3874\", \"logical_representation\": [\"2016/08/07\", \"I spent time learning a language on 2016/08/07 with Andrew.\", \"learning a language\", \"Andrew\"], \"text_template_based\": \"I spent time learning a language on 2016/08/07 with Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Andrew?\", \"2016/08/07\"], [\"On 2016/08/07, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2016/08/07?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4237\", \"logical_representation\": [\"2016/08/07\", \"Lydia, Nora, Avery, Kinsley\", \"during lunch hours\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Lydia, Nora, Avery, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Avery, Kinsley during lunch hours on 2016/08/07?\", \"52 minutes\"], [\"who did I talk to on 2016/08/07?\", \"Lydia, Nora, Avery, Kinsley\"], [\"Did I talk to Lydia, Nora, Avery, Kinsley on 2016/08/07?\", \"yes\"], [\"Did I talk to anyone on 2016/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/06\": {\"grocery\": {\"eid\": \"e3875\", \"logical_representation\": [\"2016/08/06\", \"I went grocery shopping with Kinsley, Piper, Hazel, Nora, Olivia, Lydia. I bought some blueberries, apricots, watermelons, sports drinks, and mouth wash, body lotion, paper towel\", \"blueberries, apricots, watermelons\", \"sports drinks\", \"mouth wash, body lotion, paper towel\", \"Kinsley, Piper, Hazel, Nora, Olivia, Lydia\"], \"text_template_based\": \"I went grocery shopping with Kinsley, Piper, Hazel, Nora, Olivia, Lydia. I bought some blueberries, apricots, watermelons, sports drinks, and mouth wash, body lotion, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/08/06?\", \"blueberries, apricots, watermelons, sports drinks, and mouth wash, body lotion, paper towel\"], [\"what fruits did I buy from the grocery store on 2016/08/06?\", \"blueberries, apricots, watermelons\"], [\"what drinks did I buy from the grocery store on 2016/08/06?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2016/08/06?\", \"mouth wash, body lotion, paper towel\"], [\"who was with me at the grocery store on 2016/08/06?\", \"Kinsley, Piper, Hazel, Nora, Olivia, Lydia\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4236\", \"logical_representation\": [\"2016/08/06\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I watched a tv series for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/06?\", \"21 minutes\"], [\"what did I watch on tv on 2016/08/06?\", \"a tv series\"], [\"Did I watch tv on 2016/08/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/14\": {\"grocery\": {\"eid\": \"e3876\", \"logical_representation\": [\"2016/08/14\", \"I bought some nectarines, watermelons, bananas, mandarins, chocolate milk, sports drinks, toilet paper, toothbrush, paper towel online.\", \"nectarines, watermelons, bananas, mandarins\", \"chocolate milk, sports drinks\", \"toilet paper, toothbrush, paper towel\", \"Nevaeh, Hazel, Kinsley\"], \"text_template_based\": \"I bought some nectarines, watermelons, bananas, mandarins, chocolate milk, sports drinks, toilet paper, toothbrush, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/08/14?\", \"nectarines, watermelons, bananas, mandarins, chocolate milk, sports drinks, and toilet paper, toothbrush, paper towel\"], [\"what fruits did I buy online on 2016/08/14?\", \"nectarines, watermelons, bananas, mandarins\"], [\"what drinks did I buy online on 2016/08/14?\", \"chocolate milk, sports drinks\"], [\"what toiletries did I buy online on 2016/08/14?\", \"toilet paper, toothbrush, paper towel\"]], \"multihop_qa_pairs\": []}}, \"2016/08/28\": {\"cook\": {\"eid\": \"e3877\", \"logical_representation\": [\"2016/08/28\", \"I entertained Nora, Hazel, Layla at my place on 2016/08/28 and cook cube steak and gravy, scallion pancake, gado gado\", \"cook\", \"cube steak and gravy, scallion pancake, gado gado\", \"Nora, Hazel, Layla\", \"my place\"], \"text_template_based\": \"I entertained Nora, Hazel, Layla at my place on 2016/08/28 and cook cube steak and gravy, scallion pancake, gado gado\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook cube steak and gravy, scallion pancake, gado gado with Nora, Hazel, Layla?\", \"2016/08/28\"], [\"what did I cook on 2016/08/28?\", \"cube steak and gravy, scallion pancake, gado gado\"], [\"who was I with when I  cube steak and gravy, scallion pancake, gado gado on 2016/08/28?\", \"Nora, Hazel, Layla\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4264\", \"logical_representation\": [\"2016/08/28\", \"Kinsley, Avery, Nevaeh, Hazel\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Kinsley, Avery, Nevaeh, Hazel for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Nevaeh, Hazel in the morning on 2016/08/28?\", \"45 minutes\"], [\"who did I talk to on 2016/08/28?\", \"Kinsley, Avery, Nevaeh, Hazel\"], [\"Did I talk to Kinsley, Avery, Nevaeh, Hazel on 2016/08/28?\", \"yes\"], [\"Did I talk to anyone on 2016/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/02\": {\"dating\": {\"eid\": \"e3878\", \"logical_representation\": [\"2016/09/02\", \"Evelyn\", \"a park\"], \"text_template_based\": \"I went on a date with Evelyn on 2016/09/02 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/09/02\", \"Evelyn\"], [\"where did I go for the date on 2016/09/02\", \"a park\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4269\", \"logical_representation\": [\"2016/09/02\", \"Rylee, Claire, Lydia, Nevaeh\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Rylee, Claire, Lydia, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Lydia, Nevaeh in the early evening on 2016/09/02?\", \"42 minutes\"], [\"who did I talk to on 2016/09/02?\", \"Rylee, Claire, Lydia, Nevaeh\"], [\"Did I talk to Rylee, Claire, Lydia, Nevaeh on 2016/09/02?\", \"yes\"], [\"Did I talk to anyone on 2016/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/14\": {\"hobbies\": {\"eid\": \"e3879\", \"logical_representation\": [\"2016/09/14\", \"I really enjoyed learning a language on 2016/09/14\", \"learning a language\", \"Kinsley, Hazel, Olivia\"], \"text_template_based\": \"I really enjoyed learning a language on 2016/09/14\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2016/09/14\"], [\"On 2016/09/14, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e3880\", \"logical_representation\": [\"2016/09/14\", \"I bought some strawberries, clementines, guava juice, pineapple juice, toothpaste, toilet paper, facial wash, toothbrush from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\", \"strawberries, clementines\", \"guava juice, pineapple juice\", \"toothpaste, toilet paper, facial wash, toothbrush\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I bought some strawberries, clementines, guava juice, pineapple juice, toothpaste, toilet paper, facial wash, toothbrush from the grocery store. I saw Kayden, Carter, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/09/14?\", \"strawberries, clementines, guava juice, pineapple juice, and toothpaste, toilet paper, facial wash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2016/09/14?\", \"strawberries, clementines\"], [\"what drinks did I buy from the grocery store on 2016/09/14?\", \"guava juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2016/09/14?\", \"toothpaste, toilet paper, facial wash, toothbrush\"], [\"who did I see at the grocery store on 2016/09/14?\", \"Kayden, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4284\", \"logical_representation\": [\"2016/09/14\", \"Piper, Claire\", \"in the late afternoon\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Piper, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire in the late afternoon on 2016/09/14?\", \"35 minutes\"], [\"who did I talk to on 2016/09/14?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2016/09/14?\", \"yes\"], [\"Did I talk to anyone on 2016/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4285\", \"logical_representation\": [\"2016/09/14\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I watched a movie for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/14?\", \"43 minutes\"], [\"what did I watch on tv on 2016/09/14?\", \"a movie\"], [\"Did I watch tv on 2016/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/19\": {\"bake\": {\"eid\": \"e3881\", \"logical_representation\": [\"2016/09/19\", \"I really enjoyed baking chrissy teigen\\u2019s 3-ingredient chocolate mousse on 2016/09/19 with Kayden, Emily, Andrew at my place\", \"bake\", \"chrissy teigen\\u2019s 3-ingredient chocolate mousse\", \"Kayden, Emily, Andrew\", \"my place\"], \"text_template_based\": \"I really enjoyed baking chrissy teigen\\u2019s 3-ingredient chocolate mousse on 2016/09/19 with Kayden, Emily, Andrew at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  chrissy teigen\\u2019s 3-ingredient chocolate mousse with Kayden, Emily, Andrew?\", \"2016/09/19\"], [\"what did I  on 2016/09/19?\", \"chrissy teigen\\u2019s 3-ingredient chocolate mousse\"], [\"who was I with when I  chrissy teigen\\u2019s 3-ingredient chocolate mousse on 2016/09/19?\", \"Kayden, Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4293\", \"logical_representation\": [\"2016/09/19\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/09/19?\", \"49 minutes\"], [\"what did I read on 2016/09/19?\", \"news\"], [\"Did I read on 2016/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/22\": {\"grocery\": {\"eid\": \"e3882\", \"logical_representation\": [\"2016/09/22\", \"I bought some clementines, guava, bananas, mango juice, conditioner online.\", \"clementines, guava, bananas\", \"mango juice\", \"conditioner\", \"Hazel, Claire, Kinsley\"], \"text_template_based\": \"I bought some clementines, guava, bananas, mango juice, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/09/22?\", \"clementines, guava, bananas, mango juice, and conditioner\"], [\"what fruits did I buy online on 2016/09/22?\", \"clementines, guava, bananas\"], [\"what drinks did I buy online on 2016/09/22?\", \"mango juice\"], [\"what toiletries did I buy online on 2016/09/22?\", \"conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4300\", \"logical_representation\": [\"2016/09/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/09/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4301\", \"logical_representation\": [\"2016/09/22\", \"breakfast\", \"oatmeal\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/22\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4302\", \"logical_representation\": [\"2016/09/22\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/09/22?\", \"9 minutes\"], [\"what did I read on 2016/09/22?\", \"news\"], [\"Did I read on 2016/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/27\": {\"dating\": {\"eid\": \"e3883\", \"logical_representation\": [\"2016/09/27\", \"Mila\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Mila on 2016/09/27 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/09/27\", \"Mila\"], [\"where did I go for the date on 2016/09/27\", \"a restaurant\"]], \"multihop_qa_pairs\": []}}, \"2016/10/01\": {\"dating\": {\"eid\": \"e3884\", \"logical_representation\": [\"2016/10/01\", \"Nathan\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Nathan on 2016/10/01 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/10/01\", \"Nathan\"], [\"where did I go for the date on 2016/10/01\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4317\", \"logical_representation\": [\"2016/10/01\", \"biking\"], \"text_template_based\": \"I did biking on 2016/10/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/01?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4318\", \"logical_representation\": [\"2016/10/01\", \"Piper, Nora, Claire\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Piper, Nora, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Claire in the early evening on 2016/10/01?\", \"50 minutes\"], [\"who did I talk to on 2016/10/01?\", \"Piper, Nora, Claire\"], [\"Did I talk to Piper, Nora, Claire on 2016/10/01?\", \"yes\"], [\"Did I talk to anyone on 2016/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4319\", \"logical_representation\": [\"2016/10/01\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/10/01?\", \"39 minutes\"], [\"what did I read on 2016/10/01?\", \"a book\"], [\"Did I read on 2016/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/30\": {\"grocery\": {\"eid\": \"e3885\", \"logical_representation\": [\"2016/09/30\", \"I went grocery shopping. I bought some pineapples, blueberries, tea, soda, and toilet paper, facial wash, toothpaste\", \"pineapples, blueberries\", \"tea, soda\", \"toilet paper, facial wash, toothpaste\", \"Nevaeh, Piper, Nora, Layla, Piper, Claire, Rylee, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some pineapples, blueberries, tea, soda, and toilet paper, facial wash, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/09/30?\", \"pineapples, blueberries, tea, soda, and toilet paper, facial wash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2016/09/30?\", \"pineapples, blueberries\"], [\"what drinks did I buy from the grocery store on 2016/09/30?\", \"tea, soda\"], [\"what toiletries did I buy from the grocery store on 2016/09/30?\", \"toilet paper, facial wash, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4315\", \"logical_representation\": [\"2016/09/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/09/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4316\", \"logical_representation\": [\"2016/09/30\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/30?\", \"31 minutes\"], [\"what did I watch on tv on 2016/09/30?\", \"news\"], [\"Did I watch tv on 2016/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/03\": {\"grocery\": {\"eid\": \"e3886\", \"logical_representation\": [\"2016/10/03\", \"I bought some clementines, raspberries, apricots, pineapples, soda, tea, coffee, mango juice, body lotion, shaving cream, shampoo online.\", \"clementines, raspberries, apricots, pineapples\", \"soda, tea, coffee, mango juice\", \"body lotion, shaving cream, shampoo\", \"Andrew\"], \"text_template_based\": \"I bought some clementines, raspberries, apricots, pineapples, soda, tea, coffee, mango juice, body lotion, shaving cream, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/10/03?\", \"clementines, raspberries, apricots, pineapples, soda, tea, coffee, mango juice, and body lotion, shaving cream, shampoo\"], [\"what fruits did I buy online on 2016/10/03?\", \"clementines, raspberries, apricots, pineapples\"], [\"what drinks did I buy online on 2016/10/03?\", \"soda, tea, coffee, mango juice\"], [\"what toiletries did I buy online on 2016/10/03?\", \"body lotion, shaving cream, shampoo\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4321\", \"logical_representation\": [\"2016/10/03\", \"lunch\", \"sushi\", \"Jackson\"], \"text_template_based\": \"I had lunch with Jackson. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/10/03?\", \"Jackson\"], [\"what did I eat for lunch on 2016/10/03\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/10/07\": {\"grocery\": {\"eid\": \"e3887\", \"logical_representation\": [\"2016/10/07\", \"I bought some apples, apricots, mangos, watermelons, milk, soda, tea, coffee, toothpaste online.\", \"apples, apricots, mangos, watermelons\", \"milk, soda, tea, coffee\", \"toothpaste\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I bought some apples, apricots, mangos, watermelons, milk, soda, tea, coffee, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/10/07?\", \"apples, apricots, mangos, watermelons, milk, soda, tea, coffee, and toothpaste\"], [\"what fruits did I buy online on 2016/10/07?\", \"apples, apricots, mangos, watermelons\"], [\"what drinks did I buy online on 2016/10/07?\", \"milk, soda, tea, coffee\"], [\"what toiletries did I buy online on 2016/10/07?\", \"toothpaste\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4327\", \"logical_representation\": [\"2016/10/07\", \"lunch\", \"a burger\", \"Kinsley, Hazel, Piper, Nora, Lydia, Piper\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/10/07\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2016/10/20\": {\"grocery\": {\"eid\": \"e3888\", \"logical_representation\": [\"2016/10/20\", \"I bought some blueberries, cherres, raspberries, pineapple juice, tea, paper towel online.\", \"blueberries, cherres, raspberries\", \"pineapple juice, tea\", \"paper towel\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I bought some blueberries, cherres, raspberries, pineapple juice, tea, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2016/10/20?\", \"blueberries, cherres, raspberries, pineapple juice, tea, and paper towel\"], [\"what fruits did I buy online on 2016/10/20?\", \"blueberries, cherres, raspberries\"], [\"what drinks did I buy online on 2016/10/20?\", \"pineapple juice, tea\"], [\"what toiletries did I buy online on 2016/10/20?\", \"paper towel\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4346\", \"logical_representation\": [\"2016/10/20\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/10/20?\", \"20 minutes\"], [\"what did I read on 2016/10/20?\", \"news\"], [\"Did I read on 2016/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/25\": {\"dating\": {\"eid\": \"e3889\", \"logical_representation\": [\"2016/10/25\", \"Lucas\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Lucas on 2016/10/25 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/10/25\", \"Lucas\"], [\"where did I go for the date on 2016/10/25\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4353\", \"logical_representation\": [\"2016/10/25\", \"dinner\", \"chinese food\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had chinese food for dinner with Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/10/25?\", \"Kayden, Emily, Carter\"], [\"what did I eat for dinner on 2016/10/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2016/10/21\": {\"hobbies\": {\"eid\": \"e3890\", \"logical_representation\": [\"2016/10/21\", \"I spent time learning a language on 2016/10/21 with Lydia, Rylee.\", \"learning a language\", \"Lydia, Rylee\"], \"text_template_based\": \"I spent time learning a language on 2016/10/21 with Lydia, Rylee.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Lydia, Rylee?\", \"2016/10/21\"], [\"On 2016/10/21, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2016/10/21?\", \"Lydia, Rylee\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4347\", \"logical_representation\": [\"2016/10/21\", \"lunch\", \"pasta\", \"Piper, Nora, Rylee, Piper, Layla, Eva, Hazel, Kinsley\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/10/21\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2016/10/26\": {\"grocery\": {\"eid\": \"e3891\", \"logical_representation\": [\"2016/10/26\", \"I went grocery shopping. I bought some bananas, blackberries, coffee, mango juice, and toilet paper\", \"bananas, blackberries\", \"coffee, mango juice\", \"toilet paper\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some bananas, blackberries, coffee, mango juice, and toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/10/26?\", \"bananas, blackberries, coffee, mango juice, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2016/10/26?\", \"bananas, blackberries\"], [\"what drinks did I buy from the grocery store on 2016/10/26?\", \"coffee, mango juice\"], [\"what toiletries did I buy from the grocery store on 2016/10/26?\", \"toilet paper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4354\", \"logical_representation\": [\"2016/10/26\", \"breakfast\", \"cereals\", \"Piper, Piper, Nora, Avery, Rylee, Lydia\"], \"text_template_based\": \"I had cereals for breakfast with Piper, Piper, Nora, Avery, Rylee, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/10/26?\", \"Piper, Piper, Nora, Avery, Rylee, Lydia\"], [\"what did I eat for breakfast on 2016/10/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4355\", \"logical_representation\": [\"2016/10/26\", \"Piper, Claire, Nora, Olivia\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Nora, Olivia for 31 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Nora, Olivia in the morning on 2016/10/26?\", \"31 minutes\"], [\"who did I talk to on 2016/10/26?\", \"Piper, Claire, Nora, Olivia\"], [\"Did I talk to Piper, Claire, Nora, Olivia on 2016/10/26?\", \"yes\"], [\"Did I talk to anyone on 2016/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/07\": {\"dating\": {\"eid\": \"e3892\", \"logical_representation\": [\"2016/11/07\", \"Camila\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Camila on 2016/11/07 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/11/07\", \"Camila\"], [\"where did I go for the date on 2016/11/07\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4369\", \"logical_representation\": [\"2016/11/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/11/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4370\", \"logical_representation\": [\"2016/11/07\", \"lunch\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2016/11/16\": {\"bake\": {\"eid\": \"e3893\", \"logical_representation\": [\"2016/11/16\", \"I was baking lemon meringue cookies, blackberry-raspberry skillet cobbler, chocolate skillet cake on 2016/11/16 with Carter, Emily, Andrew at my place\", \"bake\", \"lemon meringue cookies, blackberry-raspberry skillet cobbler, chocolate skillet cake\", \"Carter, Emily, Andrew\", \"my place\"], \"text_template_based\": \"I was baking lemon meringue cookies, blackberry-raspberry skillet cobbler, chocolate skillet cake on 2016/11/16 with Carter, Emily, Andrew at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  lemon meringue cookies, blackberry-raspberry skillet cobbler, chocolate skillet cake with Carter, Emily, Andrew?\", \"2016/11/16\"], [\"what did I  on 2016/11/16?\", \"lemon meringue cookies, blackberry-raspberry skillet cobbler, chocolate skillet cake\"], [\"who was I with when I  lemon meringue cookies, blackberry-raspberry skillet cobbler, chocolate skillet cake on 2016/11/16?\", \"Carter, Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e3894\", \"logical_representation\": [\"2016/11/16\", \"I spent some time learning a language on 2016/11/16.\", \"learning a language\", \"Avery\"], \"text_template_based\": \"I spent some time learning a language on 2016/11/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2016/11/16\"], [\"On 2016/11/16, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4381\", \"logical_representation\": [\"2016/11/16\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/11/16\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2016/11/15\": {\"grocery\": {\"eid\": \"e3895\", \"logical_representation\": [\"2016/11/15\", \"I bought some blackberries, nectarines, chocolate milk, body lotion from the grocery store. I saw Emily, Kayden, Carter, Andrew at the grocery store.\", \"blackberries, nectarines\", \"chocolate milk\", \"body lotion\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I bought some blackberries, nectarines, chocolate milk, body lotion from the grocery store. I saw Emily, Kayden, Carter, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/11/15?\", \"blackberries, nectarines, chocolate milk, and body lotion\"], [\"what fruits did I buy from the grocery store on 2016/11/15?\", \"blackberries, nectarines\"], [\"what drinks did I buy from the grocery store on 2016/11/15?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2016/11/15?\", \"body lotion\"], [\"who did I see at the grocery store on 2016/11/15?\", \"Emily, Kayden, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4380\", \"logical_representation\": [\"2016/11/15\", \"Piper, Layla, Hazel\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Hazel for 33 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Hazel in the early afternoon on 2016/11/15?\", \"33 minutes\"], [\"who did I talk to on 2016/11/15?\", \"Piper, Layla, Hazel\"], [\"Did I talk to Piper, Layla, Hazel on 2016/11/15?\", \"yes\"], [\"Did I talk to anyone on 2016/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/19\": {\"grocery\": {\"eid\": \"e3896\", \"logical_representation\": [\"2016/11/19\", \"I bought some blackberries, cherres, tea, mineral water, sports drinks, mouth wash, conditioner, toothbrush, shampoo from the grocery store. I saw Hazel, Rylee, Lydia, Eva, Piper, Layla, Avery, Nevaeh, Piper, Kinsley, Olivia, Claire, Nora at the grocery store.\", \"blackberries, cherres\", \"tea, mineral water, sports drinks\", \"mouth wash, conditioner, toothbrush, shampoo\", \"Hazel, Rylee, Lydia, Eva, Piper, Layla, Avery, Nevaeh, Piper, Kinsley, Olivia, Claire, Nora\"], \"text_template_based\": \"I bought some blackberries, cherres, tea, mineral water, sports drinks, mouth wash, conditioner, toothbrush, shampoo from the grocery store. I saw Hazel, Rylee, Lydia, Eva, Piper, Layla, Avery, Nevaeh, Piper, Kinsley, Olivia, Claire, Nora at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/11/19?\", \"blackberries, cherres, tea, mineral water, sports drinks, and mouth wash, conditioner, toothbrush, shampoo\"], [\"what fruits did I buy from the grocery store on 2016/11/19?\", \"blackberries, cherres\"], [\"what drinks did I buy from the grocery store on 2016/11/19?\", \"tea, mineral water, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2016/11/19?\", \"mouth wash, conditioner, toothbrush, shampoo\"], [\"who did I see at the grocery store on 2016/11/19?\", \"Hazel, Rylee, Lydia, Eva, Piper, Layla, Avery, Nevaeh, Piper, Kinsley, Olivia, Claire, Nora\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4383\", \"logical_representation\": [\"2016/11/19\", \"Nora\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I talked to Nora for 54 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora during lunch hours on 2016/11/19?\", \"54 minutes\"], [\"who did I talk to on 2016/11/19?\", \"Nora\"], [\"Did I talk to Nora on 2016/11/19?\", \"yes\"], [\"Did I talk to anyone on 2016/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/25\": {\"dating\": {\"eid\": \"e3897\", \"logical_representation\": [\"2016/11/25\", \"Hannah\", \"a restaurant\"], \"text_template_based\": \"On 2016/11/25, I took Hannah on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/11/25\", \"Hannah\"], [\"where did I go for the date on 2016/11/25\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4395\", \"logical_representation\": [\"2016/11/25\", \"Rylee, Olivia, Lydia, Avery\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Rylee, Olivia, Lydia, Avery for 9 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia, Lydia, Avery late in the evening on 2016/11/25?\", \"9 minutes\"], [\"who did I talk to on 2016/11/25?\", \"Rylee, Olivia, Lydia, Avery\"], [\"Did I talk to Rylee, Olivia, Lydia, Avery on 2016/11/25?\", \"yes\"], [\"Did I talk to anyone on 2016/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4396\", \"logical_representation\": [\"2016/11/25\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/25?\", \"34 minutes\"], [\"what did I watch on tv on 2016/11/25?\", \"a tv series\"], [\"Did I watch tv on 2016/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/30\": {\"dating\": {\"eid\": \"e3898\", \"logical_representation\": [\"2016/11/30\", \"Aaliyah\", \"a coffee Shop\"], \"text_template_based\": \"On 2016/11/30, I took Aaliyah on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/11/30\", \"Aaliyah\"], [\"where did I go for the date on 2016/11/30\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4404\", \"logical_representation\": [\"2016/11/30\", \"lunch\", \"steak\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4405\", \"logical_representation\": [\"2016/11/30\", \"dinner\", \"tacos\", \"Emily, Carter\"], \"text_template_based\": \"I had tacos for dinner with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/11/30?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2016/11/30\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2016/12/05\": {\"grocery\": {\"eid\": \"e3899\", \"logical_representation\": [\"2016/12/05\", \"I bought some apricots, peaches, raspberries, nectarines, tea, orange juice, coffee, apple juice, toothbrush from the grocery store. I saw Benjamin, Avery, Jackson at the grocery store.\", \"apricots, peaches, raspberries, nectarines\", \"tea, orange juice, coffee, apple juice\", \"toothbrush\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I bought some apricots, peaches, raspberries, nectarines, tea, orange juice, coffee, apple juice, toothbrush from the grocery store. I saw Benjamin, Avery, Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/12/05?\", \"apricots, peaches, raspberries, nectarines, tea, orange juice, coffee, apple juice, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2016/12/05?\", \"apricots, peaches, raspberries, nectarines\"], [\"what drinks did I buy from the grocery store on 2016/12/05?\", \"tea, orange juice, coffee, apple juice\"], [\"what toiletries did I buy from the grocery store on 2016/12/05?\", \"toothbrush\"], [\"who did I see at the grocery store on 2016/12/05?\", \"Benjamin, Avery, Jackson\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4411\", \"logical_representation\": [\"2016/12/05\", \"lunch\", \"sushi\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/12/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4412\", \"logical_representation\": [\"2016/12/05\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I watched a tv series for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/05?\", \"13 minutes\"], [\"what did I watch on tv on 2016/12/05?\", \"a tv series\"], [\"Did I watch tv on 2016/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/14\": {\"grocery\": {\"eid\": \"e3900\", \"logical_representation\": [\"2016/12/14\", \"I went grocery shopping with Emily, Carter, Kayden. I bought some oranges, raspberries, soda, and conditioner, toilet paper\", \"oranges, raspberries\", \"soda\", \"conditioner, toilet paper\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I went grocery shopping with Emily, Carter, Kayden. I bought some oranges, raspberries, soda, and conditioner, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/12/14?\", \"oranges, raspberries, soda, and conditioner, toilet paper\"], [\"what fruits did I buy from the grocery store on 2016/12/14?\", \"oranges, raspberries\"], [\"what drinks did I buy from the grocery store on 2016/12/14?\", \"soda\"], [\"what toiletries did I buy from the grocery store on 2016/12/14?\", \"conditioner, toilet paper\"], [\"who was with me at the grocery store on 2016/12/14?\", \"Emily, Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4425\", \"logical_representation\": [\"2016/12/14\", \"lunch\", \"fish and chips\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Kayden, Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/12/14?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for lunch on 2016/12/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4426\", \"logical_representation\": [\"2016/12/14\", \"Claire, Layla\", \"in the morning\", \"24 minutes\"], \"text_template_based\": \"I talked to Claire, Layla for 24 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Layla in the morning on 2016/12/14?\", \"24 minutes\"], [\"who did I talk to on 2016/12/14?\", \"Claire, Layla\"], [\"Did I talk to Claire, Layla on 2016/12/14?\", \"yes\"], [\"Did I talk to anyone on 2016/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/19\": {\"dating\": {\"eid\": \"e3901\", \"logical_representation\": [\"2016/12/19\", \"Christophe\", \"a restaurant\"], \"text_template_based\": \"On 2016/12/19, I took Christophe on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/12/19\", \"Christophe\"], [\"where did I go for the date on 2016/12/19\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4433\", \"logical_representation\": [\"2016/12/19\", \"breakfast\", \"cereals\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/12/19?\", \"Andrew\"], [\"what did I eat for breakfast on 2016/12/19\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2016/12/20\": {\"hobbies\": {\"eid\": \"e3902\", \"logical_representation\": [\"2016/12/20\", \"I really enjoyed gardening on 2016/12/20\", \"gardening\", \"Piper\"], \"text_template_based\": \"I really enjoyed gardening on 2016/12/20\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2016/12/20\"], [\"On 2016/12/20, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4434\", \"logical_representation\": [\"2016/12/20\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I watched a documentary for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/20?\", \"16 minutes\"], [\"what did I watch on tv on 2016/12/20?\", \"a documentary\"], [\"Did I watch tv on 2016/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/16\": {\"grocery\": {\"eid\": \"e3903\", \"logical_representation\": [\"2016/12/16\", \"I went grocery shopping with Nora, Olivia, Piper. I bought some apples, pears, peaches, mango juice, apple juice, chocolate milk, mineral water, and paper towel, shampoo, mouthwash\", \"apples, pears, peaches\", \"mango juice, apple juice, chocolate milk, mineral water\", \"paper towel, shampoo, mouthwash\", \"Nora, Olivia, Piper\"], \"text_template_based\": \"I went grocery shopping with Nora, Olivia, Piper. I bought some apples, pears, peaches, mango juice, apple juice, chocolate milk, mineral water, and paper towel, shampoo, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/12/16?\", \"apples, pears, peaches, mango juice, apple juice, chocolate milk, mineral water, and paper towel, shampoo, mouthwash\"], [\"what fruits did I buy from the grocery store on 2016/12/16?\", \"apples, pears, peaches\"], [\"what drinks did I buy from the grocery store on 2016/12/16?\", \"mango juice, apple juice, chocolate milk, mineral water\"], [\"what toiletries did I buy from the grocery store on 2016/12/16?\", \"paper towel, shampoo, mouthwash\"], [\"who was with me at the grocery store on 2016/12/16?\", \"Nora, Olivia, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4429\", \"logical_representation\": [\"2016/12/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/12/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4430\", \"logical_representation\": [\"2016/12/16\", \"dinner\", \"fish and chips\", \"Piper, Nevaeh, Claire, Piper\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2016/12/25\": {\"dating\": {\"eid\": \"e3904\", \"logical_representation\": [\"2016/12/25\", \"Jose\", \"a park\"], \"text_template_based\": \"I went on a date with Jose on 2016/12/25 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2016/12/25\", \"Jose\"], [\"where did I go for the date on 2016/12/25\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4439\", \"logical_representation\": [\"2016/12/25\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Andrew, Carter. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/12/25?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for breakfast on 2016/12/25\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2016/12/23\": {\"grocery\": {\"eid\": \"e3905\", \"logical_representation\": [\"2016/12/23\", \"I went grocery shopping with Jackson, Avery. I bought some mandarins, clementines, oranges, watermelons, tea, soda, apple juice, orange juice, and mouth wash\", \"mandarins, clementines, oranges, watermelons\", \"tea, soda, apple juice, orange juice\", \"mouth wash\", \"Jackson, Avery\"], \"text_template_based\": \"I went grocery shopping with Jackson, Avery. I bought some mandarins, clementines, oranges, watermelons, tea, soda, apple juice, orange juice, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/12/23?\", \"mandarins, clementines, oranges, watermelons, tea, soda, apple juice, orange juice, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2016/12/23?\", \"mandarins, clementines, oranges, watermelons\"], [\"what drinks did I buy from the grocery store on 2016/12/23?\", \"tea, soda, apple juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2016/12/23?\", \"mouth wash\"], [\"who was with me at the grocery store on 2016/12/23?\", \"Jackson, Avery\"]], \"multihop_qa_pairs\": []}}, \"2016/12/26\": {\"grocery\": {\"eid\": \"e3906\", \"logical_representation\": [\"2016/12/26\", \"I bought some strawberries, bananas, guava, sports drinks, coffee, apple juice, guava juice, toothpaste, toilet paper from the grocery store. I saw Avery, Willow, Benjamin, Jackson at the grocery store.\", \"strawberries, bananas, guava\", \"sports drinks, coffee, apple juice, guava juice\", \"toothpaste, toilet paper\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I bought some strawberries, bananas, guava, sports drinks, coffee, apple juice, guava juice, toothpaste, toilet paper from the grocery store. I saw Avery, Willow, Benjamin, Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/12/26?\", \"strawberries, bananas, guava, sports drinks, coffee, apple juice, guava juice, and toothpaste, toilet paper\"], [\"what fruits did I buy from the grocery store on 2016/12/26?\", \"strawberries, bananas, guava\"], [\"what drinks did I buy from the grocery store on 2016/12/26?\", \"sports drinks, coffee, apple juice, guava juice\"], [\"what toiletries did I buy from the grocery store on 2016/12/26?\", \"toothpaste, toilet paper\"], [\"who did I see at the grocery store on 2016/12/26?\", \"Avery, Willow, Benjamin, Jackson\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4440\", \"logical_representation\": [\"2016/12/26\", \"running\"], \"text_template_based\": \"I did running on 2016/12/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/26?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2016/12/30\": {\"grocery\": {\"eid\": \"e3907\", \"logical_representation\": [\"2016/12/30\", \"I went grocery shopping with Benjamin, Willow. I bought some watermelons, pears, pineapples, bananas, orange juice, and mouthwash, body lotion, toothbrush\", \"watermelons, pears, pineapples, bananas\", \"orange juice\", \"mouthwash, body lotion, toothbrush\", \"Benjamin, Willow\"], \"text_template_based\": \"I went grocery shopping with Benjamin, Willow. I bought some watermelons, pears, pineapples, bananas, orange juice, and mouthwash, body lotion, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2016/12/30?\", \"watermelons, pears, pineapples, bananas, orange juice, and mouthwash, body lotion, toothbrush\"], [\"what fruits did I buy from the grocery store on 2016/12/30?\", \"watermelons, pears, pineapples, bananas\"], [\"what drinks did I buy from the grocery store on 2016/12/30?\", \"orange juice\"], [\"what toiletries did I buy from the grocery store on 2016/12/30?\", \"mouthwash, body lotion, toothbrush\"], [\"who was with me at the grocery store on 2016/12/30?\", \"Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4447\", \"logical_representation\": [\"2016/12/30\", \"Lydia, Piper, Kinsley\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Kinsley for 37 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Kinsley in the early evening on 2016/12/30?\", \"37 minutes\"], [\"who did I talk to on 2016/12/30?\", \"Lydia, Piper, Kinsley\"], [\"Did I talk to Lydia, Piper, Kinsley on 2016/12/30?\", \"yes\"], [\"Did I talk to anyone on 2016/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/01\": {\"lunch\": {\"eid\": \"e3908\", \"logical_representation\": [\"2016/01/01\", \"lunch\", \"sushi\", \"Kinsley, Rylee, Piper, Claire, Eva, Hazel, Nevaeh, Olivia, Lydia, Avery\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/01/01\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/01/03\": {\"chat0\": {\"eid\": \"e3909\", \"logical_representation\": [\"2016/01/03\", \"Claire\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2016/01/03?\", \"15 minutes\"], [\"who did I talk to on 2016/01/03?\", \"Claire\"], [\"Did I talk to Claire on 2016/01/03?\", \"yes\"], [\"Did I talk to anyone on 2016/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/05\": {\"lunch\": {\"eid\": \"e3910\", \"logical_representation\": [\"2016/01/05\", \"lunch\", \"steak\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Kayden, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/01/05?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2016/01/05\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2016/01/06\": {\"exercise\": {\"eid\": \"e3911\", \"logical_representation\": [\"2016/01/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/01/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3912\", \"logical_representation\": [\"2016/01/06\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/01/06?\", \"26 minutes\"], [\"what did I read on 2016/01/06?\", \"news\"], [\"Did I read on 2016/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3913\", \"logical_representation\": [\"2016/01/06\", \"news\", \"42 minutes\"], \"text_template_based\": \"I watched news for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/06?\", \"42 minutes\"], [\"what did I watch on tv on 2016/01/06?\", \"news\"], [\"Did I watch tv on 2016/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/07\": {\"exercise\": {\"eid\": \"e3914\", \"logical_representation\": [\"2016/01/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/01/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3915\", \"logical_representation\": [\"2016/01/07\", \"dinner\", \"indian food\", \"Andrew, Carter\"], \"text_template_based\": \"I had indian food for dinner with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/01/07?\", \"Andrew, Carter\"], [\"what did I eat for dinner on 2016/01/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3916\", \"logical_representation\": [\"2016/01/07\", \"Hazel, Claire, Piper\", \"in the early evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Hazel, Claire, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Piper in the early evening on 2016/01/07?\", \"36 minutes\"], [\"who did I talk to on 2016/01/07?\", \"Hazel, Claire, Piper\"], [\"Did I talk to Hazel, Claire, Piper on 2016/01/07?\", \"yes\"], [\"Did I talk to anyone on 2016/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/08\": {\"read\": {\"eid\": \"e3917\", \"logical_representation\": [\"2016/01/08\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/01/08?\", \"39 minutes\"], [\"what did I read on 2016/01/08?\", \"a book\"], [\"Did I read on 2016/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/09\": {\"exercise\": {\"eid\": \"e3918\", \"logical_representation\": [\"2016/01/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/01/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3919\", \"logical_representation\": [\"2016/01/09\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3920\", \"logical_representation\": [\"2016/01/09\", \"Nevaeh, Avery, Eva, Claire\", \"in the early afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Avery, Eva, Claire for 18 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Eva, Claire in the early afternoon on 2016/01/09?\", \"18 minutes\"], [\"who did I talk to on 2016/01/09?\", \"Nevaeh, Avery, Eva, Claire\"], [\"Did I talk to Nevaeh, Avery, Eva, Claire on 2016/01/09?\", \"yes\"], [\"Did I talk to anyone on 2016/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/10\": {\"lunch\": {\"eid\": \"e3921\", \"logical_representation\": [\"2016/01/10\", \"lunch\", \"sushi\", \"Piper, Kinsley, Lydia, Eva, Claire, Rylee, Hazel, Avery, Piper, Layla, Nevaeh, Nora, Olivia\"], \"text_template_based\": \"I had lunch with Piper, Kinsley, Lydia, Eva, Claire, Rylee, Hazel, Avery, Piper, Layla, Nevaeh, Nora, Olivia. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/01/10?\", \"Piper, Kinsley, Lydia, Eva, Claire, Rylee, Hazel, Avery, Piper, Layla, Nevaeh, Nora, Olivia\"], [\"what did I eat for lunch on 2016/01/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e3922\", \"logical_representation\": [\"2016/01/10\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/01/10?\", \"25 minutes\"], [\"what did I read on 2016/01/10?\", \"social media\"], [\"Did I read on 2016/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3923\", \"logical_representation\": [\"2016/01/10\", \"a documentary\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/10?\", \"14 minutes\"], [\"what did I watch on tv on 2016/01/10?\", \"a documentary\"], [\"Did I watch tv on 2016/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/11\": {\"chat0\": {\"eid\": \"e3924\", \"logical_representation\": [\"2016/01/11\", \"Piper, Kinsley\", \"during lunch hours\", \"10 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley for 10 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley during lunch hours on 2016/01/11?\", \"10 minutes\"], [\"who did I talk to on 2016/01/11?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2016/01/11?\", \"yes\"], [\"Did I talk to anyone on 2016/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3925\", \"logical_representation\": [\"2016/01/11\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I watched a documentary for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/11?\", \"40 minutes\"], [\"what did I watch on tv on 2016/01/11?\", \"a documentary\"], [\"Did I watch tv on 2016/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/14\": {\"breakfast\": {\"eid\": \"e3929\", \"logical_representation\": [\"2016/01/14\", \"breakfast\", \"cereals\", \"Claire, Layla, Hazel, Avery, Lydia, Rylee, Piper, Olivia\"], \"text_template_based\": \"I had breakfast with Claire, Layla, Hazel, Avery, Lydia, Rylee, Piper, Olivia. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/01/14?\", \"Claire, Layla, Hazel, Avery, Lydia, Rylee, Piper, Olivia\"], [\"what did I eat for breakfast on 2016/01/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3930\", \"logical_representation\": [\"2016/01/14\", \"lunch\", \"sushi\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/01/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3931\", \"logical_representation\": [\"2016/01/14\", \"dinner\", \"a burger\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had a burger for dinner with Benjamin, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/01/14?\", \"Benjamin, Willow, Jackson\"], [\"what did I eat for dinner on 2016/01/14\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2016/01/15\": {\"dinner\": {\"eid\": \"e3932\", \"logical_representation\": [\"2016/01/15\", \"dinner\", \"sandwich\", \"Kinsley, Olivia, Nevaeh, Eva, Layla, Lydia, Rylee, Claire, Hazel, Avery\"], \"text_template_based\": \"I had dinner with Kinsley, Olivia, Nevaeh, Eva, Layla, Lydia, Rylee, Claire, Hazel, Avery. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/01/15?\", \"Kinsley, Olivia, Nevaeh, Eva, Layla, Lydia, Rylee, Claire, Hazel, Avery\"], [\"what did I eat for dinner on 2016/01/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3933\", \"logical_representation\": [\"2016/01/15\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/15?\", \"5 minutes\"], [\"what did I watch on tv on 2016/01/15?\", \"a tv series\"], [\"Did I watch tv on 2016/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/16\": {\"lunch\": {\"eid\": \"e3934\", \"logical_representation\": [\"2016/01/16\", \"lunch\", \"pasta\", \"Emily, Carter\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/01/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3935\", \"logical_representation\": [\"2016/01/16\", \"Kinsley\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I talked to Kinsley for 39 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2016/01/16?\", \"39 minutes\"], [\"who did I talk to on 2016/01/16?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2016/01/16?\", \"yes\"], [\"Did I talk to anyone on 2016/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3936\", \"logical_representation\": [\"2016/01/16\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/01/16?\", \"32 minutes\"], [\"what did I read on 2016/01/16?\", \"a book\"], [\"Did I read on 2016/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3937\", \"logical_representation\": [\"2016/01/16\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/16?\", \"48 minutes\"], [\"what did I watch on tv on 2016/01/16?\", \"a tv series\"], [\"Did I watch tv on 2016/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/17\": {\"watch tv\": {\"eid\": \"e3938\", \"logical_representation\": [\"2016/01/17\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/17?\", \"11 minutes\"], [\"what did I watch on tv on 2016/01/17?\", \"a movie\"], [\"Did I watch tv on 2016/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/18\": {\"breakfast\": {\"eid\": \"e3939\", \"logical_representation\": [\"2016/01/18\", \"breakfast\", \"pancakes\", \"Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3940\", \"logical_representation\": [\"2016/01/18\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/01/18?\", \"14 minutes\"], [\"what did I read on 2016/01/18?\", \"news\"], [\"Did I read on 2016/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/19\": {\"watch tv\": {\"eid\": \"e3941\", \"logical_representation\": [\"2016/01/19\", \"a tv series\", \"11 minutes\"], \"text_template_based\": \"I watched a tv series for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/19?\", \"11 minutes\"], [\"what did I watch on tv on 2016/01/19?\", \"a tv series\"], [\"Did I watch tv on 2016/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/23\": {\"dinner\": {\"eid\": \"e3944\", \"logical_representation\": [\"2016/01/23\", \"dinner\", \"a burger\", \"Hazel, Eva, Layla\"], \"text_template_based\": \"I had a burger for dinner with Hazel, Eva, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/01/23?\", \"Hazel, Eva, Layla\"], [\"what did I eat for dinner on 2016/01/23\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2016/01/24\": {\"social media\": {\"eid\": \"e3945\", \"logical_representation\": [\"2016/01/24\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/01/24?\", \"21 minutes\"], [\"what did I read on 2016/01/24?\", \"social media\"], [\"Did I read on 2016/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/26\": {\"exercise\": {\"eid\": \"e3948\", \"logical_representation\": [\"2016/01/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/01/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3949\", \"logical_representation\": [\"2016/01/26\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/01/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2016/01/29\": {\"exercise\": {\"eid\": \"e3951\", \"logical_representation\": [\"2016/01/29\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/01/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/29?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3952\", \"logical_representation\": [\"2016/01/29\", \"Kinsley, Layla, Lydia, Avery\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Kinsley, Layla, Lydia, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Lydia, Avery in the early afternoon on 2016/01/29?\", \"47 minutes\"], [\"who did I talk to on 2016/01/29?\", \"Kinsley, Layla, Lydia, Avery\"], [\"Did I talk to Kinsley, Layla, Lydia, Avery on 2016/01/29?\", \"yes\"], [\"Did I talk to anyone on 2016/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3953\", \"logical_representation\": [\"2016/01/29\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/01/29?\", \"36 minutes\"], [\"what did I read on 2016/01/29?\", \"news\"], [\"Did I read on 2016/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3954\", \"logical_representation\": [\"2016/01/29\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I watched a tv series for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/01/29?\", \"34 minutes\"], [\"what did I watch on tv on 2016/01/29?\", \"a tv series\"], [\"Did I watch tv on 2016/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/30\": {\"breakfast\": {\"eid\": \"e3955\", \"logical_representation\": [\"2016/01/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Jackson\"], \"text_template_based\": \"I had breakfast with Willow, Jackson. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/01/30?\", \"Willow, Jackson\"], [\"what did I eat for breakfast on 2016/01/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3956\", \"logical_representation\": [\"2016/01/30\", \"lunch\", \"chinese food\", \"Lydia, Layla, Claire, Rylee, Nora\"], \"text_template_based\": \"I had lunch with Lydia, Layla, Claire, Rylee, Nora. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/01/30?\", \"Lydia, Layla, Claire, Rylee, Nora\"], [\"what did I eat for lunch on 2016/01/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3957\", \"logical_representation\": [\"2016/01/30\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/01/30?\", \"51 minutes\"], [\"what did I read on 2016/01/30?\", \"news\"], [\"Did I read on 2016/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/01/31\": {\"exercise\": {\"eid\": \"e3958\", \"logical_representation\": [\"2016/01/31\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/01/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/01/31?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3959\", \"logical_representation\": [\"2016/01/31\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/01/31?\", \"20 minutes\"], [\"what did I read on 2016/01/31?\", \"news\"], [\"Did I read on 2016/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/02\": {\"exercise\": {\"eid\": \"e3961\", \"logical_representation\": [\"2016/02/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/02/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3962\", \"logical_representation\": [\"2016/02/02\", \"lunch\", \"steak\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had steak for lunch with Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/02/02?\", \"Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2016/02/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3963\", \"logical_representation\": [\"2016/02/02\", \"dinner\", \"steak\", \"Piper, Piper, Eva, Claire, Avery\"], \"text_template_based\": \"I had steak for dinner with Piper, Piper, Eva, Claire, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/02/02?\", \"Piper, Piper, Eva, Claire, Avery\"], [\"what did I eat for dinner on 2016/02/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3964\", \"logical_representation\": [\"2016/02/02\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/02?\", \"25 minutes\"], [\"what did I watch on tv on 2016/02/02?\", \"news\"], [\"Did I watch tv on 2016/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/03\": {\"breakfast\": {\"eid\": \"e3965\", \"logical_representation\": [\"2016/02/03\", \"breakfast\", \"oatmeal\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Carter, Kayden, Andrew, Emily. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/02/03?\", \"Carter, Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2016/02/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3966\", \"logical_representation\": [\"2016/02/03\", \"Olivia, Layla, Piper\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Olivia, Layla, Piper for 50 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Piper in the late afternoon on 2016/02/03?\", \"50 minutes\"], [\"who did I talk to on 2016/02/03?\", \"Olivia, Layla, Piper\"], [\"Did I talk to Olivia, Layla, Piper on 2016/02/03?\", \"yes\"], [\"Did I talk to anyone on 2016/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3967\", \"logical_representation\": [\"2016/02/03\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/02/03?\", \"46 minutes\"], [\"what did I read on 2016/02/03?\", \"news\"], [\"Did I read on 2016/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3968\", \"logical_representation\": [\"2016/02/03\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/03?\", \"54 minutes\"], [\"what did I watch on tv on 2016/02/03?\", \"a tv series\"], [\"Did I watch tv on 2016/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/04\": {\"breakfast\": {\"eid\": \"e3969\", \"logical_representation\": [\"2016/02/04\", \"breakfast\", \"pancakes\", \"Andrew, Kayden\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/02/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e3970\", \"logical_representation\": [\"2016/02/04\", \"dinner\", \"sushi\", \"Hazel\"], \"text_template_based\": \"I had sushi for dinner with Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/02/04?\", \"Hazel\"], [\"what did I eat for dinner on 2016/02/04\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e3971\", \"logical_representation\": [\"2016/02/04\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/02/04?\", \"48 minutes\"], [\"what did I read on 2016/02/04?\", \"news\"], [\"Did I read on 2016/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/06\": {\"chat0\": {\"eid\": \"e3972\", \"logical_representation\": [\"2016/02/06\", \"Nora\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2016/02/06?\", \"25 minutes\"], [\"who did I talk to on 2016/02/06?\", \"Nora\"], [\"Did I talk to Nora on 2016/02/06?\", \"yes\"], [\"Did I talk to anyone on 2016/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3973\", \"logical_representation\": [\"2016/02/06\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/06?\", \"14 minutes\"], [\"what did I watch on tv on 2016/02/06?\", \"a movie\"], [\"Did I watch tv on 2016/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/07\": {\"dinner\": {\"eid\": \"e3974\", \"logical_representation\": [\"2016/02/07\", \"dinner\", \"fish and chips\", \"Benjamin\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/02/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2016/02/10\": {\"chat0\": {\"eid\": \"e3976\", \"logical_representation\": [\"2016/02/10\", \"Rylee\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee late in the evening on 2016/02/10?\", \"18 minutes\"], [\"who did I talk to on 2016/02/10?\", \"Rylee\"], [\"Did I talk to Rylee on 2016/02/10?\", \"yes\"], [\"Did I talk to anyone on 2016/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/11\": {\"breakfast\": {\"eid\": \"e3977\", \"logical_representation\": [\"2016/02/11\", \"breakfast\", \"cereals\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had cereals for breakfast with Benjamin, Jackson, Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/02/11?\", \"Benjamin, Jackson, Avery, Willow\"], [\"what did I eat for breakfast on 2016/02/11\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2016/02/13\": {\"lunch\": {\"eid\": \"e3979\", \"logical_representation\": [\"2016/02/13\", \"lunch\", \"steak\", \"Willow, Avery, Jackson\"], \"text_template_based\": \"I had lunch with Willow, Avery, Jackson. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/02/13?\", \"Willow, Avery, Jackson\"], [\"what did I eat for lunch on 2016/02/13\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2016/02/17\": {\"lunch\": {\"eid\": \"e3982\", \"logical_representation\": [\"2016/02/17\", \"lunch\", \"sushi\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/02/17?\", \"Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2016/02/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3983\", \"logical_representation\": [\"2016/02/17\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/17?\", \"46 minutes\"], [\"what did I watch on tv on 2016/02/17?\", \"a documentary\"], [\"Did I watch tv on 2016/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/18\": {\"watch tv\": {\"eid\": \"e3984\", \"logical_representation\": [\"2016/02/18\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/18?\", \"29 minutes\"], [\"what did I watch on tv on 2016/02/18?\", \"news\"], [\"Did I watch tv on 2016/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/19\": {\"exercise\": {\"eid\": \"e3985\", \"logical_representation\": [\"2016/02/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/02/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e3986\", \"logical_representation\": [\"2016/02/19\", \"breakfast\", \"peanut-butter-jam\", \"Willow, Jackson\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/02/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2016/02/20\": {\"dinner\": {\"eid\": \"e3987\", \"logical_representation\": [\"2016/02/20\", \"dinner\", \"sandwich\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/02/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2016/02/21\": {\"exercise\": {\"eid\": \"e3988\", \"logical_representation\": [\"2016/02/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/02/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3989\", \"logical_representation\": [\"2016/02/21\", \"Olivia, Nora\", \"late in the evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Olivia, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora late in the evening on 2016/02/21?\", \"52 minutes\"], [\"who did I talk to on 2016/02/21?\", \"Olivia, Nora\"], [\"Did I talk to Olivia, Nora on 2016/02/21?\", \"yes\"], [\"Did I talk to anyone on 2016/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/23\": {\"breakfast\": {\"eid\": \"e3991\", \"logical_representation\": [\"2016/02/23\", \"breakfast\", \"cereals\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/02/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e3992\", \"logical_representation\": [\"2016/02/23\", \"lunch\", \"tacos\", \"Nora, Lydia, Piper, Eva, Claire, Nevaeh, Hazel, Kinsley, Olivia, Piper\"], \"text_template_based\": \"I had tacos for lunch with Nora, Lydia, Piper, Eva, Claire, Nevaeh, Hazel, Kinsley, Olivia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/02/23?\", \"Nora, Lydia, Piper, Eva, Claire, Nevaeh, Hazel, Kinsley, Olivia, Piper\"], [\"what did I eat for lunch on 2016/02/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3993\", \"logical_representation\": [\"2016/02/23\", \"Lydia, Avery, Eva, Kinsley\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery, Eva, Kinsley for 22 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Eva, Kinsley in the morning on 2016/02/23?\", \"22 minutes\"], [\"who did I talk to on 2016/02/23?\", \"Lydia, Avery, Eva, Kinsley\"], [\"Did I talk to Lydia, Avery, Eva, Kinsley on 2016/02/23?\", \"yes\"], [\"Did I talk to anyone on 2016/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/26\": {\"dinner\": {\"eid\": \"e3996\", \"logical_representation\": [\"2016/02/26\", \"dinner\", \"tacos\", \"Avery, Jackson\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/02/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e3997\", \"logical_representation\": [\"2016/02/26\", \"Layla, Piper\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I talked to Layla, Piper for 41 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper during lunch hours on 2016/02/26?\", \"41 minutes\"], [\"who did I talk to on 2016/02/26?\", \"Layla, Piper\"], [\"Did I talk to Layla, Piper on 2016/02/26?\", \"yes\"], [\"Did I talk to anyone on 2016/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/27\": {\"exercise\": {\"eid\": \"e3998\", \"logical_representation\": [\"2016/02/27\", \"biking\"], \"text_template_based\": \"I did biking on 2016/02/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/02/27?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e3999\", \"logical_representation\": [\"2016/02/27\", \"a documentary\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/27?\", \"6 minutes\"], [\"what did I watch on tv on 2016/02/27?\", \"a documentary\"], [\"Did I watch tv on 2016/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/28\": {\"breakfast\": {\"eid\": \"e4000\", \"logical_representation\": [\"2016/02/28\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/02/28?\", \"Emily\"], [\"what did I eat for breakfast on 2016/02/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4001\", \"logical_representation\": [\"2016/02/28\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/02/28?\", \"45 minutes\"], [\"what did I read on 2016/02/28?\", \"a book\"], [\"Did I read on 2016/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/02/29\": {\"watch tv\": {\"eid\": \"e4002\", \"logical_representation\": [\"2016/02/29\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/02/29?\", \"27 minutes\"], [\"what did I watch on tv on 2016/02/29?\", \"a tv series\"], [\"Did I watch tv on 2016/02/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/03\": {\"breakfast\": {\"eid\": \"e4006\", \"logical_representation\": [\"2016/03/03\", \"breakfast\", \"pancakes\", \"Kinsley, Avery, Layla, Piper, Nevaeh, Claire, Hazel, Rylee, Piper, Lydia\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/03/03\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/04\": {\"exercise\": {\"eid\": \"e4007\", \"logical_representation\": [\"2016/03/04\", \"running\"], \"text_template_based\": \"I did running on 2016/03/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/04?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2016/03/05\": {\"exercise\": {\"eid\": \"e4008\", \"logical_representation\": [\"2016/03/05\", \"running\"], \"text_template_based\": \"I did running on 2016/03/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/05?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4009\", \"logical_representation\": [\"2016/03/05\", \"lunch\", \"indian food\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had indian food for lunch with Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/03/05?\", \"Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2016/03/05\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4010\", \"logical_representation\": [\"2016/03/05\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/05?\", \"35 minutes\"], [\"what did I watch on tv on 2016/03/05?\", \"news\"], [\"Did I watch tv on 2016/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/06\": {\"exercise\": {\"eid\": \"e4011\", \"logical_representation\": [\"2016/03/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/03/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4012\", \"logical_representation\": [\"2016/03/06\", \"lunch\", \"sushi\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Carter, Andrew, Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/03/06?\", \"Emily, Carter, Andrew, Kayden\"], [\"what did I eat for lunch on 2016/03/06\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/03/08\": {\"breakfast\": {\"eid\": \"e4017\", \"logical_representation\": [\"2016/03/08\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Benjamin, Willow, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/03/08?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for breakfast on 2016/03/08\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4018\", \"logical_representation\": [\"2016/03/08\", \"lunch\", \"pasta\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/08\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2016/03/09\": {\"watch tv\": {\"eid\": \"e4019\", \"logical_representation\": [\"2016/03/09\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/09?\", \"34 minutes\"], [\"what did I watch on tv on 2016/03/09?\", \"news\"], [\"Did I watch tv on 2016/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/11\": {\"dinner\": {\"eid\": \"e4020\", \"logical_representation\": [\"2016/03/11\", \"dinner\", \"sandwich\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had sandwich for dinner with Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/03/11?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for dinner on 2016/03/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2016/03/13\": {\"dinner\": {\"eid\": \"e4021\", \"logical_representation\": [\"2016/03/13\", \"dinner\", \"sushi\", \"Jackson\"], \"text_template_based\": \"I had dinner with Jackson. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/03/13?\", \"Jackson\"], [\"what did I eat for dinner on 2016/03/13\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/03/14\": {\"lunch\": {\"eid\": \"e4022\", \"logical_representation\": [\"2016/03/14\", \"lunch\", \"tacos\", \"Willow, Jackson\"], \"text_template_based\": \"I had lunch with Willow, Jackson. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/03/14?\", \"Willow, Jackson\"], [\"what did I eat for lunch on 2016/03/14\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2016/03/15\": {\"dinner\": {\"eid\": \"e4023\", \"logical_representation\": [\"2016/03/15\", \"dinner\", \"tacos\", \"Lydia, Nora, Nevaeh, Rylee, Piper, Kinsley, Avery, Olivia, Layla, Piper, Eva, Claire\"], \"text_template_based\": \"I had tacos for dinner with Lydia, Nora, Nevaeh, Rylee, Piper, Kinsley, Avery, Olivia, Layla, Piper, Eva, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/03/15?\", \"Lydia, Nora, Nevaeh, Rylee, Piper, Kinsley, Avery, Olivia, Layla, Piper, Eva, Claire\"], [\"what did I eat for dinner on 2016/03/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4024\", \"logical_representation\": [\"2016/03/15\", \"Nora, Piper, Eva\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Eva for 17 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Eva in the late afternoon on 2016/03/15?\", \"17 minutes\"], [\"who did I talk to on 2016/03/15?\", \"Nora, Piper, Eva\"], [\"Did I talk to Nora, Piper, Eva on 2016/03/15?\", \"yes\"], [\"Did I talk to anyone on 2016/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4025\", \"logical_representation\": [\"2016/03/15\", \"news\", \"13 minutes\"], \"text_template_based\": \"I watched news for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/15?\", \"13 minutes\"], [\"what did I watch on tv on 2016/03/15?\", \"news\"], [\"Did I watch tv on 2016/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/16\": {\"lunch\": {\"eid\": \"e4026\", \"logical_representation\": [\"2016/03/16\", \"lunch\", \"pasta\", \"Kinsley, Eva, Lydia, Claire, Piper, Nora, Layla, Hazel\"], \"text_template_based\": \"I had lunch with Kinsley, Eva, Lydia, Claire, Piper, Nora, Layla, Hazel. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/03/16?\", \"Kinsley, Eva, Lydia, Claire, Piper, Nora, Layla, Hazel\"], [\"what did I eat for lunch on 2016/03/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4027\", \"logical_representation\": [\"2016/03/16\", \"dinner\", \"a burger\", \"Carter\"], \"text_template_based\": \"I had a burger for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/03/16?\", \"Carter\"], [\"what did I eat for dinner on 2016/03/16\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2016/03/17\": {\"exercise\": {\"eid\": \"e4028\", \"logical_representation\": [\"2016/03/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/03/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4029\", \"logical_representation\": [\"2016/03/17\", \"Eva, Layla\", \"in the late afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Eva, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla in the late afternoon on 2016/03/17?\", \"41 minutes\"], [\"who did I talk to on 2016/03/17?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2016/03/17?\", \"yes\"], [\"Did I talk to anyone on 2016/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/18\": {\"chat0\": {\"eid\": \"e4030\", \"logical_representation\": [\"2016/03/18\", \"Piper\", \"during lunch hours\", \"30 minutes\"], \"text_template_based\": \"I talked to Piper for 30 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2016/03/18?\", \"30 minutes\"], [\"who did I talk to on 2016/03/18?\", \"Piper\"], [\"Did I talk to Piper on 2016/03/18?\", \"yes\"], [\"Did I talk to anyone on 2016/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4031\", \"logical_representation\": [\"2016/03/18\", \"a documentary\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/18?\", \"31 minutes\"], [\"what did I watch on tv on 2016/03/18?\", \"a documentary\"], [\"Did I watch tv on 2016/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/19\": {\"chat0\": {\"eid\": \"e4032\", \"logical_representation\": [\"2016/03/19\", \"Olivia, Nevaeh, Lydia\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Olivia, Nevaeh, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh, Lydia in the early evening on 2016/03/19?\", \"40 minutes\"], [\"who did I talk to on 2016/03/19?\", \"Olivia, Nevaeh, Lydia\"], [\"Did I talk to Olivia, Nevaeh, Lydia on 2016/03/19?\", \"yes\"], [\"Did I talk to anyone on 2016/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/20\": {\"breakfast\": {\"eid\": \"e4033\", \"logical_representation\": [\"2016/03/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/03/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2016/03/22\": {\"dinner\": {\"eid\": \"e4036\", \"logical_representation\": [\"2016/03/22\", \"dinner\", \"a burger\", \"Nevaeh, Hazel, Piper, Layla, Kinsley, Eva\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/03/22\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4037\", \"logical_representation\": [\"2016/03/22\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/03/22?\", \"23 minutes\"], [\"what did I read on 2016/03/22?\", \"a book\"], [\"Did I read on 2016/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4038\", \"logical_representation\": [\"2016/03/22\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/22?\", \"13 minutes\"], [\"what did I watch on tv on 2016/03/22?\", \"a movie\"], [\"Did I watch tv on 2016/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/23\": {\"lunch\": {\"eid\": \"e4039\", \"logical_representation\": [\"2016/03/23\", \"lunch\", \"sandwich\", \"Nevaeh, Olivia, Rylee, Avery, Eva, Claire, Piper, Lydia, Nora\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/03/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4040\", \"logical_representation\": [\"2016/03/23\", \"Nora, Layla, Olivia, Nevaeh\", \"in the early evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Nora, Layla, Olivia, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Layla, Olivia, Nevaeh in the early evening on 2016/03/23?\", \"24 minutes\"], [\"who did I talk to on 2016/03/23?\", \"Nora, Layla, Olivia, Nevaeh\"], [\"Did I talk to Nora, Layla, Olivia, Nevaeh on 2016/03/23?\", \"yes\"], [\"Did I talk to anyone on 2016/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4041\", \"logical_representation\": [\"2016/03/23\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/03/23?\", \"34 minutes\"], [\"what did I read on 2016/03/23?\", \"social media\"], [\"Did I read on 2016/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4042\", \"logical_representation\": [\"2016/03/23\", \"a movie\", \"9 minutes\"], \"text_template_based\": \"I watched a movie for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/23?\", \"9 minutes\"], [\"what did I watch on tv on 2016/03/23?\", \"a movie\"], [\"Did I watch tv on 2016/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/24\": {\"breakfast\": {\"eid\": \"e4043\", \"logical_representation\": [\"2016/03/24\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/03/24?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2016/03/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2016/03/25\": {\"dinner\": {\"eid\": \"e4044\", \"logical_representation\": [\"2016/03/25\", \"dinner\", \"steak\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/03/25\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2016/03/26\": {\"chat0\": {\"eid\": \"e4045\", \"logical_representation\": [\"2016/03/26\", \"Eva\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Eva for 33 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the late afternoon on 2016/03/26?\", \"33 minutes\"], [\"who did I talk to on 2016/03/26?\", \"Eva\"], [\"Did I talk to Eva on 2016/03/26?\", \"yes\"], [\"Did I talk to anyone on 2016/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/27\": {\"chat0\": {\"eid\": \"e4046\", \"logical_representation\": [\"2016/03/27\", \"Nevaeh, Piper, Avery\", \"in the early evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Avery for 21 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Avery in the early evening on 2016/03/27?\", \"21 minutes\"], [\"who did I talk to on 2016/03/27?\", \"Nevaeh, Piper, Avery\"], [\"Did I talk to Nevaeh, Piper, Avery on 2016/03/27?\", \"yes\"], [\"Did I talk to anyone on 2016/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4047\", \"logical_representation\": [\"2016/03/27\", \"a tv series\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/27?\", \"9 minutes\"], [\"what did I watch on tv on 2016/03/27?\", \"a tv series\"], [\"Did I watch tv on 2016/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/28\": {\"chat0\": {\"eid\": \"e4048\", \"logical_representation\": [\"2016/03/28\", \"Hazel\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Hazel for 38 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2016/03/28?\", \"38 minutes\"], [\"who did I talk to on 2016/03/28?\", \"Hazel\"], [\"Did I talk to Hazel on 2016/03/28?\", \"yes\"], [\"Did I talk to anyone on 2016/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4049\", \"logical_representation\": [\"2016/03/28\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/03/28?\", \"18 minutes\"], [\"what did I read on 2016/03/28?\", \"a book\"], [\"Did I read on 2016/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/29\": {\"chat0\": {\"eid\": \"e4050\", \"logical_representation\": [\"2016/03/29\", \"Eva, Layla, Lydia\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I talked to Eva, Layla, Lydia for 41 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Lydia during lunch hours on 2016/03/29?\", \"41 minutes\"], [\"who did I talk to on 2016/03/29?\", \"Eva, Layla, Lydia\"], [\"Did I talk to Eva, Layla, Lydia on 2016/03/29?\", \"yes\"], [\"Did I talk to anyone on 2016/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4051\", \"logical_representation\": [\"2016/03/29\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/03/29?\", \"49 minutes\"], [\"what did I watch on tv on 2016/03/29?\", \"a tv series\"], [\"Did I watch tv on 2016/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/03/31\": {\"exercise\": {\"eid\": \"e4055\", \"logical_representation\": [\"2016/03/31\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/03/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/03/31?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4056\", \"logical_representation\": [\"2016/03/31\", \"dinner\", \"steak\", \"Willow\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/03/31\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2016/04/01\": {\"exercise\": {\"eid\": \"e4057\", \"logical_representation\": [\"2016/04/01\", \"running\"], \"text_template_based\": \"I did running on 2016/04/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4058\", \"logical_representation\": [\"2016/04/01\", \"breakfast\", \"cereals\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Emily, Carter. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/04/01?\", \"Kayden, Emily, Carter\"], [\"what did I eat for breakfast on 2016/04/01\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2016/04/02\": {\"read\": {\"eid\": \"e4059\", \"logical_representation\": [\"2016/04/02\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/04/02?\", \"36 minutes\"], [\"what did I read on 2016/04/02?\", \"news\"], [\"Did I read on 2016/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/03\": {\"read\": {\"eid\": \"e4060\", \"logical_representation\": [\"2016/04/03\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/04/03?\", \"22 minutes\"], [\"what did I read on 2016/04/03?\", \"news\"], [\"Did I read on 2016/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/04\": {\"exercise\": {\"eid\": \"e4061\", \"logical_representation\": [\"2016/04/04\", \"biking\"], \"text_template_based\": \"I did biking on 2016/04/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4062\", \"logical_representation\": [\"2016/04/04\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/04?\", \"35 minutes\"], [\"what did I watch on tv on 2016/04/04?\", \"a documentary\"], [\"Did I watch tv on 2016/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/05\": {\"exercise\": {\"eid\": \"e4063\", \"logical_representation\": [\"2016/04/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4064\", \"logical_representation\": [\"2016/04/05\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/04/05?\", \"45 minutes\"], [\"what did I read on 2016/04/05?\", \"a book\"], [\"Did I read on 2016/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/07\": {\"chat0\": {\"eid\": \"e4066\", \"logical_representation\": [\"2016/04/07\", \"Eva, Kinsley\", \"in the early afternoon\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Eva, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley in the early afternoon on 2016/04/07?\", \"43 minutes\"], [\"who did I talk to on 2016/04/07?\", \"Eva, Kinsley\"], [\"Did I talk to Eva, Kinsley on 2016/04/07?\", \"yes\"], [\"Did I talk to anyone on 2016/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/08\": {\"chat0\": {\"eid\": \"e4067\", \"logical_representation\": [\"2016/04/08\", \"Eva, Layla, Piper, Kinsley\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Eva, Layla, Piper, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Piper, Kinsley in the morning on 2016/04/08?\", \"54 minutes\"], [\"who did I talk to on 2016/04/08?\", \"Eva, Layla, Piper, Kinsley\"], [\"Did I talk to Eva, Layla, Piper, Kinsley on 2016/04/08?\", \"yes\"], [\"Did I talk to anyone on 2016/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/11\": {\"read\": {\"eid\": \"e4071\", \"logical_representation\": [\"2016/04/11\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/04/11?\", \"39 minutes\"], [\"what did I read on 2016/04/11?\", \"a book\"], [\"Did I read on 2016/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/12\": {\"breakfast\": {\"eid\": \"e4072\", \"logical_representation\": [\"2016/04/12\", \"breakfast\", \"pancakes\", \"Eva, Olivia, Nevaeh, Lydia, Kinsley, Piper, Claire, Rylee\"], \"text_template_based\": \"I had breakfast with Eva, Olivia, Nevaeh, Lydia, Kinsley, Piper, Claire, Rylee. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/04/12?\", \"Eva, Olivia, Nevaeh, Lydia, Kinsley, Piper, Claire, Rylee\"], [\"what did I eat for breakfast on 2016/04/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4073\", \"logical_representation\": [\"2016/04/12\", \"dinner\", \"sushi\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4074\", \"logical_representation\": [\"2016/04/12\", \"Hazel\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early afternoon on 2016/04/12?\", \"20 minutes\"], [\"who did I talk to on 2016/04/12?\", \"Hazel\"], [\"Did I talk to Hazel on 2016/04/12?\", \"yes\"], [\"Did I talk to anyone on 2016/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/14\": {\"watch tv\": {\"eid\": \"e4075\", \"logical_representation\": [\"2016/04/14\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/14?\", \"19 minutes\"], [\"what did I watch on tv on 2016/04/14?\", \"news\"], [\"Did I watch tv on 2016/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/15\": {\"breakfast\": {\"eid\": \"e4076\", \"logical_representation\": [\"2016/04/15\", \"breakfast\", \"toast and cheese\", \"Piper, Olivia\"], \"text_template_based\": \"I had toast and cheese for breakfast with Piper, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/04/15?\", \"Piper, Olivia\"], [\"what did I eat for breakfast on 2016/04/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2016/04/16\": {\"dinner\": {\"eid\": \"e4077\", \"logical_representation\": [\"2016/04/16\", \"dinner\", \"fish and chips\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4078\", \"logical_representation\": [\"2016/04/16\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/16?\", \"32 minutes\"], [\"what did I watch on tv on 2016/04/16?\", \"a tv series\"], [\"Did I watch tv on 2016/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/17\": {\"lunch\": {\"eid\": \"e4079\", \"logical_representation\": [\"2016/04/17\", \"lunch\", \"a burger\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had a burger for lunch with Avery, Willow, Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/04/17?\", \"Avery, Willow, Benjamin, Jackson\"], [\"what did I eat for lunch on 2016/04/17\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2016/04/18\": {\"exercise\": {\"eid\": \"e4080\", \"logical_representation\": [\"2016/04/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/04/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4081\", \"logical_representation\": [\"2016/04/18\", \"lunch\", \"a burger\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had lunch with Jackson, Benjamin. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/04/18?\", \"Jackson, Benjamin\"], [\"what did I eat for lunch on 2016/04/18\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2016/04/19\": {\"exercise\": {\"eid\": \"e4082\", \"logical_representation\": [\"2016/04/19\", \"biking\"], \"text_template_based\": \"I did biking on 2016/04/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/19?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2016/04/20\": {\"exercise\": {\"eid\": \"e4083\", \"logical_representation\": [\"2016/04/20\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/04/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/04/20?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4084\", \"logical_representation\": [\"2016/04/20\", \"Piper\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2016/04/20?\", \"46 minutes\"], [\"who did I talk to on 2016/04/20?\", \"Piper\"], [\"Did I talk to Piper on 2016/04/20?\", \"yes\"], [\"Did I talk to anyone on 2016/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4085\", \"logical_representation\": [\"2016/04/20\", \"a documentary\", \"14 minutes\"], \"text_template_based\": \"I watched a documentary for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/04/20?\", \"14 minutes\"], [\"what did I watch on tv on 2016/04/20?\", \"a documentary\"], [\"Did I watch tv on 2016/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/21\": {\"chat0\": {\"eid\": \"e4086\", \"logical_representation\": [\"2016/04/21\", \"Kinsley, Hazel, Olivia\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Kinsley, Hazel, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Olivia in the late afternoon on 2016/04/21?\", \"14 minutes\"], [\"who did I talk to on 2016/04/21?\", \"Kinsley, Hazel, Olivia\"], [\"Did I talk to Kinsley, Hazel, Olivia on 2016/04/21?\", \"yes\"], [\"Did I talk to anyone on 2016/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/23\": {\"breakfast\": {\"eid\": \"e4087\", \"logical_representation\": [\"2016/04/23\", \"breakfast\", \"peanut-butter-jam\", \"Avery\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/04/23\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4088\", \"logical_representation\": [\"2016/04/23\", \"dinner\", \"steak\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/23\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2016/04/24\": {\"chat0\": {\"eid\": \"e4089\", \"logical_representation\": [\"2016/04/24\", \"Olivia, Rylee, Eva\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I talked to Olivia, Rylee, Eva for 21 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee, Eva in the early afternoon on 2016/04/24?\", \"21 minutes\"], [\"who did I talk to on 2016/04/24?\", \"Olivia, Rylee, Eva\"], [\"Did I talk to Olivia, Rylee, Eva on 2016/04/24?\", \"yes\"], [\"Did I talk to anyone on 2016/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/26\": {\"dinner\": {\"eid\": \"e4092\", \"logical_representation\": [\"2016/04/26\", \"dinner\", \"sushi\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/04/26\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/04/29\": {\"lunch\": {\"eid\": \"e4097\", \"logical_representation\": [\"2016/04/29\", \"lunch\", \"chinese food\", \"Rylee, Piper, Lydia, Layla, Piper, Olivia, Claire, Avery, Nevaeh, Eva, Kinsley\"], \"text_template_based\": \"I had lunch with Rylee, Piper, Lydia, Layla, Piper, Olivia, Claire, Avery, Nevaeh, Eva, Kinsley. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/04/29?\", \"Rylee, Piper, Lydia, Layla, Piper, Olivia, Claire, Avery, Nevaeh, Eva, Kinsley\"], [\"what did I eat for lunch on 2016/04/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4098\", \"logical_representation\": [\"2016/04/29\", \"Rylee\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2016/04/29?\", \"20 minutes\"], [\"who did I talk to on 2016/04/29?\", \"Rylee\"], [\"Did I talk to Rylee on 2016/04/29?\", \"yes\"], [\"Did I talk to anyone on 2016/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4099\", \"logical_representation\": [\"2016/04/29\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/04/29?\", \"39 minutes\"], [\"what did I read on 2016/04/29?\", \"news\"], [\"Did I read on 2016/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/04/30\": {\"chat0\": {\"eid\": \"e4100\", \"logical_representation\": [\"2016/04/30\", \"Avery, Lydia, Piper, Kinsley\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Avery, Lydia, Piper, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Piper, Kinsley during lunch hours on 2016/04/30?\", \"25 minutes\"], [\"who did I talk to on 2016/04/30?\", \"Avery, Lydia, Piper, Kinsley\"], [\"Did I talk to Avery, Lydia, Piper, Kinsley on 2016/04/30?\", \"yes\"], [\"Did I talk to anyone on 2016/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/02\": {\"watch tv\": {\"eid\": \"e4101\", \"logical_representation\": [\"2016/05/02\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I watched a tv series for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/02?\", \"13 minutes\"], [\"what did I watch on tv on 2016/05/02?\", \"a tv series\"], [\"Did I watch tv on 2016/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/03\": {\"exercise\": {\"eid\": \"e4102\", \"logical_representation\": [\"2016/05/03\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/05/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/03?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2016/05/04\": {\"social media\": {\"eid\": \"e4103\", \"logical_representation\": [\"2016/05/04\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/05/04?\", \"35 minutes\"], [\"what did I read on 2016/05/04?\", \"social media\"], [\"Did I read on 2016/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/19\": {\"dinner\": {\"eid\": \"e4123\", \"logical_representation\": [\"2016/05/19\", \"dinner\", \"indian food\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Carter, Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/05/19?\", \"Andrew, Carter, Emily\"], [\"what did I eat for dinner on 2016/05/19\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4124\", \"logical_representation\": [\"2016/05/19\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/19?\", \"55 minutes\"], [\"what did I watch on tv on 2016/05/19?\", \"a tv series\"], [\"Did I watch tv on 2016/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/22\": {\"exercise\": {\"eid\": \"e4128\", \"logical_representation\": [\"2016/05/22\", \"biking\"], \"text_template_based\": \"I did biking on 2016/05/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/05/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4129\", \"logical_representation\": [\"2016/05/22\", \"dinner\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had steak for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/05/22?\", \"Kayden\"], [\"what did I eat for dinner on 2016/05/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4130\", \"logical_representation\": [\"2016/05/22\", \"Kinsley\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2016/05/22?\", \"21 minutes\"], [\"who did I talk to on 2016/05/22?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2016/05/22?\", \"yes\"], [\"Did I talk to anyone on 2016/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/24\": {\"breakfast\": {\"eid\": \"e4131\", \"logical_representation\": [\"2016/05/24\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2016/05/26\": {\"dinner\": {\"eid\": \"e4133\", \"logical_representation\": [\"2016/05/26\", \"dinner\", \"steak\", \"Olivia, Rylee, Kinsley, Hazel, Lydia, Nora, Nevaeh\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/26\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2016/05/27\": {\"breakfast\": {\"eid\": \"e4134\", \"logical_representation\": [\"2016/05/27\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/05/27\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4135\", \"logical_representation\": [\"2016/05/27\", \"dinner\", \"fish and chips\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/05/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4136\", \"logical_representation\": [\"2016/05/27\", \"news\", \"5 minutes\"], \"text_template_based\": \"I watched news for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/05/27?\", \"5 minutes\"], [\"what did I watch on tv on 2016/05/27?\", \"news\"], [\"Did I watch tv on 2016/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/05/29\": {\"dinner\": {\"eid\": \"e4137\", \"logical_representation\": [\"2016/05/29\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/05/29?\", \"Kayden\"], [\"what did I eat for dinner on 2016/05/29\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2016/05/31\": {\"lunch\": {\"eid\": \"e4140\", \"logical_representation\": [\"2016/05/31\", \"lunch\", \"fish and chips\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Andrew, Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/05/31?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for lunch on 2016/05/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2016/06/01\": {\"lunch\": {\"eid\": \"e4141\", \"logical_representation\": [\"2016/06/01\", \"lunch\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2016/06/03\": {\"chat0\": {\"eid\": \"e4143\", \"logical_representation\": [\"2016/06/03\", \"Nora, Kinsley, Hazel, Rylee\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I talked to Nora, Kinsley, Hazel, Rylee for 55 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Hazel, Rylee in the morning on 2016/06/03?\", \"55 minutes\"], [\"who did I talk to on 2016/06/03?\", \"Nora, Kinsley, Hazel, Rylee\"], [\"Did I talk to Nora, Kinsley, Hazel, Rylee on 2016/06/03?\", \"yes\"], [\"Did I talk to anyone on 2016/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/04\": {\"chat0\": {\"eid\": \"e4144\", \"logical_representation\": [\"2016/06/04\", \"Piper, Eva\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Piper, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva late in the evening on 2016/06/04?\", \"5 minutes\"], [\"who did I talk to on 2016/06/04?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2016/06/04?\", \"yes\"], [\"Did I talk to anyone on 2016/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4145\", \"logical_representation\": [\"2016/06/04\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/06/04?\", \"44 minutes\"], [\"what did I read on 2016/06/04?\", \"social media\"], [\"Did I read on 2016/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/05\": {\"exercise\": {\"eid\": \"e4146\", \"logical_representation\": [\"2016/06/05\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/06/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/05?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4147\", \"logical_representation\": [\"2016/06/05\", \"lunch\", \"steak\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/05\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2016/06/06\": {\"breakfast\": {\"eid\": \"e4148\", \"logical_representation\": [\"2016/06/06\", \"breakfast\", \"pancakes\", \"Layla, Avery, Olivia\"], \"text_template_based\": \"I had pancakes for breakfast with Layla, Avery, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/06/06?\", \"Layla, Avery, Olivia\"], [\"what did I eat for breakfast on 2016/06/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4149\", \"logical_representation\": [\"2016/06/06\", \"dinner\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had sandwich for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/06/06?\", \"Emily\"], [\"what did I eat for dinner on 2016/06/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4150\", \"logical_representation\": [\"2016/06/06\", \"Kinsley, Claire, Piper, Nevaeh\", \"in the early evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire, Piper, Nevaeh for 13 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Piper, Nevaeh in the early evening on 2016/06/06?\", \"13 minutes\"], [\"who did I talk to on 2016/06/06?\", \"Kinsley, Claire, Piper, Nevaeh\"], [\"Did I talk to Kinsley, Claire, Piper, Nevaeh on 2016/06/06?\", \"yes\"], [\"Did I talk to anyone on 2016/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/07\": {\"read\": {\"eid\": \"e4151\", \"logical_representation\": [\"2016/06/07\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/06/07?\", \"7 minutes\"], [\"what did I read on 2016/06/07?\", \"a book\"], [\"Did I read on 2016/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/08\": {\"exercise\": {\"eid\": \"e4152\", \"logical_representation\": [\"2016/06/08\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/06/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/08?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4153\", \"logical_representation\": [\"2016/06/08\", \"dinner\", \"tacos\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/06/08\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2016/06/10\": {\"chat0\": {\"eid\": \"e4154\", \"logical_representation\": [\"2016/06/10\", \"Layla, Piper, Lydia, Nevaeh\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Lydia, Nevaeh for 23 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Lydia, Nevaeh in the early evening on 2016/06/10?\", \"23 minutes\"], [\"who did I talk to on 2016/06/10?\", \"Layla, Piper, Lydia, Nevaeh\"], [\"Did I talk to Layla, Piper, Lydia, Nevaeh on 2016/06/10?\", \"yes\"], [\"Did I talk to anyone on 2016/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/11\": {\"chat0\": {\"eid\": \"e4155\", \"logical_representation\": [\"2016/06/11\", \"Nevaeh\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 35 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2016/06/11?\", \"35 minutes\"], [\"who did I talk to on 2016/06/11?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2016/06/11?\", \"yes\"], [\"Did I talk to anyone on 2016/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/12\": {\"watch tv\": {\"eid\": \"e4156\", \"logical_representation\": [\"2016/06/12\", \"a movie\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/12?\", \"47 minutes\"], [\"what did I watch on tv on 2016/06/12?\", \"a movie\"], [\"Did I watch tv on 2016/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/13\": {\"exercise\": {\"eid\": \"e4157\", \"logical_representation\": [\"2016/06/13\", \"running\"], \"text_template_based\": \"I did running on 2016/06/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/13?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4158\", \"logical_representation\": [\"2016/06/13\", \"Layla, Avery\", \"in the early afternoon\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Layla, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery in the early afternoon on 2016/06/13?\", \"14 minutes\"], [\"who did I talk to on 2016/06/13?\", \"Layla, Avery\"], [\"Did I talk to Layla, Avery on 2016/06/13?\", \"yes\"], [\"Did I talk to anyone on 2016/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/14\": {\"exercise\": {\"eid\": \"e4159\", \"logical_representation\": [\"2016/06/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/06/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4160\", \"logical_representation\": [\"2016/06/14\", \"breakfast\", \"pancakes\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/06/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/16\": {\"exercise\": {\"eid\": \"e4161\", \"logical_representation\": [\"2016/06/16\", \"biking\"], \"text_template_based\": \"I did biking on 2016/06/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4162\", \"logical_representation\": [\"2016/06/16\", \"Claire\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the morning on 2016/06/16?\", \"33 minutes\"], [\"who did I talk to on 2016/06/16?\", \"Claire\"], [\"Did I talk to Claire on 2016/06/16?\", \"yes\"], [\"Did I talk to anyone on 2016/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/17\": {\"lunch\": {\"eid\": \"e4163\", \"logical_representation\": [\"2016/06/17\", \"lunch\", \"sushi\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch with Carter, Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/06/17?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2016/06/17\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4164\", \"logical_representation\": [\"2016/06/17\", \"dinner\", \"pasta\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/06/17\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2016/06/18\": {\"lunch\": {\"eid\": \"e4165\", \"logical_representation\": [\"2016/06/18\", \"lunch\", \"pasta\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4166\", \"logical_representation\": [\"2016/06/18\", \"dinner\", \"a burger\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Kayden. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/06/18?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2016/06/18\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2016/06/25\": {\"exercise\": {\"eid\": \"e4168\", \"logical_representation\": [\"2016/06/25\", \"running\"], \"text_template_based\": \"I did running on 2016/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/06/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4169\", \"logical_representation\": [\"2016/06/25\", \"dinner\", \"indian food\", \"Nevaeh, Hazel\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/06/25\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2016/06/26\": {\"dinner\": {\"eid\": \"e4170\", \"logical_representation\": [\"2016/06/26\", \"dinner\", \"a burger\", \"Hazel, Nevaeh, Piper, Layla\"], \"text_template_based\": \"I had dinner with Hazel, Nevaeh, Piper, Layla. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/06/26?\", \"Hazel, Nevaeh, Piper, Layla\"], [\"what did I eat for dinner on 2016/06/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4171\", \"logical_representation\": [\"2016/06/26\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/26?\", \"18 minutes\"], [\"what did I watch on tv on 2016/06/26?\", \"a tv series\"], [\"Did I watch tv on 2016/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/27\": {\"watch tv\": {\"eid\": \"e4172\", \"logical_representation\": [\"2016/06/27\", \"a documentary\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/27?\", \"21 minutes\"], [\"what did I watch on tv on 2016/06/27?\", \"a documentary\"], [\"Did I watch tv on 2016/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/06/29\": {\"lunch\": {\"eid\": \"e4174\", \"logical_representation\": [\"2016/06/29\", \"lunch\", \"steak\", \"Claire, Olivia, Nevaeh, Rylee, Eva\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/06/29\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2016/06/30\": {\"watch tv\": {\"eid\": \"e4175\", \"logical_representation\": [\"2016/06/30\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/06/30?\", \"43 minutes\"], [\"what did I watch on tv on 2016/06/30?\", \"a tv series\"], [\"Did I watch tv on 2016/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/01\": {\"dinner\": {\"eid\": \"e4176\", \"logical_representation\": [\"2016/07/01\", \"dinner\", \"fish and chips\", \"Eva, Kinsley, Nevaeh, Rylee, Olivia, Lydia, Avery, Piper\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/07/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2016/07/02\": {\"dinner\": {\"eid\": \"e4177\", \"logical_representation\": [\"2016/07/02\", \"dinner\", \"fish and chips\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had dinner with Jackson, Benjamin. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/02?\", \"Jackson, Benjamin\"], [\"what did I eat for dinner on 2016/07/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4178\", \"logical_representation\": [\"2016/07/02\", \"Nevaeh\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 46 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2016/07/02?\", \"46 minutes\"], [\"who did I talk to on 2016/07/02?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2016/07/02?\", \"yes\"], [\"Did I talk to anyone on 2016/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/03\": {\"breakfast\": {\"eid\": \"e4179\", \"logical_representation\": [\"2016/07/03\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2016/07/04\": {\"dinner\": {\"eid\": \"e4180\", \"logical_representation\": [\"2016/07/04\", \"dinner\", \"steak\", \"Lydia, Layla, Avery, Nora, Olivia, Piper, Claire, Hazel\"], \"text_template_based\": \"I had dinner with Lydia, Layla, Avery, Nora, Olivia, Piper, Claire, Hazel. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/04?\", \"Lydia, Layla, Avery, Nora, Olivia, Piper, Claire, Hazel\"], [\"what did I eat for dinner on 2016/07/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4181\", \"logical_representation\": [\"2016/07/04\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/04?\", \"14 minutes\"], [\"what did I watch on tv on 2016/07/04?\", \"a movie\"], [\"Did I watch tv on 2016/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/06\": {\"read\": {\"eid\": \"e4183\", \"logical_representation\": [\"2016/07/06\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/07/06?\", \"39 minutes\"], [\"what did I read on 2016/07/06?\", \"a book\"], [\"Did I read on 2016/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/07\": {\"read\": {\"eid\": \"e4184\", \"logical_representation\": [\"2016/07/07\", \"a book\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/07/07?\", \"40 minutes\"], [\"what did I read on 2016/07/07?\", \"a book\"], [\"Did I read on 2016/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/08\": {\"dinner\": {\"eid\": \"e4185\", \"logical_representation\": [\"2016/07/08\", \"dinner\", \"sushi\", \"Nevaeh\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/07/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4186\", \"logical_representation\": [\"2016/07/08\", \"Hazel, Piper, Kinsley, Eva\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Kinsley, Eva for 48 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Kinsley, Eva in the morning on 2016/07/08?\", \"48 minutes\"], [\"who did I talk to on 2016/07/08?\", \"Hazel, Piper, Kinsley, Eva\"], [\"Did I talk to Hazel, Piper, Kinsley, Eva on 2016/07/08?\", \"yes\"], [\"Did I talk to anyone on 2016/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/10\": {\"exercise\": {\"eid\": \"e4188\", \"logical_representation\": [\"2016/07/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2016/07/11\": {\"watch tv\": {\"eid\": \"e4189\", \"logical_representation\": [\"2016/07/11\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/11?\", \"51 minutes\"], [\"what did I watch on tv on 2016/07/11?\", \"a documentary\"], [\"Did I watch tv on 2016/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/12\": {\"dinner\": {\"eid\": \"e4190\", \"logical_representation\": [\"2016/07/12\", \"dinner\", \"sushi\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/07/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4191\", \"logical_representation\": [\"2016/07/12\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I watched a movie for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/12?\", \"7 minutes\"], [\"what did I watch on tv on 2016/07/12?\", \"a movie\"], [\"Did I watch tv on 2016/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/14\": {\"breakfast\": {\"eid\": \"e4192\", \"logical_representation\": [\"2016/07/14\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Benjamin\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4193\", \"logical_representation\": [\"2016/07/14\", \"Eva\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva late in the evening on 2016/07/14?\", \"55 minutes\"], [\"who did I talk to on 2016/07/14?\", \"Eva\"], [\"Did I talk to Eva on 2016/07/14?\", \"yes\"], [\"Did I talk to anyone on 2016/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/16\": {\"dinner\": {\"eid\": \"e4194\", \"logical_representation\": [\"2016/07/16\", \"dinner\", \"indian food\", \"Andrew, Kayden\"], \"text_template_based\": \"I had indian food for dinner with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/16?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2016/07/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4195\", \"logical_representation\": [\"2016/07/16\", \"Lydia, Nora, Rylee\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Lydia, Nora, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Rylee in the early afternoon on 2016/07/16?\", \"34 minutes\"], [\"who did I talk to on 2016/07/16?\", \"Lydia, Nora, Rylee\"], [\"Did I talk to Lydia, Nora, Rylee on 2016/07/16?\", \"yes\"], [\"Did I talk to anyone on 2016/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/19\": {\"exercise\": {\"eid\": \"e4198\", \"logical_representation\": [\"2016/07/19\", \"running\"], \"text_template_based\": \"I did running on 2016/07/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4199\", \"logical_representation\": [\"2016/07/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Benjamin\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2016/07/20\": {\"exercise\": {\"eid\": \"e4200\", \"logical_representation\": [\"2016/07/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/07/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4201\", \"logical_representation\": [\"2016/07/20\", \"lunch\", \"tacos\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had tacos for lunch with Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/07/20?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for lunch on 2016/07/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4202\", \"logical_representation\": [\"2016/07/20\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/07/20?\", \"30 minutes\"], [\"what did I read on 2016/07/20?\", \"a book\"], [\"Did I read on 2016/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/22\": {\"read\": {\"eid\": \"e4203\", \"logical_representation\": [\"2016/07/22\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/07/22?\", \"53 minutes\"], [\"what did I read on 2016/07/22?\", \"a book\"], [\"Did I read on 2016/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/23\": {\"lunch\": {\"eid\": \"e4204\", \"logical_representation\": [\"2016/07/23\", \"lunch\", \"pasta\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Kayden, Carter. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/07/23?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2016/07/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4205\", \"logical_representation\": [\"2016/07/23\", \"dinner\", \"chinese food\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/07/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2016/07/24\": {\"chat0\": {\"eid\": \"e4206\", \"logical_representation\": [\"2016/07/24\", \"Nora\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Nora for 45 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2016/07/24?\", \"45 minutes\"], [\"who did I talk to on 2016/07/24?\", \"Nora\"], [\"Did I talk to Nora on 2016/07/24?\", \"yes\"], [\"Did I talk to anyone on 2016/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/25\": {\"exercise\": {\"eid\": \"e4207\", \"logical_representation\": [\"2016/07/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/07/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4208\", \"logical_representation\": [\"2016/07/25\", \"Avery\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Avery for 45 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2016/07/25?\", \"45 minutes\"], [\"who did I talk to on 2016/07/25?\", \"Avery\"], [\"Did I talk to Avery on 2016/07/25?\", \"yes\"], [\"Did I talk to anyone on 2016/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4209\", \"logical_representation\": [\"2016/07/25\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/25?\", \"23 minutes\"], [\"what did I watch on tv on 2016/07/25?\", \"news\"], [\"Did I watch tv on 2016/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/26\": {\"breakfast\": {\"eid\": \"e4210\", \"logical_representation\": [\"2016/07/26\", \"breakfast\", \"pancakes\", \"Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/26\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4211\", \"logical_representation\": [\"2016/07/26\", \"lunch\", \"tacos\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/07/26?\", \"Carter, Kayden\"], [\"what did I eat for lunch on 2016/07/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4212\", \"logical_representation\": [\"2016/07/26\", \"dinner\", \"fish and chips\", \"Layla, Olivia, Kinsley, Lydia, Rylee\"], \"text_template_based\": \"I had fish and chips for dinner with Layla, Olivia, Kinsley, Lydia, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/26?\", \"Layla, Olivia, Kinsley, Lydia, Rylee\"], [\"what did I eat for dinner on 2016/07/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2016/07/27\": {\"lunch\": {\"eid\": \"e4213\", \"logical_representation\": [\"2016/07/27\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/07/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4214\", \"logical_representation\": [\"2016/07/27\", \"Eva, Layla, Lydia, Olivia\", \"late in the evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Eva, Layla, Lydia, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Lydia, Olivia late in the evening on 2016/07/27?\", \"20 minutes\"], [\"who did I talk to on 2016/07/27?\", \"Eva, Layla, Lydia, Olivia\"], [\"Did I talk to Eva, Layla, Lydia, Olivia on 2016/07/27?\", \"yes\"], [\"Did I talk to anyone on 2016/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/28\": {\"lunch\": {\"eid\": \"e4215\", \"logical_representation\": [\"2016/07/28\", \"lunch\", \"sandwich\", \"Hazel, Avery, Rylee, Piper, Lydia, Layla, Eva, Nora, Piper, Kinsley, Olivia\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/07/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2016/07/29\": {\"breakfast\": {\"eid\": \"e4216\", \"logical_representation\": [\"2016/07/29\", \"breakfast\", \"cereals\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4217\", \"logical_representation\": [\"2016/07/29\", \"lunch\", \"pasta\", \"Rylee, Eva, Hazel, Nora, Claire, Olivia, Nevaeh, Avery, Kinsley, Piper\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/07/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4218\", \"logical_representation\": [\"2016/07/29\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/07/29?\", \"20 minutes\"], [\"what did I read on 2016/07/29?\", \"news\"], [\"Did I read on 2016/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4219\", \"logical_representation\": [\"2016/07/29\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/29?\", \"30 minutes\"], [\"what did I watch on tv on 2016/07/29?\", \"news\"], [\"Did I watch tv on 2016/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/07/30\": {\"exercise\": {\"eid\": \"e4220\", \"logical_representation\": [\"2016/07/30\", \"running\"], \"text_template_based\": \"I did running on 2016/07/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/07/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4221\", \"logical_representation\": [\"2016/07/30\", \"breakfast\", \"pancakes\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/07/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4222\", \"logical_representation\": [\"2016/07/30\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had a burger for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/07/30?\", \"Emily\"], [\"what did I eat for lunch on 2016/07/30\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4223\", \"logical_representation\": [\"2016/07/30\", \"dinner\", \"tacos\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Carter, Andrew, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/30?\", \"Emily, Carter, Andrew, Kayden\"], [\"what did I eat for dinner on 2016/07/30\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2016/07/31\": {\"dinner\": {\"eid\": \"e4224\", \"logical_representation\": [\"2016/07/31\", \"dinner\", \"tacos\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had tacos for dinner with Willow, Avery, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/07/31?\", \"Willow, Avery, Jackson, Benjamin\"], [\"what did I eat for dinner on 2016/07/31\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4225\", \"logical_representation\": [\"2016/07/31\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/07/31?\", \"36 minutes\"], [\"what did I watch on tv on 2016/07/31?\", \"a documentary\"], [\"Did I watch tv on 2016/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/03\": {\"lunch\": {\"eid\": \"e4230\", \"logical_representation\": [\"2016/08/03\", \"lunch\", \"indian food\", \"Kayden, Emily\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4231\", \"logical_representation\": [\"2016/08/03\", \"a movie\", \"51 minutes\"], \"text_template_based\": \"I watched a movie for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/03?\", \"51 minutes\"], [\"what did I watch on tv on 2016/08/03?\", \"a movie\"], [\"Did I watch tv on 2016/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/04\": {\"lunch\": {\"eid\": \"e4232\", \"logical_representation\": [\"2016/08/04\", \"lunch\", \"steak\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4233\", \"logical_representation\": [\"2016/08/04\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I watched a movie for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/04?\", \"21 minutes\"], [\"what did I watch on tv on 2016/08/04?\", \"a movie\"], [\"Did I watch tv on 2016/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/05\": {\"lunch\": {\"eid\": \"e4234\", \"logical_representation\": [\"2016/08/05\", \"lunch\", \"chinese food\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had chinese food for lunch with Carter, Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/08/05?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2016/08/05\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4235\", \"logical_representation\": [\"2016/08/05\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/08/05?\", \"25 minutes\"], [\"what did I read on 2016/08/05?\", \"a book\"], [\"Did I read on 2016/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/08\": {\"chat0\": {\"eid\": \"e4238\", \"logical_representation\": [\"2016/08/08\", \"Eva, Hazel, Rylee\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Eva, Hazel, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Rylee late in the evening on 2016/08/08?\", \"41 minutes\"], [\"who did I talk to on 2016/08/08?\", \"Eva, Hazel, Rylee\"], [\"Did I talk to Eva, Hazel, Rylee on 2016/08/08?\", \"yes\"], [\"Did I talk to anyone on 2016/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/10\": {\"dinner\": {\"eid\": \"e4239\", \"logical_representation\": [\"2016/08/10\", \"dinner\", \"sushi\", \"Piper, Claire, Nora\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/08/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4240\", \"logical_representation\": [\"2016/08/10\", \"Piper, Olivia\", \"late in the evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Piper, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia late in the evening on 2016/08/10?\", \"38 minutes\"], [\"who did I talk to on 2016/08/10?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2016/08/10?\", \"yes\"], [\"Did I talk to anyone on 2016/08/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/12\": {\"lunch\": {\"eid\": \"e4241\", \"logical_representation\": [\"2016/08/12\", \"lunch\", \"chinese food\", \"Willow, Jackson\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4242\", \"logical_representation\": [\"2016/08/12\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/08/12?\", \"26 minutes\"], [\"what did I read on 2016/08/12?\", \"a book\"], [\"Did I read on 2016/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/13\": {\"exercise\": {\"eid\": \"e4243\", \"logical_representation\": [\"2016/08/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/08/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4244\", \"logical_representation\": [\"2016/08/13\", \"breakfast\", \"oatmeal\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Emily. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/08/13?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2016/08/13\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4245\", \"logical_representation\": [\"2016/08/13\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/08/13?\", \"45 minutes\"], [\"what did I read on 2016/08/13?\", \"a book\"], [\"Did I read on 2016/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/15\": {\"breakfast\": {\"eid\": \"e4246\", \"logical_representation\": [\"2016/08/15\", \"breakfast\", \"pancakes\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/08/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4247\", \"logical_representation\": [\"2016/08/15\", \"dinner\", \"pasta\", \"Kayden, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Carter. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/08/15?\", \"Kayden, Carter\"], [\"what did I eat for dinner on 2016/08/15\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4248\", \"logical_representation\": [\"2016/08/15\", \"Lydia, Hazel, Kinsley, Piper\", \"in the morning\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Lydia, Hazel, Kinsley, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Kinsley, Piper in the morning on 2016/08/15?\", \"24 minutes\"], [\"who did I talk to on 2016/08/15?\", \"Lydia, Hazel, Kinsley, Piper\"], [\"Did I talk to Lydia, Hazel, Kinsley, Piper on 2016/08/15?\", \"yes\"], [\"Did I talk to anyone on 2016/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/16\": {\"dinner\": {\"eid\": \"e4249\", \"logical_representation\": [\"2016/08/16\", \"dinner\", \"tacos\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/08/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4250\", \"logical_representation\": [\"2016/08/16\", \"Piper, Piper, Avery, Nevaeh\", \"during lunch hours\", \"45 minutes\"], \"text_template_based\": \"I talked to Piper, Piper, Avery, Nevaeh for 45 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Avery, Nevaeh during lunch hours on 2016/08/16?\", \"45 minutes\"], [\"who did I talk to on 2016/08/16?\", \"Piper, Piper, Avery, Nevaeh\"], [\"Did I talk to Piper, Piper, Avery, Nevaeh on 2016/08/16?\", \"yes\"], [\"Did I talk to anyone on 2016/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/17\": {\"breakfast\": {\"eid\": \"e4251\", \"logical_representation\": [\"2016/08/17\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Claire, Layla, Nora, Lydia, Avery, Nevaeh, Olivia, Rylee, Kinsley\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/08/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4252\", \"logical_representation\": [\"2016/08/17\", \"lunch\", \"pasta\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/08/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4253\", \"logical_representation\": [\"2016/08/17\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I watched a documentary for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/17?\", \"54 minutes\"], [\"what did I watch on tv on 2016/08/17?\", \"a documentary\"], [\"Did I watch tv on 2016/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/20\": {\"chat0\": {\"eid\": \"e4254\", \"logical_representation\": [\"2016/08/20\", \"Kinsley, Rylee\", \"in the early evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee for 25 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee in the early evening on 2016/08/20?\", \"25 minutes\"], [\"who did I talk to on 2016/08/20?\", \"Kinsley, Rylee\"], [\"Did I talk to Kinsley, Rylee on 2016/08/20?\", \"yes\"], [\"Did I talk to anyone on 2016/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4255\", \"logical_representation\": [\"2016/08/20\", \"news\", \"28 minutes\"], \"text_template_based\": \"I watched news for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/08/20?\", \"28 minutes\"], [\"what did I watch on tv on 2016/08/20?\", \"news\"], [\"Did I watch tv on 2016/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/21\": {\"chat0\": {\"eid\": \"e4256\", \"logical_representation\": [\"2016/08/21\", \"Nevaeh\", \"late in the evening\", \"22 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 22 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2016/08/21?\", \"22 minutes\"], [\"who did I talk to on 2016/08/21?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2016/08/21?\", \"yes\"], [\"Did I talk to anyone on 2016/08/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/24\": {\"breakfast\": {\"eid\": \"e4257\", \"logical_representation\": [\"2016/08/24\", \"breakfast\", \"cereals\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/08/24\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2016/08/25\": {\"chat0\": {\"eid\": \"e4258\", \"logical_representation\": [\"2016/08/25\", \"Rylee, Piper, Piper, Layla\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Rylee, Piper, Piper, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Piper, Layla in the early afternoon on 2016/08/25?\", \"28 minutes\"], [\"who did I talk to on 2016/08/25?\", \"Rylee, Piper, Piper, Layla\"], [\"Did I talk to Rylee, Piper, Piper, Layla on 2016/08/25?\", \"yes\"], [\"Did I talk to anyone on 2016/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4259\", \"logical_representation\": [\"2016/08/25\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/08/25?\", \"10 minutes\"], [\"what did I read on 2016/08/25?\", \"social media\"], [\"Did I read on 2016/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/26\": {\"exercise\": {\"eid\": \"e4260\", \"logical_representation\": [\"2016/08/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/08/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/08/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4261\", \"logical_representation\": [\"2016/08/26\", \"lunch\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I had sandwich for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/08/26?\", \"Carter\"], [\"what did I eat for lunch on 2016/08/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4262\", \"logical_representation\": [\"2016/08/26\", \"Olivia, Layla, Piper\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Olivia, Layla, Piper for 30 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Piper late in the evening on 2016/08/26?\", \"30 minutes\"], [\"who did I talk to on 2016/08/26?\", \"Olivia, Layla, Piper\"], [\"Did I talk to Olivia, Layla, Piper on 2016/08/26?\", \"yes\"], [\"Did I talk to anyone on 2016/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/27\": {\"lunch\": {\"eid\": \"e4263\", \"logical_representation\": [\"2016/08/27\", \"lunch\", \"sandwich\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had sandwich for lunch with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/08/27?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2016/08/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2016/08/29\": {\"breakfast\": {\"eid\": \"e4265\", \"logical_representation\": [\"2016/08/29\", \"breakfast\", \"pancakes\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/08/29\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4266\", \"logical_representation\": [\"2016/08/29\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/08/29?\", \"27 minutes\"], [\"what did I read on 2016/08/29?\", \"news\"], [\"Did I read on 2016/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/08/30\": {\"social media\": {\"eid\": \"e4267\", \"logical_representation\": [\"2016/08/30\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/08/30?\", \"48 minutes\"], [\"what did I read on 2016/08/30?\", \"social media\"], [\"Did I read on 2016/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/01\": {\"exercise\": {\"eid\": \"e4268\", \"logical_representation\": [\"2016/09/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/09/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2016/09/04\": {\"breakfast\": {\"eid\": \"e4270\", \"logical_representation\": [\"2016/09/04\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4271\", \"logical_representation\": [\"2016/09/04\", \"lunch\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/04?\", \"Emily\"], [\"what did I eat for lunch on 2016/09/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4272\", \"logical_representation\": [\"2016/09/04\", \"dinner\", \"pasta\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/09/04\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2016/09/05\": {\"breakfast\": {\"eid\": \"e4273\", \"logical_representation\": [\"2016/09/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4274\", \"logical_representation\": [\"2016/09/05\", \"dinner\", \"indian food\", \"Emily\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/09/05\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2016/09/07\": {\"lunch\": {\"eid\": \"e4275\", \"logical_representation\": [\"2016/09/07\", \"lunch\", \"sushi\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had sushi for lunch with Emily, Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/07?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for lunch on 2016/09/07\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/09/08\": {\"watch tv\": {\"eid\": \"e4276\", \"logical_representation\": [\"2016/09/08\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I watched a tv series for 35 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/08?\", \"35 minutes\"], [\"what did I watch on tv on 2016/09/08?\", \"a tv series\"], [\"Did I watch tv on 2016/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/09\": {\"exercise\": {\"eid\": \"e4277\", \"logical_representation\": [\"2016/09/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/09/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4278\", \"logical_representation\": [\"2016/09/09\", \"Piper\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Piper for 51 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2016/09/09?\", \"51 minutes\"], [\"who did I talk to on 2016/09/09?\", \"Piper\"], [\"Did I talk to Piper on 2016/09/09?\", \"yes\"], [\"Did I talk to anyone on 2016/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/10\": {\"dinner\": {\"eid\": \"e4279\", \"logical_representation\": [\"2016/09/10\", \"dinner\", \"pasta\", \"Olivia, Nevaeh, Lydia, Piper, Claire, Avery\"], \"text_template_based\": \"I had dinner with Olivia, Nevaeh, Lydia, Piper, Claire, Avery. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/09/10?\", \"Olivia, Nevaeh, Lydia, Piper, Claire, Avery\"], [\"what did I eat for dinner on 2016/09/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4280\", \"logical_representation\": [\"2016/09/10\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/09/10?\", \"52 minutes\"], [\"what did I read on 2016/09/10?\", \"social media\"], [\"Did I read on 2016/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4281\", \"logical_representation\": [\"2016/09/10\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/10?\", \"11 minutes\"], [\"what did I watch on tv on 2016/09/10?\", \"a movie\"], [\"Did I watch tv on 2016/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/12\": {\"watch tv\": {\"eid\": \"e4282\", \"logical_representation\": [\"2016/09/12\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I watched a movie for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/12?\", \"43 minutes\"], [\"what did I watch on tv on 2016/09/12?\", \"a movie\"], [\"Did I watch tv on 2016/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/13\": {\"breakfast\": {\"eid\": \"e4283\", \"logical_representation\": [\"2016/09/13\", \"breakfast\", \"oatmeal\", \"Andrew\"], \"text_template_based\": \"I had oatmeal for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/09/13?\", \"Andrew\"], [\"what did I eat for breakfast on 2016/09/13\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2016/09/15\": {\"dinner\": {\"eid\": \"e4286\", \"logical_representation\": [\"2016/09/15\", \"dinner\", \"sandwich\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/09/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2016/09/16\": {\"dinner\": {\"eid\": \"e4287\", \"logical_representation\": [\"2016/09/16\", \"dinner\", \"steak\", \"Avery\"], \"text_template_based\": \"I had steak for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/09/16?\", \"Avery\"], [\"what did I eat for dinner on 2016/09/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4288\", \"logical_representation\": [\"2016/09/16\", \"Lydia, Nevaeh, Nora, Rylee\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Lydia, Nevaeh, Nora, Rylee for 36 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Nora, Rylee late in the evening on 2016/09/16?\", \"36 minutes\"], [\"who did I talk to on 2016/09/16?\", \"Lydia, Nevaeh, Nora, Rylee\"], [\"Did I talk to Lydia, Nevaeh, Nora, Rylee on 2016/09/16?\", \"yes\"], [\"Did I talk to anyone on 2016/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/17\": {\"watch tv\": {\"eid\": \"e4289\", \"logical_representation\": [\"2016/09/17\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/17?\", \"40 minutes\"], [\"what did I watch on tv on 2016/09/17?\", \"news\"], [\"Did I watch tv on 2016/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/18\": {\"exercise\": {\"eid\": \"e4290\", \"logical_representation\": [\"2016/09/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/09/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/09/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4291\", \"logical_representation\": [\"2016/09/18\", \"dinner\", \"chinese food\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/09/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4292\", \"logical_representation\": [\"2016/09/18\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/09/18?\", \"22 minutes\"], [\"what did I read on 2016/09/18?\", \"social media\"], [\"Did I read on 2016/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/20\": {\"breakfast\": {\"eid\": \"e4294\", \"logical_representation\": [\"2016/09/20\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/09/20\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4295\", \"logical_representation\": [\"2016/09/20\", \"lunch\", \"pasta\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had pasta for lunch with Andrew, Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/20?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for lunch on 2016/09/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4296\", \"logical_representation\": [\"2016/09/20\", \"Nevaeh, Hazel, Eva, Kinsley\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Hazel, Eva, Kinsley for 55 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Eva, Kinsley late in the evening on 2016/09/20?\", \"55 minutes\"], [\"who did I talk to on 2016/09/20?\", \"Nevaeh, Hazel, Eva, Kinsley\"], [\"Did I talk to Nevaeh, Hazel, Eva, Kinsley on 2016/09/20?\", \"yes\"], [\"Did I talk to anyone on 2016/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/21\": {\"chat0\": {\"eid\": \"e4297\", \"logical_representation\": [\"2016/09/21\", \"Piper, Lydia, Layla\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Layla for 26 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Layla in the early afternoon on 2016/09/21?\", \"26 minutes\"], [\"who did I talk to on 2016/09/21?\", \"Piper, Lydia, Layla\"], [\"Did I talk to Piper, Lydia, Layla on 2016/09/21?\", \"yes\"], [\"Did I talk to anyone on 2016/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4298\", \"logical_representation\": [\"2016/09/21\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/09/21?\", \"52 minutes\"], [\"what did I read on 2016/09/21?\", \"social media\"], [\"Did I read on 2016/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4299\", \"logical_representation\": [\"2016/09/21\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I watched a tv series for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/21?\", \"39 minutes\"], [\"what did I watch on tv on 2016/09/21?\", \"a tv series\"], [\"Did I watch tv on 2016/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/23\": {\"lunch\": {\"eid\": \"e4303\", \"logical_representation\": [\"2016/09/23\", \"lunch\", \"tacos\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had tacos for lunch with Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/09/23?\", \"Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2016/09/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4304\", \"logical_representation\": [\"2016/09/23\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/09/23?\", \"36 minutes\"], [\"what did I read on 2016/09/23?\", \"a book\"], [\"Did I read on 2016/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/24\": {\"watch tv\": {\"eid\": \"e4305\", \"logical_representation\": [\"2016/09/24\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/24?\", \"33 minutes\"], [\"what did I watch on tv on 2016/09/24?\", \"a movie\"], [\"Did I watch tv on 2016/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/25\": {\"dinner\": {\"eid\": \"e4306\", \"logical_representation\": [\"2016/09/25\", \"dinner\", \"steak\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had steak for dinner with Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/09/25?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for dinner on 2016/09/25\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4307\", \"logical_representation\": [\"2016/09/25\", \"Piper, Claire, Nevaeh\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Nevaeh for 51 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Nevaeh in the early afternoon on 2016/09/25?\", \"51 minutes\"], [\"who did I talk to on 2016/09/25?\", \"Piper, Claire, Nevaeh\"], [\"Did I talk to Piper, Claire, Nevaeh on 2016/09/25?\", \"yes\"], [\"Did I talk to anyone on 2016/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4308\", \"logical_representation\": [\"2016/09/25\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/09/25?\", \"18 minutes\"], [\"what did I read on 2016/09/25?\", \"news\"], [\"Did I read on 2016/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/26\": {\"dinner\": {\"eid\": \"e4309\", \"logical_representation\": [\"2016/09/26\", \"dinner\", \"a burger\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/09/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4310\", \"logical_representation\": [\"2016/09/26\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/09/26?\", \"19 minutes\"], [\"what did I read on 2016/09/26?\", \"social media\"], [\"Did I read on 2016/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/28\": {\"dinner\": {\"eid\": \"e4311\", \"logical_representation\": [\"2016/09/28\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had fish and chips for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/09/28?\", \"Kayden\"], [\"what did I eat for dinner on 2016/09/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4312\", \"logical_representation\": [\"2016/09/28\", \"a movie\", \"20 minutes\"], \"text_template_based\": \"I watched a movie for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/09/28?\", \"20 minutes\"], [\"what did I watch on tv on 2016/09/28?\", \"a movie\"], [\"Did I watch tv on 2016/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/09/29\": {\"lunch\": {\"eid\": \"e4313\", \"logical_representation\": [\"2016/09/29\", \"lunch\", \"pasta\", \"Kayden, Emily\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/09/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4314\", \"logical_representation\": [\"2016/09/29\", \"Avery\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I talked to Avery for 7 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2016/09/29?\", \"7 minutes\"], [\"who did I talk to on 2016/09/29?\", \"Avery\"], [\"Did I talk to Avery on 2016/09/29?\", \"yes\"], [\"Did I talk to anyone on 2016/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/02\": {\"chat0\": {\"eid\": \"e4320\", \"logical_representation\": [\"2016/10/02\", \"Hazel, Olivia\", \"in the morning\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Hazel, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia in the morning on 2016/10/02?\", \"53 minutes\"], [\"who did I talk to on 2016/10/02?\", \"Hazel, Olivia\"], [\"Did I talk to Hazel, Olivia on 2016/10/02?\", \"yes\"], [\"Did I talk to anyone on 2016/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/04\": {\"exercise\": {\"eid\": \"e4322\", \"logical_representation\": [\"2016/10/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/10/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2016/10/05\": {\"breakfast\": {\"eid\": \"e4323\", \"logical_representation\": [\"2016/10/05\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/10/05\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4324\", \"logical_representation\": [\"2016/10/05\", \"dinner\", \"pasta\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Emily, Kayden, Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/10/05?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2016/10/05\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2016/10/06\": {\"breakfast\": {\"eid\": \"e4325\", \"logical_representation\": [\"2016/10/06\", \"breakfast\", \"toast and cheese\", \"Olivia, Layla, Nora, Nevaeh, Piper, Rylee, Claire, Avery, Eva, Hazel, Piper, Lydia\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/10/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4326\", \"logical_representation\": [\"2016/10/06\", \"Avery\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I talked to Avery for 51 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2016/10/06?\", \"51 minutes\"], [\"who did I talk to on 2016/10/06?\", \"Avery\"], [\"Did I talk to Avery on 2016/10/06?\", \"yes\"], [\"Did I talk to anyone on 2016/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/08\": {\"lunch\": {\"eid\": \"e4328\", \"logical_representation\": [\"2016/10/08\", \"lunch\", \"indian food\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/10/08?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2016/10/08\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4329\", \"logical_representation\": [\"2016/10/08\", \"dinner\", \"sushi\", \"Nora, Hazel, Nevaeh, Rylee, Layla, Eva, Avery, Olivia, Piper, Claire, Lydia, Piper, Kinsley\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4330\", \"logical_representation\": [\"2016/10/08\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/10/08?\", \"24 minutes\"], [\"what did I read on 2016/10/08?\", \"news\"], [\"Did I read on 2016/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/09\": {\"chat0\": {\"eid\": \"e4331\", \"logical_representation\": [\"2016/10/09\", \"Piper, Avery, Piper, Nevaeh\", \"in the early afternoon\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Piper, Avery, Piper, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Piper, Nevaeh in the early afternoon on 2016/10/09?\", \"5 minutes\"], [\"who did I talk to on 2016/10/09?\", \"Piper, Avery, Piper, Nevaeh\"], [\"Did I talk to Piper, Avery, Piper, Nevaeh on 2016/10/09?\", \"yes\"], [\"Did I talk to anyone on 2016/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/10\": {\"chat0\": {\"eid\": \"e4332\", \"logical_representation\": [\"2016/10/10\", \"Nora, Eva, Piper, Piper\", \"in the early evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Nora, Eva, Piper, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva, Piper, Piper in the early evening on 2016/10/10?\", \"55 minutes\"], [\"who did I talk to on 2016/10/10?\", \"Nora, Eva, Piper, Piper\"], [\"Did I talk to Nora, Eva, Piper, Piper on 2016/10/10?\", \"yes\"], [\"Did I talk to anyone on 2016/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/13\": {\"lunch\": {\"eid\": \"e4337\", \"logical_representation\": [\"2016/10/13\", \"lunch\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/10/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4338\", \"logical_representation\": [\"2016/10/13\", \"dinner\", \"pasta\", \"Piper, Hazel, Olivia, Piper, Layla, Lydia, Avery, Nevaeh, Eva\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/10/13\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2016/10/14\": {\"read\": {\"eid\": \"e4339\", \"logical_representation\": [\"2016/10/14\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/10/14?\", \"48 minutes\"], [\"what did I read on 2016/10/14?\", \"a book\"], [\"Did I read on 2016/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/15\": {\"chat0\": {\"eid\": \"e4340\", \"logical_representation\": [\"2016/10/15\", \"Layla\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2016/10/15?\", \"47 minutes\"], [\"who did I talk to on 2016/10/15?\", \"Layla\"], [\"Did I talk to Layla on 2016/10/15?\", \"yes\"], [\"Did I talk to anyone on 2016/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/16\": {\"watch tv\": {\"eid\": \"e4341\", \"logical_representation\": [\"2016/10/16\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/16?\", \"16 minutes\"], [\"what did I watch on tv on 2016/10/16?\", \"a documentary\"], [\"Did I watch tv on 2016/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/17\": {\"chat0\": {\"eid\": \"e4342\", \"logical_representation\": [\"2016/10/17\", \"Kinsley, Hazel, Eva, Olivia\", \"in the morning\", \"43 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel, Eva, Olivia for 43 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Eva, Olivia in the morning on 2016/10/17?\", \"43 minutes\"], [\"who did I talk to on 2016/10/17?\", \"Kinsley, Hazel, Eva, Olivia\"], [\"Did I talk to Kinsley, Hazel, Eva, Olivia on 2016/10/17?\", \"yes\"], [\"Did I talk to anyone on 2016/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4343\", \"logical_representation\": [\"2016/10/17\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/17?\", \"54 minutes\"], [\"what did I watch on tv on 2016/10/17?\", \"news\"], [\"Did I watch tv on 2016/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/18\": {\"read\": {\"eid\": \"e4344\", \"logical_representation\": [\"2016/10/18\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/10/18?\", \"5 minutes\"], [\"what did I read on 2016/10/18?\", \"news\"], [\"Did I read on 2016/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/19\": {\"social media\": {\"eid\": \"e4345\", \"logical_representation\": [\"2016/10/19\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/10/19?\", \"12 minutes\"], [\"what did I read on 2016/10/19?\", \"social media\"], [\"Did I read on 2016/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/23\": {\"chat0\": {\"eid\": \"e4348\", \"logical_representation\": [\"2016/10/23\", \"Kinsley, Lydia, Nora, Piper\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Kinsley, Lydia, Nora, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Lydia, Nora, Piper in the morning on 2016/10/23?\", \"17 minutes\"], [\"who did I talk to on 2016/10/23?\", \"Kinsley, Lydia, Nora, Piper\"], [\"Did I talk to Kinsley, Lydia, Nora, Piper on 2016/10/23?\", \"yes\"], [\"Did I talk to anyone on 2016/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4349\", \"logical_representation\": [\"2016/10/23\", \"news\", \"55 minutes\"], \"text_template_based\": \"I watched news for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/23?\", \"55 minutes\"], [\"what did I watch on tv on 2016/10/23?\", \"news\"], [\"Did I watch tv on 2016/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/24\": {\"chat0\": {\"eid\": \"e4350\", \"logical_representation\": [\"2016/10/24\", \"Olivia, Kinsley, Nevaeh\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Olivia, Kinsley, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Nevaeh in the early afternoon on 2016/10/24?\", \"47 minutes\"], [\"who did I talk to on 2016/10/24?\", \"Olivia, Kinsley, Nevaeh\"], [\"Did I talk to Olivia, Kinsley, Nevaeh on 2016/10/24?\", \"yes\"], [\"Did I talk to anyone on 2016/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4351\", \"logical_representation\": [\"2016/10/24\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/10/24?\", \"54 minutes\"], [\"what did I read on 2016/10/24?\", \"news\"], [\"Did I read on 2016/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4352\", \"logical_representation\": [\"2016/10/24\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I watched a movie for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/10/24?\", \"43 minutes\"], [\"what did I watch on tv on 2016/10/24?\", \"a movie\"], [\"Did I watch tv on 2016/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/28\": {\"chat0\": {\"eid\": \"e4356\", \"logical_representation\": [\"2016/10/28\", \"Layla, Claire, Rylee\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Layla, Claire, Rylee for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire, Rylee in the morning on 2016/10/28?\", \"45 minutes\"], [\"who did I talk to on 2016/10/28?\", \"Layla, Claire, Rylee\"], [\"Did I talk to Layla, Claire, Rylee on 2016/10/28?\", \"yes\"], [\"Did I talk to anyone on 2016/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/10/29\": {\"dinner\": {\"eid\": \"e4357\", \"logical_representation\": [\"2016/10/29\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had sandwich for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/10/29?\", \"Kayden\"], [\"what did I eat for dinner on 2016/10/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2016/10/30\": {\"lunch\": {\"eid\": \"e4358\", \"logical_representation\": [\"2016/10/30\", \"lunch\", \"sushi\", \"Kayden\"], \"text_template_based\": \"I had sushi for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/10/30?\", \"Kayden\"], [\"what did I eat for lunch on 2016/10/30\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/10/31\": {\"exercise\": {\"eid\": \"e4359\", \"logical_representation\": [\"2016/10/31\", \"swimming\"], \"text_template_based\": \"I did swimming on 2016/10/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/10/31?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2016/11/01\": {\"breakfast\": {\"eid\": \"e4360\", \"logical_representation\": [\"2016/11/01\", \"breakfast\", \"oatmeal\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4361\", \"logical_representation\": [\"2016/11/01\", \"dinner\", \"indian food\", \"Hazel, Piper, Olivia, Layla, Nora, Kinsley, Piper, Rylee, Lydia, Nevaeh\"], \"text_template_based\": \"I had indian food for dinner with Hazel, Piper, Olivia, Layla, Nora, Kinsley, Piper, Rylee, Lydia, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/11/01?\", \"Hazel, Piper, Olivia, Layla, Nora, Kinsley, Piper, Rylee, Lydia, Nevaeh\"], [\"what did I eat for dinner on 2016/11/01\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2016/11/02\": {\"lunch\": {\"eid\": \"e4362\", \"logical_representation\": [\"2016/11/02\", \"lunch\", \"pasta\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/02\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2016/11/03\": {\"exercise\": {\"eid\": \"e4363\", \"logical_representation\": [\"2016/11/03\", \"running\"], \"text_template_based\": \"I did running on 2016/11/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4364\", \"logical_representation\": [\"2016/11/03\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/11/03?\", \"13 minutes\"], [\"what did I read on 2016/11/03?\", \"social media\"], [\"Did I read on 2016/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/05\": {\"breakfast\": {\"eid\": \"e4365\", \"logical_representation\": [\"2016/11/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4366\", \"logical_representation\": [\"2016/11/05\", \"dinner\", \"steak\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had dinner with Jackson, Benjamin, Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/11/05?\", \"Jackson, Benjamin, Avery\"], [\"what did I eat for dinner on 2016/11/05\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2016/11/06\": {\"exercise\": {\"eid\": \"e4367\", \"logical_representation\": [\"2016/11/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2016/11/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4368\", \"logical_representation\": [\"2016/11/06\", \"lunch\", \"pasta\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had pasta for lunch with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/11/06?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for lunch on 2016/11/06\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2016/11/10\": {\"breakfast\": {\"eid\": \"e4371\", \"logical_representation\": [\"2016/11/10\", \"breakfast\", \"pancakes\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Carter, Andrew, Emily. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/11/10?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for breakfast on 2016/11/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4372\", \"logical_representation\": [\"2016/11/10\", \"lunch\", \"sandwich\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2016/11/11\": {\"exercise\": {\"eid\": \"e4373\", \"logical_representation\": [\"2016/11/11\", \"biking\"], \"text_template_based\": \"I did biking on 2016/11/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4374\", \"logical_representation\": [\"2016/11/11\", \"Layla, Kinsley\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Layla, Kinsley for 11 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley late in the evening on 2016/11/11?\", \"11 minutes\"], [\"who did I talk to on 2016/11/11?\", \"Layla, Kinsley\"], [\"Did I talk to Layla, Kinsley on 2016/11/11?\", \"yes\"], [\"Did I talk to anyone on 2016/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4375\", \"logical_representation\": [\"2016/11/11\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/11/11?\", \"23 minutes\"], [\"what did I read on 2016/11/11?\", \"news\"], [\"Did I read on 2016/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/12\": {\"breakfast\": {\"eid\": \"e4376\", \"logical_representation\": [\"2016/11/12\", \"breakfast\", \"cereals\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden, Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/11/12?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2016/11/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4377\", \"logical_representation\": [\"2016/11/12\", \"lunch\", \"sushi\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/11/12\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4378\", \"logical_representation\": [\"2016/11/12\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/12?\", \"26 minutes\"], [\"what did I watch on tv on 2016/11/12?\", \"a tv series\"], [\"Did I watch tv on 2016/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/14\": {\"dinner\": {\"eid\": \"e4379\", \"logical_representation\": [\"2016/11/14\", \"dinner\", \"fish and chips\", \"Piper, Nevaeh, Piper, Lydia, Avery, Layla, Rylee, Nora, Hazel, Olivia, Eva, Kinsley, Claire\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/11/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2016/11/18\": {\"breakfast\": {\"eid\": \"e4382\", \"logical_representation\": [\"2016/11/18\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/11/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2016/11/20\": {\"chat0\": {\"eid\": \"e4384\", \"logical_representation\": [\"2016/11/20\", \"Eva, Rylee, Nevaeh, Layla\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Eva, Rylee, Nevaeh, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Nevaeh, Layla during lunch hours on 2016/11/20?\", \"34 minutes\"], [\"who did I talk to on 2016/11/20?\", \"Eva, Rylee, Nevaeh, Layla\"], [\"Did I talk to Eva, Rylee, Nevaeh, Layla on 2016/11/20?\", \"yes\"], [\"Did I talk to anyone on 2016/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/21\": {\"breakfast\": {\"eid\": \"e4385\", \"logical_representation\": [\"2016/11/21\", \"breakfast\", \"oatmeal\", \"Lydia, Hazel, Olivia, Nevaeh, Claire, Piper\"], \"text_template_based\": \"I had oatmeal for breakfast with Lydia, Hazel, Olivia, Nevaeh, Claire, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/11/21?\", \"Lydia, Hazel, Olivia, Nevaeh, Claire, Piper\"], [\"what did I eat for breakfast on 2016/11/21\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4386\", \"logical_representation\": [\"2016/11/21\", \"Claire, Piper, Lydia\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Claire, Piper, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Lydia in the early evening on 2016/11/21?\", \"49 minutes\"], [\"who did I talk to on 2016/11/21?\", \"Claire, Piper, Lydia\"], [\"Did I talk to Claire, Piper, Lydia on 2016/11/21?\", \"yes\"], [\"Did I talk to anyone on 2016/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4387\", \"logical_representation\": [\"2016/11/21\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2016/11/21?\", \"51 minutes\"], [\"what did I read on 2016/11/21?\", \"news\"], [\"Did I read on 2016/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/22\": {\"chat0\": {\"eid\": \"e4388\", \"logical_representation\": [\"2016/11/22\", \"Nevaeh\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2016/11/22?\", \"53 minutes\"], [\"who did I talk to on 2016/11/22?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2016/11/22?\", \"yes\"], [\"Did I talk to anyone on 2016/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4389\", \"logical_representation\": [\"2016/11/22\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/11/22?\", \"7 minutes\"], [\"what did I read on 2016/11/22?\", \"a book\"], [\"Did I read on 2016/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/23\": {\"dinner\": {\"eid\": \"e4390\", \"logical_representation\": [\"2016/11/23\", \"dinner\", \"tacos\", \"Layla, Piper, Kinsley\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/11/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4391\", \"logical_representation\": [\"2016/11/23\", \"Piper, Kinsley, Eva, Lydia\", \"in the late afternoon\", \"21 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Eva, Lydia for 21 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Eva, Lydia in the late afternoon on 2016/11/23?\", \"21 minutes\"], [\"who did I talk to on 2016/11/23?\", \"Piper, Kinsley, Eva, Lydia\"], [\"Did I talk to Piper, Kinsley, Eva, Lydia on 2016/11/23?\", \"yes\"], [\"Did I talk to anyone on 2016/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/24\": {\"chat0\": {\"eid\": \"e4392\", \"logical_representation\": [\"2016/11/24\", \"Nevaeh\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 24 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh during lunch hours on 2016/11/24?\", \"24 minutes\"], [\"who did I talk to on 2016/11/24?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2016/11/24?\", \"yes\"], [\"Did I talk to anyone on 2016/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4393\", \"logical_representation\": [\"2016/11/24\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/11/24?\", \"13 minutes\"], [\"what did I read on 2016/11/24?\", \"social media\"], [\"Did I read on 2016/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4394\", \"logical_representation\": [\"2016/11/24\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I watched a documentary for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/11/24?\", \"22 minutes\"], [\"what did I watch on tv on 2016/11/24?\", \"a documentary\"], [\"Did I watch tv on 2016/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/27\": {\"breakfast\": {\"eid\": \"e4400\", \"logical_representation\": [\"2016/11/27\", \"breakfast\", \"oatmeal\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had breakfast with Jackson, Willow, Benjamin. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/11/27?\", \"Jackson, Willow, Benjamin\"], [\"what did I eat for breakfast on 2016/11/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4401\", \"logical_representation\": [\"2016/11/27\", \"Nora, Kinsley, Hazel, Layla\", \"in the late afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Nora, Kinsley, Hazel, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Hazel, Layla in the late afternoon on 2016/11/27?\", \"15 minutes\"], [\"who did I talk to on 2016/11/27?\", \"Nora, Kinsley, Hazel, Layla\"], [\"Did I talk to Nora, Kinsley, Hazel, Layla on 2016/11/27?\", \"yes\"], [\"Did I talk to anyone on 2016/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/28\": {\"chat0\": {\"eid\": \"e4402\", \"logical_representation\": [\"2016/11/28\", \"Piper, Lydia, Claire\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Claire for 51 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Claire in the early evening on 2016/11/28?\", \"51 minutes\"], [\"who did I talk to on 2016/11/28?\", \"Piper, Lydia, Claire\"], [\"Did I talk to Piper, Lydia, Claire on 2016/11/28?\", \"yes\"], [\"Did I talk to anyone on 2016/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/11/29\": {\"exercise\": {\"eid\": \"e4403\", \"logical_representation\": [\"2016/11/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2016/11/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/11/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2016/12/02\": {\"exercise\": {\"eid\": \"e4406\", \"logical_representation\": [\"2016/12/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/12/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4407\", \"logical_representation\": [\"2016/12/02\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/12/02?\", \"Emily\"], [\"what did I eat for lunch on 2016/12/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4408\", \"logical_representation\": [\"2016/12/02\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/02?\", \"32 minutes\"], [\"what did I watch on tv on 2016/12/02?\", \"a movie\"], [\"Did I watch tv on 2016/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/03\": {\"dinner\": {\"eid\": \"e4409\", \"logical_representation\": [\"2016/12/03\", \"dinner\", \"fish and chips\", \"Layla, Eva\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2016/12/04\": {\"exercise\": {\"eid\": \"e4410\", \"logical_representation\": [\"2016/12/04\", \"running\"], \"text_template_based\": \"I did running on 2016/12/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/04?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2016/12/06\": {\"breakfast\": {\"eid\": \"e4413\", \"logical_representation\": [\"2016/12/06\", \"breakfast\", \"cereals\", \"Claire, Olivia, Layla, Eva\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/06\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2016/12/09\": {\"chat0\": {\"eid\": \"e4414\", \"logical_representation\": [\"2016/12/09\", \"Piper, Rylee, Layla, Hazel\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee, Layla, Hazel for 23 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Layla, Hazel in the late afternoon on 2016/12/09?\", \"23 minutes\"], [\"who did I talk to on 2016/12/09?\", \"Piper, Rylee, Layla, Hazel\"], [\"Did I talk to Piper, Rylee, Layla, Hazel on 2016/12/09?\", \"yes\"], [\"Did I talk to anyone on 2016/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/10\": {\"chat0\": {\"eid\": \"e4415\", \"logical_representation\": [\"2016/12/10\", \"Piper, Claire\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I talked to Piper, Claire for 38 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire during lunch hours on 2016/12/10?\", \"38 minutes\"], [\"who did I talk to on 2016/12/10?\", \"Piper, Claire\"], [\"Did I talk to Piper, Claire on 2016/12/10?\", \"yes\"], [\"Did I talk to anyone on 2016/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4416\", \"logical_representation\": [\"2016/12/10\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/12/10?\", \"38 minutes\"], [\"what did I read on 2016/12/10?\", \"a book\"], [\"Did I read on 2016/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4417\", \"logical_representation\": [\"2016/12/10\", \"news\", \"51 minutes\"], \"text_template_based\": \"I watched news for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/10?\", \"51 minutes\"], [\"what did I watch on tv on 2016/12/10?\", \"news\"], [\"Did I watch tv on 2016/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/12\": {\"exercise\": {\"eid\": \"e4420\", \"logical_representation\": [\"2016/12/12\", \"running\"], \"text_template_based\": \"I did running on 2016/12/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/12?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4421\", \"logical_representation\": [\"2016/12/12\", \"breakfast\", \"toast and cheese\", \"Layla, Eva, Piper, Rylee, Hazel, Avery, Nora, Piper, Olivia, Nevaeh\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4422\", \"logical_representation\": [\"2016/12/12\", \"lunch\", \"sushi\", \"Eva\"], \"text_template_based\": \"I had sushi for lunch with Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/12/12?\", \"Eva\"], [\"what did I eat for lunch on 2016/12/12\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/12/13\": {\"lunch\": {\"eid\": \"e4423\", \"logical_representation\": [\"2016/12/13\", \"lunch\", \"a burger\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2016/12/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4424\", \"logical_representation\": [\"2016/12/13\", \"Kinsley\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley late in the evening on 2016/12/13?\", \"43 minutes\"], [\"who did I talk to on 2016/12/13?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2016/12/13?\", \"yes\"], [\"Did I talk to anyone on 2016/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/15\": {\"breakfast\": {\"eid\": \"e4427\", \"logical_representation\": [\"2016/12/15\", \"breakfast\", \"cereals\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4428\", \"logical_representation\": [\"2016/12/15\", \"news\", \"46 minutes\"], \"text_template_based\": \"I watched news for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/15?\", \"46 minutes\"], [\"what did I watch on tv on 2016/12/15?\", \"news\"], [\"Did I watch tv on 2016/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/17\": {\"dinner\": {\"eid\": \"e4431\", \"logical_representation\": [\"2016/12/17\", \"dinner\", \"indian food\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2016/12/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4432\", \"logical_representation\": [\"2016/12/17\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2016/12/17?\", \"24 minutes\"], [\"what did I read on 2016/12/17?\", \"social media\"], [\"Did I read on 2016/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/21\": {\"breakfast\": {\"eid\": \"e4435\", \"logical_representation\": [\"2016/12/21\", \"breakfast\", \"cereals\", \"Nora, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Piper, Layla, Lydia\"], \"text_template_based\": \"I had cereals for breakfast with Nora, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Piper, Layla, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/12/21?\", \"Nora, Nevaeh, Kinsley, Rylee, Eva, Avery, Claire, Piper, Layla, Lydia\"], [\"what did I eat for breakfast on 2016/12/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4436\", \"logical_representation\": [\"2016/12/21\", \"Nora, Olivia, Claire\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia, Claire for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Claire in the morning on 2016/12/21?\", \"30 minutes\"], [\"who did I talk to on 2016/12/21?\", \"Nora, Olivia, Claire\"], [\"Did I talk to Nora, Olivia, Claire on 2016/12/21?\", \"yes\"], [\"Did I talk to anyone on 2016/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4437\", \"logical_representation\": [\"2016/12/21\", \"a movie\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2016/12/21?\", \"36 minutes\"], [\"what did I watch on tv on 2016/12/21?\", \"a movie\"], [\"Did I watch tv on 2016/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/24\": {\"read\": {\"eid\": \"e4438\", \"logical_representation\": [\"2016/12/24\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2016/12/24?\", \"34 minutes\"], [\"what did I read on 2016/12/24?\", \"a book\"], [\"Did I read on 2016/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/27\": {\"chat0\": {\"eid\": \"e4441\", \"logical_representation\": [\"2016/12/27\", \"Piper, Lydia, Avery, Nevaeh\", \"in the morning\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Piper, Lydia, Avery, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Avery, Nevaeh in the morning on 2016/12/27?\", \"21 minutes\"], [\"who did I talk to on 2016/12/27?\", \"Piper, Lydia, Avery, Nevaeh\"], [\"Did I talk to Piper, Lydia, Avery, Nevaeh on 2016/12/27?\", \"yes\"], [\"Did I talk to anyone on 2016/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2016/12/28\": {\"lunch\": {\"eid\": \"e4442\", \"logical_representation\": [\"2016/12/28\", \"lunch\", \"sushi\", \"Andrew, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/12/28?\", \"Andrew, Carter\"], [\"what did I eat for lunch on 2016/12/28\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2016/12/29\": {\"exercise\": {\"eid\": \"e4443\", \"logical_representation\": [\"2016/12/29\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2016/12/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2016/12/29?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4444\", \"logical_representation\": [\"2016/12/29\", \"breakfast\", \"toast and cheese\", \"Avery\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2016/12/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4445\", \"logical_representation\": [\"2016/12/29\", \"lunch\", \"tacos\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had tacos for lunch with Emily, Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2016/12/29?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for lunch on 2016/12/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4446\", \"logical_representation\": [\"2016/12/29\", \"dinner\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I had chinese food for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2016/12/29?\", \"Carter\"], [\"what did I eat for dinner on 2016/12/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2016/12/31\": {\"breakfast\": {\"eid\": \"e4448\", \"logical_representation\": [\"2016/12/31\", \"breakfast\", \"pancakes\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Carter. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2016/12/31?\", \"Emily, Kayden, Carter\"], [\"what did I eat for breakfast on 2016/12/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/05\": {\"travel\": {\"eid\": \"e4449\", \"logical_representation\": [\"2017/03/05\", \"2017/03/16\", [\"Andrew\", \"Emily\"], \"Paris, France\"], \"text_template_based\": \"I visited Paris, France for 11 days with Andrew, Emily starting on 2017/03/05\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Paris, France on 2017/03/05?\", \"Andrew, Emily\"], [\"who did I go with to Paris, France?\", \"Andrew, Emily\"], [\"where did I go on 2017/03/05?\", \"Paris, France\"], [\"when did I go to Paris, France?\", \"2017/03/05\"], [\"when did I go to Paris, France with Andrew, Emily ?\", \"2017/03/05\"], [\"How long did I stay in Paris, France?\", \"11\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4636\", \"logical_representation\": [\"2017/03/05\", \"Rylee\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2017/03/05?\", \"31 minutes\"], [\"who did I talk to on 2017/03/05?\", \"Rylee\"], [\"Did I talk to Rylee on 2017/03/05?\", \"yes\"], [\"Did I talk to anyone on 2017/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/06\": {\"places_visited\": {\"eid\": \"e4450\", \"logical_representation\": [\"2017/03/06\", [\"Andrew\", \"Emily\"], \"Champs Elys\\u00e9es\", \"bought some souvenirs\", \"impressed\"], \"text_template_based\": \"During my trip to Paris, France, I visited Champs Elys\\u00e9es on 2017/03 with Andrew, Emily.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Paris, France on 2017/03\", \"Champs Elys\\u00e9es\"], [\"when 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\"logical_representation\": [\"2017/03/07\", [\"Andrew\", \"Emily\"], \"local food\", \"Panificio Bonci\"], \"text_template_based\": \"I ate local food at Panificio Bonci with Andrew, Emily on  2017/03/07 when I was in Paris, France.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at Panificio Bonci ?\", \"Andrew, Emily\"], [\"who did I eat local food with?\", \"Andrew, Emily\"], [\"where did we eat local food during our trip to Paris, France on  2017/03/07?\", \"Panificio Bonci\"], [\"when did we eat local food at Panificio Bonci during our trip to Paris, France?\", \"2017/03/07\"], [\"when did we eat at Panificio Bonci?\", \"2017/03/07\"], [\"when did we eat local food?\", \"2017/03/07\"]], \"multihop_qa_pairs\": []}}, \"2017/03/08\": {\"places_visited\": {\"eid\": \"e4452\", \"logical_representation\": [\"2017/03/08\", [\"Andrew\", \"Emily\"], \"Louvre Museum\", \"took a selfie\", \"special\"], \"text_template_based\": \"During my trip to Paris, 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\"e4471\", \"logical_representation\": [\"2017/01/14\", \"I spent time meditation on 2017/01/14 with Jackson.\", \"meditation\", \"Jackson\"], \"text_template_based\": \"I spent time meditation on 2017/01/14 with Jackson.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Jackson?\", \"2017/01/14\"], [\"On 2017/01/14, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2017/01/14?\", \"Jackson\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4560\", \"logical_representation\": [\"2017/01/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/01/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4561\", \"logical_representation\": [\"2017/01/14\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/01/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2017/01/13\": {\"grocery\": {\"eid\": \"e4472\", \"logical_representation\": [\"2017/01/13\", \"I went grocery shopping. I bought some nectarines, oranges, cherres, apple juice, pineapple juice, and conditioner\", \"nectarines, oranges, cherres\", \"apple juice, pineapple juice\", \"conditioner\", \"Nora, Claire, Rylee, Olivia, Piper, Hazel, Piper\"], \"text_template_based\": \"I went grocery shopping. I bought some nectarines, oranges, cherres, apple juice, pineapple juice, and conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/01/13?\", \"nectarines, oranges, cherres, apple juice, pineapple juice, and conditioner\"], [\"what fruits did I buy from the grocery store on 2017/01/13?\", \"nectarines, oranges, cherres\"], [\"what drinks did I buy from the grocery store on 2017/01/13?\", \"apple juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2017/01/13?\", \"conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4556\", \"logical_representation\": [\"2017/01/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/01/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4557\", \"logical_representation\": [\"2017/01/13\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/01/13?\", \"Kayden\"], [\"what did I eat for breakfast on 2017/01/13\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4558\", \"logical_representation\": [\"2017/01/13\", \"dinner\", \"sandwich\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4559\", \"logical_representation\": [\"2017/01/13\", \"Piper\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I talked to Piper for 43 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2017/01/13?\", \"43 minutes\"], [\"who did I talk to on 2017/01/13?\", \"Piper\"], [\"Did I talk to Piper on 2017/01/13?\", \"yes\"], [\"Did I talk to anyone on 2017/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/19\": {\"hobbies\": {\"eid\": \"e4473\", \"logical_representation\": [\"2017/01/19\", \"I really enjoyed working out on 2017/01/19\", \"working out\", \"Emily\"], \"text_template_based\": \"I really enjoyed working out on 2017/01/19\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2017/01/19\"], [\"On 2017/01/19, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}}, \"2017/01/25\": {\"cook\": {\"eid\": \"e4474\", \"logical_representation\": [\"2017/01/25\", \"I was cooking au gratin peas and potatoes, air-fryer brats, wonton soup on 2017/01/25 with Carter, Emily, Andrew, Kayden at my place\", \"cook\", \"au gratin peas and potatoes, air-fryer brats, wonton soup\", \"Carter, Emily, Andrew, Kayden\", \"my place\"], \"text_template_based\": \"I was cooking au gratin peas and potatoes, air-fryer brats, wonton soup on 2017/01/25 with Carter, Emily, Andrew, Kayden at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  au gratin peas and potatoes, air-fryer brats, wonton soup with Carter, Emily, Andrew, Kayden?\", \"2017/01/25\"], [\"what did I  on 2017/01/25?\", \"au gratin peas and potatoes, air-fryer brats, wonton soup\"], [\"who was I with when I  au gratin peas and potatoes, air-fryer brats, wonton soup on 2017/01/25?\", \"Carter, Emily, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4576\", \"logical_representation\": [\"2017/01/25\", \"dinner\", \"a burger\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/25\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2017/01/26\": {\"hobbies\": {\"eid\": \"e4475\", \"logical_representation\": [\"2017/01/26\", \"I really enjoyed meditation on 2017/01/26\", \"meditation\", \"Carter, Kayden\"], \"text_template_based\": \"I really enjoyed meditation on 2017/01/26\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2017/01/26\"], [\"On 2017/01/26, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4577\", \"logical_representation\": [\"2017/01/26\", \"lunch\", \"pasta\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had lunch with Carter, Kayden, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/01/26?\", \"Carter, Kayden, Emily\"], [\"what did I eat for lunch on 2017/01/26\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4578\", \"logical_representation\": [\"2017/01/26\", \"dinner\", \"sushi\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4579\", \"logical_representation\": [\"2017/01/26\", \"Rylee, Eva\", \"during lunch hours\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Rylee, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva during lunch hours on 2017/01/26?\", \"30 minutes\"], [\"who did I talk to on 2017/01/26?\", \"Rylee, Eva\"], [\"Did I talk to Rylee, Eva on 2017/01/26?\", \"yes\"], [\"Did I talk to anyone on 2017/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/24\": {\"grocery\": {\"eid\": \"e4476\", \"logical_representation\": [\"2017/01/24\", \"I bought some cherres, clementines, sports drinks, pineapple juice, mineral water, tea, conditioner online.\", \"cherres, clementines\", \"sports drinks, pineapple juice, mineral water, tea\", \"conditioner\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I bought some cherres, clementines, sports drinks, pineapple juice, mineral water, tea, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/01/24?\", \"cherres, clementines, sports drinks, pineapple juice, mineral water, tea, and conditioner\"], [\"what fruits did I buy online on 2017/01/24?\", \"cherres, clementines\"], [\"what drinks did I buy online on 2017/01/24?\", \"sports drinks, pineapple juice, mineral water, tea\"], [\"what toiletries did I buy online on 2017/01/24?\", \"conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4574\", \"logical_representation\": [\"2017/01/24\", \"breakfast\", \"cereals\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/01/24\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4575\", \"logical_representation\": [\"2017/01/24\", \"dinner\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/24\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2017/01/28\": {\"grocery\": {\"eid\": \"e4477\", \"logical_representation\": [\"2017/01/28\", \"I bought some cherres, nectarines, guava juice, soda, pineapple juice, shampoo from the grocery store. I saw Benjamin, Avery, Jackson at the grocery store.\", \"cherres, nectarines\", \"guava juice, soda, pineapple juice\", \"shampoo\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I bought some cherres, nectarines, guava juice, soda, pineapple juice, shampoo from the grocery store. I saw Benjamin, Avery, Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/01/28?\", \"cherres, nectarines, guava juice, soda, pineapple juice, and shampoo\"], [\"what fruits did I buy from the grocery store on 2017/01/28?\", \"cherres, nectarines\"], [\"what drinks did I buy from the grocery store on 2017/01/28?\", \"guava juice, soda, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2017/01/28?\", \"shampoo\"], [\"who did I see at the grocery store on 2017/01/28?\", \"Benjamin, Avery, Jackson\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4581\", \"logical_representation\": [\"2017/01/28\", \"dinner\", \"a burger\", \"Nevaeh, Eva, Piper, Lydia, Hazel, Claire, Piper, Nora, Kinsley, Olivia, Rylee\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/28\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2017/01/30\": {\"cook\": {\"eid\": \"e4478\", \"logical_representation\": [\"2017/01/30\", \"I really enjoyed cooking so-easy sloppy joes on 2017/01/30 with Carter, Kayden at my place\", \"cook\", \"so-easy sloppy joes\", \"Carter, Kayden\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking so-easy sloppy joes on 2017/01/30 with Carter, Kayden at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  so-easy sloppy joes with Carter, Kayden?\", \"2017/01/30\"], [\"what did I  on 2017/01/30?\", \"so-easy sloppy joes\"], [\"who was I with when I  so-easy sloppy joes on 2017/01/30?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}}, \"2017/02/11\": {\"grocery\": {\"eid\": \"e4479\", \"logical_representation\": [\"2017/02/11\", \"I went grocery shopping with Willow, Jackson, Avery, Benjamin. I bought some pineapples, apricots, clementines, apples, guava juice, mineral water, orange juice, milk, and body lotion, mouthwash, toothpaste, mouth wash\", \"pineapples, apricots, clementines, apples\", \"guava juice, mineral water, orange juice, milk\", \"body lotion, mouthwash, toothpaste, mouth wash\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I went grocery shopping with Willow, Jackson, Avery, Benjamin. I bought some pineapples, apricots, clementines, apples, guava juice, mineral water, orange juice, milk, and body lotion, mouthwash, toothpaste, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/02/11?\", \"pineapples, apricots, clementines, apples, guava juice, mineral water, orange juice, milk, and body lotion, mouthwash, toothpaste, mouth wash\"], [\"what fruits did I buy from the grocery store on 2017/02/11?\", \"pineapples, apricots, clementines, apples\"], [\"what drinks did I buy from the grocery store on 2017/02/11?\", \"guava juice, mineral water, orange juice, milk\"], [\"what toiletries did I buy from the grocery store on 2017/02/11?\", \"body lotion, mouthwash, toothpaste, mouth wash\"], [\"who was with me at the grocery store on 2017/02/11?\", \"Willow, Jackson, Avery, Benjamin\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4603\", \"logical_representation\": [\"2017/02/11\", \"Nevaeh\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 53 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the late afternoon on 2017/02/11?\", \"53 minutes\"], [\"who did I talk to on 2017/02/11?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2017/02/11?\", \"yes\"], [\"Did I talk to anyone on 2017/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/17\": {\"bake\": {\"eid\": \"e4480\", \"logical_representation\": [\"2017/02/17\", \"I really enjoyed baking carrot cake, chocolate-chip mug brownie on 2017/02/17 with Emily at my place\", \"bake\", \"carrot cake, chocolate-chip mug brownie\", \"Emily\", \"my place\"], \"text_template_based\": \"I really enjoyed baking carrot cake, chocolate-chip mug brownie on 2017/02/17 with Emily at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  carrot cake, chocolate-chip mug brownie with Emily?\", \"2017/02/17\"], [\"what did I  on 2017/02/17?\", \"carrot cake, chocolate-chip mug brownie\"], [\"who was I with when I  carrot cake, chocolate-chip mug brownie on 2017/02/17?\", \"Emily\"]], \"multihop_qa_pairs\": []}}, \"2017/02/18\": {\"grocery\": {\"eid\": \"e4481\", \"logical_representation\": [\"2017/02/18\", \"I went grocery shopping. I bought some watermelons, mango juice, and toothbrush, paper towel\", \"watermelons\", \"mango juice\", \"toothbrush, paper towel\", \"Nevaeh, Piper, Nora, Kinsley, Claire, Avery, Lydia, Olivia\"], \"text_template_based\": \"I went grocery shopping. I bought some watermelons, mango juice, and toothbrush, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/02/18?\", \"watermelons, mango juice, and toothbrush, paper towel\"], [\"what fruits did I buy from the grocery store on 2017/02/18?\", \"watermelons\"], [\"what drinks did I buy from the grocery store on 2017/02/18?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2017/02/18?\", \"toothbrush, paper towel\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4613\", \"logical_representation\": [\"2017/02/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Lydia, Claire, Piper, Piper, Kinsley, Nora, Olivia\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4614\", \"logical_representation\": [\"2017/02/18\", \"Nevaeh, Lydia, Claire, Piper\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Nevaeh, Lydia, Claire, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Claire, Piper in the early evening on 2017/02/18?\", \"37 minutes\"], [\"who did I talk to on 2017/02/18?\", \"Nevaeh, Lydia, Claire, Piper\"], [\"Did I talk to Nevaeh, Lydia, Claire, Piper on 2017/02/18?\", \"yes\"], [\"Did I talk to anyone on 2017/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/30\": {\"dating\": {\"eid\": \"e4483\", \"logical_representation\": [\"2017/03/30\", \"Nevaeh\", \"a coffee Shop\"], \"text_template_based\": \"On 2017/03/30, I took Nevaeh on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/03/30\", \"Nevaeh\"], [\"where did I go for the date on 2017/03/30\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4667\", \"logical_representation\": [\"2017/03/30\", \"running\"], \"text_template_based\": \"I did running on 2017/03/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4668\", \"logical_representation\": [\"2017/03/30\", \"dinner\", \"pasta\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4669\", \"logical_representation\": [\"2017/03/30\", \"Avery, Layla, Hazel\", \"in the morning\", \"21 minutes\"], \"text_template_based\": \"I talked to Avery, Layla, Hazel for 21 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Hazel in the morning on 2017/03/30?\", \"21 minutes\"], [\"who did I talk to on 2017/03/30?\", \"Avery, Layla, Hazel\"], [\"Did I talk to Avery, Layla, Hazel on 2017/03/30?\", \"yes\"], [\"Did I talk to anyone on 2017/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4670\", \"logical_representation\": [\"2017/03/30\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I watched a movie for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/30?\", \"19 minutes\"], [\"what did I watch on tv on 2017/03/30?\", \"a movie\"], [\"Did I watch tv on 2017/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/31\": {\"grocery\": {\"eid\": \"e4484\", \"logical_representation\": [\"2017/03/31\", \"I went grocery shopping. I bought some pears, oranges, bananas, mango juice, soda, pineapple juice, and shampoo, paper towel\", \"pears, oranges, bananas\", \"mango juice, soda, pineapple juice\", \"shampoo, paper towel\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some pears, oranges, bananas, mango juice, soda, pineapple juice, and shampoo, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/03/31?\", \"pears, oranges, bananas, mango juice, soda, pineapple juice, and shampoo, paper towel\"], [\"what fruits did I buy from the grocery store on 2017/03/31?\", \"pears, oranges, bananas\"], [\"what drinks did I buy from the grocery store on 2017/03/31?\", \"mango juice, soda, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2017/03/31?\", \"shampoo, paper towel\"]], \"multihop_qa_pairs\": []}}, \"2017/04/07\": {\"dating\": {\"eid\": \"e4485\", \"logical_representation\": [\"2017/04/07\", \"Owen\", \"a park\"], \"text_template_based\": \"I went on a date with Owen on 2017/04/07 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/04/07\", \"Owen\"], [\"where did I go for the date on 2017/04/07\", \"a park\"]], \"multihop_qa_pairs\": []}}, \"2017/04/23\": {\"grocery\": {\"eid\": \"e4486\", \"logical_representation\": [\"2017/04/23\", \"I bought some watermelons, sports drinks, tea, soda, mouthwash, facial wash, toilet paper, body lotion from the grocery store. I saw Andrew at the grocery store.\", \"watermelons\", \"sports drinks, tea, soda\", \"mouthwash, facial wash, toilet paper, body lotion\", \"Andrew\"], \"text_template_based\": \"I bought some watermelons, sports drinks, tea, soda, mouthwash, facial wash, toilet paper, body lotion from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/04/23?\", \"watermelons, sports drinks, tea, soda, and mouthwash, facial wash, toilet paper, body lotion\"], [\"what fruits did I buy from the grocery store on 2017/04/23?\", \"watermelons\"], [\"what drinks did I buy from the grocery store on 2017/04/23?\", \"sports drinks, tea, soda\"], [\"what toiletries did I buy from the grocery store on 2017/04/23?\", \"mouthwash, facial wash, toilet paper, body lotion\"], [\"who did I see at the grocery store on 2017/04/23?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4699\", \"logical_representation\": [\"2017/04/23\", \"lunch\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/04/23?\", \"Andrew\"], [\"what did I eat for lunch on 2017/04/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4700\", \"logical_representation\": [\"2017/04/23\", \"Piper, Nevaeh, Kinsley\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Piper, Nevaeh, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Kinsley in the morning on 2017/04/23?\", \"22 minutes\"], [\"who did I talk to on 2017/04/23?\", \"Piper, Nevaeh, Kinsley\"], [\"Did I talk to Piper, Nevaeh, Kinsley on 2017/04/23?\", \"yes\"], [\"Did I talk to anyone on 2017/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/04\": {\"dating\": {\"eid\": \"e4487\", \"logical_representation\": [\"2017/05/04\", \"Sadie\", \"a park\"], \"text_template_based\": \"I went on a date with Sadie on 2017/05/04 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/05/04\", \"Sadie\"], [\"where did I go for the date on 2017/05/04\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e4488\", \"logical_representation\": [\"2017/05/04\", \"I spent time yoga on 2017/05/04 with Emily, Carter, Andrew.\", \"yoga\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I spent time yoga on 2017/05/04 with Emily, Carter, Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Emily, Carter, Andrew?\", \"2017/05/04\"], [\"On 2017/05/04, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2017/05/04?\", \"Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4723\", \"logical_representation\": [\"2017/05/04\", \"lunch\", \"sandwich\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch. 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\"text_template_based\": \"I spent 55 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/05/18?\", \"55 minutes\"], [\"what did I read on 2017/05/18?\", \"news\"], [\"Did I read on 2017/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/27\": {\"dating\": {\"eid\": \"e4491\", \"logical_representation\": [\"2017/05/27\", \"Allison\", \"a restaurant\"], \"text_template_based\": \"On 2017/05/27, I took Allison on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/05/27\", \"Allison\"], [\"where did I go for the date on 2017/05/27\", \"a restaurant\"]], \"multihop_qa_pairs\": []}}, \"2017/06/01\": {\"dating\": {\"eid\": \"e4492\", \"logical_representation\": [\"2017/06/01\", \"Emery\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Emery on 2017/06/01 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/06/01\", \"Emery\"], [\"where did I go for the date on 2017/06/01\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4759\", \"logical_representation\": [\"2017/06/01\", \"breakfast\", \"oatmeal\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had oatmeal for breakfast with Carter, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/06/01?\", \"Carter, Andrew, Emily\"], [\"what did I eat for breakfast on 2017/06/01\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4760\", \"logical_representation\": [\"2017/06/01\", \"lunch\", \"indian food\", \"Eva, Nora, Kinsley, Piper, Olivia\"], \"text_template_based\": \"I had indian food for lunch with Eva, Nora, Kinsley, Piper, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/06/01?\", \"Eva, Nora, Kinsley, Piper, Olivia\"], 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I saw Andrew, Kayden, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/06/05?\", \"guava, oranges, pears, orange juice, and body lotion, paper towel, shaving cream\"], [\"what fruits did I buy from the grocery store on 2017/06/05?\", \"guava, oranges, pears\"], [\"what drinks did I buy from the grocery store on 2017/06/05?\", \"orange juice\"], [\"what toiletries did I buy from the grocery store on 2017/06/05?\", \"body lotion, paper towel, shaving cream\"], [\"who did I see at the grocery store on 2017/06/05?\", \"Andrew, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4768\", \"logical_representation\": [\"2017/06/05\", \"Eva, Kinsley\", \"during lunch hours\", \"40 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley for 40 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley during lunch hours on 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Willow, Jackson, Benjamin at my place\", \"bake\", \"easy cherry skillet cake, lemon meringue cookies\", \"Willow, Jackson, Benjamin\", \"my place\"], \"text_template_based\": \"I really enjoyed baking easy cherry skillet cake, lemon meringue cookies on 2017/06/22 with Willow, Jackson, Benjamin at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  easy cherry skillet cake, lemon meringue cookies with Willow, Jackson, Benjamin?\", \"2017/06/22\"], [\"what did I  on 2017/06/22?\", \"easy cherry skillet cake, lemon meringue cookies\"], [\"who was I with when I  easy cherry skillet cake, lemon meringue cookies on 2017/06/22?\", \"Willow, Jackson, Benjamin\"]], \"multihop_qa_pairs\": []}}, \"2017/07/06\": {\"bake\": {\"eid\": \"e4498\", \"logical_representation\": [\"2017/07/06\", \"I entertained Willow at my place on 2017/07/06 and bake chocolate chip cookie in a mug, easy cherry skillet cake\", \"bake\", \"chocolate chip cookie in a mug, easy cherry skillet 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{\"eid\": \"e4501\", \"logical_representation\": [\"2017/07/06\", \"I spent some time gardening on 2017/07/06.\", \"gardening\", \"Nevaeh, Avery\"], \"text_template_based\": \"I spent some time gardening on 2017/07/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2017/07/06\"], [\"On 2017/07/06, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4809\", \"logical_representation\": [\"2017/07/06\", \"breakfast\", \"oatmeal\", \"Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Carter, Andrew. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/07/06?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2017/07/06\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4810\", \"logical_representation\": [\"2017/07/06\", \"lunch\", \"fish and chips\", \"Andrew, Emily\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/07/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4811\", \"logical_representation\": [\"2017/07/06\", \"dinner\", \"pasta\", \"Olivia, Nora, Layla, Eva, Kinsley, Lydia, Rylee, Piper, Nevaeh, Avery, Claire, Piper, Hazel\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/06\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2017/07/02\": {\"dating\": {\"eid\": \"e4499\", \"logical_representation\": [\"2017/07/02\", \"Daniel\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Daniel on 2017/07/02 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/07/02\", \"Daniel\"], [\"where did I go for the date on 2017/07/02\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4805\", \"logical_representation\": [\"2017/07/02\", \"lunch\", \"a burger\", \"Eva, Olivia, Rylee, Kinsley, Avery, Hazel\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/07/02\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2017/07/10\": {\"dating\": {\"eid\": \"e4502\", \"logical_representation\": [\"2017/07/10\", \"Caroline\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Caroline on 2017/07/10 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/07/10\", \"Caroline\"], [\"where did I go for the date on 2017/07/10\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4817\", \"logical_representation\": [\"2017/07/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4818\", \"logical_representation\": [\"2017/07/10\", \"news\", \"32 minutes\"], \"text_template_based\": \"I watched news for 32 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/10?\", \"32 minutes\"], [\"what did I watch on tv on 2017/07/10?\", \"news\"], [\"Did I watch tv on 2017/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/29\": {\"dating\": {\"eid\": \"e4503\", \"logical_representation\": [\"2017/07/29\", \"Emma\", \"a park\"], \"text_template_based\": \"On 2017/07/29, I took Emma on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/07/29\", \"Emma\"], [\"where did I go for the date on 2017/07/29\", \"a park\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4837\", \"logical_representation\": [\"2017/07/29\", \"lunch\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had lunch. 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I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/07/29?\", \"Rylee, Nora, Claire, Eva, Olivia\"], [\"what did I eat for dinner on 2017/07/29\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4839\", \"logical_representation\": [\"2017/07/29\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/07/29?\", \"32 minutes\"], [\"what did I read on 2017/07/29?\", \"social media\"], [\"Did I read on 2017/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/01\": {\"dating\": {\"eid\": \"e4504\", \"logical_representation\": [\"2017/08/01\", \"Isabella\", \"a park\"], \"text_template_based\": \"On 2017/08/01, I took Isabella on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/08/01\", \"Isabella\"], [\"where did I go for the date on 2017/08/01\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4845\", \"logical_representation\": [\"2017/08/01\", \"running\"], \"text_template_based\": \"I did running on 2017/08/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4846\", \"logical_representation\": [\"2017/08/01\", \"dinner\", \"pasta\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/01\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2017/08/04\": {\"grocery\": {\"eid\": \"e4505\", \"logical_representation\": [\"2017/08/04\", \"I went grocery shopping. I bought some blueberries, tea, and mouthwash\", \"blueberries\", \"tea\", \"mouthwash\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I went grocery shopping. I bought some blueberries, tea, and mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/08/04?\", \"blueberries, tea, and mouthwash\"], [\"what fruits did I buy from the grocery store on 2017/08/04?\", \"blueberries\"], [\"what drinks did I buy from the grocery store on 2017/08/04?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2017/08/04?\", \"mouthwash\"]], \"multihop_qa_pairs\": []}}, \"2017/08/09\": {\"grocery\": {\"eid\": \"e4506\", \"logical_representation\": [\"2017/08/09\", \"I went grocery shopping. I bought some apples, pears, apple juice, and facial wash, paper towel, mouthwash\", \"apples, pears\", \"apple juice\", \"facial wash, paper towel, mouthwash\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, pears, apple juice, and facial wash, paper towel, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/08/09?\", \"apples, pears, apple juice, and facial wash, paper towel, mouthwash\"], [\"what fruits did I buy from the grocery store on 2017/08/09?\", \"apples, pears\"], [\"what drinks did I buy from the grocery store on 2017/08/09?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2017/08/09?\", \"facial wash, paper towel, mouthwash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4854\", \"logical_representation\": [\"2017/08/09\", \"Claire\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Claire for 33 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2017/08/09?\", \"33 minutes\"], [\"who did I talk to on 2017/08/09?\", \"Claire\"], [\"Did I talk to Claire on 2017/08/09?\", \"yes\"], [\"Did I talk to anyone on 2017/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4855\", \"logical_representation\": [\"2017/08/09\", \"a movie\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/09?\", \"21 minutes\"], [\"what did I watch on tv on 2017/08/09?\", \"a movie\"], [\"Did I watch tv on 2017/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/16\": {\"hobbies\": {\"eid\": \"e4507\", \"logical_representation\": [\"2017/08/16\", \"I spent time working out on 2017/08/16 with Eva.\", \"working out\", \"Eva\"], \"text_template_based\": \"I spent time working out on 2017/08/16 with Eva.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Eva?\", \"2017/08/16\"], [\"On 2017/08/16, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2017/08/16?\", \"Eva\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4865\", \"logical_representation\": [\"2017/08/16\", \"dinner\", \"tacos\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/16\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2017/08/14\": {\"grocery\": {\"eid\": \"e4508\", \"logical_representation\": [\"2017/08/14\", \"I bought some pineapples, guava juice, mango juice, coffee, pineapple juice, toilet paper, paper towel, shaving cream online.\", \"pineapples\", \"guava juice, mango juice, coffee, pineapple juice\", \"toilet paper, paper towel, shaving cream\", \"Emily\"], \"text_template_based\": \"I bought some pineapples, guava juice, mango juice, coffee, pineapple juice, toilet paper, paper towel, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/08/14?\", \"pineapples, guava juice, mango juice, coffee, pineapple juice, and toilet paper, paper towel, shaving cream\"], [\"what fruits did I buy online on 2017/08/14?\", \"pineapples\"], [\"what drinks did I buy online on 2017/08/14?\", \"guava juice, mango juice, coffee, pineapple juice\"], [\"what toiletries did I buy online on 2017/08/14?\", \"toilet paper, paper towel, shaving cream\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4863\", \"logical_representation\": [\"2017/08/14\", \"dinner\", \"indian food\", \"Olivia, Hazel, Piper, Nora, Lydia, Avery, Kinsley, Rylee, Eva, Claire, Piper\"], \"text_template_based\": \"I had dinner with Olivia, Hazel, Piper, Nora, Lydia, Avery, Kinsley, Rylee, Eva, Claire, Piper. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/08/14?\", \"Olivia, Hazel, Piper, Nora, Lydia, Avery, Kinsley, Rylee, Eva, Claire, Piper\"], [\"what did I eat for dinner on 2017/08/14\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2017/08/17\": {\"grocery\": {\"eid\": \"e4509\", \"logical_representation\": [\"2017/08/17\", \"I went grocery shopping. I bought some cherres, blackberries, mandarins, coffee, pineapple juice, apple juice, milk, and toilet paper, mouthwash, toothpaste, body lotion\", \"cherres, blackberries, mandarins\", \"coffee, pineapple juice, apple juice, milk\", \"toilet paper, mouthwash, toothpaste, body lotion\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I went grocery shopping. I bought some cherres, blackberries, mandarins, coffee, pineapple juice, apple juice, milk, and toilet paper, mouthwash, toothpaste, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/08/17?\", \"cherres, blackberries, mandarins, coffee, pineapple juice, apple juice, milk, and toilet paper, mouthwash, toothpaste, body lotion\"], [\"what fruits did I buy from the grocery store on 2017/08/17?\", \"cherres, blackberries, mandarins\"], [\"what drinks did I buy from the grocery store on 2017/08/17?\", \"coffee, pineapple juice, apple juice, milk\"], [\"what toiletries did I buy from the grocery store on 2017/08/17?\", \"toilet paper, mouthwash, toothpaste, body lotion\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4866\", \"logical_representation\": [\"2017/08/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Willow. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/08/17?\", \"Jackson, Willow\"], [\"what did I eat for breakfast on 2017/08/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4867\", \"logical_representation\": [\"2017/08/17\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/17?\", \"54 minutes\"], [\"what did I watch on tv on 2017/08/17?\", \"a tv series\"], [\"Did I watch tv on 2017/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/21\": {\"dating\": {\"eid\": \"e4510\", \"logical_representation\": [\"2017/08/21\", \"Dylan\", \"a boba shop\"], \"text_template_based\": \"On 2017/08/21, I took Dylan on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/08/21\", \"Dylan\"], [\"where did I go for the date on 2017/08/21\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4872\", \"logical_representation\": [\"2017/08/21\", \"breakfast\", \"peanut-butter-jam\", \"Eva, Piper, Hazel, Kinsley, Nora, Avery, Nevaeh, Layla, Rylee, Lydia, Olivia, Claire, Piper\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2017/08/28\": {\"dating\": {\"eid\": \"e4512\", \"logical_representation\": [\"2017/08/28\", \"Isaiah\", \"a boba shop\"], \"text_template_based\": \"On 2017/08/28, I took Isaiah on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/08/28\", \"Isaiah\"], [\"where did I go for the date on 2017/08/28\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4885\", \"logical_representation\": [\"2017/08/28\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/08/28?\", \"35 minutes\"], [\"what did I read on 2017/08/28?\", \"a book\"], [\"Did I read on 2017/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/08\": {\"bake\": {\"eid\": \"e4513\", \"logical_representation\": [\"2017/09/08\", \"I entertained Emily at my place on 2017/09/08 and bake peanut butter cookies, giant cinnamon roll, pistachio oat squares\", \"bake\", \"peanut butter cookies, giant cinnamon roll, pistachio oat squares\", \"Emily\", \"my place\"], \"text_template_based\": \"I entertained Emily at my place on 2017/09/08 and bake peanut butter cookies, giant cinnamon roll, pistachio oat squares\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake peanut butter cookies, giant cinnamon roll, pistachio oat squares with Emily?\", \"2017/09/08\"], [\"what did I bake on 2017/09/08?\", \"peanut butter cookies, giant cinnamon roll, pistachio oat squares\"], [\"who was I with when I  peanut butter cookies, giant cinnamon roll, pistachio oat squares on 2017/09/08?\", \"Emily\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4902\", \"logical_representation\": [\"2017/09/08\", \"Nora, Nevaeh, Kinsley\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Nora, Nevaeh, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Kinsley in the late afternoon on 2017/09/08?\", \"14 minutes\"], [\"who did I talk to on 2017/09/08?\", \"Nora, Nevaeh, Kinsley\"], [\"Did I talk to Nora, Nevaeh, Kinsley on 2017/09/08?\", \"yes\"], [\"Did I talk to anyone on 2017/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/05\": {\"grocery\": {\"eid\": \"e4514\", \"logical_representation\": [\"2017/09/05\", \"I bought some apricots, mango juice, chocolate milk, mineral water, shaving cream, paper towel, conditioner from the grocery store. I saw Andrew at the grocery store.\", \"apricots\", \"mango juice, chocolate milk, mineral water\", \"shaving cream, paper towel, conditioner\", \"Andrew\"], \"text_template_based\": \"I bought some apricots, mango juice, chocolate milk, mineral water, shaving cream, paper towel, conditioner from the grocery store. I saw Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/09/05?\", \"apricots, mango juice, chocolate milk, mineral water, and shaving cream, paper towel, conditioner\"], [\"what fruits did I buy from the grocery store on 2017/09/05?\", \"apricots\"], [\"what drinks did I buy from the grocery store on 2017/09/05?\", \"mango juice, chocolate milk, mineral water\"], [\"what toiletries did I buy from the grocery store on 2017/09/05?\", \"shaving cream, paper towel, conditioner\"], [\"who did I see at the grocery store on 2017/09/05?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4899\", \"logical_representation\": [\"2017/09/05\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I watched a movie for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/05?\", \"14 minutes\"], [\"what did I watch on tv on 2017/09/05?\", \"a movie\"], [\"Did I watch tv on 2017/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/13\": {\"dating\": {\"eid\": \"e4515\", \"logical_representation\": [\"2017/09/13\", \"Lincoln\", \"a coffee Shop\"], \"text_template_based\": \"On 2017/09/13, I took Lincoln on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/09/13\", \"Lincoln\"], [\"where did I go for the date on 2017/09/13\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}}, \"2017/09/11\": {\"hobbies\": {\"eid\": \"e4516\", \"logical_representation\": [\"2017/09/11\", \"I spent some time learning a language on 2017/09/11.\", \"learning a language\", \"Rylee, Nevaeh\"], \"text_template_based\": \"I spent some time learning a language on 2017/09/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2017/09/11\"], [\"On 2017/09/11, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4908\", \"logical_representation\": [\"2017/09/11\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/09/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/11?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4909\", \"logical_representation\": [\"2017/09/11\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I watched a tv series for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/11?\", \"8 minutes\"], [\"what did I watch on tv on 2017/09/11?\", \"a tv series\"], [\"Did I watch tv on 2017/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/14\": {\"grocery\": {\"eid\": \"e4517\", \"logical_representation\": [\"2017/09/14\", \"I went grocery shopping. I bought some mangos, pineapples, blueberries, clementines, apple juice, and facial wash, toothpaste, body lotion\", \"mangos, pineapples, blueberries, clementines\", \"apple juice\", \"facial wash, toothpaste, body lotion\", \"Benjamin\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, pineapples, blueberries, clementines, apple juice, and facial wash, toothpaste, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/09/14?\", \"mangos, pineapples, blueberries, clementines, apple juice, and facial wash, toothpaste, body lotion\"], [\"what fruits did I buy from the grocery store on 2017/09/14?\", \"mangos, pineapples, blueberries, clementines\"], [\"what drinks did I buy from the grocery store on 2017/09/14?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2017/09/14?\", \"facial wash, toothpaste, body lotion\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4911\", \"logical_representation\": [\"2017/09/14\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I watched a movie for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/14?\", \"37 minutes\"], [\"what did I watch on tv on 2017/09/14?\", \"a movie\"], [\"Did I watch tv on 2017/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/30\": {\"grocery\": {\"eid\": \"e4518\", \"logical_representation\": [\"2017/09/30\", \"I bought some bananas, pineapple juice, guava juice, shampoo online.\", \"bananas\", \"pineapple juice, guava juice\", \"shampoo\", \"Piper, Kinsley, Nora, Piper, Claire, Layla, Nevaeh, Avery, Olivia, Rylee\"], \"text_template_based\": \"I bought some bananas, pineapple juice, guava juice, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2017/09/30?\", \"bananas, pineapple juice, guava juice, and shampoo\"], [\"what fruits did I buy online on 2017/09/30?\", \"bananas\"], [\"what drinks did I buy online on 2017/09/30?\", \"pineapple juice, guava juice\"], [\"what toiletries did I buy online on 2017/09/30?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4935\", \"logical_representation\": [\"2017/09/30\", \"lunch\", \"sandwich\", \"Layla\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2017/10/05\": {\"dating\": {\"eid\": \"e4519\", \"logical_representation\": [\"2017/10/05\", \"Ezra\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Ezra on 2017/10/05 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/10/05\", \"Ezra\"], [\"where did I go for the date on 2017/10/05\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4939\", \"logical_representation\": [\"2017/10/05\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I watched a documentary for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/05?\", \"44 minutes\"], [\"what did I watch on tv on 2017/10/05?\", \"a documentary\"], [\"Did I watch tv on 2017/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/02\": {\"grocery\": {\"eid\": \"e4520\", \"logical_representation\": [\"2017/10/02\", \"I went grocery shopping with Nevaeh, Hazel, Avery, Olivia. I bought some mangos, milk, apple juice, guava juice, mineral water, and shaving cream, body lotion\", \"mangos\", \"milk, apple juice, guava juice, mineral water\", \"shaving cream, body lotion\", \"Nevaeh, Hazel, Avery, Olivia\"], \"text_template_based\": \"I went grocery shopping with Nevaeh, Hazel, Avery, Olivia. I bought some mangos, milk, apple juice, guava juice, mineral water, and shaving cream, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/10/02?\", \"mangos, milk, apple juice, guava juice, mineral water, and shaving cream, body lotion\"], [\"what fruits did I buy from the grocery store on 2017/10/02?\", \"mangos\"], [\"what drinks did I buy from the grocery store on 2017/10/02?\", \"milk, apple juice, guava juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2017/10/02?\", \"shaving cream, body lotion\"], [\"who was with me at the grocery store on 2017/10/02?\", \"Nevaeh, Hazel, Avery, Olivia\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4936\", \"logical_representation\": [\"2017/10/02\", \"Kinsley, Piper\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper for 15 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the early evening on 2017/10/02?\", \"15 minutes\"], [\"who did I talk to on 2017/10/02?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2017/10/02?\", \"yes\"], [\"Did I talk to anyone on 2017/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4937\", \"logical_representation\": [\"2017/10/02\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/10/02?\", \"48 minutes\"], [\"what did I read on 2017/10/02?\", \"social media\"], [\"Did I read on 2017/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/12\": {\"dating\": {\"eid\": \"e4521\", \"logical_representation\": [\"2017/10/12\", \"Silas\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Silas on 2017/10/12 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/10/12\", \"Silas\"], [\"where did I go for the date on 2017/10/12\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4946\", \"logical_representation\": [\"2017/10/12\", \"Rylee\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I talked to Rylee for 12 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2017/10/12?\", \"12 minutes\"], [\"who did I talk to on 2017/10/12?\", \"Rylee\"], [\"Did I talk to Rylee on 2017/10/12?\", \"yes\"], [\"Did I talk to anyone on 2017/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/21\": {\"dating\": {\"eid\": \"e4522\", \"logical_representation\": [\"2017/10/21\", \"Delilah\", \"a park\"], \"text_template_based\": \"I went on a date with Delilah on 2017/10/21 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/10/21\", \"Delilah\"], [\"where did I go for the date on 2017/10/21\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e4523\", \"logical_representation\": [\"2017/10/21\", \"I really enjoyed working out on 2017/10/21\", \"working out\", \"Kinsley, Olivia\"], \"text_template_based\": \"I really enjoyed working out on 2017/10/21\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2017/10/21\"], [\"On 2017/10/21, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4960\", \"logical_representation\": [\"2017/10/21\", \"breakfast\", \"pancakes\", \"Nora, Olivia, Lydia, Hazel, Avery, Piper, Layla, Eva, Rylee, Nevaeh, Piper, Kinsley\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/10/21\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/15\": {\"grocery\": {\"eid\": \"e4524\", \"logical_representation\": [\"2017/10/15\", \"I went grocery shopping with Hazel, Nevaeh, Nora, Kinsley, Piper, Layla, Claire, Eva, Lydia. I bought some watermelons, nectarines, pineapple juice, apple juice, mineral water, and toilet paper\", \"watermelons, nectarines\", \"pineapple juice, apple juice, mineral water\", \"toilet paper\", \"Hazel, Nevaeh, Nora, Kinsley, Piper, Layla, Claire, Eva, Lydia\"], \"text_template_based\": \"I went grocery shopping with Hazel, Nevaeh, Nora, Kinsley, Piper, Layla, Claire, Eva, Lydia. I bought some watermelons, nectarines, pineapple juice, apple juice, mineral water, and toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/10/15?\", \"watermelons, nectarines, pineapple juice, apple juice, mineral water, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2017/10/15?\", \"watermelons, nectarines\"], [\"what drinks did I buy from the grocery store on 2017/10/15?\", \"pineapple juice, apple juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2017/10/15?\", \"toilet paper\"], [\"who was with me at the grocery store on 2017/10/15?\", \"Hazel, Nevaeh, Nora, Kinsley, Piper, Layla, Claire, Eva, Lydia\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4951\", \"logical_representation\": [\"2017/10/15\", \"Rylee\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2017/10/15?\", \"52 minutes\"], [\"who did I talk to on 2017/10/15?\", \"Rylee\"], [\"Did I talk to Rylee on 2017/10/15?\", \"yes\"], [\"Did I talk to anyone on 2017/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/27\": {\"grocery\": {\"eid\": \"e4525\", \"logical_representation\": [\"2017/10/27\", \"I went grocery shopping with Benjamin. I bought some pineapples, blueberries, mandarins, soda, pineapple juice, and mouthwash, toothpaste, toothbrush\", \"pineapples, blueberries, mandarins\", \"soda, pineapple juice\", \"mouthwash, toothpaste, toothbrush\", \"Benjamin\"], \"text_template_based\": \"I went grocery shopping with Benjamin. I bought some pineapples, blueberries, mandarins, soda, pineapple juice, and mouthwash, toothpaste, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/10/27?\", \"pineapples, blueberries, mandarins, soda, pineapple juice, and mouthwash, toothpaste, toothbrush\"], [\"what fruits did I buy from the grocery store on 2017/10/27?\", \"pineapples, blueberries, mandarins\"], [\"what drinks did I buy from the grocery store on 2017/10/27?\", \"soda, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2017/10/27?\", \"mouthwash, toothpaste, toothbrush\"], [\"who was with me at the grocery store on 2017/10/27?\", \"Benjamin\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4969\", \"logical_representation\": [\"2017/10/27\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/10/27?\", \"27 minutes\"], [\"what did I read on 2017/10/27?\", \"a book\"], [\"Did I read on 2017/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/29\": {\"dating\": {\"eid\": \"e4526\", \"logical_representation\": [\"2017/10/29\", \"Alexander\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Alexander on 2017/10/29 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/10/29\", \"Alexander\"], [\"where did I go for the date on 2017/10/29\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4973\", \"logical_representation\": [\"2017/10/29\", \"Layla, Claire\", \"in the early evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Layla, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire in the early evening on 2017/10/29?\", \"28 minutes\"], [\"who did I talk to on 2017/10/29?\", \"Layla, Claire\"], [\"Did I talk to Layla, Claire on 2017/10/29?\", \"yes\"], [\"Did I talk to anyone on 2017/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4974\", \"logical_representation\": [\"2017/10/29\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I watched a movie for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/29?\", \"43 minutes\"], [\"what did I watch on tv on 2017/10/29?\", \"a movie\"], [\"Did I watch tv on 2017/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/08\": {\"grocery\": {\"eid\": \"e4527\", \"logical_representation\": [\"2017/11/08\", \"I bought some pears, peaches, guava, apple juice, facial wash, body lotion, toilet paper from the grocery store. I saw Olivia, Rylee, Eva, Avery, Layla at the grocery store.\", \"pears, peaches, guava\", \"apple juice\", \"facial wash, body lotion, toilet paper\", \"Olivia, Rylee, Eva, Avery, Layla\"], \"text_template_based\": \"I bought some pears, peaches, guava, apple juice, facial wash, body lotion, toilet paper from the grocery store. I saw Olivia, Rylee, Eva, Avery, Layla at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/11/08?\", \"pears, peaches, guava, apple juice, and facial wash, body lotion, toilet paper\"], [\"what fruits did I buy from the grocery store on 2017/11/08?\", \"pears, peaches, guava\"], [\"what drinks did I buy from the grocery store on 2017/11/08?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2017/11/08?\", \"facial wash, body lotion, toilet paper\"], [\"who did I see at the grocery store on 2017/11/08?\", \"Olivia, Rylee, Eva, Avery, Layla\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e4994\", \"logical_representation\": [\"2017/11/08\", \"biking\"], \"text_template_based\": \"I did biking on 2017/11/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/08?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2017/11/16\": {\"cook\": {\"eid\": \"e4528\", \"logical_representation\": [\"2017/11/16\", \"I really enjoyed cooking contest-winning broccoli chicken casserole on 2017/11/16 with Kayden, Andrew, Carter, Emily at my place\", \"cook\", \"contest-winning broccoli chicken casserole\", \"Kayden, Andrew, Carter, Emily\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking contest-winning broccoli chicken casserole on 2017/11/16 with Kayden, Andrew, Carter, Emily at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  contest-winning broccoli chicken casserole with Kayden, Andrew, Carter, Emily?\", \"2017/11/16\"], [\"what did I  on 2017/11/16?\", \"contest-winning broccoli chicken casserole\"], [\"who was I with when I  contest-winning broccoli chicken casserole on 2017/11/16?\", \"Kayden, Andrew, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e4529\", \"logical_representation\": [\"2017/11/16\", \"I spent time gardening on 2017/11/16 with Piper, Kinsley, Lydia.\", \"gardening\", \"Piper, Kinsley, Lydia\"], \"text_template_based\": \"I spent time gardening on 2017/11/16 with Piper, Kinsley, Lydia.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Piper, Kinsley, Lydia?\", \"2017/11/16\"], [\"On 2017/11/16, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2017/11/16?\", \"Piper, Kinsley, Lydia\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5013\", \"logical_representation\": [\"2017/11/16\", \"lunch\", \"a burger\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5014\", \"logical_representation\": [\"2017/11/16\", \"dinner\", \"pasta\", \"Piper, Layla, Lydia, Piper, Nora, Kinsley\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/11/16\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2017/11/12\": {\"grocery\": {\"eid\": \"e4530\", \"logical_representation\": [\"2017/11/12\", \"I went grocery shopping. I bought some apricots, oranges, apples, mineral water, guava juice, orange juice, milk, and mouth wash, facial wash\", \"apricots, oranges, apples\", \"mineral water, guava juice, orange juice, milk\", \"mouth wash, facial wash\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some apricots, oranges, apples, mineral water, guava juice, orange juice, milk, and mouth wash, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/11/12?\", \"apricots, oranges, apples, mineral water, guava juice, orange juice, milk, and mouth wash, facial wash\"], [\"what fruits did I buy from the grocery store on 2017/11/12?\", \"apricots, oranges, apples\"], [\"what drinks did I buy from the grocery store on 2017/11/12?\", \"mineral water, guava juice, orange juice, milk\"], [\"what toiletries did I buy from the grocery store on 2017/11/12?\", \"mouth wash, facial wash\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5002\", \"logical_representation\": [\"2017/11/12\", \"news\", \"46 minutes\"], \"text_template_based\": \"I watched news for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/12?\", \"46 minutes\"], [\"what did I watch on tv on 2017/11/12?\", \"news\"], [\"Did I watch tv on 2017/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/15\": {\"grocery\": {\"eid\": \"e4531\", \"logical_representation\": [\"2017/11/15\", \"I went grocery shopping. I bought some clementines, watermelons, blueberries, bananas, orange juice, apple juice, and paper towel, mouthwash, toothbrush\", \"clementines, watermelons, blueberries, bananas\", \"orange juice, apple juice\", \"paper towel, mouthwash, toothbrush\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some clementines, watermelons, blueberries, bananas, orange juice, apple juice, and paper towel, mouthwash, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/11/15?\", \"clementines, watermelons, blueberries, bananas, orange juice, apple juice, and paper towel, mouthwash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2017/11/15?\", \"clementines, watermelons, blueberries, bananas\"], [\"what drinks did I buy from the grocery store on 2017/11/15?\", \"orange juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2017/11/15?\", \"paper towel, mouthwash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5010\", \"logical_representation\": [\"2017/11/15\", \"breakfast\", \"pancakes\", \"Hazel, Kinsley, Piper, Olivia, Eva, Lydia, Nora, Nevaeh, Avery, Rylee, Layla\"], \"text_template_based\": \"I had breakfast with Hazel, Kinsley, Piper, Olivia, Eva, Lydia, Nora, Nevaeh, Avery, Rylee, Layla. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/11/15?\", \"Hazel, Kinsley, Piper, Olivia, Eva, Lydia, Nora, Nevaeh, Avery, Rylee, Layla\"], [\"what did I eat for breakfast on 2017/11/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5011\", \"logical_representation\": [\"2017/11/15\", \"Layla, Hazel, Lydia, Piper\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Layla, Hazel, Lydia, Piper for 26 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Lydia, Piper in the early afternoon on 2017/11/15?\", \"26 minutes\"], [\"who did I talk to on 2017/11/15?\", \"Layla, Hazel, Lydia, Piper\"], [\"Did I talk to Layla, Hazel, Lydia, Piper on 2017/11/15?\", \"yes\"], [\"Did I talk to anyone on 2017/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5012\", \"logical_representation\": [\"2017/11/15\", \"news\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/15?\", \"41 minutes\"], [\"what did I watch on tv on 2017/11/15?\", \"news\"], [\"Did I watch tv on 2017/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/27\": {\"hobbies\": {\"eid\": \"e4532\", \"logical_representation\": [\"2017/11/27\", \"I spent some time gardening on 2017/11/27.\", \"gardening\", \"Andrew, Carter\"], \"text_template_based\": \"I spent some time gardening on 2017/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2017/11/27\"], [\"On 2017/11/27, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5035\", \"logical_representation\": [\"2017/11/27\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/27?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5036\", \"logical_representation\": [\"2017/11/27\", \"dinner\", \"chinese food\", \"Nora, Piper, Hazel, Lydia, Piper\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/11/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2017/12/07\": {\"bake\": {\"eid\": \"e4533\", \"logical_representation\": [\"2017/12/07\", \"I was baking vegan sugar cookies, lemon meringue cookies, birthday cupcakes with white wine buttercream on 2017/12/07 with Andrew, Emily, Kayden, Carter at my place\", \"bake\", \"vegan sugar cookies, lemon meringue cookies, birthday cupcakes with white wine buttercream\", \"Andrew, Emily, Kayden, Carter\", \"my place\"], \"text_template_based\": \"I was baking vegan sugar cookies, lemon meringue cookies, birthday cupcakes with white wine buttercream on 2017/12/07 with Andrew, Emily, Kayden, Carter at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  vegan sugar cookies, lemon meringue cookies, birthday cupcakes with white wine buttercream with Andrew, Emily, Kayden, Carter?\", \"2017/12/07\"], [\"what did I  on 2017/12/07?\", \"vegan sugar cookies, lemon meringue cookies, birthday cupcakes with white wine buttercream\"], [\"who was I with when I  vegan sugar cookies, lemon meringue cookies, birthday cupcakes with white wine buttercream on 2017/12/07?\", \"Andrew, Emily, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5049\", \"logical_representation\": [\"2017/12/07\", \"lunch\", \"indian food\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/07\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2017/12/10\": {\"dating\": {\"eid\": \"e4534\", \"logical_representation\": [\"2017/12/10\", \"Matthew\", \"a boba shop\"], \"text_template_based\": \"On 2017/12/10, I took Matthew on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2017/12/10\", \"Matthew\"], [\"where did I go for the date on 2017/12/10\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5052\", \"logical_representation\": [\"2017/12/10\", \"breakfast\", \"peanut-butter-jam\", \"Hazel, Rylee, Nora\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/12/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5053\", \"logical_representation\": [\"2017/12/10\", \"lunch\", \"steak\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/10\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2017/12/23\": {\"grocery\": {\"eid\": \"e4535\", \"logical_representation\": [\"2017/12/23\", \"I bought some mangos, guava, pineapples, guava juice, paper towel from the grocery store. I saw Benjamin, Avery, Jackson at the grocery store.\", \"mangos, guava, pineapples\", \"guava juice\", \"paper towel\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I bought some mangos, guava, pineapples, guava juice, paper towel from the grocery store. I saw Benjamin, Avery, Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/12/23?\", \"mangos, guava, pineapples, guava juice, and paper towel\"], [\"what fruits did I buy from the grocery store on 2017/12/23?\", \"mangos, guava, pineapples\"], [\"what drinks did I buy from the grocery store on 2017/12/23?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2017/12/23?\", \"paper towel\"], [\"who did I see at the grocery store on 2017/12/23?\", \"Benjamin, Avery, Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5076\", \"logical_representation\": [\"2017/12/23\", \"breakfast\", \"oatmeal\", \"Avery, Willow\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/12/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5077\", \"logical_representation\": [\"2017/12/23\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I watched a documentary for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/23?\", \"42 minutes\"], [\"what did I watch on tv on 2017/12/23?\", \"a documentary\"], [\"Did I watch tv on 2017/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/24\": {\"grocery\": {\"eid\": \"e4536\", \"logical_representation\": [\"2017/12/24\", \"I went grocery shopping. I bought some raspberries, sports drinks, mango juice, and mouth wash\", \"raspberries\", \"sports drinks, mango juice\", \"mouth wash\", \"Layla, Piper, Eva, Lydia, Nora, Olivia, Kinsley, Nevaeh, Claire, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, sports drinks, mango juice, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/12/24?\", \"raspberries, sports drinks, mango juice, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2017/12/24?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2017/12/24?\", \"sports drinks, mango juice\"], [\"what toiletries did I buy from the grocery store on 2017/12/24?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5078\", \"logical_representation\": [\"2017/12/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/12/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5079\", \"logical_representation\": [\"2017/12/24\", \"lunch\", \"fish and chips\", \"Emily, Carter\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5080\", \"logical_representation\": [\"2017/12/24\", \"dinner\", \"steak\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/24\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2017/12/30\": {\"grocery\": {\"eid\": \"e4537\", \"logical_representation\": [\"2017/12/30\", \"I bought some pears, oranges, apples, guava, sports drinks, guava juice, pineapple juice, toothbrush from the grocery store. I saw Kinsley, Piper at the grocery store.\", \"pears, oranges, apples, guava\", \"sports drinks, guava juice, pineapple juice\", \"toothbrush\", \"Kinsley, Piper\"], \"text_template_based\": \"I bought some pears, oranges, apples, guava, sports drinks, guava juice, pineapple juice, toothbrush from the grocery store. I saw Kinsley, Piper at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2017/12/30?\", \"pears, oranges, apples, guava, sports drinks, guava juice, pineapple juice, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2017/12/30?\", \"pears, oranges, apples, guava\"], [\"what drinks did I buy from the grocery store on 2017/12/30?\", \"sports drinks, guava juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2017/12/30?\", \"toothbrush\"], [\"who did I see at the grocery store on 2017/12/30?\", \"Kinsley, Piper\"]], \"multihop_qa_pairs\": []}}, \"2017/01/02\": {\"chat0\": {\"eid\": \"e4538\", \"logical_representation\": [\"2017/01/02\", \"Layla\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I talked to Layla for 8 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla during lunch hours on 2017/01/02?\", \"8 minutes\"], [\"who did I talk to on 2017/01/02?\", \"Layla\"], [\"Did I talk to Layla on 2017/01/02?\", \"yes\"], [\"Did I talk to anyone on 2017/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/04\": {\"watch tv\": {\"eid\": \"e4540\", \"logical_representation\": [\"2017/01/04\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I watched a tv series for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/04?\", \"40 minutes\"], [\"what did I watch on tv on 2017/01/04?\", \"a tv series\"], [\"Did I watch tv on 2017/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/05\": {\"lunch\": {\"eid\": \"e4541\", \"logical_representation\": [\"2017/01/05\", \"lunch\", \"sushi\", \"Avery, Benjamin\"], \"text_template_based\": \"I had lunch with Avery, Benjamin. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/01/05?\", \"Avery, Benjamin\"], [\"what did I eat for lunch on 2017/01/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4542\", \"logical_representation\": [\"2017/01/05\", \"dinner\", \"pasta\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4543\", \"logical_representation\": [\"2017/01/05\", \"Olivia\", \"in the early evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Olivia for 37 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2017/01/05?\", \"37 minutes\"], [\"who did I talk to on 2017/01/05?\", \"Olivia\"], [\"Did I talk to Olivia on 2017/01/05?\", \"yes\"], [\"Did I talk to anyone on 2017/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/06\": {\"watch tv\": {\"eid\": \"e4544\", \"logical_representation\": [\"2017/01/06\", \"a tv series\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/06?\", \"30 minutes\"], [\"what did I watch on tv on 2017/01/06?\", \"a tv series\"], [\"Did I watch tv on 2017/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/08\": {\"breakfast\": {\"eid\": \"e4546\", \"logical_representation\": [\"2017/01/08\", \"breakfast\", \"pancakes\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Carter, Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/01/08?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for breakfast on 2017/01/08\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4547\", \"logical_representation\": [\"2017/01/08\", \"Eva\", \"in the early afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Eva for 14 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2017/01/08?\", \"14 minutes\"], [\"who did I talk to on 2017/01/08?\", \"Eva\"], [\"Did I talk to Eva on 2017/01/08?\", \"yes\"], [\"Did I talk to anyone on 2017/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/09\": {\"read\": {\"eid\": \"e4548\", \"logical_representation\": [\"2017/01/09\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/01/09?\", \"28 minutes\"], [\"what did I read on 2017/01/09?\", \"news\"], [\"Did I read on 2017/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4549\", \"logical_representation\": [\"2017/01/09\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I watched a documentary for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/09?\", \"7 minutes\"], [\"what did I watch on tv on 2017/01/09?\", \"a documentary\"], [\"Did I watch tv on 2017/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/11\": {\"lunch\": {\"eid\": \"e4552\", \"logical_representation\": [\"2017/01/11\", \"lunch\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/01/11?\", \"Andrew\"], [\"what did I eat for lunch on 2017/01/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4553\", \"logical_representation\": [\"2017/01/11\", \"social media\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/01/11?\", \"39 minutes\"], [\"what did I read on 2017/01/11?\", \"social media\"], [\"Did I read on 2017/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/12\": {\"dinner\": {\"eid\": \"e4554\", \"logical_representation\": [\"2017/01/12\", \"dinner\", \"chinese food\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4555\", \"logical_representation\": [\"2017/01/12\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/01/12?\", \"17 minutes\"], [\"what did I read on 2017/01/12?\", \"news\"], [\"Did I read on 2017/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/16\": {\"lunch\": {\"eid\": \"e4562\", \"logical_representation\": [\"2017/01/16\", \"lunch\", \"a burger\", \"Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/16\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2017/01/17\": {\"exercise\": {\"eid\": \"e4563\", \"logical_representation\": [\"2017/01/17\", \"running\"], \"text_template_based\": \"I did running on 2017/01/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/17?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4564\", \"logical_representation\": [\"2017/01/17\", \"dinner\", \"tacos\", \"Piper, Hazel, Eva, Olivia, Claire\"], \"text_template_based\": \"I had tacos for dinner with Piper, Hazel, Eva, Olivia, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/01/17?\", \"Piper, Hazel, Eva, Olivia, Claire\"], [\"what did I eat for dinner on 2017/01/17\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2017/01/18\": {\"exercise\": {\"eid\": \"e4565\", \"logical_representation\": [\"2017/01/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/01/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/01/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4566\", \"logical_representation\": [\"2017/01/18\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/18?\", \"11 minutes\"], [\"what did I watch on tv on 2017/01/18?\", \"a movie\"], [\"Did I watch tv on 2017/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/20\": {\"lunch\": {\"eid\": \"e4567\", \"logical_representation\": [\"2017/01/20\", \"lunch\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2017/01/21\": {\"breakfast\": {\"eid\": \"e4568\", \"logical_representation\": [\"2017/01/21\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/01/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2017/01/22\": {\"lunch\": {\"eid\": \"e4569\", \"logical_representation\": [\"2017/01/22\", \"lunch\", \"fish and chips\", \"Hazel, Rylee, Piper, Kinsley, Nevaeh, Claire, Avery, Piper, Lydia, Layla, Eva\"], \"text_template_based\": \"I had fish and chips for lunch with Hazel, Rylee, Piper, Kinsley, Nevaeh, Claire, Avery, Piper, Lydia, Layla, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/01/22?\", \"Hazel, Rylee, Piper, Kinsley, Nevaeh, Claire, Avery, Piper, Lydia, Layla, Eva\"], [\"what did I eat for lunch on 2017/01/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2017/01/23\": {\"lunch\": {\"eid\": \"e4570\", \"logical_representation\": [\"2017/01/23\", \"lunch\", \"tacos\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4571\", \"logical_representation\": [\"2017/01/23\", \"dinner\", \"a burger\", \"Piper, Kinsley\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/01/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4572\", \"logical_representation\": [\"2017/01/23\", \"Kinsley, Avery\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Kinsley, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery in the late afternoon on 2017/01/23?\", \"48 minutes\"], [\"who did I talk to on 2017/01/23?\", \"Kinsley, Avery\"], [\"Did I talk to Kinsley, Avery on 2017/01/23?\", \"yes\"], [\"Did I talk to anyone on 2017/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4573\", \"logical_representation\": [\"2017/01/23\", \"a book\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/01/23?\", \"31 minutes\"], [\"what did I read on 2017/01/23?\", \"a book\"], [\"Did I read on 2017/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/27\": {\"lunch\": {\"eid\": \"e4580\", \"logical_representation\": [\"2017/01/27\", \"lunch\", \"tacos\", \"Olivia, Piper, Rylee, Nora, Lydia, Claire, Hazel, Nevaeh, Layla, Eva\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/27\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2017/01/29\": {\"watch tv\": {\"eid\": \"e4582\", \"logical_representation\": [\"2017/01/29\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I watched a documentary for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/01/29?\", \"40 minutes\"], [\"what did I watch on tv on 2017/01/29?\", \"a documentary\"], [\"Did I watch tv on 2017/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/01/31\": {\"lunch\": {\"eid\": \"e4583\", \"logical_representation\": [\"2017/01/31\", \"lunch\", \"sushi\", \"Eva, Hazel, Olivia, Piper\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/01/31\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4584\", \"logical_representation\": [\"2017/01/31\", \"Avery, Hazel, Rylee\", \"late in the evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Avery, Hazel, Rylee for 48 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Rylee late in the evening on 2017/01/31?\", \"48 minutes\"], [\"who did I talk to on 2017/01/31?\", \"Avery, Hazel, Rylee\"], [\"Did I talk to Avery, Hazel, Rylee on 2017/01/31?\", \"yes\"], [\"Did I talk to anyone on 2017/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/02\": {\"dinner\": {\"eid\": \"e4585\", \"logical_representation\": [\"2017/02/02\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/02/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4586\", \"logical_representation\": [\"2017/02/02\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/02/02?\", \"52 minutes\"], [\"what did I read on 2017/02/02?\", \"social media\"], [\"Did I read on 2017/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4587\", \"logical_representation\": [\"2017/02/02\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I watched a movie for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/02?\", \"17 minutes\"], [\"what did I watch on tv on 2017/02/02?\", \"a movie\"], [\"Did I watch tv on 2017/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/03\": {\"breakfast\": {\"eid\": \"e4588\", \"logical_representation\": [\"2017/02/03\", \"breakfast\", \"toast and cheese\", \"Olivia, Piper, Nevaeh, Rylee\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4589\", \"logical_representation\": [\"2017/02/03\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/02/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4590\", \"logical_representation\": [\"2017/02/03\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/03?\", \"50 minutes\"], [\"what did I watch on tv on 2017/02/03?\", \"a tv series\"], [\"Did I watch tv on 2017/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/04\": {\"lunch\": {\"eid\": \"e4591\", \"logical_representation\": [\"2017/02/04\", \"lunch\", \"pasta\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had lunch with Avery, Benjamin, Willow. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/02/04?\", \"Avery, Benjamin, Willow\"], [\"what did I eat for lunch on 2017/02/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4592\", \"logical_representation\": [\"2017/02/04\", \"a documentary\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/04?\", \"19 minutes\"], [\"what did I watch on tv on 2017/02/04?\", \"a documentary\"], [\"Did I watch tv on 2017/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/05\": {\"read\": {\"eid\": \"e4593\", \"logical_representation\": [\"2017/02/05\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/02/05?\", \"30 minutes\"], [\"what did I read on 2017/02/05?\", \"a book\"], [\"Did I read on 2017/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/06\": {\"watch tv\": {\"eid\": \"e4594\", \"logical_representation\": [\"2017/02/06\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/06?\", \"41 minutes\"], [\"what did I watch on tv on 2017/02/06?\", \"a movie\"], [\"Did I watch tv on 2017/02/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/07\": {\"chat0\": {\"eid\": \"e4595\", \"logical_representation\": [\"2017/02/07\", \"Claire, Lydia\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Claire, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia in the late afternoon on 2017/02/07?\", \"44 minutes\"], [\"who did I talk to on 2017/02/07?\", \"Claire, Lydia\"], [\"Did I talk to Claire, Lydia on 2017/02/07?\", \"yes\"], [\"Did I talk to anyone on 2017/02/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/08\": {\"exercise\": {\"eid\": \"e4596\", \"logical_representation\": [\"2017/02/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/02/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4597\", \"logical_representation\": [\"2017/02/08\", \"dinner\", \"sandwich\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/02/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4598\", \"logical_representation\": [\"2017/02/08\", \"Claire, Nora, Eva\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Claire, Nora, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Eva in the late afternoon on 2017/02/08?\", \"32 minutes\"], [\"who did I talk to on 2017/02/08?\", \"Claire, Nora, Eva\"], [\"Did I talk to Claire, Nora, Eva on 2017/02/08?\", \"yes\"], [\"Did I talk to anyone on 2017/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4599\", \"logical_representation\": [\"2017/02/08\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I watched a tv series for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/08?\", \"55 minutes\"], [\"what did I watch on tv on 2017/02/08?\", \"a tv series\"], [\"Did I watch tv on 2017/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/09\": {\"breakfast\": {\"eid\": \"e4600\", \"logical_representation\": [\"2017/02/09\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/09\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2017/02/10\": {\"exercise\": {\"eid\": \"e4601\", \"logical_representation\": [\"2017/02/10\", \"biking\"], \"text_template_based\": \"I did biking on 2017/02/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4602\", \"logical_representation\": [\"2017/02/10\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/02/10?\", \"28 minutes\"], [\"what did I read on 2017/02/10?\", \"social media\"], [\"Did I read on 2017/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/12\": {\"exercise\": {\"eid\": \"e4604\", \"logical_representation\": [\"2017/02/12\", \"biking\"], \"text_template_based\": \"I did biking on 2017/02/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/12?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4605\", \"logical_representation\": [\"2017/02/12\", \"Nora, Avery\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Nora, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery during lunch hours on 2017/02/12?\", \"36 minutes\"], [\"who did I talk to on 2017/02/12?\", \"Nora, Avery\"], [\"Did I talk to Nora, Avery on 2017/02/12?\", \"yes\"], [\"Did I talk to anyone on 2017/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/13\": {\"lunch\": {\"eid\": \"e4606\", \"logical_representation\": [\"2017/02/13\", \"lunch\", \"fish and chips\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had fish and chips for lunch with Carter, Kayden, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/02/13?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for lunch on 2017/02/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4607\", \"logical_representation\": [\"2017/02/13\", \"Kinsley, Nevaeh, Piper\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nevaeh, Piper for 6 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh, Piper late in the evening on 2017/02/13?\", \"6 minutes\"], [\"who did I talk to on 2017/02/13?\", \"Kinsley, Nevaeh, Piper\"], [\"Did I talk to Kinsley, Nevaeh, Piper on 2017/02/13?\", \"yes\"], [\"Did I talk to anyone on 2017/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/14\": {\"watch tv\": {\"eid\": \"e4608\", \"logical_representation\": [\"2017/02/14\", \"a documentary\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/14?\", \"19 minutes\"], [\"what did I watch on tv on 2017/02/14?\", \"a documentary\"], [\"Did I watch tv on 2017/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/15\": {\"chat0\": {\"eid\": \"e4609\", \"logical_representation\": [\"2017/02/15\", \"Rylee\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2017/02/15?\", \"48 minutes\"], [\"who did I talk to on 2017/02/15?\", \"Rylee\"], [\"Did I talk to Rylee on 2017/02/15?\", \"yes\"], [\"Did I talk to anyone on 2017/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4610\", \"logical_representation\": [\"2017/02/15\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/15?\", \"25 minutes\"], [\"what did I watch on tv on 2017/02/15?\", \"a movie\"], [\"Did I watch tv on 2017/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/16\": {\"lunch\": {\"eid\": \"e4611\", \"logical_representation\": [\"2017/02/16\", \"lunch\", \"indian food\", \"Jackson, Willow\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/02/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4612\", \"logical_representation\": [\"2017/02/16\", \"a movie\", \"9 minutes\"], \"text_template_based\": \"I watched a movie for 9 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/16?\", \"9 minutes\"], [\"what did I watch on tv on 2017/02/16?\", \"a movie\"], [\"Did I watch tv on 2017/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/19\": {\"breakfast\": {\"eid\": \"e4615\", \"logical_representation\": [\"2017/02/19\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2017/02/20\": {\"social media\": {\"eid\": \"e4616\", \"logical_representation\": [\"2017/02/20\", \"social media\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/02/20?\", \"40 minutes\"], [\"what did I read on 2017/02/20?\", \"social media\"], [\"Did I read on 2017/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/21\": {\"lunch\": {\"eid\": \"e4617\", \"logical_representation\": [\"2017/02/21\", \"lunch\", \"tacos\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had tacos for lunch with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/02/21?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2017/02/21\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2017/02/22\": {\"watch tv\": {\"eid\": \"e4618\", \"logical_representation\": [\"2017/02/22\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/22?\", \"10 minutes\"], [\"what did I watch on tv on 2017/02/22?\", \"a tv series\"], [\"Did I watch tv on 2017/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/24\": {\"breakfast\": {\"eid\": \"e4619\", \"logical_representation\": [\"2017/02/24\", \"breakfast\", \"pancakes\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/25\": {\"lunch\": {\"eid\": \"e4620\", \"logical_representation\": [\"2017/02/25\", \"lunch\", \"chinese food\", \"Carter, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Andrew. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/02/25?\", \"Carter, Andrew\"], [\"what did I eat for lunch on 2017/02/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4621\", \"logical_representation\": [\"2017/02/25\", \"Nora\", \"late in the evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2017/02/25?\", \"44 minutes\"], [\"who did I talk to on 2017/02/25?\", \"Nora\"], [\"Did I talk to Nora on 2017/02/25?\", \"yes\"], [\"Did I talk to anyone on 2017/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/02/26\": {\"breakfast\": {\"eid\": \"e4622\", \"logical_representation\": [\"2017/02/26\", \"breakfast\", \"cereals\", \"Lydia, Piper, Hazel, Olivia, Nora, Eva, Claire, Layla\"], \"text_template_based\": \"I had breakfast with Lydia, Piper, Hazel, Olivia, Nora, Eva, Claire, Layla. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/02/26?\", \"Lydia, Piper, Hazel, Olivia, Nora, Eva, Claire, Layla\"], [\"what did I eat for breakfast on 2017/02/26\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2017/02/27\": {\"breakfast\": {\"eid\": \"e4623\", \"logical_representation\": [\"2017/02/27\", \"breakfast\", \"oatmeal\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/02/27?\", \"Andrew\"], [\"what did I eat for breakfast on 2017/02/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4624\", \"logical_representation\": [\"2017/02/27\", \"dinner\", \"pasta\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/02/27\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2017/02/28\": {\"exercise\": {\"eid\": \"e4625\", \"logical_representation\": [\"2017/02/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/02/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/02/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4626\", \"logical_representation\": [\"2017/02/28\", \"breakfast\", \"cereals\", \"Carter, Kayden\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/02/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4627\", \"logical_representation\": [\"2017/02/28\", \"news\", \"52 minutes\"], \"text_template_based\": \"I watched news for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/02/28?\", \"52 minutes\"], [\"what did I watch on tv on 2017/02/28?\", \"news\"], [\"Did I watch tv on 2017/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/01\": {\"exercise\": {\"eid\": \"e4628\", \"logical_representation\": [\"2017/03/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/03/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2017/03/02\": {\"lunch\": {\"eid\": \"e4629\", \"logical_representation\": [\"2017/03/02\", \"lunch\", \"fish and chips\", \"Nevaeh, Piper, Eva\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/03/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4630\", \"logical_representation\": [\"2017/03/02\", \"dinner\", \"indian food\", \"Avery, Willow\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/02\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2017/03/03\": {\"breakfast\": {\"eid\": \"e4631\", \"logical_representation\": [\"2017/03/03\", \"breakfast\", \"toast and cheese\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/03/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4632\", \"logical_representation\": [\"2017/03/03\", \"dinner\", \"indian food\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4633\", \"logical_representation\": [\"2017/03/03\", \"Layla\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I talked to Layla for 54 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the morning on 2017/03/03?\", \"54 minutes\"], [\"who did I talk to on 2017/03/03?\", \"Layla\"], [\"Did I talk to Layla on 2017/03/03?\", \"yes\"], [\"Did I talk to anyone on 2017/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4634\", \"logical_representation\": [\"2017/03/03\", \"a tv series\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/03?\", \"29 minutes\"], [\"what did I watch on tv on 2017/03/03?\", \"a tv series\"], [\"Did I watch tv on 2017/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/04\": {\"chat0\": {\"eid\": \"e4635\", \"logical_representation\": [\"2017/03/04\", \"Nora, Piper\", \"late in the evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Nora, Piper for 35 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper late in the evening on 2017/03/04?\", \"35 minutes\"], [\"who did I talk to on 2017/03/04?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2017/03/04?\", \"yes\"], [\"Did I talk to anyone on 2017/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/18\": {\"chat0\": {\"eid\": \"e4650\", \"logical_representation\": [\"2017/03/18\", \"Avery\", \"in the late afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Avery for 5 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2017/03/18?\", \"5 minutes\"], [\"who did I talk to on 2017/03/18?\", \"Avery\"], [\"Did I talk to Avery on 2017/03/18?\", \"yes\"], [\"Did I talk to anyone on 2017/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/19\": {\"exercise\": {\"eid\": \"e4651\", \"logical_representation\": [\"2017/03/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/03/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4652\", \"logical_representation\": [\"2017/03/19\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/03/19?\", \"50 minutes\"], [\"what did I read on 2017/03/19?\", \"news\"], [\"Did I read on 2017/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/20\": {\"chat0\": {\"eid\": \"e4653\", \"logical_representation\": [\"2017/03/20\", \"Lydia, Hazel\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I talked to Lydia, Hazel for 55 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel during lunch hours on 2017/03/20?\", \"55 minutes\"], [\"who did I talk to on 2017/03/20?\", \"Lydia, Hazel\"], [\"Did I talk to Lydia, Hazel on 2017/03/20?\", \"yes\"], [\"Did I talk to anyone on 2017/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4654\", \"logical_representation\": [\"2017/03/20\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/03/20?\", \"50 minutes\"], [\"what did I watch on tv on 2017/03/20?\", \"a movie\"], [\"Did I watch tv on 2017/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/22\": {\"lunch\": {\"eid\": \"e4655\", \"logical_representation\": [\"2017/03/22\", \"lunch\", \"steak\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/03/22\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2017/03/23\": {\"chat0\": {\"eid\": \"e4656\", \"logical_representation\": [\"2017/03/23\", \"Nora, Avery, Nevaeh, Kinsley\", \"in the late afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Nora, Avery, Nevaeh, Kinsley for 35 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery, Nevaeh, Kinsley in the late afternoon on 2017/03/23?\", \"35 minutes\"], [\"who did I talk to on 2017/03/23?\", \"Nora, Avery, Nevaeh, Kinsley\"], [\"Did I talk to Nora, Avery, Nevaeh, Kinsley on 2017/03/23?\", \"yes\"], [\"Did I talk to anyone on 2017/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4657\", \"logical_representation\": [\"2017/03/23\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/03/23?\", \"19 minutes\"], [\"what did I read on 2017/03/23?\", \"a book\"], [\"Did I read on 2017/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/24\": {\"lunch\": {\"eid\": \"e4658\", \"logical_representation\": [\"2017/03/24\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/03/24\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4659\", \"logical_representation\": [\"2017/03/24\", \"dinner\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/24\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4660\", \"logical_representation\": [\"2017/03/24\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/03/24?\", \"33 minutes\"], [\"what did I read on 2017/03/24?\", \"social media\"], [\"Did I read on 2017/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/26\": {\"exercise\": {\"eid\": \"e4661\", \"logical_representation\": [\"2017/03/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/03/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4662\", \"logical_representation\": [\"2017/03/26\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/03/26?\", \"18 minutes\"], [\"what did I read on 2017/03/26?\", \"social media\"], [\"Did I read on 2017/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/03/27\": {\"dinner\": {\"eid\": \"e4663\", \"logical_representation\": [\"2017/03/27\", \"dinner\", \"sushi\", \"Benjamin\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/03/27\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2017/03/28\": {\"exercise\": {\"eid\": \"e4664\", \"logical_representation\": [\"2017/03/28\", \"running\"], \"text_template_based\": \"I did running on 2017/03/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/03/28?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2017/03/29\": {\"breakfast\": {\"eid\": \"e4665\", \"logical_representation\": [\"2017/03/29\", \"breakfast\", \"oatmeal\", \"Avery, Claire, Kinsley\"], \"text_template_based\": \"I had oatmeal for breakfast with Avery, Claire, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/03/29?\", \"Avery, Claire, Kinsley\"], [\"what did I eat for breakfast on 2017/03/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4666\", \"logical_representation\": [\"2017/03/29\", \"Piper\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I talked to Piper for 37 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2017/03/29?\", \"37 minutes\"], [\"who did I talk to on 2017/03/29?\", \"Piper\"], [\"Did I talk to Piper on 2017/03/29?\", \"yes\"], [\"Did I talk to anyone on 2017/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/01\": {\"lunch\": {\"eid\": \"e4671\", \"logical_representation\": [\"2017/04/01\", \"lunch\", \"fish and chips\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/04/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4672\", \"logical_representation\": [\"2017/04/01\", \"Nevaeh\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2017/04/01?\", \"17 minutes\"], [\"who did I talk to on 2017/04/01?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2017/04/01?\", \"yes\"], [\"Did I talk to anyone on 2017/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4673\", \"logical_representation\": [\"2017/04/01\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/04/01?\", \"8 minutes\"], [\"what did I read on 2017/04/01?\", \"a book\"], [\"Did I read on 2017/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/02\": {\"watch tv\": {\"eid\": \"e4674\", \"logical_representation\": [\"2017/04/02\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/02?\", \"39 minutes\"], [\"what did I watch on tv on 2017/04/02?\", \"news\"], [\"Did I watch tv on 2017/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/03\": {\"chat0\": {\"eid\": \"e4675\", \"logical_representation\": [\"2017/04/03\", \"Nora\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2017/04/03?\", \"19 minutes\"], [\"who did I talk to on 2017/04/03?\", \"Nora\"], [\"Did I talk to Nora on 2017/04/03?\", \"yes\"], [\"Did I talk to anyone on 2017/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4676\", \"logical_representation\": [\"2017/04/03\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/03?\", \"33 minutes\"], [\"what did I watch on tv on 2017/04/03?\", \"a tv series\"], [\"Did I watch tv on 2017/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/04\": {\"chat0\": {\"eid\": \"e4677\", \"logical_representation\": [\"2017/04/04\", \"Rylee, Eva\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I talked to Rylee, Eva for 47 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva during lunch hours on 2017/04/04?\", \"47 minutes\"], [\"who did I talk to on 2017/04/04?\", \"Rylee, Eva\"], [\"Did I talk to Rylee, Eva on 2017/04/04?\", \"yes\"], [\"Did I talk to anyone on 2017/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4678\", \"logical_representation\": [\"2017/04/04\", \"news\", \"44 minutes\"], \"text_template_based\": \"I watched news for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/04?\", \"44 minutes\"], [\"what did I watch on tv on 2017/04/04?\", \"news\"], [\"Did I watch tv on 2017/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/05\": {\"read\": {\"eid\": \"e4679\", \"logical_representation\": [\"2017/04/05\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/04/05?\", \"35 minutes\"], [\"what did I read on 2017/04/05?\", \"a book\"], [\"Did I read on 2017/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/06\": {\"dinner\": {\"eid\": \"e4680\", \"logical_representation\": [\"2017/04/06\", \"dinner\", \"tacos\", \"Carter, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/04/06?\", \"Carter, Kayden\"], [\"what did I eat for dinner on 2017/04/06\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2017/04/08\": {\"dinner\": {\"eid\": \"e4681\", \"logical_representation\": [\"2017/04/08\", \"dinner\", \"chinese food\", \"Rylee, Piper, Olivia\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/04/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4682\", \"logical_representation\": [\"2017/04/08\", \"Nora, Kinsley, Layla, Piper\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Nora, Kinsley, Layla, Piper for 48 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Layla, Piper in the early afternoon on 2017/04/08?\", \"48 minutes\"], [\"who did I talk to on 2017/04/08?\", \"Nora, Kinsley, Layla, Piper\"], [\"Did I talk to Nora, Kinsley, Layla, Piper on 2017/04/08?\", \"yes\"], [\"Did I talk to anyone on 2017/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4683\", \"logical_representation\": [\"2017/04/08\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/08?\", \"5 minutes\"], [\"what did I watch on tv on 2017/04/08?\", \"a movie\"], [\"Did I watch tv on 2017/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/09\": {\"chat0\": {\"eid\": \"e4684\", \"logical_representation\": [\"2017/04/09\", \"Kinsley, Rylee, Olivia\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I talked to Kinsley, Rylee, Olivia for 20 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Olivia in the morning on 2017/04/09?\", \"20 minutes\"], [\"who did I talk to on 2017/04/09?\", \"Kinsley, Rylee, Olivia\"], [\"Did I talk to Kinsley, Rylee, Olivia on 2017/04/09?\", \"yes\"], [\"Did I talk to anyone on 2017/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/11\": {\"chat0\": {\"eid\": \"e4685\", \"logical_representation\": [\"2017/04/11\", \"Eva\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I talked to Eva for 29 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2017/04/11?\", \"29 minutes\"], [\"who did I talk to on 2017/04/11?\", \"Eva\"], [\"Did I talk to Eva on 2017/04/11?\", \"yes\"], [\"Did I talk to anyone on 2017/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/12\": {\"lunch\": {\"eid\": \"e4686\", \"logical_representation\": [\"2017/04/12\", \"lunch\", \"a burger\", \"Jackson, Avery\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/04/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4687\", \"logical_representation\": [\"2017/04/12\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/12?\", \"33 minutes\"], [\"what did I watch on tv on 2017/04/12?\", \"news\"], [\"Did I watch tv on 2017/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/14\": {\"chat0\": {\"eid\": \"e4688\", \"logical_representation\": [\"2017/04/14\", \"Hazel, Rylee, Piper, Piper\", \"in the early afternoon\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Hazel, Rylee, Piper, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee, Piper, Piper in the early afternoon on 2017/04/14?\", \"14 minutes\"], [\"who did I talk to on 2017/04/14?\", \"Hazel, Rylee, Piper, Piper\"], [\"Did I talk to Hazel, Rylee, Piper, Piper on 2017/04/14?\", \"yes\"], [\"Did I talk to anyone on 2017/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/15\": {\"exercise\": {\"eid\": \"e4689\", \"logical_representation\": [\"2017/04/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/04/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2017/04/18\": {\"lunch\": {\"eid\": \"e4690\", \"logical_representation\": [\"2017/04/18\", \"lunch\", \"fish and chips\", \"Lydia, Hazel, Kinsley, Rylee, Layla, Nevaeh\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/04/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4691\", \"logical_representation\": [\"2017/04/18\", \"dinner\", \"sushi\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had sushi for dinner with Emily, Carter, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/04/18?\", \"Emily, Carter, Andrew, Kayden\"], [\"what did I eat for dinner on 2017/04/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4692\", \"logical_representation\": [\"2017/04/18\", \"Piper\", \"in the morning\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2017/04/18?\", \"12 minutes\"], [\"who did I talk to on 2017/04/18?\", \"Piper\"], [\"Did I talk to Piper on 2017/04/18?\", \"yes\"], [\"Did I talk to anyone on 2017/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4693\", \"logical_representation\": [\"2017/04/18\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/18?\", \"49 minutes\"], [\"what did I watch on tv on 2017/04/18?\", \"news\"], [\"Did I watch tv on 2017/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/19\": {\"exercise\": {\"eid\": \"e4694\", \"logical_representation\": [\"2017/04/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/04/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4695\", \"logical_representation\": [\"2017/04/19\", \"lunch\", \"indian food\", \"Nora, Claire, Kinsley, Avery, Nevaeh, Piper, Lydia, Layla, Hazel, Rylee, Piper, Olivia\"], \"text_template_based\": \"I had indian food for lunch with Nora, Claire, Kinsley, Avery, Nevaeh, Piper, Lydia, Layla, Hazel, Rylee, Piper, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/04/19?\", \"Nora, Claire, Kinsley, Avery, Nevaeh, Piper, Lydia, Layla, Hazel, Rylee, Piper, Olivia\"], [\"what did I eat for lunch on 2017/04/19\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2017/04/21\": {\"chat0\": {\"eid\": \"e4696\", \"logical_representation\": [\"2017/04/21\", \"Lydia, Rylee, Layla, Nevaeh\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Lydia, Rylee, Layla, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Layla, Nevaeh in the late afternoon on 2017/04/21?\", \"50 minutes\"], [\"who did I talk to on 2017/04/21?\", \"Lydia, Rylee, Layla, Nevaeh\"], [\"Did I talk to Lydia, Rylee, Layla, Nevaeh on 2017/04/21?\", \"yes\"], [\"Did I talk to anyone on 2017/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/22\": {\"breakfast\": {\"eid\": \"e4697\", \"logical_representation\": [\"2017/04/22\", \"breakfast\", \"toast and cheese\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/04/22\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4698\", \"logical_representation\": [\"2017/04/22\", \"Claire, Nora\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Claire, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora in the early evening on 2017/04/22?\", \"34 minutes\"], [\"who did I talk to on 2017/04/22?\", \"Claire, Nora\"], [\"Did I talk to Claire, Nora on 2017/04/22?\", \"yes\"], [\"Did I talk to anyone on 2017/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/24\": {\"exercise\": {\"eid\": \"e4701\", \"logical_representation\": [\"2017/04/24\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/04/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/24?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4702\", \"logical_representation\": [\"2017/04/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Kinsley, Piper, Eva, Nora, Hazel, Lydia\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/04/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2017/04/25\": {\"breakfast\": {\"eid\": \"e4703\", \"logical_representation\": [\"2017/04/25\", \"breakfast\", \"oatmeal\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/04/25\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4704\", \"logical_representation\": [\"2017/04/25\", \"Eva\", \"in the morning\", \"42 minutes\"], \"text_template_based\": \"I talked to Eva for 42 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the morning on 2017/04/25?\", \"42 minutes\"], [\"who did I talk to on 2017/04/25?\", \"Eva\"], [\"Did I talk to Eva on 2017/04/25?\", \"yes\"], [\"Did I talk to anyone on 2017/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4705\", \"logical_representation\": [\"2017/04/25\", \"social media\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/04/25?\", \"55 minutes\"], [\"what did I read on 2017/04/25?\", \"social media\"], [\"Did I read on 2017/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/26\": {\"chat0\": {\"eid\": \"e4706\", \"logical_representation\": [\"2017/04/26\", \"Piper, Kinsley, Nora, Hazel\", \"in the early evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Piper, Kinsley, Nora, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Nora, Hazel in the early evening on 2017/04/26?\", \"44 minutes\"], [\"who did I talk to on 2017/04/26?\", \"Piper, Kinsley, Nora, Hazel\"], [\"Did I talk to Piper, Kinsley, Nora, Hazel on 2017/04/26?\", \"yes\"], [\"Did I talk to anyone on 2017/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4707\", \"logical_representation\": [\"2017/04/26\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/04/26?\", \"52 minutes\"], [\"what did I read on 2017/04/26?\", \"a book\"], [\"Did I read on 2017/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4708\", \"logical_representation\": [\"2017/04/26\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/26?\", \"23 minutes\"], [\"what did I watch on tv on 2017/04/26?\", \"news\"], [\"Did I watch tv on 2017/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/27\": {\"chat0\": {\"eid\": \"e4709\", \"logical_representation\": [\"2017/04/27\", \"Nevaeh, Piper, Hazel\", \"in the morning\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nevaeh, Piper, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Hazel in the morning on 2017/04/27?\", \"29 minutes\"], [\"who did I talk to on 2017/04/27?\", \"Nevaeh, Piper, Hazel\"], [\"Did I talk to Nevaeh, Piper, Hazel on 2017/04/27?\", \"yes\"], [\"Did I talk to anyone on 2017/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/28\": {\"dinner\": {\"eid\": \"e4710\", \"logical_representation\": [\"2017/04/28\", \"dinner\", \"fish and chips\", \"Nevaeh, Kinsley, Avery, Claire, Hazel, Piper, Rylee, Lydia, Nora\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/04/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4711\", \"logical_representation\": [\"2017/04/28\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/04/28?\", \"52 minutes\"], [\"what did I watch on tv on 2017/04/28?\", \"a documentary\"], [\"Did I watch tv on 2017/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/04/29\": {\"lunch\": {\"eid\": \"e4712\", \"logical_representation\": [\"2017/04/29\", \"lunch\", \"a burger\", \"Rylee\"], \"text_template_based\": \"I had a burger for lunch with Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/04/29?\", \"Rylee\"], [\"what did I eat for lunch on 2017/04/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4713\", \"logical_representation\": [\"2017/04/29\", \"dinner\", \"pasta\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/04/29\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2017/04/30\": {\"exercise\": {\"eid\": \"e4714\", \"logical_representation\": [\"2017/04/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/04/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/04/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2017/05/01\": {\"exercise\": {\"eid\": \"e4715\", \"logical_representation\": [\"2017/05/01\", \"running\"], \"text_template_based\": \"I did running on 2017/05/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/05/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4716\", \"logical_representation\": [\"2017/05/01\", \"Avery\", \"in the early evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2017/05/01?\", \"36 minutes\"], [\"who did I talk to on 2017/05/01?\", \"Avery\"], [\"Did I talk to Avery on 2017/05/01?\", \"yes\"], [\"Did I talk to anyone on 2017/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4717\", \"logical_representation\": [\"2017/05/01\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/05/01?\", \"7 minutes\"], [\"what did I read on 2017/05/01?\", \"a book\"], [\"Did I read on 2017/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/02\": {\"exercise\": {\"eid\": \"e4718\", \"logical_representation\": [\"2017/05/02\", \"running\"], \"text_template_based\": \"I did running on 2017/05/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/05/02?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4719\", \"logical_representation\": [\"2017/05/02\", \"Lydia, Piper, Nevaeh, Olivia\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Lydia, Piper, Nevaeh, Olivia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Nevaeh, Olivia in the morning on 2017/05/02?\", \"14 minutes\"], [\"who did I talk to on 2017/05/02?\", \"Lydia, Piper, Nevaeh, Olivia\"], [\"Did I talk to Lydia, Piper, Nevaeh, Olivia on 2017/05/02?\", \"yes\"], [\"Did I talk to anyone on 2017/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4720\", \"logical_representation\": [\"2017/05/02\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/05/02?\", \"12 minutes\"], [\"what did I read on 2017/05/02?\", \"a book\"], [\"Did I read on 2017/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/03\": {\"breakfast\": {\"eid\": \"e4721\", \"logical_representation\": [\"2017/05/03\", \"breakfast\", \"oatmeal\", \"Claire, Lydia, Layla, Avery, Nevaeh, Rylee, Hazel\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/05/03\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4722\", \"logical_representation\": [\"2017/05/03\", \"Lydia\", \"in the morning\", \"9 minutes\"], \"text_template_based\": \"I talked to Lydia for 9 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2017/05/03?\", \"9 minutes\"], [\"who did I talk to on 2017/05/03?\", \"Lydia\"], [\"Did I talk to Lydia on 2017/05/03?\", \"yes\"], [\"Did I talk to anyone on 2017/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/05\": {\"chat0\": {\"eid\": \"e4725\", \"logical_representation\": [\"2017/05/05\", \"Claire, Piper, Nora\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Nora for 20 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Nora during lunch hours on 2017/05/05?\", \"20 minutes\"], [\"who did I talk to on 2017/05/05?\", \"Claire, Piper, Nora\"], [\"Did I talk to Claire, Piper, Nora on 2017/05/05?\", \"yes\"], [\"Did I talk to anyone on 2017/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/07\": {\"lunch\": {\"eid\": \"e4726\", \"logical_representation\": [\"2017/05/07\", \"lunch\", \"a burger\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4727\", \"logical_representation\": [\"2017/05/07\", \"dinner\", \"pasta\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/05/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4728\", \"logical_representation\": [\"2017/05/07\", \"social media\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/05/07?\", \"41 minutes\"], [\"what did I read on 2017/05/07?\", \"social media\"], [\"Did I read on 2017/05/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/08\": {\"dinner\": {\"eid\": \"e4729\", \"logical_representation\": [\"2017/05/08\", \"dinner\", \"sushi\", \"Lydia, Avery, Layla, Claire, Rylee, Hazel, Olivia, Eva, Kinsley, Nevaeh\"], \"text_template_based\": \"I had dinner with Lydia, Avery, Layla, Claire, Rylee, Hazel, Olivia, Eva, Kinsley, Nevaeh. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/05/08?\", \"Lydia, Avery, Layla, Claire, Rylee, Hazel, Olivia, Eva, Kinsley, Nevaeh\"], [\"what did I eat for dinner on 2017/05/08\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4730\", \"logical_representation\": [\"2017/05/08\", \"Nora, Rylee, Piper\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Nora, Rylee, Piper for 17 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Piper in the early afternoon on 2017/05/08?\", \"17 minutes\"], [\"who did I talk to on 2017/05/08?\", \"Nora, Rylee, Piper\"], [\"Did I talk to Nora, Rylee, Piper on 2017/05/08?\", \"yes\"], [\"Did I talk to anyone on 2017/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/09\": {\"watch tv\": {\"eid\": \"e4731\", \"logical_representation\": [\"2017/05/09\", \"a tv series\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/09?\", \"36 minutes\"], [\"what did I watch on tv on 2017/05/09?\", \"a tv series\"], [\"Did I watch tv on 2017/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/10\": {\"exercise\": {\"eid\": \"e4732\", \"logical_representation\": [\"2017/05/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/05/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/05/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2017/05/11\": {\"chat0\": {\"eid\": \"e4733\", \"logical_representation\": [\"2017/05/11\", \"Claire, Rylee, Hazel, Layla\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Claire, Rylee, Hazel, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Hazel, Layla in the early afternoon on 2017/05/11?\", \"45 minutes\"], [\"who did I talk to on 2017/05/11?\", \"Claire, Rylee, Hazel, Layla\"], [\"Did I talk to Claire, Rylee, Hazel, Layla on 2017/05/11?\", \"yes\"], [\"Did I talk to anyone on 2017/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/12\": {\"dinner\": {\"eid\": \"e4734\", \"logical_representation\": [\"2017/05/12\", \"dinner\", \"sandwich\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had sandwich for dinner with Andrew, Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/05/12?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for dinner on 2017/05/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2017/05/13\": {\"breakfast\": {\"eid\": \"e4735\", \"logical_representation\": [\"2017/05/13\", \"breakfast\", \"cereals\", \"Nevaeh, Rylee, Piper, Layla, Olivia, Kinsley, Lydia, Piper, Nora\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/05/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4736\", \"logical_representation\": [\"2017/05/13\", \"lunch\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2017/05/15\": {\"lunch\": {\"eid\": \"e4737\", \"logical_representation\": [\"2017/05/15\", \"lunch\", \"indian food\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4738\", \"logical_representation\": [\"2017/05/15\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/15?\", \"11 minutes\"], [\"what did I watch on tv on 2017/05/15?\", \"a movie\"], [\"Did I watch tv on 2017/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/21\": {\"breakfast\": {\"eid\": \"e4742\", \"logical_representation\": [\"2017/05/21\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/05/21?\", \"Carter\"], [\"what did I eat for breakfast on 2017/05/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4743\", \"logical_representation\": [\"2017/05/21\", \"lunch\", \"sandwich\", \"Rylee, Olivia, Eva, Piper, Nevaeh, Nora, Kinsley\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/05/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4744\", \"logical_representation\": [\"2017/05/21\", \"dinner\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/05/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2017/05/22\": {\"exercise\": {\"eid\": \"e4745\", \"logical_representation\": [\"2017/05/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/05/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/05/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4746\", \"logical_representation\": [\"2017/05/22\", \"Piper, Rylee, Hazel\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee, Hazel for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Hazel in the early afternoon on 2017/05/22?\", \"7 minutes\"], [\"who did I talk to on 2017/05/22?\", \"Piper, Rylee, Hazel\"], [\"Did I talk to Piper, Rylee, Hazel on 2017/05/22?\", \"yes\"], [\"Did I talk to anyone on 2017/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4747\", \"logical_representation\": [\"2017/05/22\", \"a documentary\", \"21 minutes\"], \"text_template_based\": \"I watched a documentary for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/22?\", \"21 minutes\"], [\"what did I watch on tv on 2017/05/22?\", \"a documentary\"], [\"Did I watch tv on 2017/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/23\": {\"chat0\": {\"eid\": \"e4748\", \"logical_representation\": [\"2017/05/23\", \"Olivia, Layla, Eva\", \"in the early evening\", \"40 minutes\"], \"text_template_based\": \"I talked to Olivia, Layla, Eva for 40 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Eva in the early evening on 2017/05/23?\", \"40 minutes\"], [\"who did I talk to on 2017/05/23?\", \"Olivia, Layla, Eva\"], [\"Did I talk to Olivia, Layla, Eva on 2017/05/23?\", \"yes\"], [\"Did I talk to anyone on 2017/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/24\": {\"watch tv\": {\"eid\": \"e4749\", \"logical_representation\": [\"2017/05/24\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/24?\", \"14 minutes\"], [\"what did I watch on tv on 2017/05/24?\", \"news\"], [\"Did I watch tv on 2017/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/25\": {\"chat0\": {\"eid\": \"e4750\", \"logical_representation\": [\"2017/05/25\", \"Layla, Avery\", \"in the early afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Layla, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery in the early afternoon on 2017/05/25?\", \"24 minutes\"], [\"who did I talk to on 2017/05/25?\", \"Layla, Avery\"], [\"Did I talk to Layla, Avery on 2017/05/25?\", \"yes\"], [\"Did I talk to anyone on 2017/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/30\": {\"breakfast\": {\"eid\": \"e4753\", \"logical_representation\": [\"2017/05/30\", \"breakfast\", \"peanut-butter-jam\", \"Nora, Olivia, Piper, Eva, Hazel, Kinsley\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/05/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4754\", \"logical_representation\": [\"2017/05/30\", \"lunch\", \"steak\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had lunch with Benjamin, Avery, Jackson. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/05/30?\", \"Benjamin, Avery, Jackson\"], [\"what did I eat for lunch on 2017/05/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4755\", \"logical_representation\": [\"2017/05/30\", \"social media\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/05/30?\", \"41 minutes\"], [\"what did I read on 2017/05/30?\", \"social media\"], [\"Did I read on 2017/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/05/31\": {\"dinner\": {\"eid\": \"e4756\", \"logical_representation\": [\"2017/05/31\", \"dinner\", \"indian food\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Emily, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/05/31?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2017/05/31\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4757\", \"logical_representation\": [\"2017/05/31\", \"Piper\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I talked to Piper for 7 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2017/05/31?\", \"7 minutes\"], [\"who did I talk to on 2017/05/31?\", \"Piper\"], [\"Did I talk to Piper on 2017/05/31?\", \"yes\"], [\"Did I talk to anyone on 2017/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4758\", \"logical_representation\": [\"2017/05/31\", \"a movie\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/05/31?\", \"32 minutes\"], [\"what did I watch on tv on 2017/05/31?\", \"a movie\"], [\"Did I watch tv on 2017/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/02\": {\"breakfast\": {\"eid\": \"e4762\", \"logical_representation\": [\"2017/06/02\", \"breakfast\", \"toast and cheese\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/06/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4763\", \"logical_representation\": [\"2017/06/02\", \"dinner\", \"fish and chips\", \"Jackson, Avery\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/06/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4764\", \"logical_representation\": [\"2017/06/02\", \"a tv series\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/02?\", \"19 minutes\"], [\"what did I watch on tv on 2017/06/02?\", \"a tv series\"], [\"Did I watch tv on 2017/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/03\": {\"chat0\": {\"eid\": \"e4765\", \"logical_representation\": [\"2017/06/03\", \"Eva, Layla\", \"in the late afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Eva, Layla for 8 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla in the late afternoon on 2017/06/03?\", \"8 minutes\"], [\"who did I talk to on 2017/06/03?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2017/06/03?\", \"yes\"], [\"Did I talk to anyone on 2017/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4766\", \"logical_representation\": [\"2017/06/03\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/06/03?\", \"7 minutes\"], [\"what did I read on 2017/06/03?\", \"social media\"], [\"Did I read on 2017/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4767\", \"logical_representation\": [\"2017/06/03\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I watched a documentary for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/03?\", \"23 minutes\"], [\"what did I watch on tv on 2017/06/03?\", \"a documentary\"], [\"Did I watch tv on 2017/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/06\": {\"chat0\": {\"eid\": \"e4769\", \"logical_representation\": [\"2017/06/06\", \"Eva, Rylee\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee for 11 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee during lunch hours on 2017/06/06?\", \"11 minutes\"], [\"who did I talk to on 2017/06/06?\", \"Eva, Rylee\"], [\"Did I talk to Eva, Rylee on 2017/06/06?\", \"yes\"], [\"Did I talk to anyone on 2017/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/07\": {\"exercise\": {\"eid\": \"e4770\", \"logical_representation\": [\"2017/06/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/06/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4771\", \"logical_representation\": [\"2017/06/07\", \"Lydia\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I talked to Lydia for 38 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early evening on 2017/06/07?\", \"38 minutes\"], [\"who did I talk to on 2017/06/07?\", \"Lydia\"], [\"Did I talk to Lydia on 2017/06/07?\", \"yes\"], [\"Did I talk to anyone on 2017/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/09\": {\"exercise\": {\"eid\": \"e4772\", \"logical_representation\": [\"2017/06/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/06/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4773\", \"logical_representation\": [\"2017/06/09\", \"breakfast\", \"cereals\", \"Jackson\"], \"text_template_based\": \"I had cereals for breakfast with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/06/09?\", \"Jackson\"], [\"what did I eat for breakfast on 2017/06/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4774\", \"logical_representation\": [\"2017/06/09\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/06/09?\", \"12 minutes\"], [\"what did I read on 2017/06/09?\", \"news\"], [\"Did I read on 2017/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/10\": {\"watch tv\": {\"eid\": \"e4775\", \"logical_representation\": [\"2017/06/10\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/10?\", \"19 minutes\"], [\"what did I watch on tv on 2017/06/10?\", \"a movie\"], [\"Did I watch tv on 2017/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/11\": {\"chat0\": {\"eid\": \"e4776\", \"logical_representation\": [\"2017/06/11\", \"Piper, Hazel\", \"in the early afternoon\", \"16 minutes\"], \"text_template_based\": \"I talked to Piper, Hazel for 16 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel in the early afternoon on 2017/06/11?\", \"16 minutes\"], [\"who did I talk to on 2017/06/11?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2017/06/11?\", \"yes\"], [\"Did I talk to anyone on 2017/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/12\": {\"exercise\": {\"eid\": \"e4777\", \"logical_representation\": [\"2017/06/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/06/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4778\", \"logical_representation\": [\"2017/06/12\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/06/12?\", \"16 minutes\"], [\"what did I read on 2017/06/12?\", \"news\"], [\"Did I read on 2017/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/13\": {\"exercise\": {\"eid\": \"e4779\", \"logical_representation\": [\"2017/06/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/06/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2017/06/14\": {\"chat0\": {\"eid\": \"e4780\", \"logical_representation\": [\"2017/06/14\", \"Kinsley, Layla, Piper\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Kinsley, Layla, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Piper in the late afternoon on 2017/06/14?\", \"53 minutes\"], [\"who did I talk to on 2017/06/14?\", \"Kinsley, Layla, Piper\"], [\"Did I talk to Kinsley, Layla, Piper on 2017/06/14?\", \"yes\"], [\"Did I talk to anyone on 2017/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/15\": {\"lunch\": {\"eid\": \"e4781\", \"logical_representation\": [\"2017/06/15\", \"lunch\", \"a burger\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Andrew, Carter, Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/06/15?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for lunch on 2017/06/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4782\", \"logical_representation\": [\"2017/06/15\", \"Claire, Avery, Nora\", \"during lunch hours\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Claire, Avery, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Nora during lunch hours on 2017/06/15?\", \"19 minutes\"], [\"who did I talk to on 2017/06/15?\", \"Claire, Avery, Nora\"], [\"Did I talk to Claire, Avery, Nora on 2017/06/15?\", \"yes\"], [\"Did I talk to anyone on 2017/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/16\": {\"breakfast\": {\"eid\": \"e4783\", \"logical_representation\": [\"2017/06/16\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Rylee, Olivia\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/06/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4784\", \"logical_representation\": [\"2017/06/16\", \"lunch\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had indian food for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/06/16?\", \"Emily\"], [\"what did I eat for lunch on 2017/06/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4785\", \"logical_representation\": [\"2017/06/16\", \"Avery, Nevaeh, Piper, Olivia\", \"during lunch hours\", \"52 minutes\"], \"text_template_based\": \"I talked to Avery, Nevaeh, Piper, Olivia for 52 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh, Piper, Olivia during lunch hours on 2017/06/16?\", \"52 minutes\"], [\"who did I talk to on 2017/06/16?\", \"Avery, Nevaeh, Piper, Olivia\"], [\"Did I talk to Avery, Nevaeh, Piper, Olivia on 2017/06/16?\", \"yes\"], [\"Did I talk to anyone on 2017/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/18\": {\"dinner\": {\"eid\": \"e4787\", \"logical_representation\": [\"2017/06/18\", \"dinner\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had sushi for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/06/18?\", \"Emily\"], [\"what did I eat for dinner on 2017/06/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4788\", \"logical_representation\": [\"2017/06/18\", \"Avery, Eva, Nevaeh, Claire\", \"in the late afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Avery, Eva, Nevaeh, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Nevaeh, Claire in the late afternoon on 2017/06/18?\", \"53 minutes\"], [\"who did I talk to on 2017/06/18?\", \"Avery, Eva, Nevaeh, Claire\"], [\"Did I talk to Avery, Eva, Nevaeh, Claire on 2017/06/18?\", \"yes\"], [\"Did I talk to anyone on 2017/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/19\": {\"exercise\": {\"eid\": \"e4789\", \"logical_representation\": [\"2017/06/19\", \"running\"], \"text_template_based\": \"I did running on 2017/06/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/19?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2017/06/20\": {\"chat0\": {\"eid\": \"e4790\", \"logical_representation\": [\"2017/06/20\", \"Avery, Eva, Rylee\", \"in the early afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Avery, Eva, Rylee for 39 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Rylee in the early afternoon on 2017/06/20?\", \"39 minutes\"], [\"who did I talk to on 2017/06/20?\", \"Avery, Eva, Rylee\"], [\"Did I talk to Avery, Eva, Rylee on 2017/06/20?\", \"yes\"], [\"Did I talk to anyone on 2017/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4791\", \"logical_representation\": [\"2017/06/20\", \"a documentary\", \"21 minutes\"], \"text_template_based\": \"I watched a documentary for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/20?\", \"21 minutes\"], [\"what did I watch on tv on 2017/06/20?\", \"a documentary\"], [\"Did I watch tv on 2017/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/21\": {\"chat0\": {\"eid\": \"e4792\", \"logical_representation\": [\"2017/06/21\", \"Rylee, Piper, Piper\", \"during lunch hours\", \"30 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper, Piper for 30 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Piper during lunch hours on 2017/06/21?\", \"30 minutes\"], [\"who did I talk to on 2017/06/21?\", \"Rylee, Piper, Piper\"], [\"Did I talk to Rylee, Piper, Piper on 2017/06/21?\", \"yes\"], [\"Did I talk to anyone on 2017/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/24\": {\"dinner\": {\"eid\": \"e4793\", \"logical_representation\": [\"2017/06/24\", \"dinner\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had indian food for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/06/24?\", \"Emily\"], [\"what did I eat for dinner on 2017/06/24\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4794\", \"logical_representation\": [\"2017/06/24\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/06/24?\", \"50 minutes\"], [\"what did I read on 2017/06/24?\", \"a book\"], [\"Did I read on 2017/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/25\": {\"watch tv\": {\"eid\": \"e4795\", \"logical_representation\": [\"2017/06/25\", \"news\", \"5 minutes\"], \"text_template_based\": \"I watched news for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/06/25?\", \"5 minutes\"], [\"what did I watch on tv on 2017/06/25?\", \"news\"], [\"Did I watch tv on 2017/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/26\": {\"exercise\": {\"eid\": \"e4796\", \"logical_representation\": [\"2017/06/26\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/06/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/26?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4797\", \"logical_representation\": [\"2017/06/26\", \"breakfast\", \"cereals\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had cereals for breakfast with Emily, Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/06/26?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2017/06/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4798\", \"logical_representation\": [\"2017/06/26\", \"dinner\", \"pasta\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/06/26\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2017/06/27\": {\"exercise\": {\"eid\": \"e4799\", \"logical_representation\": [\"2017/06/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/06/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4800\", \"logical_representation\": [\"2017/06/27\", \"Avery, Layla\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Avery, Layla for 51 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla in the late afternoon on 2017/06/27?\", \"51 minutes\"], [\"who did I talk to on 2017/06/27?\", \"Avery, Layla\"], [\"Did I talk to Avery, Layla on 2017/06/27?\", \"yes\"], [\"Did I talk to anyone on 2017/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/28\": {\"exercise\": {\"eid\": \"e4801\", \"logical_representation\": [\"2017/06/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/06/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/06/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4802\", \"logical_representation\": [\"2017/06/28\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/06/28?\", \"35 minutes\"], [\"what did I read on 2017/06/28?\", \"a book\"], [\"Did I read on 2017/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/29\": {\"chat0\": {\"eid\": \"e4803\", \"logical_representation\": [\"2017/06/29\", \"Claire\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2017/06/29?\", \"33 minutes\"], [\"who did I talk to on 2017/06/29?\", \"Claire\"], [\"Did I talk to Claire on 2017/06/29?\", \"yes\"], [\"Did I talk to anyone on 2017/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/06/30\": {\"dinner\": {\"eid\": \"e4804\", \"logical_representation\": [\"2017/06/30\", \"dinner\", \"pasta\", \"Lydia, Nevaeh\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/06/30\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2017/07/05\": {\"dinner\": {\"eid\": \"e4806\", \"logical_representation\": [\"2017/07/05\", \"dinner\", \"steak\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4807\", \"logical_representation\": [\"2017/07/05\", \"Avery\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Avery for 49 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery late in the evening on 2017/07/05?\", \"49 minutes\"], [\"who did I talk to on 2017/07/05?\", \"Avery\"], [\"Did I talk to Avery on 2017/07/05?\", \"yes\"], [\"Did I talk to anyone on 2017/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4808\", \"logical_representation\": [\"2017/07/05\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/05?\", \"53 minutes\"], [\"what did I watch on tv on 2017/07/05?\", \"news\"], [\"Did I watch tv on 2017/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/07\": {\"exercise\": {\"eid\": \"e4812\", \"logical_representation\": [\"2017/07/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/07/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4813\", \"logical_representation\": [\"2017/07/07\", \"lunch\", \"chinese food\", \"Eva, Piper, Lydia, Kinsley, Claire, Olivia, Piper, Layla\"], \"text_template_based\": \"I had lunch with Eva, Piper, Lydia, Kinsley, Claire, Olivia, Piper, Layla. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/07/07?\", \"Eva, Piper, Lydia, Kinsley, Claire, Olivia, Piper, Layla\"], [\"what did I eat for lunch on 2017/07/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4814\", \"logical_representation\": [\"2017/07/07\", \"dinner\", \"pasta\", \"Hazel, Piper, Nevaeh, Rylee, Claire, Piper, Layla, Olivia, Eva, Avery, Lydia, Kinsley\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/07\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4815\", \"logical_representation\": [\"2017/07/07\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/07?\", \"17 minutes\"], [\"what did I watch on tv on 2017/07/07?\", \"a tv series\"], [\"Did I watch tv on 2017/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/08\": {\"chat0\": {\"eid\": \"e4816\", \"logical_representation\": [\"2017/07/08\", \"Eva, Nora\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Eva, Nora for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora in the early afternoon on 2017/07/08?\", \"42 minutes\"], [\"who did I talk to on 2017/07/08?\", \"Eva, Nora\"], [\"Did I talk to Eva, Nora on 2017/07/08?\", \"yes\"], [\"Did I talk to anyone on 2017/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/11\": {\"read\": {\"eid\": \"e4819\", \"logical_representation\": [\"2017/07/11\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/07/11?\", \"26 minutes\"], [\"what did I read on 2017/07/11?\", \"a book\"], [\"Did I read on 2017/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/12\": {\"breakfast\": {\"eid\": \"e4820\", \"logical_representation\": [\"2017/07/12\", \"breakfast\", \"cereals\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/07/12\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2017/07/14\": {\"exercise\": {\"eid\": \"e4821\", \"logical_representation\": [\"2017/07/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/07/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2017/07/15\": {\"watch tv\": {\"eid\": \"e4822\", \"logical_representation\": [\"2017/07/15\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/15?\", \"32 minutes\"], [\"what did I watch on tv on 2017/07/15?\", \"a tv series\"], [\"Did I watch tv on 2017/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/16\": {\"dinner\": {\"eid\": \"e4823\", \"logical_representation\": [\"2017/07/16\", \"dinner\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4824\", \"logical_representation\": [\"2017/07/16\", \"Eva\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I talked to Eva for 48 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2017/07/16?\", \"48 minutes\"], [\"who did I talk to on 2017/07/16?\", \"Eva\"], [\"Did I talk to Eva on 2017/07/16?\", \"yes\"], [\"Did I talk to anyone on 2017/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4825\", \"logical_representation\": [\"2017/07/16\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/07/16?\", \"33 minutes\"], [\"what did I read on 2017/07/16?\", \"a book\"], [\"Did I read on 2017/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4826\", \"logical_representation\": [\"2017/07/16\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/07/16?\", \"24 minutes\"], [\"what did I watch on tv on 2017/07/16?\", \"news\"], [\"Did I watch tv on 2017/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/17\": {\"chat0\": {\"eid\": \"e4827\", \"logical_representation\": [\"2017/07/17\", \"Olivia, Hazel\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Olivia, Hazel for 14 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel in the early evening on 2017/07/17?\", \"14 minutes\"], [\"who did I talk to on 2017/07/17?\", \"Olivia, Hazel\"], [\"Did I talk to Olivia, Hazel on 2017/07/17?\", \"yes\"], [\"Did I talk to anyone on 2017/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/18\": {\"dinner\": {\"eid\": \"e4828\", \"logical_representation\": [\"2017/07/18\", \"dinner\", \"fish and chips\", \"Kinsley, Hazel, Avery, Eva, Nevaeh, Piper\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4829\", \"logical_representation\": [\"2017/07/18\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/07/18?\", \"37 minutes\"], [\"what did I read on 2017/07/18?\", \"a book\"], [\"Did I read on 2017/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/20\": {\"chat0\": {\"eid\": \"e4830\", \"logical_representation\": [\"2017/07/20\", \"Avery\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2017/07/20?\", \"39 minutes\"], [\"who did I talk to on 2017/07/20?\", \"Avery\"], [\"Did I talk to Avery on 2017/07/20?\", \"yes\"], [\"Did I talk to anyone on 2017/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/21\": {\"exercise\": {\"eid\": \"e4831\", \"logical_representation\": [\"2017/07/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/07/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2017/07/24\": {\"dinner\": {\"eid\": \"e4832\", \"logical_representation\": [\"2017/07/24\", \"dinner\", \"fish and chips\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Andrew, Carter, Kayden. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/07/24?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for dinner on 2017/07/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4833\", \"logical_representation\": [\"2017/07/24\", \"Hazel, Rylee, Avery\", \"in the morning\", \"32 minutes\"], \"text_template_based\": \"I talked to Hazel, Rylee, Avery for 32 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee, Avery in the morning on 2017/07/24?\", \"32 minutes\"], [\"who did I talk to on 2017/07/24?\", \"Hazel, Rylee, Avery\"], [\"Did I talk to Hazel, Rylee, Avery on 2017/07/24?\", \"yes\"], [\"Did I talk to anyone on 2017/07/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/25\": {\"dinner\": {\"eid\": \"e4834\", \"logical_representation\": [\"2017/07/25\", \"dinner\", \"sandwich\", \"Piper, Nevaeh, Layla\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2017/07/27\": {\"dinner\": {\"eid\": \"e4835\", \"logical_representation\": [\"2017/07/27\", \"dinner\", \"tacos\", \"Emily, Carter\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/27\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4836\", \"logical_representation\": [\"2017/07/27\", \"Rylee, Layla\", \"during lunch hours\", \"10 minutes\"], \"text_template_based\": \"I talked to Rylee, Layla for 10 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla during lunch hours on 2017/07/27?\", \"10 minutes\"], [\"who did I talk to on 2017/07/27?\", \"Rylee, Layla\"], [\"Did I talk to Rylee, Layla on 2017/07/27?\", \"yes\"], [\"Did I talk to anyone on 2017/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/07/30\": {\"breakfast\": {\"eid\": \"e4840\", \"logical_representation\": [\"2017/07/30\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Emily. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/07/30?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2017/07/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4841\", \"logical_representation\": [\"2017/07/30\", \"lunch\", \"sandwich\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/07/30?\", \"Kayden, Emily, Andrew\"], [\"what did I eat for lunch on 2017/07/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4842\", \"logical_representation\": [\"2017/07/30\", \"dinner\", \"fish and chips\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/07/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2017/07/31\": {\"dinner\": {\"eid\": \"e4843\", \"logical_representation\": [\"2017/07/31\", \"dinner\", \"a burger\", \"Emily, Kayden\"], \"text_template_based\": \"I had dinner with Emily, Kayden. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/07/31?\", \"Emily, Kayden\"], [\"what did I eat for dinner on 2017/07/31\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4844\", \"logical_representation\": [\"2017/07/31\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/07/31?\", \"7 minutes\"], [\"what did I read on 2017/07/31?\", \"a book\"], [\"Did I read on 2017/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/02\": {\"watch tv\": {\"eid\": \"e4847\", \"logical_representation\": [\"2017/08/02\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/02?\", \"10 minutes\"], [\"what did I watch on tv on 2017/08/02?\", \"news\"], [\"Did I watch tv on 2017/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/03\": {\"breakfast\": {\"eid\": \"e4848\", \"logical_representation\": [\"2017/08/03\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/08/03?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2017/08/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2017/08/05\": {\"exercise\": {\"eid\": \"e4849\", \"logical_representation\": [\"2017/08/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/08/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4850\", \"logical_representation\": [\"2017/08/05\", \"Hazel\", \"during lunch hours\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2017/08/05?\", \"32 minutes\"], [\"who did I talk to on 2017/08/05?\", \"Hazel\"], [\"Did I talk to Hazel on 2017/08/05?\", \"yes\"], [\"Did I talk to anyone on 2017/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/06\": {\"exercise\": {\"eid\": \"e4851\", \"logical_representation\": [\"2017/08/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/08/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2017/08/07\": {\"chat0\": {\"eid\": \"e4852\", \"logical_representation\": [\"2017/08/07\", \"Avery, Kinsley, Nevaeh\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Avery, Kinsley, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley, Nevaeh in the morning on 2017/08/07?\", \"39 minutes\"], [\"who did I talk to on 2017/08/07?\", \"Avery, Kinsley, Nevaeh\"], [\"Did I talk to Avery, Kinsley, Nevaeh on 2017/08/07?\", \"yes\"], [\"Did I talk to anyone on 2017/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/08\": {\"read\": {\"eid\": \"e4853\", \"logical_representation\": [\"2017/08/08\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/08/08?\", \"19 minutes\"], [\"what did I read on 2017/08/08?\", \"a book\"], [\"Did I read on 2017/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/10\": {\"exercise\": {\"eid\": \"e4856\", \"logical_representation\": [\"2017/08/10\", \"biking\"], \"text_template_based\": \"I did biking on 2017/08/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4857\", \"logical_representation\": [\"2017/08/10\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/11\": {\"breakfast\": {\"eid\": \"e4858\", \"logical_representation\": [\"2017/08/11\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Piper, Piper, Hazel, Claire\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/11\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4859\", \"logical_representation\": [\"2017/08/11\", \"a tv series\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/11?\", \"46 minutes\"], [\"what did I watch on tv on 2017/08/11?\", \"a tv series\"], [\"Did I watch tv on 2017/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/12\": {\"lunch\": {\"eid\": \"e4860\", \"logical_representation\": [\"2017/08/12\", \"lunch\", \"steak\", \"Carter\"], \"text_template_based\": \"I had steak for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/08/12?\", \"Carter\"], [\"what did I eat for lunch on 2017/08/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4861\", \"logical_representation\": [\"2017/08/12\", \"dinner\", \"tacos\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Kayden. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/08/12?\", \"Andrew, Kayden\"], [\"what did I eat for dinner on 2017/08/12\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2017/08/13\": {\"dinner\": {\"eid\": \"e4862\", \"logical_representation\": [\"2017/08/13\", \"dinner\", \"steak\", \"Kayden\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/13\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2017/08/15\": {\"dinner\": {\"eid\": \"e4864\", \"logical_representation\": [\"2017/08/15\", \"dinner\", \"a burger\", \"Rylee, Hazel, Piper, Lydia, Olivia, Piper, Eva, Layla\"], \"text_template_based\": \"I had a burger for dinner with Rylee, Hazel, Piper, Lydia, Olivia, Piper, Eva, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/08/15?\", \"Rylee, Hazel, Piper, Lydia, Olivia, Piper, Eva, Layla\"], [\"what did I eat for dinner on 2017/08/15\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2017/08/18\": {\"lunch\": {\"eid\": \"e4868\", \"logical_representation\": [\"2017/08/18\", \"lunch\", \"sushi\", \"Claire, Piper\"], \"text_template_based\": \"I had sushi for lunch with Claire, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/08/18?\", \"Claire, Piper\"], [\"what did I eat for lunch on 2017/08/18\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2017/08/20\": {\"exercise\": {\"eid\": \"e4869\", \"logical_representation\": [\"2017/08/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/08/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4870\", \"logical_representation\": [\"2017/08/20\", \"dinner\", \"a burger\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4871\", \"logical_representation\": [\"2017/08/20\", \"Piper, Layla, Hazel, Claire\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Hazel, Claire for 18 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Hazel, Claire in the late afternoon on 2017/08/20?\", \"18 minutes\"], [\"who did I talk to on 2017/08/20?\", \"Piper, Layla, Hazel, Claire\"], [\"Did I talk to Piper, Layla, Hazel, Claire on 2017/08/20?\", \"yes\"], [\"Did I talk to anyone on 2017/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/22\": {\"exercise\": {\"eid\": \"e4873\", \"logical_representation\": [\"2017/08/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/08/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2017/08/24\": {\"lunch\": {\"eid\": \"e4877\", \"logical_representation\": [\"2017/08/24\", \"lunch\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/08/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4878\", \"logical_representation\": [\"2017/08/24\", \"dinner\", \"chinese food\", \"Avery\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4879\", \"logical_representation\": [\"2017/08/24\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I watched a movie for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/24?\", \"48 minutes\"], [\"what did I watch on tv on 2017/08/24?\", \"a movie\"], [\"Did I watch tv on 2017/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/25\": {\"exercise\": {\"eid\": \"e4880\", \"logical_representation\": [\"2017/08/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/08/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4881\", \"logical_representation\": [\"2017/08/25\", \"Rylee, Nora, Piper, Eva\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Rylee, Nora, Piper, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora, Piper, Eva in the early afternoon on 2017/08/25?\", \"36 minutes\"], [\"who did I talk to on 2017/08/25?\", \"Rylee, Nora, Piper, Eva\"], [\"Did I talk to Rylee, Nora, Piper, Eva on 2017/08/25?\", \"yes\"], [\"Did I talk to anyone on 2017/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4882\", \"logical_representation\": [\"2017/08/25\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I watched a movie for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/08/25?\", \"53 minutes\"], [\"what did I watch on tv on 2017/08/25?\", \"a movie\"], [\"Did I watch tv on 2017/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/26\": {\"exercise\": {\"eid\": \"e4883\", \"logical_representation\": [\"2017/08/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/08/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4884\", \"logical_representation\": [\"2017/08/26\", \"dinner\", \"sushi\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/08/26\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2017/08/29\": {\"exercise\": {\"eid\": \"e4886\", \"logical_representation\": [\"2017/08/29\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/08/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/29?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4887\", \"logical_representation\": [\"2017/08/29\", \"breakfast\", \"toast and cheese\", \"Emily, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Carter. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/08/29?\", \"Emily, Carter\"], [\"what did I eat for breakfast on 2017/08/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4888\", \"logical_representation\": [\"2017/08/29\", \"Piper\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2017/08/29?\", \"54 minutes\"], [\"who did I talk to on 2017/08/29?\", \"Piper\"], [\"Did I talk to Piper on 2017/08/29?\", \"yes\"], [\"Did I talk to anyone on 2017/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/30\": {\"chat0\": {\"eid\": \"e4889\", \"logical_representation\": [\"2017/08/30\", \"Piper, Nora, Layla\", \"during lunch hours\", \"21 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Layla for 21 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Layla during lunch hours on 2017/08/30?\", \"21 minutes\"], [\"who did I talk to on 2017/08/30?\", \"Piper, Nora, Layla\"], [\"Did I talk to Piper, Nora, Layla on 2017/08/30?\", \"yes\"], [\"Did I talk to anyone on 2017/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/08/31\": {\"exercise\": {\"eid\": \"e4890\", \"logical_representation\": [\"2017/08/31\", \"biking\"], \"text_template_based\": \"I did biking on 2017/08/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/08/31?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4891\", \"logical_representation\": [\"2017/08/31\", \"breakfast\", \"pancakes\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/08/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/02\": {\"breakfast\": {\"eid\": \"e4892\", \"logical_representation\": [\"2017/09/02\", \"breakfast\", \"pancakes\", \"Nevaeh, Layla, Hazel, Avery, Rylee, Kinsley\"], \"text_template_based\": \"I had breakfast with Nevaeh, Layla, Hazel, Avery, Rylee, Kinsley. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/02?\", \"Nevaeh, Layla, Hazel, Avery, Rylee, Kinsley\"], [\"what did I eat for breakfast on 2017/09/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4893\", \"logical_representation\": [\"2017/09/02\", \"Layla\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2017/09/02?\", \"29 minutes\"], [\"who did I talk to on 2017/09/02?\", \"Layla\"], [\"Did I talk to Layla on 2017/09/02?\", \"yes\"], [\"Did I talk to anyone on 2017/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4894\", \"logical_representation\": [\"2017/09/02\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/09/02?\", \"19 minutes\"], [\"what did I read on 2017/09/02?\", \"social media\"], [\"Did I read on 2017/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/03\": {\"exercise\": {\"eid\": \"e4895\", \"logical_representation\": [\"2017/09/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/09/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2017/09/04\": {\"lunch\": {\"eid\": \"e4896\", \"logical_representation\": [\"2017/09/04\", \"lunch\", \"indian food\", \"Piper, Piper, Olivia, Claire, Avery, Hazel, Nora, Kinsley, Nevaeh, Rylee, Layla, Eva\"], \"text_template_based\": \"I had lunch with Piper, Piper, Olivia, Claire, Avery, Hazel, Nora, Kinsley, Nevaeh, Rylee, Layla, Eva. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/09/04?\", \"Piper, Piper, Olivia, Claire, Avery, Hazel, Nora, Kinsley, Nevaeh, Rylee, Layla, Eva\"], [\"what did I eat for lunch on 2017/09/04\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4897\", \"logical_representation\": [\"2017/09/04\", \"Layla\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2017/09/04?\", \"46 minutes\"], [\"who did I talk to on 2017/09/04?\", \"Layla\"], [\"Did I talk to Layla on 2017/09/04?\", \"yes\"], [\"Did I talk to anyone on 2017/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4898\", \"logical_representation\": [\"2017/09/04\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I watched a tv series for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/04?\", \"33 minutes\"], [\"what did I watch on tv on 2017/09/04?\", \"a tv series\"], [\"Did I watch tv on 2017/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/06\": {\"chat0\": {\"eid\": \"e4900\", \"logical_representation\": [\"2017/09/06\", \"Avery, Piper\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Avery, Piper for 34 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the early afternoon on 2017/09/06?\", \"34 minutes\"], [\"who did I talk to on 2017/09/06?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2017/09/06?\", \"yes\"], [\"Did I talk to anyone on 2017/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/07\": {\"chat0\": {\"eid\": \"e4901\", \"logical_representation\": [\"2017/09/07\", \"Kinsley, Eva\", \"in the morning\", \"16 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva for 16 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva in the morning on 2017/09/07?\", \"16 minutes\"], [\"who did I talk to on 2017/09/07?\", \"Kinsley, Eva\"], [\"Did I talk to Kinsley, Eva on 2017/09/07?\", \"yes\"], [\"Did I talk to anyone on 2017/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/09\": {\"breakfast\": {\"eid\": \"e4903\", \"logical_representation\": [\"2017/09/09\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Carter. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/09?\", \"Emily, Kayden, Carter\"], [\"what did I eat for breakfast on 2017/09/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4904\", \"logical_representation\": [\"2017/09/09\", \"dinner\", \"sandwich\", \"Kayden, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/09/09?\", \"Kayden, Carter\"], [\"what did I eat for dinner on 2017/09/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4905\", \"logical_representation\": [\"2017/09/09\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I watched a movie for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/09?\", \"13 minutes\"], [\"what did I watch on tv on 2017/09/09?\", \"a movie\"], [\"Did I watch tv on 2017/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/10\": {\"chat0\": {\"eid\": \"e4906\", \"logical_representation\": [\"2017/09/10\", \"Lydia\", \"in the late afternoon\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the late afternoon on 2017/09/10?\", \"23 minutes\"], [\"who did I talk to on 2017/09/10?\", \"Lydia\"], [\"Did I talk to Lydia on 2017/09/10?\", \"yes\"], [\"Did I talk to anyone on 2017/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4907\", \"logical_representation\": [\"2017/09/10\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/09/10?\", \"29 minutes\"], [\"what did I read on 2017/09/10?\", \"a book\"], [\"Did I read on 2017/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/12\": {\"exercise\": {\"eid\": \"e4910\", \"logical_representation\": [\"2017/09/12\", \"biking\"], \"text_template_based\": \"I did biking on 2017/09/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/12?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2017/09/15\": {\"exercise\": {\"eid\": \"e4912\", \"logical_representation\": [\"2017/09/15\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/15?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4913\", \"logical_representation\": [\"2017/09/15\", \"breakfast\", \"toast and cheese\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/09/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4914\", \"logical_representation\": [\"2017/09/15\", \"Piper\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2017/09/15?\", \"29 minutes\"], [\"who did I talk to on 2017/09/15?\", \"Piper\"], [\"Did I talk to Piper on 2017/09/15?\", \"yes\"], [\"Did I talk to anyone on 2017/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/16\": {\"breakfast\": {\"eid\": \"e4915\", \"logical_representation\": [\"2017/09/16\", \"breakfast\", \"toast and cheese\", \"Piper, Eva, Avery, Nora\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/09/16\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2017/09/17\": {\"breakfast\": {\"eid\": \"e4916\", \"logical_representation\": [\"2017/09/17\", \"breakfast\", \"eggs, sausages, and bread\", \"Layla, Claire\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/09/17\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4917\", \"logical_representation\": [\"2017/09/17\", \"Hazel, Nora, Lydia\", \"late in the evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Hazel, Nora, Lydia for 49 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Lydia late in the evening on 2017/09/17?\", \"49 minutes\"], [\"who did I talk to on 2017/09/17?\", \"Hazel, Nora, Lydia\"], [\"Did I talk to Hazel, Nora, Lydia on 2017/09/17?\", \"yes\"], [\"Did I talk to anyone on 2017/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/18\": {\"lunch\": {\"eid\": \"e4918\", \"logical_representation\": [\"2017/09/18\", \"lunch\", \"indian food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4919\", \"logical_representation\": [\"2017/09/18\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/09/18?\", \"17 minutes\"], [\"what did I read on 2017/09/18?\", \"news\"], [\"Did I read on 2017/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/19\": {\"lunch\": {\"eid\": \"e4920\", \"logical_representation\": [\"2017/09/19\", \"lunch\", \"steak\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/19\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2017/09/21\": {\"breakfast\": {\"eid\": \"e4921\", \"logical_representation\": [\"2017/09/21\", \"breakfast\", \"cereals\", \"Willow\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/09/21\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4922\", \"logical_representation\": [\"2017/09/21\", \"dinner\", \"steak\", \"Nora\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/09/21\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4923\", \"logical_representation\": [\"2017/09/21\", \"Layla, Nora, Claire\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Layla, Nora, Claire for 25 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Claire late in the evening on 2017/09/21?\", \"25 minutes\"], [\"who did I talk to on 2017/09/21?\", \"Layla, Nora, Claire\"], [\"Did I talk to Layla, Nora, Claire on 2017/09/21?\", \"yes\"], [\"Did I talk to anyone on 2017/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4924\", \"logical_representation\": [\"2017/09/21\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/09/21?\", \"17 minutes\"], [\"what did I read on 2017/09/21?\", \"a book\"], [\"Did I read on 2017/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/22\": {\"watch tv\": {\"eid\": \"e4925\", \"logical_representation\": [\"2017/09/22\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/22?\", \"54 minutes\"], [\"what did I watch on tv on 2017/09/22?\", \"a documentary\"], [\"Did I watch tv on 2017/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/24\": {\"exercise\": {\"eid\": \"e4926\", \"logical_representation\": [\"2017/09/24\", \"biking\"], \"text_template_based\": \"I did biking on 2017/09/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/24?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2017/09/25\": {\"chat0\": {\"eid\": \"e4927\", \"logical_representation\": [\"2017/09/25\", \"Piper, Piper\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Piper, Piper for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper in the early afternoon on 2017/09/25?\", \"7 minutes\"], [\"who did I talk to on 2017/09/25?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2017/09/25?\", \"yes\"], [\"Did I talk to anyone on 2017/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4928\", \"logical_representation\": [\"2017/09/25\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/09/25?\", \"47 minutes\"], [\"what did I watch on tv on 2017/09/25?\", \"news\"], [\"Did I watch tv on 2017/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/09/26\": {\"exercise\": {\"eid\": \"e4929\", \"logical_representation\": [\"2017/09/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/09/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/09/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2017/09/28\": {\"breakfast\": {\"eid\": \"e4930\", \"logical_representation\": [\"2017/09/28\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/09/28?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for breakfast on 2017/09/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4931\", \"logical_representation\": [\"2017/09/28\", \"lunch\", \"sushi\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/09/28\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2017/09/29\": {\"breakfast\": {\"eid\": \"e4932\", \"logical_representation\": [\"2017/09/29\", \"breakfast\", \"cereals\", \"Avery, Claire, Nevaeh, Hazel\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/09/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4933\", \"logical_representation\": [\"2017/09/29\", \"dinner\", \"tacos\", \"Nora, Lydia, Rylee, Hazel, Nevaeh, Piper, Olivia, Piper, Eva, Layla, Avery, Kinsley, Claire\"], \"text_template_based\": \"I had tacos for dinner with Nora, Lydia, Rylee, Hazel, Nevaeh, Piper, Olivia, Piper, Eva, Layla, Avery, Kinsley, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/09/29?\", \"Nora, Lydia, Rylee, Hazel, Nevaeh, Piper, Olivia, Piper, Eva, Layla, Avery, Kinsley, Claire\"], [\"what did I eat for dinner on 2017/09/29\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4934\", \"logical_representation\": [\"2017/09/29\", \"Avery, Lydia, Claire\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Avery, Lydia, Claire for 11 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Claire in the late afternoon on 2017/09/29?\", \"11 minutes\"], [\"who did I talk to on 2017/09/29?\", \"Avery, Lydia, Claire\"], [\"Did I talk to Avery, Lydia, Claire on 2017/09/29?\", \"yes\"], [\"Did I talk to anyone on 2017/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/04\": {\"breakfast\": {\"eid\": \"e4938\", \"logical_representation\": [\"2017/10/04\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/10/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2017/10/06\": {\"chat0\": {\"eid\": \"e4940\", \"logical_representation\": [\"2017/10/06\", \"Piper, Avery\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Piper, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery in the early evening on 2017/10/06?\", \"33 minutes\"], [\"who did I talk to on 2017/10/06?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2017/10/06?\", \"yes\"], [\"Did I talk to anyone on 2017/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4941\", \"logical_representation\": [\"2017/10/06\", \"a movie\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/06?\", \"42 minutes\"], [\"what did I watch on tv on 2017/10/06?\", \"a movie\"], [\"Did I watch tv on 2017/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/07\": {\"chat0\": {\"eid\": \"e4942\", \"logical_representation\": [\"2017/10/07\", \"Kinsley, Eva\", \"in the morning\", \"8 minutes\"], \"text_template_based\": \"I talked to Kinsley, Eva for 8 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Eva in the morning on 2017/10/07?\", \"8 minutes\"], [\"who did I talk to on 2017/10/07?\", \"Kinsley, Eva\"], [\"Did I talk to Kinsley, Eva on 2017/10/07?\", \"yes\"], [\"Did I talk to anyone on 2017/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4943\", \"logical_representation\": [\"2017/10/07\", \"a book\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/10/07?\", \"15 minutes\"], [\"what did I read on 2017/10/07?\", \"a book\"], [\"Did I read on 2017/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/09\": {\"lunch\": {\"eid\": \"e4944\", \"logical_representation\": [\"2017/10/09\", \"lunch\", \"fish and chips\", \"Nora, Piper, Avery, Piper, Claire\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4945\", \"logical_representation\": [\"2017/10/09\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/10/09?\", \"11 minutes\"], [\"what did I read on 2017/10/09?\", \"social media\"], [\"Did I read on 2017/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/13\": {\"lunch\": {\"eid\": \"e4947\", \"logical_representation\": [\"2017/10/13\", \"lunch\", \"sushi\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had lunch with Avery, Jackson, Benjamin, Willow. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/10/13?\", \"Avery, Jackson, Benjamin, Willow\"], [\"what did I eat for lunch on 2017/10/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4948\", \"logical_representation\": [\"2017/10/13\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I watched a tv series for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/13?\", \"7 minutes\"], [\"what did I watch on tv on 2017/10/13?\", \"a tv series\"], [\"Did I watch tv on 2017/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/14\": {\"breakfast\": {\"eid\": \"e4949\", \"logical_representation\": [\"2017/10/14\", \"breakfast\", \"toast and cheese\", \"Emily, Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/10/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4950\", \"logical_representation\": [\"2017/10/14\", \"Avery, Kinsley\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Avery, Kinsley for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley in the morning on 2017/10/14?\", \"45 minutes\"], [\"who did I talk to on 2017/10/14?\", \"Avery, Kinsley\"], [\"Did I talk to Avery, Kinsley on 2017/10/14?\", \"yes\"], [\"Did I talk to anyone on 2017/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/16\": {\"lunch\": {\"eid\": \"e4952\", \"logical_representation\": [\"2017/10/16\", \"lunch\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4953\", \"logical_representation\": [\"2017/10/16\", \"dinner\", \"steak\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/10/16?\", \"Carter\"], [\"what did I eat for dinner on 2017/10/16\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2017/10/17\": {\"breakfast\": {\"eid\": \"e4954\", \"logical_representation\": [\"2017/10/17\", \"breakfast\", \"oatmeal\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/10/17\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2017/10/18\": {\"exercise\": {\"eid\": \"e4955\", \"logical_representation\": [\"2017/10/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/10/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4956\", \"logical_representation\": [\"2017/10/18\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/10/18?\", \"42 minutes\"], [\"what did I read on 2017/10/18?\", \"news\"], [\"Did I read on 2017/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/19\": {\"breakfast\": {\"eid\": \"e4957\", \"logical_representation\": [\"2017/10/19\", \"breakfast\", \"pancakes\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/19?\", \"Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2017/10/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/20\": {\"exercise\": {\"eid\": \"e4958\", \"logical_representation\": [\"2017/10/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2017/10/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4959\", \"logical_representation\": [\"2017/10/20\", \"Claire\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I talked to Claire for 54 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2017/10/20?\", \"54 minutes\"], [\"who did I talk to on 2017/10/20?\", \"Claire\"], [\"Did I talk to Claire on 2017/10/20?\", \"yes\"], [\"Did I talk to anyone on 2017/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/22\": {\"breakfast\": {\"eid\": \"e4961\", \"logical_representation\": [\"2017/10/22\", \"breakfast\", \"eggs, sausages, and bread\", \"Eva, Avery, Hazel, Piper, Layla, Claire, Lydia, Nevaeh, Piper, Rylee, Kinsley\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/10/22\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2017/10/23\": {\"exercise\": {\"eid\": \"e4962\", \"logical_representation\": [\"2017/10/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/10/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4963\", \"logical_representation\": [\"2017/10/23\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had toast and cheese for breakfast with Emily, Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/10/23?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for breakfast on 2017/10/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4964\", \"logical_representation\": [\"2017/10/23\", \"lunch\", \"sandwich\", \"Carter, Andrew\"], \"text_template_based\": \"I had sandwich for lunch with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/10/23?\", \"Carter, Andrew\"], [\"what did I eat for lunch on 2017/10/23\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2017/10/24\": {\"watch tv\": {\"eid\": \"e4965\", \"logical_representation\": [\"2017/10/24\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I watched a tv series for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/24?\", \"17 minutes\"], [\"what did I watch on tv on 2017/10/24?\", \"a tv series\"], [\"Did I watch tv on 2017/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/25\": {\"dinner\": {\"eid\": \"e4966\", \"logical_representation\": [\"2017/10/25\", \"dinner\", \"chinese food\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/10/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4967\", \"logical_representation\": [\"2017/10/25\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/10/25?\", \"47 minutes\"], [\"what did I read on 2017/10/25?\", \"a book\"], [\"Did I read on 2017/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/26\": {\"dinner\": {\"eid\": \"e4968\", \"logical_representation\": [\"2017/10/26\", \"dinner\", \"sushi\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had sushi for dinner with Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/10/26?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for dinner on 2017/10/26\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2017/10/28\": {\"breakfast\": {\"eid\": \"e4970\", \"logical_representation\": [\"2017/10/28\", \"breakfast\", \"cereals\", \"Willow, Benjamin\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/10/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4971\", \"logical_representation\": [\"2017/10/28\", \"lunch\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e4972\", \"logical_representation\": [\"2017/10/28\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/10/28?\", \"54 minutes\"], [\"what did I read on 2017/10/28?\", \"social media\"], [\"Did I read on 2017/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/10/30\": {\"lunch\": {\"eid\": \"e4975\", \"logical_representation\": [\"2017/10/30\", \"lunch\", \"steak\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/10/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4976\", \"logical_representation\": [\"2017/10/30\", \"dinner\", \"sandwich\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/10/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2017/10/31\": {\"exercise\": {\"eid\": \"e4977\", \"logical_representation\": [\"2017/10/31\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/10/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/10/31?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4978\", \"logical_representation\": [\"2017/10/31\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I watched a movie for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/10/31?\", \"19 minutes\"], [\"what did I watch on tv on 2017/10/31?\", \"a movie\"], [\"Did I watch tv on 2017/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/01\": {\"social media\": {\"eid\": \"e4979\", \"logical_representation\": [\"2017/11/01\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/11/01?\", \"13 minutes\"], [\"what did I read on 2017/11/01?\", \"social media\"], [\"Did I read on 2017/11/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/02\": {\"breakfast\": {\"eid\": \"e4980\", \"logical_representation\": [\"2017/11/02\", \"breakfast\", \"oatmeal\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/11/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4981\", \"logical_representation\": [\"2017/11/02\", \"Olivia, Nevaeh, Rylee, Eva\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Olivia, Nevaeh, Rylee, Eva for 13 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh, Rylee, Eva in the early afternoon on 2017/11/02?\", \"13 minutes\"], [\"who did I talk to on 2017/11/02?\", \"Olivia, Nevaeh, Rylee, Eva\"], [\"Did I talk to Olivia, Nevaeh, Rylee, Eva on 2017/11/02?\", \"yes\"], [\"Did I talk to anyone on 2017/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/03\": {\"lunch\": {\"eid\": \"e4982\", \"logical_representation\": [\"2017/11/03\", \"lunch\", \"sushi\", \"Emily, Andrew\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4983\", \"logical_representation\": [\"2017/11/03\", \"Piper, Piper, Nevaeh\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Piper, Piper, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Nevaeh in the late afternoon on 2017/11/03?\", \"45 minutes\"], [\"who did I talk to on 2017/11/03?\", \"Piper, Piper, Nevaeh\"], [\"Did I talk to Piper, Piper, Nevaeh on 2017/11/03?\", \"yes\"], [\"Did I talk to anyone on 2017/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/04\": {\"exercise\": {\"eid\": \"e4984\", \"logical_representation\": [\"2017/11/04\", \"biking\"], \"text_template_based\": \"I did biking on 2017/11/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e4985\", \"logical_representation\": [\"2017/11/04\", \"breakfast\", \"cereals\", \"Kinsley, Piper, Olivia, Rylee, Claire, Piper, Avery, Nora, Hazel, Eva\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/11/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4986\", \"logical_representation\": [\"2017/11/04\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/11/04?\", \"35 minutes\"], [\"what did I read on 2017/11/04?\", \"news\"], [\"Did I read on 2017/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/05\": {\"exercise\": {\"eid\": \"e4987\", \"logical_representation\": [\"2017/11/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/11/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e4988\", \"logical_representation\": [\"2017/11/05\", \"lunch\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/11/05?\", \"Carter\"], [\"what did I eat for lunch on 2017/11/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4989\", \"logical_representation\": [\"2017/11/05\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/11/05?\", \"10 minutes\"], [\"what did I read on 2017/11/05?\", \"news\"], [\"Did I read on 2017/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/06\": {\"exercise\": {\"eid\": \"e4990\", \"logical_representation\": [\"2017/11/06\", \"biking\"], \"text_template_based\": \"I did biking on 2017/11/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/06?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e4991\", \"logical_representation\": [\"2017/11/06\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I watched a movie for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/06?\", \"18 minutes\"], [\"what did I watch on tv on 2017/11/06?\", \"a movie\"], [\"Did I watch tv on 2017/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/07\": {\"dinner\": {\"eid\": \"e4992\", \"logical_representation\": [\"2017/11/07\", \"dinner\", \"sushi\", \"Nora, Lydia, Claire, Piper, Nevaeh, Hazel, Olivia, Eva, Kinsley\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/11/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4993\", \"logical_representation\": [\"2017/11/07\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/11/07?\", \"30 minutes\"], [\"what did I read on 2017/11/07?\", \"a book\"], [\"Did I read on 2017/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/09\": {\"exercise\": {\"eid\": \"e4995\", \"logical_representation\": [\"2017/11/09\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/11/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/09?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e4996\", \"logical_representation\": [\"2017/11/09\", \"dinner\", \"chinese food\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/11/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e4997\", \"logical_representation\": [\"2017/11/09\", \"Nevaeh, Avery\", \"in the early afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Avery for 5 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery in the early afternoon on 2017/11/09?\", \"5 minutes\"], [\"who did I talk to on 2017/11/09?\", \"Nevaeh, Avery\"], [\"Did I talk to Nevaeh, Avery on 2017/11/09?\", \"yes\"], [\"Did I talk to anyone on 2017/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e4998\", \"logical_representation\": [\"2017/11/09\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/11/09?\", \"37 minutes\"], [\"what did I read on 2017/11/09?\", \"a book\"], [\"Did I read on 2017/11/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/10\": {\"dinner\": {\"eid\": \"e4999\", \"logical_representation\": [\"2017/11/10\", \"dinner\", \"tacos\", \"Olivia, Kinsley, Layla, Nora\"], \"text_template_based\": \"I had dinner with Olivia, Kinsley, Layla, Nora. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/11/10?\", \"Olivia, Kinsley, Layla, Nora\"], [\"what did I eat for dinner on 2017/11/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5000\", \"logical_representation\": [\"2017/11/10\", \"Lydia, Eva, Piper, Nora\", \"during lunch hours\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Lydia, Eva, Piper, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Piper, Nora during lunch hours on 2017/11/10?\", \"50 minutes\"], [\"who did I talk to on 2017/11/10?\", \"Lydia, Eva, Piper, Nora\"], [\"Did I talk to Lydia, Eva, Piper, Nora on 2017/11/10?\", \"yes\"], [\"Did I talk to anyone on 2017/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/11\": {\"read\": {\"eid\": \"e5001\", \"logical_representation\": [\"2017/11/11\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/11/11?\", \"22 minutes\"], [\"what did I read on 2017/11/11?\", \"a book\"], [\"Did I read on 2017/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/13\": {\"exercise\": {\"eid\": \"e5003\", \"logical_representation\": [\"2017/11/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/11/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5004\", \"logical_representation\": [\"2017/11/13\", \"lunch\", \"tacos\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had tacos for lunch with Andrew, Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/11/13?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2017/11/13\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5005\", \"logical_representation\": [\"2017/11/13\", \"Lydia\", \"in the early afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Lydia for 13 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the early afternoon on 2017/11/13?\", \"13 minutes\"], [\"who did I talk to on 2017/11/13?\", \"Lydia\"], [\"Did I talk to Lydia on 2017/11/13?\", \"yes\"], [\"Did I talk to anyone on 2017/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5006\", \"logical_representation\": [\"2017/11/13\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/13?\", \"20 minutes\"], [\"what did I watch on tv on 2017/11/13?\", \"news\"], [\"Did I watch tv on 2017/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/14\": {\"breakfast\": {\"eid\": \"e5007\", \"logical_representation\": [\"2017/11/14\", \"breakfast\", \"cereals\", \"Lydia, Nora, Piper, Eva, Nevaeh, Hazel, Rylee\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/11/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5008\", \"logical_representation\": [\"2017/11/14\", \"lunch\", \"tacos\", \"Avery, Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had tacos for lunch with Avery, Jackson, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/11/14?\", \"Avery, Jackson, Willow, Benjamin\"], [\"what did I eat for lunch on 2017/11/14\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5009\", \"logical_representation\": [\"2017/11/14\", \"Olivia, Kinsley, Hazel\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Olivia, Kinsley, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley, Hazel during lunch hours on 2017/11/14?\", \"31 minutes\"], [\"who did I talk to on 2017/11/14?\", \"Olivia, Kinsley, Hazel\"], [\"Did I talk to Olivia, Kinsley, Hazel on 2017/11/14?\", \"yes\"], [\"Did I talk to anyone on 2017/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/17\": {\"social media\": {\"eid\": \"e5015\", \"logical_representation\": [\"2017/11/17\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/11/17?\", \"47 minutes\"], [\"what did I read on 2017/11/17?\", \"social media\"], [\"Did I read on 2017/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/18\": {\"exercise\": {\"eid\": \"e5016\", \"logical_representation\": [\"2017/11/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2017/11/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5017\", \"logical_representation\": [\"2017/11/18\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/11/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2017/11/19\": {\"lunch\": {\"eid\": \"e5018\", \"logical_representation\": [\"2017/11/19\", \"lunch\", \"tacos\", \"Carter, Andrew\"], \"text_template_based\": \"I had tacos for lunch with Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/11/19?\", \"Carter, Andrew\"], [\"what did I eat for lunch on 2017/11/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5019\", \"logical_representation\": [\"2017/11/19\", \"Nevaeh, Eva\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva for 13 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva in the late afternoon on 2017/11/19?\", \"13 minutes\"], [\"who did I talk to on 2017/11/19?\", \"Nevaeh, Eva\"], [\"Did I talk to Nevaeh, Eva on 2017/11/19?\", \"yes\"], [\"Did I talk to anyone on 2017/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5020\", \"logical_representation\": [\"2017/11/19\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/11/19?\", \"14 minutes\"], [\"what did I read on 2017/11/19?\", \"news\"], [\"Did I read on 2017/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/20\": {\"chat0\": {\"eid\": \"e5021\", \"logical_representation\": [\"2017/11/20\", \"Lydia, Nora\", \"in the morning\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Lydia, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora in the morning on 2017/11/20?\", \"50 minutes\"], [\"who did I talk to on 2017/11/20?\", \"Lydia, Nora\"], [\"Did I talk to Lydia, Nora on 2017/11/20?\", \"yes\"], [\"Did I talk to anyone on 2017/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5022\", \"logical_representation\": [\"2017/11/20\", \"a documentary\", \"21 minutes\"], \"text_template_based\": \"I watched a documentary for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/20?\", \"21 minutes\"], [\"what did I watch on tv on 2017/11/20?\", \"a documentary\"], [\"Did I watch tv on 2017/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/21\": {\"exercise\": {\"eid\": \"e5023\", \"logical_representation\": [\"2017/11/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/11/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5024\", \"logical_representation\": [\"2017/11/21\", \"lunch\", \"sushi\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I had lunch with Benjamin, Avery, Jackson, Willow. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/11/21?\", \"Benjamin, Avery, Jackson, Willow\"], [\"what did I eat for lunch on 2017/11/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5025\", \"logical_representation\": [\"2017/11/21\", \"Hazel, Lydia, Nora, Claire\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Hazel, Lydia, Nora, Claire on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Nora, Claire late in the evening on 2017/11/21?\", \"13 minutes\"], [\"who did I talk to on 2017/11/21?\", \"Hazel, Lydia, Nora, Claire\"], [\"Did I talk to Hazel, Lydia, Nora, Claire on 2017/11/21?\", \"yes\"], [\"Did I talk to anyone on 2017/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/22\": {\"exercise\": {\"eid\": \"e5026\", \"logical_representation\": [\"2017/11/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/11/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/11/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5027\", \"logical_representation\": [\"2017/11/22\", \"lunch\", \"indian food\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/22\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2017/11/23\": {\"breakfast\": {\"eid\": \"e5028\", \"logical_representation\": [\"2017/11/23\", \"breakfast\", \"cereals\", \"Kayden, Carter\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/11/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5029\", \"logical_representation\": [\"2017/11/23\", \"Olivia\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I talked to Olivia for 24 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2017/11/23?\", \"24 minutes\"], [\"who did I talk to on 2017/11/23?\", \"Olivia\"], [\"Did I talk to Olivia on 2017/11/23?\", \"yes\"], [\"Did I talk to anyone on 2017/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5030\", \"logical_representation\": [\"2017/11/23\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I watched a tv series for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/11/23?\", \"47 minutes\"], [\"what did I watch on tv on 2017/11/23?\", \"a tv series\"], [\"Did I watch tv on 2017/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/24\": {\"lunch\": {\"eid\": \"e5031\", \"logical_representation\": [\"2017/11/24\", \"lunch\", \"chinese food\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had chinese food for lunch with Emily, Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/11/24?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2017/11/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5032\", \"logical_representation\": [\"2017/11/24\", \"Rylee, Layla, Avery\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I talked to Rylee, Layla, Avery for 8 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Layla, Avery during lunch hours on 2017/11/24?\", \"8 minutes\"], [\"who did I talk to on 2017/11/24?\", \"Rylee, Layla, Avery\"], [\"Did I talk to Rylee, Layla, Avery on 2017/11/24?\", \"yes\"], [\"Did I talk to anyone on 2017/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/25\": {\"dinner\": {\"eid\": \"e5033\", \"logical_representation\": [\"2017/11/25\", \"dinner\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/11/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5034\", \"logical_representation\": [\"2017/11/25\", \"Nora\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Nora for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2017/11/25?\", \"36 minutes\"], [\"who did I talk to on 2017/11/25?\", \"Nora\"], [\"Did I talk to Nora on 2017/11/25?\", \"yes\"], [\"Did I talk to anyone on 2017/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/28\": {\"chat0\": {\"eid\": \"e5037\", \"logical_representation\": [\"2017/11/28\", \"Nevaeh\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2017/11/28?\", \"10 minutes\"], [\"who did I talk to on 2017/11/28?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2017/11/28?\", \"yes\"], [\"Did I talk to anyone on 2017/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/11/30\": {\"lunch\": {\"eid\": \"e5038\", \"logical_representation\": [\"2017/11/30\", \"lunch\", \"a burger\", \"Benjamin\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/11/30\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2017/12/01\": {\"social media\": {\"eid\": \"e5039\", \"logical_representation\": [\"2017/12/01\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/12/01?\", \"7 minutes\"], [\"what did I read on 2017/12/01?\", \"social media\"], [\"Did I read on 2017/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/02\": {\"exercise\": {\"eid\": \"e5040\", \"logical_representation\": [\"2017/12/02\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/12/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/02?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5041\", \"logical_representation\": [\"2017/12/02\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/12/02?\", \"12 minutes\"], [\"what did I read on 2017/12/02?\", \"news\"], [\"Did I read on 2017/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/03\": {\"chat0\": {\"eid\": \"e5042\", \"logical_representation\": [\"2017/12/03\", \"Lydia, Kinsley, Rylee, Hazel\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Lydia, Kinsley, Rylee, Hazel for 34 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Rylee, Hazel in the early evening on 2017/12/03?\", \"34 minutes\"], [\"who did I talk to on 2017/12/03?\", \"Lydia, Kinsley, Rylee, Hazel\"], [\"Did I talk to Lydia, Kinsley, Rylee, Hazel on 2017/12/03?\", \"yes\"], [\"Did I talk to anyone on 2017/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/04\": {\"lunch\": {\"eid\": \"e5043\", \"logical_representation\": [\"2017/12/04\", \"lunch\", \"fish and chips\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had fish and chips for lunch with Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/12/04?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for lunch on 2017/12/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5044\", \"logical_representation\": [\"2017/12/04\", \"social media\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/12/04?\", \"44 minutes\"], [\"what did I read on 2017/12/04?\", \"social media\"], [\"Did I read on 2017/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5045\", \"logical_representation\": [\"2017/12/04\", \"a movie\", \"24 minutes\"], \"text_template_based\": \"I watched a movie for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/04?\", \"24 minutes\"], [\"what did I watch on tv on 2017/12/04?\", \"a movie\"], [\"Did I watch tv on 2017/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/05\": {\"exercise\": {\"eid\": \"e5046\", \"logical_representation\": [\"2017/12/05\", \"biking\"], \"text_template_based\": \"I did biking on 2017/12/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/05?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5047\", \"logical_representation\": [\"2017/12/05\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/05?\", \"44 minutes\"], [\"what did I watch on tv on 2017/12/05?\", \"a documentary\"], [\"Did I watch tv on 2017/12/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/06\": {\"dinner\": {\"eid\": \"e5048\", \"logical_representation\": [\"2017/12/06\", \"dinner\", \"a burger\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Carter, Andrew. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/12/06?\", \"Emily, Carter, Andrew\"], [\"what did I eat for dinner on 2017/12/06\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2017/12/08\": {\"lunch\": {\"eid\": \"e5050\", \"logical_representation\": [\"2017/12/08\", \"lunch\", \"a burger\", \"Benjamin\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/08\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2017/12/09\": {\"exercise\": {\"eid\": \"e5051\", \"logical_representation\": [\"2017/12/09\", \"running\"], \"text_template_based\": \"I did running on 2017/12/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/09?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2017/12/11\": {\"lunch\": {\"eid\": \"e5054\", \"logical_representation\": [\"2017/12/11\", \"lunch\", \"steak\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/11\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5055\", \"logical_representation\": [\"2017/12/11\", \"dinner\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5056\", \"logical_representation\": [\"2017/12/11\", \"Kinsley, Piper, Eva\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Eva for 53 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Eva in the early afternoon on 2017/12/11?\", \"53 minutes\"], [\"who did I talk to on 2017/12/11?\", \"Kinsley, Piper, Eva\"], [\"Did I talk to Kinsley, Piper, Eva on 2017/12/11?\", \"yes\"], [\"Did I talk to anyone on 2017/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5057\", \"logical_representation\": [\"2017/12/11\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/12/11?\", \"11 minutes\"], [\"what did I read on 2017/12/11?\", \"a book\"], [\"Did I read on 2017/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/12\": {\"lunch\": {\"eid\": \"e5058\", \"logical_representation\": [\"2017/12/12\", \"lunch\", \"fish and chips\", \"Benjamin\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5059\", \"logical_representation\": [\"2017/12/12\", \"dinner\", \"steak\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2017/12/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5060\", \"logical_representation\": [\"2017/12/12\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/12?\", \"14 minutes\"], [\"what did I watch on tv on 2017/12/12?\", \"news\"], [\"Did I watch tv on 2017/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/13\": {\"lunch\": {\"eid\": \"e5061\", \"logical_representation\": [\"2017/12/13\", \"lunch\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5062\", \"logical_representation\": [\"2017/12/13\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2017/12/13?\", \"52 minutes\"], [\"what did I read on 2017/12/13?\", \"a book\"], [\"Did I read on 2017/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/14\": {\"watch tv\": {\"eid\": \"e5063\", \"logical_representation\": [\"2017/12/14\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I watched a tv series for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/14?\", \"54 minutes\"], [\"what did I watch on tv on 2017/12/14?\", \"a tv series\"], [\"Did I watch tv on 2017/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/15\": {\"read\": {\"eid\": \"e5064\", \"logical_representation\": [\"2017/12/15\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/12/15?\", \"31 minutes\"], [\"what did I read on 2017/12/15?\", \"news\"], [\"Did I read on 2017/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/17\": {\"breakfast\": {\"eid\": \"e5065\", \"logical_representation\": [\"2017/12/17\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2017/12/17?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2017/12/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5066\", \"logical_representation\": [\"2017/12/17\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I watched a tv series for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/17?\", \"20 minutes\"], [\"what did I watch on tv on 2017/12/17?\", \"a tv series\"], [\"Did I watch tv on 2017/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/18\": {\"exercise\": {\"eid\": \"e5067\", \"logical_representation\": [\"2017/12/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2017/12/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5068\", \"logical_representation\": [\"2017/12/18\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/12/18?\", \"42 minutes\"], [\"what did I read on 2017/12/18?\", \"social media\"], [\"Did I read on 2017/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5069\", \"logical_representation\": [\"2017/12/18\", \"a movie\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/18?\", \"16 minutes\"], [\"what did I watch on tv on 2017/12/18?\", \"a movie\"], [\"Did I watch tv on 2017/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/19\": {\"lunch\": {\"eid\": \"e5070\", \"logical_representation\": [\"2017/12/19\", \"lunch\", \"fish and chips\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had lunch with Willow, Benjamin, Jackson. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/12/19?\", \"Willow, Benjamin, Jackson\"], [\"what did I eat for lunch on 2017/12/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5071\", \"logical_representation\": [\"2017/12/19\", \"news\", \"23 minutes\"], \"text_template_based\": \"I watched news for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/19?\", \"23 minutes\"], [\"what did I watch on tv on 2017/12/19?\", \"news\"], [\"Did I watch tv on 2017/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/21\": {\"read\": {\"eid\": \"e5072\", \"logical_representation\": [\"2017/12/21\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2017/12/21?\", \"8 minutes\"], [\"what did I read on 2017/12/21?\", \"news\"], [\"Did I read on 2017/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/22\": {\"lunch\": {\"eid\": \"e5073\", \"logical_representation\": [\"2017/12/22\", \"lunch\", \"steak\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I had steak for lunch with Willow, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2017/12/22?\", \"Willow, Jackson, Avery\"], [\"what did I eat for lunch on 2017/12/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5074\", \"logical_representation\": [\"2017/12/22\", \"dinner\", \"tacos\", \"Carter, Kayden\"], \"text_template_based\": \"I had tacos for dinner with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/12/22?\", \"Carter, Kayden\"], [\"what did I eat for dinner on 2017/12/22\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5075\", \"logical_representation\": [\"2017/12/22\", \"Piper, Eva, Avery, Nora\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Avery, Nora for 11 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Avery, Nora late in the evening on 2017/12/22?\", \"11 minutes\"], [\"who did I talk to on 2017/12/22?\", \"Piper, Eva, Avery, Nora\"], [\"Did I talk to Piper, Eva, Avery, Nora on 2017/12/22?\", \"yes\"], [\"Did I talk to anyone on 2017/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/25\": {\"chat0\": {\"eid\": \"e5081\", \"logical_representation\": [\"2017/12/25\", \"Hazel, Olivia, Nora, Avery\", \"in the early evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Hazel, Olivia, Nora, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia, Nora, Avery in the early evening on 2017/12/25?\", \"55 minutes\"], [\"who did I talk to on 2017/12/25?\", \"Hazel, Olivia, Nora, Avery\"], [\"Did I talk to Hazel, Olivia, Nora, Avery on 2017/12/25?\", \"yes\"], [\"Did I talk to anyone on 2017/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/26\": {\"chat0\": {\"eid\": \"e5082\", \"logical_representation\": [\"2017/12/26\", \"Eva, Avery, Nevaeh, Lydia\", \"during lunch hours\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Eva, Avery, Nevaeh, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Nevaeh, Lydia during lunch hours on 2017/12/26?\", \"14 minutes\"], [\"who did I talk to on 2017/12/26?\", \"Eva, Avery, Nevaeh, Lydia\"], [\"Did I talk to Eva, Avery, Nevaeh, Lydia on 2017/12/26?\", \"yes\"], [\"Did I talk to anyone on 2017/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/27\": {\"lunch\": {\"eid\": \"e5083\", \"logical_representation\": [\"2017/12/27\", \"lunch\", \"indian food\", \"Avery\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2017/12/27\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5084\", \"logical_representation\": [\"2017/12/27\", \"dinner\", \"sushi\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had sushi for dinner with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/12/27?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for dinner on 2017/12/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5085\", \"logical_representation\": [\"2017/12/27\", \"Kinsley, Piper\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper for 48 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the early afternoon on 2017/12/27?\", \"48 minutes\"], [\"who did I talk to on 2017/12/27?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2017/12/27?\", \"yes\"], [\"Did I talk to anyone on 2017/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/28\": {\"exercise\": {\"eid\": \"e5086\", \"logical_representation\": [\"2017/12/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2017/12/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2017/12/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5087\", \"logical_representation\": [\"2017/12/28\", \"breakfast\", \"cereals\", \"Layla, Nevaeh, Olivia, Hazel, Claire, Nora, Rylee\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2017/12/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5088\", \"logical_representation\": [\"2017/12/28\", \"a movie\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2017/12/28?\", \"20 minutes\"], [\"what did I watch on tv on 2017/12/28?\", \"a movie\"], [\"Did I watch tv on 2017/12/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2017/12/29\": {\"dinner\": {\"eid\": \"e5089\", \"logical_representation\": [\"2017/12/29\", \"dinner\", \"a burger\", \"Layla, Nora, Kinsley, Lydia, Avery, Piper\"], \"text_template_based\": \"I had a burger for dinner with Layla, Nora, Kinsley, Lydia, Avery, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2017/12/29?\", \"Layla, Nora, Kinsley, Lydia, Avery, Piper\"], [\"what did I eat for dinner on 2017/12/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5090\", \"logical_representation\": [\"2017/12/29\", \"Olivia\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I talked to Olivia for 15 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the morning on 2017/12/29?\", \"15 minutes\"], [\"who did I talk to on 2017/12/29?\", \"Olivia\"], [\"Did I talk to Olivia on 2017/12/29?\", \"yes\"], [\"Did I talk to anyone on 2017/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5091\", \"logical_representation\": [\"2017/12/29\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2017/12/29?\", \"26 minutes\"], [\"what did I read on 2017/12/29?\", \"social media\"], [\"Did I read on 2017/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5092\", \"logical_representation\": [\"2017/12/29\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a tv 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\"logical_representation\": [\"2018/11/08\", \"lunch\", \"sushi\", \"Andrew, Emily\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/11/08\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2018/07/14\": {\"parent_medical_care\": {\"eid\": \"e5113\", \"logical_representation\": [\"2018/07/14\", \"I took my parents for their for an annual dental cleaning and checkup on 2018/07/14 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I took my parents for their for an annual dental cleaning and checkup on 2018/07/14 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2018?\", \"2018/07/14\"], [\"what did I do on 2018/07/14\", \"I took my parents for their for an annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": 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I bought some watermelons, pears, raspberries, guava juice, pineapple juice, chocolate milk, and conditioner, toothpaste, body lotion, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/01/13?\", \"watermelons, pears, raspberries, guava juice, pineapple juice, chocolate milk, and conditioner, toothpaste, body lotion, mouthwash\"], [\"what fruits did I buy from the grocery store on 2018/01/13?\", \"watermelons, pears, raspberries\"], [\"what drinks did I buy from the grocery store on 2018/01/13?\", \"guava juice, pineapple juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2018/01/13?\", \"conditioner, toothpaste, body lotion, mouthwash\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5214\", \"logical_representation\": [\"2018/01/13\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/01/13?\", \"14 minutes\"], [\"what did I read on 2018/01/13?\", \"a book\"], [\"Did I read on 2018/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/18\": {\"dating\": {\"eid\": \"e5115\", \"logical_representation\": [\"2018/01/18\", \"Isla\", \"a park\"], \"text_template_based\": \"On 2018/01/18, I took Isla on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/01/18\", \"Isla\"], [\"where did I go for the date on 2018/01/18\", \"a park\"]], \"multihop_qa_pairs\": []}}, \"2018/01/17\": {\"hobbies\": {\"eid\": \"e5116\", \"logical_representation\": [\"2018/01/17\", \"I really enjoyed meditation on 2018/01/17\", \"meditation\", \"Emily, Carter\"], \"text_template_based\": \"I really enjoyed meditation on 2018/01/17\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2018/01/17\"], [\"On 2018/01/17, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5221\", \"logical_representation\": [\"2018/01/17\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/17?\", \"33 minutes\"], [\"what did I watch on tv on 2018/01/17?\", \"a movie\"], [\"Did I watch tv on 2018/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/20\": {\"hobbies\": {\"eid\": \"e5117\", \"logical_representation\": [\"2018/01/20\", \"I spent some time gardening on 2018/01/20.\", \"gardening\", \"Avery\"], \"text_template_based\": \"I spent some time gardening on 2018/01/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2018/01/20\"], [\"On 2018/01/20, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5225\", \"logical_representation\": [\"2018/01/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/01/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5226\", \"logical_representation\": [\"2018/01/20\", \"Claire, Lydia, Nora, Nevaeh\", \"late in the evening\", \"7 minutes\"], \"text_template_based\": \"I talked to Claire, Lydia, Nora, Nevaeh for 7 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia, Nora, Nevaeh late in the evening on 2018/01/20?\", \"7 minutes\"], [\"who did I talk to on 2018/01/20?\", \"Claire, Lydia, Nora, Nevaeh\"], [\"Did I talk to Claire, Lydia, Nora, Nevaeh on 2018/01/20?\", \"yes\"], [\"Did I talk to anyone on 2018/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/19\": {\"grocery\": {\"eid\": \"e5118\", \"logical_representation\": [\"2018/01/19\", \"I bought some cherres, coffee, guava juice, tea, mineral water, toothpaste from the grocery store. 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I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/02/24?\", \"Avery, Hazel, Kinsley, Rylee, Piper, Piper, Nora, Olivia, Eva\"], [\"what did I eat for lunch on 2018/02/24\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2018/02/27\": {\"hobbies\": {\"eid\": \"e5126\", \"logical_representation\": [\"2018/02/27\", \"I really enjoyed learning a language on 2018/02/27\", \"learning a language\", \"Emily, Kayden\"], \"text_template_based\": \"I really enjoyed learning a language on 2018/02/27\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2018/02/27\"], [\"On 2018/02/27, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5280\", \"logical_representation\": [\"2018/02/27\", \"Piper, Olivia\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the early afternoon on 2018/02/27?\", \"36 minutes\"], [\"who did I talk to on 2018/02/27?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2018/02/27?\", \"yes\"], [\"Did I talk to anyone on 2018/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/26\": {\"grocery\": {\"eid\": \"e5127\", \"logical_representation\": [\"2018/02/26\", \"I went grocery shopping with Andrew. I bought some guava, blueberries, soda, and shampoo\", \"guava, blueberries\", \"soda\", \"shampoo\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping with Andrew. I bought some guava, blueberries, soda, and shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/02/26?\", \"guava, blueberries, soda, and shampoo\"], [\"what fruits did I buy from the grocery store on 2018/02/26?\", \"guava, blueberries\"], [\"what drinks did I buy from the grocery store on 2018/02/26?\", \"soda\"], [\"what toiletries did I buy from the grocery store on 2018/02/26?\", \"shampoo\"], [\"who was with me at the grocery store on 2018/02/26?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5278\", \"logical_representation\": [\"2018/02/26\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/02/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/26?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5279\", \"logical_representation\": [\"2018/02/26\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/02/26?\", \"46 minutes\"], [\"what did I read on 2018/02/26?\", \"social media\"], [\"Did I read on 2018/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/10\": {\"dating\": {\"eid\": \"e5128\", \"logical_representation\": [\"2018/03/10\", \"Charles\", \"a restaurant\"], \"text_template_based\": \"On 2018/03/10, I took Charles on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/03/10\", \"Charles\"], [\"where did I go for the date on 2018/03/10\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5294\", \"logical_representation\": [\"2018/03/10\", \"lunch\", \"pasta\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/10\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2018/03/11\": {\"grocery\": {\"eid\": \"e5129\", \"logical_representation\": [\"2018/03/11\", \"I went grocery shopping with Lydia, Claire, Kinsley. I bought some watermelons, bananas, pineapples, guava juice, orange juice, pineapple juice, milk, and mouthwash, conditioner\", \"watermelons, bananas, pineapples\", \"guava juice, orange juice, pineapple juice, milk\", \"mouthwash, conditioner\", \"Lydia, Claire, Kinsley\"], \"text_template_based\": \"I went grocery shopping with Lydia, Claire, Kinsley. I bought some watermelons, bananas, pineapples, guava juice, orange juice, pineapple juice, milk, and mouthwash, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/03/11?\", \"watermelons, bananas, pineapples, guava juice, orange juice, pineapple juice, milk, and mouthwash, conditioner\"], [\"what fruits did I buy from the grocery store on 2018/03/11?\", \"watermelons, bananas, pineapples\"], [\"what drinks did I buy from the grocery store on 2018/03/11?\", \"guava juice, orange juice, pineapple juice, milk\"], [\"what toiletries did I buy from the grocery store on 2018/03/11?\", \"mouthwash, conditioner\"], [\"who was with me at the grocery store on 2018/03/11?\", \"Lydia, Claire, Kinsley\"]], \"multihop_qa_pairs\": []}}, \"2018/03/30\": {\"hobbies\": {\"eid\": \"e5130\", \"logical_representation\": [\"2018/03/30\", \"I spent time learning a language on 2018/03/30 with Avery.\", \"learning a language\", \"Avery\"], \"text_template_based\": \"I spent time learning a language on 2018/03/30 with Avery.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Avery?\", \"2018/03/30\"], [\"On 2018/03/30, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2018/03/30?\", \"Avery\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5323\", \"logical_representation\": [\"2018/03/30\", \"dinner\", \"indian food\", \"Avery, Nora, Nevaeh, Olivia, Eva, Piper, Lydia, Piper, Kinsley, Hazel, Rylee\"], \"text_template_based\": \"I had indian food for dinner with Avery, Nora, Nevaeh, Olivia, Eva, Piper, Lydia, Piper, Kinsley, Hazel, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/03/30?\", \"Avery, Nora, Nevaeh, Olivia, Eva, Piper, Lydia, Piper, Kinsley, Hazel, Rylee\"], [\"what did I eat for dinner on 2018/03/30\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2018/03/28\": {\"grocery\": {\"eid\": \"e5131\", \"logical_representation\": [\"2018/03/28\", \"I went grocery shopping. I bought some apples, blueberries, pineapples, tea, orange juice, and toilet paper, paper towel, shaving cream, mouth wash\", \"apples, blueberries, pineapples\", \"tea, orange juice\", \"toilet paper, paper towel, shaving cream, mouth wash\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, blueberries, pineapples, tea, orange juice, and toilet paper, paper towel, shaving cream, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/03/28?\", \"apples, blueberries, pineapples, tea, orange juice, and toilet paper, paper towel, shaving cream, mouth wash\"], [\"what fruits did I buy from the grocery store on 2018/03/28?\", \"apples, blueberries, pineapples\"], [\"what drinks did I buy from the grocery store on 2018/03/28?\", \"tea, orange juice\"], [\"what toiletries did I buy from the grocery store on 2018/03/28?\", \"toilet paper, paper towel, shaving cream, mouth wash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5321\", \"logical_representation\": [\"2018/03/28\", \"Rylee, Lydia, Piper, Piper\", \"in the early evening\", \"31 minutes\"], \"text_template_based\": \"I talked to Rylee, Lydia, Piper, Piper for 31 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Piper, Piper in the early evening on 2018/03/28?\", \"31 minutes\"], [\"who did I talk to on 2018/03/28?\", \"Rylee, Lydia, Piper, Piper\"], [\"Did I talk to Rylee, Lydia, Piper, Piper on 2018/03/28?\", \"yes\"], [\"Did I talk to anyone on 2018/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5322\", \"logical_representation\": [\"2018/03/28\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/03/28?\", \"5 minutes\"], [\"what did I read on 2018/03/28?\", \"news\"], [\"Did I read on 2018/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/31\": {\"grocery\": {\"eid\": \"e5132\", \"logical_representation\": [\"2018/03/31\", \"I bought some guava, clementines, pears, guava juice, tea, sports drinks, toothbrush, facial wash from the grocery store. I saw Willow, Jackson, Avery at the grocery store.\", \"guava, clementines, pears\", \"guava juice, tea, sports drinks\", \"toothbrush, facial wash\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I bought some guava, clementines, pears, guava juice, tea, sports drinks, toothbrush, facial wash from the grocery store. I saw Willow, Jackson, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/03/31?\", \"guava, clementines, pears, guava juice, tea, sports drinks, and toothbrush, facial wash\"], [\"what fruits did I buy from the grocery store on 2018/03/31?\", \"guava, clementines, pears\"], [\"what drinks did I buy from the grocery store on 2018/03/31?\", \"guava juice, tea, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2018/03/31?\", \"toothbrush, facial wash\"], [\"who did I see at the grocery store on 2018/03/31?\", \"Willow, Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5324\", \"logical_representation\": [\"2018/03/31\", \"breakfast\", \"oatmeal\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had oatmeal for breakfast with Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/03/31?\", \"Kayden, Emily, Carter\"], [\"what did I eat for breakfast on 2018/03/31\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2018/04/02\": {\"dating\": {\"eid\": \"e5133\", \"logical_representation\": [\"2018/04/02\", \"Henry\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Henry on 2018/04/02 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/04/02\", \"Henry\"], [\"where did I go for the date on 2018/04/02\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5327\", \"logical_representation\": [\"2018/04/02\", \"breakfast\", \"toast and cheese\", \"Willow\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5328\", \"logical_representation\": [\"2018/04/02\", \"dinner\", \"fish and chips\", \"Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2018/04/09\": {\"dating\": {\"eid\": \"e5134\", \"logical_representation\": [\"2018/04/09\", \"Jaxon\", \"a coffee Shop\"], \"text_template_based\": \"On 2018/04/09, I took Jaxon on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/04/09\", \"Jaxon\"], [\"where did I go for the date on 2018/04/09\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5334\", \"logical_representation\": [\"2018/04/09\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/04/09?\", \"24 minutes\"], [\"what did I read on 2018/04/09?\", \"a book\"], [\"Did I read on 2018/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/12\": {\"dating\": {\"eid\": \"e5135\", \"logical_representation\": [\"2018/04/12\", \"Nathan\", \"a restaurant\"], \"text_template_based\": \"On 2018/04/12, I took Nathan on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/04/12\", \"Nathan\"], [\"where did I go for the date on 2018/04/12\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5338\", \"logical_representation\": [\"2018/04/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/04/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5339\", \"logical_representation\": [\"2018/04/12\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5340\", \"logical_representation\": [\"2018/04/12\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/12?\", \"11 minutes\"], [\"what did I watch on tv on 2018/04/12?\", \"news\"], [\"Did I watch tv on 2018/04/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/13\": {\"grocery\": {\"eid\": \"e5136\", \"logical_representation\": [\"2018/04/13\", \"I went grocery shopping with Avery, Kinsley, Nevaeh, Olivia, Piper, Hazel, Rylee, Lydia. I bought some blackberries, milk, mango juice, pineapple juice, and paper towel, shaving cream, toothbrush\", \"blackberries\", \"milk, mango juice, pineapple juice\", \"paper towel, shaving cream, toothbrush\", \"Avery, Kinsley, Nevaeh, Olivia, Piper, Hazel, Rylee, Lydia\"], \"text_template_based\": \"I went grocery shopping with Avery, Kinsley, Nevaeh, Olivia, Piper, Hazel, Rylee, Lydia. I bought some blackberries, milk, mango juice, pineapple juice, and paper towel, shaving cream, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/04/13?\", \"blackberries, milk, mango juice, pineapple juice, and paper towel, shaving cream, toothbrush\"], [\"what fruits did I buy from the grocery store on 2018/04/13?\", \"blackberries\"], [\"what drinks did I buy from the grocery store on 2018/04/13?\", \"milk, mango juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2018/04/13?\", \"paper towel, shaving cream, toothbrush\"], [\"who was with me at the grocery store on 2018/04/13?\", \"Avery, Kinsley, Nevaeh, Olivia, Piper, Hazel, Rylee, Lydia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5341\", \"logical_representation\": [\"2018/04/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/04/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5342\", \"logical_representation\": [\"2018/04/13\", \"Claire, Kinsley, Layla, Lydia\", \"in the early evening\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Claire, Kinsley, Layla, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Layla, Lydia in the early evening on 2018/04/13?\", \"50 minutes\"], [\"who did I talk to on 2018/04/13?\", \"Claire, Kinsley, Layla, Lydia\"], [\"Did I talk to Claire, Kinsley, Layla, Lydia on 2018/04/13?\", \"yes\"], [\"Did I talk to anyone on 2018/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5343\", \"logical_representation\": [\"2018/04/13\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/04/13?\", \"38 minutes\"], [\"what did I read on 2018/04/13?\", \"a book\"], [\"Did I read on 2018/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/21\": {\"dating\": {\"eid\": \"e5137\", \"logical_representation\": [\"2018/04/21\", \"David\", \"a park\"], \"text_template_based\": \"On 2018/04/21, I took David on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/04/21\", \"David\"], [\"where did I go for the date on 2018/04/21\", \"a park\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5357\", \"logical_representation\": [\"2018/04/21\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I watched a movie for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/21?\", \"14 minutes\"], [\"what did I watch on tv on 2018/04/21?\", \"a movie\"], [\"Did I watch tv on 2018/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/22\": {\"grocery\": {\"eid\": \"e5138\", \"logical_representation\": [\"2018/04/22\", \"I went grocery shopping with Nora, Nevaeh, Avery, Olivia, Kinsley. I bought some blueberries, pears, chocolate milk, guava juice, and toothbrush, facial wash, mouthwash\", \"blueberries, pears\", \"chocolate milk, guava juice\", \"toothbrush, facial wash, mouthwash\", \"Nora, Nevaeh, Avery, Olivia, Kinsley\"], \"text_template_based\": \"I went grocery shopping with Nora, Nevaeh, Avery, Olivia, Kinsley. I bought some blueberries, pears, chocolate milk, guava juice, and toothbrush, facial wash, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/04/22?\", \"blueberries, pears, chocolate milk, guava juice, and toothbrush, facial wash, mouthwash\"], [\"what fruits did I buy from the grocery store on 2018/04/22?\", \"blueberries, pears\"], [\"what drinks did I buy from the grocery store on 2018/04/22?\", \"chocolate milk, guava juice\"], [\"what toiletries did I buy from the grocery store on 2018/04/22?\", \"toothbrush, facial wash, mouthwash\"], [\"who was with me at the grocery store on 2018/04/22?\", \"Nora, Nevaeh, Avery, Olivia, Kinsley\"]], \"multihop_qa_pairs\": []}}, \"2018/05/02\": {\"cook\": {\"eid\": \"e5139\", \"logical_representation\": [\"2018/05/02\", \"I really enjoyed cooking broccoli-stuffed chicken, lo mein, gado gado on 2018/05/02 with Carter, Andrew at my place\", \"cook\", \"broccoli-stuffed chicken, lo mein, gado gado\", \"Carter, Andrew\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking broccoli-stuffed chicken, lo mein, gado gado on 2018/05/02 with Carter, Andrew at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  broccoli-stuffed chicken, lo mein, gado gado with Carter, Andrew?\", \"2018/05/02\"], [\"what did I  on 2018/05/02?\", \"broccoli-stuffed chicken, lo mein, gado gado\"], [\"who was I with when I  broccoli-stuffed chicken, lo mein, gado gado on 2018/05/02?\", \"Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5374\", \"logical_representation\": [\"2018/05/02\", \"Hazel, Claire, Eva\", \"during lunch hours\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Hazel, Claire, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Eva during lunch hours on 2018/05/02?\", \"22 minutes\"], [\"who did I talk to on 2018/05/02?\", \"Hazel, Claire, Eva\"], [\"Did I talk to Hazel, Claire, Eva on 2018/05/02?\", \"yes\"], [\"Did I talk to anyone on 2018/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/30\": {\"grocery\": {\"eid\": \"e5140\", \"logical_representation\": [\"2018/04/30\", \"I bought some oranges, blackberries, mangos, watermelons, milk, guava juice, sports drinks, mouth wash, facial wash, paper towel, toilet paper from the grocery store. I saw Willow at the grocery store.\", \"oranges, blackberries, mangos, watermelons\", \"milk, guava juice, sports drinks\", \"mouth wash, facial wash, paper towel, toilet paper\", \"Willow\"], \"text_template_based\": \"I bought some oranges, blackberries, mangos, watermelons, milk, guava juice, sports drinks, mouth wash, facial wash, paper towel, toilet paper from the grocery store. I saw Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/04/30?\", \"oranges, blackberries, mangos, watermelons, milk, guava juice, sports drinks, and mouth wash, facial wash, paper towel, toilet paper\"], [\"what fruits did I buy from the grocery store on 2018/04/30?\", \"oranges, blackberries, mangos, watermelons\"], [\"what drinks did I buy from the grocery store on 2018/04/30?\", \"milk, guava juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2018/04/30?\", \"mouth wash, facial wash, paper towel, toilet paper\"], [\"who did I see at the grocery store on 2018/04/30?\", \"Willow\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5370\", \"logical_representation\": [\"2018/04/30\", \"Hazel, Olivia, Claire, Piper\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I talked to Hazel, Olivia, Claire, Piper for 44 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia, Claire, Piper in the morning on 2018/04/30?\", \"44 minutes\"], [\"who did I talk to on 2018/04/30?\", \"Hazel, Olivia, Claire, Piper\"], [\"Did I talk to Hazel, Olivia, Claire, Piper on 2018/04/30?\", \"yes\"], [\"Did I talk to anyone on 2018/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5371\", \"logical_representation\": [\"2018/04/30\", \"a movie\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/30?\", \"55 minutes\"], [\"what did I watch on tv on 2018/04/30?\", \"a movie\"], [\"Did I watch tv on 2018/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/10\": {\"grocery\": {\"eid\": \"e5141\", \"logical_representation\": [\"2018/05/10\", \"I bought some pears, mango juice, milk, pineapple juice, shampoo from the grocery store. I saw Emily, Andrew, Kayden at the grocery store.\", \"pears\", \"mango juice, milk, pineapple juice\", \"shampoo\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I bought some pears, mango juice, milk, pineapple juice, shampoo from the grocery store. I saw Emily, Andrew, Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/05/10?\", \"pears, mango juice, milk, pineapple juice, and shampoo\"], [\"what fruits did I buy from the grocery store on 2018/05/10?\", \"pears\"], [\"what drinks did I buy from the grocery store on 2018/05/10?\", \"mango juice, milk, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2018/05/10?\", \"shampoo\"], [\"who did I see at the grocery store on 2018/05/10?\", \"Emily, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}}, \"2018/05/17\": {\"dating\": {\"eid\": \"e5142\", \"logical_representation\": [\"2018/05/17\", \"Owen\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Owen on 2018/05/17 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/05/17\", \"Owen\"], [\"where did I go for the date on 2018/05/17\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5397\", \"logical_representation\": [\"2018/05/17\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had pancakes for breakfast with Emily, Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/05/17?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2018/05/17\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5398\", \"logical_representation\": [\"2018/05/17\", \"Eva, Nevaeh, Rylee, Layla\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Eva, Nevaeh, Rylee, Layla for 9 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Rylee, Layla in the early evening on 2018/05/17?\", \"9 minutes\"], [\"who did I talk to on 2018/05/17?\", \"Eva, Nevaeh, Rylee, Layla\"], [\"Did I talk to Eva, Nevaeh, Rylee, Layla on 2018/05/17?\", \"yes\"], [\"Did I talk to anyone on 2018/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5399\", \"logical_representation\": [\"2018/05/17\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I watched a tv series for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/17?\", \"49 minutes\"], [\"what did I watch on tv on 2018/05/17?\", \"a tv series\"], [\"Did I watch tv on 2018/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/27\": {\"bake\": {\"eid\": \"e5143\", \"logical_representation\": [\"2018/05/27\", \"I really enjoyed baking blackberry-raspberry skillet cobbler on 2018/05/27 with Lydia at my place\", \"bake\", \"blackberry-raspberry skillet cobbler\", \"Lydia\", \"my place\"], \"text_template_based\": \"I really enjoyed baking blackberry-raspberry skillet cobbler on 2018/05/27 with Lydia at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  blackberry-raspberry skillet cobbler with Lydia?\", \"2018/05/27\"], [\"what did I  on 2018/05/27?\", \"blackberry-raspberry skillet cobbler\"], [\"who was I with when I  blackberry-raspberry skillet cobbler on 2018/05/27?\", \"Lydia\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5413\", \"logical_representation\": [\"2018/05/27\", \"Piper, Eva, Layla\", \"late in the evening\", \"16 minutes\"], \"text_template_based\": \"I spent 16 talking to Piper, Eva, Layla on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Layla late in the evening on 2018/05/27?\", \"16 minutes\"], [\"who did I talk to on 2018/05/27?\", \"Piper, Eva, Layla\"], [\"Did I talk to Piper, Eva, Layla on 2018/05/27?\", \"yes\"], [\"Did I talk to anyone on 2018/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/22\": {\"hobbies\": {\"eid\": \"e5144\", \"logical_representation\": [\"2018/05/22\", \"I really enjoyed gardening on 2018/05/22\", \"gardening\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I really enjoyed gardening on 2018/05/22\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2018/05/22\"], [\"On 2018/05/22, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5402\", \"logical_representation\": [\"2018/05/22\", \"dinner\", \"indian food\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/22\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5403\", \"logical_representation\": [\"2018/05/22\", \"Claire, Piper, Nevaeh, Layla\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Nevaeh, Layla for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Nevaeh, Layla during lunch hours on 2018/05/22?\", \"31 minutes\"], [\"who did I talk to on 2018/05/22?\", \"Claire, Piper, Nevaeh, Layla\"], [\"Did I talk to Claire, Piper, Nevaeh, Layla on 2018/05/22?\", \"yes\"], [\"Did I talk to anyone on 2018/05/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/26\": {\"hobbies\": {\"eid\": \"e5145\", \"logical_representation\": [\"2018/05/26\", \"I really enjoyed meditation on 2018/05/26\", \"meditation\", \"Carter, Kayden\"], \"text_template_based\": \"I really enjoyed meditation on 2018/05/26\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2018/05/26\"], [\"On 2018/05/26, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e5146\", \"logical_representation\": [\"2018/05/26\", \"I bought some apricots, raspberries, cherres, clementines, coffee, shampoo, facial wash from the grocery store. I saw Kayden, Emily, Carter, Andrew at the grocery store.\", \"apricots, raspberries, cherres, clementines\", \"coffee\", \"shampoo, facial wash\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I bought some apricots, raspberries, cherres, clementines, coffee, shampoo, facial wash from the grocery store. I saw Kayden, Emily, Carter, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/05/26?\", \"apricots, raspberries, cherres, clementines, coffee, and shampoo, facial wash\"], [\"what fruits did I buy from the grocery store on 2018/05/26?\", \"apricots, raspberries, cherres, clementines\"], [\"what drinks did I buy from the grocery store on 2018/05/26?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2018/05/26?\", \"shampoo, facial wash\"], [\"who did I see at the grocery store on 2018/05/26?\", \"Kayden, Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5411\", \"logical_representation\": [\"2018/05/26\", \"Avery, Layla, Lydia\", \"during lunch hours\", \"22 minutes\"], \"text_template_based\": \"I talked to Avery, Layla, Lydia for 22 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Lydia during lunch hours on 2018/05/26?\", \"22 minutes\"], [\"who did I talk to on 2018/05/26?\", \"Avery, Layla, Lydia\"], [\"Did I talk to Avery, Layla, Lydia on 2018/05/26?\", \"yes\"], [\"Did I talk to anyone on 2018/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5412\", \"logical_representation\": [\"2018/05/26\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/05/26?\", \"47 minutes\"], [\"what did I read on 2018/05/26?\", \"social media\"], [\"Did I read on 2018/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/28\": {\"grocery\": {\"eid\": \"e5147\", \"logical_representation\": [\"2018/05/28\", \"I bought some clementines, mango juice, shaving cream, conditioner, body lotion from the grocery store. I saw Rylee, Avery, Eva at the grocery store.\", \"clementines\", \"mango juice\", \"shaving cream, conditioner, body lotion\", \"Rylee, Avery, Eva\"], \"text_template_based\": \"I bought some clementines, mango juice, shaving cream, conditioner, body lotion from the grocery store. I saw Rylee, Avery, Eva at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/05/28?\", \"clementines, mango juice, and shaving cream, conditioner, body lotion\"], [\"what fruits did I buy from the grocery store on 2018/05/28?\", \"clementines\"], [\"what drinks did I buy from the grocery store on 2018/05/28?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2018/05/28?\", \"shaving cream, conditioner, body lotion\"], [\"who did I see at the grocery store on 2018/05/28?\", \"Rylee, Avery, Eva\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5414\", \"logical_representation\": [\"2018/05/28\", \"Lydia, Eva, Layla, Nora\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva, Layla, Nora for 20 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Layla, Nora during lunch hours on 2018/05/28?\", \"20 minutes\"], [\"who did I talk to on 2018/05/28?\", \"Lydia, Eva, Layla, Nora\"], [\"Did I talk to Lydia, Eva, Layla, Nora on 2018/05/28?\", \"yes\"], [\"Did I talk to anyone on 2018/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5415\", \"logical_representation\": [\"2018/05/28\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/05/28?\", \"20 minutes\"], [\"what did I read on 2018/05/28?\", \"news\"], [\"Did I read on 2018/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5416\", \"logical_representation\": [\"2018/05/28\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/28?\", \"25 minutes\"], [\"what did I watch on tv on 2018/05/28?\", \"news\"], [\"Did I watch tv on 2018/05/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/17\": {\"dating\": {\"eid\": \"e5148\", \"logical_representation\": [\"2018/06/17\", \"Daniel\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Daniel on 2018/06/17 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/06/17\", \"Daniel\"], [\"where did I go for the date on 2018/06/17\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5441\", \"logical_representation\": [\"2018/06/17\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Emily. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/06/17?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2018/06/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5442\", \"logical_representation\": [\"2018/06/17\", \"a documentary\", \"34 minutes\"], \"text_template_based\": \"I watched a documentary for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/17?\", \"34 minutes\"], [\"what did I watch on tv on 2018/06/17?\", \"a documentary\"], [\"Did I watch tv on 2018/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/16\": {\"grocery\": {\"eid\": \"e5149\", \"logical_representation\": [\"2018/06/16\", \"I went grocery shopping. I bought some pineapples, bananas, oranges, clementines, chocolate milk, and paper towel, toothpaste\", \"pineapples, bananas, oranges, clementines\", \"chocolate milk\", \"paper towel, toothpaste\", \"Olivia, Rylee, Nora, Eva, Piper, Piper, Avery, Claire, Lydia, Layla, Kinsley, Nevaeh, Hazel\"], \"text_template_based\": \"I went grocery shopping. I bought some pineapples, bananas, oranges, clementines, chocolate milk, and paper towel, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/06/16?\", \"pineapples, bananas, oranges, clementines, chocolate milk, and paper towel, toothpaste\"], [\"what fruits did I buy from the grocery store on 2018/06/16?\", \"pineapples, bananas, oranges, clementines\"], [\"what drinks did I buy from the grocery store on 2018/06/16?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2018/06/16?\", \"paper towel, toothpaste\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5440\", \"logical_representation\": [\"2018/06/16\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/16?\", \"33 minutes\"], [\"what did I watch on tv on 2018/06/16?\", \"a movie\"], [\"Did I watch tv on 2018/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/19\": {\"hobbies\": {\"eid\": \"e5150\", \"logical_representation\": [\"2018/06/19\", \"I spent time yoga on 2018/06/19 with Benjamin.\", \"yoga\", \"Benjamin\"], \"text_template_based\": \"I spent time yoga on 2018/06/19 with Benjamin.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Benjamin?\", \"2018/06/19\"], [\"On 2018/06/19, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2018/06/19?\", \"Benjamin\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5444\", \"logical_representation\": [\"2018/06/19\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/06/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/19?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5445\", \"logical_representation\": [\"2018/06/19\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/06/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2018/06/29\": {\"dating\": {\"eid\": \"e5151\", \"logical_representation\": [\"2018/06/29\", \"Elijah\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Elijah on 2018/06/29 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/06/29\", \"Elijah\"], [\"where did I go for the date on 2018/06/29\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5456\", \"logical_representation\": [\"2018/06/29\", \"dinner\", \"sandwich\", \"Layla, Hazel, Olivia, Lydia, Nevaeh, Piper, Eva, Kinsley, Piper, Avery, Rylee, Claire, Nora\"], \"text_template_based\": \"I had sandwich for dinner with Layla, Hazel, Olivia, Lydia, Nevaeh, Piper, Eva, Kinsley, Piper, Avery, Rylee, Claire, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/06/29?\", \"Layla, Hazel, Olivia, Lydia, Nevaeh, Piper, Eva, Kinsley, Piper, Avery, Rylee, Claire, Nora\"], [\"what did I eat for dinner on 2018/06/29\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2018/06/28\": {\"hobbies\": {\"eid\": \"e5152\", \"logical_representation\": [\"2018/06/28\", \"I spent some time meditation on 2018/06/28.\", \"meditation\", \"Kayden, Andrew\"], \"text_template_based\": \"I spent some time meditation on 2018/06/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2018/06/28\"], [\"On 2018/06/28, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5455\", \"logical_representation\": [\"2018/06/28\", \"Piper, Kinsley\", \"late in the evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley for 36 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley late in the evening on 2018/06/28?\", \"36 minutes\"], [\"who did I talk to on 2018/06/28?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2018/06/28?\", \"yes\"], [\"Did I talk to anyone on 2018/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/04\": {\"bake\": {\"eid\": \"e5153\", \"logical_representation\": [\"2018/07/04\", \"I entertained Jackson, Willow, Benjamin at my place on 2018/07/04 and bake peanut butter cookies, chocolate chip cookie in a mug, carrot cake\", \"bake\", \"peanut butter cookies, chocolate chip cookie in a mug, carrot cake\", \"Jackson, Willow, Benjamin\", \"my place\"], \"text_template_based\": \"I entertained Jackson, Willow, Benjamin at my place on 2018/07/04 and bake peanut butter cookies, chocolate chip cookie in a mug, carrot cake\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake peanut butter cookies, chocolate chip cookie in a mug, carrot cake with Jackson, Willow, Benjamin?\", \"2018/07/04\"], [\"what did I bake on 2018/07/04?\", \"peanut butter cookies, chocolate chip cookie in a mug, carrot cake\"], [\"who was I with when I  peanut butter cookies, chocolate chip cookie in a mug, carrot cake on 2018/07/04?\", \"Jackson, Willow, Benjamin\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5459\", \"logical_representation\": [\"2018/07/04\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/07/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/04?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5460\", \"logical_representation\": [\"2018/07/04\", \"lunch\", \"sushi\", \"Hazel, Nevaeh, Piper, Rylee, Layla\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/07/04\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2018/07/07\": {\"dating\": {\"eid\": \"e5154\", \"logical_representation\": [\"2018/07/07\", \"James\", \"a restaurant\"], \"text_template_based\": \"On 2018/07/07, I took James on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/07/07\", \"James\"], [\"where did I go for the date on 2018/07/07\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5466\", \"logical_representation\": [\"2018/07/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/07/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5467\", \"logical_representation\": [\"2018/07/07\", \"lunch\", \"tacos\", \"Andrew, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/07/07?\", \"Andrew, Carter\"], [\"what did I eat for lunch on 2018/07/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5468\", \"logical_representation\": [\"2018/07/07\", \"news\", \"18 minutes\"], \"text_template_based\": \"I watched news for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/07?\", \"18 minutes\"], [\"what did I watch on tv on 2018/07/07?\", \"news\"], [\"Did I watch tv on 2018/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/16\": {\"grocery\": {\"eid\": \"e5155\", \"logical_representation\": [\"2018/07/16\", \"I went grocery shopping with Kayden, Emily. I bought some blueberries, nectarines, pears, mangos, tea, and mouth wash, toothbrush, shampoo, toilet paper\", \"blueberries, nectarines, pears, mangos\", \"tea\", \"mouth wash, toothbrush, shampoo, toilet paper\", \"Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping with Kayden, Emily. I bought some blueberries, nectarines, pears, mangos, tea, and mouth wash, toothbrush, shampoo, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/07/16?\", \"blueberries, nectarines, pears, mangos, tea, and mouth wash, toothbrush, shampoo, toilet paper\"], [\"what fruits did I buy from the grocery store on 2018/07/16?\", \"blueberries, nectarines, pears, mangos\"], [\"what drinks did I buy from the grocery store on 2018/07/16?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2018/07/16?\", \"mouth wash, toothbrush, shampoo, toilet paper\"], [\"who was with me at the grocery store on 2018/07/16?\", \"Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5481\", \"logical_representation\": [\"2018/07/16\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/07/16?\", \"31 minutes\"], [\"what did I read on 2018/07/16?\", \"social media\"], [\"Did I read on 2018/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5482\", \"logical_representation\": [\"2018/07/16\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I watched a documentary for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/16?\", \"25 minutes\"], [\"what did I watch on tv on 2018/07/16?\", \"a documentary\"], [\"Did I watch tv on 2018/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/20\": {\"grocery\": {\"eid\": \"e5156\", \"logical_representation\": [\"2018/07/20\", \"I went grocery shopping with Kayden, Emily. I bought some guava, pears, pineapple juice, mango juice, tea, and mouthwash, toothpaste\", \"guava, pears\", \"pineapple juice, mango juice, tea\", \"mouthwash, toothpaste\", \"Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping with Kayden, Emily. I bought some guava, pears, pineapple juice, mango juice, tea, and mouthwash, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/07/20?\", \"guava, pears, pineapple juice, mango juice, tea, and mouthwash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2018/07/20?\", \"guava, pears\"], [\"what drinks did I buy from the grocery store on 2018/07/20?\", \"pineapple juice, mango juice, tea\"], [\"what toiletries did I buy from the grocery store on 2018/07/20?\", \"mouthwash, toothpaste\"], [\"who was with me at the grocery store on 2018/07/20?\", \"Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5486\", \"logical_representation\": [\"2018/07/20\", \"dinner\", \"indian food\", \"Piper, Rylee, Olivia, Avery, Nevaeh, Claire, Nora, Piper, Eva, Layla\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/07/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5487\", \"logical_representation\": [\"2018/07/20\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/20?\", \"11 minutes\"], [\"what did I watch on tv on 2018/07/20?\", \"news\"], [\"Did I watch tv on 2018/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/24\": {\"dating\": {\"eid\": \"e5157\", \"logical_representation\": [\"2018/07/24\", \"Autumn\", \"a restaurant\"], \"text_template_based\": \"On 2018/07/24, I took Autumn on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/07/24\", \"Autumn\"], [\"where did I go for the date on 2018/07/24\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5491\", \"logical_representation\": [\"2018/07/24\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/07/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/24?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5492\", \"logical_representation\": [\"2018/07/24\", \"breakfast\", \"toast and cheese\", \"Lydia, Claire, Layla, Piper, Avery, Hazel, Eva, Piper, Kinsley, Olivia, Nevaeh, Rylee\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2018/07/29\": {\"hobbies\": {\"eid\": \"e5158\", \"logical_representation\": [\"2018/07/29\", \"I spent time learning a language on 2018/07/29 with Willow, Avery.\", \"learning a language\", \"Willow, Avery\"], \"text_template_based\": \"I spent time learning a language on 2018/07/29 with Willow, Avery.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Willow, Avery?\", \"2018/07/29\"], [\"On 2018/07/29, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2018/07/29?\", \"Willow, Avery\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5498\", \"logical_representation\": [\"2018/07/29\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Olivia, Piper\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Rylee, Olivia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/07/29?\", \"Rylee, Olivia, Piper\"], [\"what did I eat for breakfast on 2018/07/29\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2018/08/06\": {\"hobbies\": {\"eid\": \"e5159\", \"logical_representation\": [\"2018/08/06\", \"I really enjoyed gardening on 2018/08/06\", \"gardening\", \"Lydia, Avery\"], \"text_template_based\": \"I really enjoyed gardening on 2018/08/06\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2018/08/06\"], [\"On 2018/08/06, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}}, \"2018/08/07\": {\"grocery\": {\"eid\": \"e5160\", \"logical_representation\": [\"2018/08/07\", \"I bought some clementines, guava juice, mouthwash online.\", \"clementines\", \"guava juice\", \"mouthwash\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I bought some clementines, guava juice, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/08/07?\", \"clementines, guava juice, and mouthwash\"], [\"what fruits did I buy online on 2018/08/07?\", \"clementines\"], [\"what drinks did I buy online on 2018/08/07?\", \"guava juice\"], [\"what toiletries did I buy online on 2018/08/07?\", \"mouthwash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5510\", \"logical_representation\": [\"2018/08/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/08/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/08/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5511\", \"logical_representation\": [\"2018/08/07\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/07?\", \"11 minutes\"], [\"what did I watch on tv on 2018/08/07?\", \"news\"], [\"Did I watch tv on 2018/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/09\": {\"grocery\": {\"eid\": \"e5161\", \"logical_representation\": [\"2018/08/09\", \"I went grocery shopping with Emily, Andrew, Kayden, Carter. I bought some pears, tea, and paper towel\", \"pears\", \"tea\", \"paper towel\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping with Emily, Andrew, Kayden, Carter. I bought some pears, tea, and paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/08/09?\", \"pears, tea, and paper towel\"], [\"what fruits did I buy from the grocery store on 2018/08/09?\", \"pears\"], [\"what drinks did I buy from the grocery store on 2018/08/09?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2018/08/09?\", \"paper towel\"], [\"who was with me at the grocery store on 2018/08/09?\", \"Emily, Andrew, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5513\", \"logical_representation\": [\"2018/08/09\", \"Piper, Nora\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Piper, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora during lunch hours on 2018/08/09?\", \"8 minutes\"], [\"who did I talk to on 2018/08/09?\", \"Piper, Nora\"], [\"Did I talk to Piper, Nora on 2018/08/09?\", \"yes\"], [\"Did I talk to anyone on 2018/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/19\": {\"dating\": {\"eid\": \"e5162\", \"logical_representation\": [\"2018/08/19\", \"Aaron\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Aaron on 2018/08/19 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/08/19\", \"Aaron\"], [\"where did I go for the date on 2018/08/19\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}}, \"2018/08/17\": {\"hobbies\": {\"eid\": \"e5163\", \"logical_representation\": [\"2018/08/17\", \"I spent time working out on 2018/08/17 with Kayden, Andrew.\", \"working out\", \"Kayden, Andrew\"], \"text_template_based\": \"I spent time working out on 2018/08/17 with Kayden, Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Kayden, Andrew?\", \"2018/08/17\"], [\"On 2018/08/17, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2018/08/17?\", \"Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5523\", \"logical_representation\": [\"2018/08/17\", \"lunch\", \"pasta\", \"Jackson, Avery\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/08/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5524\", \"logical_representation\": [\"2018/08/17\", \"Rylee, Avery\", \"in the morning\", \"33 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery for 33 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery in the morning on 2018/08/17?\", \"33 minutes\"], [\"who did I talk to on 2018/08/17?\", \"Rylee, Avery\"], [\"Did I talk to Rylee, Avery on 2018/08/17?\", \"yes\"], [\"Did I talk to anyone on 2018/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/21\": {\"dating\": {\"eid\": \"e5164\", \"logical_representation\": [\"2018/08/21\", \"Chris\", \"a boba shop\"], \"text_template_based\": \"On 2018/08/21, I took Chris on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/08/21\", \"Chris\"], [\"where did I go for the date on 2018/08/21\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e5165\", \"logical_representation\": [\"2018/08/21\", \"I really enjoyed yoga on 2018/08/21\", \"yoga\", \"Avery, Hazel, Kinsley\"], \"text_template_based\": \"I really enjoyed yoga on 2018/08/21\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2018/08/21\"], [\"On 2018/08/21, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}}, \"2018/08/20\": {\"grocery\": {\"eid\": \"e5166\", \"logical_representation\": [\"2018/08/20\", \"I went grocery shopping with Layla. I bought some blueberries, clementines, blackberries, mangos, coffee, and toothpaste\", \"blueberries, clementines, blackberries, mangos\", \"coffee\", \"toothpaste\", \"Layla\"], \"text_template_based\": \"I went grocery shopping with Layla. I bought some blueberries, clementines, blackberries, mangos, coffee, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/08/20?\", \"blueberries, clementines, blackberries, mangos, coffee, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2018/08/20?\", \"blueberries, clementines, blackberries, mangos\"], [\"what drinks did I buy from the grocery store on 2018/08/20?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2018/08/20?\", \"toothpaste\"], [\"who was with me at the grocery store on 2018/08/20?\", \"Layla\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5526\", \"logical_representation\": [\"2018/08/20\", \"dinner\", \"sushi\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had dinner with Avery, Jackson, Willow. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/08/20?\", \"Avery, Jackson, Willow\"], [\"what did I eat for dinner on 2018/08/20\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2018/08/27\": {\"grocery\": {\"eid\": \"e5167\", \"logical_representation\": [\"2018/08/27\", \"I bought some clementines, milk, mineral water, mango juice, pineapple juice, paper towel, shaving cream online.\", \"clementines\", \"milk, mineral water, mango juice, pineapple juice\", \"paper towel, shaving cream\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I bought some clementines, milk, mineral water, mango juice, pineapple juice, paper towel, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/08/27?\", \"clementines, milk, mineral water, mango juice, pineapple juice, and paper towel, shaving cream\"], [\"what fruits did I buy online on 2018/08/27?\", \"clementines\"], [\"what drinks did I buy online on 2018/08/27?\", \"milk, mineral water, mango juice, pineapple juice\"], [\"what toiletries did I buy online on 2018/08/27?\", \"paper towel, shaving cream\"]], \"multihop_qa_pairs\": []}}, \"2018/09/08\": {\"cook\": {\"eid\": \"e5168\", \"logical_representation\": [\"2018/09/08\", \"I was cooking chinese vegetable stir-fry, vietnamese coffee, cube steak and gravy on 2018/09/08 with Eva, Piper at my place\", \"cook\", \"chinese vegetable stir-fry, vietnamese coffee, cube steak and gravy\", \"Eva, Piper\", \"my place\"], \"text_template_based\": \"I was cooking chinese vegetable stir-fry, vietnamese coffee, cube steak and gravy on 2018/09/08 with Eva, Piper at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  chinese vegetable stir-fry, vietnamese coffee, cube steak and gravy with Eva, Piper?\", \"2018/09/08\"], [\"what did I  on 2018/09/08?\", \"chinese vegetable stir-fry, vietnamese coffee, cube steak and gravy\"], [\"who was I with when I  chinese vegetable stir-fry, vietnamese coffee, cube steak and gravy on 2018/09/08?\", \"Eva, Piper\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5549\", \"logical_representation\": [\"2018/09/08\", \"Rylee, Piper\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper for 25 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper late in the evening on 2018/09/08?\", \"25 minutes\"], [\"who did I talk to on 2018/09/08?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2018/09/08?\", \"yes\"], [\"Did I talk to anyone on 2018/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/04\": {\"dating\": {\"eid\": \"e5169\", \"logical_representation\": [\"2018/09/04\", \"Isaac\", \"a park\"], \"text_template_based\": \"I went on a date with Isaac on 2018/09/04 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/09/04\", \"Isaac\"], [\"where did I go for the date on 2018/09/04\", \"a park\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5545\", \"logical_representation\": [\"2018/09/04\", \"dinner\", \"a burger\", \"Avery\"], \"text_template_based\": \"I had dinner with Avery. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/09/04?\", \"Avery\"], [\"what did I eat for dinner on 2018/09/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5546\", \"logical_representation\": [\"2018/09/04\", \"Lydia\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Lydia for 55 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2018/09/04?\", \"55 minutes\"], [\"who did I talk to on 2018/09/04?\", \"Lydia\"], [\"Did I talk to Lydia on 2018/09/04?\", \"yes\"], [\"Did I talk to anyone on 2018/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/23\": {\"grocery\": {\"eid\": \"e5170\", \"logical_representation\": [\"2018/09/23\", \"I bought some apricots, strawberries, mandarins, cherres, coffee, mouthwash, toothbrush, toilet paper, shaving cream online.\", \"apricots, strawberries, mandarins, cherres\", \"coffee\", \"mouthwash, toothbrush, toilet paper, shaving cream\", \"Emily, Carter\"], \"text_template_based\": \"I bought some apricots, strawberries, mandarins, cherres, coffee, mouthwash, toothbrush, toilet paper, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/09/23?\", \"apricots, strawberries, mandarins, cherres, coffee, and mouthwash, toothbrush, toilet paper, shaving cream\"], [\"what fruits did I buy online on 2018/09/23?\", \"apricots, strawberries, mandarins, cherres\"], [\"what drinks did I buy online on 2018/09/23?\", \"coffee\"], [\"what toiletries did I buy online on 2018/09/23?\", \"mouthwash, toothbrush, toilet paper, shaving cream\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5569\", \"logical_representation\": [\"2018/09/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/09/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5570\", \"logical_representation\": [\"2018/09/23\", \"Nora, Nevaeh, Avery, Claire\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Nora, Nevaeh, Avery, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Avery, Claire in the early afternoon on 2018/09/23?\", \"53 minutes\"], [\"who did I talk to on 2018/09/23?\", \"Nora, Nevaeh, Avery, Claire\"], [\"Did I talk to Nora, Nevaeh, Avery, Claire on 2018/09/23?\", \"yes\"], [\"Did I talk to anyone on 2018/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/02\": {\"dating\": {\"eid\": \"e5171\", \"logical_representation\": [\"2018/10/02\", \"Piper\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Piper on 2018/10/02 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/10/02\", \"Piper\"], [\"where did I go for the date on 2018/10/02\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5585\", \"logical_representation\": [\"2018/10/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/10/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5586\", \"logical_representation\": [\"2018/10/02\", \"dinner\", \"pasta\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5587\", \"logical_representation\": [\"2018/10/02\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I watched a tv series for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/02?\", \"26 minutes\"], [\"what did I watch on tv on 2018/10/02?\", \"a tv series\"], [\"Did I watch tv on 2018/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/18\": {\"hobbies\": {\"eid\": \"e5172\", \"logical_representation\": [\"2018/10/18\", \"I spent some time gardening on 2018/10/18.\", \"gardening\", \"Benjamin, Jackson\"], \"text_template_based\": \"I spent some time gardening on 2018/10/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2018/10/18\"], [\"On 2018/10/18, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e5174\", \"logical_representation\": [\"2018/10/18\", \"I went grocery shopping with Willow. I bought some pineapples, nectarines, guava, apple juice, chocolate milk, soda, guava juice, and mouthwash, paper towel, conditioner\", \"pineapples, nectarines, guava\", \"apple juice, chocolate milk, soda, guava juice\", \"mouthwash, paper towel, conditioner\", \"Willow\"], \"text_template_based\": \"I went grocery shopping with Willow. I bought some pineapples, nectarines, guava, apple juice, chocolate milk, soda, guava juice, and mouthwash, paper towel, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/10/18?\", \"pineapples, nectarines, guava, apple juice, chocolate milk, soda, guava juice, and mouthwash, paper towel, conditioner\"], [\"what fruits did I buy from the grocery store on 2018/10/18?\", \"pineapples, nectarines, guava\"], [\"what drinks did I buy from the grocery store on 2018/10/18?\", \"apple juice, chocolate milk, soda, guava juice\"], [\"what toiletries did I buy from the grocery store on 2018/10/18?\", \"mouthwash, paper towel, conditioner\"], [\"who was with me at the grocery store on 2018/10/18?\", \"Willow\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5607\", \"logical_representation\": [\"2018/10/18\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/10/18?\", \"17 minutes\"], [\"what did I read on 2018/10/18?\", \"social media\"], [\"Did I read on 2018/10/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/16\": {\"grocery\": {\"eid\": \"e5173\", \"logical_representation\": [\"2018/10/16\", \"I bought some clementines, watermelons, chocolate milk, guava juice, tea, mouth wash, conditioner, body lotion, shampoo online.\", \"clementines, watermelons\", \"chocolate milk, guava juice, tea\", \"mouth wash, conditioner, body lotion, shampoo\", \"Layla, Kinsley\"], \"text_template_based\": \"I bought some clementines, watermelons, chocolate milk, guava juice, tea, mouth wash, conditioner, body lotion, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/10/16?\", \"clementines, watermelons, chocolate milk, guava juice, tea, and mouth wash, conditioner, body lotion, shampoo\"], [\"what fruits did I buy online on 2018/10/16?\", \"clementines, watermelons\"], [\"what drinks did I buy online on 2018/10/16?\", \"chocolate milk, guava juice, tea\"], [\"what toiletries did I buy online on 2018/10/16?\", \"mouth wash, conditioner, body lotion, shampoo\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5605\", \"logical_representation\": [\"2018/10/16\", \"dinner\", \"sushi\", \"Rylee, Nora, Nevaeh, Piper, Kinsley, Avery\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/16\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2018/10/28\": {\"dating\": {\"eid\": \"e5175\", \"logical_representation\": [\"2018/10/28\", \"Kinsley\", \"a coffee Shop\"], \"text_template_based\": \"On 2018/10/28, I took Kinsley on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/10/28\", \"Kinsley\"], [\"where did I go for the date on 2018/10/28\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e5177\", \"logical_representation\": [\"2018/10/28\", \"I bought some bananas, guava juice, toilet paper from the grocery store. I saw Emily, Carter, Andrew at the grocery store.\", \"bananas\", \"guava juice\", \"toilet paper\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I bought some bananas, guava juice, toilet paper from the grocery store. I saw Emily, Carter, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/10/28?\", \"bananas, guava juice, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2018/10/28?\", \"bananas\"], [\"what drinks did I buy from the grocery store on 2018/10/28?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2018/10/28?\", \"toilet paper\"], [\"who did I see at the grocery store on 2018/10/28?\", \"Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}}, \"2018/10/23\": {\"hobbies\": {\"eid\": \"e5176\", \"logical_representation\": [\"2018/10/23\", \"I spent time working out on 2018/10/23 with Carter.\", \"working out\", \"Carter\"], \"text_template_based\": \"I spent time working out on 2018/10/23 with Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Carter?\", \"2018/10/23\"], [\"On 2018/10/23, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2018/10/23?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5614\", \"logical_representation\": [\"2018/10/23\", \"Rylee, Eva, Hazel, Kinsley\", \"in the early evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Rylee, Eva, Hazel, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva, Hazel, Kinsley in the early evening on 2018/10/23?\", \"31 minutes\"], [\"who did I talk to on 2018/10/23?\", \"Rylee, Eva, Hazel, Kinsley\"], [\"Did I talk to Rylee, Eva, Hazel, Kinsley on 2018/10/23?\", \"yes\"], [\"Did I talk to anyone on 2018/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5615\", \"logical_representation\": [\"2018/10/23\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/10/23?\", \"22 minutes\"], [\"what did I read on 2018/10/23?\", \"a book\"], [\"Did I read on 2018/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/04\": {\"hobbies\": {\"eid\": \"e5178\", \"logical_representation\": [\"2018/11/04\", \"I really enjoyed gardening on 2018/11/04\", \"gardening\", \"Lydia, Avery\"], \"text_template_based\": \"I really enjoyed gardening on 2018/11/04\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2018/11/04\"], [\"On 2018/11/04, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5629\", \"logical_representation\": [\"2018/11/04\", \"breakfast\", \"oatmeal\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5630\", \"logical_representation\": [\"2018/11/04\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/11/04?\", \"31 minutes\"], [\"what did I read on 2018/11/04?\", \"news\"], [\"Did I read on 2018/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/06\": {\"grocery\": {\"eid\": \"e5179\", \"logical_representation\": [\"2018/11/06\", \"I went grocery shopping. I bought some peaches, sports drinks, and paper towel, toothbrush, shampoo\", \"peaches\", \"sports drinks\", \"paper towel, toothbrush, shampoo\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, sports drinks, and paper towel, toothbrush, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/11/06?\", \"peaches, sports drinks, and paper towel, toothbrush, shampoo\"], [\"what fruits did I buy from the grocery store on 2018/11/06?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2018/11/06?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2018/11/06?\", \"paper towel, toothbrush, shampoo\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5632\", \"logical_representation\": [\"2018/11/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5633\", \"logical_representation\": [\"2018/11/06\", \"Piper, Eva, Hazel, Piper\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Piper, Eva, Hazel, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Hazel, Piper during lunch hours on 2018/11/06?\", \"8 minutes\"], [\"who did I talk to on 2018/11/06?\", \"Piper, Eva, Hazel, Piper\"], [\"Did I talk to Piper, Eva, Hazel, Piper on 2018/11/06?\", \"yes\"], [\"Did I talk to anyone on 2018/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5634\", \"logical_representation\": [\"2018/11/06\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/11/06?\", \"11 minutes\"], [\"what did I read on 2018/11/06?\", \"social media\"], [\"Did I read on 2018/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/09\": {\"grocery\": {\"eid\": \"e5180\", \"logical_representation\": [\"2018/11/09\", \"I went grocery shopping. I bought some pineapples, pears, sports drinks, and paper towel, mouth wash, conditioner\", \"pineapples, pears\", \"sports drinks\", \"paper towel, mouth wash, conditioner\", \"Nevaeh, Claire, Piper, Lydia\"], \"text_template_based\": \"I went grocery shopping. I bought some pineapples, pears, sports drinks, and paper towel, mouth wash, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/11/09?\", \"pineapples, pears, sports drinks, and paper towel, mouth wash, conditioner\"], [\"what fruits did I buy from the grocery store on 2018/11/09?\", \"pineapples, pears\"], [\"what drinks did I buy from the grocery store on 2018/11/09?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2018/11/09?\", \"paper towel, mouth wash, conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5637\", \"logical_representation\": [\"2018/11/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/11/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2018/11/15\": {\"dating\": {\"eid\": \"e5181\", \"logical_representation\": [\"2018/11/15\", \"Sarah\", \"a coffee Shop\"], \"text_template_based\": \"On 2018/11/15, I took Sarah on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/11/15\", \"Sarah\"], [\"where did I go for the date on 2018/11/15\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5648\", \"logical_representation\": [\"2018/11/15\", \"Piper, Nora, Olivia, Eva\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Olivia, Eva for 19 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Olivia, Eva in the early evening on 2018/11/15?\", \"19 minutes\"], [\"who did I talk to on 2018/11/15?\", \"Piper, Nora, Olivia, Eva\"], [\"Did I talk to Piper, Nora, Olivia, Eva on 2018/11/15?\", \"yes\"], [\"Did I talk to anyone on 2018/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/16\": {\"hobbies\": {\"eid\": \"e5182\", \"logical_representation\": [\"2018/11/16\", \"I spent some time yoga on 2018/11/16.\", \"yoga\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I spent some time yoga on 2018/11/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2018/11/16\"], [\"On 2018/11/16, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5649\", \"logical_representation\": [\"2018/11/16\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/16\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5650\", \"logical_representation\": [\"2018/11/16\", \"dinner\", \"sandwich\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/11/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2018/11/12\": {\"grocery\": {\"eid\": \"e5183\", \"logical_representation\": [\"2018/11/12\", \"I went grocery shopping. I bought some cherres, pears, apricots, strawberries, mineral water, chocolate milk, and shampoo, shaving cream\", \"cherres, pears, apricots, strawberries\", \"mineral water, chocolate milk\", \"shampoo, shaving cream\", \"Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some cherres, pears, apricots, strawberries, mineral water, chocolate milk, and shampoo, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/11/12?\", \"cherres, pears, apricots, strawberries, mineral water, chocolate milk, and shampoo, shaving cream\"], [\"what fruits did I buy from the grocery store on 2018/11/12?\", \"cherres, pears, apricots, strawberries\"], [\"what drinks did I buy from the grocery store on 2018/11/12?\", \"mineral water, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2018/11/12?\", \"shampoo, shaving cream\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5643\", \"logical_representation\": [\"2018/11/12\", \"dinner\", \"chinese food\", \"Carter\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/11/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5644\", \"logical_representation\": [\"2018/11/12\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/11/12?\", \"33 minutes\"], [\"what did I read on 2018/11/12?\", \"news\"], [\"Did I read on 2018/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/17\": {\"grocery\": {\"eid\": \"e5184\", \"logical_representation\": [\"2018/11/17\", \"I bought some apricots, clementines, milk, soda, toilet paper online.\", \"apricots, clementines\", \"milk, soda\", \"toilet paper\", \"Carter, Kayden\"], \"text_template_based\": \"I bought some apricots, clementines, milk, soda, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/11/17?\", \"apricots, clementines, milk, soda, and toilet paper\"], [\"what fruits did I buy online on 2018/11/17?\", \"apricots, clementines\"], [\"what drinks did I buy online on 2018/11/17?\", \"milk, soda\"], [\"what toiletries did I buy online on 2018/11/17?\", \"toilet paper\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5651\", \"logical_representation\": [\"2018/11/17\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had tacos for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/11/17?\", \"Kayden\"], [\"what did I eat for dinner on 2018/11/17\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2018/11/24\": {\"grocery\": {\"eid\": \"e5185\", \"logical_representation\": [\"2018/11/24\", \"I bought some pineapples, pears, coffee, chocolate milk, tea, toilet paper, toothpaste online.\", \"pineapples, pears\", \"coffee, chocolate milk, tea\", \"toilet paper, toothpaste\", \"Benjamin\"], \"text_template_based\": \"I bought some pineapples, pears, coffee, chocolate milk, tea, toilet paper, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/11/24?\", \"pineapples, pears, coffee, chocolate milk, tea, and toilet paper, toothpaste\"], [\"what fruits did I buy online on 2018/11/24?\", \"pineapples, pears\"], [\"what drinks did I buy online on 2018/11/24?\", \"coffee, chocolate milk, tea\"], [\"what toiletries did I buy online on 2018/11/24?\", \"toilet paper, toothpaste\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5664\", \"logical_representation\": [\"2018/11/24\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/11/24?\", \"51 minutes\"], [\"what did I read on 2018/11/24?\", \"social media\"], [\"Did I read on 2018/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5665\", \"logical_representation\": [\"2018/11/24\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I watched a movie for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/24?\", \"14 minutes\"], [\"what did I watch on tv on 2018/11/24?\", \"a movie\"], [\"Did I watch tv on 2018/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/02\": {\"dating\": {\"eid\": \"e5186\", \"logical_representation\": [\"2018/12/02\", \"Joshua\", \"a park\"], \"text_template_based\": \"I went on a date with Joshua on 2018/12/02 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/12/02\", \"Joshua\"], [\"where did I go for the date on 2018/12/02\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e5188\", \"logical_representation\": [\"2018/12/02\", \"I went grocery shopping with Lydia, Layla, Rylee, Nora, Piper, Kinsley. I bought some mangos, bananas, watermelons, mango juice, soda, and facial wash, body lotion, toilet paper, mouth wash\", \"mangos, bananas, watermelons\", \"mango juice, soda\", \"facial wash, body lotion, toilet paper, mouth wash\", \"Lydia, Layla, Rylee, Nora, Piper, Kinsley\"], \"text_template_based\": \"I went grocery shopping with Lydia, Layla, Rylee, Nora, Piper, Kinsley. I bought some mangos, bananas, watermelons, mango juice, soda, and facial wash, body lotion, toilet paper, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/12/02?\", \"mangos, bananas, watermelons, mango juice, soda, and facial wash, body lotion, toilet paper, mouth wash\"], [\"what fruits did I buy from the grocery store on 2018/12/02?\", \"mangos, bananas, watermelons\"], [\"what drinks did I buy from the grocery store on 2018/12/02?\", \"mango juice, soda\"], [\"what toiletries did I buy from the grocery store on 2018/12/02?\", \"facial wash, body lotion, toilet paper, mouth wash\"], [\"who was with me at the grocery store on 2018/12/02?\", \"Lydia, Layla, Rylee, Nora, Piper, Kinsley\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5673\", \"logical_representation\": [\"2018/12/02\", \"breakfast\", \"pancakes\", \"Layla, Claire, Kinsley, Olivia, Piper, Piper, Avery, Nevaeh, Rylee, Eva, Nora, Hazel, Lydia\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/02\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5674\", \"logical_representation\": [\"2018/12/02\", \"dinner\", \"a burger\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/02\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2018/11/26\": {\"grocery\": {\"eid\": \"e5187\", \"logical_representation\": [\"2018/11/26\", \"I bought some raspberries, clementines, chocolate milk, mango juice, orange juice, pineapple juice, mouth wash, mouthwash, body lotion, shampoo online.\", \"raspberries, clementines\", \"chocolate milk, mango juice, orange juice, pineapple juice\", \"mouth wash, mouthwash, body lotion, shampoo\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I bought some raspberries, clementines, chocolate milk, mango juice, orange juice, pineapple juice, mouth wash, mouthwash, body lotion, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/11/26?\", \"raspberries, clementines, chocolate milk, mango juice, orange juice, pineapple juice, and mouth wash, mouthwash, body lotion, shampoo\"], [\"what fruits did I buy online on 2018/11/26?\", \"raspberries, clementines\"], [\"what drinks did I buy online on 2018/11/26?\", \"chocolate milk, mango juice, orange juice, pineapple juice\"], [\"what toiletries did I buy online on 2018/11/26?\", \"mouth wash, mouthwash, body lotion, shampoo\"]], \"multihop_qa_pairs\": []}}, \"2018/12/15\": {\"dating\": {\"eid\": \"e5189\", \"logical_representation\": [\"2018/12/15\", \"Aurora\", \"a restaurant\"], \"text_template_based\": \"On 2018/12/15, I took Aurora on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/12/15\", \"Aurora\"], [\"where did I go for the date on 2018/12/15\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5698\", \"logical_representation\": [\"2018/12/15\", \"running\"], \"text_template_based\": \"I did running on 2018/12/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/15?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5699\", \"logical_representation\": [\"2018/12/15\", \"breakfast\", \"cereals\", \"Layla, Eva, Lydia, Rylee, Avery, Piper, Nora, Piper, Olivia, Claire\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5700\", \"logical_representation\": [\"2018/12/15\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/12/15?\", \"34 minutes\"], [\"what did I read on 2018/12/15?\", \"news\"], [\"Did I read on 2018/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5701\", \"logical_representation\": [\"2018/12/15\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/15?\", \"54 minutes\"], [\"what did I watch on tv on 2018/12/15?\", \"news\"], [\"Did I watch tv on 2018/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/12\": {\"hobbies\": {\"eid\": \"e5190\", \"logical_representation\": [\"2018/12/12\", \"I spent some time meditation on 2018/12/12.\", \"meditation\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I spent some time meditation on 2018/12/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2018/12/12\"], [\"On 2018/12/12, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5690\", \"logical_representation\": [\"2018/12/12\", \"breakfast\", \"oatmeal\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5691\", \"logical_representation\": [\"2018/12/12\", \"lunch\", \"pasta\", \"Piper, Layla, Hazel, Eva, Kinsley, Olivia, Avery, Rylee\"], \"text_template_based\": \"I had pasta for lunch with Piper, Layla, Hazel, Eva, Kinsley, Olivia, Avery, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/12/12?\", \"Piper, Layla, Hazel, Eva, Kinsley, Olivia, Avery, Rylee\"], [\"what did I eat for lunch on 2018/12/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5692\", \"logical_representation\": [\"2018/12/12\", \"dinner\", \"fish and chips\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Willow, Avery, Jackson. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/12/12?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for dinner on 2018/12/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5693\", \"logical_representation\": [\"2018/12/12\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/12/12?\", \"29 minutes\"], [\"what did I read on 2018/12/12?\", \"news\"], [\"Did I read on 2018/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/16\": {\"hobbies\": {\"eid\": \"e5191\", \"logical_representation\": [\"2018/12/16\", \"I spent some time working out on 2018/12/16.\", \"working out\", \"Hazel, Kinsley, Piper\"], \"text_template_based\": \"I spent some time working out on 2018/12/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2018/12/16\"], [\"On 2018/12/16, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5702\", \"logical_representation\": [\"2018/12/16\", \"Lydia, Piper, Hazel, Claire\", \"in the early afternoon\", \"45 minutes\"], \"text_template_based\": \"I talked to Lydia, Piper, Hazel, Claire for 45 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Hazel, Claire in the early afternoon on 2018/12/16?\", \"45 minutes\"], [\"who did I talk to on 2018/12/16?\", \"Lydia, Piper, Hazel, Claire\"], [\"Did I talk to Lydia, Piper, Hazel, Claire on 2018/12/16?\", \"yes\"], [\"Did I talk to anyone on 2018/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/11\": {\"grocery\": {\"eid\": \"e5192\", \"logical_representation\": [\"2018/12/11\", \"I went grocery shopping. I bought some watermelons, apricots, strawberries, orange juice, milk, sports drinks, and mouth wash, conditioner, mouthwash\", \"watermelons, apricots, strawberries\", \"orange juice, milk, sports drinks\", \"mouth wash, conditioner, mouthwash\", \"Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some watermelons, apricots, strawberries, orange juice, milk, sports drinks, and mouth wash, conditioner, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/12/11?\", \"watermelons, apricots, strawberries, orange juice, milk, sports drinks, and mouth wash, conditioner, mouthwash\"], [\"what fruits did I buy from the grocery store on 2018/12/11?\", \"watermelons, apricots, strawberries\"], [\"what drinks did I buy from the grocery store on 2018/12/11?\", \"orange juice, milk, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2018/12/11?\", \"mouth wash, conditioner, mouthwash\"]], \"multihop_qa_pairs\": []}}, \"2018/12/13\": {\"grocery\": {\"eid\": \"e5193\", \"logical_representation\": [\"2018/12/13\", \"I bought some clementines, soda, sports drinks, shaving cream, toothpaste online.\", \"clementines\", \"soda, sports drinks\", \"shaving cream, toothpaste\", \"Rylee, Olivia, Nora, Claire, Kinsley, Nevaeh, Layla, Piper\"], \"text_template_based\": \"I bought some clementines, soda, sports drinks, shaving cream, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2018/12/13?\", \"clementines, soda, sports drinks, and shaving cream, toothpaste\"], [\"what fruits did I buy online on 2018/12/13?\", \"clementines\"], [\"what drinks did I buy online on 2018/12/13?\", \"soda, sports drinks\"], [\"what toiletries did I buy online on 2018/12/13?\", \"shaving cream, toothpaste\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5694\", \"logical_representation\": [\"2018/12/13\", \"dinner\", \"indian food\", \"Piper, Claire, Piper, Nora\"], \"text_template_based\": \"I had indian food for dinner with Piper, Claire, Piper, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/12/13?\", \"Piper, Claire, Piper, Nora\"], [\"what did I eat for dinner on 2018/12/13\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2018/12/23\": {\"dating\": {\"eid\": \"e5194\", \"logical_representation\": [\"2018/12/23\", \"Sofia\", \"a coffee Shop\"], \"text_template_based\": \"On 2018/12/23, I took Sofia on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2018/12/23\", \"Sofia\"], [\"where did I go for the date on 2018/12/23\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5712\", \"logical_representation\": [\"2018/12/23\", \"dinner\", \"sushi\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/23\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5713\", \"logical_representation\": [\"2018/12/23\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/12/23?\", \"24 minutes\"], [\"what did I read on 2018/12/23?\", \"social media\"], [\"Did I read on 2018/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/25\": {\"grocery\": {\"eid\": \"e5195\", \"logical_representation\": [\"2018/12/25\", \"I went grocery shopping with Kayden, Emily, Andrew, Carter. I bought some blackberries, clementines, pineapples, mandarins, soda, and mouth wash\", \"blackberries, clementines, pineapples, mandarins\", \"soda\", \"mouth wash\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping with Kayden, Emily, Andrew, Carter. I bought some blackberries, clementines, pineapples, mandarins, soda, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2018/12/25?\", \"blackberries, clementines, pineapples, mandarins, soda, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2018/12/25?\", \"blackberries, clementines, pineapples, mandarins\"], [\"what drinks did I buy from the grocery store on 2018/12/25?\", \"soda\"], [\"what toiletries did I buy from the grocery store on 2018/12/25?\", \"mouth wash\"], [\"who was with me at the grocery store on 2018/12/25?\", \"Kayden, Emily, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5714\", \"logical_representation\": [\"2018/12/25\", \"biking\"], \"text_template_based\": \"I did biking on 2018/12/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/25?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5715\", \"logical_representation\": [\"2018/12/25\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/25\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2018/01/02\": {\"dinner\": {\"eid\": \"e5197\", \"logical_representation\": [\"2018/01/02\", \"dinner\", \"a burger\", \"Piper, Hazel\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/01/02\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5198\", \"logical_representation\": [\"2018/01/02\", \"Nevaeh, Layla\", \"in the early evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Nevaeh, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla in the early evening on 2018/01/02?\", \"53 minutes\"], [\"who did I talk to on 2018/01/02?\", \"Nevaeh, Layla\"], [\"Did I talk to Nevaeh, Layla on 2018/01/02?\", \"yes\"], [\"Did I talk to anyone on 2018/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/04\": {\"exercise\": {\"eid\": \"e5199\", \"logical_representation\": [\"2018/01/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/01/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5200\", \"logical_representation\": [\"2018/01/04\", \"lunch\", \"tacos\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/01/04\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2018/01/05\": {\"exercise\": {\"eid\": \"e5201\", \"logical_representation\": [\"2018/01/05\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/01/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/05?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5202\", \"logical_representation\": [\"2018/01/05\", \"breakfast\", \"oatmeal\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/01/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5203\", \"logical_representation\": [\"2018/01/05\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/01/05?\", \"44 minutes\"], [\"what did I read on 2018/01/05?\", \"news\"], [\"Did I read on 2018/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/06\": {\"chat0\": {\"eid\": \"e5204\", \"logical_representation\": [\"2018/01/06\", \"Avery, Piper, Nevaeh, Rylee\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Nevaeh, Rylee for 15 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Nevaeh, Rylee in the morning on 2018/01/06?\", \"15 minutes\"], [\"who did I talk to on 2018/01/06?\", \"Avery, Piper, Nevaeh, Rylee\"], [\"Did I talk to Avery, Piper, Nevaeh, Rylee on 2018/01/06?\", \"yes\"], [\"Did I talk to anyone on 2018/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/07\": {\"breakfast\": {\"eid\": \"e5205\", \"logical_representation\": [\"2018/01/07\", \"breakfast\", \"cereals\", \"Avery, Nevaeh, Claire, Olivia\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/01/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5206\", \"logical_representation\": [\"2018/01/07\", \"a tv series\", \"46 minutes\"], \"text_template_based\": \"I watched a tv series for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/07?\", \"46 minutes\"], [\"what did I watch on tv on 2018/01/07?\", \"a tv series\"], [\"Did I watch tv on 2018/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/08\": {\"exercise\": {\"eid\": \"e5207\", \"logical_representation\": [\"2018/01/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/01/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2018/01/09\": {\"dinner\": {\"eid\": \"e5208\", \"logical_representation\": [\"2018/01/09\", \"dinner\", \"sandwich\", \"Kayden, Andrew\"], \"text_template_based\": \"I had sandwich for dinner with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/01/09?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2018/01/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2018/01/10\": {\"breakfast\": {\"eid\": \"e5209\", \"logical_representation\": [\"2018/01/10\", \"breakfast\", \"peanut-butter-jam\", \"Layla\"], \"text_template_based\": \"I had breakfast with Layla. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/01/10?\", \"Layla\"], [\"what did I eat for breakfast on 2018/01/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5210\", \"logical_representation\": [\"2018/01/10\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/01/10?\", \"Emily\"], [\"what did I eat for lunch on 2018/01/10\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5211\", \"logical_representation\": [\"2018/01/10\", \"dinner\", \"indian food\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/01/10\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2018/01/11\": {\"exercise\": {\"eid\": \"e5212\", \"logical_representation\": [\"2018/01/11\", \"biking\"], \"text_template_based\": \"I did biking on 2018/01/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5213\", \"logical_representation\": [\"2018/01/11\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/11?\", \"7 minutes\"], [\"what did I watch on tv on 2018/01/11?\", \"a tv series\"], [\"Did I watch tv on 2018/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/14\": {\"chat0\": {\"eid\": \"e5215\", \"logical_representation\": [\"2018/01/14\", \"Olivia\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Olivia for 51 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the late afternoon on 2018/01/14?\", \"51 minutes\"], [\"who did I talk to on 2018/01/14?\", \"Olivia\"], [\"Did I talk to Olivia on 2018/01/14?\", \"yes\"], [\"Did I talk to anyone on 2018/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5216\", \"logical_representation\": [\"2018/01/14\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/14?\", \"35 minutes\"], [\"what did I watch on tv on 2018/01/14?\", \"a tv series\"], [\"Did I watch tv on 2018/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/15\": {\"exercise\": {\"eid\": \"e5217\", \"logical_representation\": [\"2018/01/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/01/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5218\", \"logical_representation\": [\"2018/01/15\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/01/15?\", \"51 minutes\"], [\"what did I read on 2018/01/15?\", \"news\"], [\"Did I read on 2018/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/16\": {\"read\": {\"eid\": \"e5219\", \"logical_representation\": [\"2018/01/16\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/01/16?\", \"5 minutes\"], [\"what did I read on 2018/01/16?\", \"a book\"], [\"Did I read on 2018/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5220\", \"logical_representation\": [\"2018/01/16\", \"a tv series\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/16?\", \"55 minutes\"], [\"what did I watch on tv on 2018/01/16?\", \"a tv series\"], [\"Did I watch tv on 2018/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/21\": {\"exercise\": {\"eid\": \"e5227\", \"logical_representation\": [\"2018/01/21\", \"biking\"], \"text_template_based\": \"I did biking on 2018/01/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/01/21?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5228\", \"logical_representation\": [\"2018/01/21\", \"dinner\", \"a burger\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I had a burger for dinner with Emily, Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/01/21?\", \"Emily, Kayden, Carter, Andrew\"], [\"what did I eat for dinner on 2018/01/21\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2018/01/22\": {\"breakfast\": {\"eid\": \"e5229\", \"logical_representation\": [\"2018/01/22\", \"breakfast\", \"pancakes\", \"Hazel, Avery, Nevaeh, Lydia, Rylee, Layla, Piper, Olivia, Eva, Nora\"], \"text_template_based\": \"I had pancakes for breakfast with Hazel, Avery, Nevaeh, Lydia, Rylee, Layla, Piper, Olivia, Eva, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/01/22?\", \"Hazel, Avery, Nevaeh, Lydia, Rylee, Layla, Piper, Olivia, Eva, Nora\"], [\"what did I eat for breakfast on 2018/01/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5230\", \"logical_representation\": [\"2018/01/22\", \"Olivia, Claire, Hazel\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Olivia, Claire, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire, Hazel in the early afternoon on 2018/01/22?\", \"44 minutes\"], [\"who did I talk to on 2018/01/22?\", \"Olivia, Claire, Hazel\"], [\"Did I talk to Olivia, Claire, Hazel on 2018/01/22?\", \"yes\"], [\"Did I talk to anyone on 2018/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5231\", \"logical_representation\": [\"2018/01/22\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/01/22?\", \"29 minutes\"], [\"what did I read on 2018/01/22?\", \"news\"], [\"Did I read on 2018/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/23\": {\"breakfast\": {\"eid\": \"e5232\", \"logical_representation\": [\"2018/01/23\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had oatmeal for breakfast with Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/01/23?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2018/01/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5233\", \"logical_representation\": [\"2018/01/23\", \"dinner\", \"fish and chips\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had fish and chips for dinner with Andrew, Emily, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/01/23?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for dinner on 2018/01/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2018/01/25\": {\"chat0\": {\"eid\": \"e5234\", \"logical_representation\": [\"2018/01/25\", \"Olivia, Claire, Hazel\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Olivia, Claire, Hazel for 19 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire, Hazel in the early afternoon on 2018/01/25?\", \"19 minutes\"], [\"who did I talk to on 2018/01/25?\", \"Olivia, Claire, Hazel\"], [\"Did I talk to Olivia, Claire, Hazel on 2018/01/25?\", \"yes\"], [\"Did I talk to anyone on 2018/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/26\": {\"dinner\": {\"eid\": \"e5235\", \"logical_representation\": [\"2018/01/26\", \"dinner\", \"tacos\", \"Willow\"], \"text_template_based\": \"I had tacos for dinner with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/01/26?\", \"Willow\"], [\"what did I eat for dinner on 2018/01/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5236\", \"logical_representation\": [\"2018/01/26\", \"Piper\", \"in the early afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Piper for 19 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2018/01/26?\", \"19 minutes\"], [\"who did I talk to on 2018/01/26?\", \"Piper\"], [\"Did I talk to Piper on 2018/01/26?\", \"yes\"], [\"Did I talk to anyone on 2018/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/29\": {\"read\": {\"eid\": \"e5237\", \"logical_representation\": [\"2018/01/29\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/01/29?\", \"5 minutes\"], [\"what did I read on 2018/01/29?\", \"a book\"], [\"Did I read on 2018/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/30\": {\"watch tv\": {\"eid\": \"e5238\", \"logical_representation\": [\"2018/01/30\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/01/30?\", \"49 minutes\"], [\"what did I watch on tv on 2018/01/30?\", \"news\"], [\"Did I watch tv on 2018/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/01/31\": {\"breakfast\": {\"eid\": \"e5239\", \"logical_representation\": [\"2018/01/31\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had breakfast with Kayden, Emily, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/01/31?\", \"Kayden, Emily, Carter\"], [\"what did I eat for breakfast on 2018/01/31\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5240\", \"logical_representation\": [\"2018/01/31\", \"lunch\", \"a burger\", \"Layla, Olivia, Hazel\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/01/31\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2018/02/01\": {\"breakfast\": {\"eid\": \"e5241\", \"logical_representation\": [\"2018/02/01\", \"breakfast\", \"pancakes\", \"Nora, Layla, Claire, Piper, Olivia\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/02/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5242\", \"logical_representation\": [\"2018/02/01\", \"lunch\", \"a burger\", \"Avery, Willow, Jackson, Benjamin\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/02/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5243\", \"logical_representation\": [\"2018/02/01\", \"Avery, Olivia, Rylee\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Avery, Olivia, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Rylee in the early afternoon on 2018/02/01?\", \"51 minutes\"], [\"who did I talk to on 2018/02/01?\", \"Avery, Olivia, Rylee\"], [\"Did I talk to Avery, Olivia, Rylee on 2018/02/01?\", \"yes\"], [\"Did I talk to anyone on 2018/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5244\", \"logical_representation\": [\"2018/02/01\", \"a tv series\", \"25 minutes\"], \"text_template_based\": \"I watched a tv series for 25 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/01?\", \"25 minutes\"], [\"what did I watch on tv on 2018/02/01?\", \"a tv series\"], [\"Did I watch tv on 2018/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/05\": {\"lunch\": {\"eid\": \"e5248\", \"logical_representation\": [\"2018/02/05\", \"lunch\", \"sushi\", \"Avery, Nora, Piper, Olivia\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/02/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5249\", \"logical_representation\": [\"2018/02/05\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/02/05\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2018/02/08\": {\"dinner\": {\"eid\": \"e5256\", \"logical_representation\": [\"2018/02/08\", \"dinner\", \"pasta\", \"Piper, Kinsley, Hazel, Claire, Eva, Olivia\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/02/08\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2018/02/16\": {\"exercise\": {\"eid\": \"e5263\", \"logical_representation\": [\"2018/02/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/02/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2018/02/23\": {\"watch tv\": {\"eid\": \"e5272\", \"logical_representation\": [\"2018/02/23\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/23?\", \"20 minutes\"], [\"what did I watch on tv on 2018/02/23?\", \"a tv series\"], [\"Did I watch tv on 2018/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/25\": {\"exercise\": {\"eid\": \"e5274\", \"logical_representation\": [\"2018/02/25\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/02/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/25?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5275\", \"logical_representation\": [\"2018/02/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/02/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5276\", \"logical_representation\": [\"2018/02/25\", \"social media\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/02/25?\", \"10 minutes\"], [\"what did I read on 2018/02/25?\", \"social media\"], [\"Did I read on 2018/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5277\", \"logical_representation\": [\"2018/02/25\", \"a movie\", \"5 minutes\"], \"text_template_based\": \"I watched a movie for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/02/25?\", \"5 minutes\"], [\"what did I watch on tv on 2018/02/25?\", \"a movie\"], [\"Did I watch tv on 2018/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/02/28\": {\"exercise\": {\"eid\": \"e5281\", \"logical_representation\": [\"2018/02/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/02/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/02/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2018/03/01\": {\"breakfast\": {\"eid\": \"e5282\", \"logical_representation\": [\"2018/03/01\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/03/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5283\", \"logical_representation\": [\"2018/03/01\", \"Claire, Lydia\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Claire, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Lydia in the late afternoon on 2018/03/01?\", \"26 minutes\"], [\"who did I talk to on 2018/03/01?\", \"Claire, Lydia\"], [\"Did I talk to Claire, Lydia on 2018/03/01?\", \"yes\"], [\"Did I talk to anyone on 2018/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/02\": {\"dinner\": {\"eid\": \"e5284\", \"logical_representation\": [\"2018/03/02\", \"dinner\", \"chinese food\", \"Benjamin\"], \"text_template_based\": \"I had chinese food for dinner with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/03/02?\", \"Benjamin\"], [\"what did I eat for dinner on 2018/03/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2018/03/03\": {\"chat0\": {\"eid\": \"e5285\", \"logical_representation\": [\"2018/03/03\", \"Nora, Avery, Layla, Lydia\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Nora, Avery, Layla, Lydia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery, Layla, Lydia in the late afternoon on 2018/03/03?\", \"11 minutes\"], [\"who did I talk to on 2018/03/03?\", \"Nora, Avery, Layla, Lydia\"], [\"Did I talk to Nora, Avery, Layla, Lydia on 2018/03/03?\", \"yes\"], [\"Did I talk to anyone on 2018/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5286\", \"logical_representation\": [\"2018/03/03\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/03?\", \"50 minutes\"], [\"what did I watch on tv on 2018/03/03?\", \"a documentary\"], [\"Did I watch tv on 2018/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/04\": {\"watch tv\": {\"eid\": \"e5287\", \"logical_representation\": [\"2018/03/04\", \"news\", \"8 minutes\"], \"text_template_based\": \"I watched news for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/04?\", \"8 minutes\"], [\"what did I watch on tv on 2018/03/04?\", \"news\"], [\"Did I watch tv on 2018/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/05\": {\"lunch\": {\"eid\": \"e5288\", \"logical_representation\": [\"2018/03/05\", \"lunch\", \"sushi\", \"Carter\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/05\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2018/03/07\": {\"chat0\": {\"eid\": \"e5289\", \"logical_representation\": [\"2018/03/07\", \"Claire, Olivia, Nora, Piper\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Claire, Olivia, Nora, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Nora, Piper in the late afternoon on 2018/03/07?\", \"13 minutes\"], [\"who did I talk to on 2018/03/07?\", \"Claire, Olivia, Nora, Piper\"], [\"Did I talk to Claire, Olivia, Nora, Piper on 2018/03/07?\", \"yes\"], [\"Did I talk to anyone on 2018/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5290\", \"logical_representation\": [\"2018/03/07\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/03/07?\", \"10 minutes\"], [\"what did I read on 2018/03/07?\", \"news\"], [\"Did I read on 2018/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5291\", \"logical_representation\": [\"2018/03/07\", \"news\", \"45 minutes\"], \"text_template_based\": \"I watched news for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/07?\", \"45 minutes\"], [\"what did I watch on tv on 2018/03/07?\", \"news\"], [\"Did I watch tv on 2018/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/08\": {\"read\": {\"eid\": \"e5292\", \"logical_representation\": [\"2018/03/08\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/03/08?\", \"28 minutes\"], [\"what did I read on 2018/03/08?\", \"news\"], [\"Did I read on 2018/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/09\": {\"dinner\": {\"eid\": \"e5293\", \"logical_representation\": [\"2018/03/09\", \"dinner\", \"steak\", \"Kayden, Emily\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/03/09\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2018/03/12\": {\"dinner\": {\"eid\": \"e5295\", \"logical_representation\": [\"2018/03/12\", \"dinner\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/03/12\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2018/03/13\": {\"lunch\": {\"eid\": \"e5296\", \"logical_representation\": [\"2018/03/13\", \"lunch\", \"a burger\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/13\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2018/03/14\": {\"exercise\": {\"eid\": \"e5297\", \"logical_representation\": [\"2018/03/14\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/03/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/14?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5298\", \"logical_representation\": [\"2018/03/14\", \"dinner\", \"a burger\", \"Kayden, Carter\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/03/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5299\", \"logical_representation\": [\"2018/03/14\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/03/14?\", \"8 minutes\"], [\"what did I read on 2018/03/14?\", \"news\"], [\"Did I read on 2018/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/15\": {\"lunch\": {\"eid\": \"e5300\", \"logical_representation\": [\"2018/03/15\", \"lunch\", \"steak\", \"Avery, Jackson\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5301\", \"logical_representation\": [\"2018/03/15\", \"Piper, Avery, Olivia, Rylee\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Olivia, Rylee for 44 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Olivia, Rylee in the late afternoon on 2018/03/15?\", \"44 minutes\"], [\"who did I talk to on 2018/03/15?\", \"Piper, Avery, Olivia, Rylee\"], [\"Did I talk to Piper, Avery, Olivia, Rylee on 2018/03/15?\", \"yes\"], [\"Did I talk to anyone on 2018/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/16\": {\"chat0\": {\"eid\": \"e5302\", \"logical_representation\": [\"2018/03/16\", \"Eva, Nevaeh, Hazel\", \"in the early afternoon\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Eva, Nevaeh, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nevaeh, Hazel in the early afternoon on 2018/03/16?\", \"43 minutes\"], [\"who did I talk to on 2018/03/16?\", \"Eva, Nevaeh, Hazel\"], [\"Did I talk to Eva, Nevaeh, Hazel on 2018/03/16?\", \"yes\"], [\"Did I talk to anyone on 2018/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5303\", \"logical_representation\": [\"2018/03/16\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/16?\", \"28 minutes\"], [\"what did I watch on tv on 2018/03/16?\", \"news\"], [\"Did I watch tv on 2018/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/17\": {\"exercise\": {\"eid\": \"e5304\", \"logical_representation\": [\"2018/03/17\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/03/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/17?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5305\", \"logical_representation\": [\"2018/03/17\", \"breakfast\", \"oatmeal\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/03/17\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2018/03/18\": {\"lunch\": {\"eid\": \"e5306\", \"logical_representation\": [\"2018/03/18\", \"lunch\", \"indian food\", \"Kinsley, Rylee, Claire, Olivia, Eva, Piper, Nevaeh, Hazel, Avery\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5307\", \"logical_representation\": [\"2018/03/18\", \"dinner\", \"fish and chips\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/03/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2018/03/20\": {\"exercise\": {\"eid\": \"e5308\", \"logical_representation\": [\"2018/03/20\", \"biking\"], \"text_template_based\": \"I did biking on 2018/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5309\", \"logical_representation\": [\"2018/03/20\", \"lunch\", \"pasta\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/03/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5310\", \"logical_representation\": [\"2018/03/20\", \"Lydia, Avery\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery for 19 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery in the late afternoon on 2018/03/20?\", \"19 minutes\"], [\"who did I talk to on 2018/03/20?\", \"Lydia, Avery\"], [\"Did I talk to Lydia, Avery on 2018/03/20?\", \"yes\"], [\"Did I talk to anyone on 2018/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5311\", \"logical_representation\": [\"2018/03/20\", \"a movie\", \"7 minutes\"], \"text_template_based\": \"I watched a movie for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/03/20?\", \"7 minutes\"], [\"what did I watch on tv on 2018/03/20?\", \"a movie\"], [\"Did I watch tv on 2018/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/21\": {\"exercise\": {\"eid\": \"e5312\", \"logical_representation\": [\"2018/03/21\", \"biking\"], \"text_template_based\": \"I did biking on 2018/03/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/21?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2018/03/22\": {\"chat0\": {\"eid\": \"e5313\", \"logical_representation\": [\"2018/03/22\", \"Avery\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Avery for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early afternoon on 2018/03/22?\", \"42 minutes\"], [\"who did I talk to on 2018/03/22?\", \"Avery\"], [\"Did I talk to Avery on 2018/03/22?\", \"yes\"], [\"Did I talk to anyone on 2018/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/23\": {\"dinner\": {\"eid\": \"e5314\", \"logical_representation\": [\"2018/03/23\", \"dinner\", \"steak\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had steak for dinner with Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/03/23?\", \"Andrew, Carter, Emily\"], [\"what did I eat for dinner on 2018/03/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5315\", \"logical_representation\": [\"2018/03/23\", \"Lydia, Hazel\", \"in the early evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Lydia, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel in the early evening on 2018/03/23?\", \"46 minutes\"], [\"who did I talk to on 2018/03/23?\", \"Lydia, Hazel\"], [\"Did I talk to Lydia, Hazel on 2018/03/23?\", \"yes\"], [\"Did I talk to anyone on 2018/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/24\": {\"chat0\": {\"eid\": \"e5316\", \"logical_representation\": [\"2018/03/24\", \"Avery\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I talked to Avery for 9 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the late afternoon on 2018/03/24?\", \"9 minutes\"], [\"who did I talk to on 2018/03/24?\", \"Avery\"], [\"Did I talk to Avery on 2018/03/24?\", \"yes\"], [\"Did I talk to anyone on 2018/03/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/25\": {\"exercise\": {\"eid\": \"e5317\", \"logical_representation\": [\"2018/03/25\", \"running\"], \"text_template_based\": \"I did running on 2018/03/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5318\", \"logical_representation\": [\"2018/03/25\", \"Olivia, Nora, Nevaeh, Piper\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora, Nevaeh, Piper for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Nevaeh, Piper during lunch hours on 2018/03/25?\", \"26 minutes\"], [\"who did I talk to on 2018/03/25?\", \"Olivia, Nora, Nevaeh, Piper\"], [\"Did I talk to Olivia, Nora, Nevaeh, Piper on 2018/03/25?\", \"yes\"], [\"Did I talk to anyone on 2018/03/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/03/27\": {\"exercise\": {\"eid\": \"e5319\", \"logical_representation\": [\"2018/03/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/03/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/03/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5320\", \"logical_representation\": [\"2018/03/27\", \"Nora, Piper\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Nora, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the late afternoon on 2018/03/27?\", \"44 minutes\"], [\"who did I talk to on 2018/03/27?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2018/03/27?\", \"yes\"], [\"Did I talk to anyone on 2018/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/01\": {\"dinner\": {\"eid\": \"e5325\", \"logical_representation\": [\"2018/04/01\", \"dinner\", \"steak\", \"Willow\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/01\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5326\", \"logical_representation\": [\"2018/04/01\", \"Layla, Rylee, Kinsley\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Layla, Rylee, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Kinsley in the early evening on 2018/04/01?\", \"38 minutes\"], [\"who did I talk to on 2018/04/01?\", \"Layla, Rylee, Kinsley\"], [\"Did I talk to Layla, Rylee, Kinsley on 2018/04/01?\", \"yes\"], [\"Did I talk to anyone on 2018/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/03\": {\"chat0\": {\"eid\": \"e5329\", \"logical_representation\": [\"2018/04/03\", \"Claire, Piper, Kinsley, Avery\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Claire, Piper, Kinsley, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Kinsley, Avery in the early afternoon on 2018/04/03?\", \"7 minutes\"], [\"who did I talk to on 2018/04/03?\", \"Claire, Piper, Kinsley, Avery\"], [\"Did I talk to Claire, Piper, Kinsley, Avery on 2018/04/03?\", \"yes\"], [\"Did I talk to anyone on 2018/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/06\": {\"chat0\": {\"eid\": \"e5330\", \"logical_representation\": [\"2018/04/06\", \"Eva, Piper\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I talked to Eva, Piper for 36 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper during lunch hours on 2018/04/06?\", \"36 minutes\"], [\"who did I talk to on 2018/04/06?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2018/04/06?\", \"yes\"], [\"Did I talk to anyone on 2018/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/07\": {\"watch tv\": {\"eid\": \"e5331\", \"logical_representation\": [\"2018/04/07\", \"a movie\", \"47 minutes\"], \"text_template_based\": \"I watched a movie for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/07?\", \"47 minutes\"], [\"what did I watch on tv on 2018/04/07?\", \"a movie\"], [\"Did I watch tv on 2018/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/08\": {\"dinner\": {\"eid\": \"e5332\", \"logical_representation\": [\"2018/04/08\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5333\", \"logical_representation\": [\"2018/04/08\", \"a documentary\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/08?\", \"41 minutes\"], [\"what did I watch on tv on 2018/04/08?\", \"a documentary\"], [\"Did I watch tv on 2018/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/10\": {\"lunch\": {\"eid\": \"e5335\", \"logical_representation\": [\"2018/04/10\", \"lunch\", \"sushi\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/04/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5336\", \"logical_representation\": [\"2018/04/10\", \"a tv series\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/10?\", \"42 minutes\"], [\"what did I watch on tv on 2018/04/10?\", \"a tv series\"], [\"Did I watch tv on 2018/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/11\": {\"exercise\": {\"eid\": \"e5337\", \"logical_representation\": [\"2018/04/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/04/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2018/04/14\": {\"exercise\": {\"eid\": \"e5344\", \"logical_representation\": [\"2018/04/14\", \"biking\"], \"text_template_based\": \"I did biking on 2018/04/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/14?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5345\", \"logical_representation\": [\"2018/04/14\", \"Piper, Nevaeh, Claire\", \"in the early evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Piper, Nevaeh, Claire for 41 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Claire in the early evening on 2018/04/14?\", \"41 minutes\"], [\"who did I talk to on 2018/04/14?\", \"Piper, Nevaeh, Claire\"], [\"Did I talk to Piper, Nevaeh, Claire on 2018/04/14?\", \"yes\"], [\"Did I talk to anyone on 2018/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/15\": {\"exercise\": {\"eid\": \"e5346\", \"logical_representation\": [\"2018/04/15\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/04/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/15?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5347\", \"logical_representation\": [\"2018/04/15\", \"lunch\", \"a burger\", \"Andrew, Emily\"], \"text_template_based\": \"I had a burger for lunch with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/04/15?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2018/04/15\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2018/04/16\": {\"read\": {\"eid\": \"e5348\", \"logical_representation\": [\"2018/04/16\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/04/16?\", \"17 minutes\"], [\"what did I read on 2018/04/16?\", \"a book\"], [\"Did I read on 2018/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/17\": {\"exercise\": {\"eid\": \"e5349\", \"logical_representation\": [\"2018/04/17\", \"biking\"], \"text_template_based\": \"I did biking on 2018/04/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5350\", \"logical_representation\": [\"2018/04/17\", \"dinner\", \"sandwich\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had dinner with Emily, Andrew, Kayden, Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/04/17?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2018/04/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5351\", \"logical_representation\": [\"2018/04/17\", \"Nora, Olivia\", \"in the late afternoon\", \"11 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia for 11 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia in the late afternoon on 2018/04/17?\", \"11 minutes\"], [\"who did I talk to on 2018/04/17?\", \"Nora, Olivia\"], [\"Did I talk to Nora, Olivia on 2018/04/17?\", \"yes\"], [\"Did I talk to anyone on 2018/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/18\": {\"watch tv\": {\"eid\": \"e5352\", \"logical_representation\": [\"2018/04/18\", \"a movie\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/18?\", \"52 minutes\"], [\"what did I watch on tv on 2018/04/18?\", \"a movie\"], [\"Did I watch tv on 2018/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/19\": {\"exercise\": {\"eid\": \"e5353\", \"logical_representation\": [\"2018/04/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/04/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/04/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5354\", \"logical_representation\": [\"2018/04/19\", \"dinner\", \"sandwich\", \"Jackson, Willow\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2018/04/20\": {\"dinner\": {\"eid\": \"e5355\", \"logical_representation\": [\"2018/04/20\", \"dinner\", \"sushi\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Emily, Andrew, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/04/20?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for dinner on 2018/04/20\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5356\", \"logical_representation\": [\"2018/04/20\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/04/20?\", \"42 minutes\"], [\"what did I read on 2018/04/20?\", \"a book\"], [\"Did I read on 2018/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/26\": {\"breakfast\": {\"eid\": \"e5362\", \"logical_representation\": [\"2018/04/26\", \"breakfast\", \"cereals\", \"Lydia\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5363\", \"logical_representation\": [\"2018/04/26\", \"Avery\", \"in the morning\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2018/04/26?\", \"21 minutes\"], [\"who did I talk to on 2018/04/26?\", \"Avery\"], [\"Did I talk to Avery on 2018/04/26?\", \"yes\"], [\"Did I talk to anyone on 2018/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/27\": {\"dinner\": {\"eid\": \"e5364\", \"logical_representation\": [\"2018/04/27\", \"dinner\", \"fish and chips\", \"Rylee, Kinsley, Nora, Olivia\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5365\", \"logical_representation\": [\"2018/04/27\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I watched a movie for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/27?\", \"41 minutes\"], [\"what did I watch on tv on 2018/04/27?\", \"a movie\"], [\"Did I watch tv on 2018/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/04/28\": {\"dinner\": {\"eid\": \"e5366\", \"logical_representation\": [\"2018/04/28\", \"dinner\", \"fish and chips\", \"Avery, Benjamin\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/04/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2018/04/29\": {\"breakfast\": {\"eid\": \"e5367\", \"logical_representation\": [\"2018/04/29\", \"breakfast\", \"pancakes\", \"Kinsley, Nevaeh\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/04/29\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5368\", \"logical_representation\": [\"2018/04/29\", \"Hazel, Lydia\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia for 47 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia in the early evening on 2018/04/29?\", \"47 minutes\"], [\"who did I talk to on 2018/04/29?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2018/04/29?\", \"yes\"], [\"Did I talk to anyone on 2018/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5369\", \"logical_representation\": [\"2018/04/29\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/04/29?\", \"35 minutes\"], [\"what did I watch on tv on 2018/04/29?\", \"a documentary\"], [\"Did I watch tv on 2018/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/01\": {\"lunch\": {\"eid\": \"e5372\", \"logical_representation\": [\"2018/05/01\", \"lunch\", \"sushi\", \"Willow\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/05/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5373\", \"logical_representation\": [\"2018/05/01\", \"Lydia, Piper, Kinsley, Avery\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Lydia, Piper, Kinsley, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Kinsley, Avery late in the evening on 2018/05/01?\", \"39 minutes\"], [\"who did I talk to on 2018/05/01?\", \"Lydia, Piper, Kinsley, Avery\"], [\"Did I talk to Lydia, Piper, Kinsley, Avery on 2018/05/01?\", \"yes\"], [\"Did I talk to anyone on 2018/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/03\": {\"exercise\": {\"eid\": \"e5375\", \"logical_representation\": [\"2018/05/03\", \"biking\"], \"text_template_based\": \"I did biking on 2018/05/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/03?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5376\", \"logical_representation\": [\"2018/05/03\", \"Claire\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2018/05/03?\", \"40 minutes\"], [\"who did I talk to on 2018/05/03?\", \"Claire\"], [\"Did I talk to Claire on 2018/05/03?\", \"yes\"], [\"Did I talk to anyone on 2018/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5377\", \"logical_representation\": [\"2018/05/03\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/05/03?\", \"25 minutes\"], [\"what did I read on 2018/05/03?\", \"news\"], [\"Did I read on 2018/05/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/04\": {\"exercise\": {\"eid\": \"e5378\", \"logical_representation\": [\"2018/05/04\", \"running\"], \"text_template_based\": \"I did running on 2018/05/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/04?\", \"running\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5379\", \"logical_representation\": [\"2018/05/04\", \"a book\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/05/04?\", \"47 minutes\"], [\"what did I read on 2018/05/04?\", \"a book\"], [\"Did I read on 2018/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/06\": {\"exercise\": {\"eid\": \"e5380\", \"logical_representation\": [\"2018/05/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/05/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5381\", \"logical_representation\": [\"2018/05/06\", \"breakfast\", \"toast and cheese\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5382\", \"logical_representation\": [\"2018/05/06\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/05/06?\", \"51 minutes\"], [\"what did I read on 2018/05/06?\", \"social media\"], [\"Did I read on 2018/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/07\": {\"dinner\": {\"eid\": \"e5383\", \"logical_representation\": [\"2018/05/07\", \"dinner\", \"sandwich\", \"Eva, Hazel, Layla, Olivia, Kinsley, Nora, Nevaeh, Piper, Rylee\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2018/05/08\": {\"breakfast\": {\"eid\": \"e5384\", \"logical_representation\": [\"2018/05/08\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2018/05/09\": {\"breakfast\": {\"eid\": \"e5385\", \"logical_representation\": [\"2018/05/09\", \"breakfast\", \"oatmeal\", \"Jackson, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Willow. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/05/09?\", \"Jackson, Willow\"], [\"what did I eat for breakfast on 2018/05/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2018/05/11\": {\"read\": {\"eid\": \"e5386\", \"logical_representation\": [\"2018/05/11\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/05/11?\", \"14 minutes\"], [\"what did I read on 2018/05/11?\", \"news\"], [\"Did I read on 2018/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/12\": {\"breakfast\": {\"eid\": \"e5387\", \"logical_representation\": [\"2018/05/12\", \"breakfast\", \"cereals\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Andrew, Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/05/12?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for breakfast on 2018/05/12\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5388\", \"logical_representation\": [\"2018/05/12\", \"dinner\", \"steak\", \"Kayden\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5389\", \"logical_representation\": [\"2018/05/12\", \"Piper, Avery\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Piper, Avery on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery in the early afternoon on 2018/05/12?\", \"7 minutes\"], [\"who did I talk to on 2018/05/12?\", \"Piper, Avery\"], [\"Did I talk to Piper, Avery on 2018/05/12?\", \"yes\"], [\"Did I talk to anyone on 2018/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/13\": {\"breakfast\": {\"eid\": \"e5390\", \"logical_representation\": [\"2018/05/13\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2018/05/14\": {\"exercise\": {\"eid\": \"e5391\", \"logical_representation\": [\"2018/05/14\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/05/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/14?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5392\", \"logical_representation\": [\"2018/05/14\", \"lunch\", \"sushi\", \"Kayden, Andrew\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/05/14\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5393\", \"logical_representation\": [\"2018/05/14\", \"Eva, Rylee, Nora\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee, Nora for 38 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Nora during lunch hours on 2018/05/14?\", \"38 minutes\"], [\"who did I talk to on 2018/05/14?\", \"Eva, Rylee, Nora\"], [\"Did I talk to Eva, Rylee, Nora on 2018/05/14?\", \"yes\"], [\"Did I talk to anyone on 2018/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/15\": {\"exercise\": {\"eid\": \"e5394\", \"logical_representation\": [\"2018/05/15\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/05/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/15?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5395\", \"logical_representation\": [\"2018/05/15\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5396\", \"logical_representation\": [\"2018/05/15\", \"Olivia, Lydia, Avery\", \"in the late afternoon\", \"21 minutes\"], \"text_template_based\": \"I talked to Olivia, Lydia, Avery for 21 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia, Avery in the late afternoon on 2018/05/15?\", \"21 minutes\"], [\"who did I talk to on 2018/05/15?\", \"Olivia, Lydia, Avery\"], [\"Did I talk to Olivia, Lydia, Avery on 2018/05/15?\", \"yes\"], [\"Did I talk to anyone on 2018/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/19\": {\"exercise\": {\"eid\": \"e5400\", \"logical_representation\": [\"2018/05/19\", \"running\"], \"text_template_based\": \"I did running on 2018/05/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/19?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2018/05/21\": {\"chat0\": {\"eid\": \"e5401\", \"logical_representation\": [\"2018/05/21\", \"Nora, Rylee, Piper\", \"in the morning\", \"27 minutes\"], \"text_template_based\": \"I talked to Nora, Rylee, Piper for 27 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Piper in the morning on 2018/05/21?\", \"27 minutes\"], [\"who did I talk to on 2018/05/21?\", \"Nora, Rylee, Piper\"], [\"Did I talk to Nora, Rylee, Piper on 2018/05/21?\", \"yes\"], [\"Did I talk to anyone on 2018/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/23\": {\"lunch\": {\"eid\": \"e5404\", \"logical_representation\": [\"2018/05/23\", \"lunch\", \"fish and chips\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/05/23\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5405\", \"logical_representation\": [\"2018/05/23\", \"Lydia, Claire, Piper\", \"in the early evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Lydia, Claire, Piper for 9 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Piper in the early evening on 2018/05/23?\", \"9 minutes\"], [\"who did I talk to on 2018/05/23?\", \"Lydia, Claire, Piper\"], [\"Did I talk to Lydia, Claire, Piper on 2018/05/23?\", \"yes\"], [\"Did I talk to anyone on 2018/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/24\": {\"exercise\": {\"eid\": \"e5406\", \"logical_representation\": [\"2018/05/24\", \"biking\"], \"text_template_based\": \"I did biking on 2018/05/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/24?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5407\", \"logical_representation\": [\"2018/05/24\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/05/24?\", \"Andrew, Kayden\"], [\"what did I eat for breakfast on 2018/05/24\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5408\", \"logical_representation\": [\"2018/05/24\", \"lunch\", \"a burger\", \"Kayden\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/05/24\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2018/05/25\": {\"dinner\": {\"eid\": \"e5409\", \"logical_representation\": [\"2018/05/25\", \"dinner\", \"pasta\", \"Claire, Piper, Olivia, Piper\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/05/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5410\", \"logical_representation\": [\"2018/05/25\", \"social media\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/05/25?\", \"18 minutes\"], [\"what did I read on 2018/05/25?\", \"social media\"], [\"Did I read on 2018/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/29\": {\"exercise\": {\"eid\": \"e5417\", \"logical_representation\": [\"2018/05/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/05/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/05/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2018/05/30\": {\"watch tv\": {\"eid\": \"e5418\", \"logical_representation\": [\"2018/05/30\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/30?\", \"25 minutes\"], [\"what did I watch on tv on 2018/05/30?\", \"a movie\"], [\"Did I watch tv on 2018/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/05/31\": {\"breakfast\": {\"eid\": \"e5419\", \"logical_representation\": [\"2018/05/31\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/05/31\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5420\", \"logical_representation\": [\"2018/05/31\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I watched a movie for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/05/31?\", \"6 minutes\"], [\"what did I watch on tv on 2018/05/31?\", \"a movie\"], [\"Did I watch tv on 2018/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/01\": {\"breakfast\": {\"eid\": \"e5421\", \"logical_representation\": [\"2018/06/01\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/06/01?\", \"Emily, Andrew\"], [\"what did I eat for breakfast on 2018/06/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5422\", \"logical_representation\": [\"2018/06/01\", \"Avery, Rylee\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Avery, Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee in the late afternoon on 2018/06/01?\", \"24 minutes\"], [\"who did I talk to on 2018/06/01?\", \"Avery, Rylee\"], [\"Did I talk to Avery, Rylee on 2018/06/01?\", \"yes\"], [\"Did I talk to anyone on 2018/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/02\": {\"lunch\": {\"eid\": \"e5423\", \"logical_representation\": [\"2018/06/02\", \"lunch\", \"tacos\", \"Lydia, Nora, Piper, Nevaeh, Rylee, Avery, Eva\"], \"text_template_based\": \"I had tacos for lunch with Lydia, Nora, Piper, Nevaeh, Rylee, Avery, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/06/02?\", \"Lydia, Nora, Piper, Nevaeh, Rylee, Avery, Eva\"], [\"what did I eat for lunch on 2018/06/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5424\", \"logical_representation\": [\"2018/06/02\", \"Lydia\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I talked to Lydia for 33 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia during lunch hours on 2018/06/02?\", \"33 minutes\"], [\"who did I talk to on 2018/06/02?\", \"Lydia\"], [\"Did I talk to Lydia on 2018/06/02?\", \"yes\"], [\"Did I talk to anyone on 2018/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/03\": {\"breakfast\": {\"eid\": \"e5425\", \"logical_representation\": [\"2018/06/03\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Avery\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/06/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5426\", \"logical_representation\": [\"2018/06/03\", \"lunch\", \"indian food\", \"Emily\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/06/03\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5427\", \"logical_representation\": [\"2018/06/03\", \"Piper, Hazel, Eva\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Piper, Hazel, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel, Eva in the early afternoon on 2018/06/03?\", \"27 minutes\"], [\"who did I talk to on 2018/06/03?\", \"Piper, Hazel, Eva\"], [\"Did I talk to Piper, Hazel, Eva on 2018/06/03?\", \"yes\"], [\"Did I talk to anyone on 2018/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/04\": {\"lunch\": {\"eid\": \"e5428\", \"logical_representation\": [\"2018/06/04\", \"lunch\", \"sandwich\", \"Avery, Benjamin, Jackson, Willow\"], \"text_template_based\": \"I had sandwich for lunch with Avery, Benjamin, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/06/04?\", \"Avery, Benjamin, Jackson, Willow\"], [\"what did I eat for lunch on 2018/06/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5429\", \"logical_representation\": [\"2018/06/04\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/06/04?\", \"14 minutes\"], [\"what did I read on 2018/06/04?\", \"news\"], [\"Did I read on 2018/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/05\": {\"breakfast\": {\"eid\": \"e5430\", \"logical_representation\": [\"2018/06/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had breakfast with Willow, Avery, Jackson, Benjamin. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/06/05?\", \"Willow, Avery, Jackson, Benjamin\"], [\"what did I eat for breakfast on 2018/06/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2018/06/06\": {\"exercise\": {\"eid\": \"e5431\", \"logical_representation\": [\"2018/06/06\", \"running\"], \"text_template_based\": \"I did running on 2018/06/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/06/06?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5432\", \"logical_representation\": [\"2018/06/06\", \"breakfast\", \"pancakes\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/06/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/07\": {\"chat0\": {\"eid\": \"e5433\", \"logical_representation\": [\"2018/06/07\", \"Piper, Layla, Piper, Hazel\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Piper, Layla, Piper, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Piper, Hazel during lunch hours on 2018/06/07?\", \"7 minutes\"], [\"who did I talk to on 2018/06/07?\", \"Piper, Layla, Piper, Hazel\"], [\"Did I talk to Piper, Layla, Piper, Hazel on 2018/06/07?\", \"yes\"], [\"Did I talk to anyone on 2018/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/08\": {\"social media\": {\"eid\": \"e5434\", \"logical_representation\": [\"2018/06/08\", \"social media\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/06/08?\", \"19 minutes\"], [\"what did I read on 2018/06/08?\", \"social media\"], [\"Did I read on 2018/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/13\": {\"breakfast\": {\"eid\": \"e5435\", \"logical_representation\": [\"2018/06/13\", \"breakfast\", \"peanut-butter-jam\", \"Claire, Nevaeh, Kinsley, Lydia, Olivia, Piper, Nora, Piper, Hazel, Avery\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Claire, Nevaeh, Kinsley, Lydia, Olivia, Piper, Nora, Piper, Hazel, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/06/13?\", \"Claire, Nevaeh, Kinsley, Lydia, Olivia, Piper, Nora, Piper, Hazel, Avery\"], [\"what did I eat for breakfast on 2018/06/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5436\", \"logical_representation\": [\"2018/06/13\", \"lunch\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/06/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2018/06/14\": {\"lunch\": {\"eid\": \"e5437\", \"logical_representation\": [\"2018/06/14\", \"lunch\", \"indian food\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/06/14\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2018/06/15\": {\"lunch\": {\"eid\": \"e5438\", \"logical_representation\": [\"2018/06/15\", \"lunch\", \"chinese food\", \"Hazel, Olivia, Piper, Avery, Lydia, Rylee, Piper, Eva, Kinsley, Layla, Claire, Nora, Nevaeh\"], \"text_template_based\": \"I had lunch with Hazel, Olivia, Piper, Avery, Lydia, Rylee, Piper, Eva, Kinsley, Layla, Claire, Nora, Nevaeh. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/06/15?\", \"Hazel, Olivia, Piper, Avery, Lydia, Rylee, Piper, Eva, Kinsley, Layla, Claire, Nora, Nevaeh\"], [\"what did I eat for lunch on 2018/06/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5439\", \"logical_representation\": [\"2018/06/15\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/15?\", \"10 minutes\"], [\"what did I watch on tv on 2018/06/15?\", \"a movie\"], [\"Did I watch tv on 2018/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/18\": {\"breakfast\": {\"eid\": \"e5443\", \"logical_representation\": [\"2018/06/18\", \"breakfast\", \"cereals\", \"Avery, Willow\"], \"text_template_based\": \"I had breakfast with Avery, Willow. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/06/18?\", \"Avery, Willow\"], [\"what did I eat for breakfast on 2018/06/18\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2018/06/20\": {\"dinner\": {\"eid\": \"e5446\", \"logical_representation\": [\"2018/06/20\", \"dinner\", \"pasta\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had pasta for dinner with Benjamin, Willow, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/06/20?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for dinner on 2018/06/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5447\", \"logical_representation\": [\"2018/06/20\", \"Piper, Avery, Eva\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Eva for 55 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Eva in the late afternoon on 2018/06/20?\", \"55 minutes\"], [\"who did I talk to on 2018/06/20?\", \"Piper, Avery, Eva\"], [\"Did I talk to Piper, Avery, Eva on 2018/06/20?\", \"yes\"], [\"Did I talk to anyone on 2018/06/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/23\": {\"breakfast\": {\"eid\": \"e5448\", \"logical_representation\": [\"2018/06/23\", \"breakfast\", \"cereals\", \"Nora, Olivia, Kinsley, Claire, Layla, Piper\"], \"text_template_based\": \"I had cereals for breakfast with Nora, Olivia, Kinsley, Claire, Layla, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/06/23?\", \"Nora, Olivia, Kinsley, Claire, Layla, Piper\"], [\"what did I eat for breakfast on 2018/06/23\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2018/06/24\": {\"read\": {\"eid\": \"e5449\", \"logical_representation\": [\"2018/06/24\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/06/24?\", \"31 minutes\"], [\"what did I read on 2018/06/24?\", \"news\"], [\"Did I read on 2018/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/25\": {\"dinner\": {\"eid\": \"e5450\", \"logical_representation\": [\"2018/06/25\", \"dinner\", \"chinese food\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/06/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5451\", \"logical_representation\": [\"2018/06/25\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/25?\", \"18 minutes\"], [\"what did I watch on tv on 2018/06/25?\", \"a movie\"], [\"Did I watch tv on 2018/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/26\": {\"chat0\": {\"eid\": \"e5452\", \"logical_representation\": [\"2018/06/26\", \"Kinsley, Layla, Eva, Claire\", \"in the early afternoon\", \"28 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla, Eva, Claire for 28 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Eva, Claire in the early afternoon on 2018/06/26?\", \"28 minutes\"], [\"who did I talk to on 2018/06/26?\", \"Kinsley, Layla, Eva, Claire\"], [\"Did I talk to Kinsley, Layla, Eva, Claire on 2018/06/26?\", \"yes\"], [\"Did I talk to anyone on 2018/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5453\", \"logical_representation\": [\"2018/06/26\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/26?\", \"54 minutes\"], [\"what did I watch on tv on 2018/06/26?\", \"a tv series\"], [\"Did I watch tv on 2018/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/06/27\": {\"watch tv\": {\"eid\": \"e5454\", \"logical_representation\": [\"2018/06/27\", \"a tv series\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/06/27?\", \"50 minutes\"], [\"what did I watch on tv on 2018/06/27?\", \"a tv series\"], [\"Did I watch tv on 2018/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/01\": {\"dinner\": {\"eid\": \"e5457\", \"logical_representation\": [\"2018/07/01\", \"dinner\", \"a burger\", \"Piper, Layla, Kinsley\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/07/01\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2018/07/02\": {\"chat0\": {\"eid\": \"e5458\", \"logical_representation\": [\"2018/07/02\", \"Nevaeh\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2018/07/02?\", \"49 minutes\"], [\"who did I talk to on 2018/07/02?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2018/07/02?\", \"yes\"], [\"Did I talk to anyone on 2018/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/05\": {\"read\": {\"eid\": \"e5461\", \"logical_representation\": [\"2018/07/05\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/07/05?\", \"38 minutes\"], [\"what did I read on 2018/07/05?\", \"a book\"], [\"Did I read on 2018/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/06\": {\"exercise\": {\"eid\": \"e5462\", \"logical_representation\": [\"2018/07/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/07/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5463\", \"logical_representation\": [\"2018/07/06\", \"breakfast\", \"toast and cheese\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5464\", \"logical_representation\": [\"2018/07/06\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/07/06?\", \"37 minutes\"], [\"what did I read on 2018/07/06?\", \"social media\"], [\"Did I read on 2018/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5465\", \"logical_representation\": [\"2018/07/06\", \"a documentary\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/06?\", \"6 minutes\"], [\"what did I watch on tv on 2018/07/06?\", \"a documentary\"], [\"Did I watch tv on 2018/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/08\": {\"exercise\": {\"eid\": \"e5469\", \"logical_representation\": [\"2018/07/08\", \"running\"], \"text_template_based\": \"I did running on 2018/07/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5470\", \"logical_representation\": [\"2018/07/08\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/08?\", \"12 minutes\"], [\"what did I watch on tv on 2018/07/08?\", \"news\"], [\"Did I watch tv on 2018/07/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/09\": {\"lunch\": {\"eid\": \"e5471\", \"logical_representation\": [\"2018/07/09\", \"lunch\", \"tacos\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/07/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5472\", \"logical_representation\": [\"2018/07/09\", \"Piper, Rylee\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee for 51 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee in the late afternoon on 2018/07/09?\", \"51 minutes\"], [\"who did I talk to on 2018/07/09?\", \"Piper, Rylee\"], [\"Did I talk to Piper, Rylee on 2018/07/09?\", \"yes\"], [\"Did I talk to anyone on 2018/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/10\": {\"social media\": {\"eid\": \"e5473\", \"logical_representation\": [\"2018/07/10\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/07/10?\", \"29 minutes\"], [\"what did I read on 2018/07/10?\", \"social media\"], [\"Did I read on 2018/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/11\": {\"chat0\": {\"eid\": \"e5474\", \"logical_representation\": [\"2018/07/11\", \"Rylee, Piper, Kinsley, Piper\", \"during lunch hours\", \"55 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper, Kinsley, Piper for 55 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Kinsley, Piper during lunch hours on 2018/07/11?\", \"55 minutes\"], [\"who did I talk to on 2018/07/11?\", \"Rylee, Piper, Kinsley, Piper\"], [\"Did I talk to Rylee, Piper, Kinsley, Piper on 2018/07/11?\", \"yes\"], [\"Did I talk to anyone on 2018/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/12\": {\"exercise\": {\"eid\": \"e5475\", \"logical_representation\": [\"2018/07/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/07/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5476\", \"logical_representation\": [\"2018/07/12\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I watched a documentary for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/07/12?\", \"30 minutes\"], [\"what did I watch on tv on 2018/07/12?\", \"a documentary\"], [\"Did I watch tv on 2018/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/13\": {\"lunch\": {\"eid\": \"e5477\", \"logical_representation\": [\"2018/07/13\", \"lunch\", \"fish and chips\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/07/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5478\", \"logical_representation\": [\"2018/07/13\", \"dinner\", \"steak\", \"Claire, Kinsley, Nevaeh, Piper, Eva\"], \"text_template_based\": \"I had dinner with Claire, Kinsley, Nevaeh, Piper, Eva. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/07/13?\", \"Claire, Kinsley, Nevaeh, Piper, Eva\"], [\"what did I eat for dinner on 2018/07/13\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2018/07/15\": {\"exercise\": {\"eid\": \"e5480\", \"logical_representation\": [\"2018/07/15\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/07/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/15?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2018/07/17\": {\"breakfast\": {\"eid\": \"e5483\", \"logical_representation\": [\"2018/07/17\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/07/17?\", \"Kayden\"], [\"what did I eat for breakfast on 2018/07/17\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2018/07/18\": {\"exercise\": {\"eid\": \"e5484\", \"logical_representation\": [\"2018/07/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/07/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2018/07/19\": {\"breakfast\": {\"eid\": \"e5485\", \"logical_representation\": [\"2018/07/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2018/07/22\": {\"chat0\": {\"eid\": \"e5488\", \"logical_representation\": [\"2018/07/22\", \"Avery, Layla, Nevaeh, Claire\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Avery, Layla, Nevaeh, Claire for 17 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Nevaeh, Claire late in the evening on 2018/07/22?\", \"17 minutes\"], [\"who did I talk to on 2018/07/22?\", \"Avery, Layla, Nevaeh, Claire\"], [\"Did I talk to Avery, Layla, Nevaeh, Claire on 2018/07/22?\", \"yes\"], [\"Did I talk to anyone on 2018/07/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/23\": {\"breakfast\": {\"eid\": \"e5489\", \"logical_representation\": [\"2018/07/23\", \"breakfast\", \"cereals\", \"Layla, Olivia, Claire, Lydia, Nora, Eva, Rylee, Avery, Piper, Hazel\"], \"text_template_based\": \"I had cereals for breakfast with Layla, Olivia, Claire, Lydia, Nora, Eva, Rylee, Avery, Piper, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/07/23?\", \"Layla, Olivia, Claire, Lydia, Nora, Eva, Rylee, Avery, Piper, Hazel\"], [\"what did I eat for breakfast on 2018/07/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5490\", \"logical_representation\": [\"2018/07/23\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/07/23?\", \"29 minutes\"], [\"what did I read on 2018/07/23?\", \"news\"], [\"Did I read on 2018/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/25\": {\"exercise\": {\"eid\": \"e5493\", \"logical_representation\": [\"2018/07/25\", \"hiking\"], \"text_template_based\": \"I did hiking on 2018/07/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/25?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2018/07/26\": {\"chat0\": {\"eid\": \"e5494\", \"logical_representation\": [\"2018/07/26\", \"Avery, Lydia\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Avery, Lydia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia in the early evening on 2018/07/26?\", \"20 minutes\"], [\"who did I talk to on 2018/07/26?\", \"Avery, Lydia\"], [\"Did I talk to Avery, Lydia on 2018/07/26?\", \"yes\"], [\"Did I talk to anyone on 2018/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/27\": {\"chat0\": {\"eid\": \"e5495\", \"logical_representation\": [\"2018/07/27\", \"Eva, Piper, Hazel\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Eva, Piper, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Hazel in the morning on 2018/07/27?\", \"6 minutes\"], [\"who did I talk to on 2018/07/27?\", \"Eva, Piper, Hazel\"], [\"Did I talk to Eva, Piper, Hazel on 2018/07/27?\", \"yes\"], [\"Did I talk to anyone on 2018/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/28\": {\"dinner\": {\"eid\": \"e5496\", \"logical_representation\": [\"2018/07/28\", \"dinner\", \"a burger\", \"Kinsley, Claire, Lydia, Nora, Eva, Layla\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/07/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5497\", \"logical_representation\": [\"2018/07/28\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/07/28?\", \"13 minutes\"], [\"what did I read on 2018/07/28?\", \"a book\"], [\"Did I read on 2018/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/07/30\": {\"exercise\": {\"eid\": \"e5499\", \"logical_representation\": [\"2018/07/30\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/07/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/07/30?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5500\", \"logical_representation\": [\"2018/07/30\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/07/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5501\", \"logical_representation\": [\"2018/07/30\", \"dinner\", \"steak\", \"Kinsley, Nora, Layla, Hazel, Claire, Lydia, Rylee\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/07/30\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2018/07/31\": {\"read\": {\"eid\": \"e5502\", \"logical_representation\": [\"2018/07/31\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/07/31?\", \"26 minutes\"], [\"what did I read on 2018/07/31?\", \"news\"], [\"Did I read on 2018/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/01\": {\"breakfast\": {\"eid\": \"e5503\", \"logical_representation\": [\"2018/08/01\", \"breakfast\", \"pancakes\", \"Jackson\"], \"text_template_based\": \"I had breakfast with Jackson. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/08/01?\", \"Jackson\"], [\"what did I eat for breakfast on 2018/08/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5504\", \"logical_representation\": [\"2018/08/01\", \"Claire, Avery\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Claire, Avery for 12 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery late in the evening on 2018/08/01?\", \"12 minutes\"], [\"who did I talk to on 2018/08/01?\", \"Claire, Avery\"], [\"Did I talk to Claire, Avery on 2018/08/01?\", \"yes\"], [\"Did I talk to anyone on 2018/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/04\": {\"dinner\": {\"eid\": \"e5505\", \"logical_representation\": [\"2018/08/04\", \"dinner\", \"sandwich\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5506\", \"logical_representation\": [\"2018/08/04\", \"Nora\", \"in the late afternoon\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2018/08/04?\", \"29 minutes\"], [\"who did I talk to on 2018/08/04?\", \"Nora\"], [\"Did I talk to Nora on 2018/08/04?\", \"yes\"], [\"Did I talk to anyone on 2018/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/05\": {\"dinner\": {\"eid\": \"e5507\", \"logical_representation\": [\"2018/08/05\", \"dinner\", \"sandwich\", \"Willow, Avery\"], \"text_template_based\": \"I had dinner with Willow, Avery. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/08/05?\", \"Willow, Avery\"], [\"what did I eat for dinner on 2018/08/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5508\", \"logical_representation\": [\"2018/08/05\", \"Hazel, Piper, Layla\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I talked to Hazel, Piper, Layla for 51 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Layla during lunch hours on 2018/08/05?\", \"51 minutes\"], [\"who did I talk to on 2018/08/05?\", \"Hazel, Piper, Layla\"], [\"Did I talk to Hazel, Piper, Layla on 2018/08/05?\", \"yes\"], [\"Did I talk to anyone on 2018/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5509\", \"logical_representation\": [\"2018/08/05\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/08/05?\", \"55 minutes\"], [\"what did I read on 2018/08/05?\", \"news\"], [\"Did I read on 2018/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/08\": {\"dinner\": {\"eid\": \"e5512\", \"logical_representation\": [\"2018/08/08\", \"dinner\", \"a burger\", \"Nevaeh, Lydia\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/08\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2018/08/11\": {\"watch tv\": {\"eid\": \"e5514\", \"logical_representation\": [\"2018/08/11\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/11?\", \"27 minutes\"], [\"what did I watch on tv on 2018/08/11?\", \"a documentary\"], [\"Did I watch tv on 2018/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/12\": {\"lunch\": {\"eid\": \"e5515\", \"logical_representation\": [\"2018/08/12\", \"lunch\", \"pasta\", \"Kayden, Carter\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/08/12\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5516\", \"logical_representation\": [\"2018/08/12\", \"dinner\", \"a burger\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner with Emily, Carter. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/08/12?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2018/08/12\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5517\", \"logical_representation\": [\"2018/08/12\", \"a documentary\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/12?\", \"13 minutes\"], [\"what did I watch on tv on 2018/08/12?\", \"a documentary\"], [\"Did I watch tv on 2018/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/13\": {\"dinner\": {\"eid\": \"e5518\", \"logical_representation\": [\"2018/08/13\", \"dinner\", \"fish and chips\", \"Nora, Lydia, Nevaeh, Piper, Hazel, Piper, Kinsley\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5519\", \"logical_representation\": [\"2018/08/13\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I watched a documentary for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/13?\", \"46 minutes\"], [\"what did I watch on tv on 2018/08/13?\", \"a documentary\"], [\"Did I watch tv on 2018/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/16\": {\"breakfast\": {\"eid\": \"e5520\", \"logical_representation\": [\"2018/08/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora, Avery, Kinsley\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/08/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5521\", \"logical_representation\": [\"2018/08/16\", \"Rylee, Lydia, Olivia, Kinsley\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I talked to Rylee, Lydia, Olivia, Kinsley for 39 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia, Olivia, Kinsley in the morning on 2018/08/16?\", \"39 minutes\"], [\"who did I talk to on 2018/08/16?\", \"Rylee, Lydia, Olivia, Kinsley\"], [\"Did I talk to Rylee, Lydia, Olivia, Kinsley on 2018/08/16?\", \"yes\"], [\"Did I talk to anyone on 2018/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5522\", \"logical_representation\": [\"2018/08/16\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/16?\", \"19 minutes\"], [\"what did I watch on tv on 2018/08/16?\", \"a movie\"], [\"Did I watch tv on 2018/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/18\": {\"watch tv\": {\"eid\": \"e5525\", \"logical_representation\": [\"2018/08/18\", \"news\", \"34 minutes\"], \"text_template_based\": \"I watched news for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/18?\", \"34 minutes\"], [\"what did I watch on tv on 2018/08/18?\", \"news\"], [\"Did I watch tv on 2018/08/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/22\": {\"exercise\": {\"eid\": \"e5527\", \"logical_representation\": [\"2018/08/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/08/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/08/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5528\", \"logical_representation\": [\"2018/08/22\", \"Nevaeh, Lydia, Avery, Rylee\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Lydia, Avery, Rylee for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Lydia, Avery, Rylee in the morning on 2018/08/22?\", \"45 minutes\"], [\"who did I talk to on 2018/08/22?\", \"Nevaeh, Lydia, Avery, Rylee\"], [\"Did I talk to Nevaeh, Lydia, Avery, Rylee on 2018/08/22?\", \"yes\"], [\"Did I talk to anyone on 2018/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/25\": {\"breakfast\": {\"eid\": \"e5529\", \"logical_representation\": [\"2018/08/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/08/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5530\", \"logical_representation\": [\"2018/08/25\", \"lunch\", \"fish and chips\", \"Eva, Piper, Claire, Nora, Avery, Piper, Lydia, Layla\"], \"text_template_based\": \"I had fish and chips for lunch with Eva, Piper, Claire, Nora, Avery, Piper, Lydia, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/08/25?\", \"Eva, Piper, Claire, Nora, Avery, Piper, Lydia, Layla\"], [\"what did I eat for lunch on 2018/08/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5531\", \"logical_representation\": [\"2018/08/25\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/08/25?\", \"5 minutes\"], [\"what did I watch on tv on 2018/08/25?\", \"a tv series\"], [\"Did I watch tv on 2018/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/28\": {\"breakfast\": {\"eid\": \"e5532\", \"logical_representation\": [\"2018/08/28\", \"breakfast\", \"cereals\", \"Emily, Carter\"], \"text_template_based\": \"I had cereals for breakfast with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/08/28?\", \"Emily, Carter\"], [\"what did I eat for breakfast on 2018/08/28\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5533\", \"logical_representation\": [\"2018/08/28\", \"Claire, Nora, Piper, Kinsley\", \"in the morning\", \"20 minutes\"], \"text_template_based\": \"I talked to Claire, Nora, Piper, Kinsley for 20 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nora, Piper, Kinsley in the morning on 2018/08/28?\", \"20 minutes\"], [\"who did I talk to on 2018/08/28?\", \"Claire, Nora, Piper, Kinsley\"], [\"Did I talk to Claire, Nora, Piper, Kinsley on 2018/08/28?\", \"yes\"], [\"Did I talk to anyone on 2018/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5534\", \"logical_representation\": [\"2018/08/28\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/08/28?\", \"52 minutes\"], [\"what did I read on 2018/08/28?\", \"a book\"], [\"Did I read on 2018/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/08/29\": {\"breakfast\": {\"eid\": \"e5535\", \"logical_representation\": [\"2018/08/29\", \"breakfast\", \"oatmeal\", \"Willow, Benjamin\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/08/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2018/08/30\": {\"lunch\": {\"eid\": \"e5536\", \"logical_representation\": [\"2018/08/30\", \"lunch\", \"indian food\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/08/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5537\", \"logical_representation\": [\"2018/08/30\", \"dinner\", \"sandwich\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/08/30\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5538\", \"logical_representation\": [\"2018/08/30\", \"Claire, Rylee, Kinsley\", \"in the early afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Claire, Rylee, Kinsley for 32 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Rylee, Kinsley in the early afternoon on 2018/08/30?\", \"32 minutes\"], [\"who did I talk to on 2018/08/30?\", \"Claire, Rylee, Kinsley\"], [\"Did I talk to Claire, Rylee, Kinsley on 2018/08/30?\", \"yes\"], [\"Did I talk to anyone on 2018/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/01\": {\"dinner\": {\"eid\": \"e5539\", \"logical_representation\": [\"2018/09/01\", \"dinner\", \"fish and chips\", \"Nevaeh, Layla, Hazel, Avery, Claire, Kinsley, Nora, Piper, Lydia, Olivia\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/09/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5540\", \"logical_representation\": [\"2018/09/01\", \"a movie\", \"24 minutes\"], \"text_template_based\": \"I watched a movie for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/01?\", \"24 minutes\"], [\"what did I watch on tv on 2018/09/01?\", \"a movie\"], [\"Did I watch tv on 2018/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/02\": {\"social media\": {\"eid\": \"e5541\", \"logical_representation\": [\"2018/09/02\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/09/02?\", \"24 minutes\"], [\"what did I read on 2018/09/02?\", \"social media\"], [\"Did I read on 2018/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/03\": {\"breakfast\": {\"eid\": \"e5542\", \"logical_representation\": [\"2018/09/03\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/09/03\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5543\", \"logical_representation\": [\"2018/09/03\", \"Claire, Piper, Piper\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Claire, Piper, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Piper during lunch hours on 2018/09/03?\", \"43 minutes\"], [\"who did I talk to on 2018/09/03?\", \"Claire, Piper, Piper\"], [\"Did I talk to Claire, Piper, Piper on 2018/09/03?\", \"yes\"], [\"Did I talk to anyone on 2018/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5544\", \"logical_representation\": [\"2018/09/03\", \"a documentary\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/03?\", \"35 minutes\"], [\"what did I watch on tv on 2018/09/03?\", \"a documentary\"], [\"Did I watch tv on 2018/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/05\": {\"chat0\": {\"eid\": \"e5547\", \"logical_representation\": [\"2018/09/05\", \"Claire, Hazel\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Claire, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel in the early afternoon on 2018/09/05?\", \"51 minutes\"], [\"who did I talk to on 2018/09/05?\", \"Claire, Hazel\"], [\"Did I talk to Claire, Hazel on 2018/09/05?\", \"yes\"], [\"Did I talk to anyone on 2018/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/06\": {\"social media\": {\"eid\": \"e5548\", \"logical_representation\": [\"2018/09/06\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/09/06?\", \"22 minutes\"], [\"what did I read on 2018/09/06?\", \"social media\"], [\"Did I read on 2018/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/10\": {\"dinner\": {\"eid\": \"e5550\", \"logical_representation\": [\"2018/09/10\", \"dinner\", \"fish and chips\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had fish and chips for dinner with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/09/10?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2018/09/10\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5551\", \"logical_representation\": [\"2018/09/10\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/09/10?\", \"18 minutes\"], [\"what did I read on 2018/09/10?\", \"news\"], [\"Did I read on 2018/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/11\": {\"chat0\": {\"eid\": \"e5552\", \"logical_representation\": [\"2018/09/11\", \"Layla, Piper, Hazel\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Layla, Piper, Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Hazel during lunch hours on 2018/09/11?\", \"35 minutes\"], [\"who did I talk to on 2018/09/11?\", \"Layla, Piper, Hazel\"], [\"Did I talk to Layla, Piper, Hazel on 2018/09/11?\", \"yes\"], [\"Did I talk to anyone on 2018/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/12\": {\"dinner\": {\"eid\": \"e5553\", \"logical_representation\": [\"2018/09/12\", \"dinner\", \"fish and chips\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/09/12?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2018/09/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2018/09/13\": {\"breakfast\": {\"eid\": \"e5554\", \"logical_representation\": [\"2018/09/13\", \"breakfast\", \"cereals\", \"Rylee, Claire, Kinsley, Nora, Hazel, Piper, Olivia, Eva, Nevaeh, Lydia\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/09/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5555\", \"logical_representation\": [\"2018/09/13\", \"Avery, Kinsley\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Avery, Kinsley on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley late in the evening on 2018/09/13?\", \"42 minutes\"], [\"who did I talk to on 2018/09/13?\", \"Avery, Kinsley\"], [\"Did I talk to Avery, Kinsley on 2018/09/13?\", \"yes\"], [\"Did I talk to anyone on 2018/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5556\", \"logical_representation\": [\"2018/09/13\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/09/13?\", \"9 minutes\"], [\"what did I read on 2018/09/13?\", \"a book\"], [\"Did I read on 2018/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5557\", \"logical_representation\": [\"2018/09/13\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/13?\", \"43 minutes\"], [\"what did I watch on tv on 2018/09/13?\", \"a tv series\"], [\"Did I watch tv on 2018/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/14\": {\"breakfast\": {\"eid\": \"e5558\", \"logical_representation\": [\"2018/09/14\", \"breakfast\", \"pancakes\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had pancakes for breakfast with Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/09/14?\", \"Andrew, Carter, Emily\"], [\"what did I eat for breakfast on 2018/09/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5559\", \"logical_representation\": [\"2018/09/14\", \"lunch\", \"indian food\", \"Carter, Emily\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/14\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5560\", \"logical_representation\": [\"2018/09/14\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/14?\", \"39 minutes\"], [\"what did I watch on tv on 2018/09/14?\", \"a documentary\"], [\"Did I watch tv on 2018/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/15\": {\"exercise\": {\"eid\": \"e5561\", \"logical_representation\": [\"2018/09/15\", \"running\"], \"text_template_based\": \"I did running on 2018/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/15?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2018/09/16\": {\"lunch\": {\"eid\": \"e5562\", \"logical_representation\": [\"2018/09/16\", \"lunch\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5563\", \"logical_representation\": [\"2018/09/16\", \"Layla, Piper, Eva, Olivia\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Layla, Piper, Eva, Olivia on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Eva, Olivia in the early evening on 2018/09/16?\", \"51 minutes\"], [\"who did I talk to on 2018/09/16?\", \"Layla, Piper, Eva, Olivia\"], [\"Did I talk to Layla, Piper, Eva, Olivia on 2018/09/16?\", \"yes\"], [\"Did I talk to anyone on 2018/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/18\": {\"dinner\": {\"eid\": \"e5564\", \"logical_representation\": [\"2018/09/18\", \"dinner\", \"indian food\", \"Layla, Hazel, Nevaeh, Claire, Nora, Avery, Kinsley\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/09/18\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2018/09/20\": {\"exercise\": {\"eid\": \"e5565\", \"logical_representation\": [\"2018/09/20\", \"biking\"], \"text_template_based\": \"I did biking on 2018/09/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/20?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5566\", \"logical_representation\": [\"2018/09/20\", \"breakfast\", \"oatmeal\", \"Piper, Nora, Rylee, Hazel, Nevaeh, Lydia, Avery, Olivia\"], \"text_template_based\": \"I had oatmeal for breakfast with Piper, Nora, Rylee, Hazel, Nevaeh, Lydia, Avery, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/09/20?\", \"Piper, Nora, Rylee, Hazel, Nevaeh, Lydia, Avery, Olivia\"], [\"what did I eat for breakfast on 2018/09/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2018/09/22\": {\"exercise\": {\"eid\": \"e5567\", \"logical_representation\": [\"2018/09/22\", \"running\"], \"text_template_based\": \"I did running on 2018/09/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5568\", \"logical_representation\": [\"2018/09/22\", \"Lydia, Eva, Hazel, Nevaeh\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Lydia, Eva, Hazel, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Hazel, Nevaeh late in the evening on 2018/09/22?\", \"47 minutes\"], [\"who did I talk to on 2018/09/22?\", \"Lydia, Eva, Hazel, Nevaeh\"], [\"Did I talk to Lydia, Eva, Hazel, Nevaeh on 2018/09/22?\", \"yes\"], [\"Did I talk to anyone on 2018/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/24\": {\"watch tv\": {\"eid\": \"e5571\", \"logical_representation\": [\"2018/09/24\", \"a movie\", \"47 minutes\"], \"text_template_based\": \"I watched a movie for 47 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/24?\", \"47 minutes\"], [\"what did I watch on tv on 2018/09/24?\", \"a movie\"], [\"Did I watch tv on 2018/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/25\": {\"lunch\": {\"eid\": \"e5572\", \"logical_representation\": [\"2018/09/25\", \"lunch\", \"chinese food\", \"Jackson\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5573\", \"logical_representation\": [\"2018/09/25\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/09/25?\", \"40 minutes\"], [\"what did I watch on tv on 2018/09/25?\", \"news\"], [\"Did I watch tv on 2018/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/26\": {\"exercise\": {\"eid\": \"e5574\", \"logical_representation\": [\"2018/09/26\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/09/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/26?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5575\", \"logical_representation\": [\"2018/09/26\", \"Layla, Piper\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Layla, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper in the early evening on 2018/09/26?\", \"29 minutes\"], [\"who did I talk to on 2018/09/26?\", \"Layla, Piper\"], [\"Did I talk to Layla, Piper on 2018/09/26?\", \"yes\"], [\"Did I talk to anyone on 2018/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/27\": {\"exercise\": {\"eid\": \"e5576\", \"logical_representation\": [\"2018/09/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/09/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/09/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5577\", \"logical_representation\": [\"2018/09/27\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/09/27?\", \"Andrew\"], [\"what did I eat for breakfast on 2018/09/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5578\", \"logical_representation\": [\"2018/09/27\", \"lunch\", \"steak\", \"Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5579\", \"logical_representation\": [\"2018/09/27\", \"Rylee, Piper, Piper, Nevaeh\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper, Piper, Nevaeh for 45 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Piper, Nevaeh late in the evening on 2018/09/27?\", \"45 minutes\"], [\"who did I talk to on 2018/09/27?\", \"Rylee, Piper, Piper, Nevaeh\"], [\"Did I talk to Rylee, Piper, Piper, Nevaeh on 2018/09/27?\", \"yes\"], [\"Did I talk to anyone on 2018/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/09/28\": {\"lunch\": {\"eid\": \"e5580\", \"logical_representation\": [\"2018/09/28\", \"lunch\", \"sushi\", \"Lydia, Kinsley, Layla, Avery, Claire, Piper, Nora, Nevaeh\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/09/28\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5581\", \"logical_representation\": [\"2018/09/28\", \"dinner\", \"pasta\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/09/28\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2018/09/29\": {\"chat0\": {\"eid\": \"e5582\", \"logical_representation\": [\"2018/09/29\", \"Avery\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I talked to Avery for 26 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2018/09/29?\", \"26 minutes\"], [\"who did I talk to on 2018/09/29?\", \"Avery\"], [\"Did I talk to Avery on 2018/09/29?\", \"yes\"], [\"Did I talk to anyone on 2018/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/01\": {\"dinner\": {\"eid\": \"e5583\", \"logical_representation\": [\"2018/10/01\", \"dinner\", \"sushi\", \"Piper, Rylee, Hazel, Eva, Layla, Nora, Avery, Claire\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5584\", \"logical_representation\": [\"2018/10/01\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/01?\", \"30 minutes\"], [\"what did I watch on tv on 2018/10/01?\", \"news\"], [\"Did I watch tv on 2018/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/03\": {\"read\": {\"eid\": \"e5588\", \"logical_representation\": [\"2018/10/03\", \"a book\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/10/03?\", \"35 minutes\"], [\"what did I read on 2018/10/03?\", \"a book\"], [\"Did I read on 2018/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/04\": {\"exercise\": {\"eid\": \"e5589\", \"logical_representation\": [\"2018/10/04\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/10/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/04?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5590\", \"logical_representation\": [\"2018/10/04\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I had breakfast with Andrew. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/10/04?\", \"Andrew\"], [\"what did I eat for breakfast on 2018/10/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5591\", \"logical_representation\": [\"2018/10/04\", \"dinner\", \"fish and chips\", \"Piper, Nevaeh, Hazel, Piper, Layla, Olivia, Lydia, Claire, Avery, Rylee, Nora, Eva\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2018/10/05\": {\"exercise\": {\"eid\": \"e5592\", \"logical_representation\": [\"2018/10/05\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/10/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/05?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2018/10/07\": {\"lunch\": {\"eid\": \"e5593\", \"logical_representation\": [\"2018/10/07\", \"lunch\", \"chinese food\", \"Jackson\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/10/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5594\", \"logical_representation\": [\"2018/10/07\", \"Hazel, Nevaeh\", \"in the morning\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Hazel, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nevaeh in the morning on 2018/10/07?\", \"8 minutes\"], [\"who did I talk to on 2018/10/07?\", \"Hazel, Nevaeh\"], [\"Did I talk to Hazel, Nevaeh on 2018/10/07?\", \"yes\"], [\"Did I talk to anyone on 2018/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/08\": {\"social media\": {\"eid\": \"e5595\", \"logical_representation\": [\"2018/10/08\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/10/08?\", \"23 minutes\"], [\"what did I read on 2018/10/08?\", \"social media\"], [\"Did I read on 2018/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/09\": {\"lunch\": {\"eid\": \"e5596\", \"logical_representation\": [\"2018/10/09\", \"lunch\", \"tacos\", \"Carter, Andrew\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/10/09\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2018/10/10\": {\"exercise\": {\"eid\": \"e5597\", \"logical_representation\": [\"2018/10/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/10/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2018/10/11\": {\"chat0\": {\"eid\": \"e5598\", \"logical_representation\": [\"2018/10/11\", \"Lydia, Piper, Hazel\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Lydia, Piper, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Hazel in the early afternoon on 2018/10/11?\", \"25 minutes\"], [\"who did I talk to on 2018/10/11?\", \"Lydia, Piper, Hazel\"], [\"Did I talk to Lydia, Piper, Hazel on 2018/10/11?\", \"yes\"], [\"Did I talk to anyone on 2018/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/12\": {\"dinner\": {\"eid\": \"e5599\", \"logical_representation\": [\"2018/10/12\", \"dinner\", \"steak\", \"Claire, Hazel, Olivia, Piper, Layla, Nora, Avery, Piper, Lydia, Kinsley, Rylee\"], \"text_template_based\": \"I had dinner with Claire, Hazel, Olivia, Piper, Layla, Nora, Avery, Piper, Lydia, Kinsley, Rylee. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/10/12?\", \"Claire, Hazel, Olivia, Piper, Layla, Nora, Avery, Piper, Lydia, Kinsley, Rylee\"], [\"what did I eat for dinner on 2018/10/12\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5600\", \"logical_representation\": [\"2018/10/12\", \"Nora, Rylee, Claire\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Nora, Rylee, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Claire in the late afternoon on 2018/10/12?\", \"38 minutes\"], [\"who did I talk to on 2018/10/12?\", \"Nora, Rylee, Claire\"], [\"Did I talk to Nora, Rylee, Claire on 2018/10/12?\", \"yes\"], [\"Did I talk to anyone on 2018/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/13\": {\"chat0\": {\"eid\": \"e5601\", \"logical_representation\": [\"2018/10/13\", \"Rylee, Piper, Layla, Olivia\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Rylee, Piper, Layla, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Layla, Olivia in the early afternoon on 2018/10/13?\", \"51 minutes\"], [\"who did I talk to on 2018/10/13?\", \"Rylee, Piper, Layla, Olivia\"], [\"Did I talk to Rylee, Piper, Layla, Olivia on 2018/10/13?\", \"yes\"], [\"Did I talk to anyone on 2018/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5602\", \"logical_representation\": [\"2018/10/13\", \"a tv series\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/13?\", \"48 minutes\"], [\"what did I watch on tv on 2018/10/13?\", \"a tv series\"], [\"Did I watch tv on 2018/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/14\": {\"lunch\": {\"eid\": \"e5603\", \"logical_representation\": [\"2018/10/14\", \"lunch\", \"indian food\", \"Emily, Carter\"], \"text_template_based\": \"I had lunch with Emily, Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/10/14?\", \"Emily, Carter\"], [\"what did I eat for lunch on 2018/10/14\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2018/10/15\": {\"lunch\": {\"eid\": \"e5604\", \"logical_representation\": [\"2018/10/15\", \"lunch\", \"pasta\", \"Lydia\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/10/15\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2018/10/17\": {\"exercise\": {\"eid\": \"e5606\", \"logical_representation\": [\"2018/10/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/10/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2018/10/19\": {\"chat0\": {\"eid\": \"e5608\", \"logical_representation\": [\"2018/10/19\", \"Olivia, Layla, Eva\", \"late in the evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Olivia, Layla, Eva for 46 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Eva late in the evening on 2018/10/19?\", \"46 minutes\"], [\"who did I talk to on 2018/10/19?\", \"Olivia, Layla, Eva\"], [\"Did I talk to Olivia, Layla, Eva on 2018/10/19?\", \"yes\"], [\"Did I talk to anyone on 2018/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/20\": {\"breakfast\": {\"eid\": \"e5609\", \"logical_representation\": [\"2018/10/20\", \"breakfast\", \"pancakes\", \"Emily, Kayden\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5610\", \"logical_representation\": [\"2018/10/20\", \"Piper, Kinsley\", \"in the late afternoon\", \"54 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley for 54 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley in the late afternoon on 2018/10/20?\", \"54 minutes\"], [\"who did I talk to on 2018/10/20?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2018/10/20?\", \"yes\"], [\"Did I talk to anyone on 2018/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5611\", \"logical_representation\": [\"2018/10/20\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/10/20?\", \"51 minutes\"], [\"what did I read on 2018/10/20?\", \"news\"], [\"Did I read on 2018/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/21\": {\"exercise\": {\"eid\": \"e5612\", \"logical_representation\": [\"2018/10/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/10/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5613\", \"logical_representation\": [\"2018/10/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2018/10/24\": {\"breakfast\": {\"eid\": \"e5616\", \"logical_representation\": [\"2018/10/24\", \"breakfast\", \"oatmeal\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2018/10/25\": {\"exercise\": {\"eid\": \"e5617\", \"logical_representation\": [\"2018/10/25\", \"running\"], \"text_template_based\": \"I did running on 2018/10/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/10/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5618\", \"logical_representation\": [\"2018/10/25\", \"dinner\", \"pasta\", \"Emily, Andrew\"], \"text_template_based\": \"I had pasta for dinner with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/10/25?\", \"Emily, Andrew\"], [\"what did I eat for dinner on 2018/10/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5619\", \"logical_representation\": [\"2018/10/25\", \"Claire\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I spent 18 talking to Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2018/10/25?\", \"18 minutes\"], [\"who did I talk to on 2018/10/25?\", \"Claire\"], [\"Did I talk to Claire on 2018/10/25?\", \"yes\"], [\"Did I talk to anyone on 2018/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/26\": {\"breakfast\": {\"eid\": \"e5620\", \"logical_representation\": [\"2018/10/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/26\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5621\", \"logical_representation\": [\"2018/10/26\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/10/26?\", \"19 minutes\"], [\"what did I watch on tv on 2018/10/26?\", \"news\"], [\"Did I watch tv on 2018/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/27\": {\"lunch\": {\"eid\": \"e5622\", \"logical_representation\": [\"2018/10/27\", \"lunch\", \"steak\", \"Hazel, Rylee, Lydia, Nevaeh, Layla, Eva, Olivia, Kinsley\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/10/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5623\", \"logical_representation\": [\"2018/10/27\", \"dinner\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I had fish and chips for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/10/27?\", \"Andrew\"], [\"what did I eat for dinner on 2018/10/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2018/10/29\": {\"dinner\": {\"eid\": \"e5624\", \"logical_representation\": [\"2018/10/29\", \"dinner\", \"a burger\", \"Benjamin\"], \"text_template_based\": \"I had a burger for dinner with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/10/29?\", \"Benjamin\"], [\"what did I eat for dinner on 2018/10/29\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2018/10/30\": {\"breakfast\": {\"eid\": \"e5625\", \"logical_representation\": [\"2018/10/30\", \"breakfast\", \"cereals\", \"Benjamin\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/10/30\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5626\", \"logical_representation\": [\"2018/10/30\", \"dinner\", \"chinese food\", \"Claire, Nora, Avery, Lydia, Eva, Rylee\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/10/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5627\", \"logical_representation\": [\"2018/10/30\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/10/30?\", \"51 minutes\"], [\"what did I read on 2018/10/30?\", \"social media\"], [\"Did I read on 2018/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/10/31\": {\"social media\": {\"eid\": \"e5628\", \"logical_representation\": [\"2018/10/31\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/10/31?\", \"46 minutes\"], [\"what did I read on 2018/10/31?\", \"social media\"], [\"Did I read on 2018/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/05\": {\"watch tv\": {\"eid\": \"e5631\", \"logical_representation\": [\"2018/11/05\", \"a movie\", \"40 minutes\"], \"text_template_based\": \"I watched a movie for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/05?\", \"40 minutes\"], [\"what did I watch on tv on 2018/11/05?\", \"a movie\"], [\"Did I watch tv on 2018/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/07\": {\"chat0\": {\"eid\": \"e5635\", \"logical_representation\": [\"2018/11/07\", \"Piper, Kinsley, Nora\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Piper, Kinsley, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Nora in the late afternoon on 2018/11/07?\", \"32 minutes\"], [\"who did I talk to on 2018/11/07?\", \"Piper, Kinsley, Nora\"], [\"Did I talk to Piper, Kinsley, Nora on 2018/11/07?\", \"yes\"], [\"Did I talk to anyone on 2018/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/10\": {\"chat0\": {\"eid\": \"e5638\", \"logical_representation\": [\"2018/11/10\", \"Kinsley, Hazel, Rylee, Piper\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I talked to Kinsley, Hazel, Rylee, Piper for 41 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Rylee, Piper during lunch hours on 2018/11/10?\", \"41 minutes\"], [\"who did I talk to on 2018/11/10?\", \"Kinsley, Hazel, Rylee, Piper\"], [\"Did I talk to Kinsley, Hazel, Rylee, Piper on 2018/11/10?\", \"yes\"], [\"Did I talk to anyone on 2018/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/11\": {\"breakfast\": {\"eid\": \"e5639\", \"logical_representation\": [\"2018/11/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Kinsley, Claire, Avery\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5640\", \"logical_representation\": [\"2018/11/11\", \"dinner\", \"sushi\", \"Hazel, Olivia, Piper, Avery, Kinsley, Nevaeh, Claire, Eva, Nora\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/11/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5641\", \"logical_representation\": [\"2018/11/11\", \"Hazel, Lydia, Claire, Piper\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia, Claire, Piper for 13 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Claire, Piper during lunch hours on 2018/11/11?\", \"13 minutes\"], [\"who did I talk to on 2018/11/11?\", \"Hazel, Lydia, Claire, Piper\"], [\"Did I talk to Hazel, Lydia, Claire, Piper on 2018/11/11?\", \"yes\"], [\"Did I talk to anyone on 2018/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5642\", \"logical_representation\": [\"2018/11/11\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/11/11?\", \"47 minutes\"], [\"what did I read on 2018/11/11?\", \"news\"], [\"Did I read on 2018/11/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/13\": {\"lunch\": {\"eid\": \"e5645\", \"logical_representation\": [\"2018/11/13\", \"lunch\", \"steak\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had steak for lunch with Andrew, Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/11/13?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for lunch on 2018/11/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5646\", \"logical_representation\": [\"2018/11/13\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/11/13?\", \"30 minutes\"], [\"what did I read on 2018/11/13?\", \"social media\"], [\"Did I read on 2018/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/14\": {\"watch tv\": {\"eid\": \"e5647\", \"logical_representation\": [\"2018/11/14\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/11/14?\", \"22 minutes\"], [\"what did I watch on tv on 2018/11/14?\", \"news\"], [\"Did I watch tv on 2018/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/18\": {\"exercise\": {\"eid\": \"e5652\", \"logical_representation\": [\"2018/11/18\", \"running\"], \"text_template_based\": \"I did running on 2018/11/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/18?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5653\", \"logical_representation\": [\"2018/11/18\", \"breakfast\", \"peanut-butter-jam\", \"Nora, Olivia, Lydia, Piper, Hazel, Nevaeh, Layla, Rylee, Kinsley, Avery, Eva, Claire, Piper\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5654\", \"logical_representation\": [\"2018/11/18\", \"lunch\", \"a burger\", \"Avery, Layla, Claire, Rylee, Eva, Kinsley, Nora\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2018/11/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5655\", \"logical_representation\": [\"2018/11/18\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/11/18?\", \"45 minutes\"], [\"what did I read on 2018/11/18?\", \"social media\"], [\"Did I read on 2018/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/19\": {\"dinner\": {\"eid\": \"e5656\", \"logical_representation\": [\"2018/11/19\", \"dinner\", \"chinese food\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had chinese food for dinner with Willow, Benjamin, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/11/19?\", \"Willow, Benjamin, Avery, Jackson\"], [\"what did I eat for dinner on 2018/11/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5657\", \"logical_representation\": [\"2018/11/19\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/11/19?\", \"19 minutes\"], [\"what did I read on 2018/11/19?\", \"news\"], [\"Did I read on 2018/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/20\": {\"chat0\": {\"eid\": \"e5658\", \"logical_representation\": [\"2018/11/20\", \"Rylee\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2018/11/20?\", \"45 minutes\"], [\"who did I talk to on 2018/11/20?\", \"Rylee\"], [\"Did I talk to Rylee on 2018/11/20?\", \"yes\"], [\"Did I talk to anyone on 2018/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/21\": {\"breakfast\": {\"eid\": \"e5659\", \"logical_representation\": [\"2018/11/21\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Carter, Andrew, Emily. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2018/11/21?\", \"Kayden, Carter, Andrew, Emily\"], [\"what did I eat for breakfast on 2018/11/21\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2018/11/22\": {\"chat0\": {\"eid\": \"e5660\", \"logical_representation\": [\"2018/11/22\", \"Layla, Nora, Lydia\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Layla, Nora, Lydia for 41 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Lydia late in the evening on 2018/11/22?\", \"41 minutes\"], [\"who did I talk to on 2018/11/22?\", \"Layla, Nora, Lydia\"], [\"Did I talk to Layla, Nora, Lydia on 2018/11/22?\", \"yes\"], [\"Did I talk to anyone on 2018/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5661\", \"logical_representation\": [\"2018/11/22\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/11/22?\", \"16 minutes\"], [\"what did I read on 2018/11/22?\", \"social media\"], [\"Did I read on 2018/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/23\": {\"lunch\": {\"eid\": \"e5662\", \"logical_representation\": [\"2018/11/23\", \"lunch\", \"a burger\", \"Eva, Hazel, Lydia, Kinsley, Nora, Rylee, Olivia\"], \"text_template_based\": \"I had lunch with Eva, Hazel, Lydia, Kinsley, Nora, Rylee, Olivia. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/11/23?\", \"Eva, Hazel, Lydia, Kinsley, Nora, Rylee, Olivia\"], [\"what did I eat for lunch on 2018/11/23\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5663\", \"logical_representation\": [\"2018/11/23\", \"Nevaeh\", \"during lunch hours\", \"12 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 12 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh during lunch hours on 2018/11/23?\", \"12 minutes\"], [\"who did I talk to on 2018/11/23?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2018/11/23?\", \"yes\"], [\"Did I talk to anyone on 2018/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/25\": {\"exercise\": {\"eid\": \"e5666\", \"logical_representation\": [\"2018/11/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2018/11/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2018/11/27\": {\"exercise\": {\"eid\": \"e5667\", \"logical_representation\": [\"2018/11/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2018/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2018/11/28\": {\"exercise\": {\"eid\": \"e5668\", \"logical_representation\": [\"2018/11/28\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/11/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/28?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5669\", \"logical_representation\": [\"2018/11/28\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/11/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5670\", \"logical_representation\": [\"2018/11/28\", \"Eva, Avery, Piper\", \"in the early afternoon\", \"31 minutes\"], \"text_template_based\": \"I talked to Eva, Avery, Piper for 31 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Piper in the early afternoon on 2018/11/28?\", \"31 minutes\"], [\"who did I talk to on 2018/11/28?\", \"Eva, Avery, Piper\"], [\"Did I talk to Eva, Avery, Piper on 2018/11/28?\", \"yes\"], [\"Did I talk to anyone on 2018/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/11/30\": {\"exercise\": {\"eid\": \"e5671\", \"logical_representation\": [\"2018/11/30\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/11/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/11/30?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2018/12/01\": {\"chat0\": {\"eid\": \"e5672\", \"logical_representation\": [\"2018/12/01\", \"Layla, Avery, Claire\", \"late in the evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Layla, Avery, Claire for 29 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Claire late in the evening on 2018/12/01?\", \"29 minutes\"], [\"who did I talk to on 2018/12/01?\", \"Layla, Avery, Claire\"], [\"Did I talk to Layla, Avery, Claire on 2018/12/01?\", \"yes\"], [\"Did I talk to anyone on 2018/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/03\": {\"exercise\": {\"eid\": \"e5675\", \"logical_representation\": [\"2018/12/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2018/12/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5676\", \"logical_representation\": [\"2018/12/03\", \"dinner\", \"chinese food\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had chinese food for dinner with Carter, Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/12/03?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for dinner on 2018/12/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5677\", \"logical_representation\": [\"2018/12/03\", \"Kinsley, Piper\", \"in the morning\", \"42 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper for 42 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper in the morning on 2018/12/03?\", \"42 minutes\"], [\"who did I talk to on 2018/12/03?\", \"Kinsley, Piper\"], [\"Did I talk to Kinsley, Piper on 2018/12/03?\", \"yes\"], [\"Did I talk to anyone on 2018/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5678\", \"logical_representation\": [\"2018/12/03\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/12/03?\", \"21 minutes\"], [\"what did I read on 2018/12/03?\", \"social media\"], [\"Did I read on 2018/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5679\", \"logical_representation\": [\"2018/12/03\", \"news\", \"13 minutes\"], \"text_template_based\": \"I watched news for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/03?\", \"13 minutes\"], [\"what did I watch on tv on 2018/12/03?\", \"news\"], [\"Did I watch tv on 2018/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/04\": {\"exercise\": {\"eid\": \"e5680\", \"logical_representation\": [\"2018/12/04\", \"running\"], \"text_template_based\": \"I did running on 2018/12/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2018/12/04?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5681\", \"logical_representation\": [\"2018/12/04\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5682\", \"logical_representation\": [\"2018/12/04\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/12/04?\", \"16 minutes\"], [\"what did I read on 2018/12/04?\", \"news\"], [\"Did I read on 2018/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/05\": {\"dinner\": {\"eid\": \"e5683\", \"logical_representation\": [\"2018/12/05\", \"dinner\", \"steak\", \"Claire, Piper, Nevaeh, Avery\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/05\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2018/12/06\": {\"breakfast\": {\"eid\": \"e5684\", \"logical_representation\": [\"2018/12/06\", \"breakfast\", \"toast and cheese\", \"Claire, Piper, Eva, Nevaeh, Nora, Avery, Piper, Lydia, Olivia, Layla, Rylee\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/06\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5685\", \"logical_representation\": [\"2018/12/06\", \"dinner\", \"a burger\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/06\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2018/12/07\": {\"read\": {\"eid\": \"e5686\", \"logical_representation\": [\"2018/12/07\", \"a book\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/12/07?\", \"52 minutes\"], [\"what did I read on 2018/12/07?\", \"a book\"], [\"Did I read on 2018/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5687\", \"logical_representation\": [\"2018/12/07\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/07?\", \"50 minutes\"], [\"what did I watch on tv on 2018/12/07?\", \"news\"], [\"Did I watch tv on 2018/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/08\": {\"chat0\": {\"eid\": \"e5688\", \"logical_representation\": [\"2018/12/08\", \"Olivia, Kinsley\", \"in the early afternoon\", \"30 minutes\"], \"text_template_based\": \"I talked to Olivia, Kinsley for 30 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley in the early afternoon on 2018/12/08?\", \"30 minutes\"], [\"who did I talk to on 2018/12/08?\", \"Olivia, Kinsley\"], [\"Did I talk to Olivia, Kinsley on 2018/12/08?\", \"yes\"], [\"Did I talk to anyone on 2018/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/09\": {\"breakfast\": {\"eid\": \"e5689\", \"logical_representation\": [\"2018/12/09\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/09\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2018/12/14\": {\"breakfast\": {\"eid\": \"e5695\", \"logical_representation\": [\"2018/12/14\", \"breakfast\", \"pancakes\", \"Nora, Piper, Claire, Avery\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/14\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5696\", \"logical_representation\": [\"2018/12/14\", \"Olivia, Rylee, Kinsley, Nora\", \"late in the evening\", \"25 minutes\"], \"text_template_based\": \"I talked to Olivia, Rylee, Kinsley, Nora for 25 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Rylee, Kinsley, Nora late in the evening on 2018/12/14?\", \"25 minutes\"], [\"who did I talk to on 2018/12/14?\", \"Olivia, Rylee, Kinsley, Nora\"], [\"Did I talk to Olivia, Rylee, Kinsley, Nora on 2018/12/14?\", \"yes\"], [\"Did I talk to anyone on 2018/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5697\", \"logical_representation\": [\"2018/12/14\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/14?\", \"22 minutes\"], [\"what did I watch on tv on 2018/12/14?\", \"a tv series\"], [\"Did I watch tv on 2018/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/17\": {\"social media\": {\"eid\": \"e5703\", \"logical_representation\": [\"2018/12/17\", \"social media\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2018/12/17?\", \"50 minutes\"], [\"what did I read on 2018/12/17?\", \"social media\"], [\"Did I read on 2018/12/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/18\": {\"breakfast\": {\"eid\": \"e5704\", \"logical_representation\": [\"2018/12/18\", \"breakfast\", \"toast and cheese\", \"Piper, Avery, Hazel\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2018/12/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5705\", \"logical_representation\": [\"2018/12/18\", \"lunch\", \"fish and chips\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had lunch with Jackson, Benjamin, Avery, Willow. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/12/18?\", \"Jackson, Benjamin, Avery, Willow\"], [\"what did I eat for lunch on 2018/12/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5706\", \"logical_representation\": [\"2018/12/18\", \"a tv series\", \"34 minutes\"], \"text_template_based\": \"I watched a tv series for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/18?\", \"34 minutes\"], [\"what did I watch on tv on 2018/12/18?\", \"a tv series\"], [\"Did I watch tv on 2018/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/19\": {\"lunch\": {\"eid\": \"e5707\", \"logical_representation\": [\"2018/12/19\", \"lunch\", \"pasta\", \"Olivia, Eva, Hazel, Nevaeh, Avery\"], \"text_template_based\": \"I had lunch with Olivia, Eva, Hazel, Nevaeh, Avery. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2018/12/19?\", \"Olivia, Eva, Hazel, Nevaeh, Avery\"], [\"what did I eat for lunch on 2018/12/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5708\", \"logical_representation\": [\"2018/12/19\", \"a book\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2018/12/19?\", \"25 minutes\"], [\"what did I read on 2018/12/19?\", \"a book\"], [\"Did I read on 2018/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/20\": {\"watch tv\": {\"eid\": \"e5709\", \"logical_representation\": [\"2018/12/20\", \"a documentary\", \"55 minutes\"], \"text_template_based\": \"I watched a documentary for 55 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/20?\", \"55 minutes\"], [\"what did I watch on tv on 2018/12/20?\", \"a documentary\"], [\"Did I watch tv on 2018/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/21\": {\"dinner\": {\"eid\": \"e5710\", \"logical_representation\": [\"2018/12/21\", \"dinner\", \"steak\", \"Eva, Piper, Olivia, Claire, Layla, Hazel, Nora, Avery, Kinsley\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/21\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2018/12/22\": {\"read\": {\"eid\": \"e5711\", \"logical_representation\": [\"2018/12/22\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/12/22?\", \"40 minutes\"], [\"what did I read on 2018/12/22?\", \"news\"], [\"Did I read on 2018/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/26\": {\"chat0\": {\"eid\": \"e5716\", \"logical_representation\": [\"2018/12/26\", \"Rylee\", \"late in the evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee late in the evening on 2018/12/26?\", \"23 minutes\"], [\"who did I talk to on 2018/12/26?\", \"Rylee\"], [\"Did I talk to Rylee on 2018/12/26?\", \"yes\"], [\"Did I talk to anyone on 2018/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5717\", \"logical_representation\": [\"2018/12/26\", \"news\", \"39 minutes\"], \"text_template_based\": \"I watched news for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2018/12/26?\", \"39 minutes\"], [\"what did I watch on tv on 2018/12/26?\", \"news\"], [\"Did I watch tv on 2018/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/27\": {\"chat0\": {\"eid\": \"e5718\", \"logical_representation\": [\"2018/12/27\", \"Lydia, Olivia, Hazel, Avery\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia, Hazel, Avery for 14 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Hazel, Avery late in the evening on 2018/12/27?\", \"14 minutes\"], [\"who did I talk to on 2018/12/27?\", \"Lydia, Olivia, Hazel, Avery\"], [\"Did I talk to Lydia, Olivia, Hazel, Avery on 2018/12/27?\", \"yes\"], [\"Did I talk to anyone on 2018/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5719\", \"logical_representation\": [\"2018/12/27\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2018/12/27?\", \"38 minutes\"], [\"what did I read on 2018/12/27?\", \"news\"], [\"Did I read on 2018/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2018/12/28\": {\"dinner\": {\"eid\": \"e5720\", \"logical_representation\": [\"2018/12/28\", \"dinner\", \"indian food\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I had indian food for dinner with Avery, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2018/12/28?\", \"Avery, Willow, Jackson\"], [\"what did I eat for dinner on 2018/12/28\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5721\", \"logical_representation\": [\"2018/12/28\", \"Nevaeh, Avery\", \"in the late afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Nevaeh, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery in the late afternoon on 2018/12/28?\", \"46 minutes\"], [\"who did I talk to on 2018/12/28?\", \"Nevaeh, Avery\"], [\"Did I talk to Nevaeh, Avery on 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I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2018/12/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2019/03/19\": {\"travel\": {\"eid\": \"e5724\", \"logical_representation\": [\"2019/03/19\", \"2019/03/27\", [\"Eva\", \"Olivia\"], \"Rio, Brazil\"], \"text_template_based\": \"On 2019/03/19 Eva, Olivia and I went to Rio, Brazil together for 8 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Rio, Brazil on 2019/03/19?\", \"Eva, Olivia\"], [\"who did I go with to Rio, Brazil?\", \"Eva, Olivia\"], [\"where did I go on 2019/03/19?\", \"Rio, Brazil\"], [\"when did I go to Rio, Brazil?\", \"2019/03/19\"], [\"when did I go to Rio, Brazil with Eva, Olivia ?\", \"2019/03/19\"], [\"How long did I stay in Rio, Brazil?\", \"8\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5948\", \"logical_representation\": [\"2019/03/19\", \"breakfast\", \"toast and cheese\", \"Piper, Lydia\"], \"text_template_based\": \"I had breakfast. 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I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/03/27?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2019/03/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2019/03/07\": {\"personal_medical_care\": {\"eid\": \"e5737\", \"logical_representation\": [\"2019/03/07\", \"I went for an annual physical checkup on 2019/03/07 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual physical checkup on 2019/03/07 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual physical checkup in 2019?\", \"2019/03/07\"], [\"where did I go for an annual physical checkup on 2019/03/07\", \"university hospital\"]], \"multihop_qa_pairs\": []}}, \"2019/10/13\": {\"personal_medical_care\": {\"eid\": \"e5738\", \"logical_representation\": [\"2019/10/13\", \"I went for an annual dental cleaning and checkup on 2019/10/13 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual dental cleaning and checkup on 2019/10/13 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual dental cleaning and checkup in 2019?\", \"2019/10/13\"], [\"where did I go for an annual dental cleaning and checkup on 2019/10/13\", \"university hospital\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6272\", \"logical_representation\": [\"2019/10/13\", \"Claire, Avery, Eva\", \"late in the evening\", \"7 minutes\"], \"text_template_based\": \"I talked to Claire, Avery, Eva for 7 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Eva late in the evening on 2019/10/13?\", \"7 minutes\"], [\"who did I talk to on 2019/10/13?\", \"Claire, Avery, Eva\"], [\"Did I talk to Claire, Avery, Eva on 2019/10/13?\", \"yes\"], [\"Did I talk to anyone on 2019/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6273\", \"logical_representation\": [\"2019/10/13\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/13?\", \"17 minutes\"], [\"what did I watch on tv on 2019/10/13?\", \"news\"], [\"Did I watch tv on 2019/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/02\": {\"parent_medical_care\": {\"eid\": \"e5740\", \"logical_representation\": [\"2019/12/02\", \"my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2019/12/02.\", \"hospital\"], \"text_template_based\": \"my parents for their and I went for an annual dental cleaning and checkup at the hospital on 2019/12/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2019?\", \"2019/12/02\"], [\"what did I do on 2019/12/02\", \"I took my parents for their for an  annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6362\", \"logical_representation\": [\"2019/12/02\", \"lunch\", \"fish and chips\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had lunch with Carter, Emily, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/12/02?\", \"Carter, Emily, Andrew\"], [\"what did I eat for lunch on 2019/12/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6363\", \"logical_representation\": [\"2019/12/02\", \"dinner\", \"a burger\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/12/02\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2019/12/25\": {\"child_medical_care\": {\"eid\": \"e5741\", \"logical_representation\": [\"2019/12/25\", \"Kayden for his/her  and I went for an annual physical checkup at the private clinic on 2019/12/25.\", \"private clinic\"], \"text_template_based\": \"Kayden for his/her  and I went for an annual physical checkup at the private clinic on 2019/12/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Kayden for his/her  for an annual physical checkup in 2019?\", \"2019/12/25\"], [\"what did I do on 2019/12/25\", \"I took Kayden for his/her  for an  annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6399\", \"logical_representation\": [\"2019/12/25\", \"a documentary\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/25?\", \"34 minutes\"], [\"what did I watch on tv on 2019/12/25?\", \"a documentary\"], [\"Did I watch tv on 2019/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/04\": {\"dating\": {\"eid\": \"e5742\", \"logical_representation\": [\"2019/01/04\", \"Josephine\", \"a park\"], \"text_template_based\": \"I went on a date with Josephine on 2019/01/04 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/01/04\", \"Josephine\"], [\"where did I go for the date on 2019/01/04\", \"a park\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e5743\", \"logical_representation\": [\"2019/01/04\", \"I really enjoyed learning a language on 2019/01/04\", \"learning a language\", \"Avery\"], \"text_template_based\": \"I really enjoyed learning a language on 2019/01/04\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2019/01/04\"], [\"On 2019/01/04, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5823\", \"logical_representation\": [\"2019/01/04\", \"Avery, Hazel, Rylee\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I talked to Avery, Hazel, Rylee for 46 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel, Rylee in the morning on 2019/01/04?\", \"46 minutes\"], [\"who did I talk to on 2019/01/04?\", \"Avery, Hazel, Rylee\"], [\"Did I talk to Avery, Hazel, Rylee on 2019/01/04?\", \"yes\"], [\"Did I talk to anyone on 2019/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/03\": {\"grocery\": {\"eid\": \"e5744\", \"logical_representation\": [\"2019/01/03\", \"I bought some clementines, peaches, mandarins, chocolate milk, mineral water, orange juice, soda, toothpaste from the grocery store. I saw Willow, Jackson, Avery at the grocery store.\", \"clementines, peaches, mandarins\", \"chocolate milk, mineral water, orange juice, soda\", \"toothpaste\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I bought some clementines, peaches, mandarins, chocolate milk, mineral water, orange juice, soda, toothpaste from the grocery store. I saw Willow, Jackson, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/01/03?\", \"clementines, peaches, mandarins, chocolate milk, mineral water, orange juice, soda, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2019/01/03?\", \"clementines, peaches, mandarins\"], [\"what drinks did I buy from the grocery store on 2019/01/03?\", \"chocolate milk, mineral water, orange juice, soda\"], [\"what toiletries did I buy from the grocery store on 2019/01/03?\", \"toothpaste\"], [\"who did I see at the grocery store on 2019/01/03?\", \"Willow, Jackson, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5822\", \"logical_representation\": [\"2019/01/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/01/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2019/01/14\": {\"grocery\": {\"eid\": \"e5745\", \"logical_representation\": [\"2019/01/14\", \"I bought some nectarines, sports drinks, guava juice, facial wash, body lotion, conditioner online.\", \"nectarines\", \"sports drinks, guava juice\", \"facial wash, body lotion, conditioner\", \"Hazel, Kinsley, Olivia, Avery, Nevaeh, Eva, Claire, Lydia, Rylee, Layla, Nora, Piper, Piper\"], \"text_template_based\": \"I bought some nectarines, sports drinks, guava juice, facial wash, body lotion, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/01/14?\", \"nectarines, sports drinks, guava juice, and facial wash, body lotion, conditioner\"], [\"what fruits did I buy online on 2019/01/14?\", \"nectarines\"], [\"what drinks did I buy online on 2019/01/14?\", \"sports drinks, guava juice\"], [\"what toiletries did I buy online on 2019/01/14?\", \"facial wash, body lotion, conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5840\", \"logical_representation\": [\"2019/01/14\", \"breakfast\", \"peanut-butter-jam\", \"Rylee, Hazel, Piper, Layla, Piper, Nevaeh\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/01/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5841\", \"logical_representation\": [\"2019/01/14\", \"dinner\", \"chinese food\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/01/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5842\", \"logical_representation\": [\"2019/01/14\", \"Avery\", \"in the early evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Avery for 51 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2019/01/14?\", \"51 minutes\"], [\"who did I talk to on 2019/01/14?\", \"Avery\"], [\"Did I talk to Avery on 2019/01/14?\", \"yes\"], [\"Did I talk to anyone on 2019/01/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/20\": {\"bake\": {\"eid\": \"e5746\", \"logical_representation\": [\"2019/01/20\", \"I was baking chocolate skillet cake on 2019/01/20 with Emily, Andrew, Carter at my place\", \"bake\", \"chocolate skillet cake\", \"Emily, Andrew, Carter\", \"my place\"], \"text_template_based\": \"I was baking chocolate skillet cake on 2019/01/20 with Emily, Andrew, Carter at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  chocolate skillet cake with Emily, Andrew, Carter?\", \"2019/01/20\"], [\"what did I  on 2019/01/20?\", \"chocolate skillet cake\"], [\"who was I with when I  chocolate skillet cake on 2019/01/20?\", \"Emily, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5852\", \"logical_representation\": [\"2019/01/20\", \"lunch\", \"a burger\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/01/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5853\", \"logical_representation\": [\"2019/01/20\", \"Hazel, Eva\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Hazel, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Eva during lunch hours on 2019/01/20?\", \"46 minutes\"], [\"who did I talk to on 2019/01/20?\", \"Hazel, Eva\"], [\"Did I talk to Hazel, Eva on 2019/01/20?\", \"yes\"], [\"Did I talk to anyone on 2019/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5854\", \"logical_representation\": [\"2019/01/20\", \"a movie\", \"45 minutes\"], \"text_template_based\": \"I watched a movie for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/20?\", \"45 minutes\"], [\"what did I watch on tv on 2019/01/20?\", \"a movie\"], [\"Did I watch tv on 2019/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/21\": {\"grocery\": {\"eid\": \"e5747\", \"logical_representation\": [\"2019/01/21\", \"I bought some clementines, watermelons, bananas, guava juice, orange juice, pineapple juice, mango juice, facial wash, toothbrush from the grocery store. I saw Kayden at the grocery store.\", \"clementines, watermelons, bananas\", \"guava juice, orange juice, pineapple juice, mango juice\", \"facial wash, toothbrush\", \"Kayden\"], \"text_template_based\": \"I bought some clementines, watermelons, bananas, guava juice, orange juice, pineapple juice, mango juice, facial wash, toothbrush from the grocery store. I saw Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/01/21?\", \"clementines, watermelons, bananas, guava juice, orange juice, pineapple juice, mango juice, and facial wash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2019/01/21?\", \"clementines, watermelons, bananas\"], [\"what drinks did I buy from the grocery store on 2019/01/21?\", \"guava juice, orange juice, pineapple juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2019/01/21?\", \"facial wash, toothbrush\"], [\"who did I see at the grocery store on 2019/01/21?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5855\", \"logical_representation\": [\"2019/01/21\", \"dinner\", \"sushi\", \"Eva, Hazel, Piper, Avery, Nora, Nevaeh, Claire, Piper\"], \"text_template_based\": \"I had sushi for dinner with Eva, Hazel, Piper, Avery, Nora, Nevaeh, Claire, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/01/21?\", \"Eva, Hazel, Piper, Avery, Nora, Nevaeh, Claire, Piper\"], [\"what did I eat for dinner on 2019/01/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5856\", \"logical_representation\": [\"2019/01/21\", \"Avery\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I talked to Avery for 49 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early afternoon on 2019/01/21?\", \"49 minutes\"], [\"who did I talk to on 2019/01/21?\", \"Avery\"], [\"Did I talk to Avery on 2019/01/21?\", \"yes\"], [\"Did I talk to anyone on 2019/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5857\", \"logical_representation\": [\"2019/01/21\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/01/21?\", \"35 minutes\"], [\"what did I read on 2019/01/21?\", \"news\"], [\"Did I read on 2019/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/11\": {\"cook\": {\"eid\": \"e5748\", \"logical_representation\": [\"2019/02/11\", \"I was cooking indian red lentil, air-fryer brats on 2019/02/11 with Emily, Carter, Andrew at my place\", \"cook\", \"indian red lentil, air-fryer brats\", \"Emily, Carter, Andrew\", \"my place\"], \"text_template_based\": \"I was cooking indian red lentil, air-fryer brats on 2019/02/11 with Emily, Carter, Andrew at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  indian red lentil, air-fryer brats with Emily, Carter, Andrew?\", \"2019/02/11\"], [\"what did I  on 2019/02/11?\", \"indian red lentil, air-fryer brats\"], [\"who was I with when I  indian red lentil, air-fryer brats on 2019/02/11?\", \"Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}}, \"2019/02/10\": {\"dating\": {\"eid\": \"e5749\", \"logical_representation\": [\"2019/02/10\", \"Cora\", \"a coffee Shop\"], \"text_template_based\": \"On 2019/02/10, I took Cora on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/02/10\", \"Cora\"], [\"where did I go for the date on 2019/02/10\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5889\", \"logical_representation\": [\"2019/02/10\", \"biking\"], \"text_template_based\": \"I did biking on 2019/02/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/10?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5890\", \"logical_representation\": [\"2019/02/10\", \"breakfast\", \"toast and cheese\", \"Willow, Avery\"], \"text_template_based\": \"I had toast and cheese for breakfast with Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/02/10?\", \"Willow, Avery\"], [\"what did I eat for breakfast on 2019/02/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5891\", \"logical_representation\": [\"2019/02/10\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/10?\", \"51 minutes\"], [\"what did I watch on tv on 2019/02/10?\", \"news\"], [\"Did I watch tv on 2019/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/07\": {\"hobbies\": {\"eid\": \"e5750\", \"logical_representation\": [\"2019/02/07\", \"I really enjoyed yoga on 2019/02/07\", \"yoga\", \"Andrew\"], \"text_template_based\": \"I really enjoyed yoga on 2019/02/07\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2019/02/07\"], [\"On 2019/02/07, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5886\", \"logical_representation\": [\"2019/02/07\", \"breakfast\", \"pancakes\", \"Piper, Claire, Nora, Nevaeh, Hazel, Layla, Piper, Eva, Olivia, Kinsley, Rylee, Avery\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/02/07\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/08\": {\"grocery\": {\"eid\": \"e5751\", \"logical_representation\": [\"2019/02/08\", \"I went grocery shopping with Kayden, Andrew, Carter. I bought some blackberries, coffee, and mouthwash, toilet paper\", \"blackberries\", \"coffee\", \"mouthwash, toilet paper\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping with Kayden, Andrew, Carter. I bought some blackberries, coffee, and mouthwash, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/02/08?\", \"blackberries, coffee, and mouthwash, toilet paper\"], [\"what fruits did I buy from the grocery store on 2019/02/08?\", \"blackberries\"], [\"what drinks did I buy from the grocery store on 2019/02/08?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2019/02/08?\", \"mouthwash, toilet paper\"], [\"who was with me at the grocery store on 2019/02/08?\", \"Kayden, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5887\", \"logical_representation\": [\"2019/02/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/02/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2019/02/15\": {\"dating\": {\"eid\": \"e5752\", \"logical_representation\": [\"2019/02/15\", \"Ivy\", \"a coffee Shop\"], \"text_template_based\": \"On 2019/02/15, I took Ivy on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/02/15\", \"Ivy\"], [\"where did I go for the date on 2019/02/15\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e5753\", \"logical_representation\": [\"2019/02/15\", \"I went grocery shopping. I bought some mandarins, pears, guava, raspberries, tea, and paper towel, shampoo, toothpaste, mouth wash\", \"mandarins, pears, guava, raspberries\", \"tea\", \"paper towel, shampoo, toothpaste, mouth wash\", \"Layla, Kinsley, Olivia, Piper, Piper, Nevaeh, Claire, Rylee, Eva, Lydia, Hazel, Avery\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, pears, guava, raspberries, tea, and paper towel, shampoo, toothpaste, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/02/15?\", \"mandarins, pears, guava, raspberries, tea, and paper towel, shampoo, toothpaste, mouth wash\"], [\"what fruits did I buy from the grocery store on 2019/02/15?\", \"mandarins, pears, guava, raspberries\"], [\"what drinks did I buy from the grocery store on 2019/02/15?\", \"tea\"], [\"what toiletries did I buy from the grocery store on 2019/02/15?\", \"paper towel, shampoo, toothpaste, mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5901\", \"logical_representation\": [\"2019/02/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora, Nevaeh, Eva, Avery, Kinsley, Piper, Lydia, Olivia, Hazel, Rylee, Piper, Layla, Claire\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/02/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5902\", \"logical_representation\": [\"2019/02/15\", \"a movie\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/15?\", \"52 minutes\"], [\"what did I watch on tv on 2019/02/15?\", \"a movie\"], [\"Did I watch tv on 2019/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/25\": {\"dating\": {\"eid\": \"e5754\", \"logical_representation\": [\"2019/02/25\", \"Jaxson\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Jaxson on 2019/02/25 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/02/25\", \"Jaxson\"], [\"where did I go for the date on 2019/02/25\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"hobbies\": {\"eid\": \"e5755\", \"logical_representation\": [\"2019/02/25\", \"I spent some time learning a language on 2019/02/25.\", \"learning a language\", \"Claire, Nevaeh\"], \"text_template_based\": \"I spent some time learning a language on 2019/02/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2019/02/25\"], [\"On 2019/02/25, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5914\", \"logical_representation\": [\"2019/02/25\", \"lunch\", \"sushi\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/02/25?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2019/02/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5915\", \"logical_representation\": [\"2019/02/25\", \"dinner\", \"sandwich\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/02/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5916\", \"logical_representation\": [\"2019/02/25\", \"a documentary\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/25?\", \"49 minutes\"], [\"what did I watch on tv on 2019/02/25?\", \"a documentary\"], [\"Did I watch tv on 2019/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/19\": {\"grocery\": {\"eid\": \"e5756\", \"logical_representation\": [\"2019/02/19\", \"I went grocery shopping with Avery, Jackson, Benjamin, Willow. I bought some strawberries, soda, apple juice, and facial wash, shaving cream, shampoo, toilet paper\", \"strawberries\", \"soda, apple juice\", \"facial wash, shaving cream, shampoo, toilet paper\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I went grocery shopping with Avery, Jackson, Benjamin, Willow. I bought some strawberries, soda, apple juice, and facial wash, shaving cream, shampoo, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/02/19?\", \"strawberries, soda, apple juice, and facial wash, shaving cream, shampoo, toilet paper\"], [\"what fruits did I buy from the grocery store on 2019/02/19?\", \"strawberries\"], [\"what drinks did I buy from the grocery store on 2019/02/19?\", \"soda, apple juice\"], [\"what toiletries did I buy from the grocery store on 2019/02/19?\", \"facial wash, shaving cream, shampoo, toilet paper\"], [\"who was with me at the grocery store on 2019/02/19?\", \"Avery, Jackson, Benjamin, Willow\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5908\", \"logical_representation\": [\"2019/02/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/02/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2019/02/23\": {\"grocery\": {\"eid\": \"e5757\", \"logical_representation\": [\"2019/02/23\", \"I bought some raspberries, pineapples, guava juice, mouth wash from the grocery store. I saw Kayden at the grocery store.\", \"raspberries, pineapples\", \"guava juice\", \"mouth wash\", \"Kayden\"], \"text_template_based\": \"I bought some raspberries, pineapples, guava juice, mouth wash from the grocery store. I saw Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/02/23?\", \"raspberries, pineapples, guava juice, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2019/02/23?\", \"raspberries, pineapples\"], [\"what drinks did I buy from the grocery store on 2019/02/23?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2019/02/23?\", \"mouth wash\"], [\"who did I see at the grocery store on 2019/02/23?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5912\", \"logical_representation\": [\"2019/02/23\", \"lunch\", \"steak\", \"Rylee, Layla\"], \"text_template_based\": \"I had steak for lunch with Rylee, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/02/23?\", \"Rylee, Layla\"], [\"what did I eat for lunch on 2019/02/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5913\", \"logical_representation\": [\"2019/02/23\", \"Rylee\", \"during lunch hours\", \"38 minutes\"], \"text_template_based\": \"I talked to Rylee for 38 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2019/02/23?\", \"38 minutes\"], [\"who did I talk to on 2019/02/23?\", \"Rylee\"], [\"Did I talk to Rylee on 2019/02/23?\", \"yes\"], [\"Did I talk to anyone on 2019/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/08\": {\"grocery\": {\"eid\": \"e5758\", \"logical_representation\": [\"2019/03/08\", \"I went grocery shopping with Piper, Nora. I bought some bananas, guava, tea, sports drinks, guava juice, and toilet paper, mouthwash, paper towel, body lotion\", \"bananas, guava\", \"tea, sports drinks, guava juice\", \"toilet paper, mouthwash, paper towel, body lotion\", \"Piper, Nora\"], \"text_template_based\": \"I went grocery shopping with Piper, Nora. I bought some bananas, guava, tea, sports drinks, guava juice, and toilet paper, mouthwash, paper towel, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/03/08?\", \"bananas, guava, tea, sports drinks, guava juice, and toilet paper, mouthwash, paper towel, body lotion\"], [\"what fruits did I buy from the grocery store on 2019/03/08?\", \"bananas, guava\"], [\"what drinks did I buy from the grocery store on 2019/03/08?\", \"tea, sports drinks, guava juice\"], [\"what toiletries did I buy from the grocery store on 2019/03/08?\", \"toilet paper, mouthwash, paper towel, body lotion\"], [\"who was with me at the grocery store on 2019/03/08?\", \"Piper, Nora\"]], \"multihop_qa_pairs\": []}}, \"2019/03/18\": {\"dating\": {\"eid\": \"e5759\", \"logical_representation\": [\"2019/03/18\", \"Athena\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Athena on 2019/03/18 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/03/18\", \"Athena\"], [\"where did I go for the date on 2019/03/18\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5947\", \"logical_representation\": [\"2019/03/18\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/03/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/18?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2019/03/13\": {\"grocery\": {\"eid\": \"e5760\", \"logical_representation\": [\"2019/03/13\", \"I bought some peaches, apricots, pineapple juice, orange juice, coffee, mineral water, toilet paper online.\", \"peaches, apricots\", \"pineapple juice, orange juice, coffee, mineral water\", \"toilet paper\", \"Avery, Willow\"], \"text_template_based\": \"I bought some peaches, apricots, pineapple juice, orange juice, coffee, mineral water, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/03/13?\", \"peaches, apricots, pineapple juice, orange juice, coffee, mineral water, and toilet paper\"], [\"what fruits did I buy online on 2019/03/13?\", \"peaches, apricots\"], [\"what drinks did I buy online on 2019/03/13?\", \"pineapple juice, orange juice, coffee, mineral water\"], [\"what toiletries did I buy online on 2019/03/13?\", \"toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5942\", \"logical_representation\": [\"2019/03/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/03/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5943\", \"logical_representation\": [\"2019/03/13\", \"lunch\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/03/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2019/03/30\": {\"bake\": {\"eid\": \"e5761\", \"logical_representation\": [\"2019/03/30\", \"I really enjoyed baking blackberry-raspberry skillet cobbler, cheater\\u2019s mini rhubarb galettes, chocolate skillet cake on 2019/03/30 with Carter, Kayden at my place\", \"bake\", \"blackberry-raspberry skillet cobbler, cheater\\u2019s mini rhubarb galettes, chocolate skillet cake\", \"Carter, Kayden\", \"my place\"], \"text_template_based\": \"I really enjoyed baking blackberry-raspberry skillet cobbler, cheater\\u2019s mini rhubarb galettes, chocolate skillet cake on 2019/03/30 with Carter, Kayden at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  blackberry-raspberry skillet cobbler, cheater\\u2019s mini rhubarb galettes, chocolate skillet cake with Carter, Kayden?\", \"2019/03/30\"], [\"what did I  on 2019/03/30?\", \"blackberry-raspberry skillet cobbler, cheater\\u2019s mini rhubarb galettes, chocolate skillet cake\"], [\"who was I with when I  blackberry-raspberry skillet cobbler, cheater\\u2019s mini rhubarb galettes, chocolate skillet cake on 2019/03/30?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5964\", \"logical_representation\": [\"2019/03/30\", \"Kinsley, Layla, Piper\", \"during lunch hours\", \"23 minutes\"], \"text_template_based\": \"I talked to Kinsley, Layla, Piper for 23 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Piper during lunch hours on 2019/03/30?\", \"23 minutes\"], [\"who did I talk to on 2019/03/30?\", \"Kinsley, Layla, Piper\"], [\"Did I talk to Kinsley, Layla, Piper on 2019/03/30?\", \"yes\"], [\"Did I talk to anyone on 2019/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/29\": {\"grocery\": {\"eid\": \"e5762\", \"logical_representation\": [\"2019/03/29\", \"I bought some bananas, mineral water, mango juice, pineapple juice, mouth wash online.\", \"bananas\", \"mineral water, mango juice, pineapple juice\", \"mouth wash\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I bought some bananas, mineral water, mango juice, pineapple juice, mouth wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/03/29?\", \"bananas, mineral water, mango juice, pineapple juice, and mouth wash\"], [\"what fruits did I buy online on 2019/03/29?\", \"bananas\"], [\"what drinks did I buy online on 2019/03/29?\", \"mineral water, mango juice, pineapple juice\"], [\"what toiletries did I buy online on 2019/03/29?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5963\", \"logical_representation\": [\"2019/03/29\", \"Hazel, Rylee, Olivia, Eva\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Hazel, Rylee, Olivia, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee, Olivia, Eva late in the evening on 2019/03/29?\", \"39 minutes\"], [\"who did I talk to on 2019/03/29?\", \"Hazel, Rylee, Olivia, Eva\"], [\"Did I talk to Hazel, Rylee, Olivia, Eva on 2019/03/29?\", \"yes\"], [\"Did I talk to anyone on 2019/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/15\": {\"bake\": {\"eid\": \"e5763\", \"logical_representation\": [\"2019/04/15\", \"I was baking fig tarte tatin on 2019/04/15 with Benjamin, Jackson, Avery, Willow at my place\", \"bake\", \"fig tarte tatin\", \"Benjamin, Jackson, Avery, Willow\", \"my place\"], \"text_template_based\": \"I was baking fig tarte tatin on 2019/04/15 with Benjamin, Jackson, Avery, Willow at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  fig tarte tatin with Benjamin, Jackson, Avery, Willow?\", \"2019/04/15\"], [\"what did I  on 2019/04/15?\", \"fig tarte tatin\"], [\"who was I with when I  fig tarte tatin on 2019/04/15?\", \"Benjamin, Jackson, Avery, Willow\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5986\", \"logical_representation\": [\"2019/04/15\", \"breakfast\", \"pancakes\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/04/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5987\", \"logical_representation\": [\"2019/04/15\", \"dinner\", \"indian food\", \"Nevaeh, Nora, Eva, Lydia, Rylee\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/04/15\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/04/19\": {\"grocery\": {\"eid\": \"e5764\", \"logical_representation\": [\"2019/04/19\", \"I bought some bananas, cherres, mangos, pears, chocolate milk, apple juice, guava juice, mouth wash, facial wash from the grocery store. I saw Kayden at the grocery store.\", \"bananas, cherres, mangos, pears\", \"chocolate milk, apple juice, guava juice\", \"mouth wash, facial wash\", \"Kayden\"], \"text_template_based\": \"I bought some bananas, cherres, mangos, pears, chocolate milk, apple juice, guava juice, mouth wash, facial wash from the grocery store. I saw Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/04/19?\", \"bananas, cherres, mangos, pears, chocolate milk, apple juice, guava juice, and mouth wash, facial wash\"], [\"what fruits did I buy from the grocery store on 2019/04/19?\", \"bananas, cherres, mangos, pears\"], [\"what drinks did I buy from the grocery store on 2019/04/19?\", \"chocolate milk, apple juice, guava juice\"], [\"what toiletries did I buy from the grocery store on 2019/04/19?\", \"mouth wash, facial wash\"], [\"who did I see at the grocery store on 2019/04/19?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e5991\", \"logical_representation\": [\"2019/04/19\", \"biking\"], \"text_template_based\": \"I did biking on 2019/04/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5992\", \"logical_representation\": [\"2019/04/19\", \"Kinsley\", \"in the early afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Kinsley for 35 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2019/04/19?\", \"35 minutes\"], [\"who did I talk to on 2019/04/19?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2019/04/19?\", \"yes\"], [\"Did I talk to anyone on 2019/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5993\", \"logical_representation\": [\"2019/04/19\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I watched a movie for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/19?\", \"29 minutes\"], [\"what did I watch on tv on 2019/04/19?\", \"a movie\"], [\"Did I watch tv on 2019/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/02\": {\"dating\": {\"eid\": \"e5765\", \"logical_representation\": [\"2019/05/02\", \"Isla\", \"a boba shop\"], \"text_template_based\": \"On 2019/05/02, I took Isla on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/05/02\", \"Isla\"], [\"where did I go for the date on 2019/05/02\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6019\", \"logical_representation\": [\"2019/05/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6020\", \"logical_representation\": [\"2019/05/02\", \"Rylee, Hazel, Avery\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Rylee, Hazel, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel, Avery in the morning on 2019/05/02?\", \"55 minutes\"], [\"who did I talk to on 2019/05/02?\", \"Rylee, Hazel, Avery\"], [\"Did I talk to Rylee, Hazel, Avery on 2019/05/02?\", \"yes\"], [\"Did I talk to anyone on 2019/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/05\": {\"grocery\": {\"eid\": \"e5766\", \"logical_representation\": [\"2019/05/05\", \"I bought some pears, apricots, nectarines, raspberries, mango juice, toilet paper, shampoo, conditioner, facial wash online.\", \"pears, apricots, nectarines, raspberries\", \"mango juice\", \"toilet paper, shampoo, conditioner, facial wash\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I bought some pears, apricots, nectarines, raspberries, mango juice, toilet paper, shampoo, conditioner, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/05/05?\", \"pears, apricots, nectarines, raspberries, mango juice, and toilet paper, shampoo, conditioner, facial wash\"], [\"what fruits did I buy online on 2019/05/05?\", \"pears, apricots, nectarines, raspberries\"], [\"what drinks did I buy online on 2019/05/05?\", \"mango juice\"], [\"what toiletries did I buy online on 2019/05/05?\", \"toilet paper, shampoo, conditioner, facial wash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6024\", \"logical_representation\": [\"2019/05/05\", \"Olivia, Layla, Claire, Kinsley\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Olivia, Layla, Claire, Kinsley for 52 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Claire, Kinsley in the late afternoon on 2019/05/05?\", \"52 minutes\"], [\"who did I talk to on 2019/05/05?\", \"Olivia, Layla, Claire, Kinsley\"], [\"Did I talk to Olivia, Layla, Claire, Kinsley on 2019/05/05?\", \"yes\"], [\"Did I talk to anyone on 2019/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/07\": {\"dating\": {\"eid\": \"e5767\", \"logical_representation\": [\"2019/05/07\", \"Theodore\", \"a park\"], \"text_template_based\": \"I went on a date with Theodore on 2019/05/07 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/05/07\", \"Theodore\"], [\"where did I go for the date on 2019/05/07\", \"a park\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6027\", \"logical_representation\": [\"2019/05/07\", \"dinner\", \"sandwich\", \"Eva, Claire, Lydia, Rylee, Nevaeh, Hazel, Nora, Piper, Layla, Olivia, Avery, Piper, Kinsley\"], \"text_template_based\": \"I had dinner with Eva, Claire, Lydia, Rylee, Nevaeh, Hazel, Nora, Piper, Layla, Olivia, Avery, Piper, Kinsley. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/07?\", \"Eva, Claire, Lydia, Rylee, Nevaeh, Hazel, Nora, Piper, Layla, Olivia, Avery, Piper, Kinsley\"], [\"what did I eat for dinner on 2019/05/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2019/05/10\": {\"dating\": {\"eid\": \"e5768\", \"logical_representation\": [\"2019/05/10\", \"Valentina\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Valentina on 2019/05/10 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/05/10\", \"Valentina\"], [\"where did I go for the date on 2019/05/10\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e5769\", \"logical_representation\": [\"2019/05/10\", \"I bought some nectarines, mango juice, apple juice, tea, toothpaste, body lotion from the grocery store. I saw Lydia, Piper, Olivia at the grocery store.\", \"nectarines\", \"mango juice, apple juice, tea\", \"toothpaste, body lotion\", \"Lydia, Piper, Olivia\"], \"text_template_based\": \"I bought some nectarines, mango juice, apple juice, tea, toothpaste, body lotion from the grocery store. I saw Lydia, Piper, Olivia at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/05/10?\", \"nectarines, mango juice, apple juice, tea, and toothpaste, body lotion\"], [\"what fruits did I buy from the grocery store on 2019/05/10?\", \"nectarines\"], [\"what drinks did I buy from the grocery store on 2019/05/10?\", \"mango juice, apple juice, tea\"], [\"what toiletries did I buy from the grocery store on 2019/05/10?\", \"toothpaste, body lotion\"], [\"who did I see at the grocery store on 2019/05/10?\", \"Lydia, Piper, Olivia\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6031\", \"logical_representation\": [\"2019/05/10\", \"running\"], \"text_template_based\": \"I did running on 2019/05/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/10?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6032\", \"logical_representation\": [\"2019/05/10\", \"dinner\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/10?\", \"Emily\"], [\"what did I eat for dinner on 2019/05/10\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/05/20\": {\"hobbies\": {\"eid\": \"e5770\", \"logical_representation\": [\"2019/05/20\", \"I spent time meditation on 2019/05/20 with Kayden, Emily, Carter.\", \"meditation\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I spent time meditation on 2019/05/20 with Kayden, Emily, Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Kayden, Emily, Carter?\", \"2019/05/20\"], [\"On 2019/05/20, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2019/05/20?\", \"Kayden, Emily, Carter\"]], \"multihop_qa_pairs\": []}}, \"2019/05/25\": {\"dating\": {\"eid\": \"e5771\", \"logical_representation\": [\"2019/05/25\", \"Lily\", \"a park\"], \"text_template_based\": \"I went on a date with Lily on 2019/05/25 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/05/25\", \"Lily\"], [\"where did I go for the date on 2019/05/25\", \"a park\"]], \"multihop_qa_pairs\": []}}, \"2019/05/30\": {\"grocery\": {\"eid\": \"e5772\", \"logical_representation\": [\"2019/05/30\", \"I bought some apples, guava, tea, coffee, pineapple juice, toothpaste, paper towel, shampoo online.\", \"apples, guava\", \"tea, coffee, pineapple juice\", \"toothpaste, paper towel, shampoo\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I bought some apples, guava, tea, coffee, pineapple juice, toothpaste, paper towel, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/05/30?\", \"apples, guava, tea, coffee, pineapple juice, and toothpaste, paper towel, shampoo\"], [\"what fruits did I buy online on 2019/05/30?\", \"apples, guava\"], [\"what drinks did I buy online on 2019/05/30?\", \"tea, coffee, pineapple juice\"], [\"what toiletries did I buy online on 2019/05/30?\", \"toothpaste, paper towel, shampoo\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6062\", \"logical_representation\": [\"2019/05/30\", \"Olivia, Hazel\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I talked to Olivia, Hazel for 6 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel during lunch hours on 2019/05/30?\", \"6 minutes\"], [\"who did I talk to on 2019/05/30?\", \"Olivia, Hazel\"], [\"Did I talk to Olivia, Hazel on 2019/05/30?\", \"yes\"], [\"Did I talk to anyone on 2019/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/01\": {\"grocery\": {\"eid\": \"e5773\", \"logical_representation\": [\"2019/06/01\", \"I bought some peaches, apples, watermelons, mineral water, orange juice, mango juice, shampoo, mouthwash online.\", \"peaches, apples, watermelons\", \"mineral water, orange juice, mango juice\", \"shampoo, mouthwash\", \"Willow\"], \"text_template_based\": \"I bought some peaches, apples, watermelons, mineral water, orange juice, mango juice, shampoo, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/06/01?\", \"peaches, apples, watermelons, mineral water, orange juice, mango juice, and shampoo, mouthwash\"], [\"what fruits did I buy online on 2019/06/01?\", \"peaches, apples, watermelons\"], [\"what drinks did I buy online on 2019/06/01?\", \"mineral water, orange juice, mango juice\"], [\"what toiletries did I buy online on 2019/06/01?\", \"shampoo, mouthwash\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6064\", \"logical_representation\": [\"2019/06/01\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/06/01?\", \"26 minutes\"], [\"what did I read on 2019/06/01?\", \"a book\"], [\"Did I read on 2019/06/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/17\": {\"cook\": {\"eid\": \"e5774\", \"logical_representation\": [\"2019/06/17\", \"I entertained Piper at my place on 2019/06/17 and cook asian slaw\", \"cook\", \"asian slaw\", \"Piper\", \"my place\"], \"text_template_based\": \"I entertained Piper at my place on 2019/06/17 and cook asian slaw\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook asian slaw with Piper?\", \"2019/06/17\"], [\"what did I cook on 2019/06/17?\", \"asian slaw\"], [\"who was I with when I  asian slaw on 2019/06/17?\", \"Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6093\", \"logical_representation\": [\"2019/06/17\", \"biking\"], \"text_template_based\": \"I did biking on 2019/06/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6094\", \"logical_representation\": [\"2019/06/17\", \"Olivia, Kinsley\", \"in the early evening\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Olivia, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Kinsley in the early evening on 2019/06/17?\", \"46 minutes\"], [\"who did I talk to on 2019/06/17?\", \"Olivia, Kinsley\"], [\"Did I talk to Olivia, Kinsley on 2019/06/17?\", \"yes\"], [\"Did I talk to anyone on 2019/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/20\": {\"dating\": {\"eid\": \"e5775\", \"logical_representation\": [\"2019/06/20\", \"Ethan\", \"a coffee Shop\"], \"text_template_based\": \"On 2019/06/20, I took Ethan on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/06/20\", \"Ethan\"], [\"where did I go for the date on 2019/06/20\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6096\", \"logical_representation\": [\"2019/06/20\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/06/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/20?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2019/06/21\": {\"dating\": {\"eid\": \"e5776\", \"logical_representation\": [\"2019/06/21\", \"Eva\", \"a boba shop\"], \"text_template_based\": \"On 2019/06/21, I took Eva on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/06/21\", \"Eva\"], [\"where did I go for the date on 2019/06/21\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6097\", \"logical_representation\": [\"2019/06/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/06/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6098\", \"logical_representation\": [\"2019/06/21\", \"lunch\", \"indian food\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had indian food for lunch with Emily, Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/06/21?\", \"Emily, Andrew, Carter, Kayden\"], [\"what did I eat for lunch on 2019/06/21\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6099\", \"logical_representation\": [\"2019/06/21\", \"Lydia, Eva\", \"in the morning\", \"24 minutes\"], \"text_template_based\": \"I talked to Lydia, Eva for 24 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva in the morning on 2019/06/21?\", \"24 minutes\"], [\"who did I talk to on 2019/06/21?\", \"Lydia, Eva\"], [\"Did I talk to Lydia, Eva on 2019/06/21?\", \"yes\"], [\"Did I talk to anyone on 2019/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/29\": {\"cook\": {\"eid\": \"e5777\", \"logical_representation\": [\"2019/06/29\", \"I really enjoyed cooking chinese chicken wings, thai noodle salad, split pea soup with ham & jalapeno on 2019/06/29 with Kayden, Carter at my place\", \"cook\", \"chinese chicken wings, thai noodle salad, split pea soup with ham & jalapeno\", \"Kayden, Carter\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking chinese chicken wings, thai noodle salad, split pea soup with ham & jalapeno on 2019/06/29 with Kayden, Carter at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  chinese chicken wings, thai noodle salad, split pea soup with ham & jalapeno with Kayden, Carter?\", \"2019/06/29\"], [\"what did I  on 2019/06/29?\", \"chinese chicken wings, thai noodle salad, split pea soup with ham & jalapeno\"], [\"who was I with when I  chinese chicken wings, thai noodle salad, split pea soup with ham & jalapeno on 2019/06/29?\", \"Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6107\", \"logical_representation\": [\"2019/06/29\", \"Claire\", \"in the early evening\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2019/06/29?\", \"54 minutes\"], [\"who did I talk to on 2019/06/29?\", \"Claire\"], [\"Did I talk to Claire on 2019/06/29?\", \"yes\"], [\"Did I talk to anyone on 2019/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/26\": {\"hobbies\": {\"eid\": \"e5778\", \"logical_representation\": [\"2019/06/26\", \"I really enjoyed working out on 2019/06/26\", \"working out\", \"Lydia\"], \"text_template_based\": \"I really enjoyed working out on 2019/06/26\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2019/06/26\"], [\"On 2019/06/26, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6104\", \"logical_representation\": [\"2019/06/26\", \"Claire, Hazel, Olivia\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I talked to Claire, Hazel, Olivia for 33 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Olivia in the early evening on 2019/06/26?\", \"33 minutes\"], [\"who did I talk to on 2019/06/26?\", \"Claire, Hazel, Olivia\"], [\"Did I talk to Claire, Hazel, Olivia on 2019/06/26?\", \"yes\"], [\"Did I talk to anyone on 2019/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/08\": {\"grocery\": {\"eid\": \"e5779\", \"logical_representation\": [\"2019/07/08\", \"I bought some mangos, pineapples, oranges, watermelons, guava juice, mouthwash, shampoo, mouth wash from the grocery store. I saw Emily, Carter, Kayden, Andrew at the grocery store.\", \"mangos, pineapples, oranges, watermelons\", \"guava juice\", \"mouthwash, shampoo, mouth wash\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I bought some mangos, pineapples, oranges, watermelons, guava juice, mouthwash, shampoo, mouth wash from the grocery store. I saw Emily, Carter, Kayden, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/07/08?\", \"mangos, pineapples, oranges, watermelons, guava juice, and mouthwash, shampoo, mouth wash\"], [\"what fruits did I buy from the grocery store on 2019/07/08?\", \"mangos, pineapples, oranges, watermelons\"], [\"what drinks did I buy from the grocery store on 2019/07/08?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2019/07/08?\", \"mouthwash, shampoo, mouth wash\"], [\"who did I see at the grocery store on 2019/07/08?\", \"Emily, Carter, Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6117\", \"logical_representation\": [\"2019/07/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/07/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6118\", \"logical_representation\": [\"2019/07/08\", \"lunch\", \"sushi\", \"Andrew, Carter\"], \"text_template_based\": \"I had sushi for lunch with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/07/08?\", \"Andrew, Carter\"], [\"what did I eat for lunch on 2019/07/08\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2019/07/09\": {\"dating\": {\"eid\": \"e5780\", \"logical_representation\": [\"2019/07/09\", \"Oliver\", \"a park\"], \"text_template_based\": \"On 2019/07/09, I took Oliver on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/07/09\", \"Oliver\"], [\"where did I go for the date on 2019/07/09\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6119\", \"logical_representation\": [\"2019/07/09\", \"breakfast\", \"toast and cheese\", \"Emily, Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/07/09\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2019/07/22\": {\"dating\": {\"eid\": \"e5781\", \"logical_representation\": [\"2019/07/22\", \"Elizabeth\", \"a park\"], \"text_template_based\": \"I went on a date with Elizabeth on 2019/07/22 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/07/22\", \"Elizabeth\"], [\"where did I go for the date on 2019/07/22\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6143\", \"logical_representation\": [\"2019/07/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/07/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6144\", \"logical_representation\": [\"2019/07/22\", \"lunch\", \"steak\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6145\", \"logical_representation\": [\"2019/07/22\", \"dinner\", \"pasta\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/22\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2019/07/18\": {\"grocery\": {\"eid\": \"e5782\", \"logical_representation\": [\"2019/07/18\", \"I bought some peaches, blackberries, orange juice, guava juice, pineapple juice, milk, paper towel, facial wash, mouthwash from the grocery store. I saw Jackson at the grocery store.\", \"peaches, blackberries\", \"orange juice, guava juice, pineapple juice, milk\", \"paper towel, facial wash, mouthwash\", \"Jackson\"], \"text_template_based\": \"I bought some peaches, blackberries, orange juice, guava juice, pineapple juice, milk, paper towel, facial wash, mouthwash from the grocery store. I saw Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/07/18?\", \"peaches, blackberries, orange juice, guava juice, pineapple juice, milk, and paper towel, facial wash, mouthwash\"], [\"what fruits did I buy from the grocery store on 2019/07/18?\", \"peaches, blackberries\"], [\"what drinks did I buy from the grocery store on 2019/07/18?\", \"orange juice, guava juice, pineapple juice, milk\"], [\"what toiletries did I buy from the grocery store on 2019/07/18?\", \"paper towel, facial wash, mouthwash\"], [\"who did I see at the grocery store on 2019/07/18?\", \"Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6133\", \"logical_representation\": [\"2019/07/18\", \"breakfast\", \"toast and cheese\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/07/18?\", \"Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2019/07/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6134\", \"logical_representation\": [\"2019/07/18\", \"lunch\", \"tacos\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had tacos for lunch with Carter, Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/07/18?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for lunch on 2019/07/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6135\", \"logical_representation\": [\"2019/07/18\", \"dinner\", \"tacos\", \"Hazel, Avery, Olivia, Rylee, Nevaeh, Piper, Eva, Piper, Nora, Layla, Lydia, Kinsley, Claire\"], \"text_template_based\": \"I had dinner with Hazel, Avery, Olivia, Rylee, Nevaeh, Piper, Eva, Piper, Nora, Layla, Lydia, Kinsley, Claire. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/07/18?\", \"Hazel, Avery, Olivia, Rylee, Nevaeh, Piper, Eva, Piper, Nora, Layla, Lydia, Kinsley, Claire\"], [\"what did I eat for dinner on 2019/07/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6136\", \"logical_representation\": [\"2019/07/18\", \"Kinsley\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I talked to Kinsley for 37 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2019/07/18?\", \"37 minutes\"], [\"who did I talk to on 2019/07/18?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2019/07/18?\", \"yes\"], [\"Did I talk to anyone on 2019/07/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/20\": {\"grocery\": {\"eid\": \"e5783\", \"logical_representation\": [\"2019/07/20\", \"I bought some blackberries, oranges, strawberries, apples, mineral water, shampoo, facial wash, mouth wash, shaving cream online.\", \"blackberries, oranges, strawberries, apples\", \"mineral water\", \"shampoo, facial wash, mouth wash, shaving cream\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I bought some blackberries, oranges, strawberries, apples, mineral water, shampoo, facial wash, mouth wash, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/07/20?\", \"blackberries, oranges, strawberries, apples, mineral water, and shampoo, facial wash, mouth wash, shaving cream\"], [\"what fruits did I buy online on 2019/07/20?\", \"blackberries, oranges, strawberries, apples\"], [\"what drinks did I buy online on 2019/07/20?\", \"mineral water\"], [\"what toiletries did I buy online on 2019/07/20?\", \"shampoo, facial wash, mouth wash, shaving cream\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6141\", \"logical_representation\": [\"2019/07/20\", \"Eva, Piper\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Eva, Piper for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper late in the evening on 2019/07/20?\", \"18 minutes\"], [\"who did I talk to on 2019/07/20?\", \"Eva, Piper\"], [\"Did I talk to Eva, Piper on 2019/07/20?\", \"yes\"], [\"Did I talk to anyone on 2019/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/06\": {\"dating\": {\"eid\": \"e5784\", \"logical_representation\": [\"2019/08/06\", \"Elias\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Elias on 2019/08/06 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/08/06\", \"Elias\"], [\"where did I go for the date on 2019/08/06\", \"a restaurant\"]], \"multihop_qa_pairs\": []}}, \"2019/08/12\": {\"dating\": {\"eid\": \"e5785\", \"logical_representation\": [\"2019/08/12\", \"Aaliyah\", \"a park\"], \"text_template_based\": \"On 2019/08/12, I took Aaliyah on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/08/12\", \"Aaliyah\"], [\"where did I go for the date on 2019/08/12\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e5786\", \"logical_representation\": [\"2019/08/12\", \"I went grocery shopping with Willow, Benjamin. I bought some bananas, pineapples, blueberries, mango juice, tea, soda, and shaving cream, mouthwash\", \"bananas, pineapples, blueberries\", \"mango juice, tea, soda\", \"shaving cream, mouthwash\", \"Willow, Benjamin\"], \"text_template_based\": \"I went grocery shopping with Willow, Benjamin. I bought some bananas, pineapples, blueberries, mango juice, tea, soda, and shaving cream, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/08/12?\", \"bananas, pineapples, blueberries, mango juice, tea, soda, and shaving cream, mouthwash\"], [\"what fruits did I buy from the grocery store on 2019/08/12?\", \"bananas, pineapples, blueberries\"], [\"what drinks did I buy from the grocery store on 2019/08/12?\", \"mango juice, tea, soda\"], [\"what toiletries did I buy from the grocery store on 2019/08/12?\", \"shaving cream, mouthwash\"], [\"who was with me at the grocery store on 2019/08/12?\", \"Willow, Benjamin\"]], \"multihop_qa_pairs\": []}}, \"2019/08/19\": {\"grocery\": {\"eid\": \"e5787\", \"logical_representation\": [\"2019/08/19\", \"I went grocery shopping with Emily, Andrew, Carter. I bought some watermelons, pineapples, nectarines, clementines, mango juice, sports drinks, and mouth wash, shaving cream, toilet paper\", \"watermelons, pineapples, nectarines, clementines\", \"mango juice, sports drinks\", \"mouth wash, shaving cream, toilet paper\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping with Emily, Andrew, Carter. I bought some watermelons, pineapples, nectarines, clementines, mango juice, sports drinks, and mouth wash, shaving cream, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/08/19?\", \"watermelons, pineapples, nectarines, clementines, mango juice, sports drinks, and mouth wash, shaving cream, toilet paper\"], [\"what fruits did I buy from the grocery store on 2019/08/19?\", \"watermelons, pineapples, nectarines, clementines\"], [\"what drinks did I buy from the grocery store on 2019/08/19?\", \"mango juice, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2019/08/19?\", \"mouth wash, shaving cream, toilet paper\"], [\"who was with me at the grocery store on 2019/08/19?\", \"Emily, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6187\", \"logical_representation\": [\"2019/08/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/08/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6188\", \"logical_representation\": [\"2019/08/19\", \"Piper, Olivia\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia for 8 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia in the early afternoon on 2019/08/19?\", \"8 minutes\"], [\"who did I talk to on 2019/08/19?\", \"Piper, Olivia\"], [\"Did I talk to Piper, Olivia on 2019/08/19?\", \"yes\"], [\"Did I talk to anyone on 2019/08/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/22\": {\"grocery\": {\"eid\": \"e5788\", \"logical_representation\": [\"2019/08/22\", \"I bought some apples, pears, clementines, guava juice, milk, mango juice, body lotion, facial wash online.\", \"apples, pears, clementines\", \"guava juice, milk, mango juice\", \"body lotion, facial wash\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I bought some apples, pears, clementines, guava juice, milk, mango juice, body lotion, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/08/22?\", \"apples, pears, clementines, guava juice, milk, mango juice, and body lotion, facial wash\"], [\"what fruits did I buy online on 2019/08/22?\", \"apples, pears, clementines\"], [\"what drinks did I buy online on 2019/08/22?\", \"guava juice, milk, mango juice\"], [\"what toiletries did I buy online on 2019/08/22?\", \"body lotion, facial wash\"]], \"multihop_qa_pairs\": []}}, \"2019/08/30\": {\"hobbies\": {\"eid\": \"e5789\", \"logical_representation\": [\"2019/08/30\", \"I really enjoyed working out on 2019/08/30\", \"working out\", \"Jackson\"], \"text_template_based\": \"I really enjoyed working out on 2019/08/30\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2019/08/30\"], [\"On 2019/08/30, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6201\", \"logical_representation\": [\"2019/08/30\", \"lunch\", \"fish and chips\", \"Rylee, Eva, Avery, Piper, Nevaeh, Olivia, Lydia, Layla, Kinsley, Nora\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/08/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6202\", \"logical_representation\": [\"2019/08/30\", \"dinner\", \"indian food\", \"Piper\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/08/30\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/09/05\": {\"dating\": {\"eid\": \"e5790\", \"logical_representation\": [\"2019/09/05\", \"Aurora\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Aurora on 2019/09/05 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/09/05\", \"Aurora\"], [\"where did I go for the date on 2019/09/05\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6211\", \"logical_representation\": [\"2019/09/05\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/09/05\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6212\", \"logical_representation\": [\"2019/09/05\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/09/05?\", \"47 minutes\"], [\"what did I read on 2019/09/05?\", \"news\"], [\"Did I read on 2019/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6213\", \"logical_representation\": [\"2019/09/05\", \"a movie\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/05?\", \"43 minutes\"], [\"what did I watch on tv on 2019/09/05?\", \"a movie\"], [\"Did I watch tv on 2019/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/07\": {\"grocery\": {\"eid\": \"e5791\", \"logical_representation\": [\"2019/09/07\", \"I bought some cherres, strawberries, mandarins, coffee, mouthwash, toothbrush online.\", \"cherres, strawberries, mandarins\", \"coffee\", \"mouthwash, toothbrush\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I bought some cherres, strawberries, mandarins, coffee, mouthwash, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/09/07?\", \"cherres, strawberries, mandarins, coffee, and mouthwash, toothbrush\"], [\"what fruits did I buy online on 2019/09/07?\", \"cherres, strawberries, mandarins\"], [\"what drinks did I buy online on 2019/09/07?\", \"coffee\"], [\"what toiletries did I buy online on 2019/09/07?\", \"mouthwash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6215\", \"logical_representation\": [\"2019/09/07\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/09/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6216\", \"logical_representation\": [\"2019/09/07\", \"dinner\", \"indian food\", \"Claire\"], \"text_template_based\": \"I had dinner with Claire. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/09/07?\", \"Claire\"], [\"what did I eat for dinner on 2019/09/07\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/09/14\": {\"dating\": {\"eid\": \"e5792\", \"logical_representation\": [\"2019/09/14\", \"Eva\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Eva on 2019/09/14 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/09/14\", \"Eva\"], [\"where did I go for the date on 2019/09/14\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6228\", \"logical_representation\": [\"2019/09/14\", \"Olivia\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Olivia for 33 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early afternoon on 2019/09/14?\", \"33 minutes\"], [\"who did I talk to on 2019/09/14?\", \"Olivia\"], [\"Did I talk to Olivia on 2019/09/14?\", \"yes\"], [\"Did I talk to anyone on 2019/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/15\": {\"hobbies\": {\"eid\": \"e5793\", \"logical_representation\": [\"2019/09/15\", \"I really enjoyed gardening on 2019/09/15\", \"gardening\", \"Andrew\"], \"text_template_based\": \"I really enjoyed gardening on 2019/09/15\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do gardening?\", \"2019/09/15\"], [\"On 2019/09/15, which hobby did I spend time on?\", \"gardening\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6229\", \"logical_representation\": [\"2019/09/15\", \"biking\"], \"text_template_based\": \"I did biking on 2019/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/09/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6230\", \"logical_representation\": [\"2019/09/15\", \"dinner\", \"steak\", \"Claire, Nevaeh, Kinsley, Layla, Avery\"], \"text_template_based\": \"I had steak for dinner with Claire, Nevaeh, Kinsley, Layla, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/09/15?\", \"Claire, Nevaeh, Kinsley, Layla, Avery\"], [\"what did I eat for dinner on 2019/09/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6231\", \"logical_representation\": [\"2019/09/15\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I watched a documentary for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/15?\", \"44 minutes\"], [\"what did I watch on tv on 2019/09/15?\", \"a documentary\"], [\"Did I watch tv on 2019/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/16\": {\"grocery\": {\"eid\": \"e5794\", \"logical_representation\": [\"2019/09/16\", \"I went grocery shopping. I bought some mandarins, oranges, apricots, mango juice, and toilet paper, conditioner\", \"mandarins, oranges, apricots\", \"mango juice\", \"toilet paper, conditioner\", \"Avery, Layla, Claire\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, oranges, apricots, mango juice, and toilet paper, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/09/16?\", \"mandarins, oranges, apricots, mango juice, and toilet paper, conditioner\"], [\"what fruits did I buy from the grocery store on 2019/09/16?\", \"mandarins, oranges, apricots\"], [\"what drinks did I buy from the grocery store on 2019/09/16?\", \"mango juice\"], [\"what toiletries did I buy from the grocery store on 2019/09/16?\", \"toilet paper, conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6232\", \"logical_representation\": [\"2019/09/16\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/09/16?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6233\", \"logical_representation\": [\"2019/09/16\", \"breakfast\", \"peanut-butter-jam\", \"Avery\"], \"text_template_based\": \"I had breakfast with Avery. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/09/16?\", \"Avery\"], [\"what did I eat for breakfast on 2019/09/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6234\", \"logical_representation\": [\"2019/09/16\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/16?\", \"54 minutes\"], [\"what did I watch on tv on 2019/09/16?\", \"a documentary\"], [\"Did I watch tv on 2019/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/18\": {\"hobbies\": {\"eid\": \"e5795\", \"logical_representation\": [\"2019/09/18\", \"I spent time working out on 2019/09/18 with Carter, Kayden.\", \"working out\", \"Carter, Kayden\"], \"text_template_based\": \"I spent time working out on 2019/09/18 with Carter, Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Carter, Kayden?\", \"2019/09/18\"], [\"On 2019/09/18, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2019/09/18?\", \"Carter, Kayden\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6236\", \"logical_representation\": [\"2019/09/18\", \"lunch\", \"tacos\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/09/18\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6237\", \"logical_representation\": [\"2019/09/18\", \"Claire, Piper, Layla, Nevaeh\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Claire, Piper, Layla, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Layla, Nevaeh in the early afternoon on 2019/09/18?\", \"53 minutes\"], [\"who did I talk to on 2019/09/18?\", \"Claire, Piper, Layla, Nevaeh\"], [\"Did I talk to Claire, Piper, Layla, Nevaeh on 2019/09/18?\", \"yes\"], [\"Did I talk to anyone on 2019/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/22\": {\"hobbies\": {\"eid\": \"e5796\", \"logical_representation\": [\"2019/09/22\", \"I really enjoyed working out on 2019/09/22\", \"working out\", \"Layla\"], \"text_template_based\": \"I really enjoyed working out on 2019/09/22\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2019/09/22\"], [\"On 2019/09/22, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6240\", \"logical_representation\": [\"2019/09/22\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/09/22?\", \"49 minutes\"], [\"what did I read on 2019/09/22?\", \"social media\"], [\"Did I read on 2019/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/26\": {\"grocery\": {\"eid\": \"e5797\", \"logical_representation\": [\"2019/09/26\", \"I went grocery shopping with Carter, Emily, Andrew, Kayden. I bought some watermelons, mandarins, tea, mineral water, apple juice, chocolate milk, and conditioner, mouthwash, toilet paper, toothbrush\", \"watermelons, mandarins\", \"tea, mineral water, apple juice, chocolate milk\", \"conditioner, mouthwash, toilet paper, toothbrush\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping with Carter, Emily, Andrew, Kayden. I bought some watermelons, mandarins, tea, mineral water, apple juice, chocolate milk, and conditioner, mouthwash, toilet paper, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/09/26?\", \"watermelons, mandarins, tea, mineral water, apple juice, chocolate milk, and conditioner, mouthwash, toilet paper, toothbrush\"], [\"what fruits did I buy from the grocery store on 2019/09/26?\", \"watermelons, mandarins\"], [\"what drinks did I buy from the grocery store on 2019/09/26?\", \"tea, mineral water, apple juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2019/09/26?\", \"conditioner, mouthwash, toilet paper, toothbrush\"], [\"who was with me at the grocery store on 2019/09/26?\", \"Carter, Emily, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6245\", \"logical_representation\": [\"2019/09/26\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had breakfast. 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I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/09/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6247\", \"logical_representation\": [\"2019/09/26\", \"dinner\", \"a burger\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/26\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2019/09/27\": {\"grocery\": {\"eid\": \"e5798\", \"logical_representation\": [\"2019/09/27\", \"I bought some pears, apples, strawberries, coffee, milk, guava juice, chocolate milk, facial wash, mouthwash from the grocery store. I saw Emily, Carter at the grocery store.\", \"pears, apples, strawberries\", \"coffee, milk, guava juice, chocolate milk\", \"facial wash, mouthwash\", \"Emily, Carter\"], \"text_template_based\": \"I bought some pears, apples, strawberries, coffee, milk, guava juice, chocolate milk, facial wash, mouthwash from the grocery store. I saw Emily, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/09/27?\", \"pears, apples, strawberries, coffee, milk, guava juice, chocolate milk, and facial wash, mouthwash\"], [\"what fruits did I buy from the grocery store on 2019/09/27?\", \"pears, apples, strawberries\"], [\"what drinks did I buy from the grocery store on 2019/09/27?\", \"coffee, milk, guava juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2019/09/27?\", \"facial wash, mouthwash\"], [\"who did I see at the grocery store on 2019/09/27?\", \"Emily, Carter\"]], \"multihop_qa_pairs\": []}}, \"2019/10/06\": {\"bake\": {\"eid\": \"e5799\", \"logical_representation\": [\"2019/10/06\", \"I really enjoyed baking gluten-free apple rose tart, chocolate chip cookie in a mug, homemade toaster pastries on 2019/10/06 with Nevaeh, Layla at my place\", \"bake\", \"gluten-free apple rose tart, chocolate chip cookie in a mug, homemade toaster pastries\", \"Nevaeh, Layla\", \"my place\"], \"text_template_based\": \"I really enjoyed baking gluten-free apple rose tart, chocolate chip cookie in a mug, homemade toaster pastries on 2019/10/06 with Nevaeh, Layla at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  gluten-free apple rose tart, chocolate chip cookie in a mug, homemade toaster pastries with Nevaeh, Layla?\", \"2019/10/06\"], [\"what did I  on 2019/10/06?\", \"gluten-free apple rose tart, chocolate chip cookie in a mug, homemade toaster pastries\"], [\"who was I with when I  gluten-free apple rose tart, chocolate chip cookie in a mug, homemade toaster pastries on 2019/10/06?\", \"Nevaeh, Layla\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6258\", \"logical_representation\": [\"2019/10/06\", \"lunch\", \"fish and chips\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2019/10/04\": {\"dating\": {\"eid\": \"e5800\", \"logical_representation\": [\"2019/10/04\", \"Ivy\", \"a boba shop\"], \"text_template_based\": \"On 2019/10/04, I took Ivy on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/10/04\", \"Ivy\"], [\"where did I go for the date on 2019/10/04\", \"a boba shop\"]], \"multihop_qa_pairs\": []}}, \"2019/10/05\": {\"grocery\": {\"eid\": \"e5801\", \"logical_representation\": [\"2019/10/05\", \"I bought some blackberries, peaches, coffee, orange juice, mouth wash, toilet paper, body lotion, shaving cream from the grocery store. I saw Carter at the grocery store.\", \"blackberries, peaches\", \"coffee, orange juice\", \"mouth wash, toilet paper, body lotion, shaving cream\", \"Carter\"], \"text_template_based\": \"I bought some blackberries, peaches, coffee, orange juice, mouth wash, toilet paper, body lotion, shaving cream from the grocery store. I saw Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/10/05?\", \"blackberries, peaches, coffee, orange juice, and mouth wash, toilet paper, body lotion, shaving cream\"], [\"what fruits did I buy from the grocery store on 2019/10/05?\", \"blackberries, peaches\"], [\"what drinks did I buy from the grocery store on 2019/10/05?\", \"coffee, orange juice\"], [\"what toiletries did I buy from the grocery store on 2019/10/05?\", \"mouth wash, toilet paper, body lotion, shaving cream\"], [\"who did I see at the grocery store on 2019/10/05?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6257\", \"logical_representation\": [\"2019/10/05\", \"breakfast\", \"peanut-butter-jam\", \"Nora, Claire, Lydia, Layla\"], \"text_template_based\": \"I had breakfast with Nora, Claire, Lydia, Layla. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/10/05?\", \"Nora, Claire, Lydia, Layla\"], [\"what did I eat for breakfast on 2019/10/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2019/10/14\": {\"grocery\": {\"eid\": \"e5802\", \"logical_representation\": [\"2019/10/14\", \"I went grocery shopping. I bought some nectarines, peaches, clementines, chocolate milk, sports drinks, soda, tea, and body lotion, mouth wash, facial wash, shampoo\", \"nectarines, peaches, clementines\", \"chocolate milk, sports drinks, soda, tea\", \"body lotion, mouth wash, facial wash, shampoo\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some nectarines, peaches, clementines, chocolate milk, sports drinks, soda, tea, and body lotion, mouth wash, facial wash, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/10/14?\", \"nectarines, peaches, clementines, chocolate milk, sports drinks, soda, tea, and body lotion, mouth wash, facial wash, shampoo\"], [\"what fruits did I buy from the grocery store on 2019/10/14?\", \"nectarines, peaches, clementines\"], [\"what drinks did I buy from the grocery store on 2019/10/14?\", \"chocolate milk, sports drinks, soda, tea\"], [\"what toiletries did I buy from the grocery store on 2019/10/14?\", \"body lotion, mouth wash, facial wash, shampoo\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6274\", \"logical_representation\": [\"2019/10/14\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/10/14\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6275\", \"logical_representation\": [\"2019/10/14\", \"Avery\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the morning on 2019/10/14?\", \"14 minutes\"], [\"who did I talk to on 2019/10/14?\", \"Avery\"], [\"Did I talk to Avery on 2019/10/14?\", \"yes\"], [\"Did I talk to anyone on 2019/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/18\": {\"dating\": {\"eid\": \"e5803\", \"logical_representation\": [\"2019/10/18\", \"Elizabeth\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Elizabeth on 2019/10/18 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/10/18\", \"Elizabeth\"], [\"where did I go for the date on 2019/10/18\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6283\", \"logical_representation\": [\"2019/10/18\", \"dinner\", \"a burger\", \"Rylee, Kinsley\"], \"text_template_based\": \"I had dinner. 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I bought some apples, mandarins, apple juice, soda, orange juice, tea, and facial wash, toothpaste, mouthwash, mouth wash\", \"apples, mandarins\", \"apple juice, soda, orange juice, tea\", \"facial wash, toothpaste, mouthwash, mouth wash\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, mandarins, apple juice, soda, orange juice, tea, and facial wash, toothpaste, mouthwash, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/11/03?\", \"apples, mandarins, apple juice, soda, orange juice, tea, and facial wash, toothpaste, mouthwash, mouth wash\"], [\"what fruits did I buy from the grocery store on 2019/11/03?\", \"apples, mandarins\"], [\"what drinks did I buy from the grocery store on 2019/11/03?\", \"apple juice, soda, orange juice, tea\"], [\"what toiletries did I buy from the grocery store on 2019/11/03?\", \"facial wash, toothpaste, mouthwash, mouth wash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6307\", \"logical_representation\": [\"2019/11/03\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Andrew, Kayden, Carter. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/11/03?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2019/11/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6308\", \"logical_representation\": [\"2019/11/03\", \"Olivia, Nevaeh\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Olivia, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nevaeh during lunch hours on 2019/11/03?\", \"39 minutes\"], [\"who did I talk to on 2019/11/03?\", \"Olivia, Nevaeh\"], [\"Did I talk to Olivia, Nevaeh on 2019/11/03?\", \"yes\"], [\"Did I talk to anyone on 2019/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/08\": {\"dating\": {\"eid\": \"e5807\", \"logical_representation\": [\"2019/11/08\", \"Leonardo\", \"a restaurant\"], \"text_template_based\": \"On 2019/11/08, I took Leonardo on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/11/08\", \"Leonardo\"], [\"where did I go for the date on 2019/11/08\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6316\", \"logical_representation\": [\"2019/11/08\", \"lunch\", \"sandwich\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Kayden, Carter. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/11/08?\", \"Andrew, Emily, Kayden, Carter\"], [\"what did I eat for lunch on 2019/11/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2019/11/09\": {\"hobbies\": {\"eid\": \"e5808\", \"logical_representation\": [\"2019/11/09\", \"I spent time working out on 2019/11/09 with Claire, Kinsley.\", \"working out\", \"Claire, Kinsley\"], \"text_template_based\": \"I spent time working out on 2019/11/09 with Claire, Kinsley.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Claire, Kinsley?\", \"2019/11/09\"], [\"On 2019/11/09, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2019/11/09?\", \"Claire, Kinsley\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6317\", \"logical_representation\": [\"2019/11/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/11/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/11/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6318\", \"logical_representation\": [\"2019/11/09\", \"lunch\", \"chinese food\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/11/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6319\", \"logical_representation\": [\"2019/11/09\", \"Layla, Kinsley, Claire\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Layla, Kinsley, Claire for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Kinsley, Claire during lunch hours on 2019/11/09?\", \"31 minutes\"], [\"who did I talk to on 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\"Claire\"], [\"where did I go for the date on 2019/11/18\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6334\", \"logical_representation\": [\"2019/11/18\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6335\", \"logical_representation\": [\"2019/11/18\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/11/18?\", \"46 minutes\"], [\"what did I read on 2019/11/18?\", \"a book\"], [\"Did I read on 2019/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/17\": {\"hobbies\": {\"eid\": \"e5812\", \"logical_representation\": [\"2019/11/17\", \"I spent some time working out on 2019/11/17.\", \"working out\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I spent some time working out on 2019/11/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2019/11/17\"], [\"On 2019/11/17, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6332\", \"logical_representation\": [\"2019/11/17\", \"lunch\", \"a burger\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had a burger for lunch with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/11/17?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2019/11/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6333\", \"logical_representation\": [\"2019/11/17\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/11/17?\", \"27 minutes\"], [\"what did I read on 2019/11/17?\", \"news\"], [\"Did I read on 2019/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/15\": {\"grocery\": {\"eid\": \"e5813\", \"logical_representation\": [\"2019/11/15\", \"I went grocery shopping with Carter. I bought some apples, clementines, mandarins, apple juice, orange juice, and facial wash\", \"apples, clementines, mandarins\", \"apple juice, orange juice\", \"facial wash\", \"Carter\"], \"text_template_based\": \"I went grocery shopping with Carter. I bought some apples, clementines, mandarins, apple juice, orange juice, and facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/11/15?\", \"apples, clementines, mandarins, apple juice, orange juice, and facial wash\"], [\"what fruits did I buy from the grocery store on 2019/11/15?\", \"apples, clementines, mandarins\"], [\"what drinks did I buy from the grocery store on 2019/11/15?\", \"apple juice, orange juice\"], [\"what toiletries did I buy from the grocery store on 2019/11/15?\", \"facial wash\"], [\"who was with me at the grocery store on 2019/11/15?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6329\", \"logical_representation\": [\"2019/11/15\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. 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I bought some mangos, apricots, apple juice, mineral water, soda, mango juice, and toothpaste, shampoo, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2019/11/23?\", \"mangos, apricots, apple juice, mineral water, soda, mango juice, and toothpaste, shampoo, body lotion\"], [\"what fruits did I buy from the grocery store on 2019/11/23?\", \"mangos, apricots\"], [\"what drinks did I buy from the grocery store on 2019/11/23?\", \"apple juice, mineral water, soda, mango juice\"], [\"what toiletries did I buy from the grocery store on 2019/11/23?\", \"toothpaste, shampoo, body lotion\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6344\", \"logical_representation\": [\"2019/11/23\", \"breakfast\", \"cereals\", \"Rylee\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/23\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6345\", \"logical_representation\": [\"2019/11/23\", \"Nora, Claire\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Nora, Claire for 47 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire in the early afternoon on 2019/11/23?\", \"47 minutes\"], [\"who did I talk to on 2019/11/23?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2019/11/23?\", \"yes\"], [\"Did I talk to anyone on 2019/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6346\", \"logical_representation\": [\"2019/11/23\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/11/23?\", \"12 minutes\"], [\"what did I read on 2019/11/23?\", \"news\"], [\"Did I read on 2019/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6347\", \"logical_representation\": [\"2019/11/23\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/23?\", \"15 minutes\"], [\"what did I watch on tv on 2019/11/23?\", \"news\"], [\"Did I watch tv on 2019/11/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/06\": {\"dating\": {\"eid\": \"e5815\", \"logical_representation\": [\"2019/12/06\", \"Leilani\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Leilani on 2019/12/06 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/12/06\", \"Leilani\"], [\"where did I go for the date on 2019/12/06\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}}, \"2019/12/16\": {\"hobbies\": {\"eid\": \"e5816\", \"logical_representation\": [\"2019/12/16\", \"I spent time working out on 2019/12/16 with Kayden, Carter, Andrew.\", \"working out\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I spent time working out on 2019/12/16 with Kayden, Carter, Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Kayden, Carter, Andrew?\", \"2019/12/16\"], [\"On 2019/12/16, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2019/12/16?\", \"Kayden, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6383\", \"logical_representation\": [\"2019/12/16\", \"Nevaeh\", \"late in the evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 35 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh late in the evening on 2019/12/16?\", \"35 minutes\"], [\"who did I talk to on 2019/12/16?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2019/12/16?\", \"yes\"], [\"Did I talk to anyone on 2019/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6384\", \"logical_representation\": [\"2019/12/16\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/12/16?\", \"16 minutes\"], [\"what did I read on 2019/12/16?\", \"news\"], [\"Did I read on 2019/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/18\": {\"grocery\": {\"eid\": \"e5817\", \"logical_representation\": [\"2019/12/18\", \"I bought some peaches, watermelons, clementines, guava, chocolate milk, apple juice, milk, orange juice, shampoo online.\", \"peaches, watermelons, clementines, guava\", \"chocolate milk, apple juice, milk, orange juice\", \"shampoo\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I bought some peaches, watermelons, clementines, guava, chocolate milk, apple juice, milk, orange juice, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/12/18?\", \"peaches, watermelons, clementines, guava, chocolate milk, apple juice, milk, orange juice, and shampoo\"], [\"what fruits did I buy online on 2019/12/18?\", \"peaches, watermelons, clementines, guava\"], [\"what drinks did I buy online on 2019/12/18?\", \"chocolate milk, apple juice, milk, orange juice\"], [\"what toiletries did I buy online on 2019/12/18?\", \"shampoo\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6385\", \"logical_representation\": [\"2019/12/18\", \"running\"], \"text_template_based\": \"I did running on 2019/12/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/18?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6386\", \"logical_representation\": [\"2019/12/18\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/12/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6387\", \"logical_representation\": [\"2019/12/18\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/18?\", \"23 minutes\"], [\"what did I watch on tv on 2019/12/18?\", \"news\"], [\"Did I watch tv on 2019/12/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/27\": {\"dating\": {\"eid\": \"e5818\", \"logical_representation\": [\"2019/12/27\", \"Oliver\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Oliver on 2019/12/27 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2019/12/27\", \"Oliver\"], [\"where did I go for the date on 2019/12/27\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}}, \"2019/12/24\": {\"grocery\": {\"eid\": \"e5819\", \"logical_representation\": [\"2019/12/24\", \"I bought some bananas, mineral water, sports drinks, pineapple juice, paper towel online.\", \"bananas\", \"mineral water, sports drinks, pineapple juice\", \"paper towel\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I bought some bananas, mineral water, sports drinks, pineapple juice, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2019/12/24?\", \"bananas, mineral water, sports drinks, pineapple juice, and paper towel\"], [\"what fruits did I buy online on 2019/12/24?\", \"bananas\"], [\"what drinks did I buy online on 2019/12/24?\", \"mineral water, sports drinks, pineapple juice\"], [\"what toiletries did I buy online on 2019/12/24?\", \"paper towel\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6398\", \"logical_representation\": [\"2019/12/24\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/12/24?\", \"49 minutes\"], [\"what did I read on 2019/12/24?\", \"social media\"], [\"Did I read on 2019/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/01\": {\"watch tv\": {\"eid\": \"e5820\", \"logical_representation\": [\"2019/01/01\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/01?\", \"46 minutes\"], [\"what did I watch on tv on 2019/01/01?\", \"a movie\"], [\"Did I watch tv on 2019/01/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/02\": {\"dinner\": {\"eid\": \"e5821\", \"logical_representation\": [\"2019/01/02\", \"dinner\", \"indian food\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/01/02\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/01/05\": {\"exercise\": {\"eid\": \"e5824\", \"logical_representation\": [\"2019/01/05\", \"running\"], \"text_template_based\": \"I did running on 2019/01/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/05?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5825\", \"logical_representation\": [\"2019/01/05\", \"Eva, Rylee, Avery\", \"during lunch hours\", \"10 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee, Avery for 10 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Avery during lunch hours on 2019/01/05?\", \"10 minutes\"], [\"who did I talk to on 2019/01/05?\", \"Eva, Rylee, Avery\"], [\"Did I talk to Eva, Rylee, Avery on 2019/01/05?\", \"yes\"], [\"Did I talk to anyone on 2019/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/06\": {\"watch tv\": {\"eid\": \"e5826\", \"logical_representation\": [\"2019/01/06\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/06?\", \"33 minutes\"], [\"what did I watch on tv on 2019/01/06?\", \"a documentary\"], [\"Did I watch tv on 2019/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/07\": {\"watch tv\": {\"eid\": \"e5827\", \"logical_representation\": [\"2019/01/07\", \"a tv series\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/07?\", \"52 minutes\"], [\"what did I watch on tv on 2019/01/07?\", \"a tv series\"], [\"Did I watch tv on 2019/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/08\": {\"exercise\": {\"eid\": \"e5828\", \"logical_representation\": [\"2019/01/08\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/01/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/08?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2019/01/09\": {\"read\": {\"eid\": \"e5829\", \"logical_representation\": [\"2019/01/09\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/01/09?\", \"48 minutes\"], [\"what did I read on 2019/01/09?\", \"news\"], [\"Did I read on 2019/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/10\": {\"exercise\": {\"eid\": \"e5830\", \"logical_representation\": [\"2019/01/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/01/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5831\", \"logical_representation\": [\"2019/01/10\", \"breakfast\", \"oatmeal\", \"Hazel, Claire, Eva, Piper, Avery, Lydia, Rylee\"], \"text_template_based\": \"I had breakfast with Hazel, Claire, Eva, Piper, Avery, Lydia, Rylee. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/01/10?\", \"Hazel, Claire, Eva, Piper, Avery, Lydia, Rylee\"], [\"what did I eat for breakfast on 2019/01/10\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5832\", \"logical_representation\": [\"2019/01/10\", \"lunch\", \"a burger\", \"Piper, Layla, Piper, Claire\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/01/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5833\", \"logical_representation\": [\"2019/01/10\", \"Layla\", \"late in the evening\", \"8 minutes\"], \"text_template_based\": \"I talked to Layla for 8 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2019/01/10?\", \"8 minutes\"], [\"who did I talk to on 2019/01/10?\", \"Layla\"], [\"Did I talk to Layla on 2019/01/10?\", \"yes\"], [\"Did I talk to anyone on 2019/01/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/12\": {\"chat0\": {\"eid\": \"e5834\", \"logical_representation\": [\"2019/01/12\", \"Piper, Lydia, Rylee\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Piper, Lydia, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Rylee in the early evening on 2019/01/12?\", \"35 minutes\"], [\"who did I talk to on 2019/01/12?\", \"Piper, Lydia, Rylee\"], [\"Did I talk to Piper, Lydia, Rylee on 2019/01/12?\", \"yes\"], [\"Did I talk to anyone on 2019/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/13\": {\"exercise\": {\"eid\": \"e5835\", \"logical_representation\": [\"2019/01/13\", \"biking\"], \"text_template_based\": \"I did biking on 2019/01/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5836\", \"logical_representation\": [\"2019/01/13\", \"breakfast\", \"pancakes\", \"Jackson\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/01/13\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5837\", \"logical_representation\": [\"2019/01/13\", \"dinner\", \"chinese food\", \"Rylee, Hazel, Avery, Piper, Claire, Nevaeh, Kinsley, Layla, Olivia, Piper, Lydia\"], \"text_template_based\": \"I had dinner with Rylee, Hazel, Avery, Piper, Claire, Nevaeh, Kinsley, Layla, Olivia, Piper, Lydia. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/01/13?\", \"Rylee, Hazel, Avery, Piper, Claire, Nevaeh, Kinsley, Layla, Olivia, Piper, Lydia\"], [\"what did I eat for dinner on 2019/01/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5838\", \"logical_representation\": [\"2019/01/13\", \"Claire\", \"in the late afternoon\", \"8 minutes\"], \"text_template_based\": \"I talked to Claire for 8 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2019/01/13?\", \"8 minutes\"], [\"who did I talk to on 2019/01/13?\", \"Claire\"], [\"Did I talk to Claire on 2019/01/13?\", \"yes\"], [\"Did I talk to anyone on 2019/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5839\", \"logical_representation\": [\"2019/01/13\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I watched a documentary for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/13?\", \"40 minutes\"], [\"what did I watch on tv on 2019/01/13?\", \"a documentary\"], [\"Did I watch tv on 2019/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/15\": {\"breakfast\": {\"eid\": \"e5843\", \"logical_representation\": [\"2019/01/15\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Carter, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/01/15?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for breakfast on 2019/01/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5844\", \"logical_representation\": [\"2019/01/15\", \"Piper, Eva\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Piper, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva during lunch hours on 2019/01/15?\", \"34 minutes\"], [\"who did I talk to on 2019/01/15?\", \"Piper, Eva\"], [\"Did I talk to Piper, Eva on 2019/01/15?\", \"yes\"], [\"Did I talk to anyone on 2019/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/16\": {\"watch tv\": {\"eid\": \"e5845\", \"logical_representation\": [\"2019/01/16\", \"news\", \"20 minutes\"], \"text_template_based\": \"I watched news for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/16?\", \"20 minutes\"], [\"what did I watch on tv on 2019/01/16?\", \"news\"], [\"Did I watch tv on 2019/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/18\": {\"breakfast\": {\"eid\": \"e5846\", \"logical_representation\": [\"2019/01/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/01/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5847\", \"logical_representation\": [\"2019/01/18\", \"lunch\", \"fish and chips\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I had lunch with Jackson, Willow, Benjamin, Avery. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/01/18?\", \"Jackson, Willow, Benjamin, Avery\"], [\"what did I eat for lunch on 2019/01/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2019/01/19\": {\"exercise\": {\"eid\": \"e5848\", \"logical_representation\": [\"2019/01/19\", \"biking\"], \"text_template_based\": \"I did biking on 2019/01/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/19?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5849\", \"logical_representation\": [\"2019/01/19\", \"breakfast\", \"toast and cheese\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/01/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5850\", \"logical_representation\": [\"2019/01/19\", \"Olivia\", \"in the early afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Olivia for 36 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early afternoon on 2019/01/19?\", \"36 minutes\"], [\"who did I talk to on 2019/01/19?\", \"Olivia\"], [\"Did I talk to Olivia on 2019/01/19?\", \"yes\"], [\"Did I talk to anyone on 2019/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5851\", \"logical_representation\": [\"2019/01/19\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/01/19?\", \"28 minutes\"], [\"what did I read on 2019/01/19?\", \"news\"], [\"Did I read on 2019/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/22\": {\"exercise\": {\"eid\": \"e5858\", \"logical_representation\": [\"2019/01/22\", \"running\"], \"text_template_based\": \"I did running on 2019/01/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/22?\", \"running\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5859\", \"logical_representation\": [\"2019/01/22\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/22?\", \"39 minutes\"], [\"what did I watch on tv on 2019/01/22?\", \"a tv series\"], [\"Did I watch tv on 2019/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/23\": {\"chat0\": {\"eid\": \"e5860\", \"logical_representation\": [\"2019/01/23\", \"Avery\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I talked to Avery for 44 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early afternoon on 2019/01/23?\", \"44 minutes\"], [\"who did I talk to on 2019/01/23?\", \"Avery\"], [\"Did I talk to Avery on 2019/01/23?\", \"yes\"], [\"Did I talk to anyone on 2019/01/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/24\": {\"chat0\": {\"eid\": \"e5861\", \"logical_representation\": [\"2019/01/24\", \"Layla, Avery, Nora\", \"in the morning\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Layla, Avery, Nora on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Nora in the morning on 2019/01/24?\", \"50 minutes\"], [\"who did I talk to on 2019/01/24?\", \"Layla, Avery, Nora\"], [\"Did I talk to Layla, Avery, Nora on 2019/01/24?\", \"yes\"], [\"Did I talk to anyone on 2019/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5862\", \"logical_representation\": [\"2019/01/24\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/01/24?\", \"22 minutes\"], [\"what did I read on 2019/01/24?\", \"a book\"], [\"Did I read on 2019/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5863\", \"logical_representation\": [\"2019/01/24\", \"a tv series\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/24?\", \"47 minutes\"], [\"what did I watch on tv on 2019/01/24?\", \"a tv series\"], [\"Did I watch tv on 2019/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/25\": {\"exercise\": {\"eid\": \"e5864\", \"logical_representation\": [\"2019/01/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/01/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5865\", \"logical_representation\": [\"2019/01/25\", \"dinner\", \"sushi\", \"Nora, Hazel, Kinsley, Nevaeh, Piper, Rylee, Claire, Piper, Avery, Layla, Olivia\"], \"text_template_based\": \"I had sushi for dinner with Nora, Hazel, Kinsley, Nevaeh, Piper, Rylee, Claire, Piper, Avery, Layla, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/01/25?\", \"Nora, Hazel, Kinsley, Nevaeh, Piper, Rylee, Claire, Piper, Avery, Layla, Olivia\"], [\"what did I eat for dinner on 2019/01/25\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2019/01/26\": {\"lunch\": {\"eid\": \"e5866\", \"logical_representation\": [\"2019/01/26\", \"lunch\", \"tacos\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/01/26\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2019/01/27\": {\"chat0\": {\"eid\": \"e5867\", \"logical_representation\": [\"2019/01/27\", \"Eva, Hazel\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I talked to Eva, Hazel for 33 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel in the early evening on 2019/01/27?\", \"33 minutes\"], [\"who did I talk to on 2019/01/27?\", \"Eva, Hazel\"], [\"Did I talk to Eva, Hazel on 2019/01/27?\", \"yes\"], [\"Did I talk to anyone on 2019/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/28\": {\"watch tv\": {\"eid\": \"e5868\", \"logical_representation\": [\"2019/01/28\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/28?\", \"33 minutes\"], [\"what did I watch on tv on 2019/01/28?\", \"news\"], [\"Did I watch tv on 2019/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/29\": {\"watch tv\": {\"eid\": \"e5869\", \"logical_representation\": [\"2019/01/29\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/29?\", \"16 minutes\"], [\"what did I watch on tv on 2019/01/29?\", \"a documentary\"], [\"Did I watch tv on 2019/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/30\": {\"exercise\": {\"eid\": \"e5870\", \"logical_representation\": [\"2019/01/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/01/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/01/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5871\", \"logical_representation\": [\"2019/01/30\", \"Layla, Piper, Rylee, Eva\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I talked to Layla, Piper, Rylee, Eva for 43 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper, Rylee, Eva late in the evening on 2019/01/30?\", \"43 minutes\"], [\"who did I talk to on 2019/01/30?\", \"Layla, Piper, Rylee, Eva\"], [\"Did I talk to Layla, Piper, Rylee, Eva on 2019/01/30?\", \"yes\"], [\"Did I talk to anyone on 2019/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/01/31\": {\"lunch\": {\"eid\": \"e5872\", \"logical_representation\": [\"2019/01/31\", \"lunch\", \"a burger\", \"Andrew, Carter\"], \"text_template_based\": \"I had a burger for lunch with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/01/31?\", \"Andrew, Carter\"], [\"what did I eat for lunch on 2019/01/31\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5873\", \"logical_representation\": [\"2019/01/31\", \"news\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/01/31?\", \"42 minutes\"], [\"what did I watch on tv on 2019/01/31?\", \"news\"], [\"Did I watch tv on 2019/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/01\": {\"exercise\": {\"eid\": \"e5874\", \"logical_representation\": [\"2019/02/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/02/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2019/02/02\": {\"exercise\": {\"eid\": \"e5875\", \"logical_representation\": [\"2019/02/02\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/02/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/02?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5876\", \"logical_representation\": [\"2019/02/02\", \"Claire\", \"in the early afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2019/02/02?\", \"48 minutes\"], [\"who did I talk to on 2019/02/02?\", \"Claire\"], [\"Did I talk to Claire on 2019/02/02?\", \"yes\"], [\"Did I talk to anyone on 2019/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5877\", \"logical_representation\": [\"2019/02/02\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I watched a movie for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/02?\", \"11 minutes\"], [\"what did I watch on tv on 2019/02/02?\", \"a movie\"], [\"Did I watch tv on 2019/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/03\": {\"exercise\": {\"eid\": \"e5878\", \"logical_representation\": [\"2019/02/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/02/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5879\", \"logical_representation\": [\"2019/02/03\", \"dinner\", \"sushi\", \"Eva, Hazel, Kinsley, Avery, Rylee, Lydia, Piper, Layla, Claire, Nevaeh\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/02/03\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2019/02/04\": {\"chat0\": {\"eid\": \"e5880\", \"logical_representation\": [\"2019/02/04\", \"Nora, Piper, Eva\", \"in the late afternoon\", \"36 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Eva for 36 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Eva in the late afternoon on 2019/02/04?\", \"36 minutes\"], [\"who did I talk to on 2019/02/04?\", \"Nora, Piper, Eva\"], [\"Did I talk to Nora, Piper, Eva on 2019/02/04?\", \"yes\"], [\"Did I talk to anyone on 2019/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5881\", \"logical_representation\": [\"2019/02/04\", \"a movie\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/04?\", \"41 minutes\"], [\"what did I watch on tv on 2019/02/04?\", \"a movie\"], [\"Did I watch tv on 2019/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/05\": {\"chat0\": {\"eid\": \"e5882\", \"logical_representation\": [\"2019/02/05\", \"Piper, Piper, Olivia, Nevaeh\", \"in the late afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Piper, Piper, Olivia, Nevaeh for 50 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper, Olivia, Nevaeh in the late afternoon on 2019/02/05?\", \"50 minutes\"], [\"who did I talk to on 2019/02/05?\", \"Piper, Piper, Olivia, Nevaeh\"], [\"Did I talk to Piper, Piper, Olivia, Nevaeh on 2019/02/05?\", \"yes\"], [\"Did I talk to anyone on 2019/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5883\", \"logical_representation\": [\"2019/02/05\", \"news\", \"26 minutes\"], \"text_template_based\": \"I watched news for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/05?\", \"26 minutes\"], [\"what did I watch on tv on 2019/02/05?\", \"news\"], [\"Did I watch tv on 2019/02/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/06\": {\"breakfast\": {\"eid\": \"e5884\", \"logical_representation\": [\"2019/02/06\", \"breakfast\", \"cereals\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/02/06\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5885\", \"logical_representation\": [\"2019/02/06\", \"dinner\", \"indian food\", \"Avery, Piper, Nora, Eva, Rylee, Lydia, Olivia, Layla, Piper\"], \"text_template_based\": \"I had indian food for dinner with Avery, Piper, Nora, Eva, Rylee, Lydia, Olivia, Layla, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/02/06?\", \"Avery, Piper, Nora, Eva, Rylee, Lydia, Olivia, Layla, Piper\"], [\"what did I eat for dinner on 2019/02/06\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/02/09\": {\"exercise\": {\"eid\": \"e5888\", \"logical_representation\": [\"2019/02/09\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/02/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/09?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2019/02/12\": {\"chat0\": {\"eid\": \"e5892\", \"logical_representation\": [\"2019/02/12\", \"Piper\", \"during lunch hours\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2019/02/12?\", \"30 minutes\"], [\"who did I talk to on 2019/02/12?\", \"Piper\"], [\"Did I talk to Piper on 2019/02/12?\", \"yes\"], [\"Did I talk to anyone on 2019/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5893\", \"logical_representation\": [\"2019/02/12\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/02/12?\", \"18 minutes\"], [\"what did I watch on tv on 2019/02/12?\", \"news\"], [\"Did I watch tv on 2019/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/13\": {\"exercise\": {\"eid\": \"e5894\", \"logical_representation\": [\"2019/02/13\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/02/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/13?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5895\", \"logical_representation\": [\"2019/02/13\", \"lunch\", \"steak\", \"Lydia, Nora, Eva\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/02/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5896\", \"logical_representation\": [\"2019/02/13\", \"Eva, Olivia, Avery\", \"in the late afternoon\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Eva, Olivia, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Olivia, Avery in the late afternoon on 2019/02/13?\", \"13 minutes\"], [\"who did I talk to on 2019/02/13?\", \"Eva, Olivia, Avery\"], [\"Did I talk to Eva, Olivia, Avery on 2019/02/13?\", \"yes\"], [\"Did I talk to anyone on 2019/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5897\", \"logical_representation\": [\"2019/02/13\", \"social media\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/02/13?\", \"32 minutes\"], [\"what did I read on 2019/02/13?\", \"social media\"], [\"Did I read on 2019/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/14\": {\"breakfast\": {\"eid\": \"e5898\", \"logical_representation\": [\"2019/02/14\", \"breakfast\", \"cereals\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/02/14\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5899\", \"logical_representation\": [\"2019/02/14\", \"lunch\", \"a burger\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/02/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5900\", \"logical_representation\": [\"2019/02/14\", \"Piper, Claire, Olivia, Hazel\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Piper, Claire, Olivia, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Olivia, Hazel in the early evening on 2019/02/14?\", \"48 minutes\"], [\"who did I talk to on 2019/02/14?\", \"Piper, Claire, Olivia, Hazel\"], [\"Did I talk to Piper, Claire, Olivia, Hazel on 2019/02/14?\", \"yes\"], [\"Did I talk to anyone on 2019/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/16\": {\"exercise\": {\"eid\": \"e5903\", \"logical_representation\": [\"2019/02/16\", \"biking\"], \"text_template_based\": \"I did biking on 2019/02/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5904\", \"logical_representation\": [\"2019/02/16\", \"social media\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/02/16?\", \"34 minutes\"], [\"what did I read on 2019/02/16?\", \"social media\"], [\"Did I read on 2019/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/18\": {\"exercise\": {\"eid\": \"e5905\", \"logical_representation\": [\"2019/02/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/02/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/02/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5906\", \"logical_representation\": [\"2019/02/18\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/02/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5907\", \"logical_representation\": [\"2019/02/18\", \"Kinsley, Layla, Nevaeh, Rylee\", \"in the early afternoon\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Kinsley, Layla, Nevaeh, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Layla, Nevaeh, Rylee in the early afternoon on 2019/02/18?\", \"30 minutes\"], [\"who did I talk to on 2019/02/18?\", \"Kinsley, Layla, Nevaeh, Rylee\"], [\"Did I talk to Kinsley, Layla, Nevaeh, Rylee on 2019/02/18?\", \"yes\"], [\"Did I talk to anyone on 2019/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/20\": {\"breakfast\": {\"eid\": \"e5909\", \"logical_representation\": [\"2019/02/20\", \"breakfast\", \"pancakes\", \"Avery\"], \"text_template_based\": \"I had breakfast with Avery. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/02/20?\", \"Avery\"], [\"what did I eat for breakfast on 2019/02/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5910\", \"logical_representation\": [\"2019/02/20\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/02/20?\", \"29 minutes\"], [\"what did I read on 2019/02/20?\", \"social media\"], [\"Did I read on 2019/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/22\": {\"chat0\": {\"eid\": \"e5911\", \"logical_representation\": [\"2019/02/22\", \"Hazel, Claire, Piper, Layla\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Hazel, Claire, Piper, Layla for 41 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire, Piper, Layla late in the evening on 2019/02/22?\", \"41 minutes\"], [\"who did I talk to on 2019/02/22?\", \"Hazel, Claire, Piper, Layla\"], [\"Did I talk to Hazel, Claire, Piper, Layla on 2019/02/22?\", \"yes\"], [\"Did I talk to anyone on 2019/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/26\": {\"dinner\": {\"eid\": \"e5917\", \"logical_representation\": [\"2019/02/26\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/02/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5918\", \"logical_representation\": [\"2019/02/26\", \"Piper, Nevaeh\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Piper, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh during lunch hours on 2019/02/26?\", \"9 minutes\"], [\"who did I talk to on 2019/02/26?\", \"Piper, Nevaeh\"], [\"Did I talk to Piper, Nevaeh on 2019/02/26?\", \"yes\"], [\"Did I talk to anyone on 2019/02/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/02/28\": {\"breakfast\": {\"eid\": \"e5919\", \"logical_representation\": [\"2019/02/28\", \"breakfast\", \"oatmeal\", \"Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/02/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5920\", \"logical_representation\": [\"2019/02/28\", \"lunch\", \"pasta\", \"Nevaeh, Lydia, Eva, Hazel, Kinsley, Layla, Piper, Rylee, Piper, Nora, Olivia, Claire, Avery\"], \"text_template_based\": \"I had pasta for lunch with Nevaeh, Lydia, Eva, Hazel, Kinsley, Layla, Piper, Rylee, Piper, Nora, Olivia, Claire, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/02/28?\", \"Nevaeh, Lydia, Eva, Hazel, Kinsley, Layla, Piper, Rylee, Piper, Nora, Olivia, Claire, Avery\"], [\"what did I eat for lunch on 2019/02/28\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5921\", \"logical_representation\": [\"2019/02/28\", \"dinner\", \"sushi\", \"Carter, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/02/28?\", \"Carter, Andrew\"], [\"what did I eat for dinner on 2019/02/28\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2019/03/01\": {\"breakfast\": {\"eid\": \"e5922\", \"logical_representation\": [\"2019/03/01\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/03/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5923\", \"logical_representation\": [\"2019/03/01\", \"dinner\", \"a burger\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I had dinner with Jackson, Avery, Benjamin, Willow. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/03/01?\", \"Jackson, Avery, Benjamin, Willow\"], [\"what did I eat for dinner on 2019/03/01\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2019/03/02\": {\"exercise\": {\"eid\": \"e5924\", \"logical_representation\": [\"2019/03/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/03/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5925\", \"logical_representation\": [\"2019/03/02\", \"dinner\", \"indian food\", \"Claire, Lydia, Eva, Nora, Rylee\"], \"text_template_based\": \"I had dinner with Claire, Lydia, Eva, Nora, Rylee. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/03/02?\", \"Claire, Lydia, Eva, Nora, Rylee\"], [\"what did I eat for dinner on 2019/03/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5926\", \"logical_representation\": [\"2019/03/02\", \"Avery, Claire, Piper\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Avery, Claire, Piper for 6 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire, Piper in the late afternoon on 2019/03/02?\", \"6 minutes\"], [\"who did I talk to on 2019/03/02?\", \"Avery, Claire, Piper\"], [\"Did I talk to Avery, Claire, Piper on 2019/03/02?\", \"yes\"], [\"Did I talk to anyone on 2019/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/03\": {\"chat0\": {\"eid\": \"e5927\", \"logical_representation\": [\"2019/03/03\", \"Layla, Nora, Piper, Kinsley\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Layla, Nora, Piper, Kinsley for 42 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora, Piper, Kinsley late in the evening on 2019/03/03?\", \"42 minutes\"], [\"who did I talk to on 2019/03/03?\", \"Layla, Nora, Piper, Kinsley\"], [\"Did I talk to Layla, Nora, Piper, Kinsley on 2019/03/03?\", \"yes\"], [\"Did I talk to anyone on 2019/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/04\": {\"exercise\": {\"eid\": \"e5928\", \"logical_representation\": [\"2019/03/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/03/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5929\", \"logical_representation\": [\"2019/03/04\", \"breakfast\", \"toast and cheese\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/03/04\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5930\", \"logical_representation\": [\"2019/03/04\", \"lunch\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/03/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5931\", \"logical_representation\": [\"2019/03/04\", \"dinner\", \"sandwich\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had sandwich for dinner with Carter, Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/03/04?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2019/03/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5932\", \"logical_representation\": [\"2019/03/04\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/03/04?\", \"12 minutes\"], [\"what did I read on 2019/03/04?\", \"a book\"], [\"Did I read on 2019/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/05\": {\"watch tv\": {\"eid\": \"e5933\", \"logical_representation\": [\"2019/03/05\", \"a tv series\", \"33 minutes\"], \"text_template_based\": \"I watched a tv series for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/05?\", \"33 minutes\"], [\"what did I watch on tv on 2019/03/05?\", \"a tv series\"], [\"Did I watch tv on 2019/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/06\": {\"watch tv\": {\"eid\": \"e5934\", \"logical_representation\": [\"2019/03/06\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/06?\", \"8 minutes\"], [\"what did I watch on tv on 2019/03/06?\", \"news\"], [\"Did I watch tv on 2019/03/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/09\": {\"breakfast\": {\"eid\": \"e5935\", \"logical_representation\": [\"2019/03/09\", \"breakfast\", \"oatmeal\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/03/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5936\", \"logical_representation\": [\"2019/03/09\", \"dinner\", \"a burger\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had a burger for dinner with Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/03/09?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2019/03/09\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5937\", \"logical_representation\": [\"2019/03/09\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/03/09?\", \"27 minutes\"], [\"what did I watch on tv on 2019/03/09?\", \"news\"], [\"Did I watch tv on 2019/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/10\": {\"breakfast\": {\"eid\": \"e5938\", \"logical_representation\": [\"2019/03/10\", \"breakfast\", \"pancakes\", \"Kayden, Carter\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/03/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5939\", \"logical_representation\": [\"2019/03/10\", \"Hazel, Eva, Nora, Claire\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Hazel, Eva, Nora, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Eva, Nora, Claire in the late afternoon on 2019/03/10?\", \"34 minutes\"], [\"who did I talk to on 2019/03/10?\", \"Hazel, Eva, Nora, Claire\"], [\"Did I talk to Hazel, Eva, Nora, Claire on 2019/03/10?\", \"yes\"], [\"Did I talk to anyone on 2019/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5940\", \"logical_representation\": [\"2019/03/10\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/03/10?\", \"12 minutes\"], [\"what did I read on 2019/03/10?\", \"news\"], [\"Did I read on 2019/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/12\": {\"exercise\": {\"eid\": \"e5941\", \"logical_representation\": [\"2019/03/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/03/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2019/03/16\": {\"chat0\": {\"eid\": \"e5944\", \"logical_representation\": [\"2019/03/16\", \"Nora, Piper, Rylee, Lydia\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Nora, Piper, Rylee, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Rylee, Lydia during lunch hours on 2019/03/16?\", \"33 minutes\"], [\"who did I talk to on 2019/03/16?\", \"Nora, Piper, Rylee, Lydia\"], [\"Did I talk to Nora, Piper, Rylee, Lydia on 2019/03/16?\", \"yes\"], [\"Did I talk to anyone on 2019/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/17\": {\"lunch\": {\"eid\": \"e5945\", \"logical_representation\": [\"2019/03/17\", \"lunch\", \"pasta\", \"Carter, Emily\"], \"text_template_based\": \"I had pasta for lunch with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/03/17?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2019/03/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5946\", \"logical_representation\": [\"2019/03/17\", \"Claire, Olivia, Piper, Kinsley\", \"in the morning\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Claire, Olivia, Piper, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Piper, Kinsley in the morning on 2019/03/17?\", \"28 minutes\"], [\"who did I talk to on 2019/03/17?\", \"Claire, Olivia, Piper, Kinsley\"], [\"Did I talk to Claire, Olivia, Piper, Kinsley on 2019/03/17?\", \"yes\"], [\"Did I talk to anyone on 2019/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/03/28\": {\"exercise\": {\"eid\": \"e5961\", \"logical_representation\": [\"2019/03/28\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/03/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/03/28?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5962\", \"logical_representation\": [\"2019/03/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/03/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2019/04/01\": {\"lunch\": {\"eid\": \"e5965\", \"logical_representation\": [\"2019/04/01\", \"lunch\", \"sushi\", \"Andrew, Carter\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/04/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e5966\", \"logical_representation\": [\"2019/04/01\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/04/01\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/04/02\": {\"breakfast\": {\"eid\": \"e5967\", \"logical_representation\": [\"2019/04/02\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/04/02?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2019/04/02\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5968\", \"logical_representation\": [\"2019/04/02\", \"Olivia, Eva, Nevaeh\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Olivia, Eva, Nevaeh for 20 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva, Nevaeh in the late afternoon on 2019/04/02?\", \"20 minutes\"], [\"who did I talk to on 2019/04/02?\", \"Olivia, Eva, Nevaeh\"], [\"Did I talk to Olivia, Eva, Nevaeh on 2019/04/02?\", \"yes\"], [\"Did I talk to anyone on 2019/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e5969\", \"logical_representation\": [\"2019/04/02\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/04/02?\", \"35 minutes\"], [\"what did I read on 2019/04/02?\", \"news\"], [\"Did I read on 2019/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5970\", \"logical_representation\": [\"2019/04/02\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/02?\", \"28 minutes\"], [\"what did I watch on tv on 2019/04/02?\", \"a tv series\"], [\"Did I watch tv on 2019/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/03\": {\"exercise\": {\"eid\": \"e5971\", \"logical_representation\": [\"2019/04/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/04/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e5972\", \"logical_representation\": [\"2019/04/03\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/04/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2019/04/05\": {\"exercise\": {\"eid\": \"e5973\", \"logical_representation\": [\"2019/04/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5974\", \"logical_representation\": [\"2019/04/05\", \"lunch\", \"steak\", \"Nevaeh\"], \"text_template_based\": \"I had steak for lunch with Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/05?\", \"Nevaeh\"], [\"what did I eat for lunch on 2019/04/05\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5975\", \"logical_representation\": [\"2019/04/05\", \"Eva\", \"in the early afternoon\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the early afternoon on 2019/04/05?\", \"35 minutes\"], [\"who did I talk to on 2019/04/05?\", \"Eva\"], [\"Did I talk to Eva on 2019/04/05?\", \"yes\"], [\"Did I talk to anyone on 2019/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e5976\", \"logical_representation\": [\"2019/04/05\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/04/05?\", \"52 minutes\"], [\"what did I read on 2019/04/05?\", \"social media\"], [\"Did I read on 2019/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/06\": {\"lunch\": {\"eid\": \"e5977\", \"logical_representation\": [\"2019/04/06\", \"lunch\", \"sandwich\", \"Benjamin\"], \"text_template_based\": \"I had lunch with Benjamin. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/06?\", \"Benjamin\"], [\"what did I eat for lunch on 2019/04/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5978\", \"logical_representation\": [\"2019/04/06\", \"Avery, Rylee, Layla, Hazel\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I talked to Avery, Rylee, Layla, Hazel for 9 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Rylee, Layla, Hazel during lunch hours on 2019/04/06?\", \"9 minutes\"], [\"who did I talk to on 2019/04/06?\", \"Avery, Rylee, Layla, Hazel\"], [\"Did I talk to Avery, Rylee, Layla, Hazel on 2019/04/06?\", \"yes\"], [\"Did I talk to anyone on 2019/04/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/08\": {\"exercise\": {\"eid\": \"e5979\", \"logical_representation\": [\"2019/04/08\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/04/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/08?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2019/04/09\": {\"watch tv\": {\"eid\": \"e5980\", \"logical_representation\": [\"2019/04/09\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/09?\", \"18 minutes\"], [\"what did I watch on tv on 2019/04/09?\", \"a movie\"], [\"Did I watch tv on 2019/04/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/10\": {\"lunch\": {\"eid\": \"e5981\", \"logical_representation\": [\"2019/04/10\", \"lunch\", \"chinese food\", \"Eva, Kinsley, Lydia, Layla, Piper, Claire, Olivia, Nora, Piper, Hazel, Avery, Nevaeh, Rylee\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/04/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2019/04/12\": {\"dinner\": {\"eid\": \"e5982\", \"logical_representation\": [\"2019/04/12\", \"dinner\", \"chinese food\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/04/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2019/04/13\": {\"breakfast\": {\"eid\": \"e5983\", \"logical_representation\": [\"2019/04/13\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/04/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5984\", \"logical_representation\": [\"2019/04/13\", \"lunch\", \"fish and chips\", \"Olivia, Avery, Kinsley, Nevaeh, Layla, Claire, Lydia, Nora, Hazel, Eva\"], \"text_template_based\": \"I had fish and chips for lunch with Olivia, Avery, Kinsley, Nevaeh, Layla, Claire, Lydia, Nora, Hazel, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/13?\", \"Olivia, Avery, Kinsley, Nevaeh, Layla, Claire, Lydia, Nora, Hazel, Eva\"], [\"what did I eat for lunch on 2019/04/13\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5985\", \"logical_representation\": [\"2019/04/13\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/13?\", \"20 minutes\"], [\"what did I watch on tv on 2019/04/13?\", \"news\"], [\"Did I watch tv on 2019/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/16\": {\"breakfast\": {\"eid\": \"e5988\", \"logical_representation\": [\"2019/04/16\", \"breakfast\", \"toast and cheese\", \"Kayden\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/04/16\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2019/04/17\": {\"watch tv\": {\"eid\": \"e5989\", \"logical_representation\": [\"2019/04/17\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/17?\", \"27 minutes\"], [\"what did I watch on tv on 2019/04/17?\", \"a documentary\"], [\"Did I watch tv on 2019/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/18\": {\"read\": {\"eid\": \"e5990\", \"logical_representation\": [\"2019/04/18\", \"a book\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/04/18?\", \"22 minutes\"], [\"what did I read on 2019/04/18?\", \"a book\"], [\"Did I read on 2019/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/20\": {\"chat0\": {\"eid\": \"e5994\", \"logical_representation\": [\"2019/04/20\", \"Piper\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Piper for 39 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2019/04/20?\", \"39 minutes\"], [\"who did I talk to on 2019/04/20?\", \"Piper\"], [\"Did I talk to Piper on 2019/04/20?\", \"yes\"], [\"Did I talk to anyone on 2019/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/21\": {\"exercise\": {\"eid\": \"e5995\", \"logical_representation\": [\"2019/04/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/04/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e5996\", \"logical_representation\": [\"2019/04/21\", \"Rylee, Kinsley, Lydia\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Rylee, Kinsley, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Lydia late in the evening on 2019/04/21?\", \"21 minutes\"], [\"who did I talk to on 2019/04/21?\", \"Rylee, Kinsley, Lydia\"], [\"Did I talk to Rylee, Kinsley, Lydia on 2019/04/21?\", \"yes\"], [\"Did I talk to anyone on 2019/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e5997\", \"logical_representation\": [\"2019/04/21\", \"a documentary\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/21?\", \"40 minutes\"], [\"what did I watch on tv on 2019/04/21?\", \"a documentary\"], [\"Did I watch tv on 2019/04/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/22\": {\"exercise\": {\"eid\": \"e5998\", \"logical_representation\": [\"2019/04/22\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/04/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/22?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e5999\", \"logical_representation\": [\"2019/04/22\", \"lunch\", \"steak\", \"Nevaeh, Piper, Lydia, Rylee, Piper, Kinsley, Claire, Layla, Eva, Olivia, Nora, Avery, Hazel\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/04/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6000\", \"logical_representation\": [\"2019/04/22\", \"dinner\", \"tacos\", \"Claire, Nora, Kinsley, Nevaeh, Piper, Rylee, Piper, Eva, Layla, Lydia, Avery, Hazel\"], \"text_template_based\": \"I had dinner with Claire, Nora, Kinsley, Nevaeh, Piper, Rylee, Piper, Eva, Layla, Lydia, Avery, Hazel. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/04/22?\", \"Claire, Nora, Kinsley, Nevaeh, Piper, Rylee, Piper, Eva, Layla, Lydia, Avery, Hazel\"], [\"what did I eat for dinner on 2019/04/22\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2019/04/23\": {\"chat0\": {\"eid\": \"e6001\", \"logical_representation\": [\"2019/04/23\", \"Piper\", \"in the early afternoon\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2019/04/23?\", \"41 minutes\"], [\"who did I talk to on 2019/04/23?\", \"Piper\"], [\"Did I talk to Piper on 2019/04/23?\", \"yes\"], [\"Did I talk to anyone on 2019/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6002\", \"logical_representation\": [\"2019/04/23\", \"a documentary\", \"46 minutes\"], \"text_template_based\": \"I watched a documentary for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/23?\", \"46 minutes\"], [\"what did I watch on tv on 2019/04/23?\", \"a documentary\"], [\"Did I watch tv on 2019/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/24\": {\"chat0\": {\"eid\": \"e6003\", \"logical_representation\": [\"2019/04/24\", \"Nora, Lydia, Rylee\", \"in the early afternoon\", \"7 minutes\"], \"text_template_based\": \"I talked to Nora, Lydia, Rylee for 7 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Rylee in the early afternoon on 2019/04/24?\", \"7 minutes\"], [\"who did I talk to on 2019/04/24?\", \"Nora, Lydia, Rylee\"], [\"Did I talk to Nora, Lydia, Rylee on 2019/04/24?\", \"yes\"], [\"Did I talk to anyone on 2019/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/25\": {\"chat0\": {\"eid\": \"e6004\", \"logical_representation\": [\"2019/04/25\", \"Claire, Olivia, Avery\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Claire, Olivia, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Avery in the early evening on 2019/04/25?\", \"10 minutes\"], [\"who did I talk to on 2019/04/25?\", \"Claire, Olivia, Avery\"], [\"Did I talk to Claire, Olivia, Avery on 2019/04/25?\", \"yes\"], [\"Did I talk to anyone on 2019/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6005\", \"logical_representation\": [\"2019/04/25\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/25?\", \"12 minutes\"], [\"what did I watch on tv on 2019/04/25?\", \"news\"], [\"Did I watch tv on 2019/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/26\": {\"breakfast\": {\"eid\": \"e6006\", \"logical_representation\": [\"2019/04/26\", \"breakfast\", \"toast and cheese\", \"Eva, Kinsley, Olivia, Lydia, Claire, Piper, Piper, Rylee, Nevaeh, Layla, Nora, Hazel, Avery\"], \"text_template_based\": \"I had toast and cheese for breakfast with Eva, Kinsley, Olivia, Lydia, Claire, Piper, Piper, Rylee, Nevaeh, Layla, Nora, Hazel, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/04/26?\", \"Eva, Kinsley, Olivia, Lydia, Claire, Piper, Piper, Rylee, Nevaeh, Layla, Nora, Hazel, Avery\"], [\"what did I eat for breakfast on 2019/04/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6007\", \"logical_representation\": [\"2019/04/26\", \"lunch\", \"sandwich\", \"Piper, Piper, Olivia, Lydia, Nevaeh\"], \"text_template_based\": \"I had sandwich for lunch with Piper, Piper, Olivia, Lydia, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/04/26?\", \"Piper, Piper, Olivia, Lydia, Nevaeh\"], [\"what did I eat for lunch on 2019/04/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6008\", \"logical_representation\": [\"2019/04/26\", \"dinner\", \"indian food\", \"Lydia, Layla, Olivia, Hazel, Rylee, Piper, Nevaeh\"], \"text_template_based\": \"I had indian food for dinner with Lydia, Layla, Olivia, Hazel, Rylee, Piper, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/04/26?\", \"Lydia, Layla, Olivia, Hazel, Rylee, Piper, Nevaeh\"], [\"what did I eat for dinner on 2019/04/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6009\", \"logical_representation\": [\"2019/04/26\", \"Lydia, Avery, Layla\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery, Layla for 49 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Layla in the early evening on 2019/04/26?\", \"49 minutes\"], [\"who did I talk to on 2019/04/26?\", \"Lydia, Avery, Layla\"], [\"Did I talk to Lydia, Avery, Layla on 2019/04/26?\", \"yes\"], [\"Did I talk to anyone on 2019/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/27\": {\"dinner\": {\"eid\": \"e6010\", \"logical_representation\": [\"2019/04/27\", \"dinner\", \"sushi\", \"Jackson, Willow, Benjamin\"], \"text_template_based\": \"I had sushi for dinner with Jackson, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/04/27?\", \"Jackson, Willow, Benjamin\"], [\"what did I eat for dinner on 2019/04/27\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6011\", \"logical_representation\": [\"2019/04/27\", \"Kinsley, Olivia\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Kinsley, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia late in the evening on 2019/04/27?\", \"53 minutes\"], [\"who did I talk to on 2019/04/27?\", \"Kinsley, Olivia\"], [\"Did I talk to Kinsley, Olivia on 2019/04/27?\", \"yes\"], [\"Did I talk to anyone on 2019/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6012\", \"logical_representation\": [\"2019/04/27\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/27?\", \"37 minutes\"], [\"what did I watch on tv on 2019/04/27?\", \"a documentary\"], [\"Did I watch tv on 2019/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/28\": {\"exercise\": {\"eid\": \"e6013\", \"logical_representation\": [\"2019/04/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/04/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/04/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6014\", \"logical_representation\": [\"2019/04/28\", \"Piper, Claire, Avery\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Avery for 20 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Avery in the early afternoon on 2019/04/28?\", \"20 minutes\"], [\"who did I talk to on 2019/04/28?\", \"Piper, Claire, Avery\"], [\"Did I talk to Piper, Claire, Avery on 2019/04/28?\", \"yes\"], [\"Did I talk to anyone on 2019/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/29\": {\"watch tv\": {\"eid\": \"e6015\", \"logical_representation\": [\"2019/04/29\", \"a documentary\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/04/29?\", \"25 minutes\"], [\"what did I watch on tv on 2019/04/29?\", \"a documentary\"], [\"Did I watch tv on 2019/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/04/30\": {\"read\": {\"eid\": \"e6016\", \"logical_representation\": [\"2019/04/30\", \"news\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/04/30?\", \"14 minutes\"], [\"what did I read on 2019/04/30?\", \"news\"], [\"Did I read on 2019/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/01\": {\"breakfast\": {\"eid\": \"e6017\", \"logical_representation\": [\"2019/05/01\", \"breakfast\", \"pancakes\", \"Piper, Piper, Lydia, Olivia, Rylee, Nora, Avery, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6018\", \"logical_representation\": [\"2019/05/01\", \"dinner\", \"tacos\", \"Emily, Andrew\"], \"text_template_based\": \"I had tacos for dinner with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/01?\", \"Emily, Andrew\"], [\"what did I eat for dinner on 2019/05/01\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2019/05/03\": {\"breakfast\": {\"eid\": \"e6021\", \"logical_representation\": [\"2019/05/03\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/05/03?\", \"Kayden\"], [\"what did I eat for breakfast on 2019/05/03\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2019/05/04\": {\"dinner\": {\"eid\": \"e6022\", \"logical_representation\": [\"2019/05/04\", \"dinner\", \"sandwich\", \"Lydia, Olivia, Piper, Hazel, Nora, Nevaeh, Rylee, Claire, Kinsley\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/05/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6023\", \"logical_representation\": [\"2019/05/04\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/04?\", \"21 minutes\"], [\"what did I watch on tv on 2019/05/04?\", \"a tv series\"], [\"Did I watch tv on 2019/05/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/06\": {\"breakfast\": {\"eid\": \"e6025\", \"logical_representation\": [\"2019/05/06\", \"breakfast\", \"peanut-butter-jam\", \"Jackson\"], \"text_template_based\": \"I had breakfast with Jackson. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/05/06?\", \"Jackson\"], [\"what did I eat for breakfast on 2019/05/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6026\", \"logical_representation\": [\"2019/05/06\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/05/06?\", \"11 minutes\"], [\"what did I read on 2019/05/06?\", \"a book\"], [\"Did I read on 2019/05/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/08\": {\"lunch\": {\"eid\": \"e6028\", \"logical_representation\": [\"2019/05/08\", \"lunch\", \"a burger\", \"Kinsley, Nora\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/05/08\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6029\", \"logical_representation\": [\"2019/05/08\", \"dinner\", \"tacos\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/05/08\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2019/05/09\": {\"exercise\": {\"eid\": \"e6030\", \"logical_representation\": [\"2019/05/09\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/05/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/09?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2019/05/11\": {\"breakfast\": {\"eid\": \"e6033\", \"logical_representation\": [\"2019/05/11\", \"breakfast\", \"toast and cheese\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/05/11?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for breakfast on 2019/05/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6034\", \"logical_representation\": [\"2019/05/11\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/05/11?\", \"12 minutes\"], [\"what did I read on 2019/05/11?\", \"social media\"], [\"Did I read on 2019/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6035\", \"logical_representation\": [\"2019/05/11\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I watched a movie for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/11?\", \"53 minutes\"], [\"what did I watch on tv on 2019/05/11?\", \"a movie\"], [\"Did I watch tv on 2019/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/12\": {\"chat0\": {\"eid\": \"e6036\", \"logical_representation\": [\"2019/05/12\", \"Lydia, Piper, Olivia\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Lydia, Piper, Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper, Olivia in the late afternoon on 2019/05/12?\", \"12 minutes\"], [\"who did I talk to on 2019/05/12?\", \"Lydia, Piper, Olivia\"], [\"Did I talk to Lydia, Piper, Olivia on 2019/05/12?\", \"yes\"], [\"Did I talk to anyone on 2019/05/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/13\": {\"breakfast\": {\"eid\": \"e6037\", \"logical_representation\": [\"2019/05/13\", \"breakfast\", \"cereals\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had breakfast with Benjamin, Willow, Jackson. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/05/13?\", \"Benjamin, Willow, Jackson\"], [\"what did I eat for breakfast on 2019/05/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6038\", \"logical_representation\": [\"2019/05/13\", \"a tv series\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/13?\", \"27 minutes\"], [\"what did I watch on tv on 2019/05/13?\", \"a tv series\"], [\"Did I watch tv on 2019/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/15\": {\"dinner\": {\"eid\": \"e6039\", \"logical_representation\": [\"2019/05/15\", \"dinner\", \"steak\", \"Hazel, Olivia, Piper, Rylee, Nora, Lydia, Eva, Claire, Avery, Nevaeh, Layla, Kinsley\"], \"text_template_based\": \"I had dinner with Hazel, Olivia, Piper, Rylee, Nora, Lydia, Eva, Claire, Avery, Nevaeh, Layla, Kinsley. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/15?\", \"Hazel, Olivia, Piper, Rylee, Nora, Lydia, Eva, Claire, Avery, Nevaeh, Layla, Kinsley\"], [\"what did I eat for dinner on 2019/05/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6040\", \"logical_representation\": [\"2019/05/15\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/05/15?\", \"47 minutes\"], [\"what did I read on 2019/05/15?\", \"news\"], [\"Did I read on 2019/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6041\", \"logical_representation\": [\"2019/05/15\", \"a tv series\", \"16 minutes\"], \"text_template_based\": \"I watched a tv series for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/15?\", \"16 minutes\"], [\"what did I watch on tv on 2019/05/15?\", \"a tv series\"], [\"Did I watch tv on 2019/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/17\": {\"watch tv\": {\"eid\": \"e6042\", \"logical_representation\": [\"2019/05/17\", \"a tv series\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/17?\", \"32 minutes\"], [\"what did I watch on tv on 2019/05/17?\", \"a tv series\"], [\"Did I watch tv on 2019/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/18\": {\"breakfast\": {\"eid\": \"e6043\", \"logical_representation\": [\"2019/05/18\", \"breakfast\", \"cereals\", \"Jackson, Benjamin\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6044\", \"logical_representation\": [\"2019/05/18\", \"lunch\", \"a burger\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/05/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6045\", \"logical_representation\": [\"2019/05/18\", \"Kinsley\", \"during lunch hours\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2019/05/18?\", \"45 minutes\"], [\"who did I talk to on 2019/05/18?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2019/05/18?\", \"yes\"], [\"Did I talk to anyone on 2019/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/19\": {\"breakfast\": {\"eid\": \"e6046\", \"logical_representation\": [\"2019/05/19\", \"breakfast\", \"pancakes\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6047\", \"logical_representation\": [\"2019/05/19\", \"dinner\", \"fish and chips\", \"Carter, Emily\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/05/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2019/05/21\": {\"exercise\": {\"eid\": \"e6048\", \"logical_representation\": [\"2019/05/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/05/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6049\", \"logical_representation\": [\"2019/05/21\", \"lunch\", \"sushi\", \"Claire, Rylee, Eva, Nora, Nevaeh, Layla, Lydia\"], \"text_template_based\": \"I had sushi for lunch with Claire, Rylee, Eva, Nora, Nevaeh, Layla, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/05/21?\", \"Claire, Rylee, Eva, Nora, Nevaeh, Layla, Lydia\"], [\"what did I eat for lunch on 2019/05/21\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6050\", \"logical_representation\": [\"2019/05/21\", \"dinner\", \"sandwich\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/05/21?\", \"Kayden\"], [\"what did I eat for dinner on 2019/05/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2019/05/23\": {\"breakfast\": {\"eid\": \"e6051\", \"logical_representation\": [\"2019/05/23\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Carter\"], \"text_template_based\": \"I had breakfast with Emily, Kayden, Carter. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/05/23?\", \"Emily, Kayden, Carter\"], [\"what did I eat for breakfast on 2019/05/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6052\", \"logical_representation\": [\"2019/05/23\", \"a book\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/05/23?\", \"45 minutes\"], [\"what did I read on 2019/05/23?\", \"a book\"], [\"Did I read on 2019/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/26\": {\"exercise\": {\"eid\": \"e6053\", \"logical_representation\": [\"2019/05/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/05/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/05/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6054\", \"logical_representation\": [\"2019/05/26\", \"Hazel, Olivia, Piper, Lydia\", \"in the morning\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Hazel, Olivia, Piper, Lydia on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia, Piper, Lydia in the morning on 2019/05/26?\", \"26 minutes\"], [\"who did I talk to on 2019/05/26?\", \"Hazel, Olivia, Piper, Lydia\"], [\"Did I talk to Hazel, Olivia, Piper, Lydia on 2019/05/26?\", \"yes\"], [\"Did I talk to anyone on 2019/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6055\", \"logical_representation\": [\"2019/05/26\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/05/26?\", \"41 minutes\"], [\"what did I read on 2019/05/26?\", \"a book\"], [\"Did I read on 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2019/05/27?\", \"47 minutes\"], [\"what did I read on 2019/05/27?\", \"news\"], [\"Did I read on 2019/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6058\", \"logical_representation\": [\"2019/05/27\", \"a movie\", \"8 minutes\"], \"text_template_based\": \"I watched a movie for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/27?\", \"8 minutes\"], [\"what did I watch on tv on 2019/05/27?\", \"a movie\"], [\"Did I watch tv on 2019/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/28\": {\"breakfast\": {\"eid\": \"e6059\", \"logical_representation\": [\"2019/05/28\", \"breakfast\", \"cereals\", \"Emily, Andrew\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/28\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2019/05/29\": {\"breakfast\": {\"eid\": \"e6060\", \"logical_representation\": [\"2019/05/29\", \"breakfast\", \"oatmeal\", \"Avery, Jackson\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/05/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6061\", \"logical_representation\": [\"2019/05/29\", \"Eva, Kinsley\", \"in the morning\", \"12 minutes\"], \"text_template_based\": \"I talked to Eva, Kinsley for 12 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Kinsley in the morning on 2019/05/29?\", \"12 minutes\"], [\"who did I talk to on 2019/05/29?\", \"Eva, Kinsley\"], [\"Did I talk to Eva, Kinsley on 2019/05/29?\", \"yes\"], [\"Did I talk to anyone on 2019/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/05/31\": {\"watch tv\": {\"eid\": \"e6063\", \"logical_representation\": [\"2019/05/31\", \"a documentary\", \"45 minutes\"], \"text_template_based\": \"I watched a documentary for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/05/31?\", \"45 minutes\"], [\"what did I watch on tv on 2019/05/31?\", \"a documentary\"], [\"Did I watch tv on 2019/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/02\": {\"lunch\": {\"eid\": \"e6065\", \"logical_representation\": [\"2019/06/02\", \"lunch\", \"steak\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/06/02\", \"steak\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6066\", \"logical_representation\": [\"2019/06/02\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/06/02?\", \"49 minutes\"], [\"what did I read on 2019/06/02?\", \"social media\"], [\"Did I read on 2019/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/03\": {\"exercise\": {\"eid\": \"e6067\", \"logical_representation\": [\"2019/06/03\", \"running\"], \"text_template_based\": \"I did running on 2019/06/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6068\", \"logical_representation\": [\"2019/06/03\", \"breakfast\", \"cereals\", \"Piper, Rylee\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/06/03\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2019/06/04\": {\"lunch\": {\"eid\": \"e6069\", \"logical_representation\": [\"2019/06/04\", \"lunch\", \"pasta\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/06/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6070\", \"logical_representation\": [\"2019/06/04\", \"Olivia, Nora, Rylee, Claire\", \"in the morning\", \"40 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora, Rylee, Claire for 40 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora, Rylee, Claire in the morning on 2019/06/04?\", \"40 minutes\"], [\"who did I talk to on 2019/06/04?\", \"Olivia, Nora, Rylee, Claire\"], [\"Did I talk to Olivia, Nora, Rylee, Claire on 2019/06/04?\", \"yes\"], [\"Did I talk to anyone on 2019/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6071\", \"logical_representation\": [\"2019/06/04\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/06/04?\", \"29 minutes\"], [\"what did I read on 2019/06/04?\", \"social media\"], [\"Did I read on 2019/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/05\": {\"dinner\": {\"eid\": \"e6072\", \"logical_representation\": [\"2019/06/05\", \"dinner\", \"sushi\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/06/05\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2019/06/07\": {\"lunch\": {\"eid\": \"e6073\", \"logical_representation\": [\"2019/06/07\", \"lunch\", \"pasta\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/06/07\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2019/06/08\": {\"breakfast\": {\"eid\": \"e6074\", \"logical_representation\": [\"2019/06/08\", \"breakfast\", \"cereals\", \"Willow\"], \"text_template_based\": \"I had breakfast with Willow. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/06/08?\", \"Willow\"], [\"what did I eat for breakfast on 2019/06/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6075\", \"logical_representation\": [\"2019/06/08\", \"dinner\", \"steak\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/06/08\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2019/06/09\": {\"breakfast\": {\"eid\": \"e6076\", \"logical_representation\": [\"2019/06/09\", \"breakfast\", \"oatmeal\", \"Kayden, Carter, Andrew\"], \"text_template_based\": \"I had oatmeal for breakfast with Kayden, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/06/09?\", \"Kayden, Carter, Andrew\"], [\"what did I eat for breakfast on 2019/06/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6077\", \"logical_representation\": [\"2019/06/09\", \"dinner\", \"chinese food\", \"Emily, Andrew\"], \"text_template_based\": \"I had chinese food for dinner with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/06/09?\", \"Emily, Andrew\"], [\"what did I eat for dinner on 2019/06/09\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2019/06/10\": {\"watch tv\": {\"eid\": \"e6078\", \"logical_representation\": [\"2019/06/10\", \"a documentary\", \"12 minutes\"], \"text_template_based\": \"I watched a documentary for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/10?\", \"12 minutes\"], [\"what did I watch on tv on 2019/06/10?\", \"a documentary\"], [\"Did I watch tv on 2019/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/11\": {\"chat0\": {\"eid\": \"e6079\", \"logical_representation\": [\"2019/06/11\", \"Claire, Avery, Hazel\", \"late in the evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Claire, Avery, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Hazel late in the evening on 2019/06/11?\", \"43 minutes\"], [\"who did I talk to on 2019/06/11?\", \"Claire, Avery, Hazel\"], [\"Did I talk to Claire, Avery, Hazel on 2019/06/11?\", \"yes\"], [\"Did I talk to anyone on 2019/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6080\", \"logical_representation\": [\"2019/06/11\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/06/11?\", \"10 minutes\"], [\"what did I read on 2019/06/11?\", \"news\"], [\"Did I read on 2019/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/12\": {\"exercise\": {\"eid\": \"e6081\", \"logical_representation\": [\"2019/06/12\", \"running\"], \"text_template_based\": \"I did running on 2019/06/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/12?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6082\", \"logical_representation\": [\"2019/06/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I had breakfast with Benjamin. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/06/12?\", \"Benjamin\"], [\"what did I eat for breakfast on 2019/06/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2019/06/13\": {\"chat0\": {\"eid\": \"e6083\", \"logical_representation\": [\"2019/06/13\", \"Piper, Lydia, Hazel\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Hazel for 6 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Hazel in the late afternoon on 2019/06/13?\", \"6 minutes\"], [\"who did I talk to on 2019/06/13?\", \"Piper, Lydia, Hazel\"], [\"Did I talk to Piper, Lydia, Hazel on 2019/06/13?\", \"yes\"], [\"Did I talk to anyone on 2019/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/14\": {\"exercise\": {\"eid\": \"e6084\", \"logical_representation\": [\"2019/06/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/06/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6085\", \"logical_representation\": [\"2019/06/14\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/06/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6086\", \"logical_representation\": [\"2019/06/14\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/06/14?\", \"Kayden\"], [\"what did I eat for dinner on 2019/06/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6087\", \"logical_representation\": [\"2019/06/14\", \"Hazel, Lydia, Kinsley, Eva\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I talked to Hazel, Lydia, Kinsley, Eva for 52 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia, Kinsley, Eva in the early evening on 2019/06/14?\", \"52 minutes\"], [\"who did I talk to on 2019/06/14?\", \"Hazel, Lydia, Kinsley, Eva\"], [\"Did I talk to Hazel, Lydia, Kinsley, Eva on 2019/06/14?\", \"yes\"], [\"Did I talk to anyone on 2019/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/15\": {\"breakfast\": {\"eid\": \"e6088\", \"logical_representation\": [\"2019/06/15\", \"breakfast\", \"toast and cheese\", \"Benjamin\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/06/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6089\", \"logical_representation\": [\"2019/06/15\", \"a movie\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/15?\", \"6 minutes\"], [\"what did I watch on tv on 2019/06/15?\", \"a movie\"], [\"Did I watch tv on 2019/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/16\": {\"dinner\": {\"eid\": \"e6090\", \"logical_representation\": [\"2019/06/16\", \"dinner\", \"steak\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/06/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6091\", \"logical_representation\": [\"2019/06/16\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/06/16?\", \"6 minutes\"], [\"what did I read on 2019/06/16?\", \"news\"], [\"Did I read on 2019/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6092\", \"logical_representation\": [\"2019/06/16\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/16?\", \"46 minutes\"], [\"what did I watch on tv on 2019/06/16?\", \"news\"], [\"Did I watch tv on 2019/06/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/19\": {\"chat0\": {\"eid\": \"e6095\", \"logical_representation\": [\"2019/06/19\", \"Rylee\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee late in the evening on 2019/06/19?\", \"31 minutes\"], [\"who did I talk to on 2019/06/19?\", \"Rylee\"], [\"Did I talk to Rylee on 2019/06/19?\", \"yes\"], [\"Did I talk to anyone on 2019/06/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/23\": {\"watch tv\": {\"eid\": \"e6100\", \"logical_representation\": [\"2019/06/23\", \"a tv series\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/06/23?\", \"36 minutes\"], [\"what did I watch on tv on 2019/06/23?\", \"a tv series\"], [\"Did I watch tv on 2019/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/25\": {\"exercise\": {\"eid\": \"e6101\", \"logical_representation\": [\"2019/06/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6102\", \"logical_representation\": [\"2019/06/25\", \"Hazel, Layla\", \"in the morning\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Hazel, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla in the morning on 2019/06/25?\", \"22 minutes\"], [\"who did I talk to on 2019/06/25?\", \"Hazel, Layla\"], [\"Did I talk to Hazel, Layla on 2019/06/25?\", \"yes\"], [\"Did I talk to anyone on 2019/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6103\", \"logical_representation\": [\"2019/06/25\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/06/25?\", \"17 minutes\"], [\"what did I read on 2019/06/25?\", \"a book\"], [\"Did I read on 2019/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/06/27\": {\"exercise\": {\"eid\": \"e6105\", \"logical_representation\": [\"2019/06/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/06/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/06/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6106\", \"logical_representation\": [\"2019/06/27\", \"lunch\", \"fish and chips\", \"Benjamin\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/06/27\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2019/07/01\": {\"dinner\": {\"eid\": \"e6108\", \"logical_representation\": [\"2019/07/01\", \"dinner\", \"fish and chips\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/01\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2019/07/02\": {\"breakfast\": {\"eid\": \"e6109\", \"logical_representation\": [\"2019/07/02\", \"breakfast\", \"cereals\", \"Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/07/02?\", \"Kayden\"], [\"what did I eat for breakfast on 2019/07/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6110\", \"logical_representation\": [\"2019/07/02\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/07/02?\", \"24 minutes\"], [\"what did I read on 2019/07/02?\", \"news\"], [\"Did I read on 2019/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6111\", \"logical_representation\": [\"2019/07/02\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/02?\", \"22 minutes\"], [\"what did I watch on tv on 2019/07/02?\", \"news\"], [\"Did I watch tv on 2019/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/04\": {\"exercise\": {\"eid\": \"e6112\", \"logical_representation\": [\"2019/07/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/07/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2019/07/05\": {\"breakfast\": {\"eid\": \"e6113\", \"logical_representation\": [\"2019/07/05\", \"breakfast\", \"cereals\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had cereals for breakfast with Avery, Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/07/05?\", \"Avery, Benjamin, Willow\"], [\"what did I eat for breakfast on 2019/07/05\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2019/07/06\": {\"exercise\": {\"eid\": \"e6114\", \"logical_representation\": [\"2019/07/06\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/07/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/07/06?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6115\", \"logical_representation\": [\"2019/07/06\", \"dinner\", \"indian food\", \"Kinsley, Nora\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/06\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/07/07\": {\"chat0\": {\"eid\": \"e6116\", \"logical_representation\": [\"2019/07/07\", \"Olivia, Piper, Hazel, Kinsley\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Olivia, Piper, Hazel, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Hazel, Kinsley in the early evening on 2019/07/07?\", \"33 minutes\"], [\"who did I talk to on 2019/07/07?\", \"Olivia, Piper, Hazel, Kinsley\"], [\"Did I talk to Olivia, Piper, Hazel, Kinsley on 2019/07/07?\", \"yes\"], [\"Did I talk to anyone on 2019/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/10\": {\"chat0\": {\"eid\": \"e6120\", \"logical_representation\": [\"2019/07/10\", \"Kinsley, Avery, Olivia\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I talked to Kinsley, Avery, Olivia for 46 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Avery, Olivia in the morning on 2019/07/10?\", \"46 minutes\"], [\"who did I talk to on 2019/07/10?\", \"Kinsley, Avery, Olivia\"], [\"Did I talk to Kinsley, Avery, Olivia on 2019/07/10?\", \"yes\"], [\"Did I talk to anyone on 2019/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/11\": {\"chat0\": {\"eid\": \"e6121\", \"logical_representation\": [\"2019/07/11\", \"Eva, Rylee\", \"during lunch hours\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Eva, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee during lunch hours on 2019/07/11?\", \"47 minutes\"], [\"who did I talk to on 2019/07/11?\", \"Eva, Rylee\"], [\"Did I talk to Eva, Rylee on 2019/07/11?\", \"yes\"], [\"Did I talk to anyone on 2019/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/12\": {\"breakfast\": {\"eid\": \"e6122\", \"logical_representation\": [\"2019/07/12\", \"breakfast\", \"pancakes\", \"Nevaeh, Piper, Piper, Olivia\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/07/12\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6123\", \"logical_representation\": [\"2019/07/12\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/07/12?\", \"49 minutes\"], [\"what did I read on 2019/07/12?\", \"news\"], [\"Did I read on 2019/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6124\", \"logical_representation\": [\"2019/07/12\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/12?\", \"49 minutes\"], [\"what did I watch on tv on 2019/07/12?\", \"a tv series\"], [\"Did I watch tv on 2019/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/13\": {\"watch tv\": {\"eid\": \"e6125\", \"logical_representation\": [\"2019/07/13\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/13?\", \"15 minutes\"], [\"what did I watch on tv on 2019/07/13?\", \"news\"], [\"Did I watch tv on 2019/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/14\": {\"chat0\": {\"eid\": \"e6126\", \"logical_representation\": [\"2019/07/14\", \"Hazel, Piper\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Hazel, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper in the early evening on 2019/07/14?\", \"38 minutes\"], [\"who did I talk to on 2019/07/14?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2019/07/14?\", \"yes\"], [\"Did I talk to anyone on 2019/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/15\": {\"dinner\": {\"eid\": \"e6127\", \"logical_representation\": [\"2019/07/15\", \"dinner\", \"fish and chips\", \"Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6128\", \"logical_representation\": [\"2019/07/15\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/07/15?\", \"34 minutes\"], [\"what did I read on 2019/07/15?\", \"news\"], [\"Did I read on 2019/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6129\", \"logical_representation\": [\"2019/07/15\", \"news\", \"52 minutes\"], \"text_template_based\": \"I watched news for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/15?\", \"52 minutes\"], [\"what did I watch on tv on 2019/07/15?\", \"news\"], [\"Did I watch tv on 2019/07/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/16\": {\"read\": {\"eid\": \"e6130\", \"logical_representation\": [\"2019/07/16\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/07/16?\", \"52 minutes\"], [\"what did I read on 2019/07/16?\", \"news\"], [\"Did I read on 2019/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/17\": {\"dinner\": {\"eid\": \"e6131\", \"logical_representation\": [\"2019/07/17\", \"dinner\", \"steak\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/17\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6132\", \"logical_representation\": [\"2019/07/17\", \"news\", \"22 minutes\"], \"text_template_based\": \"I watched news for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/17?\", \"22 minutes\"], [\"what did I watch on tv on 2019/07/17?\", \"news\"], [\"Did I watch tv on 2019/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/19\": {\"breakfast\": {\"eid\": \"e6137\", \"logical_representation\": [\"2019/07/19\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/07/19?\", \"Kayden\"], [\"what did I eat for breakfast on 2019/07/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6138\", \"logical_representation\": [\"2019/07/19\", \"dinner\", \"fish and chips\", \"Nevaeh, Hazel, Nora, Avery, Layla, Olivia, Rylee, Kinsley, Piper, Lydia, Piper, Eva\"], \"text_template_based\": \"I had fish and chips for dinner with Nevaeh, Hazel, Nora, Avery, Layla, Olivia, Rylee, Kinsley, Piper, Lydia, Piper, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/07/19?\", \"Nevaeh, Hazel, Nora, Avery, Layla, Olivia, Rylee, Kinsley, Piper, Lydia, Piper, Eva\"], [\"what did I eat for dinner on 2019/07/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6139\", \"logical_representation\": [\"2019/07/19\", \"Piper, Rylee, Eva, Claire\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Piper, Rylee, Eva, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Eva, Claire during lunch hours on 2019/07/19?\", \"11 minutes\"], [\"who did I talk to on 2019/07/19?\", \"Piper, Rylee, Eva, Claire\"], [\"Did I talk to Piper, Rylee, Eva, Claire on 2019/07/19?\", \"yes\"], [\"Did I talk to anyone on 2019/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6140\", \"logical_representation\": [\"2019/07/19\", \"a book\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/07/19?\", \"29 minutes\"], [\"what did I read on 2019/07/19?\", \"a book\"], [\"Did I read on 2019/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/21\": {\"chat0\": {\"eid\": \"e6142\", \"logical_representation\": [\"2019/07/21\", \"Olivia, Avery, Piper\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Olivia, Avery, Piper for 55 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Piper late in the evening on 2019/07/21?\", \"55 minutes\"], [\"who did I talk to on 2019/07/21?\", \"Olivia, Avery, Piper\"], [\"Did I talk to Olivia, Avery, Piper on 2019/07/21?\", \"yes\"], [\"Did I talk to anyone on 2019/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/23\": {\"dinner\": {\"eid\": \"e6146\", \"logical_representation\": [\"2019/07/23\", \"dinner\", \"steak\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/07/23?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for dinner on 2019/07/23\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6147\", \"logical_representation\": [\"2019/07/23\", \"Kinsley, Claire, Piper\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire, Piper for 17 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Piper in the late afternoon on 2019/07/23?\", \"17 minutes\"], [\"who did I talk to on 2019/07/23?\", \"Kinsley, Claire, Piper\"], [\"Did I talk to Kinsley, Claire, Piper on 2019/07/23?\", \"yes\"], [\"Did I talk to anyone on 2019/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/24\": {\"dinner\": {\"eid\": \"e6148\", \"logical_representation\": [\"2019/07/24\", \"dinner\", \"indian food\", \"Kinsley, Nora, Piper, Layla\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/07/24\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/07/25\": {\"lunch\": {\"eid\": \"e6149\", \"logical_representation\": [\"2019/07/25\", \"lunch\", \"chinese food\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/07/25\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6150\", \"logical_representation\": [\"2019/07/25\", \"Lydia, Nora, Nevaeh\", \"late in the evening\", \"48 minutes\"], \"text_template_based\": \"I talked to Lydia, Nora, Nevaeh for 48 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Nevaeh late in the evening on 2019/07/25?\", \"48 minutes\"], [\"who did I talk to on 2019/07/25?\", \"Lydia, Nora, Nevaeh\"], [\"Did I talk to Lydia, Nora, Nevaeh on 2019/07/25?\", \"yes\"], [\"Did I talk to anyone on 2019/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6151\", \"logical_representation\": [\"2019/07/25\", \"news\", \"41 minutes\"], \"text_template_based\": \"I watched news for 41 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/25?\", \"41 minutes\"], [\"what did I watch on tv on 2019/07/25?\", \"news\"], [\"Did I watch tv on 2019/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/26\": {\"breakfast\": {\"eid\": \"e6152\", \"logical_representation\": [\"2019/07/26\", \"breakfast\", \"pancakes\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Andrew, Emily, Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/07/26?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2019/07/26\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6153\", \"logical_representation\": [\"2019/07/26\", \"Lydia, Rylee, Piper\", \"in the early evening\", \"44 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee, Piper for 44 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee, Piper in the early evening on 2019/07/26?\", \"44 minutes\"], [\"who did I talk to on 2019/07/26?\", \"Lydia, Rylee, Piper\"], [\"Did I talk to Lydia, Rylee, Piper on 2019/07/26?\", \"yes\"], [\"Did I talk to anyone on 2019/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/27\": {\"chat0\": {\"eid\": \"e6154\", \"logical_representation\": [\"2019/07/27\", \"Hazel, Claire\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Hazel, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire in the late afternoon on 2019/07/27?\", \"49 minutes\"], [\"who did I talk to on 2019/07/27?\", \"Hazel, Claire\"], [\"Did I talk to Hazel, Claire on 2019/07/27?\", \"yes\"], [\"Did I talk to anyone on 2019/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6155\", \"logical_representation\": [\"2019/07/27\", \"a tv series\", \"52 minutes\"], \"text_template_based\": \"I watched a tv series for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/07/27?\", \"52 minutes\"], [\"what did I watch on tv on 2019/07/27?\", \"a tv series\"], [\"Did I watch tv on 2019/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/29\": {\"lunch\": {\"eid\": \"e6156\", \"logical_representation\": [\"2019/07/29\", \"lunch\", \"fish and chips\", \"Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/07/29?\", \"Kayden, Andrew\"], [\"what did I eat for lunch on 2019/07/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2019/07/30\": {\"chat0\": {\"eid\": \"e6157\", \"logical_representation\": [\"2019/07/30\", \"Rylee, Piper, Olivia, Piper\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Rylee, Piper, Olivia, Piper for 10 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Olivia, Piper in the early afternoon on 2019/07/30?\", \"10 minutes\"], [\"who did I talk to on 2019/07/30?\", \"Rylee, Piper, Olivia, Piper\"], [\"Did I talk to Rylee, Piper, Olivia, Piper on 2019/07/30?\", \"yes\"], [\"Did I talk to anyone on 2019/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6158\", \"logical_representation\": [\"2019/07/30\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/07/30?\", \"36 minutes\"], [\"what did I read on 2019/07/30?\", \"a book\"], [\"Did I read on 2019/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/07/31\": {\"dinner\": {\"eid\": \"e6159\", \"logical_representation\": [\"2019/07/31\", \"dinner\", \"tacos\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had dinner with Avery, Jackson, Benjamin. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/07/31?\", \"Avery, Jackson, Benjamin\"], [\"what did I eat for dinner on 2019/07/31\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6160\", \"logical_representation\": [\"2019/07/31\", \"Nevaeh\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Nevaeh for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the morning on 2019/07/31?\", \"45 minutes\"], [\"who did I talk to on 2019/07/31?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2019/07/31?\", \"yes\"], [\"Did I talk to anyone on 2019/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/01\": {\"breakfast\": {\"eid\": \"e6161\", \"logical_representation\": [\"2019/08/01\", \"breakfast\", \"cereals\", \"Nora, Rylee, Piper, Claire\"], \"text_template_based\": \"I had breakfast with Nora, Rylee, Piper, Claire. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/08/01?\", \"Nora, Rylee, Piper, Claire\"], [\"what did I eat for breakfast on 2019/08/01\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6162\", \"logical_representation\": [\"2019/08/01\", \"lunch\", \"chinese food\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/08/01\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6163\", \"logical_representation\": [\"2019/08/01\", \"Lydia\", \"late in the evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Lydia for 34 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2019/08/01?\", \"34 minutes\"], [\"who did I talk to on 2019/08/01?\", \"Lydia\"], [\"Did I talk to Lydia on 2019/08/01?\", \"yes\"], [\"Did I talk to anyone on 2019/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/02\": {\"breakfast\": {\"eid\": \"e6164\", \"logical_representation\": [\"2019/08/02\", \"breakfast\", \"oatmeal\", \"Willow\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/08/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6165\", \"logical_representation\": [\"2019/08/02\", \"Olivia, Claire, Layla\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Olivia, Claire, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire, Layla in the late afternoon on 2019/08/02?\", \"12 minutes\"], [\"who did I talk to on 2019/08/02?\", \"Olivia, Claire, Layla\"], [\"Did I talk to Olivia, Claire, Layla on 2019/08/02?\", \"yes\"], [\"Did I talk to anyone on 2019/08/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/03\": {\"exercise\": {\"eid\": \"e6166\", \"logical_representation\": [\"2019/08/03\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/08/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/03?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6167\", \"logical_representation\": [\"2019/08/03\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/08/03?\", \"25 minutes\"], [\"what did I read on 2019/08/03?\", \"news\"], [\"Did I read on 2019/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/04\": {\"breakfast\": {\"eid\": \"e6168\", \"logical_representation\": [\"2019/08/04\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/08/04?\", \"Emily\"], [\"what did I eat for breakfast on 2019/08/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6169\", \"logical_representation\": [\"2019/08/04\", \"lunch\", \"steak\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/08/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6170\", \"logical_representation\": [\"2019/08/04\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I watched a tv series for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/08/04?\", \"5 minutes\"], [\"what did I watch on tv on 2019/08/04?\", \"a tv series\"], [\"Did I watch tv on 2019/08/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/05\": {\"chat0\": {\"eid\": \"e6171\", \"logical_representation\": [\"2019/08/05\", \"Avery, Piper, Piper, Lydia\", \"in the morning\", \"18 minutes\"], \"text_template_based\": \"I talked to Avery, Piper, Piper, Lydia for 18 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Piper, Lydia in the morning on 2019/08/05?\", \"18 minutes\"], [\"who did I talk to on 2019/08/05?\", \"Avery, Piper, Piper, Lydia\"], [\"Did I talk to Avery, Piper, Piper, Lydia on 2019/08/05?\", \"yes\"], [\"Did I talk to anyone on 2019/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/07\": {\"breakfast\": {\"eid\": \"e6172\", \"logical_representation\": [\"2019/08/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Piper, Avery, Piper, Olivia, Kinsley, Lydia, Claire, Rylee\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/08/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6173\", \"logical_representation\": [\"2019/08/07\", \"dinner\", \"indian food\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/08/07\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/08/09\": {\"read\": {\"eid\": \"e6174\", \"logical_representation\": [\"2019/08/09\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/08/09?\", \"53 minutes\"], [\"what did I read on 2019/08/09?\", \"news\"], [\"Did I read on 2019/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/10\": {\"dinner\": {\"eid\": \"e6175\", \"logical_representation\": [\"2019/08/10\", \"dinner\", \"steak\", \"Eva, Lydia\"], \"text_template_based\": \"I had steak for dinner with Eva, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/08/10?\", \"Eva, Lydia\"], [\"what did I eat for dinner on 2019/08/10\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2019/08/11\": {\"exercise\": {\"eid\": \"e6176\", \"logical_representation\": [\"2019/08/11\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/08/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/11?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6177\", \"logical_representation\": [\"2019/08/11\", \"breakfast\", \"cereals\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/08/11\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2019/08/14\": {\"exercise\": {\"eid\": \"e6178\", \"logical_representation\": [\"2019/08/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/08/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6179\", \"logical_representation\": [\"2019/08/14\", \"lunch\", \"a burger\", \"Avery\"], \"text_template_based\": \"I had lunch with Avery. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/08/14?\", \"Avery\"], [\"what did I eat for lunch on 2019/08/14\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6180\", \"logical_representation\": [\"2019/08/14\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/08/14?\", \"29 minutes\"], [\"what did I watch on tv on 2019/08/14?\", \"a movie\"], [\"Did I watch tv on 2019/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/16\": {\"exercise\": {\"eid\": \"e6181\", \"logical_representation\": [\"2019/08/16\", \"biking\"], \"text_template_based\": \"I did biking on 2019/08/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6182\", \"logical_representation\": [\"2019/08/16\", \"lunch\", \"tacos\", \"Kayden, Andrew\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/08/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6183\", \"logical_representation\": [\"2019/08/16\", \"a tv series\", \"31 minutes\"], \"text_template_based\": \"I watched a tv series for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/08/16?\", \"31 minutes\"], [\"what did I watch on tv on 2019/08/16?\", \"a tv series\"], [\"Did I watch tv on 2019/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/17\": {\"chat0\": {\"eid\": \"e6184\", \"logical_representation\": [\"2019/08/17\", \"Olivia\", \"during lunch hours\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2019/08/17?\", \"43 minutes\"], [\"who did I talk to on 2019/08/17?\", \"Olivia\"], [\"Did I talk to Olivia on 2019/08/17?\", \"yes\"], [\"Did I talk to anyone on 2019/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6185\", \"logical_representation\": [\"2019/08/17\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/08/17?\", \"40 minutes\"], [\"what did I watch on tv on 2019/08/17?\", \"news\"], [\"Did I watch tv on 2019/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/18\": {\"dinner\": {\"eid\": \"e6186\", \"logical_representation\": [\"2019/08/18\", \"dinner\", \"tacos\", \"Avery, Layla, Piper, Olivia, Rylee, Kinsley, Nora\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/08/18\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2019/08/20\": {\"dinner\": {\"eid\": \"e6189\", \"logical_representation\": [\"2019/08/20\", \"dinner\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/08/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6190\", \"logical_representation\": [\"2019/08/20\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/08/20?\", \"47 minutes\"], [\"what did I read on 2019/08/20?\", \"social media\"], [\"Did I read on 2019/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/21\": {\"exercise\": {\"eid\": \"e6191\", \"logical_representation\": [\"2019/08/21\", \"running\"], \"text_template_based\": \"I did running on 2019/08/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/08/21?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2019/08/24\": {\"breakfast\": {\"eid\": \"e6192\", \"logical_representation\": [\"2019/08/24\", \"breakfast\", \"toast and cheese\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had toast and cheese for breakfast with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/08/24?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for breakfast on 2019/08/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6193\", \"logical_representation\": [\"2019/08/24\", \"lunch\", \"pasta\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/08/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6194\", \"logical_representation\": [\"2019/08/24\", \"Hazel\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I talked to Hazel for 7 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2019/08/24?\", \"7 minutes\"], [\"who did I talk to on 2019/08/24?\", \"Hazel\"], [\"Did I talk to Hazel on 2019/08/24?\", \"yes\"], [\"Did I talk to anyone on 2019/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6195\", \"logical_representation\": [\"2019/08/24\", \"a book\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/08/24?\", \"37 minutes\"], [\"what did I read on 2019/08/24?\", \"a book\"], [\"Did I read on 2019/08/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/25\": {\"dinner\": {\"eid\": \"e6196\", \"logical_representation\": [\"2019/08/25\", \"dinner\", \"pasta\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/08/25\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6197\", \"logical_representation\": [\"2019/08/25\", \"Layla\", \"in the late afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the late afternoon on 2019/08/25?\", \"26 minutes\"], [\"who did I talk to on 2019/08/25?\", \"Layla\"], [\"Did I talk to Layla on 2019/08/25?\", \"yes\"], [\"Did I talk to anyone on 2019/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/08/26\": {\"breakfast\": {\"eid\": \"e6198\", \"logical_representation\": [\"2019/08/26\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/08/26?\", \"Carter\"], [\"what did I eat for breakfast on 2019/08/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2019/08/27\": {\"lunch\": {\"eid\": \"e6199\", \"logical_representation\": [\"2019/08/27\", \"lunch\", \"a burger\", \"Carter, Emily\"], \"text_template_based\": \"I had lunch with Carter, Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/08/27?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2019/08/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6200\", \"logical_representation\": [\"2019/08/27\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/08/27?\", \"36 minutes\"], [\"what did I read on 2019/08/27?\", \"a book\"], [\"Did I read on 2019/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/01\": {\"lunch\": {\"eid\": \"e6203\", \"logical_representation\": [\"2019/09/01\", \"lunch\", \"tacos\", \"Jackson, Willow\"], \"text_template_based\": \"I had lunch with Jackson, Willow. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/09/01?\", \"Jackson, Willow\"], [\"what did I eat for lunch on 2019/09/01\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6204\", \"logical_representation\": [\"2019/09/01\", \"Avery, Layla, Nora\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Avery, Layla, Nora on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Nora in the late afternoon on 2019/09/01?\", \"37 minutes\"], [\"who did I talk to on 2019/09/01?\", \"Avery, Layla, Nora\"], [\"Did I talk to Avery, Layla, Nora on 2019/09/01?\", \"yes\"], [\"Did I talk to anyone on 2019/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/02\": {\"exercise\": {\"eid\": \"e6205\", \"logical_representation\": [\"2019/09/02\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/09/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/09/02?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6206\", \"logical_representation\": [\"2019/09/02\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/09/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6207\", \"logical_representation\": [\"2019/09/02\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/09/02?\", \"42 minutes\"], [\"what did I read on 2019/09/02?\", \"a book\"], [\"Did I read on 2019/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/04\": {\"dinner\": {\"eid\": \"e6208\", \"logical_representation\": [\"2019/09/04\", \"dinner\", \"steak\", \"Willow, Jackson, Benjamin\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/04\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6209\", \"logical_representation\": [\"2019/09/04\", \"Kinsley\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I talked to Kinsley for 44 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2019/09/04?\", \"44 minutes\"], [\"who did I talk to on 2019/09/04?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2019/09/04?\", \"yes\"], [\"Did I talk to anyone on 2019/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6210\", \"logical_representation\": [\"2019/09/04\", \"a movie\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/04?\", \"49 minutes\"], [\"what did I watch on tv on 2019/09/04?\", \"a movie\"], [\"Did I watch tv on 2019/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/06\": {\"read\": {\"eid\": \"e6214\", \"logical_representation\": [\"2019/09/06\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/09/06?\", \"32 minutes\"], [\"what did I read on 2019/09/06?\", \"a book\"], [\"Did I read on 2019/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/08\": {\"dinner\": {\"eid\": \"e6217\", \"logical_representation\": [\"2019/09/08\", \"dinner\", \"sandwich\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6218\", \"logical_representation\": [\"2019/09/08\", \"news\", \"5 minutes\"], \"text_template_based\": \"I watched news for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/08?\", \"5 minutes\"], [\"what did I watch on tv on 2019/09/08?\", \"news\"], [\"Did I watch tv on 2019/09/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/09\": {\"chat0\": {\"eid\": \"e6219\", \"logical_representation\": [\"2019/09/09\", \"Lydia, Hazel, Nevaeh, Nora\", \"in the early afternoon\", \"46 minutes\"], \"text_template_based\": \"I spent 46 talking to Lydia, Hazel, Nevaeh, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Nevaeh, Nora in the early afternoon on 2019/09/09?\", \"46 minutes\"], [\"who did I talk to on 2019/09/09?\", \"Lydia, Hazel, Nevaeh, Nora\"], [\"Did I talk to Lydia, Hazel, Nevaeh, Nora on 2019/09/09?\", \"yes\"], [\"Did I talk to anyone on 2019/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6220\", \"logical_representation\": [\"2019/09/09\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/09?\", \"22 minutes\"], [\"what did I watch on tv on 2019/09/09?\", \"news\"], [\"Did I watch tv on 2019/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/10\": {\"dinner\": {\"eid\": \"e6221\", \"logical_representation\": [\"2019/09/10\", \"dinner\", \"chinese food\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had chinese food for dinner with Andrew, Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/09/10?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for dinner on 2019/09/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6222\", \"logical_representation\": [\"2019/09/10\", \"Layla\", \"in the early evening\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2019/09/10?\", \"52 minutes\"], [\"who did I talk to on 2019/09/10?\", \"Layla\"], [\"Did I talk to Layla on 2019/09/10?\", \"yes\"], [\"Did I talk to anyone on 2019/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6223\", \"logical_representation\": [\"2019/09/10\", \"news\", \"29 minutes\"], \"text_template_based\": \"I watched news for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/10?\", \"29 minutes\"], [\"what did I watch on tv on 2019/09/10?\", \"news\"], [\"Did I watch tv on 2019/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/11\": {\"social media\": {\"eid\": \"e6224\", \"logical_representation\": [\"2019/09/11\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/09/11?\", \"29 minutes\"], [\"what did I read on 2019/09/11?\", \"social media\"], [\"Did I read on 2019/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/12\": {\"dinner\": {\"eid\": \"e6225\", \"logical_representation\": [\"2019/09/12\", \"dinner\", \"fish and chips\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/09/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2019/09/13\": {\"dinner\": {\"eid\": \"e6226\", \"logical_representation\": [\"2019/09/13\", \"dinner\", \"steak\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I had dinner with Jackson, Avery, Willow, Benjamin. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/09/13?\", \"Jackson, Avery, Willow, Benjamin\"], [\"what did I eat for dinner on 2019/09/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6227\", \"logical_representation\": [\"2019/09/13\", \"Olivia, Layla, Rylee, Kinsley\", \"in the early afternoon\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Olivia, Layla, Rylee, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Layla, Rylee, Kinsley in the early afternoon on 2019/09/13?\", \"11 minutes\"], [\"who did I talk to on 2019/09/13?\", \"Olivia, Layla, Rylee, Kinsley\"], [\"Did I talk to Olivia, Layla, Rylee, Kinsley on 2019/09/13?\", \"yes\"], [\"Did I talk to anyone on 2019/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/17\": {\"chat0\": {\"eid\": \"e6235\", \"logical_representation\": [\"2019/09/17\", \"Piper\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper late in the evening on 2019/09/17?\", \"31 minutes\"], [\"who did I talk to on 2019/09/17?\", \"Piper\"], [\"Did I talk to Piper on 2019/09/17?\", \"yes\"], [\"Did I talk to anyone on 2019/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/19\": {\"watch tv\": {\"eid\": \"e6238\", \"logical_representation\": [\"2019/09/19\", \"news\", \"26 minutes\"], \"text_template_based\": \"I watched news for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/19?\", \"26 minutes\"], [\"what did I watch on tv on 2019/09/19?\", \"news\"], [\"Did I watch tv on 2019/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/20\": {\"watch tv\": {\"eid\": \"e6239\", \"logical_representation\": [\"2019/09/20\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/20?\", \"7 minutes\"], [\"what did I watch on tv on 2019/09/20?\", \"news\"], [\"Did I watch tv on 2019/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/23\": {\"read\": {\"eid\": \"e6241\", \"logical_representation\": [\"2019/09/23\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/09/23?\", \"33 minutes\"], [\"what did I read on 2019/09/23?\", \"news\"], [\"Did I read on 2019/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/24\": {\"breakfast\": {\"eid\": \"e6242\", \"logical_representation\": [\"2019/09/24\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Hazel, Piper, Piper, Nora, Lydia, Kinsley\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/09/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6243\", \"logical_representation\": [\"2019/09/24\", \"Hazel\", \"in the late afternoon\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2019/09/24?\", \"12 minutes\"], [\"who did I talk to on 2019/09/24?\", \"Hazel\"], [\"Did I talk to Hazel on 2019/09/24?\", \"yes\"], [\"Did I talk to anyone on 2019/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/25\": {\"chat0\": {\"eid\": \"e6244\", \"logical_representation\": [\"2019/09/25\", \"Rylee, Kinsley, Avery, Lydia\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Rylee, Kinsley, Avery, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Avery, Lydia during lunch hours on 2019/09/25?\", \"37 minutes\"], [\"who did I talk to on 2019/09/25?\", \"Rylee, Kinsley, Avery, Lydia\"], [\"Did I talk to Rylee, Kinsley, Avery, Lydia on 2019/09/25?\", \"yes\"], [\"Did I talk to anyone on 2019/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/29\": {\"dinner\": {\"eid\": \"e6248\", \"logical_representation\": [\"2019/09/29\", \"dinner\", \"a burger\", \"Kinsley, Piper, Claire, Piper, Rylee, Nevaeh\"], \"text_template_based\": \"I had a burger for dinner with Kinsley, Piper, Claire, Piper, Rylee, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/09/29?\", \"Kinsley, Piper, Claire, Piper, Rylee, Nevaeh\"], [\"what did I eat for dinner on 2019/09/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6249\", \"logical_representation\": [\"2019/09/29\", \"a movie\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/09/29?\", \"54 minutes\"], [\"what did I watch on tv on 2019/09/29?\", \"a movie\"], [\"Did I watch tv on 2019/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/09/30\": {\"lunch\": {\"eid\": \"e6250\", \"logical_representation\": [\"2019/09/30\", \"lunch\", \"chinese food\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had chinese food for lunch with Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/09/30?\", \"Jackson, Benjamin\"], [\"what did I eat for lunch on 2019/09/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6251\", \"logical_representation\": [\"2019/09/30\", \"a book\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/09/30?\", \"55 minutes\"], [\"what did I read on 2019/09/30?\", \"a book\"], [\"Did I read on 2019/09/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/01\": {\"lunch\": {\"eid\": \"e6252\", \"logical_representation\": [\"2019/10/01\", \"lunch\", \"sushi\", \"Willow, Jackson\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6253\", \"logical_representation\": [\"2019/10/01\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I watched a documentary for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/01?\", \"16 minutes\"], [\"what did I watch on tv on 2019/10/01?\", \"a documentary\"], [\"Did I watch tv on 2019/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/03\": {\"exercise\": {\"eid\": \"e6254\", \"logical_representation\": [\"2019/10/03\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/10/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/03?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6255\", \"logical_representation\": [\"2019/10/03\", \"dinner\", \"tacos\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had tacos for dinner with Carter, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/10/03?\", \"Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2019/10/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6256\", \"logical_representation\": [\"2019/10/03\", \"Piper\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Piper for 10 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2019/10/03?\", \"10 minutes\"], [\"who did I talk to on 2019/10/03?\", \"Piper\"], [\"Did I talk to Piper on 2019/10/03?\", \"yes\"], [\"Did I talk to anyone on 2019/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/07\": {\"lunch\": {\"eid\": \"e6259\", \"logical_representation\": [\"2019/10/07\", \"lunch\", \"sandwich\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6260\", \"logical_representation\": [\"2019/10/07\", \"Lydia\", \"in the morning\", \"17 minutes\"], \"text_template_based\": \"I talked to Lydia for 17 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2019/10/07?\", \"17 minutes\"], [\"who did I talk to on 2019/10/07?\", \"Lydia\"], [\"Did I talk to Lydia on 2019/10/07?\", \"yes\"], [\"Did I talk to anyone on 2019/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/08\": {\"dinner\": {\"eid\": \"e6261\", \"logical_representation\": [\"2019/10/08\", \"dinner\", \"indian food\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/10/08\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/10/09\": {\"lunch\": {\"eid\": \"e6262\", \"logical_representation\": [\"2019/10/09\", \"lunch\", \"pasta\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/09\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2019/10/10\": {\"exercise\": {\"eid\": \"e6263\", \"logical_representation\": [\"2019/10/10\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/10/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/10?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6264\", \"logical_representation\": [\"2019/10/10\", \"lunch\", \"tacos\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had tacos for lunch with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/10/10?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for lunch on 2019/10/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6265\", \"logical_representation\": [\"2019/10/10\", \"Layla, Rylee\", \"late in the evening\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Layla, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee late in the evening on 2019/10/10?\", \"54 minutes\"], [\"who did I talk to on 2019/10/10?\", \"Layla, Rylee\"], [\"Did I talk to Layla, Rylee on 2019/10/10?\", \"yes\"], [\"Did I talk to anyone on 2019/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/11\": {\"lunch\": {\"eid\": \"e6266\", \"logical_representation\": [\"2019/10/11\", \"lunch\", \"a burger\", \"Kayden, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/10/11?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2019/10/11\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6267\", \"logical_representation\": [\"2019/10/11\", \"Nora, Piper\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Nora, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper in the late afternoon on 2019/10/11?\", \"32 minutes\"], [\"who did I talk to on 2019/10/11?\", \"Nora, Piper\"], [\"Did I talk to Nora, Piper on 2019/10/11?\", \"yes\"], [\"Did I talk to anyone on 2019/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6268\", \"logical_representation\": [\"2019/10/11\", \"social media\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/10/11?\", \"51 minutes\"], [\"what did I read on 2019/10/11?\", \"social media\"], [\"Did I read on 2019/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/12\": {\"exercise\": {\"eid\": \"e6269\", \"logical_representation\": [\"2019/10/12\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2019/10/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/12?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6270\", \"logical_representation\": [\"2019/10/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/10/12?\", \"Andrew\"], [\"what did I eat for breakfast on 2019/10/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6271\", \"logical_representation\": [\"2019/10/12\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/12\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2019/10/15\": {\"exercise\": {\"eid\": \"e6276\", \"logical_representation\": [\"2019/10/15\", \"biking\"], \"text_template_based\": \"I did biking on 2019/10/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/10/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6277\", \"logical_representation\": [\"2019/10/15\", \"dinner\", \"steak\", \"Kayden\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/10/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6278\", \"logical_representation\": [\"2019/10/15\", \"news\", \"37 minutes\"], \"text_template_based\": \"I watched news for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/15?\", \"37 minutes\"], [\"what did I watch on tv on 2019/10/15?\", \"news\"], [\"Did I watch tv on 2019/10/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/16\": {\"lunch\": {\"eid\": \"e6279\", \"logical_representation\": [\"2019/10/16\", \"lunch\", \"a burger\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/16\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6280\", \"logical_representation\": [\"2019/10/16\", \"dinner\", \"sushi\", \"Avery\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/10/16\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6281\", \"logical_representation\": [\"2019/10/16\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/10/16?\", \"27 minutes\"], [\"what did I read on 2019/10/16?\", \"news\"], [\"Did I read on 2019/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/17\": {\"dinner\": {\"eid\": \"e6282\", \"logical_representation\": [\"2019/10/17\", \"dinner\", \"sandwich\", \"Lydia, Nora, Rylee\"], \"text_template_based\": \"I had dinner with Lydia, Nora, Rylee. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/10/17?\", \"Lydia, Nora, Rylee\"], [\"what did I eat for dinner on 2019/10/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2019/10/19\": {\"lunch\": {\"eid\": \"e6286\", \"logical_representation\": [\"2019/10/19\", \"lunch\", \"chinese food\", \"Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/10/19?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2019/10/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6287\", \"logical_representation\": [\"2019/10/19\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/19?\", \"24 minutes\"], [\"what did I watch on tv on 2019/10/19?\", \"a tv series\"], [\"Did I watch tv on 2019/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/20\": {\"lunch\": {\"eid\": \"e6288\", \"logical_representation\": [\"2019/10/20\", \"lunch\", \"fish and chips\", \"Kinsley, Avery, Nevaeh, Piper, Claire, Piper, Eva, Hazel\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/20\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6289\", \"logical_representation\": [\"2019/10/20\", \"dinner\", \"tacos\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/10/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6290\", \"logical_representation\": [\"2019/10/20\", \"Rylee, Kinsley, Claire, Piper\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Rylee, Kinsley, Claire, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Claire, Piper during lunch hours on 2019/10/20?\", \"51 minutes\"], [\"who did I talk to on 2019/10/20?\", \"Rylee, Kinsley, Claire, Piper\"], [\"Did I talk to Rylee, Kinsley, Claire, Piper on 2019/10/20?\", \"yes\"], [\"Did I talk to anyone on 2019/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6291\", \"logical_representation\": [\"2019/10/20\", \"news\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/10/20?\", \"13 minutes\"], [\"what did I read on 2019/10/20?\", \"news\"], [\"Did I read on 2019/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/23\": {\"watch tv\": {\"eid\": \"e6294\", \"logical_representation\": [\"2019/10/23\", \"a movie\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/23?\", \"49 minutes\"], [\"what did I watch on tv on 2019/10/23?\", \"a movie\"], [\"Did I watch tv on 2019/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/25\": {\"chat0\": {\"eid\": \"e6295\", \"logical_representation\": [\"2019/10/25\", \"Claire\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Claire for 38 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2019/10/25?\", \"38 minutes\"], [\"who did I talk to on 2019/10/25?\", \"Claire\"], [\"Did I talk to Claire on 2019/10/25?\", \"yes\"], [\"Did I talk to anyone on 2019/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/26\": {\"chat0\": {\"eid\": \"e6296\", \"logical_representation\": [\"2019/10/26\", \"Olivia, Hazel, Lydia\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Olivia, Hazel, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Lydia in the early afternoon on 2019/10/26?\", \"26 minutes\"], [\"who did I talk to on 2019/10/26?\", \"Olivia, Hazel, Lydia\"], [\"Did I talk to Olivia, Hazel, Lydia on 2019/10/26?\", \"yes\"], [\"Did I talk to anyone on 2019/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/27\": {\"dinner\": {\"eid\": \"e6297\", \"logical_representation\": [\"2019/10/27\", \"dinner\", \"indian food\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had indian food for dinner with Benjamin, Willow, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/10/27?\", \"Benjamin, Willow, Jackson, Avery\"], [\"what did I eat for dinner on 2019/10/27\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2019/10/28\": {\"dinner\": {\"eid\": \"e6298\", \"logical_representation\": [\"2019/10/28\", \"dinner\", \"chinese food\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I had chinese food for dinner with Willow, Avery, Jackson, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2019/10/28?\", \"Willow, Avery, Jackson, Benjamin\"], [\"what did I eat for dinner on 2019/10/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6299\", \"logical_representation\": [\"2019/10/28\", \"Kinsley, Nora, Layla\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Kinsley, Nora, Layla for 32 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nora, Layla in the early evening on 2019/10/28?\", \"32 minutes\"], [\"who did I talk to on 2019/10/28?\", \"Kinsley, Nora, Layla\"], [\"Did I talk to Kinsley, Nora, Layla on 2019/10/28?\", \"yes\"], [\"Did I talk to anyone on 2019/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/30\": {\"breakfast\": {\"eid\": \"e6301\", \"logical_representation\": [\"2019/10/30\", \"breakfast\", \"pancakes\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/10/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2019/10/31\": {\"lunch\": {\"eid\": \"e6302\", \"logical_representation\": [\"2019/10/31\", \"lunch\", \"sushi\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/10/31\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6303\", \"logical_representation\": [\"2019/10/31\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/10/31?\", \"22 minutes\"], [\"what did I watch on tv on 2019/10/31?\", \"a tv series\"], [\"Did I watch tv on 2019/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/02\": {\"breakfast\": {\"eid\": \"e6304\", \"logical_representation\": [\"2019/11/02\", \"breakfast\", \"toast and cheese\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6305\", \"logical_representation\": [\"2019/11/02\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6306\", \"logical_representation\": [\"2019/11/02\", \"social media\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/11/02?\", \"24 minutes\"], [\"what did I read on 2019/11/02?\", \"social media\"], [\"Did I read on 2019/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/04\": {\"dinner\": {\"eid\": \"e6309\", \"logical_representation\": [\"2019/11/04\", \"dinner\", \"fish and chips\", \"Piper, Olivia, Rylee, Avery, Kinsley, Nevaeh, Piper, Claire, Nora, Layla, Eva, Hazel, Lydia\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2019/11/05\": {\"breakfast\": {\"eid\": \"e6310\", \"logical_representation\": [\"2019/11/05\", \"breakfast\", \"oatmeal\", \"Andrew\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6311\", \"logical_representation\": [\"2019/11/05\", \"a documentary\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/05?\", \"12 minutes\"], [\"what did I watch on tv on 2019/11/05?\", \"a documentary\"], [\"Did I watch tv on 2019/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/06\": {\"breakfast\": {\"eid\": \"e6312\", \"logical_representation\": [\"2019/11/06\", \"breakfast\", \"cereals\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/06\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6313\", \"logical_representation\": [\"2019/11/06\", \"dinner\", \"tacos\", \"Willow\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/06\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2019/11/07\": {\"breakfast\": {\"eid\": \"e6314\", \"logical_representation\": [\"2019/11/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Avery, Benjamin\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6315\", \"logical_representation\": [\"2019/11/07\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/11/07?\", \"9 minutes\"], [\"what did I read on 2019/11/07?\", \"a book\"], [\"Did I read on 2019/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/10\": {\"exercise\": {\"eid\": \"e6320\", \"logical_representation\": [\"2019/11/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/11/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/11/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6321\", \"logical_representation\": [\"2019/11/10\", \"Piper, Layla, Olivia\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Olivia for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Olivia in the early afternoon on 2019/11/10?\", \"42 minutes\"], [\"who did I talk to on 2019/11/10?\", \"Piper, Layla, Olivia\"], [\"Did I talk to Piper, Layla, Olivia on 2019/11/10?\", \"yes\"], [\"Did I talk to anyone on 2019/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/11\": {\"exercise\": {\"eid\": \"e6322\", \"logical_representation\": [\"2019/11/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2019/11/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/11/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2019/11/12\": {\"breakfast\": {\"eid\": \"e6323\", \"logical_representation\": [\"2019/11/12\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/12\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6324\", \"logical_representation\": [\"2019/11/12\", \"Hazel, Layla, Eva\", \"in the morning\", \"13 minutes\"], \"text_template_based\": \"I talked to Hazel, Layla, Eva for 13 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla, Eva in the morning on 2019/11/12?\", \"13 minutes\"], [\"who did I talk to on 2019/11/12?\", \"Hazel, Layla, Eva\"], [\"Did I talk to Hazel, Layla, Eva on 2019/11/12?\", \"yes\"], [\"Did I talk to anyone on 2019/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6325\", \"logical_representation\": [\"2019/11/12\", \"a tv series\", \"38 minutes\"], \"text_template_based\": \"I watched a tv series for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/12?\", \"38 minutes\"], [\"what did I watch on tv on 2019/11/12?\", \"a tv series\"], [\"Did I watch tv on 2019/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/13\": {\"social media\": {\"eid\": \"e6326\", \"logical_representation\": [\"2019/11/13\", \"social media\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/11/13?\", \"54 minutes\"], [\"what did I read on 2019/11/13?\", \"social media\"], [\"Did I read on 2019/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6327\", \"logical_representation\": [\"2019/11/13\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/13?\", \"37 minutes\"], [\"what did I watch on tv on 2019/11/13?\", \"a movie\"], [\"Did I watch tv on 2019/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/14\": {\"chat0\": {\"eid\": \"e6328\", \"logical_representation\": [\"2019/11/14\", \"Layla, Nora\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Layla, Nora for 42 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Nora in the late afternoon on 2019/11/14?\", \"42 minutes\"], [\"who did I talk to on 2019/11/14?\", \"Layla, Nora\"], [\"Did I talk to Layla, Nora on 2019/11/14?\", \"yes\"], [\"Did I talk to anyone on 2019/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/19\": {\"watch tv\": {\"eid\": \"e6336\", \"logical_representation\": [\"2019/11/19\", \"a tv series\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/19?\", \"16 minutes\"], [\"what did I watch on tv on 2019/11/19?\", \"a tv series\"], [\"Did I watch tv on 2019/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/20\": {\"breakfast\": {\"eid\": \"e6337\", \"logical_representation\": [\"2019/11/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2019/11/21\": {\"breakfast\": {\"eid\": \"e6338\", \"logical_representation\": [\"2019/11/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Benjamin, Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/11/21?\", \"Benjamin, Avery, Jackson, Willow\"], [\"what did I eat for breakfast on 2019/11/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6339\", \"logical_representation\": [\"2019/11/21\", \"Avery, Layla, Eva, Kinsley\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Avery, Layla, Eva, Kinsley on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Eva, Kinsley in the early evening on 2019/11/21?\", \"23 minutes\"], [\"who did I talk to on 2019/11/21?\", \"Avery, Layla, Eva, Kinsley\"], [\"Did I talk to Avery, Layla, Eva, Kinsley on 2019/11/21?\", \"yes\"], [\"Did I talk to anyone on 2019/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6340\", \"logical_representation\": [\"2019/11/21\", \"news\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2019/11/21?\", \"9 minutes\"], [\"what did I read on 2019/11/21?\", \"news\"], [\"Did I read on 2019/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/22\": {\"breakfast\": {\"eid\": \"e6341\", \"logical_representation\": [\"2019/11/22\", \"breakfast\", \"pancakes\", \"Benjamin\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/11/22\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6342\", \"logical_representation\": [\"2019/11/22\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/11/22?\", \"8 minutes\"], [\"what did I read on 2019/11/22?\", \"a book\"], [\"Did I read on 2019/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6343\", \"logical_representation\": [\"2019/11/22\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I watched a documentary for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/22?\", \"36 minutes\"], [\"what did I watch on tv on 2019/11/22?\", \"a documentary\"], [\"Did I watch tv on 2019/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/24\": {\"lunch\": {\"eid\": \"e6348\", \"logical_representation\": [\"2019/11/24\", \"lunch\", \"indian food\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/11/24\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6349\", \"logical_representation\": [\"2019/11/24\", \"Claire\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Claire for 55 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire late in the evening on 2019/11/24?\", \"55 minutes\"], [\"who did I talk to on 2019/11/24?\", \"Claire\"], [\"Did I talk to Claire on 2019/11/24?\", \"yes\"], [\"Did I talk to anyone on 2019/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/25\": {\"dinner\": {\"eid\": \"e6350\", \"logical_representation\": [\"2019/11/25\", \"dinner\", \"a burger\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6351\", \"logical_representation\": [\"2019/11/25\", \"Eva, Lydia, Piper\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Eva, Lydia, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia, Piper late in the evening on 2019/11/25?\", \"31 minutes\"], [\"who did I talk to on 2019/11/25?\", \"Eva, Lydia, Piper\"], [\"Did I talk to Eva, Lydia, Piper on 2019/11/25?\", \"yes\"], [\"Did I talk to anyone on 2019/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6352\", \"logical_representation\": [\"2019/11/25\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/25?\", \"12 minutes\"], [\"what did I watch on tv on 2019/11/25?\", \"a movie\"], [\"Did I watch tv on 2019/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/27\": {\"exercise\": {\"eid\": \"e6353\", \"logical_representation\": [\"2019/11/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/11/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/11/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6354\", \"logical_representation\": [\"2019/11/27\", \"dinner\", \"a burger\", \"Avery, Jackson\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/11/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6355\", \"logical_representation\": [\"2019/11/27\", \"a movie\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/27?\", \"38 minutes\"], [\"what did I watch on tv on 2019/11/27?\", \"a movie\"], [\"Did I watch tv on 2019/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/29\": {\"exercise\": {\"eid\": \"e6356\", \"logical_representation\": [\"2019/11/29\", \"running\"], \"text_template_based\": \"I did running on 2019/11/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/11/29?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6357\", \"logical_representation\": [\"2019/11/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Piper, Layla, Avery, Nora, Eva, Nevaeh, Claire, Lydia, Olivia, Kinsley, Hazel, Piper\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Piper, Layla, Avery, Nora, Eva, Nevaeh, Claire, Lydia, Olivia, Kinsley, Hazel, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/11/29?\", \"Piper, Layla, Avery, Nora, Eva, Nevaeh, Claire, Lydia, Olivia, Kinsley, Hazel, Piper\"], [\"what did I eat for breakfast on 2019/11/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6358\", \"logical_representation\": [\"2019/11/29\", \"Eva, Layla\", \"in the morning\", \"42 minutes\"], \"text_template_based\": \"I talked to Eva, Layla for 42 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla in the morning on 2019/11/29?\", \"42 minutes\"], [\"who did I talk to on 2019/11/29?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2019/11/29?\", \"yes\"], [\"Did I talk to anyone on 2019/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/11/30\": {\"chat0\": {\"eid\": \"e6359\", \"logical_representation\": [\"2019/11/30\", \"Rylee, Avery, Layla\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery, Layla for 52 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery, Layla in the late afternoon on 2019/11/30?\", \"52 minutes\"], [\"who did I talk to on 2019/11/30?\", \"Rylee, Avery, Layla\"], [\"Did I talk to Rylee, Avery, Layla on 2019/11/30?\", \"yes\"], [\"Did I talk to anyone on 2019/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6360\", \"logical_representation\": [\"2019/11/30\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/11/30?\", \"7 minutes\"], [\"what did I watch on tv on 2019/11/30?\", \"news\"], [\"Did I watch tv on 2019/11/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/01\": {\"breakfast\": {\"eid\": \"e6361\", \"logical_representation\": [\"2019/12/01\", \"breakfast\", \"pancakes\", \"Willow, Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had breakfast with Willow, Benjamin, Jackson, Avery. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/12/01?\", \"Willow, Benjamin, Jackson, Avery\"], [\"what did I eat for breakfast on 2019/12/01\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/03\": {\"exercise\": {\"eid\": \"e6364\", \"logical_representation\": [\"2019/12/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/12/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6365\", \"logical_representation\": [\"2019/12/03\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/03?\", \"15 minutes\"], [\"what did I watch on tv on 2019/12/03?\", \"news\"], [\"Did I watch tv on 2019/12/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/04\": {\"read\": {\"eid\": \"e6366\", \"logical_representation\": [\"2019/12/04\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/12/04?\", \"39 minutes\"], [\"what did I read on 2019/12/04?\", \"a book\"], [\"Did I read on 2019/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/05\": {\"exercise\": {\"eid\": \"e6367\", \"logical_representation\": [\"2019/12/05\", \"swimming\"], \"text_template_based\": \"I did swimming on 2019/12/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/05?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2019/12/07\": {\"social media\": {\"eid\": \"e6368\", \"logical_representation\": [\"2019/12/07\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/12/07?\", \"49 minutes\"], [\"what did I read on 2019/12/07?\", \"social media\"], [\"Did I read on 2019/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/09\": {\"exercise\": {\"eid\": \"e6369\", \"logical_representation\": [\"2019/12/09\", \"biking\"], \"text_template_based\": \"I did biking on 2019/12/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/09?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6370\", \"logical_representation\": [\"2019/12/09\", \"breakfast\", \"cereals\", \"Kayden, Emily\"], \"text_template_based\": \"I had breakfast with Kayden, Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/12/09?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2019/12/09\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6371\", \"logical_representation\": [\"2019/12/09\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I watched a movie for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/09?\", \"10 minutes\"], [\"what did I watch on tv on 2019/12/09?\", \"a movie\"], [\"Did I watch tv on 2019/12/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/10\": {\"breakfast\": {\"eid\": \"e6372\", \"logical_representation\": [\"2019/12/10\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Hazel\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Piper, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/12/10?\", \"Piper, Hazel\"], [\"what did I eat for breakfast on 2019/12/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6373\", \"logical_representation\": [\"2019/12/10\", \"Piper, Rylee, Claire, Hazel\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Piper, Rylee, Claire, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Claire, Hazel late in the evening on 2019/12/10?\", \"24 minutes\"], [\"who did I talk to on 2019/12/10?\", \"Piper, Rylee, Claire, Hazel\"], [\"Did I talk to Piper, Rylee, Claire, Hazel on 2019/12/10?\", \"yes\"], [\"Did I talk to anyone on 2019/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/12\": {\"exercise\": {\"eid\": \"e6374\", \"logical_representation\": [\"2019/12/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/12/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6375\", \"logical_representation\": [\"2019/12/12\", \"a movie\", \"46 minutes\"], \"text_template_based\": \"I watched a movie for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/12?\", \"46 minutes\"], [\"what did I watch on tv on 2019/12/12?\", \"a movie\"], [\"Did I watch tv on 2019/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/13\": {\"exercise\": {\"eid\": \"e6376\", \"logical_representation\": [\"2019/12/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2019/12/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2019/12/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6377\", \"logical_representation\": [\"2019/12/13\", \"lunch\", \"steak\", \"Olivia, Piper, Rylee, Kinsley, Piper, Lydia, Claire, Nevaeh, Eva, Layla, Hazel\"], \"text_template_based\": \"I had lunch with Olivia, Piper, Rylee, Kinsley, Piper, Lydia, Claire, Nevaeh, Eva, Layla, Hazel. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/12/13?\", \"Olivia, Piper, Rylee, Kinsley, Piper, Lydia, Claire, Nevaeh, Eva, Layla, Hazel\"], [\"what did I eat for lunch on 2019/12/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6378\", \"logical_representation\": [\"2019/12/13\", \"Layla, Hazel, Olivia\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Layla, Hazel, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Hazel, Olivia late in the evening on 2019/12/13?\", \"32 minutes\"], [\"who did I talk to on 2019/12/13?\", \"Layla, Hazel, Olivia\"], [\"Did I talk to Layla, Hazel, Olivia on 2019/12/13?\", \"yes\"], [\"Did I talk to anyone on 2019/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6379\", \"logical_representation\": [\"2019/12/13\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/12/13?\", \"7 minutes\"], [\"what did I read on 2019/12/13?\", \"a book\"], [\"Did I read on 2019/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6380\", \"logical_representation\": [\"2019/12/13\", \"a documentary\", \"49 minutes\"], \"text_template_based\": \"I watched a documentary for 49 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/13?\", \"49 minutes\"], [\"what did I watch on tv on 2019/12/13?\", \"a documentary\"], [\"Did I watch tv on 2019/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/14\": {\"breakfast\": {\"eid\": \"e6381\", \"logical_representation\": [\"2019/12/14\", \"breakfast\", \"peanut-butter-jam\", \"Avery\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/12/14?\", \"Avery\"], [\"what did I eat for breakfast on 2019/12/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6382\", \"logical_representation\": [\"2019/12/14\", \"Hazel, Piper\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Hazel, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper late in the evening on 2019/12/14?\", \"17 minutes\"], [\"who did I talk to on 2019/12/14?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2019/12/14?\", \"yes\"], [\"Did I talk to anyone on 2019/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/19\": {\"lunch\": {\"eid\": \"e6388\", \"logical_representation\": [\"2019/12/19\", \"lunch\", \"fish and chips\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/12/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6389\", \"logical_representation\": [\"2019/12/19\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I watched a movie for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/19?\", \"28 minutes\"], [\"what did I watch on tv on 2019/12/19?\", \"a movie\"], [\"Did I watch tv on 2019/12/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/20\": {\"breakfast\": {\"eid\": \"e6390\", \"logical_representation\": [\"2019/12/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast with Andrew, Kayden. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2019/12/20?\", \"Andrew, Kayden\"], [\"what did I eat for breakfast on 2019/12/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6391\", \"logical_representation\": [\"2019/12/20\", \"lunch\", \"pasta\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2019/12/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6392\", \"logical_representation\": [\"2019/12/20\", \"Nevaeh, Piper, Eva\", \"in the morning\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Nevaeh, Piper, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Eva in the morning on 2019/12/20?\", \"38 minutes\"], [\"who did I talk to on 2019/12/20?\", \"Nevaeh, Piper, Eva\"], [\"Did I talk to Nevaeh, Piper, Eva on 2019/12/20?\", \"yes\"], [\"Did I talk to anyone on 2019/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/21\": {\"watch tv\": {\"eid\": \"e6393\", \"logical_representation\": [\"2019/12/21\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/21?\", \"24 minutes\"], [\"what did I watch on tv on 2019/12/21?\", \"a tv series\"], [\"Did I watch tv on 2019/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/22\": {\"lunch\": {\"eid\": \"e6394\", \"logical_representation\": [\"2019/12/22\", \"lunch\", \"chinese food\", \"Benjamin, Willow, Avery\"], \"text_template_based\": \"I had lunch with Benjamin, Willow, Avery. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2019/12/22?\", \"Benjamin, Willow, Avery\"], [\"what did I eat for lunch on 2019/12/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6395\", \"logical_representation\": [\"2019/12/22\", \"dinner\", \"pasta\", \"Willow, Avery\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/12/22\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2019/12/23\": {\"social media\": {\"eid\": \"e6396\", \"logical_representation\": [\"2019/12/23\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2019/12/23?\", \"53 minutes\"], [\"what did I read on 2019/12/23?\", \"social media\"], [\"Did I read on 2019/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6397\", \"logical_representation\": [\"2019/12/23\", \"a documentary\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/23?\", \"23 minutes\"], [\"what did I watch on tv on 2019/12/23?\", \"a documentary\"], [\"Did I watch tv on 2019/12/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/26\": {\"breakfast\": {\"eid\": \"e6400\", \"logical_representation\": [\"2019/12/26\", \"breakfast\", \"oatmeal\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/12/26\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6401\", \"logical_representation\": [\"2019/12/26\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2019/12/26?\", \"42 minutes\"], [\"what did I watch on tv on 2019/12/26?\", \"a documentary\"], [\"Did I watch tv on 2019/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/29\": {\"breakfast\": {\"eid\": \"e6402\", \"logical_representation\": [\"2019/12/29\", \"breakfast\", \"cereals\", \"Piper, Kinsley, Piper, Rylee, Eva, Avery, Olivia\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2019/12/29\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6403\", \"logical_representation\": [\"2019/12/29\", \"dinner\", \"pasta\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2019/12/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6404\", \"logical_representation\": [\"2019/12/29\", \"Claire\", \"in the early evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Claire for 10 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2019/12/29?\", \"10 minutes\"], [\"who did I talk to on 2019/12/29?\", \"Claire\"], [\"Did I talk to Claire on 2019/12/29?\", \"yes\"], [\"Did I talk to anyone on 2019/12/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/30\": {\"chat0\": {\"eid\": \"e6405\", \"logical_representation\": [\"2019/12/30\", \"Piper, Nora, Lydia, Layla\", \"in the late afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Lydia, Layla for 6 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Lydia, Layla in the late afternoon on 2019/12/30?\", \"6 minutes\"], [\"who did I talk to on 2019/12/30?\", \"Piper, Nora, Lydia, Layla\"], [\"Did I talk to Piper, Nora, Lydia, Layla on 2019/12/30?\", \"yes\"], [\"Did I talk to anyone on 2019/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6406\", \"logical_representation\": [\"2019/12/30\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2019/12/30?\", \"49 minutes\"], [\"what did I read on 2019/12/30?\", \"a book\"], [\"Did I read on 2019/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2019/12/31\": {\"chat0\": {\"eid\": \"e6407\", \"logical_representation\": [\"2019/12/31\", \"Rylee\", \"in the early afternoon\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early afternoon on 2019/12/31?\", \"8 minutes\"], [\"who did I talk to on 2019/12/31?\", \"Rylee\"], [\"Did I talk to Rylee on 2019/12/31?\", \"yes\"], [\"Did I talk to anyone on 2019/12/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/02\": {\"travel\": {\"eid\": \"e6408\", \"logical_representation\": [\"2020/05/02\", \"2020/05/12\", [\"Emily\", \"Andrew\"], \"Miami, US\"], \"text_template_based\": \"On 2020/05/02 Emily, Andrew and I went to Miami, US together for 10 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Miami, US on 2020/05/02?\", \"Emily, Andrew\"], [\"who did I go with to Miami, US?\", \"Emily, Andrew\"], [\"where did I go on 2020/05/02?\", \"Miami, US\"], [\"when did I go to Miami, US?\", \"2020/05/02\"], [\"when did I go to Miami, US with Emily, Andrew ?\", \"2020/05/02\"], [\"How long did I stay in Miami, US?\", \"10\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e6448\", \"logical_representation\": [\"2020/05/02\", \"Isabella\", \"a coffee Shop\"], \"text_template_based\": \"On 2020/05/02, I took Isabella on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/05/02\", \"Isabella\"], [\"where did I go for the date on 2020/05/02\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}}, \"2020/05/03\": {\"places_visited\": {\"eid\": \"e6409\", \"logical_representation\": [\"2020/05/03\", [\"Emily\", \"Andrew\"], \"Miami Beach\", \"took a group photo\", \"impressed\"], \"text_template_based\": \"During my trip to Miami, US, I visited Miami Beach on 2020/05 with Emily, Andrew.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Miami, US on 2020/05\", \"Miami Beach\"], [\"when did I visit Miami Beach during my trip to Miami, US\", \"2020/05/03\"], [\"when did I visit Miami Beach \", \"2020/05/03\"], [\"who went with me to visit Miami Beach ?\", \"Emily, Andrew\"], [\"who went with me to visit Miami Beach during my trip to Miami, US on 2020/05?\", \"Emily, Andrew\"]], \"multihop_qa_pairs\": []}, \"dining\": {\"eid\": \"e6413\", \"logical_representation\": [\"2020/05/03\", [\"Emily\", \"Andrew\"], \"local food\", \"El Zambo Street Food\"], \"text_template_based\": \"I ate local food at El Zambo Street Food with Emily, Andrew on  2020/05/03 when I was in Miami, US.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at El Zambo Street Food ?\", \"Emily, Andrew\"], [\"who did I eat 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I saw Andrew, Carter, Kayden, Emily at the grocery store.\", \"strawberries, blackberries, peaches\", \"milk\", \"shampoo, paper towel\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I bought some strawberries, blackberries, peaches, milk, shampoo, paper towel from the grocery store. I saw Andrew, Carter, Kayden, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/01/12?\", \"strawberries, blackberries, peaches, milk, and shampoo, paper towel\"], [\"what fruits did I buy from the grocery store on 2020/01/12?\", \"strawberries, blackberries, peaches\"], [\"what drinks did I buy from the grocery store on 2020/01/12?\", \"milk\"], [\"what toiletries did I buy from the grocery store on 2020/01/12?\", \"shampoo, paper towel\"], [\"who did I see at the grocery store on 2020/01/12?\", \"Andrew, Carter, Kayden, Emily\"]], \"multihop_qa_pairs\": []}}, \"2020/01/27\": {\"dating\": {\"eid\": \"e6426\", \"logical_representation\": [\"2020/01/27\", \"Zoey\", \"a boba shop\"], \"text_template_based\": \"On 2020/01/27, I took Zoey on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/01/27\", \"Zoey\"], [\"where did I go for the date on 2020/01/27\", \"a boba shop\"]], \"multihop_qa_pairs\": []}}, \"2020/01/24\": {\"grocery\": {\"eid\": \"e6427\", \"logical_representation\": [\"2020/01/24\", \"I bought some pineapples, milk, soda, orange juice, shaving cream from the grocery store. I saw Jackson, Benjamin, Avery, Willow at the grocery store.\", \"pineapples\", \"milk, soda, orange juice\", \"shaving cream\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I bought some pineapples, milk, soda, orange juice, shaving cream from the grocery store. I saw Jackson, Benjamin, Avery, Willow at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/01/24?\", \"pineapples, milk, soda, orange juice, and shaving cream\"], [\"what fruits did I buy from the grocery store on 2020/01/24?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2020/01/24?\", \"milk, soda, orange juice\"], [\"what toiletries did I buy from the grocery store on 2020/01/24?\", \"shaving cream\"], [\"who did I see at the grocery store on 2020/01/24?\", \"Jackson, Benjamin, Avery, Willow\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6527\", \"logical_representation\": [\"2020/01/24\", \"lunch\", \"indian food\", \"Layla, Olivia, Eva, Avery, Piper, Claire, Nora, Hazel, Piper, Rylee, Nevaeh\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/24\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6528\", \"logical_representation\": [\"2020/01/24\", \"Nevaeh, Olivia\", \"during lunch hours\", \"50 minutes\"], \"text_template_based\": \"I spent 50 talking to Nevaeh, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia during lunch hours on 2020/01/24?\", \"50 minutes\"], [\"who did I talk to on 2020/01/24?\", \"Nevaeh, Olivia\"], [\"Did I talk to Nevaeh, Olivia on 2020/01/24?\", \"yes\"], [\"Did I talk to anyone on 2020/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/02\": {\"dating\": {\"eid\": \"e6428\", \"logical_representation\": [\"2020/02/02\", \"Claire\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Claire on 2020/02/02 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/02/02\", \"Claire\"], [\"where did I go for the date on 2020/02/02\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}}, \"2020/02/04\": {\"grocery\": {\"eid\": \"e6429\", \"logical_representation\": [\"2020/02/04\", \"I bought some guava, watermelons, orange juice, body lotion from the grocery store. I saw Nora, Piper, Claire, Hazel at the grocery store.\", \"guava, watermelons\", \"orange juice\", \"body lotion\", \"Nora, Piper, Claire, Hazel\"], \"text_template_based\": \"I bought some guava, watermelons, orange juice, body lotion from the grocery store. I saw Nora, Piper, Claire, Hazel at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/02/04?\", \"guava, watermelons, orange juice, and body lotion\"], [\"what fruits did I buy from the grocery store on 2020/02/04?\", \"guava, watermelons\"], [\"what drinks did I buy from the grocery store on 2020/02/04?\", \"orange juice\"], [\"what toiletries did I buy from the grocery store on 2020/02/04?\", \"body lotion\"], [\"who did I see at the grocery store on 2020/02/04?\", \"Nora, Piper, Claire, Hazel\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6546\", \"logical_representation\": [\"2020/02/04\", \"dinner\", \"fish and chips\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had fish and chips for dinner with Carter, Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/02/04?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2020/02/04\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2020/02/08\": {\"hobbies\": {\"eid\": \"e6430\", \"logical_representation\": [\"2020/02/08\", \"I really enjoyed yoga on 2020/02/08\", \"yoga\", \"Avery, Benjamin\"], \"text_template_based\": \"I really enjoyed yoga on 2020/02/08\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2020/02/08\"], [\"On 2020/02/08, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6431\", \"logical_representation\": [\"2020/02/08\", \"I bought some nectarines, blackberries, guava, peaches, soda, orange juice, pineapple juice, milk, toothbrush, shampoo, conditioner, paper towel from the grocery store. I saw Kinsley, Nevaeh, Lydia, Piper, Nora, Olivia, Rylee, Claire, Piper, Layla, Avery, Hazel, Eva at the grocery store.\", \"nectarines, blackberries, guava, peaches\", \"soda, orange juice, pineapple juice, milk\", \"toothbrush, shampoo, conditioner, paper towel\", \"Kinsley, Nevaeh, Lydia, Piper, Nora, Olivia, Rylee, Claire, Piper, Layla, Avery, Hazel, Eva\"], \"text_template_based\": \"I bought some nectarines, blackberries, guava, peaches, soda, orange juice, pineapple juice, milk, toothbrush, shampoo, conditioner, paper towel from the grocery store. I saw Kinsley, Nevaeh, Lydia, Piper, Nora, Olivia, Rylee, Claire, Piper, Layla, Avery, Hazel, Eva at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/02/08?\", \"nectarines, blackberries, guava, peaches, soda, orange juice, pineapple juice, milk, and toothbrush, shampoo, conditioner, paper towel\"], [\"what fruits did I buy from the grocery store on 2020/02/08?\", \"nectarines, blackberries, guava, peaches\"], [\"what drinks did I buy from the grocery store on 2020/02/08?\", \"soda, orange juice, pineapple juice, milk\"], [\"what toiletries did I buy from the grocery store on 2020/02/08?\", \"toothbrush, shampoo, conditioner, paper towel\"], [\"who did I see at the grocery store on 2020/02/08?\", \"Kinsley, Nevaeh, Lydia, Piper, Nora, Olivia, Rylee, Claire, Piper, Layla, Avery, Hazel, Eva\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6548\", \"logical_representation\": [\"2020/02/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2020/02/18\": {\"hobbies\": {\"eid\": \"e6432\", \"logical_representation\": [\"2020/02/18\", \"I spent time learning a language on 2020/02/18 with Carter, Andrew.\", \"learning a language\", \"Carter, Andrew\"], \"text_template_based\": \"I spent time learning a language on 2020/02/18 with Carter, Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Carter, Andrew?\", \"2020/02/18\"], [\"On 2020/02/18, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2020/02/18?\", \"Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6563\", \"logical_representation\": [\"2020/02/18\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Avery\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/18\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6564\", \"logical_representation\": [\"2020/02/18\", \"Kinsley\", \"in the early afternoon\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2020/02/18?\", \"53 minutes\"], [\"who did I talk to on 2020/02/18?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2020/02/18?\", \"yes\"], [\"Did I talk to anyone on 2020/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6565\", \"logical_representation\": [\"2020/02/18\", \"news\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/02/18?\", \"8 minutes\"], [\"what did I read on 2020/02/18?\", \"news\"], [\"Did I read on 2020/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6566\", \"logical_representation\": [\"2020/02/18\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/18?\", \"22 minutes\"], [\"what did I watch on tv on 2020/02/18?\", \"a tv series\"], [\"Did I watch tv on 2020/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/25\": {\"dating\": {\"eid\": \"e6433\", \"logical_representation\": [\"2020/02/25\", \"Lucy\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Lucy on 2020/02/25 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/02/25\", \"Lucy\"], [\"where did I go for the date on 2020/02/25\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6434\", \"logical_representation\": [\"2020/02/25\", \"I went grocery shopping. I bought some watermelons, pears, blackberries, orange juice, tea, mango juice, and shampoo, toilet paper\", \"watermelons, pears, blackberries\", \"orange juice, tea, mango juice\", \"shampoo, toilet paper\", \"Hazel, Olivia, Claire, Nevaeh, Nora, Rylee, Kinsley, Piper, Avery, Layla, Eva\"], \"text_template_based\": \"I went grocery shopping. I bought some watermelons, pears, blackberries, orange juice, tea, mango juice, and shampoo, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/02/25?\", \"watermelons, pears, blackberries, orange juice, tea, mango juice, and shampoo, toilet paper\"], [\"what fruits did I buy from the grocery store on 2020/02/25?\", \"watermelons, pears, blackberries\"], [\"what drinks did I buy from the grocery store on 2020/02/25?\", \"orange juice, tea, mango juice\"], [\"what toiletries did I buy from the grocery store on 2020/02/25?\", \"shampoo, toilet paper\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6579\", \"logical_representation\": [\"2020/02/25\", \"lunch\", \"fish and chips\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/02/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6580\", \"logical_representation\": [\"2020/02/25\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/02/25?\", \"13 minutes\"], [\"what did I read on 2020/02/25?\", \"social media\"], [\"Did I read on 2020/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/10\": {\"dating\": {\"eid\": \"e6435\", \"logical_representation\": [\"2020/03/10\", \"Emilia\", \"a boba shop\"], \"text_template_based\": \"On 2020/03/10, I took Emilia on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/03/10\", \"Emilia\"], [\"where did I go for the date on 2020/03/10\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6599\", \"logical_representation\": [\"2020/03/10\", \"breakfast\", \"cereals\", \"Avery, Benjamin\"], \"text_template_based\": \"I had breakfast with Avery, Benjamin. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/03/10?\", \"Avery, Benjamin\"], [\"what did I eat for breakfast on 2020/03/10\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6600\", \"logical_representation\": [\"2020/03/10\", \"Olivia\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Olivia for 26 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the early evening on 2020/03/10?\", \"26 minutes\"], [\"who did I talk to on 2020/03/10?\", \"Olivia\"], [\"Did I talk to Olivia on 2020/03/10?\", \"yes\"], [\"Did I talk to anyone on 2020/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/20\": {\"dating\": {\"eid\": \"e6436\", \"logical_representation\": [\"2020/03/20\", \"Quinn\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Quinn on 2020/03/20 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/03/20\", \"Quinn\"], [\"where did I go for the date on 2020/03/20\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6611\", \"logical_representation\": [\"2020/03/20\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/03/20?\", \"19 minutes\"], [\"what did I read on 2020/03/20?\", \"news\"], [\"Did I read on 2020/03/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/21\": {\"hobbies\": {\"eid\": \"e6437\", \"logical_representation\": [\"2020/03/21\", \"I spent some time meditation on 2020/03/21.\", \"meditation\", \"Kayden, Andrew\"], \"text_template_based\": \"I spent some time meditation on 2020/03/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2020/03/21\"], [\"On 2020/03/21, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6612\", \"logical_representation\": [\"2020/03/21\", \"news\", \"18 minutes\"], \"text_template_based\": \"I watched news for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/21?\", \"18 minutes\"], [\"what did I watch on tv on 2020/03/21?\", \"news\"], [\"Did I watch tv on 2020/03/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/22\": {\"grocery\": {\"eid\": \"e6438\", \"logical_representation\": [\"2020/03/22\", \"I went grocery shopping. I bought some oranges, peaches, blackberries, apple juice, and toilet paper, shaving cream, conditioner, facial wash\", \"oranges, peaches, blackberries\", \"apple juice\", \"toilet paper, shaving cream, conditioner, facial wash\", \"Jackson, Benjamin\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, peaches, blackberries, apple juice, and toilet paper, shaving cream, conditioner, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/03/22?\", \"oranges, peaches, blackberries, apple juice, and toilet paper, shaving cream, conditioner, facial wash\"], [\"what fruits did I buy from the grocery store on 2020/03/22?\", \"oranges, peaches, blackberries\"], [\"what drinks did I buy from the grocery store on 2020/03/22?\", \"apple juice\"], [\"what toiletries did I buy from the grocery store on 2020/03/22?\", \"toilet paper, shaving cream, conditioner, facial wash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6613\", \"logical_representation\": [\"2020/03/22\", \"Layla\", \"in the early afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Layla for 51 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2020/03/22?\", \"51 minutes\"], [\"who did I talk to on 2020/03/22?\", \"Layla\"], [\"Did I talk to Layla on 2020/03/22?\", \"yes\"], [\"Did I talk to anyone on 2020/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/28\": {\"hobbies\": {\"eid\": \"e6439\", \"logical_representation\": [\"2020/03/28\", \"I really enjoyed yoga on 2020/03/28\", \"yoga\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I really enjoyed yoga on 2020/03/28\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2020/03/28\"], [\"On 2020/03/28, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6621\", \"logical_representation\": [\"2020/03/28\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/03/28?\", \"46 minutes\"], [\"what did I read on 2020/03/28?\", \"social media\"], [\"Did I read on 2020/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/31\": {\"grocery\": {\"eid\": \"e6440\", \"logical_representation\": [\"2020/03/31\", \"I bought some nectarines, guava, chocolate milk, mouth wash, body lotion from the grocery store. I saw Piper, Piper, Eva, Rylee, Hazel, Lydia, Claire, Nevaeh, Avery, Kinsley at the grocery store.\", \"nectarines, guava\", \"chocolate milk\", \"mouth wash, body lotion\", \"Piper, Piper, Eva, Rylee, Hazel, Lydia, Claire, Nevaeh, Avery, Kinsley\"], \"text_template_based\": \"I bought some nectarines, guava, chocolate milk, mouth wash, body lotion from the grocery store. I saw Piper, Piper, Eva, Rylee, Hazel, Lydia, Claire, Nevaeh, Avery, Kinsley at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/03/31?\", \"nectarines, guava, chocolate milk, and mouth wash, body lotion\"], [\"what fruits did I buy from the grocery store on 2020/03/31?\", \"nectarines, guava\"], [\"what drinks did I buy from the grocery store on 2020/03/31?\", \"chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2020/03/31?\", \"mouth wash, body lotion\"], [\"who did I see at the grocery store on 2020/03/31?\", \"Piper, Piper, Eva, Rylee, Hazel, Lydia, Claire, Nevaeh, Avery, Kinsley\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6627\", \"logical_representation\": [\"2020/03/31\", \"breakfast\", \"oatmeal\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/03/31\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2020/04/11\": {\"dating\": {\"eid\": \"e6441\", \"logical_representation\": [\"2020/04/11\", \"Michael\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Michael on 2020/04/11 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/04/11\", \"Michael\"], [\"where did I go for the date on 2020/04/11\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6645\", \"logical_representation\": [\"2020/04/11\", \"dinner\", \"pasta\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6646\", \"logical_representation\": [\"2020/04/11\", \"Eva, Nora, Layla\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I talked to Eva, Nora, Layla for 28 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Layla late in the evening on 2020/04/11?\", \"28 minutes\"], [\"who did I talk to on 2020/04/11?\", \"Eva, Nora, Layla\"], [\"Did I talk to Eva, Nora, Layla on 2020/04/11?\", \"yes\"], [\"Did I talk to anyone on 2020/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/10\": {\"hobbies\": {\"eid\": \"e6442\", \"logical_representation\": [\"2020/04/10\", \"I really enjoyed working out on 2020/04/10\", \"working out\", \"Emily, Carter\"], \"text_template_based\": \"I really enjoyed working out on 2020/04/10\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do working out?\", \"2020/04/10\"], [\"On 2020/04/10, which hobby did I spend time on?\", \"working out\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6644\", \"logical_representation\": [\"2020/04/10\", \"Nevaeh, Eva, Rylee, Hazel\", \"late in the evening\", \"7 minutes\"], \"text_template_based\": \"I spent 7 talking to Nevaeh, Eva, Rylee, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva, Rylee, Hazel late in the evening on 2020/04/10?\", \"7 minutes\"], [\"who did I talk to on 2020/04/10?\", \"Nevaeh, Eva, Rylee, Hazel\"], [\"Did I talk to Nevaeh, Eva, Rylee, Hazel on 2020/04/10?\", \"yes\"], [\"Did I talk to anyone on 2020/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/08\": {\"grocery\": {\"eid\": \"e6443\", \"logical_representation\": [\"2020/04/08\", \"I bought some blackberries, pineapple juice, chocolate milk, apple juice, paper towel online.\", \"blackberries\", \"pineapple juice, chocolate milk, apple juice\", \"paper towel\", \"Piper, Nora, Claire, Kinsley, Nevaeh\"], \"text_template_based\": \"I bought some 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I bought some mangos, pineapples, sports drinks, pineapple juice, mineral water, tea, and shampoo, toothbrush, paper towel, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/04/20?\", \"mangos, pineapples, sports drinks, pineapple juice, mineral water, tea, and shampoo, toothbrush, paper towel, mouth wash\"], [\"what fruits did I buy from the grocery store on 2020/04/20?\", \"mangos, pineapples\"], [\"what drinks did I buy from the grocery store on 2020/04/20?\", \"sports drinks, pineapple juice, mineral water, tea\"], [\"what toiletries did I buy from the grocery store on 2020/04/20?\", \"shampoo, toothbrush, paper towel, mouth wash\"], [\"who was with me at the grocery store on 2020/04/20?\", \"Piper, Nevaeh, Hazel, Avery, Lydia, Kinsley, Eva, Olivia\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6656\", \"logical_representation\": [\"2020/04/20\", \"dinner\", \"sandwich\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/04/23\": {\"grocery\": {\"eid\": \"e6447\", \"logical_representation\": [\"2020/04/23\", \"I went grocery shopping with Jackson, Willow, Benjamin, Avery. 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I bought some guava, cherres, raspberries, mangos, guava juice, milk, chocolate milk, and mouthwash, facial wash, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/04/23?\", \"guava, cherres, raspberries, mangos, guava juice, milk, chocolate milk, and mouthwash, facial wash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2020/04/23?\", \"guava, cherres, raspberries, mangos\"], [\"what drinks did I buy from the grocery store on 2020/04/23?\", \"guava juice, milk, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2020/04/23?\", \"mouthwash, facial wash, toothbrush\"], [\"who was with me at the grocery store on 2020/04/23?\", \"Jackson, Willow, Benjamin, Avery\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6660\", \"logical_representation\": [\"2020/04/23\", \"dinner\", \"chinese food\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I had dinner with Carter, Andrew, Kayden. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/04/23?\", \"Carter, Andrew, Kayden\"], [\"what did I eat for dinner on 2020/04/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6661\", \"logical_representation\": [\"2020/04/23\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/04/23?\", \"48 minutes\"], [\"what did I read on 2020/04/23?\", \"news\"], [\"Did I read on 2020/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/13\": {\"dating\": {\"eid\": \"e6450\", \"logical_representation\": [\"2020/05/13\", \"Claire\", \"a park\"], \"text_template_based\": \"On 2020/05/13, I took Claire on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/05/13\", \"Claire\"], [\"where did I go for the 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[\"Did I talk to anyone on 2020/05/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/01\": {\"dating\": {\"eid\": \"e6453\", \"logical_representation\": [\"2020/06/01\", \"Ellie\", \"a boba shop\"], \"text_template_based\": \"On 2020/06/01, I took Ellie on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/06/01\", \"Ellie\"], [\"where did I go for the date on 2020/06/01\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6724\", \"logical_representation\": [\"2020/06/01\", \"dinner\", \"sushi\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/01\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6725\", \"logical_representation\": [\"2020/06/01\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading news today.\", 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I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/07/18?\", \"Eva, Rylee, Olivia, Claire, Nora, Nevaeh, Hazel, Layla, Piper, Piper, Kinsley, Avery, Lydia\"], [\"what did I eat for breakfast on 2020/07/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6800\", \"logical_representation\": [\"2020/07/18\", \"lunch\", \"pasta\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had pasta for lunch with Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/07/18?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2020/07/18\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6801\", \"logical_representation\": [\"2020/07/18\", \"dinner\", \"tacos\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/18\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2020/07/28\": {\"hobbies\": {\"eid\": \"e6459\", \"logical_representation\": [\"2020/07/28\", \"I spent some time meditation on 2020/07/28.\", \"meditation\", \"Eva, Rylee, Nora\"], \"text_template_based\": \"I spent some time meditation on 2020/07/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2020/07/28\"], [\"On 2020/07/28, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6807\", \"logical_representation\": [\"2020/07/28\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/07/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/28?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6808\", \"logical_representation\": [\"2020/07/28\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/07/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6809\", \"logical_representation\": [\"2020/07/28\", \"dinner\", \"sandwich\", \"Piper, Eva, Lydia, Layla, Rylee, Hazel, Nevaeh, Claire, Nora, Piper, Avery, Kinsley\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6810\", \"logical_representation\": [\"2020/07/28\", \"news\", \"5 minutes\"], \"text_template_based\": \"I watched news for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/28?\", \"5 minutes\"], [\"what did I watch on tv on 2020/07/28?\", \"news\"], [\"Did I watch tv on 2020/07/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/09\": {\"dating\": {\"eid\": \"e6460\", \"logical_representation\": [\"2020/08/09\", \"Eva\", \"a restaurant\"], \"text_template_based\": \"On 2020/08/09, I took Eva on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/08/09\", \"Eva\"], [\"where did I go for the date on 2020/08/09\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6462\", \"logical_representation\": [\"2020/08/09\", \"I bought some blackberries, coffee, soda, toothpaste, body lotion, conditioner from the grocery store. I saw Kayden at the grocery store.\", \"blackberries\", \"coffee, soda\", \"toothpaste, body lotion, conditioner\", \"Kayden\"], \"text_template_based\": \"I bought some blackberries, coffee, soda, toothpaste, body lotion, conditioner from the grocery store. I saw Kayden at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/08/09?\", \"blackberries, coffee, soda, and toothpaste, body lotion, conditioner\"], [\"what fruits did I buy from the grocery store on 2020/08/09?\", \"blackberries\"], [\"what drinks did I buy from the grocery store on 2020/08/09?\", \"coffee, soda\"], [\"what toiletries did I buy from the grocery store on 2020/08/09?\", \"toothpaste, body lotion, conditioner\"], [\"who did I see at the grocery store on 2020/08/09?\", \"Kayden\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6830\", \"logical_representation\": [\"2020/08/09\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/08/09?\", \"9 minutes\"], [\"what did I read on 2020/08/09?\", \"social media\"], [\"Did I read on 2020/08/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/10\": {\"hobbies\": {\"eid\": \"e6461\", \"logical_representation\": [\"2020/08/10\", \"I spent time yoga on 2020/08/10 with Carter.\", \"yoga\", \"Carter\"], \"text_template_based\": \"I spent time yoga on 2020/08/10 with Carter.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Carter?\", \"2020/08/10\"], [\"On 2020/08/10, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2020/08/10?\", \"Carter\"]], \"multihop_qa_pairs\": []}}, \"2020/08/16\": {\"dating\": {\"eid\": \"e6463\", \"logical_representation\": [\"2020/08/16\", \"Lillian\", \"a boba shop\"], \"text_template_based\": \"On 2020/08/16, I took Lillian on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/08/16\", \"Lillian\"], [\"where did I go for the date on 2020/08/16\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6835\", \"logical_representation\": [\"2020/08/16\", \"a documentary\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/16?\", \"51 minutes\"], [\"what did I watch on tv on 2020/08/16?\", \"a documentary\"], [\"Did I watch tv on 2020/08/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/17\": {\"grocery\": {\"eid\": \"e6464\", \"logical_representation\": [\"2020/08/17\", \"I bought some cherres, nectarines, mangos, peaches, mango juice, apple juice, pineapple juice, toothpaste, paper towel, facial wash, body lotion online.\", \"cherres, nectarines, mangos, peaches\", \"mango juice, apple juice, pineapple juice\", \"toothpaste, paper towel, facial wash, body lotion\", \"Avery, Benjamin\"], \"text_template_based\": \"I bought some cherres, nectarines, mangos, peaches, mango juice, apple juice, pineapple juice, toothpaste, paper towel, facial wash, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/08/17?\", \"cherres, nectarines, mangos, peaches, mango juice, apple juice, pineapple juice, and toothpaste, paper towel, facial wash, body lotion\"], [\"what fruits did I buy online on 2020/08/17?\", \"cherres, nectarines, mangos, peaches\"], [\"what drinks did I buy online on 2020/08/17?\", \"mango juice, apple juice, pineapple juice\"], [\"what toiletries did I buy online on 2020/08/17?\", \"toothpaste, paper towel, facial wash, body lotion\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6836\", \"logical_representation\": [\"2020/08/17\", \"lunch\", \"a burger\", \"Piper, Layla, Eva, Piper, Olivia, Nevaeh, Lydia, Rylee\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/08/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6837\", \"logical_representation\": [\"2020/08/17\", \"dinner\", \"sandwich\", \"Eva, Layla, Piper, Lydia, Nora, Kinsley, Hazel, Olivia, Claire\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6838\", \"logical_representation\": [\"2020/08/17\", \"Claire, Nevaeh, Nora\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Claire, Nevaeh, Nora for 26 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh, Nora in the early afternoon on 2020/08/17?\", \"26 minutes\"], [\"who did I talk to on 2020/08/17?\", \"Claire, Nevaeh, Nora\"], [\"Did I talk to Claire, Nevaeh, Nora on 2020/08/17?\", \"yes\"], [\"Did I talk to anyone on 2020/08/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/20\": {\"dating\": {\"eid\": \"e6465\", \"logical_representation\": [\"2020/08/20\", \"Marzieh\", \"a boba shop\"], \"text_template_based\": \"On 2020/08/20, I took Marzieh on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/08/20\", \"Marzieh\"], [\"where did I go for the date on 2020/08/20\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6839\", \"logical_representation\": [\"2020/08/20\", \"dinner\", \"indian food\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/20\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6840\", \"logical_representation\": [\"2020/08/20\", \"Nora\", \"in the late afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Nora for 10 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the late afternoon on 2020/08/20?\", \"10 minutes\"], [\"who did I talk to on 2020/08/20?\", \"Nora\"], [\"Did I talk to Nora on 2020/08/20?\", \"yes\"], [\"Did I talk to anyone on 2020/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6841\", \"logical_representation\": [\"2020/08/20\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/08/20?\", \"17 minutes\"], [\"what did I read on 2020/08/20?\", \"social media\"], [\"Did I read on 2020/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/23\": {\"dating\": {\"eid\": \"e6466\", \"logical_representation\": [\"2020/08/23\", \"Jordan\", \"a boba shop\"], \"text_template_based\": \"On 2020/08/23, I took Jordan on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/08/23\", \"Jordan\"], [\"where did I go for the date on 2020/08/23\", \"a boba shop\"]], \"multihop_qa_pairs\": []}}, \"2020/08/24\": {\"hobbies\": {\"eid\": \"e6467\", \"logical_representation\": [\"2020/08/24\", \"I spent time yoga on 2020/08/24 with Kinsley, Hazel.\", \"yoga\", \"Kinsley, Hazel\"], \"text_template_based\": \"I spent time yoga on 2020/08/24 with Kinsley, Hazel.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Kinsley, Hazel?\", \"2020/08/24\"], [\"On 2020/08/24, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2020/08/24?\", \"Kinsley, Hazel\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6844\", \"logical_representation\": [\"2020/08/24\", \"dinner\", \"tacos\", \"Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/24\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2020/09/01\": {\"dating\": {\"eid\": \"e6468\", \"logical_representation\": [\"2020/09/01\", \"Silas\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Silas on 2020/09/01 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/09/01\", \"Silas\"], [\"where did I go for the date on 2020/09/01\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6856\", \"logical_representation\": [\"2020/09/01\", \"dinner\", \"a burger\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6857\", \"logical_representation\": [\"2020/09/01\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/01?\", \"39 minutes\"], [\"what did I watch on tv on 2020/09/01?\", \"news\"], [\"Did I watch tv on 2020/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/04\": {\"grocery\": {\"eid\": \"e6469\", \"logical_representation\": [\"2020/09/04\", \"I went grocery shopping with Nora, Layla, Olivia, Kinsley, Hazel, Rylee, Avery, Lydia, Nevaeh, Piper, Claire, Eva, Piper. I bought some blueberries, apricots, bananas, pineapples, guava juice, chocolate milk, and toilet paper\", \"blueberries, apricots, bananas, pineapples\", \"guava juice, chocolate milk\", \"toilet paper\", \"Nora, Layla, Olivia, Kinsley, Hazel, Rylee, Avery, Lydia, Nevaeh, Piper, Claire, Eva, Piper\"], \"text_template_based\": \"I went grocery shopping with Nora, Layla, Olivia, Kinsley, Hazel, Rylee, Avery, Lydia, Nevaeh, Piper, Claire, Eva, Piper. I bought some blueberries, apricots, bananas, pineapples, guava juice, chocolate milk, and toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/09/04?\", \"blueberries, apricots, bananas, pineapples, guava juice, chocolate milk, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2020/09/04?\", \"blueberries, apricots, bananas, pineapples\"], [\"what drinks did I buy from the grocery store on 2020/09/04?\", \"guava juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2020/09/04?\", \"toilet paper\"], [\"who was with me at the grocery store on 2020/09/04?\", \"Nora, Layla, Olivia, Kinsley, Hazel, Rylee, Avery, Lydia, Nevaeh, Piper, Claire, Eva, Piper\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6861\", \"logical_representation\": [\"2020/09/04\", \"dinner\", \"sandwich\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/09/15\": {\"hobbies\": {\"eid\": \"e6470\", \"logical_representation\": [\"2020/09/15\", \"I really enjoyed yoga on 2020/09/15\", \"yoga\", \"Andrew, Emily\"], \"text_template_based\": \"I really enjoyed yoga on 2020/09/15\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2020/09/15\"], [\"On 2020/09/15, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6879\", \"logical_representation\": [\"2020/09/15\", \"breakfast\", \"oatmeal\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/09/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6880\", \"logical_representation\": [\"2020/09/15\", \"dinner\", \"sandwich\", \"Lydia, Claire, Avery, Piper, Eva, Olivia, Kinsley, Hazel, Layla, Nevaeh, Piper\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/09/09\": {\"grocery\": {\"eid\": \"e6471\", \"logical_representation\": [\"2020/09/09\", \"I bought some pears, oranges, apples, soda, chocolate milk, apple juice, pineapple juice, shaving cream, facial wash online.\", \"pears, oranges, apples\", \"soda, chocolate milk, apple juice, pineapple juice\", \"shaving cream, facial wash\", \"Layla, Piper, Avery, Hazel, Nevaeh\"], \"text_template_based\": \"I bought some pears, oranges, apples, soda, chocolate milk, apple juice, pineapple juice, shaving cream, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/09/09?\", \"pears, oranges, apples, soda, chocolate milk, apple juice, pineapple juice, and shaving cream, facial wash\"], [\"what fruits did I buy online on 2020/09/09?\", \"pears, oranges, apples\"], [\"what drinks did I buy online on 2020/09/09?\", \"soda, chocolate milk, apple juice, pineapple juice\"], [\"what toiletries did I buy online on 2020/09/09?\", \"shaving cream, facial wash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6870\", \"logical_representation\": [\"2020/09/09\", \"Claire, Nevaeh\", \"in the late afternoon\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Claire, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Nevaeh in the late afternoon on 2020/09/09?\", \"40 minutes\"], [\"who did I talk to on 2020/09/09?\", \"Claire, Nevaeh\"], [\"Did I talk to Claire, Nevaeh on 2020/09/09?\", \"yes\"], [\"Did I talk to anyone on 2020/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/12\": {\"grocery\": {\"eid\": \"e6472\", \"logical_representation\": [\"2020/09/12\", \"I went grocery shopping with Lydia, Olivia, Nevaeh, Eva, Layla, Avery, Piper, Rylee, Nora, Claire. I bought some apricots, guava, blackberries, chocolate milk, orange juice, apple juice, and shaving cream, facial wash, paper towel, shampoo\", \"apricots, guava, blackberries\", \"chocolate milk, orange juice, apple juice\", \"shaving cream, facial wash, paper towel, shampoo\", \"Lydia, Olivia, Nevaeh, Eva, Layla, Avery, Piper, Rylee, Nora, Claire\"], \"text_template_based\": \"I went grocery shopping with Lydia, Olivia, Nevaeh, Eva, Layla, Avery, Piper, Rylee, Nora, Claire. I bought some apricots, guava, blackberries, chocolate milk, orange juice, apple juice, and shaving cream, facial wash, paper towel, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/09/12?\", \"apricots, guava, blackberries, chocolate milk, orange juice, apple juice, and shaving cream, facial wash, paper towel, shampoo\"], [\"what fruits did I buy from the grocery store on 2020/09/12?\", \"apricots, guava, blackberries\"], [\"what drinks did I buy from the grocery store on 2020/09/12?\", \"chocolate milk, orange juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2020/09/12?\", \"shaving cream, facial wash, paper towel, shampoo\"], [\"who was with me at the grocery store on 2020/09/12?\", \"Lydia, Olivia, Nevaeh, Eva, Layla, Avery, Piper, Rylee, Nora, Claire\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6873\", \"logical_representation\": [\"2020/09/12\", \"biking\"], \"text_template_based\": \"I did biking on 2020/09/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/12?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6874\", \"logical_representation\": [\"2020/09/12\", \"social media\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/09/12?\", \"31 minutes\"], [\"what did I read on 2020/09/12?\", \"social media\"], [\"Did I read on 2020/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6875\", \"logical_representation\": [\"2020/09/12\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/12?\", \"29 minutes\"], [\"what did I watch on tv on 2020/09/12?\", \"a movie\"], [\"Did I watch tv on 2020/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/21\": {\"dating\": {\"eid\": \"e6473\", \"logical_representation\": [\"2020/09/21\", \"Piper\", \"a coffee Shop\"], \"text_template_based\": \"On 2020/09/21, I took Piper on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/09/21\", \"Piper\"], [\"where did I go for the date on 2020/09/21\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6891\", \"logical_representation\": [\"2020/09/21\", \"Kinsley, Rylee, Hazel\", \"in the early evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Kinsley, Rylee, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Rylee, Hazel in the early evening on 2020/09/21?\", \"26 minutes\"], [\"who did I talk to on 2020/09/21?\", \"Kinsley, Rylee, Hazel\"], [\"Did I talk to Kinsley, Rylee, Hazel on 2020/09/21?\", \"yes\"], [\"Did I talk to anyone on 2020/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/22\": {\"grocery\": {\"eid\": \"e6474\", \"logical_representation\": [\"2020/09/22\", \"I went grocery shopping with Andrew, Emily, Kayden, Carter. I bought some strawberries, peaches, apples, mineral water, coffee, apple juice, and body lotion, shampoo, mouth wash, toothbrush\", \"strawberries, peaches, apples\", \"mineral water, coffee, apple juice\", \"body lotion, shampoo, mouth wash, toothbrush\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping with Andrew, Emily, Kayden, Carter. I bought some strawberries, peaches, apples, mineral water, coffee, apple juice, and body lotion, shampoo, mouth wash, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/09/22?\", \"strawberries, peaches, apples, mineral water, coffee, apple juice, and body lotion, shampoo, mouth wash, toothbrush\"], [\"what fruits did I buy from the grocery store on 2020/09/22?\", \"strawberries, peaches, apples\"], [\"what drinks did I buy from the grocery store on 2020/09/22?\", \"mineral water, coffee, apple juice\"], [\"what toiletries did I buy from the grocery store on 2020/09/22?\", \"body lotion, shampoo, mouth wash, toothbrush\"], [\"who was with me at the grocery store on 2020/09/22?\", \"Andrew, Emily, Kayden, Carter\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6892\", \"logical_representation\": [\"2020/09/22\", \"biking\"], \"text_template_based\": \"I did biking on 2020/09/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6893\", \"logical_representation\": [\"2020/09/22\", \"Kinsley\", \"in the early afternoon\", \"37 minutes\"], \"text_template_based\": \"I talked to Kinsley for 37 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2020/09/22?\", \"37 minutes\"], [\"who did I talk to on 2020/09/22?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2020/09/22?\", \"yes\"], [\"Did I talk to anyone on 2020/09/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/28\": {\"hobbies\": {\"eid\": \"e6475\", \"logical_representation\": [\"2020/09/28\", \"I spent time meditation on 2020/09/28 with Nora.\", \"meditation\", \"Nora\"], \"text_template_based\": \"I spent time meditation on 2020/09/28 with Nora.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on meditation with Nora?\", \"2020/09/28\"], [\"On 2020/09/28, which hobby did I spend time on?\", \"meditation\"], [\"who was with me when I was spending time on meditation on 2020/09/28?\", \"Nora\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6900\", \"logical_representation\": [\"2020/09/28\", \"dinner\", \"pasta\", \"Willow\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/28\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2020/09/29\": {\"grocery\": {\"eid\": \"e6476\", \"logical_representation\": [\"2020/09/29\", \"I bought some peaches, chocolate milk, paper towel, facial wash, toilet paper, body lotion online.\", \"peaches\", \"chocolate milk\", \"paper towel, facial wash, toilet paper, body lotion\", \"Emily, Kayden\"], \"text_template_based\": \"I bought some peaches, chocolate milk, paper towel, facial wash, toilet paper, body lotion online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/09/29?\", \"peaches, chocolate milk, and paper towel, facial wash, toilet paper, body lotion\"], [\"what fruits did I buy online on 2020/09/29?\", \"peaches\"], [\"what drinks did I buy online on 2020/09/29?\", \"chocolate milk\"], [\"what toiletries did I buy online on 2020/09/29?\", \"paper towel, facial wash, toilet paper, body lotion\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6901\", \"logical_representation\": [\"2020/09/29\", \"Piper, Layla, Avery, Nora\", \"during lunch hours\", \"49 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Avery, Nora for 49 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Avery, Nora during lunch hours on 2020/09/29?\", \"49 minutes\"], [\"who did I talk to on 2020/09/29?\", \"Piper, Layla, Avery, Nora\"], [\"Did I talk to Piper, Layla, Avery, Nora on 2020/09/29?\", \"yes\"], [\"Did I talk to anyone on 2020/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6902\", \"logical_representation\": [\"2020/09/29\", \"a book\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/09/29?\", \"11 minutes\"], [\"what did I read on 2020/09/29?\", \"a book\"], [\"Did I read on 2020/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/06\": {\"dating\": {\"eid\": \"e6477\", \"logical_representation\": [\"2020/10/06\", \"Aaliyah\", \"a boba shop\"], \"text_template_based\": \"On 2020/10/06, I took Aaliyah on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/10/06\", \"Aaliyah\"], [\"where did I go for the date on 2020/10/06\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6909\", \"logical_representation\": [\"2020/10/06\", \"a movie\", \"16 minutes\"], \"text_template_based\": \"I watched a movie for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/06?\", \"16 minutes\"], [\"what did I watch on tv on 2020/10/06?\", \"a movie\"], [\"Did I watch tv on 2020/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/04\": {\"hobbies\": {\"eid\": \"e6478\", \"logical_representation\": [\"2020/10/04\", \"I really enjoyed learning a language on 2020/10/04\", \"learning a language\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I really enjoyed learning a language on 2020/10/04\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2020/10/04\"], [\"On 2020/10/04, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6908\", \"logical_representation\": [\"2020/10/04\", \"Piper, Kinsley, Hazel, Avery\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Piper, Kinsley, Hazel, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Hazel, Avery late in the evening on 2020/10/04?\", \"17 minutes\"], [\"who did I talk to on 2020/10/04?\", \"Piper, Kinsley, Hazel, Avery\"], [\"Did I talk to Piper, Kinsley, Hazel, Avery on 2020/10/04?\", \"yes\"], [\"Did I talk to anyone on 2020/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/03\": {\"grocery\": {\"eid\": \"e6479\", \"logical_representation\": [\"2020/10/03\", \"I went grocery shopping. I bought some raspberries, peaches, blueberries, apple juice, mineral water, guava juice, soda, and mouthwash, body lotion, facial wash, shaving cream\", \"raspberries, peaches, blueberries\", \"apple juice, mineral water, guava juice, soda\", \"mouthwash, body lotion, facial wash, shaving cream\", \"Nora, Hazel, Piper, Kinsley, Claire\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, peaches, blueberries, apple juice, mineral water, guava juice, soda, and mouthwash, body lotion, facial wash, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/10/03?\", \"raspberries, peaches, blueberries, apple juice, mineral water, guava juice, soda, and mouthwash, body lotion, facial wash, shaving cream\"], [\"what fruits did I buy from the grocery store on 2020/10/03?\", \"raspberries, peaches, blueberries\"], [\"what drinks did I buy from the grocery store on 2020/10/03?\", \"apple juice, mineral water, guava juice, soda\"], [\"what toiletries did I buy from the grocery store on 2020/10/03?\", \"mouthwash, body lotion, facial wash, shaving cream\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6906\", \"logical_representation\": [\"2020/10/03\", \"dinner\", \"tacos\", \"Eva, Nevaeh\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/10/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6907\", \"logical_representation\": [\"2020/10/03\", \"Rylee, Nevaeh\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh for 36 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh during lunch hours on 2020/10/03?\", \"36 minutes\"], [\"who did I talk to on 2020/10/03?\", \"Rylee, Nevaeh\"], [\"Did I talk to Rylee, Nevaeh on 2020/10/03?\", \"yes\"], [\"Did I talk to anyone on 2020/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/07\": {\"hobbies\": {\"eid\": \"e6480\", \"logical_representation\": [\"2020/10/07\", \"I spent time yoga on 2020/10/07 with Andrew.\", \"yoga\", \"Andrew\"], \"text_template_based\": \"I spent time yoga on 2020/10/07 with Andrew.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Andrew?\", \"2020/10/07\"], [\"On 2020/10/07, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2020/10/07?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6910\", \"logical_representation\": [\"2020/10/07\", \"lunch\", \"chinese food\", \"Jackson, Avery\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/10/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6911\", \"logical_representation\": [\"2020/10/07\", \"a book\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/10/07?\", \"49 minutes\"], [\"what did I read on 2020/10/07?\", \"a book\"], [\"Did I read on 2020/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/09\": {\"grocery\": {\"eid\": \"e6481\", \"logical_representation\": [\"2020/10/09\", \"I went grocery shopping. I bought some peaches, guava, raspberries, strawberries, chocolate milk, mineral water, orange juice, milk, and toothpaste, body lotion, conditioner, paper towel\", \"peaches, guava, raspberries, strawberries\", \"chocolate milk, mineral water, orange juice, milk\", \"toothpaste, body lotion, conditioner, paper towel\", \"Nora, Piper, Eva, Rylee\"], \"text_template_based\": \"I went grocery shopping. I bought some peaches, guava, raspberries, strawberries, chocolate milk, mineral water, orange juice, milk, and toothpaste, body lotion, conditioner, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/10/09?\", \"peaches, guava, raspberries, strawberries, chocolate milk, mineral water, orange juice, milk, and toothpaste, body lotion, conditioner, paper towel\"], [\"what fruits did I buy from the grocery store on 2020/10/09?\", \"peaches, guava, raspberries, strawberries\"], [\"what drinks did I buy from the grocery store on 2020/10/09?\", \"chocolate milk, mineral water, orange juice, milk\"], [\"what toiletries did I buy from the grocery store on 2020/10/09?\", \"toothpaste, body lotion, conditioner, paper towel\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6915\", \"logical_representation\": [\"2020/10/09\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/10/09?\", \"27 minutes\"], [\"what did I read on 2020/10/09?\", \"news\"], [\"Did I read on 2020/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/11\": {\"grocery\": {\"eid\": \"e6482\", \"logical_representation\": [\"2020/10/11\", \"I went grocery shopping. I bought some blueberries, mineral water, sports drinks, orange juice, and mouth wash, facial wash\", \"blueberries\", \"mineral water, sports drinks, orange juice\", \"mouth wash, facial wash\", \"Olivia, Avery, Kinsley, Nevaeh, Claire, Nora, Layla, Piper, Eva\"], \"text_template_based\": \"I went grocery shopping. I bought some blueberries, mineral water, sports drinks, orange juice, and mouth wash, facial wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/10/11?\", \"blueberries, mineral water, sports drinks, orange juice, and mouth wash, facial wash\"], [\"what fruits did I buy from the grocery store on 2020/10/11?\", \"blueberries\"], [\"what drinks did I buy from the grocery store on 2020/10/11?\", \"mineral water, sports drinks, orange juice\"], [\"what toiletries did I buy from the grocery store on 2020/10/11?\", \"mouth wash, facial wash\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6917\", \"logical_representation\": [\"2020/10/11\", \"dinner\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I had dinner with Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/10/11?\", \"Carter\"], [\"what did I eat for dinner on 2020/10/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2020/10/27\": {\"dating\": {\"eid\": \"e6483\", \"logical_representation\": [\"2020/10/27\", \"Owen\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Owen on 2020/10/27 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/10/27\", \"Owen\"], [\"where did I go for the date on 2020/10/27\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6943\", \"logical_representation\": [\"2020/10/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/10/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6944\", \"logical_representation\": [\"2020/10/27\", \"dinner\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/10/27?\", \"Emily\"], [\"what did I eat for dinner on 2020/10/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6945\", \"logical_representation\": [\"2020/10/27\", \"Eva, Piper, Layla, Claire\", \"during lunch hours\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Eva, Piper, Layla, Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Piper, Layla, Claire during lunch hours on 2020/10/27?\", \"39 minutes\"], [\"who did I talk to on 2020/10/27?\", \"Eva, Piper, Layla, Claire\"], [\"Did I talk to Eva, Piper, Layla, Claire on 2020/10/27?\", \"yes\"], [\"Did I talk to anyone on 2020/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6946\", \"logical_representation\": [\"2020/10/27\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/10/27?\", \"30 minutes\"], [\"what did I read on 2020/10/27?\", \"social media\"], [\"Did I read on 2020/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/25\": {\"hobbies\": {\"eid\": \"e6484\", \"logical_representation\": [\"2020/10/25\", \"I spent time learning a language on 2020/10/25 with Carter, Emily.\", \"learning a language\", \"Carter, Emily\"], \"text_template_based\": \"I spent time learning a language on 2020/10/25 with Carter, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Carter, Emily?\", \"2020/10/25\"], [\"On 2020/10/25, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2020/10/25?\", \"Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6939\", \"logical_representation\": [\"2020/10/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/10/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6940\", \"logical_representation\": [\"2020/10/25\", \"Lydia, Piper\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Lydia, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Piper in the early evening on 2020/10/25?\", \"17 minutes\"], [\"who did I talk to on 2020/10/25?\", \"Lydia, Piper\"], [\"Did I talk to Lydia, Piper on 2020/10/25?\", \"yes\"], [\"Did I talk to anyone on 2020/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/03\": {\"cook\": {\"eid\": \"e6485\", \"logical_representation\": [\"2020/11/03\", \"I entertained Claire, Olivia at my place on 2020/11/03 and cook cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla\", \"cook\", \"cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla\", \"Claire, Olivia\", \"my place\"], \"text_template_based\": \"I entertained Claire, Olivia at my place on 2020/11/03 and cook cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I cook cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla with Claire, Olivia?\", \"2020/11/03\"], [\"what did I cook on 2020/11/03?\", \"cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla\"], [\"who was I with when I  cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla on 2020/11/03?\", \"Claire, Olivia\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e6486\", \"logical_representation\": [\"2020/11/03\", \"Rylee\", \"a coffee Shop\"], \"text_template_based\": \"On 2020/11/03, I took Rylee on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/11/03\", \"Rylee\"], [\"where did I go for the date on 2020/11/03\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6959\", \"logical_representation\": [\"2020/11/03\", \"social media\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/11/03?\", \"47 minutes\"], [\"what did I read on 2020/11/03?\", \"social media\"], [\"Did I read on 2020/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/08\": {\"hobbies\": {\"eid\": \"e6487\", \"logical_representation\": [\"2020/11/08\", \"I spent some time yoga on 2020/11/08.\", \"yoga\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I spent some time yoga on 2020/11/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do yoga?\", \"2020/11/08\"], [\"On 2020/11/08, which hobby did I spend time on?\", \"yoga\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6967\", \"logical_representation\": [\"2020/11/08\", \"running\"], \"text_template_based\": \"I did running on 2020/11/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6968\", \"logical_representation\": [\"2020/11/08\", \"breakfast\", \"pancakes\", \"Emily, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/11/08\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6969\", \"logical_representation\": [\"2020/11/08\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/08?\", \"17 minutes\"], [\"what did I watch on tv on 2020/11/08?\", \"news\"], [\"Did I watch tv on 2020/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/10\": {\"grocery\": {\"eid\": \"e6488\", \"logical_representation\": [\"2020/11/10\", \"I bought some pineapples, guava, bananas, milk, coffee, tea, facial wash online.\", \"pineapples, guava, bananas\", \"milk, coffee, tea\", \"facial wash\", \"Emily, Kayden\"], \"text_template_based\": \"I bought some pineapples, guava, bananas, milk, coffee, tea, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/11/10?\", \"pineapples, guava, bananas, milk, coffee, tea, and facial wash\"], [\"what fruits did I buy online on 2020/11/10?\", \"pineapples, guava, bananas\"], [\"what drinks did I buy online on 2020/11/10?\", \"milk, coffee, tea\"], [\"what toiletries did I buy online on 2020/11/10?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6971\", \"logical_representation\": [\"2020/11/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/11/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6972\", \"logical_representation\": [\"2020/11/10\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/10?\", \"26 minutes\"], [\"what did I watch on tv on 2020/11/10?\", \"a documentary\"], [\"Did I watch tv on 2020/11/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/17\": {\"dating\": {\"eid\": \"e6489\", \"logical_representation\": [\"2020/11/17\", \"Nora\", \"a coffee Shop\"], \"text_template_based\": \"On 2020/11/17, I took Nora on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/11/17\", \"Nora\"], [\"where did I go for the date on 2020/11/17\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6982\", \"logical_representation\": [\"2020/11/17\", \"lunch\", \"a burger\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/11/17\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6983\", \"logical_representation\": [\"2020/11/17\", \"dinner\", \"fish and chips\", \"Avery, Rylee, Eva, Piper\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/11/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6984\", \"logical_representation\": [\"2020/11/17\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/11/17?\", \"13 minutes\"], [\"what did I read on 2020/11/17?\", \"a book\"], [\"Did I read on 2020/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/14\": {\"hobbies\": {\"eid\": \"e6490\", \"logical_representation\": [\"2020/11/14\", \"I spent time working out on 2020/11/14 with Andrew, Emily.\", \"working out\", \"Andrew, Emily\"], \"text_template_based\": \"I spent time working out on 2020/11/14 with Andrew, Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on working out with Andrew, Emily?\", \"2020/11/14\"], [\"On 2020/11/14, which hobby did I spend time on?\", \"working out\"], [\"who was with me when I was spending time on working out on 2020/11/14?\", \"Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e6492\", \"logical_representation\": [\"2020/11/14\", \"I went grocery shopping with Andrew, Emily. I bought some mangos, blueberries, mandarins, pineapple juice, soda, guava juice, mango juice, and conditioner, toothbrush, toilet paper\", \"mangos, blueberries, mandarins\", \"pineapple juice, soda, guava juice, mango juice\", \"conditioner, toothbrush, toilet paper\", \"Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping with Andrew, Emily. I bought some mangos, blueberries, mandarins, pineapple juice, soda, guava juice, mango juice, and conditioner, toothbrush, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/11/14?\", \"mangos, blueberries, mandarins, pineapple juice, soda, guava juice, mango juice, and conditioner, toothbrush, toilet paper\"], [\"what fruits did I buy from the grocery store on 2020/11/14?\", \"mangos, blueberries, mandarins\"], [\"what drinks did I buy from the grocery store on 2020/11/14?\", \"pineapple juice, soda, guava juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2020/11/14?\", \"conditioner, toothbrush, toilet paper\"], [\"who was with me at the grocery store on 2020/11/14?\", \"Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6978\", \"logical_representation\": [\"2020/11/14\", \"biking\"], \"text_template_based\": \"I did biking on 2020/11/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/14?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2020/11/13\": {\"grocery\": {\"eid\": \"e6491\", \"logical_representation\": [\"2020/11/13\", \"I bought some pears, bananas, strawberries, nectarines, guava juice, pineapple juice, mouth wash, mouthwash, toilet paper, conditioner online.\", \"pears, bananas, strawberries, nectarines\", \"guava juice, pineapple juice\", \"mouth wash, mouthwash, toilet paper, conditioner\", \"Avery, Olivia, Layla, Piper, Eva\"], \"text_template_based\": \"I bought some pears, bananas, strawberries, nectarines, guava juice, pineapple juice, mouth wash, mouthwash, toilet paper, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/11/13?\", \"pears, bananas, strawberries, nectarines, guava juice, pineapple juice, and mouth wash, mouthwash, toilet paper, conditioner\"], [\"what fruits did I buy online on 2020/11/13?\", \"pears, bananas, strawberries, nectarines\"], [\"what drinks did I buy online on 2020/11/13?\", \"guava juice, pineapple juice\"], [\"what toiletries did I buy online on 2020/11/13?\", \"mouth wash, mouthwash, toilet paper, conditioner\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e6976\", \"logical_representation\": [\"2020/11/13\", \"biking\"], \"text_template_based\": \"I did biking on 2020/11/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6977\", \"logical_representation\": [\"2020/11/13\", \"Olivia, Piper, Claire, Avery\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Olivia, Piper, Claire, Avery for 14 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Piper, Claire, Avery in the late afternoon on 2020/11/13?\", \"14 minutes\"], [\"who did I talk to on 2020/11/13?\", \"Olivia, Piper, Claire, Avery\"], [\"Did I talk to Olivia, Piper, Claire, Avery on 2020/11/13?\", \"yes\"], [\"Did I talk to anyone on 2020/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/20\": {\"dating\": {\"eid\": \"e6493\", \"logical_representation\": [\"2020/11/20\", \"Brooklyn\", \"a park\"], \"text_template_based\": \"I went on a date with Brooklyn on 2020/11/20 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/11/20\", \"Brooklyn\"], [\"where did I go for the date on 2020/11/20\", \"a park\"]], \"multihop_qa_pairs\": []}}, \"2020/11/22\": {\"grocery\": {\"eid\": \"e6494\", \"logical_representation\": [\"2020/11/22\", \"I bought some blueberries, pineapples, watermelons, guava, soda, toothpaste, mouth wash, mouthwash, facial wash online.\", \"blueberries, pineapples, watermelons, guava\", \"soda\", \"toothpaste, mouth wash, mouthwash, facial wash\", \"Kinsley, Layla, Claire, Nora\"], \"text_template_based\": \"I bought some blueberries, pineapples, watermelons, guava, soda, toothpaste, mouth wash, mouthwash, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2020/11/22?\", \"blueberries, pineapples, watermelons, guava, soda, and toothpaste, mouth wash, mouthwash, facial wash\"], [\"what fruits did I buy online on 2020/11/22?\", \"blueberries, pineapples, watermelons, guava\"], [\"what drinks did I buy online on 2020/11/22?\", \"soda\"], [\"what toiletries did I buy online on 2020/11/22?\", \"toothpaste, mouth wash, mouthwash, facial wash\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6990\", \"logical_representation\": [\"2020/11/22\", \"a book\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/11/22?\", \"44 minutes\"], [\"what did I read on 2020/11/22?\", \"a book\"], [\"Did I read on 2020/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/16\": {\"dating\": {\"eid\": \"e6495\", \"logical_representation\": [\"2020/12/16\", \"Amelia\", \"a boba shop\"], \"text_template_based\": \"On 2020/12/16, I took Amelia on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2020/12/16\", \"Amelia\"], [\"where did I go for the date on 2020/12/16\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7023\", \"logical_representation\": [\"2020/12/16\", \"breakfast\", \"cereals\", \"Piper, Eva, Hazel, Nora, Lydia, Kinsley, Claire\"], \"text_template_based\": \"I had cereals for breakfast with Piper, Eva, Hazel, Nora, Lydia, Kinsley, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/12/16?\", \"Piper, Eva, Hazel, Nora, Lydia, Kinsley, Claire\"], [\"what did I eat for breakfast on 2020/12/16\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7024\", \"logical_representation\": [\"2020/12/16\", \"dinner\", \"tacos\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/12/16?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2020/12/16\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7025\", \"logical_representation\": [\"2020/12/16\", \"news\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/12/16?\", \"10 minutes\"], [\"what did I watch on tv on 2020/12/16?\", \"news\"], [\"Did I watch tv on 2020/12/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/22\": {\"grocery\": {\"eid\": \"e6496\", \"logical_representation\": [\"2020/12/22\", \"I went grocery shopping with Avery, Willow, Benjamin, Jackson. I bought some cherres, guava, bananas, apple juice, mineral water, and toothpaste, paper towel, toilet paper, toothbrush\", \"cherres, guava, bananas\", \"apple juice, mineral water\", \"toothpaste, paper towel, toilet paper, toothbrush\", \"Avery, Willow, Benjamin, Jackson\"], \"text_template_based\": \"I went grocery shopping with Avery, Willow, Benjamin, Jackson. I bought some cherres, guava, bananas, apple juice, mineral water, and toothpaste, paper towel, toilet paper, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/12/22?\", \"cherres, guava, bananas, apple juice, mineral water, and toothpaste, paper towel, toilet paper, toothbrush\"], [\"what fruits did I buy from the grocery store on 2020/12/22?\", \"cherres, guava, bananas\"], [\"what drinks did I buy from the grocery store on 2020/12/22?\", \"apple juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2020/12/22?\", \"toothpaste, paper towel, toilet paper, toothbrush\"], [\"who was with me at the grocery store on 2020/12/22?\", \"Avery, Willow, Benjamin, Jackson\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7032\", \"logical_representation\": [\"2020/12/22\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/12/22?\", \"29 minutes\"], [\"what did I read on 2020/12/22?\", \"news\"], [\"Did I read on 2020/12/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/28\": {\"grocery\": {\"eid\": \"e6497\", \"logical_representation\": [\"2020/12/28\", \"I went grocery shopping with Eva, Claire, Rylee, Nora, Olivia, Piper, Lydia, Nevaeh. I bought some apricots, mangos, pears, clementines, milk, soda, sports drinks, and shaving cream, conditioner\", \"apricots, mangos, pears, clementines\", \"milk, soda, sports drinks\", \"shaving cream, conditioner\", \"Eva, Claire, Rylee, Nora, Olivia, Piper, Lydia, Nevaeh\"], \"text_template_based\": \"I went grocery shopping with Eva, Claire, Rylee, Nora, Olivia, Piper, Lydia, Nevaeh. I bought some apricots, mangos, pears, clementines, milk, soda, sports drinks, and shaving cream, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2020/12/28?\", \"apricots, mangos, pears, clementines, milk, soda, sports drinks, and shaving cream, conditioner\"], [\"what fruits did I buy from the grocery store on 2020/12/28?\", \"apricots, mangos, pears, clementines\"], [\"what drinks did I buy from the grocery store on 2020/12/28?\", \"milk, soda, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2020/12/28?\", \"shaving cream, conditioner\"], [\"who was with me at the grocery store on 2020/12/28?\", \"Eva, Claire, Rylee, Nora, Olivia, Piper, Lydia, Nevaeh\"]], \"multihop_qa_pairs\": []}}, \"2020/12/31\": {\"hobbies\": {\"eid\": \"e6498\", \"logical_representation\": [\"2020/12/31\", \"I spent time yoga on 2020/12/31 with Piper, Hazel, Piper.\", \"yoga\", \"Piper, Hazel, Piper\"], \"text_template_based\": \"I spent time yoga on 2020/12/31 with Piper, Hazel, Piper.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Piper, Hazel, Piper?\", \"2020/12/31\"], [\"On 2020/12/31, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2020/12/31?\", \"Piper, Hazel, Piper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7046\", \"logical_representation\": [\"2020/12/31\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/12/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/31?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7047\", \"logical_representation\": [\"2020/12/31\", \"dinner\", \"fish and chips\", \"Avery, Nevaeh, Piper, Claire, Lydia, Piper, Hazel, Olivia, Nora, Eva, Rylee, Layla\"], \"text_template_based\": \"I had fish and chips for dinner with Avery, Nevaeh, Piper, Claire, Lydia, Piper, Hazel, Olivia, Nora, Eva, Rylee, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/12/31?\", \"Avery, Nevaeh, Piper, Claire, Lydia, Piper, Hazel, Olivia, Nora, Eva, Rylee, Layla\"], [\"what did I eat for dinner on 2020/12/31\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2020/01/02\": {\"chat0\": {\"eid\": \"e6499\", \"logical_representation\": [\"2020/01/02\", \"Nora, Olivia, Claire, Rylee\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Nora, Olivia, Claire, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Claire, Rylee late in the evening on 2020/01/02?\", \"21 minutes\"], [\"who did I talk to on 2020/01/02?\", \"Nora, Olivia, Claire, Rylee\"], [\"Did I talk to Nora, Olivia, Claire, Rylee on 2020/01/02?\", \"yes\"], [\"Did I talk to anyone on 2020/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6500\", \"logical_representation\": [\"2020/01/02\", \"news\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/01/02?\", \"43 minutes\"], [\"what did I read on 2020/01/02?\", \"news\"], [\"Did I read on 2020/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6501\", \"logical_representation\": [\"2020/01/02\", \"a movie\", \"53 minutes\"], \"text_template_based\": \"I watched a movie for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/02?\", \"53 minutes\"], [\"what did I watch on tv on 2020/01/02?\", \"a movie\"], [\"Did I watch tv on 2020/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/03\": {\"lunch\": {\"eid\": \"e6502\", \"logical_representation\": [\"2020/01/03\", \"lunch\", \"pasta\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/03\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2020/01/04\": {\"read\": {\"eid\": \"e6503\", \"logical_representation\": [\"2020/01/04\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/01/04?\", \"19 minutes\"], [\"what did I read on 2020/01/04?\", \"a book\"], [\"Did I read on 2020/01/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/05\": {\"dinner\": {\"eid\": \"e6504\", \"logical_representation\": [\"2020/01/05\", \"dinner\", \"sandwich\", \"Willow\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/01/05\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6505\", \"logical_representation\": [\"2020/01/05\", \"Avery, Layla, Eva\", \"late in the evening\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Avery, Layla, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Layla, Eva late in the evening on 2020/01/05?\", \"31 minutes\"], [\"who did I talk to on 2020/01/05?\", \"Avery, Layla, Eva\"], [\"Did I talk to Avery, Layla, Eva on 2020/01/05?\", \"yes\"], [\"Did I talk to anyone on 2020/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6506\", \"logical_representation\": [\"2020/01/05\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/01/05?\", \"50 minutes\"], [\"what did I read on 2020/01/05?\", \"a book\"], [\"Did I read on 2020/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6507\", \"logical_representation\": [\"2020/01/05\", \"a movie\", \"51 minutes\"], \"text_template_based\": \"I watched a movie for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/05?\", \"51 minutes\"], [\"what did I watch on tv on 2020/01/05?\", \"a movie\"], [\"Did I watch tv on 2020/01/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/06\": {\"watch tv\": {\"eid\": \"e6508\", \"logical_representation\": [\"2020/01/06\", \"a documentary\", \"38 minutes\"], \"text_template_based\": \"I watched a documentary for 38 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/06?\", \"38 minutes\"], [\"what did I watch on tv on 2020/01/06?\", \"a documentary\"], [\"Did I watch tv on 2020/01/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/07\": {\"watch tv\": {\"eid\": \"e6509\", \"logical_representation\": [\"2020/01/07\", \"a movie\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/07?\", \"18 minutes\"], [\"what did I watch on tv on 2020/01/07?\", \"a movie\"], [\"Did I watch tv on 2020/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/08\": {\"exercise\": {\"eid\": \"e6510\", \"logical_representation\": [\"2020/01/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/01/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2020/01/09\": {\"lunch\": {\"eid\": \"e6511\", \"logical_representation\": [\"2020/01/09\", \"lunch\", \"indian food\", \"Nora, Claire, Avery, Piper, Piper, Nevaeh, Olivia, Hazel, Kinsley\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6512\", \"logical_representation\": [\"2020/01/09\", \"Nora, Claire, Lydia\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I talked to Nora, Claire, Lydia for 28 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Lydia late in the evening on 2020/01/09?\", \"28 minutes\"], [\"who did I talk to on 2020/01/09?\", \"Nora, Claire, Lydia\"], [\"Did I talk to Nora, Claire, Lydia on 2020/01/09?\", \"yes\"], [\"Did I talk to anyone on 2020/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/10\": {\"breakfast\": {\"eid\": \"e6513\", \"logical_representation\": [\"2020/01/10\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/01/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2020/01/15\": {\"watch tv\": {\"eid\": \"e6514\", \"logical_representation\": [\"2020/01/15\", \"a documentary\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/15?\", \"22 minutes\"], [\"what did I watch on tv on 2020/01/15?\", \"a documentary\"], [\"Did I watch tv on 2020/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/16\": {\"lunch\": {\"eid\": \"e6515\", \"logical_representation\": [\"2020/01/16\", \"lunch\", \"fish and chips\", \"Willow\"], \"text_template_based\": \"I prepare fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/16\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6516\", \"logical_representation\": [\"2020/01/16\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/01/16?\", \"14 minutes\"], [\"what did I read on 2020/01/16?\", \"social media\"], [\"Did I read on 2020/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/17\": {\"exercise\": {\"eid\": \"e6517\", \"logical_representation\": [\"2020/01/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/01/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6518\", \"logical_representation\": [\"2020/01/17\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I watched a tv series for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/17?\", \"18 minutes\"], [\"what did I watch on tv on 2020/01/17?\", \"a tv series\"], [\"Did I watch tv on 2020/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/18\": {\"exercise\": {\"eid\": \"e6519\", \"logical_representation\": [\"2020/01/18\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/01/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/18?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6520\", \"logical_representation\": [\"2020/01/18\", \"breakfast\", \"pancakes\", \"Eva, Kinsley, Hazel, Olivia, Claire\"], \"text_template_based\": \"I had pancakes for breakfast with Eva, Kinsley, Hazel, Olivia, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/01/18?\", \"Eva, Kinsley, Hazel, Olivia, Claire\"], [\"what did I eat for breakfast on 2020/01/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/19\": {\"dinner\": {\"eid\": \"e6521\", \"logical_representation\": [\"2020/01/19\", \"dinner\", \"sandwich\", \"Piper, Eva, Nevaeh, Claire, Avery\"], \"text_template_based\": \"I had dinner with Piper, Eva, Nevaeh, Claire, Avery. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/01/19?\", \"Piper, Eva, Nevaeh, Claire, Avery\"], [\"what did I eat for dinner on 2020/01/19\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/01/20\": {\"read\": {\"eid\": \"e6522\", \"logical_representation\": [\"2020/01/20\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/01/20?\", \"10 minutes\"], [\"what did I read on 2020/01/20?\", \"a book\"], [\"Did I read on 2020/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/21\": {\"chat0\": {\"eid\": \"e6523\", \"logical_representation\": [\"2020/01/21\", \"Kinsley, Piper, Nora, Nevaeh\", \"in the early afternoon\", \"5 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Nora, Nevaeh for 5 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Nora, Nevaeh in the early afternoon on 2020/01/21?\", \"5 minutes\"], [\"who did I talk to on 2020/01/21?\", \"Kinsley, Piper, Nora, Nevaeh\"], [\"Did I talk to Kinsley, Piper, Nora, Nevaeh on 2020/01/21?\", \"yes\"], [\"Did I talk to anyone on 2020/01/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/22\": {\"dinner\": {\"eid\": \"e6524\", \"logical_representation\": [\"2020/01/22\", \"dinner\", \"sandwich\", \"Willow, Avery\"], \"text_template_based\": \"I had sandwich for dinner with Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/01/22?\", \"Willow, Avery\"], [\"what did I eat for dinner on 2020/01/22\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6525\", \"logical_representation\": [\"2020/01/22\", \"Nevaeh, Piper, Lydia\", \"in the morning\", \"25 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Lydia for 25 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Lydia in the morning on 2020/01/22?\", \"25 minutes\"], [\"who did I talk to on 2020/01/22?\", \"Nevaeh, Piper, Lydia\"], [\"Did I talk to Nevaeh, Piper, Lydia on 2020/01/22?\", \"yes\"], [\"Did I talk to anyone on 2020/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/23\": {\"breakfast\": {\"eid\": \"e6526\", \"logical_representation\": [\"2020/01/23\", \"breakfast\", \"oatmeal\", \"Piper, Piper, Lydia, Rylee, Kinsley, Nevaeh, Eva, Claire, Hazel, Avery, Nora, Layla, Olivia\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/01/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2020/01/25\": {\"dinner\": {\"eid\": \"e6529\", \"logical_representation\": [\"2020/01/25\", \"dinner\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/01/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/01/26\": {\"lunch\": {\"eid\": \"e6530\", \"logical_representation\": [\"2020/01/26\", \"lunch\", \"sushi\", \"Willow, Avery\"], \"text_template_based\": \"I had lunch with Willow, Avery. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/01/26?\", \"Willow, Avery\"], [\"what did I eat for lunch on 2020/01/26\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6531\", \"logical_representation\": [\"2020/01/26\", \"dinner\", \"chinese food\", \"Olivia, Rylee, Piper, Eva, Kinsley, Avery, Claire, Hazel\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/01/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6532\", \"logical_representation\": [\"2020/01/26\", \"news\", \"14 minutes\"], \"text_template_based\": \"I watched news for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/26?\", \"14 minutes\"], [\"what did I watch on tv on 2020/01/26?\", \"news\"], [\"Did I watch tv on 2020/01/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/28\": {\"exercise\": {\"eid\": \"e6533\", \"logical_representation\": [\"2020/01/28\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/01/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/28?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2020/01/29\": {\"lunch\": {\"eid\": \"e6534\", \"logical_representation\": [\"2020/01/29\", \"lunch\", \"pasta\", \"Andrew, Emily\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/01/29\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6535\", \"logical_representation\": [\"2020/01/29\", \"news\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/01/29?\", \"44 minutes\"], [\"what did I read on 2020/01/29?\", \"news\"], [\"Did I read on 2020/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6536\", \"logical_representation\": [\"2020/01/29\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/29?\", \"29 minutes\"], [\"what did I watch on tv on 2020/01/29?\", \"a movie\"], [\"Did I watch tv on 2020/01/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/30\": {\"exercise\": {\"eid\": \"e6537\", \"logical_representation\": [\"2020/01/30\", \"biking\"], \"text_template_based\": \"I did biking on 2020/01/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/01/30?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6538\", \"logical_representation\": [\"2020/01/30\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/01/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6539\", \"logical_representation\": [\"2020/01/30\", \"social media\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/01/30?\", \"8 minutes\"], [\"what did I read on 2020/01/30?\", \"social media\"], [\"Did I read on 2020/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6540\", \"logical_representation\": [\"2020/01/30\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/01/30?\", \"28 minutes\"], [\"what did I watch on tv on 2020/01/30?\", \"a tv series\"], [\"Did I watch tv on 2020/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/01/31\": {\"lunch\": {\"eid\": \"e6541\", \"logical_representation\": [\"2020/01/31\", \"lunch\", \"sushi\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/01/31?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2020/01/31\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6542\", \"logical_representation\": [\"2020/01/31\", \"Piper\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2020/01/31?\", \"37 minutes\"], [\"who did I talk to on 2020/01/31?\", \"Piper\"], [\"Did I talk to Piper on 2020/01/31?\", \"yes\"], [\"Did I talk to anyone on 2020/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/01\": {\"read\": {\"eid\": \"e6543\", \"logical_representation\": [\"2020/02/01\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/02/01?\", \"41 minutes\"], [\"what did I read on 2020/02/01?\", \"a book\"], [\"Did I read on 2020/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/03\": {\"dinner\": {\"eid\": \"e6544\", \"logical_representation\": [\"2020/02/03\", \"dinner\", \"sandwich\", \"Willow\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/02/03\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6545\", \"logical_representation\": [\"2020/02/03\", \"news\", \"7 minutes\"], \"text_template_based\": \"I watched news for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/03?\", \"7 minutes\"], [\"what did I watch on tv on 2020/02/03?\", \"news\"], [\"Did I watch tv on 2020/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/05\": {\"dinner\": {\"eid\": \"e6547\", \"logical_representation\": [\"2020/02/05\", \"dinner\", \"indian food\", \"Jackson\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/02/05\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2020/02/09\": {\"lunch\": {\"eid\": \"e6549\", \"logical_representation\": [\"2020/02/09\", \"lunch\", \"steak\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/02/09\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2020/02/10\": {\"lunch\": {\"eid\": \"e6550\", \"logical_representation\": [\"2020/02/10\", \"lunch\", \"sushi\", \"Claire, Eva, Piper\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/02/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6551\", \"logical_representation\": [\"2020/02/10\", \"news\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/10?\", \"53 minutes\"], [\"what did I watch on tv on 2020/02/10?\", \"news\"], [\"Did I watch tv on 2020/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/12\": {\"breakfast\": {\"eid\": \"e6552\", \"logical_representation\": [\"2020/02/12\", \"breakfast\", \"toast and cheese\", \"Willow, Avery, Jackson, Benjamin\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/12\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2020/02/13\": {\"dinner\": {\"eid\": \"e6553\", \"logical_representation\": [\"2020/02/13\", \"dinner\", \"a burger\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had a burger for dinner with Emily, Carter, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/02/13?\", \"Emily, Carter, Andrew\"], [\"what did I eat for dinner on 2020/02/13\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2020/02/14\": {\"chat0\": {\"eid\": \"e6554\", \"logical_representation\": [\"2020/02/14\", \"Rylee, Nora\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Rylee, Nora for 47 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nora late in the evening on 2020/02/14?\", \"47 minutes\"], [\"who did I talk to on 2020/02/14?\", \"Rylee, Nora\"], [\"Did I talk to Rylee, Nora on 2020/02/14?\", \"yes\"], [\"Did I talk to anyone on 2020/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6555\", \"logical_representation\": [\"2020/02/14\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/02/14?\", \"32 minutes\"], [\"what did I read on 2020/02/14?\", \"news\"], [\"Did I read on 2020/02/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/15\": {\"breakfast\": {\"eid\": \"e6556\", \"logical_representation\": [\"2020/02/15\", \"breakfast\", \"pancakes\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/15\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6557\", \"logical_representation\": [\"2020/02/15\", \"Claire\", \"in the late afternoon\", \"9 minutes\"], \"text_template_based\": \"I talked to Claire for 9 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the late afternoon on 2020/02/15?\", \"9 minutes\"], [\"who did I talk to on 2020/02/15?\", \"Claire\"], [\"Did I talk to Claire on 2020/02/15?\", \"yes\"], [\"Did I talk to anyone on 2020/02/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/16\": {\"watch tv\": {\"eid\": \"e6558\", \"logical_representation\": [\"2020/02/16\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/16?\", \"43 minutes\"], [\"what did I watch on tv on 2020/02/16?\", \"a tv series\"], [\"Did I watch tv on 2020/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/17\": {\"breakfast\": {\"eid\": \"e6559\", \"logical_representation\": [\"2020/02/17\", \"breakfast\", \"toast and cheese\", \"Hazel, Piper, Piper, Lydia, Nevaeh, Nora, Claire, Rylee, Olivia, Layla\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6560\", \"logical_representation\": [\"2020/02/17\", \"dinner\", \"tacos\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I had tacos for dinner with Kayden, Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/02/17?\", \"Kayden, Andrew, Emily\"], [\"what did I eat for dinner on 2020/02/17\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6561\", \"logical_representation\": [\"2020/02/17\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/02/17?\", \"50 minutes\"], [\"what did I read on 2020/02/17?\", \"a book\"], [\"Did I read on 2020/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6562\", \"logical_representation\": [\"2020/02/17\", \"a movie\", \"50 minutes\"], \"text_template_based\": \"I watched a movie for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/17?\", \"50 minutes\"], [\"what did I watch on tv on 2020/02/17?\", \"a movie\"], [\"Did I watch tv on 2020/02/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/19\": {\"dinner\": {\"eid\": \"e6567\", \"logical_representation\": [\"2020/02/19\", \"dinner\", \"tacos\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/02/19\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6568\", \"logical_representation\": [\"2020/02/19\", \"a movie\", \"15 minutes\"], \"text_template_based\": \"I watched a movie for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/19?\", \"15 minutes\"], [\"what did I watch on tv on 2020/02/19?\", \"a movie\"], [\"Did I watch tv on 2020/02/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/21\": {\"chat0\": {\"eid\": \"e6569\", \"logical_representation\": [\"2020/02/21\", \"Avery, Claire\", \"in the morning\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Avery, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire in the morning on 2020/02/21?\", \"35 minutes\"], [\"who did I talk to on 2020/02/21?\", \"Avery, Claire\"], [\"Did I talk to Avery, Claire on 2020/02/21?\", \"yes\"], [\"Did I talk to anyone on 2020/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6570\", \"logical_representation\": [\"2020/02/21\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/02/21?\", \"36 minutes\"], [\"what did I read on 2020/02/21?\", \"a book\"], [\"Did I read on 2020/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/22\": {\"exercise\": {\"eid\": \"e6571\", \"logical_representation\": [\"2020/02/22\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/02/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/22?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6572\", \"logical_representation\": [\"2020/02/22\", \"lunch\", \"fish and chips\", \"Olivia, Layla, Eva, Lydia, Piper, Avery, Hazel, Nevaeh, Nora, Rylee, Piper\"], \"text_template_based\": \"I had lunch with Olivia, Layla, Eva, Lydia, Piper, Avery, Hazel, Nevaeh, Nora, Rylee, Piper. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/02/22?\", \"Olivia, Layla, Eva, Lydia, Piper, Avery, Hazel, Nevaeh, Nora, Rylee, Piper\"], [\"what did I eat for lunch on 2020/02/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6573\", \"logical_representation\": [\"2020/02/22\", \"a book\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/02/22?\", \"54 minutes\"], [\"what did I read on 2020/02/22?\", \"a book\"], [\"Did I read on 2020/02/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/23\": {\"exercise\": {\"eid\": \"e6574\", \"logical_representation\": [\"2020/02/23\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/02/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/23?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6575\", \"logical_representation\": [\"2020/02/23\", \"breakfast\", \"toast and cheese\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had toast and cheese for breakfast with Avery, Benjamin, Willow, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/02/23?\", \"Avery, Benjamin, Willow, Jackson\"], [\"what did I eat for breakfast on 2020/02/23\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6576\", \"logical_representation\": [\"2020/02/23\", \"Lydia, Rylee\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Lydia, Rylee for 17 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Rylee late in the evening on 2020/02/23?\", \"17 minutes\"], [\"who did I talk to on 2020/02/23?\", \"Lydia, Rylee\"], [\"Did I talk to Lydia, Rylee on 2020/02/23?\", \"yes\"], [\"Did I talk to anyone on 2020/02/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/24\": {\"breakfast\": {\"eid\": \"e6577\", \"logical_representation\": [\"2020/02/24\", \"breakfast\", \"oatmeal\", \"Benjamin, Jackson\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/02/24\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6578\", \"logical_representation\": [\"2020/02/24\", \"lunch\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/02/24?\", \"Carter\"], [\"what did I eat for lunch on 2020/02/24\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2020/02/27\": {\"breakfast\": {\"eid\": \"e6581\", \"logical_representation\": [\"2020/02/27\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had breakfast with Kayden, Carter, Emily, Andrew. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/02/27?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for breakfast on 2020/02/27\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6582\", \"logical_representation\": [\"2020/02/27\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/02/27?\", \"20 minutes\"], [\"what did I read on 2020/02/27?\", \"a book\"], [\"Did I read on 2020/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6583\", \"logical_representation\": [\"2020/02/27\", \"a documentary\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/02/27?\", \"49 minutes\"], [\"what did I watch on tv on 2020/02/27?\", \"a documentary\"], [\"Did I watch tv on 2020/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/02/28\": {\"exercise\": {\"eid\": \"e6584\", \"logical_representation\": [\"2020/02/28\", \"biking\"], \"text_template_based\": \"I did biking on 2020/02/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/02/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6585\", \"logical_representation\": [\"2020/02/28\", \"dinner\", \"a burger\", \"Nevaeh\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/02/28\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2020/02/29\": {\"breakfast\": {\"eid\": \"e6586\", \"logical_representation\": [\"2020/02/29\", \"breakfast\", \"toast and cheese\", \"Piper, Hazel, Rylee, Olivia, Nora, Claire, Layla, Avery, Eva, Kinsley, Nevaeh, Lydia\"], \"text_template_based\": \"I had breakfast with Piper, Hazel, Rylee, Olivia, Nora, Claire, Layla, Avery, Eva, Kinsley, Nevaeh, Lydia. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/02/29?\", \"Piper, Hazel, Rylee, Olivia, Nora, Claire, Layla, Avery, Eva, Kinsley, Nevaeh, Lydia\"], [\"what did I eat for breakfast on 2020/02/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2020/03/01\": {\"exercise\": {\"eid\": \"e6587\", \"logical_representation\": [\"2020/03/01\", \"running\"], \"text_template_based\": \"I did running on 2020/03/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6588\", \"logical_representation\": [\"2020/03/01\", \"Olivia\", \"during lunch hours\", \"8 minutes\"], \"text_template_based\": \"I talked to Olivia for 8 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2020/03/01?\", \"8 minutes\"], [\"who did I talk to on 2020/03/01?\", \"Olivia\"], [\"Did I talk to Olivia on 2020/03/01?\", \"yes\"], [\"Did I talk to anyone on 2020/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6589\", \"logical_representation\": [\"2020/03/01\", \"a movie\", \"15 minutes\"], \"text_template_based\": \"I watched a movie for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/01?\", \"15 minutes\"], [\"what did I watch on tv on 2020/03/01?\", \"a movie\"], [\"Did I watch tv on 2020/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/04\": {\"chat0\": {\"eid\": \"e6593\", \"logical_representation\": [\"2020/03/04\", \"Avery, Olivia, Eva, Piper\", \"in the late afternoon\", \"35 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia, Eva, Piper for 35 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Eva, Piper in the late afternoon on 2020/03/04?\", \"35 minutes\"], [\"who did I talk to on 2020/03/04?\", \"Avery, Olivia, Eva, Piper\"], [\"Did I talk to Avery, Olivia, Eva, Piper on 2020/03/04?\", \"yes\"], [\"Did I talk to anyone on 2020/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6594\", \"logical_representation\": [\"2020/03/04\", \"a book\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/03/04?\", \"34 minutes\"], [\"what did I read on 2020/03/04?\", \"a book\"], [\"Did I read on 2020/03/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/05\": {\"read\": {\"eid\": \"e6595\", \"logical_representation\": [\"2020/03/05\", \"a book\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/03/05?\", \"30 minutes\"], [\"what did I read on 2020/03/05?\", \"a book\"], [\"Did I read on 2020/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/08\": {\"breakfast\": {\"eid\": \"e6596\", \"logical_representation\": [\"2020/03/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/03/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6597\", \"logical_representation\": [\"2020/03/08\", \"Nora\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Nora for 27 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2020/03/08?\", \"27 minutes\"], [\"who did I talk to on 2020/03/08?\", \"Nora\"], [\"Did I talk to Nora on 2020/03/08?\", \"yes\"], [\"Did I talk to anyone on 2020/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6598\", \"logical_representation\": [\"2020/03/08\", \"a movie\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/08?\", \"47 minutes\"], [\"what did I watch on tv on 2020/03/08?\", \"a movie\"], [\"Did I watch tv on 2020/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/12\": {\"watch tv\": {\"eid\": \"e6601\", \"logical_representation\": [\"2020/03/12\", \"a movie\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/12?\", \"28 minutes\"], [\"what did I watch on tv on 2020/03/12?\", \"a movie\"], [\"Did I watch tv on 2020/03/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/13\": {\"exercise\": {\"eid\": \"e6602\", \"logical_representation\": [\"2020/03/13\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/03/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/03/13?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6603\", \"logical_representation\": [\"2020/03/13\", \"Avery\", \"in the early evening\", \"27 minutes\"], \"text_template_based\": \"I talked to Avery for 27 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2020/03/13?\", \"27 minutes\"], [\"who did I talk to on 2020/03/13?\", \"Avery\"], [\"Did I talk to Avery on 2020/03/13?\", \"yes\"], [\"Did I talk to anyone on 2020/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/15\": {\"lunch\": {\"eid\": \"e6604\", \"logical_representation\": [\"2020/03/15\", \"lunch\", \"fish and chips\", \"Nevaeh, Claire\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/03/15\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2020/03/17\": {\"chat0\": {\"eid\": \"e6605\", \"logical_representation\": [\"2020/03/17\", \"Lydia, Hazel, Avery, Nevaeh\", \"in the early afternoon\", \"12 minutes\"], \"text_template_based\": \"I talked to Lydia, Hazel, Avery, Nevaeh for 12 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Avery, Nevaeh in the early afternoon on 2020/03/17?\", \"12 minutes\"], [\"who did I talk to on 2020/03/17?\", \"Lydia, Hazel, Avery, Nevaeh\"], [\"Did I talk to Lydia, Hazel, Avery, Nevaeh on 2020/03/17?\", \"yes\"], [\"Did I talk to anyone on 2020/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6606\", \"logical_representation\": [\"2020/03/17\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/03/17?\", \"32 minutes\"], [\"what did I read on 2020/03/17?\", \"news\"], [\"Did I read on 2020/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6607\", \"logical_representation\": [\"2020/03/17\", \"news\", \"44 minutes\"], \"text_template_based\": \"I watched news for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/17?\", \"44 minutes\"], [\"what did I watch on tv on 2020/03/17?\", \"news\"], [\"Did I watch tv on 2020/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/19\": {\"breakfast\": {\"eid\": \"e6608\", \"logical_representation\": [\"2020/03/19\", \"breakfast\", \"peanut-butter-jam\", \"Willow\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/03/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6609\", \"logical_representation\": [\"2020/03/19\", \"Eva, Nora\", \"in the early afternoon\", \"42 minutes\"], \"text_template_based\": \"I talked to Eva, Nora for 42 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora in the early afternoon on 2020/03/19?\", \"42 minutes\"], [\"who did I talk to on 2020/03/19?\", \"Eva, Nora\"], [\"Did I talk to Eva, Nora on 2020/03/19?\", \"yes\"], [\"Did I talk to anyone on 2020/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6610\", \"logical_representation\": [\"2020/03/19\", \"social media\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/03/19?\", \"46 minutes\"], [\"what did I read on 2020/03/19?\", \"social media\"], [\"Did I read on 2020/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/24\": {\"dinner\": {\"eid\": \"e6614\", \"logical_representation\": [\"2020/03/24\", \"dinner\", \"pasta\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/03/24\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2020/03/25\": {\"breakfast\": {\"eid\": \"e6615\", \"logical_representation\": [\"2020/03/25\", \"breakfast\", \"cereals\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/03/25\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2020/03/26\": {\"lunch\": {\"eid\": \"e6616\", \"logical_representation\": [\"2020/03/26\", \"lunch\", \"tacos\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/03/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6617\", \"logical_representation\": [\"2020/03/26\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/03/26?\", \"19 minutes\"], [\"what did I read on 2020/03/26?\", \"news\"], [\"Did I read on 2020/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6618\", \"logical_representation\": [\"2020/03/26\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/26?\", \"6 minutes\"], [\"what did I watch on tv on 2020/03/26?\", \"a tv series\"], [\"Did I watch tv on 2020/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/29\": {\"breakfast\": {\"eid\": \"e6622\", \"logical_representation\": [\"2020/03/29\", \"breakfast\", \"oatmeal\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Kayden, Emily, Carter, Andrew. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/03/29?\", \"Kayden, Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2020/03/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6623\", \"logical_representation\": [\"2020/03/29\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/03/29?\", \"33 minutes\"], [\"what did I read on 2020/03/29?\", \"social media\"], [\"Did I read on 2020/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/03/30\": {\"breakfast\": {\"eid\": \"e6624\", \"logical_representation\": [\"2020/03/30\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Claire, Lydia, Eva, Nora, Kinsley, Nevaeh, Olivia, Avery, Piper, Piper, Rylee\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/03/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6625\", \"logical_representation\": [\"2020/03/30\", \"Nora, Lydia, Nevaeh\", \"in the late afternoon\", \"34 minutes\"], \"text_template_based\": \"I spent 34 talking to Nora, Lydia, Nevaeh on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Lydia, Nevaeh in the late afternoon on 2020/03/30?\", \"34 minutes\"], [\"who did I talk to on 2020/03/30?\", \"Nora, Lydia, Nevaeh\"], [\"Did I talk to Nora, Lydia, Nevaeh on 2020/03/30?\", \"yes\"], [\"Did I talk to anyone on 2020/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6626\", \"logical_representation\": [\"2020/03/30\", \"a documentary\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/03/30?\", \"30 minutes\"], [\"what did I watch on tv on 2020/03/30?\", \"a documentary\"], [\"Did I watch tv on 2020/03/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/02\": {\"dinner\": {\"eid\": \"e6628\", \"logical_representation\": [\"2020/04/02\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I had tacos for dinner with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/04/02?\", \"Kayden\"], [\"what did I eat for dinner on 2020/04/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6629\", \"logical_representation\": [\"2020/04/02\", \"social media\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/04/02?\", \"7 minutes\"], [\"what did I read on 2020/04/02?\", \"social media\"], [\"Did I read on 2020/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6630\", \"logical_representation\": [\"2020/04/02\", \"a tv series\", \"28 minutes\"], \"text_template_based\": \"I watched a tv series for 28 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/04/02?\", \"28 minutes\"], [\"what did I watch on tv on 2020/04/02?\", \"a tv series\"], [\"Did I watch tv on 2020/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/03\": {\"lunch\": {\"eid\": \"e6631\", \"logical_representation\": [\"2020/04/03\", \"lunch\", \"steak\", \"Kayden\"], \"text_template_based\": \"I had steak for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/04/03?\", \"Kayden\"], [\"what did I eat for lunch on 2020/04/03\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2020/04/04\": {\"breakfast\": {\"eid\": \"e6632\", \"logical_representation\": [\"2020/04/04\", \"breakfast\", \"cereals\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Kayden, Andrew. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/04/04?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2020/04/04\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6633\", \"logical_representation\": [\"2020/04/04\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had tacos for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/04/04?\", \"Emily\"], [\"what did I eat for lunch on 2020/04/04\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2020/04/05\": {\"exercise\": {\"eid\": \"e6634\", \"logical_representation\": [\"2020/04/05\", \"biking\"], \"text_template_based\": \"I did biking on 2020/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/05?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2020/04/06\": {\"exercise\": {\"eid\": \"e6635\", \"logical_representation\": [\"2020/04/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/04/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6636\", \"logical_representation\": [\"2020/04/06\", \"dinner\", \"sushi\", \"Andrew\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6637\", \"logical_representation\": [\"2020/04/06\", \"Eva\", \"in the morning\", \"48 minutes\"], \"text_template_based\": \"I talked to Eva for 48 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva in the morning on 2020/04/06?\", \"48 minutes\"], [\"who did I talk to on 2020/04/06?\", \"Eva\"], [\"Did I talk to Eva on 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\"chat0\": {\"eid\": \"e6640\", \"logical_representation\": [\"2020/04/07\", \"Hazel\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I talked to Hazel for 44 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the morning on 2020/04/07?\", \"44 minutes\"], [\"who did I talk to on 2020/04/07?\", \"Hazel\"], [\"Did I talk to Hazel on 2020/04/07?\", \"yes\"], [\"Did I talk to anyone on 2020/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6641\", \"logical_representation\": [\"2020/04/07\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/04/07?\", \"39 minutes\"], [\"what did I read on 2020/04/07?\", \"news\"], [\"Did I read on 2020/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/09\": {\"lunch\": {\"eid\": \"e6643\", \"logical_representation\": [\"2020/04/09\", \"lunch\", \"a burger\", \"Avery, Claire\"], \"text_template_based\": \"I had a burger for lunch with Avery, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/04/09?\", \"Avery, Claire\"], [\"what did I eat for lunch on 2020/04/09\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2020/04/13\": {\"exercise\": {\"eid\": \"e6647\", \"logical_representation\": [\"2020/04/13\", \"biking\"], \"text_template_based\": \"I did biking on 2020/04/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/13?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6648\", \"logical_representation\": [\"2020/04/13\", \"Layla, Rylee\", \"in the morning\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Layla, Rylee on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee in the morning on 2020/04/13?\", \"10 minutes\"], [\"who did I talk to on 2020/04/13?\", \"Layla, Rylee\"], [\"Did I talk to Layla, Rylee on 2020/04/13?\", \"yes\"], [\"Did I talk to anyone on 2020/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6649\", \"logical_representation\": [\"2020/04/13\", \"social media\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/04/13?\", \"22 minutes\"], [\"what did I read on 2020/04/13?\", \"social media\"], [\"Did I read on 2020/04/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6650\", \"logical_representation\": [\"2020/04/13\", \"a documentary\", \"50 minutes\"], \"text_template_based\": \"I watched a documentary for 50 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 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I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/04/19\": {\"lunch\": {\"eid\": \"e6654\", \"logical_representation\": [\"2020/04/19\", \"lunch\", \"chinese food\", \"Olivia, Hazel, Kinsley\"], \"text_template_based\": \"I had lunch with Olivia, Hazel, Kinsley. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/04/19?\", \"Olivia, Hazel, Kinsley\"], [\"what did I eat for lunch on 2020/04/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6655\", \"logical_representation\": [\"2020/04/19\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/04/19?\", \"28 minutes\"], [\"what did I read on 2020/04/19?\", \"news\"], [\"Did I read on 2020/04/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/21\": {\"exercise\": {\"eid\": \"e6657\", \"logical_representation\": [\"2020/04/21\", \"running\"], \"text_template_based\": \"I did running on 2020/04/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/21?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6658\", \"logical_representation\": [\"2020/04/21\", \"dinner\", \"indian food\", \"Piper, Nevaeh, Eva, Claire, Kinsley, Layla, Hazel\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/21\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2020/04/22\": {\"lunch\": {\"eid\": \"e6659\", \"logical_representation\": [\"2020/04/22\", \"lunch\", \"a burger\", \"Jackson\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/04/22\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2020/04/24\": {\"breakfast\": {\"eid\": \"e6662\", \"logical_representation\": [\"2020/04/24\", \"breakfast\", \"pancakes\", \"Emily, Andrew\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/04/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6663\", \"logical_representation\": [\"2020/04/24\", \"Lydia\", \"late in the evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Lydia for 35 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2020/04/24?\", \"35 minutes\"], [\"who did I talk to on 2020/04/24?\", \"Lydia\"], [\"Did I talk to Lydia on 2020/04/24?\", \"yes\"], [\"Did I talk to anyone on 2020/04/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/25\": {\"exercise\": {\"eid\": \"e6664\", \"logical_representation\": [\"2020/04/25\", \"running\"], \"text_template_based\": \"I did running on 2020/04/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6665\", \"logical_representation\": [\"2020/04/25\", \"dinner\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had indian food for dinner with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/04/25?\", \"Carter\"], [\"what did I eat for dinner on 2020/04/25\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2020/04/26\": {\"exercise\": {\"eid\": \"e6666\", \"logical_representation\": [\"2020/04/26\", \"running\"], \"text_template_based\": \"I did running on 2020/04/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/04/26?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6667\", \"logical_representation\": [\"2020/04/26\", \"lunch\", \"sandwich\", \"Lydia, Piper\"], \"text_template_based\": \"I had sandwich for lunch with Lydia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/04/26?\", \"Lydia, Piper\"], [\"what did I eat for lunch on 2020/04/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6668\", \"logical_representation\": [\"2020/04/26\", \"dinner\", \"a burger\", \"Olivia, Lydia, Hazel, Nora, Nevaeh, Avery, Layla, Eva, Kinsley\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6669\", \"logical_representation\": [\"2020/04/26\", \"Lydia, Hazel, Kinsley, Nevaeh\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Lydia, Hazel, Kinsley, Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Kinsley, Nevaeh in the early evening on 2020/04/26?\", \"29 minutes\"], [\"who did I talk to on 2020/04/26?\", \"Lydia, Hazel, Kinsley, Nevaeh\"], [\"Did I talk to Lydia, Hazel, Kinsley, Nevaeh on 2020/04/26?\", \"yes\"], [\"Did I talk to anyone on 2020/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6670\", \"logical_representation\": [\"2020/04/26\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I watched a movie for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/04/26?\", \"39 minutes\"], [\"what did I watch on tv on 2020/04/26?\", \"a movie\"], [\"Did I watch tv on 2020/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/27\": {\"chat0\": {\"eid\": \"e6671\", \"logical_representation\": [\"2020/04/27\", \"Rylee\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2020/04/27?\", \"29 minutes\"], [\"who did I talk to on 2020/04/27?\", \"Rylee\"], [\"Did I talk to Rylee on 2020/04/27?\", \"yes\"], [\"Did I talk to anyone on 2020/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/28\": {\"breakfast\": {\"eid\": \"e6672\", \"logical_representation\": [\"2020/04/28\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I had breakfast with Benjamin. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/04/28?\", \"Benjamin\"], [\"what did I eat for breakfast on 2020/04/28\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6673\", \"logical_representation\": [\"2020/04/28\", \"dinner\", \"a burger\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/04/28\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6674\", \"logical_representation\": [\"2020/04/28\", \"Layla, Olivia, Kinsley, Avery\", \"in the early evening\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Layla, Olivia, Kinsley, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia, Kinsley, Avery in the early evening on 2020/04/28?\", \"33 minutes\"], [\"who did I talk to on 2020/04/28?\", \"Layla, Olivia, Kinsley, Avery\"], [\"Did I talk to Layla, Olivia, Kinsley, Avery on 2020/04/28?\", \"yes\"], [\"Did I talk to anyone on 2020/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6675\", \"logical_representation\": [\"2020/04/28\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/04/28?\", \"39 minutes\"], [\"what did I read on 2020/04/28?\", \"a book\"], [\"Did I read on 2020/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/04/30\": {\"dinner\": {\"eid\": \"e6676\", \"logical_representation\": [\"2020/04/30\", \"dinner\", \"tacos\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had tacos for dinner with Benjamin, Willow, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/04/30?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for dinner on 2020/04/30\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2020/05/01\": {\"breakfast\": {\"eid\": \"e6677\", \"logical_representation\": [\"2020/05/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Layla, Nevaeh, Avery, Kinsley, Rylee, Piper, Eva, Nora\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Layla, Nevaeh, Avery, Kinsley, Rylee, Piper, Eva, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/05/01?\", \"Layla, Nevaeh, Avery, Kinsley, Rylee, Piper, Eva, Nora\"], [\"what did I eat for breakfast on 2020/05/01\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6678\", \"logical_representation\": [\"2020/05/01\", \"dinner\", \"indian food\", \"Avery, Benjamin\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/01\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2020/05/12\": {\"dinner\": {\"eid\": \"e6693\", \"logical_representation\": [\"2020/05/12\", \"dinner\", \"sushi\", \"Lydia, Piper, Kinsley, Olivia, Piper, Avery, Eva, Nevaeh\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/12\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2020/05/15\": {\"breakfast\": {\"eid\": \"e6695\", \"logical_representation\": [\"2020/05/15\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/05/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6696\", \"logical_representation\": [\"2020/05/15\", \"a documentary\", \"29 minutes\"], \"text_template_based\": \"I watched a documentary for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/15?\", \"29 minutes\"], [\"what did I watch on tv on 2020/05/15?\", \"a documentary\"], [\"Did I watch tv on 2020/05/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/17\": {\"chat0\": {\"eid\": \"e6699\", \"logical_representation\": [\"2020/05/17\", \"Nora, Rylee, Nevaeh\", \"in the early evening\", \"54 minutes\"], \"text_template_based\": \"I talked to Nora, Rylee, Nevaeh for 54 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee, Nevaeh in the early evening on 2020/05/17?\", \"54 minutes\"], [\"who did I talk to on 2020/05/17?\", \"Nora, Rylee, Nevaeh\"], [\"Did I talk to Nora, Rylee, Nevaeh on 2020/05/17?\", \"yes\"], [\"Did I talk to anyone on 2020/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6700\", \"logical_representation\": [\"2020/05/17\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/17?\", \"27 minutes\"], [\"what did I watch on tv on 2020/05/17?\", \"news\"], [\"Did I watch tv on 2020/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/18\": {\"exercise\": {\"eid\": \"e6701\", \"logical_representation\": [\"2020/05/18\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/05/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/18?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6702\", \"logical_representation\": [\"2020/05/18\", \"dinner\", \"sandwich\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6703\", \"logical_representation\": [\"2020/05/18\", \"Lydia, Claire, Hazel, Layla\", \"in the early afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Lydia, Claire, Hazel, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Hazel, Layla in the early afternoon on 2020/05/18?\", \"25 minutes\"], [\"who did I talk to on 2020/05/18?\", \"Lydia, Claire, Hazel, Layla\"], [\"Did I talk to Lydia, Claire, Hazel, Layla on 2020/05/18?\", \"yes\"], [\"Did I talk to anyone on 2020/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/19\": {\"read\": {\"eid\": \"e6704\", \"logical_representation\": [\"2020/05/19\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/05/19?\", \"13 minutes\"], [\"what did I read on 2020/05/19?\", \"a book\"], [\"Did I read on 2020/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/20\": {\"breakfast\": {\"eid\": \"e6705\", \"logical_representation\": [\"2020/05/20\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/05/20\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6706\", \"logical_representation\": [\"2020/05/20\", \"dinner\", \"pasta\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had pasta for dinner with Willow, Jackson, Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/05/20?\", \"Willow, Jackson, Benjamin, Avery\"], [\"what did I eat for dinner on 2020/05/20\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2020/05/21\": {\"lunch\": {\"eid\": \"e6707\", \"logical_representation\": [\"2020/05/21\", \"lunch\", \"a burger\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/05/21\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6708\", \"logical_representation\": [\"2020/05/21\", \"a book\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/05/21?\", \"9 minutes\"], [\"what did I read on 2020/05/21?\", \"a book\"], [\"Did I read on 2020/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/22\": {\"dinner\": {\"eid\": \"e6709\", \"logical_representation\": [\"2020/05/22\", \"dinner\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/05/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2020/05/23\": {\"chat0\": {\"eid\": \"e6710\", \"logical_representation\": [\"2020/05/23\", \"Rylee, Olivia, Piper, Avery\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Rylee, Olivia, Piper, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Olivia, Piper, Avery in the late afternoon on 2020/05/23?\", \"43 minutes\"], [\"who did I talk to on 2020/05/23?\", \"Rylee, Olivia, Piper, Avery\"], [\"Did I talk to Rylee, Olivia, Piper, Avery on 2020/05/23?\", \"yes\"], [\"Did I talk to anyone on 2020/05/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/24\": {\"dinner\": {\"eid\": \"e6711\", \"logical_representation\": [\"2020/05/24\", \"dinner\", \"tacos\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Emily, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/05/24?\", \"Kayden, Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2020/05/24\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2020/05/25\": {\"exercise\": {\"eid\": \"e6712\", \"logical_representation\": [\"2020/05/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/05/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/05/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6713\", \"logical_representation\": [\"2020/05/25\", \"Rylee, Avery, Layla\", \"in the early evening\", \"34 minutes\"], \"text_template_based\": \"I talked to Rylee, Avery, Layla for 34 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Avery, Layla in the early evening on 2020/05/25?\", \"34 minutes\"], [\"who did I talk to on 2020/05/25?\", \"Rylee, Avery, Layla\"], [\"Did I talk to Rylee, Avery, Layla on 2020/05/25?\", \"yes\"], [\"Did I talk to anyone on 2020/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/28\": {\"lunch\": {\"eid\": \"e6716\", \"logical_representation\": [\"2020/05/28\", \"lunch\", \"chinese food\", \"Carter, Kayden\"], \"text_template_based\": \"I had chinese food for lunch with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/05/28?\", \"Carter, Kayden\"], [\"what did I eat for lunch on 2020/05/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6717\", \"logical_representation\": [\"2020/05/28\", \"dinner\", \"sushi\", \"Olivia, Piper, Hazel, Kinsley, Layla, Claire, Nevaeh, Eva, Nora, Lydia, Avery\"], \"text_template_based\": \"I had sushi for dinner with Olivia, Piper, Hazel, Kinsley, Layla, Claire, Nevaeh, Eva, Nora, Lydia, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/05/28?\", \"Olivia, Piper, Hazel, Kinsley, Layla, Claire, Nevaeh, Eva, Nora, Lydia, Avery\"], [\"what did I eat for dinner on 2020/05/28\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2020/05/30\": {\"lunch\": {\"eid\": \"e6718\", \"logical_representation\": [\"2020/05/30\", \"lunch\", \"chinese food\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/05/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6719\", \"logical_representation\": [\"2020/05/30\", \"Avery, Olivia, Kinsley\", \"in the early afternoon\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Avery, Olivia, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Kinsley in the early afternoon on 2020/05/30?\", \"47 minutes\"], [\"who did I talk to on 2020/05/30?\", \"Avery, Olivia, Kinsley\"], [\"Did I talk to Avery, Olivia, Kinsley on 2020/05/30?\", \"yes\"], [\"Did I talk to anyone on 2020/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6720\", \"logical_representation\": [\"2020/05/30\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/05/30?\", \"53 minutes\"], [\"what did I read on 2020/05/30?\", \"social media\"], [\"Did I read on 2020/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/05/31\": {\"chat0\": {\"eid\": \"e6721\", \"logical_representation\": [\"2020/05/31\", \"Nora, Hazel, Layla\", \"in the late afternoon\", \"17 minutes\"], \"text_template_based\": \"I spent 17 talking to Nora, Hazel, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Hazel, Layla in the late afternoon on 2020/05/31?\", \"17 minutes\"], [\"who did I talk to on 2020/05/31?\", \"Nora, Hazel, Layla\"], [\"Did I talk to Nora, Hazel, Layla on 2020/05/31?\", \"yes\"], [\"Did I talk to anyone on 2020/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6722\", \"logical_representation\": [\"2020/05/31\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/05/31?\", \"46 minutes\"], [\"what did I read on 2020/05/31?\", \"news\"], [\"Did I read on 2020/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6723\", \"logical_representation\": [\"2020/05/31\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/05/31?\", \"18 minutes\"], [\"what did I watch on tv on 2020/05/31?\", \"news\"], [\"Did I watch tv on 2020/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/02\": {\"breakfast\": {\"eid\": \"e6726\", \"logical_representation\": [\"2020/06/02\", \"breakfast\", \"cereals\", \"Avery\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/06/02\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6727\", \"logical_representation\": [\"2020/06/02\", \"lunch\", \"indian food\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6728\", \"logical_representation\": [\"2020/06/02\", \"Claire\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early afternoon on 2020/06/02?\", \"26 minutes\"], [\"who did I talk to on 2020/06/02?\", \"Claire\"], [\"Did I talk to Claire on 2020/06/02?\", \"yes\"], [\"Did I talk to anyone on 2020/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/03\": {\"chat0\": {\"eid\": \"e6729\", \"logical_representation\": [\"2020/06/03\", \"Piper, Hazel\", \"in the morning\", \"8 minutes\"], \"text_template_based\": \"I spent 8 talking to Piper, Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Hazel in the morning on 2020/06/03?\", \"8 minutes\"], [\"who did I talk to on 2020/06/03?\", \"Piper, Hazel\"], [\"Did I talk to Piper, Hazel on 2020/06/03?\", \"yes\"], [\"Did I talk to anyone on 2020/06/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/04\": {\"breakfast\": {\"eid\": \"e6730\", \"logical_representation\": [\"2020/06/04\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Emily, Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/06/04?\", \"Emily, Carter, Kayden, Andrew\"], [\"what did I eat for breakfast on 2020/06/04\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6731\", \"logical_representation\": [\"2020/06/04\", \"lunch\", \"chinese food\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Carter, Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/06/04?\", \"Andrew, Carter, Emily\"], [\"what did I eat for lunch on 2020/06/04\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6732\", \"logical_representation\": [\"2020/06/04\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/06/04?\", \"24 minutes\"], [\"what did I read on 2020/06/04?\", \"a book\"], [\"Did I read on 2020/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/06\": {\"chat0\": {\"eid\": \"e6733\", \"logical_representation\": [\"2020/06/06\", \"Eva\", \"during lunch hours\", \"34 minutes\"], \"text_template_based\": \"I talked to Eva for 34 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva during lunch hours on 2020/06/06?\", \"34 minutes\"], [\"who did I talk to on 2020/06/06?\", \"Eva\"], [\"Did I talk to Eva on 2020/06/06?\", \"yes\"], [\"Did I talk to anyone on 2020/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/07\": {\"lunch\": {\"eid\": \"e6734\", \"logical_representation\": [\"2020/06/07\", \"lunch\", \"tacos\", \"Avery, Nevaeh, Eva, Olivia, Kinsley, Hazel, Piper, Lydia\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6735\", \"logical_representation\": [\"2020/06/07\", \"Piper, Olivia, Hazel, Eva\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia, Hazel, Eva for 38 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Hazel, Eva in the early afternoon on 2020/06/07?\", \"38 minutes\"], [\"who did I talk to on 2020/06/07?\", \"Piper, Olivia, Hazel, Eva\"], [\"Did I talk to Piper, Olivia, Hazel, Eva on 2020/06/07?\", \"yes\"], [\"Did I talk to anyone on 2020/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/08\": {\"lunch\": {\"eid\": \"e6736\", \"logical_representation\": [\"2020/06/08\", \"lunch\", \"pasta\", \"Carter\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6737\", \"logical_representation\": [\"2020/06/08\", \"Avery\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Avery for 17 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2020/06/08?\", \"17 minutes\"], [\"who did I talk to on 2020/06/08?\", \"Avery\"], [\"Did I talk to Avery on 2020/06/08?\", \"yes\"], [\"Did I talk to anyone on 2020/06/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/09\": {\"exercise\": {\"eid\": \"e6738\", \"logical_representation\": [\"2020/06/09\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/06/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/09?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6739\", \"logical_representation\": [\"2020/06/09\", \"lunch\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/06/09?\", \"Andrew\"], [\"what did I eat for lunch on 2020/06/09\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6740\", \"logical_representation\": [\"2020/06/09\", \"Rylee\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2020/06/09?\", \"33 minutes\"], [\"who did I talk to on 2020/06/09?\", \"Rylee\"], [\"Did I talk to Rylee on 2020/06/09?\", \"yes\"], [\"Did I talk to anyone on 2020/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6741\", \"logical_representation\": [\"2020/06/09\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/06/09?\", \"19 minutes\"], [\"what did I read on 2020/06/09?\", \"news\"], [\"Did I read on 2020/06/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/10\": {\"dinner\": {\"eid\": \"e6742\", \"logical_representation\": [\"2020/06/10\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/10\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2020/06/11\": {\"lunch\": {\"eid\": \"e6743\", \"logical_representation\": [\"2020/06/11\", \"lunch\", \"tacos\", \"Benjamin\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/11\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6744\", \"logical_representation\": [\"2020/06/11\", \"news\", \"20 minutes\"], \"text_template_based\": \"I watched news for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/11?\", \"20 minutes\"], [\"what did I watch on tv on 2020/06/11?\", \"news\"], [\"Did I watch tv on 2020/06/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/12\": {\"exercise\": {\"eid\": \"e6745\", \"logical_representation\": [\"2020/06/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/06/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2020/06/14\": {\"breakfast\": {\"eid\": \"e6747\", \"logical_representation\": [\"2020/06/14\", \"breakfast\", \"cereals\", \"Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/06/14\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2020/06/15\": {\"exercise\": {\"eid\": \"e6748\", \"logical_representation\": [\"2020/06/15\", \"biking\"], \"text_template_based\": \"I did biking on 2020/06/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6749\", \"logical_representation\": [\"2020/06/15\", \"lunch\", \"a burger\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6750\", \"logical_representation\": [\"2020/06/15\", \"dinner\", \"tacos\", \"Kinsley, Nora\"], \"text_template_based\": \"I had tacos for dinner with Kinsley, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/06/15?\", \"Kinsley, Nora\"], [\"what did I eat for dinner on 2020/06/15\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6751\", \"logical_representation\": [\"2020/06/15\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/06/15?\", \"14 minutes\"], [\"what did I read on 2020/06/15?\", \"a book\"], [\"Did I read on 2020/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/17\": {\"social media\": {\"eid\": \"e6754\", \"logical_representation\": [\"2020/06/17\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/06/17?\", \"9 minutes\"], [\"what did I read on 2020/06/17?\", \"social media\"], [\"Did I read on 2020/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/18\": {\"chat0\": {\"eid\": \"e6755\", \"logical_representation\": [\"2020/06/18\", \"Piper, Kinsley\", \"in the morning\", \"55 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley for 55 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley in the morning on 2020/06/18?\", \"55 minutes\"], [\"who did I talk to on 2020/06/18?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2020/06/18?\", \"yes\"], [\"Did I talk to anyone on 2020/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6756\", \"logical_representation\": [\"2020/06/18\", \"news\", \"16 minutes\"], \"text_template_based\": \"I watched news for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/18?\", \"16 minutes\"], [\"what did I watch on tv on 2020/06/18?\", \"news\"], [\"Did I watch tv on 2020/06/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/19\": {\"exercise\": {\"eid\": \"e6757\", \"logical_representation\": [\"2020/06/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/06/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2020/06/20\": {\"breakfast\": {\"eid\": \"e6758\", \"logical_representation\": [\"2020/06/20\", \"breakfast\", \"toast and cheese\", \"Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Carter, Andrew. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/06/20?\", \"Carter, Andrew\"], [\"what did I eat for breakfast on 2020/06/20\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2020/06/21\": {\"lunch\": {\"eid\": \"e6759\", \"logical_representation\": [\"2020/06/21\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/21\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6760\", \"logical_representation\": [\"2020/06/21\", \"Lydia\", \"during lunch hours\", \"18 minutes\"], \"text_template_based\": \"I talked to Lydia for 18 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia during lunch hours on 2020/06/21?\", \"18 minutes\"], [\"who did I talk to on 2020/06/21?\", \"Lydia\"], [\"Did I talk to Lydia on 2020/06/21?\", \"yes\"], [\"Did I talk to anyone on 2020/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/23\": {\"lunch\": {\"eid\": \"e6761\", \"logical_representation\": [\"2020/06/23\", \"lunch\", \"chinese food\", \"Olivia, Avery, Kinsley, Rylee, Nora\"], \"text_template_based\": \"I prepare chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2020/06/24\": {\"breakfast\": {\"eid\": \"e6762\", \"logical_representation\": [\"2020/06/24\", \"breakfast\", \"pancakes\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/06/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6763\", \"logical_representation\": [\"2020/06/24\", \"lunch\", \"steak\", \"Avery\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6764\", \"logical_representation\": [\"2020/06/24\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/24?\", \"51 minutes\"], [\"what did I watch on tv on 2020/06/24?\", \"news\"], [\"Did I watch tv on 2020/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/25\": {\"exercise\": {\"eid\": \"e6765\", \"logical_representation\": [\"2020/06/25\", \"running\"], \"text_template_based\": \"I did running on 2020/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/25?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2020/06/26\": {\"lunch\": {\"eid\": \"e6766\", \"logical_representation\": [\"2020/06/26\", \"lunch\", \"sandwich\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had lunch with Andrew, Emily, Carter, Kayden. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/06/26?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for lunch on 2020/06/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6767\", \"logical_representation\": [\"2020/06/26\", \"dinner\", \"steak\", \"Lydia, Olivia, Piper, Kinsley, Avery, Rylee, Claire\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/06/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6768\", \"logical_representation\": [\"2020/06/26\", \"Layla\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Layla for 41 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2020/06/26?\", \"41 minutes\"], [\"who did I talk to on 2020/06/26?\", \"Layla\"], [\"Did I talk to Layla on 2020/06/26?\", \"yes\"], [\"Did I talk to anyone on 2020/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/27\": {\"exercise\": {\"eid\": \"e6769\", \"logical_representation\": [\"2020/06/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/06/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/06/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6770\", \"logical_representation\": [\"2020/06/27\", \"dinner\", \"pasta\", \"Andrew, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Emily. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/06/27?\", \"Andrew, Emily\"], [\"what did I eat for dinner on 2020/06/27\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2020/06/29\": {\"read\": {\"eid\": \"e6771\", \"logical_representation\": [\"2020/06/29\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/06/29?\", \"51 minutes\"], [\"what did I read on 2020/06/29?\", \"a book\"], [\"Did I read on 2020/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6772\", \"logical_representation\": [\"2020/06/29\", \"a documentary\", \"33 minutes\"], \"text_template_based\": \"I watched a documentary for 33 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/29?\", \"33 minutes\"], [\"what did I watch on tv on 2020/06/29?\", \"a documentary\"], [\"Did I watch tv on 2020/06/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/06/30\": {\"lunch\": {\"eid\": \"e6773\", \"logical_representation\": [\"2020/06/30\", \"lunch\", \"indian food\", \"Layla, Eva, Lydia, Hazel, Claire, Nevaeh, Piper, Avery, Nora, Olivia\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/06/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6774\", \"logical_representation\": [\"2020/06/30\", \"dinner\", \"indian food\", \"Carter, Kayden\"], \"text_template_based\": \"I had indian food for dinner with Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/06/30?\", \"Carter, Kayden\"], [\"what did I eat for dinner on 2020/06/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6775\", \"logical_representation\": [\"2020/06/30\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/06/30?\", \"31 minutes\"], [\"what did I watch on tv on 2020/06/30?\", \"news\"], [\"Did I watch tv on 2020/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/01\": {\"breakfast\": {\"eid\": \"e6776\", \"logical_representation\": [\"2020/07/01\", \"breakfast\", \"toast and cheese\", \"Claire, Avery, Nora\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/07/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6777\", \"logical_representation\": [\"2020/07/01\", \"dinner\", \"pasta\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Carter, Emily, Andrew. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/07/01?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2020/07/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6778\", \"logical_representation\": [\"2020/07/01\", \"news\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/01?\", \"27 minutes\"], [\"what did I watch on tv on 2020/07/01?\", \"news\"], [\"Did I watch tv on 2020/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/02\": {\"dinner\": {\"eid\": \"e6779\", \"logical_representation\": [\"2020/07/02\", \"dinner\", \"pasta\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had dinner with Jackson, Benjamin, Avery. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/07/02?\", \"Jackson, Benjamin, Avery\"], [\"what did I eat for dinner on 2020/07/02\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6780\", \"logical_representation\": [\"2020/07/02\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/02?\", \"21 minutes\"], [\"what did I watch on tv on 2020/07/02?\", \"a tv series\"], [\"Did I watch tv on 2020/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/03\": {\"chat0\": {\"eid\": \"e6781\", \"logical_representation\": [\"2020/07/03\", \"Lydia, Nevaeh, Piper\", \"late in the evening\", \"21 minutes\"], \"text_template_based\": \"I talked to Lydia, Nevaeh, Piper for 21 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Piper late in the evening on 2020/07/03?\", \"21 minutes\"], [\"who did I talk to on 2020/07/03?\", \"Lydia, Nevaeh, Piper\"], [\"Did I talk to Lydia, Nevaeh, Piper on 2020/07/03?\", \"yes\"], [\"Did I talk to anyone on 2020/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/04\": {\"lunch\": {\"eid\": \"e6782\", \"logical_representation\": [\"2020/07/04\", \"lunch\", \"sushi\", \"Lydia, Piper, Rylee, Piper, Nevaeh\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/04\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2020/07/05\": {\"breakfast\": {\"eid\": \"e6783\", \"logical_representation\": [\"2020/07/05\", \"breakfast\", \"pancakes\", \"Lydia\"], \"text_template_based\": \"I had breakfast with Lydia. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/07/05?\", \"Lydia\"], [\"what did I eat for breakfast on 2020/07/05\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6784\", \"logical_representation\": [\"2020/07/05\", \"Lydia, Claire, Piper\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Lydia, Claire, Piper for 26 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Piper in the early afternoon on 2020/07/05?\", \"26 minutes\"], [\"who did I talk to on 2020/07/05?\", \"Lydia, Claire, Piper\"], [\"Did I talk to Lydia, Claire, Piper on 2020/07/05?\", \"yes\"], [\"Did I talk to anyone on 2020/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/06\": {\"exercise\": {\"eid\": \"e6785\", \"logical_representation\": [\"2020/07/06\", \"biking\"], \"text_template_based\": \"I did biking on 2020/07/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/06?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6786\", \"logical_representation\": [\"2020/07/06\", \"lunch\", \"steak\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/06\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6787\", \"logical_representation\": [\"2020/07/06\", \"Piper, Eva, Hazel\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Piper, Eva, Hazel for 40 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Hazel in the early afternoon on 2020/07/06?\", \"40 minutes\"], [\"who did I talk to on 2020/07/06?\", \"Piper, Eva, Hazel\"], [\"Did I talk to Piper, Eva, Hazel on 2020/07/06?\", \"yes\"], [\"Did I talk to anyone on 2020/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/08\": {\"exercise\": {\"eid\": \"e6790\", \"logical_representation\": [\"2020/07/08\", \"running\"], \"text_template_based\": \"I did running on 2020/07/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/08?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6791\", \"logical_representation\": [\"2020/07/08\", \"lunch\", \"chinese food\", \"Avery, Rylee, Olivia, Lydia\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2020/07/09\": {\"chat0\": {\"eid\": \"e6792\", \"logical_representation\": [\"2020/07/09\", \"Layla, Piper\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Layla, Piper on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Piper in the early afternoon on 2020/07/09?\", \"26 minutes\"], [\"who did I talk to on 2020/07/09?\", \"Layla, Piper\"], [\"Did I talk to Layla, Piper on 2020/07/09?\", \"yes\"], [\"Did I talk to anyone on 2020/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/10\": {\"exercise\": {\"eid\": \"e6793\", \"logical_representation\": [\"2020/07/10\", \"running\"], \"text_template_based\": \"I did running on 2020/07/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/10?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2020/07/12\": {\"watch tv\": {\"eid\": \"e6794\", \"logical_representation\": [\"2020/07/12\", \"news\", \"12 minutes\"], \"text_template_based\": \"I watched news for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/07/12?\", \"12 minutes\"], [\"what did I watch on tv on 2020/07/12?\", \"news\"], [\"Did I watch tv on 2020/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/13\": {\"exercise\": {\"eid\": \"e6795\", \"logical_representation\": [\"2020/07/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/07/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6796\", \"logical_representation\": [\"2020/07/13\", \"Kinsley\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley during lunch hours on 2020/07/13?\", \"54 minutes\"], [\"who did I talk to on 2020/07/13?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2020/07/13?\", \"yes\"], [\"Did I talk to anyone on 2020/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/15\": {\"lunch\": {\"eid\": \"e6797\", \"logical_representation\": [\"2020/07/15\", \"lunch\", \"indian food\", \"Piper, Lydia\"], \"text_template_based\": \"I had indian food for lunch with Piper, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/07/15?\", \"Piper, Lydia\"], [\"what did I eat for lunch on 2020/07/15\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2020/07/16\": {\"lunch\": {\"eid\": \"e6798\", \"logical_representation\": [\"2020/07/16\", \"lunch\", \"sandwich\", \"Avery, Rylee, Layla, Piper, Kinsley, Nevaeh, Hazel, Lydia, Eva, Claire, Olivia, Piper, Nora\"], \"text_template_based\": \"I had lunch with Avery, Rylee, Layla, Piper, Kinsley, Nevaeh, Hazel, Lydia, Eva, Claire, Olivia, Piper, Nora. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/07/16?\", \"Avery, Rylee, Layla, Piper, Kinsley, Nevaeh, Hazel, Lydia, Eva, Claire, Olivia, Piper, Nora\"], [\"what did I eat for lunch on 2020/07/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/07/19\": {\"dinner\": {\"eid\": \"e6802\", \"logical_representation\": [\"2020/07/19\", \"dinner\", \"sushi\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had sushi for dinner with Kayden, Carter, Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/07/19?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for dinner on 2020/07/19\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6803\", \"logical_representation\": [\"2020/07/19\", \"Piper, Nora, Lydia\", \"in the early evening\", \"46 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Lydia for 46 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Lydia in the early evening on 2020/07/19?\", \"46 minutes\"], [\"who did I talk to on 2020/07/19?\", \"Piper, Nora, Lydia\"], [\"Did I talk to Piper, Nora, Lydia on 2020/07/19?\", \"yes\"], [\"Did I talk to anyone on 2020/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/23\": {\"lunch\": {\"eid\": \"e6804\", \"logical_representation\": [\"2020/07/23\", \"lunch\", \"chinese food\", \"Piper, Olivia, Claire, Kinsley, Nevaeh\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/07/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2020/07/24\": {\"breakfast\": {\"eid\": \"e6805\", \"logical_representation\": [\"2020/07/24\", \"breakfast\", \"cereals\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/07/24\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2020/07/26\": {\"chat0\": {\"eid\": \"e6806\", \"logical_representation\": [\"2020/07/26\", \"Hazel\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I spent 13 talking to Hazel on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel during lunch hours on 2020/07/26?\", \"13 minutes\"], [\"who did I talk to on 2020/07/26?\", \"Hazel\"], [\"Did I talk to Hazel on 2020/07/26?\", \"yes\"], [\"Did I talk to anyone on 2020/07/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/29\": {\"exercise\": {\"eid\": \"e6811\", \"logical_representation\": [\"2020/07/29\", \"running\"], \"text_template_based\": \"I did running on 2020/07/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/07/29?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6812\", \"logical_representation\": [\"2020/07/29\", \"Kinsley\", \"in the late afternoon\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the late afternoon on 2020/07/29?\", \"28 minutes\"], [\"who did I talk to on 2020/07/29?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2020/07/29?\", \"yes\"], [\"Did I talk to anyone on 2020/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6813\", \"logical_representation\": [\"2020/07/29\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/07/29?\", \"28 minutes\"], [\"what did I read on 2020/07/29?\", \"news\"], [\"Did I read on 2020/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/30\": {\"social media\": {\"eid\": \"e6814\", \"logical_representation\": [\"2020/07/30\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/07/30?\", \"26 minutes\"], [\"what did I read on 2020/07/30?\", \"social media\"], [\"Did I read on 2020/07/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/07/31\": {\"dinner\": {\"eid\": \"e6815\", \"logical_representation\": [\"2020/07/31\", \"dinner\", \"indian food\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/07/31\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2020/08/01\": {\"dinner\": {\"eid\": \"e6816\", \"logical_representation\": [\"2020/08/01\", \"dinner\", \"a burger\", \"Olivia, Hazel, Avery, Piper, Claire, Nevaeh, Rylee, Lydia, Layla, Eva, Nora, Piper, Kinsley\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6817\", \"logical_representation\": [\"2020/08/01\", \"Piper, Kinsley\", \"during lunch hours\", \"48 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley for 48 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley during lunch hours on 2020/08/01?\", \"48 minutes\"], [\"who did I talk to on 2020/08/01?\", \"Piper, Kinsley\"], [\"Did I talk to Piper, Kinsley on 2020/08/01?\", \"yes\"], [\"Did I talk to anyone on 2020/08/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/03\": {\"social media\": {\"eid\": \"e6818\", \"logical_representation\": [\"2020/08/03\", \"social media\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/08/03?\", \"17 minutes\"], [\"what did I read on 2020/08/03?\", \"social media\"], [\"Did I read on 2020/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/04\": {\"exercise\": {\"eid\": \"e6819\", \"logical_representation\": [\"2020/08/04\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/08/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/04?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2020/08/05\": {\"exercise\": {\"eid\": \"e6820\", \"logical_representation\": [\"2020/08/05\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/08/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/05?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2020/08/06\": {\"exercise\": {\"eid\": \"e6821\", \"logical_representation\": [\"2020/08/06\", \"running\"], \"text_template_based\": \"I did running on 2020/08/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/06?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6822\", \"logical_representation\": [\"2020/08/06\", \"breakfast\", \"cereals\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had cereals for breakfast with Emily, Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/08/06?\", \"Emily, Andrew, Kayden, Carter\"], [\"what did I eat for breakfast on 2020/08/06\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6823\", \"logical_representation\": [\"2020/08/06\", \"lunch\", \"indian food\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had indian food for lunch with Avery, Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/08/06?\", \"Avery, Jackson, Willow\"], [\"what did I eat for lunch on 2020/08/06\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2020/08/07\": {\"exercise\": {\"eid\": \"e6824\", \"logical_representation\": [\"2020/08/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/08/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6825\", \"logical_representation\": [\"2020/08/07\", \"lunch\", \"tacos\", \"Eva, Nevaeh, Piper, Piper, Olivia, Nora\"], \"text_template_based\": \"I had lunch with Eva, Nevaeh, Piper, Piper, Olivia, Nora. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/08/07?\", \"Eva, Nevaeh, Piper, Piper, Olivia, Nora\"], [\"what did I eat for lunch on 2020/08/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6826\", \"logical_representation\": [\"2020/08/07\", \"dinner\", \"tacos\", \"Andrew\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/07\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6827\", \"logical_representation\": [\"2020/08/07\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/08/07?\", \"29 minutes\"], [\"what did I read on 2020/08/07?\", \"news\"], [\"Did I read on 2020/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/08\": {\"chat0\": {\"eid\": \"e6828\", \"logical_representation\": [\"2020/08/08\", \"Lydia, Claire, Eva\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Lydia, Claire, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire, Eva in the morning on 2020/08/08?\", \"44 minutes\"], [\"who did I talk to on 2020/08/08?\", \"Lydia, Claire, Eva\"], [\"Did I talk to Lydia, Claire, Eva on 2020/08/08?\", \"yes\"], [\"Did I talk to anyone on 2020/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6829\", \"logical_representation\": [\"2020/08/08\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/08/08?\", \"11 minutes\"], [\"what did I watch on tv on 2020/08/08?\", \"a movie\"], [\"Did I watch tv on 2020/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/11\": {\"dinner\": {\"eid\": \"e6831\", \"logical_representation\": [\"2020/08/11\", \"dinner\", \"a burger\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/11\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2020/08/13\": {\"exercise\": {\"eid\": \"e6832\", \"logical_representation\": [\"2020/08/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/08/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2020/08/15\": {\"breakfast\": {\"eid\": \"e6833\", \"logical_representation\": [\"2020/08/15\", \"breakfast\", \"toast and cheese\", \"Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/08/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6834\", \"logical_representation\": [\"2020/08/15\", \"Nevaeh\", \"in the early evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2020/08/15?\", \"55 minutes\"], [\"who did I talk to on 2020/08/15?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2020/08/15?\", \"yes\"], [\"Did I talk to anyone on 2020/08/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/22\": {\"lunch\": {\"eid\": \"e6842\", \"logical_representation\": [\"2020/08/22\", \"lunch\", \"chinese food\", \"Nevaeh, Lydia, Hazel, Kinsley, Claire, Avery, Eva, Olivia, Piper, Layla\"], \"text_template_based\": \"I had chinese food for lunch with Nevaeh, Lydia, Hazel, Kinsley, Claire, Avery, Eva, Olivia, Piper, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/08/22?\", \"Nevaeh, Lydia, Hazel, Kinsley, Claire, Avery, Eva, Olivia, Piper, Layla\"], [\"what did I eat for lunch on 2020/08/22\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6843\", \"logical_representation\": [\"2020/08/22\", \"dinner\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had sushi for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/08/22?\", \"Emily\"], [\"what did I eat for dinner on 2020/08/22\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2020/08/25\": {\"breakfast\": {\"eid\": \"e6845\", \"logical_representation\": [\"2020/08/25\", \"breakfast\", \"pancakes\", \"Willow\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/08/25\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6846\", \"logical_representation\": [\"2020/08/25\", \"lunch\", \"sandwich\", \"Andrew\"], \"text_template_based\": \"I had lunch with Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/08/25?\", \"Andrew\"], [\"what did I eat for lunch on 2020/08/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/08/26\": {\"dinner\": {\"eid\": \"e6847\", \"logical_representation\": [\"2020/08/26\", \"dinner\", \"a burger\", \"Emily, Kayden\"], \"text_template_based\": \"I had a burger for dinner with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/08/26?\", \"Emily, Kayden\"], [\"what did I eat for dinner on 2020/08/26\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2020/08/27\": {\"exercise\": {\"eid\": \"e6848\", \"logical_representation\": [\"2020/08/27\", \"running\"], \"text_template_based\": \"I did running on 2020/08/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6849\", \"logical_representation\": [\"2020/08/27\", \"social media\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/08/27?\", \"20 minutes\"], [\"what did I read on 2020/08/27?\", \"social media\"], [\"Did I read on 2020/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/28\": {\"dinner\": {\"eid\": \"e6850\", \"logical_representation\": [\"2020/08/28\", \"dinner\", \"chinese food\", \"Olivia, Piper, Layla, Nevaeh, Kinsley\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/08/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2020/08/29\": {\"chat0\": {\"eid\": \"e6851\", \"logical_representation\": [\"2020/08/29\", \"Hazel, Piper, Piper, Eva\", \"during lunch hours\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Hazel, Piper, Piper, Eva on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Piper, Eva during lunch hours on 2020/08/29?\", \"19 minutes\"], [\"who did I talk to on 2020/08/29?\", \"Hazel, Piper, Piper, Eva\"], [\"Did I talk to Hazel, Piper, Piper, Eva on 2020/08/29?\", \"yes\"], [\"Did I talk to anyone on 2020/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/30\": {\"dinner\": {\"eid\": \"e6852\", \"logical_representation\": [\"2020/08/30\", \"dinner\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had dinner with Andrew. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/08/30?\", \"Andrew\"], [\"what did I eat for dinner on 2020/08/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6853\", \"logical_representation\": [\"2020/08/30\", \"Avery\", \"during lunch hours\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery during lunch hours on 2020/08/30?\", \"24 minutes\"], [\"who did I talk to on 2020/08/30?\", \"Avery\"], [\"Did I talk to Avery on 2020/08/30?\", \"yes\"], [\"Did I talk to anyone on 2020/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/08/31\": {\"exercise\": {\"eid\": \"e6854\", \"logical_representation\": [\"2020/08/31\", \"running\"], \"text_template_based\": \"I did running on 2020/08/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/08/31?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6855\", \"logical_representation\": [\"2020/08/31\", \"lunch\", \"tacos\", \"Avery, Benjamin\"], \"text_template_based\": \"I had tacos for lunch with Avery, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/08/31?\", \"Avery, Benjamin\"], [\"what did I eat for lunch on 2020/08/31\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2020/09/02\": {\"lunch\": {\"eid\": \"e6858\", \"logical_representation\": [\"2020/09/02\", \"lunch\", \"chinese food\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/02\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2020/09/03\": {\"exercise\": {\"eid\": \"e6859\", \"logical_representation\": [\"2020/09/03\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/09/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/03?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6860\", \"logical_representation\": [\"2020/09/03\", \"social media\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/09/03?\", \"42 minutes\"], [\"what did I read on 2020/09/03?\", \"social media\"], [\"Did I read on 2020/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/05\": {\"breakfast\": {\"eid\": \"e6862\", \"logical_representation\": [\"2020/09/05\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Piper, Piper, Kinsley, Olivia, Claire, Rylee\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/09/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6863\", \"logical_representation\": [\"2020/09/05\", \"dinner\", \"pasta\", \"Kayden\"], \"text_template_based\": \"I had dinner with Kayden. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/09/05?\", \"Kayden\"], [\"what did I eat for dinner on 2020/09/05\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2020/09/07\": {\"dinner\": {\"eid\": \"e6864\", \"logical_representation\": [\"2020/09/07\", \"dinner\", \"sandwich\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6865\", \"logical_representation\": [\"2020/09/07\", \"Nora, Eva\", \"in the late afternoon\", \"31 minutes\"], \"text_template_based\": \"I spent 31 talking to Nora, Eva on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva in the late afternoon on 2020/09/07?\", \"31 minutes\"], [\"who did I talk to on 2020/09/07?\", \"Nora, Eva\"], [\"Did I talk to Nora, Eva on 2020/09/07?\", \"yes\"], [\"Did I talk to anyone on 2020/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/08\": {\"exercise\": {\"eid\": \"e6866\", \"logical_representation\": [\"2020/09/08\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/09/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/08?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6867\", \"logical_representation\": [\"2020/09/08\", \"breakfast\", \"pancakes\", \"Andrew\"], \"text_template_based\": \"I had pancakes for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/09/08?\", \"Andrew\"], [\"what did I eat for breakfast on 2020/09/08\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6868\", \"logical_representation\": [\"2020/09/08\", \"lunch\", \"pasta\", \"Kayden, Andrew\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6869\", \"logical_representation\": [\"2020/09/08\", \"dinner\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/08\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2020/09/10\": {\"dinner\": {\"eid\": \"e6871\", \"logical_representation\": [\"2020/09/10\", \"dinner\", \"sushi\", \"Emily, Carter\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/10\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2020/09/11\": {\"exercise\": {\"eid\": \"e6872\", \"logical_representation\": [\"2020/09/11\", \"running\"], \"text_template_based\": \"I did running on 2020/09/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/11?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2020/09/13\": {\"breakfast\": {\"eid\": \"e6876\", \"logical_representation\": [\"2020/09/13\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/09/13\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6877\", \"logical_representation\": [\"2020/09/13\", \"dinner\", \"sandwich\", \"Hazel, Piper, Avery, Eva, Piper, Olivia, Rylee, Claire, Kinsley, Nevaeh\"], \"text_template_based\": \"I had sandwich for dinner with Hazel, Piper, Avery, Eva, Piper, Olivia, Rylee, Claire, Kinsley, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/09/13?\", \"Hazel, Piper, Avery, Eva, Piper, Olivia, Rylee, Claire, Kinsley, Nevaeh\"], [\"what did I eat for dinner on 2020/09/13\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/09/14\": {\"dinner\": {\"eid\": \"e6878\", \"logical_representation\": [\"2020/09/14\", \"dinner\", \"chinese food\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2020/09/16\": {\"exercise\": {\"eid\": \"e6881\", \"logical_representation\": [\"2020/09/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6882\", \"logical_representation\": [\"2020/09/16\", \"lunch\", \"steak\", \"Rylee, Layla, Eva, Claire, Avery, Olivia, Piper, Piper, Kinsley, Nevaeh, Nora, Hazel, Lydia\"], \"text_template_based\": \"I had lunch with Rylee, Layla, Eva, Claire, Avery, Olivia, Piper, Piper, Kinsley, Nevaeh, Nora, Hazel, Lydia. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/09/16?\", \"Rylee, Layla, Eva, Claire, Avery, Olivia, Piper, Piper, Kinsley, Nevaeh, Nora, Hazel, Lydia\"], [\"what did I eat for lunch on 2020/09/16\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6883\", \"logical_representation\": [\"2020/09/16\", \"dinner\", \"pasta\", \"Nevaeh, Eva, Avery, Piper, Claire, Nora\"], \"text_template_based\": \"I had dinner with Nevaeh, Eva, Avery, Piper, Claire, Nora. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/09/16?\", \"Nevaeh, Eva, Avery, Piper, Claire, Nora\"], [\"what did I eat for dinner on 2020/09/16\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2020/09/17\": {\"lunch\": {\"eid\": \"e6884\", \"logical_representation\": [\"2020/09/17\", \"lunch\", \"sushi\", \"Piper, Lydia, Layla, Rylee, Nora, Piper, Nevaeh, Kinsley, Avery, Eva\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/17\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2020/09/18\": {\"social media\": {\"eid\": \"e6885\", \"logical_representation\": [\"2020/09/18\", \"social media\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/09/18?\", \"11 minutes\"], [\"what did I read on 2020/09/18?\", \"social media\"], [\"Did I read on 2020/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6886\", \"logical_representation\": [\"2020/09/18\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/18?\", \"15 minutes\"], [\"what did I watch on tv on 2020/09/18?\", \"news\"], [\"Did I watch tv on 2020/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/19\": {\"exercise\": {\"eid\": \"e6887\", \"logical_representation\": [\"2020/09/19\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/09/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/09/19?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6888\", \"logical_representation\": [\"2020/09/19\", \"dinner\", \"pasta\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/09/19\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6889\", \"logical_representation\": [\"2020/09/19\", \"social media\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/09/19?\", \"13 minutes\"], [\"what did I read on 2020/09/19?\", \"social media\"], [\"Did I read on 2020/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/20\": {\"watch tv\": {\"eid\": \"e6890\", \"logical_representation\": [\"2020/09/20\", \"a movie\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/20?\", \"48 minutes\"], [\"what did I watch on tv on 2020/09/20?\", \"a movie\"], [\"Did I watch tv on 2020/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/24\": {\"lunch\": {\"eid\": \"e6894\", \"logical_representation\": [\"2020/09/24\", \"lunch\", \"tacos\", \"Layla, Claire, Nevaeh, Rylee, Kinsley, Lydia, Nora, Piper, Olivia, Eva\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/24\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6895\", \"logical_representation\": [\"2020/09/24\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/24?\", \"22 minutes\"], [\"what did I watch on tv on 2020/09/24?\", \"a tv series\"], [\"Did I watch tv on 2020/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/25\": {\"lunch\": {\"eid\": \"e6896\", \"logical_representation\": [\"2020/09/25\", \"lunch\", \"indian food\", \"Eva, Hazel, Nora, Piper, Kinsley, Rylee\"], \"text_template_based\": \"I prepare indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/09/25\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6897\", \"logical_representation\": [\"2020/09/25\", \"a tv series\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/09/25?\", \"24 minutes\"], [\"what did I watch on tv on 2020/09/25?\", \"a tv series\"], [\"Did I watch tv on 2020/09/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/27\": {\"breakfast\": {\"eid\": \"e6898\", \"logical_representation\": [\"2020/09/27\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/09/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6899\", \"logical_representation\": [\"2020/09/27\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/09/27?\", \"14 minutes\"], [\"what did I read on 2020/09/27?\", \"a book\"], [\"Did I read on 2020/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/09/30\": {\"dinner\": {\"eid\": \"e6903\", \"logical_representation\": [\"2020/09/30\", \"dinner\", \"pasta\", \"Hazel, Lydia, Piper, Nevaeh, Layla, Eva, Avery, Claire, Nora, Kinsley, Olivia, Rylee, Piper\"], \"text_template_based\": \"I had dinner with Hazel, Lydia, Piper, Nevaeh, Layla, Eva, Avery, Claire, Nora, Kinsley, Olivia, Rylee, Piper. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/09/30?\", \"Hazel, Lydia, Piper, Nevaeh, Layla, Eva, Avery, Claire, Nora, Kinsley, Olivia, Rylee, Piper\"], [\"what did I eat for dinner on 2020/09/30\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2020/10/01\": {\"breakfast\": {\"eid\": \"e6904\", \"logical_representation\": [\"2020/10/01\", \"breakfast\", \"toast and cheese\", \"Emily, Carter\"], \"text_template_based\": \"I had toast and cheese for breakfast with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/10/01?\", \"Emily, Carter\"], [\"what did I eat for breakfast on 2020/10/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2020/10/02\": {\"watch tv\": {\"eid\": \"e6905\", \"logical_representation\": [\"2020/10/02\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/02?\", \"21 minutes\"], [\"what did I watch on tv on 2020/10/02?\", \"a tv series\"], [\"Did I watch tv on 2020/10/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/08\": {\"exercise\": {\"eid\": \"e6912\", \"logical_representation\": [\"2020/10/08\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/10/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/08?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6913\", \"logical_representation\": [\"2020/10/08\", \"dinner\", \"sandwich\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/10/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6914\", \"logical_representation\": [\"2020/10/08\", \"Layla, Claire, Kinsley\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Layla, Claire, Kinsley for 34 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire, Kinsley in the early afternoon on 2020/10/08?\", \"34 minutes\"], [\"who did I talk to on 2020/10/08?\", \"Layla, Claire, Kinsley\"], [\"Did I talk to Layla, Claire, Kinsley on 2020/10/08?\", \"yes\"], [\"Did I talk to anyone on 2020/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/10\": {\"exercise\": {\"eid\": \"e6916\", \"logical_representation\": [\"2020/10/10\", \"running\"], \"text_template_based\": \"I did running on 2020/10/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/10?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2020/10/12\": {\"chat0\": {\"eid\": \"e6918\", \"logical_representation\": [\"2020/10/12\", \"Piper, Piper\", \"during lunch hours\", \"13 minutes\"], \"text_template_based\": \"I talked to Piper, Piper for 13 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper during lunch hours on 2020/10/12?\", \"13 minutes\"], [\"who did I talk to on 2020/10/12?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2020/10/12?\", \"yes\"], [\"Did I talk to anyone on 2020/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6919\", \"logical_representation\": [\"2020/10/12\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/10/12?\", \"23 minutes\"], [\"what did I read on 2020/10/12?\", \"a book\"], [\"Did I read on 2020/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6920\", \"logical_representation\": [\"2020/10/12\", \"a tv series\", \"39 minutes\"], \"text_template_based\": \"I watched a tv series for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/12?\", \"39 minutes\"], [\"what did I watch on tv on 2020/10/12?\", \"a tv series\"], [\"Did I watch tv on 2020/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/13\": {\"dinner\": {\"eid\": \"e6921\", \"logical_representation\": [\"2020/10/13\", \"dinner\", \"a burger\", \"Olivia, Claire, Rylee, Nevaeh\"], \"text_template_based\": \"I had dinner with Olivia, Claire, Rylee, Nevaeh. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/10/13?\", \"Olivia, Claire, Rylee, Nevaeh\"], [\"what did I eat for dinner on 2020/10/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6922\", \"logical_representation\": [\"2020/10/13\", \"a documentary\", \"44 minutes\"], \"text_template_based\": \"I spent 44 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/13?\", \"44 minutes\"], [\"what did I watch on tv on 2020/10/13?\", \"a documentary\"], [\"Did I watch tv on 2020/10/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/14\": {\"exercise\": {\"eid\": \"e6923\", \"logical_representation\": [\"2020/10/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/10/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2020/10/15\": {\"lunch\": {\"eid\": \"e6924\", \"logical_representation\": [\"2020/10/15\", \"lunch\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had chinese food for lunch with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/10/15?\", \"Emily\"], [\"what did I eat for lunch on 2020/10/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2020/10/17\": {\"watch tv\": {\"eid\": \"e6925\", \"logical_representation\": [\"2020/10/17\", \"a movie\", \"51 minutes\"], \"text_template_based\": \"I watched a movie for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/17?\", \"51 minutes\"], [\"what did I watch on tv on 2020/10/17?\", \"a movie\"], [\"Did I watch tv on 2020/10/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/18\": {\"exercise\": {\"eid\": \"e6926\", \"logical_representation\": [\"2020/10/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/10/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6927\", \"logical_representation\": [\"2020/10/18\", \"breakfast\", \"toast and cheese\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/10/18\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2020/10/19\": {\"breakfast\": {\"eid\": \"e6928\", \"logical_representation\": [\"2020/10/19\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/10/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2020/10/20\": {\"lunch\": {\"eid\": \"e6929\", \"logical_representation\": [\"2020/10/20\", \"lunch\", \"pasta\", \"Avery\"], \"text_template_based\": \"I had lunch with Avery. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/10/20?\", \"Avery\"], [\"what did I eat for lunch on 2020/10/20\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6930\", \"logical_representation\": [\"2020/10/20\", \"Hazel, Lydia\", \"during lunch hours\", \"52 minutes\"], \"text_template_based\": \"I spent 52 talking to Hazel, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Lydia during lunch hours on 2020/10/20?\", \"52 minutes\"], [\"who did I talk to on 2020/10/20?\", \"Hazel, Lydia\"], [\"Did I talk to Hazel, Lydia on 2020/10/20?\", \"yes\"], [\"Did I talk to anyone on 2020/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6931\", \"logical_representation\": [\"2020/10/20\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/10/20?\", \"15 minutes\"], [\"what did I read on 2020/10/20?\", \"news\"], [\"Did I read on 2020/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/21\": {\"exercise\": {\"eid\": \"e6932\", \"logical_representation\": [\"2020/10/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/10/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2020/10/22\": {\"dinner\": {\"eid\": \"e6933\", \"logical_representation\": [\"2020/10/22\", \"dinner\", \"fish and chips\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/10/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6934\", \"logical_representation\": [\"2020/10/22\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/10/22?\", \"17 minutes\"], [\"what did I read on 2020/10/22?\", \"a book\"], [\"Did I read on 2020/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/23\": {\"chat0\": {\"eid\": \"e6935\", \"logical_representation\": [\"2020/10/23\", \"Layla, Avery, Piper\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Layla, Avery, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Piper in the early evening on 2020/10/23?\", \"30 minutes\"], [\"who did I talk to on 2020/10/23?\", \"Layla, Avery, Piper\"], [\"Did I talk to Layla, Avery, Piper on 2020/10/23?\", \"yes\"], [\"Did I talk to anyone on 2020/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6936\", \"logical_representation\": [\"2020/10/23\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/10/23?\", \"27 minutes\"], [\"what did I read on 2020/10/23?\", \"social media\"], [\"Did I read on 2020/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6937\", \"logical_representation\": [\"2020/10/23\", \"a documentary\", \"27 minutes\"], \"text_template_based\": \"I watched a documentary for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/23?\", \"27 minutes\"], [\"what did I watch on tv on 2020/10/23?\", \"a documentary\"], [\"Did I watch tv on 2020/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/24\": {\"watch tv\": {\"eid\": \"e6938\", \"logical_representation\": [\"2020/10/24\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/10/24?\", \"29 minutes\"], [\"what did I watch on tv on 2020/10/24?\", \"news\"], [\"Did I watch tv on 2020/10/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/26\": {\"chat0\": {\"eid\": \"e6941\", \"logical_representation\": [\"2020/10/26\", \"Hazel, Piper\", \"in the morning\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Hazel, Piper on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper in the morning on 2020/10/26?\", \"39 minutes\"], [\"who did I talk to on 2020/10/26?\", \"Hazel, Piper\"], [\"Did I talk to Hazel, Piper on 2020/10/26?\", \"yes\"], [\"Did I talk to anyone on 2020/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6942\", \"logical_representation\": [\"2020/10/26\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/10/26?\", \"34 minutes\"], [\"what did I read on 2020/10/26?\", \"news\"], [\"Did I read on 2020/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/10/28\": {\"breakfast\": {\"eid\": \"e6947\", \"logical_representation\": [\"2020/10/28\", \"breakfast\", \"oatmeal\", \"Benjamin, Willow\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/10/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2020/10/29\": {\"breakfast\": {\"eid\": \"e6948\", \"logical_representation\": [\"2020/10/29\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Olivia, Lydia\"], \"text_template_based\": \"I had breakfast with Hazel, Olivia, Lydia. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/10/29?\", \"Hazel, Olivia, Lydia\"], [\"what did I eat for breakfast on 2020/10/29\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6949\", \"logical_representation\": [\"2020/10/29\", \"lunch\", \"steak\", \"Jackson, Avery\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/10/29\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6950\", \"logical_representation\": [\"2020/10/29\", \"dinner\", \"fish and chips\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/10/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2020/10/30\": {\"breakfast\": {\"eid\": \"e6951\", \"logical_representation\": [\"2020/10/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/10/30?\", \"Kayden\"], [\"what did I eat for breakfast on 2020/10/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2020/10/31\": {\"exercise\": {\"eid\": \"e6952\", \"logical_representation\": [\"2020/10/31\", \"biking\"], \"text_template_based\": \"I did biking on 2020/10/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/10/31?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e6953\", \"logical_representation\": [\"2020/10/31\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/10/31?\", \"Benjamin\"], [\"what did I eat for breakfast on 2020/10/31\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6954\", \"logical_representation\": [\"2020/10/31\", \"lunch\", \"sushi\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I had sushi for lunch with Willow, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/10/31?\", \"Willow, Jackson, Avery\"], [\"what did I eat for lunch on 2020/10/31\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2020/11/01\": {\"exercise\": {\"eid\": \"e6955\", \"logical_representation\": [\"2020/11/01\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/11/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/01?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2020/11/02\": {\"exercise\": {\"eid\": \"e6956\", \"logical_representation\": [\"2020/11/02\", \"biking\"], \"text_template_based\": \"I did biking on 2020/11/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/02?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6957\", \"logical_representation\": [\"2020/11/02\", \"dinner\", \"indian food\", \"Andrew, Emily\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/11/02\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e6958\", \"logical_representation\": [\"2020/11/02\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/11/02?\", \"5 minutes\"], [\"what did I read on 2020/11/02?\", \"news\"], [\"Did I read on 2020/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/04\": {\"breakfast\": {\"eid\": \"e6960\", \"logical_representation\": [\"2020/11/04\", \"breakfast\", \"pancakes\", \"Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/11/04\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e6961\", \"logical_representation\": [\"2020/11/04\", \"lunch\", \"tacos\", \"Layla, Hazel, Nora, Avery\"], \"text_template_based\": \"I had lunch with Layla, Hazel, Nora, Avery. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/11/04?\", \"Layla, Hazel, Nora, Avery\"], [\"what did I eat for lunch on 2020/11/04\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6962\", \"logical_representation\": [\"2020/11/04\", \"a movie\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/04?\", \"15 minutes\"], [\"what did I watch on tv on 2020/11/04?\", \"a movie\"], [\"Did I watch tv on 2020/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/05\": {\"read\": {\"eid\": \"e6963\", \"logical_representation\": [\"2020/11/05\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/11/05?\", \"42 minutes\"], [\"what did I read on 2020/11/05?\", \"a book\"], [\"Did I read on 2020/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/06\": {\"read\": {\"eid\": \"e6964\", \"logical_representation\": [\"2020/11/06\", \"a book\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/11/06?\", \"33 minutes\"], [\"what did I read on 2020/11/06?\", \"a book\"], [\"Did I read on 2020/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/07\": {\"lunch\": {\"eid\": \"e6965\", \"logical_representation\": [\"2020/11/07\", \"lunch\", \"steak\", \"Kinsley, Avery, Nora, Eva, Claire, Piper, Rylee, Hazel, Olivia, Lydia, Piper, Layla, Nevaeh\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/11/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6966\", \"logical_representation\": [\"2020/11/07\", \"dinner\", \"tacos\", \"Hazel, Claire\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/11/07\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2020/11/09\": {\"lunch\": {\"eid\": \"e6970\", \"logical_representation\": [\"2020/11/09\", \"lunch\", \"tacos\", \"Nora, Nevaeh, Piper, Layla, Piper, Kinsley, Lydia\"], \"text_template_based\": \"I had lunch with Nora, Nevaeh, Piper, Layla, Piper, Kinsley, Lydia. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/11/09?\", \"Nora, Nevaeh, Piper, Layla, Piper, Kinsley, Lydia\"], [\"what did I eat for lunch on 2020/11/09\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2020/11/11\": {\"lunch\": {\"eid\": \"e6973\", \"logical_representation\": [\"2020/11/11\", \"lunch\", \"sandwich\", \"Lydia, Hazel, Olivia, Eva, Nora, Rylee, Piper, Kinsley, Avery, Layla, Nevaeh\"], \"text_template_based\": \"I had lunch with Lydia, Hazel, Olivia, Eva, Nora, Rylee, Piper, Kinsley, Avery, Layla, Nevaeh. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/11/11?\", \"Lydia, Hazel, Olivia, Eva, Nora, Rylee, Piper, Kinsley, Avery, Layla, Nevaeh\"], [\"what did I eat for lunch on 2020/11/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2020/11/12\": {\"dinner\": {\"eid\": \"e6974\", \"logical_representation\": [\"2020/11/12\", \"dinner\", \"chinese food\", \"Layla, Piper, Rylee, Piper, Eva, Olivia\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/11/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6975\", \"logical_representation\": [\"2020/11/12\", \"Piper, Rylee, Lydia\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Piper, Rylee, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Lydia late in the evening on 2020/11/12?\", \"15 minutes\"], [\"who did I talk to on 2020/11/12?\", \"Piper, Rylee, Lydia\"], [\"Did I talk to Piper, Rylee, Lydia on 2020/11/12?\", \"yes\"], [\"Did I talk to anyone on 2020/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/15\": {\"exercise\": {\"eid\": \"e6979\", \"logical_representation\": [\"2020/11/15\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/11/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/15?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e6980\", \"logical_representation\": [\"2020/11/15\", \"dinner\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had chinese food for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/11/15?\", \"Andrew\"], [\"what did I eat for dinner on 2020/11/15\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6981\", \"logical_representation\": [\"2020/11/15\", \"Layla, Avery, Eva, Kinsley\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Layla, Avery, Eva, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Eva, Kinsley in the early afternoon on 2020/11/15?\", \"38 minutes\"], [\"who did I talk to on 2020/11/15?\", \"Layla, Avery, Eva, Kinsley\"], [\"Did I talk to Layla, Avery, Eva, Kinsley on 2020/11/15?\", \"yes\"], [\"Did I talk to anyone on 2020/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/18\": {\"lunch\": {\"eid\": \"e6985\", \"logical_representation\": [\"2020/11/18\", \"lunch\", \"chinese food\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had chinese food for lunch with Andrew, Carter, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/11/18?\", \"Andrew, Carter, Emily, Kayden\"], [\"what did I eat for lunch on 2020/11/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2020/11/19\": {\"exercise\": {\"eid\": \"e6986\", \"logical_representation\": [\"2020/11/19\", \"swimming\"], \"text_template_based\": \"I did swimming on 2020/11/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/19?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6987\", \"logical_representation\": [\"2020/11/19\", \"Layla\", \"late in the evening\", \"37 minutes\"], \"text_template_based\": \"I talked to Layla for 37 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla late in the evening on 2020/11/19?\", \"37 minutes\"], [\"who did I talk to on 2020/11/19?\", \"Layla\"], [\"Did I talk to Layla on 2020/11/19?\", \"yes\"], [\"Did I talk to anyone on 2020/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/21\": {\"exercise\": {\"eid\": \"e6988\", \"logical_representation\": [\"2020/11/21\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2020/11/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/21?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e6989\", \"logical_representation\": [\"2020/11/21\", \"a documentary\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/11/21?\", \"9 minutes\"], [\"what did I watch on tv on 2020/11/21?\", \"a documentary\"], [\"Did I watch tv on 2020/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/24\": {\"breakfast\": {\"eid\": \"e6991\", \"logical_representation\": [\"2020/11/24\", \"breakfast\", \"toast and cheese\", \"Avery, Layla, Rylee, Kinsley, Piper, Piper, Nevaeh, Nora, Lydia\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/11/24\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e6992\", \"logical_representation\": [\"2020/11/24\", \"Piper\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I talked to Piper for 22 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early afternoon on 2020/11/24?\", \"22 minutes\"], [\"who did I talk to on 2020/11/24?\", \"Piper\"], [\"Did I talk to Piper on 2020/11/24?\", \"yes\"], [\"Did I talk to anyone on 2020/11/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/25\": {\"lunch\": {\"eid\": \"e6993\", \"logical_representation\": [\"2020/11/25\", \"lunch\", \"a burger\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/11/25\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2020/11/27\": {\"chat0\": {\"eid\": \"e6994\", \"logical_representation\": [\"2020/11/27\", \"Kinsley, Claire\", \"during lunch hours\", \"31 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire for 31 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire during lunch hours on 2020/11/27?\", \"31 minutes\"], [\"who did I talk to on 2020/11/27?\", \"Kinsley, Claire\"], [\"Did I talk to Kinsley, Claire on 2020/11/27?\", \"yes\"], [\"Did I talk to anyone on 2020/11/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/28\": {\"chat0\": {\"eid\": \"e6995\", \"logical_representation\": [\"2020/11/28\", \"Rylee, Hazel\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Rylee, Hazel on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Hazel in the early evening on 2020/11/28?\", \"49 minutes\"], [\"who did I talk to on 2020/11/28?\", \"Rylee, Hazel\"], [\"Did I talk to Rylee, Hazel on 2020/11/28?\", \"yes\"], [\"Did I talk to anyone on 2020/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6996\", \"logical_representation\": [\"2020/11/28\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/11/28?\", \"53 minutes\"], [\"what did I read on 2020/11/28?\", \"social media\"], [\"Did I read on 2020/11/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/29\": {\"chat0\": {\"eid\": \"e6997\", \"logical_representation\": [\"2020/11/29\", \"Piper, Nora, Layla, Eva\", \"in the early afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Piper, Nora, Layla, Eva for 50 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nora, Layla, Eva in the early afternoon on 2020/11/29?\", \"50 minutes\"], [\"who did I talk to on 2020/11/29?\", \"Piper, Nora, Layla, Eva\"], [\"Did I talk to Piper, Nora, Layla, Eva on 2020/11/29?\", \"yes\"], [\"Did I talk to anyone on 2020/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e6998\", \"logical_representation\": [\"2020/11/29\", \"social media\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/11/29?\", \"15 minutes\"], [\"what did I read on 2020/11/29?\", \"social media\"], [\"Did I read on 2020/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/11/30\": {\"exercise\": {\"eid\": \"e6999\", \"logical_representation\": [\"2020/11/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/11/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/11/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7000\", \"logical_representation\": [\"2020/11/30\", \"breakfast\", \"toast and cheese\", \"Willow, Avery\"], \"text_template_based\": \"I had toast and cheese for breakfast with Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/11/30?\", \"Willow, Avery\"], [\"what did I eat for breakfast on 2020/11/30\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2020/12/02\": {\"read\": {\"eid\": \"e7001\", \"logical_representation\": [\"2020/12/02\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2020/12/02?\", \"15 minutes\"], [\"what did I read on 2020/12/02?\", \"news\"], [\"Did I read on 2020/12/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/03\": {\"dinner\": {\"eid\": \"e7002\", \"logical_representation\": [\"2020/12/03\", \"dinner\", \"indian food\", \"Andrew\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/12/03\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2020/12/05\": {\"exercise\": {\"eid\": \"e7003\", \"logical_representation\": [\"2020/12/05\", \"biking\"], \"text_template_based\": \"I did biking on 2020/12/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/05?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7004\", \"logical_representation\": [\"2020/12/05\", \"dinner\", \"fish and chips\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I had dinner with Jackson, Benjamin, Willow, Avery. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/12/05?\", \"Jackson, Benjamin, Willow, Avery\"], [\"what did I eat for dinner on 2020/12/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2020/12/07\": {\"exercise\": {\"eid\": \"e7005\", \"logical_representation\": [\"2020/12/07\", \"hiking\"], \"text_template_based\": \"I did hiking on 2020/12/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/07?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7006\", \"logical_representation\": [\"2020/12/07\", \"breakfast\", \"pancakes\", \"Benjamin\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/12/07\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7007\", \"logical_representation\": [\"2020/12/07\", \"lunch\", \"sushi\", \"Claire, Hazel, Olivia, Nevaeh, Avery, Lydia, Nora, Piper\"], \"text_template_based\": \"I had lunch with Claire, Hazel, Olivia, Nevaeh, Avery, Lydia, Nora, Piper. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/12/07?\", \"Claire, Hazel, Olivia, Nevaeh, Avery, Lydia, Nora, Piper\"], [\"what did I eat for lunch on 2020/12/07\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2020/12/08\": {\"lunch\": {\"eid\": \"e7008\", \"logical_representation\": [\"2020/12/08\", \"lunch\", \"chinese food\", \"Olivia, Nevaeh, Claire, Rylee, Hazel, Avery, Piper, Lydia, Kinsley, Piper, Layla\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/12/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7009\", \"logical_representation\": [\"2020/12/08\", \"Piper, Eva, Avery, Kinsley\", \"in the morning\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Piper, Eva, Avery, Kinsley on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Avery, Kinsley in the morning on 2020/12/08?\", \"54 minutes\"], [\"who did I talk to on 2020/12/08?\", \"Piper, Eva, Avery, Kinsley\"], [\"Did I talk to Piper, Eva, Avery, Kinsley on 2020/12/08?\", \"yes\"], [\"Did I talk to anyone on 2020/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/10\": {\"breakfast\": {\"eid\": \"e7010\", \"logical_representation\": [\"2020/12/10\", \"breakfast\", \"toast and cheese\", \"Jackson\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/12/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7011\", \"logical_representation\": [\"2020/12/10\", \"lunch\", \"chinese food\", \"Piper, Avery, Claire, Kinsley, Eva, Nora, Layla, Nevaeh, Hazel, Piper, Lydia, Olivia\"], \"text_template_based\": \"I had lunch with Piper, Avery, Claire, Kinsley, Eva, Nora, Layla, Nevaeh, Hazel, Piper, Lydia, Olivia. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/12/10?\", \"Piper, Avery, Claire, Kinsley, Eva, Nora, Layla, Nevaeh, Hazel, Piper, Lydia, Olivia\"], [\"what did I eat for lunch on 2020/12/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7012\", \"logical_representation\": [\"2020/12/10\", \"dinner\", \"a burger\", \"Kinsley, Eva, Nora, Lydia\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/12/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7013\", \"logical_representation\": [\"2020/12/10\", \"Nevaeh, Nora, Layla, Hazel\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Nora, Layla, Hazel for 52 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Nora, Layla, Hazel in the early afternoon on 2020/12/10?\", \"52 minutes\"], [\"who did I talk to on 2020/12/10?\", \"Nevaeh, Nora, Layla, Hazel\"], [\"Did I talk to Nevaeh, Nora, Layla, Hazel on 2020/12/10?\", \"yes\"], [\"Did I talk to anyone on 2020/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/11\": {\"exercise\": {\"eid\": \"e7014\", \"logical_representation\": [\"2020/12/11\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2020/12/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/11?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7015\", \"logical_representation\": [\"2020/12/11\", \"lunch\", \"sushi\", \"Piper, Olivia, Claire, Nora, Hazel, Piper, Avery, Nevaeh, Eva, Kinsley, Lydia\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2020/12/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7016\", \"logical_representation\": [\"2020/12/11\", \"dinner\", \"sushi\", \"Benjamin, Jackson, Avery, Willow\"], \"text_template_based\": \"I had dinner with Benjamin, Jackson, Avery, Willow. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/12/11?\", \"Benjamin, Jackson, Avery, Willow\"], [\"what did I eat for dinner on 2020/12/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7017\", \"logical_representation\": [\"2020/12/11\", \"Rylee, Piper\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Rylee, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper in the late afternoon on 2020/12/11?\", \"19 minutes\"], [\"who did I talk to on 2020/12/11?\", \"Rylee, Piper\"], [\"Did I talk to Rylee, Piper on 2020/12/11?\", \"yes\"], [\"Did I talk to anyone on 2020/12/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/12\": {\"lunch\": {\"eid\": \"e7018\", \"logical_representation\": [\"2020/12/12\", \"lunch\", \"chinese food\", \"Hazel, Eva, Rylee, Lydia, Piper, Nora, Avery, Claire, Layla, Kinsley, Nevaeh, Piper\"], \"text_template_based\": \"I had chinese food for lunch with Hazel, Eva, Rylee, Lydia, Piper, Nora, Avery, Claire, Layla, Kinsley, Nevaeh, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/12/12?\", \"Hazel, Eva, Rylee, Lydia, Piper, Nora, Avery, Claire, Layla, Kinsley, Nevaeh, Piper\"], [\"what did I eat for lunch on 2020/12/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2020/12/13\": {\"chat0\": {\"eid\": \"e7019\", \"logical_representation\": [\"2020/12/13\", \"Hazel\", \"late in the evening\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2020/12/13?\", \"53 minutes\"], [\"who did I talk to on 2020/12/13?\", \"Hazel\"], [\"Did I talk to Hazel on 2020/12/13?\", \"yes\"], [\"Did I talk to anyone on 2020/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/14\": {\"breakfast\": {\"eid\": \"e7020\", \"logical_representation\": [\"2020/12/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Hazel, Avery, Piper, Kinsley\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/12/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2020/12/15\": {\"chat0\": {\"eid\": \"e7021\", \"logical_representation\": [\"2020/12/15\", \"Nora, Piper, Avery\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Nora, Piper, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Avery late in the evening on 2020/12/15?\", \"55 minutes\"], [\"who did I talk to on 2020/12/15?\", \"Nora, Piper, Avery\"], [\"Did I talk to Nora, Piper, Avery on 2020/12/15?\", \"yes\"], [\"Did I talk to anyone on 2020/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7022\", \"logical_representation\": [\"2020/12/15\", \"a documentary\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/12/15?\", \"36 minutes\"], [\"what did I watch on tv on 2020/12/15?\", \"a documentary\"], [\"Did I watch tv on 2020/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/17\": {\"exercise\": {\"eid\": \"e7026\", \"logical_representation\": [\"2020/12/17\", \"biking\"], \"text_template_based\": \"I did biking on 2020/12/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/17?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7027\", \"logical_representation\": [\"2020/12/17\", \"breakfast\", \"toast and cheese\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2020/12/17\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2020/12/18\": {\"dinner\": {\"eid\": \"e7028\", \"logical_representation\": [\"2020/12/18\", \"dinner\", \"chinese food\", \"Carter, Andrew\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/12/18\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2020/12/20\": {\"breakfast\": {\"eid\": \"e7029\", \"logical_representation\": [\"2020/12/20\", \"breakfast\", \"oatmeal\", \"Carter\"], \"text_template_based\": \"I had breakfast with Carter. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/12/20?\", \"Carter\"], [\"what did I eat for breakfast on 2020/12/20\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7030\", \"logical_representation\": [\"2020/12/20\", \"dinner\", \"a burger\", \"Willow, Jackson, Avery\"], \"text_template_based\": \"I had a burger for dinner with Willow, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/12/20?\", \"Willow, Jackson, Avery\"], [\"what did I eat for dinner on 2020/12/20\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7031\", \"logical_representation\": [\"2020/12/20\", \"Lydia, Claire\", \"in the late afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Lydia, Claire on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Claire in the late afternoon on 2020/12/20?\", \"44 minutes\"], [\"who did I talk to on 2020/12/20?\", \"Lydia, Claire\"], [\"Did I talk to Lydia, Claire on 2020/12/20?\", \"yes\"], [\"Did I talk to anyone on 2020/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/23\": {\"lunch\": {\"eid\": \"e7033\", \"logical_representation\": [\"2020/12/23\", \"lunch\", \"pasta\", \"Benjamin\"], \"text_template_based\": \"I had pasta for lunch with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/12/23?\", \"Benjamin\"], [\"what did I eat for lunch on 2020/12/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7034\", \"logical_representation\": [\"2020/12/23\", \"dinner\", \"tacos\", \"Eva\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2020/12/23\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2020/12/25\": {\"read\": {\"eid\": \"e7035\", \"logical_representation\": [\"2020/12/25\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2020/12/25?\", \"39 minutes\"], [\"what did I read on 2020/12/25?\", \"a book\"], [\"Did I read on 2020/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7036\", \"logical_representation\": [\"2020/12/25\", \"a documentary\", \"16 minutes\"], \"text_template_based\": \"I watched a documentary for 16 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2020/12/25?\", \"16 minutes\"], [\"what did I watch on tv on 2020/12/25?\", \"a documentary\"], [\"Did I watch tv on 2020/12/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/26\": {\"dinner\": {\"eid\": \"e7037\", \"logical_representation\": [\"2020/12/26\", \"dinner\", \"tacos\", \"Kayden, Andrew\"], \"text_template_based\": \"I had tacos for dinner with Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/12/26?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2020/12/26\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7038\", \"logical_representation\": [\"2020/12/26\", \"Avery, Nevaeh\", \"in the morning\", \"46 minutes\"], \"text_template_based\": \"I talked to Avery, Nevaeh for 46 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh in the morning on 2020/12/26?\", \"46 minutes\"], [\"who did I talk to on 2020/12/26?\", \"Avery, Nevaeh\"], [\"Did I talk to Avery, Nevaeh on 2020/12/26?\", \"yes\"], [\"Did I talk to anyone on 2020/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7039\", \"logical_representation\": [\"2020/12/26\", \"social media\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2020/12/26?\", \"29 minutes\"], [\"what did I read on 2020/12/26?\", \"social media\"], [\"Did I read on 2020/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/27\": {\"exercise\": {\"eid\": \"e7040\", \"logical_representation\": [\"2020/12/27\", \"running\"], \"text_template_based\": \"I did running on 2020/12/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2020/12/27?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7041\", \"logical_representation\": [\"2020/12/27\", \"dinner\", \"steak\", \"Avery, Eva, Olivia, Kinsley\"], \"text_template_based\": \"I had steak for dinner with Avery, Eva, Olivia, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2020/12/27?\", \"Avery, Eva, Olivia, Kinsley\"], [\"what did I eat for dinner on 2020/12/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7042\", \"logical_representation\": [\"2020/12/27\", \"Nevaeh, Olivia, Layla\", \"in the early evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Nevaeh, Olivia, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Olivia, Layla in the early evening on 2020/12/27?\", \"44 minutes\"], [\"who did I talk to on 2020/12/27?\", \"Nevaeh, Olivia, Layla\"], [\"Did I talk to Nevaeh, Olivia, Layla on 2020/12/27?\", \"yes\"], [\"Did I talk to anyone on 2020/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2020/12/30\": {\"breakfast\": {\"eid\": \"e7043\", \"logical_representation\": [\"2020/12/30\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2020/12/30?\", \"Emily\"], [\"what did I eat for breakfast on 2020/12/30\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7044\", \"logical_representation\": [\"2020/12/30\", \"lunch\", \"pasta\", \"Eva, Claire, Hazel, Nevaeh, Avery, Rylee, Kinsley, Lydia, Piper, Nora, Layla, Piper\"], \"text_template_based\": \"I had lunch with Eva, Claire, Hazel, Nevaeh, Avery, Rylee, Kinsley, Lydia, Piper, Nora, Layla, Piper. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2020/12/30?\", \"Eva, Claire, Hazel, Nevaeh, Avery, Rylee, Kinsley, Lydia, Piper, Nora, Layla, Piper\"], [\"what did I eat for lunch on 2020/12/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7045\", \"logical_representation\": [\"2020/12/30\", \"Hazel, Claire\", \"in the early evening\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Hazel, Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire in the early evening on 2020/12/30?\", \"54 minutes\"], [\"who did I talk to on 2020/12/30?\", \"Hazel, Claire\"], [\"Did I talk to Hazel, Claire on 2020/12/30?\", \"yes\"], [\"Did I talk to anyone on 2020/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/07\": {\"travel\": {\"eid\": \"e7048\", \"logical_representation\": [\"2021/02/07\", \"2021/02/19\", [\"Emily\", \"Carter\"], \"Dubai, UAE\"], \"text_template_based\": \"On 2021/02/07 Emily, Carter and I went to Dubai, UAE together for 12 days \", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I go with to Dubai, UAE on 2021/02/07?\", \"Emily, Carter\"], [\"who did I go with to Dubai, UAE?\", \"Emily, Carter\"], [\"where did I go on 2021/02/07?\", \"Dubai, UAE\"], [\"when did I go to Dubai, UAE?\", \"2021/02/07\"], [\"when did I go to Dubai, UAE with Emily, Carter ?\", \"2021/02/07\"], [\"How long did I stay in Dubai, UAE?\", \"12\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7201\", \"logical_representation\": [\"2021/02/07\", \"dinner\", \"sandwich\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I had sandwich for dinner with Andrew, Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/02/07?\", \"Andrew, Kayden, Carter\"], [\"what did I eat for dinner on 2021/02/07\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2021/02/08\": {\"places_visited\": {\"eid\": \"e7049\", \"logical_representation\": [\"2021/02/08\", [\"Emily\", \"Carter\"], \"Miracle Garden\", \"took a group photo\", \"special\"], \"text_template_based\": \"During my trip to Dubai, UAE, I visited Miracle Garden on 2021/02 with Emily, Carter.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"where did I visit during my trip to Dubai, UAE on 2021/02\", \"Miracle Garden\"], [\"when did I visit Miracle Garden during my trip to Dubai, UAE\", \"2021/02/08\"], [\"when did I visit Miracle Garden \", \"2021/02/08\"], [\"who went with me to visit Miracle Garden ?\", \"Emily, Carter\"], [\"who went with me to visit Miracle Garden during my trip to Dubai, UAE on 2021/02?\", \"Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"dating\": {\"eid\": \"e7075\", \"logical_representation\": [\"2021/02/08\", \"Eliana\", \"a park\"], \"text_template_based\": \"On 2021/02/08, I took Eliana on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/02/08\", \"Eliana\"], [\"where did I go for the date on 2021/02/08\", \"a park\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7076\", \"logical_representation\": [\"2021/02/08\", \"I bought some oranges, peaches, mandarins, pineapple juice, coffee, body lotion, paper towel, shampoo from the grocery store. I saw Avery, Benjamin, Jackson at the grocery store.\", \"oranges, peaches, mandarins\", \"pineapple juice, coffee\", \"body lotion, paper towel, shampoo\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I bought some oranges, peaches, mandarins, pineapple juice, coffee, body lotion, paper towel, shampoo from the grocery store. I saw Avery, Benjamin, Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/02/08?\", \"oranges, peaches, mandarins, pineapple juice, coffee, and body lotion, paper towel, shampoo\"], [\"what fruits did I buy from the grocery store on 2021/02/08?\", \"oranges, peaches, mandarins\"], [\"what drinks did I buy from the grocery store on 2021/02/08?\", \"pineapple juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2021/02/08?\", \"body lotion, paper towel, shampoo\"], [\"who did I see at the grocery store on 2021/02/08?\", \"Avery, Benjamin, Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7202\", \"logical_representation\": [\"2021/02/08\", \"breakfast\", \"toast and cheese\", \"Jackson, Avery, Willow, Benjamin\"], \"text_template_based\": \"I had toast and cheese for breakfast with Jackson, Avery, Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/02/08?\", \"Jackson, Avery, Willow, Benjamin\"], [\"what did I eat for breakfast on 2021/02/08\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7203\", \"logical_representation\": [\"2021/02/08\", \"a documentary\", \"54 minutes\"], \"text_template_based\": \"I watched a documentary for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/02/08?\", \"54 minutes\"], [\"what did I watch on tv on 2021/02/08?\", \"a documentary\"], [\"Did I watch tv on 2021/02/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/09\": {\"places_visited\": {\"eid\": \"e7050\", \"logical_representation\": [\"2021/02/09\", [\"Emily\", \"Carter\"], \"Dubai Aquarium & Underwater Zoo\", \"took a group photo\", \"happy\"], \"text_template_based\": \"During my trip to Dubai, UAE, I visited Dubai Aquarium & Underwater Zoo on 2021/02 with Emily, Carter.\", 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I bought some peaches, mangos, oranges, blueberries, guava juice, chocolate milk, and conditioner\", \"peaches, mangos, oranges, blueberries\", \"guava juice, chocolate milk\", \"conditioner\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I went grocery shopping with Jackson, Willow, Benjamin, Avery. I bought some peaches, mangos, oranges, blueberries, guava juice, chocolate milk, and conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/03/06?\", \"peaches, mangos, oranges, blueberries, guava juice, chocolate milk, and conditioner\"], [\"what fruits did I buy from the grocery store on 2021/03/06?\", \"peaches, mangos, oranges, blueberries\"], [\"what drinks did I buy from the grocery store on 2021/03/06?\", \"guava juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2021/03/06?\", \"conditioner\"], [\"who was with me at the grocery store on 2021/03/06?\", \"Jackson, Willow, Benjamin, Avery\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7241\", \"logical_representation\": [\"2021/03/06\", \"breakfast\", \"cereals\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/03/06\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2021/03/15\": {\"grocery\": {\"eid\": \"e7083\", \"logical_representation\": [\"2021/03/15\", \"I went grocery shopping. 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I bought some pineapples, mangos, apples, apple juice, orange juice, chocolate milk, pineapple juice, and mouthwash, shaving cream, conditioner, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/03/15?\", \"pineapples, mangos, apples, apple juice, orange juice, chocolate milk, pineapple juice, and mouthwash, shaving cream, conditioner, paper towel\"], [\"what fruits did I buy from the grocery store on 2021/03/15?\", \"pineapples, mangos, apples\"], [\"what drinks did I buy from the grocery store on 2021/03/15?\", \"apple juice, orange juice, chocolate milk, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2021/03/15?\", \"mouthwash, shaving cream, conditioner, paper towel\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7258\", \"logical_representation\": [\"2021/03/15\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I had toast and cheese for breakfast with Andrew, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/03/15?\", \"Andrew, Carter, Kayden\"], [\"what did I eat for breakfast on 2021/03/15\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7259\", \"logical_representation\": [\"2021/03/15\", \"Eva, Avery, Piper\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I talked to Eva, Avery, Piper for 37 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Piper in the morning on 2021/03/15?\", \"37 minutes\"], [\"who did I talk to on 2021/03/15?\", \"Eva, Avery, Piper\"], [\"Did I talk to Eva, Avery, Piper on 2021/03/15?\", \"yes\"], [\"Did I talk to anyone on 2021/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/19\": {\"cook\": {\"eid\": \"e7084\", \"logical_representation\": [\"2021/03/19\", \"I really enjoyed cooking poke on 2021/03/19 with Andrew, Emily at my place\", \"cook\", \"poke\", \"Andrew, Emily\", \"my place\"], \"text_template_based\": \"I really enjoyed cooking poke on 2021/03/19 with Andrew, Emily at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  poke with Andrew, Emily?\", \"2021/03/19\"], [\"what did I  on 2021/03/19?\", \"poke\"], [\"who was I with when I  poke on 2021/03/19?\", \"Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7269\", \"logical_representation\": [\"2021/03/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/03/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7270\", \"logical_representation\": [\"2021/03/19\", \"breakfast\", \"peanut-butter-jam\", \"Emily\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/03/19\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7271\", \"logical_representation\": [\"2021/03/19\", \"dinner\", \"pasta\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/19\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2021/03/25\": {\"grocery\": {\"eid\": \"e7085\", \"logical_representation\": [\"2021/03/25\", \"I bought some cherres, tea, mineral water, sports drinks, paper towel, shaving cream, body lotion from the grocery store. I saw Eva, Nora, Piper, Claire, Olivia, Nevaeh, Piper, Avery, Hazel, Lydia, Rylee at the grocery store.\", \"cherres\", \"tea, mineral water, sports drinks\", \"paper towel, shaving cream, body lotion\", \"Eva, Nora, Piper, Claire, Olivia, Nevaeh, Piper, Avery, Hazel, Lydia, Rylee\"], \"text_template_based\": \"I bought some cherres, tea, mineral water, sports drinks, paper towel, shaving cream, body lotion from the grocery store. I saw Eva, Nora, Piper, Claire, Olivia, Nevaeh, Piper, Avery, Hazel, Lydia, Rylee at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/03/25?\", \"cherres, tea, mineral water, sports drinks, and paper towel, shaving cream, body lotion\"], [\"what fruits did I buy from the grocery store on 2021/03/25?\", \"cherres\"], [\"what drinks did I buy from the grocery store on 2021/03/25?\", \"tea, mineral water, sports drinks\"], [\"what toiletries did I buy from the grocery store on 2021/03/25?\", \"paper towel, shaving cream, body lotion\"], [\"who did I see at the grocery store on 2021/03/25?\", \"Eva, Nora, Piper, Claire, Olivia, Nevaeh, Piper, Avery, Hazel, Lydia, Rylee\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7277\", \"logical_representation\": [\"2021/03/25\", \"biking\"], \"text_template_based\": \"I did biking on 2021/03/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/25?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2021/03/29\": {\"dating\": {\"eid\": \"e7086\", \"logical_representation\": [\"2021/03/29\", \"Aaliyah\", \"a park\"], \"text_template_based\": \"I went on a date with Aaliyah on 2021/03/29 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/03/29\", \"Aaliyah\"], [\"where did I go for the date on 2021/03/29\", \"a park\"]], \"multihop_qa_pairs\": []}}, \"2021/04/04\": {\"grocery\": {\"eid\": \"e7087\", \"logical_representation\": [\"2021/04/04\", \"I bought some apricots, chocolate milk, facial wash, shaving cream, toilet paper online.\", \"apricots\", \"chocolate milk\", \"facial wash, shaving cream, toilet paper\", \"Piper, Rylee, Eva, Hazel, Avery, Layla, Lydia, Piper, Kinsley, Claire\"], \"text_template_based\": \"I bought some apricots, chocolate milk, facial wash, shaving cream, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/04/04?\", \"apricots, chocolate milk, and facial wash, shaving cream, toilet paper\"], [\"what fruits did I buy online on 2021/04/04?\", \"apricots\"], [\"what drinks did I buy online on 2021/04/04?\", \"chocolate milk\"], [\"what toiletries did I buy online on 2021/04/04?\", \"facial wash, shaving cream, toilet paper\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7296\", \"logical_representation\": [\"2021/04/04\", \"lunch\", \"pasta\", \"Hazel, Nora, Piper, Olivia, Piper, Avery, Layla, Lydia\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/04/04\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7297\", \"logical_representation\": [\"2021/04/04\", \"a tv series\", \"53 minutes\"], \"text_template_based\": \"I watched a tv series for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/04?\", \"53 minutes\"], [\"what did I watch on tv on 2021/04/04?\", \"a tv series\"], [\"Did I watch tv on 2021/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/07\": {\"grocery\": {\"eid\": \"e7088\", \"logical_representation\": [\"2021/04/07\", \"I went grocery shopping. I bought some mandarins, pears, pineapple juice, milk, apple juice, chocolate milk, and conditioner, shaving cream, toothpaste, toilet paper\", \"mandarins, pears\", \"pineapple juice, milk, apple juice, chocolate milk\", \"conditioner, shaving cream, toothpaste, toilet paper\", \"Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, pears, pineapple juice, milk, apple juice, chocolate milk, and conditioner, shaving cream, toothpaste, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/04/07?\", \"mandarins, pears, pineapple juice, milk, apple juice, chocolate milk, and conditioner, shaving cream, toothpaste, toilet paper\"], [\"what fruits did I buy from the grocery store on 2021/04/07?\", \"mandarins, pears\"], [\"what drinks did I buy from the grocery store on 2021/04/07?\", \"pineapple juice, milk, apple juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2021/04/07?\", \"conditioner, shaving cream, toothpaste, toilet paper\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7299\", \"logical_representation\": [\"2021/04/07\", \"lunch\", \"sushi\", \"Layla, Piper, Rylee, Claire, Olivia, Nevaeh, Kinsley, Hazel, Avery, Eva, Piper, Lydia\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/04/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7300\", \"logical_representation\": [\"2021/04/07\", \"news\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/04/07?\", \"18 minutes\"], [\"what did I read on 2021/04/07?\", \"news\"], [\"Did I read on 2021/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/09\": {\"grocery\": {\"eid\": \"e7089\", \"logical_representation\": [\"2021/04/09\", \"I went grocery shopping with Andrew, Emily, Kayden. I bought some blueberries, mandarins, pineapples, strawberries, soda, orange juice, milk, coffee, and toothpaste, toothbrush, paper towel\", \"blueberries, mandarins, pineapples, strawberries\", \"soda, orange juice, milk, coffee\", \"toothpaste, toothbrush, paper towel\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I went grocery shopping with Andrew, Emily, Kayden. I bought some blueberries, mandarins, pineapples, strawberries, soda, orange juice, milk, coffee, and toothpaste, toothbrush, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/04/09?\", \"blueberries, mandarins, pineapples, strawberries, soda, orange juice, milk, coffee, and toothpaste, toothbrush, paper towel\"], [\"what fruits did I buy from the grocery store on 2021/04/09?\", \"blueberries, mandarins, pineapples, strawberries\"], [\"what drinks did I buy from the grocery store on 2021/04/09?\", \"soda, orange juice, milk, coffee\"], [\"what toiletries did I buy from the grocery store on 2021/04/09?\", \"toothpaste, toothbrush, paper towel\"], [\"who was with me at the grocery store on 2021/04/09?\", \"Andrew, Emily, Kayden\"]], \"multihop_qa_pairs\": []}}, \"2021/04/19\": {\"grocery\": {\"eid\": \"e7090\", \"logical_representation\": [\"2021/04/19\", \"I went grocery shopping. I bought some pineapples, oranges, strawberries, guava juice, and toothpaste, paper towel, shampoo\", \"pineapples, oranges, strawberries\", \"guava juice\", \"toothpaste, paper towel, shampoo\", \"Nevaeh, Kinsley, Avery, Olivia\"], \"text_template_based\": \"I went grocery shopping. I bought some pineapples, oranges, strawberries, guava juice, and toothpaste, paper towel, shampoo\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/04/19?\", \"pineapples, oranges, strawberries, guava juice, and toothpaste, paper towel, shampoo\"], [\"what fruits did I buy from the grocery store on 2021/04/19?\", \"pineapples, oranges, strawberries\"], [\"what drinks did I buy from the grocery store on 2021/04/19?\", \"guava juice\"], [\"what toiletries did I buy from the grocery store on 2021/04/19?\", \"toothpaste, paper towel, shampoo\"]], \"multihop_qa_pairs\": []}}, \"2021/05/06\": {\"grocery\": {\"eid\": \"e7091\", \"logical_representation\": [\"2021/05/06\", \"I bought some bananas, blueberries, coffee, mouth wash from the grocery store. I saw Carter, Kayden, Andrew at the grocery store.\", \"bananas, blueberries\", \"coffee\", \"mouth wash\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I bought some bananas, blueberries, coffee, mouth wash from the grocery store. I saw Carter, Kayden, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/05/06?\", \"bananas, blueberries, coffee, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2021/05/06?\", \"bananas, blueberries\"], [\"what drinks did I buy from the grocery store on 2021/05/06?\", \"coffee\"], [\"what toiletries did I buy from the grocery store on 2021/05/06?\", \"mouth wash\"], [\"who did I see at the grocery store on 2021/05/06?\", \"Carter, Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7344\", \"logical_representation\": [\"2021/05/06\", \"lunch\", \"sandwich\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/05/06?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2021/05/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2021/05/10\": {\"grocery\": {\"eid\": \"e7092\", \"logical_representation\": [\"2021/05/10\", \"I bought some mandarins, blueberries, peaches, blackberries, sports drinks, chocolate milk, orange juice, toothbrush, paper towel, shaving cream online.\", \"mandarins, blueberries, peaches, blackberries\", \"sports drinks, chocolate milk, orange juice\", \"toothbrush, paper towel, shaving cream\", \"Nevaeh\"], \"text_template_based\": \"I bought some mandarins, blueberries, peaches, blackberries, sports drinks, chocolate milk, orange juice, toothbrush, paper towel, shaving cream online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/05/10?\", \"mandarins, blueberries, peaches, blackberries, sports drinks, chocolate milk, orange juice, and toothbrush, paper towel, shaving cream\"], [\"what fruits did I buy online on 2021/05/10?\", \"mandarins, blueberries, peaches, blackberries\"], [\"what drinks did I buy online on 2021/05/10?\", \"sports drinks, chocolate milk, orange juice\"], [\"what toiletries did I buy online on 2021/05/10?\", \"toothbrush, paper towel, shaving cream\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7349\", \"logical_representation\": [\"2021/05/10\", \"lunch\", \"tacos\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. 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I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/05/15\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7360\", \"logical_representation\": [\"2021/05/15\", \"lunch\", \"steak\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/05/15\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2021/05/17\": {\"dating\": {\"eid\": \"e7094\", \"logical_representation\": [\"2021/05/17\", \"Everly\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Everly on 2021/05/17 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/05/17\", \"Everly\"], [\"where did I go for the date on 2021/05/17\", \"a restaurant\"]], \"multihop_qa_pairs\": []}}, \"2021/06/03\": {\"dating\": {\"eid\": \"e7095\", \"logical_representation\": [\"2021/06/03\", \"Naomi\", \"a park\"], \"text_template_based\": \"On 2021/06/03, I took Naomi on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/06/03\", \"Naomi\"], [\"where did I go for the date on 2021/06/03\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7382\", \"logical_representation\": [\"2021/06/03\", \"running\"], \"text_template_based\": \"I did running on 2021/06/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/06/03?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2021/06/17\": {\"dating\": {\"eid\": \"e7096\", \"logical_representation\": [\"2021/06/17\", \"Isaac\", \"a restaurant\"], \"text_template_based\": \"On 2021/06/17, I took Isaac on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/06/17\", \"Isaac\"], [\"where did I go for the date on 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\"read\": {\"eid\": \"e7401\", \"logical_representation\": [\"2021/06/17\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/06/17?\", \"54 minutes\"], [\"what did I read on 2021/06/17?\", \"news\"], [\"Did I read on 2021/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/21\": {\"dating\": {\"eid\": \"e7097\", \"logical_representation\": [\"2021/06/21\", \"Sophia\", \"a boba shop\"], \"text_template_based\": \"On 2021/06/21, I took Sophia on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/06/21\", \"Sophia\"], [\"where did I go for the date on 2021/06/21\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7404\", \"logical_representation\": [\"2021/06/21\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/06/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/06/21?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7405\", \"logical_representation\": [\"2021/06/21\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I watched a tv series for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/21?\", \"23 minutes\"], [\"what did I watch on tv on 2021/06/21?\", \"a tv series\"], [\"Did I watch tv on 2021/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/25\": {\"dating\": {\"eid\": \"e7098\", \"logical_representation\": [\"2021/06/25\", \"Leah\", \"a park\"], \"text_template_based\": \"I went on a date with Leah on 2021/06/25 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/06/25\", \"Leah\"], [\"where did I go for the date on 2021/06/25\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7409\", \"logical_representation\": [\"2021/06/25\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/06/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/06/25?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7410\", \"logical_representation\": [\"2021/06/25\", \"breakfast\", \"cereals\", \"Willow, Avery\"], \"text_template_based\": \"I had cereals for breakfast with Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/06/25?\", \"Willow, Avery\"], [\"what did I eat for breakfast on 2021/06/25\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7411\", \"logical_representation\": [\"2021/06/25\", \"lunch\", \"tacos\", \"Avery, Nevaeh, Olivia, Piper, Eva\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/06/25\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7412\", \"logical_representation\": [\"2021/06/25\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/06/25?\", \"51 minutes\"], [\"what did I read on 2021/06/25?\", \"a book\"], [\"Did I read on 2021/06/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/30\": {\"hobbies\": {\"eid\": \"e7099\", \"logical_representation\": [\"2021/06/30\", \"I spent some time learning a language on 2021/06/30.\", \"learning a language\", \"Eva, Kinsley, Hazel\"], \"text_template_based\": \"I spent some time learning a language on 2021/06/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2021/06/30\"], [\"On 2021/06/30, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7417\", \"logical_representation\": [\"2021/06/30\", \"running\"], \"text_template_based\": \"I did running on 2021/06/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/06/30?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7418\", \"logical_representation\": [\"2021/06/30\", \"Kinsley\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2021/06/30?\", \"15 minutes\"], [\"who did I talk to on 2021/06/30?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2021/06/30?\", \"yes\"], [\"Did I talk to anyone on 2021/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7419\", \"logical_representation\": [\"2021/06/30\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/06/30?\", \"38 minutes\"], [\"what did I read on 2021/06/30?\", \"a book\"], [\"Did I read on 2021/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/01\": {\"grocery\": {\"eid\": \"e7100\", \"logical_representation\": [\"2021/07/01\", \"I bought some clementines, guava, raspberries, nectarines, orange juice, coffee, soda, conditioner, shampoo, shaving cream from the grocery store. I saw Jackson at the grocery store.\", \"clementines, guava, raspberries, nectarines\", \"orange juice, coffee, soda\", \"conditioner, shampoo, shaving cream\", \"Jackson\"], \"text_template_based\": \"I bought some clementines, guava, raspberries, nectarines, orange juice, coffee, soda, conditioner, shampoo, shaving cream from the grocery store. I saw Jackson at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/07/01?\", \"clementines, guava, raspberries, nectarines, orange juice, coffee, soda, and conditioner, shampoo, shaving cream\"], [\"what fruits did I buy from the grocery store on 2021/07/01?\", \"clementines, guava, raspberries, nectarines\"], [\"what drinks did I buy from the grocery store on 2021/07/01?\", \"orange juice, coffee, soda\"], [\"what toiletries did I buy from the grocery store on 2021/07/01?\", \"conditioner, shampoo, shaving cream\"], [\"who did I see at the grocery store on 2021/07/01?\", \"Jackson\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7420\", \"logical_representation\": [\"2021/07/01\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I 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\"mouth wash, toothpaste\", \"Emily\"], \"text_template_based\": \"I bought some raspberries, blueberries, mineral water, apple juice, tea, chocolate milk, mouth wash, toothpaste online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/07/12?\", \"raspberries, blueberries, mineral water, apple juice, tea, chocolate milk, and mouth wash, toothpaste\"], [\"what fruits did I buy online on 2021/07/12?\", \"raspberries, blueberries\"], [\"what drinks did I buy online on 2021/07/12?\", \"mineral water, apple juice, tea, chocolate milk\"], [\"what toiletries did I buy online on 2021/07/12?\", \"mouth wash, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7442\", \"logical_representation\": [\"2021/07/12\", \"running\"], \"text_template_based\": \"I did running on 2021/07/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/12?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7443\", \"logical_representation\": [\"2021/07/12\", \"Eva, Hazel, Rylee, Nevaeh\", \"in the morning\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Eva, Hazel, Rylee, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Hazel, Rylee, Nevaeh in the morning on 2021/07/12?\", \"24 minutes\"], [\"who did I talk to on 2021/07/12?\", \"Eva, Hazel, Rylee, Nevaeh\"], [\"Did I talk to Eva, Hazel, Rylee, Nevaeh on 2021/07/12?\", \"yes\"], [\"Did I talk to anyone on 2021/07/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/18\": {\"dating\": {\"eid\": \"e7102\", \"logical_representation\": [\"2021/07/18\", \"Lily\", \"a boba shop\"], \"text_template_based\": \"On 2021/07/18, I took Lily on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/07/18\", \"Lily\"], [\"where did I go for the date on 2021/07/18\", \"a boba shop\"]], 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I bought some blackberries, peaches, mandarins, mango juice, pineapple juice, and mouth wash, toothpaste\", \"blackberries, peaches, mandarins\", \"mango juice, pineapple juice\", \"mouth wash, toothpaste\", \"Willow\"], \"text_template_based\": \"I went grocery shopping. 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I saw Emily, Carter, Andrew at the grocery store.\", \"raspberries, pineapples\", \"mineral water, milk\", \"toothpaste\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I bought some raspberries, pineapples, mineral water, milk, toothpaste from the grocery store. I saw Emily, Carter, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/08/07?\", \"raspberries, pineapples, mineral water, milk, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2021/08/07?\", \"raspberries, pineapples\"], [\"what drinks did I buy from the grocery store on 2021/08/07?\", \"mineral water, milk\"], [\"what toiletries did I buy from the grocery store on 2021/08/07?\", \"toothpaste\"], [\"who did I see at the grocery store on 2021/08/07?\", \"Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7482\", \"logical_representation\": [\"2021/08/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/08/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7483\", \"logical_representation\": [\"2021/08/07\", \"breakfast\", \"oatmeal\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/08/07\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7484\", \"logical_representation\": [\"2021/08/07\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I had steak for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/08/07?\", \"Emily\"], [\"what did I eat for dinner on 2021/08/07\", \"steak\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7485\", \"logical_representation\": [\"2021/08/07\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/08/07?\", \"36 minutes\"], [\"what did I read on 2021/08/07?\", \"news\"], [\"Did I read on 2021/08/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/24\": {\"hobbies\": {\"eid\": \"e7107\", \"logical_representation\": [\"2021/08/24\", \"I spent time yoga on 2021/08/24 with Carter, Andrew, Kayden.\", \"yoga\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I spent time yoga on 2021/08/24 with Carter, Andrew, Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Carter, Andrew, Kayden?\", \"2021/08/24\"], [\"On 2021/08/24, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2021/08/24?\", \"Carter, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}}, \"2021/08/31\": {\"dating\": {\"eid\": \"e7108\", \"logical_representation\": [\"2021/08/31\", \"Roman\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Roman on 2021/08/31 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/08/31\", \"Roman\"], [\"where did I go for the date on 2021/08/31\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7517\", \"logical_representation\": [\"2021/08/31\", \"lunch\", \"tacos\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/08/31\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/09/02\": {\"grocery\": {\"eid\": \"e7109\", \"logical_representation\": [\"2021/09/02\", \"I bought some mandarins, tea, coffee, orange juice, guava juice, mouthwash, toothpaste, conditioner online.\", \"mandarins\", \"tea, coffee, orange juice, guava juice\", \"mouthwash, toothpaste, conditioner\", \"Piper, Nevaeh\"], \"text_template_based\": \"I bought some mandarins, tea, coffee, orange juice, guava juice, mouthwash, toothpaste, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/09/02?\", \"mandarins, tea, coffee, orange juice, guava juice, and mouthwash, toothpaste, conditioner\"], [\"what fruits did I buy online on 2021/09/02?\", \"mandarins\"], [\"what drinks did I buy online on 2021/09/02?\", \"tea, coffee, orange juice, guava juice\"], [\"what toiletries did I buy online on 2021/09/02?\", \"mouthwash, toothpaste, conditioner\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7520\", \"logical_representation\": [\"2021/09/02\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/02?\", \"19 minutes\"], [\"what did I watch on tv on 2021/09/02?\", \"a movie\"], [\"Did I watch tv on 2021/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/04\": {\"hobbies\": {\"eid\": \"e7110\", \"logical_representation\": [\"2021/09/04\", \"I spent some time meditation on 2021/09/04.\", \"meditation\", \"Andrew, Emily\"], \"text_template_based\": \"I spent some time meditation on 2021/09/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2021/09/04\"], [\"On 2021/09/04, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7523\", \"logical_representation\": [\"2021/09/04\", \"biking\"], \"text_template_based\": \"I did biking on 2021/09/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/04?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7524\", \"logical_representation\": [\"2021/09/04\", \"lunch\", \"sandwich\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had sandwich for lunch with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/09/04?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2021/09/04\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7525\", \"logical_representation\": [\"2021/09/04\", \"Kinsley, Hazel, Piper\", \"in the late afternoon\", \"35 minutes\"], \"text_template_based\": \"I spent 35 talking to Kinsley, Hazel, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Hazel, Piper in the late afternoon on 2021/09/04?\", \"35 minutes\"], [\"who did I talk to on 2021/09/04?\", \"Kinsley, Hazel, Piper\"], [\"Did I talk to Kinsley, Hazel, Piper on 2021/09/04?\", \"yes\"], [\"Did I talk to anyone on 2021/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/06\": {\"grocery\": {\"eid\": \"e7111\", \"logical_representation\": [\"2021/09/06\", \"I went grocery shopping. I bought some raspberries, pineapple juice, tea, and mouth wash, shaving cream, shampoo, toothpaste\", \"raspberries\", \"pineapple juice, tea\", \"mouth wash, shaving cream, shampoo, toothpaste\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, pineapple juice, tea, and mouth wash, shaving cream, shampoo, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/09/06?\", \"raspberries, pineapple juice, tea, and mouth wash, shaving cream, shampoo, toothpaste\"], [\"what fruits did I buy from the grocery store on 2021/09/06?\", \"raspberries\"], [\"what drinks did I buy from the grocery store on 2021/09/06?\", \"pineapple juice, tea\"], [\"what toiletries did I buy from the grocery store on 2021/09/06?\", \"mouth wash, shaving cream, shampoo, toothpaste\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7526\", \"logical_representation\": [\"2021/09/06\", \"biking\"], \"text_template_based\": \"I did biking on 2021/09/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/06?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7527\", \"logical_representation\": [\"2021/09/06\", \"Nora\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2021/09/06?\", \"39 minutes\"], [\"who did I talk to on 2021/09/06?\", \"Nora\"], [\"Did I talk to Nora on 2021/09/06?\", \"yes\"], [\"Did I talk to anyone on 2021/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7528\", \"logical_representation\": [\"2021/09/06\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I watched a tv series for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/06?\", \"43 minutes\"], [\"what did I watch on tv on 2021/09/06?\", \"a tv series\"], [\"Did I watch tv on 2021/09/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/12\": {\"dating\": {\"eid\": \"e7112\", \"logical_representation\": [\"2021/09/12\", \"Victoria\", \"a park\"], \"text_template_based\": \"On 2021/09/12, I took Victoria on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/09/12\", \"Victoria\"], [\"where did I go for the date on 2021/09/12\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7536\", \"logical_representation\": [\"2021/09/12\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/09/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/12?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7537\", \"logical_representation\": [\"2021/09/12\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Emily\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/09/12\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7538\", \"logical_representation\": [\"2021/09/12\", \"dinner\", \"chinese food\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/09/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7539\", \"logical_representation\": [\"2021/09/12\", \"Nevaeh, Rylee\", \"late in the evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Nevaeh, Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee late in the evening on 2021/09/12?\", \"44 minutes\"], [\"who did I talk to on 2021/09/12?\", \"Nevaeh, Rylee\"], [\"Did I talk to Nevaeh, Rylee on 2021/09/12?\", \"yes\"], [\"Did I talk to anyone on 2021/09/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/17\": {\"dating\": {\"eid\": \"e7113\", \"logical_representation\": [\"2021/09/17\", \"Dominic\", \"a boba shop\"], \"text_template_based\": \"On 2021/09/17, I took Dominic on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/09/17\", \"Dominic\"], [\"where did I go for the date on 2021/09/17\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7547\", \"logical_representation\": [\"2021/09/17\", \"social media\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/09/17?\", \"26 minutes\"], [\"what did I read on 2021/09/17?\", \"social media\"], [\"Did I read on 2021/09/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/21\": {\"dating\": {\"eid\": \"e7114\", \"logical_representation\": [\"2021/09/21\", \"Skylar\", \"a park\"], \"text_template_based\": \"I went on a date with Skylar on 2021/09/21 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/09/21\", \"Skylar\"], [\"where did I go for the date on 2021/09/21\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7553\", \"logical_representation\": [\"2021/09/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Emily, Kayden\"], \"text_template_based\": \"I had breakfast with Carter, Emily, Kayden. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/09/21?\", \"Carter, Emily, Kayden\"], [\"what did I eat for breakfast on 2021/09/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7554\", \"logical_representation\": [\"2021/09/21\", \"lunch\", \"a burger\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I had a burger for lunch with Willow, Benjamin, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/09/21?\", \"Willow, Benjamin, Jackson\"], [\"what did I eat for lunch on 2021/09/21\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2021/09/19\": {\"grocery\": {\"eid\": \"e7115\", \"logical_representation\": [\"2021/09/19\", \"I bought some pears, blackberries, mangos, sports drinks, mouthwash, shampoo from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\", \"pears, blackberries, mangos\", \"sports drinks\", \"mouthwash, shampoo\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I bought some pears, blackberries, mangos, sports drinks, mouthwash, shampoo from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/09/19?\", \"pears, blackberries, mangos, sports drinks, and mouthwash, shampoo\"], [\"what fruits did I buy from the grocery store on 2021/09/19?\", \"pears, blackberries, mangos\"], [\"what drinks did I buy from the grocery store on 2021/09/19?\", \"sports drinks\"], [\"what toiletries did I buy from the grocery store on 2021/09/19?\", \"mouthwash, shampoo\"], [\"who did I see at the grocery store on 2021/09/19?\", \"Kayden, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7550\", \"logical_representation\": [\"2021/09/19\", \"lunch\", \"sushi\", \"Carter\"], \"text_template_based\": \"I had lunch. 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I saw Rylee, Piper, Lydia, Nora, Claire at the grocery store.\", \"blackberries, bananas, strawberries\", \"orange juice, coffee, soda, sports drinks\", \"shaving cream, facial wash, toilet paper, toothpaste\", \"Rylee, Piper, Lydia, Nora, Claire\"], \"text_template_based\": \"I bought some blackberries, bananas, strawberries, orange juice, coffee, soda, sports drinks, shaving cream, facial wash, toilet paper, toothpaste from the grocery store. 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I bought some mandarins, blackberries, pineapple juice, apple juice, chocolate milk, soda, and shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/10/25?\", \"mandarins, blackberries, pineapple juice, apple juice, chocolate milk, soda, and shaving cream\"], [\"what fruits did I buy from the grocery store on 2021/10/25?\", \"mandarins, blackberries\"], [\"what drinks did I buy from the grocery store on 2021/10/25?\", \"pineapple juice, apple juice, chocolate milk, soda\"], [\"what toiletries did I buy from the grocery store on 2021/10/25?\", \"shaving cream\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7607\", \"logical_representation\": [\"2021/10/25\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/10/25?\", \"20 minutes\"], [\"what did I read on 2021/10/25?\", \"a book\"], [\"Did I read on 2021/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/04\": {\"dating\": {\"eid\": \"e7124\", \"logical_representation\": [\"2021/11/04\", \"Wang-Chiew\", \"a park\"], \"text_template_based\": \"On 2021/11/04, I took Wang-Chiew on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/11/04\", \"Wang-Chiew\"], [\"where did I go for the date on 2021/11/04\", \"a park\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7625\", \"logical_representation\": [\"2021/11/04\", \"breakfast\", \"oatmeal\", \"Andrew, Emily\"], \"text_template_based\": \"I had oatmeal for breakfast with Andrew, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/11/04?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2021/11/04\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7626\", \"logical_representation\": [\"2021/11/04\", \"Claire\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Claire on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the early evening on 2021/11/04?\", \"47 minutes\"], [\"who did I talk to on 2021/11/04?\", \"Claire\"], [\"Did I talk to Claire on 2021/11/04?\", \"yes\"], [\"Did I talk to anyone on 2021/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7627\", \"logical_representation\": [\"2021/11/04\", \"a tv series\", \"18 minutes\"], \"text_template_based\": \"I watched a tv series for 18 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/04?\", \"18 minutes\"], [\"what did I watch on tv on 2021/11/04?\", \"a tv series\"], [\"Did I watch tv on 2021/11/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/30\": {\"grocery\": {\"eid\": \"e7125\", \"logical_representation\": [\"2021/10/30\", \"I bought some clementines, peaches, nectarines, mango juice, chocolate milk, shampoo, toothpaste, mouth wash, conditioner from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\", \"clementines, peaches, nectarines\", \"mango juice, chocolate milk\", \"shampoo, toothpaste, mouth wash, conditioner\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I bought some clementines, peaches, nectarines, mango juice, chocolate milk, shampoo, toothpaste, mouth wash, conditioner from the grocery store. I saw Kayden, Carter, Emily at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/10/30?\", \"clementines, peaches, nectarines, mango juice, chocolate milk, and shampoo, toothpaste, mouth wash, conditioner\"], [\"what fruits did I buy from the grocery store on 2021/10/30?\", \"clementines, peaches, nectarines\"], [\"what drinks did I buy from the grocery store on 2021/10/30?\", \"mango juice, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2021/10/30?\", \"shampoo, toothpaste, mouth wash, conditioner\"], [\"who did I see at the grocery store on 2021/10/30?\", \"Kayden, Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7616\", \"logical_representation\": [\"2021/10/30\", \"dinner\", \"indian food\", \"Avery, Willow, Benjamin\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7617\", \"logical_representation\": [\"2021/10/30\", \"Nevaeh, Rylee, Piper, Layla\", \"in the late afternoon\", \"33 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Rylee, Piper, Layla for 33 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Rylee, Piper, Layla in the late afternoon on 2021/10/30?\", \"33 minutes\"], [\"who did I talk to on 2021/10/30?\", \"Nevaeh, Rylee, Piper, Layla\"], [\"Did I talk to Nevaeh, Rylee, Piper, Layla on 2021/10/30?\", \"yes\"], [\"Did I talk to anyone on 2021/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7618\", \"logical_representation\": [\"2021/10/30\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/10/30?\", \"19 minutes\"], [\"what did I read on 2021/10/30?\", \"a book\"], [\"Did I read on 2021/10/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/02\": {\"grocery\": {\"eid\": \"e7126\", \"logical_representation\": [\"2021/11/02\", \"I bought some pineapples, bananas, milk, mango juice, orange juice, apple juice, facial wash online.\", \"pineapples, bananas\", \"milk, mango juice, orange juice, apple juice\", \"facial wash\", \"Eva, Hazel, Layla, Lydia, Nora, Avery, Nevaeh, Olivia\"], \"text_template_based\": \"I bought some pineapples, bananas, milk, mango juice, orange juice, apple juice, facial wash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/11/02?\", \"pineapples, bananas, milk, mango juice, orange juice, apple juice, and facial wash\"], [\"what fruits did I buy online on 2021/11/02?\", \"pineapples, bananas\"], [\"what drinks did I buy online on 2021/11/02?\", \"milk, mango juice, orange juice, apple juice\"], [\"what toiletries did I buy online on 2021/11/02?\", \"facial wash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7622\", \"logical_representation\": [\"2021/11/02\", \"Olivia, Claire, Nora, Layla\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Olivia, Claire, Nora, Layla for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Claire, Nora, Layla in the morning on 2021/11/02?\", \"30 minutes\"], [\"who did I talk to on 2021/11/02?\", \"Olivia, Claire, Nora, Layla\"], [\"Did I talk to Olivia, Claire, Nora, Layla on 2021/11/02?\", \"yes\"], [\"Did I talk to anyone on 2021/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7623\", \"logical_representation\": [\"2021/11/02\", \"a tv series\", \"15 minutes\"], \"text_template_based\": \"I watched a tv series for 15 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/02?\", \"15 minutes\"], [\"what did I watch on tv on 2021/11/02?\", \"a tv series\"], [\"Did I watch tv on 2021/11/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/09\": {\"grocery\": {\"eid\": \"e7127\", \"logical_representation\": [\"2021/11/09\", \"I went grocery shopping. I bought some mandarins, raspberries, mangos, clementines, sports drinks, milk, soda, and conditioner, mouth wash, toothbrush, toothpaste\", \"mandarins, raspberries, mangos, clementines\", \"sports drinks, milk, soda\", \"conditioner, mouth wash, toothbrush, toothpaste\", \"Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some mandarins, raspberries, mangos, clementines, sports drinks, milk, soda, and conditioner, mouth wash, toothbrush, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/11/09?\", \"mandarins, raspberries, mangos, clementines, sports drinks, milk, soda, and conditioner, mouth wash, toothbrush, toothpaste\"], [\"what fruits did I buy from the grocery store on 2021/11/09?\", \"mandarins, raspberries, mangos, clementines\"], [\"what drinks did I buy from the grocery store on 2021/11/09?\", \"sports drinks, milk, soda\"], [\"what toiletries did I buy from the grocery store on 2021/11/09?\", \"conditioner, mouth wash, toothbrush, toothpaste\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7637\", \"logical_representation\": [\"2021/11/09\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I had breakfast. 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I bought some raspberries, apples, watermelons, peaches, apple juice, chocolate milk, tea, orange juice, and toothbrush, shampoo, mouthwash, conditioner\", \"raspberries, apples, watermelons, peaches\", \"apple juice, chocolate milk, tea, orange juice\", \"toothbrush, shampoo, mouthwash, conditioner\", \"Carter, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some raspberries, apples, watermelons, peaches, apple juice, chocolate milk, tea, orange juice, and toothbrush, shampoo, mouthwash, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/11/13?\", \"raspberries, apples, watermelons, peaches, apple juice, chocolate milk, tea, orange juice, and toothbrush, shampoo, mouthwash, conditioner\"], [\"what fruits did I buy from the grocery store on 2021/11/13?\", \"raspberries, apples, watermelons, peaches\"], [\"what drinks did I buy from the grocery store on 2021/11/13?\", \"apple juice, chocolate milk, tea, orange juice\"], [\"what toiletries did I buy from the grocery store on 2021/11/13?\", \"toothbrush, shampoo, mouthwash, conditioner\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7643\", \"logical_representation\": [\"2021/11/13\", \"dinner\", \"chinese food\", \"Hazel, Kinsley, Lydia, Avery, Piper, Nora, Eva, Nevaeh, Rylee, Layla, Piper, Olivia\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/11/13\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2021/11/25\": {\"dating\": {\"eid\": \"e7131\", \"logical_representation\": [\"2021/11/25\", \"Kinsley\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Kinsley on 2021/11/25 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/11/25\", \"Kinsley\"], [\"where did I go for the date on 2021/11/25\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7659\", \"logical_representation\": [\"2021/11/25\", \"Piper\", \"in the late afternoon\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the late afternoon on 2021/11/25?\", \"55 minutes\"], [\"who did I talk to on 2021/11/25?\", \"Piper\"], [\"Did I talk to Piper on 2021/11/25?\", \"yes\"], [\"Did I talk to anyone on 2021/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/23\": {\"grocery\": {\"eid\": \"e7132\", \"logical_representation\": [\"2021/11/23\", \"I bought some apples, peaches, bananas, mangos, apple juice, orange juice, sports drinks, toothpaste, body lotion, mouth wash, shampoo online.\", \"apples, peaches, bananas, mangos\", \"apple juice, orange juice, sports drinks\", \"toothpaste, body lotion, mouth wash, shampoo\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I bought some apples, peaches, bananas, mangos, apple juice, orange juice, sports drinks, toothpaste, body lotion, mouth wash, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2021/11/23?\", \"apples, peaches, bananas, mangos, apple juice, orange juice, sports drinks, and toothpaste, body lotion, mouth wash, shampoo\"], [\"what fruits did I buy online on 2021/11/23?\", \"apples, peaches, bananas, mangos\"], [\"what drinks did I buy online on 2021/11/23?\", \"apple juice, orange juice, sports drinks\"], [\"what toiletries did I buy online on 2021/11/23?\", \"toothpaste, body lotion, mouth wash, shampoo\"]], \"multihop_qa_pairs\": []}}, \"2021/12/06\": {\"grocery\": {\"eid\": \"e7133\", \"logical_representation\": [\"2021/12/06\", \"I went grocery shopping. I bought some apples, chocolate milk, guava juice, pineapple juice, and facial wash, mouthwash, conditioner\", \"apples\", \"chocolate milk, guava juice, pineapple juice\", \"facial wash, mouthwash, conditioner\", \"Avery, Layla, Piper, Rylee, Eva, Lydia, Olivia, Piper, Claire, Kinsley, Nevaeh, Hazel\"], \"text_template_based\": \"I went grocery shopping. I bought some apples, chocolate milk, guava juice, pineapple juice, and facial wash, mouthwash, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/12/06?\", \"apples, chocolate milk, guava juice, pineapple juice, and facial wash, mouthwash, conditioner\"], [\"what fruits did I buy from the grocery store on 2021/12/06?\", \"apples\"], [\"what drinks did I buy from the grocery store on 2021/12/06?\", \"chocolate milk, guava juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2021/12/06?\", \"facial wash, mouthwash, conditioner\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7676\", \"logical_representation\": [\"2021/12/06\", \"lunch\", \"tacos\", \"Avery, Benjamin, Jackson\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/12/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7677\", \"logical_representation\": [\"2021/12/06\", \"a movie\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/06?\", \"33 minutes\"], [\"what did I watch on tv on 2021/12/06?\", \"a movie\"], [\"Did I watch tv on 2021/12/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/12\": {\"bake\": {\"eid\": \"e7134\", \"logical_representation\": [\"2021/12/12\", \"I entertained Avery, Olivia, Kinsley at my place on 2021/12/12 and bake carrot cake, chocolate skillet cake, cranberry apple danish\", \"bake\", \"carrot cake, chocolate skillet cake, cranberry apple danish\", \"Avery, Olivia, Kinsley\", \"my place\"], \"text_template_based\": \"I entertained Avery, Olivia, Kinsley at my place on 2021/12/12 and bake carrot cake, chocolate skillet cake, cranberry apple danish\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake carrot cake, chocolate skillet cake, cranberry apple danish with Avery, Olivia, Kinsley?\", \"2021/12/12\"], [\"what did I bake on 2021/12/12?\", \"carrot cake, chocolate skillet cake, cranberry apple danish\"], [\"who was I with when I  carrot cake, chocolate skillet cake, cranberry apple danish on 2021/12/12?\", \"Avery, Olivia, Kinsley\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7682\", \"logical_representation\": [\"2021/12/12\", \"dinner\", \"chinese food\", \"Emily, Kayden, Carter, Andrew\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/12/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7683\", \"logical_representation\": [\"2021/12/12\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/12/12?\", \"39 minutes\"], [\"what did I read on 2021/12/12?\", \"news\"], [\"Did I read on 2021/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/13\": {\"dating\": {\"eid\": \"e7135\", \"logical_representation\": [\"2021/12/13\", \"Natalie\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Natalie on 2021/12/13 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2021/12/13\", \"Natalie\"], [\"where did I go for the date on 2021/12/13\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7684\", \"logical_representation\": [\"2021/12/13\", \"Rylee\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I talked to Rylee for 25 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2021/12/13?\", \"25 minutes\"], [\"who did I talk to on 2021/12/13?\", \"Rylee\"], [\"Did I talk to Rylee on 2021/12/13?\", \"yes\"], [\"Did I talk to anyone on 2021/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/14\": {\"hobbies\": {\"eid\": \"e7136\", \"logical_representation\": [\"2021/12/14\", \"I really enjoyed meditation on 2021/12/14\", \"meditation\", \"Claire, Hazel, Rylee\"], \"text_template_based\": \"I really enjoyed meditation on 2021/12/14\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do meditation?\", \"2021/12/14\"], [\"On 2021/12/14, which hobby did I spend time on?\", \"meditation\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7685\", \"logical_representation\": [\"2021/12/14\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/12/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/12/14?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7686\", \"logical_representation\": [\"2021/12/14\", \"news\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/12/14?\", \"11 minutes\"], [\"what did I read on 2021/12/14?\", \"news\"], [\"Did I read on 2021/12/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/15\": {\"grocery\": {\"eid\": \"e7137\", \"logical_representation\": [\"2021/12/15\", \"I went grocery shopping with Andrew. I bought some apricots, nectarines, mineral water, chocolate milk, apple juice, soda, and mouth wash, shampoo, toilet paper, body lotion\", \"apricots, nectarines\", \"mineral water, chocolate milk, apple juice, soda\", \"mouth wash, shampoo, toilet paper, body lotion\", \"Andrew\"], \"text_template_based\": \"I went grocery shopping with Andrew. I bought some apricots, nectarines, mineral water, chocolate milk, apple juice, soda, and mouth wash, shampoo, toilet paper, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/12/15?\", \"apricots, nectarines, mineral water, chocolate milk, apple juice, soda, and mouth wash, shampoo, toilet paper, body lotion\"], [\"what fruits did I buy from the grocery store on 2021/12/15?\", \"apricots, nectarines\"], [\"what drinks did I buy from the grocery store on 2021/12/15?\", \"mineral water, chocolate milk, apple juice, soda\"], [\"what toiletries did I buy from the grocery store on 2021/12/15?\", \"mouth wash, shampoo, toilet paper, body lotion\"], [\"who was with me at the grocery store on 2021/12/15?\", \"Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7687\", \"logical_representation\": [\"2021/12/15\", \"breakfast\", \"oatmeal\", \"Hazel, Rylee\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/12/15\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7688\", \"logical_representation\": [\"2021/12/15\", \"news\", \"21 minutes\"], \"text_template_based\": \"I watched news for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/15?\", \"21 minutes\"], [\"what did I watch on tv on 2021/12/15?\", \"news\"], [\"Did I watch tv on 2021/12/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/12/19\": {\"grocery\": {\"eid\": \"e7138\", \"logical_representation\": [\"2021/12/19\", \"I bought some watermelons, pineapples, blackberries, mandarins, mango juice, coffee, guava juice, conditioner, paper towel, toothbrush from the grocery store. I saw Carter, Emily, Kayden, Andrew at the grocery store.\", \"watermelons, pineapples, blackberries, mandarins\", \"mango juice, coffee, guava juice\", \"conditioner, paper towel, toothbrush\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I bought some watermelons, pineapples, blackberries, mandarins, mango juice, coffee, guava juice, conditioner, paper towel, toothbrush from the grocery store. I saw Carter, Emily, Kayden, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/12/19?\", \"watermelons, pineapples, blackberries, mandarins, mango juice, coffee, guava juice, and conditioner, paper towel, toothbrush\"], [\"what fruits did I buy from the grocery store on 2021/12/19?\", \"watermelons, pineapples, blackberries, mandarins\"], [\"what drinks did I buy from the grocery store on 2021/12/19?\", \"mango juice, coffee, guava juice\"], [\"what toiletries did I buy from the grocery store on 2021/12/19?\", \"conditioner, paper towel, toothbrush\"], [\"who did I see at the grocery store on 2021/12/19?\", \"Carter, Emily, Kayden, Andrew\"]], \"multihop_qa_pairs\": []}}, \"2021/12/24\": {\"grocery\": {\"eid\": \"e7139\", \"logical_representation\": [\"2021/12/24\", \"I went grocery shopping. I bought some mangos, apples, peaches, apple juice, pineapple juice, and toilet paper, body lotion, mouth wash\", \"mangos, apples, peaches\", \"apple juice, pineapple juice\", \"toilet paper, body lotion, mouth wash\", \"Willow, Benjamin, Jackson\"], \"text_template_based\": \"I went grocery shopping. I bought some mangos, apples, peaches, apple juice, pineapple juice, and toilet paper, body lotion, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/12/24?\", \"mangos, apples, peaches, apple juice, pineapple juice, and toilet paper, body lotion, mouth wash\"], [\"what fruits did I buy from the grocery store on 2021/12/24?\", \"mangos, apples, peaches\"], [\"what drinks did I buy from the grocery store on 2021/12/24?\", \"apple juice, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2021/12/24?\", \"toilet paper, body lotion, mouth wash\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7702\", \"logical_representation\": [\"2021/12/24\", \"dinner\", \"steak\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/12/24\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2021/12/27\": {\"grocery\": {\"eid\": \"e7140\", \"logical_representation\": [\"2021/12/27\", \"I went grocery shopping. I bought some pineapples, apple juice, coffee, and mouth wash\", \"pineapples\", \"apple juice, coffee\", \"mouth wash\", \"Lydia, Olivia, Eva, Kinsley, Nora, Piper, Hazel, Rylee, Piper, Nevaeh\"], \"text_template_based\": \"I went grocery shopping. I bought some pineapples, apple juice, coffee, and mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2021/12/27?\", \"pineapples, apple juice, coffee, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2021/12/27?\", \"pineapples\"], [\"what drinks did I buy from the grocery store on 2021/12/27?\", \"apple juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2021/12/27?\", \"mouth wash\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7704\", \"logical_representation\": [\"2021/12/27\", \"Hazel, Rylee, Claire\", \"late in the evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Hazel, Rylee, Claire for 14 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee, Claire late in the evening on 2021/12/27?\", \"14 minutes\"], [\"who did I talk to on 2021/12/27?\", \"Hazel, Rylee, Claire\"], [\"Did I talk to Hazel, Rylee, Claire on 2021/12/27?\", \"yes\"], [\"Did I talk to anyone on 2021/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7705\", \"logical_representation\": [\"2021/12/27\", \"a tv series\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/12/27?\", \"37 minutes\"], [\"what did I watch on tv on 2021/12/27?\", \"a tv series\"], [\"Did I watch tv on 2021/12/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/01\": {\"lunch\": {\"eid\": \"e7141\", \"logical_representation\": [\"2021/01/01\", \"lunch\", \"pasta\", \"Nevaeh, Kinsley, Avery, Eva, Rylee, Layla, Claire\"], \"text_template_based\": \"I had lunch with Nevaeh, Kinsley, Avery, Eva, Rylee, Layla, Claire. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/01/01?\", \"Nevaeh, Kinsley, Avery, Eva, Rylee, Layla, Claire\"], [\"what did I eat for lunch on 2021/01/01\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2021/01/02\": {\"chat0\": {\"eid\": \"e7142\", \"logical_representation\": [\"2021/01/02\", \"Kinsley, Claire, Nevaeh, Lydia\", \"in the early afternoon\", \"40 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire, Nevaeh, Lydia for 40 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Nevaeh, Lydia in the early afternoon on 2021/01/02?\", \"40 minutes\"], [\"who did I talk to on 2021/01/02?\", \"Kinsley, Claire, Nevaeh, Lydia\"], [\"Did I talk to Kinsley, Claire, Nevaeh, Lydia on 2021/01/02?\", \"yes\"], [\"Did I talk to anyone on 2021/01/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/03\": {\"exercise\": {\"eid\": \"e7143\", \"logical_representation\": [\"2021/01/03\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/01/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/01/03?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7144\", \"logical_representation\": [\"2021/01/03\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/01/03\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7145\", \"logical_representation\": [\"2021/01/03\", \"dinner\", \"a burger\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/01/03\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7146\", \"logical_representation\": [\"2021/01/03\", \"Piper, Kinsley, Hazel, Layla\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Piper, Kinsley, Hazel, Layla on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Hazel, Layla during lunch hours on 2021/01/03?\", \"29 minutes\"], [\"who did I talk to on 2021/01/03?\", \"Piper, Kinsley, Hazel, Layla\"], [\"Did I talk to Piper, Kinsley, Hazel, Layla on 2021/01/03?\", \"yes\"], [\"Did I talk to anyone on 2021/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7147\", \"logical_representation\": [\"2021/01/03\", \"a book\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/01/03?\", \"32 minutes\"], [\"what did I read on 2021/01/03?\", \"a book\"], [\"Did I read on 2021/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/07\": {\"exercise\": {\"eid\": \"e7148\", \"logical_representation\": [\"2021/01/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/01/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/01/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7149\", \"logical_representation\": [\"2021/01/07\", \"a movie\", \"34 minutes\"], \"text_template_based\": \"I watched a movie for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/01/07?\", \"34 minutes\"], [\"what did I watch on tv on 2021/01/07?\", \"a movie\"], [\"Did I watch tv on 2021/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/08\": {\"breakfast\": {\"eid\": \"e7150\", \"logical_representation\": [\"2021/01/08\", \"breakfast\", \"cereals\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/01/08\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7151\", \"logical_representation\": [\"2021/01/08\", \"dinner\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/01/08\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7152\", \"logical_representation\": [\"2021/01/08\", \"Claire, Hazel, Lydia, Avery\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I talked to Claire, Hazel, Lydia, Avery for 12 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Hazel, Lydia, Avery late in the evening on 2021/01/08?\", \"12 minutes\"], [\"who did I talk to on 2021/01/08?\", \"Claire, Hazel, Lydia, Avery\"], [\"Did I talk to Claire, Hazel, Lydia, Avery on 2021/01/08?\", \"yes\"], [\"Did I talk to anyone on 2021/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/11\": {\"breakfast\": {\"eid\": \"e7157\", \"logical_representation\": [\"2021/01/11\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/01/11\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7158\", \"logical_representation\": [\"2021/01/11\", \"Nora, Piper, Eva, Piper\", \"in the early evening\", \"36 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Eva, Piper for 36 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Eva, Piper in the early evening on 2021/01/11?\", \"36 minutes\"], [\"who did I talk to on 2021/01/11?\", \"Nora, Piper, Eva, Piper\"], [\"Did I talk to Nora, Piper, Eva, Piper on 2021/01/11?\", \"yes\"], [\"Did I talk to anyone on 2021/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/13\": {\"dinner\": {\"eid\": \"e7159\", \"logical_representation\": [\"2021/01/13\", \"dinner\", \"sushi\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Carter, Kayden, Andrew. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/01/13?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for dinner on 2021/01/13\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7160\", \"logical_representation\": [\"2021/01/13\", \"Lydia, Hazel, Claire, Nevaeh\", \"in the early afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Lydia, Hazel, Claire, Nevaeh on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Claire, Nevaeh in the early afternoon on 2021/01/13?\", \"49 minutes\"], [\"who did I talk to on 2021/01/13?\", \"Lydia, Hazel, Claire, Nevaeh\"], [\"Did I talk to Lydia, Hazel, Claire, Nevaeh on 2021/01/13?\", \"yes\"], [\"Did I talk to anyone on 2021/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/15\": {\"lunch\": {\"eid\": \"e7162\", \"logical_representation\": [\"2021/01/15\", \"lunch\", \"steak\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/01/15\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7163\", \"logical_representation\": [\"2021/01/15\", \"Rylee, Claire, Eva, Piper\", \"in the late afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Rylee, Claire, Eva, Piper for 52 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Claire, Eva, Piper in the late afternoon on 2021/01/15?\", \"52 minutes\"], [\"who did I talk to on 2021/01/15?\", \"Rylee, Claire, Eva, Piper\"], [\"Did I talk to Rylee, Claire, Eva, Piper on 2021/01/15?\", \"yes\"], [\"Did I talk to anyone on 2021/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7164\", \"logical_representation\": [\"2021/01/15\", \"social media\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/01/15?\", \"25 minutes\"], [\"what did I read on 2021/01/15?\", \"social media\"], [\"Did I read on 2021/01/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/16\": {\"breakfast\": {\"eid\": \"e7165\", \"logical_representation\": [\"2021/01/16\", \"breakfast\", \"toast and cheese\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/01/16\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7166\", \"logical_representation\": [\"2021/01/16\", \"social media\", \"21 minutes\"], \"text_template_based\": \"I spent 21 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/01/16?\", \"21 minutes\"], [\"what did I read on 2021/01/16?\", \"social media\"], [\"Did I read on 2021/01/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/17\": {\"exercise\": {\"eid\": \"e7167\", \"logical_representation\": [\"2021/01/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/01/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/01/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2021/01/19\": {\"breakfast\": {\"eid\": \"e7170\", \"logical_representation\": [\"2021/01/19\", \"breakfast\", \"pancakes\", \"Willow, Benjamin\"], \"text_template_based\": \"I had pancakes for breakfast with Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/01/19?\", \"Willow, Benjamin\"], [\"what did I eat for breakfast on 2021/01/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7171\", \"logical_representation\": [\"2021/01/19\", \"news\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/01/19?\", \"7 minutes\"], [\"what did I read on 2021/01/19?\", \"news\"], [\"Did I read on 2021/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/20\": {\"dinner\": {\"eid\": \"e7172\", \"logical_representation\": [\"2021/01/20\", \"dinner\", \"indian food\", \"Benjamin, Avery, Willow, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Avery, Willow, Jackson. 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I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/01/24\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/25\": {\"exercise\": {\"eid\": \"e7176\", \"logical_representation\": [\"2021/01/25\", \"running\"], \"text_template_based\": \"I did running on 2021/01/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/01/25?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7177\", \"logical_representation\": [\"2021/01/25\", \"Rylee\", \"in the late afternoon\", \"51 minutes\"], \"text_template_based\": \"I talked to Rylee for 51 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2021/01/25?\", \"51 minutes\"], [\"who did I talk to on 2021/01/25?\", \"Rylee\"], [\"Did I talk to Rylee on 2021/01/25?\", \"yes\"], [\"Did I talk to anyone on 2021/01/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/01/26\": {\"dinner\": {\"eid\": \"e7178\", \"logical_representation\": [\"2021/01/26\", \"dinner\", \"steak\", \"Kayden, Carter\"], \"text_template_based\": \"I had steak for dinner with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/01/26?\", \"Kayden, Carter\"], [\"what did I eat for dinner on 2021/01/26\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2021/01/27\": {\"lunch\": {\"eid\": \"e7179\", \"logical_representation\": [\"2021/01/27\", \"lunch\", \"steak\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had lunch with Carter, Kayden, Emily. 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I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/02/02?\", \"Jackson\"], [\"what did I eat for breakfast on 2021/02/02\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7193\", \"logical_representation\": [\"2021/02/02\", \"Eva, Lydia\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Eva, Lydia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Lydia late in the evening on 2021/02/02?\", \"26 minutes\"], [\"who did I talk to on 2021/02/02?\", \"Eva, Lydia\"], [\"Did I talk to Eva, Lydia on 2021/02/02?\", \"yes\"], [\"Did I talk to anyone on 2021/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/03\": {\"exercise\": {\"eid\": \"e7194\", \"logical_representation\": [\"2021/02/03\", \"running\"], \"text_template_based\": \"I did running on 2021/02/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/02/03?\", \"running\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7195\", \"logical_representation\": [\"2021/02/03\", \"news\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/02/03?\", \"35 minutes\"], [\"what did I read on 2021/02/03?\", \"news\"], [\"Did I read on 2021/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7196\", \"logical_representation\": [\"2021/02/03\", \"a documentary\", \"29 minutes\"], \"text_template_based\": \"I watched a documentary for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/02/03?\", \"29 minutes\"], [\"what did I watch on tv on 2021/02/03?\", \"a documentary\"], [\"Did I watch tv on 2021/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/04\": {\"exercise\": {\"eid\": \"e7197\", \"logical_representation\": [\"2021/02/04\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/02/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/02/04?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7198\", \"logical_representation\": [\"2021/02/04\", \"Nevaeh\", \"in the early evening\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Nevaeh on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh in the early evening on 2021/02/04?\", \"38 minutes\"], [\"who did I talk to on 2021/02/04?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2021/02/04?\", \"yes\"], [\"Did I talk to anyone on 2021/02/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/05\": {\"dinner\": {\"eid\": \"e7199\", \"logical_representation\": [\"2021/02/05\", \"dinner\", \"a burger\", \"Nevaeh, Avery\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/02/05\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2021/02/06\": {\"dinner\": {\"eid\": \"e7200\", \"logical_representation\": [\"2021/02/06\", \"dinner\", \"steak\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had steak for dinner with Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/02/06?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2021/02/06\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2021/02/16\": {\"exercise\": {\"eid\": \"e7215\", \"logical_representation\": [\"2021/02/16\", \"running\"], \"text_template_based\": \"I did running on 2021/02/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/02/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7216\", \"logical_representation\": [\"2021/02/16\", \"lunch\", \"pasta\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/02/16\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7217\", \"logical_representation\": [\"2021/02/16\", \"social media\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/02/16?\", \"14 minutes\"], [\"what did I read on 2021/02/16?\", \"social media\"], [\"Did I read on 2021/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/20\": {\"chat0\": {\"eid\": \"e7221\", \"logical_representation\": [\"2021/02/20\", \"Hazel, Nora, Claire, Eva\", \"in the early evening\", \"7 minutes\"], \"text_template_based\": \"I talked to Hazel, Nora, Claire, Eva for 7 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Nora, Claire, Eva in the early evening on 2021/02/20?\", \"7 minutes\"], [\"who did I talk to on 2021/02/20?\", \"Hazel, Nora, Claire, Eva\"], [\"Did I talk to Hazel, Nora, Claire, Eva on 2021/02/20?\", \"yes\"], [\"Did I talk to anyone on 2021/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/21\": {\"chat0\": {\"eid\": \"e7222\", \"logical_representation\": [\"2021/02/21\", \"Olivia\", \"during lunch hours\", \"42 minutes\"], \"text_template_based\": \"I talked to Olivia for 42 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia during lunch hours on 2021/02/21?\", \"42 minutes\"], [\"who did I talk to on 2021/02/21?\", \"Olivia\"], [\"Did I talk to Olivia on 2021/02/21?\", \"yes\"], [\"Did I talk to anyone on 2021/02/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/22\": {\"lunch\": {\"eid\": \"e7223\", \"logical_representation\": [\"2021/02/22\", \"lunch\", \"pasta\", \"Rylee, Nora\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/02/22\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2021/02/23\": {\"breakfast\": {\"eid\": \"e7224\", \"logical_representation\": [\"2021/02/23\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Benjamin\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/02/23\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2021/02/25\": {\"lunch\": {\"eid\": \"e7228\", \"logical_representation\": [\"2021/02/25\", \"lunch\", \"sushi\", \"Willow, Benjamin, Avery, Jackson\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/02/25\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7229\", \"logical_representation\": [\"2021/02/25\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/02/25?\", \"51 minutes\"], [\"what did I watch on tv on 2021/02/25?\", \"news\"], [\"Did I watch tv on 2021/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/26\": {\"dinner\": {\"eid\": \"e7230\", \"logical_representation\": [\"2021/02/26\", \"dinner\", \"chinese food\", \"Nora, Eva, Lydia, Olivia, Piper, Hazel\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/02/26\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2021/02/27\": {\"chat0\": {\"eid\": \"e7231\", \"logical_representation\": [\"2021/02/27\", \"Avery, Eva, Lydia\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I talked to Avery, Eva, Lydia for 52 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Eva, Lydia in the morning on 2021/02/27?\", \"52 minutes\"], [\"who did I talk to on 2021/02/27?\", \"Avery, Eva, Lydia\"], [\"Did I talk to Avery, Eva, Lydia on 2021/02/27?\", \"yes\"], [\"Did I talk to anyone on 2021/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7232\", \"logical_representation\": [\"2021/02/27\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/02/27?\", \"14 minutes\"], [\"what did I read on 2021/02/27?\", \"a book\"], [\"Did I read on 2021/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/02/28\": {\"exercise\": {\"eid\": \"e7233\", \"logical_representation\": [\"2021/02/28\", \"biking\"], \"text_template_based\": \"I did biking on 2021/02/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/02/28?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7234\", \"logical_representation\": [\"2021/02/28\", \"lunch\", \"tacos\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/02/28\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/03/03\": {\"watch tv\": {\"eid\": \"e7237\", \"logical_representation\": [\"2021/03/03\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I watched a documentary for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/03?\", \"53 minutes\"], [\"what did I watch on tv on 2021/03/03?\", \"a documentary\"], [\"Did I watch tv on 2021/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/04\": {\"lunch\": {\"eid\": \"e7238\", \"logical_representation\": [\"2021/03/04\", \"lunch\", \"tacos\", \"Nora, Rylee, Nevaeh, Layla, Eva\"], \"text_template_based\": \"I had lunch with Nora, Rylee, Nevaeh, Layla, Eva. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/03/04?\", \"Nora, Rylee, Nevaeh, Layla, Eva\"], [\"what did I eat for lunch on 2021/03/04\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/03/07\": {\"breakfast\": {\"eid\": \"e7242\", \"logical_representation\": [\"2021/03/07\", \"breakfast\", \"cereals\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/03/07\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7243\", \"logical_representation\": [\"2021/03/07\", \"Kinsley, Nevaeh\", \"late in the evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Kinsley, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Nevaeh late in the evening on 2021/03/07?\", \"44 minutes\"], [\"who did I talk to on 2021/03/07?\", \"Kinsley, Nevaeh\"], [\"Did I talk to Kinsley, Nevaeh on 2021/03/07?\", \"yes\"], [\"Did I talk to anyone on 2021/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/08\": {\"dinner\": {\"eid\": \"e7244\", \"logical_representation\": [\"2021/03/08\", \"dinner\", \"pasta\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7245\", \"logical_representation\": [\"2021/03/08\", \"a documentary\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/08?\", \"55 minutes\"], [\"what did I watch on tv on 2021/03/08?\", \"a documentary\"], [\"Did I watch tv on 2021/03/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/09\": {\"dinner\": {\"eid\": \"e7246\", \"logical_representation\": [\"2021/03/09\", \"dinner\", \"tacos\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had tacos for dinner with Avery, Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/03/09?\", \"Avery, Benjamin, Willow\"], [\"what did I eat for dinner on 2021/03/09\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7247\", \"logical_representation\": [\"2021/03/09\", \"a documentary\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/09?\", \"47 minutes\"], [\"what did I watch on tv on 2021/03/09?\", \"a documentary\"], [\"Did I watch tv on 2021/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/10\": {\"breakfast\": {\"eid\": \"e7248\", \"logical_representation\": [\"2021/03/10\", \"breakfast\", \"cereals\", \"Emily, Carter\"], \"text_template_based\": \"I had cereals for breakfast with Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/03/10?\", \"Emily, Carter\"], [\"what did I eat for breakfast on 2021/03/10\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7249\", \"logical_representation\": [\"2021/03/10\", \"dinner\", \"sandwich\", \"Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had dinner. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7250\", \"logical_representation\": [\"2021/03/10\", \"Avery, Piper\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Avery, Piper for 52 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the early afternoon on 2021/03/10?\", \"52 minutes\"], [\"who did I talk to on 2021/03/10?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2021/03/10?\", \"yes\"], [\"Did I talk to anyone on 2021/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7251\", \"logical_representation\": [\"2021/03/10\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/10?\", \"17 minutes\"], [\"what did I watch on tv on 2021/03/10?\", \"news\"], [\"Did I watch tv on 2021/03/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/11\": {\"breakfast\": {\"eid\": \"e7252\", \"logical_representation\": [\"2021/03/11\", \"breakfast\", \"oatmeal\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/03/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7253\", \"logical_representation\": [\"2021/03/11\", \"lunch\", \"chinese food\", \"Avery, Claire\"], \"text_template_based\": \"I had chinese food for lunch with Avery, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/03/11?\", \"Avery, Claire\"], [\"what did I eat for lunch on 2021/03/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2021/03/13\": {\"breakfast\": {\"eid\": \"e7254\", \"logical_representation\": [\"2021/03/13\", \"breakfast\", \"oatmeal\", \"Kayden, Emily\"], \"text_template_based\": \"I had oatmeal for breakfast with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/03/13?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2021/03/13\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7255\", \"logical_representation\": [\"2021/03/13\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/03/13?\", \"12 minutes\"], [\"what did I read on 2021/03/13?\", \"news\"], [\"Did I read on 2021/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7256\", \"logical_representation\": [\"2021/03/13\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I watched a documentary for 43 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/13?\", \"43 minutes\"], [\"what did I watch on tv on 2021/03/13?\", \"a documentary\"], [\"Did I watch tv on 2021/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/14\": {\"chat0\": {\"eid\": \"e7257\", \"logical_representation\": [\"2021/03/14\", \"Avery, Kinsley, Rylee\", \"late in the evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Avery, Kinsley, Rylee for 30 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Kinsley, Rylee late in the evening on 2021/03/14?\", \"30 minutes\"], [\"who did I talk to on 2021/03/14?\", \"Avery, Kinsley, Rylee\"], [\"Did I talk to Avery, Kinsley, Rylee on 2021/03/14?\", \"yes\"], [\"Did I talk to anyone on 2021/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/16\": {\"breakfast\": {\"eid\": \"e7260\", \"logical_representation\": [\"2021/03/16\", \"breakfast\", \"oatmeal\", \"Hazel, Eva, Layla, Lydia, Claire, Kinsley\"], \"text_template_based\": \"I had oatmeal for breakfast with Hazel, Eva, Layla, Lydia, Claire, Kinsley\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/03/16?\", \"Hazel, Eva, Layla, Lydia, Claire, Kinsley\"], [\"what did I eat for breakfast on 2021/03/16\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7261\", \"logical_representation\": [\"2021/03/16\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/03/16?\", \"6 minutes\"], [\"what did I read on 2021/03/16?\", \"social media\"], [\"Did I read on 2021/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/17\": {\"exercise\": {\"eid\": \"e7262\", \"logical_representation\": [\"2021/03/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/03/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7263\", \"logical_representation\": [\"2021/03/17\", \"lunch\", \"sandwich\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/17\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7264\", \"logical_representation\": [\"2021/03/17\", \"dinner\", \"indian food\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/17\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7265\", \"logical_representation\": [\"2021/03/17\", \"social media\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/03/17?\", \"53 minutes\"], [\"what did I read on 2021/03/17?\", \"social media\"], [\"Did I read on 2021/03/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/18\": {\"breakfast\": {\"eid\": \"e7266\", \"logical_representation\": [\"2021/03/18\", \"breakfast\", \"pancakes\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/03/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7267\", \"logical_representation\": [\"2021/03/18\", \"Layla\", \"in the early evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Layla for 42 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early evening on 2021/03/18?\", \"42 minutes\"], [\"who did I talk to on 2021/03/18?\", \"Layla\"], [\"Did I talk to Layla on 2021/03/18?\", \"yes\"], [\"Did I talk to anyone on 2021/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7268\", \"logical_representation\": [\"2021/03/18\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/03/18?\", \"28 minutes\"], [\"what did I read on 2021/03/18?\", \"social media\"], [\"Did I read on 2021/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/22\": {\"chat0\": {\"eid\": \"e7272\", \"logical_representation\": [\"2021/03/22\", \"Rylee, Kinsley, Claire\", \"in the early afternoon\", \"50 minutes\"], \"text_template_based\": \"I talked to Rylee, Kinsley, Claire for 50 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Kinsley, Claire in the early afternoon on 2021/03/22?\", \"50 minutes\"], [\"who did I talk to on 2021/03/22?\", \"Rylee, Kinsley, Claire\"], [\"Did I talk to Rylee, Kinsley, Claire on 2021/03/22?\", \"yes\"], [\"Did I talk to anyone on 2021/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7273\", \"logical_representation\": [\"2021/03/22\", \"a documentary\", \"42 minutes\"], \"text_template_based\": \"I watched a documentary for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/03/22?\", \"42 minutes\"], [\"what did I watch on tv on 2021/03/22?\", \"a documentary\"], [\"Did I watch tv on 2021/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/23\": {\"exercise\": {\"eid\": \"e7274\", \"logical_representation\": [\"2021/03/23\", \"biking\"], \"text_template_based\": \"I did biking on 2021/03/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/23?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2021/03/26\": {\"lunch\": {\"eid\": \"e7278\", \"logical_representation\": [\"2021/03/26\", \"lunch\", \"fish and chips\", \"Piper, Kinsley, Claire, Piper, Nevaeh, Avery, Olivia, Lydia, Rylee, Nora, Eva, Layla, Hazel\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7279\", \"logical_representation\": [\"2021/03/26\", \"Claire, Kinsley, Avery\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Claire, Kinsley, Avery on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Kinsley, Avery late in the evening on 2021/03/26?\", \"11 minutes\"], [\"who did I talk to on 2021/03/26?\", \"Claire, Kinsley, Avery\"], [\"Did I talk to Claire, Kinsley, Avery on 2021/03/26?\", \"yes\"], [\"Did I talk to anyone on 2021/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/27\": {\"exercise\": {\"eid\": \"e7280\", \"logical_representation\": [\"2021/03/27\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/03/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/03/27?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7281\", \"logical_representation\": [\"2021/03/27\", \"lunch\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7282\", \"logical_representation\": [\"2021/03/27\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/03/27?\", \"45 minutes\"], [\"what did I read on 2021/03/27?\", \"social media\"], [\"Did I read on 2021/03/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/28\": {\"lunch\": {\"eid\": \"e7283\", \"logical_representation\": [\"2021/03/28\", \"lunch\", \"sandwich\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/03/28\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7284\", \"logical_representation\": [\"2021/03/28\", \"Layla, Eva, Piper, Nevaeh\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Layla, Eva, Piper, Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Eva, Piper, Nevaeh during lunch hours on 2021/03/28?\", \"44 minutes\"], [\"who did I talk to on 2021/03/28?\", \"Layla, Eva, Piper, Nevaeh\"], [\"Did I talk to Layla, Eva, Piper, Nevaeh on 2021/03/28?\", \"yes\"], [\"Did I talk to anyone on 2021/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7285\", \"logical_representation\": [\"2021/03/28\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/03/28?\", \"38 minutes\"], [\"what did I read on 2021/03/28?\", \"news\"], [\"Did I read on 2021/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/03/30\": {\"dinner\": {\"eid\": \"e7286\", \"logical_representation\": [\"2021/03/30\", \"dinner\", \"indian food\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/03/30\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7287\", \"logical_representation\": [\"2021/03/30\", \"Olivia, Eva, Layla\", \"in the early evening\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Olivia, Eva, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Eva, Layla in the early evening on 2021/03/30?\", \"44 minutes\"], [\"who did I 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Kinsley, Piper on 2021/04/01?\", \"yes\"], [\"Did I talk to anyone on 2021/04/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/02\": {\"lunch\": {\"eid\": \"e7290\", \"logical_representation\": [\"2021/04/02\", \"lunch\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I had fish and chips for lunch with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/04/02?\", \"Andrew\"], [\"what did I eat for lunch on 2021/04/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7291\", \"logical_representation\": [\"2021/04/02\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/02?\", \"7 minutes\"], [\"what did I watch on tv on 2021/04/02?\", \"a tv series\"], [\"Did I watch tv on 2021/04/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/03\": {\"breakfast\": {\"eid\": \"e7292\", \"logical_representation\": [\"2021/04/03\", \"breakfast\", \"eggs, sausages, and bread\", \"Emily, Kayden\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/04/03\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7293\", \"logical_representation\": [\"2021/04/03\", \"dinner\", \"chinese food\", \"Claire, Nevaeh, Nora, Lydia, Kinsley, Piper\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/04/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7294\", \"logical_representation\": [\"2021/04/03\", \"Eva, Nora\", \"in the early evening\", \"5 minutes\"], \"text_template_based\": \"I spent 5 talking to Eva, Nora on various topics in the early 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\"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/05?\", \"16 minutes\"], [\"what did I watch on tv on 2021/04/05?\", \"news\"], [\"Did I watch tv on 2021/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/08\": {\"dinner\": {\"eid\": \"e7301\", \"logical_representation\": [\"2021/04/08\", \"dinner\", \"chinese food\", \"Emily, Carter, Kayden, Andrew\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/04/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7302\", \"logical_representation\": [\"2021/04/08\", \"Piper, Lydia, Piper, Claire\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Piper, Lydia, Piper, Claire on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Piper, Claire in the early afternoon on 2021/04/08?\", \"9 minutes\"], [\"who did I talk to on 2021/04/08?\", \"Piper, Lydia, Piper, Claire\"], [\"Did I talk to Piper, Lydia, Piper, Claire on 2021/04/08?\", \"yes\"], [\"Did I talk to anyone on 2021/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/10\": {\"watch tv\": {\"eid\": \"e7303\", \"logical_representation\": [\"2021/04/10\", \"a tv series\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/10?\", \"41 minutes\"], [\"what did I watch on tv on 2021/04/10?\", \"a tv series\"], [\"Did I watch tv on 2021/04/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/11\": {\"lunch\": {\"eid\": \"e7304\", \"logical_representation\": [\"2021/04/11\", \"lunch\", \"indian food\", \"Andrew, Kayden, Carter\"], \"text_template_based\": \"I ate indian food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/04/11\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7305\", \"logical_representation\": [\"2021/04/11\", \"Piper, Avery, Kinsley\", \"in the early evening\", \"29 minutes\"], \"text_template_based\": \"I talked to Piper, Avery, Kinsley for 29 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Avery, Kinsley in the early evening on 2021/04/11?\", \"29 minutes\"], [\"who did I talk to on 2021/04/11?\", \"Piper, Avery, Kinsley\"], [\"Did I talk to Piper, Avery, Kinsley on 2021/04/11?\", \"yes\"], [\"Did I talk to anyone on 2021/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/12\": {\"dinner\": {\"eid\": \"e7306\", \"logical_representation\": [\"2021/04/12\", \"dinner\", \"sandwich\", \"Claire, Rylee, Layla, Nora, Lydia, Avery, Kinsley, Olivia, Piper, Hazel, Nevaeh\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/04/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2021/04/13\": {\"lunch\": {\"eid\": \"e7307\", \"logical_representation\": [\"2021/04/13\", \"lunch\", \"tacos\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/04/13?\", \"Emily\"], [\"what did I eat for lunch on 2021/04/13\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/04/14\": {\"breakfast\": {\"eid\": \"e7308\", \"logical_representation\": [\"2021/04/14\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/04/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7309\", \"logical_representation\": [\"2021/04/14\", \"lunch\", \"chinese food\", \"Rylee, Nora, Eva, Lydia, Claire, Hazel, Nevaeh, Kinsley, Avery, Piper, Piper, Olivia, Layla\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/04/14\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7310\", \"logical_representation\": [\"2021/04/14\", \"Claire, Piper, Kinsley\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Claire, Piper, Kinsley for 20 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Kinsley in the early evening on 2021/04/14?\", \"20 minutes\"], [\"who did I talk to on 2021/04/14?\", \"Claire, Piper, Kinsley\"], [\"Did I talk to Claire, Piper, Kinsley on 2021/04/14?\", \"yes\"], [\"Did I talk to anyone on 2021/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/15\": {\"chat0\": {\"eid\": \"e7311\", \"logical_representation\": [\"2021/04/15\", \"Claire\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Claire on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2021/04/15?\", \"37 minutes\"], [\"who did I talk to on 2021/04/15?\", \"Claire\"], [\"Did I talk to Claire on 2021/04/15?\", \"yes\"], [\"Did I talk to anyone on 2021/04/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/16\": {\"watch tv\": {\"eid\": \"e7312\", \"logical_representation\": [\"2021/04/16\", \"news\", \"13 minutes\"], \"text_template_based\": \"I watched news for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/16?\", \"13 minutes\"], [\"what did I watch on tv on 2021/04/16?\", \"news\"], [\"Did I watch tv on 2021/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/18\": {\"dinner\": {\"eid\": \"e7313\", \"logical_representation\": [\"2021/04/18\", \"dinner\", \"a burger\", \"Willow\"], \"text_template_based\": \"I had dinner. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/04/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7314\", \"logical_representation\": [\"2021/04/18\", \"Nora, Claire\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Nora, Claire for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire in the morning on 2021/04/18?\", \"45 minutes\"], [\"who did I talk to on 2021/04/18?\", \"Nora, Claire\"], [\"Did I talk to Nora, Claire on 2021/04/18?\", \"yes\"], [\"Did I talk to anyone on 2021/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7315\", \"logical_representation\": [\"2021/04/18\", \"a movie\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/18?\", \"31 minutes\"], [\"what did I watch on tv on 2021/04/18?\", \"a movie\"], [\"Did I watch tv on 2021/04/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/20\": {\"breakfast\": {\"eid\": \"e7316\", \"logical_representation\": [\"2021/04/20\", \"breakfast\", \"eggs, sausages, and bread\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I had breakfast with Jackson, Benjamin, Avery, Willow. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/04/20?\", \"Jackson, Benjamin, Avery, Willow\"], [\"what did I eat for breakfast on 2021/04/20\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7317\", \"logical_representation\": [\"2021/04/20\", \"Rylee\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I spent 41 talking to Rylee on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee late in the evening on 2021/04/20?\", \"41 minutes\"], [\"who did I talk to on 2021/04/20?\", \"Rylee\"], [\"Did I talk to Rylee on 2021/04/20?\", \"yes\"], [\"Did I talk to anyone on 2021/04/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/21\": {\"exercise\": {\"eid\": \"e7318\", \"logical_representation\": [\"2021/04/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/04/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/04/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7319\", \"logical_representation\": [\"2021/04/21\", \"lunch\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/04/21?\", \"Emily\"], [\"what did I eat for lunch on 2021/04/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2021/04/22\": {\"breakfast\": {\"eid\": \"e7320\", \"logical_representation\": [\"2021/04/22\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/04/22\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2021/04/23\": {\"chat0\": {\"eid\": \"e7321\", \"logical_representation\": [\"2021/04/23\", \"Lydia, Olivia, Hazel\", \"late in the evening\", \"12 minutes\"], \"text_template_based\": \"I spent 12 talking to Lydia, Olivia, Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia, Hazel late in the evening on 2021/04/23?\", \"12 minutes\"], [\"who did I talk to on 2021/04/23?\", \"Lydia, Olivia, Hazel\"], [\"Did I talk to Lydia, Olivia, Hazel on 2021/04/23?\", \"yes\"], [\"Did I talk to anyone on 2021/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/25\": {\"exercise\": {\"eid\": \"e7322\", \"logical_representation\": [\"2021/04/25\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/04/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/04/25?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7323\", \"logical_representation\": [\"2021/04/25\", \"breakfast\", \"pancakes\", \"Carter, Andrew, Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/04/25\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7324\", \"logical_representation\": [\"2021/04/25\", \"Eva, Nora, Claire, Rylee\", \"during lunch hours\", \"41 minutes\"], \"text_template_based\": \"I talked to Eva, Nora, Claire, Rylee for 41 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora, Claire, Rylee during lunch hours on 2021/04/25?\", \"41 minutes\"], [\"who did I talk to on 2021/04/25?\", \"Eva, Nora, Claire, Rylee\"], [\"Did I talk to Eva, Nora, Claire, Rylee on 2021/04/25?\", \"yes\"], [\"Did I talk to anyone on 2021/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7325\", \"logical_representation\": [\"2021/04/25\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/04/25?\", \"6 minutes\"], [\"what did I read on 2021/04/25?\", \"news\"], [\"Did I read on 2021/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7326\", \"logical_representation\": [\"2021/04/25\", \"a documentary\", \"48 minutes\"], \"text_template_based\": \"I watched a documentary for 48 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/25?\", \"48 minutes\"], [\"what did I watch on tv on 2021/04/25?\", \"a documentary\"], [\"Did I watch tv on 2021/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/26\": {\"breakfast\": {\"eid\": \"e7327\", \"logical_representation\": [\"2021/04/26\", \"breakfast\", \"peanut-butter-jam\", \"Carter\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/04/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7328\", \"logical_representation\": [\"2021/04/26\", \"lunch\", \"a burger\", \"Piper, Rylee, Kinsley, Nora, Nevaeh, Layla, Avery, Eva\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/04/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7329\", \"logical_representation\": [\"2021/04/26\", \"Piper, Layla, Piper, Eva\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Piper, Layla, Piper, Eva on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Piper, Eva in the morning on 2021/04/26?\", \"14 minutes\"], [\"who did I talk to on 2021/04/26?\", \"Piper, Layla, Piper, Eva\"], [\"Did I talk to Piper, Layla, Piper, Eva on 2021/04/26?\", \"yes\"], [\"Did I talk to anyone on 2021/04/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/27\": {\"exercise\": {\"eid\": \"e7330\", \"logical_representation\": [\"2021/04/27\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/04/27.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/04/27?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2021/04/29\": {\"exercise\": {\"eid\": \"e7331\", \"logical_representation\": [\"2021/04/29\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/04/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/04/29?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7332\", \"logical_representation\": [\"2021/04/29\", \"news\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/04/29?\", \"49 minutes\"], [\"what did I read on 2021/04/29?\", \"news\"], [\"Did I read on 2021/04/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/04/30\": {\"breakfast\": {\"eid\": \"e7333\", \"logical_representation\": [\"2021/04/30\", \"breakfast\", \"cereals\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had cereals for breakfast with Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/04/30?\", \"Emily, Carter, Kayden\"], [\"what did I eat for breakfast on 2021/04/30\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7334\", \"logical_representation\": [\"2021/04/30\", \"a tv series\", \"21 minutes\"], \"text_template_based\": \"I watched a tv series for 21 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/04/30?\", \"21 minutes\"], [\"what did I watch on tv on 2021/04/30?\", \"a tv series\"], [\"Did I watch tv on 2021/04/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/01\": {\"exercise\": {\"eid\": \"e7335\", \"logical_representation\": [\"2021/05/01\", \"biking\"], \"text_template_based\": \"I did biking on 2021/05/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/01?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7336\", \"logical_representation\": [\"2021/05/01\", \"Rylee, Nevaeh, Eva\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I talked to Rylee, Nevaeh, Eva for 22 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Eva in the early afternoon on 2021/05/01?\", \"22 minutes\"], [\"who did I talk to on 2021/05/01?\", \"Rylee, Nevaeh, Eva\"], [\"Did I talk to Rylee, Nevaeh, Eva on 2021/05/01?\", \"yes\"], [\"Did I talk to anyone on 2021/05/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/02\": {\"dinner\": {\"eid\": \"e7337\", \"logical_representation\": [\"2021/05/02\", \"dinner\", \"tacos\", \"Olivia, Piper, Kinsley, Avery, Nora, Piper, Claire\"], \"text_template_based\": \"I had tacos for dinner with Olivia, Piper, Kinsley, Avery, Nora, Piper, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/05/02?\", \"Olivia, Piper, Kinsley, Avery, Nora, Piper, Claire\"], [\"what did I eat for dinner on 2021/05/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7338\", \"logical_representation\": [\"2021/05/02\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/05/02?\", \"36 minutes\"], [\"what did I read on 2021/05/02?\", \"social media\"], [\"Did I read on 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{\"lunch\": {\"eid\": \"e7341\", \"logical_representation\": [\"2021/05/05\", \"lunch\", \"a burger\", \"Andrew, Emily, Kayden, Carter\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/05/05\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7342\", \"logical_representation\": [\"2021/05/05\", \"Nora, Kinsley, Eva, Nevaeh\", \"in the early evening\", \"55 minutes\"], \"text_template_based\": \"I talked to Nora, Kinsley, Eva, Nevaeh for 55 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Eva, Nevaeh in the early evening on 2021/05/05?\", \"55 minutes\"], [\"who did I talk to on 2021/05/05?\", \"Nora, Kinsley, Eva, Nevaeh\"], [\"Did I talk to Nora, Kinsley, Eva, Nevaeh on 2021/05/05?\", \"yes\"], [\"Did I talk to anyone on 2021/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7343\", \"logical_representation\": [\"2021/05/05\", \"social media\", \"45 minutes\"], \"text_template_based\": \"I spent 45 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/05/05?\", \"45 minutes\"], [\"what did I read on 2021/05/05?\", \"social media\"], [\"Did I read on 2021/05/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/07\": {\"exercise\": {\"eid\": \"e7345\", \"logical_representation\": [\"2021/05/07\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/05/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/07?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2021/05/08\": {\"read\": {\"eid\": \"e7346\", \"logical_representation\": [\"2021/05/08\", \"a book\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/05/08?\", \"14 minutes\"], [\"what did I read on 2021/05/08?\", \"a book\"], [\"Did I read on 2021/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/09\": {\"chat0\": {\"eid\": \"e7347\", \"logical_representation\": [\"2021/05/09\", \"Hazel, Rylee, Kinsley\", \"in the early afternoon\", \"6 minutes\"], \"text_template_based\": \"I talked to Hazel, Rylee, Kinsley for 6 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee, Kinsley in the early afternoon on 2021/05/09?\", \"6 minutes\"], [\"who did I talk to on 2021/05/09?\", \"Hazel, Rylee, Kinsley\"], [\"Did I talk to Hazel, Rylee, Kinsley on 2021/05/09?\", \"yes\"], [\"Did I talk to anyone on 2021/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7348\", \"logical_representation\": [\"2021/05/09\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/05/09?\", \"22 minutes\"], [\"what did I read on 2021/05/09?\", \"news\"], [\"Did I read on 2021/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/11\": {\"watch tv\": {\"eid\": \"e7351\", \"logical_representation\": [\"2021/05/11\", \"news\", \"30 minutes\"], \"text_template_based\": \"I watched news for 30 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/11?\", \"30 minutes\"], [\"what did I watch on tv on 2021/05/11?\", \"news\"], [\"Did I watch tv on 2021/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/12\": {\"exercise\": {\"eid\": \"e7352\", \"logical_representation\": [\"2021/05/12\", \"running\"], \"text_template_based\": \"I did running on 2021/05/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/12?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7353\", \"logical_representation\": [\"2021/05/12\", \"lunch\", \"sushi\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/05/12\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2021/05/13\": {\"dinner\": {\"eid\": \"e7354\", \"logical_representation\": [\"2021/05/13\", \"dinner\", \"steak\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/05/13\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7355\", \"logical_representation\": [\"2021/05/13\", \"Nevaeh, Hazel, Olivia\", \"in the early afternoon\", \"34 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Hazel, Olivia for 34 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Hazel, Olivia in the early afternoon on 2021/05/13?\", \"34 minutes\"], [\"who did I talk to on 2021/05/13?\", \"Nevaeh, Hazel, Olivia\"], [\"Did I talk to Nevaeh, Hazel, Olivia on 2021/05/13?\", \"yes\"], [\"Did I talk to anyone on 2021/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7356\", \"logical_representation\": [\"2021/05/13\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/05/13?\", \"35 minutes\"], [\"what did I read on 2021/05/13?\", \"social media\"], [\"Did I read on 2021/05/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/14\": {\"dinner\": {\"eid\": \"e7357\", \"logical_representation\": [\"2021/05/14\", \"dinner\", \"pasta\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/05/14\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7358\", \"logical_representation\": [\"2021/05/14\", \"social media\", \"9 minutes\"], \"text_template_based\": \"I spent 9 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/05/14?\", \"9 minutes\"], [\"what did I read on 2021/05/14?\", \"social media\"], [\"Did I read on 2021/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/18\": {\"dinner\": {\"eid\": \"e7361\", \"logical_representation\": [\"2021/05/18\", \"dinner\", \"steak\", \"Claire, Piper, Rylee, Piper, Avery, Eva\"], \"text_template_based\": \"I prepare steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/05/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7362\", \"logical_representation\": [\"2021/05/18\", \"Rylee, Nevaeh, Kinsley\", \"in the late afternoon\", \"42 minutes\"], \"text_template_based\": \"I spent 42 talking to Rylee, Nevaeh, Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Kinsley in the late afternoon on 2021/05/18?\", \"42 minutes\"], [\"who did I talk to on 2021/05/18?\", \"Rylee, Nevaeh, Kinsley\"], [\"Did I talk to Rylee, Nevaeh, Kinsley on 2021/05/18?\", \"yes\"], [\"Did I talk to anyone on 2021/05/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/19\": {\"exercise\": {\"eid\": \"e7363\", \"logical_representation\": [\"2021/05/19\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/05/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/19?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7364\", \"logical_representation\": [\"2021/05/19\", \"breakfast\", \"pancakes\", \"Avery, Benjamin, Willow\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/05/19\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/20\": {\"exercise\": {\"eid\": \"e7365\", \"logical_representation\": [\"2021/05/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/05/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7366\", \"logical_representation\": [\"2021/05/20\", \"social media\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/05/20?\", \"35 minutes\"], [\"what did I read on 2021/05/20?\", \"social media\"], [\"Did I read on 2021/05/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/21\": {\"watch tv\": {\"eid\": \"e7367\", \"logical_representation\": [\"2021/05/21\", \"news\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/21?\", \"29 minutes\"], [\"what did I watch on tv on 2021/05/21?\", \"news\"], [\"Did I watch tv on 2021/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/24\": {\"exercise\": {\"eid\": \"e7368\", \"logical_representation\": [\"2021/05/24\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/05/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/24?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7369\", \"logical_representation\": [\"2021/05/24\", \"lunch\", \"sandwich\", \"Emily, Kayden\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/05/24\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7370\", \"logical_representation\": [\"2021/05/24\", \"Nora, Claire, Piper\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I talked to Nora, Claire, Piper for 39 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Claire, Piper in the late afternoon on 2021/05/24?\", \"39 minutes\"], [\"who did I talk to on 2021/05/24?\", \"Nora, Claire, Piper\"], [\"Did I talk to Nora, Claire, Piper on 2021/05/24?\", \"yes\"], [\"Did I talk to anyone on 2021/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7371\", \"logical_representation\": [\"2021/05/24\", \"news\", \"11 minutes\"], \"text_template_based\": \"I watched news for 11 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/24?\", \"11 minutes\"], [\"what did I watch on tv on 2021/05/24?\", \"news\"], [\"Did I watch tv on 2021/05/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/25\": {\"exercise\": {\"eid\": \"e7372\", \"logical_representation\": [\"2021/05/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/05/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/05/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7373\", \"logical_representation\": [\"2021/05/25\", \"lunch\", \"a burger\", \"Andrew, Kayden, Emily, Carter\"], \"text_template_based\": \"I had a burger for lunch with Andrew, Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/05/25?\", \"Andrew, Kayden, Emily, Carter\"], [\"what did I eat for lunch on 2021/05/25\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7374\", \"logical_representation\": [\"2021/05/25\", \"Rylee\", \"in the late afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2021/05/25?\", \"20 minutes\"], [\"who did I talk to on 2021/05/25?\", \"Rylee\"], [\"Did I talk to Rylee on 2021/05/25?\", \"yes\"], [\"Did I talk to anyone on 2021/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7375\", \"logical_representation\": [\"2021/05/25\", \"a tv series\", \"36 minutes\"], \"text_template_based\": \"I watched a tv series for 36 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/05/25?\", \"36 minutes\"], [\"what did I watch on tv on 2021/05/25?\", \"a tv series\"], [\"Did I watch tv on 2021/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/26\": {\"dinner\": {\"eid\": \"e7376\", \"logical_representation\": [\"2021/05/26\", \"dinner\", \"a burger\", \"Carter\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/05/26\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2021/05/27\": {\"chat0\": {\"eid\": \"e7377\", \"logical_representation\": [\"2021/05/27\", \"Piper, Layla, Olivia\", \"in the early afternoon\", \"52 minutes\"], \"text_template_based\": \"I talked to Piper, Layla, Olivia for 52 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Olivia in the early afternoon on 2021/05/27?\", \"52 minutes\"], [\"who did I talk to on 2021/05/27?\", \"Piper, Layla, Olivia\"], [\"Did I talk to Piper, Layla, Olivia on 2021/05/27?\", \"yes\"], [\"Did I talk to anyone on 2021/05/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/29\": {\"chat0\": {\"eid\": \"e7378\", \"logical_representation\": [\"2021/05/29\", \"Rylee, Eva\", \"in the early evening\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Rylee, Eva on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Eva in the early evening on 2021/05/29?\", \"49 minutes\"], [\"who did I talk to on 2021/05/29?\", \"Rylee, Eva\"], [\"Did I talk to Rylee, Eva on 2021/05/29?\", \"yes\"], [\"Did I talk to anyone on 2021/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/05/30\": {\"read\": {\"eid\": \"e7379\", \"logical_representation\": [\"2021/05/30\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/05/30?\", \"19 minutes\"], [\"what did I read on 2021/05/30?\", \"news\"], [\"Did I read on 2021/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/02\": {\"lunch\": {\"eid\": \"e7380\", \"logical_representation\": [\"2021/06/02\", \"lunch\", \"tacos\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Kayden, Emily. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/06/02?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for lunch on 2021/06/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7381\", \"logical_representation\": [\"2021/06/02\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/06/02?\", \"12 minutes\"], [\"what did I read on 2021/06/02?\", \"a book\"], [\"Did I read on 2021/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/04\": {\"exercise\": {\"eid\": \"e7383\", \"logical_representation\": [\"2021/06/04\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/06/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/06/04?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7384\", \"logical_representation\": [\"2021/06/04\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I watched a documentary for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/04?\", \"7 minutes\"], [\"what did I watch on tv on 2021/06/04?\", \"a documentary\"], [\"Did I watch tv on 2021/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/06\": {\"exercise\": {\"eid\": \"e7385\", \"logical_representation\": [\"2021/06/06\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/06/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/06/06?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2021/06/07\": {\"breakfast\": {\"eid\": \"e7386\", \"logical_representation\": [\"2021/06/07\", \"breakfast\", \"toast and cheese\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/06/07\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7387\", \"logical_representation\": [\"2021/06/07\", \"lunch\", \"sushi\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/06/07?\", \"Andrew, Emily\"], [\"what did I eat for lunch on 2021/06/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7388\", \"logical_representation\": [\"2021/06/07\", \"Lydia, Hazel, Nora\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I talked to Lydia, Hazel, Nora for 23 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Hazel, Nora in the early evening on 2021/06/07?\", \"23 minutes\"], [\"who did I talk to on 2021/06/07?\", \"Lydia, Hazel, Nora\"], [\"Did I talk to Lydia, Hazel, Nora on 2021/06/07?\", \"yes\"], [\"Did I talk to anyone on 2021/06/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/09\": {\"lunch\": {\"eid\": \"e7389\", \"logical_representation\": [\"2021/06/09\", \"lunch\", \"tacos\", \"Olivia, Avery, Piper, Lydia, Nevaeh, Claire, Piper, Eva, Rylee, Nora, Hazel, Layla, Kinsley\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/06/09\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/06/10\": {\"breakfast\": {\"eid\": \"e7390\", \"logical_representation\": [\"2021/06/10\", \"breakfast\", \"pancakes\", \"Willow\"], \"text_template_based\": \"I had pancakes for breakfast with Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/06/10?\", \"Willow\"], [\"what did I eat for breakfast on 2021/06/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7391\", \"logical_representation\": [\"2021/06/10\", \"dinner\", \"chinese food\", \"Kinsley, Piper, Olivia, Lydia, Claire, Rylee, Hazel, Piper, Avery, Eva, Nevaeh\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/06/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2021/06/12\": {\"chat0\": {\"eid\": \"e7392\", \"logical_representation\": [\"2021/06/12\", \"Lydia, Nevaeh, Rylee, Hazel\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Lydia, Nevaeh, Rylee, Hazel for 17 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nevaeh, Rylee, Hazel late in the evening on 2021/06/12?\", \"17 minutes\"], [\"who did I talk to on 2021/06/12?\", \"Lydia, Nevaeh, Rylee, Hazel\"], [\"Did I talk to Lydia, Nevaeh, Rylee, Hazel on 2021/06/12?\", \"yes\"], [\"Did I talk to anyone on 2021/06/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/13\": {\"exercise\": {\"eid\": \"e7393\", \"logical_representation\": [\"2021/06/13\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/06/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/06/13?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7394\", \"logical_representation\": [\"2021/06/13\", \"Piper\", \"during lunch hours\", \"46 minutes\"], \"text_template_based\": \"I talked to Piper for 46 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper during lunch hours on 2021/06/13?\", \"46 minutes\"], [\"who did I talk to on 2021/06/13?\", \"Piper\"], [\"Did I talk to Piper on 2021/06/13?\", \"yes\"], [\"Did I talk to anyone on 2021/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/14\": {\"chat0\": {\"eid\": \"e7395\", \"logical_representation\": [\"2021/06/14\", \"Rylee, Lydia\", \"during lunch hours\", \"51 minutes\"], \"text_template_based\": \"I spent 51 talking to Rylee, Lydia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Lydia during lunch hours on 2021/06/14?\", \"51 minutes\"], [\"who did I talk to on 2021/06/14?\", \"Rylee, Lydia\"], [\"Did I talk to Rylee, Lydia on 2021/06/14?\", \"yes\"], [\"Did I talk to anyone on 2021/06/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/15\": {\"lunch\": {\"eid\": \"e7396\", \"logical_representation\": [\"2021/06/15\", \"lunch\", \"sushi\", \"Hazel, Nevaeh, Nora, Piper, Piper, Lydia, Olivia, Avery, Claire, Kinsley\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/06/15\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7397\", \"logical_representation\": [\"2021/06/15\", \"news\", \"15 minutes\"], \"text_template_based\": \"I spent 15 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/15?\", \"15 minutes\"], [\"what did I watch on tv on 2021/06/15?\", \"news\"], [\"Did I watch tv on 2021/06/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/16\": {\"lunch\": {\"eid\": \"e7398\", \"logical_representation\": [\"2021/06/16\", \"lunch\", \"tacos\", \"Willow, Benjamin\"], \"text_template_based\": \"I had tacos for lunch with Willow, Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/06/16?\", \"Willow, Benjamin\"], [\"what did I eat for lunch on 2021/06/16\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/06/18\": {\"lunch\": {\"eid\": \"e7402\", \"logical_representation\": [\"2021/06/18\", \"lunch\", \"fish and chips\", \"Kinsley, Lydia, Nevaeh\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/06/18\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2021/06/20\": {\"lunch\": {\"eid\": \"e7403\", \"logical_representation\": [\"2021/06/20\", \"lunch\", \"chinese food\", \"Kayden, Carter, Emily\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/06/20\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2021/06/23\": {\"breakfast\": {\"eid\": \"e7406\", \"logical_representation\": [\"2021/06/23\", \"breakfast\", \"oatmeal\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast with Andrew, Emily. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/06/23?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2021/06/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7407\", \"logical_representation\": [\"2021/06/23\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/06/23?\", \"30 minutes\"], [\"what did I read on 2021/06/23?\", \"social media\"], [\"Did I read on 2021/06/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/24\": {\"read\": {\"eid\": \"e7408\", \"logical_representation\": [\"2021/06/24\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/06/24?\", \"36 minutes\"], [\"what did I read on 2021/06/24?\", \"a book\"], [\"Did I read on 2021/06/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/26\": {\"watch tv\": {\"eid\": \"e7413\", \"logical_representation\": [\"2021/06/26\", \"a documentary\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/26?\", \"55 minutes\"], [\"what did I watch on tv on 2021/06/26?\", \"a documentary\"], [\"Did I watch tv on 2021/06/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/27\": {\"chat0\": {\"eid\": \"e7414\", \"logical_representation\": [\"2021/06/27\", \"Eva, Claire, Piper\", \"during lunch hours\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Eva, Claire, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Claire, Piper during lunch hours on 2021/06/27?\", \"11 minutes\"], [\"who did I talk to on 2021/06/27?\", \"Eva, Claire, Piper\"], [\"Did I talk to Eva, Claire, Piper on 2021/06/27?\", \"yes\"], [\"Did I talk to anyone on 2021/06/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/06/28\": {\"chat0\": {\"eid\": \"e7415\", \"logical_representation\": [\"2021/06/28\", \"Layla, Claire\", \"in the morning\", \"51 minutes\"], \"text_template_based\": \"I talked to Layla, Claire for 51 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire in the morning on 2021/06/28?\", \"51 minutes\"], [\"who did I talk to on 2021/06/28?\", \"Layla, Claire\"], [\"Did I talk to Layla, Claire on 2021/06/28?\", \"yes\"], [\"Did I talk to anyone on 2021/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7416\", \"logical_representation\": [\"2021/06/28\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I watched a movie for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/06/28?\", \"29 minutes\"], [\"what did I watch on tv on 2021/06/28?\", \"a movie\"], [\"Did I watch tv on 2021/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/02\": {\"breakfast\": {\"eid\": \"e7422\", \"logical_representation\": [\"2021/07/02\", \"breakfast\", \"oatmeal\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/07/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7423\", \"logical_representation\": [\"2021/07/02\", \"dinner\", \"a burger\", \"Andrew\"], \"text_template_based\": \"I had a burger for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/02?\", \"Andrew\"], [\"what did I eat for dinner on 2021/07/02\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2021/07/03\": {\"exercise\": {\"eid\": \"e7424\", \"logical_representation\": [\"2021/07/03\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/07/03.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/03?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7425\", \"logical_representation\": [\"2021/07/03\", \"lunch\", \"steak\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Carter, Kayden, Emily. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/07/03?\", \"Andrew, Carter, Kayden, Emily\"], [\"what did I eat for lunch on 2021/07/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7426\", \"logical_representation\": [\"2021/07/03\", \"dinner\", \"tacos\", \"Carter\"], \"text_template_based\": \"I ate tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/07/03\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7427\", \"logical_representation\": [\"2021/07/03\", \"Nora, Olivia, Rylee, Avery\", \"late in the evening\", \"26 minutes\"], \"text_template_based\": \"I talked to Nora, Olivia, Rylee, Avery for 26 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Olivia, Rylee, Avery late in the evening on 2021/07/03?\", \"26 minutes\"], [\"who did I talk to on 2021/07/03?\", \"Nora, Olivia, Rylee, Avery\"], [\"Did I talk to Nora, Olivia, Rylee, Avery on 2021/07/03?\", \"yes\"], [\"Did I talk to anyone on 2021/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/04\": {\"lunch\": {\"eid\": \"e7428\", \"logical_representation\": [\"2021/07/04\", \"lunch\", \"tacos\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Carter, Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/07/04?\", \"Emily, Carter, Andrew\"], [\"what did I eat for lunch on 2021/07/04\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/07/05\": {\"exercise\": {\"eid\": \"e7429\", \"logical_representation\": [\"2021/07/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/07/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7430\", \"logical_representation\": [\"2021/07/05\", \"Avery, Nevaeh\", \"late in the evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Avery, Nevaeh for 17 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nevaeh late in the evening on 2021/07/05?\", \"17 minutes\"], [\"who did I talk to on 2021/07/05?\", \"Avery, Nevaeh\"], [\"Did I talk to Avery, Nevaeh on 2021/07/05?\", \"yes\"], [\"Did I talk to anyone on 2021/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7431\", \"logical_representation\": [\"2021/07/05\", \"news\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/07/05?\", \"37 minutes\"], [\"what did I read on 2021/07/05?\", \"news\"], [\"Did I read on 2021/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/06\": {\"lunch\": {\"eid\": \"e7432\", \"logical_representation\": [\"2021/07/06\", \"lunch\", \"indian food\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/07/06?\", \"Carter\"], [\"what did I eat for lunch on 2021/07/06\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7433\", \"logical_representation\": [\"2021/07/06\", \"news\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/06?\", \"36 minutes\"], [\"what did I watch on tv on 2021/07/06?\", \"news\"], [\"Did I watch tv on 2021/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/07\": {\"exercise\": {\"eid\": \"e7434\", \"logical_representation\": [\"2021/07/07\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/07/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/07?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7435\", \"logical_representation\": [\"2021/07/07\", \"dinner\", \"chinese food\", \"Piper\"], \"text_template_based\": \"I had chinese food for dinner with Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/07?\", \"Piper\"], [\"what did I eat for dinner on 2021/07/07\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7436\", \"logical_representation\": [\"2021/07/07\", \"Hazel, Layla\", \"in the late afternoon\", \"24 minutes\"], \"text_template_based\": \"I spent 24 talking to Hazel, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Layla in the late afternoon on 2021/07/07?\", \"24 minutes\"], [\"who did I talk to on 2021/07/07?\", \"Hazel, Layla\"], [\"Did I talk to Hazel, Layla on 2021/07/07?\", \"yes\"], [\"Did I talk to anyone on 2021/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/09\": {\"read\": {\"eid\": \"e7437\", \"logical_representation\": [\"2021/07/09\", \"a book\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/07/09?\", \"20 minutes\"], [\"what did I read on 2021/07/09?\", \"a book\"], [\"Did I read on 2021/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/10\": {\"lunch\": {\"eid\": \"e7438\", \"logical_representation\": [\"2021/07/10\", \"lunch\", \"tacos\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Emily, Andrew, Carter. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/07/10?\", \"Kayden, Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2021/07/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7439\", \"logical_representation\": [\"2021/07/10\", \"Piper, Rylee, Olivia\", \"during lunch hours\", \"30 minutes\"], \"text_template_based\": \"I talked to Piper, Rylee, Olivia for 30 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Olivia during lunch hours on 2021/07/10?\", \"30 minutes\"], [\"who did I talk to on 2021/07/10?\", \"Piper, Rylee, Olivia\"], [\"Did I talk to Piper, Rylee, Olivia on 2021/07/10?\", \"yes\"], [\"Did I talk to anyone on 2021/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7440\", \"logical_representation\": [\"2021/07/10\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/07/10?\", \"28 minutes\"], [\"what did I read on 2021/07/10?\", \"social media\"], [\"Did I read on 2021/07/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/11\": {\"lunch\": {\"eid\": \"e7441\", \"logical_representation\": [\"2021/07/11\", \"lunch\", \"steak\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Carter, Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/07/11?\", \"Emily, Carter, Kayden\"], [\"what did I eat for lunch on 2021/07/11\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2021/07/13\": {\"read\": {\"eid\": \"e7444\", \"logical_representation\": [\"2021/07/13\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/07/13?\", \"17 minutes\"], [\"what did I read on 2021/07/13?\", \"a book\"], [\"Did I read on 2021/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/14\": {\"chat0\": {\"eid\": \"e7445\", \"logical_representation\": [\"2021/07/14\", \"Hazel, Avery\", \"late in the evening\", \"10 minutes\"], \"text_template_based\": \"I talked to Hazel, Avery for 10 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Avery late in the evening on 2021/07/14?\", \"10 minutes\"], [\"who did I talk to on 2021/07/14?\", \"Hazel, Avery\"], [\"Did I talk to Hazel, Avery on 2021/07/14?\", \"yes\"], [\"Did I talk to anyone on 2021/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/16\": {\"chat0\": {\"eid\": \"e7446\", \"logical_representation\": [\"2021/07/16\", \"Rylee, Nevaeh, Olivia, Layla\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I spent 14 talking to Rylee, Nevaeh, Olivia, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Nevaeh, Olivia, Layla in the late afternoon on 2021/07/16?\", \"14 minutes\"], [\"who did I talk to on 2021/07/16?\", \"Rylee, Nevaeh, Olivia, Layla\"], [\"Did I talk to Rylee, Nevaeh, Olivia, Layla on 2021/07/16?\", \"yes\"], [\"Did I talk to anyone on 2021/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/17\": {\"exercise\": {\"eid\": \"e7447\", \"logical_representation\": [\"2021/07/17\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/07/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/17?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7448\", \"logical_representation\": [\"2021/07/17\", \"dinner\", \"chinese food\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/07/17\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7449\", \"logical_representation\": [\"2021/07/17\", \"news\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/17?\", \"48 minutes\"], [\"what did I watch on tv on 2021/07/17?\", \"news\"], [\"Did I watch tv on 2021/07/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/19\": {\"chat0\": {\"eid\": \"e7451\", \"logical_representation\": [\"2021/07/19\", \"Piper, Olivia, Kinsley\", \"in the morning\", \"52 minutes\"], \"text_template_based\": \"I talked to Piper, Olivia, Kinsley for 52 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Olivia, Kinsley in the morning on 2021/07/19?\", \"52 minutes\"], [\"who did I talk to on 2021/07/19?\", \"Piper, Olivia, Kinsley\"], [\"Did I talk to Piper, Olivia, Kinsley on 2021/07/19?\", \"yes\"], [\"Did I talk to anyone on 2021/07/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/20\": {\"lunch\": {\"eid\": \"e7452\", \"logical_representation\": [\"2021/07/20\", \"lunch\", \"sandwich\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/07/20\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7453\", \"logical_representation\": [\"2021/07/20\", \"a tv series\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/20?\", \"49 minutes\"], [\"what did I watch on tv on 2021/07/20?\", \"a tv series\"], [\"Did I watch tv on 2021/07/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/21\": {\"exercise\": {\"eid\": \"e7454\", \"logical_representation\": [\"2021/07/21\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/07/21.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/21?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7455\", \"logical_representation\": [\"2021/07/21\", \"lunch\", \"sandwich\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had sandwich for lunch with Emily, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/07/21?\", \"Emily, Andrew, Carter\"], [\"what did I eat for lunch on 2021/07/21\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2021/07/22\": {\"lunch\": {\"eid\": \"e7456\", \"logical_representation\": [\"2021/07/22\", \"lunch\", \"sushi\", \"Eva, Claire, Lydia, Nevaeh, Piper\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/07/22\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2021/07/23\": {\"dinner\": {\"eid\": \"e7457\", \"logical_representation\": [\"2021/07/23\", \"dinner\", \"tacos\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/07/23\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/07/24\": {\"lunch\": {\"eid\": \"e7458\", \"logical_representation\": [\"2021/07/24\", \"lunch\", \"pasta\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I prepare pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/07/24\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7459\", \"logical_representation\": [\"2021/07/24\", \"dinner\", \"pasta\", \"Willow, Benjamin\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/07/24\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2021/07/25\": {\"breakfast\": {\"eid\": \"e7460\", \"logical_representation\": [\"2021/07/25\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/07/25\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7461\", \"logical_representation\": [\"2021/07/25\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/25?\", \"43 minutes\"], [\"what did I watch on tv on 2021/07/25?\", \"a tv series\"], [\"Did I watch tv on 2021/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/26\": {\"exercise\": {\"eid\": \"e7462\", \"logical_representation\": [\"2021/07/26\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/07/26?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7463\", \"logical_representation\": [\"2021/07/26\", \"lunch\", \"steak\", \"Carter\"], \"text_template_based\": \"I prepare steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/07/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7464\", \"logical_representation\": [\"2021/07/26\", \"dinner\", \"tacos\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had tacos for dinner with Emily, Carter, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/07/26?\", \"Emily, Carter, Andrew, Kayden\"], [\"what did I eat for dinner on 2021/07/26\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/07/27\": {\"lunch\": {\"eid\": \"e7465\", \"logical_representation\": [\"2021/07/27\", \"lunch\", \"steak\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had steak for lunch with Willow, Jackson, Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/07/27?\", \"Willow, Jackson, Benjamin, Avery\"], [\"what did I eat for lunch on 2021/07/27\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7466\", \"logical_representation\": [\"2021/07/27\", \"Rylee, Piper, Piper, Avery\", \"in the early evening\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Rylee, Piper, Piper, Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Piper, Avery in the early evening on 2021/07/27?\", \"43 minutes\"], [\"who did I talk to on 2021/07/27?\", \"Rylee, Piper, Piper, Avery\"], [\"Did I talk to Rylee, Piper, Piper, Avery on 2021/07/27?\", \"yes\"], [\"Did I talk to anyone on 2021/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7467\", \"logical_representation\": [\"2021/07/27\", \"a tv series\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/07/27?\", \"26 minutes\"], [\"what did I watch on tv on 2021/07/27?\", \"a tv series\"], [\"Did I watch tv on 2021/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/07/28\": {\"dinner\": {\"eid\": \"e7468\", \"logical_representation\": [\"2021/07/28\", \"dinner\", \"sushi\", \"Kayden, Carter\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/07/28\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2021/07/31\": {\"lunch\": {\"eid\": \"e7470\", \"logical_representation\": [\"2021/07/31\", \"lunch\", \"chinese food\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch with Andrew, Emily. 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\"social media\"], [\"Did I read on 2021/08/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/13\": {\"exercise\": {\"eid\": \"e7493\", \"logical_representation\": [\"2021/08/13\", \"running\"], \"text_template_based\": \"I did running on 2021/08/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/13?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7494\", \"logical_representation\": [\"2021/08/13\", \"breakfast\", \"cereals\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had cereals for breakfast with Kayden, Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/08/13?\", \"Kayden, Andrew, Carter, Emily\"], [\"what did I eat for breakfast on 2021/08/13\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7495\", \"logical_representation\": [\"2021/08/13\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/08/13?\", \"30 minutes\"], [\"what did I read on 2021/08/13?\", \"social media\"], [\"Did I read on 2021/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/15\": {\"exercise\": {\"eid\": \"e7496\", \"logical_representation\": [\"2021/08/15\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/08/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/08/15?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7497\", \"logical_representation\": [\"2021/08/15\", \"dinner\", \"indian food\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I ate indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/15\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": 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\"text_template_based\": \"I spent 14 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/22?\", \"14 minutes\"], [\"what did I watch on tv on 2021/08/22?\", \"a tv series\"], [\"Did I watch tv on 2021/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/23\": {\"watch tv\": {\"eid\": \"e7507\", \"logical_representation\": [\"2021/08/23\", \"a tv series\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/23?\", \"51 minutes\"], [\"what did I watch on tv on 2021/08/23?\", \"a tv series\"], [\"Did I watch tv on 2021/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/25\": {\"watch tv\": {\"eid\": \"e7508\", \"logical_representation\": [\"2021/08/25\", \"a movie\", \"29 minutes\"], \"text_template_based\": \"I watched a movie for 29 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/25?\", \"29 minutes\"], [\"what did I watch on tv on 2021/08/25?\", \"a movie\"], [\"Did I watch tv on 2021/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/26\": {\"dinner\": {\"eid\": \"e7509\", \"logical_representation\": [\"2021/08/26\", \"dinner\", \"indian food\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/08/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7510\", \"logical_representation\": [\"2021/08/26\", \"a tv series\", \"8 minutes\"], \"text_template_based\": \"I watched a tv series for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/08/26?\", \"8 minutes\"], [\"what did I watch on tv on 2021/08/26?\", \"a tv series\"], [\"Did I watch tv on 2021/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/27\": {\"chat0\": {\"eid\": \"e7511\", \"logical_representation\": [\"2021/08/27\", \"Piper, Lydia\", \"late in the evening\", \"47 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia for 47 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia late in the evening on 2021/08/27?\", \"47 minutes\"], [\"who did I talk to on 2021/08/27?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2021/08/27?\", \"yes\"], [\"Did I talk to anyone on 2021/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/28\": {\"breakfast\": {\"eid\": \"e7512\", \"logical_representation\": [\"2021/08/28\", \"breakfast\", \"oatmeal\", \"Emily\"], \"text_template_based\": \"I had oatmeal for breakfast with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/08/28?\", \"Emily\"], [\"what did I eat for breakfast on 2021/08/28\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7513\", \"logical_representation\": [\"2021/08/28\", \"lunch\", \"indian food\", \"Kayden, Carter\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/08/28\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2021/08/29\": {\"dinner\": {\"eid\": \"e7514\", \"logical_representation\": [\"2021/08/29\", \"dinner\", \"indian food\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I had indian food for dinner with Emily, Carter, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/08/29?\", \"Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2021/08/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7515\", \"logical_representation\": [\"2021/08/29\", \"Eva, Rylee\", \"in the early afternoon\", \"21 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee for 21 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee in the early afternoon on 2021/08/29?\", \"21 minutes\"], [\"who did I talk to on 2021/08/29?\", \"Eva, Rylee\"], [\"Did I talk to Eva, Rylee on 2021/08/29?\", \"yes\"], [\"Did I talk to anyone on 2021/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/08/30\": {\"lunch\": {\"eid\": \"e7516\", \"logical_representation\": [\"2021/08/30\", \"lunch\", \"tacos\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/08/30\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/09/01\": {\"exercise\": {\"eid\": \"e7518\", \"logical_representation\": [\"2021/09/01\", \"running\"], \"text_template_based\": \"I did running on 2021/09/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/01?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7519\", \"logical_representation\": [\"2021/09/01\", \"lunch\", \"sandwich\", \"Carter, Andrew\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/09/01\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2021/09/03\": {\"chat0\": {\"eid\": \"e7521\", \"logical_representation\": [\"2021/09/03\", \"Piper, Lydia\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Piper, Lydia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia in the early afternoon on 2021/09/03?\", \"27 minutes\"], [\"who did I talk to on 2021/09/03?\", \"Piper, Lydia\"], [\"Did I talk to Piper, Lydia on 2021/09/03?\", \"yes\"], [\"Did I talk to anyone on 2021/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7522\", \"logical_representation\": [\"2021/09/03\", \"a documentary\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/03?\", \"7 minutes\"], [\"what did I watch on tv on 2021/09/03?\", \"a documentary\"], [\"Did I watch tv on 2021/09/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/07\": {\"breakfast\": {\"eid\": \"e7529\", \"logical_representation\": [\"2021/09/07\", \"breakfast\", \"peanut-butter-jam\", \"Layla, Olivia, Lydia, Claire, Avery\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/09/07\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7530\", \"logical_representation\": [\"2021/09/07\", \"a book\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/09/07?\", \"43 minutes\"], [\"what did I read on 2021/09/07?\", \"a book\"], [\"Did I read on 2021/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/09\": {\"breakfast\": {\"eid\": \"e7531\", \"logical_representation\": [\"2021/09/09\", \"breakfast\", \"pancakes\", \"Kayden\"], \"text_template_based\": \"I had breakfast with Kayden. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/09/09?\", \"Kayden\"], [\"what did I eat for breakfast on 2021/09/09\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7532\", \"logical_representation\": [\"2021/09/09\", \"news\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/09/09?\", \"12 minutes\"], [\"what did I read on 2021/09/09?\", \"news\"], [\"Did I read on 2021/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/10\": {\"breakfast\": {\"eid\": \"e7533\", \"logical_representation\": [\"2021/09/10\", \"breakfast\", \"peanut-butter-jam\", \"Willow\"], \"text_template_based\": \"I had breakfast with Willow. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/09/10?\", \"Willow\"], [\"what did I eat for breakfast on 2021/09/10\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2021/09/13\": {\"lunch\": {\"eid\": \"e7540\", \"logical_representation\": [\"2021/09/13\", \"lunch\", \"a burger\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/09/13\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7541\", \"logical_representation\": [\"2021/09/13\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/09/13?\", \"39 minutes\"], [\"what did I read on 2021/09/13?\", \"a book\"], [\"Did I read on 2021/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/14\": {\"breakfast\": {\"eid\": \"e7542\", \"logical_representation\": [\"2021/09/14\", \"breakfast\", \"peanut-butter-jam\", \"Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/09/14\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7543\", \"logical_representation\": [\"2021/09/14\", \"Piper, Rylee, Kinsley\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I spent 10 talking to Piper, Rylee, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Kinsley in the early afternoon on 2021/09/14?\", \"10 minutes\"], [\"who did I talk to on 2021/09/14?\", \"Piper, Rylee, Kinsley\"], [\"Did I talk to Piper, Rylee, Kinsley on 2021/09/14?\", \"yes\"], [\"Did I talk to anyone on 2021/09/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/16\": {\"exercise\": {\"eid\": \"e7544\", \"logical_representation\": [\"2021/09/16\", \"swimming\"], \"text_template_based\": \"I did swimming on 2021/09/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/16?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7545\", \"logical_representation\": [\"2021/09/16\", \"breakfast\", \"pancakes\", \"Lydia, Piper, Eva, Olivia, Hazel, Piper, Nevaeh\"], \"text_template_based\": \"I had breakfast with Lydia, Piper, Eva, Olivia, Hazel, Piper, Nevaeh. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/09/16?\", \"Lydia, Piper, Eva, Olivia, Hazel, Piper, Nevaeh\"], [\"what did I eat for breakfast on 2021/09/16\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7546\", \"logical_representation\": [\"2021/09/16\", \"a movie\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/16?\", \"31 minutes\"], [\"what did I watch on tv on 2021/09/16?\", \"a movie\"], [\"Did I watch tv on 2021/09/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/18\": {\"lunch\": {\"eid\": \"e7548\", \"logical_representation\": [\"2021/09/18\", \"lunch\", \"steak\", \"Benjamin, Jackson, Avery\"], \"text_template_based\": \"I had lunch with Benjamin, Jackson, Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/09/18?\", \"Benjamin, Jackson, Avery\"], [\"what did I eat for lunch on 2021/09/18\", \"steak\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7549\", \"logical_representation\": [\"2021/09/18\", \"a documentary\", \"34 minutes\"], \"text_template_based\": \"I watched a documentary for 34 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/18?\", \"34 minutes\"], [\"what did I watch on tv on 2021/09/18?\", \"a documentary\"], [\"Did I watch tv on 2021/09/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/20\": {\"breakfast\": {\"eid\": \"e7552\", \"logical_representation\": [\"2021/09/20\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Benjamin, Avery, Willow\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/09/20\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2021/09/23\": {\"breakfast\": {\"eid\": \"e7556\", \"logical_representation\": [\"2021/09/23\", \"breakfast\", \"oatmeal\", \"Hazel, Kinsley, Layla, Claire, Nevaeh, Avery, Eva, Lydia, Rylee\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/09/23\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7557\", \"logical_representation\": [\"2021/09/23\", \"lunch\", \"chinese food\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/09/23\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7558\", \"logical_representation\": [\"2021/09/23\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/23?\", \"30 minutes\"], [\"what did I watch on tv on 2021/09/23?\", \"news\"], [\"Did I watch tv on 2021/09/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/24\": {\"lunch\": {\"eid\": \"e7559\", \"logical_representation\": [\"2021/09/24\", \"lunch\", \"steak\", \"Avery\"], \"text_template_based\": \"I had steak for lunch with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/09/24?\", \"Avery\"], [\"what did I eat for lunch on 2021/09/24\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7560\", \"logical_representation\": [\"2021/09/24\", \"dinner\", \"chinese food\", \"Jackson\"], \"text_template_based\": \"I had chinese food for dinner with Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/09/24?\", \"Jackson\"], [\"what did I eat for dinner on 2021/09/24\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7561\", \"logical_representation\": [\"2021/09/24\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/24?\", \"17 minutes\"], [\"what did I watch on tv on 2021/09/24?\", \"news\"], [\"Did I watch tv on 2021/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/25\": {\"lunch\": {\"eid\": \"e7562\", \"logical_representation\": [\"2021/09/25\", \"lunch\", \"sushi\", \"Nevaeh, Nora, Piper, Layla, Olivia, Claire, Eva, Rylee\"], \"text_template_based\": \"I prepare sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/09/25\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2021/09/26\": {\"breakfast\": {\"eid\": \"e7563\", \"logical_representation\": [\"2021/09/26\", \"breakfast\", \"toast and cheese\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/09/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7564\", \"logical_representation\": [\"2021/09/26\", \"Nevaeh, Eva, Nora\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva, Nora for 17 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva, Nora in the early evening on 2021/09/26?\", \"17 minutes\"], [\"who did I talk to on 2021/09/26?\", \"Nevaeh, Eva, Nora\"], [\"Did I talk to Nevaeh, Eva, Nora on 2021/09/26?\", \"yes\"], [\"Did I talk to anyone on 2021/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/27\": {\"chat0\": {\"eid\": \"e7565\", \"logical_representation\": [\"2021/09/27\", \"Rylee\", \"during lunch hours\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee during lunch hours on 2021/09/27?\", \"25 minutes\"], [\"who did I talk to on 2021/09/27?\", \"Rylee\"], [\"Did I talk to Rylee on 2021/09/27?\", \"yes\"], [\"Did I talk to anyone on 2021/09/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/28\": {\"chat0\": {\"eid\": \"e7566\", \"logical_representation\": [\"2021/09/28\", \"Layla\", \"during lunch hours\", \"7 minutes\"], \"text_template_based\": \"I talked to Layla for 7 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla during lunch hours on 2021/09/28?\", \"7 minutes\"], [\"who did I talk to on 2021/09/28?\", \"Layla\"], [\"Did I talk to Layla on 2021/09/28?\", \"yes\"], [\"Did I talk to anyone on 2021/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7567\", \"logical_representation\": [\"2021/09/28\", \"a movie\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/09/28?\", \"12 minutes\"], [\"what did I watch on tv on 2021/09/28?\", \"a movie\"], [\"Did I watch tv on 2021/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/29\": {\"dinner\": {\"eid\": \"e7568\", \"logical_representation\": [\"2021/09/29\", \"dinner\", \"a burger\", \"Kayden, Andrew\"], \"text_template_based\": \"I prepare a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/09/29\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7569\", \"logical_representation\": [\"2021/09/29\", \"Nevaeh, Avery, Layla, Olivia\", \"during lunch hours\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Nevaeh, Avery, Layla, Olivia on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Layla, Olivia during lunch hours on 2021/09/29?\", \"36 minutes\"], [\"who did I talk to on 2021/09/29?\", \"Nevaeh, Avery, Layla, Olivia\"], [\"Did I talk to Nevaeh, Avery, Layla, Olivia on 2021/09/29?\", \"yes\"], [\"Did I talk to anyone on 2021/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7570\", \"logical_representation\": [\"2021/09/29\", \"a book\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/09/29?\", \"24 minutes\"], [\"what did I read on 2021/09/29?\", \"a book\"], [\"Did I read on 2021/09/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/09/30\": {\"exercise\": {\"eid\": \"e7571\", \"logical_representation\": [\"2021/09/30\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/09/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/09/30?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2021/10/01\": {\"breakfast\": {\"eid\": \"e7572\", \"logical_representation\": [\"2021/10/01\", \"breakfast\", \"toast and cheese\", \"Emily, Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/01\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2021/10/02\": {\"dinner\": {\"eid\": \"e7573\", \"logical_representation\": [\"2021/10/02\", \"dinner\", \"fish and chips\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/02\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2021/10/03\": {\"lunch\": {\"eid\": \"e7574\", \"logical_representation\": [\"2021/10/03\", \"lunch\", \"fish and chips\", \"Kinsley, Nevaeh, Piper, Claire, Piper, Lydia, Layla, Avery, Rylee, Eva, Nora, Hazel, Olivia\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/10/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2021/10/04\": {\"breakfast\": {\"eid\": \"e7575\", \"logical_representation\": [\"2021/10/04\", \"breakfast\", \"peanut-butter-jam\", \"Olivia\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/04\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7576\", \"logical_representation\": [\"2021/10/04\", \"social media\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/10/04?\", \"43 minutes\"], [\"what did I read on 2021/10/04?\", \"social media\"], [\"Did I read on 2021/10/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/05\": {\"exercise\": {\"eid\": \"e7577\", \"logical_representation\": [\"2021/10/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/10/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7578\", \"logical_representation\": [\"2021/10/05\", \"breakfast\", \"pancakes\", \"Avery, Willow, Jackson\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/05\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7579\", \"logical_representation\": [\"2021/10/05\", \"lunch\", \"sushi\", \"Emily, Kayden\"], \"text_template_based\": \"I had lunch with Emily, Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/10/05?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2021/10/05\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7580\", \"logical_representation\": [\"2021/10/05\", \"dinner\", \"sushi\", \"Claire, Rylee, Eva, Piper, Hazel, Kinsley, Layla, Piper, Olivia, Nevaeh, Nora, Avery, Lydia\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/05\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2021/10/06\": {\"breakfast\": {\"eid\": \"e7581\", \"logical_representation\": [\"2021/10/06\", \"breakfast\", \"peanut-butter-jam\", \"Piper, Rylee\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7582\", \"logical_representation\": [\"2021/10/06\", \"Layla, Avery\", \"during lunch hours\", \"29 minutes\"], \"text_template_based\": \"I spent 29 talking to Layla, Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery during lunch hours on 2021/10/06?\", \"29 minutes\"], [\"who did I talk to on 2021/10/06?\", \"Layla, Avery\"], [\"Did I talk to Layla, Avery on 2021/10/06?\", \"yes\"], [\"Did I talk to anyone on 2021/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/10\": {\"chat0\": {\"eid\": \"e7586\", \"logical_representation\": [\"2021/10/10\", \"Lydia\", \"in the morning\", \"44 minutes\"], \"text_template_based\": \"I talked to Lydia for 44 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia in the morning on 2021/10/10?\", \"44 minutes\"], [\"who did I talk to on 2021/10/10?\", \"Lydia\"], [\"Did I talk to Lydia on 2021/10/10?\", \"yes\"], [\"Did I talk to anyone on 2021/10/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/12\": {\"breakfast\": {\"eid\": \"e7587\", \"logical_representation\": [\"2021/10/12\", \"breakfast\", \"oatmeal\", \"Eva, Rylee\"], \"text_template_based\": \"I had oatmeal for breakfast with Eva, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/10/12?\", \"Eva, Rylee\"], [\"what did I eat for breakfast on 2021/10/12\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7588\", \"logical_representation\": [\"2021/10/12\", \"dinner\", \"fish and chips\", \"Andrew\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7589\", \"logical_representation\": [\"2021/10/12\", \"a book\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2021/10/12?\", \"12 minutes\"], [\"what did I read on 2021/10/12?\", \"a book\"], [\"Did I read on 2021/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7590\", \"logical_representation\": [\"2021/10/12\", \"a tv series\", \"45 minutes\"], \"text_template_based\": \"I watched a tv series for 45 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/12?\", \"45 minutes\"], [\"what did I watch on tv on 2021/10/12?\", \"a tv series\"], [\"Did I watch tv on 2021/10/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/14\": {\"lunch\": {\"eid\": \"e7592\", \"logical_representation\": [\"2021/10/14\", \"lunch\", \"fish and chips\", \"Kayden, Emily\"], \"text_template_based\": \"I had lunch with Kayden, Emily. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/10/14?\", \"Kayden, Emily\"], [\"what did I eat for lunch on 2021/10/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7593\", \"logical_representation\": [\"2021/10/14\", \"social media\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/10/14?\", \"28 minutes\"], [\"what did I read on 2021/10/14?\", \"social media\"], [\"Did I read on 2021/10/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/21\": {\"lunch\": {\"eid\": \"e7598\", \"logical_representation\": [\"2021/10/21\", \"lunch\", \"fish and chips\", \"Kayden, Carter\"], \"text_template_based\": \"I had fish and chips for lunch with Kayden, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/10/21?\", \"Kayden, Carter\"], [\"what did I eat for lunch on 2021/10/21\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7599\", \"logical_representation\": [\"2021/10/21\", \"a tv series\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/21?\", \"51 minutes\"], [\"what did I watch on tv on 2021/10/21?\", \"a tv series\"], [\"Did I watch tv on 2021/10/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/23\": {\"exercise\": {\"eid\": \"e7600\", \"logical_representation\": [\"2021/10/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/10/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/10/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7601\", \"logical_representation\": [\"2021/10/23\", \"lunch\", \"tacos\", \"Jackson, Avery, Willow\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/10/23\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7602\", \"logical_representation\": [\"2021/10/23\", \"Nora, Eva\", \"in the early afternoon\", \"44 minutes\"], \"text_template_based\": \"I spent 44 talking to Nora, Eva on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Eva in the early afternoon on 2021/10/23?\", \"44 minutes\"], [\"who did I talk to on 2021/10/23?\", \"Nora, Eva\"], [\"Did I talk to Nora, Eva on 2021/10/23?\", \"yes\"], [\"Did I talk to anyone on 2021/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/26\": {\"breakfast\": {\"eid\": \"e7608\", \"logical_representation\": [\"2021/10/26\", \"breakfast\", \"peanut-butter-jam\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/10/26\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7609\", \"logical_representation\": [\"2021/10/26\", \"lunch\", \"sandwich\", \"Emily\"], \"text_template_based\": \"I had lunch. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/10/26\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2021/10/29\": {\"watch tv\": {\"eid\": \"e7615\", \"logical_representation\": [\"2021/10/29\", \"news\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/29?\", \"39 minutes\"], [\"what did I watch on tv on 2021/10/29?\", \"news\"], [\"Did I watch tv on 2021/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/10/31\": {\"dinner\": {\"eid\": \"e7619\", \"logical_representation\": [\"2021/10/31\", \"dinner\", \"chinese food\", \"Carter, Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/10/31\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7620\", \"logical_representation\": [\"2021/10/31\", \"news\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/10/31?\", \"50 minutes\"], [\"what did I read on 2021/10/31?\", \"news\"], [\"Did I read on 2021/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7621\", \"logical_representation\": [\"2021/10/31\", \"a movie\", \"39 minutes\"], \"text_template_based\": \"I watched a movie for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/10/31?\", \"39 minutes\"], [\"what did I watch on tv on 2021/10/31?\", \"a movie\"], [\"Did I watch tv on 2021/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/03\": {\"dinner\": {\"eid\": \"e7624\", \"logical_representation\": [\"2021/11/03\", \"dinner\", \"pasta\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/11/03\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2021/11/05\": {\"breakfast\": {\"eid\": \"e7628\", \"logical_representation\": [\"2021/11/05\", \"breakfast\", \"peanut-butter-jam\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Jackson, Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2021/11/05?\", \"Jackson, Benjamin, Avery\"], [\"what did I eat for breakfast on 2021/11/05\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7629\", \"logical_representation\": [\"2021/11/05\", \"news\", \"17 minutes\"], \"text_template_based\": \"I watched news for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/05?\", \"17 minutes\"], [\"what did I watch on tv on 2021/11/05?\", \"news\"], [\"Did I watch tv on 2021/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/06\": {\"breakfast\": {\"eid\": \"e7630\", \"logical_representation\": [\"2021/11/06\", \"breakfast\", \"peanut-butter-jam\", \"Lydia, Claire, Olivia, Hazel, Rylee\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2021/11/06\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2021/11/07\": {\"exercise\": {\"eid\": \"e7631\", \"logical_representation\": [\"2021/11/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2021/11/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7632\", \"logical_representation\": [\"2021/11/07\", \"lunch\", \"a burger\", \"Emily\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/11/07\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7633\", \"logical_representation\": [\"2021/11/07\", \"dinner\", \"sushi\", \"Eva\"], \"text_template_based\": \"I prepare sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/11/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7634\", \"logical_representation\": [\"2021/11/07\", \"Piper, Eva, Layla\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Piper, Eva, Layla on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Layla in the early afternoon on 2021/11/07?\", \"20 minutes\"], [\"who did I talk to on 2021/11/07?\", \"Piper, Eva, Layla\"], [\"Did I talk to Piper, Eva, Layla on 2021/11/07?\", \"yes\"], [\"Did I talk to anyone on 2021/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7635\", \"logical_representation\": [\"2021/11/07\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2021/11/07?\", \"28 minutes\"], [\"what did I read on 2021/11/07?\", \"news\"], [\"Did I read on 2021/11/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/08\": {\"chat0\": {\"eid\": \"e7636\", \"logical_representation\": [\"2021/11/08\", \"Nevaeh, Piper\", \"in the late afternoon\", \"32 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper for 32 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper in the late afternoon on 2021/11/08?\", \"32 minutes\"], [\"who did I talk to on 2021/11/08?\", \"Nevaeh, Piper\"], [\"Did I talk to Nevaeh, Piper on 2021/11/08?\", \"yes\"], [\"Did I talk to anyone on 2021/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/10\": {\"exercise\": {\"eid\": \"e7638\", \"logical_representation\": [\"2021/11/10\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/11/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/10?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7639\", \"logical_representation\": [\"2021/11/10\", \"lunch\", \"tacos\", \"Kayden, Carter, Emily, Andrew\"], \"text_template_based\": \"I had lunch with Kayden, Carter, Emily, Andrew. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2021/11/10?\", \"Kayden, Carter, Emily, Andrew\"], [\"what did I eat for lunch on 2021/11/10\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2021/11/11\": {\"dinner\": {\"eid\": \"e7640\", \"logical_representation\": [\"2021/11/11\", \"dinner\", \"sushi\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Carter. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2021/11/11?\", \"Andrew, Emily, Carter\"], [\"what did I eat for dinner on 2021/11/11\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2021/11/12\": {\"exercise\": {\"eid\": \"e7641\", \"logical_representation\": [\"2021/11/12\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2021/11/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/12?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7642\", \"logical_representation\": [\"2021/11/12\", \"Nevaeh, Piper, Olivia, Nora\", \"late in the evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Nevaeh, Piper, Olivia, Nora on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Olivia, Nora late in the evening on 2021/11/12?\", \"39 minutes\"], [\"who did I talk to on 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\"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/16?\", \"11 minutes\"], [\"what did I watch on tv on 2021/11/16?\", \"news\"], [\"Did I watch tv on 2021/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/18\": {\"lunch\": {\"eid\": \"e7651\", \"logical_representation\": [\"2021/11/18\", \"lunch\", \"sandwich\", \"Carter\"], \"text_template_based\": \"I ate sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2021/11/18\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7652\", \"logical_representation\": [\"2021/11/18\", \"dinner\", \"sushi\", \"Hazel, Piper, Claire, Kinsley, Nora\"], \"text_template_based\": \"I ate sushi for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2021/11/18\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7653\", \"logical_representation\": [\"2021/11/18\", \"social media\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2021/11/18?\", \"52 minutes\"], [\"what did I read on 2021/11/18?\", \"social media\"], [\"Did I read on 2021/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7654\", \"logical_representation\": [\"2021/11/18\", \"news\", \"51 minutes\"], \"text_template_based\": \"I watched news for 51 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/18?\", \"51 minutes\"], [\"what did I watch on tv on 2021/11/18?\", \"news\"], [\"Did I watch tv on 2021/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/19\": {\"exercise\": {\"eid\": \"e7655\", \"logical_representation\": [\"2021/11/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2021/11/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2021/11/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2021/11/20\": {\"watch tv\": {\"eid\": \"e7656\", \"logical_representation\": [\"2021/11/20\", \"a documentary\", \"52 minutes\"], \"text_template_based\": \"I watched a documentary for 52 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2021/11/20?\", \"52 minutes\"], [\"what did I watch on tv on 2021/11/20?\", \"a documentary\"], [\"Did I watch tv on 2021/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2021/11/21\": {\"chat0\": {\"eid\": \"e7657\", \"logical_representation\": [\"2021/11/21\", \"Avery\", \"in the early evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Avery on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2021/11/21?\", \"11 minutes\"], [\"who did I talk to on 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I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/02/24?\", \"Andrew, Emily\"], [\"what did I eat for breakfast on 2022/02/24\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2022/02/26\": {\"dining\": {\"eid\": \"e7713\", \"logical_representation\": [\"2022/02/26\", [\"Emily\", \"Carter\"], \"local food\", \"Fangbang Xi Lu\"], \"text_template_based\": \"I ate local food at Fangbang Xi Lu with Emily, Carter on  2022/02/26 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat local food with at Fangbang Xi Lu ?\", \"Emily, Carter\"], [\"who did I eat local food with?\", \"Emily, Carter\"], [\"where did we eat local food during our trip to Shanghai, China on  2022/02/26?\", \"Fangbang Xi Lu\"], [\"when did we eat local food at Fangbang Xi Lu during our trip to Shanghai, China?\", \"2022/02/26\"], [\"when did we eat at Fangbang Xi Lu?\", \"2022/02/26\"], [\"when did we eat local food?\", \"2022/02/26\"]], \"multihop_qa_pairs\": []}, \"personal_medical_care\": {\"eid\": \"e7715\", \"logical_representation\": [\"2022/02/26\", \"I went for an annual physical checkup on 2022/02/26 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I went for an annual physical checkup on 2022/02/26 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I go for an annual physical checkup in 2022?\", \"2022/02/26\"], [\"where did I go for an annual physical checkup on 2022/02/26\", \"university hospital\"]], \"multihop_qa_pairs\": []}}, \"2022/02/28\": {\"dining\": {\"eid\": \"e7714\", \"logical_representation\": [\"2022/02/28\", [\"Emily\", \"Carter\"], \"Chinese food\", \"Yuyuan Lu junction\"], \"text_template_based\": \"I ate Chinese food at Yuyuan Lu junction with Emily, Carter on  2022/02/28 when I was in Shanghai, China.\", \"text_model_based\": [], \"atomic_qa_pairs\": [[\"who did I eat Chinese food with at Yuyuan Lu junction ?\", \"Emily, Carter\"], [\"who did I eat Chinese food with?\", \"Emily, Carter\"], [\"where did we eat Chinese food during our trip to Shanghai, China on  2022/02/28?\", \"Yuyuan Lu junction\"], [\"when did we eat Chinese food at Yuyuan Lu junction during our trip to Shanghai, China?\", \"2022/02/28\"], [\"when did we eat at Yuyuan Lu junction?\", \"2022/02/28\"], [\"when did we eat Chinese food?\", \"2022/02/28\"]], \"multihop_qa_pairs\": []}, \"child_medical_care\": {\"eid\": \"e7719\", \"logical_representation\": [\"2022/02/28\", \"I took Kayden for his/her  for an annual dental cleaning and checkup on 2022/02/28 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I took Kayden for his/her  for an annual dental cleaning and checkup on 2022/02/28 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Kayden for his/her  for an annual dental cleaning and checkup in 2022?\", \"2022/02/28\"], [\"what did I do on 2022/02/28\", \"I took Kayden for his/her  for an annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7874\", \"logical_representation\": [\"2022/02/28\", \"lunch\", \"fish and chips\", \"Lydia, Eva, Piper, Rylee, Claire, Nora, Piper, Nevaeh, Kinsley, Layla, Hazel, Avery\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/02/28\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7875\", \"logical_representation\": [\"2022/02/28\", \"a movie\", \"27 minutes\"], \"text_template_based\": \"I watched a movie for 27 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/28?\", \"27 minutes\"], [\"what did I watch on tv on 2022/02/28?\", \"a movie\"], [\"Did I watch tv on 2022/02/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/20\": {\"parent_medical_care\": {\"eid\": \"e7716\", \"logical_representation\": [\"2022/11/20\", \"I took my parents for their for an annual physical checkup on 2022/11/20 at the university hospital.\", \"university hospital\"], \"text_template_based\": \"I took my parents for their for an annual physical checkup on 2022/11/20 at the university hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual physical checkup in 2022?\", \"2022/11/20\"], [\"what did I do on 2022/11/20\", \"I took my parents for their for an annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7785\", \"logical_representation\": [\"2022/11/20\", \"I bought some bananas, pears, mineral water, apple juice, mouth wash from the grocery store. I saw Claire, Piper, Piper, Olivia, Avery at the grocery store.\", \"bananas, pears\", \"mineral water, apple juice\", \"mouth wash\", \"Claire, Piper, Piper, Olivia, Avery\"], \"text_template_based\": \"I bought some bananas, pears, mineral water, apple juice, mouth wash from the grocery store. I saw Claire, Piper, Piper, Olivia, Avery at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/11/20?\", \"bananas, pears, mineral water, apple juice, and mouth wash\"], [\"what fruits did I buy from the grocery store on 2022/11/20?\", \"bananas, pears\"], [\"what drinks did I buy from the grocery store on 2022/11/20?\", \"mineral water, apple juice\"], [\"what toiletries did I buy from the grocery store on 2022/11/20?\", \"mouth wash\"], [\"who did I see at the grocery store on 2022/11/20?\", \"Claire, Piper, Piper, Olivia, Avery\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8272\", \"logical_representation\": [\"2022/11/20\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/11/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/20?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8273\", \"logical_representation\": [\"2022/11/20\", \"a book\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/11/20?\", \"5 minutes\"], [\"what did I read on 2022/11/20?\", \"a book\"], [\"Did I read on 2022/11/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/16\": {\"parent_medical_care\": {\"eid\": \"e7717\", \"logical_representation\": [\"2022/10/16\", \"my parents for their and I went for an annual dental cleaning and checkup at the private clinic on 2022/10/16.\", \"private clinic\"], \"text_template_based\": \"my parents for their and I went for an annual dental cleaning and checkup at the private clinic on 2022/10/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with my parents for their for an annual dental cleaning and checkup in 2022?\", \"2022/10/16\"], [\"what did I do on 2022/10/16\", \"I took my parents for their for an  annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7778\", \"logical_representation\": [\"2022/10/16\", \"I bought some blackberries, bananas, cherres, clementines, soda, apple juice, sports drinks, coffee, toilet paper, mouthwash online.\", \"blackberries, bananas, cherres, clementines\", \"soda, apple juice, sports drinks, coffee\", \"toilet paper, mouthwash\", \"Piper, Avery, Kinsley, Lydia, Olivia\"], \"text_template_based\": \"I bought some blackberries, bananas, cherres, clementines, soda, apple juice, sports drinks, coffee, toilet paper, mouthwash online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/10/16?\", \"blackberries, bananas, cherres, clementines, soda, apple juice, sports drinks, coffee, and toilet paper, mouthwash\"], [\"what fruits did I buy online on 2022/10/16?\", \"blackberries, bananas, cherres, clementines\"], [\"what drinks did I buy online on 2022/10/16?\", \"soda, apple juice, sports drinks, coffee\"], [\"what toiletries did I buy online on 2022/10/16?\", \"toilet paper, mouthwash\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8211\", \"logical_representation\": [\"2022/10/16\", \"a movie\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/16?\", \"23 minutes\"], [\"what did I watch on tv on 2022/10/16?\", \"a movie\"], [\"Did I watch tv on 2022/10/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/09\": {\"child_medical_care\": {\"eid\": \"e7718\", \"logical_representation\": [\"2022/09/09\", \"Kayden for his/her  and I went for an annual physical checkup at the university hospital on 2022/09/09.\", \"university hospital\"], \"text_template_based\": \"Kayden for his/her  and I went for an annual physical checkup at the university hospital on 2022/09/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Kayden for his/her  for an annual physical checkup in 2022?\", \"2022/09/09\"], [\"what did I do on 2022/09/09\", \"I took Kayden for his/her  for an  annual physical checkup\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8147\", \"logical_representation\": [\"2022/09/09\", \"dinner\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had dinner with Emily. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/09/09?\", \"Emily\"], [\"what did I eat for dinner on 2022/09/09\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8148\", \"logical_representation\": [\"2022/09/09\", \"Nevaeh, Layla, Rylee, Kinsley\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Layla, Rylee, Kinsley for 26 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla, Rylee, Kinsley in the early afternoon on 2022/09/09?\", \"26 minutes\"], [\"who did I talk to on 2022/09/09?\", \"Nevaeh, Layla, Rylee, Kinsley\"], [\"Did I talk to Nevaeh, Layla, Rylee, Kinsley on 2022/09/09?\", \"yes\"], [\"Did I talk to anyone on 2022/09/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/09\": {\"child_medical_care\": {\"eid\": \"e7720\", \"logical_representation\": [\"2022/08/09\", \"Emily for his/her  and I went for an annual dental cleaning and checkup at the university hospital on 2022/08/09.\", \"university hospital\"], \"text_template_based\": \"Emily for his/her  and I went for an annual dental cleaning and checkup at the university hospital on 2022/08/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Emily for his/her  for an annual dental cleaning and checkup in 2022?\", \"2022/08/09\"], [\"what did I do on 2022/08/09\", \"I took Emily for his/her  for an  annual dental cleaning and checkup\"]], \"multihop_qa_pairs\": []}}, \"2022/10/13\": {\"child_medical_care\": {\"eid\": \"e7721\", \"logical_representation\": [\"2022/10/13\", \"I took Emily for his/her  for an annual vision checkup on 2022/10/13 at the hospital.\", \"hospital\"], \"text_template_based\": \"I took Emily for his/her  for an annual vision checkup on 2022/10/13 at the hospital.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when I go with Emily for his/her  for an annual vision checkup in 2022?\", \"2022/10/13\"], [\"what did I do on 2022/10/13\", \"I took Emily for his/her  for an annual vision checkup\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8206\", \"logical_representation\": [\"2022/10/13\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/10/13.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/13?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8207\", \"logical_representation\": [\"2022/10/13\", \"dinner\", \"a burger\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/10/13\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2022/01/15\": {\"grocery\": {\"eid\": \"e7722\", \"logical_representation\": [\"2022/01/15\", \"I went grocery shopping with Emily, Carter, Andrew, Kayden. I bought some apricots, mango juice, milk, and shaving cream, mouth wash\", \"apricots\", \"mango juice, milk\", \"shaving cream, mouth wash\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping with Emily, Carter, Andrew, Kayden. I bought some apricots, mango juice, milk, and shaving cream, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/01/15?\", \"apricots, mango juice, milk, and shaving cream, mouth wash\"], [\"what fruits did I buy from the grocery store on 2022/01/15?\", \"apricots\"], [\"what drinks did I buy from the grocery store on 2022/01/15?\", \"mango juice, milk\"], [\"what toiletries did I buy from the grocery store on 2022/01/15?\", \"shaving cream, mouth wash\"], [\"who was with me at the grocery store on 2022/01/15?\", \"Emily, Carter, Andrew, Kayden\"]], \"multihop_qa_pairs\": []}}, \"2022/01/20\": {\"grocery\": {\"eid\": \"e7723\", \"logical_representation\": [\"2022/01/20\", \"I went grocery shopping with Carter, Andrew, Kayden, Emily. I bought some blueberries, guava juice, coffee, and paper towel, conditioner\", \"blueberries\", \"guava juice, coffee\", \"paper towel, conditioner\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I went grocery shopping with Carter, Andrew, Kayden, Emily. I bought some blueberries, guava juice, coffee, and paper towel, conditioner\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/01/20?\", \"blueberries, guava juice, coffee, and paper towel, conditioner\"], [\"what fruits did I buy from the grocery store on 2022/01/20?\", \"blueberries\"], [\"what drinks did I buy from the grocery store on 2022/01/20?\", \"guava juice, coffee\"], [\"what toiletries did I buy from the grocery store on 2022/01/20?\", \"paper towel, conditioner\"], [\"who was with me at the grocery store on 2022/01/20?\", \"Carter, Andrew, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7823\", \"logical_representation\": [\"2022/01/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/01/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7824\", \"logical_representation\": [\"2022/01/20\", \"breakfast\", \"cereals\", \"Emily\"], \"text_template_based\": \"I had breakfast with Emily. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/01/20?\", \"Emily\"], [\"what did I eat for breakfast on 2022/01/20\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7825\", \"logical_representation\": [\"2022/01/20\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I watched a movie for 17 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/20?\", \"17 minutes\"], [\"what did I watch on tv on 2022/01/20?\", \"a movie\"], [\"Did I watch tv on 2022/01/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/28\": {\"dating\": {\"eid\": \"e7724\", \"logical_representation\": [\"2022/01/28\", \"Anna\", \"a park\"], \"text_template_based\": \"I went on a date with Anna on 2022/01/28 at a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/01/28\", \"Anna\"], [\"where did I go for the date on 2022/01/28\", \"a park\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7832\", \"logical_representation\": [\"2022/01/28\", \"Piper, Rylee, Hazel\", \"in the early afternoon\", \"27 minutes\"], \"text_template_based\": \"I spent 27 talking to Piper, Rylee, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Rylee, Hazel in the early afternoon on 2022/01/28?\", \"27 minutes\"], [\"who did I talk to on 2022/01/28?\", \"Piper, Rylee, Hazel\"], [\"Did I talk to Piper, Rylee, Hazel on 2022/01/28?\", \"yes\"], [\"Did I talk to anyone on 2022/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7833\", \"logical_representation\": [\"2022/01/28\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I spent 14 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/28?\", \"14 minutes\"], [\"what did I watch on tv on 2022/01/28?\", \"a movie\"], [\"Did I watch tv on 2022/01/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/23\": {\"grocery\": {\"eid\": \"e7725\", \"logical_representation\": [\"2022/01/23\", \"I bought some blackberries, mineral water, body lotion, shaving cream, toilet paper online.\", \"blackberries\", \"mineral water\", \"body lotion, shaving cream, toilet paper\", \"Willow, Jackson\"], \"text_template_based\": \"I bought some blackberries, mineral water, body lotion, shaving cream, toilet paper online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/01/23?\", \"blackberries, mineral water, and body lotion, shaving cream, toilet paper\"], [\"what fruits did I buy online on 2022/01/23?\", \"blackberries\"], [\"what drinks did I buy online on 2022/01/23?\", \"mineral water\"], [\"what toiletries did I buy online on 2022/01/23?\", \"body lotion, shaving cream, toilet paper\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e7829\", \"logical_representation\": [\"2022/01/23\", \"running\"], \"text_template_based\": \"I did running on 2022/01/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/23?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2022/01/25\": {\"grocery\": {\"eid\": \"e7726\", \"logical_representation\": [\"2022/01/25\", \"I went grocery shopping with Willow, Jackson. I bought some peaches, apricots, raspberries, watermelons, soda, orange juice, pineapple juice, mineral water, and toothbrush, shampoo, mouthwash, mouth wash\", \"peaches, apricots, raspberries, watermelons\", \"soda, orange juice, pineapple juice, mineral water\", \"toothbrush, shampoo, mouthwash, mouth wash\", \"Willow, Jackson\"], \"text_template_based\": \"I went grocery shopping with Willow, Jackson. I bought some peaches, apricots, raspberries, watermelons, soda, orange juice, pineapple juice, mineral water, and toothbrush, shampoo, mouthwash, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/01/25?\", \"peaches, apricots, raspberries, watermelons, soda, orange juice, pineapple juice, mineral water, and toothbrush, shampoo, mouthwash, mouth wash\"], [\"what fruits did I buy from the grocery store on 2022/01/25?\", \"peaches, apricots, raspberries, watermelons\"], [\"what drinks did I buy from the grocery store on 2022/01/25?\", \"soda, orange juice, pineapple juice, mineral water\"], [\"what toiletries did I buy from the grocery store on 2022/01/25?\", \"toothbrush, shampoo, mouthwash, mouth wash\"], [\"who was with me at the grocery store on 2022/01/25?\", \"Willow, Jackson\"]], \"multihop_qa_pairs\": []}}, \"2022/01/31\": {\"hobbies\": {\"eid\": \"e7727\", \"logical_representation\": [\"2022/01/31\", \"I really enjoyed learning a language on 2022/01/31\", \"learning a language\", \"Carter, Andrew\"], \"text_template_based\": \"I really enjoyed learning a language on 2022/01/31\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2022/01/31\"], [\"On 2022/01/31, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7837\", \"logical_representation\": [\"2022/01/31\", \"breakfast\", \"pancakes\", \"Carter, Emily, Andrew\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/01/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7838\", \"logical_representation\": [\"2022/01/31\", \"Hazel\", \"in the morning\", \"14 minutes\"], \"text_template_based\": \"I talked to Hazel for 14 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the morning on 2022/01/31?\", \"14 minutes\"], [\"who did I talk to on 2022/01/31?\", \"Hazel\"], [\"Did I talk to Hazel on 2022/01/31?\", \"yes\"], [\"Did I talk to anyone on 2022/01/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/17\": {\"dating\": {\"eid\": \"e7728\", \"logical_representation\": [\"2022/02/17\", \"Paisley\", \"a restaurant\"], \"text_template_based\": \"On 2022/02/17, I took Paisley on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/02/17\", \"Paisley\"], [\"where did I go for the date on 2022/02/17\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7860\", \"logical_representation\": [\"2022/02/17\", \"breakfast\", \"cereals\", \"Avery, Benjamin, Willow, Jackson\"], \"text_template_based\": \"I had breakfast with Avery, Benjamin, Willow, Jackson. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/02/17?\", \"Avery, Benjamin, Willow, Jackson\"], [\"what did I eat for breakfast on 2022/02/17\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2022/02/18\": {\"grocery\": {\"eid\": \"e7729\", \"logical_representation\": [\"2022/02/18\", \"I bought some watermelons, strawberries, milk, sports drinks, toothbrush, body lotion, mouthwash, conditioner online.\", \"watermelons, strawberries\", \"milk, sports drinks\", \"toothbrush, body lotion, mouthwash, conditioner\", \"Benjamin, Jackson, Willow\"], \"text_template_based\": \"I bought some watermelons, strawberries, milk, sports drinks, toothbrush, body lotion, mouthwash, conditioner online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/02/18?\", \"watermelons, strawberries, milk, sports drinks, and toothbrush, body lotion, mouthwash, conditioner\"], [\"what fruits did I buy online on 2022/02/18?\", \"watermelons, strawberries\"], [\"what drinks did I buy online on 2022/02/18?\", \"milk, sports drinks\"], [\"what toiletries did I buy online on 2022/02/18?\", \"toothbrush, body lotion, mouthwash, conditioner\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7861\", \"logical_representation\": [\"2022/02/18\", \"breakfast\", \"cereals\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/18\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7862\", \"logical_representation\": [\"2022/02/18\", \"Piper, Kinsley, Rylee\", \"in the early evening\", \"6 minutes\"], \"text_template_based\": \"I talked to Piper, Kinsley, Rylee for 6 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Kinsley, Rylee in the early evening on 2022/02/18?\", \"6 minutes\"], [\"who did I talk to on 2022/02/18?\", \"Piper, Kinsley, Rylee\"], [\"Did I talk to Piper, Kinsley, Rylee on 2022/02/18?\", \"yes\"], [\"Did I talk to anyone on 2022/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7863\", \"logical_representation\": [\"2022/02/18\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/02/18?\", \"55 minutes\"], [\"what did I read on 2022/02/18?\", \"news\"], [\"Did I read on 2022/02/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/27\": {\"dating\": {\"eid\": \"e7731\", \"logical_representation\": [\"2022/02/27\", \"Amelia\", \"a boba shop\"], \"text_template_based\": \"On 2022/02/27, I took Amelia on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/02/27\", \"Amelia\"], [\"where did I go for the date on 2022/02/27\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7872\", \"logical_representation\": [\"2022/02/27\", \"dinner\", \"pasta\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I had dinner with Benjamin, Willow, Avery, Jackson. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/02/27?\", \"Benjamin, Willow, Avery, Jackson\"], [\"what did I eat for dinner on 2022/02/27\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7873\", \"logical_representation\": [\"2022/02/27\", \"social media\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/02/27?\", \"30 minutes\"], [\"what did I read on 2022/02/27?\", \"social media\"], [\"Did I read on 2022/02/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/04\": {\"dating\": {\"eid\": \"e7732\", \"logical_representation\": [\"2022/03/04\", \"Jeremiah\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Jeremiah on 2022/03/04 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/03/04\", \"Jeremiah\"], [\"where did I go for the date on 2022/03/04\", \"a boba shop\"]], \"multihop_qa_pairs\": []}}, \"2022/03/09\": {\"hobbies\": {\"eid\": \"e7733\", \"logical_representation\": [\"2022/03/09\", \"I spent time gardening on 2022/03/09 with Kinsley.\", \"gardening\", \"Kinsley\"], \"text_template_based\": \"I spent time gardening on 2022/03/09 with Kinsley.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on gardening with Kinsley?\", \"2022/03/09\"], [\"On 2022/03/09, which hobby did I spend time on?\", \"gardening\"], [\"who was with me when I was spending time on gardening on 2022/03/09?\", \"Kinsley\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7886\", \"logical_representation\": [\"2022/03/09\", \"news\", \"13 minutes\"], \"text_template_based\": \"I watched news for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/09?\", \"13 minutes\"], [\"what did I watch on tv on 2022/03/09?\", \"news\"], [\"Did I watch tv on 2022/03/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/05\": {\"grocery\": {\"eid\": \"e7734\", \"logical_representation\": [\"2022/03/05\", \"I went grocery shopping. I bought some blackberries, oranges, pears, pineapple juice, milk, coffee, mineral water, and shaving cream\", \"blackberries, oranges, pears\", \"pineapple juice, milk, coffee, mineral water\", \"shaving cream\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I went grocery shopping. I bought some blackberries, oranges, pears, pineapple juice, milk, coffee, mineral water, and shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/03/05?\", \"blackberries, oranges, pears, pineapple juice, milk, coffee, mineral water, and shaving cream\"], [\"what fruits did I buy from the grocery store on 2022/03/05?\", \"blackberries, oranges, pears\"], [\"what drinks did I buy from the grocery store on 2022/03/05?\", \"pineapple juice, milk, coffee, mineral water\"], [\"what toiletries did I buy from the grocery store on 2022/03/05?\", \"shaving cream\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7881\", \"logical_representation\": [\"2022/03/05\", \"Kinsley, Piper, Piper\", \"in the morning\", \"6 minutes\"], \"text_template_based\": \"I talked to Kinsley, Piper, Piper for 6 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Piper, Piper in the morning on 2022/03/05?\", \"6 minutes\"], [\"who did I talk to on 2022/03/05?\", \"Kinsley, Piper, Piper\"], [\"Did I talk to Kinsley, Piper, Piper on 2022/03/05?\", \"yes\"], [\"Did I talk to anyone on 2022/03/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/24\": {\"hobbies\": {\"eid\": \"e7735\", \"logical_representation\": [\"2022/03/24\", \"I spent time yoga on 2022/03/24 with Emily.\", \"yoga\", \"Emily\"], \"text_template_based\": \"I spent time yoga on 2022/03/24 with Emily.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Emily?\", \"2022/03/24\"], [\"On 2022/03/24, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2022/03/24?\", \"Emily\"]], \"multihop_qa_pairs\": []}}, \"2022/03/25\": {\"grocery\": {\"eid\": \"e7736\", \"logical_representation\": [\"2022/03/25\", \"I went grocery shopping. I bought some blueberries, milk, guava juice, mango juice, and mouth wash, toothbrush, mouthwash\", \"blueberries\", \"milk, guava juice, mango juice\", \"mouth wash, toothbrush, mouthwash\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some blueberries, milk, guava juice, mango juice, and mouth wash, toothbrush, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/03/25?\", \"blueberries, milk, guava juice, mango juice, and mouth wash, toothbrush, mouthwash\"], [\"what fruits did I buy from the grocery store on 2022/03/25?\", \"blueberries\"], [\"what drinks did I buy from the grocery store on 2022/03/25?\", \"milk, guava juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2022/03/25?\", \"mouth wash, toothbrush, mouthwash\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7909\", \"logical_representation\": [\"2022/03/25\", \"breakfast\", \"cereals\", \"Lydia, Kinsley, Layla, Hazel, Rylee, Piper, Nevaeh, Olivia, Claire, Piper, Eva, Avery\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/25\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2022/03/29\": {\"dating\": {\"eid\": \"e7737\", \"logical_representation\": [\"2022/03/29\", \"Hudson\", \"a coffee Shop\"], \"text_template_based\": \"On 2022/03/29, I took Hudson on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/03/29\", \"Hudson\"], [\"where did I go for the date on 2022/03/29\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7913\", \"logical_representation\": [\"2022/03/29\", \"lunch\", \"indian food\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I had lunch with Jackson, Willow, Benjamin, Avery. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/03/29?\", \"Jackson, Willow, Benjamin, Avery\"], [\"what did I eat for lunch on 2022/03/29\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7914\", \"logical_representation\": [\"2022/03/29\", \"news\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/03/29?\", \"46 minutes\"], [\"what did I read on 2022/03/29?\", \"news\"], [\"Did I read on 2022/03/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/31\": {\"grocery\": {\"eid\": \"e7738\", \"logical_representation\": [\"2022/03/31\", \"I bought some pears, apricots, mineral water, milk, body lotion, paper towel, shampoo, toothbrush from the grocery store. I saw Claire, Nora, Olivia, Hazel, Lydia, Avery, Eva, Layla, Rylee, Piper, Kinsley, Piper at the grocery store.\", \"pears, apricots\", \"mineral water, milk\", \"body lotion, paper towel, shampoo, toothbrush\", \"Claire, Nora, Olivia, Hazel, Lydia, Avery, Eva, Layla, Rylee, Piper, Kinsley, Piper\"], \"text_template_based\": \"I bought some pears, apricots, mineral water, milk, body lotion, paper towel, shampoo, toothbrush from the grocery store. I saw Claire, Nora, Olivia, Hazel, Lydia, Avery, Eva, Layla, Rylee, Piper, Kinsley, Piper at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/03/31?\", \"pears, apricots, mineral water, milk, and body lotion, paper towel, shampoo, toothbrush\"], [\"what fruits did I buy from the grocery store on 2022/03/31?\", \"pears, apricots\"], [\"what drinks did I buy from the grocery store on 2022/03/31?\", \"mineral water, milk\"], [\"what toiletries did I buy from the grocery store on 2022/03/31?\", \"body lotion, paper towel, shampoo, toothbrush\"], [\"who did I see at the grocery store on 2022/03/31?\", \"Claire, Nora, Olivia, Hazel, Lydia, Avery, Eva, Layla, Rylee, Piper, Kinsley, Piper\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7915\", \"logical_representation\": [\"2022/03/31\", \"breakfast\", \"peanut-butter-jam\", \"Claire, Kinsley, Avery, Layla, Nora, Nevaeh, Piper, Piper, Lydia\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/31\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2022/04/11\": {\"dating\": {\"eid\": \"e7739\", \"logical_representation\": [\"2022/04/11\", \"Parker\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Parker on 2022/04/11 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/04/11\", \"Parker\"], [\"where did I go for the date on 2022/04/11\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7928\", \"logical_representation\": [\"2022/04/11\", \"breakfast\", \"oatmeal\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I had oatmeal for breakfast with Benjamin, Jackson, Willow, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/04/11?\", \"Benjamin, Jackson, Willow, Avery\"], [\"what did I eat for breakfast on 2022/04/11\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7929\", \"logical_representation\": [\"2022/04/11\", \"dinner\", \"fish and chips\", \"Avery\"], \"text_template_based\": \"I had fish and chips for dinner with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/04/11?\", \"Avery\"], [\"what did I eat for dinner on 2022/04/11\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7930\", \"logical_representation\": [\"2022/04/11\", \"Rylee\", \"in the morning\", \"28 minutes\"], \"text_template_based\": \"I talked to Rylee for 28 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the morning on 2022/04/11?\", \"28 minutes\"], [\"who did I talk to on 2022/04/11?\", \"Rylee\"], [\"Did I talk to Rylee on 2022/04/11?\", \"yes\"], [\"Did I talk to anyone on 2022/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7931\", \"logical_representation\": [\"2022/04/11\", \"a book\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/04/11?\", \"17 minutes\"], [\"what did I read on 2022/04/11?\", \"a book\"], [\"Did I read on 2022/04/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/15\": {\"dating\": {\"eid\": \"e7740\", \"logical_representation\": [\"2022/04/15\", \"Grace\", \"a coffee Shop\"], \"text_template_based\": \"I went on a date with Grace on 2022/04/15 at a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/04/15\", \"Grace\"], [\"where did I go for the date on 2022/04/15\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7936\", \"logical_representation\": [\"2022/04/15\", \"breakfast\", \"cereals\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I had breakfast with Emily, Carter, Andrew. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/04/15?\", \"Emily, Carter, Andrew\"], [\"what did I eat for breakfast on 2022/04/15\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7937\", \"logical_representation\": [\"2022/04/15\", \"dinner\", \"indian food\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I had dinner with Kayden, Andrew, Carter, Emily. 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\"breakfast\", \"peanut-butter-jam\", \"Kinsley, Nevaeh, Eva, Hazel, Olivia, Claire, Avery, Piper, Rylee, Nora, Piper, Lydia\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kinsley, Nevaeh, Eva, Hazel, Olivia, Claire, Avery, Piper, Rylee, Nora, Piper, Lydia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/06/27?\", \"Kinsley, Nevaeh, Eva, Hazel, Olivia, Claire, Avery, Piper, Rylee, Nora, Piper, Lydia\"], [\"what did I eat for breakfast on 2022/06/27\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2022/07/01\": {\"grocery\": {\"eid\": \"e7758\", \"logical_representation\": [\"2022/07/01\", \"I went grocery shopping with Jackson, Benjamin, Avery. I bought some strawberries, apples, blueberries, pineapples, sports drinks, pineapple juice, and toothpaste, toothbrush\", \"strawberries, apples, blueberries, pineapples\", \"sports drinks, pineapple juice\", \"toothpaste, toothbrush\", \"Jackson, Benjamin, Avery\"], \"text_template_based\": \"I went grocery shopping with Jackson, Benjamin, Avery. I bought some strawberries, apples, blueberries, pineapples, sports drinks, pineapple juice, and toothpaste, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/07/01?\", \"strawberries, apples, blueberries, pineapples, sports drinks, pineapple juice, and toothpaste, toothbrush\"], [\"what fruits did I buy from the grocery store on 2022/07/01?\", \"strawberries, apples, blueberries, pineapples\"], [\"what drinks did I buy from the grocery store on 2022/07/01?\", \"sports drinks, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2022/07/01?\", \"toothpaste, toothbrush\"], [\"who was with me at the grocery store on 2022/07/01?\", \"Jackson, Benjamin, Avery\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8045\", \"logical_representation\": [\"2022/07/01\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Carter, Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/07/01?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for breakfast on 2022/07/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8046\", \"logical_representation\": [\"2022/07/01\", \"dinner\", \"pasta\", \"Andrew\"], \"text_template_based\": \"I had pasta for dinner with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/07/01?\", \"Andrew\"], [\"what did I eat for dinner on 2022/07/01\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8047\", \"logical_representation\": [\"2022/07/01\", \"Avery, Hazel\", \"in the early afternoon\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Avery, Hazel on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel in the early afternoon on 2022/07/01?\", \"9 minutes\"], [\"who did I talk to on 2022/07/01?\", \"Avery, Hazel\"], [\"Did I talk to Avery, Hazel on 2022/07/01?\", \"yes\"], [\"Did I talk to anyone on 2022/07/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/09\": {\"dating\": {\"eid\": \"e7759\", \"logical_representation\": [\"2022/07/09\", \"Alon\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Alon on 2022/07/09 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/07/09\", \"Alon\"], [\"where did I go for the date on 2022/07/09\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8061\", \"logical_representation\": [\"2022/07/09\", \"dinner\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/07/09\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8062\", \"logical_representation\": [\"2022/07/09\", \"news\", \"28 minutes\"], \"text_template_based\": \"I spent 28 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/09?\", \"28 minutes\"], [\"what did I watch on tv on 2022/07/09?\", \"news\"], [\"Did I watch tv on 2022/07/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/14\": {\"dating\": {\"eid\": \"e7760\", \"logical_representation\": [\"2022/07/14\", \"Quinn\", \"a restaurant\"], \"text_template_based\": \"On 2022/07/14, I took Quinn on a date to a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/07/14\", \"Quinn\"], [\"where did I go for the date on 2022/07/14\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8068\", \"logical_representation\": [\"2022/07/14\", \"Piper, Claire, Hazel, Eva\", \"in the morning\", \"5 minutes\"], \"text_template_based\": \"I talked to Piper, Claire, Hazel, Eva for 5 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Claire, Hazel, Eva in the morning on 2022/07/14?\", \"5 minutes\"], [\"who did I talk to on 2022/07/14?\", \"Piper, Claire, Hazel, Eva\"], [\"Did I talk to Piper, Claire, Hazel, Eva on 2022/07/14?\", \"yes\"], [\"Did I talk to anyone on 2022/07/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/11\": {\"grocery\": {\"eid\": \"e7761\", \"logical_representation\": [\"2022/07/11\", \"I went grocery shopping with Emily, Carter, Andrew. I bought some oranges, sports drinks, apple juice, mango juice, and toilet paper, facial wash, toothpaste\", \"oranges\", \"sports drinks, apple juice, mango juice\", \"toilet paper, facial wash, toothpaste\", \"Emily, Carter, Andrew\"], \"text_template_based\": \"I went grocery shopping with Emily, Carter, Andrew. I bought some oranges, sports drinks, apple juice, mango juice, and toilet paper, facial wash, toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/07/11?\", \"oranges, sports drinks, apple juice, mango juice, and toilet paper, facial wash, toothpaste\"], [\"what fruits did I buy from the grocery store on 2022/07/11?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2022/07/11?\", \"sports drinks, apple juice, mango juice\"], [\"what toiletries did I buy from the grocery store on 2022/07/11?\", \"toilet paper, facial wash, toothpaste\"], [\"who was with me at the grocery store on 2022/07/11?\", \"Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8064\", \"logical_representation\": [\"2022/07/11\", \"breakfast\", \"eggs, sausages, and bread\", \"Claire, Lydia, Avery, Nora, Olivia, Kinsley, Rylee, Piper, Layla, Nevaeh, Hazel, Piper, Eva\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/07/11\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8065\", \"logical_representation\": [\"2022/07/11\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/07/11?\", \"32 minutes\"], [\"what did I read on 2022/07/11?\", \"news\"], [\"Did I read on 2022/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8066\", \"logical_representation\": [\"2022/07/11\", \"a movie\", \"11 minutes\"], \"text_template_based\": \"I spent 11 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/11?\", \"11 minutes\"], [\"what did I watch on tv on 2022/07/11?\", \"a movie\"], [\"Did I watch tv on 2022/07/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/18\": {\"grocery\": {\"eid\": \"e7762\", \"logical_representation\": [\"2022/07/18\", \"I bought some watermelons, raspberries, chocolate milk, pineapple juice, tea, toothpaste, paper towel, shampoo online.\", \"watermelons, raspberries\", \"chocolate milk, pineapple juice, tea\", \"toothpaste, paper towel, shampoo\", \"Avery, Benjamin\"], \"text_template_based\": \"I bought some watermelons, raspberries, chocolate milk, pineapple juice, tea, toothpaste, paper towel, shampoo online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/07/18?\", \"watermelons, raspberries, chocolate milk, pineapple juice, tea, and toothpaste, paper towel, shampoo\"], [\"what fruits did I buy online on 2022/07/18?\", \"watermelons, raspberries\"], [\"what drinks did I buy online on 2022/07/18?\", \"chocolate milk, pineapple juice, tea\"], [\"what toiletries did I buy online on 2022/07/18?\", \"toothpaste, paper towel, shampoo\"]], \"multihop_qa_pairs\": []}}, \"2022/07/25\": {\"grocery\": {\"eid\": \"e7763\", \"logical_representation\": [\"2022/07/25\", \"I went grocery shopping. I bought some nectarines, blueberries, apricots, pineapples, coffee, mango juice, tea, pineapple juice, and toothbrush\", \"nectarines, blueberries, apricots, pineapples\", \"coffee, mango juice, tea, pineapple juice\", \"toothbrush\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some nectarines, blueberries, apricots, pineapples, coffee, mango juice, tea, pineapple juice, and toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/07/25?\", \"nectarines, blueberries, apricots, pineapples, coffee, mango juice, tea, pineapple juice, and toothbrush\"], [\"what fruits did I buy from the grocery store on 2022/07/25?\", \"nectarines, blueberries, apricots, pineapples\"], [\"what drinks did I buy from the grocery store on 2022/07/25?\", \"coffee, mango juice, tea, pineapple juice\"], [\"what toiletries did I buy from the grocery store on 2022/07/25?\", \"toothbrush\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8079\", \"logical_representation\": [\"2022/07/25\", \"Lydia, Layla\", \"in the late afternoon\", \"14 minutes\"], \"text_template_based\": \"I talked to Lydia, Layla for 14 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Layla in the late afternoon on 2022/07/25?\", \"14 minutes\"], [\"who did I talk to on 2022/07/25?\", \"Lydia, Layla\"], [\"Did I talk to Lydia, Layla on 2022/07/25?\", \"yes\"], [\"Did I talk to anyone on 2022/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8080\", \"logical_representation\": [\"2022/07/25\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/25?\", \"17 minutes\"], [\"what did I watch on tv on 2022/07/25?\", \"news\"], [\"Did I watch tv on 2022/07/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/03\": {\"dating\": {\"eid\": \"e7764\", \"logical_representation\": [\"2022/08/03\", \"Scarlett\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Scarlett on 2022/08/03 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/08/03\", \"Scarlett\"], [\"where did I go for the date on 2022/08/03\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8090\", \"logical_representation\": [\"2022/08/03\", \"Layla\", \"in the early afternoon\", \"17 minutes\"], \"text_template_based\": \"I talked to Layla for 17 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla in the early afternoon on 2022/08/03?\", \"17 minutes\"], [\"who did I talk to on 2022/08/03?\", \"Layla\"], [\"Did I talk to Layla on 2022/08/03?\", \"yes\"], [\"Did I talk to anyone on 2022/08/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/05\": {\"grocery\": {\"eid\": \"e7765\", \"logical_representation\": [\"2022/08/05\", \"I went grocery shopping with Carter, Emily. I bought some mandarins, apples, pineapple juice, apple juice, and toothpaste\", \"mandarins, apples\", \"pineapple juice, apple juice\", \"toothpaste\", \"Carter, Emily\"], \"text_template_based\": \"I went grocery shopping with Carter, Emily. I bought some mandarins, apples, pineapple juice, apple juice, and toothpaste\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/08/05?\", \"mandarins, apples, pineapple juice, apple juice, and toothpaste\"], [\"what fruits did I buy from the grocery store on 2022/08/05?\", \"mandarins, apples\"], [\"what drinks did I buy from the grocery store on 2022/08/05?\", \"pineapple juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2022/08/05?\", \"toothpaste\"], [\"who was with me at the grocery store on 2022/08/05?\", \"Carter, Emily\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8092\", \"logical_representation\": [\"2022/08/05\", \"a book\", \"18 minutes\"], \"text_template_based\": \"I spent 18 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/08/05?\", \"18 minutes\"], [\"what did I read on 2022/08/05?\", \"a book\"], [\"Did I read on 2022/08/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/06\": {\"dating\": {\"eid\": \"e7766\", \"logical_representation\": [\"2022/08/06\", \"Gabriel\", \"a boba shop\"], \"text_template_based\": \"I went on a date with Gabriel on 2022/08/06 at a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/08/06\", \"Gabriel\"], [\"where did I go for the date on 2022/08/06\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8093\", \"logical_representation\": [\"2022/08/06\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/08/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/06?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8094\", \"logical_representation\": [\"2022/08/06\", \"breakfast\", \"pancakes\", \"Emily, Andrew, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/06\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8095\", \"logical_representation\": [\"2022/08/06\", \"lunch\", \"sushi\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/08/06?\", \"Emily\"], [\"what did I eat for lunch on 2022/08/06\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8096\", \"logical_representation\": [\"2022/08/06\", \"dinner\", \"a burger\", \"Andrew, Carter\"], \"text_template_based\": \"I had a burger for dinner with Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/08/06?\", \"Andrew, Carter\"], [\"what did I eat for dinner on 2022/08/06\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2022/08/12\": {\"grocery\": {\"eid\": \"e7767\", \"logical_representation\": [\"2022/08/12\", \"I went grocery shopping with Andrew, Emily. I bought some apples, guava, raspberries, pears, orange juice, and body lotion, toilet paper\", \"apples, guava, raspberries, pears\", \"orange juice\", \"body lotion, toilet paper\", \"Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping with Andrew, Emily. I bought some apples, guava, raspberries, pears, orange juice, and body lotion, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/08/12?\", \"apples, guava, raspberries, pears, orange juice, and body lotion, toilet paper\"], [\"what fruits did I buy from the grocery store on 2022/08/12?\", \"apples, guava, raspberries, pears\"], [\"what drinks did I buy from the grocery store on 2022/08/12?\", \"orange juice\"], [\"what toiletries did I buy from the grocery store on 2022/08/12?\", \"body lotion, toilet paper\"], [\"who was with me at the grocery store on 2022/08/12?\", \"Andrew, Emily\"]], \"multihop_qa_pairs\": []}}, \"2022/08/13\": {\"grocery\": {\"eid\": \"e7768\", \"logical_representation\": [\"2022/08/13\", \"I went grocery shopping. I bought some blueberries, blackberries, oranges, sports drinks, coffee, and shampoo, shaving cream\", \"blueberries, blackberries, oranges\", \"sports drinks, coffee\", \"shampoo, shaving cream\", \"Kayden, Carter, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping. I bought some blueberries, blackberries, oranges, sports drinks, coffee, and shampoo, shaving cream\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/08/13?\", \"blueberries, blackberries, oranges, sports drinks, coffee, and shampoo, shaving cream\"], [\"what fruits did I buy from the grocery store on 2022/08/13?\", \"blueberries, blackberries, oranges\"], [\"what drinks did I buy from the grocery store on 2022/08/13?\", \"sports drinks, coffee\"], [\"what toiletries did I buy from the grocery store on 2022/08/13?\", \"shampoo, shaving cream\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8106\", \"logical_representation\": [\"2022/08/13\", \"Layla, Claire, Rylee, Piper\", \"in the late afternoon\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Layla, Claire, Rylee, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Claire, Rylee, Piper in the late afternoon on 2022/08/13?\", \"39 minutes\"], [\"who did I talk to on 2022/08/13?\", \"Layla, Claire, Rylee, Piper\"], [\"Did I talk to Layla, Claire, Rylee, Piper on 2022/08/13?\", \"yes\"], [\"Did I talk to anyone on 2022/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8107\", \"logical_representation\": [\"2022/08/13\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/08/13?\", \"32 minutes\"], [\"what did I read on 2022/08/13?\", \"news\"], [\"Did I read on 2022/08/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/22\": {\"bake\": {\"eid\": \"e7769\", \"logical_representation\": [\"2022/08/22\", \"I entertained Carter, Andrew, Kayden, Emily at my place on 2022/08/22 and bake cinnamon sheet cake with cider frosting\", \"bake\", \"cinnamon sheet cake with cider frosting\", \"Carter, Andrew, Kayden, Emily\", \"my place\"], \"text_template_based\": \"I entertained Carter, Andrew, Kayden, Emily at my place on 2022/08/22 and bake cinnamon sheet cake with cider frosting\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake cinnamon sheet cake with cider frosting with Carter, Andrew, Kayden, Emily?\", \"2022/08/22\"], [\"what did I bake on 2022/08/22?\", \"cinnamon sheet cake with cider frosting\"], [\"who was I with when I  cinnamon sheet cake with cider frosting on 2022/08/22?\", \"Carter, Andrew, Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8115\", \"logical_representation\": [\"2022/08/22\", \"a tv series\", \"12 minutes\"], \"text_template_based\": \"I watched a tv series for 12 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/22?\", \"12 minutes\"], [\"what did I watch on tv on 2022/08/22?\", \"a tv series\"], [\"Did I watch tv on 2022/08/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/25\": {\"grocery\": {\"eid\": \"e7770\", \"logical_representation\": [\"2022/08/25\", \"I bought some guava, apples, mango juice, pineapple juice, guava juice, milk, facial wash, toilet paper, conditioner, toothbrush from the grocery store. I saw Jackson, Benjamin at the grocery store.\", \"guava, apples\", \"mango juice, pineapple juice, guava juice, milk\", \"facial wash, toilet paper, conditioner, toothbrush\", \"Jackson, Benjamin\"], \"text_template_based\": \"I bought some guava, apples, mango juice, pineapple juice, guava juice, milk, facial wash, toilet paper, conditioner, toothbrush from the grocery store. I saw Jackson, Benjamin at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/08/25?\", \"guava, apples, mango juice, pineapple juice, guava juice, milk, and facial wash, toilet paper, conditioner, toothbrush\"], [\"what fruits did I buy from the grocery store on 2022/08/25?\", \"guava, apples\"], [\"what drinks did I buy from the grocery store on 2022/08/25?\", \"mango juice, pineapple juice, guava juice, milk\"], [\"what toiletries did I buy from the grocery store on 2022/08/25?\", \"facial wash, toilet paper, conditioner, toothbrush\"], [\"who did I see at the grocery store on 2022/08/25?\", \"Jackson, Benjamin\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8117\", \"logical_representation\": [\"2022/08/25\", \"lunch\", \"tacos\", \"Carter\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/08/25\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8118\", \"logical_representation\": [\"2022/08/25\", \"a book\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/08/25?\", \"38 minutes\"], [\"what did I read on 2022/08/25?\", \"a book\"], [\"Did I read on 2022/08/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/01\": {\"dating\": {\"eid\": \"e7771\", \"logical_representation\": [\"2022/09/01\", \"Camila\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Camila on 2022/09/01 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/09/01\", \"Camila\"], [\"where did I go for the date on 2022/09/01\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8132\", \"logical_representation\": [\"2022/09/01\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/01\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8133\", \"logical_representation\": [\"2022/09/01\", \"lunch\", \"a burger\", \"Carter, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Kayden. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/01?\", \"Carter, Kayden\"], [\"what did I eat for lunch on 2022/09/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8134\", \"logical_representation\": [\"2022/09/01\", \"Nora\", \"in the early afternoon\", \"10 minutes\"], \"text_template_based\": \"I talked to Nora for 10 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early afternoon on 2022/09/01?\", \"10 minutes\"], [\"who did I talk to on 2022/09/01?\", \"Nora\"], [\"Did I talk to Nora on 2022/09/01?\", \"yes\"], [\"Did I talk to anyone on 2022/09/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/02\": {\"hobbies\": {\"eid\": \"e7772\", \"logical_representation\": [\"2022/09/02\", \"I spent time learning a language on 2022/09/02 with Lydia.\", \"learning a language\", \"Lydia\"], \"text_template_based\": \"I spent time learning a language on 2022/09/02 with Lydia.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on learning a language with Lydia?\", \"2022/09/02\"], [\"On 2022/09/02, which hobby did I spend time on?\", \"learning a language\"], [\"who was with me when I was spending time on learning a language on 2022/09/02?\", \"Lydia\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8135\", \"logical_representation\": [\"2022/09/02\", \"lunch\", \"tacos\", \"Claire, Piper, Hazel, Lydia\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/02\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8136\", \"logical_representation\": [\"2022/09/02\", \"Hazel\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the late afternoon on 2022/09/02?\", \"37 minutes\"], [\"who did I talk to on 2022/09/02?\", \"Hazel\"], [\"Did I talk to Hazel on 2022/09/02?\", \"yes\"], [\"Did I talk to anyone on 2022/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8137\", \"logical_representation\": [\"2022/09/02\", \"news\", \"20 minutes\"], \"text_template_based\": \"I spent 20 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/02?\", \"20 minutes\"], [\"what did I watch on tv on 2022/09/02?\", \"news\"], [\"Did I watch tv on 2022/09/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/30\": {\"grocery\": {\"eid\": \"e7773\", \"logical_representation\": [\"2022/08/30\", \"I went grocery shopping with Carter, Kayden, Andrew, Emily. I bought some nectarines, tea, pineapple juice, soda, and toothpaste, toothbrush\", \"nectarines\", \"tea, pineapple juice, soda\", \"toothpaste, toothbrush\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I went grocery shopping with Carter, Kayden, Andrew, Emily. I bought some nectarines, tea, pineapple juice, soda, and toothpaste, toothbrush\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/08/30?\", \"nectarines, tea, pineapple juice, soda, and toothpaste, toothbrush\"], [\"what fruits did I buy from the grocery store on 2022/08/30?\", \"nectarines\"], [\"what drinks did I buy from the grocery store on 2022/08/30?\", \"tea, pineapple juice, soda\"], [\"what toiletries did I buy from the grocery store on 2022/08/30?\", \"toothpaste, toothbrush\"], [\"who was with me at the grocery store on 2022/08/30?\", \"Carter, Kayden, Andrew, Emily\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8128\", \"logical_representation\": [\"2022/08/30\", \"breakfast\", \"pancakes\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/30\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8129\", \"logical_representation\": [\"2022/08/30\", \"dinner\", \"chinese food\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/08/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8130\", \"logical_representation\": [\"2022/08/30\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/08/30?\", \"27 minutes\"], [\"what did I read on 2022/08/30?\", \"social media\"], [\"Did I read on 2022/08/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/25\": {\"grocery\": {\"eid\": \"e7774\", \"logical_representation\": [\"2022/09/25\", \"I bought some oranges, apple juice, mango juice, orange juice, toothbrush, shaving cream, mouth wash, paper towel online.\", \"oranges\", \"apple juice, mango juice, orange juice\", \"toothbrush, shaving cream, mouth wash, paper towel\", \"Rylee, Piper, Olivia, Piper, Nora, Kinsley\"], \"text_template_based\": \"I bought some oranges, apple juice, mango juice, orange juice, toothbrush, shaving cream, mouth wash, paper towel online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/09/25?\", \"oranges, apple juice, mango juice, orange juice, and toothbrush, shaving cream, mouth wash, paper towel\"], [\"what fruits did I buy online on 2022/09/25?\", \"oranges\"], [\"what drinks did I buy online on 2022/09/25?\", \"apple juice, mango juice, orange juice\"], [\"what toiletries did I buy online on 2022/09/25?\", \"toothbrush, shaving cream, mouth wash, paper towel\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8176\", \"logical_representation\": [\"2022/09/25\", \"breakfast\", \"cereals\", \"Andrew, Carter\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/25\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2022/10/03\": {\"grocery\": {\"eid\": \"e7775\", \"logical_representation\": [\"2022/10/03\", \"I bought some clementines, pineapples, blueberries, guava juice, mineral water, chocolate milk, facial wash from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"clementines, pineapples, blueberries\", \"guava juice, mineral water, chocolate milk\", \"facial wash\", \"Emily, Kayden, Andrew, Carter\"], \"text_template_based\": \"I bought some clementines, pineapples, blueberries, guava juice, mineral water, chocolate milk, facial wash from the grocery store. I saw Emily, Kayden, Andrew, Carter at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/10/03?\", \"clementines, pineapples, blueberries, guava juice, mineral water, chocolate milk, and facial wash\"], [\"what fruits did I buy from the grocery store on 2022/10/03?\", \"clementines, pineapples, blueberries\"], [\"what drinks did I buy from the grocery store on 2022/10/03?\", \"guava juice, mineral water, chocolate milk\"], [\"what toiletries did I buy from the grocery store on 2022/10/03?\", \"facial wash\"], [\"who did I see at the grocery store on 2022/10/03?\", \"Emily, Kayden, Andrew, Carter\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8189\", \"logical_representation\": [\"2022/10/03\", \"Nora, Piper, Piper\", \"in the late afternoon\", \"49 minutes\"], \"text_template_based\": \"I spent 49 talking to Nora, Piper, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Piper in the late afternoon on 2022/10/03?\", \"49 minutes\"], [\"who did I talk to on 2022/10/03?\", \"Nora, Piper, Piper\"], [\"Did I talk to Nora, Piper, Piper on 2022/10/03?\", \"yes\"], [\"Did I talk to anyone on 2022/10/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/11\": {\"dating\": {\"eid\": \"e7776\", \"logical_representation\": [\"2022/10/11\", \"Wyatt\", \"a park\"], \"text_template_based\": \"On 2022/10/11, I took Wyatt on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/10/11\", \"Wyatt\"], [\"where did I go for the date on 2022/10/11\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8202\", \"logical_representation\": [\"2022/10/11\", \"biking\"], \"text_template_based\": \"I did biking on 2022/10/11.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/11?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8203\", \"logical_representation\": [\"2022/10/11\", \"a book\", \"53 minutes\"], \"text_template_based\": \"I spent 53 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/10/11?\", \"53 minutes\"], [\"what did I read on 2022/10/11?\", \"a book\"], [\"Did I read on 2022/10/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/18\": {\"dating\": {\"eid\": \"e7777\", \"logical_representation\": [\"2022/10/18\", \"Cora\", \"a boba shop\"], \"text_template_based\": \"On 2022/10/18, I took Cora on a date to a boba shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/10/18\", \"Cora\"], [\"where did I go for the date on 2022/10/18\", \"a boba shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8212\", \"logical_representation\": [\"2022/10/18\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/10/18.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/18?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2022/10/25\": {\"dating\": {\"eid\": \"e7779\", \"logical_representation\": [\"2022/10/25\", \"Piper\", \"a restaurant\"], \"text_template_based\": \"I went on a date with Piper on 2022/10/25 at a restaurant\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/10/25\", \"Piper\"], [\"where did I go for the date on 2022/10/25\", \"a restaurant\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8224\", \"logical_representation\": [\"2022/10/25\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/10/25?\", \"37 minutes\"], [\"what did I read on 2022/10/25?\", \"social media\"], [\"Did I read on 2022/10/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/29\": {\"grocery\": {\"eid\": \"e7780\", \"logical_representation\": [\"2022/10/29\", \"I went grocery shopping with Carter. I bought some mandarins, blueberries, strawberries, tea, milk, and toilet paper, toothbrush, conditioner, paper towel\", \"mandarins, blueberries, strawberries\", \"tea, milk\", \"toilet paper, toothbrush, conditioner, paper towel\", \"Carter\"], \"text_template_based\": \"I went grocery shopping with Carter. I bought some mandarins, blueberries, strawberries, tea, milk, and toilet paper, toothbrush, conditioner, paper towel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/10/29?\", \"mandarins, blueberries, strawberries, tea, milk, and toilet paper, toothbrush, conditioner, paper towel\"], [\"what fruits did I buy from the grocery store on 2022/10/29?\", \"mandarins, blueberries, strawberries\"], [\"what drinks did I buy from the grocery store on 2022/10/29?\", \"tea, milk\"], [\"what toiletries did I buy from the grocery store on 2022/10/29?\", \"toilet paper, toothbrush, conditioner, paper towel\"], [\"who was with me at the grocery store on 2022/10/29?\", \"Carter\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8230\", \"logical_representation\": [\"2022/10/29\", \"news\", \"8 minutes\"], \"text_template_based\": \"I watched news for 8 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/29?\", \"8 minutes\"], [\"what did I watch on tv on 2022/10/29?\", \"news\"], [\"Did I watch tv on 2022/10/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/09\": {\"dating\": {\"eid\": \"e7781\", \"logical_representation\": [\"2022/11/09\", \"Kennedy\", \"a park\"], \"text_template_based\": \"On 2022/11/09, I took Kennedy on a date to a park\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/11/09\", \"Kennedy\"], [\"where did I go for the date on 2022/11/09\", \"a park\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8251\", \"logical_representation\": [\"2022/11/09\", \"running\"], \"text_template_based\": \"I did running on 2022/11/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/09?\", \"running\"]], \"multihop_qa_pairs\": []}}, \"2022/11/07\": {\"grocery\": {\"eid\": \"e7782\", \"logical_representation\": [\"2022/11/07\", \"I went grocery shopping. I bought some oranges, mango juice, apple juice, milk, and mouthwash, mouth wash\", \"oranges\", \"mango juice, apple juice, milk\", \"mouthwash, mouth wash\", \"Rylee, Lydia, Eva, Layla, Nevaeh, Piper, Hazel\"], \"text_template_based\": \"I went grocery shopping. I bought some oranges, mango juice, apple juice, milk, and mouthwash, mouth wash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/11/07?\", \"oranges, mango juice, apple juice, milk, and mouthwash, mouth wash\"], [\"what fruits did I buy from the grocery store on 2022/11/07?\", \"oranges\"], [\"what drinks did I buy from the grocery store on 2022/11/07?\", \"mango juice, apple juice, milk\"], [\"what toiletries did I buy from the grocery store on 2022/11/07?\", \"mouthwash, mouth wash\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8249\", \"logical_representation\": [\"2022/11/07\", \"dinner\", \"fish and chips\", \"Emily, Carter, Kayden\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/11/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2022/11/17\": {\"dating\": {\"eid\": \"e7783\", \"logical_representation\": [\"2022/11/17\", \"Everleigh\", \"a coffee Shop\"], \"text_template_based\": \"On 2022/11/17, I took Everleigh on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/11/17\", \"Everleigh\"], [\"where did I go for the date on 2022/11/17\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7784\", \"logical_representation\": [\"2022/11/17\", \"I bought some clementines, strawberries, chocolate milk, coffee, toilet paper from the grocery store. I saw Emily, Kayden, Andrew at the grocery store.\", \"clementines, strawberries\", \"chocolate milk, coffee\", \"toilet paper\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I bought some clementines, strawberries, chocolate milk, coffee, toilet paper from the grocery store. I saw Emily, Kayden, Andrew at the grocery store.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/11/17?\", \"clementines, strawberries, chocolate milk, coffee, and toilet paper\"], [\"what fruits did I buy from the grocery store on 2022/11/17?\", \"clementines, strawberries\"], [\"what drinks did I buy from the grocery store on 2022/11/17?\", \"chocolate milk, coffee\"], [\"what toiletries did I buy from the grocery store on 2022/11/17?\", \"toilet paper\"], [\"who did I see at the grocery store on 2022/11/17?\", \"Emily, Kayden, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8264\", \"logical_representation\": [\"2022/11/17\", \"lunch\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I had fish and chips for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/11/17?\", \"Carter\"], [\"what did I eat for lunch on 2022/11/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8265\", \"logical_representation\": [\"2022/11/17\", \"Layla, Lydia, Avery, Claire\", \"late in the evening\", \"42 minutes\"], \"text_template_based\": \"I talked to Layla, Lydia, Avery, Claire for 42 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Lydia, Avery, Claire late in the evening on 2022/11/17?\", \"42 minutes\"], [\"who did I talk to on 2022/11/17?\", \"Layla, Lydia, Avery, Claire\"], [\"Did I talk to Layla, Lydia, Avery, Claire on 2022/11/17?\", \"yes\"], [\"Did I talk to anyone on 2022/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8266\", \"logical_representation\": [\"2022/11/17\", \"a movie\", \"13 minutes\"], \"text_template_based\": \"I watched a movie for 13 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/17?\", \"13 minutes\"], [\"what did I watch on tv on 2022/11/17?\", \"a movie\"], [\"Did I watch tv on 2022/11/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/28\": {\"bake\": {\"eid\": \"e7786\", \"logical_representation\": [\"2022/11/28\", \"I entertained Kayden, Emily at my place on 2022/11/28 and bake cream-filled bundt cake, chocolate-chip mug brownie\", \"bake\", \"cream-filled bundt cake, chocolate-chip mug brownie\", \"Kayden, Emily\", \"my place\"], \"text_template_based\": \"I entertained Kayden, Emily at my place on 2022/11/28 and bake cream-filled bundt cake, chocolate-chip mug brownie\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I bake cream-filled bundt cake, chocolate-chip mug brownie with Kayden, Emily?\", \"2022/11/28\"], [\"what did I bake on 2022/11/28?\", \"cream-filled bundt cake, chocolate-chip mug brownie\"], [\"who was I with when I  cream-filled bundt cake, chocolate-chip mug brownie on 2022/11/28?\", \"Kayden, Emily\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8285\", \"logical_representation\": [\"2022/11/28\", \"dinner\", \"chinese food\", \"Nora, Lydia, Avery, Nevaeh, Piper, Rylee\"], \"text_template_based\": \"I had dinner with Nora, Lydia, Avery, Nevaeh, Piper, Rylee. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/11/28?\", \"Nora, Lydia, Avery, Nevaeh, Piper, Rylee\"], [\"what did I eat for dinner on 2022/11/28\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2022/11/30\": {\"grocery\": {\"eid\": \"e7787\", \"logical_representation\": [\"2022/11/30\", \"I went grocery shopping with Kayden, Emily, Carter, Andrew. I bought some peaches, sports drinks, guava juice, and toothpaste, body lotion\", \"peaches\", \"sports drinks, guava juice\", \"toothpaste, body lotion\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I went grocery shopping with Kayden, Emily, Carter, Andrew. I bought some peaches, sports drinks, guava juice, and toothpaste, body lotion\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/11/30?\", \"peaches, sports drinks, guava juice, and toothpaste, body lotion\"], [\"what fruits did I buy from the grocery store on 2022/11/30?\", \"peaches\"], [\"what drinks did I buy from the grocery store on 2022/11/30?\", \"sports drinks, guava juice\"], [\"what toiletries did I buy from the grocery store on 2022/11/30?\", \"toothpaste, body lotion\"], [\"who was with me at the grocery store on 2022/11/30?\", \"Kayden, Emily, Carter, Andrew\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8288\", \"logical_representation\": [\"2022/11/30\", \"lunch\", \"chinese food\", \"Kayden, Andrew, Carter, Emily\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/11/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2022/12/05\": {\"bake\": {\"eid\": \"e7788\", \"logical_representation\": [\"2022/12/05\", \"I was baking brownies, chocolate chip cookie in a mug, fig tarte tatin on 2022/12/05 with Eva, Olivia, Kinsley at my place\", \"bake\", \"brownies, chocolate chip cookie in a mug, fig tarte tatin\", \"Eva, Olivia, Kinsley\", \"my place\"], \"text_template_based\": \"I was baking brownies, chocolate chip cookie in a mug, fig tarte tatin on 2022/12/05 with Eva, Olivia, Kinsley at my place\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I  brownies, chocolate chip cookie in a mug, fig tarte tatin with Eva, Olivia, Kinsley?\", \"2022/12/05\"], [\"what did I  on 2022/12/05?\", \"brownies, chocolate chip cookie in a mug, fig tarte tatin\"], [\"who was I with when I  brownies, chocolate chip cookie in a mug, fig tarte tatin on 2022/12/05?\", \"Eva, Olivia, Kinsley\"]], \"multihop_qa_pairs\": []}}, \"2022/12/09\": {\"grocery\": {\"eid\": \"e7789\", \"logical_representation\": [\"2022/12/09\", \"I went grocery shopping. I bought some clementines, watermelons, coffee, milk, mango juice, and paper towel, conditioner, body lotion, toilet paper\", \"clementines, watermelons\", \"coffee, milk, mango juice\", \"paper towel, conditioner, body lotion, toilet paper\", \"Emily, Andrew, Kayden, Carter\"], \"text_template_based\": \"I went grocery shopping. I bought some clementines, watermelons, coffee, milk, mango juice, and paper towel, conditioner, body lotion, toilet paper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/12/09?\", \"clementines, watermelons, coffee, milk, mango juice, and paper towel, conditioner, body lotion, toilet paper\"], [\"what fruits did I buy from the grocery store on 2022/12/09?\", \"clementines, watermelons\"], [\"what drinks did I buy from the grocery store on 2022/12/09?\", \"coffee, milk, mango juice\"], [\"what toiletries did I buy from the grocery store on 2022/12/09?\", \"paper towel, conditioner, body lotion, toilet paper\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8296\", \"logical_representation\": [\"2022/12/09\", \"lunch\", \"steak\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/12/09\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2022/12/15\": {\"dating\": {\"eid\": \"e7790\", \"logical_representation\": [\"2022/12/15\", \"Naomi\", \"a coffee Shop\"], \"text_template_based\": \"On 2022/12/15, I took Naomi on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/12/15\", \"Naomi\"], [\"where did I go for the date on 2022/12/15\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8303\", \"logical_representation\": [\"2022/12/15\", \"biking\"], \"text_template_based\": \"I did biking on 2022/12/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8304\", \"logical_representation\": [\"2022/12/15\", \"lunch\", \"sushi\", \"Piper, Lydia, Avery, Claire, Nora\"], \"text_template_based\": \"I had sushi for lunch with Piper, Lydia, Avery, Claire, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/12/15?\", \"Piper, Lydia, Avery, Claire, Nora\"], [\"what did I eat for lunch on 2022/12/15\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2022/12/13\": {\"grocery\": {\"eid\": \"e7791\", \"logical_representation\": [\"2022/12/13\", \"I went grocery shopping with Kayden, Emily, Carter. I bought some bananas, soda, orange juice, apple juice, and toothbrush, facial wash, mouthwash\", \"bananas\", \"soda, orange juice, apple juice\", \"toothbrush, facial wash, mouthwash\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I went grocery shopping with Kayden, Emily, Carter. I bought some bananas, soda, orange juice, apple juice, and toothbrush, facial wash, mouthwash\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy from the grocery store on 2022/12/13?\", \"bananas, soda, orange juice, apple juice, and toothbrush, facial wash, mouthwash\"], [\"what fruits did I buy from the grocery store on 2022/12/13?\", \"bananas\"], [\"what drinks did I buy from the grocery store on 2022/12/13?\", \"soda, orange juice, apple juice\"], [\"what toiletries did I buy from the grocery store on 2022/12/13?\", \"toothbrush, facial wash, mouthwash\"], [\"who was with me at the grocery store on 2022/12/13?\", \"Kayden, Emily, Carter\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8301\", \"logical_representation\": [\"2022/12/13\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/13?\", \"10 minutes\"], [\"what did I watch on tv on 2022/12/13?\", \"a movie\"], [\"Did I watch tv on 2022/12/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/23\": {\"dating\": {\"eid\": \"e7792\", \"logical_representation\": [\"2022/12/23\", \"Elena\", \"a coffee Shop\"], \"text_template_based\": \"On 2022/12/23, I took Elena on a date to a coffee Shop\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"who did I go on a date with on 2022/12/23\", \"Elena\"], [\"where did I go for the date on 2022/12/23\", \"a coffee Shop\"]], \"multihop_qa_pairs\": []}, \"exercise\": {\"eid\": \"e8313\", \"logical_representation\": [\"2022/12/23\", \"running\"], \"text_template_based\": \"I did running on 2022/12/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/23?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8314\", \"logical_representation\": [\"2022/12/23\", \"lunch\", \"pasta\", \"Willow, Avery\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/12/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8315\", \"logical_representation\": [\"2022/12/23\", \"dinner\", \"pasta\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I had pasta for dinner with Jackson, Willow, Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/12/23?\", \"Jackson, Willow, Benjamin, Avery\"], [\"what did I eat for dinner on 2022/12/23\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2022/12/18\": {\"hobbies\": {\"eid\": \"e7793\", \"logical_representation\": [\"2022/12/18\", \"I spent time yoga on 2022/12/18 with Andrew, Carter, Kayden.\", \"yoga\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I spent time yoga on 2022/12/18 with Andrew, Carter, Kayden.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I spend time on yoga with Andrew, Carter, Kayden?\", \"2022/12/18\"], [\"On 2022/12/18, which hobby did I spend time on?\", \"yoga\"], [\"who was with me when I was spending time on yoga on 2022/12/18?\", \"Andrew, Carter, Kayden\"]], \"multihop_qa_pairs\": []}}, \"2022/12/30\": {\"hobbies\": {\"eid\": \"e7794\", \"logical_representation\": [\"2022/12/30\", \"I really enjoyed learning a language on 2022/12/30\", \"learning a language\", \"Layla, Olivia\"], \"text_template_based\": \"I really enjoyed learning a language on 2022/12/30\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"when did I do learning a language?\", \"2022/12/30\"], [\"On 2022/12/30, which hobby did I spend time on?\", \"learning a language\"]], \"multihop_qa_pairs\": []}, \"grocery\": {\"eid\": \"e7795\", \"logical_representation\": [\"2022/12/30\", \"I bought some guava, oranges, clementines, coffee, guava juice, mineral water, soda, facial wash, toothbrush online.\", \"guava, oranges, clementines\", \"coffee, guava juice, mineral water, soda\", \"facial wash, toothbrush\", \"Avery, Piper, Rylee, Hazel, Lydia, Nora, Piper, Claire, Layla, Kinsley, Eva, Olivia, Nevaeh\"], \"text_template_based\": \"I bought some guava, oranges, clementines, coffee, guava juice, mineral water, soda, facial wash, toothbrush online.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I buy online on 2022/12/30?\", \"guava, oranges, clementines, coffee, guava juice, mineral water, soda, and facial wash, toothbrush\"], [\"what fruits did I buy online on 2022/12/30?\", \"guava, oranges, clementines\"], [\"what drinks did I buy online on 2022/12/30?\", \"coffee, guava juice, mineral water, soda\"], [\"what toiletries did I buy online on 2022/12/30?\", \"facial wash, toothbrush\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8323\", \"logical_representation\": [\"2022/12/30\", \"Claire, Piper\", \"during lunch hours\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Claire, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper during lunch hours on 2022/12/30?\", \"19 minutes\"], [\"who did I talk to on 2022/12/30?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2022/12/30?\", \"yes\"], [\"Did I talk to anyone on 2022/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8324\", \"logical_representation\": [\"2022/12/30\", \"news\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/12/30?\", \"23 minutes\"], [\"what did I read on 2022/12/30?\", \"news\"], [\"Did I read on 2022/12/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/03\": {\"read\": {\"eid\": \"e7796\", \"logical_representation\": [\"2022/01/03\", \"a book\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/01/03?\", \"6 minutes\"], [\"what did I read on 2022/01/03?\", \"a book\"], [\"Did I read on 2022/01/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/04\": {\"dinner\": {\"eid\": \"e7797\", \"logical_representation\": [\"2022/01/04\", \"dinner\", \"steak\", \"Emily, Carter\"], \"text_template_based\": \"I had dinner with Emily, Carter. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/01/04?\", \"Emily, Carter\"], [\"what did I eat for dinner on 2022/01/04\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2022/01/05\": {\"breakfast\": {\"eid\": \"e7798\", \"logical_representation\": [\"2022/01/05\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/01/05\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7799\", \"logical_representation\": [\"2022/01/05\", \"lunch\", \"fish and chips\", \"Benjamin, Avery\"], \"text_template_based\": \"I had fish and chips for lunch with Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/01/05?\", \"Benjamin, Avery\"], [\"what did I eat for lunch on 2022/01/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2022/01/06\": {\"breakfast\": {\"eid\": \"e7800\", \"logical_representation\": [\"2022/01/06\", \"breakfast\", \"cereals\", \"Benjamin\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/01/06\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2022/01/07\": {\"exercise\": {\"eid\": \"e7801\", \"logical_representation\": [\"2022/01/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/01/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7802\", \"logical_representation\": [\"2022/01/07\", \"dinner\", \"sushi\", \"Olivia\"], \"text_template_based\": \"I had sushi for dinner with Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/01/07?\", \"Olivia\"], [\"what did I eat for dinner on 2022/01/07\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7803\", \"logical_representation\": [\"2022/01/07\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I watched a movie for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/07?\", \"37 minutes\"], [\"what did I watch on tv on 2022/01/07?\", \"a movie\"], [\"Did I watch tv on 2022/01/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/08\": {\"lunch\": {\"eid\": \"e7804\", \"logical_representation\": [\"2022/01/08\", \"lunch\", \"fish and chips\", \"Eva, Lydia, Avery\"], \"text_template_based\": \"I ate fish and chips for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/01/08\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7805\", \"logical_representation\": [\"2022/01/08\", \"news\", \"24 minutes\"], \"text_template_based\": \"I spent 24 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/01/08?\", \"24 minutes\"], [\"what did I read on 2022/01/08?\", \"news\"], [\"Did I read on 2022/01/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/09\": {\"exercise\": {\"eid\": \"e7806\", \"logical_representation\": [\"2022/01/09\", \"running\"], \"text_template_based\": \"I did running on 2022/01/09.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/09?\", \"running\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7807\", \"logical_representation\": [\"2022/01/09\", \"a movie\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/09?\", \"25 minutes\"], [\"what did I watch on tv on 2022/01/09?\", \"a movie\"], [\"Did I watch tv on 2022/01/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/10\": {\"breakfast\": {\"eid\": \"e7808\", \"logical_representation\": [\"2022/01/10\", \"breakfast\", \"pancakes\", \"Emily, Carter\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/01/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7809\", \"logical_representation\": [\"2022/01/10\", \"lunch\", \"a burger\", \"Avery, Nevaeh, Eva, Rylee, Kinsley, Nora, Olivia, Piper, Lydia, Piper\"], \"text_template_based\": \"I had a burger for lunch with Avery, Nevaeh, Eva, Rylee, Kinsley, Nora, Olivia, Piper, Lydia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/01/10?\", \"Avery, Nevaeh, Eva, Rylee, Kinsley, Nora, Olivia, Piper, Lydia, Piper\"], [\"what did I eat for lunch on 2022/01/10\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7810\", \"logical_representation\": [\"2022/01/10\", \"dinner\", \"sandwich\", \"Benjamin, Willow, Jackson\"], \"text_template_based\": \"I prepare sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/01/10\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2022/01/11\": {\"chat0\": {\"eid\": \"e7811\", \"logical_representation\": [\"2022/01/11\", \"Kinsley, Olivia, Nora, Nevaeh\", \"late in the evening\", \"28 minutes\"], \"text_template_based\": \"I spent 28 talking to Kinsley, Olivia, Nora, Nevaeh on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Nora, Nevaeh late in the evening on 2022/01/11?\", \"28 minutes\"], [\"who did I talk to on 2022/01/11?\", \"Kinsley, Olivia, Nora, Nevaeh\"], [\"Did I talk to Kinsley, Olivia, Nora, Nevaeh on 2022/01/11?\", \"yes\"], [\"Did I talk to anyone on 2022/01/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/12\": {\"dinner\": {\"eid\": \"e7812\", \"logical_representation\": [\"2022/01/12\", \"dinner\", \"sandwich\", \"Hazel, Layla, Avery\"], \"text_template_based\": \"I had dinner with Hazel, Layla, Avery. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/01/12?\", \"Hazel, Layla, Avery\"], [\"what did I eat for dinner on 2022/01/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7813\", \"logical_representation\": [\"2022/01/12\", \"Eva, Layla\", \"in the early evening\", \"32 minutes\"], \"text_template_based\": \"I spent 32 talking to Eva, Layla on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla in the early evening on 2022/01/12?\", \"32 minutes\"], [\"who did I talk to on 2022/01/12?\", \"Eva, Layla\"], [\"Did I talk to Eva, Layla on 2022/01/12?\", \"yes\"], [\"Did I talk to anyone on 2022/01/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/13\": {\"read\": {\"eid\": \"e7814\", \"logical_representation\": [\"2022/01/13\", \"news\", \"47 minutes\"], \"text_template_based\": \"I spent 47 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/01/13?\", \"47 minutes\"], [\"what did I read on 2022/01/13?\", \"news\"], [\"Did I read on 2022/01/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/16\": {\"exercise\": {\"eid\": \"e7815\", \"logical_representation\": [\"2022/01/16\", \"biking\"], \"text_template_based\": \"I did biking on 2022/01/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/16?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7816\", \"logical_representation\": [\"2022/01/16\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/01/16\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2022/01/17\": {\"chat0\": {\"eid\": \"e7817\", \"logical_representation\": [\"2022/01/17\", \"Claire\", \"in the morning\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire in the morning on 2022/01/17?\", \"11 minutes\"], [\"who did I talk to on 2022/01/17?\", \"Claire\"], [\"Did I talk to Claire on 2022/01/17?\", \"yes\"], [\"Did I talk to anyone on 2022/01/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/18\": {\"breakfast\": {\"eid\": \"e7818\", \"logical_representation\": [\"2022/01/18\", \"breakfast\", \"eggs, sausages, and bread\", \"Nora, Eva, Kinsley, Piper, Lydia, Avery, Olivia, Rylee, Hazel, Layla, Nevaeh, Claire, Piper\"], \"text_template_based\": \"I prepare eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/01/18\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7819\", \"logical_representation\": [\"2022/01/18\", \"dinner\", \"a burger\", \"Kayden, Andrew\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/01/18\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e7820\", \"logical_representation\": [\"2022/01/18\", \"social media\", \"37 minutes\"], \"text_template_based\": \"I spent 37 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/01/18?\", \"37 minutes\"], [\"what did I read on 2022/01/18?\", \"social media\"], [\"Did I read on 2022/01/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/19\": {\"chat0\": {\"eid\": \"e7821\", \"logical_representation\": [\"2022/01/19\", \"Nevaeh, Eva, Lydia\", \"in the late afternoon\", \"47 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva, Lydia for 47 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva, Lydia in the late afternoon on 2022/01/19?\", \"47 minutes\"], [\"who did I talk to on 2022/01/19?\", \"Nevaeh, Eva, Lydia\"], [\"Did I talk to Nevaeh, Eva, Lydia on 2022/01/19?\", \"yes\"], [\"Did I talk to anyone on 2022/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7822\", \"logical_representation\": [\"2022/01/19\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/01/19?\", \"55 minutes\"], [\"what did I watch on tv on 2022/01/19?\", \"news\"], [\"Did I watch tv on 2022/01/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/21\": {\"lunch\": {\"eid\": \"e7826\", \"logical_representation\": [\"2022/01/21\", \"lunch\", \"steak\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Emily, Andrew, Kayden. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/01/21?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for lunch on 2022/01/21\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2022/01/22\": {\"dinner\": {\"eid\": \"e7827\", \"logical_representation\": [\"2022/01/22\", \"dinner\", \"fish and chips\", \"Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Kayden, Andrew. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/01/22?\", \"Kayden, Andrew\"], [\"what did I eat for dinner on 2022/01/22\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7828\", \"logical_representation\": [\"2022/01/22\", \"Claire\", \"during lunch hours\", \"37 minutes\"], \"text_template_based\": \"I talked to Claire for 37 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire during lunch hours on 2022/01/22?\", \"37 minutes\"], [\"who did I talk to on 2022/01/22?\", \"Claire\"], [\"Did I talk to Claire on 2022/01/22?\", \"yes\"], [\"Did I talk to anyone on 2022/01/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/24\": {\"chat0\": {\"eid\": \"e7830\", \"logical_representation\": [\"2022/01/24\", \"Hazel, Olivia, Nevaeh, Claire\", \"late in the evening\", \"5 minutes\"], \"text_template_based\": \"I talked to Hazel, Olivia, Nevaeh, Claire for 5 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Olivia, Nevaeh, Claire late in the evening on 2022/01/24?\", \"5 minutes\"], [\"who did I talk to on 2022/01/24?\", \"Hazel, Olivia, Nevaeh, Claire\"], [\"Did I talk to Hazel, Olivia, Nevaeh, Claire on 2022/01/24?\", \"yes\"], [\"Did I talk to anyone on 2022/01/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/27\": {\"read\": {\"eid\": \"e7831\", \"logical_representation\": [\"2022/01/27\", \"a book\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/01/27?\", \"13 minutes\"], [\"what did I read on 2022/01/27?\", \"a book\"], [\"Did I read on 2022/01/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/01/29\": {\"exercise\": {\"eid\": \"e7834\", \"logical_representation\": [\"2022/01/29\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/01/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/01/29?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7835\", \"logical_representation\": [\"2022/01/29\", \"lunch\", \"indian food\", \"Kayden\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/01/29\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2022/01/30\": {\"chat0\": {\"eid\": \"e7836\", \"logical_representation\": [\"2022/01/30\", \"Piper, Eva, Nora\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Piper, Eva, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Eva, Nora in the early afternoon on 2022/01/30?\", \"20 minutes\"], [\"who did I talk to on 2022/01/30?\", \"Piper, Eva, Nora\"], [\"Did I talk to Piper, Eva, Nora on 2022/01/30?\", \"yes\"], [\"Did I talk to anyone on 2022/01/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/01\": {\"exercise\": {\"eid\": \"e7839\", \"logical_representation\": [\"2022/02/01\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/02/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/01?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7840\", \"logical_representation\": [\"2022/02/01\", \"a book\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/02/01?\", \"27 minutes\"], [\"what did I read on 2022/02/01?\", \"a book\"], [\"Did I read on 2022/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7841\", \"logical_representation\": [\"2022/02/01\", \"a movie\", \"40 minutes\"], \"text_template_based\": \"I watched a movie for 40 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/01?\", \"40 minutes\"], [\"what did I watch on tv on 2022/02/01?\", \"a movie\"], [\"Did I watch tv on 2022/02/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/02\": {\"exercise\": {\"eid\": \"e7842\", \"logical_representation\": [\"2022/02/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/02/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7843\", \"logical_representation\": [\"2022/02/02\", \"a book\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/02/02?\", \"7 minutes\"], [\"what did I read on 2022/02/02?\", \"a book\"], [\"Did I read on 2022/02/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/03\": {\"breakfast\": {\"eid\": \"e7844\", \"logical_representation\": [\"2022/02/03\", \"breakfast\", \"cereals\", \"Nora\"], \"text_template_based\": \"I had breakfast with Nora. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/02/03?\", \"Nora\"], [\"what did I eat for breakfast on 2022/02/03\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7845\", \"logical_representation\": [\"2022/02/03\", \"lunch\", \"chinese food\", \"Willow\"], \"text_template_based\": \"I had lunch with Willow. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/02/03?\", \"Willow\"], [\"what did I eat for lunch on 2022/02/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7846\", \"logical_representation\": [\"2022/02/03\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/03?\", \"54 minutes\"], [\"what did I watch on tv on 2022/02/03?\", \"a tv series\"], [\"Did I watch tv on 2022/02/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/06\": {\"lunch\": {\"eid\": \"e7847\", \"logical_representation\": [\"2022/02/06\", \"lunch\", \"a burger\", \"Andrew, Carter, Kayden, Emily\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/02/06\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2022/02/09\": {\"breakfast\": {\"eid\": \"e7848\", \"logical_representation\": [\"2022/02/09\", \"breakfast\", \"oatmeal\", \"Carter, Emily\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/09\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7849\", \"logical_representation\": [\"2022/02/09\", \"Layla, Rylee, Avery, Eva\", \"in the late afternoon\", \"18 minutes\"], \"text_template_based\": \"I talked to Layla, Rylee, Avery, Eva for 18 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Rylee, Avery, Eva in the late afternoon on 2022/02/09?\", \"18 minutes\"], [\"who did I talk to on 2022/02/09?\", \"Layla, Rylee, Avery, Eva\"], [\"Did I talk to Layla, Rylee, Avery, Eva on 2022/02/09?\", \"yes\"], [\"Did I talk to anyone on 2022/02/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/10\": {\"chat0\": {\"eid\": \"e7850\", \"logical_representation\": [\"2022/02/10\", \"Nora, Kinsley, Claire\", \"in the morning\", \"31 minutes\"], \"text_template_based\": \"I talked to Nora, Kinsley, Claire for 31 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Kinsley, Claire in the morning on 2022/02/10?\", \"31 minutes\"], [\"who did I talk to on 2022/02/10?\", \"Nora, Kinsley, Claire\"], [\"Did I talk to Nora, Kinsley, Claire on 2022/02/10?\", \"yes\"], [\"Did I talk to anyone on 2022/02/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/11\": {\"chat0\": {\"eid\": \"e7851\", \"logical_representation\": [\"2022/02/11\", \"Kinsley, Olivia, Hazel, Nora\", \"late in the evening\", \"18 minutes\"], \"text_template_based\": \"I talked to Kinsley, Olivia, Hazel, Nora for 18 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Olivia, Hazel, Nora late in the evening on 2022/02/11?\", \"18 minutes\"], [\"who did I talk to on 2022/02/11?\", \"Kinsley, Olivia, Hazel, Nora\"], [\"Did I talk to Kinsley, Olivia, Hazel, Nora on 2022/02/11?\", \"yes\"], [\"Did I talk to anyone on 2022/02/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/12\": {\"chat0\": {\"eid\": \"e7852\", \"logical_representation\": [\"2022/02/12\", \"Claire, Avery, Nora, Piper\", \"during lunch hours\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Claire, Avery, Nora, Piper on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Avery, Nora, Piper during lunch hours on 2022/02/12?\", \"54 minutes\"], [\"who did I talk to on 2022/02/12?\", \"Claire, Avery, Nora, Piper\"], [\"Did I talk to Claire, Avery, Nora, Piper on 2022/02/12?\", \"yes\"], [\"Did I talk to anyone on 2022/02/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/13\": {\"breakfast\": {\"eid\": \"e7853\", \"logical_representation\": [\"2022/02/13\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Carter\"], \"text_template_based\": \"I had breakfast with Andrew, Carter. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/02/13?\", \"Andrew, Carter\"], [\"what did I eat for breakfast on 2022/02/13\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7854\", \"logical_representation\": [\"2022/02/13\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/13?\", \"32 minutes\"], [\"what did I watch on tv on 2022/02/13?\", \"news\"], [\"Did I watch tv on 2022/02/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/14\": {\"dinner\": {\"eid\": \"e7855\", \"logical_representation\": [\"2022/02/14\", \"dinner\", \"tacos\", \"Piper, Hazel, Kinsley, Claire, Rylee, Lydia, Nevaeh, Nora, Eva\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/02/14\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2022/02/15\": {\"exercise\": {\"eid\": \"e7856\", \"logical_representation\": [\"2022/02/15\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/02/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/15?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7857\", \"logical_representation\": [\"2022/02/15\", \"lunch\", \"pasta\", \"Avery\"], \"text_template_based\": \"I had pasta for lunch with Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/02/15?\", \"Avery\"], [\"what did I eat for lunch on 2022/02/15\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2022/02/16\": {\"exercise\": {\"eid\": \"e7858\", \"logical_representation\": [\"2022/02/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/02/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/02/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7859\", \"logical_representation\": [\"2022/02/16\", \"Hazel, Eva\", \"late in the evening\", \"24 minutes\"], \"text_template_based\": \"I talked to Hazel, Eva for 24 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Eva late in the evening on 2022/02/16?\", \"24 minutes\"], [\"who did I talk to on 2022/02/16?\", \"Hazel, Eva\"], [\"Did I talk to Hazel, Eva on 2022/02/16?\", \"yes\"], [\"Did I talk to anyone on 2022/02/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/19\": {\"lunch\": {\"eid\": \"e7864\", \"logical_representation\": [\"2022/02/19\", \"lunch\", \"tacos\", \"Eva, Kinsley, Hazel, Lydia, Piper\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/02/19\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2022/02/20\": {\"breakfast\": {\"eid\": \"e7865\", \"logical_representation\": [\"2022/02/20\", \"breakfast\", \"pancakes\", \"Rylee, Kinsley, Hazel, Lydia, Eva, Avery, Layla, Piper, Piper, Claire, Olivia\"], \"text_template_based\": \"I had breakfast. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/02/20\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7866\", \"logical_representation\": [\"2022/02/20\", \"a documentary\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/02/20?\", \"43 minutes\"], [\"what did I watch on tv on 2022/02/20?\", \"a documentary\"], [\"Did I watch tv on 2022/02/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/02/25\": {\"chat0\": {\"eid\": \"e7870\", \"logical_representation\": [\"2022/02/25\", \"Claire, Piper\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Claire, Piper on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper in the late afternoon on 2022/02/25?\", \"19 minutes\"], [\"who did I talk to on 2022/02/25?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2022/02/25?\", \"yes\"], [\"Did I talk to anyone on 2022/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7871\", \"logical_representation\": [\"2022/02/25\", \"news\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/02/25?\", \"16 minutes\"], [\"what did I read on 2022/02/25?\", \"news\"], [\"Did I read on 2022/02/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/01\": {\"exercise\": {\"eid\": \"e7876\", \"logical_representation\": [\"2022/03/01\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/03/01.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/01?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7877\", \"logical_representation\": [\"2022/03/01\", \"Hazel, Piper, Eva, Olivia\", \"in the early afternoon\", \"26 minutes\"], \"text_template_based\": \"I spent 26 talking to Hazel, Piper, Eva, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Piper, Eva, Olivia in the early afternoon on 2022/03/01?\", \"26 minutes\"], [\"who did I talk to on 2022/03/01?\", \"Hazel, Piper, Eva, Olivia\"], [\"Did I talk to Hazel, Piper, Eva, Olivia on 2022/03/01?\", \"yes\"], [\"Did I talk to anyone on 2022/03/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/02\": {\"read\": {\"eid\": \"e7878\", \"logical_representation\": [\"2022/03/02\", \"news\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/03/02?\", \"17 minutes\"], [\"what did I read on 2022/03/02?\", \"news\"], [\"Did I read on 2022/03/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/03\": {\"lunch\": {\"eid\": \"e7879\", \"logical_representation\": [\"2022/03/03\", \"lunch\", \"sushi\", \"Jackson, Willow\"], \"text_template_based\": \"I had sushi for lunch with Jackson, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/03/03?\", \"Jackson, Willow\"], [\"what did I eat for lunch on 2022/03/03\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7880\", \"logical_representation\": [\"2022/03/03\", \"news\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/03?\", \"51 minutes\"], [\"what did I watch on tv on 2022/03/03?\", \"news\"], [\"Did I watch tv on 2022/03/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/06\": {\"exercise\": {\"eid\": \"e7882\", \"logical_representation\": [\"2022/03/06\", \"biking\"], \"text_template_based\": \"I did biking on 2022/03/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/06?\", \"biking\"]], \"multihop_qa_pairs\": []}}, \"2022/03/07\": {\"chat0\": {\"eid\": \"e7883\", \"logical_representation\": [\"2022/03/07\", \"Olivia, Nora\", \"in the early afternoon\", \"38 minutes\"], \"text_template_based\": \"I talked to Olivia, Nora for 38 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Nora in the early afternoon on 2022/03/07?\", \"38 minutes\"], [\"who did I talk to on 2022/03/07?\", \"Olivia, Nora\"], [\"Did I talk to Olivia, Nora on 2022/03/07?\", \"yes\"], [\"Did I talk to anyone on 2022/03/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/08\": {\"exercise\": {\"eid\": \"e7884\", \"logical_representation\": [\"2022/03/08\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/03/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/08?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7885\", \"logical_representation\": [\"2022/03/08\", \"lunch\", \"steak\", \"Piper, Eva, Lydia, Layla, Hazel, Avery, Nevaeh, Nora, Claire, Olivia, Rylee, Kinsley, Piper\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/03/08\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2022/03/11\": {\"chat0\": {\"eid\": \"e7887\", \"logical_representation\": [\"2022/03/11\", \"Lydia, Olivia\", \"in the early evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Lydia, Olivia for 19 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Olivia in the early evening on 2022/03/11?\", \"19 minutes\"], [\"who did I talk to on 2022/03/11?\", \"Lydia, Olivia\"], [\"Did I talk to Lydia, Olivia on 2022/03/11?\", \"yes\"], [\"Did I talk to anyone on 2022/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7888\", \"logical_representation\": [\"2022/03/11\", \"news\", \"34 minutes\"], \"text_template_based\": \"I spent 34 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/03/11?\", \"34 minutes\"], [\"what did I read on 2022/03/11?\", \"news\"], [\"Did I read on 2022/03/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/12\": {\"dinner\": {\"eid\": \"e7889\", \"logical_representation\": [\"2022/03/12\", \"dinner\", \"fish and chips\", \"Claire, Hazel, Piper, Nevaeh\"], \"text_template_based\": \"I had fish and chips for dinner with Claire, Hazel, Piper, Nevaeh\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/03/12?\", \"Claire, Hazel, Piper, Nevaeh\"], [\"what did I eat for dinner on 2022/03/12\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2022/03/13\": {\"chat0\": {\"eid\": \"e7890\", \"logical_representation\": [\"2022/03/13\", \"Eva, Nora\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I talked to Eva, Nora for 9 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora during lunch hours on 2022/03/13?\", \"9 minutes\"], [\"who did I talk to on 2022/03/13?\", \"Eva, Nora\"], [\"Did I talk to Eva, Nora on 2022/03/13?\", \"yes\"], [\"Did I talk to anyone on 2022/03/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/14\": {\"exercise\": {\"eid\": \"e7891\", \"logical_representation\": [\"2022/03/14\", \"running\"], \"text_template_based\": \"I did running on 2022/03/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/14?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7892\", \"logical_representation\": [\"2022/03/14\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Hazel, Olivia\"], \"text_template_based\": \"I had breakfast with Nevaeh, Hazel, Olivia. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/03/14?\", \"Nevaeh, Hazel, Olivia\"], [\"what did I eat for breakfast on 2022/03/14\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7893\", \"logical_representation\": [\"2022/03/14\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/03/14?\", \"19 minutes\"], [\"what did I read on 2022/03/14?\", \"a book\"], [\"Did I read on 2022/03/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/15\": {\"lunch\": {\"eid\": \"e7894\", \"logical_representation\": [\"2022/03/15\", \"lunch\", \"sandwich\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare sandwich for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/03/15\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7895\", \"logical_representation\": [\"2022/03/15\", \"a tv series\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/15?\", \"17 minutes\"], [\"what did I watch on tv on 2022/03/15?\", \"a tv series\"], [\"Did I watch tv on 2022/03/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/16\": {\"breakfast\": {\"eid\": \"e7896\", \"logical_representation\": [\"2022/03/16\", \"breakfast\", \"cereals\", \"Avery\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/16\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7897\", \"logical_representation\": [\"2022/03/16\", \"dinner\", \"indian food\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/03/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7898\", \"logical_representation\": [\"2022/03/16\", \"Nora, Piper, Avery\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I talked to Nora, Piper, Avery for 28 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Piper, Avery during lunch hours on 2022/03/16?\", \"28 minutes\"], [\"who did I talk to on 2022/03/16?\", \"Nora, Piper, Avery\"], [\"Did I talk to Nora, Piper, Avery on 2022/03/16?\", \"yes\"], [\"Did I talk to anyone on 2022/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7899\", \"logical_representation\": [\"2022/03/16\", \"a movie\", \"14 minutes\"], \"text_template_based\": \"I watched a movie for 14 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/03/16?\", \"14 minutes\"], [\"what did I watch on tv on 2022/03/16?\", \"a movie\"], [\"Did I watch tv on 2022/03/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/18\": {\"chat0\": {\"eid\": \"e7900\", \"logical_representation\": [\"2022/03/18\", \"Kinsley\", \"in the late afternoon\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Kinsley on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the late afternoon on 2022/03/18?\", \"43 minutes\"], [\"who did I talk to on 2022/03/18?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2022/03/18?\", \"yes\"], [\"Did I talk to anyone on 2022/03/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/19\": {\"exercise\": {\"eid\": \"e7901\", \"logical_representation\": [\"2022/03/19\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/03/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/19?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7902\", \"logical_representation\": [\"2022/03/19\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/03/19?\", \"5 minutes\"], [\"what did I read on 2022/03/19?\", \"news\"], [\"Did I read on 2022/03/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/20\": {\"exercise\": {\"eid\": \"e7903\", \"logical_representation\": [\"2022/03/20\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/03/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/20?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7904\", \"logical_representation\": [\"2022/03/20\", \"breakfast\", \"cereals\", \"Jackson, Benjamin, Willow, Avery\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/03/20\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2022/03/22\": {\"exercise\": {\"eid\": \"e7905\", \"logical_representation\": [\"2022/03/22\", \"biking\"], \"text_template_based\": \"I did biking on 2022/03/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/03/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7906\", \"logical_representation\": [\"2022/03/22\", \"Nora\", \"late in the evening\", \"51 minutes\"], \"text_template_based\": \"I talked to Nora for 51 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora late in the evening on 2022/03/22?\", \"51 minutes\"], [\"who did I talk to on 2022/03/22?\", \"Nora\"], [\"Did I talk to Nora on 2022/03/22?\", \"yes\"], [\"Did I talk to anyone on 2022/03/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/23\": {\"dinner\": {\"eid\": \"e7907\", \"logical_representation\": [\"2022/03/23\", \"dinner\", \"pasta\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had pasta for dinner with Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/03/23?\", \"Kayden, Emily, Carter\"], [\"what did I eat for dinner on 2022/03/23\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7908\", \"logical_representation\": [\"2022/03/23\", \"Piper\", \"in the morning\", \"45 minutes\"], \"text_template_based\": \"I talked to Piper for 45 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2022/03/23?\", \"45 minutes\"], [\"who did I talk to on 2022/03/23?\", \"Piper\"], [\"Did I talk to Piper on 2022/03/23?\", \"yes\"], [\"Did I talk to anyone on 2022/03/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/26\": {\"read\": {\"eid\": \"e7910\", \"logical_representation\": [\"2022/03/26\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/03/26?\", \"55 minutes\"], [\"what did I read on 2022/03/26?\", \"news\"], [\"Did I read on 2022/03/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/03/27\": {\"dinner\": {\"eid\": \"e7911\", \"logical_representation\": [\"2022/03/27\", \"dinner\", \"sandwich\", \"Piper, Lydia, Layla, Olivia, Claire, Rylee\"], \"text_template_based\": \"I had dinner with Piper, Lydia, Layla, Olivia, Claire, Rylee. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/03/27?\", \"Piper, Lydia, Layla, Olivia, Claire, Rylee\"], [\"what did I eat for dinner on 2022/03/27\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2022/03/28\": {\"chat0\": {\"eid\": \"e7912\", \"logical_representation\": [\"2022/03/28\", \"Avery, Piper\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Avery, Piper for 20 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper in the early evening on 2022/03/28?\", \"20 minutes\"], [\"who did I talk to on 2022/03/28?\", \"Avery, Piper\"], [\"Did I talk to Avery, Piper on 2022/03/28?\", \"yes\"], [\"Did I talk to anyone on 2022/03/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/02\": {\"exercise\": {\"eid\": \"e7916\", \"logical_representation\": [\"2022/04/02\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/04/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/02?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2022/04/03\": {\"chat0\": {\"eid\": \"e7917\", \"logical_representation\": [\"2022/04/03\", \"Claire, Piper, Piper\", \"late in the evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Claire, Piper, Piper on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper, Piper late in the evening on 2022/04/03?\", \"23 minutes\"], [\"who did I talk to on 2022/04/03?\", \"Claire, Piper, Piper\"], [\"Did I talk to Claire, Piper, Piper on 2022/04/03?\", \"yes\"], [\"Did I talk to anyone on 2022/04/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/04\": {\"dinner\": {\"eid\": \"e7918\", \"logical_representation\": [\"2022/04/04\", \"dinner\", \"a burger\", \"Kayden, Emily, Andrew\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/04/04\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7919\", \"logical_representation\": [\"2022/04/04\", \"a documentary\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/04?\", \"31 minutes\"], [\"what did I watch on tv on 2022/04/04?\", \"a documentary\"], [\"Did I watch tv on 2022/04/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/05\": {\"exercise\": {\"eid\": \"e7920\", \"logical_representation\": [\"2022/04/05\", \"running\"], \"text_template_based\": \"I did running on 2022/04/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/05?\", \"running\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7921\", \"logical_representation\": [\"2022/04/05\", \"dinner\", \"fish and chips\", \"Jackson, Willow, Avery\"], \"text_template_based\": \"I prepare fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/04/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7922\", \"logical_representation\": [\"2022/04/05\", \"Olivia, Hazel, Nora\", \"in the early evening\", \"39 minutes\"], \"text_template_based\": \"I spent 39 talking to Olivia, Hazel, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Hazel, Nora in the early evening on 2022/04/05?\", \"39 minutes\"], [\"who did I talk to on 2022/04/05?\", \"Olivia, Hazel, Nora\"], [\"Did I talk to Olivia, Hazel, Nora on 2022/04/05?\", \"yes\"], [\"Did I talk to anyone on 2022/04/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/06\": {\"lunch\": {\"eid\": \"e7923\", \"logical_representation\": [\"2022/04/06\", \"lunch\", \"indian food\", \"Avery, Jackson, Willow\"], \"text_template_based\": \"I had lunch with Avery, Jackson, Willow. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/04/06?\", \"Avery, Jackson, Willow\"], [\"what did I eat for lunch on 2022/04/06\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2022/04/07\": {\"dinner\": {\"eid\": \"e7924\", \"logical_representation\": [\"2022/04/07\", \"dinner\", \"indian food\", \"Olivia, Hazel, Kinsley, Eva, Layla, Nora, Claire, Piper\"], \"text_template_based\": \"I had indian food for dinner with Olivia, Hazel, Kinsley, Eva, Layla, Nora, Claire, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/04/07?\", \"Olivia, Hazel, Kinsley, Eva, Layla, Nora, Claire, Piper\"], [\"what did I eat for dinner on 2022/04/07\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7925\", \"logical_representation\": [\"2022/04/07\", \"Nevaeh, Claire\", \"late in the evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Claire for 45 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Claire late in the evening on 2022/04/07?\", \"45 minutes\"], [\"who did I talk to on 2022/04/07?\", \"Nevaeh, Claire\"], [\"Did I talk to Nevaeh, Claire on 2022/04/07?\", \"yes\"], [\"Did I talk to anyone on 2022/04/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/08\": {\"dinner\": {\"eid\": \"e7926\", \"logical_representation\": [\"2022/04/08\", \"dinner\", \"chinese food\", \"Piper, Avery\"], \"text_template_based\": \"I ate chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/04/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7927\", \"logical_representation\": [\"2022/04/08\", \"Piper, Nevaeh, Kinsley\", \"in the early afternoon\", \"54 minutes\"], \"text_template_based\": \"I spent 54 talking to Piper, Nevaeh, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Nevaeh, Kinsley in the early afternoon on 2022/04/08?\", \"54 minutes\"], [\"who did I talk to on 2022/04/08?\", \"Piper, Nevaeh, Kinsley\"], [\"Did I talk to Piper, Nevaeh, Kinsley on 2022/04/08?\", \"yes\"], [\"Did I talk to anyone on 2022/04/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/12\": {\"lunch\": {\"eid\": \"e7932\", \"logical_representation\": [\"2022/04/12\", \"lunch\", \"tacos\", \"Benjamin\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/04/12\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2022/04/14\": {\"exercise\": {\"eid\": \"e7934\", \"logical_representation\": [\"2022/04/14\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/04/14.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/14?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7935\", \"logical_representation\": [\"2022/04/14\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I watched a tv series for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/14?\", \"22 minutes\"], [\"what did I watch on tv on 2022/04/14?\", \"a tv series\"], [\"Did I watch tv on 2022/04/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/16\": {\"read\": {\"eid\": \"e7939\", \"logical_representation\": [\"2022/04/16\", \"news\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/04/16?\", \"26 minutes\"], [\"what did I read on 2022/04/16?\", \"news\"], [\"Did I read on 2022/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7940\", \"logical_representation\": [\"2022/04/16\", \"a documentary\", \"29 minutes\"], \"text_template_based\": \"I spent 29 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/16?\", \"29 minutes\"], [\"what did I watch on tv on 2022/04/16?\", \"a documentary\"], [\"Did I watch tv on 2022/04/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/17\": {\"breakfast\": {\"eid\": \"e7941\", \"logical_representation\": [\"2022/04/17\", \"breakfast\", \"peanut-butter-jam\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/04/17\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7942\", \"logical_representation\": [\"2022/04/17\", \"lunch\", \"pasta\", \"Carter, Emily, Kayden, Andrew\"], \"text_template_based\": \"I had pasta for lunch with Carter, Emily, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/04/17?\", \"Carter, Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2022/04/17\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7943\", \"logical_representation\": [\"2022/04/17\", \"a documentary\", \"39 minutes\"], \"text_template_based\": \"I watched a documentary for 39 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/17?\", \"39 minutes\"], [\"what did I watch on tv on 2022/04/17?\", \"a documentary\"], [\"Did I watch tv on 2022/04/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/18\": {\"dinner\": {\"eid\": \"e7944\", \"logical_representation\": [\"2022/04/18\", \"dinner\", \"sushi\", \"Benjamin\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/04/18\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2022/04/22\": {\"exercise\": {\"eid\": \"e7949\", \"logical_representation\": [\"2022/04/22\", \"biking\"], \"text_template_based\": \"I did biking on 2022/04/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/22?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7950\", \"logical_representation\": [\"2022/04/22\", \"a book\", \"10 minutes\"], \"text_template_based\": \"I spent 10 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/04/22?\", \"10 minutes\"], [\"what did I read on 2022/04/22?\", \"a book\"], [\"Did I read on 2022/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7951\", \"logical_representation\": [\"2022/04/22\", \"a tv series\", \"7 minutes\"], \"text_template_based\": \"I spent 7 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/04/22?\", \"7 minutes\"], [\"what did I watch on tv on 2022/04/22?\", \"a tv series\"], [\"Did I watch tv on 2022/04/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/23\": {\"read\": {\"eid\": \"e7952\", \"logical_representation\": [\"2022/04/23\", \"a book\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/04/23?\", \"19 minutes\"], [\"what did I read on 2022/04/23?\", \"a book\"], [\"Did I read on 2022/04/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/24\": {\"exercise\": {\"eid\": \"e7953\", \"logical_representation\": [\"2022/04/24\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/04/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/04/24?\", \"HIIT\"]], \"multihop_qa_pairs\": []}}, \"2022/04/25\": {\"chat0\": {\"eid\": \"e7954\", \"logical_representation\": [\"2022/04/25\", \"Eva, Nora\", \"late in the evening\", \"32 minutes\"], \"text_template_based\": \"I talked to Eva, Nora for 32 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora late in the evening on 2022/04/25?\", \"32 minutes\"], [\"who did I talk to on 2022/04/25?\", \"Eva, Nora\"], [\"Did I talk to Eva, Nora on 2022/04/25?\", \"yes\"], [\"Did I talk to anyone on 2022/04/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/27\": {\"chat0\": {\"eid\": \"e7955\", \"logical_representation\": [\"2022/04/27\", \"Piper, Lydia, Hazel\", \"late in the evening\", \"19 minutes\"], \"text_template_based\": \"I talked to Piper, Lydia, Hazel for 19 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Lydia, Hazel late in the evening on 2022/04/27?\", \"19 minutes\"], [\"who did I talk to on 2022/04/27?\", \"Piper, Lydia, Hazel\"], [\"Did I talk to Piper, Lydia, Hazel on 2022/04/27?\", \"yes\"], [\"Did I talk to anyone on 2022/04/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/04/28\": {\"read\": {\"eid\": \"e7956\", \"logical_representation\": [\"2022/04/28\", \"news\", \"38 minutes\"], \"text_template_based\": \"I spent 38 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/04/28?\", \"38 minutes\"], [\"what did I read on 2022/04/28?\", \"news\"], [\"Did I read on 2022/04/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/02\": {\"chat0\": {\"eid\": \"e7958\", \"logical_representation\": [\"2022/05/02\", \"Hazel\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Hazel on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the morning on 2022/05/02?\", \"37 minutes\"], [\"who did I talk to on 2022/05/02?\", \"Hazel\"], [\"Did I talk to Hazel on 2022/05/02?\", \"yes\"], [\"Did I talk to anyone on 2022/05/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/03\": {\"lunch\": {\"eid\": \"e7959\", \"logical_representation\": [\"2022/05/03\", \"lunch\", \"steak\", \"Carter\"], \"text_template_based\": \"I had steak for lunch with Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/05/03?\", \"Carter\"], [\"what did I eat for lunch on 2022/05/03\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7960\", \"logical_representation\": [\"2022/05/03\", \"dinner\", \"fish and chips\", \"Carter, Emily, Andrew, Kayden\"], \"text_template_based\": \"I had fish and chips for dinner with Carter, Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/05/03?\", \"Carter, Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2022/05/03\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2022/05/05\": {\"dinner\": {\"eid\": \"e7961\", \"logical_representation\": [\"2022/05/05\", \"dinner\", \"steak\", \"Kinsley, Claire, Lydia, Hazel, Olivia\"], \"text_template_based\": \"I had steak for dinner with Kinsley, Claire, Lydia, Hazel, Olivia\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/05/05?\", \"Kinsley, Claire, Lydia, Hazel, Olivia\"], [\"what did I eat for dinner on 2022/05/05\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2022/05/06\": {\"lunch\": {\"eid\": \"e7962\", \"logical_representation\": [\"2022/05/06\", \"lunch\", \"chinese food\", \"Kayden, Carter\"], \"text_template_based\": \"I had lunch with Kayden, Carter. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/05/06?\", \"Kayden, Carter\"], [\"what did I eat for lunch on 2022/05/06\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2022/05/07\": {\"exercise\": {\"eid\": \"e7963\", \"logical_representation\": [\"2022/05/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/05/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7964\", \"logical_representation\": [\"2022/05/07\", \"breakfast\", \"pancakes\", \"Emily\"], \"text_template_based\": \"I prepare pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/07\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7965\", \"logical_representation\": [\"2022/05/07\", \"dinner\", \"fish and chips\", \"Kayden, Emily, Andrew, Carter\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/07\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2022/05/08\": {\"breakfast\": {\"eid\": \"e7966\", \"logical_representation\": [\"2022/05/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/05/08?\", \"Kayden, Emily\"], [\"what did I eat for breakfast on 2022/05/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7967\", \"logical_representation\": [\"2022/05/08\", \"dinner\", \"tacos\", \"Piper, Claire, Layla, Rylee, Hazel, Piper, Eva, Olivia, Lydia, Kinsley, Nora, Avery\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/08\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7968\", \"logical_representation\": [\"2022/05/08\", \"news\", \"55 minutes\"], \"text_template_based\": \"I spent 55 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/05/08?\", \"55 minutes\"], [\"what did I read on 2022/05/08?\", \"news\"], [\"Did I read on 2022/05/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/09\": {\"chat0\": {\"eid\": \"e7969\", \"logical_representation\": [\"2022/05/09\", \"Rylee\", \"in the late afternoon\", \"38 minutes\"], \"text_template_based\": \"I spent 38 talking to Rylee on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the late afternoon on 2022/05/09?\", \"38 minutes\"], [\"who did I talk to on 2022/05/09?\", \"Rylee\"], [\"Did I talk to Rylee on 2022/05/09?\", \"yes\"], [\"Did I talk to anyone on 2022/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7970\", \"logical_representation\": [\"2022/05/09\", \"a documentary\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/09?\", \"19 minutes\"], [\"what did I watch on tv on 2022/05/09?\", \"a documentary\"], [\"Did I watch tv on 2022/05/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/10\": {\"lunch\": {\"eid\": \"e7971\", \"logical_representation\": [\"2022/05/10\", \"lunch\", \"chinese food\", \"Carter, Kayden, Andrew\"], \"text_template_based\": \"I had chinese food for lunch with Carter, Kayden, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/05/10?\", \"Carter, Kayden, Andrew\"], [\"what did I eat for lunch on 2022/05/10\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7972\", \"logical_representation\": [\"2022/05/10\", \"dinner\", \"tacos\", \"Carter, Kayden\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/10\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7973\", \"logical_representation\": [\"2022/05/10\", \"Piper, Piper\", \"during lunch hours\", \"32 minutes\"], \"text_template_based\": \"I talked to Piper, Piper for 32 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Piper during lunch hours on 2022/05/10?\", \"32 minutes\"], [\"who did I talk to on 2022/05/10?\", \"Piper, Piper\"], [\"Did I talk to Piper, Piper on 2022/05/10?\", \"yes\"], [\"Did I talk to anyone on 2022/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7974\", \"logical_representation\": [\"2022/05/10\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/05/10?\", \"32 minutes\"], [\"what did I read on 2022/05/10?\", \"news\"], [\"Did I read on 2022/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7975\", \"logical_representation\": [\"2022/05/10\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I watched a movie for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/10?\", \"22 minutes\"], [\"what did I watch on tv on 2022/05/10?\", \"a movie\"], [\"Did I watch tv on 2022/05/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/11\": {\"lunch\": {\"eid\": \"e7976\", \"logical_representation\": [\"2022/05/11\", \"lunch\", \"chinese food\", \"Andrew\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/05/11\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e7977\", \"logical_representation\": [\"2022/05/11\", \"dinner\", \"pasta\", \"Emily, Carter, Andrew, Kayden\"], \"text_template_based\": \"I had dinner. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/11\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e7978\", \"logical_representation\": [\"2022/05/11\", \"a book\", \"8 minutes\"], \"text_template_based\": \"I spent 8 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/05/11?\", \"8 minutes\"], [\"what did I read on 2022/05/11?\", \"a book\"], [\"Did I read on 2022/05/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/14\": {\"chat0\": {\"eid\": \"e7980\", \"logical_representation\": [\"2022/05/14\", \"Olivia, Lydia, Kinsley, Piper\", \"in the early evening\", \"45 minutes\"], \"text_template_based\": \"I talked to Olivia, Lydia, Kinsley, Piper for 45 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Lydia, Kinsley, Piper in the early evening on 2022/05/14?\", \"45 minutes\"], [\"who did I talk to on 2022/05/14?\", \"Olivia, Lydia, Kinsley, Piper\"], [\"Did I talk to Olivia, Lydia, Kinsley, Piper on 2022/05/14?\", \"yes\"], [\"Did I talk to anyone on 2022/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7981\", \"logical_representation\": [\"2022/05/14\", \"a tv series\", \"35 minutes\"], \"text_template_based\": \"I spent 35 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/14?\", \"35 minutes\"], [\"what did I watch on tv on 2022/05/14?\", \"a tv series\"], [\"Did I watch tv on 2022/05/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/16\": {\"exercise\": {\"eid\": \"e7984\", \"logical_representation\": [\"2022/05/16\", \"running\"], \"text_template_based\": \"I did running on 2022/05/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/16?\", \"running\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e7985\", \"logical_representation\": [\"2022/05/16\", \"lunch\", \"sandwich\", \"Emily, Kayden\"], \"text_template_based\": \"I had sandwich for lunch with Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/05/16?\", \"Emily, Kayden\"], [\"what did I eat for lunch on 2022/05/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7986\", \"logical_representation\": [\"2022/05/16\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I watched a movie for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/16?\", \"10 minutes\"], [\"what did I watch on tv on 2022/05/16?\", \"a movie\"], [\"Did I watch tv on 2022/05/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/17\": {\"exercise\": {\"eid\": \"e7987\", \"logical_representation\": [\"2022/05/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/05/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e7988\", \"logical_representation\": [\"2022/05/17\", \"breakfast\", \"oatmeal\", \"Olivia, Layla, Claire, Lydia, Eva, Rylee\"], \"text_template_based\": \"I had breakfast. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/17\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7989\", \"logical_representation\": [\"2022/05/17\", \"Hazel, Claire\", \"during lunch hours\", \"44 minutes\"], \"text_template_based\": \"I talked to Hazel, Claire for 44 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Claire during lunch hours on 2022/05/17?\", \"44 minutes\"], [\"who did I talk to on 2022/05/17?\", \"Hazel, Claire\"], [\"Did I talk to Hazel, Claire on 2022/05/17?\", \"yes\"], [\"Did I talk to anyone on 2022/05/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/19\": {\"breakfast\": {\"eid\": \"e7990\", \"logical_representation\": [\"2022/05/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Layla, Lydia, Olivia, Rylee, Piper, Claire, Hazel, Nora, Eva, Piper, Nevaeh\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7991\", \"logical_representation\": [\"2022/05/19\", \"Nora, Avery, Lydia, Rylee\", \"in the early afternoon\", \"20 minutes\"], \"text_template_based\": \"I spent 20 talking to Nora, Avery, Lydia, Rylee on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Avery, Lydia, Rylee in the early afternoon on 2022/05/19?\", \"20 minutes\"], [\"who did I talk to on 2022/05/19?\", \"Nora, Avery, Lydia, Rylee\"], [\"Did I talk to Nora, Avery, Lydia, Rylee on 2022/05/19?\", \"yes\"], [\"Did I talk to anyone on 2022/05/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/21\": {\"breakfast\": {\"eid\": \"e7992\", \"logical_representation\": [\"2022/05/21\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Jackson\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/21\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7993\", \"logical_representation\": [\"2022/05/21\", \"Piper\", \"in the early evening\", \"20 minutes\"], \"text_template_based\": \"I talked to Piper for 20 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the early evening on 2022/05/21?\", \"20 minutes\"], [\"who did I talk to on 2022/05/21?\", \"Piper\"], [\"Did I talk to Piper on 2022/05/21?\", \"yes\"], [\"Did I talk to anyone on 2022/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7994\", \"logical_representation\": [\"2022/05/21\", \"a tv series\", \"13 minutes\"], \"text_template_based\": \"I spent 13 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/21?\", \"13 minutes\"], [\"what did I watch on tv on 2022/05/21?\", \"a tv series\"], [\"Did I watch tv on 2022/05/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/23\": {\"dinner\": {\"eid\": \"e7996\", \"logical_representation\": [\"2022/05/23\", \"dinner\", \"pasta\", \"Emily, Andrew, Kayden\"], \"text_template_based\": \"I had pasta for dinner with Emily, Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/05/23?\", \"Emily, Andrew, Kayden\"], [\"what did I eat for dinner on 2022/05/23\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2022/05/25\": {\"exercise\": {\"eid\": \"e7997\", \"logical_representation\": [\"2022/05/25\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/05/25.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/05/25?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e7998\", \"logical_representation\": [\"2022/05/25\", \"Nevaeh\", \"during lunch hours\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Nevaeh on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh during lunch hours on 2022/05/25?\", \"33 minutes\"], [\"who did I talk to on 2022/05/25?\", \"Nevaeh\"], [\"Did I talk to Nevaeh on 2022/05/25?\", \"yes\"], [\"Did I talk to anyone on 2022/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e7999\", \"logical_representation\": [\"2022/05/25\", \"news\", \"7 minutes\"], \"text_template_based\": \"I watched news for 7 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/05/25?\", \"7 minutes\"], [\"what did I watch on tv on 2022/05/25?\", \"news\"], [\"Did I watch tv on 2022/05/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/26\": {\"breakfast\": {\"eid\": \"e8000\", \"logical_representation\": [\"2022/05/26\", \"breakfast\", \"cereals\", \"Claire, Lydia, Kinsley, Avery\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/26\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2022/05/28\": {\"dinner\": {\"eid\": \"e8001\", \"logical_representation\": [\"2022/05/28\", \"dinner\", \"a burger\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had a burger for dinner with Kayden, Andrew, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/05/28?\", \"Kayden, Andrew, Carter\"], [\"what did I eat for dinner on 2022/05/28\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2022/05/29\": {\"breakfast\": {\"eid\": \"e8002\", \"logical_representation\": [\"2022/05/29\", \"breakfast\", \"toast and cheese\", \"Olivia\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8003\", \"logical_representation\": [\"2022/05/29\", \"Layla, Olivia, Nora, Piper\", \"late in the evening\", \"13 minutes\"], \"text_template_based\": \"I talked to Layla, Olivia, Nora, Piper for 13 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Olivia, Nora, Piper late in the evening on 2022/05/29?\", \"13 minutes\"], [\"who did I talk to on 2022/05/29?\", \"Layla, Olivia, Nora, Piper\"], [\"Did I talk to Layla, Olivia, Nora, Piper on 2022/05/29?\", \"yes\"], [\"Did I talk to anyone on 2022/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8004\", \"logical_representation\": [\"2022/05/29\", \"social media\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/05/29?\", \"12 minutes\"], [\"what did I read on 2022/05/29?\", \"social media\"], [\"Did I read on 2022/05/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/30\": {\"lunch\": {\"eid\": \"e8005\", \"logical_representation\": [\"2022/05/30\", \"lunch\", \"fish and chips\", \"Benjamin\"], \"text_template_based\": \"I had lunch. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/05/30\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8006\", \"logical_representation\": [\"2022/05/30\", \"Nevaeh, Layla\", \"in the early evening\", \"22 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Layla for 22 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Layla in the early evening on 2022/05/30?\", \"22 minutes\"], [\"who did I talk to on 2022/05/30?\", \"Nevaeh, Layla\"], [\"Did I talk to Nevaeh, Layla on 2022/05/30?\", \"yes\"], [\"Did I talk to anyone on 2022/05/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/05/31\": {\"breakfast\": {\"eid\": \"e8007\", \"logical_representation\": [\"2022/05/31\", \"breakfast\", \"toast and cheese\", \"Andrew\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/05/31\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8008\", \"logical_representation\": [\"2022/05/31\", \"dinner\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/05/31\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8009\", \"logical_representation\": [\"2022/05/31\", \"Eva, Rylee, Avery\", \"late in the evening\", \"41 minutes\"], \"text_template_based\": \"I talked to Eva, Rylee, Avery for 41 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Rylee, Avery late in the evening on 2022/05/31?\", \"41 minutes\"], [\"who did I talk to on 2022/05/31?\", \"Eva, Rylee, Avery\"], [\"Did I talk to Eva, Rylee, Avery on 2022/05/31?\", \"yes\"], [\"Did I talk to anyone on 2022/05/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/02\": {\"breakfast\": {\"eid\": \"e8010\", \"logical_representation\": [\"2022/06/02\", \"breakfast\", \"toast and cheese\", \"Kayden, Emily\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/06/02\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8011\", \"logical_representation\": [\"2022/06/02\", \"a movie\", \"10 minutes\"], \"text_template_based\": \"I watched a movie for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/02?\", \"10 minutes\"], [\"what did I watch on tv on 2022/06/02?\", \"a movie\"], [\"Did I watch tv on 2022/06/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/04\": {\"chat0\": {\"eid\": \"e8013\", \"logical_representation\": [\"2022/06/04\", \"Avery, Nora, Claire, Kinsley\", \"during lunch hours\", \"35 minutes\"], \"text_template_based\": \"I talked to Avery, Nora, Claire, Kinsley for 35 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Nora, Claire, Kinsley during lunch hours on 2022/06/04?\", \"35 minutes\"], [\"who did I talk to on 2022/06/04?\", \"Avery, Nora, Claire, Kinsley\"], [\"Did I talk to Avery, Nora, Claire, Kinsley on 2022/06/04?\", \"yes\"], [\"Did I talk to anyone on 2022/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8014\", \"logical_representation\": [\"2022/06/04\", \"news\", \"19 minutes\"], \"text_template_based\": \"I spent 19 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/06/04?\", \"19 minutes\"], [\"what did I read on 2022/06/04?\", \"news\"], [\"Did I read on 2022/06/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/05\": {\"breakfast\": {\"eid\": \"e8015\", \"logical_representation\": [\"2022/06/05\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Kayden, Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Carter, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/06/05?\", \"Carter, Kayden, Emily\"], [\"what did I eat for breakfast on 2022/06/05\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8016\", \"logical_representation\": [\"2022/06/05\", \"dinner\", \"fish and chips\", \"Eva, Piper, Nevaeh, Piper, Kinsley, Layla, Olivia, Nora, Lydia, Avery\"], \"text_template_based\": \"I had fish and chips for dinner with Eva, Piper, Nevaeh, Piper, Kinsley, Layla, Olivia, Nora, Lydia, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/06/05?\", \"Eva, Piper, Nevaeh, Piper, Kinsley, Layla, Olivia, Nora, Lydia, Avery\"], [\"what did I eat for dinner on 2022/06/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8017\", \"logical_representation\": [\"2022/06/05\", \"a movie\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/05?\", \"27 minutes\"], [\"what did I watch on tv on 2022/06/05?\", \"a movie\"], [\"Did I watch tv on 2022/06/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/06\": {\"lunch\": {\"eid\": \"e8018\", \"logical_representation\": [\"2022/06/06\", \"lunch\", \"fish and chips\", \"Kayden\"], \"text_template_based\": \"I had fish and chips for lunch with Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/06/06?\", \"Kayden\"], [\"what did I eat for lunch on 2022/06/06\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8019\", \"logical_representation\": [\"2022/06/06\", \"a book\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/06/06?\", \"36 minutes\"], [\"what did I read on 2022/06/06?\", \"a book\"], [\"Did I read on 2022/06/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/10\": {\"breakfast\": {\"eid\": \"e8022\", \"logical_representation\": [\"2022/06/10\", \"breakfast\", \"pancakes\", \"Willow\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/06/10\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8023\", \"logical_representation\": [\"2022/06/10\", \"Nevaeh, Piper, Kinsley\", \"during lunch hours\", \"9 minutes\"], \"text_template_based\": \"I spent 9 talking to Nevaeh, Piper, Kinsley on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Kinsley during lunch hours on 2022/06/10?\", \"9 minutes\"], [\"who did I talk to on 2022/06/10?\", \"Nevaeh, Piper, Kinsley\"], [\"Did I talk to Nevaeh, Piper, Kinsley on 2022/06/10?\", \"yes\"], [\"Did I talk to anyone on 2022/06/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/11\": {\"breakfast\": {\"eid\": \"e8024\", \"logical_representation\": [\"2022/06/11\", \"breakfast\", \"cereals\", \"Piper, Nevaeh, Piper, Lydia, Layla, Olivia, Rylee, Nora, Eva, Claire\"], \"text_template_based\": \"I had cereals for breakfast with Piper, Nevaeh, Piper, Lydia, Layla, Olivia, Rylee, Nora, Eva, Claire\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/06/11?\", \"Piper, Nevaeh, Piper, Lydia, Layla, Olivia, Rylee, Nora, Eva, Claire\"], [\"what did I eat for breakfast on 2022/06/11\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2022/06/12\": {\"breakfast\": {\"eid\": \"e8025\", \"logical_representation\": [\"2022/06/12\", \"breakfast\", \"cereals\", \"Eva\"], \"text_template_based\": \"I had breakfast with Eva. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/06/12?\", \"Eva\"], [\"what did I eat for breakfast on 2022/06/12\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2022/06/13\": {\"dinner\": {\"eid\": \"e8026\", \"logical_representation\": [\"2022/06/13\", \"dinner\", \"pasta\", \"Avery, Willow\"], \"text_template_based\": \"I had pasta for dinner with Avery, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/06/13?\", \"Avery, Willow\"], [\"what did I eat for dinner on 2022/06/13\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8027\", \"logical_representation\": [\"2022/06/13\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/06/13?\", \"6 minutes\"], [\"what did I read on 2022/06/13?\", \"social media\"], [\"Did I read on 2022/06/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/14\": {\"lunch\": {\"eid\": \"e8028\", \"logical_representation\": [\"2022/06/14\", \"lunch\", \"fish and chips\", \"Piper\"], \"text_template_based\": \"I had lunch with Piper. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/06/14?\", \"Piper\"], [\"what did I eat for lunch on 2022/06/14\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2022/06/16\": {\"exercise\": {\"eid\": \"e8029\", \"logical_representation\": [\"2022/06/16\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/06/16.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/06/16?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8030\", \"logical_representation\": [\"2022/06/16\", \"lunch\", \"sandwich\", \"Emily, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Andrew. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/06/16?\", \"Emily, Andrew\"], [\"what did I eat for lunch on 2022/06/16\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2022/06/17\": {\"read\": {\"eid\": \"e8031\", \"logical_representation\": [\"2022/06/17\", \"a book\", \"42 minutes\"], \"text_template_based\": \"I spent 42 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/06/17?\", \"42 minutes\"], [\"what did I read on 2022/06/17?\", \"a book\"], [\"Did I read on 2022/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8032\", \"logical_representation\": [\"2022/06/17\", \"a tv series\", \"23 minutes\"], \"text_template_based\": \"I watched a tv series for 23 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/17?\", \"23 minutes\"], [\"what did I watch on tv on 2022/06/17?\", \"a tv series\"], [\"Did I watch tv on 2022/06/17?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/21\": {\"read\": {\"eid\": \"e8033\", \"logical_representation\": [\"2022/06/21\", \"a book\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/06/21?\", \"48 minutes\"], [\"what did I read on 2022/06/21?\", \"a book\"], [\"Did I read on 2022/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8034\", \"logical_representation\": [\"2022/06/21\", \"news\", \"32 minutes\"], \"text_template_based\": \"I spent 32 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/06/21?\", \"32 minutes\"], [\"what did I watch on tv on 2022/06/21?\", \"news\"], [\"Did I watch tv on 2022/06/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/25\": {\"lunch\": {\"eid\": \"e8035\", \"logical_representation\": [\"2022/06/25\", \"lunch\", \"sandwich\", \"Claire, Eva, Layla, Kinsley, Avery, Rylee, Piper, Piper, Hazel\"], \"text_template_based\": \"I had sandwich for lunch with Claire, Eva, Layla, Kinsley, Avery, Rylee, Piper, Piper, Hazel\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/06/25?\", \"Claire, Eva, Layla, Kinsley, Avery, Rylee, Piper, Piper, Hazel\"], [\"what did I eat for lunch on 2022/06/25\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2022/06/26\": {\"breakfast\": {\"eid\": \"e8036\", \"logical_representation\": [\"2022/06/26\", \"breakfast\", \"cereals\", \"Lydia, Piper, Hazel, Olivia, Claire, Nevaeh, Layla, Nora, Avery, Eva, Piper, Rylee\"], \"text_template_based\": \"I ate cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/06/26\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8037\", \"logical_representation\": [\"2022/06/26\", \"lunch\", \"indian food\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had lunch with Emily, Kayden, Andrew. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/06/26?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for lunch on 2022/06/26\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8038\", \"logical_representation\": [\"2022/06/26\", \"dinner\", \"a burger\", \"Willow, Jackson, Avery, Benjamin\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/06/26\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2022/06/28\": {\"chat0\": {\"eid\": \"e8041\", \"logical_representation\": [\"2022/06/28\", \"Hazel\", \"late in the evening\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Hazel on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel late in the evening on 2022/06/28?\", \"6 minutes\"], [\"who did I talk to on 2022/06/28?\", \"Hazel\"], [\"Did I talk to Hazel on 2022/06/28?\", \"yes\"], [\"Did I talk to anyone on 2022/06/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/06/29\": {\"breakfast\": {\"eid\": \"e8042\", \"logical_representation\": [\"2022/06/29\", \"breakfast\", \"toast and cheese\", \"Andrew, Carter, Kayden\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/06/29\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2022/06/30\": {\"breakfast\": {\"eid\": \"e8043\", \"logical_representation\": [\"2022/06/30\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin, Willow, Avery, Jackson\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/06/30\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8044\", \"logical_representation\": [\"2022/06/30\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/06/30?\", \"54 minutes\"], [\"what did I read on 2022/06/30?\", \"news\"], [\"Did I read on 2022/06/30?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/02\": {\"watch tv\": {\"eid\": \"e8048\", \"logical_representation\": [\"2022/07/02\", \"news\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/02?\", \"40 minutes\"], [\"what did I watch on tv on 2022/07/02?\", \"news\"], [\"Did I watch tv on 2022/07/02?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/03\": {\"watch tv\": {\"eid\": \"e8049\", \"logical_representation\": [\"2022/07/03\", \"a tv series\", \"10 minutes\"], \"text_template_based\": \"I watched a tv series for 10 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/03?\", \"10 minutes\"], [\"what did I watch on tv on 2022/07/03?\", \"a tv series\"], [\"Did I watch tv on 2022/07/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/04\": {\"read\": {\"eid\": \"e8050\", \"logical_representation\": [\"2022/07/04\", \"a book\", \"50 minutes\"], \"text_template_based\": \"I spent 50 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/07/04?\", \"50 minutes\"], [\"what did I read on 2022/07/04?\", \"a book\"], [\"Did I read on 2022/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8051\", \"logical_representation\": [\"2022/07/04\", \"a tv series\", \"20 minutes\"], \"text_template_based\": \"I watched a tv series for 20 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/04?\", \"20 minutes\"], [\"what did I watch on tv on 2022/07/04?\", \"a tv series\"], [\"Did I watch tv on 2022/07/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/05\": {\"lunch\": {\"eid\": \"e8052\", \"logical_representation\": [\"2022/07/05\", \"lunch\", \"tacos\", \"Carter, Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/07/05\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8053\", \"logical_representation\": [\"2022/07/05\", \"a book\", \"46 minutes\"], \"text_template_based\": \"I spent 46 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/07/05?\", \"46 minutes\"], [\"what did I read on 2022/07/05?\", \"a book\"], [\"Did I read on 2022/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8054\", \"logical_representation\": [\"2022/07/05\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/05?\", \"6 minutes\"], [\"what did I watch on tv on 2022/07/05?\", \"news\"], [\"Did I watch tv on 2022/07/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/06\": {\"breakfast\": {\"eid\": \"e8055\", \"logical_representation\": [\"2022/07/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Carter, Emily, Kayden\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/07/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8056\", \"logical_representation\": [\"2022/07/06\", \"Nora, Rylee\", \"in the early evening\", \"47 minutes\"], \"text_template_based\": \"I spent 47 talking to Nora, Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Rylee in the early evening on 2022/07/06?\", \"47 minutes\"], [\"who did I talk to on 2022/07/06?\", \"Nora, Rylee\"], [\"Did I talk to Nora, Rylee on 2022/07/06?\", \"yes\"], [\"Did I talk to anyone on 2022/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8057\", \"logical_representation\": [\"2022/07/06\", \"social media\", \"27 minutes\"], \"text_template_based\": \"I spent 27 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/07/06?\", \"27 minutes\"], [\"what did I read on 2022/07/06?\", \"social media\"], [\"Did I read on 2022/07/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/07\": {\"exercise\": {\"eid\": \"e8058\", \"logical_representation\": [\"2022/07/07\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/07/07.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/07?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8059\", \"logical_representation\": [\"2022/07/07\", \"Avery, Lydia, Claire, Rylee\", \"during lunch hours\", \"40 minutes\"], \"text_template_based\": \"I spent 40 talking to Avery, Lydia, Claire, Rylee on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Lydia, Claire, Rylee during lunch hours on 2022/07/07?\", \"40 minutes\"], [\"who did I talk to on 2022/07/07?\", \"Avery, Lydia, Claire, Rylee\"], [\"Did I talk to Avery, Lydia, Claire, Rylee on 2022/07/07?\", \"yes\"], [\"Did I talk to anyone on 2022/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8060\", \"logical_representation\": [\"2022/07/07\", \"a movie\", \"17 minutes\"], \"text_template_based\": \"I spent 17 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/07?\", \"17 minutes\"], [\"what did I watch on tv on 2022/07/07?\", \"a movie\"], [\"Did I watch tv on 2022/07/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/10\": {\"breakfast\": {\"eid\": \"e8063\", \"logical_representation\": [\"2022/07/10\", \"breakfast\", \"toast and cheese\", \"Piper, Eva, Rylee, Kinsley, Nora, Hazel\"], \"text_template_based\": \"I ate toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/07/10\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}}, \"2022/07/13\": {\"watch tv\": {\"eid\": \"e8067\", \"logical_representation\": [\"2022/07/13\", \"news\", \"24 minutes\"], \"text_template_based\": \"I watched news for 24 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/13?\", \"24 minutes\"], [\"what did I watch on tv on 2022/07/13?\", \"news\"], [\"Did I watch tv on 2022/07/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/16\": {\"social media\": {\"eid\": \"e8069\", \"logical_representation\": [\"2022/07/16\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/07/16?\", \"48 minutes\"], [\"what did I read on 2022/07/16?\", \"social media\"], [\"Did I read on 2022/07/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/17\": {\"exercise\": {\"eid\": \"e8070\", \"logical_representation\": [\"2022/07/17\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/07/17.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/17?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8071\", \"logical_representation\": [\"2022/07/17\", \"dinner\", \"fish and chips\", \"Willow\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/07/17\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2022/07/19\": {\"dinner\": {\"eid\": \"e8072\", \"logical_representation\": [\"2022/07/19\", \"dinner\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/07/19\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2022/07/21\": {\"chat0\": {\"eid\": \"e8073\", \"logical_representation\": [\"2022/07/21\", \"Avery, Piper, Claire, Hazel\", \"in the late afternoon\", \"45 minutes\"], \"text_template_based\": \"I spent 45 talking to Avery, Piper, Claire, Hazel on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Piper, Claire, Hazel in the late afternoon on 2022/07/21?\", \"45 minutes\"], [\"who did I talk to on 2022/07/21?\", \"Avery, Piper, Claire, Hazel\"], [\"Did I talk to Avery, Piper, Claire, Hazel on 2022/07/21?\", \"yes\"], [\"Did I talk to anyone on 2022/07/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/22\": {\"exercise\": {\"eid\": \"e8074\", \"logical_representation\": [\"2022/07/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/07/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2022/07/23\": {\"exercise\": {\"eid\": \"e8075\", \"logical_representation\": [\"2022/07/23\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/07/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/23?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8076\", \"logical_representation\": [\"2022/07/23\", \"news\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/07/23?\", \"6 minutes\"], [\"what did I read on 2022/07/23?\", \"news\"], [\"Did I read on 2022/07/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/24\": {\"exercise\": {\"eid\": \"e8077\", \"logical_representation\": [\"2022/07/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/07/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8078\", \"logical_representation\": [\"2022/07/24\", \"lunch\", \"tacos\", \"Avery\"], \"text_template_based\": \"I had lunch with Avery. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/07/24?\", \"Avery\"], [\"what did I eat for lunch on 2022/07/24\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2022/07/26\": {\"exercise\": {\"eid\": \"e8081\", \"logical_representation\": [\"2022/07/26\", \"biking\"], \"text_template_based\": \"I did biking on 2022/07/26.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/07/26?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8082\", \"logical_representation\": [\"2022/07/26\", \"dinner\", \"sushi\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Emily. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/07/26?\", \"Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2022/07/26\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2022/07/27\": {\"chat0\": {\"eid\": \"e8083\", \"logical_representation\": [\"2022/07/27\", \"Olivia\", \"in the late afternoon\", \"30 minutes\"], \"text_template_based\": \"I talked to Olivia for 30 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the late afternoon on 2022/07/27?\", \"30 minutes\"], [\"who did I talk to on 2022/07/27?\", \"Olivia\"], [\"Did I talk to Olivia on 2022/07/27?\", \"yes\"], [\"Did I talk to anyone on 2022/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8084\", \"logical_representation\": [\"2022/07/27\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/07/27?\", \"48 minutes\"], [\"what did I read on 2022/07/27?\", \"social media\"], [\"Did I read on 2022/07/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/28\": {\"dinner\": {\"eid\": \"e8085\", \"logical_representation\": [\"2022/07/28\", \"dinner\", \"a burger\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had dinner with Andrew, Kayden, Carter, Emily. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/07/28?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for dinner on 2022/07/28\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2022/07/29\": {\"breakfast\": {\"eid\": \"e8086\", \"logical_representation\": [\"2022/07/29\", \"breakfast\", \"peanut-butter-jam\", \"Benjamin\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Benjamin\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/07/29?\", \"Benjamin\"], [\"what did I eat for breakfast on 2022/07/29\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8087\", \"logical_representation\": [\"2022/07/29\", \"news\", \"46 minutes\"], \"text_template_based\": \"I watched news for 46 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/29?\", \"46 minutes\"], [\"what did I watch on tv on 2022/07/29?\", \"news\"], [\"Did I watch tv on 2022/07/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/07/31\": {\"watch tv\": {\"eid\": \"e8088\", \"logical_representation\": [\"2022/07/31\", \"a documentary\", \"53 minutes\"], \"text_template_based\": \"I watched a documentary for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/07/31?\", \"53 minutes\"], [\"what did I watch on tv on 2022/07/31?\", \"a documentary\"], [\"Did I watch tv on 2022/07/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/02\": {\"lunch\": {\"eid\": \"e8089\", \"logical_representation\": [\"2022/08/02\", \"lunch\", \"sushi\", \"Claire, Piper\"], \"text_template_based\": \"I ate sushi for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/08/02\", \"sushi\"]], \"multihop_qa_pairs\": []}}, \"2022/08/04\": {\"dinner\": {\"eid\": \"e8091\", \"logical_representation\": [\"2022/08/04\", \"dinner\", \"a burger\", \"Avery, Jackson, Benjamin, Willow\"], \"text_template_based\": \"I had a burger for dinner with Avery, Jackson, Benjamin, Willow\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/08/04?\", \"Avery, Jackson, Benjamin, Willow\"], [\"what did I eat for dinner on 2022/08/04\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2022/08/08\": {\"breakfast\": {\"eid\": \"e8097\", \"logical_representation\": [\"2022/08/08\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/08/08?\", \"Andrew\"], [\"what did I eat for breakfast on 2022/08/08\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8098\", \"logical_representation\": [\"2022/08/08\", \"dinner\", \"chinese food\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I had dinner. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/08/08\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8099\", \"logical_representation\": [\"2022/08/08\", \"Nora\", \"in the early evening\", \"35 minutes\"], \"text_template_based\": \"I talked to Nora for 35 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora in the early evening on 2022/08/08?\", \"35 minutes\"], [\"who did I talk to on 2022/08/08?\", \"Nora\"], [\"Did I talk to Nora on 2022/08/08?\", \"yes\"], [\"Did I talk to anyone on 2022/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8100\", \"logical_representation\": [\"2022/08/08\", \"social media\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/08/08?\", \"36 minutes\"], [\"what did I read on 2022/08/08?\", \"social media\"], [\"Did I read on 2022/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8101\", \"logical_representation\": [\"2022/08/08\", \"a tv series\", \"5 minutes\"], \"text_template_based\": \"I watched a tv series for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/08?\", \"5 minutes\"], [\"what did I watch on tv on 2022/08/08?\", \"a tv series\"], [\"Did I watch tv on 2022/08/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/10\": {\"lunch\": {\"eid\": \"e8102\", \"logical_representation\": [\"2022/08/10\", \"lunch\", \"indian food\", \"Jackson, Willow, Benjamin, Avery\"], \"text_template_based\": \"I had indian food for lunch with Jackson, Willow, Benjamin, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/08/10?\", \"Jackson, Willow, Benjamin, Avery\"], [\"what did I eat for lunch on 2022/08/10\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2022/08/11\": {\"lunch\": {\"eid\": \"e8103\", \"logical_representation\": [\"2022/08/11\", \"lunch\", \"sushi\", \"Carter, Andrew, Emily, Kayden\"], \"text_template_based\": \"I had lunch with Carter, Andrew, Emily, Kayden. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/08/11?\", \"Carter, Andrew, Emily, Kayden\"], [\"what did I eat for lunch on 2022/08/11\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8104\", \"logical_representation\": [\"2022/08/11\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/08/11?\", \"49 minutes\"], [\"what did I read on 2022/08/11?\", \"social media\"], [\"Did I read on 2022/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8105\", \"logical_representation\": [\"2022/08/11\", \"a tv series\", \"22 minutes\"], \"text_template_based\": \"I watched a tv series for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/11?\", \"22 minutes\"], [\"what did I watch on tv on 2022/08/11?\", \"a tv series\"], [\"Did I watch tv on 2022/08/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/14\": {\"chat0\": {\"eid\": \"e8108\", \"logical_representation\": [\"2022/08/14\", \"Avery, Hazel\", \"during lunch hours\", \"20 minutes\"], \"text_template_based\": \"I talked to Avery, Hazel for 20 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Hazel during lunch hours on 2022/08/14?\", \"20 minutes\"], [\"who did I talk to on 2022/08/14?\", \"Avery, Hazel\"], [\"Did I talk to Avery, Hazel on 2022/08/14?\", \"yes\"], [\"Did I talk to anyone on 2022/08/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/15\": {\"dinner\": {\"eid\": \"e8109\", \"logical_representation\": [\"2022/08/15\", \"dinner\", \"a burger\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/08/15\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2022/08/18\": {\"dinner\": {\"eid\": \"e8110\", \"logical_representation\": [\"2022/08/18\", \"dinner\", \"steak\", \"Layla, Eva, Olivia, Rylee, Claire, Nevaeh, Kinsley, Nora, Lydia, Hazel, Avery\"], \"text_template_based\": \"I had dinner with Layla, Eva, Olivia, Rylee, Claire, Nevaeh, Kinsley, Nora, Lydia, Hazel, Avery. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/08/18?\", \"Layla, Eva, Olivia, Rylee, Claire, Nevaeh, Kinsley, Nora, Lydia, Hazel, Avery\"], [\"what did I eat for dinner on 2022/08/18\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2022/08/19\": {\"breakfast\": {\"eid\": \"e8111\", \"logical_representation\": [\"2022/08/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/08/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8112\", \"logical_representation\": [\"2022/08/19\", \"lunch\", \"a burger\", \"Claire, Nevaeh, Hazel, Avery, Eva, Kinsley, Piper, Olivia, Piper\"], \"text_template_based\": \"I had a burger for lunch with Claire, Nevaeh, Hazel, Avery, Eva, Kinsley, Piper, Olivia, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/08/19?\", \"Claire, Nevaeh, Hazel, Avery, Eva, Kinsley, Piper, Olivia, Piper\"], [\"what did I eat for lunch on 2022/08/19\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2022/08/20\": {\"chat0\": {\"eid\": \"e8113\", \"logical_representation\": [\"2022/08/20\", \"Olivia, Avery, Nevaeh\", \"in the morning\", \"21 minutes\"], \"text_template_based\": \"I spent 21 talking to Olivia, Avery, Nevaeh on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia, Avery, Nevaeh in the morning on 2022/08/20?\", \"21 minutes\"], [\"who did I talk to on 2022/08/20?\", \"Olivia, Avery, Nevaeh\"], [\"Did I talk to Olivia, Avery, Nevaeh on 2022/08/20?\", \"yes\"], [\"Did I talk to anyone on 2022/08/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/21\": {\"dinner\": {\"eid\": \"e8114\", \"logical_representation\": [\"2022/08/21\", \"dinner\", \"steak\", \"Emily\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/08/21\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2022/08/23\": {\"chat0\": {\"eid\": \"e8116\", \"logical_representation\": [\"2022/08/23\", \"Claire, Olivia, Rylee\", \"late in the evening\", \"7 minutes\"], \"text_template_based\": \"I talked to Claire, Olivia, Rylee for 7 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Olivia, Rylee late in the evening on 2022/08/23?\", \"7 minutes\"], [\"who did I talk to on 2022/08/23?\", \"Claire, Olivia, Rylee\"], [\"Did I talk to Claire, Olivia, Rylee on 2022/08/23?\", \"yes\"], [\"Did I talk to anyone on 2022/08/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/26\": {\"chat0\": {\"eid\": \"e8119\", \"logical_representation\": [\"2022/08/26\", \"Lydia, Avery\", \"in the morning\", \"15 minutes\"], \"text_template_based\": \"I spent 15 talking to Lydia, Avery on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery in the morning on 2022/08/26?\", \"15 minutes\"], [\"who did I talk to on 2022/08/26?\", \"Lydia, Avery\"], [\"Did I talk to Lydia, Avery on 2022/08/26?\", \"yes\"], [\"Did I talk to anyone on 2022/08/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/27\": {\"lunch\": {\"eid\": \"e8120\", \"logical_representation\": [\"2022/08/27\", \"lunch\", \"chinese food\", \"Rylee, Avery, Lydia, Piper, Claire, Layla, Nevaeh, Piper, Olivia, Hazel, Kinsley, Nora, Eva\"], \"text_template_based\": \"I had chinese food for lunch with Rylee, Avery, Lydia, Piper, Claire, Layla, Nevaeh, Piper, Olivia, Hazel, Kinsley, Nora, Eva\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/08/27?\", \"Rylee, Avery, Lydia, Piper, Claire, Layla, Nevaeh, Piper, Olivia, Hazel, Kinsley, Nora, Eva\"], [\"what did I eat for lunch on 2022/08/27\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8121\", \"logical_representation\": [\"2022/08/27\", \"dinner\", \"a burger\", \"Benjamin, Avery\"], \"text_template_based\": \"I had dinner with Benjamin, Avery. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/08/27?\", \"Benjamin, Avery\"], [\"what did I eat for dinner on 2022/08/27\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8122\", \"logical_representation\": [\"2022/08/27\", \"Lydia, Avery, Kinsley\", \"late in the evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Lydia, Avery, Kinsley for 15 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery, Kinsley late in the evening on 2022/08/27?\", \"15 minutes\"], [\"who did I talk to on 2022/08/27?\", \"Lydia, Avery, Kinsley\"], [\"Did I talk to Lydia, Avery, Kinsley on 2022/08/27?\", \"yes\"], [\"Did I talk to anyone on 2022/08/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/28\": {\"exercise\": {\"eid\": \"e8123\", \"logical_representation\": [\"2022/08/28\", \"running\"], \"text_template_based\": \"I did running on 2022/08/28.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/28?\", \"running\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8124\", \"logical_representation\": [\"2022/08/28\", \"Piper\", \"in the morning\", \"21 minutes\"], \"text_template_based\": \"I talked to Piper for 21 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper in the morning on 2022/08/28?\", \"21 minutes\"], [\"who did I talk to on 2022/08/28?\", \"Piper\"], [\"Did I talk to Piper on 2022/08/28?\", \"yes\"], [\"Did I talk to anyone on 2022/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8125\", \"logical_representation\": [\"2022/08/28\", \"news\", \"44 minutes\"], \"text_template_based\": \"I watched news for 44 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/08/28?\", \"44 minutes\"], [\"what did I watch on tv on 2022/08/28?\", \"news\"], [\"Did I watch tv on 2022/08/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/29\": {\"exercise\": {\"eid\": \"e8126\", \"logical_representation\": [\"2022/08/29\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/08/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/08/29?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8127\", \"logical_representation\": [\"2022/08/29\", \"Nevaeh, Piper, Rylee\", \"during lunch hours\", \"26 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Piper, Rylee for 26 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Piper, Rylee during lunch hours on 2022/08/29?\", \"26 minutes\"], [\"who did I talk to on 2022/08/29?\", \"Nevaeh, Piper, Rylee\"], [\"Did I talk to Nevaeh, Piper, Rylee on 2022/08/29?\", \"yes\"], [\"Did I talk to anyone on 2022/08/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/08/31\": {\"breakfast\": {\"eid\": \"e8131\", \"logical_representation\": [\"2022/08/31\", \"breakfast\", \"pancakes\", \"Benjamin, Avery, Jackson, Willow\"], \"text_template_based\": \"I had breakfast with Benjamin, Avery, Jackson, Willow. I ate pancakes.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/08/31?\", \"Benjamin, Avery, Jackson, Willow\"], [\"what did I eat for breakfast on 2022/08/31\", \"pancakes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/03\": {\"lunch\": {\"eid\": \"e8138\", \"logical_representation\": [\"2022/09/03\", \"lunch\", \"chinese food\", \"Emily, Andrew\"], \"text_template_based\": \"I had chinese food for lunch with Emily, Andrew\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/03?\", \"Emily, Andrew\"], [\"what did I eat for lunch on 2022/09/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2022/09/04\": {\"read\": {\"eid\": \"e8139\", \"logical_representation\": [\"2022/09/04\", \"a book\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/09/04?\", \"31 minutes\"], [\"what did I read on 2022/09/04?\", \"a book\"], [\"Did I read on 2022/09/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/05\": {\"exercise\": {\"eid\": \"e8140\", \"logical_representation\": [\"2022/09/05\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/09/05.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/05?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8141\", \"logical_representation\": [\"2022/09/05\", \"a book\", \"26 minutes\"], \"text_template_based\": \"I spent 26 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/09/05?\", \"26 minutes\"], [\"what did I read on 2022/09/05?\", \"a book\"], [\"Did I read on 2022/09/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/06\": {\"lunch\": {\"eid\": \"e8142\", \"logical_representation\": [\"2022/09/06\", \"lunch\", \"sandwich\", \"Piper, Kinsley, Piper, Olivia\"], \"text_template_based\": \"I had lunch with Piper, Kinsley, Piper, Olivia. I ate sandwich.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/06?\", \"Piper, Kinsley, Piper, Olivia\"], [\"what did I eat for lunch on 2022/09/06\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8143\", \"logical_representation\": [\"2022/09/06\", \"dinner\", \"indian food\", \"Emily\"], \"text_template_based\": \"I had indian food for dinner with Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/09/06?\", \"Emily\"], [\"what did I eat for dinner on 2022/09/06\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2022/09/07\": {\"breakfast\": {\"eid\": \"e8144\", \"logical_representation\": [\"2022/09/07\", \"breakfast\", \"eggs, sausages, and bread\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/07\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8145\", \"logical_representation\": [\"2022/09/07\", \"news\", \"25 minutes\"], \"text_template_based\": \"I spent 25 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/07?\", \"25 minutes\"], [\"what did I watch on tv on 2022/09/07?\", \"news\"], [\"Did I watch tv on 2022/09/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/08\": {\"lunch\": {\"eid\": \"e8146\", \"logical_representation\": [\"2022/09/08\", \"lunch\", \"steak\", \"Jackson, Avery\"], \"text_template_based\": \"I had steak for lunch with Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/08?\", \"Jackson, Avery\"], [\"what did I eat for lunch on 2022/09/08\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2022/09/10\": {\"exercise\": {\"eid\": \"e8149\", \"logical_representation\": [\"2022/09/10\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/09/10.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/10?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8150\", \"logical_representation\": [\"2022/09/10\", \"breakfast\", \"cereals\", \"Layla, Claire, Lydia, Kinsley, Hazel, Piper, Olivia\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/10\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8151\", \"logical_representation\": [\"2022/09/10\", \"Kinsley, Claire, Eva, Nora\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Kinsley, Claire, Eva, Nora for 15 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley, Claire, Eva, Nora in the early evening on 2022/09/10?\", \"15 minutes\"], [\"who did I talk to on 2022/09/10?\", \"Kinsley, Claire, Eva, Nora\"], [\"Did I talk to Kinsley, Claire, Eva, Nora on 2022/09/10?\", \"yes\"], [\"Did I talk to anyone on 2022/09/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/11\": {\"lunch\": {\"eid\": \"e8152\", \"logical_representation\": [\"2022/09/11\", \"lunch\", \"sandwich\", \"Avery, Eva, Nevaeh, Nora, Hazel, Claire, Piper, Piper, Olivia, Kinsley, Rylee\"], \"text_template_based\": \"I had sandwich for lunch with Avery, Eva, Nevaeh, Nora, Hazel, Claire, Piper, Piper, Olivia, Kinsley, Rylee\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/11?\", \"Avery, Eva, Nevaeh, Nora, Hazel, Claire, Piper, Piper, Olivia, Kinsley, Rylee\"], [\"what did I eat for lunch on 2022/09/11\", \"sandwich\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8153\", \"logical_representation\": [\"2022/09/11\", \"Rylee, Piper, Nora\", \"in the early afternoon\", \"33 minutes\"], \"text_template_based\": \"I spent 33 talking to Rylee, Piper, Nora on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Nora in the early afternoon on 2022/09/11?\", \"33 minutes\"], [\"who did I talk to on 2022/09/11?\", \"Rylee, Piper, Nora\"], [\"Did I talk to Rylee, Piper, Nora on 2022/09/11?\", \"yes\"], [\"Did I talk to anyone on 2022/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8154\", \"logical_representation\": [\"2022/09/11\", \"a documentary\", \"37 minutes\"], \"text_template_based\": \"I watched a documentary for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/11?\", \"37 minutes\"], [\"what did I watch on tv on 2022/09/11?\", \"a documentary\"], [\"Did I watch tv on 2022/09/11?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/12\": {\"exercise\": {\"eid\": \"e8155\", \"logical_representation\": [\"2022/09/12\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/09/12.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/12?\", \"swimming\"]], \"multihop_qa_pairs\": []}}, \"2022/09/13\": {\"chat0\": {\"eid\": \"e8156\", \"logical_representation\": [\"2022/09/13\", \"Lydia, Kinsley, Layla, Olivia\", \"late in the evening\", \"55 minutes\"], \"text_template_based\": \"I spent 55 talking to Lydia, Kinsley, Layla, Olivia on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Kinsley, Layla, Olivia late in the evening on 2022/09/13?\", \"55 minutes\"], [\"who did I talk to on 2022/09/13?\", \"Lydia, Kinsley, Layla, Olivia\"], [\"Did I talk to Lydia, Kinsley, Layla, Olivia on 2022/09/13?\", \"yes\"], [\"Did I talk to anyone on 2022/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8157\", \"logical_representation\": [\"2022/09/13\", \"social media\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/09/13?\", \"23 minutes\"], [\"what did I read on 2022/09/13?\", \"social media\"], [\"Did I read on 2022/09/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/14\": {\"lunch\": {\"eid\": \"e8158\", \"logical_representation\": [\"2022/09/14\", \"lunch\", \"pasta\", \"Andrew, Emily\"], \"text_template_based\": \"I had lunch. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/14\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2022/09/15\": {\"exercise\": {\"eid\": \"e8159\", \"logical_representation\": [\"2022/09/15\", \"biking\"], \"text_template_based\": \"I did biking on 2022/09/15.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/15?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8160\", \"logical_representation\": [\"2022/09/15\", \"lunch\", \"a burger\", \"Nora, Eva, Avery, Hazel, Rylee, Piper, Layla, Piper\"], \"text_template_based\": \"I had a burger for lunch with Nora, Eva, Avery, Hazel, Rylee, Piper, Layla, Piper\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/15?\", \"Nora, Eva, Avery, Hazel, Rylee, Piper, Layla, Piper\"], [\"what did I eat for lunch on 2022/09/15\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8161\", \"logical_representation\": [\"2022/09/15\", \"Piper, Layla, Olivia, Piper\", \"in the early evening\", \"23 minutes\"], \"text_template_based\": \"I spent 23 talking to Piper, Layla, Olivia, Piper on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Piper, Layla, Olivia, Piper in the early evening on 2022/09/15?\", \"23 minutes\"], [\"who did I talk to on 2022/09/15?\", \"Piper, Layla, Olivia, Piper\"], [\"Did I talk to Piper, Layla, Olivia, Piper on 2022/09/15?\", \"yes\"], [\"Did I talk to anyone on 2022/09/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/19\": {\"exercise\": {\"eid\": \"e8162\", \"logical_representation\": [\"2022/09/19\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/09/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/19?\", \"hiking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8163\", \"logical_representation\": [\"2022/09/19\", \"breakfast\", \"toast and cheese\", \"Nora, Avery, Olivia, Rylee, Claire, Piper, Nevaeh, Hazel, Piper, Kinsley\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/19\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8164\", \"logical_representation\": [\"2022/09/19\", \"a tv series\", \"36 minutes\"], \"text_template_based\": \"I spent 36 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/19?\", \"36 minutes\"], [\"what did I watch on tv on 2022/09/19?\", \"a tv series\"], [\"Did I watch tv on 2022/09/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/20\": {\"lunch\": {\"eid\": \"e8165\", \"logical_representation\": [\"2022/09/20\", \"lunch\", \"steak\", \"Claire, Nora, Nevaeh, Eva, Rylee, Piper, Kinsley, Olivia, Layla, Hazel, Lydia, Piper\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/20\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8166\", \"logical_representation\": [\"2022/09/20\", \"Lydia, Nora, Nevaeh, Layla\", \"in the early evening\", \"30 minutes\"], \"text_template_based\": \"I talked to Lydia, Nora, Nevaeh, Layla for 30 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Nora, Nevaeh, Layla in the early evening on 2022/09/20?\", \"30 minutes\"], [\"who did I talk to on 2022/09/20?\", \"Lydia, Nora, Nevaeh, Layla\"], [\"Did I talk to Lydia, Nora, Nevaeh, Layla on 2022/09/20?\", \"yes\"], [\"Did I talk to anyone on 2022/09/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/21\": {\"dinner\": {\"eid\": \"e8167\", \"logical_representation\": [\"2022/09/21\", \"dinner\", \"chinese food\", \"Emily, Kayden, Andrew\"], \"text_template_based\": \"I had dinner with Emily, Kayden, Andrew. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/09/21?\", \"Emily, Kayden, Andrew\"], [\"what did I eat for dinner on 2022/09/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8168\", \"logical_representation\": [\"2022/09/21\", \"Lydia, Eva, Nora\", \"in the early evening\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Lydia, Eva, Nora on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Eva, Nora in the early evening on 2022/09/21?\", \"48 minutes\"], [\"who did I talk to on 2022/09/21?\", \"Lydia, Eva, Nora\"], [\"Did I talk to Lydia, Eva, Nora on 2022/09/21?\", \"yes\"], [\"Did I talk to anyone on 2022/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8169\", \"logical_representation\": [\"2022/09/21\", \"news\", \"53 minutes\"], \"text_template_based\": \"I watched news for 53 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/21?\", \"53 minutes\"], [\"what did I watch on tv on 2022/09/21?\", \"news\"], [\"Did I watch tv on 2022/09/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/22\": {\"exercise\": {\"eid\": \"e8170\", \"logical_representation\": [\"2022/09/22\", \"hiking\"], \"text_template_based\": \"I did hiking on 2022/09/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/22?\", \"hiking\"]], \"multihop_qa_pairs\": []}}, \"2022/09/23\": {\"exercise\": {\"eid\": \"e8171\", \"logical_representation\": [\"2022/09/23\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/09/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/23?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8172\", \"logical_representation\": [\"2022/09/23\", \"lunch\", \"tacos\", \"Willow, Avery, Benjamin, Jackson\"], \"text_template_based\": \"I had lunch. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/23\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2022/09/24\": {\"exercise\": {\"eid\": \"e8173\", \"logical_representation\": [\"2022/09/24\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/09/24.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/09/24?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8174\", \"logical_representation\": [\"2022/09/24\", \"dinner\", \"sushi\", \"Andrew, Kayden, Emily\"], \"text_template_based\": \"I had dinner. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/09/24\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8175\", \"logical_representation\": [\"2022/09/24\", \"Eva, Layla, Kinsley, Nora\", \"in the early evening\", \"14 minutes\"], \"text_template_based\": \"I talked to Eva, Layla, Kinsley, Nora for 14 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Layla, Kinsley, Nora in the early evening on 2022/09/24?\", \"14 minutes\"], [\"who did I talk to on 2022/09/24?\", \"Eva, Layla, Kinsley, Nora\"], [\"Did I talk to Eva, Layla, Kinsley, Nora on 2022/09/24?\", \"yes\"], [\"Did I talk to anyone on 2022/09/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/26\": {\"breakfast\": {\"eid\": \"e8177\", \"logical_representation\": [\"2022/09/26\", \"breakfast\", \"toast and cheese\", \"Carter\"], \"text_template_based\": \"I prepare toast and cheese for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/26\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8178\", \"logical_representation\": [\"2022/09/26\", \"lunch\", \"fish and chips\", \"Carter, Emily\"], \"text_template_based\": \"I had fish and chips for lunch with Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/09/26?\", \"Carter, Emily\"], [\"what did I eat for lunch on 2022/09/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8179\", \"logical_representation\": [\"2022/09/26\", \"Claire, Piper\", \"in the early afternoon\", \"15 minutes\"], \"text_template_based\": \"I talked to Claire, Piper for 15 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Claire, Piper in the early afternoon on 2022/09/26?\", \"15 minutes\"], [\"who did I talk to on 2022/09/26?\", \"Claire, Piper\"], [\"Did I talk to Claire, Piper on 2022/09/26?\", \"yes\"], [\"Did I talk to anyone on 2022/09/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/27\": {\"breakfast\": {\"eid\": \"e8180\", \"logical_representation\": [\"2022/09/27\", \"breakfast\", \"oatmeal\", \"Kayden, Andrew, Carter\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/27\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2022/09/28\": {\"read\": {\"eid\": \"e8181\", \"logical_representation\": [\"2022/09/28\", \"a book\", \"23 minutes\"], \"text_template_based\": \"I spent 23 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/09/28?\", \"23 minutes\"], [\"what did I read on 2022/09/28?\", \"a book\"], [\"Did I read on 2022/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8182\", \"logical_representation\": [\"2022/09/28\", \"a documentary\", \"26 minutes\"], \"text_template_based\": \"I watched a documentary for 26 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/09/28?\", \"26 minutes\"], [\"what did I watch on tv on 2022/09/28?\", \"a documentary\"], [\"Did I watch tv on 2022/09/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/09/29\": {\"breakfast\": {\"eid\": \"e8183\", \"logical_representation\": [\"2022/09/29\", \"breakfast\", \"oatmeal\", \"Emily, Andrew\"], \"text_template_based\": \"I ate oatmeal for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/09/29\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2022/09/30\": {\"lunch\": {\"eid\": \"e8184\", \"logical_representation\": [\"2022/09/30\", \"lunch\", \"pasta\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I ate pasta for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/09/30\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8185\", \"logical_representation\": [\"2022/09/30\", \"dinner\", \"steak\", \"Hazel, Claire, Layla, Piper, Nevaeh, Kinsley\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/09/30\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2022/10/01\": {\"lunch\": {\"eid\": \"e8186\", \"logical_representation\": [\"2022/10/01\", \"lunch\", \"a burger\", \"Benjamin, Jackson, Willow, Avery\"], \"text_template_based\": \"I ate a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8187\", \"logical_representation\": [\"2022/10/01\", \"Eva, Nora\", \"during lunch hours\", \"6 minutes\"], \"text_template_based\": \"I spent 6 talking to Eva, Nora on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Nora during lunch hours on 2022/10/01?\", \"6 minutes\"], [\"who did I talk to on 2022/10/01?\", \"Eva, Nora\"], [\"Did I talk to Eva, Nora on 2022/10/01?\", \"yes\"], [\"Did I talk to anyone on 2022/10/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/02\": {\"lunch\": {\"eid\": \"e8188\", \"logical_representation\": [\"2022/10/02\", \"lunch\", \"tacos\", \"Willow, Avery\"], \"text_template_based\": \"I prepare tacos for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/02\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2022/10/04\": {\"exercise\": {\"eid\": \"e8190\", \"logical_representation\": [\"2022/10/04\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/10/04.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/04?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}}, \"2022/10/05\": {\"dinner\": {\"eid\": \"e8191\", \"logical_representation\": [\"2022/10/05\", \"dinner\", \"pasta\", \"Andrew, Emily, Kayden\"], \"text_template_based\": \"I had pasta for dinner with Andrew, Emily, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/10/05?\", \"Andrew, Emily, Kayden\"], [\"what did I eat for dinner on 2022/10/05\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8192\", \"logical_representation\": [\"2022/10/05\", \"Hazel, Rylee\", \"in the late afternoon\", \"37 minutes\"], \"text_template_based\": \"I talked to Hazel, Rylee for 37 minutes in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel, Rylee in the late afternoon on 2022/10/05?\", \"37 minutes\"], [\"who did I talk to on 2022/10/05?\", \"Hazel, Rylee\"], [\"Did I talk to Hazel, Rylee on 2022/10/05?\", \"yes\"], [\"Did I talk to anyone on 2022/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8193\", \"logical_representation\": [\"2022/10/05\", \"a documentary\", \"5 minutes\"], \"text_template_based\": \"I watched a documentary for 5 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/05?\", \"5 minutes\"], [\"what did I watch on tv on 2022/10/05?\", \"a documentary\"], [\"Did I watch tv on 2022/10/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/06\": {\"exercise\": {\"eid\": \"e8194\", \"logical_representation\": [\"2022/10/06\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/10/06.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/06?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8195\", \"logical_representation\": [\"2022/10/06\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/10/06?\", \"31 minutes\"], [\"what did I read on 2022/10/06?\", \"news\"], [\"Did I read on 2022/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8196\", \"logical_representation\": [\"2022/10/06\", \"a documentary\", \"12 minutes\"], \"text_template_based\": \"I spent 12 minutes watching a documentary on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/06?\", \"12 minutes\"], [\"what did I watch on tv on 2022/10/06?\", \"a documentary\"], [\"Did I watch tv on 2022/10/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/07\": {\"chat0\": {\"eid\": \"e8197\", \"logical_representation\": [\"2022/10/07\", \"Avery\", \"during lunch hours\", \"53 minutes\"], \"text_template_based\": \"I spent 53 talking to Avery on various topics during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery during lunch hours on 2022/10/07?\", \"53 minutes\"], [\"who did I talk to on 2022/10/07?\", \"Avery\"], [\"Did I talk to Avery on 2022/10/07?\", \"yes\"], [\"Did I talk to anyone on 2022/10/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/08\": {\"read\": {\"eid\": \"e8198\", \"logical_representation\": [\"2022/10/08\", \"news\", \"52 minutes\"], \"text_template_based\": \"I spent 52 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/10/08?\", \"52 minutes\"], [\"what did I read on 2022/10/08?\", \"news\"], [\"Did I read on 2022/10/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/09\": {\"chat0\": {\"eid\": \"e8199\", \"logical_representation\": [\"2022/10/09\", \"Rylee\", \"in the early evening\", \"22 minutes\"], \"text_template_based\": \"I talked to Rylee for 22 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2022/10/09?\", \"22 minutes\"], [\"who did I talk to on 2022/10/09?\", \"Rylee\"], [\"Did I talk to Rylee on 2022/10/09?\", \"yes\"], [\"Did I talk to anyone on 2022/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8200\", \"logical_representation\": [\"2022/10/09\", \"a movie\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes watching a movie on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/09?\", \"54 minutes\"], [\"what did I watch on tv on 2022/10/09?\", \"a movie\"], [\"Did I watch tv on 2022/10/09?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/10\": {\"breakfast\": {\"eid\": \"e8201\", \"logical_representation\": [\"2022/10/10\", \"breakfast\", \"eggs, sausages, and bread\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had breakfast. I ate eggs, sausages, and bread.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/10\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2022/10/12\": {\"lunch\": {\"eid\": \"e8204\", \"logical_representation\": [\"2022/10/12\", \"lunch\", \"indian food\", \"Andrew, Kayden\"], \"text_template_based\": \"I had indian food for lunch with Andrew, Kayden\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/10/12?\", \"Andrew, Kayden\"], [\"what did I eat for lunch on 2022/10/12\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8205\", \"logical_representation\": [\"2022/10/12\", \"dinner\", \"sandwich\", \"Emily, Andrew\"], \"text_template_based\": \"I ate sandwich for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/10/12\", \"sandwich\"]], \"multihop_qa_pairs\": []}}, \"2022/10/14\": {\"lunch\": {\"eid\": \"e8208\", \"logical_representation\": [\"2022/10/14\", \"lunch\", \"a burger\", \"Layla, Eva, Lydia, Nora, Kinsley, Piper, Avery\"], \"text_template_based\": \"I had lunch with Layla, Eva, Lydia, Nora, Kinsley, Piper, Avery. I ate a burger.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/10/14?\", \"Layla, Eva, Lydia, Nora, Kinsley, Piper, Avery\"], [\"what did I eat for lunch on 2022/10/14\", \"a burger\"]], \"multihop_qa_pairs\": []}}, \"2022/10/15\": {\"breakfast\": {\"eid\": \"e8209\", \"logical_representation\": [\"2022/10/15\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Carter\"], \"text_template_based\": \"I had breakfast. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/15\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8210\", \"logical_representation\": [\"2022/10/15\", \"dinner\", \"tacos\", \"Nevaeh, Olivia, Avery, Eva, Nora, Claire, Hazel, Kinsley\"], \"text_template_based\": \"I had dinner. I ate tacos.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/10/15\", \"tacos\"]], \"multihop_qa_pairs\": []}}, \"2022/10/19\": {\"breakfast\": {\"eid\": \"e8213\", \"logical_representation\": [\"2022/10/19\", \"breakfast\", \"cereals\", \"Willow, Benjamin, Avery\"], \"text_template_based\": \"I prepare cereals for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/10/19\", \"cereals\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8214\", \"logical_representation\": [\"2022/10/19\", \"lunch\", \"chinese food\", \"Claire, Piper, Nevaeh, Piper, Hazel, Kinsley, Rylee, Olivia, Nora, Eva, Avery\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/19\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8215\", \"logical_representation\": [\"2022/10/19\", \"a tv series\", \"43 minutes\"], \"text_template_based\": \"I spent 43 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/19?\", \"43 minutes\"], [\"what did I watch on tv on 2022/10/19?\", \"a tv series\"], [\"Did I watch tv on 2022/10/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/20\": {\"exercise\": {\"eid\": \"e8216\", \"logical_representation\": [\"2022/10/20\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/10/20.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/20?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8217\", \"logical_representation\": [\"2022/10/20\", \"dinner\", \"tacos\", \"Kayden\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/10/20\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8218\", \"logical_representation\": [\"2022/10/20\", \"news\", \"54 minutes\"], \"text_template_based\": \"I spent 54 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/10/20?\", \"54 minutes\"], [\"what did I read on 2022/10/20?\", \"news\"], [\"Did I read on 2022/10/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/21\": {\"lunch\": {\"eid\": \"e8219\", \"logical_representation\": [\"2022/10/21\", \"lunch\", \"chinese food\", \"Nora, Layla, Hazel, Avery, Nevaeh, Piper\"], \"text_template_based\": \"I ate chinese food for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/21\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2022/10/22\": {\"read\": {\"eid\": \"e8220\", \"logical_representation\": [\"2022/10/22\", \"news\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/10/22?\", \"33 minutes\"], [\"what did I read on 2022/10/22?\", \"news\"], [\"Did I read on 2022/10/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/23\": {\"exercise\": {\"eid\": \"e8221\", \"logical_representation\": [\"2022/10/23\", \"swimming\"], \"text_template_based\": \"I did swimming on 2022/10/23.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/23?\", \"swimming\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8222\", \"logical_representation\": [\"2022/10/23\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/10/23?\", \"30 minutes\"], [\"what did I read on 2022/10/23?\", \"news\"], [\"Did I read on 2022/10/23?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/24\": {\"dinner\": {\"eid\": \"e8223\", \"logical_representation\": [\"2022/10/24\", \"dinner\", \"fish and chips\", \"Piper, Layla, Hazel, Claire, Avery, Olivia, Nora, Nevaeh, Rylee, Piper, Lydia\"], \"text_template_based\": \"I ate fish and chips for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/10/24\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2022/10/26\": {\"dinner\": {\"eid\": \"e8225\", \"logical_representation\": [\"2022/10/26\", \"dinner\", \"a burger\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I ate a burger for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/10/26\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8226\", \"logical_representation\": [\"2022/10/26\", \"a book\", \"39 minutes\"], \"text_template_based\": \"I spent 39 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/10/26?\", \"39 minutes\"], [\"what did I read on 2022/10/26?\", \"a book\"], [\"Did I read on 2022/10/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/27\": {\"social media\": {\"eid\": \"e8227\", \"logical_representation\": [\"2022/10/27\", \"social media\", \"6 minutes\"], \"text_template_based\": \"I spent 6 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/10/27?\", \"6 minutes\"], [\"what did I read on 2022/10/27?\", \"social media\"], [\"Did I read on 2022/10/27?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/28\": {\"breakfast\": {\"eid\": \"e8228\", \"logical_representation\": [\"2022/10/28\", \"breakfast\", \"peanut-butter-jam\", \"Kayden, Emily, Carter\"], \"text_template_based\": \"I had peanut-butter-jam for breakfast with Kayden, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/10/28?\", \"Kayden, Emily, Carter\"], [\"what did I eat for breakfast on 2022/10/28\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8229\", \"logical_representation\": [\"2022/10/28\", \"social media\", \"49 minutes\"], \"text_template_based\": \"I spent 49 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/10/28?\", \"49 minutes\"], [\"what did I read on 2022/10/28?\", \"social media\"], [\"Did I read on 2022/10/28?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/10/30\": {\"exercise\": {\"eid\": \"e8231\", \"logical_representation\": [\"2022/10/30\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/10/30.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/30?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8232\", \"logical_representation\": [\"2022/10/30\", \"lunch\", \"steak\", \"Andrew, Carter\"], \"text_template_based\": \"I ate steak for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/10/30\", \"steak\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8233\", \"logical_representation\": [\"2022/10/30\", \"dinner\", \"chinese food\", \"Kayden, Emily, Carter, Andrew\"], \"text_template_based\": \"I prepare chinese food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/10/30\", \"chinese food\"]], \"multihop_qa_pairs\": []}}, \"2022/10/31\": {\"exercise\": {\"eid\": \"e8234\", \"logical_representation\": [\"2022/10/31\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/10/31.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/10/31?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8235\", \"logical_representation\": [\"2022/10/31\", \"news\", \"42 minutes\"], \"text_template_based\": \"I watched news for 42 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/10/31?\", \"42 minutes\"], [\"what did I watch on tv on 2022/10/31?\", \"news\"], [\"Did I watch tv on 2022/10/31?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/02\": {\"exercise\": {\"eid\": \"e8236\", \"logical_representation\": [\"2022/11/02\", \"biking\"], \"text_template_based\": \"I did biking on 2022/11/02.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/02?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8237\", \"logical_representation\": [\"2022/11/02\", \"breakfast\", \"oatmeal\", \"Benjamin, Avery, Willow\"], \"text_template_based\": \"I had breakfast with Benjamin, Avery, Willow. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/11/02?\", \"Benjamin, Avery, Willow\"], [\"what did I eat for breakfast on 2022/11/02\", \"oatmeal\"]], \"multihop_qa_pairs\": []}}, \"2022/11/03\": {\"lunch\": {\"eid\": \"e8238\", \"logical_representation\": [\"2022/11/03\", \"lunch\", \"chinese food\", \"Kayden, Andrew, Emily, Carter\"], \"text_template_based\": \"I had lunch. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/11/03\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8239\", \"logical_representation\": [\"2022/11/03\", \"a movie\", \"22 minutes\"], \"text_template_based\": \"I watched a movie for 22 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/03?\", \"22 minutes\"], [\"what did I watch on tv on 2022/11/03?\", \"a movie\"], [\"Did I watch tv on 2022/11/03?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/04\": {\"breakfast\": {\"eid\": \"e8240\", \"logical_representation\": [\"2022/11/04\", \"breakfast\", \"cereals\", \"Andrew, Emily, Carter\"], \"text_template_based\": \"I had cereals for breakfast with Andrew, Emily, Carter\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/11/04?\", \"Andrew, Emily, Carter\"], [\"what did I eat for breakfast on 2022/11/04\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2022/11/05\": {\"breakfast\": {\"eid\": \"e8241\", \"logical_representation\": [\"2022/11/05\", \"breakfast\", \"oatmeal\", \"Hazel, Nevaeh, Layla, Nora\"], \"text_template_based\": \"I had breakfast with Hazel, Nevaeh, Layla, Nora. I ate oatmeal.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/11/05?\", \"Hazel, Nevaeh, Layla, Nora\"], [\"what did I eat for breakfast on 2022/11/05\", \"oatmeal\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8242\", \"logical_representation\": [\"2022/11/05\", \"lunch\", \"fish and chips\", \"Layla\"], \"text_template_based\": \"I had fish and chips for lunch with Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/11/05?\", \"Layla\"], [\"what did I eat for lunch on 2022/11/05\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8243\", \"logical_representation\": [\"2022/11/05\", \"Rylee\", \"in the early evening\", \"36 minutes\"], \"text_template_based\": \"I spent 36 talking to Rylee on various topics in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee in the early evening on 2022/11/05?\", \"36 minutes\"], [\"who did I talk to on 2022/11/05?\", \"Rylee\"], [\"Did I talk to Rylee on 2022/11/05?\", \"yes\"], [\"Did I talk to anyone on 2022/11/05?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/06\": {\"breakfast\": {\"eid\": \"e8244\", \"logical_representation\": [\"2022/11/06\", \"breakfast\", \"eggs, sausages, and bread\", \"Nevaeh, Hazel, Lydia, Kinsley, Piper, Layla, Avery, Nora\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Nevaeh, Hazel, Lydia, Kinsley, Piper, Layla, Avery, Nora\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/11/06?\", \"Nevaeh, Hazel, Lydia, Kinsley, Piper, Layla, Avery, Nora\"], [\"what did I eat for breakfast on 2022/11/06\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8245\", \"logical_representation\": [\"2022/11/06\", \"lunch\", \"a burger\", \"Kinsley, Olivia, Piper, Hazel, Nora, Nevaeh, Avery, Layla, Claire, Eva, Rylee, Lydia, Piper\"], \"text_template_based\": \"I prepare a burger for lunch.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/11/06\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8246\", \"logical_representation\": [\"2022/11/06\", \"dinner\", \"tacos\", \"Kayden, Andrew, Emily\"], \"text_template_based\": \"I prepare tacos for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/11/06\", \"tacos\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8247\", \"logical_representation\": [\"2022/11/06\", \"Olivia\", \"in the late afternoon\", \"19 minutes\"], \"text_template_based\": \"I spent 19 talking to Olivia on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Olivia in the late afternoon on 2022/11/06?\", \"19 minutes\"], [\"who did I talk to on 2022/11/06?\", \"Olivia\"], [\"Did I talk to Olivia on 2022/11/06?\", \"yes\"], [\"Did I talk to anyone on 2022/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8248\", \"logical_representation\": [\"2022/11/06\", \"news\", \"30 minutes\"], \"text_template_based\": \"I spent 30 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/11/06?\", \"30 minutes\"], [\"what did I read on 2022/11/06?\", \"news\"], [\"Did I read on 2022/11/06?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/08\": {\"chat0\": {\"eid\": \"e8250\", \"logical_representation\": [\"2022/11/08\", \"Nora, Nevaeh, Rylee, Layla\", \"in the late afternoon\", \"25 minutes\"], \"text_template_based\": \"I spent 25 talking to Nora, Nevaeh, Rylee, Layla on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nora, Nevaeh, Rylee, Layla in the late afternoon on 2022/11/08?\", \"25 minutes\"], [\"who did I talk to on 2022/11/08?\", \"Nora, Nevaeh, Rylee, Layla\"], [\"Did I talk to Nora, Nevaeh, Rylee, Layla on 2022/11/08?\", \"yes\"], [\"Did I talk to anyone on 2022/11/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/10\": {\"lunch\": {\"eid\": \"e8252\", \"logical_representation\": [\"2022/11/10\", \"lunch\", \"sushi\", \"Jackson, Avery, Benjamin, Willow\"], \"text_template_based\": \"I had lunch with Jackson, Avery, Benjamin, Willow. I ate sushi.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/11/10?\", \"Jackson, Avery, Benjamin, Willow\"], [\"what did I eat for lunch on 2022/11/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8253\", \"logical_representation\": [\"2022/11/10\", \"dinner\", \"steak\", \"Andrew, Carter, Emily\"], \"text_template_based\": \"I had steak for dinner with Andrew, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/11/10?\", \"Andrew, Carter, Emily\"], [\"what did I eat for dinner on 2022/11/10\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2022/11/11\": {\"dinner\": {\"eid\": \"e8254\", \"logical_representation\": [\"2022/11/11\", \"dinner\", \"indian food\", \"Benjamin, Willow, Jackson, Avery\"], \"text_template_based\": \"I had indian food for dinner with Benjamin, Willow, Jackson, Avery\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/11/11?\", \"Benjamin, Willow, Jackson, Avery\"], [\"what did I eat for dinner on 2022/11/11\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2022/11/12\": {\"watch tv\": {\"eid\": \"e8255\", \"logical_representation\": [\"2022/11/12\", \"a tv series\", \"6 minutes\"], \"text_template_based\": \"I watched a tv series for 6 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/12?\", \"6 minutes\"], [\"what did I watch on tv on 2022/11/12?\", \"a tv series\"], [\"Did I watch tv on 2022/11/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/13\": {\"read\": {\"eid\": \"e8256\", \"logical_representation\": [\"2022/11/13\", \"news\", \"22 minutes\"], \"text_template_based\": \"I spent 22 minutes on news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/11/13?\", \"22 minutes\"], [\"what did I read on 2022/11/13?\", \"news\"], [\"Did I read on 2022/11/13?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/14\": {\"chat0\": {\"eid\": \"e8257\", \"logical_representation\": [\"2022/11/14\", \"Eva, Avery, Kinsley\", \"in the early afternoon\", \"22 minutes\"], \"text_template_based\": \"I spent 22 talking to Eva, Avery, Kinsley on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Eva, Avery, Kinsley in the early afternoon on 2022/11/14?\", \"22 minutes\"], [\"who did I talk to on 2022/11/14?\", \"Eva, Avery, Kinsley\"], [\"Did I talk to Eva, Avery, Kinsley on 2022/11/14?\", \"yes\"], [\"Did I talk to anyone on 2022/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8258\", \"logical_representation\": [\"2022/11/14\", \"social media\", \"48 minutes\"], \"text_template_based\": \"I spent 48 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/11/14?\", \"48 minutes\"], [\"what did I read on 2022/11/14?\", \"social media\"], [\"Did I read on 2022/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8259\", \"logical_representation\": [\"2022/11/14\", \"a movie\", \"19 minutes\"], \"text_template_based\": \"I watched a movie for 19 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/14?\", \"19 minutes\"], [\"what did I watch on tv on 2022/11/14?\", \"a movie\"], [\"Did I watch tv on 2022/11/14?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/15\": {\"chat0\": {\"eid\": \"e8260\", \"logical_representation\": [\"2022/11/15\", \"Hazel\", \"in the early evening\", \"17 minutes\"], \"text_template_based\": \"I talked to Hazel for 17 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Hazel in the early evening on 2022/11/15?\", \"17 minutes\"], [\"who did I talk to on 2022/11/15?\", \"Hazel\"], [\"Did I talk to Hazel on 2022/11/15?\", \"yes\"], [\"Did I talk to anyone on 2022/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8261\", \"logical_representation\": [\"2022/11/15\", \"a book\", \"51 minutes\"], \"text_template_based\": \"I spent 51 minutes reading a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/11/15?\", \"51 minutes\"], [\"what did I read on 2022/11/15?\", \"a book\"], [\"Did I read on 2022/11/15?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/16\": {\"dinner\": {\"eid\": \"e8262\", \"logical_representation\": [\"2022/11/16\", \"dinner\", \"indian food\", \"Carter, Andrew, Kayden, Emily\"], \"text_template_based\": \"I had indian food for dinner with Carter, Andrew, Kayden, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/11/16?\", \"Carter, Andrew, Kayden, Emily\"], [\"what did I eat for dinner on 2022/11/16\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8263\", \"logical_representation\": [\"2022/11/16\", \"social media\", \"33 minutes\"], \"text_template_based\": \"I spent 33 minutes on social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/11/16?\", \"33 minutes\"], [\"what did I read on 2022/11/16?\", \"social media\"], [\"Did I read on 2022/11/16?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/18\": {\"breakfast\": {\"eid\": \"e8267\", \"logical_representation\": [\"2022/11/18\", \"breakfast\", \"pancakes\", \"Piper, Lydia, Avery, Nevaeh, Nora, Rylee, Kinsley\"], \"text_template_based\": \"I ate pancakes for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/18\", \"pancakes\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8268\", \"logical_representation\": [\"2022/11/18\", \"lunch\", \"indian food\", \"Eva, Layla, Rylee, Olivia\"], \"text_template_based\": \"I had lunch. I ate indian food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/11/18\", \"indian food\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8269\", \"logical_representation\": [\"2022/11/18\", \"Avery\", \"in the early evening\", \"15 minutes\"], \"text_template_based\": \"I talked to Avery for 15 minutes in the early evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery in the early evening on 2022/11/18?\", \"15 minutes\"], [\"who did I talk to on 2022/11/18?\", \"Avery\"], [\"Did I talk to Avery on 2022/11/18?\", \"yes\"], [\"Did I talk to anyone on 2022/11/18?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/19\": {\"breakfast\": {\"eid\": \"e8270\", \"logical_representation\": [\"2022/11/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Avery, Jackson, Benjamin\"], \"text_template_based\": \"I ate eggs, sausages, and bread for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8271\", \"logical_representation\": [\"2022/11/19\", \"a tv series\", \"31 minutes\"], \"text_template_based\": \"I watched a tv series for 31 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/11/19?\", \"31 minutes\"], [\"what did I watch on tv on 2022/11/19?\", \"a tv series\"], [\"Did I watch tv on 2022/11/19?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/21\": {\"breakfast\": {\"eid\": \"e8274\", \"logical_representation\": [\"2022/11/21\", \"breakfast\", \"toast and cheese\", \"Willow, Jackson, Benjamin, Avery\"], \"text_template_based\": \"I had breakfast. I ate toast and cheese.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/21\", \"toast and cheese\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8275\", \"logical_representation\": [\"2022/11/21\", \"Rylee, Piper, Eva\", \"late in the evening\", \"11 minutes\"], \"text_template_based\": \"I spent 11 talking to Rylee, Piper, Eva on various topics late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Rylee, Piper, Eva late in the evening on 2022/11/21?\", \"11 minutes\"], [\"who did I talk to on 2022/11/21?\", \"Rylee, Piper, Eva\"], [\"Did I talk to Rylee, Piper, Eva on 2022/11/21?\", \"yes\"], [\"Did I talk to anyone on 2022/11/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/22\": {\"exercise\": {\"eid\": \"e8276\", \"logical_representation\": [\"2022/11/22\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/11/22.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/22?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"lunch\": {\"eid\": \"e8277\", \"logical_representation\": [\"2022/11/22\", \"lunch\", \"steak\", \"Nevaeh, Hazel, Layla, Avery, Kinsley, Olivia, Piper, Claire, Eva, Nora, Piper\"], \"text_template_based\": \"I had lunch. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for lunch on 2022/11/22\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8278\", \"logical_representation\": [\"2022/11/22\", \"Lydia, Avery\", \"in the late afternoon\", \"48 minutes\"], \"text_template_based\": \"I spent 48 talking to Lydia, Avery on various topics in the late afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia, Avery in the late afternoon on 2022/11/22?\", \"48 minutes\"], [\"who did I talk to on 2022/11/22?\", \"Lydia, Avery\"], [\"Did I talk to Lydia, Avery on 2022/11/22?\", \"yes\"], [\"Did I talk to anyone on 2022/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"social media\": {\"eid\": \"e8279\", \"logical_representation\": [\"2022/11/22\", \"social media\", \"16 minutes\"], \"text_template_based\": \"I spent 16 minutes reading social media today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading social media on 2022/11/22?\", \"16 minutes\"], [\"what did I read on 2022/11/22?\", \"social media\"], [\"Did I read on 2022/11/22?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/23\": {\"breakfast\": {\"eid\": \"e8280\", \"logical_representation\": [\"2022/11/23\", \"breakfast\", \"peanut-butter-jam\", \"Carter, Kayden, Emily, Andrew\"], \"text_template_based\": \"I had breakfast with Carter, Kayden, Emily, Andrew. I ate peanut-butter-jam.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/11/23?\", \"Carter, Kayden, Emily, Andrew\"], [\"what did I eat for breakfast on 2022/11/23\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}}, \"2022/11/24\": {\"breakfast\": {\"eid\": \"e8281\", \"logical_representation\": [\"2022/11/24\", \"breakfast\", \"cereals\", \"Andrew, Emily\"], \"text_template_based\": \"I had breakfast. I ate cereals.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/11/24\", \"cereals\"]], \"multihop_qa_pairs\": []}}, \"2022/11/25\": {\"lunch\": {\"eid\": \"e8282\", \"logical_representation\": [\"2022/11/25\", \"lunch\", \"fish and chips\", \"Carter\"], \"text_template_based\": \"I had lunch with Carter. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/11/25?\", \"Carter\"], [\"what did I eat for lunch on 2022/11/25\", \"fish and chips\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8283\", \"logical_representation\": [\"2022/11/25\", \"Avery, Olivia, Kinsley, Layla\", \"during lunch hours\", \"28 minutes\"], \"text_template_based\": \"I talked to Avery, Olivia, Kinsley, Layla for 28 minutes during lunch hours.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Olivia, Kinsley, Layla during lunch hours on 2022/11/25?\", \"28 minutes\"], [\"who did I talk to on 2022/11/25?\", \"Avery, Olivia, Kinsley, Layla\"], [\"Did I talk to Avery, Olivia, Kinsley, Layla on 2022/11/25?\", \"yes\"], [\"Did I talk to anyone on 2022/11/25?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/11/26\": {\"dinner\": {\"eid\": \"e8284\", \"logical_representation\": [\"2022/11/26\", \"dinner\", \"fish and chips\", \"Andrew, Emily, Carter, Kayden\"], \"text_template_based\": \"I had dinner with Andrew, Emily, Carter, Kayden. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/11/26?\", \"Andrew, Emily, Carter, Kayden\"], [\"what did I eat for dinner on 2022/11/26\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}, \"2022/11/29\": {\"exercise\": {\"eid\": \"e8286\", \"logical_representation\": [\"2022/11/29\", \"biking\"], \"text_template_based\": \"I did biking on 2022/11/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/11/29?\", \"biking\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8287\", \"logical_representation\": [\"2022/11/29\", \"Avery, Claire, Eva, Layla\", \"in the morning\", \"37 minutes\"], \"text_template_based\": \"I spent 37 talking to Avery, Claire, Eva, Layla on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Avery, Claire, Eva, Layla in the morning on 2022/11/29?\", \"37 minutes\"], [\"who did I talk to on 2022/11/29?\", \"Avery, Claire, Eva, Layla\"], [\"Did I talk to Avery, Claire, Eva, Layla on 2022/11/29?\", \"yes\"], [\"Did I talk to anyone on 2022/11/29?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/01\": {\"dinner\": {\"eid\": \"e8289\", \"logical_representation\": [\"2022/12/01\", \"dinner\", \"a burger\", \"Piper, Nevaeh, Piper, Eva, Kinsley, Avery, Nora, Lydia, Olivia, Hazel, Layla\"], \"text_template_based\": \"I had a burger for dinner with Piper, Nevaeh, Piper, Eva, Kinsley, Avery, Nora, Lydia, Olivia, Hazel, Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/12/01?\", \"Piper, Nevaeh, Piper, Eva, Kinsley, Avery, Nora, Lydia, Olivia, Hazel, Layla\"], [\"what did I eat for dinner on 2022/12/01\", \"a burger\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8290\", \"logical_representation\": [\"2022/12/01\", \"a tv series\", \"40 minutes\"], \"text_template_based\": \"I spent 40 minutes watching a tv series on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/01?\", \"40 minutes\"], [\"what did I watch on tv on 2022/12/01?\", \"a tv series\"], [\"Did I watch tv on 2022/12/01?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/04\": {\"chat0\": {\"eid\": \"e8291\", \"logical_representation\": [\"2022/12/04\", \"Kinsley\", \"in the early afternoon\", \"30 minutes\"], \"text_template_based\": \"I talked to Kinsley for 30 minutes in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Kinsley in the early afternoon on 2022/12/04?\", \"30 minutes\"], [\"who did I talk to on 2022/12/04?\", \"Kinsley\"], [\"Did I talk to Kinsley on 2022/12/04?\", \"yes\"], [\"Did I talk to anyone on 2022/12/04?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/07\": {\"watch tv\": {\"eid\": \"e8292\", \"logical_representation\": [\"2022/12/07\", \"a movie\", \"37 minutes\"], \"text_template_based\": \"I watched a movie for 37 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/07?\", \"37 minutes\"], [\"what did I watch on tv on 2022/12/07?\", \"a movie\"], [\"Did I watch tv on 2022/12/07?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/08\": {\"exercise\": {\"eid\": \"e8293\", \"logical_representation\": [\"2022/12/08\", \"HIIT\"], \"text_template_based\": \"I did HIIT on 2022/12/08.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/08?\", \"HIIT\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8294\", \"logical_representation\": [\"2022/12/08\", \"dinner\", \"pasta\", \"Benjamin, Willow\"], \"text_template_based\": \"I had dinner with Benjamin, Willow. I ate pasta.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have dinner with on 2022/12/08?\", \"Benjamin, Willow\"], [\"what did I eat for dinner on 2022/12/08\", \"pasta\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8295\", \"logical_representation\": [\"2022/12/08\", \"Lydia\", \"late in the evening\", \"9 minutes\"], \"text_template_based\": \"I talked to Lydia for 9 minutes late in the evening.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Lydia late in the evening on 2022/12/08?\", \"9 minutes\"], [\"who did I talk to on 2022/12/08?\", \"Lydia\"], [\"Did I talk to Lydia on 2022/12/08?\", \"yes\"], [\"Did I talk to anyone on 2022/12/08?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/10\": {\"lunch\": {\"eid\": \"e8297\", \"logical_representation\": [\"2022/12/10\", \"lunch\", \"sushi\", \"Layla\"], \"text_template_based\": \"I had sushi for lunch with Layla\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/12/10?\", \"Layla\"], [\"what did I eat for lunch on 2022/12/10\", \"sushi\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8298\", \"logical_representation\": [\"2022/12/10\", \"Nevaeh, Avery, Hazel, Claire\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I spent 30 talking to Nevaeh, Avery, Hazel, Claire on various topics in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Avery, Hazel, Claire in the morning on 2022/12/10?\", \"30 minutes\"], [\"who did I talk to on 2022/12/10?\", \"Nevaeh, Avery, Hazel, Claire\"], [\"Did I talk to Nevaeh, Avery, Hazel, Claire on 2022/12/10?\", \"yes\"], [\"Did I talk to anyone on 2022/12/10?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/12\": {\"lunch\": {\"eid\": \"e8299\", \"logical_representation\": [\"2022/12/12\", \"lunch\", \"chinese food\", \"Emily\"], \"text_template_based\": \"I had lunch with Emily. I ate chinese food.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have lunch with on 2022/12/12?\", \"Emily\"], [\"what did I eat for lunch on 2022/12/12\", \"chinese food\"]], \"multihop_qa_pairs\": []}, \"watch tv\": {\"eid\": \"e8300\", \"logical_representation\": [\"2022/12/12\", \"news\", \"5 minutes\"], \"text_template_based\": \"I spent 5 minutes watching news on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/12?\", \"5 minutes\"], [\"what did I watch on tv on 2022/12/12?\", \"news\"], [\"Did I watch tv on 2022/12/12?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/14\": {\"dinner\": {\"eid\": \"e8302\", \"logical_representation\": [\"2022/12/14\", \"dinner\", \"pasta\", \"Layla, Lydia, Nevaeh, Hazel, Nora, Piper, Piper, Kinsley, Rylee, Avery, Claire, Eva, Olivia\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/14\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2022/12/16\": {\"breakfast\": {\"eid\": \"e8305\", \"logical_representation\": [\"2022/12/16\", \"breakfast\", \"eggs, sausages, and bread\", \"Andrew, Kayden, Carter, Emily\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Andrew, Kayden, Carter, Emily\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/12/16?\", \"Andrew, Kayden, Carter, Emily\"], [\"what did I eat for breakfast on 2022/12/16\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8306\", \"logical_representation\": [\"2022/12/16\", \"dinner\", \"steak\", \"Carter\"], \"text_template_based\": \"I had dinner. I ate steak.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/16\", \"steak\"]], \"multihop_qa_pairs\": []}}, \"2022/12/17\": {\"dinner\": {\"eid\": \"e8307\", \"logical_representation\": [\"2022/12/17\", \"dinner\", \"pasta\", \"Lydia, Nevaeh, Piper, Olivia, Layla, Piper\"], \"text_template_based\": \"I ate pasta for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/17\", \"pasta\"]], \"multihop_qa_pairs\": []}}, \"2022/12/19\": {\"exercise\": {\"eid\": \"e8308\", \"logical_representation\": [\"2022/12/19\", \"running\"], \"text_template_based\": \"I did running on 2022/12/19.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/19?\", \"running\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8309\", \"logical_representation\": [\"2022/12/19\", \"breakfast\", \"eggs, sausages, and bread\", \"Benjamin, Avery, Jackson\"], \"text_template_based\": \"I had eggs, sausages, and bread for breakfast with Benjamin, Avery, Jackson\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"with whom did I have breakfast with on 2022/12/19?\", \"Benjamin, Avery, Jackson\"], [\"what did I eat for breakfast on 2022/12/19\", \"eggs, sausages, and bread\"]], \"multihop_qa_pairs\": []}}, \"2022/12/20\": {\"watch tv\": {\"eid\": \"e8310\", \"logical_representation\": [\"2022/12/20\", \"a tv series\", \"54 minutes\"], \"text_template_based\": \"I watched a tv series for 54 minutes on TV today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long was I watching tv on 2022/12/20?\", \"54 minutes\"], [\"what did I watch on tv on 2022/12/20?\", \"a tv series\"], [\"Did I watch tv on 2022/12/20?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/21\": {\"chat0\": {\"eid\": \"e8311\", \"logical_representation\": [\"2022/12/21\", \"Nevaeh, Eva, Piper, Rylee\", \"in the morning\", \"30 minutes\"], \"text_template_based\": \"I talked to Nevaeh, Eva, Piper, Rylee for 30 minutes in the morning.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Nevaeh, Eva, Piper, Rylee in the morning on 2022/12/21?\", \"30 minutes\"], [\"who did I talk to on 2022/12/21?\", \"Nevaeh, Eva, Piper, Rylee\"], [\"Did I talk to Nevaeh, Eva, Piper, Rylee on 2022/12/21?\", \"yes\"], [\"Did I talk to anyone on 2022/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}, \"read\": {\"eid\": \"e8312\", \"logical_representation\": [\"2022/12/21\", \"a book\", \"41 minutes\"], \"text_template_based\": \"I spent 41 minutes on a book today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading a book on 2022/12/21?\", \"41 minutes\"], [\"what did I read on 2022/12/21?\", \"a book\"], [\"Did I read on 2022/12/21?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/24\": {\"read\": {\"eid\": \"e8316\", \"logical_representation\": [\"2022/12/24\", \"news\", \"31 minutes\"], \"text_template_based\": \"I spent 31 minutes reading news today.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I spend reading news on 2022/12/24?\", \"31 minutes\"], [\"what did I read on 2022/12/24?\", \"news\"], [\"Did I read on 2022/12/24?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/26\": {\"dinner\": {\"eid\": \"e8317\", \"logical_representation\": [\"2022/12/26\", \"dinner\", \"steak\", \"Kinsley, Claire, Piper, Avery\"], \"text_template_based\": \"I ate steak for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/26\", \"steak\"]], \"multihop_qa_pairs\": []}, \"chat0\": {\"eid\": \"e8318\", \"logical_representation\": [\"2022/12/26\", \"Layla, Avery, Olivia\", \"in the early afternoon\", \"43 minutes\"], \"text_template_based\": \"I spent 43 talking to Layla, Avery, Olivia on various topics in the early afternoon.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"how long did I talk to Layla, Avery, Olivia in the early afternoon on 2022/12/26?\", \"43 minutes\"], [\"who did I talk to on 2022/12/26?\", \"Layla, Avery, Olivia\"], [\"Did I talk to Layla, Avery, Olivia on 2022/12/26?\", \"yes\"], [\"Did I talk to anyone on 2022/12/26?\", \"yes\"]], \"multihop_qa_pairs\": []}}, \"2022/12/27\": {\"dinner\": {\"eid\": \"e8319\", \"logical_representation\": [\"2022/12/27\", \"dinner\", \"indian food\", \"Claire\"], \"text_template_based\": \"I prepare indian food for dinner.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/27\", \"indian food\"]], \"multihop_qa_pairs\": []}}, \"2022/12/29\": {\"exercise\": {\"eid\": \"e8320\", \"logical_representation\": [\"2022/12/29\", \"weight lifting\"], \"text_template_based\": \"I did weight lifting on 2022/12/29.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"What exercise I did on 2022/12/29?\", \"weight lifting\"]], \"multihop_qa_pairs\": []}, \"breakfast\": {\"eid\": \"e8321\", \"logical_representation\": [\"2022/12/29\", \"breakfast\", \"peanut-butter-jam\", \"Kayden\"], \"text_template_based\": \"I ate peanut-butter-jam for breakfast.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for breakfast on 2022/12/29\", \"peanut-butter-jam\"]], \"multihop_qa_pairs\": []}, \"dinner\": {\"eid\": \"e8322\", \"logical_representation\": [\"2022/12/29\", \"dinner\", \"fish and chips\", \"Emily\"], \"text_template_based\": \"I had dinner. I ate fish and chips.\", \"text_model_based\": [\"\"], \"atomic_qa_pairs\": [[\"what did I eat for dinner on 2022/12/29\", \"fish and chips\"]], \"multihop_qa_pairs\": []}}}"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/travel-log.csv",
    "content": "eid,start_date,end_date,city,people\ne7710,2022/02/22,2022/02/28,\"Shanghai, China\",\"Emily, Carter\"\ne7048,2021/02/07,2021/02/19,\"Dubai, UAE\",\"Emily, Carter\"\ne6408,2020/05/02,2020/05/12,\"Miami, US\",\"Emily, Andrew\"\ne5724,2019/03/19,2019/03/27,\"Rio, Brazil\",\"Eva, Olivia\"\ne5095,2018/02/09,2018/02/22,\"Bangkok, Thailand\",\"Kayden, Carter, Emily\"\ne4449,2017/03/05,2017/03/16,\"Paris, France\",\"Andrew, Emily\"\ne3805,2016/05/07,2016/05/20,\"London, UK\",Andrew\ne3151,2015/03/03,2015/03/15,\"Shanghai, China\",Benjamin\ne2506,2014/01/23,2014/01/29,\"Sydney, Australia\",\"Emily, Carter, Andrew\"\ne1867,2013/02/06,2013/02/19,\"Philadelphia, US\",\"Emily, Carter\"\ne1231,2012/03/02,2012/03/17,\"Bangkok, Thailand\",Andrew\ne593,2011/05/08,2011/05/22,\"London, UK\",\"Benjamin, Avery\"\ne1,2010/02/12,2010/02/18,\"Philadelphia, US\",\"Carter, Kayden\"\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/travel_dining-log.csv",
    "content": "eid,start_date,end_date,city,dining_date,food_type,food_location,place_visit_date,place,people,action,emotion\ne7,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/13,Chinese food,High Street Philly,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne8,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/15,Chinese food,High Street Philly,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne9,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/16,street food,Lunch Street,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne10,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/17,Japanese food,High Street Philly,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne11,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/18,Japanese food,Wood Street Pizza,2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne599,2011/05/08,2011/05/22,\"London, UK\",2011/05/09,Chinese food,Broadway Market,2011/05/13,Hyde Park,\"Benjamin, Avery\",took a selfie,special\ne600,2011/05/08,2011/05/22,\"London, UK\",2011/05/10,Japanese food,Berwick Street Market,2011/05/13,Hyde Park,\"Benjamin, Avery\",took a selfie,special\ne601,2011/05/08,2011/05/22,\"London, UK\",2011/05/11,Italian food,Berwick Street Market,2011/05/13,Hyde Park,\"Benjamin, Avery\",took a selfie,special\ne602,2011/05/08,2011/05/22,\"London, UK\",2011/05/12,Italian food,Broadway Market,2011/05/13,Hyde Park,\"Benjamin, Avery\",took a selfie,special\ne603,2011/05/08,2011/05/22,\"London, UK\",2011/05/14,Italian food,Broadway Market,2011/05/13,Hyde Park,\"Benjamin, Avery\",took a selfie,special\ne604,2011/05/08,2011/05/22,\"London, UK\",2011/05/15,Indian food,Berwick Street Market,2011/05/13,Hyde Park,\"Benjamin, Avery\",took a selfie,special\ne605,2011/05/08,2011/05/22,\"London, UK\",2011/05/17,Indian food,Bang Bang Oriental,2011/05/13,Hyde Park,\"Benjamin, Avery\",took a selfie,special\ne606,2011/05/08,2011/05/22,\"London, UK\",2011/05/18,Chinese food,Bang Bang Oriental,2011/05/13,Hyde Park,\"Benjamin, Avery\",took a selfie,special\ne607,2011/05/08,2011/05/22,\"London, UK\",2011/05/19,street food,Buck Street Market,2011/05/13,Hyde Park,\"Benjamin, Avery\",took a selfie,special\ne608,2011/05/08,2011/05/22,\"London, UK\",2011/05/20,Chinese food,Broadway Market,2011/05/13,Hyde Park,\"Benjamin, Avery\",took a selfie,special\ne609,2011/05/08,2011/05/22,\"London, UK\",2011/05/22,Italian food,Broadway Market,2011/05/13,Hyde Park,\"Benjamin, Avery\",took a selfie,special\ne1237,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/04,local food,Yaowarat,2012/03/07,Wat Suthat,Andrew,took a group photo,happy\ne1238,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/06,Indian food,Victory Monument,2012/03/07,Wat Suthat,Andrew,took a group photo,happy\ne1239,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/07,Italian food,Yaowarat,2012/03/07,Wat Suthat,Andrew,took a group photo,happy\ne1240,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/08,Indian food,Victory Monument,2012/03/07,Wat Suthat,Andrew,took a group photo,happy\ne1241,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/09,Italian food,Yaowarat,2012/03/07,Wat Suthat,Andrew,took a group photo,happy\ne1242,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/10,street food,Yaowarat,2012/03/07,Wat Suthat,Andrew,took a group photo,happy\ne1243,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/11,local food,Yaowarat,2012/03/07,Wat Suthat,Andrew,took a group photo,happy\ne1244,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/13,Chinese food,Ratchawat Market,2012/03/07,Wat Suthat,Andrew,took a group photo,happy\ne1245,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/15,Chinese food,Ratchawat Market,2012/03/07,Wat Suthat,Andrew,took a group photo,happy\ne1246,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/17,Japanese food,Ratchawat Market,2012/03/07,Wat Suthat,Andrew,took a group photo,happy\ne1873,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/07,street food,Wokworks City Hall Food Cart,2013/02/11,Independence Hall,\"Emily, Carter\",took a group photo,happy\ne1874,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/08,Japanese food,South Street Diner,2013/02/11,Independence Hall,\"Emily, Carter\",took a group photo,happy\ne1875,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/09,Chinese food,Wood Street Pizza,2013/02/11,Independence Hall,\"Emily, Carter\",took a group photo,happy\ne1876,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/11,Chinese food,High Street Philly,2013/02/11,Independence Hall,\"Emily, Carter\",took a group photo,happy\ne1877,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/12,Japanese food,Lunch Street,2013/02/11,Independence Hall,\"Emily, Carter\",took a group photo,happy\ne1878,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/13,street food,Wood Street Pizza,2013/02/11,Independence Hall,\"Emily, Carter\",took a group photo,happy\ne1879,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/14,Italian food,Wokworks City Hall Food Cart,2013/02/11,Independence Hall,\"Emily, Carter\",took a group photo,happy\ne1880,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/15,street food,South Street Diner,2013/02/11,Independence Hall,\"Emily, Carter\",took a group photo,happy\ne1881,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/17,Indian food,South Street Diner,2013/02/11,Independence Hall,\"Emily, Carter\",took a group photo,happy\ne1882,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/18,Chinese food,Wood Street Pizza,2013/02/11,Independence Hall,\"Emily, Carter\",took a group photo,happy\ne1883,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/19,Chinese food,Lunch Street,2013/02/11,Independence Hall,\"Emily, Carter\",took a group photo,happy\ne2510,2014/01/23,2014/01/29,\"Sydney, Australia\",2014/01/24,Chinese food,Thievery Chicken & Charcoal,2014/01/26,Sydney Harbour Bridge,\"Emily, Carter, Andrew\",took a selfie,happy\ne2511,2014/01/23,2014/01/29,\"Sydney, Australia\",2014/01/25,Chinese food,Bombay Street Kitchen,2014/01/26,Sydney Harbour Bridge,\"Emily, Carter, Andrew\",took a selfie,happy\ne2512,2014/01/23,2014/01/29,\"Sydney, Australia\",2014/01/26,Italian food,Love Crepe,2014/01/26,Sydney Harbour Bridge,\"Emily, Carter, Andrew\",took a selfie,happy\ne2513,2014/01/23,2014/01/29,\"Sydney, Australia\",2014/01/27,Chinese food,Thievery Chicken & Charcoal,2014/01/26,Sydney Harbour Bridge,\"Emily, Carter, Andrew\",took a selfie,happy\ne2514,2014/01/23,2014/01/29,\"Sydney, Australia\",2014/01/28,Japanese food,Bombay Street Kitchen,2014/01/26,Sydney Harbour Bridge,\"Emily, Carter, Andrew\",took a selfie,happy\ne3152,2015/03/03,2015/03/15,\"Shanghai, China\",2015/03/04,Japanese food,South Bund Fabric Market,,,,,\ne3153,2015/03/03,2015/03/15,\"Shanghai, China\",2015/03/05,Chinese food,Fangbang Xi Lu,,,,,\ne3154,2015/03/03,2015/03/15,\"Shanghai, China\",2015/03/06,Japanese food,South Bund Fabric Market,,,,,\ne3155,2015/03/03,2015/03/15,\"Shanghai, China\",2015/03/07,Indian food,Yuyuan Lu junction,,,,,\ne3156,2015/03/03,2015/03/15,\"Shanghai, China\",2015/03/08,Indian food,Fangbang Xi Lu,,,,,\ne3157,2015/03/03,2015/03/15,\"Shanghai, China\",2015/03/09,Chinese food,South Bund Fabric Market,,,,,\ne3158,2015/03/03,2015/03/15,\"Shanghai, China\",2015/03/10,Indian food,Wanhangdu Lu junction,,,,,\ne3159,2015/03/03,2015/03/15,\"Shanghai, China\",2015/03/11,local food,Wanhangdu Lu junction,,,,,\ne3160,2015/03/03,2015/03/15,\"Shanghai, China\",2015/03/12,Italian food,South Bund Fabric Market,,,,,\ne3161,2015/03/03,2015/03/15,\"Shanghai, China\",2015/03/13,Chinese food,Wanhangdu Lu junction,,,,,\ne3162,2015/03/03,2015/03/15,\"Shanghai, China\",2015/03/14,Chinese food,Yuyuan Lu junction,,,,,\ne3163,2015/03/03,2015/03/15,\"Shanghai, China\",2015/03/15,Italian food,Yuyuan Lu junction,,,,,\ne3811,2016/05/07,2016/05/20,\"London, UK\",2016/05/08,Indian food,Broadway Market,2016/05/12,Tower of London,Andrew,bought some souvenirs,special\ne3812,2016/05/07,2016/05/20,\"London, UK\",2016/05/09,Chinese food,Brixton Village,2016/05/12,Tower of London,Andrew,bought some souvenirs,special\ne3813,2016/05/07,2016/05/20,\"London, UK\",2016/05/10,Indian food,Berwick Street Market,2016/05/12,Tower of London,Andrew,bought some souvenirs,special\ne3814,2016/05/07,2016/05/20,\"London, UK\",2016/05/11,local food,Broadway Market,2016/05/12,Tower of London,Andrew,bought some souvenirs,special\ne3815,2016/05/07,2016/05/20,\"London, UK\",2016/05/12,Italian food,Broadway Market,2016/05/12,Tower of London,Andrew,bought some souvenirs,special\ne3816,2016/05/07,2016/05/20,\"London, UK\",2016/05/14,Italian food,Broadway Market,2016/05/12,Tower of London,Andrew,bought some souvenirs,special\ne3817,2016/05/07,2016/05/20,\"London, UK\",2016/05/15,Indian food,Brixton Village,2016/05/12,Tower of London,Andrew,bought some souvenirs,special\ne3818,2016/05/07,2016/05/20,\"London, UK\",2016/05/16,Indian food,Bang Bang Oriental,2016/05/12,Tower of London,Andrew,bought some souvenirs,special\ne3819,2016/05/07,2016/05/20,\"London, UK\",2016/05/17,local food,Brixton Village,2016/05/12,Tower of London,Andrew,bought some souvenirs,special\ne3820,2016/05/07,2016/05/20,\"London, UK\",2016/05/18,Japanese food,Buck Street Market,2016/05/12,Tower of London,Andrew,bought some souvenirs,special\ne3821,2016/05/07,2016/05/20,\"London, UK\",2016/05/20,Indian food,Brixton Village,2016/05/12,Tower of London,Andrew,bought some souvenirs,special\ne4455,2017/03/05,2017/03/16,\"Paris, France\",2017/03/06,street food,Panificio Bonci,2017/03/10,Notre Dame Cathedral,\"Andrew, Emily\",bought some souvenirs,impressed\ne4456,2017/03/05,2017/03/16,\"Paris, France\",2017/03/07,local food,Panificio Bonci,2017/03/10,Notre Dame Cathedral,\"Andrew, Emily\",bought some souvenirs,impressed\ne4457,2017/03/05,2017/03/16,\"Paris, France\",2017/03/10,street food,Man’Ouché,2017/03/10,Notre Dame Cathedral,\"Andrew, Emily\",bought some souvenirs,impressed\ne4458,2017/03/05,2017/03/16,\"Paris, France\",2017/03/11,Japanese food,Man’Ouché,2017/03/10,Notre Dame Cathedral,\"Andrew, Emily\",bought some souvenirs,impressed\ne4459,2017/03/05,2017/03/16,\"Paris, France\",2017/03/12,local food,Man’Ouché,2017/03/10,Notre Dame Cathedral,\"Andrew, Emily\",bought some souvenirs,impressed\ne4460,2017/03/05,2017/03/16,\"Paris, France\",2017/03/13,Chinese food,Man’Ouché,2017/03/10,Notre Dame Cathedral,\"Andrew, Emily\",bought some souvenirs,impressed\ne4461,2017/03/05,2017/03/16,\"Paris, France\",2017/03/14,street food,Man’Ouché,2017/03/10,Notre Dame Cathedral,\"Andrew, Emily\",bought some souvenirs,impressed\ne4462,2017/03/05,2017/03/16,\"Paris, France\",2017/03/15,Japanese food,Man’Ouché,2017/03/10,Notre Dame Cathedral,\"Andrew, Emily\",bought some souvenirs,impressed\ne4463,2017/03/05,2017/03/16,\"Paris, France\",2017/03/16,street food,Breizh Cafe,2017/03/10,Notre Dame Cathedral,\"Andrew, Emily\",bought some souvenirs,impressed\ne5101,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/10,Indian food,Ratchawat Market,2018/02/14,Wat Arun,\"Kayden, Carter, Emily\",bought some souvenirs,happy\ne5102,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/12,Japanese food,Victory Monument,2018/02/14,Wat Arun,\"Kayden, Carter, Emily\",bought some souvenirs,happy\ne5103,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/13,Italian food,Ratchawat Market,2018/02/14,Wat Arun,\"Kayden, Carter, Emily\",bought some souvenirs,happy\ne5104,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/14,Italian food,Yaowarat,2018/02/14,Wat Arun,\"Kayden, Carter, Emily\",bought some souvenirs,happy\ne5105,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/17,Chinese food,Ratchawat Market,2018/02/14,Wat Arun,\"Kayden, Carter, Emily\",bought some souvenirs,happy\ne5106,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/18,local food,Yaowarat,2018/02/14,Wat Arun,\"Kayden, Carter, Emily\",bought some souvenirs,happy\ne5107,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/19,street food,Victory Monument,2018/02/14,Wat Arun,\"Kayden, Carter, Emily\",bought some souvenirs,happy\ne5108,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/20,Italian food,Yaowarat,2018/02/14,Wat Arun,\"Kayden, Carter, Emily\",bought some souvenirs,happy\ne5109,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/21,Chinese food,Yaowarat,2018/02/14,Wat Arun,\"Kayden, Carter, Emily\",bought some souvenirs,happy\ne5110,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/22,local food,Victory Monument,2018/02/14,Wat Arun,\"Kayden, Carter, Emily\",bought some souvenirs,happy\ne5730,2019/03/19,2019/03/27,\"Rio, Brazil\",2019/03/20,Chinese food,Tapioca,2019/03/24,Cristo Redentor,\"Eva, Olivia\",took a group photo,impressed\ne5731,2019/03/19,2019/03/27,\"Rio, Brazil\",2019/03/21,Italian food,Pão de queijo,2019/03/24,Cristo Redentor,\"Eva, Olivia\",took a group photo,impressed\ne5732,2019/03/19,2019/03/27,\"Rio, Brazil\",2019/03/22,local food,Tapioca,2019/03/24,Cristo Redentor,\"Eva, Olivia\",took a group photo,impressed\ne5733,2019/03/19,2019/03/27,\"Rio, Brazil\",2019/03/23,local food,Tapioca,2019/03/24,Cristo Redentor,\"Eva, Olivia\",took a group photo,impressed\ne5734,2019/03/19,2019/03/27,\"Rio, Brazil\",2019/03/25,Italian food,Tapioca,2019/03/24,Cristo Redentor,\"Eva, Olivia\",took a group photo,impressed\ne5735,2019/03/19,2019/03/27,\"Rio, Brazil\",2019/03/26,street food,Tapioca,2019/03/24,Cristo Redentor,\"Eva, Olivia\",took a group photo,impressed\ne5736,2019/03/19,2019/03/27,\"Rio, Brazil\",2019/03/27,Chinese food,Bolinho de bacalhau,2019/03/24,Cristo Redentor,\"Eva, Olivia\",took a group photo,impressed\ne6413,2020/05/02,2020/05/12,\"Miami, US\",2020/05/03,local food,El Zambo Street Food,2020/05/06,Art Deco Historic District,\"Emily, Andrew\",took a group photo,happy\ne6414,2020/05/02,2020/05/12,\"Miami, US\",2020/05/04,local food,El Zambo Street Food,2020/05/06,Art Deco Historic District,\"Emily, Andrew\",took a group photo,happy\ne6415,2020/05/02,2020/05/12,\"Miami, US\",2020/05/06,Japanese food,El Zambo Street Food,2020/05/06,Art Deco Historic District,\"Emily, Andrew\",took a group photo,happy\ne6416,2020/05/02,2020/05/12,\"Miami, US\",2020/05/07,Japanese food,El Zambo Street Food,2020/05/06,Art Deco Historic District,\"Emily, Andrew\",took a group photo,happy\ne6417,2020/05/02,2020/05/12,\"Miami, US\",2020/05/08,Indian food,Miami Street Food Court,2020/05/06,Art Deco Historic District,\"Emily, Andrew\",took a group photo,happy\ne6418,2020/05/02,2020/05/12,\"Miami, US\",2020/05/09,Italian food,El Zambo Street Food,2020/05/06,Art Deco Historic District,\"Emily, Andrew\",took a group photo,happy\ne6419,2020/05/02,2020/05/12,\"Miami, US\",2020/05/10,street food,Miami Street Food Court,2020/05/06,Art Deco Historic District,\"Emily, Andrew\",took a group photo,happy\ne6420,2020/05/02,2020/05/12,\"Miami, US\",2020/05/11,Chinese food,Miami Street Food Court,2020/05/06,Art Deco Historic District,\"Emily, Andrew\",took a group photo,happy\ne7052,2021/02/07,2021/02/19,\"Dubai, UAE\",2021/02/09,Indian food,Falafel Alzaeem,2021/02/10,Burj Khalifa,\"Emily, Carter\",bought some souvenirs,impressed\ne7053,2021/02/07,2021/02/19,\"Dubai, UAE\",2021/02/10,Italian food,Falafel Alzaeem,2021/02/10,Burj Khalifa,\"Emily, Carter\",bought some souvenirs,impressed\ne7054,2021/02/07,2021/02/19,\"Dubai, UAE\",2021/02/11,Japanese food,Falafel Alzaeem,2021/02/10,Burj Khalifa,\"Emily, Carter\",bought some souvenirs,impressed\ne7055,2021/02/07,2021/02/19,\"Dubai, UAE\",2021/02/12,local food,Sind Punjab,2021/02/10,Burj Khalifa,\"Emily, Carter\",bought some souvenirs,impressed\ne7056,2021/02/07,2021/02/19,\"Dubai, UAE\",2021/02/13,Italian food,Falafel Alzaeem,2021/02/10,Burj Khalifa,\"Emily, Carter\",bought some souvenirs,impressed\ne7057,2021/02/07,2021/02/19,\"Dubai, UAE\",2021/02/14,Japanese food,Sind Punjab,2021/02/10,Burj Khalifa,\"Emily, Carter\",bought some souvenirs,impressed\ne7058,2021/02/07,2021/02/19,\"Dubai, UAE\",2021/02/15,Indian food,Falafel Alzaeem,2021/02/10,Burj Khalifa,\"Emily, Carter\",bought some souvenirs,impressed\ne7059,2021/02/07,2021/02/19,\"Dubai, UAE\",2021/02/17,Japanese food,Hor Al Anz Bakery,2021/02/10,Burj Khalifa,\"Emily, Carter\",bought some souvenirs,impressed\ne7060,2021/02/07,2021/02/19,\"Dubai, UAE\",2021/02/18,street food,Falafel Alzaeem,2021/02/10,Burj Khalifa,\"Emily, Carter\",bought some souvenirs,impressed\ne7711,2022/02/22,2022/02/28,\"Shanghai, China\",2022/02/23,local food,Yuyuan Lu junction,,,,,\ne7712,2022/02/22,2022/02/28,\"Shanghai, China\",2022/02/24,Chinese food,Fangbang Xi Lu,,,,,\ne7713,2022/02/22,2022/02/28,\"Shanghai, China\",2022/02/26,local food,Fangbang Xi Lu,,,,,\ne7714,2022/02/22,2022/02/28,\"Shanghai, China\",2022/02/28,Chinese food,Yuyuan Lu junction,,,,,\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/travel_places_visited-log.csv",
    "content": "eid,start_date,end_date,city,place_visit_date,place,people,action,emotion\ne2,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/13,Liberty Bell,\"Carter, Kayden\",took a group photo,impressed\ne3,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/14,Philadelphia Museum of Art,\"Carter, Kayden\",recorded some videos,happy\ne4,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/15,Ipanema,\"Carter, Kayden\",bought some souvenirs,happy\ne5,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/16,Carnaval,\"Carter, Kayden\",took a selfie,impressed\ne6,2010/02/12,2010/02/18,\"Philadelphia, US\",2010/02/17,Independence Hall,\"Carter, Kayden\",recorded some videos,happy\ne594,2011/05/08,2011/05/22,\"London, UK\",2011/05/09,Tower of London,\"Benjamin, Avery\",took a group photo,happy\ne595,2011/05/08,2011/05/22,\"London, UK\",2011/05/10,London Eye,\"Benjamin, Avery\",bought some souvenirs,special\ne596,2011/05/08,2011/05/22,\"London, UK\",2011/05/11,Westminster,\"Benjamin, Avery\",took a selfie,special\ne597,2011/05/08,2011/05/22,\"London, UK\",2011/05/12,Camden,\"Benjamin, Avery\",recorded some videos,happy\ne598,2011/05/08,2011/05/22,\"London, UK\",2011/05/13,Hyde Park,\"Benjamin, Avery\",took a selfie,special\ne1232,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/03,Wat Traimit,Andrew,bought some souvenirs,happy\ne1233,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/04,Wat Arun,Andrew,took a selfie,impressed\ne1234,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/05,Grand Palace,Andrew,took a selfie,happy\ne1235,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/06,National Museum & Wang Na Palace,Andrew,took a selfie,impressed\ne1236,2012/03/02,2012/03/17,\"Bangkok, Thailand\",2012/03/07,Wat Suthat,Andrew,took a group photo,happy\ne1868,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/07,Philadelphia Museum of Art,\"Emily, Carter\",took a group photo,special\ne1869,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/08,Liberty Bell,\"Emily, Carter\",bought some souvenirs,special\ne1870,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/09,Carnaval,\"Emily, Carter\",recorded some videos,happy\ne1871,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/10,Ipanema,\"Emily, Carter\",recorded some videos,happy\ne1872,2013/02/06,2013/02/19,\"Philadelphia, US\",2013/02/11,Independence Hall,\"Emily, Carter\",took a group photo,happy\ne2507,2014/01/23,2014/01/29,\"Sydney, Australia\",2014/01/24,Sydney Opera House,\"Emily, Carter, Andrew\",took a group photo,happy\ne2508,2014/01/23,2014/01/29,\"Sydney, Australia\",2014/01/25,Bondi Beach,\"Emily, Carter, Andrew\",recorded some videos,special\ne2509,2014/01/23,2014/01/29,\"Sydney, Australia\",2014/01/26,Sydney Harbour Bridge,\"Emily, Carter, Andrew\",took a selfie,happy\ne3806,2016/05/07,2016/05/20,\"London, UK\",2016/05/08,Westminster,Andrew,took a group photo,happy\ne3807,2016/05/07,2016/05/20,\"London, UK\",2016/05/09,Hyde Park,Andrew,took a group photo,special\ne3808,2016/05/07,2016/05/20,\"London, UK\",2016/05/10,Camden,Andrew,took a group photo,impressed\ne3809,2016/05/07,2016/05/20,\"London, UK\",2016/05/11,London Eye,Andrew,recorded some videos,happy\ne3810,2016/05/07,2016/05/20,\"London, UK\",2016/05/12,Tower of London,Andrew,bought some souvenirs,special\ne4450,2017/03/05,2017/03/16,\"Paris, France\",2017/03/06,Champs Elysées,\"Andrew, Emily\",bought some souvenirs,impressed\ne4451,2017/03/05,2017/03/16,\"Paris, France\",2017/03/07,Montmartre,\"Andrew, Emily\",recorded some videos,happy\ne4452,2017/03/05,2017/03/16,\"Paris, France\",2017/03/08,Louvre Museum,\"Andrew, Emily\",took a selfie,special\ne4453,2017/03/05,2017/03/16,\"Paris, France\",2017/03/09,Eiffel Tower,\"Andrew, Emily\",took a selfie,special\ne4454,2017/03/05,2017/03/16,\"Paris, France\",2017/03/10,Notre Dame Cathedral,\"Andrew, Emily\",bought some souvenirs,impressed\ne5096,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/10,Grand Palace,\"Kayden, Carter, Emily\",took a selfie,impressed\ne5097,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/11,Wat Suthat,\"Kayden, Carter, Emily\",bought some souvenirs,special\ne5098,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/12,National Museum & Wang Na Palace,\"Kayden, Carter, Emily\",took a selfie,special\ne5099,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/13,Wat Traimit,\"Kayden, Carter, Emily\",bought some souvenirs,impressed\ne5100,2018/02/09,2018/02/22,\"Bangkok, Thailand\",2018/02/14,Wat Arun,\"Kayden, Carter, Emily\",bought some souvenirs,happy\ne5725,2019/03/19,2019/03/27,\"Rio, Brazil\",2019/03/20,Sugarloaf,\"Eva, Olivia\",took a selfie,special\ne5726,2019/03/19,2019/03/27,\"Rio, Brazil\",2019/03/21,Ipanema,\"Eva, Olivia\",took a group photo,happy\ne5727,2019/03/19,2019/03/27,\"Rio, Brazil\",2019/03/22,Carnaval,\"Eva, Olivia\",took a selfie,happy\ne5728,2019/03/19,2019/03/27,\"Rio, Brazil\",2019/03/23,Copacabana,\"Eva, Olivia\",recorded some videos,special\ne5729,2019/03/19,2019/03/27,\"Rio, Brazil\",2019/03/24,Cristo Redentor,\"Eva, Olivia\",took a group photo,impressed\ne6409,2020/05/02,2020/05/12,\"Miami, US\",2020/05/03,Miami Beach,\"Emily, Andrew\",took a group photo,impressed\ne6410,2020/05/02,2020/05/12,\"Miami, US\",2020/05/04,Vizcaya Museum and Gardens,\"Emily, Andrew\",bought some souvenirs,impressed\ne6411,2020/05/02,2020/05/12,\"Miami, US\",2020/05/05,South Beach,\"Emily, Andrew\",bought some souvenirs,special\ne6412,2020/05/02,2020/05/12,\"Miami, US\",2020/05/06,Art Deco Historic District,\"Emily, Andrew\",took a group photo,happy\ne7049,2021/02/07,2021/02/19,\"Dubai, UAE\",2021/02/08,Miracle Garden,\"Emily, Carter\",took a group photo,special\ne7050,2021/02/07,2021/02/19,\"Dubai, UAE\",2021/02/09,Dubai Aquarium & Underwater Zoo,\"Emily, Carter\",took a group photo,happy\ne7051,2021/02/07,2021/02/19,\"Dubai, UAE\",2021/02/10,Burj Khalifa,\"Emily, Carter\",bought some souvenirs,impressed\ne77100,2022/02/22,2022/02/28,\"Shanghai, China\",2022/02/22,\"Shanghai, China\",\"Emily, Carter\",\"sightseeing\",impressed\ne31510,2015/03/03,2015/03/15,\"Shanghai, China\",2015/03/03,\"Shanghai, China\",\"Benjamin\",\"sightseeing\",impressed\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/views_idx.csv",
    "content": "tablename,embedding\nannual_medical_care_log,\"[0.018762968480587006, 0.03539874032139778, 0.007465643342584372, -0.027189940214157104, -0.02877170220017433, 0.008713326416909695, 0.0007503994274884462, -0.03070799633860588, -0.016881216317415237, -0.010751890018582344, 0.013615423813462257, 0.011556406505405903, -0.0343896858394146, -0.005253221839666367, 0.008147437125444412, 0.02174922451376915, 0.031607966870069504, -0.014290399849414825, 0.0026504737325012684, -0.0394895039498806, -0.013349524699151516, 0.0038078189827501774, -0.027639925479888916, 0.020617447793483734, -0.00886332057416439, 0.02646723948419094, -0.005641844589263201, -0.01966293528676033, -0.022458290681242943, -0.011024607345461845, 0.011726855300366879, -0.009074676781892776, -0.001028656493872404, -0.04838009551167488, -0.006644081324338913, 0.006204324308782816, 0.0026947904843837023, -0.0062179602682590485, 0.051434531807899475, -0.010172365233302116, 0.012231382541358471, 0.0343896858394146, 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  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/views_metadata.txt",
    "content": "#This file contains meta data about views. \n#name: The name of the view, \n#description: a text description of what the view contains, \n#schema: the schema, \n#example queries: examples of questions that may be posed against this view \n#additional_context: additional special instructions to pass to codex\n#foreign key: optionally foreign keys if available, \n#<attribute_name>: and a description of each attribute. \n\nname: annual_medical_care_log\ndescription: different types of medical appointments for myself, my children/kids, or my parents, and when. E.g., I brought my kids for their vision checkup on Jan 03, 2021. \nschema: (eid,date,for_whom,type_of_care)\nexample queries: When was my last vision checkup? How many dental appointments did my kids have in 2020? When did my parents go for their medical checkup in 2021?\nadditional_context: The for_whom column describes checkups for myself as \"personal_medical_checkup\".\nforeign key: -\neid: TEXT  // primary key \ndate: DATETYPE // the day of the appointment. \nfor_whom: TEXT // who the medical appointment is for (parents, children, or self) TEXT\ntype_of_care: TEXT // the type of medical appointment (dental, vision, physical)\n\nname: daily_chat_log\ndescription: records talks/chats with people on some date and time. E.g., I spent 24 minutes talking to Emily and Bob on the morning of August 6, 2017.\nschema: (eid,date,timeofday,howlong,friends)\nexample queries: When was the last time I chat with Rachel in the morning? How long did I chat with my friends yesterday? Who did I talk to on 12 May, 2018? \nadditional_context: \nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day the chat/talk took place\ntimeofday: TEXT // when the chat/talk took place during the day (morning, afternoon, or evening)\nhowlong: INTEGER // the length/duration of the chat/talk in minutes\nfriends: TEXT // the list of people whom I talked to\n\nname: daily_exercise_log\ndescription: records of different types of exercises done (running/jogging, swimming, walking etc.) and the corresponding heart rate. E.g., I went swimming on Jun 20, 2019 and my average heart rate was 145BPM.\nschema: (eid,date,exercise,heart_rate)\nexample queries: how many times did I run or bike last month? Which month did I exercise the most?  Which year did I exercise the most?\nadditional_context: \nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day of exercise\nexercise: TEXT // type of exercise (swimming, running/jogging, yoga, walking, etc.)\nheart_rate: INTEGER // the average heart rate in BPM during exercise\n\nname: daily_meal_log\ndescription: records of meals eaten, types of food, friends or people involved, and on which day or date. E.g., I had oatmeal for breakfast on April 7, 2011 with John and Carter.\nschema: (eid,date,mealtype,foodtype,people_string)\nexample queries: How many times did I have cereals for breakfast in April 2020? What did I last eat with Jane for lunch? \nadditional_context: \nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day of the meal\nmealtype: TEXT // type of meal (breakfast, lunch, dinner, snack)\nfoodtype: TEXT // type of food (chinese, pasta, tacos etc.)\npeople_string: TEXT // list of people or friends \n\nname: daily_read_log\ndescription: what is read (e.g., books, news, social media) and for how long\nschema: (eid,date,readtype,howlong). E.g., I spent 30 mins reading news on 22 June 2018.\nexample queries: how much time did I spend on social media or the news last month? How many books did I read in 2020? \nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // date the reading activity took place\nreadtype: TEXT // source of reading material (books, news, magazine, social media) \nhowlong: INTEGER // the length/duration of the reading activity\n\nname: daily_watchtv_log\ndescription: what is watched on tv (e.g., movie, tv series, documentary, or news), on which day or date and for how long. E.g., I watched a movie for 2 hrs on 18 June 2019.\nschema: (eid,date,watchtype,howlong)\nexample queries: When was the last time I watch a movie or news? How long did I spend watching tv in 2020\nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day where this event, watching tv, occurred\nwatchtype: TEXT // what is watched on tv (movie, tv series, news)\nhowlong: INTEGER // the length/duration spent watching tv\n\nname: marriages_log\ndescription: records the date of marriage, name of spouse or partner, and where the marriage took place. E.g., I married John on May 2, 2010 in Marin County, California.\nschema: (eid,married_date,partner_name,location)\nexample queries: when was my first marriage and where? How many times did I get married?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\nmarried_date: DATETYPE // the date of marriage\npartner_name: TEXT // name of partner or spouse\nlocation: TEXT // the location where the marriage took place\n\nname: monthly_pet_care_log\ndescription: date that the pet (e.g., dog or cat) was taking for grooming or medical checkups. E.g., Roki was groomed and had his nails trimmed on 2 Jan 2022.\nschema: (eid,date,pet_care_type)\nexample queries: When did I last take Rocky to a bath? How many times did Rocky groom and got his nails trimmed in 2021?  Did Rocky go for a medical checkup last year?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day of the pet care or grooming\npet_care_type: TEXT // grooming (bath, grooming, nail trim)\n\nname: moves_log\ndescription: when a move or relocation was made and the destination location. E.g., I moved to Madison, Wisconsin for college on 20 August, 2018.\nschema: (id,date,type_of_move,destination)\nexample queries: when did I move to college? \nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day of of the move\ntype_of_move: TEXT // the type of move or reason for moving (move due to job, college, graduate school)\ndestination: TEXT // the place moved to\n\nname: travel_log\ndescription: record of where I traveled, the travel destination, with whom, and the start and end dates of travel. E.g., I went to San Francisco from September 7, 2019 to September 17, 2019 with John and Carter.\nschema: (eid,start_date,end_date,city,people)\nexample queries: When did I visit Tokyo in 2021? Who did I go London with in 2021? How long was I in Taipei, Taiwan in 2021?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\nstart_date: DATETYPE // the first day of travel for this record\nend_date: DATETYPE // the last day of travel for this record\ncity: TEXT // the destination or city traveled to\npeople: TEXT // the people or friends traveling with you\n\nname: travel_dining_log\ndescription: records of dining events or meals during travel at the city, the food, the place where the meal took place, the date of the dining event, the people or friends at the dining event, and the emotion associated. E.g., I went to San Francisco from September 7, 2019 to September 17, 2019 and had pasta at Pier 39.\nschema: (eid,start_date,end_date,city,dining_date,food_type,food_location,place_visit_date,place,people,action,emotion)\nexample queries: what did I last eat in Philadelphia? Where was the location of the restaurant I dined in the last day of London?\nadditional_context:\nforeign key: (eid,start_date,end_date,city) is a foreign key in travel_log\neid: TEXT // primary key\nstart_date: DATETYPE // the first day of travel for this record\nend_date: DATETYPE // the last day of travel for this record\ncity: TEXT // the destination or city traveled to\ndining_date: DATETYPE // the date this dining event took place\nfood_type: TEXT // type of food (Chinese, Italian, Indian, Japanese, etc.)\nfood_location: TEXT // name of restaurant or street name where the meal took place\nplace_visit_date: DATETYPE // date that place was visited during the same trip\nplace: TEXT // a place visited during the same trip\npeople: TEXT // list of people or friends who were at the same trip\naction: TEXT // an activity done during at the place that was visited (took a group photo, or a selfie, bought souvenirs)\nemotion: TEXT // feelings associated with the action taken (happy, impressed)\n\nname: travel_places_visited_log\ndescription: the start and end date of the travel, the city visited (e.g., London, Sydney) and with whom and the things done. E.g., I went to San Francisco from September 7, 2019 to September 17, 2019 and visited Union Square with John and Carter on September 8, 2019. We took some pictures and were happy.\nschema: (eid,start_date,end_date,city,place_visit_date,place,people,action,emotion)\nexample queries: How many places did I visit when I was in Tokyo in 2021? Did I go to the Museum of Arts when I last visited Philadelphia? \nadditional_context:\nforeign key: (eid,start_date,end_date,city) is a foreign key in travel_log\neid: TEXT // primary key\nstart_date: DATETYPE // the first day of travel for this record\nend_date: DATETYPE // the last day of travel for this record\ncity: TEXT // the destination or city traveled to\nplace_visit_date: DATETYPE // date that place was visited during the same trip\nplace: TEXT // a place visited during the same trip\npeople: TEXT // list of people or friends who were at the same trip\naction: TEXT // an activity done during at the place that was visited (took a group photo, or a selfie, bought souvenirs)\nemotion: TEXT // feelings associated with the action taken (happy, impressed)\n\nname: weekly_bakeorcook_log\ndescription: records the type of dishes or cuisines I make (e.g., dessert, pie, jam, cookies), where it was made and with whom and the day it was made. E.g., I baked chocolate cake at my place with Amy and Brandy on February 6, 2019.\nschema: (eid,date,cuisine,location,people)\nexample queries: When did I last bake a pie? What dishes did I cook the most often in 2021?  Who made a chocolate cake with me in April 2022?  How many times did I make bread in 2022? \nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day the baking or cooking took place\ncuisine: TEXT // the type of dish made (chocolate chip, cake, steak, chinese stir fry)\nlocation: TEXT // the place where was the dish made. Usually it is \"my place\"\npeople: TEXT // the list of people or friends' names\n\nname: weekly_dating_log\ndescription: records of dating events, including the name of the date and the location where the dating took place. E.g., I dated Jimmy on May 3, 2018 at Filoli Gardens.\nschema: (eid,date,people_string,location)\nexample queries: where did I spend time with Avery in 2022? \nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day when the dating event happened\npeople_string: TEXT // the people in the dating event\nlocation: TEXT // the location of the dating event\n\nname: weekly_grocery_log\ndescription: records of the fruits, drinks, and toiletries shopped and bought during a certain day, and the people involved in the same grocery shopping trip. E.g., I bought strawberries and bananas, milk, and toothpaste from the supermarket with Jimmy and Carter.\nschema: (eid,date,fruits,drinks,toiletries,people_string)\nexample queries: How many trips did I make to the supermarket in April 2021?  When did I last buy toothpaste? How many times did I buy fruits in May 2020?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day the groceries were purchased\nfruits: TEXT // fruits (apples, peaches, guava, bananas, etc.)\ndrinks: TEXT // drinks (mango juice, soda, milk, water, etc.)\ntoiletries: TEXT // toiletries (toothpaste, facial/body/mouth wash, facial/body/hand lotion etc.)\npeople_string: TEXT // the people or friends who were also there for this shopping event\n\nname: weekly_hobby_log\ndescription: records which hobbies were carried out during a certain day and the people involved. What did I do? What did I do on a certain day and with whom? E.g., I meditated with John on January 15, 2017.\nschema: (eid,date,hobbies,people_string)\nexample queries: How many times did I meditate in 2021? How many times did I work out in May 2021?\nadditional_context:\nforeign key: -\neid: TEXT // primary key\ndate: DATETYPE // the day the hobby was done\nhobbies: TEXT // an activity that is carried out regularly (meditation, yoga, jogging, working out)\npeople_string: TEXT // the people or friends who were together for this hobby\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/weekly_bakeorcook-log.csv",
    "content": "eid,date,cuisine,location,people\ne2522,2014/02/02,\"easy chocolate marshmallow cups, chocolate-chip mug brownie, birthday cupcakes with white wine buttercream\",my place,\"Andrew, Kayden, Carter, Emily\"\ne2524,2014/02/05,\"brownies, chocolate chip cookie in a mug, cinnamon sheet cake with cider frosting\",my place,Willow\ne2527,2014/02/21,fig tarte tatin,my place,Piper\ne2538,2014/04/05,\"chinese broccoli with oyster sauce, crockpot spareribs\",my place,Andrew\ne2539,2014/04/03,\"dessert nachos, gluten-free apple rose tart\",my place,\"Jackson, Benjamin, Avery\"\ne2550,2014/06/08,\"blackberry jam pie-crust straws, cinnamon sheet cake with cider frosting\",my place,\"Carter, Andrew\"\ne2559,2014/07/11,turkey shepherd’s pie,my place,\"Benjamin, Willow\"\ne2569,2014/08/31,\"au gratin peas and potatoes, vietnamese coffee\",my place,\"Andrew, Emily, Carter, Kayden\"\ne2587,2014/12/10,asian slaw,my place,\"Avery, Benjamin\"\ne3222,2015/11/19,\"gluten-free apple rose tart, fig tarte tatin, birthday cupcakes with white wine buttercream\",my place,\"Piper, Olivia, Kinsley, Hazel\"\ne3829,2016/01/28,\"cinnamon sheet cake with cider frosting, cranberry apple danish, giant cinnamon roll\",my place,\"Andrew, Carter, Emily\"\ne3834,2016/02/01,\"peanut butter cookies, blackberry jam pie-crust straws, easy chocolate marshmallow cups\",my place,Avery\ne3848,2016/03/30,contest-winning broccoli chicken casserole,my place,\"Andrew, Emily, Carter\"\ne3851,2016/04/28,hamburger stroganoff,my place,\"Rylee, Claire\"\ne3854,2016/05/05,\"cream-filled bundt cake, easy cherry skillet cake\",my place,\"Andrew, Kayden, Emily, Carter\"\ne3861,2016/06/02,\"cream-filled bundt cake, brownies, chocolate skillet cake\",my place,\"Lydia, Claire, Rylee, Piper\"\ne3869,2016/07/17,\"asian slaw, thai noodle salad, thai green curry paste\",my place,\"Nora, Layla, Rylee\"\ne3877,2016/08/28,\"cube steak and gravy, scallion pancake, gado gado\",my place,\"Nora, Hazel, Layla\"\ne3881,2016/09/19,chrissy teigen’s 3-ingredient chocolate mousse,my place,\"Kayden, Emily, Andrew\"\ne3893,2016/11/16,\"lemon meringue cookies, blackberry-raspberry skillet cobbler, chocolate skillet cake\",my place,\"Carter, Emily, Andrew\"\ne4474,2017/01/25,\"au gratin peas and potatoes, air-fryer brats, wonton soup\",my place,\"Carter, Emily, Andrew, Kayden\"\ne4478,2017/01/30,so-easy sloppy joes,my place,\"Carter, Kayden\"\ne4480,2017/02/17,\"carrot cake, chocolate-chip mug brownie\",my place,Emily\ne4497,2017/06/22,\"easy cherry skillet cake, lemon meringue cookies\",my place,\"Willow, Jackson, Benjamin\"\ne4498,2017/07/06,\"chocolate chip cookie in a mug, easy cherry skillet cake\",my place,Willow\ne4513,2017/09/08,\"peanut butter cookies, giant cinnamon roll, pistachio oat squares\",my place,Emily\ne4528,2017/11/16,contest-winning broccoli chicken casserole,my place,\"Kayden, Andrew, Carter, Emily\"\ne4533,2017/12/07,\"vegan sugar cookies, lemon meringue cookies, birthday cupcakes with white wine buttercream\",my place,\"Andrew, Emily, Kayden, Carter\"\ne5123,2018/02/24,\"swedish meatball recipe, chicken cordon bleu skillet\",my place,Andrew\ne5139,2018/05/02,\"broccoli-stuffed chicken, lo mein, gado gado\",my place,\"Carter, Andrew\"\ne5143,2018/05/27,blackberry-raspberry skillet cobbler,my place,Lydia\ne5153,2018/07/04,\"peanut butter cookies, chocolate chip cookie in a mug, carrot cake\",my place,\"Jackson, Willow, Benjamin\"\ne5168,2018/09/08,\"chinese vegetable stir-fry, vietnamese coffee, cube steak and gravy\",my place,\"Eva, Piper\"\ne5746,2019/01/20,chocolate skillet cake,my place,\"Emily, Andrew, Carter\"\ne5748,2019/02/11,\"indian red lentil, air-fryer brats\",my place,\"Emily, Carter, Andrew\"\ne5761,2019/03/30,\"blackberry-raspberry skillet cobbler, cheater’s mini rhubarb galettes, chocolate skillet cake\",my place,\"Carter, Kayden\"\ne5763,2019/04/15,fig tarte tatin,my place,\"Benjamin, Jackson, Avery, Willow\"\ne5774,2019/06/17,asian slaw,my place,Piper\ne5777,2019/06/29,\"chinese chicken wings, thai noodle salad, split pea soup with ham & jalapeno\",my place,\"Kayden, Carter\"\ne5799,2019/10/06,\"gluten-free apple rose tart, chocolate chip cookie in a mug, homemade toaster pastries\",my place,\"Nevaeh, Layla\"\ne5809,2019/11/16,\"swedish meatball recipe, scallion pancake, chicken parmesan spaghetti\",my place,\"Claire, Piper, Lydia\"\ne5810,2019/11/18,\"blackberry-raspberry skillet cobbler, giant cinnamon roll, birthday cupcakes with white wine buttercream\",my place,Kayden\ne6485,2020/11/03,\"cheesy ham chowder, chinese broccoli with oyster sauce, shrimp quesadilla\",my place,\"Claire, Olivia\"\ne7084,2021/03/19,poke,my place,\"Andrew, Emily\"\ne7128,2021/11/14,\"cube steak and gravy, poke\",my place,Kayden\ne7134,2021/12/12,\"carrot cake, chocolate skillet cake, cranberry apple danish\",my place,\"Avery, Olivia, Kinsley\"\ne7746,2022/05/01,brownies,my place,Eva\ne7754,2022/06/23,lemon meringue cookies,my place,\"Kayden, Carter\"\ne7769,2022/08/22,cinnamon sheet cake with cider frosting,my place,\"Carter, Andrew, Kayden, Emily\"\ne7786,2022/11/28,\"cream-filled bundt cake, chocolate-chip mug brownie\",my place,\"Kayden, Emily\"\ne7788,2022/12/05,\"brownies, chocolate chip cookie in a mug, fig tarte tatin\",my place,\"Eva, Olivia, Kinsley\"\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/weekly_dating-log.csv",
    "content": "eid,date,people_string,location\ne16,2010/01/02,Leah,a boba shop\ne18,2010/01/14,Mila,a park\ne20,2010/02/02,Noah,a boba shop\ne22,2010/02/09,Nora,a park\ne23,2010/02/20,Daniel,a coffee Shop\ne24,2010/03/06,Grace,a coffee Shop\ne25,2010/03/09,Colton,a coffee Shop\ne27,2010/03/15,Carson,a park\ne29,2010/03/20,Jade,a boba shop\ne38,2010/06/13,Isabella,a park\ne43,2010/06/29,James,a boba shop\ne44,2010/07/04,Richard,a boba shop\ne45,2010/07/08,Jayden,a restaurant\ne54,2010/08/13,Elias,a park\ne55,2010/08/18,Aria,a boba shop\ne57,2010/08/23,Athena,a boba shop\ne58,2010/09/03,Skylar,a boba shop\ne64,2010/10/27,Leonardo,a coffee Shop\ne65,2010/10/31,Aaliyah,a coffee Shop\ne68,2010/11/20,Anthony,a coffee Shop\ne70,2010/12/05,Ava,a park\ne73,2010/12/12,Henry,a restaurant\ne75,2010/12/20,Jace,a restaurant\ne619,2011/02/05,Paisley,a coffee Shop\ne620,2011/02/15,Marzieh,a restaurant\ne626,2011/03/11,Peyton,a coffee Shop\ne630,2011/04/01,Eleanor,a restaurant\ne633,2011/04/15,Hannah,a park\ne640,2011/05/12,Silas,a boba shop\ne642,2011/05/15,Isla,a coffee Shop\ne643,2011/05/17,Gianna,a park\ne645,2011/06/06,Lillian,a restaurant\ne649,2011/06/25,Angel,a park\ne650,2011/07/01,Isabella,a park\ne657,2011/08/10,Cameron,a park\ne659,2011/08/13,Angel,a coffee Shop\ne661,2011/08/24,Isabella,a coffee Shop\ne664,2011/09/04,Noah,a boba shop\ne666,2011/09/13,Aurora,a boba shop\ne671,2011/10/15,Isabella,a coffee Shop\ne679,2011/11/16,Greyson,a restaurant\ne683,2011/12/05,Nathan,a park\ne685,2011/12/13,Everett,a boba shop\ne1251,2012/01/13,Austin,a park\ne1253,2012/01/24,Asher,a boba shop\ne1254,2012/01/26,Lincoln,a coffee Shop\ne1256,2012/02/06,Aaron,a boba shop\ne1257,2012/02/15,James,a park\ne1260,2012/02/22,Christophe,a restaurant\ne1264,2012/03/08,Avery,a coffee Shop\ne1265,2012/03/16,Leah,a boba shop\ne1266,2012/03/24,Piper,a park\ne1270,2012/04/10,Connor,a park\ne1273,2012/04/28,Scarlett,a restaurant\ne1275,2012/05/08,Elijah,a restaurant\ne1277,2012/05/13,Ellie,a coffee Shop\ne1278,2012/05/18,Dylan,a park\ne1280,2012/05/28,Maya,a boba shop\ne1284,2012/06/28,Audrey,a coffee Shop\ne1286,2012/07/02,David,a boba shop\ne1291,2012/07/21,Genesis,a restaurant\ne1303,2012/10/11,Everleigh,a restaurant\ne1305,2012/10/17,Olivia,a restaurant\ne1310,2012/11/30,Ethan,a restaurant\ne1314,2012/12/19,Hunter,a park\ne1888,2013/01/20,Leo,a park\ne1890,2013/01/27,Caleb,a coffee Shop\ne1894,2013/02/18,Chloe,a park\ne1897,2013/03/24,Savannah,a park\ne1899,2013/03/29,Eli,a restaurant\ne1905,2013/05/06,Jaxson,a restaurant\ne1907,2013/05/08,Liam,a restaurant\ne1908,2013/05/10,Sadie,a coffee Shop\ne1911,2013/06/03,Alon,a park\ne1914,2013/06/07,Bella,a park\ne1916,2013/06/28,Lydia,a restaurant\ne1918,2013/07/02,Jackson,a boba shop\ne1920,2013/07/13,Lydia,a park\ne1923,2013/07/20,Savannah,a restaurant\ne1924,2013/07/29,Logan,a coffee Shop\ne1928,2013/08/10,William,a park\ne1930,2013/08/26,Hunter,a restaurant\ne1934,2013/09/07,Christian,a coffee Shop\ne1938,2013/10/28,Josephine,a park\ne1941,2013/11/08,Jonathan,a restaurant\ne1942,2013/12/02,Kinsley,a coffee Shop\ne1944,2013/12/12,Mateo,a coffee Shop\ne1947,2013/12/23,Delilah,a restaurant\ne2518,2014/01/02,William,a restaurant\ne2520,2014/01/14,Mason,a restaurant\ne2523,2014/02/03,Leilani,a boba shop\ne2525,2014/02/13,Abigail,a boba shop\ne2528,2014/02/25,Wyatt,a boba shop\ne2533,2014/03/22,Mike,a boba shop\ne2535,2014/03/27,Ian,a coffee Shop\ne2544,2014/04/26,Sophie,a park\ne2546,2014/05/10,Natalia,a boba shop\ne2547,2014/05/16,Amelia,a boba shop\ne2554,2014/06/29,Adam,a park\ne2560,2014/07/13,Julian,a boba shop\ne2561,2014/07/21,Nova,a coffee Shop\ne2563,2014/07/28,Emilia,a restaurant\ne2565,2014/08/11,Kinsley,a boba shop\ne2568,2014/08/26,Oliver,a park\ne2570,2014/08/31,Mike,a restaurant\ne2576,2014/10/12,Leilani,a restaurant\ne2581,2014/11/04,Christian,a boba shop\ne2583,2014/11/14,Wyatt,a park\ne2584,2014/11/18,Nathan,a coffee Shop\ne2586,2014/12/04,Lillian,a boba shop\ne2588,2014/12/16,Emma,a park\ne3167,2015/01/07,Olivia,a boba shop\ne3169,2015/01/12,Roman,a restaurant\ne3174,2015/02/11,Delilah,a coffee Shop\ne3181,2015/03/12,Mateo,a park\ne3186,2015/04/14,Ella,a restaurant\ne3188,2015/05/15,Nora,a park\ne3189,2015/05/26,Brooklyn,a boba shop\ne3198,2015/07/13,Victoria,a park\ne3201,2015/07/31,Aubrey,a coffee Shop\ne3202,2015/08/02,Jaxon,a boba shop\ne3205,2015/08/19,Ariana,a coffee Shop\ne3210,2015/09/06,Silas,a park\ne3213,2015/09/28,Mike,a park\ne3217,2015/10/19,Mateo,a restaurant\ne3218,2015/10/26,Madelyn,a park\ne3221,2015/11/09,Hunter,a restaurant\ne3223,2015/11/24,Jonathan,a boba shop\ne3224,2015/12/04,Silas,a restaurant\ne3225,2015/12/07,Lydia,a park\ne3228,2015/12/12,Benjamin,a coffee Shop\ne3229,2015/12/15,Jaxson,a restaurant\ne3231,2015/12/25,Aaliyah,a coffee Shop\ne3232,2015/12/28,Elena,a park\ne3826,2016/01/12,Naomi,a boba shop\ne3830,2016/01/25,Claire,a boba shop\ne3835,2016/02/01,Nova,a restaurant\ne3841,2016/02/22,Naomi,a park\ne3843,2016/03/02,Wesley,a coffee Shop\ne3845,2016/03/07,Jaxson,a boba shop\ne3847,2016/03/21,Grayson,a boba shop\ne3855,2016/05/06,Liam,a boba shop\ne3863,2016/06/21,Santiago ,a park\ne3871,2016/08/01,Jordan,a restaurant\ne3873,2016/08/11,Wesley,a coffee Shop\ne3878,2016/09/02,Evelyn,a park\ne3883,2016/09/27,Mila,a restaurant\ne3884,2016/10/01,Nathan,a coffee Shop\ne3889,2016/10/25,Lucas,a boba shop\ne3892,2016/11/07,Camila,a restaurant\ne3897,2016/11/25,Hannah,a restaurant\ne3898,2016/11/30,Aaliyah,a coffee Shop\ne3901,2016/12/19,Christophe,a restaurant\ne3904,2016/12/25,Jose,a park\ne4467,2017/01/03,Nicholas,a boba shop\ne4469,2017/01/10,Marzieh,a boba shop\ne4470,2017/01/14,Jack,a park\ne4483,2017/03/30,Nevaeh,a coffee Shop\ne4485,2017/04/07,Owen,a park\ne4487,2017/05/04,Sadie,a park\ne4491,2017/05/27,Allison,a restaurant\ne4492,2017/06/01,Emery,a coffee Shop\ne4493,2017/06/05,Carson,a restaurant\ne4494,2017/06/08,Jayden,a coffee Shop\ne4499,2017/07/02,Daniel,a boba shop\ne4500,2017/07/06,Kennedy,a restaurant\ne4502,2017/07/10,Caroline,a boba shop\ne4503,2017/07/29,Emma,a park\ne4504,2017/08/01,Isabella,a park\ne4510,2017/08/21,Dylan,a boba shop\ne4512,2017/08/28,Isaiah,a boba shop\ne4515,2017/09/13,Lincoln,a coffee Shop\ne4519,2017/10/05,Ezra,a coffee Shop\ne4521,2017/10/12,Silas,a restaurant\ne4522,2017/10/21,Delilah,a park\ne4526,2017/10/29,Alexander,a coffee Shop\ne4534,2017/12/10,Matthew,a boba shop\ne5115,2018/01/18,Isla,a park\ne5120,2018/02/06,Jeremiah,a restaurant\ne5128,2018/03/10,Charles,a restaurant\ne5133,2018/04/02,Henry,a coffee Shop\ne5134,2018/04/09,Jaxon,a coffee Shop\ne5135,2018/04/12,Nathan,a restaurant\ne5137,2018/04/21,David,a park\ne5142,2018/05/17,Owen,a restaurant\ne5148,2018/06/17,Daniel,a coffee Shop\ne5151,2018/06/29,Elijah,a restaurant\ne5154,2018/07/07,James,a restaurant\ne5157,2018/07/24,Autumn,a restaurant\ne5162,2018/08/19,Aaron,a coffee Shop\ne5164,2018/08/21,Chris,a boba shop\ne5169,2018/09/04,Isaac,a park\ne5171,2018/10/02,Piper,a boba shop\ne5175,2018/10/28,Kinsley,a coffee Shop\ne5181,2018/11/15,Sarah,a coffee Shop\ne5186,2018/12/02,Joshua,a park\ne5189,2018/12/15,Aurora,a restaurant\ne5194,2018/12/23,Sofia,a coffee Shop\ne5742,2019/01/04,Josephine,a park\ne5749,2019/02/10,Cora,a coffee Shop\ne5752,2019/02/15,Ivy,a coffee Shop\ne5754,2019/02/25,Jaxson,a restaurant\ne5759,2019/03/18,Athena,a restaurant\ne5765,2019/05/02,Isla,a boba shop\ne5767,2019/05/07,Theodore,a park\ne5768,2019/05/10,Valentina,a restaurant\ne5771,2019/05/25,Lily,a park\ne5775,2019/06/20,Ethan,a coffee Shop\ne5776,2019/06/21,Eva,a boba shop\ne5780,2019/07/09,Oliver,a park\ne5781,2019/07/22,Elizabeth,a park\ne5784,2019/08/06,Elias,a restaurant\ne5785,2019/08/12,Aaliyah,a park\ne5790,2019/09/05,Aurora,a restaurant\ne5792,2019/09/14,Eva,a coffee Shop\ne5800,2019/10/04,Ivy,a boba shop\ne5803,2019/10/18,Elizabeth,a restaurant\ne5807,2019/11/08,Leonardo,a restaurant\ne5811,2019/11/18,Claire,a restaurant\ne5815,2019/12/06,Leilani,a coffee Shop\ne5818,2019/12/27,Oliver,a coffee Shop\ne6426,2020/01/27,Zoey,a boba shop\ne6428,2020/02/02,Claire,a coffee Shop\ne6433,2020/02/25,Lucy,a coffee Shop\ne6435,2020/03/10,Emilia,a boba shop\ne6436,2020/03/20,Quinn,a restaurant\ne6441,2020/04/11,Michael,a restaurant\ne6444,2020/04/17,Claire,a boba shop\ne6448,2020/05/02,Isabella,a coffee Shop\ne6449,2020/05/08,Eva,a park\ne6450,2020/05/13,Claire,a park\ne6452,2020/05/26,Austin,a boba shop\ne6453,2020/06/01,Ellie,a boba shop\ne6456,2020/07/07,Peyton,a coffee Shop\ne6458,2020/07/18,Everett,a boba shop\ne6460,2020/08/09,Eva,a restaurant\ne6463,2020/08/16,Lillian,a boba shop\ne6465,2020/08/20,Marzieh,a boba shop\ne6466,2020/08/23,Jordan,a boba shop\ne6468,2020/09/01,Silas,a coffee Shop\ne6473,2020/09/21,Piper,a coffee Shop\ne6477,2020/10/06,Aaliyah,a boba shop\ne6483,2020/10/27,Owen,a coffee Shop\ne6486,2020/11/03,Rylee,a coffee Shop\ne6489,2020/11/17,Nora,a coffee Shop\ne6493,2020/11/20,Brooklyn,a park\ne6495,2020/12/16,Amelia,a boba shop\ne7068,2021/01/10,Wyatt,a restaurant\ne7071,2021/01/18,Nova,a park\ne7072,2021/01/28,Zoe,a boba shop\ne7075,2021/02/08,Eliana,a park\ne7077,2021/02/19,Lillian,a boba shop\ne7079,2021/03/01,Avery,a park\ne7086,2021/03/29,Aaliyah,a park\ne7093,2021/05/15,Hannah,a coffee Shop\ne7094,2021/05/17,Everly,a restaurant\ne7095,2021/06/03,Naomi,a park\ne7096,2021/06/17,Isaac,a restaurant\ne7097,2021/06/21,Sophia,a boba shop\ne7098,2021/06/25,Leah,a park\ne7102,2021/07/18,Lily,a boba shop\ne7103,2021/07/29,Wyatt,a restaurant\ne7105,2021/08/08,Riley,a restaurant\ne7108,2021/08/31,Roman,a boba shop\ne7112,2021/09/12,Victoria,a park\ne7113,2021/09/17,Dominic,a boba shop\ne7114,2021/09/21,Skylar,a park\ne7117,2021/10/07,Scarlett,a coffee Shop\ne7119,2021/10/17,Michael,a restaurant\ne7120,2021/10/18,Ezekiel,a boba shop\ne7122,2021/10/24,Natalie,a restaurant\ne7124,2021/11/04,Wang-Chiew,a park\ne7129,2021/11/17,Adrian,a coffee Shop\ne7131,2021/11/25,Kinsley,a coffee Shop\ne7135,2021/12/13,Natalie,a boba shop\ne7724,2022/01/28,Anna,a park\ne7728,2022/02/17,Paisley,a restaurant\ne7730,2022/02/22,Sofia,a boba shop\ne7731,2022/02/27,Amelia,a boba shop\ne7732,2022/03/04,Jeremiah,a boba shop\ne7737,2022/03/29,Hudson,a coffee Shop\ne7739,2022/04/11,Parker,a coffee Shop\ne7740,2022/04/15,Grace,a coffee Shop\ne7742,2022/04/20,Brooklyn,a restaurant\ne7748,2022/05/15,Jade,a coffee Shop\ne7749,2022/05/20,Jonathan,a boba shop\ne7751,2022/06/03,Sofia,a park\ne7752,2022/06/09,Aaliyah,a boba shop\ne7755,2022/06/18,Hailey,a restaurant\ne7756,2022/06/24,Landon,a boba shop\ne7757,2022/06/27,Peyton,a restaurant\ne7759,2022/07/09,Alon,a restaurant\ne7760,2022/07/14,Quinn,a restaurant\ne7764,2022/08/03,Scarlett,a boba shop\ne7766,2022/08/06,Gabriel,a boba shop\ne7771,2022/09/01,Camila,a restaurant\ne7776,2022/10/11,Wyatt,a park\ne7777,2022/10/18,Cora,a boba shop\ne7779,2022/10/25,Piper,a restaurant\ne7781,2022/11/09,Kennedy,a park\ne7783,2022/11/17,Everleigh,a coffee Shop\ne7790,2022/12/15,Naomi,a coffee Shop\ne7792,2022/12/23,Elena,a coffee Shop\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/weekly_grocery-log.csv",
    "content": "eid,date,fruits,drinks,toiletries,people_string\ne17,2010/01/01,strawberries,orange juice,\"mouth wash, shaving cream, toothpaste, shampoo\",\ne19,2010/01/22,\"pears, blackberries, pineapples, strawberries\",\"milk, apple juice\",toothbrush,\"Kayden, Andrew, Carter, Emily\"\ne21,2010/02/03,\"watermelons, pineapples, apples\",sports drinks,\"paper towel, mouthwash, shaving cream, facial wash\",\ne26,2010/03/10,\"apples, bananas, blackberries, pears\",\"apple juice, coffee\",\"toothbrush, body lotion, paper towel, shampoo\",\ne28,2010/03/13,\"apricots, blackberries\",tea,\"toothpaste, mouthwash, paper towel\",\ne30,2010/03/31,\"apricots, peaches, raspberries, blackberries\",\"orange juice, mineral water\",paper towel,\ne32,2010/04/22,pineapples,\"milk, chocolate milk, pineapple juice\",\"shaving cream, mouthwash, toothpaste, paper towel\",\"Emily, Andrew\"\ne33,2010/05/12,blackberries,apple juice,body lotion,\"Benjamin, Willow\"\ne34,2010/05/27,\"clementines, apricots\",\"sports drinks, guava juice, soda, apple juice\",mouthwash,\"Emily, Kayden\"\ne36,2010/06/01,bananas,\"mango juice, orange juice\",\"toothpaste, body lotion\",\"Benjamin, Avery, Willow\"\ne37,2010/06/09,\"clementines, pineapples\",\"soda, mango juice\",\"facial wash, mouth wash\",\"Piper, Eva, Olivia, Hazel, Claire, Avery, Lydia, Kinsley\"\ne40,2010/06/17,\"clementines, pineapples\",\"tea, pineapple juice\",\"facial wash, toothbrush, body lotion, paper towel\",\"Kayden, Emily, Carter\"\ne41,2010/06/20,blackberries,\"chocolate milk, orange juice, coffee, mango juice\",\"conditioner, mouth wash\",\"Nevaeh, Hazel, Piper\"\ne42,2010/06/22,\"mandarins, cherres, nectarines, pears\",\"orange juice, mineral water\",mouth wash,\ne46,2010/07/03,\"peaches, oranges, blackberries\",\"mineral water, sports drinks\",\"shaving cream, toothbrush, toothpaste\",\"Jackson, Benjamin, Avery, Willow\"\ne47,2010/07/09,\"guava, watermelons, strawberries\",\"coffee, mineral water\",\"shaving cream, mouthwash, conditioner\",\"Emily, Kayden\"\ne49,2010/07/17,\"apricots, oranges, raspberries, mangos\",\"apple juice, mango juice\",\"mouthwash, toothbrush\",\ne50,2010/07/22,apples,coffee,\"shaving cream, mouthwash\",\ne53,2010/08/11,bananas,\"milk, pineapple juice\",\"paper towel, mouthwash, shampoo\",\ne56,2010/08/16,\"nectarines, mandarins, cherres\",\"tea, mango juice, sports drinks\",\"body lotion, facial wash\",\ne59,2010/09/16,\"mandarins, mangos\",\"milk, mineral water, sports drinks, guava juice\",\"conditioner, paper towel, shaving cream\",Carter\ne63,2010/10/16,\"pears, mandarins, oranges\",\"coffee, apple juice, orange juice\",\"conditioner, shaving cream\",\"Emily, Kayden, Andrew, Carter\"\ne66,2010/11/03,\"nectarines, watermelons, mandarins\",\"orange juice, milk, chocolate milk\",\"toilet paper, toothpaste, conditioner, shampoo\",\ne67,2010/11/10,\"mangos, strawberries, watermelons, blackberries\",\"apple juice, coffee\",conditioner,\ne72,2010/12/08,\"apricots, mandarins\",\"soda, pineapple juice\",\"toothpaste, shampoo, paper towel\",\ne74,2010/12/14,\"cherres, apples, watermelons, apricots\",chocolate milk,\"shampoo, toilet paper\",\"Claire, Eva\"\ne76,2010/12/20,oranges,\"sports drinks, orange juice\",\"mouthwash, facial wash, shampoo, conditioner\",\ne77,2010/12/27,\"raspberries, clementines, peaches\",\"mineral water, soda, sports drinks, orange juice\",\"toilet paper, shampoo\",\"Nora, Rylee, Piper, Piper\"\ne616,2011/01/01,apricots,\"pineapple juice, sports drinks\",\"body lotion, mouth wash, toothpaste, facial wash\",\ne617,2011/01/07,\"apples, raspberries\",\"guava juice, pineapple juice, mineral water\",\"body lotion, conditioner, toothbrush\",Emily\ne618,2011/01/21,\"apricots, guava, blueberries, peaches\",\"pineapple juice, mineral water, sports drinks\",\"facial wash, shampoo\",\"Emily, Carter, Kayden, Andrew\"\ne623,2011/02/23,\"guava, watermelons, mandarins, oranges\",\"chocolate milk, sports drinks\",\"conditioner, paper towel, toilet paper\",\ne625,2011/02/28,\"guava, bananas, blackberries, cherres\",mineral water,toothbrush,\ne627,2011/03/11,\"watermelons, blackberries, peaches, bananas\",\"milk, mineral water, guava juice, apple juice\",body lotion,\"Andrew, Kayden\"\ne628,2011/03/13,\"apples, mandarins, apricots\",\"chocolate milk, mineral water, apple juice\",\"toothbrush, mouthwash, shampoo\",\"Avery, Benjamin, Jackson\"\ne629,2011/03/23,\"strawberries, apples, raspberries, pineapples\",\"coffee, orange juice\",\"toothpaste, shampoo, body lotion\",Kayden\ne631,2011/04/02,\"pineapples, pears, oranges\",\"guava juice, orange juice\",\"shaving cream, paper towel, conditioner, toilet paper\",\"Kayden, Emily, Andrew, Carter\"\ne632,2011/04/05,\"pineapples, mangos\",\"soda, mango juice\",\"shampoo, mouth wash, conditioner, toothpaste\",\"Andrew, Emily, Carter, Kayden\"\ne635,2011/04/09,\"watermelons, mangos, strawberries, bananas\",\"chocolate milk, mineral water, pineapple juice\",\"paper towel, shampoo, toothbrush, mouth wash\",Emily\ne641,2011/05/07,\"bananas, raspberries, strawberries\",\"apple juice, pineapple juice\",\"conditioner, body lotion, shampoo, toothbrush\",\"Emily, Andrew\"\ne644,2011/05/26,\"mangos, raspberries, apricots, pineapples\",\"soda, guava juice\",\"conditioner, body lotion\",\"Carter, Emily, Kayden\"\ne646,2011/06/05,\"peaches, pineapples, raspberries\",\"guava juice, mineral water\",\"toothbrush, mouth wash, toilet paper, shampoo\",\"Andrew, Emily\"\ne647,2011/06/16,\"cherres, mangos, peaches, blackberries\",\"coffee, guava juice, soda, chocolate milk\",\"shampoo, paper towel\",\"Nevaeh, Claire, Eva, Lydia, Kinsley, Olivia, Nora, Piper, Layla, Avery, Hazel\"\ne648,2011/06/24,\"apples, mandarins, peaches\",\"chocolate milk, mineral water\",\"toilet paper, facial wash, toothpaste\",\ne652,2011/07/05,\"apples, blueberries\",\"pineapple juice, orange juice, tea\",\"toothbrush, body lotion, facial wash, paper towel\",\ne654,2011/07/14,\"bananas, peaches, blueberries\",\"sports drinks, soda, guava juice, chocolate milk\",toothbrush,\ne656,2011/08/02,\"guava, cherres\",\"guava juice, soda, coffee\",\"shaving cream, body lotion, shampoo, mouth wash\",\"Carter, Andrew\"\ne658,2011/08/07,\"apricots, blueberries, mangos\",\"apple juice, mineral water\",\"body lotion, toothbrush, shaving cream\",\ne660,2011/08/13,\"blueberries, strawberries, clementines, apples\",\"mineral water, mango juice\",\"shampoo, conditioner, toothpaste, toothbrush\",\"Kayden, Emily\"\ne662,2011/08/26,\"pineapples, watermelons, peaches, apples\",sports drinks,toothpaste,\ne663,2011/09/02,\"raspberries, mangos, guava\",\"soda, chocolate milk\",shampoo,\ne665,2011/09/05,\"apricots, watermelons\",apple juice,mouth wash,\"Claire, Rylee\"\ne667,2011/09/30,guava,\"mineral water, milk, tea\",\"mouth wash, shaving cream, mouthwash, conditioner\",\"Carter, Emily\"\ne669,2011/10/05,\"blackberries, cherres\",\"apple juice, sports drinks\",\"conditioner, toilet paper, body lotion\",\"Kayden, Andrew\"\ne670,2011/10/10,\"strawberries, blackberries\",\"coffee, orange juice\",\"paper towel, mouthwash, shaving cream, body lotion\",\"Emily, Andrew\"\ne672,2011/10/23,\"blueberries, strawberries\",apple juice,\"body lotion, shampoo, shaving cream, paper towel\",\ne673,2011/10/28,\"bananas, apples\",coffee,\"mouth wash, toilet paper\",\ne675,2011/10/31,\"apricots, guava, bananas\",\"apple juice, orange juice\",\"toilet paper, body lotion, mouth wash\",\"Jackson, Willow, Avery, Benjamin\"\ne676,2011/11/01,\"watermelons, pears, mangos\",\"apple juice, mineral water\",\"toothpaste, mouth wash, paper towel, body lotion\",\ne678,2011/11/07,\"blueberries, mangos, pears, clementines\",\"apple juice, chocolate milk, soda, sports drinks\",\"body lotion, mouth wash, toilet paper\",\ne680,2011/11/18,clementines,\"coffee, milk\",shaving cream,\ne681,2011/11/19,\"clementines, pears\",\"apple juice, pineapple juice, tea\",\"mouth wash, paper towel, body lotion, conditioner\",\ne682,2011/12/01,\"bananas, blackberries, raspberries, pineapples\",\"orange juice, milk, coffee\",facial wash,\ne684,2011/12/09,pineapples,\"tea, chocolate milk, mango juice\",shaving cream,Carter\ne686,2011/12/20,\"apples, watermelons, bananas, blackberries\",chocolate milk,\"facial wash, paper towel\",\"Avery, Lydia, Kinsley\"\ne1252,2012/01/13,\"nectarines, clementines, watermelons\",\"tea, chocolate milk\",\"mouthwash, conditioner\",\"Kayden, Andrew, Emily\"\ne1259,2012/02/18,\"mandarins, apples\",\"chocolate milk, coffee\",\"conditioner, body lotion, toothbrush, mouth wash\",\ne1261,2012/02/19,\"oranges, watermelons\",\"orange juice, chocolate milk, coffee, guava juice\",\"toilet paper, mouthwash, facial wash, shaving cream\",Andrew\ne1262,2012/02/27,guava,orange juice,mouth wash,\ne1263,2012/03/01,\"mangos, bananas, watermelons, cherres\",tea,toilet paper,\ne1267,2012/03/24,\"cherres, mangos, pineapples\",\"chocolate milk, apple juice, mango juice, mineral water\",\"facial wash, toothpaste, body lotion, conditioner\",\"Andrew, Carter, Kayden, Emily\"\ne1268,2012/03/31,\"raspberries, mangos, pears, guava\",\"guava juice, apple juice, pineapple juice, soda\",\"mouth wash, body lotion, toothbrush, facial wash\",Emily\ne1269,2012/04/04,\"strawberries, pineapples\",orange juice,\"toilet paper, mouth wash\",\ne1271,2012/04/09,\"pineapples, strawberries, apricots, cherres\",coffee,\"conditioner, facial wash, shampoo\",\"Avery, Willow\"\ne1274,2012/05/05,oranges,\"chocolate milk, soda, sports drinks\",\"mouthwash, mouth wash, toothbrush\",\ne1276,2012/05/07,peaches,\"mineral water, guava juice\",\"conditioner, body lotion\",\"Kinsley, Nora, Lydia, Olivia, Claire\"\ne1279,2012/05/15,\"bananas, nectarines\",mineral water,\"toilet paper, toothpaste, body lotion, mouthwash\",\"Claire, Olivia, Avery, Piper, Eva, Kinsley, Lydia, Nora\"\ne1281,2012/06/01,\"guava, cherres, bananas, apples\",\"tea, coffee, apple juice\",\"conditioner, toothbrush, mouth wash\",\"Emily, Kayden\"\ne1282,2012/06/07,\"watermelons, peaches, cherres, guava\",\"chocolate milk, apple juice, mango juice\",\"paper towel, mouth wash, shampoo\",Emily\ne1283,2012/06/23,\"pineapples, raspberries\",coffee,\"paper towel, shampoo\",\"Eva, Lydia, Piper, Piper, Claire, Nora, Avery, Hazel\"\ne1288,2012/07/07,\"pears, nectarines, oranges\",\"pineapple juice, coffee\",\"shampoo, toilet paper, paper towel, toothbrush\",\"Nevaeh, Claire, Eva, Piper, Avery, Piper, Hazel\"\ne1290,2012/07/12,cherres,\"mineral water, sports drinks, guava juice\",toothpaste,\ne1292,2012/07/21,\"raspberries, apricots\",\"tea, chocolate milk, apple juice\",\"mouthwash, paper towel, toothbrush, conditioner\",\"Willow, Jackson, Benjamin\"\ne1294,2012/07/31,\"apricots, apples, watermelons\",\"mineral water, sports drinks\",\"shaving cream, conditioner\",\"Carter, Kayden, Andrew\"\ne1295,2012/08/03,\"cherres, blackberries, raspberries, guava\",\"pineapple juice, mineral water, tea, soda\",body lotion,Emily\ne1296,2012/08/08,apples,tea,\"toothbrush, shampoo\",Carter\ne1298,2012/08/21,oranges,\"orange juice, soda\",\"conditioner, toothbrush, toilet paper, shampoo\",Carter\ne1299,2012/08/29,watermelons,\"chocolate milk, sports drinks\",\"shampoo, mouthwash, mouth wash\",\"Emily, Carter, Kayden\"\ne1300,2012/09/06,\"apples, peaches, pineapples\",\"guava juice, milk, chocolate milk\",\"facial wash, mouthwash, toothpaste, body lotion\",\"Piper, Kinsley\"\ne1304,2012/10/07,pears,\"apple juice, soda, pineapple juice, sports drinks\",toothbrush,\"Benjamin, Jackson, Willow, Avery\"\ne1307,2012/11/02,\"mandarins, guava, raspberries, pineapples\",\"coffee, pineapple juice, sports drinks\",facial wash,\ne1308,2012/11/18,\"apples, oranges\",\"pineapple juice, mango juice, orange juice, chocolate milk\",\"mouth wash, mouthwash, facial wash\",\ne1309,2012/11/24,strawberries,\"sports drinks, coffee, apple juice, pineapple juice\",\"body lotion, toothbrush, mouth wash, mouthwash\",\ne1311,2012/11/30,\"cherres, pears\",\"coffee, mineral water, mango juice, apple juice\",\"toothbrush, paper towel, facial wash, mouthwash\",\"Carter, Andrew, Kayden\"\ne1315,2012/12/20,\"pineapples, mandarins, clementines\",coffee,paper towel,Carter\ne1316,2012/12/29,\"blackberries, mandarins, pineapples, blueberries\",mineral water,body lotion,\ne1887,2013/01/14,\"raspberries, bananas, apples\",\"soda, guava juice, milk, mango juice\",mouth wash,\"Andrew, Carter, Emily, Kayden\"\ne1889,2013/01/19,nectarines,\"milk, coffee\",\"mouth wash, shampoo\",\"Jackson, Benjamin\"\ne1891,2013/01/30,\"raspberries, blueberries, cherres, oranges\",apple juice,mouth wash,\"Rylee, Lydia, Kinsley, Nevaeh, Piper, Piper, Avery, Olivia, Hazel, Layla, Eva, Nora, Claire\"\ne1892,2013/02/02,\"mandarins, nectarines\",coffee,conditioner,\"Carter, Emily, Kayden\"\ne1893,2013/02/05,\"clementines, pineapples\",\"milk, chocolate milk\",\"mouthwash, shampoo\",\"Hazel, Piper, Avery, Nevaeh\"\ne1895,2013/03/03,\"cherres, peaches\",\"mango juice, apple juice\",toilet paper,\"Emily, Carter, Kayden, Andrew\"\ne1896,2013/03/17,peaches,\"milk, apple juice, tea\",\"facial wash, shaving cream, mouthwash, toothbrush\",Andrew\ne1898,2013/03/21,\"bananas, peaches, guava, strawberries\",\"mango juice, orange juice, soda\",toilet paper,\"Hazel, Rylee, Piper, Nora\"\ne1900,2013/04/02,\"watermelons, pineapples, oranges\",\"apple juice, mineral water, pineapple juice, tea\",toilet paper,\ne1901,2013/04/08,\"blueberries, watermelons, apples\",\"apple juice, chocolate milk, mineral water\",\"toothpaste, conditioner, body lotion\",\"Carter, Andrew, Emily\"\ne1902,2013/04/22,\"strawberries, blackberries, raspberries\",\"guava juice, orange juice, apple juice, mango juice\",conditioner,\ne1904,2013/04/26,\"nectarines, oranges\",\"soda, orange juice, apple juice, chocolate milk\",\"mouth wash, shampoo, facial wash\",Eva\ne1910,2013/05/25,\"raspberries, cherres, apples, oranges\",\"sports drinks, coffee, apple juice\",\"toilet paper, mouthwash\",\ne1913,2013/05/30,\"pears, watermelons\",\"mineral water, soda, pineapple juice, milk\",\"conditioner, shampoo, toilet paper\",\"Kayden, Andrew, Carter, Emily\"\ne1915,2013/06/09,\"blueberries, pears\",chocolate milk,\"facial wash, toilet paper\",\ne1919,2013/07/05,\"bananas, apples, watermelons, mangos\",\"coffee, mango juice, orange juice\",\"body lotion, mouthwash, shampoo, toothpaste\",\ne1925,2013/07/27,bananas,guava juice,\"paper towel, shaving cream\",\"Jackson, Benjamin, Avery\"\ne1927,2013/08/03,\"pears, guava, oranges\",\"mineral water, apple juice\",\"conditioner, shampoo, mouth wash, facial wash\",\ne1929,2013/08/18,\"strawberries, pineapples\",\"soda, guava juice\",\"toilet paper, conditioner, shaving cream, toothpaste\",\"Lydia, Claire, Piper, Nora, Rylee, Avery\"\ne1932,2013/08/24,pineapples,\"coffee, guava juice, soda\",mouthwash,\"Piper, Nevaeh, Claire, Layla, Lydia, Eva, Piper, Rylee\"\ne1933,2013/09/01,\"oranges, mandarins\",\"soda, mineral water, milk\",\"mouth wash, toothpaste, facial wash, body lotion\",\"Andrew, Emily\"\ne1935,2013/09/08,blueberries,\"milk, guava juice, chocolate milk\",toothpaste,\ne1937,2013/10/07,strawberries,mango juice,facial wash,\"Jackson, Avery, Willow\"\ne1940,2013/10/25,\"apricots, watermelons, clementines\",soda,\"mouth wash, mouthwash, body lotion, toothbrush\",\"Piper, Layla, Kinsley, Eva, Nevaeh, Piper, Lydia, Nora, Olivia\"\ne1943,2013/12/07,pears,\"pineapple juice, tea\",\"conditioner, toilet paper, shampoo, body lotion\",\"Carter, Emily, Andrew\"\ne1946,2013/12/13,mangos,orange juice,\"mouthwash, shaving cream\",\ne1949,2013/12/18,\"oranges, guava, clementines, pineapples\",orange juice,\"toothbrush, shaving cream, facial wash, toothpaste\",\"Piper, Avery, Piper, Layla, Kinsley, Olivia, Eva, Lydia, Nevaeh\"\ne1950,2013/12/29,peaches,\"sports drinks, apple juice\",\"paper towel, conditioner, mouthwash, shaving cream\",\"Carter, Emily\"\ne2521,2014/01/28,\"raspberries, mandarins, pineapples, clementines\",\"guava juice, soda\",body lotion,Carter\ne2529,2014/02/22,watermelons,mango juice,shampoo,\ne2531,2014/03/08,\"apricots, mangos, pineapples, bananas\",\"guava juice, chocolate milk, tea, coffee\",\"shampoo, toothpaste\",\ne2534,2014/03/25,pineapples,\"milk, chocolate milk, mineral water\",\"shaving cream, toothbrush\",\"Piper, Rylee, Kinsley, Layla, Olivia, Claire\"\ne2537,2014/04/01,\"strawberries, mangos\",milk,\"conditioner, mouthwash\",Nora\ne2540,2014/04/04,\"pears, oranges\",\"guava juice, chocolate milk\",\"mouthwash, shampoo\",\"Willow, Jackson\"\ne2541,2014/04/07,\"watermelons, apricots, pears, mandarins\",\"soda, chocolate milk\",\"mouthwash, conditioner\",\"Benjamin, Jackson, Willow, Avery\"\ne2542,2014/04/14,\"guava, mandarins, pineapples, apples\",\"sports drinks, pineapple juice\",\"mouthwash, shampoo, facial wash\",\ne2543,2014/04/21,pineapples,\"mineral water, guava juice\",\"shaving cream, toilet paper\",\"Lydia, Kinsley, Layla, Nevaeh\"\ne2549,2014/05/26,\"mandarins, guava\",coffee,\"conditioner, toothbrush, mouth wash, shampoo\",\"Avery, Piper, Claire, Nevaeh, Rylee, Piper\"\ne2552,2014/06/05,\"blackberries, apricots\",\"milk, tea, soda\",\"mouthwash, shampoo, shaving cream, conditioner\",\"Emily, Carter\"\ne2553,2014/06/22,\"peaches, clementines\",chocolate milk,\"toothpaste, mouthwash, mouth wash\",\ne2556,2014/06/26,blackberries,\"mineral water, sports drinks\",\"mouthwash, conditioner, mouth wash, toilet paper\",\ne2557,2014/07/01,\"apricots, cherres, mangos\",apple juice,\"body lotion, conditioner\",\ne2558,2014/07/07,\"apricots, peaches, strawberries, mangos\",\"guava juice, apple juice, coffee\",\"shampoo, toothbrush\",\"Carter, Emily, Kayden\"\ne2562,2014/07/18,\"peaches, oranges, watermelons\",\"apple juice, coffee, chocolate milk\",\"body lotion, facial wash\",\"Benjamin, Avery\"\ne2566,2014/08/10,\"raspberries, mandarins, nectarines, pineapples\",\"tea, milk, sports drinks\",\"body lotion, shaving cream, facial wash\",\"Carter, Andrew, Emily\"\ne2567,2014/08/13,\"strawberries, nectarines\",sports drinks,\"facial wash, conditioner, toothpaste, toilet paper\",\"Benjamin, Willow\"\ne2572,2014/09/06,\"strawberries, guava, clementines, apples\",\"tea, chocolate milk, mango juice, apple juice\",\"shampoo, mouth wash\",\"Nora, Piper, Kinsley\"\ne2574,2014/09/20,\"apples, peaches\",\"soda, chocolate milk\",\"toilet paper, conditioner, shaving cream, shampoo\",\"Emily, Andrew, Kayden\"\ne2575,2014/09/24,\"mangos, mandarins\",\"soda, orange juice, coffee\",\"toilet paper, conditioner, toothbrush, shaving cream\",\ne2579,2014/10/16,watermelons,\"sports drinks, mango juice, apple juice, tea\",\"shaving cream, mouth wash\",\ne2580,2014/10/19,\"guava, watermelons, cherres, pears\",\"milk, soda, coffee\",\"mouth wash, body lotion, conditioner, mouthwash\",\ne2582,2014/11/02,\"blueberries, clementines, pears, mandarins\",orange juice,\"shaving cream, paper towel, facial wash\",\ne2585,2014/12/01,\"mangos, pears\",\"mango juice, milk, sports drinks, orange juice\",\"mouthwash, body lotion, paper towel, toothbrush\",\ne2589,2014/12/26,\"pears, bananas, apples\",\"pineapple juice, chocolate milk\",mouth wash,\"Carter, Emily, Kayden\"\ne2590,2014/12/27,raspberries,\"coffee, sports drinks, mineral water\",\"mouthwash, facial wash, mouth wash\",\ne3168,2015/01/05,\"blueberries, peaches, apples\",\"apple juice, sports drinks\",mouthwash,\ne3171,2015/01/25,\"pineapples, apples\",\"sports drinks, mineral water, soda\",body lotion,\ne3172,2015/01/31,guava,\"soda, coffee, orange juice, milk\",body lotion,\ne3173,2015/02/02,\"apricots, cherres, guava, pears\",\"soda, tea, sports drinks\",\"body lotion, facial wash\",\ne3175,2015/02/05,blackberries,\"sports drinks, pineapple juice\",toothbrush,\"Carter, Kayden, Emily\"\ne3176,2015/02/09,\"strawberries, apricots\",\"apple juice, mineral water\",\"conditioner, mouthwash\",Jackson\ne3177,2015/02/14,\"peaches, raspberries\",\"tea, soda, coffee\",\"facial wash, conditioner, mouth wash\",\ne3178,2015/02/21,\"pears, strawberries, oranges\",\"chocolate milk, tea\",\"toothbrush, body lotion, mouth wash\",\ne3179,2015/02/22,\"mandarins, pears, blueberries\",\"apple juice, soda, chocolate milk, sports drinks\",\"body lotion, toilet paper\",\ne3183,2015/03/23,blackberries,\"milk, soda, tea\",shaving cream,\"Andrew, Emily, Kayden, Carter\"\ne3184,2015/03/29,\"oranges, blackberries, cherres\",\"soda, apple juice, mineral water\",\"mouthwash, paper towel\",\ne3185,2015/04/07,\"strawberries, apples\",soda,\"mouth wash, toothbrush, conditioner, toothpaste\",\"Andrew, Kayden\"\ne3187,2015/05/02,apricots,\"orange juice, sports drinks, soda, apple juice\",\"shampoo, toilet paper, mouthwash, toothbrush\",\ne3194,2015/06/22,\"guava, apricots, strawberries, raspberries\",\"sports drinks, guava juice, coffee, orange juice\",\"mouthwash, toilet paper, toothpaste\",\"Andrew, Carter\"\ne3196,2015/06/25,\"blueberries, bananas, pineapples\",guava juice,\"mouthwash, body lotion, paper towel, shaving cream\",Avery\ne3197,2015/07/05,\"blackberries, guava, pears, cherres\",\"mango juice, tea\",\"toothpaste, shampoo\",\ne3204,2015/08/04,\"apricots, cherres, blueberries\",coffee,\"conditioner, facial wash, mouth wash\",\ne3206,2015/08/17,\"mangos, cherres, bananas\",\"milk, tea, sports drinks\",\"mouth wash, paper towel, toilet paper, conditioner\",\"Eva, Hazel, Claire, Layla, Rylee, Nevaeh, Lydia, Piper, Kinsley, Piper, Avery\"\ne3207,2015/08/26,\"watermelons, cherres, clementines, raspberries\",mango juice,\"toilet paper, mouthwash, shampoo\",\ne3208,2015/08/29,\"peaches, guava, raspberries, clementines\",\"milk, mango juice, soda\",\"mouthwash, mouth wash\",\ne3209,2015/08/31,\"cherres, blackberries, bananas, apples\",\"chocolate milk, sports drinks, tea, coffee\",\"mouth wash, shampoo, facial wash\",\"Andrew, Carter, Emily\"\ne3212,2015/09/23,\"blueberries, mangos, watermelons, oranges\",\"sports drinks, mango juice, tea\",\"toothbrush, conditioner, body lotion\",\"Claire, Eva, Nevaeh, Nora, Layla, Avery\"\ne3216,2015/10/11,\"mandarins, guava\",\"guava juice, pineapple juice, mineral water, milk\",mouthwash,\ne3219,2015/10/22,\"nectarines, guava, pineapples, watermelons\",\"mango juice, tea, milk, chocolate milk\",\"mouthwash, shampoo\",\ne3220,2015/10/27,\"oranges, raspberries, strawberries, pears\",\"soda, guava juice, mango juice\",shaving cream,\ne3226,2015/12/05,\"pears, clementines, oranges, apples\",coffee,\"mouthwash, body lotion, mouth wash, shaving cream\",\"Lydia, Piper, Avery, Layla, Olivia, Piper, Nevaeh, Kinsley\"\ne3227,2015/12/08,\"peaches, apricots, mandarins, oranges\",milk,\"shampoo, conditioner, toilet paper, shaving cream\",\ne3230,2015/12/11,\"apples, pears, mandarins\",\"soda, sports drinks, tea, chocolate milk\",\"toothbrush, mouth wash\",\"Kayden, Andrew, Carter, Emily\"\ne3234,2015/12/27,strawberries,coffee,mouth wash,\"Andrew, Emily, Carter, Kayden\"\ne3828,2016/01/20,peaches,sports drinks,shampoo,\"Carter, Andrew\"\ne3832,2016/01/22,oranges,\"mango juice, pineapple juice\",\"facial wash, mouth wash, toothpaste, body lotion\",\ne3833,2016/01/25,\"guava, oranges\",apple juice,\"paper towel, toothpaste\",\"Piper, Layla, Nevaeh, Olivia\"\ne3836,2016/02/05,\"blueberries, pears, bananas, pineapples\",\"mango juice, guava juice\",\"shaving cream, body lotion\",\ne3837,2016/02/09,\"mangos, pears, raspberries\",mango juice,mouthwash,\"Eva, Kinsley, Piper, Nora, Claire, Hazel, Avery, Lydia, Olivia, Nevaeh, Rylee\"\ne3839,2016/02/12,\"watermelons, clementines, cherres, apricots\",\"milk, chocolate milk, mango juice\",\"shampoo, conditioner, body lotion, facial wash\",\"Piper, Rylee, Olivia, Eva, Avery, Layla, Nevaeh, Hazel, Lydia, Kinsley\"\ne3840,2016/02/16,pineapples,\"chocolate milk, milk, mango juice\",mouthwash,\ne3842,2016/02/24,\"cherres, blueberries, bananas\",\"orange juice, mineral water, soda\",\"toothpaste, shaving cream, toothbrush, body lotion\",\"Nevaeh, Eva, Hazel, Claire, Avery, Layla, Kinsley\"\ne3844,2016/03/01,\"oranges, blackberries, apricots, strawberries\",\"tea, mineral water\",\"conditioner, facial wash\",\"Claire, Hazel, Avery, Lydia\"\ne3846,2016/03/12,\"oranges, raspberries, bananas, apples\",tea,\"toilet paper, mouth wash, facial wash, body lotion\",\ne3853,2016/04/27,guava,pineapple juice,\"conditioner, shampoo\",\"Carter, Kayden\"\ne3856,2016/05/11,apples,\"mineral water, coffee, mango juice, chocolate milk\",\"toothbrush, mouthwash, toilet paper\",Andrew\ne3857,2016/05/13,\"blueberries, guava\",\"pineapple juice, sports drinks\",\"toilet paper, toothpaste\",\ne3858,2016/05/18,\"clementines, nectarines\",\"mineral water, tea\",\"facial wash, mouthwash, toothbrush\",\ne3859,2016/05/21,\"watermelons, cherres\",mineral water,shampoo,\ne3860,2016/05/23,\"oranges, mangos, pears, blueberries\",milk,\"toilet paper, paper towel, body lotion, shaving cream\",Carter\ne3862,2016/05/30,\"blueberries, apricots, nectarines\",\"tea, orange juice\",\"facial wash, shaving cream, body lotion, conditioner\",\"Andrew, Carter, Emily\"\ne3864,2016/06/24,\"mangos, blueberries, oranges, apricots\",\"tea, apple juice\",\"shampoo, shaving cream, toothbrush, facial wash\",\"Andrew, Kayden, Carter\"\ne3865,2016/06/28,\"blackberries, pears, cherres, mangos\",\"pineapple juice, milk, orange juice\",facial wash,\"Kayden, Emily, Carter, Andrew\"\ne3866,2016/07/05,\"oranges, peaches\",\"guava juice, coffee, milk, orange juice\",\"mouthwash, paper towel, toothpaste, toothbrush\",Andrew\ne3868,2016/07/13,\"oranges, apricots, raspberries, blueberries\",\"chocolate milk, guava juice\",\"facial wash, paper towel, conditioner, toothbrush\",\"Carter, Emily\"\ne3870,2016/07/18,\"mangos, strawberries, apricots\",\"apple juice, coffee, orange juice, soda\",\"mouth wash, shampoo\",\"Nora, Nevaeh, Rylee\"\ne3872,2016/08/02,\"raspberries, apricots, strawberries, mangos\",\"milk, pineapple juice\",\"facial wash, mouth wash, mouthwash, toilet paper\",\"Rylee, Eva, Piper, Hazel, Layla, Lydia, Olivia, Claire, Nevaeh, Piper, Kinsley\"\ne3875,2016/08/06,\"blueberries, apricots, watermelons\",sports drinks,\"mouth wash, body lotion, paper towel\",\"Kinsley, Piper, Hazel, Nora, Olivia, Lydia\"\ne3876,2016/08/14,\"nectarines, watermelons, bananas, mandarins\",\"chocolate milk, sports drinks\",\"toilet paper, toothbrush, paper towel\",\ne3880,2016/09/14,\"strawberries, clementines\",\"guava juice, pineapple juice\",\"toothpaste, toilet paper, facial wash, toothbrush\",\"Kayden, Carter, Andrew\"\ne3882,2016/09/22,\"clementines, guava, bananas\",mango juice,conditioner,\ne3885,2016/09/30,\"pineapples, blueberries\",\"tea, soda\",\"toilet paper, facial wash, toothpaste\",\ne3886,2016/10/03,\"clementines, raspberries, apricots, pineapples\",\"soda, tea, coffee, mango juice\",\"body lotion, shaving cream, shampoo\",\ne3887,2016/10/07,\"apples, apricots, mangos, watermelons\",\"milk, soda, tea, coffee\",toothpaste,\ne3888,2016/10/20,\"blueberries, cherres, raspberries\",\"pineapple juice, tea\",paper towel,\ne3891,2016/10/26,\"bananas, blackberries\",\"coffee, mango juice\",toilet paper,\ne3895,2016/11/15,\"blackberries, nectarines\",chocolate milk,body lotion,\"Emily, Kayden, Carter, Andrew\"\ne3896,2016/11/19,\"blackberries, cherres\",\"tea, mineral water, sports drinks\",\"mouth wash, conditioner, toothbrush, shampoo\",\"Hazel, Rylee, Lydia, Eva, Piper, Layla, Avery, Nevaeh, Piper, Kinsley, Olivia, Claire, Nora\"\ne3899,2016/12/05,\"apricots, peaches, raspberries, nectarines\",\"tea, orange juice, coffee, apple juice\",toothbrush,\"Benjamin, Avery, Jackson\"\ne3900,2016/12/14,\"oranges, raspberries\",soda,\"conditioner, toilet paper\",\"Emily, Carter, Kayden\"\ne3903,2016/12/16,\"apples, pears, peaches\",\"mango juice, apple juice, chocolate milk, mineral water\",\"paper towel, shampoo, mouthwash\",\"Nora, Olivia, Piper\"\ne3905,2016/12/23,\"mandarins, clementines, oranges, watermelons\",\"tea, soda, apple juice, orange juice\",mouth wash,\"Jackson, Avery\"\ne3906,2016/12/26,\"strawberries, bananas, guava\",\"sports drinks, coffee, apple juice, guava juice\",\"toothpaste, toilet paper\",\"Avery, Willow, Benjamin, Jackson\"\ne3907,2016/12/30,\"watermelons, pears, pineapples, bananas\",orange juice,\"mouthwash, body lotion, toothbrush\",\"Benjamin, Willow\"\ne4468,2017/01/07,\"oranges, clementines, mangos, guava\",\"chocolate milk, orange juice\",\"shaving cream, toilet paper\",\ne4472,2017/01/13,\"nectarines, oranges, cherres\",\"apple juice, pineapple juice\",conditioner,\ne4476,2017/01/24,\"cherres, clementines\",\"sports drinks, pineapple juice, mineral water, tea\",conditioner,\ne4477,2017/01/28,\"cherres, nectarines\",\"guava juice, soda, pineapple juice\",shampoo,\"Benjamin, Avery, Jackson\"\ne4479,2017/02/11,\"pineapples, apricots, clementines, apples\",\"guava juice, mineral water, orange juice, milk\",\"body lotion, mouthwash, toothpaste, mouth wash\",\"Willow, Jackson, Avery, Benjamin\"\ne4481,2017/02/18,watermelons,mango juice,\"toothbrush, paper towel\",\ne4482,2017/03/11,\"cherres, mangos, clementines, mandarins\",\"chocolate milk, mineral water, pineapple juice\",\"body lotion, shampoo, conditioner, facial wash\",\ne4484,2017/03/31,\"pears, oranges, bananas\",\"mango juice, soda, pineapple juice\",\"shampoo, paper towel\",\ne4486,2017/04/23,watermelons,\"sports drinks, tea, soda\",\"mouthwash, facial wash, toilet paper, body lotion\",Andrew\ne4490,2017/05/18,strawberries,chocolate milk,\"body lotion, paper towel, facial wash\",\ne4495,2017/06/05,\"guava, oranges, pears\",orange juice,\"body lotion, paper towel, shaving cream\",\"Andrew, Kayden, Carter\"\ne4505,2017/08/04,blueberries,tea,mouthwash,\ne4506,2017/08/09,\"apples, pears\",apple juice,\"facial wash, paper towel, mouthwash\",\ne4508,2017/08/14,pineapples,\"guava juice, mango juice, coffee, pineapple juice\",\"toilet paper, paper towel, shaving cream\",\ne4509,2017/08/17,\"cherres, blackberries, mandarins\",\"coffee, pineapple juice, apple juice, milk\",\"toilet paper, mouthwash, toothpaste, body lotion\",\ne4511,2017/08/23,\"watermelons, apples, blackberries\",mineral water,shaving cream,\ne4514,2017/09/05,apricots,\"mango juice, chocolate milk, mineral water\",\"shaving cream, paper towel, conditioner\",Andrew\ne4517,2017/09/14,\"mangos, pineapples, blueberries, clementines\",apple juice,\"facial wash, toothpaste, body lotion\",\ne4518,2017/09/30,bananas,\"pineapple juice, guava juice\",shampoo,\ne4520,2017/10/02,mangos,\"milk, apple juice, guava juice, mineral water\",\"shaving cream, body lotion\",\"Nevaeh, Hazel, Avery, Olivia\"\ne4524,2017/10/15,\"watermelons, nectarines\",\"pineapple juice, apple juice, mineral water\",toilet paper,\"Hazel, Nevaeh, Nora, Kinsley, Piper, Layla, Claire, Eva, Lydia\"\ne4525,2017/10/27,\"pineapples, blueberries, mandarins\",\"soda, pineapple juice\",\"mouthwash, toothpaste, toothbrush\",Benjamin\ne4527,2017/11/08,\"pears, peaches, guava\",apple juice,\"facial wash, body lotion, toilet paper\",\"Olivia, Rylee, Eva, Avery, Layla\"\ne4530,2017/11/12,\"apricots, oranges, apples\",\"mineral water, guava juice, orange juice, milk\",\"mouth wash, facial wash\",\ne4531,2017/11/15,\"clementines, watermelons, blueberries, bananas\",\"orange juice, apple juice\",\"paper towel, mouthwash, toothbrush\",\ne4535,2017/12/23,\"mangos, guava, pineapples\",guava juice,paper towel,\"Benjamin, Avery, Jackson\"\ne4536,2017/12/24,raspberries,\"sports drinks, mango juice\",mouth wash,\ne4537,2017/12/30,\"pears, oranges, apples, guava\",\"sports drinks, guava juice, pineapple juice\",toothbrush,\"Kinsley, Piper\"\ne5114,2018/01/13,\"watermelons, pears, raspberries\",\"guava juice, pineapple juice, chocolate milk\",\"conditioner, toothpaste, body lotion, mouthwash\",\ne5118,2018/01/19,cherres,\"coffee, guava juice, tea, mineral water\",toothpaste,\"Willow, Avery\"\ne5119,2018/02/03,clementines,\"milk, apple juice, soda\",\"body lotion, paper towel, facial wash\",\ne5121,2018/02/07,\"mangos, peaches, apples\",coffee,\"paper towel, conditioner, toothpaste\",\"Kinsley, Lydia, Claire, Layla, Avery, Piper, Rylee, Olivia\"\ne5122,2018/02/15,\"guava, mandarins\",pineapple juice,\"mouth wash, body lotion, shampoo, conditioner\",\ne5125,2018/02/20,\"blueberries, raspberries, nectarines, blackberries\",\"apple juice, mineral water, orange juice, coffee\",\"shampoo, toothbrush\",\ne5127,2018/02/26,\"guava, blueberries\",soda,shampoo,Andrew\ne5129,2018/03/11,\"watermelons, bananas, pineapples\",\"guava juice, orange juice, pineapple juice, milk\",\"mouthwash, conditioner\",\"Lydia, Claire, Kinsley\"\ne5131,2018/03/28,\"apples, blueberries, pineapples\",\"tea, orange juice\",\"toilet paper, paper towel, shaving cream, mouth wash\",\ne5132,2018/03/31,\"guava, clementines, pears\",\"guava juice, tea, sports drinks\",\"toothbrush, facial wash\",\"Willow, Jackson, Avery\"\ne5136,2018/04/13,blackberries,\"milk, mango juice, pineapple juice\",\"paper towel, shaving cream, toothbrush\",\"Avery, Kinsley, Nevaeh, Olivia, Piper, Hazel, Rylee, Lydia\"\ne5138,2018/04/22,\"blueberries, pears\",\"chocolate milk, guava juice\",\"toothbrush, facial wash, mouthwash\",\"Nora, Nevaeh, Avery, Olivia, Kinsley\"\ne5140,2018/04/30,\"oranges, blackberries, mangos, watermelons\",\"milk, guava juice, sports drinks\",\"mouth wash, facial wash, paper towel, toilet paper\",Willow\ne5141,2018/05/10,pears,\"mango juice, milk, pineapple juice\",shampoo,\"Emily, Andrew, Kayden\"\ne5146,2018/05/26,\"apricots, raspberries, cherres, clementines\",coffee,\"shampoo, facial wash\",\"Kayden, Emily, Carter, Andrew\"\ne5147,2018/05/28,clementines,mango juice,\"shaving cream, conditioner, body lotion\",\"Rylee, Avery, Eva\"\ne5149,2018/06/16,\"pineapples, bananas, oranges, clementines\",chocolate milk,\"paper towel, toothpaste\",\ne5155,2018/07/16,\"blueberries, nectarines, pears, mangos\",tea,\"mouth wash, toothbrush, shampoo, toilet paper\",\"Kayden, Emily\"\ne5156,2018/07/20,\"guava, pears\",\"pineapple juice, mango juice, tea\",\"mouthwash, toothpaste\",\"Kayden, Emily\"\ne5160,2018/08/07,clementines,guava juice,mouthwash,\ne5161,2018/08/09,pears,tea,paper towel,\"Emily, Andrew, Kayden, Carter\"\ne5166,2018/08/20,\"blueberries, clementines, blackberries, mangos\",coffee,toothpaste,Layla\ne5167,2018/08/27,clementines,\"milk, mineral water, mango juice, pineapple juice\",\"paper towel, shaving cream\",\ne5170,2018/09/23,\"apricots, strawberries, mandarins, cherres\",coffee,\"mouthwash, toothbrush, toilet paper, shaving cream\",\ne5173,2018/10/16,\"clementines, watermelons\",\"chocolate milk, guava juice, tea\",\"mouth wash, conditioner, body lotion, shampoo\",\ne5174,2018/10/18,\"pineapples, nectarines, guava\",\"apple juice, chocolate milk, soda, guava juice\",\"mouthwash, paper towel, conditioner\",Willow\ne5177,2018/10/28,bananas,guava juice,toilet paper,\"Emily, Carter, Andrew\"\ne5179,2018/11/06,peaches,sports drinks,\"paper towel, toothbrush, shampoo\",\ne5180,2018/11/09,\"pineapples, pears\",sports drinks,\"paper towel, mouth wash, conditioner\",\ne5183,2018/11/12,\"cherres, pears, apricots, strawberries\",\"mineral water, chocolate milk\",\"shampoo, shaving cream\",\ne5184,2018/11/17,\"apricots, clementines\",\"milk, soda\",toilet paper,\ne5185,2018/11/24,\"pineapples, pears\",\"coffee, chocolate milk, tea\",\"toilet paper, toothpaste\",\ne5187,2018/11/26,\"raspberries, clementines\",\"chocolate milk, mango juice, orange juice, pineapple juice\",\"mouth wash, mouthwash, body lotion, shampoo\",\ne5188,2018/12/02,\"mangos, bananas, watermelons\",\"mango juice, soda\",\"facial wash, body lotion, toilet paper, mouth wash\",\"Lydia, Layla, Rylee, Nora, Piper, Kinsley\"\ne5192,2018/12/11,\"watermelons, apricots, strawberries\",\"orange juice, milk, sports drinks\",\"mouth wash, conditioner, mouthwash\",\ne5193,2018/12/13,clementines,\"soda, sports drinks\",\"shaving cream, toothpaste\",\ne5195,2018/12/25,\"blackberries, clementines, pineapples, mandarins\",soda,mouth wash,\"Kayden, Emily, Andrew, Carter\"\ne5744,2019/01/03,\"clementines, peaches, mandarins\",\"chocolate milk, mineral water, orange juice, soda\",toothpaste,\"Willow, Jackson, Avery\"\ne5745,2019/01/14,nectarines,\"sports drinks, guava juice\",\"facial wash, body lotion, conditioner\",\ne5747,2019/01/21,\"clementines, watermelons, bananas\",\"guava juice, orange juice, pineapple juice, mango juice\",\"facial wash, toothbrush\",Kayden\ne5751,2019/02/08,blackberries,coffee,\"mouthwash, toilet paper\",\"Kayden, Andrew, Carter\"\ne5753,2019/02/15,\"mandarins, pears, guava, raspberries\",tea,\"paper towel, shampoo, toothpaste, mouth wash\",\ne5756,2019/02/19,strawberries,\"soda, apple juice\",\"facial wash, shaving cream, shampoo, toilet paper\",\"Avery, Jackson, Benjamin, Willow\"\ne5757,2019/02/23,\"raspberries, pineapples\",guava juice,mouth wash,Kayden\ne5758,2019/03/08,\"bananas, guava\",\"tea, sports drinks, guava juice\",\"toilet paper, mouthwash, paper towel, body lotion\",\"Piper, Nora\"\ne5760,2019/03/13,\"peaches, apricots\",\"pineapple juice, orange juice, coffee, mineral water\",toilet paper,\ne5762,2019/03/29,bananas,\"mineral water, mango juice, pineapple juice\",mouth wash,\ne5764,2019/04/19,\"bananas, cherres, mangos, pears\",\"chocolate milk, apple juice, guava juice\",\"mouth wash, facial wash\",Kayden\ne5766,2019/05/05,\"pears, apricots, nectarines, raspberries\",mango juice,\"toilet paper, shampoo, conditioner, facial wash\",\ne5769,2019/05/10,nectarines,\"mango juice, apple juice, tea\",\"toothpaste, body lotion\",\"Lydia, Piper, Olivia\"\ne5772,2019/05/30,\"apples, guava\",\"tea, coffee, pineapple juice\",\"toothpaste, paper towel, shampoo\",\ne5773,2019/06/01,\"peaches, apples, watermelons\",\"mineral water, orange juice, mango juice\",\"shampoo, mouthwash\",\ne5779,2019/07/08,\"mangos, pineapples, oranges, watermelons\",guava juice,\"mouthwash, shampoo, mouth wash\",\"Emily, Carter, Kayden, Andrew\"\ne5782,2019/07/18,\"peaches, blackberries\",\"orange juice, guava juice, pineapple juice, milk\",\"paper towel, facial wash, mouthwash\",Jackson\ne5783,2019/07/20,\"blackberries, oranges, strawberries, apples\",mineral water,\"shampoo, facial wash, mouth wash, shaving cream\",\ne5786,2019/08/12,\"bananas, pineapples, blueberries\",\"mango juice, tea, soda\",\"shaving cream, mouthwash\",\"Willow, Benjamin\"\ne5787,2019/08/19,\"watermelons, pineapples, nectarines, clementines\",\"mango juice, sports drinks\",\"mouth wash, shaving cream, toilet paper\",\"Emily, Andrew, Carter\"\ne5788,2019/08/22,\"apples, pears, clementines\",\"guava juice, milk, mango juice\",\"body lotion, facial wash\",\ne5791,2019/09/07,\"cherres, strawberries, mandarins\",coffee,\"mouthwash, toothbrush\",\ne5794,2019/09/16,\"mandarins, oranges, apricots\",mango juice,\"toilet paper, conditioner\",\ne5797,2019/09/26,\"watermelons, mandarins\",\"tea, mineral water, apple juice, chocolate milk\",\"conditioner, mouthwash, toilet paper, toothbrush\",\"Carter, Emily, Andrew, Kayden\"\ne5798,2019/09/27,\"pears, apples, strawberries\",\"coffee, milk, guava juice, chocolate milk\",\"facial wash, mouthwash\",\"Emily, Carter\"\ne5801,2019/10/05,\"blackberries, peaches\",\"coffee, orange juice\",\"mouth wash, toilet paper, body lotion, shaving cream\",Carter\ne5802,2019/10/14,\"nectarines, peaches, clementines\",\"chocolate milk, sports drinks, soda, tea\",\"body lotion, mouth wash, facial wash, shampoo\",\ne5806,2019/11/03,\"apples, mandarins\",\"apple juice, soda, orange juice, tea\",\"facial wash, toothpaste, mouthwash, mouth wash\",\ne5813,2019/11/15,\"apples, clementines, mandarins\",\"apple juice, orange juice\",facial wash,Carter\ne5814,2019/11/23,\"mangos, apricots\",\"apple juice, mineral water, soda, mango juice\",\"toothpaste, shampoo, body lotion\",\ne5817,2019/12/18,\"peaches, watermelons, clementines, guava\",\"chocolate milk, apple juice, milk, orange juice\",shampoo,\ne5819,2019/12/24,bananas,\"mineral water, sports drinks, pineapple juice\",paper towel,\ne6425,2020/01/12,\"strawberries, blackberries, peaches\",milk,\"shampoo, paper towel\",\"Andrew, Carter, Kayden, Emily\"\ne6427,2020/01/24,pineapples,\"milk, soda, orange juice\",shaving cream,\"Jackson, Benjamin, Avery, Willow\"\ne6429,2020/02/04,\"guava, watermelons\",orange juice,body lotion,\"Nora, Piper, Claire, Hazel\"\ne6431,2020/02/08,\"nectarines, blackberries, guava, peaches\",\"soda, orange juice, pineapple juice, milk\",\"toothbrush, shampoo, conditioner, paper towel\",\"Kinsley, Nevaeh, Lydia, Piper, Nora, Olivia, Rylee, Claire, Piper, Layla, Avery, Hazel, Eva\"\ne6434,2020/02/25,\"watermelons, pears, blackberries\",\"orange juice, tea, mango juice\",\"shampoo, toilet paper\",\ne6438,2020/03/22,\"oranges, peaches, blackberries\",apple juice,\"toilet paper, shaving cream, conditioner, facial wash\",\ne6440,2020/03/31,\"nectarines, guava\",chocolate milk,\"mouth wash, body lotion\",\"Piper, Piper, Eva, Rylee, Hazel, Lydia, Claire, Nevaeh, Avery, Kinsley\"\ne6443,2020/04/08,blackberries,\"pineapple juice, chocolate milk, apple juice\",paper towel,\ne6446,2020/04/20,\"mangos, pineapples\",\"sports drinks, pineapple juice, mineral water, tea\",\"shampoo, toothbrush, paper towel, mouth wash\",\"Piper, Nevaeh, Hazel, Avery, Lydia, Kinsley, Eva, Olivia\"\ne6447,2020/04/23,\"guava, cherres, raspberries, mangos\",\"guava juice, milk, chocolate milk\",\"mouthwash, facial wash, toothbrush\",\"Jackson, Willow, Benjamin, Avery\"\ne6455,2020/06/13,\"apricots, cherres, pears\",pineapple juice,toothpaste,\ne6462,2020/08/09,blackberries,\"coffee, soda\",\"toothpaste, body lotion, conditioner\",Kayden\ne6464,2020/08/17,\"cherres, nectarines, mangos, peaches\",\"mango juice, apple juice, pineapple juice\",\"toothpaste, paper towel, facial wash, body lotion\",\ne6469,2020/09/04,\"blueberries, apricots, bananas, pineapples\",\"guava juice, chocolate milk\",toilet paper,\"Nora, Layla, Olivia, Kinsley, Hazel, Rylee, Avery, Lydia, Nevaeh, Piper, Claire, Eva, Piper\"\ne6471,2020/09/09,\"pears, oranges, apples\",\"soda, chocolate milk, apple juice, pineapple juice\",\"shaving cream, facial wash\",\ne6472,2020/09/12,\"apricots, guava, blackberries\",\"chocolate milk, orange juice, apple juice\",\"shaving cream, facial wash, paper towel, shampoo\",\"Lydia, Olivia, Nevaeh, Eva, Layla, Avery, Piper, Rylee, Nora, Claire\"\ne6474,2020/09/22,\"strawberries, peaches, apples\",\"mineral water, coffee, apple juice\",\"body lotion, shampoo, mouth wash, toothbrush\",\"Andrew, Emily, Kayden, Carter\"\ne6476,2020/09/29,peaches,chocolate milk,\"paper towel, facial wash, toilet paper, body lotion\",\ne6479,2020/10/03,\"raspberries, peaches, blueberries\",\"apple juice, mineral water, guava juice, soda\",\"mouthwash, body lotion, facial wash, shaving cream\",\ne6481,2020/10/09,\"peaches, guava, raspberries, strawberries\",\"chocolate milk, mineral water, orange juice, milk\",\"toothpaste, body lotion, conditioner, paper towel\",\ne6482,2020/10/11,blueberries,\"mineral water, sports drinks, orange juice\",\"mouth wash, facial wash\",\ne6488,2020/11/10,\"pineapples, guava, bananas\",\"milk, coffee, tea\",facial wash,\ne6491,2020/11/13,\"pears, bananas, strawberries, nectarines\",\"guava juice, pineapple juice\",\"mouth wash, mouthwash, toilet paper, conditioner\",\ne6492,2020/11/14,\"mangos, blueberries, mandarins\",\"pineapple juice, soda, guava juice, mango juice\",\"conditioner, toothbrush, toilet paper\",\"Andrew, Emily\"\ne6494,2020/11/22,\"blueberries, pineapples, watermelons, guava\",soda,\"toothpaste, mouth wash, mouthwash, facial wash\",\ne6496,2020/12/22,\"cherres, guava, bananas\",\"apple juice, mineral water\",\"toothpaste, paper towel, toilet paper, toothbrush\",\"Avery, Willow, Benjamin, Jackson\"\ne6497,2020/12/28,\"apricots, mangos, pears, clementines\",\"milk, soda, sports drinks\",\"shaving cream, conditioner\",\"Eva, Claire, Rylee, Nora, Olivia, Piper, Lydia, Nevaeh\"\ne7069,2021/01/09,pears,\"sports drinks, mango juice\",\"shampoo, toothbrush\",\ne7070,2021/01/14,\"pineapples, watermelons, mangos, peaches\",\"guava juice, apple juice, tea, pineapple juice\",\"toothbrush, toothpaste, mouth wash, body lotion\",\ne7073,2021/01/28,\"strawberries, guava, oranges, clementines\",pineapple juice,\"shampoo, mouthwash\",Kayden\ne7076,2021/02/08,\"oranges, peaches, mandarins\",\"pineapple juice, coffee\",\"body lotion, paper towel, shampoo\",\"Avery, Benjamin, Jackson\"\ne7080,2021/03/02,\"peaches, mangos, strawberries, oranges\",mango juice,paper towel,\"Eva, Kinsley, Rylee, Layla, Nora, Avery, Lydia, Olivia\"\ne7082,2021/03/06,\"peaches, mangos, oranges, blueberries\",\"guava juice, chocolate milk\",conditioner,\"Jackson, Willow, Benjamin, Avery\"\ne7083,2021/03/15,\"pineapples, mangos, apples\",\"apple juice, orange juice, chocolate milk, pineapple juice\",\"mouthwash, shaving cream, conditioner, paper towel\",\ne7085,2021/03/25,cherres,\"tea, mineral water, sports drinks\",\"paper towel, shaving cream, body lotion\",\"Eva, Nora, Piper, Claire, Olivia, Nevaeh, Piper, Avery, Hazel, Lydia, Rylee\"\ne7087,2021/04/04,apricots,chocolate milk,\"facial wash, shaving cream, toilet paper\",\ne7088,2021/04/07,\"mandarins, pears\",\"pineapple juice, milk, apple juice, chocolate milk\",\"conditioner, shaving cream, toothpaste, toilet paper\",\ne7089,2021/04/09,\"blueberries, mandarins, pineapples, strawberries\",\"soda, orange juice, milk, coffee\",\"toothpaste, toothbrush, paper towel\",\"Andrew, Emily, Kayden\"\ne7090,2021/04/19,\"pineapples, oranges, strawberries\",guava juice,\"toothpaste, paper towel, shampoo\",\ne7091,2021/05/06,\"bananas, blueberries\",coffee,mouth wash,\"Carter, Kayden, Andrew\"\ne7092,2021/05/10,\"mandarins, blueberries, peaches, blackberries\",\"sports drinks, chocolate milk, orange juice\",\"toothbrush, paper towel, shaving cream\",\ne7100,2021/07/01,\"clementines, guava, raspberries, nectarines\",\"orange juice, coffee, soda\",\"conditioner, shampoo, shaving cream\",Jackson\ne7101,2021/07/12,\"raspberries, blueberries\",\"mineral water, apple juice, tea, chocolate milk\",\"mouth wash, toothpaste\",\ne7104,2021/08/04,\"blackberries, peaches, mandarins\",\"mango juice, pineapple juice\",\"mouth wash, toothpaste\",\ne7106,2021/08/07,\"raspberries, pineapples\",\"mineral water, milk\",toothpaste,\"Emily, Carter, Andrew\"\ne7109,2021/09/02,mandarins,\"tea, coffee, orange juice, guava juice\",\"mouthwash, toothpaste, conditioner\",\ne7111,2021/09/06,raspberries,\"pineapple juice, tea\",\"mouth wash, shaving cream, shampoo, toothpaste\",\ne7115,2021/09/19,\"pears, blackberries, mangos\",sports drinks,\"mouthwash, shampoo\",\"Kayden, Carter, Emily\"\ne7116,2021/09/22,\"blackberries, bananas, strawberries\",\"orange juice, coffee, soda, sports drinks\",\"shaving cream, facial wash, toilet paper, toothpaste\",\"Rylee, Piper, Lydia, Nora, Claire\"\ne7121,2021/10/15,raspberries,orange juice,\"toothpaste, toothbrush, shampoo, body lotion\",\ne7123,2021/10/25,\"mandarins, blackberries\",\"pineapple juice, apple juice, chocolate milk, soda\",shaving cream,\ne7125,2021/10/30,\"clementines, peaches, nectarines\",\"mango juice, chocolate milk\",\"shampoo, toothpaste, mouth wash, conditioner\",\"Kayden, Carter, Emily\"\ne7126,2021/11/02,\"pineapples, bananas\",\"milk, mango juice, orange juice, apple juice\",facial wash,\ne7127,2021/11/09,\"mandarins, raspberries, mangos, clementines\",\"sports drinks, milk, soda\",\"conditioner, mouth wash, toothbrush, toothpaste\",\ne7130,2021/11/13,\"raspberries, apples, watermelons, peaches\",\"apple juice, chocolate milk, tea, orange juice\",\"toothbrush, shampoo, mouthwash, conditioner\",\ne7132,2021/11/23,\"apples, peaches, bananas, mangos\",\"apple juice, orange juice, sports drinks\",\"toothpaste, body lotion, mouth wash, shampoo\",\ne7133,2021/12/06,apples,\"chocolate milk, guava juice, pineapple juice\",\"facial wash, mouthwash, conditioner\",\ne7137,2021/12/15,\"apricots, nectarines\",\"mineral water, chocolate milk, apple juice, soda\",\"mouth wash, shampoo, toilet paper, body lotion\",Andrew\ne7138,2021/12/19,\"watermelons, pineapples, blackberries, mandarins\",\"mango juice, coffee, guava juice\",\"conditioner, paper towel, toothbrush\",\"Carter, Emily, Kayden, Andrew\"\ne7139,2021/12/24,\"mangos, apples, peaches\",\"apple juice, pineapple juice\",\"toilet paper, body lotion, mouth wash\",\ne7140,2021/12/27,pineapples,\"apple juice, coffee\",mouth wash,\ne7722,2022/01/15,apricots,\"mango juice, milk\",\"shaving cream, mouth wash\",\"Emily, Carter, Andrew, Kayden\"\ne7723,2022/01/20,blueberries,\"guava juice, coffee\",\"paper towel, conditioner\",\"Carter, Andrew, Kayden, Emily\"\ne7725,2022/01/23,blackberries,mineral water,\"body lotion, shaving cream, toilet paper\",\ne7726,2022/01/25,\"peaches, apricots, raspberries, watermelons\",\"soda, orange juice, pineapple juice, mineral water\",\"toothbrush, shampoo, mouthwash, mouth wash\",\"Willow, Jackson\"\ne7729,2022/02/18,\"watermelons, strawberries\",\"milk, sports drinks\",\"toothbrush, body lotion, mouthwash, conditioner\",\ne7734,2022/03/05,\"blackberries, oranges, pears\",\"pineapple juice, milk, coffee, mineral water\",shaving cream,\ne7736,2022/03/25,blueberries,\"milk, guava juice, mango juice\",\"mouth wash, toothbrush, mouthwash\",\ne7738,2022/03/31,\"pears, apricots\",\"mineral water, milk\",\"body lotion, paper towel, shampoo, toothbrush\",\"Claire, Nora, Olivia, Hazel, Lydia, Avery, Eva, Layla, Rylee, Piper, Kinsley, Piper\"\ne7741,2022/04/13,\"oranges, watermelons\",milk,mouth wash,\ne7744,2022/04/21,\"bananas, blueberries, peaches\",\"chocolate milk, apple juice, guava juice\",\"toothbrush, paper towel, body lotion\",\"Piper, Kinsley, Avery, Nora, Rylee, Claire, Hazel, Eva, Piper, Layla, Nevaeh\"\ne7745,2022/04/29,\"nectarines, pineapples, raspberries\",milk,\"conditioner, body lotion, toothbrush, facial wash\",\ne7747,2022/05/13,mangos,pineapple juice,\"paper towel, conditioner, toilet paper\",\ne7750,2022/05/22,bananas,\"sports drinks, milk\",toothpaste,\ne7758,2022/07/01,\"strawberries, apples, blueberries, pineapples\",\"sports drinks, pineapple juice\",\"toothpaste, toothbrush\",\"Jackson, Benjamin, Avery\"\ne7761,2022/07/11,oranges,\"sports drinks, apple juice, mango juice\",\"toilet paper, facial wash, toothpaste\",\"Emily, Carter, Andrew\"\ne7762,2022/07/18,\"watermelons, raspberries\",\"chocolate milk, pineapple juice, tea\",\"toothpaste, paper towel, shampoo\",\ne7763,2022/07/25,\"nectarines, blueberries, apricots, pineapples\",\"coffee, mango juice, tea, pineapple juice\",toothbrush,\ne7765,2022/08/05,\"mandarins, apples\",\"pineapple juice, apple juice\",toothpaste,\"Carter, Emily\"\ne7767,2022/08/12,\"apples, guava, raspberries, pears\",orange juice,\"body lotion, toilet paper\",\"Andrew, Emily\"\ne7768,2022/08/13,\"blueberries, blackberries, oranges\",\"sports drinks, coffee\",\"shampoo, shaving cream\",\ne7770,2022/08/25,\"guava, apples\",\"mango juice, pineapple juice, guava juice, milk\",\"facial wash, toilet paper, conditioner, toothbrush\",\"Jackson, Benjamin\"\ne7773,2022/08/30,nectarines,\"tea, pineapple juice, soda\",\"toothpaste, toothbrush\",\"Carter, Kayden, Andrew, Emily\"\ne7774,2022/09/25,oranges,\"apple juice, mango juice, orange juice\",\"toothbrush, shaving cream, mouth wash, paper towel\",\ne7775,2022/10/03,\"clementines, pineapples, blueberries\",\"guava juice, mineral water, chocolate milk\",facial wash,\"Emily, Kayden, Andrew, Carter\"\ne7778,2022/10/16,\"blackberries, bananas, cherres, clementines\",\"soda, apple juice, sports drinks, coffee\",\"toilet paper, mouthwash\",\ne7780,2022/10/29,\"mandarins, blueberries, strawberries\",\"tea, milk\",\"toilet paper, toothbrush, conditioner, paper towel\",Carter\ne7782,2022/11/07,oranges,\"mango juice, apple juice, milk\",\"mouthwash, mouth wash\",\ne7784,2022/11/17,\"clementines, strawberries\",\"chocolate milk, coffee\",toilet paper,\"Emily, Kayden, Andrew\"\ne7785,2022/11/20,\"bananas, pears\",\"mineral water, apple juice\",mouth wash,\"Claire, Piper, Piper, Olivia, Avery\"\ne7787,2022/11/30,peaches,\"sports drinks, guava juice\",\"toothpaste, body lotion\",\"Kayden, Emily, Carter, Andrew\"\ne7789,2022/12/09,\"clementines, watermelons\",\"coffee, milk, mango juice\",\"paper towel, conditioner, body lotion, toilet paper\",\ne7791,2022/12/13,bananas,\"soda, orange juice, apple juice\",\"toothbrush, facial wash, mouthwash\",\"Kayden, Emily, Carter\"\ne7795,2022/12/30,\"guava, oranges, clementines\",\"coffee, guava juice, mineral water, soda\",\"facial wash, toothbrush\",\n"
  },
  {
    "path": "src/qa/posttext/data/TimelineQA/sparse-100/weekly_hobby-log.csv",
    "content": "eid,date,hobbies,people_string\ne31,2010/04/03,learning a language,\ne35,2010/05/31,working out,\"Avery, Willow\"\ne39,2010/06/15,working out,\ne48,2010/07/22,meditation,\ne51,2010/08/01,gardening,\ne52,2010/08/03,gardening,\ne60,2010/09/17,meditation,\ne61,2010/09/29,gardening,\ne62,2010/10/15,learning a language,\ne69,2010/11/29,meditation,\ne71,2010/12/03,gardening,\"Kayden, Carter\"\ne614,2011/01/02,working out,\ne615,2011/01/07,meditation,\ne621,2011/02/20,meditation,Emily\ne622,2011/02/25,yoga,\ne624,2011/03/01,yoga,\"Claire, Hazel\"\ne634,2011/04/11,working out,\ne636,2011/04/17,working out,\"Kinsley, Claire, Nevaeh\"\ne637,2011/04/21,working out,\ne638,2011/04/25,yoga,\"Avery, Willow\"\ne639,2011/05/06,gardening,\ne651,2011/07/06,gardening,Willow\ne653,2011/07/10,gardening,\ne655,2011/07/29,learning a language,\ne668,2011/10/07,yoga,\ne674,2011/11/02,working out,Kayden\ne677,2011/11/08,meditation,\ne1255,2012/01/23,learning a language,\ne1258,2012/02/14,meditation,\"Kayden, Carter, Andrew\"\ne1272,2012/04/17,working out,\"Carter, Andrew, Kayden\"\ne1285,2012/06/27,learning a language,\"Kayden, Emily, Carter\"\ne1287,2012/07/05,meditation,\ne1289,2012/07/12,working out,\"Carter, Andrew, Emily\"\ne1293,2012/08/04,gardening,\ne1297,2012/08/25,working out,\ne1301,2012/09/27,learning a language,\ne1302,2012/10/03,gardening,\ne1306,2012/11/02,meditation,\ne1312,2012/12/07,learning a language,\ne1313,2012/12/11,learning a language,\ne1903,2013/04/26,working out,\ne1906,2013/04/30,gardening,\ne1909,2013/05/10,gardening,\"Eva, Avery, Nora\"\ne1912,2013/06/01,learning a language,Carter\ne1917,2013/06/28,gardening,\"Jackson, Willow, Benjamin\"\ne1921,2013/07/10,meditation,\ne1922,2013/07/12,yoga,\ne1926,2013/08/03,yoga,\ne1931,2013/08/22,meditation,\ne1936,2013/10/04,gardening,\ne1939,2013/10/28,yoga,\ne1945,2013/12/15,learning a language,\"Piper, Layla\"\ne1948,2013/12/20,gardening,\ne2519,2014/01/03,yoga,\ne2526,2014/02/15,gardening,\ne2530,2014/03/01,meditation,\ne2532,2014/03/17,meditation,\ne2536,2014/03/31,learning a language,\"Piper, Olivia, Nevaeh\"\ne2545,2014/04/28,working out,\ne2548,2014/05/19,working out,\ne2551,2014/06/07,gardening,\ne2555,2014/06/28,learning a language,\ne2564,2014/08/01,gardening,\"Rylee, Piper\"\ne2571,2014/08/27,yoga,Carter\ne2573,2014/09/12,working out,\ne2577,2014/10/12,learning a language,\ne2578,2014/10/18,meditation,\"Andrew, Kayden\"\ne3170,2015/01/21,gardening,\ne3180,2015/02/27,meditation,\ne3182,2015/03/16,gardening,\"Nevaeh, Rylee, Kinsley\"\ne3190,2015/05/23,meditation,\ne3191,2015/05/24,working out,\ne3192,2015/06/03,learning a language,\ne3193,2015/06/16,gardening,\ne3195,2015/07/01,meditation,\ne3199,2015/07/17,yoga,\"Eva, Nevaeh, Rylee\"\ne3200,2015/07/21,learning a language,\ne3203,2015/07/30,gardening,\ne3211,2015/09/21,yoga,\"Carter, Andrew, Emily\"\ne3214,2015/09/29,gardening,\"Emily, Kayden\"\ne3215,2015/10/01,working out,\ne3233,2015/12/27,meditation,\"Nevaeh, Piper, Eva\"\ne3827,2016/01/13,yoga,\"Kayden, Carter, Emily\"\ne3831,2016/01/25,working out,\ne3838,2016/02/14,gardening,\ne3849,2016/04/06,gardening,\"Carter, Emily\"\ne3850,2016/04/09,meditation,Hazel\ne3852,2016/04/25,meditation,\ne3867,2016/07/09,yoga,\ne3874,2016/08/07,learning a language,Andrew\ne3879,2016/09/14,learning a language,\ne3890,2016/10/21,learning a language,\"Lydia, Rylee\"\ne3894,2016/11/16,learning a language,\ne3902,2016/12/20,gardening,\ne4471,2017/01/14,meditation,Jackson\ne4473,2017/01/19,working out,\ne4475,2017/01/26,meditation,\ne4488,2017/05/04,yoga,\"Emily, Carter, Andrew\"\ne4489,2017/05/19,gardening,\ne4496,2017/06/17,yoga,Jackson\ne4501,2017/07/06,gardening,\ne4507,2017/08/16,working out,Eva\ne4516,2017/09/11,learning a language,\ne4523,2017/10/21,working out,\ne4529,2017/11/16,gardening,\"Piper, Kinsley, Lydia\"\ne4532,2017/11/27,gardening,\ne5116,2018/01/17,meditation,\ne5117,2018/01/20,gardening,\ne5124,2018/02/24,working out,\ne5126,2018/02/27,learning a language,\ne5130,2018/03/30,learning a language,Avery\ne5144,2018/05/22,gardening,\ne5145,2018/05/26,meditation,\ne5150,2018/06/19,yoga,Benjamin\ne5152,2018/06/28,meditation,\ne5158,2018/07/29,learning a language,\"Willow, Avery\"\ne5159,2018/08/06,gardening,\ne5163,2018/08/17,working out,\"Kayden, Andrew\"\ne5165,2018/08/21,yoga,\ne5172,2018/10/18,gardening,\ne5176,2018/10/23,working out,Carter\ne5178,2018/11/04,gardening,\ne5182,2018/11/16,yoga,\ne5190,2018/12/12,meditation,\ne5191,2018/12/16,working out,\ne5743,2019/01/04,learning a language,\ne5750,2019/02/07,yoga,\ne5755,2019/02/25,learning a language,\ne5770,2019/05/20,meditation,\"Kayden, Emily, Carter\"\ne5778,2019/06/26,working out,\ne5789,2019/08/30,working out,\ne5793,2019/09/15,gardening,\ne5795,2019/09/18,working out,\"Carter, Kayden\"\ne5796,2019/09/22,working out,\ne5804,2019/10/21,meditation,\ne5805,2019/10/29,meditation,\ne5808,2019/11/09,working out,\"Claire, Kinsley\"\ne5812,2019/11/17,working out,\ne5816,2019/12/16,working out,\"Kayden, Carter, Andrew\"\ne6430,2020/02/08,yoga,\ne6432,2020/02/18,learning a language,\"Carter, Andrew\"\ne6437,2020/03/21,meditation,\ne6439,2020/03/28,yoga,\ne6442,2020/04/10,working out,\ne6445,2020/04/18,working out,\ne6451,2020/05/16,gardening,\ne6454,2020/06/16,meditation,\ne6457,2020/07/07,working out,Carter\ne6459,2020/07/28,meditation,\ne6461,2020/08/10,yoga,Carter\ne6467,2020/08/24,yoga,\"Kinsley, Hazel\"\ne6470,2020/09/15,yoga,\ne6475,2020/09/28,meditation,Nora\ne6478,2020/10/04,learning a language,\ne6480,2020/10/07,yoga,Andrew\ne6484,2020/10/25,learning a language,\"Carter, Emily\"\ne6487,2020/11/08,yoga,\ne6490,2020/11/14,working out,\"Andrew, Emily\"\ne6498,2020/12/31,yoga,\"Piper, Hazel, Piper\"\ne7074,2021/01/30,working out,Jackson\ne7078,2021/02/24,gardening,\ne7081,2021/03/05,working out,\ne7099,2021/06/30,learning a language,\ne7107,2021/08/24,yoga,\"Carter, Andrew, Kayden\"\ne7110,2021/09/04,meditation,\ne7118,2021/10/13,learning a language,\"Benjamin, Avery\"\ne7136,2021/12/14,meditation,\ne7727,2022/01/31,learning a language,\ne7733,2022/03/09,gardening,Kinsley\ne7735,2022/03/24,yoga,Emily\ne7743,2022/04/19,learning a language,\ne7753,2022/06/07,yoga,\ne7772,2022/09/02,learning a language,Lydia\ne7793,2022/12/18,yoga,\"Andrew, Carter, Kayden\"\ne7794,2022/12/30,learning a language,\n"
  },
  {
    "path": "src/qa/posttext/newqueryfile.csv",
    "content": "q1,\"What is the average number of times I took my kids for their vision checkup each year? \",\"annual_medical_care_log\"\nq2,\"How many times did I take my kids to an optician in 2017?\",\"annual_medical_care_log\"\nq3,\"How many times did I take my kids to the dentist in 2021?\",\"annual_medical_care_log\"\nq4,\"Who did I talk to the most in February 2010?\",\"daily_chat_log\"\nq5,\"How long do I spend on average each day talking to my friends?\",\"daily_chat_log\"\nq6,\"How many times did I talk to Olivia in March 2010?\",\"daily_chat_log\"\nq7,\"What exercise did I do the most in April 2010?\",\"daily_exercise_log\"\nq8,\"How many times did I swim in July 2010?\",\"daily_exercise_log\"\nq9,\"Which month of which year did I swim the most?\",\"daily_exercise_log\"\nq10,\"List all the breakfast dishes that Andrew had in March of 2010.\",\"daily_meal_log\"\nq11,\"How many times did I have pancakes for breakfast in July 2016?\",\"daily_meal_log\"\nq12,\"How much time on average do I spend on reading news each day?\",\"daily_read_log\"\nq13,\"How many books did I read in 2010?\",\"daily_read_log\"\nq14,\"How many movies have I watched in total since 2015?\",\"daily_watchtv_log\"\nq15,\"In which year have I watched the most number of movies?\",\"daily_watchtv_log\"\nq16,\"How many times did I make peanut butter cookies after 2015?\",\"weekly_bakeorcook_log\"\nq17,\"What do I bake or cook the most often?\",\"weekly_bakeorcook_log\"\nq18,\"How many dishes on average did I make on a daily basis in August 2018?\",\"weekly_bakeorcook_log\"\nq19,\"How many times did I go grocery shopping in 2019?\",\"weekly_grocery_log\"\nq20,\"In what year did I buy facial wash the most?\",\"weekly_grocery_log\"\nq21,\"What fruit do I buy the most often?\",\"weekly_grocery_log\"\nq22,\"When did I last go get groceries with Chloe?\",\"weekly_grocery_log\"\nq23,\"How many times have I done yoga with Avery?\",\"weekly_hobby_log\"\nq24,\"Who do I play {hobbies} with the most?\",\"weekly_hobby_log\"\nq25,\"What was my favorite hobby in 2016?\",\"weekly_hobby_log\"\nq26,\"What did I eat in Philadelphia?\",\"travel_dining_log\"\nq27,\"what are the most common foods I eat when I travel?\",\"travel_dining_log\"\nq28,\"what are the most common foods I eat when I'm in Philadelphia?\",\"travel_dining_log\"\nq29,\"what did I eat on the day that I visited Victory Monument?\",\"travel_dining_log,travel_places_visited_log\"\nq30,\"How many times did I visit Ipanema?\",\"travel_places_visited_log\"\nq31,\"How many places did I visit in Philadelphia?\",\"travel_places_visited_log\"\nq32,\"Which places in Bangkok, Thailand did I visit with Andrew?\",\"travel_places_visited_log\"\nq33,\"How many times did I get married?\",\"marriages_log\"\nq34,\"When did I first get married?\",\"marriages_log\"\nq35,\"When was the date of my most recent marriage?\",\"marriages_log\"\nq36,\"How many times did I move in my life?\",\"moves_log\"\nq37,\"When was my most recent move?\",\"moves_log\"\nq38,\"How many times did I move for a job?\",\"moves_log\"\nq39,\"How many times did I travel to Philadelphia?\",\"travel_log\"\nq40,\"When was the first time I traveled to Philadelphia?\",\"travel_log\"\nq41,\"How many times did I travel to Philadelphia in year 2010?\",\"travel_log\"\nq42,\"What are my top N destinations places?\",\"travel_log\"\nq43,\"Find me a picture of shaking beef.\",unknown\nq44,\"When did I last take a photo with my big camera?\",unknown\n"
  },
  {
    "path": "src/qa/posttext/requirements.txt",
    "content": "plotly\nmatplotlib\nscikit-learn\nopenai\nflask\nlangchain==0.1.11\nfaiss-cpu\nmlflow\n"
  },
  {
    "path": "src/qa/posttext/server.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport sys\nimport os\nfrom flask import Flask, redirect, url_for, request, render_template, send_from_directory\nfrom posttext import PostText\nfrom configparser import ConfigParser\n\nconfig_object = None\nengine = None\n    \napp = Flask(__name__)\n\ndef create_app():\n    global config_object\n    global engine\n\n    config_object = ConfigParser(comment_prefixes=None)\n    config_object.read(app.config.get('data_dir')+\"/config.ini\")\n    engine = PostText(config_object, app.config.get('data_dir'))\n\n# # for profiling\n# from werkzeug.middleware.profiler import ProfilerMiddleware\n# app.wsgi_app = ProfilerMiddleware(app.wsgi_app)\n\n@app.route('/test', methods=['GET'])\ndef test():\n    \"\"\"\n    TODO: make calls to the appropriate python function\n    TODO: we may want to change these API's to POST apis\n    \"\"\"\n    # query = request.args.get('event')\n    for key in request.args:\n        print(key, request.args[key])\n    return {'message': 'okay'}\n\n\n@app.route('/query', methods=['GET'])\ndef query():\n    \"\"\"Query the posttext engine.\n    \"\"\"\n    q = request.args.get('query')\n    prompt, sql_before, sql_after, result = engine.query(q)\n    return {'prompt': prompt,\n            'sql_before': sql_before, \n            'sql_after': sql_after, \n            'result': result}\n\n\nif __name__ == '__main__':\n    app.config['data_dir'] = sys.argv[1]\n    create_app()\n    app.run(debug=True)\n"
  },
  {
    "path": "src/qa/posttext/src/posttext.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nimport sys\n\n#from .retrieval_qa import RetrievalBasedQA\n#from .views_qa import ViewBasedQA\nfrom .views_qa import *\nfrom .retrieval_qa import *\nfrom typing import Dict\nfrom configparser import ConfigParser\n\n\nclass PostText:\n\n    def __init__(self, \n                 config: Dict,\n                 directory: str):\n        \"\"\"Original code parameters.\n        \"\"\"\n        # self.retrieval_qa = RetrievalBasedQA(config, directory)\n        self.view_qa = ViewBasedQA(config, directory)\n\n\n    def query(self, question: str):\n        \"\"\"Process the query using all available QA components.\n        \"\"\"\n        print(\"Computing with views:\")\n        formattedprompt = \"\"\n        sqlquery_before = \"\"\n        sqlquery = \"\"\n        view_res = \"\"\n        eng_answer = \"\"\n        provenance_ids = \"\"\n        retrieval_res = \"\"\n\n        view_error = False\n        rag_error = False\n\n        try:\n            formattedprompt, sqlquery_before, sqlquery, view_res, eng_answer, provenance_ids = self.view_qa(question)\n            print(\"View-based answer:\")\n            print(view_res)\n            print(eng_answer)\n            print(\"Sources:\", end=\"\")\n            print(provenance_ids)\n        except Exception as error:\n            view_res = error\n            eng_answer = error\n            print('Unsuccessful with view-based computation, please use only RAG answer. [', error, ']')\n            view_error = True\n\n        # try:\n        #     print(\"RAG answer:\")\n        #     retrieval_res = self.retrieval_qa(question)\n        #     print(retrieval_res)\n        # except Exception as error:\n        #     print('Unsuccessful with RAG-based computation: [', error, ']')\n        #     retrieval_res = \"\"\n        #     rag_error = True\n\n        if view_error and rag_error:\n            raise Exception(\"Error in computing answer\")\n        else:\n            return formattedprompt, sqlquery_before, sqlquery, view_res, eng_answer, provenance_ids, retrieval_res\n\ndef main(argv):\n    #Read config.ini file\n    if len(argv[0]) <= 0:\n        print(\"posttext.py <path to dataset directory>\")\n        return\n\n    config = ConfigParser(comment_prefixes=None)\n    directory = argv[0]\n    config.read(os.path.join(directory, \"config.ini\"))\n\n    # create a posttext instance\n    posttext = PostText(config, directory)\n\n    # process a single query\n    while True:\n        print()\n        print()\n        print(\"PostText v0.0 ====>\")\n        question = input(\"Enter your question:\\n\")\n        if len(question.strip())==0:\n            continue\n        try:\n            posttext.query(question)\n        except Exception as error:\n            print(\"No success in computing an answer: [\", error, \"]\")\n            print(\"Please try again. Ctrl-C to end.\")\n\n\nif __name__ == \"__main__\":\n    main(sys.argv[1:])\n"
  },
  {
    "path": "src/qa/posttext/src/retrieval_qa.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport pickle\nimport os\nimport langchain\n\nfrom langchain import OpenAI\nfrom langchain.chains import RetrievalQAWithSourcesChain\nfrom langchain.cache import InMemoryCache\nfrom langchain.chat_models import ChatOpenAI\nimport datetime\n\nclass RetrievalBasedQA:\n\n    def __init__(self, config, directory):\n        self.config = config\n        self.source_idx_path = os.path.join(directory, config[\"input\"][\"source_idx\"])\n        self.source_vectorstore = self.load_source_vectorstore(self.source_idx_path)\n        self.rag_qa_model = config[\"RAG\"][\"qa_model\"]\n        self.rag_temperature = config[\"RAG\"][\"temperature\"]\n        self.rag_topk = config[\"RAG\"][\"topk\"]\n        self.llm = ChatOpenAI(model_name=self.config[\"RAG\"][\"qa_model\"], temperature=self.config[\"RAG\"][\"temperature\"])\n        \n        self.chain = RetrievalQAWithSourcesChain.from_chain_type(self.llm,\n                        chain_type=\"stuff\", \n                        reduce_k_below_max_tokens=True,\n                        retriever=self.source_vectorstore.as_retriever(search_kwargs={\"k\": int(self.rag_topk)}))\n\n\n    def load_source_vectorstore(self, path: str):\n        \"\"\"Load the episode vectorstore from pickle files.\n        \"\"\"\n        vectorstore = \"\"\n        with open(path, \"rb\") as f:\n            vectorstore = pickle.load(f)\n        return vectorstore\n\n    def query(self, question: str):\n        \"\"\"Use the RetrievalQAWithSourcesChain from langchain for QA.\n        \"\"\"\n        e1 = datetime.datetime.now()\n        res = self.chain({\"question\": question})\n        e2 = datetime.datetime.now()\n        e3 = e2 - e1\n        print(f\"Elapsed time: {e3}\")\n        return res\n\n    def __call__(self, question: str):\n        return self.query(question)\n"
  },
  {
    "path": "src/qa/posttext/src/views_qa.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport pandas as pd\nimport openai\nimport os\nimport csv\nimport sqlite3\nimport datetime\nimport sqlparse\nfrom sqlparse.sql import IdentifierList, Identifier, Function, Where, Parenthesis, TokenList, Comparison, Operation\n\nfrom openai.embeddings_utils import get_embedding, cosine_similarity\nfrom .views_util import *\nfrom .views_util import _customLIKE\nfrom typing import Dict\nimport pickle\n\nfrom langchain import OpenAI, SQLDatabase, SQLDatabaseChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.chains import LLMChain\nfrom langchain.llms import OpenAI\nfrom langchain.chat_models import ChatOpenAI\nfrom langchain.prompts.chat import (\n    ChatPromptTemplate,\n    HumanMessagePromptTemplate,\n)\n\nclass ViewBasedQA:\n\n    def __init__(self,\n                 config: Dict,\n                 directory: str):\n        self.config = config\n        self.views_path = os.path.join(directory, config[\"input\"][\"views_metadata\"])\n        self.idxpath = os.path.join(directory, config[\"input\"][\"views_metadata_idx\"])\n\n        self.views_db = os.path.join(directory, config[\"input\"][\"views_db\"])\n        self.model_name = config[\"Views\"][\"model_name\"]\n\n        self.views_catalog_dict = read_views_catalog(self.views_path)\n        self.views_desc_store = get_desc(self.views_catalog_dict, short=True)\n        self.tablename_store = get_table_names(self.views_catalog_dict)\n\n        # create embedding dataframe\n        self.df = self.load_viewsmetadata_embeddings()\n\n        self.embedding_model = config[\"embedding_model\"][\"model\"]\n        self.sql_prompt = config[\"sql_prompt\"][\"prompt\"]\n\n        self.in_memory_cache = {} #dictionary for caching results\n\n\n    def load_viewsmetadata_embeddings(self):\n        \"\"\"Load embeddings from paths.\n        \"\"\"\n        df = pd.DataFrame()\n\n        df['tablename'] = self.tablename_store\n        if len(self.idxpath) > 0:\n            # read from stored embeddings\n            df = pd.read_csv(self.idxpath)\n            df['embedding'] = df.embedding.apply(eval).apply(np.array)\n        else:\n            # read from views metadata file to generate embeddings\n            vectors = map(lambda x: get_embedding(x, engine=self.embedding_model),\n                                                  self.views_desc_store)\n            vectorslist = list(vectors)\n            df['embedding'] = vectorslist\n\n            # store embeddings\n            df.to_csv(self.idxpath, index=False)\n        return df\n\n    def match_views(self, question: str):\n        openai.api_key = os.getenv(\"OPENAI_API_KEY\")\n        xq = get_embedding(question,\n                           engine=self.embedding_model)\n\n        self.df['similarity'] = self.df.embedding.apply(lambda x: cosine_similarity(x, xq))\n        self.df = self.df.sort_values('similarity', ascending=False, ignore_index=True)\n        print(self.df[['tablename','similarity']].to_string())\n\n        tablename = self.df['tablename'][0]\n        simscore = self.df['similarity'][0]\n        table = self.views_catalog_dict[tablename]\n        return tablename, simscore, table\n\n    def generate_provenance_query(self, sqlquery, tablename, key):\n        #\n        # for each simple SELECT-FROM-WHERE-GROUPBY-HAVING query, generate the provenance \n        #\n\n        sql = sqlparse.format(sqlquery, strip_comments=True).strip()\n        p = sqlparse.parse(sql)[0]\n\n        prov_query = \"SELECT {} \"\n        i = sqlquery.find(\"FROM\")\n        prov_query = prov_query.format(key) + sqlquery[i:]\n        return prov_query\n    \n\n    def removeGOH(self, fromclause):\n        sql = sqlparse.format(fromclause, strip_comments=True).strip()\n        p = sqlparse.parse(sql)[0]\n\n        ptokenlist = p.tokens\n        # look for groupby\n        i = 0\n        while i<len(ptokenlist):\n            if ptokenlist[i].ttype == T.Keyword and (ptokenlist[i].value in ['GROUP BY', 'HAVING', 'ORDER BY', 'DESC', 'ASC']):\n                ptokenlist.pop(i)      \n                #while i<len(ptokenlist) and ptokenlist[i].value not in ['GROUP BY', 'HAVING', 'ORDER BY', 'LIMIT']:\n                while i<len(ptokenlist) and ptokenlist[i].value not in ['GROUP BY', 'HAVING', 'ORDER BY']:\n                    ptokenlist.pop(i)\n            else:\n                i = i + 1\n        returnstr = ''\n        i = 0\n        while i<len(ptokenlist):\n            returnstr = returnstr + ptokenlist[i].value\n            i = i + 1\n            \n        return returnstr\n\n\n    def generate_prov_query(self, sqlquery, key):\n        \n        #find SELECT\n        sql = sqlparse.format(sqlquery, strip_comments=True).strip()\n        p = sqlparse.parse(sql)[0]\n\n        ptokenlist = p.tokens\n        prov_query_list = []\n        if ptokenlist[0].value == \"SELECT\":\n            prov_query = \"\"\n            fromidx = sqlquery.find(\"FROM\")\n            fromclause = sqlquery[fromidx:]\n            selectidx = fromclause.find(\"SELECT\")\n            if selectidx > 0:\n                  prov_query = \"SELECT * \"\n                  prov_query_list.append(prov_query + fromclause)\n                  # process subquery\n                  fromclause = self.removeGOH(fromclause)\n                  prov_query_list = prov_query_list + self.generate_prov_query(fromclause, key)\n                  return prov_query_list\n            else:\n                  # no more subqueries\n                  prov_query = \"SELECT {} \"\n                  fromclause = self.removeGOH(fromclause)\n                  prov_query_list.append((prov_query + fromclause).format(key))\n                  return prov_query_list + self.generate_prov_query(fromclause, key)\n        else:\n            # dfs for SELECT clause\n            for i in range(0, len(ptokenlist)):\n                  if ptokenlist[i].ttype == None:\n                        # dig in\n                        currnode = ptokenlist[i]\n                        subquery = currnode.value\n                        for j in range(0, len(currnode.tokens)):\n                              currtoken = currnode.tokens[j]\n                              # recurse on subqueries\n                              if isinstance(currtoken,Parenthesis): \n                                    sub = currtoken.value\n                                    sub = sub[1:len(sub)-1]\n                                    prov_query_list = prov_query_list + self.generate_prov_query(sub, key)\n                              elif currtoken.ttype == None:\n                                    prov_query_list = prov_query_list + self.generate_prov_query(currtoken.value, key)\n            return prov_query_list\n\n    def table_result2English(self, \n                      tablelist,\n                      question,\n                      result):\n        \n        prompt_str = \"\"\"\n        Table description: \n        {schema}\n        {attrdesc}\n        The following is the answer to the question \"{question}\" based on the table described above. Write an English sentence to describe the answer below.\n\n        {table_result}\n        \"\"\"\n\n        attrdesc = \"\"\n        for table in tablelist:\n            for i in table[\"attrs\"]:\n                attrdesc = attrdesc + i + \"\\n\\t\"\n            attrdesc = attrdesc + \"\\n\"\n        \n        llm = OpenAI(temperature=0.0)\n        prompt = PromptTemplate(\n            input_variables=[\"schema\", \"attrdesc\", \"question\", \"table_result\"],\n            template=prompt_str\n        )\n\n        args = {\"schema\": table[\"schema\"],\"attrdesc\":attrdesc,\"question\":question,\"table_result\":str(result)}\n        chain = LLMChain(llm=llm, prompt = prompt)\n        return chain.run(args).strip()\n\n    def generate_prompt_example_records(self, \n                                 tablename):\n        # retrieve sample rows\n        example = \"\"\n        try:\n            connection = sqlite3.connect(self.views_db)\n            print(\"Connection to sqlite successful. Running query.\")\n            sqlquery = \"SELECT * FROM \"+tablename+\" LIMIT 3\"\n            # run query\n            queryresult = pd.read_sql_query(sqlquery, connection)\n            if len(queryresult)==0:\n                example = \"# no examples available\"\n            else:\n                example = queryresult.to_string()\n            connection.close()\n        except sqlite3.Error as error:\n            # TODO: return something\n            print(\"Error while connecting or executing query\", error)\n            example = \"\"\n\n        return example\n\n    def query_views(self, \n                    question: str):\n        \"\"\"Process a query.\n        \"\"\"\n        if question in self.in_memory_cache.keys():\n            print(\"Loading cached result...\")\n            view_res = pickle.loads(self.in_memory_cache[question])\n            provenance_ids = pickle.loads(self.in_memory_cache[question+'(p-ids)'])\n            info_str = \"Loaded answer from cache\"\n            eng_answer = pickle.loads(self.in_memory_cache[question+\"(eng)\"])\n            return info_str, info_str, info_str, view_res, eng_answer, provenance_ids\n\n\n        # find best matching table\n        tablename, simscore, table = self.match_views(question)\n        # prepare prompt\n        template = self.sql_prompt\n        human_message_prompt = HumanMessagePromptTemplate(\n                                    prompt=PromptTemplate(\n                                    template=template,\n                                    input_variables=[\"tablename\",\"schema\",\"table_desc\",\"example\",\"additional_context\",\"question\"],\n                                    #input_variables=[\"question\"]\n                                    )\n                                )\n        example = self.generate_prompt_example_records(tablename)\n\n        chat_prompt_template = ChatPromptTemplate.from_messages([human_message_prompt])\n        chat = ChatOpenAI(model_name=self.model_name, temperature=0) #uses gpt-3.5-Turbo by default\n        chain = LLMChain(llm=chat, prompt=chat_prompt_template)\n        dict = {\"tablename\":tablename,\n                \"schema\":table[\"schema\"],\n                \"table_desc\":table[\"description\"],\n                \"example\":example,\n                \"additional_context\":table[\"additional_context\"],\n                \"question\":question}\n        #dict = {\"question\":question}\n        formattedprompt = template.format(**dict)\n        response = \"\"\n        try:\n            response = chain.run(dict)\n        except Exception as error:\n            print(\"Error generating SQL query\", error)\n            raise Exception(\"SQL query generation error: \" + error)\n\n        # it can happen that the LLM did not find the best matching table appropriate and hence, does not generate an SQL query\n        if \"SORRY\" in response.upper() :\n            raise Exception(\"SQL generation unsuccessful\")\n\n        sqlquery = \"SELECT \" + response\n        print(formattedprompt)\n        print(\"Generated SQL code:\")\n        print(sqlquery)\n        sqlquery_before = sqlquery\n\n\n        sqlquery = prep_SQL(sqlquery, question, table['schema'])\n        sqlquery = sqlquery.strip()\n\n        print()\n        print(\"==> Cleaned SQL query:\")\n        print(sqlquery)\n\n        cursor = None\n        connection = None\n        queryresult = None\n        eng_answer = \"\"\n        try:\n            # RUN SQL query\n            # connect to sqlite db\n            connection = sqlite3.connect(self.views_db)\n            cursor = connection.cursor()\n            connection.create_function(\"CLOSE\", 2, _customLIKE)\n            print(\"Connection to sqlite successful. Running query.\")\n            # run query\n            cursor.execute(sqlquery)\n            queryresult = cursor.fetchall()\n            print(queryresult)\n\n            if len(queryresult)==0:\n                queryresult = [(None,)]  # so that english translation will make more sense\n            \n            eng_answer = self.table_result2English([table], question, queryresult)\n        except Exception as error:\n            print(\"Unsuccessful at connecting to SQL server or executing query: [\", error, ']')\n            # halt processing view-based and throw exception\n            raise Exception(\"SQL error: \" + error)\n\n        provenance_ids = []\n        try:\n            #generate query to compute provenance\n            #assumption that the key is one attribute\n            print()\n            print(\"==> Query for tracking provenance:\")\n            print(\"Obtaining table key:\")\n            getPKquery = \"SELECT name FROM pragma_table_info('{}') where pk;\"\n            getPKquery = getPKquery.format(tablename)\n            print(getPKquery)\n            cursor.execute(getPKquery)\n            key = cursor.fetchall()\n            key_str = \"\"\n            for r in key:\n                if len(key_str) > 0:\n                    key_str = key_str + \",\" + r[0]\n                else:\n                    key_str = r[0]\n\n            prov_query_list = self.generate_prov_query(sqlquery, key_str)\n            queryid = 0\n            for q in prov_query_list:\n                print(q)\n                cursor.execute(q)\n                provenance = cursor.fetchall()\n                provenance_ids.append((\"q\"+str(queryid), q))\n                print()\n                print('Tuples contributing to query: ')\n                for row in provenance:\n                    provenance_ids.append((\"q\"+str(queryid), row))\n                queryid = queryid + 1\n                print(provenance_ids)\n        except Exception as error:\n            print(\"Unsuccessful attempt to generate provenance. Skipping : [\", error, ']')\n            raise Exception(\"Provenance SQL error: \" + error)\n\n\n        try:\n            cursor.close()\n            connection.close()\n        except Exception as error:\n            print(\"Unsuccessful at closing SQL server: [\", error, \"]\")\n\n        # store results in cache\n        self.in_memory_cache[question] = pickle.dumps(queryresult)\n        self.in_memory_cache[question+'(p-ids)'] = pickle.dumps(provenance_ids)\n        self.in_memory_cache[question+\"(eng)\"] = pickle.dumps(eng_answer)\n\n        return formattedprompt, sqlquery_before, sqlquery, queryresult, eng_answer, provenance_ids\n\n    def query(self, question:str):\n        e1 = datetime.datetime.now()\n        formattedprompt, sqlquery_before, sqlquery, res, eng_answer, provenance_ids = self.query_views(question)\n        e2 = datetime.datetime.now()\n        e3 = e2 - e1\n        print()\n        print(f\"Elapsed time: {e3}\")\n        return formattedprompt, sqlquery_before, sqlquery, res, eng_answer, provenance_ids\n\n\n    def __call__(self, question: str):\n        return self.query(question)\n"
  },
  {
    "path": "src/qa/posttext/src/views_util.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport numpy as np\nimport pandas as pd\nfrom json import dumps\nimport re\n\nimport sqlite3\nfrom sqlite3 import Error\nimport sqlparse\nfrom sqlparse.sql import IdentifierList, Identifier, Function, Where, Parenthesis, TokenList, Comparison, Operation\nfrom sqlparse import tokens as T\nfrom openai.embeddings_utils import get_embedding, cosine_similarity\nimport dbm\nimport pickle\n\n# viewspath = \"\"\n# idxpath = \"\"\n# queryfilepath = \"\"\n# views_catalog_dict = {}\n\ndef get_embedding_with_cache(text,engine):\n    with dbm.open('cache', 'c') as db:\n        if text in db:\n            return pickle.loads(db[text])\n        else:\n            res = get_embedding(text,engine=engine)\n            db[text] = pickle.dumps(res)\n            return res\n\n# define user defined function fuzzy LIKE based on comparing embeddings\ndef _customLIKE(arg1,arg2):\n    # code for arg1 LIKE arg2\n    #arg1 is the source string, arg2 is the target string\n\n    embedding_model = \"text-embedding-ada-002\"\n    #embedding_model = \"text-similarity-davinci-001\"\n    a1 = arg1.strip()\n    a2 = arg2.strip()\n    if a1 == a2:\n        return 1.0\n    elif a1 == \"\" or a2 == \"\":\n        return 0.0\n    else:\n        v1 = get_embedding_with_cache(a1,engine=embedding_model)\n        v2 = get_embedding_with_cache(a2,engine=embedding_model)\n        maxres = cosine_similarity(v1,v2)\n        \n        \"\"\"\n        v1 = get_embedding_with_cache(a1,engine=embedding_model)\n        a1len = len(a1.split(\" \")) + 2\n        a2list = a2.split(\" \")\n        maxres = 0\n        substr = \"\"\n        for i in range(0,len(a2list)):\n            if i+a1len > len(a2list):\n                substr = ' '.join(a2list[i:len(a2list)])\n            else:\n                substr = ' '.join(a2list[i:i+a1len])\n                i = i + a1len\n                \n            v2 = get_embedding_with_cache(substr,engine=embedding_model)\n            res = cosine_similarity(v1,v2)\n            if maxres < res:\n                maxres = res\n            if i+a1len > len(a2list):\n                break\n        \"\"\"\n        print(maxres)\n        # long target strings tend to \"dilute\" the scores\n        if len(arg2) > 8*len(arg1):\n            threshold = 0.84\n        elif len(arg2) > 4*len(arg1):\n            threshold = 0.86\n        else:\n            threshold = 0.88\n\n        if maxres > threshold:\n            return 1 #true\n        else:\n            return 0 #false\n\n\ndef raise_missing_field_error(error_str):\n    format_dict = {\"field_name\":error_str}\n    output_str = \"Missing {field_name} field.\"\n    print(output_str.format(**format_dict))\n    sys.exit(2)\n\n# read metadata about views and create index\ndef read_views_catalog(viewspath):\n\n    views_dict = {}\n\n    i = 0\n    with open(viewspath, \"r\") as f:\n        while True:\n            table_desc = {}\n            nm = \"\"\n            description = \"\"\n            schema = \"\"\n            additional_context = \"\"\n            foreign_key = \"\"\n            attr_desc = []\n            line = f.readline()\n            if not line: \n                break\n            # skip lines with \"##\" at the beginning\n            while line.startswith(\"##\"):\n                line = f.readline()\n                if not line:\n                    break\n\n            if line.startswith(\"name:\"):\n                i = line.index(\"name:\")\n                nm = line[i+len(\"name:\"):].strip()\n\n                line = f.readline()\n                if not line:\n                    raise_missing_field_error(\"description\")\n                if \"description:\" in line:\n                    i = line.index(\"description:\")\n                    description = line[i+len(\"description:\"):].strip()\n                    table_desc[\"description\"] = description\n\n                line = f.readline()\n                if not line:\n                    raise_missing_field_error(\"schema\")\n                if \"schema:\" in line:\n                    i = line.index(\"schema:\")\n                    schema = line[i+len(\"schema:\"):].strip()\n                    table_desc[\"schema\"] = schema\n\n                line = f.readline()\n                if not line:\n                    raise_missing_field_error(\"example queries:\")\n                if \"example queries:\" in line:\n                    i = line.index(\"example queries:\")\n                    schema = line[i+len(\"example queries:\"):].strip()\n                    table_desc[\"example queries\"] = schema\n\n                line = f.readline()\n                if not line:\n                    raise_missing_field_error(\"additional_context\")\n                if \"additional_context\" in line:\n                    i = line.index(\"additional_context:\")\n                    additional_context = line[i+len(\"additional_context:\"):].strip()\n                    if len(additional_context) == 0:\n                        table_desc[\"additional_context\"] = \"\"\n                    else:\n                        table_desc[\"additional_context\"] = additional_context\n\n                line = f.readline()\n                if not line:\n                    raise_missing_field_error(\"foreign key\")\n                if \"foreign key:\" in line:\n                    i = line.index(\"foreign key:\")\n                    foreign_key = line[i+len(\"foreign key:\"):].strip()\n                    table_desc[\"foreign_key\"] = foreign_key\n                \n                attribute_desc = []\n                schema = {}\n                while True:\n                    line = f.readline()\n                    if len(line.strip()) == 0:\n                        break\n                    attribute_desc.append(line.strip())\n                    # store schema of table\n                    j = line.find(\":\")\n                    attrname = line[0:j].strip()\n                    k = line.find(\"//\")\n                    attrtype = line[j+1:k].strip()\n                    schema[attrname] = attrtype\n                     \n                table_desc[\"attrs\"] = attribute_desc\n                table_desc[\"schema\"] = schema\n\n            if len(nm)>0:\n                views_dict[nm] = table_desc\n\n    f.close()\n    return views_dict\n\n\n# assumes sql query is of the form\n#SELECT column1, column2,....,columnN\n#FROM tableName\n#WHERE [conditions]\n#GROUP BY column1\n#HAVING [conditons]\n#ORDER BY column2\n#LIMIT\n\ndef escapeSingleQuote(str):\n    newstr = ''\n    for i in range(0,len(str)):\n        if str[i] == \"'\":\n            newstr = newstr + \"''\"\n        else: \n            newstr = newstr + str[i]\n    return newstr\n\ndef strip_percent(str):\n    # remove beginning and end % from string. '%%video games%%' --> 'video games'\n    i = 0\n    print(str)\n    while (str[i]=='%'):\n        i = i + 1  \n    j = len(str) - 1\n    while (str[j]=='%'):\n        j = j - 1          \n    return str[i:j+1]  \n \n\ndef prep_SQL(sql, question, schema):\n    sql = sqlparse.format(sql, strip_comments=True).strip()\n    p = sqlparse.parse(sql)[0]\n\n    newsql = \"\"\n    question = escapeSingleQuote(question)\n    for t0 in p.tokens:\n        if t0.value.upper() == 'HAVING':\n            newsql = newsql + \"HAVING\"\n        elif isinstance(t0, Where):\n            # deep dive into Where clause\n            tokeniter = iter(t0.tokens)\n            while True:\n                try:\n                    t1 = next(tokeniter)\n                except StopIteration:\n                    break\n                if isinstance(t1,Comparison):\n                    t1list = t1.tokens\n                    k = 0\n                    while not (t1list[k].ttype==T.Comparison):\n                        k = k + 1\n                    comp_op = t1list[k]\n                    attrname = t1.left.value\n                    value = t1.right.value\n                    if (isinstance(t1.right,Parenthesis)):\n                        newsql = newsql + attrname + \" \" + comp_op.value + \" \" + prep_SQL(value, question, schema)\n                    elif comp_op.value in [\"=\", \"<\", \">\", \"<=\", \">=\", \"!=\", \"IN\"]:\n                        if attrname in schema.keys() and schema[attrname] == \"TEXT\" and comp_op.value == \"=\" and (t1.right.ttype == T.Literal.String.Single):\n                            # of the form attrname = 'strvalue'\n                            #TODO: avoid hardcoding 0.85\n                            value = escapeSingleQuote(value[1:len(value)-1])\n                            #newsql = newsql + \"(\" + attrname + \" LIKE '%\" + value + \"%' OR CLOSE('\"+question + \" \" + attrname + \":\" + value + \"',\" + attrname + \")>0.88)\"\n                            newsql = newsql + \"(\" + attrname + \" LIKE '%\" + value + \"%' OR CLOSE('\" + strip_percent(value) + \"', \" + attrname + \"))\"\n                        else:\n                            newsql = newsql + t1.value\n                    elif comp_op.value == 'LIKE':\n                        if (t1.right.ttype == T.Literal.String.Single):\n                            value = escapeSingleQuote(value[1:len(value)-1])\n                            compstr = t1.left.value + \" LIKE '\" + value +\"'\"\n                            #newsql = newsql + \"(\" + compstr + \" OR CLOSE('\"+ question + \" \" + attrname + \":\" + value + \"',\" + attrname+\")>0.88)\"\n                            newsql = newsql + \"(\" + attrname + \" LIKE '%\" + value + \"%' OR CLOSE('\" + strip_percent(value) + \"', \" + attrname + \"))\"\n                        else:\n                            newsql = newsql + t1.value\n                elif isinstance(t1,Parenthesis):\n                    # check if next element is a DML\n                    # recurse on this sub condition or subquery\n                    newsql = newsql + prep_SQL(t1.value, question, schema)\n                elif (t1.ttype==None): #likely a substatement, recurse\n                    newsql = newsql + prep_SQL(t1.value, question, schema)\n                elif not(t1.value.strip() == \"#\"):\n                    newsql = newsql + t1.value\n        elif (t0.value[0] == \"(\" and (isinstance(t0,Parenthesis) or t0.ttype==None)):\n            #a substatement, recurse without \"(...)\"\n            sub = t0.value\n            remainingstr = \"\"\n            if sub[len(sub)-1] == ')':\n                sub = sub[1:len(sub)-1]\n            else:\n                # find last ')'\n                ridx = sub.rfind(')')\n                remainingstr = sub[ridx+1:]\n                sub = sub[1:ridx]\n            newsql = newsql + \"(\" + prep_SQL(sub, question, schema) + \")\" + remainingstr\n        elif not (t0.value.strip() == \"#\"):\n            # keep existing tokens\n            newsql = newsql + t0.value\n\n    return newsql\n\n\n\n# return description of views as a list\ndef get_desc(views_catalog_dict, short):\n    desc = []\n    for key in views_catalog_dict:\n        table_desc = views_catalog_dict[key]\n        if short:\n            table_desc_short = {}\n            table_desc_short['description'] = table_desc['description']\n            table_desc_short['example queries'] = table_desc['example queries']\n            table_desc_short['additional_context'] = table_desc['additional_context']\n            desc.append(dumps(table_desc_short))\n        else:\n            desc.append(dumps(table_desc))\n    return desc\n\n\ndef get_table_names(views_catalog_dict):\n    names = []\n    for key in views_catalog_dict:\n        names.append(key)\n    return names\n"
  },
  {
    "path": "src/qa/posttext/util/create_metadata_idx.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nimport sys\n[sys.path.append(i) for i in ['.', '..']]\nimport csv\nimport pandas as pd\n\nimport openai\nfrom openai.embeddings_utils import get_embedding, cosine_similarity\nfrom src.views_util import *\nfrom configparser import ConfigParser\n\ndef main(argv):\n    #execute this command in the directory where config.ini is located\n    print(argv[0])\n\n\n    # read config.ini\n    config_obj = ConfigParser(comment_prefixes=None)\n    config_obj.read(argv[1])\n\n    views_catalog_dict = read_views_catalog(argv[0])\n    views_desc_store = get_desc(views_catalog_dict, short=True)\n    tablename_store = get_table_names(views_catalog_dict)\n\n    embedding_model = config_obj['embedding_model']['model']\n    # this the encoding for text-embedding-ada-002\n    embedding_encoding = config_obj[\"embedding_model\"][\"encoding\"]\n    max_tokens = config_obj[\"embedding_model\"][\"max_tokens\"] # the maximum for text-embedding-ada-002 is 8191\n\n    views_desc_store = get_desc(views_catalog_dict, short=True)\n    df = pd.DataFrame()\n\n    df['tablename'] = tablename_store\n\n    # read from views metadata file to generate embeddings\n    vectors = map(lambda x: get_embedding(x, engine=embedding_model), views_desc_store)\n    vectorslist = list(vectors)\n    df['embedding'] = vectorslist\n    # store embeddings\n    df.to_csv(argv[2], index=False)\n    print(\"stored embeddings to \"+argv[2])\n\n\nif __name__ == \"__main__\":\n    main(sys.argv[1:])\n"
  },
  {
    "path": "src/qa/posttext/util/data2vectorstore.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nimport sys\nimport csv\nimport pandas as pd\n\n\nfrom langchain.llms import OpenAI\nfrom langchain.prompts import PromptTemplate\nfrom langchain.chains import LLMChain\n\nfrom langchain.text_splitter import RecursiveCharacterTextSplitter\nfrom langchain.document_loaders import UnstructuredFileLoader\nfrom langchain.vectorstores.faiss import FAISS\nfrom langchain.embeddings import OpenAIEmbeddings\nimport pickle\nfrom langchain.docstore.document import Document\n\n\ndef chunk_to_string(ch):\n    ch['date'] = ch['date'].map(lambda x:\"On \" + x + \", \")\n    return ' '.join((ch['date'] + ch['desc']).tolist())\n\ndef main(argv):\n    print(argv[0])\n    chunksize = 50\n    documents = []\n    for chunk in pd.read_csv(argv[0], chunksize=chunksize):\n        documents.append(Document(page_content=chunk_to_string(chunk)))\n\n    print(len(documents))\n\n    embeddings = OpenAIEmbeddings()\n    vectorstore = FAISS.from_documents(documents, embeddings)\n\n    # Save vectorstore\n    #with open(\"timeline-vectorstore-faiss-chunk100.pkl\", \"wb\") as f:\n    with open(\"output.pkl\", \"wb\") as f:\n        pickle.dump(vectorstore, f)\n\n\nif __name__ == \"__main__\":\n    main(sys.argv[1:])\n"
  },
  {
    "path": "src/qa/posttext/util/digital_data2vectorstore.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nimport sys\nimport csv\nimport pandas as pd\n\nfrom langchain.vectorstores.faiss import FAISS\nfrom langchain.embeddings import OpenAIEmbeddings\nimport pickle\nfrom langchain.docstore.document import Document\nfrom datetime import datetime\n\ndef verbalize(episodes):\n    all_text = []\n    all_meta = []\n    id2epi = {}\n    for i, dt, desc, details in zip(episodes['id'], episodes['date'], episodes['desc'], episodes['details']):\n        l0 = dt[0:10]\n        l1 = dt[11:]\n        d = datetime.strptime(l0,\"%Y-%m-%d\")\n        d_str = d.strftime(\"%Y/%m/%d\") + \" \" + l1\n        text = 'On {0}, {1}'.format(d_str,details)\n        print(text)\n        metadata = {'source': i}\n        all_text.append(text)\n        all_meta.append(metadata)\n        id2epi[i] = text\n\n    return all_text, all_meta, id2epi\n\ndef main(argv):\n\n    episodes = pd.read_csv(argv[0])\n    textdata, metadata, id2epi = verbalize(episodes)\n    embeddings = OpenAIEmbeddings()\n\n    docsearch = FAISS.from_texts(textdata, embeddings, metadatas=metadata)\n\n    # Save vectorstore\n    #with open(\"timeline-vectorstore-faiss-chunk100.pkl\", \"wb\") as f:\n    with open(argv[1], \"wb\") as f:\n        pickle.dump(docsearch, f)\n\n\n\nif __name__ == \"__main__\":\n    main(sys.argv[1:])\n"
  },
  {
    "path": "src/qa/posttext/util/jsontimeline2csv.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport json\nimport sys\nimport pandas as pd\nfrom collections import OrderedDict\n\ndef main(argv):\n    filepath = argv[0]\n    print(\"Loading \"+filepath)\n    f = open(filepath)\n    data = json.load(f)\n    print(\"Completed\")\n\n    #keys = data.keys()\n    keys = list(data.keys())\n    keys.sort()\n\n    print(\"Converting to csv .\", end=\"\")\n    dict = { 'id':[], 'date':[], 'desc':[], 'details':[]}\n    df = pd.DataFrame(dict)\n    for k in keys:\n        for episode in data[k]:\n            dftem = pd.DataFrame([[k, data[k][episode]['text_template_based']]], columns=['date','desc'])\n            df = pd.concat([df, dftem])\n            print(\".\", end=\"\")\n\n    # details column is for Aria data with more detailed description\n    df['details'] = df['desc']\n    l = []\n    for i in range(0,len(df)):\n        l.append(i)\n    df['id'] = l\n\n    print(\"\")\n    df.to_csv(argv[1], index=False)\n    print(\"Done\")\n\nif __name__ == \"__main__\":\n    main(sys.argv[1:])\n"
  },
  {
    "path": "src/qa/posttext/util/setup.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nimport sys\n[sys.path.append(i) for i in ['.', '..']]\nimport csv\nimport pandas as pd\n\nimport openai\nfrom openai.embeddings_utils import get_embedding, cosine_similarity\nfrom src.views_util import *\nfrom configparser import ConfigParser\nfrom datetime import datetime\nimport json\nfrom langchain.vectorstores.faiss import FAISS\nfrom langchain.embeddings import OpenAIEmbeddings\nimport pickle\n\nclass Setup:\n    def __init__(self, \n                 directory: str):\n        self.dir = directory\n        print(self.dir)\n\n    def install_metadata(self):\n\n        # read config.ini\n        configfile = os.path.join(self.dir, \"config.ini\")\n        print(\"Reading config file \"+configfile)\n        config_obj = ConfigParser(comment_prefixes=None)\n        config_obj.read(configfile)\n\n        catalogfile = os.path.join(self.dir, \"views_metadata.txt\")\n        print(\"Reading views catalog file \" + catalogfile)\n        views_catalog_dict = read_views_catalog(catalogfile)\n        views_desc_store = get_desc(views_catalog_dict, short=True)\n        tablename_store = get_table_names(views_catalog_dict)\n\n        embedding_model = config_obj['embedding_model']['model']\n        # this the encoding for text-embedding-ada-002\n        embedding_encoding = config_obj[\"embedding_model\"][\"encoding\"]\n        max_tokens = config_obj[\"embedding_model\"][\"max_tokens\"] # the maximum for text-embedding-ada-002 is 8191\n\n        views_desc_store = get_desc(views_catalog_dict, short=True)\n        df = pd.DataFrame()\n\n        df['tablename'] = tablename_store\n\n        print(\"Generating embeddings for catalog ... \")\n        # read from views metadata file to generate embeddings\n        vectors = map(lambda x: get_embedding(x, engine=embedding_model), views_desc_store)\n        vectorslist = list(vectors)\n        df['embedding'] = vectorslist\n        # store embeddings\n        embeddingsfile = os.path.join(self.dir, \"views_idx.csv\")\n        df.to_csv(embeddingsfile, index=False)\n        print(\"Stored embeddings to \"+embeddingsfile)\n\n    def install_views(self):\n        print(\"Executing command to import views ...\")\n        createdbfile = os.path.join(self.dir, \"create_db.sql\")\n        cwd = os.getcwd()\n        os.chdir(self.dir)\n        os.system('```rm -f views_db.sqlite;sqlite3 views_db.sqlite \".read %s\"```' % (createdbfile))\n        os.chdir(cwd)\n        print(\"Stored views in sqlite db views_db.sqlite\")\n\n    def verbalize(self, episodes):\n        all_text = []\n        all_meta = []\n        id2epi = {}\n        for i, dt, desc, details in zip(episodes['id'], episodes['date'], episodes['desc'], episodes['details']):\n            d = datetime.strptime(dt,\"%Y/%m/%d\")\n            d1 = d.strftime(\"%m/%d/%Y\")\n            text = 'On {0}, {1}'.format(d,details)\n            metadata = {'source': i}\n            all_text.append(text)\n            all_meta.append(metadata)\n            id2epi[i] = text\n\n        return all_text, all_meta, id2epi\n\n    def install_data_embeddings(self):\n        filepath = os.path.join(self.dir, \"timeline.json\")\n        print(\"Loading \"+filepath)\n        f = open(filepath)\n        data = json.load(f)\n        print(\"Completed\")\n\n        #keys = data.keys()\n        keys = list(data.keys())\n        keys.sort()\n\n        print(\"Reading timeline data ...\")\n        dict = { 'id':[], 'date':[], 'desc':[], 'details':[]}\n        df = pd.DataFrame(dict)\n        for k in keys:\n            for episode in data[k]:\n                dftem = pd.DataFrame([[k, data[k][episode]['text_template_based']]], columns=['date','desc'])\n                df = pd.concat([df, dftem])\n\n        # details column is for Aria data with more detailed description\n        df['details'] = df['desc']\n        l = []\n        for i in range(0,len(df)):\n            l.append(i)\n        df['id'] = l\n            \n        print(\"Generating embedding vectors for timeline data ...\")\n        textdata, metadata, id2epi = self.verbalize(df)\n        embeddings = OpenAIEmbeddings()\n\n        docsearch = FAISS.from_texts(textdata, embeddings, metadatas=metadata)\n\n        # Save vectorstore\n        timelineembeddings = os.path.join(self.dir, \"timeline.pkl\")\n        with open(timelineembeddings, \"wb\") as f:\n            pickle.dump(docsearch, f)\n        print(\"Stored embeddings of timeline in \" + timelineembeddings)\n\n\ndef main(argv):\n    print()\n    print(\"==================================================================\")\n    print(\"This script will prepare your datasource for querying by posttext.\")\n    print(\"Please make sure you execute the command as follows:\")\n    print()\n    print(\"python setup.py <directory of your datasource>\")\n    print()\n    print(\"The directory of your datasource is expected to contain a file views_metadata.txt that describes your views.\")\n    print(\"The directory of your datasource is expected to contain a file views_metadata.txt that describes your views and the file config.ini.\")\n    print()\n    print(\"The directory of your datasource is expected to contain a file create_db.sql that describes how to import your views into sqlite.\")\n    print()\n    print(\"The directory of your datasource is expected to contain the timeline data file timeline.json that describes the timeline of the person\")\n    print()\n    input(\"Press any key to continue ...\")\n    print()\n\n    s = Setup(argv[0])\n    print()\n    print(\"Setting up index based on metadata ...\")\n    s.install_metadata()\n    print(\"Done\")\n    print()\n    print(\"Setting up views DB ...\")\n    s.install_views()\n    print(\"Done\")\n    print()\n    print(\"Setting up embeddings for timeline data ...\")\n    s.install_data_embeddings()\n    print(\"Done\")\n\n    \n\n\n\nif __name__ == \"__main__\":\n    main(sys.argv[1:])\n"
  },
  {
    "path": "src/qa/posttext/util/table2text.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nimport sys\nimport pandas as pd\n\n\ndef verbalize(episodes, template):\n    all_text = []\n    numcols = len(episodes.columns)\n    for idx, row in episodes.iterrows():\n        s = template.format(**row)\n        all_text.append(s)\n\n    return all_text\n\ndef main(argv):\n\n    episodes = pd.read_csv(argv[0])\n    template = argv[1]\n\n    textdata = verbalize(episodes, template)\n\n    text_file = open(argv[0]+\".txt\", \"w\")\n    for s in textdata:\n        text_file.write(s)\n        text_file.write(\"\\n\")\n    text_file.close()\n\n\nif __name__ == \"__main__\":\n    main(sys.argv[1:])\n"
  },
  {
    "path": "src/qa/qa_engine.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport pandas as pd\nimport pickle\nimport os\nimport langchain\nfrom langchain.cache import InMemoryCache\nlangchain.llm_cache = InMemoryCache()\n\nfrom langchain.embeddings.openai import OpenAIEmbeddings\nfrom langchain.chains import VectorDBQAWithSourcesChain\nfrom langchain import OpenAI\nfrom langchain.vectorstores import FAISS\nfrom langchain.prompts import PromptTemplate\n\nfrom datetime import datetime\n\nclass QAEngine:\n\n    def __init__(self, path, k=10):\n        episode_path = os.path.join(path, 'episodes.csv')\n        self.episodes = pd.read_csv(episode_path)\n        self.id2epi = {}\n        textdata, metadata, self.id2epi = self.verbalize(self.episodes)\n        embeddings = OpenAIEmbeddings()\n\n        print(\"Building / loading FAISS index\")\n        pkl_path = episode_path + '.emb'\n        if os.path.exists(pkl_path):\n            docsearch = pickle.load(open(pkl_path, 'rb'))\n        else:\n            print(\"Number of episodes =\", len(textdata))\n            docsearch = FAISS.from_texts(textdata, embeddings, metadatas=metadata)\n            pickle.dump(docsearch, open(pkl_path, 'wb'))\n\n        template = \"\"\"Given the following extracted parts of a long document and a question, create a final answer with references (\"SOURCES\").\nALWAYS return a \"SOURCES\" part in your answer.\n\nExample of your response should be:\n```\nThe answer is foo\nSOURCES: xyz\n```\nQUESTION: {question}\n=========\n{summaries}\n=========\nFINAL ANSWER:\"\"\"\n        PROMPT = PromptTemplate(template=template, input_variables=[\"summaries\", \"question\"])\n\n\n        self.chain = VectorDBQAWithSourcesChain.from_chain_type(OpenAI(temperature=0),\n                                chain_type=\"stuff\",\n                                vectorstore=docsearch,\n                                chain_type_kwargs={'prompt': PROMPT},\n                                k=k)\n\n        # create the view engine\n        view_config_path = os.path.join(path, 'config.ini')\n        if os.path.exists(view_config_path):\n            from view_engine import ViewEngine\n            self.view_engine = ViewEngine(path)\n        else:\n            self.view_engine = None\n\n\n    def verbalize(self, episodes: pd.DataFrame):\n        \"\"\"Verbalize the episode table into text.\n        \"\"\"\n        all_text = []\n        all_meta = []\n        id2epi = {}\n        for id, dt, desc in zip(episodes['id'], episodes['date'], episodes['desc']):\n            text = f'On {datetime.fromisoformat(dt).strftime(\"%m/%d/%Y\")}, {desc}'\n            metadata = {'source': id}\n            all_text.append(text)\n            all_meta.append(metadata)\n            id2epi[id] = text\n\n        return all_text, all_meta, id2epi\n\n    def query(self,\n              query: str,\n              method='Retrieval-based'):\n        \"\"\"Answer a query using a RAG-based QA method over Langchain.\n        \"\"\"\n        # query = \"Did I run often?\"\n        print(method)\n        print(query)\n\n        if method == 'View-based' and self.view_engine != None:\n            res = self.view_engine.query(query)\n            if 'Error' in str(res['answer']):\n                res = self.chain({\"question\": query})\n                res['answer'] = res['answer'].replace('SOURCES:', '')\n                res['sources'] = res['sources'].split(', ')\n        else:\n            res = self.chain({\"question\": query})\n            res['answer'] = res['answer'].replace('SOURCES:', '')\n            res['sources'] = res['sources'].split(', ')\n\n        new_sources = []\n        for i in range(len(res['sources'])):\n            source = res['sources'][i]\n            if source in self.id2epi:\n                print(source)\n                new_sources.append({'id': source, 'episode': self.id2epi[source]})\n                print(self.id2epi[source])\n\n        res['sources'] = new_sources\n\n        return res\n\n\nif __name__ == '__main__':\n    # engine = QAEngine('../../sample_data/')\n    engine = QAEngine('personal-data/app_data/')\n    # for query in [\"Show me some photos of plants in my neighborhood\"]:\n    #     # print(engine.query(query, method='Retrieval-based'))\n    #     print(engine.query(query, method='View-based'))\n"
  },
  {
    "path": "src/qa/server.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nimport sys\nimport inspect\nimport os.path as osp\nfrom flask_cors import CORS\n\nfrom flask import Flask, redirect, url_for, request, render_template, send_from_directory\nfrom qa_engine import QAEngine\nfrom chatgpt_engine import ChatGPTEngine\n\ncurrentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))\nparentdir = os.path.dirname(currentdir)\nsys.path.insert(0, parentdir)\n\n\napp = Flask(__name__)\nCORS(app)\n\n# # for profiling\n# from werkzeug.middleware.profiler import ProfilerMiddleware\n# app.wsgi_app = ProfilerMiddleware(app.wsgi_app)\n\n# Digital data QA engine\nqa_engine = None\n\n# ChatGPT Engine (for baseline purpose)\nchatgpt_engine = None\n\n@app.route('/test', methods=['GET'])\ndef test():\n    \"\"\"\n    TODO: make calls to the appropriate python function\n    TODO: we may want to change these API's to POST apis\n    \"\"\"\n    # query = request.args.get('event')\n    for key in request.args:\n        print(key, request.args[key])\n    return {'message': 'okay'}\n\n@app.route('/launch', methods=['GET'])\ndef launch():\n    \"\"\"Launch a query engine.\n    \"\"\"\n    global qa_engine\n    global chatgpt_engine\n    \n    # qa_engine = QAEngine('public/digital_data')\n    qa_engine = QAEngine('personal-data/app_data/')\n    chatgpt_engine = ChatGPTEngine()\n    return {'message': 'okay'}\n\n\n@app.route('/query', methods=['GET'])\ndef query():\n    \"\"\"Query the posttext engine.\n    \"\"\"\n    # return {'message': 'okay'}\n    query = request.args.get('query')\n    method = request.args.get('qa')\n    print(method)\n\n    if method == 'ChatGPT':\n        return {\"question\": query, \"method\": method, \"answer\": chatgpt_engine.query(query), \"sources\": []}\n\n    # embedding-based QA\n    if qa_engine != None:\n        res = qa_engine.query(query, method=method)\n        res[\"method\"] = method\n        return res\n\n\nif __name__ == '__main__':\n    app.run(host=\"::\", port=8085, debug=True)\n"
  },
  {
    "path": "src/qa/view_engine.py",
    "content": "# Copyright (c) Meta Platforms, Inc. and affiliates.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\n\nimport os\nimport langchain\nfrom langchain.llms import OpenAI\nfrom langchain import PromptTemplate\n\n\nfrom configparser import ConfigParser\nfrom langchain.cache import InMemoryCache\nfrom posttext.src.posttext import PostText\nlangchain.llm_cache = InMemoryCache()\n\n\nclass ViewEngine:\n\n    def __init__(self, path):\n        print(path)\n        config = ConfigParser(comment_prefixes=None)\n        config.read(os.path.join(path, 'config.ini'))\n        self.posttext = PostText(config, path)\n        self.llm = OpenAI()\n\n    def verbalize(self, query: str, answer: str):\n        template = \"Question: {query}\\n\\nAnswer: {context}\\n\\n Can you summarize the answer in a single sentence (durations are in seconds)?\"\n        prompt = PromptTemplate(\n            input_variables=[\"query\", \"context\"],\n            template=template)\n        \n        return self.llm(prompt.format(query=query, context=answer))\n\n\n    def flatten(self, lst):\n        \"\"\"Flatten a nested list\n        \"\"\"\n        flattened_list = []\n        for item in lst:\n            if isinstance(item, tuple):\n                item = list(item)\n\n            if isinstance(item, list):\n                flattened_list.extend(self.flatten(item))\n            else:\n                flattened_list.append(item)\n        return flattened_list\n\n    def query(self, \n              query: str):\n        \"\"\"Answer a query using a View-based QA method.\n        \"\"\"\n        formattedprompt, sqlquery_before, sqlquery, view_res, eng_answer, provenance_ids, retrieval_res = self.posttext.query(query)\n        \n        # print(provenance_ids)\n        provenance_ids = self.flatten(provenance_ids)\n\n        # sources = [tpl[1][1] for tpl in sources]\n        return {\"question\": query, \n                \"view_res\": view_res,\n                \"eng_answer\": eng_answer,\n                \"answer\": eng_answer,\n                \"sources\": provenance_ids,\n                \"sql\": sqlquery,\n                \"sql_before\": sqlquery_before}\n\n\nif __name__ == '__main__':\n    # engine = ViewEngine(\"public/digital_data/\")\n    engine = ViewEngine(\"personal-data/app_data/\")\n    # print(engine.query(\"How many cities did I visit when I travel to Japan?\"))\n"
  },
  {
    "path": "src/requirements.txt",
    "content": "openai==0.28.1\nPySimpleGUI==4.60.4\nsentence-transformers\ntqdm==4.64.1\npytz\ntimezonefinder\ntorchvision==0.14.1\ntorch==2.2.0\nscikit-learn==1.1.3\nnumpy\ndataclasses\nrequests\ngeopy\ntzwhere\npandas\nparsedatetime\nmatplotlib\nurllib3\nelasticsearch-dsl\nspotipy\nflask\ngensim\ngeopy\nwget==3.2\npillow_heif\npysqlite3\nplotly\ntransformers\nfaiss-cpu\nhydra-core==1.3.2\nlangchain==0.1.11\nsqlparse\nflask-cors\ngit+https://github.com/openai/CLIP.git\ntiktoken\n"
  }
]